diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md deleted file mode 100644 index e41ea7c..0000000 --- a/CONTRIBUTING.md +++ /dev/null @@ -1,32 +0,0 @@ -# Contributing - -If you want to contribute bug-fixes please directly file a pull-request. If you -plan to introduce new features or extend CompressAI, please first open an issue -to start a public discussion or contact us directly. - -## Coding style - -We try to follow PEP 8 recommendations. Automatic formatting is performed via -[black](https://github.com/google/yapf://github.com/psf/black) and -[isort](https://github.com/timothycrosley/isort/). - -## Testing - -We use [pytest](https://docs.pytest.org/en/5.4.3/getting-started.html). To run -all the tests: - -* `pip install pytest pytest-cov coverage` -* `python -m pytest --cov=compressai -s` -* You can run `coverage report` or `coverage html` to visualize the tests - coverage analysis - -## Documentation - -See `docs/Readme.md` for more information. - -## Licence - -By contributing to CompressAI, you agree that your contributions will be -licensed under the same license as described in the LICENSE file at the root of -this repository. - diff --git a/LICENSE b/LICENSE deleted file mode 100644 index 298afe1..0000000 --- a/LICENSE +++ /dev/null @@ -1,28 +0,0 @@ -Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, -this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, -this list of conditions and the following disclaimer in the documentation -and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its -contributors may be used to endorse or promote products derived from this -software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER -OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. \ No newline at end of file diff --git a/MANIFEST.in b/MANIFEST.in deleted file mode 100644 index 51257a3..0000000 --- a/MANIFEST.in +++ /dev/null @@ -1,4 +0,0 @@ -include LICENSE -include requirements.txt -recursive-include compressai *.cpp *.hpp -recursive-include third_party *.h diff --git a/Makefile b/Makefile deleted file mode 100644 index dfdcf1e..0000000 --- a/Makefile +++ /dev/null @@ -1,91 +0,0 @@ -.DEFAULT_GOAL := help - -PYTORCH_DOCKER_IMAGE = pytorch/pytorch:1.8.1-cuda11.1-cudnn8 -PYTHON_DOCKER_IMAGE = python:3.8-buster - -GIT_DESCRIBE = $(shell git describe --first-parent) -ARCHIVE = compressai.tar.gz - -src_dirs := compressai tests examples docs - -.PHONY: help -help: ## Show this message - @echo "Usage: make COMMAND\n\nCommands:" - @grep '\s##\s' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf " \033[36m%-20s\033[0m %s\n", $$1, $$2}' | cat - - -# Check style and linting -.PHONY: check-black check-isort check-flake8 check-mypy static-analysis - -check-black: ## Run black checks - @echo "--> Running black checks" - @black --check --verbose --diff $(src_dirs) - -check-isort: ## Run isort checks - @echo "--> Running isort checks" - @isort --check-only $(src_dirs) - -check-flake8: ## Run flake8 checks - @echo "--> Running flake8 checks" - @flake8 $(src_dirs) - -check-mypy: ## Run mypy checks - @echo "--> Running mypy checks" - @mypy - -static-analysis: check-black check-isort check-flake8 # check-mypy ## Run all static checks - - -# Apply styling -.PHONY: style - -style: ## Apply style formating - @echo "--> Running black" - @black $(src_dirs) - @echo "--> Running isort" - @isort $(src_dirs) - - -# Run tests -.PHONY: tests coverage - -tests: ## Run tests - @echo "--> Running Python tests" - @pytest -x -m "not slow" --cov compressai --cov-append --cov-report= ./tests/ - -coverage: ## Run coverage - @echo "--> Running Python coverage" - @coverage report - @coverage html - - -# Build docs -.PHONY: docs - -docs: ## Build docs - @echo "--> Building docs" - @cd docs && SPHINXOPTS="-W" make html - - -# Docker images -.PHONY: docker docker-cpu -docker: ## Build docker image - @git archive --format=tar.gz HEAD > docker/${ARCHIVE} - @cd docker && \ - docker build \ - --build-arg PYTORCH_IMAGE=${PYTORCH_DOCKER_IMAGE} \ - --build-arg WITH_JUPYTER=0 \ - --progress=auto \ - -t compressai:${GIT_DESCRIBE} . - @rm docker/${ARCHIVE} - -docker-cpu: ## Build docker image (cpu only) - @git archive --format=tar.gz HEAD > docker/${ARCHIVE} - @cd docker && \ - docker build \ - -f Dockerfile.cpu \ - --build-arg BASE_IMAGE=${PYTHON_DOCKER_IMAGE} \ - --build-arg WITH_JUPYTER=0 \ - --progress=auto \ - -t compressai:${GIT_DESCRIBE}-cpu . - @rm docker/${ARCHIVE} diff --git a/NEWS.md b/NEWS.md deleted file mode 100644 index 12599a1..0000000 --- a/NEWS.md +++ /dev/null @@ -1,13 +0,0 @@ -2022-11-27: CompressAI now includes sadl_codec, which enables to run c++ inteference with full integer operations -2021-12-23: Compressai v1.2.0 now includes video bench pipeline and the Scale-Space-Flow model [Agustsson et al. 2020] - The license has been changed BSD-3-Clause-Clear - -2021-03-05: CompressAI is now available on PyPI! - -2021-01-26: Experimental multi-GPU support -* `aux_parameters` was dropped to support data parallel -* see the updated example/train.py -* use `load_pretrained` to convert `state_dict`s to the new format - -2020-06-21: First release of CompressAI ! - diff --git a/Readme.md b/Readme.md deleted file mode 100644 index 048e098..0000000 --- a/Readme.md +++ /dev/null @@ -1,185 +0,0 @@ -![ID-CompressAI-logo](assets/ID-compressAI-logo-750x140.png) - -# CompressAI - -[![License](https://img.shields.io/github/license/InterDigitalInc/CompressAI?color=blue)](https://github.com/InterDigitalInc/CompressAI/blob/master/LICENSE) -[![PyPI](https://img.shields.io/pypi/v/compressai?color=brightgreen)](https://pypi.org/project/compressai/) -[![Downloads](https://pepy.tech/badge/compressai)](https://pypi.org/project/compressai/#files) - -CompressAI (_compress-ay_) is a PyTorch library and evaluation platform for -end-to-end compression research. - -CompressAI currently provides: - -* custom operations, layers and models for deep learning based data compression -* a partial port of the official [TensorFlow compression](https://github.com/tensorflow/compression) library -* pre-trained end-to-end compression models for learned image compression -* evaluation scripts to compare learned models against classical image/video - compression codecs - -![PSNR performances plot on Kodak](assets/kodak-psnr.png) - - -> **Note**: Multi-GPU support is now experimental. - -## Installation - -CompressAI supports python 3.6+ and PyTorch 1.7+. - -**pip**: - -```bash -pip install compressai -``` - -> **Note**: wheels are available for Linux and MacOS. - -**From source**: - -A C++17 compiler, a recent version of pip (19.0+), and common python packages -are also required (see `setup.py` for the full list). - -To get started locally and install the development version of CompressAI, run -the following commands in a [virtual environment](https://docs.python.org/3.6/library/venv.html): - -```bash -git clone https://github.com/InterDigitalInc/CompressAI compressai -cd compressai -pip install -U pip && pip install -e . -``` - -For a custom installation, you can also run one of the following commands: -* `pip install -e '.[dev]'`: install the packages required for development (testing, linting, docs) -* `pip install -e '.[tutorials]'`: install the packages required for the tutorials (notebooks) -* `pip install -e '.[all]'`: install all the optional packages - -> **Note**: Docker images will be released in the future. Conda environments are not -officially supported. - -## Documentation - -* [Installation](https://interdigitalinc.github.io/CompressAI/installation.html) -* [CompressAI API](https://interdigitalinc.github.io/CompressAI/) -* [Training your own model](https://interdigitalinc.github.io/CompressAI/tutorials/tutorial_train.html) -* [List of available models (model zoo)](https://interdigitalinc.github.io/CompressAI/zoo.html) - -## Usage - -### Examples - -Script and notebook examples can be found in the `examples/` directory. - -To encode/decode images with the provided pre-trained models, run the -`codec.py` example: - -```bash -python3 examples/codec.py --help -``` - -An examplary training script with a rate-distortion loss is provided in -`examples/train.py`. You can replace the model used in the training script -with your own model implemented within CompressAI, and then run the script for a -simple training pipeline: - -```bash -python3 examples/train.py -d /path/to/my/image/dataset/ --epochs 300 -lr 1e-4 --batch-size 16 --cuda --save -``` -> **Note:** the training example uses a custom [ImageFolder](https://interdigitalinc.github.io/CompressAI/datasets.html#imagefolder) structure. - -A jupyter notebook illustrating the usage of a pre-trained model for learned image -compression is also provided in the `examples` directory: - -```bash -pip install -U ipython jupyter ipywidgets matplotlib -jupyter notebook examples/ -``` - -### Evaluation - -To evaluate a trained model on your own dataset, CompressAI provides an -evaluation script: - -```bash -python3 -m compressai.utils.eval_model checkpoint /path/to/images/folder/ -a $ARCH -p $MODEL_CHECKPOINT... -``` - -To evaluate provided pre-trained models: - -```bash -python3 -m compressai.utils.eval_model pretrained /path/to/images/folder/ -a $ARCH -q $QUALITY_LEVELS... -``` - -To plot results from bench/eval_model simulations (requires matplotlib by default): - -```bash -python3 -m compressai.utils.plot --help -``` - -To evaluate traditional codecs: - -```bash -python3 -m compressai.utils.bench --help -python3 -m compressai.utils.bench bpg --help -python3 -m compressai.utils.bench vtm --help -``` - -For video, similar tests can be run, CompressAI only includes ssf2020 for now: - -```bash -python3 -m compressai.utils.video.eval_model checkpoint /path/to/video/folder/ -a ssf2020 -p $MODEL_CHECKPOINT... -python3 -m compressai.utils.video.eval_model pretrained /path/to/video/folder/ -a ssf2020 -q $QUALITY_LEVELS... -python3 -m compressai.utils.video.bench x265 --help -python3 -m compressai.utils.video.bench VTM --help -python3 -m compressai.utils.video.plot --help -``` - -## Tests - -Run tests with `pytest`: - -```bash -pytest -sx --cov=compressai --cov-append --cov-report term-missing tests -``` - -Slow tests can be skipped with the `-m "not slow"` option. - - -## License - -CompressAI is licensed under the BSD 3-Clause Clear License - -## Contributing - -We welcome feedback and contributions. Please open a GitHub issue to report -bugs, request enhancements or if you have any questions. - -Before contributing, please read the CONTRIBUTING.md file. - -## Authors - -* Jean Bégaint, Fabien Racapé, Simon Feltman and Hyomin Choi, InterDigital AI Lab. - -## Citation - -If you use this project, please cite the relevant original publications for the -models and datasets, and cite this project as: - -``` -@article{begaint2020compressai, - title={CompressAI: a PyTorch library and evaluation platform for end-to-end compression research}, - author={B{\'e}gaint, Jean and Racap{\'e}, Fabien and Feltman, Simon and Pushparaja, Akshay}, - year={2020}, - journal={arXiv preprint arXiv:2011.03029}, -} -``` - -## Related links - * Tensorflow compression library by _Ballé et al._: https://github.com/tensorflow/compression - * Range Asymmetric Numeral System code from _Fabian 'ryg' Giesen_: https://github.com/rygorous/ryg_rans - * BPG image format by _Fabrice Bellard_: https://bellard.org/bpg - * HEVC HM reference software: https://hevc.hhi.fraunhofer.de - * VVC VTM reference software: https://vcgit.hhi.fraunhofer.de/jvet/VVCSoftware_VTM - * AOM AV1 reference software: https://aomedia.googlesource.com/aom - * Z. Cheng et al. 2020: https://github.com/ZhengxueCheng/Learned-Image-Compression-with-GMM-and-Attention - * Kodak image dataset: http://r0k.us/graphics/kodak/ - diff --git a/assets/ID-compressAI-logo-750x140.png b/assets/ID-compressAI-logo-750x140.png deleted file mode 100644 index a6cfb1f..0000000 Binary files a/assets/ID-compressAI-logo-750x140.png and /dev/null differ diff --git a/assets/kodak-psnr.png b/assets/kodak-psnr.png deleted file mode 100644 index 84258fa..0000000 Binary files a/assets/kodak-psnr.png and /dev/null differ diff --git a/compressai/__init__.py b/compressai/__init__.py index e677975..c4ea73a 100644 --- a/compressai/__init__.py +++ b/compressai/__init__.py @@ -1,97 +1,8 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from compressai import ( - datasets, - entropy_models, - latent_codecs, - layers, - losses, - models, - ops, - optimizers, - registry, - transforms, - typing, - zoo, -) - -try: - from .version import __version__ -except ImportError: - pass - -_entropy_coder = "ans" -_available_entropy_coders = [_entropy_coder] - -try: - import range_coder - - _available_entropy_coders.append("rangecoder") -except ImportError: - pass - - -def set_entropy_coder(entropy_coder): - """ - Specifies the default entropy coder used to encode the bit-streams. - - Use :mod:`available_entropy_coders` to list the possible values. - - Args: - entropy_coder (string): Name of the entropy coder - """ - global _entropy_coder - if entropy_coder not in _available_entropy_coders: - raise ValueError( - f'Invalid entropy coder "{entropy_coder}", choose from' - f'({", ".join(_available_entropy_coders)}).' - ) - _entropy_coder = entropy_coder - - -def get_entropy_coder(): - """ - Return the name of the default entropy coder used to encode the bit-streams. - """ - return _entropy_coder - - -def available_entropy_coders(): - """ - Return the list of available entropy coders. - """ - return _available_entropy_coders +import compressai as compressai +from . import entropy_models, latent_codecs, layers, losses, models, ops, optimizers __all__ = [ - "datasets", "entropy_models", "latent_codecs", "layers", @@ -99,11 +10,4 @@ def available_entropy_coders(): "models", "ops", "optimizers", - "registry", - "transforms", - "typing", - "zoo", - "available_entropy_coders", - "get_entropy_coder", - "set_entropy_coder", ] diff --git a/compressai/cpp_exts/ops/ops.cpp b/compressai/cpp_exts/ops/ops.cpp deleted file mode 100644 index 1b528fe..0000000 --- a/compressai/cpp_exts/ops/ops.cpp +++ /dev/null @@ -1,118 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc - * All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted (subject to the limitations in the disclaimer - * below) provided that the following conditions are met: - * - * * Redistributions of source code must retain the above copyright notice, - * this list of conditions and the following disclaimer. - * * Redistributions in binary form must reproduce the above copyright notice, - * this list of conditions and the following disclaimer in the documentation - * and/or other materials provided with the distribution. - * * Neither the name of InterDigital Communications, Inc nor the names of its - * contributors may be used to endorse or promote products derived from this - * software without specific prior written permission. - * - * NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY - * THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND - * CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT - * NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A - * PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR - * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, - * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, - * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; - * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, - * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR - * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF - * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - */ - -#include -#include - -#include -#include -#include -#include -#include - -std::vector pmf_to_quantized_cdf(const std::vector &pmf, - int precision) { - /* NOTE(begaintj): ported from `ryg_rans` public implementation. Not optimal - * although it's only run once per model after training. See TF/compression - * implementation for an optimized version. */ - - for (float p : pmf) { - if (p < 0 || !std::isfinite(p)) { - throw std::domain_error( - std::string("Invalid `pmf`, non-finite or negative element found: ") + - std::to_string(p)); - } - } - - std::vector cdf(pmf.size() + 1); - cdf[0] = 0; /* freq 0 */ - - std::transform(pmf.begin(), pmf.end(), cdf.begin() + 1, - [=](float p) { return std::round(p * (1 << precision)); }); - - const uint32_t total = std::accumulate(cdf.begin(), cdf.end(), 0); - if (total == 0) { - throw std::domain_error("Invalid `pmf`: at least one element must have a " - "non-zero probability."); - } - - std::transform(cdf.begin(), cdf.end(), cdf.begin(), - [precision, total](uint32_t p) { - return ((static_cast(1 << precision) * p) / total); - }); - - std::partial_sum(cdf.begin(), cdf.end(), cdf.begin()); - cdf.back() = 1 << precision; - - for (int i = 0; i < static_cast(cdf.size() - 1); ++i) { - if (cdf[i] == cdf[i + 1]) { - /* Try to steal frequency from low-frequency symbols */ - uint32_t best_freq = ~0u; - int best_steal = -1; - for (int j = 0; j < static_cast(cdf.size()) - 1; ++j) { - uint32_t freq = cdf[j + 1] - cdf[j]; - if (freq > 1 && freq < best_freq) { - best_freq = freq; - best_steal = j; - } - } - - assert(best_steal != -1); - - if (best_steal < i) { - for (int j = best_steal + 1; j <= i; ++j) { - cdf[j]--; - } - } else { - assert(best_steal > i); - for (int j = i + 1; j <= best_steal; ++j) { - cdf[j]++; - } - } - } - } - - assert(cdf[0] == 0); - assert(cdf.back() == (1 << precision)); - for (int i = 0; i < static_cast(cdf.size()) - 1; ++i) { - assert(cdf[i + 1] > cdf[i]); - } - - return cdf; -} - -PYBIND11_MODULE(_CXX, m) { - m.attr("__name__") = "compressai._CXX"; - - m.doc() = "C++ utils"; - - m.def("pmf_to_quantized_cdf", &pmf_to_quantized_cdf, - "Return quantized CDF for a given PMF"); -} diff --git a/compressai/cpp_exts/rans/rans_interface.cpp b/compressai/cpp_exts/rans/rans_interface.cpp deleted file mode 100644 index e4e2e41..0000000 --- a/compressai/cpp_exts/rans/rans_interface.cpp +++ /dev/null @@ -1,381 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc - * All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted (subject to the limitations in the disclaimer - * below) provided that the following conditions are met: - * - * * Redistributions of source code must retain the above copyright notice, - * this list of conditions and the following disclaimer. - * * Redistributions in binary form must reproduce the above copyright notice, - * this list of conditions and the following disclaimer in the documentation - * and/or other materials provided with the distribution. - * * Neither the name of InterDigital Communications, Inc nor the names of its - * contributors may be used to endorse or promote products derived from this - * software without specific prior written permission. - * - * NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY - * THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND - * CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT - * NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A - * PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR - * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, - * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, - * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; - * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, - * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR - * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF - * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - */ - -#include "rans_interface.hpp" - -#include -#include - -#include -#include -#include -#include -#include -#include -#include - -#include "rans64.h" - -namespace py = pybind11; - -/* probability range, this could be a parameter... */ -constexpr int precision = 16; - -constexpr uint16_t bypass_precision = 4; /* number of bits in bypass mode */ -constexpr uint16_t max_bypass_val = (1 << bypass_precision) - 1; - -namespace { - -/* We only run this in debug mode as its costly... */ -void assert_cdfs(const std::vector> &cdfs, - const std::vector &cdfs_sizes) { - for (int i = 0; i < static_cast(cdfs.size()); ++i) { - assert(cdfs[i][0] == 0); - assert(cdfs[i][cdfs_sizes[i] - 1] == (1 << precision)); - for (int j = 0; j < cdfs_sizes[i] - 1; ++j) { - assert(cdfs[i][j + 1] > cdfs[i][j]); - } - } -} - -/* Support only 16 bits word max */ -inline void Rans64EncPutBits(Rans64State *r, uint32_t **pptr, uint32_t val, - uint32_t nbits) { - assert(nbits <= 16); - assert(val < (1u << nbits)); - - /* Re-normalize */ - uint64_t x = *r; - uint32_t freq = 1 << (16 - nbits); - uint64_t x_max = ((RANS64_L >> 16) << 32) * freq; - if (x >= x_max) { - *pptr -= 1; - **pptr = (uint32_t)x; - x >>= 32; - Rans64Assert(x < x_max); - } - - /* x = C(s, x) */ - *r = (x << nbits) | val; -} - -inline uint32_t Rans64DecGetBits(Rans64State *r, uint32_t **pptr, - uint32_t n_bits) { - uint64_t x = *r; - uint32_t val = x & ((1u << n_bits) - 1); - - /* Re-normalize */ - x = x >> n_bits; - if (x < RANS64_L) { - x = (x << 32) | **pptr; - *pptr += 1; - Rans64Assert(x >= RANS64_L); - } - - *r = x; - - return val; -} -} // namespace - -void BufferedRansEncoder::encode_with_indexes( - const std::vector &symbols, const std::vector &indexes, - const std::vector> &cdfs, - const std::vector &cdfs_sizes, - const std::vector &offsets) { - assert(cdfs.size() == cdfs_sizes.size()); - assert_cdfs(cdfs, cdfs_sizes); - - // backward loop on symbols from the end; - for (size_t i = 0; i < symbols.size(); ++i) { - const int32_t cdf_idx = indexes[i]; - assert(cdf_idx >= 0); - assert(cdf_idx < cdfs.size()); - - const auto &cdf = cdfs[cdf_idx]; - - const int32_t max_value = cdfs_sizes[cdf_idx] - 2; - assert(max_value >= 0); - assert((max_value + 1) < cdf.size()); - - int32_t value = symbols[i] - offsets[cdf_idx]; - - uint32_t raw_val = 0; - if (value < 0) { - raw_val = -2 * value - 1; - value = max_value; - } else if (value >= max_value) { - raw_val = 2 * (value - max_value); - value = max_value; - } - - assert(value >= 0); - assert(value < cdfs_sizes[cdf_idx] - 1); - - _syms.push_back({static_cast(cdf[value]), - static_cast(cdf[value + 1] - cdf[value]), - false}); - - /* Bypass coding mode (value == max_value -> sentinel flag) */ - if (value == max_value) { - /* Determine the number of bypasses (in bypass_precision size) needed to - * encode the raw value. */ - int32_t n_bypass = 0; - while ((raw_val >> (n_bypass * bypass_precision)) != 0) { - ++n_bypass; - } - - /* Encode number of bypasses */ - int32_t val = n_bypass; - while (val >= max_bypass_val) { - _syms.push_back({max_bypass_val, max_bypass_val + 1, true}); - val -= max_bypass_val; - } - _syms.push_back( - {static_cast(val), static_cast(val + 1), true}); - - /* Encode raw value */ - for (int32_t j = 0; j < n_bypass; ++j) { - const int32_t val = - (raw_val >> (j * bypass_precision)) & max_bypass_val; - _syms.push_back( - {static_cast(val), static_cast(val + 1), true}); - } - } - } -} - -py::bytes BufferedRansEncoder::flush() { - Rans64State rans; - Rans64EncInit(&rans); - - std::vector output(_syms.size(), 0xCC); // too much space ? - uint32_t *ptr = output.data() + output.size(); - assert(ptr != nullptr); - - while (!_syms.empty()) { - const RansSymbol sym = _syms.back(); - - if (!sym.bypass) { - Rans64EncPut(&rans, &ptr, sym.start, sym.range, precision); - } else { - // unlikely... - Rans64EncPutBits(&rans, &ptr, sym.start, bypass_precision); - } - _syms.pop_back(); - } - - Rans64EncFlush(&rans, &ptr); - - const int nbytes = - std::distance(ptr, output.data() + output.size()) * sizeof(uint32_t); - return std::string(reinterpret_cast(ptr), nbytes); -} - -py::bytes -RansEncoder::encode_with_indexes(const std::vector &symbols, - const std::vector &indexes, - const std::vector> &cdfs, - const std::vector &cdfs_sizes, - const std::vector &offsets) { - - BufferedRansEncoder buffered_rans_enc; - buffered_rans_enc.encode_with_indexes(symbols, indexes, cdfs, cdfs_sizes, - offsets); - return buffered_rans_enc.flush(); -} - -std::vector -RansDecoder::decode_with_indexes(const std::string &encoded, - const std::vector &indexes, - const std::vector> &cdfs, - const std::vector &cdfs_sizes, - const std::vector &offsets) { - assert(cdfs.size() == cdfs_sizes.size()); - assert_cdfs(cdfs, cdfs_sizes); - - std::vector output(indexes.size()); - - Rans64State rans; - uint32_t *ptr = (uint32_t *)encoded.data(); - assert(ptr != nullptr); - Rans64DecInit(&rans, &ptr); - - for (int i = 0; i < static_cast(indexes.size()); ++i) { - const int32_t cdf_idx = indexes[i]; - assert(cdf_idx >= 0); - assert(cdf_idx < cdfs.size()); - - const auto &cdf = cdfs[cdf_idx]; - - const int32_t max_value = cdfs_sizes[cdf_idx] - 2; - assert(max_value >= 0); - assert((max_value + 1) < cdf.size()); - - const int32_t offset = offsets[cdf_idx]; - - const uint32_t cum_freq = Rans64DecGet(&rans, precision); - - const auto cdf_end = cdf.begin() + cdfs_sizes[cdf_idx]; - const auto it = std::find_if(cdf.begin(), cdf_end, - [cum_freq](int v) { return v > cum_freq; }); - assert(it != cdf_end + 1); - const uint32_t s = std::distance(cdf.begin(), it) - 1; - - Rans64DecAdvance(&rans, &ptr, cdf[s], cdf[s + 1] - cdf[s], precision); - - int32_t value = static_cast(s); - - if (value == max_value) { - /* Bypass decoding mode */ - int32_t val = Rans64DecGetBits(&rans, &ptr, bypass_precision); - int32_t n_bypass = val; - - while (val == max_bypass_val) { - val = Rans64DecGetBits(&rans, &ptr, bypass_precision); - n_bypass += val; - } - - int32_t raw_val = 0; - for (int j = 0; j < n_bypass; ++j) { - val = Rans64DecGetBits(&rans, &ptr, bypass_precision); - assert(val <= max_bypass_val); - raw_val |= val << (j * bypass_precision); - } - value = raw_val >> 1; - if (raw_val & 1) { - value = -value - 1; - } else { - value += max_value; - } - } - - output[i] = value + offset; - } - - return output; -} - -void RansDecoder::set_stream(const std::string &encoded) { - _stream = encoded; - uint32_t *ptr = (uint32_t *)_stream.data(); - assert(ptr != nullptr); - _ptr = ptr; - Rans64DecInit(&_rans, &_ptr); -} - -std::vector -RansDecoder::decode_stream(const std::vector &indexes, - const std::vector> &cdfs, - const std::vector &cdfs_sizes, - const std::vector &offsets) { - assert(cdfs.size() == cdfs_sizes.size()); - assert_cdfs(cdfs, cdfs_sizes); - - std::vector output(indexes.size()); - - assert(_ptr != nullptr); - - for (int i = 0; i < static_cast(indexes.size()); ++i) { - const int32_t cdf_idx = indexes[i]; - assert(cdf_idx >= 0); - assert(cdf_idx < cdfs.size()); - - const auto &cdf = cdfs[cdf_idx]; - - const int32_t max_value = cdfs_sizes[cdf_idx] - 2; - assert(max_value >= 0); - assert((max_value + 1) < cdf.size()); - - const int32_t offset = offsets[cdf_idx]; - - const uint32_t cum_freq = Rans64DecGet(&_rans, precision); - - const auto cdf_end = cdf.begin() + cdfs_sizes[cdf_idx]; - const auto it = std::find_if(cdf.begin(), cdf_end, - [cum_freq](int v) { return v > cum_freq; }); - assert(it != cdf_end + 1); - const uint32_t s = std::distance(cdf.begin(), it) - 1; - - Rans64DecAdvance(&_rans, &_ptr, cdf[s], cdf[s + 1] - cdf[s], precision); - - int32_t value = static_cast(s); - - if (value == max_value) { - /* Bypass decoding mode */ - int32_t val = Rans64DecGetBits(&_rans, &_ptr, bypass_precision); - int32_t n_bypass = val; - - while (val == max_bypass_val) { - val = Rans64DecGetBits(&_rans, &_ptr, bypass_precision); - n_bypass += val; - } - - int32_t raw_val = 0; - for (int j = 0; j < n_bypass; ++j) { - val = Rans64DecGetBits(&_rans, &_ptr, bypass_precision); - assert(val <= max_bypass_val); - raw_val |= val << (j * bypass_precision); - } - value = raw_val >> 1; - if (raw_val & 1) { - value = -value - 1; - } else { - value += max_value; - } - } - - output[i] = value + offset; - } - - return output; -} - -PYBIND11_MODULE(ans, m) { - m.attr("__name__") = "compressai.ans"; - - m.doc() = "range Asymmetric Numeral System python bindings"; - - py::class_(m, "BufferedRansEncoder") - .def(py::init<>()) - .def("encode_with_indexes", &BufferedRansEncoder::encode_with_indexes) - .def("flush", &BufferedRansEncoder::flush); - - py::class_(m, "RansEncoder") - .def(py::init<>()) - .def("encode_with_indexes", &RansEncoder::encode_with_indexes); - - py::class_(m, "RansDecoder") - .def(py::init<>()) - .def("set_stream", &RansDecoder::set_stream) - .def("decode_stream", &RansDecoder::decode_stream) - .def("decode_with_indexes", &RansDecoder::decode_with_indexes, - "Decode a string to a list of symbols"); -} diff --git a/compressai/cpp_exts/rans/rans_interface.hpp b/compressai/cpp_exts/rans/rans_interface.hpp deleted file mode 100644 index accdade..0000000 --- a/compressai/cpp_exts/rans/rans_interface.hpp +++ /dev/null @@ -1,113 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc - * All rights reserved. - * - * Redistribution and use in source and binary forms, with or without - * modification, are permitted (subject to the limitations in the disclaimer - * below) provided that the following conditions are met: - * - * * Redistributions of source code must retain the above copyright notice, - * this list of conditions and the following disclaimer. - * * Redistributions in binary form must reproduce the above copyright notice, - * this list of conditions and the following disclaimer in the documentation - * and/or other materials provided with the distribution. - * * Neither the name of InterDigital Communications, Inc nor the names of its - * contributors may be used to endorse or promote products derived from this - * software without specific prior written permission. - * - * NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY - * THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND - * CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT - * NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A - * PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR - * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, - * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, - * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; - * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, - * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR - * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF - * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - */ - -#pragma once - -#include -#include - -#include "rans64.h" - -namespace py = pybind11; - -struct RansSymbol { - uint16_t start; - uint16_t range; - bool bypass; // bypass flag to write raw bits to the stream -}; - -/* NOTE: Warning, we buffer everything for now... In case of large files we - * should split the bitstream into chunks... Or for a memory-bounded encoder - **/ -class BufferedRansEncoder { -public: - BufferedRansEncoder() = default; - - BufferedRansEncoder(const BufferedRansEncoder &) = delete; - BufferedRansEncoder(BufferedRansEncoder &&) = delete; - BufferedRansEncoder &operator=(const BufferedRansEncoder &) = delete; - BufferedRansEncoder &operator=(BufferedRansEncoder &&) = delete; - - void encode_with_indexes(const std::vector &symbols, - const std::vector &indexes, - const std::vector> &cdfs, - const std::vector &cdfs_sizes, - const std::vector &offsets); - py::bytes flush(); - -private: - std::vector _syms; -}; - -class RansEncoder { -public: - RansEncoder() = default; - - RansEncoder(const RansEncoder &) = delete; - RansEncoder(RansEncoder &&) = delete; - RansEncoder &operator=(const RansEncoder &) = delete; - RansEncoder &operator=(RansEncoder &&) = delete; - - py::bytes encode_with_indexes(const std::vector &symbols, - const std::vector &indexes, - const std::vector> &cdfs, - const std::vector &cdfs_sizes, - const std::vector &offsets); -}; - -class RansDecoder { -public: - RansDecoder() = default; - - RansDecoder(const RansDecoder &) = delete; - RansDecoder(RansDecoder &&) = delete; - RansDecoder &operator=(const RansDecoder &) = delete; - RansDecoder &operator=(RansDecoder &&) = delete; - - std::vector - decode_with_indexes(const std::string &encoded, - const std::vector &indexes, - const std::vector> &cdfs, - const std::vector &cdfs_sizes, - const std::vector &offsets); - - void set_stream(const std::string &stream); - - std::vector - decode_stream(const std::vector &indexes, - const std::vector> &cdfs, - const std::vector &cdfs_sizes, - const std::vector &offsets); - -private: - Rans64State _rans; - std::string _stream; - uint32_t *_ptr; -}; diff --git a/compressai/datasets/__init__.py b/compressai/datasets/__init__.py deleted file mode 100644 index d22b8c7..0000000 --- a/compressai/datasets/__init__.py +++ /dev/null @@ -1,41 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .image import ImageFolder -from .pregenerated import PreGeneratedMemmapDataset -from .rawvideo import * -from .video import VideoFolder -from .vimeo90k import Vimeo90kDataset - -__all__ = [ - "ImageFolder", - "PreGeneratedMemmapDataset", - "VideoFolder", - "Vimeo90kDataset", -] diff --git a/compressai/datasets/image.py b/compressai/datasets/image.py deleted file mode 100644 index 4b6de77..0000000 --- a/compressai/datasets/image.py +++ /dev/null @@ -1,84 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from pathlib import Path - -from PIL import Image -from torch.utils.data import Dataset - -from compressai.registry import register_dataset - - -@register_dataset("ImageFolder") -class ImageFolder(Dataset): - """Load an image folder database. Training and testing image samples - are respectively stored in separate directories: - - .. code-block:: - - - rootdir/ - - train/ - - img000.png - - img001.png - - test/ - - img000.png - - img001.png - - Args: - root (string): root directory of the dataset - transform (callable, optional): a function or transform that takes in a - PIL image and returns a transformed version - split (string): split mode ('train' or 'val') - """ - - def __init__(self, root, transform=None, split="train"): - splitdir = Path(root) / split - - if not splitdir.is_dir(): - raise RuntimeError(f'Invalid directory "{root}"') - - self.samples = sorted(f for f in splitdir.iterdir() if f.is_file()) - - self.transform = transform - - def __getitem__(self, index): - """ - Args: - index (int): Index - - Returns: - img: `PIL.Image.Image` or transformed `PIL.Image.Image`. - """ - img = Image.open(self.samples[index]).convert("RGB") - if self.transform: - return self.transform(img) - return img - - def __len__(self): - return len(self.samples) diff --git a/compressai/datasets/pregenerated.py b/compressai/datasets/pregenerated.py deleted file mode 100644 index 043514c..0000000 --- a/compressai/datasets/pregenerated.py +++ /dev/null @@ -1,103 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from pathlib import Path -from typing import Tuple, Union - -import numpy as np - -from PIL import Image -from torch.utils.data import Dataset - -from compressai.registry import register_dataset - -_size_2_t = Union[int, Tuple[int, int]] - - -@register_dataset("PreGeneratedMemmapDataset") -class PreGeneratedMemmapDataset(Dataset): - """A data loader for memory-mapped numpy arrays. - - This allows for fast training where the images patches have already been - extracted and shuffled. The numpy array in expected to have the following - size: `NxHxWx3`, with `N` the number of samples, `H` and `W` the images - dimensions. - - Args: - root (string): root directory where the numpy arrays are located. - image_size (int, int): size of the images in the array. - patch_size (int): size of the patches to be randomly cropped for training. - split (string): split mode ('train' or 'val'). - batch_size (int): batch size. - num_workers (int): number of CPU thread workers. - pin_memory (bool): pin memory. - """ - - def __init__( - self, - root: str, - transform=None, - split: str = "train", - image_size: _size_2_t = (256, 256), - ): - if not Path(root).is_dir(): - raise RuntimeError(f"Invalid path {root}") - - self.split = split - self.transform = transform - - self.shuffle = False - - if split == "train": - filename = "training.npy" - elif split == "valid": - filename = "validation.npy" - else: - raise ValueError() - path = Path(root) / filename - data: np.ndarray = np.memmap(path, mode="r", dtype="uint8") - assert data.size > 0 - image_size = _coerce_size_2_t(image_size) - self.data = data.reshape((-1, image_size[0], image_size[1], 3)) - - def __getitem__(self, index): - sample = self.data[index] - sample = Image.fromarray(sample) - if self.transform: - return self.transform(sample) - return sample - - def __len__(self): - return self.data.shape[0] - - -def _coerce_size_2_t(x: _size_2_t) -> Tuple[int, int]: - if isinstance(x, int): - return x, x - return x diff --git a/compressai/datasets/rawvideo.py b/compressai/datasets/rawvideo.py deleted file mode 100644 index b97b1f4..0000000 --- a/compressai/datasets/rawvideo.py +++ /dev/null @@ -1,321 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import enum -import re - -from fractions import Fraction -from typing import Any, Dict, Sequence, Union - -import numpy as np - - -class VideoFormat(enum.Enum): - YUV400 = "yuv400" # planar 4:0:0 YUV - YUV420 = "yuv420" # planar 4:2:0 YUV - YUV422 = "yuv422" # planar 4:2:2 YUV - YUV444 = "yuv444" # planar 4:4:4 YUV - RGB = "rgb" # planar 4:4:4 RGB - - -# Table of "fourcc" formats from Vooya, GStreamer, and ffmpeg mapped to a normalized enum value. -video_formats = { - "yuv400": VideoFormat.YUV400, - "yuv420": VideoFormat.YUV420, - "420": VideoFormat.YUV420, - "p420": VideoFormat.YUV420, - "i420": VideoFormat.YUV420, - "yuv422": VideoFormat.YUV422, - "p422": VideoFormat.YUV422, - "i422": VideoFormat.YUV422, - "y42B": VideoFormat.YUV422, - "yuv444": VideoFormat.YUV444, - "p444": VideoFormat.YUV444, - "y444": VideoFormat.YUV444, -} - - -framerate_to_fraction = { - "23.98": Fraction(24000, 1001), - "23.976": Fraction(24000, 1001), - "29.97": Fraction(30000, 1001), - "59.94": Fraction(60000, 1001), -} - -file_extensions = { - "yuv", - "rgb", - "raw", -} - - -subsampling = { - VideoFormat.YUV400: (0, 0), - VideoFormat.YUV420: (2, 2), - VideoFormat.YUV422: (2, 1), - VideoFormat.YUV444: (1, 1), -} - - -bitdepth_to_dtype = { - 8: np.uint8, - 10: np.uint16, - 12: np.uint16, - 14: np.uint16, - 16: np.uint16, -} - - -def make_dtype(format, value_type, width, height): - # Use float division with rounding to account for oddly sized Y planes - # and even sized U and V planes to match ffmpeg. - - w_sub, h_sub = subsampling[format] - if h_sub > 1: - sub_height = (height + 1) // h_sub - elif h_sub: - sub_height = round(height / h_sub) - else: - sub_height = 0 - - if w_sub > 1: - sub_width = (width + 1) // w_sub if w_sub else 0 - elif w_sub: - sub_width = round(width / w_sub) - else: - sub_width = 0 - - return np.dtype( - [ - ("y", value_type, (height, width)), - ("u", value_type, (sub_height, sub_width)), - ("v", value_type, (sub_height, sub_width)), - ] - ) - - -def get_raw_video_file_info(filename: str) -> Dict[str, Any]: - """ - Deduce size, framerate, bitdepth, and format from the filename based on the - Vooya specifcation. - - This is defined as follows: - - youNameIt_WIDTHxHEIGHT[_FPS[Hz|fps]][_BITSbit][_(P420|P422|P444|UYVY|YUY2|YUYV|I444)].[rgb|yuv|bw|rgba|bgr|bgra … ] - - See: - - Additional support for the GStreamer and ffmpeg format string deduction is - also supported (I420_10LE and yuv420p10le for example). - See: - - Returns (dict): - Dictionary containing width, height, framerate, bitdepth, and format - information if found. - """ - size_pattern = r"(?P\d+)x(?P\d+)" - framerate_pattern = r"(?P[\d\.]+)(?:Hz|fps)" - bitdepth_pattern = r"(?P\d+)bit" - formats = "|".join(video_formats.keys()) - format_pattern = ( - rf"(?P{formats})(?:[p_]?(?P\d+)(?PLE|BE))?" - ) - extension_pattern = rf"(?P{'|'.join(file_extensions)})" - cut_pattern = "([0-9]+)-([0-9]+)" - - patterns = ( - size_pattern, - framerate_pattern, - bitdepth_pattern, - format_pattern, - cut_pattern, - extension_pattern, - ) - info: Dict[str, Any] = {} - for pattern in patterns: - match = re.search(pattern, filename) - if match: - info.update(match.groupdict()) - - if not info: - return {} - - if info["bitdepth"] and info["bitdepth2"] and info["bitdepth"] != info["bitdepth2"]: - raise ValueError(f'Filename "{filename}" specifies bit-depth twice.') - - if info["bitdepth2"]: - info["bitdepth"] = info["bitdepth2"] - del info["bitdepth2"] - - outinfo: Dict[str, Union[str, int, float, Fraction, VideoFormat]] = {} - outinfo.update(info) - - # Normalize the format - if info["format"] is not None: - outinfo["format"] = video_formats.get(info["format"].lower(), info["format"]) - - if info["endianness"] is not None: - outinfo["endianness"] = info["endianness"].lower() - - if info["framerate"] is not None: - framerate = info["framerate"] - if framerate in framerate_to_fraction: - outinfo["framerate"] = framerate_to_fraction[framerate] - else: - outinfo["framerate"] = Fraction(framerate) - - for key in ("width", "height", "bitdepth"): - if info.get(key) is not None: - outinfo[key] = int(info[key]) - - return outinfo - - -def get_num_frms(file_size, width, height, video_format, dtype): - w_sub, h_sub = subsampling[video_format] - itemsize = np.array([0], dtype=dtype).itemsize - - frame_size = (width * height) + 2 * ( - round(width / w_sub) * round(height / h_sub) - ) * itemsize - - total_num_frms = file_size // frame_size - - return total_num_frms - - -class RawVideoSequence(Sequence[np.ndarray]): - """ - Generalized encapsulation of raw video buffer data that can hold RGB or - YCbCr with sub-sampling. - - Args: - data: Single dimension array of the raw video data. - width: Video width, if not given it may be deduced from the filename. - height: Video height, if not given it may be deduced from the filename. - bitdepth: Video bitdepth, if not given it may be deduced from the filename. - format: Video format, if not given it may be deduced from the filename. - framerate: Video framerate, if not given it may be deduced from the filename. - """ - - def __init__( - self, - mmap: np.memmap, - width: int, - height: int, - bitdepth: int, - format: VideoFormat, - framerate: int, - ): - self.width = width - self.height = height - self.bitdepth = bitdepth - self.framerate = framerate - - if isinstance(format, str): - self.format = video_formats[format.lower()] - else: - self.format = format - - value_type = bitdepth_to_dtype[bitdepth] - self.dtype = make_dtype( - self.format, value_type=value_type, width=width, height=height - ) - self.data = mmap.view(self.dtype) - - self.total_frms = get_num_frms(mmap.size, width, height, format, value_type) - - @classmethod - def new_like( - cls, sequence: "RawVideoSequence", filename: str - ) -> "RawVideoSequence": - mmap = np.memmap(filename, dtype=bitdepth_to_dtype[sequence.bitdepth], mode="r") - return cls( - mmap, - width=sequence.width, - height=sequence.height, - bitdepth=sequence.bitdepth, - format=sequence.format, - framerate=sequence.framerate, - ) - - @classmethod - def from_file( - cls, - filename: str, - width: int = None, - height: int = None, - bitdepth: int = None, - format: VideoFormat = None, - framerate: int = None, - ) -> "RawVideoSequence": - """ - Loads a raw video file from the given filename. - - Args: - filename: Name of file to load. - width: Video width, if not given it may be deduced from the filename. - height: Video height, if not given it may be deduced from the filename. - bitdepth: Video bitdepth, if not given it may be deduced from the filename. - format: Video format, if not given it may be deduced from the filename. - - Returns (RawVideoSequence): - A RawVideoSequence instance wrapping the file on disk with a - np memmap. - """ - info = get_raw_video_file_info(filename) - - bitdepth = bitdepth if bitdepth else info.get("bitdepth", None) - format = format if format else info.get("format", None) - height = height if height else info.get("height", None) - width = width if width else info.get("width", None) - framerate = framerate if framerate else info.get("framerate", None) - - if width is None or height is None or bitdepth is None or format is None: - raise RuntimeError(f"Could not get sequence information {filename}") - - mmap = np.memmap(filename, dtype=bitdepth_to_dtype[bitdepth], mode="r") - - return cls( - mmap, - width=width, - height=height, - bitdepth=bitdepth, - format=format, - framerate=framerate, - ) - - def __getitem__(self, index: Union[int, slice]) -> Any: - return self.data[index] - - def __len__(self) -> int: - return len(self.data) - - def close(self): - del self.data diff --git a/compressai/datasets/video.py b/compressai/datasets/video.py deleted file mode 100644 index f1ae65e..0000000 --- a/compressai/datasets/video.py +++ /dev/null @@ -1,135 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - - -import random - -from pathlib import Path - -import numpy as np -import torch - -from PIL import Image -from torch.utils.data import Dataset - -from compressai.registry import register_dataset - - -@register_dataset("VideoFolder") -class VideoFolder(Dataset): - """Load a video folder database. Training and testing video clips - are stored in a directorie containing mnay sub-directorie like Vimeo90K Dataset: - - .. code-block:: - - - rootdir/ - train.list - test.list - - sequences/ - - 00010/ - ... - -0932/ - -0933/ - ... - - 00011/ - ... - - 00012/ - ... - - training and testing (valid) clips are withdrew from sub-directory navigated by - corresponding input files listing relevant folders. - - This class returns a set of three video frames in a tuple. - Random interval can be applied to if subfolders includes more than 6 frames. - - Args: - root (string): root directory of the dataset - rnd_interval (bool): enable random interval [1,2,3] when drawing sample frames - transform (callable, optional): a function or transform that takes in a - PIL image and returns a transformed version - split (string): split mode ('train' or 'test') - """ - - def __init__( - self, - root, - rnd_interval=False, - rnd_temp_order=False, - transform=None, - split="train", - ): - if transform is None: - raise RuntimeError("Transform must be applied") - - splitfile = Path(f"{root}/{split}.list") - splitdir = Path(f"{root}/sequences") - - if not splitfile.is_file(): - raise RuntimeError(f'Invalid file "{root}"') - - if not splitdir.is_dir(): - raise RuntimeError(f'Invalid directory "{root}"') - - with open(splitfile, "r") as f_in: - self.sample_folders = [Path(f"{splitdir}/{f.strip()}") for f in f_in] - - self.max_frames = 3 # hard coding for now - self.rnd_interval = rnd_interval - self.rnd_temp_order = rnd_temp_order - self.transform = transform - - def __getitem__(self, index): - """ - Args: - index (int): Index - - Returns: - img: `PIL.Image.Image` or transformed `PIL.Image.Image`. - """ - - sample_folder = self.sample_folders[index] - samples = sorted(f for f in sample_folder.iterdir() if f.is_file()) - - max_interval = (len(samples) + 2) // self.max_frames - interval = random.randint(1, max_interval) if self.rnd_interval else 1 - frame_paths = (samples[::interval])[: self.max_frames] - - frames = np.concatenate( - [np.asarray(Image.open(p).convert("RGB")) for p in frame_paths], axis=-1 - ) - frames = torch.chunk(self.transform(frames), self.max_frames) - - if self.rnd_temp_order: - if random.random() < 0.5: - return frames[::-1] - - return frames - - def __len__(self): - return len(self.sample_folders) diff --git a/compressai/datasets/vimeo90k.py b/compressai/datasets/vimeo90k.py deleted file mode 100644 index 770f49a..0000000 --- a/compressai/datasets/vimeo90k.py +++ /dev/null @@ -1,99 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from pathlib import Path - -from PIL import Image -from torch.utils.data import Dataset - -from compressai.registry import register_dataset - - -@register_dataset("Vimeo90kDataset") -class Vimeo90kDataset(Dataset): - """Load a Vimeo-90K structured dataset. - - Vimeo-90K dataset from - Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, William T. Freeman: - `"Video Enhancement with Task-Oriented Flow" - `_, - International Journal of Computer Vision (IJCV), 2019. - - Training and testing image samples are respectively stored in - separate directories: - - .. code-block:: - - - rootdir/ - - sequence/ - - 00001/001/im1.png - - 00001/001/im2.png - - 00001/001/im3.png - - Args: - root (string): root directory of the dataset - transform (callable, optional): a function or transform that takes in a - PIL image and returns a transformed version - split (string): split mode ('train' or 'valid') - tuplet (int): order of dataset tuplet (e.g. 3 for "triplet" dataset) - """ - - def __init__(self, root, transform=None, split="train", tuplet=3): - list_path = Path(root) / self._list_filename(split, tuplet) - - with open(list_path) as f: - self.samples = [ - f"{root}/sequences/{line.rstrip()}/im{idx}.png" - for line in f - if line.strip() != "" - for idx in range(1, tuplet + 1) - ] - - self.transform = transform - - def __getitem__(self, index): - """ - Args: - index (int): Index - - Returns: - img: `PIL.Image.Image` or transformed `PIL.Image.Image`. - """ - img = Image.open(self.samples[index]).convert("RGB") - if self.transform: - return self.transform(img) - return img - - def __len__(self): - return len(self.samples) - - def _list_filename(self, split: str, tuplet: int) -> str: - tuplet_prefix = {3: "tri", 7: "sep"}[tuplet] - list_suffix = {"train": "trainlist", "valid": "testlist"}[split] - return f"{tuplet_prefix}_{list_suffix}.txt" diff --git a/compressai/entropy_models/__init__.py b/compressai/entropy_models/__init__.py index b0a3b5b..55b53f2 100644 --- a/compressai/entropy_models/__init__.py +++ b/compressai/entropy_models/__init__.py @@ -1,36 +1,2 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .entropy_models import EntropyBottleneck, EntropyModel, GaussianConditional - -__all__ = [ - "EntropyModel", - "EntropyBottleneck", - "GaussianConditional", -] +from . import entropy_models as entropy_models +from .entropy_models import * diff --git a/compressai/entropy_models/entropy_models.py b/compressai/entropy_models/entropy_models.py index e3172ba..a0fdbab 100644 --- a/compressai/entropy_models/entropy_models.py +++ b/compressai/entropy_models/entropy_models.py @@ -1,332 +1,12 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - import math -import warnings - -from typing import Any, Callable, List, Optional, Tuple, Union +from typing import Any -import numpy as np -import scipy.stats import torch -import torch.nn as nn -import torch.nn.functional as F - -from torch import Tensor - -from compressai._CXX import pmf_to_quantized_cdf as _pmf_to_quantized_cdf -from compressai.ops import LowerBound - - -class _EntropyCoder: - """Proxy class to an actual entropy coder class.""" - - def __init__(self, method): - if not isinstance(method, str): - raise ValueError(f'Invalid method type "{type(method)}"') - - from compressai import available_entropy_coders - - if method not in available_entropy_coders(): - methods = ", ".join(available_entropy_coders()) - raise ValueError( - f'Unknown entropy coder "{method}"' f" (available: {methods})" - ) - - if method == "ans": - from compressai import ans - - encoder = ans.RansEncoder() - decoder = ans.RansDecoder() - elif method == "rangecoder": - import range_coder - - encoder = range_coder.RangeEncoder() - decoder = range_coder.RangeDecoder() - - self.name = method - self._encoder = encoder - self._decoder = decoder - - def encode_with_indexes(self, *args, **kwargs): - return self._encoder.encode_with_indexes(*args, **kwargs) - - def decode_with_indexes(self, *args, **kwargs): - return self._decoder.decode_with_indexes(*args, **kwargs) - - -def default_entropy_coder(): - from compressai import get_entropy_coder - - return get_entropy_coder() - - -def pmf_to_quantized_cdf(pmf: Tensor, precision: int = 16) -> Tensor: - cdf = _pmf_to_quantized_cdf(pmf.tolist(), precision) - cdf = torch.IntTensor(cdf) - return cdf +from compressai.entropy_models import EntropyBottleneck -def _forward(self, *args: Any) -> Any: - raise NotImplementedError() - -class EntropyModel(nn.Module): - r"""Entropy model base class. - - Args: - likelihood_bound (float): minimum likelihood bound - entropy_coder (str, optional): set the entropy coder to use, use default - one if None - entropy_coder_precision (int): set the entropy coder precision - """ - - def __init__( - self, - likelihood_bound: float = 1e-9, - entropy_coder: Optional[str] = None, - entropy_coder_precision: int = 16, - ): - super().__init__() - - if entropy_coder is None: - entropy_coder = default_entropy_coder() - self.entropy_coder = _EntropyCoder(entropy_coder) - self.entropy_coder_precision = int(entropy_coder_precision) - - self.use_likelihood_bound = likelihood_bound > 0 - if self.use_likelihood_bound: - self.likelihood_lower_bound = LowerBound(likelihood_bound) - - # to be filled on update() - self.register_buffer("_offset", torch.IntTensor()) - self.register_buffer("_quantized_cdf", torch.IntTensor()) - self.register_buffer("_cdf_length", torch.IntTensor()) - - def __getstate__(self): - attributes = self.__dict__.copy() - attributes["entropy_coder"] = self.entropy_coder.name - return attributes - - def __setstate__(self, state): - self.__dict__ = state - self.entropy_coder = _EntropyCoder(self.__dict__.pop("entropy_coder")) - - @property - def offset(self): - return self._offset - - @property - def quantized_cdf(self): - return self._quantized_cdf - - @property - def cdf_length(self): - return self._cdf_length - - # See: https://github.com/python/mypy/issues/8795 - forward: Callable[..., Any] = _forward - - def quantize( - self, inputs: Tensor, mode: str, means: Optional[Tensor] = None - ) -> Tensor: - if mode not in ("noise", "dequantize", "symbols"): - raise ValueError(f'Invalid quantization mode: "{mode}"') - - if mode == "noise": - half = float(0.5) - noise = torch.empty_like(inputs).uniform_(-half, half) - inputs = inputs + noise - return inputs - - outputs = inputs.clone() - if means is not None: - outputs -= means - - outputs = torch.round(outputs) - - if mode == "dequantize": - if means is not None: - outputs += means - return outputs - - assert mode == "symbols", mode - outputs = outputs.int() - return outputs - - def _quantize( - self, inputs: Tensor, mode: str, means: Optional[Tensor] = None - ) -> Tensor: - warnings.warn("_quantize is deprecated. Use quantize instead.", stacklevel=2) - return self.quantize(inputs, mode, means) - - @staticmethod - def dequantize( - inputs: Tensor, means: Optional[Tensor] = None, dtype: torch.dtype = torch.float - ) -> Tensor: - if means is not None: - outputs = inputs.type_as(means) - outputs += means - else: - outputs = inputs.type(dtype) - return outputs - - @classmethod - def _dequantize(cls, inputs: Tensor, means: Optional[Tensor] = None) -> Tensor: - warnings.warn("_dequantize. Use dequantize instead.", stacklevel=2) - return cls.dequantize(inputs, means) - - def _pmf_to_cdf(self, pmf, tail_mass, pmf_length, max_length): - cdf = torch.zeros( - (len(pmf_length), max_length + 2), dtype=torch.int32, device=pmf.device - ) - for i, p in enumerate(pmf): - prob = torch.cat((p[: pmf_length[i]], tail_mass[i]), dim=0) - _cdf = pmf_to_quantized_cdf(prob, self.entropy_coder_precision) - cdf[i, : _cdf.size(0)] = _cdf - return cdf - - def _check_cdf_size(self): - if self._quantized_cdf.numel() == 0: - raise ValueError("Uninitialized CDFs. Run update() first") - - if len(self._quantized_cdf.size()) != 2: - raise ValueError(f"Invalid CDF size {self._quantized_cdf.size()}") - - def _check_offsets_size(self): - if self._offset.numel() == 0: - raise ValueError("Uninitialized offsets. Run update() first") - - if len(self._offset.size()) != 1: - raise ValueError(f"Invalid offsets size {self._offset.size()}") - - def _check_cdf_length(self): - if self._cdf_length.numel() == 0: - raise ValueError("Uninitialized CDF lengths. Run update() first") - - if len(self._cdf_length.size()) != 1: - raise ValueError(f"Invalid offsets size {self._cdf_length.size()}") - - def compress(self, inputs, indexes, means=None): - """ - Compress input tensors to char strings. - - Args: - inputs (torch.Tensor): input tensors - indexes (torch.IntTensor): tensors CDF indexes - means (torch.Tensor, optional): optional tensor means - """ - symbols = self.quantize(inputs, "symbols", means) - - if len(inputs.size()) < 2: - raise ValueError( - "Invalid `inputs` size. Expected a tensor with at least 2 dimensions." - ) - - if inputs.size() != indexes.size(): - raise ValueError("`inputs` and `indexes` should have the same size.") - - self._check_cdf_size() - self._check_cdf_length() - self._check_offsets_size() - - strings = [] - for i in range(symbols.size(0)): - rv = self.entropy_coder.encode_with_indexes( - symbols[i].reshape(-1).int().tolist(), - indexes[i].reshape(-1).int().tolist(), - self._quantized_cdf.tolist(), - self._cdf_length.reshape(-1).int().tolist(), - self._offset.reshape(-1).int().tolist(), - ) - strings.append(rv) - return strings - - def decompress( - self, - strings: str, - indexes: torch.IntTensor, - dtype: torch.dtype = torch.float, - means: torch.Tensor = None, - ): - """ - Decompress char strings to tensors. - - Args: - strings (str): compressed tensors - indexes (torch.IntTensor): tensors CDF indexes - dtype (torch.dtype): type of dequantized output - means (torch.Tensor, optional): optional tensor means - """ - - if not isinstance(strings, (tuple, list)): - raise ValueError("Invalid `strings` parameter type.") - - if not len(strings) == indexes.size(0): - raise ValueError("Invalid strings or indexes parameters") - - if len(indexes.size()) < 2: - raise ValueError( - "Invalid `indexes` size. Expected a tensor with at least 2 dimensions." - ) - - self._check_cdf_size() - self._check_cdf_length() - self._check_offsets_size() - - if means is not None: - if means.size()[:2] != indexes.size()[:2]: - raise ValueError("Invalid means or indexes parameters") - if means.size() != indexes.size(): - for i in range(2, len(indexes.size())): - if means.size(i) != 1: - raise ValueError("Invalid means parameters") - - cdf = self._quantized_cdf - outputs = cdf.new_empty(indexes.size()) - - for i, s in enumerate(strings): - values = self.entropy_coder.decode_with_indexes( - s, - indexes[i].reshape(-1).int().tolist(), - cdf.tolist(), - self._cdf_length.reshape(-1).int().tolist(), - self._offset.reshape(-1).int().tolist(), - ) - outputs[i] = torch.tensor( - values, device=outputs.device, dtype=outputs.dtype - ).reshape(outputs[i].size()) - outputs = self.dequantize(outputs, means, dtype) - return outputs - - -class EntropyBottleneck(EntropyModel): +class EntropyBottleneckExteneded(EntropyBottleneck): r"""Entropy bottleneck layer, introduced by J. Ballé, D. Minnen, S. Singh, S. J. Hwang, N. Johnston, in `"Variational image compression with a scale hyperprior" `_. @@ -338,55 +18,9 @@ class EntropyBottleneck(EntropyModel): for an introduction. """ - _offset: Tensor - - def __init__( - self, - channels: int, - *args: Any, - tail_mass: float = 1e-9, - init_scale: float = 10, - filters: Tuple[int, ...] = (3, 3, 3, 3), - **kwargs: Any, - ): + def __init__(self, *args: Any, **kwargs: Any): super().__init__(*args, **kwargs) - self.channels = int(channels) - self.filters = tuple(int(f) for f in filters) - self.init_scale = float(init_scale) - self.tail_mass = float(tail_mass) - - # Create parameters - filters = (1,) + self.filters + (1,) - scale = self.init_scale ** (1 / (len(self.filters) + 1)) - channels = self.channels - - for i in range(len(self.filters) + 1): - init = np.log(np.expm1(1 / scale / filters[i + 1])) - matrix = torch.Tensor(channels, filters[i + 1], filters[i]) - matrix.data.fill_(init) - self.register_parameter(f"_matrix{i:d}", nn.Parameter(matrix)) - - bias = torch.Tensor(channels, filters[i + 1], 1) - nn.init.uniform_(bias, -0.5, 0.5) - self.register_parameter(f"_bias{i:d}", nn.Parameter(bias)) - - if i < len(self.filters): - factor = torch.Tensor(channels, filters[i + 1], 1) - nn.init.zeros_(factor) - self.register_parameter(f"_factor{i:d}", nn.Parameter(factor)) - - self.quantiles = nn.Parameter(torch.Tensor(channels, 1, 3)) - init = torch.Tensor([-self.init_scale, 0, self.init_scale]) - self.quantiles.data = init.repeat(self.quantiles.size(0), 1, 1) - - target = np.log(2 / self.tail_mass - 1) - self.register_buffer("target", torch.Tensor([-target, 0, target])) - - def _get_medians(self) -> Tensor: - medians = self.quantiles[:, :, 1:2] - return medians - def update(self, force: bool = False) -> bool: # Check if we need to update the bottleneck parameters, the offsets are # only computed and stored when the conditonal model is update()'d. @@ -424,106 +58,6 @@ def update(self, force: bool = False) -> bool: self._cdf_length = pmf_length + 2 return True - def loss(self) -> Tensor: - logits = self._logits_cumulative(self.quantiles, stop_gradient=True) - loss = torch.abs(logits - self.target).sum() - return loss - - def _logits_cumulative(self, inputs: Tensor, stop_gradient: bool) -> Tensor: - # TorchScript not yet working (nn.Mmodule indexing not supported) - logits = inputs - for i in range(len(self.filters) + 1): - matrix = getattr(self, f"_matrix{i:d}") - if stop_gradient: - matrix = matrix.detach() - logits = torch.matmul(F.softplus(matrix), logits) - - bias = getattr(self, f"_bias{i:d}") - if stop_gradient: - bias = bias.detach() - logits += bias - - if i < len(self.filters): - factor = getattr(self, f"_factor{i:d}") - if stop_gradient: - factor = factor.detach() - logits += torch.tanh(factor) * torch.tanh(logits) - return logits - - @torch.jit.unused - def _likelihood( - self, inputs: Tensor, stop_gradient: bool = False - ) -> Tuple[Tensor, Tensor, Tensor]: - half = float(0.5) - lower = self._logits_cumulative(inputs - half, stop_gradient=stop_gradient) - upper = self._logits_cumulative(inputs + half, stop_gradient=stop_gradient) - likelihood = torch.sigmoid(upper) - torch.sigmoid(lower) - return likelihood, lower, upper - - def forward( - self, x: Tensor, training: Optional[bool] = None - ) -> Tuple[Tensor, Tensor]: - if training is None: - training = self.training - - if not torch.jit.is_scripting(): - # x from B x C x ... to C x B x ... - perm = np.arange(len(x.shape)) - perm[0], perm[1] = perm[1], perm[0] - # Compute inverse permutation - inv_perm = np.arange(len(x.shape))[np.argsort(perm)] - else: - raise NotImplementedError() - # TorchScript in 2D for static inference - # Convert to (channels, ... , batch) format - # perm = (1, 2, 3, 0) - # inv_perm = (3, 0, 1, 2) - - x = x.permute(*perm).contiguous() - shape = x.size() - values = x.reshape(x.size(0), 1, -1) - - # Add noise or quantize - - outputs = self.quantize( - values, "noise" if training else "dequantize", self._get_medians() - ) - - if not torch.jit.is_scripting(): - likelihood, _, _ = self._likelihood(outputs) - if self.use_likelihood_bound: - likelihood = self.likelihood_lower_bound(likelihood) - else: - raise NotImplementedError() - # TorchScript not yet supported - # likelihood = torch.zeros_like(outputs) - - # Convert back to input tensor shape - outputs = outputs.reshape(shape) - outputs = outputs.permute(*inv_perm).contiguous() - - likelihood = likelihood.reshape(shape) - likelihood = likelihood.permute(*inv_perm).contiguous() - - return outputs, likelihood - - @staticmethod - def _build_indexes(size): - dims = len(size) - N = size[0] - C = size[1] - - view_dims = np.ones((dims,), dtype=np.int64) - view_dims[1] = -1 - indexes = torch.arange(C).view(*view_dims) - indexes = indexes.int() - - return indexes.repeat(N, 1, *size[2:]) - - @staticmethod - def _extend_ndims(tensor, n): - return tensor.reshape(-1, *([1] * n)) if n > 0 else tensor.reshape(-1) - @torch.no_grad() def _update_quantiles(self, search_radius=1e4, rtol=1e-4, atol=1e-3): device = self.quantiles.device @@ -553,161 +87,12 @@ def _search_target(f, target, low, high, rtol=1e-4, atol=1e-3, strict=False): high = torch.where(f_mid >= target, mid, high) return (low + high) / 2 - def compress(self, x): - indexes = self._build_indexes(x.size()) - medians = self._get_medians().detach() - spatial_dims = len(x.size()) - 2 - medians = self._extend_ndims(medians, spatial_dims) - medians = medians.expand(x.size(0), *([-1] * (spatial_dims + 1))) - return super().compress(x, indexes, medians) - - def decompress(self, strings, size): - output_size = (len(strings), self._quantized_cdf.size(0), *size) - indexes = self._build_indexes(output_size).to(self._quantized_cdf.device) - medians = self._extend_ndims(self._get_medians().detach(), len(size)) - medians = medians.expand(len(strings), *([-1] * (len(size) + 1))) - return super().decompress(strings, indexes, medians.dtype, medians) - - -class GaussianConditional(EntropyModel): - r"""Gaussian conditional layer, introduced by J. Ballé, D. Minnen, S. Singh, - S. J. Hwang, N. Johnston, in `"Variational image compression with a scale - hyperprior" `_. - - This is a re-implementation of the Gaussian conditional layer in - *tensorflow/compression*. See the `tensorflow documentation - `__ - for more information. - """ - - def __init__( - self, - scale_table: Optional[Union[List, Tuple]], - *args: Any, - scale_bound: float = 0.11, - tail_mass: float = 1e-9, - **kwargs: Any, - ): - super().__init__(*args, **kwargs) - - if not isinstance(scale_table, (type(None), list, tuple)): - raise ValueError(f'Invalid type for scale_table "{type(scale_table)}"') - - if isinstance(scale_table, (list, tuple)) and len(scale_table) < 1: - raise ValueError(f'Invalid scale_table length "{len(scale_table)}"') - if scale_table and ( - scale_table != sorted(scale_table) or any(s <= 0 for s in scale_table) - ): - raise ValueError(f'Invalid scale_table "({scale_table})"') - - self.tail_mass = float(tail_mass) - if scale_bound is None and scale_table: - scale_bound = self.scale_table[0] - if scale_bound <= 0: - raise ValueError("Invalid parameters") - self.lower_bound_scale = LowerBound(scale_bound) - - self.register_buffer( - "scale_table", - self._prepare_scale_table(scale_table) if scale_table else torch.Tensor(), - ) - - self.register_buffer( - "scale_bound", - torch.Tensor([float(scale_bound)]) if scale_bound is not None else None, - ) - - @staticmethod - def _prepare_scale_table(scale_table): - return torch.Tensor(tuple(float(s) for s in scale_table)) - - def _standardized_cumulative(self, inputs: Tensor) -> Tensor: - half = float(0.5) - const = float(-(2**-0.5)) - # Using the complementary error function maximizes numerical precision. - return half * torch.erfc(const * inputs) - - @staticmethod - def _standardized_quantile(quantile): - return scipy.stats.norm.ppf(quantile) - - def update_scale_table(self, scale_table, force=False): - # Check if we need to update the gaussian conditional parameters, the - # offsets are only computed and stored when the conditonal model is - # updated. - if self._offset.numel() > 0 and not force: - return False - device = self.scale_table.device - self.scale_table = self._prepare_scale_table(scale_table).to(device) - self.update() - return True - - def update(self): - multiplier = -self._standardized_quantile(self.tail_mass / 2) - pmf_center = torch.ceil(self.scale_table * multiplier).int() - pmf_length = 2 * pmf_center + 1 - max_length = torch.max(pmf_length).item() - - device = pmf_center.device - samples = torch.abs( - torch.arange(max_length, device=device).int() - pmf_center[:, None] - ) - samples_scale = self.scale_table.unsqueeze(1) - samples = samples.float() - samples_scale = samples_scale.float() - upper = self._standardized_cumulative((0.5 - samples) / samples_scale) - lower = self._standardized_cumulative((-0.5 - samples) / samples_scale) - pmf = upper - lower - - tail_mass = 2 * lower[:, :1] - - quantized_cdf = torch.Tensor(len(pmf_length), max_length + 2) - quantized_cdf = self._pmf_to_cdf(pmf, tail_mass, pmf_length, max_length) - self._quantized_cdf = quantized_cdf - self._offset = -pmf_center - self._cdf_length = pmf_length + 2 - - def _likelihood( - self, inputs: Tensor, scales: Tensor, means: Optional[Tensor] = None - ) -> Tensor: - half = float(0.5) - - if means is not None: - values = inputs - means - else: - values = inputs - - scales = self.lower_bound_scale(scales) - - values = torch.abs(values) - upper = self._standardized_cumulative((half - values) / scales) - lower = self._standardized_cumulative((-half - values) / scales) - likelihood = upper - lower - - return likelihood - - def forward( - self, - inputs: Tensor, - scales: Tensor, - means: Optional[Tensor] = None, - training: Optional[bool] = None, - ) -> Tuple[Tensor, Tensor]: - if training is None: - training = self.training - outputs = self.quantize(inputs, "noise" if training else "dequantize", means) - likelihood = self._likelihood(outputs, scales, means) - if self.use_likelihood_bound: - likelihood = self.likelihood_lower_bound(likelihood) - return outputs, likelihood - - def build_indexes(self, scales: Tensor) -> Tensor: - scales = self.lower_bound_scale(scales) - indexes = scales.new_full(scales.size(), len(self.scale_table) - 1).int() - for s in self.scale_table[:-1]: - indexes -= (scales <= s).int() - return indexes +EntropyBottleneck.update = EntropyBottleneckExteneded.update +EntropyBottleneck._update_quantiles = EntropyBottleneckExteneded._update_quantiles +EntropyBottleneck._search_target = staticmethod( + EntropyBottleneckExteneded._search_target +) @torch.no_grad() diff --git a/compressai/latent_codecs/__init__.py b/compressai/latent_codecs/__init__.py index 90e3915..1f091ea 100644 --- a/compressai/latent_codecs/__init__.py +++ b/compressai/latent_codecs/__init__.py @@ -1,47 +1 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .base import LatentCodec from .entropy_bottleneck import EntropyBottleneckLatentCodec -from .gain import GainHyperLatentCodec, GainHyperpriorLatentCodec -from .gaussian_conditional import GaussianConditionalLatentCodec -from .hyper import HyperLatentCodec -from .hyperprior import HyperpriorLatentCodec -from .rasterscan import RasterScanLatentCodec - -__all__ = [ - "LatentCodec", - "EntropyBottleneckLatentCodec", - "GainHyperLatentCodec", - "GainHyperpriorLatentCodec", - "GaussianConditionalLatentCodec", - "HyperLatentCodec", - "HyperpriorLatentCodec", - "RasterScanLatentCodec", -] diff --git a/compressai/latent_codecs/base.py b/compressai/latent_codecs/base.py deleted file mode 100644 index ab6b920..0000000 --- a/compressai/latent_codecs/base.py +++ /dev/null @@ -1,89 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Any, Dict, List - -import torch.nn as nn - -from torch import Tensor - -__all__ = [ - "LatentCodec", -] - - -class _SetDefaultMixin: - """Convenience functions for initializing classes with defaults.""" - - def _setdefault(self, k, v, f): - """Initialize attribute ``k`` with value ``v`` or ``f()``.""" - v = v or f() - setattr(self, k, v) - - # TODO instead of save_direct, override load_state_dict() and state_dict() - def _set_group_defaults(self, group_key, group_dict, defaults, save_direct=False): - """Initialize attribute ``group_key`` with items from - ``group_dict``, using defaults for missing keys. - Ensures ``nn.Module`` attributes are properly registered. - - Args: - - group_key: - Name of attribute. - - group_dict: - Dict of items to initialize ``group_key`` with. - - defaults: - Dict of defaults for items not in ``group_dict``. - - save_direct: - If ``True``, save items directly as attributes of ``self``. - If ``False``, save items in a ``nn.ModuleDict``. - """ - group_dict = group_dict if group_dict is not None else {} - for k, f in defaults.items(): - if k in group_dict: - continue - group_dict[k] = f() - if save_direct: - for k, v in group_dict.items(): - setattr(self, k, v) - else: - group_dict = nn.ModuleDict(group_dict) - setattr(self, group_key, group_dict) - - -class LatentCodec(nn.Module, _SetDefaultMixin): - def forward(self, y: Tensor, *args, **kwargs) -> Dict[str, Any]: - raise NotImplementedError - - def compress(self, y: Tensor, *args, **kwargs) -> Dict[str, Any]: - raise NotImplementedError - - def decompress( - self, strings: List[List[bytes]], shape: Any, *args, **kwargs - ) -> Dict[str, Any]: - raise NotImplementedError diff --git a/compressai/latent_codecs/entropy_bottleneck.py b/compressai/latent_codecs/entropy_bottleneck.py index 082c58e..4376903 100644 --- a/compressai/latent_codecs/entropy_bottleneck.py +++ b/compressai/latent_codecs/entropy_bottleneck.py @@ -31,14 +31,12 @@ from torch import Tensor +import compressai.latent_codecs.entropy_bottleneck from compressai.entropy_models import EntropyBottleneck +from compressai.latent_codecs.base import LatentCodec from compressai.registry import register_module -from .base import LatentCodec - -__all__ = [ - "EntropyBottleneckLatentCodec", -] +# NOTE: The only modification is the addition of `dims`. @register_module("EntropyBottleneckLatentCodec") @@ -87,3 +85,8 @@ def decompress( (y_strings,) = strings y_hat = self.entropy_bottleneck.decompress(y_strings, shape) return {"y_hat": y_hat} + + +compressai.latent_codecs.entropy_bottleneck.EntropyBottleneckLatentCodec = ( + EntropyBottleneckLatentCodec +) diff --git a/compressai/latent_codecs/gain/__init__.py b/compressai/latent_codecs/gain/__init__.py deleted file mode 100644 index d5c5ec8..0000000 --- a/compressai/latent_codecs/gain/__init__.py +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .hyper import GainHyperLatentCodec -from .hyperprior import GainHyperpriorLatentCodec - -__all__ = [ - "GainHyperLatentCodec", - "GainHyperpriorLatentCodec", -] diff --git a/compressai/latent_codecs/gain/hyper.py b/compressai/latent_codecs/gain/hyper.py deleted file mode 100644 index 7f74a1e..0000000 --- a/compressai/latent_codecs/gain/hyper.py +++ /dev/null @@ -1,111 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Any, Dict, List, Optional, Tuple - -import torch.nn as nn - -from torch import Tensor - -from compressai.entropy_models import EntropyBottleneck -from compressai.registry import register_module - -from ..base import LatentCodec - -__all__ = [ - "GainHyperLatentCodec", -] - - -@register_module("GainHyperLatentCodec") -class GainHyperLatentCodec(LatentCodec): - """Entropy bottleneck codec with surrounding `h_a` and `h_s` transforms. - - Gain-controlled side branch for hyperprior introduced in - `"Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation" - `_, by Ze Cui, Jing Wang, - Shangyin Gao, Bo Bai, Tiansheng Guo, and Yihui Feng, CVPR, 2021. - - .. note:: ``GainHyperLatentCodec`` should be used inside - ``GainHyperpriorLatentCodec`` to construct a full hyperprior. - - .. code-block:: none - - gain gain_inv - │ │ - ▼ ▼ - ┌───┐ z │ ┌───┐ z_hat z_hat │ ┌───┐ - y ──►──┤h_a├──►──×──►──┤ Q ├───►───····───►────×────►──┤h_s├──►── params - └───┘ └───┘ EB └───┘ - - """ - - entropy_bottleneck: EntropyBottleneck - h_a: nn.Module - h_s: nn.Module - - def __init__( - self, - entropy_bottleneck: Optional[EntropyBottleneck] = None, - h_a: Optional[nn.Module] = None, - h_s: Optional[nn.Module] = None, - **kwargs, - ): - super().__init__() - assert entropy_bottleneck is not None - self.entropy_bottleneck = entropy_bottleneck - self.h_a = h_a or nn.Identity() - self.h_s = h_s or nn.Identity() - - def forward(self, y: Tensor, gain: Tensor, gain_inv: Tensor) -> Dict[str, Any]: - z = self.h_a(y) - z = z * gain - z_hat, z_likelihoods = self.entropy_bottleneck(z) - z_hat = z_hat * gain_inv - params = self.h_s(z_hat) - return {"likelihoods": {"z": z_likelihoods}, "params": params} - - def compress(self, y: Tensor, gain: Tensor, gain_inv: Tensor) -> Dict[str, Any]: - z = self.h_a(y) - z = z * gain - shape = z.size()[-2:] - z_strings = self.entropy_bottleneck.compress(z) - z_hat = self.entropy_bottleneck.decompress(z_strings, shape) - z_hat = z_hat * gain_inv - params = self.h_s(z_hat) - return {"strings": [z_strings], "shape": shape, "params": params} - - def decompress( - self, strings: List[List[bytes]], shape: Tuple[int, int], gain_inv: Tensor - ) -> Dict[str, Any]: - (z_strings,) = strings - z_hat = self.entropy_bottleneck.decompress(z_strings, shape) - z_hat = z_hat * gain_inv - params = self.h_s(z_hat) - return {"params": params} diff --git a/compressai/latent_codecs/gain/hyperprior.py b/compressai/latent_codecs/gain/hyperprior.py deleted file mode 100644 index 5d7b4ab..0000000 --- a/compressai/latent_codecs/gain/hyperprior.py +++ /dev/null @@ -1,165 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Any, Dict, List, Mapping, Optional, Tuple - -from torch import Tensor - -from compressai.registry import register_module - -from ..base import LatentCodec -from ..gaussian_conditional import GaussianConditionalLatentCodec -from .hyper import GainHyperLatentCodec - -__all__ = [ - "GainHyperpriorLatentCodec", -] - - -@register_module("GainHyperpriorLatentCodec") -class GainHyperpriorLatentCodec(LatentCodec): - """Hyperprior codec constructed from latent codec for ``y`` that - compresses ``y`` using ``params`` from ``hyper`` branch. - - Gain-controlled hyperprior introduced in - `"Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation" - `_, by Ze Cui, Jing Wang, - Shangyin Gao, Bo Bai, Tiansheng Guo, and Yihui Feng, CVPR, 2021. - - .. code-block:: none - - z_gain z_gain_inv - │ │ - ▼ ▼ - ┌┴────────┴┐ - ┌──►──┤ lc_hyper ├──►─┐ - │ └──────────┘ │ - │ │ - │ y_gain ▼ params y_gain_inv - │ │ │ │ - │ ▼ │ ▼ - │ │ ┌──┴───┐ │ - y ──┴────►───×───►─────┤ lc_y ├────►─────×─────►── y_hat - └──────┘ - - By default, the following codec is constructed: - - .. code-block:: none - - z_gain z_gain_inv - │ │ - ▼ ▼ - ┌───┐ z │ z_g ┌───┐ z_hat z_hat │ ┌───┐ - ┌─►──┤h_a├──►──×──►──┤ Q ├───►───····───►────×────►──┤h_s├──┐ - │ └───┘ └───┘ EB └───┘ │ - │ │ - │ ┌──────────────◄─────────────┘ - │ │ params - │ ┌──┴──┐ - │ y_gain │ EP │ y_gain_inv - │ │ └──┬──┘ │ - │ ▼ │ ▼ - │ │ ┌───┐ ▼ │ - y ──┴───►───×───►───┤ Q ├────►────····───►─────×─────►── y_hat - └───┘ GC - - Common configurations of latent codecs include: - - entropy bottleneck ``hyper`` (default) and gaussian conditional ``y`` (default) - - entropy bottleneck ``hyper`` (default) and autoregressive ``y`` - """ - - latent_codec: Mapping[str, LatentCodec] - - def __init__( - self, latent_codec: Optional[Mapping[str, LatentCodec]] = None, **kwargs - ): - super().__init__() - self._set_group_defaults( - "latent_codec", - latent_codec, - defaults={ - "y": GaussianConditionalLatentCodec, - "hyper": GainHyperLatentCodec, - }, - save_direct=True, - ) - - def forward( - self, - y: Tensor, - y_gain: Tensor, - z_gain: Tensor, - y_gain_inv: Tensor, - z_gain_inv: Tensor, - ) -> Dict[str, Any]: - hyper_out = self.latent_codec["hyper"](y, z_gain, z_gain_inv) - y_out = self.latent_codec["y"](y * y_gain, hyper_out["params"]) - y_hat = y_out["y_hat"] * y_gain_inv - return { - "likelihoods": { - "y": y_out["likelihoods"]["y"], - "z": hyper_out["likelihoods"]["z"], - }, - "y_hat": y_hat, - } - - def compress( - self, - y: Tensor, - y_gain: Tensor, - z_gain: Tensor, - y_gain_inv: Tensor, - z_gain_inv: Tensor, - ) -> Dict[str, Any]: - hyper_out = self.latent_codec["hyper"].compress(y, z_gain, z_gain_inv) - y_out = self.latent_codec["y"].compress(y * y_gain, hyper_out["params"]) - y_hat = y_out["y_hat"] * y_gain_inv - return { - "strings": [*y_out["strings"], *hyper_out["strings"]], - "shape": {"y": y_out["shape"], "hyper": hyper_out["shape"]}, - "y_hat": y_hat, - } - - def decompress( - self, - strings: List[List[bytes]], - shape: Dict[str, Tuple[int, ...]], - y_gain_inv: Tensor, - z_gain_inv: Tensor, - ) -> Dict[str, Any]: - *y_strings_, z_strings = strings - assert all(len(y_strings) == len(z_strings) for y_strings in y_strings_) - hyper_out = self.latent_codec["hyper"].decompress( - [z_strings], shape["hyper"], z_gain_inv - ) - y_out = self.latent_codec["y"].decompress( - y_strings_, shape["y"], hyper_out["params"] - ) - y_hat = y_out["y_hat"] * y_gain_inv - return {"y_hat": y_hat} diff --git a/compressai/latent_codecs/gaussian_conditional.py b/compressai/latent_codecs/gaussian_conditional.py deleted file mode 100644 index cbd6a11..0000000 --- a/compressai/latent_codecs/gaussian_conditional.py +++ /dev/null @@ -1,126 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Any, Dict, List, Optional, Tuple, Union - -import torch.nn as nn - -from torch import Tensor - -from compressai.entropy_models import GaussianConditional -from compressai.ops import quantize_ste -from compressai.registry import register_module - -from .base import LatentCodec - -__all__ = [ - "GaussianConditionalLatentCodec", -] - - -@register_module("GaussianConditionalLatentCodec") -class GaussianConditionalLatentCodec(LatentCodec): - """Gaussian conditional for compressing latent ``y`` using ``ctx_params``. - - Probability model for Gaussian of ``(scales, means)``. - - Gaussian conditonal entropy model introduced in - `"Variational Image Compression with a Scale Hyperprior" - `_, - by J. Balle, D. Minnen, S. Singh, S.J. Hwang, and N. Johnston, - International Conference on Learning Representations (ICLR), 2018. - - .. note:: Unlike the original paper, which models only the scale - (i.e. "width") of the Gaussian, this implementation models both - the scale and the mean (i.e. "center") of the Gaussian. - - .. code-block:: none - - ctx_params - │ - ▼ - │ - ┌──┴──┐ - │ EP │ - └──┬──┘ - │ - ┌───┐ y_hat ▼ - y ──►──┤ Q ├────►────····──►── y_hat - └───┘ GC - - """ - - gaussian_conditional: GaussianConditional - entropy_parameters: nn.Module - - def __init__( - self, - scale_table: Optional[Union[List, Tuple]] = None, - gaussian_conditional: Optional[GaussianConditional] = None, - entropy_parameters: Optional[nn.Module] = None, - quantizer: str = "noise", - **kwargs, - ): - super().__init__() - self.quantizer = quantizer - self.gaussian_conditional = gaussian_conditional or GaussianConditional( - scale_table, **kwargs - ) - self.entropy_parameters = entropy_parameters or nn.Identity() - - def forward(self, y: Tensor, ctx_params: Tensor) -> Dict[str, Any]: - gaussian_params = self.entropy_parameters(ctx_params) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - y_hat, y_likelihoods = self.gaussian_conditional(y, scales_hat, means=means_hat) - if self.quantizer == "ste": - y_hat = quantize_ste(y - means_hat) + means_hat - return {"likelihoods": {"y": y_likelihoods}, "y_hat": y_hat} - - def compress(self, y: Tensor, ctx_params: Tensor) -> Dict[str, Any]: - gaussian_params = self.entropy_parameters(ctx_params) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - indexes = self.gaussian_conditional.build_indexes(scales_hat) - y_strings = self.gaussian_conditional.compress(y, indexes, means_hat) - y_hat = self.gaussian_conditional.decompress( - y_strings, indexes, means=means_hat - ) - return {"strings": [y_strings], "shape": y.shape[2:4], "y_hat": y_hat} - - def decompress( - self, strings: List[List[bytes]], shape: Tuple[int, int], ctx_params: Tensor - ) -> Dict[str, Any]: - (y_strings,) = strings - gaussian_params = self.entropy_parameters(ctx_params) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - indexes = self.gaussian_conditional.build_indexes(scales_hat) - y_hat = self.gaussian_conditional.decompress( - y_strings, indexes, means=means_hat - ) - assert y_hat.shape[2:4] == shape - return {"y_hat": y_hat} diff --git a/compressai/latent_codecs/hyper.py b/compressai/latent_codecs/hyper.py deleted file mode 100644 index 02c8668..0000000 --- a/compressai/latent_codecs/hyper.py +++ /dev/null @@ -1,104 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Any, Dict, List, Optional, Tuple - -import torch.nn as nn - -from torch import Tensor - -from compressai.entropy_models import EntropyBottleneck -from compressai.registry import register_module - -from .base import LatentCodec - -__all__ = [ - "HyperLatentCodec", -] - - -@register_module("HyperLatentCodec") -class HyperLatentCodec(LatentCodec): - """Entropy bottleneck codec with surrounding `h_a` and `h_s` transforms. - - "Hyper" side-information branch introduced in - `"Variational Image Compression with a Scale Hyperprior" - `_, - by J. Balle, D. Minnen, S. Singh, S.J. Hwang, and N. Johnston, - International Conference on Learning Representations (ICLR), 2018. - - .. note:: ``HyperLatentCodec`` should be used inside - ``HyperpriorLatentCodec`` to construct a full hyperprior. - - .. code-block:: none - - ┌───┐ z ┌───┐ z_hat z_hat ┌───┐ - y ──►──┤h_a├──►──┤ Q ├───►───····───►───┤h_s├──►── params - └───┘ └───┘ EB └───┘ - - """ - - entropy_bottleneck: EntropyBottleneck - h_a: nn.Module - h_s: nn.Module - - def __init__( - self, - entropy_bottleneck: Optional[EntropyBottleneck] = None, - h_a: Optional[nn.Module] = None, - h_s: Optional[nn.Module] = None, - **kwargs, - ): - super().__init__() - assert entropy_bottleneck is not None - self.entropy_bottleneck = entropy_bottleneck - self.h_a = h_a or nn.Identity() - self.h_s = h_s or nn.Identity() - - def forward(self, y: Tensor) -> Dict[str, Any]: - z = self.h_a(y) - z_hat, z_likelihoods = self.entropy_bottleneck(z) - params = self.h_s(z_hat) - return {"likelihoods": {"z": z_likelihoods}, "params": params} - - def compress(self, y: Tensor) -> Dict[str, Any]: - z = self.h_a(y) - shape = z.size()[-2:] - z_strings = self.entropy_bottleneck.compress(z) - z_hat = self.entropy_bottleneck.decompress(z_strings, shape) - params = self.h_s(z_hat) - return {"strings": [z_strings], "shape": shape, "params": params} - - def decompress( - self, strings: List[List[bytes]], shape: Tuple[int, int] - ) -> Dict[str, Any]: - (z_strings,) = strings - z_hat = self.entropy_bottleneck.decompress(z_strings, shape) - params = self.h_s(z_hat) - return {"params": params} diff --git a/compressai/latent_codecs/hyperprior.py b/compressai/latent_codecs/hyperprior.py deleted file mode 100644 index 3a2db19..0000000 --- a/compressai/latent_codecs/hyperprior.py +++ /dev/null @@ -1,136 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Any, Dict, List, Mapping, Optional, Tuple - -from torch import Tensor - -from compressai.registry import register_module - -from .base import LatentCodec -from .gaussian_conditional import GaussianConditionalLatentCodec -from .hyper import HyperLatentCodec - -__all__ = [ - "HyperpriorLatentCodec", -] - - -@register_module("HyperpriorLatentCodec") -class HyperpriorLatentCodec(LatentCodec): - """Hyperprior codec constructed from latent codec for ``y`` that - compresses ``y`` using ``params`` from ``hyper`` branch. - - Hyperprior entropy modeling introduced in - `"Variational Image Compression with a Scale Hyperprior" - `_, - by J. Balle, D. Minnen, S. Singh, S.J. Hwang, and N. Johnston, - International Conference on Learning Representations (ICLR), 2018. - - .. code-block:: none - - ┌──────────┐ - ┌─►──┤ lc_hyper ├──►─┐ - │ └──────────┘ │ - │ ▼ params - │ │ - │ ┌──┴───┐ - y ──┴───────►─────────┤ lc_y ├───►── y_hat - └──────┘ - - By default, the following codec is constructed: - - .. code-block:: none - - ┌───┐ z ┌───┐ z_hat z_hat ┌───┐ - ┌─►──┤h_a├──►──┤ Q ├───►───····───►───┤h_s├──►─┐ - │ └───┘ └───┘ EB └───┘ │ - │ │ - │ ┌──────────────◄────────────┘ - │ │ params - │ ┌──┴──┐ - │ │ EP │ - │ └──┬──┘ - │ │ - │ ┌───┐ y_hat ▼ - y ──┴─►─┤ Q ├────►────····────►── y_hat - └───┘ GC - - Common configurations of latent codecs include: - - entropy bottleneck ``hyper`` (default) and gaussian conditional ``y`` (default) - - entropy bottleneck ``hyper`` (default) and autoregressive ``y`` - """ - - latent_codec: Mapping[str, LatentCodec] - - def __init__( - self, latent_codec: Optional[Mapping[str, LatentCodec]] = None, **kwargs - ): - super().__init__() - self._set_group_defaults( - "latent_codec", - latent_codec, - defaults={ - "y": GaussianConditionalLatentCodec, - "hyper": HyperLatentCodec, - }, - save_direct=True, - ) - - def forward(self, y: Tensor) -> Dict[str, Any]: - hyper_out = self.latent_codec["hyper"](y) - y_out = self.latent_codec["y"](y, hyper_out["params"]) - return { - "likelihoods": { - "y": y_out["likelihoods"]["y"], - "z": hyper_out["likelihoods"]["z"], - }, - "y_hat": y_out["y_hat"], - } - - def compress(self, y: Tensor) -> Dict[str, Any]: - hyper_out = self.latent_codec["hyper"].compress(y) - y_out = self.latent_codec["y"].compress(y, hyper_out["params"]) - [z_strings] = hyper_out["strings"] - return { - "strings": [*y_out["strings"], z_strings], - "shape": {"y": y_out["shape"], "hyper": hyper_out["shape"]}, - "y_hat": y_out["y_hat"], - } - - def decompress( - self, strings: List[List[bytes]], shape: Dict[str, Tuple[int, ...]] - ) -> Dict[str, Any]: - *y_strings_, z_strings = strings - assert all(len(y_strings) == len(z_strings) for y_strings in y_strings_) - hyper_out = self.latent_codec["hyper"].decompress([z_strings], shape["hyper"]) - y_out = self.latent_codec["y"].decompress( - y_strings_, shape["y"], hyper_out["params"] - ) - return {"y_hat": y_out["y_hat"]} diff --git a/compressai/latent_codecs/rasterscan.py b/compressai/latent_codecs/rasterscan.py deleted file mode 100644 index 14d5390..0000000 --- a/compressai/latent_codecs/rasterscan.py +++ /dev/null @@ -1,336 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Any, Callable, Dict, List, Optional, Tuple, TypeVar - -import torch -import torch.nn as nn -import torch.nn.functional as F - -from torch import Tensor - -from compressai.ans import BufferedRansEncoder, RansDecoder -from compressai.entropy_models import GaussianConditional -from compressai.layers import MaskedConv2d -from compressai.registry import register_module - -from .base import LatentCodec - -__all__ = [ - "RasterScanLatentCodec", -] - -K = TypeVar("K") -V = TypeVar("V") - - -@register_module("RasterScanLatentCodec") -class RasterScanLatentCodec(LatentCodec): - """Autoregression in raster-scan order with local decoded context. - - PixelCNN context model introduced in - `"Pixel Recurrent Neural Networks" - `_, - by Aaron van den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu, - International Conference on Machine Learning (ICML), 2016. - - First applied to learned image compression in - `"Joint Autoregressive and Hierarchical Priors for Learned Image - Compression" `_, - by D. Minnen, J. Balle, and G.D. Toderici, - Adv. in Neural Information Processing Systems 31 (NeurIPS 2018). - - .. code-block:: none - - ctx_params - │ - ▼ - │ ┌───◄───┐ - ┌─┴─┴─┐ ┌──┴──┐ - │ EP │ │ CP │ - └──┬──┘ └──┬──┘ - │ │ - │ ▲ - ┌───┐ y_hat ▼ │ - y ──►──┤ Q ├────►────····───►──┴──►── y_hat - └───┘ GC - - """ - - gaussian_conditional: GaussianConditional - entropy_parameters: nn.Module - context_prediction: MaskedConv2d - - def __init__( - self, - gaussian_conditional: Optional[GaussianConditional] = None, - entropy_parameters: Optional[nn.Module] = None, - context_prediction: Optional[MaskedConv2d] = None, - **kwargs, - ): - super().__init__() - self.gaussian_conditional = gaussian_conditional or GaussianConditional() - self.entropy_parameters = entropy_parameters or nn.Identity() - self.context_prediction = context_prediction or MaskedConv2d() - self.kernel_size = _reduce_seq(self.context_prediction.kernel_size) - self.padding = (self.kernel_size - 1) // 2 - - def forward(self, y: Tensor, params: Tensor) -> Dict[str, Any]: - y_hat = self.gaussian_conditional.quantize( - y, "noise" if self.training else "dequantize" - ) - ctx_params = self.merge(params, self.context_prediction(y_hat)) - gaussian_params = self.entropy_parameters(ctx_params) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - _, y_likelihoods = self.gaussian_conditional(y, scales_hat, means=means_hat) - return {"likelihoods": {"y": y_likelihoods}, "y_hat": y_hat} - - def compress(self, y: Tensor, ctx_params: Tensor) -> Dict[str, Any]: - n, _, y_height, y_width = y.shape - ds = [ - self._compress_single( - y=y[i : i + 1, :, :, :], - params=ctx_params[i : i + 1, :, :, :], - gaussian_conditional=self.gaussian_conditional, - entropy_parameters=self.entropy_parameters, - context_prediction=self.context_prediction, - height=y_height, - width=y_width, - padding=self.padding, - kernel_size=self.kernel_size, - merge=self.merge, - ) - for i in range(n) - ] - return {**default_collate(ds), "shape": y.shape[2:4]} - - def _compress_single(self, **kwargs): - encoder = BufferedRansEncoder() - y_hat = raster_scan_compress_single_stream(encoder=encoder, **kwargs) - y_strings = encoder.flush() - return {"strings": [y_strings], "y_hat": y_hat.squeeze(0)} - - def decompress( - self, strings: List[List[bytes]], shape: Tuple[int, int], ctx_params: Tensor - ) -> Dict[str, Any]: - (y_strings,) = strings - y_height, y_width = shape - ds = [ - self._decompress_single( - y_string=y_strings[i], - params=ctx_params[i : i + 1, :, :, :], - gaussian_conditional=self.gaussian_conditional, - entropy_parameters=self.entropy_parameters, - context_prediction=self.context_prediction, - height=y_height, - width=y_width, - padding=self.padding, - kernel_size=self.kernel_size, - device=ctx_params.device, - merge=self.merge, - ) - for i in range(len(y_strings)) - ] - return default_collate(ds) - - def _decompress_single(self, y_string, **kwargs): - decoder = RansDecoder() - decoder.set_stream(y_string) - y_hat = raster_scan_decompress_single_stream(decoder=decoder, **kwargs) - return {"y_hat": y_hat.squeeze(0)} - - @staticmethod - def merge(*args): - return torch.cat(args, dim=1) - - -def raster_scan_compress_single_stream( - encoder: BufferedRansEncoder, - y: Tensor, - params: Tensor, - *, - gaussian_conditional: GaussianConditional, - entropy_parameters: nn.Module, - context_prediction: MaskedConv2d, - height: int, - width: int, - padding: int, - kernel_size: int, - merge: Callable[..., Tensor] = lambda *args: torch.cat(args, dim=1), -) -> Tensor: - """Compresses y and writes to encoder bitstream. - - Returns: - The y_hat that will be reconstructed at the decoder. - """ - assert height == y.shape[-2] - assert width == y.shape[-1] - - cdf = gaussian_conditional.quantized_cdf.tolist() - cdf_lengths = gaussian_conditional.cdf_length.tolist() - offsets = gaussian_conditional.offset.tolist() - masked_weight = context_prediction.weight * context_prediction.mask - - y_hat = _pad_2d(y, padding) - - symbols_list = [] - indexes_list = [] - - # Warning, this is slow... - # TODO: profile the calls to the bindings... - for h in range(height): - for w in range(width): - # only perform the mask convolution on a cropped tensor - # centered in (h, w) - y_crop = y_hat[:, :, h : h + kernel_size, w : w + kernel_size] - ctx_p = F.conv2d( - y_crop, - masked_weight, - context_prediction.bias, - ) - - # 1x1 conv for the entropy parameters prediction network, so - # we only keep the elements in the "center" - p = params[:, :, h : h + 1, w : w + 1] - gaussian_params = entropy_parameters(merge(p, ctx_p)) - gaussian_params = gaussian_params.squeeze(3).squeeze(2) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - indexes = gaussian_conditional.build_indexes(scales_hat) - - y_crop = y_crop[:, :, padding, padding] - symbols = gaussian_conditional.quantize(y_crop, "symbols", means_hat) - y_hat_item = symbols + means_hat - - hp = h + padding - wp = w + padding - y_hat[:, :, hp, wp] = y_hat_item - - symbols_list.extend(symbols.squeeze().tolist()) - indexes_list.extend(indexes.squeeze().tolist()) - - encoder.encode_with_indexes(symbols_list, indexes_list, cdf, cdf_lengths, offsets) - - y_hat = _pad_2d(y_hat, -padding) - return y_hat - - -def raster_scan_decompress_single_stream( - decoder: RansDecoder, - params: Tensor, - *, - gaussian_conditional: GaussianConditional, - entropy_parameters: nn.Module, - context_prediction: MaskedConv2d, - height: int, - width: int, - padding: int, - kernel_size: int, - device, - merge: Callable[..., Tensor] = lambda *args: torch.cat(args, dim=1), -) -> Tensor: - """Decodes y_hat from decoder bitstream. - - Returns: - The reconstructed y_hat. - """ - cdf = gaussian_conditional.quantized_cdf.tolist() - cdf_lengths = gaussian_conditional.cdf_length.tolist() - offsets = gaussian_conditional.offset.tolist() - masked_weight = context_prediction.weight * context_prediction.mask - - c = context_prediction.in_channels - shape = (1, c, height + 2 * padding, width + 2 * padding) - y_hat = torch.zeros(shape, device=device) - - # Warning: this is slow due to the auto-regressive nature of the - # decoding... See more recent publication where they use an - # auto-regressive module on chunks of channels for faster decoding... - for h in range(height): - for w in range(width): - # only perform the mask convolution on a cropped tensor - # centered in (h, w) - y_crop = y_hat[:, :, h : h + kernel_size, w : w + kernel_size] - ctx_p = F.conv2d( - y_crop, - masked_weight, - context_prediction.bias, - ) - - # 1x1 conv for the entropy parameters prediction network, so - # we only keep the elements in the "center" - p = params[:, :, h : h + 1, w : w + 1] - gaussian_params = entropy_parameters(merge(p, ctx_p)) - gaussian_params = gaussian_params.squeeze(3).squeeze(2) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - indexes = gaussian_conditional.build_indexes(scales_hat) - - symbols = decoder.decode_stream( - indexes.squeeze().tolist(), cdf, cdf_lengths, offsets - ) - symbols = Tensor(symbols).reshape(1, -1) - y_hat_item = gaussian_conditional.dequantize(symbols, means_hat) - - hp = h + padding - wp = w + padding - y_hat[:, :, hp, wp] = y_hat_item - - y_hat = _pad_2d(y_hat, -padding) - return y_hat - - -def _pad_2d(x: Tensor, padding: int) -> Tensor: - return F.pad(x, (padding, padding, padding, padding)) - - -def _reduce_seq(xs): - assert all(x == xs[0] for x in xs) - return xs[0] - - -def default_collate(batch: List[Dict[K, V]]) -> Dict[K, List[V]]: - if not isinstance(batch, list) or any(not isinstance(d, dict) for d in batch): - raise NotImplementedError - - result = _ld_to_dl(batch) - - for k, vs in result.items(): - if all(isinstance(v, Tensor) for v in vs): - result[k] = torch.stack(vs) - - return result - - -def _ld_to_dl(ld: List[Dict[K, V]]) -> Dict[K, List[V]]: - dl = {} - for d in ld: - for k, v in d.items(): - if k not in dl: - dl[k] = [] - dl[k].append(v) - return dl diff --git a/compressai/layers/__init__.py b/compressai/layers/__init__.py index 888ab62..97f0938 100644 --- a/compressai/layers/__init__.py +++ b/compressai/layers/__init__.py @@ -1,33 +1,2 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - from .basic import * -from .gdn import * from .hist import * -from .layers import * diff --git a/compressai/layers/gdn.py b/compressai/layers/gdn.py deleted file mode 100644 index 099b987..0000000 --- a/compressai/layers/gdn.py +++ /dev/null @@ -1,121 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import torch -import torch.nn as nn -import torch.nn.functional as F - -from torch import Tensor - -from compressai.ops.parametrizers import NonNegativeParametrizer - -__all__ = ["GDN", "GDN1"] - - -class GDN(nn.Module): - r"""Generalized Divisive Normalization layer. - - Introduced in `"Density Modeling of Images Using a Generalized Normalization - Transformation" `_, - by Balle Johannes, Valero Laparra, and Eero P. Simoncelli, (2016). - - .. math:: - - y[i] = \frac{x[i]}{\sqrt{\beta[i] + \sum_j(\gamma[j, i] * x[j]^2)}} - - """ - - def __init__( - self, - in_channels: int, - inverse: bool = False, - beta_min: float = 1e-6, - gamma_init: float = 0.1, - ): - super().__init__() - - beta_min = float(beta_min) - gamma_init = float(gamma_init) - self.inverse = bool(inverse) - - self.beta_reparam = NonNegativeParametrizer(minimum=beta_min) - beta = torch.ones(in_channels) - beta = self.beta_reparam.init(beta) - self.beta = nn.Parameter(beta) - - self.gamma_reparam = NonNegativeParametrizer() - gamma = gamma_init * torch.eye(in_channels) - gamma = self.gamma_reparam.init(gamma) - self.gamma = nn.Parameter(gamma) - - def forward(self, x: Tensor) -> Tensor: - _, C, _, _ = x.size() - - beta = self.beta_reparam(self.beta) - gamma = self.gamma_reparam(self.gamma) - gamma = gamma.reshape(C, C, 1, 1) - norm = F.conv2d(x**2, gamma, beta) - - if self.inverse: - norm = torch.sqrt(norm) - else: - norm = torch.rsqrt(norm) - - out = x * norm - - return out - - -class GDN1(GDN): - r"""Simplified GDN layer. - - Introduced in `"Computationally Efficient Neural Image Compression" - `_, by Johnston Nick, Elad Eban, Ariel - Gordon, and Johannes Ballé, (2019). - - .. math:: - - y[i] = \frac{x[i]}{\beta[i] + \sum_j(\gamma[j, i] * |x[j]|} - - """ - - def forward(self, x: Tensor) -> Tensor: - _, C, _, _ = x.size() - - beta = self.beta_reparam(self.beta) - gamma = self.gamma_reparam(self.gamma) - gamma = gamma.reshape(C, C, 1, 1) - norm = F.conv2d(torch.abs(x), gamma, beta) - - if not self.inverse: - norm = 1.0 / norm - - out = x * norm - - return out diff --git a/compressai/layers/layers.py b/compressai/layers/layers.py deleted file mode 100644 index 540771e..0000000 --- a/compressai/layers/layers.py +++ /dev/null @@ -1,296 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Any - -import torch -import torch.nn as nn - -from torch import Tensor -from torch.autograd import Function - -from .gdn import GDN - -__all__ = [ - "AttentionBlock", - "MaskedConv2d", - "ResidualBlock", - "ResidualBlockUpsample", - "ResidualBlockWithStride", - "conv3x3", - "subpel_conv3x3", - "QReLU", -] - - -class MaskedConv2d(nn.Conv2d): - r"""Masked 2D convolution implementation, mask future "unseen" pixels. - Useful for building auto-regressive network components. - - Introduced in `"Conditional Image Generation with PixelCNN Decoders" - `_. - - Inherits the same arguments as a `nn.Conv2d`. Use `mask_type='A'` for the - first layer (which also masks the "current pixel"), `mask_type='B'` for the - following layers. - """ - - def __init__(self, *args: Any, mask_type: str = "A", **kwargs: Any): - super().__init__(*args, **kwargs) - - if mask_type not in ("A", "B"): - raise ValueError(f'Invalid "mask_type" value "{mask_type}"') - - self.register_buffer("mask", torch.ones_like(self.weight.data)) - _, _, h, w = self.mask.size() - self.mask[:, :, h // 2, w // 2 + (mask_type == "B") :] = 0 - self.mask[:, :, h // 2 + 1 :] = 0 - - def forward(self, x: Tensor) -> Tensor: - # TODO(begaintj): weight assigment is not supported by torchscript - self.weight.data *= self.mask - return super().forward(x) - - -def conv3x3(in_ch: int, out_ch: int, stride: int = 1) -> nn.Module: - """3x3 convolution with padding.""" - return nn.Conv2d(in_ch, out_ch, kernel_size=3, stride=stride, padding=1) - - -def subpel_conv3x3(in_ch: int, out_ch: int, r: int = 1) -> nn.Sequential: - """3x3 sub-pixel convolution for up-sampling.""" - return nn.Sequential( - nn.Conv2d(in_ch, out_ch * r**2, kernel_size=3, padding=1), nn.PixelShuffle(r) - ) - - -def conv1x1(in_ch: int, out_ch: int, stride: int = 1) -> nn.Module: - """1x1 convolution.""" - return nn.Conv2d(in_ch, out_ch, kernel_size=1, stride=stride) - - -class ResidualBlockWithStride(nn.Module): - """Residual block with a stride on the first convolution. - - Args: - in_ch (int): number of input channels - out_ch (int): number of output channels - stride (int): stride value (default: 2) - """ - - def __init__(self, in_ch: int, out_ch: int, stride: int = 2): - super().__init__() - self.conv1 = conv3x3(in_ch, out_ch, stride=stride) - self.leaky_relu = nn.LeakyReLU(inplace=True) - self.conv2 = conv3x3(out_ch, out_ch) - self.gdn = GDN(out_ch) - if stride != 1 or in_ch != out_ch: - self.skip = conv1x1(in_ch, out_ch, stride=stride) - else: - self.skip = None - - def forward(self, x: Tensor) -> Tensor: - identity = x - out = self.conv1(x) - out = self.leaky_relu(out) - out = self.conv2(out) - out = self.gdn(out) - - if self.skip is not None: - identity = self.skip(x) - - out += identity - return out - - -class ResidualBlockUpsample(nn.Module): - """Residual block with sub-pixel upsampling on the last convolution. - - Args: - in_ch (int): number of input channels - out_ch (int): number of output channels - upsample (int): upsampling factor (default: 2) - """ - - def __init__(self, in_ch: int, out_ch: int, upsample: int = 2): - super().__init__() - self.subpel_conv = subpel_conv3x3(in_ch, out_ch, upsample) - self.leaky_relu = nn.LeakyReLU(inplace=True) - self.conv = conv3x3(out_ch, out_ch) - self.igdn = GDN(out_ch, inverse=True) - self.upsample = subpel_conv3x3(in_ch, out_ch, upsample) - - def forward(self, x: Tensor) -> Tensor: - identity = x - out = self.subpel_conv(x) - out = self.leaky_relu(out) - out = self.conv(out) - out = self.igdn(out) - identity = self.upsample(x) - out += identity - return out - - -class ResidualBlock(nn.Module): - """Simple residual block with two 3x3 convolutions. - - Args: - in_ch (int): number of input channels - out_ch (int): number of output channels - """ - - def __init__(self, in_ch: int, out_ch: int): - super().__init__() - self.conv1 = conv3x3(in_ch, out_ch) - self.leaky_relu = nn.LeakyReLU(inplace=True) - self.conv2 = conv3x3(out_ch, out_ch) - if in_ch != out_ch: - self.skip = conv1x1(in_ch, out_ch) - else: - self.skip = None - - def forward(self, x: Tensor) -> Tensor: - identity = x - - out = self.conv1(x) - out = self.leaky_relu(out) - out = self.conv2(out) - out = self.leaky_relu(out) - - if self.skip is not None: - identity = self.skip(x) - - out = out + identity - return out - - -class AttentionBlock(nn.Module): - """Self attention block. - - Simplified variant from `"Learned Image Compression with - Discretized Gaussian Mixture Likelihoods and Attention Modules" - `_, by Zhengxue Cheng, Heming Sun, Masaru - Takeuchi, Jiro Katto. - - Args: - N (int): Number of channels) - """ - - def __init__(self, N: int): - super().__init__() - - class ResidualUnit(nn.Module): - """Simple residual unit.""" - - def __init__(self): - super().__init__() - self.conv = nn.Sequential( - conv1x1(N, N // 2), - nn.ReLU(inplace=True), - conv3x3(N // 2, N // 2), - nn.ReLU(inplace=True), - conv1x1(N // 2, N), - ) - self.relu = nn.ReLU(inplace=True) - - def forward(self, x: Tensor) -> Tensor: - identity = x - out = self.conv(x) - out += identity - out = self.relu(out) - return out - - self.conv_a = nn.Sequential(ResidualUnit(), ResidualUnit(), ResidualUnit()) - - self.conv_b = nn.Sequential( - ResidualUnit(), - ResidualUnit(), - ResidualUnit(), - conv1x1(N, N), - ) - - def forward(self, x: Tensor) -> Tensor: - identity = x - a = self.conv_a(x) - b = self.conv_b(x) - out = a * torch.sigmoid(b) - out += identity - return out - - -class QReLU(Function): - """QReLU - - Clamping input with given bit-depth range. - Suppose that input data presents integer through an integer network - otherwise any precision of input will simply clamp without rounding - operation. - - Pre-computed scale with gamma function is used for backward computation. - - More details can be found in - `"Integer networks for data compression with latent-variable models" - `_, - by Johannes Ballé, Nick Johnston and David Minnen, ICLR in 2019 - - Args: - input: a tensor data - bit_depth: source bit-depth (used for clamping) - beta: a parameter for modeling the gradient during backward computation - """ - - @staticmethod - def forward(ctx, input, bit_depth, beta): - # TODO(choih): allow to use adaptive scale instead of - # pre-computed scale with gamma function - ctx.alpha = 0.9943258522851727 - ctx.beta = beta - ctx.max_value = 2**bit_depth - 1 - ctx.save_for_backward(input) - - return input.clamp(min=0, max=ctx.max_value) - - @staticmethod - def backward(ctx, grad_output): - grad_input = None - (input,) = ctx.saved_tensors - - grad_input = grad_output.clone() - grad_sub = ( - torch.exp( - (-ctx.alpha**ctx.beta) - * torch.abs(2.0 * input / ctx.max_value - 1) ** ctx.beta - ) - * grad_output.clone() - ) - - grad_input[input < 0] = grad_sub[input < 0] - grad_input[input > ctx.max_value] = grad_sub[input > ctx.max_value] - - return grad_input, None, None diff --git a/compressai/losses/__init__.py b/compressai/losses/__init__.py index 62b6e1e..98e02ef 100644 --- a/compressai/losses/__init__.py +++ b/compressai/losses/__init__.py @@ -1,34 +1,5 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .rate_distortion import RateDistortionLoss +from .rate_distortion import AdaptiveRateDistortionLoss __all__ = [ - "RateDistortionLoss", + "AdaptiveRateDistortionLoss", ] diff --git a/compressai/losses/rate_distortion.py b/compressai/losses/rate_distortion.py index 4a5b7b0..4ccd4e3 100644 --- a/compressai/losses/rate_distortion.py +++ b/compressai/losses/rate_distortion.py @@ -1,82 +1,11 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import math - from collections import defaultdict -import torch import torch.nn as nn - from pytorch_msssim import ms_ssim from compressai.registry import register_criterion -@register_criterion("RateDistortionLoss") -class RateDistortionLoss(nn.Module): - """Custom rate distortion loss with a Lagrangian parameter.""" - - def __init__(self, lmbda=0.01, metric="mse", return_type="all"): - super().__init__() - if metric == "mse": - self.metric = nn.MSELoss() - elif metric == "ms-ssim": - self.metric = ms_ssim - else: - raise NotImplementedError(f"{metric} is not implemented!") - self.lmbda = lmbda - self.return_type = return_type - - def forward(self, output, target): - N, _, H, W = target.size() - out = {} - num_pixels = N * H * W - - out["bpp_loss"] = sum( - (torch.log(likelihoods).sum() / (-math.log(2) * num_pixels)) - for likelihoods in output["likelihoods"].values() - ) - if self.metric == ms_ssim: - out["ms_ssim_loss"] = self.metric(output["x_hat"], target, data_range=1) - distortion = 1 - out["ms_ssim_loss"] - else: - out["mse_loss"] = self.metric(output["x_hat"], target) - distortion = 255**2 * out["mse_loss"] - - out["loss"] = self.lmbda * distortion + out["bpp_loss"] - if self.return_type == "all": - return out - else: - return out[self.return_type] - - @register_criterion("AdaptiveRateDistortionLoss") class AdaptiveRateDistortionLoss(nn.Module): """Custom rate distortion loss with a Lagrangian parameter.""" diff --git a/compressai/models/__init__.py b/compressai/models/__init__.py index ccddc38..d1e0060 100644 --- a/compressai/models/__init__.py +++ b/compressai/models/__init__.py @@ -1,33 +1 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - from .adaptive import * -from .base import * -from .google import * -from .waseda import * diff --git a/compressai/models/adaptive.py b/compressai/models/adaptive.py index c7b6993..8086f55 100644 --- a/compressai/models/adaptive.py +++ b/compressai/models/adaptive.py @@ -6,13 +6,16 @@ from compressai.entropy_models.entropy_models import EntropyBottleneck, pdf_layout from compressai.latent_codecs import LatentCodec from compressai.layers import UniformHistogram +from compressai.models.base import CompressionModel +from compressai.models.google import ( + FactorizedPrior, + MeanScaleHyperprior, + ScaleHyperprior, +) from compressai.ops import RangeBound from compressai.registry import register_model, register_module from compressai.registry.torch import MODELS -from .base import CompressionModel -from .google import FactorizedPrior, MeanScaleHyperprior, ScaleHyperprior - class FreezeMixin: def _freeze_modules(self, freeze_modules, unfreeze_modules): diff --git a/compressai/models/base.py b/compressai/models/base.py deleted file mode 100644 index 543aa96..0000000 --- a/compressai/models/base.py +++ /dev/null @@ -1,184 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import math - -from typing import cast - -import torch -import torch.nn as nn - -from torch import Tensor - -from compressai.entropy_models import EntropyBottleneck, GaussianConditional -from compressai.latent_codecs import LatentCodec -from compressai.models.utils import update_registered_buffers - -__all__ = [ - "CompressionModel", - "SimpleVAECompressionModel", - "get_scale_table", - "SCALES_MIN", - "SCALES_MAX", - "SCALES_LEVELS", -] - - -# From Balle's tensorflow compression examples -SCALES_MIN = 0.11 -SCALES_MAX = 256 -SCALES_LEVELS = 64 - - -def get_scale_table(min=SCALES_MIN, max=SCALES_MAX, levels=SCALES_LEVELS): - """Returns table of logarithmically scales.""" - return torch.exp(torch.linspace(math.log(min), math.log(max), levels)) - - -class CompressionModel(nn.Module): - """Base class for constructing an auto-encoder with any number of - EntropyBottleneck or GaussianConditional modules. - """ - - def load_state_dict(self, state_dict, strict=True): - for name, module in self.named_modules(): - if not any(x.startswith(name) for x in state_dict.keys()): - continue - - if isinstance(module, EntropyBottleneck): - update_registered_buffers( - module, - name, - ["_quantized_cdf", "_offset", "_cdf_length"], - state_dict, - ) - - if isinstance(module, GaussianConditional): - update_registered_buffers( - module, - name, - ["_quantized_cdf", "_offset", "_cdf_length", "scale_table"], - state_dict, - ) - - return nn.Module.load_state_dict(self, state_dict, strict=strict) - - def update(self, scale_table=None, force=False): - """Updates EntropyBottleneck and GaussianConditional CDFs. - - Needs to be called once after training to be able to later perform the - evaluation with an actual entropy coder. - - Args: - scale_table (torch.Tensor): table of scales (i.e. stdev) - for initializing the Gaussian distributions - (default: 64 logarithmically spaced scales from 0.11 to 256) - force (bool): overwrite previous values (default: False) - - Returns: - updated (bool): True if at least one of the modules was updated. - """ - if scale_table is None: - scale_table = get_scale_table() - updated = False - for _, module in self.named_modules(): - if isinstance(module, EntropyBottleneck): - updated |= module.update(force=force) - if isinstance(module, GaussianConditional): - updated |= module.update_scale_table(scale_table, force=force) - return updated - - def aux_loss(self) -> Tensor: - r"""Returns the total auxiliary loss over all ``EntropyBottleneck``\s. - - In contrast to the primary "net" loss used by the "net" - optimizer, the "aux" loss is only used by the "aux" optimizer to - update *only* the ``EntropyBottleneck.quantiles`` parameters. In - fact, the "aux" loss does not depend on image data at all. - - The purpose of the "aux" loss is to determine the range within - which most of the mass of a given distribution is contained, as - well as its median (i.e. 50% probability). That is, for a given - distribution, the "aux" loss converges towards satisfying the - following conditions for some chosen ``tail_mass`` probability: - - * ``cdf(quantiles[0]) = tail_mass / 2`` - * ``cdf(quantiles[1]) = 0.5`` - * ``cdf(quantiles[2]) = 1 - tail_mass / 2`` - - This ensures that the concrete ``_quantized_cdf``\s operate - primarily within a finitely supported region. Any symbols - outside this range must be coded using some alternative method - that does *not* involve the ``_quantized_cdf``\s. Luckily, one - may choose a ``tail_mass`` probability that is sufficiently - small so that this rarely occurs. It is important that we work - with ``_quantized_cdf``\s that have a small finite support; - otherwise, entropy coding runtime performance would suffer. - Thus, ``tail_mass`` should not be too small, either! - """ - loss = sum(m.loss() for m in self.modules() if isinstance(m, EntropyBottleneck)) - return cast(Tensor, loss) - - -class SimpleVAECompressionModel(CompressionModel): - """Simple VAE model with arbitrary latent codec. - - .. code-block:: none - - ┌───┐ y ┌────┐ y_hat ┌───┐ - x ──►──┤g_a├──►──┤ lc ├───►───┤g_s├──►── x_hat - └───┘ └────┘ └───┘ - """ - - g_a: nn.Module - g_s: nn.Module - latent_codec: LatentCodec - - def forward(self, x): - y = self.g_a(x) - y_out = self.latent_codec(y) - y_hat = y_out["y_hat"] - x_hat = self.g_s(y_hat) - return { - "x_hat": x_hat, - "likelihoods": y_out["likelihoods"], - } - - def compress(self, x): - y = self.g_a(x) - outputs = self.latent_codec.compress(y) - return outputs - - def decompress(self, strings, shape): - y_out = self.latent_codec.decompress(strings, shape) - y_hat = y_out["y_hat"] - x_hat = self.g_s(y_hat).clamp_(0, 1) - return { - "x_hat": x_hat, - } diff --git a/compressai/models/google.py b/compressai/models/google.py deleted file mode 100644 index 1a6d9d5..0000000 --- a/compressai/models/google.py +++ /dev/null @@ -1,731 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import warnings - -import torch -import torch.nn as nn -import torch.nn.functional as F - -from compressai.ans import BufferedRansEncoder, RansDecoder -from compressai.entropy_models import EntropyBottleneck, GaussianConditional -from compressai.layers import GDN, MaskedConv2d -from compressai.registry import register_model - -from .base import ( - SCALES_LEVELS, - SCALES_MAX, - SCALES_MIN, - CompressionModel, - get_scale_table, -) -from .utils import conv, deconv - -__all__ = [ - "CompressionModel", - "FactorizedPrior", - "FactorizedPriorReLU", - "ScaleHyperprior", - "MeanScaleHyperprior", - "JointAutoregressiveHierarchicalPriors", - "get_scale_table", - "SCALES_MIN", - "SCALES_MAX", - "SCALES_LEVELS", -] - - -@register_model("bmshj2018-factorized") -class FactorizedPrior(CompressionModel): - r"""Factorized Prior model from J. Balle, D. Minnen, S. Singh, S.J. Hwang, - N. Johnston: `"Variational Image Compression with a Scale Hyperprior" - `_, Int Conf. on Learning Representations - (ICLR), 2018. - - .. code-block:: none - - ┌───┐ y - x ──►─┤g_a├──►─┐ - └───┘ │ - ▼ - ┌─┴─┐ - │ Q │ - └─┬─┘ - │ - y_hat ▼ - │ - · - EB : - · - │ - y_hat ▼ - │ - ┌───┐ │ - x_hat ──◄─┤g_s├────┘ - └───┘ - - EB = Entropy bottleneck - - Args: - N (int): Number of channels - M (int): Number of channels in the expansion layers (last layer of the - encoder and last layer of the hyperprior decoder) - """ - - def __init__(self, N, M, **kwargs): - super().__init__(**kwargs) - - self.entropy_bottleneck = EntropyBottleneck(M) - - self.g_a = nn.Sequential( - conv(3, N), - GDN(N), - conv(N, N), - GDN(N), - conv(N, N), - GDN(N), - conv(N, M), - ) - - self.g_s = nn.Sequential( - deconv(M, N), - GDN(N, inverse=True), - deconv(N, N), - GDN(N, inverse=True), - deconv(N, N), - GDN(N, inverse=True), - deconv(N, 3), - ) - - self.N = N - self.M = M - - @property - def downsampling_factor(self) -> int: - return 2**4 - - def forward(self, x): - y = self.g_a(x) - y_hat, y_likelihoods = self.entropy_bottleneck(y) - x_hat = self.g_s(y_hat) - - return { - "x_hat": x_hat, - "likelihoods": { - "y": y_likelihoods, - }, - } - - @classmethod - def from_state_dict(cls, state_dict): - """Return a new model instance from `state_dict`.""" - N = state_dict["g_a.0.weight"].size(0) - M = state_dict["g_a.6.weight"].size(0) - net = cls(N, M) - net.load_state_dict(state_dict) - return net - - def compress(self, x): - y = self.g_a(x) - y_strings = self.entropy_bottleneck.compress(y) - return {"strings": [y_strings], "shape": y.size()[-2:]} - - def decompress(self, strings, shape): - assert isinstance(strings, list) and len(strings) == 1 - y_hat = self.entropy_bottleneck.decompress(strings[0], shape) - x_hat = self.g_s(y_hat).clamp_(0, 1) - return {"x_hat": x_hat} - - -@register_model("bmshj2018-factorized-relu") -class FactorizedPriorReLU(FactorizedPrior): - r"""Factorized Prior model from J. Balle, D. Minnen, S. Singh, S.J. Hwang, - N. Johnston: `"Variational Image Compression with a Scale Hyperprior" - `_, Int Conf. on Learning Representations - (ICLR), 2018. - GDN activations are replaced by ReLU. - - Args: - N (int): Number of channels - M (int): Number of channels in the expansion layers (last layer of the - encoder and last layer of the hyperprior decoder) - """ - - def __init__(self, N, M, **kwargs): - super().__init__(N=N, M=M, **kwargs) - - self.g_a = nn.Sequential( - conv(3, N), - nn.ReLU(inplace=True), - conv(N, N), - nn.ReLU(inplace=True), - conv(N, N), - nn.ReLU(inplace=True), - conv(N, M), - ) - - self.g_s = nn.Sequential( - deconv(M, N), - nn.ReLU(inplace=True), - deconv(N, N), - nn.ReLU(inplace=True), - deconv(N, N), - nn.ReLU(inplace=True), - deconv(N, 3), - ) - - -@register_model("bmshj2018-hyperprior") -class ScaleHyperprior(CompressionModel): - r"""Scale Hyperprior model from J. Balle, D. Minnen, S. Singh, S.J. Hwang, - N. Johnston: `"Variational Image Compression with a Scale Hyperprior" - `_ Int. Conf. on Learning Representations - (ICLR), 2018. - - .. code-block:: none - - ┌───┐ y ┌───┐ z ┌───┐ z_hat z_hat ┌───┐ - x ──►─┤g_a├──►─┬──►──┤h_a├──►──┤ Q ├───►───·⋯⋯·───►───┤h_s├─┐ - └───┘ │ └───┘ └───┘ EB └───┘ │ - ▼ │ - ┌─┴─┐ │ - │ Q │ ▼ - └─┬─┘ │ - │ │ - y_hat ▼ │ - │ │ - · │ - GC : ◄─────────────────────◄────────────────────┘ - · scales_hat - │ - y_hat ▼ - │ - ┌───┐ │ - x_hat ──◄─┤g_s├────┘ - └───┘ - - EB = Entropy bottleneck - GC = Gaussian conditional - - Args: - N (int): Number of channels - M (int): Number of channels in the expansion layers (last layer of the - encoder and last layer of the hyperprior decoder) - """ - - def __init__(self, N, M, **kwargs): - super().__init__(**kwargs) - - self.entropy_bottleneck = EntropyBottleneck(N) - - self.g_a = nn.Sequential( - conv(3, N), - GDN(N), - conv(N, N), - GDN(N), - conv(N, N), - GDN(N), - conv(N, M), - ) - - self.g_s = nn.Sequential( - deconv(M, N), - GDN(N, inverse=True), - deconv(N, N), - GDN(N, inverse=True), - deconv(N, N), - GDN(N, inverse=True), - deconv(N, 3), - ) - - self.h_a = nn.Sequential( - conv(M, N, stride=1, kernel_size=3), - nn.ReLU(inplace=True), - conv(N, N), - nn.ReLU(inplace=True), - conv(N, N), - ) - - self.h_s = nn.Sequential( - deconv(N, N), - nn.ReLU(inplace=True), - deconv(N, N), - nn.ReLU(inplace=True), - conv(N, M, stride=1, kernel_size=3), - nn.ReLU(inplace=True), - ) - - self.gaussian_conditional = GaussianConditional(None) - self.N = int(N) - self.M = int(M) - - @property - def downsampling_factor(self) -> int: - return 2 ** (4 + 2) - - def forward(self, x): - y = self.g_a(x) - z = self.h_a(torch.abs(y)) - z_hat, z_likelihoods = self.entropy_bottleneck(z) - scales_hat = self.h_s(z_hat) - y_hat, y_likelihoods = self.gaussian_conditional(y, scales_hat) - x_hat = self.g_s(y_hat) - - return { - "x_hat": x_hat, - "likelihoods": {"y": y_likelihoods, "z": z_likelihoods}, - } - - @classmethod - def from_state_dict(cls, state_dict): - """Return a new model instance from `state_dict`.""" - N = state_dict["g_a.0.weight"].size(0) - M = state_dict["g_a.6.weight"].size(0) - net = cls(N, M) - net.load_state_dict(state_dict) - return net - - def compress(self, x): - y = self.g_a(x) - z = self.h_a(torch.abs(y)) - - z_strings = self.entropy_bottleneck.compress(z) - z_hat = self.entropy_bottleneck.decompress(z_strings, z.size()[-2:]) - - scales_hat = self.h_s(z_hat) - indexes = self.gaussian_conditional.build_indexes(scales_hat) - y_strings = self.gaussian_conditional.compress(y, indexes) - return {"strings": [y_strings, z_strings], "shape": z.size()[-2:]} - - def decompress(self, strings, shape): - assert isinstance(strings, list) and len(strings) == 2 - z_hat = self.entropy_bottleneck.decompress(strings[1], shape) - scales_hat = self.h_s(z_hat) - indexes = self.gaussian_conditional.build_indexes(scales_hat) - y_hat = self.gaussian_conditional.decompress(strings[0], indexes, z_hat.dtype) - x_hat = self.g_s(y_hat).clamp_(0, 1) - return {"x_hat": x_hat} - - -@register_model("mbt2018-mean") -class MeanScaleHyperprior(ScaleHyperprior): - r"""Scale Hyperprior with non zero-mean Gaussian conditionals from D. - Minnen, J. Balle, G.D. Toderici: `"Joint Autoregressive and Hierarchical - Priors for Learned Image Compression" `_, - Adv. in Neural Information Processing Systems 31 (NeurIPS 2018). - - .. code-block:: none - - ┌───┐ y ┌───┐ z ┌───┐ z_hat z_hat ┌───┐ - x ──►─┤g_a├──►─┬──►──┤h_a├──►──┤ Q ├───►───·⋯⋯·───►───┤h_s├─┐ - └───┘ │ └───┘ └───┘ EB └───┘ │ - ▼ │ - ┌─┴─┐ │ - │ Q │ ▼ - └─┬─┘ │ - │ │ - y_hat ▼ │ - │ │ - · │ - GC : ◄─────────────────────◄────────────────────┘ - · scales_hat - │ means_hat - y_hat ▼ - │ - ┌───┐ │ - x_hat ──◄─┤g_s├────┘ - └───┘ - - EB = Entropy bottleneck - GC = Gaussian conditional - - Args: - N (int): Number of channels - M (int): Number of channels in the expansion layers (last layer of the - encoder and last layer of the hyperprior decoder) - """ - - def __init__(self, N, M, **kwargs): - super().__init__(N=N, M=M, **kwargs) - - self.h_a = nn.Sequential( - conv(M, N, stride=1, kernel_size=3), - nn.LeakyReLU(inplace=True), - conv(N, N), - nn.LeakyReLU(inplace=True), - conv(N, N), - ) - - self.h_s = nn.Sequential( - deconv(N, M), - nn.LeakyReLU(inplace=True), - deconv(M, M * 3 // 2), - nn.LeakyReLU(inplace=True), - conv(M * 3 // 2, M * 2, stride=1, kernel_size=3), - ) - - def forward(self, x): - y = self.g_a(x) - z = self.h_a(y) - z_hat, z_likelihoods = self.entropy_bottleneck(z) - gaussian_params = self.h_s(z_hat) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - y_hat, y_likelihoods = self.gaussian_conditional(y, scales_hat, means=means_hat) - x_hat = self.g_s(y_hat) - - return { - "x_hat": x_hat, - "likelihoods": {"y": y_likelihoods, "z": z_likelihoods}, - } - - def compress(self, x): - y = self.g_a(x) - z = self.h_a(y) - - z_strings = self.entropy_bottleneck.compress(z) - z_hat = self.entropy_bottleneck.decompress(z_strings, z.size()[-2:]) - - gaussian_params = self.h_s(z_hat) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - indexes = self.gaussian_conditional.build_indexes(scales_hat) - y_strings = self.gaussian_conditional.compress(y, indexes, means=means_hat) - return {"strings": [y_strings, z_strings], "shape": z.size()[-2:]} - - def decompress(self, strings, shape): - assert isinstance(strings, list) and len(strings) == 2 - z_hat = self.entropy_bottleneck.decompress(strings[1], shape) - gaussian_params = self.h_s(z_hat) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - indexes = self.gaussian_conditional.build_indexes(scales_hat) - y_hat = self.gaussian_conditional.decompress( - strings[0], indexes, means=means_hat - ) - x_hat = self.g_s(y_hat).clamp_(0, 1) - return {"x_hat": x_hat} - - -@register_model("mbt2018") -class JointAutoregressiveHierarchicalPriors(MeanScaleHyperprior): - r"""Joint Autoregressive Hierarchical Priors model from D. - Minnen, J. Balle, G.D. Toderici: `"Joint Autoregressive and Hierarchical - Priors for Learned Image Compression" `_, - Adv. in Neural Information Processing Systems 31 (NeurIPS 2018). - - .. code-block:: none - - ┌───┐ y ┌───┐ z ┌───┐ z_hat z_hat ┌───┐ - x ──►─┤g_a├──►─┬──►──┤h_a├──►──┤ Q ├───►───·⋯⋯·───►───┤h_s├─┐ - └───┘ │ └───┘ └───┘ EB └───┘ │ - ▼ │ - ┌─┴─┐ │ - │ Q │ params ▼ - └─┬─┘ │ - y_hat ▼ ┌─────┐ │ - ├──────────►───────┤ CP ├────────►──────────┤ - │ └─────┘ │ - ▼ ▼ - │ │ - · ┌─────┐ │ - GC : ◄────────◄───────┤ EP ├────────◄──────────┘ - · scales_hat └─────┘ - │ means_hat - y_hat ▼ - │ - ┌───┐ │ - x_hat ──◄─┤g_s├────┘ - └───┘ - - EB = Entropy bottleneck - GC = Gaussian conditional - EP = Entropy parameters network - CP = Context prediction (masked convolution) - - Args: - N (int): Number of channels - M (int): Number of channels in the expansion layers (last layer of the - encoder and last layer of the hyperprior decoder) - """ - - def __init__(self, N=192, M=192, **kwargs): - super().__init__(N=N, M=M, **kwargs) - - self.g_a = nn.Sequential( - conv(3, N, kernel_size=5, stride=2), - GDN(N), - conv(N, N, kernel_size=5, stride=2), - GDN(N), - conv(N, N, kernel_size=5, stride=2), - GDN(N), - conv(N, M, kernel_size=5, stride=2), - ) - - self.g_s = nn.Sequential( - deconv(M, N, kernel_size=5, stride=2), - GDN(N, inverse=True), - deconv(N, N, kernel_size=5, stride=2), - GDN(N, inverse=True), - deconv(N, N, kernel_size=5, stride=2), - GDN(N, inverse=True), - deconv(N, 3, kernel_size=5, stride=2), - ) - - self.h_a = nn.Sequential( - conv(M, N, stride=1, kernel_size=3), - nn.LeakyReLU(inplace=True), - conv(N, N, stride=2, kernel_size=5), - nn.LeakyReLU(inplace=True), - conv(N, N, stride=2, kernel_size=5), - ) - - self.h_s = nn.Sequential( - deconv(N, M, stride=2, kernel_size=5), - nn.LeakyReLU(inplace=True), - deconv(M, M * 3 // 2, stride=2, kernel_size=5), - nn.LeakyReLU(inplace=True), - conv(M * 3 // 2, M * 2, stride=1, kernel_size=3), - ) - - self.entropy_parameters = nn.Sequential( - nn.Conv2d(M * 12 // 3, M * 10 // 3, 1), - nn.LeakyReLU(inplace=True), - nn.Conv2d(M * 10 // 3, M * 8 // 3, 1), - nn.LeakyReLU(inplace=True), - nn.Conv2d(M * 8 // 3, M * 6 // 3, 1), - ) - - self.context_prediction = MaskedConv2d( - M, 2 * M, kernel_size=5, padding=2, stride=1 - ) - - self.gaussian_conditional = GaussianConditional(None) - self.N = int(N) - self.M = int(M) - - @property - def downsampling_factor(self) -> int: - return 2 ** (4 + 2) - - def forward(self, x): - y = self.g_a(x) - z = self.h_a(y) - z_hat, z_likelihoods = self.entropy_bottleneck(z) - params = self.h_s(z_hat) - - y_hat = self.gaussian_conditional.quantize( - y, "noise" if self.training else "dequantize" - ) - ctx_params = self.context_prediction(y_hat) - gaussian_params = self.entropy_parameters( - torch.cat((params, ctx_params), dim=1) - ) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - _, y_likelihoods = self.gaussian_conditional(y, scales_hat, means=means_hat) - x_hat = self.g_s(y_hat) - - return { - "x_hat": x_hat, - "likelihoods": {"y": y_likelihoods, "z": z_likelihoods}, - } - - @classmethod - def from_state_dict(cls, state_dict): - """Return a new model instance from `state_dict`.""" - N = state_dict["g_a.0.weight"].size(0) - M = state_dict["g_a.6.weight"].size(0) - net = cls(N, M) - net.load_state_dict(state_dict) - return net - - def compress(self, x): - if next(self.parameters()).device != torch.device("cpu"): - warnings.warn( - "Inference on GPU is not recommended for the autoregressive " - "models (the entropy coder is run sequentially on CPU).", - stacklevel=2, - ) - - y = self.g_a(x) - z = self.h_a(y) - - z_strings = self.entropy_bottleneck.compress(z) - z_hat = self.entropy_bottleneck.decompress(z_strings, z.size()[-2:]) - - params = self.h_s(z_hat) - - s = 4 # scaling factor between z and y - kernel_size = 5 # context prediction kernel size - padding = (kernel_size - 1) // 2 - - y_height = z_hat.size(2) * s - y_width = z_hat.size(3) * s - - y_hat = F.pad(y, (padding, padding, padding, padding)) - - y_strings = [] - for i in range(y.size(0)): - string = self._compress_ar( - y_hat[i : i + 1], - params[i : i + 1], - y_height, - y_width, - kernel_size, - padding, - ) - y_strings.append(string) - - return {"strings": [y_strings, z_strings], "shape": z.size()[-2:]} - - def _compress_ar(self, y_hat, params, height, width, kernel_size, padding): - cdf = self.gaussian_conditional.quantized_cdf.tolist() - cdf_lengths = self.gaussian_conditional.cdf_length.tolist() - offsets = self.gaussian_conditional.offset.tolist() - - encoder = BufferedRansEncoder() - symbols_list = [] - indexes_list = [] - - # Warning, this is slow... - # TODO: profile the calls to the bindings... - masked_weight = self.context_prediction.weight * self.context_prediction.mask - for h in range(height): - for w in range(width): - y_crop = y_hat[:, :, h : h + kernel_size, w : w + kernel_size] - ctx_p = F.conv2d( - y_crop, - masked_weight, - bias=self.context_prediction.bias, - ) - - # 1x1 conv for the entropy parameters prediction network, so - # we only keep the elements in the "center" - p = params[:, :, h : h + 1, w : w + 1] - gaussian_params = self.entropy_parameters(torch.cat((p, ctx_p), dim=1)) - gaussian_params = gaussian_params.squeeze(3).squeeze(2) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - - indexes = self.gaussian_conditional.build_indexes(scales_hat) - - y_crop = y_crop[:, :, padding, padding] - y_q = self.gaussian_conditional.quantize(y_crop, "symbols", means_hat) - y_hat[:, :, h + padding, w + padding] = y_q + means_hat - - symbols_list.extend(y_q.squeeze().tolist()) - indexes_list.extend(indexes.squeeze().tolist()) - - encoder.encode_with_indexes( - symbols_list, indexes_list, cdf, cdf_lengths, offsets - ) - - string = encoder.flush() - return string - - def decompress(self, strings, shape): - assert isinstance(strings, list) and len(strings) == 2 - - if next(self.parameters()).device != torch.device("cpu"): - warnings.warn( - "Inference on GPU is not recommended for the autoregressive " - "models (the entropy coder is run sequentially on CPU).", - stacklevel=2, - ) - - # FIXME: we don't respect the default entropy coder and directly call the - # range ANS decoder - - z_hat = self.entropy_bottleneck.decompress(strings[1], shape) - params = self.h_s(z_hat) - - s = 4 # scaling factor between z and y - kernel_size = 5 # context prediction kernel size - padding = (kernel_size - 1) // 2 - - y_height = z_hat.size(2) * s - y_width = z_hat.size(3) * s - - # initialize y_hat to zeros, and pad it so we can directly work with - # sub-tensors of size (N, C, kernel size, kernel_size) - y_hat = torch.zeros( - (z_hat.size(0), self.M, y_height + 2 * padding, y_width + 2 * padding), - device=z_hat.device, - ) - - for i, y_string in enumerate(strings[0]): - self._decompress_ar( - y_string, - y_hat[i : i + 1], - params[i : i + 1], - y_height, - y_width, - kernel_size, - padding, - ) - - y_hat = F.pad(y_hat, (-padding, -padding, -padding, -padding)) - x_hat = self.g_s(y_hat).clamp_(0, 1) - return {"x_hat": x_hat} - - def _decompress_ar( - self, y_string, y_hat, params, height, width, kernel_size, padding - ): - cdf = self.gaussian_conditional.quantized_cdf.tolist() - cdf_lengths = self.gaussian_conditional.cdf_length.tolist() - offsets = self.gaussian_conditional.offset.tolist() - - decoder = RansDecoder() - decoder.set_stream(y_string) - - # Warning: this is slow due to the auto-regressive nature of the - # decoding... See more recent publication where they use an - # auto-regressive module on chunks of channels for faster decoding... - for h in range(height): - for w in range(width): - # only perform the 5x5 convolution on a cropped tensor - # centered in (h, w) - y_crop = y_hat[:, :, h : h + kernel_size, w : w + kernel_size] - ctx_p = F.conv2d( - y_crop, - self.context_prediction.weight, - bias=self.context_prediction.bias, - ) - # 1x1 conv for the entropy parameters prediction network, so - # we only keep the elements in the "center" - p = params[:, :, h : h + 1, w : w + 1] - gaussian_params = self.entropy_parameters(torch.cat((p, ctx_p), dim=1)) - scales_hat, means_hat = gaussian_params.chunk(2, 1) - - indexes = self.gaussian_conditional.build_indexes(scales_hat) - rv = decoder.decode_stream( - indexes.squeeze().tolist(), cdf, cdf_lengths, offsets - ) - rv = torch.Tensor(rv).reshape(1, -1, 1, 1) - rv = self.gaussian_conditional.dequantize(rv, means_hat) - - hp = h + padding - wp = w + padding - y_hat[:, :, hp : hp + 1, wp : wp + 1] = rv diff --git a/compressai/models/priors.py b/compressai/models/priors.py deleted file mode 100644 index a72cd06..0000000 --- a/compressai/models/priors.py +++ /dev/null @@ -1,38 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import warnings - -warnings.warn( - "priors module is deprecated, it is renamed 'google'", - DeprecationWarning, - stacklevel=2, -) - -from .google import * # noqa: F401, E402 diff --git a/compressai/models/utils.py b/compressai/models/utils.py deleted file mode 100644 index b583e75..0000000 --- a/compressai/models/utils.py +++ /dev/null @@ -1,189 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import torch -import torch.nn as nn -import torch.nn.functional as F - - -def find_named_module(module, query): - """Helper function to find a named module. Returns a `nn.Module` or `None` - - Args: - module (nn.Module): the root module - query (str): the module name to find - - Returns: - nn.Module or None - """ - - return next((m for n, m in module.named_modules() if n == query), None) - - -def find_named_buffer(module, query): - """Helper function to find a named buffer. Returns a `torch.Tensor` or `None` - - Args: - module (nn.Module): the root module - query (str): the buffer name to find - - Returns: - torch.Tensor or None - """ - return next((b for n, b in module.named_buffers() if n == query), None) - - -def _update_registered_buffer( - module, - buffer_name, - state_dict_key, - state_dict, - policy="resize_if_empty", - dtype=torch.int, -): - new_size = state_dict[state_dict_key].size() - registered_buf = find_named_buffer(module, buffer_name) - - if policy in ("resize_if_empty", "resize"): - if registered_buf is None: - raise RuntimeError(f'buffer "{buffer_name}" was not registered') - - if policy == "resize" or registered_buf.numel() == 0: - registered_buf.resize_(new_size) - - elif policy == "register": - if registered_buf is not None: - raise RuntimeError(f'buffer "{buffer_name}" was already registered') - - module.register_buffer(buffer_name, torch.empty(new_size, dtype=dtype).fill_(0)) - - else: - raise ValueError(f'Invalid policy "{policy}"') - - -def update_registered_buffers( - module, - module_name, - buffer_names, - state_dict, - policy="resize_if_empty", - dtype=torch.int, -): - """Update the registered buffers in a module according to the tensors sized - in a state_dict. - - (There's no way in torch to directly load a buffer with a dynamic size) - - Args: - module (nn.Module): the module - module_name (str): module name in the state dict - buffer_names (list(str)): list of the buffer names to resize in the module - state_dict (dict): the state dict - policy (str): Update policy, choose from - ('resize_if_empty', 'resize', 'register') - dtype (dtype): Type of buffer to be registered (when policy is 'register') - """ - valid_buffer_names = [n for n, _ in module.named_buffers()] - for buffer_name in buffer_names: - if buffer_name not in valid_buffer_names: - raise ValueError(f'Invalid buffer name "{buffer_name}"') - - for buffer_name in buffer_names: - _update_registered_buffer( - module, - buffer_name, - f"{module_name}.{buffer_name}", - state_dict, - policy, - dtype, - ) - - -def conv(in_channels, out_channels, kernel_size=5, stride=2): - return nn.Conv2d( - in_channels, - out_channels, - kernel_size=kernel_size, - stride=stride, - padding=kernel_size // 2, - ) - - -def deconv(in_channels, out_channels, kernel_size=5, stride=2): - return nn.ConvTranspose2d( - in_channels, - out_channels, - kernel_size=kernel_size, - stride=stride, - output_padding=stride - 1, - padding=kernel_size // 2, - ) - - -def gaussian_kernel1d( - kernel_size: int, sigma: float, device: torch.device, dtype: torch.dtype -): - """1D Gaussian kernel.""" - khalf = (kernel_size - 1) / 2.0 - x = torch.linspace(-khalf, khalf, steps=kernel_size, dtype=dtype, device=device) - pdf = torch.exp(-0.5 * (x / sigma).pow(2)) - return pdf / pdf.sum() - - -def gaussian_kernel2d( - kernel_size: int, sigma: float, device: torch.device, dtype: torch.dtype -): - """2D Gaussian kernel.""" - kernel = gaussian_kernel1d(kernel_size, sigma, device, dtype) - return torch.mm(kernel[:, None], kernel[None, :]) - - -def gaussian_blur(x, kernel=None, kernel_size=None, sigma=None): - """Apply a 2D gaussian blur on a given image tensor.""" - if kernel is None: - if kernel_size is None or sigma is None: - raise RuntimeError("Missing kernel_size or sigma parameters") - dtype = x.dtype if torch.is_floating_point(x) else torch.float32 - device = x.device - kernel = gaussian_kernel2d(kernel_size, sigma, device, dtype) - - padding = kernel.size(0) // 2 - x = F.pad(x, (padding, padding, padding, padding), mode="replicate") - x = torch.nn.functional.conv2d( - x, - kernel.expand(x.size(1), 1, kernel.size(0), kernel.size(1)), - groups=x.size(1), - ) - return x - - -def meshgrid2d(N: int, C: int, H: int, W: int, device: torch.device): - """Create a 2D meshgrid for interpolation.""" - theta = torch.eye(2, 3, device=device).unsqueeze(0).expand(N, 2, 3) - return F.affine_grid(theta, (N, C, H, W), align_corners=False) diff --git a/compressai/models/video/__init__.py b/compressai/models/video/__init__.py deleted file mode 100644 index 5d1e969..0000000 --- a/compressai/models/video/__init__.py +++ /dev/null @@ -1,30 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .google import * diff --git a/compressai/models/video/google.py b/compressai/models/video/google.py deleted file mode 100644 index 21f7dd3..0000000 --- a/compressai/models/video/google.py +++ /dev/null @@ -1,437 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import math - -from typing import List - -import torch -import torch.nn as nn -import torch.nn.functional as F - -from torch.cuda import amp - -from compressai.entropy_models import EntropyBottleneck, GaussianConditional -from compressai.layers import QReLU -from compressai.ops import quantize_ste -from compressai.registry import register_model - -from ..base import CompressionModel -from ..utils import conv, deconv, gaussian_blur, gaussian_kernel2d, meshgrid2d - - -@register_model("ssf2020") -class ScaleSpaceFlow(CompressionModel): - r"""Google's first end-to-end optimized video compression from E. - Agustsson, D. Minnen, N. Johnston, J. Balle, S. J. Hwang, G. Toderici: `"Scale-space flow for end-to-end - optimized video compression" `_, - IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020). - - Args: - num_levels (int): Number of Scale-space - sigma0 (float): standard deviation for gaussian kernel of the first space scale. - scale_field_shift (float): - """ - - def __init__( - self, - num_levels: int = 5, - sigma0: float = 1.5, - scale_field_shift: float = 1.0, - ): - super().__init__() - - class Encoder(nn.Sequential): - def __init__( - self, in_planes: int, mid_planes: int = 128, out_planes: int = 192 - ): - super().__init__( - conv(in_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - conv(mid_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - conv(mid_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - conv(mid_planes, out_planes, kernel_size=5, stride=2), - ) - - class Decoder(nn.Sequential): - def __init__( - self, out_planes: int, in_planes: int = 192, mid_planes: int = 128 - ): - super().__init__( - deconv(in_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - deconv(mid_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - deconv(mid_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - deconv(mid_planes, out_planes, kernel_size=5, stride=2), - ) - - class HyperEncoder(nn.Sequential): - def __init__( - self, in_planes: int = 192, mid_planes: int = 192, out_planes: int = 192 - ): - super().__init__( - conv(in_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - conv(mid_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - conv(mid_planes, mid_planes, kernel_size=5, stride=2), - ) - - class HyperDecoder(nn.Sequential): - def __init__( - self, in_planes: int = 192, mid_planes: int = 192, out_planes: int = 192 - ): - super().__init__( - deconv(in_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - deconv(mid_planes, mid_planes, kernel_size=5, stride=2), - nn.ReLU(inplace=True), - deconv(mid_planes, out_planes, kernel_size=5, stride=2), - ) - - class HyperDecoderWithQReLU(nn.Module): - def __init__( - self, in_planes: int = 192, mid_planes: int = 192, out_planes: int = 192 - ): - super().__init__() - - def qrelu(input, bit_depth=8, beta=100): - return QReLU.apply(input, bit_depth, beta) - - self.deconv1 = deconv(in_planes, mid_planes, kernel_size=5, stride=2) - self.qrelu1 = qrelu - self.deconv2 = deconv(mid_planes, mid_planes, kernel_size=5, stride=2) - self.qrelu2 = qrelu - self.deconv3 = deconv(mid_planes, out_planes, kernel_size=5, stride=2) - self.qrelu3 = qrelu - - def forward(self, x): - x = self.qrelu1(self.deconv1(x)) - x = self.qrelu2(self.deconv2(x)) - x = self.qrelu3(self.deconv3(x)) - - return x - - class Hyperprior(CompressionModel): - def __init__(self, planes: int = 192, mid_planes: int = 192): - super().__init__() - self.entropy_bottleneck = EntropyBottleneck(mid_planes) - self.hyper_encoder = HyperEncoder(planes, mid_planes, planes) - self.hyper_decoder_mean = HyperDecoder(planes, mid_planes, planes) - self.hyper_decoder_scale = HyperDecoderWithQReLU( - planes, mid_planes, planes - ) - self.gaussian_conditional = GaussianConditional(None) - - def forward(self, y): - z = self.hyper_encoder(y) - z_hat, z_likelihoods = self.entropy_bottleneck(z) - - scales = self.hyper_decoder_scale(z_hat) - means = self.hyper_decoder_mean(z_hat) - _, y_likelihoods = self.gaussian_conditional(y, scales, means) - y_hat = quantize_ste(y - means) + means - return y_hat, {"y": y_likelihoods, "z": z_likelihoods} - - def compress(self, y): - z = self.hyper_encoder(y) - - z_string = self.entropy_bottleneck.compress(z) - z_hat = self.entropy_bottleneck.decompress(z_string, z.size()[-2:]) - - scales = self.hyper_decoder_scale(z_hat) - means = self.hyper_decoder_mean(z_hat) - - indexes = self.gaussian_conditional.build_indexes(scales) - y_string = self.gaussian_conditional.compress(y, indexes, means) - y_hat = self.gaussian_conditional.quantize(y, "dequantize", means) - - return y_hat, {"strings": [y_string, z_string], "shape": z.size()[-2:]} - - def decompress(self, strings, shape): - assert isinstance(strings, list) and len(strings) == 2 - z_hat = self.entropy_bottleneck.decompress(strings[1], shape) - - scales = self.hyper_decoder_scale(z_hat) - means = self.hyper_decoder_mean(z_hat) - indexes = self.gaussian_conditional.build_indexes(scales) - y_hat = self.gaussian_conditional.decompress( - strings[0], indexes, z_hat.dtype, means - ) - - return y_hat - - self.img_encoder = Encoder(3) - self.img_decoder = Decoder(3) - self.img_hyperprior = Hyperprior() - - self.res_encoder = Encoder(3) - self.res_decoder = Decoder(3, in_planes=384) - self.res_hyperprior = Hyperprior() - - self.motion_encoder = Encoder(2 * 3) - self.motion_decoder = Decoder(2 + 1) - self.motion_hyperprior = Hyperprior() - - self.sigma0 = sigma0 - self.num_levels = num_levels - self.scale_field_shift = scale_field_shift - - def forward(self, frames): - if not isinstance(frames, List): - raise RuntimeError(f"Invalid number of frames: {len(frames)}.") - - reconstructions = [] - frames_likelihoods = [] - - x_hat, likelihoods = self.forward_keyframe(frames[0]) - reconstructions.append(x_hat) - frames_likelihoods.append(likelihoods) - x_ref = x_hat.detach() # stop gradient flow (cf: google2020 paper) - - for i in range(1, len(frames)): - x = frames[i] - x_ref, likelihoods = self.forward_inter(x, x_ref) - reconstructions.append(x_ref) - frames_likelihoods.append(likelihoods) - - return { - "x_hat": reconstructions, - "likelihoods": frames_likelihoods, - } - - def forward_keyframe(self, x): - y = self.img_encoder(x) - y_hat, likelihoods = self.img_hyperprior(y) - x_hat = self.img_decoder(y_hat) - return x_hat, {"keyframe": likelihoods} - - def encode_keyframe(self, x): - y = self.img_encoder(x) - y_hat, out_keyframe = self.img_hyperprior.compress(y) - x_hat = self.img_decoder(y_hat) - - return x_hat, out_keyframe - - def decode_keyframe(self, strings, shape): - y_hat = self.img_hyperprior.decompress(strings, shape) - x_hat = self.img_decoder(y_hat) - - return x_hat - - def forward_inter(self, x_cur, x_ref): - # encode the motion information - x = torch.cat((x_cur, x_ref), dim=1) - y_motion = self.motion_encoder(x) - y_motion_hat, motion_likelihoods = self.motion_hyperprior(y_motion) - - # decode the space-scale flow information - motion_info = self.motion_decoder(y_motion_hat) - x_pred = self.forward_prediction(x_ref, motion_info) - - # residual - x_res = x_cur - x_pred - y_res = self.res_encoder(x_res) - y_res_hat, res_likelihoods = self.res_hyperprior(y_res) - - # y_combine - y_combine = torch.cat((y_res_hat, y_motion_hat), dim=1) - x_res_hat = self.res_decoder(y_combine) - - # final reconstruction: prediction + residual - x_rec = x_pred + x_res_hat - - return x_rec, {"motion": motion_likelihoods, "residual": res_likelihoods} - - def encode_inter(self, x_cur, x_ref): - # encode the motion information - x = torch.cat((x_cur, x_ref), dim=1) - y_motion = self.motion_encoder(x) - y_motion_hat, out_motion = self.motion_hyperprior.compress(y_motion) - - # decode the space-scale flow information - motion_info = self.motion_decoder(y_motion_hat) - x_pred = self.forward_prediction(x_ref, motion_info) - - # residual - x_res = x_cur - x_pred - y_res = self.res_encoder(x_res) - y_res_hat, out_res = self.res_hyperprior.compress(y_res) - - # y_combine - y_combine = torch.cat((y_res_hat, y_motion_hat), dim=1) - x_res_hat = self.res_decoder(y_combine) - - # final reconstruction: prediction + residual - x_rec = x_pred + x_res_hat - - return x_rec, { - "strings": { - "motion": out_motion["strings"], - "residual": out_res["strings"], - }, - "shape": {"motion": out_motion["shape"], "residual": out_res["shape"]}, - } - - def decode_inter(self, x_ref, strings, shapes): - key = "motion" - y_motion_hat = self.motion_hyperprior.decompress(strings[key], shapes[key]) - - # decode the space-scale flow information - motion_info = self.motion_decoder(y_motion_hat) - x_pred = self.forward_prediction(x_ref, motion_info) - - # residual - key = "residual" - y_res_hat = self.res_hyperprior.decompress(strings[key], shapes[key]) - - # y_combine - y_combine = torch.cat((y_res_hat, y_motion_hat), dim=1) - x_res_hat = self.res_decoder(y_combine) - - # final reconstruction: prediction + residual - x_rec = x_pred + x_res_hat - - return x_rec - - @staticmethod - def gaussian_volume(x, sigma: float, num_levels: int): - """Efficient gaussian volume construction. - - From: "Generative Video Compression as Hierarchical Variational Inference", - by Yang et al. - """ - k = 2 * int(math.ceil(3 * sigma)) + 1 - device = x.device - dtype = x.dtype if torch.is_floating_point(x) else torch.float32 - - kernel = gaussian_kernel2d(k, sigma, device=device, dtype=dtype) - volume = [x.unsqueeze(2)] - x = gaussian_blur(x, kernel=kernel) - volume += [x.unsqueeze(2)] - for i in range(1, num_levels): - x = F.avg_pool2d(x, kernel_size=(2, 2), stride=(2, 2)) - x = gaussian_blur(x, kernel=kernel) - interp = x - for _ in range(0, i): - interp = F.interpolate( - interp, scale_factor=2, mode="bilinear", align_corners=False - ) - volume.append(interp.unsqueeze(2)) - return torch.cat(volume, dim=2) - - @amp.autocast(enabled=False) - def warp_volume(self, volume, flow, scale_field, padding_mode: str = "border"): - """3D volume warping.""" - if volume.ndimension() != 5: - raise ValueError( - f"Invalid number of dimensions for volume {volume.ndimension()}" - ) - - N, C, _, H, W = volume.size() - - grid = meshgrid2d(N, C, H, W, volume.device) - update_grid = grid + flow.permute(0, 2, 3, 1).float() - update_scale = scale_field.permute(0, 2, 3, 1).float() - volume_grid = torch.cat((update_grid, update_scale), dim=-1).unsqueeze(1) - - out = F.grid_sample( - volume.float(), volume_grid, padding_mode=padding_mode, align_corners=False - ) - return out.squeeze(2) - - def forward_prediction(self, x_ref, motion_info): - flow, scale_field = motion_info.chunk(2, dim=1) - - volume = self.gaussian_volume(x_ref, self.sigma0, self.num_levels) - x_pred = self.warp_volume(volume, flow, scale_field) - return x_pred - - def aux_loss(self): - """Return a list of the auxiliary entropy bottleneck over module(s).""" - - aux_loss_list = [] - for m in self.modules(): - if isinstance(m, CompressionModel) and m is not self: - aux_loss_list.append(m.aux_loss()) - - return aux_loss_list - - def compress(self, frames): - if not isinstance(frames, List): - raise RuntimeError(f"Invalid number of frames: {len(frames)}.") - - frame_strings = [] - shape_infos = [] - - x_ref, out_keyframe = self.encode_keyframe(frames[0]) - - frame_strings.append(out_keyframe["strings"]) - shape_infos.append(out_keyframe["shape"]) - - for i in range(1, len(frames)): - x = frames[i] - x_ref, out_interframe = self.encode_inter(x, x_ref) - - frame_strings.append(out_interframe["strings"]) - shape_infos.append(out_interframe["shape"]) - - return frame_strings, shape_infos - - def decompress(self, strings, shapes): - if not isinstance(strings, List) or not isinstance(shapes, List): - raise RuntimeError(f"Invalid number of frames: {len(strings)}.") - - assert len(strings) == len( - shapes - ), f"Number of information should match {len(strings)} != {len(shapes)}." - - dec_frames = [] - - x_ref = self.decode_keyframe(strings[0], shapes[0]) - dec_frames.append(x_ref) - - for i in range(1, len(strings)): - string = strings[i] - shape = shapes[i] - x_ref = self.decode_inter(x_ref, string, shape) - dec_frames.append(x_ref) - - return dec_frames - - @classmethod - def from_state_dict(cls, state_dict): - """Return a new model instance from `state_dict`.""" - net = cls() - net.load_state_dict(state_dict) - return net diff --git a/compressai/models/waseda.py b/compressai/models/waseda.py deleted file mode 100644 index 8fee47f..0000000 --- a/compressai/models/waseda.py +++ /dev/null @@ -1,156 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import torch.nn as nn - -from compressai.layers import ( - AttentionBlock, - ResidualBlock, - ResidualBlockUpsample, - ResidualBlockWithStride, - conv3x3, - subpel_conv3x3, -) -from compressai.registry import register_model - -from .google import JointAutoregressiveHierarchicalPriors - - -@register_model("cheng2020-anchor") -class Cheng2020Anchor(JointAutoregressiveHierarchicalPriors): - """Anchor model variant from `"Learned Image Compression with - Discretized Gaussian Mixture Likelihoods and Attention Modules" - `_, by Zhengxue Cheng, Heming Sun, Masaru - Takeuchi, Jiro Katto. - - Uses residual blocks with small convolutions (3x3 and 1x1), and sub-pixel - convolutions for up-sampling. - - Args: - N (int): Number of channels - """ - - def __init__(self, N=192, **kwargs): - super().__init__(N=N, M=N, **kwargs) - - self.g_a = nn.Sequential( - ResidualBlockWithStride(3, N, stride=2), - ResidualBlock(N, N), - ResidualBlockWithStride(N, N, stride=2), - ResidualBlock(N, N), - ResidualBlockWithStride(N, N, stride=2), - ResidualBlock(N, N), - conv3x3(N, N, stride=2), - ) - - self.h_a = nn.Sequential( - conv3x3(N, N), - nn.LeakyReLU(inplace=True), - conv3x3(N, N), - nn.LeakyReLU(inplace=True), - conv3x3(N, N, stride=2), - nn.LeakyReLU(inplace=True), - conv3x3(N, N), - nn.LeakyReLU(inplace=True), - conv3x3(N, N, stride=2), - ) - - self.h_s = nn.Sequential( - conv3x3(N, N), - nn.LeakyReLU(inplace=True), - subpel_conv3x3(N, N, 2), - nn.LeakyReLU(inplace=True), - conv3x3(N, N * 3 // 2), - nn.LeakyReLU(inplace=True), - subpel_conv3x3(N * 3 // 2, N * 3 // 2, 2), - nn.LeakyReLU(inplace=True), - conv3x3(N * 3 // 2, N * 2), - ) - - self.g_s = nn.Sequential( - ResidualBlock(N, N), - ResidualBlockUpsample(N, N, 2), - ResidualBlock(N, N), - ResidualBlockUpsample(N, N, 2), - ResidualBlock(N, N), - ResidualBlockUpsample(N, N, 2), - ResidualBlock(N, N), - subpel_conv3x3(N, 3, 2), - ) - - @classmethod - def from_state_dict(cls, state_dict): - """Return a new model instance from `state_dict`.""" - N = state_dict["g_a.0.conv1.weight"].size(0) - net = cls(N) - net.load_state_dict(state_dict) - return net - - -@register_model("cheng2020-attn") -class Cheng2020Attention(Cheng2020Anchor): - """Self-attention model variant from `"Learned Image Compression with - Discretized Gaussian Mixture Likelihoods and Attention Modules" - `_, by Zhengxue Cheng, Heming Sun, Masaru - Takeuchi, Jiro Katto. - - Uses self-attention, residual blocks with small convolutions (3x3 and 1x1), - and sub-pixel convolutions for up-sampling. - - Args: - N (int): Number of channels - """ - - def __init__(self, N=192, **kwargs): - super().__init__(N=N, **kwargs) - - self.g_a = nn.Sequential( - ResidualBlockWithStride(3, N, stride=2), - ResidualBlock(N, N), - ResidualBlockWithStride(N, N, stride=2), - AttentionBlock(N), - ResidualBlock(N, N), - ResidualBlockWithStride(N, N, stride=2), - ResidualBlock(N, N), - conv3x3(N, N, stride=2), - AttentionBlock(N), - ) - - self.g_s = nn.Sequential( - AttentionBlock(N), - ResidualBlock(N, N), - ResidualBlockUpsample(N, N, 2), - ResidualBlock(N, N), - ResidualBlockUpsample(N, N, 2), - AttentionBlock(N), - ResidualBlock(N, N), - ResidualBlockUpsample(N, N, 2), - ResidualBlock(N, N), - subpel_conv3x3(N, 3, 2), - ) diff --git a/compressai/ops/__init__.py b/compressai/ops/__init__.py index 7c9c8cd..7cb025f 100644 --- a/compressai/ops/__init__.py +++ b/compressai/ops/__init__.py @@ -1,40 +1,7 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .bound_ops import LowerBound, RangeBound -from .ops import compute_padding, quantize_ste -from .parametrizers import NonNegativeParametrizer +from .bound_ops import RangeBound +from .ops import compute_padding_1d __all__ = [ - "compute_padding", - "quantize_ste", - "LowerBound", - "NonNegativeParametrizer", + "compute_padding_1d", "RangeBound", ] diff --git a/compressai/ops/bound_ops.py b/compressai/ops/bound_ops.py index 0e4a1ae..9026e39 100644 --- a/compressai/ops/bound_ops.py +++ b/compressai/ops/bound_ops.py @@ -1,90 +1,12 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - import math - from functools import reduce from typing import Optional import torch import torch.nn as nn - from torch import Tensor -def lower_bound_fwd(x: Tensor, bound: Tensor) -> Tensor: - return torch.max(x, bound) - - -def lower_bound_bwd(x: Tensor, bound: Tensor, grad_output: Tensor): - pass_through_if = (x >= bound) | (grad_output < 0) - return pass_through_if * grad_output, None - - -class LowerBoundFunction(torch.autograd.Function): - """Autograd function for the `LowerBound` operator.""" - - @staticmethod - def forward(ctx, x, bound): - ctx.save_for_backward(x, bound) - return lower_bound_fwd(x, bound) - - @staticmethod - def backward(ctx, grad_output): - x, bound = ctx.saved_tensors - return lower_bound_bwd(x, bound, grad_output) - - -class LowerBound(nn.Module): - """Lower bound operator, computes `torch.max(x, bound)` with a custom - gradient. - - The derivative is replaced by the identity function when `x` is moved - towards the `bound`, otherwise the gradient is kept to zero. - """ - - bound: Tensor - - def __init__(self, bound: float): - super().__init__() - self.register_buffer("bound", torch.Tensor([float(bound)])) - - @torch.jit.unused - def lower_bound(self, x): - return LowerBoundFunction.apply(x, self.bound) - - def forward(self, x): - if torch.jit.is_scripting(): - return torch.max(x, self.bound) - return self.lower_bound(x) - - class RangeBoundFunction(torch.autograd.Function): """Autograd function for the ``RangeBound`` operator.""" diff --git a/compressai/ops/ops.py b/compressai/ops/ops.py index ec4c89d..219b3d7 100644 --- a/compressai/ops/ops.py +++ b/compressai/ops/ops.py @@ -1,37 +1,3 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import torch - -from torch import Tensor - - def compute_padding_1d(in_: int, *, out_=None, min_div=1): """Returns tuples for padding and unpadding. @@ -53,51 +19,3 @@ def compute_padding_1d(in_: int, *, out_=None, min_div=1): unpad = (-left, -right) return pad, unpad - - -def compute_padding(in_h: int, in_w: int, *, out_h=None, out_w=None, min_div=1): - """Returns tuples for padding and unpadding. - - Args: - in_h: Input height. - in_w: Input width. - out_h: Output height. - out_w: Output width. - min_div: Length that output dimensions should be divisible by. - """ - if out_h is None: - out_h = (in_h + min_div - 1) // min_div * min_div - if out_w is None: - out_w = (in_w + min_div - 1) // min_div * min_div - - if out_h % min_div != 0 or out_w % min_div != 0: - raise ValueError( - f"Padded output height and width are not divisible by min_div={min_div}." - ) - - left = (out_w - in_w) // 2 - right = out_w - in_w - left - top = (out_h - in_h) // 2 - bottom = out_h - in_h - top - - pad = (left, right, top, bottom) - unpad = (-left, -right, -top, -bottom) - - return pad, unpad - - -def quantize_ste(x: Tensor) -> Tensor: - """ - Rounding with non-zero gradients. Gradients are approximated by replacing - the derivative by the identity function. - - Used in `"Lossy Image Compression with Compressive Autoencoders" - `_ - - .. note:: - - Implemented with the pytorch `detach()` reparametrization trick: - - `x_round = x_round - x.detach() + x` - """ - return (torch.round(x) - x).detach() + x diff --git a/compressai/ops/parametrizers.py b/compressai/ops/parametrizers.py deleted file mode 100644 index 45b06c5..0000000 --- a/compressai/ops/parametrizers.py +++ /dev/null @@ -1,64 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import torch -import torch.nn as nn - -from torch import Tensor - -from .bound_ops import LowerBound - - -class NonNegativeParametrizer(nn.Module): - """ - Non negative reparametrization. - - Used for stability during training. - """ - - pedestal: Tensor - - def __init__(self, minimum: float = 0, reparam_offset: float = 2**-18): - super().__init__() - - self.minimum = float(minimum) - self.reparam_offset = float(reparam_offset) - - pedestal = self.reparam_offset**2 - self.register_buffer("pedestal", torch.Tensor([pedestal])) - bound = (self.minimum + self.reparam_offset**2) ** 0.5 - self.lower_bound = LowerBound(bound) - - def init(self, x: Tensor) -> Tensor: - return torch.sqrt(torch.max(x + self.pedestal, self.pedestal)) - - def forward(self, x: Tensor) -> Tensor: - out = self.lower_bound(x) - out = out**2 - self.pedestal - return out diff --git a/compressai/registry/__init__.py b/compressai/registry/__init__.py deleted file mode 100644 index a9aa8b2..0000000 --- a/compressai/registry/__init__.py +++ /dev/null @@ -1,60 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .torch import ( - CRITERIONS, - DATASETS, - MODELS, - MODULES, - OPTIMIZERS, - SCHEDULERS, - register_criterion, - register_dataset, - register_model, - register_module, - register_optimizer, - register_scheduler, -) -from .torchvision import TRANSFORMS - -__all__ = [ - "CRITERIONS", - "DATASETS", - "MODELS", - "MODULES", - "OPTIMIZERS", - "SCHEDULERS", - "TRANSFORMS", - "register_criterion", - "register_dataset", - "register_model", - "register_module", - "register_optimizer", - "register_scheduler", -] diff --git a/compressai/registry/torch.py b/compressai/registry/torch.py deleted file mode 100644 index 1c6d006..0000000 --- a/compressai/registry/torch.py +++ /dev/null @@ -1,120 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Callable, Dict, Type, TypeVar - -from torch import optim -from torch.optim import lr_scheduler - -from compressai.typing import ( - TCriterion, - TDataset, - TModel, - TModule, - TOptimizer, - TScheduler, -) - -CRITERIONS: Dict[str, Callable[..., TCriterion]] = {} -DATASETS: Dict[str, Callable[..., TDataset]] = {} -MODELS: Dict[str, Callable[..., TModel]] = {} -MODULES: Dict[str, Callable[..., TModule]] = {} -OPTIMIZERS: Dict[str, Callable[..., TOptimizer]] = { - k: v for k, v in optim.__dict__.items() if k[0].isupper() -} -SCHEDULERS: Dict[str, Callable[..., TScheduler]] = { - k: v for k, v in lr_scheduler.__dict__.items() if k[0].isupper() -} - -TCriterion_b = TypeVar("TCriterion_b", bound=TCriterion) -TDataset_b = TypeVar("TDataset_b", bound=TDataset) -TModel_b = TypeVar("TModel_b", bound=TModel) -TModule_b = TypeVar("TModule_b", bound=TModule) -TOptimizer_b = TypeVar("TOptimizer_b", bound=TOptimizer) -TScheduler_b = TypeVar("TScheduler_b", bound=TScheduler) - - -def register_criterion(name: str): - """Decorator for registering a criterion.""" - - def decorator(cls: Type[TCriterion_b]) -> Type[TCriterion_b]: - CRITERIONS[name] = cls - return cls - - return decorator - - -def register_dataset(name: str): - """Decorator for registering a dataset.""" - - def decorator(cls: Type[TDataset_b]) -> Type[TDataset_b]: - DATASETS[name] = cls - return cls - - return decorator - - -def register_model(name: str): - """Decorator for registering a model.""" - - def decorator(cls: Type[TModel_b]) -> Type[TModel_b]: - MODELS[name] = cls - return cls - - return decorator - - -def register_module(name: str): - """Decorator for registering a module.""" - - def decorator(cls: Type[TModule_b]) -> Type[TModule_b]: - MODULES[name] = cls - return cls - - return decorator - - -def register_optimizer(name: str): - """Decorator for registering a optimizer.""" - - def decorator(cls: Callable[..., TOptimizer_b]) -> Callable[..., TOptimizer_b]: - OPTIMIZERS[name] = cls - return cls - - return decorator - - -def register_scheduler(name: str): - """Decorator for registering a scheduler.""" - - def decorator(cls: Type[TScheduler_b]) -> Type[TScheduler_b]: - SCHEDULERS[name] = cls - return cls - - return decorator diff --git a/compressai/registry/torchvision.py b/compressai/registry/torchvision.py deleted file mode 100644 index c3c57d7..0000000 --- a/compressai/registry/torchvision.py +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Callable, Dict - -from torchvision import transforms - -TRANSFORMS: Dict[str, Callable[..., Callable]] = { - k: v for k, v in transforms.__dict__.items() if k[0].isupper() -} diff --git a/compressai/sadl_codec/CMakeLists.txt b/compressai/sadl_codec/CMakeLists.txt deleted file mode 100644 index 286b656..0000000 --- a/compressai/sadl_codec/CMakeLists.txt +++ /dev/null @@ -1,47 +0,0 @@ -cmake_minimum_required(VERSION 3.5) - -project(sadl_codec LANGUAGES CXX) - -set(CMAKE_CXX_STANDARD 17) -set(CMAKE_CXX_STANDARD_REQUIRED ON) -set(CMAKE_CXX_FLAGS "-O3 -ffast-math -Wall -fstrict-aliasing -DNDEBUG=1 -Wno-unused-function") -file(GLOB SADL_FILES ../../sadl/sadl/*.h ) - -# note: model_cdfs.h and model_float/int16.h are generated by scripts and not included in the repository -include_directories(../../sadl) -include_directories(../../third_party/range_coder) -set(RANGE_CODER_FILES ../../third_party/range_coder/range_coder_impl.cpp ../../third_party/range_coder/range_coder_impl.h) -set(COMMON_FILES common.h model_cdfs.h range_coder.cpp range_coder.h ${RANGE_CODER_FILES} ${SADL_FILES} ) - -set(DECODER_FILES decoder_generic.h ${COMMON_FILES} ) -set(ENCODER_FILES encoder_generic.h ${COMMON_FILES} rdoq.h) - -add_executable(decoder_sadl_float_generic decoder_float.h decoder_float.cpp ${DECODER_FILES}) -add_executable(decoder_sadl_float_simd512 decoder_float.h decoder_float.cpp ${DECODER_FILES}) - -add_executable(encoder_sadl_float_simd512 encoder_float.cpp decoder_float.h ${ENCODER_FILES}) -add_executable(encoder_sadl_float_generic encoder_float.cpp decoder_float.h ${ENCODER_FILES}) - -add_executable(extract_cdf extract_cdf.cpp ) - - -target_link_libraries(encoder_sadl_float_simd512 pthread) -target_link_libraries(encoder_sadl_float_generic pthread) -# adjust SIMD level here: nothing: scalar, sse41, avx2, avx512, fma -set_target_properties(decoder_sadl_float_simd512 PROPERTIES COMPILE_FLAGS "-mavx512bw -mavx512f " ) -set_target_properties(encoder_sadl_float_simd512 PROPERTIES COMPILE_FLAGS "-mavx512bw -mavx512f " ) - - -# int16 - -add_executable(decoder_sadl_int16_generic decoder_int16.h decoder_int16.cpp ${DECODER_FILES}) -add_executable(decoder_sadl_int16_simd512 decoder_int16.h decoder_int16.cpp ${DECODER_FILES}) -add_executable(encoder_sadl_int16_simd512 encoder_int16.cpp decoder_int16.h ${ENCODER_FILES}) -add_executable(encoder_sadl_int16_generic encoder_int16.cpp decoder_int16.h ${ENCODER_FILES}) -target_link_libraries(encoder_sadl_int16_simd512 pthread) -target_link_libraries(encoder_sadl_int16_generic pthread) -set_target_properties(decoder_sadl_int16_simd512 PROPERTIES COMPILE_FLAGS "-mavx512bw -mavx512f " ) -set_target_properties(encoder_sadl_int16_simd512 PROPERTIES COMPILE_FLAGS "-mavx512bw -mavx512f " ) - - - diff --git a/compressai/sadl_codec/common.h b/compressai/sadl_codec/common.h deleted file mode 100644 index df70709..0000000 --- a/compressai/sadl_codec/common.h +++ /dev/null @@ -1,110 +0,0 @@ -#pragma once -#include -#include -#include -#include -#include "range_coder.h" - -using Size = std::array; // h w : uint16_t because use to write header -struct Image { - Size size; - std::vector data_; - uint8_t operator()(int i, int j, int k) const { return data_[3 * (i * size[1] + j) + k]; } - uint8_t &operator()(int i, int j, int k) { return data_[3 * (i * size[1] + j) + k]; } -}; - -template int clip(int m, int M, T x) { - if (x < m) - return 0; - if (x > M) - return M; - return (int)x; -} - -Image toImage(const sadl::Tensor &t, Size s) { - Image im; - constexpr float f = 255.f; - im.size = s; - im.data_.resize(im.size[0] * im.size[1] * 3); - for (int i = 0; i < s[0]; ++i) - for (int j = 0; j < s[1]; ++j) { - for (int k = 0; k < 3; ++k) - im(i, j, k) = clip(0, 255, round(f * t(0, i, j, k))); - } - return im; -} - -Image toImage(const sadl::Tensor &t, Size s) { - Image im; - const int shift = t.quantizer - 8; - im.size = s; - im.data_.resize(im.size[0] * im.size[1] * 3); - for (int i = 0; i < s[0]; ++i) - for (int j = 0; j < s[1]; ++j) { - for (int k = 0; k < 3; ++k) - im(i, j, k) = clip(0, 255, (t(0, i, j, k) >> shift)); - } - return im; -} - -void savePPM(const Image &im, const std::string &filename) { - std::ofstream file(filename, std::ios::binary); - file << "P6\n" << im.size[1] << ' ' << im.size[0] << "\n255\n"; - file.write((const char *)im.data_.data(), im.data_.size()); -} - -sadl::Model loadDecoder() { - sadl::Model model; - std::istringstream file_model(std::string((const char *)decoderSadl, sizeof(decoderSadl)), std::ios::binary); - - if (!model.load(file_model)) { - std::cerr << "[ERROR] Unable to read model " << std::endl; - exit(-1); - } - return model; -} - -const Cdf &getCdf(const sadl::Tensor &t, int k, int kprev, int i, int j) { - const Cdf &cdf = kCdfs[k][getContext(t, k, kprev, i, j)]; - return cdf; -} - -const Cdf &getCdf(const sadl::Tensor &t, int k, int kprev, int i, int j) { - const Cdf &cdf = kCdfs[k][getContext(t, k, kprev, i, j)]; - return cdf; -} - - -void offsetValue(float &x,int c) { - constexpr float Q=(1<>s); // add back -} - - -void offsetLatent(sadl::Tensor &t) { - auto dims = t.dims(); - constexpr float Q=(1< &t) { - auto dims = t.dims(); - constexpr int s=kMeansQuantizerShift-kInputQuantizerShift; - t.quantizer=kInputQuantizerShift; - for (int i = 0; i < dims[1]; ++i) - for (int j = 0; j < dims[2]; ++j) { - for (int k = 0; k < dims[3]; ++k) { - t(0, i, j, k) = (t(0, i, j, k)<>s); // add back - } - } -} diff --git a/compressai/sadl_codec/dataset2latent.py b/compressai/sadl_codec/dataset2latent.py deleted file mode 100755 index d51df71..0000000 --- a/compressai/sadl_codec/dataset2latent.py +++ /dev/null @@ -1,142 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import argparse -import sys - -from os.path import exists - -import numpy as np -import torch - -max_val_abs = 32767 -max_proba = 65536 -min_cdf_bound = 2 - - -def parse_args(argv): - parser = argparse.ArgumentParser(description="extract latent from dataset") - parser.add_argument("--model", type=str, required=True, help="model pth") - parser.add_argument("--input", type=str, required=True, help="npy batch") - parser.add_argument( - "--nb_max", type=int, help="max latent to generate (all if not set)" - ) - parser.add_argument( - "--float_NHWC", - action="store_true", - help="store in float format SADL compatible", - ) - parser.add_argument( - "--output", type=str, required=True, help="tensor in binary format int16" - ) - parser.add_argument("--verbose", action="store_true", help="verbose") - args = parser.parse_args(argv) - return args - - -def main(argv): # noqa: C901 - args = parse_args(argv) - - print("[INFO] read checkpoint: ", args.model) - checkpoint = torch.load(args.model, map_location="cpu") - - if args.verbose: - for i, _k in checkpoint.items(): - print(i) - - autoencoder = checkpoint["model"] - - encoder = autoencoder.g_a - - if args.verbose: - print("[INFO] encoder: {}".format(encoder)) - - block_size = [256, 256] - - data: np.ndarray = np.memmap(args.input, mode="r", dtype="uint8") - data = data.reshape((-1, block_size[0], block_size[1], 3)) - print("[INFO] training shape={}".format(data.shape)) - # get info with one run - x1 = np.transpose(data[0], (2, 1, 0)).copy().astype("float32") / 255.0 - x1 = torch.tensor(x1) - y_encode = encoder(x1.unsqueeze(0)) - y_encode = torch.round(y_encode) - y_encode_int = y_encode.int() - C = y_encode_int.shape[1] - H = y_encode_int.shape[2] - W = y_encode_int.shape[3] - N = data.shape[0] - - if args.nb_max is not None: - N = args.nb_max - - if args.float_NHWC: - outputs: np.ndarray = np.memmap( - args.output, mode="w+", dtype="float32", shape=(N, H, W, C) - ) - else: - outputs: np.ndarray = np.memmap( - args.output, mode="w+", dtype="int16", shape=(N, C, H, W) - ) - - if exists(args.output + ".means"): - m = np.fromfile(args.output + ".means", dtype="float32") - else: - m = np.zeros(C, dtype=float) - for i in range(N): - x1 = np.transpose(data[i], (2, 1, 0)).copy().astype("float32") / 255.0 - x1 = torch.tensor(x1) - y_encode = encoder(x1.unsqueeze(0)) - m += np.mean(y_encode.cpu().detach().numpy(), (0, 2, 3)) - m /= N - - m = m.reshape(1, C, 1, 1) - m_tensor = np.ones((1, C, H, W), dtype="float32") * m - - for i in range(N): - x1 = np.transpose(data[i], (2, 1, 0)).copy().astype("float32") / 255.0 - x1 = torch.tensor(x1) - y_encode = encoder(x1.unsqueeze(0)) - y_encode = np.round(y_encode.cpu().detach().numpy() - m_tensor) - if args.float_NHWC: - outputs[i] = np.transpose(y_encode.astype("float32"), (0, 2, 3, 1)) - else: - # y_encode_int = y_encode.int() - outputs[i] = y_encode.astype("int16") - if args.verbose: - sys.stdout.write("\r{}% ".format(int(100.0 * i / N))) - sys.stdout.flush() - - print("[INFO] wrote {}".format(args.output)) - if not exists(args.output + ".means"): - m.astype("float32").tofile(args.output + ".means") - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/compressai/sadl_codec/decoder_float.cpp b/compressai/sadl_codec/decoder_float.cpp deleted file mode 100644 index 89ef072..0000000 --- a/compressai/sadl_codec/decoder_float.cpp +++ /dev/null @@ -1,33 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ - -#include "decoder_float.h" -using Type = float; -#include "decoder_generic.h" diff --git a/compressai/sadl_codec/decoder_float.h b/compressai/sadl_codec/decoder_float.h deleted file mode 100644 index e69de29..0000000 diff --git a/compressai/sadl_codec/decoder_generic.h b/compressai/sadl_codec/decoder_generic.h deleted file mode 100644 index d068bc0..0000000 --- a/compressai/sadl_codec/decoder_generic.h +++ /dev/null @@ -1,220 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ - -#include -#include -//#define DEBUG_VALUES 1 // show values -//#define DEBUG_MODEL 1 // show pb with model -//#define DEBUG_COUNTERS 1 // print overflow, MAC etc. -//#define DEBUG_PRINT 1 // print model info -#include "model_cdfs.h" -#include "common.h" -#include "range_coder.h" -#include -#include -#include - -int verbose = 1; -using namespace std; - -namespace { // - -// file format -// SADLE2E01 -// W [uint16] image width -// H [uint16] image height -// D [uint16] depth latent -// C [uint6] downsampling factor -// T [uint2] 0:uncompressed, 1: cdfs -// channelactivation [C bits entropy coding] -// W*H*D [float|int16] -template std::tuple, Size> decompressTensor(const std::string &filename) { - ifstream file(filename, ios::binary); - if (!file) { - cerr << "[ERROR] no bitstream file " << filename << endl; - exit(-1); - } - char magic[10]; - file.read(magic, 9); - magic[9] = '\0'; - std::string magic_s = magic; - if (magic_s != "SADLE2E01") { - cout << "[ERROR] bad magic number for " << filename << endl; - exit(-1); - } - uint16_t s[3]; - file.read((char *)s, sizeof(uint16_t) * 3); - uint8_t tempo; - file.read((char *)&tempo, sizeof(tempo)); - uint8_t down = (tempo >> 2); - Size size = {s[1], s[0]}; - // deduce tensor size - const int padding = (1 << down); - s[0] = (((size[0] + padding - 1) / padding) * padding) >> down; - s[1] = (((size[1] + padding - 1) / padding) * padding) >> down; - - uint8_t mode = (tempo & 3); - if (verbose) - std::cout << "[INFO] down: " << (int)down << ", mode=" << (mode == 0 ? "uncompressed" : (mode == 1 ? "entropy" : "cond_entropy")) - << endl - << "[INFO] image HxW:" << size[0] << 'x' << size[1] << "\n[INFO] tensor: {" << s[0] << ',' << s[1] << ',' << s[2] << "}" - << endl; - - sadl::Tensor t; - sadl::Dimensions dims; - dims.resize(4); - dims[0] = 1; - dims[1] = s[0]; - dims[2] = s[1]; - dims[3] = s[2]; - t.resize(dims); - // tempo - if (mode == 0) { - if (verbose) { - cout << "[INFO] uncompressed tensor read" << endl; - } - file.read((char *)t.data(), t.dims().nbElements() * sizeof(int16_t)); - } - if (mode == 1 ) { - if (verbose) { - cout << "[INFO] compressed tensor read" << endl; - } - - RangeDecoder dec; - std::vector channel_activation; - channel_activation.resize(s[2]); - Cdf channel_cdf; - channel_cdf.min_val = 0; - channel_cdf.max_val = 2; - channel_cdf.cproba.resize(3); - channel_cdf.cproba[0] = 0; - channel_cdf.cproba[2] = (1 << Cdf::precision); - for (int k = 0; k < dims[3]; ++k) { - channel_cdf.cproba[1] = (1 << Cdf::precision) - kChannelsProba[k]; - channel_activation[k] = dec.decode(file, channel_cdf); - } - - int kprev = -1; - for (int k0 = 0; k0 < dims[3]; ++k0) { - int k = kOrder[k0]; // default - if (channel_activation[k]) { - for (int i = 0; i < dims[1]; ++i) - for (int j = 0; j < dims[2]; ++j) { - int x; - if (mode == 1) { - const auto &cdf = getCdf(t, k, kprev, i, j); - x = dec.decode(file, cdf); - } - assert(x >= std::numeric_limits::min()); - assert(x <= std::numeric_limits::max()); - t(0, i, j, k) = x; - } - } else { - for (int i = 0; i < dims[1]; ++i) - for (int j = 0; j < dims[2]; ++j) { - t(0, i, j, k) = kCdfs[k][0].probable; - } - } - kprev = k; - } - } else { - } - if (verbose) { - cout << "[INFO] input tensor " << t.dims() << endl; - } - if constexpr (is_same::value) { - t.quantizer=kInputQuantizerShift; - for (int i = 0; i < dims[1]; ++i) - for (int j = 0; j < dims[2]; ++j) - for (int k = 0; k < dims[3]; ++k) - t(0, i, j, k) = (t(0, i, j, k)<>(kMeansQuantizerShift-kInputQuantizerShift)); // todo: take into account quantizer - return {t, size}; - } else if constexpr (is_same::value) { - sadl::Tensor t2; - t2.resize(t.dims()); - constexpr float Q=(1< decode(sadl::Model &model, sadl::Tensor &t) { - std::vector> inputs; - inputs.resize(1); - - inputs[0] = std::move(t); - if (!model.init(inputs)) { - cerr << "[ERROR] Pb init" << endl; - exit(-1); - } - chrono::steady_clock::time_point t1 = chrono::steady_clock::now(); - // inputs already shifted with mean_offset - if (!model.apply(inputs)) { - cerr << "[ERROR] Pb inference" << endl; - exit(-1); - } - chrono::steady_clock::time_point t2 = chrono::steady_clock::now(); - chrono::duration cold = chrono::duration_cast>(t2 - t1); - if (verbose) { - std::cout << "[INFO] decompress in " << cold.count() * 1000. << " ms" << endl; - } - - if (verbose) { - cout << "[INFO] output tensor " << model.result().dims() << endl; - } - return model.result(); -} - -} // namespace - -int main(int argc, char **argv) { - - if (argc != 3) { - cout << argv[0] << " bitstream.bin image.ppm" << endl; - return 0; - } - const string filename_bs = argv[1]; - const string filename_out = argv[2]; - auto [t, size] = decompressTensor(filename_bs); - auto model = loadDecoder(); - assert(model.getInputsTemplate()[0].quantizer==kInputQuantizerShift); - auto out = decode(model, t); - auto im = toImage(out, size); - savePPM(im, filename_out); - std::uintmax_t bssize = std::filesystem::file_size(filename_bs); - int nb_pix = im.size[0] * im.size[1]; - cout << " bpp=" << (double)bssize * 8. / nb_pix << std::endl; - return 0; -} diff --git a/compressai/sadl_codec/decoder_int16.cpp b/compressai/sadl_codec/decoder_int16.cpp deleted file mode 100644 index 13cf8a6..0000000 --- a/compressai/sadl_codec/decoder_int16.cpp +++ /dev/null @@ -1,34 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ - -#include "decoder_int16.h" -#include -using Type = int16_t; -#include "decoder_generic.h" diff --git a/compressai/sadl_codec/decoder_int16.h b/compressai/sadl_codec/decoder_int16.h deleted file mode 100644 index e69de29..0000000 diff --git a/compressai/sadl_codec/encoder_float.cpp b/compressai/sadl_codec/encoder_float.cpp deleted file mode 100644 index da7186f..0000000 --- a/compressai/sadl_codec/encoder_float.cpp +++ /dev/null @@ -1,35 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ - -#include "decoder_float.h" -#include "encoder_float.h" -#include -using Type = float; -#include "encoder_generic.h" diff --git a/compressai/sadl_codec/encoder_float.h b/compressai/sadl_codec/encoder_float.h deleted file mode 100644 index e69de29..0000000 diff --git a/compressai/sadl_codec/encoder_generic.h b/compressai/sadl_codec/encoder_generic.h deleted file mode 100644 index 07297ed..0000000 --- a/compressai/sadl_codec/encoder_generic.h +++ /dev/null @@ -1,355 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ -#include "range_coder.h" -#include -#include -#include -#include -#include -#include -#include -#include - -const int verbose = 1; -using LatentType = int16_t; - -#include "model_cdfs.h" -#include "common.h" -#include "rdoq.h" - -sadl::Tensor asInt16(const sadl::Tensor &t) { - sadl::Tensor t2; - t2.resize(t.dims()); - for (int k = 0; k < t.size(); ++k) - t2[k] = (int)round(t[k]); - return t2; -} - -using namespace std; - -constexpr int kMaxImageSize = 8192; - -CodecProperties getProperties(const sadl::Model & /*model*/) { - CodecProperties p; - // TODO - p.down = 4; - p.receiptive_field = 30; // to check - p.lambda = 0.0130; - return p; -} - -std::vector computeChannelActivation(const sadl::Tensor &t) { - std::vector v; - v.resize(t.dims()[3], 0); - for (int k = 0; k < t.dims()[3]; ++k) { - const int mean = kCdfs[k][0].probable; - char x = 0; - for (int i = 0; i < t.dims()[1]; ++i) - for (int j = 0; j < t.dims()[2]; ++j) - if (t(0, i, j, k) != mean) { - x = 1; - break; - } - v[k] = x; - } - return v; -} - -std::string compress(const sadl::Tensor &t, Size size) { - ostringstream oss; - RangeCoder re; - std::vector channel_activation = computeChannelActivation(t); - if (kNbChannels > 0) { - Cdf channel_cdf; - channel_cdf.min_val = 0; - channel_cdf.max_val = 2; - channel_cdf.cproba.resize(3); - channel_cdf.cproba[0] = 0; - channel_cdf.cproba[2] = (1 << Cdf::precision); - for (int k = 0; k < t.dims()[3]; ++k) { - channel_cdf.cproba[1] = (1 << Cdf::precision) - kChannelsProba[k]; - re.encode((int)channel_activation[k], channel_cdf, oss); - } - if (verbose) - std::cout << "[INFO] header activation: " << 8 * oss.str().size() << " bytes" << std::endl; - } else { - std::fill(channel_activation.begin(), channel_activation.end(), 1); - if (verbose) - std::cout << "[INFO] no header acitvation" << endl; - } - int kprev = -1; - for (int k0 = 0; k0 < t.dims()[3]; ++k0) { - int k = kOrder[k0]; - if (channel_activation[k]) { - for (int i = 0; i < t.dims()[1]; ++i) - for (int j = 0; j < t.dims()[2]; ++j) { - const Cdf &cdf = getCdf(t, k, kprev, i, j); - int v = t(0, i, j, k); - if (v <= cdf.min_val || v >= cdf.max_val) { - cout << "[WARNING] value out of range: " << v << " [" << cdf.min_val << ' ' << cdf.max_val << "]" << endl; - v = max(cdf.min_val + 1, min(cdf.max_val - 1, v)); // exit(-1); - } - re.encode(v, cdf, oss); - } - } - kprev = k; - } - re.finalize(oss); - if (verbose) { - std::cout << "[INFO] entropy=" << re.entropy << " bits, " << re.entropy / 8. << " bytes => " << re.entropy / (size[0] * size[1]) - << " bpp" << endl; - } - return oss.str(); -} - -// file format -// SADLE2E01 -// W [uint16] image width -// H [uint16] image height -// D [uint16] depth latent -// C [uint6] downsampling factor -// T [uint2] 0:uncompressed, 1: compressed, 2: cond cdfs -// channelactivation [C bits entropy coding] -// W*H*D [float|int16] -void compressTensor(const std::string &filename, const sadl::Tensor &t, Size size, int mode) { - ofstream file(filename, ios::binary); - if (!file) { - cerr << "[ERROR] unable to open bitstream " << filename << endl; - exit(-1); - } - char magic[10] = "SADLE2E01"; - magic[9] = '\0'; - file.write((const char *)magic, 9); - uint16_t s[3] = {size[1] /* width */, size[0] /* height */, (uint16_t)t.dims()[3]}; - file.write((const char *)s, sizeof(uint16_t) * 3); - uint8_t down = 0; - while (down < (63) && (t.dims()[1] << down) < s[0] && (t.dims()[2] << down) < s[1]) - ++down; - uint8_t type = mode; - uint8_t tempo = (down << 2) | type; - file.write((const char *)&tempo, sizeof(tempo)); - - if (verbose) - cout << "[INFO] mode=" << (mode == 0 ? "uncompressed" : "cond_entropy") << endl - << "[INFO] downsampling: " << (int)down << ", type=" << (int)type << endl - << "[INFO] input tensor " << t.size() * sizeof(int16_t) << " bytes " << t.dims() << endl - << "[INFO] image: " << size[0] << ',' << size[1] << " => downsampling " << (int)down << endl; - if (mode > 0) { - if (kNbCdfs != t.dims()[3]) { - cout << "[ERROR] cdfs size != tensor depth " << endl; - exit(-1); - } - auto s = compress(t, size); - if (verbose) - cout << "[INFO] compressed: " << s.size() << " " << (100. * s.size()) / (t.size() * sizeof(int16_t)) << "%" << std::endl; - file.write((const char *)s.c_str(), s.size()); - } else { - file.write((const char *)t.data(), sizeof(LatentType) * t.size()); - if (verbose) - cout << "[INFO] wrote uncompressed tensor" << endl; - } -} - -Image loadImage(const string &filename) { - ifstream file(filename, ios::binary); - if (!file) { - cerr << "[ERROR] unable to open image filename" << endl; - exit(-1); - } - string line; - file >> line; - if (line != "P6") { - cerr << "[ERROR] image not a PPM" << endl; - exit(-1); - } - Image im; - file >> im.size[1] >> im.size[0]; - if (verbose) - cout << "[INFO] image size: " << im.size[1] << 'x' << im.size[0] << endl; - if (im.size[0] > kMaxImageSize || im.size[1] > kMaxImageSize) { - cerr << "[ERROR] image too large" << endl; - exit(-1); - } - int L; - file >> L; - if (L != 255) { - cerr << "[ERROR] image to a valid PPM" << endl; - exit(-1); - } - file.ignore(1024, '\n'); - im.data_.resize(3 * im.size[0] * im.size[1]); - file.read((char *)im.data_.data(), im.data_.size()); - return im; -} - -sadl::Model loadEncoder() { - sadl::Model model; - istringstream file_model(string((const char *)encoderSadl, sizeof(encoderSadl)), ios::binary); - - if (!model.load(file_model)) { - cerr << "[ERROR] Unable to read model " << endl; - exit(-1); - } - return model; -} - -Image pad(const Image &im, int d) { - Image im2; - int p = (1 << d); - im2.size[0] = ((im.size[0] + p - 1) / p) * p; - im2.size[1] = ((im.size[1] + p - 1) / p) * p; - im2.data_.resize(im2.size[0] * im2.size[1] * 3, 0); - for (int i = 0; i < im2.size[0]; ++i) - for (int j = 0; j < im2.size[1]; ++j) - for (int k = 0; k < 3; ++k) - im2.data_[3 * (i * im2.size[1] + j) + k] = im.data_[3 * (i * im.size[1] + j) + k]; - return im2; -} - -sadl::Tensor image2tensor(const Image &im,int shift) { - sadl::Tensor t; - sadl::Dimensions dims({1, im.size[0], im.size[1], 3}); - t.resize(dims); - if constexpr (is_same::value) { - constexpr float Q = 1.f / 255.f; // 256 - for (int k = 0; k < t.size(); ++k) - t[k] = im.data_[k] * Q; - } else { - for (int k = 0; k < t.size(); ++k) - t[k] = (((int)im.data_[k])< encode(sadl::Model &model, const Image &im, const CodecProperties &properties) { - - Image im2 = pad(im, properties.down); - - std::vector> inputs; - inputs.resize(1); - int shift=model.getInputsTemplate()[0].quantizer-8; - inputs[0] = image2tensor(im2,shift); - if (!model.init(inputs)) { - cerr << "[ERROR] Pb init" << endl; - exit(-1); - } - chrono::steady_clock::time_point t1 = chrono::steady_clock::now(); - if (!model.apply(inputs)) { - cerr << "[ERROR] Pb inference" << endl; - exit(-1); - } - chrono::steady_clock::time_point t2 = chrono::steady_clock::now(); - chrono::duration cold = chrono::duration_cast>(t2 - t1); - if (verbose) { - std::cout << "[INFO] encode in " << cold.count() * 1000. << " ms" << endl; - } - auto res = model.result(); - const int s=kMeansQuantizerShift-res.quantizer; - const int half=(1<<(res.quantizer-1)); - (void)s; - (void)half; - // modif latent to take into account mean offset - for (int i = 0; i < res.dims()[1]; ++i) - for (int j = 0; j < res.dims()[2]; ++j) { - for (int k = 0; k < res.dims()[3]; ++k) { - if constexpr (is_same::value) { - const float off= (float)kCdfs[k][0].mean_offset/(1<::value) { - res(0, i, j, k) = ((int)res(0, i, j, k)-(kCdfs[k][0].mean_offset>>s)+half)>>res.quantizer; // emulate round - } - } - } - if constexpr (is_same::value) { - return asInt16(res); - } else if constexpr (is_same::value) { - res.quantizer=0; - return asInt16(res); - } -} - -int main(int argc, char **argv) { - if (argc != 3 && argc != 4) { - cout << argv[0] - << " image.ppm bitstream.bin [lambda]\n" - " if lambda, perform RDOQ\n" - << endl; - return 0; - } - const string filename_image = argv[1]; - const string filename_out = argv[2]; - - bool rdoq_on = (argc==4); - bool mt =false; - bool approx = false; - int pass = 0; - if (rdoq_on) { - mt = true; - approx = true; - pass = 3; - } - if (mt) { - cout << "[INFO] multithread" << endl; - } - Image im = loadImage(filename_image); - sadl::Model model = loadEncoder(); - auto prop = getProperties(model); - if (approx) { - prop.receiptive_field *= 0.5; - cout << "[INFO] approx RF" << endl; - } - if (rdoq_on) { - prop.lambda = atof(argv[3]); - cout << "[INFO] lambda=" << prop.lambda << endl; - } - auto latent = encode(model, im, prop); - auto decoder = loadDecoder(); - vector> inputs{1}; - inputs[0].resize(latent.dims()); - if constexpr (is_same::value) inputs[0].quantizer=kInputQuantizerShift; - if (!decoder.init(inputs)) { - cerr << "[ERROR] Pb init" << endl; - exit(-1); - } - cout << "[INFO] PSNR=" << psnrReconstructed(decoder, latent, im) << " dB" << endl; - if (rdoq_on) { - if (mt) - latent = rdoq_mt(decoder, latent, im, prop, pass); - else - latent = rdoq(decoder, latent, im, prop, pass); - } - compressTensor(filename_out, latent, im.size, 1); - if (verbose) { - cout << "[INFO] wrote " << filename_out << endl; - } -} diff --git a/compressai/sadl_codec/encoder_int16.cpp b/compressai/sadl_codec/encoder_int16.cpp deleted file mode 100644 index 4efc8b8..0000000 --- a/compressai/sadl_codec/encoder_int16.cpp +++ /dev/null @@ -1,35 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ - -#include "decoder_int16.h" -#include "encoder_int16.h" -#include -using Type = int16_t; -#include "encoder_generic.h" diff --git a/compressai/sadl_codec/encoder_int16.h b/compressai/sadl_codec/encoder_int16.h deleted file mode 100644 index e69de29..0000000 diff --git a/compressai/sadl_codec/extract_cdf.cpp b/compressai/sadl_codec/extract_cdf.cpp deleted file mode 100644 index 9fbbd16..0000000 --- a/compressai/sadl_codec/extract_cdf.cpp +++ /dev/null @@ -1,602 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ -#include "range_coder.h" -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -using namespace std; -namespace { // -[[maybe_unused]] const int verbose = 1; -using LatentType = int16_t; -constexpr int means_quantizer=10; -constexpr int input_quantizer=5; // will shift input by 1<<5 -int maxTensor = -1; - -constexpr int kNbCtxSpatial = 3; -constexpr int kNbCtxChannel = 2; -constexpr int kNbCtxSpatialChannel = kNbCtxSpatial + kNbCtxChannel - 1; - -using CdfSpatialCtx = std::array; -using CdfSpatialChannelCtx = std::array; - -constexpr int thDefault = 0; - -sadl::Tensor readTensor(const std::string &filename, int h, int w, int d) { - ifstream file(filename, ios::binary); - file.seekg(0, file.end); - auto size = file.tellg(); - file.seekg(0, file.beg); - // assume int16 - sadl::Tensor t; - sadl::Dimensions dims; - dims.resize(4); - int n = size / (d * h * w * sizeof(LatentType)); - dims[0] = n; - dims[1] = d; - dims[2] = h; - dims[3] = w; - cout << "[INFO] " << n << " tensors" << endl; - if (maxTensor > 0) - dims[0] = min((int)dims[0], maxTensor); - cout << "[INFO] reduced to " << dims[0] << " tensors" << endl; - t.resize(dims); - cout << t.dims() << ' ' << t.size() << endl; - file.read((char *)t.data(), t.size() * sizeof(LatentType)); - return t; -} - -sadl::Tensor slice(const sadl::Tensor &t, int c) { - sadl::Tensor t2; - sadl::Dimensions dims{t.dims()[0], t.dims()[2], t.dims()[3]}; - t2.resize(dims); - for (int n = 0; n < t.dims()[0]; ++n) { - for (int i = 0; i < t.dims()[2]; ++i) - for (int j = 0; j < t.dims()[3]; ++j) { - t2(n, i, j) = t(n, c, i, j); - } - } - return t2; -} - -std::tuple stat(const sadl::Tensor &t) { - int m = numeric_limits::max(); - int M = -numeric_limits::max(); - for (auto x : t) { - if (x < m) - m = x; - if (x > M) - M = x; - } - return {m, M}; -} - -Cdf computeCdf(const sadl::Tensor &t, int m, int M) { - Cdf cdf; - cdf.min_val = m - 1; - cdf.max_val = M + 1; - if (cdf.min_val <= -(1 << (Cdf::precision - 1))) { - cout << "[ERROR] values too large [" << m << ' ' << M << "]" << endl; - exit(0); - } - if (cdf.max_val >= (1 << (Cdf::precision - 1))) { - cout << "[ERROR] values too large [" << m << ' ' << M << "]" << endl; - exit(0); - } - std::vector proba; - proba.resize(cdf.max_val - cdf.min_val + 1, 0); - double s = 0.; - for (auto x : t) { - int i = x - cdf.min_val + 1; - proba[i]++; - s += x; - } - - const double f = ((1 << Cdf::precision) - 1) / (double)t.size(); - for (auto &x : proba) { - x = round(x * f); - } - cdf.cproba.resize(proba.size(), 0); - for (int k = 1; k < (int)proba.size(); ++k) { - cdf.cproba[k] = cdf.cproba[k - 1] + max(1, (int)proba[k]); - } - cdf.cproba.back() = (1 << Cdf::precision); - for (int k = (int)cdf.cproba.size() - 2; k > 0; --k) { - cdf.cproba[k] = min(cdf.cproba[k], cdf.cproba[k + 1] - 1); - } - int max_proba = -1; - int max_idx = -1; - for (int k = 0; k < (int)proba.size() - 1; ++k) { - int p = cdf.cproba[k + 1] - cdf.cproba[k]; - if (p > max_proba) { - max_proba = p; - max_idx = k; - } - } - cdf.probable = max_idx + cdf.min_val; - if (cdf.cproba[1] <= 0) { - cout << "[ERROR] logical error" << endl; - exit(0); - } - // cout< &t, int n, int i, int j, int mean, int th) { - int ctx = 0; - if (i > 0 && abs(t(n, i - 1, j) - mean) > th) - ctx++; - if (j > 0 && abs(t(n, i, j - 1) - mean) > th) - ctx++; - return ctx; -} - - -int getSpatialChannelContext(const sadl::Tensor &cur, const sadl::Tensor &prev, int n, int i, int j, int mean, - int mean_prev, int th, int th_prev) { - int ctx = 0; - if (i > 0 && abs(cur(n, i - 1, j) - mean) > th) - ++ctx; - if (j > 0 && abs(cur(n, i, j - 1) - mean) > th) - ++ctx; - if (prev.size() > 0) { - if (th_prev >= 0 && abs(prev(n, i, j) - mean_prev) > th_prev) - ++ctx; - else if (th_prev < 0 && abs(prev(n, i, j) - mean_prev) > th) - ++ctx; - } - return ctx; -} - -CdfSpatialCtx computeCdfSpatialCond(const sadl::Tensor &t, int th, const Cdf &cdf) { - CdfSpatialCtx cdfs_cond; - auto min_val = cdf.min_val; - auto max_val = cdf.max_val; - auto probable = cdf.probable; - auto mean_offset = cdf.mean_offset; - for (auto &cdf : cdfs_cond) { - cdf.min_val = min_val; - cdf.max_val = max_val; - cdf.probable = probable; - cdf.mean_offset = mean_offset; - } - - std::array, kNbCtxSpatial> probas; - for (auto &proba : probas) - proba.resize(max_val - min_val + 1, 0); - double sum[kNbCtxSpatial] = {}; - - for (int n = 0; n < (int)t.dims()[0]; ++n) - for (int i = 0; i < (int)t.dims()[1]; ++i) - for (int j = 0; j < (int)t.dims()[2]; ++j) { - int ctx = getSpatialContext(t, n, i, j, probable, th); - int x = t(n, i, j); - int idx = x - cdfs_cond[ctx].min_val + 1; - probas[ctx][idx]++; - sum[ctx]++; - } - - for (int ctx = 0; ctx < kNbCtxSpatial; ++ctx) { - if (sum[ctx] > 0) { - const double f = ((1 << Cdf::precision) - 1) / sum[ctx]; - for (auto &x : probas[ctx]) { - x = round(x * f); - } - } - } - for (int ctx = 0; ctx < kNbCtxSpatial; ++ctx) { - auto &cdf = cdfs_cond[ctx]; - const auto &proba = probas[ctx]; - cdf.cproba.resize(probas[ctx].size(), 0); - for (int k = 1; k < (int)proba.size(); ++k) - cdf.cproba[k] = cdf.cproba[k - 1] + max(1, (int)proba[k]); - cdf.cproba.back() = (1 << Cdf::precision); - for (int k = (int)cdf.cproba.size() - 2; k > 0; --k) - cdf.cproba[k] = min(cdf.cproba[k], cdf.cproba[k + 1] - 1); - if (cdf.cproba[1] <= 0) { - cout << "[ERROR] logical error" << endl; - exit(0); - } - } - return cdfs_cond; -} - - - -CdfSpatialChannelCtx computeCdfSpatialChannelCond(const sadl::Tensor &t, const sadl::Tensor &prev, const Cdf &cdf, - const Cdf &cdf_prev, int th, int th_prev = -1) { - CdfSpatialChannelCtx cdfs_cond; - auto min_val = cdf.min_val; - auto max_val = cdf.max_val; - auto mean = cdf.probable; - auto mean_offset = cdf.mean_offset; - for (auto &cdf : cdfs_cond) { - cdf.min_val = min_val; - cdf.max_val = max_val; - cdf.probable = mean; - cdf.mean_offset = mean_offset; - } - - std::array, kNbCtxSpatialChannel> probas; - for (auto &proba : probas) - proba.resize(max_val - min_val + 1, 0); - double sum[kNbCtxSpatialChannel] = {}; - - int mean_prev = cdf_prev.probable; - - for (int n = 0; n < (int)t.dims()[0]; ++n) - for (int i = 0; i < (int)t.dims()[1]; ++i) - for (int j = 0; j < (int)t.dims()[2]; ++j) { - int ctx = getSpatialChannelContext(t, prev, n, i, j, mean, mean_prev, th, th_prev); - int x = t(n, i, j); - int idx = x - cdfs_cond[ctx].min_val + 1; - probas[ctx][idx]++; - sum[ctx]++; - } - - for (int ctx = 0; ctx < kNbCtxSpatialChannel; ++ctx) { - if (sum[ctx] > 0) { - const double f = ((1 << Cdf::precision) - 1) / sum[ctx]; - for (auto &x : probas[ctx]) { - x = round(x * f); - } - } - } - for (int ctx = 0; ctx < kNbCtxSpatialChannel; ++ctx) { - auto &cdf = cdfs_cond[ctx]; - const auto &proba = probas[ctx]; - cdf.cproba.resize(probas[ctx].size(), 0); - for (int k = 1; k < (int)proba.size(); ++k) - cdf.cproba[k] = cdf.cproba[k - 1] + max(1, (int)proba[k]); - cdf.cproba.back() = (1 << Cdf::precision); - for (int k = (int)cdf.cproba.size() - 2; k > 0; --k) - cdf.cproba[k] = min(cdf.cproba[k], cdf.cproba[k + 1] - 1); - if (cdf.cproba[1] <= 0) { - cout << "[ERROR] logical error" << endl; - exit(0); - } - } - return cdfs_cond; -} - -double entropyCondSpatialChannel(const sadl::Tensor &t, const sadl::Tensor &prev, const CdfSpatialChannelCtx &cdfs, - const Cdf &cdf, const Cdf &cdf_prev, int th, int th_prev) { - double H = 0.; - constexpr double M = (1 << Cdf::precision); - const int mean = cdf.probable; - const int mean_prev = cdf_prev.probable; - - for (int n = 0; n < (int)t.dims()[0]; ++n) - for (int i = 0; i < (int)t.dims()[1]; ++i) - for (int j = 0; j < (int)t.dims()[2]; ++j) { - int ctx = getSpatialChannelContext(t, prev, n, i, j, mean, mean_prev, th, th_prev); - int x = t(n, i, j); - const Cdf &cdf = cdfs[ctx]; - int idx = x - cdf.min_val; - H += log2(M) - log2(cdf.cproba[idx + 1] - cdf.cproba[idx]); - } - - return H / t.size(); -} - -double entropyCondSpatial(const sadl::Tensor &t, const CdfSpatialCtx &cdfs, const Cdf &cdf, int thh) { - double H = 0.; - constexpr double M = (1 << Cdf::precision); - const int mean = cdf.probable; - - for (int n = 0; n < (int)t.dims()[0]; ++n) - for (int i = 0; i < (int)t.dims()[1]; ++i) - for (int j = 0; j < (int)t.dims()[2]; ++j) { - int ctx = getSpatialContext(t, n, i, j, mean, thh); - int x = t(n, i, j); - const Cdf &cdf = cdfs[ctx]; - int idx = x - cdf.min_val; - H += log2(M) - log2(cdf.cproba[idx + 1] - cdf.cproba[idx]); - } - - return H / t.size(); -} - -double entropy(const sadl::Tensor &t, const Cdf &cdf) { - double H = 0.; - constexpr double M = (1 << Cdf::precision); - - for (auto x : t) { - int i = x - cdf.min_val; - H += log2(M) - log2(cdf.cproba[i + 1] - cdf.cproba[i]); - } - return H / t.size(); -} - -vector getChannelOrderEntropyBased(const sadl::Tensor &t, const vector &best_th, const vector &spatial_cost, - const vector &cdfs) { - - vector order; - order.reserve(best_th.size()); - - constexpr int kMinRange = 4; - int best_range = -1; - int best_idx = -1; - for (int i = 0; i < (int)cdfs.size(); ++i) { - if (cdfs[i].max_val - cdfs[i].min_val > best_range) { - best_range = cdfs[i].max_val - cdfs[i].min_val; - best_idx = i; - } - } - order.push_back(best_idx); - cout << "[INFO] order by cost: "; - sadl::Tensor prev_tc = slice(t, best_idx); - while ((int)order.size() != t.dims()[1]) { - const int k_prev = order.back(); - double bestCost = -1.; - int bestIdx = -1; - for (int k_cur = 0; k_cur < (int)t.dims()[1]; ++k_cur) { - int range = cdfs[k_cur].max_val - cdfs[k_cur].min_val; - if (range > kMinRange && find(order.begin(), order.end(), k_cur) == order.end()) { - auto tc = slice(t, k_cur); - const auto &cdf = cdfs[k_cur]; - const auto &cdf_prev = cdfs[k_prev]; - auto cdfs_cond = computeCdfSpatialChannelCond(tc, prev_tc, cdf, cdf_prev, best_th[k_cur], best_th[k_prev]); - double dcost = - spatial_cost[k_cur] - entropyCondSpatialChannel(tc, prev_tc, cdfs_cond, cdf, cdf_prev, best_th[k_cur], best_th[k_prev]); - if (dcost > bestCost) { - bestCost = dcost; - bestIdx = k_cur; - } - } - } - if (bestIdx >= 0) { - cout << bestIdx << ' '; - cout.flush(); - order.push_back(bestIdx); - prev_tc = slice(t, bestIdx); - } else - break; - } - for (int k = 0; k < (int)t.dims()[1]; ++k) { - int range = cdfs[k].max_val - cdfs[k].min_val; - if (range <= kMinRange && find(order.begin(), order.end(), k) == order.end()) { - order.push_back(k); - } - } - cout << endl; - return order; -} - - - -vector channelActivationProba(const sadl::Tensor &t, const vector &cdfs) { - const double f = (double)(1 << Cdf::precision) / (t.dims()[0]); - vector v; - v.resize(t.dims()[1], 0); - for (int k = 0; k < (int)t.dims()[1]; ++k) { - double s = 0.; - const int mean = cdfs[k].probable; - for (int n = 0; n < (int)t.dims()[0]; ++n) { - bool zero = true; - for (int i = 0; i < (int)t.dims()[2] && zero; ++i) - for (int j = 0; j < (int)t.dims()[3] && zero; ++j) { - int x = t(n, k, i, j); - zero = (x == mean); - } - s += !zero; - } - v[k] = max(1, min((1 << Cdf::precision) - 1, (int)round(s * f))); - } - return v; -} - - - -void writeCdfs(const vector> &cdfscond, const vector &best_th, const vector &order,const vector &channel_proba, - const string &filename) { - ofstream file(filename, ios::binary); - const int N=cdfscond.size(); - file << "#pragma once\n" - << "\n" - "#include \"range_coder.h\"\n" - "#include \n" - "static constexpr int kNbCdfs=" - << N << ";\n"; - file << "static const int kOrder[kNbCdfs]={\n"; - for (auto x : order) - file << x << ", "; - file << "};\n"; - - file << "static constexpr int kNbChannels="<< N << ";\n" - "static const int kChannelsProba[kNbChannels]={\n"; - for (auto p : channel_proba) - file << p << ", "; - file << "};\n"; - - file << "static const int kThreholds[kNbCdfs]={\n"; - for (auto x : best_th) - file << x << ", "; - file << "};\n"; - - file << "static constexpr int kNbCtx=" << kNbCtxSpatialChannel << ";\n"; - file << "static constexpr int kMeansQuantizerShift=" << means_quantizer << ";\n"; - file << "static constexpr int kInputQuantizerShift=" << input_quantizer << ";\n"; - file << "static const Cdf kCdfs[kNbCdfs][kNbCtx]={\n"; - for (const auto &cdfcond : cdfscond) { - file << "{\n"; - for (const auto &cdf : cdfcond) { - file << " {" << cdf.min_val << ", " << cdf.max_val << ", " << cdf.probable << ", " << cdf.mean_offset << " ,{"; - for (auto x : cdf.cproba) - file << x << ", "; - file << "} },\n"; - } - file << "},\n"; - } - file << "};\n"; - - - file << - R"cpp( - template - int getContext(const sadl::Tensor &t,int n_cur,int n_prev,int i,int j) { - int ctx=0; - int th=kThreholds[n_cur]; - int mean=kCdfs[n_cur][0].probable; - if (i>0&&abs(t(0,i-1,j,n_cur)-mean)>th) ++ctx; - if (j>0&&abs(t(0,i,j-1,n_cur)-mean)>th) ++ctx; - if (n_prev>=0&&abs(t(0,i,j,n_prev)-kCdfs[n_prev][0].probable)>kThreholds[n_prev]) ++ctx; - return ctx; - } - )cpp"; - -} - -void help() { - cout << "extract_cdf latent_h latent_w latent_d outputs.bin\n" - " OUTPUT: model_cdfs.h\n" - << endl; - exit(0); -} - -double sum(const vector &v) { return accumulate(v.begin(), v.end(), 0.); } - -} // namespace - -int main(int argc, char **argv) { - if (argc != 5) - help(); - const int h = atoi(argv[1]); - const int w = atoi(argv[2]); - const int d = atoi(argv[3]); - const string filename_latent = argv[4]; - const auto t = readTensor(filename_latent, h, w, d); - - vector cdfs(d); - vector defaultH(d); - vector means_float(d); - { // load means - ifstream file(filename_latent + ".means"); - if (!file) { - cerr << "[ERROR] " << filename_latent + ".means" - << " is missing" << endl; - exit(0); - } - file.read((char *)means_float.data(), means_float.size() * sizeof(float)); - } - // first compute normal cdfs - cout << "\n[INFO] ===== Default cdfs ======" << endl; - for (int c = 0; c < d; ++c) { - auto tc = slice(t, c); - auto [m, M] = stat(tc); - cdfs[c] = computeCdf(tc, m, M); - cdfs[c].mean_offset = round(means_float[c]*(1< cdfs_spatial_cond(d); - vector best_th(d); - vector spatialH(d); - double s_spatial = 0.; - { // we need to compute the thresholds on spatial consideration - cout << "\n[INFO] ===== Spatial cond. cdfs ======" << endl; - for (int c = 0; c < d; ++c) { - int m = cdfs[c].min_val; - int M = cdfs[c].max_val; - int probable = cdfs[c].probable; - int th_max = thDefault; - - th_max = max(1, min(abs(m - probable), abs(M - probable))); - - auto tc = slice(t, c); - double bestH = numeric_limits::max(); - for (int th = 0; th < th_max; ++th) { - auto cdfs_cur = computeCdfSpatialCond(tc, th, cdfs[c]); - auto H = entropyCondSpatial(tc, cdfs_cur, cdfs[c], th); - if (H < bestH) { - bestH = H; - cdfs_spatial_cond[c] = move(cdfs_cur); - best_th[c] = th; - } - } - spatialH[c] = bestH; - cout << " [INFO] " << c << ": " << defaultH[c] << " => " << bestH << " bpp, th=" << best_th[c] << endl; - } - s_spatial = sum(spatialH); - cout << "[INFO] CDF spatial cond: Total: " << s_default << " => " << s_spatial << " (" << 100. * s_spatial / s_default << "%)" << endl; - } - - // - - vector order = getChannelOrderEntropyBased(t, best_th, defaultH, cdfs); - vector cdfs_spatial_channel_cond(d); - - vector withChannelH(d); - { - cout << "\n[INFO] ===== spatial/channel cond. cdfs ======" << endl; - sadl::Tensor tc_prev; - int c_prev = -1; - for (int c0 = 0; c0 < d; ++c0) { - int c = order[c0]; - auto tc = slice(t, c); - - int th_cur = best_th[c]; - int th_prev = (c_prev >= 0) ? best_th[c_prev] : -1; - const auto &cdf = cdfs[c]; - const auto &cdf_prev = (c_prev >= 0) ? cdfs[c_prev] : cdfs[0]; - - th_prev = (c_prev >= 0) ? best_th[c_prev] : -1; - if (c_prev >= 0) { - th_prev = best_th[c_prev]; - } - - cdfs_spatial_channel_cond[c] = computeCdfSpatialChannelCond(tc, tc_prev, cdf, cdf_prev, th_cur, th_prev); - withChannelH[c] = entropyCondSpatialChannel(tc, tc_prev, cdfs_spatial_channel_cond[c], cdf, cdf_prev, th_cur, th_prev); - - cout << " [INFO] " << c << ": " << defaultH[c] << " => " << withChannelH[c] << " bpp" << endl; - swap(tc_prev, tc); - c_prev = c; - } - double s_wchannel = sum(withChannelH); - cout << "[INFO] CDF spatial/channel cond: Total: " << sum(defaultH) - << " => " << s_spatial << " (" << 100. * s_spatial / s_default << "%) => " << s_wchannel << " (" << 100. * s_wchannel / s_default - << "%)" << endl; - - auto channel_proba = channelActivationProba(t, cdfs); - - writeCdfs(cdfs_spatial_channel_cond, best_th, order, channel_proba, "model_cdfs.h"); - } -} diff --git a/compressai/sadl_codec/extract_codec.py b/compressai/sadl_codec/extract_codec.py deleted file mode 100755 index c8b0dc2..0000000 --- a/compressai/sadl_codec/extract_codec.py +++ /dev/null @@ -1,131 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import argparse -import pickle -import sys - -import torch - - -def parse_args(argv): - parser = argparse.ArgumentParser( - description="Extract the decoder from the full model and convert it into ONNX. Extract decoder info to a pickle." - ) - parser.add_argument( - "-o", "--output", type=str, default="model", help="output file prefix" - ) - parser.add_argument("-v", "--verbose", action="store_true", help="verbose") - parser.add_argument( - "--extract_info", - action="store_true", - help="extract additional infos in the model", - ) - parser.add_argument( - "--model", type=str, required=True, help="Path to a pth model, not a state_dict" - ) - args = parser.parse_args(argv) - return args - - -def main(argv): - if False: # torch.cuda.is_available(): - device = torch.device("cuda:{}".format(torch.cuda.current_device())) - print("[INFO] Using device:", torch.cuda.get_device_name(device)) - loc = "cuda" - else: - device = torch.device("cpu") - print("[INFO] Using CPU") - loc = "cpu" - args = parse_args(argv) - - print("[INFO] read checkpoint: ", args.model) - checkpoint = torch.load(args.model, map_location=loc) - autoencoder = checkpoint["model"] - - if not hasattr(autoencoder, "g_s"): - quit("[ERROR] no decoder in the model") - decoder = autoencoder.g_s - - if args.verbose: - for i, _ in checkpoint.items(): - print(i) - print("[INFO] model:", autoencoder) - print("[INFO] decoder:", decoder) - - filename = args.output - decoder.eval() - # decoder = decoder.to(memory_format=torch.channels_last) - print("[INFO] save decoder : ", filename + "_dec.onnx") - dummy_input = torch.randn(1, decoder[0].in_channels, 8, 8, requires_grad=True) - if args.verbose: - print("[INFO] size input dummy", dummy_input.size()) - dummy_input = dummy_input.to(device) - torch.onnx.export(decoder, dummy_input, filename + "_dec.onnx", opset_version=11) - - if True: - if not hasattr(autoencoder, "g_a"): - quit("[ERROR] no encoder in the model") - encoder = autoencoder.g_a - print("[INFO] save encoder : ", filename + "_enc.onnx") - dummy_input = torch.randn(1, encoder[0].in_channels, 8, 8, requires_grad=True) - torch.onnx.export( - encoder, dummy_input, filename + "_enc.onnx", opset_version=11 - ) - - if args.extract_info: - cdf = checkpoint["cdf"] - cdflen = checkpoint["cdflen"] - cdfoff = checkpoint["cdfoff"] - quant_layer = checkpoint["quant_layer"] - - dict_quantizers = {} - i = 0 - for name in decoder.named_parameters(): - dict_quantizers[name[0]] = quant_layer[i] - i = i + 1 - - if args.verbose: - print("[INFO] quantizers: ", dict_quantizers) - - dict_cdf = {} - dict_cdf["cdf"] = cdf.cpu().detach().numpy() - dict_cdf["cdflen"] = cdflen.cpu().detach().numpy() - dict_cdf["cdfoff"] = cdfoff.cpu().detach().numpy() - dict_cdf["quantizers"] = dict_quantizers - - if args.verbose: - print("[INFO] dec_info: ", dict_cdf) - - pickle.dump(dict_cdf, open(filename + "_info.pkl", "wb")) - print("[INFO] wrote decoder info: ", filename + "_info.pkl") - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/compressai/sadl_codec/extract_quantizers.py b/compressai/sadl_codec/extract_quantizers.py deleted file mode 100755 index 666268d..0000000 --- a/compressai/sadl_codec/extract_quantizers.py +++ /dev/null @@ -1,100 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import argparse -import pickle -import re -import sys - -# expect pickle file format: -# { -# 'quantizers': { 'weight0': 10, 'weight1': 13 ...}, -# } -if __name__ == "__main__": - parser = argparse.ArgumentParser( - prog="extract_quantizers", - usage="use output of debug_model to identify layers index.\nusage: debug_model model.sadl | extract_quantizers --input model_info.pkl > quantizers.txt", - ) - parser.add_argument( - "--input", - action="store", - nargs="?", - type=str, - help="name of the pkl file containing the dict", - ) - parser.add_argument("--verbose", action="count") - -args = parser.parse_args() - -with open(args.input, "rb") as f: - infos = pickle.load(f) - -if args.verbose: - print(infos, file=sys.stderr) - -started = False -d = {} -firstLayer = None -conv = {} -for line in sys.stdin: - if "Exit" == line.rstrip() or "end model inference" in line: - break - if "start model inference" in line: - started = True - if started: - m = re.match(r"\[INFO\]\s+(\d+)\s+Const\s+\((.+)\).*", line) - if m is not None: - d[m[2]] = int(m[1]) - - m = re.match(r"\[INFO\]\s+(\d+)\s+Conv2DTranspose\s+\((.+)\).*", line) - if m is not None: - if firstLayer is None: - firstLayer = int(m[1]) - else: - conv[int(m[1])] = 0 - -if args.verbose: - print( - "[INFO] first layer: {}, layers index: {}".format(firstLayer, d), - file=sys.stderr, - ) - -assert "quantizers" in infos, "No quantizers key in {}".format(args.input) - -# get quantizers -print("0 0 ", end="") # input is already in integer, do not put any quantizer -for k, v in infos["quantizers"].items(): - name = k - assert name in d, "{} not in extracted names {}".format(name, d) - print("{} {} ".format(d[name], int(v)), end="") - if int(d[name]) == firstLayer - 1: # const layer corresponding to the first deconv - print("{} {} ".format(firstLayer, -int(v)), end="") -for k, v in conv.items(): - print("{} {} ".format(k, v), end="") -print("") diff --git a/compressai/sadl_codec/model_cdfs.h b/compressai/sadl_codec/model_cdfs.h deleted file mode 100644 index e69de29..0000000 diff --git a/compressai/sadl_codec/range_coder.cpp b/compressai/sadl_codec/range_coder.cpp deleted file mode 100644 index 7f35c67..0000000 --- a/compressai/sadl_codec/range_coder.cpp +++ /dev/null @@ -1,62 +0,0 @@ -/* Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ - -#include "range_coder.h" -#include -#include -#include -#include -#include -#include - -using namespace std; - -void RangeCoder::encode(int value, const Cdf &cdf, std::ostream &out) { - value -= cdf.min_val; - - if (value < 0 || value > (int)cdf.cproba.size() - 1) { - cout << "[ERROR] overflow support deactivated " << value << "[" << cdf.min_val << ' ' << cdf.max_val << "] n=" << cdf.cproba.size() - << endl; - exit(-1); - } - entropy += log2(1 << Cdf::precision) - log2(cdf.cproba[value + 1] - cdf.cproba[value]); - coder_.encode(cdf.cproba[value], cdf.cproba[value + 1], Cdf::precision, out); -} - -int RangeDecoder::decode(std::istream &in, const Cdf &cdf) { - - int value = decoder_.decode(in, cdf.cproba.data(), cdf.cproba.data() + cdf.cproba.size(), Cdf::precision); - - if (value == (int)cdf.cproba.size() - 1) { - cout << "[ERROR] overflow support deactivated " << endl; - exit(-1); - } - return value + cdf.min_val; -} diff --git a/compressai/sadl_codec/range_coder.h b/compressai/sadl_codec/range_coder.h deleted file mode 100644 index b86b938..0000000 --- a/compressai/sadl_codec/range_coder.h +++ /dev/null @@ -1,60 +0,0 @@ -#pragma once -/* Copyright (c) 2021-2022, InterDigital Communications, Inc -All rights reserved. - -Redistribution and use in source and binary forms, with or without -modification, are permitted (subject to the limitations in the disclaimer -below) provided that the following conditions are met: - -* Redistributions of source code must retain the above copyright notice, - this list of conditions and the following disclaimer. -* Redistributions in binary form must reproduce the above copyright notice, - this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. -* Neither the name of InterDigital Communications, Inc nor the names of its - contributors may be used to endorse or promote products derived from this - software without specific prior written permission. - -NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -*/ - -#include "range_coder_impl.h" - -struct Cdf { - static constexpr int precision = 16; - static constexpr int overflow_width = 4; - static constexpr int max_overflow = (1 << overflow_width) - 1; - int min_val, max_val; // assume the cdf represents value in [min,max[ - int probable; // value with max proba - int mean_offset; // mean offset - std::vector cproba; // per construction, proba.size()=max-min+1 +1 (the last proba represent the proba for value outside the range) -}; - -class RangeCoder { -public: - void encode(int value, const Cdf &cdf, std::ostream &out); - void finalize(std::ostream &out) { coder_.finalize(out); } - double entropy = 0.; - -private: - RangeEncoderImpl coder_; -}; - -class RangeDecoder { -public: - int decode(std::istream &in, const Cdf &cdf); - -private: - RangeDecoderImpl decoder_; -}; diff --git a/compressai/sadl_codec/rdoq.h b/compressai/sadl_codec/rdoq.h deleted file mode 100644 index 21fc6f9..0000000 --- a/compressai/sadl_codec/rdoq.h +++ /dev/null @@ -1,286 +0,0 @@ -#pragma once -#include "common.h" -#include -#include -#include -#include - -using namespace std; -constexpr float kRatioRateToDoRDOQ = 0.25; // -atomic counter; - -struct CodecProperties { - int down; // downscale by encoder - int receiptive_field; // in image - double lambda; -}; - -double psnr(double mse) { return -10. * log10(mse / (255. * 255.)); } - -double mse(const Image &im0, const Image &im1) { - double s = 0.; // approx RGB PSNR - for (int k = 0; k < im0.size[0] * im0.size[1] * 3; ++k) { - float e = (float)im0.data_[k] - im1.data_[k]; - s += e * e; - } - return s / (im0.size[0] * im0.size[1] * 3); -} - -double psnrReconstructed(sadl::Model &decoder, const sadl::Tensor &latent, const Image &im) { - std::vector> inputs{1}; - inputs[0].resize(latent.dims()); - for (int k = 0; k < latent.size(); ++k) - inputs[0][k] = latent[k]; - - offsetLatent(inputs[0]); - - if (!decoder.apply(inputs)) { - std::cerr << "[ERROR] Pb inference" << endl; - exit(-1); - } - const double e = mse(im, toImage(decoder.result(), im.size)); - return psnr(e); -} - -double cost(int v, const Cdf &cdf) { - const double Q = 1. / (1 << Cdf::precision); - int idx = v - cdf.min_val; - double p = (cdf.cproba[idx + 1] - cdf.cproba[idx]) * Q; - return -log2(p); -} - -double getApproximateChannelCost(const sadl::Tensor &t, int c) { - double H = 0.; - const auto &cdf = kCdfs[c][0]; - for (int i = 0; i < t.dims()[1]; ++i) - for (int j = 0; j < t.dims()[2]; ++j) { - // const auto &cdf=cdfs[getContext(t,k,kprev,i,j)]; - int v = t(0, i, j, c); // no round because we control the value to be int - if (v <= cdf.min_val || v >= cdf.max_val) { - std::cout << "[ERROR] value out of range: " << v << " [" << cdf.min_val << ' ' << cdf.max_val << "]" << endl; - exit(-1); - } - H += cost(v, cdf); - } - return H; -} - -double SE_part(const Image &org, int i0, int j0, int rf, const Image &cropped) { - const int ri0 = cropped.size[0] / 2; - const int rj0 = cropped.size[1] / 2; - double se = 0.; - for (int i = -rf; i <= rf; ++i) - for (int j = -rf; j <= rf; ++j) { - if (i0 + i >= 0 && i0 + i < org.size[0] && j0 + j >= 0 && j0 + j < org.size[1]) { - for (int k = 0; k < 3; ++k) { - float e = (float)org(i0 + i, j0 + j, k) - cropped(ri0 + i, rj0 + j, k); - se += e * e; - } - } - } - return se / 3.; // normalize by image size -} - -// note: approx R by using kCdfs -// R/nb_pix+L DR/nb_pix < R_newR/nb_pix + L D_newR/nb_pix -// R = R_c_i_j + R_other -// R_c_i_j+L D < R_new_c_i_j + L D_new -// D = SE = (SE_area+SE_other) -// R_c_i_j+L SE_area < R_new_c_i_j + L SE_new_are - -// note: MT very messy: take into account update randmly (do not wait for processing of other channels), so not causal and not deterministic -void rdoqChannel(sadl::Tensor &t, int c, int cprev, const Image &im, const CodecProperties &prop, double totR, bool full_ctx, - bool mt) { - double Rc = getApproximateChannelCost(t, c); // approximate, initial rate - if (Rc < totR / kNbCdfs * kRatioRateToDoRDOQ) - return; - double D{}, R{}; - const int d = t.dims()[3]; - const int scale = (1 << prop.down); - const int rf_latent = ceil((float)(prop.receiptive_field * 2) / scale); - thread_local static auto decoder = loadDecoder(); - thread_local static std::vector> inputs{1}; - thread_local static sadl::Tensor bak_input; // to avoid copy - thread_local static bool once = false; - if (!once) { - sadl::Dimensions dims({1, rf_latent * 2 + 1, rf_latent * 2 + 1, d}); - inputs[0].resize(dims); - bak_input.resize(dims); - decoder.init(inputs); - once = true; - } - constexpr int deltas[] = {1, -1}; - static mutex mtx; - - // to see: why cropped on border not same result as original - int cpt = 0; - int gains = 0; - - const int cpt_tot = (t.dims()[1] - 2 * rf_latent) * (t.dims()[2] - 2 * rf_latent); - for (int i0 = rf_latent; i0 < t.dims()[1] - rf_latent; ++i0) - for (int j0 = rf_latent; j0 < t.dims()[2] - rf_latent; ++j0, cpt++) { - if (verbose && full_ctx) { - cout << "\rProcess channel " << c << ": " << (cpt * 100.) / (cpt_tot) << "% " << gains << " "; - cout.flush(); - } - // crop latent - const Cdf &cdf = (full_ctx) ? getCdf(t, c, cprev, i0, j0) : kCdfs[c][0]; - const int most_probable = cdf.probable; - int v_org = t(0, i0, j0, c); // nobody can write here: no mtx (but false sharing likely) - int v_new = v_org; - if (v_org == most_probable) - continue; // early skip - inputs[0].fill(0); - if (mt) - mtx.lock(); - for (int di = -rf_latent; di <= rf_latent; ++di) - for (int dj = -rf_latent; dj <= rf_latent; ++dj) { - if (t.in(0, i0 + di, j0 + dj, 0)) { - for (int k = 0; k < d; ++k) { - inputs[0](0, di + rf_latent, dj + rf_latent, k) = t(0, i0 + di, j0 + dj, k); - } - } - } - if (mt) - mtx.unlock(); - offsetLatent(inputs[0]); - bak_input = inputs[0]; - // compute initial distortion - decoder.apply(inputs); - swap(inputs[0], bak_input); // because sadl consume inputs - const int i_org = i0 * scale + scale / 2; - const int j_org = j0 * scale + scale / 2; - Size s_output = {(uint16_t)decoder.result().dims()[1], (uint16_t)decoder.result().dims()[2]}; - R = cost(v_org, cdf); - D = SE_part(im, i_org, j_org, prop.receiptive_field, toImage(decoder.result(), s_output)); - // const int sign=(most_probable-v_org)>0?1:-1; // prefer lower bitrate first - for (auto delta : deltas) { - // int delta=sign*delta0; - // if ((most_probable - v_org) * delta < 0) continue; // heuristic to lower the rate - if (v_org + delta >= cdf.max_val) - continue; - if (v_org + delta <= cdf.min_val) - continue; - double cur_R = cost(v_org + delta, cdf); - inputs[0](0, rf_latent, rf_latent, c) = v_org + delta; - offsetValue(inputs[0](0, rf_latent, rf_latent, c),c); - decoder.apply(inputs); - double cur_D = SE_part(im, i_org, j_org, prop.receiptive_field, toImage(decoder.result(), s_output)); - if (cur_D * prop.lambda + cur_R < D * prop.lambda + R) { - v_new = v_org + delta; - - if (verbose > 1 && full_ctx) - cout << i0 << ' ' << j0 << ": " << v_org << "+" << delta << ": " << R << "+L*" << D << "=" << D * prop.lambda + R << " => " - << cur_R << "+L*" << cur_D << "=" << cur_D * prop.lambda + cur_R << endl; - R = cur_R; - D = cur_D; - ++gains; - // break; // skip if found - } - } - if (v_new != v_org) { - if (mt) - mtx.lock(); - t(0, i0, j0, c) = v_new; - if (mt) - mtx.unlock(); - } - } - if (verbose && full_ctx) - cout << endl; -} - -extern std::string compress(const sadl::Tensor &t, Size size); -extern sadl::Tensor asInt16(const sadl::Tensor &t); - -sadl::Tensor rdoq(sadl::Model &decoder, const sadl::Tensor &latent, const Image &im, - const CodecProperties &prop, int nbPass) { - sadl::Tensor t; - t.resize(latent.dims()); - for (int k = 0; k < latent.size(); ++k) - t[k] = latent[k]; - sadl::Tensor latent2; - double totCost = compress(latent, im.size).size() * 8; - for (int pass = 0; pass < nbPass; ++pass) { - chrono::steady_clock::time_point t1 = chrono::steady_clock::now(); - int cprev = -1; - for (int c0 = 0; c0 < kNbCdfs; ++c0) { - int c = kOrder[c0]; - rdoqChannel(t, c, cprev, im, prop, totCost, true, false); - if (verbose) - cout << "Total: " << (c0 * 100.) / (kNbCdfs) << "%" << endl; - cprev = c; - } - latent2 = asInt16(t); - cout << "[INFO] PSNR: " << psnrReconstructed(decoder, latent2, im) << " dB" << endl; - chrono::steady_clock::time_point t2 = chrono::steady_clock::now(); - chrono::duration cold = chrono::duration_cast>(t2 - t1); - cout << "RDOQ: " << cold.count() << " s" << endl; - } - return latent2; -} - -bool rdoqChannelMulti(sadl::Tensor &t, const vector &ch, const vector &chprev, const Image &im, const CodecProperties &prop, double totR) { - - for (int k=0;k<(int)ch.size();++k) { - rdoqChannel(t, ch[k], chprev[k], im, prop, totR, true, true); - counter++; - cout << 100. * counter / kNbCdfs << "% " << endl; - } - // cout<<"Thread finished"< &src, int c, sadl::Tensor &tgt) { - for (int i = 0; i < src.dims()[1]; ++i) - for (int j = 0; j < src.dims()[2]; ++j) - tgt(0, i, j, c) = src(0, i, j, c); -} - -sadl::Tensor rdoq_mt(sadl::Model &decoder, const sadl::Tensor &latent, const Image &im, - const CodecProperties &prop, int nbPass) { - chrono::steady_clock::time_point t1 = chrono::steady_clock::now(); - sadl::Tensor t; - t.resize(latent.dims()); - for (int k = 0; k < latent.size(); ++k) - t[k] = latent[k]; - - const int nb = thread::hardware_concurrency() / 2; - double totCost = compress(latent, im.size).size() * 8; - vector> ts; - vector> channels; - vector> channels_prev; - vector> results; - ts.resize(nb, t); - channels.resize(nb); - channels_prev.resize(nb); - results.resize(nb); - int idx = 0; - for (int c0 = 0; c0 < kNbCdfs; ++c0) { - int c = kOrder[c0]; - channels[idx].push_back(c); - if (c0==0) channels_prev[idx].push_back(-1); - else channels_prev[idx].push_back(kOrder[c0-1]); - idx = (idx + 1) % nb; - } - sadl::Tensor latent2; - for (int pass = 0; pass < nbPass; ++pass) { - counter = 0; - for (int idx = 0; idx < nb; ++idx) { - results[idx] = std::async(rdoqChannelMulti, ref(/*ts[idx]*/ t), ref(channels[idx]), ref(channels_prev[idx]), ref(im), prop, totCost); - } - for (int idx = 0; idx < nb; ++idx) { - results[idx].wait(); - // for (auto c : channels[idx]) { - // copy(ts[idx], c, t); - // } - } - latent2 = asInt16(t); - totCost = compress(latent2, im.size).size() * 8; - cout << "[INFO] R=" << totCost << " bits, PSNR: " << psnrReconstructed(decoder, latent2, im) << " dB" << endl; - } - chrono::steady_clock::time_point t2 = chrono::steady_clock::now(); - chrono::duration cold = chrono::duration_cast>(t2 - t1); - cout << "RDOQ: " << cold.count() << " s" << endl; - return latent2; -} diff --git a/compressai/sadl_codec/readme.md b/compressai/sadl_codec/readme.md deleted file mode 100644 index 19d17ad..0000000 --- a/compressai/sadl_codec/readme.md +++ /dev/null @@ -1,62 +0,0 @@ -# Convert a compressAI model into a standalone C++ encoder/decoder - -## Workflow - -1- compressAI: - - train a model convertible to SADL (for example FactorizedPriorReLU), see below for details - - dump a pth containing the model (g\_a, g\_s, possibly the cdfs and quantizers if needed) - - prepare a training set of raw patch 256x256x3 in npy format (uint8) to be used to recompute statistics of the latents - - -2- Conversion - - initialize the SADL submodule - - run the script build\_codec.sh in a working directory: - ```shell - compressai/sadl_codec/build_codec.sh --model model.pth --training_dataset trainingdataset.npy - ``` -Note: it can take a while to generate the first time as it has to perform an inference on the whole training set. - - It will run the following steps: - - STEP 0: extract the codec from the pth and save it to onnx format, using extract\_codec.py - - STEP 1: convert the onnx models => sadl float, using the SADL converter - - STEP 2: extract cdfs values from the trainingdataset using extract\_cdf.py. - - OPTIONAL STEP 3/4: extract quantizers information and create a sadl int16 decoder. - - STEP 5: build the C++ decoder - - STEP 6: extract the encoder, build the C++ encoder - - -3- Run on kodak dataset -```shell -compressai/sadl_codec/check_kodak.sh --dir kodak_dir -``` -or for better performance (longer to generate): -```shell -compressai/sadl_codec/check_kodak.sh --dir kodak_dir --rdoq lambda -``` - -It will run the evaluation using the C++ codec on kodak dataset: -- convert image to PPM -- encode image with encoder\_sadl\_float\_simd512 (optionnaly performs an rdoq on the latent) -- decode the bitstream using decoder\_sadl\_float\_simd512 -- compute PSNR on reconstructed images - -Several version of the encoder/decoder are available (float version, non SIMD etc.) - -4- Details - -File details: -- model\_dec.onnx: contains just the network part with the deconvolution and activation compatible with SADL (e.g. ReLU). -- model\_info.pkl: contains information beside the network itself: -the cdfs, cdfs length and cdfs offset and the quantizers for each deconv layers parameters inside a dict { 'cdfs': nparray, 'cdflen': nparray, 'cdfoff': nparray, 'quantizers': '0.weight': 8, '0.bias': 10, ...} } -- model_enc.onnx: contains just the network part with the convolution and activation compatible with SADL (e.g. ReLU). - - -5- Train a model -The model should be trained with the following constraints: -* decoder uses ReLU (or other SADL compatible activation like leakyReLU) -* quantization: - - the decoder weights and bias have been dynamically quantized (i.e. the parameters are representable on a 16bits signed int) if plan to use the quantized model - - all the latents in the decoder have been dynamically quantized (i.e. the parameters are representable on a 16bits signed int) - - A straightforward dynamic quantization method consists in adding a quantization -> clip -> dequantization module after each operation and on each parameters. -* the final pth contains information on cdf, quantizers etc. - diff --git a/compressai/transforms/__init__.py b/compressai/transforms/__init__.py deleted file mode 100644 index 30a24c2..0000000 --- a/compressai/transforms/__init__.py +++ /dev/null @@ -1,30 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .transforms import * diff --git a/compressai/transforms/functional.py b/compressai/transforms/functional.py deleted file mode 100644 index 93a68ae..0000000 --- a/compressai/transforms/functional.py +++ /dev/null @@ -1,137 +0,0 @@ -from typing import Tuple, Union - -import torch -import torch.nn.functional as F - -from torch import Tensor - -YCBCR_WEIGHTS = { - # Spec: (K_r, K_g, K_b) with K_g = 1 - K_r - K_b - "ITU-R_BT.709": (0.2126, 0.7152, 0.0722) -} - - -def _check_input_tensor(tensor: Tensor) -> None: - if ( - not isinstance(tensor, Tensor) - or not tensor.is_floating_point() - or not len(tensor.size()) in (3, 4) - or not tensor.size(-3) == 3 - ): - raise ValueError( - "Expected a 3D or 4D tensor with shape (Nx3xHxW) or (3xHxW) as input" - ) - - -def rgb2ycbcr(rgb: Tensor) -> Tensor: - """RGB to YCbCr conversion for torch Tensor. - Using ITU-R BT.709 coefficients. - - Args: - rgb (torch.Tensor): 3D or 4D floating point RGB tensor - - Returns: - ycbcr (torch.Tensor): converted tensor - """ - _check_input_tensor(rgb) - - r, g, b = rgb.chunk(3, -3) - Kr, Kg, Kb = YCBCR_WEIGHTS["ITU-R_BT.709"] - y = Kr * r + Kg * g + Kb * b - cb = 0.5 * (b - y) / (1 - Kb) + 0.5 - cr = 0.5 * (r - y) / (1 - Kr) + 0.5 - ycbcr = torch.cat((y, cb, cr), dim=-3) - return ycbcr - - -def ycbcr2rgb(ycbcr: Tensor) -> Tensor: - """YCbCr to RGB conversion for torch Tensor. - Using ITU-R BT.709 coefficients. - - Args: - ycbcr (torch.Tensor): 3D or 4D floating point RGB tensor - - Returns: - rgb (torch.Tensor): converted tensor - """ - _check_input_tensor(ycbcr) - - y, cb, cr = ycbcr.chunk(3, -3) - Kr, Kg, Kb = YCBCR_WEIGHTS["ITU-R_BT.709"] - r = y + (2 - 2 * Kr) * (cr - 0.5) - b = y + (2 - 2 * Kb) * (cb - 0.5) - g = (y - Kr * r - Kb * b) / Kg - rgb = torch.cat((r, g, b), dim=-3) - return rgb - - -def yuv_444_to_420( - yuv: Union[Tensor, Tuple[Tensor, Tensor, Tensor]], - mode: str = "avg_pool", -) -> Tuple[Tensor, Tensor, Tensor]: - """Convert a 444 tensor to a 420 representation. - - Args: - yuv (torch.Tensor or (torch.Tensor, torch.Tensor, torch.Tensor)): 444 - input to be downsampled. Takes either a (Nx3xHxW) tensor or a tuple - of 3 (Nx1xHxW) tensors. - mode (str): algorithm used for downsampling: ``'avg_pool'``. Default - ``'avg_pool'`` - - Returns: - (torch.Tensor, torch.Tensor, torch.Tensor): Converted 420 - """ - if mode not in ("avg_pool",): - raise ValueError(f'Invalid downsampling mode "{mode}".') - - if mode == "avg_pool": - - def _downsample(tensor): - return F.avg_pool2d(tensor, kernel_size=2, stride=2) - - if isinstance(yuv, torch.Tensor): - y, u, v = yuv.chunk(3, 1) - else: - y, u, v = yuv - - return (y, _downsample(u), _downsample(v)) - - -def yuv_420_to_444( - yuv: Tuple[Tensor, Tensor, Tensor], - mode: str = "bilinear", - return_tuple: bool = False, -) -> Union[Tensor, Tuple[Tensor, Tensor, Tensor]]: - """Convert a 420 input to a 444 representation. - - Args: - yuv (torch.Tensor, torch.Tensor, torch.Tensor): 420 input frames in - (Nx1xHxW) format - mode (str): algorithm used for upsampling: ``'bilinear'`` | - | ``'bilinear'`` | ``'nearest'`` Default ``'bilinear'`` - return_tuple (bool): return input as tuple of tensors instead of a - concatenated tensor, 3 (Nx1xHxW) tensors instead of one (Nx3xHxW) - tensor (default: False) - - Returns: - (torch.Tensor or (torch.Tensor, torch.Tensor, torch.Tensor)): Converted - 444 - """ - if len(yuv) != 3 or any(not isinstance(c, torch.Tensor) for c in yuv): - raise ValueError("Expected a tuple of 3 torch tensors") - - if mode not in ("bilinear", "bicubic", "nearest"): - raise ValueError(f'Invalid upsampling mode "{mode}".') - - kwargs = {} - if mode != "nearest": - kwargs = {"align_corners": False} - - def _upsample(tensor): - return F.interpolate(tensor, scale_factor=2, mode=mode, **kwargs) - - y, u, v = yuv - u, v = _upsample(u), _upsample(v) - if return_tuple: - return y, u, v - return torch.cat((y, u, v), dim=1) diff --git a/compressai/transforms/transforms.py b/compressai/transforms/transforms.py deleted file mode 100644 index 06f1721..0000000 --- a/compressai/transforms/transforms.py +++ /dev/null @@ -1,118 +0,0 @@ -from . import functional as F_transforms - -__all__ = [ - "RGB2YCbCr", - "YCbCr2RGB", - "YUV444To420", - "YUV420To444", -] - - -class RGB2YCbCr: - """Convert a RGB tensor to YCbCr. - The tensor is expected to be in the [0, 1] floating point range, with a - shape of (3xHxW) or (Nx3xHxW). - """ - - def __call__(self, rgb): - """ - Args: - rgb (torch.Tensor): 3D or 4D floating point RGB tensor - - Returns: - ycbcr(torch.Tensor): converted tensor - """ - return F_transforms.rgb2ycbcr(rgb) - - def __repr__(self): - return f"{self.__class__.__name__}()" - - -class YCbCr2RGB: - """Convert a YCbCr tensor to RGB. - The tensor is expected to be in the [0, 1] floating point range, with a - shape of (3xHxW) or (Nx3xHxW). - """ - - def __call__(self, ycbcr): - """ - Args: - ycbcr(torch.Tensor): 3D or 4D floating point RGB tensor - - Returns: - rgb(torch.Tensor): converted tensor - """ - return F_transforms.ycbcr2rgb(ycbcr) - - def __repr__(self): - return f"{self.__class__.__name__}()" - - -class YUV444To420: - """Convert a YUV 444 tensor to a 420 representation. - - Args: - mode (str): algorithm used for downsampling: ``'avg_pool'``. Default - ``'avg_pool'`` - - Example: - >>> x = torch.rand(1, 3, 32, 32) - >>> y, u, v = YUV444To420()(x) - >>> y.size() # 1, 1, 32, 32 - >>> u.size() # 1, 1, 16, 16 - """ - - def __init__(self, mode: str = "avg_pool"): - self.mode = str(mode) - - def __call__(self, yuv): - """ - Args: - yuv (torch.Tensor or (torch.Tensor, torch.Tensor, torch.Tensor)): - 444 input to be downsampled. Takes either a (Nx3xHxW) tensor or - a tuple of 3 (Nx1xHxW) tensors. - - Returns: - (torch.Tensor, torch.Tensor, torch.Tensor): Converted 420 - """ - return F_transforms.yuv_444_to_420(yuv, mode=self.mode) - - def __repr__(self): - return f"{self.__class__.__name__}()" - - -class YUV420To444: - """Convert a YUV 420 input to a 444 representation. - - Args: - mode (str): algorithm used for upsampling: ``'bilinear'`` | ``'nearest'``. - Default ``'bilinear'`` - return_tuple (bool): return input as tuple of tensors instead of a - concatenated tensor, 3 (Nx1xHxW) tensors instead of one (Nx3xHxW) - tensor (default: False) - - Example: - >>> y = torch.rand(1, 1, 32, 32) - >>> u, v = torch.rand(1, 1, 16, 16), torch.rand(1, 1, 16, 16) - >>> x = YUV420To444()((y, u, v)) - >>> x.size() # 1, 3, 32, 32 - """ - - def __init__(self, mode: str = "bilinear", return_tuple: bool = False): - self.mode = str(mode) - self.return_tuple = bool(return_tuple) - - def __call__(self, yuv): - """ - Args: - yuv (torch.Tensor, torch.Tensor, torch.Tensor): 420 input frames in - (Nx1xHxW) format - - Returns: - (torch.Tensor or (torch.Tensor, torch.Tensor, torch.Tensor)): Converted - 444 - """ - return F_transforms.yuv_420_to_444(yuv, return_tuple=self.return_tuple) - - def __repr__(self): - return f"{self.__class__.__name__}(return_tuple={self.return_tuple})" diff --git a/compressai/typing/__init__.py b/compressai/typing/__init__.py deleted file mode 100644 index 1c162a6..0000000 --- a/compressai/typing/__init__.py +++ /dev/null @@ -1,48 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .torch import ( - TCriterion, - TDataLoader, - TDataset, - TModel, - TModule, - TOptimizer, - TScheduler, -) - -__all__ = [ - "TCriterion", - "TDataLoader", - "TDataset", - "TModel", - "TModule", - "TOptimizer", - "TScheduler", -] diff --git a/compressai/typing/torch.py b/compressai/typing/torch.py deleted file mode 100644 index 290365c..0000000 --- a/compressai/typing/torch.py +++ /dev/null @@ -1,44 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from typing import Dict, Union - -import torch.nn as nn - -from torch.optim import Optimizer -from torch.optim.lr_scheduler import ReduceLROnPlateau, _LRScheduler -from torch.utils.data import DataLoader, Dataset - -TCriterion = nn.Module -TDataLoader = DataLoader -TDataset = Dataset -TModel = nn.Module -TModule = nn.Module -TOptimizer = Union[Optimizer, Dict[str, Optimizer]] -TScheduler = Union[ReduceLROnPlateau, _LRScheduler] diff --git a/compressai/utils/__init__.py b/compressai/utils/__init__.py index e4861cb..e69de29 100644 --- a/compressai/utils/__init__.py +++ b/compressai/utils/__init__.py @@ -1,28 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/compressai/utils/bench/__init__.py b/compressai/utils/bench/__init__.py deleted file mode 100644 index e4861cb..0000000 --- a/compressai/utils/bench/__init__.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/compressai/utils/bench/__main__.py b/compressai/utils/bench/__main__.py deleted file mode 100644 index f9207c6..0000000 --- a/compressai/utils/bench/__main__.py +++ /dev/null @@ -1,179 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -""" -Collect performance metrics of published traditional or end-to-end image -codecs. -""" -import argparse -import json -import multiprocessing as mp -import sys - -from collections import defaultdict -from itertools import starmap -from pathlib import Path -from typing import List - -from .codecs import AV1, BPG, HM, JPEG, JPEG2000, TFCI, VTM, Codec, WebP - -# from torchvision.datasets.folder -IMG_EXTENSIONS = ( - ".jpg", - ".jpeg", - ".png", - ".ppm", - ".bmp", - ".pgm", - ".tif", - ".tiff", - ".webp", -) - -codecs = [JPEG, WebP, JPEG2000, BPG, TFCI, VTM, HM, AV1] - - -# we need the quality index (not value) to compute the stats later -def func(codec, i, *args): - rv = codec.run(*args) - return i, rv - - -def collect( - codec: Codec, - dataset: str, - qps: List[int], - metrics: List[str], - num_jobs: int = 1, -): - if not Path(dataset).is_dir(): - raise OSError(f"No such directory: {dataset}") - - filepaths = [] - for ext in IMG_EXTENSIONS: - filepaths.extend(Path(dataset).rglob(f"*{ext}")) - - pool = mp.Pool(num_jobs) if num_jobs > 1 else None - - if len(filepaths) == 0: - print("No images found in the dataset directory") - sys.exit(1) - - args = [ - (codec, i, f, q, metrics) for i, q in enumerate(qps) for f in sorted(filepaths) - ] - - if pool: - rv = pool.starmap(func, args) - else: - rv = list(starmap(func, args)) - - results = [defaultdict(float) for _ in range(len(qps))] - - for i, metrics in rv: - for k, v in metrics.items(): - results[i][k] += v - - # aggregate results for all images - for i, _ in enumerate(results): - for k, v in results[i].items(): - results[i][k] = v / len(filepaths) - - # list of dict -> dict of list - out = defaultdict(list) - for r in results: - for k, v in r.items(): - out[k].append(v) - return out - - -def setup_args(): - description = "Collect codec metrics." - parser = argparse.ArgumentParser(description=description) - subparsers = parser.add_subparsers(dest="codec", help="Select codec") - subparsers.required = True - return parser, subparsers - - -def setup_common_args(parser): - parser.add_argument("dataset", type=str) - parser.add_argument( - "-j", - "--num-jobs", - type=int, - metavar="N", - default=1, - help="number of parallel jobs (default: %(default)s)", - ) - parser.add_argument( - "-q", - "--qps", - dest="qps", - type=str, - default="75", - help="list of quality/quantization parameter (default: %(default)s)", - ) - parser.add_argument( - "--metrics", - dest="metrics", - default=["psnr-rgb", "ms-ssim-rgb"], - nargs="+", - help="do not return PSNR and MS-SSIM metrics (use for very small images)", - ) - - -def main(argv): - parser, subparsers = setup_args() - for c in codecs: - cparser = subparsers.add_parser(c.__name__.lower(), help=f"{c.__name__}") - setup_common_args(cparser) - c.setup_args(cparser) - args = parser.parse_args(argv) - - codec_cls = next(c for c in codecs if c.__name__.lower() == args.codec) - codec = codec_cls(args) - qps = [int(q) for q in args.qps.split(",") if q] - results = collect( - codec, - args.dataset, - sorted(qps), - args.metrics, - args.num_jobs, - ) - - output = { - "name": codec.name, - "description": codec.description, - "results": results, - } - - print(json.dumps(output, indent=2)) - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/compressai/utils/bench/codecs.py b/compressai/utils/bench/codecs.py deleted file mode 100644 index 8ee472b..0000000 --- a/compressai/utils/bench/codecs.py +++ /dev/null @@ -1,909 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import abc -import io -import os -import platform -import subprocess -import sys -import time - -from tempfile import mkstemp -from typing import Dict, List, Optional, Union - -import numpy as np -import PIL -import PIL.Image as Image -import torch - -from pytorch_msssim import ms_ssim - -from compressai.transforms.functional import rgb2ycbcr, ycbcr2rgb - -# from torchvision.datasets.folder -IMG_EXTENSIONS = ( - ".jpg", - ".jpeg", - ".png", - ".ppm", - ".bmp", - ".pgm", - ".tif", - ".tiff", - ".webp", -) - - -def filesize(filepath: str) -> int: - """Return file size in bits of `filepath`.""" - if not os.path.isfile(filepath): - raise ValueError(f'Invalid file "{filepath}".') - return os.stat(filepath).st_size - - -def read_image(filepath: str, mode: str = "RGB") -> np.array: - """Return PIL image in the specified `mode` format.""" - if not os.path.isfile(filepath): - raise ValueError(f'Invalid file "{filepath}".') - return Image.open(filepath).convert(mode) - - -def _compute_psnr(a, b, max_val: float = 255.0) -> float: - mse = torch.mean((a - b) ** 2).item() - psnr = 20 * np.log10(max_val) - 10 * np.log10(mse) - return psnr - - -def _compute_ms_ssim(a, b, max_val: float = 255.0) -> float: - return ms_ssim(a, b, data_range=max_val).item() - - -_metric_functions = { - "psnr-rgb": _compute_psnr, - "ms-ssim-rgb": _compute_ms_ssim, -} - - -def compute_metrics( - a: Union[np.array, Image.Image], - b: Union[np.array, Image.Image], - metrics: Optional[List[str]] = None, - max_val: float = 255.0, -) -> Dict[str, float]: - """Returns PSNR and MS-SSIM between images `a` and `b`.""" - - if metrics is None: - metrics = ["psnr-rgb"] - - def _convert(x): - if isinstance(x, Image.Image): - x = np.asarray(x) - x = torch.from_numpy(x.copy()).float().unsqueeze(0) - if x.size(3) == 3: - # (1, H, W, 3) -> (1, 3, H, W) - x = x.permute(0, 3, 1, 2) - return x - - a = _convert(a) - b = _convert(b) - - out = {} - for metric_name in metrics: - out[metric_name] = _metric_functions[metric_name](a, b, max_val) - return out - - -def run_command(cmd, ignore_returncodes=None): - cmd = [str(c) for c in cmd] - try: - rv = subprocess.check_output(cmd) - return rv.decode("ascii") - except subprocess.CalledProcessError as err: - if ignore_returncodes is not None and err.returncode in ignore_returncodes: - return err.output - print(err.output.decode("utf-8")) - sys.exit(1) - - -def _get_ffmpeg_version(): - rv = run_command(["ffmpeg", "-version"]) - return rv.split()[2] - - -def _get_bpg_version(encoder_path): - rv = run_command([encoder_path, "-h"], ignore_returncodes=[1]) - return rv.split()[4] - - -class Codec(abc.ABC): - """Abstract base class""" - - _description = None - - def __init__(self, args): - self._set_args(args) - - def _set_args(self, args): - return args - - @classmethod - @abc.abstractmethod - def setup_args(cls, _parser): - pass - - @property - def description(self): - return self._description - - @property - @abc.abstractmethod - def name(self): - raise NotImplementedError() - - def _load_img(self, img): - return read_image(os.path.abspath(img)) - - @abc.abstractmethod - def _run_impl(self, img, quality, *args, **kwargs): - raise NotImplementedError() - - def run( - self, - in_filepath, - quality: int, - metrics: Optional[List[str]] = None, - return_rec: bool = False, - ): - info, rec = self._run_impl(in_filepath, quality) - info.update(compute_metrics(rec, self._load_img(in_filepath), metrics)) - if return_rec: - return info, rec - return info - - -class PillowCodec(Codec): - """Abstract codec based on Pillow bindings.""" - - fmt = None - - @property - def name(self): - raise NotImplementedError() - - @classmethod - def setup_args(cls, _parser): - pass - - def _run_impl(self, in_filepath, quality): - img = self._load_img(in_filepath) - start = time.time() - tmp = io.BytesIO() - img.save(tmp, format=self.fmt, quality=int(quality)) - enc_time = time.time() - start - tmp.seek(0) - size = tmp.getbuffer().nbytes - - start = time.time() - rec = Image.open(tmp) - rec.load() - dec_time = time.time() - start - - bpp_val = float(size) * 8 / (img.size[0] * img.size[1]) - - out = { - "bpp": bpp_val, - "encoding_time": enc_time, - "decoding_time": dec_time, - } - - return out, rec - - -class JPEG(PillowCodec): - """Use libjpeg linked in Pillow""" - - fmt = "jpeg" - _description = f"JPEG. Pillow version {PIL.__version__}" - - @property - def name(self): - return "JPEG" - - -class WebP(PillowCodec): - """Use libwebp linked in Pillow""" - - fmt = "webp" - _description = f"WebP. Pillow version {PIL.__version__}" - - @property - def name(self): - return "WebP" - - -class BinaryCodec(Codec): - """Call an external binary.""" - - fmt = None - - @property - def name(self): - raise NotImplementedError() - - @classmethod - def setup_args(cls, _parser): - pass - - def _run_impl(self, in_filepath, quality): - fd0, png_filepath = mkstemp(suffix=".png") - fd1, out_filepath = mkstemp(suffix=self.fmt) - - # Encode - start = time.time() - run_command(self._get_encode_cmd(in_filepath, quality, out_filepath)) - enc_time = time.time() - start - size = filesize(out_filepath) - - # Decode - start = time.time() - run_command(self._get_decode_cmd(out_filepath, png_filepath)) - dec_time = time.time() - start - - # Read image - rec = read_image(png_filepath) - os.close(fd0) - os.remove(png_filepath) - os.close(fd1) - os.remove(out_filepath) - - img = self._load_img(in_filepath) - bpp_val = float(size) * 8 / (img.size[0] * img.size[1]) - - out = { - "bpp": bpp_val, - "encoding_time": enc_time, - "decoding_time": dec_time, - } - - return out, rec - - def _get_encode_cmd(self, in_filepath, quality, out_filepath): - raise NotImplementedError() - - def _get_decode_cmd(self, out_filepath, rec_filepath): - raise NotImplementedError() - - -class JPEG2000(BinaryCodec): - """Use ffmpeg version. - (Not built-in support in default Pillow builds) - """ - - fmt = ".jp2" - - @property - def name(self): - return "JPEG2000" - - @property - def description(self): - return f"JPEG2000. ffmpeg version {_get_ffmpeg_version()}" - - def _get_encode_cmd(self, in_filepath, quality, out_filepath): - cmd = [ - "ffmpeg", - "-loglevel", - "panic", - "-y", - "-i", - in_filepath, - "-vcodec", - "jpeg2000", - "-pix_fmt", - "yuv444p", - "-c:v", - "libopenjpeg", - "-compression_level", - quality, - out_filepath, - ] - return cmd - - def _get_decode_cmd(self, out_filepath, rec_filepath): - cmd = ["ffmpeg", "-loglevel", "panic", "-y", "-i", out_filepath, rec_filepath] - return cmd - - -class BPG(BinaryCodec): - """BPG from Fabrice Bellard.""" - - fmt = ".bpg" - - @property - def name(self): - return ( - f"BPG {self.bitdepth}b {self.subsampling_mode} {self.encoder} " - f"{self.color_mode}" - ) - - @property - def description(self): - return f"BPG. BPG version {_get_bpg_version(self.encoder_path)}" - - @classmethod - def setup_args(cls, parser): - super().setup_args(parser) - parser.add_argument( - "-m", - choices=["420", "444"], - default="444", - help="subsampling mode (default: %(default)s)", - ) - parser.add_argument( - "-b", - choices=["8", "10"], - default="8", - help="bitdepth (default: %(default)s)", - ) - parser.add_argument( - "-c", - choices=["rgb", "ycbcr"], - default="ycbcr", - help="colorspace (default: %(default)s)", - ) - parser.add_argument( - "-e", - choices=["jctvc", "x265"], - default="x265", - help="HEVC implementation (default: %(default)s)", - ) - parser.add_argument("--encoder-path", default="bpgenc", help="BPG encoder path") - parser.add_argument("--decoder-path", default="bpgdec", help="BPG decoder path") - - def _set_args(self, args): - args = super()._set_args(args) - self.color_mode = args.c - self.encoder = args.e - self.subsampling_mode = args.m - self.bitdepth = args.b - self.encoder_path = args.encoder_path - self.decoder_path = args.decoder_path - return args - - def _get_encode_cmd(self, in_filepath, quality, out_filepath): - if not 0 <= int(quality) <= 51: - raise ValueError(f"Invalid quality value: {quality} (0,51)") - cmd = [ - self.encoder_path, - "-o", - out_filepath, - "-q", - str(quality), - "-f", - self.subsampling_mode, - "-e", - self.encoder, - "-c", - self.color_mode, - "-b", - self.bitdepth, - in_filepath, - ] - return cmd - - def _get_decode_cmd(self, out_filepath, rec_filepath): - cmd = [self.decoder_path, "-o", rec_filepath, out_filepath] - return cmd - - -class TFCI(BinaryCodec): - """Tensorflow image compression format from tensorflow/compression""" - - fmt = ".tfci" - _models = [ - "bmshj2018-factorized-mse", - "bmshj2018-hyperprior-mse", - "mbt2018-mean-mse", - ] - - @property - def description(self): - return "TFCI" - - @property - def name(self): - return f"{self.model}" - - @classmethod - def setup_args(cls, parser): - super().setup_args(parser) - parser.add_argument( - "-m", - "--model", - choices=cls._models, - default=cls._models[0], - help="model architecture (default: %(default)s)", - ) - parser.add_argument( - "-p", - "--path", - required=True, - help="tfci python script path (default: %(default)s)", - ) - - def _set_args(self, args): - args = super()._set_args(args) - self.model = args.model - self.tfci_path = args.path - return args - - def _get_encode_cmd(self, in_filepath, quality, out_filepath): - if not 1 <= quality <= 8: - raise ValueError(f"Invalid quality value: {quality} (1, 8)") - cmd = [ - sys.executable, - self.tfci_path, - "compress", - f"{self.model}-{quality:d}", - in_filepath, - out_filepath, - ] - return cmd - - def _get_decode_cmd(self, out_filepath, rec_filepath): - cmd = [sys.executable, self.tfci_path, "decompress", out_filepath, rec_filepath] - return cmd - - -def get_vtm_encoder_path(build_dir): - system = platform.system() - try: - elfnames = {"Darwin": "EncoderApp", "Linux": "EncoderAppStatic"} - return os.path.join(build_dir, elfnames[system]) - except KeyError as err: - raise RuntimeError(f'Unsupported platform "{system}"') from err - - -def get_vtm_decoder_path(build_dir): - system = platform.system() - try: - elfnames = {"Darwin": "DecoderApp", "Linux": "DecoderAppStatic"} - return os.path.join(build_dir, elfnames[system]) - except KeyError as err: - raise RuntimeError(f'Unsupported platform "{system}"') from err - - -class VTM(Codec): - """VTM: VVC reference software""" - - fmt = ".bin" - - @property - def description(self): - return "VTM" - - @property - def name(self): - return "VTM" - - @classmethod - def setup_args(cls, parser): - super().setup_args(parser) - parser.add_argument( - "-b", - "--build-dir", - type=str, - required=True, - help="VTM build dir", - ) - parser.add_argument( - "-c", - "--config", - type=str, - required=True, - help="VTM config file", - ) - parser.add_argument( - "--rgb", action="store_true", help="Use RGB color space (over YCbCr)" - ) - - def _set_args(self, args): - args = super()._set_args(args) - self.encoder_path = get_vtm_encoder_path(args.build_dir) - self.decoder_path = get_vtm_decoder_path(args.build_dir) - self.config_path = args.config - self.rgb = args.rgb - return args - - def _run_impl(self, in_filepath, quality): - if not 0 <= quality <= 63: - raise ValueError(f"Invalid quality value: {quality} (0,63)") - - # Taking 8bit input for now - bitdepth = 8 - - # Convert input image to yuv 444 file - arr = np.asarray(self._load_img(in_filepath)) - fd, yuv_path = mkstemp(suffix=".yuv") - out_filepath = os.path.splitext(yuv_path)[0] + ".bin" - - arr = arr.transpose((2, 0, 1)) # color channel first - - if not self.rgb: - # convert rgb content to YCbCr - rgb = torch.from_numpy(arr.copy()).float() / (2**bitdepth - 1) - arr = np.clip(rgb2ycbcr(rgb).numpy(), 0, 1) - arr = (arr * (2**bitdepth - 1)).astype(np.uint8) - - with open(yuv_path, "wb") as f: - f.write(arr.tobytes()) - - # Encode - height, width = arr.shape[1:] - cmd = [ - self.encoder_path, - "-i", - yuv_path, - "-c", - self.config_path, - "-q", - quality, - "-o", - "/dev/null", - "-b", - out_filepath, - "-wdt", - width, - "-hgt", - height, - "-fr", - "1", - "-f", - "1", - "--InputChromaFormat=444", - "--InputBitDepth=8", - "--ConformanceWindowMode=1", - ] - - if self.rgb: - cmd += [ - "--InputColourSpaceConvert=RGBtoGBR", - "--SNRInternalColourSpace=1", - "--OutputInternalColourSpace=0", - ] - start = time.time() - run_command(cmd) - enc_time = time.time() - start - - # cleanup encoder input - os.close(fd) - os.unlink(yuv_path) - - # Decode - cmd = [self.decoder_path, "-b", out_filepath, "-o", yuv_path, "-d", 8] - if self.rgb: - cmd.append("--OutputInternalColourSpace=GBRtoRGB") - - start = time.time() - run_command(cmd) - dec_time = time.time() - start - - # Compute PSNR - rec_arr = np.fromfile(yuv_path, dtype=np.uint8) - rec_arr = rec_arr.reshape(arr.shape) - - arr = arr.astype(np.float32) / (2**bitdepth - 1) - rec_arr = rec_arr.astype(np.float32) / (2**bitdepth - 1) - if not self.rgb: - arr = ycbcr2rgb(torch.from_numpy(arr.copy())).numpy() - rec_arr = ycbcr2rgb(torch.from_numpy(rec_arr.copy())).numpy() - - bpp = filesize(out_filepath) * 8.0 / (height * width) - - # Cleanup - os.unlink(yuv_path) - os.unlink(out_filepath) - - out = { - "bpp": bpp, - "encoding_time": enc_time, - "decoding_time": dec_time, - } - - rec = Image.fromarray( - (rec_arr.clip(0, 1).transpose(1, 2, 0) * 255.0).astype(np.uint8) - ) - return out, rec - - -class HM(Codec): - """HM: H.265/HEVC reference software""" - - fmt = ".bin" - - @property - def description(self): - return "HM" - - @property - def name(self): - return "HM" - - @classmethod - def setup_args(cls, parser): - super().setup_args(parser) - parser.add_argument( - "-b", - "--build-dir", - type=str, - required=True, - help="HM build dir", - ) - parser.add_argument( - "-c", "--config", type=str, required=True, help="HM config file" - ) - parser.add_argument( - "--rgb", action="store_true", help="Use RGB color space (over YCbCr)" - ) - - def _set_args(self, args): - args = super()._set_args(args) - self.encoder_path = os.path.join(args.build_dir, "TAppEncoderStatic") - self.decoder_path = os.path.join(args.build_dir, "TAppDecoderStatic") - self.config_path = args.config - self.rgb = args.rgb - return args - - def _run_impl(self, in_filepath, quality): - if not 0 <= quality <= 51: - raise ValueError(f"Invalid quality value: {quality} (0,51)") - - # Convert input image to yuv 444 file - arr = np.asarray(self._load_img(in_filepath)) - fd, yuv_path = mkstemp(suffix=".yuv") - out_filepath = os.path.splitext(yuv_path)[0] + ".bin" - bitdepth = 8 - - arr = arr.transpose((2, 0, 1)) # color channel first - - if not self.rgb: - # convert rgb content to YCbCr - rgb = torch.from_numpy(arr.copy()).float() / (2**bitdepth - 1) - arr = np.clip(rgb2ycbcr(rgb).numpy(), 0, 1) - arr = (arr * (2**bitdepth - 1)).astype(np.uint8) - - with open(yuv_path, "wb") as f: - f.write(arr.tobytes()) - - # Encode - height, width = arr.shape[1:] - cmd = [ - self.encoder_path, - "-i", - yuv_path, - "-c", - self.config_path, - "-q", - quality, - "-o", - "/dev/null", - "-b", - out_filepath, - "-wdt", - width, - "-hgt", - height, - "-fr", - "1", - "-f", - "1", - "--InputChromaFormat=444", - "--InputBitDepth=8", - "--SEIDecodedPictureHash", - "--Level=5.1", - "--CUNoSplitIntraACT=0", - "--ConformanceMode=1", - ] - - if self.rgb: - cmd += [ - "--InputColourSpaceConvert=RGBtoGBR", - "--SNRInternalColourSpace=1", - "--OutputInternalColourSpace=0", - ] - start = time.time() - - run_command(cmd) - enc_time = time.time() - start - - # cleanup encoder input - os.close(fd) - os.unlink(yuv_path) - - # Decode - cmd = [self.decoder_path, "-b", out_filepath, "-o", yuv_path, "-d", 8] - - if self.rgb: - cmd.append("--OutputInternalColourSpace=GBRtoRGB") - - start = time.time() - run_command(cmd) - dec_time = time.time() - start - # Compute PSNR - rec_arr = np.fromfile(yuv_path, dtype=np.uint8) - rec_arr = rec_arr.reshape(arr.shape) - arr = arr.astype(np.float32) / (2**bitdepth - 1) - rec_arr = rec_arr.astype(np.float32) / (2**bitdepth - 1) - if not self.rgb: - arr = ycbcr2rgb(torch.from_numpy(arr.copy())).numpy() - rec_arr = ycbcr2rgb(torch.from_numpy(rec_arr.copy())).numpy() - - bpp = filesize(out_filepath) * 8.0 / (height * width) - - # Cleanup - os.unlink(yuv_path) - os.unlink(out_filepath) - - out = { - "bpp": bpp, - "encoding_time": enc_time, - "decoding_time": dec_time, - } - - rec = Image.fromarray( - (rec_arr.clip(0, 1).transpose(1, 2, 0) * 255.0).astype(np.uint8) - ) - return out, rec - - -class AV1(Codec): - """AV1: AOM reference software""" - - fmt = ".webm" - - @property - def description(self): - return "AV1" - - @property - def name(self): - return "AV1" - - @classmethod - def setup_args(cls, parser): - super().setup_args(parser) - parser.add_argument( - "-b", - "--build-dir", - type=str, - required=True, - help="AOM binaries dir", - ) - - def _set_args(self, args): - args = super()._set_args(args) - self.encoder_path = os.path.join(args.build_dir, "aomenc") - self.decoder_path = os.path.join(args.build_dir, "aomdec") - return args - - def _run_impl(self, img, quality): - if not 0 <= quality <= 63: - raise ValueError(f"Invalid quality value: {quality} (0,63)") - - # Convert input image to yuv 444 file - arr = np.asarray(img) - fd, yuv_path = mkstemp(suffix=".yuv") - out_filepath = os.path.splitext(yuv_path)[0] + ".webm" - bitdepth = 8 - - arr = arr.transpose((2, 0, 1)) # color channel first - - # convert rgb content to YCbCr - rgb = torch.from_numpy(arr.copy()).float() / (2**bitdepth - 1) - arr = np.clip(rgb2ycbcr(rgb).numpy(), 0, 1) - arr = (arr * (2**bitdepth - 1)).astype(np.uint8) - - with open(yuv_path, "wb") as f: - f.write(arr.tobytes()) - - # Encode - height, width = arr.shape[1:] - cmd = [ - self.encoder_path, - "-w", - width, - "-h", - height, - "--fps=1/1", - "--limit=1", - "--input-bit-depth=8", - "--cpu-used=0", - "--threads=1", - "--passes=2", - "--end-usage=q", - "--cq-level=" + str(quality), - "--i444", - "--skip=0", - "--tune=psnr", - "--psnr", - "--bit-depth=8", - "-o", - out_filepath, - yuv_path, - ] - - start = time.time() - run_command(cmd) - enc_time = time.time() - start - - # cleanup encoder input - os.close(fd) - os.unlink(yuv_path) - - # Decode - cmd = [ - self.decoder_path, - out_filepath, - "-o", - yuv_path, - "--rawvideo", - "--output-bit-depth=8", - ] - - start = time.time() - run_command(cmd) - dec_time = time.time() - start - - # Compute PSNR - rec_arr = np.fromfile(yuv_path, dtype=np.uint8) - rec_arr = rec_arr.reshape(arr.shape) - - arr = arr.astype(np.float32) / (2**bitdepth - 1) - rec_arr = rec_arr.astype(np.float32) / (2**bitdepth - 1) - - arr = ycbcr2rgb(torch.from_numpy(arr.copy())).numpy() - rec_arr = ycbcr2rgb(torch.from_numpy(rec_arr.copy())).numpy() - - bpp = filesize(out_filepath) * 8.0 / (height * width) - - # Cleanup - os.unlink(yuv_path) - os.unlink(out_filepath) - - out = { - "bpp": bpp, - "encoding_time": enc_time, - "decoding_time": dec_time, - } - - rec = Image.fromarray( - (rec_arr.clip(0, 1).transpose(1, 2, 0) * 255.0).astype(np.uint8) - ) - return out, rec diff --git a/compressai/utils/eval_model/__init__.py b/compressai/utils/eval_model/__init__.py deleted file mode 100644 index e4861cb..0000000 --- a/compressai/utils/eval_model/__init__.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/compressai/utils/eval_model/__main__.py b/compressai/utils/eval_model/__main__.py deleted file mode 100644 index a23568b..0000000 --- a/compressai/utils/eval_model/__main__.py +++ /dev/null @@ -1,420 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -""" -Evaluate an end-to-end compression model on an image dataset. -""" -import argparse -import json -import math -import sys -import time - -from collections import defaultdict -from pathlib import Path -from typing import Any, Dict, List - -import torch -import torch.nn as nn -import torch.nn.functional as F - -from PIL import Image -from pytorch_msssim import ms_ssim -from torchvision import transforms - -import compressai - -from compressai.ops import compute_padding -from compressai.zoo import image_models as pretrained_models -from compressai.zoo.image import model_architectures as architectures - -torch.backends.cudnn.deterministic = True -torch.set_num_threads(1) - -# from torchvision.datasets.folder -IMG_EXTENSIONS = ( - ".jpg", - ".jpeg", - ".png", - ".ppm", - ".bmp", - ".pgm", - ".tif", - ".tiff", - ".webp", -) - - -def collect_images(rootpath: str) -> List[str]: - image_files = [] - - for ext in IMG_EXTENSIONS: - image_files.extend(Path(rootpath).rglob(f"*{ext}")) - return sorted(image_files) - - -def psnr(a: torch.Tensor, b: torch.Tensor, max_val: int = 255) -> float: - return 20 * math.log10(max_val) - 10 * torch.log10((a - b).pow(2).mean()) - - -def compute_metrics( - org: torch.Tensor, rec: torch.Tensor, max_val: int = 255 -) -> Dict[str, Any]: - metrics: Dict[str, Any] = {} - org = (org * max_val).clamp(0, max_val).round() - rec = (rec * max_val).clamp(0, max_val).round() - metrics["psnr-rgb"] = psnr(org, rec).item() - metrics["ms-ssim-rgb"] = ms_ssim(org, rec, data_range=max_val).item() - return metrics - - -def read_image(filepath: str) -> torch.Tensor: - assert filepath.is_file() - img = Image.open(filepath).convert("RGB") - return transforms.ToTensor()(img) - - -@torch.no_grad() -def inference(model, x): - x = x.unsqueeze(0) - - h, w = x.size(2), x.size(3) - pad, unpad = compute_padding(h, w, min_div=2**6) # pad to allow 6 strides of 2 - - x_padded = F.pad(x, pad, mode="constant", value=0) - - start = time.time() - out_enc = model.compress(x_padded) - enc_time = time.time() - start - - start = time.time() - out_dec = model.decompress(out_enc["strings"], out_enc["shape"]) - dec_time = time.time() - start - - out_dec["x_hat"] = F.pad(out_dec["x_hat"], unpad) - - # input images are 8bit RGB for now - metrics = compute_metrics(x, out_dec["x_hat"], 255) - num_pixels = x.size(0) * x.size(2) * x.size(3) - bpp = sum(len(s[0]) for s in out_enc["strings"]) * 8.0 / num_pixels - - return { - "psnr-rgb": metrics["psnr-rgb"], - "ms-ssim-rgb": metrics["ms-ssim-rgb"], - "bpp": bpp, - "encoding_time": enc_time, - "decoding_time": dec_time, - } - - -@torch.no_grad() -def inference_entropy_estimation(model, x): - x = x.unsqueeze(0) - - start = time.time() - out_net = model.forward(x) - elapsed_time = time.time() - start - - # input images are 8bit RGB for now - metrics = compute_metrics(x, out_net["x_hat"], 255) - num_pixels = x.size(0) * x.size(2) * x.size(3) - bpp = sum( - (torch.log(likelihoods).sum() / (-math.log(2) * num_pixels)) - for likelihoods in out_net["likelihoods"].values() - ) - - return { - "psnr-rgb": metrics["psnr-rgb"], - "ms-ssim-rgb": metrics["ms-ssim-rgb"], - "bpp": bpp.item(), - "encoding_time": elapsed_time / 2.0, # broad estimation - "decoding_time": elapsed_time / 2.0, - } - - -def load_pretrained(model: str, metric: str, quality: int) -> nn.Module: - return pretrained_models[model]( - quality=quality, metric=metric, pretrained=True, progress=False - ).eval() - - -def load_checkpoint(arch: str, no_update: bool, checkpoint_path: str) -> nn.Module: - # update model if need be - checkpoint = torch.load(checkpoint_path, map_location="cpu") - state_dict = checkpoint - # compatibility with 'not updated yet' trained nets - for key in ["network", "state_dict", "model_state_dict"]: - if key in checkpoint: - state_dict = checkpoint[key] - - model_cls = architectures[arch] - net = model_cls.from_state_dict(state_dict) - if not no_update: - net.update(force=True) - return net.eval() - - -def eval_model( - model: nn.Module, - outputdir: Path, - inputdir: Path, - filepaths, - entropy_estimation: bool = False, - trained_net: str = "", - description: str = "", - **args: Any, -) -> Dict[str, Any]: - device = next(model.parameters()).device - metrics = defaultdict(float) - for filepath in filepaths: - x = read_image(filepath).to(device) - if not entropy_estimation: - if args["half"]: - model = model.half() - x = x.half() - rv = inference(model, x) - else: - rv = inference_entropy_estimation(model, x) - for k, v in rv.items(): - metrics[k] += v - if args["per_image"]: - if not Path(outputdir).is_dir(): - raise FileNotFoundError("Please specify output directory") - - output_subdir = Path(outputdir) / Path(filepath).parent.relative_to( - inputdir - ) - output_subdir.mkdir(parents=True, exist_ok=True) - image_metrics_path = output_subdir / f"{filepath.stem}-{trained_net}.json" - with image_metrics_path.open("wb") as f: - output = { - "source": filepath.stem, - "name": args["architecture"], - "description": f"Inference ({description})", - "results": rv, - } - f.write(json.dumps(output, indent=2).encode()) - - for k, v in metrics.items(): - metrics[k] = v / len(filepaths) - return metrics - - -def setup_args(): - # Common options. - parent_parser = argparse.ArgumentParser(add_help=False) - parent_parser.add_argument("dataset", type=str, help="dataset path") - parent_parser.add_argument( - "-a", - "--architecture", - type=str, - choices=pretrained_models.keys(), - help="model architecture", - required=True, - ) - parent_parser.add_argument( - "-c", - "--entropy-coder", - choices=compressai.available_entropy_coders(), - default=compressai.available_entropy_coders()[0], - help="entropy coder (default: %(default)s)", - ) - parent_parser.add_argument( - "--cuda", - action="store_true", - help="enable CUDA", - ) - parent_parser.add_argument( - "--half", - action="store_true", - help="convert model to half floating point (fp16)", - ) - parent_parser.add_argument( - "--entropy-estimation", - action="store_true", - help="use evaluated entropy estimation (no entropy coding)", - ) - parent_parser.add_argument( - "-v", - "--verbose", - action="store_true", - help="verbose mode", - ) - parent_parser.add_argument( - "-m", - "--metric", - type=str, - choices=["mse", "ms-ssim"], - default="mse", - help="metric trained against (default: %(default)s)", - ) - parent_parser.add_argument( - "-d", - "--output_directory", - type=str, - default="", - help="path of output directory. Optional, required for output json file, results per image. Default will just print the output results.", - ) - parent_parser.add_argument( - "-o", - "--output-file", - type=str, - default="", - help="output json file name, (default: architecture-entropy_coder.json)", - ) - parent_parser.add_argument( - "--per-image", - action="store_true", - help="store results for each image of the dataset, separately", - ) - parser = argparse.ArgumentParser( - description="Evaluate a model on an image dataset.", add_help=True - ) - subparsers = parser.add_subparsers(help="model source", dest="source") - - # Options for pretrained models - pretrained_parser = subparsers.add_parser("pretrained", parents=[parent_parser]) - pretrained_parser.add_argument( - "-q", - "--quality", - dest="qualities", - type=str, - default="1", - help="Pretrained model qualities. (example: '1,2,3,4') (default: %(default)s)", - ) - - checkpoint_parser = subparsers.add_parser("checkpoint", parents=[parent_parser]) - checkpoint_parser.add_argument( - "-p", - "--path", - dest="checkpoint_paths", - type=str, - nargs="*", - required=True, - help="checkpoint path", - ) - checkpoint_parser.add_argument( - "--no-update", - action="store_true", - help="Disable the default update of the model entropy parameters before eval", - ) - return parser - - -def main(argv): - parser = setup_args() - args = parser.parse_args(argv) - - if args.source not in ["checkpoint", "pretrained"]: - print("Error: missing 'checkpoint' or 'pretrained' source.", file=sys.stderr) - parser.print_help() - raise SystemExit(1) - - description = ( - "entropy-estimation" if args.entropy_estimation else args.entropy_coder - ) - - filepaths = collect_images(args.dataset) - if len(filepaths) == 0: - print("Error: no images found in directory.", file=sys.stderr) - raise SystemExit(1) - - compressai.set_entropy_coder(args.entropy_coder) - - # create output directory - if args.output_directory: - Path(args.output_directory).mkdir(parents=True, exist_ok=True) - - if args.source == "pretrained": - args.qualities = [int(q) for q in args.qualities.split(",") if q] - runs = sorted(args.qualities) - opts = (args.architecture, args.metric) - load_func = load_pretrained - log_fmt = "\rEvaluating {0} | {run:d}" - else: - runs = args.checkpoint_paths - opts = (args.architecture, args.no_update) - load_func = load_checkpoint - log_fmt = "\rEvaluating {run:s}" - - results = defaultdict(list) - for run in runs: - if args.verbose: - sys.stderr.write(log_fmt.format(*opts, run=run)) - sys.stderr.flush() - model = load_func(*opts, run) - if args.source == "pretrained": - trained_net = f"{args.architecture}-{args.metric}-{run}-{description}" - else: - cpt_name = Path(run).name[: -len(".tar.pth")] # removesuffix() python3.9 - trained_net = f"{cpt_name}-{description}" - print(f"Using trained model {trained_net}", file=sys.stderr) - if args.cuda and torch.cuda.is_available(): - model = model.to("cuda") - args_dict = vars(args) - metrics = eval_model( - model, - args.output_directory, - args.dataset, - filepaths, - trained_net=trained_net, - description=description, - **args_dict, - ) - for k, v in metrics.items(): - results[k].append(v) - - if args.verbose: - sys.stderr.write("\n") - sys.stderr.flush() - - description = ( - "entropy estimation" if args.entropy_estimation else args.entropy_coder - ) - output = { - "name": f"{args.architecture}-{args.metric}", - "description": f"Inference ({description})", - "results": results, - } - if args.output_directory: - output_file = ( - args.output_file - if args.output_file - else f"{args.architecture}-{description}" - ) - - with (Path(f"{args.output_directory}/{output_file}").with_suffix(".json")).open( - "wb" - ) as f: - f.write(json.dumps(output, indent=2).encode()) - - print(json.dumps(output, indent=2)) - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/compressai/utils/find_close/__init__.py b/compressai/utils/find_close/__init__.py deleted file mode 100644 index e69de29..0000000 diff --git a/compressai/utils/find_close/__main__.py b/compressai/utils/find_close/__main__.py deleted file mode 100644 index d649d5e..0000000 --- a/compressai/utils/find_close/__main__.py +++ /dev/null @@ -1,146 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -""" -Find the closest codec quality parameter to reach a given metric (bpp, ms-ssim, -or psnr). - -Example usages: - * :code:`python -m compressai.utils.find_close webp ~/picture.png 0.5 --metric bpp` - * :code:`python -m compressai.utils.find_close jpeg ~/picture.png 35 --metric psnr --save` -""" - -import argparse -import sys - -from typing import Dict, List, Tuple - -from PIL import Image - -from compressai.utils.bench.codecs import AV1, BPG, HM, JPEG, JPEG2000, VTM, Codec, WebP - - -def get_codec_q_bounds(codec: Codec) -> Tuple[bool, int, int]: - rev = False # higher Q -> better quality or reverse - if isinstance(codec, (JPEG, JPEG2000, WebP)): - lower = -1 - upper = 101 - elif isinstance(codec, (BPG, HM)): - lower = -1 - upper = 51 - rev = True - elif isinstance(codec, (AV1, VTM)): - lower = -1 - upper = 64 - rev = True - else: - raise ValueError(f"Invalid codec {codec}") - return rev, lower, upper - - -def find_closest( - codec: Codec, img: str, target: float, metric: str = "psnr-rgb" -) -> Tuple[int, Dict[str, float], Image.Image]: - rev, lower, upper = get_codec_q_bounds(codec) - - best_rv = {} - best_rec = None - while upper > lower + 1: - mid = (upper + lower) // 2 - rv, rec = codec.run(img, mid, return_rec=True) - is_best = best_rv == {} or abs(rv[metric] - target) < abs( - best_rv[metric] - target - ) - if is_best: - best_rv = rv - best_rec = rec - if rv[metric] > target: - if not rev: - upper = mid - else: - lower = mid - elif rv[metric] < target: - if not rev: - lower = mid - else: - upper = mid - else: - break - sys.stderr.write( - f"\rtarget {metric}: {target:.4f} | value: {rv[metric]:.4f} | q: {mid}" - ) - sys.stderr.flush() - sys.stderr.write("\n") - sys.stderr.flush() - return mid, best_rv, best_rec - - -codecs = [JPEG, WebP, JPEG2000, BPG, VTM, HM, AV1] - - -def setup_args(): - description = "Collect codec metrics and performances." - parser = argparse.ArgumentParser(description=description) - subparsers = parser.add_subparsers(dest="codec", help="Select codec") - subparsers.required = True - parser.add_argument("image", type=str, help="image filepath") - parser.add_argument("target", type=float, help="target value to match") - parser.add_argument( - "-m", - "--metric", - type=str, - choices=["bpp", "psnr-rgb", "ms-ssim-rgb"], - default="bpp", - ) - parser.add_argument( - "--save", action="store_true", help="Save reconstructed image to disk" - ) - return parser, subparsers - - -def main(argv: List[str]): - parser, subparsers = setup_args() - for c in codecs: - cparser = subparsers.add_parser(c.__name__.lower(), help=f"{c.__name__}") - c.setup_args(cparser) - args = parser.parse_args(argv) - - codec_cls = next(c for c in codecs if c.__name__.lower() == args.codec) - codec = codec_cls(args) - - quality, metrics, rec = find_closest(codec, args.image, args.target, args.metric) - for k, v in metrics.items(): - print(f"{k}: {v:.4f}") - - if args.save: - rec.save(f"output_{codec_cls.__name__.lower()}_q{quality}.png") - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/compressai/utils/plot/__init__.py b/compressai/utils/plot/__init__.py index e4861cb..e69de29 100644 --- a/compressai/utils/plot/__init__.py +++ b/compressai/utils/plot/__init__.py @@ -1,28 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/compressai/utils/update_model/__init__.py b/compressai/utils/update_model/__init__.py deleted file mode 100644 index e4861cb..0000000 --- a/compressai/utils/update_model/__init__.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/compressai/utils/update_model/__main__.py b/compressai/utils/update_model/__main__.py deleted file mode 100644 index a78680c..0000000 --- a/compressai/utils/update_model/__main__.py +++ /dev/null @@ -1,165 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -""" -Update the CDFs parameters of a trained model. - -To be called on a model checkpoint after training. This will update the internal -CDFs related buffers required for entropy coding. -""" -import argparse -import hashlib -import sys - -from pathlib import Path -from typing import Dict - -import torch - -from compressai.models.google import ( - FactorizedPrior, - JointAutoregressiveHierarchicalPriors, - MeanScaleHyperprior, - ScaleHyperprior, -) -from compressai.models.video.google import ScaleSpaceFlow -from compressai.zoo import load_state_dict -from compressai.zoo.image import model_architectures as zoo_models - - -def sha256_file(filepath: Path, len_hash_prefix: int = 8) -> str: - # from pytorch github repo - sha256 = hashlib.sha256() - with filepath.open("rb") as f: - while True: - buf = f.read(8192) - if len(buf) == 0: - break - sha256.update(buf) - digest = sha256.hexdigest() - - return digest[:len_hash_prefix] - - -def load_checkpoint(filepath: Path) -> Dict[str, torch.Tensor]: - checkpoint = torch.load(filepath, map_location="cpu") - - if "network" in checkpoint: - state_dict = checkpoint["network"] - elif "state_dict" in checkpoint: - state_dict = checkpoint["state_dict"] - else: - state_dict = checkpoint - - state_dict = load_state_dict(state_dict) - return state_dict - - -description = """ -Export a trained model to a new checkpoint with updated CDFs and a -hash prefix so that it can be loaded later via `load_state_dict_from_url`. -""".strip() - -models = { - "factorized-prior": FactorizedPrior, - "jarhp": JointAutoregressiveHierarchicalPriors, - "mean-scale-hyperprior": MeanScaleHyperprior, - "scale-hyperprior": ScaleHyperprior, - "ssf2020": ScaleSpaceFlow, -} -models.update(zoo_models) - - -def setup_args(): - parser = argparse.ArgumentParser(description=description) - parser.add_argument( - "filepath", type=str, help="Path to the checkpoint model to be exported." - ) - parser.add_argument("-n", "--name", type=str, help="Exported model name.") - parser.add_argument("-d", "--dir", type=str, help="Exported model directory.") - parser.add_argument( - "--no-update", - action="store_true", - default=False, - help="Do not update the model CDFs parameters.", - ) - parser.add_argument( - "-a", - "--architecture", - default="scale-hyperprior", - choices=models.keys(), - help="Set model architecture (default: %(default)s).", - ) - return parser - - -def main(argv): - args = setup_args().parse_args(argv) - - filepath = Path(args.filepath).resolve() - if not filepath.is_file(): - raise RuntimeError(f'"{filepath}" is not a valid file.') - - state_dict = load_checkpoint(filepath) - - model_cls_or_entrypoint = models[args.architecture] - if not isinstance(model_cls_or_entrypoint, type): - model_cls = model_cls_or_entrypoint() - else: - model_cls = model_cls_or_entrypoint - net = model_cls.from_state_dict(state_dict) - - if not args.no_update: - net.update(force=True) - state_dict = net.state_dict() - - if not args.name: - filename = filepath - while filename.suffixes: - filename = Path(filename.stem) - else: - filename = args.name - - ext = "".join(filepath.suffixes) - - if args.dir is not None: - output_dir = Path(args.dir) - Path(output_dir).mkdir(exist_ok=True) - else: - output_dir = Path.cwd() - - filepath = output_dir / f"{filename}{ext}" - torch.save(state_dict, filepath) - hash_prefix = sha256_file(filepath) - - filepath.rename(f"{output_dir}/{filename}-{hash_prefix}{ext}") - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/compressai/utils/video/__init__.py b/compressai/utils/video/__init__.py deleted file mode 100644 index e4861cb..0000000 --- a/compressai/utils/video/__init__.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/compressai/utils/video/bench/__init__.py b/compressai/utils/video/bench/__init__.py deleted file mode 100644 index e4861cb..0000000 --- a/compressai/utils/video/bench/__init__.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/compressai/utils/video/bench/__main__.py b/compressai/utils/video/bench/__main__.py deleted file mode 100644 index b59588c..0000000 --- a/compressai/utils/video/bench/__main__.py +++ /dev/null @@ -1,364 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import argparse -import json -import multiprocessing as mp -import subprocess -import sys -import tempfile - -from collections import defaultdict -from itertools import starmap -from pathlib import Path -from typing import Any, Dict, List, Optional, Tuple, Union - -import numpy as np -import torch - -from pytorch_msssim import ms_ssim # type: ignore -from torch import Tensor -from torch.utils.model_zoo import tqdm - -from compressai.datasets.rawvideo import RawVideoSequence, VideoFormat -from compressai.transforms.functional import ycbcr2rgb, yuv_420_to_444 - -from .codecs import HM, VTM, Codec, x264, x265 - -codec_classes = [x264, x265, VTM, HM] - - -Frame = Union[Tuple[Tensor, Tensor, Tensor], Tuple[Tensor, ...]] - - -def func(codec, i, filepath, qp, outputdir, inputdir, cuda, force, dry_run): - binpath = codec.get_bin_path(filepath, qp, outputdir, inputdir) - encode_cmd = codec.get_encode_cmd(filepath, qp, binpath) - - # encode sequence if not already encoded - if force: - binpath.unlink(missing_ok=True) - if not binpath.is_file(): - logpath = binpath.with_suffix(".log") - run_cmdline(encode_cmd, logpath=logpath, dry_run=dry_run) - - # compute metrics if not already performed - sequence_metrics_path = binpath.with_suffix(".json") - - if force: - sequence_metrics_path.unlink(missing_ok=True) - if sequence_metrics_path.is_file(): - print( - f"warning: using existing results {sequence_metrics_path}", file=sys.stderr - ) - with sequence_metrics_path.open("r") as f: - metrics = json.load(f)["results"] - return i, qp, metrics - else: - with tempfile.NamedTemporaryFile(suffix=".yuv", delete=True) as f: - # decode sequence - decode_cmd = codec.get_decode_cmd(binpath, f.name, filepath) - run_cmdline(decode_cmd) - - # compute metrics - metrics = evaluate(filepath, Path(f.name), binpath, cuda) - output = { - "source": filepath.stem, - "name": codec.name_config(), - "description": codec.description(), - "results": metrics, - } - with sequence_metrics_path.open("wb") as f: - f.write(json.dumps(output, indent=2).encode()) - return i, qp, metrics - - -def to_tensors( - frame: Tuple[np.ndarray, np.ndarray, np.ndarray], - max_value: int = 1, - device: str = "cpu", -) -> Frame: - return tuple( - torch.from_numpy(np.true_divide(c, max_value, dtype=np.float32)).to(device) - for c in frame - ) - - -def run_cmdline( - cmdline: List[Any], logpath: Optional[Path] = None, dry_run: bool = False -) -> None: - cmdline = list(map(str, cmdline)) - print(f"--> Running: {' '.join(cmdline)}", file=sys.stderr) - - if dry_run: - return - - if logpath is None: - out = subprocess.check_output(cmdline).decode() - if out: - print(out) - return - - p = subprocess.Popen(cmdline, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) - with logpath.open("w") as f: - if p.stdout is not None: - for bline in p.stdout: - line = bline.decode() - f.write(line) - p.wait() - - -def compute_metrics_for_frame( - org_frame: Frame, - dec_frame: Frame, - bitdepth: int = 8, -) -> Dict[str, Any]: - org_frame = tuple(p.unsqueeze(0).unsqueeze(0) for p in org_frame) # type: ignore - dec_frame = tuple(p.unsqueeze(0).unsqueeze(0) for p in dec_frame) # type:ignore - out: Dict[str, Any] = {} - - max_val = 2**bitdepth - 1 - - # YCbCr metrics - for i, component in enumerate("yuv"): - out[f"mse-{component}"] = (org_frame[i] - dec_frame[i]).pow(2).mean() - - org_rgb = ycbcr2rgb(yuv_420_to_444(org_frame, mode="bicubic").true_divide(max_val)) # type: ignore - dec_rgb = ycbcr2rgb(yuv_420_to_444(dec_frame, mode="bicubic").true_divide(max_val)) # type: ignore - - org_rgb = (org_rgb * max_val).clamp(0, max_val).round() - dec_rgb = (dec_rgb * max_val).clamp(0, max_val).round() - mse_rgb = (org_rgb - dec_rgb).pow(2).mean() - - ms_ssim_rgb = ms_ssim(org_rgb, dec_rgb, data_range=max_val) - out.update({"ms-ssim-rgb": ms_ssim_rgb, "mse-rgb": mse_rgb}) - return out - - -def get_filesize(filepath: Union[Path, str]) -> int: - return Path(filepath).stat().st_size - - -def evaluate( - org_seq_path: Path, - dec_seq_path: Path, - bitstream_path: Path, - cuda: bool = False, -) -> Dict[str, Any]: - # load original and decoded sequences - org_seq = RawVideoSequence.from_file(str(org_seq_path)) - dec_seq = RawVideoSequence.new_like(org_seq, str(dec_seq_path)) - - max_val = 2**org_seq.bitdepth - 1 - num_frames = len(org_seq) - - if len(dec_seq) != num_frames: - raise RuntimeError( - "Invalid number of frames in decoded sequence " - f"({num_frames}!={len(dec_seq)})" - ) - - if org_seq.format != VideoFormat.YUV420: - raise NotImplementedError(f"Unsupported video format: {org_seq.format}") - - # compute metrics for each frame - results = defaultdict(list) - device = "cuda" if cuda else "cpu" - with tqdm(total=num_frames) as pbar: - for i in range(num_frames): - org_frame = to_tensors(org_seq[i], device=device) - dec_frame = to_tensors(dec_seq[i], device=device) - metrics = compute_metrics_for_frame(org_frame, dec_frame, org_seq.bitdepth) - for k, v in metrics.items(): - results[k].append(v) - pbar.update(1) - - # compute average metrics for sequence - seq_results: Dict[str, Any] = { - k: torch.mean(torch.stack(v)) for k, v in results.items() - } - filesize = get_filesize(bitstream_path) - seq_results["bitrate"] = float( - filesize * 8 * org_seq.framerate / (num_frames * 1000) - ) - - seq_results["psnr-rgb"] = ( - 20 * np.log10(max_val) - 10 * torch.log10(seq_results.pop("mse-rgb")).item() - ) - for component in "yuv": - seq_results[f"psnr-{component}"] = ( - 20 * np.log10(max_val) - - 10 * torch.log10(seq_results.pop(f"mse-{component}")).item() - ) - seq_results["psnr-yuv"] = ( - 4 * seq_results["psnr-y"] + seq_results["psnr-u"] + seq_results["psnr-v"] - ) / 6 - for k, v in seq_results.items(): - if isinstance(v, torch.Tensor): - seq_results[k] = v.item() - return seq_results - - -def collect( - dataset: Path, - codec_class: Codec, - outputdir: Path, - qps: List[int], - num_jobs: int = 1, - **args: Any, -) -> Dict[str, Any]: - # create output directory - Path(outputdir).mkdir(parents=True, exist_ok=True) - - pool = mp.Pool(num_jobs) if num_jobs > 1 else None - - filepaths = sorted(Path(dataset).rglob("*.yuv")) - args = [ - ( - codec_class, - i, - f, - q, - outputdir, - dataset, - args["cuda"], - args["force"], - args["dry_run"], - ) - for i, q in enumerate(qps) - for f in filepaths - ] - - if pool: - rv = pool.starmap(func, args) - else: - rv = list(starmap(func, args)) - - results = [defaultdict(float) for _ in range(len(qps))] - - for i, qp, metrics in rv: - results[i]["qp"] = qp - for k, v in metrics.items(): - results[i][k] += v - - # aggregate results for all videos - for i, _ in enumerate(results): - for k, v in results[i].items(): - if k != "qp": - results[i][k] = v / len(filepaths) - - # list of dict -> dict of list - out = defaultdict(list) - for r in results: - for k, v in r.items(): - out[k].append(v) - return out - - -def create_parser() -> ( - Tuple[argparse.ArgumentParser, argparse.ArgumentParser, argparse._SubParsersAction] -): - parser = argparse.ArgumentParser( - description="Video codec baselines.", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parent_parser = argparse.ArgumentParser(add_help=False) - parent_parser.add_argument("dataset", type=str, help="sequences directory") - parent_parser.add_argument("outputdir", type=str, help="output directory") - parent_parser.add_argument("-n", "--dry-run", action="store_true", help="dry run") - parent_parser.add_argument( - "-f", "--force", action="store_true", help="overwrite previous runs" - ) - parent_parser.add_argument( - "-j", - "--num-jobs", - type=int, - metavar="N", - default=1, - help="number of parallel jobs (default: %(default)s)", - ) - parent_parser.add_argument( - "-q", - "--qps", - dest="qps", - type=str, - default="1", - help="list of quality/quantization parameter. (example: '22,27,32,37') (default: %(default)s)", - ) - parent_parser.add_argument("--cuda", action="store_true", help="use cuda") - subparsers = parser.add_subparsers(dest="codec", help="video codec") - subparsers.required = True - return parser, parent_parser, subparsers - - -def main(args: Any = None) -> None: - if args is None: - args = sys.argv[1:] - parser, parent_parser, subparsers = create_parser() - - codec_lookup = {} - for cls in codec_classes: - codec_class = cls() - codec_lookup[codec_class.name] = codec_class - codec_parser = subparsers.add_parser( - codec_class.name, - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - parents=[parent_parser], - ) - codec_class.add_parser_args(codec_parser) - - args = parser.parse_args(args) - - codec_class = codec_lookup[args.codec] - codec_class.set_args(args) - - args = vars(args) - outputdir = args.pop("outputdir") - qps = [int(q) for q in args.pop("qps").split(",") if q] - results = collect( - args.pop("dataset"), - codec_class, - outputdir, - sorted(qps), - **args, - ) - - output = { - "name": codec_class.name_config(), - "description": codec_class.description(), - "results": results, - } - - with (Path(f"{outputdir}/{codec_class.name_config()}.json")).open("wb") as f: - f.write(json.dumps(output, indent=2).encode()) - print(json.dumps(output, indent=2)) - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/compressai/utils/video/bench/codecs.py b/compressai/utils/video/bench/codecs.py deleted file mode 100644 index a1bb00d..0000000 --- a/compressai/utils/video/bench/codecs.py +++ /dev/null @@ -1,406 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import abc -import argparse -import platform -import subprocess -import sys - -from pathlib import Path -from typing import Any, List - -from compressai.datasets.rawvideo import RawVideoSequence, get_raw_video_file_info - - -def run_command(cmd, ignore_returncodes=None): - cmd = [str(c) for c in cmd] - try: - rv = subprocess.check_output(cmd) - return rv.decode("ascii") - except subprocess.CalledProcessError as err: - if ignore_returncodes is not None and err.returncode in ignore_returncodes: - return err.output - print(err.output.decode("utf-8")) - sys.exit(1) - - -class Codec(abc.ABC): - # name = "" - description = "" - help = "" - - @property - @abc.abstractmethod - def name(self): - raise NotImplementedError() - - @property - def description(self): - return self._description - - @abc.abstractmethod - def add_parser_args(self, parser: argparse.ArgumentParser) -> None: - pass - - def set_args(self, args): - return args - - @abc.abstractmethod - def get_bin_path(self, filepath: Path, inputdir: Path, **args: Any) -> Path: - raise NotImplementedError - - @abc.abstractmethod - def get_encode_cmd( - self, filepath: Path, qp: int, binpath: Path, **args: Any - ) -> List[Any]: - raise NotImplementedError - - @abc.abstractmethod - def get_decode_cmd(self, filepath: Path, **args: Any) -> List[Any]: - raise NotImplementedError - - -def get_ffmpeg_version(): - rv = run_command(["ffmpeg", "-version"]) - return rv.split()[2] - - -class x264(Codec): - preset = "" - tune = "" - - @property - def name(self): - return "x264" - - def description(self): - return f"{self.name} {self.preset}, {self.tune}, ffmpeg version {get_ffmpeg_version()}" - - def name_config(self): - return f"{self.name}-{self.preset}-tune-{self.tune}" - - def add_parser_args(self, parser: argparse.ArgumentParser) -> None: - parser.add_argument("-p", "--preset", default="medium", help="preset") - parser.add_argument( - "--tune", - default="psnr-rgb", - help="tune encoder for psnr or ssim (default: %(default)s)", - ) - - def set_args(self, args): - args = super().set_args(args) - self.preset = args.preset - self.tune = args.tune - return args - - def get_bin_path(self, filepath: Path, qp, binpath: str, inputdir: Path) -> Path: - bin_subdir = Path(binpath) / Path(filepath).parent.relative_to(inputdir) - bin_subdir.mkdir(parents=True, exist_ok=True) - return bin_subdir / ( - f"{filepath.stem}_{self.name}_{self.preset}_tune-{self.tune}_qp{qp}.mp4" - ) - - def get_encode_cmd(self, filepath: Path, qp: int, binpath: Path) -> List[Any]: - info = get_raw_video_file_info(filepath.stem) - cmd = [ - "ffmpeg", - "-y", - "-s:v", - f"{info['width']}x{info['height']}", - "-i", - filepath, - "-c:v", - "h264", - "-crf", - qp, - "-preset", - self.preset, - "-bf", - 0, - "-tune", - self.tune, - "-pix_fmt", - "yuv420p", - "-threads", - "4", - binpath, - ] - return cmd - - def get_decode_cmd( - self, binpath: Path, decpath: Path, input_filepath: Path - ) -> List[Any]: - del input_filepath # unused here - cmd = [ - "ffmpeg", - "-y", - "-i", - binpath, - "-pix_fmt", - "yuv420p", - decpath, - ] - return cmd - - -class x265(x264): - @property - def name(self): - return "x265" - - def get_encode_cmd(self, filepath: Path, qp: int, binpath: Path) -> List[Any]: - info = get_raw_video_file_info(filepath.stem) - cmd = [ - "ffmpeg", - "-s:v", - f"{info['width']}x{info['height']}", - "-i", - filepath, - "-c:v", - "hevc", - "-crf", - qp, - "-preset", - self.preset, - "-x265-params", - "bframes=0", - "-tune", - self.tune, - "-pix_fmt", - "yuv420p", - "-threads", - "4", - binpath, - ] - return cmd - - -class VTM(Codec): - """VTM: VVC reference software""" - - binext = "bin" - config = "" - - @property - def name(self): - return "VTM" - - def description(self): - return f"VTM reference software, version {self.get_version(self.encoder_path)}" - - def name_config(self): - return f"{self.name}-v{self.get_version(self.encoder_path)}-{self.config}" - - def get_version(selfm, encoder_path): - rv = run_command([encoder_path, "--help"], ignore_returncodes=[1]) - version = rv.split(b"\n")[1].split()[4].decode().strip("[]") - return version - - def get_encoder_path(self, build_dir): - system = platform.system() - try: - elfnames = {"Darwin": "EncoderApp", "Linux": "EncoderAppStatic"} - return Path(build_dir) / elfnames[system] - except KeyError as err: - raise RuntimeError(f'Unsupported platform "{system}"') from err - - def get_decoder_path(self, build_dir): - system = platform.system() - try: - elfnames = {"Darwin": "DecoderApp", "Linux": "DecoderAppStatic"} - return Path(build_dir) / elfnames[system] - except KeyError as err: - raise RuntimeError(f'Unsupported platform "{system}"') from err - - @classmethod - def add_parser_args(self, parser: argparse.ArgumentParser) -> None: - parser.add_argument( - "-b", - "--build-dir", - type=str, - required=True, - help="VTM build dir", - ) - parser.add_argument( - "-c", - "--config", - type=str, - required=True, - help="VTM config file", - ) - parser.add_argument( - "--rgb", action="store_true", help="Use RGB color space (over YCbCr)" - ) - - def set_args(self, args): - args = super().set_args(args) - self.encoder_path = self.get_encoder_path(args.build_dir) - self.decoder_path = self.get_decoder_path(args.build_dir) - self.config_path = args.config - self.config = Path(self.config_path).stem.split("_")[1] - self.version = self.get_version(self.encoder_path) - self.rgb = args.rgb - return args - - def get_encode_cmd(self, filepath: Path, qp, binpath) -> List[Any]: - info = get_raw_video_file_info(filepath.stem) - num_frames = len(RawVideoSequence.from_file(str(filepath))) - cmd = [ - self.encoder_path, - "-i", - filepath, - "-c", - self.config_path, - "-q", - qp, - "-o", - "/dev/null", - "-b", - binpath, - "-wdt", - info["width"], - "-hgt", - info["height"], - "-fr", - info["framerate"], - "-f", - num_frames, - f'--InputBitDepth={info["bitdepth"]}', - f'--OutputBitDepth={info["bitdepth"]}', - # "--ConformanceWindowMode=1", - ] - - if self.rgb: - cmd += [ - "--InputColourSpaceConvert=RGBtoGBR", - "--SNRInternalColourSpace=1", - "--OutputInternalColourSpace=0", - ] - return cmd - - def get_bin_path(self, filepath: Path, qp, binpath: str, inputdir: Path) -> Path: - bin_subdir = Path(binpath) / Path(filepath).parent.relative_to(inputdir) - bin_subdir.mkdir(parents=True, exist_ok=True) - return bin_subdir / ( - f"{filepath.stem}_{self.name}_{self.config}_qp{qp}.{self.binext}" - ) - - def get_decode_cmd( - self, binpath: Path, decpath: Path, input_filepath: Path - ) -> List[Any]: - output_bitdepth = get_raw_video_file_info(input_filepath.stem)["bitdepth"] - cmd = [self.decoder_path, "-b", binpath, "-o", decpath, "-d", output_bitdepth] - return cmd - - -class HM(VTM): - """HM: HEVC reference software""" - - binext = "bin" - config = "" - - @property - def name(self): - return "HM" - - def description(self): - return f"HM reference software, version {self.get_version(self.encoder_path)}" - - def name_config(self): - return f"{self.name}-v{self.get_version(self.encoder_path)}-{self.config}" - - def get_encoder_path(self, build_dir): - system = platform.system() - try: - elfnames = {"Darwin": "TAppEncoder", "Linux": "TAppEncoderStatic"} - return Path(build_dir) / elfnames[system] - except KeyError as err: - raise RuntimeError(f'Unsupported platform "{system}"') from err - - def get_decoder_path(self, build_dir): - system = platform.system() - try: - elfnames = {"Darwin": "TAppDecoder", "Linux": "TAppDecoderStatic"} - return Path(build_dir) / elfnames[system] - except KeyError as err: - raise RuntimeError(f'Unsupported platform "{system}"') from err - - def set_args(self, args): - args = super().set_args(args) - self.encoder_path = self.get_encoder_path(args.build_dir) - self.decoder_path = self.get_decoder_path(args.build_dir) - self.config_path = args.config - self.config = Path(self.config_path).stem.split("_")[1] - self.version = self.get_version(self.encoder_path) - self.rgb = args.rgb - return args - - def get_encode_cmd(self, filepath: Path, qp, binpath) -> List[Any]: - info = get_raw_video_file_info(filepath.stem) - num_frames = len(RawVideoSequence.from_file(str(filepath))) - cmd = [ - self.encoder_path, - "-i", - filepath, - "-c", - self.config_path, - "-q", - qp, - "-o", - "/dev/null", - "-b", - binpath, - "-wdt", - info["width"], - "-hgt", - info["height"], - "-fr", - info["framerate"], - "-f", - num_frames, - f'--InputBitDepth={info["bitdepth"]}', - f'--OutputBitDepth={info["bitdepth"]}', - # "--ConformanceWindowMode=1", - ] - - if self.rgb: - cmd += [ - "--InputColourSpaceConvert=RGBtoGBR", - "--SNRInternalColourSpace=1", - "--OutputInternalColourSpace=0", - ] - return cmd - - def get_decode_cmd( - self, binpath: Path, decpath: Path, input_filepath: Path - ) -> List[Any]: - output_bitdepth = get_raw_video_file_info(input_filepath.stem)["bitdepth"] - cmd = [self.decoder_path, "-b", binpath, "-o", decpath, "-d", output_bitdepth] - return cmd diff --git a/compressai/utils/video/eval_model/__init__.py b/compressai/utils/video/eval_model/__init__.py deleted file mode 100644 index e4861cb..0000000 --- a/compressai/utils/video/eval_model/__init__.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/compressai/utils/video/eval_model/__main__.py b/compressai/utils/video/eval_model/__main__.py deleted file mode 100644 index 2cfb1e9..0000000 --- a/compressai/utils/video/eval_model/__main__.py +++ /dev/null @@ -1,588 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import argparse -import json -import math -import struct -import sys - -from collections import defaultdict -from pathlib import Path -from typing import Any, Dict, List, Tuple, Union - -import numpy as np -import torch -import torch.nn as nn -import torch.nn.functional as F - -from pytorch_msssim import ms_ssim -from torch import Tensor -from torch.cuda import amp -from torch.utils.model_zoo import tqdm - -import compressai - -from compressai.datasets import RawVideoSequence, VideoFormat -from compressai.models.video.google import ScaleSpaceFlow -from compressai.ops import compute_padding -from compressai.transforms.functional import ( - rgb2ycbcr, - ycbcr2rgb, - yuv_420_to_444, - yuv_444_to_420, -) -from compressai.zoo import video_models as pretrained_models - -models = {"ssf2020": ScaleSpaceFlow} - -Frame = Union[Tuple[Tensor, Tensor, Tensor], Tuple[Tensor, ...]] - -RAWVIDEO_EXTENSIONS = (".yuv",) # read raw yuv videos for now - - -def collect_videos(rootpath: str) -> List[str]: - video_files = [] - for ext in RAWVIDEO_EXTENSIONS: - video_files.extend(Path(rootpath).rglob(f"*{ext}")) - return sorted(video_files) - - -# TODO (racapef) duplicate from bench -def to_tensors( - frame: Tuple[np.ndarray, np.ndarray, np.ndarray], - max_value: int = 1, - device: str = "cpu", -) -> Frame: - return tuple( - torch.from_numpy(np.true_divide(c, max_value, dtype=np.float32)).to(device) - for c in frame - ) - - -def aggregate_results(filepaths: List[Path]) -> Dict[str, Any]: - metrics = defaultdict(list) - - # sum - for f in filepaths: - with f.open("r") as fd: - data = json.load(fd) - for k, v in data["results"].items(): - metrics[k].append(v) - - # normalize - agg = {k: np.mean(v) for k, v in metrics.items()} - return agg - - -def convert_yuv420_to_rgb( - frame: Tuple[np.ndarray, np.ndarray, np.ndarray], device: torch.device, max_val: int -) -> Tensor: - # yuv420 [0, 2**bitdepth-1] to rgb 444 [0, 1] only for now - out = to_tensors(frame, device=str(device), max_value=max_val) - out = yuv_420_to_444( - tuple(c.unsqueeze(0).unsqueeze(0) for c in out), mode="bicubic" # type: ignore - ) - return ycbcr2rgb(out) # type: ignore - - -def convert_rgb_to_yuv420(frame: Tensor) -> Tuple[np.ndarray, np.ndarray, np.ndarray]: - # yuv420 [0, 2**bitdepth-1] to rgb 444 [0, 1] only for now - return yuv_444_to_420(rgb2ycbcr(frame), mode="avg_pool") - - -def pad(x: Tensor, p: int = 2 ** (4 + 3)) -> Tuple[Tensor, Tuple[int, ...]]: - h, w = x.size(2), x.size(3) - padding, _ = compute_padding(h, w, min_div=p) - x = F.pad(x, padding, mode="constant", value=0) - return x, padding - - -def crop(x: Tensor, padding: Tuple[int, ...]) -> Tensor: - return F.pad(x, tuple(-p for p in padding)) - - -def compute_metrics_for_frame( - org_frame: Frame, - rec_frame: Tensor, - device: str = "cpu", - max_val: int = 255, -) -> Dict[str, Any]: - out: Dict[str, Any] = {} - - # YCbCr metrics - org_yuv = to_tensors(org_frame, device=str(device), max_value=max_val) - org_yuv = tuple(p.unsqueeze(0).unsqueeze(0) for p in org_yuv) # type: ignore - rec_yuv = convert_rgb_to_yuv420(rec_frame) - for i, component in enumerate("yuv"): - org = (org_yuv[i] * max_val).clamp(0, max_val).round() - rec = (rec_yuv[i] * max_val).clamp(0, max_val).round() - out[f"psnr-{component}"] = 20 * np.log10(max_val) - 10 * torch.log10( - (org - rec).pow(2).mean() - ) - out["psnr-yuv"] = (4 * out["psnr-y"] + out["psnr-u"] + out["psnr-v"]) / 6 - - # RGB metrics - org_rgb = convert_yuv420_to_rgb( - org_frame, device, max_val - ) # ycbcr2rgb(yuv_420_to_444(org_frame, mode="bicubic")) # type: ignore - org_rgb = (org_rgb * max_val).clamp(0, max_val).round() - rec_frame = (rec_frame * max_val).clamp(0, max_val).round() - mse_rgb = (org_rgb - rec_frame).pow(2).mean() - psnr_rgb = 20 * np.log10(max_val) - 10 * torch.log10(mse_rgb) - - ms_ssim_rgb = ms_ssim(org_rgb, rec_frame, data_range=max_val) - out.update({"ms-ssim-rgb": ms_ssim_rgb, "mse-rgb": mse_rgb, "psnr-rgb": psnr_rgb}) - - return out - - -def estimate_bits_frame(likelihoods) -> float: - bpp = sum( - (torch.log(lkl[k]).sum() / (-math.log(2))) - for lkl in likelihoods.values() - for k in ("y", "z") - ) - return bpp - - -def filesize(filepath: str) -> int: - if not Path(filepath).is_file(): - raise ValueError(f'Invalid file "{filepath}".') - return Path(filepath).stat().st_size - - -def write_uints(fd, values, fmt=">{:d}I"): - fd.write(struct.pack(fmt.format(len(values)), *values)) - return len(values) * 4 - - -def write_uchars(fd, values, fmt=">{:d}B"): - fd.write(struct.pack(fmt.format(len(values)), *values)) - return len(values) * 1 - - -def read_uints(fd, n, fmt=">{:d}I"): - sz = struct.calcsize("I") - return struct.unpack(fmt.format(n), fd.read(n * sz)) - - -def read_uchars(fd, n, fmt=">{:d}B"): - sz = struct.calcsize("B") - return struct.unpack(fmt.format(n), fd.read(n * sz)) - - -def write_bytes(fd, values, fmt=">{:d}s"): - if len(values) == 0: - return - fd.write(struct.pack(fmt.format(len(values)), values)) - return len(values) * 1 - - -def read_bytes(fd, n, fmt=">{:d}s"): - sz = struct.calcsize("s") - return struct.unpack(fmt.format(n), fd.read(n * sz))[0] - - -def read_body(fd): - lstrings = [] - shape = read_uints(fd, 2) - n_strings = read_uints(fd, 1)[0] - for _ in range(n_strings): - s = read_bytes(fd, read_uints(fd, 1)[0]) - lstrings.append([s]) - - return lstrings, shape - - -def write_body(fd, shape, out_strings): - bytes_cnt = 0 - bytes_cnt = write_uints(fd, (shape[0], shape[1], len(out_strings))) - for s in out_strings: - bytes_cnt += write_uints(fd, (len(s[0]),)) - bytes_cnt += write_bytes(fd, s[0]) - return bytes_cnt - - -@torch.no_grad() -def eval_model( - net: nn.Module, sequence: Path, binpath: Path, keep_binaries: bool = False -) -> Dict[str, Any]: - org_seq = RawVideoSequence.from_file(str(sequence)) - - if org_seq.format != VideoFormat.YUV420: - raise NotImplementedError(f"Unsupported video format: {org_seq.format}") - - device = next(net.parameters()).device - num_frames = len(org_seq) - max_val = 2**org_seq.bitdepth - 1 - results = defaultdict(list) - - f = binpath.open("wb") - - print(f" encoding {sequence.stem}", file=sys.stderr) - # write original image size - write_uints(f, (org_seq.height, org_seq.width)) - # write original bitdepth - write_uchars(f, (org_seq.bitdepth,)) - # write number of coded frames - write_uints(f, (num_frames,)) - with tqdm(total=num_frames) as pbar: - for i in range(num_frames): - x_cur = convert_yuv420_to_rgb(org_seq[i], device, max_val) - x_cur, padding = pad(x_cur) - - if i == 0: - x_rec, enc_info = net.encode_keyframe(x_cur) - write_body(f, enc_info["shape"], enc_info["strings"]) - # x_rec = net.decode_keyframe(enc_info["strings"], enc_info["shape"]) - else: - x_rec, enc_info = net.encode_inter(x_cur, x_rec) - for shape, out in zip( - enc_info["shape"].items(), enc_info["strings"].items() - ): - write_body(f, shape[1], out[1]) - # x_rec = net.decode_inter(x_rec, enc_info["strings"], enc_info["shape"]) - - x_rec = x_rec.clamp(0, 1) - metrics = compute_metrics_for_frame( - org_seq[i], - crop(x_rec, padding), - device, - max_val, - ) - - for k, v in metrics.items(): - results[k].append(v) - pbar.update(1) - f.close() - - seq_results: Dict[str, Any] = { - k: torch.mean(torch.stack(v)) for k, v in results.items() - } - - seq_results["bitrate"] = ( - float(filesize(binpath)) * 8 * org_seq.framerate / (num_frames * 1000) - ) - - if not keep_binaries: - binpath.unlink() - - for k, v in seq_results.items(): - if isinstance(v, torch.Tensor): - seq_results[k] = v.item() - return seq_results - - -@torch.no_grad() -def eval_model_entropy_estimation(net: nn.Module, sequence: Path) -> Dict[str, Any]: - org_seq = RawVideoSequence.from_file(str(sequence)) - - if org_seq.format != VideoFormat.YUV420: - raise NotImplementedError(f"Unsupported video format: {org_seq.format}") - - device = next(net.parameters()).device - num_frames = len(org_seq) - max_val = 2**org_seq.bitdepth - 1 - results = defaultdict(list) - print(f" encoding {sequence.stem}", file=sys.stderr) - with tqdm(total=num_frames) as pbar: - for i in range(num_frames): - x_cur = convert_yuv420_to_rgb(org_seq[i], device, max_val) - x_cur, padding = pad(x_cur) - - if i == 0: - x_rec, likelihoods = net.forward_keyframe(x_cur) # type:ignore - else: - x_rec, likelihoods = net.forward_inter(x_cur, x_rec) # type:ignore - - x_rec = x_rec.clamp(0, 1) - - metrics = compute_metrics_for_frame( - org_seq[i], - crop(x_rec, padding), - device, - max_val, - ) - metrics["bitrate"] = estimate_bits_frame(likelihoods) - - for k, v in metrics.items(): - results[k].append(v) - pbar.update(1) - - seq_results: Dict[str, Any] = { - k: torch.mean(torch.stack(v)) for k, v in results.items() - } - seq_results["bitrate"] = float(seq_results["bitrate"]) * org_seq.framerate / 1000 - for k, v in seq_results.items(): - if isinstance(v, torch.Tensor): - seq_results[k] = v.item() - return seq_results - - -def run_inference( - filepaths, - inputdir: Path, - net: nn.Module, - outputdir: Path, - force: bool = False, - entropy_estimation: bool = False, - trained_net: str = "", - description: str = "", - **args: Any, -) -> Dict[str, Any]: - results_paths = [] - - for filepath in filepaths: - output_subdir = Path(outputdir) / Path(filepath).parent.relative_to(inputdir) - output_subdir.mkdir(parents=True, exist_ok=True) - sequence_metrics_path = output_subdir / f"{filepath.stem}-{trained_net}.json" - results_paths.append(sequence_metrics_path) - - if force: - sequence_metrics_path.unlink(missing_ok=True) - if sequence_metrics_path.is_file(): - continue - - with amp.autocast(enabled=args["half"]): - with torch.no_grad(): - if entropy_estimation: - metrics = eval_model_entropy_estimation(net, filepath) - else: - sequence_bin = sequence_metrics_path.with_suffix(".bin") - metrics = eval_model( - net, filepath, sequence_bin, args["keep_binaries"] - ) - with sequence_metrics_path.open("wb") as f: - output = { - "source": filepath.stem, - "name": args["architecture"], - "description": f"Inference ({description})", - "results": metrics, - } - f.write(json.dumps(output, indent=2).encode()) - results = aggregate_results(results_paths) - return results - - -def load_checkpoint(arch: str, no_update: bool, checkpoint_path: str) -> nn.Module: - checkpoint = torch.load(checkpoint_path) - state_dict = checkpoint - # compatibility with 'not updated yet' trained nets - for key in ["network", "state_dict", "model_state_dict"]: - if key in checkpoint: - state_dict = checkpoint[key] - - net = models[arch]() - net.load_state_dict(state_dict) - if not no_update: - net.update(force=True) - net.eval() - return net - - -def load_pretrained(model: str, metric: str, quality: int) -> nn.Module: - return pretrained_models[model]( - quality=quality, metric=metric, pretrained=True - ).eval() - - -def create_parser() -> argparse.ArgumentParser: - parser = argparse.ArgumentParser( - description="Evaluate a video compression network on a video dataset.", - formatter_class=argparse.ArgumentDefaultsHelpFormatter, - ) - parent_parser = argparse.ArgumentParser(add_help=False) - parent_parser.add_argument("dataset", type=str, help="sequences directory") - parent_parser.add_argument("output", type=str, help="output directory") - parent_parser.add_argument( - "-a", - "--architecture", - type=str, - choices=models.keys(), - help="model architecture", - required=True, - ) - parent_parser.add_argument( - "-f", "--force", action="store_true", help="overwrite previous runs" - ) - parent_parser.add_argument("--cuda", action="store_true", help="use cuda") - parent_parser.add_argument("--half", action="store_true", help="use AMP") - parent_parser.add_argument( - "--entropy-estimation", - action="store_true", - help="use evaluated entropy estimation (no entropy coding)", - ) - parent_parser.add_argument( - "-c", - "--entropy-coder", - choices=compressai.available_entropy_coders(), - default=compressai.available_entropy_coders()[0], - help="entropy coder (default: %(default)s)", - ) - parent_parser.add_argument( - "--keep_binaries", - action="store_true", - help="keep bitstream files in output directory", - ) - parent_parser.add_argument( - "-v", - "--verbose", - action="store_true", - help="verbose mode", - ) - parent_parser.add_argument( - "-m", - "--metric", - type=str, - choices=["mse", "ms-ssim"], - default="mse", - help="metric trained against (default: %(default)s)", - ) - parent_parser.add_argument( - "-o", - "--output-file", - type=str, - default="", - help="output json file name, (default: architecture-entropy_coder.json)", - ) - - subparsers = parser.add_subparsers(help="model source", dest="source") - subparsers.required = True - - # Options for pretrained models - pretrained_parser = subparsers.add_parser("pretrained", parents=[parent_parser]) - pretrained_parser.add_argument( - "-q", - "--quality", - dest="qualities", - type=str, - default="1", - help="Pretrained model qualities. (example: '1,2,3,4') (default: %(default)s)", - ) - checkpoint_parser = subparsers.add_parser("checkpoint", parents=[parent_parser]) - checkpoint_parser.add_argument( - "-p", - "--path", - dest="paths", - type=str, - nargs="*", - required=True, - help="checkpoint path", - ) - checkpoint_parser.add_argument( - "--no-update", - action="store_true", - help="Disable the default update of the model entropy parameters before eval", - ) - return parser - - -def main(args: Any = None) -> None: - if args is None: - args = sys.argv[1:] - parser = create_parser() - args = parser.parse_args(args) - - if not args.source: - print("Error: missing 'checkpoint' or 'pretrained' source.", file=sys.stderr) - parser.print_help() - raise SystemExit(1) - description = ( - "entropy-estimation" if args.entropy_estimation else args.entropy_coder - ) - filepaths = collect_videos(args.dataset) - if len(filepaths) == 0: - print("Error: no video found in directory.", file=sys.stderr) - raise SystemExit(1) - - # create output directory - outputdir = args.output - Path(outputdir).mkdir(parents=True, exist_ok=True) - - if args.source == "pretrained": - args.qualities = [int(q) for q in args.qualities.split(",") if q] - runs = sorted(args.qualities) - opts = (args.architecture, args.metric) - load_func = load_pretrained - log_fmt = "\rEvaluating {0} | {run:d}" - else: - runs = args.paths - opts = (args.architecture, args.no_update) - load_func = load_checkpoint - log_fmt = "\rEvaluating {run:s}" - - results = defaultdict(list) - for run in runs: - if args.verbose: - sys.stderr.write(log_fmt.format(*opts, run=run)) - sys.stderr.flush() - model = load_func(*opts, run) - if args.source == "pretrained": - trained_net = f"{args.architecture}-{args.metric}-{run}-{description}" - else: - cpt_name = Path(run).name[: -len(".tar.pth")] # removesuffix() python3.9 - trained_net = f"{cpt_name}-{description}" - print(f"Using trained model {trained_net}", file=sys.stderr) - if args.cuda and torch.cuda.is_available(): - model = model.to("cuda") - if args.half: - model = model.half() - args_dict = vars(args) - metrics = run_inference( - filepaths, - args.dataset, - model, - outputdir, - trained_net=trained_net, - description=description, - **args_dict, - ) - results["q"].append(trained_net) - for k, v in metrics.items(): - results[k].append(v) - - output = { - "name": f"{args.architecture}-{args.metric}", - "description": f"Inference ({description})", - "results": results, - } - - if args.output_file == "": - output_file = f"{args.architecture}-{description}" - else: - output_file = args.output_file - - with (Path(f"{outputdir}/{output_file}").with_suffix(".json")).open("wb") as f: - f.write(json.dumps(output, indent=2).encode()) - print(json.dumps(output, indent=2)) - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/compressai/utils/video/plot/__init__.py b/compressai/utils/video/plot/__init__.py deleted file mode 100644 index e4861cb..0000000 --- a/compressai/utils/video/plot/__init__.py +++ /dev/null @@ -1,28 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/compressai/utils/video/plot/__main__.py b/compressai/utils/video/plot/__main__.py deleted file mode 100644 index 8824de8..0000000 --- a/compressai/utils/video/plot/__main__.py +++ /dev/null @@ -1,222 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. -""" -Simple plotting utility to display Rate-Distortion curves (RD) comparison -between codecs. -""" -import argparse -import json -import sys - -from pathlib import Path - -import matplotlib.pyplot as plt -import numpy as np - -_backends = ["matplotlib", "plotly"] - - -def parse_json_file(filepath, metric): - filepath = Path(filepath) - name = filepath.name.split(".")[0] - with filepath.open("r") as f: - try: - data = json.load(f) - except json.decoder.JSONDecodeError as err: - print(f'Error reading file "{filepath}"') - raise err - - if "results" in data: - results = data["results"] - else: - results = data - - if metric not in results: - raise ValueError( - f'Error: metric "{metric}" not available.' - f' Available metrics: {", ".join(results.keys())}' - ) - - try: - if "ms-ssim" in metric: - # Convert to db - values = np.array(results[metric]) - results[metric] = -10 * np.log10(1 - values) - - return { - "name": data.get("name", name), - "xs": results["bitrate"], - "ys": results[metric], - } - except KeyError: - raise ValueError(f'Invalid file "{filepath}"') - - -def matplotlib_plt( - scatters, title, ylabel, output_file, limits=None, show=False, figsize=None -): - linestyle = "-" - hybrid_matches = ["x26", "VTM", "HM", "WebP", "AV1"] - if figsize is None: - figsize = (9, 6) - fig, ax = plt.subplots(figsize=figsize) - for sc in scatters: - if any(x in sc["name"] for x in hybrid_matches): - linestyle = "--" - ax.plot( - sc["xs"], - sc["ys"], - marker=".", - linestyle=linestyle, - linewidth=0.7, - label=sc["name"], - ) - - ax.set_xlabel("Bit-rate [kbps]") - ax.set_ylabel(ylabel) - ax.grid() - if limits is not None: - ax.axis(limits) - ax.legend(loc="lower right") - - if title: - ax.title.set_text(title) - - if show: - plt.show() - - if output_file: - fig.savefig(output_file, dpi=300) - - -def plotly_plt( - scatters, title, ylabel, output_file, limits=None, show=False, figsize=None -): - del figsize - try: - import plotly.graph_objs as go - import plotly.io as pio - except ImportError: - raise SystemExit( - "Unable to import plotly, install with: pip install pandas plotly" - ) - - fig = go.Figure() - for sc in scatters: - fig.add_traces(go.Scatter(x=sc["xs"], y=sc["ys"], name=sc["name"])) - - fig.update_xaxes(title_text="Bit-rate [kbps]") - fig.update_yaxes(title_text=ylabel) - if limits is not None: - fig.update_xaxes(range=[limits[0], limits[1]]) - fig.update_yaxes(range=[limits[2], limits[3]]) - - filename = output_file or "plot.html" - pio.write_html(fig, file=filename, auto_open=True) - - -def setup_args(): - parser = argparse.ArgumentParser(description="") - parser.add_argument( - "-f", - "--results-file", - metavar="", - default="", - type=str, - nargs="*", - required=True, - ) - parser.add_argument( - "-m", - "--metric", - metavar="", - type=str, - default="psnr-rgb", - help="Metric ,default: %(default)s)", - ) - parser.add_argument("-t", "--title", metavar="", type=str, help="Plot title") - parser.add_argument("-o", "--output", metavar="", type=str, help="Output file name") - parser.add_argument( - "--figsize", - metavar="", - type=float, - nargs=2, - default=(9, 6), - help="Figure relative size (width, height), default: %(default)s", - ) - parser.add_argument( - "--axes", - metavar="", - type=float, - nargs=4, - default=None, - help="Axes limit (xmin, xmax, ymin, ymax), default: autorange", - ) - parser.add_argument( - "--backend", - type=str, - metavar="", - default=_backends[0], - choices=_backends, - help="Change plot backend (default: %(default)s)", - ) - parser.add_argument("--show", action="store_true", help="Open plot figure") - return parser - - -def main(argv): - args = setup_args().parse_args(argv) - - if not args.show and not args.output: - raise ValueError("select output file destination or --show") - - scatters = [] - for f in args.results_file: - rv = parse_json_file(f, args.metric) - scatters.append(rv) - - ylabel = f"{args.metric} [dB]" - func_map = { - "matplotlib": matplotlib_plt, - "plotly": plotly_plt, - } - - func_map[args.backend]( - scatters, - args.title, - ylabel, - args.output, - limits=args.axes, - figsize=args.figsize, - show=args.show, - ) - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/compressai/zoo/__init__.py b/compressai/zoo/__init__.py deleted file mode 100644 index a45512d..0000000 --- a/compressai/zoo/__init__.py +++ /dev/null @@ -1,58 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from .image import ( - bmshj2018_factorized, - bmshj2018_factorized_relu, - bmshj2018_hyperprior, - cheng2020_anchor, - cheng2020_attn, - mbt2018, - mbt2018_mean, -) -from .pretrained import load_pretrained as load_state_dict -from .video import ssf2020 - -image_models = { - "bmshj2018-factorized": bmshj2018_factorized, - "bmshj2018-factorized-relu": bmshj2018_factorized_relu, - "bmshj2018-hyperprior": bmshj2018_hyperprior, - "mbt2018-mean": mbt2018_mean, - "mbt2018": mbt2018, - "cheng2020-anchor": cheng2020_anchor, - "cheng2020-attn": cheng2020_attn, -} - -video_models = { - "ssf2020": ssf2020, -} - -models = {} -models.update(image_models) -models.update(video_models) diff --git a/compressai/zoo/image.py b/compressai/zoo/image.py deleted file mode 100644 index 312a6ca..0000000 --- a/compressai/zoo/image.py +++ /dev/null @@ -1,449 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from torch.hub import load_state_dict_from_url - -from compressai.models import ( - Cheng2020Anchor, - Cheng2020Attention, - FactorizedPrior, - FactorizedPriorReLU, - JointAutoregressiveHierarchicalPriors, - MeanScaleHyperprior, - ScaleHyperprior, -) - -from .pretrained import load_pretrained - -__all__ = [ - "bmshj2018_factorized", - "bmshj2018_factorized_relu", - "bmshj2018_hyperprior", - "mbt2018", - "mbt2018_mean", - "cheng2020_anchor", - "cheng2020_attn", -] - -model_architectures = { - "bmshj2018-factorized": FactorizedPrior, - "bmshj2018_factorized_relu": FactorizedPriorReLU, - "bmshj2018-hyperprior": ScaleHyperprior, - "mbt2018-mean": MeanScaleHyperprior, - "mbt2018": JointAutoregressiveHierarchicalPriors, - "cheng2020-anchor": Cheng2020Anchor, - "cheng2020-attn": Cheng2020Attention, -} - -root_url = "https://compressai.s3.amazonaws.com/models/v1" -model_urls = { - "bmshj2018-factorized": { - "mse": { - 1: f"{root_url}/bmshj2018-factorized-prior-1-446d5c7f.pth.tar", - 2: f"{root_url}/bmshj2018-factorized-prior-2-87279a02.pth.tar", - 3: f"{root_url}/bmshj2018-factorized-prior-3-5c6f152b.pth.tar", - 4: f"{root_url}/bmshj2018-factorized-prior-4-1ed4405a.pth.tar", - 5: f"{root_url}/bmshj2018-factorized-prior-5-866ba797.pth.tar", - 6: f"{root_url}/bmshj2018-factorized-prior-6-9b02ea3a.pth.tar", - 7: f"{root_url}/bmshj2018-factorized-prior-7-6dfd6734.pth.tar", - 8: f"{root_url}/bmshj2018-factorized-prior-8-5232faa3.pth.tar", - }, - "ms-ssim": { - 1: f"{root_url}/bmshj2018-factorized-ms-ssim-1-9781d705.pth.tar", - 2: f"{root_url}/bmshj2018-factorized-ms-ssim-2-4a584386.pth.tar", - 3: f"{root_url}/bmshj2018-factorized-ms-ssim-3-5352f123.pth.tar", - 4: f"{root_url}/bmshj2018-factorized-ms-ssim-4-4f91b847.pth.tar", - 5: f"{root_url}/bmshj2018-factorized-ms-ssim-5-b3a88897.pth.tar", - 6: f"{root_url}/bmshj2018-factorized-ms-ssim-6-ee028763.pth.tar", - 7: f"{root_url}/bmshj2018-factorized-ms-ssim-7-8c265a29.pth.tar", - 8: f"{root_url}/bmshj2018-factorized-ms-ssim-8-8811bd14.pth.tar", - }, - }, - "bmshj2018-hyperprior": { - "mse": { - 1: f"{root_url}/bmshj2018-hyperprior-1-7eb97409.pth.tar", - 2: f"{root_url}/bmshj2018-hyperprior-2-93677231.pth.tar", - 3: f"{root_url}/bmshj2018-hyperprior-3-6d87be32.pth.tar", - 4: f"{root_url}/bmshj2018-hyperprior-4-de1b779c.pth.tar", - 5: f"{root_url}/bmshj2018-hyperprior-5-f8b614e1.pth.tar", - 6: f"{root_url}/bmshj2018-hyperprior-6-1ab9c41e.pth.tar", - 7: f"{root_url}/bmshj2018-hyperprior-7-3804dcbd.pth.tar", - 8: f"{root_url}/bmshj2018-hyperprior-8-a583f0cf.pth.tar", - }, - "ms-ssim": { - 1: f"{root_url}/bmshj2018-hyperprior-ms-ssim-1-5cf249be.pth.tar", - 2: f"{root_url}/bmshj2018-hyperprior-ms-ssim-2-1ff60d1f.pth.tar", - 3: f"{root_url}/bmshj2018-hyperprior-ms-ssim-3-92dd7878.pth.tar", - 4: f"{root_url}/bmshj2018-hyperprior-ms-ssim-4-4377354e.pth.tar", - 5: f"{root_url}/bmshj2018-hyperprior-ms-ssim-5-c34afc8d.pth.tar", - 6: f"{root_url}/bmshj2018-hyperprior-ms-ssim-6-3a6d8229.pth.tar", - 7: f"{root_url}/bmshj2018-hyperprior-ms-ssim-7-8747d3bc.pth.tar", - 8: f"{root_url}/bmshj2018-hyperprior-ms-ssim-8-cc15b5f3.pth.tar", - }, - }, - "mbt2018-mean": { - "mse": { - 1: f"{root_url}/mbt2018-mean-1-e522738d.pth.tar", - 2: f"{root_url}/mbt2018-mean-2-e54a039d.pth.tar", - 3: f"{root_url}/mbt2018-mean-3-723404a8.pth.tar", - 4: f"{root_url}/mbt2018-mean-4-6dba02a3.pth.tar", - 5: f"{root_url}/mbt2018-mean-5-d504e8eb.pth.tar", - 6: f"{root_url}/mbt2018-mean-6-a19628ab.pth.tar", - 7: f"{root_url}/mbt2018-mean-7-d5d441d1.pth.tar", - 8: f"{root_url}/mbt2018-mean-8-8089ae3e.pth.tar", - }, - "ms-ssim": { - 1: f"{root_url}/mbt2018-mean-ms-ssim-1-5bf9c0b6.pth.tar", - 2: f"{root_url}/mbt2018-mean-ms-ssim-2-e2a1bf3f.pth.tar", - 3: f"{root_url}/mbt2018-mean-ms-ssim-3-640ce819.pth.tar", - 4: f"{root_url}/mbt2018-mean-ms-ssim-4-12626c13.pth.tar", - 5: f"{root_url}/mbt2018-mean-ms-ssim-5-1be7f059.pth.tar", - 6: f"{root_url}/mbt2018-mean-ms-ssim-6-b83bf379.pth.tar", - 7: f"{root_url}/mbt2018-mean-ms-ssim-7-ddf9644c.pth.tar", - 8: f"{root_url}/mbt2018-mean-ms-ssim-8-0cc7b94f.pth.tar", - }, - }, - "mbt2018": { - "mse": { - 1: f"{root_url}/mbt2018-1-3f36cd77.pth.tar", - 2: f"{root_url}/mbt2018-2-43b70cdd.pth.tar", - 3: f"{root_url}/mbt2018-3-22901978.pth.tar", - 4: f"{root_url}/mbt2018-4-456e2af9.pth.tar", - 5: f"{root_url}/mbt2018-5-b4a046dd.pth.tar", - 6: f"{root_url}/mbt2018-6-7052e5ea.pth.tar", - 7: f"{root_url}/mbt2018-7-8ba2bf82.pth.tar", - 8: f"{root_url}/mbt2018-8-dd0097aa.pth.tar", - }, - "ms-ssim": { - 1: f"{root_url}/mbt2018-ms-ssim-1-2878436b.pth.tar", - 2: f"{root_url}/mbt2018-ms-ssim-2-c41cb208.pth.tar", - 3: f"{root_url}/mbt2018-ms-ssim-3-d0dd64e8.pth.tar", - 4: f"{root_url}/mbt2018-ms-ssim-4-a120e037.pth.tar", - 5: f"{root_url}/mbt2018-ms-ssim-5-9b30e3b7.pth.tar", - 6: f"{root_url}/mbt2018-ms-ssim-6-f8b3626f.pth.tar", - 7: f"{root_url}/mbt2018-ms-ssim-7-16e6ff50.pth.tar", - 8: f"{root_url}/mbt2018-ms-ssim-8-0cb49d43.pth.tar", - }, - }, - "cheng2020-anchor": { - "mse": { - 1: f"{root_url}/cheng2020-anchor-1-dad2ebff.pth.tar", - 2: f"{root_url}/cheng2020-anchor-2-a29008eb.pth.tar", - 3: f"{root_url}/cheng2020-anchor-3-e49be189.pth.tar", - 4: f"{root_url}/cheng2020-anchor-4-98b0b468.pth.tar", - 5: f"{root_url}/cheng2020-anchor-5-23852949.pth.tar", - 6: f"{root_url}/cheng2020-anchor-6-4c052b1a.pth.tar", - }, - "ms-ssim": { - 1: f"{root_url}/cheng2020_anchor-ms-ssim-1-20f521db.pth.tar", - 2: f"{root_url}/cheng2020_anchor-ms-ssim-2-c7ff5812.pth.tar", - 3: f"{root_url}/cheng2020_anchor-ms-ssim-3-c23e22d5.pth.tar", - 4: f"{root_url}/cheng2020_anchor-ms-ssim-4-0e658304.pth.tar", - 5: f"{root_url}/cheng2020_anchor-ms-ssim-5-c0a95e77.pth.tar", - 6: f"{root_url}/cheng2020_anchor-ms-ssim-6-f2dc1913.pth.tar", - }, - }, - "cheng2020-attn": { - "mse": { - 1: f"{root_url}/cheng2020_attn-mse-1-465f2b64.pth.tar", - 2: f"{root_url}/cheng2020_attn-mse-2-e0805385.pth.tar", - 3: f"{root_url}/cheng2020_attn-mse-3-2d07bbdf.pth.tar", - 4: f"{root_url}/cheng2020_attn-mse-4-f7b0ccf2.pth.tar", - 5: f"{root_url}/cheng2020_attn-mse-5-26c8920e.pth.tar", - 6: f"{root_url}/cheng2020_attn-mse-6-730501f2.pth.tar", - }, - "ms-ssim": { - 1: f"{root_url}/cheng2020_attn-ms-ssim-1-c5381d91.pth.tar", - 2: f"{root_url}/cheng2020_attn-ms-ssim-2-5dad201d.pth.tar", - 3: f"{root_url}/cheng2020_attn-ms-ssim-3-5c9be841.pth.tar", - 4: f"{root_url}/cheng2020_attn-ms-ssim-4-8b2f647e.pth.tar", - 5: f"{root_url}/cheng2020_attn-ms-ssim-5-5ca1f34c.pth.tar", - 6: f"{root_url}/cheng2020_attn-ms-ssim-6-216423ec.pth.tar", - }, - }, -} - -cfgs = { - "bmshj2018-factorized": { - 1: (128, 192), - 2: (128, 192), - 3: (128, 192), - 4: (128, 192), - 5: (128, 192), - 6: (192, 320), - 7: (192, 320), - 8: (192, 320), - }, - "bmshj2018-factorized-relu": { - 1: (128, 192), - 2: (128, 192), - 3: (128, 192), - 4: (128, 192), - 5: (128, 192), - 6: (192, 320), - 7: (192, 320), - 8: (192, 320), - }, - "bmshj2018-hyperprior": { - 1: (128, 192), - 2: (128, 192), - 3: (128, 192), - 4: (128, 192), - 5: (128, 192), - 6: (192, 320), - 7: (192, 320), - 8: (192, 320), - }, - "mbt2018-mean": { - 1: (128, 192), - 2: (128, 192), - 3: (128, 192), - 4: (128, 192), - 5: (192, 320), - 6: (192, 320), - 7: (192, 320), - 8: (192, 320), - }, - "mbt2018": { - 1: (192, 192), - 2: (192, 192), - 3: (192, 192), - 4: (192, 192), - 5: (192, 320), - 6: (192, 320), - 7: (192, 320), - 8: (192, 320), - }, - "cheng2020-anchor": { - 1: (128,), - 2: (128,), - 3: (128,), - 4: (192,), - 5: (192,), - 6: (192,), - }, - "cheng2020-attn": { - 1: (128,), - 2: (128,), - 3: (128,), - 4: (192,), - 5: (192,), - 6: (192,), - }, -} - - -def _load_model( - architecture, metric, quality, pretrained=False, progress=True, **kwargs -): - if architecture not in model_architectures: - raise ValueError(f'Invalid architecture name "{architecture}"') - - if quality not in cfgs[architecture]: - raise ValueError(f'Invalid quality value "{quality}"') - - if pretrained: - if ( - architecture not in model_urls - or metric not in model_urls[architecture] - or quality not in model_urls[architecture][metric] - ): - raise RuntimeError("Pre-trained model not yet available") - - url = model_urls[architecture][metric][quality] - state_dict = load_state_dict_from_url(url, progress=progress) - state_dict = load_pretrained(state_dict) - model = model_architectures[architecture].from_state_dict(state_dict) - return model - - model = model_architectures[architecture](*cfgs[architecture][quality], **kwargs) - return model - - -def bmshj2018_factorized( - quality, metric="mse", pretrained=False, progress=True, **kwargs -): - r"""Factorized Prior model from J. Balle, D. Minnen, S. Singh, S.J. Hwang, - N. Johnston: `"Variational Image Compression with a Scale Hyperprior" - `_, Int Conf. on Learning Representations - (ICLR), 2018. - - Args: - quality (int): Quality levels (1: lowest, highest: 8) - metric (str): Optimized metric, choose from ('mse', 'ms-ssim') - pretrained (bool): If True, returns a pre-trained model - progress (bool): If True, displays a progress bar of the download to stderr - """ - if metric not in ("mse", "ms-ssim"): - raise ValueError(f'Invalid metric "{metric}"') - - if quality < 1 or quality > 8: - raise ValueError(f'Invalid quality "{quality}", should be between (1, 8)') - - return _load_model( - "bmshj2018-factorized", metric, quality, pretrained, progress, **kwargs - ) - - -def bmshj2018_factorized_relu( - quality, metric="mse", pretrained=False, progress=True, **kwargs -): - r"""Factorized Prior model from J. Balle, D. Minnen, S. Singh, S.J. Hwang, - N. Johnston: `"Variational Image Compression with a Scale Hyperprior" - `_, Int Conf. on Learning Representations - (ICLR), 2018. - GDN activations are replaced by ReLU - Args: - quality (int): Quality levels (1: lowest, highest: 8) - metric (str): Optimized metric, choose from ('mse', 'ms-ssim') - pretrained (bool): If True, returns a pre-trained model - progress (bool): If True, displays a progress bar of the download to stderr - """ - if metric not in ("mse", "ms-ssim"): - raise ValueError(f'Invalid metric "{metric}"') - - if quality < 1 or quality > 8: - raise ValueError(f'Invalid quality "{quality}", should be between (1, 8)') - - return _load_model( - "bmshj2018-factorized", metric, quality, pretrained, progress, **kwargs - ) - - -def bmshj2018_hyperprior( - quality, metric="mse", pretrained=False, progress=True, **kwargs -): - r"""Scale Hyperprior model from J. Balle, D. Minnen, S. Singh, S.J. Hwang, - N. Johnston: `"Variational Image Compression with a Scale Hyperprior" - `_ Int. Conf. on Learning Representations - (ICLR), 2018. - - Args: - quality (int): Quality levels (1: lowest, highest: 8) - metric (str): Optimized metric, choose from ('mse', 'ms-ssim') - pretrained (bool): If True, returns a pre-trained model - progress (bool): If True, displays a progress bar of the download to stderr - """ - if metric not in ("mse", "ms-ssim"): - raise ValueError(f'Invalid metric "{metric}"') - - if quality < 1 or quality > 8: - raise ValueError(f'Invalid quality "{quality}", should be between (1, 8)') - - return _load_model( - "bmshj2018-hyperprior", metric, quality, pretrained, progress, **kwargs - ) - - -def mbt2018_mean(quality, metric="mse", pretrained=False, progress=True, **kwargs): - r"""Scale Hyperprior with non zero-mean Gaussian conditionals from D. - Minnen, J. Balle, G.D. Toderici: `"Joint Autoregressive and Hierarchical - Priors for Learned Image Compression" `_, - Adv. in Neural Information Processing Systems 31 (NeurIPS 2018). - - Args: - quality (int): Quality levels (1: lowest, highest: 8) - metric (str): Optimized metric, choose from ('mse', 'ms-ssim') - pretrained (bool): If True, returns a pre-trained model - progress (bool): If True, displays a progress bar of the download to stderr - """ - if metric not in ("mse", "ms-ssim"): - raise ValueError(f'Invalid metric "{metric}"') - - if quality < 1 or quality > 8: - raise ValueError(f'Invalid quality "{quality}", should be between (1, 8)') - - return _load_model("mbt2018-mean", metric, quality, pretrained, progress, **kwargs) - - -def mbt2018(quality, metric="mse", pretrained=False, progress=True, **kwargs): - r"""Joint Autoregressive Hierarchical Priors model from D. - Minnen, J. Balle, G.D. Toderici: `"Joint Autoregressive and Hierarchical - Priors for Learned Image Compression" `_, - Adv. in Neural Information Processing Systems 31 (NeurIPS 2018). - - Args: - quality (int): Quality levels (1: lowest, highest: 8) - metric (str): Optimized metric, choose from ('mse', 'ms-ssim') - pretrained (bool): If True, returns a pre-trained model - progress (bool): If True, displays a progress bar of the download to stderr - """ - if metric not in ("mse", "ms-ssim"): - raise ValueError(f'Invalid metric "{metric}"') - - if quality < 1 or quality > 8: - raise ValueError(f'Invalid quality "{quality}", should be between (1, 8)') - - return _load_model("mbt2018", metric, quality, pretrained, progress, **kwargs) - - -def cheng2020_anchor(quality, metric="mse", pretrained=False, progress=True, **kwargs): - r"""Anchor model variant from `"Learned Image Compression with - Discretized Gaussian Mixture Likelihoods and Attention Modules" - `_, by Zhengxue Cheng, Heming Sun, Masaru - Takeuchi, Jiro Katto. - - Args: - quality (int): Quality levels (1: lowest, highest: 6) - metric (str): Optimized metric, choose from ('mse', 'ms-ssim') - pretrained (bool): If True, returns a pre-trained model - progress (bool): If True, displays a progress bar of the download to stderr - """ - if metric not in ("mse", "ms-ssim"): - raise ValueError(f'Invalid metric "{metric}"') - - if quality < 1 or quality > 6: - raise ValueError(f'Invalid quality "{quality}", should be between (1, 6)') - - return _load_model( - "cheng2020-anchor", metric, quality, pretrained, progress, **kwargs - ) - - -def cheng2020_attn(quality, metric="mse", pretrained=False, progress=True, **kwargs): - r"""Self-attention model variant from `"Learned Image Compression with - Discretized Gaussian Mixture Likelihoods and Attention Modules" - `_, by Zhengxue Cheng, Heming Sun, Masaru - Takeuchi, Jiro Katto. - - Args: - quality (int): Quality levels (1: lowest, highest: 6) - metric (str): Optimized metric, choose from ('mse', 'ms-ssim') - pretrained (bool): If True, returns a pre-trained model - progress (bool): If True, displays a progress bar of the download to stderr - """ - if metric not in ("mse", "ms-ssim"): - raise ValueError(f'Invalid metric "{metric}"') - - if quality < 1 or quality > 6: - raise ValueError(f'Invalid quality "{quality}", should be between (1, 6)') - - return _load_model( - "cheng2020-attn", metric, quality, pretrained, progress, **kwargs - ) diff --git a/compressai/zoo/pretrained.py b/compressai/zoo/pretrained.py deleted file mode 100644 index dc13049..0000000 --- a/compressai/zoo/pretrained.py +++ /dev/null @@ -1,64 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - - -from typing import Dict - -from torch import Tensor - - -def rename_key(key: str) -> str: - """Rename state_dict key.""" - - # Deal with modules trained with DataParallel - if key.startswith("module."): - key = key[7:] - - # ResidualBlockWithStride: 'downsample' -> 'skip' - if ".downsample." in key: - return key.replace("downsample", "skip") - - # EntropyBottleneck: nn.ParameterList to nn.Parameters - if key.startswith("entropy_bottleneck."): - if key.startswith("entropy_bottleneck._biases."): - return f"entropy_bottleneck._bias{key[-1]}" - - if key.startswith("entropy_bottleneck._matrices."): - return f"entropy_bottleneck._matrix{key[-1]}" - - if key.startswith("entropy_bottleneck._factors."): - return f"entropy_bottleneck._factor{key[-1]}" - - return key - - -def load_pretrained(state_dict: Dict[str, Tensor]) -> Dict[str, Tensor]: - """Convert state_dict keys.""" - state_dict = {rename_key(k): v for k, v in state_dict.items()} - return state_dict diff --git a/compressai/zoo/video.py b/compressai/zoo/video.py deleted file mode 100644 index 9c68b49..0000000 --- a/compressai/zoo/video.py +++ /dev/null @@ -1,107 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from torch.hub import load_state_dict_from_url - -from compressai.models.video import ScaleSpaceFlow - -from .pretrained import load_pretrained - -__all__ = [ - "ssf2020", -] - -model_architectures = { - "ssf2020": ScaleSpaceFlow, -} - -root_url = "https://compressai.s3.amazonaws.com/models/v1" -model_urls = { - "ssf2020": { - "mse": { - 1: f"{root_url}/ssf2020-mse-1-c1ac1a47.pth.tar", - 2: f"{root_url}/ssf2020-mse-2-79ed4e19.pth.tar", - 3: f"{root_url}/ssf2020-mse-3-9c8b998d.pth.tar", - 4: f"{root_url}/ssf2020-mse-4-577c1eda.pth.tar", - 5: f"{root_url}/ssf2020-mse-5-1dd7d574.pth.tar", - 6: f"{root_url}/ssf2020-mse-6-59dfb6f9.pth.tar", - 7: f"{root_url}/ssf2020-mse-7-4d867411.pth.tar", - 8: f"{root_url}/ssf2020-mse-8-26439e20.pth.tar", - 9: f"{root_url}/ssf2020-mse-9-e89345c4.pth.tar", - } - } -} - - -def _load_model( - architecture, metric, quality, pretrained=False, progress=True, **kwargs -): - if architecture not in model_architectures: - raise ValueError(f'Invalid architecture name "{architecture}"') - - if quality not in range(1, 10): - raise ValueError(f'Invalid quality value "{quality}"') - - if pretrained: - if ( - architecture not in model_urls - or metric not in model_urls[architecture] - or quality not in model_urls[architecture][metric] - ): - raise RuntimeError("Pre-trained model not yet available") - - url = model_urls[architecture][metric][quality] - state_dict = load_state_dict_from_url(url, progress=progress) - state_dict = load_pretrained(state_dict) - model = model_architectures[architecture].from_state_dict(state_dict) - return model - - model = model_architectures[architecture](**kwargs) - return model - - -def ssf2020(quality, metric="mse", pretrained=False, progress=True, **kwargs): - r"""Google's first end-to-end optimized video compression from E. - Agustsson, D. Minnen, N. Johnston, J. Balle, S. J. Hwang, G. Toderici: `"Scale-space flow for end-to-end - optimized video compression" `_, - IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020). - - Args: - quality (int): Quality levels (1: lowest, highest: 9) - metric (str): Optimized metric, choose from ('mse', 'ms-ssim') - pretrained (bool): If True, returns a pre-trained model - progress (bool): If True, displays a progress bar of the download to stderr - """ - if metric not in ("mse", "ms-ssim"): - raise ValueError(f'Invalid metric "{metric}"') - - if quality < 1 or quality > 9: - raise ValueError(f'Invalid quality "{quality}", should be between (1, 9)') - - return _load_model("ssf2020", metric, quality, pretrained, progress, **kwargs) diff --git a/docker/Dockerfile b/docker/Dockerfile deleted file mode 100644 index 45b9275..0000000 --- a/docker/Dockerfile +++ /dev/null @@ -1,27 +0,0 @@ -ARG PYTORCH_IMAGE -FROM ${PYTORCH_IMAGE}-devel as builder - -WORKDIR /tmp/compressai -COPY compressai.tar.gz . -RUN pip install pybind11 -RUN tar xzf compressai.tar.gz && \ - python3 setup.py bdist_wheel - -FROM ${PYTORCH_IMAGE}-runtime - -LABEL maintainer="compressai@interdigital.com" - -WORKDIR /tmp -COPY --from=builder /tmp/compressai/dist/compressai-*.whl . -RUN pip install compressai-*.whl && \ - python3 -c 'import compressai' - -# Install jupyter? -ARG WITH_JUPYTER=0 -RUN if [ "$WITH_JUPYTER" = "1" ]; then \ - pip3 install jupyter ipywidgets && \ - jupyter nbextension enable --py widgetsnbextension \ - ; fi - -WORKDIR /workspace -CMD ["bash"] diff --git a/docker/Dockerfile.cpu b/docker/Dockerfile.cpu deleted file mode 100644 index 59e955b..0000000 --- a/docker/Dockerfile.cpu +++ /dev/null @@ -1,29 +0,0 @@ -ARG BASE_IMAGE -FROM ${BASE_IMAGE} as base - -RUN pip install torch==1.6.0+cpu torchvision==0.7.0+cpu -f https://download.pytorch.org/whl/torch_stable.html - -FROM base as builder -WORKDIR /tmp/compressai -COPY compressai.tar.gz . -RUN tar xzf compressai.tar.gz && \ - python3 setup.py sdist bdist_wheel - -FROM base - -LABEL maintainer="compressai@interdigital.com" - -WORKDIR /tmp -COPY --from=builder /tmp/compressai/dist/compressai-*.whl . -RUN pip install compressai-*.whl && \ - python3 -c 'import compressai' - -# Install jupyter? -ARG WITH_JUPYTER=0 -RUN if [ "$WITH_JUPYTER" = "1" ]; then \ - pip3 install jupyter ipywidgets && \ - jupyter nbextension enable --py widgetsnbextension \ - ; fi - -WORKDIR /workspace -CMD ["bash"] diff --git a/docs/.gitignore b/docs/.gitignore deleted file mode 100644 index e35d885..0000000 --- a/docs/.gitignore +++ /dev/null @@ -1 +0,0 @@ -_build diff --git a/docs/.requirements b/docs/.requirements deleted file mode 100644 index ed41de9..0000000 --- a/docs/.requirements +++ /dev/null @@ -1,2 +0,0 @@ -sphinx==3.0.3 -sphinx_rtd_theme diff --git a/docs/Makefile b/docs/Makefile deleted file mode 100644 index c1bc736..0000000 --- a/docs/Makefile +++ /dev/null @@ -1,21 +0,0 @@ -# Minimal makefile for Sphinx documentation -# - -# You can set these variables from the command line, and also -# from the environment for the first two. -SPHINXOPTS ?= -SPHINXBUILD ?= sphinx-build -SOURCEDIR = ./source/ -BUILDDIR = _build - -# Put it first so that "make" without argument is like "make help". -help: - @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) - -.PHONY: help Makefile - -# Catch-all target: route all unknown targets to Sphinx using the new -# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). -%: Makefile - cd "${SOURCEDIR}"; python generate_cli_help.py - @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/Readme.md b/docs/Readme.md deleted file mode 100644 index 5bdfa2c..0000000 --- a/docs/Readme.md +++ /dev/null @@ -1,17 +0,0 @@ -# Building the documentation - -Install sphinx and dependencies: -``` -pip install -r requirements.txt -``` - -Then build the html documentation: -``` -make html -``` - -Run `make html` again whenever a change is made in the `source` folder. The -output html is generated in the `_build/html` folder. Open -`_build/html/index.html` in your browser to view the locally generated -documentation. - diff --git a/docs/make.bat b/docs/make.bat deleted file mode 100644 index 2119f51..0000000 --- a/docs/make.bat +++ /dev/null @@ -1,35 +0,0 @@ -@ECHO OFF - -pushd %~dp0 - -REM Command file for Sphinx documentation - -if "%SPHINXBUILD%" == "" ( - set SPHINXBUILD=sphinx-build -) -set SOURCEDIR=. -set BUILDDIR=_build - -if "%1" == "" goto help - -%SPHINXBUILD% >NUL 2>NUL -if errorlevel 9009 ( - echo. - echo.The 'sphinx-build' command was not found. Make sure you have Sphinx - echo.installed, then set the SPHINXBUILD environment variable to point - echo.to the full path of the 'sphinx-build' executable. Alternatively you - echo.may add the Sphinx directory to PATH. - echo. - echo.If you don't have Sphinx installed, grab it from - echo.http://sphinx-doc.org/ - exit /b 1 -) - -%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% -goto end - -:help -%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% - -:end -popd diff --git a/docs/requirements.txt b/docs/requirements.txt deleted file mode 100644 index 87ac321..0000000 --- a/docs/requirements.txt +++ /dev/null @@ -1,10 +0,0 @@ -Sphinx==4.3.0 -sphinx-book-theme==1.0.1 -sphinxcontrib-applehelp==1.0.2 -sphinxcontrib-devhelp==1.0.2 -sphinxcontrib-htmlhelp==2.0.0 -sphinxcontrib-jsmath==1.0.1 -sphinxcontrib-qthelp==1.0.3 -sphinxcontrib-serializinghtml==1.1.5 -Jinja2<3.1 - diff --git a/docs/source/_static/logo.png b/docs/source/_static/logo.png deleted file mode 100755 index 3e7a552..0000000 Binary files a/docs/source/_static/logo.png and /dev/null differ diff --git a/docs/source/ans.rst b/docs/source/ans.rst deleted file mode 100644 index 75c203f..0000000 --- a/docs/source/ans.rst +++ /dev/null @@ -1,19 +0,0 @@ -compressai.ans -============== - -Range Asymmetric Numeral System (rANS) bindings. rANS can be used as a -replacement for a traditional range coder. - -Based on the original C++ implementation from Fabian "ryg" Giesen -`(github link) `_. - -.. currentmodule:: compressai.ans - - -RansEncoder ------------ -.. autoclass:: RansEncoder - -RansDecoder ------------ -.. autoclass:: RansDecoder diff --git a/docs/source/cli_usage.rst b/docs/source/cli_usage.rst deleted file mode 100644 index 26604fb..0000000 --- a/docs/source/cli_usage.rst +++ /dev/null @@ -1,4 +0,0 @@ -Command line usage -================== - -.. include:: cli_usage.inc diff --git a/docs/source/compressai.rst b/docs/source/compressai.rst deleted file mode 100644 index 442f6e3..0000000 --- a/docs/source/compressai.rst +++ /dev/null @@ -1,4 +0,0 @@ -compressai -========== -.. automodule:: compressai - :members: diff --git a/docs/source/conf.py b/docs/source/conf.py deleted file mode 100644 index 3e0b68a..0000000 --- a/docs/source/conf.py +++ /dev/null @@ -1,96 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -# Configuration file for the Sphinx documentation builder. -# -# This file only contains a selection of the most common options. For a full -# list see the documentation: -# https://www.sphinx-doc.org/en/master/usage/configuration.html - -# -- Path setup -------------------------------------------------------------- - -# If extensions (or modules to document with autodoc) are in another directory, -# add these directories to sys.path here. If the directory is relative to the -# documentation root, use os.path.abspath to make it absolute, like shown here. -# -import os -import sys - -sys.path.insert(0, os.path.abspath("../compressai/")) - -# -- Project information ----------------------------------------------------- - -project = "compressai" -copyright = "2021, InterDigital Communications, Inc" -author = "InterDigital Communications, Inc." - -# -- General configuration --------------------------------------------------- - -# Add any Sphinx extension module names here, as strings. They can be -# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom -# ones. -extensions = [ - "sphinx.ext.autodoc", - "sphinx.ext.mathjax", - "sphinx.ext.napoleon", - "sphinx.ext.viewcode", -] - -napoleon_use_ivar = True - -# Add any paths that contain templates here, relative to this directory. -templates_path = ["_templates"] - -# List of patterns, relative to source directory, that match files and -# directories to ignore when looking for source files. -# This pattern also affects html_static_path and html_extra_path. -exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"] - -# -- Options for HTML output ------------------------------------------------- - -# The theme to use for HTML and HTML Help pages. See the documentation for -# a list of builtin themes. -# -# html_theme = "sphinx_rtd_theme" -html_theme = "sphinx_book_theme" -html_title = "CompressAI" -html_logo = "_static/logo.png" -html_show_sphinx = False -html_theme_options = { - "repository_url": "https://github.com/InterDigitalInc/CompressAI/", - "use_repository_button": True, - "use_fullscreen_button": False, - "pygment_light_style": "tango", - "pygment_dark_style": "dracula", -} - -# Add any paths that contain custom static files (such as style sheets) here, -# relative to this directory. They are copied after the builtin static files, -# so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ["_static"] diff --git a/docs/source/datasets.rst b/docs/source/datasets.rst deleted file mode 100644 index 45a23a1..0000000 --- a/docs/source/datasets.rst +++ /dev/null @@ -1,16 +0,0 @@ -compressai.datasets -=================== - -.. currentmodule:: compressai.datasets - - -ImageFolder ------------ -.. autoclass:: ImageFolder - :members: - - -VideoFolder ------------ -.. autoclass:: VideoFolder - :members: \ No newline at end of file diff --git a/docs/source/entropy_models.rst b/docs/source/entropy_models.rst deleted file mode 100644 index 6df1316..0000000 --- a/docs/source/entropy_models.rst +++ /dev/null @@ -1,14 +0,0 @@ -compressai.entropy_models -========================= - -.. currentmodule:: compressai.entropy_models - - -EntropyBottleneck ------------------ -.. autoclass:: EntropyBottleneck - - -GaussianConditional -------------------- -.. autoclass:: GaussianConditional diff --git a/docs/source/generate_cli_help.py b/docs/source/generate_cli_help.py deleted file mode 100644 index 1329f2c..0000000 --- a/docs/source/generate_cli_help.py +++ /dev/null @@ -1,86 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -# Based on https://github.com/facebookresearch/ParlAI/tree/c06c40603f45918f58cb09122fa8c74dd4047057/docs/source - -import importlib -import io - -from pathlib import Path - -import compressai.utils - - -def get_utils(): - rootdir = Path(compressai.utils.__file__).parent - for d in sorted(rootdir.iterdir()): - if d.is_dir() and (d / "__main__.py").is_file(): - yield d - - -def main(): - fout = open("cli_usage.inc", "w") - - for p in get_utils(): - try: - m = importlib.import_module(f"compressai.utils.{p.name}.__main__") - except ImportError: - continue - - if not hasattr(m, "setup_args"): - continue - - fout.write(p.name) - fout.write("\n") - fout.write("-" * len(p.name)) - fout.write("\n") - - doc = m.__doc__ - if doc: - fout.write(doc) - fout.write("\n") - - fout.write(".. code-block:: text\n\n") - capture = io.StringIO() - parser = m.setup_args() - if isinstance(parser, tuple): - parser = parser[0] - parser.prog = f"python -m compressai.utils.{p.name}" - parser.print_help(capture) - - for line in capture.getvalue().split("\n"): - fout.write(f"\t{line}\n") - - fout.write("\n\n") - - fout.close() - - -if __name__ == "__main__": - main() diff --git a/docs/source/index.rst b/docs/source/index.rst deleted file mode 100644 index fe6f240..0000000 --- a/docs/source/index.rst +++ /dev/null @@ -1,52 +0,0 @@ -CompressAI -========== - -CompressAI (*compress-ay*) is a PyTorch library and evaluation platform for -end-to-end compression research. - -.. image:: ../../assets/kodak-psnr.png - -.. toctree:: - :maxdepth: 1 - - intro - installation - -.. toctree:: - :maxdepth: 1 - :caption: Tutorials - - tutorials/tutorial_train - Custom model - -.. toctree:: - :maxdepth: 1 - :caption: Library API - - compressai - ans - datasets - entropy_models - latent_codecs - layers - models - ops - transforms - -.. toctree:: - :maxdepth: 2 - :caption: Model Zoo - - zoo - -.. toctree:: - :maxdepth: 2 - :caption: Utils - - cli_usage - - -.. toctree:: - :caption: Development - - Github repository diff --git a/docs/source/installation.rst b/docs/source/installation.rst deleted file mode 100644 index 44dfee9..0000000 --- a/docs/source/installation.rst +++ /dev/null @@ -1,88 +0,0 @@ -Installation -============ - -CompressAI supports python 3.6+ and PyTorch 1.7+. - -From PyPI -~~~~~~~~~~~ - -This is the recommended method to get started. - -.. code-block:: bash - - pip install compressai - - -From source -~~~~~~~~~~~ - -We recommend to use a virtual environment to isolate project packages from the -base system installation. - -Requirements ------------- - -* pip 19.0 or later -* a C++17 compiler (tested with `gcc` and `clang`) -* python packages: `numpy`, `scipy`, `torch`, `torchvision` - - -Virtual environment -------------------- - -.. code-block:: bash - - python3 -m venv venv - source ./venv/bin/activate - pip install -U pip - - -Using pip ---------- - -1. Clone the CompressAI repository: - -.. code-block:: bash - - git clone https://github.com/InterDigitalInc/CompressAI compressai - -2. Install CompressAI: - -.. code-block:: bash - - cd compressai - pip install -e . - -3. Custom installation - -You can also run one of the following commands: - -* :code:`pip install -e '.[dev]'`: install the packages required for development (testing, linting, docs) -* :code:`pip install -e '.[tutorials]'`: install the packages required for the tutorials (notebooks) -* :code:`pip install -e '.[all]'`: install all the optional packages - - -Build your own package ----------------------- - -You can also build your own pip package: - -.. code-block:: bash - - git clone https://github.com/InterDigitalInc/CompressAI compressai - cd compressai - python3 setup.py bdist_wheel --dist-dir dist/ - pip install dist/compressai-*.whl - -.. note:: - on MacOS you might want to use :code:`CC=clang CXX=clang++ pip install ...` to - compile with clang instead of gcc. - - -Docker -~~~~~~ - -We are planning to publish docker images in the future. - -For now, a Makefile is provided to build docker images locally. -Run :code:`make help` in the source code directory to list the available options. diff --git a/docs/source/intro.rst b/docs/source/intro.rst deleted file mode 100644 index 5861343..0000000 --- a/docs/source/intro.rst +++ /dev/null @@ -1,32 +0,0 @@ -Introduction -============ - -Concept -~~~~~~~ - -CompressAI is built on top of PyTorch and provides: - -* custom operations, layers and models for deep learning based data compression - -* a partial port of the official `TensorFlow compression - `_ library - -* pre-trained end-to-end compression models for learned image compression - -* evaluation scripts to compare learned models against classical image/video - compression codecs - - -CompressAI aims to allow more researchers to contribute to the learned -image and video compression domain, by providing resources to research, -implement and evaluate machine learning based compression codecs. - - -Model Zoo -~~~~~~~~~ - -CompressAI includes some pre-trained models for compression tasks. See the Model -Zoo section for more documentation. - -The list of available models, trained at different bit-rate distortion points -and with different metrics, is expected to grow in the future. diff --git a/docs/source/latent_codecs.rst b/docs/source/latent_codecs.rst deleted file mode 100644 index ba1a8ef..0000000 --- a/docs/source/latent_codecs.rst +++ /dev/null @@ -1,331 +0,0 @@ -compressai.latent_codecs -======================== - -.. currentmodule:: compressai.latent_codecs - - -A :py:class:`~LatentCodec` is an abstraction for compressing a latent space using some entropy modeling technique. -A :py:class:`~LatentCodec` can be thought of as a miniature :py:class:`~compressai.models.base.CompressionModel`. -In fact, it implements some of the same methods: ``forward``, ``compress``, and ``decompress``, as described in :ref:`define-custom-latent-codec`. -By composing latent codecs, we can easily create more complex entropy models. - -CompressAI provides the following predefined :py:class:`~LatentCodec` subclasses: - -.. list-table:: - :widths: 25 75 - :header-rows: 1 - - * - Module name - - Description - * - :py:class:`~EntropyBottleneckLatentCodec` - - Uses an :py:class:`~compressai.entropy_models.EntropyBottleneck` to encode ``y``. - * - :py:class:`~GaussianConditionalLatentCodec` - - Uses a :py:class:`~compressai.entropy_models.GaussianConditional` to encode ``y`` using ``(scale, mean)`` parameters. - * - :py:class:`~HyperLatentCodec` - - Uses an :py:class:`~compressai.entropy_models.EntropyBottleneck` to encode ``z``, with surrounding ``h_a`` and ``h_s`` transforms. - * - :py:class:`~HyperpriorLatentCodec` - - Uses an e.g. :py:class:`~GaussianConditionalLatentCodec` or :py:class:`~RasterScanLatentCodec` to encode ``y``, using ``(scale, mean)`` parameters generated from an e.g. :py:class:`~HyperLatentCodec`. - * - :py:class:`~RasterScanLatentCodec` - - Encodes ``y`` in raster-scan order using a PixelCNN-style autoregressive context model. - * - :py:class:`~GainHyperLatentCodec` - - Like :py:class:`~HyperLatentCodec`, but with trainable gain vectors for ``z``. - * - :py:class:`~GainHyperpriorLatentCodec` - - Like :py:class:`~HyperpriorLatentCodec`, but with trainable gain vectors for ``y``. - - -Diagrams for some of the above predefined latent codecs: - -.. code-block:: none - - HyperLatentCodec: - - ┌───┐ z ┌───┐ z_hat z_hat ┌───┐ - y ──►──┤h_a├──►──┤ Q ├───►───····───►───┤h_s├──►── params - └───┘ └───┘ EB └───┘ - - Entropy bottleneck codec with surrounding `h_a` and `h_s` transforms. - -.. code-block:: none - - GaussianConditionalLatentCodec: - - ctx_params - │ - ▼ - │ - ┌──┴──┐ - │ EP │ - └──┬──┘ - │ - ┌───┐ y_hat ▼ - y ──►──┤ Q ├────►────····──►── y_hat - └───┘ GC - - Gaussian conditional for compressing latent `y` using `ctx_params`. - -.. code-block:: none - - HyperpriorLatentCodec: - - ┌──────────┐ - ┌─►──┤ lc_hyper ├──►─┐ - │ └──────────┘ │ - │ ▼ params - │ │ - │ ┌──┴───┐ - y ──┴───────►─────────┤ lc_y ├───►── y_hat - └──────┘ - - Composes a HyperLatentCodec and a "lc_y" latent codec such as - GaussianConditionalLatentCodec or RasterScanLatentCodec. - -.. code-block:: none - - RasterScanLatentCodec: - - ctx_params - │ - ▼ - │ ┌───◄───┐ - ┌─┴─┴─┐ ┌──┴──┐ - │ EP │ │ CP │ - └──┬──┘ └──┬──┘ - │ │ - │ ▲ - ┌───┐ y_hat ▼ │ - y ──►──┤ Q ├────►────····───►──┴──►── y_hat - └───┘ GC - - -Rationale ---------- - -This abstraction makes it easy to swap between different entropy models such as "factorized", "hyperprior", "raster scan autoregressive", "checkerboard", or "channel conditional groups". - -It also aids in composition: we may now easily take any complicated composition of the above :py:class:`~LatentCodec` subclasses. For example, we may create models containing multiple hyperprior branches (`Hu et al., 2020`_), or a "channel conditional group" context model which encodes each group using "raster-scan" (`Minnen et al., 2020`_) or "checkerboard" (`He et al., 2022`_) autoregression, and so on. - -Lastly, it reduces code duplication, and favors `composition instead of inheritance`_. - -.. _Hu et al., 2020: https://huzi96.github.io/coarse-to-fine-compression.html -.. _Minnen et al., 2020: https://arxiv.org/abs/2007.08739 -.. _He et al., 2022: https://arxiv.org/abs/2203.10886 -.. _composition instead of inheritance: https://en.wikipedia.org/wiki/Composition_over_inheritance - - -Example models --------------- - -A simple VAE model with an arbitrary latent codec can be implemented as follows: - -.. code-block:: python - - class SimpleVAECompressionModel(CompressionModel): - """Simple VAE model with arbitrary latent codec. - - .. code-block:: none - - ┌───┐ y ┌────┐ y_hat ┌───┐ - x ──►──┤g_a├──►──┤ lc ├───►───┤g_s├──►── x_hat - └───┘ └────┘ └───┘ - """ - - g_a: nn.Module - g_s: nn.Module - latent_codec: LatentCodec - - def forward(self, x): - y = self.g_a(x) - y_out = self.latent_codec(y) - y_hat = y_out["y_hat"] - x_hat = self.g_s(y_hat) - return { - "x_hat": x_hat, - "likelihoods": y_out["likelihoods"], - } - - def compress(self, x): - y = self.g_a(x) - outputs = self.latent_codec.compress(y) - return outputs - - def decompress(self, strings, shape): - y_out = self.latent_codec.decompress(strings, shape) - y_hat = y_out["y_hat"] - x_hat = self.g_s(y_hat).clamp_(0, 1) - return { - "x_hat": x_hat, - } - -This pattern is so common that CompressAI provides it via the import: - -.. code-block:: python - - from compressai.models.base import SimpleVAECompressionModel - -Using :py:class:`~compressai.models.base.SimpleVAECompressionModel`, some Google-style VAE models may be implemented as follows: - -.. code-block:: python - - @register_model("bmshj2018-factorized") - class FactorizedPrior(SimpleVAECompressionModel): - def __init__(self, N, M, **kwargs): - super().__init__(**kwargs) - - self.g_a = nn.Sequential(...) - self.g_s = nn.Sequential(...) - - self.latent_codec = EntropyBottleneckLatentCodec(channels=M) - - -.. code-block:: python - - @register_model("mbt2018-mean") - class MeanScaleHyperprior(SimpleVAECompressionModel): - def __init__(self, N, M, **kwargs): - super().__init__(**kwargs) - - self.g_a = nn.Sequential(...) - self.g_s = nn.Sequential(...) - h_a = nn.Sequential(...) - h_s = nn.Sequential(...) - - self.latent_codec = HyperpriorLatentCodec( - # A HyperpriorLatentCodec is made of "hyper" and "y" latent codecs. - latent_codec={ - # Side-information branch with entropy bottleneck for "z": - "hyper": HyperLatentCodec( - h_a=h_a, - h_s=h_s, - entropy_bottleneck=EntropyBottleneck(N), - ), - # Encode y using GaussianConditional: - "y": GaussianConditionalLatentCodec(), - }, - ) - - -.. code-block:: python - - @register_model("mbt2018") - class JointAutoregressiveHierarchicalPriors(SimpleVAECompressionModel): - def __init__(self, N, M, **kwargs): - super().__init__(**kwargs) - - self.g_a = nn.Sequential(...) - self.g_s = nn.Sequential(...) - h_a = nn.Sequential(...) - h_s = nn.Sequential(...) - - self.latent_codec = HyperpriorLatentCodec( - # A HyperpriorLatentCodec is made of "hyper" and "y" latent codecs. - latent_codec={ - # Side-information branch with entropy bottleneck for "z": - "hyper": HyperLatentCodec( - h_a=h_a, - h_s=h_s, - entropy_bottleneck=EntropyBottleneck(N), - ), - # Encode y using autoregression in raster-scan order: - "y": RasterScanLatentCodec( - entropy_parameters=nn.Sequential(...), - context_prediction=MaskedConv2d( - M, M * 2, kernel_size=5, padding=2, stride=1 - ), - ), - }, - ) - - -.. _define-custom-latent-codec: - -Defining a custom latent codec ------------------------------- - -Latent codecs should inherit from the abstract base class :py:class:`~LatentCodec`, which is defined as: - -.. code-block:: python - - class LatentCodec(nn.Module, _SetDefaultMixin): - def forward(self, y: Tensor, *args, **kwargs) -> Dict[str, Any]: - raise NotImplementedError - - def compress(self, y: Tensor, *args, **kwargs) -> Dict[str, Any]: - raise NotImplementedError - - def decompress( - self, strings: List[List[bytes]], shape: Any, *args, **kwargs - ) -> Dict[str, Any]: - raise NotImplementedError - - -Like :py:class:`~compressai.models.base.CompressionModel`, a subclass of :py:class:`~LatentCodec` should implement: - -- ``forward``: differentiable function for training, returning a ``dict`` in the form of: - - .. code-block:: python - - { - "likelihoods": { - "y": y_likelihoods, - ... - }, - "y_hat": y_hat, - } - -- ``compress``: compressor to generate bitstreams from input tensor, returning a ``dict`` in the form of: - - .. code-block:: python - - { - "strings": [y_strings, z_strings], - "shape": ..., - } - -- ``decompress``: decompressor to reconstruct the input tensors using the bitstreams, returning a ``dict`` in the form of: - - .. code-block:: python - - { - "y_hat": y_hat, - } - -Please refer to any of the predefined latent codecs for more concrete examples. - - ----- - - -EntropyBottleneckLatentCodec ----------------------------- -.. autoclass:: EntropyBottleneckLatentCodec - - -GaussianConditionalLatentCodec ------------------------------- -.. autoclass:: GaussianConditionalLatentCodec - - -HyperLatentCodec ----------------- -.. autoclass:: HyperLatentCodec - - -HyperpriorLatentCodec ---------------------- -.. autoclass:: HyperpriorLatentCodec - - -RasterScanLatentCodec ---------------------- -.. autoclass:: RasterScanLatentCodec - - -GainHyperLatentCodec --------------------- -.. autoclass:: GainHyperLatentCodec - - -GainHyperpriorLatentCodec -------------------------- -.. autoclass:: GainHyperpriorLatentCodec - diff --git a/docs/source/layers.rst b/docs/source/layers.rst deleted file mode 100644 index 4ad8ac6..0000000 --- a/docs/source/layers.rst +++ /dev/null @@ -1,44 +0,0 @@ -compressai.layers -================= - -.. currentmodule:: compressai.layers - - -MaskedConv2d ------------- -.. autoclass:: MaskedConv2d - - -GDN ---- -.. autoclass:: GDN - - -GDN1 ----- -.. autoclass:: GDN1 - - -ResidualBlock -------------- -.. autoclass:: ResidualBlock - - -ResidualBlockWithStride ------------------------ -.. autoclass:: ResidualBlockWithStride - - -ResidualBlockUpsample ---------------------- -.. autoclass:: ResidualBlockUpsample - - -AttentionBlock --------------- -.. autoclass:: AttentionBlock - - -QReLU --------------- -.. autoclass:: QReLU \ No newline at end of file diff --git a/docs/source/media/images/bmshj2018-factorized-mse.png b/docs/source/media/images/bmshj2018-factorized-mse.png deleted file mode 100644 index 21a59fd..0000000 Binary files a/docs/source/media/images/bmshj2018-factorized-mse.png and /dev/null differ diff --git a/docs/source/media/images/bmshj2018-hyperprior-mse.png b/docs/source/media/images/bmshj2018-hyperprior-mse.png deleted file mode 100644 index ecf113d..0000000 Binary files a/docs/source/media/images/bmshj2018-hyperprior-mse.png and /dev/null differ diff --git a/docs/source/media/images/compressai-clic2020-mobile.png b/docs/source/media/images/compressai-clic2020-mobile.png deleted file mode 100644 index 27d554e..0000000 Binary files a/docs/source/media/images/compressai-clic2020-mobile.png and /dev/null differ diff --git a/docs/source/media/images/compressai-clic2020-pro.png b/docs/source/media/images/compressai-clic2020-pro.png deleted file mode 100644 index 9ec54e2..0000000 Binary files a/docs/source/media/images/compressai-clic2020-pro.png and /dev/null differ diff --git a/docs/source/media/images/compressai.png b/docs/source/media/images/compressai.png deleted file mode 100644 index 2a32d6d..0000000 Binary files a/docs/source/media/images/compressai.png and /dev/null differ diff --git a/docs/source/media/images/mbt2018-mean-mse.png b/docs/source/media/images/mbt2018-mean-mse.png deleted file mode 100644 index a7811b6..0000000 Binary files a/docs/source/media/images/mbt2018-mean-mse.png and /dev/null differ diff --git a/docs/source/media/images/mbt2018-mse.png b/docs/source/media/images/mbt2018-mse.png deleted file mode 100644 index d4be33f..0000000 Binary files a/docs/source/media/images/mbt2018-mse.png and /dev/null differ diff --git a/docs/source/models.rst b/docs/source/models.rst deleted file mode 100644 index 3703df7..0000000 --- a/docs/source/models.rst +++ /dev/null @@ -1,53 +0,0 @@ -compressai.models -================= - -.. currentmodule:: compressai.models - - -CompressionModel ----------------- -.. autoclass:: CompressionModel - :members: - - -SimpleVAECompressionModel -------------------------- -.. autoclass:: SimpleVAECompressionModel - - -FactorizedPrior ----------------- -.. autoclass:: FactorizedPrior - - -ScaleHyperprior ---------------- -.. autoclass:: ScaleHyperprior - - -MeanScaleHyperprior -------------------- -.. autoclass:: MeanScaleHyperprior - - -JointAutoregressiveHierarchicalPriors -------------------------------------- -.. autoclass:: JointAutoregressiveHierarchicalPriors - - -Cheng2020Anchor ---------------- -.. autoclass:: Cheng2020Anchor - - -Cheng2020Attention ------------------- -.. autoclass:: Cheng2020Attention - - -.. currentmodule:: compressai.models.video - -ScaleSpaceFlow ------------------- -.. autoclass:: ScaleSpaceFlow - diff --git a/docs/source/ops.rst b/docs/source/ops.rst deleted file mode 100644 index 9514147..0000000 --- a/docs/source/ops.rst +++ /dev/null @@ -1,22 +0,0 @@ -compressai.ops -============== - -.. currentmodule:: compressai.ops - - -compute_padding ---------------- -.. autofunction:: compute_padding - -quantize_ste ------------- -.. autofunction:: quantize_ste - -LowerBound ----------- -.. autoclass:: LowerBound - - -NonNegativeParametrizer ------------------------ -.. autoclass:: NonNegativeParametrizer diff --git a/docs/source/transforms.rst b/docs/source/transforms.rst deleted file mode 100644 index 8866d8e..0000000 --- a/docs/source/transforms.rst +++ /dev/null @@ -1,25 +0,0 @@ -compressai.transforms -===================== - -.. currentmodule:: compressai.transforms - - -Transforms on Tensors ---------------------- - -.. autoclass:: RGB2YCbCr - -.. autoclass:: YCbCr2RGB - -.. autoclass:: YUV420To444 - -.. autoclass:: YUV444To420 - - -Functional Transforms ---------------------- - -Functional transforms can be used to define custom transform classes. - -.. automodule:: compressai.transforms.functional - :members: diff --git a/docs/source/tutorials/tutorial_custom.rst b/docs/source/tutorials/tutorial_custom.rst deleted file mode 100644 index ad65c84..0000000 --- a/docs/source/tutorials/tutorial_custom.rst +++ /dev/null @@ -1,207 +0,0 @@ -Train your own model -==================== - -In this tutorial we are going to implement a custom auto encoder architecture -by using some modules and layers pre-defined in CompressAI. - -For a complete runnable example, check out the :code:`train.py` script in the -:code:`examples/` folder of the CompressAI source tree. - - -Defining a custom model ------------------------ - -Let's build a simple auto encoder with an -:mod:`~compressai.entropy_models.EntropyBottleneck` module, 3 convolutions at -the encoder, 3 transposed deconvolutions for the decoder, and -:mod:`~compressai.layers.GDN` activation functions: - -.. code-block:: python - - import torch.nn as nn - - from compressai.entropy_models import EntropyBottleneck - from compressai.layers import GDN - - class Network(nn.Module): - def __init__(self, N=128): - super().__init__() - self.entropy_bottleneck = EntropyBottleneck(N) - self.encode = nn.Sequential( - nn.Conv2d(3, N, stride=2, kernel_size=5, padding=2), - GDN(N) - nn.Conv2d(N, N, stride=2, kernel_size=5, padding=2), - GDN(N) - nn.Conv2d(N, N, stride=2, kernel_size=5, padding=2), - ) - - self.decode = nn.Sequential( - nn.ConvTranspose2d(N, N, kernel_size=5, padding=2, output_padding=1, stride=2) - GDN(N, inverse=True), - nn.ConvTranspose2d(N, N, kernel_size=5, padding=2, output_padding=1, stride=2) - GDN(N, inverse=True), - nn.ConvTranspose2d(N, 3, kernel_size=5, padding=2, output_padding=1, stride=2) - ) - - def forward(self, x): - y = self.encode(x) - y_hat, y_likelihoods = self.entropy_bottleneck(y) - x_hat = self.decode(y_hat) - return x_hat, y_likelihoods - - -The convolutions are strided to reduce the spatial dimensions of the tensor, -while increasing the number of channels (which helps to learn better latent -representation). The bottleneck module is used to obtain a differentiable -entropy estimation of the latent tensors while training. - -.. note:: - - See the original paper: `"Variational image compression with a scale - hyperprior" `_, and the **tensorflow/compression** - `documentation `_ - for a detailed explanation of the EntropyBottleneck module. - - -Loss functions --------------- - -1. Rate distortion loss -~~~~~~~~~~~~~~~~~~~~~~~ - -We are going to define a simple rate-distortion loss, which maximizes the -PSNR reconstruction (RGB) and minimizes the length (in bits) of the quantized -latent tensor (:code:`y_hat`). - -A scalar is used to balance between the reconstruction quality and the -bit-rate (like the JPEG quality parameter, or the QP with HEVC): - -.. math:: - - \mathcal{L} = \mathcal{D} + \lambda * \mathcal{R} - -.. code-block:: python - - import math - import torch.nn as nn - import torch.nn.functional as F - - x = torch.rand(1, 3, 64, 64) - net = Network() - x_hat, y_likelihoods = net(x) - - # bitrate of the quantized latent - N, _, H, W = x.size() - num_pixels = N * H * W - bpp_loss = torch.log(y_likelihoods).sum() / (-math.log(2) * num_pixels) - - # mean square error - mse_loss = F.mse_loss(x, x_hat) - - # final loss term - loss = mse_loss + lmbda * bpp_loss - - -.. note:: - - It's possible to train architectures that can handle multiple bit-rate - distortion points but that's outside the scope of this tutorial. See this - paper: `"Variable Rate Deep Image Compression With a Conditional Autoencoder" - `_ - for a good example. - - -2. Auxiliary loss -~~~~~~~~~~~~~~~~~ - -The entropy bottleneck parameters need to be trained to minimize the density -model evaluation of the latent elements. The auxiliary loss is accessible -through the :code:`entropy_bottleneck` layer: - -.. code-block:: python - - aux_loss = net.entropy_bottleneck.loss() - -The auxiliary loss must be minimized during or after the training of the -network. - - -Optimizers ----------- - -To train both the compression network and the entropy bottleneck densities -estimation, we will thus need two optimizers. To simplify the implementation, -CompressAI provides a :mod:`~compressai.models.CompressionModel` base class, -that includes an :mod:`~compressai.entropy_models.EntropyBottleneck` module -and some helper methods, let's rewrite our network: - -.. code-block:: python - - from compressai.models import CompressionModel - from compressai.models.utils import conv, deconv - - class Network(CompressionModel): - def __init__(self, N=128): - super().__init__() - self.encode = nn.Sequential( - conv(3, N), - GDN(N) - conv(N, N), - GDN(N) - conv(N, N), - ) - - self.decode = nn.Sequential( - deconv(N, N), - GDN(N, inverse=True), - deconv(N, N), - GDN(N, inverse=True), - deconv(N, 3), - ) - - def forward(self, x): - y = self.encode(x) - y_hat, y_likelihoods = self.entropy_bottleneck(y) - x_hat = self.decode(y_hat) - return x_hat, y_likelihoods - - -Now, we can simply access the two sets of trainable parameters: - -.. code-block:: python - - import torch.optim as optim - - parameters = set(p for n, p in net.named_parameters() if not n.endswith(".quantiles")) - aux_parameters = set(p for n, p in net.named_parameters() if n.endswith(".quantiles")) - optimizer = optim.Adam(parameters, lr=1e-4) - aux_optimizer = optim.Adam(aux_parameters, lr=1e-3) - -.. note:: - - You can also use :code:`torch.optim.Optimizer` `parameter groups `_ to define a single optimizer. - -Training loop -------------- - -And write a training loop: - -.. code-block:: python - - x = torch.rand(1, 3, 64, 64) - for i in range(10): - optimizer.zero_grad() - aux_optimizer.zero_grad() - - x_hat, y_likelihoods = net(x) - - # ... - # compute loss as before - # ... - - loss.backward() - optimizer.step() - - aux_loss = net.aux_loss() - aux_loss.backward() - aux_optimizer.step() diff --git a/docs/source/tutorials/tutorial_train.rst b/docs/source/tutorials/tutorial_train.rst deleted file mode 100644 index 48df8aa..0000000 --- a/docs/source/tutorials/tutorial_train.rst +++ /dev/null @@ -1,79 +0,0 @@ -Training -======== - -An example training script :code:`train.py` is provided script in the -:code:`examples/` folder of the CompressAI source tree. - -Example: - -.. code-block:: bash - - python3 examples/train.py -m mbt2018-mean -d /path/to/image/dataset \ - --batch-size 16 -lr 1e-4 --save --cuda - -Run `train.py --help` to list the available options. See also the model zoo -:ref:`training ` section to reproduce the performances of the -pretrained models. - -Model update ------------------- - -Once a model has been trained, you need to run the :code:`update_model` script -to update the internal parameters of the entropy bottlenecks: - -.. code-block:: bash - - python -m compressai.utils.update_model --architecture ARCH checkpoint_best_loss.pth.tar - -This will modify the buffers related to the learned cumulative distribution -functions (CDFs) required to perform the actual entropy coding. - - -You can run :code:`python -m compressai.utils.update_model --help` to get the -complete list of options. - - -Alternatively, you can call the :meth:`~compressai.models.CompressionModel.update` -method of a :mod:`~compressai.models.CompressionModel` or -:mod:`~compressai.entropy_models.EntropyBottleneck` instance at the end of your -training script, before saving the model checkpoint. - -Model evaluation --------------------- - -Once a model checkpoint has been updated, you can use :code:`eval_model` to get -its performances on an image dataset: - -.. code-block:: bash - - python -m compressai.utils.eval_model checkpoint /path/to/image/dataset \ - -a ARCH -p path/to/checkpoint-xxxxxxxx.pth.tar - -You can run :code:`python -m compressai.utils.eval_model --help` to get the -complete list of options. - -Entropy coding --------------- - -By default CompressAI uses a range Asymmetric Numeral Systems (ANS) entropy -coder. You can use :meth:`compressai.available_entropy_coders()` to get a list -of the implemented entropy coders and change the default entropy coder via -:meth:`compressai.set_entropy_coder()`. - - -1. Compress an image tensor to a bit-stream: - -.. code-block:: python - - x = torch.rand(1, 3, 64, 64) - y = net.encode(x) - strings = net.entropy_bottleneck.compress(y) - - -2. Decompress a bit-stream to an image tensor: - -.. code-block:: python - - shape = y.size()[2:] - y_hat = net.entropy_bottleneck.decompress(strings, shape) - x_hat = net.decode(y_hat) diff --git a/docs/source/zoo.rst b/docs/source/zoo.rst deleted file mode 100644 index 1e95a09..0000000 --- a/docs/source/zoo.rst +++ /dev/null @@ -1,291 +0,0 @@ -Image compression -================= - -.. currentmodule:: compressai.zoo - -This is the list of the pre-trained models for end-to-end image compression -available in CompressAI. - -Currently, only models optimized w.r.t to the mean square error (*mse*) computed -on the RGB channels are available. We expect to release models fine-tuned with -other metrics in the future. - -Pass :code:`pretrained=True` to construct a model with pretrained weights. - -Instancing a pre-trained model will download its weights to a cache directory. -See the official `PyTorch documentation -`_ -for details on the mechanics of loading models from url in PyTorch. - -The current pre-trained models expect input batches of RGB image tensors of -shape (N, 3, H, W). H and W are expected to be at least 64. The images data have -to be in the [0, 1] range. The images *should not be normalized*. Based on the -number of strided convolutions and deconvolutions of the model you are using, -you might have to pad the input tensors H and W dimensions to be a power of 2. - -Models may have different behaviors for their training or evaluation modes. For -example, the quantization operations may be performed differently. You can use -``model.train()`` or ``model.eval()`` to switch between modes. See the PyTorch -documentation for more information on -`train `_ -and `eval `_. - -.. _zoo-training: - -Training -~~~~~~~~ - -Unless specified otherwise, networks were trained for 4-5M steps on *256x256* -image patches randomly extracted and cropped from the `Vimeo90K -`_ dataset [xue2019video]_. - -Models were trained with a batch size of 16 or 32, and an initial learning rate -of 1e-4 for approximately 1-2M steps. The learning rate of the main optimizer is -then divided by 2 when the evaluation loss reaches a plateau (we use a patience -of 20 epochs). This can be implemented by using PyTorch `ReduceLROnPlateau `_ learning rate scheduler. - -Training usually take between one or two weeks to reach state-of-the-art -performances, depending on the model, the number of channels and the GPU -architecture used. - -The following loss functions and lambda values were used for training: - -.. csv-table:: - :header: "Metric", "Loss function" - :widths: 10, 50 - - MSE, :math:`\mathcal{L} = \lambda * 255^{2} * \mathcal{D} + \mathcal{R}` - MS-SSIM, :math:`\mathcal{L} = \lambda * (1 - \mathcal{D}) + \mathcal{R}` - -with :math:`\mathcal{D}` and :math:`\mathcal{R}` respectively the mean -distortion and the mean estimated bit-rate. - - -.. csv-table:: - :header: "Quality", 1, 2, 3, 4, 5, 6, 7, 8 - :widths: 10, 5, 5, 5, 5, 5, 5, 5, 5 - - MSE, 0.0018, 0.0035, 0.0067, 0.0130, 0.0250, 0.0483, 0.0932, 0.1800 - MS-SSIM, 2.40, 4.58, 8.73, 16.64, 31.73, 60.50, 115.37, 220.00 - -.. note:: MS-SSIM optimized networks were fine-tuned from pre-trained MSE - networks (with a learning rate of 1e-5 for both optimizers). - -.. note:: The number of channels for the convolutionnal layers and the entropy - bottleneck depends on the architecture and the quality parameter (~targeted - bit-rate). For low bit-rates (<0.5 bpp), the literature usually recommends 192 - channels for the entropy bottleneck, and 320 channels for higher bitrates. - The detailed list of configurations can be found in - :obj:`compressai.zoo.image.cfgs`. - -.. note:: For the *cheng2020_\** architectures, we trained with the first 6 - quality parameters. - -.... - -Models -~~~~~~ - -.. warning:: All the models are currently implemented using floating point - operations only. As such operations are not reproducible and - encoding/decoding on different devices is not supported. See the following - paper, `"Integer Networks for Data Compression with Latent-Variable Models" - `_ by Ballé *et al.*, for - solutions to implement cross-platform encoding and decoding. - -bmshj2018_factorized --------------------- -Original paper: [bmshj2018]_ - -.. autofunction:: bmshj2018_factorized - - -bmshj2018_hyperprior --------------------- -Original paper: [bmshj2018]_ - -.. autofunction:: bmshj2018_hyperprior - - -mbt2018_mean ------------- -Original paper: [mbt2018]_ - -.. autofunction:: mbt2018_mean - - -mbt2018 -------- -Original paper: [mbt2018]_ - -.. autofunction:: mbt2018 - - -cheng2020_anchor ----------------- -Original paper: [cheng2020]_ - -.. autofunction:: cheng2020_anchor - - -cheng2020_attn --------------- -Original paper: [cheng2020]_ - -.. autofunction:: cheng2020_attn - -.. warning:: Pre-trained weights are not yet available for this architecture. - -.... - - -Performances -~~~~~~~~~~~~ - -.. note:: See the `CompressAI paper `_ on - arXiv for more comparisons and evaluations. - -all models ----------- -.. image:: media/images/compressai.png - -.. image:: media/images/compressai-clic2020-mobile.png - -.. image:: media/images/compressai-clic2020-pro.png - -bmshj2018 factorized --------------------- - -From: [bmshj2018]_. - -.. image:: media/images/bmshj2018-factorized-mse.png - -bmshj2018 hyperprior --------------------- - -From: [bmshj2018]_. - -.. image:: media/images/bmshj2018-hyperprior-mse.png - -mbt2018 mean ------------- - -From: [mbt2018]_. - -.. image:: media/images/mbt2018-mean-mse.png - -mbt2018 -------- - -From: [mbt2018]_. - -.. image:: media/images/mbt2018-mse.png - -.... - -.. rubric:: Citations - -.. [bmshj2018] - - .. code-block:: bibtex - - @inproceedings{ballemshj18, - author = {Johannes Ball{\'{e}} and - David Minnen and - Saurabh Singh and - Sung Jin Hwang and - Nick Johnston}, - title = {Variational image compression with a scale hyperprior}, - booktitle = {6th International Conference on Learning Representations, {ICLR} 2018, - Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings}, - publisher = {OpenReview.net}, - year = {2018}, - } - - -.. [mbt2018] - - .. code-block:: bibtex - - @inproceedings{minnenbt18, - author = {David Minnen and - Johannes Ball{\'{e}} and - George Toderici}, - editor = {Samy Bengio and - Hanna M. Wallach and - Hugo Larochelle and - Kristen Grauman and - Nicol{\`{o}} Cesa{-}Bianchi and - Roman Garnett}, - title = {Joint Autoregressive and Hierarchical Priors for Learned Image Compression}, - booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference - on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December - 2018, Montr{\'{e}}al, Canada}, - pages = {10794--10803}, - year = {2018}, - } - - -.. [xue2019video] - .. code-block:: bibtex - - @article{xue2019video, - title={Video Enhancement with Task-Oriented Flow}, - author={Xue, Tianfan and Chen, Baian and Wu, Jiajun and Wei, Donglai and - Freeman, William T}, - journal={International Journal of Computer Vision (IJCV)}, - volume={127}, - number={8}, - pages={1106--1125}, - year={2019}, - publisher={Springer} - } - - -.. [cheng2020] - .. code-block:: bibtex - - @inproceedings{cheng2020image, - title={Learned Image Compression with Discretized Gaussian Mixture - Likelihoods and Attention Modules}, - author={Cheng, Zhengxue and Sun, Heming and Takeuchi, Masaru and Katto, - Jiro}, - booktitle= "Proceedings of the IEEE Conference on Computer Vision and - Pattern Recognition (CVPR)", - year={2020} - } - -.... - -Video compression -================= - -Models -~~~~~~ - -ssf2020 -------- -Original paper: [ssf2020]_ - -.. autofunction:: ssf2020 - -.... - -.. rubric:: Citations - -.. [ssf2020] - .. code-block:: bibtex - - @inproceedings{agustsson_scale-space_2020, - title={Scale-{Space} {Flow} for {End}-to-{End} {Optimized} {Video} - {Compression}}, - author={Agustsson, Eirikur and Minnen, David and Johnston, Nick and - Balle, Johannes and Hwang, Sung Jin and Toderici, George}, - booktitle={2020 {IEEE}/{CVF} {Conference} on {Computer} {Vision} and - {Pattern} {Recognition} ({CVPR})}, - publisher= {IEEE}, - year={2020}, - month= jun, - year= {2020}, - pages= {8500--8509}, - } \ No newline at end of file diff --git a/examples/CompressAI Inference Demo.ipynb b/examples/CompressAI Inference Demo.ipynb deleted file mode 100644 index a07142b..0000000 --- a/examples/CompressAI Inference Demo.ipynb +++ /dev/null @@ -1,943 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# CompressAI inference demo" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import math\n", - "import io\n", - "import torch\n", - "from torchvision import transforms\n", - "import numpy as np\n", - "\n", - "from PIL import Image\n", - "\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from pytorch_msssim import ms_ssim" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "from compressai.zoo import bmshj2018_factorized" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "from ipywidgets import interact, widgets" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Global settings" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "device = 'cuda' if torch.cuda.is_available() else 'cpu'" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load a pretrained model" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "net = bmshj2018_factorized(quality=2, pretrained=True).eval().to(device)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Parameters: 2998147\n" - ] - } - ], - "source": [ - "print(f'Parameters: {sum(p.numel() for p in net.parameters())}')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Inference" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load image and convert to 4D float tensor" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First, we need to load an RGB image and convert it to a 4D floating point tensor, as the network expectes an input tensor of size: `(batch_size, 3, height, width)`." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "img = Image.open('./assets/stmalo_fracape.png').convert('RGB')\n", - "x = transforms.ToTensor()(img).unsqueeze(0).to(device)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "plt.figure(figsize=(12, 9))\n", - "plt.axis('off')\n", - "plt.imshow(img)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Run the network" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "dict_keys(['x_hat', 'likelihoods'])\n" - ] - } - ], - "source": [ - "with torch.no_grad():\n", - " out_net = net.forward(x)\n", - "out_net['x_hat'].clamp_(0, 1)\n", - "print(out_net.keys())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We obtain a dictionary with the decoded/reconstructed image tensor `x_hat` and the latent(s) likelihoods." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Visualize result" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Convert the Tensor back to a 2D Pillow image:" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "rec_net = transforms.ToPILImage()(out_net['x_hat'].squeeze().cpu())" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "diff = torch.mean((out_net['x_hat'] - x).abs(), axis=1).squeeze().cpu()" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "fix, axes = plt.subplots(1, 3, figsize=(16, 12))\n", - "for ax in axes:\n", - " ax.axis('off')\n", - " \n", - "axes[0].imshow(img)\n", - "axes[0].title.set_text('Original')\n", - "\n", - "axes[1].imshow(rec_net)\n", - "axes[1].title.set_text('Reconstructed')\n", - "\n", - "axes[2].imshow(diff, cmap='viridis')\n", - "axes[2].title.set_text('Difference')\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Compute metrics" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now, let's compute some common metrics..." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "def compute_psnr(a, b):\n", - " mse = torch.mean((a - b)**2).item()\n", - " return -10 * math.log10(mse)\n", - "\n", - "def compute_msssim(a, b):\n", - " return ms_ssim(a, b, data_range=1.).item()\n", - "\n", - "def compute_bpp(out_net):\n", - " size = out_net['x_hat'].size()\n", - " num_pixels = size[0] * size[2] * size[3]\n", - " return sum(torch.log(likelihoods).sum() / (-math.log(2) * num_pixels)\n", - " for likelihoods in out_net['likelihoods'].values()).item()" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PSNR: 27.08dB\n", - "MS-SSIM: 0.9484\n", - "Bit-rate: 0.214 bpp\n" - ] - } - ], - "source": [ - "print(f'PSNR: {compute_psnr(x, out_net[\"x_hat\"]):.2f}dB')\n", - "print(f'MS-SSIM: {compute_msssim(x, out_net[\"x_hat\"]):.4f}')\n", - "print(f'Bit-rate: {compute_bpp(out_net):.3f} bpp')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Comparison to classical codecs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's perform some comparison against JPEG and WebP as they are included in the Pillow library." - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "def pillow_encode(img, fmt='jpeg', quality=10):\n", - " tmp = io.BytesIO()\n", - " img.save(tmp, format=fmt, quality=quality)\n", - " tmp.seek(0)\n", - " filesize = tmp.getbuffer().nbytes\n", - " bpp = filesize * float(8) / (img.size[0] * img.size[1])\n", - " rec = Image.open(tmp)\n", - " return rec, bpp" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "from functools import partial" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "def find_closest_bpp(target, img, fmt='jpeg'):\n", - " lower = 0\n", - " upper = 100\n", - " prev_mid = upper\n", - " for i in range(10):\n", - " mid = (upper - lower) / 2 + lower\n", - " if int(mid) == int(prev_mid):\n", - " break\n", - " rec, bpp = pillow_encode(img, fmt=fmt, quality=int(mid))\n", - " if bpp > target:\n", - " upper = mid - 1\n", - " else:\n", - " lower = mid\n", - " return rec, bpp\n", - "\n", - "def find_closest_psnr(target, img, fmt='jpeg'):\n", - " lower = 0\n", - " upper = 100\n", - " prev_mid = upper\n", - " \n", - " def _psnr(a, b):\n", - " a = np.asarray(a).astype(np.float32)\n", - " b = np.asarray(b).astype(np.float32)\n", - " mse = np.mean(np.square(a - b))\n", - " return 20*math.log10(255.) -10. * math.log10(mse)\n", - " \n", - " for i in range(10):\n", - " mid = (upper - lower) / 2 + lower\n", - " if int(mid) == int(prev_mid):\n", - " break\n", - " prev_mid = mid\n", - " rec, bpp = pillow_encode(img, fmt=fmt, quality=int(mid))\n", - " psnr_val = _psnr(rec, img)\n", - " if psnr_val > target:\n", - " upper = mid - 1\n", - " else:\n", - " lower = mid\n", - " return rec, bpp, psnr_val\n", - "\n", - "def find_closest_msssim(target, img, fmt='jpeg'):\n", - " lower = 0\n", - " upper = 100\n", - " prev_mid = upper\n", - " \n", - " def _mssim(a, b):\n", - " a = torch.from_numpy(np.asarray(a).astype(np.float32)).permute(2, 0, 1).unsqueeze(0)\n", - " b = torch.from_numpy(np.asarray(b).astype(np.float32)).permute(2, 0, 1).unsqueeze(0)\n", - " return ms_ssim(a, b, data_range=255.).item()\n", - "\n", - " for i in range(10):\n", - " mid = (upper - lower) / 2 + lower\n", - " if int(mid) == int(prev_mid):\n", - " break\n", - " prev_mid = mid\n", - " rec, bpp = pillow_encode(img, fmt=fmt, quality=int(mid))\n", - " msssim_val = _mssim(rec, img)\n", - " if msssim_val > target:\n", - " upper = mid - 1\n", - " else:\n", - " lower = mid\n", - " return rec, bpp, msssim_val" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2.1 Quality comparison at similar bit-rate" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [], - "source": [ - "target_bpp = compute_bpp(out_net)\n", - "rec_jpeg, bpp_jpeg = find_closest_bpp(target_bpp, img)\n", - "rec_webp, bpp_webp = find_closest_bpp(target_bpp, img, fmt='webp')" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(2, 2, figsize=(18, 15))\n", - "for ax in axes.ravel():\n", - " ax.axis('off')\n", - "\n", - "fig.title = 'yolo'\n", - "axes[0][0].imshow(img)\n", - "axes[0][0].title.set_text('Original')\n", - "axes[0][1].imshow(rec_net)\n", - "axes[0][1].title.set_text(f'Net {target_bpp:.3f} bpp')\n", - "axes[1][0].imshow(rec_jpeg)\n", - "axes[1][0].title.set_text(f'JPEG {bpp_jpeg:.3f} bpp')\n", - "axes[1][1].imshow(rec_webp)\n", - "axes[1][1].title.set_text(f'WebP {bpp_webp:.3f} bpp')\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2.2 Bit-rate comparison at similar PSNR" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "target_psnr = compute_psnr(x, out_net[\"x_hat\"])\n", - "rec_jpeg, bpp_jpeg, psnr_jpeg = find_closest_psnr(target_psnr, img)\n", - "rec_webp, bpp_webp, psnr_webp = find_closest_psnr(target_psnr, img, fmt='webp')" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(2, 2, figsize=(18, 15))\n", - "for ax in axes.ravel():\n", - " ax.axis('off')\n", - " \n", - "axes[0][0].imshow(img)\n", - "axes[0][0].title.set_text('Original')\n", - "axes[0][1].imshow(rec_net)\n", - "axes[0][1].title.set_text(f'Net {target_bpp:.3f} bpp | {target_psnr:.2f}dB')\n", - "axes[1][0].imshow(rec_jpeg)\n", - "axes[1][0].title.set_text(f'JPEG {bpp_jpeg:.3f} bpp | {psnr_jpeg:.2f}dB')\n", - "axes[1][1].imshow(rec_webp)\n", - "axes[1][1].title.set_text(f'WebP {bpp_webp:.3f} bpp | {psnr_webp:.2f}dB')\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2.3) Bit-rate comparison at similar MS-SSIM" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "target_msssim = compute_msssim(x, out_net[\"x_hat\"])\n", - "rec_jpeg, bpp_jpeg, msssim_jpeg = find_closest_msssim(target_msssim, img)\n", - "rec_webp, bpp_webp, msssim_webp = find_closest_msssim(target_msssim, img, fmt='webp')" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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X4tYvaa3izMb1NDT2RdgzKpjQjoT6BQtkvnMqNHaB+DWenQ9Ammvv6m+OTcGtrYaVsHE9BLfvXXn1+w8qcX1MOXBD7W6NkdSGafQ3nAcQjJ8j4z+tRfwaW3KEeno5MH4v48+tAJn6cyIWxM2BCBS5ZbWt9IqKblHRa0GRqy8DasBa3Lpad95r63ZmXRv2xhm1dXuttlCrAev2QG6U3OB/KnlmaecW43GKYN2ZweEP/PpnxvW5VmVSG8paeO7YNiezA37y1ln2dIlcSr7/6gP2Nkd8cfsZKtpx79twisSdkbijDOQCmbFkxv3s5EphasrKUPuNYkRpZ5Zebskz11cT962hsh4fiJA7FEFthQqhrGBUC71sQuvGX+aVF1ZodVb46Xf7nHru+0CzeCZUXZ8KA7lx81dZ97OcuPodDhHyws1hO/NzYxUxSoaQGTAiqFUqK5QbH7Bx98ssd3PKwQHLvS4nTp/k2PoqnbxFVSr/4O/8fXq9nM2Hm3xw8xbSMfzg930O7fVYPnWZXE5ysHEPIxNOnDrBWrfH3/u7/wCynOvfeI3r9x8wEMuP/M5/nWef+wRiNR7ie9feZuXSeXqtdbeBsG7fAahE3Cr+XCLK6O7b2IN36HQty0XBbvsCxfrLyO4O++/+XVZ6B1z92Mv0OifZfbjB1u4GX//qW/zdn/ga799/hFLyw7/5e/k1n/oUY+1x0DnBZO1VVJYIp99ozfLkHnn/GqZlaS0vcfL4MU5d/t5FhupvE/zU+7uqarF1Ta1Q1Y4fqSqlrJVJpYwrqCooK/dOwz80/o7nEVQdnk3/FGv9T/8M9fjL4+3we6WOl6nV8QqKw3UKsax4moh/FhB2QCsRvQTSeCiKUpqvG+Udjk11BbqdaB4a+ALHu4UGtIHXtPH/aSrb/KvRrkAzIbuKeB6k8c7zDOlZonuBXsX6HVFM/fLP3COHO2NFiavyhYgTFsqpxAbTa2k0ONMvfP9n+xXehScS5zzVOdWj0GZYhKm6ZGoyp/ulkW+Ic9qof3Y90gyEfk1vmNl1Y15dfl4fN8bARzxxjMr03PtGJZafrqu53oR9KM1+CUanxxbosPvpy/j6RCATwRgoMmhlSidXenlNO1NaxpIbRYzEnlkVx2+rUCOOHteOP6mswxlO7kg4AnE0UgDjf888rTdGaYklE4uI61/i4f1PL29MKkFtzYU15dRqxvvXHjIsC4q24dy5dSZ1zfVHE/arNqU1qDVp7dTRPLeejkc0BjJR9y/wJ6IUGeRiKTJLHt9bRzN9Jdbz4mHfB9xXg+MD1Dieuh6zXm9wrLpNNtlmWCr97CT5yeewxQp43hXAikHFxPWW1PXIrwpgjJOhjDi5wfFzblTi1zM3FqMD9u6+x/6D98mpMMaQGcPZM8e5cuk8nW6HzY1H/NRP/DiT8ZC9/QMePtqi3Vnm/KVnuXjpWU6dOoMYGA+HSGZod9qMhgc8un+H0eCAg/09/ubf/NssHTvDj/6O38PFZ15yMkJdsr29w/7uDlefuUir1aKsbDrPEff5OVSPfasR/YfvsffoQzrdFqvrx+kurbC8vIJWYz5440sstS3PPvccmBys8vD+ff7hT/4Ut2/f5+23rqOjPj/0K7+Lz33/L2Pcu8igfRF6Z2l3lsnEINZi6zHav0envMf6EhRFRo7lmY//2rn8yGMF/RS/77aDI5ZCVcO4glFlGE8sRgyZP8m2QfgqL9wao1SVMCoN4xqsNdTqGs/FCd6ldYcNoKqNazsQZTVuA/pvHSMfBCg34bUEliwJauIFRzUNKur7acQT7UAeJeHcIPQbL3bi2wpEKPweUFJSNCSs6oRx963xdTcFRkX8/Jok+zaE/HCYNRA18EK++8OoxnIi6gV3L2ARUXeDuEvEs4EApDrcvKFC7turw/f+hJoG1cj8/CgOGTok5Nc67paGEOurERVsovnN5XACqECuATm6MYlfZfXzU2s4Z55N8Qoc48dYi1PmuDqMQyShnxAFOgMRQSUlgEShOfIX8Xdx69sARanFTI0lTK8JRI44bW5WRJzQLSbtUwTEOsQriZnK4rduPNavapiT0FYgJGo0CvyWpKDxSxQZu0yI+4iw9qKxPTPDnKhAhWCCAC9O+dYySVGmGEqrVGXYZL5P6vAAtVDbME/K2IojsP58WwuVhjlyZ9Nx5k5paFSZWLfP3FH2SipMZAqMgNRCpa6uuhbKWtgctrl0fI+uqdieCLXk7Iwy1nuQb9eUfr60gSPCWkcln3VKESUDqckJ+NHtVTwecsyHq8NaE887pHHWOKVGbY0XGgy1qldKAiPl0rlzlLbPl376CxTHP0JtLcOqwKrb++rPRp47hmNSC7mBwOBXasjEncSydnMpHt9YVTKP+2rrcZOA2Irth3fY3d7m2NI5KhXWjh+nKAryLMOqsru9g3QMVV2xvb/H3sE+p0+dZns85NqXX+P4R/o8d/mTjEZjukstRAzXb9xgp9/n+Zee5ezKd3LnL/wVXv3O7+XilY864UiFTECM0GktMxn16bbW3KmMQko6i9L4fwaMD7ZpaUW7XaAUmM4JoEU1sYgxnH3mCu3OGqPRmJ2th/zUT/40j7YP+IFPfZztv/5T2JNdLl88R6kFEzXslhktCn9onOqr0BKZ7NHu5SwvtzFSUE+mGe0F/KMGC2ojcxoRoAQa6R80ELFjYj09sl4Z7YV1p4QkGhBU3XkI9ScDR+IrZhUDkcFrbIVpzEEUEAIuOMSJzdBE93UYXKDl/kkoKDpbRfPjRDeiolhTOUktND+ZW9dsv2TmefNvk/ChhBKh7SY7Meddoo/+rdCYgaiyaDxMZVN1QWGgsRJpzNMUn/WYfkljvuLPMGeNQU/1qfmzUUJm1mlq6I3ycaUPbQ6dam1qLuaWm27nUBl58hhd/x43xum6Eo+S3sV5bUrzs3VImiuZmrvDexUJeyIy4a4l0Xg2axVKhYnN3F5U45TavhpH48PZF3/2nWBrvaI74AWrzXUJ85sEY2egDAYnQ+b50NTpOEgwzsAxLp0wPRjXZGLIqKlqoR5BVVbkRQZ4nBQGHKZJGsOWxBOHsQsNw5hVMIJY94E1UNvMfS9hhhN/Zv14nIJTncIDS4Uh9wdO6wqtS+rSUmcgRYcyKwgMvcOzJvbZGGfgSEiLpLCxBjGe11YngTkuzjijg1rHy1eW/sEB49GYopvRaRd0u21WlnoUuaC2ZHdnG1vXdDsdHm1sMZ6UZEXF/Xt3uHvnLlevPseFy5cwYmi12pTjIQe724xHQ9qdDt1el9Nnz3Hmykc4dfosRSbUdY3JMtbWVtne2mB3b5+zZ85Qa+2VROncaNyeQUaBuhojWjulUJ7RarcRYxhPJvSWlzl9cg3yDkZrHty/y0/8vX+AyTI++clXuXntDibv8uwLz9PprVBlLZAMazKscbyltRbRCiOWomhjshoxitEg5RyGJwr6NhA6Ff+7FyqtopUX2q26zYREQb/0bVp1GpzcKEacwF/Vjvl0TLHxymn3vlZn1XKCqaIYVI3zGLCSCGsQ3Rwt84y5+yInMYTOkp6QoMYlaRwcK2CapNl9a739NlhYfSFvU3fEu1KNCgYEr/H0m923mCGO0W5gceOJUtBkOgu58UKo9QfEidc2tOf7niyEQhPFmkb9Evol6i2IJlqXBYka3dr3I/P11ZGtYIpZaiL+MMeV1zJqk/jGMo1+xdWg8fYQmYmCJqpY1FncRSMCc3OPt1pLg+4nbWskPJqQdVjD4FkRiIf6QWakgxqQpkQk6xGqurkMXgCuD25/RD7Tf28b5Vw3hcwja0tg+tLhU7ERsUvog5/IgBzVz4eG+v0YglKiDpZ2PDKYMQ+FcWWNVbFBmRKZEetqDIJrJObBsur6nonSNlCIU+JZYFKHUwHqFXMWRa1Q1pkTYFWdlRvLuHKCbq3BSqbRyyb3q2a9B5Gx3vvEr5dq6pv6vWwEMlODCqU1nng7Df6jfgdzOmc1G3CXNawatgY559YqOjKmT8971cQFw0YGpUHwvfJBa6EWw0Sg9qrCYLlvGcUYqKyJeNDiGIuJdafPeOpb1oL1eMzgFBSKsFwI3U6bd1/7aV64fJHx0lnuj4RhZcgypbZZXFed+JUToW2sF+7xCgG3bqJCZYWJBKHFkGfOGyBYaFoZtMoR5cEDXnj2WbQuWT9xDOtP13g0odvtcuPDDxGB4aRk4+EGJleKYcnttz4ky3scW3mO0WDiiKK1DHZ2ePf1t1HjFJKmU7B+4hiXX/wIuWmhNlloEGXt9Gnee+cN1r7jHKYy3qqS8Pf0T8GWY8rBDllRUpWCFGuYYgUjhqqqWD9zjOWlYwwPDrh37RavfeWrZHnNr/+138tkv2Dlx7/B6jMrnFo/Q14ssbs5YLK+QqFhFzoaYsuSLIeiJbQ7bu/u7e1zlgV8u8B5FzoeRIO5LXLe3nvGC5nG06Wmwj14qAV8Xquz6NXqeIvahio1MvwBvzSamfIGiJ4CEBW0QTEQGEKd+QeJnoby7tl0mYaY1SCyQcKZFvUiLY11eUot4dvGp40Pm3T4UJv+N5l6JlNl0wilOTimzHixvxoNAjpVS+hXUmBPHXRtlJzu7BQ0ZicVm1HOy1TFj+9XajNMqhyuf6quIJHNm9eZco1uzRHRD39Ds87mxzo9z3O/DOW+BWOMDOFj6kpMI2knzumTbzcYa2JXw1eS/prZ+p5FaZ4h8V4+MMbxh6W3eDeVRvHcavomeR1q430Q6jXijKAQDzyceMJvvZfBjKsMYfQq3gPZezAPJ64DhbEYrbC1p69Z21mysaBZPPfBoBD5DNXkeRhOjPX7wP8LcljwCg1GreBcEwRWx5sEHOPwao1SixP4LZZa3U9RS13XSNaiylqMrMFWjs+Jg/aGL2Os84IQjV6wwXKPgFjvHeHHELzzAr9bW6gGJYPhiMwI7XabpaUO3XZBqzBYWzEcjrl/7w6TyZjxSHn4cJPBaMLa2gl63Q5GDL1OTh48y7Vmb7fP3du3ESxFsUpdG5ZX1vjoK6/S6y3FWUUtnXaL48eOsbmxycmTJ8B7HAieBvklT95igq0ryvEIbAVAnmXkRQFiMFnG6voJTKtgMhyyv3GPr3/xSyx1OnznL/3lbG3vUtuKZ585z/qJY5STkv3xLuPVU7RWnZGnVkWsRWxFZjIy0wYZofWYqhodOo0BnijoB82RI3zqXdWUwijtlhcqavVEUkCcoFB4IWVoYVwKUsBSrvSWlWEpbA8N+5PcW1adldGI08iVdSKueILpBJ2GIIbTZCVrdRIAmgJQYtiTkIom8hWENic0OoHb+PqDdTQdEOsFTBtdY8UTtWQFDmK/a9NKU2DSKKxbL/4alNo/Nx7pRau8MDXmDPUu4RKFnNBBNdMMQ8Dd4usTDeLatCu4NNpRnLt4JLZ+Pmv/TTKcOE8Jd4i9B0ejr07pkZB4QFg+giL2pY5zRlwLJ+QmIdl6Ls0bK33tTpDMxD10yEOpfL+DjT0geKuJJrivnfLFSjiozR3S8EqQpuIC77IevCAkhQr4OQtoN/zt0RdGNAnvEIXK2vfIjSD0QBp8UqPjvu3QH09/gOCFkAI1jFfA2Nhzr0Tx9WiDWEjsQ1AWpL2B36eZt+BngBFLbjwi9/EAZW08w+zqKb1mXMQJ3FUlWGvIszqO1dpwDhrur4FOBk8ET4yqEAfhVVxJQeMW0FqvNDRubSuLCwXy+3d/UjDRgtV2hRkoVjK2Rx2KU4YlmbDlNQxuL0+xrkQCS1By4NsE1GCN8W7wihqn/KpKt8aV9S6+eCWlF/TRpFgLu61utNeRPndvvsszly5w6vwVfuZ+j/2icBpzC3XtmQBRwEYX/FIM1oc8VCEmw4SWjFPKBMaqgiILSkOlzIVqeEB3uc3G3hbrvS4GQ9FqoQITO4EDZWtvlyIXRnt9KCs+9d2f4vu/97MM9g7YHoNdPsZ4a5OVlSWWVpZo1RM63R6t3jK3r90BrSkL4dLl5xAJrnohdMXS6nZZ7a2xv7vF+sopMjXxjEUGMnJSStnfw+iESTUhL5aweReTtxEquis5J9unmYzGbD+6zwdvvoUpKn7wl36OVr7Cmze30XbB6TOnaHVX2N7Z5yBboXvsIpA1mE03V0utjOVWC53U3Lm9xd3tLV78FAv4NkEQ9GvrBPHah6okha5zU1W35Qm8d41X1DeMDw67eR7Bhn/J3T/UH8vp9LdTv0fGPiiFkzEhwbSImVh3bdAm5niNhTAtJQrPUzSrWXa+WCWzZUJdU6Wm++r+71sJvETsCxGPhZFFJelUFdN/z/oyNHun4D20Dvd5vpW7Oc7Uj1hZ6P9sP+YM9bCPxUztU4JoenPIeV4OPTlcF0wZfGZ71xT6G2qPOWUD0zq7urNlfK2BX22M42nHSLMc014Kfgc3Wgplml/N8WJp9KvZ14axvtFecxnTngzvNZzZQG+tUNbBtV6iN22z3XCwo1W78XtS7E2fYs9uIniPSeO9RSWMt8GreaQhnuGt1HkX1rXQHzvBv5WDoabWjNFowtJSi06mZA0xntBWY4aDQtEGt/ew7cXZLGuveKhqomAqzQkIeEuCEsGvmldohPBnK0ImzuCCWtAKMYY6b3NQZwxrA6XjPg2KqI2e0UZkSukqED1pgmeGE/B9sK9XCoSwaIOlHIwpK8izFopS1SXjScV4UjAe5+zubLO5+QhVy3hSUVVw+dJVPvO5z9LudLG1pdvt0Wq3MSZDjEHrkjzP6XbaGMnY2dnFqnD2/AWMCaZZUFuDgdOnjrO/t83e7j7Lq2ve6OAQYpBHUKJRvC5HVJOBt+gLJmshkqPOdZGiVaDliJ1Hd7h17UPOnDnDledforO6yrsf3ERMzuUrlwBl69EjtuuS3lqGkczvqdr9s056MGJALeVkwGh/99AJC/BYQb9WR1ht0HRbT2y9O0wr89bzTCkVClXq2pWrrTCuoYXQMRbjgluYWGFgxQmmEOPgrGeia7fD4okKhDO4KwfUkmLF0rOgrUIlHhXHPhKZdSckJ+Y9bHKLt/4nlVfzIw/egis+Tp4kxFsSIVbFu0cHK6WQkzSBtRJd04M2U2kIdyQ3fxdTLUFunkI+GTZ5AriTStBaKMmPIdYdBKn0Bda7bLsx+FH6wkogPMEzItSdBHL1Y1JVL5QnxO8Edj9TYWw6PaWBwFu/zgaiu1eYjyiMiwtfMBBj/p3F3y2U4BklORyu4cacCGnTSogkQSvxQNPMUFBCGEJcv0TXpDBPToFhGgqJpqtc2r3ItGivfv9BcOtXPw9uHzYJdFzX2Edfn4Com20btPLi51TSfOP3kEO4FsRMEerQv9BO9AJRFwdm/D/xRKW0KZyitN4jwQb3WOch4gRcnMuWz3xhUR9TGSfQte/7XAOZ/97GPREXEwQqNOX88H1tiddke7ObFairjJ1Ji7XuHq3tmoqcvXGLiWYst8boQEGcpizgiGT2Ckq1FLeb+Q1c+YOVWcGKBSuMwxoFjbl6hY8fZ1i7wEjENggeGTXD/h6nltucvXqZr791k73eC1S28HWGvjiKWYiLaRO8EtYrWWqbXPPCXpPKMUFhsUtjncuhWKy19B/eY7zxgN5ym2JpicH2Lpv37lG3hcsXz7F7b5uHg106nZxWL2f1xDEePdjkr//4T9BbX4UxXHxhjROnVqhsRbubMd6csNPf54Xnn6d7ose9a9e5eOUqx0+edWPOgjbfTYoFTp46ydb+FqyewEjWwMMBCfpwCatUwz2MTFADnVaXrQl0swKZVHSLMXlmOdjY5u61a6yc6PLpF19mZfUEu3s1D3YOyNcyXnn5WcYbB3zwwQ146bNcKTqIZp4RVDKpKRiQyYThsMbWNaPhkEcPNlnAtw8CvxB/TnktecWz8aFlnqiJOiVlbT0TrCnULkSGBHoWyH6y1pMs+ITze1iEbwodKBHnh34FftA9DULBoY/Tn5FON942CHjDKY1IGYRG/HSTN5qev6YAMe/NbLnQHWmMMXJcU3zUbLWzbUzTfZl6crhXMvPzyTWnzgdhIypNDn0wr9bHv0kzoUeWPfz30e08DRz9/bzn8/o1+0yn12tue08zxumVfPIa6dyn7ludedIsdZhPJ+45aWwSibxroCG1F3KNdbyDCQaj5pZQT0c9ng9eqJE3bfCdQa4IPFUw8DlZQuJZlEY/JAqFPjBUBSRjWDlRvtctMHtj53FX1eQGuoVJYbINDjGFmwQW35VxhnxvUNNk1HLCdeN7F2Pr5RudOtNN3hCCMdDPh9YEb5BanWhe1cK4FCZqooYk8OlIaj9a7KNXRSgQ9qGNM248r5xlzlqeUVFNJmRFQSEdqrrP3u4+RizYMZNxn9u3brG7vc3a+jrChDwvUISbN29TVTWrq2tcvnyJVrtFlhmyLMfWNXmes7q2hgK7u/ucPnOOEydOEdxoo5pWIM8L1tdW2d/dYW19HWvdWsZ8IJrm1WCZjA+oJ30ybwzOshwxPlkVYGzN/tYD7nz4Pitrx7jywkfpLK8xGlfcuX2HleVl1teW2N14yMOtAXJmnbXOUswRIRq10k54txXl5IDdzXvU4zFHwWMFfWs1xm6oOiWCqrMGmnBcRCn9ghogzxSMswTaUinIaOfKWGFrZNgf5YwnjtEvxLm6uphag7XWxc6EujWKUPEgmXQM4xZJQpCSSdCDmsgUhyMTtZPqiJSdQjLOBUc9MgiW6EyDVwDejTvoogISCAxAODga4/FqgjZRohBBnLtAjNwIrR+y8yLwmy0S74Cd3EHJaAgkaFQyGC9YW4+HVVKcvyLxedB0m+BqGGczbQjrGQsnfISQiQQZyQIrYb40WI7TnKejrB7xuYEmuzigJmomFediD8mzIjyv0eh5IB6jhGR1CtEt38T5bIQPhDMZEMqUVV0aa+LdoiJ2T2StiPsk7ID0dpaBC4TI+mVLSHdqKZP7vH8ZPCPCukwTR89mSnPX+/kMjKBf92itl2TZNx4hWYLnSqPvcRasF5rFl09nPSjlxJ8J567v5il4YLj2nMt+CLMBjQRJ8AkAgyLAJiYbv6dqPxT8eofJCIqPUC6qasLhszDSaQHXHR/D3b2cj69ntHXIQFqMbcHAdljrTMiHllKyWJX7Ja5U1JyDExTUhrIBVyTCbD0jEAmGKsETwXnsaNScB6E/teSgXRgun7vMFz7/Je4+2GH1lc8xSVvA7XFPLEMISxW8arBJyMe5CkpjYA6leu25dZ4xKjmmHrDes5hnL5Jnymg4ZJxXTKo+9ciy2cr58N33eeniSc6dOc+b3/iQreGAltT89Be+wup6l8989ntYaa9yMBg4L5Bl4dr122TtDrYaUxXK8ctnGfUthiwmNgpWHadRV3qrK2xs3kdNjWjmtf1EJstav7u1ph7sMJwM6a1mVFbprJ2JHg55uc/+zn0e3btN0bI898wlequn6U+Eg0HFe9eukXUEqjEPN25x5+YNzp27jOgEkY732lBWsj6rxT55BoMS7j7YpDZjvvu7PskCvn2Q3PaDq6QmGkTwj3F003g3tYBHHKMNajXuu8CMhnOnni4F2h7+hkTjpy2usWfxeeD/Ii3Q9Dz0xP09TU9nWJGpv3WmQHo905dA96eqkshKNfvbGLSbvSbtapK2mVY0/j3d/8f9Nf/N4TKztu9pynf4i3lW/aAEifMx9e3R/XoczPtqnnh7+ImnVU/Zss6pdf53OudZouXz33te6oh389pqWvNnaVTahfNHJ1Nl5tU+Xcu8+sM6RmNJ5Cun6WbkCXDKPAk0T7yxSLz3ZnjvB+XYCX/GvQIwGLh1zrjcSDzX1OBLUpSKNAxIkmgtIQ+XoOQMS8Oosqwsd2lvV4xHhnGp1HVNr51hxCImc9+p46VCXxyfqzN9cvgphNmFhOPpK4nCd+T/G3guVdZQGpra8ZnqLPVSVYi1aJ1RVT7USdXJR9Y6HtZ1LtJq362psAHn5evbsxanbQURJTNCZi1qa3KdoOMDCh1j7JC9vfsM+7t0uy0mg12GgwF7u/tcvnKFC+fPc+3aTaz9kA8//JC3336bVqvDJz/1aY6fPEFVVywtLTk+8O4dyvGYLC8wmaHd6XD6zAqra+tYY7wgj7P74Aw168eO8cF771FNRmR5y8lbfhMFGdANvaYc7GDHA7IcTFZgsgwRg6XC1mMGu494dOcmnW6XC1efo7N6DFVhd2eDD959l/XVHu0i5/79TTb6yuXnT5K1l1AxbmNjsXVJrhOMjqnH++xs3gEtOXP+IkfBEwR9J+xbgqsqMY42JorDu6FKcgsXnDC6JKBZ7Va49i53tc9si6EQi2SKsZB5L4HauEYcYxzFBBJKMI1NE/en38B+Z5G52Hl/uEygcn6TT4loGthwT8y9AiAdhmTxDNm9nWU5CMBhPjT2KQhGCYl54RuSxdm3EIStnEYCPFIMTkL+Sf9lSbHW0vzPdybzFlGR4NborZ7BjccjzBAmYPFKADQmzIt7ICAPL1gEJUlKYwjirexR0RHXzdfpPwzJBm1E2EzNQfjGJdbzmlma5CTFGjXnNdblF8DGehvkKGwN/3edsKCz2sW5FYewfb9VXSiK4F3TgzuSn/20ChrXKlatjrCE2KOEYr3yQmZIu7pnGhGH/yYI20GT3JzdYL3HRqVRTCQXPANoMME4xBRdy1wTkayFhHuzbo+KsxiHDVhbHzAQFRUaz34cSyIzTjFha7f23sUgxMeGVqLvQtAg+/MVTko872myEmOnOI+mRn9jWYXtYQs5oax3SrYmQm0zdsZtji9N6GxPKLVohDIEZiKcNj8/3iujbmj0U6iw2zdowClNyxfkOKWJeje+yKyEUAFxeDYTy8lV4doHH5DVQ37Zd32G10dtb4n3+0dDhl3X19AfUUtlJc5Vk81Kgwg7MITPuDkeDzZ4660vopM9nr14gZ27tzh5YoUf+O7P8fYb7/Hu9Zt89KOX+NynX6XXXqKQNj/xpS/RXumxsrzOP/b9v5Zf8o/9asqDHXKpaBVC1e+z9egR559/gWNLPWxtefuNd+H0RQqTURgTHCncnAd83WkjtTDY22Z9/QzBoc4pzSTiWalryoMNoKbTW+Jgf0j3+LJbg2qIHWxycP8B5WiXZ196jrVTVynrjHK4zze+9jp3tx7QL0fcu32PpdLy6qtXWDm+hKFyHlmZ23uZHWF1xKNHW9y9dZfBZMLLr77grAAL+LaB9S77IW9DxILBdV9A/K0bMezOev7Au2RNCflGMDZYm8K/hnXQ1QoBF2hTjAr4kcZzif2Y+vxQfYdh2kqf8Lo2cHQUHgKlaeDtiG9jPUlQ0WaflMZzTeWbfZuV9NOHjTE38Mv8IZFKzBbQmTKzfZjCWg2cPFOmsQSzXddUatpt+7HrMa+vs73Ux5YMovT0/58Gnq7U4W/mzWWz9XmtPGmMMLsGh8sd/df0mJ80rsAzaeOvmS8jjU/GiyMh8kzuT29Lj/si8ArSKJ+8POePelZeODwujyM0YBFtMJyJ4w5GkZEt2OyXrK236bQG7I9d3rLxpKbba5PLyJvmNRrAmGk38dYytSMd6ySR345+vZL47qiI9N2M3Fc4zBK8EBPf6HJ+CUiONW1q9UF/EnhOr4QN9Fk04rTAl4dhxASnwRNAUtiOtRVqx2R6wGTrBnbnGtKuaBnLiXNn6fU63Lt7l3I04bOf/RyXrlwBlM2tXdqdFv3hiE63x+c+91184hOvUrQKalvTKgr2dvfY39vl2LFjmCxjPB6zt7fH0rFzZFkK1dNg2feL3el2abXabG9vc/LUaZIHtfj592MuJ4z3N7HVBIo2Js8xWe7lHmXY32Xz/m0yUc5dukJ3dR0kZ9w/4LWvfYPNzS3OnT7O7XubDEYlF1/6DtZOnvXzXztvBizGTsiqA3T4gN3du2RFxqlzz7Oydnz+meBJMfrWL17YBNoUMdLmQpjSsCdjmGIyb21S6GRgW86loaprrLoEFdESK5BLuALDVeFcd3UKWQeBuMmWB6IXkH8uyZoaX3qKp40YIwTCNXoNOxtOODHR8jkloKE+xlbjJg4HMGjNaj9LweXb7wumkb8Tqp19K/RJY7kgrAfBLQiTkCzlfgje/T24frtvmknwYsITwR9GbSyfjeERrs/q5yS1G7TBqV0/Z4q/5k7Ckru19AqD5IGBt/qHhXArmkO0iGY03CLFX8mnLmFgk/wISYgPz5vXIwZk5nMsOsWDOAQYEySJDxfR4NbVxKZJRDUSNw4hd0DwIG6CbWBOIw0XqjBf0hB71e2d4KafrqYhCjVuVSCGMaBe2WLSAEN/4tdecRPmXdOax3MgPteD38euTYn7IM6CJIIS949H5JXXrIWbDkLYQVDOEHaLgojrr5WgOMFZ+70l32mRD899YLitKgbTCL8J1/8FRjh512RTFDFlowXD/rhAszbLWZ+M45QI++MW53o1XVOxb5v7a5ogRqax4T5r/SaIbuf+43RiPH4Sd81oK6tpG0tdCwNrIk7QsMbBIi+WerjJeO8hH3v149zcabFnl7FiokdMvGVB1Y857MdmpoYG7mkwNkkkkYgHcpROvc3KSofNnT7aqvmnfvjX0G0XbGztcu3WLc6cP8anPvUJlrtLPHqww3vvX6cW5WOvfASzfIwf+HW/kaVsmXv7D8hzoVUY9rb2GZYVy8srHGxv0d95xLiuuHj+AnlmyDMXA1LXXjUXvRTg/JXLvPfh26ysHUekICRgiypSAZ0M0OoAsTVSV1T5KrW0yVQo9/cZPHxAVe7zzLOXWD97lUlVcLC/y9e//DV+/Ge+wqODA9RWbD/a4PmXn+PqpWfYLjOMKHnmuRQrDHf6TPSAejzmzNkznLl4mk7RpUlGFvCPHmyDQQz8RuBJmiAEJpfIKBtPq0V86JF6hbI3lESGWhJdaUTCpRc0zrh6zCyp3QBT4pcm3qEJcwWL0Mwhq537LZKZhGGm+IBYsvFHpJ06Xaj5dVPA0qmvGt83fxdmSjXLNGjWoS9nRzX7fD7I1E+Nfxyq1Q9J5vRvvvA9vQJNS+7jetbA8HPfCQFXPXl8niOJ3qEzlc3ZJNNfznsW6pK55Z80xulyMqcPaU/Mqau5BvPG0+yC54Gk8ffUWs9Z4+mdORtKk2hxqC/Q8UjTSaqQ9LFOjbrZmUAxI0QJlshbafxSGvX6eZniLy01GTuDkupYi3aRATWlzRhOalZWM4pcoE48uWqa32l+bpoPdbxEYx6aeCv2pzmSJl8deEBF1V+pHoycHk8izusZk7ub0Uzm51Z9arYGf53Y5jSvfp5ciIHiwuBdEnYM5LnSaWX02i0G9x6xceMbVLt3eea7Ps3Lr36C1dUVNh7c48MPPuS5557n6rPPYYFB/4CdnV06nTbHjx/nwqUrfPd3fzfLy8uMJiPU8/jD4X06nQ6r66uoWobDPsPRkBPdriMKKokehHH7wa+tr7O1ucGpU6f8PHkhX/3sKZSTPuP+DmpLlA4mK8iKlvMoqSv2Nh9ST4acPXuWpWOnKFodJqMhX/niF/niF77McGK592gXa5VXP/0ZLj//MhQtcpyQL7hrfuvxHuPtm9TlDqurS6ydOk3RXfH5mObDE2P0UVKMPrhNgIJPkuQsel4A8VvG+hh7QaixPqO2S46VG3fX5QRhVIGq8fdn+3hxcfH8IZNjFmslWnPUU3fBUWhBfeKtxJiHjwShkqYV21m88XHhWbDKkVzA0YaAFlv3ZRoI3jGlCZkHJju4R6f3XiyOltakLXObxPfOELVIQRBwmeiVOmjYxEbhJjDF0e3cY9dAZkKsjcT+uhaN35h1wzrtupZOZmCWHGpqJp7TmMsgJRAjIVXx6oWGy3dTIWLC+EN/PNMSbhIII3MuxaG/jYXx/bIkLW3AYc1Ecpmk9XMH1u2Z6Bsi6WV0Ew/9lTQPIcdAQpa+n34eLOLnJzE3TaZOGv8iMRCZTo7X6LeL9PGCmFHibRLiZiIohGwkHs11T33UJjUIPZtarLDuTmgMYRKKPxdxtl1bWQgnUfe3wSZBWEkWKBqENFJWV0hx98Wne6Yb6+fPn9E4S3F04SxYSUqSWeVXtMRpIKxhHlx9o6rN3thwatWSD2pKabE9yumeyOjmE2QSbtnQiAuc4iKcnqSAS4wZjb4e5mrCGLq5pVNYjFhGYigqZRzcTsK8Sdg5NePBNq984lXu3n3Ia7czuNyKHkPhvKIh5thZJlH1xMBnD8ZfLdqYx7Tl3fq0RFlp1WTjAX/tL/4Z3n/vixw7eYwf/GU/wspqj73NXd597U12Njb5lf/E93NsdZ2drW36/T5ZVXPp0iXOnTvHXi1ghHoyBK3ptFv0ei22xzUnzp2jrio0t3SPrVA+2sRqRitz1yMqQbGYQFQpuh1Wu45Q94q8sU+sy8ugStnfZjQeUJuaLCuQ5ZNYdXeuSFlzsLHFuedPcOz8VcZjpb+/yYdvvcfnf+KnqYdjRoMxVsZcuXyGS+fOkS0tIeUyRdEh8/o0bI01JVpbTp09i9SWbqcNVhj0D1jAtw/CzRwOLzVd7BsnbxrZOnoVPKSkIeQbpxQ3KhjjE/2qe++9SRHjlMQp5G3mhM9IIAn/Ck2sjkleeaHgNKY4CjzzrU1hZlbsaTyewadTD2bn5bH1PenZEX1geuTNMetMqaNnIPU+/HW4tQbdm9cXOfynPubvx3z6c4JEDx+/3s02dbYD89at6Z7RnAKd/mzGjeObGNucHs/rV4MHa5aRZvmpwR1+Hmgqnv+M3lpz1nD2WXwjTzhPkTdtrsns6ky9nIJUKtDquZMRKew0jkjPQgiaIhyMYFRnFO0WWTZiosK4Ukzmk/SNa3cvfZwbaewFz/MEXohp/it+Evov02sSrOjB0hxqsRqMnYCa6PGbqaUQS1kN0bpA8g5I4dfEJWV29jDfpxCH7L1MwwwGL6xwfaH12oBWriz1MrrtjKWeoaUlP/P5v82Dd77I+nKbM+cucOzkaYwqm5tblJOaq89dxWTCeDimPxhw0O9z6dIlOt0lzp67xPrxY1SVSx5oxHmTDoZ9ur0OeV5Q1RZjDFmWsba2TpZl8X5Ca8QbFYiKi/X1Ne7fvkk5GVN0l3Gip0uE5/ipmmq4Rzk6ABSTF+StThT0J8MDDna3OL66xrHTFyh6q1STMa9/6Wf46hc+T1WVlLWl7A/55He8yosvf4xaDPVoyNK6xYjPRFaNGO4/JK9HHDt5kqVjx5GihVqYlMMjDsBTxOjjres2uMrFCfCMvvorkFCCZi7G9OLuiw7xuZlnm7MMf02FYC2Iemd5hQles0IQqfzeFqIVPVixglB/CNf5vSoeebQ8NnLXSYd4HfdxjbeGe2E73l0eGAqRpLXCu6aEo9Fk9EOb/kEIGwjKgRA7n2mwqLoGQuI715/k0h9GHuJBjI+7iX4H/sBH0iqhb05gda7pDbdqINwIENC+EGKKiRpg9RMX5t5oEnwCRg3zOp3JNPQp4cuGnT9ZRiT4Avh+NQRWTU/d3w1XyeAWbtT1NxMlJBbPGnOV3N39GP2+DUqi4AlQx+/C4iW/hcYWcgiQRGjSzQ4S56XptXAo9jLOtNsv1s+BT+nhr8yTZmEPPu2gBAXIYXqeLrRzH2YaTmKy84dvgmIgZMDIkIjIQ+KVeOZC/8TFYIWTmNRcxH3YDEgNyQqn6KWEbSrRTf+wnUfTMoQeq+I0X45ghDPmkiA2hG2/hyyQawh7CDHcoT5hYg17kxYnO306pmZkYWeYI3nBajFBJo3ctn78iXg2LPz4veippxAUPkwR2Mhbizv3pQoFqT53Ro3fepECo8Cx9VUebXzAhx+8z7mTH2cTZeQLhLwJQEyC6fCNIzjWBg8Lt6IhpKYwbr8UmbKU1/QKWGlbei1FRpYT3S5rr36cs2dXeeb0CaqypCorXnj+Kp2VLusr6/T3h2AtJ08f5+yVi5y2lkEt7Bz0EYH9vS2KToFk0Os4V7lKYbnbQqoODz64TzkpOX/hInkuiNpGf90ER3xgctp5l/Fgj85a11sLiB5mYmvGextQT6ioKCsQemRkYC3l6IDj509w6twFBv2Sfn+La+98wOtvvMUv/yUfZ/vmAX/y7/4k5144zrNXL9NbWmN/t2K02qObF2TiQr6sVtSmpmgVrK0uoWWNLZ01YHdvnwV8+yDcW6+eBkTiDzTZdxBCqFlAHCFkTjTE5mvMaRNi9TPj+RsJ4WSJpgUvLomHPNEobfQg/Zxl+iX9FGb6nb6JpQL60uYfj4NQ71GS10w3ZtpvFjpEwaYQeniU/pjt2qEm5tV5SKKdD0eVanCGM8/nfzFb8qhST5pmeYoyoRfNKRMav8xU0Nwv84VZDnU47pcZ79Sj5lUa/38SRD6g+Uzm7ZSnrvKJZZv9C8L/vOLzuKvmr9OelhL5hsQpJ1rexBfA1Lpog6+ZXkuJfwShvdmPJAtorG96LgUwDCbKaALtdosiHzOqDGVdY0TpFC7XTvAKjVvG0z7H7jfjw6d9IufNUPDoNYJPvj29dxT1SX09V2Wc4dXUFZmWZFpSVhNaeUaW5RhxYXe5OkMv1qIajHyB92uMWwP/nHZ7K1OW23ByNWN1uUVeGIrcMNg8QAfbnFxf5fkXnufs+YuOc60n2Nry8ssf49Sps0zKkqKldLtd1o8do6qEh482kewBz7/0EmVVUZYl7Xabylomk9LfaZ+5pHxFQZYXrK4fwxjjFA91MuiA82iv65pWq83y6irbm5ucubgE4HM3uY1grWU02KMqx2S5QfI2ebuHmAK1EwYHe7RabdZOnyFrL1MO+tx6+3Xe+uqX+NxnPsHdzQPu/t2fZv3YcT7yysdotTts7uxQrOS0TMiqpagd02lnrKyfpbfcI2+3KKuS0WCfg71trr48fw88VtDHurhkEOcuR9D8OO1MuHYhxsPRjO921NFZsp1gVmQpWYZFyAU6mVJJuss2sPVWU6KcnOCG6phAEUtmUvyxUyg4TVFFcNl3ZTNjKYxFjDCyEpPxVNZZF6MjujhrZTZFoNVb+VOkfhifImSq0cOg9gxqkC1MotKR7YYgVBHvRK8ltemceHzcrJ+JLHUmIRxpxPyT3PhFgndCEkqixZVGeXECc7LaBgEn5kMH9eEJU0yGeDxnGy7NYQaDAiK5BTtBOHkNhLUljs+1E+8kjf0M6+xbVb8OIk6T1hhLwqFpkoy6+8nV919UscYJ1W78DaE0+jO6fyFMpClAhuqt4BVO3tPB9zt6X2iYhxgZ5tc8zU9TkZCYRqJnDOLnSpN3QLAuh70jXtnQ/J4w1lA2Lpn7I/ezH/ZpUxAMbvxhHzgLa/BK0ThnjllOhCXEVYWYt6Dsc5skeEb4Loa/o1U+rME0eYqKroa5PxKOYHNvnEHjPYsyf1ZdEyEbbcPXRjMeHhRcOQldGbMjPQZVi4MqY7U9Iu9bbEhz6dchjD38a545EY1nOPQvJZ50ENQt1roznWXOjT8zLlFnppZMwvcOx6wWE/J6xK3r13jxuUsM22fZsYY2XuGKCydpZTW93GJUGFt3jWGpxLCGsPQA7VzpFpZ2ZukVluW2slQ4fJyLUtmST3/nS7Q7NVeunGKtu4TWlt7qMlsH+5x59iL1pEKo6XTb7O73uXH/HuO64t7d+3TW1mkbw2A8YDAZstQrGPYHbO7u8uKnP8OHr3+VIptQtA0nzpxmeWkl4qeUVSExMw4PKOunT/L2m19j5VMnEOsUwOoZLalLqIfUtkQ6OXm7S75yzO1otRQt4dzZK9gKdu/f5O7N69x58ICPv3qRl66+wD+8/x6trM2nPvMqZ45dACnYGWzTvnAKI0Va6GoI9Zj1tQ5CxWgyYnt7l839bQa7fb6DBXy7ICi1Ajcfz1r4n6chAQc6HOXxkgHjhXiREKefsvRnCd0QcFqgR6JEr6WErSS2mbrVwE2HuO6EqAPNPYoxT/34pmbnm/7CgTy5SLOJOcWnzu+RH/1s+ze/raNbbHI6j3s2D5LA1OzxrLfWvNHMq/lwudlSekTJp+vnUe8e12JSkc8+f/zf7tm8/n8T++ep2nj8s9Rik08/aofN8BaeN0hc+bwWw/xEBnd6lJ7HizxWYhdijYkvVvDer4GfMJlgNKOshMGoYqmXuTCxWigrV1e7MBgqoO1qamr9EsKLrR2as6OWJQr7Sh7kJ0mYKORfUwFrnEFhSSpadoxIRd4ydLod2u2cwn+Xiw+pk8ABprEGBiSw2Op5/SyDPINuDseXDSeWDZ22IhkYo1TG8qnv+DjHe69y5uwZut0OdTVmPOiTGXj22avxVidV6PcH3L17n3JSs7G1Q1a0CT7c7lrhzPfBkOctJ7vWNZUFNTkr68e94lhTZ6OSwv80hrPnL3Dzxg3WRiOyVse/9fuwnjDa36Gqa6TokLV75O0eimEyqVArnLt4leXlLjoecPft17j25ut89KPP8+pnP8PkS28iJuMTn/gE5y5cpKwqFGV1ZZnCgNUKtRWZVLSXe3S6GVJk1FaZjCfcu3ubjYf3+ez3zVl3nui631j85i6KMfSzKL5hgVUvLKE4l2N3F3HtpT4pLS0DS213tdmwNPRLQ8iYXokTRAvfRC5Kqc5i1cqUorDuOi/fj1qhKl3fYiI6vEAsxoUMiPXCkNA2Sr8KzrIue3tNcu0OcecZeEu6Z+Q16c+qwDBoUoKEGQnWZvECc7wzPohEXjgI8ePg7oFvZkgPMxgOc1CaKELu44NtY+6To7IQYhSt10ymESQBs/RtJc8IfzRCWEaoL97P5gUglUZiFPUI1GI05DQIWT9n/BMkJXEUdRZlDUjBM2hhtIFRC1MWx+7rrTXlQzD4TP0NbJzhQhNAvCdFEvJF0/WHSYh2DYivR8LcNoIR3RqED5ILtZseoZagJJB4o0EiFB71+waCPBysrw7puudhX0ljSCEHgEBD0I2rTbASE977DWb9vNd+TmZDBoKnRNg9oY5MSJnbmU4+6EITggdJEvwljCssZoPaRHKk6YwFIT+Fvk87YwphEyQPhZB3wymhNM3l1OlLVykmx354NCgwBazmfR5M1qg141E/Y71nybcqJtKKzIBpaPTx8xctA2GfBkIWPSLCSrtuh/2ei9LKLLmxWAstUdq5S/jWypRc3C4oMsvx1oC969d54dmrkHe5vpWRr+R08gpj3fWjRW7ptiztXKmtwZTKsDKUlROGg3CjuOzzrSx4ZbkzkWdKO3cKB2zNwzvvkPcsKysrnDq+RmZgPCl59/ot3njvXb73ez5LkTt68PDRBj/z1Xf5wutvsL5+kv3+gI9evEguBqsluQjtomBvYxPbLlhbP87x0+usn1yi7o95/2e+znK3R4G46wnjBlHPx3hMpFD0Oqz2VjjY22Z1+UQ8g6gi1ZhqtEd/MubU6WOMSmE16/oka8rSiRUwY3Zv3uTujQ+5u/mQF549x8XLF6mkQ9nqcvricT732VfJTZvd3T0moqwUHZezw3WDzNSsHu/QKWomgwm7u/scDEc8uLnNykrBAr6NoA2axDR9CIJ18+yFh0EkiGdSfB4T8XhOIDexNqdI16SMdwaNpMSLopKmv1XTbR+2gffcXp7mumXqF4l1PQ6agsS3BOYJAk8o/6Q+HOYGmXqi8wofenF0fT9XmBXxji43/XNeD552+qbH0Fznxn5rUL0Q8xvLCPMm9DA0NEtHFZtVUz01NPiq2REl6v/0XX1iM7PfH72xIhzuWSqqswWPeheeKoffaBrx7PN59cSykYUI+MP9v9KM/qji/FpGuwWMLVWl1HXFSjcjYwTaRSVPOaHUGTlnuzEPH04NsrE+mbj8ZYVxt54Z44ywyXPUer5cyEzNSl3SsxWt2mLFkmdCkWW0wcXVq0YDFEK4+W16TqTxlyiZqWlnNd2sQiqlHBsyU5A7924OdjaxVUlmOrTbBWiNnZQ8uH2Dh3dvsbqyFHn3yWTM+++/x82bt1hbdzxCu+Pc861VbJ6DQv9gn/F4zMrKElVVUdc1dV0jJmdleTmtmDGIu5sxyv3OgKqsrK5RtLvs7u1z4mQ7JkMGxU5GjAd7iCrGFLQ7S7TaXUyWUyl0llZYKiw63uP6G1/l7vUPeeaFl7j6sovD390/4OTJE7z6iVcoWi129/bJiw6r6+sUeUZlK5SaLINW3sHkCraif7DPjZs36R9ss7x6jKPg8Rb9uIk9k+2t5KqakmfgBeCodXITVAcC5w+NxQkvCExwwmWRO4tWhpBlSievQWFkDcNSaBsocpetPxPoqlBbQYyiRik8Lz7xOQTEOAYxuA3kAmMrjFSYNDJyiwqFcfeC10oUFLLGoXTZ58Unc9M0PsGNn6TUqEnWvuDeF92qvbAVGALrEXIQXYKQH9yEM00WYuPrTi2ZmEdA4xPHwhjPYGQe9Yb4XOPNGzHjJoLRRn5xwbsBJUdwJ7CGtQ64IhzbEPPoRT6VaOEOAqvre8gUb+K3QQQKKcOart5WkhCe3Mn9/vOClyjUxjFVmYSEcgmpil8rJ5gF75DG/EkQtgM76LSWwWsj8xyjs8wmt+cYTh2JQJSjG54KTeVOQqw2aRFIoIQcEcH65LsXvQQS3Q6ktClMzlQpoW9K0CDHo0cIG/BWbgnuX00ilP6pEGP2o8U+1CKkjqrrfFAgNFF70OqGs9/sd9gzScGQxurmIxyklIww+bc4p33nsh68MdI+IbYU3K/cGxemoQzKNgcTYa09wExc3ov7gw7n1w7oMGFA11vX/SI0l+sQOW8wjQrEM5Noq4i7brTILb1W5ZR6GbTalnamLjZYQMXFsuVGycs+3bVlWp02X/r623SuPsN6T+kUFYVYrHqfGPH5BNSduhBe1PZC/KRy61dk7qy3M8tSyxHYInMxyiIgdcXOg3uQWTodw1qvYDwpuXvnHvfeu4Y9GNJtFUwmNftbe+w93OHdL7/N1vYO68dOUk4q8jxHywllOcHaml4r58M7D2gtr7K/scHuowcMDzLub+1x4pmrrCyvoBOBuqby/Y6uiGE+vcfYiVOn2D3YZWXlOIYsLoudDKnHfeq6Ji8yWitrSNZ2+EgthR0w2HzInesfsj/u88pLL3Dm/HnIe+xsT7h26zbHLh6n08442NnjxrU7ZM+9TNE95hdPXXx+OaC3XFANa+7d3+Gtt97EdiyvvPwCZ9ZPsoBvJzTZ+fA3kU+ZxgVET5sYVhf+9grZYM23KukKXZwS0Wq4ESScMX/eNW7PQAHDVdLR8h9Qvm3wT4o0ZbFpF+1Gp2dljIh1/JY8LJjMQEC9cwomDDbvtyMqS73yT2TmydO106ztSd+7sofb/ObgkPgTnx/tfn/UNz+bctN79XBJnelDorWphdn9/mSYX7pp9X3aMR4Fhy3IcsTvTwSZUz7ym0RWY6q8ThWdu6eOOFpTfzcND7N9mv5FD708fGYOj9qNIdURQoOdHARKxv6opLKGXicn69fUFg4GFUvLHbr5iNG4kWUnDuTxJzYhP/+/wOMFb08RjBFy42Sgwii5sV7g98YzAYulZSqW6gntcozaEbauMJmhlRuWPfbLUTCW2jh5r64NVQ1q1Yd7q8uHIpZcascPZY7/aWXQzsTl6/HG48lkxP7ONqpK3m6xvNxDqBkO+ty4/iG9bod2K2cyOkARBqMRt2/d5mAwoNXp0h8MCa70qu7KPmPg9u3btFotjh07zoMHDyjrivGkJG93aHeWHM+u1l+vlzw5Ecgyz9kZ4fjx42xubHLi2DGyLHdt1RXV+IB64gIsMRmtzhJZ0QYFIy4XQDnY5+EHb7P98CEvfexVzly+gmm12N7a5tb1m5w6cZzl5R79gz1u3rzJhasvkfsYf5ewUDDSAoS6HrF5/w43b96gu7TG5Wdfobe8dOS2eKygH+83jvHhjuiZlL2tsbfc/dtWo812mrCFLaqQWUPbuIR8at0gClG6bWdlmtSWSS4URkAslfVil+APjBPuR1acC35I2izTLnhWveVPcXdLk1CpW09XV9Zk2v1vRlIyq8wLnSHbfzBwN20LaWNMWx/R5E4dBMcgnIb4eYe90nUVwcLtFkiisKixZq9o0CQQB/drfzNlFI0c49IkIMmyHEfsfw9W+hon7Bc6474O0eMiWo2jUEV0k5/eF54ZCnHF6nMzCFHgDyQueAKkGU11NRUhNQ05tYFjjXrFxkx/lTBPoaUmGxLS7WmyEJN07BrrmRkUXuGhTQt1ioMiCLNxiwRXrpCQMJF28Zs37sIphk7j3EDISxDqaFr9NSolgmAcwl3i+jRWJsn5SREQdPNJUxlPLSrqlSfGhxj4WYxrHty2bBqc/z6FZWj8O8ytK6agpmG3b3we3WEbdgMvFLrxh9GnGwOcwivRRvH1lDZjo19wcqUk268oNWN3VMBxy/HOgO3xWuzYLIMgJM8XCMkpU+uzzKMBWsaFGLWytKCZKHmuFLnTquPPfwZkxtJGWFpb4+03vsZSy3B8WdBu7QiW96Kw/sYCVWVUuuSnIspyYVlu13RzJVel13JuehOFVi4Y4xLn5MYpAQSoqxIjFZ1em1PHlygMDPsj1tbWufrSVU6PR3SzNpPRgNXVHiJnOHX2JLf6e4hVCn9P7H7/gP5wyLHjPWxVst8/4PJHP86Hb77FB/fvs7zaYXJwwPFLzxI8ioL7dNhmce+L2xOCobeyyubWQ0xmyWzA4Bad7DMeDULAIVn7BEZ8kFc5pNx/xN6D+wzHB1x5/grPXH2JcqLs94fcvHmf+wfbrKx22L77gJ3bW3zjvVu8dOEqVvxVoQqZHdLtWna3t7l1+xZlOeHUiWOcvXiOlbUuWevxevIFfOthlv2OOscZLt80/tawv2xKPKvelT8z/tz6d8YjIdWgHPdUPvLbSbC33opfq/O0serzkGjwdko4TkP4WYjpjyFubhBBaRfHMI+XF6YRkwbMMz0nzXk5VEVz4vxHUxSzgf/Ci6Dg1kaZw6JNs0+JJh1R5Ojv534zv555dRwuOS9++XGu781aZM6zx5VL/NTUpjni68N9mLaO4+neEzo7pwtzxjfDV6a+yuFn0x89trlDdc0pN3/1jqjLD7zJ26UQzkMNpxbCc5lpsVlRPMNM/X2op1PDlqkfxPN7uO+BN0jHNK29BroWumgMw4kyGNd02zmtrGJQQn84Zn2tSzdXdkYhK2gYn9LstDTXWWZ+NgcRQgfEKfgz/y/PHA/SMrhQaJPmGoGOsXQZIzqGaoxqRdEu6OTKqpSIKrnUiNZUtVLajMpkVEZ8fjeLiON1OrnSzWtaOT5Hm2Akc56rWeauRRVDXZVQj1ld6XHi+Brddo5oxf7eDsYYXvzIR1laWWE4HGCtZTgasbe/j6rFmAxbV7RaBXVdUdcVBpiUE2pree6558AY3v/gA8pqghXD+csv0up0/NWtlgwfqx/cEkg3K6m1rK+t8uDePUbDISury551qanHA+qqRMRg8jZ5ZwljMmprqeuKqr/Pzt1rHGxtcvX5Fzn3zFVMbhj2+7zzxjvcuXWH81euUpcl9x/c5eHDTc4/m7nWxSkr1Bu0y6rkzp0b3L9znVNnznD63BWKdocs/1lm3fehIxg1SYCThIqCVlsUd2WWp5jO9RVHWXGLquIIYm6UqlYmtbO8WMm8cOG1SkbpZUq3ILoxRYHAE+BaBS1NvHbNilABde3ayTInbBixoCZm6w13Rof4jnCua0mW2SBIRBLaPOBCTOoWhI0gSITMvMY7Y1c4C1/CfY0Y4lRlEIUc0y1+tEqMy0l33advLOLu5UZwF1GHw+kVMQSlgBMPa9WUJE1wV3V5opIs/eojlN1/kSHywn6IZW9epRbqC2NDdcoi63kYv3YNC7v4kAU/38lrcpaTcb82mbgYXuDL1GEeAhLXppU92HfDnCQCEAMtYkwO0Hif0L76PohTBHiuMdHHMGcaqwpJVFK3G4Jg6mrsZ1C6hPlpggsdSWLsPCVEIioNTWSjrlDW5bxI3yeVRiAhSRkW+kej1uit0SAGSU3i36mP7Zfg8p/qN80D4DdHCD0J/Y71yMz5S6fTz2jzKf58eg8ciLkhQp8ExVrDXtnjePsRy1nJ2HYYjFrUUnC8Peba2OMWiLkAhLQ2OtVi086UlHAuuZeQZy6OPvPrXakLF8oz50qfiXo3Yo0u/sYIRUt4cPMOx0+scfLUBTYkp93yq6J+37p7DZlUQGFpZxVlbVjuKWstS5Y5Ip6JOC27J7jJi8ettAjU5RDVmvW1Zc4cW0FE6S71uH/rDm98+AHf8z3fTaaWTq/FaDThnbc+5Bvvv0/eLTh16hRSbbC2ssrdW7eRzLC+3GOwtc3G7j6vnDjNT177a2xtP6C/36KejPnsmQvUtcVgnMeDMdSiKDVY9SFHApIBQrHcISthcLDD+sopV4aacrSDao0Yg9JBWqt+aBb62+w8uMHB/jYXnj3P1Ve+g3qcM6l2uH93g6+/9R47wwPaI7hz7SZ3rt3jpecvcXk9x9qS2rQxVinqEbaesPVgm/FgwIlzp7h86QIt6bK3s83IjlnAtw+aiU4TrvQKYqZPZELpmnj/cJ79ucuM4wcy4xB2SFSV6L8mvO7pQEgGWHshv8KFE1b+X23F4RDPpzg+SePVgOlazeB5FLyCEqGLUUMzpLAZC5zoxvS7WHb60/R85uFchYDM+Xbes/CiSVePKDdr9PlHBUfVfdRznSmjc9/KY8rM1kKUO2frnt+6zLTUWLmjFnFOH5oGlnkgR82/pgDAQ+/nS9ax0NOu4xPLNeuaCZV8XG1H19s8NI258osi6VXj78ZYG7xd/Gx2TWd4vCZTln49PH8Bh1mEcWU4GNWcWMnptAzDSjkY1lirrPZyHhxU1MESjzrhOTaexiTzJmPmYeD1QuLR3Lg4+SJzvztrvrjr5bxlshAlryZgRyBKu7dC3l1mUghdLEZrCipELbUolSqlKnXmDajGZdTvFEInd6HaJgsGMi+Lic+I5dsUSnIdc2y1y9pqDyNKOR6x+eghraJgeWUZi1JXJVVVcevWbe7df0RWtLl05TLLK6ucPHkKay11VWMFhsM+o+GQdqfDa6+/zlvvvMva2gpkLV755ElPEwTx0rREZCqEmwmMOGpQFDm9pR79/gGrq8uEC+DLyZC6KrFqyNs92u0uiEFtRTkacrD1gOHeNqfPneXs5SuYvKAcDbh94zavf+MdBv0xo/6Qa+9fY/fggO7yMiZvRWN1yL9mqwmP7tzk0YN7XLxylZOnz6LkzjBd14ePgofHCvrO5YIYq+DcZb3bpydgkLIPhshua3EbBsfQOvdU31HrBPK8gqJSKlvHTLgI3q3UCx6WGPcWk0aoY+JzU9PNDWWdUVlhXMOoNJQ1tHPIjfUuepZahYl1B2tUeYEoCtHe+mmUAm8xE3FJCDVpWJUgdAWiJTHOOwgp0jzoIpFBEBxjEYTbIK6F/+PY3CgURYt5KK1JQJtSSHgE4Cy5QURPYp/zSHC3FCTGiMgYuWEEbKXey16j1T4I5y5DuHdtD+zUFPb0FpRgtUAOIUET58qXl5D/3YGVZIVJbuoh/0Hodxin7y8SregRJfu5aAq5QiB0PjwhKqLCnIQ5S8Jh7Q93HEL0//Rte74suLRP2VWEZo8S0Qj02++9JvENSglmOTg0JpZUIbkuT+N6kru8by0gKoVmWEYSvpNLfrqiMSktQntGU5vBJT7Eybu9HoRr/01YHT+/QQCOxHOGWXfKFo87/CsTlAB+8preFEEz7sLKwlxLEhB9L6Z5NL9eIuyMu6ycKFjNhuzUq4xti/1Jm+O9CZ39ioG24ndN2hnGEPejNMbZaCpcBRmY9dzUGCwd4zLeF95lrTCKiCVY9kIm8OHOI2w94tLly3x4d5vjL3zahan4fevmzGmbCwO9Fv7ed8hzr8wRLzBrTa2Qxc0ihJSBzoPHZahfWe5y8vgq7bxgXI545533+PLPfIO1iyfptdsUwObGQ67dfcgXvvoGt+7e58zV85x54RKdVo8zZ8+xe3+LlWNtxsMh77z5Lp21ddTCvQf3GdR90Iq81+PEmfNO8eIFLaueXohzkctNRrj+L7BJV164yrvX3mP1lRPufVWi1T51XYEBk3Upim4kVPZgm8lgjxNnV7j0wiuIdjjYfsTd29f5ytfe4c0Pr1NWFZNRxaONXV555SpnT51kPLaotc5jqK4Y9Q+4ff8Gle7y3CsvcmL1JNV4zMj2yYyys7u4Xu/bCZkP20osdFCwhf0SFKKNOHynGXd0yfqz6y1XYr2SzXqckyVm2glOobaIxdxfmtp1eYycgF+p8y6srETrvvVGuRi/r+GdDxHTZh6kpCxuJvaLaL1BYprg0aXvW/hg/hzOygOzz5poUxsNpiplTv1Tb+P/Z4Wl2T7P+fzbDrP9mjc/T/rm5waJFuvMs59rH562n2m1jthgcz6Q2QdHNP5Nz9Whuhu8lTDFM6VJ+yZakUSzZ0f72FokCfs0z9js88fU6c6x45gyk1FZ575/cjVjqZ2xN6wYji2DUcXqSofW5pgqXmI930tj9mEwjkTeUJgW7sW56zteBPJMvIcf8eYRZ10XCpScCXU9BBSTd5G8S5ZlFOpSF+cko1vIAQS4jPzGyXOtzLu/+6voFKitgpj4rWNxLVKPaGc1q8s92nlGXZZsbW7x5muvceb0CSaTMXVds7+3x+b2Dv/gp77I7fubHDt2jKqsWVtbZ2VljXJSUVU1eW64d+cOe7u7DIYD3nzzTeqqAgwma3H5ylXXvm3wRc29KynkPKz3iRPHefjgEWor8kyo7YR6NKCaTFAxFK0eeasDCLa2jAd7TAb7rK6vc+rcWbJWm6qccPf6Db7yxa9y//4jbG0ZDvpsbW2zfuYsKyfPkbU7lHUNZUkmQlWO2Lh/m53NR1y5cpVjJ064+bQWrWsOBkfzI48V9HPj3de9BsbdcW2cpUjSibEoWjsym+Os6wYlF5my/ll1rseZcdkn88y5eNg6xa4X3oUET6iDa5z1wW8ZbgO1M6Wy1hHW2mnYx1VNVbls/nmh0WqfGZgo7E8MZmQoa0OlglqvtcqJlNJp3pVxBWpNipGXWfSbfktaemI503gnkspn4Vk4HDhBTLx00MwqHs6xNLBIEJU1fqU+Hl7i9XteJnBx7fi4bwKSbLiIe41tcJkWTQJnsAAqTsgNGetdueTmjRhsuEvSjzPJxJ5dlyAkamwjMie+3qCRjkJd6FcUDL2bf2SAvHAYJssoRkOCwjlIXJxiSk06s4oXjNQJT0lBoVHwTevgk+2FsXmB0/oxJIVP+jowpAGZ4b0jEhYO/UgPfHV+acRf/0hcq7gPvKIgCNgRK0VoSMQouTrPFxfaEaxJqW9pzuLucKUkKJD83tGkDAh9DUom05gv8FdXkroWlAO2QaCC9/rU+CQx07FHfoghL4PbO+F+gIbw7WV8ozELRpxbi7A76mBNxkoxQUpLbYXtcZvLnX3aMqGvrUi1w2iCm77vmhMawr4JFjkhEolwfpzyxXjroZJleMHU4aRmTL9bC8vB3h6XrjzDBzdu8MG9A7735VZ0Kw7ePiF0SIwjQlkGWaZkWUZQcUlwPVabcJdXxia2QRkN95BCWV3KGY/2uX/vLmY4Yq1oceb0aYwVdg922bq/Rf/uNjdu3IXMsLu9y/X33mcyqPh0d4mDYoelbod2bui22rz4kee5f+s2/eEBtVRUnQ5LS6v0Oqux/YAPXNygQYyQiYmeJ8492tJeWmKlu0RdT2jlXbQcUg0H7Ozv0z2zjG0tYYquW/O65GB3n1Yn5/SFC6gK+9uPuHvzOh98+AHXrt1iMpmwPxhQtEa8+Etf4tLJs+TtHpO8S1kZMgNMRtSTPVqtjOMr51nurWJEqUZj+pMDxoMRd+5t8WkW8O2C3Hi1fFBm+ufq+QPF4Q2rijXBvR53VZQ6vsEJ3JIs7P7b2gZBW72iTlM7wXUx4oSIHaPQoHghHi/Ih7+10Q9NSoFSG14AtUSvQ43989gr/Gz8Sz1oeHcFutSgLQkSZp+GWanpsGAyXYsc/XJOG07J3OSaNRaQmbLpwaE3j4VvrvTPBZ6mpekyTXoK876WuX9Nl9PGvBz6ZG6XDi3NY9893Qwe7qkefn5Ew80WpscoR87MvOoOsThHtalHPD+6KV/XbC9nq5s+XA4lzIaGNDxMkZRLKf4MBh3HW/UnMK6FVpGRyYRRLfSHJasrS7TyMYPKyTGxZZn+OdV9mfYybPY2E3Vhg1kyOBSZ0iqUwltZDOoFfcUYQ24VrSeIOjd4ayytLHdGVNxta7lIvDVMTDBGGYxxvFCIkY8GEJJhOHIh4tz2ra3QakSvbVha6pFlGVU5YXNjg93tLS5fPEtdjqlqS5EXlGXN/QePGI8nDIcjHm1scvnSZVqtts9a7+b84KDPpcuXKfKczc0tTJYxmUzotlc4depMxPVOKdLw3PaT11Q0gbC8vMKD+w8pJ2OKbgu0oi6HzvBQdCi6PSQrnOdBXaJ1SWYM7U4LQShHQzbu3uOdN99mNBhRlhWTqsKqcvzESU6du0RddFwiv6pyHmFVyf7uJoODfS5cusz68WPO6FbX1FXNeNznzq1bfOa752/tx1v0MxOTJKkSmTCrzp04MGNGnSABTsgu1FFXY6aPslXIvEubS84gPqMtVLVLKIUhWveMt/hgQZ3xy2dV9ju9VoypfTmhXTjrZ0q+44gnBjoYlwDCKAchZ4Jvp0QYVQZr8QmsoIMyqNxYgua9ySAb1GfSd8xzsE4L0/ezh/PdjBt286ENZUmIuQ6O0JIOABqFSnc7AFMCVdOSr2o9Ignx7qFMQ9gisCspJMDpQ6I42hBx/Pe+/eChEBIPRmu4hFlwXxkJsfdeGdGw9Bv/L1mRQeP4E/sSbCbhSdhDUZkQotG9YBWUArU2rh70WDYoVxrekWmO4golFUPYO+D3fQNJxdnxc+kUF2Fsrp6mKgafQ8HdruDmOAhts2Sl6Uo/hdE9MYk/kXj1ZARNaxxd7SW8EucChs9HIW7fBG+WJiFzfbZxv6axKM7hmhgyE+hZFsckaHSo9TOhfigN7Uu6acJNoLvuUZw3yYw6VaThOksQjiUOOO2ExOwiaX+FmOuwgAdVxqAyrLWHZIMKS8GtvYLnL7hr90SWSSy0X++A7Bv7GIh5J4KCzrnsW9rGUlqnfBRJe9agtI2QUft7vMMZC5hFOXfhLFt3v8G96+/z/NWPYrREJG/0Ja0UgZAKTlFmKzQLIRJuh7s5slHAbzIstp6wu3WP42ttWraisiWnzpwhy1qYextcvnCJwUGf8XDA+csXyEybyXjMYDKmo20Odva4+NxHKEclppWzstJlMh6xW004s3qMe+9+ne5KD5UcK5ZWd4WlpRVqDaEIYfTWex0FJOPVZWGT5Rkt02I4OGBpvYtWQ2xVMa4rlozQXT9DbnKC4qfoZJw6eQlswdad+9y7e48PP7zGnQcP+YHv+hh//W99hfvDAc+/+BGeu3IRM+kxLC1VbwmjLRceUNcM9vc4cXqZEyur5CqMh0OG/QMebW3waHuXGx/cZQHfPshzaSCORIvVhtOThOkkXHseQENCrCR003hvvXu9teqF7fCzUT5gBf+/ptIhPgaP85MiQAMNVKdOtuqs/qUVqtp5I067/uNjRolhANaPLXhGhjCeWQGwaa2clWkOywbNUtPS0TRtSjQgYatZOCz4zZO39DFl55Wc7vlsr6a/avr2zZbTmWeHRc+j2px9/rhZnVcuzdbh+Z9X41HC77Qj+OHeH57BeT08PMbDfZY5fZ/u3+G+NXt+GPTQu/ljnF92/rN5PQjnwj2YCm3x/0u81uxMHB4VM2WfNBvNMMjmLxJ+9wZTJMgehlEFowqKPHMebqUyHJesrwmdlmCqCiV3LUVeojEO37HmuwYjFHuY4W73KcTOeBY6HiLwKJk4Q6vJnKymkxHVoE85GpOvrJL31ilMTublkEw0GulEasQIJnM5ANwzN05Qj9uUqqxotfLoDi/iwqszKib9XQqjdLttJMupxyMyAy++9Bwf+dhHaXc7mLImy1tItkFZu1sCJmXphPdeD+Ov4zIGJuUIqzXnL57n3v177B/ss7yyzHgy4czaOr1ejxBy7OTLwNtK2ksSdqAbU57DUq/NqL/LSmcNaydU3nW/1V2l11vFmBys+Bx0Be3OMmjNYHef/u4W77z5NiA898JzvHPjPpNJyenTZzl9/jw1MJmUFHkB6oT58XiMIJw5e56lpa6jCdZirTIcHHDtg7e5f/feETv4KWL0kbSRC+/fYa0niH4NVZ3o5mLeAmFt7khH8GoriHVCsjXJMqsKrRwq6+LJtXFSDMm1BNtwbxZFfNZc4+NDxCsQMgmEX6i8oqIj0DLuaodepjE5X78SRpPMJ5Zw7VR1iB1xzGa8cs/H+hrP/IdYeCd8N4R938UgqIMXiqXhNq/EpGbTKMZJRVaDIC4EhUFyb/buLw2i0HS6Vq/gUJHYtzSj08Q6Ib703N04AFaCGsGtZ0Ibqa/h3m6L9e7KEl0Ro0NliGnA5SEQrPcKgCAIp16kOU6zkYRXp/gIcT74zPAQrjDSmH8g5A0Ic9jQKgZFhBKTJCoNS6kmJhLSYU/5BxrhDX5Ng3qiqRSeSi4XiU6D6AveQ8E/02kBOlGncJbCKqdzEBQNKUFkcKUPs5BESQn7KBI8if0P3woNS7N3sW6uDhq0nt7lHHUz4cNvQkiI9d4385i9kPhPG31Q314oH/qb/m6wNJ5ohlUK8+8E+1AAgqt7iNcXlFIzNsddVjt7FFRMpGBQtqhUON4a8GB4jEqCgBwbI3imNOeB0A2P44xAN7d0s5KqNpQILVPTNpZOoXRzS5F5jyZJITUSPWuchf3WjQ/59Cc/zjA/6TPJu33i0V5UZGWBqOYu3n1SjiknE3IsZVUxHPaZjMcsr59gvbcWz7gLyVDGewdU5S6nTp6n0+lQV20+vHWD96/dYOXUOqfWjzPe3+XUiTMM+gPev36Xe5tb1KIsLy8zHk5YWlqmGk8wWlOOJjy8eQeKgpWlVbY2HtLrtdjf2aU/HHLis+fJTOHc9gJxpTGPhP0T9mma5zPnzvG117/Cic+uM9nfpH9wQJVnaNGh013z58aiWDprXfJ8wLg/4NGtW9y8dg3Vml/5yz9JV1YQzTh2fJXPfOwjLK2dQao2m/c3kPaa203qkhSePLXGydUORS70D/rs7u/y4P4D7ty6z+bGNrkcnfxmAd96KDKTkLEHRdAQ6uf3ShDcg3U8XImbhPfZv5PVPVwPZdUl2FMFaxsW9nj2pfF78rNrENTQwfBV+MO1g1B7N/9xJYxr96+svaUfF+sv3tsgfB1uRNGp+huQSFSDgs0XUua+mRnGnKoP/d6EKU7G1zX9TA91JNKI2JXZns6jIt9cv5o7Zn6pebMzy5cdBTpTZv5Mz6stekbO/bZZiogvp0YQ6dRjuheLzpnXZozloSEmnvDxz2h0QqYfzXw3p1PTRcLj2c078/6IDh96dNROmtpzj9s1jbZ1TvHmqHRq7PN3ZeClg9A/roTh2NJbziiM8ygajmtqq7QLwUjtEpwHRmPKw7LJ9fv6Az/iHzk+w+VGa2XW/TNO2M+997Qxocfpuj0jkItlPNylGvXRvEt77YyLPw/yn629l3fyXM3EgFaUk9J5fxpDVVtG4zHD4ZBB/wBbW1548UWKVkFVuzEbUaQcMNq7z/kTPYpWQVmV3L93l1u3bvLcc8+ydvyk88xSl5Du1t37DMYlGOPi68XQ7nTdwJ3Vlt3tbfI8o7e0zDvv/hTj8YiV1SUGwyHPPHOVPDPYOvF44nlqgaZO2c+25zONsLqyxN7GfXStC3XFeOhuACo6PVq9FVSyyK+bvEW7t4YZ77F1/zbvvfEGg+GQT37ucxS9JXqdNpcunOd7fun3sH7yBDv9MYNhSZa7MEZb1+Qmo7O8SpEDqtR1ja1GDPZ3+PCDd9nb3WJ9bfWIffwki764/wWLmPEBHyHeVQLT7zduENKdVnw6zVawyhkx7p1PxuBcvt3vlVVKa6hqF7fpSRviEzdZ7yEg4u9+NOpd5YILsPXKiXS23LUNLp4+z11MStly2pCyBsqMca1eeAsLKpQ1hCv1nEU4CS4N7t5ZMyVZSBNBD2KuK9d0JJZYh3/iGQcz9W04r0nkNF7wsb587hF10KiFwxZ4IdtsJwgsEuKMGyEC/oPYIy/cOWHWewgEeqAhhsWPX8P3Deu4aLRaO+EkuDF7xstzEtKoM9TnhPxZEuHnRDxq8z+nbOKS2KmACi0hiUY6tO4gpzkK86bN1iTNZRRe434K9aceT4GE/eLmIli6Q8lgeXKu2mGHJ+ateeeycwN3bYVwDyW4w7vxB6+NNBLvVC9JWWLd5DiliDoXftVGxnM/rjAHoe/hP0Fc+E5oQZIgFvsdhFVJ+RHUK7Km6LUEEhVwh/qbMgSkuQqNGZM0MpfoL7jIh8Ju19cesYY9H/oaExwKCBn39lucPQYdcVfqjasW/brDantAMaqoKRKhjvhpmmUQ33/xa5AJFJkTNGvE3eVuanpFTadQOrnLvp81E9801lcMSFnx4Pr7PPPcRSopmLSPs2Scv7FqjVV3vV5uBKFmNBqwsbnF+2+/wZtvvEZVDrn0wvMUmWG8f+BCr8oSWV7lh3/TPwtV5venW5e9rXsUbeXY2iq5wL2bN/j6l19nt6z4JS9/FJMZ1o4fox6P2djc5YtffYOdwQFrx1cpMpcO9MzZizx6+IhjJzrsbm4yHI84ef4C4/0DvvGlLzHO+/QHA7a3HvHSRz+G+iQnCoTke2G1gweKS0Dj9nGtToFYLHU5sbrO/s4mXVN5hYbS6ixTtJcjMslzodMtqIYlWw8ece/eXZbWl3jx+cus95bZflRTq+EjH3uG5595AWsNG48esllnrPbOUvm8Bce7lhPLPTJrGfQP2NjZYOPRFnt7+6ytrvDiR66ysnT0dTYL+NZD5hVwAcKJjAJ7g56ZYAn3lvQgP3o2wWGHEGuvxHLWJEG/ql0dtX9W+zKuKs9kB3c7TxMDpm+60DdlltBvVRde4K4OduEiSamewqxCaEuQj5NcJtGaF4UXTW2FkKL54sYszIiAcwo+zuLZ/Cj0P/4IFjJtlIteWkdUM6XFeNwI5CnKPG25f9R1xS0yLdA2+DCgsYmbHx4lNj7hoc7rwUy/5q7DPEG+wZcc0fbUV1O/Pn7vxKKz/ugy80vzLDVCSef2afZzhUMf6FSp6Q91Tr2eP5v94vBKNzsg8TyG9Q9ePmIyLDmDccnJlZwiNwg1k9I6Qb+VkRuioi82Fvh+SHyQNKdP4nsXNuhyluXGCfd55o2a0XLoOeZQhxGyTNBxSTkZuavqcifAU/UR6Toe2lbxOrraVlRlyf0H93j99a9x+9Z1siznxMmTZHlBWZbYqmTU32d19TgfeelZiryLak2tThmxv/OQ3I5ZWz2L1kp//4B3336Xh/fu8dGXX0YxaF1TlTX37j/kG6+/xaSsyIy7V8zF3gvj8YQqqxER+sMRJ0+doa4t16/doKpqqtpSWuH8pWeorQsNV02eqE0jX/obosnUZKwsr7Bx+wNG/X2kHjMe9J3BurtCXrQRMajWjr911www2tvm1vvvYlBe/dQnuXD5Mg83tjCifOQjL3DxykVs3qE2BSM7wJjc0TZro1FHxClYqsmI7Ud32Xh4l8IYnn3uBVqd3rxdCDzpej3j3O+Nd812mf/UM6pO7G1a8A0hwzOomobLmzsKWebKBWJpFX/Ngo+QrkF9vFoQAI2xjjmsJYYR4LemMUTh2y1W2PxeGPSaIqsmLlaeOaGkdgEmrBpFtGJcGirrRLP90iC1SySB9fWq+Ozn/pA2iNmsY5h4yhbk12DlDIqAIBgHd3iRRjx96H+j1qYgKjRc9xuWUSG4Kmu8wi4mSYvW7oBsPGOtaTvHWCKC9TNs63D6ndW2eaWbW/bkIxBQbxIPZxMYprbDHIialJguKDKac6omzqcgjYSG6f9BC1dLI2wi9KBJ7KLCQZEGQY0JnjQhS2nUgoREin6EJjBVjZWJLtWOIUzErUEYxH+jITjBxzF5YcdqYhBTLPUsMWsSzXCVX6g79ajGJ3gDd27iONM6pF56Qd7XJb4V8X73wfMhwwm1NhAHScmvGkvbcMsP+z7wwo0kiZJcUv0UR4oVboIIZyCkowm3eQieOScJ22G/TrtuujYzIiJCBPbGHYyB9daQrckaleZsjVqcXS0p9ipGtAiacmM8U+77FhIAhve5cYQUcQJ8WI4iq2nn1mWbzV2yPGM0hh4l7xASI1+WnDp7gtyM+fyXv8byecODh/uIKEYsVTWmLCvW19rUowEffnCT+7fu8ZUvfdl51IgwGvZZ7fbIEDrdDllmeHTvPpO6omOyuIuMKtsb9zh3YY1WZtjc2GA86nPl5CkeaUGn3aZlgLrmzp37fPVrb/Hl196gs9RhaWkJVcPS+jqra2s8vHmLKxcvsNruUNSGfMXw6N4HHAy2qToVWlVAi5Onz2Nt0+7RXBeJ6wouPMSdibCplGPHTzHcuklLD9gfDTC50Fk5hdDCemWPmQyp+1tsPnzAhx+8x8pKixc/8jyrKycYj2uuP7xN1TZcevYSy6vr7F67x73tbSbPfAeV9KgnglGL5CMygeF+n5u3b3B74yFG4MTpYzx3+QoZBYODRdb9byeICblsAqlKDK82/jlPuCCIE40GMcQnJPULdEkSLbTqPASs9d58qhgLtQHj74aOHot+wzYwYPr/lCcU08Kv/xlwXi4Ov1TGeRpWgk/e6zzrQvhTOB/RnhdwUpqKJM9owkVHiCGN3hx+L423jxenZss0ijUFqQZ/4RHooc/ig/juce3NNjbb7mPKPU1dP+dyjynzuH7KEc+fGhqVN+uaN6fNfhzZ3TkvDj2aU+ehQU5/9HTDfIo5fFqQ6Z/y2DoCQzLzvTJ/TmFqDqerTR9pYIjCcxFqcoZlibVKt23IpaSuaqqqotfOyE1JqXkMHZpVIBrTOOGN0NfwLBPnsp+JjXH6TR5EvHQfjDfePxNra+xkgGSG2uQMB0MObn6A2d5HO+tYybGTCZPJhKqaMJmMeLTxiDde/wY3b3zIZDyi2+0xPDhHt9vD1jUiUI3HVOMxtq5ca2rJVDE6YffRHdaWOuS5vx6vLDl96hQGS7vTpa4tdTnhYH+PGzeus7m5BWIwWQZiEJPRbrXIvEypQKvdYWVtldu3b7G1tUlvqUfealPUOevHTjpBv64dDUjccGPNpsHRF6HT6XDq5Emq0QA73GN0sI9iaPVWkLxNIC5aV5hqzHD7PtffeZ2sVfDJz32O9dNnqcsJ9+7cxZYlp0+dwNoarcbsbm8znhhEDHVtG7wxoJZyvM+da+9xsLfDyVOnWT12HLIsXk0+Dx7vup+5mHvxMfGOYLl7m6MoJy4Jmkvy5baZ8RrwEHHu5kzStvcSRRSAmy6cOAJXSxJOBNcmKt4iVscNShCWEs8YD0RgHo36TLiesNcKZa1U1ikA8lwY1sKgMu6KPp8tTNQdiEqbbt7J5VzCWMQkhtVvjSDANEQdQhx3UGyko+UTvSGExG5BCEtHNrkHighpOyarWIxkChb1UJcE5idF9IdqQ00pMbf4RF7E/tpAmwMiaQjtLgY/rZ0KMTt/SL7oWXbfexOj2PHbwvFNIfme47hS2MI0yYgxyho77GbKW7CdR0AKtwjJ7OJeDLM4paH29xNIEBmnIfTXxrEQvRoUt/dQElOGTCf0aIDgGMnEBGlk3jK/4pZwMCNL55LeaeP6OJzVx/gexVACiPkZIkPM0YQtjEs0JRoM48x8vovgGRLqyDTtvzDvmVeEhXJJMCb2JXCfVoKSQ6buuw4dDIJvSAQa3sQifj9qnJsGIQ0reGji0y46KFvUWZu1vE9R1lRk7E26XFreoZdVHHjfeHEpFtKa42LXgpDvFJ423hiiuD3r9q2QZeqTP04rI6TZPUlhDqUdsNRt88bXvsq5Yy1MvccH1+5xMBrRHwyYDF32W+tjf1Rhd3PTWb1F3S0pBkRrrBFKW3khBwaTEd1OO26I8bAPjDm5fpLNjUfoeMCZS+cpy4x7t+7S8TF09+49ZDwa8vzZM/zQ934Pldbc39xmqxyRZ5bb117nxWdW6G/d5J3tDdQYrv30Fzlx+iydtQ4rZ4+x0u5SZS3aSytY28iKIR6r+f3XTGoatktALqrQXV2iJ8uM7t1hPJ6Q9Qqy7rq/otV5htj+NuX2QzZu36bby/nYd3yStWNn6G/02Xy0zTvv30BXchDYunef+3dv8A++/A6XV58hPy5ILZztjji1JEzGE3YO9hmO9ulkhuc/+jy9Yomi6DA8GNI/6B8+UAv4RwYRewdlsVdCJu+44P2UEtWizrtGNYRuJY+tKf4pKDS9tTkT5wVoVaiNc5+vxbvzE7blPOm9+SD1u8nfN8OAmr/OVDJdNwlvTHviJXo0JdxHEp/qOixYyZzfjn57NBvp3zY8CyEtS4Mtix1p9rMpUzWtadMNzmv9CFHxEAF4Osl5ap1+juWOLtPoV9jHh55Pf/G0vZeZvw/XpZGf0rlFm5zWEV2SOa3MWacp6/Jskdk658KcvTlnWzy+jqnPfL/8FzqP00uVBhll+rlMC13NPsyb7tlq0xEheB6q5ozrjNpCu8gwApMaxuOK5eUeuSmR2vFV6Vwl67uQ5joaGNHofi5Yz6NYf5VvwzQTPKT8ABR1BiJrqcZ7yGALW9dM1DCpK3Y3H7F1+x4Hk5rRpKScTKjK0s2XEUajCXs7G9Rlia1rtLZgwVbe8i9OcToYDignY5aNU6Cqrdl7dIfx/hYnnr9EURTIROn1epw8dYo8E3rdDqi/k74sWVvq8blPvsLr791g62BAu9Xh+LF1VlaW6PXaWKs8evSQt95+g1aRsbu7R55nrBw7Rru7hGlBb3mFyaRy1xWrgpnvexLkMfX7xtY1tQjHT51jvHefzUe3GI9GUHTJeitYU6DiPDFtOeLg/g3uvvU1Ot0WH/3Md7J65jy2hofXPuCtt96myIReK2fz3l1u3bnH2zcecPHFT3DF4sIfcLcWGGpG/R3uXX8H0Ypnnn2W7vIqlXU9rKvyyL33hKz7XkhyWfUcQbEC4tOwqYnxbmmrCMk0GFzbPAElIBnr3PBwCgFVXAIFn4gv8+4q1rvfOe9VddZqk9xeFX91X3BFx3kLpLYk5eT2VKeywsgKdU1MfNOvoF8ahmVG5SVTH3oSGYfISnjhNiTaitZH8a5/kmKcs2gJbDiaq3e99655xqvhJWypeFj9yfX7Ll5Hp8a57Ps60lV53s28KVx6V+Yg9OaEa/MgZPhLQnKy7gZlQoo8d4nYJI7VVZKhDYWGRAGduA6+sSQZp5wBklzEowuk30MhN3io1jSs73WU75OLvxLqTP2NahJx+9QpRNLeDsJy6EFA7tGVzi+WiLNkRyVKA9HH1ImS7oNHwup5hYpACHcI5yQwZE0SmEis43yCO79oEuSJ43LjD94LahpEQMN3cXBEoSocS1IMfyRQEkI60pwk5b/1/w9jCqgvbM8whjTBYR/ExIMNQqjNshKYw7SWWYOJNuHsanOdfS8lea4EC12qH+I5Cv3z31WaczDJOL5UYoYWyNgeFRQnDUv5mLxUxPi7sn0dLj2JpZM54hkEVHzblXVaAes1Zu3ciRtWrUuu5U9RIBZRVyzCaDjgzoevs1TsUYwfsrpacP7cZX78p97h/Xsb1Fadu3FlkczTZ5OBydCsCFsMxHh8atBJzaQekYmhKmsOhn3WO2uIKv39bW69+TOcXO/QyXNqLVk/fY6NzR0G5YTnLp9ntbfCzt4+mlmuPPssD1obfKpoo6OSD9+/wWt3blC0Mib1Ho/6E+5+cIsvfv6rZO2MJVOw9XCf/f4Is7HPpD1m/dIlwHt8Bbzqz6uzbAgStT5x+Z2bY1C0ZoYiz9jaHzCqKrrdZVpLx1DN3JxOxky27rKzcQdaNS9/4hMcP/cC41HJQbnL7Qc73NjcQg2UgwPu3PiQ1996j4++cJbjnZydgdISS29lwGDYZ/PRfR48uMvaapcrV6+ysrZO2R8zPBjR399na2OfBXz7QGL8GNG7LzLPDY+QiJfm8OruWeJLGog3urtHXOoVfeLDnDIhuvHbwPc0BNmnEcjCyVdN/5qZ+WsbEgmGvADS+DbQKf+3JJrkpiAoK1KHpoScI/s0O0HTb2Sm3LxpdS88ntVGed/f6TA7nS4njfJxUY/o7JF9fXKp1IPD7LzMjDVRkNl6Dpf7Zss0y86WnFdo1rh8aAFmB3h0VXN+nxmnzJZscCiNxw3dWiwl0x8c2d3Zp/NamwuzW7NZ8ZGb0p2L6b6SBH5f19Tfc7oxxfvN/oTD9UOywvsHaY69cUINSE5pc8ZlRTszLiFfBePScqzIaWWQ1y6sOeSjMkE+FxKP7QZFNPeI57VjnxQXMm09fjHeK1KIoXRaI2oZHWyxd+dNWuOH9LIJpmhjrGFzY5NrD7YZlj7+3iMwd4NaxmRSMZkMKcuJu8PeC+a2zuJ8WbVU5YhqMnKeTJTsPLrFvfe+zrMXTnPs2LobQZ5RlhlVbVleXaPVbmOAIi/odrucOXmck8dWee7KeV57+0Me7fTRuuTWzevcFcPG5gbXr19jf2+HEydPICZjbX2F3uoK49KyvLJKu9NjUlsyshQ2LYE/1qmldf987jMs2Nq70xsmwwHUFrPUI+utYU3mbhaoSkY7D3l4412Wl9q8+OonWT5zHsla9Pe2+PpXv87du/dY6XUZ7G5x/8E9rt/bpHXyAsdPnXaJW611XqV1zd7eBo/ufMjKUofTZ89isgKrFrU1tbVsbW7P2/7AU1j0Y4yzBpdsv8n8gG3YuA135OmzJwQ0H/6FFF5OI6WBUru/vSBvrEtWY722olsopfMbToTCJ05qJt9pnnyrYfmE0sJEhWEp9Mc+U77CpBLG1tAvM+raxFsAmmMIiDo0b2jEDfvdUBPudE8CSbjOymnKmBIOwMfK4gh2OJi1gLGBMCTBLgo5XmjShot+jetIjD0/tEmnrWWuLRPH6IeM4jOtS/IEaMbvBw1iqCS522pk2KOAJs71O3gKiJ+sYE1BhSb+Dbskjlh8RLYGZU2Ij/dr7wcY3DQJ/fbSbAgNyOKEO6+LJg8R3rgiZjo8TtK4FXyIwqw7fNjzDU8PEiMRcio0XSxD1TFBoqQxxX0T3nnEE/thXNkQdqASBEjxQr8rH6/PQxBJQnpYIvFnWbz3RrjSseldIX5jxPXx3x2mbjSUECGfQVrNdPVeqt8oMbdAuJqlDjU3CHaYo8STJ8Yg9SKFEznvAa/iCbQPvOIvEDNhUhl2yxZn2ge0fIb8nVGONQVrxZDbpcVq5qNVXCu5Udq50stcfNfYad38evna1d3+UQKDylnEDTWCc72XcMj9fCDK/bvXufP+19i4e41nnz/DmaWSqy+9wud/5g1u3H9IObFuf9vgj5K5jeBndbC3S1lNyIxByD1hVzcZJsPWymQ4Yvdgn/PrsPPwHrde+4dcWIPz556l02rTW11je3uXr339DbrLXS6dP0nZHzGZDDh15iz9nREPtzZZWhLOXbyA2R9w/9FDtu884vq777Cxscn27j5nT6xx8eoVPvWRl/ngzbuMrHL24lm27tyj01oiJ4vIRr0XVNNvSa00LJOawsLwz+oaSncdjWaG2hS0e2vYkKR1OKS/9YDB6IDnPvo8qycuUFvDYGePD95+j5/8yhtsDvtoXbNx/Q42zzl/+RQf/8gLbGUZD8fKUqekHo157fW32Bo84PkXLvDC1Rexw4rJYEiWZ/S399nZ2eNrX3uHX/WbWcC3DSQhAw966BeSTOKRRHT+isWmFYBAY9/JFG0PilPrcYtRlwvECeKe7/HIJoQIaGg0tKlJuA/hjLW6+PzKQlkLk9pZ8iobrhNuMpiur1OCVPSQlCmcGQSKUGRq3Ee4bU/JSFN1NdqcLTcXGki38adbj2QRiwXk8Gca6OG0HPbNQ5NMBdrX+FMafWuWmQWZ/WU2nOAp65pdo1CXzC9++FuaZZqNNqpslGuu29x+HR7G/LabHZj7svHL3GKJN0g+qY13s3vlaUFmfh7Z/uHys8UOrXGAWY/MacYj7uupfdto5HB3grEpDdrhAmFSKd2OoV3AsLKUkwlFZugUyqC0Tqnv6zbgjfFB+I8UNLUT+DvflPX4xnpBv1YwFox466oqWk3Y37jDrbd/hoNH17h0Zo21s8ehZdifVDzY3GZzd9dxHpm7gS0Tb+gygqqlKp2l3yXr81ZctS43m5cJRqMR21uPePbqM1x7+x3e+cpP8MKlk5w+dQywaFUxGgy5f+8+uzvbXLh4zhlEbY0Ak/GIg/1dOkXOmbUuw4sn2d7e5vatG9y6cZ3BcOgFZGW516bXKdgfjF2svCr9gwHPnL0KxlBXjjezAmo1hUhN7YvgaevDTa2lthW5VlSTMZPREMXQWT5Oe+U4Ni+osdhRn0e3P6DbbfGRlz9G7+QZaikoBwe89pWv8NYbb7qQBlVuX/8QafV44SMvc/y5V2mvnWI0qaEl2KpmY/MuW3evc+7sCS5evgwiTCZjyklJWZds7ezw2mtv8mt/w7zN/wRBv7Y2ZGwgaDNQojDltp3/3f+IRKZZUXzgmbwGrQ73TcdkV+IEZnzcmoiLM5HMHaZaQBvJKRSJG9dRRUOJJ5bWJ/FTZVgKg9Il2bO1u1aiFqVfGiaVE/KbDEFzsdPvMrX4xGF51UWwxDbMCgYXb2owMZ9ASvbm5xm8QMtMgh3XRlC2uKb8vIT4PZywFAQHxQlbmTYDBvyNAL58ELQCcnBjTAxK7QfZFM7Ur10Yv5HUwwzvyaBh5pLrdpjMVFr93+rbmMbUCv7aMidEGfHzpxKpZdp5QrAz++ET7KbumjY3AyEJXR28KBoERwITEgQK/3fDrB/3Q5NMuevqwpM0k2n/BK8M4kZqCjXT1wum+Q4jCjWGcs2M9i68IaEi0+hX6olGz5b0vxTjLhDdguqgkKCZ4wDP6CUtsU5xK2H9wh5xezATt9eaCfDCjzrsAkmWefX7PiiVjDLl/eBCEoKXRmg57ZmmkoS45xzCDjFLLpxDAnoANdzvt7h6Slihz1Ba1LZga9jiZG+C6VuXlM3XJkZp55ZuVmOMu+xmYjMU59kT7s/O/OrWKpS1YSze68UrmERc/hLEItZy4/3XuP3ul9nd2mBwsMezV09y4fwVvvHaW9y7e8vdcmK9Ksna6F0gYS9UEw729wnXV2ZZRqsocKov6wgtlsm4z1d+8icYvvCIvfff4sqJDq18ibyV0ep12dkf8Mabb3H/1k2ee+k51IDJlNOnTjMcTHj9rfe4//AOL169gHQ6HDu5zrPrK3ztzj1Ge0NWV3t89ydf4Jmzp3nz6x/w93/8C9S1oZ4M2b41YmN3j48/8yvJJSfkp3D718RwL9TRgoiX1HkRhRAFVTDVmMlgh929XUxmaC+fwJguWrs9UQ1H2NGAMxfPcObisyg99jY2uPH+e7z2+tvcvP2IIUptJ2RmiedeuMDzFy8xUigpsCqsZfvIeIe1lYLT557l3JmzUFtUK8pqws7ugN39A9595zZ/76e/yO9lAd82CIrGhuCcsJHGIvGdEr1BgJjvIbEiU+xcetf8PdBx8QQuSM/+zlnr49oiOtb0bWg7WOedcO8FfHVX65U1TGrDxGffj9fs+e8CrZuWgxI3KjP9bP7axNZNcnyIN5udhcMSyqFyU0USkZmqf9Z1f0bGmS4HU/zX4aabb3ROqdmPZrjQ2YrnNDRPnp1taa7MK/PLHerlY/owr9rHf96YyMeVm9Pm7CM9omhzwYTZQp7OHtHz9DTx9XP3zlH9bHbsULFDtT++KplfMA3l8A479ECbj6YPQyOK1D1uttVc46k+aJStaikY1TXHMqUoMszIxoR83VZGa2zBeiMkFmMEMd6A4kONknm1wcj6p5UKYgUjhknt+BAV8YpLz6tWQzZuvcPNt77AwdYdCqkw5hh5q6Asx0zKiuHYWeqNyfAO2Y7PUIOtLXVdU1cV1tYkNx3Hh1itEZ/MaDQe8eN/92+z9fA+1976BpdP9Th9+gSTqsLUNcN+nzt373Lr5i1Wlnr02v7modoyGg549+132Nna4srFs6yudDl7fJlLZ45x7c4WZVVzYn2F1dVl2u2CpaUuw+GQh4/6SNGhGo8Y9A84fuo0tXrprMEfBxqRLPrip9NfjeoX3FiLVGOqwQHVaIDkXVbPXqG7tOq9KMfsPHxAPR7x3AsvsXTyLLVkVKMB1995iw/feYsiM5RG2NnfR1o5L3/805x+4ROM8lUmVmFUMh5PYDKgGvS5cOki5y+cQUxGXbnMVaPRkPuPHvDG2+/y5htvz+7gCI8X9NVpZYK2Owj6YfzBBbOZfSsKlxK00k5IUzQSXsBbehOb7lzOXD21t9EaH6dvjEHUXaEHpP6gVGoYWqgr4+OVhbHCsBQmlTiXV3GMd21dp8oaRghqlNEko7YNRYPHhFOCVuCuPUTh1NP9IIAB/m5svzkasdjuTvHEaAQ0aXFWgiaxM402XDh0suLGOCESDgnCWxD8g6IkWJvDGIwXCAg8i/8+Jkjz/zMkFB50scHdPs1Lem98fZZ0n70QEKB6QS1EkzcQfsPHLwjBsR2FcAN66pcL31BNNxTEeScxRYK/icH31wmSQRRNNwKEUVv0/8/efzVZcmQJmuCnamaXOncP96BAgCcBMhPJinRVs+nu6WmyK9JPOz9on5e87w8YkdmXlV2R7dnmXdVVU5VZSAAJGhEITpyTS42o6j4otevuAWR2NWYeYED4vddMTenRw8/R4N4VaULEyn5tvCLBtxGeJ4hfkMJ15MbSUIK0p55B9B4I1tLp6hRtzwy3dDGBHV7poxO+xrgO+3AC66bq0f7ifAVW14V5CAMFtm5/XCRE2LJFTbgnkzZTr5F0TjAexkSYTw8LnkkN1nvh+hYUf87qKyITL1r/TFAU2H2mwzpmbn8Ge4JwwriAk3kXI2C5mPKiWgMhOZx1uFmMWBIzjrEW+UxgE94Im8gzw9D4lo0V9A1xb6V9046ZRxgyZVyIB2QKHn7+Nzz+7C+ZTM+YT8bopmF5ecjx0QEnBy/45U9/yH/6y3scT84CtGhjz/4SGIwNbgv7SwIizwBphQ9jY8S6nQ71tOTX//Z/wew95Uc3dujmGUpm9PtDxsdnfP7JR3Sl4s1XbtFUCpkLlldX0ZXh4d2v+OSDD7l+bY2i0YzPzjC9nCtXVll6/oJe0aXuZhTrG9ydTFl54xUmj494srdL0cvI+gPy6ZSdq69iTObW3SCNdN4XEOIljbBWUWFH1LKEauiZknk5ZVLVdPpdlrZuoJvM4jdtaGZTumsDrt68TqMz6tmMO59+xmdffsGVnRX+xxs3+H/+x7/hSGpee+M677zzOsNsjdnRmJNsGUWBUQ0NJduvXGN9eUCRF9RlyXQy4nQ05vnuAV999YR7d54wreZ8d317V1AQGQLusg/Oc/HBRR7PczisbiIOTAiaeyd+afHqrlnvoedf9XQp0H/3krf0+4zOjbPUNwoqd6Reo62XYaMEjZFWuNdWaaiMwJ8UEHCka+tCyWahT205Q5ybnpSm/K1cov0jOl2Y2KfFxkSgiKksmNDNC650IhYHsSiUCUgTJtr6RWuN269dPBui3bH2i2ah3EKnFrvk+3BxJ0RrLuLLFw3wXA/xVA7aY2y/lXY44V++pk3RenYx33OuP+fq+j2uVpuX1HNuHS96v/1dLD4zXKzA8c/O9eXyflpvFBNgL31XuPq8fORHpY1kVlu80Mkze1x4Y6gbTbeQdDObuE45jYL3fI78T8RtYUpCciELD0oIaiPJtOUdtBAoDJk0CDVj/9GnPPj4v1CO9zGqtoluu10yKZg3NifacNinP6+JXLA9EUcp+6kbK+ijfbijmw8TQxbtBCg++uCv2X34JT947SZb6zsopeyRfFpRzmegtXX/15o8z8EYtG6YTcYcHx/TKXKUqtG6oNPJubq1xov9YybTkiwbILMCIXKaWnFyckZdVfSKLkbZvEXbV6+HPlqFrFs3LL+pPE/iFs0qRmQQ9IVuQFU08zGqqij6Q/rr28jcmnPrqkFrw87NV1naXAIp0OWMp1/d4dMPP2Bja4PVjQ0+/PVvqJqGW299jxtvf4+mN6AqDXPVUDcw7OasLw1ZuTKk380QmbCKE9VwenzIg/t3OTg5YXR2apUCl1wvFfS1tu4WgVVOEup5kcPGumUBkq0NyWq6lctS6y19ERgdijdJ7HuoN2rgvWuncAJ/rq31UeNd5qzL29lcUNbCZluU1hWuVIK6tufSCiFoDKAI7ixKQ13L4I8fY8u9cOAsvw77+rjv3GMWT9QRGKGdIC6CMGiTidk5ChZXgcuuL1yCMu+6lUSbi+TDx9E7pOETHgZmw89bIsz4u1F4F0RrqAhIzQpyTjWSICY/tBYBJhUM/WrZKxwpKKKLtsLPmRfeZehnJESJ8sL9tsmPXFvChPX3uTK074mHSYNTKrh1c+1Zi2ckUjppA6IiQxE4ODcPViizbvkeyu26BiVDcDY3Dskm3gFhZuIOiQoT5znh5l/7XngvDEGAdbt+msyNJRVwIbHue9wkTFT+iNiWwWsmLUAZExUU0cPDuOMAPXhEF3wPt17I94yZSPqSWvPP72VPdKIyKtz0igXXh+A34JL6tWL6vcIjWAXajJSPQwu9c/MjSL1XRDIuw7zuMlVd1joT8kqjyDmad3n7SkaXOUIs0800S52GTmYJQT+3rrZGyaBJtw1Le8ReAmmNjmFDfa1QytBgE+nt3vuY3S/+mvn4lMlkAqah6OasLA148fgz3n//hzx+csrpeGaJvlbB5c5n18tk5pSwEqEtHMiQ98SgtSLLbWycFHBt6wqvb6+wsTRENZq816eZzznYfcorN68hZZe//qvf0Bl2ybMCSc6TJ/ep6xl/9w9/zuHBAVXVMDqbkNUK0e9xZbnDmS55fDDlf/6f/n9kHcnOtS1uXX2d+XzG5pUdzHTO5GTGlZ1baC2dV4c/LSXkQU/gAtBOKWgERlstuzAK2UwptAvyyLrI/haNV9IagUayemUD2e0zPh1z5+Mv+fzz33L79lXeeetVzp5XNJVi/eqA125dZWn9OnoqGJcT5p0ekFOXisFGj43lHploqKqS0ckxL17ssrd7zFdPn2J0wzuv3aZqLuMOv7v+W1zaeF8n0xIcvUXGcyrhuD3PwNH+rQNNFwEvhLoW2vRKW5EgN58PxjOAtg/2TYWgMQKlDJUSlI1N/Fs1UHtrvbb8iBfqbS4i4meLwlzQKd83EXFeGtHQGo+JtP/82C4e84VtfW05X8IJI8QwOt9X21gbg3tm2o8zfbp4RXYh9vwyC3v7U5x7xLn3Un+7Cyq9sJ3L9v/5ukT78SVvXdyvyJG9DN/EchcL4GmZixpOf5678Q36ubh2iwW+rv/n64o1LfbZtMrZL0ndZrGtyMi2V8PN1QVJEC4AtViHSWExvu7nJbxt/MP2jEZc4mdMUilJqQwyz8lzS+vrqrGCfiGc1681fkrHSHpc52EthieenytjrMxTIlECtNIURlNIzdmL+3z1279gfvoCoxoEBlkU9AY9jBBUTY02mk6RU+Q2caDR2sntSZvG5ijSxiClJJMybGwBGK3QTUORSTpS8MrVTa5f3UCiaeoKjCLPJINBn8FwSF1X1FVhQ6e0PVJXIFhfX2PQ61AUNieRELC5OuTW1Q3ORjP29g959OQFdV0z6OUMhgNElpFlgqqu6fb6XLl6FW1UYK7tSujgtWpDtryx1BqatB+O0mRaYVSFqku0Voi8j+j0UUgwCiMEw5V1BpbbxMxO2X/0kC8++DWrG+u8/8d/yuOHj/nrv/obdm5c592f/5zO6jpHM83pqETnS2yv9Vlf6rDSl/Q6IISirmbUsxGHe895/OgBk+mUrc0tsqLL890jLrteKugbE3RFeDY/3RMGkViaHTJysWtaGxptNVO5MJC5+IYF4c4DvHc1Tnk+j7L8Hs6ktX5r51uujGSmYFpJJmVmEwVKm55LG2O15Qon2AvnkSARQpNJe5akkk5o0m6ErrHApguBd4NJ7MsxZhtf3gQLpxEGJWKcdHjLCaZWeHfeCslGxM2y1/Y5VoJAyIWzUvo5SbKrmVgyzKtx48hxIQ+OohqMdWt2FXkrujCJUGfsiHVox/fP1h+sGE4SlYFxahNTz0yFLWOgca/5djwseSFAxZcRRMYqMyRW5oC1XVJDX4sTXgUhZ4GHK3/UnzIm9Da46vsZNPZ+8NoQcX1aTKH3AHDt+AVu49ioqNJuQXSgwZENSOcs5DvABSUYzsFDOLVA+F0ZAIK2W3usOHiTuAalSMIIUhrpNL3CvRPom0OGQjikl4zVv54qoRZZimDFt+CCVzm04NzjAVeXEu3wBhHqFgHeZWu88d20YeGUN/GepDY5R2Wf7eURvXHNlJxp3UULuLKsOJ1ohh3NStcSQ69c0nU84ksIQQE06KDwCTBpcKd6GOvuL6w65ezFI55+/peocsx0PsNoC9HLq0vs7z3le++8zfhsygefPWBaVjZMyeigIEVr/CkbutFMp2P73dgEp1LZaDKTSYSU1FXF8vISr1zb5sbWFiiree8Oe5weH7K6tcHa6hZ/8Z/+iieHR7y+dovl5RWO9vapmjnfe++H3PntA45mDTKr0HrCUiezeKPbIQe2l5Y4O+xyNh/x4x/8khePnkJToeZzaiO49cMfMhisUisTIFQJv5IgkAmCtB/KYIV8F6ycmRpRjSnnMxqtybKMJusxqTN3SopmZanDQOScPH/K7tOHHO4/46c/fY1Xb7yCMV2eqGN6wwHf//EtXr39PdRccHx2xDOzxKR7C2Mk/T6srvXIjWE8mnI6PmEyHvP8xQFKGH7w1hvs7Gxzujvnye4B313f3mV0i50NLrOpJct7DuKEeqPjEY1ae6Y0MsYpBoL4NYYPRcyTChzeS8orocHi61oL5g3Ma/uvUlA7i77WlmfxrvxWWetUFybWY8eS8knxWhRfLirl73s+wStCBOdFpmTI5+r/urYveraI8/2WXiwoFu9f1PhCZTFXy2UdvKjBr7/EJd8vL/3NGrhsbeKzi+v6JmvxTct907ouvcSFX19W7MJnL5uxy979Rn0OhUz73gX+8yIpG+s+D1GL8HC+poU3ztVrgvdIqy7Xr1DKGz2FoNbSJoaTOZ28sQrCqmZpkDPsQKOsn3OeCZczxHn+CJ9cj3CqWKSysfMGG1Jo8w75M78M9eiAB5/9itnJc1CVU5obhMjpdnMMDbWqOBuPOD45oSwrfDYyOx4R+FOttbXuK4OQNkGfxPJeNjxPI41mUOTc3NnkrdvX6WRWzszzjG63S57nTCcT9nb3OD44YmttxcpISrkYfUNTN8yMBpWRC5DS5qjaWhmyttRn72hEWdasLA/46U/e5enz5xydHNsT1FTD0toW3eVVZo0mN9bL00spXjHjDZheztFChHnODPZ4QFWjmxKDoRGS07miaAyF0UhtyDKBqWvmJ/s8f3qP+3e+Yri6xo/+5B/QW91g9NkdlIDv/fjHrO5cpaLgbPeA3b0xt25vMugV5JlNoFjXCl1NmJzuc3LwgpPjYzpFwc4bb9JfWmZ1MufLe4+47Hq5Rd+btoPlxYKy14w7MA3Abl1ZDUpptDbUzqoPqStuZNTDDjIxe357y0RROU661YYbA7UR1A1UtcAoY7Xj2sbaSyFRxsbChdhn45+BNILcncmnjGxlJCdp08JytCAYYZy7vSsjfPbzJOFYQvVS4ircWD0S8sDkXdi18wowmJgIz2EnD3D+aD7fl/QYEMvuuv54wQqfEM+JQa6/VjgMdubAFMRVtpe3KodkbuHdqLUObu9ubuK42+PECKfc8K3YMaTCYQhh8KDnEJj9TNFsYPfCtgzhCD50wBW3oQwJAyQ8LRCtfAlemA2hB8T58eygRwZ+LkGgXaK1yGA5T4bUPRHnmYJHJG5tkpG4zYFbGsLZA6kChihQx/mNa+bPj47jTRjYBNa850P6OKo/bK+DUsK0k+l5pjHOCeFoQZMMw8OYXZfzxNSEFkUYh7XsmwBfED0Y/CY0bv/68VncIINF3TPpfn6FvwlOQWfbPam6XO0f089qxnrAqCqoRJf1fMR2f5VeT5BJa1/LhO1vLjW5yJgLl9NDQuY3p9cGi5hoE2NP+tC5pCpnPPrwP1BPj6mrufN4sv1rmpqNrS2aBn7z4SdcWe6zfzilwgCZhR2vvvbraxTG2HvGGDq9LkpbjXwmJcJoup0uqzt93txZZTnT1I21iua5pN/rsLm+w+MHj/l3//nPWFpZZnNjg2ZWMZmOuPHqK+iZ4aOPP6U36NGognE5p5vndHuwtDygd3yGEYbbr9/mp//0/8CPfvCH/D/+L/9nhhsbbOzssP/0GW/84Mc0jQiCGsZ7EtmVlw4uU55Nufhnn3ula2ZkQnO4f4zsSqrScHY6YrYiQUuGzOnpI3R5ysHDJ+wePee1t25x6+ot+qvX2H18yl/+6jOqnubnv/gJ6IyzgyO+/OIuz668T0f2WenUbK9oMm2Yz2ecHZ9y/+F9Dk8OuPHqDa5tXmd1Y516Knjx8C6y08po8d313/jynk1hawW6EnGsZ3S1AeOy4/tEvT6xb+QzfGxddNP0hgvvKRUxTNoH41/Dq2VtXg7BvBFMSpjVUPqTfbTjTUyM1/dJ+dJ++zF55H2hcJQKXsZjYhZTyoSiCQsRFCNhLBdX+42ui8tHRXioOwnPSa/EgTDQzeSl1kd6+zwVuaBnYrHEhTN5Ye+/acnfty6x8P0ihc7inUUe0lxQ7vep66LrsnX9mq/uxiXr8bX1/47XN6hEJH8Xy0d+wAQmMeURwm+zWJ4EWJProgUxi9MRmSOR8LG+9UZb759hkdukcQqqWpHJgm6O9SrE0MmtDKCUoTYu50c6HCKv3uIrE89VK5NJ6mbKiy9/w3jvIUKVGK0s/+WUo0opqlohpaRuFFXdBKWh32a+/8bLfSqcP0WeZWSZ5falACEkMs8Yrgy5efUK3SLDKHskXK/Xp+h0EEJwcnLK3Tt3qeuGtbU1hJQ27DLLqWrF4eEx/X6XbHVIJ5dkmUSpBq8tlULS6Xb55//yX/D3/+7f4f/6f/u/u5MAGqqq4bWbr6PzIbNG08UdeU6UP4Tzt7UjFc7o5BIOApnWFFpjdElZTlAYKlFwMqvIpw1daSgqzaCqqMZHHD+7w8Gzx6xu7/DGez9n7co1Ts/G3Lv3gKLT5dqrryDzjGo85c6Xd9CdLYa9wmbbN4amqdHNiLP9x5wdH6CUYmVtjbX1LZbXNkBIZuU+8+nloYRfn4wPgVcLmxbwOCbducZpR0D90TNKG5pGUDU2CVchjT1uHptAIgKJc0k3XiiJf/2G8ITaJ/mqlHDHSGlyJL3M0AUao5g2GZWxGfqVkc7FX4cj2owAoyVKapTyN/xmTvdx9F7wwovfNDLZxWk8WrAF+1gUovuHSLR3/nxw4d4Xfl5lVChohxAy084BoJ2Q4+v1bsk+VtqI6Abue+8ttH4wQY0hvA3UhJAF4Z+LuDbghSfbT59p3B9tZpFXAjhhHkXLeuvd4cOpCSaBgmR+vS7EJzfTxtVvrBDlXe+NW9CAqtNBxsFi8J4Wcc183L6fDYG3bEcyKBBOmWLrSd3TfT6IuCMiwtCJKG63jmcW/Wn3sV7frsArw6KwuEg/oju9h8m2a6dPYpgS8wjPfuyuB77+wMz6vyZ5JyI//8S3m0xvi6kDHfrlBfy0TJrPKipHnLdPAAX7JRz5aCJ8CaHxx1h6DxzhPErCaQGu4yIl4r79ZP5O5l2KNRjkNVRgRMa4kmytaE4mDUrmjkhZ7x+DIJOCQmo6QlMZ6zomBeRC26Q3AjJpyIRxCbVsbpBZoxnd/4jy7BFVOaOqKzANmbFJ9rpFh0G3y0cffsA7r19jOu/yxaMj6yKGtOfSap+5X4SYMiFl9ErJMpQxFH4eBHQywc4g48pSB6MUtYKsK8g7BSsbWxyfjPjoN7+hGc/obG/RXxoyGZ2xtrVBrzPkk49+y5f37/Pjd99GNdriKFVRFJJMZmilmdcVotNnsLnD7vGYs/EJeaE4fXHIpFKs33qbSSXteoRjfXBZe0F4ZZ9wYToutrkOXliaYVYjmhll1VB0CqredQ6eTVjqatAFmVGo+T7HRw8ZTY+4fnOH2+/8kMHgOqPxnHsPnvP08ID+ap+8kzE6OeHevQd8dP8e27f+ECnh2nDCeqdiejLibLzL0cE+mWz4wVuvs/3KdQadZcp5yXRacnRywou9Xb67vr2rMQ4XB8F+USg2QXi2fEj89K6rhkTmDMaKiF/saTEkyutYPg2j8phWG0FtBKUWzJRg1ggqI8IpItZy7zM20zpKL8XdAYea1NfrvIgaaUKqWG73T1xQ7m//WpBqvrZ4Iih9bVk/Oefxd/v6piP7JuLlIrX9Ni7PfbXbbNHUb9yvb17XRTDx0trblVxS4GU9u/j718/0N5GoL2vtojKLQQmerxSXFefcJmNxf8WmRDqznsVOX022gBAiHJNnkNRklE3F2kDS70hmtaaqG4SAXiejM68QQDe3HHcjBFIZGmHDCa3xs833+UAn20evYDDYI7oVJ8/usX//t6j5CGHqpJMCREajDZqM/mAJw2GijHTVeGu+sLjNC/oCyKSkKAoyaV3mbR8MuRBsrCyxsbqMBBptrflFnqG1YjKecv/eV0wnE/r9LsvLSy4kUQCK09Mzjk/HDAYDMNq6zWMTAeqmoalrMmlYXe5z7eoOz57vMhqd0et1UVqhEGzffI2Z6rhwSmHDAi2XZRO/YzPxY5znhJAYIW2SYmk9g6VQqGpOMy+pTUYzXKemYFo2yNyQ13OYHjPZe8jk5IDtmze49c77DNe3MVrz5MFXPLh7h+Ggx/KwTzOf8OXnX/L82Qve+tFt8swlPBcGYxrqcsx8OqbT67G0ssby2jrdbg+MZF41fPXgEYe/7/F6RuOsa55COguo8QJM4iaHcZllLRdnj8azjKk2NpGe0E5z7eJMMhGFgFBXatkRVjgC5wprbAKbWtnjKAQ2+dZyYTAFNEaiStC1RCkQxrlwC0njhXqslU9rC9CpIOStnDoRHNq71dA+wq6NMIWwWbaNiUfeeVfsVBC21kgrFAUPeiAzoiWMGl+niTH3Gut2L4wXUEVSv3PrwSpdpHN3C+efW+nHWv1DndGrQCR9Np7R8e+ZMEMJ/vNzZvD5G8JZvmFOIvGRQSkkopAZxhwdJaOngQzHxoVkcG4dQp4dj2SNSPJJCNufEGcfXgz8gzQmtGjwcO5h0atsojDZwvoLzJmvxTuEWgWBxoexxNJOYDQmCNvaCOdhYZLEi35dI5xF25NpeZ/48fgexrGedx3z6xDF6zifvrJ0XoUba/RQaRPKsBMCcLs5TRhjsG7aHlY9p6ycgGeVYLawnXM/PrEQ5iCCZ4lVGEYPBjv+KPQbIVxyPKcQcwx7XF/bl6N5gZJdNosJu2qDXqGZ1xm9JU0+aVAmR0oopLbvauk009DNNVJZnJR7BZ0RCKnJnTajUVYdpLRgcjbjxb1fYZo50/nUwrhWwYtkfX2FvcePeeXmNpsbO/zHP/uUWVXTAKCtK7vbv9Z9P6euNY12Eb3SUOS59TwwCkNGLjOWcsHWap+CjPm8oa4VajBgaWmZ6dmUu599zK1rGzQ//D4zCYaG4dIyy0trHOwfcf/xI6ZNjZSCbg5KV8yUYKOTkzu/ZWMMoi45PDxkTEnRyxisLTPsDZnlHWq5xsk8QxsZcphICbmIRzt6TxmJwGhoEEFIy1AIMUPNJ8xnEzqby0y23qTazTk5PmKwfB1dzRntPcLMzti4vsUb777P8vJ19p8+Y/f5U+4+uk9VSFbXhkwOTznbH/HRRx/z+ntvsdbPGOczrvXHGFUxm44Yn5ywstLj9Tdfpdcb0jQwH884Pjpkf3fMJ3e/pGTCd9e3d2l31mJQjAMWQdnP4G2IF6ZNIuxb44PBK9NNdJf3hgfhE0hFfBHy10Bk1I13wzdUWlI2gnktmDfSKqewR1Z5WDeNO46PJOQtVJgqLX7Hq43cW/e+1jX+Gwncv3uXvrbuy2S31rNLBK/L2kpd09J7idbj64e+wIP8LVwvWZ7WL7FQpl0u9utl9S/WdXGbcXQXtblQpF2ZOF/ssmcXXZe2d1nBv43r6yft69t0fFDwmBGXvLI4Z6b9/Vx5YRJosyfMzBtrhhj2csazOapRNI2im0v6ubUtd6QIMfASa+CTAndUnnGneiTGnODSaFziOchyiZ4csPfVhzSzY1RTh+e2qE3i2+l0MKamUZrxZEqjE/43MI8RKTZNE/hdIQRFlpFnPtOTAW0oMsnG6jLDXjd0LssyynLKfD5hf++QTi65eW0HrW1egKZpQAjm85Knz3fRRtDv98j8sYBaI3SDMIpMGDqZRErB3t4uJyenaGXIswKjDFJ2WFq/yqQpMFowV9pJGRqJIpeGDG3lDuPvOk43g1xCToNp5lCOqWdj6qyHXruGKoaUjaGDojsfUR0/hdkZV65dY/v2m3TWt2nI2X/yiF/9lz9nPhmxs3GdajLi2bPnfPHpHa5dfY2dzVXbD6HJhEI0c5q6ZHljg8HSCr3BkDzPMXVNOZ/x6PFz/uIv/4qlpeGlYPw1Fn1jhSdNdNlwEO1daS2xtBkhtWdGjbZJq4wTdE0EPm1ibFvQWoCz0FvAyUR0K/ba8FIJZo2Nx2+UQDVuvwif7M8KTL3cUCt71rUUklxqauNSkgkPmJF4t3CZE26DyzQx1iYQZC8AEe2fLYc14xGzy6ZP20IK2Gz8RKWBdsKdFPaEAiVwCciEFxujZwC2fzb5l40XQSQWAv+e248S0UpWJoiBGMFKarww6URVH18knF3aC25Y4UsngmoUNjVR0BROmI7CqXSMvIeg+F5k2LziwDrjW/Sn/AwGaTMVAO1ficY7B1gGJ7o4G+PdrqNgGt3Q2/3xlxTtzPwilPQu+dEB37uae7WJn0fwFnbLcHiFjk+CZ7xyRAjnTp7gTkTkXdx828qj8K6Fhc3U60QkiNrg3KU8rxN4J+tKjxO2A+FK4MW4UWESzxPa/K5NcrfAhCRrntKB1M3ffxEQlFWB6BmbiM/f87DqF9bDvq86pa0xJk7gFYBeORbg3ziYdZNWqoL9qWSjP6NXzcmynFHTRcgxQzFDicIlvrG4rNKCUmfkmXXh72SaRkkaA7UQZDbRR3uObKwKp8/uMT55Ri4qe/yMEFZxgLahCUaxtDrg2vYWv/nwCx7vHlrCq7Q9bUQIpHSBDkaidcNkajO+gkHKnOWVZfoyp6xKOt2cXibp0tAb9KmMTRIjEQz6Q4QR7D57xPa1TSQd/vNffMzVG9vITsFwZY3D/SN++9HH/ObD37I2HNDREoVmqZDMK4GShqKQdDsS0WjWN9d58vGvWNu5TSYMS/1V5qenVGLA3KxyPCmsi6HDR4V0SlFhhSApIi7VLllZJg2Zgb4s6XfnTMYTGHah06PsbDPcWubw6DHd4TbF7IjyZJ/V7SVuv/0eneEVRodn7D28zwcffsqHD54iOz3qWcXDr+5jjsf84Ac3+P57b/K4VPSLCX0z5WB3j739Z2xvD7iytk6e96lKTV3XTE4nHB9P+PSz+3xx/x7/4F/+hO+ub+9S/qjJINgndCS55xPuKe3PPHY8ijatsENbtt2Gp2nCJUfxJ7d4HOeToNZaUDlX/UoJ6sbiB6WFjcc38Tg9764fFAtErBmb98pvgu4i4Mu0f2bxPVvIhxcG44PDl6mFvyVsBVoZqlj8snAtUsl2+0nNBHd9zs+vLxfpv0hmIumpMeHu5VfqSSjS26Ef9nNxti6v7+LnobeXvPPyXr68zW/er9+lrsvLfYO6XtpAul7fvB8prfZvm7B+ZqH0N6np5b07/x4JrFzQikjvnYcDcdGGNIsFLq7fG+GC3TDwhfahxTnSxuk3ikFHMugYlG4op1O6gw6DzJ2uI124rvMelNob+gRCO884t+fdCaBx7h0zWEg4ePEV08PHGD234X8LnR4M+hRFwWwyZTydcTqeBTwaOfE429plybfjE86in5N570Nj+zjodVge9pDShh8ImdHr9cIR4ptbG/S6XZ4+fc7a6gpaK05PT9HGcHR8woOHT0FIW15rtDPmZkLQySXDXsHSoEepJXfu3KPT6SCFJHOZvrvdZfL+GpNSgpFIbUMco6HSkElBjj/aV0Y4zaCQDX1ZgSlR9YR5VVMWm+QrO4gsR5UVTVVTj04oZmdsrK2yeX2H3nAN0yiePX7If/w3/wsvnjyl1xugFPz2Nx9zNJ6ysb7DG99/m+5S1+aFMjX1fMp8fkouBcsrG/R6A7IsRzWa+bzkxd4B/+E//wV5nvN3/viXi1AdrpcK+rVz3ff253A5SmEJqnHa7YV4OLzrqgjAoY2widiMJWvKOA268K6a1tpdSOver7GW8VkjOKsks1IyrzIb/yqcCzRWi5ULqyBAOJdQoBH2yIrU9Tvp/jn84vdy9DJLqbwTavzGCZorL9Q4rV8QJk2CHOK06fBNuqRmMcYaQTg+LkVYQlgtnrd0Cjdvvv0Y0E+SE961J+w9gXGMNhR4l3/imBK3Hy9QuYO8wtzg7vuYoDR60b9jkmf+d0sF4FxjTDAdxwUwrv+235HbSfMQIGK9BHUAwZrvre8exhDeohwVJSq0aP960dYnI2xDeytC00MBi27ufjzCr3EyPD8fds+438a7UtnCi3MHXgHg1tPzLH4dhBOMXCMm6bcV+CO8xhMYTICJoMRIvGpE0kbMX2DC2vh/cf79QP3s+nHHfZMaW4xTZPmElR6eQxhD2HcRrqWDFy/wx36TJEFM5iaEBQkHSyY89EoP30+D5GDe57ViwkDUzHTBpO5Qa+h3KmbKhyG48di093Ry6EmN0oKyMUwbmxvE51sQrcWyyV5Onn9GJzeoqrFJJY1CiAyMxghJnkluvXqbzz/8iPHZEVtLPcazMnrHCJAys2e6axvElGfSedBYF36R5fQHQ5uATBlyFJvDAYXMHO7N6Pclm9evsPvsKcOVPv3lDX77q4/YH53y+vAVlvtLTM+mvHj6lH4GP3njdXbPTikyiVKC/jCjntcoZSiKgmG3gzizrnHZ6T5P914wn4+ZnAqapqF75TYqW2VaOxWNg7d5okzzhFS4zWEVxG7MGJa7JYWZcjIr6S73aeQSjVlCdZfpkmP0FDU9Ietn3Pz+9+kNN5kdn/L0zud88cXnfPDpl6z0Vzk8OaOeNEzWDLd3tnj7rdcwpcHkPVb7hvnolLPJiK2dLXa21+jmfZvwcDJiOpszrRsePTzk//vv/4LNV5d4/0fv8t317V2N9ns7SMse+QZ85IVpZYw7+YcQc+qfaf96ME54Wp/gCteAZ9J9qJg2Lp5WCcpGMm9iJn0fh+9zb9g8E959H9/ZKOwnw0gvsyhQpFfKi8TCYQ9Fwb5NMBL2p1WXb8VOZeQdLmn4a67FMoKYE+Z8uRaVTRT59qNd5qI+vbxHyRtmoWTKd7RJ/eVXSpzOvScuuBfLteY+pVeL639BvzxLGYW183UlbOc3qutl5dIyixN8uSj7O1wXwvbX1NWa3kVPRXFBd+Odc80JcWFrwj37Rh25cH6if+9FLQhffbCOJRyUu6+QVKphpQvDjmFWKlSpoCPo5S6JtHDH+wpAC4R0bTpB2vM3jU5ygWBPcULY03oyU3L64gG6HtMoe869LWUt4VIKBoM+SjujqdJUtUJp7YzwIvCcAf9oaBqXNNhAnucUuT2iWGmFVooilywPe3SLHNXUaG2QSZb9LJPUVc0Xn9/h4eOn3L79CjKTNglh0aHbH6CM9QBAa7RQIfxXSBtW2c8ly70OfVlQz2fMJhPyTNLpZCilkcNVmmyJWSXJkEit7HK4RKlGGqTIyIRGajDaB+kaZG7oZxrZrcjNlKaeUSqBWtpE9tcRCKrZhNnshGJ0yFoGS6tr0FmiqhpODx/zF//+37H3/Dkbmxs8e3HAwfGYbu+Ya7dvc+Ot79NdGiAKQS4bRN1QlSNyYVheWabX65JLgW5qppMpTx4/5jcff8ade/f5u3/6J7z51huXQu7Xuu6nDibghFdPFtzG8EK9MS5LsheCtHDWYhM02sKAMZLG2DOmc6c1r7ShVtYq3y8s0DbGTv7hXHI8ydGNxARjbU4QvIw9dk9KEVzvQWBcnD5uoUjcyr3AI1vYK8b+BgLjBQQRt3Kcj0iMtHAWzkSgsDOV2iB9lt6ICuL54QnBjt2Jrq5CWME7YAxb2hiCyTIoFR0esP32DAHkARVFATXHHTOXWpVdv2ISPROiy03ibSGEy2SfhHQYREwGmDIexrr4+7n0YRmBOXGdlCZRDAjI/FoiYqZ310nthMPAIgRliy9k381oC8wht0CLeoKQboUD8xeBJQhUbqKNiSTHw1asMioaArwkiplIfKLV2gvQEaIi44bAeVeYiGB9O35NWq2ngyNoS/1iXFgqiQcIyp0EVoNCwCvL/G8RmcTUC8G342OxPQHyyq2gXkj2YHg1zJH3MCFR9gQ1SDvZoh+V85CwxzTae/64qtQrxgUVcTAf8oOVEzp6wlQMaFTOzOQsdWrOSoUWVl2gJXQzQSadMskzDFIjpaBwuKo2BGWRM+ajqznNdI/cnTEq8gyhNcYotBDILGNtfYVHX91jPjvmZ+//kH/97z6jauwxLcYYjNJkWYfOsEc1mVIrHTaY0QYhJN1OgRCSWV3RFYLlTsHasEfeKJSpUUjUoIPGMOh32Nm5zvNnL/jzv/g1eSHZurJGL8/Zf7ELmeL77/+I48O/RE6m1LVm2BOUjbZu9cYg8ox+v4uQku5an6GC0fSYwcqQjavbnDzfo1m+AqIfT1sJACcjcIft47NvEAEIQ1/OkbpifDZByZrT3iqKHkZmGNPDTA4woubGrWvkSnG695RnDx9y74u7PDs44l/9kz/g8NmU//m/fMBwM+ONt2/x3ltvY1SX/YMx2VaHLhWqblheXmJ7e4VCZqhKMyvHHJ+MuPPwCc/3XnD37hMmzPkf//k/4ZUrV/nu+vYurSOeC/gjCM1R/eqND9pb8MEJ+A5/unfSpHg6lGt7Cnj8rI1N2tto3LF51k2/1jKc6OOVBosWfJ206b0cYwhB+zJ8A3kj8GQiZUZgod9pnZc9Y/GeaPMRl18XtXBZTz3WTnqREPJ0zCZ5M/0QiwP92p4l5S8ax8vu+aZ/1/doz2OryEveExfcWyyX3v6vretry12y7l83HeaS+63fnp+57PmFHTMLZQUXlTr3/KJ1+SZ9/Jp7l3SrtXcu3zpxAsKecMYprW1Os0wK+oVAVQpTK0yd0+11rOegD18i8klSWst+Bs5b2LaujAgGO2mk5W9lRjM9ZnJ6gFYN2gvvrj7pjCeDwYBGNaFvSiknD+Iibg0+95QUEm00jWrsiKQgyyRFniGlPfnMGEOvU7Ay7JNJUMqeM58XHbLMpi7WWnN2Nubzz+/Q7/VYX1+1yfyyDr3+ACNzBv0B4GUQE3hzIezx6oWALorl/oCsl3F4OsMYyzupumGwvImSA+pGIiTWqwCBUVYOsooMQ0aG1CZ4nVpWRJADQlVkpmQyLxmrAtXbQBR9jFaUZY04O+JqplkeLlN0e9Bodp8+5q//8q+ZjKf84d/5Y57vHvDpnUfsXNniZ3/8h+y88gqNyZlUFdLk5Ag6Oaz0lul0JUUhyaWgqmoODw74+KNP2N075KtHz4GcGzdvvhTqXiroe8DVJrFgpkRFWKD05FBpA1KGDNUpibHu+5YpV1jr/bwRaGVjP7XTfiMMcwNa2mzVdSOZlpKystmVve3QuA7YWHQDGdRKkklDraTVaGHrC2F23tTqLume24+24GFwAlKwGprW/k6NzDEswNdJFMgSKhqFHRGe+xkKR6m5efXsRiCTob3ovu9jdsPWdxZg6YAfoZ1VPmLWIJQ5JtpaAtpji+XcvDirqiS6/ac4TuJiIUUUlEnqCXMiRBI/7SwrCa8i3dwEodeNQ7uKhKvfW3LPEeKU71kgJt5K4sfh79k1MUEotetjQin7moXlEMMUHjihN2EtdDJnfq0EoeJEmHfJ57wVM6yGZwojEvOzY5xEFDTHFxCc2OtIcSLjGvu5MG2RQsUbLl4+qp58LH1o0vVNmoT2JZXL8On3VrQZCfdEOSu/8fNr0lmNXjJeERaTIMoQ8uJHmyWdCAoIE6Y+dNJ7qmQIpnWfeWO4ulRSVg15Zl36l7IZvcxQGRP6oqVw7vhueRwyzJzGy2DzbDTGKc8wFFIhmxGmOqas5gitwpF6uH1jBAz6Hcr5Me/+6Cfc/WqX/dMJRmZxkxhFWTeIToduv48eTRiNRihj1V9SSowQVKqmbho2Bl1W+5Jut2O11aoGmdl9IWFj+yqTyYSPfvUBv/nwE/7kH/ySjZ2rzMczGjPn9uu3mR7O+OzLe9y4ukkhDKZqmGhDk2cooVEY8swm1+vlEvo5y90utdHoScnx/h7X//ANjMjjpvSwYtrwaPxipd+FoECxUsygqhnPS8ywyzTfRIkCgOH2NU7v/Tlyu2Qw7FOfnPDs4S5f3rnLPDf8s//+D1jK1rh/5yNmdcl733ubN197g85wk+npnJky5EVBOTljY61gYIYIrdACqrri+HjM3c8f8sVXd6kaRVf0uXHzOld3rjCfVHx3fXuX0nhqhqPCCX70d6IALIQLRApK5kinzYKgabAWM6UD/xhQaOP2tD0CS1KrzAn4/rg8/44IMqxJPu0943CGiPfdFfHz5ddlskX63LS+XPDsknbO3bucX7zk4WIL50u3veQWifNFNSVMUyj38lk437Ovm7VLrpeO/7vr97/EhXMrzn1Z/HEx34KI+0gswtNFhUXr1wVtXtIv/+OijeO/tmDYeCY+gvHi0EOIYuy7IaN2ecx6maDKbLIzrWoyCkQmbZy845+DoI9wJxPFUCO/Vbw3p3HCsBRQz0fU5cQK28YEHCUEIbx5OOhhXHx0WdXMyyZY6+1U+rALi8+UUmitgndAlmeILJgKrTV/0KXfyUFrjFI2h5vogoDZbIpqFLu7e5yenfHaq6/Q7XSQMnNZ9yVVWTObz1keDqxxI/MGLNsfic37k5marrRhDlIYRCZRUjKpGtY2rjMXA2olEKZGaI0w0iZoNz4htDPSKBcuak37CJlhlCJTJaoaM55MmOoC2V+lU9jExI0zCA17OYN+H2Hg4Rd3+PWvfkPR6/PLP/oDllZX+PzuA8q65o133ub6q69QdLscn4w5OjhlY3OL3mCLXregyAVZZldSazg7HfPxh7/l0aPHrG9u0uvaUIj19VWE9Bz3+evlFn03gV6A8YKS8IDrmOcssxocYURIOlMqhTTWpR7hktcIHKBC7iBRacO8tplrhLGxrlpZZYBSgrmSTKsMrRd0woFgWlAqnLtn1ViinFrNhcMIngHwfGQqSiOsgCaTRlICbII46ImWCbhDkBxZ15ZzESJkw7ACCI7ohzgdETZNKmz6mhcFMHuGpkta5W5q4c5WT1zIfGb/1D0wcz2PZ1iLUJcXM/36mkSoi54MkVxLgUsU5mDBOMusIMTQS1yIgYlCsvZMGIYc60afYULCwMiy+TmJGDZz89MW8KPbZvvMdRMIgSB1N1+0DbgxiliPRXrpSvh1iP3EeDfS2KYXCJGmDQOeGHmWUnhBkASG4jx7ZtTDVoAZV8LDpfQMpCCBhzajtAjj6dOo/CC0kWrLoyDm6mrxXiLsI/8sjCFujxAfH9ton5qQtfahn2cLadL1wMOndzDzWRCk8aEIJtTrkT7CJ3C08fopbGS+HgFzlTM3HdY6Uw5NA1IwbXKu9SGvahqRYYxwSgSD0IZGuGM8fUYDacgdwRRaurNda7Sx8XC6OUHNZ+AIoTGQicxmcTUa0GRG8dY73+P5k10+/PQe49ncatCVwwrCYLRCVTXF8hL1vKRpKpuBX0OnKCgnExokg27BtdUeq4McSU6N1eQLYzDKMFhapp7P+eruHZa6Ge+//TqbVzbpdLqMjk/YuX6DTHR4eP9Lnu/t8trNLTIBubD4vJvZzP7SCOblFN00jEZzVjqSW1c3OXq2hxIa3e+x/coPbZSVEck6m7DW7d3oFbgRZ3eyhuV8zvx0zGQ6QUhJc+UqXrOiO13W19bYWnkG85Ldp8/Y3dsjLwR/+gc/YmNlm9Gx4mw0p9vJ+f4br7KyeRNTKcajGWe6R9906XYlg1yxVHSZjieMmHO0d8r9+084ODvghz94je3Nq3x1Zx+e3ENqzfPdfX7Cd9e3dWmtnXdS5EEWL4vSnCVLeguVCQhKG410IYYYgdAeN1kLlY+tt5Z4l1VfO+u98p/Wu07rGLOf0o6UL0mZAuPx9UV9vuRafNamXZfcvKBQxPeLNMvfu6gXCy+89DpfaLFL6YM2j9SmWSLRgrSGETp+0Qj+9i9xwbeXjOqC59+8jZe99buU+bbqegm0XNzSJTB0fg9f4G7/kqv9fpsvvwhBXFZ3C/79+4uDv2TyfJ0RJ4l22G6L71rg6dOeC0GtrEKzm0kKZ3HGCc8+xDfFIaHXidu+VwAIHF+OsclBhRVay3qOVrXNf2bdlWy92noudqSk1+uidY0xhllZ2aP1UstcmAoDPheKO1pPCImUGXWjwFiX+kFRsNzv2LBrbT0ZjTEURY7MMqqqoq5rqmpOv9thc2ONTrdDVuTIrIOQkv3DI0bjKWvLQ3TTRIOp74sxGKWgUVDXdPqw1O1QNTYMYtJ0Wdp5k7kpnGwgwKf79vJhgr+1lyG19YgwjUZIjdKaqtbMZoqGAd2iH+TjQb/HUjNAmjOEMRzvH3H3y3tsbF7hBz96l7WtdQ5PTjg8PqXbH/Lq7VfodQpAMzk7pZCSrY1Nim7HhmZKgzEapRqODva5d+cuWSb5yfs/Zri8jBE5d+89xJ5AoLnsermgj2gBtf0qI7z7uG4hrEAnIrOdaUEmbUyIENDYwFSMOyNPGkEuQAnpktdIhLBW/EZL5rV1va+xLv5+E7eFDoEQEoygstn8nPXXlQqWPS9EeBFiYZP48VxIAc1COYdMIq8a3bITt7+IUFx8n+M1EjtxqN+PKhN+Ti2y0rhQCeMTztl4FSGShHoOAfij6FIxTGOtjSEOlug2HWY0HbOgJfQbYkI3P49+fbWI1lV/CkNwE8IhFb9pHKKL+Qn8fLuQgAQhe6UJQbsWZ8tnWPcCd+bWwSdiU8Yf02X/+PYiMnRjNsnYnRulV1bg+m6EaAvobp1bVnERhV2Lc2SLSUn1a977Ik61ceuQxLe7tQm5EUghJSqDrFDbhuKLaJL/lzqyeC8JQVp3WyEQM/xDUL4Ikr46y3uUz9rbwsFSogAO8+mz6kfG2NXq9qb/61Ybu44u/syvm4s3izOkw18fFhKZbNvveCSmS6boTPyNzjhthtzqzujUFY3ooUwHrTWFaJhpDyf2LBwpIDfQCHtsJQK0FsF9zB7BoulJm/guk4YzVaFNQyZjzhINSJmDrsmznPWNDV48fcaXX97hvTeucnQ452RWYYTGHykmNNRlyYkATEOeZdadWUhkllPP5ygBN69ucmUpd7H5gMwQeUFmNN1Bh1xKdp88Ic8N33vvXX77+SO6vR66qVhdG9Iv+owPT/jsw89QUpAhKYREaUO3sMSnMvZYm7PxnNIYTkcTlrdX2Nzc4ErZMJ6e0d96layzGYEjgbi25wtu3VMG337vZ3O6TDk9HdHfGDJSQ+huWSnO1XRlq8+ymHJyeMSLgwPoGH7+/vts79ymmgt2T5/y4OyI629f5b1336OQXc4mJ3z+9JDOu/+E5f4KK/1TuhLmVclkPufhk2fUVcnyape3f/hzVtfWmR3NeHj3GGh49nyf6cGY/4Hvrm/rssmBHe70+MCHkgF+w1tGLeEZAu7w6sOILwJ9SvC2jbO3fIhNumctbcr9C675tIX8YAhIcGMaOhB7eP473+A+LPIsHtGeL+NnQoS/X3e192e7J9/k/d/nuph2/f41/e1eKTa6uP7/up7/t5rV/31cF81NG55+n/FH2L68TbHw++tailAozj9oMTkLSotLcj+IliAfd6DlGU14X4T/QEgQHueohqVCUGRYmclox2MnDGDCK5mAiCKdDSG/gZ+KSaa9UKh9CJGXDYwV2POiQ6eTUVczNFA1yipGRTyc2Ic7+fr9u2CT2WWZpKxKlIDt9RWurPbpuFN6cD2XQtDtdJz3saDf67GyvES3kBR5DjInyzsgMqqq4dGjJ+imoZtLJIrMhVXaPG8G3dSopnHnyUu2tq/QXVrmaPKM0aQhW32V/vYb1OQU2Ph+7z1rpJPfjP30rpY2GZ908k5FX9QUoqau50zmNQw3KTvLdIygyGz+gE5RwKzh4PkLnjx5xLVXX+eN732P3rBPU844PTnj9GTC2to6GxvrCCmoy4qHDx7y9g9/Qt6x3oraaHStmM1GHB7scXJ0yNbWJisbmxgEdTVneblHlhmePHnE5ub6pTB+ua0fm1m2NNhzYY2NIVFGUBuojc9qK1DanuWoDCFWPxeSIrNnKBrpwFlYllsIm3W5W0C3AKQVbuZKMmvsMRNzLSiVTQBlJQMZN0Wy17wVW2vpmGiXYR/vpheDCETYXJ75T7SHwglASeUi2Ze+9bjHIwIIwI9j+LHCq3ebN7FHQahLN7l0wqvCxBh4EjdvJ3gaQUii559JDHkYoLXu+zqs+/ti/LYXxNtu5d4t3t4U4X2Ek3FEIgAKDzxW2JZuibzrUGCxRGzTt+b5r3Qu3RNSguqP04s5DFKGjmDtjdYAQob06Bngnou2QkMIHzdu2vW69zPh6he04AHj2zWuHRNgIcBlClAJfMVqnFLHF0uJh7BQZNx64PvtEFnwpolvtciTh1MZAdq2l8Cz1/z6dUzzA4T23O/CxyQFzw6fU8CghLHEKcCRCe9ZYd/gBW4feuHXta0siWvt//iZ8wqglpAv4nhTWMoW4QWrMMoCnFi4z1x5r/bOBOxNOhQdQ1fUFJlGmQyTdSioHN6TwcrnG/YMvtYCpSSVi9k1PikXAiFdH4SgUQpZ5C6JpkFrhW4qtGqQGfQ6kvv3v+LdH75B0V1KEo8BQpJluZ0rNLpp0LWmrGqrAMDlJ3Fv9LtdCgQZNpusFpLGGCoUqzsbzMYjRKZ5463vcXBwyoujM8bTilFdsbp5hXpWsr93wMnxIcvDrg0LkIZOB3pdSWYMk9Iwn5VoDXXT0JOKVSHZur7NoDGcHJ7SvfIaUnTDikQ8meA12sKSXWfrnSQMrOVjsnrG8dExg8EAtXwTbfphv3RMxaoYwfSEvf0DTMfwg5//jOuv/xTdXeVk2vDRb+6wNzrjyrVNZJ4zPRvx+Uef8sEnn1DqiuWuolc0lGXNi+e7fHH3HsrULC/1eeeHb7CzfR0ayWzasHt8xOH+AV9++imHp3t8d317lz06ysfWm/hPGxePH4VsHwOfwlcI+UsxaeK15pV1AruHKy2YN5k9Nk9lNFqinLdgKgTGv99EkPfYMn4m1CP5d/m1QK7a+N0/E+37F9X6tS0F/LpQ90t79w3KpXRVXFBu4dnlz+OahQH/blP53+YSL/350rU49098gzL/NXVdMGXfpK4L53URSC6otNWXC+DzsrrTalp9FwvfX9ZmUvdF403rs5dJ6jWcA7Nz7ZlznRQX/fPveu4oceNvNFSNIcsycpczKmStJwr91ljgk4z6XCQmCv2Y+AmBeZHWFwmI+UvCaJ13Ya/XQWY2iZ5wlvn0ZL2WctMQ8K9XHAgpkFIym5XMZjMG/Q6rS4Mg53h5IJOCbs/yF1mW0+v30down5cob7jV9sSbs9GYp89egIFekbuj+zKkcMevK01VVsxmFcfjOWXZcGVjnds3rzLsFpTzhqWNm+T95cArhrCGZBasbBClM4kz4LgwsK5s6GUNzewUIQxFfxklumgjUFqihT2CWZcznj16zNLKOu/86Ccsb22Td/tUjebxwyfopubqlQ0Ggx4YwaMHT7h75ysG/aH1jDCapq4ZnR6z/+I5qlHcfOU2Ozdu0e32yPMMbQxnZyPGozGPHz3i5Oj4/MZx10st+tPaIVGvJQoMt9WL51lMeCUwIVGecTOmwbl7xDgQCyh2ErtSkHWs6+uktAsmBcxqCFnwfDI9qWMcXHLpxHfYu/QKCG67i9TWjcS+e/5BEIAMziLtsKMn575+f/6zLycIon7L8hqrT6wHOHd5O1FWs+QlULyVOGbIEG6G/aevAzeXJO352dHYGGQr5KbCmNVUReu4F4s9WEfGxY88Mkh4o2hwIxK4RIhGBiHfHw8YKjERwbX72HYYDOMUQOIdkSprQjlhkYxXeJj0ZhIfH3QXvhZfRLSzx/tkg5CEPDj3Iok7FNnPjNMe6PB+CHgIbQRXcW/R8VgfHyDhWDzhywlHGPxRiq5k2AKpld+15SYoxM5fIAzTIlyurcABLq61X2Pblk7GbGEposRwuoOPsQ+VeGWA7dPiWFIY8HAXYvONveePjwz9d/9Ma3wJOfaIOeTJ8GjapeFL9nDwVPFzJwxT1aXSgoGcUzOk0Rlnc0kmFXVlaBJPDYMMx781WlCZzCbpSsBdGoE2EmV0iBET2qDKGl3XzhpoMNIS2+vXt9l9+pS33nwdmQ34/KsvqBt7ZKTMMmpl0EbbhDxVg8QwLedUTRXGlXUKlDbkUrK5OmTYTKlqMI3Nvm8EaCnodHrMpiNu3L6NqSWffPIF69eu8MqN1+jlQ+rKsLd3wPMXz3jzrVd5dLBHJ8swDp83StMIEE3DbDKhmk8plaLowetXV8m7OYPVJdRBl8HGDTLZiUBoYkLNYNhwSiyPC/3+QBgkmtVijmgqqkYzn5RM17awB/PFfV3oOeOTI2pd8vr33mT79jvossvZ3iOePHjI3tkpK1urSA0nu7vM90c8fvSQt29ucjM7Zi3v0MxLTg4OqWYNq0tLXH/tBkv9IQJJOZ1zcnTM8+cHfHn3HofjI763eo0/eP+nfHd9e1epbMIlH2sqU4V2olRuM6MiuGHqlJZ59OH4GU+fpMAqzbTHRIlHXqBG7rPlnh+v6Bxg2vg5eeh5hEXcnHSr/SwgTu9BJxw/1fZYS/sSyEKwoi0W8/st/vWFWpRZmIX3Uo+yc8P/ZlcycYFemeTRwpja83R5i20ew5BO/eLcXNyp2NLi2nzj61x/uXSNvkldl15/G3X9Xou38N55Ju7c1Yanha+ivWrnqhHxTtv/8fI2L+xGcjO2Fts254qJhV4t1LU4d55JIRmvK9eCw6R87IPdgw0Zs6YBYc+gBxkSfWK8V5HESBFCjRpj3Ikfwh1znuQNWbBiaQwKq/j3CgIC72nNWP1eNxxJjYHJZG6z8zvLivT8GAac4kEb7RQDgrzIEVJSNzVZIRn2uxR5hskkeZaRuXPukYJev0/R62N0Q91onj59ztWdHa7ubGO0ppzZY/2q+ZwMXJx/Ri5BOg8DozRaacqyYjydM5k17Gx3WR726PUKrq2t8Pn9MwarW2RZRqabAAOeI/TKVumYTE8DpDMWKySZkHSoyeoxajZFiQ6mv4rodBHS+ZVKSWZqVDmj1x/wyutvMli28fNNXXHn8zt8dfcrJIb1lSG5gNHpGV988QWvvHKLwaCLNoqqqqjmM2aTEcPhkOXVVfKig8EmMjTA2dmYz778CrKcza0t1re2LoJU4GsE/bO5t3A7QVFAhg4AmzcgM2tNy6Wxk29M8CBpjHFurYAxweKPI5re/XuQQ4aibqx7qASEztyRe5rGHXGgHdFMxRPhRaqEoMVtawE4ZCV3VqKU0Kd7z9vbDSZxV49PY/l0lzvBD58oMDYgRMxt4C3Q0Z4fpTT7jrPuewEO4VzF7VnSvj+ShFnBLorBOzqbVmyQNmnvY9iDCAnQfB2EifUg7zO1x7aMQxqBQ/eTTnq2bxQOCdxMytTIZOLjLCZ/jY3bju7jnjESyS8nDrgKQgIS1ze//skKIZLWRGtd28yBdgKNdAyi10ISpki0MsAT/lqkGo8UdDMkIokTrd77PtsrC9bv6AVgkxMm4SqhxzG2WXhYwSSWdxEULSHTQEIsk2paLj2BF/W1mDg3KmH22rMqopIF0ELjsz54YTqF/QBDyYBE8s974ng22yCDe5V3+7d9i8csCj8DTkEjk5kSot3jsGrC0TdhaHTBXBV05JxaC+a64KjssJOfUVaaUhbkbidoDEpLamUJbq2t5S9N2lkYf7xNhskMFTYbvj33FYzRaDRC2/nv5AUra6ssLy/xn//sb9jdPaLRNZChGoXUhsYYik6GyAyNS6LjPW8AiixHGEOWSbpCM68aRNHDCAnaIIyiM+jSCMX29hU6osPDRw95vH/AP/hX/4Kfv/tjznZ3Odp9xuH+Lu/++Ad8+pefcHVpSD/LKTLriaUaTW0E01rx/OiMw/GcptYUnYKltSVePHtGp5nBvGSwfA2XCzjucCHwRwFFEIg5WjwzAoZ+VjKUY+r5FFNItMlQxWaALzBIrahPjzDVnJ1b19i59jr1XFGeHfDs/iP+6lcf8/DomCwX9ETG3lePOdo74PrrG7z+2m2KvsJUp0yqOU1mWL62xhsbm6AEdT1HqYb5vKSaN9z57DH3957yx3/6Pf7+H/8x17du8N317V1nZYb3upPCkEsTeA8pPQOaIrFIV4xjlH2Ea7Ty+38pQ+DOgc68oG+P6lU6Hs3qtY4JiT13icUvpo1jzwsQCd664FuImwuVLTSW0Nqv6dE5igLRk9AWWKSQi99MuOPrinNxfmSLV0sZvdDhdhAPEWG3Kri8qYW0Rgl9JsDF+RGdn7WXLO3vdgWCs3AvdQtvM6LJeyZ5T1zc3b+NulKW5nep66K1aV0Li7H449wmSX9eVK9of11cpDZrdvF7i/1aHOfXXot9jz/PCfNJ9el02c/Ij+J+1yazx/XKjE6RgTEu6adlWBptE5kbA0jnUWhswlAv7GsjE28mQWpwUUZgROY8nww2zXzmlAaWL+n3e/gE3XWjGE9nNtG6wVm30xl03gVaoZRCCkFRFMHDcGNlmbXlAcI0waVfZt54m9EfDOl0ezR1xeHBC54+f84//sf/hGs3bnB2esJsfIaQguGgz81rW8ynE3KZ4FFtUErRlDXjyYzxtKRSiuXlIb1CIus5r25vsNQ7YDBctgpdoxD4kNAoM6W4wvOUAoerZEa/kAyZIucnlNMJE7ZoBleg0wFZIY2hIyqyekRmKnauXWNlY9PSpKbis9/8DX/2H/8Dk2kJxh6TvL+7y8NHj+h0O7z/i5+ijEKVFfP5DK0Vq6trDJeGZJlNSmhzwmjGB4f8+m8+5sWLA/75v/hn/PCH36Pb610KsS8V9E9nWdCaG0fUCgSd3JBJQwUusyHu/EVr6ZOZS8SGjXXzE2fzSliEp0yCzoX1DgB7dqFUkjw3dIyhIwSTGurGC0AiiYVPJBG3YVILd1gwEzGZSQWvBOm1sou7P5oLiE5y+cR99mhJCzA+s6/AxdiHOqMlwW9AT1hNAmQx3tuyx0GISWqRxiYEi7JFzCTv6/dWY6/Rk0H8STSiImq8LbB7d0dvZUsjGj22SoVUmeBjHRQTVkB0Nn/h2fy2pcWvgUz7Q4zfbmmAA30SyXsEXscQ4VO6nennOtAk4eYkgYVFIbClvxW+tZRQhVEFRi+GCUSHdP+GF7KDu/+5+kI1MR/BAucoWmsWFQm2O3E+/GkF/pkkCvsm6WeKyLxSK46VmFTSzSmhPiJsmfgs9C/0X0ZvhqRenycg3Q0xRwLO/TJVVMlzcyaNCMo+6XJbeG2Po3vtfrVcbHEjdqETwkRipnPOVJ+tzoT7p4a5yDmix421EapuOGGJYd6Qe+2uxmbfduFCniT400lqDSUSKQyZMpS6awV83aCNp9JOeSrtGbdXrmzx21//iqtbPXriGn/56QMUmm63sHF6ZcV8OkUbZYm/ihkobIxahswyruxs8Nqrr/L0N79ByB5FYfFyow1ZlpPLgv5gmbOTMz7+4DccnxyRdXOOjg4oxydMxqds3thh0F/i6PiIQSdHYehJz2gYaq2YljV1OcdIQ6MU11+5hmo0TXPKH/7sJrNZzXzzlQSORYCdluLKWyiJShwPbwNZ0hMlVVmijKK7vIMsVkIOCykEhVCIZspgvc+V69dpFMyePeHpVw/5D//lNxxMKooso2pqRqcnHOQVOzurbG9tQ2cJLSSj42N293a59cYO64MlhJY0VUlVlShtODkecefBUz6+f4ef/tHb/Kt/+U+5sraNqS9PfvPd9bd/nZUZ3gNEYGwOIAGZtEK/FDY+1MeiWoWAfTfgqURO9nmoPN4MjLHHtcK6lxbuOA9PG332EBwsRwHStRXwZnwvgnaKh7+xlBIuT6/TeoPaNxlrfJaUv6TmeF8sCCoXlG5rgxP0LF7W7VZjaT9aGD5534/rfDtpW4aF1xa6LWKDxDU4Vy+0id1iH5KhLSp2Ur11bHdBiFz8uvh5af9fUu5/r3Wde9zagOGJOHfPr88F63CuXDLpC3stMIWXdHBxb57v79ff+7oyl03jy6fZxb0jmTQZc2XY6HUQYkrVWHf+biGoNVQK6+VpXLi0Fu7IW2/llwFOPVcqIRhB0tBJk7j5e6/ibrdDo5TDjc54IrxBVdiy2ji5xwrbTa0xOspKQkqW+z1u7GzSkaCqBps5XqHdsX3dXo9Or2c9EZTh6OiY6WQKQFWV1GUJxpBnOVpAJ89QmcBoZfOVuVh63TRMpyVHJ2OmlQIpWFtfBWMYn52xvXGVX/zsZ8jbryB8aLP30vW8bJAhRZBxrCwhMSKziWD1lI4s0fXcenD21mk66yhR2GTNRmGaBlGO6WaGpfV1im6Hejrmzme/5c/+7b+Bes7K8oDRdM7p8SGff/oJa5vrvPuTdxmuLtlEiVqTS+gNlxkuLSOzDCmt4VY1mvl0wsP7D/j88y/58Y9/xM9/9mOKTpfLJdWvEfRLZQV351GO0lACHWXoZpaB1EKGmGa/yYSwGZq7mVUEeIHWZrQ11I1AK+f673zvNM6aKgwyg0wbCgxVSiQNrg2fIcsLbpGRjHglkHbbJ2NARE1XFArcm4Yg3KbMZrBwuxojaxdd92OzXlCN1vBYW6RNIr1p8And7XFhIvbdW0QNYKQnWtJZIqOA67dzPEdehHbS/oAXwp13hN+0HikEi7AnvKb1Wzorovc4EBgfWQHGz5ftnDBxrlKbto9H8nd0wp2kpwak6+Sv1JAe593OskS40wQS4pssTorf/SiTJXB98sEL0UnTzqPT/oVZtI0kEIazbUd1SphLExRKHhYDs2P8cSjGnj6QcmWJUOrblgnFS63tXuFjsIyrPWrF1RDGGyfDjyPybLFeG/JiXDhJZBTjHNFSloX5NAt1J79SAc4HLoTZEU65EOLUolLLhL9e0WASGE/bi0Dhx9sKkfG/nUePDTHRLlGljb8f1Uts5Ycoo5mqnMz0UELSNyXzWlCrgn6uyYVG+2O2vGuvERgjI7xbuhkUhVrlKGUVopY46QAjBs3O5joP791lfXXItWs3+XePP7HeUGhmpUY6rbUyBmMUQsBsPgu4T0qnJRdw9co6Dz/9grKs6XclxmhqkZFJSadTsL6yTDkruX/nS1599QrPnjzlz//9f2L+/rtcX11jsLbMtWs3eX73Cc8PDnjt1jadTmbhMzN0Mo2uG1AVWhiUNigJWjU83z+iloruap/3//gXfLm0zDislAkhIR4GvNdMeqVenMOiJFdTDo/PqAWYbAlZDCJMGMibGUo0bG5vQqk4PnzC2cExH//6t3QLwT/55bv82a/u8fnBIaMVw+D1TV69dZO8WOasypBVTSHhxtUtBp2CbpFTlVOqumY8nTOelxwcHPOf/u1fcdSc8X/8u3+PqzvXMaXhZHTGd9e3d01rl31E+DhKRy+9cC+84K8tTyKtQi8TBGu/SLCdSXNtGJeEz+XXCL81zh12UWlIikADAk54xnYxk2Jgkm/nSrd+Xfx0oS8et7Xo0wUv+/cv7Y//LRZuxh9hqCn983TXLJRJaKxvLaUdMRTLJJ6aF/XI9zt23KTlFkJ/zr9pzt3xX8xiyYB/2ryQWXw5GWvaXcHCjZdebVNC4vm9UKK9VouKpQvLfUt1+XIersy5Cb3kvXTOEpx//l46l+3KL+rXhbDjy71kWS561OqXSWDwgn3lK4m8ZRy8iI9bhc3CiwYrT9XkTKqandUuQuTMSkOngX6WYYyygr4RGGF5F4U75hMr7OME/tADg/VcNJaHtBZ9Ewymvp9SgMykzcmjDUXesacI5QVZllvjgjExLNf9U0pb134hHY23fNZKv0c/l8ynE4RRZM6rUSkb+9/pdsjynPl8xmQ0Yj6fk+UZd774jPHoOsPBgOFwSFZ0ODk65uT4mF5u25BZRi4LLP4xNI1mOquolabIBOsrS0zGY05Ox1x9e4c31zfZW9nhzL6BNsqBlw+DcseSGy8vJXy9ho5QLOdzOpQ0laKqc8TqNloObMI6A1IJsrkirxs6RYc8L6jHp3x190s++Ov/leVhzu3br/Fk75iD0zPOJmNee+s1fvCj9+gNB8zrCiEkWSbIOz26PRsSAHZ85XzGsydPefH8GZ9+fhejND/58Xv0+z200Ywnk0vh+6WCvlagEvdQr+HR2mqWcmm1Oh0BeWaojcA4V/1cGupMgNRIBJ3MQoVxmMXDiRYWOCslmDeSqrGA7xMmKNVeDDvslFQmOcIdITdGs2gL97s9ZK50TAIGZ11P7coQhL3UUmrS7Wk7aLNH+zsibHZPxKT7Ea2qvmbH7orYR5uB3rdDC0MYr4RwjUULcCKcCi8aeWu1S7xn3PtYIUkn5Eu4doO24Rxp9kONKCHG/Ls1CvNk65fJlNManWkzA6Kd4C/Fn1K4xG0JTvHeDrECPwI7nmiNjgJ0WC3T7rfxVCmAg78bLc1+7H6u/Zoukp7QrvdoCG06mBRJ4o9kzGE+SRRqYS5E6Pd5xiuOPa3Hr3+LAAr/1JOftH/nlVX2mQzvxXVOPQactwBeEZP0PcBWquQScVzGw29bCRb2hFvj8J7xix49WEI+gzhLfkC2TmHxhzXEaec9JJx1z/bdiMzG7Bq7B4/nBd/bKiiOayqVMabLtJYsd2vMXFIZCUZRuIyPCoEy0gkLkVAb1z/vISOMTYanMZhGIYyOrm9GURQdm7C0aXjnvR/x4Yd3eLB3QIPTkGsdckHYqZMIDbqu7VxJSbfXpcgkvU5BOZpycrzPcq9H5rwHCmNVDsONVZTSPH38kLUry3R0l0p/wNZ8hp6XnHLC1RvXmZ6NufPZ50zLGRpBqTW9js0zUEtpFU51RTWfM6sbRJEhGs3nXz3j7R/dQuQdtm9s83zeME13hKDFWaYMYgtSBAg06/mErKk43D9meH2dw3wdZBdpXMwiCmMalldWoNpjPD3haP+QL7+8z+bNFf7FL3/M8YMJ5WhKLhpuXl3njduvsbHzKtOpZnoyJasNKytdumj63WXqqmY+Kzk5O+HFsyM+v/+Y0fSUvCe4vnKFrbUNZuMx47MJu3vfHa/3bV61SmgqBNzqj8jzFnwhJJkT/HNn9ZfSnrEsfRmPk3A0xlils0K4xMIiJv7TwsGbfyPdjxCwo0hgelEY8Ljr3KguvhuulCQHmneBYOLzrZikuKAlQC/yFKGfglalqWy1KNeIhc+Ao9s3PTsWfy4U8fQ/CvssCPsL/aX9oNX3hH8RaX/SQRArN0m9ofrw+7xC58IVuqBfF3X14oce15lzjy7zvjj3/ZuU+0Z1+bn7/epql1v0CPEPU+BaeHgeoFIisFDXOR/Lr5n0b1bu/F5qw8U5OBTniief4sIhnW/EK76TIm6zNUYyqUGLnKzIaVTFbN6wikBIQ620TQ4sbK4gexqX5TO811GQIWJzhPBX43IOOe9AX8CvUtEpKIoCbQyT0ZzJZEbTNAlucfDi4rDrRttkw1IiZY6QGb1OQTeXVGXJ3ECnyCg6NjZfCJB5Rn8wAKNpyhIBbF+5wsm1HaaTEZPRKVeubLG0uopS8PzZpxzs7/PGa6/Q6fYoMonMMtAGJTS1gnmtqZTBIJmXNff2XnDl2g16K+voPZvcTuXWA0KaKBtInGyV8CD2FAQDRiMkZFlDp6jpiopxOacWOXJlC9HpIaUNUMx0Q97MKIqcXqePmp/x2W8/54s7d9je3uS9n7/PZDrj0//Xv2Y2m7P1zuu8/b236A/7lOUM1Wi6vSEy79jkyxhUXdOohpPjY54/ecKjhw+RWY7ShivbO1y7dpVGNUxnE46PDheBLFwvFfRr7a1UnkpZwb4BMgWZPdmORkCuHTPtrb7aZuX3CRMqIShyTS51oNaNEQgFlYZZLa2wX0tnPbcbQRm7cGZxp7ndF8VTn23cOKCNaLT9pgmSlgGMtMKHDCV9bW3370jYQ1YAhJtAIQhZKQVRMMxMPCTMY8DoxueEfifIeWFQYlrngqfCnCC6g2eeaAkTjqryPHQIF0jgN7jOCu++QxDMPVJI6WZbiEyFOt8X24YWAULCP+2ofJgL40MBInILCFvEH4kOBoEgc5vRW4RTcmTLRoEyWGyTKluoboGi2+IJwfW8QGIpAi+gR6WPZyYi6Yp9COMOS+5KJJMbuyECMPh8CZHsm9ZcI6Ije6qD9bbRQIicBKlc9QJCIiiR1B/67uT5zHdSxBIB7Xtfeg/7Iu1FhBk/k+1QjFa37DiEE66JVvo0J0VQe4kkGWYSdGlwmue08WTmBCBC/K6h8srH8NxboBLGz0hO6y6lyFjK5wgFsyZnYvosd0bkKEqTWWufkmRO6egtgn6RA54Qtp0AaTJDIxFax5MKjCETklxmlHXJ93/+Lnfu3ufRk2eoukEoP3aw8rrbO8ZghLbJbIym1+3z4x+9x/feeBtdlnTmIw4rTb+fY6SkATpGgczodrvsPn1E3s+4+errfPif/oZuJ+NKkZMZzfLSAKnh6eMnVKbizatXWe/45DmZ9URo4GSmmJUNo3nJ4WROZ3WJTz69T1U2vL+2xmB5nbqGXM9Aut2TwkACTyHjcFhFe78QDQPOqOdjZk1JIQTZ0jWbGBONkAJhBN1C0hcN81nJ2eEpd+89oLfW5Q//9OcMsg0eNw9QUnDjtU3+9O/9gls33kLVmrPRIVMF17sr5Kakv9RFK9g/POb5/j67uwdUdcPaoMNr19+hO3/G2XDMoNtl7/kRj548oWxKvru+vctoq8DXCTL1uM/T0PAdq/jOhAnhhbm0noaZ9In8PA62+1g7Ad8e8Wv/KSfkB+u/+9cOVI3UINAEkcJzvMQF91om8RZxXHhBLAhagYQkHnstGtqm6Rde4uLPlrB/jtotCOSedoY58OM37TJACNXydYm2XL5Y97mupi+Ic0/bHXIdDr1y83t5G6LV15Z35CV9al8pBntJ/y5st73gba5vsbcpfb3o2e9S10Xlfte6Xj47F3mIXASTl8Hp4i1x4feXQc7FPfy6LXFx2xePebHvERuYVmnLD7U9Hx3TEnguRcaklkxrKDpdtKmZzxuaRpNn1hrfaIkS3vtIBv7XJ+gDzyOZ1r7UWiBF4YRd7Tg95yllBELYI++0VpTljOOTU6azWSvfF8byI8bxUHXdoJS2VvY8481Xb/HuW6/QzzS6nFJNRwghyYucPLeJ+rIso9cfgJTknQ5ZkfP8+TP29g9YX1kizzOKvABtODs55dmTpwwHPYZLQ2Seg3DJsI2hqmr2Do85OJtQNpZj//LeQwqp+cEf/CmyOyTLpgjVIJX15Ax8u4l4KOVJJCCk5TWQDR0xoy/mqHrG6PSUuthCDzbI8oJcKjIMua7JRUXeETT1nCf3P+GLzz5j8+ZN/s4/+gcM1pb54IOP2D86YX19lZ/+7MesrK+gVM1odEK3N6DoFoisACRaK+blmOfPnrL7Yo+61qytb5J3uuydzFnuQJ5njM5GPHv+jHI+uwSiv0bQ92e6ey2pdcmwcd8aMMpaoJUwVNq68HfcjGkjKLDu6Mohy0xndKUky2zMqD3CTDBrJKWCeS1R2gJs5oQTG9khgiBoYcuAkGCIMeTCCezCgrhntMOWSiik2xNxUwqPehL32gAEJrYdmIj0aIaIXrzFMWwyEZlc93oQ/oSVKkkFmyggSqQxQVBPrQkhnMBR9JQ30K164vj9LOhkzB6p+BAG7RkGpwSJZD3OYSuMzYVP+LPLBX5tiF4TwlmqQ99ceRJXvVaf4jwZERtMqvPQ6DsRYu6jm7qDVT/nJgm3SPrZbtrBSDQVOc3oRVyBaL0b1zMK477P/mVrTdY+B7zrR+yjF8Q9DKeXT16nHGxKPDyIRBkgPMd3KZHy6xISVoaueM8SJ8ALgpeI23auoNsTQMi+705a8BtMLHiF+NFDoswQYJNBxrHYubNlpREYacKbYd9gWuvoDf0tt1Hhx2P7qADjz1tPPBBC7gKiR0OpO4yqDhudKXJu0CJnb9rn6uqEJTGjkTme4a2dqz54DxnAWBdh4VzAPLLSApC5IxxxDYxbd4Nhc2OD50+e8eDhXX78/bfZfT5mNCvdvOqAe4w7p1Y7V/5ur89PfvELfvoHf0A5mrG80qF7MOVISKYKlrLMCuiZwWQ5Bsi7BTdv3mR2OuPj335G1ZRUGkbzklf6Q8729nnw8D43Xr3Obm3cyQCashYIpZBaczSa89GTQx4ejJiUNXo+R5QNNwcDlja3IVtmNppRqwqRmQQi4nr6fAwmrFuEFiE0g7xiKZtTz2d0VoYgB5TZqtsrtrSUhjVzhh7tcnRyyN7uC9a2l/jR+z9kZe0Wp3sT7jza48vnz/kX//DvcPOVN1EzzdnRES+ODlh/4x021zp0RU5Tl4xPTnj81SOeHe7TH3R4/dUb7FzdRk3gxcMJdd7YEwk+3+VgtMe17TW+u769SzlGNMXHEZ+73RkQkqfnBqncpxBJPL9GCufl4wR9k1jyG20tP8oxzhYjJR6CiwJQSscukkNfdl2EtAPNiw8vcotuKc49vXR0K+YBSvp2gTAkxEIHxOJz/27sjy9iUb8495qBVD8by56jp63hxP63WmlX0u7vBZV5/Ju6N0Ar7OvCNgJPsjgBLC73Jdf5UIVLX3C0IhaJfKrnCWJVaTliObF4c6EuCIr+r60rbfN3qWuBf3vJiON1WQFxycPfaSNdAA8XVnTxJk05l9aueEkfztG2xfdM8j1t49zceWOOYKYyTktFJ+/Yc9ZrRVMrep0cQelC+1JvU+8dHNdUJw3Y/Wg9C6W0hw7HEFxbQKGRsiDPJNPZhHlZWl5Fm4R3jHTaKz2bRmG0IZOSV65f5Q9/8SOWOxKpK8YnNdOzGqNzBCKEnwohyDsd68Kf58wmEz779HNePN9jqdfDGMF0OuXk5JgXLw7YvLLJ+tqyzeZfN5jMKifqqubodMzdxy/YPZlggK6Ebjdn+8o6G9tbaF1DNSGTM6Sp8UZhlSxDmKnw26qUhTRkUjHIawYdhZpOUeWYbOUWougjpSAX1msy1zVdUVLoEWe7D9h9/JCrr9zix3/yJ6zvbDMZn3Hv7j2mszk//sl73HzlGjITnJ6ccnhwwCuvvUFWWCFfaUNdlzx/9piDvX2WV9fZ2r5GXnQYj8Y8er6PQXBycsKjRw85G51y/drOpTD6UkFfJWCJJ3LeUhsELBMEDyWs4K9F+4gwD3xNJZi47PwdYRgUVkPfKNCNRKuQ6ozGWEGmwbrvB2B17Qdrt7DJ6Ty187goB8dQe8BMLNTCW5USwdlCn1MWWCujtahZa7QnUj72NmwRHyfr6jXuu8CdK097cwSCLMLtkDU+Ck22buti7AZkSEYSUVoqvAeXcGGVMSEOxzWXYUIiK0toXF4AYy0d4E5FED4mPbYj8Ig+vuvd0OPaxEkKwolp9xFn0Y2x+t7TwMTFEakl38+pR4WxsrhmSf3EmMEksxsQBWPvdp6oWZK6TViLgAw9TjZtOmnii4HJiikPIwPmbJBpr923xFMg5EpokwpPFIIyxY0rJUi01sr+bcWmp9UK37vgC5DQa4fixKIfSbs1n7HC9skQwkmwSR/jcWm2pQyrBJDpfLYYMQvfMsyvcGEPSRdM9PJJ8RBu/jxB1WG/6MhYtlfLEUEZvgthteIH5ZBXe8f0RyVjCk7nXcwaLOdzxmbgi2OMDAyuhVNPOHTALVaR4/a/ACnsEXXCGBui7zyJ+v0eGYpHD+/xy1/8lMO9ktPpBBuLL0K2MItvHWwpxWw2Y+PGDVZXN/jq8zvUZcmfvLvDwekpQiiKTDHsGGSm0UJQ9LsIadjevoZRknv3HnLv2VN2rm0yqgXLWQEanu/ucvONm6zkQx7M72L6XQbdjMKtx/Gs5MXJiCfP9zkaTSwsioZ/+t/9jLNHR2gKmnnN03t3YKNHt3MbzVLEIVjcEsOFCLDkGW2BYbWY0WXO0bik2+9RZ+vUYuDcs23Brq4YqH30bMrR0T7DlZzv/fg9VjauMToref54l7/5+FOK5S5b29cwleDs2TPufPkln41n/P0fvo8Ugv3DI0rmmGlNbRTvvHObm6/epNdbZXw85Xh0wGg+4rQ54tnjpyhT88N3b/Pazdt8d317l3EcrMDRkAQfB8jRadk0RMjSceld+YX1DZELyl3tBHulBVo7Guvup2Fk6SXSBj1uS++FQpeMa+FxS2Dyillfd0p0RPrc8Slpk0m+k0DHTbv/YrEHotX6Bb28WJASSSn/21xSfPF25DEW1RAXlUruLDba6rZZ6FTy29GbxVcXh7xI479uJC0256LKLnp98efvW+6y5r5Jub/Nui642m1cwN+0bllIeJlgffF1MVzGVto79+XT/HIhP+4Z98vzQQvPL523S/oYQxOh1oJJLSjyjDzPmc0q5vOSlbUOvdwwrRRK5qF9j6cwBD7S7/fQB2ecs9KZdHlHIj4VQJZldDodskwyHHaomhztzrS3fIhFsNoYtFMCaG2t+d1Oh+0rmxweHnCmK3Y2ltFNRdOUKN1BuSP4QFBkOZ1eH7IcrRVHh8fsvtij0ykYDAfILGMyHnF0dAwi5+r1mzy6/xXlfMbKsG8TAGrNbD7n6e4+Tw9OmNWKTGhuXt/m/Z+8y9HBC6Yne6hqyvzolOzKVYRWQa5KTWVx3aM3mBUfctANnUwjZENZzqlrRX+4wiTLyDJ7hLKpGzJdk+kZ08NHHDy+y8rVq7z7p3+P1Z1r1Lrk8cPHfHX3IVmW88Ybr9MpMk5Oj/no1x+gEbz6xjvUVY2UitlszsHeLgf7B6xvbnH91m36gxWaRlNVNUZpqrrh0YOHTCYjbt24yY2b1y6FrpcK+nH4i19isq8omNrnDS6uHyvAZwIXC2sL5FgteSkMFdY9O5OgMoNuwGgRgVZEEcZu1Rh1ba3ajmNOGMYYd+2ZcOce74SjeKzcAuIXAmF0EPDC8WgQY7vDBvICmmlbaYVLWAcgRIjdji760aIYhZBoBxYkydDCbxHlVWPH6K2uOCuFSNbAz5BJFkbivQO8BV8kz2zH/fpIGd/10yOFCZbX4CwucMKYjUOOuEyjQ4bOFAHaEtILhp7QJu50/nesy3kiEO34Hi7cCi6EEyQCumdMWlrqFhfUZqJC34Sz0DqSI/x6eYbRESK/PgvtRwVNm5OIhy+mbJ1oMUMR3pI6XSdSWnEuQSEGm6TRzaWwQqTfnnEHgY/TEiaOKIadWMjxxNdPmRFehE9ZQq8ki+oSr6ZLXT0z37a39htf2iqDMjeni5aWcFpEAtx+Dwalh98TJhYwECzqnniFHSuiIivtt5/V03pAPjiin5VMdJ+5zinJWeuWPJ9DYzJ8GFEUOixOsUoMq9IxHgaNKyFt0hxhhCWOEDyjsqJgNj3j/Z/9lNGo5C//5lMmVQW483MBYWywsMFp8TEYCds7O3SEoKlrVpd69KiZlzMENcv9DIxGNZosy6nnJUW/j9CSR/e/4otPPmK132O50wEpWRoOefToEXLY4dWbr3D/o7scnpxwc7DjwokktVJMyobxyQnTyRm1aijynB+99war/QG/eXaH8dNnDFfnzE92eevVm9zniOcM7LxFtJPsooiv/MknQhiGcoauZkxmJbWuOS072DNfbA0ZhoGeokfP2ds7oL/S5wc//gG95R2qsmI2mvDlnYfszWdcvbbDytISo6NDHt1/yBd3H9C7fZv1XsHBi0OeP3vK4eiU9a0lbn/vFXauXKcpNeVkzmwy4vjFEXfufIncqKnLLd558w12blxnZbDMd9e3d2mT5jcx5/mP4KkTmd0WbhUgtKBxikyrNIq41b4nwvs+/0Yq4AcFA6EjX3u1jKD+XnJHLDxN6V9K64zxeDI1PrT7l3q2R91D9ABMuxzmRPjZTMWVtgrc1xOx/+I42r8TlqU1zgt1HxEhLLyTzLO3LHgcIiId8PmLwjwv0N4whybSQdMynhDpffLaxcsr2t9Sd0PavMwFr1x42ywUWVyji67LyvxvUVcot7h4lzWYXheUEedabhdNl/UbbsGv7ZK44Lvwa+ruisWCoa/xPeEYsNSbxb+32P8LOyBAIFEmY9ZoVoucTjdnPisp5yWSAUsdw1mtqE3kMz0/EvggY5L5sbKNp7QIMMInEvYAawXWopD0Bz3yzHA2nvDsxR5l3QTDbmvWHT9j8RGsra0w6PdomoZOLmzOIGOP3VPaoLS2SgMp6fR7FJ0u1bxkPDrj0aNHqKZmc32VXreLdgn+lldW6faX2N3d58s7X3H71g2QOY1WNI1iOp2zu3/IeDxFG+hlgh+88wZLSwM++vVDdq5ssHFlGzUd0ddTpkZhbfoucSHGJnAh4butxhfjwrZyaoa5okPF8XSMzgfQWbah5xjQ2oZiqpJ8esj48Dn99TXe+uUfs7RzE200u0+f8Td/8yEnJ6cURc7W1gaj8ZjffvgR9+7e4/vv/RhlYDodM5/OOD09RSm4fvNVNq9s0+sPg5Fjb2+fB/cfsrqyzNoP3uL733+bpeUVGpNKI+3rawV9z8B7wAmJoQLKjATEZz03Gufy6RPcxFk0xoAU1Bh0Y1zyHF+nIeQtFyTA5XsCkdS30XJqnYT25hJOzvACh3CMuLfma+PFMF+lz3BuYudImnftCbfRWkJgQAT2u3RzoKVjHkLWA9umTgmYiUQ/yuImCA4I69ocEY7wslMgol7I9a7X6cy1rB+OK/AaLBP1JU6RYOL8eYIoHNPgmSy3Bv6oM3/+fNpqOOM+ob1pMjqI7tPBC8S7aOIURE5os27MnmkR0bPCMzep61JyRVhwdSbE3o8vhC+YMK3JGngh3d0zxnlrJDyKBxMHRNH7IXoctM65xzIodm4TN/7FXgaLlL1iRgQ7UguOMioW/DiFq2Nh+9g3o5uXF3l9kVg8MkIi6RPhUwRYCA0IsEkvvHIoZhYIqhch8D4Odg4W4+0JvfHeMzLZYYS94Mo5V5o4fBG8Q1peCxgHJDIZR8RhQsC47qENbHRmHMzXqFSHcV2w0p0jZoba5GEm7NKYoCRRAQ/5tXM4RUjHVHrINHhvA62hrGtu3HqF6azkNx9/gqlKCjIamrBxlDHJPFqEOVxZ47Xbr5M1irpu6BQZs7MTpMwQRlJOK2a5QhYFuTQsrQxZXVrmaHeX3aPn/MEfvc/46D/RyQuKXh/ZKCZnp7z+g7eo5zX37j/gdD7ntcyGZCljmM4ajs6mnJ2NOJ3NqY1meaXL7Veu8eLZCb++95hfvnWdw3nN8vaQ9XzGyDznQOxQm65bYzcWY72/PPRkRO+qjlAMGVEYxenJiHqpS93dQIucxrkHdYRmUB8hJnts7Cxx7Y1XGSxt0sw0pwd7fPTxPf78o0/pDq0nRjk+49GjXX577x5Xf/gKP/rFnzDaPWA+O0UUhrXVZd5843VWBivgjteryznjkykffnKHF5Nj/u4fvMfPf/YLtpY2qZVlMr67vr2rrZqLOCv89rjbpM88lgPvFRTwWiLkR4+SyMn7enTrt8dzBNx8Ib0Jldo+iMUyIj6JR6pGmhrpT0IHF2cj6YejxBf0xtO/hdlL+fZAG90cm4jLzveXhS+xYNqC50fOz49vJ67OufpNnIfI6yTtiBhlZ3k7EccS30pGC6mSYMGRbIGAn+9r0ssFGrV4238xrXG3y140I3G858q32m+/cVGZ/y3qatVwvtD5WxfceGm4xsLd9veLypt2Ic/Yi9jnl9Yt0nvi0rbDvQVgOF/H+fJ+Vs3Cfd+GRjCroeln9lx6jM3doxVLPUkxVcw8S4Pnf127JuVFE37NedrGcB/3gttv2rnf51nGdHrG4eER+wcHaGNsJn6TbE3XgHfn73a7bG2uIyUorUFIer2CkQStrZJBI2iMzU3UGwzRWjMaj5iMx8xnU3rdgvX1VfIiR2lFnhd0en2EyHnxfJfj4zPeeP016kahm4a6Kjk5O+PkdETdNGgkvWGf27du8OTpM17sHnJ0cMBg0KPXzcg6irGeMKOLlt0wYUY7vlQYrK+nsUkDAaFr+rJikNeIZsZsdIaSPYzskWU5DZJGdCmo6VZnmLNnDFcGXH3tXVZ2rtHUJS8e3eeTjz/k8GAfKWDQy2nqGfe+eMKDrx5w9epVXnvzDfKiQ13XkGWsb24xHK4wGC6RZQWNNjRNxcHBER999FsOj49490c/4Pbrr9MfDJFCUs9+z6z7caubhVhxf5mwgKKNNVE67isjPVEyLvbNu5bb+y7lgQNWm6Xfx+N59/sg+AUQdYDre+LqT2Om475ON76tx2uDbQIKvYD04yYRydj98Tx+7Nai7sYYZsv2Uoae2vdk6JCILjYJhhDp+65O7a3bnkH2QqFrxTP9nkFOCtvuuTH5fAHBdd2NxffVtw8maLo9opKBKLqWnSVShDm0BWxCw6j08JfyTEOw3MvwOy3rFQVWOI1zLERkX3w+AN/fqPIR5xiRluDtxuO9NNJyfp7AZfp3WgdB9MLwAnls3IQ1TxF6C8Ebv0IO3mhfIlRAWENfhxA+7lsEJZU/szS8S2LJcW7xEXbbBBo/Bk+w/dobr/RKLfLtObRHjkSLeNt7xrcXXeqNUAi3lnEd2zMgRNQ8+jZ9eIc/xjLAVZzZsC/TXSNNMmTXZz/OcNxjgDQPJG0q7BUJ86agEj2WpD3LtTEZR7OCN4dzOicNE6e08X1M9ZDGpttLZzxYBKz23J9PYOfQGOtdkAuJ0IpPf/sxr796jRsb13i4+9doaRWhxiirLEzmoalqeoMh0/GYzGjKpqFfGzbWB9THDU/2j6ALXZHTlZJSC65u7XB2cMLDh3e59epN5mcVB+Mxb13ZIs8l0+mIK6/cpCNynt9/yIeffMH2zS1qoylqw7RuOBqPORuf8uTwkEnVUHQz1tZXWF1a5s/+8lMe7J/ww9MxZ7nh1vYWvaVVBmendERFLTrpCgSLZDeDDE1RQAfNaSXpZzVL2ZT56YjTyZRiqY9YvopJcEdmNGp+yrSZsXNthaXVdcppxdnzXT744CP+7KOvWF9fQTcZB5MRs4NDJkenXL++zPfffoOcDJFBKTXbN3a4sr5Nb9CHWjEdz5hNxpwcj/jo8wf8+Ycfcvu9q/z3//gfsjnYRNc1up46N8Tvrm/vau2u1pOIikT7ZtygePoWbNcmxSRJK4K2YG1aT91fS1jMwp6/qL4UfQXM7HGZOFc6lI10TQQeKbycoLI05EsIEfpvvCLSPdWeN2qThnOErB0D7zu70C/inMdxn6dz5wjuYuxAUjAV9VLKYe9ZQih9/zw5cpO4OKS02xFPu3BG4RU/scG0zPn+iYXPS65A+NNZ8g2dh6H2WL+m7m/wPK31wikOtVz+/HxbL2v3YkXXN646uVL++WuH+rd4/U6rckG/Ft+/rOvhfrq3xPntYE8FESiTMW0E88ZQdDrkRUHVKKqqYmnQZVA0jEoNMjvXkkUR7cq1wR5vJyweMOCEdB3mXWtNr9uhyASVhJ0rm8wrzXhaMy0b6rq2R+xhpT4vh2QSlgY9hv0uWisUIKWk35MUmaKpK5S25RuXoN0A8/kUKSVbV65QziYc7L9gZW0FkWV2DO6ov3I+5+hgn163Q6/bxZiGqqmZl3MOT045OTtDKYU2DYP+CqOzYz76+HOeHU54+HSfje1t1rZuki9JZnrMTPdpsiJ4fEphx5BlUEhNITTCgFIZNIrVXNOnoj47ZnY6wnS30LKLzASFbDBaU+g5+eyAgpKt6zdY2dqmrmY8uf8Vdz7/gnlVsr6+wcHeMUIK7t+5y8HhAWvrG7z3/k9Z37iCzAsMgqWia08WKLoIkYVw6/m85Kt7d3ny6CHvvPMmP//lz1heWUYA87Lk+OjgEuj7hq77HvBTdye7xG2CaJPmWSIqPfINwCacMGeikOCYXW+F8y7rLh9feC+i2bZlcdElrs2/RwpnhXlDtEMvbDYSUUDEpHbSKxKcoG6M72PUR9sz1tPs7IlVPrRvNVxWMWGzPipBcoZ8FAkz4cJyRSIapO7s0unNTXgVn9HeeAu9ASFjojM/4kCcE/f8YANwlE66o7iMY0JC/gDPZidTJ7GJjRojKJP6ZcAvhnYSj9SC4pU4JG8mpZy1dv9aOQABAABJREFURCf9DEsWkuq04dEfL2eri8oISKwyoQ33W/ixhMpjOylkeKbB91BERUDSMzzzZ/938JYoCISxQq33BkgqDtc5EuOb98yNiTAaZzVqLKJF26+dh8w2cxZd09KeJNyP8BZ1XFy1n1dhPVHiVEeGNGGKPQynzvyeoMdWTJhPP/rQzxASkuCMZMHTdUznJzAybg1a+95WHPc7ntQZGpNzUnXZ6E3oTitmdDmpBwhxQD9rOHGZ8M353hOhNdrGwCkRpESILkFlZeL+2txe53j/ObdubrFz5Tr/5tMPqbULhxE2YMImyDTB8qdUw/rKFjkGrRWdXLK+tsTm1hr3P9mlrDXZrKRqarpFB5lJlFY8ffaEG6/fZmdrh//8wZ8xNxqjBZkwqKZk2O8zHU84Pjjh5rWrDIY9lBaM64pxpTiZV+wdHbN3cooxmmF/QL9T8NUXj/gP/+vHTLOM0dkZ+c0VruzcwuiCSWXI+oaO0HQzK9gPC5uMEQk7y5AbTQMYbdgbKaSZ0Zc1p2dT6syQddehWCVzCmIEFDTI+YThoGClv8z0bMzZ7iF3P/uSp3vP+Wf/3c9Y7azy//6PH1A3Fadnp7z9ylWubm9S9JYZzRTT6YTNrStsbq7Ty/s0s4qqnlGWJaPJlAePXvDrDz7BLAn+0T/5QzaWV6FRzMsZo7MJj5/t8f6f8t31bV2Cc/vr0oILVxoy5bFjKn5d9v2imk3ypY3Zzhdu8yMi3PN8hS1nWi+lAm/os/B40sv6wqOypJFowPAhXZY18Lgo0mV8++7987Qs4lTwvJVIlN+LVlgTh+nv+npdRW134pRGxZYDPQnxw8lcChkNNI6qSBlnLO1/FGRifpxwWoNZXEM/BwlhIeVW2vW2J2jxEpEPeVnBZMra3gxJkZRJSapI0kGcqyuljYv30roSkGldZrGui8B7YaO0Hif3WLh3voKFe5du6bRBkon5uvIX/Yx1xf1lLlytFuxd2N2FfrUex1lJ91GY0tTbxyMEB9webmuTMVeK1aKgyCVV1TCbVQwGXXodgSgVmCy6nqewHdoy0UgkCXlJMukGpYWVB7Sdg6XhEHD8sJTM5iWzsrR51FyoroVxy++AjesfDvvITGKM9eQsCkmvgAxFVTfM64blxEpXljOqqmZpZYVOp8Px8SmnZ2PWVieoRtHr9V2SvzlHR8eUpQ3BK7odZtOSsqoYTae82D9kPJuhjXbyhOSLrx5z59ELpqVi/2wOnQGrG+vITs1GM2Kul5kUS3SkoJsZOpmhm0ORCzo55FJgjKauFapsWDY1QzHl+OwA1dTIlSVMd4iQgsw0aNUgmwnSlKysrTFc7lJOpzx/8Yyv7txFCMHNGzcYnY25f/8p08mEJ09fcPPVW3zv3fdYWtskKzogJEWnT5ZlZFmOkLmdc2M4PDzi0f2vuHf3HsN+nz/+oz9gfWOdLM9oqpqDw32++PLLc3Dor5dn3RftDew3hgegFKQCKx2pzLlSsWwqbplQTjh3bHPRRg4UIBHAw9u+SHLXa30Dkkn6GCu0pRN3eG/FNBAyRNrvqdAUv4PVCEkDmRPIVWjFEjcd4RuvfZbGtBB8IDbJnURH4gT6hKQFYc6EvgZbv9PmRYTlCb0JxCTSNDcb0lhNljA2EREinHbQEYZcKnKh7dFEQG1sArM8M1QKhJIovEt6RFa+u8oQrHh+7jxBjF4atnB07I532wnjwvKGUJKwfsYEF8sQRuDWVItIJEmEYStE+neSuUnyLdhpS+yqaaOBACUdDZyTqzNhIqL1PsK5TsYX1jFoHxJKKaKYmfAtrbr8c58IspUHIHTDQ5qHjfjdtxYVO3HH+zfbhNG56BsfNGKCJ4L1iPFhDm1VWySkC66O6X5MZsqPM0EvrXmL8JSMJcRvmvCu8Gvt4FQ4SquF5LDsc23piEJUjE2Xk7qLzgpWshkv1Dqekoawj9asJZAr4hwLIe06ea8cEXwe2N5aZ3l5yPXtbf76V59x9/EL26csC/3DZbv38XRFp8dgedmd+S3oZpKd9T6z4xP2RyNG8xrZaSjQFNKgjaaazegt9djeusazx8/4zWd3GC4tkQuBqEr6q9dRVcnxwSH7kzE3rm1RlnO0MQitmU9mPN095NnBEZOyRGSGXlEwOR7x0WhGqax7XjObMFxeIiv6lCczyumYV67NyPIOg15GL7dK00zY/Z9ldu9pA40ydHOFGZ+SN1NOTybkgx4sXQNRWCWoACHtmFfWh+wMrkE1ZTo94/HdB4xnZ/zRn77L7VtvcO+jA/aPjqGo6BcZV7Y2WVrbYV5m1Epx/dXrLBc9MgxNM6euK87GY5492ePXH3zC8WTEXFe8+f03uLmzRTWbMToZcTab8ez+Hp9+eZf/E99d3+bVCn9aDO0759YFISdIi6c4L5SGnw5vLTLL8VeC8S90945dWuRiUm+09sML+hbue/zs6YIJ/FFKfkxSjcDy/pkTgpWyyb2Uzzfg6FKYrqAgbvfnfD9je+ee+XCJhfj4uCSeNySpAIebE3WJX6pgvY/rYRwtzYQJvEgWQvli/3zIl9bu0xDCSLVoqQ8i/5iASCvS1cQ6Iz1KZ6k9znB/ES7EuS9EBc9L5judq3NtieReu0HTehwV5ojkeahsgYNO+yXi13OXWHjvpf2/oAJxcbXnKrq88t/rSma7Xe+Fe7KthrrQ2cX4/ZPwrJEJaF0Bb7QqELTn0L6vkPa4uFzS7XWomobpXLGioZNn5MLQhFfaCxuNoe4UoITzMjJHiyyE9wrAp9XaWFtBGIXRipOzM7568Jiz8cQKnl7R5miw0AIpBUWW0et2yaQLUxWSfq9LJxdoVVOXc2bz0hqNXAXWvV+QScnh3h6ffPIJ1bykyDusLC8zGDrX/rNjjo4OWV1bZX1tjaapmc1LxrM5e4fHHJ+NnKevN9QKag2zWjGvNTrr0hsuk0nB/PSAnJKtlTWGA02vkzMsoF8IOpmwSkMn5GtlMLnCZBWdpkZMJkyPDhAmw3TXyLrLFJk9xUArjdANWZHT6y9jmHPw/DGPvnqAFILrN28wXF5mdDZlMquZV5or117hRz/7BYPlFRqt0caQywyZF0jpTktCUFcVX37+BR/8zW8QwNloyvbOVdY31tFAWdUc7O3x8MFDtPq9Y/RT67HT4ApCwpo2G26/mQDHkTwuCgY25XQEPmewCmeut9zmEjzUTtQWEXYLVQnXnwv2rnTPLOEwyf22lU54a6VZ6HuybzPXlhfYNzuKa0NDKeDxSFLVVgRoNE5otnZDHaiAQLYsgIvHwDmBolXChUkYL0+691ONr5tXlwoh3MwwCGlQWrYTDToCPMgUS0WDlAatrbvvuCmQBrZ7FUudmtx5CZUG6ga0FhRSo5HUjaBUksZIKi2pdGaVAW5eraeCX28rVrrTO/FpQjQ+VECEYw59lLfva1gYRJIzIK6/SebXi7I+YWOqLEk1qh6C4/FEKbw4ZkCAMLKlrIiQn+hvHY73oSZpdvHU5TEkRoxLHvsTmAoRRh8gNGFIhBdiAxmP3JUgJjH0tChr7cmYY8CHJcS8AIR8D+m8L9LBmNMhUSqFEA3XZxGTTcY1ks5d3vfauVAR1xU/h4kVKKVlQcl2AfGXQbnmKzKYwPD7uU2YTwChMUZwUvUgz1gRU87MCvOmw6gpWM4nZFVDY4qgSPO6HB3qOe+6aoS0xDbP0MqFshjvFSTodDK2rlzj499+ztHhEevDPmdTez575ryFlDVbgTIIbcjygtWlJfqdnDma3qDD9nLO3sPnVNWURjVMypL5bMbm8oCxlsyM4o3rNxidjPjNB7/lwfPn/PKn77E06NDtF2z2lzg7HvHoxT7rVzcpZprdvRdooxmN59x/ccDTvT0OTkY0StPvFJTzGeuDnF++/SoPH7+gAmZaMdxcB6UZHx1Qnx5zq39EPlwhz+y+FjKGP3hcpXWEqbyYk5UVJ8cnFBurVMUahchQQCYNMoMs1ywNwVQ1R3v7PNt9wd7RLr/44x9y9coNzo4aPrrzkMPZmHffvsaPfvA266tXmc8qKinZ2F5nqdenK6EuNQenx9RlySef3OHuvUcU/YLv3X6L6eg+6xvLlPOS/ekhL14cMZ7PqOs5f/Qn752Dve+u/4aXiPg2Ctqe9i0IBgvC/qIA3dr7C9d5fuV8iUg92gLW+TpN0j1DVFR8bSOhp348XlEdcLQvIZKQJ2EopGalZ1jpQS4N8xrGpWZaQ9nYE420iapXY8xCx9tSeoy1T2cmpSS+bBv/RSE6ehp42tKqSiTLJW0IYJFpOpmhkAJhDI021C4JVDcz9HNtj0lMWvWhbNoIlLFHJdZauPHae9p4L9JI4zx993yn96RM6bnnpRZZ05QnDPdaANi+wrD9mNOwkMWpJXIWqUh9qQ4hvbcIiAtLF9fM9mEBii9u4KLBLzIwF5RpGawuKHbp9Q32xze6Ll8O+/iCJQisw/kfF9e/2NBi2QsrjoWCvO9rES5puRY0CDq9LmI2Z95oqgY6nYxcNE6GCJxcyAcU5KDF5iVOiPThhNrfJs8lqysD0MqjK7RWycsRTwiEO7FEuDPvZYA5KWFpkJPLmiIz1E1DMy2ZlzW9rqAjBFleIKVgOhnz8Ycfsvv8Obdu3mBtbY3VtVU6nS7z2YyTk2PyLGNrawutFZPZlNFkyuHJKU9f7DOZzTHaHZ2a5Wxd2WJ96wqKe5R1TafXp9/v08ynjPb3Eb05G5uvoIc1eSejVwi6GcEDXRsXVqkN2jQIKnJTUU/OqE5P0TpH9DbJO0uI3Cqba6HJUPR6HaSE8dE+u48fgFHcvPUKG5ubaA1HR6eMJ3OuXdvhvZ++z8r6BvNyzrysGSx1yPMiCcUwzKYzPvv0E+7eucvO1gZbW1v86tcfkuc50+mE6nnF8dER+3t79Ad93nj99UsA9GsE/cCgh93pFrml8naiiCZqcyHEgVstrEyLh/gxXzwIuGbh03YiIIiWAjRJ2BZuJW0ExOaRTWKNbeNAS3WkEGjjnbxksGZaIuAYc7eBbBZ7+32l0OwMDDeWYX09QwvB1almNG7ASM4awYMTQdMIlDBksVPEQADbYa9581ZqhO91FIp8Jn8/EVKQxOIJ93+qAokTZ7PKxwzqYL0RlnLFalGzPmjIpKYygkmdY6bQAbb6Nd2unSeDoKs0KndirNBkWOGlMlAqwayWnJUFlcot4yEMcyOptWVHlHHnwhtv13RCp0uWlronSqKiyd6LQOJzE0iB9SbwwmkLsUfSEjLOuzVotQ34I9f9uynx9+3EapPDOUz09Ehd6kOfw7rEHvm+RwfyuN98xRbmEw8Y5zlif6ZCuQn1O1GZOFIRTkfwbEJUHdn2tHCMTGIqt4hPkMJS2Aeubi/gZ6F/VuxWThlivT9sGyoZq69zkeh7JUyCRcIeTHd63N8mhEG037FrrYmMp3Z5DNJxk7wjHNzNVY+JKljrTHleahqTszft8OpKSTGpaEQR5t678Xu3/TTLgQ8t8XAsyJGZDd9RjQpePjtXNnn41QOm5Yg/+uWP+P/861+jjHbKQeMYfAsx0p1pbxB0+30kkl5WsNIv0GcnFIXkH/3xT/jqf/ozjqczpmrGTE0oy5wVmaFnJc8ePOLF/i7vvXWbK0sD8o6ks7ZMrTSPHj9DCcXOxjpf/OYLlDZUVc3e8RlPDg45ORsxmk7RKLSWDJZX+Gf//O+wUQuQkl63YLCyQrczYDaZc3R6wrWNDsXJl8ilHQpvFQhr4NhsQYA3KRqoR0zPzphqjTEZS8vrrC41ZFqhNNQGhnpCr9xjdLTP86dPmFRTfvknP2NrY4fZ3LC/e8SX9x9DD/7oFz9kY3Wbot9lXinmGJY7HeupoDSNahidjTk+PMTohr/3D3/O1c2rHO1O+OTTx1BXvHhxQHPScHBywFvff5Wb77zJcLjCd9e3d7UFKgdFF8gkLdWvOX+vRRv9FWTb8xLBeW+pBQb90n5eIF14DyKR1LogiIik4iBgCqvAtGFSLthIRJqRCSvU9wvDet+wOTAsd0BIQ6MFpTLMGsGkNIxKwbSBeSOolfXga7SjnwuCm/cAcOjWzuNCqIH921achHwCyVi811dLxhGJGllYmtGVmqWOYrkwdDODxAo309qglaHfEQxyQyZ8vHA8CcWeVCJQWtI4Qb/WksZArSXKCBptUI73UIQTTCOHmIwjLM2i/JYIZa3v4fF5gdxcUGYRDM9VFEte/vhcicvqjB01C8++5u2kkDl3u13mApg/V//FdLjNs17ai/NtfpMrFDPnb11Qpbjgie+fOAcMKW8nWp+LwswiFmpdDkBSDrdSoIykWxRImVM1irJq6A475LJGKC+jLS5q0i/XaBryG54Lbw2XFIVg0O/bfgpJt9theXmJ01ntKhExIamrSApBLiV55sIHjKHTyVkedpBSMxh0AcVkMmE0mYKUDLOcotulqipePH3Go4cP2d7a4tbN6/R6XQRQlnPG4ylF0aU/GDAaTzg6PGI6m3F8esrz3X32j0+YlhXKKISUrK4s87Of/Yy9wyMqpdEYhsMBWV5QzueUsxnD7jIdUZN1DFlH/v/Z+68nyZY7zxP7uPsRoTIyUldl6apbVwtcoBtAd2N7VO/Ozho5u6RxaGtGmtGMxn+KfCQfaHyh8YXDGbMlOTO2rSAaaOACV5WurMpKnZEhj3B3Prj7OSci8wLYYTee7jHLjIgj/Lj8ye/v50QybLfqus8lkTZOXpTut9UZ88mQ+XSCbW2Qrmwgk8SHRwsipYiVIDaG2fCUwxdPKcuSuw8esnntOhbBq719Hj97BULy0Xc+Yfv6LpaS0XCIRbKyuo5FooSTZg8PDnj25DFSKr773U+Jo4h8nmGMRgiYXFwwGo/AGm7fvsHq2iZx3Lo8AfzxOzz6Lla0TgSzuJCdeOu3mJPOG1sJ3Q2KuKy/Vzq4EJWS4jz5i2ULqCFTjUVQ6SSNuigbBG/8BAwvsj5ZWV0D96hX2oUbaIv1VmDHSCWCttM+6UWGEsG0dMxkOzVs9JylvB9ZdtYl3Y4kTiQIQdoSzHqSUsM1AxtdTV7AeOYyaJfaWd7OcsEkl7WX3TPuCCht3dYEiJVBC0Gm8YkOa1SFsLZqQ1CCnKW+vsd6Blgpq56Bx8KylhZsdguSxLikHUYAmix2hoxO21QGGmOdR81agTXuvbEyfu9hSWQFrdggybG2rLz4kZHkZYy2jtkar8AYKygQjbwETf9xAy7uZCNiP75hm7Kwa8OCot04AkOp4Y5ezTRut4AwTY2obl4U1BpTfrHsupZh60ZvpqiU/doA4FAiLpFb8CH43SjwBJim8Ff5GSoraS0MeQJLEF7rXQ9CIkNhnQdY+XkQjHFh4dQCmatt+CkFtfU9tJ1wrjYPeJK/1MNU7apgpgJvvBGNZxsitwBhxZLxql77zRNL8ucCx6+v+TkTYFzVjcHmXVGeSwJJuDe3EaO8xUYrI8oKNAmTsgvmnLU4Z647jSeWhIYgtNrG+4X1e3Y7j3SUxKSJIs8Luv0uCZbxdMjHH3/A3vMT9k/O0V7yDExYWR9pJ9yESuIEYw2FweX/kFCUM95+7yFnR1NG+ZzRrODVSQfV6tBKJP1eh+HpBY9fvuTtDx/A2QxrNLosmGQ5o9cHTPMpH338Pvn5hOFkiogEeZbz+uyU0/GQi/GQQudIAd1Wi7cf7rLdb/Mf/9+/YGZgo9tzW/nNSk5PzjkZnnDt3lvERU6eX6DSHlKYmrbj6Ijx7RMIhM4R5YyL8zGjskQYwe5gQDtyAr/1Fvd0NEKPDhmfnWGU5tMffML2tXvMzjMuLk759aNnPDs5YOfhDtfu3SVt9Tk7PublmyPWHj6kmyZk4zlnZyc8evEMTU5HKb77ww9Z6a5RzA2z8Ql5NmNddTl5dQCR5P33H3Dz7m02OtvMxlO+Pf6Qx2Xh+SqB2s2tQMxt41LFHK8ozlO9KobZVjzyKpG9OioDwVXVvSKgqirMQVcrz1sj1hxq2SSUK4UhVZZWZFHS8wApUAIS5WJLW5Ggk3goqsR73NxhrHMglFqSlTArLePcMsktswImuWGuJbkOwjy1obGi/yAwDaRgDYt3PC6YPC3C1AmWF/PZ2EtheIHfSAmJtHRjWIksK5EhVQaJQUtIhfPstyJBokBWHNnUcfhejjTKYqzz5ufGog3kWlMaSSFwxg0LpRFo7z3VnjuZivs2qPwV43uVJ7hp26hktIYstzQb/kGOq6be7/vM71OPxeVy1ZO/77n/f2px1XNXHZckhd/znU1+fgVNaRRXOZO+8d3LMsk31eGKswKa+ba0kRS6pKWky7WTF+RFSTdSxAqEDhudG6xQ9WStRJ1AxGyYlAgpCbCapjkqTVJarRQlNcrH/RttkM27KhmxltCNtRjja2EF/U6b9dUeaTyl3U4xuuR0dIF9fcTudcHKYECeZwzPzzg+PuTmjeusrq4ihOViNCKbz9HGEicd1tbX0Npw9OIV+weHZEXG6dmQo9NzpvOcvHT1iyPF/Qd3WF1b4z/99Y/J8wwlBe12121NOBljS02sBKqc0BE5yJbLrr8gLxqw1ivGFmlL8vmEyckx2byEwRpxbx2hFEI6vaegpM0EJm84338K1nL37fdZv3EHqRTDszN+/cVjXh0cs9rvc//hA6I45uzklJPDI3Zu3CCKY4SUFHnGs2fPOTo85Pr1a6yuDQBJkWVMxxOKLCNNIuazORjLzdu3WV3fIEpSFjOZLR6/E7q/nKyshjfXU7nesKoRHyt8EixP1a2tVCw/DxtKvu/UAO+qPbhNyJc3KIgwyWx4jMUsrO5kUAyDX9Lx0loQjxSsRpZOaogjl3V/OJeMcom1gp205MEAkpYgjaCUgvHMMJ5qrvUjWh3pYsQkRApkJJFSUFjIjWNaERahBNfXJRjHhEptMAYucks6Mgwnliw3FEKQa0FXGK51NXMDs1JQasuNrqXdcoaMszmcjgVnuSIzHuzsDRmRsEhh0ECu5SWlt1LpKuHBkkrDaquknVik8rslWJecYqdT0E0gjjzkzXhhAUFkQUUuRs6NuSXCYKUkEtCSJdrCvHT1lBZSVVIiKIyiNLKC/ksEeaVp1zNJ4jz12gtrUUNhE8Iz9Yb6BlRKY5WsryqvbrrAVts/LnuEoGlwWAQ/Kbzw4+ea21rNNvJA1O8SoQ6VBdStIeVPBe9BmMd10jpT1brGelS++crjVPvHbZWVM5wVwjSuN2CqwpUlr+ibKhtxaBuN3Q5EWLt+/VrhvczOtGLwkDF/Xfr+MBbUMpNotIvKQyV8PH+oVR3X7xtboTxCaEazf0JNlsNvXNLG8K76/c2AmfCEJtAKxdh02YzOaIuSOS2GRUKcKNpyCnq1mk01Wa2xD1XXVqKx57NSIVBIKREiIoosnXaHi9GId955h9OjU376y68Z54VP2ukS5kipKMsSIyQG4+C7ZcFkMkJ02mAF1pTsXN+mzA17z59zPhlzkWsODk9IkphrN6+R5zmvnjxFSMug3+PV6xNEUTBXCVa2MFHB3bfuoSy8fP6a09E5aSvh4GjM0cmQ8/MR02wO1tBtt9m9NuCdm5u8fHrA//CTL0j6PZI0ZXfzIcfHM5iO2Nwe0F/dpJwritkYsVLT4oA0Ka31yrvjF1JnWJ1zfjqktAWDtW06SeoUI+uek7bEjo84O96nLOe88+E77OzcRuuIfHbO/tOX/OxXXyLSmPW1PuUsYzg9YO/pS7L+Kmur6xR5zmg05M3BATrLuHFvh3u37jEZTpiORkwnmr39N5xPz9ixLSSGh++9w/0bD1AqIpvnZNm32+v9oQ/hF9iCmG7DBdv43ZQllgu54ndDxhcsfW+yzUZ536QWXGIpXjimqo/nISIkx7JE0n0qYX0WaOFi7IVLltlLLesd6MUhztUp8pH/DN8DFTI+rMH49yl/JZaOt/csrHUcHH5ewqSAUWYZZTDz8P7APSSGSEKiLIkKjhFH34sS5hrmhaDQssoDsGhIdYpAFTPfOG8b+VMiAUnkYPmd2JAq7QwWeESWcGVEyiEbm2Pjpc0GfN/LJBYiY9AGEgmlMZRGUOha0S+t8/7rAPHHfS7KT5VkWc3B5aMpAzdP2ivmYnPKXX0s3vFN918hvvxPOn53PX6/ey4/8Z/5pm9q0G+59Lvf/U33NSTHxpiKS/fU8tbv9e4mQVh66Lf1gLvdVq+t15jFRoIoVjAXFEVJJC2dBIaZRjcFrOb7Fz59+KqnF82Y/hB22EpTWmmCLafosmR4MeL8YoQ2hpBnaKFIAdZYyrJkNs+I45gkidja6JOmMdm84PRsxPk4YziB+fEZpZD0B6skScJ4PKbVbrE2GGCxvHj2nCLP6LTbDAbrrO+s0e6u8MWXX/Hl46fMi4wsyzk+OuHi4oJsnmGMJYkkvV6HDz54l6fPnvD02XMsgjRNuL67y2g8JRuNaMeKOI7QsxGymCDTLhBVMqQLx/S7hwnraZgln02Zji7IC0N3ZQtaKyAFQoKyAotGzY8pjh5RZmO2777F+u23kCpmNjrjxbPnPH7ynHmuubc+YH1tlWI24fmjJ7Q6bfpr6yilmE4mPPr6K2bzjLcePqDfH6CNwRhDmeecnp4zGY0ZDUeM+ivcvnuX9c1t0lbb7U5QfvMuQL9H1v0gei+eCpOyaTCXC2oKYdrW07jBh5vz0IZO9gUHBb3xpLsmFmNy3eA0F6eteX54UnhosWcUbQGrsWazY9lcERglKLVT6za7llFumE/h423B6prEKoW2YI1hY0VhjaK0gfEIEilAQV4CpYtIj6yH1ilvSbdglatPJ3JJH9JUsNGyiE1LZmB/ZJhOLLd6lv6qwEpBWYIunbFAKqfWrGvYHWgOxpbnZ4px5mJjEqlZiUsiYdFCcpbBrAy95aSKwAyl728lDP00p5uYKnGPIwQ+yU1kiZUnCgaQhijMfwFSKF+mRQmBkobIeAXaQOaV3MhoEjQ5CuXzMwS4jBFOMYzBhSAgUNYZAIQwZFaCcXuRRwTDQhMwHZQsJ8xoD8h3vurghXCf2s+lKuO9k4UqI1S4Fp4KsmPtqaBxLnimbYX7ccnTqFiCJHSWV2KtJWQ9EUIQ2To3QUg+5Lz+AX/SeFbU1tegQtZGjga8PtQTKuXb0jBciKtXZ8hHUP32dcLW8yXgYhC1Aa9ura+PqA0TUtR0w6GCGm/wyl4gplbUW+WZYGENhpglZinDW0MdhHH5E6rW2mr8wrguMqm6zsZXoUlVjmcpb68JenLC0HSZlym5jRhEU1RhKRdt3A2RYZmNuwYIKUBJrDXkeUEkFaAwUnDj1g2m4wseP3rKjbUez54fUgpneNHakJfOk2+1I+K6KBlnGeXea3r9Np12mw/ffkgrSnjx+DE//dVjTDnHGsPZZIo6PCVaXeHs6IzzfMbHH7/LbH/I6/19P2ElTCesXd9CCsnRwTG/+fxrjiYXtKKYvYMz3pwMuRgNKYqcdhKztbXOjRvXMHnJf/rJl0yN5c7qgLzI+fiTP2X67BdcDA/YufMuKu0znUyRUbCR13Sm3nXDfcdYbDlD53OOzy8YZzMe7N7z68HTL+FCfmanZ8ymQ3bvb7K5e5t8bjk/2uPZoyf89DePOc8zVgdrrK0PaBvFwbMXnORTPnj3h0Q24ejNCU9fPWVto8v33vsOnaRLpGJiWXJ2esrrw1M+++oJZ5MRa9sf8qeffo+V/oBEJGiTM74YkemSb48/4CFqSlMJITROXakNiKWbGsL70rq/9FyVjLXxVEO8qXQDG+i0WC6hQtBVNKK61/GrdmTpJIJ2Ikgjp/ArKYikc0ZEUpBGgm4Crcg6ZT6Q4VABR+zrbiDQTlshqtw1560X1uXsiayLT23HsJIK1tqCaeEcDIWzfKKES1SVSicLRJ7vBcN/rgWzQjCcw/nMkGmH9IukCyUQQGlcboBcu+/a1l1bkXABsYRUWlrKuvdJ650Xnm9LlxdIBvlQBEN4I5zM1uMaFHXhjQVS1JHJWIvQrlckFoVEC6rY6IA2dHfURtswshXl8lBHt110kFVDnep50ZQdmvLvNyt+i/xleV79Qx4LcvjvuOfqY7lFiyVd1iAWNQCxcP7ymy57z+v7qktXVfCKBl31ZvHNr/7t7/xdh/imYmvrz6XrlSM1yJyS3LhcX0pFSKWY55o817Ril5BPN2DPwZBeG5VqydAG6UgIEMrxflFpV7TSGCkEWakpipLpLHPoQtE0DLjwQazFGovRmrI0nF+MmM3nrA/6JHHExWjC+PCQg8NjSuPkXmNhOJrx4tUBvW6bbrdFp93BCnj2fI8vHj1FSMHN6zts7u4St1JevH7Nj3/+c06HQwBOTs64GF5Q5DmYemu/B/fucj4c8jd/82OyUiNUzLXru7z93ns8/vyX2DxnbWOHKImZjs5ojU9pddYRMsgldmFtgutXU5TMxhfMRkNyq+j0NrFxQhQ5x2NZQmRKGB2jZ0MGW9us7d4iihOmw3OefPkFX331BF0auq2U2zd3kVbzd3/zM47Pzvj+n/0IISMuhmccvjmg1+3y9tvvkqQp2mikFmRlSZ4XPH7ylMl0ytrGgIdvv8X2zg5J2kJI5QyoWf6NU/F3xOjXHVBLyZdF3EvxctbS3M+2CX0W1CkgajKNn/shE3atWIVtZerjcqxvk8cHphGmtxSQCEM3MmykhhsrsNqXRIlEKZfZ0loXZ66EIDdgc8ugG2FiSaktEZY4Fi5DtIBMw6wwzpplRLUFgsIrr1ISVEcNSGM9hN3VKpIO3m9TS2klRWFY15pbK5AmEuEzUycxiJCizMdqxxbiWBEllpmxlGeWWGj6ccmah9jPNBgpyCZ+wdtlD6gbkFga0igQUvdsBYN3L/VMXfgYawvSw+ctWGs8vNiRkAhBLpwAYIHYOFpiAaP8eNmQLM3UChsglfNkaCucEOLL1AikcHDBlixRQmORFFaS6ajaY9wSaKeo5lwzpj54UoLSHmit8uENpjpvF6D4lTpfzakgYNSJ+cK6wNbzL1xZFhDqLPFBEffGCwsOfrUUW27tghJeq/7494tKcAmMIyj2xq+QgGSpM2XUJTXrHwQV0RCgFjLJLqy35ZY1SvYdvJDyQIREiw3beGO8ZPVcoxwZVnswvTTbHzqlSZ39HeKyyh3q0exHSUBANNeFYFqmZFbSi+eIzFLamPM8ot/SRLMCLeraNIOCwrwJVZK+YS4thkBIB70rSw1C0O11yCcX7L98yocf3efXn+27bLReWLUeXmetmxeRlOTzOdl0hjWK148esXV9ncGfvcXJwQFvjk740z96n7RQ/LuvX3A6nlJYS/tswMvDI1Y6bbKR5ovHL/nNszeM5znWWlavrfO/+O5HlNOMx49ecDabMRzNeJMNefXmmPFkjDYlaRyzsbZKpxMzH4346cER++cTdnZ3iCLFgw+/y8bWdY5/81fEnYR+p0d2esbR3musTOkNrhOpFiC8cOLHwrrM4LoskdkZ+WjExXRGd7BFp7fld0nwq88ayrJA6zlrOwPW17fIZprpySmvHz/jiydPSLopH967w6vhmFhZjvZe8/zZc258+i4KODs9ZTIfcvvmdTY3NkhaKZFVzCdT8jIjmxe8fHzIo73nfP9HH/Anf/Qpm6vb6FwzzyZMZiMm44wnr875wT+/YqJ9e/wjHc3gm6vX+OUnPF2xzdV/xU3VYZcufLPCdflC4x3C1zYYE6zzjAsBaWTpJTDoSgZtQS8RtGIHwVdSIIXPAA0o5Tz6zmjsU5g2iFiTP1lEFWYVjM72in5Swin8AWwWwhcTBd2YCl0jhKuPEl62qdagU9aNgULDPLakygm+k9xVL40EsQJjLNPC8WMH83dlNL364JJsJhJaypBK45X8OnzB8VXRyANVzwIb2rNQbqO+OCOBNUuQa1En4QrJYa2lMlBXoaANBd4N7GKfuvdbZxzA9XmQSUJ9wk5OzejXb5qRi8roQnW/8bh07bfd3HhJmAPLj/zOtSWuuKl5rsGeF8r+XfVq3iauOPdbT/yW699QD3HFrb+z+G+q1+/Ztqv79vJsCPOnMFBoi1TSZbI3hrwoiWNJLAuKYDeo5N0G6kQ02+jOq8p4Ftwv7qk0cYq+QBBFMQJBu92GwmC0wYadf6r14Lb3LcuSqTVMJgZhCy5G56j5FDGfcOvGJveOJ5w+OiHPSwoz48nzV9y8scP16zsUWcaXjx7zy19/ydHxKa00pb+6ihWK8+EFn33+BWfjCdOs4OxsyGg0wugSjDNipkqx0uswvBiy9+M3nI9mxEkLoTXvf/gB6zu7/M3/+J/YWO3QW11DxQnF+JTZ6IRk4zYqSkGEjFmOPoXk4M6QUZBPhmSzOYXqola2UJFy4ZgiJpYWawrQM5LeCt31LbCWyekhLx4/Yu/pMyg1K50WkVSs93s8+foRjx495aPvfodOr8dkPOL05JROp8fW9jWiKEEIi8HtflBkc17v7fHsyVM+/s7H/OjPf0R3pYtSystDmtl8zqv9N/zwG+bc7/bo2yCa+0zWAW5bUb46nqkJJ64ndK3024bXfiGaoKHMV/HN1F/qiVp7XsOVGkrlFKVm3FssLZux5taKZb0nWOkq0pZyhixfjrKCSEgi6bZ6qrba8gpyGrk4dKWcZ85Yn7TPLxiE9YgBbzFuxHtYG2BnziJXauuZo3uXVM5IoLB0Iui2JMZnko08dM8gq5hdY13cdWncu3d7hp4okdbQilwIQWkFWeYgKIkwLuNs6DvhrPlSQCQNa0nJalqgpKmg3SAQHv8exlVY4yZKsAQIV5fSuPGIBUjh1Elp3HiaEHNoJCWKuYmYa8dOXfbbEB0uqq37ImG9x8D67XEkCRarLIksiYWuIPmZkRhShI2qDLvaCzkKJxCE9ro622qPd+vb4oRAUc2dy8zFtTcwa+XnacjgHp6s5C4RFGNLUxS1fh0ZWYtdFcSyMdOln7vWNoNTgnBiaUZL1UKMf59oquHS73awDOCvD1kZJi4b6uzSEypclLUCW+fTEJXSH/KFGm9aqHZ38PUPEE3jXfVLckGzOE9j6rW8fF9NMqrVVl1sBl1cYp8ihCSEVuLrX0tfuY0ZmxZr8QSZl5QknBddNlrHJJRkpD45VhA06zoGhNMlL4R1W6hYDw8TFlqJ4uLsiPv3rlMWkq+e7FMGRIy3nEslkSLCImglCp1HWF3QXelSTHuIMqcjS45fH/Dg/i53bt/nFz/5isPDU0wckWc5k8++prfW5589/CPOj8754tFTHr06Yp4XCCl4b3cLKSNe7R3wYn+fNydn7B8eM53PmUznWFuilGK136XXbVPOM+YCPrl3C1VGZIN1JhcjPvjkU9L2CuenMzbvr5KkPfLDU86P3rCz2SUf7yP7d53Q6+eftZZSu9hbU+TE5IzOx0zKknZvFaFSwCE2sCAMiCJDipz+2gBpJaODY9682uPrZy+hHfFPP3qf33z2hidvjtDTKc+efM3W7ia3t3ZQNqKcn9Hptdm9fp2WiMnmGTM9Iy8yzocjTo7OeLF3wOD6gH/2T/+MlbRPWWSMxzNOL4aMLkY8ffyaR6+O+N/z7fGHOpbUqwX4ab3+RUPhaMgqTa2jsUZr08Gi+C0a/2oJJ/AMqF1mnko3q0JNlZxx26HnWpFltaPY7kds9iT9lnBeeunQgdKjBEXgA9T8BqwPVav58gIiZvm3Xa5XjcIKSYVDux0oUVS0OsgxzgPeoKDWGw48StFYQeTDDhQWaS1t5cYljVw5eekE5rmkSobqeF3d0wKn1CfKJd9LlSEWplK+a1Jql/rZLtHZRfOP9YMsCEZsUfEl42W8oObUSL26tMpYH7z21Wv8uDT7HlGFf2nwxslGjS5PsW88fk99cen+oMmGF10upckRA69vTIOF6lUyTXVmiQNXirNYfNUy41swzFzi9gu/l0Wv5o/ApxfLuuK5qnKL76udCHbhmfrZ+v66C5cxOsvzLfRfxf2rdy8/d/lNl+9bQFj6MwavOxhIlSCJJPO8JM8K2t0WrRi3jZyoHVsLibkbQq3wa9chL+tg0UArkzgmhGgWZcmbo1OGF2M00iN2pQcB1nKokMLJNtpSZjm2SOilEZv9Dms37pBGEZ8/OWA6nTKXAmRGkSrCTh/PXr7iV59/zcv9Q6bTOa00ZzzNmGY55xevOTo5Jcs1x6dDLoYXWOOQjQqnj0kVobWh3+9z5859LkZjjo5PuRhNuf/WW8ikxcV0zvWdTZJ2x+XlsppscoHJM4i6KOodA0IOIEcvDDqbMDk/Y5yVFCvrtAbb1dZ31kJkNcZmRK2ETmuLOE2ZnJ+w9/w5B/uH9LpdVgcJeXmALifsv97n+Dji4bvvcPv+fYw1ZFnGYG2dwWAdqWIflmwoypLpZMLx4RHPnzxj0O/zo//iz+ivrWExbheC8YT9/Tc8f7nHNMv4puO3KvpGBB2pBgtXW4VVioWbJCFjvFtRASjsJ5cICkJQKJoTX9STsubDC8u4MVehEv6pCbMIpTgvaywtq5Fmt2PZXRN0uopOAlEclHW/3Zuf+LGPWZHemm4EbhsrP6GscES80JAVBq01yuKt73V/Cb/dRIml8IEzAaIuvFKlfB9Z7RR/JaAXSeg4xV76JBgum6WgwBEFY+qobiVdrFy/BZ0YsNInygNKS1q6pD0jab0y4sqQwqCkoSUN/aSgl5REylT9J6khOsat30q3B4up3NHSLwanqlrvBQ8CiRDBy+nuN7ZO2uOUculhcc5bn0pDIjSpNAhp0D5DP9IiPeBeSoERysUA+jFJpSbGoK1irmME+AR3YfYEsHit+i2qvwE63wBzLyjq7h5DPTfDlJU2PFc/02RDcmEG2ypDvWi8PXwXUBkwwtKoIJd+noZzoYwwRuDtsjZ47317K+YTQgJ8awNBq+rtf9kabdCsb8iTIBBI72EOSza0LfRrnYSwRiE0ezN8b0oUoShnR6jHoO7XZUHJP9zExDYvL7HYisp4r0soYdGUQt13AgwRx3mX2/ExXTIuSDgvOqguDKIpI90BRJW7oOrDJZpYjb+UqChxSAClgs2E0mi2draIDPz1T/+es9EMa1w5xguoAk+TEGR5iTFO2EhjC3HEzdvbFONzbj+4zbXrtzl89ZrDiwvmZYmUEJsYWxZsbq7z5s0pT798zN7hMWVZMJ/PkSoibbX46sun7D15zosXewhgOBySlaX3cEn63S7dVgurS7a2+vzv/s2/Qp+POMxihih0UbJ14xatbo/DkzH9B5vkpWU0HJH2U9bbLfT4CN3dBZl6D19Q8p3nT5gMyoLD03O0sCTdAUrF1ToIupWMBKvrq6T2nOnFmOM3Rzx+/ITdt3Z4//5dlGnx99OXXIxHjC9iPvroAQ/v3SNZ2eTsYkay2mJrbR2pwciSIssZTS6YTGbsn55ipaG0hnvv3GG938cWmqPTc46Pz/n6y2ccXJzRbaX8s3/yfb49/nCHDEyfJTqyILVXBPSyYhXkC1Gjja4kSI1zTXq7QGEadGf5ZE3nLRGaVmxYawu2+zFbqzGrbeEdCD4On1rxDW0MbwpsoOmtrxBsQfG3os6xUgnuy33QMJYK0aBOVIimSrkPMgtNBFzwnHveYi0Yl6PIWrflXS+BWARZwz2DglhZYimJpIuLDwk4BSCEMxQk0tCJLG3lvPlBblru12V6X3PYui0LI2Vreu+21nMJ+krrZLpm4r3lCSWWxts23+r7NjxbK85hzJxhpsGYwtWan1WvFEu/F75cOsQ3nVu4cFm5rMtcNIRfPpYX1j/U8XuWJ674urzeYEEou1yyXfxuG/c1h/GK+72I659bVO6b9RHNQROX6UQQlZbLDyGUVVGNejTvD7ubuZ0iBJ1YkCaKLMvJs4zeSotOKhmVGi1MZTwXjcJq2bJGrwgrUUqhKznNgjWkaYQxGq1Lzkcj9k9OmWUZUiqEUigZI6rtkkUVjliUBQIo8zntdI3r22ts9kpSlXN2dMre6wPmhSETBXGk6Aw6tNspz54/58uvH3F6PmQ2y8jzEmsFsyzn4PiYo6NTToYXDC8umM/mlY6jhMszECtJksS8df8ef/EX/5yz4YRf/vIz2q0W2ki2tq+TtnskSZskSQGYT8fMJ1No5ehijtCld/bJ2oBr/W4eumQ2GnJxPmQ0N7RuX0N1ulgMVguEMES2RJuCtNWmE62CHvP62SP2Xx+wsbnDrXv3KQrD01ennJxdIJXi0z/+hIfvv0OcJhhj6fX7Ls5eKYQArTV5kXF6csjR/gH5PEcaw53bN1jbWHOo39JyenzCF5//hoODA9orfW7evM03Hb9V0ZeBaNFUY/xEMk0yKOp4ML/4mtDhsNCEn4VN/mPDRLdUBoFaofEWWBGUIr8NHk6pUKJmbhJH5GNpuN0x3FqzrPckcSpJFCSJxHolP5IhFtt5IZXjOBVsTgC5r5xSjiHkpRNKhdYkwsHfKi2FekEZa8lKS1E4IpFEAoTAGkMiQUgqr57x8XKx56xuAlNl3BQCpMG3WTnziU8WoSSoWFJIhzCw1m0bI7UhVtCKDZ1YM8NlwxdYWqokkSWdyNCLNZGihvv4NgUPt4MdN0hZAxrurP4us29lHa8wcy7GLTeCWem228uNovRwe20lQbmVwhIr7ZRiCVY6U4hGYHxOXa/mI01thQ/dLoWtMu/GQiKQ1DsNhHilet5KhN9mLcw8X46fq7KaSbaa8UEICwy9ihZuMPAgXzqjiK2s+dUzQTDyvVlv4livCWlrglytjRBz5cc3DIZpuKlChvtgjKlZtK1jz0Ug/k02YmmyKipDBBVkcSEhobCNkIKwE0f9u9kPCww01JmwM8bi/XV9a4NgPV6LxwI0jbq/mn0W7hHUeQFE45qjHtInXKnFnZpluxlwkXdIViUdWTAylmmZYmRCT06Rxs3LZmiC8BWqQx3qdzkjYoQ2BiUkJnJzsd9tEyH57PMv6fZSVjsJ41lOMDuISNZGGi9oTmdzsvmcvWfPmU7nRO/vMFhbZev6DY5e7/O3f/v3/Pz5G6JYEbcSbt6+yfb6OnqS8ejF57x4uUecCCIhMFpjrGXv5T5dGXN4cEjcSWkZSJViXuRIqUiTiNV+F1MU3Lp/k//Nv/4ndAz84s2QqYgpsox2f5WtnV2UShhcv4m0lvFwxPFoyMrmCkmry2Q6pCjmiDRFWIv2SbLcpyXWM8rJBaPJlBxL1N1AitjvMlIbkpSUxDKnmBWcH51weHzI7Xdu8M7bD2mnfQ5fnvLi8BiE5u7t67z98F0Gq9uMcoUVJRvrW/RabYosI5vnjKcjTs7OOD065+X+AVHaIm4ltFoReTZleDLh6ZM9nr/ZY229z6d37/PgrbdA9/j2+AMewQpqG978K45AHqtPAh30tLKOMbykISwoAledZ/GGBVySqM9I6xTWfmq53lfsDmJWO5J2LIgj0fDc17QnQGtD6CLUynX95upKrWRWT+O99oshROGZKtQsyGJVne2Cgq8EtYKP7+uKsLr+B1934fmwdMmArbKeR7vPCEMqBKk0ZFKgjeOzRtQw4lhCWxk6StOWhlTUSQkhtKfh76xQeDRa72mEr2Pd/oDCdGjH4B0tjUcABnnBLpfIwhwTVQ0aEyYoUsHbL4Q3jPoxbMzD4KAK5xu6/+KxzDgr2XnxVPP9l4u6PKnF8vml+W3F4vNNVb/u4Ssr+juOZe/277zdfTQ7aaH+Qan+pjbCYuPcmFzaNlMs9ulVdQw0Y+H6Fd1w9RhccW9YcuKK6w2DWnXNfy+tk50RDrqvJBSlxmhDGjs0ctEs5wo7TbNvpHCecCMlQhrvpBUkcYzWBaUumM0zhJC02ynSZ/N3xjvjnY4WYyxlUZDnTmaxpmSl36HTirB6yujilFd7rxlNcoSMUNIlzfvw4/exEn716y84vxhRlBqtDVq7VN/HJ+eoJ8+5GE2ZzebkuQsxlMLpYy7fhiBWgrfv3+bP/8mPEFLy9MljJtMJUZLQT7qsb11DxG06KwOklEyG5xy+3qPbH9BfXSebjlHtVaxSIEICT9ftxli0LpiOL5iMRxQiYnNr1yVVthqk9PeUDvGsBNici9NDRsMzbty4wZ2H79HurbD3cp83R2ecj6d8/L1PuP/OW6TtNiqKsEISJwlSRggExmjyfM7Rm31ePnvKfDKj2+mhy5LBoI8tcrKx4dXeHp/96jNKbbh19z7b12+Qdlf4puO3KvohTqsZZxQmbK0G1WzGeEK2kNXbe25FQ7Buxo0tEyAZNCZqJiWqNyys/ZoseyFYCstGbLi3bhmsKuJU+GyxAqGE3zrPTVgXC+4g8gEqFyzIjimAMBZpDVa6yaWsy0zvUAHO8iMqouN8z9raarsoa6HUorLMuYzbpmpu8CAKa4mUr4OvhPX81ApPhIWPHBHCJ5exPlFGPQoWPMzG0o6gnVgK7cwtsTDE0tBShk5kSCLr4uKl8yyEca4U6SWYlMU2lE3r9/R2ldMWl3DD31MY4bbwKSSZlsyNdNvaWLfjeiAsANoqjM8Sb7wRA/Dlg9EKjUJgnGfdOBRAiDPKjCSzMRa3D3owTgWV1ynwokrIKKxLpOgEFT/H/VgIG9oaZqzvgQUC7QYlGGIqZTf8a7St4stN4QNRxaqHMRPBW0JQNL1gRYitD/NhUaBsogZs438wkC0ysjBLmqEctlpXrjwvLPl2BhRKk9GGN1b4Ej9fmkr6cqx9oAAVGogamlYZKTxkKoTOVAJOlQeh7tOGrEkosCmUyWqslseuHtemMO3Gv5HHQlimukVuLGtJxlFmyUzC6Ryu9zVPzzRzG1PD9hvD4sc6oJa8T94xVSGJlFNshVJsbW+y9/IVg0GHfnfAbz4/QCqFjCJkFFPmORiDwBDhktmUusRqg1WWTidla9BjY2ud4cEhv/nsN+wfn/Evv/c+/4+ffI5t99i5foN/+ic/YP/RI94cHGGsIVEuNscYF3t3/OaYXpI4Rt1uU4znLl5vlmEt9HodBJad62v8m//uL+gUOc9fH/LrlyfMbESpC9qrq6ysDDBCsL69zWT6gsNX+0zyGdfXd2l11zk/HCPLkiT2SBqPaiq0S+qTmpyTNwccjUaUxrKyecsZKf1gW+tocDQ/wc6PODs+5ujoDd31Du998jHdZMB0WvDo0Rs+f7ZHeqPFw4/fo792HUOMlYLrN7ZJI0k2nTDP5hwenLF3cEA2uiC3hk+/8w56LHn95OcgDG9evWF0OuF8dMqDhzd5+949WnEXFbWY6RCs8u3xhzi+SblfwFI1+GEtnVB9W5b3ryptWQm68h6W1n2znjhDfCsy7Kwo7mwmDNouqZ6ULh490GbhCVoIMavYiA1GXhqaQc0vag7SaGWTADcIZHX6ynY1CKlgURZals6ueJWj29YX7j+9E8PlJXAe/VRaWt6YX3o+K71CnyqXgK+tDImsebvjKwH1Zhv9YC99Bgh5SMIbOrfeYk8wLwW5dkkBCxN2JJCXSgtNXVbggrPpGw9b91gw/Ppfv3tK/ZajycfDictzbvGMWJz8dTmhqqJxrnHfotRXl/yfV/8rWr5c2BWywvKP5vz7/dq5tF4IXH6pdZfIydUtrd4hFu9cru9iXRbn6lVjuPhm2/j0mE/hZpxT9B2qL5YKJQW6LB3PjCISaZhrjRCqYUSq0SNBng/vkFIRRQmFcTIx1vit6FrewOKMi61WikpbCARFnmO0du81pW+ZpSwLiiJHSMen11dXQJecnhwzPnlNMcvo9bpEkQYVc333Gp98/B6v955zPhxRGrdFnTHW5TzDcnB8Ql4WJGni9rKX+J1IrM8vArGU3Lu5w3/5T/+UXrfNb37ziKPDYySSOFLEnXVW1jZJWh1aK2vM5xPOjo6ZzXLuvnuHuNNjeHFG2u6jVIKVcaU3WKOxpsDonHw2osjnELXprG5gkEhrEcY5fSkLl8E/HzMbH3J6dMDq2jq33n6fdn+dMs94+nyPVwdHrG6s8cEn7zNYX0NGEUK6XZikUs7gaAzZbMLzp4/Z33tFkibcuHWTWMUcH50QRRHHBwc8ff6Cg8ND+qsDvvPhh3RW11FxilHfLI/8jmR8tWAfvtklKbs5XytDALUnsLnQg+IanOGmet5WCbwWLJ6NdekdynXcrz8vRL2M+0rz1pplfUUSpQ6KnyqBVFD6ugSIXORhako2to3wWkvpAsRROENHRB3GYPHKsG1AjXHKU64teaGRxm3aYKWLlhbg8j0IE7qHoCG4BH4OTSC85u9gerbKEm+sRQevLl4hsrWl38XLOwtbopyFXCnBrLSUuaUQLkYwkSWtSskPi9+PgHWJ7+rxC0JRHYMsvPIdxtLgMlOWRmKsxFhLbpzVvjCOmRbW/TZWoDCVYFMGqLmVKCyZEWiUi/Uj+NUtGrf1jUK6JDkCLAolSyJp0EgKbSmod4QX4Ld/q/eSD0aooNwGr75pzFBToVGE/wzQ/nrY8OEh0lvxw3wyYa43Xf1hdoia0fjmV84pQz2nw7Z0NSbBG3SCvCeDsBY8HH7smpCtUIYFK137q9oL5+NW1PMsKNpV2IwvJCj9AWbebJFPyFwt/mYyxCqrcWh79a1meMK/RzTvFVR9E273NsKFREZVCY25W6EVBCxA7WwtAIYRJQhrS0zX+ish8/9MtyhFh74aotjCGsnUtBlEY1IKchE1H2+UJerOEQ3hUHgFXoEtCowpSCPodDrsbm3ytz/+glJIWq0UESkHcxXKJfss3TgVOAYnpERrTafX4d6tbbLhhMdfPuP0fMx/8y/+iKdf7jF4ukEuEoSUrGxtEGv46slTklgzmxckcUykFPOiYHIx5vjknO2tNTAwK0rSVot0Mic3JXGkWO23+O//9Y9Yzad88XSfX+6NmbdWiCVk8ylpr0e7vUKuLa32Csf7M7ptw8b2Khv9DbLJmNHwjLTISNp+TK3PW6IFUpfIcspsMmWa5ZSdDr3BNUoTBA/Xk7Eu0ReHnBwfMJtN2Li5wYP77xDJFabjjDd7r/nZr77gRM/5k7cecvv6HXRuyWxB2l+jlcRk04zjwyMuxme82HtNr9/lrQ/usz5Yw5aS4/0x/X4Xm2n2946YjoZ8+L0PuLFzi1glmFIznsw5y755O5tvj3+8w3PBK84vSeONY/nuq+66Spmp6PU31WXhgjcaCuep7iawsRKx0lLEEX4bPCr6E2yawhcUPPpN5d6JRbaujG2iyZrqhmcA1b0NoemKhl2W4AKTuQKldcWz1tNk5xxwTgfn4LDU22W6QwlIFeTKVOF71p+PhHGx+dL9RSJk7vHvt42q+RrZilrXLZHCVnXCe/AL47YsnpXuM9NQaElh8Fvp1S2suyjwFMeAREXDvQy0oOx7PuzDFoOxvukj8WJtw5sfDNq+hN+hQS+jEq8aE7H8vcGCLt3jvzTDZGnUpcF+F6bON0yjyy/+LfWszopLZ77xRLPYb7zvqnY2fjcBPOFLkBkWkS3U8tNyeVfU6aprVzVaLJRZN+bKcQwyTOOsQ7Y6pGwqJZGSlHlBWZYkrcjtUKU9GqghFzWrUzlMBc7hECXurCdCKlL0el2kVIQ8HFJKIoRTRkkwRpNZQ9jFzWiXGLcsNVJBK5LsbK0xHQ3Ze/6CbqTZXB+wuXFKvDdBJm02tzbZWBuQTy9IIsV8nlOWDlnocltYZrOcOJqw2UqIlCKKpEuErl19lYBbO2v8q3/+J6z2WnzxxZc8eb7nwoGkoMhK+lt9klaXXEO7N+DoxR6iF7G9u0tvsEapDdOzQ3ora8h2HxFFtQ6Ky49U5jmz8QW6LEi6WyT9DYyMsZSY0qC0QZU5ajYkO9tndv4aFSXs3H1Ie20bjGB0ccpXj56SFyV37txic32AFJZISpwSBtYYijzj7PiQp4++piw0d+/dY2P7GkrFnB2foC0cH5+yf3DASr/PH3//j9m5vkucdiispDCGooZVXzp+j+313BHiSipi67/X1uXLs1fYepsw0WRctcrkDWu29txVnrC6VCroalAkLk9mIQyrsWFjRZKkCiE9RF9BbTmoRYEQH9dc0UL4RHHGEOFgtlL6hBjaVgTfxSCHdrt6F8ZiypLY+i3jqKpOyCjulOMQn2ao/JqBmYTYdmvJLRQeWltq0CWEpGHGiAUGURooS+OgJCGkQjgrWCcqfDy8IVYO1u9CDFwva+GFbhPMM1RwvGq/cYsfP1llvbWANpAZQVG6d5ZGMtMSbaRLOmgFuXZwfWfkceNsjDN/OF7qEokURlFaB78X1oKkyvsgfIZ+KYLxI8AGLYnSGCsprfLzxNXZ5UWomeSywlozMFsp9jUzs9U1UY1ULV4IvLK7MN2Fr+uiAFIrwE4KCX1sfEeLesoT1M0Qr279XJDVarANo4F/q63bV8/jKo1TjRQQ4JKa0Vhbomp06IEmQw8rscnsw6ubCnp4UvifTUXfNjzyda1t1XdVs/GGltAXXvCtJTxT5/holFP1mu+zUKBj8BW1oopfxVbesyAUBgknGA3dXYqTPOVaMiKZaeYoLsoed9NT2qpgpNt1m5p9v9An4b9LuGWVBKNppRHraxt0O22219b5/ItHPHt14MZK4OLRcHs+m9JgjUZrB9UbjSeAMwxev7bBvc0Bhy/3KYs5f/Ff/oD8ouCvPnvJzEi6vQ6qldDtdOhtGO7t3uTrl4/JypJur00/y7FjS54XXIymrG2sMs9K5vMMpRTdbpvEajbXe/y3//KHXO91+exXX/G3v3qJXlkjWk0pc8NsPuX2W++gZMy80HQ6Aw72DuheT7n7/h3idIXR60PGRy9JT79Ed9cQouWHMEB4S/RkyJuTUyZFxvqND7Ei8Y5CQWncHt2RhnJ4zPxihGhZ7j58G5Wukk3mFLOc/ZdnPD85p9df4dr1LZjPGZ2O0asDOnGL+SRjeHbCwcEbRuMhK+tdPv3OJ0QmZj7NuBhO+Ow3X/Plm2dcUx1ubK/wo0//lMHaBqlKKWYZ01nOZDQna+/w7fGHO5q+V8fRYJGuUF2v/+PWZS1KNJdrdXvTRNBgGyxS28Zzy4J/430CJ3t0YkEvVSSqjoVdfHegZw1/Y6hng7/b8Gcbn7ZxnmCAt5U80kS10fhtbeAkiw0yAY5v3I49AVlZ9eTSuw3Wyxsukab2jgYTEI22vhdc0r5EgpUOLQmOf0bCEgu/jR71aJpKGRbVoAVEYTN8odnxFqfAF0YwLyVzLZmXkky77QILv02ZMU5xqvu4yVdqb3wwutS8LeQsqOWDQN8dn3Uz1Fwx0tXX5kQL72o24tLP+vyV8zB8F4vnxBXzc/nhpjIvGvWqxZErn7z8gt96/E+A7ouFruHSV3F1W8QVPwSLa8hNpcWVGqbX4vNejvs9yl8o8qp7G++oTzQNabUjwlUrIH1qFItzjLqE1hrl8v0op4iXRUGrnZJEAlkah2QJek4l04UvtRRmhSLudBDK7ySmLSpStNptZyArS+bznPls5pDNQmJ06Wiu0Sjpyg/b8Bm/U9DOzgabgxWOj45pdVe4c3ubi9GM4bRAximqlRLFMUjF7u517t25xWefPwIhESpCyuAusxWiSSmX2yOSEu3X3s6gw7/400/od1N++evPefnmnNK4e0tjmRaWh9fvIFo95toi0zav9o9pXVvh3jtrGGB4dszJ6+cMNnZQK1tIkXivnQGjMaYkm48YXZxTliWdlQFJp0/htoLDaJwQX+YUoyOy4Qlp6hIQ9rdvIKOUcj7jxYuXHB2dkcQJ13Y2fVjEjBSBilw7Z9Mph2/eML644OatO1y7cYuk1aYsNZPJlJevD/j8q6fsbA74zqcf8uHHH9HqdNFI51QtCmazGXO9REMax29X9IVTrReYXkVUL8ORagXD3VHL0LYRsx8WQL1iHLw6TMZ6GQjh4pEFLhFYUKLEUhkSp7inShDHjplIUVvttC9XBWYiZeVZbi5+ay3a1EqwWzhhazn/RlFb7Q1QaIE2TskWuAvCBvZbt8ZaKK2DpwQF18FRnFKqhUDZOlSi9BUxjqtWlDgwXu3jzfLSMM8N0ifpMtYhC0otUFbTikMiPNd/2nU4FlknNwqSjXAMXglb0fgFD6sNGdXdws6ty6qrHdabWSkZFZFL4GZhWiqXwM9X3wi80l973w0KYWQltLlrEmG84CHcrDFA2PfTWpibiNiZTdz88fUMXnHrCZz7aTz5UNW8NdX0C0nmxNIzfn7Zer55Mokf5sbZOrlTgNMLROMdFf1FWh/fLmpPvvL1bcL9qnXSgPSHsvxsrQxIYSpXDJsGNF40BVBRrdFgvBCNe+q15foibG2En4ILcD9BFeoQngt1aNKFOg4+zAGX5LJJPUKYiPL94toUesdWSQKDJ6QJb6Mx3rXA7MwkzX6vKVYlQfo6LzPems0PizZ3V87oMGcuEs7zNmJV0ZdTjvWqR43YBSUCUeMGqr70DMqFhxiEiJllOevr67x6/hXHZyfc2d3k1d8/c0mitEFIiSk1pTYURUGpS/IsZzwZUZYFSMH165vY+ZQym/Ld73+EsAk/+8VP+PuXB6jBNkYqJyRYzcqgz8P33+V0eMYkyzGzKf2VLhYYz+agS8bDEWUcE8UxRTGn1UpY6yR8/3sPubHZ52d/9zlfvzzg43du8+bCcjQv0cYx+rff+4SysNgSUAkxKZmIUGmX0fmIi5MTZJTTyt+QT07QnWtInIcTC7HOmJ6fcjaagFSsbt9E+aSdWitK6xBPIh8zPT8g7kjuPHybTmeLyfExM51xcjTm6/0TMinYWFuj344YHb7h9GzM9Ru3mE1mDC+OOT86RVPy7ifvs95fI45TpsMpk/GE85Mhn33+mNwWfPThe3zywXtsr+6QZzl5NqPUJcPzCee0yTv3+Pb4wx0hxAf8sm8IsE0qXV1b0GREJYu4u+3C/QvvofFc42ST3ojlmysvnOPhSkIrFiSq6Q1ePLxujhcvG7Sdhbj8OnbUt902qlYRuCswDg3l3Mk3LNwX+IrwZQTDvjY2BOTWdbKNuliv5HtPvjZOtnFhiywo+WH3IiEgkpbSgcqqMWom3QtKcsiD5nuz5ov+czmYKzhQqtxAWjIrJLOg5BuxEJMfQhQX+FSA2ft5QhCJGq8O/L9B2f3Ttc/fyf+iKs8XuoCYE0vvDmUsnG1OMGuXZs+iPLpwO7XMVvHdq/DtLJ1qyB7hQtXlC1USlx696vh97QBX3iaWvorL94ml+9zPq9t5qfkLTsfLNWgac76xrkHuuvLisswYjsZY1ckbFnq0GrMGnbKEJNYCpCKKFFiDLkokhjSGKHMOs7A+m+9zSrOTe4T/a7U7JGmLJMrJZyVpkpCkCcFQGEWRQzOrCBVF6FKiyxKrLdposixnPJ6QF2VFV1ZXenTSmO7KFtc230YKw1///C95+WaIUClx5OquDXRaHR6+85CDo1NmuQGpyPOCIi8QAtrtlDiWSOmolAt5EnRjxQ+/8y5baz1e7r1iOJqxubmBsYLhxYQyN4i0xduffBcTp0zLkqQ7YJppSgNRkqDLkuHJEYkCdEYxvSCWMVZGCP++UpeML86Zjy8oC83a6ha57FCULgzYaIMwGsoZ8/Ep3XaHjd1rdDavY1SCnk959fQpX33+FWWp6XXbdNspFxdDirKFtZAkCXk25/TklEhFvPP+R6xtbGGBMs8o8jknR0f8/O9/zXRe8NF3PuaT735Ep9Nx0qQRFGXJaDzm5PyCtNe/NGfD8Tuh+4ETBfhsmInSMw4bBG9bXxNB2vcrQVivNFdCsKVpLWwAaquEfsF/HrK31v44/466alW5/dSClGhrUFZUSlKIFZM0UQksMD6DrZRkXXiPvXQJ7nRQtv3ddbIaxw2sX1zNRG0a4aFsgDVYZGXpFjjot5LOolZ6Tcr48oKv3yBcAkgcFLCwkGuHLpjnJbm2mNJ5KF0SP2fR0iVYa0ikoAjjZJySLYxAKlNZ8K0RlB6+4xivwErjFBLwxhoHnw/Z86VnVs5jb31CLcVcK0rtchWURnhIf5hLgAkqd4DiNiaUZ+CCepu2kBfA2ohSOMlB+jj7QkBuLQrjEQsABqTAWlMrsbi8CNZKn2V3cYYDDtVAUzkL76dSIoOgtsAv/DS2hC3bGu2hWWZ9RTYSQQajBLa+dzm9v24YtyrhISinl2Xchmfb9ZOrY9P3UHsn7PLrfF8EwXSpmxptom5VQCVU50JegdDmBpsTteBYGdIadRChH31lZbXA3VUjTCVqucNU2emVr5UNA1OZjpZohUcHNQURG/4vMeuLokOuLWvRhDPdJzMRMxPRk2OkKLGefAYDh2y0v2LgAqR1wSga6HU7WASd/gomm3B6dsSnH73L3/zVFxwenzKez9G69EluMsq8QGu3n6qxDpGhVIySijQBIQ3vfvIRSavHo8++4KefP2GmBSsiRiJpJSnz8YS8tMyV4ta9+4zzOWeeLqtI0e/3MSrm5u4uw7NTiiIjip2F/923d3l7a8Avf/IZMlb8b/+Xf8H8bMq/+9UblAQ91Qy2d1lb38Jop64Mrl8nijukKx1sZplkFxyPLti+sUEby3B8jI43iFXst3nUkE24OD1mpg1xu0u7v40xiryMyKxL0BlhEPOSNIY7b71Fv7PK7HzI+fCc05ML/r9/+StenZ3RSmM3MmXB0d4bLpKE7VIwGp8yGQ/pbXV5e+stkjQlFjHT8ZjpdMJ0NuPoaMjByQk/+Fcf8f3vfId23MLqDJ3PmY5mnI/H7J+MyHdvkagB3x5/uCOooouUuqZstWmvKWZT3xcUlwWaZy8rAtU9FdFoyDMLKlUtpAtByHyvhPPox5H73qjBQq0DoQtkvRLP7eXv1bZP4TvUf6Guti6z1pStv+T457L6EsoKTRPe4B/62MlLga4Jt7e0ddsEG23R2lIag9bBq+/eWXnz/QsdIs8btUV9zeKTevn7lcGHN9TOlLrPg6k2IKlcPY0VfqceQaZdLH6A6xfaIR5Nsy9DOY3OqNQqW49rpeAH/uRpJizNq+bYVXVcnmeNQzSfbw7GwuxYuL95rs47U8sVTYVTND+pfzefbcry1YngqLOLNVis1WW+fnVjfu/L9X2LS6vu9+WyxOXzzRpe6r9vrGujT3+LZWJB6Rd125t1uar45etBgqzGa9lIU41ZLTUan0vIWr9jhRA+vtt5cq3RJEqhhGms/ZBYmoro1OTMONmh3UFEMVEC+XxGq50QJynWFkgZMc9yDg+OmeUlpbZorSmLwiMLNcY4bK0xLqRYRBHGWFZWVtjdHpBGip//3S/42198xcVMIxJJHElarRbaGsaznLTT4u6922QGZpkhywrOz4cU+Zw0jUljhS5LhNHESpCkEe/d32Vno89oPCFOUh7c38aIiFf7h8yzjHkBg60bXLt1y+ltUrGysYVI28g4RUpBNr2gnE/Z2txAZ1PE9Jy00/Pbx4PFYIs52eScfDrCyIRk7QZT2wJcAj5bup4uy4IoUawOrtNe28IiyEdDXj17xt/95Oecj6Z0Om3yUqPLjNn4wslNrTaZ0WSzGZ1ul+2dG3R6qyBcm7MsZzyZ8Oz5Sw4PDviTH36X73znQ1qtltfzwFjDeDTkxbMXJCsD1jr/2cn43L9qmz1sbeX0E9MlP/OQaeFiXE0Dhh+WRKUO2OD9NHVsL+ACkBurQwTCbCtBOkz/sBgqD5rwi0a6ZHixz+xurG0QRSovvltAtbJk8MqqtWiNy/ovwvla2Q6xcdpzgdI4yL5txkZ4gmGtcXB4z8CMrYDwri2+Hto6CHwgOrLR3hqKY6v2ZIWlyC2zXFeJ9hQuhl0bQ6k1COkZVYNEeSuz8+g6Bbqw3sOOIPYIiFI4q7sRCus97aUVFNoxQYUllq692kJmlIPnm3o3hFy7mP3mPFpmhE2CpxEVd3G/w901YTQWrJBVDDVGUAqD9GaBYKkX3mDglNhgxFGNN9aMsfZ2i8vz2gYBp1bI62CLBqMMVQ/CS9Um93y1F7Cf14kPiXBhCg0hDWpG6+tpbK1Y26qMmgmEbaIqYajBxEWjn23jGRptrpJBNnobP29cDgLRUOztwnxqyryBabklWAuOTmiw1TtldbNF+L0bF8ux9dt8AWGtQ21IazLThZEVpm5XqKeov4RxCkiIRWlmSXqwkNuUXLboqjFCW0oTcTJvsdkrSU4LZjirNzYIga6AsMZCm5QUxCrm+d5LrJLkxvDd/jscnx7y/gcfMDy+4Feff8XrvZeUBoSSqEghgCiOSdJ2hUISKkapCASUGtavbaM6XV4/ecn/5y9/wdf756wMBqgkIW23uP/wPtsbmxy92ufi7IxCCjr9ASMtkEaS5yXTLOfG7Wtc27mGnudkSpKs9NjY6PH27oDpaMg7b9/ko08+ZnQ04Wcv9xgRESnDvCjYvHuPNO5UOAoZJagoYaYt2TRnfnEKqmAw2MDmApNPQbswHCUsAoPNLzg9PacwGtHpE3W2mZUxMxNXhjxjBDERGxsDYiWYj8dcHJ/w+vlLXh6fcGe3w59+9yF/+eNnHOZnlGfnnKiIjfc/Qc80k3xOb2WFze0tOq0OtjRk2ZTpaMxkOkHPM149eUV7s833Pn2P1V6fYpYxGo2ZzXP2Xrzh60cvOZrNeXvnIYOo5NvjD3cIaxtrt2lS8xRPQJXHhsaS9rS5aXB1ZHeRVi28qyIyS8J4Rc/dU0Ep9cX5+EsHSa94PV7eCPVrvrBmfQv3B15Sxbo3lHTr0801HXcLXjxb875mnYOyv9Ay27jD1iFlQVkIOwMEUaSC5zfh+tohFW0wKlhbGyOsL1sIv0uOcxQEJ4gxbocjIUBo6q39fKdWCIGg+HgaU/uJ/LZ5SEqfG8gp+N6Lb8Izi2rgAipiYaSb82NhIjTuqQRVghFk8folde/3O66aiFeUsmC4JvDipnRDY44uPxucTWKxPxrzsJqijbpcVa1vqGr9zqWmN8MDftshLn1Z7tFmL4vFiws8vfEhly43hbWlBxsiw5XnQtsWEB2NzgoJLas+sEFUrGWCIBdWZVfyY935AYltES4XlVXOiVl52TWm1MRSkUhLZpxMVVHGQN+scbqZAGGcUhJJyYvHj+m1CiSawWobg8FozTzPefnqNa9f7zt0rXDIQFemR8fa0Cin28UK7t66xmCwirGS33z+FX/1419wNilQceKy5UuIE0WhS6bjIdlsTKfXprvS42x4xMnpGbPZ3NEAFZGmKXNrSNMEhWVr0OX+7W1anZT+YI2VwQYaxZOnrzg5GzHLDbkW3Ll2k7jdBenQSVGnh0m6LqFhNmM8PCWipNvtcDE+J1UpYmOHENNsjaHMRsyGBxTZBNvZRqzeYKYjlChRThnBCouxJZ1eh3a/hRCQTYbsPX3Ko68ekbRS7m5t8eTZPvMzhwyIVEQrTVFRhIpi4jglbXdI2x1KZz0lLzTj6Yyzswv23xxwbXudH/zRx3Q7LZ+fyVDMc7768mt++vNf0Oqv8f73bqCSNt90/I7t9Zx4HqDoQbFxnnxP1MXCdK2Zr6iFX+MTrDjotVdM7JIi6rjTwkKVVTy4K1t5zNdyvL/1UPPShuzvDWi2ddtJNI8QR2Zsnd1VWzBaeKXdw9y8Mi8bRgHcXEBbS65d1up6pwDhrEj+eQPOAk6AtPmF7ilPrkGa0LeOEfrd+Lzi6NtmnNe/0NZle/QA+iiwfOsMCW67Punr554PW70YLwAZJFpLDLKKobdWEktNrCyJtEgjKKwkMxKjqbancQzYEEkn0msryIxLGGZ9UF1pBcL/mQY8yRHDMFUWqWC1q4PwBhGvlBnqGDZXZi2yODh/QGxUU9MhFYRHH1DbUKtEew1m1phEDaC4L0cEguz2Sw8QR1E/UiWlq3TsBlEPC0tUAo6pkjRpK4itdfuqAw2/0MLhIP2BJTc4caOuFqr9UWvlNcxHV3bo6soosHyIZr80vSXBwNKo44KQuigJWGErZRpqo0gQcIUIpj2XgEH6AoUvy9o6LCa01/o21LkKmgMlqgFzgoqoGHBojwfmYIUllpbYowCyKnyk0fe+i4NRQxMxKtusd+fEhSa3EWPTYYN9VlTB3LSqykjrnglSWJVHRIBSltv33ubn/8Mp03KMUors7ZtsbF5jMhnxNz/9Ja1Oj97aFoXWjoGUJbosnNAglRs5GXlIf0FRlHz63n1aQnH4ap+//fHP2doc8L/6Lzb5P//lFxgzQgo4Oznl+HwISiLnGeMiJys149GE5y9ec3Z+xsrKCtd2d7HA6uYa2vRRwM1rHVplwe6DG3z4zkeMTs/4/MkeXx6NyGUbYUq0sGzfuEk7Sarp0Op26EY9jg5eMru5gx5PaK21aa2sMXp9wsSMSddKEDFWCJQuyUbnDMcj8iLDpj1Mss7UxJQ+v0dAgqkEenSx5QWzo1OO9vb47MuvuPPuTb734QfMhhJdPEPbOd1Esn1th8Fgjdl8Rm/QZ3djC6HdFkHlPGcym3IxnvL4+WuSlmGuS+49vMFqt8t0MmE6nlDkOc+/es3Pf/MbtnY3+OH7H9Dqdqp8Jd8ef5ij8mAGIr1Am2pDprunSagCqRAN+hQIR30dqBSARbG/GYYXztXCfNOgEDLJh+RwpTaUxm8p698bwqqEF+irsLXGW02oR6Uw1/VqevabdbVBG28I+oFJNJX8hecqluI5jb/X+BCzptLi5AgnN5Wlh+37tWRMMy7fNl9d1wMffuMT3ATjQDB2B3opGo80wxac5OP4LtT0Oyj6xns9tU+21zQQWF//uq/qw1ZjWvfjMuA61KmWW65+dqHsBV7pP+ximZcOP0+xlsX51lQUG+WJajZW592crGWnhRraBbZZ17XZtlDHhQpeRjtebp7gio/6blH361K3UAlOi11RfRFLVyooOlx66JIO3+iwsAavWtfLtn7R+Ff3vQii/kJbmvVYoAuNugdUi4Q6J0WY71CFDQeUaHCFBSSntpbS+sz7KkLrOdYYVOR2D6u3LwasaKxzWY+VsZRFyea1XayKOT58TRJLijxzuYDKosqwH8exlzki97Rf+9YYhDEOYSjdmLbSiI/ff4AS8PVXj/j8s1+ztTHgXRXz1YsDpqUliRSr/RUEliyb+235XPtHozHTyRxdlqSJu2+lv4Iuc0QrpTfocf/WNluba2xub7O2sYmM2jzfe8Pe60PmeYmIYoSQbF+/QRLH1TpotVuItM1oNmU0HHJ2eMj2jVsk7Q5yOqeYjUHnIFxuN2lLitkFo7Mzt2va2jVYueZyJFhdORtdknRLlLQQEmajE54/ecaLZ89pd7q8d/8BSbvL64NzyuNzVBTTXenT7vZIWx3iJEVKhVLKGU11QVFkHB+dsPfqFdPpjPFowvWdLVZ6bawusdaQzXM++8Wv+MUvP2fz5l3uffQxg63ryChZXg3V8VsVfSUsusonXqUHa8T0ioVFFfY5FniPqK3vq4X5mtDUMN8lu2jwigtTeWgrKHADKhwsvy0FKrKcZJKtzNBuWdCCCOEyxeNAts7A4DxJuYZ5oRHW0oqkg+lbl4hPWJBKYLT1nng3z6V/d2mhMBpT+iRx0sV/aWw1+OBgY45b1W2tw+0DDNF44uFj9WUIMXBPGCM8tM14pdvBZZSwCOlgaaEf3Fi48XLZMgWZEZS4TPGlcVvdaR+zFowcWOcZjStDg0t8hbHECFqxW9DGwLhUXBQSY3zmfBui0t34OFXOzwt/LfyFTPhhPpjG90rYCJ5XT1ArQcHPvxDNH/rRGYtENT8CVW0yolCn5rUqtr1xn3tL/RlYQc0DbSOfhDt8KKObj1CtjfA+BbRUiYVqm5TA9EKvGd//4d0G97uqj2iwGVHXNTwf6letCWqht8lQw7nQEUF5coaQsMoXY9YrRleFEEi3Lv3b63Uf1mwd5rAg2EpbdXowXNgGYxLW04CqrY34UILgYhvhC+5PVuepLAtSuG3YjB+DfmxIhKYXG29sgGmhGJUKbSXaQm6CuGSrvhFWMLE9tjmhK3NyEzMs27TXYlrTHGk8jWqweUGdVCok5bRYbn7nT/iX//r/wH/8D/83ZCrpDwZIo/n1Z7/i7Xduk8gTfvX8wI2ndmVK6WLxrIfKCandZDEFW1urPLi1TTYc8vSrp2zf3OK7H77Nv/23P4Gkw/rGFiuDVX7w/T+iqw2fv3iJWeuxO084e/0Gqw35bA7GsL6xzsbGGnqeMXp1QbzS4d7Nbd7eafPwxoC1jXWOXu/z6s0ZX+2fczzTxGnhvJZScv3WXSKpatgubq2Xk4LXR6esGMvW1jZowWwypjRjWltvYeUupRVIPWd8csL5OCMrc9ZvvkNJF+PzeWBro1pXzlHlmNHkgsM3b3j84iXf+eN3ePfddzFFzOHJMW/OjlFrhvXtde4/eIu57ZB22gzW14ijCF1mzGczzo6GfPXsBXt7rzk4OOTarS0mtmDQ6VDkOcPRBW+OD3nz8ojz4Sk/+POPuX/7PkYnnIs200tS5rfHP+YRaE6trNWidlM1q0V4LtGScFTIgFCWZaHk8H9ZCbikjVTXhRfg8Ul+JYWGeQktHertkmgGFhCMnDU9dxVxm/54flq79it6HpxpVUCjDYqw+2zuB+3QhO6EaRRVyV9LWmmVa8ZQQflrXih8CKB1uUNK47bH9JB9ZwQQl95lvKNhQb6zdbtNRbxraTHwDyUkwWtocQ4M4RUiY4XPRh6cL3gZrgnVt9XoV3y50d/N0az5vJ9RC46o+ubqnoWLl4/FNy2eafK2q59r/raXrjU/K14c5Cs/boGjNUSfS/OtmifNuSXqOdas7zfXVVxxrvl7udYLYkhTMGF5rV612qp2XXE+zKCFIJXGYDedJmFO17IKlTFx+dkKru9vlktjYhp6CSKgJZtyE0S4LeIS6RNQSrsg85XG6SXa+mTV3tHhkJ0OJVsY52iLowidQak1ibAkyhDp0kP8haMtHtmLdzQJT3+UNQyu3+bTP/sL/ur/+X/BSkt3ZQWkM6QlrYTtzXUGvTfMNC5nhzELbXXeE1e+sZb11R4bqz1evXzJi+cvuHlrl+u7O/z6i8c8e31EQcTmxjrXdrZJ4hglpdv1xzjF1ZRBtoE0Sbl96xZlMacsLUmS8ODuDR7eu06v22JlZRVjBV9//ZgvvnzGaJYRJQlZDhCzvrGNUjFQgtV02y06KwOO3pxwdDJEWkGr3XZrXArOTg7o75yQDrYQKLSeMz47YnR+Sm4k/c1b0O4RoZFGIzCVzGmMcfLEaMzhq+fsPd9jZaXP3bcesLm1xenZBRfjC1SiWFnt011Zod3tEiUt4jghiiIQAqsts9mEx4++5vHjpxTaEict8jwniRTT0RCrMy6GY77+8mtmheWf/zf/M9Zv3GWOpESioviK1eKO3+7RrzzqLFiBAwTX4pRb4Yl4gHopYWhLg5LGxZWXEUUjG7zAMTtngXLcKBCrCpdErSzVor8zPjj7koOQ9xNLO7HMrWBewjy3ZKUhwikFwm+vF5i62+sestJQlk6pn2mNkKKCnAlcjLkFD+MX9eIOsDNrFqxxAkcctbFkpb9uG95WTxcCtLmsGHOzBBfb53IAOKhuaYyznFtLoUFr7/X2XRVJR2CiSmsXYAi59dyCt257G4WlMI45JgJHcJRxe9jGpiJeBkEKtCNLJARpBFK6bWmi3GBmgrkvJ9gyWIi5t55INVidDVZYT6htExZe/7k50mQN9Ryoyg9CgqDOzN+YL4EGOwXUNhTMwAAvQ/nCWAYBpW5J3a1i4VoNy5feWxxaW1ofQ4NASkMv0uRGUJaq4qAu14CmQHqiWddHNd5xWVAN/evPV4YDV1knQ5kG82wwfM/WmrspNA0gbn7W4kjol1pcck8HmD5+HddjVY95ZTC4xLUbA+T7ISANgqBShUdUc6ZmrJ6HVf2URg7XUWjXV4ly5SlpSYRBW+inhpVYIxvQ/kQaWpFmWkSMS2fJNRafr8K9WwvBWZbwcFXRZsaQLrMiodSCgZqxX1pMY5QqV6MIc8rVWwpIUsX3/+Jf8frp3/P06Cm71zY5ePGMt9+7Typa/Mf/9KVLwGkD6sHB11xdDCIPyTlzBJb7d64Ra83BwTGrW5t8/NGHPPnsS379+pxOt4vFcPv2DqkUWA29dpu9F3sUnZjBah9evKbQJZ1Ohw/fe4tVBUfTEbP5jNXtDXqDLjd2V1hZ6XB2cs6jRy/5H3/5lKy1RqfdRcURJpsxy+bs3r6HRfi4PVBJzMb2NV5+9muyWUEUFbS7A/JZzvBiSGejTWf+klm8DiLBZmPOjg9dPpEoZfP6fRILmafFQQht25zW9BUXx684OT3j+HifBx/e4YP3P6QoJJNJxlefP+XN8IjvfXyfazdvk/bX0UXCxsYOkRBoXTCeTjg8PuHs+ITD12/odCL+xX/15wz3Jjyff8bNdsrZ4TlHz4+5KEbcub7DJ3/0Fhvr1ylzyygr0LFamtzfHv/Yh/QKYuAttXHX4busdcZtEIQEVILgYffyiqm3Vqvh4L4YzyqWNZpm/G6tFNTcI8DRHWS/TjBXGsu8cHBSGTzjTYgvQdF15TjF1FRhhME73qTtYfeQSi1aeLbhVadOjBcS4jVRhc4wUHveg4BS9UXglwSPvvX96mScUjslvzT4rfWodu6pvfRN6L1rceWoEXW/Cgc7BCGR3uERKeH+pELK2lttjJPfCq8U5cY5VHLtjBCiytza6OClIV3QK5eOoCjW1y3L8dtVWWLphGiMa/Ocf+EyP7QsvGahvgv1s76vbOD79TnhZYFqnCo5p/HZCIsM5VaIiYWGiSovgh+ZhWotd5mtBYSru1N8Yzc3b1m6qRa0mlD/BTFCLNy9cLKWOC/V1l9vyKD+fLWmhVgYgqqkhTqIqtKhLFuhXxqyUAMJo6RLA50KQ+Ll7Vj6XF/UNKA0UEg/t02dgM8KVY2zNk7RlkohlXRJ4bAkytGfClEraMhmAT3gtt5OhETFKT/6r/7nHDz7FYfPP2NrcxOQuJ2/JOPJlKwosFbVNKvZOdbl83KCk2FzY418PiGbjrh37yZra2tcXIzZe3OKIabVbnH9+g6rKz2ktCghKIxDRBuDc2rgnKa3bt3g1q1bPH70FbrUtDsd7t6+we71TSyGyWTKl4++4umLA7SVJGmLeekS6ImoQ39tHe1lh0hIpLIM1tb5/Mtfuhj+ThdjYT6dUhYFWM10eEyr2wUbU87GnB28ZjYdM1ddrl9/gBURosjBFrhdwBz3kDZDj4/ZP3/JxfkZN27eYOfWHVYGAwTwxVePOTw+ZWtnh43NddrttlPw4xjlEx5aazg/PeHRF19wcnbG9vYWaxtbnJxd8Pz5HkIKxqMRB69fs//6DVu7t/nj7/4Ak6ww127rdYNAyKYLcvH4nVn3Aw2uTgFt5ZT4mXaeXSvryR4rTUeVdGKDlA5qMios40xRGOmTS9SLSxBg9p4BWKf8WxsQBEE9cdawlnTWKYWlEzsF1Qi3nVtuJedzQTuztLHICLRQWOk8Q9a6LPWFdsljMF7JsBZhqJix8cwM6xYjwtWp8kB7WmTxFmZrggrkibzF6mAgqMMEAo2ordyOO9YZX6XL3l8JErayyBvj9px2cDlbWelDxtrSmCrZnDXS00tLW2qSxNWtsIJWpImtwBiXBTeVllRZksgSKzfYAZkQrPNKgZAGJaAVWbbahnkpOMtjpqV08NqgnDcEqAB1C8J6Bb32c0sEj4ZwCruulMSgjjpIXiBWdXb9hqATxqfG1VUcQnoF1cUEsmCtDTQrPFUZRlyTF7z2zadqL5Dzfksglo6AG2/8kDiCKoWlrTTdqCT2iQjnpcIKR/i1Ry+E8mr/VN1PTY93bROqWW+AoVpEteWjm0vC2xRqNE1ot/L9ZSvG1vAGLMzk2jYe8m+E8SHkevDlO0G6XsO1saae9whIpUOkSAWDyO3JqoRlZiSZdvuKSuFDM7zxSAlvODI0tlf0DFQ6YdN5f2Al1rSVJpKQCGeMU8oQSePXlQAjSRTOu+8Jd2Fdromp3/oR4eD/U52Qo1iNZhwVlsLGjHREL85IcsNcqIX5hJ/nkrquFrddplwd8Of/6t9w8n//P2KModNtszHY4qc//jWPXx+79hqHIhIEIw5OgvYLxVoXX7e93md8sI+1Oe+99z7nJ6f88stnnMwtcZKw0m2xs77GfDohkpK0nbK5tc54MibHopRkY21AYQvee/9tehaGxyfMJlO63YS1lZi1lRXOzs751Wdf8vTNBd0khSTGRDHKwnA8pbe9RX9ljaL0yKRgpEhamCzn8HTC2w+2sTlcnB4zng65dbNPlA3R7SlIxfj4gKPzU3JT0FvfpNftI6X2aAs/BzB0zYRodsjofEgxOefBw1vcefAOsrNNcXDC6dmIg/MzRBpz/+F91rrrzC+mJOsrxFIwn8x4tf+avJzx6skrJuWUD773Fhurm2grOXs2AQnCal4/2yefjnnwwV3eufMOSkpMbphNZ5xPway3idU3M9Zvj3/4Qwqf16NS9muaVulHweBqnYIfS0PknMJYoNCQaYduK02t7AQ04jJEnupXUKwWFSm3Ta+Py5cWJZ1QpbwcMS9cXp1YhpAk3ByrKGutdFlrvKfaxb4vvd7TcyeXLMCql5V8jwqoIPQLn7VMgTcGUCn7jZeF/vQvCNwhPKsbSr42dX9VyIggB9j6vC+hQj9Y4Y3hgQsLt1uBkpJECZfMUDaMJIBVwofShhxJkJUwLUCWYMuGYaHJh5oW6aXj0ukGv7p8Y80zF29u9p1YmpQV+6W5C83CAIulUzT5Z+DhYRRw8pMI/LoOQXVz01ZzNcy5yjHg+9oEvu65fVPpD+C7BaNDLYjUjO6q/glyVC2hXd2XdUsqnrHc8uqZ6lV24fSCONn4HYxhy4iL0D8uvMbREyVCnhjAPxfyZlmkb7ZYMC4s1FPUtKWqbsOYJYWD6afC0lZO1k6lIZJBq3GyvRWCSEAsoLCGSFu/W4REY5DWGRHxdRMCokg5emWcQ849ayuZMNQt7KQVHCCxlAhT0B1s8hf/+n/Nv/2/HhOnaTVH5vM5+28OyYsSoQQhD5H1i3wh9EdApCQ3r22gpGGwtkqnu4LRhq+fvuTJywMyDd1Owkq/jxACYzVlWTKbzUAItrc3ODkZcnExJkliPvjgfVrdHnnhdKN+r8tgtYfFcnx8xpPn+xyejumurGCQzIuSMs8ptWF1fcDK6oAiz1F+URgDK4M1huMpWijavR4WyLMMawxbO9t0ux0kJVYbpsMTzg7fkOcG27tGa/MmVhgkZbVurFBEViOmp5y+eoQpJ1y/dYutG3dJuytg4cmT5/z4Z58xLyxbW5v0+yvESYJSEVJKsIY8Lzg6eMOrFy8RUvLO++/TW1kFIbgYT0lbKa1Oh5OzC0YXF7z1/ofcfucjCtmi0JZ5kZMbUEmEkopvOn5H1n2oIS6QKENHlg4CKw3r9XxyypGwRMI4C6xwUGVpBN3IYjDkRYTWTgm1XpBWfvEWCHITIlsXKKMX4i0tYUiEoR0ZkshUll+NpiWd535eWkxuIZYuThxBWXoyZgXaaA9TF34Sh4VqK8W0NGC0V7QXe8OpNtaZKlwVTa3II9GmQrVgrUEbtz2ftbZKzhcEChca4Ep1Sqj3SnilKTBw463xWrtytDZ+0QnHOLxrXONh4D4sIBBwDZRa1EzdZ1fU1oVmeNSyV5p9kIYJClfwUFikcsOi/Bhn1mCsZG6osuZW/RU056aySa1cV/d4YhkYS9PjbKGyJgZoeWNiUjERC2G7vup/w/MRWFpNWoPAQRV3v8BbKo3fNl/VEPS8NU9YEmFpqxIhjd+6UBFLQao0sbAk0qCkJhKCLoA1zE1E4Rtd79RgqwR+C0yj0WZlQ/hHo0cFXgL0rbJ40ckgRQidqEsMvbYYutB8m9/ekGaUWHjGVr88mIwa4hgEtiA+1ALdINF0Io1BsNUx5LmmlUpWUpcmMdcwnAsOphGZUZVRRoiaMTpDgPSJMd1Ihlj+wMCUgFha0sjQUsYpBhaEFCg/ngjQwiCUIMLSji1KaqZlhDYxsfDCu+93jeIkb7GWTlBFSUHERdnmWjImmWgKFMbTp6gSpqTPDeJ6SwFowaRUbL3zCR+8+0cU+Yybdx/w+a9+zdn4gmuDHqfjCU68qEfKODcZUrn4fAGk7RYfvn2LVtfw1rufkM0ynj95wc+/fkXU6UNp2NpYpZxNOdw/4OLNAQcHbzArK/TjhKLIuXl9k4vzU2Y4z4C2Je1eRCwtr18849/8+UNOXx/wm8fPQAv+4k8/JZ8Y/l+/fM0on6EwaGP4+NPvo2zsaBO22mN3++YdimmBSXuk3RuU8xnDw0P6W6usdDaYZzkUY0TU5mzvGaPJDKOh09+gnXQoDFWYjkWQSEs6PWd69obhbMzdh7fY2r6GtTF5UTIZz/nZzz7nV3uvWFnr0eu1KcuCpD+g1VplMpozHJ5wdnhIZubs3Biwe+cTUpkwG88Ynl3w5uSI8+mQ8aTPyvoqH3z0CWvrm8RJCz3PuTi9YJJljMWAbtIlSX+7nfzb4x/2UNKF8lVZ2aWj4QFbIYVDUNUZ3mtvPjjeWEhBIgW5NpQhgWyDdwUPuLZOkV12cgQBPgjxSnp6IYI3f1HpD7l8Ci2dIVYIh7hbUhyWjQpS1mGRQXEONwYltvlMXX9bw/cDvzC1cn/V9coD3yhDUL9S1Fpz7Xjwn9qEcsE0rA+hvCZaIWgGwXkkvUc6hFgJ4dqtJC6Wf6GDqPJBCYs3sNcxz2E8gtHG6hDL70cuaGM0OeFC8Q3ZYVEFtSwprw15YLGMxXfUMo07UZVTdewVuv7SvBCNz0bvNuaiRxV6eaRGYoQwviBb1s9bjwywPixWiMBR3VgEM38zb9FCvZbquHBKXL7elDyu0pgXpcMri18oX1xxDuqiA+S9USQB2RNJ673qzrOeKEui3LoFJxNXOzdoSW4k2srG2+r1F+ZE0B+gntPuu/XKu6WtjHO6Kevi872sEPKEhTWnJEQWYgSFEBTCUFqHBI18bi6H7BDEystpRpMISSo1hVEI4TYElx4dHEnrnSW+TlIgUejS8tY7n/Dx935IUUycHGqdPpMXpW+bqOmBbQSy+s42BtZXW7z74AbtRCGjBG0M+wcn/Oarp5yPZoiQ7T7PODs/RZcZJycnnBwdgUzodPpsbW1ycHDCxsaA23duMZvNKUqDimIGqyvoYs7BmzP2Xh+hreCD9x6SFZavn78i04bSCnINOzfvEre65IUmjiQGh+ocrG+4ewwkHRcWOJvOQQjiOMGaEp3PMdZwvL/HxfCCXEva6zeIewMyDEjtFB3l9NSWHZOfPYVywu6d26zfuEPS6oG17O/t8x/+w19ycHhOb3WdG7vX6HTaJHGClBKjSybjEfuvXzGbzdm9fYfB+qaT87CcnZ1zenaOtTCZ5XRaLd756BNu3LmHkSmidIkTp5MpstWhFSdE8pvlkd8pqVgbhHhoC0M/1sSRRUnjFD4hqyz1ddyxofS6h7SCWAj6yjK3ltJDsxJliH28igGmRnA0TynKyKsRXrnz3r1qr23PaTPjhN7COoYaK+jFhq5yTCIoI6aanG6iRsJZifUCpXBQEvBKphBIo5HCqTIuHtwToYYCGbx2ruzAMJ3KWe9p6Q0BxkE0wn2BaWpTsxjHJ02l8Fqfqb9mzose/mB0CMYQ48er9PXRfiFa6+KDImkphXVb4vms+Npa5hooBG1cXwo8LAeLtZoA83bjJrwBQLCauD0mTBZhtFxILme9soY/44SVwEQD+1i05QrR8GL6/mhaloP1WeEMR+6M8B5y13dV4pGGoaiaN4R4/TB+orLYBkmkySgRdUI/MEs8yt0VyRLl994UElKp3W9vbMmBUitvSdW0I4stBTPraqwIxh+XTMWIOhzBKdfCrS9sHb8uGlZ313ELfQZUBgR8O01DAnHZq/34eg9ZmIWBeVVQ+cbclNW4hp4MQlaQOkXFTBJpaUeGdqTZ6hr6aYnbl7U23FnhMBdJYUk0DFolo9wljFTSb5sohFPyS5ffwCKqfAZoQRGEJU9/Sitr4RLr5kND+HIQOY+isdYn0xS0leuEVEla0iCEpjSCXCsy3WYgDuipgpGJOc9b7HbO6MgZcyIXIycNqXTClraQSMfgrZfqpYd7EUl++C/+a/TZrzjce42SJd/58G0+/3zfUU7hjTjGeHphEVL4rPuuP9Y2+2yttlhbTckmM54/ecZf/+SXAJydnJCVhmw+pZhN+fSj93j3o/dpx4J/9x//imR9jYc3riOHGoXl008/YX2wwunea6ZZycrmBn/+o49Qkzl7r99w584NPv7oO5wfnvOXLx8zKkpkOyGVirKI6Q+2KQvjlQSLsQ5+q6IYWeRoBL3+LuOjX3ExGXHt+nWUjCmyEcZo7GTE0cErZ4y0hmR1i1jGCGvQQlL6OMauLInmp5TZkN0717l5/yEmh3mWMxse8eO//ju+fHVMKQTra6v04pRZlhElbafID085OTsm6ic8uPMW3bhDkZfkRcl0NGV/75Cvnz3HioKt9TU++vBdNvoboGE6npHNpuS6YFhE9G+/RazaRFe5eb49/tGOIKwq75GLlBOkI2ErQ58SNX8SQdHB0TFjHLxVIpG4bWXryFNvzMRtqZtrd043POuLuk7D6BvkXuHiapU0ToGI3PuwDsVkrKiTnjbKa/LAuvz6iqfUNS0OHrXGg80s99Ve99XnNyv6ARnYRAM0y2qWH2SW+j228b76nvoZ/8diqBxQeRoNNXouKOuBB4cuCPQ9yGC1GcLnRZCQ4g05xo2fCytuGM3Dl1prXyg/xONXSmlQGpfHpFImReN6FdhQXV9WBhd6xvMssdAh0Hh88Z1Ln813C4KxozYsB4W/2vFn+TXCy/XCVg4S499dheVWDqeF6jWEjsvHlVvUNc6JS61bbJuXHJdPXmp/PTZ1OESFWBDNe5zEqDx/DiGqvUjTiTUtFUJlrXcsuPmaG0GmJaNCMsols1KRG+VoyKXqNQet4cnHekXfhRAmUhNJh0SuomyrcuoQNWGd80N6PSUSYT4Ljxx24X3C4uD7wrqEfD58NBYhw75AKW848DTJ0URHH5WMEFYjRML3f/AjDp//El1qrDYkcUIcqRpF06A9lZ4fokOx3Ly2ye7OBlGkyYqC/ddHfPn4OdO8oNNtg1T0OinS5IyHJ5Q6pywyzs4vOLvIaLWGgKTdTrl1c5duK2F4eoLVhrSV0u110bogieDenWus9Nfp9Qd8/Wyf8XTOXEvy0mJlwvVbD3zeH6e7KCXAGlZXeyRJzHg6R8YpWZ5xcTFhc3uTSCnKfIa2mqIsOD0+oJjPKLWlv7GDiluI0kmezsEnSESBmr8h1udcv3+L1WvXSbttTF7y8uVr/vqvfsqbgxOSNGGw2qXbaQEuH5QuSmazKUdHh0gVce+tt+l0VhDCZZLLsoyDoxOePttjOp2zujrg/Y8+YLCxCTKhyAtKY8hmGRjNSm+FKGnjwi6uPn6rou+UYje5lHVJxZQXZpVwkyjE8VeEQDhG4TxoLoO6kRKEpYMlF24blFhYOpFTngrPEIJltoLS0YCdCOsSwuHg8lhXhjSCVEJLupjybmKJY7cdRGktUhtiKTFSYv0+ec2tXZqEwyk+oLWpIU+4rcaqpDiV2CAaEPfA+EzNHINC7j35xiesqRlq2CKnodDjrSOB+QStypelXeWrcqo6+TEwIfVXI+6/8um61OMoLK2o9FlpRZUopzRuuy6nvDriZwLh9Axd4OBFQgpKYUkktJWmiFwZufEGFILhx/MFE5RNqszooZvqZCS+vt4au2wACD0vsX6u1MwzGBiUF0RCMrvAYI0fs4CUkHWX1Uy3ekPN4YPnwNYc21vka6h8FQcqDbIyuDhDijayysJsdMi9YIiV8TsfuERCTuF11FOENRTqSYhfD33g3xgYWz3dEPVVqpSBgspqLCoJM2yf5/Z2bxpTanlIVuMo/LQMAm0QLlJp6SpDpgWFdeshUpadlqanSlqxpZUI0tgSK5y3N9S6gqW79nYiN59WU8fUZhpOZhHTUlGYesIIAf3E0FEabWBUSHKftE1rwVxAJwrGMeFj3EIMncb6DNFgfZsEsYS2NHRjlwVW+/g4IyVKGOalot1T9LMxGSm5bSGUYEWNmdoOqTSkUpNGzsgjcB7oSDlu6OLqaqErXd9GmE2G+3vcvXuHx1++ZO/oFK1L1yHShcK4rwHz64hCqS3vPrzBardFK055/fQVjx695N1P3uW9ccn/6d//gu7mgB/96R9zd/c6W2sD/u4Xf8/G7iY//OGn/Nt//594vf+G99+6T6+/wo0bNykzp9hIlZDGitvXBpweHbBzd5c7dx9weHDIo/0xrN2Bp8ckSPR8jo0Ua1vXa4ItcFvTSEFnY4feYBuTzSlLzWg8JxeaVqtNMZ9xcXxC3j5Ez1pkxZxcawpr6GzuglQoDC1hKH3YQmQ15XRI3BZcu3UDdMJ0OuL44JAvH73iYHrGar/LuNRsrA1olZZxVpJkmtnwgNPhGTIV3Li+S7vdgxx0WVDOZgxPhxy9PmX/7JQf/def8qc/+GNWkjbSCobDIaPZiDzTnE8L5LV3kK1VV8fom6Fy3x7/8EcsnVEueM1jL6hHwtTQVCFqoR+88dgr+kogtMBI4xM9LioZFc+RzrMnDdXeyu6oabBTSoX3QFsP33ceQqdQQBK53wFZVeW0kjXfWzwCEa6NC05RDjBkW/2GxXwydcK9RaXevTPIO7Wjob7u+W2QTaCRCJDFeizXy/MTU9VhsRl1/X3/2ubvqqsrfr9gZKeWCwLqrvKq2xqrF8YjjH1AWDh6H1CXjnFVfN4rdBVPD+9n8dyisikWv4krzjXaXF22jbIb7Vp4Z6OQxTlJJYew1De1Qlnz4yAfCUBa25Bhm5/edy+CnNiolfBbUoeX2upNi30Xvl9qyILUdpXz/hKioVIcG2286hBXfYraMFTJYg0Uj5KOZrSUpR3Vf6lysoaq5Jn6rQZIvXIcCUOqLNPSMikMedhhasHIE/p0cTeNMCYKQyzMgkEBFkMLAr1yNoNgFgshgBIpPVrGOGeBtA3DpgSBRlGSCIdWUoCKZBU+6u5zQpwISCGPQkLA5s4u/SRnPtxn7nfRyPOiMrxV6zzMBz9JhXAK5I2dddJIkBea8+GEo9Mhcdpme2cHLY6JopRbN65x58Y1er0O2pSkUcSbNyfMDy8YjTOSOGFtbZU7d26hy4JsNgNriaSilcSs9rv0ewlCxoynBdPJhOF4zkxLtIjITIZK22zu7Fa6lDZ1iFPa7tFZWeXkfExeCsajCaW19PorxLFiPh5RZjPKwpWdlYZSpAw2nHwjjXaGFuGcpi09phzuuzDH3S2itIW0Jfv7R/z4b3/G2XDE9s4W5cEZaRojlaTQJWQ5ZamZzzP6gw1WVwcuMaBxemde5JwPL3j2fI+j41Pef+chH3/yMaubGwgVUeocXWZkkwmnh8eI7jpJ0saKeGn9LR6/VdFfS+bEKsR3GZfIQVli5faPRdS+2ZBDHnzSHDdTq2vSCEQEVhiXEV9ajHAC9dRIJkWEMZIGeL/y5ktpXEiAL78dOabaiVycfojlShSoSCC9R1VbZw1TOCuXwsG9nBdTkFs3qSvi4Zmpsa5uUoiK6bkrzkrkIPPei9Wwaofsr9Y29pi1Lp4N21D2CcxWeOODXRgia/FWV1sRodJasNIz9DAmTg0Mme9dHd1CdNZVB1txcfuBiLjypV/0VR4c4REGLgDObTMhqCzdWOuFGucZwWfhl7IWdiJcxZsQPmGpIN+y8T145w0NJlUxZU/oLP4uWTEFI6iy90tbw8tCDyxupSgqaJ+1opqjAho7R7heu4KzL+qiYW7j4y9x7ZWeiMbCzTnjM5EqXFy4EhZrJSWCwvh4OhzUqhQWbSIChL+Z0d+1y/q21gEHgcEH58mCwGMbFnxBFeNeWeYbwkII1xBecGzGn1aMXbhcArWQ5OsgoKUs17s5ncgwz+GicHu79xPNakvTVi5HRhxJ0khWCrDFEbQgHFrPRaLIoqyDrFkrEZlgoizaGBD+eQtJDDdWCrqx2zFjmsOsiJjkktwI0rgkEiW5z7lR7dNuff9YU6M7PJMX0s13t3O9IRIhYae7XpCSW8F2a0xZdEDArIDtzoxplpFGDg4opXHQPRvgu27dIanmvkAgjGF4dsztu3c4OTjgyasjciRR2vZbThlcmlM/utohWIRUYCzXt9doRYqjw1O+/PoR737ygLvXb/Hv//1PMAJ2b92k1+9QmDlSz2lnp0wOJowmMz74+D3+6q9+ys8nv+b+Ww+4fec2qTbEUYuz8z16mwNmx4fcvbnF9sYWJ28O+ezrl3Te+ycc/f3XzIsCI0HnGVF/wGBts1or1k8yoUEIRbvXZzafMSlhNpyyfm1Ap71CcTIkn43pTp9zeiLRpnBJcQQMNm5Rmsh7nATaCAojybWgi+D6jWtI0eLi/IzjFy/55S8/52A65XsfP2R0rriYZLRSy3w8Rgy2WCkMs8mUKFbcvXePfruHmWVM52Nm0xmnZ2O0LYmMobfe54MPHrLSaiM1zGYZB6cnWFPy7OsD9g5Ouf8vdljbFi5mv6lpfXv8ox+RMN7L5eCosfLQVOF3CwmKT4O2B8RR+G2kRRlVeUCrLdcqbzE1raDWRZpHOC8Ejk9KZ+BMlaETabqxJY1q46YSjndb47ZqFUbg0+hUfKXWmWpveqhX/dvXcUmRrgwAV3jrA8TeyS4N777f9tdWRoCGol/JF1SG88ozb+v6Ymn8Fkt1C7/rFlbfbc1Hgi/D9aeoPfqV8tMIGVt4t/thcEbdsDtRuKfOA1A/F4wr1l8P1VzQV5c1yaVxXzi7eLlqWsWf/T3VHGqMoa9ko0GLpxbeV1d18Xvg+6JWNEUwjIhvUI6rFzrmX4FfGxUIcme1RTW1539Jl//Gflg+1+zOJRHtUhuXF8WldjQ6Qgq3/pwy7ZTq2OsoicKF/vlto2MfUhMJp7/IxstE/bpKnnR5fJynPFWGubbMtc9J5WUx5b3lkTcwgEuYrQMS2lp/zbjwVz9W1Vy2ddtqN4hDqBqsF9AsGgnCIK2TKRWOtkgMwmiUlKRCoKVzfDnDo9OFgrMJIbBC+u2i/RbdEqSxJHHERTZnNpswuhgxz7JK76urW4d6hIFII8Vqr8N0OqUscqI45p2HD4jilEdPXzAcjuj0VtjZ3mRrY520lTCbTxkqhTFOTyoKlytpd/ca62urTKdTTk5OmYxGdNKYjbUVBv0OaSw4Ppvy4tUBvf46w9GEWa5RSUJRwsbOFmtra26XIh8+HtIbCanoD9Y5Gx0xnhdM5wWtTpc4TZhnU85Pj0EqDJBlBVlhUe1VVta2Xah0rbi5Lc7nYyjm9NfWiJKUIjc8f/mSn/zkl+Sl5TuffofxZMarN8doo8nLkul0SqI1QkWsrA5YWekTxzHWGgpTUuiS4cWQ8+E5WZ6zvr7G97//PdbW10AIimzMfHjCeHjG8PScw5MRGw+6SBljUNRS9eXjtyr63VhjhIvDEtYzLuXg3ZbgVfVxPZ6CKuESWIRkOcJblIy/NxJO4NXCLwgjmJWKrIgqaLJPh+UJmyVkqtdAS4RkgDjlQFmiCA9TcXEpUgajk608twHyjwwQL1MzxrDirLO+K0Rl8Q4EoAoACAzQ1EqKBUokxmq/FQU+O6z1WSU9U7J1Nt2QCReCRbyx+Bvv0V49dfPMEJIKuuuOIzoDQ4iL9gTL31OVXUW+16RN4GOKZBBqBNY4eL9FEEnpoUYWJdyo5FYxNzDVMC0lUy3JtGOq3chQWMGslA5dEJQbnzFPe/Ozq9sitFJWjCV4YlxfGG+VD3NA4CxqoSBhfeb/irvaiokHIWWByTTKAR+rvsCUbV1vX0i1SASV50ja2hjlYq6M3xbF3yrwhgADwhAhKk8xRG5d2OA3ryHbzjDiLPIBFiG9sSAIIgbrvdQ1CwyQoko+IqBtGoxM1HPLnbAVI639WT4UwtqKwQchOpQTC1hNSrqJJpZuR4c0LiitII1cnLaMIPIetxr50ADKXhJuwng6mtFJYTcqKMuSeek881IK2jGsdrTbwsoKosjSKkv6baos0Na6XTNCZtRK8PHGqmA8qiLOfB8ERl0Kt54cekiRmYRZmdCWM1oqd6WqlCi/oBeto5SDyQkcYiYo9AjqOM1qErr5uXvrNpPjL/j8y6/pd2Ok3xrHVok83CDVu3s4wtbrJGyvtpmPxuy/fMG7H73Fw7fe5ctffsWpTfjoo3fpdCL2Xjzm/o/+jF67x927dzg6PyUqTnm195r3PvkYSsP9+7d5+fQ51sKbV/s8f/mGdz+4xd1bO6y2Uo72D/nZz7/ix88O+fMHf86jz7/A+twoeanp99dot1ecMmKDp8M3Oo7p9zc5P3uCjVMm8zYbnRSj4fx0xNzMuR7PULHkiTHoMie9dgsTbzAqEgoboJKOvikLWyttWiLl5PUhF2fHvHq5R2e7w3///T8jKmL+5q8fM51NmF4UnF7E3JYPGZ6dk651ubu1TYykyOeUec58Pmd6PuVXf/8FOzf6TMqC7/3Zh9za2KacFYwnU148e8WbixM6aUp3LeX7Dz4i6vUq5cvUQcDfHn+AIxYGJTziTIYtSWuFvOZtTUWnqRWHi9WCrJSvYAgO2a+113qD06GpBAgv30jheEMiDd3I0ksMndgpFi6pXENxDXzFgJFUiU0rBZmmrBFki0WF31T1dUdA9Fmo9qRfVPJrpd4SYvWbXn7buHZZ0a9zF4RdCmxlGAmhT0EBYKluNY9pdn2D0VLTyHCmiRgLxgAbGKK1nr406tDgqYWBTENeOpkyXAcnG1SGioonNrTNmk26WjXq0bATVEclPwk3P6rwB39/EMBCCGOje5YKs7VsYhe6q/rWVHKDN9jJS+4Iu9ZctQaabL5ZXhjjoNSHMkO5oZ+xAWUaZCuq3D42/FjqmLq5jYb7a0t31+ds/cyVRoDwszlX/O+Q7C6RLkyw5RX7WHn5w6N/lAy5pkSDNtB4X6PX/EA6mYBqPSdK0/JbXQe3hTM61ogirEVHwieqFJXRMOS5CnO7KQPVKIdaHrP+DTKIuj7o1Bl0nAMm5CBxwbouXNBa7ZyUMkIoVRk6w45DIVTG6TYGazSYkjKfMRmNGI8mTCYTyqJ0iOKwDj1dCdNBeETA+kqH7Y01rLYgJL1un1anR1YYxpM5o/GcwkjGowngEIrGWObzHF1qIqWwSUSaJqx0O5RFzuu9I77++gmzyZhb773Fte0NSl1ydnbB0+evGY6mRK1VTi5mTAtBK43JTMbGzi5J2iKE8BoLbjdlg4oT+usb7B2+orARrW6fVFnm0xnHh/uML85Z39pyYRLGOeD66zeRSZdCG4QRLru9tZRWY3RJt9sjTkvm0ymPH7/giy8eMVjf5J0PPqLb6/O3f/NThuM5nX7BZDJlMp25evR79Fb6KOWSKZbaUBQFJ8dH7O29oig1eTbn1u4O/V6b+XxCPp8wPjtkcnpImefE3TW2b9wm7q56I5BcMAAvH789GV/wwnmCHrKMB2VGV8zIwdPD7A2xpLU12BsEPEEujcQaWU0+rEu0Y6u9rOtYHTcdnQIUAf3YeQyVd8tFKix4L1hjybRjVEoIYgWlUQjjrHjOQ+S2hjF+27o6/t57BpRTohYT1gS4TW0ccNuYOUVTmxKjrbPkBc+9qRlm2Ge2yoBLDXVz5eOXN26LGK9kBQHEKf2e4FpXtzq+ajHOGtu0BoaTtdfYWXKlHzuQQlYhGNaXZ7QbFyM9ME64cci05HQuGReKuRZEniyF7P+xdIJSVuUeqCl3yK676E13QlCwrjZFh7A1oVPSBFa6O0TVd6L2koqmxd4zL2ErQlkz36Bs1/uch6Q1lXnJW0wteOtnvb+wQhALXTG8ltJIoSmtpEBRhsQt1m//pkoiUSBw3igHBHFp9wobYxv94eLjvMgnAhAMglAh/fwJUNCKNYlacHS/RWVAcOWLykNVM3Zv5PCUeylC0a+HxXUYIH9Iv+7wFm3l1nxpoJt4K7FnlC7ZVTCS+TUENHfWqIQpb/yxAvAJZLSyJLFT+GIJaSKII+m9OM4j5frNeBSKo0XKW63D9lQOGWQr5EqFbvENdnBPW9XPGFkJMlII5rbFijwhpkTLmFzHbEQlHZ2jReLhpX7NhXKt7+lKmgghGZZ8NuXZy+d89MHbnL25QPntNCsYlKYqCwsoiVQRDx/e5OHOGmd7Lxhc3+LBw/c4fX3E3tmU3Wu7jJ+/ZHQx5Pt//BFrnZRMZ2zev8/1/DqDKMXOC74+GbFz6w5JkqCLgq+/eMLrN/uISPLJu7fpRjGvnu3zxeM93pyN+OjBXchyonYMkUJazXw24t4HnyBEvBDHbL1RTwmFjNtEUUyuYtbvf4dWus/sYsrZ8JTB9T5p0qZIS5TWaAuruw+xtCmN8obTej52yVgVY0yeMT54w/7ha9orKZ/+4I9Y6W5x8vKMFy8PGY6GbOer9NfWWOmskrS6DAZ90ihGZznT2ZTJdMx4OOPXv3rC68M3xB0obMHmegc9zziZjTk4OOLli+fYnuCtB7us9TZAtZglPYwRFMaFgXx7/OGOkFRK4gzDNXdpEL8lBT7oKIEvBK+09U85+hT4qc8i7/l1Uy1tfnG8yaEK25GhlxhWEksnNhXKIAjD7v6gJIm6HhafgT3Qi2W4fkMmqH7X36v7gtFpSZm/lNPHyyHWLBkDvPXAnRN1KKIvv0IE2NpUWzkbQu83yJRvqGt3QEvQ7IvF4arHrfkjKBd24UylrIexss6gW5iwm4KLry69cTCYl62vUqBNl9+3OLhua7QGOq66bhv31EhEvMzXnDBBWWuWsNxs0fwMr7ffdE9tEqoUe1Hn4pELT9QD0uBGoVf9HBTVwIV3VGGKvoHC39dU7sM4CCFYpn6LraUyTCy0Z6nfQ9sX+qLZjCuuBUOb8Ii9SDjlvq0M7chvXadEpdwr0aAXYVDFYv2qNRXqE2QE38cRDi6fSFvVqUYQNRR36yR3bYVH9da0RFTTx9btWB74cE+ItxbCI1v/f+z9V5MlSZbnif1U1cjlzmmwDJI8s6qruququ5rO9Ewvwy4ggMh+BnwZfAK8AQK8gS1kAdnZxQIyIzI7M2hWNFlw5uHcL7/XzFQVD0rMrkdk9syuVOMlTTLD3e81oqZ69JzzP7R+QIhGcoZO43X3yqVGGotVEqGCPhFXMeqxYT+46FQLukSXBSpJaHe6jCbTyF2N1t7JJB2NR/3cGS/ef++QOzd2aaceI6qU+WzOyzcnzOdz9na3UVIy6HVot3LyNKPKc7a21nn/wXusra0xni4plxWYijev3/DlVw85PTmlk0k+enATqwu+efqck9NLqkrTX19HpjmXozmlEWRe7z64cZM0VY2Q/UC4hiRRbO3s8s2vNKWV9PrrmMWY6WTCcjFna2uL9c1Nzq+GTndVCWvbh1gSZ8TwSyT8XrdWIpMWy2XF8YsnPHr0gr2DG3z2w9+j1R0wGo55+eqIxbJCqYRur8faxiaDtXVarTYCQVWWVFXJsiwYXl7x+PETKl2xXJZMJ1MO93ZYLmcsZiMmV2dMR5ckaNY2d+kfvI9ubbGwLRdFHEKwv+X4B4rx1aFawnuM8bk9TlB5S7gnRBmUXVyY8ryUaCPAGmfJxoWrl1Z6pV6hcQASG0jeEWaTiWRAL9FOuHpgnyjre+aGDVIzZgNYbSkJvEx7oBQEay0MhWdqbvOICC518NiLYBV3f2vRsJwbH80QrEDaugJTHrmttLUxwdgR5s/60HURlZIgWAMjcKF1wgOkGoQ3LdrCPyvkEgaBbPFh157bBxrw3SprARjn2gEMg+uWYK0ToA4EWaSULLRkVEiGS+WMNQRM4gwFqfZrb2uRAQ6zBm+AtIHZNhmbG5yy+HQCN+YQDhWUqlGV+HkMQNLXXKBOHYnrHyIJan6J643uBiCsA+0iCDyx2pdZWhsN1s1QOBcCRbzGAkuTUFqFMYrSKxPB4ltYRS4VidAkGG98EFRWUeGIOWT6JoQaD54C/DzY8AJCxBoH0jrai0ImxjzUIfJNgOnC9z3YtT4lwDbVg+sS2AsIR15RoQirpaQh9UJWSRfm5oxGTpxo6wtQGtA+qkdIseKVEGgQAf76u1tibQorIbG+oJXwXjLl8mdVmBIvcNy7uWtdjQafEuP3bpNP4J9WR7t4b17YX8ZTr4BcaZTVLGyGUpBWBVokFDZFJpDbJXOR1oLY1gqF9pvSWlHnxgHoJedHj3jv7i0yEv7N84fMlnO0kCAUWI2pXJ8oETSIytDpdPjzP/qUzBjaaz3u3H+f4fkVv/jlb7nobXJnd4u0l3L/kw9pZwq9mHI1GfJ6OKG9vcnGR/f4n336PucnI7788jUn8yknRyecnJ0wHF3xk5//kB/e2uL4+XO+ePSKwe4uf/yHP+bR6Zyp9a2GrKUsSoxIOLzzAVUFMcYz0KAALRK2bn/Al4/+DRfjIbdvfoQdzVksnpF222zs7tNur7McXboIsTShtXaTyqZUXslJRK3cds2UxIwYXlxydn5Gd7PHpz/8jF5/n+l0yfn5hKfHx8gUPvrkNnf2D2h3O2xs76K0RZdLimLO8Ys3HI8uePn0CNlT/NO//GMuXlzy5eic28Ly6NFzFtr16fr8xx/T63bpr29QzSVXkwVlljkjsDbEApffH/8oR1NJ92IzAo/AmYK/wXolOnq9LT7yUNQ//f8aEYFwqFDfBLL1j3pvKyHIlEsd7HtPfupb0MaBNmSEG4OtC6G5Txr/NsFUE9zTcDbUY6vfu+m1tytAPnrvG4B/xaMfPiOAkbreUAT5cW6C06E5fr8IBANK402slz+W2BUoLB028PsAeFbvUyczipX3DWPRNoB8VwS7Mg7wu0gMEcOm3waZ1rP/d+WP1xEGQaZ4eBNprwmSg+E7YglJzd+b60e9/qLxfeOJDRAnVkjONr4LWgWNZ4o4kuY5TYqq6eT655FMAdHw9kbpKBq6FDamSzZpNDpnbP388E61caCmCdF49sq6NM5otkBunviO1Yx6WWijmcmgj7iCzRJR8wx/k1qDsY3ZuD4zTn8M8++e4ybRecdrfXDlaNBqCNnXArTwjr7Gg+JsRggjVr4MxpQY0EJND9LWDipn9LQIYRA+/hefuhy6WaxeHWfa7wdLVRVgDd3ugCRvc345dnxRG9/9IzLEOHYpoNfN+fDBbQb9Nqly34wnC7786hGzZcGHH96j2+lQVRV5u0OWuIQEKQXrgy75/VvcOthlsXTe+qM3F7x4/orTkzNmkykffv4+Nw93efbsGedn53T7A7Y2N+lvbHIxg8vJEkuGtQKV5OzvH14zhNqGE9gyWFun0pbpvOBgZ4vRbMJkPqff63Pj1iFGJYjRBKEkWd5ibWu3jkz2ezq4oY11oeHDs1OOX75kf/+A9z/+jHZ3gLGC87Nznj1/CVjef/8+H374IWubW2R5jhACrSsW8xnz5ZyL83NevXyJQHCwv8/x8SntVsr6Wo/ZZMTw8oJyuWCt32d3f5/e5gE632KqM4R3yEoh+Y5afN8N9IsQzuUFlkbEntWCUBSvMbG43uAuHCEo/t76ivfA+TAsbYXz2pggQNz/cYPZ4HF2VJ0nhjwxDlBEIRCEuKGyzlcmfcicyxHwzNor37bmeK59i7V1wTt8Sx0LVtvGJhZeyBjv6faCkmCts2ijawHrLephXqz/Rzcs7Np/aaIgE/Xv4ICGn8eQZ+11bDQSa2VkC+GVasHvWH8NtV13BNNgGDFmwp9vjGPkBlgaF45faWcvFMLSUi40aVI5T77WKgqFEFBkbGM9wlNEYAuO/SvRnNOacQZEnUpDLzWsZZqu0uSJy3W0wNRIHl5J5jaJAs7Jl9qbXwPcOlw7CKXAS118gvDeFT/ShiIX5gxBFPZBLRHC1wjw1Texgql27yfDHEQhGcKrcEYAq7DCef8LEgSS9aRECdDesNJKSyZlwkQnPtXFTU1IywhjFNanJASLtABHTaI5C1EZcPexMWXCxnlwimcNePHvIv3nPnzNryLCga+NrGQtdeuTCNMQgH6vWOPSfRCu1aP0RgnjhaSPzIgxaw1DVtzzjgm4OY/yT2CNg1dVoCTl9osfhruHDEa8WkkxwZBoneGhqXiEiXZjd1cl0kcA+WqF2uYUFXRVQWE7aBJKbVEsgU6k90DzguBJ8yvga2RgoSpLNrY26OcVf/3XvyHt75IgWJYFQqUIqZAqwRj/lp6Dr++ucWOzxfDqkv0bu0zPT3j65BVfPHzGrR/1Wd9do73e4Wp4zpV0fCVJU/rdFucvX3KeZax1+0gl2d9b5zf/ny94fnrGZDKh0+vx6Ye30LMpr56/4t4n93j//Y94+KvH6N2POX9+wbIqUalTCTf2Dsg7G5Ra1sZFT1uu5oSgkhmtPGe5WGA6m8xewnx0weBgnXZ3k2JhOb0cIVsZbZuSD/ZdJXsZZIB7/VRYBmbM/OKUi5M3yH7K5z/9A7r5FouZZnI14dHTV5yMhnRvdLlz/y6be7fINrbIZMJ8OmE6HbNYTljaEqqKm+9tc/f9u6SmzeWzMZXUSGN58fUTli349JMP6K6v0c36VEsXWldiEMpVz01De5Lvj3+0wwgXHeP2KbGOTQDTwQYbZJvj2bX32dXscf8HQKhtXSvGECK43BFyypugKBT5SiQuBzhxLT2bbfwCWTQhTgSsXmkMNVhsQB8NZb7WG2ogvtISz7PHOpfexlx73fDoR2eCB/Gr3nwimI/zaRs/ER6cBINILeeB+LPW/xs8Nvwb+Lah9pCHz7zcrwFr0HHCegrvdAhrJP26OTDvAL/0Y/OGBrxO1ZjL5jiARkcmUeOsIDhidKDzCreka8OWKRepqJSIIGxawqR01dihjmiMWpdfJN3QUwjyIcozd37NRmoZfA2f1nTo9RBBXY9CYlecEfF8Wxvqw7NCGl6ohxCiGcMqOF3djUCHtSdESHj6DfPrZVu00/hnBj3r+iHe9XvYM43xN2firesa8lVQt9BMvDNBynpemjeK6RtR3wnPrPd71NlF2Ps2MhUZHCyejmW4INCQn+QA5kP0rMA72SRgbFztengNgmi8sfTFswO9Bf0VK7zTVXgdrkEXVAhcW+GQBmtZnb8GU4r6ivUefYMgSbusbeyiVE5Zzlz3nKAr26BRuXjgfqfN7vaANHW1ABazBY8eP+Xl0TH3H9xnY22AlIIqTTDGMJlOsQLKqkSbCq01xhpaecLu1jpHb845Oj5lNpuDMHzy8X2KYkFRFNy5c5t+v4+1gjRtcXZ1wbwUiCxDG2i1O6xtbjoDoLY1XSF85JSk0+0jZMJktiRtd9FCMpvO2NzYJmu3mS8LBBqlJK1uj/7GBkpajNZILMYzEmlLEjOnGp8yPHnN5tYOtz/4lLzbxxhYLhd88/VDLs6vWN/Y4P6De3T7fZI0iauhtWYyGfH69Uuuroasra9zcHBIu9ViNpuRZ4rR8JI3L5+RZTn3799nZ2+fvNMHlVOUBcvSQtZDyAQpE1c371uO7wT62oNy4aVQaaQDDJHYaxISWF88qX5aIt2WKo0LLiqta78UQH2llSuiIlxY+gpZilpRL41grpWvYOuU39riXnt1K+0qnyvrcvalkCQufaHOUK8xBLFgC7WF2LXHa6YfOIHpgLpBa3eOixoQVMa4EB1rXD6IdaF/YftGQWtDaGDNRGpLtcVaFa3vxoYg4jC6sNEkS+P80Mp/HorRuDlwc+eMK67zgfDMJ1Srd4JbRkZhPWNUWEojGZUpc61w3ncBwlJqV/tgqd361pnWzVQO0UjZCmzeNqz84aum2PKASwiEMGykmv1OQTc3tDJBogDh5mW5ACGMK7To3zkAcyUEHekYXGVhrhXah545fcLRcXDwO2Hk0y9ssPwG0B82cxCmzipLQ8FxIw/KZYLFFyLECZ1WYmhLVxSuIf+RPpfL+O4PuTIIH3PvyqpYEqGRpTOESeGUmJlWlNbD7WZIYbgxrsiTDP4sG+jARoMB0bAhYuirFRocrPfMMMxPMJiYWCDR4Pq7dlLNel75XPxaua1pmZgmINExksCvdFQulA9bLTVxjMHj5O/o59tdG7mKINafiApGBAA2PiNG2dhguW9oKJEMPe05SkVYUXvkvNZhE0g0YBVWZrSZMWeAtgmFyamKCaK1Sd3fInAlEZ8TFAHhx5nlOb3+gEdf/i29zQH37v0RxSLjv/5v/q8UAs+wKp/z53eXlKx3UsR0xOZ6H1FpXr884eJqyD/7j/4YYxLOj49YzBfMZ0tG4zEX8yV5Kuj3eqQInrx4yM7NA7rtLqZ0fViFMLRbKSpP2GkLXh0d8cM/+n067R5vHr/g+SLl7o3P+OXf/F9QyvXuXcwNg80DZNqnNL6xpfW+BesVAWFpDbZRtDg9esZ7n+VY02UxXbKZSpQumF6NmU+uuLXdYzLOaPc2YnE1rANdCEtmK+zla2bjc1Qn4Qef/YROtslyWTAbjvj6m1d8dTxmUlYcbAzoDTYR3TWUSCmXc6bTERcXF5xcnIHU3Pv0Pdbaa5RFxfBkwsn5JaPJlCdPXrC31ecHn9zn5vYNnyokWc6XnJ+Nqdb32equI2zieN7buuz3x+/w0DhjkqO0AGR8hXy8whu8tZ6PRFsi9i2gfx3kBnAdeEQwhAYOHf4NBcBcGoFP4vOGfCdzAp+OUhAiOKp5RJTsDREZznGAoQnIA3gP433bc9+spv8WmH/rvMZ4wjk00hgs0XCtbTDkiwbA8/NivSy8jlUaYCzOW1izxrV+i0ceGWSIA/iu8JlGetAp6xQEmtGNtUyOc+gX34b5XxlaA4aKepzBC62Ea5O7nhsGuYvWyHyed1jH0VLwZmK4WgKN1Efhac1FiNUAKQDiWsWNwsvRysoQGxEHDTpuRpQ0o+tiEUOCbuD0mbAnoufX89a6Un0NEsM4g1/Y0DCGIWLb2rBvgmHM1kMkot53Hc2v4u8NuBsJpXZqxLmoL2vMBYQihArjDRi2MT+sRABFd9nK5hMr97eNf8MSBRUrtN+7ntJxPTLE4/n4Bs2xNyNAVt7N66dBoQlzEx1lnqZCrQrhdfO4vv4igcVUBTILK9N8r+aM1sZDMNiqgGoOWmPSDrcefMaf/bP/jP/6v/o/URRLRCK9Z59IYdbC+lqPrc0eUmpmsxkPHz5nOJ7y2Wcfs7e3i7WG2WzBfFFyeTViURSR8KQUGGOoSkO71SZRgtHVFfPZBG0062t99vd3kELw3nv36XW7XA2vmE6mbLTXObscUxpIpERry9bGgF6njTba8TBjXXSwn08jLHm7jUxSRpMZSdYizXJKrUFIqrJkMZtgdUm/34XuBr1eHyMdjRnrorldi1SDKi4pxkd0+x12b96l1R1gLVTLOY++eciXX3wNQnFwuM/29kZs82d0wWI+5+z8hJPjI4QQPHj/fTY3t0mShOV8wdn5JWdnF8xGI3Z3tvnok0/Z2t1DJTlWwGI6YjQHOnu0W32UypDyf4JHvzIKa7UHfL7wiWedDroL30M8ELGzCTataa69nMIaS6kVC6vQVpJgSYXGSOfx1NRM2RGv2/CJv+dCSzIt6SQOWrqK737XOs0aH02BCC5AaWNRLhNESBPQNDh8YMuhvZsT3m4zaJ9fHyrpa+/Vt9q1+HJA3UbBrBt5BzE0Dm+BNk4YGBtUBFlb5gFjFaVRdQgiPrUBF31QeoU6Fa7Sp0FQGkXpw/ETDKnQJAJc727nzdcEAwveqOCBiRa+TaKhMK5naGmUB1cWaySlcfk+UeBfYxmBbzZt0+F7x7uarMZ6ZhaYnmNYa4lhv13Rb1nyXLpQIG/VDJEgIoAALxgq60B8Sxr6aUkqK+ZaUfhIkZiCFRgmtRBAOE+1EUQrtIojFLUc9spklMnUgi1Y05UwtKSr+poJTUtVSFH5QiludoLF320XRwQimLE9DUjr8swyMY9hkxUCipyxlnVOILVCgZcRrn2eV3S8IK9DIP12iIK9KWosWElo8Oiur/dJ3ffGoBEUNnjYvUFLhLaVTQnqAmrCJDmDmiCRIva+FsIZ1oBVT1OgD1HTj8R70VQtE5vh9dja4BTaMYWCM0GTFd7k7jr1uVmQ0rcQ9WMNkRhxUoVAWOsD4izWtkjskEQahFEsy5TF9A02v+na4HnGFzmiqP9yc+gWILUFr58/RmWKw73bzPIBP/nn/yt+9atf8c3LryFTCJxXP/S9Uonk4GCL/cM9chJOnj3n+cuXfPLD9znY3efR8ZAbezfAGKqi4NnXj0mTObu7G7QTRVloLh8+4eu/+TtKlXFw8w5WZVTLktliyacf3GGn0+HGrS2ypMWrV0f83W9fIn/4n2Bti+HlBVIpTFVSLkv6OwekSQdrfTKQcKptjDUSFlpdZtMFrdnYEX57m0khUO0ey/mS0dUlST/lYGvA0XGfjXYPabTrYGCgwuXqq6rCTq+wieHwvZv0BtsUkyWzyYhXz17z+OiUhVGsbQw4vLFLN+9QWoVcLLk8Oebly6eMiil3Htzh5tYuSkpslVLMF0wnMx49e8lyOaW33uGjTz9mb3uPVCum0xmj6YRpUVC0+2zu3SdNcgi9ut9Sob4/fpdHYYKB2h1N71pQdkNtkBXfsjc+uTayksLIGOYd0k4jyG8q+uE5jQ+a4bLgvOTaWOe5tQFENUCBcHoJpnEfP+gYlhueTy1H3yqkZ20jrcBHBjY8+s0Wek1g765l5br4mddxQs2fANh1I7op/o9onFeDfaIhtc7ZrsFNw2NvawkRwVONesGPqbISbSWllRiU11t8e0IvlMNzmjqHe436Xqs7s0EL4RMRtCsvbBrAOBGGXBraiaGtDLl0hSBFfG9BW8JaqsFYKs8DCV5jgnPI1TSyMe0p6Mie5sT1Eda/RC1L1D8Etf4iqGmx/j0A/DqH2+Wo+8JtoeJ88/7NuYwOo0CDNdAvrXSGMuta6VbW1aYKRWuj0d1CSHddAbLvWIkmSI6RHu/QIpvvvzIXhL3ovolGIBumuqav8LbuPRtzb5vfrs5Ik5rqeRcr568Y6Wwwjnkgfe3OKwYIW1/TUE8dXVpb6z9REcUzC/e/sMZ59q3Xr4TFGkM5n6KyPjZ1D2okcsb9Hd44ujhMAbZE4GhWtdb4+T/9T3lzcsa/+Zf/LXj9DPDFjB32u31jl14nR1clw6srwPLxRw9Y39pFKkVZVsyXFcPRFRcXV6xvrLOzvUmlNUfHJzx79oLZvKDV7rLW61KVJdIaEgx7WxvsbO+wvTGglSrOjt/w9ZffsHtwg87aFqdXv/JdiKAwht39Q1qtFpOFjmMN1CKEG3ee52R5zmgyRSNJWx1EkqGtpigWTCcjrNUM1gZ02zfIW20q4WSOxtVpqIxFmAI9uyBXsLV3k+76JqYS2KrkycOH/N1f/y2V1vT7HQ4Pd8lbKVVVYIxhOLzi6PVLlsWSvf0DDg9v0ur0XEvBxYLRaMjTx08Zj8bc/Oh9fvSTn7Kzt48VvnDfcsr44pSl6LNzuInsdP0OuE5tq8c/ELov0DYBK2svnW/X4CyE1jmcGl63ZjsHhfUA1/2scIX4wDGT1PeexYCyDkg44q9BfipNtJZarSmNRergu/PhssETZ20sSuZyTByYSiwoqyNxC68QhLQCrKuk6YSIh66mbk+jfe9tbZwgtSaAE/9Z2IcWH+7mGJ2wvpAeDeuz99i73ED/XmGZQpgv1odzQ2lcuTsltAc53ouPogJK7fq1a8/kE1/Ly4VSu7LQIdzfWve7NoLCui6dFpDGXecs6EGAC3ddWC3v2mgyzLiRVqhmVXiHlWLlE6LAk8LSVZqtdkkrN4SIWOurSDrFxZBKwV5ugMIRrYC5r/ifCksr0d4bb5hWtqalwOgi47R16HgIzRSNkQmxal0XIubla890gxKXS0NbVOSyIlOuBaQDpi5dQsqGgiOCF93RgKuUGeimVuyk0EgVaFGgrKSlSgqbroR7BjVFY7HCMV7/XzyjjnkIhoCwYrWHncZaeJ0vKg/xTB8Xn2DJhPZFOo03gLnz88RFn2jj72zBtYORsc2dFCFSxsZ9YamL1gS6ABeNI31Ei6sz4q6rBWigU0PjQ0+twbMvUeiVqAYJSCtJlHD3xeX0AZ4uapXCpbWEMQmWZUpHup2nZUJpM6ajEemgIMtSrwiG8M+6LkZI58Bj/cX5MSqxfHTvY37z+JR8bY28u83P/+I/4/H/9pcsdYVKM4Qv6y6sRaiUOwfb9NrrXB0dMS1LfvLTz1lb3+L16zPOZoLnw8cMT8+YVSV/8oc/5ffWNpBJSr/d5ursnN3+gOf/+/8zzyfHGJlg8jZlpZnNl2TtlO0beyTLJa+OTvny4Wt+8fUzfv6n21wcn3J1eYbqJKANpbDcvvOAbiIx2sZQx9A5IvDgwfoWedZh9voR1hTk+7dZO38fVcG8WDCtlqxvd+l0+9x/cJ8ZBUq5VRcSUiypFdhqwXw2ZPdgh353jfnVmMnwiqePX/Fv//4Luvu7bHZ7vMky2i1FoS3tUnE5PmG2HLK20eO9rffor6+RyYRivmCxnDCfTDk/OuPp65f87D/+PX72+Y/Y6veRFcxmYxbFHGMET755QeuDD9hM2i51rSa0749/xGOhVYzAaQLyAPidEi0jWFgFmcLzWUHlwWz0SLLCPuJ9Az91H9ho2K2LsLlUv1I75Vz5tEanAwkfgVantChwqYmiAXEbAKkG/XXxvOt59Ss59808e9v83YN6GhEAEEH+ys8GqLe2DtUPQK8G/mLl/HCPkPIUgH6NYWqvtBOforEuNYgK8jF4kENRW9fBxnfvEd4gE2RANGhfh6ur8CwuXfC21x/UY2tcFdLPUoFvmVoDY8L7Cze3Eks3cREd2upGJISI6+VqUdUOEgeGGzoEbwO9FfojGCTqOWsCzui19zI7yFjldedQ4yj8rCu/R8Wj1j1X5tAbK0Qd1ZFaQ2UFhQnxNE33YQ0l7erExvvFj8Tq+0bgL67RxSqerh00zWsF9ehtoOdr7+LfsakbuTXwO7Ch7Fk/J+ERMdC+QS9Bo1x9s++CWNd5iYgqcvMuzZiUEE1c87DGdX4Puh63ItKH8RGgi/mMtFtAYmos45/SjMQVFl8zCTAlobhhZWBhE0Ta5Ud//M/54je/Znj2Oi6AM55IOr2Mu3f2gIqyWNJpZzy4dwupWswnYxZLzWS25OXRKZXR/PAHn/P+/ftkeUalS8bjCV/tfcN/+9/9K7558Zit9TVarYxOnmFNxd3bh2ysdclSyfHREb/4+19ydHzGp7//Ryy04PRyjFIprvWN4N69+6SJIlG1YVT4MUvpHJVJnpG1WiyWS0ptaPf69NfWEFKxmM2dkURKOt0uot8jTWRcIAUgBUqDkBVCGTqDNVq9DhKYz+Y8fvg1f/e3f8/G5ibrW5v89suHdLstlBRUVUVZuvaFaxvrbO/ss7m5jVQJWmuWesFsvuDl6yMuL6+4desWP/7JT9na3UdIhdaaqlgwOT9meHpC93CDNG/TrFvyPxroz3XSyLvyebY6hAEFf3SDYAUITexpmQgHtyojWBrH7FRkTpbKunAsVzTBkgbftWfsqbQRPLncE+ehF5VEW6dIa1yvZSEFLd87U4X0Ai+cKxHoVKyAjXBYXOEwvHA01kZrOdZV7jba5S45b35gLHW+PsHKbmqmFwwgQTDWrfW8hazBDAPDEoTQVYkWXnm2HpJHjcBbi310RNi+SgSfZvBu+u+8wBbxcuGBZGBCwnuDa4DYtDZH1iZWhkyN/OtPV5mX+0SIOr0ggJ3wvRDQUoZUuWKLVriKpVVpvBLn3qGTWFRX+zQEF36Z+84JSjgoVxmJwZCo2voS3q9WARpqomgKlPp7B3itT2mAtioxFgqT1IXCsHRFSapKMmkaERQhV8wLjEbByJBnaHDF+NAC31MCKVy8RTQ24IRyYg0tpSlN6cP33Ugr4VvO0Xw3961sRF2E+xDXsKbJlQgADL6eCqHoUm1VDsqYM1AstaDS0nXKsK5ApsVZTaV3jQWl0HgN1tXf9M+zru9AGG/w6Ie1kFK60P4YveF+D31XBc6wZ60zAoWOdDGfNWhSEqRVcW5qz5xoFN50fMJ6ug+1LQK9u6AS4avZtjDGkIqCkhybtJmOJnSKGVnWdfPtgQbCrXdQ3p3sFi5CSQpu3LjBiydPeP16zN17zsP4/s/+nD/41b/jf/jr/x5TzP0CCiSSVpLwww9uMhkNmc1n7N3aZ2t7j9dPn/P8eMTD11e8OH6DFPDn/9E/58bNe7TznOV4yGg6xUpJ2h8gVcpoNKN49oqtw3vs7u+ztbPBZ/dvkhQFz1+85u9/+xihUn72B5/z4MYtvvgf/obSVtjKKb8yU9z/4ENayng+44FBpDX3znm7RVlo0n6C0UtEf43uzc+x5hHz0RHTYsnOYB+pXBVaKQ2pkF6RNyjrfebK0trqs96p0MuS+eWIp4+f8MuvvuHjH97hw1v3+Xd/fUKilOtb3uqyWC7RGDa2d+i0e3RabYrZjMIsKRYFw/MrLq/GjKcTbj64wZ///Cf00zZWW+bFlLIoqJYlJ6+ueHV0zN27dzCmwpBR7+jvj3/Mo7QSTEPNDjyjoSDXhgAPHGyQxfETly64Kk5rvkEwgzaOAK5sAF7uDG2gcAnNVDIYM8Ne94o0bk9IryRK6b2s0ulAwRQb4IW1Id0veOhXgX7zs7eAvW14NP38EJ0NTW9zoF+54smPxhCaYfG1EaA+bxXwh6OOCQsfBIDVBPlvh2ZrvGz03nyD8x6HvGq/TG/pGvXfQbeoV742N9R/N0ElRInoaSfIe+N6rUsPir0OGe4t4sy5cH6R1F0aVtMeXKqbtdJ1eTLKRQ/6cTqyrT23TY7S1KZEY6wh+kD4cciGnuC89x7U4xxkDux7+iMYqCzBWbDq1XbjCrqBF2HOGeZ1bWldyp2ibgrTmJqoY16HwjFqIrzbNT0yrlrzHLsyrNVzg/LYoNm65oZ1RZ2jumlrPdd6J49xkZwyhNT4J4V/V5HBqr66+j2NM8O+aHS4eKeQaNIljfV0n8bfBdFbX8+Pu9z47mQugkSAdbW0rLUsF3Oy+ZxWe7ORQiAaN1jdDa7w7xxsBdZFEWqRYUWL7Vsf8uM//iv++//q/4C0JQbX8jZVcOfGFnubHWy1REpYGwxQKuVqOOfx45ccnYwZTwvOL4f84R/9mAf379Jq51RVxXI+R0nB3bt3aHf+htF4hkCwt7XGWr9Dp5Xw8YM72GrByzevePTwMdPZnP2DA3Z2d/jNkzeuPpIP/+90W9y7+56PbHApv9GOI0Vsq5hlOXmWM5vMWMwLBt0uvfUdymrIcjikLA39jXVarTWqvO0cVFa4TlPhXtZhFJW36eRrCFEyH13x5S++5PGTx3z88UfcfO82v/j1l1hAJQnWGqqqQirF1s4evX6fVquD8PMJmulkyvnZKa9fvmRvd48//bM/Z2/vEKEUVblkORsxujhheHZMURoGaTs6Yg0Br367VvLdoftW+Y3gtkpQ6Nx7+yzxEKYjiEK1EIZUGVJRF01x/U7rPuMYl4NlhQM6iQ2qttsMoRBaoPzYi90476W1lhLB0qhYlCWXhkwZjJCkwpIpjZSW1CvsMjBtz+HqHCMP3vFi3vpQcVvv1srWhW2MMbWADqDf38/l8IftGkS4M4doWwtya20sOIhYFZEC1xfUWgfeq0gQboYqJM3WNXUuf+3dMNbXS/AgOzJwfyclDM7mpwiVh2VjHLUv+F0e+8an10yvTkjYFU5ucBuwfrp7TqgNEJmOcExSalNzO2kQwqUXtDIXMmuNC9tXUvhicO75Lg3GRS9IEe5rauIMY/TrFQWUp4kQjikar9aSmkRoCqQH8s5jmUuDkiYCRiGD31i4vB5RA0y3Hvg0C0lhFQudUnrDVyY1beWAtkE5w5VwuUCO/JSPDnCRFQKLtBIjYlxLLVCtM/ZiQ3hpDdWD0NBhnfwAY8FBr6BqROwpHxQ65SdkaeCiSEl9uoI1ljR1KTxpuAFuj1S+j6ySzjzjZJN7ljGORkJniwCv67BC330hUK3XPqyxfvv637VvCeVXW/oxCyFiCkOgJWcs88YH6Z9iAwF4+hT1bNYuAuuLhCYYMjLmzBlgVY5AUsyHiLW92GI07lUfRROmJcQydXtdLl5dcD664pOPHlBJP9a8y5/8J/8lX33x91xMzt0ztcVKxZ/9ycfk8yFn84Ld7Q3WBgPOjt7w5TdPeDE0LCrYWV+jynI+/PgzTKkZT88odIXQSxbLKdPRkJ39XYqvH7Kxf0i31aKysLGxzo/v7/P66Wt++8VD7n54m88ePODVJGdrY4vZ+IJOr41UhmI+4+DO+6wNNpGVQATDauCHYb8DiVDcvn2PF2dfcnXxmv7BOp31A8ZP/57R+TmdrYxuPqBcgpWupoiUPqXGOkAjMEip6XYSqsWS2WLO0bM3PHr+lD/+s8+5e+MOl8dTjo9fsjALhBQsC8tsckV7s8XW1g5Cu/od6JLZbExZVCyqCsyc6XTCh7//Ppu9HuV4wdRWjK7GjMdjKmMgF/zFP/8ptHddlFeDP1xjjN8fv+Oj8PpIM+Jq5feGJwwb+Ij159RBrA1hCCuy8W0DTlP6OV4SQLNzVAjt0vESWQOvEMojqCN5QgVwKUUsGBzTDJoyNIT+Nj3nltiq1wa+Rw3uw0+CA4EmEA+pf3Xo+7XXj2DJz9Y18P82qA8Ghfp6It+vYyncQyL/izNZG6VDiHjIv9dezwkg1K6c/Y4jivWmcaa5OWs9pGn+IfB4W2tVDgi7CNNUObAfCtdF6dQYSijKaHFRpEGnM/F310XIIlhowcILXXsd5NaIb/Xz66/q59D/V/8fdVtib/XEQ7Lg4ZeiKVfreQ2Rp3HO/bOaxpXwfexW0VzfxjRfH2vDrxOkaT397/rdP7H5Hbaen5Wn+nW3IhQPbNaRwKdB+r0iWKkLIQ0xotMYu2pciG/dfJl69Nd5Q/OSsKdW/6+jCeIkWO/A8HQb1NzVMbi/rtNK0P/riZH1jFmfFmot08mY1mZz7zeZZK2HCKlQRlPppa+CIWMhYFSCbHX4vT/6S7785d9x/OTXJL7W2Xov4ZP7B3RzgbCaNMlIk5T5vOD4zQmz6Zyy0ownc7Is55OP3idNJNoayqpgPB66oUjlUr+NiVEog07Ge7ffY293g5PjE05Pz9jZ2+Xe+x/S7g3odAccn/4WY5wuboxhd2eb7a1ttMZ3YgvzLSO/lVLSarVo5S0uL6+YzZfs7qxj13e4PLpiPprS7XXobWxB0mKJRNsKKYxzOkkXAWq0pjSaLMtIlGV69YYvf/VbXr285NPPf8D7H3/CcDzh7GIYU7UXiyV5u02n3SFvd8hbLZCJc1xVFVeXFzx9/JDLszMWkykff/whhzduIaRiuZwxuTpjfPaaxWRE3u6wsX9A2tty+rVwdQMqbbD220MMvxPoNwJpInOIAMHTqvP4C18zym0cFzYvKTyMi+EzHuw4RhgUbZ//7Vm1ik8x1K3DhK+WaePGdnnnTuJYazBGstCCeZm4EGsBqUxIpXERBsqBDO3jr5qMSArTyCFzLxeAk/SCt1n0Tvhiee7xssEQ63C6IHikEBFcmDh5IoaBS2E905Ke9Tbm3SMRicsB1EZRRx3URQ0DD9HGhfMLn09WeW9x4kWq9VZ6hEVZiwkRAd6SK/35TkHxc9BgkmH0YXA1+xARLFoCc/ZzxTUrZfjU1oJKSUuqmgLBg1kPDENImECQSFcUQxgPFhH4oMgYOldauSJAw8OjwSt4+D3jdUWXLN6EFGc0FYZUVF7pka5FnK1ASDKpyWQVLecgMNY1l5c2GFOCYHVVaw0SI5QDgF54FkaytA78p8L4vDg3/lSYuMdC7IzraiGjwA1h6nG2G+F8wUsevoskRahHEMxQ9XdNryyIWLPCIrzwFFRGMfdtPawV2IpYdE/5uhmFFi6kFVeoUBqL1IG23N21dl4x7aPvoyfMj8R6SWdx+Wh4pTZ0iQjpM7W5w8928OyJWqjWiqp/H22ilz0AgZDG4xSVhjIt8PxNUticXJQIYdAqReVrLGdX6MAHI68LCqtLLXHpHJYEzej8BcPhKR98cI/zaUaWZmgJlbFsvvc+f/5n/zn/j3/xf2RRLVFJwvr2Bh/d3mB2fsLmjTu08pTxxRlfffmQ04sx27uHVKT87d/+gmR7m8loTH97g5bMSJcVhVCkCDKRcHx0zGB7nbV+m04roT3Y4QfvD7CXl9hqyT/9qz9lozfg2dEF+uATTKmZDM/J0gyj55SLObff/wR8UU4hBUrKhrLj9pOwoFJBpz8gvRLoxdTVZpApy6VB6yVr+3fI8z7nRy+5qJb0Nx4gxZrbl9or1whUMUQVQy5Ozjk+O+HozSm///NPef+Dz9BTy/nFOUfn5yRKs97LMLpiY3uDfr8baWI+WzKeTJgvSx59+ZQvX75koyu4mFbczBSz2ZzFZMZ4POHJ0+e0egk3bx+yOdgiy/uMdOI6xFAbmr5H+v+4R9Q1gJWQM5rwriE7bdQeIvKI5zXATPgl/t5EKuEkUacpGULrTLA+8q70yf5N72+EVqIxMuENqhB/uvotdoWHrYzOvv0RNoSwB7DvnmGa3xPkTLi04bFtPsnrZdYz4ajLXAN87rb1PVbuZYPeEnj26v2vA9kQchpAZnAi1ddd31vX0FCINBUNve2d2/FalEH0oAo/1BANEropOCdLKsyKoVlcG78QrtK4ApfZJp2skFEPdHqlsYZMGpR3qlgbZLSNtHD9Le073j58GXSpVX3K6WnOs+/TBvGykiDXV73sQf+o5z6sbXi6jdEd4VyXWuGcLKHA9LWpJdBjU2+vd8P1f7n2+yoobYL8uPxefw8vYvAFNoX7GaIYgv4aBhPH5McoZEjJuPbUlYmPRH/tu7d5fzTOhb34rd7V+l5NXfq6Oy08dvVWUcj6OXDpt+FO2grSNGc0mbBeaYxI6ojC+HoWhKFOI3bxNMpHHymlUCrBJi6ybmP3Bj/7i/+c/+ebI2w1JEss927t8OC9HXqdjCTLkFIxGU/58qvHTGYLtja2WVaCxy9OOdjfZWOtD1ZTlQ7YVlUF1mmuVaXJs4TdzQGbgw6TccGDe7dIJEyXBYeHN1jb2ASZ0hlsIrIORWlIE+WjueHevbtkrZxlYUiV9BFMbl6kb+kspCuC3B8MODt6zXQ6Jc1a0BtwrkGXFa1OmzRNmE8vMWKBzHcoZQtLjsV3n5IgpCQRmuHJKx5/+ddMJwt+/yc/4eDOfYy1jIYjLi5HLp1CCoSQ9PprtDo98rwFSlFVFYvJmJcvnvP8yRMW8xk+J5x+r8NkfEVRFJyfvmF8eUamYGfvkMHWISbfZK7aLMsKSRr343cd3w30A53HEKp6S0RaC8yhdp05VdpIV63cs5kAEpp9bR0wqQk9sDfnWZbOa+uvFcKBnIUBYerrXLER4/uYOkBV+Jz1pQblQ2mlcOE6biNKZ/2KoMgHpQjH9pTwXMxKH8K9mn1Wv4Bno7Y2AoTf3RUuLC2ArVjUBkkoxicbDEEKiat5WoO7FeXGOAYmbPCd1czBIChxOW7COu+wlC51okQRKgiHoQtc2G2FJOTZCaui9T/UPQjXXOd/Ljy6+ZkHVqscNR6iRtkODEtnbAhAcmkkifE1GyQxDCdUw3dXuntLIFWWqnLCJwlgVEiXXycNRkvXYsQzRDBRKZAB1OHnk1U1RFgR60xopI888bn3SJQwtNWSRFZ+jtx6VjhDShLAoY8g0da6AlA2ieH3Urjc8Mp3MpgbyeKa9TgRCunXqbQC7bvDm0Z+f/iljukIb+MLAF4Xxg06DmGDJl5V3zbErDQujNdZK5nojNJIEmFIZeWr3Afltwbv0it9QbBY32UDXHSO9oaxsDjGW9tD0aOmyqdtXS26bjtVjyu8VKi8Hfv84rxgTjHwtBtfyqcN+Hua+LTVED23MpJSdOmqS3RZUcqcfOOAy9dfULznvQWISGcCF4nilEZfpFRXzIZnvHf3HuPTC4bpLgd5m6ISlMJiVMoP/up/zq+++FuevPoaK+DB3T02csnu3g36W3tMz8959M1TFrbkj3/+A5Yzw//rX/6av/3tN/z4T7fZHKxRjoaUeoEwlev5XlkKDL1OizuDAz768B6T4wmm12Fn0EOrgo8/+BGmqHj5+pRxe4fDO59iZyWVLlxBQmOQrQ6b+7cR1OkPsWWiFQ0Fy/2/f/suj7/515STMzKpSfOMsW1jWy26WZvlbMrk8pI0PaG3fEKRfOrrjgDCkpgKOX3D/PIN44tTFsWUH/7B+9x98Dm2cgD9zfEVV6MRrd2E9U6XVqvF1vYWmTZUZUkxm3FyfMpSF7x4+Iaz8QW3DncQps3R1RtaSnJ1ccnFm0sWesH2bp/79++QpR3yvM9y7rwfpRYQvEBvu1u+P37HhzFBxgQAWYMGb78m5G8DNVu4pqeLlRNERKPBGRHM3oEHCLzM9NFxIXrFGGd0Dp7f5s0DL7aRTjxHWEF24bPrLpUAYq2Xm7XPVWC88b3B3G3t0Y756/5dmlfG6QjnNG4RDMchQmBl+hr4IvzdjA6owbRo3L8Gj/FoeP3DPd42PtQ6pGhc4xamIaUb87wCBOO9bNRTml7b2rjizgqFFUMv9ly5fuzK11YNwC0Y1JvPD6kcQnqA3wB6od5LZi0dZZjLirl2uoKUrj0jjfvHw17/Rax8tvIOXmdVhMrzxhVpw7iOJdbpn1G/a+gWppm2ESmrXmuA1ciOZmvDRuoLNc2urEfzNZokED54B/tcpdJr+uPKJ2GFQ+s/p/dWxnVIMsJ4tc9RVjBYOT7hnm+wICxKSP9Z80kN/cjW413VpVb3SFBG6v1nV3ST4ARYJdy3NQwa82qti77E0LjW8wRLjEYU1uEGYSHNWszPTlkuF5gsC1ZEQiRSxBDSt1A2Fa47kqsnIlWGkQnCd5JQGXz0o5/xy3/3r3n15b+lnVru3Nhkf2dAp9tByoTFbM7xm2OqYsnN/W2yrM3XT95wdTXk4GDPhesvDaAwpkJJga4M88USgWV3a40ffnIfWy15Nhux3u/R7w/o9NZotztM5gXLZcXOzQ1mC835xQilnNMzSzPeu3vP6SZYH6rv39mDbCnduyeJZHt7i6dfw2g4cimiUmC0RqkEJRXFYsrpy0eoJGO7s4XJupQyQ+Ji2I21WL1gcfmK40e/weqKz3/8Y7b274JMKIsFl6MRw/EElSrWNtYYbKzR6fVJ0gwhJcVywcXpCU8efs352Tl5q83O7h7T6YTxeII1FRdnx1xcnLGYThmsrbN3cEh/fRur2ixKKK1BVq7lX4VF60YR/Hcc/4BHn7cKnogG4xF1jbboyXLVP4NVhdgGLoQL1wK6KQg8qBAuAkD6nBOJdcA1MDhTC7CgyAeAHoSWQTjg7lvIuWJ6yjM3CCIyKPYOhLsw62AJVcLVe3XGQ3fjBONCqT1EFMJXvQzbzzht12Aa4NwHTDUm0OBCy7VnnCq288Mrz0QlAgL4kFifG14bC1zQmwRf2M0pFQ60uHPLRqvDRpCPWxGfMhHnpCF4hRdiMbeJmvnUhFALz7gg2FWmHoVvrTAJYUlwefmZNJShwJCbDELvcSGcKUIGWhG1cSMUgswSE63OxgDWVcrdFZarMmVSJlRCAIbUv0Hp6U6tcOiaBj3vdAKE0COcKOwcqLFUJAgrSGQV7xK88QRPvKdvgyuqODfS11RwJZeNBS2kixCJxiHiSrlPpK887AYWLPQ0pjvU3Kx3VZ2WEsrmGEJURH1xpAivcIRIDlcTol7EIOPCelqgMMpFHagyRtCEIp2VN/YIWysy2rhaGXgacCF2xodn1/MnQviRtY2uCdeEYx3XGRXTML5mFd6g/JqaSTU+DX+HfLqmwun/tbX3LfBCZIuyWJAoy1grbL6NWSyYzUZ08nWCOiWEqx2RxBURYA3GGPYPb2GLYx4+ekbr7p6vbIzTDpG0tg75+T/9X/D6f/e/oZCGysDm9ia9zX2Wheb0zTmj2ZSf/ewHFNOK0+WCaSXQlWVvbxeVgLEVmYS8laPSFpeXQzi+ojfos7AL/uTPfsLR337Nv330gjRfY3d9ncVkwuXpkF8/esmdf/Zz8u4m56++YjabEkw/WbvH1vYhqS9wIwSxnoKL6nE0a33P68H6FlmaI6o5idIk7QzyDZJsAMuS4XTMaDFlZ7NDe3FM2b4HNnjiJdIazOySYjplXha899E97t77FK1T5vMpJ1cjliKjWJZsDQbs7O2xPdggBbQ2jK8mnF+e8OzRc05mI/YPdvjjH/0+opL88m+eIVqgjOHps5cYY3j/4/fY7m3Q7Qwol5rpeMLlqKTa2kVpF7EjhPGA8zsk6/fH7+CoZWmdHuePqENfX5O3QYjTQa6B5bhPm8jkbfASZGUARk4HqOWeaPwTOZtp3mvF1BqfU0fBrcrVEI3geJuv5xL0JcKea3D/MD/x3jLqMU2RZxs/Rf2klWubEVBhdDUQuRbl2fzpBdSq7hhATBPcN3iu/+768om3fql/F9+l2Vrxli0uRIsFygnh9ymWVGoyn/qZ+Si9SBHxnetVE37NYqE+wMTvRTQ8oSztxNBJQPuC01kiyRMwwhWMdm2dw/y87c+vKbQZDWI9LdiYchnGq6N+fd1jTz3vtrkGTY9+HcnhwLynMOvlKKtrXo8s0FJ48Wur+Nb+qMX6ynnxCe+aAVYWtKnrhI4AlQ16dW0ka+rfwXFkrXMSWmmJnRC8ZSeMMboevWWxfkeiztTUDYNBKOg8ga5X+UiIU6u/b+p89f4idhayJkQx1eMQFhdt7Itqu4gORavdoSqWLKZTknTNfe/1smiEcF4orA1Or8qxKQMiyUEmDf1e0Nvc5vf+5C85evJrdHFGr5XSaaXOeeor7itpuXfngCRJuBotubgYMV8USARlsUQYhVSucnyaJmA1i8UCJQX37+zz/t19JqMRs/EV/X6PVrcHSM7OL/n7X3/N/fc/ZmfvBn/7y9/y+s0JaZJAVdFbX2N/bw+rNVIqr0N5416InhIOH0kEm9vbCKkYjcfusySlsgKVtVFpxnKxoCyWdLttZHmBYoBpddCi41lYRTU7oTh7Qp7A4cefsX3jLojcheEPR5yeXzJfFuzsbHLn7h16/TVUkiCsZTmfcvrmiGePH1IsFxwcHrC5tYO18OLFc5IkQQjLZHzFYj5ja2ePvRu3aPfWEUKxLDSLxZIqa7sUZ+lqhGhjkc36mNeO7wT6gfACYVHr1yCoc4Qb3wWCrsMbw7/SK+8C6xA7sib32kIsXEGNGNrt72WNbYT2+nGJkIdsI9MVjW0UrH0hRKkOyA+bTMT7OGYWGqwppEjiJgtWXyGMh11uJ6uYiODrodsQfO82oCto1gT6NcCyPqbGeGkkrYsqcJcLwpPquWmIKE/MrquB8R7lmpOGd4390HEM24haJbDeGOH4cpPVNJUWERcgFEYLTHuFUbm4tWve/1p9cILJCdWBNAxSw95AozEM5xZtNLn38JvKt21LiHnUkVlbR4guRN/4vH/Xts1KgTYVAsl6C/JUUk0UpTF0leGgq1HKcjRTnC9Tz5AFQVRb4QzAARQTaCcaMGrBioXCJoAkta5gpMXXorDK52M6gFZYReHrSFTeoERDqIdw/1oE1DNYWeXf1/2thc/1DGMUXqkg5KaHvVnvn1owNtISRIjgIFq4V3PVag9VMD6E2g820CMKgyGV3gMiHLPR4acBrd38JQKEMd7D7nIGm0WkauXQxDAzbSxWVD71JcwOuF5VXvEwrs2mS/tx1dqxji+FdwicIBzuuV4988LaRIYgffVS3w/ePzt484QQlCZjXeYkekZpN6G1QZp3GQ/PyXa34x4OBSKNDT8dPacKhCl4+ught9+/gx1sUBpBab1PRjgF+cHP/5K/ePOc337xrznc22Ftc4fxZM786oqrqzN+/POfksqUr5/+htIInj16xLIqmY6nHL1+xY2dNTItefXsGTpvkS5mXJy/4XwyYvPBDVq9HmubA/avOuxuDKhmBZfDEb/67RO+uZhxQ+YkGN68eMZsOafVyilNRbq2xs72tuO3EhJfhCwYK611XT2MV47ytXWytMPFy8dUP12QigwrE+YTzWQyZTkeIzoZg8EOxWwC3SGq3UUZD2vKivnogtl8ys79A2689z7apMxHY14/fs7DUcGvH58wFYYHH99j/+YDWmkbXZZMRkNOz0+5vDgnaUn+4KNP6HUGpEnKxfGQq7NLTi9Oebkm2d3d4sO7d7h5cIOWzJlPZ1TFktHVhHnaJc0H3hBV87lr2uj3x+/4cCC7Ice9oT0Autr5VvPX6yH+q8p188PwSy1zri9v7csXK171pvPj7UO886vm3a3nb81GyCGqqXmHUGNF1tANGe++Gv/UHF0Q2ytvFD6LCkENRuy1Ea/odY0xNw0CNj67vk/wJDc3ytsg8dvmSNQ6pWgkNYjAi905IQS+OS7RFIhetjR1RyVcC72WMrQSV+zWFZAOHaVClfpaf63HXEcs2XqktexuyNbwzHZq2cCSK9dOOs8EaeKi9GalYFG6VrPGgg1tgaOm9tYPakkcVQk/Ai/pvPdWR500gFD/LrZevxA5F0K8LQ192TbW3db0Xw9GrE5CHOG7d079jZ9N+/apTXPT6p1W6by+k9sn2kApBIkQpMIVCsbYKHutjzYT4AuqWVe4vrFO8Zn+71i8UNRYJETnXu8+Eep6vVW7wjZWzK5ymOaeY+U69xDTcGzW7Szd/9I6H7PA6e8uAlch8y7WCiajCYMBWClrg0egG+G4SCos1pToqkCailInqLyFURnO+enPtYIf/OyPqebnPPq3/3fa7RxjS6oCFosCo5dsbg4QCEbDmfPUS4fGQjcicLpaVVVUZUlVlcymMwSWjfUu7VzS3uphzU2SRDCfTnj56oRf/eZr3lyM+f0/+guMSLi8Gvk9LFhWmoPDm3T6a1ihog7rqux7HiHc744lCDY31shTxXQ8xBqDUg47ZWkLYWE+uiIVgrX1DUw5xxTHJO19bNJDCotZLNHjY0Q1Z/fGbdYP7pCkHarCcHZ6youXr7kaTrHG8uGHDzg8PEQkKWVVUS2XnJ8e8+b1K1p5zuHhDXpr6yiVMBwOGV4OmU3njIYjlBTs7O6xf3ibrNMHmVJVJdPxJUWVotq5S80wtoFAv/34TqBvRE2WNQt3unbMcWuYy2rwZ2vhG4WtJ7MGCFkF3qJB/K7oUQg9dsTvLTWG2nkcZJgA4UMqQ7k/V6hDgKnzz4LFWEZloQZKNTx1QLNq5HmbIA2tAzhuwwcha1wOsme0ISRNW+WAgg9BDYeyAYYHsViLbG1DyJX3+KMwovbFNw0qonFlk28EZmCiMGysSXzDsF6rRohQFT14KOJ6+hD0xEIqtSvkZ2FpE2p/dj2D4XrrF0cJSz/RZNJy2CnpZIYklSwMtBPtws2ErUGfMT7Eu+4o4PrSWqyveGaMs4QLAS0hSDMXDZJKQZYqOsYCJYmF9Y6l1XKjzDJDdakZlx7U2ZCZT8NQUStHYQDSyqgAuOI2bh01jgk7QJ9G77a12uWym5TC1sUUEz+XwQjV3DzC1jPYXFQZvw/iHB8+XO8j608Qfv1C6F4QJa6KgT/Hur3i9mgw1Nl4L2S9K1RDCoXnhmdEIG2h1Db2X8a6llOlDRWmPasPUSpR+BIVkQDyEcJXPBYoadC+PH9MTbA+fMramN+vrau2bqzxnvGG16Yx9ujB958E0BByWa11gj/sYcc7pBMWNuwMxVi3aCUlVkts0kKmA6rpFZUVICRS6NhVQ9qwngZhLLZacnb8mu3DA7K0w3GygTQJNqRlCA9wsy4//S//1/zJ/H/J+uwXjE8eMZ5OkXrJvY/ukQLPv3nM5XzJrY0+f/rZHS6rJYcHO/S6XRKZU86GmGJJ1m2xtjZgxAlmviCrLF//9kv2uy1+8sN7iEXB81en/PbRC9qtnE/uvsfG+i6UmsfffIXKUgQl0/GYz3/2Z7RbbRLraEEKfG9dojBFgtXu77TbQ1iJ0UuqqnRGDTOn3+ug50uG55f0Dtbp9DYoz4ZYPXd8X/raGcspk7MTentrHOzfoJwZluWQN6/f8PDpa2YH97H6DRub63zw4Se0sgHFomCxnHF2dMzZ6JyN/U1+cONzJIpiUTAZTRmdjxgvpqQKdve2+PSjD9ld20QamM0nzJcL5rMF09IgNvaAlo+WCkw4KEzfH/94h4yy77rWET4PR5RInkG9DQ/eBiNNKPVOtSnoEKzy37ePb6eL5ribkEZE/WLlYasjsUFSOSW8qTmJlcGIt0dgm+Oy8Ydn/fG97Fv/ro67/lnz+uZnrKwN2JU9ch3G+TE1tlKtjjR9n2HoIoKwoMgrAdHRQs2/m+OuPf+uhkxbadayirVM01bapQt6RbMJcBta6cpn1yelOWbwDqcwbCHIEuhk7h2EtEhVYZEsDYyk5coK5qWXWGJ1lqGpq9K4f2hxTSxMZ5GEJtLRycVqSH54P6f61OvVjJSJXn4f3Rce3nQe2JV1qdfm3Wzx7ZQL4efruonn+qWrO/JdFOl+04AwglIICiEQWpJIG3XcUB9LBEeR9I4dWTuiwvyHv127RV/sMHwW19zGOfTU4/SSkL7YGKJo/t1Q7ZrHyvz7/Wga+lTToIAH9gE/OHHpQFmiLFmWs5hN6BtfotizlrrmggShQLoibqWRKFyniyTJXb0hUT9XCEhbPf7JX/0X/OUf3MFc/A3z2YSllEgh6fW6JGnK2dmIs/MrkrTN1kafTvuCXq/j8v+F08+WiznFco6rtaRR0qUvF8uCXjdnfa3H+ckbLoYLpoVlc2uH3uYeO3v7FKXh6mrojAjC1UW5cesOKkkx1pL44ntCyqj/BQeNxemUG+vrpGnCdDKmqkpamaQsK7JUsJjPGY9GDPp92r0u0/EMaSZIUVF6h4ZejjGLMb3NLfo766i0RbVccHJ8wVdfPaT0xp5Ot8PHH39InmdUVcFoeMXZyQnL2YzN9Q3WN7fI2x2EkCyXCy7OLzh6fURVlmRZm529PQYbm6R5C2ssVTVnNrpgeH5BZ+c+Im1RNgDKP6SKfCfQj33W/V82hLAE5u6pILBjEQRq2CxR1fbXeqkQtreO4/SMIHigBT5kuybQ5sYJFvBo+cIrmBa0LzNmbNgEzTGFTXSdYdS7z3gF1ja+iSHV/l1dtE9oEaYck2kw55DbhGeysgGyTQiWtz6oyjM7J6idAPdN2rxXvxYA7jxDbSqQ/ty3Fo6m1Xelqm88p2HgsMGDa+N3UIMr65+dSENHVmRSI4RgpGFSJStrHgYQQssABkpzp1+QJYY8sSTK+c0TAZkMVV2Cccj4asTBexbWwmJCs3XrQH6lDYmUWOUY8qCd4OqCSaw27HQrUiXJszBr0G9Z9roVdpyw0AKl3AaujGVhPC175hZoNvTjxArfe934HHtHW0urWBgXAmQJhclcUcDSJp4qvJJmBUpqTwt1Wooi5K7buLbhOxPWyUdkSBvOi8tN7H4RYwbdz9o4FNQmsRJ5EfZb0ANl3BO1UhwEhf+VYBywVjA1GZaCzGqExrXMBN/yzlUwTrWlArQQCB3eKaTVxJgPrHVRH1palLJII66NhWgcsP4ZpXEeZOX7WoWKA6HGQqiV0TyCFyDs56A4uwgLd7/KXyNwRRZdSpB77pQBA3lObkrKpEXW2aBcnKGtQQnlFC6Lr+rr1k8JJ5z1bEln0GPQFvz9b56SfvZzuiQEZh12s/PMSCcIRy84e/UY0elxcPOQPEkZXl7w229ecqotm5t97t7d4+arM4rFFG2XSNtiOZ/Q39+m1e5hCs36nUN++sE+a9sZy/mUaQp7nYQn3zzl8dE59+/v8/7tOzwZp/S7A4rpmNHwAtCUZcWi0tz98LNobA3KUNgexgQasr4iNaR5ztraOo+eP6TUC7pWMD4/ZpKOyVswXQw52LmHFSlVoVmUC9ph1a3AaEO+1ubwsE9VGorpJaPzK16+OuYXD7/kpx9+SH+9y2Zvh+2dfYq5ZnRxwtnogiSBBx/cZTBYJxEp8+mU2XTK+ckF56dnPHtzxOHnB3zy4Yesd3ooBIvpnOFwyGQy5eGjI0ZZh0/u/iGupKQfl6kVrO+Pf7wj8CoXXisbuDiiqnheU6G28ffrkKkpE1chhbh29vUzmyHydQxArTu8Q9y6c4L+E2S0ra9tvmdTmjbuHj+va94QZXconMvKmY15qzn+ytiaQC+807vnrx5bADorcx6uXXmf6+/RnK0w/vqa1SX10sYjL+kZTQC6icS1cfYV8rVxxW21V7ZjHR7/flIIUqnpZ5qtdkU/rXxLZx/+aondcWisL3iA9ZamJbxMtEHcIoR0nUhwhbiUCFW/gzIeZL8l9Ynupa/TU2inX9jgeg/DsDWNCRpt9bwGGHhwONdSp2QGL3OQ/za8U0NHrde65uV43TR4qoNqESZ0FViISAtRj4ybMKxx8/Qm8H+bj77NV69HzQS9tl6SELFQGhmdbol34oDXjUJaonDrrd4V+SiCPgWhmK8D+nXaRNi2kSLC71a8TSLUezFMTfPvsO9CnaC4Xj4SGYgh/HHN/E/hHQsC6YswalCWvNNnOF1idUigbtRboF7TUrti49oC2lCUFblMsELW53oqMdogNLRVRlFpjClo5xndThspFRcXE37x64dkacbtmwNu7W/x/PU5vW4rrlgA94mSpGnCRr/Djd1NBp2McjlnmbgK9aenl6i0x+7uASbpkA826fXXWS6XvHp9FGk9SVIOb96snU/eIxbXj9ARK0AMS6/fo9POWExHFIsZCSnjyRTZlqA1QiRsbG6jhMAspyRpB4FGmAphDeViSpqldHvbpHmKXsy4PLvimy+fMpsX7N28yeVkSa/bZW93B2sqxldXvHn5HBDs7e2xtr5BkvqOTVXFdDLh9OSUyXjCweEhBzdu0R2skWYZuqooyxmT8RWnr56ByFm71aeQGQZF0Hj/oeO7gb5t7IIa60RiRTQDx9zGCB6swMytd/87xhTAEzGPPVyLX5zI4xq7PfQfXRW4oh6aJUYQGBpAxm/+AJRCaH8orBLHvQKQZCME0EbGGIV33MtNaO8NCH7nRkFmbQRlISzPvZ/yodDCKy2OYVs/wcazcBt6EIgwpybeR9i6omo9FvHWJ+EIG9cZUULRMUsISW/yZeetFfXvDSbXTaGbOzNESwvszLU4NHG26iCt0Ft+Pdd0UkuWCpQK45GgTVybIFzwnmaDY0KRDKzLsams9S0OnaDPE+hkikSBUo6hlY2K6gYoKhBSkEoL1pArSStxQD0839jQVx0vsCy5MOTS0kks49JVdXX38D5aKymt9IVgEipP69K6SvpVoAlELLpohesaYT09thQctis6qabwxDqvBMNKsawkid8TpZUUNnQI4Np6+Z8ikHHdHo/GXgi96yOVBEHnxxgMefU5QckK+6/h4RBQoZhribGWzLieowVOUClhkVSxQJ/03EghvVXdtwXBK79CYa0rspgYizTeku5jMa0N4W82Rvi4irsyGjiCeUTiIjustF4JavrvBK7rgfRtqhoC3HMIGp0RamVIxLDR0nYx1Rv6yZIrk9Ne3+Pym6+AEmTiog38nPs4JLRnte28S8e2efjVLygrWEtdj+2woBZf+EkAsyHi5N+wuHrBnXt36PU2mS4WvH75imcvXjEuF3z23m1SlZNvKT7Y6ZEnFiqDLgueP31OurPOjaTN7PKSJw+f028J9sWCy/ElOpEMx0vmRcE//cuf001yvnn0kuzjf0KetTl+8jXnl2eUqoCqYPvmTdY3diJ/cC2c3O4VuPSOGJ4ohFvLbhuVdpmOR0hKxLxkenmKaRV0ZMrG4SG5alMVJZOrITPxhM7GAwQdR0dZyt7N26R2wnw6YTKacnox4tmrV/zVP/sR+3ubnO2OscWMRCguLy64uDwn66bcv3efjspZzGbMlmOsNYxHc+aLKZqSndt7/NnPf8Raq4MwlmK2YDafM7wa8/j5K2aLkjTvu0I/qcToWmlWb2uj3x+/88OHttdutSCSa4UhuBUhKuThiJJuVZGoGWhkqk1JVqe70TztWz5rPq955uo4wh2vy+h3H7bxZT2mt+GRjf+GsTW1gu8m2KZeVf+9+uZNzeL6WN8C+OL699T47/qxIsdq3bG5pI6/BADmPPntxNXkyZXTmEoD80qy0JLShHbG1st2V1G/nWh6SUVbahLMiufSGFtHBFga4xBRr4uV2uPYnAHYGR+cRzG0TpQe+EpRXxDAoMCQCUtHCRaJoKycLq0NjSLCUEfHehBuLaGrUtCpRVCCvZz61kluzn8A2P466avQJ9KQK8gSl5blxuR0n8JH7YU0gwBI4/rH/eYB4rX9F/SId9HHWx+H7dEEHdfOiuvjfzdIKut0Gq0NiRGuCC4Quu8IbxgJrQdjsG1jPeu/6/Wr9aDmfgh8qLG7GjwkrE+YkRgVgL9PY7M0Czna5t+NHW3jM0U0voQ0Dys0yjp9qdvf4uzqFUYbV3zPOe/RuIKmrui3oDSGXAhSodHFHGQbm+RY2WwN7apVJcqynA4ZvXrMdmLY3NwiUYKq0Lx4ecrDR6+YL0oODw7Is4TNQcLhTp92JimNJhESoyvAopIELExHI9Z7bfY2eyRCY6oKlSTsHhzSW99lVkouZ3Dz8D1E0uLo9UtevTpCScmyrGh3emxs7gASqQQr0aYI31rPa3Zeh2y1c3q9DieXp8xGQ4RpMxpeUU4tiai4sedS+2ZXV8yvrki7ObmZkakCUVVYvSDJc2QiqeYjhmfHPHr4kuVCcOv2Hbb393lxdEan3aKVp0zGY07eHKGkYm//gF5vDZW4QoJGl0zGE46O3nB1NaLd7nLvwQPa/QFJmmB0SbGcM7w84+ToJcv5nMH2JkbmGCv9fvMppu+QJ83jH2yvF9uFBMKnBusrnvV6bzim6QFHnduND0OPFOR9ls2d1gSdIt6/GX5rhff0EsZTC00H8uutGKIB6orknmcIQciRj1ZB4TyOEDZ/9LN73hmeIzzwII4p1NoJxoaVDRwKYTRmKVwjkJ55WELGf5jEoGiEuTAxJqpmRCuhbSszIeJMRjbRYLJ1jpu/UfO78IQQ0i6gLTXdRNNLDIO2ZlFZsIatvGStBU9HMC6lZ2zRPOFy4aShnbj8+MCghBcglfG5hp7nWSOwxjFlKZ2RQArpBUYI2XZMK0sFiZIkiSJNJUrhK3U7gCFiyoYLCTeV69pQWUPivfiJgk7iGP9CCyalK4TRlpZe6vL3sgQSJVgUTrDlqWHu8+pGpULreuFlnH9XIFFHgRQiHOo9lShLP6nY7Rh2+4Y08etkHQOeLEuKUpIlrjL9cKE4maeUVjDRasXrEAg42uwb62mDtI3jq/eODHskRpVAgzAaOzN836DgBp2WRqJFioxRLlAhSJBURlMa4VJWROWs6AJCpI+rFeyAtQGWleunKoUzFsR2m15QB6+LUyxE7F7hvKwWhUYKgcaivMEjlXXEiguJk94D4GG4bQJ6CdIVaMP7BkIKiQvLh4o2NmmjqhHIPqq/jdIV5XJEknQIO0EIfAqFu1wKQSIKXjz5BpsqPrv/PldJgmkYj/A8yxRLFkd/Q6qP2L6xx8buTSZnFwxP3vDq+Qv6m2t8/vnHLCpBOZ2ymMzY3l3n1scPWO+0mAxPufngPdJWG1sW2LLi0ddP2d9LqIyilUlUrihmFT/4yWdIrXj+4hXHyQaf3f4MowWXp2dcDS/obHZJE8Vga5dep4cSwrWa8bQRijAqEcIZifwdFGkrI7eGcj5lfDaiKKdMl0vKpeHB+/ukRjC5OGNWTLjRnSCLI5b5HQSCLDMkM8t8MuPizSmXowlvTo746U/ucufOHcZlypujV/TvtjGlQS9mrG+vc/vmDVQlWM5nVMuC6WTKYlrw7NlrsDNGleKjzz9gqzfAVCXLZcF0OuP45IKz0wsqKj7+0fu02vtolcd6JzJ6DUStFH5//OMc0fFQg87rnsVa0YaVTjjXYIFoXhPuGHUl90uQwfXzvg1ivM0zV+4dgIBoPLlx4rtAuL32y+o5q6Nv2DWulySodYh36YAN3bD5dX2+jB/YeMG34chaB2zqeM2b2uYfQZY0FQ/EW5cFueVShOoCei1l6WWajtKOv+Oi8hIhkSgWSEqr0MZ7voUhV5aOqmipikTo5spH/eJdbePqtsqhLpWfG+HHJUSs4O1AfihUeu0dbdAlAeP02kxAN5FUaYUQykUFWs9PpSvomkrjoxe8F9rLdG2gMoJSu9aslU9lc8Vnw1o1vOGCdwJbJSyZgk5mGeTQzyy5ch2QVCQB1y53XkmmJYyXgmkpKbQbQzDwhiA8Wz/grfV86xDv+jXopTY6S+r3efe1Qa+ujMAI5TpihLWwIVrBIq1Bi2b7br/3Y2SJWPm99uQ36FMEhBDOakQHELQbr8tS69VSNHTsBr9ynvoA8Ou6CuFM0+RlzQhn4fa4K7as0FiyTt85AstlLFURIoisELXH3jo93lQF6IokzUG6HBMl8PWKACGxWnP05As2lifsP1in28so5gWvXr7kzckFt2/dYNDrkCpfxd5YBv0OrTzxOEugVEKe50ghGF1c8NVvv6TX7bC/0aHSLgm43e4iWn06axtMz6YgBb3+AG0sr16+piwKkjxHFwUHewf019Zcj/sA8v0/UTbbGvsIASLN2NhY5+jRl0xGlwhKlouZcwrZEnYGmKqiLJbg0yir5RyyAmMMWZ6QizboGaPzU948f06iFJ989jFruwfMS814PKadpehiybyc0+92Wd/YdO8mJcYYiqJkeDXi8dPnXF0NMVZw4/Yt9g/2EQLKYsFsMuL89ITxaEjearOxdxvZ3sGq3BU2FHXhzLc2w7Xju4G+8BXQsTVY9qBGvIObm+sfNQRnXSxARGYXw9hwxTG87zgKhaBIxjAxatAevJrShkr1NRQJeUVW1MXVai+/aBTu9kI/vkJ93eoRtmYNSlfmaeXD4A1vhL3464PAcJUufQ66Ddf4q22AF7LOb4sbrj6pKXgbowgz3Hi/VeaDqNciwEOAVFravprZPISwY0mx7OSa/YFBKsuiBGGrmLu03k64pyqORpJx4drBJWiMgEQI2kqTqyoyf1dhX1BUFmsMwoN5bVx/VqxrH4T1Ut0XurNQ94oUgiRRtDJnNEC4sD2n9Bjv0XVecAcMrXt746x6mTLsdksyAWni3tkAi9KQSEE/d5ECoTaDFJZe7ua8NA6ktxLopCVFJZiUkolOKA11CCC1NTfUpUBAP9Hc6BS0EkMngyx1kQjBauw6SfhiMm1H1QbotTQbbc2okDwe5cxN0lBUmuImhKs1KcMDMk8NISs9ZHw6sgjheS6sS8R95eC4iBQTX8pHXtQ1L5xwcsJEWtfhQPjc8xSLshJtXSsXxxMkFYnLS/c1MaS1VMLEtm1BYAYeYADh617YhjIqrPG04iBoYiyV8O0ajSGRBteuEkrj30jg+VkwJwb46t5U+Z1ibBTbPvAyY6pzemrBiQar2rS6W0wvj8i7N9zMikarPlEreIurE4w03L11hxeXFWKtR+bfta7mDuOXv+H05a+5/eEaa+sd5pM5F+fnHL8+Zm1rwPv373B1PuFKQ19aciEwSiCTnOOXb1B5wp2DfXIpmJ1fspzOKYol3bSDTDMsCcvZlIPbh9hS8PzZS/7dbx6TfPInfKpytLYML8+4e/8Os+WY0XBEb2OLVtaqvRsizJTjeVI4A4qQwdgkkCphY2sXWUpmwwuWF6dUtnJzWTh6KaYLRpcXJL2E9UwxGb1Cb+yCyWB6gllcML+85NmzJ4iO4o//9HP6vU207PH80SUvXj3nowf3IVFsHx7QSRMSIymrAmFhNp+zWBa8PjrhzdkJWTtHDW7S7UnssmK4mDAeTnn95oTxfMztBzd57+Y9lM25WPhSrBaEJHrrvj/+/3EIgrs18qOgjwCrcLyJYK8jt1V4fl2ei+aJ7+Cl9Tk2froij23jrOAUufaglTgBb8R8W6avjk00P3wHCUbjx8r9ReOCaxc20MI7wTtidZzXvrv+V/3W73qHtz28QSl/+7zgSfW94YUztidSkEpIE+sK6SlDJowvBurrwQhLIivySrDUlQN91n2XJc7pkIZQ+tqO8c4CmxHgx3mg1r1siD4UPifYIkRdBCwAjybQdRFzNj5HWgfeu4lLBexo44rD4fSxVOH+l8alcIkasFqvZ1RGsKwE80qwrGBZuXo5pXEF/oKiHfK9o/7spz4Rlk5qWW8LBrmgnRhSYXzEko1pWEIIUNBNLf1M0EkkVwvDpFAsKqe7afO2vt6kq/DMa5vonUeTxTYCeBq09e6bhMhS6b+W/voI9II+I9zPlcsb4D56SaOOUN8jUHvtHrj+u/8Z9JdQTwFbjym+SyMGx0LsJmLrNwy6M6zun5oTWq9nObCftDqItMV4NGZ9fdvVgrLSOVqlwPrU20SCLWeu4xUJIumQ5C0qIVxCshC+LXHC8Pg509df8tE9gbAFxdxwdjpkeDXixv4OW5ubLOYLp9NLEfXwVp6TJopUuS5NiXLtvzMluLGzweb6gLVuzrIQCKVI8oy51lxcjHjy/IS0twtWUixLzi+uUMpV75dScev2bbI09V1/BFjXhSvgL0EjCiisrJJsbqyhywXT0RBTLSkWc6wEU7q6POPLIeV8RFVVtDtANUPqKdoKpFnA/IrZ1UtOXz/DVIZ7H37M+sFtKiTPXr3g1asj7t29iQG63R6tTpcs77j1NK7T1PnZBV988TWj8Zg8b9HtdrlxuE+iBMvpmNOTY87PTxFYNrd3WN85RGQ9KjpYkXj+4vkkATt8+4b6TqDvbmBWQ0hqhL9avKxmhZFCw8bQ1PvJRJKF0Hc55tF6JhANASLk4dfGAfBMpyHWwj2lCFVH68HZxiLXG7Q57jqsLqQWxDgBH5FgMXE7BUZv4zPsypgkjRZoDSHp5q7BSGIYYhOQ20aIUQhXrplOQ2WoBeu3LG4Q8UHZEB6YCSzKhukJQsmwk2neG1RoJTgeSyalIFOW9cyy3jK0cgeyCm1pp4JUCvIU8tTSxXLY15xONVUlaAlDnhqUglRYWmmTOlzBkmWhkdbSSh1YX1ZgtCaEaVtr0EZED3EoKKNEo8o3EiVqBgq+gKN7ClK6lXAWZx17rwur6aUSpWojEVhS5YSr8MyhnYZ2hc6QsDTOa+AYFr7FnyVJLH1jmJeSYaGYGUXiHkQQfUIK2spyu1+w2TWuhaMHDsrVe4sEbqyg9EaNVLl+80pBK7doLBuZplyqCKwDZUi8B5lauNWhdDVdqMZmCkxQ4/PQrPBeC9ugoYCHV5XFmP/mgbL2+8D6yB1jra89YClxtSskAmnd0yqR+haGTvS5Wha+EwHBE+HjFET9ZOlfLBgM3DTH0QCuEr/COEElDdY4D05lXeFEg4xhkK74pXL1PUJVfyzSA/+o7DYs+iPa9NNzTFUxp4XsH1JevKY4MEhfa6PegcLvO01ZLbh545BXz17y1UXOgzsJyqcNRTPDcszxL/878kHBoLXJ+ekZ06JkcnFBstbik08/5erNGU+eH0HaorveosKwXJZcXlyy9d5dNtfWSaxken7G8ekZM6m4dW+PW9sZSiXMkxY7uwOKecmz5y/5+18/4eHpJTvth0wWc5RVDMfnCAVUGmM073/8OalMnBIlQvxIWJ8gHxxRhQ4LAugOeiRC8urpYwbLgsqUaKPp7NwgUxsUsznjqyu6t7ZpddaYjSdQTBHWoK9eMhudcfziBaoj+fwPPudg/wGTywmzScmrV8fM50N0tSTPMjrdDrl1xX0Wizmz6YwXL44YzyccPX9DvtEna9/g2Ytj7t69QbWYMTwb8fzVEWu7PT7+4Q9Z722SJW3GwwULnZCIJApSFb0H36Glfn/8zg57febfuQx29ft3o9h/j1P+fda4qXlfv8s/8OBvvd//GNr6rmvEys+GBvcd373rvqL+EVHbv+/ovOMjAqUa6NuGLAIfPp5YWomlnTrvfaqcrEw8sFdel6lFvwOkqU/n66bGVWL3QF8IB5hzZWknkMacecDUkQIObNmo84Z5Cllt1htHbNQDnYyKivZK1GrtVAqTW8thJ6AlkClLIqDrSrX4NINgVFwFlyES1QpnKAhzkUjIFSyVdYBfCwotPAD3KY9R53TGykwZepllvSXopS4ywnUVqr3Jod6OJKyVk1MtZeilIgLTpfbgyo8tdLIJRoUVSnoH2QTZ8U6+2iC7QLLBuSbeunvtmiCsl/A6WKSz2sFGY31qTaoeQ+hIFXBJs6VqiAhoaufhdwGxjkZofyib3628aeOdrR9H0N/Ch9HA9O7JUSEaRQhUmtHtDZhOZwy0wSZpxCROZ/SdoazGlgVGO52rsAltlRHS8gSCSkvKxZLRyy+4vWlZ72fMJ2Nm0znT0YyD3W36gzUWy5LT03M67RZ5llEWJWWlHTCXXqm2FlMWLMdDpufHbHQz1nstskRirfIpA5avvviGX375mqOLCZ//+A/50XyOUoLhaIhQThanWc7tO+/52gk1rlrtHgWheDc4upVCsL62DtYyGV6hlwmmKtFSsDbos7O7jdFTtDZk7S5Zu0NVzEmrKQJJsbiiuHjJ/OQZqVQcfPAh27fuUtqEalnw7NVrzq+GfN7/hG6vT54lJFmOEBJdaYplwcvnL/nyi68ptWFv74Cqcq0G83aLZVEwvLxkNBwx6K+xu7dPqz9Ai5SqcgUNpamQPuc20GxwvH7b8Q8U4/MbKuACURM9UOfGr2yWhieT4M122722dfnDxw6LxrWIuvp2DGdt0HeTia4o4WGjRSFUe1ED5grtNa4LOgeADa4npd9koj7DRkLCb8SaIa0IA+rQpfoFm3PZHH9johvv2zSFCA9cdeM0EHFBReM2zf3/LvkbDIWEdIogKAWkwHqm6bTASksn1TFtIlMO1CJ8RVtjnVSxLv8lFBFppbDTNnSUpZVJlkagNWSpC1UptfFFvJz1O09wrQt9CIoQOirRFlf8I/QkrQWtpDDOqy6EpZ3XhVKaBijhX9g09RI/+QEOKokPTfPFbYQD1O7SAF7rkPtE+XoPPjnXWNDa96/0VOiK7BlUaV2lfSvopppcOQWjn1n6LQ/whSWRvlCPCLn3bgxF5faANgZtXEE213FA0E4tB70SYQ3nRU6BjBEaglBWrhYoTXBqm1RyTajWuWSQWLFKT9TGkDp8H0LtDYOsjVL++SENxdVasCBc6zhjDYikca6KzwodC5R/im4OItBx2NM+8gDhaKFeWeK/xlqsMFhrfEV8gbahOZVEYpA2tLJUaD+X7k1kpKOatmzkV1PRR1evySiY0Eb0DxGXDymWM5JsEKMzYkcH6/7e2Nxk/PILLscjPvvg96m88uayTgTCGPTxI7LynP3NXSZvjnj29Bm9nR1UK+X+3fuMLoY8ffGGl5OCm3vraCPJLKhMsbU5oCrmTKfQ7g8YXY558vVTCquxVKRJG9VK2dncolws+ObxC7748ik7N/b54MEdvn614O/+5b/gYHuf16+fM5mPAUFrsM7Nux+BDRWOTWyhI4yjXeOVmWiV9Xt59+Amelly/uoJabePtQJdlGzd/YSWsIwuv2Kql9zc2kaJjGJ2RbVW0loW6NEZJ0+eUeUFn33+MeubhywXFcPLES8ncHY+YVbMGAz6DDpdFFCWJZPplIvLS06Ozzg5PUZkit/7o8/pZX1evap4tHzEdDZFa0gSySc/+oCt9U3yvIeyitlkyvnVhHGSsKVSglEY6jDB/xCg8/3xP/1oKr+hbW1T/jVBZJPX2ZWz4ilv4/Lmvd71hX+4uPZhXShr9dR33eRdj6zHIa6d11QmmgbHa+/99uXx2nelBdRX1tblJsAJsZXNe78lD76F9r9lSv2Y5coZ8RZRTrvc6U5i6eeGtZaTmS3lIvRiP/DIM0WdymUb8izoazZ0d3GL5pwETn2Jnm0/DcpfJv29rNd1wtrG/ugYn59uffqXAxOhaJsQoEJDa+vpME5Vrc80J0ri0hKEIOoDyv/tVTaCwRuvJ9iGkymRYe7c75mETMMyRhhaKl2nmCYSWkrQzSzd1IF2Vcef1eUBGssX0uMMFmtc/aRMSNqJQWsZaTikDgT9oFkQsbFJ37r/W582HBZRw19x8IVxNvaI9R+KVXp2tODvF5xe8cqmqaBB0/VWi9/UuMCbrWwIF2+kR0CUD6HGWXAWRX3drkxDfe/rc9FgVxG5NCYt4BqBwEhnbNf+nFa3y9XZFbqqMNJ1JQrumzA3la7IrOtwVVYSKzLvEXet+wwSYzXF8A1y/IqNbY1eOqM8wO7OJu1Ol8XS8PjRM05Pz7l/9zaZUlhjyFRCK3MpncIaMIbleMjRo6+YXZ3TbrUoiwVKQbFcMF8UGKmYjy65d2uPnZ0t2qrk5dOvmczmnJyeIJSiMpBkHXb3Dv2cumgaa22MeAlrJsBHDoPwkSkbm5tYa7k6P0Gs992MCMmt996jv77J5YsLkiSl019HZTllOUMUQwQKUYwpFhNa7RabN27R2r4BImEyGjFbVhwfn1KWhv2DA/K87dIZjaUsF4yGI54+ecHJ8Qn9tXX2D2/S7vZ48uQJR0fP2dxYx2qNQHLr9h3Xei9JMBaqoqAqNJUxyGxJ1hVIn1djCcWn+dbjH8jRbxwNaSLq7FYHfrwi7CK/bcznd9jK+tBe4jm2pt6Gx72xiZvyLT7bxs9Dhf3QSxwEoVhXKE7RvDhuoFWcUz9RCGi000PalY0X3mVF7NqmgHR+fBvAetjNDSZSmzlWRxfmombowfAggNAuzP3TBGPxfWvVJ/LR64qKiO5iz3iEa0OYYl3uvbJstA0q8QLHM6IgcMIMGCCVKgrI0lgKDWXlhOh6Czq5H78WCEOsgi9Li/aVboSAPPGtknxebyuVVEpEIWuUwGpXOBFPP6URFIWl1JZlaUgTWOu4PvRNz7bDdEEK13Me5sUJY29JV7X30Uqfkx3uFdbBL5gSkEk3JmOFN1wI0tTdOE1cWkC7dPX0fc0NhIRBBu3MFV6z1kWIhBpsJlghCF5vH9khQdu6pqZTSiztTLDZcgrHVZVTNCzw9Zo3qDYqUkHgNj7wNCQCgl4xmNS0JT2QqxlorRQ65aOpkLKCj60IJYPcZKzWlghE29jLDdEm4vW2LkBp3bzXETK1ahqibtw+MFgSKmsQJLEqtSEYcUAife5lo39wYwZqJmXreQPmtk2lctp6jBQDTHsdJQVVMSLNB+6+keoch0iMphy+5nJ0yYP3HzASHRDK05wFI7DzEfb0C/Y22vQwXJyf8N7tfdJWF9HKmF1d8ezZEV88ekHVGmDSHJklJGZJliZ0O11aeZ/t9QGLq1NaGz0+/vQBi+mMxXkLI0qS3oBqWfD1l084n035Z//FX7FOwlcvXvHB+zv8N//i/8Yv+n3K2ZRuriiLEtvpIWWoDeErjBgQ0tGyMNEVXHgAAQAASURBVJao31obPV1WQNZuu3SE0xf05YEz6LQ7bO7ewr5+yen5Fb3NDt1un/l8yXxRUpYlyXTCfHZFay3j4w/fZ239kNlwwWJ6ybM3ZxQ7H3M5/DUb+xv84PPP6KgMs1wwHY9ZFAWvnr1iVI35/GefstPZoKwMo3HJ5fkZV6NzXr9sMejm/ODzD9job9DvDJgNZ0znUy4vrpjJHssZzJdzelnfpeU2Qua+DSh+f/yODlsX44spq00W5wVgXJYVxadWzGl+XyOQeO/ml9dlaeBR9Z82jqGhzGCvn25pcAOgqSvY5jWr2toqUA9+QHvtHb9Dw2tc+Ta51tetPrupt7x9vHuczXNX3v7ar03jQu35dBXqoZVYNtuGjZahn0Nbuar6LjzXer3PXWtwoDJWFG96W9/x9sLL8wAEgiEgAirh2sla640H3pjsAIQr1hd6HmGpvfoG0A0PPCBlMElwbX1r2sUGOc1K4T5nMAggsvlCq+vlzNF+NbwhRAlIhStq2zLNTgKu5lEiLZkS7n+Jj4x492HxAL8x59bU+lEiDJlwERfWSoR1re1cTeFVnblJr++gjnfSWViTcO513bm+2O+J1a2yMm91oeFVfdlem9NwYeAnTedg45uobwBv0Z1trnfUS5uB+iLqpW+9b3zBa6OxzdkMY3O/hvhHK4SvMWFpdzoUyxOKokRleXRkWF87SEiLMhVCV1gj0CZBqBahfXh8XjUnnTxnwBWJNUibMBh06XQ65FmLorA8fPyMx09fc+vGHoN+DyUsbQ1rgy6dVu72nsvZRVpDr9umm++QJgqZpCjlxjWZTDEIdjcH3H7wESUpJ5cz/vW/+n9zcjGm51vjzQrNYLDOoD9wvIOA/6LCSd0rjaAwInF4Zm3NFbu7vLyg1XLddESas33jPSpRMhzP2NneIMs7GKMpJhOyPHdt/OaXWFOxtrNHb2sXoxLmoytO35yi2k5/GfT73Ll9C6kSdLlgMZ1zcX7J8+evMNpy/8GHtPsDlEqwQnBxMeTJk2fs7W7T7XbY2NikPxgg0tzVDSnmlMs5RktQiqrUtBBYKXxquvCRDd9ef/+7PforAsrWREoA9+7vSGgW6mJ4gbidkhwGtJrb31Spr4u04CUKfwd7sI3fxcfQaKPRGLNT5D2D8tE6rjVeDUYI7xX3kh+JqMfTZAW139BGsUtzPOFML/hX5uz6/BI2tohW2/i5v39gtM3bu2E2Bf4qs5LU7x/PEjVwE8KQYdnPKw76JVkqSRP/VhbvIXXATvl3cdZru9IBASkoS0tVGDa6irzlZkUbF37nCvCBEpIkkcyXFu0r4lsCuLSIhpCrqSahMt6zbQXzUjOvNEVl0MaiteB8XKGkoJ1LCt+2TQmi9c41Fwm5405oV9aQKbz1W0ShGiruawuu45/weCYICHeEvrVg0cIbRkKhHOssa2liSYUlT0LqhzOEBKOC6xLoCixW2uVlJyomh6Ckr46KxZq64IY2rjCfNS4ioZ+ULI1EGEURcrQ83Shc/mJl8Z7qQCnB4hkkje8RH/eTDBY7xDX6Uj5j/ro6GIr6hRSc2mYs0KL5TC+2bB1BEFpshvoBgYpXlIFgGRc1H6gVbNF4pjcyRW+H8AURE0IwXy0CRKRxAT4Pv/FM6loWItYPcYO3QEXK2LTI7cSFT7Z6lLSQxRDLLQLHc+/mDDfKlowvT7j34AGTqwmvdMqmylA+hUkYS/Xma/r6GN1R2GLG4b332N7aYzYeMRtPGF6NefbqiA8eHJJlA+hv0GsL7HLEzo0b6PmU9mCb8ckFxydH3P/BZ/SzFi+ePUesraFnM6xIOH31mrWDdX545/fQWvLs2UsGt/ewE8HwzQnHL59zcPOAzd4WWZXz2V/8p7STVgxrZUVBNJGOwtSHrgMW6G7tsL59wEzPKRcLrLV01rZJOhtU4oppUbK3tUsxnlBNS+bDM3o7zymnsNBTbj64Ta+7yXy64OrsioePX/B0tOTm7g8oliW37t/hcOcAU7kCN2+OXvDy9WvW9jf5kw9/RiozhJaMRpdcTQ3PXp8znU/IO5LPPrnH1mCTVCQsxhOW5YLZeMx4uSS59Rn7rHN6dkbvRj9Gy9RU8m3q6ffH7+Jows9g1iMAIogEueIoaCKtphYeP7PXlvF6AG99s9pj3BiLDbJ45Rb1YK5RzIp6H1huvO3bGse7j1XI8dYjG29y/aqV0UTg867RvvW41Q+uf2a//fvwhNor2eDEXkHPMPQyw1ZXsNl2Xv1UOuDqZLSN7xjS0sIvIfU9GpsbY4ntiz1RrJBGgyxC5fzwnQSXz2w9kDOm1i2tr9BvLNq5+dE66INee4t01tTTwvD8mtn62UKKOC9NH/PqetjVb0RDX7MO8Ekffq8EGOl1B+ELpgqX2qAkCGRtTGhIesLvcXs0IlYsdVqDV/+dniHQ0s+TkK4oYLiFbe5aarK7tgaNFbv2V0O2s6oHi8YvIQL1rVtEHf/dz1jVq8XKPZu/XF8JES9u7Ki3Hr8S//i2rm6bfzcNCnb1mhWQL6LqFudV1C8irEt7zVo5Qkpm0xn93hoa1/Y3PlJaElNhipmLcpSJMwYYENLVzBLGYkdHtGYv2N1vM+gL+v2UJFVIISmWhucvXvHw4VN2d3e4cbjjCmELQZK4QtlJopwjzWis0aR5xtbBIaYq0MWSYrHAypSsk7K1n2ERLCpDmmcIqxBS8Mtf/YalFtzLc1TbGRcOb96h1WpjtI5RJoGWCQY6bCxiGFtEWkG7P6DV7TGdzZkvCrQV5K0+rY19iqtjFqUmzVukec54PGExHtJbG4BJ0PMJ7U6X/vYuMs2ZDEd8+ZuvuJpXvPfpD0BK7t57j8ODfaqyYDIcc3p+yZvXp3R7Pe7cvk2723XP1Zqi0gyvhgC0Wi3yVk7eaSHTFC2cU7As5iymE/LBHrK9yXAhKCtNkgY+I+o09285/kGPvmj8Hz8XbsIkrhBX5MAeIARqEtTMLKQAmMCYrw1L2JqZW4g9xcN9LD6EPTJsG8O8hV3dQiF/KVr+hS+sFTx279j8gkbV/XduPv8eoi6uJ5r7LyoBnunaECrl7+nlW+3l9P+I5i3C5rZ1X03x9vw3AdiKlx9veW0+x3MFIVzl81RYUmnYTjWHg5J2i1hdNRgWKuPgsQRn7cOBTBXH6kZTGIuuLP02pJkFKZzV27qCMEKCUi6EvjK4VmqN9Q/SInhqw5tK5UL7pRZUWrAsLLOlZrl0OfIhmmFRacYzUDJHSMuyshhtUcoBZ4QLJdPae8aNW1stgu+3wXT90xXufY21aO3GH2bbWpf77QP6nEHBRz0oEdqiCTIF7cTGSsFhVYNQkdKF5ZfaCU4lCbV9EPG+tXDV2s15ZbQLA9LCFR+UhkFaMADGVcpIZxggEYbUQ9xUWAdzraCyss6ljiX7hJcdYU9Jv19spOWYh92Yp7i/BT40v6bOGFUjrK+n4IwWMjBgUd9DxcucQA/pFmHn12ksxnn2g2Ljn22bvEQ0GL2npSA4G4FzBENe+D1E4rh7hLekNiggoxGq3suCue2xbo6QsqSQLZLBIcXVa+TWZ671nL9HIgVKWlIM67u7FJMjvn74hOrWbSqfSiCtQhZj5OgbWmtdWrJLmmrWt3aZFiXFsuD0+IyHL1/yBz/5nJ5QPDovyKsF1XxJG8NyvKA92EYVC65GF2zu7DE5OeP06IiqmJOlLSpjGE9n9Lb6bG9tMZ8uePL0Ja8Whj/57FMePf+aq/GQmS7JlWJyMcKkGYd37pP7KJvS+s2g3LxKryQTlEA/vSbIAiHpr68zHY8pqhIpU5JOH5l2Uf1diiLHWku1LBienFHYCZ3FS66mCVuH22xs7lGO5wyHY968fsNvv3iIHXTJqNi6scMf/pMPSaqEi8szXrx8gqHkvQ/vcri/T6/dRy9LZtMJo6sR05nk+PSIz358n5/83g/oqpyq0lhbMZ/OuTgb8vjFESfLkk/v/5xO0iW/ukJToshXIkm+D93/xz1kI4Wmjriqj9XVsPHfVQW6AbTCmQ2t+TogaPLI5vdiJXSuvt9buGX1dvUJotbf4zia2DD8aq9d24xlfvv0xt/hhcTKJFzX467fq3lpfbPrs/KO92zOobj2xbvex8v9VFR0U8NmF7a6kkFufa54uLr2ise0LXf1asVp0ViKd0yItfWYA1gNuor1n4V3j0V/4yKFl/L539b6QnhOHzHG+vx8XbfzCuFNjTG9m13U+m0dMt+Mpatv0bydc6z5iIKgT/nzYwpBIBVhY3HbII8RQd+uFy5qxHFO3Lw4IOV18DBv3nMsrPMmZgKsdLJfIaisa28Y3w1WZDuIGAr/DrJ/ewGp9++1aX3r4uDIcCke1BMv6ittHNvqpohz05jRoJdx7VbXzb7RgXI9Hfn6aFf2dFD0wxoGPcXGr9+eifp+UUMK+oypwFTkiaDXaTEZjVnfv4U2CqskQlmET8dNtMaUC4RQrn1zJTGldpGqtsKO32COf8XeesXaYA2VVqTSYirNvCh49fKMy6srPv7oPv1e1+uxvsuVrjBak0gVCMnhoiRFJApT5RSFZlEJ8jwjbWUk7S7LouT85BwxHJPmbaaTGePxmEJLLi+vyMs+aXeDDz/+PM6Nce223O4UxJobzk9nCc4gg8BqQ97qsLG5ydXxK+bLAoMk7W4ieztkpiLJO6Rpiq0KZlcX2KIgMQXVcoaSlrX1TVqtHrPxlF/99d/x66+fcnj/Q9qdPnv7h3z0wX2SLGU2GXF6dsHl1YTtvX1u3Tig12ljsFTGUC000+mE4XDID374Offfv0e70yLJMhAgbcnl+TGvHn9NaSR3f3iPpL+DLmdM5kvWWu3G3v9OyfMP5egHS0GDwhpm0OC1ul7lO16LjUW0AlnW0qZWtqUNTMf6LFkIubti5Xrr2nT5ZwQmLRpPlDhPa4IDpoF5GuuhqxBxb9XbKYD3WB8fsCuFzRBh64cK5H73izpMNU5TzB8Ob11DjabC0BSYUtSMuw4vawiHhgKNEPXv4W8PmmXY/MJXCBcO0iksXaXZb5d0Mk03FXRzF16eKKJlWgIqVLq3FuMr8GO9Uu/nR0jH3GUCUjmhK73gm5WWqrIscUBZW5d7bnw+u4vEdn+vcmtLyHXD+FZmxrIsK6xxRXgQATAbEiFYVobLaUmSuLlwclY64CxDlX+NNtp/77odGJ9vphrC3Po1Dt5v4yVbM9SvGe4XQv4lruhNAO6p8kTjb90UPE0bb/CEO0FS01X0UFgfkaAd1VXGoLWgrJyRQElBJ7ExrE5YS2WVC8ui7hEshaUykpnJqCKthrzw1d2Jpx0Z9qmn4UCbQX2RWNqqpCU1ib/H0kgWJkGH8BlR7664S4WOVAom5sSH711ee03zwVgXC64INychsiI6hxrjb3onmgVKgmFOxvPCWYBo8jF383Bts71nU4Br0cOUM7JkQUFOOthl9vzf0LYFUuRufws3ZiksUgGm5NnzZ+webJHs9DBSY7yvOJ2dkGVLbnz4EcXpG4xYcHV+wWS5wJYlw8shn3z+MQfbO3z9m28QaY90doVqaaqy4Pz4jN2rKwpdsnvjgG6rQ1kUbK2tMZorqsoitKHV6dIf9Li8HPH8+TF//dsnpHt7FMuSF6/OuJxOEZ0WVim6vS60O9y9dZuOEmhhMYX1uYCOlpzRqWEOsiGk1Kd7pBlba7u8OHuEtpZUSNLeJlbkJDsHbN34FKXPXVG+yYTOTptulmLaC9prG5STORfHJ7x6dcSjly/55Me3+PDBR4w7a4w+esD6YI3ZeAiq5L17t8jSlHavjxLSeQ2WSyajKbNCY1rr3Lp/yM9+/x6b3XX0ssIUFZPxmK+/esrzo2OOTy9Yu3UIegG5i5iZjofItV3v4ZLfobh/f/yuD6dU17rE9WVoytVa5Qg8ngbYrE9pyuVVzaDmLMCKXK7bczWOCCj9vzV+XCGYkDrUfOrKQK59FX5vGinF6qBXfhXv+NA2nxfVsFWQ964hNKfrOoD5TpAmmufFifHtOC0tpVlraba7sNGytJLqrVByC1738IcJY/VV7xvvex0GBm+39ai1zq23HuTbKNNXAJVdvUfQhcJ3/na1R1Y43aEylrLyEXo016AB/lbez9FZ0JEJcl9AMwe/HtI1cN/8xSv8bm8E2WijLhk8+vX6BoVyZaLr4Vof8h/nzOff+whD43+3xkb9Mvd6g5ICZVx74cppi2hqPT5UxrcNXbwGudePZrxB2Jc1ETajCmOFda+PuChUYmoHzXWM6T9hP4VU0neMoLEpVkB/g+rCvNfOu7B+q1G98X7ho+bPt/hO/W/w3LpPnCYu/PsrCYnA1RxCY0xBkuVsbq3z6PUlRlfIVGGljYYorMGayheFFgghXTh5lrm5nM2phi/ZH2g2NvtYlmA15XLJeDhhNJ5TVIY7790iUYr5bIauShyktO7e0pKkyvFqGSpdukjZsjKcXU3IsxSVpEipGE1mvDw644tvnnLzxiG3bh64VslVSakdrZRlxcHuLvuHB67ek4/UjfNmbdTjIy3joiU1FmENqRSsr61x/uoZi8USIxTdrT3orJNJS3/nEDBMLi8YX17Q7q+72knFgk63QytvMT6/5KvffsnwcsSHn3zGjQ8+ptXtsrO7xZ33brJczpnPZ6gk5fDGIVtb27TyzOE8o1kuF5ydnnN0dMytm4f8wU9/xGCt7zArhuViyuunj/nqN79kPhoy2L3DHdnBJi2SzDCZzukO1kAIV79Liu8E898J9E0gXD+BUR/3gDB4Yp0ns76uGYYeFsDRsd8UFp8v65lW2Dz+EiUtxhrvk3RbRuK8jLlygcg6trxyOUMuT8GFpSsEiXDea4DSOoYjsL7AV+Quja1VWzfDlgrKalMzcMygIRxt3Y88nuCZazirIQ+IoUzXZPuKZfEaz3MGF7/B/UQHT2icd7F6Wc26nBV3oCpud5f02pYsgSyxpEqgRMi9roGoiIpAKLAVPP71Q4VwrV9aSV0Z1vo1aknLUjpBWlVOQATgqvEFb/y6YZrCPAgjSSktFVBUGqwmUX6tvOc7Vyq2xzFaU2r3PkJJBz4sMXLAWIsSMtKlK0ziqvK6kH3h6dXnG1tH08Fqr0IujAeZxgYm76JMCl+UzwlzH9ptXOuaMC+Sawqo3zMBZ8e+qcLPmyU+37Ue1OjK1UTACFIpSaTz6hsDpYC2smgrsCgSoZ0XXygkkElDiUYb30PV01IdbhiEmI/rEKtEGIwa7j9JrirW04Juop311LoiiYtKM9M1W9HWhc87vzi+z32JsRLtM9mN323GF8gjeIjDPvMLnUQTjBegslZuwnyGPRUoWiJiheamfx988T9sNDJGFuflkivQ5L7XxqdfyKhyIXRCkmbkeoRor6HWtikTiVic0R4cEBTpVLg9mC7HnLx8xPbBIe28x4ns0U1dCotZTJmf/JIbt/YZ9HqcHS0ZXp3z/NETksE6ncRy7/MHbKxt8/Kbh1xUsN7P6FmNEJBQceP+XTa3d+gqSSY1y8mY8WxClmY8+9sX/H+fPuUv/vBj7q6vcXZ0ytdPXvLLL5+yubFOJQ1vXh8jehkYg0oSlFfhdm/eodNuI0zgsc7DUxkfwqqcYmoQ0VATzLVOFxUYlZGlmeMBVjM4uIsmwaQp2x/+DN78Ky6ujpAtyfqgT5a16fQtFAXT4Yjjly95fX7Mj376IbcPb2Bb+1xMJWW5BCEoFzM6Gx16aUaCpFwuIU2plgWT0Yzj0wsWBkbTBfc/vMH+YINqsWRRLFjOCr7+6hFPnjzj8IMb/Mmf/RRjM6SwaAzbB4d89c2XpL1tDBkVyle7XoUW3x+/2yMYH8N+dz8aYDto0LYGAP7PlXPD39ehYbzN9Z8NvlL/br0R3cbfY4SRv60XCWDrFERTs9T6Lf4DyEhEEPjt434bhq9+u3rK27PwH0LVK/MpVn8GIBbCqi3O+aIwtBPLekuz1YG1lqUldV1kOILdd48laCr1343fG4g9YnMPjo0H+E2gb6yNbXftCrFck9YBTwsQQpKEEOXG2SHC1NUiMrHdVQBk1usWUbI2acb4aFcTwDCRpsIT6ljCejyxun3jvjXd1lCxsdwrcrCeIy8zgz7i/9cNkB+iILQH+27eBMK4tEWnOxmUFT4yUnoTttMBQm0cQ+hM5aI9373GzTWoZW74OHiyw9xKjEv1kA393DpjROVlU4zeCDpAAIRe77LimrnoHVsm6Eg11X27xz+c6TX4uOirEcirdHb90aJ5niDWUqr1FF9gEkiMxZgKYzVJItjZXePl2QXFcky7k2GEcYW1gVxUpHaBNQvQFYaEdruFSiSJNdjlFXl1xWAtRSqLLgxXF5eMh1csC0OW52xurpMkGePRmMV8QZ4lLrLV+midJCFRycrrGev01b/51Tc8efaCv/jjn1BZSzGb8+rNKa+PLxiP51iDK4jXFjG6NcsSSlOxvb1Dt9P19F+nycS5thYbao0FSrFgtaNZIyxZu42xlmWpka0eva1DCtlB5IbO7m3mZ18zPz8Go2l3ulQGZJKRZwmL6Ywv//4XXE1mvPfBR6zduI3JO5ycnrJcuu4/VVkhBGxsrtFq90nTDCsSSmsZDkc8fviIoiho5Sl3bn/E+trAG2E046tLvv7tbzk/ecP2zh7bn/0+ZbZNla6BTUhaXSaXpwwKTaeVIYzBaOOceN9yfHd7PZ87CrHcHBGkegkVPe4NASz9ScFiZj1RioYADgZL4f8wwjFOFZfLxgcp/38uNW2pqRBkaJSEhRYevLjNHqzsUgTbkjdE4CpS6gi5aIQxB24n/Ls24QQrf7k+1/UnsgEcGreIoMG9TOMcYWNeftNdb2kaFsKn/t+Q0hAmMsxjc12jjhMApLtOCegJzXZe0MoMqXKh5ZkMYeWhkm24HqIF1itGiXBee+0Zvu9q5sLAApcTTlhJIchSRzeVsVTaxo1vAojVwgte3bAHuV+MEFC5QnMaJ4BdWx2BaEjVVIUCcV5gBWMCxLz3IESlcDlwQrpCNUo55mgMLH3unRINZmzdu1ZBUBjvbfcMJ0Z/WOlTHYyLSvFCZiU/TxBrQjhS8ABbeMumMbWV3J8lpaDSTmGotPWefBvzAFXiWuNIIaJRIBMWlcRYBIyFUZVRmJREaFL//1IoFKG4jmrQWyi116CrQG9NEpOQoumoinZiyFTtYUiAltJI4VIMKispSUioOwM4AC/9KN2hojCvK/+6okRhBwRTwP+Pvf/6li3J7zuxT8Q26TOPP9e7uuXbdxMNAj3EgOSMSC0tzYO09C/on9PjSA9cmiURmAEIEt0Aurv89eb4c9LbvSNCD2F2ZN5T1Rwsqp9qV52bmdvEDvuz398vImi/cbslRKvPW/P9CvfClTca+Lns3+at5D6JURAIgSQx5G7IbaiFQAiLIvEeA5HkLEaSWm1KnmmEqDOWGWp6TG370BlSdDA2FNM+ne0O+zs9/vNvvuLGX/778P7x26/otTT7+3uMz885O3rL2zfP2T3YodNoYGqSRl6nf3bG01dnXIgaB3sSWQrI26ymx7wZTdm++5Ck3UTWa+jZjKu3x7R6PV68fMPpaErvYJ/R6SVfP3/N3Gj+p3//54xO+3wxGDM1S3706WO69ToLafNqzOZTbr33gVP6wWiBj39Da7tetbG7ByAopffwuHFyMM/W/g2WXyo6WcLKwNbebdDO+JY30UvDZDyiebhFs7OLLhV6uWI1m3H86g1n40t+8NMPuHvzLkannF7OefHmJYvVgNVij2arhZosmbWhU2sgCsN0NKZYlbx+ccTTo2Nu/fhPSUY1tnamqKJkOp5yenXJcrZgshjx3/37P+X2wV1EmXI5KlnpHKUEKs3Y3j5gMp9TrzdQBgpvZfz++KMdXiZYV03FxvXNb/aIefSmOOR5/JpwLdave6XLK2jWg2i3SZWe5xLRFm2NnMbJNmhv7BSVcuVVhqAcVNeurag//c75azSSb22pfXMQ5NZuMdc8s3n9mvr8oTq6RibYPdobiaJb02zXDK3MGkJDx4qqfpsKvb3ihHbfcSK+FslhTqCJPfKxcqyNjbFf9+qbqIkmFFRt32XHyG+LmxMGLjwSy4zaPxtOxkqkU0iit2ntu8CFu61NxErmjJXyuJ2h5lE3+rHYbFbca76//O4FxvVP8NybKsxBaxPmt3GZcYOjzPhQUqv0SzSJkMERp7FhcgoRzik3pnFGfd+p671DMMhb+d7xeYcOSYUml9ruqODkBm1sDqDSeNlVUDrTnDc0+J17wl88oDEN8LdtXHpn6m4UFT6FeOc1166bNXq2/u647BCO4WTOVAgSJZkZRVkUJGlKI0vY6jWYjS/ZOdylMFZnQkBNFGRiCYl1EkkMWSpJhEIaRVHMaCQFidSgFdPRiEF/RJrltLs1sixBSsl8tuTrr5/TbjW4dWPPGtGUQpUFWZrZhHNuPhhjKEvFcqX4/OtnFApKJNP5ksVySbfbpdlsIzFs91o0mk10ami2mpSzFbV6xnJWsrN7gExSjFKVAc54BKbTUxUResF+KKNdLL+VJxMXap43u+TdXeYmwcg6pr7FZDrHrBZ0t3bJG02ETMmkYDUd8/yzzxmPxnzwwx/SvnGbZZKijebVy9cs5wuM0RSqIJGSPM2s7qMUZVFyfnbKk2++AeDg4JBVqcnS1PaZUoyHfV48+YY0Sfj5n/6KeneXpc4YFw10UkeIhFrNOpim0wXNunVIaG0oqpijd47vjtEXfgJbLc4t55BMy0PzhakslQhRKbvOuym8/uSe8cDdsMa8RcYL1tjFmjpCnxhBLhQ1qUmFsjGvwkN1JEtl9+AWQjnouS3YGOt1WhcNNDIoOI4Cm6q+Xgk3vv2mWn7vGNJFFYe6Llg4OL9XNVznRMWtTcCg/G/SOveQoYLje8XfH17c1Kby8nuFTQhDL9FsZws6mXJKCvg408qDbB/ysWcrlx0/kS5BnnBEU4vIe23hyI1ckjplSGu780BsCS6UQSsdkt1p3H2e8eLniAEhkMYp2EbZrP8CkkQ6xW8dxIUzVAgX9+0zwhpjUNqRciEAiXRrQNnMkZboeDwZIKR0DMT2kWV0IronpGZzBggQRrv1oa0hIcwcB7Fzk0YTGRGw7/Y5AErjjCHKzkffOqU1pdIhHq5woQ92LmqbZ8CFiBggkZrUETZ7v0W1CFmC0SFTbkNYMF1BQomPc6wmtmeaKQqEpApBMfaqMORC080K6qkmk9ptu2hnXhpyPQikURgtfKo2HGu1LXRrX7kdWzVECrpnZPYz8RkcgmHOJ8qryqtge25vYXzqGR8MJEL7qlwgwiEIPCOuRItECuexdZ474emIDnPGCEnS6LGcnFDbeYxIUvJGj8X8klpSIkXi5olBSEPearDXvM3Xv/s10+mEVBVkNTf3yyE37+3RPz5hfPaW8fCCm3f2ePjgMf2LETITzEYTnn3zms9fvOH2e49p11Ma/SlaF1zpnI9++iMe3HuAmY4ss283ufv4EcvRjJu3D6g/3EeMJ7x4fUy90+BffPIB0/MRvxss6N28xY8/+YTxqwvu3jjg7XJJsSxYGE291WVValA4w503kjjaZzxEsqKFSth7hAFVwnQ8htRAWdC9cZ+8tmVNIEZgRM5kaWlBXs9J04zlvGBVwHAwZFTM+PTHH3Owd5Mk7zK+GHI1M1ydnTPRZ9Sbn9Jp1sFA/3JM0ZyCgsHlmKdPXvP65ISdu3dodA548+xr7tyqMewvGFz0eXVyzHufPuLDTx5TbzZIdcZgNGKySqHbApNghCStt5nOFtSaIBSBT3x//PGOYGCrzrCeTM9L4SY6bfwp1lVB/4SJnwxKHVjDnuf9gR7hjZA2lCx1in48FbQR1qNkl4z1ejp4sBd6Yt2vEgcsD4xn1Tt62bu98o5R4tvvpGptJGvE/Wn4ljKM+a+c7l6sX3+vEBbh1kgU7UzRzuy2eWmkGrshwnuavbwY1L1IRvqufqmcB9V9Xrn3fyp49r0s4pVlDwX2banaEP4VwhmZ4/ni3xOhA5wQ6qvtu9x7hHV83tVVCyvPeJRI3JGx48znJ4g98r6fPW/1io9vh4hyQsWWgfBubSKF38odISbf8Xjt7zeEpMKxsmX1A6eM2x5xc1oE9J5AhF1uJNarr11VrxtXJ427PD/WtZM4Pu7DQFKhbT4igYM/uzZJqwNYVC8OM+h32PGo4KqTY1ISPPdryAyoQhJZe3oN+ePPi6j/w59bH+G1Ym08qtNm7d5KNhKVTJLYs9bokSKlRBu3Axia3a0uL08uSaWyobOOiEmjSE1pE0knKYlKqGWpTdaIRktjE+sZTVEUFGVJq7tFs922Bn5dsJivePXqDf2rPjcOdsnSFEyJ0QpTFjSbHWSaRi0vKQuF1pr37t8hr9dJBIwnc7IsY3dn2ynD5zSbDaSU1HLJ4eEBxWmfsrSy5tb2NlorhzTxCfcqg5Nf99ovQVwuOT9HdcmqLKy/SQganS1qrR6llixMgk7bqCSnluc0Wm3SWo1EQjGb8frpE1arFZ/89Mds377LYFGyWCyR9ZSLyysajQZpmjo1LUVIq3CoYsGbly/47W9/j5QJt+7eQ2nDdDajXs+YzTIm4yEnR29ptNo8fPiIvNWlMAnlSiJNTpLWAEkiBM16nel0xtZW24U0x7lF3j2+U9H3087SFwuJTjxhcZPYL2p/p4mvY4XYyuvtLDue0RmsV91Z56Sb0JXQb5+yDNV67K3y57ZjkRbmn8uVhZEap/C7VWEhw5ISgTKJsygGv3lgL04fqxTGsNzWI4c8tN1QwXU2jMqh5DVm7W/yvNJR9rWYOeFqEllwN/mqf9YTV6t2iEB4JIa60CEuqik1vWxBIy1dFnqC8QOsMiMkjul5+LXLU+AUV6uY2+cKbZivrFXMJ3bJpSU2HupVaoXSNvO+wBZgNChZweWUsXA5z9TxAo5xcTQAWtpkftISNp8UxvaJdIwJlFGWgVExKAuvt/gTaYSVrxCgrZnJxu+vj5JHKVgruq2bjpLteCs3eMXGrotM2lAIzyylAByhLZVLQIdDTWgRlExthE1QqOyfCcQKNKVT8L2xwTiGa2ffCigKO//trHGea2OTvuGYXUOuUNrOEsvcJJm0PmajfTiCphQSYyRCGBooGsmKFBXaqY1w6Bc7tzOpSYQF49lqG4s7dJ0ghUWAoAVl5LWwwosGn4AOKpgd6+vO52JIRLX/sb8qQx8SMXuHS5GVRx98tmEXJuIWYNiURFQIAs88/ezym+NpZ4GTroYW0eMEPGMQtS7lyZfU9RKZNOjs3WT46h8BRSJDqkHAJph8+dUTCin56c9/hMmTYFh6+Og+86vPqJslLKfcvLXP9o2brFQGLUOxXHBydsmL0zP+9a9+Qp41aElIRIFQK+YlyHLFfDGh22kjJxMwJcPJlC++ecrlcsHdu7c5fv2GGw92uXfrPoOrEU/fnnNR1vnzjz6EVcnZaMxf/OWf8B/+6r9QFgVGSpQSTBbWtaO1Ny5VQogxhPAMHy5TCUpgViuK2QCpLNy9tX8bI+soF8lq8g6TRZ3CwP1Oh3JZsFisOD+/YDYfc/OjR9y98xAp60yHM47Ohsy3Dxn0n9C5nbHdatNq1CDJIDVoU7AslsyGM1ZiyV/82z+l2TpgMNcMz99yft5FTFYsyykf//Aht+7dpy07lOWC5XzBbDhlmm9TkzWkSDEipdHb5vizz2js7CNFzYbDfMd2Nt8f/+2POEEbUBnwAhmvuHUk9q0d8bnY6BiuexoQCfXeY2+dCCZkNpfC7j/u6ZHnAS74CS0CVSJ4omM5aLNC33FsygL/3GPtdde825+6tlqWTa+dD/eLjRuplE2bBd7C85uJ/ctDuJQIskfow0iGjCUwExkbYqV/Xdja+Lpe2PX94Mt241ch8t4dGO+ZXX+Lp4dR3VzdQ/VMJStaOhkp81jeq00EA4+Uy5BZ25Xrw/xMeFdldLBwbhPCST2q0Zbr6XL1HMHhEiv0es2bbx0n1dhYJUqs/fbGEePbGvcZXlat8uMExV94OL+TayNpu3re3pEIiwuQzpAfVHXhE9863u+mSYwitIkJbe/7BILeMIHwdznZ3XvdRPT+SD7w4yP8MDllRrBxjkq+CT66NSOBqCZLcE6a8BKx9lzVG8LzVq8QCGNpjQGZ1ShK6x3WGNrNOqvZBL2ck9VqbgLZZM3SaEplIekpNWqZJBMFghWyliCXCVrbMM6s3qImJWnqt4xb8ub1EcvFnE8+eo+D/W2XgE9jVIkuVvTabZIkpVQuQZ82LJcLhqMpShVgMsbjCQZJq91Bazg+PmM6mTojlZWy7925QX+8YDQeY/IWzVaLoiwxLveXX+d+W/eq793ME9KG0Rirw5bLJYv5jCTLEElCrdW1uyaZhKJMIOmga9uI1RCZZaSJpFxMuTh+Q5rAh59+QnurR1GWTCdjliahWW8znsw4uHGTeq2BTCV2G22DKWacHr3g9dOvuHV4wOGd+yBTBqMJF5cDABaLGZfnJ2xvb/Hg0SNqjSZGQJYKZitNvdEmyerWaGwMrWad8XTKfLag3c6t8fGfq+gbR6RFWMSC4HV0hCtkq3bXK8a2McHDIvbqQrWQrJJvkKay0Nln7eLORQXJT6TzGnrNDG0teC7je2ncgGq7iBUCYxL33YvwhBoK/AI2GKGtYhgID6x7zz1h8GtuPfbGU7hqnZtAEPC3RN/X5BOIFNlICIGKREb9ZQLB8OKOoCY03XTJCoMgoZsWtLOS3AEYbDZ8+4QykDhXnNbVyPht27WD44Iz3hibbEY64m7HwhsHLCGWyKBQJdIyMRufbJVVI9yen8Z6/LWp+taPhzHWq07i50w1t/x7vfVYG+0s27ZSPi64SvJnYTxa2Wy4AjDaoIS0Crjw2BJPgAVB43eHcsq+UjapIFimpnCxUZl9l3brRDtu7oHwECmmQrv2uTKch9TGN7tyIsZrsH1baBcy4eulnC/bza3UeZsQlWdCa5wQaqGjyhspsMFLuSytwm8kGVbZt8LYioYs8RvyGQd7k47ZGUBIgTKalXKGGFPt1+tZq4/J08hQT4TAkFm4t/GeMaiYZmxkqua/pxXxNksRRXJERjtUTCT5eaFwgzn6mVKtMvceN2ds9Vz8IRUSJRZB/JJP8i5ZXmc8OqGz/YB6bw8zmVCUc7I080QEaTSz8xfMyzkffPABx8OURtoMbTHlkt29HtkyQ8+a9La6LJcFw8kYIeD87SmX/Uv+8l//EjFb8ra/IF2Oac2nUBSMi5zmsmBwfkyyu08tyZhfDTh//RpmC85fnfL4g1scPr5Dr9vj8vSCJ89P+OzVJYusx3I64fXphNFiRqNTZ7fX4fVoTN7u0mj3KAsd8qpYoVNH4+3HwFEkHwLlOqmcjFhO+yhtkGlCtnMLIzK0cUnt8ozmjQ8Yv/kGYTSr+ZJ5f8RsfMnWnV3u33kAJmHcv+TqdMTrok5v9z3m8//En/7gY3rNGlIZCrVCl4pnT15zPD7ng08e829+/AhTJlyNNG+fvmSxuOLybEmnXueDTz/gcGuPRCVovWQ5XXDRHzAWknTrNkI2UEgXtiHZv3GLwcUZ2/t3yNA0khJo8f3xxznW/c2bCpc/vAlq8+EN7cOfDsIyYS1W4X8m0Cgbpua3e9P4XUSkF+aiN+pQh5i62LoFib2S56P8Phv1vkZG2OgQYk13TbxYf83aVRFf2LwvEme86GPWH3+nb6+TWaRTwhI8rNpQkyV1qciEtju1GBveIJQ1UleIqhi0LdZ+Y+KOW6/ntx1e4fb/CidICGNCfpkYLVg9KNbHIC7PxP24jjrwyACf/8Dzqri/wnavIuJCgU+6f+IXm8q54CHnsQ1DunISaQV+P28Dv4yLc/IHAcngZQZTyVYequ8QkpWn376/+l7JZgElul7tuCuByvHnOEklH0Tti1m4lSJsojmbg8t580NzTNAzrM/B8yGqfAIQjDnVuPkEyBZr4LQB+ymIlGw7ybwMYYen6teqrl5vWa9/NaQm+l5NYV8df95s3LNeSHW/MYQ4dO/0y+oNm8B6taJeb5DngkRodLmi1sjDXPFp1FdGUiJJ601qWWIRSgnoRp1ynlMa7XIj2YqVxYrxYMRg0Kdey7l1uE+aCNRqwWo+R62WFMslxaokq9edg8puraeUYlWUTKcTlosFW1tb7GxvU29ZHvr551/w5RdPaDZqJElCmqaUqxUfPLrN6cUlb89HtFs98lpOqTSQhKTa3vFp8HReVHMr0ikxMBsMmI6HJFIipaTe6iLTOkoLS4OzDqZ3l3I5QCtNMZswHw1IMezfvUej3XYoVoUqCnRiHVftTocPHr9HXsvtuhMJxWzCxdtXXLx5wYP799i+9QAtMlZFyUV/yNHZBcoYbt/Y5u79+xwcHpDX6wgBpSop5gvmM0HzoI0i8xIWrXpOp91iPJnRaNVJpF3733b8gaz71WT2xMsuC4LwqyUuwR3BkmaZpItBipO9BMhsJY8LY0iEnUwJTpgUIKRlqHVpqCWGQoBRVtG3cHKXyd0t5lLbrPrKSFZGWKudsTE5XunAtwVCuEBYZOG3r68Jiyzxe4sI73GtEpq9swKFxptSRZh8fuKxVna1yL2F03131CNWXHwSjognhFITIBeKVrIiEzbtYCMpaSWKTAJCBmsnBrRyMR2iMs3YWB/HxLxlF4KFUXjFTApwSnzqMvRJN96gyVwHl44ZSaERCQghSZ1yLo3AJMLF8Os15iCEt3ILx5AsOUZXYRLgIO2sQ+6EZ4aemPu+d/eEPhPKfXq/sntdoNqVaUxrwUoLCpWgjDcAWWNRLVE2ll/5MXNzN0Dw16FXliGaUA/1DmP1/S4Dk7UQfuHi99ZFKR8SoIBU2m0SrUBgb9HgECpVrnztwlaEsLBpvx5SoamJglyqNYEtlkgTx1wVAqVtwj/jmanzAlgEgacPzhLumSfaecVwdqsqxswbrxIEMliT3JqNPDlhnsSfxgRkUHzd1yO+dz00x4kaxgQ27zPGO7klgmiLENojonVoZIY2DaZXJzS37iHrXer1JpP+CY0b3aoexqDUivcff8DJy9cc60PukyAx5KJkfztDD1b0h1c0220GFwO++uY5O7cPEbM5k3LOz3/5M9JS8eTtFWJVUg5eUSQluoTRHO7euMFet06eSiYXF7x984p8a5u9rEWv32dnq0EzTTk/v+L4ZMA/ffmSs5Vg76DLV18+4f27B3z43l3ePHvN4U6HF2eXNG50aDY7lcvNt91YZT/MYWEt50IkhP0LjFWMRhfnaLEkTQTNTo9275BM2p0ZPGNu3n9MUnyCKocsp1Nmqyn7926wf3CAWWlm4wHnl1ecnQ54faFoPV7y6NP7fPDgIeWyQOuSPEuYDKYsdcEPPv2AvZ19clnn6qrPaCYYXo0p1YJOd5+ffvoJW+0eeZqxmi2YTMeMBiOOTi45p8H9+7tgbOiKduEj9Xab2eUITEHqEG7fH3+8IxHr5jYdVlfg1njje+xo8AoJEV2Ln4pJizfKSmHlkkQYUhkp9k74rvZ1957pSOlx5WtT4a0idS7Uf5OobRoMrj0iBeId6WNDEVgvqToTP/fODBbvfhc4xTC6O4QRuhK9QibA5VTSNgRM2CRpubRhXqmDXmtjkWxg0FJYQ7x4ty1mbaQqXhSMskF6Wm9T/OkITQjfwBkatKgSPJp33kUVghpVyCtYcV+EnXjCbyq5wz9pvJzn6+mVj9gR5GXU2LNdvT9GElo5QYSaORSyi1HHhV36uSyi4t2cdBWOdxLyDpLqnKXxlZLvIe/RXHfoPN+JoUXBBR3nMhFhYGJHnzW4uFXrOyvqJ0EF2V8D3G+sBYtYrYwGFvHpknXH69NEb/Dr2f+5qjuOjzf8h3Ni/bnQr9GC21zBgvjaxpoX794dGwhN/DDrfWMMCMeXjbRSS5pmCJkwmc5ottvkaUKep4wGV+y360gpkaZE6BKlNbPFisXchvklAoRx2pKUaJGwWBVkes50PGE+nVEUKxCCZqtNq9UgFTDtXzEfDdGrAqMKu12tyEjSnLIsUUWJ1iWqKCjLkvlsTrtV5+aNAzq9HqtC8eTJUz7/7CvGkynQRmtDmqbkRnG416PbqvHyeEVeq5HWapRuIfpQHEzlYAgGNiHwobtWv7Kup6uLM8rVgjTPSLKcZqtDIoxFImgNaR3Zu48eXbCYHZHP5+hiRae3RdZo2W2qtWI5nzMeDpmKnCJv8cHHH3L33l07XKpgORlwcfSK/sUFe4e3OLh9j4WWzBdLSgVvj08Zj2f85Cc/4vH7d2k2cmc4MiilwCx59fQJU7XFg/2f2DB0AUJIskSwv93h1dEp0+mMbrvBd+j5/zXQ/WpyeVKnvcIh/DJ2HknHVB24vbrHETkLq/cgWFuWwJAaRS4Unj7k0sHjBNQkNr4Vg0htDRS4rM+CQgvrbcU4Rcx67rXxS9Vt8SFEBZdyrdKCEHoQ2MiacO/OCxwE27fMr+uYpVQ3B8gUEcEASzTWtFqvz9h3BcQAQZYO5Qd2FhFCAdQw1MWKXBRkQmOEJsN6c304gDEaKaRjIM6u7bRBgXZ1dUzT6VgeCuMtuNYAY0MmJAIhjTXG4JRFEalVAus515HCJHVgtgkGEki0JE2kTTTnYuaEECQOamPcvDEuxtwzTsB58z1jsn3ioVi+d+yuEIHrhr4M3l1XIYvq8L+FY0SAFBQaCiWY6QwLELPvSLHeikIAqXLmJBGsv2EQfRgAnlEacIq8rZYTBLXPlWAw6KB8BsicZ6TGbQ9IFaeXIPCQePveaicKK8w4wJxIAqORBlJpzRbKpcNLhSZBYQ0pbq0Zr54bjLAJFROXJ8NC4k3YcUA773/ITwBISvduiTGKYHGVCTYcSJJIHTwrFcIiEs69EcXNWM90K0HfrRFhczxUXueKQXsBzaytQ7/GrVEtxD0iLWTfVNcIwmCY4oAgFSkm72LGx5SqJE8zWt2bDI6esXP4AQIZDAfbhzcYHf2ab5485cYnhzZhoYCtdIKZnPHqyTd0Whmj+Zgnn33JEkVTHDAs5nz00XtIo3nx+g1Xs4IOGr2YY6RkulTMdBODYTabMxsPmY0ndNptFsuC3/6Xf2Tr0SG9Wp3B6RXPj855+uKELBd00gZJIrl3+xaffPQ+/eNzGp0m+9vb9Fpn9DpdajKtDFhGurVnYX8+F4dGYJIU4TJm2m1k7BY+w4sjfJ4SZEqt2Q05O4Ja1mhR23nIcvIb5ssFsl6j29tGzVfMlzP6532+efWWy8WcW3cf00w0P/75J9SQXJ2dUwjNxckptVbGD378Ae32FmqhGF0NODu9oOjdRBnNBx8/4keffECv0UEoWC7nTCYjZvMF//RfvuR3p0c8/Jf/CiFzhLE7PVgFBZI6DGZz0nJMkre/1/P/yIdlhzEPrfilZb1i/Waz8f0deXldQfSfQhib80RoUqmsE0LoEJcdH5WCb+uivXPDeKVi3ftavXujXcCGLv2/7/gOIW/zBi/TfNe7PH+Mb1nXSWJlrPr0HvxMlOTCrx2X90UYZyyuBHPrcTUIXUGjvRy4pk2Fd4rqtDOy+N+bih9rnx4xGMlirjy/5b3RUZJYU/EMvFwUfnve7Rw/nueFa5G33c0zy/eqmjl5vqKLcVNFXO/gbnNKtk9ALINDQ1B58JVx4W6GKI9A3CtOInVy09qfDi+tzrnKKCd7WPnDzemobpUXvlK049UVD2O8G4DnpxG3Xxtv6633yr4hyAFi/a4g5kWFWJSCCyulCg8InexrKQh/AcDvz0XfIdquN2rD2pfNKbt2iI01FD28RiBEmAPv4ky8fmDPelSdMFbGKo0gqzcZDa/YP9gjkZLtrS0G/SGHd+/YcFhlw6C10hSlZr4syOsl3oyidIkqS8vj5zOGg1OO3xyhjeDGzRv0treo1y1acXB2xsXr16Roallm66sVMrOJ45ZFiS4L0Mrm6krsdnu7O9u0Wg1m0wnffP2Mp8+eI4Wg1+3Q7XXobe/S7vYoVUGt0WB/ZwujX7N3cECW16LQ1goJvLbmfBiMd2Aa60xKUVycniIwJIkkTRPyegMhU2zuDUBIRHMH3b3D4ugt0szIm01qzQZgKBZzRsM+V1d9jgZTaO+yV29w++4uRhjmsymzwTnT/jm1VPDoo49odrdtUsjxnNWqpDQSkeb86Mc/4KOPP6ReS2wSa1OiVcFyPuPZN1/x6//yOz76xb+n0Clor3dJEiloZTk7nRaDwYB2ox5ydF13fLdHP9IrpaiIZeKEam+xXrc/euHNLmjvlRYmSs7hcuuHBSts4rDUZRJPhXD7O65PcL/MvfewVJLCiAA/8YdyVkaDTcKQuieVz5TsFTlEpYg55U/7xU3lGcXY7KDBOumViVgZ8TiHQFQ9LbAE3vi+iNrjDSDfPgBOlDEG4XIL+MRovj8lirpYIt32NAmQOW+EMTacAQGl0BEndONmPJMULhDfMwETtatiDtItHh3HJEptJ2AYI8sttCYsQt9phphA+T5y+3gGdci+UjnKbYx2GfXdnutuRWunCPtVroxDWniLs4k9LQ5dItY9JsLFxvmXShlUYhACU1pD0koZSuHeJxI3DiULZctSRpDIpIIHCTcXjK+gT1Ao0CYJFnL/XuHWh01eZtmfdn3gYXK2z2xpKqBk7Ps1Omwn6MdKGVAiwRibQC8VipSSNBisChKsV6x0oS0JOuoPy9iFMDYxX/jtp5Guxjh6r70iLKH1YonzoFghywJbjcuXoKSsEjUa0BQkRrpQCw+djVAevuXCC0pQpTWKBQBrWPRoBh+z6AmaT+yFY254OkUQWwhGIx/W4eeNn7uuNUl3n+LN5xRKkcqcvHfA8s3vWK0W5HkTBWR6xfzqLc+fP+Mnf/JTVP2ApQEhFGJ2yunrZxzevMHk7UuO3rxk68Y2j+4/ZNAfc+fBfcTKcHR6xOdfvybZ2mVLTxCzBXMFc1Iadw9I8zqteg01H1G/0WJ8ZTPl7j9+wHuP9rk4Puf3v/+a2naXX/3pDzh6ccRnFzO6vTp//q/+nHqhUEtFe2uL1VgxKjTv/eynHNYWKDNjaWoBfWJzV/jsydb4K0US+szOCYlaKhaTPkqW5LUMXS5hNUabG85ogOt/SU22WfQnlOmSvcMDJIZZf8RwPOXp01eM9YqPHtymfvuApLdFO8lYTC8pyyVKFRze2OXmrZukCMqVZjGdMhqOWaSSRnsb5Et+/MMP6NTbCAPL1ZzRYMLbo2PevDrhfDrkvcd32Nu9QSokeeJg2tJ7eAX3797g+dvX3Hn4PlX60++PP8YRtvgUHqopIo99tWYhsO0g9PvV60nyOyKRWVcUBcIl9ayQTIG+866HUCMiR4M3etq8KJbqOapiKjlm4/Xhn5jWhDdeI8OtqRomPhkrA9cLf/628K5NRSP6FgBVjh9sluFDDiRO0UeTYeOAMzwygoCDDG3TxnEW1srF85jIoRSPYIXMqz5F9BmfiwfehE87aSoeWvGw6h4PV/eGzAp958ffd5sPQawMxZUC5j3vAdlq/FutHLOmdrp/BB5+XvmvqzK84V14lmX7XjhPvnbefB0lqGXzqOqP58uhbcYvKHfZyq9xDH0wYoWWVHIx3rgQTT1RXdqsxjV1M+vjRixZVGu+uigiJd/xc+M/HerYfQ/iLJW8GkhKNF8qj/7G96g+bH6/fplFrd9cVRt3uUbF20NuYoB8C9fKENUatQG+CbVmi4uTI1bLgmarztZWl+NvXqFWhiS1DjpTlpSrBfVmE5E1SFpdEBpjClAl5WqOXk6YDoeM+wO6vR57B4d0t7ZIEolRisvTE948e06iS5qdlg2AUCVloZG1zBqmlEvOp0owym5HXM8pyhVHb98wGk4Yj6c8fHCXwsHZ791/wO7N29QaTVJVkKY1Hj96wNlwwS9+8dOQ+NvLwd55ZteHS3iKle9l1IsGUMs5s8EFqbDPSCRSpm49aqcTaUgzdOeAuWzTMDPSLMNgWC0mXJydc3Z6hqk1qW9t0715h95OjySVzBdT9GIGKPZuHtJotklrdYxIUYsVs/mc+aqg1upy9/499nZ3qNWcgUQpppMhZ8dvOD16y5s3pxzcfszB3Q/RooEUCW5LO+wa1nRaTfqXV+jlkqRR/7ZJ+Ae218Nbz2xstpSeqFgCXWjpMv1Z+Lj2VMdUs69aCBIPtvNWKg+XNbh4Z2kCjBfh9mmOFopnmiAptWWiymA9+FZNsWWLypvniavAQbuFf2elGIUtu6LFY5yiUmXJrbyAIaYuNkEHQWN9gVZM27hyKjbsP7xAEmBLMWN1xXuoWazo+F7UgmgrMvtXGhmEcru9nAlJ+Ox9FTEXwivEFZ4geNPdu4V7qRAWvi8DjIRg5fTjVgEn1+UHY6yHGqjCA7RV1CoLcvVujLeuV1Y7HYh1xWCVERVk3GDRBc76HIt+2thkf/ixDHV32/EpEyXpswpMqZ1irVcIoUAk1v8tFBrFwghWJQgpQaYh7t+X4Ge5n4/Se+yJwklUtdGM9yD4dnkWIWz8g2UEwbMko2lkES1+twftBqdiUCJkoteBZds1kLjshMKt3dBjsjI8+K0oDYQwAl/HIJCF2SNRRAzSqDB3cCMSgA/GVHsIC0EibVZRIfye7f45p5zHy8lxYhFKjQxLDh1SkcXq3cYr7r441xGp8X45v+VkJdjg6xLNZw+9TOo9KBXL2RW13h3S7h6yWFIUc2p5w3ZasaR//prHH3+IUIKLokYDidQLRDnh8Sef0H/xhNHwkjuP73H7zj0GZwOyVp1EG85PzvnyySsGkyl39/bJxjNkYsfnam6oN1qwmHM8OKeztcXi6IJXb46g0YJcUgzGPH36glvv3+bTDz/h+Mlbnr65ZKw0D3c7UJbMpnMa3TqNtAY/+SEf/eq/p1ZrsFrOGE/HmPpdlMltqJT3WgbDmkApDbICpBqtMPMZ5XJkPU1ZTq2RsphPqPectyWMmsDUtlFlTrOjyTWML69YTea8evWGIlP82c8+pkGDQa2LkoZEr5gvxjR6Ldr1nDxJkRpWqxVFUTIejjm7HGAO75DUejz+5D57vRZqtmRUrphOpzz5/TOORufsH+7yr//sUxpJl1FtDykJ8zBLhEsEBWm3Se8qx5gF9fz7+Pw/5pHKiD56dJrwikiFVnN3rPFWb9B31MzetOahryiYJQdxWSLIK55tVgq+/R4Ue7zxK1LQqOjjpoK/dlQCxD/vuMYaUElPG/dtwlE2b/RyXNVpG8qX5yomyCfem7/553dIkpHBpDIw4OQt9zOqh0e1wbttqAzOrlcd/3hHOXunS9wcCjKFh6lXXnubTb7aXaSSTXDjb6j4QnUtVoCD9z0YdmRQ4mL5JvShb5Q/c42i7wVPm2fH9797wiX6rbz5G4q+iO+O+9j3ialCGzY/qXh/zOs9nV9TYEXc71XQnvDCBlG9v22e+zqvSRWutPCgqZRjEUvgRIJ/Jf/E0zfIBGtzyP7Fu/dYtKoI74nbdO2acHqHvVbVb036EFXLRPTFmKgM3wRHt6olIaIxqUoO9MWF0WV5A21gMpnS6TTpddqM+gOmowndXh0pNKZcoYoCg6RQBXlulU1UiVErKGfo5YRanrJ9/wHNTtuGBWAoVyuuzs44fvWKZr1Gp7WNLlYsZ3NUUbAoNZ2dJtpm+galUWUBukRIQZplTKcTjIGd3R0evf8+Uib81V//J47Prnj4+CPStIaN+dWYJOfeo/fZu/8J7cMHKK1QQtlt1QO6xPaGz6vkD+061xibfLxYTikW40CDhBTOaaxRwgZ6Y4zNE1Xvssq6KDUGKdHFgqvTM06PjpD1Brt377LKW9S7PdLMblpdFIp6LaPV2yPPJIgEI1M7HrMZZ5cDGu0tkjSn1+3SbFgF3qgFl+dnfPXZb5lPRuzt3+Bf/OrHyOYtTH3HKd8V+thgndi1NCOTArVckjSyd5aSP/5gjH4mDA1paCaaemr3FVJGMFeCaSlZGJvQq4rFMWGhesVVmDWfm/3fL0Q3kUugKBMrYGEza/rJ7y2YylRCvTbCGhrs8qwGFRGYT5XlUwRyJYy03qeYf0WrLjB0nPLs4z3cInQtWuOLa4QomL/dufBdhCcrAcLEDzv4TbjVeVxtfZRwioURFjJvbIISAxSk1LDQplRagUcYW14mNVkmSJKkIjfG7XGP3drNa8+xoUNGdaziwUxQiqSDufhtyeKe8DD4NVHJeIibdpC9ykKucd5BfF3inqoEKlf5NS+yVzK0ER48bxe/Dio2wkHGjYvVsgxDuDGOxlYASIzddwNNauHgeCXSICgD4VBConw8shIYk4DM3fNeYTT4rSntbyeSOoVdG0BIi5Yw1jPq4w+9IGpkCsKOX4IhMQGI6HpdIpxn3M/hBBEMIbbPfEM1xlQWH5fpwNXRIU8cAfRv8NXxE1rjwme8Em5cPD7CCd7RWo8EKulgR9ILLH6uI2xm/WTdWq99P8bEO1pfHrLnt+6DStUXrq7e6+9nkAh3e8+QZ5OCEG+LZ+c+h0NERUQk6PuZn9TJmjtcnbykvXWHrL1Nogyr+RDd2kVg0Lpke2+fulzxd7/+PfKDe9w9MDSzkp3tNtPLNwwvT+jsdtg+uMVioRjP56SNnOFowuuTK+48uM2f9Fpcno4wb69YLBf053CUb/Ow10XWm7SA8ckJWbfLrZs3uZjN2W61OHv5DR/89EMOt/fon/f54skrfvfsDfXdbaarJYPBgHl/yO5BDyE0K11S6pJisWA6HNGfTanfvIk2uTWu+vh1VDWQSqN16WL17RioxZjFrI/WmlaryWoyJWNh13wYadep9Q7DosZWLiimM6b9Ia9fvUU1Jb/65U/oNXa4POkzLHLaSrOaj8iTFEqo5XUSoCgKFosFZaE4PbnidK446NxjPtO0uwK9KpiMh4zGI84vRyz1jB/86DG3bt2hntSYTDVJmpO7LVxxwrMIAj40Gi2K5Yxmvcn3xx/vyKQ1SPo8Jx4V5hUyD8+156yR2nie6pUrL5wAFf0U0Wmr1RlhFb5SWv4iwxyoeI6XFby3VUXKnfYwZ3cNrwx+S9usYP8utPc7dKGNskT07/rpd8uIaKjxXPSah9dC0CBSpYICYh+rkihLDJnQZEKTJna7MymrrXr9Ljq+zXFgadw/4btx8eNU8uB6m4zjk8YZh6vrlgYJ1pQl949XtoOCb4xL7OXRiO7dvpM2FLKgtFezZmNuxIp+SL0XhezFqL6qKd4IjnFuNiGCvOlaxdpYV14nl6PIOuEs1xIhNLXqMy+Huu+hP4KqFO4Jz6x1nlgrL5516+vIjXPgv37cqxvWp9smas+s3yPW3+Wxd/58JRY47i6qewVVXrH1w8k63rHgZB/pfse9HZR8sfb4Ow2J5aR3D/Hut80yzOa59XJ8PfwOFF628vHCGolMc/JGi9F4wsH+DnmWkaYZ89mCrV4difOIq5LZfMrF5ZDmzqGF8+sC9BKpFtRSQ2Nnm0azjt22S7MYDzl6/ZrxoM/uzjbdTodJf8Dwss9qvkCVikKk7LZ7Vn4zKjSrLEsWizmlKtne3WV7d5dms402gn/4x8/4/OuXlFqwWBYsV0uMTDBGUBhJ3toiz5qsVMl0eIWpaWRz11EcQwi68HQUKqdbRA+W0zFqNXeGfMiSBKXsTmJGGIx068MYkjynbPYophdgSqaDS67OTqg3auw/eky2c0h/XiKEDaMpipJaltBqt6hnCULY8OKy1EwmEz7//CtGs4LHOzdsIsBaDQEsF3NOjl7y9JuvyFPBD376Czo7NzDJFoNFjUInZKKal9Jt/SyEQCYJ7WYTXRYIpfi24zsV/aYwtLOSZqZJJZQuLlo7wTfxGyS5mDa7dZpneC4W3xEIq5xU3nDvIZROfFLGegG1ckK1cQk4ArGwy9T7i8oAz69IUxzj7peIDgu2gvZLV48A9xPgSYGfNl6t84utWoeehG8sQHfVKw+xxTVWoAPBdETFxPCtmAAKr5pUW31ZQmNIjaZGiRQlBkldGpq5pJZo8lSEV2SJIEuTau9MUVksV8pQKFiuFEVpYfuJsKHTtv+94cQiK1ZKOoXOTrI8MSEhRiz4eC+ff9ZvQ2SZicCQoLTbFz5MkArj4UPW7Iq1HWaZrSPgJnpXGBP7pmr7xAQlE2uV1QpM4fbdtATRmxCkMNaA4gw/CCc8ihSS3BIaLETGGgw0GOXmDlQKvECINBopP28FSoAwCRWixMX5Cz/j/GyzqAspEqrwANxcky7HgvNqO6nRJ5NLcMafiDn6OWRMtca8QOQT7BgDpQ4iCFJYKJNwRgYdwycQCLmeQd975Y22yUOMgVRKBMohF7y3xCnjrrzErQkjTDCKhAYTGRgCosWjD6wnQ+iKkQs/PzzXc/XyRgDC+nPr0dg+rAQ0j9yp7o3wDvjDghiEj5yx59wrtEhJuzcph69YrkpqSY28uc14eE59+zECaGYNGrUGX/7un9i7vUdnr01ZlnRqMxZXJ5y9fkZeS9jeuslqtuLy8oqsljE4v+LVm7fcuneLx3fu89XvP+P0zRHd4QShNBczg3zQo9eqI1dTpqpg58YNrk6OKUrD8es3HNzZ4v1P36NRa3JxfMnnX77kd8/e0J8u6DYXzGYLXr1+zc3dbUZXA5ZZzmo44/jlCad9G7++ffcxd27WkMH44vrQoaz8nLGf0v4B5WjAcja2eyVrYyF+q6mDxLstpdzyFvUG+/d/iJj9PYPhFcPxmK2723zw/kO2tm+yGK0YTJao7X0WoyHtbsLezgENKRFGsZhOWCwWDMZj3j4/4XdPntJ++JC7jTZXr56y3b3i/CLj8uSU/nhIkhp+8Kefstc7hFKznBeMZivSnQaplFYYcIqICfMTWr0tXj77mnZvi++PP95RS8JeOHgjqTfeWjpN5FF3YU9UIU9BI9g41mDjxsoGVgmz25AqTHBIePoE1TstSajCxrxyZ1x5FXm5Rvi/Th/4jksVKoo1eHSsIQQZBM9fIi9kfLu7d8M3cX1FvCIYyyiuIJ9dPxP2L0+glkjyRJA6Jd8r+hYV6uSjDYUm5ueaKjmtMtU2t9rxm6ptVWO8Zz9WyNbGtiLyeAXJogQdF3Y5l7V2Zn1TyVIGIidENI088sN7ukXEPwLSpEKGGar56GWk2FhQyZrr/MeppK5N8f3VvQbPv7wM5riY49NVl4t3SveyaZUBf/0Q0QQS0SNrNQydbqqPNW84735f64Ho2SATRn0RDDYbdfTeBvwqEOG+2CVigvNQBIRlrASKSD7252TVEES84ER4WVUbv5ZEuBTqxDXfrzuCfvQH7qteGbt83Jkko9Fuc3V2jEwsf2532ywWMxI6iHKFWs1R5cruuJUkJGmKMCXSKNRqDGpGliWkqQaXXX5wecnZ8VsEhjt379JoNpmNJpyfXTK6GKKUZlVqst42eXsLhQDl1mSSUagZR0fHdDotDm7eIK/VGY8mfPHFE/7m737HZX9KnucMhmOGgxGdLYFIEpRSLBYF/ZMTTi8HHF/OePzT/579+4duRxzf236baJwsIt0ASof6UMxGV6jV3I5TkpIkOWVRIEy1M5eQkgRNIgT1RhPTL1gurpgMLuhs9di+fY9855BxoVkuF9RaHYw2JFLSqNfI08zt5GcoVktePH/Nl18/ZzCecef+e2RZTqkUi9mM8eCKs9MjpuM+t27f4v6D+yRpjiJlWayYzwqyTo80kYhEWlqagM8nYIBWs8ZyMQe1+tbp8p2Kfjst6eQKHOzbKO0UJE1NCpJUUBNlyO6ptKBQgoVJKLDZue36rLaGq7QD42Rzmzxv6WDHgYFhnJfTLnlpTMi6q4wj8sJ7++Ua5JkgqBN07gAPXSMRloBUCzJaLt76GC2jtcXE9QvZXpXhCU9gnN/UZRSvCJO3HHrVw/No/1yYw04htnFwilSWLljBoi2aqSFNcfGkLi5ZGGRiXLIZ+57EEbJa4jO1J/itVuxg2a3wCrcvidaCwggK5eEv0nl7lWNyzlPuIO7+MN4Thl04oDEu1EPh/pyAZgmqVR5KYedBEizmtuessu/ENzeeWlVjZg2aAkRGKXPCNoqJARKMWqJNGXnmKpiVFsYSBRKMSJEiRbgEdXafdmddNwZNYi3lGGwFysDgheubKmGLY2HSllExRl8DQSUSun7w1mQvoAjp4vCqDftCvgchKmbk5qk3NnhUhWVckQlMgM9CCpDqKM44eEQcKmBDSF1bE5HFWzsrqNKQJBKZCLdVj7bbXbq6a0AYHSznAisISZk4b/66QFqtVhHmlP/p9xyu1lwljKyx/fDDQp/MmnRcCUieSYff8XvdrwDfZJ2Ra2PIegeot79jsZiSNLZo7dzl7Pw15QM3BZdDTt4+o3uwy+72Dc6pkYuCfHnBfDZm7859kuWY8eUFZ8fHnI0nPLh/h/HlBXfu3uDenXsMLvocnQ0pzy4oliXaGCalZOvmDbZ391kML0Ev0bJOO6/x22cvKPKU+7dvUFMFR29POT4f8/Kkz5vTc5ZFSbFYcfLyDcNHt7hRdpivVuRZzrQ/5Nd/8488Pznl5ofv8/G//B8xjuJ4Kc8yRBeXL6WbZ97Ia0iFYTA8QRuFEJA2auRJDrNLpNRujVe7bghpqO/epDgtGfYvSDo1Pvj0B7SzNqOLMefHpxyXNXZ6N5m8fsJ7t7bJhKBcLSjUimK54smXz3l+fMSKko9//Jje3gPMaM7R8yekDzT9xYpiMWf/7j73b91mq7eDLGGyGHF53udymbIvc2uc8hJ9DLNCk+YZ3VaHUf8CuMH3xx/nsPyk0krDriJOWdPCK/uWv2hTrVKvvBsRdIlYS4l+mqC8qcAjRJTPxt7pi/CogjVlzlRK1+aLgswQiFcsc6z9vN4pGJf2TvGm+il8rcTaeRM/60Pb4vd4OUpE36N3+LLjVktHGVJpqElDLRXUUmEV/SRS8kWlSFmF2KwXSsXFPL+wO7kYhNIUxu7aY5flepjWt/WZiPsoui8s7eDRr+i7L7uKY/edIcLcWJP5RMXFPU8BEWDFBLpoqKbkusHIV3Kd9zhJ3nW4CTw4ngOb8qzvw0gWMw44sTae8YDahREruBu1iMac6r74raJSr6vJUt0RarYx70W4bqoXxe2Lj1DljTZH/bn5nHfqWCVfrA2lr+OaN19W1QjJN+M+f7e7187F9qv4NnPN9/U7Kxmw+h1fuUb5j2mF/+na0+1t8eblc0plyJKEbqvN+ckxj+7toGVJWcwpVivSvEarI2g0aghTWpm2mJJSWOfuYs542Kd/ecVysaLV7bK1u0OtVmM5m/P6xWvOTi6gtHmyZoXioNkhrdVQpeX7VoEWDAZDtNHsHxyQZTnDfp9vvn7G11+/YjiesVytQMB4PObi/BwwZPUapdZcXfb58qsnHJ9f0ti9R7u7gzKJ0weqNSeCnO0JjXMKiQRhSiaDC4xaIoUhy3MazQZqNSdF29wF7rEEm3NI1Bosp2PM9Ixap8P+ex+QdreZFyX9k1NGs4Kdg5vU8ow8ldRrdmtApVb0r875/Pefc3R8QV5vcf/he+wd3ASZcHF5ydHbN5hyRbOe8tEnn3B4sItIUpS2iZYvjo84HUne23uAR077ORnoKIIszSiYYvQ/06OfiJLCcU4P9zUGC2tAIqUJie78IhLSKufG2EQIGLu/ulfoBM6TKyo4jc2K7zztjthKVyaCwLwNVv2yG8gJfLSXxiMFot0wHfLAe+8q1So6REQcjA7ENKyiIFN4774niBZOnHhWJQwZVhktjIf5urYG4hRUz40j3tXbluXYb0j6hW+TsC2uocMe1dokto1CV/HrppoIPnY9c5PYJ7kDa3SoC7Ax1fb8qnRJFrV9dqUkK+W3wrGwbykcrBXQ2m0Fp0G7PgxbKzqlyvIX4fZad0xR4DzmEolNFGcTPCZh32KweRmUG/dMKAente8uFayU3eLLMtPUWiZFGgkKwlrqpbIeee282a6Xrfzm4NnOEymcRz2EhHtjjPAwbjfnvUnN9maYX9LNyUQQclskfr6Lyl8cRBrhDFrCJZ7ziAA/E4TP0RCpvqKaLx4ZYA0gfqXY+3SYvdb4JI2rlF+DHvFUnQpWfREsFtHEQrhl4N4hIDWW2FqZWCOMoFSCUlkhT6vK7+4TWyYuzFCiSZLUKvoY4i3/Yn4cM0eBRZWsM771tV2FnlTGg1jc9aK4iZ72feq9eV7s0q5eVoEQUakmjEXe6pJoTVmOEbJHbecm4uwL1HJEo9bGjM+pN2sc7O7x5M0I8XifrXxFshzTajcppyNGp2+5OD7i4mrAex/cp5hP2L17yOH+DcaXV3zx1XNGK0O6XDJalqy0oF8IxLTk9dfPma5m3L65R6PRpmhMUas5996/S10ILi7GPHl2BPUGj2/v8NU3L1Fas1yt6I8npBq+/P1XDIslu9vbjM8uEe1tfvZv/4LO4W1E5zFaZHatCEHiJrZB2vUl/Hyzn9KALArGJy+CJ6WxdYtGvY4uloAicbllqrAcyFBMp1NMI+Ojn/yIbn2P6dkZg+NjvvjqBcVP/g07RnL7Vo92nqHmc2bzIctS8+Kr5xxfveXeB7e5f+c+0qSMizpvT6+4uDxle69BvZ7x3iePubG/TzNrglIsZkuWkzn98wmz7i71WoPMMVajCfPEC+oKTXd3l8n4jO+PP97h9wq3h6WbwUi0IQn7tR5j/CJ14zuPGA0U8qgE+cFU98RlBURb5MkP5W2oIOJbahG85usKQFWDSh6xnnjBek1ieWFNkgn94z+9/vhdnRErJzGt8+f8n8TB8oVFwMhEWOU+cY4HuR777D36wjOe+H2RYitN1XOOW1ujjnZ8M1L2KzluvW/FWl/HY2IPLzMFI66J744UBQTeORUUCSC26q976B0yzogKMeE98X7Oun9jtNBa7UV8ft2jL6KxsDL5xjwTwZ3h7qmM/3G4ZSh9bVxN9H392ua9VT+x7vEOjaluXr+yOfbx6hTR8qkm6bfhaDGbd0a/RfQqL+fEawHvWLFSYNgOeHO5xg2/rg5xkzdqEuaoq0M8G4PM9U45m/Rjo6xIaPPbMfryCg15s02pNKPRiF63zcHBDs9evGA+nZI3rdM0y1OUSWG5IEsMKSsEBWlaIjNJuVhy9OIl40GfVqvN3uEBjXaHNMtZLZe8evaSt6/eIpQhkxmzxZJZoWlubVujqy5d+AgUxYrB1RUHB3vktYzRuM/bt29ZlQW37tzm2esLlqsSjWAwnHJ5OaDQhla7zaosOD49YzwvuPnej3j841/R3rnJyrhk2n6gI4Xf55ySwuefShBFwWR0ZXUTA3mtSa3RZj4eWA1ISpTRjs/Y/9IkoTDWgdbaPaCxfYBOEvpnr/ji8y/o7OzTqufU85wstfrMbD6nf3nKN199wXA05fDmLXo7B2SNNnmtzuXVgH/87We06hkfv/+Q/d0enW7TkRiDUiWL2YTT4zfUdx6T1xqUxqKOLb2KnNNCkqQpUgpMWVwzP+3xnYq+wcYtrWdEFc6CrkPWZRBhv0rlEixJAcZ4C4ON/9VUC8rH7NvztlxroTeO8NoypAG/nY5X6G2ks91CT4t4uz7vI/XKkcViyao1aBGp28YrR64mnhhABRumYjK2nvZNqdA0Zeli0gz1xDDXgmmZUIZNymy50vdAJRWERRorKNI20sFMrCIpITiVhEM1ZCgSFKWLES+NZKmssSExJij12rjyTOBRoR3WOgRIgXHe+lJrq9wXdu/2ldsir1AGZQxCazQaraCU1tBjDTdeyPHUU1uvv02Tb/d/dKgLz0z9HAAb05e6csBgwrhYqLgUgmZqaGUghK2jMpJCCzJnkEhk1U/KKIQ0TJVkqRJMkiJlHWFSa7EMWQCNow8SIe3+3wgb7+735TBBgrSkVOKFOe2QCjJCZVjl0I+7MiYgKEw05wMvDszbuLIqqF0wChhjDSBUhrIwDUXFAK03yff/OhuvAGzV9IsWtBNSq9Aaj6gJRjOIQm2i9/oYBmEfCsl8hFXkLX7JvkUHodQtsESSp9LmwZCVl9+XbaPjbXvWDIOujTYHhSfqUZuE75FY5qt6w7g1IBFhHVTXKu++xKwJZEJotz90yLJQ9aAAWW9Rr3dZDU9RvTskzS61JGM+OqN90MakNbZ3Dnj5/AnPT+Z8+HjJTjJjd6uJWijO37zg9M1LZCPnxz/7GFTCUC7Y3dnl8u0Rby+GfPHiNRJBPltwtVAoA+NOi//jn/6YnVYPvZxiVku++Mff8eT5a5Z5zke9Dq+evOB8OuP2nR32tnr8/jdPGE7m1LKMy/6Y9t42X3z2NZdH5+zevGFj7RZLdt7/JR//+f+FVCS+F/CKk/RMVbi1jjedEITlYjhgsRxQ6AKN4PC9H9JdDnjz4jO2fjQjS+oe4e9IooH5FDLD/fuPSFXCZDRmOBjy+eff8B9/94SP7/yI7o8EN/IW5XzCdNJnOh5xfHzOuJzyy3/1L9htb1MuJZcXAybUOXv1msHohLT9MT/45BP2m1279Z+L55/P5vRHM0bzJeluzW4nGLbusW32MHFLRwVJnpNdAwP//vj/3xH7OwHLv7G0KUy8QK8jemM2n18vyfPFSrUhaAZhPouK1tlzsSAeqhOej6jDukT/3Q1cu+Vaz6rn2zj+EIq24QX+PZZmuSsedeCrIipl850ZLJzsE8kqa6TVvwsfFevj86terfZld0lWXbKk8HxQuMxaBXxgRnjeEHb4KNwWvAG+H+pfdayv6Zqi5mWsDYOCia7Zh0xQAoNEFn8PJZugGAonz/pbqlAR54Dy0H3jEusaj2ojJLS1235FtHONmXl2XiH3vKzhPc8itCOe89UYVSEnbqxCu+JWVfYKET+/dp+I/l3vkfU71o+gVF93h1kbJDv3/J3GK7NUE5fN+eoRDiYuorpHRH0kRDTmBBnT5+wRsnII2H4L5otgEAjVZuMF/5VHNVa+rRvlXVeWm4MVq/GzxFTT16zdjgaSNKfZ7HBx2afdadPqtGm0WizmC/Y6dUwqWEnNcNhnNpsjjN1CVLhQm2I54e3zbyiWBXcevk+r20FIiSoLxsMhL5485c2zV6A0jVqD+bLkcjjD1Ou0t7YpfdZtActixfGbN2it6XQ6zKZjRuMR9UadT++9x4uX58wXSxuisyp5/uYYjaHeqNHt9mg0M5al5tHHP+TBj/8C2TzAyJQMYZHmBoumdVQprEtwxEYiZcJqMmAx7gOWpjR7u6R5xvDsBFMuSRodtHKJuYUkNRb1XG81yet71DpbGAEX5yf8+u9/zenJBXcfvU+71SLPcwSG5WLG1flbTo5eU6vlfPrDh9RbexhSSm0QScbZ+SUnp5f85a/+BXfv3CTPbNy9MQqtSnSxYNi/YD6bceuj2xRaOpptgswr3VTwMkqapmD+2R59t72M1MEbq42wHl7fwW7CltrGR/iENN5qW1k5/USvBEXr7dbvEAtvQbVxRjosSK+EKCRG+uu+YBEISkXu/Jsr2LNn4NLYBHfGd5qo6miNRJZsS1PF+ftkOTWh6SYrGknp9hN3r1IgUax0wlJLCpM5pcKgArJAOLpk3E4JNizB7hug8KEMMrQ1se3F7VsOFL4MQzAprJRVkPMEBNrGQQv3h0B4ZdspMNbaZdW5ovR6r1XoF4VN0le6ieRjtY2D6msHoUt1KKQaYwNI23c+A6ZPEmOo0BnSQEbpRYOQDd9nlrRrVJAISTMztHLrLTAmtegFpUndXux5Clli61gozUJJ5srOxcrznQGJ9URi80lYD7KfeDL68xAgEWh5IiARGm2kS/znk+XYetZQ1JKCVGpKLVjqlMLYPo8VZv8+6eea8HAcHSnTdt7LQMltv9j+tYNXxXIJvDcJYb2r8Xaa8VoQELaPtBageLV7hllZh6333a1lLVwISmyk8es0EhCc0UAjMNJ6fqV2YSsh/s4y1sRTK0EwqAR0fiSYBcHWCbm2350RJhb2wyz0Srv/z1+yAp+kSpbo0+1VKA+csajqFXCJAUM4yfphECgh6ezd5/TsFdv3fkaSN5BJHTW3lumtVo2zL18wmIz54L1HdOWCVI0olivOXr1kdHWOrOfce/QIsyjpT2e09/eYDse8en3C6WjCj374iJPPnnM6XWCU5mpZktzc5uxiyORyjEEjiyXPn7ziaDzhRz//If2Xr5kuxnz8g/epKcmrZ2/4zdO3zDF02y0uxxOGV1f8zd/8A2m9QffebW7t7/EP//gVd392GynTkOQx9jgG5QLhkB/+mhspI1hNbChBKiQzDTcefszVf/7/Mu0PUOUSci9URuPf7LF3+w6dWsFiMGYynPP66Su+OTrjl3/+CR8+3GY7X5KUS8aDPifnRyipufHgkB/s7NBstNFLzfDinDdnV9Tv3sIg+Nkvf8AvfvBDthotEl2yKlcsZ0uuBgNO3l7x1bM3NPZ7PNjeCl4+n5TLC+seNuz51/Zuj++PP96hzLrfzzsZrD25isfXPm7fKVebwnAsHfijKjXcEgnelXAQK8gxbV1XnK+R2MV3/IxIl5dRxMYln5vFirJmzTsunIxBRA/9g8EIHNcxCi0I9a10JSrsgonaZltcKU7GxX0bl/BNO2+UtlzdWCeRR3V5j35QUEWlqHgl1xurPQpNawvbL53DoVL0IxUp0p6q4bJ8rOqHdWLuWUsM4xYmRkx4OmYfinUG6WUz4Qz8grW+Xs8TIcJcFO7Te+VE9E7tdwwKfR3xYD/OkRffIifcXzyPYkHMDVxANJiobeF+EQwBARrs3y5iWXq92He+hLKd0Bquez3Av3VtUW0W9t2Xg5xW/V4bo7WGXVfQ9WvO92k1jNF4A9WsMNEd/i2G2OAX6EPUBzHZWcMUB2E5KvGdar/bjng81urhDptcUjMrFL3dPd4ev+LuvfskEpr1nPHwCnZ3EGpO/+KE+XTM9q7NEC9MiTAFuphx8uYFSSK5/cFH1FtdDJpitWA6HHL09i2z2Zyd/V0W0yUXFyMGgxnjxYrb+4fUW22UVgiZoErFxckpT5884/btm0gBs/mcLMvobu0wmRb851//ltFkgXJOzourAUWxIs8S7ty5zcNH90jznN7OPklaxwgbbuy9244jW7ndh6WKiFZhE1VPhpeUiyml1uikxsG9RwzHc06Ov0ItptS7exTeUIAhlRphCvJGjUbWI8kMlycv+cd/+j2XF+c8/uB9Hjx6SFarIWXCbDLg7PgFo+EVO7u7HN66Q17vUOqM5Uqh50tWRUlZlDx8cJf79+7QqNesXqNLDJrpZMLL5084PToiqR9i0jZLlQSUgTWCqsp4q61eliYSoUu+7fjurPuup0oDpbaK9VJLZsoqO8J42LBjrgFK7wU3Ec1G7zPEEeFqctqNCarp6xetEQahpdtT1NPvyOYoNia+sHAvtUFTjIPTa6cxeOOAcIvEmxo8sU3c8gmCLD7rPdRESTcpaaUlifNoS5eZN3FoBWmsoi1E4dqnA6zfGBneadvkmbciNWVgAInwe5xLVqTYIAn7PrsRm4XsJ0JTas/oTFAgvUJmPK5LWKbpmhaslMZ53G1Ivv1eKOvd99mMMQRBwkTMwyBc/auIc0SVHC2OJxPGp4aJGY571gi0SIJoIYW1pPms151MkaYWuVGWOggeqVAkbp/rVILdKsQrmnbBSjfQAk0mDZmAlU4tCiFAzRyFdta/MJcw1KWmmyvyRJFJWGnBqhTMS1ufwths+Nv5ilpmF53WMC81kzJFiSprfyVomDD/EmeUSd3+mIkwZNK2caEkC+0yAniOZGQoz8PxQ4oqN4G9mKY9m/JNw0X6GzsrhZ8jIqy6inlGDMzPVX/OCyTBoY8Duod3+LLcrEhdmyPu7I1MVf/7GeWgoPh1bsI7YwHF/qujPg3YCMDtClARgDUZwM/PatVUIEdBJRCHJoe+qOZvMAwIr1RA1rsBb37LqliQJE3qnUNGgxPKWwXTsxcsyiU/+OEnvL1MkGmGKFecXLxhOh5QCs2DDz4kkXX6kz61bofFaMrJm1MGyxm/+rOfMT695LOLIbNCobVmmqT86pc/4+HtmxTjEcOjI44vrphNl8xnC7s9Tk3w4INPWE4WHJ1c8J/+/mt+//Q1eaPGRX/EYDIjucq4sbfN3laHm4c3uHv/AYWqk/V2nHFPBkFw04Aioz6JoZgSxWpwQqFmGCFo37hNs7fPIG0xOB9wefaW9sMbCOOMvm7uJbkkk4JyvuTi+JTz0YTT6YAf//IRn3z8MUWjRaoXzCdjxvMxWZZw4+Yh+wc3qWvJfDZnPpkwnkxIdw5Jm/vs3Brz8NE+3VoNtVqyXMyYLxcMTvv87ounXE7G9Pa2uHnzJs3WNqvSGsFir6L2ibjcuk0xJPLbLejfH//tD+9E8EccH69NpfAHxXbNixcpg7HQ8F95XHf72rnNMsW33XjNdX9qTcHw5yoqJbDG0kTYzESJtEnwEuEVffc6976QpNA9XSUO9Ip/1VdE59eqHSksazgx4w27joIKKz8orPxgFVgTFHwhRXAubJJUB/wLNCUkq3NKfVDuQ/1df4g1krMmboZxxhmKRSXjxRWocuGs0317yssOXskWUZ4BERTwqt/t9TgBpHeQSVMZoMIfzlklIp7K2kzFKy3SOZQyCXliHTqZtIhBj9jU8SdWdvNs149lbPiqDEXeAG7cGFUGWKjGJ5oIaxPkHbPZ5lqIJ1JAA1YXfcJtEz0XG2HMO++sXhFQuNcNfHR9s27r0oLvC/tAfE2805hNRbtqfwjRMOv3bN4f/1ovcfMJW6jZ6F78WvcDv1aerb8y0Nvd4emTr7gajtne3mZ7u8fg6i3iYQuhF3TbNQ5379Fo90hTgcBm3J9P+mRpwt69h2SNNqUqWc4m9C/PGQ+HtNodbt66Q7Es+ev/+Hc8fXtFUQpEItg9vElSs3H10kCxKhgORwiZsLOzRZolNNtt0ixjPJ7zH/6Xv+P3XzylVNo51+yczqQkSyUffPgBP/jpjzk6u7TInmJFkms0idsG08rsVtIP7jM7csIjUAXCKGbDS1AFSmmybpeDOw+ZfPOEq6sLZuMr2gd3bGJrYdHKiS4x5YJEaoxeMTg/4smL11xeDnj/w/d5/9Mf0um1EUIzHl/w5vk3lOWCW3fvsXdwk1qtjtZQzDWDQZ+iNAiZcv/ebZqNGq1GjipLm6hYlbx9+4YvPvs9xWrB4eEhrd33KHSKUa5FEko0iTOgSimDNyLBBEfadcd3Kvra2JjuUklWysZjltpCxU20GELxblsy4bKUB6hyRH49oRWIsD+7Dsxsc1kJh/51XuHI2xvUmc1FICB1wrw1OEjWLWcmEAXvyfMW5NijZ4KlyFquM6PJpKYlCmrCuO3/7DPaU2rPfLAKYlAijAlCiiJBicS/3dbKWL+9wG6fliV2e8HC2Nj51BgUGh/lr7Bx6943iSlJtCFDU2DIDIH5e9ipctvalU43kqKaGBq7ZZHSUJT2Xs8gbD95FIDbB1dIcpdkx0PSUukSDbpFJrFMSbh9tUsDZekUBA81wApj1iBgTf2JEJaByWo39tJxL+/ViOFnASchsHG1uUKUdm6snJKcSEMjKZHSsNKSRBuMSlGmSkpnhFU4JMLu/Yuhkyt2m8ru3wwYo6lh0Lmgp2GlYFbYMtLEGka03TKeWmKJg9+er9SSEglG2jGWijyxn6kUpIkkcftEG6BQxpqHjEBpyUrblkshyNxzS4cc8QKbj87HrRe8IOIZsqhW2SZJSPzqFBX7itdr4qaDT0RYLTs3h5zQFRvfgqU8hBgQGGlFF4QTGgWIxJVl3LwLeYOjVzmuHri8f9YLghFANwgibj37x0KJdg1qU1GeOOtwRZWwDJdKUK4QDVXbZGeHVKQsRqfkO+9R2zqkfPYEpZdMpmMePHzE7OKKK32bB+0MM1pxsL/PVTEn3+1hijlvjl7zxYuXPH7/Pqp/xWDc55e/+hOSacGTZ2/4+viCxBQoZbgymhcvT9jd3uag3aK2t8ODnS6tTpfy5Sv2dra4s99hOhhzdDbg7//+K/7h+WvGy4JmknA5mnDz5j77W22arRatdotet8n2wQ5/ef8Bf//bbxjJBp3D90M/iEhI9qiKxAsj3oArIFGa8eUJShWURrO1fxtkjUTWWZaGq0Gfe17ABZuk0SiS2QXlYsR0NmIyWXJ+ccnh3R4//uEniFXCbLlgMemzGF2ipOLRxx/TTDJMaZgvF6wWcy6PL3g7nNL58IdAg1s3uvTyCeVyxWQ05er8nPN+n/Pzc7bv7PDp7U/oNHr0xwYtm0wXbhYZHO32CA/nARNghKYsvz3L7ffHf/ujjBR9K+NGSr0775WnoDSZah3H4XJBIg//4u/69t8b0nuFIorPvyOVVxe/RRDb1EPCd1H9trDtKsO9FLh96i0fT6Ja+/4wWAeKDXN08zZCPlRtijzIRHTPbMD215pW9YzvZ+UIrBaW33s4tCXXEf0I4mCl9Nk6x7+t3OQW4Xr/eL7mnvFGbC/Yy+i9IrrX87NqKznW2r02Ar7vPT/wThxXXuVhjwzEouKRXiSUDqEQDFG66iuLYKimlf8d18QbF9IEaomgnhpqCWTCykPG0ahSVwYE5brMb2HswygqA5iJnDDGoQpjubDikZ7NBmNMmCR+PvvFEHVhBMkPcmT0nIkbGd0XxiGSWYKc6H/763h5w7s1qnHcnKbvzt1KLwnPRE6p6st1Ja4XZL7jU4R6syZ7VJXaPMTa/fFLzMZ9oTRhQi6vgHgUEkhJ8ga97V1Gkxmd7R5bu1s8PX5CsVxiTEktTzG6RCuXWFspTLHE6IKt7W2ETBhcXXF5ccFkcIUUhp3dHTpbWyRJzmcvvua3X72iP16RJRntToPezi5a2ThzLQTLxYLJZMre3g6HNw/Jagl6CWdnV/zmN5/z+ZfPKJVBuu2+pBTkWUq30yTLUm7ducPh3Qe0929xNV5SFgtEuUJLr0PF/V3pcL6Hwr5Yasl4cIVWNu9cr7NFq7dNVq+xWq4YD/rcloYkcYnMkQilWM2GiPmY+WLARf+K+XTOe+895O4HH5LVc1bLOcvFnP7lBbV6zsM7j2i3t5BpDsKwKpa8evWGt8cX3Lv3kHarxXavY9HZqmCpS6aTMV99/RXn52fcvn2T27fvQtpkrntoWbMGbefNSySgvZNV23BuY5BSkuhrJxXwBxT9eWmhu4VOUMZlt48E6U1x365FHYQkiU+I5zve+c6dZ9gP05o/PSIKlSVPVAK487wG+FM15YPqbK3LjogLB5cSliCuCe2BMFdqjfewG2PxCdLhFDIUmTFIpwR7q7VxdVauzhJDTVZQdQ9rBknhNxZzCe1CLwoLthfCphksjGUoCrlmhQ99LRK8AqSAucktukLbRBKWIdlMuF6xtmYEB1k3VpF1ZhkXmmBNMxq7xV0mDEJWwgGuzqkUpFKSuQz/xg1SKiFNHcRV2y0gEumFDYlUwlnnBcbhx1Np1aXMDZKye1LgYYB2qhinz6nADBLhPMJGh/mBI/oYQ10aarUSre0WWVlihY6VEqjCeszbFGiTUBrbfoygkSrypKSdavJEk6fGPuv6XRkLs5NSoKVN9CFRLjNwxVgTAUJaL70f51Rapb3AKvr1zFCze1PauSttlnKFYO7iETMpEImmFH6CaTIJtdQLQ9bkgzCURrDSNsxDuzXmRzWWR213VQY672VQbvYGzxFembUPh/hJdyoJVyKmJbzIGEP/THRtk174xJUbniRnZFMbynn4V4tQhgirXgThIxZO/FurhG/XCwQGAyK+YoJw4ZERvrYBsRRLaUJAWqPR3mV+eUxz6xFp9wBZlrAccfvePcToCU+evya/3aC2PKHRacNsRJZnzCcDLk+Oef7sDYf3bpEsl8hOk198+Ai1LPjm6+f8+vOXHI9mpNKw0oY7n3zEv/zFjyhHY44vL3nz5ghdrzE5v6Sxv8WNw10WwxFff/mc3z87Yr5SbNXrnIkpw/EM0pR2q07ebHB4eIAsFfPVklKXrJZzPnxvn5PllKlSKJG5cCK7S7Nwu0H4bq9kMLcWFwWjq2NKrTFJRrp1iDIpsnfAfKm5PH2N0ppUyJDxViyWmNERs/GIyeiK8+GAx5/c471bN0nKlJOjC5aHGWX/is5Oh8N2m0aaIcqCslDMZzOGlyNenV2xOHxAt3mb1WDIVm2GKEuuBkOGwxEvnr5kIubcfXSLx++9T0M2mQxmiDRnVaYY7VaOUziqLVpt2yyNLew2RN8ff7RjSRIpppVCGif8CpDG8Fcpo+9K1xUP5p3rxv0vwvnNkOL1x65TBtxbHanwoUNQKQBrtNkroMIrT57qmWqNOdkHbG4ahAmKZZTuouoDpwgGYWetjvFfpQj665vqmD9hfJvC6Uq6s4lL3dkqrjIik1HfiHhUnJQjDDa5j6+XCqghibF0wst1rh7VtliRx511yL1/kw8NiHshfBMboxgp+aGnBIGnv7tLTNyTTvFy/WgVfxOQrj6E8pqXVjsUYFEbmbChiblDLtpIKZ9DxBoihfBIAhNQBUK439jwU2v08TWNlH1BlWch9F80TLw7GwL/i1odhtF/GKo2mmotrh/O8ePnu2vb2vXw6cbUoy/jbiN6fF0kWf/XV9dsUAPfnrVyY+D+Ju14lwysfQa5/br7vXEiqvtaW6tz6++uZCk7b8xaY31eAyHsNttKp3S39hiP5xht6HbaCBSjwRXtfEVZFkyHY/ayBkY7ObZYYZRiOZ9zdHbGYDgmz3O29/botK3yDYKjo1P+6n/7DWf9GaWWFGnBYe+QVq9HUSrKskQAs9mc5WrFwwe3qTcbLBZznj1/xVdfPWe+1Ozs7DJ6c06pNFmWkGcpnVaD7e0txpMJw+EIozT1Wo12aRjMBpi8hckkRmT4HS0wPvG5WZ+80nZMuZgxHV6xWhYsV4be3g2bQLnWpFQlk+GAxGgyY9GLqTHIYo4aX6LHl0znY4yQ3HvvPXqHN5AC5rMxajpBI+h0O+ztHVCvNywdLEtWqwVHR0d8/dVXdLp71PIcrTXLVYlRBbPZmMuLE46Pj8lrOT//xU/Y3t6i1AmTuQKZkGS5M9S6qaurOSAgOMslCin+mdD9hU7cFjPJurIp7PcSJ/AbU8HkYmscPmmADr/D5BXRPp/gJmwMp/ZEv5r0RngPvlhTADyD88q/JmLKjklaYufPWTSB5TUOsuSZi/ttjE8yUykuts2O0SrPRL2n3nWo8wZbpmDcNYlyqbwQfok7j7/wDFaiRA5omztAgzESvx8wyIpXi4TKmiqCr79EWOYqHKTe0S5PR0PaQrHO7PyYCTR5omjmJbnUeI+pNXgkdqzd/tJSWEUUYb3wMrHjU5QGoy1DlmIdLliS2vwCwpALRSNzcduuXdooVGljjISxCnOWCNLUvtMTeaWFC0OwDfS0WVWYNUKMjbBjpLStS00q6sLFjouS0jgvtYBmZhlq4mPL3WJSRrAo3fwK4qPrM2EwWmB0teuBMthxMM47LTzbt4iNXDr4pZVagjC20IZVaRMPecaolTWO1aRFXQghbCyTjqzlbiELVPB6WfhRGhiXgADhFFGfGVHFFXokTuJmrUJgnJfd8mGB8dlM/bpzAsyaMBSmVSwZ+jr49e7WrKgQAn4tVRKCVbYC9kX4tVBBcqu3ulnmn2P9CB5a3wfVKLp+IIxpWBM42hbWf8y47TryYUESg0gT8u4B88kRQpSktTqtxhZl/zlFfcwXv/sHdg72OLzZQ6o5aq7oX5yhRgNeP/mG89GAH/3iQ3q1Dl8+ecbDT94nSWqcPH/D7z5/yWdPj7hcFAGueT/LmS+W7O7t0kx22Ou1eP3qhFU95+OPHlJc9Hny9BlH/T4/+vH7bKUZ/4//+W/RGsbTBbVOg+5Wlwd3btNKalydnTCdTpiMx5RyTre3TW02YVGcI8molSMyNWGY36LI90BIlz/BuD6oJoDpXzIbXdgfSUZ9+xalkWTNHvPRDLWcginIk9xCRY1BzK6YD94wHQ+Zz0cc3u7y+P0PSFaGxWDE5XRES9ygvd2j22rSyFIoSuaLBdPJlNPTC86Orvji+Qt67W1uYDh/+4Kb7ynG/RHHb055fXZMZ6/Bn3z0IfvtfTAJxVIxmcxZ1euUIkUmGTKRoO36M8Yn6MG2GZBKk6bfQ/f/mEcZTG0EQXrNgx6F76yJzEEeISYVkUB4ndLwrmD/znHNPUFfiMo119z6jvHVnfQhTtWTleES98snsbVQeUs//bZLQbmN5K015IPxuxSJiqZHbwz5XtYqeZ1KslZzV76VRMIzUVmValONkH+rb6sQVV4av8NCvJ1U4iC11VZ9Jor5j0MFo8F1kyVGdsQ5ZgKviu6vZpFXoiKEgH9GbN4f91PFgYx/v+dykdzmezKOvxfCxd4L/2fCp/Q0yJVolfxqpoctB4OYVxn0/Xt8Xigvk/g2rYOefXlEnvR4Rnvuucllox4IotjmnHn3mepcdC0YEqKzwiNLRbAxxMvKDVVAeFT13Riz8NXYlpvK6BEKiavmmX98+t0lsVaP64A9IrrfRAWuyxXVa9fbXj3sX1mhWghhzSHJtDGkUtLptDka9ikLRb2W0+l16V+d0zm0yn2pFFmWOvlLYcoV82Gf4fkJ4/GETrfH7t4ujWadNLGGstFwzO9//xUvXp9SarvqEZJ79+7R7rQBjdE20/54OEYgqdXrzGYzLs7PGQ1H3Lt3i62dA/4/f/VrFk/fYIyg0cjZ2e5xY3+HZr3G+cUFz5895eMffUq91aZcTJldDUnzGgiJooYiRcgaQmYIYYPAEQIppZ/ipIlgNRsxHw9QZQlJjYPbD0jSGs1GEwEM+5dIrchkgnVPg1lNKSaXmMUYmQgO7z6kd/MOSMlsNmE8HJLU6uwf3qK3vUu9VrcIQLViNptz9OaIZ89eMl+UHN5ss1wVzBZLjFEslzMuL06Zjvvs7m3z+P2HdFtNhJCMJlPK1QzZ2IPEyvCeNlzHR6TQpBJqRvNtx3cq+konTjl2jMItID8xfeIOq7TjQ8EhZMJ31l1XuyTyUPuVYy/H0z5m1SIsjM2sqRGZdKylggTHa5CN3+ukw0StIQxw6EFBOGO93YZCS9iIBwTP3C3hTHy2AkfUbXx+ivJeMNb7FETo59IDsJ0SuEYUBKFPvILjuzfEXgcCVsG0MBGJEHHPBXZmFweCeqrp+MR3DmYmhd8OrYKr2WQwFkouhUEkospSHcm/BiiVQWlFgo0rkRhqiQ4eb4P1iBtjIftoq3CnqQzeDV8P2wQfaCHW2xtNdOOon094IwU0EoPMbGiCDSOQpBhqmUUjpBJyKcN75iXMltbiXNgKrlnLMRZib7RYywZcqZGunwUIY40VSaLJUiukLUuHtlAKIUEpD1f0DNL3obEEHBt+oZUVorSDwfl7BRaJYXBJFFUlSNms/YlFuyiNlNKhZAyp0cjKDIBXbFPAmMKtA4Eix3scrMxi3yuF2+bEVEYxWx8r2Nj3+yRF66Ievr88XRAhI0CYpR4dQwgZsn0iPVfHy08Whh98/MKLIwJhJEZ4Y0vFXA1u/iLsLh3XSOB+rL2AHWdJFkLHMh+9/Vucv/4HErEgzxq0evusLr/h9fyUO48fsdXsYpIa5WrFbHhOMRkyOjtGZYo/+4t/SVM2ePn0Kbfu3yJVmouLC14eXzCcz20ISKkphGZrf4f/4d/9it1axunTFxxdXLDEkCqNadboJJJnX36GaTT4t3/5S8rpnP/1P/6Wr47PWSyXLIoVdw7ucv/2LVpZztXJCef9Pg/mCyajIY29AyaXfV48fcP+4wmdepNMaIZXfcpOgq7tOYGiErA1BrRlSuOzIwyFnW9C0uodYLShvdWl3dlCDfskZkkiLCNLMJTFiul0yGw+prHX5cNPfowoYTGecnJyQZELOt0WW1s96gJYzViWiuHVkLdHx7w9O2NZKn74849o7O/DaMD58UuOGoLR8TlzCh59fI/79+7TyhuYAhaLBVcXfaarEjo1slqTNM0QxicIlWG7z+DtUpoURaue8/3xxzu0Xg+jCfxuQ0quvKVUdOXd2yKas3bqW491unTtq+19Ti/wF6+TSeIyAnv3ld64ee0Z5xBRjvYqbxgIDoR1ZS3+paM7YoNpRVOdjPFO4za1lupd/hYrv8iN9643J8ga/nqQDY2TaSQIv32vTwTt5Q+3Xa37rATfqrOqKq9D4DcVTOFovnfgVuFtlfLkZYvYPLHZC6HYNWSCPxmdE0RwdX9XjGf1fNR+90b0eK6XEXrMQvStkq+1T8CG4/sEBd2YOL5+w/gVRt3VuBIxQ9/5Mtdg83h55Pqu8A+GbSbjtRjdE4/Vu4efhJGkv1ax6LGghFcn14IxBGy+4505KjY+Q13fncPro2zlsI2esTK2Mdc8++4R06Zr6cQ7xkQnUwVZkyoiqRJKgkzfaDRYLufM52NqeZ29nR6TNy/R2wloTZZl5LnlY0JrluMhk2GfRrPB9v4eeV4nSSTCKKe8l0wmE6RMSLMcvViijCRv1Llz77ZFcWtNsbLZ+c/Ozqxiu1owGCoMmvcePyLLm3zx9Su+fvKSxbKwebaSDjdvHLCz1WE0GjKdzKwxolyyXMJifMnk8ph6I0PoklI2KVSKSTqktR5JkiOEdKELxqXbEqBKlsNLFtMhWhvavV0Obt4BKWi0WtRrNabDIaZckWYZRmhSozHLMeViRJaldHcP6RzeIW10QResVgNmsyV3Dm/T29kly2ouNEcz7F/xzddPeXt0Sq3e4v7D99jeO0ApRX8wYLGcM5uOELrg/v273Ll7i3qjZh2jqqRYTSlWS7JWjiKzzjYhKllWVEsBYVE+udDk5ttn2nfH6Auv5GIFNipLqzE+yZh9WwIuaV5FTta2DREWAbBevrP/Gif4R8zOL3GDQG+u2+iHt3B7eJtnnD6WGHCR3rYsD9MPiwHvZbSKtVdWBZZ5SQcHVhG7WFPWHSGpPH7GwSkiry9Vwr9K0a4UITAOum9XrPF7TkXfK/iecPdbJueQKfjs4X4EQjCCiZiNuy5cOYEpCkOKoilL2smKTFpIvHZKmoeK+X4DK3SBsvPCxhk42L5wMWJWAVLG2Ezw2m6jZ4V6XKZ8W2NlDELaXARGG0QKhKy2Au22SayUCkMiPCOWrsVVvxgqC63xM9DYhJIudQJCwKJw/hADorDKdz2zir9G0p+UrFZOvRNO0BB+NK3F0Cr4Tmhyc7dKO2jjzC1kU2OMVRp0YNCKRYGzvloLrMAJb8YxfuHXU6UAG3AhFn4+r89DjEAr5RIg+vUrMJR4Jmq0XZ0SE7wkXrCxyqvrP1eANhIpNIkUzqIuMNImgvKgBeOUIb9IgtgnCPuly3iNi5iZVp5930a/OgOixZiw+Ko15JiedDRJVGKsX8d+LfvcG2W1+ogF3TXIopvq68xXODpYrQtpvJBqayVbXWoyZTm6oLFzj3zrkOnFb3n4+CHNRPD5Z89476c3SFC0u10uz47RFLz/8cd0WtucvznGtNs0a00mwxkvnr0iqQv+3V/+nJMXp5yMxiAl9bzGk98/RXzwkBt3DkGUnJyc8fr4grufPGJ6dsre7T3u3L3H+HTANy9e89e/e8rlZMqiLEmzjDxLKYolZZYwGAyYLJYoU9LttDHjKV9+8ZQv354z0oZ2p2vDlnRBo/cRiTAErIXw4pileonSrIZnKFOQyAzd2aLX7lCTmkanQa3VIs8EqVSk0j6VCNDFirJYsn93n4ODfRJlmI+m9I/PePrmNdsfP6KzvUMjyzDLJYvZnKurPq/fnDCYjbhx/5Abe/tktSZz0+OiP6Gcjzm7XJHVBR+9/z5723t0G21EqRkvRsynM6aTBabZoNbooNOcWLhME08v7ExKjCGRml5T0M0bfH/88Y4172AsIcO7dCPQofjk9cf6LRtEYO3GSEWI3vutxUcXv0WdWf/uJDhxzXV/WMVLrJ8IiupGWFKlLVBRRQjze+OcL+47K/AtF9YUlvj5uHNEuMN+elkoKCYgpHQJaa2yn7rPxCEEfXI/4vf4SrtibR288lsZzx2pqvKJxHJlPLa+uKD0X9dQP7BiYwKYtQc8kizqHfcXYQo8EsUJuspUyLegLhsfjmpCDH5Q8M271aqqev0givimEIMVIe4i+dFEBXuFcv3TxCV+63q4XnGOOfnaLIwl7mtLWxdqr2ugqD6/9YgIxbdUPJZ712+JESsb7/GImWsK9X3nRLGKdkV1jtGGm8gar+ytIx58WJAAo11+DEley8nSlNl0zs52m0a7zQhYrVZ4NKxwFSnLJavVklqjSbfbIkkzjAFVrijKFavFjMFwTFkY7t69xc7OKy5GZ2gh2NnbZWtnh6JUrJYLhoMhp8cnXF72uXP3Bu12k7yWItpNpMz48utX/D//w3/k+GJgE21qK1c2mw2M0ZxfXFFqzYOH90lTyWI6on/+lvHVEfWahuEb5itFKbZpH/6IWtYmS02ltwjfbwKpVyyHp+jVDCEE7a1d8lYHLQTNdpdarcZ0MkKakiwRlEYgtEItxxgUte09mns3IM1QqyX9ywt+84+/Y+/GIb2tHbKs5rYeLDk/OeHJ11+zWCree/whu/s3yBsd0jTnqt/n9OyMcrWg121y7+5tbtzco16roYxBmZLZbMRk1EeINiKtgczW+I4P10/cvBBu3FNpt13/tuMPKPrrvkkggLO8QhFNsxALZOHv3oK4vpDXtv4yvkw7P33Cmdhw5+HqAhEyvIJxCbvkGh0I/MUtgsoMUfGCsMj8g84SXuUWqSysRvjY+3WpwXiLXbCii0qRd2X5LWB8shYwa/SwIuQeKeFUc/9+V5fgmQ7M0T6/Fo8noja6E2H/d/e5bu8WLkTCtlliaIiSliysku8an3h7g7HMRUZMS4PbC9aAqt5v0E6JrRiZR3pYaLjbM1LbBZkkTlXXtvLSJV/0s8Yrxb5frVXfWvpL9541EuyMLNJbwBwjtDADm6vAxvS5mHgNxcpYizmCojAsM0Ge2kRHhbAIAA8p9IRRG+2MHe7dEY5eGOnGzIRncH1TlLBynny/a4UQkEtBkgiWyibWqQwE0QpygpIV9sCzTrvlhkWBCEApiw7QxKIfQbDyufr91LZhP/a3DNJSxT19MjKfqEc6RkQgqPFOFX4hEZAXvg8SP3+qHCqhPfHhUQV+VCvDFVWCKIHrQ9vXllZUxrWqvyrkwOaL/AhpV6ClQ34scYiFirm6kQ/IFmmi97k1TN6gvXOD4fkrerv3yFo7NJo9GmnO868+Z6YU3bqgVmuQlgLNkjuPHoCWnL0+4pujEx68d5f+eZ/nr96SNjN+/vEHvP7mLTMgSVNIE/71v/tX/PkHj/jid19zXqszGg5ItaZQJY0UmjtNDna2GJ4PeXve5x++eMPT0z6z5YokS0mdsabe7JKRMBzNWEh4dO8Bw7MhX3/+DX/3m89Z1jLqO/s8++xrXl+e8y9/9afcS3MyYUBUjCWmbUItWE0v0ImkLDS3H3xAN4F6oknrKTdu3OLVyRHzxYxu3rMjLAwyTag3G+zud5EFTCaXDK6G/P533/Dr1yf8H372MzrNHdR8yXRsBYm35ye0dtv8i5/9gl6ry2qqGI3nTJBcnV+StEr2D/e4dXjAzZ09hDYU8wValSzmS84uhoy1oJMlKFHHokYIvM2EKeECpAQ005J2soDVgu+PP+IReMq7grmnCfGJSo7YuDH6GcOuw/eKkQaaCXxHWNBGNf25b1Ec3jlCFa5Xhaguv3tuox9E9EV4WQBPU50UsKaJRx7TuKxIkdisrKjI4rXH9e03ga3EEklomEcLYhFiiTSkQpAlFYw9zpBfvSl6jSHwfFtszCurYX236mLj2/VKn6UFgROt1WH9rvW6iW+9XsmVgeaINVECLzdWin7l0QeP6HPc20MUwpNxOId/38b4Rd+DDBzV0bhyfT9WfVi1uwq3qyTMMA5Rzow1rTYcG0psLOx8y0KySGFRDZOI5OigkMehHOvve3dM3l3Ta2tqY85824ivfX9H1nj3COjNTcIV1cvdSAzTf6c855Cr5JAq3CVNJK1mk8lohFE71BtNmu0e08mQRChqWWaztztnWqPTo54noJaslgtWq5LlYs5iNmE8GiGSlMPDm0znipXSrJQmyVJu375NmqUsFktGwzHnF33OL4cgJHfv3abVtpB+pUqOjs7467/5NW+PL60M7Rx6aWKNfJPplOF4SqfXptWocfTiKU+efMWrly+YL6bcvTwmzQSzyZzt2z9h99aPqecZSWoFSy1FCJkVCGSxYHZ1DLrECEFve5es1kAgqdcbtNpdJuMxuliRty1iNpWaEk19e59GrwZZk9l4zMXFJc+ev+Ts/JIPPv0BWa2G0gpVrDg5PuH06Iid3X32Dm7SaHZRWrgd6wyz2YxiVXDr5g3u3Dmk12tRq6UYYyjLgtmkz/GrbyiXJa29A0gbiDTDBtNaudM4vUI4hLVNu2iTuSf/XEXfC9MGu+6cCOSUHkd0YoIdEWIdFJVqglomY5CmUtpjZTxMYBEX5yD5xov7VQhBEL+NsbB4tyiqfPaeVFkmV9V7k/QafNZ349rnle/A/xxkLhAzEVTz0C9eNPQQea902jpbKlqlDouB0lYJ8u/w0HCDdt50EWDHVeLA+I1EnlSiWniFRAQCgOuj0MfOm59RYjMCWAJks0vL6g3GPp/I6r0a0B5u7vrFMiWfKMYzx2hQjb1f+ZQIbgyUVs5TWhmXtHD5EDSuPja7pNbW2FJtuxMzTftNO8C334KpGnebTDFJhNse0S4Y4ZLp2WwKFg+SpTbnAEoEjwI4yFzEjCuBIqSDjP58wjsX859UIyelIQ3J/ozd1lBZyL2tmA7Q/ApNUyUDAosoKLXLdyHc3sUuA6/t38rgEGolnJIqXN4B4/pGWMNWEAPddaWdEpxQ9bHw1mAvI1aGLv9vLLyAh9q7mlQLy94fCyhrAmYVLBTldgp9aERkUKqGJPyq4KomnCX8rupuJ3A1ibUT8D1986EBbliqeSMrCihdWc3tm4yOv6YsVtRaXRrtXU7ePEG2avzZz35AYhRSpvQvz+kd3CBRJW9fPueb50cMlGK7U+Py7THbhzu8d+82/fMBXzx9y6vzS5ACISWiUDw96/Po48dcHJ0yPVly3L+i1mny0ScfciPRjPpXvHh5zN/+7ilfvTxltlqhjCZLErQ27B3u0a3XePHFE/qTKas04W//+tdcHp+wLEouL4eQJfz6N7/BFCXbt+6w/+jn1Jp7SGlC6AZUaCojQC8nLCcXFKakFJLtG3fJpMtfkqVkSYNCl4AiSWwcvC5KluWc5k4PaTTz6YTxYMCb4xNOlxP+zf/pv+Pjxx+hlyWT4YjLyzNmxYw7D2+yv7dLb2ufcrxkNBxyNlqg9+9SFAO2dro8uHePbq2J1IbVYs58vuDq4orTkz6fPztm+8EhOzf2EHmTpdJ2D2C33vzKkcInCFW05BBWE6azId8ff7zDhuDYb5FEsXGXWDt1nYD97u0xhbj2lv+9Fa0I4x+swD/j8PTaH5UAtqZoWFofy1ex7ASVI+G6sqiULV+g2OiLyNO49pg7t0lx46PCivonYh7lZCNf98BkqsNEPN8rkXE4WJBFNvrDc0R/YU1ucnJfxdhFJdO+E3Qdn7cFhC2iI/61KWlWhvCNF7/TQF/UNW2KXqPXrvt2iajKIohHIi5bxN9dP5t3m1mFEvr3V2sllje9NB8MA6Ee37aqNhr6nfesVTZ6v1OATcTdRejlcHuoa1Sa2Sh2falG89r1yXXL2HzLd1uEuebkH+qLjfe/E64c1dKYjWE04ZsQdkilEGRS0ms3ODt5jS5vUs8zDm/eYn42RQLtdpcsTUmEQCQpabNNKRQnL99ycvQWpQy1ep1aJtnZ22V7d5+80eKv/19/xbO3Z5RAu55x+9YBZVEwn88ZDCf0h3OmC8X9e4cc3jogzTNm4zEnp2d8/tVzLq+GJGlGqu2qSaSgXs9BQH8wZL5cUl/V+E9/+3csFmPmszGz5ZxCKxSSJIU8b/Pw4BHtrUPyLCdNbD/YlOKghA3HNbMBs8EpUijSvM7W7j4yzSm0QOYNtnb2OD39nNl8SnvPYHSBMAtEltE8uItINMVqwWA047w/otHZ4k/e/5A79+5RFiuGwz7n5xfM53Nu377N9s4eUmZoBMvZinlhSLM62mgePLjP7TuH1HJJkki7O4EqGA/OefnN50yHV+wcPiRrbKOyFkokDofrtu70apRzuiVoMlOS6hXSLL91Rn2nou+Ff7tovDVhY2spi5vFQ+gNjohH0HCBjbcKsbY4r7gjQtJN3DC//XRes05WTCNOphI80/7dguCJ064MX4pXJH0dvVfUbbIVCEQcKhAYY6BZ9ov1hAeVKNwvXN288s8ao/XE2OC3itOu7GozPtbr6N4fow6E//QdE/rVEzjhoB2+Uo4QR5Y/zzstfNvmY1VOCdfaQ7B1eIkXGMqQ7MMSfaOdwq+9smvWGKxnTjiLlBQC6bagU0YhXUx22O7HsfqKiOnAxBECpXWF2IgUbmtYsm1NPIPz9cGFkRiNkd4jrUN+AK1tKECS2ljzPBNICbo0JEllNMEhG0rjFWRvzBAVnNJIp0i7uRcrrVGCP4NGSmtMSISkUIpVocBImw8h9J21Bsow9m6GGW/Z92vB10/4WRYxMzvSHuUAfhcGP0X9TK7QE+HPVIYnv/1gmEBEa3XDOl354N0kDrPaKch+eRCvT3uvcEYI48a5ep0ISaR8LSszgO0nb0AL888Z3GJJp0JDSLvWDeEpHwqRuDGKEyVJod1uFmuyNeshB4K8vUeifs9yNSNvdGm0uqyWcP/2Q6aTBb1OjdHlBatiQaoXHL15w4tXb9m/dcAPdnbpnx+xe3uPu/cfMj3v89nnz/jPXzxnWiqUMNy5dZMbh/t0teA//5ffkaSSpVAYKfjhz3/I7W6XixdPefbqiKevL3l484DjN+dMF0tanRY3b+xycTEiMYbjV6959uoNANPRlP/3//K/keYp733wiG6nw1QvWcymCOr85N/839h78EuESwwqK9HWzwIEgsXonOXsyobrNNs02lukwmfNFuzeusXsq79mcHXKze1byLLk2T/9hun0De1WkzJvU9uHWnfBdr7Pn3z4KQeHe6TUmI6nDPoXTFYTbj+6y1arRyZTyumS2XTKdDxllXbJGru0t/oc7t2hk9fQiyWj5ZzxdMx8vuSrL14wLVbs3mhzuNdDFwojaw6J5FaoF+Jd7gdjDNKUiHJGYeaUyxnfH3+8w/OV65XHCFEXEafKq32d4G1pSQzbXrv2LefiK5WaUikgm8XFqsx1CsP18v+6CB9759fLFeH5Cl8YvcfLYaKq5Rpc/1q9I2pNTOjWzl03Ch6Cvz5K16s2Zq1oET4d/zcuqa0BdBRWJSq+66h+JGNU3nwPa7fnNqlUNRd8kk3fv3Gdw5wR4Hds8t7kdb++WZtfgfNF3RvEx+ga4bekMiisdZEX70IbvUzgd5XyctMaasEjceN5FeQRYtvEO/dV+qmrbSi/esFab4bJtVn/6CXxy9aOSq621RPvXnPt2eg0d91z7SgvT5SvSBC9MpIvgwFpYzGaDStHcMOtraHrD1+lNfVbrF+vEDU4unMdPRDrTd74IaJ+8TtSraEbgmzj5lYiaLSaLBdzUIpaPSPvdFHDBole0Gg2SaR3kmrUcs7pm1ecHZ/QbDTpbfVot1o0mg0azQaIlF//09f8r//pdyxKO2a9XpftrR7FyibFnUxmTGdLjIA7925Rr2esViuOjk84Oj6j0WjSbrfIBjM79tqQJpJ2q8mqKDk5v2Q0nTGazXj+9i15mrC32yHLBEWhuBxM2D28x49+9T/x8Ad/QVbrOtlUWx3HWFSQFIIUzXh0wXI6tHmoanVa2/soUhKjEUKytbPNcjZm0r/kxu07LMZ9Lo5esBockYkleeaQtXmXrcMGWS1le7uHFoLxeMxwcEWWCm4+ekCvs4WUGUrDbFkyGI1Jsib1Rsb2zi55KqnXashEo3XBfDbk/PSIk7cv0KsFuwe3ae3cgrxHSeqSa4OQFWfzOfESo5FCIU2BNEuE/mcq+hXrAh9L7gmBEdXi0oFAV5a04Jf1DMh52n1GfM+8pIji1zc4XmgYHsK8biX2Ar6rBeCS57m1YLf386DkavKH3L0OpuvLC4vQf4+aH0f9CrfIYiIcIH5OaajKqYwL3h9v2xItaN9s4WOZvafZ9Z2I6uOZkqhqVcHzY8RDxVAMkeEBzzRNeJ+3RRsjQvyXEFBeJ1a4hYRDbGjc1nLGZqf3EDP7SIXCEM5K4bfGE0KAli6rrAnnjHvOe4u1YzY20YVrc8Qc1hhP8A57wmsCLNv3iXQcUzttXIR7HVk3sCxt32hVJcXRzo6gtE2E5OPlqlSQLsunlNb4YQzCQhHsHAgecEHidjRIpAhGByEhSyH3s8aNQ6lMSLxkm2gihm+3JPTTQVMZZBAVU5DCp83E1le4UBMv5IjEzQmN0MZmUnUVsERGkiWJTdAYIIP2NSrCAfq16b1Egc0bt2qEN6ZpZ6gS/gk3/01lPDHSLU9DnGhqLbdE9FbMeiqosDpM1Q9+noggiBoSL/hQUZ5EVAKkX2c+NtSvZynWBYDKhAL17jZqvkStRtDskOQ5d27f5+jFMzp3HpLKBFHLMaOS0zevePvmDY9/8Jj9zg5Hb86p9VrcuHmHyVmfN2/P+PLrNzx9e8pSKZCSn/38h5jZkrLZpJ4Yzq/6zFdz6p0mj+7eZHT0mhev3jJVK/7N//ALBk+P+Z/7Y9Jazs2be7TzGqN0jpCCQX/KwmgW8yXawGwyo9nMGQzHtEXKYrZk98YtfvV//b/z/id/SrydTWzekEIjjSaTkovTF6yKmZ033S2azY6lx64PW9s76EIzmQwptaEYTXjx1edMlhckmaDbbUNZkDfq9LpthDYs8y61ZcHo8py8mfLho0/o1pospzNWasZyXjAcDBipBLX3iHrS5P79A7qAWhTMJiNOjk84urxAaYOqaz75wUP2ugcsV4Yy6zHFweQ8GsuFBdktuWxrM1mS6CXT2YjUFHx//HEPm2fDfY/OW9otIpk4xstt3FyVxhphiI+KrAV6E/PgSsZZL15s/I7PQcy7qRoSHtjUPDZLjohVXPI1sN7NJnnJZbOe7x7rZV1337XPernkms7cBLtvli88T/d1d/y1dDvl+Dwycc1i3/+akh3DzMN3vfFSb5CwPSIddNjLXIi4rpVc4OeKhaW/Kxt5w4JFSpi1ORSQ6CLcUvWJ0GvjGmzToU1x31Sx+tX83ICeB8dI9WxwjoRZWxni352zZm1uBoNJvJ6qGkUliHDf+hGfv2b2iGo0qz65bp7bf6p6VwkNfX/F4+dEindQG6L6uvZ5/RHNOhONI6z3+dpxzZVYbvefkcMjPOGdcqFHYhoTy6uGKjzUviCum3BOPSmg02qSJxK1WpK0m2gssi1Rc5dnTaBVwaR/ztXRMxbTIfce3KWztUWa10gkpFKgC8WTp8/4m7/9J8bTkiyvoZVmb2+PNE2ZzmZMJgtmi4J5UdJs1tjd61KoJRdXlxRa8/5HHzEcLfgv//AlxihqWQoYallGp9PhcjDkajBiVZSUyrqGy1RTKkG726IUUGv1+MWf/Tt+8d/9n1npOlqBEFbTw1jkqM9PlUnDbNyn0Bqd1al1tmm0u2A0WisSKen1ttFlQf/iBFF+xOjqjK8/+ycoJ6SJoVbL6fV6pFlmEa/aGhwWiyVSaG7cuEGr1SSvNQBBWVqU4sXZGbO54satA9IsoyktMtgIw3I5p3/xlqOX3zAe9Ol1e9x59DHN7i5l0qNMahCS8BEQu1aeB9AIUyL1nETPKIsFUq++dUb+AUW/SitmqLZPEsILem6C+ZmMiX7HxN1EibeqyWmVEw8vd0zcrURPWP17KzIhKshxoFCCKvuqWbPUiVCKj1n2d0Fsygy1Nzi0QVT/qGxfavBYCtbK8HC4d1lvTMtFKCWGG/n6JO7eajMh55UWWA+xJxJQtTvEcxsSFwJQMRYTtrED6zGV7jmfDFEhWCHQypYhg2nXC7sWp+DTvyWBG7r9WbXPDGtsFnpTpY8LIRjCjl2S2FAFKXyyOE/c3DyTLuu/wW5dJ9xnrGQKMFUKd/seb8lGBA+/0bbcRFbGlwr6Xo2/1h4jIu3e3xjn1U3QmgDX1w5Gr4TbliXqB2SC3zYy1SpKpmdH2sf6CwMJNvSgiOAPljDb8ARhXH8K3FZ9hlJb01V4JHrO/nYpKIVXrO135ZR74+anTywWsuX7fheSLDFI7bP32muJTEgSiRayMpz4MbW1xoj1MfRyQrWLhSWQ9quMYPzV3F+LqTNVjhDMNdtBUtXbnqqokZ2vJgyLr4A1NLr7vDEplFVRuvWkfBUxEcTCcrWG16+DyOv0ujssr47Jdu7Q2+oxePJPnPX73P30x6R5Si2tMxz3mU1HfPqzT+m1tzg7vkI32tw6bDO5nPD7z57y4uyCrf0O7Wc1zsczbtw8YHB5ibl/h9cvXnF03sckNu/EwZ1btHXJy1evae62+cX77zE4H/DZi1POlwX7+zs08pzSGEwiyLOcV2dXTBcrEIJmPWO5WqCUYjmdsre9Ta/eQKxmfPOPf8uDD/6UppQIVECTAKRuTQsEiS4Znb7G5teVmFqbLG9SakNZgpCC1vYunbTJi88/59MP/ozXX3xG3k05zG7QqGfkeUqWJkgDarlgNp0wHjVI65rmXpdb+3vkSIxNRkExnzO6GnN01mey85DD3h3MeIZggBALhoMBr1+95vXRKaPVmE9/9ikPb96lltRQhWG+WrFMchQ1t4YMGBXmsh/tBENDLBHlErWakfXqfH/88Y8odca714D1NNT2CMoTGzLAHxDz1yiB8P/8oTu/tYSoRu82oJIZ3i1pjc6ZdRXguq6wVRVrv7+zmeGeeMb/oZurCmyWL5xW5OW4DVU0GG89zDg+DFQJ5xwtFrHwFmRIjd+O0DMdP6ZB0XcyjC/Xy6f2vdY4b4KiHxu/I4U4KGOmmkQQeKDZOGdEVKdwQYQ+8jxtQxys+ihGrUVEyCNgK7ScNW6tvSbiq5tTyTvMrrkUIRY2z1c9V6H2QoXW5K+NhzBrJYmo8ZszPbpmqJyD652z8b0azzUiHVe3KnlNFJfRtThnRHxcS2LW+vLdc+HE2jx99941T37UJC+fxcWKqPLVWqkMY2u0xVToFNtu69Ss1+p0elv0B0N2t+22erPxmGamSdMUKQxFuWI8OEcKzZ17d2h1uwiZWJldKyajCU++fsqX37wFmdNsNFjNlmSppNfdYj5fMp0tmc5XzOYrikKxdWuHvCaZL6ckmeT2vXvU6m3+/h/+ivOLKxq1nHargzaaLEmZL1ccnZ5TarsrVAoobZV3pRRaG9I0wxjD61ev+GQyQdZyhEjslsMxfTbGKpWqYHx1RlmWGCT19hZZo2PzYElBIgS9rS3SRDK4OEcVS8rVHCE0zU6HPLdJwZO8gTKwLBWlLpkvCxrNJrvbPTrtJjKRGAOr4v/H3p8925akCX7Qz32tted99pnvPMaNITMyMitr7Oqiu1XdqFotgTCEIQHGg0yGyYxX8UfAKzzwygsmGS8YGCYJJFO3QNXV3UVVZWVWDhFxI+585nnPa3Lnwce1z7kRKaFOeIh17Z6991q+3D93//yb/XNjQDg6POTLL77m6Uef0up0kEKitaRWFdPpFfvvvuZo7wXtFB49fsru7Xtk7SGVSqhVEq2QSI61k6sxUciokqSeQT1FippW1kh+1bi+eY++QyC77PwOZN187j5dhnoECE+AdKMeg36BpLhOuEUr7RnqGuGJfOzzd5QgEdFCtpU0s3k7b3XogRA2rN6GgjXDgLU/IsZVIqzQjyXegXA0vVlN8hgtwmiVr1pycW9EC1NLJ404X6fxLmqxOpJxXcHIobHbqKX2e4qxXfJ6fgSfuRRaSOONx+Rl1whQUR1aIVzIvnvNhUjZsNYQNmhC/91WBBf34YaiBttHc0xhgmXqwgkH5ruyWkSthY0UcG3YFHMWvwKDMkxQRmzQD5Q2+9YTYbdlyGg+HLPUoO058s4oVWuT7M949EQUKm+ND0IgReLx2tFkrTU1yoSCRYxSCkmpbaRAEoh7gBvSRJNZdbRWJpeBUbrNPv/KHjHlth14boUI22GQCCHR1vDgsdQJMxHDN8+cESYYYlLwREW78zU8wO494Y1nWofsESpa27Ww9WtzJ85iEHNS0eB+Yd7cs4Y3ync8Ek6189+ZhRF79gIVcEcYOejtcxethGiERQo0iVBkQlNp4U9XcAlDXRPS9dZFHgi49egpJ6evabFgcficveN3fPSjT2lphUgEF4eHTPMF9z/8gI3RFrPxjGVvm93RkMv9r3j1co9FmfN3f/9TDl4cMF/ktFoZ66M+rTTj87/5HISipkYVNVkq2V3vc7z3insf3GV9bY3zo0v+4i8+55/85Fck3TZbO+vcv32LerFkOlmy9+Its9mUTEpqAVKavftJmtLrtElrxfqgh85L3v7sP0f9W/8eIhvZMdTeOJsIl4NCUC6mLOeXYO8Ntu+ilWRZ1SgFMhG0+utUZc3F6RGVKimKJbPphG6/ZXJhSEGv04ayIi9qzs4ntHZH3Lm9w9baiFaSQVVT5iXzxYLx1ZS3+ye8PTqnNbzPrVoxOd6nMzjlaHLBxfkZ+0fHbD5Y53cf/oCtnVukdZvldMrVZEGVdUi6IyqL4/78aUsfhMAeeVVDMWM2u6A/7DPa2OC76/+frlU1Jb4f8eMgVbNCdKLXheefguv3goAeCfY6VH5dDbc00TIJ07wtv6JANVS3Rt0R2JE00uyle+8bxmEFNvENYxbAaPajoRr5sXBH2kT9cM+C4OBfcY4O0fiNN2QrIo+lDjTcyXzSVx+kD6fw+DPlLX9sNC/wYdqep9hPk3BYWI/oDYqxA6fBB4NMrO3DRth8o9+WxsTyoK0ghK6vQBW3Y7+YV5qzEpc3fW/ObGzsinH/+qpp+u2dTOP62XjqtgrGUSVCEI6etv9934LDIYbbGyFEVCYqd62PxB5scUNuAeFfF37gzNvReQfeJriKy5rmUm+QjZWx8ZdFkNVyjR54R+DqiEc5YSK64zPpu3Xktt96N5qT5+P1YU9Twm2XS7h16w7HR2+YjXu0qiWJhI2NDbqdDgJFXS7J0pTh1jadXgcQKGVy51yen/P29TsmsyXf/+GP2Dlf8PLdCe0KsjRlmeccHZ+D0ExnC2azBWVZsj4akGXG0TQajZCiwy9/+QV/+ZO/QYiEW7d3uHP7NldXY64uJxyenjKezoyclkqkluiqwkTmaoqyMmpDVfPFL37G7/29Y3Yf7jTGx60/I7tpdD5ndnmCKkq0kPRH28hWl7rW9mhSZY/YazG5Omc5nzCdjCmKkn6vxWh9nXa7RZpmzOc5y2VOVdZUZcWg22PY75MmCQgbCVvXnB8f8/kvf8VyWZO12tS1okYxn005Pz/i7Ogtqprx8MF9dnd3GfQHiKRFXQu0rhFkxshiY1Qdnms3w8roWNQ5op7SShXtdotEvl+d/xZFX+B25AcZ/7qdziwKi3YRRXVEzHg5w3F83imN9dS5BaXxyroJUQnC/Cor0o5IRs8ckjvrqcBZhAMb8LzVvRFVbHM2Eo7porFiQzshjEkQcgbELNBnqI8sdLG9xTEhB5mI3nUL3AVcx4YFHywuHHGNmalRWjzhW50o/6Ftf7XdcyyslztEMkgp7EIwBDURil5S0UpqtNaUFTas2lnftSfuDjldyA+YPXO1TRTnGEZtggRMP4QArVzyT6tcYyMPhBcCwChcDjbDeCxj19pHQsRhm75n2obXKxeuZ9pWWqOV8/grn+BGa7MLWRrJwOZTCANpwuDTCCdsu1pRaXserjDL1UVbKFuPqEJoqbZSg0DYYzYMo1IKG03glH3zWwnjjZdYT6owbysbySFlggv7wTI6l4E/RomYybrEPSrGUy9giAbjc4/cNhxBEATCcYBhHq8Tq5hdh8JNhhtB2pT1rFDgVntY7z503+GE0AjttlYEobLBrJ3QJ9x8KRMBoTWdtGaQmdMX8hIKLX1Eh1/rwsW5ODZrokE6W3d5LC9Qs2MuLk959snH9HtrqFqzuLpiMR+ztbtLq9vl8nzML3/+nOH3/oD22RGvX72GTsbf/+/8EcXpmC+XB7Q6HXpZClKymC+R7QypaoSq0VXF8dmEs4sLPv3hM9a7HU72T3nx+pCf/OoFrw5O2X14mw+fPqCbplyWJVtbm7x+9Zrahrj1e12qoibLMtqtjKqu0aqmJdu0u23K+YxqOaXT27DbO0DbfS1CGDoigMXVJWVltgWUpeLWvSfUpbL02hj3Omvr9PvrJNWcxdUpF2cnLBYLSlXQame02m36gz5UFVmassgX9Dodht0hSa0oFwtUXTM9v+B8fMHRwQWvjg7YvXubra0NmE+YXRyQLA+ZnV9yNb/i/icPePrkCT3dopjnVHXN5GrG+aKgN2xRkSJEgjeaaUMLgmImzDnD8ymb6z3W+10ymfHd9Zu7Yu/WjdK3fy6aEvyq1O1lZycFXFd1GkJJQ8KgSZuuCQj6+v0GcdPNeysyyHuva2Wu08f3vnaj0v9t9a8oKL4u+zsacx9lqMOYOoWn+V64L5x85eQcoa0SE302oDBtON4khTBb3yDyvtuSzigSefjN7/d3XjSBXOm5q5fGtEWibuOeV/WckBfX4cYpQlNX6jp8DWF1BZbg8Y4/Vzmck5O1azxSIk30QTTCthNORtT2ZvypdaN2L6fHsK/y1/iLbuCiaCJHwwsmojUT+HpT8Xd1cu2e/7sqV0TQ6Mb3Zph8o5C4CTNW+7cC/vvKY/C1Keu4Tzeeq58OBu0/41m3PrhIBjVHfCcYRwWJYnt7g+XsjMVsQicr2dhYY2NnhyRroasSIQSD0YbJNl8sOD8+YjqZUJY1RVGRpC0effCAjd17qPQYkSZkWUav22WZF5yeX9Lvd5lMZ1xNpqQt2NleI2sJpE4p84KD/WP+8q/+hsWyZDga8PjRXTY2N0kyydV4ynQ2p6prpJQkSWKibO2cp2lKlmWIRNDt9bmY1NRVSZqYyNgoxtpEH0uzpmeTS5aTK9A1Wmb0t25TJx3y2oxeC0GvP6DT6TKbzcz2v6sr5rMZvU6CFJJWq42UEpmUgKAqK1ppSrfTNrK2hro2pxOcHB7z1RdfgVI8evKUJM3I85y8LNh/95aLs0P6bXj88AHbu9u02m3jACxrqipHVRqRdpFJZqOLLA7IsA7RJtN+R1T0Muh2W2QtSepPpbl+fUsyPnPJaEkI/8R5UG0oPbHXP1pGljEIsJ6SEFpvBHarxnoqYqmglkiUzX5tFRZnMEbbM+4tTI4mxOZXVgiOBcXD70C0xC9YO4Vf2O5xOJ/evOsWk7AjotxeGe3a0NHYEd4SDt6QJ0CjEf44AGNgkH5Bm/9xqLlLqOeWehTE5cfBne0dWy4BnxPBhaVnoiJF0UnNmNcqsQn5jGIphbTZ3gWjTNFvQZYIFJKyskqrUr58XdsjPSTIJDFH5dlxFWjKSlDV2h+xWGvr6bUJ8nCedQRFrUCZsGCXDMvbNfzE2rgB7Ra59gYnf9BEJJvVAn+Wo/BzbGbTHE8TDj1Ubm5wHnIb1icTPHMVwm+BcMfdCAE6kQgtDLEVitS6HrTS9kg+l0THEmur/LscCUVliZV2CcGkVUZ18CQk2D3+zrscOEJt4XBrJ04MuSJ+Bu6kDROOZDaDv87oYefH8E43ck1BxEARTZKdy3hfrc8/4eENuTscdZHYPkkbJWQbkJj+KlefUO4LzeBQbaIXdGCOUhslHhmiJ4KAYXJHrGUmcmVcJSigk0EvM6VaKQitqJVmXgqWStq+CYc93nBWKQlpn25vQKWn7Ny5RzXd56y6Ymd9i7oqWNvcIkNxcXzEl3/zBX/2k7/h9zdusRzv013v8clHH5Ffjnl7fMLOsyd89uaAXx0coZcVRZnTkhpUhdCwmC+5WuZ89Mkzhu0+x3sH/OTnzzlbwmyZs35ri+9/+oyWTFjOF2SdDuvrGW94zbIoWRsN6HbbnEzO6XbbCKDX7ZBqQV0rUtlmOi5ZTi5Idx5YXLHGJ0s7EwF1XTM7PaGoFihV09ncpjvYoq4dHdWoSpGkXbL+kJ2dAflyQbc/QHS26PdbbO9ssr2+QUvAxdEJey9eMq4LPrvzA9oSynzJrFiyXMyZTeY8/+I1eavi7/zxH5DpDvOkzXg+QRcXnF+eUrUUH/3wQ57ceUiaZMhSUZU108mUq3mOaPXp9odMknbASbsWhEVc522SUjNab7M2ELRkiq7ez1i/u/7bv1adDI0fN0nWkaB+TRjwdd7wzvuu9+gBjUcRrQv8BS+3rJZvKhvvvxeo4w2wNwARxLc9iYvvBrK3+uR6B21DQdlwzyLIYkVl5dVmnXFMZxBipVfwrZJilf5GLwV+L70ULteP8I6A0ILjO2EenGzwTdsuHDt2c+adVESfDhAdy12hlyt+8G9oiGs4ufpmKBbgXsWPm5RrJ2f68b8JaUQEt/ZcPCi1DeVeX2vLXyKazchjjzWcuwg5B1Bj9cblvaGmgWAN5NGr77iPxiJY7WZQ3/VKidhR6CSIG5X9910ehLBIxMqzGEhx7b5r38mNBuelxOasClsIQ34nHd5zDlENWpoQd+cMElp5b35qsriRyowH9+6gFydQFFCXdntsjaors6aShOnVJW9ffsXJ4SG9bpftW7fZvbOLTFJKBVVZ0O92WF9bY1mMabXbaCTT+ZKyVlyNZ8znCx7u7LC5NUCpirLI2d8/5auvDinKmvXRkPX1AevrQ6qyIE0Tsk6bqjYporNWRpImLPOCWms6SUq32yZNjaLQ63WZLEtqZTYIOh3ALEzjOFNaQF1zdXFKns9RGpJ2n8HmLZPgrqpJNSip6XT7rI/W0VXBcjZG24gHs51XY44F1FRVRV4UZEnC7vYGWZpSliV1uWR8dcnZ6QmTqynD4Yh7j++QDTbRSUZRlpyennJyekIrEezubrNza5d+v49MUuqqZDoZMxlPSVs9kixDy5bZw4zVl+z6MUfqaVq6ppMo2jJBJhLsNqT3Xd+ajE9EnMtlNHQhqibM2aqy7hmB2OioDqfgC20m03j4bUi2z+7ukF8YpYbIB2m9tW7RSkR4Gq1i17bUQYGLQ8TcH0+mnYUzTobil37MLHWjTJAfogCliHBga5Arv13/vFVOOAZh9ksHC6+DUFglEhDxLuOIIPtxtoRK2CC6KHwtE4pMKJSuQUNLalqJJpWaTDoFrEIop3SZK9GCfqroZZokMZ3UCqOEKat0YRX8xDIObcJ+KluRUdAgk8ZQIASUtTbZ920YvQ/Ts7B3nKfdKovSWmKUMAK3RQlAk1oDSWqPGtDaeMHL2oS/m7vSEM4orMKMURg9ZRFMYPMk2PlOpCBLjbLvMu4nArTUJFRmNoVT1s2YgTJh31KTJWYRKikoKoVSxnigPAOPQ+Cdkm+3q2hzAkCSYPfU440LQpq3lHIvCrQ1zgi7AAMDjRTzBqabNrQbC4E3KgjijP4O8eOFGgwDsZjjhBNLeq1BzkWgOHHXhH67YA5nPpFNf7kxAmG3pHhQQuSGX6AiMO+mOBAiX8Izs97MyQtmjvoptKVNQiigVIJeas5T1dqEpyM0mQtVrGoqJTzeZ4mNbqlhWdVUSCrRppcVLKo5v/jyOR/88DP6/S69bMBk7wVnZ4e8ffGGq3zMv/U/+AeMp0vUsMUnH33Ecjzj7ds9znWLD57c4+/9vT+k/NO/4mIxZTFfoKoStSw4v5qyf3TOv/+//Ld52G2z9+YNL9+dknZb/HBnjeODE7pPN0zIu5Ska2vMFwV5PqWqFVkro521kVoik4Siquj0Ogx7XbJFSaEVaa+LAJI0NXikFZWzpFnELdCosmZ8ss8in1HUBf3RNkK0jDFQWIOogBK48/AxdbkHxYzx1ZiSBVLC5GLM4nKCpGY5maE7KT/6/kds9Ifo5ZLFfMb46pLjsyNkK+HjHz9itLZOKrqcnEyZrnU4Oz7n6OSI27sdnj69w62tbZIaymJOlZeMJxMWi4J51mfQWzNHaKZdc9KGBqSJ0RCqNvts7CpopZphL6GVZOhlzrJc8N31m7tE9L+pVgVhoyH7E/1efRD/vEkTuLGkWPl90yuxqqBveP6NDa1UFWQv/2YM6ypY1tLfFPhE9HGjphHRxFBHXDTUd13bCxzsel3xaDn5yBlFhVdmTIitiBQbvKIfYHfzbhQhLB8MrWrwBu9mTJn7GjGGG2dtZaiiyxkPbhyBb9Tt3z/PDU97JG/66nQot9pU3OS15mNciDipZckEXm7N9RFCaSvjXpcqwUWKNrsUJHxX3jnlQsNRHdAc6HhiG32IV1BU/qal8w3ajesVK3D7dURsCAjui/cRBA96Y9BXZyU2LbjfpkHXZiSyeDlLSmO8SqUmkUYuT3y0y0q/tJWBNCFRTgIuh5XLP2S+g9Ym2TLtFmWumV2eMB+fo6sd6jKjWM6Zjy+5PD/m9OiAqsy59/Aho9Ea3f6QrNWiKCrevdkDznny4ff4oz/6A/6z/+KfIhOTYf7y/AohoFguaGUpH334gFZbssyX5MslSimyLGNt0GVt2GN7e4NUSq4ur8hLTbvdtRG+CZ1OlySRLHOT7LbTbdPrtVG6ROiEJDGSqaBGCk3tZ82MhYvQVXXJ5Ynpj0bSHW3TGW6ibLRtpYwMmrTajDY3ENUCpUqkgMGwT7udISVUZc5iWXJ5MWE+m/LBoztsbowQQnN1ecHJwTuWyyW9Xp879x6QZF2UaFMnKTqRXIzH7O3t0coyntzf5f69bTq9rlHQUSwWcy7Pz6iqmqQ1QIkMTYqQCYmU1Ni4euEctIo2irbU5vhAramrCl3/N8y6bzxrQeGEIOc773eM0i7MWUblzeAr4qMrnGfZCdzOSKCt1N9kj9ovLkdww/FcukGo4ne0iEUCYfsTxAPjiRd+P2ZgSiuk0zOcZjurfDOGwHvxI2YlI01KeJgCLJ4sRR77uG5HoN0C9uTIEYx401j0ptAGOVqiwmSlVGQCOonZD55YKqJcTJY2hEoijDc60WRJiCrw2WQVlDa0XNWKVAp0AlVtPPUm4bxRspRQPtTOWHm1h9fticZ6k11GWQ2gwvExzgLi9svreKSFMSBkiQ2e1mCctxIl3Zy6wGph9hZjjEFOyXaKYOyT8EqoNIS4VrZeh4+1iRKQQtutGtIKG06YcQKO81JAIqW1vJrV4mAy3THjkwqJ1AIpNamtJLGMQNi5UraflXLjZqNjbFW1jlmsxmWvV0IQQviC8coHP2n7jjbbXpqZ7APuK7dewTIWyybd+iRst5B+SJ2l2bQh7diZ9e/WmDMtaO8FdgKGXyX2u3+G72wEpQ71iQB56IFBEik0vVTTTs34JsAoMaclGIFSWC+9pjCHJaC0YcLttqCbCVJhxrdWUGpMcjyAtE892ePd6y/ZvrvD3R1jGZ+dnXJ6uMfhwTt0T/JHn/4WV7MeRVXy9PYmi4sJ797u8TfP39H/4EOyboeNjS1E2kd2MxaTKZ//4kvKoqQoS7bubPHZJ085PXjH0cU5jz55zJ21Hf7in/xXXBQ1H9y5wycfPuTp7javf/k5//ynn1NVKUIKWmmKO/WhyEtEKzFKvpR+X1xe1ZC0uBxfmcgdbZirI+Fuzcmy4up0j0orhEzorN8iFQnNBFeaWmmGG1sIdYouF/SHfbSoGQ7aDIddOjJlfnXJ5XTCVNSMtsx2gelkzMnRW6ZFzsbOOltbG4yGIxbjBeOrMQUJqjVEJgUyTXj6/afcXVtHlTWL5YLFcsFyueD44JQ3h+f0H3/EcDhEJilaZMboDGGLiCUAAkGaaEadknYCdVGRLyYsiiXfXb/By7vhAp8La50mnYhY4TXZ3AvcEW1z/GWlSWPEdd8jLv9e/UJff6bDfS+32Dqa8MflLYw3teNAEFFxp/SKZiER/Y4ksOttxm95uSUe5xXFJepc3IcVEP1zEQ2b22csUF7Rdwq8r8d99zwUz0uMkr8iC+nmWLhIL7e1K4bupnGwM90U7Ox8KVufO/WnOXL6+ihFcp9olF29Qttws1IffokYLa7hcyxJ3tDRG5prKvRBzo/q8cMQHG4NO1Bk7G80qMWK/O3ai4ESDdxuqscukjLGQ3GtP0FZD/XeuFxE83VxU+nVdbN6v9Hv6NEKOTAsY5U+hXveMy9inDbKfSK1cQx9g6KvtNnyak5c0h5pJGa7rcAcCaztnGplo1uFKaWUoipzNjc26PUHVFpS5kvOTw65ujxjMBywsX6fVqfldz+VRcX52SVHx2doEu49+oBnz57xlz/9kryEsqy5GM/QuiKVglt3tnnw8BZalShV0soydre3mc8Uk8mCu3fu8NHHHyKThK9evOXlqz00c5NsT5owfY2mqmrSVLK5sUarlTKbLhBJTbGcU+ZLitxEDkJi8NJt+xUG/3Q+5+L0wCQCFinD7bsk7S6VBiHN9kyzPThlc2uLejmmyJfUdUmn3SZrpaA1y+WS87Mrzs4uWBsO2N1eJ5EmuuHkYI/J5SV37t1nONpAJi2qWrMoMd7+WnB+eYWQko8/+oDbm2u02ylaCLNF4uSIvdcvQcNo6xYiaaNFghDSy8caEOaHMUxoSIVxJIJGqRqpcor5+AbsN9c3KvouwzZe6A7I7hai34MbET53hbB1RzgEmpTKpnoPSoZV9uOlYVeRY9oaY6Vx+52d1hv8gzqUxyrZFv6QACzA5khnREaIIxFkw5KuPP/WPpoheCwD4TBfnKdYWDiC2mMRy8NsX7GKkiAobKaqRtoQrPTpGVkkP1i+FgKYzdjXaGpSMCE6GiSKTgJZYryUGhP2E5RscyVSg1bW6m5UqtoxOi3MnuXSCO2JMBnpq9Lggwunc+HSRgHVVDpKIqc1IA3RwtVrxsfYAIT9bvrtEqCZ+07gM1dqEc29q5S16tGMAnH3lfbZGPzM+fn32GGwKZGCNBFUtaCuHb20EFtDgcYm+fPHxmkfrq6EGd/azm1Raara5XTQvt+GEUlSYY8qk5o0gSwOhxQWFzGVKy3QyvjvEyEt3iqTD0GaJIGJrkAbQ5uSKVravtvkeW4HuxDWOBYsR2F9NphZOIvDix7ChV+ae1KYnA6JCElh3Pp2SY6aQuyKgBWt5abgJ3CxDw0xwofBRGsEEZirlYy0pxlmHBM0vRQ6qTanDYiw59NtJ0DDstRMc2w0R20jHsAevGDWvNJ+32SagNCKKumzWFSMdra5dfsOlIqqmjM9fsfF6Qmyl/H9jz5kOS2ZdW9zq7OE5Vv29485vFxy/8lD+oMOVaX55RcvuFouePKHf8Ljh5/wf/0//G85O3zNxcUZv/PjHzB794bLyxM++eH3WUv7vPz8BZ9fLHj2wx9w7842Tx7skp9cUC5z3rzaY/fpR2gga7VYG3TJZ+bc2/V+l0RIRC1YFAVXdUlrdgmipNPpUFeKsorolzaJYTSCanLJ5PLAGEZIaK3tIGVq5z3gjxaa7XuPWO6/pp6cIWROKqDKcxYzwTQvODs+4ez8gsefPaObtJhPJsyXc9Jel8f3b7O9tYnOK8p5SbFYspjMOVdtOkmb7rDDj3/8CTu9DolWTCdTptMrLk4u+Pz5S6ZlznBrg51BgqgXyNYIIVPMpiQ8zgst0NJkJR6kOUO5pF7OKZZz8umM09MjPuW76zd2Ob7fUHNiBSBWDNydWLtpqk+B8/jKr11axHWt0q1fB+DVNput3vQkcvVG0K+WXwVCr9zXK2X0yjPzuVoqfnb9Xlz2puc3v7Nae9yesKxccsMMOL4jQhnpiElcvw5YEZ8r730XrtWVMW30K94WF7UdRQSbupyM5F+NFWb37DqCNJXalQ7q6Pu1Mqs/bhhZHb40POpowpHFhKXihdZV/Ay/HQduzJeIfjfWoiT8cvIpxCUasFpm0MSF1Y05emX1aMTKwguye6ABsTwfFxSr9yIZj2v3fWysFye8IWm1HY8vYrWKILf5tpwMZJ4YfHbykvmf2k9JwHcv34NH7Fpp6trqXxqr3GqfKNfhv5FLwG3flgKklAxHI9I0pZgvmU8nVFXN+vomo/URrVaG1gpVVVRFwWS6YDyesLO1Sbc/ZD6b88Xrt1zNa37rd36Pnd0d/sk//se8efUC0Kytj8z+dZGTtVoImTCtFJPZkqqu2dra4c6d+8g04/B0yuXVFxSFSQMubdKpsiip6ppOO6Pf7yCtt0jXNYvplHJRsFguqXHONYu31tkl0cyuzkwiPq0QaZeN3XtAYnQ77VzQINMWmzs7LC5MRvwiXyCkRGtNWRaUZclsbvIH7O5sMBy0qeqCy4tz2q02tz/5mHani5CZOQpb1+TFksmsoDfaZHdni1tbI3Y310kzidaK5dUl7158yfHhHmmSsX3nAUlrQE0LKVtomZnIQmGiRpWngXZ7t1agampRIXTOfHrG7PyEp9x8fWvW/WDBcwqrFfIE3itpyljrk3ZLPw5qJyjeQgRFV8QKsXDJsxvPPBxgrBrxjWghedpFc7FbcwRuSQfCH7yIznCwmizPLXSnqPpMnlHjvi3PQ62C4ZWMJumJYXU7QKQQuCzyZpE6khmXDnDFNQts8jaE9aKb0gk2VB9lsl1L493PrJKqtLNoKasAWy+wFnb/baSkaSPcO8ag0VS1prTnrRtC4sk8tfMuu5G2nhhNUNCEsPnx7eAFEUT4vUZaB1MHKsRjhIyqJiJBYI6iq2oDf1Ubo8Lq5RIGegVQh7k3YAifDNLhhRRmfGurzNSYwfKREEo4JGkqptocOadqTVWH0EIV7TkPCeyaiqs/wk4plJCNqA1nzKjt9ggVeee9gosktUcPaq2otURbQ4Ddd+EtxTKKd9duMdo23HeJMabEiTmTxCR8iemD88w7q7UUgR5445xbD/63oxcBt1bXjOmbm8XA+YJQEwkzRIYypUlFTUtgk5kYfFN2bluJpCW02UOuJZkEkbiIDZNPIS8V4xy778vlYjC/l4WkrqGTmvGplSavQAmNrjV10iYbbLLdhfmypJMJinzG5fkp/a0hd+7dZ3k54+XBGPGwT3/6jqvLMUcXl/zo939Mp6p5dzzjr/70L/nTn/yCz5+/4rf/5/8Bzz79ff5X/+vPePln/zd+/pf/mCTLqSn58W99BpVm79Vb/vyXz0l2d9nZGHJnd4s72zukG1ucvD5hXGs26op2q0W/00IpmOc5QgjKuqbVaVEVOZfLJaUweLi7c4t3X3/F4wefhSgbHOqbfBRXx4coXZKIhIUWrG0/pKaFtgYwQ3OVSZCY9BFSsjzb5/BgTtKCYb+LSBMoK/qDHp2NIY8f3aeYTrm6vCDtpjx8/BE9IdFlSVFWzMdTLqcTxouafOMJvaTP5vqMLdmjrgqms5yzsxMOD045GZ+zfnfE73z4lFF3g/FMkaaCZWW8CIn3RDneoL3Rp8OSajZmmU9Q9YLFfEJrvXedyHx3/Uu7VkXym69Iyna822lrETlZrTeiTP/tX7EO8B4Yvumd/zoNNar/r1vHt5a/GejAMb+hnCPQK6RdEW+hw8uSbutZPCkmF5RjHUHBdizbOSqCgm/fi7dc6vfMc2AgIaxeh3fCp2iUNd9umlTduLPq9f4mY9H/VzgoVj5X2ahwj1ewPoqCaOrbzUiCRt32RyyTxnw4qLYRcJEcICAaCCuLOVlIhGceq0VUz8r9lUfNa3VAY+QQNxULjjxXxH+PcLHxphePddBdROie6Y6Ovrv/YUuh9PinfQ4cU6/2OF0rE11Y1SYhbuQZs0q8GxUZQPPik5GypBQkaUpZFiymY+qyZLS+QafdAhRlUVDXFaqqjMJd1QyHQzqDITLJeLt/yl/89HMupzmPn33I7/7e7/DxD37Af/6f/qf84qd/xWi0hhCaNE3QWnNyfMUXz9+R54rvffwJd+/cpt1qUyrNq1dvubi4ot3pIaVAJhKZSJMMWAtkklDXiqIoqZVmuVigkKxv34ak5VE2rDPnAFWMz4+p8imamrTTY237tp9NrbC6poYkZbi+yfzyiOl4TFnkpK02dV2xXOZoFFmWMBoN2NwYgCqYjWck1Ny5e4+s06auSoqipKw1i7zi6PiYtDNktLZGv6op8zlVVYFSTM5PePviC4rlnJ1b91jb2EFkfWqRgcwQMkMk5shApHUCC4dXdnurLqFeoNWE+eKU+fSKVuo3uF67vj0Zn9/v0fSAmsUgrSLo1k6g1mEthf3xygLqFauoLDivqHnmwqu10DYhmIhb8L8c3fBGAG1RPNoj7NSfm1Z4Qzlz9eqw1z0Op8LCr10o6k1MQ8TJvhxhiIhZ1I4k0Fbtlc/Qt8bRsRHsK0fKhgkAtFYkKFKpaAmFwpzVXilNahdEpZxCFfZhm5Agq3hjj+aQxiKYm9j6EGKuXZI4kzjECcamqwJ0UNYdkuLzptkRd0qum28hrGLvA99NmyoolzHvcp5+jUJVTkAwl1JQufH1LAgjvAszRqa+KIOCcBZUU8YpMybhIGFctEDYhCmuvyYrvo4j9ny/0O6QjACfFJLEEmZF8Jyb9lxkhyZXgkqGeYq3w7jADiGNQurC+c1YmmchIkKAFDYfg0IIZZmL8J8NThkJBGDwObE4HwQ20RhzLHw+LDMyGnjrnfClfDSEt8RG/YvXpo69CO6bIQzW2LjiddCgtBmJlg2BE9I8T4QJezNgaKpKUdYGN4UUpFLQbUM3BV1rJrk5PSEOkzOGAm1DOhWFFmgtSax3X2nQSlFrQaVTZDJk7+Vf093ZZTQYouuc7voa65sjqkXBq6/f8JN3E357+0MuD98yLeZ88tkzBihevzugc/8ZG3Mo04z7T+6ztXMbVWuK2YzZ+R5Cljx4cItnTx5Arnj75oh/8de/4rhU/Gv/6Lf44Ycf0BFwcXzCz371nP/Tf/JfcDiZsbUoSFspSZKQJgnz+QIEpFlGt9NmNpmb6AUknVGf/8W/9++yd9WjrHwGCDtVLkRQMbs6oRI1FRrVX2e4cQt0gjmBXttoE7tAu31a7Q0uFzkbW+v0Bx2yRBphQ0qqTFJUNfP5grTKyXop9+/cpS1bUOYsplMW+YzpbM5svOTl18ckv/0x20rRFQtUteTk8IizizOOz0+RmeDp9+7z4ZOPyWrJfFahhUm+2O6tk9s14L0vESqmlHTrMcX8gqKckRdzRtsbDNdGfHf9Bq/GQl/ljaJZUIev13j0De/E0UnhS3ODXWCyrlzMkQQ3wuGJ6XUIrsOz+l3c+PTmftwgyUR0PFZcAn0NElpMfX05HY2LL6ubfOCmPjTIvX1PhN9mOIJ8Uysr54kwrD7yW+PbE7jIx7BGReSAMXKBcwbQQAPQTVluFfr3dGX1nVAunhvXUBNbbsaJb4DB34jfuend8CxuTUOUZ8fOuR+7682IWCO9oSnLZr2x3t+PxmBF/GzCcq1/ze0yOprva91zOGB/h6/RtxuGaGX5+nY8jH5LR7Mzwam2+jI33XWijPnuZMEVJb8Bk8X54BB03QyKvnEmmAaNDhK2xTjZotbGk18pbbeoNvHaJ/ETXpMF7HFsWqHrklRK0iylLEq01gyGQ7Ksha4rLs5PmU2u0EqRJIIkbdHp9UFIKqVY5gtOLyYsSsVoY4vR5jZVXdHpthisr7G5u8XtO1skiZHbz8/H/Pznz0G0+Pv/4E+4f/c+RZ4znc95+XqPL5+/YFmWiKw0MqU0Mn9dK5JEkkjJdDZnMqmo64qiyHnw7DP+4E/+J+j+LYqypJWl6HgQhETVJePLM3M8tkjorZloBOOQDjKnAmoSuqNtdJKxmI1RaBLtjgTTpEnC2nBAmgg6maQqlmSJYG1jk1anZyIrRE2+mDOe5Rwcn3N4OuajT+8gZUKSaCopWMynjI/3OTvap9ttc/+jT+kON0CYRIdaSWrZQkgTBWE8+AqtnQZhsF9SI+oCXU4plpdorVjbvG2OJH7P9c3J+KKw4Ri5FUZ0cw91rKy4QtokXzLmAG97DV5zFybsr8AkAmFxTEIHz6Bb6o4B+HeCStcgJv6bcmzXg+msxx7sGDb/tiUBFi7/RIeApXC8XhzsFLOYJiQxMTRjtzoKzoShvScshkvG93x92iY6rM2xGlpZRLFediXQQtn9ZlBZk5Yh+MorTdiQd4mgRhsvVywC6AA31iCiHGcnEhqcIgagQ7SGsrihcVKI9ERdWpQw4ypR9qiy6wKI3Z2ta2p7BF6IDmiyFmOQEQ3G4YPMPSLhOZq2xiuBotbNsV7FK0OTzfsJwoQXuXtuXkSAI7FIF2oRIcQKM0aJtfBi50NpYcKoXMSEx3k7r4BWAf+kTMyxZ258hbR5MwwDyIQKSXksxjbGxe6j94YxEfqtV6SekHO8Kei4PADCwuBWg175Xrv5JzBjI+wpL9SZqs1Dn49DS3uGuyCkcTS4K5QiFYpWqkxmeuyJDbafqSRilNaIJCTSRoTMcsw2jUqxKI2CL6K5V0qbFqUgE8Y4gH3XjUWtTLLJqlIU56csVcWT3U167Q5aVCRb28zPTnn3bo+ffP4VO9/7PVrlgrOrMx5/9jHb3RFHe8fMsxb9VovJ5Tm9tRH3fuuP2Bxtg1YsT96h1IJOp8P3P3zM9GzM+fkV/+wvf4lup/zu7/2Q3//s+8zPznj+5i3Pf/U1n78+4HQyZW1zi3yZk6YJ7XabujTbelo22221rJheXiFTTdrqkLYTlospxVJRaUhE0hRztUbXJcvpGUhQVc3m44/JkoxEKZN01eGCsFtKOgOOrirmVcXxxTndXovRaI2N9SGjXpckl4i0otfpsbbeY73XoZtmqLKkWMwp65LZeM7Xz9/y+uSc8bLiWatDPT1Fcc751QnnZ+dczC7ZurvO/QeP2OwNaZNRFDnjyYxatNCiIhetcKpHEK0sn1Ekdcl8fE5SL6h0wa0H9xj11nBHN353/eauBp9u0GYdE/jAga2Afa2SBl+9qf4VPtJ476YyOvpc4VjRBvIbJJ6Vq6klXGvyGoRW3omUmVVvpFNsGmPX4FI3Q9Lsk/u0UXErzxpQ3VSdjjqvQ9u1faREMBJjw1Ub8+K/az8XTkmK5RIPUcSHG3zLosk1Bd610xi7Zlh+KLMq04XxvxbZ52fgpqtZpoGT7y0dCb3RZyNTgsaH7HvFP3pDW1kjILV7c1VudXw33A4ymP1oyFQ3985fAlaT+umo3XibJY6f2/VrnAir+/ZtHQYtA80WEbrplXFb2XsRxisehRWjkCcToW0fgQJeRnfOv3g6ZVSJ37vvFf6waDUhT5YSGieHm+LaGwFc9G1IvBfjsranZdn2dJCfBOa4PV0XdDttWq0OAP3BAFUrFvM5L756ycHeO1pZyvr6Gv1+n26nR9bpscgLinyJlin9tRGjjRmbu4/Z3N5BiYTziyu+ev4Vg0GX3e01BEvKsuLk5ISyLPi93/sdHj18SLvbo1IVP//LX/GP/8s/4+D4zJxkJZdWRhdUdU2lKpJUkLVS8qKiyJc42jPYvMvmvQ85GZfUqjI9s/qOsnK9rgrm00u0ECiZMNjcQaQtO/bC4ocZ71pL2v0NRNqhqi+QNmF4miRkaUbWSul2BFkqTFLsxGT+b7db3qGWL5ecnp7y+u0R+0fnDDd2aLVaFJXJyj8ZX3L67iXL8Tm7u7vce/SErN1HaU1VlpaWSYTIEDK1NFAjhJVvhZHKpVKkqqClZlBO0Sh6o226gxFJ8n555Fuz7jdQNgoRibOE+yRg2q8UhFQmjNeHu0eIjfPYfwOrc2HADQKzsqPGElZvSUM0iJJBbruIGn0SfpL9HqYIfE+2VizxTqkLC1j4No2qoT1x9R7VCPq4pjDGgTK4BSk8fAI/SiKGv8m4wrALUk80sKH19rx6jcneWEeWUB/1IPxYunoE2IR2QVQQQoJQ3ovqIh9Mn+OQa0LoEWEbhwvhD0gibJI+rCEg7FfS2uXSNPCZI9WEJ+DGamlOKpAaGwlAWMBhyBAybIPwhidtgbQeSUPcjcmmcgOu3TF9hgP5I/EUKJu13UBnsmO6vglMwkCESe5mTiYwjMrYArQf+3B0ou2pI9KAECY034SMByNJ2LSBnwcV8TF/YoCWaGt8UHZSci1NVI09fsCHNfqPQCxWxFWUkDj5yxyr6eBx7BG0MEq4mwMVYUXMPJV2I+XWjptXAcKohlgDBnb8pHah3xrlJUGjdEpdI1Rh8CIx0SvCAICyeSIk0uZoCEfRmP5pnzyyLjVV6XI5WG+TWxXalQ7bRbTd1+3qEghKJchrM+4iTfj4+5+SkVDM5hRXxyyuTnj74iV7J8f87t/6AZuPf8Tx2yMef+8Zo1aX08MTXu8fsRhusiM0t+/fZfd8ydr9D2klbciXXO59wcuvvuDT3/6Itbrg+RdfIzdG/Kt/8repxmOyR4842n9Llmbce/SYs3cXLOavmc7m9De30Wh6/S5CaJbLBbXWtFPJaNDj9OiYcrmk32vR64LMEnrdlNtpm7oaI9tbfk2Y9QX1fMxyeobEGFI2dx6QantagV1vwiabREqSwYDW2i4XJ2/Z3Nqk3TF78QbDAZtbG8zPLxkvxmQdwfpgQIuaulwyn8yZXJ0zmUzYO74kF5qNrSEP7jxlY7DB4eefU/ZOuDo7YVnP+eDTZ+yMNhkM1hCLnMVixnKWc7VQdNZSWr0eZdLxCTnjy1HmhIpyuUT0BLc37tDt9kiTFF3UfHf95q8GV26yaPPTygT+UWNLVih4s/Rxc3s3/3hf2VV+f/O7TYfG+yte6WJYd7r5G69oND2nMb+9GbBQzBu/rz9qyIOrTbvnuvF3pYwO74qogMuFEp+O4vhZYI838clmnEIM63svTROwXwMJRPQtknBoRMI5wS96Qfy6dQd9D09XddSu7+sN4FqZSvi5c6/oaPCiDmt8uDhWZm62j6mPiEFyTRS2tQY5ZrWZa6GwDiY/Zto15V+N0NjKKESdCnzXlTQOpiiCI4LMDM1NMIRxgJV1ohsfoRsCGiYfD5uDOzIwRN1z9/x4S22Tcgcc0hgvvT0kzt4J8MdGDPfbj5XW0VAGE4g7l6ux9VkIpPXotzsdWp0uUkBdlOy/2+enP/0Z8+mUhw8f8uDRQzrdDmWRM18suJosOTk7pz8csLE+pL9QpFnGYH1Eq9ulVIp3+/ss5xPubm2RUFLmOa1MM+y0+fFnn/LxRx/ZM+MFSSJpd9qMJ1OqsqLby+h2u7TamQ33N8m7W90Oo9GQ5WJhTs/SyhoCFMs8J18W5IucfrdLjZHjFSCkpFhMmF+dATVCSobrm0iZmmTcbgrtmtVA0u6RtJtb8ZQ1sBhHTo0qa5KNAd1Oh27HnHOvqorLswtev3nL6dk548mC9fVNHj55QpqmLJcLLs+OOHj9grbQPHn6IVu7u6TtLkJIVFlQ1wV1JeyRehlapLij6I1ErkP+NK1IVEkqCrJM0h5smC0VaQtzQtDN17co+tHS0xFqWiT2S0Q7JI1JYvB41yLYRl3yvphqxDZUHZn1Am1x35TNlG+Xq1Oa4oXYkAAseJbRN3ewCb8SYuLt3/Q0242wU7Ai4ucUAPtbRffdkew6NNNIZhiTIBnfDc1FXCBcithKSBh1xzSFCZOtSfw2CUs5qUWAN7RJlHBI+LalPcdduIF2RFEHoalJdonCrE24eiqUz80gIeyJceeiCWOIcc/MI4PgibQefoyy5TLz17ZcKpRHy0RGgp3Q3gARRj26RMAx73EWsd01fHrDi3RKLAi7J99Aafc8iTDJph/WDOQVcPO71JrMj6edPWHaMfkusJ57N97SrhmjVIfxjXLhW4KQCAHSJDIxGfelr9ttyBdIs0U/Wr1ux4tEeLNFmFPjnXd3QjIcc3JDJiBLKkBQKkmpzFF/le2z1q7dCE89phEYtDW2SGGYntax6m/GUWhNrSqEdsn4pA8BlShQlSH0drtJVZkTERzcUpiQfimEPa3A7YEzySOVU0gtTCYKIBgEtDdZGLxJENQiWNC1XThKm3B/pSVCSNZHI2bjF1TtLpkqmV+e8+7rl+huwt/5u79PXaecyg3Wtgp61QUXJ2e8fHXIV28P+MEff8DacI0vT54zzwtGSYKUgvGbzzl4/VNGtza5Nch4+/Il3a0hz548RM9ynk8WPOz3uHX7DpkW7L14w/75GdQ1VV2Z9VZVqLpGJBlVpWi3U3Z2thl1B5zlx2ihyWtFp67JJwv+H//3/5JPf/RjRNVj7cHOihBhFP3p5IxaK7LekN5ohzTiH1IE+oeAJMuockVRFKRC0Caj3W6jy5o3X7zk/Pyc3u0hP1gbIquamopiMePq8pKLiwsuLi65mI/58PsfstFe51ytsSw1J3tvyYdXtHuSTz/7AbubW7TI0JUiLyrm0wXjRU779ge0q5I8X6LW2o2ItFjQA1BVRW+tQ7+X0W33EJWmKhfUVcl312/wEu/5HQkiOma49p7nqfE9/2KsYsTPnRASKxo3gxHf1Dc9W22OsA6ahXTzZ6y9icYDe29VkoCmchd/j3ogRLPnseDUFKL8O9dHSl/762SNQEmd3CeuD4x2slFThnDvNIwY3j0rgjyi9cp7TbhoPG02fm3YG8+uj5sfbg+0+7UCJytwxaEDN0xVc8xXplPY3up4/Jtb3UI5Ixt4EDzI8aiCMwAJEd2LgArNB8XVrR0jW7mlFXvWXVdCFCrX5lRHba4MghPFI3xZhb5hUIGobQ1CB3GysUbMDjHHz+NTBRpxAR51wzz5+9H0uTq9NNMIc2gucB/xIpwRy56FrpWfJ+Nj0o2oSB8hegMVMX1oYrvAyEbXbJi2AZcqTAt7DJuqqMucrGO27KFqjg4P+dnP/oa14ZAf/fAzRutrIFPKWpFXc/YPTvjyxTuWRcFnn30fmbWZzXOWRUm7k5EkML664qsvv6DTEuyMWmS6IFEVaS1pyZTt7R1EkplEeosl4/MLHt67y/b2BmcXl0jZo9vpkCVGYqhqo9D3ex3a7TbT6YyqMoJYksDzLz7n1oe/pD26R54XluyY8U6ESSR+cXFMPp+YU6myLoOtXXN8Vm3xzBI+IUzUrBQpMu0gk8zmc4K6ViyWBUVRMJlcsTnssTbs0e6YPfRlUbL3bo83r99Q1opWu8v9h7sMN7bpD0fUdcXB/iHH++/YGHR5+vgR6+sjZJpZWd+cgLBYzCHpILIMnbRApkBiHN0Yw0RCbXUqTSoqpNC0223a3YwkkdR1QZW//xSgb/XoB+aAVyrsEBEfH4f2AZpotxA0uFBgMxWrhLfJNnzGYyf8uxojTHYKu3YJyBzRbRCXFaXCMfrIEqe89dUQplgddAvR994hkocz7PQQK/UKbLRDJG80GKoIBDsmrI7MeSqjI0+wbS1ip42RC3MB8WgbBdoSKOHaMzYt7QSJeJCw3m1t6nEMxIR0m3ESCKQ22wOE3VwUMztnJZMYr6qypmOhrRc3Ip4SeyauDtEPjjDHA6rQNsGfxh0fEowPjeHH5ASwWGDHUbj5sONrBA/TsN+oILTNE6A9A5cCZCoxirsdX1u3QlLbs+61dLC46III5zAnDziruyf82OQpifSKZanMWAeV0mKGgwXhx8fUX5uS1rvtjA/eXI9jJsFI5bafuC0d0irKQkAlJMqeaG9CnMyEOeZk5kvTSxRrrYpWagiPQJCrimUlyEvJpE4ayRBjHHes0uX7cHjp8hU4i6t02GAtqkLVoCtbQxq2tGgFukJjjUpKUAFaWXOGx3/TLbeOlDZltcMNv7fN4ku0PLTFXc9MpD1C0oJndxigFCYLLCbhTaoKJscvmC2OeXz/Cfl0ytneG5Jewoff/x56kXN4saDsQ7+6Yn5xxbu9Y/JWl7//x3+LmRLsvzvm7cERm+sj9HKB1orF+IQslZwcXVLMevQ3N3j6+B7F1Zwv3+wz+OBDPnj4hHoy4+WL1/zpP/8L/vAf/gMGWZt/8bNf0mu3KRcLut0uqqy4mkzIuhnrO9tsD4bsv37HdFGRIFFIvvjpl0zmBZuPP+Hxs6cetx3NFgiuDt5QlQu01CS9Id3u0K1IT4/MurDzkqS0+uvoY6jrmrquWc7npN2OOWqrlfHk2SP6WZtyNmO+XHB+dMzl+IJcF2zc3eCT3Q/oJANO9i7IBxvosiRJanqjPj/47BnrrZ4xidUFdVlxfnzCxXJO2dtmkK2j8wPS/jpLayDzyBrRfhNFUrE2bJNJYyRZzo0VfjqfcJfvrt/cFThmJGY3n4trRc1P4WSAm+qNOGqsLNxYNpJeHC9r6iHfBHYQBPQ3vtHsB99cf5AeYvmqOQA6fhTJEqvNhZV9vZWbv99c0slFVqq49szxNSe/xeMdK7Q3dMXydC9s4Piar6uhwdGQFTz0+oYxXQUp1B7KRvPScHQ07seXuOGr5YiREScYGgOixEPTrDc21ER0yz27CVlW4FrtT0P5jwq6Nnz0pi8nwnMtvP1D3zRf1xpdvVYKW6bqde+VteC+mGPpbKZ6KZB2y6LGOBxq5ZLXRfmndDQQXoZoLk9HYYIRwIuLQYpZSVygCXUZuTmqHxeNGcL3lXASm+uy9nhKVJeHytGaFTiFao6eiUx1DNo6OIX0CcFUVSK0pC5zri4ueP7Fl4zW1njy9DFJknB8aLLUJ62MoqhptTs8efwI2Wqxe+cOIpFMpjNqVdPrdaiqgrevX3G8/467GwMe3hqx2RfGe15XtLM2g+E6Mkmp64rDg31OT0757Ec/5o/+8G/x/PnXqLqyR2saWaCqKqQUdLptKlWR56VNgmxcXO9efcVf/ul/zt/6k3+HVrtlIgWdA1IIhFZcnZ9QlwsEila3S29tk8oej2wcdzZiXBhHn5CSJElJs5Y98SpBygSlYTlbsJjPuf3BAwaDHgLFYjrj9ctXHB0e0RusMRqs0e4OaPfWSFod8950wsXpKcNel6dPnjBaWyNJE5TWlHVNvpwxvjynLAq6oz4iaZnTf6xjyiV1d/KoAhKtTDJF2SLLIE0FZVmSL2csZzPed31LMj7V+BUvYO9NdzejD7cn2tyLiJkt4PbqhmySgWyY1wxXdvtzIlpnL6eGhnDa8Dcc9eG9/EIjVQh1BkIITWOxehbU4LPNvto2hd+8YIldIH4yHiitV8KzHSlaFVi0f0akWJk7AUg3rO6XtpMRskS7dp2RxLFuM2LSqVCWosfnl5vwfHCJ0iD0yZkmtIesJrFjUaHRQpo95ihzPr2Ayu35b8y9H0Vw+7S1sq3bfUXCeHATS+DiZHfujFDjSRXe6y8ktIQgTQx+lUqh7BnzboK8MUjiLaEGfcyRdNizK0EgE3NMmhYaXbsZUPYYuzDTjqILAo9OhX3Pz5O0RMUxCUNgWhm0ErMOKiWYFpJaG2LmvNomqYoJEXeMQwphDTBu+Qam65Vyy4iMoq/tVgODm0aVr3HGIOepkHafEx7n/SJGCmhJxTBTrLU1rVR73BRAhoDUWCnTWpjTAjR+G4uPBHJRJbqJ14EH6wCX1sbzrGqUACkTC45C18pLAFZnR2rHECV1g3sbZucEFk287o2AIAjbiUz2WkAk1jgl7FYUs3XAbYVxbTvpSDujiJQkUpCVM85P9nn80SPW19aYXp4iOl0+fPYYsax4+2qfA7WFfv7PaW320Nk2W9//gPvdNourc0gSDt/u0V4bcnE25naaIPMZk+MX7B+8Y7Szxr3H97g16DA9m/D8631+tn/Ev/tv/ltMj0/Ze/maL7/6mrvfe8bTh/fo/xH8yes9XpzPWKDIZMU0z03uhiyj1UpRVcH67V3k2QVC1Iw2tpidnDOfTDktJB/Y8DZHt7QGoWrO3j1HpBZfOj1a3SHOMOzWFNhtFPZ7dzhiMBiQdVLW1gYM2hmJ0FzML2mPOtze2mI5nTO7POPg4IhZOePWw1vc3tyk0+pRz+aMz89Z1kv6y0MmRcHu3TU+/nCTjU6PjITlckFV5EzHU87HY968OWaxVfODO99D1QVKObxQnu463iOFpiVqeh3IUkmqEiYXE2pdUM6XnJwc8931m7xu0s5WnscFrgsODVk6nARk39UrxT3fj172mr2lfPbdELJ+UzA5gTnEv5sSevT7utrhf3ttKgAaPL83vLdiEI+b82A1xtQzzGvtNJ7d3EujEK7MUaMHboyFKw8RhDfVeGM7q4+dDBYHdMSQOtpvhlCEIIHGmEXlPd+Kg7ub/v4gpMY10Jwm9z0CdLVHzW0WovkRK6ZAUICvL4RGO6vPG4Mej9N7DAOhuYjH2XqiH/ES03FdjTpDuzeC5X84WTGOD3bfnfAoPE9JEyM/pdIY3912jtrKA+4oXzfvCqcEi7DWtWhAserBd4+cki8CqL5n2kHpcWYVB3Vc4/X+O1mrUWBlPcR44+XW6GYkh/ilbyMhBfbEIKVIkhRQLOZL8mXOw0cP6XW7VGXNm3fvODk5ZXNzg9FohMwyNra22Mo61EJSVTXHx8ecnV8gUfT7HcqqZP/NS9Jqxt2tLTb6XdJUURc147MJk6sZDz9sk4iEs5Mz/uanf8Pt23dYXx/x3/s3/hFXVxP+7J/9Oa1Wi063y3w+Q2toZRnbW1vIRHB1OTEJ8rKMu/fv8fr1W47230Jd0Gq1fFi7U5CrYsH06hSqnEprNkabtHtrxicuI+HNO8SEPb0qIU1bSKlIU0maJiSJyRmwu73J/fu30UpzeXbK25cvqBQ8fPoh/eE6IskQMkHLFlVds5wvmE4mDAc9Ht27zdpoSJIaybsscyaTS85PDpjPZvT6a/SSDJ200TJDCuNYNJHTwU0nkSRAIiVJ2kYnsCwXzOdjplfnlMv8Bgwz17co+jbUx64Nh38BbQWru9/Nt8AxtRARkjax1WUEt0Nt/grXwUD+V+GJVQRHrJoha00IjSLQzBmgiSIICAEzjYUsmsttNXQ/ZgOx8h4T61CvDjaPGwheIDi+U9F4xp/NETEIEc4WN7et0t54T3l5xtckovJC+zKOYTR6qm3osyVoKibxbr+3ZaCJS+hmyym70dqNhfHYGuoZ5fKP0MOFygsPr3TEHGySijAaUrq97sLvT0qlSeZXqRXrqsYfrdEYYNtZZ75JpD2NoMKOjQnxRii0MxpFAyTR8bT75sCMm0aa6AVMaJFTLrHLOBGadmKytddKWkOBNUZYAp4ITSJAYcopHa8csy4SYTLrJ8Jk6yy1ExYULurG4IvZz6MjZdmccFF7r7ZnskLSbSl6qaKXatIEnzdAa2s918bLnQropzVJpamxuQpclgYRtn/gmC7KJBrR0q8vgRMwapv53WCNENhx02YOnMdImjYQ7nxJAVrZkxeCMShGemUHVgiobD+cgS6RgkwE6oAQaKWNMmhx3M29Y9DCdksKu+FCmxG+++gJw06fi8s5ZbHkwbMn6NmSl8+/5ifP31KPFow6gumZJJWCqt6j1Irzs0t2Hz3g0d1bHJ5fMM0LUqGYn75jMj5m++59Pv3sCRu9FpOLK375xUv+8pcvkbdvcXl+ynTvkFIKPv7xZ9x7+phyOqE16vDv/fv/M/6j/+N/zJ9//itEW6DKCpGmjNbW6GgNomY0GtBfH7K9s8ntnXvov/oFByevmS0La/gwnU/seNbLGeVibOYLTW/jNt2sS6JBynC2b/A+GVqcpSkgUVXJ9PKCZZqCqtFS8/FHj0hKOD8+ZZFfQlpy99YOd+7ep10nFHnFYrLg4vSSo/MxW3cHbHRSbn14j82uOX5vvpwxW864OLjg9dER8zJntDNie2udVrkgTQUL2cFHZ1lJzeQJMSc29KjosyRRJXVZcnVxxWR2gUg1OrlJdPvu+pd16VX6uspv46+RLLca2tpgoTd89zqRvqFcYKL2t5e6GzCaHyvawPtgeM+9la44yGLNKKyp9+hS3nOOjqirLbkibjjHShhbR+TENZnkOuzN534Mmx0Iz3Xcv2icAJ9YOdKWbjQeBKLeqNjxS19zJFfEImisMItrVd0wQSJMv2lCNOSQ8J5t7YZ5vxbyzvU5a0Dl64haiESv5hJwzoSm4NqYixuv1XUUc3/Xjgj1+lKxUSvm3u+D71uuWBD0Mqr2g+5OcJJSkEnIEsisJ196p2HYIiaxDgB7pLRQLkrW1m+I/ioy3QTQe567Uh67mm/dPKm+Oi0ik4Zde40x/jXYSwO/V9Yz2shY0hk8lNlbLxOFoKbX79NttxmPp3z99WtevX5Hq9Wm0+mzWJ6yyAuTDT7NqGoNUlLXGmTK+lqL0aDHcnrF6eE7NgYtbm2vg4DpeM7eq1ccH50gshYfTBfU6pLxdM6nn/2IRw8fkCBot9v8m//an3B8cMTRxSWtLGMhJAhJ2m6RpgkIzWh9jX6tSDod/uDv/F0K9accHlwwn07Q3kln17tSVPmCfD5DqwqlBBs7dxGtHqqKE8Nj5Uwr/9bWUCMTg08yQSYJGuj1ujx+fIdOK+X89JijvXd0+322du/Q6g4wqenN0cTz2Zi9vQOqWtHv97h/9zZrwwGJlNRVyWI+5/LygqPDdxT5km5/jay7hkjauDTYzhFudDuLEhZvMwmpzU1WFAuWs1OuLk+pyoJUtt6LJ9+o6Jum3CCK8LuJZvabPbLLeSKtIK9deDeBeHvgGwvM1C/j2B/tlnx8UJqzTsdMTlvia2B1FtvwzFNm357w1DIWQE1rq+FQwaqpfDWhlFOJA/XVNmlE6JVVoLUy59eLGH7h63BBzdgyaNUYezOm8eF6zpNsmbJVcFymeL89QARvpdYuBNyOr3YhqpDa/QYx2RIqhN+5/pq/id0D7QidsHMg/Txq4rwFTYGrdlEI7nQAr7y7ELEQMp5IQSohk9jM9nZvjZtiu1Wg1ubc+tSeJSqkabeqscpZUA7D3No2hQjh3VKbaARlPM/mNAA7T1pbb7v2XmlpiXM46k1YL7rJqCC09HuUpbRn0kthcw84jycIociEIDH+aIQQ1Mop9Nrsz0k0ZQ2JljZBoTLbCGz9GYpMaMvczHGAtTIKv3JzaJEiHgeDD9pm94xiFoSi39IMWoJMmnorJfGJbuzUS2EYqUhcu5q8svvV7daIGI+V0hbbjeEhrFlpBklZa7QLy5KSLHHeItOgOfZQIO3+D4Ew+Ujs5EuL1yYMyoYfCntko5AkifDHKQpsGJdBXo/l2i5Dd8yjOQISXPSJFi4FgosMMNlZ24miI6FVZCxzxWI6p9uR6GXO2cEhv/jyBe31NZ48u0tZwsV4BtWcYnrB28MTctnie6MhP//ZL3j20VOW+pSde09QywnUBZ21AU9ub5KfH/Grn33OFwen/OCzZ/Q3ttj7+hWdQZ/vf/IR8/GYFrCsS3Zu3aY4n9DvZsgsod3J0Bo2N9YY9LvUZcV8suB8umSwsUmn3SbpDOmtbdKbnJBfXVLVJV2ZmrG1wslsfIlSc2QiWRYFTx59bAOe7Bpxnhjp00WglgVn+++Yz6eMNvtsbq7TbbURKFQCg1aHfDalrnPqBB5+9Iz17oA0aVHnM8rFkvF0xnJZ8cUvXvDZxhN2du7S7ghEmbOochbjOWeXl7x5/Q6x1uKT7z/j7sZtrmaSusrRdY1Iu+HIRWGMlGkiSKU5prQnFqTVknxZMD4/4+T0kOn8kuHOkO1bO3x3/aavwLMDRXFU13+NpAUi+SCuY5WLYu9FUoZYfbIqeTsmcsO91fuxi88/1JFIEskmK5J+LEncrDldV7dWWnGSIl549J9OsViNr1rpk1WKnCxwrW1NlOsnPAn8RjfvrbTiitwwHD7KcKVHjeum93xLNxkpIkAar6wC6ASoSP9ynRI0761GK9zcWdEYCwdeXNQ8u2G7QFxCBNACNOZbs7dBlm4A6BtsAn0N80SAxFURr5ImXDfBfNPPWF4OMMYQNEwIVrR1iZozCVlqZEIpwnrV2Kz0KzU3/vtmdTQVjp5cm/jo52pfY9oQPfNRI6xManOGGy2s4msEE9CMqIjWqfAPV0DwrTi5yySO1hgnjlI1WpXUZc5iOuP585e8er1Pv9fn9u1bDIcDFnnO5WTG3sEx55MZWafHs48+5N7Du8h2l/PLGZlQTC9OWM4nPL69y9poSFmXnF+OOTm/RMsEIQRXl5d0Ks1guM4Hzz6k3W5TFQX5ckErlaQJLGYz0Jokkcg0IWu1WBYli+UShWB9c4O8NtL2aH2dV68OOdx7h6orRJIYfLGyRj6fUeULdK0QaZeN3XtGhvbrzo6Ji7BFUFUldVXYLbUCKc3RfkII+v0ha/0u08mY6XjM5tYmw7WRCbUX5mjrqqoYTyZ88cVXfPX1S77//e+xce8O3W4HIQRFkTOdjDk82Ofs9JR2p829h8/ob9xCpD1q2uaELed+dpNu95MKK6MmiSBBU5dLivEJ4/N98rKk0xvQ663xvutbFP1V8hMQ7GZWKaJkce5eCP8PYeK6geGmlRByj47DPZX3srpM/OaJxoVje+bmCZkiTrDmy8eLU4dJjpm6CzEnKhe8UbFyFMKcVyMDhIgUQDdSGuNJVbVJmmbhCbulrfJgPevm7ERpjAa4aAFFrFRrl3BDaJ9p2GSeDEq+CymqHQwWGGWVHtNdqyQRQvyUUCYU2gsExltpFOwQouUgM15iZWG3Gf5t36WbO+f2tO8aXDE2NhfQK5y2LdzxEmaOXESEiSawe8uFqTdJ7P7o0p0nr/3Meu+rdiNs/1rm4cbDCxW2nwkm07/Jdu+OIpT4JCyOaNixDQQ+CKDChq/rKFxZa2N4QEMiTNhALSCVBl8qBaiaJBGgpd0LbpR9JQWFPU9PCIXU1j4pamsLlN7ypzFRCebYOGXxL8yvX3nOGIeZW7cqtDaRB72WoJtZYwc2kV2t7LmfZgyTRJgz6rU5Wq6ozfGNbqqlrv08SE9cA3UR2mGDjU5QATaBU8YlLieBtrCIxL4rHHmUpEkwmiUrgod060YIssQYD7TS1ErZ0L8grTU9INrjvjMMKZs80d+XzjAB7UzTzwTF6T5nF6cMh1uoakFCwcneO56/fMfTz55xd32dt+Ma1Rpw59EOIp9z+i5hf/+MMl9ycnbBp7/7Q9qVQIsrNgcjjv76n3AxueRH338M8wn7r99R9Tv8j/7H/zqTl+/4ycElG701Ht+9x/ziirPJJYP1NbZ3b8Gy4uTtHicXY2MAKhUba0OOLi9Aa6aXY06uLrkcL/h4ewtdVOikw6MPPuHdi58ynVyi6hKZdXw2fTTk58cU5cIYb1pdumvbJksughqX/8ZGmkhzeks1naFkxcbWiFZLUOYFVDUCaPVbaKWYza6QvZQnd57R0eYoQ12WLOYL5ssls2nO3/z1c04WU5RoUSDRkwmzKmc6nvDq+RvyruLO9+7w6cc/QOSwmC2pZAehKupaoZKe5Sk1LjLJLZBEVUg1YTm7oirnnBwfULUrHj14zM7tO/SSPt9dv7mroVhF4uz13yIQmJiwr76y+m5Dy9ErT6OXrylv33ZFUngs+Af9iCAPrNYdaw3uQzjCFwT9Vff5Te+LIAM4Q7yPiooMATfD/i0dvi4mvr+cvv7b3QoS5+r4f3OT31QmOEpj7NF+CuJgygbq3FCPF0sjnaw58s03G6O3OjWrv1fbW6k/ftZ874bB93UHqEQ0yDf1D6KxEO6+k5xXZGBgNTncjZcdOF/ljWEe2gfiXX8SNhA6JT9NTHSjr0mbBLwOn/1JRQrcfnWn0DcG362laJzilm9Gqus3V3F21THv73H9QcOI0oDDyt7XG4letoOmddN2I+zcWJknsdGw6Bpdl2afviooFzNOj48pi4KPP3xKvz9ASkmaZaStFmnWRmZtJs9fkZcVnW6PTrdHq9Wi1VoiqZhcXCKoTBI/BGVVk2Qdnn7yfVqJZO/dW5RS9Hod8uWc5XJJq92m1hXTqwvOjo+p8iUC7Y/7JUlIs4zxZMZ0NgchGI5GdDttBr0uHz77gJ/97EtOjg6pVGWOwRaCRAp0XbOcjqnzObqu6Az7dIfblBX2GOpw7LjHLqEpljNUscCFyieJ8einqaTbSamrkmWR0+31GPR7pGmKRlBrcwrZcrngcG+Prz7/gslsQStrIewe//l8wdnxAYcHbymLgt3b97j/9CO6/Q2WFSyWhdlqbChznGrbTLNDG6GRKof6ivnVAfOLfZSqGW3sMNrYJls5NSC+viUZn1MEXBZxi0SeevrgfvxqElivswz3XIkbGalFdOHVzIjQ2nedgq8dmbFqrFuLumldC/Z+beDw1Dl4q1et0r5Io/+O2MomlRSB+FyvuQlBWKhGEUi0alina13bPRnm+DKlrLqjbRSAUH4uTASdiEY9FgyajNscFKd9ArxVoiGIKIM2Sq20goPGhtwLE87sFOIAdRAwgmLpIDLwVfHYxNxRCJsZP2KensBLFEapSnFHc3mQqV1ftFGONZqWdYeXtaCoTFaJWrnkhSaJX0xkm2xG2MzrwoctOo9xbcfLHePnzjF1+8O0AKWEj/ZwjFSj/TFiEmeaMa0phY8OMPq7w3KjIDtluK2WKJ2Zc74tGkuU2XJgiYHJb6E9IxPWE19rkxtB1PjkglXtsm04nAqTGdZvmCMJtFJNOxV0MhPGrAlZ6quwrLHVslQm0qBW2h5Lglsq/j2D73heZ45DDMAIjNcXmx3fhViYOXFbPJyxzyBQCMuP+4D3tPt++nUAQkpfMmxRsbhvcSXgpQ0XTNxaMJ2S2uCxM2KhQSTQTjXtxJwmMbm6pK5qdF3TZsnpuz0uJ2M++MEzbm9t8/KrAxbJGutrI1oyZTpfIPtDdu4+oJMXZFkLkRf84qu3JOsPWe/1eDc5Z+fufbb7bc4O9ujvjvj4/qeM90/4+uCCf/pnf82P1kZ8WhQcHx+iBgPW1jbQi4K91295vXfILC+RUtLpZBRodrY3kEKyd3xMqSs0mtnFFfvLBR/8vX+b7O0e+SJnfnnGdD5lkA3sGhagFMXknLIuKFRJtvOANBuiamcgwzNTlKaWigRBPp9zfnZKzZThsEu306Xb65IArY4kn+eMNtfZWBvQTzNUmVMuZixmMy7Orjg8ueRXn7/i9dE+cq1DRYbSksnFFacXZ5xNx2zcXePJrXW2NnYRJVR5zcnxJfnWOgOVI7sDkKkxHApBoo1HqBYG52W9oMwn5NMrFsWUwc4at+7eoiO6pMJsO/ju+k1eTSFbrH5fVSJEYNtBpvdCA146vqGya9vwbrpWAbhJe9LhSyzXBEjFtVeaX5wMFPPKSC0QXrqKei6i5nUoHxNBdCPYMZxRvgpfPBY36xqhZCgkVm6tVPjt17Vy12ab6wO+Ws5FkYobSkf3dLOPOkINL/N+G9iRhhyUYu3rc235RGmrdb6nARH9vdbH2Bp901DchI+rt1ZhCYKML69VjVYakaRo57xYiUq4uRMrcAodvdEERnuBQlt4hH/F5TtyDimhzfZJd4qUEy+8/Gtljlq5c+cjh48Dc6U9vz5iuL4NT+Nu/Trl3cKImo5BcmU0+AhIRz7CaDdlYuEFupgbOfna4qE00paqa9ppSprUFIsFR3vvuLyYsLO5xdponcWyIM8LkixDJgndbpfbt24zLxRvDg6pakVeVhRlzaA/oNNJuTjL6XfaDPo9hJSkWYuN7W1arYzZ1ZgXb4+oswGbu3d48/Il3W6Pfr+Drktm40uODw9I0PS7HVKlEWkCy5yiUkxmOUWeI6Tk8mpCfzik3xvSf7JBb/Cn5sQcm6tJCCMz1qqkmJyh8jmqVvSGm6TdNapakQh7GpJ1yLjjuFGKYjFDVwUCSJKENE3J0pREGsSpy5JWK6HbbpGmKVJAWRuHT56XHO7vs/d2j7OzC7QQqLqiLAvKfMnZ8T5H+29pt1s8+/Bjtu8+JOsOqStFvphRljVa9iFNjBxvcVWhEco4f03SxZKqPGMxf0txdUiWpQw3btMdbpK1e8Zx+J7rW0P3sUK226MTzqN1pNH72xuMNV7QMWp65AzY6xU+tw7ikHyHsNdgsgTJe6mBEGLlzrYOST2axkfnjdPhPYRPItdYdp5e6+sKc6Qk+DByuzKFsPuAXYuqRhVL0lSCTq3w67yo9nvkfhZ6dVG7uqQlzioCUHii4QKvm5ZZPwohPFmEMHYpvc/cjJkI4ciNgdBNscRFVygHsx2LmChroXHR1H7qounUgggmU4tLrlEr50m1eGDbkQIE0h5rFpFK2+fS7bfWKmprNaixueHCAmKNGtpbQmVijmJbFlbFlr61BpE2hidrlHInA2hr+hCmvkCTzXpSaMOwrAAmpbU0Lq9QrTXqtG37p70wouxcOqYmXB+s4u8Tk7g++jUlEXbbgIRg9XbCnmMWQpMlxoCSCI1WkNcYy6UbJ4toNo0ZudaUtbKGD7PHyCv7OKIVjZeO17g1hwhBYo1A8WIVKI88bnmYLUE6GANcVbYF6a39NuIholnXBVVBKoIgHWOHsOvYOfqDQGSVf4fMWiKFtttLjPJfK83G9jY9kbC4mlFNz5ksZzz5/scMshanR2ecTEuy3S4oKKoCrTVra0NQNdXRCYkATcX2xjrdrfuIckEmNYu65nz/NQ92e9za3ubq4Jif/M3n9O79CD3/C84PT3nx/CWlKvm7v/075JMxlxfnTMsl27d36XUyWp02iYS8LEiThNdv9qhTs01GA9PZhFbSo6xK2kPDKJfTK+q6olTabhvRJHXNdHxiEzlKepu3SWQnysuhPT3R2m6tQDMfXzIYden2B/R7bXrtNlLX1NWSuixJ2116WZtUCOrlguVywWIy4erqijcvD/nVmzcMt9e5X9zirJyynC64OLtifHDM+eKSzftbPPvgA3rtAR2RspwvmU5yiqSNzgakdUWuBbVngcYTVNm+ZWh0XjCbXFEsxoiOYGt3l0F3hKg05WKB4v3Jb767/iVcIiIo16j5e1TBBsNxAoeTsCMh/5qMYQnCe6V4HQsHUZEVSd7eE4264nK6+bqO4BOisb2xKTc5SuTKO9mHVUIW+JEATUKitcmFoQLdd1stfZ9EFJoe1+clnpXrhiG88V5Ux/subxK5Ps0r9TuiHWBujN8NitWvCwOWJ/pX9Ypc5bsYlDHXiHPGgBfnjLHb1xO+RCLadQAiOTg2x4e5vwk3ta/LO1Oip04uEK5GN1ZxVQ4uad02xRKtFLLbN6fKuDxX2rcYcG+lD9eddzfI86GWqHv62mOloMJ4UMNWyxCr640PVg5StfbyjbKdaqCy111Wx5Bf7168XvwzJ5PF0nA0Hm6wVibFbftsEq748L3Gw8ZH031l2xVNiVepCqlr2lkK9Zyr8zOKvOTuvfv0hxssi4rZ/AotEgZpy46pIk0Tev0e6xsbtHs9lJBk7TabG+t0221m0wmddotOt0OSZSQk1PmCi9NTLs7OubicMP/Vcx7ef8DmxhY7Ozt0u12qRDIYrpEkKa1Wi0QukBivvkwSZvMFi7xEKUilYDpbkFeK49MLylpT1yVVuaQqc5SujeIuoK5LFtMrVFU56qKuAAEAAElEQVRQaeiv76DI8M4jnIMsjJiqKvL5BFRptgmnqUnKJ0DVFXWlkTKh0zFKPtpEgeoappMJ+3v7nJ6e0e92Ga2tUZQlVZ4zvTjn8uKcq4sTNtZHPH72jOH6JiJJqZYzY1hZlmjZQcsWWrYQwmynVLXJ46WFjRzXJaK8pFgcIIoL+oM+g9E67d7QHAkooKr+Gyfji3FnZSHaS7r95J5axGmXnNCuI/4RDARxNIAg4uNWlRHahV9bliPsEU1oHzAQG/FFTOTs30BynVKtPVyNsH+tw7JvdDyEjXvG52sPPZWsRCRoF4BhguITCWkmTcgz4PdiOCXGCQVxDM5qTBnx1xBm7V5LonLuGDinHBtlWhAr70LKptfTEf6IyXsbUSwsuWm1OQukMJ5kB42BR0e/AsJcExmE28+On0MB1DIabzseSplELIlt2zFQjTE2JIlAaGOwEUJTV9ajrnEt+LFCCH9kh5v31M5napUdpaEqBXll9pRLiwMVWGXWzLk/2V3a4wLtGKoIP327aNzRkFqFCAiBjVhAQTWjEm1KMTA127mNGZpR0h0eOsJuFVwXoSDC0TPCrUHriXVGsLC8jWEjldobUMoKCuxZ8XaufI4IZcPFlLA5EJyg6bz/3nQEQprojLCkIoOY6z2RsOBWkg3WV8Eg4XHXVlfZbTpGKHE4q61wpAFpEgXaPeNpYleMiz6yDNEQf+eBNlFM7kQCAWhljCwu/4Nj2M7wkCTYaASzlaNVz+llc6pcU8wnTMfnPPzoKaPeiPODAw5Oxrw4vOKDrXuAJs0Skl6HxXTCfLFEdts8efKAflFxiGa4dRu9GHN1dkzRT7n/5CO2U83Z3ilffPWGX7w65uPRkt5gjVTBzz//mr//j/4YUeTMi4KNW7cZDRd88dOvyMuSPC+ZXlxRaM3W5gZFbbbdpN02de2S9rT4s//z/55qUZP12nQ6XZIkQ0qbvE5IWMwZn7y1pErSHm6TJmbThIjw060zrbVPViilyfYvlGG2V2eXVCx48sEum8Mh7VSi8pLLqzHj2RWnB6e8OjggGXb4oz/52+wO1/n8n35Oa7rPqN/n6uyEsqX58Nkn3L61y2Z/naooqOc54/NL9k8m6Eef0RVt6mJJa22HpTbr1YV5aq1RFZSiJllOKeYTNnY32d7YJKlNJAdKUVeKZV7w3fX/qyvWTuJrRekBXASei9YR9l5smr5ek16R8z1Tvl5/o/kmn7y5rve8698PtHRlD5Fj/St1OL4d6JJ77iLV0Bpl+boEElUiVUUlUnItDb2Trn/C0z3guvPDj6v540F09HRFiQld1teH8JpsEELEGwWvvRc9aA5Ko/8BsOuteMeFcK1q3/sGhFZuvdaFWCTTqxiifflQj4u6vNZ1glDFSvQGUcXhZiMYZQXlViWuIIcGeUrHQNtyfuZdpKE2+YLK2RVKVbQ63WbyXtsnZ5DSDmevI7u563guTRzy8Q/2eYxuLiGzEpjEytrJhtom4Q2yQuzUUToo+fGzXz9EP4yiuOFeuBOXsTJIZDyL32x+c0/DvAOE7RCBDoRiq2038Suu3sk4PgeVqkgpSXRJMR9TlwV37t1luL7NeFrw9csXHJ+c8+jJY2SSUlYVSmmqumIym7G+tUV/NDJRvlnKYNAjkYLLs1MePrjDoN9DVTmXZ6e8eP4Vk/EVd27f4vbuNl+/eMPeuz3+7h//K+zs7vowewFMZzOquqbWdoupSBAyoSorNJCkiZVFzLFzi9mYVy9fI4olUivKurZ0zchw5WLGcnwK1RItUvqbd6lIfRJxFyntZHaBRpVLyvkEoY3ck2UtpDD79qsyZ9Tr0e916bQzJIqqqinKitOTM06OjklkwuOHD+l0+/S6XS6vrminmsuTQ/Ki4OnTp9x79Jh2r48GlosZ4/GYxbIg6YyQrS6VaCGEO9o64KyZXwX1EpFPaFMwHI3oD3qkaRspE5OAsMpZzqfXsNhdv4ZHP0JEd6ScU96vkRSHkYHg4PacOzLjMFO4kPx4OamVZRPjb5Qq/QaiL1Z+BCLown3M4MWs3YkKoTXhiY2lTAhnANARTI6vekqsuGEJ+pbAJLp7pKYsjw85uft9FkISlrplM+6IJ9GEqXm53ABWDfFRD25O4m0FTsCICQmN+h1hDxbjqGwYleieJey4No2v1tBcx+UFmMPx7JSrBlNxApcTKFztEuXD/M0WBrulQGh/7JzSUKqAeV7pxRgCSm2UfcMsNaXDxSjEwRiRzC9z5Irz0BoGkZeQu6P53I5/N/+16X9gHMJ6o024r1OkK5+p0G4jcKHOMdMJvA63z1xojc7HVKoD2ZbZyqBtmJr32Me4K2w2f+d9DivIR2bYtsy2abN+lY4DNfGhTw6+WrveYfHM4GdIRuhC8kWU/8GvOr/WnNddoWySE5sFVxuvd62ITDAWGrsG3bGUSgWPiGvFbU0xZU0+CSmgRlNhvPQaqJWKIk5MjgN3xKALThCOqPpfwo+1nRrPaLXSfpwcgktMqH6KNXBojVhecHVxRJoOyOucWw8e0E8lZ/v7vH1zwL/44i29Ww+p6oqslZFqxbwsWM5mXFxe8tFv/5D1LOPP//yvaD39EWmrQ6ou2dze4Naze+x0O5y9eslPf/k1Z/Mlo7Ue7WGPDz56xHSeo9eHPLh3l0G/B3XF+OSEV1++4J/9xS+4mE4oyhIhYNjvM9y8Q158gU5r1rc2WFvb4PadHbppi067xWI8Yz6fINIWIklQWiKFMc8txxfU5RysN3xt5wGJlCb5pxd4zGA7aqeWOcvJEVmWUBcFRQKZbNPptclVzWBjm5ZMoCyZzqZMxlP2Dw5YVAUf/vApt+7cY5AMmByfsFhO2dnZZDwpSDqCDz5+xq21LbIkoVrkFPmcfFaQ1xXtzV0WnV2krkEr8tr0xS1E5XBYC5SqEaLkzsM7DNop7TRBSk2Zm3C8ZZ4zuXj/ubXfXf/tXy7HSIifW3kOxKqOUy6CLECDDwkROQFsGU9mAimLnq0IHbFotPoeq0VXvbIr773n/k3ez2aQwQ3C0KoUFUUuSqBVF/TVlGR5ybIG2d8l112E36JoFQQraQpP62iMh4fPDrkb+Rv75JlNDPx1qclJHbEE6KbtfXVGAQ2N+7ohiMYPRQMvQgOuI7oBXhzRJbgZHt34jOQlr9w3t4XhZCAdGReiSldl6waYwnmvhWtkBZhIBliFUEdP4nGy8oMzfoSoioo6n6KqAqF2kUmGO3HJBanEMrOO+vE+3G48dGMSRsF/930RYTQq7WRvQi6fa0MQlCTt6ovw7z1LtAFSA5esMOXXgUc2RwAC7KaeVfzxgAREcmPmMeYaBaI5RzS+BwnL3dGNV01TBohEg6gLRDWnzmeoYkm/36M/6FOWJc+fmwRy3f6QtNU2W4i1oKoV0/mSyWzBk/uPaLXaTGcLylKRJil1uWTQa3P3zi3SRHB6csHXz59zfHhCt98l63R48Og+Z5dXzBYLtNAUZY5SJdPxFb/6/HN+8eXXHJ2PGc8WZktokpi8XUobxTvJaGUpnU6L9fUR+XLB0f4eiZCMNrZJszaqrklEgtYVi/Epy6szqEqyVp/B+jYyzRD2BKdrdFprytmYajEmTQStVptWlqGBoihJ0KyvDej3uiSJpioV09mMk8MjFouCzc0thmsjpEwoq4qyKMiS1HxmCY+efsTW7TskaRshBVWxJF9MuTo/Jq9gc7BjvPlaIoTJ3m/0Te3zTqBNYuBOK2WQDel2jNNYINCqpipLZuNzTg72+OR3bsbtb1b0Y6IA1mvnkNphsRksLYL31nssm+nowl9Xrw97cRb3OIQbe98t/bC4GgqpDmQiAsjwN+E8psIuTqOUurNJY2Zi3nQDS+Ae8XJyBKy5pnCGBDc2ob/OQwiyyrn8p/8x81/+Fe1/5z+g2H7U8GKD8rmgYgYDjlAZWKSvWXtDicJ4l8EmYINIkbuBmeowgz4qQfipNAqifa32FAovqHjLt3CeYdt3r+SbLJ9uTKUApUMYtfEQCx91d40tRQqYD/lWds+50gijRRjlNVIUjdfVjaF9022JAO/R8EX8oGic57eoHZ/SIWybQNvdnEgrE7l5SG06cY1NLOi9SIagKzBHtGHWio2laApRCISuWcyuKHsDWlL5eVd2UDSqMRtCBNiclOWOl3FMqtYmLNl5e4SDx68tU2PtmKMCJd3KCSNmMpcG0dMxUtP26mrC97tSZgtFIsxBJBYNTJi0iyxwKG57lvq6Qo2a8Fzp0K4zkuloMFzEg3bRDQ7j7Xu1gwMM7dJuNprtCUJ0gjvNIiQcNcYFkyfAGC0wmMTl/guKasGw26HbFmR1xfHeIV+/Pebl3iEf/+i3mV7OydIEXdfUVc5yNmF//5CLxZJhO+Pg7Ts2Hz1kJtuIJCVFkaC5tzni7NVzPn/+kv6tDX6wvcWb/Qmy1+Pjzz5A9Pr84NNPGCaCydkJJ/tHfPXlC372y8+5WlYURcFsMiUTJmPt8eEeSEG300FmkkGvg6xr2v2MRAve7h2QtFs8+OTH9LrrOEEqQTI/O6KmRgtBIROG2/fQ2uW4CCGb2kZYSK2ZHbxmNjmk05MMB10SS9fm8zmd7R79Vtck2CwqLs7POL28JFlr88nDJ+yMNimXmvnlhL2vD3l1csKDtR0KkfO9Z99nZ7RFB8lyvqQsc+bjCYd755zNp0zlgO2NjxB1QdrOyJOenVs329qvYQ10ex0GHWghUEVJVZbM50vmkwmTqzF7e6f87j/ku+s3dgVeFH5HPFo3eWYQwSOBWTffvaZY3NTkN2os33Bd19W+5YolpfdVGUvzQalygr3jA17OElheKJFCkipFr1qwU485+fqfc7h/wM7f+u+jNp5Qy9QbyD3/DFppENdW+GgDXueVXu34tbFYncebxyLMaaD+4W/MEa7XE+Bq3teNcQ7txNEIPvpDBD4ZGyuDS92NjQh1Ry57TTSEusld/H59W1L4voogZDb0v3gQgwyunfzZwPkbUDcaBr811G9z00F800a+0Wh0XaGKuVX0S4TohDUTBCi0t4o3VqTtp43cC+oDTQtZNF6N9Yk3OEUbhC2uR+95UHT0qvAwXjfQhfaatVqQGmOOlxmCsNrcwhpf1+/H1CWemWYTK72+4VtcW3M1OFko5H8wcLqtyFoX5NMz6skZqVgYHSFLGV+Nef71HifnU548fcpgbURvMEALiUJQVDUXl1MqJej3BwgBeZ4b+UxKEq3YGPYQdcFssWA+nTBaG3L//l3SrMVyuWB9OOQf/uv/kO2dXWQClxcn1JXZ0/7Lzz9n7/CE8/GERVEZx0qSMFxfNw6aWvlTk4b9Hu1Wxq9++Qsuzs7p9EY8+uATOp0eQimUkhRVyfTynHI5A63oDod01jYs3tlx02FNawRJlbO8PEQXM7I0MRGGIkGpmkRKNkcDNtbXyLKMspxzdnrC6dEJ7XabB48e0ep0UJVRti8vr/jV51+zvb3JxtY6d+7dZnNnB5mmaK2o8iXT8TmnR3scHx7SX7+DTNuU2iTbNnm2pJdh3dbjRCo6qaCftOikHRJZoOsarWtUXTOfXnH09iWnxyfvwcpfK+t+uES0cAzKqqiUU+xjYdlSOA1gvNUKzKL37rTwdsjXb7OUR0qaI4SOkjTCjkVoxtENsx4DIZQieAHEtdUYFq6IKovFChe27RS1pkVXRwqrW6Da908iSNFk4xl6fEUrYsReIYz/Ok+DZT6uY25R+3HTYXz8PnD3Dk5JFX4sVEQ1arS3agtLEEJ3Ikbuygg8wQ2ChJv/QMaM0qP8+1qb8+x9SKFr3/ZD2IUn7TYAZ9lOMETenD0ASrjwfoGoNaCMkiis51W5qpX/K0PvQWDrxDMeF97kQs4iOYYEl1Hdz7Dvq2ewIoTqx+GNgtp6fYOSmQgNqTu6Q4NWJlsoJrTe1a6riryeI2uTiVT6VaYs83Xz6ViPDR+3kQMu3FwpgRZunIMPzEePEBR/N2NlDdKGuEs70VJEwg3Ok2DHU4StHWbPtkcfL0i4LLjOIFTW0fjZ6Asi/BLaHqFo8UjrGM5VVdzikFDm6B3p1p1p1225McxOeeBq73GweKu9uStixe6ZKeeFTbswFWbt1Zg1KbVAKW0y3FYLDl99SX9nyLBd0k81l3uH/OpXXyHWu/zx3/ktimyds86QwfoaEiiLkqurK2bLBVIK5sslt+/eojpdcFkLui2Jnlzx4IN7LI6PePHyFZ/8/u+wnsDrr1+z8fQZJ4djCrHgv/vHf5t0seD89JS6qhBZxvpgjcnZmMPJlKVqMZ1M6bQTRg8e8/f+9f8px/+7/w2T5TkCSZpIqjznr//ip8yKApGk3Hn6hE9+/1+lnbTDqZ91xfLyCCUqyrpgcP8TsrTrdQSnGQRaIsiP9ikmb9neWaOVCsp8SY2irio6630ePLhDS6ZoUbNYFJxdXbF2a427t+/QTbrUy5p8tmQ2HfP29R5fvHrDne/t8v1PP2F3bRNR1ZSVOcpmPl9wtn/GV3v7DLfX6HYTOimkdUm+WFB3E0ufiFcFCZp2WtLLFIlIqMqaarFkuZwwHS84eLvPgoLudofvrt/kFSsX9or2s4OlQauW+Btec/dNHeHHqoz/bVq+WPnSVMVWbjTacgQzEgZ0qG+11etQiGs3nXHDRw5ERWph6FSiKnoUjOSCi6sD8ne/orX42xTDO9TShOUqRwTVjaMW4F/52yzxvnG7qc7VQQp33/fLQCBWbtxcz/V6Yy4SZtw7W+O7K8Wu5wRygmFTAfPSYHRfN95npXyzj5Gf6dtQ8NcodB2rTeRoFDcg3Ja3UKc5X6lGVwWqyk3Epa5QykkajndGUFxfeqFdh+5WXmmCFA20oKHIx2vRy6tgHU2mhOfb1+qLm7gOWVRrY8TeTzCiOYoHL1RmeMlK5IrbIhj38ebrOp43QV9xRhik8nKK9v2x6Yu1hmLB5cFrRvqcQd/g+Xyx4MXLdxweXXL73mO2bt2GJCNrtb3RqiwrTs/OSbIOSZpSVYqyrOn1emSpJJGwuTEElSN0yebGGrs7m/TXhmitef36DTu3bvPkg2dkrRaCiqrImeZLxpMpJ+dXjOcFeakoK0VRVXz0ycf8/h/+If/hf/gfcXFxQV2nrA2HtFtt3rx4yfnZJYKEhx98xqMPP0WmLXyy7KpmObtCVAWJgO5og6TT90cjxyKcEGaLbzE9I7/YJxUlWZbZvG2KJIHOoMvt3Q363TbFcsbh/lvm0ytu37nN+sYWioSyqCjqgsViyc9//iWv3x7w+Mkj7t2/x2hzhEwkdVVS5AsuT484OzlkOhmTZm3Wt2+jhUki7CJQmhHuTn4yW06zNEFKY4SoqiWqXDAfX3JysM9yPmdja+t9SPXrePR9e55YxaK/I4yGRqjGUvABxk7h1M3MkNBYNj6UzjerI+XLl9WePzbZYkxu4iP+bEi8Yw3CwOlD04gUD5ziF+4Ha3JgLU6BaLYe9ns5ZQPbn5auuJNP+IPdIW/PtnhBRXtxRdnpo5DeWhmTNdcOCE/wHV+JEcAowxDC6S1MXvBxcIlwhnVEHLFKTlMY0o2Z1K5/kSVfC+EJiYto8MqzU4Sswm/CmW2L7tMSrNhaLyx8QWENidV8kkHwSqMOwBlvs/CZD3zuAUdgXTIkocNYx1EiLioFbbYLaIwBQaxwemVfkXHolTYweVIuHB6Yyx1vkiXCHg3j5sgYRtyxdMaRUqOkYlnNkUJZj2OYhwCLamCl1oLKhma6SIhVWSYIGy5NnVFtpJ8Xd1RgOGpRiWbLoTozf7Wdc233zynbL0FINujmw61bJz/6NerGA7dmFLVa7bOOWo5gEaFPdR3FKIiI6cUMXri50oRzVPHRCW6jvV9LcSoNbY+utIYihcDlClQW96paI+jQ2v2QbmuCKKbMJme8PTzk/vce8ej2LS5Op7w9uUR2R2h7hGKtoNtfY2uzQPd7PHzwkIuvXvDVuzPSNahmh2zvrFOfv+Xycp/PfvcTsmLGyemMenuXZx89Y+/dX/DJ7/yQlqpo9doM10aUec7puyP++q9+wVeHp7QHHZb5klpXqETywe/8IY8+/jFroy0W1SWpkBSLgvFkytHJJSqF9c0NPv1X/odsbz2OIpdAVznF7IxK1+iqZvvuE5LYyuipol2I+YLp4QvGFwfIRDEcdM05umlGb9ij28/INJztHzGenlPogocfP2V7fQuKmjJfslgsGF9MePdyn19+9TXT5YJ0bZ2t0Sayqlnmc5bjKYdHx5xdXiGGLT77g++xtbbJdNFikaSIekHa7rKQJpwOrf02EbTZQjRI5vRammqRU+YLpldjJhcnXFxekKeKe0/v8+D2A767foPXNSHeL9oGn3PPHH8zVyQj2HDg8PubBO+bJH4RfazWvxqerwORaoRmN43DcbXXYI42ZPu6hW5AJiL8bcKmvfKBho6o6Oolosppd3qM1tZp1QVJPkEJSLM+lbDeZvcZt9vgRmGsV6C7ft00jHEVDRmOxtR8S80r13WYIukuKrZaLr4XgeeEDO2i9Vz0iPDwiagfLnmunx0na63030dCEviiP0HG/vYUVIdeBbk1yEtG/mniUeCUYb4afNP9s/KqcFtpPc4EY7lSirqsUHVteqY0LkdSPMauT06m0wFoj8aNwaWJw+5BbLvTN63fxjiuVBnJMv5+g8GvyBHx5NmbjXUV1X0d71fBEpHHOIIq7rsnBSLARYQLK/1rgH7tuYPFYoqV5V1EpwmyVVCXtKWmhQCtWCyWTMZTRmtr3Ln/mFkuOD2/ZGNzy/PBJElpt7skUrA2GtJKU8bTBUVRM+wmoGuSRDLot0GXtFJzQlSt7NZKaWTC/mCATFOLTwIpEwQJ7/bP+PrtKZNZYY7i1oIkyXj24Yd88skn9IdDLi8vGQz7DIYDjg8POTs9p64U3cGAj3/8B2zdf4hIE4T18tXlknI+BhSkbXobt6nTLrXWpMJEFktp5c9aI+s508OXVPNzui1zbKMUCikkrVbKsN+ik8LF2TGHe29IE8Hjp8/o9AYIIcnzkrLMmU2mvH17wM9+/jlJmnD//m0Ga32SzCQBnF1dcLD3jsnVBVIKRlu3GWzeJRvsUMsWqBQtEpQWXn9xuYxMVLFZ81qV1CqnLheUizHzq1Mml+cgUh5+9AO2dm7zvuvb9+h7Ye09iO6k7FXsXGV4GiL1jGB9cjUGi6oLkRXX6orasV4lEcf8EgifVwC8IhGrJwZmAStQ6IhIWuqqhaM4fiSECFCvjkigGwZWiWatWHBn/wvWlxcc1wWj+SH7z39G9wd/xGK47fl/RAtsX2KLqyMYDhmusz7h9m454q2F3VJhR7jhkQ+wy6jOGsfcncXXqeUmp4AfKWFDmWNhxX8PPXFj5kLPwan/ZrJCbIgZX5NIT0QJYYLyaIbB7VP36qw/QtDAFmBWFpeUWzC2wsDOXOuWOOHGzZRRziBkR8odPxjnQnUJHZu9dk8tjgqTxM2c1e7KCGs91J7hAlBXICrKxZSOtpnxI8ZhCL/2fQFh95pH40zYFhGXs7NtjTRYedfG0jSWtAjjqCGEJTbXfeV67mQaG4KEVF6xD+YnOwe6iSG6UaWdVbvmEof/Ooyq8NuCDFzJatJGV7M2OLvKyMM4hjUckQdWt1LE7xmcsO05YcvOj7Oq21bZ2FgnmU6hmHB+dMDtJ/e5d+seV0cnfP71AfuqzYef3Dbn0sqEpTCZcZfLIarT5cvne1ycjOlt30LILoNMcnlyRK4q7j95SLvIOTg65/neOf0PBtRFxeXkivX1NQbdAflsysnRPofvDvjJX/+Ko+Wcpx8+ZHtji//nP/0pSBj0urz5f/9XfP1n/xVHx28gEYgkYTQaovKCdrdNnUCrP+T2o+/Z7TYhiLKezZhPzlB1DVmb7vptcxwMgHB737Uf1/Grrzg9+opOX5jcAMM+KdJkAEfRSjRoRVnOKWXFp5/9gHYNooLpfEm+nFEUOZdnlzz/+jX752f0d4fcvXMHiorLywsuTk9583aPPKm5dW+be3dusz7cRZeYozZJkHVBnSQgEyPcOqOQkKAVnaRmmJWUszlFPmM5GXN2forWSwZ3hnzv8WM6yYBUdvnu+k1entB4od4ZB81l17QWjeJe6m2IKZHAH+3Vf2+z4iYqEkjO+0V1C+cNVb+ntUh5iGPlYrIkGiTqumKyCp8AEqQQtKUiUzlJXdLvdum0uoiqRCynaJFCt+/lHfOq4SqmbhHrFUE8WoXFk1ARYFntrF69p1e+iii520pd1wfKz49nAc0QxcboNFDGd+Z6/Y4veL6nAwdsOF9cefuCx864jUhkDOw4wOMUNRGdBh2i5xyfEg4gpJB+rMO6CEB7WxY6kmGIObt/T0rrUPHd1PitmJVCq4qyKlHKhfy5NWYy8GuB3YIXyRsN41TQIeL+RKJDDHwo8745XJkqHY+B/RqGXjd/W1rgJc+GcWKlqQZY1xDWQWM+haMlpqwB8Tot8OvCd+NmKhDLqg6Qhi3nBqOUi+x0Ub/OUJNISbfbJc01xWJOvliQZi36a32ydo+v37zi6GzM1s4uWinriBEkScr6aJ3N3R200oync2azOev9DlWRU6cCVRfU5QKBZjadc3xywZ27d+gPhlRVCcB8NqWuSqbTCXle8ObtHi9ev2Fna521QcX+yRl5XdNqt3jz6hWT8ZjFdEqSSHqdDlVulGk0pGnK7t2HfPD9H5G128agYMeqXMxZTMboqiKRKYPRJkpKlMBup3VJnTWJqpid7TE/e0OqFkjZQoratCETOu2ENIHpbMpics5g2OfevXu0Oj0jpSpFWRZMxmOOjo751Rdfc3B0wqeffszW1gZpmlKXJQf779h7+xqtakabW6xv7dLqb6KSPrXsACb5oBQZYUOoXe9xRLGqUGpOVV9Rzc+Zj89Zzqf01zbYuv2I/ug2rfb7Iwy/NXTfCOs68ng5tLIlbuJrKwgYWyAdTXULwWWZFM0XTHftYncKmd97LPBHWzVgCrTLE1Pta4PEPnNKTSAdcT1E3Et7jiCi/04lcfcbYkLQ5EAbL9+wrVmOUj6/6HKws41Y67NW3qPKWhFTvGHcCFWFdIYxMRS+De3CZL1xwHymREKRRfg4xM+HPNoqXXRAzJlcsjFN4zDFaB5dewFq6UPWYs+9HemI97vn0jF3rHVam7Pi6xtM+k7hcp7ZYPG2VncLl4FZ4WycxmgQDA3eoEFToFI0mZ4by5ogWPptBNGMBJNINE92m4pWyuQIEG6/vvIWDGXPua81JOWSVFdUs0tqZc6st9k5vIEhyLUiYgim/z5xsn3N82Sc+h4xOdtJty2lOcIO/sDAV/HUbH1YEbYEuFR5QsvIKIY1OhGNd3gVX7+M4Gka+xBuOwYIqUgTu+9fmOSCVW3D6P37yi52t4UgEHwdRaL4xiNe7oQhP7de8DXCweqJpQLhyUZS5cjiClWXLKeXbD68xe1bDxi/3efFyz2+Orykd+8JWatDt9MlUYp5UbFY5EwXOffvPaKazDk5PqOdDXjw0Q/oypJWp839+7dRkwvevnzHX/3qNW+uZvzOg/t89eVXLLSmkyYcv3vHqxevOTw65exqxpWS/P1/4++zOxrwxT//Jf/ZfAGJIEszinxKb7TG/Xs7nF+d02tltJIW0+mCXr/N9v27bN97wu0HH+KYgLBC4eLsgMX8DFQNnQFZfyNMqY6wRiuqy1N0ccpw2KHI5yznC8qioNtuURclvVEbqaCqW4xub3FveJ9h2qUs5hTLBfliyvhqzHg844svXvH81RsWquLDB3doKZjNxugiZ//NO+qe4uOPHvHowQdkqkW1rJnMFoyLFi1V00o1M52gRGbXQWAaAuiJHD2fcnV5wjKfUCwXlEnB/aePWO+v02kNoRbMx98l4/uNXp6nxOqB9tt/nHd1VcBe1QP8zTh82EWgeA1OXCuvV255emGjwW4W2SM4v7FEBGTQUlZ+u7tN6SDIIIGQx1usTARjjUhSFNIY8yV0+n3aPRPamuiKRFUIVdnz0kO/rtF4sNuhmuBFUtANKk4M8aquFr/ZHI6gUMfEWfs+iujFhjLnP5qtxKJiA0prlIydQlHBlT4GmdEH9jVmxX6P6EoQTR3sRKWdbOWiLu2Ru+iVY46F5ceCmoCn2hrGhWxiRmJx2jlKtNLmrG0hQvQAOkAupO2/SWyGqkEVaFWGEVG1XSPS4ICysYUywZ89pa9jgdH7TaMNxTzC08B73VhHPETh87z4aAr/ruPxrj9hsq7rJ8LjlZs3V5eXBqN6HKjeOCKCZLCaJ8A7GYGQ+wC/ZgRRhQ2JlWBwIMjrfhSaypfpQrz4XO4nzHz4BYqRpVVdkwntE9KlrRZpliGSFnuHJ7x6/YYnzz6mnWXUSlHXiqosGV9d0u11WV8bscwLxuMpWZpwZ3eTzY0OrbRA6jazSc7V5RVff/2Ks7MrNjc36HR7TMZT6qqmLCrmsynPv3rB4ckpuq74e3/nd3lw7w5/9i9+xv/lP/kv0ZjQ9OODPU4O3tHNJKrbZW3YJ0sTOp02ZZ6TpilbO7sk7T5FBTKT1MIkB16MzymmFwhVItM+neG6HS6T5Ls2af4QWlHNL7na+wqWV4ikBiXROkVKaY7Q1rU52q+TsXPrFsN+l6zdtnmqNEWRc3pywsHeEcfH5xwcnVHWmgcP7pGkCflyyenZKW9fv2J9fY3dO3fo9IaIrENNxrKSxuggJZAiRGrWkBZotw490ih0taAsL1lODynmF8gk49b9p6xv3yFrD9Gk1HW9iuz++ubj9VbWokO1sBAij7NHX3snUMCYXkb1hf3EzleurSCvCaFI0iqyjqIn9v1G6HwkAMRyewQN3lOnHeQxPOGOXyPeetu0qsXHMpi2g+fb7Au/DoNsJ6ind/l6mHD1+BnLxZQFNZ26sEeZfTNjDHWFcQ5DYpSc1eeuHzYNj71rj7Yi2HXdC81ehn7ENqaI7HoiHLziEJligjIVU10MUP78cRHfNx+KkPws5GQIWwKax484pmKfOSHEz7ofCZzByKGB0prl5AIhBYlM6PWHKBlC0F2tQmgSXaFFYjz9dYkCkrQF5dIKUSmkLZQWlPML2vUEhrfRsm2yjxdz6kSQZx2SOk7kppH1Arm8omjvUGvJIB+TiBJdK+pijkr6uFMfBJqkWph5KeaUrT4i6zYYY8iaESmxDluEjH5F3MdtOxCreOgElvBO7GGJx9vjhhNqRGwCce00TEwEwSrcZxVfcLgU8ENYmHUNtRBkiXngccPSh0RG4YjCeHRrFYyW2nbd428ErjFCRvzVM3GH/XYshIvMCPRPUFAWM5K6ZrAxYthNOXvzms9//pw///INux9/xuMH9xj2ugitmF5dcH5xwenJKbI/ZHtrm4OLF8wWS9bW1ugPhwy6c9qzC2YnR+y/es3eyRn3P37EM6259eEHJHlC8ddf8vXLF+xurPPxjz7j9t4R/69/+uds3d6m3xuwOLngr37xnO7mGsO2ZOfWJsO1ATLJGKYpVbXkzv27DGjzttVmPM1ppQlJMePdy1/w9OFv4bbBpBLGJ28R1GbNdgf0+huYEwp1hDOGsV6+fsHLL35C0jIMvT/ostlfYzDs0+12SMs5ZwfvuPvppwy6PdoipZzPKPI5l5dXLPOc/XcnfPX6LXNqbt3eYVrmPHp6n3atOT49pj1s8/D7j1nf3WbQHdKVPYplznI642w8p975HqJWJtFOb4DL1eENdlqTiBqRz5guxmhdUCxn9LbWuDt6wHC4QUu2qIuCZV6zmLz/OJvvrn8Z13X1ML7TfPrrX/rGXzfVJG649+u02JSQvvX6r9uRm4SD6IaJY6lMUlypodMmlWt067v0ziY24qymljW6NkdGBl7gNZdA728IT/BbpWIaekMfgsIUwxpoqpcfQsWYbQqiUUf02o0db1T9TcOz2o8G1wpqVzAycUMnm28IudKo5336GnoZWcTKaUIhVGFD5EMyNZEmSJla44rwXklh65RCG6Ucl6cnyEaOpwqZYo7vMocwS2myHymljVwgNGASfKEqhC7RVQnVElUswWZBl6pEqXBUqq4K6qoyodetHrI9wB1pjMAYKVbRJZ6zuJwbQXEzSnvZTlg8aoy9u9+cq2s4Zf8Ir8gEXNJebblJmsbP+010Z/WK5YnV56uuofjyOldjDEJrAYfsb5+tmoYioTEnEQmtoS7RdY4ApEyRiaAqS/b3jvn55y/Z3rnN7Tu3KSsTjq/qisnVBft7e+w+eEySpcwmY/Jlyc7OFmvDPu22QBVTLs5POT05IV8W9Ps9BoMB6+vrpGmLZV7Q7vbo9gdICYN+H3l6yub2Jrvbm0gpuZpMUFrQbmVsjYaMRn2kNM648/MLbm2tMxgOSaXg9OSMsjJbVouy+P+w919PsmR5fh/4OcJV6Eh18+p7S3ZX6+7pxmCghiC4AGi7ZlyzfVjj/mn7wrV9WJgtjQRWEUvSIAYEMTPdPdNTraqrrhapMyNDujpiH457ROSt6h7aGjhP7WZVNyNchPvxc37y+/v+UELihAqQFGuYXZxhihXCWmQ3JB4swT9rXRMHaFexOH1GPT1C25LKeoy3ZAjSVGLqgrPrC+Ik4oPH90mTGCElzjq8dxSrnKPXrzg5PqWqLEpprPPEScLuzghTVywWM2azGQ8fP2Znfx8dxXhEIPyua2rjEVEMQiGEQqLC/GpqlrfnjPIVopywmrzFmzn94Q7Dvdt0ukOkSgJFs7MUq9+eePhravS3puEmxbnlRvkbk3YtGP2mRrqdzE1O9cYiaWE/68fym0Z1G+jvtj/YEMrBGrp/QxizcaLWrbdoggdiex1sRx3bn26Fjtiqy26vz/oZtn3TtXr6svxe/+3wzOqIb9+9y96d2/zk2TGXT18xTCTW2wD9/Yqhb6PAa1gpgm10QRi/d+BW4fbXbpejzd6un3otpTYRTDb71kf+tuhiOMJtPW8IwjRZazY18n5LyLeRz1bvbFpv3ZxfvnnuNju6rQ+2gxIbwb2B4Iv1GGwE//YvtGRxaxZX7zl+8hdUkyPm0xV37hzgVUyU9pGRZrh/jygdMLm+pnr7Yw4O7rDbFZyeHVPlSw4OHxApy8pAucxJu7sMbj0AP+fq5CnZ6pR0fI+iqiivXuCyhHT8gEQrcpGC0BSmJlk+I6pPmZT7xFHErj7lzdWSqhQUp59jkgOcs0RxTCQd1fFfknUHTE9foA4/Rt/5AxBqnel223NiPU6ymUe+md9iXZHSvqttpSO2xrBVxjcVTzsj/RZCpA0N3YQFtqpR0KJJbl5BbP1O+/Y2GQZYR/UaWeM3N7nuJOBcu8ab9d5MNOfC+5brReu3AmvbK2Pz3GEKbRz59ZrZnk1iO8C1yQSIxgDBGjpZgnU5Wdbh/M1L3rw55sIYfvijb5NHY8ajIbGOmV5eMp9ecz254s3xCQ8/2aNaFhydnOIHQwa9Mb1ORn7xlNnpE07fvmBZlbz37U84zBJ+/rPP+Mmf/ozR+AChIw7v3uPRzoirt0f86te/Jt0fMtofkwjPrCqZlQW7+0N6aUykBMVsTpRl+Now2t9hkCYMuz3++O//iMl0yeXVOcVyRrG8wAm3qcGva4rpWSAOdQ49uEUcBSK+FimxJhWtKoQr2N0fE8UanCXrJMRRTF3WuLpG5Zf09gYMkhD8qPIVdVlS5Asuzie8entMpeEbf/hNBjrjZ//6Z7yOztFSc3l5RSU8nWTAvcOHZHGGcjIEVFc5uTEUyRiZ3ULk13hvMTLDIxu2WxqZ75G+RtYL8sUUr3JGt28x3j0gk3GQG3WNqWry6YrpbMbvt7+5rYUUb7dG2wTc+B1e3Fft2Aoarx2x9sPGTtjWkL9rE1+x/6scgL/e1dzWYP4rvt26q21j5Ctdj+Ypmqyv957cKYqoQ/9wTOfuASezFXOrUFoh1Tpsx03EIkFvbPu3X/GAm5rsrZvciO8tWbl17JY+b0/ePu7dZ4dWjzfXbn5AvHPYVztJm59bWxDtGH6FU9Zec+Psb9skW9pKbMZKSrkhmtt6k847Wv6Xtt2wgJBYcIHw7vL4GZdvPgdXo6MIUxkQkHa69Ic7REmGqWucqZHeoYTDWYPwBiU9kZZo6YiUJIojoiQDGTfGq0RFCUiJ95baOpLOmO4gwLKFK3HVkqqY4+scYSu890ilsKsLilVJPbmFlTEeiVIRAY1ocOWKfLHE6w7DOx9CMtigJrdKH1nbJhukMGzs+I1tuvl3sxpdw7MkEV6yzbu18Yxu2h3byaxg9rlGT/vNO/d2/Z5uzrLt7/zW53eQG+u5zVfO2fbRxNbkuWl1hPm7ceA3vtD6Sm3yZG38vOtJcePcdgRC8CgEgpSSwVk1huVixmwWOHh2dna5/+ghUVNH77zDWkue55RVRZLG1LbmajpHRjHDQQ+lYDq95vXTX3H8+hm9Xo/bd+7Q6XQ5O7/k9PycLOuDECRJgtaKhbXUznLnziE7ox7GVpyeL3n56ihA9JOYONI4a7G1QypFEmvSKGbQ7ZE8fMh4MODi8prKWOqyoq8kSioEknJVcn12iqlKnBXs7N5B90eUzRjgwfpA2myLBZOjp6hyjm0clo5O2N/fYzQcUFUll76m1+uQZTFCCmpjETiWsymvnj/lehI4DdK0w2JZEekv6KYpsdZcnJ0jIs2t27cZ7uwilVrb5oGYr8C6DJ1oEBpQoWyQLbHSzFklHK6ck1+fkkjP+PAe3dEeOukipA42sLUUyxlnR2947xt/n6/a/hro/vZE2jj4bTupTXYrTFYpWhjKV1zlnS9b5+/d+vR2vno2xH3hULF2KFvFbJtF+2VVt6Wy/WZhtUL+qyB0NwV4e8GbZQPb9+1gi/DrK87dugYe+mnMzk6fc6OYni/oRY5ZCxdcOzBfrthZZzIbh9m3kKAt4XKzdnrblWr+agbZ3ahd3ARpPK2jfuOW2Y6GSh/cugCbF02QQTRtyuTa0Xx3TIXztD3kt0tA3jWf1ipxO7LbHt/MrbXT2CqLJiizcbnCES3JW7jXZo6JreCBd+At1ltevjlGeskgXnA1W2It7A8TTn+jGY13qWpLbKfonmVw6xHF3LN/55C430VKzeWy4KRYEusVPn9JEilUrMiSnGr2G85PL3HWEF3DreVbvvu3f8BPf/mEYrGkdpasJ3EYzp/9JaO+Jn7/gOuVY7nMKZ79ORenF1jrGA0HDEZd7t4eY21F1lUsr19B5zbR6AENG+JmzosGCrh20DfreG2gNIp3vWbFJnRy03CUWzOFm/s8iPX+m8Zou37W7zLMQjYA/m0Dqp3gHuflVsmkX2f0RXNuSyS4PdNazoG2xIRmTuM99oYV6GlJGTcxhM09rj/elBo3nku887n9qw12US4Zjwd4MWdxesSbkzPiQYe//60PefP6GtkZMeh2cdajdISOErq9TlA0gz7Tq0uSTsajW+8TRxmynBMJx/nJEaKb8IPvfoIsa14/P+Lp+ZyffPZz1GDMBx9/HW8MJ18859NPP+WoWvGf/m/+E+7sH6AKzy9PJ6yWBTZ2VJGg2+kinefpFy/JrWN8sMPyeoKSQFEhlaCrY9Ae6nJtT0kEdrXEFjM8gryuufvoa0gUQtzENXkEtqx48tkvmCzeEmnVRP0HdB7d4dat26TCc3mUM9rdJxICZyyr+YKLk3Nen77FCU+8m/Dtr3/IIB5x+eIMU1mcd5weXdB/lPDg4R0Od/cZdIbUec4qX1JbS77IObqYU9y9T09GKFsitEaotJm7DekmgVdCVCtWiwlSe/Zu32MY91BKoYWkLlZUVUlRVFydTzg6OuX329/k1rar3fK43iXT+ort3bB12L68rtu/tqwHtp2Hr7gwa0X87o4vfffX3+eXjvQ3v31Xb95wOGjtLBH0W+tI0iKsgi6uUeQyo7e/y8EAbl1esXp1ho9UA/hyjZ6Xawds4wxvecP+nTETN+2QDVKr/cKvHfTtx/rq2uht3bP56e0g79qY25LVN8T8jWu09lXzXm4QxfitwW7xmpsba6HinrWltkmStO2w2uOFCL3A/fa4NffXyBrhQ7hbhJ7DeByRtFg74+z5p5y++DVZGpMkCUWe45xHqogkSYnjCG8Nu+MB7z28x7ghSQv19eEOjakxdUXtaoSvsVaG70xN7Q1FPsVUBUVRs3f3I/ZH3+fFs99QTE/pZTESiy1XrKZXCKno7x7g80sWZ5e8rRcslgHFNBjtMto/pDPcJVYKEVVcz65xyyE6TjFEzYjJ9agKQkYzDPemZKC16V07dmKr/TJtaWUY301WrA3Kb5CLng15c0suuJ4dbdmgaG2em5aMgIbQaTNn1v6NaxEAEi/lOmjWghU2UP7Nut+s1TVW8Ya9s/7x9s/1VL4pJ25a8+8gAL4CCrx5KrGe7jqSJGmMKC3XV5eUeU7W7XP7TgcnIgb9HnGW4rynNhZrLVmvz3BckqYJxliM8+zu7TAcdPDOMLm6oipLPnz/A3Z2R8go5vJqyk/+4lOePX/Lo0eP6Q/7lFVOdV3z/PlzjDN8/eMPGQw6SOF59eottakY9DtkSYoUgnxZYOoKIUP5yunxCcvZnCRNSOKILEnJ84oqz9E6QkgJzpFfX1EvrrEWnIzpH9xDJB08Fo/aIDi8p1hMmZydkYoilH8qQZQk1MZxdT1lOZ/R6cTcuX1AmkShV31VcXlxwYunT8E57j96yHhnD2s9jisiLYmjiMlkBnR4dO8O4909RBQ189qBqamKnMXsGtWJQLSNhWWQJXK7b1ZzvybHF3O6nZSd4Zi020PoKMgkH5IsVb7i6OUT3rx4wR/9E75y+1/UXu/dAKXbmq+t4dca2u+qxKbl+QYu+44M3zgQG3fENYK9bfMifCtw2XIAtq5JcDrXrTzbxba1aNr72CzEVvi297WJJK8Vlm8/iXcW3NaiFJs+luuvtvQhhBZc6+eTEqEVWoD0DuM9bg1vEuvfvHkFbpB/tXtbSPe2wpXt92Iro+1aOJRf68aN4toWVqxZN7efD0RgY9+mAVzLNLk5vvnrXWezjbhbv9m/1QehIcwLFV4bN3Cjf33zPNuavkUutPPJWUNV5nhTY5ZTbL0iilKEjOjcCuzYQgi8sTz96b+muDzicjLBVoYk1kQ65nKaE8cJs2XFqliSacntWyMObz3i8QcfY4hYzK7YvfOAsnaU+YJUee4ejAPcztVY4+hkEcpbsBV1VYYIqTXkK8c3liWvX7/GGsNwZ8SicMTSc3x2RbdzyDw3XFzNyYuS+7djev2UqjR4U9PtJGilwUGaZFxezrBnvyRKu5t3KGNEMgBAe4sTDUvDVgrfe4uoS4QUCBGy/Q4ZBI9sAyZ+/YZuWHVbwa02C7odDNvQNm0CNTfnzMZUbeF3YmvOtEKuJZUMCr9Rk40i3SjE1gDwDepJvIOu2VbmYUfgR9io3fVq25YdfiOPtpXx2qDclnM35EY4r9vrUsyfYK5OefPmDekw5b3Hj6mvZhxdLTm41UdIQSfLiGONliBFjXWOXq+LLi3X0yX79zrIKCPCYooletTl6x8+pp4tOHl9wvOTCZ+9OcdKzcdf/5CO0PzFT35Kz1RUGr75ybfY6Q/oxBnLySVf/Po5Io1QtuLi+IKjt6d8/PUPefT+Q+arkuurS351esH55c/Y2RtzePcOs4tzol6Pe8GNp7y+ZD69QBdzympG7QyliBnv3Qu8HB4EZj1iEkBJ7j16xD2xQxQp0jhG4qnmK/7qzV9ifMWPfvRNBr0RSklsVXB1fsY0v6Kzm3H/wT1u7eyDEeSLkuvzCb/64gvKxCKTmMcff8CD8R6+NpTLOUVRUCxyjl+d8OsvXnJRFDzce58uDiUd1kCJXqM3NlItIFRUEnFr/zb9Tg9twZqKwqywxrCclcxnM96+OePt7+hb+/vtP/7WIgC3NNRaN4utfe/aIJvthrnNlyXERjb9lju4eanf+jO/63zxzr/bewVrmbal27ZD6H7rOv7Gua023RhnLfFuC0lW3jXkruHCUaQY7u+gT6+wUqwdoHUw/sYzthqmGf1tO4wt2+/GO9ge73aHv3FF/1V/iXfsmnezQesREOt922Mh3jlw+543Nfgb5NvG/BI3zm/5bgKKMQyi9wEVpgQIXIMwDVawbwxBhcFVBdbUOBsy8M5U4CxKa5K0i47jwGa/WrCYnnNx9JyLoxfgHVIGiVTVNd57tHdUrsLXEbvjIV/76BH7e4Eh3ZoagWkcBYh1hE4SlAlJmcr6UO/vHd5UlOUKgaM2BdOrE8rVJdcXbxD1itHobrhmVVDXFVIqvAslH1GkEN7g6hV1VTA1K5zNwZWk/R1iLbCrCYvTp4zTDCES6mKFThLidAAqgYZZXLRErb7p7eQd0lm0DN1P2pI45yXWiYZ3p7EwhFr7B1KFvwNJYIBor7PeUt4wxl3TE3YdAGhasiGaNEXTRUA0DNOB7FAEaLxq55DAC7Veg8K7dVnxhovonUDhDXm1LXk2H9dzvj3S35zTbQJhnUhoT2qnuduSKmJLDjaJPSlBesNqPiFfLRiOdsi6fdw8p7Qq1OzrKJQ1orDWEScpnV4fqTRFHeDpw0GfOI7AOXaHAw5HX0diWK0WnLw94YsvXnB2ekmaJOzuDPBC8LNPP6W2IdTztY/ep9fvEcUx4Dg9v2K+WKFVglaQSE8nU7gkpqotl9M5k8k1Wkk6WcpwNMaJiKIwFKscU1bMTo8pLt9QXb2lS4ETnsIriDMMMiSDt2WWcOhIsbO/T+RWaC2IIkmkFcvVKvAGpRF7uzukSYIA6rrmzZu3vH75kvFwwINHj+j1AvN+kZd4D8u85Hwy4/jskq998gGD4QildXjrzlHlS47fvObZs6cIFfPwkz2EisAH9k0pxU3fWAi8d0gM/X6XYRaTJg0y13mccLi6Il/MOHr1krPTI1Tbzusrtt9do98SO4RpvXGW8Q0Bjm+y2q0DKTbH+/UcDAJynSbewgKIbaW7UbXSby0Nv92Sb+P8rQ2z1ofZ1jTrszcLqiX22/6dG6q2uUfv/Wb/5pZp4YHroWx0td+61/U9bvzRLb0WlGQgV/FILJF0GIICCeOxnU/drgZuF65fO1rvPOF6W/dL34o4tofdVIbcuM6NUfMbJygkijdHt8e2XArbW3vOzX1ugyRg4+SvDRpPw7hPcJYbuNiGA99T5CvOfv2nDHsddj/6IYEaUGCMIb8+ZT6dcPXZn7Fza4+Lk2PGmSQaDLg8P6HTHTB7c4fh7cdc5ZZnf/FvGMgVq6piPBiyO9zBO8f5fEZhPAcHfcqyYjhMsQiSOKHfGzGfL5AyojcYczWd4WpDHEkipdFKk8QRqzwo91g4BBpXWySBKdR4g0Ly8tVb7t7ZxxiLkIqiKHBe89GHD9FKMl15vFJEcYRxnqyTkC9XqG6fMq84v5iRdRRRlJHnhiI/InX/mlEqWZUVOhmS7H6AyAbE1QULdQubDLBNBhMBcT1neP6vUNJSlyVKxqw6j0MUPhmBN5Si27DxamTaC0rPFhAP8NUSnEULMDrDy8Bg7oQKk8PZBk4fJlAgIgzXEt4FFE5TbtCqxtbE2p5n3rfkeZs1FnrXb1ZIOzVlExl0NNZcs6Zku6bX8+ymsX8jELH1+Ub0favGYVudbzKFm00KR2yuWU3OWJ0d09nt8f6jR+TXC548fctlqXiQJOsfc2VJmS8pi5xFnnMgI87PT1HdjCyOEHFMZHMcNQ8fPmB1Pefi+IKnb6/47NkJMutyuDPm7uE+p8+O+dVvzvjbf/gdHnc7DA/22RntYhc5p8dnPD+9AKWZza5RcczhnVv8F//H/4KDLEIKxfMvnnN8dMF/9V/911wvliSrBe+9/x6F0BzcekR1ccK//a//z1xevGJnb8SdvmQxXTCtIy7fvKD/wZhYp1vORiO5rGW1XBBlNVGk0EqCM4z3xnzw8SNS4UjTGCkk5XzB+dFbLlfXjA7H3L19n47uYIqcVZ5TLWsWi5yqqqAb8cFH77HfGyOqmjxfUuUl15Mpr18ccb2akh5k/K37X8NlGdJVYJeotIMXmm3CpLZEQ0oYj3vE1JiyAB/qGRfTKcbWvH56yuX8EhfHPPjoAb/f/ga3tePVfLiBvvNtwp8NkmjbN9wsdP8Vi76VOq1902bWNhnojZYUW5dbs3qv0VDrE27o1XdP/FJ2j3f2+W2d/M6VfPvtTXl586Fufg6owaaNpAjEssaBimK81sH2WNt64b826L5lBG5JTvHOb7ZZKL5y8+8+p/+y/bBGl9HaXNwImqy5lG6aeOtb2NgzN8d2U6HRBioap09uEgbhwLX1BJ5AbuVD55221FMIMNWK06MQrD+8/5ikM0AIj/OOajXj6PlnTM/eYG0VWuTaOjj5UhKnGZ3eCBVFVHnObHJKMZ9gygLla+I0Jo4iAGxtiLRi1O/S7WQkccTOaEAaBQfcCYFzJtyj9LR1rc41TqEMKA0hHR6LdQJjBFoHuPB8PmM+vWa8d4jCg46pqxVeRMSdEVIpdNRFyDk6Tkk6fXRZYywgI6wxzCaXVMYSJRmrxYTFaolOYkSUcXnymiSJ2bnzmLi7i9RJKCVQoTYZKXG2wiwvsMtzvC8QVMHBEZJIR0QyxqsMGWU4oZEqzFWkQsgmo+trsCaUnogIT4StJcg0BACa94Z3gWySYIMgFYgIKeS660CYY6p5n2H+BdciOGQOh0c1beREY9c0DqUPVM9txwAhAOea7k3N/PGtw74JBKzXsA/lhtuORogv+Rtr7cYa3IZBIEBssLWhVzxQzCkmx9TFgsFoTGc4wFrPZDrDq5Txlh3mXCDss85irMFYQ1karAtroU2eJmlKLA35Ysqb12959fqIVV5y+/AAIWB/b8zx+SXPnj3n4XuPefzwATvjEUoGxrCiKPnssyeUlSWOLfmqYrQ/5u/86Lt89PEHREmH4/MrfvZXv+TPf/wXXF5O0EmHKE3oD0cMBh3mr3/Dv/lv/6+I5RkfPLpDN5JU+ZzpquL0zTM69z+Gzk6z6lub0aO1oD/okKmILEtIkrhJtkCsJcNBlyzVOO8oVyvOTo+5ujjn/oMH3Ll7lyxLQ1KvtpRlweR6yvV0RpJo3v/oMQe3D4iiKDDzm4qri3Oef/E5l1cT0t6Aw3uP0WkHYx0OG9bClxw1jxKQRppOkhLHErzBO4OxFabMWc2vmZyfMZ8tGO/s0ut1+W3b73b0CQ69a53qLeUqwpTeOLzNFMQ3RHpCbGX4aAzvRqS2ytZvoMWtUxkUzM0aeg+bWp/1728iYNs1ey08fLMs2EIabBl26+ym38DFt67N1nk3asvac5qH3nzfQoLaFlyNshZtb8bmnqVHYBG2JNYVhbV41bZK8VvInZvK3b/zr2jG66aC23rm5ovgeH/1th737S+3B68NLNwY85vK/t0rtN84mk4siIZkkbXx4vHgHFIIjLEgFRfnxyyf/ZTdnT3GD7+OTUZAMDbOT4948quf8t7d2+x/9H2MCXWEpyfHFC/+jIWNseWM5y/mHB1fIm3F7buHxK7gfDLD1c+JfvM/40REJjSFl/QGQ2oEWRYzHI54/krg3RX9TsbewZhvf++bXJ69JRE1dbFAKE3ciVBSUxuL857FskDrCI/HmgpnHcrVaC3Iy5xIOEb9hLIouTyd4JzjcrfP/sEBQnVwSPI8p9MNzKJ1VWIdPLhzC7zB1jXGWVYDmFQRV1dQlkvu7Sp2x4JXx9cUZYWUEO+N+cmnr9gbJXxD1pjjFVJaPB3mvk9y//vESQ9URFads29e4qOIN4saj+LZZ19wb7fDqym8d6fP48M7JFIzP32Jkx1svMuor5muhsjVCbiaanqK6OxhkyFzOYLxh4jFEbqeo9Me3hmqYk61WuBlRH+8h6quqIwHFaN0jBERkRJUVYVMRkipSf0U5XJqJ0B3KKI9UAqvOwihEd5Ti/CZJqBlrVgHE7c5NqRw63nZzMa1rHnXOPwq+xFuXi/sb5V0W4vemsMe6Q2ZzLGuore3w607D1hdXvHm5RE/+fQJH/yjf0Sv08E7T1UWVPkSbMny+ppVUQGeKEvpyIgkiumkMVlS0BkNWZ2/5uzkjL/45XMqpRnt97k9OuBiMeM7X3uf/88vn3Lvux/z/t3bTK8m7O0eYFY5F6dnLMqKo4tLFt4xGA8p5isWkzl/+j9/yt/90bfoJ5JvfutrfPMTwx//ne/zf/+//QveGMNevw8PvsXdOx/w/F/9d0zPXjG/Puf2vRHCG06Pz7kqLD/5F/8XxP8h5tEHP0A5cWO0MPW6Tq7XSRgOMvpZh+VqxdXlJXd3O/jKMpnPuTw+5mJ1xaOPHnJv/xDtFbY2lKsVxXzG8asJn/781xzNJnz0nW/w8YN7iLpmVZRMJhMuTs6Y5DnTYsbXfvQxd0eHFEs4boJMyhmKUkGykd/rTKpwZIkgSRSdSFMsC1ZVTrlccX1xwTxfsKLi8P1bHNw6JK5+ezub32//a22tSbrZWh0PGwfxXZ1Io5/fpc5/1zncArFt7d+6OM18EZvfXaOARLv3y3r7xoffJmjY1qZbEukrPeiNXt5OAMgtcslNx5nGtvIhSwShA4xxLRGcYhO4bKqrxW8bJ7jJhLxtMnzZeX93ALbRj9sHfMmSaG3KtZxux35jsN940bT38e4gg/cuOISAdR4hJFKJoGONCXXmrgbvsMZgq4J8OWc5vybSmv1bd+gNRkgpMEXJ2evnPPnlX5KmKePRCK0UZVkyv77g4ugZ5fQCXEleFKwWE0xdoaQi0hqlVUDkGoM1NVpBGsckSXA6pBAkcUxVV1hr6HUzHty/y97OmCiSaCmw1lAWOVoFB0Gs333z9FKGzLiKiKQmTlKiOiVfCpCXIDxRkuEqj3OC0d7tdZ2vsR4RZaTDGKUURDFCx0RZj3S4w0CnOHEGzmCdYLlcUtaGOOuwWi2wCGaXr0k7fZaTt+R4hFnQ6Q2IogSpYlSUodMuSXdApCXGnOGqI7xZUZcLqnwZUBDWIGVEZ7hH/9YjhIy4ePOG+fSKwXiP0f5dpI4ollfMJycYW5MODhDxECsT0v5OmCnWhrJiV2FWV5hyHiDbUQIqBJglEqEUQqnG8W+C+j7AqV0TyBNCgYqxMsGIFCMSrEhBRGGfVE1yzCOcD8SGDXJy040pyLANPHntPW1mrw/lGALWXaRuLKUmQOUkgISGr0jITQYbQHqLK+eIekWnPyBOM6xzvD064snz1zz+4OMm8yyw1lLVJWVZUZQllbFY61nlBdI7kkgQa4nWIYFSFQVHb444PT0jijS7WUZVG+q6Jkoi4jhCJxkP7t1lNOwTR4oojpFCcHk54fWbI7rdjG63g3CGxWrJq6Njbt0+5N7Dfb729X0++Phjvv2tT/gX/+L/hYi6dHcOGd39gIO9AX/1p/+OV7/5MXf3+yhGzKc555cXLAvL9Cf/gezOh9z65Ifr9eFxOOex+YrV9AIijxY9lACvJUpApDSto5KvFpwevaauCh6//5jx7gFKx3hXY4xhej3l7Ztz/vLTz7iezvn+977NRx+9h441AsdivuDt29ecvn1DHEd87ZOv0xvt4aMeORprqxCYkRrfcKO0AVABKOnRKvhO1lqcyanKBUU+pVhMWc1nIDQHd+7R6Q1DyeVv2f4X1Ohvg21bZ93T9j0PCmeb+GxjSLt3rrSpjd0A9f3WeSC2WuX4NWS3jbRtE18EB9LfUDLbQn4d726Vr2fdjzyUM7kbzn6rPLYoAJq7El++/NZY3DAl/OaZEIRn8QHmFfo9Oqz1eK+wXiK1bmB07476hiUfNpF1z6Zt3daNrAMoa7nRBhVuHra+03cREttmyfab2bRgCZvb/m2xPQYbJb2+Qvv+hccYy+WbZ/jJGxarOvBPlDO0jiiWM/LCcTG5pCdr6vOEyC5x3T3S0S0mVxecf/4zHh2OSYTh4jc/xixPMdWU49MJB70u33n8kOiDb/H8fM7ptKS4PuXFm7eAR0tNVzkENTj48P4BuYNMC1LnyYRDFlPu7USIVQ9ZL3h87xauuOZwf4f+cEhZG2aTCUW+QAjVZEYUcaJxpsQ5i8ASxwl7d+6ATrk4ectsNufqYoKzlo8/+pDReMxo1EUrhXWOvLKsFivK1QrnQUuJNQapA6IhTjsIJ5CxZJBEgOC8Kjm+rECljId9VqscayxX0zmrvGQWS14fX7GYT7mzN2QwKDFnp+xEc+qyYDDYZxDPsLJLnHUp7DWzVc3d/SG3drrsjTzTSvDwg48pp5esrl5gq0s6meLBox9wdnGKGIWendfH8OjBAc+enbGcXCLzU1LtiZTjw8ffpS4Kjp484WJ1gRWSnUFJWVxiViVxEpElEUXtiLVCVjXlRBJHcLgnEcU19fwCoi4zsYeKYnIjKJ0jS7uUjDi1+4i6QFGhd+6hxg8D43C78EUDW2zXRruOtqzWdf2e38iKNQ9IM7+b7obreS+9b3qzvrt+QlQ/jjQuienv36OaXPD88yf8/IuXdO7d5vbeAXVRUpsa7Tzzq0vKusRJjVKGxXzKm7dv2Pv4u1RGcNDtoMsz5pNLpldzXp5P+MHf+wPU9ZRTmfHwwWOevX7LTq/Lg7uH1EXF+fklDz76iNR5rqdXdHZHuJNrkt6AD3Z7SDxRpJFKUs/m/Hf//L8nTjQff+MD9tII72DQ69C5nlEJwQff/CF+seLH/+P/k1V5xXI+I0ljqsWMsiyQQqJMzuT8Dfff/8EakYXwKDy2WtEfxAzHPVKlWE4XXJycISLNvcMxxXRCPdylrkp6t3f44PAjOipGCoXNc8r5grIouXh7xV/+5Ff825/+JfFBhz/8ox/QlZp6vuDk+Ih5XVBVOcluyg++9QGDrENExPV8zlyXDOMCrSxWZiDUlpYI8yKWjr20JJWCqqgoy4rF5JLLy3Om8xnRKOXxe/e5dXAXv/RcT+f8fvsb3JrMQqtftoPZm611NkXjhL7jSL6rFL/i43Zw4Cv8xvU9tHp+u9XVmvR0+7S27Gxtf2x05lfdR5BBmx0bSO87x2x5xS3qcN2C9Z1ncNajCXaIbGDL1hqcc+tEh2w6lHgcePnV7PoEJ2Y72LF+Ic09bp5rM/ZsPc/a6vPbtmX75tYVz5vvm4FeozQ2xsbmvtqAwJahvD5YBBvVEmwpZUryqxOWF29ZTSeUZR5g9i6QZZm6xJgaaw1p1sEtLqj3b4OQzK4nXJwe00k03W7G5PwNJ6+fMp9eUSyndBLN++89Qkp4/vwFV+fHrJYLEKCVQq6NKk+kFbqTEScJ/W6HbicjjWPiWJPnBfPra7rdDjvDPgd7Q5IkxntHkeeslovQorfhBpAqEHoJqZrx8Og4pdPVxFEMQCk13oea/STt0B326fRHxNkA7yzOVMyvLwOhmXfBOV2VrIqa2jjq2pB1OrC3j6krqqJgOZ+iKkviwNjgE5SrBXhHXZfgIV9OweZoGQgftVJoneCyDJ8kCFsgzSLA8WON9DFSJMSRJooiUAlZ7Ol2Y2Lf5zoqGO922bs9RCiJrQSrHUVR1UTpgHluOTo7JmKJ8JZISqJIgzP48gqzmmJwOKXxDa6wRYoIKZEyQLl1Q/TmCWzrrulsgJA4J6itwIkUH/Up6vD8Is5Iujuk3R3STg9UkxiyCis0FglCIht+h5CxD2UWIesv1mt2g0wRTR2J21pHYbXLpq2hb2RPmPJhTTsXAntCKaJenxhFXRqePH3By1cnDMa73L1/nyTN8N5TFIGEr6gqZosVy6JmVRlmiyVZ1qXfzUiTGClqyrzg7O0bFosFh4e3QSqkjsg6XXSk6Q0GqOgVq6Kk2w3BBYRASoXzjovLK+JIkyYpOzsjtJJcXV7xxbMXvD06oZN1GQ6H7O7ucLC7w4Pbt7jKHZ3+gDv37iFczRe/+hRrLRKBtIa6KinKiqq2VFfnnL19zeEnP1yPiXce5xxVscKbAhFFTXLWYY3DeIdzhkgLnFU4U7K7t0Ov2yPOukgZ4ZzDWEdeVDx7+pJf/vIZn3/xgk6vyx/88Dt0spiyLJhOrnj58jVCeB699x7D0QgZJTgZUViJqwxSBwSFkG4j3W4kVT14j7EWYQpcOSNfTSlXU8rVkjjNGO7dJk77mNpSFf9/su5v4G9bMWa/0Vsg1pGutQITwdhdO4ICxLpYjA0ULrDDbCmGtfve/vg6Wt72Mt+W4L71JAV4Idk6bVsl8GUtuvGG20j4BiZ/U5luFH/rBfh3rtIoEdoTxUbRb9XTKAFSCVoSj/BaFVVtQddIodfdBhpttRkHgJbkkM04CMHWYDZ32QZBWljcDaOmBa2JNbHfRvG+OzZhs+v38WUo5DZKgq3jtkfPI1nMZjz7xZ+zOvoC6Q3CO7piCWZFISTLwrIqLWmU0O93ufvgkKPXn3G4M+T0+U8ZdAX3syWR1HgM89d/TieJ8DKhXq7YubvDndt7qCjhbFUHaIupcdaBNbgkZtCR1MaRJQm1iLhzq0u31w9tvjopaaSonWfUUWjh6aeSnUFEd7hD0hmAThh2Mryr0Fo1oj9koUXDpOtsgOKrKPTHHA06CFeAq4ijhKoqGPYSxqNdaPrdZrWl2z3GWUdRVXgRosrOgzUOLzVCZdy7NybNUhww+6vPGfYiev0hSadHVZUoAVkn5cGj+6A0K6+ooyHPTpZ8ksXESYR3NZP5itn8Ke/fHvCLF1M++dqAqFpwV1XkDFgtZ4z298hPL/n1n/0bZKQwViGc5s1nvyQb3OLF62NcbTGmZNSPePhgh7rMObvO6WU1l2XF4a0dXj97yunJKXW5wjnPMq+Yzl9wuN/j9dtzBqMe/W6H1bKiPx7SSWLyfMHUJuy6CJ8bzueg4wrR8aTKMZ/VGCnp9jRiMeHFp7/A6phuJjg0M3Z6PSJXY2qD1R2szpAmRwpHrXtBKTpDhMfKCOlDT2AvAsyRpjcwgLQGXAUqDkJXSIQ3a4WqvGgyYV9hgNcr0l6Xcjbh/OSSpy+PePzJY24/+JDezhghFJWpWVxeUVUlx2eXnF1M6AwGnLx6zfHVhHudDNUZkvia/PKMk+dPWQrHd7/3deLS8NSkdO4+Ju0k/PAPvkMapyRS8ezFG/Z3e3wYRVgcu4e3scuSL379BBNDmsakWlEXK/J5TpT1AMfl6TH/w7Nn7N19QDf2LKcVS1Gzv3tAFPW5Pj1hMb1k6ZZ0D3aJJFR5AQgiBDYvmS8XjVxiLb8dMD2/4IvffMH+4ZD93SG9TofxeIipa8z0gtqvSDo9dm7tsTPokUUas8oxVUVeriirivl0xeujC3797AVLDA8eHPLg1m2K6wXT6TXzfEUpDA8/eY8k7TBIhnhjKGYLriZzpiql3+th6xqbRk0QuYUrB8hlXxekLLFVTTGfsVotmV1PyH3J3v09Du7eYad7gK8cs+Wcq6srfr/9zW2hrLfBzK0J0lhnsYLOa7T5O3Xy22H5m+7llj3SftoKmG9d4Ea0b5OsWH+1ucktBzmctmWc0NpVX444vOv4i63j1/bP9u/d2M/aHljbY+tgZeChUEKilWxKsiRgMc414+gI0FzHGp3wji20tjnE5tvtW1pbLdumy5eeq3ma7eush7V1VMTWV1uBk+0AybrOYKsMq/nB9byAdaDW+hCgMLNTzp79FfOTJ1T5ElvlVGWFbcrNPKCURCmNihOi2LM6f01+eYwXAmsdkVKknRhcydXpK1xVIlxN7EvGgwPu3b2Nc5bL8zO8Cz3JnfcY1WSKm/cQ6YhIx3SyjEG/x7DXI0sjtJJ0s5TZwT5RpOh1YnaGXTrdLkoHR95Yi7MO6/y697lr/m7Z5VXjeEmlKaoKa0qUUlRFQZIqBoMxnU6HKEnAOzADZtMJeVFS1xYhPFEck3QHCF3jpSbu9OmMdonjhCpf8vrZE7SSDHd26PRHWBfqu6WUFN0+xtjQihiB8xZvAurN2pKimlF5j/ChmlpFEXVds5zP6HY7qMEQ4STLxTWLxZJ+f4jHhSDIyxdcXl2RZinG1FRliYoS9g67zGZTnnzxG24fHhApiLUiiYMeN2WOqesG2VKvA2qhbD/MmijSpEmMi6LQws1bnA0IC+9dSNo5T5kXIBT90R71csXk4gIHJNmInYMH7D36GCEzrudXCOcQKkXIBGSElBpUjJeaUIq6TUC8zTUQ4aXCedOgA1QIUguatRqSh86BVFGzryk18RaBQSlQWrGaLnn25CUXl/MAQ3/wiP5ggGoST857qtpSVIbJIme6LIiu5yxXRQNZjwFLuZpz+uo5pljy8P5DojRjMl8w3ttnONqh7Srx4vkbjl4f8Y1vfgOlIzwC6yxlXnB6ckaWpRgT0BaxFhwe7OCsxVjH2fmEz754ShJFfPTh+1xfzzi9zrmlB3ycJMxnM06OjhBSE8VpU54ZnBIpBF40xHZChNKJZr9yBlsukYQACCKgqa2x1KamLCy4Ci277IwHZFmKUoFbojYOaw1VseLkzRtev3zN6ck5q+WK9z58j1u39qjqkqvTS06OT+gNBjx8/JhuN3BoucZpn87nXF6u2LuTgYoC2ltsBUDXgV2HtwZnc2ozw+RTytWMqizoDEYMd++Qdkc456nKCUW+4rdtv9PR31SJN0K8leLtZGwE7Saq2yqaNsLcTli/Zn7fZshsgwXtr/mNymI9633IxMtW07Sh27a+37NZFM3VfIscaH5pHR9et+naGtKGwW+bL2BT0bEJP7SN/zxinenePP+mf3xbT9MeI5u/hWhqhD2oJnIunEVag5HtM2+71Ddth/a+8G0N/GZSrNEL3tP2L/eEib3BBvit7+FmeGM9cu8o7uZ9tYQ3nqZH68a9b1/VuuTA05AvCqbTa04+/R8xx7+kH8doKel2YnqdXa5OK/bv3COfT5A6wesuw/GY9+8fMBp0SJOI9HpCJxZMpUE4j/Ee4yLmi5wocTy6v8fb80seFSvSOLB2RqIi0w4jHFY4NIa6MDx6eI+k28dWZVBqWAQBnlOJ8Gkxn5MpAX5MomB3NMJHGV6mdJXBmeBUa63wQpCXdVM2YvHW4r2kRmKlp9PrgCl5eHuMjjssS4dWijRLETK021CyZm93p4kWC5Ik1PV455jO5uzu7QWDUim63Q5p2uHpF0+4vTsiyxK8dyTpGK01zll2d0dIEQRSyNrGOGdYFG/IS4txwWE9ucqZLSvOLhbkhWVPzdCuQhhJkaWUtaW4fEK2c8D5dMXu3ohPX885rf491sekCsZ6yeVUcrTb5Xq25PmLY775/iFV7Xl7fMXF2RXYAougk2bUZoEWltWywHnHYrbiemFYLiv6teDjB7soJblaWJ4elRxEmtOVouM015MJ7z++z28+f0I8GgUIWqTY3RuyLGo+vtenXr4kPpqyPxpw9uqYwicsjWTQVThXk5eK4WhMma8YpRYfDxh2JFfTHJ8NqXwaVkiUIPqHZPkJl69/Tf/gkEGWMM8lHVmCy+lkGm89F3WffP+7eNHU3DuDoqaanENxwcsvnvPm7JS/85/+ALeomVae+XxBtzdAIqkqx6oIjAP9bpd5vuL9Dx4wuvsALTU6jlHFJbOjFxAZvvnRR5iLa56/vSR/7x/w6MF9drMFWoAta1bzGZUTHNy5zd5ohHaefLbg7Rcv+dWvnxDFksnZKTqJ2d8ZMWqyRP1Rnw/v3+Nf/rf/X3Y+vs8/+jt/xItfPOPf//t/R15blM6YnHyG8TVZEtMZ9IhsTW4qdBR6yE7nM/ZUhPByLUkkEmEq4ljwybc+opMqsiSmzguW0wXOlSRMqSnp3HtEJ0tQ3mOLAlsX5PMls+Wci9cX/Pw3z7jI55AEYp7+sE+mY+YXM94cnXLrw9u8P96h1x+iHVR5SVHmGAfT4yteFpfcPhwQJZqFyLANCU4buFbCkbol5XLJcjXHLK+Zz67wkefhB4/Z6e43vacVZV6wms65uLjg99vf3CZ9Wz7YOvkNMH2LaDQkODe6eONzf5Vj3Qb739GxN7Tg5vhtVSlg4ww3/974butX/Vd++NLVN589N8oR11bBxky4ce4GhddaKg37ifdNEARwNhi/QuOFxQuFczYElMVW/rx19NskCqzHaNse3IzDxjZobYuNnbU1ZJ6bz7NGTW0srM3zbJ56e0w2Vodfo0g33/qtd9gkQJu7sC7cWz074+wX/476/HNiCUkSoTo9lAyZcKUUSmviOCZK0vBvFOO8w9lQrmedxzjPalWwWi5wVYnCoaTAKUskLIkGpRPGgx667efqfBgEJVFKEUWaLE3oZClpHMrXBBZnw/0660jSlEgHeaoFaAVaC4SUpDJusvcNY3f7nmgdf4vzoFSEkJokicEZZru7rOaKTq/PcDCkkyYorUMWW0mSWGNMFdACzVjmec58sULFKXHWQ8cpWZaCKclXS5RwjEZjelWJta6BIoeASW1MyMp7i3eBVDhUtDu8qanrCnAkSUIcJeG9SkUcJ4EM0EOxKljlV+SLOUmnQ1WWTK6vOTs5ptfrYUwgf42zLr3hDvkqZ7lYUtcV1ljyZY2SAikEWgZEgXNQm3pD9L3uZuWQIsVFUfA98FhjsbXBmgrvbWhT52G5ygFJ1gvlmpEKKJnITrHz17DsE6Up+fHnwbkUEkR4H1JpUBoZpUgZB8i/aBp4S411YJ0k7o7RaZdqOaXK54EnIelQVyU6SlFRiilKvAUf9xDZDrXIUFKQCEskDJE0rKZXvPziCdYKvv3tb9DpjyBKA0+B3KxH5z2VcRS1Q8UpnW6X0XDYBE0UdbFgOZkQJwn37twhS2JevHhB6TwP3vsQHSXrshNrHZPJBO8FOgo2L9by+W+e8OOf/FVYS8aA8+zv7zAeDdgZDen2uiyWOa/fvOHu3Xt841vf4/jknP/m//Ev6WYZo27C+fk5dVnQSZMGZRAQEs57rAcnI+JuaPFnXQgeChzCVfhyjhaWNTOBCw54XdU4W5HGgl6vCawpFYKF1uKMYXp5zqvnTzl6c0RVVlQmBPHu3r2NlHB1dc3p6Tm3bt/m3v0H6EijpAxEh66mzFe8evaE528u6Y8OibpZ49d51m0fGylrrcX4ktrO8cU1plwgpWL/ziN64wN0lIEXLBczyqIIvEW/Zfudjn7bNCtAV1unu+kF2rRaa0W6cITFK0QgX1sL2kb9tJGzRmm5tfLYchJhA2trpXYjJzfZ5cbpb4ME6wXaOL3CI1qDAGgJobbVpm1VgNhMbsFGGW0r8DURxlbg4QY8TLRBjA3Vi/ACYQ1eh9o31UZsmtYq0jeK0ZZQLxFRLzS02crE++beW86BFnq8HlO/lSloh6MZt1Zwrd9ds2+7lGKdJWje9LvmxlqJis3ntVKnDWJslPyNP7zHeYue/IZ76TX+wQFaBWXinAOlGe/tgXX0Ogm9LGX3zj0WZc2LV88pZlfIKEVLwWxRIKWktmGx1M7z/PUZd24N8VKhgWK5QuqEQaR4uJuSx13q2gTh0sDspXB4V4CvUdLhfYW3ICPJqqqoasP18gobaWp7gDE15xenEPcQMiKlJI7Aa90wPCuWi+BkIQJqw3nYuXWA131MfslilRMnKc4Lup0OSoL3pmHVDX1NtQ7tOypb4UyI1HvnuHP7gMFo2Fh9gXxQSssf/uDrPH/+htqEnqflvEJKia1rahuCF96GFilCyNAX1Ri+9vUPefrsBaPBiCSOGOzeRkvPwe4ucXVFWub4OEMIz6mPkDKlX8/IopKiTHj06D6jbsaicHR0RVJrelnM2fE5k4Vlb5DinUEIjfeeVeXo6aDsnZDsjDok5RVpdUE2UOisw8x3SHuhJd4sr0izLl0ky8WS0zjDJooVwYC6mBVk3R5SRVycTzg42COLwrrsRgbZ1ez2E7q9MW+ql8xmFyG7b3fQkWbXTxHzcxZzRy5WHEZz5PguxdmCnfe/wdmTXzGtA6eCyHYY7mXkk2M6fUEWdfn002d88M2vkZZXLK1kv6N5enqN2Pk2SjcGsqsRlPjVNWfHb1jWc/7uP/xbxHnNq7xA9gckaYp1Bm+hrGtkmpCaLlVZEWvFqN/jyvQQSJSM0NQMD0bcH96mmi159eaCf//r13z8rQN63YxycUqtFMvzU9JOxG6a8u2vf4hdrriaTLi6uOLP//SvKNMEaUpevj1h7/F7/ON/+Pd5uN8l0TH5KieqKvYPxjx67y7jrsTudjjY36e68wGxTilml/THXSLtqTDYMg8lSA7SJCEvS/rDcSOLNxLJ1TVvn39OWR7T6yYkShJFUVCkkaQqam69/5Cd3oDYOpwtqa2lWOVcXU25uprw/OiY29+4z3d7Y35a/CnzquT99x5w9faMi9ML5KjL4eFtMiuDDLeGuiooFivmk5xXz57zi6O3fP9Hj7Gqg0jTUA61VdsciRptFpi6YjWbUbmc/u0x+7sHZFmfSCVgPKvrGbPJhOv5NRU1v9/+5jaXX+OIQhZGqOCoy5ChRgY0TgMmBNGQqMEWmaegJea8QXC17TFue+vvRNzXlKGeDblwk1Rodfa2799ecr19hZP/ldsN/Dsb2+ada20y+eF/az3vA+JBAsKEHu12lRN1ungF1lu8h8rCvKgwzmNFuFqA7zuEt23DycbSk+BDbb8QvmkJL9Ykxy2Jsd8qr9iURbUOenPj6wiAWNtQ7UBv9wq/kXwQm9M2WdiNBdOCRtvXFpjaWb9rYUvc1Rt6LEj2d1BRgmzac3nnqeoq1Oo311YCTF2RL+dUZQEuELi1c8mWBbIsiGwdCNEQYA2LS8vR888ZjXfAFGSxpIg1CIh0gKJrrdE6OPqplkhXUeUWXxWoptC2qB2L5Yok0iyXS4pihdYeZyNkAy+XUje2QfPMNkCPnXMNVFqidYxUEcZabJ0jvQlZbgla2KCznArqqyqo8nnD5B+uap2jznOEtSS6RxxHKC2JpUdqQRKF9mbeBkK8MICBByGJI6JIE+kozJemPEA6ixIWYWsEKVEUk3U6xHFMnq/AGiIV4Yxp3qkD5yiKAiFD6aTwIKUiSVIibZqyC8viekpV5CRxhJYqcBr4kIgRUhDHGWmSUdc1tmkVtiZk9E3ZilDBGZe6mXABIeqMbaDWwftxJlyzyguk0oyHI6QSKKXROkK6Au0kwpZ4Vzdk3yGw4drgggAlQvIwEOnJ4OjbwAElooxOt4+1BmEr3DKllorz0xOGO7fYObiDLUq8dSwKT7z/MXL4GEFEJGpSCorJMSevnrE7HrN/eA+hI2bzHIUilU13AR+6GCitQ0xKKvqdLp1OxmgwIEsTlFbIJKZ/+5Askpjlgt/88pd8/sUXfP+P/gipVCgHMgYBDIcDdnZGHBzsoOPAUVGbiucvXoRAh7csioLHjx7yybe+yd7eDuOdMVIqqqpm/+AWWadL0u0x3hPcu3efx+89ZNyJWV5dEGtNP4sBSW1FIEhsWzPLiLTbD3qhIRLU3qDsCl8vUTIkQp1zGGMwxiAExHHTbjBuUCguzL3FdMqbV685OzlGSvjg469RVp5Xp9egBePdIdZ7pvMF45097ty9j9S6IYm2eFOznF3z5vVbnn7+OdPcUxYrkr5ArTniWpnlGsFVU9cLXDkjEo7eeJ/ecEza6YfuFc5RlTnXl+ecnx3jzW+3R36no//5//TPUNaSju8iVULaGyCjBBnHSBWDkKTdMWi1icRuyemNg9wK51AnFYSla5z6xmluopHb7bnCeZtw+bpcgParNju/iTXfRAmwzu6vb2r913aFplzfb/sMra7dwOW3ybqagMP6uYJCUzh0OWO+XHH+2c94/0d/jFQxUbXA+wHFYk7iDRoDzhJJg44kzuQIFTeKdbs+rlVm4fkUFuPlDUj9xoRp/t+yhTa65wa6/4YJEjIkfh2AeMdAecf4acsC1uUOvlXkmxPEdk9jD8NuRGSHlGUZJrOQrFZLdKQxscY5wXxWUhYOyxnLqmA5vSBR4IucvAoCDAfGBniaVoIHt3o4HGVZkqUJv/j5z1BaU9U1ypYMOhn9fockiVHS0ckyvLPESeiy3s9ilJIkSUxeO+oSlvOcSGqM9RyfThhnMZ3hHl4Fpaq8D/wItsY6gxOSSBgEArkmQPEsFkusqBHVDFssMWWBExpTNwsYgTeO2tZUtWWVr9BCUNtQQVjXVWD/jCRZmoUorwjCyzpHEseMx0OytIP3LmTzvUdJgXGWNElw1gCeSEdYD9PJKcXkNXf3Olxczzk/n+OdQwoNwoGp0KYgSkLwaVkBYkC+KpCkOJlSOMPMZ/jYc11HOB+T2AQ7dcyWJVlvwHRZ44UjSoIRtTCCUdZhMOwTRzGvXnqcLUmUoF5JlAp1i1pJnFGIJOXR7R5XF4JlVRAZg3XQ6QSSot29HYSOiOKIvKzZ2+kw7GlktSTzhn43Je102e9H6Kqig8G7Sy6XGQvpGe8k7PRKEhP6ouvpMfe1oz7+FcImCJEymdfMzl6zmxww8Et6lJR1zPVsxa++eMu3H+7w6S+e8+2v3eXVs1cQ/ZKHH34L5aG2hn5UYPMp6SDjB5/8bRIrePbkM66s5lYU2Iad8wipuHv/HpOrCVkUI5wnMRVvXrxEHHwAkWWUxmjj6I52uD56w6tXR/z0F0+4lhGdes7yfMmqXNHpKNK9MX/7j/8e/+yf/w9Mrq/xUUQ2GLLjJYu8ZLw3Znp6zN79h/zon/yXFLWhrh24ip3xEFuV/Of/+3/KbHpNbmwwQEa3uPvJ3yMWEvyKgweHXB8fU1UV82VO1O/RuV5Q2joE2vq7QTqKTb9zs5oTaUuWDOn1EzpJQqQ10jtcuWDn9i6d3l6A2znLcrVitpgzPbvg+Zsj+oc7fOfvfYe93pCLL864mi6IkijM8zji4be+ziDt0JURsZQUeUFdlCznC45eXfLki5ccT08Z9hSaBcZmOJk0REeyCcx6pKmoqyWL1RUiduwO9xmPd+h1BojKYYqSqgjtbC7PLnn95oyZ/e1Qud9v//G3Jz/57/FCo+OMKO0RZT2SrIfUETpKSHt9VBxITkVTly1l+C/0HG4D9VvB6a20c1DlN1FtX/L2t7/5iniAf+eYdseNSoI2GvaOP7/evTakxPo+34X7t7bOmiekaROZagL6zThcVaHqAje9Ippfs3v3EK26UFZQD1nWBbPZAutD4sU5jxcWQY2QAtl0t4EQ1A/tnoKed7Wlrf9FhgwpQjV2UihhbNH56wSIaHCRYl1osUnwbI2a3/pr205rkQfONs7ku+9nGwXaBB3COFmUWZFoSHb2kLZgOzpjTUvEV+O9xcsYnAr9s4slVb4KpXkCfKNbvbMoXECZuMBGLj2IesHZi8+YHKXkZc1OL2HU2Wvg48FJphlRpTVpHJE2JHvBfgpBGCcMiXKYcsX0esJy2SfWHu8ilNYopfDSsAkAhXrskIlvHeEIKRtSNwHCGyLpkLEiiRVKgfAWfFN77mqwJdgKgQuBj7rCFyW97pi9W3voNDB7KyFwNaSxoi5rwIVARlOHLYQgjhT40HUoJDcCFBlnwFa4qsDbOsj9+YwVUNcVZVlSlUWYX0JSVjVCKIxpiOFkaLmnoyRktH2Jc4aqrjk/P2NZhfPyvAhkvK4OpStJTBInJGmKlIq6rtccFaItQfYOpWK0itBRCoRyDUQorUS0/oYgybpIqUMcAkscJSSdjCiKUVKSxBlZ1iGOE+qqXHefartYiYAsD2uj7QAhg72nhEdriXEFpgQlFVJJtPIIYfG2whRT6lWCNwYN1JNLrKkZd3uoaJdY1EQ2Jy9nHB4esru/j0dxfnrG5dWMg/v9EDT1wZOQSqOj4BJGkSZOYqyx6+ShEh6hJL6oePPqFSevXnFy9JbD27cZ7exQlkVwVoEkyRiPd+kP+nS7KaIpd1itlkRa8fDeHV69ekO32+MHP/wR/eEA6xwq6tDJMjJnsdZRV6FltVKKDz54nwePH6K0oljO6HdTet0YjyfPC8qqxDmHExp0EngCRKi9Vw0Rr6hLnKmCve4trimHECKUNY4GHfZ2h4FHy1RUZcn58TGnR0cYY9nZHdMfDsg6A84vrsmrEqUVcRzhvWd/f5/xaBTaEIrA+WHritVqwenbI16/fMVstsCIlLqq1oFOITz4Nj0d7s27UG6TRIrhYI9Or4fSceg0Zx3G1MymU2bTa8p8Gcg5f8v2Ox396dP/GamgfF43/SolyJhlVWMry7Az4ns/+qf0PvwBLkpxTb2DJ1SdtILU+Zby4mZkeuPD34TNt1vQhxuFJ1oDcqtuS64dbTbQ9dZpFxuNvq2E219aR6t967iLDQHNGv4n19dvzwvw/aBoe9oyjksi4Uio2B9bPn87pTO2PI5OiXVEXE2ZTGPeHr8l6Q3Z7zhcYXHCkekJpj5nVfeoZcbi4pikv4/tH9L3lsH8DWfdO8yNwV8+p5N1EOOHGBQyvyaJFZXKGrgejZILXemF3yqFaMeT7YAF6+4G62DLNjJiHT6QjVHRfOfb69yMjngaZe4dtlrhTYCSWOebup3wX20qqlVOFCV0u0moobYzFI5INQojjul3Y1RDqBYcgZA5D3HXTV1m2znB+wjhM9I04uBgNwgtIZBeIqQPRDhCBIielEQ6RgjHB/cUeMt8MefZi2Om0zll0cU5T13WpKmmNh4ZS5xXuNoglECnw/YOwFmkVJS1xfgc5YKBEScJXiY4EyLQcRQjhML5Ci1900ddonxErCVFEdJSXoAxFUIIpE5wdY1vBEeZ52uBUFYlWklKZ7EO6irA7oQQKFGG7Poix7lL9vZvMRiN6fYH6zrEICzmxL5GxjHFYsYgVegkw5oCIXVgZdULbt+7h29arigVCGm0jplcX5KvcpyNKWvTGD7hmLv377G/O8ZWhjrUDuCcbYJnBbY0xEmE9IadnR77u2O6keHtuaebxk0UP9T3ZZkKa1pY6tJweOc2iZnjsiHedomHt1FaMxjvsqgMhQPla7ToUTsP3V16OzH1fMJbI0hkgO+laYeeKsiSDgjBQV3jhGL3wQecvD0hPexx9+EdsizDqJjd8Q7zQvL44S3Or35F/nxJ//BD4qSPriY45Xj46CMoSt4+fcqnv3rBJBtz+PW0QV9YvPRUdUkcK6pIUdclo/0dHty7SyGHnNcZka+QtuTkyROevXzF2arkuz/8OiY9oL54y3mR0u8nHIx3GGQJ56szkm7GeGdEz3rmlxOe/PILXp9NkL2YVVkRj2+R7TzgT//7f86/PPsV7z8+5Nvf+wZ3+j0uryZUZYnIOpyeneHwJHGGN5bJyTHVasF8PscMuhRljalWLBZLkk5CPBiR9kaE7J7Ykg+W2tZ4UVMbTa1CNwnhHf1+ynB3j053jHKe5XzJ5OyU0+tLLJ6DR/s8fP8xo2TM/OyC6dWEy/mM6dWMl2+P+eEP/oCD/ghR1Dhq8nzFarVifr3g8uyaX/36GZVwLMsVB+/fJpECnfVwQq3v0QuB8h5RF1RVgZVw+959BlkX5TzUBmssVVGyWq4oa8PkfMHnT1/CYBsj9fvtf+3t6MlP1vI2GOcaqUOA3AtFNtjh1sNPuPXwE9L+LjJKgt6yACGzIiEY3H6ttm4Ewte5aL/R+aE2/R2XvPUTt0oSW9tjE2XfOq45rdXRX7rWeufWZ78Nf7+5s0X6td8JIYmE57AXsZ84VF2T4Imt5mh5zdKecSgzdASVM2SixOLZHfcBz6K01HgqYYLjYusA80cRtUY+oKQEa8iXM1bzSYASdwYYr7BCoXSKb2qImzqKhsRXBKZ7IdYM+G0YoLXd1raJ92gpN0gM70NgusFitomHxqcNAYhmYEMayK9r1p01SFPgy2uoFuuAha3rUJdvHd7Z4Ow72+yrqJq4gRKeLInDPSmFksFp1rLpGNV4am3AUEkZoLrWkkUw6gzpZAlZEjL5wU4JxGA60mRJQpZo4kiFjGnD0G6dJy9rJtM5xtQoYZDSo5RAKxFQLMKvs9sbouQwjrJFXtA4+jjAoDVoqYm0QNHw0LhmQG2OdAX4Cu8M1BW+ylHO0s/2GA366LSHtQ7vLUYYkljijQt19kI1jmoIhLg6QOq98EihUSrUTedFSb6Y0s9S4jRrOJUC0jGKQmthW9cURQ5CEKUZSmnaBSWEoNsf0h8MGYxG1JXB2pCVtd6xqio6vS6R0gjhsSa0IMyyhOFoSJZkgQxXq5DJRQRH1Ducc2gdEWcdsv4wICJm18EFEBJvbTOHFUmmmlaFIRGjG7tVypDVT5KMbrdP1umxmM8b6H5whLUKbQ5bzgW55R2FluGeSGuwDukDp4Zq4f3OE+sIX9dU8+tgC2uNEo7lxWvSzpCD975JFmmUqemPx6R7faT3nL16zWef/hwrI/bvvxe4K/BY3zQfFoGjYGc8YDgc0+lk9DsJaaTRElbzOa9//TMWF6ckccTh4T77d25TFQWVren1egzHu+gko58Psc4Fm0JCmRc8e/KM+XRKWdbMFktu373Pwa1DPv305/yrf/MnfP8Pvs83PvmESKvQdcpaKitYriqSNCNLM/COyeUpYHHeUZQVMyymqvHOhURo0qE7HOIxzZg7IizOFhu0ayMLBA4pIcsSdsYDep0UsMyupxy/fUuxXLG7t0ev30eoFv1suZ5cs1yukFKxWhVorRmOBsRxHFpKO0vddPCYTyfk+Sqgx4VERxGuaY0YZIcLARwXEpv4GukqOolm3B3SyXTDMeWwzmLrILPy1ZJ8OeP05Izftf1OR79alehEoxKFMyHf7KUJmUxpKatr/vLH/w3Zr/+EO/e+zvjxd6G7Q5p1cQ37Z2gNIbbI5jY14q0S3BJPG/HfDIClbWuxua/g9Afn34rAixkgY7JxAlttsDHE1uz2vo0wvwOFa89bO75bP/iucysCQknh+bjv+YOv3wp12829pcWKPTtmVy3xXlB/7QP8zg69nT0QcHj3AReTKbLRVBeF5Re/eo5zE4S2nJ08wT7/ObvjPub1L1gOH2I6u3z+F3/C1+4OSR79iEoPiV7/lL3DLvPhB8zVHkLHCCVRjaMexqOtyw+CP15dIZKMQibYqiSKQ4CmKksuvvgpzE/BmWAk2VB/oiPNzu3HJHe/hRcwuTzDnv0GISWLyTFKepRwaB1aplWmpl7OudPXaO1RLrTtQEUIFM5aEulQscQ7Da7C1AYvJCpOGvhTE9xRili0NXdBIa2hRsITNbBNZx1SemztiRWksUTK8E5NWRDkacgG6UgTKdlAvzpoUZLoiFhD9B6UVUGMxxULfKwoc0/sV5S2UaAInNFUTdsw2dT41cYh0gEQYaoC7yyz5RJBTl5LimLEcjEPhHvWURlLVVYUtqaqTSAFLEukBD/so4VERVEwnFQIcl0dvyTWHdIkgSZzIqXEOINy0MkSnBXU3hEJSVnmXFyvePv0Bf/g7/SRSURE2/rQor1HeYu3BklCpBRCKJTSeB8jtSbNUpbzWWCddWFlSKkQSqKVppsmDPsDvIDFck6sItJOl1hrlKtYzSfgBaYKxpUAIi2R3iKlQ0nQQqGFxdYFplySqNDSRmcJcZKEVnymxnqBTkLUXHjb9H11oSWu1qg4QsZdZrVGRArvkmCEAhfTJe89GmGKnAqJ0zEi9iy9wMWSejUHAdZZZi4m3Rmyf+eQ2lU4k7NcVCwX08CCOg/GTCcCcf2cXBoG97+FWV3SH40o50uuz854/vqMV1dzDr/xHqY2GAL0MBYwz3NqU5PnBVEn45OPHuNcwnxeMzi4jSwvuXr+OU9fPGPvvQd8Z2fIm+enzEYPqa/n0M/IOin9bkakQ42lrQ2Xxyc8fXXEbFVxcXxJ7g2HnT7WZsQ7u2RZBzu54k///U959mKPP/vzv+SDb/6AP/zj/y2z2Qvmn72km0Tceu8eh5lkeZ3z2c9/xqy6QHmDlIKroubi7IqVtTzuHDLe26eX9QLp0EZcUs2mzCcTdOKQzpFGAZEx7MfsDRU6HSEQ5KsFi+tLLudnJMOM+w8eMMoGmLwkn16Tr3JWVQOhVJ733nvEKE6hKrFlwWwxZzWbc3Y24c3ZOdEw5W//53/I7PmEyfEZmJzaWpZGYL1ay/c2W+GcQcSCu/v3iIUKMtRCaUqcMZRFxcXZhNPjC56/PuLV2Vveu33vd6nP32//kTeJQay5eTzeVdQm3xBJrS6ZXb7l9ed/QW90i53b9xkfPKQzPCBKuhgrQnu1JnuGb5oarR3tTalcGwS/YaaIm/fjtw2I7ez+zVzBDcf+XR//5gW//BvvXH4drA//b8sQQkheCsdhB765p+klikhLfGkZTGLOFwVjrpHeIvoD+qnGKclHDw5Y7o+YLnMqB7mBt5cLjq4WWCS+Ksmnp/hqTqIjhJBUZc706oLVYkZ/tMNg95CaQC7WHe0jdApKh1ZlOnSLEVKDUwgtEU3ZRSDCEmt7qs2VSu+xqytml8fUqynCW0yZUy6nmLoi64249fBjOoMDag+L60uWVyfU5RLpXciGCRGyoHhEvYJ6iWpg6+BxJgSsvdsETqSU665Q1oRAtRAyZNvajEiT/Q3OXoMYab6TwgcYtgzZ7DgK3DndThagz00bZd8gACIVsvxxrIm0RKnQ9k/KMD5JrIg15EWBcIEETODwVgWjX7TFtVvJs+1/vQFvEC4Kwcp8gfe2IZMz2LrAlnOwoXe9KVd4myOsgYbILVICrSTCzCnmx6TsEljeLbach8CALXC1Q+kUJROEVAEl0pJtO4uzhASHtZyenHBxcsyH7z8m2x3TcmlIEcoRtQ51zW2ACBnQD4Hzy62RJVHznWgJDnWE9J6UYKmrBi3obWhdlsQxaRyjlQAkkZbg5fr9OS+xwobrSYnWmjhKqJMONimarHRACwgZ3kE7R6QUgai5OUY2hItpEjMaDJldX9LyYgkReAJC5xu1LjFqvSDrAn+XEJrEQxTFxHHaBMgEdVXRH4xCK0jbyAIJvW4fFcHk5CVSSh7cv4cUhrTTRZkFZ69e8qtPP+X8+Izd+48QSoeAmffUDXzdWhPsmjRl0O+QpWngcZCCYjHlxWe/wBUr3vvwQ7xzTK4mQSZUBd2kH8jr4oAktV6wmK+Yz+Y4W/PixSuePX2JMRvY/N2794jTjLdHJzx/9pzLiyt+/Gc/5cGDB3z/+9+j3+9zPV1wPZ0zGo2RTbLr9OSEs7MLpnFEoiXDToI3NXltqYSh2+kSZynS1kgvSIQnFqFEFm8bJ79xtEXwN5NY08kSpISqrJlNr0HAnfv36HS60BAzemfJVzlvj05Y5iVKx/T7Pfr9XgjOeL8mlbyeXJIvZygh6HZ7jMeGyaygIm6ilWGttUZTSySrhSGLPcMkIks8UnmED8k8a0J5xMXpKZ//5tecHB/x4sVrxuOd36pafqejn3ZSPDZAoEpDmqbU3pEqsDoJtU2mprx8y+zyCPFX/4YKONh/yP2v/W1GD76G7Ix4t63ydoS7hcq1cJY2ze9pAhutdvNbUPkGnu7ZZO/bReJbYh4PLUneBp6+iSS3zu865+0b5b8VWaMRGO334f/yRrQ/UwSHpiFoc85zfzmj/z/9a2IX6vflf/l/ot4/QAUkExUOHcXo9tdNjdEJyjm8jLlanlE8+TMObu9yPZtxevSGzs5tHg4Fxhue/vj/zenpJUNfYh/fpciecXQ5pXYOQeOoxSlpmpImKegIqROUdwz9HJMMcVGffqqY2ZRsMGYxOWf5xZ/w3kGfwd4tfvPFz7GmRipFDVwvjxiVc5x3RKsr0sUb0lizE3lUlIKAspxTzxfEOFal5c1lwTDV7I76dPt9VkVJpCSV9xit0JHGO4uwitpBHGmSSKMFeFcBbe1SyJYoZKNwZajF9AYpXCBrbAgNhQjEOEr4RrEqnAr9sYVSeKmbwFA411uB1EFxqCj0sk0TjS0L8tkpRs7RSR+vHFKGujcpI+pqEchUZDAOJRLjLL4IWXDhDd7WjHs6ZM4taLuiXpyjZISzNc4YxnqFiAXEFqjxUei7urx4gZmfIFVE1N2lzi/QWBI/J19NuZ6fhGy7Uizzin6WYIxl5jWjUY95JfB1QRwB1YJ+v8PV1ZTaTIhjTVWWOB/R6XYpyxqNC3VrdYFHokxoS1MXBVVRBF5yC86EqK+tHLUz2MhTlpbKrgIMsCopXE5V5sGh6/WQKvROVXGMaowsoQJcsapC3Z2xBmPBNVmk2tY4oDamiXBXOBuIVkRtiXUUoPxGIZIetpyjtSKKIkQUM7x1l8GgR7VaEnV6eB+CHp2sy2T1hv74VmjrJyXGekbjIatFRn/QJ1+uiNOYnfGAJL9kOp+T9O4Rp92G4bQILYu8pchXaB2Te4/3hkjUKCGZXZzzq18/wcUxP/juhyySHraq0FkXqRXeGLx1LBdzri6v0J2Eoy+eksdDop2HpCpBXp5wdvKCj779IXcO7nDx/C0v84j7+/cYdc748L1b7AwSYqWpVwsujo64vLjk5OyayfmEJEt5dnzBf/aP/y5vfvWUGcsgy6uaRw9u8/6jB/wn/+SPKM9OmI32uZrMGEaGUdTh9dsz9Nf/FkknI80X5Ksps3xOIiVYj0hTiqLECEfpHEnSIev0Qrh0y5tJhyP2Dg7xLOh1khCY6GQMOqDqAN3Mc89yNuPk8oKDR3e5vX+HRET4ssTkK+bXc45fnPLTn/2So+kV3/oH3+EHn3wdqorpfEG+mHM1ueLifIJJFQ++foc7h3fIZJdSLBj0u5RVxfV8RX93EBwYtm/To7Vi1B+QiPBuKixYS5nXzK9nXJxd8uTJawpKRoc90ucRncFf053299t/1C0Y+Zsgv2+SH9b5NbwWa6nLBdPzF7z6zZ+jky798SF33vsGd9/7DnF3H4cMMPU1TH+TN3frmdHo5r/WM2/MjW0yGy9uHvYVzrt499JbCfsvZf192x1iA+BvGabbrLjzEmc9qZIMuwlRFhwkryo6iaMvF8TTGrGKyDofoRXUItRqu1jjfXAkLJKqNpxdTVEojFly9vwXzE+e08lSojgh0hFaR6S+4vrN55y//IyyCkHYTm+IUBpHgAIjFVKFemchQ59yVICfC6WQKkJFGqEilI6J4pROp0u9nHJ98hJXzcHWlMWSqlhijWGuIuzshIMHHyF0hplfw3JC7EwIktuQTfPeBselLvHOoJWEKA6OpJKh/LQpWwiGZcjoehcI13QUg3fU1CgJcRQFy9HZDWKBzTto/6HJ3DYMESgdNZleuXZwvHPINet3gKIHNzBkvYUMtbtxHIf53pQqWmu3Mv8bx3GDRN2QMQPQJCGMseTLGcKHjDWEsi1TLrFV0aAwC7wpAN+gE5pn8R5TXHN9VBAlXZAq9FyvSqrlFdVqRV07PAqhImRbouaDZRQcYYmOQs2ydRaUYrbKKYyhrMrgQMu2VlyQRJq6qkGEAIi2LtQ7N+9KqhBMMNauuw6EgJFv0Meu8SuCTRjyQZvgrnN+fV+ycaDF2vFryjUbkkMpZShP8XLN54V1YEJ7O91At6WKGqI/h9aBP0ApTbfXo9vtBwLGrBNIFNtyGWvXgUu5nk4BBeMbFIGOAimkaOaKsY7ucCd0lmrmWRxFxFqBiJguDfNlQTG/Iu1qnLUcvXjJqydfIJTm4O5dBgcHREkGQgTSN2up6pB0WM5ndHoe4Qyy6cZh65LF9BLhDPfuP6DT7XJ2dAQq5uDufZJenzhJ0FFEwEYLnA3ovboI0PWzkzO8h+GgzyovieKY8e4exktWZc3e/i2++93vkCQxUZwgo4TaeeaLBaYhp7TOUttAajxfrMi1opMmgMTVFbUFIzz39/bItCCydVhHwhN5Q+VCuUsg6GyDcoFXKmng93leslzM8F5wePsOWZY289ZjvcQamC1yvnj6kryo+OQb7/Hw4b0G3QFFkXN6csJsOiVSkn6vT7fXA6GYr2qk0rg61NdbUxK5eo1eCvPUkyhLN/YksUTITXvHuqooVgsuTk548sUTdJKwt3/A2dkl9x789sTD77RU6rIgigLzpdYaZw1aCIgSrhclRWECtFYIJKH3JMJzIV5w/idP6XX2+OT7/5jR+9+hTjqsOeBbZ39Lma1z775VssGpDkotKGInttq3tNqwqRkPX4l3zhdbdfRNxFhsHPsNj34ICnxVy5xtpeuF39rlifBkKggm0UDNBI6uFCRZBo1C0GmCXcPVAuyrE0fr3+oa2Ol1Ec6x8oH18mJyxf90HvowIiPE5IJUB75SIT3DxNHVGZ+fnIM4o/KB8dNLjSY4tSsBidRUVYGOFGWeN8rNIZRmejVnMMj45MOPGXSG2F7CL5++YH++ZDqdYb1FC4lUisVqyWJy0kSSAzQmUpBoiVQ1eMEyz6mvr7k/HFAg+cb793h9fMqr1yc8/KjLyfEZvX4PASjdlAM4S6wUUSQZjveYzkLm2NeGYZbgKSlri4g1uMAmH96DW0PgvKuDcmvIclQDc5JNiw3nPA5NVStsPSNLFUmShL6vwrKYTLl7a4jwItQJCUXSHVBWNZQF5XIZKG+FoK4N1mmEayL+WiKFCuUpSmFtSaxiDBJTGwadDC8UWjhsnXP2dgrOkKUJXkYoCUoYLOFZIu1RKrCGK6GDk60zqvkVQjjm8wU6klSFYTLNMc4jVcS5qRqSQMHxWcRg54Dri1MEDusMvV7K29NJY0aAiiKqasHx2SV42NndY3lxhW1gYVlWg3Uhex1FWOcw1bNAXuJsgCcJSBJPUeZknR5F7rC2wrvQqzntK4ybMF2d4pxmubDgHHEUE4mIWbnCmoKk16ffG7AqLPJ6SbGqMVWo0/DWY0WIakdCUGMRUdLAozy+dlTFBR5PbSDSoaZuen7CYhJkl+GaJNKAp1jOMcayurjgejZnOOwCgrI0xJGmLEqssSRVQipqoKRazcmrJcUypzASQc2gm6FkmL+z2QoST1KcI/MrptcnvHj6ks7dfb7/0Yd88cUbkt4+3U4X2WQWSlNjrGF6PePi8pKhGGDHB/SHXco4I3Yl88tX3P/4AX0Vc/7miF989pSd7/wt/vDrI/rRDq4M7d+WVnA9vaYAiDWHhweY8wm/+fw12a0hcrbg5OKSq+WS7//Tf0iiE7y0/J2/+yM+eHyH/nt3+B//zU+Qu5r+IOM3v3lFefubPNp9n+Orml0C8QsIisqwWKzwOwOQgjwvcVLS2T0MXAPGNvJRogUsrs64vjpjsbpkZ3+PKNYMBxldHHmxgnqHyfkbnPa8/82PGMRdYqlDJn9xzWo+Yz5f8fTzV/yHn/4VSwz/+MNHRDXM82vmszknRyfMbM7B/QMePHxEJmKE91SznLM3J1hRkyrN+ZsT9u+WKL/ACU0Lmetow7DjSLVGK0mxspSriiLPMWXF2dEZp/MrHn3vHgejXcqrmjdfHDHeG/4u9fn77T/yZq1d/x0yqBLd1Jia2lAZg4M1i7gQAm9mTE6uOT/6DS8++wmPv/4j7r3/HXRnjHGqcYxY2wSiddZoLYMNmrAlitugC8PBX2b3b/Nz79gTW9u77Pxflc3/bYe0Pr5v/hZNu9YANVcIFYeWXEIgqPHVEl0uIJ9iVIR89DWcioLdZCxI0CqUuWkh6CURsfBIDS4LnC/nlxf4xklM4pgoSYLOdaHlmDGhLVaZz9YZUSFD1n6zySZ5IzZj7G8mdKIo4dbhXXq9PtXiOjiipsaYUMutVKgtn529Yn51gtQRSipUkxGQTZeBQAoWyKlirYh0hKlKitUSaLKvSgU4tJSNQyjWc0trHWwEY1itcpJORrfbC3DZPMdai5fhPQa7o2nx3PBBtGj4kJCSgGrGwq1nhvUebCjTc16gnA912No3zmfYoihqHP2CPF+FkoHGQQ2ZcBla87awE7Hl1IqAvrM2IB3iKAq60wc4v63yUNfsA6GeaxB3DWgB8M0+g7WhfTFSUdeG2hgETUDF1FTGYp3AeEFlfSBHa55b6wBzj7XGek+cpszygnqxDPfWoGyMDRG8JIqoquAARVoSaY0KNQqBOwC4uJ4RJUnoU+9Aa4lQwa6vbUOe2AREIqVJ4pheJ0OrCOOa+m9nm6y6xNpAzKakpLaB9V5LFZyrPLCaKxEI25RqSRFVg+iU6+Sk9RDrmKiBcHsPVW1Y5gWzRR6O9RvkUHhRQb/KBinSyhUaZIJSurFnw5yqmxJJ0QgsJVUoAY0SnEiQAqrVnOu84uT1MxaTU+49/oBud8DF1RUy6SKjeCusCdaGObZczOl0MpTwYcU6gzOB/+nOgwekWjKdXPHFF894/OHH7BzcIcrSLR8ocGq5uiaNIspVyfHbM5aLnG4noASupwuUVCRpQl1X3H/4gNt37nDv3m0WiwXX1zPyIqcoS+ra0Ol00FpjraUsQkDCOoe0Ac1rbUguGueQseb+nUOiukAZFzotSHBVTrVcYEx4Hq0sxoXAG3jquuL6ekqxWiIw7OyM6PU6KNGsaR9I/crK8LOff87nz99inONrX/uITrcT0JmrkuOjI/LVksNbtxgM+816FRRFxXK1Cv8VhsvzYwbDQD4Yp92QLhQSHQkSZYhlaDvpncXaGlMVzK8nXJydsJgvefD4fe4+fMzpyQlHJ6c8eu/Rb9E2f42jn68KXBajY4UWAXIqhWBeVsxnS4RxIeDnBPsHu/Rv75Ffz+h0+pzPJlxen/Pjf/vPuP35T3n4rb9H7+En1CrCCc+X0vy+bRFCowSazP52Nt2L9f62Fs5vdq8XTSA9k+v9bT33Bpa3BRNouePF5jc2PQD9unbGC0KJudicqvH00s3k9k3gwXqLzTJUw1Lr0+zGuEoRYOeigaFrb1G+QkpNJjSkHSargvrqNMDN0l5gFxYitPpwFu9KhBfULtwjQiGBOE6RWqHjmChNsWUVWkPgcCY4xEoqtNI467i+WvIf/vSCTifD4VmsVpycHYesuNZ00oQ41pS1IRKq6Tmuibu2ga0H57isCmRVcefObX759pzerQe8uiw5uqrJy5qzZ6dEzlNSUlobSjPEglQpvLf0u112bvV5e/6ayWRC5FP+yffeJz/7nJeL4Gi7qmbUTcidQAtJKjWvrye8d7CP7nfJ8wnQZoUlSmdUxlI7x2q5JDcal8+R/RilIuq8IBtGnF9MGHU1Tkc4U6K1AqfxpsR6R1VZOo3QXkPKpAIZWtg1YaIA5xICpQNBjXcOI2LwoXRE6SQQ+RlD7BTSOVarCqVE04qmpq8TymJBVYSavDjNQIRoo5KCBw/usphdgZc4Y6m9JEo61NVybQkWtaTb7ZNqyaos6CQRQgiWqznSGKz3pN2Q7b6czbHWk/UiiqXBekNhHfWyoixytNb4JVzPZoEAzfvQVsSW7NxPELEhSRR+EVARkpiqdkyuFohLx2g3I0o0wkpwUOUes5JUS4USETpOmV8/YTges1rMkN5hbAgmqCgi6SqG45hOH3QsqEuHMR5bC1ypqObheKU13c/eolWEdxUqcXhRNTSmElvLwLKMIuskCFmh0gLrV0jniTykekQ+ueL4YkEUa46VoKxrRr2MVV7iBGipMEKwyAIaRWnBKq+RSYf3OmAWl5yeHDN+uM/H733I5cs3HM9L7t0fYYwhimOMsdR1zWq5oC5KVqucT977Jrf7Q65tivXQESV6b0DXL3j76jWfvzjhTz99wj/51vc4O3pF3U3odzO00szLkocffoirn1Cucn78J3/Kr371hLmT/L2/9QmvXhxTIRgf3qffHSDJ+dYffIN7Y5icXfHy+Ut8mbM4fcvPXnl2P/whd+5+C3f8AiM1b6dneAFFUQKe8f4Bn7z/AX/54x+TZhm9wYBH/Qjzyz8JbMleBhigiknrnHt7e5xOHfsHe+wc7DDIIlZvv2BuV3T6Y8b7u/QGXQZZB2EdVDXlakGR59QGzt5c8q//w18yrUp6O30O93apl0tm1zNevnxDLksefe0xD289BAfCeYrVivM3F7w6O8JHCmTEalEQmwX26pw4DoRJHkh7CcNhRiQ8rjY4Z6jLgsnpCdf5HNmL+MbHH7I3uoXPJW9Pjti9v8/79x//LvX5++0/8uZt3WQug0HkG6IxZw1VVQTSLhmcujTNQou0JMI5S1kULKev+dm/f8WrL37CJ9/7Yw4efIuaToDt4ptsXWtkt4kB3rEZtrYttvhtj3yTURU3ztp8wzvXagII6z7xvsn4b0Gyb6AP2bpKyzHU/Nc61rYOOgowziEa1F083CXZPWyIf0OSRAmJliE7KJUgjRSRhEgrvIiI0oxFXlIUS0xTJtHClZUMzhBCYExDBrcFb5cytJNrM6eidaxpkRm+cfSDsS6A+fSKNO0EnoAmWRKctdCxQzXwaNMQ5EVRTNzw8bQZbmtNKOcTMvSKH/TxPtQLV1UVHOS1syxvwLWjKApoQOfIVysuLy5R+3v0el2KomSxWDS2QAgwhCS+RMmmU1VzvyFj66C1R1ToXBAg0iG11ZJFqq1/4wbOr5p6YL0OmoRWscZZlAq2CE3JAC0HUXMvrm3n59tsvwuOsJRIQePoVuDLJsMdyuDw4Tq+KUlo+RHazLOMfFNrLpBKoaMIrTS1cigfHG1JqNv3JtjXUoXxlE32GCGJkgQvQCGQmrWTGOHBOSIlqZtOQlVdoRpnDRd6mdfGBNSBEuRFSVEZvBDIOEJGOgQWwrSkrG3IxhqHaDpS1A1CoEVuhGwueOeIVbClhQdXG+o6BOXBk6Uxw36PLOsEQkQfuHaKosQ4CwKMcUgZsTsek6YxVVWSFwVtd4qQmJSgFDpSRCo46cHtCY5+iGmE5E8g75U3Wlv7piOXbNq/aRlg+ErHSJ3S6fbwSnF+dsxqfs37H37McDRmNptRG8dotwdStZKnjVhhTSBmjCMd1p1zSG/BBXSJI2VyfsxPf/wTXr18y6OPv0FdW4rimjhLyDq9gCTyluVywcX5FX/2Zz/lejolyzLGOxlFVXN5OWE0GjEej9FK8f3vfY+6LLieTpgvFsyXK+IkJetkJGlKkqXhXZbBWfbOEalANum9xVgTOmc4x53bd9kfD8ivTtFYtDfUwuNMRZ3Pw7pRgWywk8akiQ7ypK5ZVCVJrNjdvUW3m6FVIAmuakNtLKvVip/9/HP+3X/4S6bLkp1Rn7u3D6irkqvLKVcX54Dj/r27jMdjBB5TVzjjWS2XXF5crcsjZtdXTC5P8VIwFCCVRkVRKGOVBiEM1pbUdUGRL1jOpiznC+K0w/v3P6bb30FIyTJ/wf7BPrdu3/4tmvOvcfTxYGuPrQ1xFOCNZe2ZXC+p8iIwEyICUUNnSG0kkY64mFySz5d4A/NyweTzP+fl80/57vf/KXf+6H9HsSY02Ki5tokLvEMyg18rQETb6m8dS2/O3I6hBxh10L0b1tqQ7G/b14m1tmxr7v36ItthtsABAOCdXwu+tqJGYeh2kkbRNsEFKdA//CH2G9/AE2BE9XDIVt+fsIC9W/fwFK4kcku86iKBThKHtmsqwttQk2HD1QMTpamQgd0N34ycdwYrQjZTCkGUpawW8xBZTFJkMsAurxFKUlQV9XKFcEHoaKW4Xq7wTU0VIkxuV9VhcbtA5BJFEaKBlQ163RDBKkwYc6VItOZ6OsHWjrPrc8a9DrXzOCEp82uG3ZTzqxqaPqICwUpKSmM5Ojnj6vqa2XJJWZYIr/jTp78mX8y5yFfQKNWFVZyeXXEwyNi/dZtZCW9WcHZ8jBYmRHLxRM8nJEkXYWoqZ+goRVk79sdD3NElIvr/sfdnPZpkaX4n9juLbe/me3jskXtlZW1Z1VXd1U1295Cc5oyGACVxMNBIAga61IWgz6HvIEBXkiDoQsCMLqghR2qqp8leqqu61twjYw/f3d/dzM6qi2P2uidnqiAQjb4qSwQi0v1dzI4t5zz/579MaVsJ7hllIVgtLDu39jGmYTLeAhHIiJRak6mAaVqyokQrQV4m2YqISTNqbUINIRkZSW/JZcRFR7BrtJTUNpKXAi0jFojOYZ2hWdcbQEXLnOAVSo2oBg1KWAqtk4u5imRZhkfhioy2TXm9uS7I8wwruu6E0niVg9S0xiCFRzhLludURUHEpZxb3zIq4cGde5yen/Pg7ha3xhZjGzJVYKJHhC2CjAzLiqv5OaOswgVDpQqOZuf85MlLZC4ZDjMmI0VeKur1imIwZOQlUgSUiLjGgRCslm0yUEKxd+cAVVdEqdkeZOztjfFrDXic8wQJbWt5sT7n9SxQthKlu/tGCJwVmLUjFyP2J3uI4PF2SVs7UJYqj2RlweVyRqYLpvWSXtIzsNu0ZobQgcmopCg0MkC8OiIXE6KWeNVSS08sAxeuxuoW6wLSaKQOLFuP0AG7dik60g2QYZ+ryzN2H97m0f03WB+f8fjpK17VGbeMRWhwraF1juVywXJd0zrHYDJhICWffPKYycP3uLUTGfgLlFnz9MkTfvLpY2Q54nu/+wHffP9t2tmUv/7Zc4rJmK998AF7e/u0l5ccffmc1XTFn/75X1OOt/nmd95nezSgHVVU6xY9HrPtz3kwlEyqgucff8Rf/u1HkGVUW0NMG8nGd6nyiosnvyKYhvGwIrYNh7cP+ez1c7RWNKcn/MX0ivViwWR3QjYYUQnJ4vQVg61dYoC2qVHe4ULk5OKS6WqOCy1uPac6HCHWU/K7t7qYxIpSy/QMcwZvWoxtmV+t+PL5Ea9Pzql9i1SCdz58l3sHh8xfXXI8vWB8Z5tvvnmfSTUmkwW2rTF1Qztf8fzJS5ayRklo65r563P+7M9/wvbeIV979yH7OwMEnkGZobynblqE8Cwup8ym56ztmu27u9w5vM24HGIbwexqwfnsinc+fIMH27d/4/T52+3veNtQrCF0QLnznrapMU2Ddx6dF0mbmyVt+Gq1wrZNMhAT6Zl98eoj/uriNV//7n/M29/5j0CNkaREoBjAx5C6rd183ce0AfQJKBsBf7dm6LvB3Yv4anl/zQLYfMxX2vXX3VfgOmaXG2uW7rt7yOG6IdLto0ydXe97l+zOuLao2Pv+HyK+/UMKJYg6Iw63sTIDb5GCzg8nJdL47n1bg+TP4l1kZ3evyy9fk+teXy+6AjBgfIqDciGtk64ZEXHDvJBKbQp91RWusqOFRxLVunevb+uaGVf/A4Zl70ejZd+x7vS1Qm6K4eu0pjQughQblnVO9T3lXfa6aCE2n9F3yINP1P0sy7DOsVgsmc1mXXZ3S2sNieKdgI6k8b7uwPdrzNQh9mSZIs8yMqUS+7M75aoDGpRM2nytJHmenPirqqAqc4pcUxY9kEFiAeoseQGojuzf0/hFf42QulIdkEPnxt8nm9gQMK3F+eSnkhpgsXNYTwCC1uk8pbFMRZAPEXSZIgGlRukkGSldxAWBkB6kRumc3PnUnRcanSU/oeB7MCEQsnS9hdhR7JVOoImIaJHWwM0ww7pkPqakItdJE2+tYbVaIWJkPCywxrBuGi4XDXMTuqoh0fGVFJS53jRhussG61PxHxDorGBQJhZYJmG7zMhVuo689RhjqBvLcr3GOsd8dsVserXpvLvgaI1FasXWZALR0bSW00u3uS4SKKQIEZzztC7dN1FApmQC13SWovlUAoVSUhVdkkJ3R20egXFj5hZC3BhAJsxPMZ6Mubu/y2iQc7DzFjvb28xnc774+GPqtmXv7v1N7rrvHNx9cBs2hZLJeDCG1JRTQtIaw+sXL2mWM/b29igHE+49eoOmafjo5z/l/qOHPHr7HaTSWGM4Pjrh5PySYjhiUObs7u2wtbXNydklIst56913GU/Gm+flcrXm6OiU84srjAvo1RqZJ3bSYrVivlwhEAyGAw7v3OLyakr0HuciTWtwziKU4s133gFbc/H8c0SwKcFAJWAkhEC9rnGmTekAWQadWfhwULK7s8XO9jgldokkBXEu0LaWo6MzPn/8Jb/8+DHTxQrnA9tbE6oyZzG74urqitFoxJ27txkNB+m+jAHvDM45Li8vmc6mndTEcXl5ThSSddMghWAwGFPlQwoVUMLhXI1pl9SrGfVqSQywvXeL0fYBebWFFJq2WbOar3jw8G2ycsKv235joV/oEtM9fCGm7qjzTIbbTINioBWj7QmjagA6ML86YX55gfARa/zGDVQJQevXPPn4L7n97nfJ9u7gdJYmti77G6m/gnb32FVPcQFApkK+L0ZTTZ5002IzJXSFb4TUy083Wm+4c/1RX52Ir+v7+O8Z7CZWQY/sE+moWiDwNKZmNb/o6HOd56v3pIy4tJ9mOdt8plCS2gWW8/kmls2sl5jVJTIzeDTKLFJMSVHhvE6TZwhEJbHeIpHoYogXpJu8MwcxbZu06qp3lIy0wSJDRplnqDgi4rExIl1LWVXJgbqjryggZkljFJyDILCuO1apiGh89GA900WNaRtklhgEznZUepdi6KIPnCzWaKWTA65vuTw9A6VReYFzdnNSYvDEELmanlOva4bDEUIIfvrxJcaYhNwjQSi0EgRnOXkdCL/6FVmW8XL4fJM0ABBcIERDUY7S5BQDg8GAxWrFlyp1t3UmMdazOxzROMutvT2WXxxT1y25UkRVINoFb969g1kvMHnFcLILdkWIPi2ifEJ697b38W1LbWsKLSiIWAEuBqo8Z3t7BxOHzKePqbIMLQVVVVBby3y+YFBmjAYOkeeMK41vLT4mulo50LS1gdYgdY6QGYgyyQRCQ1HskIUaoRRKZQilcbKgCYFoDFVVgFsQWodAIUUymxMxkpca1yQJjo8K56FxAescxluUKCATqMbSGsFQCVa1JcslwVu28yGXy4ZXx2teGEfdtORFzu3DgrOzZepw5C22DsxXhigijx4eMixKsvGAs9ML9HjCvYNttsYTliJjZxDIMHxxcsJoe0K4FMxrRaME51dTtvcHiOhp6sCtg13efes9ZD1nZQ13dncRPjKrV8jxPoPxAfbllwyGI/J4wdMXrzDeYCvHuna0ruFIW6SOFDpjqxozHjQMqxJjapqmIQiBrQ1RFwRjMG7JYKugvmqIUbBeOopBxuGdPWZn54z3d3l4/xGrk1O+/PwxHz8/oXr4NXKdXFPPzs7wzhFjJCsKtna2CQpWdcPe/bsEFTgYOszLp7z45CN+9fw13/r97/JgvM3T10es5wvGec7eaMBHz1/xxtvvcn71gpdPn/K3v/gV1hu+/rUPWM7WfO3dhwway0spefutRyyMIncNT3/+Nzz/4lecztYpBvHVa06WNXu37lBdNJy+eEYxrPjm19/g1n7OpBxx97/6F1izZKU0zTpp0AKRyfY2B3u7PH/+iuBBqueMhxV10xClwoZANRyQFRrvHMv5DDNsGeyMuPvoLYaip2R6fGtZLZcszq949fqYTx8/pTjc5vaDQ+7s7rO8PEFryasvXtEsFkzubPPo3h12x7tIL2jqFc63nVNvpFk3nceDYDlbsG6vaNWAl5eWjx4f8+aDCT/41gFv5AdYF1ktrvAy0tRLQhE5vHeb/YM7jIsd2vmKdt0wv5hSh4Y7uzt4++tza3+7/d1vvT42xkTh94hEGbeWLMuohiOKwYhqNCIiWK9WzGdXONMkim3WFxPQ1pf88if/GplJ3v3mH5JX2wiROqHGRayPmNC5+0tBIBW2yYOilxDG666+gD7157qJcM0K6F/+1cL/hmxA3GxcpNi2G5+w+XzExl63615fv7fSAUSKbM3bxEwJETyKmBWAQ0RPXM+IUneu9J4QBa2xuBAw1jGbXuLWF0RSVzW6JtGQ+wMRYkNLT7XGv7dOA/rIMuioyN0aSnbFel+U97rsvmuftKjXrvn9h/afL0TiYPbncRPj13121zrhK/p1rhs0fSe/Z2GKviMvUqEdY8CYxIJEgOo018vlgvPzs8TOu2HyfANt6c6n2BhQ9ydHbsaCG+Z93PgZ3fGIr3T4U8GXNOBKKTKtOgq82oAVG6p3NwjpsuoWqt1nKpWkjEpJqiJ1141JhX6uVVobKpLRqQ9ImTTyRZ5MiwWR1tiUmpM5hA40xlKUBVJqsrxAG0+IDtGBbEHIBDbIzr8qJsCA0P3dUaFdxzBEOjKlyWQkyggZZDKgM0GIid1Q5Emr7n2OFBFnWrQWZFJR5hXGOl5fXDGrHcYYpDNIfMfATNLiouhkLSRvDyU1g2HF7d0thmXGMMsYF5K8G/tUpFSEKFjVDecXF1xeTakbu5GcuJjWz1uTMW8+uI8xLYt1zf7ubgLAnGc8GlNkOfPFgrOrOdNljV23CXCJkYaYkrOkRnRmjoWWKWGhf1b0zxgSGOWdJ4SQjCOFQItO5hEFGkfcrti9tcugylnMpnzyq1/y9PET9g/vAhLrHG2bilARI846lFJsb29RlTm51hvwwZiGH/31X3F5dsx3P/w2D994xHxZkxc5i8WM05MT9g72Wa+WuJDqm+Oj18n3yTkGw20mW1sUVYXOMvb3D9i/dcDV1RXLVc3l5RXPX7zk9PSMKJJEsDFPGQwqtsZDtoYFd28fcu/BA+7evc0f/cPf5ejlC7x1aJmkDDNj2d4bU+aSLz/+Oc40KNk/Vzu2k5Q45ylzTXBDiB4/qhgOKiaTMTs7WxRFRh8Y751jOp3z9MlTXr58RVkN+N63vs7sasHHyxdUgxJjDW29ZGtri8M7h4xHo5SKEQMptU1Sr1e8Pj6mbgw+xMRUWS2xzrOqG9ZNw6Aa8PX332NcTlJ8olnR1gucdRTVmOF4h3IwQeclMQisNZyfnlDXNXfv3UvPy1+z/cZCf+US5ds4j3CeQVl0J0rx6PabTPb3aY0Bb7De4RnijaNe1wjf4q1L7os+EL3n2fFzzv7P/wd2Dh9x7433yXYO2B5kNEEwX6ygXrJ9922G+3eJedV15dNFroHo6Ir6mLrPXWEXSV2+nidwE+2Oonf5Z/NwT8U6PbOpm5e7zv7ml9fWKAgS0s0N5oGARgR+9tMfMdYLbLMEnzq7NoJt27SA1TnLxtLWDdE6pBK0Hi5ny0QvC4LGB754fkzwkRgVl8uaZrVKxhPWg/MdmpsWO94FhAK0JoqI8RbhEyAzHG7hui5EViiKwYg+fi4fTaiXc3a2D1hXI3KVaHTGBXxdg20pioq6blBK4SR4b5FCkkmFKoaJrk9EqBypC1wQlMMBzlhEsIlmlGdIqdFFljJWY2Aw3qEWCyKQFQOKMiKUxNn0++AcEkmeF/gY0HmFNZa8HCK8o6lrgjNIXYHUFHlG0za4GKmN6Vzgu/xgawl4XFghhUroLYK2tZjY4p1jOB6DVLyaTgnOcXx6jC6ypNP3aeGihOBkOkMA1gXyTJMVeQI0rEfqhMbn2XmKEbGGQgl8TF0SQZowlXxJXg0x7YpMKga5JitLZD5EyJyzxqMXBjhmOEiURaUUuRK0eoSNUM8M6nyKIOKCTDTJfMS8XrMzGLJaLpHSIJTHCNCDIVmenOk9AtEVl0JAkWkCEh8jRg7Y3ymQQQIleZTJFFF6qsGYoiiYL2bc2bmDbz17kzHLyxl71W30bc/51RJ1K0vmi8enGO945433ubs15e6tWzx9/oLRYMTJ2QlkOXmR8e333kSEyN6bO2S7WwiR04iMuYvUi8ju1gHVZIfaGG4fDODohKooKGvN+7fvMW0cC1b87u//CQfjMU8+/4R5e8XW/d/hg699jZcvnzHa2mFUDHky2GF2+po97XBFi9q7Rz6ZcOdgzMnzL5m2kcvzS0ajEW/fPaRtGkRe4Nopo+GAqippW0NRDQi2BQSrdc1IGaphxQfvvc/JaSpAt6qanQGsL684fXXEj375mFdLww9/cMBgNGI5W5CXJaY1DAYV0TuOX72iKCvevH+Xo/Oarck2NGuunn/OlVvzH//zP2aLjGefv+CLL1/zyydHzK/mPDs+540P3ufh519w9Ow5tx7eYzAccnJ6jiBjuVrw85/9klujLc5mK8ZesFwbfvXTJav5FbZdsDaOqhpCMaSdOo7P5mi15tHX3uXg9h5fe+8BebDoLGN9Zbk6O+d//r//31E5z6tPH/PvfvRXfO8f/wF39m5x9PSYamuLajgiK3LadU20llfHRwzKgsnBNnfvHrBX5bB8wf7hGNqIE55I6poYa1lMZzx79pxzs+Jbf/QdHh3eZfFqzi/Gv+LCrVFSU0xGHN6/w8HuNqWQBJM0m8FHmkXL0bNTji4uOJ6fE0WkXtasmpbWB4r5CdOLFeXeA56fCN56Z5+7xtK0NaZd0UZPuV1x/+5blJQEb/HG4H2gXtUslmvmyzVtU9Pq38br/X1ugYjYmOjJpGceDNg/OGC8tU01GqPzHB8iTevIVisoCprlguBMl7OX9MBSSLyb87d//S/58ulHbB8+ZDjaQeclkBggzgd29g7Z2jskK0cImSGFgs5gLBX918734QYbsO8o98a9fRTtzaVYT+Ml9o0DQKRVzXXefN/CENDlbkvZF5JJF+5DTOwwt+b1l09Yf/wK1UyJtsF3BqZ4h3Qpt9mRWHRr41lZz8p5ZuuWxnnaELmcL7mcLlIsLpG2bZleXdEas9HCb0CIrhaP9MlHnWwhstFHg+yMdDtjvt7E9kYB3PsfhI4mLqXvYtw66njomzyxDw++UTCz6apvHPG7f/fUfOjPR9hE0SWqdtywK3pZfE/jlzc69unkpe6pDz71KPrj7htPm+KeDfNDCHlj37iWf3bH3JtQy37t2W/ddbEBUWDDhLjJGOkp7zF1Y9K4yuvdocu0T7uoKMuCojNBDj6Qacn2uGJY5sl93ab1baYk40HOzjCnyCR141KXdSiJJvDi1Sl5WZDrFNGbCsaI0hnaJ9aq8+m4ejPG5EYd8RJElMiYYnN9gKIouLU9IVeRECxFrojB4bp0ouSSrynLAkSJyiS+bShygXct0Tvu6C2aKJjXIjWvzJpxJbi1P2GyNWC9WnM1XzBbttggGA9H7E5GbI0GjKqc4ENqgEiRahfnsD7SJ56Z1qb0sSgpsxydZZRl3q0DFfcfPODNN9/k9PwMeXHBg7u3qcqcGGFvb59MaZ4/f0GeSQ52xzStQStBVRaJmWQ7irgPEDpTadlliUUQXcSl7MEukTwBjfUoKajygkFVduOt2NuZMB6VzBdzPvrlr3j14hURwWC8RVZUZFmJVBn1eo01Lb6LTdZSfwV0apoVp0cvGQ1yvvHH/5CyLPjys8/5/OPP+NvsL2mMYbWu2dvbxgXLbD6nqipW62ViELctIQZUlmN9ZLla0TQ1z54+w5gvWK1WnXa9Ic8LqrJA2AZBy/5gxKM729y/c8DewT6DrW2qQjGuNG/c3eUf/v53eXD/Fo+/fM7//f/xr/jmdz7ga2/dwzuXuvgiJr8AkqFiFILoA4MyZzIoUpNtOGAyGTIaVinJQSTBdts0HB8d8eLFC0IIvPfeu+zu7eKs56e/+JQYnibPiBDYP9hnMpkwGFQb5jchsl4uePXyBRcXF5yeXuBC2p9kqpmeCYv5lOV6zWg85o2HtwhO4zE4Z5I56WhCWY7QWUGMcsPAMc2aVy9fMByUlEWObetfO3f+xkJf3XqEJlIgKXRCxHr6k8lyVj6DvGCxXOGMg2rIuNxnArTW4GxyPDQuYL1HxUDrPHO/ZvbZj4hCUWYZUSra9YqBlpjPf4IebCEH2+hyCCondg+M0D1QVZd5mSYTSW/Wp7onnFYS3z3QZVfQpLfGLlM9zZZa6tQliC6V9LID6bsHqUSQS8iL1P0dVwPqCK1pyYTgjarh0a0LVmFNUWicddjgqVtDdMk4LkhYNmGTe4iE2nim0yVt2xBDpHaR4+NTgvcopVmu2nRBuEQhI3SOnDGZrkQhcMEjooaOghSDR4R0EwWhkcGT5TnrxiJjoBxPEEpiW0P0gbVpsUKmMFqpMc06gRrGpJzvEHDWpWzZjlEglIGOiodZp0xw7zDrNUqpRCs3Nd6m+Iqs1in6DgF1m0xTIvhYo1VGNSqpTYtwNvk/AELl6cEaBevGINY1Cc1MRj7GBiSS1aIzpek0UkWZobwmSt3p1XKc9xCTwYuygSAUw/GE1XzOurXE6HDWIIXE2Z65keighIhHYGO76SRY79A+5XJ651BWJLOWkCGEQkhF2y0cgk/XqO8XcXaREgeCxUaB9i1muqauDZlWlIMBxMCtvS3yXGLbwNwF8mrIaGuHx6/OUkfJewKKstSbTkHdBq4uZkgBW1sjooyMqsiyrsEs8dElOYcqUpSdFwQp0FoyUQOW8zNy61LX3VsaYxES6rhkSyoa07BaJbdSmeWIqsJEQ5UH7t/eIpDAogd3JijhyYuA0SUxXPL+W2NckNzePSSqdJ/69hIhMrI8EJfHaeGdVYzcCu89V80VOlOMBNjQ8Oj+PoNMsvPBG1SDivsxIkJgS7cI45iMM4bjfURzyevPf8F8ekozG7LKS/zymN1xpFWa90eH5JNdgswptWHn/iQxN752G2tacgkulFSDEfW2pLGGqBRGeop8jpMeJWEZGpQA6+fMX3xEhUcVO2yPJ9iLVxy9eMGz8wXf+4MP2X2cADzvA4e3b+OtZTGfY61huVgynU05vLPH419+gt1/wNC3tNMVNZZvfPcbDCO8ePacn372jM9PrjifLjmfrfBa82aec3Jxztvf/gaP9nb5y//XX7B9sMtnXzzl9qNd/vgf/QHbQZL95Fc8OZ7SOKjX5wyGQ85OTqh2txhUOe+8/YBv2EATInmWs3fnkGGumZ1fkCmQMuPnf/srGJRsVfBg75BbheCv/uLPuH1L8603Dvjg0W3WjcMEgReKps7RwnHrYMK6BWsbXr88Zj3RvP9om9HOHWwsOvfzQLuqOT4+YY1h/917vHdrj8OtQxbH5zx9dcrx1Xmi61pHMak43N5hkGmCsXjnWS/nXJzMeHl0wtHROfN6jVMBaRXLecPV1ZTtOzuMCsHxq+f86otP+fYf/oD97ffBw3KxIisl+/u3GJdjClUiPcRgqddLTNOwnC04PT1jLWas5kN8+K3r/t/nVu7dTQtQpVG60+HmOVmWkekMlMLQ6Y+lRgzGDPMB+a4hWIt3Jhl5iZQDLrq++KJdMH/5aVoIRgjO4du28+AoKMox+WCM0mUCT6UiyuRIInsvoA0ZUd7o0ve54hK5MQHmujsPXWf8OuopMQpj0l13nTzZFXGiM/1KsV7J4TyZlEGGxZWW7WpBxpQitoiQGgnOJjM14R0pMxtam7xzlsaxsoFVY1kZy9pYZquGi6sli7VJudTO4Vyn0b7RAd/IFW6AG3HzvwIRUiEeZEx/YprXdWRD6e91+j2FPxX2ftPBD91COoSu4I9dHKZPxY1Svd6fjeZa9N3kvrMv1VeKauJ106f/kRDJWHXDONiwDwR0emhBTN1beheGvhAX18Nwo8kkOvfxBATcAHM60CB2+9GbNt5Mc+pf029JZZmAxdgDGiTJBjIdY7fTXTxxiptTWoNQWGdxLtKuA4U2yZiwNhRFQesFRWaxzmNcJIoMpRRVGdkbC8YDjTGpONkJimEx4HLeYGcNCEFr3IZ9kZKTFJmKgEJ0TS8pJdY62rbFeYcQnb8xHqkz9HDMvHFYUzPIIgSJM2uM97QmUdJVF6EXIqzqBCQPqgzZUbOV1hzsjNndGzEcDplNzwlmjsSymp3jo+f+4Tb7O4HZfM2gLMmlw8zPmM1TagUxUpVlB6RprE9dYDr/hr3dXQ4O9sjynLIakGUa7xNFf7K1k0A34wjWUK9XEBymqbFNjZKSxewKSWB/a0gIBUrKxDKIAR9SDGCijSS/hNSY9JukhpQ8EhHeQ/S4AM5116iATHqKokggjHRcHj/niy+eEH3g/fff5XI6Z7y9RVlVZOWQEEHrjMX8imbdSTRiSp4YVBWSgDENVVVw+PX3ybTi7PiY06Njjo8TAzZEQV7mzBZzJns7DIYDdnd2EvMHQMLhnTvce/gG3gdeH50kKv7sqmPspu8bDgru37nN9niIDLcZlJpBmae0BhmwqxkNAdes+OhXHzOfz9jfG3N4MOLyomRnUvHOG/fZHhYgqo4tFGmdpzYuSTVCpDUmpW5FixIDdrZHlHnH9uruu7qpOTs5YjGf8eDBPSZbW8kXJnjOFpe8OjlluW4RQrCzs83uzoQsSwa/zlusaTk/Peb5ky+p1y0BSdOme6xuDU1jGI0yJHA1vaJuLfcePEDLSPSGKD1FnlOUBVlWJO+pzizcGYs1ltOTI5bzGQf7+zjTsp7/Bxb6ZnKLYZEhi4yL+QoJ2AjROUqRoY3G+kAIBUIX3USg03WqHTGPFFpzb2vC5aqhdQ68R/r0MPQh0gZPRBF3IovOKMNED76hNB6VFzSmpVAZgoAWgrVxWBfRwLAsmDdJX+J8MvHYqSooMq7mc7wP5ELShmTEobTGh0imNFopooBV3ULs49gE3lkymVCdQVZiiRSZ5tlpixQSFUELwf0dT3k3Tw/QeoWPye0zRN8pCxI9xnnbLVBkd/EZMg0IjXcBg08d4BCJ3qaHso14IsKlIi3KazQ6OgdBp5vdJ4g4hoRGWhOJMj0kPL1ZB7j5HKXS5OCaVDy3BKIzaWILEITEtQbhHdYFXNt2jIZIlAGaVXI3Vaqb2D3IjGANUgicN92kKXERgk3AhHUBn+cgAj6CaR2ZNlhrMK0hONMV8gJBd55ajXWJniSE3kzSwSVQprWGTKYcd+MdbtGSqYyo0pgKfDIjEoLgXKLixYira2yHyIsoOs9GgW0NoVvMREHn5u+JdZpklexQfpV4Hd4nI8pMSrJMbYxwADKtCS5938H+Pv/on/wjrI/81V/9JdPzc4RqUZlktayTtCVTqOUyAVi+pegc5UP0TMYT7t5/k3Jyi5dffo6W0JhkDFMWOTu7uxzu7HL77n2+fPIlK9tibANDSW0kl+driBbvPXle8P4H3+Ts9Jj59DzR3x6/ZLS9jRg7zi/XCBEYjrY5Ozpia38fExpGoztMT885PTtme/8gPQgXKw5v3+P06CVNu+bOvUecX1yxWl6xtb3Ncr4gH1T84T/5z8ik5M//5X/NbH6FiD5p2fb2UESiyqiGY3ZKqEZlok9KRZblVLnijXsCUY6RKufq/IRmPaNerajXLa+PjiiKDO8tPsJcS45iwFpDVlVU4+2EgIc0mYTgqS9fo/OKNqYoJtde0RiL9ZGyKqiUIJo5EBmojFXruLi8JCskyqXnRBSSUksUUK9aikyyPz7ALc45fvWMk9mUD37wfSbOcXIe2J5sJRPH4FLqgYy49YrZ1RXBOFazGSLL2CkKclcDhrfefhOzXPP89DVfPDnho6fHfH46J+Yl2WDMe++8xX/1X/4LxgSa5ZpP/vaXPL+Ysr23z3BU8b/4L/457+7t8/gXH+FMMvDMc8H8ao6Llp29XWKXO7K1VTEKARMk9brBXb7m0lqcNckj1QY+++Uv8UROn32OPX7C5fNL5nXDsy9eka8dvnE8eXmGzzRaZVzNFvzxH38fu/ScXC4YjivG44pHb9xmZ1JhLORVTmiWTK+uOD46xpZw+OAOjw7vERtLfTHl8uSCx58/Ze4avIrsHe7wYP8AZSP4QLtumF1ecTmb8fLpa8J2wde+9xZh7vnpTz/j1fSI2XKJIVAWOQjJoFT4kzWz2RmE1M0f7o6YbE0YDccUIsM2LT44vHWY1jC/XPDpzz7nrz/5Oe/93gOmR1Nqb/lHv2kC/e32d7rpvfvQ66yJREIq6p3Ht22aG4XsjFIVQWaEPCfmA4RMjvIxpvnSR4+MySxN+psU9JDA84G71vQiCNITqAm+gdCT7OVN315i9JuiPXWg2RSrQEchvKGxByJi8/u+YXEtAkzf3b+OzfvS/CtkymoflRm7pSTbVWS6JcQGE0zyLQlJyha79Q8kICQZh0UyGchVoMrSd+VZjpSC6aJGCIGLYH3EulRg9F10KW5o4vtj6vdPdHRJUkctFfwR6SNSBqT1G5D6WqRJV9vGRHntPyv2RnE3oshIrELZNX3EZp+uO+dJq37d3d+g9d1I3jQE7Dtk10V4z9QIGyAmjU4qyRN7o6Pwx+67eolAt3d04Eyq8bv3i/78dUchNpzR9J39vm0+O3bMgY5JECPE1NgRbCgg3WepjdGh1CqtNVWX066S470Sgtt7E/7wB99AE/mrn/yS46sFzcUK5x1t64hCoooBOi8pK8nMOapVxIeAFoGDtefO/TE6Kzi+mLFsI7VJTNZhJri9W3H39m3whvOrGTiL9BZcJLYtmBbT1HgfGAxL7tw+IKvGfPLyiqenc4Kp+c4buxSHA9q2xfruu1VGnqeCp27btK9AEWWiObuIsJHLq5omGA5liukN5CzrJa5dc+vwFj/84R9TlkP+9qd/y+PPv2TV1mQiUJVV8gHIUtqCiJEYu2i7okTlBba71jOtUmoUkvOrOdPFijzTWC+oyprFbMZq3XB6fEpZ5JimodCSMs9YrhsaF1m3Hu89RaYYlw0yJoNBH5LkRhFQ0aVUpu5Slt01FmKKOrZBYGzAuojzYG26rra3PQd7MF1c8eLpM7yHb3zr26kj/MWX5GWR0rPo4gi7Zl7waZ9E9MSgqcqC4aAilBnOZZh6ydHpMZdn5yl6W2ssFiEle4e3+dbv/C73H72BtYajVy+Zr2qQir29Pd792tfZ2b/FfD5nNJlgrGFdrzCtJwQHIjIcDBiNquSZ5FMDtlm3+NQcJy9y9HyBVwXPXrwiBM9iesFFbnj25RMQmrLM8d6yrC0vjs+Zr1p0lrG1vcXuzhZ5ofARylyzsz3kYGfEeFCR6SRrFSL5C12eneKt4f6D+5RVleIkmxZjWp6/fM3LV2dA5J13HrG9M6Eoso75a1ktZjx98iUXF+dsbe9y+9E7LOZLnh2dY6yjrg2tsYzGqabwzuGMSekASnaGnIn9mne+aDFGXAh4H3HWMp/PE0vg7JyrqymnZ6cMhuWvnzt/7W+AajIizzNuj0u2d8acXi0ZRccgi6xaaJAkzXdgt9BEnXG+WDNQmt3JiGxQ4ZzHxPRZpm1x61UXayLAGEaTIdPVOmUdKp1yBIUkoinz1CUXmUjdvxjJgHu7e7xYrAmrNcVWwTATqGzIdL4iCLgKLbK1GJW686FzmY8kdDqKQFXlkGfMFiu8EoniLJKrtlAaG0ELMJlAqAwTPFGBjcnUZ1RVjKsIJE2ziiC1QkRBLhRepWW0UBrt4yYntHcczY0l1wVeO3QpGI8XmMYQgicznta010hzDBA6LVbXIXbGIqXfoGZpT6CTL6KFQATXR7omUwkTu0K67xBAIJkCxhAS4uW6icXHhCB38Tshxk57Bq3rqPKkKDjfpQsISOyJmKI/Wn/d3YhC4YzZ7KeIMiFf1pKkFxLRPWwQKdEg+lSQaxk2FLa0GJAIAi6AD4YQfeeaDN6kjHZI4Ec/XsG41LGXibaemByRGFIHIKgCQ6LZRZ0KuUVjiR0jJOnlNFGqbr0QUVrRSnBdlyUED1KgVA46ff4bX3uft99+xOU6UH7+lGAEOkiu1gVxkCFVIKoFUYLIM06FhMajMkWVacZ7h0z29vm9399nkJcsXj7jk9jiIrz9zhv8s3/6J+zs7jKdzrlz/yEq01SjMbnO+fTzLxkPK376y494+uQx3/7W1/n2h9/n2fNX/Nlf/AWz1ZI7B4d8+MM/YHs84M23vo5vLefTOQ/e/ToffudD6vWak9dHrGrYyivuvfUBp9MlW3bOG/fvc7m0ODnngw9/yHy55m/+5q9559vfIXrP9u6Er33wLUql2d7a4vWnP2U+PacoSxa1Ze3h1oM3uLW7j6vP+OKzJyyC5s233sUFwS//9secz6d897vf58H9+zRXltPZER9/8RqVZfzgd3+PreGQn//kR1wtU2RaniejwbsP9hkP99HRcnV2ysW8pvWeXMM7b99jeX7BbLbE1DUr44lE9MpT5hm58HSKToyPzBctXki8aTmbLrDWIaSiKBSKSFZV/PM3JJdHr7laL/jG733IrlI8fXyKy0uqwSDdN+sabyzz6ZTL01MupzPOri6Z3H2HcTmiXTU05RaTwrE+W3D06ohPnhxztGhAK7Z3tiiG22S54k/+6R9StjUvnj3n2dNXfPTZMxZeMBaaH/6D73JnWPHsk8/58c8/wpQDcgzWgVKSxeUlsirZ2dml0JrF5YI6pgWiDYHxUPH+/UnKLlYgreX8F4qn7ZAiL9kfSC7Xc8bjAT/88D7vbA1Zn7e8ePySk8sZSEl1sIcTA1we2NsriMIzGGVsDXJM3SLH28ynC9rVnNnsHMaKd999m0HIsPMVZrVmenHJbLXmxasjamsY727x4YffJPOC6A11WzOfzjh6ecRZWPHoOw/Y2dtnJIe8/vQI0ziWyyV12zDaGVGpDIVkPNni4bv73Lr7VmJF5ZKd3R0KNMIFnLAJNXcNZt1wfnLJ6dEFz46OmK4WzOcr9kcDHjzc/U3T52+3v+NNjLaTu7kSKBLLTYu+WA5d5JcnxNBp07tCO717QzNPLfVEdxYyJold7GjYIRCkR6oMoHveC7xInfUgU5e2B3Yl4gYVO3T0/RvFaYjI2BuE9TLCfs7uqPk3in6gcwa/loWkkvn6vXRdZNF58+RKsZ3BThaohO++L25YA0mrfT0n9pJHBZQSRBaQWqGMSmulMnK2tDhZYKxnuVjS2lVXYHY1rIjIfkGwYSf0rezr7vmG0Y5HyARyShE2jIBreLzbek+oDfDSAyf9GiB9d1pTRKKPm8+S3c4JUmOk465vqOuQXO9Fx6FPElDB5sLoOuoxJmp0isbrC/b0GUEoYteUuGZldGPbFfaxe003GJtOfFetda8FRNeIQKQUos2VegMIEhIhVGJFksy9kiFtd8UI2bngy7TuUV0HWqQmRqL9x7RG0ZL9W3d5/913qHLN+bxl8dkzausQ1iNVYitEVeBURkNBdBm1SM2iYaHw2ZCd3T1+9wc/gI++5OMX55jgkJni7a894n/yx7/P1995g/OrKT/56DHBOfa3UqzserVkXTecnJ1ydn7B3taYt998xOvLOU9/ccbrpWJ/csB73/6Qh7cHXCxq5m3yzSjzgt3JNoOi4PzynNWzFwRgsjsmi4ZcC4qsQJxcMl207N653d1/faMt8P5bb3Hr4TtomfGN7x+gdr/k/OIigSIkzbOUkA2H6JAkoM5BJqG1juPLGc55JqMBoypJUM4WnuMrR1VpVAXbEhYtnK0Fl/UaLddoAnf3xty7e5t9lXF8fsHjoyumq5Y7exOGZUb0IRnK+bSWlURk7HX5XRKR9xgDqyYwX3tWBuq2A/OiwMVkfvzodne9N3OKsuL+4SFlVXB+fkVrLNujMdY76vWKpmlZr1Y0dc16vWa9XqMI3fUIWgkaY1hcnXNxesTl+Tm220+d5xQD2N3b4/u//3sc3n+Aj/DxJ5/y4x/9mPPzK0bDIe+99x6D4ZDVYsGLZ085PjlivV5j2jb5IAXfyU+gdp7YOnIBVSapckWhc6TOUTrDeIFxMJ6MyTDMrq4Q7YKzk4suzUxQFiU2SBarhlfHlwzHY8rRFlJmxBio1y0yeLSeUOS686dwGO+o6zXTywsEkb39farhMDGaY8QHx2q15LMvnnA1n/HGw7t878P3yXWqeYyzTC8v+fKLzwhB8O4H32H74DZK5cSXzwlRYGySY4cImdLkKkVOUgqGVUmuJUWRpbWlSlHm/bPPh/RMatua05MkKXj6/Dk721u89c4b3L9/79fMnP9/aPRXzrOoG4RStM6xKzwHgyEzaxO7REoKJbgzVhw1FpUplq3BrQSibtgalLyYzchkuvi8jygkRiQqUhsCQqWsyCgEzkcaa9ExYElIzkgpxnnO0jpq4MvpHBEch1sDJuMBuYx4JHFvhypY5k3D0nhC9GyPCmofaJqaXHqCSuDBwmmK7tk/GmgGxZAoNZLI2jpqY3HBoUVM0Q3OEKNNNDlVUjvDKI84Z5lNZ0wKTcwzmtZTLxP7QSuN14K29TjjMLaFkIx+QkwdviCSkYRWkqAlSih0Zomy7SJ20hhIIRBRIkTKFReim6REOoiU8xjAOUTwBJEKU92BMdGlySQKIKSFEdEn8KCL2ouRTZ6p9z7lr6r0oBEBYuj22Qd0JvHBkwlNiEmXHnXW0QvB2UTbUKIDW6LCioqoNEpn2ChBRkKWoi5iBKEynEsTsNSa0WiYunYuUcOSlCFRjax3BEQHsGS4CEJ1kSAkoMJLDQSEVClvmUiUmigDwbsuHzMhs1IqjEgLvaEWfPj2Xf7syzNcEESZE7WgdRYvRBrPGNAShCpRKnXw0+JGbSbzTEQWapv/43/9bwhKE/WI+ajgnb0JRy8uWTuFVjle7aAVBJETlU4LTZlM/f5gcp8ffzljUVvO/QFPveVUGIQU7DTb/OlPvwT7CX/z+CVPl4GDKuf+zpjgDJ+dLahd1wnwezz/xRX/l5//dwQHNm4DW6ybkvO/eMw7t7d5fHrBy+matY1MBgXf/uKMvfGIv/n0OSeLJZOtEW/VT1HB4oXkvHnJJ6uco8WYy//+V+yPhzxpJqw/PUmupEGQ/eu/JdeCdZSMqpL5WoFwvJq1ICK3Xj9la3CEloGLueeDh7fhKhnznGWHqIdvIrduc2UFVo942RY8Ke+TlyWTS8vq1Qly/JCPlxe0PqJNTqYFNu7wnUffoCCgRud8/NNf8qurNWWRkbUjFsbxqyuFCQN8N7kqryms6tCydC24EJFykpZZeWTwQPFgVPLZ6YyrmBxzRwNJPZ+xque89Y0P2K4mnD494pNnZ7hb9xkNS/Ce4DxNs2a1WrGom+TA6hxf/upzfv7xF/wv/zf/K3YLS330kieff87xqubeN9/izVXLT57Oyb3gu9/5BsE2vHX3Fq2zDIdjnn7xjEXM2L99G5Tn/Tfv8ur5S46PThkdbPHq+SlnZxd8+vlj7r37BioEggdnLXU+4NVSkGlBGdI5Or5YM59PkdGhckUpFXb3kA/u73Fxuub5dMbPfvIZYlDx+tggTEauhtx75x3y1ZJIgLxkubbUK8PlxQVRWN568z3E/JK5NYzH20Rn+Pijj7n9jfu8f/8+w2KAXzU0dc2qXhIlLKYrXl1cslqveeetr/Pg1iH1fE7bLrGrhuOTc4pbI76xc4dBOSRTGXblefLFC15dXWCsxRjL7dGQvCyJPgAe5QKhXpAPJHujbVQUKC0geIL31HXNerZgenHJkxdHzOuGVbtm0a4p9wd88K132Kl+W+j/fW5NIEnIXOxkeF1HVia6NSpPDJTok2N0F9OZFkidq3v377SJTbe1L/IAeqO7603cAAL6YrDXiKemhVSy63L3810qyJzzGGdx1uFC6D9q85ld1czGPI5rmvhGv97/Fzo6u/cQktVw6L7De0HdRhYEClILzNlADGmh6Ltj9yFgQ+y6+okh6IgYD4s2srSGq7Vl1kQsGi8EAZXmyZjWHCKm0UkFaiqm6QGUNFCbcWDzp9//bg0iNsHG9COS/gqbhXWI1z8PMRW9qUnfgStdcZA69B0YI1MqQBSqK9BTERy75sY1nNKfWnn9R0qizEBnSacrE7CP0MlcTsoOGOjMGYnXwETXlYl9Zz/2ivu0Zrv+vg50kX3sndhIUpPPVCeJECCEut7/sIF7kDEiYpcT3wEcsmeMKpXilZUi17KLpLMQAqWSzEXG//VPf0VdN6xrg8n2iXlqSqh443uExApJEBotNJlWmLLk6ULzbz45pyxyLtliLhwL6VhGxS9PApf/n48I//oXnF8uuFw2xChROktzakyMzgB4X6KfG8qPPqduW6bNiJBt48oRPzvO+P9+esbR5Yrl2uFcRCO4tTdhZ3uLq9mUi9kalRdsbxlyFRnkknEluZoWTJee/Gye2J0x4r0gBsFfPH7J9r89RwlYO8/CemZ1pDF1Yvh0nkuj0jDIFbnK2BmW7I8rMg2zcpyKsp0t1iIyXyx5ZRvOgkY0istzyWAemC8LFnUi26oYyERglQ/Zk7fY39ulqQc8W9fMa0VbD2mXFcJKmhoa6zG9IaiLmAg2gAuCECCm1gJKZsSBhrFGyxQFaUyLdA1hMiQUknFVMBnkDAYDlus1T798gi4nVKNJisRuLcvlirZtaJqai8sLlrMrZExs0b39XUxTsVpc0q7nZJnk/oP7LBcLnr84Ymtnh2/+zjs8evsttnZ2Wa1rLi4u+LP//t9yeXGFzjRvv/kG73/wAUprltMp52cnLBdL6qbGGIN3FiUlSkuCEMyMYOaTP1UVIkWQYDJiF2vdpEcf5fY+SsLR+ZIzHPPaE4Vi1VgsmnxQ8PDRm+TjfXwUyKykNsmM1HqP96mTHrpnqrGG1XLBYjZlOBywt7dPUQ0AsL7FduuI07MLPnv8FK01P/j+t9jfn2BNQ4iR2dWM46PXTCbb3HnwBtVkjxglbVPz5MvnnJ5esq5brHWbCM0YPVpLdJ6zvTViOKwoyxKtk9dGMsh0GGupV2suzy949eIV88WKs7MznA98/YMPePdr7zMcDn/t3PkbC/1MRGxM0RkxBhpTcxwCF00ybRuojN3xFsNcYmODaBq2KsFaJQO0XAga65L/TR/VITxCRLRSBA9N29B6T0ZEZxleSca6pMpyPIJVa2mAurbI6NgdjimqgqvlLGVjWkOWCaRQ7MbAxdUKheL2uKIqhpwu1gxCYDAasw4ObxxFWeKjZO0dGo9Siul6RqlLdJYTgkOElhAiC+fwpkEKx93dXbKiwNiA8IHHl3NmiwXeNuQStNYY6xJt0DvwNW0MLNc1rtMxSaVpRc75dEElQWUFjak5nzW0jSVGWJuA1wWI5KKOVLjOSCeEVASKosRZn7rhQJlpXNfNjzJLiLbKug62SNQUpcmyvDO2awFQKkfkZdeJ8ESdI6UkBknMChSe4C0mSJAFMvpkABi7qS4v8MGnQl+qzshDYUIiToUuSnFnkLNc1ImZoDWoCoEluhohJFrlOCnQQrE3HHHZGi5Mjc51mpo7bZ4XkiAUwVuEUDgSxd7jUD4BBM4apIagMmKnO/ZdR0NIicKjosDHhJImqlQKWPLR4mPBv/pyQQwpExwPbWCzCIvdQ9cKh9IOqRQhJM+HxCKwiRUiBH/62RWRimTuZ3BoTus1Ug1wONpoiUGgY8cYEBnepexSlVX8n/71J8gsQ8qsi/VReJGRqYwfPb7kb55ME2VPgM6GHC0iR2ufvBdCQcp5tQhZctmIFPnnLVok5sHjsxapLL84qpFSYUNiYdQ28t9eniI5QciCrNjndK05WbQIGRHRo6XBR4UUY355GvCnS0TQPFtZoOjMmJLpnFYQlhEfUn65Cxop4MUcXlwZhJJINeLkiyXBXW5YKEoHfvTFx1izoMxzvMwxcptVG/m3Xy6SfERpopggCMQocA5+/mLFJ/+3P0VFh/Ue6yxRKZYu47/50VNklkPURO+IMsX/EOgSLLJOJxqQSoNNnyslNAgWjcGprTTEWjPJPPXqhHvvvMXeaJvzV6/57PEznp7Mef+t98mEREnNYrlmuljikUz2dpBSsJzPmWwP2To85K0HB9ijZ3z60cfEnQF/9HvfQcxq/ub1ay723uV7336bP35nj9Vyzu3b+4wGFS9/8RkrAzYaJgPN7Tcf8uDuPUYIlAl88eQ5ry+XNNv32b/TsD2qmNY1k9GQIh9wpQ9YyAnOWAZRcLcYsQo1q3Vg3lra6FAC9vd3uCvm2KtzjHdkt+4RQsPHp5aL/JA7e/uc5OecuZa6W4Q25y2Vb9g/2OPw9jZbtmF2dYYfDnFnZ5yeXvDNf/g9bu/uU0qJXddYZxMFrnVMT1b8P/+bP+WTo1e0wvHBt7+OWBum0xmz5RRZaAZ7A+6/9YiRGKSYoLphMV9wdHrBl8cnbBUCVRQpYcQ66mWDNS1393e4fTjicHeLyucQ09wQfKRerrg4OeXo1TGzdoHcKvnwOx9QWMVUzHj/3TcZFrsE/1uN/t/ntq6b1DGNG4I0kCjQsnMV1zo9yWMHPjsfE5AXr03d+mK0axtvKOLAdcElEr2bmEBgsaGFi03+uuykY72LO/QsboHsu98ygLQI6RBdVy7Evji8/t5NF5sEYmz0ueJa490vShP9i+44oXWOs2UE4znXLQNhIThsAB8FPoCNMhl3OVK0VxBYLzadIh8CrY3UrWPdWoyRCSCxAUNJLGQHigh6J3shrkt1sUEw0v4L+ug7sXlPTwcI3Tj67nNubom5EHpuQ3qfTDR0obKuC95T5btzSF9Up8+OnfFf8lwQCKE7HKKTPFxTMNI57jLNI32xrzdgQeqeX39f0uwHZG8OGEJnltZJKLsOen9Or8UJ/b6m62rzWaSUJyF6KYHcjF2PiEhEArBuAE49CzNGsN0xSZuijum8HIoiR2mdEpRiYC4EV3XHNIkCJcvrlAiRrhM2+57+KSOoAFkQrKPnZLXkR08XOGewPiE6goyI5PzVkp+9XGDaFi0EWmfpWpUGsZEz9LeZJDqPCKFLEkoGzsdLwbO/eEZjIt6Disl7KgLPLy8pyuWmoSJ15HhZI1WGFBbNGkLAmojzTWrgiCTJTVINgwizNEZakVUFQiq8z0BIgkuAwHRtkKlDRfDLtKYLyRBQCUEIR4kA4gwxglIp+lCuPAJHIEPIoueTQIi8Po786PQJxMdEBNaXCFHx4iggjhOjWTDorp3ePDGBgLKL0U4Gj8n4T8bU+MOlOEwRA8FLVICQT8gHklFRUeYSYxqeP3vOs+evePO97XSdR4G1rjOFy9I6B0lVDRlUOaNhRZ4pYvQURU5Z7qB1WqM2xhCl4Fsffo8Pf/gPkJlOEafOMp1OMU3Lrf1dbh3s8fDhwy69INC2DXXTdmFb6XoQMskgsjwHXdCQ0caS6DOiF4RW9vyGZCzqPZU0RDkk5i0z2+BspNZb+Mrz5aVjXbbkWUbtNT4bJF28g9L6JOYoCobDgtZYZvMlgkCWCYoiY3TnkLKqUDpPTdaQvrOp11xdXvE3P/4Fz5+fkGvFGw9vE3zL+XzKcrGCCLfvPmB3/xYyK/BRErxjuVjy5MkzLq5mQKLn72wl0Gi5WiGA0aji3p1bbI0GyQdPQAzJs2K1WHB1ccnl+QVNXTMZT7h3/wFN45Aq471336LINNY4ft32G1cqbV0jJSzrNd54ysEApRVFnrNY1QjlsCZQKIGLnqX34N3GTKUOLauYjPlMIyiUBqlx0SFEMngxwSXqtVRsVyV7wyF18OjouJyvaEMgWMM37hwyjZqT6Rw/l+gYKAYl56dznA/UzhJ9MlwYVCNsW9OqSGMdGsgLEDZiVy0iT4Ntnac2NbY15CrHRMnlfEomBOVgBNGitcBEhY6Wtg6smpa6XlFlGT/2ghiGZHKbQsX0cJOwVWVIBCtjmNdLFtaBh/FwRBAKFwX1qGVSZag8Y9k62qHBWogyRyuNbVYoqfEqI+suuOhbsujQeYnQBY2xKO+TS71WaJ3jnUmO+FJjraHIC0yMxLbGhUjUmnwvGSAKIkompL2uV1hfJ4mDLpEiR8WIF4EoFLlIqBrBJZp8uyL4lpCVSKHxpkXgsUJ0Gas5MngEAh88l0aQDYYbpDvEFIhHDAhvCICLEKPieLYm+DbNC7kC2fkzSDARBMn8Tne0thgtIQpiniaoMhvigkdGSxCSEDv6ZfCJsqMS9S6l/qjkwNxHMWZ5mnBDhJCSHFSWIVSBtW3qVkrbSUFKhFB4HxExdVeEEAShEFGidE7TLBHCo/UIEwR5XqaECufJVEVAQXQEkmGSDJE8K4GkD2tji7EOKS3B+bSYVQOkylFF3kW8RPJyiGvXEBzCN8hosSEtE1wQ4CxeerLq2j1aSYUkT2CRUrSmQVISokNGgc7HacqJAkSOlhrn204PKPCCpON2DdY25NU4MXecR2YFOh9BjEiR8lrzoiCXKuWIFqFzY4UYDTICUeEsaDVIMpEY8Z16JIgJddQpnsd7iiyjKDLWTb1ZlCB8kv04myb6rCDLh3gsiILofOfA6pHRJEmHi2ityDNFcG2iwQWTtFMhmWJJldyMnSWlZJAjScZ8oXG8/+5dbu1qtgrF5ckpn37+jI9eHGHVIHkOIJkv1zStwTpHNSgQ5CzPL8iGBV97922eHk+x65bTp1+w++Y+77z5JuZiwS8+e8Fjv8Pb797nh+/fY1JJdicVl2cXvHhW08xr2qjIcslitUIfX/D//m//nC0VOT065vnxJVOn2RuMefT1t7GzKRcd66axDlOmfSEElk3kS1sTfQI/JRlFTPdylnnai1ccHZ+Q33+f8fZ7VMKjq5InZw2fnL9G65xMViybmtGwYG9bs1NKgrVoEWkuTjF+yeDgkPH2Ngd3DtkZDYlNixeWGDzr2ZLz4zM++vgpT18d8fnxa9ampdwZsD2eML+ac3Z8TBgpHt69z8FoJ92/NrGu1vMFF4uGNSo9h7KkcyszTWwsbV3TOMf9+1v8kz/6ASMKnDWJXbZuWNcNl0dnHJ0fUe4UfPDoPfa3Doit5OXWMb/36PvcGhxAyK9tun+7/b1svr/Ru+J4ky4dwXedGoy70UdOFHr6TvJXGsixrxG/8qNNoQMQesJ9SAUgiTKd8sC7brkPG8p+CGFDE++LPERqckitOsf0boc7c7nY58dzjTVwo1Pc68Q3RnzdYr+vmYIPLBvLwhleBo+SsevmZmiddSCw6OXpOO9wnaTA9cZfIhJEJOqAE4GQpX1XUaEQZB1r4rqw723du6IkdkyHcA129AkvPT9CSpnWD518MXZd9NAX3cRrzXtMpmS9XAESkNAnJIXuvCSjYH9tGBz7IunalE8gEUKnK6JPRtgwD3o5YJek1P0s+O6c0+vm+w67gKgSECM6YKN7BmzYC5vuPp0ko/eTgA2boK93u0JObWCNbli7lgJdYlTsX9sV+oIO7AjXRoZJAtD5KJCuOWMMbrVO4ylSXJxRCjqpoUMRN8cGQfQAWjcmIlHCQ4BgfWKiSplMl0MHVnTHqQToIidGQZ7pxKjpJCxSyNRE6uSnsruGgqDzEEhjpHUHtqiMvExjqTppKZ0JpNKdRKEfYyIChwgxGVR317PWCQSTnTwHGVJUoSo6/EQgdQcEdNHYKeYvdOyDjgGiIlElwC8icDHifQf0ZVk6bhk60CYxkgXXYKTv2S8h0qK7VWZAabU515FkNB1Cx1TqZS8hdM+wDvBKD6Xkp0XyCosxrcMUgugjwUWKLGNYpcSli7NzTo9f8+TZK5yPlKNxYrt0LNayrFAq0cR3dnfJZGRQ5RRaoJQgeNuBDikhq16vkDrjm9/9Pu988G3yapjukzKAVUy2thgOK3KVcXVxxfHRKS9fHXPv3j3Wdc1isUAIwXg8pjUZ7XqF7JqkyIwmZKzJMRQJbAsJtO2oyGT9Wl1lUAzwVNioYZyTe7hSE1bTgJamAz9EWltKge0SuAulKfKctm14cnHKo/uH3Lt3SFkMUhzfhrkDzjqOXh/x7MmX/PRnH/E3P/uMtvWMxznDKmd6dcmrl0fs7B5w/8EjhuNtpMpwPmBNS920qLxkvLWzeZ7nVcFwOKCuG1arNVIp7t6+xRsP7pBpkXzajKWpF8ymFyymM9qmYTIacv/ePba2d4lC8ezZc+7dO2Rna0yMSaLy67bfWOgPq0GiM+qMdpWQjyhyWgtKpfz02ieqSYzpIpdSIaVCA0EmepbWRaKKCwg+dvQkxbgaYKJn2dZEZ1lZz/xqRaEUKI9UJYNM4UTDi8sVKs86dF0SvOBstiLLMoQqKWSB9QYQrBpDELCSEq0yLDCfLYCYqDekHENvPEoUCCHSg8t5Kl2R5wVSF1hfE0xLHiNVVuJ0wXQ+Yzm9QHrLztYBWTViHQUzF4jWpEi2xlMVBVJt0+qKoANZhEYVNNZiTEOgwDWCUFsEGsmQvNRIlSXkrBilR26ALAZknmHamkxGyCqMaRhWFUoKGp8Mo6INVHlBNZjQOElk1dHXQeehc7NPBXamFFFmeO8gOGRWIIhY3yL9mkx7ynKEDJ66XRNUkbJYhUcLlR6IIkuO9UJAllPlJUJmaBGxgA0+IY8hJP1asEghsD6gZKIgBaWJaKIQFFmeJgDniLIkRIsHvG1TzI3OKbME4mg80a3SgkIqQKV81BBxpMVCWlxEiI4YUlQOwZNnaaKSKkdmGjoKY+joZVlHx/cxdfv7LFlJjtJFikVMWY8c7m1xsDvBtw0XV3POFjUE0DJNeFJspUk4Jq2mi71b8BBERIWW7TKj9YKrRY3xhsKPUKrEpKNPx+gchYKdnQkXyxpnm24RKIjedRNQSnUwbYOWESkyvIBisIVra2JoscaCVOgqufzTpCIMATqvkDLHNytUnqcEAwJCRiKSpmnTWPuYpBIxGQ6GIFB5RWzXRB3QWYmp58gYAI31lhAsOQ4nFDaIzsE0Ga4UwyHOBaxvwRs0mkznCKFASda+JgJta9AyLWKaJplF5TpPJjL9ojCCzLIkifAB0ySHXx8lUSh0UZIrSXAW7w1SJZOqdW2pigItJT5ogm/J8xwp8jT5dqaWAp/2K0iMs2gVebinGUnB+uqKJ4+fs1KB/+iH3+Df/eI1SucgNbt7Q5aZQmmBMw2mrrHOcXjvgNevTjGjXZ4dT7l77xb7k5Ll+ZwvPn3Bk2Xg9/7oQx4ebBHnV7w8awghkGcSrQM+Wl68fEUYaHYnFT/+y7/mv/tXf8p/+b/+n7GX5xSTLQatADvHhJroHSrLyXQOqqLxDtusqesWj6eoBuQqUcpiSNm+KkRo1/i2pQ6BqCtWoaKWiisTyfOcUmdY27K2DieSFvbk9RGn7YI8k4webrNorth58y6H+4egJLnOEN6BhHa95vL8is8//pLPn7/ADiQH9/YQf5U6tju72yghWa9q1O6Yd998k1u7u4QmsZpqu6ZtU0TY5N5D/uR/+g5//Vd/y/bbt2C9YLlssHWLMY7B/ph3vvE17u4e4FYGZ1fEKLh4ccS0mREk3P/gPg/v3SfzGtMGFrM1TkUePrzHdj7Btw670d7+dvv72Hp2/c2C+LoQ6ozS6PphsTc2EzeKp74I64u7/ud94dX3hkVHkQ94uiKy+74eGAjxpj5a0GeW939L+gKQ1OkNaf7tneP7BJUeFKAvTrvoP6muWQRdU3ADCoSQZAneO4Kzyf8n0QcAjUCjo0IHmVKGhEgdQ5Ekg74zfuvS8BBK0jdzRUyFZ4xioz3fjEufdCSuY976mGICxK7Qj5sCv/t3jLiOZt/VvmkMupO6ca8PPbDRf+B18d4N42ZL5sZ9+kFG/8XX5/zal0BE2X1URG2Ana7o7jwL5Ob0xs33fgX86WUU3VyZOv7ixmd1bIHNa7vS/obBIteH8pW/NxZ8HU4ge7aCSP4N6RrqjkX0xf4NoAIQUqC0YjSs2N/fRWmdKL7T2YaVIGSv3+9Alw5oSGyFzU21uQe604P3SRssQiCSgPIugZr+IgoxufL3YxBDSNdZSD5QkLy3JHLD7pWqZ1kmRg4ySUpVJtHdEApUN/zp3ErZX4/dEAuxAco2wN2GVdHvt+gwHJfkp73xoe3ZOtDTgyJcsyV8x5i9Ca6lzgoiyM33hO5CF+Lab6O/DnvAJwAyuLQ+6QGK2LFyOjAj/ew67jEBXh3gc0PeE0iAQOikIr1UKMTIuMq4szci147VrOb85Bhbr5J7fTFkvLWD0omxojNNIN1zSS/fIgtJXTtiplFKJPlHnqMlLOcr1qsVu4cP2D64w7ppmC1fIqVMxnFliZCS1XrNl6dTmqYFAtP5EiEVWZFjrUdlGePxmLxV2Gad1tZSYVG0QdBGievALkUq1NN+pmeY6p5HHglaE9SIKAcpIlpnBJGn5mZITWcVJTpIbJB0IRr4EMiVZG9vh/FkRJbp62srCnyIONPy85/9jOdPnyUgomMTSeHZmYwo8hxrA4d37nL77gPKatiNbXLeX60WXF7OuHPvDb7xrW/xi5//jCLPGZRV54lQY6xlZ3eLNx/dY2d7CNHT1g314or5/AprLUVRsLO3n2L2ihIlFbP5kkxLHj58QBQRZw2up3T/j2y/sdCPThBkinAxhQfrcW1NrjRKF2mylKlo99aiIpS6pNcguSCSFtpZYrT0BjNCKLTMkhO41owHEwjgg6NUOsXedTdzfxPX3jD0ijKrsMGzcjXR2w5VTdmEhYI8H7AWJjmfS0Wmc2wUFLnEe0sUiZIrYmQ0GOAC4G1yU5cJBBChRaIpiBitqBcLrImsZgYVYGuyj8pKUparpJSKSkl8PsBai7UNcV1TFMkN0xiDzDRBeLJM4bxERk+WD7E+9OsEvHOIYKmNwHR0qxgFbYjIJqF7Xgh8vcI6i8KTVwOKbEBeFuisSFFo9RIfAtIblKo25mEx+lT0CkFtDRqbJqtgk4Y9Sxr65DjqkwFP4iZRKoEuctZtk7LgB9tY74lRoESG8o5MZwidI2PAekOelWghqeslRItSKXNV4VHZKFGuYsT4NrVtSfRoodOkmakRmc5orKOQaQKwtkYqhY8F1lokkjwbIEJA4olKJqkFYO0KlWUgq1ScEQlaMWsN0Rs0oHSJVEXnZ5CR5QUgU3Z6lqF1gcAnJ3tagk8OmdFbympMFdbkTnPe2I15XxSBssqYDDRnFwu8d0iVHGM7jgOqQ9+d9TRaYWKkLAcYqxEh4DFd3CIIdJcqETm+nG9iI4WIlMKzcpZ1MydEg85KlJQ0qxkSyWC4g7BrNB6Zl3ihCC4Q2gZjW4KzKAVZUaGyEtO2RK1QIuJERJIhQpcMMMhwwROcJQSTikal0VrjQkuUkaIaIqWisYFlXVMogWmXtNZRmGEX+aMSiCAk3rWYeaLZRdvgQo2TkiBykFDlFZAouSLElGagNFJr2jZ1n31w5GXRmUwCPqSuTPTdjFsAjrIapnu/c5yOQiJ8xEdL29Z416aHeYTgagTJlCs6T1ZNkHmBloJCJ1qoUoFxLhj6Nc1qwcmTl6yE5Q+//02e//Ipg+09xoNhQoljmljq4LBNw3y+orGOej7nag17h28wcpdsy5zL4wtenV7xsy9eMn7jbUaZ4+Xjz1isVtw62KEqC6pym9t7+/zy3/0KMdnBrmeMtkf88Pe/g/HwjffeZPXymNnLS+z4NjuFYxA1R/MFKivBeZzOCR0QOBiONl0c720qJqTsWBURicNnGXuP3mORjSmcSJ0OSMZlsesSepPOWYxs39rlYHiHLAYqzhnd2efOnTchKIJKmehtY2gWC149e8HZxRXnbsXXfv8DHt25z+zzY/58+CNqHXn45kO8jUzu7HN/e8LucIKOCuMtpq1p1mtmswXzNRS5ZHdvj3/8n/ynFIeC9ukLnp4d09QtNnjuHe5y69YBwkVM01I3C9aLFQs3o9qu2Lt7yM5wi1IPk/Nza5ieTYlVZGc0xLee1tRY++sn1t9uf/eb4CvVRVfkx82/+07phi5O31VOi8UY00J6Q5enr71Et9AXN96b/n9T2V9/Ib2p3qYY6oq7675t9103qOmiBxSkSl+lb3xDjJv4rNAxD2IksZ65LnJS8X1d8EPypxHi2oBtIy0gme3JLsmo379EQ742vBO9uaC4Qcmn0wNHrmUGG9pU2t/oN4N94wzJG0ViX1H/jxSRmyKm+8nm8zvLORE2gAA3xvlau359nNB5GcQOWIm9N3436jH9+aqZb1ccR6CL57u+xtIh9eN8fa30BXx33Bvjwetz2597eYOifpMpcP2KzSHR0/1vghn9cUpxw7fhxrnpxyLhKXFzvFmm0ErStjV26XDekxX5zSuYTZV8vYv90d0AxGT3sx6cSHNAzxxIRs7pd/2P+7FNr0m/CD1I0e2AkpKI6q7T7hfdgIfuuwKpmIMe2+iPs79Gb9xbG9Tv2s9hc0l2qODGBjOC8MmcL3TRdYmYoq49PvpTKvoTm64ZKXuGRxp/2bNAugKUCN6zkfjcOJH05I/EAum8FbovUkJ2sdmkz+/Rig1YwfUzR0R66ZAAREyQC13yhXOBLAbu7Y0phOXq6op2fsVoVLJ1uA3Pj5kbQVGldLQEzASMsThnmU6vMG3D9niLMldMxkOGgwrvDLPZFcevX3H8+jXD0ZDx3j2WqxXTWYrXk1qzs7vH1vYWr1++YHY1RQTP3Vs7TEYDtre32d3ZorXuGsCUCXxz1nbN2gwfRUoQkHRjnyCi3gtFdPeEluCFJ4pAQHasJZW0/j2yQrpOI4ogBB6Bi5Kc9HzJpGB3e8zu9pCqzCAmR3spFT44Ls4uefzZJ8wXK97/5re4deuAO0+f89Hnz2kaw3g4YDAYsn94i+FoDCIdVyAlg62Wc05Pjqhry1vvVHzn29/lyePPGVUF08tLPvn4M6xNiQXb29scHu5RFmk/mtWS+ewK6xzD8Rbj8RZlNUCqJHeN3nN5cQkRiiLHGIO1LW39HxivpwYDnPd421BIjaoqVJ7M3QgKhUrxeNZSFiWRLudSBKQPHVKczHC0VBSqoKiGrK3H1jW5VqmQbFuyIqFBWiqqokRkOc5bTNuQ6S2UCGidYbzHBcegSEVDpnKE0szrFW2zhqZGiYgnoKSmtmZTDEyqAbIc4ryntibpdkU6uW0I2HaJUpJMKXLnUVlB5jz59iG1qdlJGXQJTRJdxEyWsawbXF2Tq0SBHRYDEhYYU85vV9zIrMTZFiENEYmNFu8dW1s7oEq8czTrJUMNZZ6zXk0x0SOzHJ0VyYk+ghIZOqRCxkVHtC1FUeJjiqlwMRBD6u66tMsMlCYrhqzWl0gtGZTjFE1kavJsiPEWFQ1KFuT5AOcjWuZEmZDztm3xUjDZnnSdCU8WAkVWEGTqKiudI1Sishc+0bVXyylEgxAaSWA8muCcJdH5IiJKKj0gaIcHgrUIYVOEoOwKe6B1PnnKeL/RtBXFEOccCIHK0nWAtehhlS5ssYdxhkIlfwLb0RZ1VhKDR8RI1vkYZEVyA/fWgVBkXXE2X8zIM42SCp1PMNahqiGZ1GRZwfPpFU8vTpF4tC669ZugMZroA1IlvVbwnX4meoypCdqAzCirMa0PSCWxvukeUA6VDVJBHQXOpmQBhKAUEEPEmDVSSpz0VNWA1oE33eQs0gSsMkXdrFDkyKygVIoqH9K2dSqSQ0h+FbJg3VhibYjBoyVJXhAMohzRmpos6jTRKJ2oXyFpqWWwRCHRQhHRzFcOa1f0UomeHiqlpG4WgKSsxuRa0ZgFCBhVY5q2RakMJQRt8OT5MMX/hUDwyQvAO7vp0jTrdXLIzTNyJYk+IFSOsS3O1jT1arMQqAYT8mJAvb7C25ZRWSKlpsgrpLOsW0tWjYi2SQaNQpIXJc7bpF3Ly3RdW0tUQJcqkSvB/jhHLM84OX7OTFq+/4MfYM8v+PT1nN23v85wOMA1LfPFGTFGLi/nzK4uqOsaGyz7dw8I545RrrmfR2aPj/js2RHzvOT3/+Db6PEuD+8cUN494OzlK3784x+z9o68qvjaB9/g0y9f4/OC7374Xf7zf/pHHH3xlC++fMHl1Qy/NiyNZ1yWSHNGLCUhSlQmyasCp0e4xhIKhRQhORTHgGkbEJDnJYOyII+R3CZamCgmgMb4hqY2VMMRlZTJbNAHpE6siGEuib7BrGtMsNy6O+LNN++iYkGjFFVW0sznTK8uWa8WPHv5DFvCd/7gO9weHWBmNUeLGlloRlkFzlGNCg5v3SJHgrWs65pmuWI2m7Kc1Xz88WPknQP+5A//Mbe3blH+i3/GxctP+ejlSerA20gsBJOdMXvbu5h1g+k0cD6HN974GqUsKaqSXOb4NtDWLevpgovzK/zAIWxgNr3ABMt6an7T9Pnb7e94y7JsU1f2JTZcF/xpAdv/Pq2gN6/rF88xds7l8kb9JTYL9K90gvvOteip1DcKun4BvqHex01RfF0cX792UwD3wIPo6eXdYTifnnWh95y5PsrrfUrHIoVEaLkpeBDXtHrBDXr0pqbrAZJ+vFIXMbGT09zYx82FKLqiKabUm16Lvin0v1rE9yckafR7lsQ1iBLFjUKZa7163w3vx6Q/T6J7rdzs73V3Po1Zfx7iV85xh3skPfeNgl4IwF9T5jcldVfA3oR0usHu9r3rmG7O3Y33xL4Qv9ad9wDR5otuoAc9kLGBgfqiX6TvuT63faGa3nxd6HcjLG7sOxCT0yLeJ7q5t9CsV8RzT5/KcM0M6c0Dr6EYIfuC60YRz1ehqc2Vu9n/dBZFvAZtNudOsDn+Pn1iwzqIqYtK7MdNsqmCN8UsX7nHNoVvDwyI67HpwY3NXomb/3cDdun2O3ZxVDGmeS5216qUSQoQpNzQ76+BiPQZIV6fH9k9G/p9iLFPmgrITqYgejlHv9M9ENIxVvpnVMRfd/ARm/PSH9vmTovJsDHtX9fl7wy46cw2pbPc29W8tStYnb9kbebsDhV7W3toKTHmOUU5SUzVTnZkbYtpG1rTMp1eQPTkuSbLJEWhk9ndyTFffPYp3hkOb9/irbff5eDOXdat7ZgJXSpH23B1cc7nH30E3vAPf+93+OHvfo/Xr17y8vUJRaZZ1U3H2MgQpIhq5wJFmTrlIZDuOcTm2vHduZXd9aVVRMsuPlvEzmcr4kQAofAkFoDo2A5I1TGN0nmQRIaF4mAnRetVhUZ0TJIQAvV6ycsXL7m6uGRvb59vf+8HFGWFtYbBYECWKbJMUxY5w9GE4WiLLC82Wn5jW5aLOa9evmI+X7C1fcDWZJe9gzv8yX/yn/H0i485OTqibZOhdlFk7O5uMRqNCDFQz5dML89RUnJweJfx1jZZVtAzV7w1rFc1r14dJXA3RlarFcv5FGd//XrkN2v0ETgh8UohvWdY5ESlMM5Q5iVaKvCBrJQ4JM4ZfAwYY1AiEpxNRVNeoKSmVIJVs6ZZL8mVRlMwGo5pRuNkDLFaEKXAhIh0hkzlVKMSHwXOrch1joyRLCtomhoXPTHlwVFlJVqX+GAJrsF1brR5loHWSHJQGm8avHcUSERW0NikEw6d2ZaQgigzbIwUQtBGiw6BXGcJNBYqOb7HkGLXQmA0HNG6gkIKsiyNSz+FBKA1DY2Z41aXED3D8ZgHezsMM8XxquXJ6yNa0yI8KJnR6OTqato1wVl0liOKCpkNCAicXzPMC1S5Rb2eY0yLsDaZmnhPLjL0cIK1DUFkeLPAhBqQDIoxWT7AeUezuiL6pGN3tiVTBXowBCHJ8xznLCIE6nqO8wYImLrT/uuMLC8JIrJ2Fl9PkwRAV+i8JKBoTI1AoFSZcjeDp61X+BBwdg3eUFZjgtQE79AqUR4bH/Btg8SDLpFAnhXkeQUh0NpVuvGqkiBKpEzdxTTZN5tC2HmTuuZEinyIzkuyTFI3DZnURCHxzpJlgtV8inVNQgx1hZTpgZiXI1y7pHYtQkTGwwmqHGNWK0yzSCyR6MmUJIRktiSkwLVrnBDkWdK8ByLWtIgsT0V8tHjnMM0pRVGBE0TvkSonxrRvWic9WZblSF1QL6fJRCcrE3U0WEBjnESJMeV4J9GnmwVK5Wg9QOkCGxNYZ2KOs4vkMC81ajAiWItta3xzSVZWDLYOyYsRmUgmLsiY6ObWkneyHCcETbMgq4Z4maWivl1DdMhoO7BD4r1L94EuyYsS5WzqFlubTDojqKLEWAsC2hDRKmNQlmRaI3WWFgjGgm8S+OAdmSgIwWJagzUwGG+TdUZNKqsS8qlLolSUSmJsgKiIISG5db1CZHn6nU8UVRlFYifkA1yUtPUCJfLkZaBzIhKhgWhS2kQO/9t/9jvs+Dmrz/4aPSr5nXe/TZgvefL6nJcLw+9sbxFaw6yuWS5XxOBZrpYY45jPF8hK014tOW4qbtk1x08/4+T8lEff/YA7wxFHr044X6z5t//m3xCbhnq9ZrmoOZ9OmTcNIQ757MURg8NbvPPWPWYvX/Di2VNWzpK3nrX1jHd20JlgLDPaxYxpvWZvdwtnHZetYYVC0jAejxmOthE+sNArrA9kec5WNULZGtm2tM4SVYFpDc4avBAorZExorVEVgNqY1gsFwQD+wNPrDL2b4158GAP4SRNdGTDQcrqdTWXp+dcujlv/857HB7cZqBKzLJlejHlaraiKAvGASaTAfduHVDJpPlv6pr5csnqasnjl69psbzzu+8yHO8zKDXDUcW3Pvwmz5opR6MRwRhWbc3t/S22draQNj1Hzs4v2L6zxZ29XSbDHURIsg5rWmxtqBdzLk4vODo/ZuvtAe1yydXpJSvfIgb5b5o+f7v9HW9puXa98O/Vvv0v+0J/0xjbFBpAx6CKIYBPrL60su4+oysmr78jAb2ij5DbgAHXhYigKxTktWb4Zlnb68Y7gu9155O+SAjJVbmn5MdAFGGjRe+7u0Jc053Tm/uC/br06vX/ffHZL3YRbLr1ACIqhPSbYkPrxMiSSuF9wDoPLmnfU6xTB1psju3mCPRDI27oqLvxkh37oHtph6dcF9zx5mdcgyL0oE0PLPQFpQj0/Bm5ARfSG3o6e1eH37gA2DSYN/Vg7Aup/g39GIuvdOJDp0kIQnb0/t7ZPpk+Sq2Tw78QfZ1649xen6f+55vf32BIxH8PaLhxyNz0J5DiGlCRfScb6E0ChUy56qFbl25GJvgUXdZJQvp7IjEyQLj0zaEDmDaHL6/Bob6L3LNFNgVw7Dvlm6PdjPuGDbHxxuhf06VDBVCqB2zSd10X2dz4rmu6utyAV6Ir1q/vsXhjrK/BohuwVMeYiD2TJVy/7vo66rGOeEOq0x2UuAZjgkiczM0xbYCw0Aktr/e5v9g7uGoD2mwYOv0ex+vCPj13rsGLft9Uf2yxAxA6wCGIVLfc39H8ybd3uZWvMXVOqfcZDnK8aTg/Pub41Wseff0WPoC3Fu8sy8Wcum1YLhecn50wGQ5YrVcY4fFmBdFTr+a8/eZ9bt++hdKK+arls08+4ez8gtliibWe5WpNVVVsb21xdnJGVZS89+5btG3Np598SjnaZv/wNhfzL5NPgMpQOiN05qSyNxzv6rAYIkL0d7u4BmUEKBHAG2RwKU8sgAkeE23ntRmTt2YPIPX3D+lzq0xya1KyOykpc518IYQkRs98NuP1y1dkOuM73/s+w8kWQqXapF02XF1eIpVEKcmtg32qwRAh1AbsXa8WXJyfcHZ6gg9w994D9vbvMxhtkRcV9x++zezyHNNa6saQlxlZptjbmUD0TK+m1KsVg2rE/q0DquEYoWRi+HqHdw5rLBcXl1ycn7F/cAtrW2azGU1dM/oPdd1XIaCEJOiMRbOmnV10GndwqqHQBVEIWqlYNg3CW3ReJCdHRSpQu6zQ5WrFhVliXItwjkk1TNp/0yTzpxjI85QbKGQkCMXaNJh2TS4FWmvatiXEgJYZpS6og6E1DVrplFcvkwZIFxVCKRrn8W2LiJ6gM4xNcQ7etmidpANFnuJUpBfkgyGZUhTlEOMjxhq0chhjEMKlAhrI9ACRpfdrpQneUpVZcuEMFo9ACwm6oG3WqYgPkZ3JgGFekOucq7VjGhxLG6kGu+g8FT7OWLQCREZV7iBEoo95H/CqQAnBeLCN85HlcoWIMXX7VZJY1Og0sasM7zwQyIoqGSQ6iw8OU6/R1YAAaJlDFOhc0XqHWU8RzRwRBDobIkTEJVcWlExavihzpNDobNA5E1ukrAgiIotBMsITkkKn/XUxYkWLDREVJHleMhmOGI23MEEQzQpnaiaDkqWNxNWKECNFVSKLEUp0ETemxpk2PRyAGEyKtvMK72ryLEMVFTFEpM6RZpXMXHTRZaoGRAiMywofAqaZJUTWJWqQ7BZ6Cksmgc5Mz7ZLkMld2fpU8AapcN4RhCLLqy4yxmIJRGvRUqJkhnUN1qyIQqN0iY4JSfXtRXoIxUhtl/jgUFKQ5SOQBUKQIiMlKCKubbouenKEz/OcdlUniYZKS5f1qib4mhiTrt8Hi4ypW0NWIGIgpVD136FRefIdoEiyC4HYADZlOcC7FlVonLYbl2dhDYKW0EqyQUmMNkVHCs8gl2R6gAuBrWqUllSRVKBnBb6osKYm82tkBipLD9sQJVIVJKqnIsSIaVZ4U0Nw5FlOQGLMinZ1gpSQV3tEH5ldnpKpDOfWqExT5EPyfEzwFhtCWvS6Fu+S5eJwuJMWPwFEcMjgaOslWZkhfEyynbxCdJN6EAoVLSF6yrwgeMu9gxHv3d+B0zUrLbh//w1Yrzl5fcxPP3nBZS1omhZfDlMUTgis25ZAoI0eWRSMRwPO5ivUeJvpy6fE5SXvfOsdbo/GHD875tn5DDkRnLx4yfH5lM+fvCabjHlw/5Df/Ud/THuyxoTItjTMj17ws9WaqfP8zj/4Id9+7+v8+b/8M76cXSDaJSIXyRdDqxTfkm0R4gRpPFEKFus1pnXECFU1YDTUqBCYzads5R5MjQ+O16cXXAaBVBnD0QTZtiyaFi1kMoMSMMg1B2PFzkhRatjfLqlCYL2Yku0dYmZLXk8viCKgdwZ8+OgNJsUEicQtl6wvpiymM169OsI4S1kVfOf732ZbD1jPZjTNitVsyfHZBa9Pjtl9+y7ffvtbjFSJcZJg28TG8GCCZf/hfcJf/A0qU4wmQ7KixBlDaxt27uxwcHCLUT5EBpXMvVygWdas6jWrdc10WXN6cUpx7wAXPLWrGd8d8vD+w980ff52+zveQlcowaaBx3W1ln64yS/fFPqhM72Lmw5oKvL74rKn5PYFZVe0bzqWN7uzYlOA9+/5SunfC72vX33j7R3tOCSacfCJQtwX+rE7JiVlZ04mUre9c/fvi4ue4h97XXIPSsCmEBMyafJ7cKLv1qcd6HXrqXjROsWxpTIqXBeCXTHav68vmtJnfrX42/wm9Nryrxb2N8smcXOI+oL1msVP33XeWC3+D95MF/HXn4gbXdwbIM+GQk13ErjuVG8+7EZRKTuduJSpcE6gUfaVQlbKZGinOpmEDxHrHK5zLyeGzkVcI5TaAECxZwakjMANSyDGXoLSjXWMG6PH3g9BdrTjfpylYHMNCJmc7UXnIcSNArHvpEdimueS//v18cQkbwvB412//2lMpezZJokRIDup3EYuIHrAIGyc/79y3dCBXDdRt268g+ilc6JLIe7MDbvfC3nNXBDyuthXMq2phUzAfOh9lbqOdg/ixSg211O6/2THRuiZDDcL8Nidp1Q4fxVrEF+9B/p398+Mbj3pO9BwIwfhGjjqDiiZaKokqxB0bB5id4rTNXF9Vd6QUWwYO+m5JK4vWXqNvpCCHMOb+4oHW57Me8gq8lwTvOf8/ILHn37OxeWct7ICHwIhGJbLJVfTK5CC1jRkWcb27jZFWSB8g7MtWsLtW/tsbY1Y1w2ffvSYk7NLahOojcf5ZKYI8Oadu0TnaJqWrWHJ0fPnXJyeooTid3/v9xntHfLk5QlxwzKRyTw1JulfEJoQk8fWVwAwcQ3abC7v6DcMjYDoDJR98pzsXh1VJ5GKG1gPSWSnUuwNFaUWKVmhuxeml5ecnZ2yu7/P3XsP0HkFgLWWer3m7PSE58+f4Z1jMh7w/tffoyhSM3S9blnMZhwfv6ZezRmNxty59wb7hw8wVqR9A4qiZLK9w8M3HvHxJ59hraMqSyajId4aiJ7JZMLe/gHVYEjs5Qsh4KyjqWuWizknx8csF0vKvGR2OSUS2NndZTLZ5tdtv7HQl7mmadboGNmd7BJlctAPpsW5iHcmPQCUYKAzUAoXI5HO/CT4js6dU+WBQZU04NGFrhC6/lxjHAABAABJREFU1ncaY8AbIgIRPHWzJrrk+Lg0Fh08VTGgHIyw1tAakzrrtqGxBuccUkSa1lBlmrIcpiJQ5thmDQJMu6Jua8xyitQKGT3D4RZR5pRZhTMpBk3nM7KsSlFxzpDjqdsGG5KDafSOwWgLJYuU7RtNclO3NWjNullQKsF4+5BhWaVid22wa8M6aEIhWNVLVqs18f/H3p81W5Ll2X3Yb4/ufoY7xxyZETlV1jw1Go1uNEhwFEETTTSj9CwzfQF9Lz3LaDSjaCIBGigQaHajG1WVVZVTRMZ85zP4tCc97O3n3iyq6kHW5FO5VdSNvHEG9+3b3fda//VfixxZkXth8w0gBolRkRRyT36K2bzOSI0jsb4+xxiDlQYlZwyuZd1flszFyMxYqtlhjhwS4KMj+dxzHlVFKA/8Rb3AO0/brVBSsj/fB2MASd91zOp5bpPQlnEcIEWC0KiYMCbLr0IkGx4aqIzGqIZxbIGEi5E0rnBhKG0aCkRFRNCNkfbiEiWK66qoebP2eJ8zK1PwqCBw62uausJWS8aYH0wujPhuzWY9ZFdzaVnMDolyHyEDppqV1hCbxyxkqU+tJUHWuKFj256RQl8WjhI/5p5slKYLIT/gZEVwfY5bVFnq2W6vcS4QQq4yaFsjg8O5kYCiqhbYqsmOzcXEre9MNlWs5wipqcU+47Cgb1cQOqp6iXceKQIhOoxKWYmCxvkxy/6VzSYkweeISlllw8LQEXyXb27BoaslyjTZv8L32VSublB6gUgR5zb4fk0yNbpaYqVCS4HWFh8TfT8w9i1OrrIUSAxU9QEkkf0OhCApw+Hd7xEJdN0ahGE23yenOCiEqVApMvYtEp/d7MNA60eksowhMoSBGkOjiwpCGTbrVX42CoNIAmk1dnGC71t0VbO/NGhxksd66EEIYhjxZOl+NVsWHwSJ0A1ayVyxIiBFRA7ZJ6Tvt8UNWJRlvqSaLbIrq09olQihBQTWWBoFLumsYJI53eJqFfjv/uVf89N7DScP7kK35Xq95cXLM16dnyPnxxijOTw5pm9bNts1C60Q8wXLvUNO371lcTjn4cGSr7eS9nrFn/z4O9Qozt9e8YsvvuH1mLj64jlfvThn6xNeSP69f/hT3r9zzJ3lHv/N/+uv0LOaOGSTHCEUf/JnP+PD995nYbPT/Bgjh1bCMLK6XlMtFojguR57NsYzeIcWFY1R9EN2vo8khm0gec962LI8MIS+xQtDH3KbDMHTdltCXeWYH0ChMFqjrca4jou3V7z35ISTRrJ685K+mnOYJC+/+opfPP+SH/3jP+G7jz6gNhYGT79d015d0q63fPWbZ/zbL76g8wOHBwuePnnEeH3NZnXJ9eqKbdez9ht+9Bc/ZlbNmeslIkRGFyBJXEwI5wgS3vvJz7j/3/0bxu0zmmrBcu8IY2ccHB1wuNgHIXLCyejwbsD1PW23pV1vefXijG9ev2WzWfH2lefO4R3e+85DFnsLDhZ3/tDj84/b3/t2U9lMu8qXKBjvBnAW7Pvtd0qJFLcd6EuVr1T8Jxluefut7TYqvV2xLa+/JU/Okv34beABBQhMv5vizUIGa2TgKguIEcURXUqVWwyizFG5U1VqB+DiDsiV6JXdXkLp7S/AbTL0243RtGCWkhAUwheD4xKzF6f3FWkoUEDQtG/FxGwn988gNobycwfSUzHRmkZyglsFNMmbhILp9bt9m4iEckQTOLohF279rvz/dN5vS/dTqVRPpnjT2UzippKaJlbid055vL1bKWVX62HM1dtQUgLKqE8y9gllqomgKQ7eWd0QIWUzOFH8l2IqJFRMxf/HZXNZ5zIpFVJuiyoklYCsYk0JoTWmbtC2QhmdwbOaFCYCZCyEjsiAdtpbcUvKn0D8LsGzG9MbMmdHGIlbMywVU13K+wr4nRQgSEgh3nxmSsUITZBEIpLVYDFlg7MiJdhd49Ocp6gtpBBlXCdyhp15ZUopc1gRpt76/BnTpCjXYUyQVCmGlJabEPN7bpFyU+tISiGnFBQCcSKEdi0EZY7dXN/xVv+QuLlObs3b3b1jUllMMzOm0oOSwentfRFy+sxpgmYyLEbwJEgBN3SAz3POBVZXl5xfXOZ1ja6ws0XGawiqpma5v59l/CLxQEuODvaotIAgaIxgMWuorOL89JRf/voLXr29zIlho6cfs6ri+HCfH/3ge3z30+/wP/y//wdCzATi86+fc3y0z8///C84uHNCO3hS6adP5LbOoc9rOFSFw+DQ+KjyPUPE3VQQQhJEKuc6g/oQYnG6MiSZMYsgq1O8z6RVkrl4FwvJuqzgeA6VjkAgpsCw3fLuzWu6ruPx0w85vvsAhNqlqfhxYHV1wReff86vf/0Fznm+850P+OCjJzjX06063r19x3q1xhrDkw8+Zn//kKpZEmPk+vKS4zv3kCKRYlYi/qM//wu+/OJrfv2bz6grWxLTNLPZgr39Q6q6yWc3ZELDj1lhuFlnxcGzZy84PbsmeHj48BH3H96nmWfPs9+3/UGgv91eE7oeLyRJe7St0OTqZ7SCMXouN5f47QbtclyVspa9/RMUhtmsJkhF13doEbGmYvCCTRiJzlFLiZQDMzvD1EsIPpu3+Rxrt5gf41JkGFr6bp3l1C5gVIWxEh0jm61AY6ir4gkgWiQpV1uRJU8zooSgahZUsznq8C5SV2z7ASlF7lWJnuQH/NgjWsesWqCrGVFIjFbM1YIU84XbDxvavoWwyrntMRGu39JUNYOq8CFyvd5y3a5QuqEd+izndoHGwSJIoqiZLWq0NIwx4toVlRH0fVY4JL0EsrfBGAJSG+pmRg6KEVRKEqUiuoF5M8NW86xYcB11M0eSQfgwtHjnGPuWeW1J0mBsNn1IMsuS9w/vUdczhnZL6rflGRFo1z2msnTOYWSWjCfvGX1HHyCMLcmvMcYSUDBaMLPCRCoWlaVXe/hunSsVwjCOV/h2wIWIbQ6p7JwQcj3BuxFU9nlIAty4wYWRsY9U1RqlG6q6ZqH3McdPcSngQ1ZppKQwegZS0W03pDCglaDrLouhh2Lde9BdfmCYGUHa7FjvR6RtEEJDiui6VLt1RQpjNr+bFje6wuoaoTQBECn7g8qUECHg3IAftrktIGbW0flIpS3ddpOvIVtjTI09mE1tNiTv8W6gMZbKWEY/sG7XOYpFaowUBGHIjqAD0XmUMei6QSvF2Pek6DBVk932zUhyloRA2hpMRV0vMd7hhm12wLUW/ADkdhwXfXbn94HUzFG2AlkREogQuGzXSEAbjU6OFAIihlzFkDY/NH1P6NdEoVgsFiipiGmeH0xZBZnjYpTM/ZQCkhREH1G1wA0bolsjlMI6RUwBLQTBD/TdGiWyeaVKipCgWt6hJvewzeps0Dj4HH2XIKt8UsK7ASUSowsIrVFJ58Vbv8YNPVopksj9V0PwdH1LXWm8rlmHfJNWxlIZw3JZ8R/85An30jtCMmhV0XYbvnp+wVgp/uynH/O/PG+JCFyM7O8fEEfH5eUFfd+x3WxJRB4f7/H6bYc+OeGH9z+i6a94++aUv/rrX/Pr1cjD7/8MG58x2xs4nC1YHh3xz/7T/4gPH9zlzW++ph1GTF3xwUePmC0a/uE/+cf84OOPuH59yosvn/P6coueHSBDRz2f0T8fkI3FmopLZviUWNQNrh/YuhEjFc4HYp/jC6NMHOwfspBrhrEj7d2jafaYV3Ocd9npNQTm8xlWGIxS9MOAFiNHM8XJgwd8/PgA0a65fndKtx+5vPqStW/50//oL3hy7xELZRm7ln67oR8GAprtGPji8xe8vjgHGfne00eYUfDq9Us2/ZZtt+XRd57wg+OfZPmck4TRc7VuSYt9apvvQcO2pYsjD957yD/7r/7P/D//6/8HIQQ2mxWi0ezvH6ICedEQe8ZupG87Nt2G6zcrPvvtV7Rh5Itf/ZZtteWT+3fZ2xcsl3vUdo/Q/y6c/OP2v+V2251cQm7znYB+ovRIOlzfE32O2VMqZzSbqi7k7VT9zO+JxVQrxd8BobcA8o3A+PZWluGJ4qp9U6WdAFMsyoF4C+hPYDaRboGFGzIgTn28wRP9tPAv1WSTc9Fze/NUdU47gJErvZ4UwnSjvdnXAvYmsJ5781V+bpVKdJp2ZgJltwB4/rdYeuuz2bJSauecnoEqNy0IpJ0TOIWQiIWo3xEfZT0l1eRqPgFLChGSK9wZnMVdTXbnND5VRpkA1wTeCwFU/uz8CtLNXLktpxeCIgWPRbLPrfOSx2AC5KL8g1ASIzVKa6w1OQEgZlPozBvckFK3yYs8jhlER27aNiZZuRASpYrcOKZdBTiDxtLCIcQuGz5JOU3ZMp9uWK6Y7eARhVTZnUcm+b/YAampveMGW9/UsUlT1ZwbEE+OaJXqFjF2O8Zymj+lqp/JBonSGm1sqQRPZpXTNTH99duk2w7WplQSksrwTnGOt67IDKrLUUqxc1LP1+/NtXKbfBPltULkcY9lvoXg8W5S1GbwGJj6+tXOQ0EpiVImX6PlPGmVe9xjohSGwo6Pu01+xAQhhqzkCMWAO07HP5Fd+TtzzK9EyXwPSAKSCuA75mae2yFiriBvN1suLy+pZzOO793ndOup50tMKdYIIbLsvt0yjh6lDBGyAVxl2d9fIFPk89/+ll/+4jN65zk4OsbYijdnV3T9lqODA/4P/+l/zHe/8xHPnz3j7OICqXLb6fsfvMc//LN/wPzwDp2TgC/XYia9RpeTwgRZheWSxEdJKPfkSaESSUihyv0vz/UYsvMTUpOTvywadcvXg+L3wO5YrYrsV4lGJ1IYadeO/t3AdrNBGsuHn3yX+f5hXuvGrNLx48D16oqz03e8evOOV2/O8DHx+PEjpJJcnJ9xdXnBODru3rvHvfsPaeZzSAnnRtptizWa+WyGFODGgfV6w4c//Qn/2X/+n3N+9g5IDKOjaeYs9/apqjqTEyHgi/q87zquLi549fIl5+cXnL67oO9Gjj++w+MnT5nvLYGML3/f9geBPt5RVxqXYIgjtbCYao5zLp8EP7CoZjipkTFQWct8liuatbAka3Ax4aLMhlkoQvLsySobsJU4GGVm+JSr1iEGGlsTqRn9mOP5lGZ/7w45bi5XXRGCwMBycYBAEccuPwD2ZlQCGlsRTc3gRiolM9shJMPQonSWATezAasr+hJbNyRJHHqshFk9w9g5WMV2u8aPA0YJYhJUlUWoitX6Au9aFtbSS40igmlAS9AzxtCj0iTHliiTI9ZUBKUVVuQbjBtzlFdIOX5QmypX1dprkvdEmehazfriBcYq7u/vEVXN1XbAKAtJU+kGLQRmsaTtW0bX5d5ZKRHGgt8wdhf5+EXMZnTKouoFyswZ155t22aTvXo/Z1ALiSTnx0ejCX1LVRmWh8fMbIPznt61pFJ9GH0g+oB3A8l7UnAMKeFCxI0tCI1UFdI2zHW+SIWUWF2RYs4zVbrGJ0H0GajXkVzxVzZbm5JKW8UaKSRDf83oenS1YOUdUiS0rrMPgeuQ2uK9x/mIZroBa5zfIERkvtwDNcO7nhhcrgBLTT902YCv2kOgECnQjT0yejSRlHLWeECT3LhLbqhsTRISpbNxVAwxu7mHESETMnmEdzk31Y3EODD0W/zYovBYO6fTM1AWXRi6TA5UELKU3Kq93B5CznmH7O0wthtk6Ilhg9KKEBxKWYLrMBJcFzDKoCpbZHCa3o2EmE1StMmVeYQlhLBbhHk/kJLH1gI3rBBhxG1WCCExswMgA32pNcoe7swvQ3D44uArggM3olXmXsPgGUM2o5TREYRE6hqm9gKRqIwucYEdCgvKkKTKD/sSE9R1LSqNjGPH9Vn2BAhJIOJICC3WarKPwUhtVB5XY2mqGTFJorJsxjVO9MwX+2XBqWiaBSl4RhdQOkdehqRYb1vu39vnyaHlQO6j2iuuVpe8eXVKc7zgo/3H/M1f/wo1m+ebdkr07TrLycee1dUlpxfX3Ll3SH9+zourwPHsktnC8c2Xz/jVV99g7h/x8w8XPPze93jv7l/wxWe/4mrb4xG8/+A+VQh89r/8gpOHd1i3A9en5/z05/8h33n/PfrzS87evWXUFlE3iMGxMILNZs0ooa4ahiGwSYqoc451lKClASLCCJRIgKcyFTUJ1a7oY2RQM9AWU1XM64ah7xhDAO9p44hRBkMi+cBmO7BoEv7yHZebd4wmcOfeEW0nuX/yHo/v3sWkiB8G/DBm1/vrNd88f8vzV6/56vQNm7ajWhiO7h4Re5/7CceOJ9//iMf3HrFQTX4WhcDQdfQJnjz9mHk9hwhuGHLvqTT86T/9S/7dX/1rvr74LQ8e3uNkuUSnKe0k0vVbNpsNV6crzi7Pud607D3Z52G15PWXb7j/o3v8yQ9/xOH8LlrOIWRS44/b/45bqTSzAxs3QCrFmBfLPpBCXhwaY2jmDfWsyT4nU994yV2PRUY/AdzEhM1ufW4BHbeLzhkw5EWlKJlxknTTjy4m1FI+pCw6JTeS6Jveg1QM+EpVsfT17yqjU6W+5NjLovCLKeWIvdKWsOunL4Znu/i1AsKnquu3q9f5s6bj2v1Mu51n8hHwRaKcgXupTpZq5U6BMEWnTch6V31kJ3P2xQAsjEM2V00JKbIEOANXVbLVM5iaYuHEJPW+NYaqSKKzf4Hc7f80DrFUyompdHxMaohbp4dd6OJuX7gNfCkAPU2w9AYAp/JvIdx4LfiSRDTFLN4M960K8I4MKvJ8OR1rbp2baKWdmWCa5t1tBUTaJTSQbvbrtgpiZ9wmbvM3N3Nhmp87PqLMt1hic28EFrcq+tO5UKqQbLdk6uo2HXaL5CjzcIqfDCkb803GdjuCgpuft/wJ85jsqvrTsZS5PxFJheAR5LYVVdosrNU7hcM05jHGEq/rSVPrzCTBj9M1VIi/FHfX3jQf8yUvdkRKriL73X5NhAcxEHzAuxzzVi5kdPmc3AqSn7dWQhAwhkjw2WBuMsKcgP70Hm0MxlQ5ICiO7NvAg/0KmSJjAZPr1RopoJktOLtYUc8XmLohIkgh4UPIJnzXK84vrzk52gPAOU+ymugjr158w5e/+QKrDZ985xOefPgBVT3j9dtzVpuODz74iO//8AeMfcf56WlWHquMjz785EP2j48YIxmwhhwLOhEX3rnc4m0sQWjGpHFJl9wNmIgkNbXUCIFWCRF9qXQLotAgTSZZuGltmK7wac4qKah1YlZlx37vHM5lo+ujuw84uHMPZarsui9CHpu+Z7W65usvv+Ds/IwXL99xed2yWMxYzGesV9esV9dUdc2jx084PL6LMbbMBYf3nhjhyYefMF8cEBN4H9FKo7Xlxz/9GX/1b/4VfXvNvbt32Ds4pG6a7PsRPc6P9F3L1fkZZ+/esVmvqZua995/n83Wcf+e5mc//ynL/ez4n4o5++/b/iDQX9RLdAo473B4vO+JbqT3PjuYh0CIEiktSktsNUOrBmsWBKWJMRu4KWVJMU/WhdYI0aC1yDd+H4qE2eeL35gc6SciQgv6mOiuVyyrhihkcd53RD8gdYWQmtENWClJWjM3GpAEaXOVz85JBKwUSGUJMbNFMQZqJYlhZGYFUho0iqQMQwCfElbAZrvNVSqls0mbkvjg6cbM+ljTUNs5SWQQqExFTIKgAiJpjJ0xjn1mhKWiH3rONivGoUUmR900hCho6hkgqawhkQjjBpEC7dAiZMSaBbKeg6543UIYLzBC4MVAszgkSgg+4dotEBjHHkGgbbcQepIAHxJCWHwYUKpG2TlBNoShZ0RiZidIqZnNlnR9jxTZp4AU2V6dkWKLq+bMFndhfoALue1g9Int9QUidOhqhk8KkUaisFR2jjQNcexQCaStMEojRb5RK2Wzc6bv8P0q39TNHGkqBjfg/Egac3+6EhopdDbZE2S5VxLZtC04fPCM44DWirqucCGTUVpqbLUkAVaZ7GBaHo5K5fg4qQ1jIoPU5EFIXIjE2O1Y3yxLFKzX5yggSo002YyOBJttBsHG5Oz0vC7NMi/vW5IfkMZSNxqiQGhNDNAsZ5nkia7I/SsqXeGjx41DrlZFl2MSY8BWEbxn8H32iagWmfE1FUHW6DorIkxNNuxLEaQmxIEUBqTQdCkipSaFkeDa3IceSjVISMZ+zA9MY7IPgQRrLFosicmjUShVQbjm7NVvaBaHzOeHRJf9LWSEcdywmB8gdU1Mim7w2etBWcbos2u+rglOIvya4fqCscQGSjyEGVraHNknVK78uxE3bBmI1PUi92vFTA5UdYNSVWFCAxsfkSKwmFf86Xd/hI+wd7DP9z54jOx6/qe/+SVfvtoSQo0be7brdwjIDxBtSCiU0FQK6mqOSYaxtvyf/tEH7MdrtusN1eaCL377G+bv3+P77z/g9Vev+NWzCx78g3/I8eERYRzZbjesrq7pNh3vTi84vTin3rfcPbrHXjXA5XO+ubjmxfkF3/uzH3EsFGd6yePHx5iU+Kf/yX/IcpYj64iRfrPl1cUVf/7zn/Jf/zf/HZ+fr/m///RH+K7LhnnNguPlPka/wIQVyERTWcbWYZcBPd+jEodUUSOAenGA0rmX0YWArarszRI98+RIV1vkbAnVPrWq8kI9AclT2YaqnqGmhW3wHGlP3Z1TSUV//pZkep58/CFVU3P3/n0qa9EhErxj6Lb03Yari0u+/PwlX5y94nBvn/X1hn4YqQ8bTg4P2F5viE3D9773CYfzOcoXQOUT7balHR1HTz/iztF9ZJCMo+Pq7C2iNtT1jEWz5L3HT+kXLQ/v3sOgCYMnEXDOsb5a8fb1K663W8ydGd/59EMO5oe468jpDz7lwc+OON57gJFz/JAY3cD26vfH2fxx+99gmyqEZaE9LfBvJLPkJB5tcqubtdjKonVJDIHc20p2/M6pLxNgYwdYYnEyDyHsKuZxAuDphgwQ5Mr6DsdNFaRpf4XINSyZ+0Hlrpp+02+fe3zTDjTsKoxTT64QO4LCe5/l43ECRTdb3ne1M8GbxkvALn1kqkbvqqeUeLAYdg77O4BX9i8f841MPYO1iawoMnEx9Z3H8hnTTrEr0+Z+6rzQV1rn/RGA9/n7fU5vQQViUtk0kJyIVErCuzQAEtn4rIA5oRRSaqZy9I10P7KzY9j9rkCnSbHBBNonVYQgUUBb+R1TFTiGHE1biKJUJo64JdPf/bdWRS5foEeimLwV6Kyy27ucZPbixjRsZ+Z2e84TCTuFQ7jZhzLUtxMJZDFmjEUG/rvKkemc3BBbuwtsd96mxAk5KS1g5ya/K/vfBvO7uS9gmhs7EkD+zlwo0XQpISaJNuJbzv6390hM8ntx+/gEYjKxjNwivwJuUsF0GSjukhqmPyoTBkKw81LIYN/vWmqmcU7Rl5aJlCv3WqO0ybGW5TqYPD++ZTxYkjGUtlRVBuwSgTGaeVOzqC3zWnH/cMG9k31G5/jVl694/vaKTTeSBl/OcSzXqchKj0KqSaVQxmCJ/OMfPObTxzXt1WtWV1e0XU9dN8znc4a+5/XbM44ePEGZ3J7pnGMcBtq25fLyinEYmDUNRhsuLs/ZXJxzqRLC93zv4yccHx9z7/2nLI/voqoZTz5RuQimDXXTMPYdWklOjva4Wq25e/eQ4zvHJFHub+Re9+1muzsHweWiTDXbA7tAyjk61iSR1bRyOt/ka1YSMTKbPaeQk7GQuS1cyMk/opCc0z24XBNagFXZ0NA5RyBg64b9g2Nm8yVC293NKquOPJcX53z91VdcXZ4B0HYdPiZmixmHRwdIIdjbP+Te/Ycs949yckm5lwoh8CEyWxxwcHwPIRUxeDbbDdpYqqpGScF3v/tdXr/4igcP7mPrmpw8kFswri9OOXvzms1my3y+4MGjR+zvHzCOjuvVlsPDQ/YPljvjwhgj4/D/Z7zeum8R0ZcXKSgu2E2tMcETydV+RImck4Iheny/zQvOfoO1FdrOs8N48lgJQln60TMMOQZLSkFdLbBaY6Wg9R1n12dUWjEIhYyOAYVVVe5djqBsTULRjT19dw0p5f7oukYZS5KKEPNJHwZHSAKtIiGMtF3L4EeSG5lbk6u+EcLYY4qx3ypGrq7Pyr1M0qXIVlzhYqAqUvXsXg5OUBirRBhHEgllNCkq+r5FCA8+MK9m1LM5ItVEcQAIvM+ynnHcIlOgWeyz2myRIVLPDtD1PimBNTUuxR1ATfU+3uWIi2Fw+L5n13EsFdrMcqShXWB0NrMLSNzQIkV2fN+sLxi3l3kBoiwyeSrT0PU9q6vX6Ngjtcn96Ci0XTAKQ+hHejaEYc2ynmOqOUdHdxiHDje26DgyeEcUIPxIM9ujPrpL320JIRAQ9ENEpJ4QNxBjbgvQ2Tk9RI9xCaTCKsWmX+H6S7TSVM0x0s7xITL6MedoRo9NA3U1J9DghzXb9gKkwIWQTVCGFoTCm6ZUIhTGzhm6NdbWJGGoqjpf7N5RmxopYBwHkoQUPNJHfLcihpYgFEkYlLfZ0M7UGFvjR0EsFX0tLW4cGceWFH1ZjFh8SJByP7SIgqjyIkIZQ/QeH/ssiRcCqxWJhBaaZj5js70m+KH0unm0VCwayxihavZAaNzYY5Vg9J7kIpWtS9JB5rxHP5JK/3plG+LsON9k+kuur9+UvqYE2qL0nMo0SCFouy3Je5QMeN9lRjw6zPIhqIo2GuJ6i3M9CYNQltQOVLXCzuZoZXF+zIvsJBj6lr5fI5XIMSVqmfuku2tG5+iGS5Lr8i14qvxUc+pqhh87SFuMrBjHAWUsi0UDBMZhQEjN47sP2JvXRKW4XI+sL045u7xkdXbO6uKcX706Z94s2F8ckaQmhUA/dFSzJVZatq5HmZq9WYNRmhihsoFDK9mvloh+w8X6mpP37/De++8ztI6vX13xro/88OiQ2li61YrNuqXrBzrv8RHqxZyPP/mQ2eB59+41lX/F3ntL/sl/9Bdwcc035yue/MVf8PDefWQIvHz+NZvZjOPjE5q65vL1O3Qz49lXX/PBzz7h//ZP/4KjxQztPGcv36GM5su/+zW/Oe2I0rK+fMu8UtimwkrFdgiMOjGrDZrEWJQiKURUSsS+52q7pZo3LLXLZpLHDwlJ56hUpfHeM44eP66o/cisbpAxEnxgYwUHiwVNI5EO7jz5kPn8DtHMM+kUHKMbcaNjdX7JyxcvefHuHPYMf/nzP0edjfyP+v+Dj4E7j064s1giVcWHDx9zsFhQS0MYB4auZegG+q3j2atTfvjxD9G6QopEGHK7UufafF0LweGj+/z4o4qT2RHJe4ZuwPUdm82G87dndKbngx8/ZW/vkIXdp7va0I8rju4tuLd3gKLGD5nxD+PI5nz9hx6ff9z+nrepknnbpVpM62ohUFqiSvVnytzOlZVYQEsBJrse+gmA5gVpmKp7Uxm2fMnObf9WtFZmCG5A3G1gNkXK5WexQCSJ4AYQxzB9XzZC28m3J3n6rZLz9N/BZ3kvKZU+YXlTMYZb+5Juxqoc4yR5/9YCuPycoFVKIveRFmCfF5CZNJjUCmkCx+IW0J9Yjqlym8imnBOovqUQkFIhtaaqG6CMQ2lZi97fKAYo+xxCjs+dRn1SN4ipR1sSVc7QRrgduMyn7nZFWdw6p8WWTt4C+pPyQUz7CzuZ967KHUv1N+Sf074gchGX0jKQ+wAIMRQQOBEIYSfZFkKgrEFXFm1M8ULIkXRTLNjUEy4QuVMCjVKQlCQEQfQQmZIR8vnNRWOxky1nlcjNeE3nPe1GNO32ZzdmYjdo5X8lqo9CEuzmwO7Cy4Z3YvpugRDZnwiZAaEyJrd4TIRQLOO5aweIN4TbpDiY1DZTtX43v6Z0gKnN4AYMUq7lVIwRI5QYbHavlUqh0ChrSstIIYa8z+OXdlzYjtCIMeYCZ1GiEHO7ptJ5HSmKWSFCIbTKFWZjs4nhpIAo5I82hqqyIKDtB16dOV6fXnC12nC16QlJUBlFVVlCkjk6ERBKY7TBVgalNIl8/d2dST59ehctrxn6gZQS+3v7LJY5BvvLL5/z+u0Fn/zkH6G0xTuH945+6OmHkdH53IqpNdtty/Ovn6P9yMdPHvD40QOS70BkPwihTW7xSSm3pXoYB8l6dYX3PffuHnFyss+f/slPuHv/DjEluqHDjZ6zs3PW61LII+V1dUwoU4GyCGmR0iBT9nyI5KJbmryuREIKD8nlViOlCcX/TYgs6Zei9MEW1df0DFAy/8nkpWC+XLJ3cIxt5tnxv0zlEDzddss3z5/x6sULbGX5zqefMowD//qvf4GUkfffe8DDR/dp6oqqblgs9ncEWIwJ7z3rzYqvvnzOj37yZ+iSkAWJzeoarTOBpo3lwcPHBNeyWC4BcGNLt77k6uyU64tzjG14+uHH7B8eY60muJHLiwtms5qTk6OMuYMnAV3Xcf7ulN+3/UGg78Ye13cYIXL2uBBURmOFRFV7xBRphEBpwzCORZKiQRn60NG6Fu9b5nGkjZG+27LfzBiTYFhfE6WmDx6rNUL1jMkQtxtCKBJjZTmeLTL4C7n/LJLjA7uhRcTI0Pc4nytLGXAZRDGJG8cBQcrqA2DrOlzf4YcOrRR2vo/VGp8Coe/og4fSN7Xpe6oUsPWMJBJGaxBQqRypQArM7FG+EfiRoESWsaaAVZpt1yGTx+rcsy9log+OqjCIISnGYUQSqaoGU83oh22WCpcqd4ogZJaA574fix/63LctJEMKxOgxKYBUjP02XwhC4pMkxGygJ5KktjNsPSNKRfABLSXL/TsZbEpNjBEXHD46QhTM58comRcXsjhl1s0eSc+YNDJOVazHnjiskDHkGzyZJdX1HCMN1lakAJdnL/O+6oYodJY++ZgllZXF6ppxbNHa0ncbQnmIBecxzSHV/A6JiNY58kwnAfIQYyuk0pmldD0kh6qyYmRmJZu+x5P7uaUQ2GaJ9wFRpPc+5POj8QTvUDJLedPYo7XOPfzdmrG9IMW88KiaJapZgKgyIWAM/TAS/IBUAlM1ecEp80NcWoNIuRcrhSH3sXuHFIKqnuExCOGI3uX2AVsjVb6wQwqE4Bh7kWXu0mTQKYAkGdzI+t1LZs0+CYEWORaw8yJ7J6RIHDuQAltVCD+CtDgfsule9BB8VgPEwGx+QFXVDO0aN6yy+33wIESOr9QSbSowFpUk2tb5/cpgmhnCZ0MzbeuigohIZdEkYhgIvsfLTEIoW2GFIoxbxm4kkiVW9eE+tnlC0gYlNSk6vB9Lpd7j00izPMZWEi00fpNNXZyLSG3R2pK0JuialdMwJM7XHVrvoa5HXl2e40NCzu7QIZHJkEI2ZPQBNudnpORACGbVjGGVW2CSkMxmc/7F36z4zmHkUaOQjebhg7vQ9Xz9xUv+5198iTML5o0lBYdS+YEchSAQqZqauWlQXc+vvjzjdNXykw/2+fGnT5GrluevzxhOHjGvGy7PLzk63OP+gwe8efuGzz77jPv37vPZb5+xd/eIrz9/zuOnT3n68C5pu2Gz2RDGjpdfvuPvfvuC07VAC481khfPXnDRd3x0tEcfBH3o2K5XuLGnni8RSaDMZAoa8j1zM0KTGEmIag9UVXouI0YbdKleRUlp1YgEAUnmB3P0ucp+fHhCTCa3TQhFv94WlcMVz774iovU8tGPPuLpw8eINvLN9Ve4FJkvGj765CH3jvaYLY44mC9QSRDHgaHrGPuBt9+847PPn9HViu94l+WQKZGGkXZzzd7juxidF1af/OBTLq+/hjHSjx3XF+esV5dcrNcs7y356NGH3Nm7i/CSODiG7cD15TWiSlgkwXnGdmRzveHs7Jp3bzd/6PH5x+3vectqI0p8+41Bl5ziw6C0A8IkF6aACmLuEt0ZZ4XseO99wDvHMPS4cSypPRXamOI0TjHfKoXKCRAVcL8DR7cKnBP4mMAVYpJc5/0Iwe+AfizmfDfO3Tdgc1cJLlVYUWSsajLuE7e/lJuqImQyY+dgXf6Z0mvN7Qz6G0l1oQNuzPV2RMENOEzTd96uEhdgdps4ufEouCFoRCE+pBK7CrjU2X8mmqwqSJTqLVOVNO/5DlfKrCJUk99CUTDE36nak6ZzPSHIAnSLkZqQt6r/0ylLGaTuRixJJBOA1KAnM7ddPXx3jidAxwR4yysysVOc9G+RLlLlNdUNsM4jxARYC5EkpnNZgHHwPvco71zyQU7joXRRW4jd9+YxE7vq/LTvOxM5Sj902VfEzZjvJs1ur2+9ZgLaCG5iE27LAzIh4KVEDlndsHuNuP3XqS1i91Xl2r0B7zsybadKoezn1FpRetilQNos1VZKoY0uz998DU0tMpMpZnAjhLhTAwiR4yaT0vkaEbnyr7RGl7QFKUQmEUJRohRgKadrvKiBfIhl/It8vPhjOB+4Wm/zupwbMBoDoGuMYJcCoBC40TH0A7HvGUkMxeNAmxplK9oU+Zf/5u94Mu+5u5Ts7e8jEXjvefnyDb/65W/oRodQKp9rkcFh1/c5DUwkZk2NkrBptyyamk8/+JiPP3gfmQKvnn+NArSuMuEYHCEmvHcknwmP3/76M549/wZjFB9+9D5Pnj7GWM3gPN6NXF5c8uLFS7bbLTHm4uj1xRWr6xVB1ghf0erAIGpCknkOI8o1n7JZnZFI4UhhzPdCXYGuQKjc939z6e0ILZEyyWOUYG4VB8uak6Oa+aLJBIPICsQYE84NXBbnfQl8+MnHNE1NVRu+/voZV9drrNF8/OFT9g8O0CorGrJBSyCJQN+2vHzxDZ9//gWrVcuf/vl/CEKSkicGx3Z9jbWZmIgI7tx/QPAtUmn82LG6fMv5mxf03cjBwTF3HrxP1cyQKqsrhzGP5d5yj2aW+/LHcaDdbjl9947N5vevR/4g0Ne2xhbTiYWt2Jvv45Sm7TtccAxDRyMVnizrlUIwxAEdHY2Q7J/cJwH9OBDbLZUyrLqWduzxXZfZL6mQRmXpVkzE5AnJ4zoPsqUbWqxtMEriU8K7npAS23bFsppz0CxJ5gBjm/wgETD0LVGVHHc3IEk4EoN3kBReSKL3yL7FK0XbDzn/W2uSFCQCM2tQqiIgscpipaDWlgGBKxLxcRyReGb1HFvNqKqGwY8QHbN6RkwR6Rxtn2X41lhEGgnCYMwcIyCGgdXqOkveYja4ktJkYiVGaiUQpiGklMGtaUh+oBtH3NiSidJEcj4/bOweJEEVPWNQVNagdc28ybL/tt0SUmbSpDT03TanHfj8pxt6jG0Y3MjYXWeZVMo96bbboG2T4wlFROmmMI655UKqJrufS0W9f4CQM/p+oHUbkCaDelNjhM3376qiH7bQrfDimhgjA4KQAkqaLEkXdU4OCGNmVkMCFTC6QSmTKwLBI5ViOV8WdjjRzBZs2w2VGVAxEVJCpJClj1LlRftQ3G+VpWs3pNjjXI8bO3ArjIQkLUhD9CMxjFlK6DtEJ7CzQ4xqEFJwsFzS9pK+W0MKeBeoKp0N3KQmJIEbWoStENGTKvDjwBgGEmCNQcgakkenhFSCPgqcj3gXM4FVAAsyoouJWRzOkTGD3851CGXLAjjihSJGT3A9Ibkc76cbtLHMZrN88xaGEH0mxIYNIo5UswWL2QHt0KGkxAmLMZbKWvzoqSqDMYLgRqQy9KsLNttz/PCWxcFd9uf79KOna1eM2yv67px2c4ZzPcrM0dqgZXbmSzrLaw/3HxOFKdURCCLh+y6rQaoldpkfNFJqtJIgNTF6oncs5iNjDCil8cOWuioqCCkZxo71+gJjLcFZrMq9u0mAlTXWNvRDS0wRnwLOj4zjBlKkrua07TUxgtAaO1sinOdf/nrLvx3e8H/9j7/LR+8/he2W18/f8W/+7jdcjgNytqBdb9lWTXZVrSyzOAMSRhmury/ZdD3LO8e8pxT/8IcH0PU8e/6Gf/V3n7P3g4ZP2o6zr1/wrDI8fXyfe8cnLE3FX/2P/4q/+fUL7j19xGx/jz1j2V5f48myMzVfYKsVcjnn//iTJ7z+6kva3rGWivlyCUnSyQpZLZhVEeQe0ed+yRjLelhp5s2Mvaqivn5ObxrQc+bWYmPCdVu6caCuagI5+sg5h5SKSkm0jhwcLHj8uOHO8QGxbRlUTnfoti3XF2dcX1/Rp8jy/WN+9unP2bNL4tbz7vwdv/31M1Zh4Ohkj08/esLewTGNrDEp0XctYz+wurzmy9++4KxfY04qfvjJR+wtFjvwFUMmyKoqG0ISE4f7Bwybhu36nLFdcXV9DpXkve8+5v6dRyhhEEESfaRfd1yfX/H69JTl4xpCoh9b1tdbLi9XvDy/4Pij+3/o8fnH7e95UwWQCilLas+tBTZFCpz4lsR7F0KXboGbKdauVNfzIl+WPn6ZCS8p2bnml+p2FGln7nXTN6xuKuV8uzI6SZ5DMVaKpSI85ZZPletvAZrpYG9V9QXc9EbLm/7xqW69A7bcfvNU9abIw9n1EU/F7RsQlyBOefBpB5pvEgnEzY4UxHfT483udTFOioD4rfdPYzOlCvyuC3kGgdnxnyKVDzH3T6fSVjBJ6HefMyUATC7zUgE3UYQUgmaKhxNy6tWeKnsToL293frFTo1Qzspt8Ak7MBxT2oFVpVUB3ApxwwrtlBc7EoVUTOUmAJ8Bd8pMDJMSI4bSUuFd+enZRe/t5oTMaTjJAqBVVYzusnFcHt9MKqjduE/7Estn+t3cTLtxuE1ofGvC7MZt+jm1s9xWb+zes1MA3PycyIhMPtz4PAghStQjNwaEZQynFoIdQSRLHF7ZcpKhyFGBzuVeaecIvnAnMRRSb8D3XfnTEl1OUVA6V+GVybJ8pQ3KGJK68X4ICoytMNagCy7KMZYpq17K8U+u8BPBkwrBEAux533YgXxkJnRigpAKuebz9RNCYhwG+naLH10eF6WwdZNVhwiu+oG/efE16Z7gyT/4mKZp6NuWz3/7BV99/YL1douxltFlFa/RBmstVhvmTY1in71FTWMUoanZf+8R9+7eJUT47edf88t/90s++uhDHg6e9vSUCFTNDCVgvbrm+vqaZ8+e0Q0jB4d3ePToAU1jkIVg9MEzDANKKY4OD3bX5+ryCtCoeomc7WHVIqdcpaIUIpW5GTBKYnX2MgjBZXM+2yB0jUQh00TY3SiVZJlDUkoqJTheKO4ezFguKoRUmTBLmXB1fmR1dcV6teLk5JiTkxOkVNno2w08e/YN16sNi8Wc995/SF1bdGnNdeNAjIFuu+XLz3/LN89foEzDD370M07uPcrt6CkxFGJlNpuX+6JgNlswaxr67ZrN+pzL0zeA4MHjpxwe30ebHLOdYm61OD895ezsnPefPCUhcONIu77m3ds3hJC4d/fu797QdtsfBPp7TUNlD4kx0K4uuGpbxghzWyOMJlIkEcHRbq4YhUQ1c9bdgKnmXLdb4thjtaI2DUpDoyxzpfHeFWVABVLjxgFBRKaAK737koTVmmEcISVqawloQgzU8wOssTgp8H1L126xCtCG3o2sNqtsajBkF35tampjaGYNXTD4oSXgGccRF0ZE9FRAPzjGYcvMzlge3kGYGd040IWR3g0MzhHdgJFgjM1GglIwbq5Y1hV7dYPzmsF7uq7D+w5tbXYfF3pHhqcwIpQiqhmWzBwrZbleXWCkRNgMonuXjdASJQ805P5xJWF/dkBQ2WxHpUgyDcrYfLNwI3NtiFLtDGaCc1l2imRcXzCf7YFQ2WjLjYgU0LoiSI22CtsskVIW2XJ2V6+qGh8TOsWd50FdVShdIZTKZjvjgI8KGUesTlApBkwG77aGmPApEbxgMd+n9wt0AQwhRAwp9xMlmaP20gguEFyL0gaYkcKIthUpSVIYGboNXkISmpgi66vTLKEUeTFQmRofBNH3WfrkHVEEpFDEODJ053jXEn2HEBqhlwRlUHaWFwp+RIY+KxlCxIWR7fVbxOULjKkwqkJX+8gkkFGwXCywTY3zAj/2BDeQ3AY3dng/YIyGJBmHDd6PjFrnxWpIOXIGhzQzpK6QyuD9gJIKWx+AqrL0fl6DrXNaQRJ4IvgBkSIom5lGKRC6QmIQsmIYHV2/QbXXaCJSV0Aguh5tZiAU28u3jP22VMdVJhuqBWK+j1KWzWoLStFoybA95/LiNb3bEpPjYnWNKeUXLfODdRg6fHRIu8jEgu8Z/ICtF1lhkwKsrlCqYdYscq+9ECQTce2W0+036MpydHCHqlkytIHN+oquvWQcWxaHDzOBpgxaJFRdMauXhJiYVY6qmTP43OOopMivHVu6cUtEUNlMhNXVAYfqhOQDfd+SUsgLe9UQXE9VKWZVzYODO3yyvMP7Dw7xly85f/uOv/7Nb/nBn3yH+hcv+Wybe4K1sczme3TtwNhuGZ0nkHjw9AFP7xzyr//mG05mnnh9zZdfv+aX37zlbBiJZ2f8i//+nzNznmfv3vLPk6RuZhzOGy6vNnzx8i1vNluO7h5z99ED7t+/j/IB349cvjnl1TevsU3DcHFB37ecnByT2jv84puX6Nkeh0eP0YPGKcHR3h4iTpWaXAlIxfTS+p7UXWKP7uDqOZs+t0gs9w5R/ZZxHIghsjAzYlWhqwqrIw8ax95CcWc5I25WtNsV4uAe9D1je8mbN68ZTeLR08fc3TvACsG47mmv14zDwOt3ZwglefDoiPfee8yiWjK2Pe0wcvnuLW/enHN2dcWgHD/+y+9zd36PbkjUVTM96unWK1SlSMHz9uVzKltB73CuZ7u5YBx7quM5Dx+9T60MlW5IIeHGAT84uvWGq/M1p5eXHH/4iL7taNeOi/NrRj3y4z//hP3m9z9Y/7j9/W/LxbJUu4BdFTmWin3OId9VI9MtEF1+RaIADFV6v2FXlZUwmV2xA4K3q5q7j53eNr17V21GTBVyblW8s1GXH8edTH9njjd9zlSBktxUn9P0ETdV4+kzbwDYVPG/Me6aACmJkpwudm73vsS0TZL1abttULeryu8YgenYCpITt9D+LQJACFDfdlC7RXjIXTa71io7xpMJGe99lp+mREq+FA7yeRUpIWWRDAu5c+dXpa99quhn8qD0LWuT+6hvyaYT2QjLe0/wWbGJSMXde4dQb53v24TLLSl5jCRRqvri5kB3LuylqpxSBjixSPinc7qLVxOCG9f3m3i9nZni5MJfcsaJoURJll58pWEHnvNHBpdByziMOyIFMnA2woDMbQSZlCi97SGDYu9drkQXdUnJa9zNrZ2iRGTSZ2dOV47phggSN8NCIbqELBV/UdC4oEhySEGQZCiTZZo7WdqdpuuAG9WJLOaLSuU4svz3bG6XEnjnGbqefrvFj5OatYxtyEA3lN57QULEQIoCYsKFkVTGThqLsjVVXaMrm4Gjyn42KeZMc+nDDUFXqvMT2JzmvChqC6Ep0YNFij5ZzhUiTghRiJaUibkybrFcu27MZnZaS6zRZVoKlNLMpOTJ4Qk/vC+wwjF0LavVmq4f2DvYZ90ORJVbYgWTR0CTzQj9iCIwn+ViWm0VRtRstlueff2cv/7rv+Ps7IK9wyNO353yt7/4Nd+8OePg6Ij7907Ybtecn5+xbXNqkdIVy+Uegky4dG3L1eWKtutRSrFczJniAvYPjnHCsv/gKXF5Hytt0Zbc+FPEkH0TjExUOqH9liFss3LY1kRj0VHdmB/eui9Nn6SVZFlLjheW2qrSpuWKIWQi+Ejbben6nrv37nF4dICSKkc+pxw3/fz5KwTw4P4x9+4e75Q7KUW6dsPl2Rmn797hfOJHP/kTFvtH3Ln/BIEqLUme9XpNDBGpVT7PJLS1CAFXF6f07ZrF3iH7R3eZLfI+ZMLKE8JIv93wzbNvuDy/5NGjx7Sba64vL1hfX6G05b0nT5gfHPD7tj8I9Pf3T0gp91nMl0ckoZEh4KMjjglbJo+WgvnxEpSh67Y0VaCqLc08R74pKTG6wgdPu1nnLHASQ0i4vsO5nuA6VBLsL/aoZktqa9E2R1bMI4Qwsu1a3NBTKUFVDHaM1CSdSNExpEjsVsyqmurwBCEkvevpug1G5Mvr7OqCMPZok3tqkIbK1CitSDFilCFJyzj0XF+fUzcDQucYPFREBM98NmPWzNj2A32/RUCOlgqR/voKN3QIpahMzd78DiCIITu/D24gDOusUAgu92X5mOMXVMWinoFu6LotRiWEqai1wqEYthsqYxGm3t2ElRQIo5g1NUhLFODHsdy8s8RLSUFAoo2msTN65xEznTPBcchqznK2j9AWrQ0hBCpd3PqjJIwtkghKEX2EOJCEICaHEZD8iAsBSX4IW6Mh5guob1eMrqdulth6Tl1ViCTw3iHqOQDLmWAcA5v2Aq0MPgmSFIx9m3u8bM4e98HTt1sgxwE5N2C0QmhLUooU8vnRSlLP9vFkJ2Dne7p2RXQdIcXyoFH5hiEEwljq+THeH2cpcsp59rLEnrjhmhBdeVZJrK5JMqckaGWQwpCUJagMLMYQubw6J115pLSlp7fHuY6YRqLrGGVOYwghmzRG3UDMUVAhOmTyKF0jTYWOAZEiEUkIY46MCwpELA9eiNEjhM6ZqgIqbZhMh5RWOSZQSOpqLztFi9yjb+oFkkByHYks9RdEbH2C1BK8RwwdCWjbDa69RiuF2bvDxuWK1+zkMXMUENDktIXeDURaUrdBqhqbDELmuL9KW5IQGK2QyiKkpOs2BAGh96xWb/N+mwpBNgc0UnK1WWGHbMIZlEDWDVZLNut3iDgyBsf+4QOOqyNCTAzdKo+jkhw1C6IyORXCNxizj65svukW7VzfrvHDBj9us0Jk7whrK0KUuLhAiUjwI+/VPR8fK8T1GWcvXvLy+oo/+6f/gOa641+8vaR+8BQxSQZjJixDCGyuVmzGju9+8mNefP6MNxdnfOd+4pd/e4prlvzwJ5/y8XpFt3jEsL7mv/3n/xPXLtIPjuP7dzheWLbbQC8tJ9ZycLjkYH+Ou84yuHcv3/K3v/yS+aPH9BeOf/X6CjMMbNpX9NuB/eWCoCpUtcd+pfGJsgiMOB9ICOazRZZIpoBebdj4gZAUl2fnpKpmf++QWmazM7EsiqzizB2INFqxSC1P7x5j2w3Xr5+zaSqWyxM21+dcb1c0dw94+uB+luKPkbHf0m9atu2G07cXnK83zPdnvPfkPotmDz+MjNsNV5cXvH31hleX77jz8UN+/uEnzM2MNEiigHmzhADDdsv2+oy+31KRsIuGZb1ktT3FB49QksOHd1nOlyznB+gkCC4Qxg7XtmzXHZvVll9/9iXv0jmPV0tGt2HVb3n48WMe3X2Eoca14vc+O/+4/f1vs6bagaQwVcgEu+zsyRhPMWHSmwr7hFFztToDl12FPUVigLSLdMvqOK1vGfkJyMHg7Cq7WYp/I1MXAZIk9+SXimVObtGIqirgKhCKBHsXq1XAZMH1ACVCbvrvnV5gt+WlLDtyQU4xreSDn8BRIuWoqNLrniO68mL4WwXt/x8ERm77v6mS3ZANpdO2oMydG74Qu7G6ISd2dbbdFgqATQXQSaWwUmKMuUVuZCl1Ks8prfQO6EORDu/i3G4UDFNuvQ+B6HyZLyk/Z0MZZ1Gk8/yvCY//9YB8e8xvYMSt6n4hR0JpBwkhZKAfYn6eFqB402KyC5Xbnd5UJtYNaSSyUVwiA+SpDaIg7glEi8IQyUJ2IKcIPpjiAHN0W9i5zcdxIPphp5KIFGCq8tjJQsTs0gyEus1r7ED+FPVHIbdu0z+JiZC7IR0mNcfkIC/KMU5kyc4k8RZxkKb4yzQZVmYSxXv/Lc7ptpFh1cyoZrN8BmMiuDHHZjuX281uvX5q/0Hm41a7Y5qq8Jmkc+NIiqmY4cmbuDshkWqa+7eUNmUuqvInG3JqhBIodWOYOHmHTMcoJxIz5XtVTJS1rkcrgbY5ESmMDpID5Xl8d8bJYuTq/JxNN6JszdMPP6TrHc9evMXWNbqqGXxAFy+S69WaV69eMW8qlo1ltdqwvbwgBY8SoKXge588pXvvPvfv32G7WfHs+Ut+/dVrlHnFyckBi1mVzbJTXkO9enPGm7eXVMYwjD0vX5/x6s0Fg4PeRfohcHm5ysqK0eX48yRJQoOyeZxgN4ZTzKERESsc+IR3Y7lfdsTa5OKmVplILFMuRrGb25USHNSKRmWzOteHzCmpHCXsxkwyPnjwkIPDAwQJ7zLx5dzI6ek7zs/Omc8qPvnoCbYydG0LwNC2nL59S7vdsn9wzP1HH1A3M9abtsxXTwwSN/as1tf44LPcH7F7ZoSQi83L/SP2j+7k4qqQRJ8JODd0OVHq4py3r99yvd5wdnoKRPq+5+johHuP3mO+PCB++3b2re0PAv3z07doZRjJYJ9+oKqrHCvmBlard3RjSyVyBnVMIKVgUe2xqQeC69AiImPITt9jj0s5+sYh6McxO1FWFcZUVNrknEofcGELXdo5YkbvSEoxhEC3zgt4hMDOFjlPtdxUvPME3xLpc0+v7zncO0TWCxKCZnGMSIExOHQStCEiQsjkg8yGNDOhUFVDU8+QxoDQpWoaqXQgJY/zCWUbDmYzrIAuKNzoqKRDxMjV1Tuc1pjD+2AahFDUtaV1OscHJqikYExZlmSNZdv2uLFFyoG6NlS2AaEI40iIgSFGREzEoSPGgJW5R7rWllk9RyjDdbslOYcyFS5E+qFnEBElLTNTzDwErLdb+rGD5HOlk4TQFUZnYNpCuTFbZEos6poQE2MChM5GhErjpUYmSs9KjjCKMZG8p64VStXMZJYsS1NlVUTboUgoPeIBnRIpOeqmhmTxpc8pJej6FXJY0foRP67pNhcYo7HzE5KwtLdcYZOPCK3xPuBCoqobam2IVFR7R1nxNt0AbENSijBk6ZZQChMTwY856k5KlM4Z8sEbhNuSZDZYyVJPjdUWay0ygXMjxiqknuG8Q5kFQhmEUCg3EKsZjdQIKfAuFlmRyHNp6DKTqxTOjSh0rlBoTQwutzsok/vtU8B1V0Q/5Ii54jQdQ4+u5uikSUnRDRvScJUXm2aOLa0oja4AhXMRxo4YR9q+Yxw22NkBUmikViTvCUSk0nTtFcmN1Is9kqrydULC2pqmGF8OQ8swBKS01MsjZiIi8WiR0zW6fkPXbUAprJ2hhSLJvAipKsvx3gJtLTEKtl2NG0e0ECANKeocS4gnDANC7lHZCkkk2jmySmhbM3dbYnRcnb5hMV9Sz5aEoUdVNU3dMI6BLow08z1CiiiRkNoiYkIrweFyj+vtisFlg5UoBCGknDYSAt0wsF85wsUZ6eCQ6+6KN+fvePLDj3m03Odvf/2ad4Pg3//pjzk+PKLftly9eQMpsb64wAl4+sETLk/P6ZFcfP0579KMDz58jx9+8pTNyzOeizvcffCAA/mIl18+5+vLNaOSfPzRB3z64fv85ldfc/L4AV/8z39DlU748pe/5KqqeffyLS/fnrFRmu/bGb4yLO8esPnFa/77zz6jWTTcf3jCYnGMaRbFGFIiYm5fsTLgCvDw3oPvMOtzgpRsvOBs6FAhIfUVh/WcqrJZouhGxhCQxuZkDBW49/CIWRi5+uZrLtbnqOYx29WGdux48r1PWZgaKyXCu/zw7Xq6zZqz19f8q3/9K55dnjM7sDy4fwcTNacv37Bpr/ApoY/nfP+jH3F8dMR+tY/rRjbrFer4PpUwrN++4fT1C86v3yDnM47uPGZ/foQMiW6zYUwjx48fs2zm6JTA5+zsMA70Xc8wetYXa776/Bu+ePmMuO94/fYd9+8d851PPmB/ccy8OqBfD7RXf+zR/99z67ZtzqtPsbgTD4zDkBd/wZcF4G3AeTua7cYMLPis572RsedM9pjIwD8EtDbYpqGqqlIdVghRSGKA0uefTfJyYhCFZOXWol9N2dfqBgBrpdC7nuVcKY6lMnhjQJb/bSIWKPspEDt4mg3MxC10uHvhzngwFB+CEELuNda5eDJFsyWRbj6H0v4Qb+T7ZRd3gO5byoIdMJuOWX4b8PwOD7ZTHpSoscmoLpu65mjEGKdot5i/RpY+9tI+oYzB1LkwM7UwTMAxA76b9UAuIMssq1f5mKYK8TS+aSJ+yrFze/x3fy/xeT4DrOhcAfK+JPGUeabUTkGwIyBKf7aUxbFdKabM9hsuROxO8o0BYKloxlhM/CbDxjx+kyHl9CG7MZ/GAkjJ5+NNeR2tjEYYDU116/vFbgxu2i3Crb/fqBxun8/sVZBTjyYDx0kZcTMNb+YERaIvil/NThXgJ2Asy6V1Qx5MZNTtMWV3XuKtuckuTk9qk4svO/AnoFzzwbtdXn30xeOAm/krZQb8St3EOQrSDXEFu/uIEORzOa09dwkAU2JHJCWPlCIXVLTJnyunlp9sOidLlGO6RZRAzKSlmNRC4pbSKOJGh+sHpNYkPKSICyE7w/vE4d199g6O6F6f0o+ej77/IUcnd+n6gc2m5fzsjK++/AotIk8/fkIlE7/64rc8+/JLlosZH334hIcP79LUNcoahFJcr7fs7c+prAYlee/RQx49uMObt69p+wGEwFjLqzdnbDZb1tstZ5drnE/MmjnWVkQ815stXdvn4ocw2GFEhUjS+fwKIZATgbabcjk9y7XX9O0WoS1eBtABrdPNfWBizUpKgxSC2ggWFsLQcbFZk6Jnvpxjq4qUBMvFnOXhEbNmRiLhhp5xHNlu16yvLvj1Z7/l6nrD3v4eDx7cwzvHVd8z9j1D16GN5cmH32F5cAetK9rthr7rEKK0kYTI0LdsNmsQMJvNkDIrUIJ3SCk4PL7L3uERxjaAyPcXNzL0HX27od2sePbVN3z17BWj89y9v+bR44e898EnHB4do43F+8g49vy+7Q8C/cENpBRREqzWrNly/uYlYRhwY09MmY2WMYExWRKTBJfmipQ8vtsgU0AJQZSamGQ2DAGMndEsD6mbGUJK3NBneXKIWFMTpCZ5nyXOWrPuWvAe5x2WxHwxx9oZUhqS1iihiEqjxp5KqpzN6HqC0yiTjaP60TGMLdebFW5sWdgaM5ujpM13DGVwwQMBoyXD2NPEgDd1jjmLHmtrQnGGlwlwkS5FOh+IbqTtNrhxQzM7zCDQ1Chj6EZFHD1KZbf2FLKxYG0qlFZstxtU8qh6nt3OpSLKbDamZvtU0bOUJwzjiEr5xtj3V5ACm77lettRq4Q02c9g9I6D2QwOjklJZMMh19P1PcEPGFsza+YEqXZZvACLypKUwfUdYzHtq4zGakOQgioGVptrkhsRaUbdaCpj8CEydCv60SGKaZ4xdWbNYySEgcpYpDYcHDfZ30Ap+jE7Iocw4IaWbnuODw4hTQaylIV4hBAldvkIU83RdkZtNWNhxHy/QsQRgsptAEKToqepl9RyznqzxomRRtvcL+9HpI9oVe0qBi6CG7PhUQweoW2ef0Jl+b0fMyMefZ6rJvcmu7FFkAih37k210YxWx4RRMXgzpnZCjd4hn5LjL5UgwZC6EuVoRhcCk3ybXZniRFpG6KuST6/Vld1NmLRhn7wuOGasR+RQmCUQOolITqM1nixT9PMc0UneCqj6V1CK7BNk+VkvsveFGmG8CM+DYQuxx1qY7HVPJMOJp8L5wa245a6v8jHN9tHSsO2bVHJITS4wSHJ/a/bGNgOAykG3LjNcYdaoaUmJHDDGlvVGLNkNttjPpujyZUxlEILUFZhzYzKVIxj7vOXSSB1jSDRthvWp1+jVARpscZw0bbU0aNSJsdCbl5A4nDbS/oQMHWD9I7QZdJrVs8xdc1yeUTyjt71JGULmy9QumKhOiodCX3PxcUpH/z0e9xr9rh8fcGvvjhnsDPunRwhSTSzhsYq/uqv/pZf/eY3/Bf/l/+Se7M5UUbGf/cLhjjywz/9R3y0P2f15oxnVxse/fCnbNcO0Vi+871Pid+8JVjFf/Ff/jM+ODjgs3/9K04O9vhaGdpNy+Xasr+3xFhDFxzzxYJXL99yLe/TmPyYbGYzju4c0DQN6+1A514za5bMKkvdNGglGTdrRqAxltH3yJjVUdRzdLXkuJ4xugFixPnc6nR6eU7nBuqqAiGx1jJbKugc66szVtenzB/coZ4tuB4Gjh4+4Hh5gPEQxi2b1TXddoP3jovTFS9fnPHZl89Y9x0fPbzH8WLB0Pb022suNyuOHt/j0fE9ZIRKacLgMpmy2fL0k7v0l2uuLs/pCcQUkFWFVjovIKQgkNg7PqJREiMUIkX8OOC9o9t0XF1dc3V6zS8/+5Lzywtenr9j2dTc/eCE7z76kMXiGBUqhk3P5nrNav3HeL3/PbeubfOCOOVoxu1qlf0pxj6DrpRbwlK4iRBjAlFlQS5SzFJoICSyiq1u0FVVorYUqlTxh77DjcOuiieKgnEHzsjyeAHZc0QUoCam+LwMXiFX6na9xVIWmXwo1e1U5mg+zgl078BoOf4JIMQSFTgdUypgYFdLFZOiOBFzuTY/j0vcYK6WFXJB8K3K7G3p/lQxn9oY0re+s5RTb4H+nUP6BDx/N9asHF1KN6Allaot5dgEeldxzRF0BUzdqnRLJYu/gt+Bvx3gVzl5ITve35ANhQLa/R3Szjl/ig6cTNlyb3zckZ4xeIIPO9AtETsH9QxQp7G/8YfYmfzdikJTWpdKsJj4IG5Hs+2Gt6QC7crkpW1gilubzPhuy+pTIcAIiSTy2sGPY1aUKY2pa7Syu/0MpT8/hQKAfY6Sm9If4rRfZCJoOs23Zfs31fyptH5j/DhVtJG3jfgymZWHaHLrv92aUvqzk8zNA6k0EUxzbSeVz4chikpAfmt/ypjGck6mQuGtNA0xKQiKtD/GRCoqjARoY1BTi4ASO7JGyeyHoJVCaonROQYuxkQoZJr3ec5MKpoYsvcPKb9OqRy7d3smRinKWIvfUfZk8CqNwhpV/LISRktGncmlSibW/ZYr47B1zfFyD1NZri4v+PLzLwDB4ydPUbaCfuDtu1O+ef4M5xyffPIBTx7exfdblrXm5GDB93/wKY8fP+T6es2LF684uXePg+NDDg40P/vx9xFSo0zFP/vP/mOGcWBwPXMXqOuKw/0lRhtOz1e8u7jM6gKpkapipqudV0A/DighkVV23Ke0okxzbKfWChGZPDL1SL9m2Fzlde58H1kdEIoyNKWEdyHP43KeBaCVRphsirxZr0jdFfsHS2bzBbN5Tmir6gapDYlMoHT9wNXVFe9eveDi4oLPPvstXTdwcnLEvK7Bh7IehIPDOyz3D6maBULmNuZh7Es6Qo3zHikEMWbCbTabMZvPd2qtFAK2qlku59TNnJSy75VzI0PXMrYbVhdnfP7bL/nsN1/y4tUph8dHPP3oE97/4CnWVpCKysF7Nqsrft/2B4E+RtOPA0bm3k0RY54wUpF0lQ0uwoCWIsdTxUjyZZEFmPk+CI1VGlPVRCEJMdAoia7mueLsPAd1zd7hARvn2KzPGYYNLgrGbo2MkcXyAKE0lZbsNfvUtiFpk43jUjESEQqjU1YXhIBWCWNrRiHZ9C19d0m7viC4Hh88TdXQ+RHXbQgkklb4mHLUy+jQKpvHLZdHyGqBILBs5gStGZ1HpUTnWvy4xeqaKCxCJPb29xHyGF0YSiEiIgZMSjiRUEXSZMvNRCiLEhFTNQx9Au/A96AtQhu2PhDbWDJ4M3hFZNfytlthVel91xqh7I28XVlq06ANhJTPiVWSgCUIgVXFiR6wSjIkj3MDTkpkUth6zlxnp/GIQCHo+o6h74mqBmEIQjCMA64srAbn0XpyOs1GaOOYHeZjimz7Lb3z6MLWC6XQGJDQdmuc67A2x9RJFFEIlK2prS3mWkfZC0AkZILKGGpjGQePn+3j3UBVWYydlQdkZBg7hmHLtl0xujVtSkDAuR4ZAzmctGI+P0DqGVpZlCSDXNMgjCU6h1AGLSTRVIzdNYlAig439mipSAJ8GLIbuZmRkCANUlqOTj5ES9h2W7ys8d0VoVSfhTBAIriO4E+htBMgLUI2hCQI3kFKyBI/OPoAYSwZpYkYHOAZ2oSpB6RuIHTU2pLcBqUr/Ajt9hpjOqIyGLlECVmi//J8F8IgUsDUlhCb3NcsLbbeK34HEl05FpwU5lznBaSE1DQIUZOGPs8/KXOPqDLU9ZLoPft7d9BaIZKgW19wvTrNi5Bmn6bZo99suTh9gbWaZraPNjVDSPkU0ZCkRtWHVLbCuwHlehSJxWzBbLbILRLe4aPH1g3C56rGMDqSGgpxUWNMxUxYeh8Y+g2DS0Q0nXcQKtTYQwyY5KhkYnl4CKrGSHiwuWRzeUV3oHj4wWPuzPfZnJ7z9Yt3fHO9Ze9gnxQcdVUx9gOX5+fMFzP+8i//ESYMXF71SFvRRfgP/rM/54PDQ67fnPLls7f86vQSP7+L3j9B+MR73/mEvXsPePb6NQ/393n3+RdUxrI6PWfvzgFP33vIYtkwvj3li6+eoZZzmqbi6O4RV+8GUoB6YTk8nDOrbU6j2DtG6j1SiDjvYZtbqbb9Fl1VbLYt7ThSEzHjCrN/CPM9jKgIaZYX1IWYWsxq3Hqkd1uErPAqUeuahYhcXZ3S3FlyfLQkmQXVneOs2igM99i1jM6xWm0YR89Xz9/ycnXJZtgwuoE0bDk/O+dgfpd26Ln3wXs8vPMA6SNSi2xk2Y6sN1tmd+9x2OzTrVaIecXdu0fE9oot2aE3lsrdfDknMCLiSBizwZUbHe3VFavNhhfP3vL68pz5+3s0i5rfvHrOn/zlT/jhxz+iChUiarxL9G1Pu205fXX2Bx+ff9z+frfJRyLnlefFvdIaZFMwkcBCwQRxt7hOJb/9psqudjJipXILW5bK5sqnsbmdKATPMPhbIOxGHZANAbPzcr4P6hy3NZnDTftc/l/AzgjQuZF+29J1Ld65UjUUSK1vzOUoXaZSFEAjCvjIpPTkTM2tqizlc3aV6ELe35jW5TjfG+CTMjBWxXwwTYDyppp7G+hPY78zV2PCXVMl/AZE367s3yY4ssQ8A8YJeucF/gTiit8CaTeWolRFRalqhpivW+/GrKiInhASUUpEkAQZSlW7VLYL8M6tGr4UNqY4wwn6ljEUglSq1KIQHkJJrM6qDq3Mrif/5rPZHf9tQDpB39ttDCnG3FYQshN3rjTfctGfSAulUMZibY02WSkpdCYtpRQkpYrpW4ntK8c0kQyptAtG75FaF1JiksrLArgTYRzw/UBwQyZOgJw8MJ2jPDY7Pifd+l2piKeJWZreV2aBiFneDjq36CF2Xg1TtZ9vKTIKMSBuiKdc4eeWpPv2+brlI8CkgvBE53FTFf6Gg9hV+IXWOwf/KZ0gBFHGMJB8NiVMAnwhOWIMOfEiBLxS2ZBvIpZ2En6FNvl6CUXtk5M10jRTsjlbyPNDSAExcftuMdF6U7rBjT9B9rDK96AKYyyCiAk5JlbuK46ODtHGst50PH/+mmffvMJUDc18luedD8QExtZoqfDe0243SNdzcrjk3sHH3L9/Qtd1/OJXv+F6tWG2f0jdj/gQaJqKH3zvI5pmzuHBgs9++5bLy0sQxUsrBupZw+g83eBICQ73l8xmDUlI6nqGrRqGwWOrBjU/xMz3QOf+fO9DTjBzQ5bPB4dKDikGRNiSgqNaHqD2TkiqLl4ZpV2H3HPvxrxWFimRdGAwib5z7OnAyfERx/fuMN/bzwUzbZDF38E5x3a9ZrW6ZnV5Sbvd7DwGIGGNxuicTmZ1RbWcM1/soU1F1kODdyPttmVeeuxjCPn+VQibpmmwtioKnlhIG4NShhhzqpbrW9rVJdurCy7eveX03SkpBu7fv8fl9Ybvf/97vP/0KcbaQnjn4ne72fD8q6/4x7/n2fkHgb4PjhhGNm2L71tEyn3NlW2Yz22JSVHEQDaaKsyFllmKng8y5Rz3JAgp0o89fsgGXVpp6nrGEBzj5hprNEoqrs5e5ni9qiFGyaZt0VXNaAypvwJ3hlYiD3zVUNVzAvkB5YNHx0BVz+jaa6IbGdxAP465T93OEAl89Ex5hvvzJbrZI0rB6HJsxNzWmGLiFkR28fYeos99PkPw2S+gmWPMLN8Ahww8QvBcbFd410OKaFGM+GRCFQJhjDE7h9OiU6QPHiUksTCNIUXSkJmv5XyO0jmPcfQekSJKBRbaYk2uYG67FdvtdY5qGDpsFdmsPPXQErUiOp99D6oGWy2IKbvwbtZrhqHFVhWVyn3f1ghMXaESaBJCS8bRs1drtmqGc5HoRwQJqWRWCGiDVgI3dmz9kBlSN7Drpx87YhjQpiaURUN0Gi8ExhTjE1uBHzE506QA6AxGRcy9Ll5m8sDaimAX4AYECvwIcaTd9AixIoYBvGd0uWKuhEJJQxQa11+AH0lCoVSF0JZh2CK6q1zJlzkmsqoPqGd7ICXjsCaFMbdwFOlcCjkhIaZIcGu87/FOotpztKnohWOxd4+hG7hu1wzdNYlsDDlbPCKaBq0Nw/YK119jdJ37Rd0AMeDDiBQ573UcHSTPGGXuQfJtZoCLKWJSewwpMLQbRHiDSA6RElUz597xfXoZ2EZH6COmOeHy7IrKWCISo2VZTCh0vUdKOQJJCc049mhgGId8bdkKScJ3V6zdyKV3iNCRVTA2g3FVY+sGbWcYVTEOHWNwrM6vWO4tSapmSAFZWVKAYXOJ69YZpAsFVEgP7facGHuECGyFZb48xpiKQSmq2YxZ3RAjqDwTEUOPlRJlFhA9SSVQNVW0JDfQtWOZeyOzxRKrDWq+R2UHun7D4AKbvmdQkqqqMlcUBtj2kLLPwYl/w53jJR9+8l3macv67TtevXnHl9+84Xq74ujkDlZpnA90bYdQmsVixtmbt3z969/QLOc8fu89tutrvvf4mIvX7/j1v/ucv/36Jcc/+BEnj5/w8jywefmW733vQ+4ZycMnD+muLnh9dobdn2Ok4OXr13TbUyopWa17Dp4+4Ec/+pSf//insHZ89vKXLI5mHOw1nK4qDg/2SGaJExaRsrJICri6uOL56Tfs7x0w9B11U6ONog4dIo4kafERYhjBmBy1aitEAsMeD+aHDGNXpJsht031A3v3j7n34D5G1bA4wsz3Uc4xupFu27Jer1lfXvHq3RmbsWf2/gGf7DX88//2f2JMA15G7t49oveeBx895c7eAXNjcT6nnXTbLd4Hri63GNNy9vIF22HkwUcfMjcz3DDQnOyTXHY8F2OA2CJwEANDP+DGgaHrefX8NduxJR0afvL9H7JnZ7z429f86Kc/4iff+x5zuYAoGfvA0G9BRAiSX/zdl/xXf+gB+sft73VrtxsgAz0/OmLwmLqhUrqEZZMJAG7XF0Wu4k8yYCmK5DX/PniPcz5XN4uBppAq90eOQ3GqL8S0yCZ+SikkCp+yNH5MQ/7cYsamJqMwrXZu4pTvGoccDem9h5RdvCe3dqWLS/wtM7UJJN4GpBn0yN3vb8rd3AI/N79N5MhY78LOETyl/FzOpMa3navZgVexi5O7/WETCJok33BDggA7GXOKNznvk/xZFt8CpXWRV8tS2c4Veu+yvHoHJ3dRaZPJXpY6a6ly0clMVfkMsLIHwkRQuJ0hXgZevijywk0FnFJ9FhlgTg79UmSpPZNsmkQq0Yje3WS8M0nnbw3RhImnLeO8uGsLuVEGhh04n9680wYUZcSgDNpYVFFDTsTHjoSZnPnj5Mg/eUfctDpkMBNzSk7Kme+qeB5oo9F1U6J9J1Ir7siRVPYxRV/6nuO3VAQ3konJZyLd+nuerWMhL7iVgiCLamFnsjcZKurcHpmvIZ2x/67aK3bKklgMDG/AdPZGmAidac7JYtynjSmfVzwAykWS1SMShM7/7ckFTBeIXpA1BbfOa5nXQgjqpqZZLLBVvRtnIWW5jrPnxA3BdGPCKSm+DZOagRuPg93d69b1OymIprmhhCheIAncwMmB4cn9JUorLi7WXJ5fM/QDXdezf7JPZQzBjyQSTVNzeHjEZnXFi5ev2Vy8Y6EjNnmODpa8ePmaz5+95utXp3z08UfUi31Wm56UInt7S+7ee8h8sWTWzNBSI6XOzvWD48p54vUGRG5/+OkPPuWjp+9xenrBi3fXGG05ODgkoLI31PwQoaucOFDwghs6fHGylyJhRECK3FotpKJeHuKbJUpoRAjZ40yI7L4vcqR08jmpghRIvmdmDQ9PjjjYq6nmS7StCrmZ728+RFarFe/evGboOowWHB4dMYwjfd8jRfaHqSvLfL6gqpfYeoZSJuMYsgz//N0r3rx8yYP3VDbh9I6Q3epJKUeJK5XvJSG4HJetsjlfGHq6zRXrszdcnb1ju14jpeL9jz7i8OQe682aJBI/+fH3qSqTiYUYcN7Tdy2nb17zy7/7O37f9geB/vb8Lcpm47dxHFlUM/RsTtQ5Hi34EZIneDIo1vWuf3fwjtg7tBJsNh7Xr3B9n3uTdYWezxG2QkpJ3Sy53qxYXZwRvEPbKvdtuYGZnVHNljl6gkhQ4GLMefAEutARR3K/uIN22CIl+NUlvrvGSIWxDZW2LOxedmpHZumIlGgtSUKVbHWPSRARODfigoIEStviSJqZvpAEtbVU9hgfA8PQ433IoNK7bGoiVXZsF2R3c2mwVUVtquw8ryqcHyB4tJQ4IcqDNeLGXBUVyWfnzeAR0qOL8+wwFnmVG2mHnm2K9P0KJRXjMOaHsIsM4zVcvSS4LG001ZzZ4oCq2ScCWtf5otSSrlsT3MCibuiE4Or6OqsfhlVmnwRUpsqTOjiGvkcmTzVbYKolw6BxwWcjpDgwbE6L3DzHgvgQSdHhI6Q4AtltVQK9tqAsAokUhlAvkbYh9BuiVFTNPsI0+BizrCt6uq7NYFdqQpJEP5absSgGS57gBghdfiDVc4So8GOHUgapG5KqiQTisCb6jhRaEBJZ7aGlIm7PWV9/kytCUiHMHK0tVT1DppSj+WIkYrGLJxilCcnjxxY/ONqupx+flyKFRyuDrg5oZnvsLeZsrk/pVhekkHNK/dhnKb8fEUoTkiP0G1IKpdIA0gSMXaDqI2KMDO0laWipZhLbLAipxo8GCERhSdWC61Hj/DonTPQbuvU5UoocZRgjSopMWMmKer4HaLQGLzIrvdq2kBJ2eQ/XZUVPjIBuMLKiax2mSLCsnSNUvnmPbqRvN7nNRSTq+YzWJXToWCz30eYupIjvVgz9NcFJhmEkjGu2w4aQPGFcQ+xBCFabc6pqga7n2P4Qqww1CWPzwiVqS2N0jqlMoIpJjrIV0VicC+iYzQ8T0HcbZIpoLVjMl8zJJIovChQtDVV9kAmMpLB+Q3cq+fD7P2amEpvX7/jy88857TyPn97ll89PMXVNQmJsha8cAVhqxcZe8OKbl3TJ8be//IwH9w54uD/wzdcvaO7e4x/e2+PDP//3Odi7R7M/IvySg/0ljz79GKstRM/F6SWk54xdx8/+4ufcUYK/+rtfs/f+MX/2j/+Uv/jZTzG959/+6hXzvSV35MjnVyuaZpZdiOcNXliaaoFOMI4dqtE8eO8pUglmboHRFXNjMG8+y5Ge+/epqwOkyBUEF8f8cCtVpHHsUAZOmpoUHN99/x7390dO9pbEsWNEUGmDDJ7Qt4TgOH39hpdv3+FlQB9bfvb+d5A+8faX39AYwxrHp58+5uHJCc3JU46XC2QI9G3HsN0yRMf2dMXXz1/xbtNyRwr2Z3ssDo+ZVTNwgRjGfCzVDEKi3VwxDCt87HO1MAQuz864vDjnOnbc//gBd4/vsVAzusstshJ8+oOnHNd7jN2AlAY/DnSbLdt1y+f/7iX/6he/+EOPzz9uf8/b0G1zi984gFQ0swW2mSN0jhMrkClvZaEspopfSjs5s99uihQ794pLY9GmwtY1Qsrcf9nftAOk8vwTJWprqurvKpFFru2DJ45+B4SmqqWUNz3zpeyLraoCdvWt6jdM+e67AmrZ/8kFf+c38DsQfwL3MPEdBYDGXHlN5Gq9SDJ7EJOBbNVU1HVT0mx+5/OmTPACpqZ/n6r6uZB9k0/ufSZMvHNFtlwI8ZgjeCnmWqRSsZcCXdXU8znK6JIOcGNueNP37Hdy+h2I3AElbu33jVQfKO0JMUf1+QyyU7x1Tne96PmAxc5NX+a1iFQgivRcKqQySGl2pncIuRvnaeDSzZ7slBXZpC8XkLLr403bxFTpv0lCuCF1UkpENzIOQwHKonxnVnyInele+d7ymVIpdJWVkUrnKLGx72ivryDF4icgUdqg6xppTC6ypGI+54ZcWfWO4MacUDSdT7KaS3zLuK7sxHT002nIfQg7oJqJ80iKI4GJHEm7a3RndShLekKJu0PIAupzck6eA1Os4o0PxzR+09yarikmhYMgmw0KUUzwJlNBjaxzZGcMftd/HXz2/kjFqT96V/5kY8vOaNrtEl01aGszIWNzhTb7MqhvzVGhJErka2/6/e2YyZuZfONNAPm05xhRUS6fVNouHXMd+P4HdzheJr56ecpXX73EmBzrG4NnubfMip8YsEYRrcGUa+307JIvzt7C2HE4r/jh9z9hGB3omh/95Kf86Ec/5PjOCaMbsUYzm8+wtsoGo0pTW8v+Yo5QiuVySYiRZ89fMDrHX/7jP+XnP/0hxMhmtS4k55jbHaTK8z+moq4pipyiaplMTBXZFFCTSTGlNNLWCGXytZn7JnYEiTSS5UyyrBRp7GHsebSn+P6jBcdzBSIVjxJV5P6OEAJXV9e8fvUCN4zsLecsl4tcrD2/wDuHsRX3793l5O49ZvODrEbQNmPB4HHjwOnb13z+68/o25a9w5NcjJSKlBQpOoJ3JK0yrkUS3JiVuDEwrK9YX51z8fYV7WaFtTMeP/2YveM7VE3NOHS8efuCJ+894tHDeztl1jgObK4uOXv7hpfPv+H51y/4fdsfBPr90COHEUJ2AbdKZ6DlPEJqNKCURRWzCaGyO6cRkqb0p/XjFhdbYnGnvHfnKXpxhFGC0Xlc8JyvW8ZNj4zFfMIH5JRdm7JbopASqQ3GzjhYHJEQaCkxdU0/dETvCTIVM7MMhLUyaG2YNWVBIA1du8H7LaMUzGxNjJo+DPTDQBgcQgoqrbJ5REpctBusNkzxL5OhS+szQJrN91k0M5TOsnmrJQHJ4PNr2801pEDvRtxqA7N9ZoBtDLqe4fpc9ZclD34ce3wYEUSquiElhXOOru8LCBkJ0d9kBpOVF1nq0qKlwMwOkUJxcvwQnyJj12WZmlHUtsbFzHSl3pGkyDcmmdUZwlqCG+m2F4ztVZZgC5BmhvcUJtYQVP7evhsQ/YCV2d009FdEnyPkZBQ51mV6mKXSj5emB0KR28VyY1NZrh/GlthdIlDY2RE+GVy7RohczZEpy95ScDtjvMmtVJQcWRUSKQ74bFtKv71CkFD1PkrPsNUCVxYwploSlCXFGVEohFBZUWE0mCOsrqlnC5SqUMhsvBQGhm6Vz3kzQ9U1lalBgB9qnNrQ9mvGmPuZcT1JW/r+mnEjuXoTMlcsJURJ9B3Bb/PNPSpQpSdUz9B2DyE1xIHos1LEl0xWZSpMM6PfXuLHDbpa4INAmxopKlKyuGARymDrgNJH+DBiVZbcjc6TCES7YH5wBy0l227M/+YH2u010RXzKB8Q9Cgh0HYvV7PGNYtmhtAGRcINHSFdo4RkM7S7hU1CMDu8z3JxjBKRumoI0WOtRTT3COkO3jlc8DRVTWNqLq4uWXctUuaMYoTCKJsf9qFj6Na0vqeJC6ytiT7iQo1IiaHbIMp1NKtz/20138uJFVJhtcFUBjd0QMpxPVLjnMeSPSHenb3jMg5YpZFmxrxSHBiFjQOr03NevXiF32v4J3/2A85++5x+hOXBAZUxLJczFk3N5dkpl+dneCK2qVivB6SUvP7mJc+PFZ/+yQ952DS83Qzcf/iIo2rG4/s5ZeDdqxdcvHyGNobZfI+3z95w5/5dfv2//IJP/uQTrAw8enjIx3/yc/69n/8Uue14/tU3/OY0R3pKNqw2a8xyD2sMV13gdPsMjKFpZhAFgZzYUNeW/eU+jW1YiMC6vYL5DNUcIDCQQpE7ynyP1Zq5rjjYn/Pn37mHHXouLy9ZzOHw+ADtR7ZJkKoDUpL02y3D5opxdLw6PcXNIu89fcLd+T54WF9d8/VvX3DRtdz96IDvffIBR3ceUDcLVEy4fqAderrVmvPzK168OqW5M+dHP3zK/sn7fPD+DxlWK66+ec7QrqCWNLMlYfT02w1pXDGMPX7suHp3yvnlJaMYOX54yKeHjznYO6TWC4bLK7ZXKzZDz8OP7lBhSVEwdh3rqxUvX5xzfr3irNvQu+EPPT7/uP09b5PUXlhy61Dpq5dFRi0QO6+8XT92AXGJVOTaCTeOu8W6thVVM8M2M7S1ua85UWTGmUBIKcvamT7rFqLWZeEqVHHZFoJE7uUexwHvfJEG577pyYFdKFXWS6WSnhKRRHQZhE77XVDgt4AJMt2SN3NznMBkAKhkdjPPzs4pt++FSCCQQgYZUubvj7lUDbDrS8/7fWMuxiTpz19SiOe0q6ROGeExTHSLKE7mCqF0ITEyONyZZhGZYvNI5Od5MUq8kWvfZKoHSkTZZJ53a27s2rhLpT7FUFINMlGQwdokcQ8luu6mP16QK6Q3FV5JkgaURuj8/CRCUiBkKhL4UAD/t4mZgvJL7NdNfjppilUrMXxFij0Z6E0Eym2qR5aPmqq/QslSOb5lBFcq+1kJAdpaTF1jbFalubHPxxtCjvn1nugTwTmcG3exdzH6Xewa3hUiLKsWZJG8azklB7BTYjBV8adJiLh1TLqoEPSO+JpaNQRikjvsJrAoQF9rnVMYCigMKRFFlrnHG+EJN9L2Et33u3IKigeDz74eCFBS5c9WaafQsZXFWI1WEtJ+lqJ7B8TiWxF3SpgYbxkBlnaSTE7lgpYPw815nK7ZlDUOUoCWk3m1whhdiIdiypdut8zk73LhlvJjqu2nhAwDd44Vy9pwevaOV6/eYozl7v17vDm7JgrJ0clJBs5IjFZ4rRAiK7C987jR0W9arJbUiz3uHx1ibMVi74A79+5jqoo6uJ0ax3tPJNC6ll//+jd88+IlVV3RNDVVZVnMKj788Hv89Mc/wGhBu+lzDK8fiUntiJQ4BkTUKLNBhuw7MilklM5RhloKrArIoSV4j9CmXG+ZCpGiXEMFCxkF9/crPjiZ8/9l779+LcvyPD/ss9x2x10XPtJXZdmudjXd7GELpDQUZ0BSAiQQEvSgv0DvetB/JQkgCIgSBBFgcxrDtmUzs9JEZETcuP647ZbTw1r73Kghpx4GDT7VLmTdcPeec7Zd3+/vaypmVHjO5ppFJRAkNdVETtrRst9tub29Y7fb0dQVTx8/pioLhBRsd1u2+z0uOE6PHvDJp9+hmS8TISoE1g70fcdmfcft9TXbzYaT0wccf/eMk4dPqZsFWhcgYOiSfVmKBu8s1jpsv2PY3dFvb2jvrml3a4SQPH7+Iauzx1TNIt1jg2W3vuPbFy/49Ac/xlQ1wTls33F3dcHl61fYMQ3Cbrft//jkz9vvBPrLB89w7YZCRHRRM2/mbK3F7Vq0AlUuKE1JWdQ4H5KkNzps8EgfUWUJtkfrEl2tUPWczo6E9WViDTPBW5ia1eoEFxwuOGL0SSLVdxAcRmh0kVLfbbvFdV0CCcqkKjVTUTdLBB2UBfuuTVLysqApK+rZkjEIhmHACfDSUOoUEqFMyazSSLWnUylYbTdapB1pqhllM09hgX2L0jVaamIEU0a01MnPLVN3++gie9ul+j6pCVGgIngXmVdzdFVTFg1936PHESkVF3eXdDcvkEKBLjDFDB9AK4kbxxQ6lplIXRRU9QyBT5N+EtOcZIY9WkJVNvgQUg2fLhi7PUUV0ZDbCQSLZga+YL2+xu1v8T5N2qUq0CrgkBRVQ1U0aKNTiMY44r0jBEE/7BB2jxSCwhQ429Ht1wjviMEilaaZ1UhZMTqPEqkOJ3ibb9IJMEQByAKkyfJKEGhkOceYJk2Gxx2uuyJKBarMUnmBqVcUQuNCImAUIoFM72HY4cecc2AaUBo5SXm8wKtAN7QQAkVZURYlRhyDLhjcvaTPmLSYLJWmFOCjxAFD30JQqOYYpGbRNAQEVaHZrW9o9zvKuqLRx3RDhx/2FJVOUxXSgkXrmqZeJEAuC8Zhz2iHJF+TFUiNJBK9zcyhxdk94/4KqUHqBjAEmWwh5fJRSgx1lojEeoXQGqxjHLuDj07GiAgW62MCvMUcqSqEEGzbASEiIjrGdscwpusseofP+03qGb0P0PcUpcGHdONSIp3vIXiKcoZW6RyyTiTFhQ+Mg+WmfYEMAzE6pDHU9ZxCgqlmSLXAD1t23Y69KPBCc7w6odIaO3aM44DtN1RlhSoLKjGn8xV1WVKXFTEvpHddj2WEmBJUrzcXKUujrFmtTjGqoNAFi7pAKMkQFGOXGkVKKRisZ7QO3czx1rDrW6zdsRvgyVIRuy3Xb1/TG8Ef/+EfYi/vePH6Gl/N+eC952hjkqSwHxjyf90u3ZOkhPXtDY+fLPjpn3zKGYaXry7RH/0A5aFvW/Ztx9mDE84ePWGzvuPu9po3by75q//f3/DsDz/ly9ev+S//z/8Fv/qr/54/+cu/4I++/33c3Zrz1+ecb1p6Z/HDlm7e8x/+R3/OF7/4DbdRsHz0HCUWiTApikOwkxCpZ7rd7gmVR4w7QhiQ+hgbBMSUiu2dZ/AOQUC6kUUj+d7pKezWFJXhyXFDWQuUNIz9jt2mRagl3u8Zdhvurt5gFZx98oRnjx9RRINre9rdlq5tefnmkp3w/Is/+xEPz55hyiUqeDa3d+z3a+7WW+7utrTe8vCHj/jhJ98ndtCpknq+YFkvGHYbLvZbxqGjbbcYWcPYg99huz3rzQ23uzvCXPDowUPef/4Btaiw/YAbe8bBcvHylvPNJc/FKWPbMYwj519dcN1vGVXgwadPeW5L/vqvfva7Hp+/3/6Jt8Xq+CApzoO9HIQmDwnryPuE/WmqOEnSYwgURUlZVff+bkBkgm+0KZgsxkBRlhlIx3ek6Pfed+9ycJnzGZjFCZPnKa/E+3hPEJAWsEWRlQMqqYom8mECKPckQgYHebBw2OL026km9l0vvEArjTEaQWoMiR6EDAifyQIkOi+mtdE5i8Azjskv7kZ3mHQRYvbXTyFy8vB674LNQ5UoHEBN8s3efxbxzvGYQF0ISU4+DgN22DPud9ihJ8SYZPrGHELsVJ46T8efvO/SPvL31YWTCiO9MEiBICXdh/z8++2u+jBRQpDJnUQeZam3Nkhl7r3j8R1/eX4JhHznEKUJ44FcYso1EAdi5zDBl/l8lSknQh6k7SoHE+b6t0i2hqSfMVk8DiGFMd5P3KeJfbaABpdaoEyRqiJDaNJQLPiDqiBm4kWJVAMZSU0sh3wF9Q5YDR43DvhxSBPJ7PVnAr/ThD9JYBJhQs4FmK6U+9OdQ2/6O4ROUosInA+ILMP3IUyFSYkQ85GIRziXr/l7z7+QU+2gOFhq4kROhdyWMeZMgvxDpUg1xNoYTJGCK7VROSk/ZQdIkabIclJq5OR+qaZKw/uavOmekRQxLllHfPoegUNJgdaKojBUZUlVVhRFgc6e/4nm8d7hose61E4hsqIiIpB+pMBydXlBu76irioePH6KMDWbr98gVcHp6YOsKkqh6QKZpsF9stdO12Qzm1HPZknRZEfarsW6VEXr7AgElEwNFlpr9vuW12/ecLfZUmWJu9aCH//4h/zJn/wxWkXcuKfdb1nf3TJ2e6p5QV2mQNBoZojZClFWYAw6t2sIiiRcEakBzfie0KX7k5aG4AJejmkgJ0Vq71KSUkkaDWeNZKU9lfDMjWJRa4SMtNuWze01Rydn6KKia/es726x1vLo0UOOjo7QSiEIjONI3/VcXKYMno+/+yGPnz5BGwME2v2Wu9sbbq4u6NqWsmx478Pv8ODJe4n4VYaqqjEmhbzbfodAMJ/PicEztC3t+pp+d0O/W+OcY378gPnqmHq+TGoBAdGNjH3L+flbtruOqq7Ztzu2mzU3l29pt3dorXj8/DH1akz3oX/H9juB/tniFHH0EB0j/bAnBo8OkWZeY0yNk5qut1i3RZAYvPmsRimFGzq0NCzPnuNw2K5LqZ7OMviRWJY4n/z7pSmT91cZWjswtOt00y8NrhvYb+8Yrl4TnEWZAmFScnoIaapf1XNK22GKhuXyjCePG8jhgD54+nHEjj2FSKEqmCrVgYWWMThUhEaXzJYLlH6ENAUiJga+d55uaKmqGUqmh6jUmiAki6Kg0oYoUoL4zKeF8L694/bmGsYk41BqwWp5hNSGfdthvWU79oTNLdKPzOanaJVuEjbArDIo0yBMxa7d0G0uOTs6RjbHECXODhzPGnoSuGnHHbg9ApWk6RLCMKKY0RiFVCkAQhcGHxXr9RVju6bbr/Gug5DqsRyB2/UdUkTqqqAyBe8tj7jYrtl2I6MPKJEY+nK2QkTLOI4QAmW9wg07iEnagza4CFFYxn6HlAbTHCGqI1TREH0ElWoZBTKFChYVxFQTIaNDqAKKGqM1qqrSEyn707QQ4JNFxFnLOOyJuk4PHiOQqkLqAq0bZK65k0IilEhhkSLVAZrs4Wqahv3gsNtbvI853FARfaQd9nQxsfgSMFoj9Azvk4RmGH3KSbh9w25zRfCeMTQp9EOuaCkRMUmAKgJKaFyWM3ovGF2PQKKkJriB0W8hOPAO53q864nBHh6eMWqiKNKDIIAIGoJAFit0QZKmRwUSpFAIb5PfX5kksRwszo3JIhM0LmQSJFhSIHKa3iILlCnTA9YHHAYlkkzejnvGdpfYUdsjZGC2OkMWs9R2ETSD9SlvwA34GPHBIWJ6WDnnkXhu4xtwffI7SUN0I/OTJ8xWZ9TVDNt2dNbjsv0lCsAONGaGKiSzWDAGz932FpUnON5ZYnAUpaFZnhA5TenDEmK0DM7RO8du2GG04cHqmJPTU2yAUktmTZ5OiZQt4tzAYANCBCqpCEOLU54/+P4PEDvLt68u+NXVgJovODlecXpyzLDdst1tCQj2XZ8sCXhOz07Z7XY8e3hM3I28uLnlb375JX/63T/li1/9hsdPH7C9uuL81UvOHj3ieLng8aOn9E1LLwJ/948/g7rkZ//D33G9a/lJ0/D266/Y7HbMHjzke2eP+PLn/y3dcEt9dErcj8xnDftB0JEqTGdVgyPJQhEFQgi8gaYqGbsddvsWET02SOxuw64dMKVJSfwIqnpGXVYcN4LNmzfYWhKPlpyuSqoQ6N9ecPnNS3ZNwdnimNYlb7stFM+/8yHLYk6tCob9Drvfsr++5uryjvP1LY+enfGD73+IETV+jNytL7m7ueJuu2Y3DlRnC37w3secrR4iB1hv96jjBfvthuX8iHK2QISALBvee+879Dc72qFlffsW67bsQ8/jT59ztjrD9QOlKBBR4jtL33cMu47bzRpRBOgHru423LVbNmPL6cenPHv0jEVxxpvPb/idxbW/3/7Jt7Jqsns4gcS0gL6XQCcwOvm+303inuTZaeJbFEVWGd3XzzmXQtp0USCrmqnneqry8znrwQ4jbhwPICE6B94fJtbaaIq6wlQNVQ5fKoqCqijSwi8GhtHS9wPDMGRfMSQ1WprEK5P8yZMfPQE/kbzmzqc8gUxeTCoHZdIEVGuFEgJvPcNokU7igj8A3SlV35iU/eLDOx3rk8SeKY3cJ0WWDOm+m+XDCJGajnRBzMGD4V70fyBcJ4n9FEh378XOPyODX6lyqrnW+DH3vts8lc8+Vm2SOlPkPvosSchyc0hETjwAzTiB/JjANFHm6Xia/jFN8Umvq4tkqVRF8sMLqe793HlyLnIH2mF+L+7DEiMxPSMn60ImS0IIRNK6QWSAn8gTlTIK3iEVkjddHQK8Ysh2An+fKRAjqUbYhXu0nGuDD5kDMRCtY+xb3DggiKgcPKa0SZL9tMuIIlteDqRSklIfMgVcBvZ2TEqAkJQB5Od4Zncmhis3BkzHyaRJfrY5pF0mDt8n8nmWT5uDGiddkzaHMua/zoTeNNEW+VjGmD5/PgXulRE5LyOZQyNxakeIIR2fvsW2bfJyh8CULSAE6ZwsSkxRYgqDKUt0kZTLKuckINI9SAh5yNdQE/ElUqMAed9OdZ9SRlBkEiXlSgzDmGXYlrIsaaqKsjSUhaGqCpRM9y/vAqNLSpRU+evQoyOGnn3bU9cNs+WCsqr59vyGb799Q9XMWB0d3V97ISlih75n7FuCtyglqauKxWKJtY679VtG61gdn7A4OmYWa7wbEZF0b9Gaomzohx6ExLmQJtTOsV5v+eCDDxFExqHHjj1X1ze8OX/DdtszW6x4/PCEIWpaOSM2x4h6hTRJhZuECikHwodA9A4C2HFkHC2yBOdGxiCwURzyKkqjMaUmBmjbwE3sWepAMTP0UtPt17z48gsInrKqEEMavlRVxfHpKc18gdYKfMBbx9D33N1csbm9YT6v+c53PqKsSmIMbLctl5cX3FzfoKTg5PQBZ4+esjp+iNQFu+2GxXLFrGnesXwHCqNZzGdJqt9u6HZ3BGcpmobV2SPKepauUSlS40dwODuy2245P3+LVIrb22vOz99we3uN0YrHjx6xOFqitGKwd1lt/j+9/U6gL4l0diB0XT4QGlFo+n7PMOxQRYUMAmMMs7KhrGf0XZu8FhQ4H2nHFufSzabUhrJp0ESGsaMMEWlKvI+0Q6q+C96CiOjZMk2RoyLKPbXRzJol9fyIWFS4EFFBUOiCqqqRSufJomRrxxyOlqqgvJt6Tz2EIYW5aI2uGpwdmZkCCo1QgqHfwa4jIiEKhIicFgXzZkmo5jgfUFLTjiPD0LNbrzFGM1pPu7tl3+7wMWBDxPc79ptLpDJc6hTCN1iLIqkKkAYvVA6h2GbpmGKndUpzDMlDTYSbtqeOt4zdluA9/W6GKGcIXVCagnLxkCglw9BRaonSBSNgux7yFM4R6Pski6+NpDo+YnQ1rt/hPAhjULpk7Ldstne00XKzv0GpBhENGkvEUUSJUjXt0GOHjhAspjDIYpbq2ISiH1KNnJc1sdBJdu8DcugIIVKaGiUVUlfJC60VTZ2C+lxZpjATpZGmwIaUTlkZTWs9XbfHO4cpytwrPxCCJRIS++4jXowEP2J9jwiTRKtA6AqhCqRSFFJhFNjultubr5NkqVrhaLC2Q/mA9WOWTiV/n9KKENKDpiiaVJ/hLeuhpe8sQlTouqRqlnihUEowX1Z0/T5lTNiAFSOmSITYMIyEKJAiEIh4PEFGEDrj+gphRnAOERIYT5MJEKbBqBqpSmIYUdIghcQhAZ+S9JEgNWVR44NHCEVZLxPj730KjMwhg0KCERphKkJMJIyRiVAjjAiR5WR2C77DC40paoQuktpBH1GVc6TznKwatCkZ9hv6cY8ThnHsCW7AO4fKfsXRjnhts2+wgOjYtjva3V1alAgo6xnzxQk6xpSsryWBhlkzJ3qYaYPRmt1uSz90iOCRQRBVZCS1EnjrcLZlVtbM5qcpCFMEtCxprWW4u6MympCn7kO/xhQzmqJKMjtpcMFz9vgDyvI3PHv8KXLwvP72nF98+ZrbXlNWNZVWKcnYpUXS2LXJW+4cVVPlmsOSL7+84P9xuwfrON/3vH9xSXdxw5dff83D+YyX33xFQKKNYblc0m063tze0QZLEPCLb97ihacbO04fPubD58+hHfniX/8tV7/8e25Fx+XJj/nDDz7izbdXeH1ENwwIn5RCk7RSKUVEoKQkeE8pQNgdHodUBZvdHl1WqVtbSKROac/b3Za+F9yIyOz6jpurt/z0B8+IdzfcXr7h6voK9clHHI2Wu6trzFHNe88+4WxxDKNl3G0Y2h1tu6dzlsurkcv9wOPnZ5w1DSFq2tsNl+dvOL95S7GqefjxEz58/jFGFGgv2G639Eg+fv8TFuXy3jfqQwpHEproHV27wboRKs37Tz/AqIJKl9AYog2MtsWOPbvthtu3W7769jX+uOf8VcHd7Z7qpOG9T095dPqMWXHC2I70mw37dve7Hp+/3/6JNx9SKnggq64R7wwxsod1mhjmYedB004GM7zTPx6Tn9lkMD398buS6BQop5DS54othTMmgScpMSYB+CJPqoqiRGl5ALhTB7sbLdvtDe1uxziMpOnxNDHNgA9xkEXHkAJ5bZ5oTv3rUspc/5WAvTLJOhAhBQuOls4mmaodLTb75X3wCeTnqrjUEJBChokJCHkfDh3jcZLhh5Dl0eRpciLAVSjTZ9AphX4iJe474rPE9rfsBZl0gXt5vU0+cG8tMYR0PKRK+1Cbgzw/hmS5EMIegDeHyak/qCPCNGGGe+Q4nSFhArMJeGldYMoaU1Up7C5bKg7wUtx/lSJN+5XUh2Mh1D2hFEMgOJ/qdochPV/HkWAzIUQK80N48AEpAtK7LNkeOdTEHUBqCqcTk1TisM9iDgN+N0hQMM2AJ8AZZA4TnMLz5G/P0NOvyORXyAF2U2r/tN4J2W6QQs4wJhENE6ngJ5tFAvlCmXcUEDpnHOj7cyArB+Sk/sjqDJFVGWQiKoaAiOn1J1IgTq9BAtETTQPvePHz9SPeIZQmSfyBXJref1PjF8uDEiIcagaTgjF4R7+39Pt0nQuVq/VMiamqhGOMSTaZXL0nMwEAIrUUSdL3Bo2O92SjxCMITBYOKTMJJQWDHVOKeksKS5T3BNlk3Yn5vK6M4mhRc3ZaMSslLkpen1/ys59/ydXNmo+++ynNbHbwxIecJ7bfbbBDDgpXEqklb8/fcnN1Rdu3PH72jB+fPuLyZs2vPv8NV2/P8S5VOJdlwfHpKW/eXvHFVy/ph5G2F1xcXrKYN3hv6fs9hJH9bs/Lb19xeXXFOFj65RFnT5ZUVcHt3tNuOxhSOOp0rSVlRSY4RaBw6b6gsmUlxIh3ltGT1CIiBUXvO7jDc4PlUjkelIF2rqiVZ317TXCWp++9T4iSsR/RumC2XFJWdVI1ZXXW0PWs13dcX12w229ZHS05OTkhhshms+Xy6pr13S113fDw4SNWqxOqKu1jN/ZYO7I8OqaoqqT+ITL0HXVdUlYldkx+fR9StV7dzKnqBqRiYq2CdziXKvbenr/m4vwNVV1zdXHBvutZLlc8f/99VkfLhD/cSN857nb/bivh7wT6X37zKyDQFDOWy2MKUyJUQVMlJlUIxegdez+y3w4sbU9jarwqUke26xmCg+gplcFJCW4KSksS/+ubC+IwoI1CSo0Wklld0xQVJ/NjHDkcy3s0YMqKKFROLY10Xcvm7jpNjOyAIoAyaFURTIkHmqqiqWuM0vf9mFLjpcIcWGFPO+zYtTtE8NRVnWTyITAS2fYdldQENM527Lsd3eYWpRSh9ax3W4QbUje3KqHdpXyCfoOMAmSJECnpFmMwxZxmVlGpkkEZynpOVTUpU6CqCcowdj1tuwM/UBqFdyN1vcAUNehkOxBCoGLy8di+B9+jfOBYafZ25K5tcVEwdi0OsG4kRI/fbjAhdcMP7Q6ligQAixlaVURdEwaH321RYpdArkrVLhtr8SRgJkWRu0rBhQHvR/w4gEyspTQNUi+QxQxd1FTlDFNUiZlzIz542jYFrhkBqmiSIsR5tNIsFiegS4QPbPuO4B0lEI1hGFts36K1wZRpgp8Yxj5JycKIEimNlxjAGFAFZdmAd+zWr9lvztOEo55RS8UckSYxTQrkKLwFSGmg3iUJlymTdCoK8AO6KJlXc6R8RtftaNsd3ntECKndQSmqqiZ6h5MSEaFUUJQFpSnTv0EQYuoHVoVOU6IYUwuEVAzjQLRDBtwSH2OWTkpkAFXNE0MOlKbKgw2VSISYmy+MztkOWXrqeiBgQ4dQabLkvECrCqVKtNGE4CiMIXhFXdUgRJLou0AQBmkKoh/RJknPBAJrYN1Z5PoSO/RII1it5qhZw2gdo3N0Q/JtleSEW5/uJ27cEKIgCk3vHEIIhraj8zcYoUErCl0gRYkfHevNHQhBXVcs5kdoXeH6jjBs0UZRViuEUVCBLJ5SakP0I0pAUdSp1mVwbPZ79jKF6DVVjadhHCM3txcgIov5HK0Vs7rheLlA2p672zV/9w+/4ovrluu+4Ps//ROqssLa5Fttdy1vLy7Ydx3b9Rar0p8NXcveOm5ut/zFn/2Av3z+lJ/++Ef8v//rv+Jff37B3cXfIrrbtAgxmroscUPk4uaGKBWP3jvjj//iDzlZLvnRd76PHAbuvn3Fi6/e8Mt/+EcezCXe1bDZ0o4jD58+4JuXA2u/J6gRpQqqqsFZx+3dhnYcmc9LTpqKIxMooyMKRTFfcKxXhCAZnaV3A6WUjH5MVpIRuqpmjA06ONrLN9yev2AfHYv3T3j05DG9DdSnR7z/4fvMpUE4l+45+z277R0UBrsLXF7doJTEIOg2e3ZFT98O3PUDzcMTvvPpx6yqBU0xx3Yjfbtns9sgH7zHanGK8ZLdfkvUChsszeoIEChVJEm2khwfHTGr5miRFv0gcaNNx6RtWV9s+Pu/+SVfXrzgSGhuhpIHz0/48KNPWBQrvJO4MTAOI+vbLev99nc9Pn+//RNvzrr7wL1pyvruIn8C6MTcjT4B9vwDcur1JDeeZLbTNHsKiDr4jvPPl3kCqyuT5K05hC0tvNUhld35wLBrGYeese/uJdITcI4glaaqG8q6oihMTj/PKoQsE44h4sLk7R4PFWxSSYoySf+Lsjw8J/f7PV3b0fcd3rosiZ9C8dLCMuSMgJCT55XWCKOT51unbmyhNEVZYubmMPmdZOSQkrGtT4F7IXkeDpNmAilXZtpnIu+/yWYR7jvqQ34f4zhguz1jm57jYRyS9FxrTFmiyipl/EzfnxPmD37lDHInufaUB3SQtKcB7r28PKb3rLShrGqKskab1MXtfcDZZP0LLqf+50msUMm+oHPdXTQGqSUiK3relWqnKS+YskBqdehSPygmsq1ATCg7BBCB6O9VEdOQXCqD0gVS5NpFASnNTQHqQEql2r90Dk0NDgDON/fd4sFnFUpSaYR3/NBGqbTf5P3EPQth7sFxvo4Ov87WB7JsP/35u3V8efIu8hR+ktLna/eg8I8kNaFP78vn8DtiagoQB5HGOzkG/3YF32QNEVPQ3qQa4f78mP7tQYFxr9iJWRHhchvCFELox1T1Fmz6s7HvGfsedptESJniEMKny6QAuK+fJJ+A081HvEMYxYMfX4qU62G0yjlE6Xucs4z9kIUrIt0npDooSqS3oEeWTcnxIiW7v/zmnL/7x8/YtI66aXj86OGhEm4YBna7Lbc31+w2G5wdkiXTOYZ+4GafrJHzxYz3P/oOTz74mLcXF/z9zz/j+uoyZ5dElBAslzPWuzZVD8rU2vTB+895/70nPH36CClht2v5/Ddf8sWXX+XGizE3rQmqwhC3FutSH73UqYPe2RRkqrSkMIpSgyTZQ5QyQBpGhJjJDjFVJKYWBkuuLzcKYyQIj3MjVVOxXD1mcfoQqUvqUmDK1AyFFOl+6ZLKY7/dcHtzzfX1NevNnnKWGsq6vqNrO7p2z2q54vHj5yxXRxiTjnkIjv1uS13PWa1OE/maMzq6vudoOU9YUbp0zRUVZVlSVvWh3SPEkLIzvGfoOt6+OefnP/sF52/ecvbgjMVqxcnJA9774H2WqyOUkng34qPg8uaGu39fj/57zz9M0psIQZAlBSPRe4ypKXTNUZWCuCIgVLpggre4dp9ARWbttt02gWyRgI6QqZ/9bHWWPqQkyZWJdD6y2a4JwzlGaer5gqJsiFHkGr+RGAKjG+nGHhs8Qeksl1HowqDLilJX1FUCgDJG2nbD9vocnKOpZqhqgVUKYyq6rudoNuPBkyeMwWL9SK1T8Fcgoo1hN1pEGOidZdvu00197BIrM1tgmOF8YLu5BQKmOcXUS5pqhqkWuAiFlqyaOaKcJWmzd6wkVEWSrzg34ruWfndL121zmJ+jkwpVVChd4/fb5AsSCuctMfRp0uAc1g1c9D1fE5C6pJgvUaokCGjqBqWWXFy8ZLh7xeBHEInB9mHExjvE0CGEgeiS9MpUBFWDKnAi1REWsiCiM6OdH1oiIsc93nYISmRmyGVRUQiTjrGIjP2GbnfB2O3yPS0QXWKiRjdQaEM5O2N5+hRhGkbnGYce4T0xjNhuh4gen7srBQIXAlpA0zSs6iVmdUZQhm63oywUQaRqvrS/kjTR+oCpjllVK6rM0Kuqxo8OP7QcHZ0ii3mqAlvfUlVzXHDJ96tE8p9bQUCnkMpxoHU7cCNNqdPUxjm8H7FDwFQ1uqioyiWFqYhCYt2IdS1SKjwBjUD6gA5jlvxJmrpMIZQEeu+RxlCUDSiT5F/5YRu8w48tQipKrREE2m6PEBofI0rXGARGSUKI6FITlEZLQ4HEun2Wc2ZVxzAgg8dUS2TVUAgJYkDisA5iUVA1DSJENl1EioiwLTIMzMoCh6CXAlnN0Uow2kBRV8hCUSqTbpAIxqHDqQEzX6AQ3N0pYlimypGYmja0UDjX0Y0tsXWM9YLOJvVLUZR4F7GbluvLc5ToCVFgrcf5VDGojMEUM4JQxO6GYFu0lixXRxwdP6Ys5xyfHKGlIfq0oDZVeqh21LT9lhBSGKYiPezWl7d8/psX6Men/Mcfvsf/87/7gj/+4Scs6xLbtuxub2i7PfvNjjcvvuWbizccHS25u1mz33coLXj48BhjIs+fPeazv/t7vtpZtvNH7C4uMRhmR3P+6A9/SOkdP/v7z9nNKkIULJoCd7tmYy2f/c3fcPf2ms+/+IqbUSB2Gz4uDbJtcbpgvpjx9tUdfnZMVT1J643ok+VDa47PTqjaDZvtmtfDlmIG2vWIsmC93XMngCi5Xa8Zg+PswSMW8xWzqiZGWM0aCjnwR0/nlDe/oS0Uj54/4nS5RNYripNjjpYLCiK4Edf3dN2W7b5lvRnohw1ffn3Oly9ecrfbYNYjF69eY8yK3W6gfnDEB8+esKxmmAhjmxZbm9sN667n/aNjbNdnC0xSvbRDy6I6Qel0jzB1wWrxkFrrpISBPMEJ9G3Hfr3jzYu3fPX1K/72V59xp3Z88Eef8N6H7/P89AmL2QlSzPDR07Yju5s933z1is3Y/a7H5++3f+JNaYnMYGJaqN/L87mv6Jq6ujPAOARchSmoLS+qfP5JGRzImFJUmABNRjbe+YNs+tBxrnVa0E/nUwb03o+pIs7ZBFhInta6nlPP55R1g8sNEuPQ5/C6vGAuilQDpk3qPteasiiZ/PcT6aCyZ9o7xzimjBQfQgICRiBDTDJwYzCTJ30iNzJAK6sSU5UHoC/ywlQbkzJGQshJ2Mkf7Yaert0nVdj0v7yGu89NCL9NlOSv97JwDscEUmK1H3rGrsUPPcGOCYgKiRt6pG5Td3z+PjJEm45vkkOr+2BDKTPZ8G4Nm08T6ghCqDyVTTLsGKHv+0OPffDuQCaIdEJla4FG6rRPgveIIYPMPCCKmciZrAoq73upNXVVJQWASiDuYDsQAiWSTUEKkYIOYzx8TWRGsvPpLOlPoPv+OIZ3CYx8XN3gGfO+D1lNkqbznuiTXz/G3HhgTFKFVEVey4mDamBqUwiZHIsxWT+YwPzBOpEPTfa5H2DtAei/A/olB3UIZMFFTL5xlILo0cEkgJ/VMPcS/awUQeSk/Snv4N3qycMpNr0J7if+k3///vdCiHf2eQKY3pusWPAHcmzafyGmTIeUxB8O9h3nLJ7AaMc8sMnntvc5IyERiCJGVFa8SCmyHSEeQiB1YVgcHXF0dkbV1GnfxJhbO9L57rNyRAGrWlFJyzgIbu7WfP7FVxitePbkhNfnlxA83X5LNwy07Z71ZsvFmzfsNnf07Z5ut2O/27Hfpkq8whhOHjzk2fvv47zn7eUV+94SpWb0I0YbPvjkIx4/fsTnn33Ozd0du+2WqqpYrRbstmu++epLQvD85jdf8/biknEcOD1e4obUdlMUhuVSs7KWGEpiUSNMQYiRvhtSUF+uNhWjRTEinUMqTRTgnMdGsDGHpUoO1h+tC2aV4nihOa4sc9GhYlI+NcsjimaRiLNc7RizEsfbATskD//123PO36bsgX0/EtTI5u4OEDgXWC2PePDgcW6NKtA62TX2uz23N1d88t1HKKWT8iY3h9hxpDAniVBCUhQVvrQoLdN1FdKp6l06v9p9y6tvv+XnP/sZP//FZ1jrePTkGZ9857ucPX5MWSbb7pQ3YYeRz379JV07/jufnb8T6I/jiFA+PYCUwcmAHEdOZw1WKrxt8cNIHJOHKrg0gZQIlqXGy8guWCKCZrbARosSGq1NkjmFgHUOE1ISplAKqQ0lAjk7SV6zGBKQnyxJAqKImLKimc05kwqHSv6VYFHBMysbRFExest+d8Pu6iXbm7d4P6LLOX2/Z6tLTDlDqRT0V9dzNoMm9hdJXaAUeIhInBuRQ+oRj0gKbXhw/CCBJp9qDkLXEu2A1rA6fZbAlko95To6vO8ZhpZapmnWuJHYcWS5OKaqGuaqYB8sl3e3lER8BC8MqqyoFcwWp+wGjx2SzLQoSqKWiBDQqsQ6TxTJN8eswYiIMTUWkYI8rMfZDZUB3A5ZLSHEBOZ1gyhXSSWgi1xnY5FSYFSJ0k1K3CSl90oCtSoxRYUNguAGcFv63TVlodFNgyjmoBui8+k8sT3W2yTJkgZRLNJD2VvK5gEhjQTQSlM2S4LU9Jsb+mGHMjOiUNh+hx3bNHkomrTYiiAJqaPebQjDHmUSKSSkwLqKu+0NMViKssFUc6qyJnrP0G3pdlfsJDTzR8xMSWk0InpuL9+kLAgfWMznKKm4W3fgA327Y7e9pSjmCAS7vmW0Fje2OVBG0o974rhFxJTC2glFUc0p5w9oyhmVUlRSEqLF+4DylhCgt6my0miDNjVD50FZAiJPWFJnZ3d7njyFpkTqkuBduoHpgjEn2daLY3RRAxHb72k3VyA0ukyLD4Y9fbtDxJSeb0eFKufUMi1SnB2J/Q4TRnopUDmUKUaHNga3X+O6W4QfMyjXyKIkkryz0UWq2RxixA4D7foGawd0YZBC4MY+T+gk4KCoWTQr2n6PJFU1Km1Q9ZKinN1PhGKkNgXuHba8261ZLGcUWiBNzRgEJjrC0DFEhxepUqaXgb6N9HbPcPuWgci8WlGPPVW5oGzmaKWIYaQoavTqAcX8BCEFq6LnWbVlf3HBN9++pHi85D/68EP+9r/9R/rB8/VvvubixUsWZYlWir7ruL6+5uWbN1xv17TDiO17qsbw6OyIpjBcb0acqnj89ISHbyx7PyBwUM/4T/7V/4q//IPvcPPtC37zy2/4D/78T3j17Vs+/fgR17fXdK9e8fnPPeMw0FtPoSvKEKGq8W6H23XoumZ2csaiOkPJBTGMED396Gn7jtEOyBgptUrySTcQo0XLGj1bUsoaLQzVYpmYZjfQ9juiKShMQW8tdS3ob68xsee9731MozXSlDhTsJzP0M4ThcONSZbYd5ZXX77mot/TDSPiqOLJo8f88jdf07We682GZ/OGp4+ecbRaUAHBekbv6duerutYX214dbfj2Q9TP7iIknLWIHa7A8AXEaqyYDGbYbRDxtwj7hIA6DYt11fXXJ5fcXF1S2ig1IrV4yP+/C/+A95bPaE2M2RUeBtTYFvX8eqrt/w3f/Wv2Y2/l+7/z7nVZUEQaSEdIgcAeY8hE+gMk7ZfcA8UJol6nKrVpm53ichp3sA9cMkC58NE8Lemc/wW0JTZpz7ZCGIOMiNmKapK1V3jMLDf7thv1/S7bbq/5gjx1Cqkc2J6nSbaxqR7rpIHoCIn7/GkXsi+dFMUqUrNh0MCe1SpRmqabB5C3oRAFzrJk/uWYehToniIlHVNPZsBIgWehYAfR/rdlj4rWKYedqHSJGpCbkoASh7m0lNKvzgcpHiYZN9nDKhc7SeQOoVXSSWTJ7qcspty8J+8z12YVAbT5P3+8OX37FM+E5BD1jRCqEM4mrU2g+B0XqSq5RJybeL0mofQu/x6U61oCBPgc9nnPQFiDu/zPtgvEUNSZoJoSuoXZECfgP5EkkzDfnLFn5Ypx0DkhPepgnBKgJ8W/FMgYZyabjJgFfm9hjF59oMPSCkxzYzZ8TElC1SRslrSdNNlBcL0fkQeTovDZD8RCdNxvc9hEIdgvAxoM9ieAtama/JQEZcbEKKz2TYyBeTdX4z39ZNZkj+RL/9W+wB5feBzlkAC1FNuhzooTg5ESb5OvPeHNi0gN0WoewIvTG0ZBl3qnJivc4XefYjg/f0o5jYokYkMEhnkHMGN2KFPU+6QAvZCVtzYoefm7WuGdsvy9IzFcoUyOp2f2cSipEAbzclC88lZg/Jvefv2jpvbDY/OTnn4+CHfvL7h+vqGb1+8oDQJ0HoE29s7Njc37Dcb9tst7W5Hu+8ojebh2TFCKp4+f0ozq9i1O/b9yOrsAWXbINQtP/rhD/jL/8Vf0rV7vv7qa6SAwhQslytiCHzz8hti8Mlbvu8RUtKUhuPlnG67T+0GRlOZSF3B4EuCMQSVMs6UTC1JMljwPd4POByGiDEFwpREpRBRockKHsIkgsAF6Bysx8BKBRalYlbPqJoGUy9QZY1S5kBohbz/x6Hn8vW3vHrxAmctQqbhYG89jVTs9x11s+D4+IzTkzPq2eSnT7e/Yeg4f/Oa/W6Pj4mAkyQl0hTsp01xuJ6mPA6Ih/DQEFKt+t3NFa++/RbnPWVVg5CcnJ7yRz/9Ux4+eZrWNjESQ7Ka9F3Hi2/f8Ld//yti/PcM4zs+OqM0Ghs849DRDy39OLLbrRMg0+kgjT4weE/0Dq0FpVAM0jC6EetGCqlQKLTQSe4RA1VZ4oe0qPTIVK0HQOqLXyzmlNUcaWpshOgTW2ERuHaLiZHBDdxurnIo24APDq0U3T6x4Ot2y357RaUix8enFIsTNr1FdRsKKfFCpht+sLjdLVLuUKakzAmlo1R01tLuNxRaUhZzAmBVkabg3hKiyyE3ic1WpqRQBWU5oxsHxm7DXXuJba8RwLUHU8+Y1fM0jRw7Qhz59vacTbtDCo0qG7btjqHbEGOg9Zbri9dp7aIEpmgYg0fpgBORYHtsvyN6iySF1lilE1OoaxAGWSZZW0dErz7CiEQSKC0pVIEuZukBDlhnEflrcCMIj8kMZGWqLGna4e0dwnukcGw3a1AFfZSIfqD0IE1MtYP5YdrMTinKGd51lKrANAsCCpsnY855fH7QdXYEXdAUD1JrgynohzkyOkxhaLdbxn5DlDrlGAiB9YH+7i1KRDAzhCgwJqkLvEjJs8GNDMMWH5NHan78hFKbtDDo9mxDoBvSTaYoG2JwdMM+TQOUAWWIuWc3ROj3d8TQIcslsihxts/qlpJYhOTJnp1hqiUigguBfd+zDx1ESSBky0mkKWtkiGz2a6Lv0UpTVEcURQVElKnACQY3oKsZShmcs1S6QmmDQ1EWDT5khlgqyDeEEAKmXhwWAl27pe9b7LhPijbToFVBP3T0Q58WJkB0A6ZqKI2hahpkMUc4wdhvGIaOwQ7pYSVI58TGI2L6T0vD7mokAtYHvO+JrkPGACKFYqJnKFXiXESqASk93rc4u6WuFsQuEva31GUOTAkO72EQpGMrDZ6A63bshz0GT9PM0WXFYnVCMT9FKUMQaaEdVgvqqiaKkn275fr8C9qbC85f/orZ4oznzz+AcpZChcaW0QFK08zmnM4MTXvN61evmD054/sffMjm20ve7h13uzXjcM2f/OSP8Z3ki198xs8/+wKPZNd2/PiPv8/69SWbUvEv/+M/YI7g1ctLPvizf8aPP/2Un/03f8Xb37zgL/7yT/nXN8f0ceSTD55gFDx6/32KouC9sxN++Q+/pN/OeP7+M17c7rlZp+m4mTWMQ88QI7PVEvntFXrW0G027HrL0O3Zji1u6BnCSIiBfhxYtx27fYuPI2fHKzAR70aK2TyNXAbH6Afa0VIWmkJmH7xLKeXbyws25ch3P9a89+whs2aJUhUuQjlbon1g7Pe4EHB9x/r6jl/9/DO2ZuBHf/oHlIPk9vUNX959zjB0BBaszo44Wi14sDhGI5K6iMhut8eOlsvXN7x8c4E8XvD2i18z3LU8ee8TjppjNrc3BBxaFXTrNd5uKE1MQTsuTfdsN7Lf7/nmsxfcDrcsH53w6cefUrjI9nLP6U8f8dGDjyiCQcsCN1j6ocOOA+3dnl//6it++epFUkT9fvufbTNaZ6CfiHDnwjsAHiZgEMlMwAT0D9Pl6d9wPx08aIjJ//5dS8A9wDDGUBQpC0TkgKxp2m2tS/8NQ67UsznV3x1UAVPCO4DOVVZTYF2c+uOz33wceqy19+Fp5p3eaLLe+d/6vPeT0/QnUgiimsLkOEiCxzEpYlyWJ4fo7n3hIkmAvR2JMcn//Thiu46h2+OsTdLnHCCniyT3v5d337cMHKb6uapuUluonFA+hdFRGIq65lBxl/3IqsiBbnlidhgcTzLxGA/gNvpAmJL3Q7ivBQw5FT3LooXUCbRm4kfI+6BDkf3SIqffJ+l3Vgnk8yHGiMod3OmzFveKkWkK7vwBsIY80Z186Pcp9pkAOCgTdCYSBL91/pIC+YaQjvUBSOf9NxFbZOJq4jyETCn3QuXTWuTj0szSdDpGoksT6nbf0XZdDtHLVoQJNx/OtnsgHXNtXH6hAwkiD6SIyvkvUyUgh2vrnZ+Ur9mQLZb3+8w7m66T6Xp99zpEEITIDQUWKfVv1WtCGoK4ccSNqUUlBTr6TKjFTNpxOF+T5z8d/5j3r1Ip+yLfJAAO54SczuGsaBAiZZlN58f0USeLpMjfq7VOgHMxpzCJvAtwUGWkY2K5ffMtm8u37G4uWZ6ecvrwEVXdJGAoJM4H/DDgMFTFAjlqhtGyWs44PjlBmortr18ghODh2THHy5ooFJu25+72lpub66xiSeflfFbxJz/5AafHK168esOTp09QxrC9usUjOTo5xS0XzOdz/vzP/xkfvPeMr776OgFWoK4Ljo/mtPsdd7drvLMIEbN9JF2LMhNDE8niguduveXN5paoCkRREiLYfo/t9kQ3IIPFCI8wElkYKDUBmayfPjDGmIF+wgsSQGj2KhI6ePS4Zn62YDkrUMakxi5dIITONaCeEBy7zZrzb19yc/mW49MHnJwcs29bfvGb19ztLGcPaxaLFU8eP+Xo6IyyLJP6RCRL+f7uhlcvX9DtWxbLIy7fvsEUBcvlEUonnBJDwGid7xEwBdeH4HKTWUe72/H2/BW3t7ecPXzE46fPePLsOVfXN3zw4fs8e/95Wv8ScT61bLix4+b6mv/ur/+W37w8x/77An1rU+fhGHySWsfIrGqwyuJDZAgS6T1KSCpZoYwiRE/bt6kT3Huc7ymaJdZ5iILZbMlseZKq3OzAzHZ0fQ99R1HXWB+QIrId99xubqhNk/y7UqKVxpMA6C4MQKCsFzjnqWJFIAWkhN5C8BwfP+TB2ZMkYQppyliVillRoqSgswNK9aRcjIKoDSL4dIGrdANr6ln28gZiFDRFurlvNjtcsNRKobRAescw7KHb41TJdtgy2EQERKmpFo9QUuD9gIySYbflanOZCIKpazaH6txdbYiuB6UpyiVRlei6RFcziCk4q6hKCl0yRIMd91TLB/i+TzciodJ9UgqKsk4PIzdSKE05X+Cjwo+W4McUwjOOjLsbpNZEUjpo8A5rO/ywwe43+OiIukwPcdenG5qqEcagyxnF7BhislOQFzhu3OKsTFIjXaQ+1xhAaax3VG2bHo5KokiBeaVR1GWNEpJuaInOMg5bfBeoygalDLu+Y3QjytQpLTdEZFVjh5YxBITU6HqWmhkihGFDdDvW+wtCnhwURYPQNX4YGW2ffHCZAddSUZRHqCwpcsOAED2Vjng/oPyAJiJlTbma07uGYC112TCqAikCWhtUXFJWc6z3BCKb2yu6zZvk01w8RNfHSBSySqFPne8J9AiZEj5tjPh+T28dMVpiJLHIiBR8I1JYIRKEMiifHuLBDinBODhEZi4VCmEKRFmkVoRqzolKwTaD6wmW9HC0O6Lvc3OTxme1iHMDdnSsFoJCgrc9iMB8dYJUVVIXKJ1D/iLDaLO/csCNFoHEu55+v2HsWgKeqNIkRyjF6AJhuKHQhmpWU1UzwEAJylRIVWBMlSuEUpCfC4kAlNIjVCSKQDCS277D70fOb27A7ijrkqOThxDSZNgGiR897f6arr8k2p5IZNet+eqrX1Nk2azCs9lssMBydcJ3/+IH7O6+RR0v+P53v8t4dcuL6zu23vNHf/wh//JP32cu99z0jlVd8/kvf81133Hy8BTX9ihd8P7JgucPVoTLNf/mzQV/slry1S9/zavtmg/+9PtIO/KDH/+QbuyYzWpOHz/i83/zS3Sh+Md/+BXfnl8SC8UHH33KX//NL7GF4vGTU5azmmFjuWstm5gWbbt9z+L0FG72RNcgdUQ3NVpIyuxj/FCkh2c7DtQysrr8OU4phKnpg2BwHowgBkEbAzNV0PY9QgiqsmK+avjo6YpPvrvitIzgPK4b6KuaxlTYtqdrW9r9nuuLC9ow8OAPnvKTB6cs9AJ713J52/KLz37D3vY8fv9DPv3uR5ytjihCJPgR70b63nP16orXb9+wwfHJH3/CyeyU8Xrk/Dc/J7iR3fUpYlhj3UBZ1Oxvr3FyTWMUzo6pFlMINpe3nF+95TasefS9R3z03scYV7I5v2F+vOLJ6RlxiDgRGLuOYdgz9I7dXcvf/+sv+P/+D39La3uk+X3q/v+c271EnGSpCyERwxOYnkBSBs+CaTF/D4TlOxJ4kPfTwHdfJ/MCB+AYAkPfobWh0CnZfgo3iyGFzIYQEkjQaWKUpus+/5twv+jXRQZV4p2/4533nROnMwiZQPihMmwC1HAPEHLd3zRpTm8+fZbD95GbCuyQ/LYhFfTKPN3yo8WFwLBbE6zLk8yYgt/8VAEo0jNH5MmikkmdpRMIOQSeZbokTiAqHbwDMEyVZbleMAPlBAQSWErgOQW+udHd2yKcT/5pl0A971gSyNP0KCbwLKb2wfT+CQiZwIGcggInGXlWiQZEqvmNAhEy4RP94fMwfQ64V328E6IXY1qAe2vx74LwkNafhzrAw6Q65olztsyZ5MnXWiN0qqZLO0gcXlK8C1QneXk+BxKOFWk9cADk6bNOU/bIpGIR2befGySm9yXyuTidQgcFxju/nt7HpBSRAqnS2jtVzWWJ/OGKShP6cLhW749ZqnAUVFV1IDKmz5cmrlmdklULTGqGKWcgeoj6oJowxQy9XObQyJwtkQmf4H0KpfRJBTaOPd7mDIPfumdM5990fDKJMYXiHY75QZ6Q3tNEqMDh2knkRXrNcHWT91dEKoEyCpWJMikg2JH+7hrbbnBDR7e+Znd9gamatKYPAdu3dNsdnyuJuv2Yf/VHT3jy5CFGC6yHL198y8XbS549OuP9Z4+oq5J9P3L+5g3n5+d0XUdZFsjCEINnUZe8995Tbu9uscGzODrC+sjl7Zp+dBw3c46OFsTVkuOjJZLAfrthtI4QIstFQ1Uazs8vWG/3eB8ojaSuJdY5vB0Z+gE75PpO51Nw85S3VDfoqk6n+HyWLKAxItxAaG+J+zVGG+pmiZWGbsj3Ax8SupciXyLpmBgheLSs+ODxiuOFRkSLHTpkoVFlvt+HQNvueP3tC7brO5bzOT/+4z9leXSEGwbe/OPP+ObFW/pBYMoZJ6cPWa2OKUyBzPXqbbvj5de/4fL8DWVZ8fT9D5nNV+zbjl///B9Yro54/OQ5dhxz44bCh/vrSEiFDw47Dtxdv+XFN18TEHz48cc8fPwUISTjMPLg0UPe++B5alILjhhFUoOMA7fXN/zy11/wN//wSzbdmCph/x3b7wT6t7eX1IVBmJIgJZqIEA6Fo9GaDknXj4x2h/MW7x24gVk1p6wa5vUSrWuCNPSuRzhLZ3uGmzcoVeBFuvitG4nRI91I7yzO5vRAKei9RYY0ff2tB7q3KVXcBuqyRqiK0bvcKd8iYwQtUyhgsLiQXN0iS9kQhnk9h9kCokBnH7kNDjckMF6aCmkUIgp8SEyUtz02RpT06Jxserdd44Y2s4kDhfAYbejaDdGN+OByKrx4hyadbpgarYo0aWrXEFIip5CKKBXeD8TYoYJC64G2txRlgRMld29vEVEgdU2UBhcFSkikSmC2LCp8PxJJAQ8ujnTdFUGvGG2W0QsJ1qJxRAzODTjbJ4+RkMSooJhzqHzxEWXmyLImPVGSDK0f96jopw8HMaLKNHWO3qGlJgBVXaOEYvQeo0SajiuFFhLrenxn2XWp1WEcWopqQdQlSkhct0cIgY0Bo2Tq1fQxNxF0yb+ZpW7BWbztcG7ILGMAocClAEInyWGCAlPPwKyIwmT/VyS6EUKWWrUbnOvpjMZ5n8gQZYh+D64nkqbke12mKQDJV0XwFEXFYFO+gJc6BUn6EdvdocOQbvy6IESVavRyUFJZnaVk+JhkS1qbZJVwFiJoJfB2pMiBRRNbbYeBwXaI0RFdWghLpYhSI8c+y/jS9ZYsAop5VaZmgSF5ldy4QxDQUuZFVfKbOgTdViUvv24o50cwDMjQYQFTz1EClNCUIqBUhTEGpxX90OOCQDdLXLnCC5UnEZboR7rYImUDssCKGVKXKZlYJild9A5kB96hvcO7DiUEqp4xax4QkcycBXxOfk3XnBCrdM2pGlPPiNJQyoKxH6GZY4ZFUuU4l0ihIOjciNvvKVWkdYGA5O72ks16Qf10zpNHj7G3W7795i3/8Pm37K3iez94gLGOi1df81d//QWfbSJ6NecHP/yET54952//7h8gRmZBc/3qmm9fXXL07AERwaPnT/ns3/ycD3/ymN/88guO3nuPD4+f82B1jO56fvW3P6Ncznnxi6/4v/7f/i9cfPWC//6/+2tcoXhwuqLO13prO6KATee460eMjbx88ZZtOKVqVlQiyQ29HdPCevL6FoFVEyjaNePYpoXmbMXp6jlHPvlinXdYHxjdwLKZUaiUeHuy0PzpRw0nRcTv14x9x/puS/H+x7SbDbvtjrvrKy5uLymPGj766LvMygqDwW5attsNm3Zg3fdUy4of/uQ7nDz8gFLXjHdrRj8ybDvevr7i1d05Zx+c8unzZyzNir4VxMawMCY/CAfazQ2qqSlNTTQ9MUjGvsPZnvX1lnbYcnl5A4vIT/7gR5wsH1LGgt1my931BjNXnMxnaZoZHa63bDdrzl/d8uL8gvJJw3zWoKWknDe/6/H5++2feBuHIeVVZ6DvXJYXB59rjKbgt7SaStLbkIFOAiHG6FzVppDqnWk+HB5dTFPaLE+ewuO6fZuC9WI8SLkTcM0gQE3T2rQuUBkMTen15CnUwUMewuHVRZ4QTqq635piw+H/7xcQZM80xCgJSuKdQ/jk+3YuZwX4ZFeJeYoV8xopNSP5XEUaDmBFcC+3nlBwUgjkiScxJ5Onad3Y98R336OYAtgO2okEZFSud5v862qqXeMgBY+TlDmHd00S7ClX4H5ieq+6mA4bU9p/BmbI+577yRtOBt5pApiA9vT+DkFuB1VEAtIpDD7mySuHSfNBICLu38tBTu9SNVgC96mtJ/3eZ8l4TuIPngSCp8lxIg6UNkiT6v50UaNUkV4nkJUWlmBtns6Tp9TyAJTT53xXpUKenvvD9D9O/2TaP5M1IpM1UopDLZ4UCcSTCY3D/jr8+r5HPr1kRISJErgncqZjOFlnDhP+CJH0d8Gna83ZHIyXawoJ9+ROOKyd02sqnXIttClQRQrIM0WJLApMYe4tGNqg89pUWEfUCmktIVs8RD4GwbsUDBf8ve1C3dsxUu5jVhLkfTGt5ydiJTUpcSCJRN7nIoZUHU2yAwg1/b3HjQoVV2gpsH2LiLm73jtcSLWefujBDfRjYH17w6z5kGVlGLqOzz//kn/45Vf0g+f9Z4/QItC3e168fM2vfvUZ7TBwenrMarng5uqGy36kLgzOObqu5fjkmNl8Rtt17Pcdq8WMR2crZrMa17cUWjL0Pa9ffYu1I1VZ8MlHH1CWmp/97DXrTYspCmazGlNUrHd3uGHE+kA3jHSDY/CRPhqa40c8PG3ykFMRc232VI0qbc94Be3+jhgCVTOnrhcUITL3+RwSAk/EhkiIgkIpnq1K/vi9OY+rkdDfsrt6yThalk8/QZc1wQXO37zi5cuXNLOG7/3gBxwfnyEEOGvZrNd89fULbjZ7TFnwBz/+EY8ePkar1IJlx5HNds03v/mCceh47/lzTs4eprWwMJjyPgBzHEfafbISHp4jGSd7b+n2W96++ZbLizccHZ/w7MOPmS0W6Zrxns1mzXK54PholQZb0RMDdF3L5cVbrq9u0EVJWTdoJXn/6SP+XdvvBPqF7Yi2pR0HNn2LtcOBrZtVTUralirJd/uBQMTZgbHdAZEbVQAqSfClZF7PkXWNQOC8RxUFIGhMiROJJa+qGisVRimCNGkaOnb44A7psz5GjJIURZKPWQJh7BPwV4ZqfpQqRgCFQMsKoQX4kKqXRGKUXUysnvMDve+RpOAcYdKF23U7xJBuDINNXuoYfZY0d4mFEwLZd/j9bermtD19jEiRGNnpIQRJjSBikibJPFmuZguCNIxjhzSppqGsK6LQWO8xSjKrS7b7PQFDMZvh/Ei/Hxj7Li00ogCZPGchRpQpUH5g193hbEAaA8GjokWVM7R2VPUR1nqGdk3wA4O1OD8QhUQXM5DJ0xZcR7QbcCkoMYoU4ibtnnp+BrrCBU/VnKBkYgmVhGAHvBtSErDvqaoZ0TS4bo+WJS54WjqkkLnD0jG06+wRjqmSUTeMzlJIjSdPY8jSJd8yhgFDQIkyefy9R8eAt/uDhzP4kehaQu6GJabuUxE1IVpwlqHfIeUNkIgIaWpMc4ajwgZPNGl/IARK3LvKZVEQqhnBjsjokUYiVZnzIgRROtqxx/sx+ZOaIyQGO+wYxzu8ayGTC1KXCKmRyuSHQn6vMSD8gHU9rt/kmr2RPg5J3ikNCIkPjsIoquqIulwSREnQglIblJYEb7F9h/WJCAvjhuhanAr0m1RBh4+5q3nAj0NeCJE++7RUGgVO6xTYt7ukrOYo3WCjwG42GFNSKDAq0NQNIwJdNuB98l4qA9YR7cA49KANqlgxqxYYkf21aamAtxZrdxgjqEuDGyKqaqjrFS4uQYg0fTcV3lvmVZkqkqTGB4HzDqHSwr6pGgyKtAJxqRamNthxnjt7LdY7nBcIGZF+T7ff4/UK50d02FI0BQ8fLPHdnvNX5/z1zz5nq0uWTclSw9uXr/nFV68Y5or29TlHx0cczxZIVbCsZ1xdnLNVHhZz/pf/4VNu9gPPHz/i5jdfM1SK2hQsTk9ZzWYsZhVldLz68iVv7u748z/7Q7Zv7zhdzIgPjvjnf/oH/N//6/8PSMXiaEVdVHx9u2a2KFFxZN22HCGQzRneLrB9SjTWwiM0aKHwQSQSM0+F/PYchEUXDaY+IZg61VwRUXZAycBstkiLFSFAwcMTwYMi4G8u2Vyfc/nmLTdC8dGj99nYNevba3au48GHz1gu5jxYPSB0PV3X0243XF2s+fzFOTtv+YOffspPf/IT5uUp465jt1lzt99xd7OGpebP//TPWRZzohP0O0txcspJecL127csHzzi5PiEr68uQFfUzYzx7gY/Ovrtlu36hrdXl6iZ5NH3HvH07CG1bpAUjO1Iu0sExeyspJQKNw4M+z23VxvWXUuoBJ/+9CMerB5y/dmGn3/9Jf/Jf/mf/67H5++3f+Lt6u3bPBVJANy5DFhyLRjZQ5wHkml7Z/IoMmAxRqd+7KJIE2mZ0+ezHFogUn+11Ji8+E+hWw43usNEeZpsTh5dmUGiyr8+eOvVO33gGYBNRIJ4B0SGdyfTB6Lh/tdMU/8MVkKeVE5TT5+nyW7M9/phSBNFbyH7yWNINa5TJgBTOv4h1fw+RG2SOad9l33LWaYvZMpTElIcfMzBhywJz/nrUkGW+SuRQLazQxrkZOIlTqRCRvx+knIHd5+wH0JuQ+dAPkyqi3RMcye9TqF56h25f9p3/kCKHE6Q+yNy+Bpyyjsxhy+GyR6QJ8kTaSGm8LgJyL5DRBwA7b0VI2Yf+j3Qzx766O975PPbiYEUmucGgkvNNKldKa3Hpmm8MgYhinf23XR+ZRsp8bfPm/iO+oAcRplJh8liMgH91GAgEFJnAuA+zA4hD0qMvIMPthOR7QuHOjuZ7I7yEJCZf/b9xZCIkWxxmJoieFf9kEMSD0RJDIfrWwBRCFxez0ulETq3WGiDNCYp87Q5hEwWZZUqKREYo1FKphDJ6doLET9d83FqNuBwTH0cUiOSIIf8FhRVndWwU8AeSR0C91keWclilKI0KVVeaZ3bxiTOOYYhtcmM7S7Zmqf6wqz0cdan67ptaZTnj374CQsN+9tbvvzqJS9fvCHGQF0VzJsKvMUOlrubG/ZtR1FVnJwcY5Rit9vjrMvrXcV8teTkwWNms5q7XcusKXn48ITVskEpiQsGowTdfsvrb1+ymtWslg/58OOPads9Vd1QlB2zecPZgzNi9Oxeniebr4u0bc+uHdj00FKkdi9RJI4rq6cP96F8L1DRp2pwrdBFiWlmNEWyYSoRkETGENmPjtFHFqXmk9OSs1rguz27ty/orr9Blg3D/g4XBZv1jv12z8cffsjDp08xZQkx4N3I2LdcXV7SdRbv4TuffMg//4ufslg0gKDvet68esVuu+Ho6JjHT75HWVVpQETKmatXOUiRlO+wuVuzWh2htMYNPfvdmt36hvXdNddXKazw40+/x+Nn74NKykM3phyHy8sLlssF2mjGcWAYRzZ3a25vbtBG8/jxI+rZkp9/9oKvvnnN//a/+Jf/zmfn7wT6bVEgkGBKjpYrqrJiUS9TcAeC3WjZbDfUrqWsPUFAWTWUpkaImOV1SWpFruPzfmDTdhSqTJO5fOPVIgXW+CiSVEOXBEAGz9YN+L5DCM1yvsDUc2IQKASSiFaKvfe4/Q5ZlKm31nmQEmdHqsJghwNpyhCSiiDYDucshVRUsyWO3NHrPb0d08ReaEbv2Wxu6e7OiWFMaY1Z4kUm94PQmHpJOXuAtSmwTggBShFJtQn4HiUiZT3HlHPm8wU+SFrnKYMHPyCkZl4aiqpONgVrGe1IRcOz4wVOF7y5fIvzHbJcIGWBruvM6KZgvVlTIcuKrneM7Y4wrHHDHdE7+s0VQkqqcY8q5ulhGxWUktIsCEERsvQweIhjD2YOhaQo5uiipihnVPMlRVFjxzH39/ZJuhQiY7tj7PoU5Fg3VGpJDIF+v0FEi1MCLXNwYIx0beo4j8ERokjJsL5HZllXMDqrCVLntbM9rrsBP9CpAmSBUGmKT0ytEHibHvbSgDTp3wj9jkTSpRPCVCBLglTI4Bm8JAYo4p6mURTGUM0XWOcZbU9A472lMGlqMI4DSmqGbot0llIVVEXNOLSpEqU+Q6iCumjwQtLt12lREVx6DzKkvvqQrCEijATXUTYrytkpUZZ4F3Ax4MYdfuwBBzEdbxsihCSjd07Q9W8RXBzOvxBJNYMqolSFNimocZAhERplSVlVeB+x3mJCzMAvEEl+TYFIC8bokWEk2j3W7YlIhmFEFyNClRA8++srdnEAqSnqmnq+ROsGY+pklXCBGCUInawoSEK/xhEYiPio0CJg928Z2pvU3yoFEpnZ9VRx1NQzinrJxklMVaNUyWg9INFKoJWiqhuUGzGqocRTqMTaCq2RZU2IoLRmcBbvImX0lECpPcLXVOWSZrQQRp49+pCffnxGbM+5ePmaz7695JOffJerr8/5N7/6nO8/+xGvxp4f/dmP0NctX/7jtyw+fMCDo2P+q//q/4VSSZr3vZ+8zx9//Iibr14Tzt5j8/YC3xT84Y++i3QOhSB6x3JWs1/fEBYL5KxhPqtpljWr0xNE23P15po//mc/oawLaiG5Ol/z5vKKHy2fIoeWrhu4++Yc+fiG+vFjFscVwfpkwckyz8KoRHxGkK7H230Kuqwa0HMIEukDIVjC2DMMA7IT6Rw0itms5kQZ3OUV69vXvHn1mrs48uBHf4hRmm7oEYuKp8dPeLQ6xXY9oe8J48Cw3tAOPaJsoF5QzBrOHjxi1pwSx8D25pbbywvubMuT77zP8mjB09Pn+P1I2+/YrrfUywc8eP9jynJO8JZhvWV0PScn72F3HcOwpd3ecv32nLd3F5x++IAPn72PkQXzaontB/p+jxsc6+s7zu9uePreitB3rPcbtustV9s1q/dO+OD5cxpVMa411xe3nDx+yP/x//R/+F2Pz99v/8SbLorUTKJToK8uUnq61mkZk+CNSGrpCXwRDzLckBOrDxPu4BmGgBDuELo2BdbJKVAtrdYR5BqzQqJ0yOAgTzaZ5NLiMEFF5IA13AEQTfLgdyfoSb2cQGWYZqBxekpxP32NMYfkJmCWPMhJdu3teMheiWGazN9P5Y0pU7J1SBP9GCNCa3SVA/8OSf/mneaCDM6yn1SkD5jCtiYpNdMUPk+prE0VtDHVCJqqpmhSZTAkBdrQ9QxdmypQp9BC+U7wXQ5bUzpP5A/7K+T9eU9MKJ0GPTq3FQiVLRWZ/Jkk3s7Zg4phqlCE1B7wrgJhUgpMwPXd1yZn+gilQcsM1LlXSkyAfgL7MZ2Rh6aHiZmAHKo3veL0me4DFqdjIKRIpIO3IFOLkjYmAX452R9EtoXkz807+8uHAwkm3iFtIqCAGFzOkkjqgMNUmpjVA7nqLqPd+M67vSdcQuLOQ0jvNZ/baR9OcDyD/Ky4UPJeRfFbKoApf8BU94TCpObIeVHTdTupdpLVI5NnePAxKxAtbpTYTFxN+70oK4pmji7LHOTHfcZWJh38dH7HdxsLssrEjvl9pHNXFwVlPaNsZph6hiqmYUMKixMxIokoKRPGUcn2Mh2vaW3nQwShMFWDLooDMRd8el/ep0Btb0dYDnz3wZxPnq4YNpd8++VXXLy95MHxPAVNeigLg1KS+azm5GjJrC6xIfD2/IK+77i9W2MKzbOnDzg+XlKUhqfPnlBXJW3XM69L6kJngitwvJpTF5rt3Q0yet57+hCEzLL6OR98/DFnD87o+56irLi6uuXmdsvRcoGLit1+YDF41qOiy5lJgpgCPIGYqtiIItWLSm9R0VGVBbP5EmOKZG/dDQyHsMhA7yOt9QglqVcVcnT0N1vC3QvGu9eUWlPMl8TgGPYbyqrh4ZPnzBeLlJMQItY5xq5nc3fHOFqOTo4pq5Lvfe8TTk+WKCVZ36755usXED0ffPQ+q6MTlEoBxsFZxn5PVSua2ZyibtLZaAf6ceTxsycgBd6PXF284eL8FV27Y7la8emPfsTy6ISp4o+cKbFer7m6uubjjz6g3bd0+y03NzcMXc/p6QmPHj/FFCUeweg8T5494z/7z/89gf5icYKRirpoQFfYmGqJhm5AyIiWBWfHj4khgQAtFB6JDzD2e5TwlKbGFeSpJ/RxRBakAC3XY13IF4PIVQXJWxyROVE8TexKneq4YgzYbodznt6N4EZMBCkMumkYxh37tmVelCyWp/RC0g4dPiZP2nRD9UTqqkYwQ2aCAUICuCjmZYUUGhcDu6vXaK05fe/TJMmRAic1SmoqrVJ/u49JzuYcUkraoafv90Q/EJDI0WOMpJnPqKoFhamRxiCQzDOT7W2qAyuUJCqNFoIgBxQdpQpsnGQcPUV1RlSeQW8ptKIwRe4eFyiZJxQ2ooPFMxJ1TYzpJmOkQopU1VcWNc5HRu/RMnWXTzdM5yxaRlZPvosq6rRvYkSKKQU00q8vET750fAhHXs/4oWgaGbpWPUtw3BBdGOag+cHzRBSV20UMRMUJULPkVm+U5aPKWZHaVHhXQrUUSVD3k+6eUh0ew4BQMEhEQRRIrUEkz4jOZRQKpMk+3YHfkTIAqFMXhqm6cZ00SoR8cGy6baYomHfdxAiRbWgrgzIGusCUhuWs2OIUC8fYLI8bLA9YVfghg1h2CJNTRtcqvFwAyF6lKoQhQKhDoD8EOgjDL7dMnpHMX+MViV4MPUx5VynpgRkkri5PhFJPsnWhe/w4z4/sByE9HD0UoLyaDxGGEQM2HHASEsfPVGUIBVFIaiFycmwDikCbmwJY58XOwJlSqIsiapCkGpPCA6BRzdHmfHXqGZGMTvB6CLZFUaLjImFD97jxh3WttjujhjsYTHSe0sgINUCqQWEHh9Sc4MbOvr9Hds16GpJWR8h+wopS1Q5R0pNP1oEgdu714joMMpQlg1akloeZnPKosbUNYtqRmXSdQCCwQ6oMIIoqUpJxNIPkeenS47dLRcvv+HL8ys+/ekf0Gy2/PXnL5ClpFpV/MH734HO8ddffslFZ3n1D/9I//F3cM4ipeTJe2f89AfvsX5zw4XTfPz+hxzPG+5+9Rnr0ePdHqTCVCVSC44fPePm2wuCjdxe3PHk+WMuvvyKl9+8xjQVnzaGt3c34OGrr79l33csCujbLVe9ZXb2Hmu1wLcDWoEdB+zYUWpJCBZdlRTaEK1DhZT2L4oCoWv6wTHs3zIMPXf9njH3tS4WSwqtEBhmGhZ+jdtfsN/tCYuaTz/4kNXyhKv1hjivePL4A1Z1g86TGd+1tO2eoCSbqx1/+4/foGcrTpbHzOsF+ILNbsv1zSX6dMZ3jp+zWpymloX9wLBvWd/e4kVg//YtL81nPH3+EWG3582vf05r95wKwdC2XL+9YLM5h7nkRx//AfP5glo3RGfxg8Vbj+0G9nd3vPrmNZ+/+IrFs/cRm5Z2M2Bryyc/+YAHq4fI2DDuRra3a67XW/7V/+4/43sffPK7Hp+/3/6Jt+NHz8gx13na/E64FwnEhBxqpg6gMNw/I+I9iIvvJm7n1O2QZcGTYP3+Z78z0XxnEhxjBB9wh6HwNJ1/F2RxkFQnCTX38uNwGEsf1AZTV/gkYVWTPJgEXkP2e4ecx5Jf4ABWpZxWzgkkHeT9IQXDjl2LHVIidlHXFHWFqarc6JLqnt6dmiepAbk6MBENSuoDoExAT6OCxxceHfLrZZnztJA+7HuRSABpUoiZVCopEE0KEZZ68s8f+BEmz3gk23IziJqm0wedQ4wEm6fmed9PICmELAufyJDgc1J+EjVMNgqRAea7FWxCSoQuDpYDqdR9AwwcKuuSL3tSl0wHIYNdIVK44Dvna2SavB+EFSCmFPesBkFkNUAKf3TWp+71osSUVZaVp7aig3T/nel0OOQYQDqQ8bBPQ3Aoo5MVwCUJe/K9h8O5elBcTPtDqoPFZGqcEFniP6X2M+0bN3nUJzWJv1ccxJRbNHn9EYIYUwNGICvgJzJAKqJJJEAMUxXiRDZNVXyH3ccUbHhvx3jnutI54DFfV+9ac7xNeTD3yf/xt2wXkyIjzevzuWVHeu8Zuw5VbJGmQJlckzldxzIRZYfkipgbP3IYpC5KirqhKAtMkergZKHBTxV/LgF4KZECtJKcrWaEsWW9u6WqNd//3of0Dn75m2+Rpk71mYUBoenHFBa67wdubu8YxxSQfLyc8/77T9Em2Y3quknv0Kfjtt1uqauSs5MVj86O0QrGvqMpDXVpePH6nKPTUwKRfZsk6kVlcCHy6vyS3b7j4w/fIyrFZhQ8nD3mytZ0ThCEBdIQJeQ1ZTqnJDI4Yr8h2o6yMJiyZBh7tts9F1e3KSNI62zVSETf0aLiuPDo4Zq+OyduLzDaUJ0cY2bHeNNQ1Uua+Rkmh1tPqftD33F3fcXt1RXjMOKcQwpYLBaM1rK+u6Pd7Xnw6IyTk+Nkl0WkdXf0KaR3u6Fve6pmiSmSwrjvWta316jvfEjwjrvba25vb6hnDQ+fPOb04SPKsmJqoJhUY0Pf8/VXX/PN119zcrzEjh126KmbGc/f+4DlapkCI6VkvevZ7Vv+0//0f817H330P35o5u13An2jUqrhrt8xuluIIecfyFTvJgqcdekBEjwypu5vozW6MAgMznuGvic4hwiOmE9Urap0EdYCDzg7oshprkohRcTZliAlLmZGTGkGNx4kXcnbIpEmSYn7rqP1I4XWDDHit3fUpuB4vkCZkhAlo7f44HDBUeSfqXVB8BGlEqM0BpcmwiFSS83zxx/mhNnUra2VJGZG1QjJaD27/S4pAExBbQrQit47Butx/UjwlqZMtWJjZr7HrkMr8DF1IsoQcG7EqoLBd/S7W5Q2+aYc0aEAZfKE01GaIiURh8DQJ1+11wW216nxYEiy59nijFVxlj4fYJ1HxWSPqGoD+dblvMOIdPP1Y4/zI667xW3fpHC52THCNAQkm/2A7ZPcHwJapVRbN/bEGLFERJQI3aB0jVICIZu8oBqSBz5GIh6pCoqiRkiDJDCbL6mqpDZAgLcOES2gMaZkty9x3R4vJMZUIBJ7FnxI0vroCW4gxjEFdJiCKNNCptQBEdJxEEVD148IbRAh2QUCgVJXSFMjiibdjEny5ugdrt1TLY9oVkdEmWwTISQ7gZIiN0+UyCogTYEkELRGFhXBeVCSfugJw4CUaQpl/YjMdg6lDd4DwaFk6pH3wVHoAlPM0nvNzHNUiqKu0xQlOJQWgEREkW7mfmS0HTEElCkoqhlagYyeYeyQPk2RAhEZHEYIfEyLiLJIU1IfRoLt6doeZ4f0UBSJkJMqkQNKpukApP5YMuEUnSIMPVFGyiJ5Dp2NRJ/uBQKLqerUkRpjOpdiTJWReKIbiK5LShclEOUMEUVaFckaqiWiaiBKQnTY9i7V+o07ROjxEoQ0IEpUP9DUBqUrrBdEVSVSKKSFgJIi2WSMwtnAfrMlAIWZoVTFd441/dUF10PPD//8D3lg5vzd3/2KL6/u+Mv//M/59KMPkduOb758zd9++QZZlSg78g//8I9Eo3n65BE/+eETjpD8+otXbOqKn5Sazas3fPb6Le//+I948cW3nH3yEd//9AMeripKEfn1i1dcrW8ZftbTHM354stv8QG++Ju/oWw0oSpYLU64vEnv9+q2xbU9ndR8+J0/o6lPkoRsd01rB5wbEWFEBE9UkmWzoDAaEXoMYwqJqZaYxTEGycxbajviEShVYJRGS4EGHjY91f5b9ptbhlLx/vMPOV0cs91DebTgwcMzSmlQwYMbidbStwO7XcfN1Y5vXl0QC8VuvWbse169fM3F7TWxH6lOFjx++pC5KlNrgvOMbcduv6MfBrogqcPA3auvkUrx6PFzotIEYrKVdJagoX6w4uTsiFWzSPcCafARhq6l7wa63Z7rqy0//+UXXPaX3N4tiLMZD56fcvbgjKP5QzQFYx/pO8t+v+cH//zH/Bf/+/8N7u0tLB7/rkfo77d/ws1NC3zupbtADtjLJLJM4OoepP9b0uiYJ3jEhF+kQKLeCcQ7zP/eVRgfgHOcZMMTEg0HlM/kMfYuSZCnii9TlpSmxBTFYdr3W0nmBwl4vH+r+TNNQW8H0DOpXN8hHdL7SXVOU/DgZCM4yKwhVRWPI3ZIqfpCTJO0/PmyHWBSBYQsXY/O48Y0ERdKIrU5EPYIcfDDZ3rgIOP3LnufD2GC6XtLU1JlUJrS9/WB0Jjk3DEDwaTOyFPykCwb3vskn+adzxjvp+chTEmE+YtIOQpKqUNI4aT9nwAiE+mSP9Mk/zZliSkTmEhJ2ZEQPc6mhHifGxaC1chcEcc0xQ/TPiY9L+UElvNxOzA/03EU08tD5JCLNIFoKdRBvq8OORMyD0Hyr8UUAhizdSAFqabdoQ5qk3QSxRxs5g7d8DHXg4lJVXI42SeyIgN9OaXrywOvcQD6+XgEn0B4IqVCnsaHQ6DeFNKXzlnuCSvBgWR5dztYIJzL79mn9qR4TwRx4KnyfpPJdiJzRaGarkEhD9EIvxV4mSfthHvlTwz+8PnePdeJpAl0tqhEQW4PsNg2fabDdRgn4kygVKrI02VFVdf5mkmkI2MkapmzjuJhn6uYbI1BKowSFFri7YgpDI9OnyC15te/Oedm0/L97z3naDmDGHn19oKf/+oLLm/WCNK9si5LjFY8e/yAqq746puX7HY9pw+eUpUVQ9tSKjDRUys4WTQsmhoRPPvNGmdH9ju4uLjk7NETqqZkvV5TliVSCcbB8vrNFcPguV23XF1/xc5r6kcfc+cMYwjEMIIfcUMK5DZlTdk0FEZj4kjsNsSxY6rPTBXtc57PlnghQadjKCVoEVgVgSO1h2HD2G6pTEF9fExxfIquFhSmwdRLtKmZEu/daBn7lsuLN1ydn9O1PcPoefX6grYduLu94+uvv2FeV5yenqTBsExWD0EKXPRuwI1dIi0FXL09J4RIvZjTtjtGmwZtQ9+y2205Oj1htVolIsaU6f4QPC4kMqbve87Pz/nZz3/B9dU17X7HrKk4e/CQ0wePUvOVECkfxTrOzy/50z/8I/7Vv/qX7LZ7jo/5n9x+J9CfaU1A4WSg1PrAogZvD8ynD46mKJjrCqMLLAIfHdaO+KFNPYEiIAUJ+KgEypVUGJG8QkIZgpR4FzD5tTftGoVEWIfJ4QuDH1OSvE7p4QUCFyzBeW73G+K4p6ka6qJGlU0KVyPS2rSwFUJS6QKRvSHep3C91u9phz1aKppyhi4qRudo2zWlVmgpCaEGpXF9T1WkioUoBZ0XlLrgaDbLSb5J6uraHm8Hokt1O8TAzW7ABp+mmlGgFHgh8SGy260JbiANx0Oa2CpDJWG2OCPI9CAZQpLeGZ3AqxABbTTl7AiEzhKo1ClZ5JtE8A4jRQqtyGF/xORJ9v0e7yw2OKKIKKUZfJaRuEC0LSJalClZFA1V0SCCpdIRURlM1JRFCUjs2FM2c4qiQiiTZNL5RkdOr5VC4hEpqE7r/JBPN3SjCxASLQXeB8Z2j/COxXzGKGd0vUUqydHJGeOwZMyd89EH1OwIEGgtkEoT7ID0A94OtO2ago5yfowQS3wG7sPYo4oaoQqqqqE0mkJkD6bw9DYyjgMCgRFQ6BRM6QHvLYYEuqVUbPo9igEfUrWRHTtEDJSmQMia0Fu0SB2gUkqq1TGdtcwqw3zRsGltUi84lyY+Li909KRqMVRFhYhgQ2CwqUJGCpgvl2kBEjxKKUKAhnRDGocx1d0BQqWgGSUiwiwxkXRjNTox+nbEB0sIEWlKikoSY0pKldWAHS0hCAjgvCP4ESFSS4aqaiQq/TlJ9q+EYYyCaAM2WMqyRpcFCskw2gTotUHkm6HKtXxuf4sbcyigVKj6FF01SFWiTAoosi5JvUqTj4FI6hDbt4w6glhQVUfoco4USTZVyJhA52hpby7YRpckjDEtyEebmkGCEPTdPk3/a83pyYqV94xh4NOf/JBjPePbz19wHgqWjx/wz773MWw7vvjl5/y3f/c1f/vlBc28SioHo3l4ekJpYC4iv/z517ztR5x1XO9Glg8e8c+/+zEqVkSp+eg771GFPe3Nltvtnp/9Dz8DFble33I37mjee86D5Yp/7HoeffIJ3nmGduTN1RVFofjq/ApvHbvVA7wquLy9QSuB8B6lJEVlMKqEGPEx0PYd1mtKRqT3CKWwxTF2NyKUSG0YQqGkTjWpQqK0RBOYC0c/7Fk+ecjzsxPKcgGjxxk4e/CQpSlxbsTbwNh2dF3L6y9f88uvXrJzA1EqLq87fv35l2x2t1y/1bzd3PL9jz/ibLFkVhjC6AhDSqft257N9YYXX19x8oNPOZodYfc7bl99Bd6x7Vq81JTVjHG3ZfXwmKY8xuT3TgDbpWohN1j6bcfLz1/xd7/6Nb+5fok5lRTLgvc+fM7Do0dUxRItKoKD6DuQsPeeP/tP/zmnquLii8948p0f/K5H6O+3f8JN69QJPS3i5SSBvR9ip/qv+A54zbTANLkT//a0Ok6TQw6AKoEqiRLq/s8hTyM5yKEnJBRD0g2klP00/UvBfAnImiKBxdShrpggcXrTk9og5snrBLJTlkicps6TKmCa/E9p4IepYfKIHj7LO/xGmjylybbzAU8CzyG3qfh36uAmD3nM0+kYIviUGi61ppzNEFIcatYO0mmRgwhjTHVaTABX3INC+c77PYC4mNL0w/1nT1PabHXISreQSZR3NyXufeeIe7n8xMQcEuHfAXJykr0jDufC4WveYzKDZjHVxYmcg/AOIWPKcGgDcDkcb5r6qnyslEwq1UQAWVxOYA85EDD54nP+wTuT8XRKi0wY3Nswpsl0nPz2GWhPNY0hA9KkTHQEa9PxzevPZDWRBxJDZf96URRIWTJZGQ42kwk8J9bh8DVObFO+Ft853RLvNVlRkiQgixvuP3P6idkIEEFwn8Hwb5+75HM/7fdMFvicxu9cIv8OVpj7VoN03cRM4KXv9S4k9a72yS6SryMtJVHrVL9cVSkA0NocCGmJ75yb5PctD6GJhqIsMWWR6pdFUvZ66wg+5XElFcCU7aAxeqolFLgQsLs9frt/x2Yxfe44lXsc7BkxCh4uK+bFjEWpOCrmlAVYF7hdbxFC8OMff4/V0YJf/OLX/NXf/IKvXr7GR0lVGRZ1w7ypacqC46MlL1++4u3FJccnpxRFwdHRkgenx2k95QNIwWK5QCuJHXpevXzJ5dU1Qiju7tZcX99wIo65uLhisViwWM24uLrh7fkFSld89fVbrq6u+fDHf4JqluAlRgu8T4HWVbnMRAdJzRs8CpcB9IDWJgVYk3CSjanK3dtEkGkFtQaLw4kOZzvqsuLo9ITm+ARZp4p2VTQoXUIUeJ8sK7vthsu351ycv8YNA0oVDMPIm/NrNtuOz379Jd/9+H2++2efMJul4F3vfcqJCR4/duw3N6xvbpgtTjg+fUA/RtZ3t0QR6fueZjZDCIEde5bLJcZMFrE03PLBY8eRcRjY7Xa8PT/ns88+5/rqhlkz4+T4hIcPH3F8fERZNcgc0B2D4269JQrNv/gX/wnz2YJ23/2PH5p5+51Af3ARo9MEWwYFKnmUvC4QSVyLCklC0NkRN3YJKNqR6+s3xLFjvlhxNFshpORqfUd/d5WmfflGNW+WuBjQKoVlYBQSw6xZJMDgPcpr8AFTFkRjiNbiXGDsR4b9GiMkx/MVUp2gVPLCuAiFEpRFxegKXJYveZ9k2ZEE0Jx3CAFVvcAHT+ctZkgT0NXREUppnA04OyJsR2myT1AZCmOICAZv2ew24Aecc/TDQD/0lKWmLBq01NgQUKbKHmsSYWEqtCnZjyPzVUXAo/PEfrffohDM6pqymeN8wDpHE0HoEi/2ED26mKXps0h+Le8D/dCCdwcm3LkBpzTD0KfQk+BwY5tAvFTIsqGoFggh8TFSak1Zz9FS0vUdPniMiLhuYDNe4KJMjFk1o65mOO9oux0xOBpdJAmgFNTzGUoKCqlwISaJY4hYH6hNDl50STlRlQalNJu2ZXN3hx97yvkRwtR0zlMUgtKADClhWFcFx6sV4zCFKCqiG1mvr2h3twz9HgiMdgBdE0NAj5eock5V1khpKMuaIAxN0xDswH57zdpblJAJyOuS5fIYl0h6gh9w/RbZBpwSjHZABIsUim7sKEpN7Nd03Q6pSxCGjQ/osk6Ph6gwukRKxTq6pFgoG26v0mJMmYYY0r7yfkTISN3MCdZT6iNMFAxjejMVIEuNCwLGMVsjHDGQPhcpKV25gRAdUhXEkGwwSguMkIjgGfuW/f4WEz26nOecjAElJGW5IIqSSmiGwTKMA+PQEuxAlJKITGwk/3/2/uPZsu3O88M+y2xzzPUmfebLfAbAw4MrdHex2NWs7hYltsgIDjRScKbQ/6OJRhpIEZQUoQk5YAQlRlDBpthNstVdXYWqAgrA8y7t9cdtt5wGv7XPTVSo3kBR4ggHeEC+zLz3br/X72tBJQOKbB+RPARd1EwnU0m6LisCWuSZJMocaFOUMnQm7+i6DSEE9P6x+J58T4jCAhVbb2JmaLQWH2he2IcMVNm9I9woy8wJ0xBEHpYtGYMfGHpZmGkNha2w1RRbF4TgUaGnrCp6B+umo7ZXDL3j5ME9dqo5Z1+94Be//YT54x/wcLGm7jo++fwr/uLrM970TiwXbkAby3x3hvEDm8WGN4s5f/Lv/UOevf6Wze4DHj56wCQPAwb4gx8+oyosINIv1w18/eqMMC+5XjZw07O5vMK1A0PyXK2W/PgnP+bsi1e0Q8/eVILyXl1c871/+B9xsHuMmgnoanPgjQYJq8pLFmOyD+/Nb0U2unuCneyjoiFFR4qJth/o3IK6KMSCpTXKddx5bNm/f5c7RzuUqiRGxWbYMD+5y6wsRVnjHEPTsLi84sXzl7y4vGDvB/d4b2+XcOX4Zf+cv1r9GucHylIxnZWc7O5TKUXK4UwpJbqm5eZqwTdfvuHT8zN+9N5jTt55l/b8gtXyivXZS27OvmWYG+msLQ1GV5QSm40fetwQGPqeoWtoli3Pv37D65tL9h7u8ag/Yf7+Lh998CHHe6fs1PuELtB3g3S2D57FosXsH/DBs/d5/utPMLP6u16fv//8HX+KorhlkH+HtU6Zqc/E7Chb3rK2sujf1nsB47CtRvYzyTM45QFRGP+UWdi0Hfa3Q9iWiFVElUjb+reASoqiqHNdms4d3FLnJ8NWHmiQaigTs0pJ6e22qnFb9e32b3MGgtuCFsZaylJyVnQGzFOUtYJ3Du8E0Jckfqm4kjlN2M5EyqGBknlAPipCWUFmcyBJ+4kusv+YWxtEHC0LqFuvvbnted8G9UUBG5xzW+tE9ANh6EmZoUdrWWf+DdUCozQeaQBg+3ftNv18ZITHQEGttXSe2xFgEJBlDBQcv7+QEW+FEebAOGHsOpzrCT5kmXVuD7BGmppKOQ5qy1BnT7WTWq92s6bvOtwgarhxmNc5h0AnI2q1lC8BMjMeAq7rSCHk68fcDvzIs/vWXjACJ1nR4J0oMvsOP/Ri60sxgxtS5axttiHYUiohzZjLoLfXxpjEv62Y02Z7XoTdluMs1YL51gRSMqQk2S+3igz1O0DJGDw5tg7kKzwP/uNnBGtGkAbZxyiDvhscDIOQCzGSovi+JQgyy+NvZR1orbFVKUO5LW7Bn3Ff836p/NwIOXshjJkN+SOFBNlSo3NIdG52GEEvuaZugROVgZpEym1OjmFw0iQSpPFHLukRyJR93TY35KYL0JR7BXd2DPuVpULTbxpenl3xzTevODo8ZG9nxseffsmf/9VvWKw2AmYg7/6uG/A+0lc9d+8dc3xyzIOH93nw4BFPnz6hqipKayDkbYuRsrSk6FmvlnzzzbfcLFYoZWjagW++/pa2a7m6XvDo8WMePLzH2ZtrvHPMpnOUSrik2L33lFTMMAR55tkCrSSkU85QtiXoSBk9vVKUZc1s75DJ3hGpqHKde1aAbO9bsQZ1sScVAzvzmpODE3Z299FFIerTfO8rRLU8dA2rmyvOz9/Qti07eweUZU0KiXX3gsvFmn7w+JB49uxddnd3bxUnWqODZKR062uuXr+g2WyYzPbRRcVsMmEYBkKMLBYLQOodY4qUVYXO7QIxRgKyHunbNTfX15y9PuPi8hpFYn9vl/eePubR48fs7O5QlMVW4aySqMIXiyWHx3fR1rJpNpSTyd/67vzOQb+eH+SXqXjoU/D4LDUySqMJROXpulaYG0TSBImjvT2K8o4wRINn07Uy2O/tkRIMbsCqnIxfSB1Gcj1XV5esFzcolVAxSSWG1RztH1Cbis63DEPPYr1mtbgm9uKfrtsdppMddnf2iaagGRxTE9FKU5VTJoWh84HgHIaCQmmc66nrgqqsSVoeRINz2Nxv2LYd69USXE9QmrKaUNcTJvUE3fe4JBfx9eISlV++bdfiXU9RWOgG2rahLCrKekdUEZM5RQ5RMRjQRnzfMRKBgCb5gbqcgwKvDMZ7Bj+grITL9WFgs1pQ6MhBORUpitIStkUCYzBaSUWIiqhKhinKClPWhL7DZ0mSKSt0OWXwgRh6STxVij5ECA60tAOkosQWU6pqQqUKrNYoIqvNAh8HtJJwL5Uirl0R/UDv+1u0VxXUkx3qyZSptaSYWC96TGGZVRbf9yzaK26WN/R9w2w6JcWBvhuICfxKEM696RyjFC55Npev6JslLjhicgybG4YsPxPPz4yi3Adbo5IXe0GSNEyNwhQTJtbi+5bF5ddEn+v7MjvjTYlvz7MM0+VAFqkTwlbSkpCrV3y/ZFg3hH4lLygtnrmkS1IcBIU3BTH0GDshGoNJlov1OjNIiTrKQwxlIfSkAGpQmHpOs9nQbdaiRPEDRmmKyQ7BOXQcCGK/Q2c/07pt8uJGXjS4HqW9hFBufx+S62HoGJKjb68pypJqtkdVTykKQwyBwXs0gUqTU24DKnXMZiVltUtMlrKagMoKiKSoygmYAmULtI5o3zMvKopSY42h6XqaYYBWkG8XHHU1ZT6fERU4oqh+tEFrAQJc3zC4nk3XExUYY/BR1ApYy2y2Q2EtwUs4Zhg6nEkkLWiwsRaVdjkwCR8C3ovSqLCZidKBzaBo+4RWO5RJWjjeuzvhwT2PoeHmasGvfvkZn72+5vrLf8GdO3O++eILrr3nD/74J8z//GO+enFFimCn0g28WiyY7Ux48OQOJ7R86hIP33mHmbWUVoMPXL55Q/CeqiopywKlEpcvr7npeo6Odhnacy5vLmjdwN27JxTA3/vDv8+T6Zz//r/47wgxUFolFTz1hMO7D4ndipQ8MWo6dJZmegoldZZ98NiipFZQ9guStTA/wepyu3DX2lIXsDObgnM03tG2DdNKMZA4OL1HqTWxa+gGB7Md6noHfKLvGlaLBaubGxbrFX5e8IMPPuTOwTFqHfn4xTd0ybDpNqQQOLh3h2ePHkMQTUgKgfX1Nd5rXj5/zbJdUz6Y8ccf/T2q+oDXL77iydPvsX90xMXzb7m+vqbeOeb69XMmNlKYkZX0uHagdR0kzeJqzdnrM25oefyTh5jrRHc98MGP3uN09wF1OQGv8C7hvKNvezbLjkXruP/h+7z54luKox0ePXj0Xa/P33/+jj95lMzD+jjusGXuY0qEiAyFf4PhI/+9UdsrPevya1nXZzZ09Ftvq/uECXxb/m2tFfJDy8DpnadtW4auE4+/UqJUUqCVzUPKOBDorTx5u1mjQfstObl6iwHd1ralxBi4JyymfInWUhM2sr/ee4a+p2tbnBuynFp+xhg4aIsSZfXtdJngNpSOfFwyoBF/lxl9+/sJgB0lvsUI+KqMrOu2x3LMRYi3+moZToVhxVjh8EdwwweSiuMWk1JCj0qHNIYWyvCZTLFNWh+H0lHqm1IkBFCO7UA8NiHcZiGYbUDcyDCn6OX97zxuEM9uQgDSEPxbA/btNqfMErq+xefGg+RdBowy2GDEH74dlCE3J+SqtXH7U8K1Lf1mI5bO0ZYSxnC4EVDIzHgGvcdAyW2FX7YSjEzxqGbQqRRQfgTIYtwOroyKEMjSfHWrxDBmO/yPEvYRXBHcRL/tRMj35giK/a5FZbwn1faav71XtyBXvl5NrrirqkoYUW2JUay2KIXyJu+j2ipGxprLt5USW/vLVn8gG6nV7TNhu79KYcpbu8zYuCDMumxzDEEIhjAqb/IAmu/zNCpw8nMivdWjjtJi5ck2mHEbjTXbQyuZCkGeBd4xNC3Ke56c7HNYa2xy+L7lzavX/PlffcHXL685PD7iq6++5PNPP+aDdx8xP7vh1ZsL9vZ32dudcX61oO0G7pwe8v3vf8De/i4hRKbTaVY4D/QuMbQtzWaDj4HpTOrbvv7qKy6vrmk6WW8OPvLtyzcyK6A5PT2hmsy4uVlnvCvQto5kSu48ekrUhkTIz5YcPboF89JW/WOUAcBWNdVsV4jNpPEBfEg4n+i85BZEN6B8S7mb2L+nOTk6YL4zl5klekIM6LKGlBhcR7vZsLy64ObqCmUMp3fvUZUTnAt0TUs3BNbrhpgiz54+5u7d02xlUSQlhEGzumJ5dcHQbtjZ3WNn75Dpzh5FNaOa7DJJkbZdc3V1hdGJkIPB31Yx9X2P6zuazYrF1QU31zdEFA8f3CcGz7wq+eD9d5nv7uS8B5Xfb/IMOD8/JyY4vXOPkDSbtpH2gr/l852DfugdPeCDww0tKURsrjCZFNIV66KjqAqKyQRCIjlHWVoGbPa4eDCaShcE5Rjalp1ygouJvl2Qph4XI9pYvO8gBKppxXQyoSxrrK0oC/ForvuBpm1oNks26xU6BnRRI0Ctp+3XDH2HVQXVdIKzBQoILmK0oprPaI0m9h2QMASRQrtbDzYKBjQuBmxRsXtwRGFKsCWltSI5N5qgDX7wGAI7s11JzQyOnZ0DPBHfd1ijKSc7zGa7xCQJ+tYPoG0OIQzYssakgHMBE6Q309Q7jGieGwZc15NSoPNBkORqyvzwAUYrIiIN86EH70BpSp0R24mE+YQUUF7khNOqQBc1CUEmQ1I47wnOU5WWwXX0vfSVS3iMBKQklfC91L1519L3LZ0yDB6qQnIZvPOsmhbfdyiV8EkC8XZ39nLXo4TGTOqStm2ZVIboHM1yxbJrWTYbtNHU830mk5o+KEIcZXmencmEtt+wXt0w9B2KgLY13kwlsG8+pzYWa0TeYo3BGPHvu7YjRYUxBV3X4KJDKYhhkHCjvkUXtfQ0h5YUBkKKDPmhjJIXTDIVylTYeobWBVqB69e5K9mgy70capggBZS2oAu0KTFG5F2m2hFyZxhQRYn3PVop+iCprsF1GGOp5oe0PsDNlcjLjSJhUYivrmgXdJsVKQpjr7Qkzk8nM2o7wSeVwzNbTBqwZa7LMTVRV5RVSUiWgYTrO1L0FElR1xHfrvFrh7EwmR6SrCFMphT1FOdqXNeicn6GtmK90cExNZKaqtKATVFS+n2k2TRcDy2mmkpoZwhUkxnJKFo3oIzFu55F2+GUYr4zx/uB3ke874WxUhpTTKmMtAXoBMPQ0myWlOK0xWpFJDCppgSj0W6ApNFWY2KkKgrSMOC0o9irSEmYQRcDSkXuHE+pqikRuZ67ruOnT+BAv2b15pqvnr8gHc34D977Kf+3/+yf4w8Nfn6PP/zBM8wm8JeLVl6YKvEHf/BDbr59zWqn5D/+93/K41nN57/9is/PGu7/QaJpG1HQTGqmOzO+/OprVjdLLl+/IcSB58+vuelb1l99zfVyRTcMPHn/MT969pSPf/lbbl6f8eWL3/LLr56DkqjRs1VDfXIfO90hJoUtZ0xMIV5bK1LRkBcrJTIklEEsG0FpnNcEv0JhWa8XfPv6Wxbra6bTOVYZ+uDZO9zno/eO+HffP6L2jmHo6K4WXDUt9dP3KDY9q2bFzfkli/aKZmiZnx7y0bPvsVfMWF3ecPHmirObNZs+0Pqe2fEu/+6f/LvM7QSjFMO65fz5KxbdkrOXV7h9y5Nn97l3cg/Xa46ffUhNxeXL5+zu73H3yVP+4k//NWHV0PWrrD5ImQkJXL++5KZZcPbikq4KHNzZ48cPH7Nrd3m1OePknVPeu3+f2tbgEi4M9F1LPziaZc+LF2foO4ecHuzz5Yvf8vjRuwzXSzj9rjfo7z9/l5/ow5jGBkoW9pBJs5EN1MKKq8wibqdhEGYtSbtJzIBACHJ9hBAktC2nu3svw4+xBlNIsn8xBmzlYcF7CSZu1hsZ8kPIXfPyEe+xxhSWej6nmkzF710UW9/9rbKALQOuMmtDGvdRFsQ65aGOgoJxLpPBJiXwXkDPmL3hZWGxNg9D5DR3I2sClReOcRtWyBZE+V3JNhDHYT7msMHbQUlphVYWU8iwmXROpA9vpb0bC1aes9YWYhez9i1ZvTy7NKCSdKZLgnvayt0T6m/I+8kEespy2rgN1xpDAuO4IxnrVpnhN1b87b9jf8he8xhkgPDO4bwnxpSBAPnz4MbEb7EzxOwbJ+XKxShhefVMMoaUNqjspUcpghMSKTiXh8T4lm89H2Pv8H0v2UTj8Am3wy9pzKPM/2OR+HJhk5MS+0Mk5Tn7LaZZWzA21wWb7cA+VsxtVS/jOR6vUTVaR/QtUDb+MblyMQMsMhuPHnjNlu5n/FbjffvW9yPnX6S0zQqQa0jaDowxuKrMIXPltg5zZDpHxv227nIE1PR2W4GtAmUEdVAQlah2trYdHUkq3+f6FgAYFQbb+1srdBKgSjCy8c9vWf1tG0e6VRdoqzCqzKGS43ERW5IAiGQrjtQ4GxUxCkLnmfiGj+5NmdPRrlZsrs/oh4HeO7qho7CR0kb+0R//nP2jO/yf/q//Bderhslsl7t3TymLghACP/vxD6jrit/85hNAYWzFZDLBlwUpRFzXsVouubq6oOs7vA988eW3XNxsuF60NP3AatNw584Jd+/e4eWLnqqwXF9c89VXz4nZntk5x87xI6YHJwwh4kMSawsZYLnl57eXm0JmztKWMosNgZtNx/n1mvWmo+0cwyAqxbouOd013N+dcm+/ZjqbYrRhs1iwXC7YPz6lSjD0DTc311xeXtK3HQf7B5ycnFJWNf3guLm+YXCepnU4F9jZ2eHnP/8J1ihcbjdp10vOX3zDZnWNLQpO7z1kZ/+ITTtQ7x4x3T2gmswhE77L1Yr7d4/zdS3Pw5CfUZv1KgcAntG3PY8ev8PJnTsYa7m8OCO5gcPDfawe7w1NIhCd5+zVa158+5LH735IOZ3L7WW05IP8LZ/vHPTXfYu1NcaU2EkpqeIKhiDe6BAipSlJ2uKco3c9KkZ8sKAcvmsJfUfTbth0Db3vcF3DdfTU1Qw7mdDHDhMSyfVUZcVkskNRloQk3rduveHGdTjv6LwT6bS21NOa2XRHGEWVCMlvd9SjWN7coFOk0AWz6ZxUTulcRyRRlbWkHVpJoHchoFzPQJbHaKhne6QU6TYrqVPTBUPXgjK4AFqFXGFR4/oBmwJG1yQS85SI9RSyf3vYrFht1gzDgFYRXVSAoVKKfugIKp8IYwRFGzIzoC1ohUmasiiZ1iWTqsQYTe8DTd9wubhE40EX+L7BGM3+7iGHu6cYbYhai7caMVs03ZphvYIQIAA6EfJz2Bthek0UtHKzWdBvliRtZZFhDLasiUkq64y1VHS4zYK2vWEY1pTVlPnRI5KZMKlnGC2tAMYYuqGn6zrapcMWBYM2dM2GPnQopdk/OEKbUh52KRC7nhR6Rknd9bqhNIr5/omwKM0SiFS6JNoSoxKFCjTDGms1RYq0N9dsrr6VFwYKrQuxcESX1ZIFuqxIGrxvZFGgClBybYA8gJUpZZg2kiKhtcE7sUhIsFFB1AmSR6UoHcLKom0lX69tPn4Tgtvg2huU0RkUMCRbQ4yU1YSBSFntiEUlOmEknUOpiNIJFRy62sFtNgQvDPrQb0hJwo+apsaUU7SuQUuwJWp8nFpcAu0HuuCxVc3e3inddI/oe4w2XLdL0iDqDh8GrH5JmYMmBydSQGMVmILSVCQKojFEZQHxJcZW0FQ0lKYAM6EoJYCzrGsGFzNIUFFqOXfT6QyCxw0NNonlwFixyAyuY/ABW1ZU1YTSGFFmWEN9eEqhNTE0DC6hyxn94On6lrZdS1ZIUvi+YWiuqMqaECOu36BCy3xvj+lsl9nuHZYhYHSLTgqVAkl1PLGaxetvef3mkur0gA/vnfLpv/5r1s7zj3/2Pf7g++9iWvjFX/6Kf/vJc4YE86rm3vEB7uKSJ/cOuFOWLM6X/OUXL/n+n/wTTBi4+PZrmuUKpTUnx4fsWU03dCwvL/jVV8+57C2rpqXve7yPTHYm/PinH/Jkb5/f/qu/ZP/uPX79i894dXGBLRSXNytuWsePfv7HTCd7KKMhRNp+Tdu3+CRA5nQ6Y1LWkBRD3+Cba4zv8dWcbgj4tCElxaDh5O599od9NoM8n0+nOxQ4jqY11dDSX19w9fqMFy9fsp7v8oN3nuF9S9ssWDZXuJnhve//gNODOxQuEpqB0LY06xVmOiP4a3yIPHj/MT94/BQ1JG5uLjl//ZqrxSW+hL13D3nw4B47dofYK/ohEJJmdnDE7u4Bm5tLXn7yW1btmo+e/ZS9nR1o1yyaNaSBZrHh9cs3bFhhjyvefecx908eoQdFt9jQ9h2zvZoiJqmbGjzdumW9afAp8cUXr1nrjp8++T5VYXnw3jtMTEG/WXzX6/P3n7/jj/e5ZsyYbajdKNMepe3Iskh+PQ54eaEu2Qwdw9AyNA1D04ikOsgAKfVbE0xZYq2lrCrxiEKWiiIS+CBJy33X451HK818f5+qFrm+sK9vJfpn77T3TlgZH7Ksf5RDK2C0BmTAQmWgIlOAI6MOjHPXloHVb7GROr8rjapzAr/asqcxe5y9k4WyD0F61kZbAjB6ICRMLSsa3G3S+W1S+lg3OCqQNM47hk2Dd4Ow8Ln+0NgSo43I6BVEFxgGJyqKkaXf7uftMCuTd9qCMGE8pjFsD8K45XH0zXpPyOpKAFOWlGVFWYqP2o6SdZ2tZjmNPwSfvbvipQdQxlCUJbaQ4K84pvm/VZe3ZaffYqBFfg0pxG21X980uK7Ddx2ua6UaMQaSd1l1NAIouWbOWpQtMLa4bV5Qt2qQsa5Ofj9nCmQ1AGMg3qigGIdYbdGjys4YRqtIzOdhy6qnfNWMU9eWolfb/ZR9HlUlORchwTg9j0P/+Ott9sDbQ7OWFHxbVpTlKKc3jIGOY15EyMBK33V0zYZb8O5tUGq0xLx1P2id2x8ymLD15cu1eCvd1ySdkDwGuR+0URlTFOBtbMgYnwOQMRJt0PrWzjI+i7Z2hHE7YyQMQTz/riO6fmur2NoClJLsBGPk+VAW2MJSFpaqLKhU4qjyHKY1brmkub6mKg1HR6es2h5jDR98/x2evnOP3f19/vqTb/n0qxdgSoZhYFJa3n/6QI4Jid/85mM2TctPfvIjjo4P6fueZrXC+4h3gc1GAnM//+IrbpYrrhdrmj6wbqQ27vhon3/nD3/GbD7li88+oWt7/vqXv+b8/BKlNIMbiKrg2Ud/gJ0f0PWSvqEz0JJiIo3PqCRqiagh+J6h78QzH2BIiqgLqukMVZTUTp4D1mqmdcn9eeBkFrGxp10OvLy84cvPvmDv8JDDOw9xPrBeL7k6P0MpzcMHDzk8OqYoCpx3uGHg6uqarnWEJDWuHzx7zLvPnuCGjs3qmquzN2yWC6aTmtMHT5jM95nM5jjncAH2ju4yne3KvViIB78fHPOd+fa5kGLAZZXj65cvaddrZvM53/v+jzg4PMIaTd93dG1LWZVUVSnvgXyFh2Hg688+5+LsksPTe+ztH6AQO01VljSb9d/67vzOQb9bXlJUNYFIpRTelJiqJiq5CX1y+GHAu56hXYt/U8nDZIgD/TBkuV1Ca8PedJe0cwjKUGqRemtjsFp6VqPWuL5nuVkyDAN1UVAUFbOdA3Q5YQiR4FoKlWSI9VJvYAGURRWWpAw+OKrjO8QwoH1gMt1B21LCNvRb/Zz9QB88CYXLIXFa5QqUOBBDYj6fZ69WTidFArxCCpK0mmVoSWl8lOGibxtckoElxYDLYTYqIfJxa9GmJlYVSSuaboNyguAO3oHWFFqqRIYY0UEk9jFGjNLy4jElPiVBtsqC2ii80vTtgrNmwcXZc7QKoAwhJWxhpUKERHQDlYZqsotHMQSHzg9T53piHAhBMgVmswOUteI76dbYGKjLipAMsXP40BGVwlc7JF0QrKFpG6JfMBQlVT2l0wUpRsqqACWd9jfrDcaA815uchK2EoDTdw3JWOppRa2nhBgYQqR3DhUGku9QEerSMmwW4K/QgHMNRVmQvDQG9EFesNHl8EitiHHIPjNDMhalK0KyW8mhLmckZQQIEWhRuprrGVbb7DdMaCK2nMviwzvxwfmOGAdh/xGpvlJavO9ljVaG0Hf07QalS7SpEV+9yItVigzrJRFpLTBFTUxSVxkRH1/sO1IYKLxHFUVOe51gyp38no2Ak8VO6Md1GyrJ91N2gi0nmFzf6DcDne8lkVYDMTErp/hyIiF7WuoUvReZmtYlJIUuhP3xSZGCLJZ0ciQ/4HSiKCu0MQxDh+tWEkoYEhQlSkfqvOCKrhG/U9+wunD07Yrkm8xERA72DynRXC+v2LQNZVlST3aZz/aoZgeYesLQtmz6Dil4lOBQowtIiug6hmZN097Qbq5I3rEqZ9LVG3pS3zDoyKpdYi+es7N7IOcvWeqq4s5BxWRQLFZLDt99xNPTU66//IZffvWSn/17P+ff+9GPcBcXfP7VG/7bf/NrXqwa5jsz9vZ3oHdMpyUPDw/487/4lHU7UN475QcfPeX6i2/460++oCwLhmbD4mbJwck9fvizn/JwcsDXrWLx+ob9o4rVcgM68d4P3+Hvf/QDzv/iN9y0Lf/iv/6X/Pf/7z9j8I6kDFe948GPf86TD35CoSWVd3BO2PooSHpZVKioaJoWm0GrqYpSd1pMoKjZne9jjcUPA0nJMycpIzLh6Disep7taTbffsnNm2+5Wt7QFYm77z+kQNF0HZveMbl3wgcPHjDXJapPbNYbFq9esdxs+PzL12z2Hkggz3zKD3/8A4qkWV9d8/z5N4QycfD0HgcHB+zP97FJMzQdzabBlzNMFO9bVVQc3rnH5uyabtMyraa4tsM1a7p+RRgGzs7OCLuBp4+fcf/OE1IbKXXF4D3dqme5WbP/bIbvHNr0dJuWZtNx9vqcReh59JMHzKt9ptM5hIQKEh8V+vBdr8/ff/6OP8450AEVjYRqWovOjTUhBIbxevf+tgs7d8eHIKGiKfot+6+VppzOsLbEFPIOGHMAYhDJtFIyRIr0XrZDo1CFFRZ4qrPH2TKG5cWUINc/SWDa7T6MnmaTfexbvzhkn7ZIRLciz3Gdtx2i3vp9srx/y7+n2+EoSK2ZD37bVnBbfea3fmkMW+864+I7f4+YVY5SWSfXekQG4DHYTgZ5I3LzYZAhP8ZtBdsWRNgOSrcM83ZAVuOAdLur2xq2vM354N16qbOc3JjbIUsC1+T8p7dYZD/uXYoEPeQBdzxiCuLbve8JZaQ1qsi1f6OvNgTEd55Ecp8S2+M1WhpCDJm17/CDyzkJA9ENIqXf9tbfytTHoEVtCknQL0vKusZWkhAOI5v/liZ+ZI6RXwuoI4OlDoGQj9FYE4fSaG3leCmda/PG6ytt/9kOphklu/2xSa7NdHu1MVYYjh8NJJ1Z2S0adTvcZ9BgDKKTATrnGSSkNcncBhMqrcUivN22W9tC+hs/O93eFFtsYtz0ONb6JQGg0LcSf2M0NodkhnFYz1aM5P3v1O3FKOqCrcUiK0LKqqKsJ1mpY7bnK2TFhwT7BYILMti7ntA1hF5qi1OWdt8qQApUUZLGHIEcPDorDXfvT5jd26NUnsnRPvVELMghOJ49vc/jx/dIaD7+9Bv+q//nv+Jy0aCUoa5LuTaUYvCe16/fsFyuePrsKScnRyxurvnqy6+5PLskBKmj3tvb4fj0lIfvPOXrb17wz//5f8d8PqGoNPsH9/noww945/Fdvn3+iuVyw29/+xm/+Itf03ROcnIw7N9/wNMPf0LUhojL2R23NhwyoUuKKA3RR4ZuQ9duKOpZJuMMk2lBPZtRmHwd5WugIHJs1hRpxfpmyfrmhlcv36BMwem9+yhjGXrJxzi9c5fZfEfS85VYnNpNw6sXL/nys6/Z2z8kRKiqih987z0KCzeX55y/ek6KgdN79zk4vnt7X8bAcnHBzsEpu/snGaQiZy4IUFYWFpI8j9bLBeevX9KsVswmc548foe9wyPKqtrabbqm4ezNG46P9tHWim25H1gtlrx8/pLoA+9//yOme4d4NDEGiqIgRc0wOP62z3cO+qo2JO0pSRhTEqJjtW5omw2uXTH0LX23IboBWxhJfTWleMbQ6LJGa0NKGmNrtCkobIk3JeiEV4pCV3hT4FMkBEcwhnpnh/2iZlpOGHrPqu/pNyuGfkMMA0NMoiLwnqKUF+xsuoPPj6jgI1pFJkVFOZ+QEvRdR79ZSCWarfBAVZSALGS1UiRb5RecwzcNEU3XZ29EcGhtiEnRp4ALLj8cA8PQMXQNkF/gShaCCQW6JIU+h+9VFFbqnRSBZuhouwbfN4yvHVJEhwTGSKgYGpcS2vcURY2uJpiioFkt6Ns1zok/3tkaU1YiD7ciLW+HniIGjEoM3ZoY+u2gjylohwti9BT1HIchqkQx2aEsJugsaY5ReiZV8pRFTUKxadb5gS+vmkAgJoc1wpi7IL2kLkU2zqGSh7woL80EW1TycE2KUmsSRiwDXcLYAavFm9StOloUfddLEN7QkEIrYAkK7yMuDqAUIRkSBd4rfChIlCRjYOLQFWArQbbTWD8kqZ+mnmDLGqsrbCHDKRiiE0ZZqh4heC9VGc4xmVbU9YRh6OnWl6jY45SmqGYYsycBN6bAFhNCElDAe4dzHahEtXMs0rqoSK4lxgaU2T70k5JF1tBuMntVUlRTqp0DhnZFcAMqJamw1CVlMUPbQrIXfItza5QqseU81wqWeUEiQE/wHjesxaoSHSFGiE4aC3RBYadQCDAmNXiiaCgncwplsTphrXhch75j06xhGLAaogGXFGFwFCZSTaYYs8vQNawXr/DDBqWkSzlGMMYSw8AWpY8QVBBbhFacnW2oyoqhbxn6Nd3Ks0wvOdOGarLDbPcEVe6SlAbfoIylrOdUU4uOjoTCFxMKYyl37oDSsoinx5QGHXpsAYSAcw3X6xVVPWU2ndCFwPEc/OqKo8cPuXt8yvLlGR9/8YKXG8efPL5H8/qMj//i1/zl8wUfX66ll1or8JFf/+YrppVnuDyjIfL0w8fUkzlFDOydHLG76Pnxz37E0d4uXdtQlZbj/T2mkyn/7N//Y/73/7v/M89++JR/9a/+jD/8R/8A7T120fLx598y2IL/4U9/yZvrm+3zuprvUh7e4avf/or9/VMme/vUhSxiTCVDR8rKHoCuawlxgOYG7QPLzhFNQwqJyXQmww2FdDzrxMQaYg8Pj2dUN9+wOPuWm36NvrvLR+89Y3f/KYvFwGoY2Htwl3tHJxQxEdqW4DqC6yhmFetvz/j1b79k7ycH7O3ucefwgMOdOZvra9qbNRsGDo+P+OC9D0it5MO4YWDoetb9wLMPf0atS4JzpKJEYWivFxzeu8fJ0T26s+c0zZLN8gZnErtPjnlw7y4lJWWqiTrQr3ua5ZrVcs31csWut3TNhqZpWDUrlss1xXHN9+89YW9ySOwKXn31hvKdCZv1hmrH4vq/HUH//efv/uO9lzrQbVe9gKzeOdzQC7uSW0tAWBRjJLjTFoUM3mWNzd5YY6Vad6zbkpBPGTmjD1vlesoVehryoByzDzgSk5LFmBu2oV0pypBZWLvtOTdGbz3Pidysk9J26AHk52WGcmSPhan+XeZYmMK4zSGQirRAGOvH0sg8i1R0TKQf39fCQspwmdPTSCFtk8zH3vMYxD8+VgiONgE1fi2J4Af8kNlgokjjq2rLGKPU9pgI6CJAQ8jD1yjrViPwoe1bPvos7c4j2wgAMFbXwVbiPYLcIyAxDr0hD2neDbff8y1vvjYmAzo5uM8UmELOGyTJeQnSse5zz/oIomyBkNHSkBsSRjxGvOwiL1dVmSXcOZgQCeYTZYeV/zc21xeK4sCMNpQ4BhHK9x6tFvlf5HyHcXvEPmKsJZUlo/JB+GmyDZbJYd8AAQAASURBVGM7qsv/p8gYoJeyImD89ttxWiEAvzgYMps9ytTHwX1rLmc70HM79Mu1J8d+9MXHKHWUQ9fk6y7nCYx/Lwcfmtw8ZKysh7Y+/PzjbwGuXFOXgRQBh8ZmBrbKBT9ItZvzEow3AkoSrBizHeMtpYbOEvNMCIHK4Z/Zbrs9fzYfB5WbJuQeMMZirTD0qq6JkwlhmBFdRxxzH8YgS1uiihIywJS8E5DIe2qdOJgV1HYXbTRu2PDtF9/y+ZcvefcH32fwipfnZ/y3/8Of89effktC5rKu9/z6t19wfLjDB++9Q1VZUgrcf3CPsqpRxvP9D3/I7O/vUk9mFGVFNSmZTaeUVcWXn3/JF198xkcffZ+221CWFdPZhBA8L1+94eJqwf/4r/+CN+fX2/sPranncz797GOqiwU7hzIkG60wOruwEmiVtlalFB1du5JskQQuRJIOAlJJTifGIFaaqCnSwFSDCp62bWg2DYcnJzx89j6zgwMG16OVZmdnj7qeSl15kmuu7zoWNwtevXjNcrHi8OiUGAJ1VXFyvE+zXnJ18QZQ3Hv0mL2Do1znbUgx0bYNXdfz5PguESEHi8Ki0HRDjy0sxir80LFaLjg7e4OKiXsPHnF0cgdbVCK5T1HAaOe4vLykaRrKuyf0bcfV5RVnb86JMfLg4WPuPXyCNgXd4FktV8x3DySoGhiG4W99d37noG8wxK4naGjp6Z2jbdZEL92wxpQc7hxQVROSLrMnP2KLgoSlzAnbSUslSGlEBl1QEJN4Yo0uUEljbEk0BSopamtpXcerq2sKDUU1IxmLTY7oIlaXYDRTXaCR9HZlSvqho+tbEjKURi0XSoyBlR9QfmBSTbFKLoyb6xUuB+dprRhSZLNayIWojMg4bJmHP0DJDb4NpFGaSCBqSzGZY42W/TEFVlsJjggOVSNIoIp5kPfEJN76yXQHPd3BFiVt7yRB3iiSNiKxVgZjrDxMiPR+oO3WBGXYOX7ItKhRSJr44vKc0kZq6xjac3TXSa958ugkkmlT71FNDqgnM3xMtL7HCG1BiF5QW++ENTcGhaEqp6AjVlm8D5Sl9FWrBC54LAWYShZJukRZmxsFSgbn8f2K0hi6vqEdGtKwpDRWUmuV5COURcHglSSvdxtiHCRsJyp8GBBOG1IydADJYU2BKSdoO6U0BdaWQCIqS1FOhHEOHtBYXWIqudzLos5IKSTvGbKMf+wm7ftWXsRK4b28oGJ+0KboGYYFzcWNeHfcJmc7JLSd4EwhdgBbUVYzsAVKT7YgjooD0YtPVBm5borqTl4ADVhjJfBHJ8Biq0oCoLKvPZWKooy4oSP4nhjX4DuMrei7Fhekn1SbEpUaEgpdTWTRWRmRKSK5FH0S8ErAjFKUE87jhwUQGHROVM7MgS0q6rKmsJbJZIYu52iVmNcTOiPsQWln2BAJMYoFx/dMSsve0R32Dk7xIaCSpveRwXsSgeg78A2xWzOEgdhuiN4xmU3Z3TtkCGCqHazbpxsE/JL9muGrfckmKArK+SGVLZmUhQQPRYc2XoJZ+haXkDDC0Mn59YFJbZnWU0zOOOiCxnsJfxraJTp66v05e/M5m/NzXjx/yZ/+9Zc0wN1pza/+7Jf8+uKaNN/BFBrVewbn6IeOb58/5/Bkyu4f/4A/ONxjebkkPXpCjIH50TH/4bP3USGgSRyfHrG5vuL1V58z3zvEtZHrq2ua8IDKGtrLc/wQWWjDq2XDqulYrVaUVSlWFO8xdc3N4pKz6wu0+ZTDB+9ycvqAyhgKZUhOwqFsWVGVtYA4yWFiT9u3nG9uSG5C3NMs12sJT909YFrW6JBYNRumtcWulrx88QleNdz7/jNODg4oVMXlmyv6nX3ef++ZVDei8K4lupZuLUm268s1z7+9YPaDH/Lgwbu8vv6EcjphbzqlXTc0auC9H36fw+mcmgLPwNB1bBYLNm1HrwuOD+/ilj3D4HB1QCdF37Uc3Tlic3PF5flLXFyiZwV37pyyN91jMplihkjf9vjB0zUtzU3L57/+mjf+jJMr+GL1nHXvqA4qnn7/CadHD6j0DkObaDcbvvnkW3buHDPbmVBoQ3C/Z/T/p/yITB9IEiwZU5B1hIFqWlOpWW7zkSFplOhuQ/C2sluVJxW1HTpGfnQkHre+bWArZ8/+3u3wgBJVYR4uEqISUKUE9m0Ht+yJH9nRlK1x4zCdMtM9+orHhagPfpyDb792ZKLzwB/z0Bu2fd+3f6YSv8Nsy/4pGdCyP3hkWpUGZS3JBuyWRU+3nuNxcBsD2sZ/5ABBlMwh4HYQjpEUBFyPmdHXRmNtZj2VRhcFRVlhqwp0rk/MA2xCQJXoxR43Ah7j/hvG4zH69yMmyUJ+HDJHD/447N3Ox6NiICeeJ8QumuRYxiAWh5TD1sQukLbheVmacJs8n+XpwsoXGeCRwU+yEcw2VG8c+HVRUNTVViGRZ2k556NHPQQSt7VyacwHGFUXPoMQQ08YurxOCdvrXBsDxmIKITKMLbP65K1wuhFs4ZYFvx3cMxg0XkOjEmD8z3iNIen6W2Z9xCVSYszKSJlmjzG+FYSZB2ljMQliEkWGHPvwO9fh9j7OoYZmBESKDALkc22NRhm2Q/b2mle3mRCj0mZ7L8aIcwO+H6SW0EkFbgqeMbdCZ2m9tjaTeeO1Oip+BAAz2Y5gijKDNnqrbhAGO8gQr5T4+1PI2yjZWhixbYgaJqGjB99Tu5adupQ4BhR9P/D8+Sv+4lef8uZqzdFiAy/ecHF1g3MBawzOyz25XDUsl0um04LHT+5RFoa297z73ntM5jJ/TKYzTFGiUHm+ERtU3/d07ZpJZXn86B5X15dsmkbaDnzk/OKSddPR9RtiUluys5rOsZMpZ69f0n3zguN777BzeCeDIXIVWS0qZ6M1lU3UZqC9fMPQinWOuADTCziZlVc2q4i01sy0I5ZSI5mc5+DkhHtPnlHMdumHAZ0i9XSeCSdRMAYf6Pqe5XLJ5cUVNzcrlDZMJxNpGajEatw0DZPJhOPjI2bzHYqizM/iiPMDm80GYyrKen77nI7yLB+6lt2dGVppbm6uWS+W7O8ecHh4JCSKLbbPAe8dQ9fRNg2vXr5icX3DV5/D5/5TtNHcvf+Ah4+eUE/nKG0E0B56Li/OODw5oa7rfF3dKr7+5ue7B32liVrRuw7X9/Te4YZOfO1tIAIbEn3fCdqVO9ETFc5HmhCwRn4vRHlgqxCJQw9aU0338Cox9DLIFaZgOp3jygkhKWpbYbWi61pZ2JuSGCF4J2E0Wh7kPiR0GijQUE7oQ4HW4AZH75coPMqJ12fRX+L7Bj+0TKc7+JjouyAL36pmMtuh0BaNJIiDeHtTVKhyQojDVoqmSJSmwCeR8rsYWXdLYWWDMAKatK3yIEVUYSW4L8F0soudzCTtv+uR0AUlXetIAExhxz5fCdEqQALoSo/vN1zcnBOGjhR7Uhjolp5L3xFj2L58xg5OVgpT1lTlLrYoiFoRorzgQFFPd6lmu6w2F/huCYOoFMjeJZ1RTWGIhSmJWiQs2krAS1FUGDXFDx0+DgxDj+vXNCkRk5MXV0r0yoqXPfm8CAjE/OhUuiCZiuh7dL5xBFHND8GixmhLIuF1iVICEHkvdUiFMYQQRRLlB1BB9rFHqojUDlEZSeiPicIauW5DL4MuCed7cI7Qt7LANBUeReiX2DgwdA0xdCgMFFOSigSMgFamIJqSYMQbSFJE70XdYuYUmUkqrVhJrDHSdpBqnItUBYL8ak1ZFPgQ6bo1In2MGG2pJjuEMCEoiTGaTGZM9hQhJrwTT7f3juh7uqFDd56y0ChdivzSaqZ2N/ecbyTAJykSssAkOZI1IvdPEIaevl/gizWKxOIiiILHllSTOfVsn2oyZ/ASQKhtJPiBFAObruF6cSnHLgWO9o852L2DMgfCshUmp+lvcK5naFt839K3C26WG6bzXUy5izeeqi4obCUBh9Zmi2mShYyCoijlXgyyMIphQKmAqSwmgtVgdESnIBaOpPAuEEOHthpCwoaAQrM3rzg9nnFyPCFeX/Llp1/wi0+/ZZMS80nB53/9GyZ3D/hnP/s+v/23n/Evmw4fI9W8JobIYt3wJ//+j/nB0T7rixVrM+PDR0+YGkuKhmHToWKkHXpOJjX7J6eYsuL8/ILPfvU5N+0aUxqadcu3r86pjWZntsfV5TWDc9TTGROlUEVJDI5ivsPk8ASjLCpCs7ihsRXV8TGqqvFK0w0tvllShoGT2S5VUqTVgmBL9u48xTGlHQLaJTbDhutNR+EHVHTsHRxShhofX1FWA6fPvsed41OqAP1mja4m3L13hxpFCk46YnsZrBdXK149f8NvPv+Ci2bDzuFdwpA4f/Ma53pWq2vSyQGPjh9ztHuIDQHX9gx9j+97Vssl102HK6aApJ8nL15cFwaG1LFzMKNdXYP2lDszTo7vsjeZgQvQO2JIROfZrFasl2tefnPOX33yKfYhDGGPPrWcvHfKncMjDg7uMK32CJtAt2q4enPFxfkFrevYtbukoFktLr/r9fn7z9/xZ7NcCDCYYmbt3FaCrvJgn4zkhBiltsF4MlPot4b9LLEPwtz9jj+asZZNmkRsXtSTboeCuE2+T0SftqC/KUpJBq9reabDNiAuOgm8FQbcSehqTkWPeYDVytzWLyXxl+uiyP5OAYrFIw8jUztKoE2utE2jCiDdBueN8u2UhzcJ2h8Z1tuBXWW/LCaPZWmUNCCM23Zg5tYHjQye3jn6rqFrW4aulQDhEG5/9jj8JTkhSht0Ifk4pqywVU3St0BHisJypSBsNXk/Ug4aRKkcVAVaW1mmbCXfJg9XWuTXb+1byucjOJFkR+/kWtoeJ7LsO233Ub73uP/iid960MfhUeXfNznwVmcGOWalhXPwN5h4bQyutVsvuZzODKqQL9woA3+Ib2UmBAksFI+/KFCDG7YVbLdBc2p73LcgyXgf6LfaH/LP2kI6mbZXOq8fR2AoD9yyB9J+MMr7E6DGn5FiFtXcqvTevgZiDiYjsQWSrLUoayFVGdQQEGOrVIhRpPveQwgEB16NKhlRCJpst7CZXTdGby+5+BZ4RErbfdJarDemKAQMNhaVybzgPN71hMFl20/cqk94C7QZmwH0CCyat7M3RhWBqIRirlpLGSxSxsi9hYJtxZ/MDdLGoaSxQZXMi8jOtGazaUlxoGsbnj8/4+xigQtgiordvT0OT07wSfP89RXOd6gkltj5bMKHP3jG/p5UYtfTOfW0JqVI164ZXCtq2zyoG2uJWaGwXC0YhoHFcsWLF6/p+p7jk2M6D5s+MNs9oBocTdPhvUPbgt2Tuxw/esZBtcPV2Tnrq9dUZYmd7mVAQc5JYaAsNNNSU+qEM5ZUzzH1jGgKIZucBFX3rVD6KquSonUM0xZVew6PTzi5d49itkef8w/q6YyiqrNlRebQfhi4OD/nzavXXF0tWW86iqoCoxmck+q6mwXlO3c5Ob7DZDqRnAyAFBkGx+uXr2iWK6rpTg7qlNyQKDc9Q9cwqyu6tsMNgeOTU+Y7uxhbCiC0BUUjzvVcXV3w7TfP+fM/+wVds0HHxN17pzx8/IjDkztiYwABt6On7xpev3zB3QcPmUxmxBi32SL/3z7fOeh//pt/w9C3Gc8lBydo8cdnVJUc0qXSWwmXKaG1XKwxCirth2F7kxE9uqixiwuKogJbossKrRJdt2LTLen6HpI8tL3LrHNOttTaUNcVNgaMKXDDDV2zhG4jfnHfkWKk2axJyWFshZnuUtYT8fI1Dba0NM2SznvqusCUNUVVAIbV4kq8wtGD9yLDVwrTr6nKWkIXdIW24Pqegoj2GqsUtp5RWKl9SVGyCYIyJKA0mtlsl6qqSFEJcpkiveswpsINLTrXafTtmuB7qGa0MeFcy9BuGIYGYwxD31BYSzk7wFaHDENHHFYihdEHaC2djWTlm7YVcfTLKURGVM0JpiAi6Z4WTecc0VRg5wRyd2NG0wPid1LDkB/SmqhAa6nbQxt80ujB44eG0C1JvgPf5woSn1+EYt1IALZEVSUoI0N9TOiyQOuSmDwpSY2ftSUakRG64CF02+vSqIA1JT4GTNICHIQe12/oFm8gCFCUooPoMbogabNdMKUcsGPNKBWrKcopEXB9iyknVEXJTj2jLyxts6Ca19Lhq0VtIddIgUJRVhX1/EA8WmGgb1dgxE+vopZaRR/xsZPAniTslCKiyhpjpf6mdz1du5EU1JSEqdaWEETBAR5dlJTFBN+1aGPkhnc99WRKMZvjh56hW6NQtO0NZemx5b54+4GyDKg4k5dsUHhkkeh6Yb1tTpQNQeSmhYnSEuE9MWcHBDTrxTXF6oaiLClsgY4CbBRFLeDddE7vd3HOsXAOf36GMpbKFtR1xbSasFNOSdUucUdC0ZwPOcBJMQSYOCcBfUa8n9YWYLSAFf1A3/U43YocTgG+w/kWpcjBJgYfE8E7eteSFJImbyuqoiIpaZAQq0Vgb6Z4/6Ri/eaMy9evOHfw0R/9nHe+es4vPv+Sw2en/PT9D1g8v+TLFxd0g6OeT6nLgsPjI2YHgR+885Bh43nx6hr9ZJfQDVx2C2zUrAfP3u4em5slZ6+e8+jxI/YPDnn32Tt8+9tvWK1WfPqr33K5XDE73iX0kVcvzvj2/JK9H/6U+XLNy09+hYmR/f1DVDXjwcP3wJbEoefsF/+GrtCoh+9Q13Pu7tfUZYVP0McA0WM3VwTXEWf7HJ8+wgeNCwkVPPsqURcFzvcMyyVudcNsHlGF4/TZe9y78w7GRYbVNUOITI8OqZUM4G4YwDnWqxWryyXPv3nFF1dnzJ/cwSw21Dt7tBfXvHn1LZvlNd3QcufOXfZshY2R5AL94GiXK77+9Vd8dXlB7wP7j+6z6Tbs2BrVD3gfYHC4MJBqSzIwPz7i4HCfIkqQKToxtL2EYrUd6+WGs28v+eUvfsMX59/ywYN7qFnFhx88YWd+RGVnWFMQu8TQO7rVipurBYuLC64XC9558C795YLQbL7r9fn7z9/x5/WXn6CTdIKPgxGZZZaBxOQ08czU25y7khfegAwhTrzS8o8wuspkpjBXeWlbZjXfW77brZdbFnWSIF9TlBLCp7TGu4FmvcC1m23oWvD9LfgffJY+Z3l6lqwn9Pb3i2rCZHcPW1W5Kq8lOJdD/fLoosbBQG/3d+vnVQpG5nwkV2WC2/5cnVkxm9WMopaTLJahz77ybAUYk+FHn3KKYdtSJP7nt330ClOUmLLeDtwqP6+FcBCWMkVJNhf5emYylZZ1ZQY1xp8Xg8+hfD6DB2HL9oYQUORjK6MDMSsx9BbcycqAbR/5WImWgRCltt3ypiq25/JWuXDLYJPVF6NXfYtfJBnqVYi3LPKYvL6VtL+VoZCBhjSCGKPnPINS2pisDBClolybAgpYa9BKlu7CqMdxxLhl4lWWvmuzHSCTTLwCAuWUe/hdRh4SOsi+qaRASc+9Sr97PFA5MF6NIMDb3vu38gNG1j/GDLxHIWHeam/Q+Zr9myqRlMbMiDzoZ5AtvnUdpreOndgpIq7vt9upBAXLx1UhIXlxu12jPUTue7FtFGUlDRvGUE6mqGlu6WAE4dJb5/9WDTHacmJKErY4ZmPkfIwRJJShMG23Sb11zqJS45KdfHDknlGGo1nN8axgs7rE+wGlElVVUxYFdx6c8uOf/pi9/V1uFiuuFyt65yXYWikmleX77z7g3Xfu4/qWq6trqukuJ90GHyLD0GFsQTWZ4pyjbRoOjo7YPTgmBc9ysWDTtHzy8ec8f/mS4+MjYoRXry9ZrlvuPX6MNYavP/uC1XKFKSv2T+5S7+wSyzk7bcubL7/g4PCE+uiUajqjKC2VVVRWoVOgNgmbEl1ZUU3mzE8eQDEDxlIJeT45HxiCnPeanv0ycvdoj+OTQ6rplN51NIsbynoi4arGio0nONpNw+XFGWevXrG8WaFQFIWhqkqcc1xdXdG3Mj8eHh4ym82w1uRzLevCr774ipcvXnK4v4dbreS+VwLAxuBQKRF8T1UYyqLgcH+Pur7tuE+j9SxF/OBYLRZ8+vFn/Nm//QUvXrzi6ZOHvPfB+9x9cJfpdCZNLVYU4GkQNv/q4pKXz5/z8PE77O7skhSsVjd/67vzOwf9oV9BkgoOZU1+YEsAnTGGcjIjAEPfklyfd1ijVRJENyaMLbGTmqKoSMjDIvQ9EEkaBgKhX2N9i57OCURBRrUi+kDoG2xRsjM/kMq9uiJEhet7Ns2SxdUZ3fqaYVgTfRQswMgLrJjU2OqI6WwPr410oXtPNRUUsK5rDiZzbCGDpguedn3DplnhujUaRVFM5OFHIMWW1WJBuzgnKfGWmKJg8J6+WaOVorAl5WxXkm0XbzDKMJ3uUu8cMiiDba5xtsBnH59PiGJiGAi+w62uid6RlHhp1+QXpYHkEyk5SdEPjhBLhugwxYS6nqF2jvHOo1LAqAjBM3Q9xmhpCKjmwtAqLX3uWlFonZPUewKKUhWU9ZxQTHAx4kKX5TUlaEvwDhV7NLlCTufQIWMhKZzvcc0S1y6Jw0pevdqQVIWyJWYyA+8wCorpLlFJkE/SmuQDKoilIwZH8n1+wTsBjKKDIIh+0gVRGTQbEkFqAHWVJ38NaHzowBq0Eb8xKS+Uksro8EAKsgiDSAqWqBTEFbdSs4BG0eqvBWzKiL3s9wRV7xOVySxKrnFxirC5QpmCcjKjKqSlQLrmTbZTSLXj4AcMCuMDpiwEJ3cdvR9IqkAnsIWi0obYram0JamEmcwJ0TN4yYgwhcjYhIGC6Dxde4Mbk4JJJDsh6AprJBBPwgUNxXQHojzE6nKCNhofJGyI4MF3JBwRTaEksDEkJS0DIWBSYDqtUMpQVoKc9huP6zagepara0iBar6HzlIliyIkR7CWtnekEClsC8oSo2cYemxZgi8Yhh6lpLUBIBUS5BecRZclpTaUuzuk2Q6d87SdIXgnXk9byII5RkpbUHoHhUfNdlBJJKHOCcNTFBVVPSGlEkvgvdOak9Rwdf6Gb6+v+eDnf8CJS/yXz3/B0x8+40fvvUu8bvn4Lz/lV8/POTg9oDQKQmC9bDi5t89MJX71Fx/z69eX/P333kNrw+e//JTrvuHo/iOamChczy/+zZ/zZ//2r3jv2VPuHhzw67/+DGUtn338JashUNaa/d1d2lVD4yPPvvczjqf7LM8vefXtZ4QEz/7pv0O9dyKMYdNx9fxL7t67w7yeMPQt176nsAV1OcXakqkyFKljo2G6e4KNCd/3RDQlCEDnWqzSmLLk5O5djg8c7zx+xL2DHfTgaRdXrK+vGXZ3Oar38G2PDzKAr84uef3mFVfthup4h3/09/4hRQ+f/Plv+Ozr37C6Sby+eMHek0M+/OhHzGyFjnko7zq6YeDVN2/48vwF+9+7x+OjB6wXHYubK3YOH4jc0jtUkAXNZLrDzu4uVeGYmBJSwPeD3OsRuk3HarHi+ZdvuGqWnC0uuB7WTE5nPHn6jOPJIeVkBzUk+lbyYNqmZ7lo+PLzr/n6m89Z/z9aTmtLeHXOWl9/1+vz95+/448yShRUItoGbtmyFAOESNLSrqKURjsn0vnMiI+soMrqNGstRVVnoOBWWq+tWH9kwS6qPhmYMgNY1CLPzZlDo7qs36xpVguGZi1KsPxzjFZoW+dub5MHsMyOG7sFJGSIk+EOreiaDd1mwTB0MvjKHgMynKaUWf1xKlAgMunb4zIOzOTBROb97HkuS8pJLT3NSuNjxPVilfH+1lYwDpOkt4COFLd95ykPKzpXL5uizGtFwxj8fst+ZhuiYsvK2bFj3uSQuHG7s8x73I4xTFCR8EGkySnluq48dI6d65K0kOi7nqFr6duW2HVb2bjOTUDGFphS8mhEan2bxi8Ley/heSEHPI7HJN4Oe+NIu1VZcLs9v5vBINdpzCx8ysy8ysOqGs9ukkIk+Tm89XP0W+qU27wFkaJnYGFMrjdFthFYUUxYYbmtsRhbSBNP/oyKkvH4gpKAwgxMSEWeACk6gx7jsL/VLG/H83xJjrgPtyn04zWYtljVCFKJenUMpNOjjWEED/IFrtJon4m/02qRMkvOVlGQbsG0XAk4hg+O52HsJ9xmDOSfEkIgdi2u77aBfbIPI2AzKmluGz/U+L3GexqFMpJxlYy53VatiVGTkoGxOnPbiKCFfDLqFqDShq1qJ0VOd0p2rEcNntpoJrMJTTdwcLjPT3/2Iw6PD3DDwMe//ZSPP/mClER1q4jM6oL7d0/QCr7++huurhe8/4MPCTGwXN6wWtww391HG8t60/Dnf/ZntE3DRz/6CbPZnN/8+jfc3KwY3LegEnfunFJPpzx/9VuaIfLjP/oZ89091o2j6T/HlBUHJ6cUVY0DCqNpV0vwPbNpTTGpMAZKqyhHJaWJGC9nwhY1SdttSn/IwFDIQFGIoFJkr0o8OJxwcjinsJqhWXP25pyQFLsHR9iigJRk/XNxweW5+N2PDg64e/c+rncY/ZzFquPb56959fqc46N9Pvrh99jZ3aUoLKSIc46m2fDZJ5/y5tUZDx4+5N6du5xdXNN3HeV0V+6AlBiGjuAc89mMvf196qoC1BboEdBRsmWWixtevXxB33f4IBXoH370IU/ff5+yrsQ1o7VYeWLEDz2b1ZLf/OY3fP7Z55RVTVnKM+/qzau/9d35nYN+dfIYkxJWGyb1XGTnOZ5DJfFW31y/hr5DFQU2V5URvYSH1XPq6YS6nqCNdFaHEOm6ltJI3UzwA9bWRGPwg8O5Hh8HnHeUxjKtpsx29iirKaHZsFguGYIMs7qspJu2rhmCY+gFIS3rirKw1LZA2QrnAxOVSNYQS7m5Sl0yrWegDX3fsWluuHzzFTYlYq7kM9XOlu2OYaBtW/GsENEKSq0FPdYFxXQfFPh+Q3/5HFwHyuK1olmco66+RWtNjOo2aEUZoraYcoqyJSEkTDFDT0pA+jRtWUnlWL8mxYbkEyTpE0cXAmAET+zX6BDxyRBHFiEOeaBMbNqWpN9I6EiM8nIcHyS2zt2iUWRw8vjPyOlAFwPKViK7j05eOMmQNBDZ+pAiiRgdIq2tqfYfYgthRjqXtgucwhpUEGYmhA7XXIucLgJhuJXuJS8PxPxQVLrIMLLGlFOKWqwXBIfkJ6St7EopjdWWMKyJwwYVevk+2uTXRszBRwqVQSgArSyp0JAUOgaSb0lJUnIjEXyuDjIWP2zQQyf5BPUcrWticPReoVWQxaJzGB0YumvalDAqysvX1JmxSFLvqCE0TiqPtKYqxNfvQk/oN4ShQVnJI7BGY9KVDN+6JLggQJSWqr6YItJRDEHXmTkqcq5GTVIQh46oDCEFvO9QKUoFUlkwq2fYcg5R7Chto0jOkBAfZoyRqogweFwcCEmRmDArJ5TlDFVMqIrAED0hjQFXInkzKsIODCFSpYQ1ljj0tMOGPhYY5UnJk7Q8tKfTXVI9I2IoqimmrNC+B+8oS4spSlAChASgrmr2Z1MBO1Jk3bfgHSl56Y8vShkVtKbvG3wMEsCkwJYGbSeIFmngbh1ZvvyaVej4yR/9nL1k+PgXv+Bcwf/y++/RvbnizYtL/vSr12yUokTRt70smvoVTx8f8sVvvmTYnfHTx3d48s5j9g6PufP0CUXfc+/ufUqtIUYePHuP//T/8p/z//qz33K0O2W1CaihpR08xw/v8N47DzndP+Cv/+Vf4sua03tPUYuG3b1DVstdyuNT7rzzIbN6h1gmXNsQ/EBVVhzvnci51ePAozChQ19+hXKXTMqSLnjwDlsYiCpLDEVlMmxWxMFR7U3Z26uY1YroPM2bC86ff82Fc9x/9C5WWeLQsry8YLFacr1YovYKHj55yMnRKXXQLK+v6ZuW9eqSV68v6WPHH/7Tf8o7p/eplMX7lpvrGy7enOFj4OX1BT/6xz/hzv4pcRVpztf03TozHZBCpFsuccqxM5/mfIaAHiXTMeBdT7do+eqL51w3a4YSHjy8z/PPX/C9RxX/+I//IXd27zExNb4dGJxn6OR9cnO+5uz1DV989iWrocG8ecN//9/+cx7cO+Z0Un/X6/P3n7/jz8mTJ2xlXCRUltCHXI8WQ8SFcfDP6xREZm6MsDZVVWErGeyKqgYUXdfTtx1dK5kmRV1jTIF3nqHthEAw2Reaw7huB8mW5G6HQGKQFOWiAJ3ZSmtkwZlr3US9HW+HpG1doADFfd/Sdw1u6IhBVE3yfuOWjWQc9MfBKXPOMcFYM+dd9mwLwTGGtb3NQJJlyNpYUmaA9bifWv7MGNH7yc9KW2Z17H4fraExRpHKh7gdrlKWEyTI2ybbqDJYIINhti4YYTVR46Anr/sQ0xZUIEmnuPNelHQx5IyFhBnBAuRrZAjOoXvaUM/n2GJ/Wy9nzG3bQAwBPwwMTYv3ErwXgyf6cMu2j5Lvt2T720ExD4ujtH0cgkeWfGSkt00Qo9efvJOY3xmYVR62VWbDt5NzDosjjIy4IipIRhSVKkZRTYZA0B6cQbsepcaAP5M76LP6dgsUvTUkx5HlzyoGtnP6FrNQmWG9HfDT7TnO4BApMbYr6Kxu0PqthiNjt13q4/Edh3bFWIk3SuTJClUtjHcBNo0WmjGJP29bRhvG/STbKBj3L42y+NvDOm4vpO29qcZfM+YVpNtz/Tu4Qf5eUSQTAthZtlWL+c+2zH7MKf7p7WrDnIU0AmPZzopSBKUoU+R4WrCjO2yhsFVFPalou57pdMLxwQ7t8obffvwZf/qnf8am7VDaYnLQXe8i3744Yzqb0HUNB8enPHr6HpOdA5brhqKesnd4h8lsl3p2yJOna/6b//q/5uuv/u+EwbNYbPA+oLXh4aP7PHr4gCEmusGjbcXO/hHFdMZkb5+iqqlmu9x/9A7eTlhuWlxR4INkXty5c4ypaggDKnkskWGzpjRAtveGEHBdR9C350Lu64j3kYBikjoenFju7RkqHehWN7x88YqbTc+TD75PVdVE79k0Cy7evGK1WDLf2WX/8IjZbAdQrFcrZnXNF1885+uX5/je8Q/+0R/y9MlDyqLIKvOOs9ev+PKLLzHG8sOPPmL/6FgsrW8u6JoNs72AysqBoe/RWrOzs0NhiwyU5WsvV24O7Ybzs9e8+PZbJrMp7777DpdXV+zuTPnhRx8y3dnJ5KTktYScG7Fe3vD1l1/xq1/+hpubJV98+gmzacm9B/cJ/v/HML5Hj56iovjGg3NEJV6wEAJ9P2C15fj0EVab3JGtpbs5RgrAFhNckACoFMTL33UbuqblYn3D0CyZ1jU7B3eYHZ8yqSa0Q0fbrCm1obIFpq7ZdD2vL88J7VrkWylSl9W2siXZQrbNVpiipsovcVtURKAoFHhP8o6JLdFFydC3XL3+ilWuM4tKPOrW1lKnEz2+WZBipHd99qZZUDGj8DlIzmePeRyIXroxUwriIdaFDA5FIA4aVUwoipqEDBS6KElKXlZVThX1UWr+rDVYI+Fw8lKroIyCCgafH/QRfMgVDC3G9hTTQ4rdI5Ius6/LgesJcSANK/GGaI8AZzEz9SXFdIeqmuC9R6dEMSaaGgEnkrIMzuNcj0oOZSq0KSXlXyV0dOhCKmi0Hnt1JSDGdQ1lVUN0KO+JmxWByNB1uG4tg51SqKS2ISRbFBhAl6CshPdokdYnYwhug9aVLH68R14BDhV6CarLyoikFKreAV2idLldpCldZquDQpUzGZTHUKEMS8dB1A4qOlJyWcaps60gkHQBykp1ilqTtMbqOVVZyQPce1rf430PMRJ9J92/GSFX22dAkO2p9pjO9qmqKb0bMGkHW+2B6ynrHVzforVUKUYlII8tBHgSKWSJ0jYnyXZU1UwQ/KKQkJ4sPYy2wg8Nzvd03Q06eQqjiP0cv5lTVnO0nUqtmjKoYoehWWF1wWw+k1aIAM7LIsbkIJrOedKwISot8leg7zbZewoEebmZ5NClRVcTbF1Qz0/R2kqSvxuwphYJqNE450gJhmZFXC8xhVQ5peixKVEVBckqfIjCSvkOHQMRjdJQWIVSJTH3pIMMB2Bw3YZ+uEZbQ1kolKrQKI7mmtOiIg6R7330EXWInD1/yS8+fU7Y3ePOzi4Xv/2YP//NF6yV4vF777NZ3jCZTVmcv2Z5uWLRtRy++wPeOz7g/Lrh9PSU0LRMd+fsVifCqk+n6Bj4+T/4Odpavnr+nE8//oKbjWfXalYbz87hlDt3D2k/e8MnX37D0eP3WF5ccf75Z7i+weZF9fOP/wowFNqg+gZTFlx8/Slnz75kUtSYJAsP33bUYc1B2TAMLev1gnWXiH0hwYfGopJHaUVdTRlWDd3Q8vCe5enxnFonuotrXn3xOc/fPCc+eYd36xmu62huLrleLjhfXbL/4IQnjx6zZya4vqdZrxmGgeWy5dXrS9ZNQ7FX8cP334U+sO4WbNYLNm3Lql3BfsXf+5Ofs1/tE/rEzeoCnRxDsxJ8UklVUBg6lI5MSoNKPTrJIDB0LT56msslNzcLVrFhcm/KD955RNUWfH5yj+P3Cu7v38VGS3ADbbvBuUTftCwvV3z+xRu+efGSN8tzeuOZzCpenJ1z5/4JUf0+jO9/ys9sb48wyqcV6DwobWeglHAxZTBbhq7CGsoy15Yh4J8bPMPQsV6tcS4w9B2ud8QUKScTislUwOuQ8qBIthDpvGAf5N3gA7g8PHPL7iYQm5aRAdoUwp6P1gClcwZ6tsRF7/DdRmp5h54YvQBZ20GUW3YeYX8zx3krGx+l7mGsehs9xRpdVqiy5DYYTf6+yvY1Y3Lqe66TU9owFvxt5e3ZZx1iyE0AXoayeFtLl5JCKS8NKHoERWxO4H9rgM0bHVPc7sUY/qWVAm223fHG5OT5LIuWDAVFFcVqF5MMkWiVq5oN1uYcAa2lMSmDD6PkOiZhbr1327C/4J2scb2TNWZO7982A4znN73F0o9W1VFsnV/mKU9rb1cEjpYDxraBDK7o4lYBMQIswnILsJML3/L3y+c5kx9bVYFM2LfXispZFON5zBdlCqJei/FWOr/18I/31Xg/5WOPVuiioKwrTFFQFrcByjKwbk0N2+Myql/U9viAyRWO22o6dWsXUTFtFROM/v3M5m9Z8m3jg94qGlASume02R7zrVwfbjMpxvT6HGQ41rptb9Y8uIsaWcgenQP7rNYCQGlDxldkXf0WGDI+hFIKxKS24KLKvu4x50GTQacxYZ5EiCZXNEu+gs/3sEqIycVavNac1I5705K5jRA1ScFm0/LJp99QlIbkey5eXvDlp59itebddx4RlWUYHIvlmsViwWLVcHj6gKPTI45OTjk8vY/Whr2jwMGJZrazv30+fO8HP+TmZkEYOl5/+5zPP/2crncYlTjY32V3Z8arqyW9h2RKXp1dsWlfcHV+QZFrAq8ubzi7/IpEwmqNjZ7F+WsW56+wVc366oxSw3xa0S3OMfszjFIE1+GSolcXBFXmW0tvr+eYICrD3Wng4d6E2ni6ZsPXXz3n+bcveOf7HzGd7+K8Y+iWXF1eEpzj/qPHzHf2tiy/d4G+63n16jVffPEVz8+umM8mfP/9J5ACbbvBDz2XZ2+4urzk3r373HnwkKKaklAM7YboOjarBUf3MhGYIq5vmU1qJnWVgSwB/MRH72jXKy7evOTy4pz9/X3uP3qE1oaDvV3unZ5wdHSIzQCRPD4CQ9twc3XFm9dnfPPV19zcLKTCMAYWV5ecHB9Rln878fCdg37wHt9LD6vRGmOlf7lQitLaLSJqTEFpCoqiYN13rNsOv17JzWgVIYHPISFGaex0yv2jA5EdaAPK0G5WXF6+xHUbSltRHByibEnEMcSBSWmhOhJ23RjqopRBQpeY/FKRB8XtwzS0HX27JHQrQbeVZoWhHxp8v4bCMp0dUNczrFI471kvzknB4foNVttsW7CociaDfLsC16GM+INVimgMKQ/w6BKtSjApD6AdhF6CdlSJUYZEgNTndFSDItFuViQ/YFSJnc8JqWRoJYGclPChR+WAPaUs2oq3TdW72fcu0vDpZI7RJd51wtRSUxbHYAp652iW1+jYi38vI+62nErKv+uJriUl8EMgJY9RIteypmBS1NSVIWKY1hMZ6ugpdUFU4pXWIEFD/QDmNq1+aFcE34Jr5eWXa+zG561w61l+mZSg/IBSJdgaXdSoYkIKWYo7tEQC+FX+2uzvQ17oKiWwFamYo22VXxQSHlcWVVYxyA2PSXmAT7cvZIUk1SvZ3xCFaQ5BrASKIMGDNofVJUnHtVpjTQ0k+qHFKIWZ7hNCxOLlXhg2eWEkWQkxRoqioJrsUNka30uoUWES86pivWnp+w1DcyWstDZobVH1HGsqNLK4SW5A01LYKX3IYI5rUWHANx7nWlLoJSE2BVzfEmKP1glbTXAhMKyWmBqsC1jbSUMFirKocT7gCXg/UNZTUlTMyhKSZ9M1OAxFOUHbChBkc8ipr10IFEr8m95F2qgovGZiNAWRMjlKI7Ja5Tu86xg6JLxTW/Bi6RhCZNMN6KJmp55T1ZZKJ7lGi1I65YEBRaEt62ZBaaEWu6rU+XkJ8SrKAm3mqEbT9z19N2CNqIL0vMZEzb1Hjyk9rK6XfPHlK/76xSU/fnSXiy++5q8++YaDp/f4ufP86D/4X9FeXKAqxdTO+D/+H/5TPvrxI3549w6riwXV6QMKXYDqOTg8pG8cRVWjXODm+pLrxQodAt97+oDSFtz8q7+WfAcf2Z1N2bw654vXZ2y8Z3ZwwvXqkr69xFYKiMyfvMtQlKQIG++x1mLrKeuX3/L5p79kundICoGT/V3+4IP7qIsbri7XxL4j+UDXbdiYG1Q1haGlbxuKScU8StVROat5/HCHqlmxWl5x8fIFwWrKOwc8+Z4M6jfNmtX6Bj9RvPvsh9zdPcaEhGs6ms2a5mbJ5bev+ebbF5zfLOidp57VWGVoFguuX51zvbpmfveAd370HpOyYn/niLQJrFdL+mbNZnFF36+ISMVZGhzn56+YHu9RIMOOcw4SLK5uGNLAxatzlrHh/Z8+43T/DrFRXL25whWJ7z25S5UMfbMmek8/tHRtYLPsOV+v2Hu2x7Na86u//CW7RzMKU0CIFJOCaTn9rtfn7z9/x5/Ner1dXCvSNi1/lNQrY0SaXMrAB8Iyd8PAsJTKphSyQixFjC0o65pqMkFrS1mJJN/HQN90OUBVY0qzHVTG4TShcrJ6IZYuJX92WwGW07ZJOYxvwHcNQx4k3/bvjqnpKTiRspclWJsHslu5/BiuN05jaTvo3/rHR3ZRPr/LPovkevyaW7Y0KojB41JCDb0M6oBC3zKdbzGf2wHfvz2UadnvnEpuy4qymlDUlUjplcrD5bh4jbzttY65tUDBW8PdOODmqsBwGy4ox0XsZVFDCtnLrRXOm+zGkK8PMUiPeZA095hzB8j5ArdAxfi9b4/zODhuj0kGI2LK8nxuAYgUUw61zcNzHG0T8v201ltrQ1HX2HqCLSt0Dt4dA97YnkK5xkf/wxiyOJ7z27/3dqDi36wmVON/JYRRqdsBH7FAjL+nQEJOyZLvbAlIeRAeVQ993+O8IwR3ux1KZRBLb8+j1mkrw883I9HHfD5ym4EXC4PKtZA6H9NRUTJaW7QeA9jM1gIz2mC2Soh8beuUbtsbxvsCSOMKMY7A3HgAt3AKUSmsUlJDqOIt8z8COkqIHlG65JDqLN8f6zlNDlgeAY2UmdyAhAsGL+Sn1ioDAhpNbv8IiiErlZKW9PuKyE9PS97diVjn6H1gvdzw1atrPv7sOY8fntKs1hQm8c6ju7z7wQc8+/An1LMZKSUuL674N//6T0nA3fsP8DGiTI0y0pQmzSMa18u5jcHjnIRUPnn6jPt373F+do6/vMrKT7EZPH9zxartqecHtD5x9uaSbgjY6R6T/SN8TNxcXVLXNWYyQaVEc3XO13/9CwYfUa7lj/7w59w53edlf4lxrTwb+w0xgGeFi6KuldDmQixB2mCJPNyzHFSBvml48fwFz1+85uTuXe48uE9MgXbV0HYd1WTCzuld6slM1gxJCNC+a3n96jVff/E1VxdXdJsV771zh6qIvHn5NX3f02waptM5T979gN2DI7QpsoIp0C6FBFwvroRQJYO2bmAyqWRu81KdGGLAdS3LqwuuLs7x3vPwyVN29/cprKXrOoIP3H92X9SowedbRtbpl+evubm+Yb4z4/jkiJ35FGsLducTwiBNG3Zq/tZ353cO+hevXghqrUR6olTCaEtpLWU9wxcWq4A0cNF2RCedo0kXVJWcGAyUSL2TKSq0LUhB0pivXr+ma1fE6KTyaTpn//gpVTUBW6GAYWjZMQF8pChK4Wz7DV3T0IUVXbNE52FbK/Ap0PeNDIRKb71cu3tHYivQhlrvSmBe0sQYubl+TX/9BpUkyEVCxGbooiSEgTC0pGZ1u8jQhSS/11NSygFwwUs9nc4nKUjYVcpDqCSRiwxH24qinmHrGcErkdq5AasTVTXF2opA9nqQJMVdSTWEzT2NUQmKZ62lnMzwLoJv6K4WDF3D4FuSH1Ba+jtJ4nVzPqBIKK0lfR1RYRiSDLLOoRRbTwxZosf2QSsP8lWKJGNRRpQcSWuUrdBGlBYxo9jGGlKh0bYSxtzU8t6KLj+QNSkaGdOTkqR3O0PbGcoU8tIxJm+/wwcnUqzJHsp70AMxeVT0eRsmGFVgTIkuKlRRUFipBZzaShYz2lBqg3fiPa8K6dcMvgOTiEEzeIcOHmtKAi6/RBVJW0IhuQSkhNUWkxTVtJJwRKNxQdQALsxwQ0voWlLyDMMaExx+6LJ8sIAkVY6+awhdR2/Eox68KCFUUaLLKabeoTRHBHRuskgSTJcSbujZXN8QfUvSChUkJT0GT3Kd6BfyeRNU22X2xAKCopuuwpRTkirwqxaPzmyKKFgwVhZ5uqSuJuzvzlitO26aBS4MlEXJpK4pi1pUIUZtw0hSiBzWFQ5LSJqZ0uLD71qCbxiGnjYEFkmDLUgJqqLCVDW6MGKj0VnRocD3DUPT4NqW5aCYlpZJmb2wriG1MsBe92sGt6FVsDGWqpowme1hy5q6mOCTxkYoqh2c97jgMVZz93jCf/yzO9yLLyhjw+rsDZ998g2//volLgZWZ+f8izevefTDp/zweI8vrx13D+aUswnPX33BdDrlf/u/+U+4efUJl89f86d/9SVP/2jO8uyM3b1dSJFyUhJ9z5urK6rdfR4cHvHi21fUOxN+/gc/5Vd//hmD7/ABmq5nKAs2yzWdKXny9Ac8vPsuq77B1wM7OrL34c+p6h2i6xm6jn69IE1nvD5/xbSqmE13qXcn/Cf/sx/xwQT+y//sN4S+5ebqgnYYSCdP8cqwullQ1CWTnTnKR1zvKIbIyZ2aZzuG8OaMV19/zpKB/YcP+PDR9zC6pm0abtZL6qN9Ht25y7yoqJKi6zc0mxVt23F9veLlm5ccHyguf33F7ukh/+Cf/D32zYTF1Q1nqxv2Hx5z/8E9Tg/uYHwkNo7Nes1msaDtllgbufz6My4efMBuuU/oO5ISm1fyDu883WrNpl3RdS3BOg4eHfDk4DE7kwP0oOibgcXVNdWO4c58jms6+nagWW/YrJc0Q6TXjsNHO9w5uc+Zv2Faz7ETeRb12cfcF8V3vT5///k7/qyurmRoyIvvbXDX6GPVWX2U/2wcCMfQOVsUmEqUckrLMGG0ZRgGXDfQNQ192zK0LaCopzOm8zlVPcXmrmKd564YxROsYiJ6WRj3vce1PY0T/6V3bts8kkIOW1UCEBRVjbUFRV2jJhNhnoMjDBIa6ftu2wE/Mo+3g/7IwpJR8rfkxJnNJQ86Iws8bi9Zf520EAa2rCjLEltV21C1lBIxvA0cvBWupra/upX/Z7ZN5TTsUbYfQpAFrHN4L0F6ISsAxjC8kQG/VUKP/5Z/zghiZKkz6e1dHs/7bZWiyoDPyBzf1uspCl1I9fMYjBaCMPh522II44Sa9+3WQ66MhNqN/e+5x0iuMTk5txJu2DKjKm+DKeRnm0Kq98ZjvQUYMiv/O0BNPlfjPost8RZ8UFmWrpUW0EmN3fI5BBC9vVdSjGJDCFHUC1m1IGGGoq6IueEoRAEYwpjsn5KsJWIURYU1KGskA0fd5hFIppGoGGPq8THKOtxLZV3yg4RRjt8r769Kb2VIjABFJgDHwU7psaowg0lFiSmqbbbC2y0CabxOx2vBmG2GQdIKY8esgwwFRLZro0zVb+shyedXjQrF0mzzkMYGCrlkBNTbGkPdQIgiu3ZuwPW5Qcb57fprfCbZUtaOxugMkuUmrxA5MoE/ebzDP32k2U9X9F7eh19++4bPX99w0/TsrjYsrm84PJxhFJRVxd6hJNunEKgenPLHf/wPeP3mnBdff81nn37C03ff49/5k39KOZlhiwqtwFhDmQpilO3a2ZlT1TWFNhRFQWENLkSM0aw2HX/xy0/ohsTDpw85efSU3guwM5lOuf/OM+7cf8x6iNIypRS6muZrInDn5JgPnj3iD370AbFvaa93uD57SbO6JnSO4mAXVZaEPuDcgNayffkJxV4N93Y0frPk+vINi5slj5894/TBA5Ix8uwNkdl8j+l8h6KoROETPMHL/Nk2G1Jw1HVN1/VoBe+9+5hJZXBDS7teM9/d5+Hjp0zn+znLTVSEm+WSV8+/EaXiZk27uqGczES13qzRSoZ+kuRFtZs1N5fnuL5jvrPDfHefejLJABFsNg3WGE5OjuQ94AeiD2yaDcuba4IfePjOO+zuHzEExXw2obAFVVnR9wNd1zHf2/tb353fOehvVpeCdflISA5QGF3h6ik36yVxaPFdg04KW9ZEJSd19/Aek+kO6OytUIrgPP16wWq9oltfUZSW+XyX47sPqaYzpuWEpC191zD0Hf1yQd+uUES6VoIxQkxs1gtU8lKZUFUkY3CqlJTMwkLvmc93qOuaVJTCpCaN1VK9lXJlR68S682a9fU5cWiklicCRHz00N1AKy/VbT9hlpAppSEO+M1ATI6oC3RRo+uKlDQqjFI3jyJhy1qSdHd20aak1AWKQBx6Fs05rl0Shp5AwimFLSckZWg3C4JvUcpgyzna1nQqZX9TRVS5RrBZEfUYamegrLHVLEvRBvooDx0dE6qQarIUHSpJDZZ3PS7KMJuUIWvbUCpJiqSWgR5yoq0WxkQVE1ICbTRFVUuFXZSguaqeCqMeBfiIKGxRy6CulHz/rSouiW89KwOsrfJLqcf7Lnub8vVX7WCMlkAbbVDlPsZUWG3QZZ2TkgWAKvPKLKZA8INcg90KjcfHQTCM5OmahMIw9GtQFkKUF4mW6hWtC5IxubKloCynGKNQWFwIhOBo1h3Jd/jQEZOk4iYSPpGvuUiIkjmg7BRjDBHQyUjqu50SEFmoGzpJea33sNUUraAwkhrvNud4t6ELPSFFlLKgS6IuKOodiAOJgA8N3m3Enz4uEpSS/cPmYJuwZbcCvTAGUliHT4ApUaaQikIGSBFb10zmU9YXL1lvlnJ8MaxXLZvM/JuigKBo+1YAB9dg65rpzgnF9ICinFIWlnJWEqnw0WNMLcxWTk+ui0rukRBYXZ9lhkbAxmk1IemEHwJ927MMDpM8hYHgO1brK2EKkiwsrC1ItkK1LXXfYHXBpN4RaVyCsizEwx4D9052+V//wyc8qwe61wOry2uef/mCi0LxD/7oIy7O/iWff/2G/+g//EN+fLrL+ZcvccdPKG2BCTCdHtB1Gw7vnMD6hD//i9/y6dkVn/1X/x2vXl3wP/9n/0SyQ1TC9T37pyfszXdRfc/+7oyjO6esv3ojg0GM9M5z5+SEeLbiX/wPv8Cbgnk5xXcdIWqaPlLO9knrFcen73Dz5SfEoWGuNM9XC3zwDGGg1pE/+v4xHx5UfP2XH9MMPaFr+ctf/DX3P3iHg9JS7xwwqzpZ/IVIGAYM0vhwcrCHPnvF61ff4PYqPnj2PrvVLlU54eK6py0MR4/uc3pwxKysCE1H0y4ZsuUrBXlhv/Noj3lYsTi7Qh/t8OTBHVI/4Gzi3Z9+yOHOLoXSqEGsPUPXsVosOT+/oqg8oe1BX/Bv/5v/nA///j+jiAVRRbQu6TYtbbehuV5w1d5QzisePnzAzFSi+nLQtz3tas3VxQXFNKE6z017SbNec3G+YK0a7j25w+O7D9gpD3BrxdXLG7yOTMsakqbf9AQNKdyOJ7///P//s1mu0CpJkFgewHSWUAMkpSUvJAlbZouCyXRKNcmp+NmOFWIkDJ4YWqL3tKs1YXAiXbeGw8ND9g4OmU4neB/YbBqaxbUs1Aepe/R97iwPwlLbqkZZ8RyP6ej1pETryTbDRthHRJpe5P50pXOFmMcPPY0Pot7qW6IbxEo2Du2Mg2Rej6gxWVy/NWzL979l88nDmQxCY1idKaW/fuyMBhicIziP6zuGvt8CJWoEFdLIkrL9/vIzpRpN+rFNblNLwqJ7l/dhlFTnrzNWGFOETBAwJN6CGym+BeTcghq3nvjRuy3DrFLbaViIDLItYmxo0OPfzay81WijiEaG5ODDlkVL47VlxgBGsw1sVKOaIq9dRrXBOJ+PtWqSli/BijqndseYVQiZ2BkD/7aNANtwubeUEtwCBtt/V2Q2+DZd31j7u+d9u2R9S+URE4SxdjFulRljC0JMIxcvDUtvD82/ew1LUHRCABMySCCBxjlfKVs7CIOsCXOulhrP7Xg+VZZ4jGDPeExjJClR58q5zo0a2qC0A9Oj9WbbLCDHJ5+beJt9MDLmI8EvqgpLOanzc6HMuQUGrUT2p/J1rkbggkRMipQ0CS1rOT8qP+I2+yIGv50vYv736GXfR6AkieQApRRDBqaMLbBFhbIGW9UU0xpjC3aLxP/inT3+yZOaaVjhN4mudZxdLNn0nsPDPY5Pdikqiw/SjtB3A/W+ls53rQkZnNnd22W1WvPZbz/l/MUrFpfCtP/sj/6hZJWkiFa55hCFD57pbEZRWM4vL1itNxngDBLW91e/4S9/+Qk7x/c5unMHpRJ9t2G1uKJZ3zDb22f34BjnetrVkqFt5BmHZjqb8eEPv887948gDDSbFU2z4eL8nMvXLyine9y5P0ft7KNsT0qSjq+znaSwmuOpQbmeN1cX2BR5/wffY3ZwhEfTDQ6MZTrfZzLfxZgiP7FyoJ93GXzpKIxid3fKEAPTnQlPntxnOpuAmnL3wWPmuwfYspZsCa3p3cDi8pwXX33GMqsVri5e8xd/+j/y7P3vUZSltKVpIWOHvmO1uGazWjKpa05OH1PW02xllTBh7zznr98wm00oi5J+s2G5uGaxWOJDYG9vl5MHD5jt7qN0yXrT5vtNLEjODWyahuPveHd+56CvXe55zQ8dU9aUkxnJWHRUYGbU9RwzqdFGUZqC/ekOGMvVckHoOyb1VHz7KVEWFbtHJ9w9vYcuaxQKm2+u5fKG5fKafr2i7TeMQSVKK6yxIrsD6umE3fkOe8enLNuB5vIGpaA0FUZZUqlRONrFJTEmTDlFT2aYciJsXN8RBwktsLZicviAbrXAKE3UKveIDZL0PjRE16H07YAvw1tAhw5b1BgzZ7q7TzXZZXARtFSsCRNtgciklHReN/Qsrt5wtb4RlNiWRKVJZoI3gN+A93R9IwOUSvlnRtywwsRBJEM5kVIrQR6bLpDiiGynHIhWg2+xRMx0B4oJBs3/h73/6rUsSdM0scfUEnvvo4XrcA+VGZFZmZVZImuq0TXT3ZgmmhgS4E/gDyN4QfCCADHAzA2HILpnelp3V1VXZVZWqpCu/egtlzLFC7O1z4lqVvAmyatcgId7uJ+zzxK2zOx7v1fE4HHBJbMZ24MIMFjGVTL4gMTnybFAiTJvIgTEVMTjhhTDNqSkgYjCrsIWbYaA3RgQBVEkLXQMkehahIjIYgLlFKVqpFTbOBwlUsdECU9kQGgoilli10uBjMnAUElBoQQejRRQSg3RonxH1y6S5tI3rPoeT0ICh75DCYmqZ+hyN232ukWScIiwfWbI5JAf+oEgDdYOBG/zYl8AAlOVTGaHaFUmfZkA7yIuSBBVYnUIhVSGIgaEjnmTkLo5W4ogApTCDw5VaHzfokNE1ztY26cISlMwdD1Nv8ENK3x/A0MDwm8ZKEKXSF3SDxvo1wlpLxLgEWOKZkEahNQJyCEm0x5T5Q1Wn85PaYSZENUkUVJNTfB91sLmbHS74eztV6SoQo/M5nspl1YxeJsAjyzZSMY4Kpn3Ly9R60uWQqNlSVFWaAWTsqSqdvCqZDAVAwLnGgop0WWZkjaiwzqLlBobAkZHmE1xncYPfXIxVTCtZ8z2T7G2Q4gstcDgZYHRFToGQujxAlwYN4gaiWS2W/Hf/fEHPGTN6uKcxesXvH73lurxE/7rRw+4+tvf8Op8ycd/+BHf3avYXF7x+btr5MGTLVWzKAqm1Q6D7SkPjyhOT3gaI1++vOEv/91fsjub8gd//PtMqilqMmF/dxcxDLx58ZKL+ZwPPv2AX79+R+sGnHdEGfnFX/2Snzcdn19cUD98D1nV9EKiH35M/+YzlleXmF/8Bd958iF/9e//OWeXr5hNapabBUJr7j1+n4/vH/HjBwf87K9fcvbigvl8wS9++RmvL6949N1nHJjApLbclBPmnWO5WeGjSq6xheTpQYFvXlGe7vDB0ydMzZShdfTzJevNwP6nH3C6t08cekJsk/Ri6Bn6jmDh5t2cl2/e8MGJodm0CK356JPHPN3fhcrw+NEHlFIxKyuiCwRnGYaBtmlZXC54e37Jk/d38c6io2b5+jX/wxf/J/70n/zv2a0FrhvwQ8fVxRmylrz/4cfUomAyqdFeZjfxnq5Zs7i44fX5Fcff36Ndrrh+e8a8XVAcTPj4w0fcP3iPSk7o20C/7vnil19hjUdLk7whXOTXP/uS+g+++23L5++O3/IRfZJHpSTf3LEVKmtoMwCdu5omF7Jj9zQVfVkfnc3dtNaoomAymVJVFbPdPdqmYegHFssl716/YegabD/gnbulYIuYEmuqkqKcoooqZcLnOd6HmLvXDgI461IxC6AUpqwRJlF+tx1sIZGqwFRTqgimniY9cZ5HQ46WS3HFfkuDJ5K9a/Q2j96UKQt7W9RmzfuWWp3ZAc4Oyadg6HMMYGIdhJwZPlK6R/rAbRl4W7RvzfOUTo7vWZc/dtlNWW2d1OU3CtAMWIyFWabip2z7BHp4l1lpPnyjg5+YswH87d+NBn750//OwIm3xSWwpXpnhqLUydRV5zUzNVLGDvGtxCEV0WPXOe+3xK1LOiRtdghjjJzH9h2+SV3EsTvOyMqA7V7gtlj0W4CFeMt02Hbo71ybyKDSKJWQYyE8Xt+dIxXpOgFSKrm7I0Smsd9hJsAWmInE7fVLpXJ6RaDreoauwds+ZXd7d8cQb+RjjAV9GlOJXDDeR5nK6JEkskVxBIn9mlIDEGlMjbR9odR2TIYcuxecT747d8bR1kBPjr/uRDrmf+sKk9gARbGN31QqRYePII02RUplkJooNRGZWKdxfGfzrlncjjEyeOJ92DJ5CLfPVESIwudxm16f0RgxkPYkfhjAdjy7P+XHT2bUNNi2oV1uuLm8IYbIRx8+ZRCCF+dXHO3vUFepqblcbZgc50SKzE5JKWQFp6en3Lt3wuuvnzOs1/zlv/6XCCI/+tN/iNA66ciz+aeInkldUVcVfW/peksM6VzniyWvr9/RND3lYJnNZpzeO6ZdPuTtV19wc3aB94HJdMpqfs35y+d06xVDu0FNdzg+PmR3VjN0HYs+cH0952bVcHa15OLshvuPZ0hTo0xJGVUy1gxh+1xMIal0xA0tB3u73L9/RD3bwceIbXts3zM9OGW6u48yZRrS3m89mtbLBav5nPViSbtpcd4RguP05D4nxwfUkwmTnb1k/qw1Uih8CLRtSmD6+ovfYNuGsjBUZcmmHfiLP/9PfPX1c/7kT37CTu6sb9Zrbq4ukBKO791jtruXpKM+pb8k2ZZjfn3N+dk7jo+OWC0W3FyesVrMMVXN8ekpB0dHmLLI/i2WVy9fMQyWwhRY62janvl8wcm3xP1+u0Y/psivqt5lZ7bPbP8AlMbHQO8GtEh6FBsjpSyARD/r7IApNDv1fqLeBKjqCRJN022SgZjtWQfH4vIM+pZAYAiRwhhUlSLYqrogqgKEZKIlpZlkhOiG9We/oO0b/DBsJ3spRUIHlaIoJ5yePGLn6B5eGAbnEcFzsFMTvCCQkBAVPJUucUEQgs2mMBLn+pSh7pNOR0SLkgUhQqkU1aRiVieavRKSvm0gtrTrq1REx1Q8CilppEDpOmXOmwn7Dw8IHqK1tM2cYViB6/MCkKIMI2xNZsaFJlpLdC1haGB9lV9ig1QVupxhpvuYukZ4wWZzg/cDUmjs6gYZz9LCoRQCSVlOiFVNNAc4mzbJxABDS/RtXoh9RssBF4mpvE8UqEhyYCdutWPbrYCUme7eEPN9iN6nTYY0BNsjY0QYR1Q5qzjG5F6v9HZhAIGKCWgS1kJIDAU7tEkjFtMGYDW69IdIkGOXIZn0hQDeS8T0XtKOC0k3tHjrQNRQyBSxhwcKYvTg7TbWQhU7FGaCqacUyqBiIHrLYHv6boPzaaHzfiDpHpPngjZlipYsJkSpU7fEW2LoE3Kekf2U7dunFOWsvY8i0ewNA1rvgfQE6bHRJWZFVaT7nTdxutpLZjauB1Pgw4BwA5GUOoG4zTHeri5KE8OQFipTolRBlAWohHAHPKE9T2i20BSmQE1mhDDDD3vJXFDK5Hzt18Q+MU/QJeV0n3pW0Q4ONzSEfkVwLSJoVDVBVXvpvTGGYehYLhaU6wUhKDATJruHyOAYIpSZ0YEp0RHAIbUGb6kM7O7v4kKSmrjoUaaikBoRc96qHbJeLhtnRk+hpxnYkYlW6B3eDfzR+yfs3Zzz7nxFFZecX75j5+lDPn7vPfpXb/npL7/ixWLNP3t4wPJmydtXl/zFb97xgw9/iHMeHWOK3DIlru8wheL3fu/3+efP/zmbduD+bs1P/82f03aWP/snf8bRwQzpPGdv32Hrgu/98FN2dyfsnxxR7Myod3bYj5rZwT7vbl7TDBZ3cQabFQ/f/xApBfbFB/zmb/6CarXi3/wP/2c263nSw6+vcDby+Mc/4fF0wqPS8+7twNuVoFmvacwuZ/MGU0258TU7YcLDoeWe7nCtpaqO6LEYKZgahRlamBY8PD6lVlNCUATnWC3XFCenHFQTGCyKSN+2dJuW85dvOb++ZNEODAHKoxmuW7IYPAcPjvng0T3c4Dh674SpLom2SxIW6+k3Hc16zdvnZ7y8uqY1EbfpkToBPbODXfrPv+avfvFv+Yd/8g+I3cB6vWDn/gH7+3sc7Z8QO4e3Pd4H+q5js17RNR1nry758vVzps+e8m6zQU8UT957wOnJIyZqhnAF1nu6ZuDmcsFX716ja0W0nq4d8DFweXbN9ar7tuXzd8dv+aimE7QU6CJJp8oyUXd1zrxGyjx35tx073HbohUgR3kpbsH4XOy5EHj39g2rmzk2U2xVBmZ1VVPmQnk0TFM6+cv43tK1LW4+J9pu63ZPNgNVpkCXFbqsqGaztIGsquzQnAosj0syOiMxYoowRQI0cgfttgi0yf/GD9kAEITWmLLE5AJfaZ1YC3bADQksHIacGpMLzZHSrFSi5FZ1RQzJ4NQNlq7ZpD3M1u39trjcFup5rU/rvtwWaxKxpZCrUadM8u2x3hNc2HZcYy7GtvR4IVC62N6zGDx+GPD2jkHeN7TpuZMugDjmQcXt19z1cxB3iua06EmEDAQ1msQFxkSERMmHSNpfjPc6/bC8z/C33gLhLvU/Zi09qRCPd0GBfI23cgMxXgYSQZDZUT4zT8aTHTvpMhslbiUAyqSUgRC2v8as+hDv3OcYU0NAOLwYslGeSA28mHX/dzv/2589Fvpi65kgpEzGhj7pyAWAzPF4473NRW/Mhf7IGhR3QKMtMyNmECOOjIv8KzclYt5r4lNSw/aeAZBYGUKq2/MdgZQ8tmSmw4+u+WNnXaaTyOBZAOnAJUmLHyRWJLmtUrdxhWL8MxlYhDvAj0TKJO3SI3tIkIv7uH3XRYy5+UUy6MvpSEYlAKvtepqmZaeATx7u47qWl8tr2CyQQ0NR1zy5dx85qfl3f/ULnr+94MG9I5TWzFcdX7+6oDh8yGhImBIzBCrCdGeHT773fV59/TVXb9/AYPmrf/NvkVLzez/5E6RSiXGLIoTA/v4BRyenvHlzlliaWe7jnWe9WiEJrOc3PP/8M04fPuDjTz5hOV/w5//qf+Xm/IzPf/5TLi8u2cyvCDalaT188pAHD+5h+4HlkADLm3WPw7BsHMvGct/UOFSaS2Ni1wpuWTZaRCY68PBowoOjmnJSgVSEbqDvGqSuKOoZyCIDMyktbHlzzfmbV9xcXhBDiuQewaHjwx1+9IPvsre3k2RVRYVURZq7YqDvWs7fvuGLX/8KZwdm05rBDtj1GqkMjx7eo217Xj7/imcffkhE0DcNewcH7B8eJDPWOL5bCXRyzrFZb/jyiy95/vXLlCbSNwgix/cecHhymuj9ghSpHgJ973n75i0hgikKural6wcW8wVX5+f8fce3FvoPP/o9JmVJXdZURU2UMtGLQyQqhYzQtS2qbzP9Jk1+gkCtDDFGtA8YU9K3Pf2wwEdHXZT0wqSJInqQgnqSKJtGKZROVGyVEeBNt2ZYr1mt32Jtv0W0EQpZz9BFTV3V1HWiPpi6TvRgVdANPmmZpaR3dmu80nZd1nQmR+/pbJbow0Jgo0TLPZACH1In0dserStQGqMEJkaitdycv6KZv2MYurwRMEhZ56IvgtRIUxJcnzrw/Zr59SYVHc7eLjpCIFR2TI8xda+jY6Rc3+qsi+QRIBVSl5TTA+rZXsrBdY6hWdFvlsSYcud9cIluJGSSH9kGISTd0KT7XExScVSngtT7XYahTZNmBh8iJGZDSJudCChTJzmFDylrXSbTDBEcUkmCHRLdPrjtoorSRGmQuqSopulH+IRSCQRKONxgU+Fte4K3GR23twtFiKkrPS7KgnSPVYEs6wQaEJERQrSpeyMNkO6lEJKiKqCss0lSR/AdRTlLnV1dkEz3hhS5JhRSBuz6nLW12GaNV4lVIaRKhjLB5Q1N+n+JwHpYuyUxdBSmRpkqSQCIuGzGEmJmQ8pMpfeBMKxIUdAS6zyb9SLdHwFC1al77h0RjzI1MTro5yn1oKignGS9Z9zS5BCSMaolac4yPY7kkCxsBglkosdFqfNYzIt3sEQXGPoN0QeENOgib1ZDJEqT5gUXCH2P7d+ghEBXEwgxLRLCABpnA747o5eWsqhT9ytGrDToyV6Sd3Rr1s0GGyxaSNp2gYzpHSCGFNlZTkAqTLWLVIZSpQ2H8DZF8EmNzhYE1g4M3mKjxxQTGusBiRYBJTym0pxWBv/15/yPX/yK43tT/uCjXSaPHvLJBx/RvHzNb37xGf/q518TleTmasFnN0v+8m++5jdXGw5fvKIbBqYRgogYY2hdxNoOvbPDwaNnNL95wfRkBzd4/uY//BX3n73H0f4uZ2fvUHsz3tvb5+bFay5fvub8q1eEGFDK8J1PPuTB6Qm//NlnAAybFX/x//i/cfB/fEihax7//p9wdX3Ob/7qX/Lu+WdEoZOBi/OcfvxD/vgf/3fMuiveXNa8XExQww3SWWYP3yfK/0gUgoOPfsjh0+/T245ucQFlwWa1Ye/wgFprKi0IReT0vadMpWRoUsxo2zSsq5oHjz9AA9E5Nu2GvtmwXC55d3XJUjlmj/f4+OgUebPi8osbjj58wj+uZzza26Ge1tRKo0LSOXcE7Kbj3Yszvnr1GqaGJ3/wjD1m/OYvf8li6Hj63j6Twx3+6Xe/y3rTEvsBURTM7u1xenKCHgTCpo5k1zqcGxIzxwXefHXBn//sV7ycn/Hwesrs8QnvffwBpztHGDFj6G0y87OCZt3QhQ5nHMqkwmy53LBuGg5Pdnl1fvFty+fvjt/y8ej9ZymNpsiGb/K265rc1CMud1K9TUZhQmRjq5A7fjL5ycRxEy4EwSUDx75pktN2WWCqOtFfVYoDk7ClOnvn6NsWNwxE63B9T3QupcqIZEhaTKaY6YxyMqOoa3RVUZQVMQbcMBrCOZx1qaPu7LbbngoUk9fNrMsmFdeRuC14RTacS9ptz9C2bOZzumaDH1LM58gkG83DpMq65ayltm3L6EbubSqC/DZFIN7p3P+XXeJUhIq8FylQRaZCZxq5946h75IBnrvVeI9d8HHPQO6CCyGIo7GiUEij0UWVuv0jNTrnUPN3zua2yzqyBMbCNX/t3eIVuKX9iy0t33mfGXp2W+xujf9G6nX2Xxq7teN+MvUl5K2eXOe0gdyFvo2JG59HLqC3VxKR34iKywWxGDPV81iPEdt1DG3LaNRIjLkLy7Zgv43Iu2VgJO2+um0cfYOjwdaNfgueMBoL5vuY35e4lUDkL9uaN7I17hsBFkTIBU5mVNyRf3zjkcRv/v8WaMnP7+8CTrdSELkdCOk9ufNBAUIQiDuRkjG4zMoB4cf3ZxzN4zAXmYk4js/cyUfkwjE34e6CNkolv6yyoKgq6rpOZr9yZCpk0Gi86/k2JFaGRBmF0ZKqEOxVgcd7JZvlFf/TT79kJ3p+8OSQh3v71KVCaMMvXrzlf/mPP+Pt1ZKzmw1SnPPF8zf85qu3zE4f46xHF8njSsoIIRnU7h4e8uTpUxZnbymlxPUtf/Gv/zXH9x/y+MP3E8tJCqJ3aCUZhoGXr9/QWs+0NOztznj45D1WVvLrL99iu5avfv0rHjx9j2cffsgP//AP2CyX/PJnP+X68pJ2vUh7ZAQP3nuPP/qTP6EsC9abTZoDhcBLg5ns0PUWH6DePUSWyaNLyoCRiQUrpUBryUQ5nh5VPDyKlEV6pnjLerGg6yy7p6mpt6Xp9w3X56+5OnuHIHJ0sEdRFLghNSq0knzy8fv8/g8+oaqrxMSO6f1w1jN0G16/+JrXL16gteHew4fEEHj+1ZfYYeD0/j0ePnyAj5F+sKxXKyazHfaPjtnZ3c3vSdyCtt6n+dAOPTdXV/zib3/Fu7fvOD464N79ezx49JC9g4MtaOuspWmSsSAk03mtk+xr0/ZsuoFq03DxLfuRby30j49PMTl7kyAIQiOjAg0hepbNGtu2GCUxRlEWBV5qmnaTjBWWNyglmdQzqsku9aQiRkG7WrI5f0fXbkBANZkCAq0U3WpNP1ykF3IsxEkotDIFsqoQkOgVuydok8zBBBptVDIrEwEpJIMPrNslYejx3qK0pJjusV4tiYMlIDBVja5qJDBET1nWyJEWRqAoFDtlQYw1zjqkVNzMr7i8fpuKWT+kgnk2TZNO9DnGxSMCSAJ+aAh+IPY94PIbnroDRhcMzpEQSAVoBD6jfgKhS8b8eEGkMBNkWSOQVGWJ0QZrHW3XJqMLXSEngugbRKiJQiSNslD4vkVJkLoiCPDO4lyPb5fQt0gpKasZk9keSE3XJVAgSrm9Nq00sigTc65vk6xBGrxLrsEQiS4QK0DoVFuOUYDZRVVlfUp0A0YX+GDTC7lc4G1LtDYDu9llU1WkHNgyOfkHm2hgkCjqRYXUFVqVaVLxqZuixwghk36mzKi38y7dX+FAOCQB21yliDppGGwHxOR+ikTpAllOQVaIWYEREoLD9yuC3UDyAM8Tv4ZMGdW6ZhhkAhSGS8gdZyELtDZ4EvXeVDOkmRCjxOUYI2JEiUDM5kaIAC459kcBURT4doW3q7SYIlOUY5Fo97oq0yInROq0x0iIQzK+2SYMRAg9wTZ5U5c3JSrR10K/SVIBPFFXQGLXRO+hbZGuQ2lNOd3DComXA65P3SwXIn6zTAtM1tQqVSRqqxuIwdJtbjKNNm229PoqUwgD2iT2jMvvaMAkGrjv6JtrljEQpaYod5jtHdJUEybVlH6wLG4sAknbrgiuA28JIVLuTDHTPSbVDlVVJ9f7YofvPtxh7+prvvzsS6aH+8x2SsTE8NHDx/QXV7x69Zb/9a+/5Nfvrll3ln//n79CecfLiwVozV//za/ZNC1aKcy0RkeJbQfaZo2Vmj/809/nFz//BaUOTIREE+hWa7pmTUvkyeExqutYnF9ytVnyxVcviVrQbjaoqeGP/vB7yHbg8+evGfqO+dkbrq/O2Nm9j1KCH/6T/wP33/+Iv/0P/4Lz558jjOY7f/qP+PRP/imzzRnXm455NyEw5165ofSCVxfXrDYL2q7l+uaGw3sttSzx0weI+TX1xKIz4+HopOaDx4cU9PjB0a9bbNfx8tUFuz/6EdIqbGxZL+a0TdLbna/WlA/2+MmH71NaweZyxdn5Nddn1/zFl2+RR/tURcFs/zC5/tuBYbXGhsjbL15xMWw4+fQhTx8/YCImLF/d0F5ecBHXPPS7yHXLu7e/Yfb0Ec3QcXgw5WByyEQaMBE72ORPETzD4LDdwMWbOa/eXPDi6ow4gXsfPub73/keB/URMoAUBSKmTbztLV5GHn3nCc/eO+H59RltOzBfrOii5UjvcfHm7NuWz98dv+Vj92A/F2a5C5y7gyEkP+0QYwIcv+FMHjPbKcV3Sakgd9xCCPg+bwaHYcsKS0dIZqFZtx5dcqFOBY7cbtKVMlSTaZIhFUlrO9nZpZhMQOnMMkjdOu8c/XpFt1klmnwuykKMqUkwmsipZHYmxr+7W5SS9l7B++St0/UMQ4ftOvpmg20agh2STlyNpma3lHfvHMG6W4q4c4wU8VTbqC07Qmxj8cS2GbGlsMsEMEiVOs2pE2+25xt8LgyNSU7uMRDvrG3faB7fNraTkS9JNy6C2BrrqSLJCBMJOx0y079T4ZTNZrdd6rGYzH+7LSLvshPGf4tbEGfUzN8WzLdO/yIXukJrRNTE4k4hLsbnNerIbzu+Y5G5PcZzzledivIAOReeLQ2dtE/ZeoHkcS9GZkoaJ6mL77LEI3yjYN9ebTZp3BaoYwG6lT6MzzWlJ6Qu9vjMt3dsCy7EvMeNIXLXx2rsJI8oQMYAchc/lf9ifA656JfpdWPs9o/XGvPXxZESf4cGv72D48/JXy9EGkO3I+oW/Bmp9dt4whhuzy0CIt4yDfI9k+P+S6otCzB9j8g/JgFMt74OEqU0RVFgsizg7jmJmOYqKbMpZ5WAgaEsqGrD4VTz4HCfyq/58tdfsrm64fefPmD34BBpIp3tuLq44N/++d/w/N01zkf+/G8+Z71as+kdPgQOv3zJar1h/2AvvYsxsFouIMJk74BnH77P81/+HN807EwqrlcrXnz+Oe9//HECpmIgyGQI9/WXX/Kv/+2fs9gMVGXFvQeP+OiTTxH1Pv/6P/4sRa03Dc1qw3y+pKxKvv+Hf0A1nfLq669pN2tMWfLs2TN+9Ed/xGx/j6v5kq7tiETqyQQhkhlds1rlvXticyitKaXA+wTgIlLj9f6B4elRRaXbbPTZsby55vJmw+Gj9zHVNK0BQ8tmNefq7DXB9ty/f5K820LAW8fl2RVfff2SX33+FZNZkkqN+n1Ei1unaL7zs3cEH3j6/gfs7O4htOb6/IJXr98RnOf49DTN4VKxtz9j//CI2c4upihz6kQebyEyDAND19K3LTc3Nzx//pI3b8+JEZ48e8r7H3+H2c4sA1CjP0TAeU/XD5zeO+Hxe0/5xc//lpv5nMVyRT84+t4yny/4+45vLfSLYooIkS4O9F2fXgyfJlipZOrimIRc2hDolksG72j7Bi3h8PAUj8AHy3p1Q/9uSdesCN6hdJEuwluGzWVys/XZhV2kzHqpFKqskaZEm1QcTSfTVBw6S991BJc6lnWtCUECHhsibuhZ2w3C2+3kEFAsb6452t1DHOwwBJcQ+Rgx2mAiqZuqUnauIOmg+2Ggcx3BJ11I167xUlDtHmLqXSIKQTK384ALSf8mvEUKicfB0CN1nTNlk2mN0iVEh8mIl5AaESBKlUz1BAjnU1dCGypTYspUZEufMkzXmzUhhsQyIIJrcbbHB5spUZIwOCIKP2zwvksaLCkRRY0qpyg9AwpCDAzO0Q+XOTUg0e2LaoJUBVpXKKNAClQMUJocZeVBKCiLRIAv0x1JiGh6PoUpiUisDwx9gx3ShsTG1DlXqqI8OiGl3nhiIFEUXY/C32ai6gTKSFMnSjYSoQRGJulFFCVWeER0SFXmLkaBGqnbfUMMyYAwBE+0bXqh8noqiMhqH6GLDC6VGF2jpabfXGNdlzeEkBgAU0Y5gyxmBCR22GA380w1k0SlsjGNTV0D2SNQyHoCosANA8J6VFFSoBLzgeTybHQaFy54Bu+yBi9RlczBLiamzVkyNRKZWZO798ITXYfgNrIQWSR9I1kjKivEdJbygWVIbqG2wduOMLT5+6rkAZEzjcc0CRcdtt1gbYsua5SuwFQpflBEGIGfEBK67ts0ppVCFreIa/QenKV3dtzt4YZu+8yHvk1Z0KpCm920eMcI0uCU5ma1Rq0WLGKKZonRJ8BFGhIFNiBVwcYuWK+uEapGm4qyKPju+/f5/tTwi//wCw4enDLbmbG7q7l/UrO5vOTs1Rv+6rMXHH5wn5PXNxw/nNEHz5vzG9ZNx3Ra06xamuWCYCQPDnaJLtCtWy6uF0z2Z+wfHvPpR0/ZXL7gYFawWDa8/tUvufzu+zx87wkTIVmtlpyvNqw2lp9//Ry5t4MdLA+e3qe5ueLRyRH3T+7z4tVziIHgeoyCTbtis7xAT6Y8/vQnnL/8ElVX3H//Y4puztA3vBskr89e4b3n/of7LNcNb2962r7D9j2Xl2eUZ694dPqYw3LGq6sLdo4OECGgNDx7WLMvA36zobmZc7OYs9o4zoPnwWyPoe/o+g2L1Q3r9RJfGT764ccc1jsMzYDtLO26oV83fP7inK/Oryml5M+ODymiYX51Sdd1LC+uWQwtaiZ5/8lTHhw+ATvQzzuuXpzzy8+/5kwMPP3wHsW6pZ1WTGvF6aN7HEwPKJDJfyVY3GCxQ0/fdVy+uuT16zNu+pYwgXXb8oP/5nv86Ds/YLfcw2Rn3H5ocM6l+Mf1wHW7Zv/+MZ9++ikv/pd3NJsGGx3T/Sl7uzNE+Lsdzt8d/788vA+pwebHgu5OMR8jPv/adn+3LuZ3uoExJPq7tdgmpXckPbjLAH3SrxMSwyrmDVzKPC+S4/aWep0LIimzNZkArYhK5hommZMF77FtQ7da0rdrhJDossbU9ZaOLaRMJjUxJtbVaPTlbru7IeRoMm9z1FmPs3bbaa2mM6rJlK1Tfy7MUpxfyOyzVLCqbLq17fRui6Zbmjl3upbbf7ujWx+lidvCaJzPQ7gF93OXNeaubvr9tsy9rQtvC/j8YamY9BGCJIhU1IcxXi07+48fEDOzQYjb74fREyAXen/nZ6QkKbbFZMxFYMimaXH8+zgWsjHfa9K+Q94aL44F/7Z4ZrwuyJXoWOKOFS9j6zrkzw/Spe7zqNHP92VkBGy16pnpkdgoLo8BCDIVqjJ8806GLaqSnkG69hH8EdtnnWjkCqVMim7WJgMtmfWwfedGv4GcoMD4HqYLuy2z450iOyZQP6Mco5Z//L7xOdz5zgyEZUYAcctYSMBCZituC/zbe3s7BG6756O7/xYkiLeU+jtD7hZcGGEjH9L9VolBnO5FGoNqC36N6Qcxd24Dfbuh2yzTXnu8tDiOtexjIBWq0KiqSl5EhcI82OPZ7jGr6xuOdmp+8uFjPjjcpRKOzXrF1ds3XM+X4COVNtQ7Bfs7U9brNS6DVZfX17x7946d3RlSGXyMXF1f463l/d1dTu4/4NkHH/Dm8884PNwnCsn569cQAqbUBD92zxXX8wXvLuf4IHBS59hPz2RSorWis4k9FYLDDgNN2wCCJ++/j+0H3r18QVlVPHryhABczxesVhtWyzVRCCaT1FRbnL1js14RBsfF+SVD9YJyNqOY1Fmbn2St+0Xko+OSmfI4F9gsVpy/es1iueT0g+8yPTghSsnQNdxcXzC0G3b3dtnb20VmlpEbeqK1vH79hhcvX9N2Sc7iMwDaty3L+Q3n797SNh2HJ/c4vfcg0e9FMnN9/fo1v/zl50ilefTkCaAoyoqj41Om0x2KokxsjjzWvPc5rm/F6uaai/ML1jkuVgjB++8/47uffsrO/l5OIIvbKSL4FC/sXGC2M+P+gwf89K9/hndDiu9TAlNo+OZr/43j2+P13r1NGlddEERE4dGmSnofD33fYb3FDxYtwAbH0G7wbmCIpFz2MOD6FtdtUkEoU/ZslAKXTZcEEYoKkWMQSp06yEPfU5WGarJDVaS85c45FssFk7JMN0UnqoWQBmctXbehb9f4vsPGNAlOqimHR/cwkxlRKIL1LBbXhKHF2w5re1Z5wpImGa45lxAtIQRlUWMm08Q48I4YU9/dFBVRQKHBdQOua3NBbBBCERKflVJqzGQHdAFC4X12lA0QZeqsS5I5X6KmZ/MgEZAhGfk4N6Tonb5J3XPbMcYJRTcwuIbgeiIBKcucI5pGitQlupii6128rxAiuaOjDUZXWGeJtk+giCB1h4spVV1iQ9LXJTOLDoaQp1aJFzGxBTxoZfDeo8b5VqVIOx9SfIsb2jwOFUoo9HQX2McFl6j63jM0K8LQpAkzu98rXRLNLE08Iv1crUuESpnsQJJ4hEAQGlVohB1QQVBolRdlm5ySferqCFNS1ftEn6jWUonk+O8FRIeSAuv6bYE6NAuaoWHoV8jgkPisZS8RRZnuhirQyhCkwkuF9yrT/ELObhYQQKiYKXQkQzx6ZHRJNrGep/QGZdBmCnqadX8JPS7KGurd5P5PwIUhgT5C4102LyIgTZnohd4SpSJEnTbISmdaYY4iEsmoJXgLfUN0G0RMY9FLA+UuMuY9nkxgmZSC4B0yBqKc5M1ookbrEJMxlZ4AEWf7BGoFB2QmgYCYpRpCG5QwRAVCJG8CpMqLskjfEyyQwT9ZJXBMjBsuk9MUGuywJvoBVJneI6VRSiNHV9zgCb1nCAIhHEO7pgmezWHg1d9cICaGw6NDtBLcP6kJiyuu3p3z1cUVn/6DH2LOFvx89zl/+Gd/zExoXl9d89nzlxzsH3Lv0X1ulksePDhBC0nfrmmdZ/AgXQI9Pnj/PV6vzjiaKrwrOT8/Q1YVu0WJXS+4WS149umH/Nv/57/jbLnBbdbs7e+yWS35za++YBg0bbshkvSXz9+8ovcCGQN1nWRVQpKcrq3li6+/pH76kAKDL0rqaYkMA0e7FZ+981yvVwx2IBJRRclyeQ22x6oJIele8H5gejjh8b5BdNes3p7z7s0LzlYNnB7y/T/+I2oMQ9vQbpY0OI6ePeLe8SnSgQqSrluxvlmwvrnhxddfUz/a5X/7wT1+edkwqXfomg63XvL6zTvU3oSDe4c8fvgIEw0qCNwAm+s1P/3pr3hxM6c10DU9Zm/KddtzcHxCpUtEzPNSsPR9S98OLC/nrJoVry9uaHY8Dz68z8SVPH9xzg8+/Q77xQ7CgYuOwQ4MnWO9WtN3gc9//Rp3UPBMSh48fIBbW9qmxUeYziqKosSt7bctn787fsvHajF2LHIRRCoJxu6rjylrPbjchfe5IBkLzxztFKzFtQ2+79PckLvq26pApNxmM01Z56astwVdrhrSz8+eKkrrFDkmUvHvs/6SbKzVrZd06zVCRMrplGpnF1VWObI0Mwq6lm6zxrYNtu/x3jNS50XWvAslMyU8rR9udIoXIpsS5kIkgwKje7lAoGRM+w/SNcqxuBMyy85y0Ze7vSIXgZG8toY7LIDMBBhp9GGrEf+mkdyoih/lBeQu9OjcPhZn4/70m7BZLsxjTJ3u8XNSNu9tJ10KRvp2+jm3DuuJ2TEWmmw76dtKeyy+cjEupIIoUeK2eE0AevzGOYrcVd8+l9HxPf/gEcyIxLTujt8p7+j173b5t+yBJIvdMhLufi9sz8k7h+8sMRs1Ru9vK8nIna50ZgCQ/zncgi+3ABgZGBKEKJDW4WSXjP3G8SbHOL0cVahkNi281dTfxRK215N+6O3PDAlASz//9u9E0tHcGTfcRu8l6IIYFFpFYkh05pCv+RveAoxfH7fPY8SUUihDBgfG89qe8J3ntgVhMoSQgap0P8cUhlsgbASoYvD4zAYjvwtkj4RbD4Lbp7lligzp/XHDwKBg2FOEfopr1jzYnXA8LQhuYL7ZsLh4h287Htw7JpqC+abhw4/f54OnD7i8uGK+WDNYS1FofNfgnUPqJPWtpztcvntL37bUkwkPHj9icf6GvYM9hih4e3XJ8uaa4/un20QHrQ3rpmex6RBSc7Puef7mkrKe0XRJ1iuIaJ309G2zYdO2RB+oqyol7XQtQQiuLy6xIXJy7z5lWTJUDh9BGr19Yj4DlCGkxJ3eB3TbUVYV1aRmUhU82Ck5rgPR9fTdmvOXr3j76i1HDx+yf+8hXioIjtXyGkngwcMH1PUEmfdGIaR47fVqxdX5Gc8enXK4v8fNYkldGkDQ9y3XF+cEZ3n83jP2jk5SnZM7/l3bsFrM0TL5wQxDzzD0aGOoqirvrfNSkZu+fZe+Z355wfz6ihDh9PQUay2P7h/zx3/8Y/YO99FaEWySdPngGbqem+trzt+9Y2//ADsMTKc1MUaccyil2JnW7O3OUsLD33N8uxkfKVZr3TY4a9FSoIqSYbD0bcOwXiKjQ0lQSuFImg5iwA0NuB7vUndxOp1R7hxS7xxgprusVxti32BKxWy2z97uPlHpnCWbCgGpFD4I1u0mbcScZTKdcHL/PjEIXNbNuMGyWS1oFhfYwaKqiunuLrOiZLeeMJvuETzcrBY06zmr5SW23eD7NUO3SguUSA6+QqY4NTWZUFYzpC6pZvtESKyEbk20jsIY9LBCeoVtk+a/qKfIyYwY0wKuSfdFiBQfJ0KahLVOCKBC4Iceq6DQAudjMqwJA75f4+yGYDsIWauvijRBhYCILjmmjou5lMhqJ8XqiYJgW/AOZcoU0SYhDB3FdAchsslEcPTNikCiqEeK3P0EVZQ4YVBKIHWduqQx5caHGBhsnyZOIZBFhR11fc4So8P3nognRJARfEhGNVEmvaM2RdJRR4kSEqcNptxJxavrk1YyxxYqmSjEMXiUKSh1gXMWJUljICQzNWJkGJrUNRfQ5HFvTIkPEl3sUlUKQQIgggChyzTBBJeoeSqZ1hljiCqBGLGoEfU+2B7XXBG6Vep2uwWSgJCaqDSdMEkfrio0EllMGIaO2M6TLECpRHcbGpAp65NgESEwGh/2gIgCJTWq2kXvnhCLXZRUaGlA+kwhVJRKY2PyMpDRJVmDUMlYT0Bd1IBJBjpCJldZ8ibQ2+SiH33Kli0LjDjCxoBzASNUIlB6T4yWQmcqZ/DYoUGoKsVKRovROjmX5qgdER2CQFlOE3q63ap4tNaYomQY+uSYm2UrUabxIHMqwDZiKbok5/Ce0C/wnUfgsiVISBQcWUF1gNY1RJvfGU8IfUbjK4RQZD1OiowUElOVfHJ8xOLVF+wdH6TxVU+Z+J7zly95Zx3f+9Mfczh4/s1XvwatMVGxszvh+/tTvv/+I4bg2Ns/wLeO2e4BMkC3aSn3p+zFAblj0LLgYG+P9c4ukzJQ94L2ekOzalhfXnBzfc7+4/coh8CwXNEMPUKbbO7yhvn1BianNJsNAqj3Dnmwe0i8WdOFgUGtEJ1jmF/jh4FiVjOThv56gaiS78jpzoT3JlOa8xWdnLJXDpxFgReS/WrKrijQ1rNq5uwfnCCERinF4yNDtbhmdfmOl6/f0JeBJz98xoPHHxJXPW1c0/YdolZ8+OQTZqpCRUFj1ww5Q3tYd5y9fsu57/iH/82Pka+umLs5IAm95Xq1YvZgn3sPHzERmomapPgz1zOs1pxfXvH4J0/4J8ee//nf/4xF2yLvH3PveIZEojLNzfYDfTfQrTYsrq949faCVvccfHTEjx4+RfWK15+dcf/xPd47PYY+Ud5iiPRdz6YZ6GzP5eUC81BzerBPUe9xffk5fd+y3LRQK472Zon+HP7+hfV3x2//WC2XuSbLHbGYdY+5kHc+5YIH57JmPmmrE6MvfiO7XUqFmUyTdC/rypVUSftflqhspiqyWRtwW1SMnUCRO6A5Ui1t2JOfj20bXJ8coKVS7ByfUO3uIosip7T4DAKsWF6es7m+xLbNbZyYTEWWMgZTlkiZ5jCZc5dDCJm2mjyGhEzGgnBbEKauYc5Yz6yELRMhd+Zl5lZvC81cHId4+zk+JB+CxCBIvgRkXf+dsipvbm87/kqpDIbcFsSZaHDbfLrb6R4/JD/bRNzK3XA5GvbdAQnGYlmM3yfuFPOpG+zDSIcPd3T7sK3dckf2bhE2ntjIKCObN8oc1zYCJYnR8HeYCGPHeVtHj13jmOjpGYhJ9+husQ9Ccdu1jnc+j7jt+idjSYVSt2VtiCS/p61zfr4Xo+RyzHeIJNBiBEDIxoF3LkDk8T3Wu2L0dNAmvRdV8pvYPlul8t5xPNV4C4R984beximPt2kcp9vzugNyBJ8Bnqz1zx347Y0Z7+GdhlbMRfvIABiBprtsDOIIEOS0gTvMgpgL13T7t999e8+yh4L3HqzLcdK5YBc5SyCPVUG2fuAWEJB57MYwxkj61JARGfjwkZJAESxTCVMtaVcrNl2P7zYc1AWnj09QRvPl23N2JhUPTg4pFNw/3uPh6T5CiKQV7zb0fYcupwglOT49pV0v6do1xkjKSUk9nSCNYjKb4q9XXF9ecXL/BMjSAqWZLze0XZLSXlxvaNo3LNcDk0lFiInloZShbweuLq4Y+h4iDGVHu9ng+yHFS/qI6x1d01JWFXu70+S1pXRqfEq5BZ+UUpRlgVMKuR24glmleLArUG7Dpl3S3FzR24GHH7zPwYOHRK0hepbLJdoUHN27j9Y610gOpVJEYrfpeff6FZNa8ey9h9zcrPkipNjvruvouo6imnL/8ftMd/cTMBkjg3c5Sajl9OSA73znGc9fvsU5T1GkIj/JlnxiiEmRmIJty/XFO24uL/HOcnJ6j9399KzO3p1x//4Jz95/DynBDgO262g3a5qmYX4zZ7VaU9c1Ozszhq5hNqnTOoCgKgt2d3bQStP0A3/f8a2F/s3lOVVZM5lMCWWF7RKFvx+Sg2K9s5vo0kOPy46weIsqa8rZCYU2TGa77OzssjvdQ0iTcDQfsDt7FMoQVESEiBscdugQQjCrJnhpaIekz9+Z7qfFNJuR9L2n7xv6pqHvW2yeturZDid7J1TlTkam0wT44u0rFmcvsf0G1zUE36eXK6ROrDIl0RhUOaMopxRVjS5KYjbgG/zA8vI1vl0lbbgqsaZGmCprsiTT2QGTckLrkkmLRrJTTVGmyOg8KTtXiBRjETy99SgTE3pKAA1aFjlKML2EoVPZUE4mJoSQRDsg/LClcJV1RVHtJIfdtkloXJXYEbpIcQ7ODghT4kJESY8xNVqWMNlJyJ/UEDMSJSNapAiU4D1BRIJPSJgHCq0oyp2EajuP98ncxEaXCvIYsbbF+R4pJHW9gzYlQYALCgEEKQhSE4NA4tK06ofUgReKGCWSgAotMurEUFAGRWRoV4nOHg0O0uaqXyfTO6VSNIcAU5QgTdr4SUmMHiUNzg7oogShKEySkDg70LUrfLvAektZTtHS0LoBYxRaaOq6hp09XD8QSJNpcDbFLZmKEEUaW3HUGXmEKpC6SuCF0OhyhipmRDMl+AFvNwif/AqiawjRIiJ4IYhFCbJCRQ/W4oJF6CqlKRCRyCSdUAZTTTDKMFMaZFJeRO8gWqII6ChTnK3tkMoglSZEjRQSE2yio6ExUqJMevZSpFSNEFwavyIpJCf1Hj6kzahWGuH7tCEoSwSSgMwGKQmc8UIiQkxpAEJSKE0tRNLWCoUsJokGHSIiWGzosUPDsHpHdNlkMApC9KmLkiMwEzgikaoCkd+hcoIwk2yOlBZXET1Em6UgOddXRHSMXPz61zyZpejBEKAygWF5zjx6Pv697/Jous/z57/mF68v+fGPP0EBRkqMVmgBM2FQvmP+dkn3/mOcLFj1Lcf3TvFNh1UKGSNd1zIoRWNKdmaKSbHh+uaG1USj9vfZn0y5PnvJVy9eE2PAaM163fL1psO5M5BfYcOAIHD8+Bn9zRrX9QQpKYzBbdZcv/0CqSB2HX6x5HqYIPvXnBwfM+krzq5KGq9p2ga5WGOUwrme/uwt/l6NHyy+iNwzj5BCUpSKR5Vl8fIzrm/O6PZnfPjhxxxVO/TXSxa9o1c15d4Oj++dMjGaaAe6TYsdBvqmTU73Xce7s3d8/OOn7A+et+uGdTcQAmxcw+zhPe4dHKZoPR8QPiaGT9uzWq+Z39ywtEueHB/x9HCX5mZN97Dj6P49ZvUeuMgwtPi2Y75a0qw3XC/n7L6/w3u7j9md7VOGitViycXbC+pDRRnBuoGh7VhvljRdz2rTMxSRh985ZW9SM3/rePXFG0zpee/RMa+W1xwd7WKE2Xp9/O74/98RYspHZyx4crEZfI7RDFmfHGLuNIbcPZYILTBmh7KumMx2mMxmmKpGKJ0KpVGXPXZDxeginosmtvvNbVEcY/KjGYYhFfddNp4LPgHVpmD3+JjZ3j6qqnHO03cN7XpNt1zQrVd0mw2uXePzngopECrF/qmyopzNqKcTdGFSPJS3uOyob/s+pQqQGwom5WBLpbJHTJrntR7p5bnQyN3lbYmdHfl9SN3FUYM9Fs1SpK5mWg8U0dx29gXcyuqy6/jWW0DeFvfbe5ZjrsaKb+zUj0XbVvsvyOBETgcoDFImUzSX0xTCtpubHsy2ew+MkXXjr/F8E8Mhff0W9FDc8UOQ3zifLRAxnl+WEGyBgbFrTPw7xWIcMYsMSIjb4n4EWWTqZI+fsWURbKtmtmBBMoOMRP2N2jkX/8l3gcxOiXfON+bxGyPf6DKP5PQcb3SnUE/3LX3W6A4vtikNQsoseYwI79K15LE0fsZ/kSwwXj/iG/cNRmCBWxQgpG57+n+2Jor50zNAk5/LttC/w1DZAm/p2Y4/e7xasX2R4+2NjKnQTkDDLUOFeIelkiMufZZKBO9Qmc1CCCk1g4AQI/wyYlbjdcstoDWCMXE0MM/060mhmYgB2TdMFFQiIKyllI69ox3unxxQlopXby/57PkbTu7dZ2c2ZRg6EKCj2Dr/98PAzdU11XQPoQxFUVLWNc77JIWUMN2Z4kPElAZjNPObK0a4a7xP85tFat5m8Gq9brm4uqbQhn7wCKkoqppmvSFu2u370m9a+k1m50qJD4H1csHi5hpt0vkU9QSpU03TNYnxhADvk7Q2imorHTFGsT/RlAys51fEzTWlVpw+eUqxs599wxzzqxVlNePo+JSiKPE+SZvSeyBxQ8O7Vy/xtuPBg1NMYZLxsVZ5XtTsHZ4w3d2nLCeZwJW78n3HajGnWS/RCg4OdvmbX37G81fvePb+M6azGSNDK404z3o53zIp9g8P2T88YjqdQIxs1muurm84Oj6iqiu6tmFoW5aLBavFgq5tkFJxdHzEzt4eznkuLy6pq5K6Kum7AaMNk0mdX51vQI7fOL610BcR2tWc9fxi6x6PFCg8Pli6NnXGyrKgmu1QmJLpzj6mniCFpDQVjqQ2dsHBMOCCz1RmWGNxeGQEIwuMqUFqvEyLb6E1QkfCkKjjne0Z+h4Xk8FX0JqdyTFlUVGUk203VsiE4swXN3SrK+bLG/q+TZPqdBclNIhkpJOoSClCp5pMKIuaStU5asJjrQPXs3PvQ9qhR9qBOHSoTB0vEGiRnEj71Tx1H0PS82zaeZoEVYFWBVVZUSiDR9DZDoaOKBTSeY6ODtk5PKHtLYU2vFqucUODiBLnLMv1AhVtytrdKRJdG4GSYIh0Q48PEV1OUIAChvaGbpm6oaqo08TlHDZG0CZNqkqmiW3UgJHui9NpY6B0SZQKFZMezWdajXN9ynGPpIJPpw64mRRpk+N2sM7j/UAXPDI4qnLKzmyKKcu8fkV89lgQJA0m0SUabkZGrQ9Y5wFPWZrkam+KBAaENHZiiAhVgFZomYp3gMoYZFFiB5UtBwIqOoQMFKogALbfpIXSWYLrE52omGJ9QAwb9uspcaTre4l1Diks1lt2KsMwhGTIiKOY7aGrU8akQS3FVsritUGESHA+ASQ4oimYHJxgjAYE1rnkrSDTAlzp5LtwM7/B9S1DP6C9x9mGKCWKmBMIDEJJtFLpZfcBoxO7wIYCJcC5bGpjNEqk+Bop86TqCgJJyymlhN5TqqSTH6JHmDrR7qPF9Q0BMPU+UpcJ1S9rtITZbIoUBSG6LD/xeDekrYQU9H2iOmujCD49Z4RCa5Pc+EMgIilFQfQVQ10jYwSZxtQwJJmN7VaEkDpNUWqMqlPeLg5sh/UphidurvDDBuv7DLLljYpS7B4e8uMnx1Qvv6YwNc5GUA4TNngV+e6PfsAsCq5eveXnv3nJy/mGHx/vEgfJ4ByFSd0z6yUDirpQ/Pm//Df8wZ/+EeXOjKku6JZrNp1nTysGrWF2jI0bEJ4yer767HO+8+ETHpzcJ7Yti/WGx9/7iPgXP00Rc93AvOtwzmGKAiEk9XRKVVS0yxuSe7Ck7yWFVtQ7+2hdUVQ13lv69Zqbs9e8u7yimu5TTQ+Y7B5gJhOqvk30ZDyD67Pfwordw4cM3mNEYG9SYDZXNL5h74PHfOf+A6bSMKxahq5n2QycfHzMw6P7KOeJNpueuYHge0JvuTxbsFmvefqjJ3z30QnrF2csmgZZl2hjOH10zP50J3mRhDQf9N3Aermk37RcXy05vVcx6yJfP3/H86slu5Xmj7RBVzOik2zWK5y1rG/mXM4vmJzOePDxYw739tGyRAyBdr1mcXnDy/N3PPvJKTQd1zct7apluVrQKsfBvX2e3DviaHpC7CIXq0v+6mf/jj98ts+BUpQ51qq3HuVhvVh/2/L5u+O3fATnklmiTx1JORYBQqGNQJHW4dRNS7T0siyp6vROlFWdnIzJfi0h4EPulqa28bawv1uQbLvWueaPIUXukjt/UgqkKTDGoJRG5y68KlIOt/eeZtPQrlf0mzV922DbFp/fa633UmGoZIrvM8mgy9Q15aTeFrkh+G2B3/c9ukiMydFHQOlUjOXdaaLOWkefY/W23UtGzbdEK5O/T6OlyCaA5fbvhASXjQxHQ8NkXJcK98ScT4WMuhMFHCIMw4AdhhyR53KnNmzrrNtiMze642iGlvvQo4Qg3LITRPZKCMht5zvG7Nifu+7GaIRReKHw0oNJP2MstKRI3W4xyhbuFI5wh22wrQRvtf8jJffu141ARq6mb9kC4yeI2/u9BT/uVut3gKQYwzbybWtwl/vLOQ0+36t8BikHOAHdUW9BqpF1IJXeJiWxPb2tAv3OWM/vTn5vcls8gy/5emIC2Kx1uGxa5lz2iMjmjQmcGa/zDuCQUSPBCIyMJzSa2+WCX2aZ42jYPAIzW0AnMoITW/ZIfncTeyQZCSuTIjhTakaSpmzfiwzGfBOcGR9D5PZmxS0Nf/T98M7ih3Td3rpMBw9b5oEgZJnA7ZHiGH3WgLtbGVFI+10fIvcPdvjOowOmocVtJNIOBKuoK8Xx3j6HezMKrdhsGv7657/hzcUN3/ne95K3Wd4HCKW3oIwAPv/8C4Qpuf/wcdpLu4ANlukkpQLsHh6yXCwJIaK0Yn4zzzHP6T2qq5JHD++jpMTne9R1Lc6lzrF3Dl0ZtDEMfZ8MCZXavq+pO69RUiZwZBiwQ4/WBmv6tJ+t6iTBjYkdxSgDyqxcKZNJe6GSybrvW/qhZX86Zf9wH1XvEnTF4Dzz6wVmMuP0/gO0LhP4kufNEAJDs+GrX/+K64t3HB3sI1UCIJpmw87OjNneHrP9A8qqTqlSubEcg6fZrDl/94bVzSWJrVpwcnzAvdMj1usVkUhRGmJMe96h23Bzdc5mNWdvb49nHzxLjG+ZalTbd6yWK969O+PTTz5OzvrLOdcXl6yzKeHu3j5Hx8dU0wlKac7enfObX33GwwcPODzYZ7lYb+M1eztwayT7Xx7fWugf7O4giiOKYoYqayKpSAnes2l7gh8oy4LeWnCOvXJGOUs30LqetutwtmMTBFHERGP2YLQGIqYoqKrdNDiDQBkNSqc5xjmc62i6JhUFShKVptidUWKQQhBRyBhQ46QUk0GLsx7nWzASs3vC8c5h6kZKifWOEAUxeERMztJCa7TSaKmIMm8ECGihKYsawS5t17JXtTRdQxcDMfRsrl7TBI8pK7xz2D7nxouk5SH45GAZ0oQspWGk+6XXQKBNjRSazjbcty19TDF5ShpMsugDqahnU5wPW+oYUhIQWJKhobBrwvoS3y5S7E9waVkQEkyBsB0RvTVVsUMCJKJSmGqKrqaEELDNAj90EAO63EnAQZF040Tw3uOCZzqZURSzZA7Yt+xOJ6x7h7dD3iSYZByndKLtA6K3RDtge0uUAkLA2Q6wIAuCNJRKI80EG0ICgDRMdgr2plO6wdP3Hc5bBmtTB8ELSu2ITuLWl6zbNVpPQGsWeWLXZkK5s5/YF0oThSEohe03CJeAkHa9JBIJAZSIKDOhGxpWi3PisE4Ue9cn/Y00xKLMHQ6BJmAKQ7w5x4mUFOC7lsXQ46VCmxSLhygpy5qJMVjb0dvA/PyGiKfUNWWZDE7quqYsDE3bMu8GHEAxpZweo7Vht0ga/aFrQSYan1aSuqpxNkkSNotFypcXApnd9h1kM0CNIuXiujBSWz06RwP1ztE2K3DJzHK6u8907xGmmuKiwrm0oKXJOG0i7RCYz3Pnn4gkUJi0KYtC44Y+6UhlMrGRaqSzJYBBCY8xEiE0iMgQQJcFInisS/OLEAFdFOjiMMkYiFgfMbqAGJAqotQhEs96fk47lAhTJD8Dm0EU77B4/vgHj/l+23I50SijCUZQKo+wax48OaW2keXVDT//xVf8h7/9GmuSHleWGlnorAcWdAj2d3c4/80XvJifcfjsIf/V0z/FLja8e/Ga9Y7iqJ5RHe9yEmF1/px1Y7Eorr5+xWS2h+wHbi4uKY4P+K//wR/wf/2//PeEqmb/6AHrz/4WoSTB+7TZNSVal2gjkdqgq5q2aelDRJgKnQENow39eoXZ2WOydy8/0zWDXbOzd4w2knoyIfaCST1jKiXttGY620s6WCFwfYfDcvz0MSfHp8S1xarI0Fvm84Z+/4CjnQPEYLFDi8TRtx3Ncs16teT5Z2/56ddf8ujDI35yfIJoLJv1hvUwcP+j97h/esLRdAcdPd3QMgyewQ9EG7iZLzl/fcWr6wu+9+yQk6ni2Z98yo8/fcp/+uVXLNqW96oJvh/o2xWL6yus9uw/O+T05D7TckpBwdD2DKsNm+WCxXLNvN9QF4ph3TO/XPDm5ozDDw547/QeRwcnzMwBvo8MnWW92HDx7i2/DFeIRzM+bO+xlIF+1dFvWtDh25bP3x2/5WM2m2Wz8DHOK5fgo052S8NOMiWjDUXOlo8CnA/YIXXk3DAkTaMgFUPapCJlNFYTtzTtbasyjhpq8sY67WXEOJ9JdSd2C3zMbDNric5TFiVFUbBzcIj3CdgkRpxLjYzUPDDJoE+NPiowIsdSSExRpn3TbErwAdsPNKs1bbOhazZbZgKjq3hkW2Bvi5ex45yLq9FUT+TC0JQlRT2lnE4xRcHotB7uGtON9wORGrAiNQuESKyKoevYzOf0m01KvyB1zUV+PnfTAMj+GiNd/7YkZ6t/l0ol890YMktBgVCpzhWCojAUxqTfs9a2aXs66267vpmlOFbZMRd1iRlw664/lpPbM7lb5HNb/G4LdNL99cET/CgnuSMZ2H5P7jhn1oXMPjmpkZ6kJW7o89i0225x3DISYjLCDT7LUPy2aE63MsX5Mea8j5b3IvH/0v8nP4MxCULcqQ3G56+MSe+DSsbLCTgbeRP5lxQUhcbkEkJk2YsyGrHd33IrlQCIOQYzFyTpesK2+E5FnstsDJfHby7GYQvKpNc8v6fjmJJqC9S43HXvRZvf7Xy/pWZ8nOnW3Hb50+dnwCdr1IUQWRY2XkfyRxgLfjckwGNMOpDETNfP79SducM7h+sT8JWYOAN+SJJUIy3/6A8/4WENz3/zS2oqJrVhv1Qc7NQc7O+k/eBqyVdfv+RvPvua1qXYYh+T3LdQibmU5JaR+WLJrz77isOT+zx5+hQ7WF6/fsd6Oefgj3+f2c6M0wf3cRH6+YooJfPFgr5tKUqDkRJdTfjB732fo4M9FuuBo6ND3rRNMkXdGkZKtC62gJJMmpLksWBKpClTRz8nlmhttmDrVsIgVAYpCqIMyQxdjXKjIvlMhUAYOmTZc7A35XBvkhqGStB7y8XZJaKc8vD+I6QusFmuEazDdhtuzt/x8ovPaFYLTk6OKKoyA7Br1ps1Tz76hOnOLmVVJYCI9Nyc92yWC96+fsl6cY3tWgqjKHcmlIe7/IOf/IC351dI4ZEy4oNlsWi4ubpEScmzD7/DbG8vgU15zo3B0zUt52fnKYpvUrO4uebFq1e0bcvObJf7Dx9yeHxEWRXb+Usrw3K5RssLDvb2eGvOUELSbFqscyll5e85vrXQnx6csGo29ENHmeeOPoIMgsPpTpoMIvS+39K/B++QIZlnBaUQoURJRRARLRQFkqKsUkaqSPpsHxKa7WOkXy8JQ0fIDqDT2S5RpolbSbNFrHs3cHNzhQiBqppQ5lxzm4uxQu8gfSDqlIluVJEL3whSM1gL3YaqnBCV4WZ+Tre8xJgyFWqAykhlEDlzG4/KE7nt+6ShE2WKcgo+bQ5Uibd9oi7DlooHaUFRpgJdJDQcgYuR6DqsD3zRNqBl7vqmBAFCsg2JYUALTSSAKhDKUGmNKqZU9ZTi8D7lziF9t2KwTULVAqiySnKEYoouSpyLmKpEKoMdOowUVKYkenjz+nPMVLF7/wBRznBAITWz2Q7GFCAElfR88OiEJ6dHXG8cQ7OgqCoW8wW/enNN17XE4Nh0Fs+AEWnh0aZEVlNCPUEFT8ymYVoJoE4LIxoZofRDWiyjwkeBG9YMywVKKQIBpaAIgcEGfPRY26FMQSxTOgC6RgqBz5scYapkVOctBkHoNyy6FW3fEIZNHu3JCV4WNQTomzVuc4PvltksMC1CQniIKuXMj7ROkeQXQhu01vTWJXa4LBDFBI9DioASHav2hlVI1HNUiTRTVDGhH1o622KqKaumIZDYGdN6huwj1jqk65DCMSx7ooh416GUxg49Q98ghgX7hwcIBJurC4SuODw4Zb5aUE9mDE3H4AaiLBI4pBLinVwJE1VNaUNRztDVlN4mh9VV72kuX1IYQ13PEHqGD5FCF0kn6xOFK7iBCPTeU1ZTbFAYByL0jLpT17XIYLNLdSR6ixIhIZNIiKkjo6SiMBXTvR2Urmm7nq5fUiiJ61fpml1PVRUoOrQyuOgg9MQg2d09oa72CSQvCzt02KHDh4GHhxP+8PiEq//wbymkpA1QSc20hOMHx5ggmV9c8ptffc2vz+cUs5K3X5xxsRo42inRMRmhSCUptOH8q6/44tVLrm2LmexQKMOqaXj9+oz5TsHjo2OOHz2gmkxYRUVZlQn1j+D7gfXQcN2teXz/Q+ZfvEZFiReC40cfc/XyBda3uMHinEPPZohiAqZOFLFNy1Ql74ZNdJRlSRCRfpUcXVU25pxMp0myEi3SN8ioMbpEOws60YLLaoJft7TSUmjFwaxi96Bmf28X0UX6YSDYgZvzG142A7/3k08okblLYVkvVsyvb9hsNqy9xR+V/Nmn/4C661CuYXlxyXK5YiUEnzx7j0IIghsYsrbZDZbNYs1mveFisUSclPzBhz/kL//Ff0LLFU+f3uNgUvHd+wc0h4lBFmxgtdpgK8HJ40ec7JxgpEFFQRwCfdPTdR22tyzna1brFUM3cHZ1g59JPvzBe9x78IidYheDwfYwdI7V9ZpIww+fHSF1xH11gdt0RFMk35iuZ/f+5NuWz98dv+Vj7+Aod0Vzp3DsUOfucIgRv+0Wpw2385HB9YC4Q20UqExrR6Q4rK2G/E6rNea5LWWVs6UkK53pwSMYQHLZTz96bLdmrXCmZuuiyGBE/vn5PCDT5kdJEWmf4PseG3IH0bn8kbmDve08JtA+jGVp3kTGkZ6dC/1czUPM3Vlu3eFHQvHW0DCbEA9dR7dZo4ri7xTGYwc0r31ypO3LHMeWiy4EZV1jisSukxn0HyUFyqQ/qxxJN8ZJSZFo+24YcDbdj9sIuPRnbQrKomA6mXCwO2GnLjE6MQqsj3SDox8ci9WG1abFx5Ean/XseV8QszmdCD4x/ka9dS4sE/X9LuywHRhb+cHoDzGaFQZ/y3q4LYbuHrf0/S1jIZLmUJuZhT4X8qNLfGa/xfz3IzB/W4CSWQNJ85wessqd3dQoikiEMqnzv01UYGvaLMZuN2IbsUYkJ4vEzLbMDAwhUEZRFDqBUSRncN/32C6dcxh18eMwzx39SJLsJTroHeNGf8uIGNMO2I5fUhErVZIYSp39JjwipIIQ6TPgl9kJeQKI47P2gSAT0+/2lO5COmTQ8LZIFySjZ5nZGErJlF9uFMSSUPvkteEcbkypiuMscPtsE4E2YEyJ8T7HWjucHbDNmtPa89G9XTbvXlCJwF6p2JsUzEpJYTRdP3Bxccnzr77m/GpB07stUOOC38pkQkwgx2a14VeffcXVYs3e/gERgXWer5+/ZH59zR/9+AegSqrplGpSY5oBKSXX1zesVyv29V5iJwkY+g7nkv/W/v4eN5eXtM0m3zaxNSa8m94RYyrgiZGiKNL8CYkhJBIzWAqR5guS2XcMEVOUOGIau4DafnYytp4qweluyf6OTI214Gk7y4u316w6xyc//g7SVHnfHxi6hsXVORdvXrK8vqIuC97/+GOU1kn+5Bqur+cMLnJ070EGt7IpdJ4Ll/NrLs/f4u3A/uER6+WSF199ydu35xwe7jOd1bz/3n3KMvmnRO+xw8Dh4SH37j/AVHWaOfMU7H2ga1quLq95+/aMtht48+Yd1lmmO1M+/s532d/bo6prRmJNiBHnPKvVGiEE/TBgjGFnZ0bbD2yaDh88e3u7/H3Htxb6XdcRAQ+0XZ9czLVBRIkdBkSOxLLWbhFpmVGlkbYR84MFKEyNETI5Z5O0Vr1tETEg84IQpaCYztLLTELsojLECH4YMBJUUeBEwaSuUS5R6YU0NHZAi0gsikxPSrps4R1SgdYFy6ZhcfY1fbMmDC0io21pMxCTm3q1w3TvEIoSP6RIhGiblItoJglRLkqkrhFRICdAVDR9Q3ADUlUokbTOfbsGUlyg0gZdFlTllM1mjR8aQrB54tUpn9UUmDJphpOpaZEnLA8hP3khMXlACm2SgZsFKQpmO/cxRYWPITtFAsEjgyXRpCUKxayskeWUvt/g+o75comUisHDcn2NWM9TNv3OAUMXiU3Pk5MDjicT7knL/OvPuF5vUpxW8FxfX9M76IaW1gvKaoeDwweIYoKNkqFtsW2DDwNKa6z3eJucO3tvU1QjacLo3JA6GqZE5ixdpxRudP51AoRJzBFrU+TQZgExIrVAuC6j4unneSERqgalUoJAzGYs0iCL3TTGIsg4wOaa1vVp4+h7ohuylECANMDoDq8RyhCE2mq08BCFRpgpqqoQxQRT7yMysGO7JcLsoIoJZTmhqGcYYyi1ygZ5LlHSbY/Lz2+1mmNwICs6PxB8Q12UYHs2y8vkQ9GtsN0K4S1dt0qLojao0HFx8YJ+cGw283R/zSwZBsZADAO4BtevEDGxdZxU+CalWOiyRpkaj07GaM2GoV1TFtPUxY8OAVQ7B0wm+1AUCJN8BaJQqDDgiRDTxG5tSsIIwRLxBJEW/SE4lA25W6cI0UAMdMNAbxtm9YyiKDH1BCEDg5giiwqVI/hkXjyFUriYOgU+dBB9ilPxLnUgygIfFQfTHZZv3uKiw0cN3qMIGOnZMTusLq/4+vlrlrMp/+i7T/nn//2/xDpP0IrptKLvB8qJwSDYrBqev33Hqm8JSrK7v4drGq4vrlnZwGa1wRWColBsvKWzaeNflgrX9dxcXlDKwMP3P8AMluV8iY3g2oapWDLZnbJeDAwhJYDImCjMsTLEYNk0C5xvMUSGrmWyu0sUAmUkSlcIYupyVTV6UhGadWJIZXOrSGRYzRnKHUqzi5MidUENzGYV01mJ8p5+NWd1vWR5s+LV5YLDn/wB+/UOwfbYYaBbrbh8d8bzt28oD6bsHx/wcHeP2hvWzWu6+ZLVcsHzl5e80hU/qieUyqSO/Gag6zesrhacLefESnLy0QkP9+/RXa7wIvI//su/5uBoxj/+0084lIaiKlgvN0yKium9XZ4c7DMpplSyxA2Wvmtx1tI2G5pNy7tXN/ziy5cMoeFqOefxoyOOT07YLWZMij006VzatqdbtVxfz/nPf/5zumLg/Y9POH16j0+rkl99fsbVeknvLZP9+tuWz98dv+Wj63sg3Gq8x19iLCLYgrupIIUxb1zlqLBxYyql3haQt7rs8SeJbTE3dvBHza9UMnfz5fbLU8M9EJ1PetYQM3MuFxnbLrLIIAVbSrobevp2Q7NaJv8gZ7egdIhprRdaocxdY8Dcicyu71IqyskEXRQE6/BZSzwmCmyvauyGMkaSyeweP+qrI2rs8qvkMaBMKhzHTvY3jsyuGCPGpEr3VeZ9jjaJ3Zax8Hyz4p36LzLS2kHkyMAMMjRNMhtm7KLfegAAVEZRG8GkkGgctrOs+4F107LZtLRtR9f3WB/RRYkuaqQy22LE56JuJLGHmP0e4h1zOiESKCJzt3cs+TPgErJXxH/hBzB24DOrIubr3tLtxz9nI+VbSUP2nyBu6cuE8dforh+yUV0eY1uqvkydUXKRL3VmTdzGQKLSvjL5EqjboiuDLaO3g9Iqd89hS/MPIRvcZpq6iMkMsnfJULrv8UOfTQFzvO8InOVkhJjb6WL7+x2gIpvhC8b7lor+0dtgS81Xmih1Sv7KgFLqxMvcATYonZgzpiwxRYkyRQb1BDHPH36k42fQhHjHdyM/JwH4DFhIKVFaobVGmwRQGWUoct0SxiSKHGE5Agy3c0iS1wgfMsvAJcBKCR7sC5rLM9ZX51QKQt/idGCQhvkqNRUvr25wQbJ7dIwPX6dzJuYubhrXPkTapuXs7IKz8yt29g/Y2dlh6Hrapkl+Hpkivx2vIaa9gFYsl2uGwaZrFelZXF9ds1ysks5fJ58qQUr4CfneC+J2rvExJrlOjk3W2aNM5bEFyU9EKZ27+DKlk0SPNpoYFFs2ElnCIwS1DDzY0ezXab5w1rFeNzx/dcbbiwXPPvkeZV3nd8izXtxw/vYl3WbDdDbjwcMHFGWBHXqa1QrnHOvlilev3lBMdykndTJJ9akJ6fqW6+srmmZNVZUcn55iioLpbM7LF6/4z3/1UyKRjz58j6PjAx4UNcYYqmrC4dFR2kPJMZIyXYv3Adv3XFxc8tXXL3h7dsFg03h57+kT7j96hDYqgcfBp3oCge0tL1+95ec//xW2G5iUFUoq7p2e8vzla9abDVJr6un07107v7XQv7i+oq7q5CZYGBwSvCNaT9cPxOi23WqJIEqFVkn3VRYGYyoiEqkLXAg5vztifUh0XSmoq2mO6RA4H9AokKAyhX4YAiJaghIUpqYLEnuzYbW4YH7+nPXNG0xVUc72MdWEwlQUUlNOdiAIbExRYMoZrufXnF98jW0XxBBS3qhIiGeKHSsw9QylDbZr2KwXhKHZIrvS9nhvGaxDuD5NVM6mBbKYoie7UJQIMUvUem/RpcjUoQIZLKY0NOtrhnaTqd8mFUhCUZQFuqiTe67QybV3dY7PevjtoqmT9q8qdzBCoY1BGpWYAih62yMzwNHbARk9UaiEPoYeN7RcekfXbnD9KsXdVROUNClKsKiy3tsTm3fUQdC0DV/cvORv2oZmvWLwHuttNjJKKHOaHpNpn1GKdv6aavc+ZnJEkAYvoA8ev+kRIqC0RDiP9j191xCiz90VjZIV0QmEKlBSYqTG24AxKkkvRJpoKjXFa5M2Rn5g6NZpckUh9QwRPQ5QxiBCihuJ2URL+IHoLcG65EDvU/66GNMNbJ83aJooDcKkAlZIDaoCXTI2V8iRP0FqRDFFmyohwZHEUqh3idWMKAVapgUjepc6qtHR9W3KRp1NOdnZZ/CexWZFVZUIKrxt2S0EhEDvWsqqoJT7tPNz5u18u7HohxZT1OBIbAipiNUMpEZJTSTimkuCbQn9KsPNEzBp8ogxEIcWwhrb3mwXfSEN1jpiACtvkiFk3uStbl6D7RDRUijJdPeIYnaILKbUu6c4UaKkwMtIUdUEXyRdqyTdy5A6UTYGyqJAidQljllT3/vkim4ydX86OcAUBcFHBjfQu2TeEpxFFyQ3XJ80hIqYmAZCoJVEEJgZyc27VwjnKIok9yllYFZBe3XOi1dn6Af3+Kff/wHv/vN/5uevLnj6nacc7cwolMDsTKi1pOscl+/OuV4ssdZR7OyyN5vQLFdctw3vf/oR//4//wWH9x8wURUX8xVGCVonMAiW1ze8vjjn937wPaZSsVxeI3cmfPDpx7w6v6RdLDjZ22U1v0posUiLYLe8oCqnuG6NwKJEKnBUaShEMnrZ3Z1Q1xOa9RqioxCRwhRYYxiGAeeH5L0hJMNmhThNSPxkMqMuNJ8+rfjkkWFHK7rzS65ev+b12Tm/fnVJ9cETPrl3H9cMDEND3zZcvD1jFVsefP89Pnj6IaLzrBdrmsWc5uaG9fkZV5dzfnUz59P/9k/ZK6e0yw398ob1Zs3NfAF1weT+Lu+//4wyGDaXCzaXV/yzf/Q9/uTHj/irz19yenzIz//nv2ZmDO//ULN3eMBOXVPqAt95BtsRfGL7tJs2sQPeXPH85Rl/8/UXvP8H9/jgo2fcOzjlcHKEbyy2G/DBMTRr2s7S9h19P/DwO0/Q2tMuVnx+c0Z5cogxBY0dEKXi6N7Bty2fvzt+y0fMKS9iFCnfKZJ8pjaHLU07uUYro5MXj77jNP93O7R3Oi53C+mxkzd2Mbcd/8i2a04I+MGyWc65Pj+j22yQSqKrCl0UOfWmSkzBXOQH7xjalm65oF3OcU3ycRHELZsdIUBrRFGmNJG8YRw7yKNO/pb2PNLOYy661RYEGE3Lxqi3baHPiJOILTU59zOROm3MhZTZ8M0nym4co9xG87xcYGmdZVfp3PxWGpG7q+Pnx79THI/X5Fzq4g8D0afYKFUUt54DQiCjIHhouobNzQVvvh5wNhWZztokz8rFFiH5/Eid9kdFVVPW07TPKSqEyiAECez0PmQH+ttCXwoFMiZJaJRILbfrVgRkjMSYNMkqpoix4OStl4Ef02EyqJA/eMuM2NL7xw52Ho1bVsEdMItUzI4dd0T+XY5girot6EUGXEaWipSgUqx1AmLSeyG13soIkh+DyLR1tmNpdJuH2+cWM4DuXU90DqUNRmsGLRlaCE5sG1IiF+G3b9rt+5U/dQvMjfdhdN2/pe5ndsGI5nH3XYU7N277dykS0KB0gS4rynpKMdmhqCaYapIisAtFRG3njnEPNX7kyA/YDoj8noRRQqtUnmeS5FBWRWZCpOI+yXOSkXVKA/G4kFKNlLXEGKhKwcGk5+bNS2S3oiyKFC2nIkoEXJ/eh5OTQx48esSXL96ybnLCl073Vak0LpxzrFcbzi+vaNqeZx8eUZVFkvQ4x8MHD3iXr2XoBpbLhsurefLAEoL1psl+WOk6o/Mc78344acfcbVMnX2bmYzjnU6a/PQui8yccNZuGSdlXeOd2zIkRiZRimgcJSUjYyr5DCRWVNiCi0bCg13N4z1DIdP7fnV+xYsXr1k2Pfun9zk+OU7S475jubjm8t1rtBQ8ePSI6WyGlMnrbOh7+r5jOb/m5fMXtN3ARz/4CF0UdM2a1fyKZTbcq+sJx/cfMdvZw2iTTNJj4L33HnJ4MMv3QnB2ccZss6GqKmY7uxhjsiIpA39ktpkduLq64vMvvuLNm3fczBfcu3fER9/9iIOjA0xRZoDP4r1LgIqQ9H3P1eUVSip2j44QApx13Lt3wmK14vXbdxRVxf7e3v/nhZP/L4X+46cfY7KmKsaYB6lHlYJqFlB5MR0pPTFTZqQQaFWkhxhjzvq81XQQY3LrDqkYIQqEd8l0oSyx0WPbDhE9AkkQiqEZuFq9YLO8Ymhu6DcLEIJqZ496Zw9VJOftrutoho5wc05wQ1qIbYfrN3lhSbEdQkqi0cCoSaqQukxzcvAZVXXp660juLQZDONkkzugykxQ0310PcMNA8roBGLYmMz6qgOkgKZZJgbD0KJNRbU3TXdMJCMfgOgD7fwGESzeJX+DGBwikhz3ZQJaINIjWKWwtPTKSYks6tupLwLIlAxgSnywqBw3FHHp+r0HN6TFNloCAuNrNouB4LrkRqkEN0ozdD0uBEIYEIDObsU+I85ixH5D6mz0ImLDW9R6gapmTCeH6Go356EXhBCx3cC0UqhyDz3bp+9alJBMywlCG0JI5h4Q2SwXCG8pJjVDiETXY22Ht8lFNNgOpUVyXdclcugRwWWtj4QgCEOLdy3R9tvFRagiId1aE2UCR6JdJyaINCAnieWhK4QqicogiglRVggSypsWg0AyoMixTN6jVJHpXpKqSl3wGAK6LBOTod0QfUvwgkIogrC0yzlvVhKjIvVsSvPuOdN6Qt/1rNYLlFb8wQ+/z3rVcrW5yv4PFdIIQgzs7x2hyxk3y5ZIyl5WUiGJhH6dnOdjBFWjdg+ShioE/LAhuiZJCoIF7wlSgATnBqJfIUKiPoIAVaTx6zqi6wAPUhGQdKs5sm0AKM6fU5RThNKU5TRpP4spsqwJqLwBTQj4tKjSpst5lFQJCBI5wkXrNPFrg/MQhp5JUYAsMz10lsyqYnofonMZULT53fWI6Cl14PdPFfZXLVFKfEzdpOh7VIxcX16x9/g+P/j092lff82vPn/JQij+yaffoRIS7yOTQuFd4PpywdnlDU3T0HQdj967RyUlm/mCnZNDkIadvV1qY2jmC+aLOcZIusbTtS2XZ+fUsz32i5rVxQXPX7/h4UdP+LM//q/4v/9P/4JXL1/iM8ujmkwQSlBPdyiLEhEdpjSEbmAApC5QsiIg8d7R9gNDb5FSYxA5Zz6gTYELA33b5VqiAK3ZrJfUUhC9pTCax3uS3aGhu15z+eIVX795gTvZ40/+d/+Q+6fvY1TFen5Ds5mzWC1xpeDDjz9hx9TU3tANFt90bOYLVvMbbpYrni/W/Ff/mz/k2ZMn0A7crK9p5jcs+pb63i4ffPgdylhQCI3vPb7zfP3r13TDGQ8fHfPHHz1gMply9M/+kK9wzHZ3mepJWkeGxCqzQ9JQDusNq6srXn59xk27ofUdk6MJP/7J7/Ps9Bklhtj5ZCYFWNcRwpqAIgyB9WKBEQ68ZDqZMbSWYm/Co4MDvnr9impW8OTk6NuWz98dv+XD6BKpssfNnYI9/TcVFiFThIFESx7/zFjCZ7r6bb0x/rb9qm1D987vqWmfO3XOYbuGfrOhX69oVku6psE6S1FPKGdTTFWlNZZI365pV/PkedG1DF2DH/qUKJLPW+Quv8iGdsIk131T12ltCslnJMXcpSJ6dJEPzt8yG5RClyn+bIwL3HoNjPdDjN3TbXN6e7HjZhwSc8j7/DP7PjMNxhzyO3c1U/e38/Xodi5G53qxva8jKWBLa49j9KHPxV26DqUVos1zc143g3e3XfdcSJCLUTkWjICQMZ9W6uAmKYLHuQ7ZLFGmyIZtBcpUKXlJG3SOzBsBntHQMSJwOXqQILaGdncTCsLW8DB1r7OiA0nInfGQC5pIDIIg/PYejgXt2DBgBEbyDduazilzq2dWJvlZKYNQowzlNs5wjFUci+0xXjGBMgpjDKhb+YAYHeadwwVLcC57MozP+/ZliRl0EhF0kXwwCJ6h71OTJe/zR2PGEV4a3664fbO+OeZidqzPRUQqmkMghFT4JVAkAwBbU8cI2QAv/Z478aNUUEqGjaKXCmkqhC7zcy8wZYUpJ+gq6b1TgtboIzGe9d1zZFt8js76W2BMCLQSaJlZMiQ2gM/9zdGAz/mA9YFgPTIGDkzFXjzHLTYU0ad9mrNIUVFVBaLQTGdTDk+OcUHy13/7G9bdwI8++S7TSZ3GFBB9pG87bm7mrJZrfAwcnxyhlMQOqan65NFDVvM5tuvxDLRtR7PpEVIQfKBpWpx1iWkUE9Phwekxf/YPfsL/61/9BZeXVwy9xWiT5kMhKYsqjan8rvvthJrYN5PJNEVhq9FDYQRiE0AYEVsTOZEBKpDpfjmH8I6ZDjw5nDIxHtsPvHn5ihcv37C7t8vHnz5leniSPMyGluura1bLG3Z3ZxwdHmPKOgFzWZrqvaVZr7i4uKAdBr734x/x0fc+RSjFcnHN1eU5WmvuP3jI0ekDiioZ4QkE1lq+/PJrVssF9+7f49HhAVWlaW3P7v4B091dtEk+bCHXkIHk3+CGgauLc7784mv6vkeaVHd+8r1POTo9Tt8Xs0x7BEOJDEPP/OYGoxQnx4dY67m5uaFrWw6ODnnw4B6//uIrirJg/3Cfv+/41kJfBnB4VI5IMFKjS4UimSsEbxk2m+TISkjFu9KJsj+62caYaM0xYvKEJKJCK43SyfWwXS0ptCJoR13WMCQ6NnagaVrW7YL14hLXN3hvid5hyppqus90fx8hVdJlbeYM3TpNDt4ShiZRXDL1DKOR5O66qUAbyrJCV1MyUygZXIRIv1kT+iXRt9sFKIwmPUpjqhnFNJnVFUWF7S1FmQrttlljXYv0PYRJfiGmWECQ0Got0j0aho5hsybYIXUefaY/xRzVkWnm3qeiPwvM0uYj5oVUaoQuE4odQqb4pc2/dIGhnxOsZXA2m7nYPHHJrPURWLtBCMEwLJO+X6ZnGTwpxkhICAMixiQJkIrg7XYximRNokzesEKatOhlNLy1LRqRXIaFR5mSB6cnPDiscVJwuLMLqmTtHEM3YDvH5bphsVgnbb5RuBholnOCGxCmSBs5XWCkwZdTfL8g9h1CpqgZRKZU5fOLUYEoE4NC6rQG5XsSfIuQhmAmUOxkzwWFMBWiqPP4SBQ6gUfLiFYQRno6Aa0MxhRopdBVBQim9SRFDzqHj+m8hnWDcz3e9gwxda77zU3e7ARCdIhgqeuaZr3i3vQ+GElbJP3Rz372t2z6HmMk0Q8QYxrXRc3GQrAtUkSC7yCSqesGVJlSHhAEPxBtg2svwbbpHsWQtsFKgSkBiSqr5N4/WKKzqDi6HTtCvyC6jkhg9LYJISDzBgNlcChcn75m0yyJc0OhDWU1BVXgPUidaGFG68Qe0oYQ6xQpFIetwaYxektRUwH6occB0hjqsso62LSxscOAcw7rNL0yTKoSISKP9yX15S/x0eGROTZSYPslMVTsPLjHo+Njurdf8fWvv+Zf/dXnTA/2eXy8T6VAiMhgHb7tmV9d0PQdbTOw6i0P3ntEtIHV0HNw/z5+2XGwv4tynsXVguvesi9KvLWs7YCPMCkr1heXnF+fc/rhUyZOYtcD5XSXVXODD2G7eBhTUE1n1HXJtDQMfaDFgwgIrSlMgSAbGvmYugkiUuhxkydRumBoBG5wGUGXTHcPKYqauppgtGZ3prm/VzCcv+P61Ve8ur5E3N/l0x9+n+Nqn25o8U3LarNi0W+49/ETDia71NogXKBp1/TNhs1yRbPZsLiZ8/JmyXs/+oBPjo+JaHzXsVrNcTU8ePYep0f32ZnsEXuwXU/XrBncwC9+9TX/+pc/4/R0j48fHfD97z7l9GiXH330EbNykthPzuK8S++YTSaV6+slz1++w+4KPvruU17+7A3tVPKdJ0+o9YTY27SWBJ/MZK2lWTksmrPXcza2RRKTrGkx53K54MOPTjk9nKE8zHZqptXfT5X73fHbP8bCS0mVIt3GTmOuQUIIWY+diz4BgjvFTC7kVP59S9cfa6xtJzUdIncTfXbMtkNP37b06xXtckHfNojgkUpTzabsTmeYyQRUcpm2g0205q7Fdg2ua8Gn6CUpJKJIcgKhbunUSutUqJcplUIIgfcO2/ep2PEusQhzV1EonQz6qgpTlllSmLZ1I3341llcEHJzYezu30E5cm2ZNtg+a4idHVK0WE4pIH/mbbE/dqpj0tfGuPVQkPmaRop5bvPc+f7MRMiF221VJYn2znlBKnRziSiFJKrbWDiBzAVyWodCvO0by4zohLGADKm5IUl+TYGkw96bTNnf22U2qSnLIjFSldo6ji83HdfLhk3vsdYzDJbOJjr9yEpIdXpmO8gcKyjU7boqxw55AC/uyATG5wNjKczYnWdkFqR45VTcJxlHFOP91SlGNjvdj+7+o5/FOPbVNmkgmeylJpwn2CGl+jQbXN/ibU/wdlvkfwOAGs9Liu1nr0LA22GrtRZCgAKZm3hx7OYydvRHsCA9JPGNcRpu71H0W2BBkN3kR/PLzK4J3kOwt6zSO135LWwX89h1IKIj+h7fS2yT9N9Cpc6/yjR/U1aYnJgxsmJSgoG6LfLFCAhmJlFMTcukokhfW2iNDxHnE9MohvwcFEQdKUTg8W7F0fqSQQtUSODG0PXYoaSuj5jNJkwmSS787//ip/zlT39JNZnw7OnjxPLLhbJ1jvVqzXK5ou2T+eXh4f52flRKs7eXtPc+RLTWVJmt3fU9XWcTjT8mporMNPwYQpLCNB19k+KyjUmpWUJriqJKJstCIpD4kOUBIhk7llJhTJHW6e0zIYMjOcJbxDxOJMqUFFVKeQrO4a1lt5Ic1BD6DW9ev+TNqzec3Dvl8dP30JMpUZc417O8vmIYBh4+esTO7l4CEvI48s4y5Hi81y9fcnN1zZMPv8sHn3wPqSXNZknXdZycPuD49B6T6SzFkooE/IQQsM7x5Yu3/OVf/y0ow5NH9/nxD79L0wUePnkPZQyImBMz/NaU0w4D1+fnPP/6OXU95cl7T/n1Z1+ijOajjz+gKLLf1wgCyjQHrOYLzt6dYW1qGnrvuL5Zcj1foUSkKEtO751yeLCP1Jr9g7+fYfithb7RCiU0Ugo627NcXKaiKEZWXY/AI7SiKCrqIr0ccYuIgswu71GopBNHoHVBLSVKJl3HIBS7ewcEF1HC0rQbmpsbbPRcr2+SM34IFJMpQUkMMJtMqGf7SGVY9x1t1xO6jpCLM2fXacLVRXL4lyYtgCbpjk2ZUBqlJVpo/OAItt9qKLrVFd5bikmFMgcJGYyKQmmMNlTVrRstPq1ehfJ0dsANPegCJQSl1qiizjE+HukHSqUYnGOzuQYfcqcg4mOSA6SFMtHlCC4jxXfyalWa6ISZoMwEYSogRTaEYBHeEmLqyEbb4YekPSNGgh8QwSOEJuoipQAohQij0ZwEWSSGgQDCgM6RetEPCT1GE6QhOpvRZJkm5HDbVUimL9kIRplsTFjgg6ewGz58dICqavargr1apg7J8jJR9oRgOV9S6gJurjnVgZPjUz47b1hHjS0OMTqZPUZrU7yI1AxDi5gdEQGNxSLp13OkgGJ6gB86xHQHj9hKDoyQRJlSHqRUoIrULfYOcnxPiD4BHMETQpMYAFERfI8VZercm2Ib2aNGl9oYCELRNusECMTIYAecbYntAjtssN3y/83efz3ZkmXpndhvCxdHhbwyb96bojJLt0L3dE+DGM4MYEO+0IxGI/nAf5XGlzEYCbIxbACNFqVSXx3qSFdb8WFt9xNZQBfNaM1+Kre6FSIjThx33773Xt/6BMG1KGWJ0WdqdjbVUYah70gofv1+J7FLJhFVQU+Nra2ghRjKiwdEXaKTo99vUHRga6gWKIx0FUIkuoNQWPPih5JNArNzUdApTYqaFA4CFESHP7RoX1DqSjqmwZH6Hcm3xNhnUEiQXFkANclUeNORTElVVujZKR4tYy9FnO8Ytk02OAwC3CATcqkNs+Upi9VDVFGJ3tPWGDRt8hSzJSomNt4RVUTbElvWtOWMWVkxBE9dFBTagpOOWRl62O8xVvPZJw/Y/vqa1klHyCvFaQ3vv/mOH/74X/Dk/AS3XvP+/Z7/21/9A/9wveWP/uIPmZdG/ARVYmgHNtdrbtYbtm1D5wN93/Pxh8/oDzvmpyvO5gveHRpmtmR/fctm6Pn0h59x88XXrHctu75ncboiJs/tYcvlRx9xXs+5/fo1B5+o6pqHDx7hwkBz6OReJelHBgwhimlnTCnHaYqRVWkrUjR4E0QPmBknw+AF1CAKK0NJpI5NBdZWmJhIfUd7957Fh08w11s2V6/ZKc/TP/whH33wgiJa/PpAGxWDL3CF4sc//ANWRY0aPO2hwceBtuloDw1DCmw3t1wNO374F5/x049/inu/Ze8T23aDOV/y2fMXzMs5JiiU8wxtT991HA577m42FMsZL9/f8na/5ZffveXf/v3X/Pf/05/xf/6L/w7rFN73Qvt1Xdbk97z95g1XzR3P/ugFzy6e4jcDd+Ud5/WSpSnBeVzb45CYIO8c26sNN3e3NHjOni6J7+bs1luub665OezRZwtmdcnDjx/x4sEl+mxB7MJvL5m/P/7/eIzr2LGRFyZdrXRNlYDxjN1k6a4d3bpHN319pJ1PXWfpvqeUpsJ+GBx929AeDniXndC9R5OYn5yyOD8XmVkp0a4xij512O/wXfaJcU7Wv5QoZjO0XkqXPYNvxgqF2pYS3Thqib2TQjv0PX6QedbYgvJUUgSK3Em1RZlTfBIhRpHnhZAN4nIRcs/0TK5fLvLGr+MoCfBE5+RcJ1O5e4Z+5KItO86PFNwxdWAy5jJHs7cxLivcd49PWeYX77EDxgaBylFo0/+nqSs8NQSP/4WMPOTPBb1QMU7dWCEU6ExPz/8KAeTFc6lkPqt5cLHkbDUTZ3+d0ASi9/Te0XUdm92epulJylBogy7F+yFEYbGN7JGRcTBt9vPn903mRjbD8fx1vq7jdcteV2MTPR5BgRSPQNQYkyjFp55OeOqcZwaC0ko08Pm3QgwEF8UUrjsw7He4dkfoW5Ey5vdLZpmQm1vaSvNHTZ8fGXcylovMGlGTYWQiTf4Mkx5/TINgBOrSvesxXp97YyPfX8moB1SaJA/BDyTfk4JHxexhMI0QprhNpTVRuwxU2PxPCn1oGUbSghoZKqPev5TnM7vF26IQ9oe10/Mrn481D1hjqKqKqq7EVDvT/b3zDF6ezYSmKBIX8xnVticpYc+mFOm7nqGvsNZiCkPbNlxfb/ir/+U/sW8dP/jBMy7PV3mPBiFGuq5ns92z2zc477Fac3Z2KgBSnuNilNQqlMaWljJBWVVc3665udvSDx7nHEpN/US6rme93gqgoEBpiy1zEoYtchOCid8gl3CUgAgzJwQ1jf38sE8MJoHphLGhFRRlTT1fYIyVeswHVrWhUgPNdk273/LRR894/OIFqigZvMTmxQTzxYIPnn9EWc9JSeL/fOwmH5TdZs12s0Vpw5PnH/HRDz5HFwX73Yaua3n46BEXD56In8s0eSAMyebA61cv+ebVW755dcW+cfz9L7/jr/767/hf/8s/5sGDJ/lZD1m+MOD9ILG/6w231zc8fPiYR0+ekpKAMy+ef8jZyRKtZHzHJJL2vm3Y3t1x/f4apTSXl5fsDh03d1tu11u0tpyeLCgKSR95+uQRXT/g3PCPrp2/s9C/2zYE32bzuYJ6uRTXSaVZYUjBUWhNgTiOB4VM5kSST1ijcGMeprGkFEjBkXRB27WEoYegGcKAG1qGbo/DU89nLGZnVKsTnB9kMxcipwp0FBqEazuwjrqck2Li4ITSBoHZ2UMxHDMltsgd/BCFCkRC6RKrNdE51vsNzfaW2B+koDZWDBUevCAqS6WlWE8KBt/SbG5Z370nBKHyazVGeylC0ihbEaNHJ08HGNOSjBiXxODpQy+d+ySTY5K2c56kIBlBKZVKYCtBa7VB6QJjSrAFqZxRVEu0qlEx4oJDq4D3Lco7VOxJ0cHQQxjQSZx5dVFLIW8qUso6dWPEWdXkaCBbEVwHocdWM2JQhNShy3l+iCWTVc9OhVGQ2QfjJP09upYtMeUKU89YVobHFyvevv6S96+/4OL0nG985HC448Mnz+i0xfue5ES/+PLla5rmQF0W/OLXvyRoS0wWa+ekxSmmkKLOodEUEAbUsGdobiH0qHJJPzisAj1sGZIS3wdbUpcz6vkZhSnwKRH6Du9ajI4ErQnGQlK46KXz7TsBWqqKlKAqhQImHguGEKSANSbJQxsGfCTHzykOoZs2T37YMjQbkh8A0XJpEwRsIEFRgi5IuqSslySt8SFJ56aQjk3qtzTbNaqoiKpkUc7wITIMjqJeCZVPQUSjslFdik6ev8MOpcHW5zJe4sjyCDImUjyi+coQtabpHFa1xKyDVzkCZzSZSkm6X1ElVFIkMujje7ruDnW4Qdl6iqCKPm88dZlR+yRAB5HgoblruVu/k0XKWJEB5cW/qpdUy3OUrVksV9RKsSzGeUmxqCtS9Nxub0S3H2U+8j6yWFjiDlTqMblrkoyhub4iLEvOTuekLvDdb77lP311TTuvefL4AT/8+DnLqgSXcEl8Inb7Lc57Nnc7OufR1jArDH30PD57zHC34ebqmru7De82e559/CHc7HnTNmw3O9aHnk3Tcbte8+kf/5wTW9Le3vH27TWdh9AN7PYH8ckgCV0uyXsWkyqfO4NMdGUxXEL0b17SKLpDQ9MH6rmhKipUdCQjlDljCgpTYOsFha0JKaAqw1mt6LoNB+V5+pNPeXz6kOSCFMTvb1hXcx48/wEPLy5ZGSsdoegJUYoToqffHHi7vuPixz/g8Y8+5LJWFG3P9nbN3Spw+vGnPH30iKWpJIHDR4ZhoD0c6PcH3vzmHb/57hV//+1XFPOapuvZH3qYVXz885+xLFdCV/QHhm6g2x+4vr5m27TEReTTH73gfHFBEQra7ZZ32x1PfnZBPHRsu4HhMNBHh997bnYbypnmyYeK5cULfFPy5ctvWa8PtFpx9uwJT5885kE5Y2YDf/rzz/mHu/cM/T++sP7++Kc/hI4uZmEARLFwZZyHlCKMGdtprE/T918kkanFCRUTIjpDfj/r353PbvfOEUOins0xq5Voz7ObdHYOza7lWY/re4nSC+IxZGtDqsWrRbqRJtODdda0j11S6eSFYaBtdgydrBdjHrU2lmo+o57Pqaoyd5gCbnC0uy1+cEQfhAU5Ur6P7XEmygL53LMZWQq5uB8jw0YjubHgzkXPWCRPUWVaJGFCBze5gzlS9gUwiTE70DtHch6FZ8wvT+hsWDi+wxGMGV22pSicCsT8/mVbken8aiwU800dS/3cbBhV4VqrHDWf9fVGi6GatRSlbJQ1ge36mv3de0KMVFVNWZXEEFjf3bLZrHN+uMvjafQ0EJd7Uy1R5UzWyyleTyQVKX+uUpJCSWkwYq5oy5nEF1dV7t5LQT/5TYR8j1Ka5AIjE+JYA4s3kMr+FcTRj+FovBgzODLKVVIcu/gNvjsQ+5aYi+XRPFDqnAwiGInJ1VZi99Sk/b83xvK9GTuTRyDpmGRwfO/Hr+8DHt8zJZzG8RHIkQaFSNCiUlkm6kjei3cYxz3+9NTnDrwAfUEaUNrfo+jrDAZ8n6gvb09BFgiZ/LyjjowJpfN9rGaUsxn1fMZsVlNVFaNxZZHZeLn3DpkhlKJH60SZDP12g2s7gtYkLY1AnWV0m5uG6+s7do3Dx8jFxSk//Owj6kIaPQkIIXE4tGx3e7p+wPtAWRecnKwmM1IfAm/fvufN2yt8lOZYSAOD86y3e7b7hrYTB3cfhEkcgqQKjNcDREqrGJ/5Y5TitOfPl2kCUDMqG5yTphmKIjM8jBaNftKjRt9QzeaU1YyEMDcLBec12NCg8Tz76ANOLy7FXT/Cbn3HEBUvnj5ndnKOKWSPnrI/wjA49ps1m9sruq5ltlrxw0dPMbYgKcXm7gY39Fw+fMzZxSO0rQQ0TseO/H5zx7dff8XrN++5vlkzBNBFSfCBfhj4+c9/ii207H1yLdS1ew67LYfdnhASl48eszoRRsXh0OLcwIPLMyDinfiftE3DZn1Lu9+ilebxU/mdhOb2199yaDuKsuDB5QVnJwuMlrXryeOHvHv/nt36ln/s+N3xelWNnlWSSWsk2sLFhAuOUmlMOZMCJQaJywqS0x3CQG0sSYs5RXQOayuc0hxCYDhsCW6YjBxMAlXPWa4usUbLIjt0uL6l7xqC73BDTz1bYBZLqrLKj71ktFs0J9Ucc/pwiszRSpHw4gjdbInRM68XWFvRdwc222uGZiPopZKYEF3M0MUMYwz73R0JzaA0fuiIwdH1B5zrZI1H9Mo6ZQqTMaKhHw4QHEkltCnxtCQC0fWZmi1F1bhYicReuuDaViRdYWcLdFGBEv241iKHkGIooQuL8oHob0gxURmF73pUfwBksY6+BT9IMaZz5xolqQmlMAHKqsZaS3AB5wZiHDApUcxPsUWZF6uEJZG8p6hrUpLcdtD02eFdq+KI1Js8GQdPaSKEO+Lulv1tS7Gt6IaO2WrFq7dv2Hrw7Z6hGTCVUFN22wPbu1vRVBudaeeSzSmXak17uKKsSk5OTlGmpm0HorK4ww6GThaJsEVXSyhX9NGS9FiQigFZ1/e0fsvgu9xRTpjO5AJXgTKEJP4SKnooa7Sxkn/qGnTsiZkdIGt+hdbgD1uhZypBFFX0pCRFUHItOhfTR/Mj2WxppUmqyPIHoQyl5KnKFTiIvmPoNgSVCEqhqppqdoYN0kWKWdIiUXYwuJbkD9PGRGXNVcqsjNDeQHBk6F30cVqj7RxTZAMmpXLEZKQsLIM+gGrBG5KKYvI4biKVGEnlSpNReoIpQVkp5oaeKTYHjdItSWe9oSpyd0BAE9lsymLrk0IXc2LyNM7Trm+oFpf4YBiCIWAoy555VctGPAZ0YZjPa8q6Akp6H5jbgG/WKCJt1zMozeJ0wfXthj/+808p9j3fffuGX1zd8If/+l/yg29f8+8W73iyXELUdMEzn1dUWtEPjv1uT+sdaMXq4hy04uTyATZEXr99y1ffveSbV6/4i//pL7k8Oefdd7ccmp6m2ZOA129vGFxiWVQMdzdcXV+x+PAhq/pr3NDKopmMjJ2x44MiBsmtD2FAqYR4LSeJYVLghkA/eAYXiEn8Usr5iqIqqYoVZXTcDIG28xSlZXV5iR0CVg18eFly6vfEOTz64CEn5YLYB/Ce5nrDm6tbwkdzfnh2Tq2sdACHXsyZesd+s2d/u+MXv/oKd6aonOHs5AxVLzl8+4r3dxvCwwseXjxgaStsgMEHuu2ewTvWN2vWt1t+8+YVX717x7fXdxT1jJOyxrmBn//pz/jxp5+TfKTpOg67O5qDmJm1tuP84xXnp6ecnz5C95bmbst2vSWViQ8fXXC43XCoIzYVbO72bNs9q6dLnl2ecxF6gjZsfcn1uqErDQ8ePea0nlN4hQ89NqdQzOqa5H7f0f/nPFIQmnxhRYYybs1z7SoSqpi71Yw08+P2HY5Fo+w/pdMcQ8hmbKNGXDbHRT3Lc5q8UN82OOeke0fWO2cKtEKjKrDWEudzpN96bBImNW6Cjx4AKUVSiLiux7UNQ9vgul7050pn5/oSW0pEcd+0HNZr3NBn47fsgj4VR0xFlMpF0nj+Y5Eo2ezZCC7rrMcfEqZPLmKsQlmb/36JtaUY2o6FvdZTNNt4xCyZ9M7lmD5hQEzGamObcLw62QFenN4L2ZuMuehjcc9Ia89XLRdbI8Cjjnb+eSxkEGfsICaRM+Z2eO4CO1Jw+KFD9P2RNUeQoyxLiqLAecdht6XvxK9oLJqmgjlBcorgWnQxI5mSlBQhiM+M7PfSdJ2lbhSqeEpKUnyMI4xjeDRaTEFM/Cb2hZqAmuM45lhIMRbnMsbGH53M5MZrObI3gjBYoxP5YMrAvoAD5sh2MRZdFMciP9/7XHIz0ezTCA2Eqag+ymCy0d1vFe/3jQbTb308jpMjMCDXIt/jjCuQdfjKmDzIgzz/E30hfe8qTFduBBTG4lsh0tSpWNW5yJd/KiUIKY81RSBm0EDD4Ehtj9nvqecz/MkJYT6jU3J9jNZUZSl77bKktOJfEb1nVSu0O3DYbRi6gDaRSCASmc1rhr5lv9sB8OzZEz6/23O7a3l4eSr3Ocp5eDew3+04HA4MzuNj4nQ2Y7FYEDLlvGkavvrqaw77BmMtIYBzEvPnXDaizvNFjIi/h9HMZjNmtezN5XnL6RdjckN+7lOMGSzNz3fubkeUNLiCn+Y1kXdkCYnSIhnISWb1fElZ1QyDNDLqUrOsoFCOxXLGcrXAVDOCjzT7A69fvebF5z9htjoTo+00jXhCCBx2W67evWG/XVNWFXNbUi9W2LLmsN9wd3vNxcUDTs8fYYoKiHjvCX7ADR27u1vevX0j9ULv2B46AUqyZ8enn3zMH/3RT4jR572nFz+ttUQVVlXNxYMHzBervFbAoelQ2rBYLOi7Dtd37LeSShS8Y7VacnJ2Tj1foHXBer3j5vYOpQwXZ0vOTk8ojJynBk6WC7bbir7r+ceO31nov3vzJUYpVidLKjsHlBSjSrHv9hKjEDy2qkjKohXM5wvKYo5XGu0TTXtgcAOl7oQ+byxlOUdXS6wyQm+IA8F7+mZPFx19uyMMLQlFVc2oTx4yn68oCjHLcynQu+zqiqLKz3nQjpj1UFaXEtOlDcXC4voO33asd28Z2o1orW0phQbkbkDCDy19cCg0GuiGnhBdngPEwVf0SSU6RlI6al0ViuQDY8psyi79hFzcgUSzZRouGX0etfK2KChX5xJ7d9iS3EGmKm0IpoJRe9d7+mFAJUdyLc3Qk1IQV9oYyBB2RljFydJWS8zsFIzGWslPn89WDD4SQos2EWVgOT8lRM0QIqqIWBuJSVMsLcbmBz4G+r4Vt//c5WZE70NHGloMjtBJ9GJKinJWc9clktJ89e1L0YsFoW2/3K5R1oqxXBDUXCsLxlJkZN17KfiVSvjQZbfsFlPNoTyhmC/h7Exy7yNEIiF50tBS6B5VLijnp0SMaCd9Q0qe5HsxKitrYTKgULYUHFcpdFFnkxhIrkEFj4seZSVqL1fmAgYEL/S3KDqwlLWDSicp+L2AA2gNtoQkn8o4sCQrAEzSRtD+ck4MA6UBFzVeF/gEWhfYckaKCjc4IjCr54ReQfKiiVcGiqUsfqYGU8mY1hqlJX4SL1REASYG4rBHpU7MzYIs2smaLGsoKBbLvPT2skBmjawaqX7Tgpq7HVoymLW1mOUpha2IXsyRfPCkZNC2RtkZylQoFUi+IXmXYeESrWWsagM2QYpODBhdwiuHGRxGt/jYc9jc0B52BN9R1TWL2YxZbamtpVpecl7NaK/f09xtObhAKjSV63Gx59npgldfv+QmRf7sX/93nPvI//Xrd5RlTREjd5sDHjnFYRDvkE3TElKSJpPRzE/POK3mHK6uuXpzw13f4wvF40cPSIeW67fvcL5BEdFacXJ+ypNHlxyur7i7uaF+9JCVKtFDm9FvjTJAkC2JaCtBOUfUEgdqUBJV6VtJRVBWDICSLKpG6WmzaW1JUdSoYChmK1SzY3l5ybKsiM7R7nbsNx3NwwXV2YKz+Smu84TUkTrH3d2GrVF8/unnFEmhoxgdDq7Htz2H5kDfdvzq5UvqFyc8WcyJviPgiNWMdPmEYbPnxcefsSpKyDTGYRg47Pe8ff2e63aHrgv+6H/4I4r/+Vf827/6G3o3SkQSzdALGOwcvesIvqNxe6rzBc/PH/Dw/DE2FkSfOBwamkPD9bsbdt2O/XbLKimGQ4vSc8Jc8/FHT1jOz1kVK9jcsH2/5suvXrMPLWfnJyyLkn7bc8PAxZOntO2AXdZUfYFr979r+fz98U98XL15g61qyplQrFUaG4kmr5PSEdOjPlxrzET7ls5eSilrQxGzNGOhPC7FoDI9Ogl93guAGvL6ZrShLKspnozcfdY6YYyRmiwXwFLUp+y7kvO2nRTCfuhlTzIMed0c3ewRjX1mxoXg8Y0jjI70o5Z97FTmAijlIuroVD5+/Vvd03HfkYtnlSVnKoMbyhRS3Nkidy2lsPMhSFa4UtPflxozZbf634qWG9eEzFQ8Nn2l82+spBzZUkwHpVNsp+s6FtMjSDFq+6eCP0VGeroUFxnwyNGCYcyjj35anyQp4dhZhdHUL2b/nZg75ExU5+BdfiOKVIgkMZk8p05ReJ7oO5EM2ApTlujZAqWtdCwTjK7jCpX3j0J9T6jMHAlTLNtUoOYu6riuTkr3Ebz6HltlvDL3iuR09Mdi9EEYXb29k71WTkvSSpNGfX8u8E2Wu45ykuPdyEBKBJVGAEtPrA+l1SQZGWUjU3TgvQ6/fI4A+yEirRxImmncqPG8FBN4NWW269wsy/nl35OQ3tuPyO9L8wZlRPapbB6LBdhS5KaZzi+LbmaFpMyMGNko41jOIIPJKQWQMEYRvKdtZI0PLrunJ9HEV3VNNZuTrMUqiCpye7hlu92hY8IozaEfqArFbCbMxKIwnF+eoYo5GMPy5CTT4bMxZYi4wXFoOw7twBASIcHZxRlVXYlTvnP0bUdKidOzE6qqwg8tbdMKCzpESYYqClarFaYopNuewa0QMhtHa7QiyxTy3KAgjfHG2pByQykienN5xvJzNzJ2rMUUFaasGM07y7qmrGfMlyfYsiJGhVKRWWGYmcSs1MzrGUVVkpL48Hz79TeEpLh88kzqqny3U46o3txd8eq7r3F9R50bHYP3ODewODlBsWJ1es7Z5aMM6mpCGOi7A81+w+31Fdv1HVU949GTD/j27ZYQFWVRiim9hp//7McsFuIR0LUNXdMw9A6rDR+++Jj5coVWlugdLsvB3r19LzGGKNr9gdurdwQ/sFjMOTl9JFGp1uJDpG0b3r+/Zr9rODs7ZV7XNE1HWRiWCwGijbXUVf1fAK/3j99Z6K/ffSH6l9OnVMuHRGuJRrP3HQw9MSSsNtAaokoURrPdAoi+WKdAsVhi6goXLEX01FUt2nASznUkpfGuZ2j3hGEAIsPQkLoWhWHY71FmzZ2xoKHWllQU08a3sCVhRPMIDF2HThGXEL19t2fo9jKRjyYxtkKpWvS9VY0qSpxzRNdJNEsQXXZCOpKmED2+0JYDKUJIHWLMV8qEEyIx01ZjFAo3ukDZucR4qCSmQDHPPEYWAVPNMbOFmGNoRd8eaK9f4/odWheospYJMAbS4El+yJ2AwNHAJbtV6jwB2rE4qqCoKMsZxhQMrsNayf802WhGI/meuppTaFjOF3RRY0NA+Z6IxxYVpqxp2j0608B17GBoiL4hhYGha8QlM0mygVeWshJGAmj6IcDQio8CkHzIi7UkN4zqHXlgI0pFqspSFJY2REbNX1I5xxhDIBFdh1UKWsWsPieszlEpUZQzoi6kqxl6SI62bVDDnnKxBGtQFGI6pzXGVllfF2S98Tnmp1rIRiZINzoqJa76phDmRBAztBgcvt9mxNmgTCXn4wcpaJLP52BRRYUpF1MHBW1RxQxtxHSlriqMLuibW7p2R/StFHk2SwbI2xVtsTOJo9PGUKGJ0aF1RdDyusQowEXuamik2+V9kL9LJGlx29W2IkabC3gPyYsRE0EK/kL0aiFFVC68ZBL3RwRcCbNFCvRCDI8SqCGgbMns9BxMiYuKQIExBbPZgqKeof2AH1qcH4gYrCnQZZEjCh06SpTPYb8jxV48Ppo1oY3Us5K6nlHWiqaDQ7Nhu36Hdx1WaayxfHw6oy4PpLYhhERdlxy2W5q+Z3d3R2cSP//J55x0A199/Z6/++4t5x99zH/49VtmywUPFiWns4qvvnnJwTna3kOCQmsef/CQp5cP8G3P1fsb/HLGpy+e8/6XB3zTc3u9YbNbExDzpt57Lh9doom8ubnh0YvnnNqC1//wJe9v17L51pakEraosKXQ7GMMKA1Jic6ya3s650FDNdM5JimhIqisQzXzGfPTEypTQH9gGAbCMGCLgtl8JSZEydK6kut2YPX4BY8eLeHQoPAMnWO/bXi77WkuTlnNTwm9o42O4bBncAPfffGSd+sbitMFP/rzH7PAsLtdc7Pf0vYHkgosH1zw2epPWcxW4AL94Dhcb9j1O7761TekByU//NPPpOhuE391tcVoS1XMSCSKWvOnf/pTdAjsm41InOYlz5684OL0EconKl0RPQzNgaFt2L7f8MvffMNwMdCuN3QxkGzg0dOax5dPOZud5+vo8a0jzWrMLFCVFnXouG7XXN1sqD88pZgZZrFguYjMtjv0pDn8/fHPcWzXa0xZUjSiU9fIxnPUnCcUeXWZyiOtRg15jhDLc8HkSG+PpmekhM8xb65r6XvxfRg15Qop5odyjMrLGd5j7F7+l/LmNoyU+Fx4Tp3uIClEI/gvjd68ro0U4ZSm3wtOwHWVRqM7Pf0t0tGkLgEq6VzUy/mosYuajkUK+WzGIn+k4EvX9ti1T/mahMmML+TO33i5jl30+xrrEVQQKb8GM4IImfpvctJRdj/Xxb1Ovh5p1Om3/o4U5VODJEoxd5QfOEL2SArZF+H++yGNjLNj+afIm7Ek/jBpAg/GTrKAAwpQZrxe2URMS7d67D4Loy5C8OgiihlZUaLLmRSTuRCR6xQyQCJAxGgAOWqbmTr1arp3GVGaXuO/OMbv3XPJPwI8+XtxBDRk7yWeT8IHO3bwS2xVTWAPWUoxgUfT9QGTxIfp6OpvJjBtdN9P2aRwum9IB3h8nTSNzTgBLaJzDhP4ojM4MHbfpXmV4zJJ2asjTEAPWfpwdG5Q40OG0pJSQDFDV3NUtUCXM2GUmLHQz+kL+XcVUuhPYFMu/FNwqOSlYeIdRJelxgmT2R9WF+Jt5B1u27Lb3BJTolCJ2VIxNwfS4FlUAvzs255IwZhisZqfUs+XfPXymi++e0cxX2LrGYvKUBaWqrAMIbI7tLT9IAnmwKOHDzBGYordIEaedV1yulpACrmDvKXvB0IQt//FrGaxmOf7J9f80DTcXN/B2GhQWmKKtWaMgAxBJHtKm8yO8tI8GwEZI43X8b6V9VwaWUWWOGgzdfNnixWmqCmSogieVaVZ1prloqIuRNZ82De8evmGd1c3/PiP/xuq5VJA0Qzu7dZ3vHv7ku3dHfV8zqMnH6C0oetbdrstTdtwoTTz5Yonz14wX6wwVu5T3x3Yrq+5u3mPHwYuLi84v3yENiXD4LC2YD6bMQyOujb85CefoUh0XUvbHCApLi4fslwKoBKjyBZERjCw3ez47ttX7A4Nb9+8J4WW2ioePn7EyckKWxSZHS8xhU3Ts9u3LJcrYtJ89+aK9WbHz374CVVV4pxHa01RFPjwj+9Hfmehr7TBzM85aMP+cEsxn5N6WZQwRlzEVcJoRaFl8UxaNvazxXJaBE0kZ5wPdOtrMUfoGom9CgEfB0ji4i8PqEIbedQSCluU1MsTuqGnaXuC78SZHoW1lpGmE704KZP1xRiLttKR1VZy0LU2pNCjMvIcgscfNqJPCn7SxalCCvFIJPbZ8T6jWmiNsnOKckaISjLJvRT5WinsbImZn1BUc1IGNUZjHHKWO8qidSS6CM5hNHgzI5YnVA/mlEAKUTTUKTAMHcorEg5idiG14sKqtSQIGFtR1TWmXpKSzW7zEIcObRSniwdobTCAD4NozkJkXtcSpRI8Xe9zx1Xo4DZ32v1+T7+9QvkWxcC8rrnb3eCGARUCUh0LYqrMjKQVQwBiNpgpC5mQQxQUGKGGyziSTZRWmfylRLvjhoBTAVNWnJ6csN2sJ9mDQsu9jkL/D65DdXcoXWHrE7Q6J6pKpmnXUBQ1dnFGqOeEMEw5s945qhwXQggYEClGNccH0c4n3xFDK6COLUEZrFbooqBvW6JrZaHKrvayqA3gB9lHKI3SCygUShVgLVFblKmwRU1R1JRZp2cVBN/jXYPXCj07waQT2ZxooThaY4l+ILqGOByyo2xmKCgjzBO7IGgjEYMZZIgJAV6SxhqFKWpi8sRUk1LOPdUGZUpS6uV++Z4QBsqFxDQm20O3JwaPymi3bEQjRxsg2fAk1+YOUQ31gsEu8UG8IEwxw0aJiwztjlnyVGXNLhlihKIs0UTMsKddv6PfXUHsGdt4PiXR+scARtPuFXU9p5ovKW1F6zVRl1AYBj+QgMqKlV3jRLJgdORqt8VrT6hKfvz5c+a949WrK/7tv/8lv7lteLpsODtZ0h4aTFVw2gVu11turtfsW9FoK2X48U8+Z6ELDpsbOqN4/OSSu69fc3F6Sntzx5d/8yv80HJaad6Q6DpHrwOt6/nBD3/IidbcvXnHt6+v2ISIriqJevQOjcleHD1hGBj6AV0OeZGVjbwa3ZhtIV3PrGUsdEm1XDHTisJqQqzwPuEmgKkEVZAAW9f8+KcP+PRyRWw7YjfQ3G25uVrzi9+8RL94yF/+xZ+zUAXdYY8bGtZv37PrDqzp+OF/+1NOZkvqaFm/u8a5nqEdUJ2l7/coq7DFktgN3LVicPb2u1e4k8SzP3jG8uyUi8UjQhvY7Ta8ubohabDaUhSGi6dnfPLsGTYZXByoTmc8On+ARWFVgSo0oXMM/UB72LPbbNjsd7y+viYNHd+dJX7w4894+vAJ57NTVCgIbaBvW7qmIXrH7rbj6v2aoW3Z7Ndc3a3ZKMW/+eTHFPvIu6tbuqRZna0Y/O+p+/+ch5jSiQGfKQqMUsfoOMidulx0MxbdTJ3nlKSocqGTLlSQjr0U4H6Kk0tjBvpYtIIUeFlbb6zM8ZNpWS7s73cqxwKYJNrs+9pelDoW9vep/CQIcdpoj073GrJZHcdOei7gRY99BBpyTZb3CGNhcs/kzWQTtaxRRo2abhhF8yNTYSy4tTGkohSIeJQ45G7tVADeYzHo3Nk1RTEV8hL1Zu7Xq9J4mZhKR9bF2K1OeU8i8cyi+Z8671H2i9FJgR8G8Y9JY/dxLPOyXl+u83hG06i495HpHKYv7xnckU3c0JakDWM04BhvJhKI/H5jQxx6fLsXYD5HHCtb5q5nvmZT5HQuXvPYSLl4FrBE5bGb8i3/vkRhupYjoJO77YzneI/BkUYqgJKuqhrvl9YSOVeW+Z4VE6gxJhio6f7CRESVi5TBIHEXD87n7PDxeqrpd//rRwbLRvYaox5fvAnUPRaAUPJTpusX+XqNz7ZIcGLwOcouN2FGWcuYvqRlnTTlDF0vUNVc9idjkT+eaxKjO5WiNP5yAzAMHXHoCYN4FhGG7IEUMnAk+8exg1+WUsyGUbYbhJpvdER7RUqDGOpmQ+ND7yhr0fWbsqKoZtxuW/5f/+mXfPvujvlJZIhwvprz4HzFEs3NZs/dZo9zMjdarfjg6WO0lrQi7x3aammgRGmG9r14TrhBTNxiCtS1mAx6l2n8USL3ur4XhgtCWffZ3DllcDVGuc/G2Ml8Urb2WvYjuXuvR6C1KMUfKY/dGBIpKarZUqj71qKCR6vAh5cVD08rykoRgmNzt+Hld6949/aGy6fPefTsee5LObr2wNXbt1y9e4PWiicffsjF5WMiiqZtGXIkabPbMvQdi9Upi+UKbSxD33DYb9ht7ujbhrqesXr4mOVqRT1bsN02bDY7qrIQU2OVOFnOOFnO6XqRdi+XJyyWJ1TlDKPvMQxQhBDpuoGb61vevrticIF376749KPHfPjhE8qqxBgFKWbWa8D7wP7Qstu3NJ3n3dUd3758y+lqycnJAqM1Q5bPGCvS+n/s+N3xespCMhKRXZakqCis6E18TGjtciycB8TtvT9siH0r+t2kGXIUTEjHQkCAyuMiqlI27lATYQY/JJQ2lPMVdjanbdYMhw3aB8JETZKfk6x5mcg0MimjEzopkj+gVEFKkeAaVExomzU4tkS5gHe9dCBrcaKv6xleGVQM2LIGZYkodKZtlaUM0pDdti1inldoy/liRTRFNie0OB8hOfp+oGl6VOzFnwBPUg6tNXYxw0QFfsD6II6TGomdCBHnncRd5I42RY3WkqFqqpqqmglLITusxuCxKmGLBTF5QjmT14oJnc3JUoosy4piseDQ9xwOWxJZtxY9MTlcs8sU90C735KSxPLZsmK/uaUwVtxhFZCE8oWtxJk+U/OVUZhqji5KXLsjOfc9xFrQ0jg5dMYpnkbQ5adPHrO4eMjbN+9RuiT4jkn/nTcoKSmWswrnPc43hE2LbzboakFUJiO9BVBQFBXYEp08vhsAj2saQhSgQmktEyMxF+gSmWFzp0MnR+j3dE46/spUoHNkUfCgAoRIiD43uK0s9NqK7k4biSOZneRi14Hf49q3YsKDxkdZ6LStJyNGlCg3jAbfrfHDAdcfCAlsUZPMHPS9HGljIQxEAsonku/RZf4Z16NiwAdHigPKWJIWBD8lIHRoLUaEITgSCqNrynJJWT3Ah5QhOADP4AU865o7kS44R8KDlQSBVM4xs3Oq+oRSIwikldiipo8MMXKz2xD9NTFGrIHQ70m+xx3e0x3ew9AdN5RKwL+ktGzsnMwt7dCiVGIxN8yLisEUokNLkXmhmccuO/8rSiNZrftDwzYEHj16wDwort6u+Y//8Iq/e3tNtVjiB896vWN1smBRW27evWHXdFxvD3QxUlmNtprPPvuYbrNmc9hw9ugBabvn+vaWYRj46utX2AcX8O0d+8OGXSPOuEVV8OzpB5xow93rl3zz7j3nn33Ig7/6Dd++u0HFxNB34hPRyQbRB48pamZGFuVEzEWIgBhVVTGfzzGFwfUDUYmBaRgCQ9+SosIPsgEqZwuKakVwDqsCl4+X/Js/esay29Pvb+m2DW9fvefLqyvOf/qY5x+8YJYM3aGh3W/ZNjt6E5h/eMEnDx9xUixJfWB/2DPEiF3WzMOMth3Ydweq1QnRe7r9jr5t2HUHysdzTs7mfPjgBbHz4CEMju3Nml3XUtcVyiqKQlOXBUoLjfj8yUNO5ithKXiJwTNa47uO/W5P33asb9bs2h3bpmHxxPD8p5/w0dNPOalW6ADbw5aiEgq+67ekpNjfdly9v6FVLU3vebfe8/Ef/IATU7ENPdqImeRsPqPfNL9r+fz98U9+jIXKVMbId6N8P2VG1miqF710en2mxgcv9Pk0FgOjQ7dSwhA4Vi5MJmKQtcuaaDQ6eqLTk0t9ik5Sa77XSYUxYotMR9f3itiUkniWEKa/gcpmcWqk0eekIC1GeJO7+uhNMFGpx6ZvmrqpEkNoKOzo5C+vgRY9rPchAxwSQTp26scCVDquyPo6dYqZvqdyZ8/odPx2ZhNKkW8yU0JYhknpvGeTTjfmXsb6PRBiRAFSkgg833eEoZNCPrMjkvdTESdFnXTFx2i18T0yXqvJMFDo2CMzQDwKRqAuTt3hCQRQ5H3GESBBFyQlOd+jYjyNrABZeY/vnwwWDR1R7aXAtOXEmEiMjvUy5o4gBMdKGkXE5MYH/+W9uPe9o1XBPS37vccGxtQJPbETVL5PtijQtszjNIn8YejkmueiTWdKuzAOpiuJNLHS5HMx0fEzUDA9sPx2sZ+mNxgZgYjx+qV7JzQCCrL/FkZu9g3I+8wJbBjlD/n9jFKSOIJ3goijM0NVDDGB6CB5QkzCSA2ZQRtSZmyIR010HaFriEMnKVRp9PQYh13ej0ZF8IGukU63NgKq6BEcSTKCrJLaRVKoFc5HnPOcrGbMZhXGWG7udvyHX3zDF69vhHVbVUSliUozRLjZHvj65Ts2+zb7UiSqwvLk8SMKoyEZyqrE+8TN3U72FFnyHFOi7STlJgXPcrGgKKt8H31msyjqqpC9hw/iaRIz6JRSBjVknBRlObGjVN47G1ujqxmmqKZIRLQSyQESz+2czMdVPWM2m0ukJZHLpeWnz085m0Nwjut3V7z8+hXNoeHi0WM++fFPKGZzYvC0uz3X797QtB0PHz/h/PIhi9Up2hgOux3ee6yxlEXBfrejaxoWqzOUgqE7sFnfsN9t0MZyfvmI5WqJNZKmoJTm/btr3r+/xRpLUYiPxqyyIk2OsFicslyeClN6RMMyWBljpG1bbq6u+Pbb77i7vePx48d88vELnr94TFlaRmnR+ByFEHEucHe3593VGucSbdtTlSWPH5wxK80EboUgXf2yqvjHjt9Z6IdWjCCCtuhiIUVD7vyRxGE7xNHQw0Mc3b3lGdbKkMYJVhmwQlFW2kr8W3bcVknQn0QuWrJzq9Ga0DW46zfE5I609QmlJC+QOV/TCmqKFTf7lLvsxkhRLK6rBbawUMwkJ14rZtpQ2QprCworWp2YyPm7Bu88CkVpDQ4BJsY83+WspqoKdvs93WGXb2widQ7nO9q+J/qWwfVC6beKorRigBIg+kC7ucuNATH4UKaU6+gD2hhCPg+lNEZX6LLC5gcnGkNM0O+3KO/QRUHwPbao0d0OXWiGkAGQekHUFdYacfvsevbbNW27pdvfEkMnDVOt8P02U7xG/VMeFFoL7RuDj1o2yj6BnaN1lZFicfUVznVFTAnfiDmgxKiNlLmQlwrFqJ0S0bpM6ME73r+9wt5uCTFgSHiZMqe1YlZX9N7RHFqqokArjQ+SA8uwl3GnLb7VaDTBivP+mEcsru/ZSTkJ4pusJBMoLVTDBETfkpIALhRzVHUKrpPFw3fZ7TdvOm2FtkuMLeVlg3R+dVmBspSl6PON29O3a1y3FWd/beU5SolkpFMsbv4VFDN8GAj9IceciAbeViM1UCh4ZqTaoSENaC2Zp+NzmIKXxTkdN3a4Dq0aoi+grOQ5KZaU9Uq8AVKBMwaCwlqD0QLUpZBQWAobScoQ6hXKzgk+A3ocF9WiqqHf0x9u0SrSK4VSFqOM6GDjQApicNkjCLzENClsPSNoI9IQZHzG6Im+zxsBGUUueLbXPY25FqCpqFDFXFg8KmFjh1MeR+R0Zjl0Pbu251/+mz/mtK5Zv7/jb//+C77Z7vjxT57zd18f2Hc91hiK0vLu/TWHq/dC03IydlyA2iYerpZ0w4HzDz6AzvPt63d88c1LzAfnfPInP6W+a/n1F7/k1bphf+jpB88nHz7GuIGXX37FXdfwyc9/Tvv2Dn/oaAdH0+xpuwMxRLQRWr7sCkLeOmnQcYq2CiHhho5WK0ovVK6kFHE4EIIkilSLBUVp2AdHsVywnM2ptCYMgZN5wSw43HrD5u6Gt6/fcqsGfvS/+hGfP3rObu8Z+o62d1xdv2fx9JxPn37CST2niIpms6NpG5rtlsYNzM+X+K6j3d/R+0BAYUOg2+357uodiycrPvn4I2o7o1IVPZH2sGN/s+ev//0/8Ga/YbGaUxVACJQkiJGzB5ecVnMKpVFeCrjoA4PvcV1Pt2959/qKdze3HLo9i0c1//p/++f89KMfcWIXAvp2A6aS+FjqGbYw3L7u+Lv/+A/csOH82SP2644PP3rGidZ45bnw8N2+ozeWuo6cfXj5u5bP3x//xIdrG0JvUKYTyjnC+QvZmTyG0dFaotGSz524kW2Uu6bGFtiilLXKHPXwU5ExderluFf+If5XUgjIR/mZUbM7moPpHMc16c5z7OpRq833Kc/aiAN8/tpkU2EUuci/50o/vk7u5KvMbBhNsrRSxGwI57yYQ/m2EcmO9zl+T9aBY6GSC7gJ7DgyEvIXx/WCcTuQQfl7hVyMkaQQpqLyx+6vEvd20eZbYVhaK4D9qK/3Ht+1uMMO3x6mfeXoXyDvJzeI4rEwzG+dpO8ZyWlJOVBTapFA05Jh74Fh6pQfxQ/HopJcFKJlrVUZKBnN5uTUldzzlLL/270u+r1SW4CLQAoDQWkY4/TGv5vyvmHyEcgtkLx3GZlaIyAy3vfjiR/v2Qg23a+rJ8lC9mwR0105J21M7twHUu8IrsN3zdE8+v71VbKmj/KC0b+BXLyNng5HEOe/0slXHMcUaTLqGwGCUfZyvI5yLbVWYM0k/bCFyAtGfw4QQFs6ypJcoEMuniZDRHmtlBkakQhOmIuE0TxR2Kkp5dg3jvIA4iB7RbJ8Lulp3yfXYfSQyDrxDDiqDNZZI2BeQh0LZiLWyDzgw4C1ik8/+oCz1YKXr97y13/7GzZ95NGjRzQuTuwgH2DfDuy3O9a7PT5GVBCAY7mYcXp2JvF3SjGrZ3z78i1v317x+aefsFiucH1HPwzs93vaTpz6z87ORG6rNIQMIOV7HmKWNfmQr2dmXus8dvM4kGlrjNPIz+K9eWpkJI2O9kBOGZOoP2Mt0Xtqm/jpR2d8cFHgui3v3rzhzau3pJB49tFHnD1+RjVf4NzA0HU0uzXz+ZxHz54zm4vO3xiDdwNNc8D1PUVZUtVz9rs9zWHPqevp+4713Q19d2CxWHJ28ZDZQtIKUgZ8D4eOv/+H37A/dBJtGiNaJZbLOdZo5vMFy9UpVVkzpkilBCElvI/c3d7xxa9+zeZuy3az4+x0xZ/88c94+vSh1HBRpEMxeJwT0NW5wHbX8ubtDdtdy8X5OavVksN+z8WZOO7L/C3AljGGxXL1Xz5v+fidhf7oMI9SuH4rFJbREXua8FNG5JgMK4SWLm7sMesytKkwRYUqStEg6BxFhpKolkLiymxZE4LEbWmliLog7m/BBUEV7SJrf8U4pp4v0GWN0YW40dusP1fZGTYktBbKidYGFZHYvwQqSdyGUOYCvuno3JZkDKUtCFpo5YWW7NQhGIqiyHEcsgCt1x3B93SDx/lOTHNiQNuSaAvpzCpDWS2JKRBdh+taKXhH9EuXKI0YlPkOFfrsMGwIbsiosfgB6EwzjykSnCe1AwQn90BbVHLYcoYp6jxHKWZWiznGcMBHiQXzQ8vQbAWl9PIa4pwurt5jDE5+3PMak6lryqLKAmUXhGqBNrVotpMTepQy6BAy0BIIoUO5nhQ6MX4jCQsgI8wJRUoavEQfkjctuigISuhHdVmi65pufS02iSlvMZQVUERpyYvPUSuysNtpIRXE2BG6Viby4LIMQFBLTAWmRIPo2W2cNiGTBix3dRTm6OEQnEyMRYUqCsy4whZztLIE36PNLHd0Ein28h5SwLkDrtkJzdKInl7nzhROFpSUEo6G1G1lkS1K+Qiy6XE92kDSNYkoKRB2DklcS+PQEoJQzKIWg0N5hxpdWFKAMBwIJHTwMASUnTMMAU+OkzKKwgiKbq1GB09ImpRc1uElUtJYPYdaY0KU+6lAI+BAoSLJGlzSkn2rHAqRTyQgKIOuFxTlTBbZ6AjdnXSmZhcMvaNvdpAyIyc4lBFaJ0mCZkZ6o890O+U9qu9Ea1hp6lpRWkWsC5ItcMlhZiU/efEBhzc3/PLvf81toflXf/kjvv77N/TtQLIljkTvZMOctGLT9vQ+5PODk4sHDH3HwydPKYJiu1vzy7/9Dd/e3PIX/82PeTJb8Oo/f8nu9pZ95wgxsh88F48u2Gw3rE5O+dEPP8ceGl599473m57eR3zezI6Ax9itAzH9GU038wgGBUYXmGjoeydRgFWNrWr50QCpH2jbPcH3nBSXuQumWZxW/NnnF/D6JddvX3LTN9hnp/z8gyc8Orkk3AXa4DDDQOs6nv3sMx4sz6itJQ0Dw+AY+o5mv6P1HXZpqOo5aXnOZt8RfSL0nsPmQGMSn/zJj7hcnDIzlSzWvmUYOkiKt1++52+++BKvvWygo8Rh1ScLzs7PmekSIyupuAb7gRgizb5hfXXLq1c33PQ7Th7WmHXk4x8/5/mDDyhViUHjfJA5OggLZHO15ZsvXtFGxT71MLdUUWHOFnx0tsITmAVFKgOLmaVpAj2aTz568buWz98f/8TH0DZTR2wqltNUa+d661hcJMRsT1mhk4u8TTLURx36Ue8+/sL9wjkXLcg4C04i90bquCHrdbXQVnWmqk8U6OwiL7Gi4hcwxk6NdOZR2z654efOZkgcO845pnXqyOY9mVZj9yyHd+UmQwxB2DwhTiZvuQ7J70WTRvnBBGiMXeSU/5c/Tpr78afutZM5fk9N/03JeZDPMYMYU5d/BD4AsjO/7zt8s8c1e0LXyL5hZFPcu9/3b2war2E2fxujvpQ2x/izqRA/XudExkq1JldN8l7TVA0zFpdSu4ydd5l3U1K5qFeTAVgC0Fmvz7FIPUrZ8lXLhd1Y60odGwW7iBINN7HWtPj5YLJhWRo16UdgZaqj77E77gM1+aemyzb+fEpRwHjvc2E9xgG6qTnGxHY4Qjpyl30u2PT0cXK+Z/z+9+/X/VcY92LT2JsAnPG/q4y5JdmPJqZ9qcgMjt4aR5PAfH4k9MhoyBT/lN+ieFfIRRjBnLGQk3si+72oQSmJ8Tw+byo/8wW2LEUm4obsA5E9Ae41H49SAxkPWsvrBwwxGVJSJO1QIWFMkM67gm5wzOuKR2enDPsD716+ZlWVPHlywcttz9W37+l9YFbXBB8oO8t+u6UbxGk/ePFaquqa2WyWazLY7xr+4R9+zf7Q8OSDJ1R1TTsM3N6tOXQdfXbqv7i4EMaNUkSlCAnatqfrBtnPcY/FkVM+YlIoPMFno2fkWUy5tpHbnT0Y8mjU4w4037uo5HOrFHiHxfP8wYwPzw2HzQ2371/S7Hacn59zdvmAxckZPmnaww4zOJQpePj0BbPFUpisCDOKlNjn2N2yqqlnc+r5kqLacmgbNps7+l4YFw8ePeX07IKynsv7Dl68xgbHt9++5Fe//oqUFEVhsEaSnD54+piHDx9IGpwx2UNExrTPbO/b62u++epr+q7j5OyE/aHl8sEDPnrxlLIwaJREo3qHcwPOedq2Z7Pds9u37PYNMSaq0rJcVMwKqKtiAvpSZsPbomRxcsY/dvx/0egfdQaQRFeBdN0MeYGNYlKh80OVjMaYMusyZqTC4AehZgTvSe1eXrcoxPlZlxRVTQC0lk55gZ6ouV6Dby9IrpeFzZaCJNmauqrFwZWEVWOmrUKlIJRyEtoklLUkFxi6A4ehx4Ueq1VmB2mwhdB7FJi6IpIYYiC4nrooxYFSJYKJdO2BFL3oynNBmjKSqEzJbFljdSnXTwldyGddG7rAFRaTkSwfPHUphnXOB/QwEMMA0YnDbYoZBTSCNuaEALzD5wUxKaEiF7MVernMXVfpqscsaRhcIoUeN/T4bkeaivsISgp6rTMVJAG6vEe/yh12I9deFzN0uQJdCYIevQADKeTF1WRqnCeFTjrhvkWFvEDYSpIO8uYj5TJFKS2IrRLUvSgLLk5PcdqyvrmW7NmyoKjnhH6Q92csbT/koakYxiJv3IxkuqCCvMgHKRCDQ1BbENw2oRgEPBrpdF6h6zkxd8ZVUVJUKxnzOZ/dlBVJzQUQEAoICisdA+9IsUEHoYV535OiON2mFPI/hcaCESdRFXpiygvI6GarS7B19geoJoohZoZSot9UpsAW87zxUAKuZAYMYzyhmnGkImq595m+HYqKFHrCcJiaWSZpkktYnXVXoScNiRjkfY0eubJ1ErdVbSMF4MRGAUG2B/xhTx87Cq2YzZao8gKIEuNiCmxKDMNBcKmcNBF8S4GjqGdUswo3C2yVxg0dhhznmRTaSpRfzJ0ZpcWQcGwlCVGmx7SBWEJ5saKYLfAp8v76irosUYeWX7x+y01l+Zd/8APMZs///HrDoR/QPmAKg68K1tcH1NCwO3SElI1IlaKsC4r5jCJpDje3/OoXv+Gb7Y60qDk/P6W5uua7L79k3ey53jZ0g2cYPA8uH3D++CkfXlyQDg1vv/mOv/vld7z3WmRF+XmPMbvfpiAMlbypTz6iCyvAplHoFOm7hsF6TFFRLk+pqnl2nRajTJUgGtFl+iTGZPNZyY8/PeNhbLl5+4rdsGX1yQtePHlCHQ1u03J7u2GtS+pT+PDTT3m0OoHeg5eFqW8b+qZjd7Nl3R84e3EJSTNfnFJyh+uloOhU4uGLpzw6vUD5KJKkCN57ukPL9mbPF1+/4f3+QO8S1aLm6acfc7ac8/HPPuCTR88khUAHBica3aZtCH3gm19/y3rYsnh2wR88eI4+OL68/ZoPX5xzUi7RXja17f5A1/bsdjuK+Yyb2wO7cseLjz9k913NJnRs24YXnzyh7BLBQrUoKDsDVrGqPV6n6f78/vjnObSxMpbHmiwzu/KMmItNPXWSJhO+XHSTO+VGS5E75YDrMY1E546hFItmAgOQwiB34UhpAgNGGvpI8byfL66+V4TkIjMX9cFn+nnWu8t53AMp0vh7MGLVxw7n+Iq5SE9j7necum3aWpHEx4TJvxtjuPeexsJq3Lin6Y+KBCJ3VqM+Ag7jf/9eV1+ujax/4/uVzp22otNX1majwdwlcxJdNRz2uHZP6Duic1nCl2Vw2XRwLFTHje1UZI7mcaM0YtJYHzvbY7drMhcb/6V8UZX53vWcrsmIIHEsZNMICjECNONYG69mRn3TvYI9X6SpKabG95WOZoL54wimyLI1asXl/6aCM8sjvt8tHwvX742e4/mMSEkCokhoxyjksXN+LFDk+/dBm/tAwXTPj/8ne5/7zI/v/fB9WChN535k5d4bRfn31f17MN4CdRxTI/NmTBAgM2UEY8kFZUzTPZgaIqijlEDdG09Wo1UlPzeZAB7BGMbPsxdZKguM1URfHJMLwpjwMCZOkAEyeb/KHEFDkZpG8U4KEWsT1sh72jYHnAtcX90SCseHFwvOHjzk3WHgP37xktu7DT4pXG4yOOdp2k6kOHkuCSFyenpKVUscbde0vH79lu++e4UCzs5O2DcHXr16ye3NLX3vGJwHpXj05ImM9TxHeefZHw50veNob6qmezeygcZiPsZxjtHHZy2/lo4xM3ZH5pEWDT8qJzyB1QqrImdzy+MTi2v3fHf7iuQanjx9xMWjJ5T1khAizWbNvul5+OxjHjz+kHqxwseYzVMjPjh22w1ff/UFh/2eB4/mwqwoKsp6TtPscc5xdnHJfL7MGnlZz0NwDE4Mxq+vbvi7v/0Fm82OoiiYzWuqWcFiXvEnf/QzLi8vpCsf/JQyEZ2naVpubm64fv+euq55/vwFXdvz/v0NT58+YjGrJkArRtnLdG1H1/ZsNjvatqOeLTFG470npUihFXZWUhU2+1pkL5cQJIL49Oy/fAbz8bsL/XI2UayqoiSakoTOJm6OIgMBtigplUJVYmoREcOtsrAkYwFx6o6+xSIUDV1ahj7hgqNEU5YlVgvSq40leclyjFqRVg+IiNN3jImkDNYYTEoMoSf2PQFxNRxReq0F4SqUZmg8gx+LrYBJEaUriqpGGcsQAoUpsFYThkjUCl1oFpk+J500RUT0+QQj0Sg53zRFAQFi8LgY2HdrohvQSZBSQfY1ppzhsxusBgoUNinC4ET7EzpIsumwZU30TjT2zX7qKseETPi2QNe10LqKEltIDnlQgaTkGnnvBSGPgehbYt8SXYeKTgryos4USEExxzlUDAcrUCZvZgqhQNtSNubBEfuDROklMe6IKaF1KYhajIRuT/INIKisruYkWwviGkY2R8jbH5nix8UZBBG72Rym/xrdQOh1ToPJlD+lACsMAp2EjqhKsJCSz68ZJrQ1pSAGZ2n8qyLNSEpimUgJH5xsDusVqpoRB5dRSCP+AEGKLm2MGM7FTN/XJSomgt8R/ZD1UmKcSBCzSSluRfOGERo/KAgDKfSgsolNpuuhC7SpM0KtZEFJQcAQ30tCgKnRNuL9IBOsLWXB9hm4KIyMqQQxCfU99gei69Eq4H0tkpoI2s6kU5Ig9nu8yvQ1rUnVQpxUkxZtWd4E+UHyeCFhjcFHkXqMmcpKyQQfE2DnKCzqsCc2N6R+TTt0OD8gmrAAyR07D0gXrJotKaqVIKpaFuzkFVHFIy0RjS5n1PMlPkjXfGxWJQZqt2NoWxoPlU0E59nsG+xqwdXtjkbDv/rzn1KuN/zq7YYv7lpc8OgoIN1mvWbve1RwDNlsSPzsDJ/89HMerM7odluur29oas2zZ0+46g+sypKv/v7XfPPyW/q2Y2gdd4eOxZNLnnzwiIeLBf3tLW9eveLt3ZbhZE5Vr7D7HWQdp5o6RCovrHmjaGT+GRM1U86+Js/LsW0JMQlYUs0wVmFCoPcDfW05ubzkREXmu5eEdze0K2jTwMXnn/Lk5ILSKfrmQB88u23De+v582cfcFEvUS4QvJhgua5lt16zfr/h19+8ZPnJJedaYv6sLimS4ep6zcWDng8/esaqsFgnsT9D17NZbxg6x/Z2x5cv36AvKxazmljBH/zZzzmfz3jwwSV/8sc/YWEriIm+GTgc9hAiN1fv8SFyWHR89sc/4HL5kLBP3N2853pz4Ed//IQiaNq24dAONP2Ofue469bUfsXFZzM+W/4LTA+vi+/4xZdf8fQvfsipKRn0gK41eoA+RZIBXRiquUWr8nctn78//omParka+68A+dlA5qyxEMtF35j7rgt7zP9Wauqqk0Sax9Rhl034qCO9/+8+cBB/i7outUDKYGMGAkLIdNbcy81dxvsb3/uF0UjHlyaFVDd6BAtGMOJeJ/LYrz2WdDIP6swkl6IxhgiETNXPmuV7RegYYzfFAObN+/hz8jtjYZjPQ32/8D7WgblbN3bvi9EfQHw15HU9oe8YmoN07/s2U6XF5FhkFEIN1+pYWKvp/sp6rU3+fu4gjtkF4304FvjHQn+8H8fKU9977zEX9vl+TZdc7n3KDIF0j3p8v4s+jQWVIGqUipNeWpGk3pvqV2k+oMXsTeskLc1xTc3nhRYpqja1+C/Z4ig/uHf/p3NII0xxLJiPXeZj0UW+t2NhP/Fhcged3EhQ6p6x13jPGbv19+6Lkli+0dzxnp3iERAa2RQxTHT1aQxP4+n45zIiwlhUpiSFO8kTw+hI7tFWPFNUbvKlNBHnM/Ywnv84VO/LCsZnKRJcj28OhGYLfQv+SOcnxWmYi3zDkMzo0C9A/7gVVUb8J77HUlDqCEip0YfBYWIQBmoe+03veX21phsCX3z7hj/6+JLHHzykqOccbvbs2x4fIj4/1yol8R9yToDDkAgBtEp8/vknGKPoupb9YU8iUM9KVqs53g18/cUXvH3zlt55Dt3ArvMU1vD46VNsWTLkPPaUkjCVozQDx33FxFoZ557p/uXrrrh3H9I01lKKE5hpjEiVSBLPrIGi0MxKxaJM+L7hpl1ThoFPPv6Qy4cXmKLGhUjX7tne3aDsnJOzB5TzE3k2c3LG0Les7655+e3XbLdbTk8vsLZAcFlDUZakA8wXKy4uH2Jtkff+4qnQdQea/Y713R2b9Y6qrqlnM0oMjx9f8uDhKU8eX/DjH31GlXXxzjtJeWs79tsd2/WGYRh48OgRl5eXFMbwprvCOc9quSCmiPPiK9Hsdmw3a/F7KwrOzk54/uJDkrJ89+YWrbcs5rV4JWAorMyRISVcNpCdlQVlPeMfO35noX/y7GNKbSVjUBuCMkTU9OzobP7l3ADOURrNvF6gikqoZ0EJtUVHcUbWpxMVRllNYT3O9agIMXq6oZcMXOfQSknGewQVEtaWJJXog2cYetIg1Gv3BIMKAAEAAElEQVQfHck5ogoURS1RURh8igze0aWIrUrK2YzaS/6tUXqK8AghUhsrBngqUhRMLvAxipmcJ5CcZLlrnbVVHpwI9lDZSEIVFhMStVqSKkgaTEa3JO9K3OSD7wR98z19u8d3LQo/TVCKmA0OZeHRSpgUyih0WU8mJMZabDmXaDIz0kAi3vf0zSEzAaJQs4dGHO91IR3iogJVyMKqxpgUc+wcaCuMAMR4RwXJhvdDRwiNuNGPVcY4AeKJXSO0eNIUI4dZSDfbdRIzl3VKMknKv5SRYa3HyVHi7ojiCNoD/f6QdeEabWsEkXdoawiDE6M7I4yPFIa8wHkg5oXCkupsWqgQCYapwc5Q5YpyvqKaLZgv5lhj8W50Yh7k9X2H90OOaxQHU5TEtaTYE/uWxBjJk0CCmoF62iQoJV4BylqCayF0JAY5f1uDLlCqFJ+AJOdKEmO/pEsZR0n05xiDNTMUCdft8K5B6Z2g2TFiihlal2Ls6DuJj4wDYyJFwuJ9lKDCooJkIAXC0MiCmBIhiTdEch3RWjrfYYkoa0R7Pzul04kUAkMvQBUkMferV5TVbKLvV1VBYQx9X9MXlqGvGHbXxA4IspjHjNYrlZkyKhAPG5rDVgwotcHOFpLDWs3o+z7D+YqUWTjV/DR7dRiCd5ihY7k/MERPMa9xw0A3ONbbA83djn+3Kvk//e/+W+rdntfvt7y86fj5z37E/+M//D0uCDvIaqitYkhiuKMRutnlk0v+8k9+RjocuL2542Dg2ePHfPH//iVKwfr1NVe3e5q+4dB77vqBbdtzcnnOxx88ZXt9zebuhsXjB/zw6VNuX/8HQnfIGwyD1vYeDVDnTYUY6Zj8DAmDP2/WQ8Am0Lakqivq1QyrLTZGkov0TcO+2ZEKTdHeUjjHYh6ptabtHPPH5zw9u6BMlSRt9C2HTc9//s23/Pn/5f/AqS2JQ4ePnhASzXrPenfHbtPw3c0N1YtzTlZLThZn4BSh77Nbr6aarZjZAoKnGxzeO5rdnrv1HYOLbJXjkz/9Af11x9/89a9Zni/56PElF2dzXnz8EQu7IA6ixVcxcv3+iqFvaeg5f3zJj04fcLZ6AL2l63bcvt+wCw2F9+yubmm7PYf9nn2zxaXA0+cLzh/MWC0fYrzFNQO+D5x+cMGnjx5iBpm/Q4qYMmF2huQ83nmKkxKjit+1fP7++Cc+Hn388b2CT2PGrmPuuovrvrlXmKtjQZ0/l/1oZv+MczJkAE1Nm/HfLqZjjIQUJt1tiNIJTSTS6PKdjqZ8aXSkH1/he3WZdLNGFsEI4E2yLzmr4+/mjwnyunv8miTMpmmTne4XVinv06RAvp8WMBXykwGUJ/pjV3Kk5o7du+la5WubGIGC8XsGbTXGFpPL/kjnHnO2w9Dju5aY4760tWiVI9xGJsS9brVCTbfve/ciZPlo4J7GW4r5ifadAZMMm8jv546i+NeMP2MyuDJq449dSnIBqXKxf6z4xmF1vKnT39RJ1kAVc7UzuuTfwxXyz+p0r1+uNJJYlGMObYkuamxRY4oKa6WLF0PADcekiHCPFfA9D4OxwM/v4bejBo8QUZaC6BGNkI/jmBzfm8rXbyzu5bkZP8/Pl86Fdv4bI6AVR++BGCegbCq2vzfWj9dn2oeOABOBqAIKOXetOym0dZbDmFEWIqkSI/A0/qnx3kkjUZg7tijQRsvexUDvW4b+QHASH66C+PCMl0dc+03eN1rGFAals5/G5KVxDwzT5nuGmsJ+jhS9uPjHZPAxcrdvud7ucS6ybVpsVRKT4ma94931Wpo2WqNjkrlDKen03gMNY4o8vDznJz/9nBAGuq4lBEedi9EQItfX1/i+ZRg8u0PH7bZh03ScLOasTk4orMUbB1iKMhLQOOR8tTrKR+T8Un6sjqDP9DGzpMRgdHxsMjighYlpjJGkBu+wWlEXmkJ74tDTDAdmM8eL50948PACW1jR2+8b7m5u2e72fPT5x1TzlTBOB8cwtHTNjtvr97x9/YrBOS4vHzBfnIiJbkxoo6mqmsXyhMViJZHFGTTp2wOH/ZZmv6FtDoQYefz4EVW94qtv3hCS4snTh3zwwSUfPHnI6mSBVooQPF1zYLu+Y7vZ4gbHbLbgwaPHnJyciIH24Li9WxNJ2MLSdi1+6Nhvtxx2OxKJ+XzOxeUZq9WKsijZHRz9MFCVYxcfUhpjDsXnoR8GYkyS2mX+f3Tdf/z4Kc6L7jeZEdHWKG2xukClMR5GsrmTHxgGoXJrNF4pxP1eFspuaDAoTGHpW4eOgaKoCFFhbQ3VDOcdiYjzEZs71FE7Bh9wXSexYiN9Lsf8JQVVtZR4hygFfvSOqqxRRUVhNSRNxBOjIxktm0VlKLTo+pNKgBUdfYSyKI+IZV5MrKlIPhDDgI+Z+pfkxgmqNhDHzFtTUhSSex3DQHQt3gmVWpxvHSEMUtSMOiGlc7c5ZmRbJn1rZyRTooyWrmyIlLM5ZT3DaItF5vAhDBKX0TX4oRHtUBjEtGhxLs6vWowAcY7kxZRGAIacKqA0GIXSQpOckP7ghL4dch58HmwYcYQXx8hWOhHlDF0uIWvpU3RyTWydF5bcXSdljbBsVISVZ4TKHkfnT08iCOCgDdoIOCGhDSFvti0kJ464SeXJvpbJLw5E36JQ6GIhXeUMcKRs2lNUM8pqQV2UwjToHY1rafseQktQkeRaYYQ46c5rpdG6IGKIQ5u1+kqKM2MmNFeoWxptZLJVRuIWQ+hR1SnKXuQ11pJsJRsAEsqIZ0WIA4kgJntmIRsZ34OCOPREL5nwoCSixQu4obUm9C0h7VFlBTpn+jIDnbuRhYAJKQVwe5Jvc1RkL89WtUTV57LIhEj0opGNWX4RdY1OoplThcYmjU6KEAM+gYmBtLvCB8cQOobkqGdzcY3XJbP6jMXyEW1/wA/ish9Dx3DYZS+H0R1ZNiYCMipC26N6J10OY1FlnY2DFM5DaDuKMlGmikVlcUMidC3bMOCanv2u49B3HLqBvfPE2nKC53breHXT8De/fs1NF3F9z3y15HR1gqVHd56YDCohWbJK8dkPf8DDsmJ9dU2r4YOnT9h89Zq3t2s6HG92ex4v55TK8u3BsT6Ivv/d62u0ihxS4NGnP+DEFrz9xRf85ov3eCXz6dgdu98dnPo1KUqGtJUej0pgbSleJ2VBaS3aiDZQa1BJoZVl23Qc2pZHZ5c80g3GNZyWS1KzYfnZU548fUAVNc3NmmZ9R4firgnUn33Ck8vHwlpxA117oD20fPWrr7g+rFGLOWc/eMDj03OCxIOg0TTdgfnDOU/SnHk1wyD373Bo2N6taaNo/s1JzU9ffM481nzx9muqqqBczTiflywUGAK4wK5rSNER+4Fdu4eV4vmzFzw8e4IaErFLuKan2+65W2+ozir6Q8t1t6Hv9zgCoer4+JPHPJktQZfYUDC08PI373n9/h3F05oqyTyFVaxWM2yXWO8O3G0dzkQeL87EVPP3xz/bsTg9y90ioc3re+VBIpOnxoIwHjXSU38pF2hjPfO9LnVMubDjfm3NqIGMOTkoZvp+yF37iQJ9v8hiLKZyOTVthsXAV2c5ns7F7X2C9FTI5zkvjUV8vF/ep/y3xx9LmQkuhdSxg82xVTpeinvdTpEQeOkKZpM+7rMNcoF0f/N+v9gfN/PKZPlQIabIOv9cGpkEYwSeG0heGHLGyPqr1L3zHQ32MigjZ6ryNTneGHl7aSqkj4WhXB81vsZUfOTY3/t+DOOeI8H3utrAGJl37xLc+yJ9/+vpUuXvT+NA5X0OjMjw1FEemysmN1FydJ8wTwQgMbmQ1JNWPN+zzF8QmnQunrMMT/ZS98Yix7d0/5qM9xSlvsdqIb/VYw0+fnE0IRzlEVP3XuWVKWV56gh4xdEBP453EaVGpgb3GCFj0Xi8pag4PQfp/kmMz2U8Ru+hRE+O9yjtpHue2Q+TVGQEPgCSPMekxKCSPI85neLk0VPM02dEl80rmwO+bUQm6zoBAMbXGU2TUzo+D0pPxVYaLyZH8z9jDYXRlBF0J+BXTMJIabuewQeU1qyWc0pb8O56w998+Zqv3m/xUVFZjU+JWVVI8TjeYzXiLIqPP37O48eX+OAmGv2+abi6vkEDRilsVRJ85Ha9Z9v0NH1gNpckozAZ5CVcSNztWzoHaCv+IyMjZBRtZpNgY+WftZLeZItSft4eGVUTEJCRshA8rmshDMyqmnmRUEND63as5oEPnz7iyZMH2ELTdx2bzZa7mzWbzZ7Z6SUXj5+jTIF3Pe1BCvT13Q0319corXnywTPmixUJhfcR5wZ0NFhbcHp6TmEL8Svzjv1uw/r2mrZtKKxhvlhSzxZUVU3TBUxhKW3JYl6zWs5ZruYYrXCuo20ObO5uGLqOsih5cPmQ+XIl10CJKfx+t+P16zcURhPDwHYjv5O8Z7VacnJ6ynwxo64qif0OnrvbNdfvrynKueCTI0AoXUqC87RNK+BFXU+7w//a8bup+1icl1gri0Frst68oUMe2sJYFBqf4xgwRnxJgkeGsMwaLiXQQrUNQYrZnNaII1JGUEkTOymMUdA4T4ielDwuJYwRyrota9F4pITXsqAYFKUt8EC0QRZTFLUp0FXFMPSooiIZ0VMI2lSi82TlBgeZ0m4sRGLudoKPiaFrIHpUNriqCk3jHKFvJIpPl3nx71EkTBnwviPFQN+1SF5mFJpKUZGKGl0vIA6YIHKFqBUGJVF+COXfBemoamWxRYm2hqqaURby98b4oCEM+K6hb/cTaKDKGUbX4CPRtYRmB77PHXekgBt3Irnwla5GLZTlMEixnzXfWmlUIXGDJJcXBpMTDSxKF7KmKSXRJNpI/JwpjotVVJCi0JaUxGzEJDIHRuAoBkhifJaquSyQaFRRoLSVfFScMBA0hHafN23S+SamjDZqsDXV8hG6OkGpEkhoFWWTaAyFkcnXmkK6NSkSUJLGMJ8TWZLwhGxE5odOKPwKoiklWECfYqq5yEK0kXi55PFaE0PAmJJRL5qyX0NtCrQuQOXNlu8l31UrEkHyaJN0FK0tCSEKmJA3anFoQZPdkyGFgZScZCSXc8jAiFIaU9akKE6nuhR2Dt5lGl3AWI2yC5EcFDXEgC4K7OxCulW+J6VGFvxihilLlClw/Z7mcCtGjCrJuAhy/ZQqiVqTUk/o1nDY0BE5ZIrsqLW0pmS2OmO+PMfOzrBlQYwD+90Baw1d1wOR4FpCAJJmvlygjCEkxWq1JPpIc9jTtG1OBRGGgR8arC2ZF9D3LSl4uralC4GrzQ6s4WxR80efPGd31/Hm7TX/z7/9lvriEY8TLE9mPLg4YWY17SYSzAwfDrgowEsIjg+fPxYgarXkyXJO8/KGv/nbX/Hq5obLH3zAn/+Ln3H9v/yCl03HrnP0XuQqs0XN5ZPHfHh2jml7rn7zJX/3q6/4cr0npoAtCmxdowuEsRQ9Mcq9lk21mIwJHU0xq0t0VVHVc6wtsYWVTkk7oEuNd479bsu+3bNYWj5ewqzfUwwH/NstFz/5iMuzU2pf0N7csLm74fb2hqt1R39xwZ/9j/8G3UUavyd0HXfv33G9uaWfBT780Q+4WJ2x0DN2N1vsrKIyFb5v6d2ArS0nJ5fQBtZ317T7Ndv9nkNw1MuKhx894cHFA6pU0a072s5BVUNU9LsNZaiEzdW0dO2OoWvY9wdOnp3x5PFTlsUSm2Rjt+sO7Hc7mv2Om+tbyicKt+/Y7zeoOvDo+UOezApWyzOS1/g+sj9c0XWG282Wzg2oYHA5XkkZRRESoYrEPnC12bJ4suLho0tmv6fu/7MeSY0w11hcjBt4lQvcTO4ZC+HvFcfquEm/X+xPL85UwE1FZWLqit93nFcImxGdGL25x8z1cdN9X1uu8nw3dr5GF+rpz4wU83uF0dR0nc4zTu8hxbF4kfc3ZlfHe9+fDiWeStz7/WPhI2dqrZiTlozgx72LopSc49jZzucyFuR6BLK1FnA4xezJ5KWQCeF7kXiTBDFnikv0rXxPkQERnWnCuQgeu8cTdVgdb9yk2ef75ywxX8cielwLuddxne7SBKqM13uktafxBjFx70fa8veK/Xtfp8SEKI0Mkkz9F2PIUqLsbJEj+/J5jpKSCT0QNkOIOTmCY1deKU1Ryhw/Sit0vhejZn0Ec6a3Ohbz6vvX7z5AMp3r/Wfm3pUdwYFjoX+8XiEIq3e65ynIZcnNFD35KJhjoX8PwLl//6Q4vzfe75nbHaHuzCIZTR6VaL2D97hOTJ+N4mjamJN8JMVBGk94iUhOSfaq0RToek5ZzzNbccV8eSHXJTji0BL9kBOzguyVc/PJFOVkDhhjErbFCJ5N1y9fC6Dvexo8bi7Gat0gcsNlbXlwfoLSlt98+y2/+e4aPZ/z4YMTLk46mt5T1TNQWlIpkLlHa0thFZ9+/BHVbIZ34jLf9Q3ffPeG/b7ho2dPePDgnOv3V2z3LdtDT+9h8HByesZytcB7xzD0bDcHrm+3fPHtFb2Xxp8tqgxsQNDHvUhRFLJfKcVwXRelfF6WwvAxZkq+UEqaFG5owUnNUqnE+dwwUwP9fo9NHc8/+5CnTx9gCkvXHLi+uubq/Q1N21PPT/jgo8+YLc+JPnDYr7l5/4rt5o6Q4PzyEecXlxRVxTAMuMGhVPY2CAFrrXgYeE+7ucud+DUpRZYnJ5yfXVCWBRBxg2O72REjLOoKozXWGKw2ONfTNAeaw4HCljz+4CF1VWeQLoNjMdL3A9dXV6zvbnh4cY7rO9bra1LwXFxccnl5QV1XwrjKMtcY4OZmzWHXcHkprN1xrdP5GW+blrZpWZ6eUpRVrov+68fvLPR9spRlTcgmHiGCLQylWkgMXXayHNwgLpTBE5MnKlmMxkUgRSP6dT/QpSQ6X2MolSUNEUWgCz0hBDxC7bYRlDVYPYMUmOVYDWM0KWkSkcJYKcpSwiRNafSkTddK4Uf3+JAorbjQxxTwXrT+kBhC1gYTiS5glBR5bXvIk4Cgp0ohBWFVgYLdfk8IA8l5oSPpRujSViLK+kGiBrUCM5uDWlJXFbacUdgZyWi6wRFdLx15Dck7khsIGCmcjMVq8RvQEawCm90dD9s72mZL6jvRa8RAcj0pRdHpJo8/7Eh9K534iYI3TpNCFFTGkmyRF0GDtqVQioK4mScSWCudW21QtiRqg9bzTLkXbf9oLGRMCbpC1zOsnaGMEtM07/ChJxDRWjrvSQVUYbAxoNFEbUlezPlSKR0PuTdZA5ZSnqS90NtQuG6TTQUVkk1biea8OqGsTkRbY0uUEqPHkOlso/twjOCd5MVjLSk7AYfgqaoFq+WShCL6AXtq8VEKcGXk2ZiXBYWxdIPDAUPbE3zAFBoffM5YhuAdg+8IIVFp0V1rI0BTq3uMsXnxiAI2VeIOHaIXelgQCpTWSmLTdEHqNqLvT1nzNqZRFHNMeYKxAkSgPCEGghuEgpbEEFDQeZu7SgW2nuH7Hmstvj8QdjdElalCKFQ5F/ZJ6CirCltdEMIZvm8J/QHfHkiuOXbagkNFJ/fMKFAFo7ZfaHAKZwqCT9iupQiKkproB3l2Fczmixyn84j20NINPaYoqauKpAuUqiiqimV5Sb3q8a6la3tS6jGlol4s0PuAyjnLTd9RVDOigt45hhi5ut5j246//psv8PMZf/h0xdxYOjfHucR21xKGlsPgcd4L7KQUxazi/OKUanXCo3rF/vU7/u4//5p//4tfE+qCTz96jt51vPv2K3Zdz/7Q43ykC5H/4//+f8PD1Qlxs+P9m7d88eYdq4+eYf7qO3yMlFWJ1XOcU1CWsnnK/arSFpjS5o6gxRorniUKbIiSLNA7lDEMKdI2DWHo6doDxJ4HiwXWOVaxxxDoZ0vOPv2IeTGjv7lhe3vL63dvWPc9+uEJn33+nKUuGLo9Q3Pg5uqGTg0sP7rkk4eXXC4u8E2g3zf03UA1q0nO0+z3Qi0LUNSOUgV2mzv22zu+u37Hp3/8I55dPmZWLbCxoDu0bG7XvHxzRyoqTCndT1tKJ8LHnljA6uyMR/PHLOsVhS6xyeK7jmEY6DN9b32z4fW7d8wWBbcLx+XTC548esij5SXpsCf2kdQepKupZ8QYuXn9Hhd6KrMAyMkmkaKq0Ieeb99d0WvFWVHQbR1J737X8vn745/6yNV54qjTl+NYqI0FzkRdz+veUS/KFNH9vf7HfUqxfCIlyL3Oo8pFklZKoh0neuq9btW9t6Xuv9xYSmXjvft6/ZjB9BTi9N5jZtMJ0HAP1LgPDCSmLv5owiencM9nAJX9cHSWX6f8viWKz9pi6sCPfkT3wZL7YMN4ncb3E3PneDTuCp1I3MbovhGQIcVjUZ9ylNl4zjH91rUX1pYakY68uWUET45ISi7g7tG073XxUWPUm83/cmdf37uf412arutYYI6FZZgKTjHvTaipPTWOnhGUOX49MhLkLeVufVGirPgpmaKc3tORdaAmF/L7w1oBKol5mTZmKjSM0d/7vfH7gjGItj1EkZWEID4NKUTZJ2aGymQeFo9Ru9M1uP9ojUX//WdjYopIVK9yR/AgKA9IgWdsMUXijec6MV6mMTSCK8j+JyUkui7mcaYy6/WY9jWyEaaOclGgrZHz9l58IA47XJN9ILLWnhTRI4iTkowTkyUnVpKFtBKJHEFcpCSSs8YYSXtJ2W9JbrUWk/B7rAgD2MxwkOdBxswo1YlB0fU9nQrEOMMBh27IdYbiZrPn74eOX3z7nnqx4MWLJ5yvKrwb2DYddwfHtnVM5pu56VrNLD/49AVVWaJSpKPn7bv3fPvdK2JMXD64QBvL++s77nYNTe8YXECpxJ/9yR9wsprTtd00dvadY9fIfqtUY4yvROpJI5fcxRcZhCmqCcgyRSH3xQhzZQKGsmTIuw5cR4FnVVvOq4QaDgzNjgcPFrz44BJrNfvtlpurK66vbmk7z+LknKcvPuH08gnee/a7DbfvX3M4bKhmC84vH7I8OUcZofoPg2NkooxyJYkpht12zWa9oTnsqeuK08uHnJ6eMatnJBJ+6GmaLde3a0Bqr5gk435wjuTk+bm4fMBivpICPwMZY93onWOz3nB9dcPQDwzDwG67YT6f8/DhJYvFgqqUpLHp90JiGDzvr25p2o5LRsYM2ZNCvGL6XkzBxUhQiQn1P3L87o5+pkJbFUmuEwTGeboYiLkzR1L45NFEiqrEBdApiMZZgcqulWioy5IhSQSGd542dhjvZRKzFVVdsShOcNFhM8qmlKbME4ZXWhzFnUfpEoWmyuYt0XsG30PscXHIyGKisqUY+amEjolD3+G9xILpjPBFZKIERdN3RO8IjAhzmc00REvjDwfpwI6RN0VJUVhQYGxJUc6wZS1ReWjKomA009LIxjXGiO8H5koywl1KDH1H0gZdzqmLgpRd4YPzKC/d9d63tMNA33fE2BO9E5bZfaTVFrJJ8APRdUDKNPY0DXitS1S5EIo8snVSKFR0IjOIPkd61ZmlX6KMDH5tFFaZScJAjqHQRYm2NbqsUcqIDCA5opdFF2MpyhlaGSkEo4AuKQxCW485096Ifn3UbamMkOI9aWiEll7WaGtwzUbWC2NBWYr6BMo5tqykq4lBeYfzHdZWkBMU5KEtsnEKFFbyWI1RpDBHa4VV+aEKXvQ6fUssZ9iiZHVyAtqSnCe0Lb0BHwXBW80q/CAU/2gslJkpYA2ltxAGWbSURtmamCKmEJ1Q3gJiyXrzFDAUGCvv26hEGAb61FPNZsR6xuDOGJxD+YGimqGrGqssKlPoY3TCIvCOEB0JjbElZT0jhEiIPd714l+dZOPlQi/jwVTCtAhSrKd+i0oOPVvg+wNFuaQuV6zOn6JMwbZtaHY3tLev8M0VuFbuZ1GJZMJkPaYpUbpGFTVKa4wuKcoCqyRGMVAS6wptMg1MSSxNWdeg9/RO2B7GGpz3zCqodCKmFh8jtl5QmhnKgi0q6pmiS4qyLIgJTuaVdJxSwnc9/+7f/z1Pzlf02vCvfv4hpxQ0TUutBVAcnKcZIn1UNJ2wjZJWPPvBR3z04kNW5Zz2Zs2XX33Lt7c3rLuW84sTVkXN7ctrNpsDbzYH7roOh6KezfnRZ5+we3fF0B5gNeMP//xf8PrvvsElQ71ckIaOIQzELF9SRqGSIL7Y3CHS0s03Y1coCTPHuUCXwSqUxirZ1JeFZVbM0CGhksfqxGFxwpOf/pAHVc2w2XP75h2v375hq3ue/fRTPn3yAcme4HuH61q2m1uGOTz/6BNOipp5OSd1gdgLGj8uNodmz+B7jNWsbw5QHmjajt1hjTkp+cMf/AknixNmek7qE51v6Q8Hbq7XfHe7AWtIaEI0uFTLemMiz56/wIZEUZdYb3FDSzJeYmmalqEf6PaOX/z6G953a364fM6TTz7m40fPxQg2RZxWOOfADYTkiXbG/tbz6y9f0ceepTWYCCFnIXeHhsVixvLshGA1M1Ow2zYcKs3vj3++wzs/ticFwEwjYC+d/Jhyv/Ve4aWmjuG9QkXdAwruF3xTnTUW7PeKwlGHOhb3udCfap8RYEhj3HCajMem4jzlQisK4yhMLt2jhvnYwYz5RI7U4/tfZ6Bg7OrnYvjIGFBCpR0ptaNMwIzAhJm8huTaHcGCkGngMb9+zADpkS2Qzwkm6cII8gcvEoDR3X+khcsmYizu7nWEbS4AjEgG9RjRluK9DtZ4P45F/vc6y9M9Gu/hyJYYC/3coFD6e93zoz9Dvvv3Ct0p1z0XiOJXMFKWpwHGsS1+DygYO85a9s9iZl2hy0o+H3XkEzjE1OmUMZXBGWTvk7mM09+RIkyKd6UUxojxdUwBr0Me0rmwmUZ2Bj90koZKlH2cFMuamI4+MPf7+eMp3r/e8jHdu/8RHQPJFthKJHTjdRqfFSlivi9pGbPt9egxEDN8EtUEAIyvPzWcUjy+uxHk8gFvHHqQYr8oS+rZnNXJKcRId2hpdhuGZk+YZJcjI0cf709mWOhiZF+OKQ735pBsjBuTnsaAysDUvVPLw1So+pJCFXNRbLK+3hMRdjTa4Hxg3w6AoRki//e/+Q1WK1aLmp9+dMFqllPBkuSlO9fQdT1978RwO+NxL54/5dNPnpOCo+tarq9vef36HdvtHpsTrd69ecfL1++42zbs+0DvE4u65C/+/E/wXmKpi7Lk9Nxys+tRtqSaz1GDR3tpvmgFMbNLtdZYOxbzmfUzzoej475STIyYlEjRE/2ADgOFScytodKeYXDY5Hl0vmBWGtr9jqu3b7m7XRMiXD58yPnjZyzPLvAxcLi5Yr+5RSnFsxc/YHFyhi3LqcAe+o6h7zG2mObhkL2kvHM0jdRyJ6ennJ6dMV8sqXLR7H2k6weur+/Y7w8YI0Cad47dfs/J6ZLlcsH89FyMjrOhqgwLJTVe9Bz2W66u3nNzc8vQ9ywXMz549gFnF2cUpc2PU5pYTUPX0xw6NpuW16/f0XZDTlTIKVXZiE9YNJKWYKwlKWHs/mPH7yz01+9fEo1hcAMpOikQypJ6OQdtCTFiE9iqJClLipEyBoxCCrpsPuddNrQwmskXUALDsbogak3QAgoYFHWK0t1WGqULoeCkiEEWI6XFfC1Ex0BCKwtRjMNS8ITstG60IqQBH6HrGqzRFJWYm4ShlaK2KMXUBSXO5bagmi9o+xadHWF9CohQRShyCkVRlpT1XCYJpSiswtoKnyCFQIF4CIShZ/B97gRKNzuhIDrIXX8fE8laoXjHRGk0UWkOTUNyDRKkk39HKbnWSuILTVmiyhqrC3GN7FvS0ACCxAn9TbwKlDHi9q4LWbi0PPyyBstAs1pPBZnk9JpMGRuIgxhIxIlKp6Qzbhd54rSoKA9ywEuhpnX2wJHuQRw1xylmUx1IUR1lBIjTeoyit0wh5UUYVFlndNWIXmp2hlEWYwustbJZsIayqEVDbywaKG2BAqIatZU5RsYFtBUENvUNxhpJRfCOZmiJw0DTNjQ5zcEWNWW9YDgcMFrTOUc79BhrWK5WzKpK9EJRFrKTmUHFQO96KdC7Bh8DSVdUVYnOrsPlrMRF2WwYLTQpkqHQFTElKmNx/UFYA370c5DuRFEsqGZZCxVTjmeU58C7VmKKtEguZouzbP4v7IqoRCaCgjD0EAfI7qoJSwiNOOfHgCQIdGgFoQE7DHTuHcTIjYnUszNmy0tWs4LZkyf07ZLDdi2eHsqidImxFckY0BIHaG0hCRgMGBMZvKL3jtJCrSrRT/UHOufwbiARqWZzVifnkGSzalKi1BpdVlgzZ6Y72sMapS0mKnzf47o9IXpmswqrpeAfugGVoC4L3t7ccb3d8d//5Y9ZYuj7QPCRolAcDh1lUVAtF/hDS+9E9lJVBf/jv/lLnswXNDdrXv/mW17f3NF6MaIsreXXv/oNdT/w7WbLm31LFyNJGUprmdUFDYEPP/2EykeuvnzJf/ibr+iqFbNg6Imo/iDPWMxu3yrmjR3ieYFG6SRRoShcP+B8wpZzTGHRhRWQJyVc8NSFYWYihYYhKt7aBdXJCXOj8dc3HA5b3myuGc4NP/zBj/n44XP6my3tzDO4AzfrG1ZPzvn46VPOZyf4piMOA34YcH3Lbr1hHT2zhHwvSP5u38vcPRjH5Q+e8vD8ISUVVomJjnOevutxXcdm15KswaqKEAKdj2gPEcXDywsqLMYktM/gaIy4bmDoWnzf0+5bXn75Hd++f4U+NXz+s8/55NEL5pObdEXoDzgiShUMA+xuW/7mr7/h5c1bykJAXOkK9fi54eTBCe7djiFpZrqgsppqpji5XP2u5fP3xz/x0e73uQgcu5xjsWKnvHaTOx4mr21Tp1QhJqhqLN/vUdHvdShHcFm+uAcGTO73R3Anjt2pIJuu4MMk/xop9vEeBfzINDgap41aeUYGwj0mwve7rN/v7o8baSnwpUA86v6PMbEhGw4fe8W/ZXw2dqRhei9pKrTib73fo5HfsdgFpRXGWIr5HGMMMclGOwy9FCgjM0DlGEJTZjM06f5pO3Z77xkQjn8njiDJKMUYi9DcZc4fvgfKjF1yPSYw3WdkZHPCXCBPQMFYPE6U8UCM5ljIRp0LWM1vU8mnLnPKpd8IpthCuvh2LO4zMw4xnj02WGSMJZ1QMRfGQPIi64vDSInPY2uKeBwp/EW+TnIxxlQgY4/j4L70ZOwcjgWz0OCZrh/5GUgjkKLuXSPUkY0yjkWFrEVGZZPfY9UrvxUnSCbmv6k1xJifRI3EGEdJNEoJ8QVTKtteqGORn44mh6MfhQpAGgDo8r231lKUFeVszvz0gmqxEp+IMDIy8pygsgG1UtNzo1QGh+5TsBmd/xMmd1hVihNYNEV96pFdIv9GCYv0LQ3aqInw0Q8uF+mKbpDiP0S43hxYziqef/iIqlB0bUPvgyQiI8bGs6pgu29wTnT+Kkb+8i/+lHldsL674269Zbc7ELzUXlVVsmtaXr655stXV9wcBjoPPiTOTk95+uQRzvUYbSmMBA68fHvNrhmy/CUeny2tUUlLDUGOFg8SF00EZQWc0dby/2Hvz35ly+48P+yzpr13TGe+c07MTCaTZJFVzVK31IMbJRkWWrYMwa8yoP/PDwYM2JIhyQYkWS2ru6vFLharWCRzzpt3OvOJiD2tyQ+/tSPOre7ig1CuJwZwM8+955yIPay91vp9f9/BkMipzEuqzD6pNIYV1AacgRxEFr1oLMcHM9rNHVcXb7i9ucVWNWdnDzg8fQimomu3jEEiiufLJUfHZ9TzJShFip4wjqxvb3j+zdeEGHn09FmphZRQ+b1Q+eum4eTsAfPFAleA0ZylyN9strx88YpXry9QSuGsKV5vkuY2a2YcHBxSVcXLbVo8ynyaUqRrt1yen3Nzc8vt7S1NU/HRx9/j9OwUW1nkoRXmR/ADY7vh5vKKN6+v2LaJ25s1wzDKHBAjUWVsFgPgaZ621mBdiS/9a4Sg+6/fWegfPXyCsjUJjUUcS5UCTaBIrDHaEpF4gZwh+wFiIhuFDwGrSqFnXDEMESQyJ1XQoFpAgzgQwkgYJe/Z1bVovrMiZnn/2G8Z+w50YijZj0Yr5otD2k409FhNSgGjhCUQswESq4NjMb6IHqNB1TNicKJDN8UdH1k8+9FTaStFUMl4VFUlEgGlcVWDsZKnGXwgK80wJsZuIMSR6L104IzGGCfUHWXEgC9siSniSsGrbEVyGq1gHDb4oZOFI4kWy9Qz0VZnoD7YUTWUbUTKoAGViV1P7luRG2iFmR2h7QxlpZNOCtIdxGC1wkGJQhQXW8F/JYmgb9diyKYriXmLnqxBNzN0M0d5TyaK30CeJs4S0YbEEwolymKsdGJtVRfaloIgbvZZRbK1xKxJIZI0qKQIZTJWOZOyOGwrJQCPtkULZWssqlCDLLUVJ2PJDBb00+ZE2/Zs1+ey2LsGUzVo2zCmgEkBN5thTIX3HePVJdu7c+m0GAf1EdF78C3khO/vGDpHVx9g3JysK7LWDONAd9njrGM+X9HMFjirubuRyIzBb4q8w7KcL9EYxr6jGzzaQJMCylYYa9Ba2AVhaDF5IKXEQCAriyogBkmSFWT9CdgY0EkxjmLAEnXRbCqRtBgSSVnoNigCSkPVzAkJkkok3RDNTCbsqWMTRqF2NovS1RnIcQ5Z0i6S1qjZgjT25Diw3VzRtbc0swXaNSjtqJpjsjYkKnIuJiJaxn0eNow+i+mlNWTVUM8baqOJIWIbic+Uje1IpWKJlAlCkTI1Y8yEcUPo7mQBVorGVYyxpbttSWGkcoZ5HjAk0Jq2H6jHwLrrmDUV1miJ0dMGxsjLVzdU9Qzfe65DYDMEHj59gK4t241QvVGwWDV8+u67XH/3inU7EM4WHKWR6rmAH9u7Ncxm3F7e8Op2SzsG6vmSu/WWp6dHfP8Hn/DBg1PyesPLb1/w57/8gj9/uSZEXRg8gp5bo0hJChvZxOX9HldpUkzctHdibGUsVTUjKkWjl8WDQtP7kaZyHGphU+m6ojOGk9Wco1pR5YG76ztu19dUDw758L3HHDcH9FcdQ1IMY8YvMo8//h6PT06ZKYUaPYTIsG3xY8ft62u++/IVv3p1zo/+MHB2OEPPK45Xp9xcee7Gge9/73vMjGHp5oRBokPDOJJiZLjr+PaLl3x7t+b00ZJ0sSVGRZcUh4ua1fEhC7vYFXl+HIpbeKJvWzZ3W779/CXrfsN2bLG14kc/+YhPHr/DQhuMyoyDJxpNNpk8GC4vtlzedLxc37J47DAZfAp4H2nbkbYbODw5IncRPa+Zm5FNTCgNMy3mk79//d29Th4/2RVvCmFdkaVvmVISM76py18KZsg7B3nJnd95sO87xPcKnF2hA7tCP907hn1edCpyqEAIYdehvP8e8raqbHCnjrsWZFnejEze0apzibNLqhTX5bwodH/0ZFImxdXEeBQZ2j0dbDnOGKVgvQ8YTOXafb7Dvtgvm9Sdczu7LvIODZj6xFqKG6kBiz6/mPQ6a3F1TfA1fuiJ3sv8bwxV3VDVjURaqSmucMq5L2yGnEXWlzJZF6pGzve6guU48v46M3Wv1T3DwEleMXXKSzE37RmmKMXJgXECZqSbr/eU9qRJSRdgRpfrk3b97+kgxAVeNONCVTf7bnbxIlAg62wZJ/eZI/L15GWUyVORP46k4O95M5RusjaEqsZWFWoaVFOX31h0mArX6c7dH3cTMDD92h4k0fd09Gr3KwJq5SLrlCSpCQDY/+/eR+xYEXv2SXrrM3eF0fQLTPetjEqpjt9iWUxGfLv3unc9yuBFIYXR4MWc2lS1GAabCrO7TPvxMoF7+wQJXQp9U8wDJ4YF956DycdBvlQTY6HMCymK+WTwwrwFhTHFgX7YkGNgTIG2H1nNZ8xnNXdtT1U56sqyWszQCrZtjzWabiw0e6OZzWZUVc2rN5cimUmZ954+4IeffI+bqys22xZjZB95dXOLD57Fcsm2Hfjm5QUXt1u6MRLKPPbB++9QO0vXtlgjDdsX5xv+7C+/oO2FGc29a53T9IwUP5EUduM/K4uOYkJusiORdhR+o/dpI2iFRVFZjdWKlCPOKOqmwqjM+fkVt7d3LBdLHjx9xmJ5QMzQtVtCyjTasjo85uDodBcrF4N0v4dh4OrinK8++4z13ZbNXctHn/5A/LMydF3HwdERDx4+YjZflOaJSMB937Ner3n18hXn5xeEEFkuF7RdT9f31I3j9PSU45PjEmmudvNmRhU2wcjm7pbL8zf4GHBVRcyZd5494fj4UNg0k3ll9PixZ2hb+u0aP/QYrXDOEmOkG0aR4CBMsUzehYZoq3GVEzbBvTnw3/X6nYW+NYYUR6rS4VNBkXMkItr1OEpeeCymXn0IEL1ofH1i7LeCeFiHqxaEJFnz0Q+QMxZNb53EYBEYxxEVoyBFtxmrKux8xhg8YyfoVRjF2d3UtWiclSaNnsVihcrSfZ+QvqpqCIBVGqs1MWdG36NSxhiLzhFTNBwxRrT1xJTFdTPLw6sDhRqRhHqjwLmmTDKRetaglWWMEe8HsI56rlEYkpKuE2RBeJ2mWixFa5EiWUmEXfCyaVZojGmkE+EsGTFoccairZjLxDhibCUP3djiKfGGgHY1s+UhrpmXSBaHignve1KSfMnshf7eB7+jOcoaOkXJdUDG2LmkxKiMmc2Z1XPG5EUSEMQgUWkNtqaq5lJIKo21GjtR6U1NyIF5ZXFaNlkxRrJKeOtIyaIRusmQotgzGkXESveSaRMXpfvrFFapggib/YbPSOe8X99CjvihFcw2eUJK+GxQ2qFVxqWORIc2BmsrxnZLHN4wDC1hGDD1IdnOpJAKUgDm+TEpisTE2EpiZExJFbSG2i5x2mGtaDf95prNsGUs3gPKWqyS+MOxb2WSVE5iEbWWmBetUDEQwwYy0v3v13i/IY49Tiua4zNsc4w2jTjNIqGMXSpUvRK/keMgFOrsJau8UPZTzOKKbCuMjlhl0WYm6KKS8ZWiFGDT4qlVJo4dBI1XI6gGRZZOumvQhw1ZGXxIGJWxZUzklKmmDZyyhJQxypTCPVAbDUq0XUpLTGfxj8dWDnTRnWuFQoCN0QfMrKauLPiexkGarRhGRXt3wzB2jGMPTlgEwXf4rifEkVMnLJWxHMejh0fi2eA9xhmSj7x5fUm3ijw6Now+Er1HV5aj1ZxxGET7XzYFH/7wE/rtGmctR08e4LqRr7/6Fb/56huyUbimRmfNxc2Gq21HNJZZPWO4vOZ//5/973iyWrB+fc7L599x5z3u4RnxN3eMvmMMLSontBJ6X4jFhCkpkV8oQyIw4ncbfV2MXHJKjOMIuqexC2KG+WxJoz2qu0U7WUQOVjMen9Tk9o7sHWMOzJ6c8M7TJyzsHIVhWF9zs9mwOVJ8/IMfcDpb4nJCBZnDQ5Ht9HdbvvzsW16u13z7/A3X45Z/9I9+zOPVQ+6er7m9a3nng2PmtmFmbYk1ldSP7WZLt+n5q199zXm7gUXDH/7sYz77xUu+efmGoB3vfu9djmeH2Aw5yhw99rE8657LV7e8ubyiW0ZOHp+gnmuqi5oHjw6ZI6BESpGhXbPB0V539LFDzaQo+YMPHxFeaP77UZOMwfeeu24rGewqU9WauBE5k0XhVMYPAxdfvYF/+rtW0N+//jZfCS3zmyDyhEnzPXUYMztjuvvd6BRj6UbnHTBQHmR2Xcz7FP7y/Z3jfSmM1P1ON+z19goms1Vd9NNay8Z2ctYXafg9LTnsCn3JBg+ioQ5BQITi6p8mqn/e65nlHFTpkJsdDVmVLuWuopuOd3c+sjGf9kfsNu2Uf993eXevAlLsO737v++Lw7wraEOQ2EylDdZalofHspHWAuCGIODe0LZ4H96SBuzYCqpcLyhd1ompcE/TDjua+0TTuG8auI/4MqXwlfeYvmaizU9QRxk3KYprfEoy38qGXFhVApoo9K6bz9tdTuOKk36R3sVI8nFHu2bqkat7hf29KnxXVu/uT9mDGo1Wjimi7u3uvLCPrBWtut6d3wRexHvAjtzPSfKxA3im8V3Ow5iESiItED1/JI4joe9ElhgFbHd1g2nmRf+8g4wEBJn0/1EM6aY4611Bzv3rZjATSDWBL9NFufecML33/eL+nlkm3AMspjFqJkPGe5KNciHUXxvb+7HObvxMZo/iy8P+M8rxqHId9XQMKZKiZ+wDPgbi0BdvJAVWg9GYLFK8lKAbPKdHh3zw9EzWfOuYz2qsUWy2HZrM0cECax1DEPp2M5sRomi0fQiQ4aP336F2muBHDo9PGUPm53/+W56/eIPWlvlsxrYbuLjZ0A7CWssorFH8+//ez6hqx1hkyyF4bm5uaTuP0ZacI2l61qYpaDc3pd19kkK/yDGUFKTCmlLCTFQGa0osatZUSuGMFvmhgsoanMl03YBRA8vVIY+ePGa+OhRAf7uh22yxsxWLg2NWR2e4Zr5/3lIihIAfeza3N4xdz/qu5V//y3/D8uCIs0enjKMnJjg6PmU2m2OLUWDOmXEYuL6+4sV3L7i6uialxGq14uzBA5yr+avf/JbDowMeP34kOv+US0rbPqa07zouz19zdXFB08w4PjnFe5G1P3x0hrVaTBoRENZ3W/p2SwwjkJnNZ1T1nPU24VPC+1BYE8J2L0FmMkaNxtVVkTy9Ddz99dfvLPT77RalNFEJ5cZai53NUdmRc2DUFp3BIjTi5KUD6UMkjHeouiK4CmcrfPa0fU+mUPABT8ClhKMqetxMzIp+Ky7qxnqqIWGdo1nOsYAfZjhnqExVbrKlLt31GCLKi75Ya6HIplQW4piotcbaRhCoGDFKM6hIjAO1rchmJXT2YnIRwoiKkultjLhyGhL4EVM5oRuFjPcdJonJDIChQteOqBSuquWuBJn4w9gT+g1ZFf1bTKCMdA2yEl24lPxihFZQoxhCWbiB2Au6mka0qanrJdpoTF1hUOgUSX1L260FaNBihhjGVjYCRiLplLEoJciSMhbsDOdOyVpjsqJyNdoJpSr5gRhlATeVQxvphBttxJjRWCm+jcFpLYwKNDHLghpSFO1g7UhZUWUwBIKfkFvRZ6UQhUpfV0DC+whJY6cy0FYYpQFD9ANjv2GzXUP2pFBcfRXo+SHoBl1VzGeHWCt6mNF7lG9xVlzB2/aWFDtUc0B1ckZlXDG+sWTlyMaSs1CmY0wSB5IDzgkTpXZuhwbmFNm0G3z0KGNx9ULy3JMYIEkR1mGNo3Y1Fk1MEkc5RDEcI2QGPzAMN6RxTR56ckz4nPAX39EceZr5GU7XZGUlfQHpWsTkSzxKgw9eIvFqMe5DGXIOOFtJMygjpo3iUFm0m5DTlExgUDqTUmCsl6gQqEpXHIr5YhgEeFKBytUoJcZwSYsOUCWEnmkMB05c8kMMgkwGMSpMScy1tDEiG9HS9VdaoxKEEEkkrBaKYs6RFAJKKULyGGs5Wj1g2Zxy3W4YgyenwMFshnqghPmzvSH99lzM8PzI8dnA9z/+Htfnr9lsYIiwWtbcvLnkPG44mM1JSRNDhtiz7TwxKTbbLTln6rrm8eMzjh4+4GS+on9zzb/5N7/l519+w633HJysqLTl+dcv+e7ikr4kZ1xfXnH44ISffPp9rt6c4/3A6nvv8f5iyS/++Z8xFtNCZVTp5hX6pFakkKW4Dp6YhXqqdIV2BqstOoKtipOzQthNOVHP58ysQa9vSTlSVzJ/Hs4dh8CbuxvGU8fJ42MePzzFDdLF8tuR25s13223vP9HP+NkNselTAoeP/T0bYc2MGxH7nrPm9ihFw0pBJ6/OOe2H3jaKv78Lz/j8EePeXJ8TB5HUo6QoV9v8DHQ3bX8+tdfUr93zN87ep/z8zuenB0S34k8f3lJs1pwvDokD4EoOa2EcaTfdly+OGc79Ly6vKR+0vDTT34AW4W+Mpiq5uHJMWr0dK0wne7Wa7xz3G067KnmdHXAo/kZdYZXLy7IKdGFQNAJUzsOlgvOjleEu467scMdNMTOUy0sS2fJjftdy+fvX3/LL99u95Gau26odIfEo0KifJXe0+DJkE2UAmcq9EvxMnXncxKDpfuU+2lDu+9pApQIWFUi8pzDOKF8amuwxhbDKr3rhk7xw1Mnft9VZVfAZJ1JRgzApu5nLMex71yq0pEves5c6Mf826yD+4Ui92naE1V66sTBDhh4q7YvNO4p1m4CQPZFUCmS1P0iW+1SEbh33qGkAsUYCcMgQIafDJDLARi9ixzcFX5G2H9am7eOIZe/ZbIkJr0FOugSe1uo66Wzbc0+x3zyVZjAj+lmTKCNFKnCNpUGruzGkoqiH6fcB8V+3Ok9zTyNI9EP+KEjetmzKaXu5bwXnxX1NhtIlfGwG2dIEWyNRJVZWwCdaRztgBs5JpGqlLV5Z7KXduPifsNvL5Eon3aP86umYymd2hRE0zx2Lb4TU9ccvKzXVUO18JhmhjburcJYqUJjL3vnCVjYg0PFA6nITXTxyBJJ7w6nuH+U7EGCvAOkdmN7/xP3LuoeVJnOm2K0t5PivMUKuX+t9uNqb2x5DwiA/b3d3YVybLnC1jXNciku/SkK2cXKeM3tLW17gd30DKPo7M9Ojskps+kGjFaknBhHT2s0i0UjTdeUQSuaZsbtekvfj4SYWM4afvTD77M8OCCmjLU1v/nzv+QXv/wrYso8PDvFGMNX34nb/hhiAfkC77z7mH/wx39AU1msnpNzxHkBNpy1VJURL5sYCtsmyrgoKRoTY0jmlcxEfdAFwKPMUmZi+liDTsKKq7SmdprKapzRpaETGYaRBydLHj15sDunoW25vbwgRHj88F1WR2dUzZLJZC+kiPcj3XbN+vaGvuvRxtGPka++fcn3nr9ktprz5s0bHj5+zOHRkTRCtXim9UPPxfkFr1+/pu8HlqsVi9mMw6NDTk5PWa4OeP7iOx4/fshyudyzTFIUE+C+Y317w/mrV/Rdy8nZAx4+foK1Fby5wFrLYj4TU/okYG7ftvTtBqOgrhzOzpjY7mMUR/0YkzQYtdola2gtgLbW4JwTCVuOqPy/UqPfrS9wiLYhIJnldjNgKsesmrG0DdnK05ZURjmFyUCtSYtDFGJ2EciomDg60YWmFhhTlJ9VGo1oyYaYqWeWg9OPiF50PU1VYXQx9iurkp1041MkRpaiI8VEbawU7Rm2bcvoeymuh57U9wJa6D29T9zlY4m9UJiCVKXkpeukzY7ybbXF1jMyGuNN0f5VDN1WMhqbhqqqcdrifZTukxeDMA0oLR180Y1lVIqFuqYwVknuZEFjnZsh2MEABlkkMATfSXfZWYmMQzT21hoGH9hu7yRnPSuwqnSlNNpUzOYHaOOI03SYwFglJnpILrF4CCRiGHc0rZQ12tUsaontiMpSVzXKOgFanAFlZTAaTUgZVKG2aQNZUVmLcQadFcZqvPf4MaBjlILTSGGlTEUOxdU0ZYIXlC4ajbMOHTMpjQQ/MnQtYVjL9BpkIlKAMY4cPUolbHLYsSX1A9H3hCjLwmAMYDHzQxpzzKyusVhhY2mLa+ZoW8kmMESUCuAqvE5Udg44fIIURIscgnRXXTOjtoco46jqSq5fiigUxjVSzE8JP0nM1HwYcdYx9gVM6Q3aQKoPGO0tMQwQAyMZfMSvL7G6xtZz0acqLeOEDEqihBorulVtaqJyZd3KGEUBl1LZMIvRS0gBwiAEQONK0S++E65WE4yL0YmcFT4mMktSzOL0W7pm0oEB59Ruc2qMILl1CoQSiWPdiqgE1c5BolqstuLgmyIqeCJZ6HMFyTTI2mGNRWOIVOQc6QdxrJ27ilk1K5tBYcNYC0kpvK5Y9xs0iYvLG04P5nzyg+/z/KtvaROcrmr6MJKjwcckDAUytrYC+m0HhlEAhrPHD/gHf/9nnFYLulcX/OZXX/EXX37N66srFsuGmbacv7rk6xevGbwnJIj9gLaWP/rpjzk+OeLs3WcsrCVttrz69Zf8f//0t2wH0aQ6XZN0wCvJ7U2jZxx7kQmhoEgylM7FhCUTtER3WgfaWeq6ESlL8qihxYcts6aitpbKOZqc+erLL7m4vWHx3imLxRI1KlJUhL7j7nrLVYhUH3zAo+NH6JgJ40gIge5uy93tDbfXt3z9/CXV0Yw/+Huf8PyXL7m6uqHF8/rymqNxjnm45KP3nlIlSET67Uh3u+XNy1cMSGH90T/6PotmzngR2M4GTMo8OFryj/7Jjzh5tGJuq113rLvdcnH+ipg8b87PWbuWj/74I54dP8GMjk275dWL15jaYGOmbTvGbcuwbbm8u2H13mPOHh/R1KNsMjAor4jJgtVs2w63nHFytKLRjnB7h13VNL4heY2eWdw40qoNs8Pl71o+f//6W35df/uVdHFLxG5VVW9FOE2dX7QVvXCeNvdTF046pEYhc0opJlJhJVI6ndPv6N1EPXVfS5HLXvc9FbqUIn3vgD91NOMu9ivtIrek2BU6dtqZ2VGotOyKmFTeWu8KYGWsdMe0ZMPvj0G9da3edsnn3td7Gv8ulYD9/+HetZrObSq0d53Se53T6fv7ekpAFRSkhPd+B0yglOjJrbv3wxRJ6FSEy3lOJm47jfm9/0xdaCm23qZcm7K+TG7ge2bFdIATw6FE6Qa5N7mkmkzHv+u8K0PWGZ11YXLoPXUZAfeDD4TRl32mJFAJ0FqumTESv+bKJ+hSaO4QB7h3k3bXWDb1BbyYdONqAnZk37hLaSg+EbuYxel+lfcQCcOk39f7f98N7HtjZ4psjJGoS4EXhHFiSkKTtpNURKR4iYjOWSRk9z4XzO5rbfasl8lTYjr13VjcjbfyLO5ue9oV0vvzZ9/dL8DSxL6ZWAO7MQsFgCjWhjt/hn3xfp8pUS7v/s90jXbvtwctJoBm/zwp8Rczrui+E6UHVk4oYps5dHd0Y+D6dsPZ8SEPzk5ZFbPwGIMkd2XYbAehlYeIqxzbrufi6oYxJJS2PH54yvc//hBtLSlEfvvFl/x//qd/xbbrWcyl+//Vt9/x/PUFvY+78aGU4oPvvcdqNUPpjDGZsfdstgNfPX/NtveEOEWXplLch12xn0s3OxfAA6a40XvXXgnTxFViWm4Q+bZWicooKqOoncZoZB8XPVV1wuOnD1keHKCUpt/ccf7iBTfXtzz58BOOHjzB1TNphgSpse6uz7m5uqDbii9B1dQcHB3TffaC2/WW2/Wam+trYkw8efIU5yrQUo922y3n52+4u7tjPp/z7rvvspg3KCWyZqsVTe344P13+fjjD7DOkHOUKMKhZ7u54+bqirvbO+q64oNn32d1cIi1jug9XbvFWYO1RiToMXB9dcPYdxwsF8zmDc5NUiKZOrr+ltu7LSpnamdwRmFtkX9oBSkX5hhyLH74t8DD+6/fWejfnb8gFfQa68hZY63DNo4cImqQgadNLaM4J7RKGFfhvXTiw9ASB4/Woh+1q8NCYZFiwShN5z05wNJWNPMlPsfyUGhBRU3A5lLwBc8QCpqiECoTUXLkhwGn5OYNYwckQs7i2KzVBFUiCSmieRBXcqGjEwJkifdTBUmdL4/QzUpoWTmgSgc0RtHG6NRDjsznM7QxDEPL3dATfZDi3jmyrhlzwoYeoRyOxDFIoawNWiWcqUh+FJML4xiGFqV0Ob6I1hWJSGUdul6QUsC6SjYqKdFtNwQv0WjV4oFo4DB4P4pBW06ScakMVmVx2DRlwfYDIWWUSqCF/iWbiVL4pgQkfKLEZtTSwdVisGgo2qMy6WmjMMqhMlRaJtKYI8oH+r5nHDv6viOUjPn58lAo7mSyNijjiHEQ+jQaXUnEIikQ+46+vZMMUYW430cvhj44ku9J/Rp6GSNBO2RzIPCGcXOwM5KyWAPK9wybLa0f0VWFyopmfojuHTknqmaFz4rsO1TyRBQtJTkiCZXPFNOdDOTe0zRznFbokHFGy2cp0Hh81GQ/ir5UaVBQpUjq1+TRM3Qb+hDwWQrfZnlGdg6NlWtoZANaVQ6VEn3XEcee6DuRmIizBI4KpWt08qATWllsSqSxGOwZYWpE35FVIpuGoDQhig7UKCUGjt7IuWglLIckhWSlZGKSeNrIqEoig7GMgZ22zmqwztIYQ8wVwSeiD1gdqSpHyIlsNeOY8FkK/BBG6fpHT20LLbWuMcYWA0GRAKScRdbi5js2Q0xRNkVGDCdT8rh6RpitUO2WxlUMIfDtiwvm84aPPvyA6+0apxR/7xPHl99cC4ugdHfrZPn1rz7n+fk1Q4worfje99/n0azh6rsXfPPFc37xm6/47NvvCBpchnbb8/zlOV3wLA4PWd9uyMlz9OgxH//oB3zw7DGLDMP5Jc+/+Jpf/eorvri4xpsFyYtMIXrP2Pe0bUcKnXTAdhtpRZyAF5RoBLXCOIutZtSzRlIllMb3AypumDlYzcXTo1KZu8tL2qGltYrTdx5wuDpADYF+27G5ueHrF5f8+u6W//gf/kNmqmbY9Pjujr4d+O6r52x8yzjTnP30HQ6aBfWYiZ0453ojQOTtMHD49ISDeoYrC2q33nD+5g3n22seffAO750+4+HhGX7jue0vePTeY/rzjl//2We4x3M+/fgZOiuiHxnbLXfXt7x89R1hkfjgp+8zn82ZVXNsrBhbz+biluvtLe/86DE2wvpmzfb2lqvNJaunRxwdHLBEDAmVMuQxcvV8zS/+l99wO3b0MbJYLqiyIkbP6uEh6ranHQPbzpNqxWndsL1Ycx2q37V8/v71t/0q8wJ+JA09oXQEJ6MzYbncdzS/p/mdNvFpisUClJaC0EkclNammMKLPCCBxKOW4mpXiCR21OQY/J5qvyugpY8a496RPoeiby758WTpzKs8NRZEp59iKOa4Uy+2wJZG1kVd8qmzq4QFB0xFyFvsg+mY/9olVPe/UrlE5E6N1ELDZwI0/loxf7/Y2XXR1f7j3sYapNhRGmzeJTTtD2qij//bR5dRu4g/Va75HliY8uanI1I7Hf7UGZ5o+rpob1UpiO8DGlPW+Tj0+GEogLQtrtaT98D+3DOQdclIz/K7wY9igDr0xOBh0q7nEuc2vbwijgOT/n03VifDwGLkpsq4210qpTHaSU57YQNMmvIJsJhAj72PwRSBNnkRSDGtyvfUdP0LyLB7rwlJKfvJPfVenhdjHXouMXS2btAFrMmp+EoUGnecjBt3Q1Dt/RHivXEzfVwZ/znGcp+LvMJO7JgJzGIX23sPW9tdt/uA3L7Dv9cuq6nI13o/bvbo3f54yDsfgLckA/e/z/4eqTzJMZA9VXmewBQ2TizyCak3NIDR2HpGMo4UB+7uNjiteXByzMOzE5yBED3btufqds3ttscHkXBEFXnx6oLX51fEMg99+P67rBZzNustX33zHf/jv/g551drZvMl2mrOr295c32Lj4VZijCD57MZ77/7jLqS6rLbbLi6vOb1Zctvv35VDAKlngox7gCIVAClt0wp8/4y7ucHGYPWSkw4KRKTR0ePIWGVEmNba0gpst1uWcwcjx6dla65GLC+fv6CNy9fc/L4GQ/f+R62WRC8pIN16zVX5y+5Pn8DSjFfLlgdHJJiYrv1XN+tGUKkrmsg8/DxQw4OD0k5Efqezd0dVxeXjEPP8dERp6dnNLMGci7Nlch2O/LN8xdkYLGYy5wePX23ZX17zc3lJSEEHj95zMnZA5xz5CRsprZrubldM19ImlfXDVxeXrK5u+PZ00ccHx2IyZ/ag3YhRL578YZN2+NsjXNWai0tnnR7+YkMyjjJsPXfXM7/zkK/OX4gRh9GE6NoGHQODOtL0S+5hjEDweOUFCI2WVTwjP2a9uYKwoAi74xKquaYo9N3aFZLlDP47Mk6M+pEzAnf3aDQ1HXDtt9C9oBB+S2+H0RvXAz9hOYr9GOlNWZW0cdMNJmoLc5WzFxDVc9JKRC96DtRkEPCI5OMBrQVh2rnLM7NsEaMrrTWxVugx2GJGcauR5MZgiePI8o5xiGXCDRDtTwiIR1oMsTRM6aR4Itrp7HYJsvCjS60/URV4t9iQooUQGWLyUILM1ao3hAw1ohR2+jJJKrZgvnRWWETeEY/4lMv2IauZIAUd1tSwlWapIx0Bq3BlofTJ0FvFQFrK1TW6JSwRmI0Mkh3fjIx0aaAI0a8D1Smtlp08SmIs34Gn2C73YjeO3tMPWdWVThjUYjxjRRuwgDQWOzckUJAW0UYPZvrS4b1a/K4lsWUjMZKSoBtYJpYlUKWBQGfVPSgspiXGYWpZignndo4DiRALw4EebUVHpnF3WwlefVjy5BGYZ74lpyVbDijRymHMwqVNZWdibmiMvhxhGxIYySGkY0fGJPGVXOs1lz3HSF6chgIY48ftxJfFwN2cYxZPcBVNTklGgVOi7dBLo6havQEZWUSyBHMfLcxw4+yGU5doRcqYohsvCRNZBRpaEmFDVE1K6rZIapqaGYH4pGglXSdiPRjkIjNOFBVNbaeoe0MF4IwQpR4J4j7q9x/bQ0xeExO1LYmaUMF1DbRWyvU1Kyw1uF0Zt4YQky0oyb0Su6lNoxKiv2YAiorHAZTV1iVhQKVE8YojKkkqsYXI0YrC3oISb733qfw7ZqVg/mswWu4ePUGrRQPHz4AEv11wLqGdddJukDO+FzkCzGSMhgF7zw95dXX33Jxecvr7QZv4a7doipD9IG+izBf8enjE8Lgub26xbqK46fv8/f/8Iewafn26oKt96ytpm1m3G57eqMYx0DXtwxdyzi5VqPLHjhO+43SxDOgwVbidVBVBmM1efRkK3OGwtOQOJw7ZiqTjcb6ns3VOefbW37yH/99fvDwMWqIDNdrbu/u+Pb5a7bHM/7Df/InnC0OGTYb2vUtNxevuW23tIwcf3DCDx4/ZVUt8Zue6+fnXL65ZhxHzIHh5OSAAz9ntpwxblrazZZ+2LBZr0krx/c/+ZSHx4+YmwWhD7SblupwxkrP+PK3n/H58+e4OOPTn35CjSX0A+u7NTfDNaefPuThgzNWsxMqKnw3kCOMw8jVxQVb3/FB/Qx/3nI93KJqOP3oCWerE5ZuwTx7oo943+FHy+1Ny28/+5q13xKdop41xJBJOhLWLdrKBrgfI/PDmjwmqrNDzOHidy2fv3/9Lb/sfIEqINfevG4kD4M8ENoIUDwVqRNFP9zrnucsuLVSUDqtdTOjXiypZ7Ndx1Ko/6WTdW8zC8j7plz8hnyhsBYH/FJYmNLZlK5ytU8A0FNhrHfP8dSZVeW9JzryxC5I7IuJibKdS5EUd8ZY3CtM2B8r/Fvs5F3XM2kxu8siH9j9PMXobiqwYbe23Ddt23X81dTxL8UqE1CwP45cPlfe9x4qcB9Eufe6zzCA6fP0W5+tmWLp1I6Wb+7/THmfmP8d2vZUzLCyGEoDe/nAW2yF/T0HSQFKo8d3vcR0jSJHIAkLcWdStpNcTPelxJJRjBONEQBbi8v7rgM6dcR3QIARD59C+b/PxMiTAz+g8r6Lru8BXbkASrJyBMI94GK6PuS8l63EYrq3o//nwixR5RgMeA9FjkFKqHufaY0umMO+s56LhCCHyWW8sFjKcxm9yAFyMbo1WqRXtq6lOWWL90AxA59SJibgRylVrqXaAR3lB8tZ6t34Uffmh+n/edelV7vrYSbQTtAIcdi/xyaZ/kwsAqWlHtHFlFLp6dlJQBRQTcseVxnIR6eM7S1sEoOPXN60KAxKrVjMnbDxjGbwiX4UxvFENb/dtNysWwYfmVeO9955wqZtaduOV68v2Ww7nLPkDOvNlrtNizKWs4dH3Nyu6bYtSineefqEP/jh96mtRcCvgDPgQ+T6bouPwrD0wTOOA77Id3O6T9nfA4MyrlQ5/72EiZwk2lAldPZY5HNqk5nXYkR+s97Qti2ffv9THj44YRw867tbri8uubm6Znl0wrMPv0+1OGAYB/z6hs3dDdcX56gMj569z+roCGMNOUY2tzdc39xydbPGVQ2HR0fM5nNmyzkpJ7pNy93NNWPf0zQVp6cnrA5WuKoip0w/9IzjQE6JN2/O+dM//TkffO8DaSIPkXGQ3++2G5arA84ePGS+XMl8HSXqfbve8PrVa9Z3a05Pj9lsWrrtGqPgww/f5/BggVEZXYCXVJ7Htu35/MtvCTGxWFrq2jJhWTtGT5EwKiBaS93Mmc3n/E2v31noa20Yth3DOJDam1J0S26fdnNSVuR2Kwi0rUSbFBLjuEYFL3peVwFaNO3G4YH19oLtuKaZzXD1DGcrVssVES2UYw0pZlbakLxHaYt3Da7qqGOAmMSpW095l4LkkxNWG7J1ZJ9xSUwvQoaYArnW2Fo6zSlGZAmV3zXloQzI5Gl3jz5kaxnHARUyQ99RL5dklVgooYolmZ2IypCCR5eJIQYxpbBVRYUlNQ26xM9lpYlooWIghhdooTKbHEAZlDVobQv1G0kzqGvEkUGRlGFZFUozgSEEcdW2hpldMDdK6IBKE1PEaiMmEihyFrqZUXINpwnYGUuykpDgrDhjKuWkmA/FkMq4/cJNwpRjNGWyzzFhFAQEtEhxQCtNXVWoxQqVPNZZqdVVJoREmOJTUqB2Fk1NINKlwObiDdF3pBhx9Zw8W4CypJzQQTJcM1rel4xyDu0WaO0EgcweayrqZo7VFWMQjwOSdOxNLfIUk6RDLOi8UNH8uGHsO5Q1InkwNSoGXDVlr9ZUxmB0RUwRYzTJd4TgGXpZGGIBomprsWlk2G4IQ0cKLTELi8OpDIsjMA7rGpw1MG7Jvmdzs8GnoveLkRwGtHM0B0dou8QaYTwImGbxCnwxWcp+JA0dvruRRdDWIh/p17s0haG9ZLh7g3UOXy0xsxW4GTGXeJixY1TgZgtheeQOpXq2Q4dWAlxV9QqtLVFCVrHNHGMrQaFzwmEgZsYkEZMpRIgBa6qyWQBjNIvasagsISUx6JGQRUJMpOBJyTPe3eG7O8bQY6xlVs8x9ZzazjAJBt+RdKaZL3BK9G71o4/QlSZ8+69lEbcGmyLtm3OuxpHZcslvvjlnzApfwEtNYjafMXhfYmoSi4NDjh+ccvr+eywObzm6uOb88+dEYF45rHa8evWCJ5/+hHdY8z//m1/LJs9qmtUxD09WXG1uOH76iMezJcP1mj//H37J9c0t0Y4CPmZKxz6XTXShZBW6YUZ8PSBhjaFyFZUTTkzsW0LIbAq9eOEiyUVMrIlGs6w06XbN+e0afTrn0/eeoa7XbNqOV99+y/n2jvn77/CTd35A20K/HWAc2KxvuAk96bDm/cfPePfBY7TPpDERNh1Xb654+eYcP3Ys9YraWA7qBTor2tsNN3fn1IcVT3/wPk0zw+kGlbSYHG5bNm3H4vExta5Ydy2D75jVS/ptTwJuLt+QF5r3f/Q95vWCRTWHqCBCJrLZrtncrDk/v2VMga8/+5Lu1LB4sOLdp+9wuDjG+ETs5FlK0eOzkk1M67lpNzirMY1jUVfomFCVxc4tbCNd79n2PVXMzE6fEMyM6ujh71o+f//6W36Jse3UxQS4p62+V9gxPSU+EMeBOAxFopcBXVhjVmRMpciZKPXS1dVoJ2K2XeGlp46h2hX60t2KO7351EWeis+pYyoFVyq/S4nKvF8Eyw+KBntfqGcAxc5EcPrp6QemQirdj+ObIuh2RcoeNLgfU3e/4N2BC7vCZf8x5RB2/3lLCrErurlXXP91IOBe55SJij/tWtldo4kOn3bHk/b3ctcZvsfSQAr93b1XExhRrmgBQygsjrdlCtOvaTGLrvcdXSi08PuFKsXA8J4Eg1wkZLUm1eXnpwuX96W0mhz/y95Llz/G2PLv+q1rvcNBput4rwCdCmRV/LfV7txVkSeYQodXu2cj5yz7lntF6+5U0z4ucXrv6d+UfJu9C70Y7vlxYOha6SKWfRIgXgi1pCuZqmLKd5BGjzBW4g5ACAK+xXIt4yTvEIZLJKO6IuEwTgyEjSnpEuUZ02JyPDEd9O5PeWb1JBEoWeVK78bFfhyWcTChHlPxv5NI7OUAUxzi5PMhf1Lxvuol/jcGjBXWg3FW4uUKIcFYeb6NViincWePqNNA/50nty3eR+42W4xODH2FtprrbcvlXUvKSvYWTso1XzLevQ8cnB3z3nvvUtUNdT1jubwkZ0U3BPw40vWiyT978ICTBw+5+cVfknLC2op3nj3myWNp5mprObaG1WLJz//qFa/OL/GqASQVJISRUPwGRLbCvTlJsUOOyny3c6Mv0XE5gFGJxmSshcpAZRTOKPp+4Or6lpPjFR+8/4TgB85fveby/BKVE0cPHvLg2fuY2ZJhHBmHns36hnazpm5mnD18ysHRKSiIvsOPAxdvzvn886/px0CzmHN8fLhzqB/6ltubG1KMnJyKbNE5V7wkMu2wZbPZ0DQNrqpJOXF7u5ZnKQa6tqVrxTT77OEjDo+OqWrxYpvYDl3Xc3V1zVdff8flzQZb1TidefzohMcPT5nPaxRJjD2n+beYbT7/7jXfvjjHOsdiVlM5XWYlSR8jJ4auY7u+Y7E6oJmvmB+cMFsc8De9fmehf3P5ElUM9pxrcIsjmnrBYnVIdJq22xLHGqUUox9pt1doEtlklJJceIzD1HOUUVjjaOZzbFXRdgPbYaBKiaoSZJyY8EqLY7WpGH0gji1k8FqhVGI1X0nkm9HSsVIWO+m4tC5FgyE6mcCMApdlU69URqksxilZCgAxdtO7h19rRdIJ5QNJQVYaosTqjaonO0VdVaAdKYFTgBGTsBAD1JXEfg0jMQ5EkqD+CZEPmImkLiCByhkfPSkGKmsJQMwBkxXGJ0YCaaKiWUddC3CiKSYwo2cMo5is2QYneXsyqSswaNBS+Blli0leIngwjSGWh1ZnobmZXZ6qpC5kIBaNOc5gtIMQGUNPHHqqqiIYRwye2gptMoVAHHswjtEnVA5ka6irmqpyRCqIAWWFBeF1woyJoR8wVSbrgDIGS+JgPmM1f69ENUpBT4xFRx0xRDCaNIqxSZxy5LVEG9pqSVVZoR0NA5GNOJ9qhTEOkz1puyai6b2nMwasEzQyJfwg0gyVxRfCGI2pVzg3wxmLtYbU3RI3l2QUA5pxGAX4sFbiHKuaRKbtWuL2GqXESTMXRonKoq8Wdp1mrBoxjTQVqpqh65o0ZNLYo4qnRPCReHOFdl0xQazItsbVC3TOxDBKcoOqoXZi7jjckUNPDqMASwX1VspArfA5EcYtauzKtwxUC3S9kE2vcgzbG6FjVTVZG0LKhJAZwx3WKIYYUNow61sBdtIoGwbEUE5r6dRn7Qg+sDGKxfJIxvXUpQojRgsoJ9EPlkobvANNJbRB54h+ZAg9IWeqcaQtZpxRJWbzBf1mLR0R49DOcfLoHVL3kufffIYjsTSWqsrQtjxft3z75oqkNYvlkhw8NidWyZNUmp4oPvzhh3zy7CncrFm/uOIvfvFrfvnVt6yOVzTW8eLrl9xmxXvG8pvfvmATxbxPWcfyYMGzZ495tppjvae/uOKzP/sN/9O//ktuthvsTGQRkssc5B4YA1lLMTFtXkE6DFEJoNRl4ugwLpaYxoamWaKGgUa1mFx8UaJl5hzXmw13bcsP//h7rHxmfXPFtuu5iR1HHz3kgwenbF9fsXErjo9Hri/P8RU8+/hDatewaBxuNGKKt15zd3nDN18+5+vnL/BevD1MNLx5ec7s/WNUZbBHSw5PjljNjzEhApJpG9pePnvTstJnKGBWO4auw80qrFUMXcfq8QlHp0ccz4/IPpTnMTD2I0M/EEPk1Zev+OXnXzLOIvPHkcU73+MH732feVA4HMaKDrDvWlAer+fcXQY++/V3rMcWbTSzpqHOGmU1deXobiWGMXSeu3HDhydn+DFSPTzGmb95Yf3962//5fuhNO4NxjpcVUsXrXTHU84FnBRWmkTgSUkkfiQCamvr0NZhSlEy5bj7MZBzTwihRC6ZXYd6Fys1/QFQk45auq7WVbvs8rLN3XV1hV0mf9e7bv1UTKpdxybvwISp8S2RmpSOj5pKqKnDnHPxLpkKuFJoqszObLAUzRMgsC/6eKvIvw8KlDejHNFb9yHviurpuN/u8P/1An8yQdt9vWMo7TvKWSvIet9FnqLt4K33uc8w2J/DPbr4dNjT98hiEra7Ztw7jokJMNH79134HXAyva8SiV5V1dJZ1tO4KEaOscQthrijs+dpkORcZAzs20dKKN77a7/vDlOABWBPyd+d1wSZ8Bagoood91Tc7w35pvQGkV/uNP1T7F3cR+ClJGaPe+DhHsugNHEEWCrgVi5xvGUsDl0rYIPdF+d7Wv0efBLQRd5fdPxOvLAmQKK8NzkXMCFInK+eWLxG3PSNFNN6V9RPyQx7gEJNYEu5TnKk9wCjnQGkRRXJn7WVMCqmh7B07FEK64rp4a7Q1+V+CwMXLfc1pkDyUZp9BBQJpeLu+XEqc/b4GfPYs/7mG5QPhJAYxojWke1dy+ubW+62A67sq0U+qSStIgoY8+zJI548eYSzjuubOz776ltuNy2DD4w+4GMmoxl84MuvvuXmdk1GcuHff+cphwcrEloMMkPki2/f8N/8jz/nejNgbPFFKIBGLga/THOQUsWwcxqU+wJffi+Soipsk4wpOvPayB9nZP5s+wHvI+88eUhtNVfnF1xdXZPJHJ2dcvb0XVTVcHu3ZlGYK87VHBxXLBYHrA4OMdYQ/YgfB+5urvnlL3/Fl189J4REU9cslwvGoSWlJAygnDg7O2WxXIr3l9bkDMM4cHV5wTiOHB4eUjmHQhOTeE2lKMkhy+WK5XJJ3dSY4jUxze/j6NlsNqzXLd88f82b82sW8xk//dGHvPvsDGeLhGZn+qrEDyMExm7k88+fs9lKTVc5K6BbioCVBnFKrG+vGceBR4fHLE4eyL7f/s1Swt9Z6FfLI0heFlRbMbRbNu2azfoWSMRhoHIOXc1Q1rA8eSxd6QxWgbMVzXwGxrDtJQ9dK8U4SLSDprgW9h1ZDdiqQVtFO26QprYhENDGsJqvcMZJceaakv8eUCkT0yid0LxHz6cJMlmAQFRJ9HDDKBr7rETbbUqxgxTFbr4QequpyVkRQotWhhA1lWmoG0vsZfOcUmTIiSoM+EmXpzIpyHm5ylGlhK5naFtJsYNCpQBkTNEfa2XEFCZFxhRQaoFVlqwLvS8jk1wGrcQMTYyHwCvFct6gsriJxgyBhMlZDP906eanjA0dfmjZjn3RI2ai76lMBcW9PWEEO1JgRvZIF0rkDmlLGHuyNrTjSNdvpRBRSXTQxtGPXo6lv0NlqJs5tZuBFeMkkwP94AljSx47dD3DY7CVYUyZ3PaoFAVpNB7nDCaCjz0pIQZnoZcFJg34bitGftZh6xmmXshG0Bi0EoqlxqBmc7TV6BTxQ8c4tgzjiJsJ7V07Q+VqnDJ0vcSy5dCBUVR2xrxakVJkVs8ko9h33F68ob27kC5ONUdXC5Rr0Kou99ngfUcOg7j21jNyGsQwkYyulmAXUPRMlCdD0DsNo4BFWTtStSrZ9kvmq2N83xGjR4eAcQafImMYiAlcvcBpLQY5KpDzAuMqyInYb8ipF9Mq5Up3oGwmU4AkIJfSMsnk4MlkAhHr5qANnR+Frj/0xByQxAiNnR+CH7i9+lqYBymSlREnYyva0qQV1i7IrqKerfDXF8S7V4ybC8HcTEXlGlBQuQpdNVhTYaua2XJFZRdYN2O+OCb5nqHb4Ps1ob9F6Yxr5vjLW+6GrUTs9S06K9Kzx/z4vSe8fvkVN5uWTR656wzLMZLR9KNnO46MITKrK6JODCFyu27xMRJz5vTwAHPX84tf/IZf/OpzPntzgZo5KmW4fn3DVy/f8OjHP+O7796wHkbqumaz2fDkww/5z/+zf8ypc7Svz3n17Xe8Or/mr754ybe3tyQsyjlS1gIsKYmYJId9x6yMi5yL/o9M9hEfISjEE6JGQKIYMDqhc+So1hzUmjCvaJwh5oAziadHh4SrK7abW1oLn/7sJ6xSpl17vv32muGJ5SwkZg9P+PDxI6rIrlM6hK7k19/x5ptX/PkvP+e7q0v6FBhC4s03b7h+ccP7jyreee9jjmcznNXMbM0QtozdhhAUm7sNdzdbuuhl/gyR2bxifbPlzatzegLHD45ZLVc0xmFCFpZQ8oTR44eRbrtlc7HmN3/5BX/x1Ze8/9OnvPfDj/nDT/6QZoiQ16SQGYMnEVFWMwzS2X3++Wv+7C//gpvuDjef4ayl6z2+SdQ6cXi4YvPtmu9e32AfzHDGUT04o64OGfrE719/d688FRaIiEXtunOqUHdFHmisxVhLVTelSCprvBbt7y4KT+td5zEWqn7wgeBj6crrfcFQijQzmZmVAsEYvTN+U2WzKEXb/eJ46gDuv54K0vJoM5Wvk2dcvtfVLb9VYt3K/qYUiGn6mn1RSs47GijsYwX3KOFUcHKvszn9ff/1vX+9X0Hvv7/r4PFv/67aO7vf10IrFDFKxJ78GYh+JIYCPBd99uSZoLXZmddKcz7ti82YdoXtBEhopYu5XznDqbu+P5h7xd+eEbLr9icx6bt/66YOMaUplMoAjFG6lb6YlO6O5V4nnh2gsAdiptg6OY57l/S+/CLvj3kPbuyH0I5BkHMBuKYCWor3dE/ekfMEHJSO9tS9n6j/O9PHe/c378Gl+2NGF1NIbZ3IXEo82VTU7wEUeT6Y3PQLqCVGf/tjyAU0SEXuwASoFQnERJnfFY/TCJuYGrHEaZMlVaIUmrtCPESR7cSwc4HfndJu3tASOVzNsFUNGfzYE/tO9kO5FIdGoonr2Rw3W+KqGVU9w9Y11WwmtzD0Ys7dS2RaSsJClLQZvwN9tNLMzla8//57+OtLhps7hhC42fZcrjs2Xc+m74gpi/O6EXDBVRYfAjEnjIanjx/SdR2fffEV//Jf/zlfffdammAx4kMg5Iz3nuv1ltu7ltEHUIqz0xP+/h//IfPZjM16y+3Va/q245//6W/44sUVrl7J9S8AHKkAJWVsTwDlNDXsICxV2oypAEgKUCK7cBoqnZkZmFnp5mut8V6anAeLGXfX1wzdloPVkuXqgMXhIco5vnv5it5HPjk5o54vWKm9D4XWBaRD/J9ePv+On//8l5xf3oqfG5nXby64unjDe++/w+npCQcHK5qm2QFDGbnOXdtydXlBXdfyXMUoSV0TUJRhvlyxWi5ENjs9OVmAPj962u2Wtu14fX7Nl9+8ZN7U/PiH3+fZ00dYp9CqrGNakZIqvzcy9gN311vO31zJGqQLZ2kCiLXGaE3wgevra5rZnNXJGbZeoLQVyfff8PqdhX5qpVAL3SimWSkUp/liruZM0TyLxprgWS2PqZs5WStqK5tzHz1KV+QsJNSQAy7LTTFKY02FMpbKVGIolsUMTDvRXVttgLifuHMijANpHFDDgGlmECBqD2TGLFpxWzXEglLqMtkYbXH1nEBG5yAGYzGhrCJlKxT/4MW4IkZyyXZPQfQaoQtkP9JUQlNqx0CXAtZYqrpGx4Q1go754CEl5kbi7ZDyDV0mqJhkUxJzoh9ajFaykdSVGAjmWDRtRfeVsqBvOaNVFGo/Gp2gNAzQMdMAcezx/R3t5pb+7oox9IKa21o6tLbBLZao5hDTNDTNgkpZMe4r8oXsPSEM9HdXBO9JJJLWhCgSDu3mKGXFkFFrIhk99lgtRi3WLXcxRpqEiZ5xc027WTMMHT7J+9ig0c7i6loy52s7eSaRchbdLxptNQlLypkQFCpHkq6wBwucq7HOijwhgS9xIFEZ7Lxm6RwqwjD0+DBilUG5Gl3VkBSpIOwxJkISjQ0q4xbHWKPJKdAPnSwC3RbiiO+3EsFYL2UisBUoSP6OTEVSiIbU1GRrIXmMW2HqBdo2KCTCRCuh3Mey6I1jR+UcVdPg0OQYUNmjMDhn0Nbgqhljs6Tv1/R3tzhTsZwvQDuU1URMcWn3JGUluzVGhu01VDMwKzKTuY9C6suEEggNFaI4sWbEtC/2pH4jY7osktFYVNOgYiLHTLaOlA2xv5bz1RVeG7SyqCBurSR2n+lMhfEj/faasbslEiAbiIk+rFEpYExFtTjGLeekEFlvOppKU9maeHPB+uILUJG6qRnDyNi3ECOumdEcHLFYLoDMzc2al9uO/+KP/z5+c8XV3ZrnX37Dt9++wlrDrKkF4HOWcRjROVEtK9ptz6YfiaUjdnJ8wF/+1ef8q1/9li9fvgJnaNBcX9/xxfMXPHj/Pfz5a4Zhy6Kpubi6JefE0YMHPDucc3P+mrbrcE8e8pNPPuHi+n9g2PbkZkYaRilEim5z2paIV4gqXqIyj6mpIzRpFJW4sCptioZ5xKkBlT0L68gJrNI0tcGmwOLBCbPGMPotgwk8+fg9HiwOCestGcv5+jX140B1OOfJ0RGN0oTYk1Mglbid0Pf0255vXlzw62+/YhsGALwPfP711xw9ecD77z/hwcEhMy1MHMqiabFCK+wyv/jVlzz8yRNMVtw9P+fbb16xPD2kWc44PDzgqDnA5kzue4YUkakwEYbA9mbDxdUtr74757y7JTWK9z99l59++AOqZLFaQKukNDlk4jjS3iVevem4uHpFmCVmJ3PSDVitmdUVYYysu57lccPm8o61H7nsW95/+IDVYi6yA+zkrvL719/VK0aZQ5C1LrDvbJZWPxgr6TXOYZ3DNTMBOKeYtkLhlWpt2rKKx0g2JbBOS673pDsWvazZm7vtCld2GfE5BsZhIMYgBZG5R1Hfdcnf7szeL6inoj+Xbv7u93apb2lvgDUVdIl9Afdvvef+3+5363cX7/7ZTx1QuNeZv/f3e4DDHiK4fx65HPyeDZCn/e9UPMdE8J6x6xm2W8Ig+6kdQ6OqcXWNdk7mwBKhOB2vFK33stlDKKZYQiVWWeZEbfb3bldk767K1NWVzXYu6MFUWAozoDgilPdSxZx4YoRMxaocy3R/BACigAG2SC611nuXeqN392J/TWJhnZR7qxI5F4r5BBXl6Tqy+yJNjJKpcz9dhzT5A5SfvtfxN6UjrktM15RsYKzdJRWowjadJCT3x7meOtvFQFhCqwRQko8sY2pX7RU2TNFrT3GQiby7Z7tjjpEoGs+dv8Hk9D4V/wJGlE6/yuXRKuN0YhtoVbTx98apTaQkyUI5xnufwR4sT+KjhFKkOAj4NHSSBlTW2kmea3KFMpFIYBxbxnGGdY2YWfqBfnuN7+4gedASG5z15MeAAI5KkqnafuSjP/oxT2eK3/zyL/jmm1e8Ob+kHwZS2e9WVkx1Ry+JP8Z72k5Y1sZq6qbh62+e82d//iu++e4NsYAZKco4toWtlNqBULrGzlqePn3Mp598xNHJCt/e0lY1h4dHrFavsdYK8KKKnEjeEcJ0vcrDrRT3mTTTNDEV+/s/SeL6tKLW0FhDYxVV2W/lFCW5K0XWt3fUtePw6IjlwSG2brhdb/n26295+M77NPOlNPFK7Lg8AzIXjH3P3c01X3z+JW8urhhCJGbYth2//PO/YrmoePL4MUdHR7uaZXr+YhhZrzfcXF/Td+JxMAw9t93A1998hzaW2WxGVdfM5zNcZQWU3QFpAvxtNmsuLy+5W3c8f3lBNwT+8T/8Yz766Bm2Ej8CAbZE/hNiEOniekPf9mzWIyHG3TW0Vu+m3okZNQ49XTdw9uRd3GwJWpOVKqydf/frdxb6qpLOkO86eUCUAleh60Z0Rq4i+pEUQWcFEfx2Qx49Zt4wMwatxNyh265lws1QNXNcPaduLFVVk8NIt2mJ45aRBCrLAO03pRtbHnSlWCwXDEPi/Lvn+Fa6y3Xl0NWc2cEx1lVC1bI1ufaiyRgjWotrv283VPUcnzN10+Csw0cvCQCmUACDdKRNWRp7H0g5kJRiGHqMgs630FnJhjSWFBNjJ9TClAKBWBawSqLIskSIhZwYt2vyONBUc0zVkAv9MAEhdPRxizJaNrTjQFNXwpIwlqRLLJyB3I/krGh9j1IwZsXQtyhGus2acejQrgZb0RyfUc8OyUpT15U4kwN4j1WaPA50mzdSyOWIqhps1dCNEjGYa5ndwziglSVVDcZU1K4RR82yuKvaoFJE54hWmiEEQaGSZKtnJZnBdVVRmxrtamLMaKWokofQEjNo7cRRXyuMrTEKqtqRlWPRzAgHKwyZkCMqgckKbR2pdD1TzjRWEVOi6zqGm1tSkYaMKRGjhxRxzZz5fC7xhEG0u8SA77dorXHA2G6lo6Anio2wU1LVoN1MOjtVhUa8C1ASpae10Lo0mWxryCKNmBmDUWL8l9BQ4gSjimgCvRqJ7R1pG+m8JwxbkSRgIIo5IdqArRlDMYsyButmGDujaRa4umHmHBlX3Og9unLMq0d0w5RoIIuFNFIcRtdiTKgzoR9IoSfGgLYWiyaO212MFcpRadmwuIUj+JEwtsTxFmUNzh4Ji0LbgoRqUi6GOdMCmxNDJ8i3djW6mRXNXpCIw+oEY2qcq8ldj1ERXSeGvqcdB/rtG4btBa6yhLDAWsvq8ISEYtjcEdsWfXJCDFDXc9zMMPrMf/qf/Ee0Xc//7f/6f+fVd6+4uL5mNmtYHhzQzGdYwJJJMXPdtVCAiRgzhIiqLRnFECKzSqh85xe3HD55wo8/+SFff/EF9fGCz7/6GrSiXizIVcPyYMHxw1PebSryuuPlb77iFz//DX1WkAI6jlitiOOE/N/vPEknZGewlMXYSmlQVlhBlKhCXUcaa2lSojEinYlJc1ApjmbFR8MoZtoSoufk2SPOmgPG7YaY4M13N3RW8+EHT3l0dIhJIidSimL0OTBsBrZ3PV998R1XoSMU/Wwm0/UDl5s1Hz76hEcHx9gE5ITve1IIDMPI5asbvvnuFWsCH/7xBxwsl4znd/zpP/85//LLX3P0/gM++eRDDpuFAEkkCDKOfciEPrC92vLt85dcDLesTuecnh3x7mLkD370IfPsyF66bGnwbIfAsO3Y9LdE5fCHmUfHMxYDfNWscMrSOMNy3uCspusHyInlsuHquzVmZjk7XpFtjXILyCLR+f3r7+5lnRUDOUp85q743lP3Q8pC24+xGOUlXJMxVV0cyHPR5E4F7BQ1ZnYdlInGnKI0N/y9DiM5o5XGOIerrJjnjiP9ds3QdwLKlXg3PTmlT+89uayXOLldMb2jG+9dwvcAQb5X3Mayqd07XufpXO5pwd+izJdCreABTFzbKYFATAfva9hL1/le137fnaZ0oafjnzaf8oP3AYAJfpjM3Xzp4CcfyEXW5uoZtpZmkJoYEdMbqKl7vZcW7AkJpXBl72ugeLvQn66tbB3zvQOTo9z7FURi8OKbVNzRJ2NE0YM7bFVjqxna1Rhrd2OG3fGl8jtTsbsHGNh1P+/r4e871Wcmhgdlrpcf38E07CEVmV+1EjhejOfk8k+eEDvQphS+05jbxdtptdO0K6nk9oAM+4/aGVeWeMiUImH098ZhvMemmA6vjENTvLOMRZsC3OxSMcSsTvyCyv1OGYPaXcO3AKQdypELsCq1QIHA96CVKvtP9fb1ErBsAsYm8KCMqfJzqYA9MUaiH+W8jBVhfUmgopyXso5sJaI6jFv67Q3ZD6SxI4cRlQNaIQBKVUkzzlqJlNSQs1xzTWZMGWMtf+9nP+adx8f81//1f8+Li0t8knNTSea8uhKgYvSBNCT6biAl2Q/XTc3F5TW3m1ZkuCkxeM/gg/xM5ahrh6tGjOmIShjSDx6cMZs31M0Mi2d5eMjdZuDnv/ocHxNKC8NmGjM6a7KRzPppHsgqo/7aHZvui0Aj+2Jfk9FZ4ZTClinDaI01Rv5UkkiglGZ1cMBqdYCrG0YfuXh9TvCex0+foYo/WEppF88YU6ZvN7z+9msuX71gu17vZStZJFlt2/FHP/0Bx8cH0hApgJn3I2PXcn11we3tHdpYDg4PmC+W9P3Iz//sL/n1Z99wcnrC9773HgerhYzl3TMqvmopRta3N3z5xRf4kHH1EmUc773/Lj/5g+8zawxKiUw7jmI+qTIM/cB20xbZmCRbLZcLZtUNxjqOD5eSQDcBeCkw9C3WOQ7PHoKtCjON//WF/vzwRNzdc8QoLVoRY+jDSPQJbZ0UMjmLBl8pKlMVHZMhpMRm6Oj6TdFnWGZaIszy6Ok211yPW/q+JcaIriz16oC6meMzqOwhZlRdU1czmnpG3wdevnlO39+gk2d1fIw7OGQcIz6MbPtbcowcnTyA0UtRlxJWW0bfY5qa7AShT0mxGTpQStwUNy0xBdr1NYSArWrq+RyqWrSwmysYosR1ASErcrMg1pXQSFwlhbAx1NaKQUdQRC3u74vZnDaDNY7oB4aUGfsWowqKnCSezDjRh8cQ8Drj/UAax7K9AWUdfujRccTNZmjXUFW1mCMaje8T9cEBc3NGUpZaQaUdWStCiKghEHRgDAETRqrUiBmeMaji3q2y5JenqiaGLDrVJCwDiQVKkMCGTjI/Y4keVDImrbVkTclkd1ijGds72tsL+uDlIfEdJg1kZaRTPnYy1lyNXRzSVAtsvcDNFphKDBZtpcWEEYklxCu64IGITp5GS2zeGBJ3665EZIwEsmjsXEVthGrZFM1XGEbGrpPFPiR8iihjyUoRYhCqedVg0QQ1krXDGoNRUihJFKOwEIyRzv1s1mCME1lKQQxVGkkxcLW5IdoKbWsqrSBH+r6ThSUGwrAReg+aEEe0rsA0ZRqNqJQlIm/sMfUKVR+gqznGVCiVGVOk39yQ40BdWUy9ICsL0WJUoKlrrBMGRs4ZFQO6X2NcT9JGjCzJaFeTa7n2+CgdfC2ATfQ9+I6oNL7d4KoGV6+oZwcoV8kGSRsBGWJE2Ya6qol9SxxFQtK1N4R+SyJimgOquUzCKQgbww8Dvruja29QuibjUZsrVIyk/o6UeiDh21ZkPM4xjj2HB2csDw7ZjiNd3+J0TVaZofP85rsrfvT+J7z/sGL8k3/MF599TTeOjD6wHQLx4JCZzrjUk6InZWjblnXbc/L4DF05fvurz7m4vGa2qFkuFmzXHbfblsO64ef/+n/h/Q8/4MWXX1LN5vj1GuVqPnr/KavlIU3KDC/e8PVffs5/9z/9Of/zZ9+AE7p+4W6ijcQ4ESku0JqYfKGqqt0G+618ZCNdJKV1yTQO2CwFzzbK0LJ5JG3uyBZOFjXXt9c8+f47PDg9Aw8hGYZt5Ks3Nyzef8jTh4/EKwSI0ZN8wHee69dXfPv1d3x7e0l1OuPk7JjJJtAaAR3csuHTH37MTDt835G1ot9u6O46Xr14w1ZHjj855f2jAxZphveB2+dX/PrbrxiryJPvP+Knn36CjQqVMiGICU/OkTRmLr675svn36CODT/4gw+pB83rX13wyQcLHq8OsSERoizi/d0dt33E55FowS4MH508pPGWq+e3zB8ccvD6QGiFy4qD+YxuHKlry3DTcbHZcvDkmIODBdXyDFJNypHB/77Q/7t8rc4e7kEuNVH0J0q1dBhj2dArkA31Trc7FdZSfon5vS6dfWF6pODxoxewUSmsq2Vzr/au+JPhnmh1FcN2w/b2hrFrBQQwBrKY2+aU0Mnsip5sgJQR6V2a6tlSIBX9MTBFjsVSVMXi4ZNKgRVD2F0HYNfRVMWQbaJT70zJpo5nOf77evpMKUCnbjC7umryL9sDBuwOeM9FUPcBgD3gvzf7kyJKa001a9BzXfZKTujwU88vZwHmJjnG5KJ+73N25ny65LDv5AhTQZgLJbz43ey609N1Zd+1T2IEF/xA9AMpiJlaymnnDyDgweTrUGPrOVWzxNZzTCUyxMkgkAKG7DToae/yP+nlYwy7GEaF3G+l7rE/ytWf/BSmr4WxMN0YCvW7dLaN2Rf491qqO7r/vh2IopgKhliudS7eAuntoj1PF4u91v/fyRqYCoup66/Lg2VLE76YB4YS83cv8m96JtXEvMjTMad7RdS+U8w9YExOuFztwubIxSxv8iEoV7I8HwqFQRtVwKTpWVNlXAnbhFHklNnoUuSqYty5owmIybb3EuM8dMShhTCiSuqCUoU9lrwwcrXGVRI/nnefKUa6YwpsRo9tDnjng3f5p3/yj3n55opvn78ucgQBcKq6Yuglrs2PAR/FF2K1XBJj5OX1lVDyM+SC6uWYQCmcsxysVoQMm63MUVXT8ODhGcYYyXS/vuHbb17w3/+Lv+QvP3vBZHQ9SUwK+enevCF1wFuvPRYof9QEQEn+1cSq1uhd7ZCylijjGKmdRP8eHR1wcnJK1SyIOXN3e8fLl684PnvE4clpiSgUebjKmXHouLu+5Ovf/or25pKzk2POTo4wWhWwCnwYWSzmvP/eexgtiSoheWKQhujV+Wv6ruPg5IzV0WmpBxMvX13yy199ToiZjz/+kCePH+BsgZsmiUyKIo24POfrLz5HacujR4+JOJYHhxydHHN0MIMUhDnge4btHUPbkkIGXTNfrHAnM5ElD5E/GOHyeo0PicPVXBjFE+jmR6IfWR0esDg4RGkj015hyPxNr98dr1eJ7sQoJbnUKhERB0hVif6mdhVG1eQ0inutHxnbHh8GuqGn1pZxc0c/dKShpcAfgo7OFlSzFfZgRaUsi/lsV7CiNc5VVLYhJ2i3d7xZvyalyHI542D5EUZrnNYka8guYbWm0Yqmbqh0JYjZ2KMzUNUsiRgkXqebtM/B433g7vYC5T2mqqCqyXUt1G8/4NfXtFevSGlE24ZxDaaqycYxdjfkHMXHwNSgHYbIsNkQQ4exjqw0zs4wBwdUy0OaqoGmQWEY64VMmsaJvnqU6IuqrgkVzLQR2UQz0XgiIUFeiD9BToGqmuPDCDmSbYU9aGDoqao5xjrGcaATegCz+aHcLx1xxbTIKYWJgRg949AyjApduoUxJtI4sNnegjGEDGO3oTKG5MXUzQ89WIepFmQ02jlyUMznKzHs8mviOODHLWls5bijJyWJS1SCCMh8YTIpjvjNLbmRXPW0uaGuK6pqQV0tcM4JIGAqYpLiwlWO5GHdbgmqUBJ9EKChapgpQ1NVexOd0iXR0eAjDFGQwRA9VjvR7SsBXCqlqKxmGDp08atQymBQ1FphlHQQJI7DU9W1jNl+zRgGwTZTQKeEdg368AEmRDRCQ7baslodkdCEnNHNipSECWFSIvhenp0wyMxpK4yZo1yFcTPZgBhhBkQl6KLd6eENUFHZSlzZUxAkPXrR3peuRju0xNstylW42RHGODIJqwK59+Shx/sebTRZyaIj0W41JhtyyozJY4zBEMgho6wkNBhjiL5j6O4knUcneqMxh0+wxxriiNWa3Hco39IYSyahl0u2tWNs72Tz7QeSL5nytobsSOOdGFMMHc6Ixv1mu2a+OmBxdAwhkpIiJGjmS5aHJwQPkcCitvyT//DfQ//zf8Nvfvs1vh9Zzg9JR2cMm3PM3WuSDkSlWR4f8tFH79F4+OxuTXCKmZ6xve44v7vj8NEprllwulzRb7cko5jZCu9rnn38Pf6DP/4po9dcdgNf/uoL/uJXn/MvPvuGzein/qTU+i5Lx68siDkVTS6l4weFvizsEhWT0CNNxlUaEjSVpjZiQuXmM6q5YT6rcQRevbzhrus4fLji4XtPODk9w+oaP6zZXt3y+ZcX3FnDTz/9mCPXoKNkRnfbLV2/5c3XL/n27hJ3VvPHP/sjZl7zi//mF6TRi8woZYZxwC1mnCwPUEHyardtx+3NDZdX12zNwCc/+SEPD85IbeL28g7iyKvvXnE+bjj98JQffvp95mpG8JKOMQ6BFDJD13L+4pI37RUPf/qQB0cn1NHS3QxEZTlazmgijNsNxMDQbnj51XO+Wb9h9WjFh5/8kEenz2AYGbsN7sEh/+n/+Z/xs8//iP/y//L/wGVDigpXVYzrLYtFRT2b0RyvOJjPMaam20a0TcTx94X+3+XLNTPxG1cC1ItDvt13mbUmFoczhWyGhRYcZEMZCuV79IRhkLjdoXTwAG1LrFf54ypXkoFqARTyPn89hZGx7ySRRWua5Uq6+NYVt+1S1Gg51n3BVYqYqSi+R78OwTOOPX7s8eNA8EG6v6Xzu2MVTAyDqSCb3nsq+JUuX79dgFMKV6U11la4ZkZdz6nnTYmY27OF9o3aQtcuBf+ueJo6sGpXE+4KtF03v5wbhbY9mR2/5bxfflOX7jOosmkNIhcs2ncmQKIU95OOfWckVwpR0WOXYlprrKuoqkaABQoYFEbi2BPHvjiCi3kuaYpJ3Hfnd11qZfDdBu/W6Ep8gGzdSL78PeO53X2erl65lqncJ2PtDqTVek/Lnc5tKvC1TvfugZ4urhTEU5db7QGX+19NX+apGS63kR0QMTEkJr381OW+d28nRslkdjkVepOEZAJWFJCV2oHNykxMlgKuTQYLk6HfJKuYADj0/vCmTvvk7J7S7j7I870fMnk6m3L8+/tVJAflmChjDoofwiS/KOecQpBmTpI11VS1XFc9STdMOfdM8l7SkvqOOHZk36Oj+BcJcFDYJTmRQpEmZMDYEo1XFWZASbmKgTHEIqmwPHvvKf/sn/1H/Jf/1f+bly/f7IC3qhLDt3EcQY24yjGrHd/74D1u77ZcXK9ZdyNDSFRVxcGsoep6UJpmVqMUu3QeheKDD97l+x9/QM6ervO8fPmSz774hv/ll5/RB8hKro0qQOB+RE8g0vRc3DPEZBp28nuTsbdRWQzRVcIpoe+rYitKznRtJ8Z3ywMOjw44PjulWqxIStFt1py/fs0YIh+9+z71bL4buzEENu2WNy+fc/n6BY2BH/7oU+azGZ99+VwYDUygY+Lw6IDFYkZOCR9GxnFgc3fL3fUlWsGTd97h4PgBWVuGrmOzvuWLL7+hbQfee/cpH3/wDnXlds9yjBE/jELVP3/D3c01JydnnJ6dkbLiej3gqpoHJwcYokRIpsi4vWV9c4UfRppmyerglGZxANoSImin+PFP/gDn5vzLf/GneD+SYoIs0rNY5E7zxYqqmljDiKztf22hv7l6DUqXbl2DbioWzRyjLdHDGEaubq/IfkRFzxgDKSR05SSoLsnNCNs7QXGUxlQNdjanni+ZzZbgKrJSVMZSWctsNkcrS7vZsv7uBdvNlehuydjZEtfMQYlxXp4tmR2sMM2CphIHeZUzlXEoFCZHxpgZ2xtyFFd8cUqvpIs3bElhIASPijJMfXsLyqAqR8iZrlvjO6HnTBOD0pLvrqwFJx23cYScvTia+1Yo4GSCqTH1HJo559s1qt2ibYWtK2rbYKs51tbEsSWNHQpNDAMZiEoxRI9zM1QWxoSrZlL4B01Whli0Oj4MOAxWW9EbaUejFMMwYKzEjtS2wWjHpr0jkrFGuvZdzBBHtA8QRI/tSwctpgQpQBjkwTZGIlbIGCNgh50fMVudMJ8vC3XL4YeOoV3jY4CxJXgBetLYSpzKzvAmk7OHPJaJvlDDDfjtGjX0aNfgc8YHwzBINJ+pGsgjylrykDCdwmqNtQ6dRXOul3OstmUzJLF/cfSkYoYhBhp+1/mp54dU1kkHIo7iCo4UMN4Lg8Mai8oJqx1KiSlUTAmjMrOmIag5pixf2jlm+hBnDKnb0G+uyaHHZ4TFEnrIiSHnkhJQIUZsmpwDYbcCTnRr0fLreo6bHaGMo6rlefS+l1QE16D9SF8kJmiNsRXOVcQQCFkR2xaVk0TAGIkcybYirR5KUkCCnDymNEl8FuMQ1cwE0MqZurjLhnEgVgmyxrmaUObwGD3jOO66FgmFzrLxNtZhSWg8eRgZ2lsG30qqgMqCUirRpMuCP5JDQCmDtrOyyCty7NGzBclbCCNhe4vSW3Q9oxsHtI8cHj8kOUvIhuQHZjkwdIm7lBlQ/Mk//QccVDO++PI5IXrSzTnvv/eUo4Nj0lnF5k78JJwx0A38iz/9c0Y/EkPi9cUVry6uOHv6iGfP3mNzfYuOmcEH6qbB9yPHx8f8x//sT/ijT3/AarZkc33D7ME7LJ7f8vLqTwlTNJaSwj3EhHMOdBKwZEKvJypvWVB316DoRJVS1NaIYak1EAaMjjw8O8aNA45IrRyv1h3rceTJicTO1cowXq8Zh4G7tef17YB+8IAHR0eoENjcbenubri9uebi5opORz742Ye8e/oO4+2GvttyfnHLJniJBFQaU1nOHhyjx8R6fc3m/IKNb2lT4OTjB3zv6Ijj5UNcMmy6O4bgGTcbrto1q9MFZ08e8OTsAU6bYlLT0a3vuHjxhjH3uOM57zw94/GDp9Ss2FzfMAwd9cLRVBX9tmNotwzbTp7veeLjpw84PT2hcgoXI37MjENG1Y5Fpfnk46fc/JP/gF998RmjH6kXNatFRWgT2ToOZjXWzVG5IviR5D1ijvL719/Vq2u30q2uarSrdlTvqbsSiy9OGD0pjMUBvRh2lU5vDKE4THvIorG3zYxmtaJZLKhmDUqJ4ZopXfHoB8bNQL/dMnZbxraVXGhtsJXDNXOq+RxXN5hqMpHbMwGAHVU7ZaEIT3ThqUPvx4FxkGioFH0BH/ba9J3r/70u9v7rfdd2V+xPf7/fBc37/ymtsW1NX8+paok5NrbaU/+nLnVmRydX9/47vXe+V9fe76S+RbfP5d9I5KiEbl7Ah/uSBjEcg+wDYRzotxtC34k8dKKKT/r4CZDYHYpGW4tzFXXTlAQE2d7mEs0agyeMQ+ni92Q/loZDhBzL/iPtiknFxJ7SpYspIIsubIvge4mQLSkOEp1XWBV6AgikaDTaIAar94vy/T3dn8+91v1bP8vu3wp8s2MSvI0t3GNf7CgA5b1Kx1cABQGMtRKDtaQzung+TGbWE1AzadmlgZ+Lv15hVShTzt/sQK7JuPA+uLUbT2oCAFTp/hcQKks3v1T60jGevk65nOMOQtoXlfne7yJjVe0+b38Zdnp87vkDFObMPsrx3jobogBuPpDDIE2t4rmlynjRRLkeE+0g7wGiyeQw0uOLB5OZiyHxzoUhi0FsjBGxeFD84Iff5/XrC/6f/+X/i5AyxhqevfMMSGzWW4Z+xGjFfFYz+Mjn37wU475NyzB6nLOsVgsqJ9GDXT/Sth39IH5kHzx9xH/xn/+f+OmPP6SpFSoGZrWjG0bOr9ckXLldBUDMeecTApMhn2bySdgjSfvnX+UsscsqY3Wm1plGJ2qtcVoK/0nfvu22BO958vgBZw/PqOcNKUW26zVvXr7k4vyCxcEJp48eo7XF+4Gu3XB9ec71xQVWwzvPnvLgwSlN5djc3nJ+cUUIaXd8WisOVksxL/cD7WbN7c0VQ99zeHjAg4cPWRwcgjL0w8jt7S13txuUMhwcrHj32WNOj1fC1sjgR8/d7TWX5+ds1nfUleOd997j4OAQQ6LrRvpuRKGY15JIFvLIsL2lu7tCkVktlzSLQ1yJ9k5J4thRBlvP+dEf/oRqNuPn/+pfsVlvWSwfUteznSymms1knhFhMDEJUPw3vX5noW/qhtXygHpWo6qaHDMGzWZzy9XL56SxJQRPRrKyrbFU85Xkl2eLNhV2JrEkuq6pqhmr1QHaOpwqhitklJYJsN9uGftr+n7N5c2VqK3TQL2csTw8ItuKHKWLOF8eELCC4KVcskmLdiJkuu210INTYhx6bF0RUuJ2fUEae/ABRSCNI2mQIla7StK8gLSdEF6ZzLJbiBYwR9Edm2KwQVlrgxhk4EcxBGoWGCeZ98a63YTTWIdxjpAySmf8uCUOHcrWVPVC3qOZEZSmsZa6acQkMARyjnQxSvdMS1d8HHrxBIh+R63S1QxnDH3waGOLO6mnGwZ0NWKcwqkG323phg2xb/HtDXEUnQ9lEcgFnEGVidtWkA12dYqbH1C5GbWtcMaQYyBub/HB41Nm8CPJ9+Q0ELsteRxICqbQ0il1QSZ8J/4PCGKdtUW5BmVrMA3ZOFKhuCstXWo19oBCRwFesha6vir0qZl2GCUFqx9HAWaclXMjoZXBD73knzczqkrAmzwOdH1LMkJFm7oqrlmgnJbsXK2pnIWkJG85QfAjOvQyE5TFTJVoxXYY6ApQopKX5UqDsoYUQeWi14++bJAiVI2wJJRGxSzxe5riNn+AdTXOCvMip0TAEJVB54xpGuqmJge/M4/SyZONuMOPKAGi/EAMvSzYwYuOapClN2dPxpJ1hTKKrMRQhbGT5AcilTEs6jndODAOLcHfksJISqFoxyux0EwRpwzJt/K+2hCUIcaBHBJKFaOsag4iKAC3EDR27FFedikpDJA2YmSiJJ5SVw67PCKOA8kPYmwUI9Bzc33OmAIHx2eoOJBj5KbvWbcdY6958OwTmho+fu+GJ2envL6+4ac/fsb/4X/7Y65envPFF18T2g05aEzKvHl1SVCZeVOzXnd89d1rmlXD8ckZ7cU1OMsYBlZHh7Rf3zKOA//JP/vH/Of/xz9Bp5qx62iahl47Pv/Vl2zjtCnTxSxMkHCJzpGOVLEBIoVYmjJl8170XLZyGGeonEWDABI+UZOoFFS7mC1NNwYuNx1hVvHRjz5iRUPYttxdXHB5fceXLy95ucm8+4Pv4VJm2G64urjgzcVrejty8vFDfvru+8zNHD1qYOTNy+/47LdfMETpilolqPPJYoFvtwzDyO1wR1xo3nv3XR6ePIEhoXxmGFra2zV3N7cMtLzzkydcDFvOHj5g6eaMvafftPiu5ebqiqEZmZ/OefDgCUuzLHvzROoTd+d3GO1pXEPoR7a3G0IeqF3HO+/OWVQzqvkx/agZ7q4ZO8226zGVI6ZAbTJ//E//gFxXfP3dt8zPZuQQsc6hjWJ1sCAnRwhioLPptlh9b5fz+9f/318ZsM5RzWZSxMWI7zvCOOKHgeBHfAh7PSP3ii2lMdZgbYVZSIFuiwHc1Jnd1bY5Q4jiwN91xL5jbFvC0KFyxjjLbLWims+pmn1X106dXa1KTSKdnxgiMSeJ3CoNh1iMsULwhKHHDyIxi1G8fEqNXYqd/FahvwPJ866vWQo5LYXR/a7mpC+eNNtF1zoVkGHsid4zdB3aOqyrsVUj7AQ9RQXudfmTyZ2eeP1MBX2hrHNPA72rWdUelFBSBGWddwZvGWFb+G5k6HoB6bpW6PRBGkZvRePpSeNtSma5RBvaqsI5J35HWTKv4+iF7joK5TUFkWjk5N8yf5O3z38NHKH8fc+UyGrS3KdisCxArM4ZkxM5GbJJpdjP96Qj+1Z0IsuejLy7dtN1nK7dbhBQ7uU9Fsj0HbUr+mHfyN+nHZDv3Zt4z8gw3su0z3Isckz3kKByPQRI2TNm1OS6X3wolLZY50T2aezuPKdjvi+/kLdVxTOhFJA5yM9NmurJqGxiDZTzE7+aPQiyA5jylBhQrqnKu+Pm3nXNO8nGJFMo9313bNN1V7v7Qi66cWOkG+9cSXuI5OilAZbidKFRRHbRmHoCTBJx6EhrMEESnnQ9B5XJMeK9SCd0BqUN9czwyacf89/+t/8dYzvw3vvv8E/+6b/Pmzev+fWvfluAwcjV7Zq+9/gY6UdPP3hhMBHZtgOxyVhTil1tGEIPWvHHP/sx/+gf/ASNx5oyyajMl89f04VcmEsyv2hKQb5jDClIandXCreEfWwhTEkgwpDR6Cx+R05BpRMGhVUaU+7Tth2wzvLk2ROaxYKcAlevX/L65Qtub9bcbHuePfkAWzcM48Dt7RWvXzzHdy1PHj/iwdkpi9kMoyEMHTdXV7x4+VpS0JQqj41huZgRxp5u7Li7uSKTefrsGUcnp9R1hTGWGBPruzUXF5cslge8/9473NxtODoSSWmMgdB5Lt684fL8NVprzs5OODk9paobOX8/EkKk7Ue5gjkxtC0hbwndLbPK0MznGDsr9VQm+IFxTHifcfUcbRPGOT7+9AdsN2s+/6tfYozBNTNyiljraJrZzmBWinxhQP1Nr99Z6J8+fkZlpMN3c31F2PZErQnZo+ZzlDWYOGKMotILdDUjao12ohuNg6epDzlaraCaYUwDRJKXxcyPAzmNWFOTVMY1DkyNmlU8Xi4JsTgh2wpJf9cEZVnWNSFk8tiDykRrSKGXjWW/5er1l8TuFqUddrZEk2iHnhC90EjqObFZkoBoBqhqlJaOX05RuodaUDipDGNBQxPKut2mnFjMnkKANKK0xVRz0JWY+NxdQRjwWjS4ShlG16DcDFU1VEH0zLZqxGgseUw9Y1ZXaCy2LLKh6M9RWrq0M4fCYIwiHh7SjZ5KS0kQxhEViyOtUjLgjUEZx6yuiXEk9QM37QX9sCZ2a3J7C9GLaYi2orHWldwLhSDVhbZSNwspHlMk9i132+/waZRrZCpQQrtmbIUel0pMnGuk+Mt5N0nnVJIUSsda0HNXFnEHthEjPmvJ2Zf84cDY9YKQG03yI9oEKtdgXYMyoikeUkCPEKJnHAXNt4Ogphm9uz62ntGPI/3Yi76+bPYqN2MMnqygWR5itRE6fRoIg2ezEcROV0tCiIzjpjAkNMG3glMrJSY2YRAA1C2KEZNFG3Hd92NPygHjatkwGlsQUekmJR/ILpeitqGpHLUy+DAytCNju4FCdUdZlIYqjfSt+E0oJ5rpnDU5KzEBCR1Jp0KB8phCt4uIZkopV3JqKxRbrNbE6OnDiAodJI+2SmI9siUq6cygLdFI5mhut9IZiz05COAGCDNAyYZAuwZdy3OIcexkh9pQ1xUxDKTa4JUjqISuLDmKCV2KIz50WC9F/W4zXxadmOVz+iFTb7csl0vGIEU6KeEWC/ohEAeYn7zHH/zsZ8y+/Jz/4O99ylEFq+894vDJEYd/dchnf/Frzq9uiAYWiwV+O/Ly5Tk+eB4eP0VhuYsdB8s5//Cf/m9I25b/6osvud1s+OKzL3n59decnTxkdXqKi5Hn33zDZ1+/kDmvdgJUJQG9cgyIckk20kpP1FlTtMd52i+jckTFjHbCfgh+pA/yvJ0uFTZn2vWW5dwRVabzkTZ4nnz4Hh+vjhnevGZzc8vzr7/m5eaWNlu8FzC161ru1nfcbO+wjw/4wdOnnM6WGK/I3uN9Yv3mmi9+8zXfXr3BqkwEfE6kmLnZrLm+vSGnyPH7T3jy+BGNqtFBM4aA9y3DduDNi3Ou1IYHjw/hVjHTS548eAA+st5KhN+b8xccv3PIe4ennB6e4bIljRBipr1rub284cXlFV0cmY8dmz4x5p6js4bHdc3x0QFx0ORtC0HTjpHWV6Rlw+nZQ/xtyzhs0cs5P/p7P+LXv/6Sm+0df/Duh9x+e4duLM5qQsm7TTkLCJF+T93/u3zNDw5xdQ1a1jnfdYRhuOe+ngtFViZxXZzQtdZC8zcW44Tub4y9F/0lGvFp/lFa4ZyTxkVVwWJBPrkHHhT38qnw1RNNmKKt9+IAPXYtQ9eJG38p4ieK9r6wyG8VIhMddipUpvpzR4l/i49dOu9TfTZ1HTJS8GQkcSzfKwpLwQYwUdKVtmgniT+qmLbJWmQwqnSo1Z7CPRWjU9b7ZHYnW/+ipdblmLUch9l1qSdAX9b/yfHa96XAb7fEvmei0IMSt/OqFtDNOuykj58kETnvpA8CEIRdMTelFeVYzPZy3Bd4SpeGspijTdd05+Y+Ub8LhVtrK2uinlIBzE4iQZbCLQNp6rRP3eeU9t1tduUzu6J19428+/9b39nRIu6Ni2kY7LTS+d6PF1p+etv4L+2M6PZHcP+cxY+ijOmJlWL2IMdu7Ez/32nO9f64dhp+8TpgN7YnjX8plEtRL4aQsejsy8I2Hd0OwbjPUJgWv1Le38daFWV/tS/UhQESYfeZafescX9MTs2ZktyhdgDNZOyowYApaQJyvIV1UM5DleI/ZwEAdmMuRVLfEsNA6Daoeo6pG6wxhKK3n0ACoxVPnjzkhz/6PucX1/zJn/wjvv/xMx4+WHJ6uOD5ty/5zW+/ZrvtpZBFFeZSMaMs3hYZhfv/sfcfP7ZlaZYn9tvqiHuvyaefq9ARGSJFZVZWd1Z1NxoNskAQIEENcECCU/4vHHDEf4DoAcluEF1kNcAJu8BqUZ2ZlVkpQnuEe7j7U/ZMXXXEVhx8+5x7n2dlDAqJHMUBzJ+5mV21zz777LW+9a1VOf7o3/9HnJ2f8X/9T//vrNdbrq6u+OyzT3lw1rJaOHJMfPbqmp99diX79zI/1TTOvEMdzW0aWU2c2EG1dDC3BK+l1qyVpkKDyWKkmmX9rCrHEDL7bsejBxecnZ8SU+L2zRWvPvsV49Az+JHb9ZbVds92t2P0UklfrlY8//rXpEovu3my9wz7PZ999jlvb9YEuewlnjBntNGMY0+MkbOLS87OzmhXK4yV85lyYhhH3ry5ImaFcxWqD6yWLWdnJyQSm8092+2Wvu95+t77nJ6diYK4XP/SipHY7Ad2+x5yFJ+nkGldZnm6wrmiDkKV9ciTcsKPkZRlnckp4seBqm747g++R7e7ZwxCzIwJjHPUTVsEL0IYx+D/3Sv6tavY7fbc393g/R7lE6kYhqmcsabBupaUI1FpYvYsTMOiXWJMRWjE5GLfjajtgEZha02qapIxNG2LVWdl8cyo6MkhlMgoTW0Srq5kAgVN5RxhHHlzf0v0HSZlqqqmv92wX98y3L8R0xqtZbEJO0K3KdXJTCISUiZuFKpq0K6hdieY5RnRGsb1W0heTM2cI2cl/bBhgOhx7RnYWvqocpTIPZVEkZAdqqrkBPpebujGFudTJW5YGHTdYuqW6uScqj3hrDmhrgRsDvstsdtz+/YVeRyoVycEbYkx4P0oN9yccNaAstR1jbOORlnG6On9KFnmVYsylsZVoIXdJkRitxVJfpCoP60d0dWo9kxAkluQcqRqaukN9iNKycQyriXniN/dCQDzQfolo0eYKyB00iuSorCv2olpTEqQR5TY6aOjLJ7YGijxI0ajXSMgEHHjVFpMQTKQXUOIXjZY1EI+jz1aaWzToqwl+RGHIpQNhDFSHSVFVOjI1jAGMedxVU1VNYD0rTftkkXxZRi7PdkPOAXJSDtHFwTY+5iICnEMzoYqRqLvGPc3jONImjb/RlQcBk3SVvrZdY9WNaakAihX0a7OkXuIpmparHWkVAxmUmR0AaMMWmeskraJvfeELJEwYygky7BH54APA9sopn85BZFJOiebEi/KjkwgkzGuQZmakBNpHOdbvzDnRvpbgyckud6T8nIvrVowlmgXUPodiaNoNOIoLsbRoyg3e4AiW6QYC4r5foJhD9qgwgjKyNwKPYEk5jWmQTenNMuHuKoh60rSE3xHih1OJxqXsQbW92uG9Y0w0kqMntK45f7tHdtbxWJxyv32fa6dEBNGadqTFZVS/C//Z/9T7nZrThbw9OIERyLuOqrlW354tyOkxNn5Of125IvXN2z7AeMMl5cPub+/E3BgDX/w3d9md/WWfx5GYvT8+Kef8c//y/8f/9EffINvfeubEAwf/+gnvNxusbUomlL0hJhkI1k2TrKBCKVfH/ScAZIQwyExYPFFxcBCbsdjGLE2Y5YNOgYsEW0qDOA3HckaHl6uGO7u2L+94vr6Ldf0fPvf+w5Xf33LF69vGTqpEOzDwIOvvs/jy0taU5N7z9CLoiJ2nq7vuF7fs09B4geBcRipbENbN5w8POfkdMlZc8LKtGQfGceB0I9sd3v2t3s+/eULTn5wjt5r/vRPfsr+BFbLEqV4t2Y0ng+/8yGPzh9CgCo3EANx7BmHkZAGNvcbbtZb1KlhjBF1WvHR0yc80Bnne9R2FJ+MmEk+gpXq09n5JbVuyDaCc0SduXx4yn/0P/wPub77nPWbe7zTrNySpl1ijWV930P2OKvZ98Ovu33+5vi7PjIM+x3ee6L3s5R2SqVXeqpimyNwVpz5J+AymTHlUMCctLWZY2PLUpEvWQ8FKZtSvZJlLEXZyDOWuL8URW7edfTdjrHbiw/AKAA/l3iv4wquABapkBpr0c6i7VRFz0LM5iymtkkDCWX0TPRNIOgdifnRIeTFUdU4i/maUlLtMtaUDPAlzXKFcXWp+IsvSPJRSNuUD73w71TWJ7JDxtfMsn89t2yVv0QUCvLYyXcghCC9+EE2u8Y56tWK1DTMTvbqqPdbT7ZeEEqBJU8JBFOFuoArSjV1Asn56Ht5OwWkzqTHBO4n8kOVf/UhOUEdDE+VOpKnl+bxmYgpng85a/EjmkDnPI8n5iUfXvt4ms8EUJn0x+eQqUJdfjWRJsdu8inOFfzZy2E61MEEcPrSpe3BWjEVNk4qnMdKhCmV4ZD2cPheFBfFJyGE8lWSDGKUf7P8W/oCSwU8TWxFwfQFPU5GfdPYzr+bGasjsC+PnoczTdX5DJNEf7r+SvX9HZm+krvrQS2QDl4NSZNVKGsBaG0xdYUtqWNTJZsS20f0kArYD57kB1IYiJOKpHhOEIKoS6qaYRjlnGWJx7XGcHlxzv/+f/e/Zhx6Hj2+ROnEyarGvv+Y3XYn711rKEZw4zgSQihxcVp8tXKmchXvP3/CMHrGvif4wA9/9DH/7J//f/n973+F85OacUz86V/+jJtNwBg7FxxmkmVeq8oVU8idnI/aR6Z5Ou1QkiScaQVGaYLSxWuI2XdBa03XbRmHgaePH0AY+eVPf8V+fcdqUfPgwSXhxSv68ZrdbstmfY9zjqePH3N+ekJbV7J3CiMheny/5/bmhl/96gt2/UjMk7XxVBwRQ9DF8pTV6oSqlhariVgKIfLi5StevHzN5eVDNtsdL168JqbIarkgp8h2t0UpeP/DD2hLm7JMjkSK4vW26waub9dc397hx57WLDlpHG2t0SrNvGyMEFOU1C2lsdZiqiWurklJFLcpWdrVku/93u/y+Se/EFNx74W4dk7uK6koAoaB+O/ao//ZLz4WKWxOkmGuJU88djtUjOjGEbLC2AqUw1aSSb/b7/D7a7z32NrSrBZo12KbJU27wpbqXQ4jIUMMA9roIrnNOFfjbI21Mpnv7q6Fsb0biIOY/gXfE/qdAJGhIxtFjOPcsyM3dUfWEVn3k0jbVCQSwe/F9V1tMfsbVLPEupZQS1Re9h5IssC7FqoFyVhUCuL2qhymctKnryzVosUoGHzPOMrf6LIQGVuBVljjqOqWpl0ICeg9u+6K9binH8U8AmvBWqLV+DAW+ZehbmqUawixTF+lGBKs93uRdRiHXZxQUW7uZEzO9PsdYxjxQ0fOAaUyMSus0ywWpxj7jBwkn3gcB8ZhV27qgZA8RjtSPxL6HTllUQhojbU1OgZS6oXBVFrkTQZ0CtKHH/1801VaSSRcVuSpklJK+1KZVGhGsomgJFYvRy+99qrCpEzWrtzwxS000lC1LVXVMCZxMR37iCIw9gMk8QLIviflJJmTtqaplhL5061BZdLQYYD7UbJGMZXEoSgtRIOSfNmqXQjoLn3jPuzZ7HrS0BOVQtuanIT00EYurRgHYchtRVZOHG6tPK9TirptpQ5ijJy3fg9JSB2PLI5iEgidl57j1O/IaSQE6TFUIRDjIJezSujiFI2TdgAdMtoqUu2IwaBTBJWIWaNikSc7S0qZEAIxdNJ7Z1xZKpNIFpPIyXPwxBBkrmmDMoqQlHhDIBsjjEbFgLJN6ekSJYy2TQGxI2ncE/utVHum6otWkmLQnmGbFWb1mHZ1yWzIFBMq9xgDY4gwdKAMzWJF+/QJ60XL9uZG+nRTAL8nE9F1S4gCEJ48fSIyy5y5ubtl0bScn51xdnqGTQNxu2W9uebtJ1/w3/7xn/Px6yvakxXtsiLpzBA8KMXDJ8+4e32Fdo7q9AHdruef/ef/OeN6w/XdWm42dskf/+QWk3+EWy65++WGf/6nPyG2DSpFVPRzRJhCKok5i6N0SKGw/SVKSk0Re4ZccqCVNaSc6TZrdiFgbcXlaUsKIyZnKisbuaZZsHl9RSDTVo7+fk2/XjOeLvju177F8/qET9bX+BDYjT2p0nz1/W9z1ixwORGGkb7fy3UzjGze3PHJzz/nl5++RCmDMYkQA10/ok8aVCUkyKmtsWT80EGCEEaGbk+/3fHyxQ1v8o4PVu/xxZ+95M3ujqZtST5xe3OLOzd89Ow5JlkqZUk6EMYRQ8YPnv1mw3az58WLa9ZDx2V9zuXTS7727BmnfYfrbsn9SKgtBLmOBm8ZTMXmbWCzv4L3LCfLc4axo6lqxv3A8/ef4Pye6K+J68BiYUXKPQb6biQyEkZxaP/N8fd3bO7uijt6yRmem0cLyCoVrslwTql3XecPEWMGXWT8tiqGfpMsmUOlU+kCK1PBAwVMpBDwQ8+476T9K3hJCBl7/CA99imWyvFcqVSirINSdRdlW2l/F3I3JqkGa3V4E9M3Wgw7D2RscQ4voPoAUg/u+plSsD6q9Mrn0pgpNm5yv8+ZsdsJcI6TtHmq/E7pBccEyjS2pVebow2/ymUPNlV8D1X8Q6/9AfAZI/40qm5AHwwBU0rSEui9qOaGUX5WwO/EvOgZMx+Zsk33rZzn8Z4I0nlcdRnHWelQjAK1nQmMyUBuAv167j8vld5Z2q/eBZ8T0CxV7lSqy9OcYDov6gjoHxeuOVTeOZpD+ej3098ewP5xRT3PfMI7JoFFLTZFt8o1IfJ7W1XSmmiEbMrlfjulMhz+jfO/syP/BO4LqE5pmv9xJlhUgV4qT3TNu9eAVM+Z5/c0rnkelHz43DLLoYB8RakyH48jQo6VJ5TxK2POXJWezAKLQiAdXbfluWaVihPgq7WZiZDJlX422FSyH5I1xpKCQ/kexpLiM4+XGCFvtzuysmI2bd3s7XF5eY5CCJIYPeN+x49//HP++z/9IVc3G+GxcsaPcm3E4l2hjcwFayxN2/Ljn37Mzz/+JZvtnhQz+13H5y+uOV9VfP0r7/Hm7T0//NnnZCXF1pwSqIMB32S4+S6pqFFKCjEqKdCZQy+F6FikdSYRVSaZTM5iGjdhvBACm+0e5yrOTxe8ff2Czz75FU+fPOLhk6dSUMvMpqbOWh48uOR0tcKUNt6cZf75YWS33vLii1e8enXF6GOJhhReyRrHcrmkbRsWiwVVVRUCWMiLGCNv3lzzk5/8nJjl/b96+YZf/PIz6rYmpEzIina54uz8lKZtD9demoB7Yhg913cbPnvxmu2248nFkkcXNU0N1pbWk4kcU0BKhDAQ4kjKlqVbFF8YxcHrw3D+4BHBj9y9fcWw3+EWK5SxkhITe7q+ZxjGuS3r33b8etf9R4+kP1gbhqFDhVGqr6tToh9F3lVYcIWiXiwkD5XM6fk5y8USZSpS0gz9gJ0cR5NnSAGQBV4bR/QjYQjk5KmcAmXY7ga2m1tyDmzXN/Trt5JjXS7ebJ1MnDCiAqiSvU6pViYURI/SETXLttTRoiOLZMwR7QdIiHy9VJtztUAZJw6oCrR2hbkLqBjIKLTVKAzRR2KKVJVU9pXWpHHEiPZdjGZSJNzfcnf9hmF/A0kYPu0qyEiFtT2hsie0J+eoJO9zCLKx1UMxN6trtI80wMI6PBmdA3rs2Y0DfuwkFjEExn4nmNoH6QU3Dm0racNIA+MwokIkaiTmTouZnrYVRit0jmAtun2AtjULY/HDSOi3+G5HsnXJHg7kOBSTo6mHMJbNVl1ujLnI7UpPcrmZx+ixOpKxZCq0M6RU8oirGmscYEpPVJIoR+PEH8DKhG+UQleGnDQ+aEyt0PoE4ki0TuRYSqFiYuy2pDSSQ0/s90x7lKQMxrVoJYBLZUUY9igjbr3dZkA7J0REkj6/qCx6eUalHRAlzxyRKGnryEo2F0ZRkisMkYRTUNua1lWyf8zi/jqMPV23gzSgbQUKFstz6ecaxTxyHHdCpqBIwc9eEqhiFKMNqlpgtJYKRxjIKWGqWhZJpHdULgFNQqESKCeGUjFHIQNCL4oNrSEmqd4r8cNQ2jF0HmuM3GCcJWHlhhelIp3sQiSOWiShxEAOe3nuHDHWkPVpUYUUo6Vy0/Y+kk0kbDcM6xsxWlSauq5ERZMiKnuSFpVF14009YK2OSOcVnT7DSnsyRSmO2e6bs/drkdrQ1PXVMbSNzV+GHl79ZbzkxVj9HSbnl0Pf/nmjvXpKd/47e9zf7th8JHPP/+Mbt9hK0fdNNzd3PD8G99DJUfyd2St+Plnn+LL/M1obvvEv/jrO1L6Ibev11wXMEKOxJgl/UBpqqaSDVMhd0YfUQaMVYU80pIwgDoYSka51rwfiSWmM+eKMEJTa6KXZJHc3XO/6YjGQID7+1t8lXnvq+/x3skDdjcdV3d76kpzcr7k4YMHnLgFqetIGnEoT5Fh27Hb7bjebPnk9Wte3d/Izbyw4iElLp5d8v3vfBsTZe9GTuLlEjND13P/dsuL62t2p5nf+fr3OQnwF1c3DKFnuPPcbu5475vfojUVja4xKRCHPRkt1YIx0o093bbn6osbfnV7xcmFZXXW8PzxE5ZeDEC1goiAp5BgH+BuG9hte+7uI91dj22dqMiy4sQ41tstqweXNEpz9XbHy+3A5dkltmnYDxB8YNPvUHnAp/2vu33+5vg7Ptq2JSU3AyY1A4giOzYWZV1x4xfpubUWY45A/iRDnqPsIB5VSGf0lUuxN4sJWwwR70eGvmfY7xl2W3zfizdIKPF3MQKHqr2AR3MA5RwA13GVfT60Lnj0GJxMIPtAYGh1+H6WUStmSb4AvKkvfvpcs+2ZSFVTotuupcoYg8jbyUfPrQqwF7m8oppBiNYlx14LSpPCwsE0LUcBBQfYfSwjj6VPXHrFp3FLKc77AVIkpamBoYAmV2Gc+AGpiQyYctGnnutUeuhTpFgNCSCYq+Ll/B6D/Rn4Taf+3eo685Q4VNanGLdJNaYmdcMRTSTz6ZBFf2glKGD86LznSXUwETFHb28GWDNQP/r3yyqB6c+LyZ0uc0PNAI3y76HfXk/pFcVIMCuJFkvFTyJORpZHBE0qJM3UUy/trkWKn+M8f/OEgqYxmU0iKb30zOSFQvafqjjyYyxTNX+aXzCRBkemfUr8anJh4vLRZ6UUUNLUx6+Y2xcm0C/8kMjwcymsTO1xTM9TwH4KgTD05JTnaMUDuRLRWdQyIsHXKFOjVdn/mIoYB5nvKUvRNEvrpLUVbdOI0bOSOO3tdkMKPU3bAImh79luduSU0CRCzISQ8EFi21LKs1LDOUfTNHgf+dd/8UO++OIloQydj4n1fuDHn1xz9//+V1zf7bjeSjFL2j918Zk6JlTUO9/JZaJmGiUffnp4SMpknWRfWoqv4r8gY9wNI/ebLdZaxlHUDqdnKx48eoh2lqHbcrfeoYzj4aPHXF5ecnpyirMGRSIFmZvjOLLfbnl7dcUXL1/y9nZNiDJPpUCWeHB5ztMnD3HWFD5H2gtTygz9wO3NDZ999gWLpuHiwQNAs9nuWK83LGJks9lweXnC6dkJTVOhtSrXRonNDJ6x69hstrx89Ybtbs/l2ZL3H59w0hoB+Vr8ww7GmwVzhMjQB+7u91y9ueHy0ROWp+dU7fLgYZISzolP236347ReyBoepUVsv92QcqZuFn9z7SrHrzfjCwkVM/VySduuUEpkzlYlUlaEGKlshdGVsLLTAlPcAEmB5BNJJZq6JlH68nPAe5EBjyFinGXf7QtLZujGQBjv6f2IrZxEVaiMaVdYpcU0j4zKGj90hGGHykXeWirHyjXSU5YyBkPOgZRHFFaARZZe1sQkd9DYeoE9OQelcMaCqQi5GLzlTAqyIChVTH3IqNLPr53FoPExkPviWu871NCTk+S8Z9/Nplq5sIK6WaJsJc6eOZJ2dxjf02/XxBCwzhGUJow7ifLIGa0rRt/DsC0Loys33prsGpSr5X0ibuhJl+xHldApkLpeHP5jRKVBbl7GlQpGRVZCZqA1pm6p65bVYoVHE7wnZE9KHmU1JjpxJE3SO43RqKRLrIWZb34TM03KAtSmdV5bTN1ibI3SFclajELM4pQmjh7SIDeJaQ0q0nKt9gRXY4xlCAlSh9YKqx0hJYLfEcdOjJuClzSDLOc6JU8ae7JCfBWUxTULrHZyLsZebmQoUBWmdiglpoFiMij1EqvBFQIrJ8mIda4im5rKVvjRCwgOnuQ7UJmqarDWkDBAZrffolMi5CjtCU6TWEjbgR/oNteifPEjedzKIpazbDTcAnJAElEiGCMxh8ZiNeTYEwbIYZDMV6yca1tJT1YuvY5yMgBNHgZ0kpuSVHfkBp61LbKhWsgLV6G1ZJznLCSZ1jU5KlLsZV6MHTnt5BooUTTJWLSWzaNyC2ibEkGFSN5iAO3A1aQwgh8YgVGDDzvqqgbXYKx4W6ggSo5MQpuadtGgm5Mime3RVqNTJGfN6cOnWG1o6gajFIvVkm6/o68rXr56jb+746S1LJ3jB1/7iPcvL/npL78g7DzX21uCD2Tg/Pyc7f0d7XLB5emS7n7Pdhz5+Bc/Z73bCkPvDJXJuBwJSfMv/+pXWCcRPqYfxO/Ei3tz1S7lZqgzxijCmNCVKQagsgHPukhBSeiyiUo5itqkaTBVhbMVlR6pTaRpKrKRdbrvBta7nnC6ZNuNxKXj4slTHlUtebtl82bNzg+cfeUJf/D73+e0btE5EUn4EOm3e+66LSpmfvQXP2doFCdnK8Z+kBisFItXReC3f/+7fPjwKSbDsN2ic8KPI1evbhhz4u1uzZNvP+GbzTmERHezlWaSlCBmzk5aWm3ETDPKxtEPA0EpUtR06x377ZZf/eIlV9trvv39J+TkefThI06rBj3eofKWhCnJi4n7dWLnNL5pyUbx5OGKLz5TfPz5G8yHmpPTFdvtGrNqiNue9faOxcWK1z/7nLOvPWTsIjGNxBRYrzdcXCiW2v262+dvjr/jY3myAvIMfLSS6KzZ5VwbUCWxY/oqrXOHyiZz9XN2Ok+FcJuqrZNMuUTpTfLYGMIMVDMUcsEgUlQl6j4KBpsrtYcy7QS8Uy7mqgc7a2ACXwJOtLXFaM7OrQfT5z6W6mcowLfsp6fqYgHXOWUxBCtRgymKtDp6qbwqDg7mAhynyqY6VDZzFil49LIIg0SIpVLJLb5GIstlrpQq4zCuKuflAALmSMF3qsIyttPzyDgqlHWoqpbzbEwZDz19UDE6LCRiKn3hUw/45KiujgFxOUEz4J2/SvSflpZBqd5PMn09Fyi0MofzOv1uqgrPZ5oZAM6md/FgpDjNg1wA6Mw8TESDPrw/prnLIeHgnc9y/JkUqHz4PGomifThc07zzEzeFeYdgiiV9xyDJAukqTXiyAjy8P2UajG1RZQKudFlx2fKvDyaY0efR66TskOcVBHazNL9w5hKZB05QHHN5x0jvePxYvankLEsCkONmCfP43+oVOeJLCsm26LGLM9VQPThApOe+FTC5TNioCueTAeViy6tJnJ9SXtDTNLGE1MmZWknPVutqJ3ct511KCVpWCl4rt/cc3NzS87yHp4/f4axLZ98+oIXL67pbu7m/vxpDpiy/1QodvuOnGDRLhj7gZjA2Jo+KF7fDry8eUVWhqQqUh4PrQ3zJMuz+eQ7NpDTsjapYNIRyD9wLPNMFfxU1qjijTAWA0ETIrd39zy+WPDo0QPaZUNMiX3Xset6Ti8v+eo3vs5qtcSW6z4UgN/v1mzvbtne39EPPUqboniWe4NRiUDmd37nu5ydLAFpF/JBDLp3ux273R6F4tmzJ1R1i9KGzXaP955hHFFGs993LBYtVVUJwM55NrQMfmS/27Jbb1lvdsQYeXR5xoOzJWdLJ8SEmopropCJMRFCJoRMwlC3LQ/rc3xRLeX7O9pUolBjEKV1UVNmEBJbadkPIgqzkDKuOr6fvHv8WqCvGjGKMq4uLqsa6xYYIiErnEpoLOTC1JHE8TQlfI44I32whEBIEZ8iftiTU6QbOmIYcUrjNwnfDRAiuqnERb7bQ470RnpTF+0Zvk3S3zJ6wtiJ5Nz3Mg0V4ua/XJFMTRpHYreRyK4oLuAoQ1JGSAFXg3E4Y7DtArdY0VQNKYx0uw1p8KS4RzW1KFNykhQAZdAG+mEn7zGGIgMuPXs5o2yDshajNLFeYJoWo1Qx41FQnOFd5Ri3G9L+dgaPpq7JdkG0ipAkGhCtpM3Bj4V9j6g0OWpqshpJWLARlSMmeXIxWNNW+nMNGVNMIIZxhy6bFbST69FW0leuFbpaoFyNQYid/XZN3N4RfC/KCz85q0vFYV5op43DJP3SRT6WlCg7lJgDaSUbMl21Mp/qhrZtCGNkTKNI/lIiJWkLmTYuRmtc3eKTSKBMziQ/gN8TR49PgbpZkpUqvevSzxxTRCTlNTH2KCK6qrDLC8mB10JIBD9Ii0MMYAyuXWKUw7laFr3gCcOONG5BOTAVrqqwtiJqjSs9O4lEbUR+szpZYbRlN46opqUqWctj32NyhhxJSIwjJOqqRusFvd/jvVTwYzKoaomuarK1EGTTJRtMg1YCvHMMaJUJ3VqIt8Uppl2A0eBrYr8nayfeCVQoXUscn8pkDMH3ZDy6dmTvycoVRYsRQBmTtE5YS8oZo+UrK4Ot21JpA1VZYq6JY0cYOyFYUotpH2HrJbpeSUyI1qSYIYyY1KGIZKNJZkEyFapqsFAM9jTKOmwOnJ+e4uoV+25N8LviyyGO0a5e4WzFWVXR7XfEfofKHTGOmKbm97/5AZVR5BixdYVDo5qGpqo4WS754Q9/xJ/+8Idcv3zJ0O2J2jBqR8yK/X7PMIwYramMpYuBi4cPCMOI1fDg4SVf/8ZX6df3/PG/+u9QChZOUVkPqgackFVRiXFh14v5oalISdzcXWl/IiucrebNFKqQXFqjCljISK+bzshGfAikZFC1J2uHriuCDzir6IaBMUWCT+zXW6qvvM95VZUeYs1nn7/lLmX+4Lvf4NHyDBUymUgaApvbO3zyvHlxxabb8/T3PmLsesKbjkXVkNKNkA8azp6c87u//Vs0MZP9gE8j+/WGfTdwtb9n9eyc3/3t36WJFbvbLUMYMFZTOc2473nw3hNOViustdTGipIlJWKCvh9IAd68uOFmfUN+ZHjv+TPUbsfDRw9oTk/QUWJq0hAYYmC7hZvbO151O6qnFzx4suT55XPCoPnq17+HoebVJ58ydCPWBE6iY1jvqRaGzVVP+/SS5bKmrh05aZ4+PyGljjHcocxvgP7f57FYLEoL2KGyPWOkIqGNHFfLBfhMVP4BNxxAcIyBsbRhhFEMjWI8jrErDymGajNg0ROoOHryCZhNPdDTe0mHqu4khZ5k60zXtNFiEliJe7yt3FyxT1n8AibDLcVkgHUw9ptk1fmYQDhWDRQCYCIlhLiuDuMRxbTty4+XzPRQ+lALIEylDzsKKZtzLHJsZoCmlEZniQ1TypXKXn6HjDgAxziPobJWCBwjY2FcVRRk8pn9MAjwKf2ps5IiHgCgLJRHNUZtJpH3/DpTGsEEhMVjoMj0S3ug0nZuqxJTR8VUwc9H2CbnaaxLxTjlQ4/8RLYwYSN9VCW28u3cenEA6TOQmoiX+TVKVXBWKRzB3SO5uzo+D4XAsFMyVZFDy+fWZTxL7GM6Ms0rbRKyTyzgPQkoFjWFBp1Iyszz+UAcTRfcVB3n6HMfPuv0ixn0F3A+VegnAkqk2lJIZPJgYILaaj4XE96fqR2lUJSscaVKMsWRckIZKQwqUd9lJf3ns8oAMWyclS5lX61KW4cuc8jMahc9twpNVW+x/EjkHIhF5RF9x1KNfPPDD3HKojk8l3MVTd2waBt+/OMf8yd/8m+4vVuTs2YcAl0f2Hcd8QjUppxn09EMjCFgjeMrH75PfD/xr//8L+j7kcXqBOcaUe9myFmV857na3+6/ufzUxQQh3nGTEjpJAN+oF2mZXBCBbmc9mI2rES1GaIkkfghcH17x/MnZyxWLUqJlH6724M1fPO73+Hx0ycYq0kpMo493XbN+vaa3eaeEAK1qzg5O2W5WklxUmuaymFT4uxkwe//7vdRZLwPDEPP2O/Z7/eMPrI6OePs/BzrnCgsYmJ0TpSqKVFXliePH9C2DUpNcZOZmBLee/bbNTdXVwyDx7may/NThsGzaBy1kxYgEaAp4pgYek/XDYxjxLqKdrWgPXlIvTjDWMcwSvxfSpGh36MUjEOPHzqs1ZycSuuALoSYs2Ia68MghcG/5fi1QP+8XhRga4ukB4ySPl2dEtGPjMOase9oqhbbLHCFETNxJPpAUhLdkWJg0+3Z7faY7NFJLuytWG6jliJhDjGBkkqUSpnVcsXoR7r7NXHYMXT36OTRWozvJFewQtklunKSU7tbk4Y9k/QnFYaZ4qiptcG6Br1cULUrateSkqLrd4RxTzaSF18vFwRlGPuOOHSgEtFHVBajM5JM4qQUWZly0wrQdeQobK0yjtxXhGmdU6oY2ynG7ZrkO1mUXIN1DlNJji/By+KWEmm/IftdWdSlDyMbi1aWlLUsykSMFiCWtdxA0tgR/VoWW60LGSFO9wktjvZVg66X2Foc9k1doyKkUfI9UwiEfs8wboEkQNE6jFkKWVLVqJjETI1ijFSYTWUrlG1A5xJJEsviJ4uCdTVaOzTQb/dopWhqjUXTj17OTd0QZY/AqmmJIdAH+UEII2POYGt0taRVCqOkP9yYhr7vUNFirVQCSArlHhR1gMPEAR8ihMnI0FCvLmibJU1lGWPGx0GIKh8JORCtBU6oqmbOHTZKURnpQYdIHgfUxPwLzc6yqhlKP7byAyp6/LBnSLHc6BKmWhJVYe6Voz25JCtD8GPZvBgSCWUGdJAF2rhWFARZ4WNEpxHtaukbTYkcInXVQm0YqlNCiEWN0aDIhGGLRionztUoq2WT4hpi9OQQMbaG5AlhFO+JLDL+kEZ8WbhzDKUiH4oCAJQ21K6B9oKQtagdU4LdFSlHgqkwixXN+SWEBSl5TLOS6JEIeeghiEpjjAm/3xBz4u0YWLQ9VdPiqnOsyWSVGWPCEXHGkGLibFETnSaEBQl4/rjl8aIijDsaJVKoMUSyVpK3HgIfPX1M6zR/XVleXr3h1RdvGFPAaEPXiwLEtQ0pJRaVw2lHP0bG2zswkc9y5P7tW/E7SJkaB7oRJraAk5QEWIyjRykrmxaVUVpUGwFpTTHayv7JQCxmOzmF8lwSrZKSrK+6VPeCH6iXFQrJpR47z+JyRd71rLuRswtD1Wja0wXLZkEaA+MQebnu+fo/+A6/+1u/RYUh9B39MLBb3/HixWt244B9uOTJV9/n2ekl49WO/+q/+q95fXNTqhoGZzPf+gff5pvvf8Du5o5+t8F3A95kzMLw1R98lQcnD7HR4IfIsOsZGDEqc9LUpErz+3/02zw7f0itLRpFGIOYdoXE3dt77u+3XHW3PProgsfnF7ix4ad/9SPebPZ84/Fz8ujZjpE4OLrtnpevr9jWI5ffec4HD5/SVufE0bDvEme2xXiFMws6lblYtmxvruk3PZv1HWbp+OryMcsBAjvs8gGLasHF8pwXb29oL+pfd/v8zfF3fFhrhPSeZLpzRT7PKqcExTBOvfPYw5619H/HKb9eTJSCD7Nzv2CNEiUHc9LClyu1cepbnqWYE/g6euGcC4CW+99cHUTeorEWW1dUbUu9aHF1SZlR71ZYU5ycy/Msn56l1TEWY6ZiJDb3aKdDmb+8l6mKOSscOKr4an2ojJa/n2Sux589RT9XzTkCVKjp8cVZWiFjFLx87pTeAciTtH8CnHYyTrSTb4KscTkXqW4IEjNcAOn8mZA2OVF1HNoaVPEC0hwZ7s3VX47Apjq0oM5GcALkjD7IyfX8eN4B2OlIAaKyLqqsA9g8lukfyIZp6FSpUxWVitHz+2Mmso6Bfi4V3kNlfXo+OafmcC7L/mNy0Zeo0EP//az2CJJYEH04gL6chQg5rt5O7Mk0F6b5PsXypeOJf/T2Dx/+6Fo8vj4nkoiZoEGpo2krbRlyUUzX/jR7Dufhb4D9QvRNatCZLUfNhUu0BePQ2pKVncctF+JKaSlkTcq66ZxObQ9aG+zc/mCO1g01n0LhBEXJKgRNIo0V33y84GvPHuEK+TFVvIPPKJUxxvH8+XO++tUb1Ce/QqF58eIN6/Wa/V6iROXakefU2mCtEwUrMI4jn/7qc2ISmfl0baUypjmrWVUzGdbNppVKSICcp6p+fueMTcRUnva4cqIO19V8jZVzUwhHDaicS2U9lkhAWJ0ssaWA5EfP/XpLuzzlq1//BtZK9N2+27F++5r1zRV+HGkWLSeXD6jqmjAMrDdb1usdow+kck1/8P5TVsuartsSho4wClFobcXZxRmL1UlJ9YKcJFI154w1mtWi4Q//4Hf56MP3CmdVUlViwoeR3eaeu5u3pBg5Oz2lqhpi3rLf94C0tZPFEDyGyOZ+z2azI0ao2hWuWRU1sZwXZSus0jQZ2XtPZpKFxKuqClvXuMrOvLK1hqZpSIifwd92/Fqgb5FN/+i3EDMRXQBmFgl6kt5a11icVSgTGMahyN0zlTZYowhjjw8eoxKLpiLlGnJm7HtS6DFZoaNkcZpsMHVFsIYcR4aho9uuiaMASW0c2riyJmiRy4WASjuiB4woCnS1lPiu7CEHbN1imgXGVNRVg6sbNNI778eRpBNRL2iXJ1hTlTUron2Rk1UtMQVy2BVGUaB71o5sDDmM4raZitw5SY78bOajNVkrtHYEVZgeIzcUbWthoowwi8GLc3n0HRTlQkYiz5gJi0r6EZUwtLl8n7KALaUU2jbkeoWxFSkLAy6bcklUyDHL5IgB1feQAmF7z+j72eMgDHtSCoUJrlHVEtus0EoWOFcvJNIrDhgySYlTPjGSMCSk3zsn8TkwtagbUgqEDHnYQY7YakG0Dm0q+uBRi5NZ8resK6zWdPueLnictqQYqUxFvapQKqG1YxgCzaKiqiri4LkzmpAatBIpFERMlEizCChX46wArJOqFYbdWPw4MIyBrBUmi1JEYzBVSyZSFXCdEKbTCL6HmMjKoZulpB+QIQa67T2+gPxd6R3040gInrptRUWgNSYFjG1AKWy7RLuWSKZZQs5ajBAzhKEnjHsqo1C2IoWEMRU2J7SKWFsxhEwiQAoYp3C2wa4qxiALe/C9tG7kJLJIZSUNIHh0YWNjBqwl+T3R76WlIQZhtK3GVBUqZSKqGMVlMZOkRmktmzwU+AGjHFFbUt2i7Am2qlisLljWK/Q40tsRpxVNVWGcY9eP7HMiWk2IQYiseikbWQVD8qRR4UyFSkay5JXM7xhHiIkuiC9IVa0wzvCdp2eo4ElByK6+67HG0K4WjJsdfrdjd3fDJ3/1Q8b1ht/6zrf5B7//B/zwhz/nRz/6Ka5yYuRXOW7f3uAqJ68XPDiLH3peX10RQwRtMRrJtM5BSJqsGbL4bfT7fXFnjjgnipIYQtl4yIZ36m/JOYt2LovJ4wRIDv2iB8mtsQbnRNa178S47GK54PpqK9dbCqzOWy7aJWPnGfc967uO17cbUl0TxpEh7dlev2Hv92QN8dTy7OlTzldLTs2C7u2G15+95s3trZBLZTOTlcIPI2M3sLSWfRrYsOHps+c8ubzkdHmOCZbRD/hux363Ycgj6b7n9asr3v/Bh3z3a1+n1oYQIypB2I/sdnv2/cCvXr6mfmL51rc/4rK+IO48t1e3rE4c7nxFGDz7m3t227dsb2+4Cxuefv0B7z95zsXqCcYDQeH3HSiHUhrrDMvVAhsSvu9oT1vG3cDF+QW3r9aoZSIRRLkSE2/eXhNij6mV5Eb/5vh7OwYvrT8i/c5F9XUwjcuqbOqPKpvAOwW/WTY+AcejPuRYrit5SJw3q5MRmirgQ4RLBdBqzcHdfXqNIxyXEbBlSiSbFodzV1dUTUPVtFRNjbUiSY/xQCLkLMuBnoDk9D7L+56r50URINJ8fRiXCfjnArK/ZGQ346LiMM9sPKeOPkD5QEfO+5OkX2Tgah6bA7ldngc9V7QzSpazqTKqpscW6XsB6FkpUsrEYZyBrJjyHcC9nA5RQIiJXI1zTjbLk4HeO2CWdwgYNX9zUF5A8WM7qoT/26TvHD3HwWhRvpQqEY3H808dTY2j133n+2mOHgGk6Yfv0lVyTqZzqObHlar99B6Pxng2nCvXTfQRP/bFwbvEQ5c5kueq7TSvpnYSczhnc6X9b74vZvD/7uc6/qOJd5r+LlMKYkxjeSBGMtN5y6WwJtV2Gb+i3ihd4gf5Ri4GfxNZUr5HC+jXBTeo0j5oxeRaa/GiMLaSaE1XFX8PUwBbkvjaUl2NMRw+QwFzOSMET+Zo3kzXF0xmnyiN0/D+00cs66IUUQK0Y4lC9H6g22+4vb1lt9mgyPzgB9/lO9/+Fn/+b37Ix5+84Pp2CyoQtCZE8Tyq2xptjEjPh1FajmIpJpUWnxSj9ORnVcjBQyV/usYUYgg8qW8oa546mpey1uZZuZCPT7maiLWylCg1qxCVyoTi0+Gs5cnjhyyWC1KGMHo26y3Xt2uq00uqpiGEwH635e2rz+k3d6yWKy4fP6VuWoyR2Ov9ZsObN29Zb/fsh5GMRht49PCcqtKiQFZQ1Q1127BYnFI1C1GVpsjoR8ZhYLvd8ebqlrv1mvc/eMb3vv9trDOl5z8x+oFh6Njc37Pd3OOM5ezikqZqSTERRmn1snopWC5r4jhy9/aG9WbL8uSMB08f0yxXoLQUm/qeZhll/UJhXBS/jCypdab4VagSd5pTJIWxzDGo2xbbtNjqby88/NqdyotXL7BW0y5anHWEMLDfdoSuY+wHbN2wujijrRpizsS+p6pqiIrRj2y6ffkQFSrD4AcYI+1yxZgi++0djB27bjeb5BhX06weoOsGpa1cTFUr7uJeFYlwkolotLgXgjieG0POEZ0z7eIUbwxWQe0abFWRlcJqMc/ru4FUInrGoSPHHqUdo3HkMM757aOXSWOdmGX0MYhcWjekZERy7z3R93KFR19YQ41yRe4htLXc+LQ4c8qN35CDqABUgugVsEW7Rqp1/RadAwqpootr7yRvErmP3FytgFRl0CpBXUuv8vkDbLUsvcojIR/6reLgiX5D6j3RD2J0FwOTw3r0oxATSloQjKsxpbfbkkErfBgJ4yBScGPwOQoAtA7XLEhapMMp9UWe69AofMl0b41Ie4zVuKl6We6BWonjrnWyAdn0HbHv0FWFLwoRlwJ+7AVk5IyzFWnT49uaEKGtarTVhAyolpwzlTFopRiHkVpnXLVgN0gP5qLW1A6s0oTo8DGhdPm8BurK4YzDlRx3lCIlRfLiXJ9yLi7BPTkF1uu3dF56mLOW/ijjlqQ0gnEY7cg+oLOQMqpuxVOiatBKUZekC9n0KdqqFulX1TL6BSoOJMAtWoyxhCD5m4MfyGQqW3rxldxMrTZMuexJSetKBsI4ksNI0gi54Ed08pgpVaEwvspUZG1IZPFRyB6JlkyksqlLOZRrzIrahuIKS0S351TtBa5qISRUN7C7f40PPRKAptCuZlEvWLQ1jy8uCHFg2O9F6tX3JUpmJPpC5tWSpCpVcJmrkmcsJpcpJfzYobPm0fIBAK6RNgNX1+QYCcNACIE3r1+xub7m1c09v7p5y7d+7/vsPntFo+C9D96X6y9JdMzubk3X9WzXO6pWFl+UZkwZZSzVcglZ3G9JCYwVwzw/0veDrANJNr8xjMSYcE0rFRc0qEyKRWqblZBV5Fkil4uccdp5KqMwztE4iy4tM8Peo03mzatX7Ic9VW3QleHyySNMyPSbLW9f3vB60/Fqs+drv7VEo3h7dcXbty/p88izr7zP+ycPuVxdoiPgR+Lo2Wx2+LEvnxvGMZCs5ukHzzFKsw+e00cP+ODiKzSqojY1uc/CrMfA3dUd6/We/X7Lz//yF/zK3/NPv/eHNLmRuZEVt59f8/LFS97srlBnjgdfOePD9z7kxJwSukjf99xc3fB2WPPB00t296LI2vqOeK54/9lHfPjoQ2q7ojFLxrEjjj3d+g5z/hCjLWmQayyQWF6cUeUFPXvuNnfs1UjVVjTJcn23xz04wRqNWVW89+ADmvr0190+f3P8HR993zPJ1Gen71KBVEpIf+2koqXnFt8iCy5b1FnSr/VcyfGDF4KqFwf9WQIfI9oYSXZpWlETHFfxAQFF0gM8p39NVVRTqn7GYu0BmE7vUZV0lJwywyh9o+PQz1UlYCrTHgYh53cA8OQnIH9bKpdKopyyzpDMTIaoUuGfK6ETEzFVTuFgpMYhvYd8ALYUcpsZVB4BYd4FyZN8XBuLq1tc06Cdk3NRFBhTFU2q9fHQs18MzuZoumm8J3Bu9OyRgFLEBNEHILxDzGh1qLJO1Ww9VxsPwHUCm7P0/Uh+PZ0HNQ9SGYuizlBThLDA1QJmp99Nc1CVnv7DnHyHgeIAjOb/n2HV8c8OOPo4Iu/w0EOdO2Xpn48hlPndMXYd0fvZlE6X4pIyRoy0dZGqT94XpsQmTiTVRIQcjwkTb3EgUyaQPvNFKs8/S+lojCbiicPXDPQngDlXnxU5KfEAylGkuvnw/KWEz5QBP7+3aRynuamd+Pu4BmVrMWou1W0/Dox9Vwo4oiwx1uGMLjU2jatrdDCEEOb1YFIRBS3qP2OlEEYpzukjIkdpQ11VXJ4ukfq6Lh9dEs5CDNJDvt3z+vUVP//4E+7v7jk7veDBg0vaxvH86QOapuH6bst6s8fvAyklAfc+SBU/JIyxNE1LSBlfIpTDfI0LqZbKOUlpag2R8y9TuLR2pEndUc7pNL5lrRPDw4OKQSmFUQoj4obD9VvO7aTMOT1f8fTJJQDDMOB9YL3Zst33XJxK0Xa/3/Li80/p1nc8efKEBw8fY2tRPuccCf2e/W7P3d2awUd6H8SPQMPp6QltXWONQhuFtRbnaqwr/fYlaWroOu7u7nn95i0ff/qC2/WWf/gH32CxaIkx4sdA1+24u7vl/u6WGDynZ+ecnV/QNgsUsNvs2e97NIq6qtDG0O07rl+/ZBwGHj57zsVD8QJAFa+HGBiHnr7rcYszuRa1tMIIbNRzqxpFWRGDR+kBjJW22aqirRdyj/pbjl8v3X90KRUzZXh7d8Xu7n4i+3DLButqjNX0XkBP7RqCF7a8NjWmdTSLM7QuF6vuwCSGfmBzf0Xe3RNzkoqpcdKfVrckp1FO0Xf7Io/XWC3xKwdWN6EMWK0xi1qictqWlDWajMriSh/KRRgG6WEwVcMQR3bre1IapR+biDWGod9hjJHKV9+JYiEMcgMLXipX7ZJka3zfoYMH15C0RldLOUFQJOq5MNQGo8qmPHjZLMRESIHsBzSygCnkRqyslUzG3VoYcNNi3IJsazHwyDI5iD0pCKEw9QxNi6eta6qlgxyIw4Y0Dviuo3aObGqiAu+7YkIkrvc6DLJJ0JJjn41Ba7kpx5xIEULyKN/Te1Ez6EoMwFLu0DGhbY1thRywJuHjHq0jmiSu9MpSVY5aWaIXCbk2GmctrrQbhCRsY4yKppVc+30v45TbBWmKGltqxlGAeDKIs7IVAG+SONwbo7A5YwuDqJWB0TNET9aa0SxQKJqmplYtjoCOAwaHMhmnLYP3+DCwWLZYbUgxMAzC6llXg7Kk0LPfemHJx57gB+lN91uytRi7ACwxJGrTi2y9H3HVEh8kasVGjWtalLU4a4g5McRAGhPZaKy2qJRwWomgI2k8jsY5ssqyqDpLZTRD5cR8JXuaukWljLFlGTaWGEZ8FIm7czVGKUbfI/yRwlUtKdXgW5IfCcmL/DElMW9MQW6cZeNisqKqW2GklWH0kQDYSgB1U7fU9UJiNafeb5uJRpO0gbTEFQdjbRw+RbbdjrG7o1aRYb9jTAMheMYgcZnKVox5oE6gXcJWC4wRMg3k2vPek3LEAK21nNSGnDKL5RKtFVXliCExdtIL1Zyd8MnLl6TKMnQdf/0XP+J+s2MfMtv1hh98/7v81b/5S1589hm3N9c8fe891rfXXFhpB2pXK2pnGQaJkAt+pPcbfLLk5kxu5mNAKQs6kvGiBiCglCGNgRxl7nqfcZWZgYPSQMpEdZDSQYkRdY6mEdWLU6CJjD5gVcZpjR8i3eCpm4r333/AhxcPGHc9t1draU/wmqgV9aJmGDy7YcA+Pue7HzznrFoRx4RNijAOdLf33K/vuXpzww9/+QnZQAiZzTiQvKJfd1R1w5OHlzTGUBuLSpngA74fuLu9JaO4frvhelxz++qKP/vVxzz69jOeXZwz7vZ0PrC+2fL61WvWYc2T71zw/vP3qVNDY1cQFHEY2N5u6YYdixqG/cj+bsfAPefPL3j64BGrpsHllnGI9GFLd3tFP2b2PqDX17z9+V9T1UtJfekid/t71O6a7e4e02pav8SMmcFsCfuEufD4oFkta5bLU5rq5NfdPn9z/B0fMU9Vr6mPOB96bydQXeTnk5x+ulKmY84BL/3dQz8wlMJFGD2TQZpWGlVZbCWVd1tVpf86zaBNZyORW8WM1ZTYPmOlB1rMSSfHfASUlE3vUFrjYvBicDv62SxvyiyXlh71TjX6WMItP2BGNDNoPQaXxmBM+aNJATQ/x1E19J1/S6LH9B4o3gDza02lUpgr8kdwdDLvK6Yi0gNtxDlfGSMVqen5UbPkVKGIUUFxVZign5okEkfV6inmL+UsfjKEGRROz6uNbIKrqkFr8ZaZ+qDnOL0vg+kZ/B+N4fx/0wcsn1EVVVXOkkY1A1TemXPzuTkCxu98/+4bYCZvpx/mw09z+ZNZrTD5NORJ3VLaJWKQtqcS+ej7nhQkS156zWXfiNIYq2ZC6lgVMUcplt8dEh++pDyYqr7Tuc9wrByZVDjT59JTasI8l+RJ5DMe+ozzPB/lX/GrmcggAYq5kN3z35JRKpVBOpSY5/esS6KUbSQViSLhVzLPTFE4xNIOE4Mn04kHhTp6naPq9TyHlBhSK47IqfkakvYR6dcHazS1s7IeIXMp5Vxk9lEM44InZ2ialrXa8Pbqipwi6/Wa5WLByWrFvhu4vQt4PwIZ70cpaFqHqySBxDpH6nohAPJO1q7Sy5+zJPzEYlyZ0kS26Bn056TFQX/6tBPYp6hyUvHdong0KPE0MFoVdegR8TMRAymhFTx7/IBVW7HbbOi6jpwVwxgIIVHXFVpBt9+hteb9jz7i4uJBMTqckjek8HJ/v+HtrQD9mKH34mG16wa0sTTLtsR4mrkFJyWpmHfdnru7e66vb3n95prXr65ISvPo8pyh27PfBXa7LdvNPUPXUTc1jx49ZnVyhrMOrcCPnv2+ZxgGKifm6N2+Z7+5p12ueP+rX6NZnsl1pCitY55xGBi6PV33+ZwuElMo6QyxKLvHmTic1u1AL+po11JVNVWzwlUVf9vx66X72nB/d0NOEWM1i9MVg/cs64a6WVLVDqNht+/FyCYPDHHE6EzAsl6vscZwslixG3r67RYfkmThJonqc6ZFL1ZUiwXWSr93SnLRtXWN1ZYxRIYY0DFSr04IRaZsNNS19El77yEhg6QRefLQE0ePLpI8rS1+v2PY3hL7XTGUk8p6UuJeqIwFK07yOnq5GJQhGyUu4Dmihr3cLJZnmKoRRj8jchitUDFLRAx5BvxKmyJ/E8mPHv1B7p+lKoYz5Ahx7NBVjbYnKF3JQuE7NFIZNK5B6Urk3tahXIVK0ptoqorl6SlV3TLud3SbW8LYQYqMXUS7BuUkIsKdnOFDQvkT8DuIgxgC2gqJRDNigKZF6pRzACMMvbjyllUrjVBrsnZEbbAkdkNP0hnnGupFQ1tV1E6M/1JOJG3ROMaxR/lAoPSiGEvlNIP37HcDmSQy8JDQlKp67cgYQqUw2tJYzVjckaUlI6ONxqdM34lRmo9AGrCVRTlLW1U4VxHHnpgkVmQXlPQJ5oiP3XyjsDozdHt2SfLErRUwp/qOlAKj78pNJ4jCYapGoDBmQdZV2UBG/H6gbVuqk3OwS8lJjx6ssIu1MxhXYWOU/nynUTnLtWYMwzASQgAnRoDkAvLLDiBXCpM0xigUDTqLgWRGrglXlCHO1dQqk6Nn9AO6bSElKuswWgysqlrG3WgjhEZGTD/8HmtrcWWfbupRYqa0saysI1sxYDKlXSUj5pIyAaSdRtsG2zblxqBLHnWP73d03S0mR84vTjHLmjxk8bGIBq0rlGvJrqayNW3tcKGHOJJ9LKqFjLUOsGTtuHzQcHHaCoF2shBZ+DiitKbrelSOrBZLvvXtr7NaLHh7dctPP/mcsR959PQ5y+USFwNXL74ApWQDWVd85cljtGvYdiMqJ3HRD4Gu27Pf7Ygps0RTm1rWp3GUTUxxrJ4keyqJiFHlJBsKawg+gVGorDCFERd/lAzWCpFlLcYa9LTdSInRe0lc0HC+qHj0+BRN5mq9Q+06ttdrdps11zdX3BJ5/v4TPvvsE/ymY7vdsnhwyvOnT1lqg8lB2pp8T/aBfhiwtSHc9XTjWDYnCR8jEQgqsDxpabAQM0YrxqEnJQFV/Thy9ekNf/WLT3j2tUtUzixWSxbtQsg+FRlGz61fU73X8v2nH3HentBUDfhMGALRJ8ZxZH2/4+2uQ8WE7va0p5qnj97nyYMntLrFouj3O8Yw4L0w4d2wJeuWzYtbUns/90WPIYJOqKipG8X+fmATM2e2pr/v2WhYVnBytpI51y6pzG969P8+jwlACdCTlqk5cm6qeBTJ9gQ+0jGwL5X6GCNh9HgvIDvHJIRz05RKZokdswX4KFUq/OWNKD3LmvUE8M3hawKQUqSbDPji/DU5mscQCvgqktkpLo5CSKQDYDiApun1BYQpMzl9F+m8NQegpicQo+YBnKLA5h77SeLPEShJUpjI8/fHhABHCgM1A32lC7mhpTKsbTEDnlzMlSL4Eb/tS9FFgPnkcq5KscIag0XAB7Nqorx3dURmTM3jc4X5uN9+6ne3WOvE+2hyQT9qG3inmn9cnUaqm2oiTY4kyNMbOgDbd9UWX/72nRi9L81nVV7r3Uk+v9I7DzpUzHMxZkzFFf9goCepEEGiUL0neT/Pr9lgUW62cwuJcQ5bVRhbzd4IqCPSTBdFRDFEFIB/pEj4MsCfwOEE8OeK/dRikw9T50sfUoZaH5FJx//NgIOj5zyQB/lwjkrVeT43chEePrsqCoZSWJia3+bDaHTW6GQPBpWzcaaYaM/952UeTh35U1fDPJcm4JwV5ITOilTWh0VlWdR2bhmKQebjlBxBFvPps9MTPvrKRwzDyKurW27u93Rdz8mpoalhvV6z3W5JKfPw4QNWJyvu11tcXct6mBHpe9fR931Z1ypcxdyqkdKUgnEY0zT7LWS5L2Z9IJlyITWm86QPihiFJATpAvKny3Sq6CuE5HBWc7qseXixot/v2Gy3gKJqWmnmKIWYnGUf9/z5+8UQTwlZMq2lPjB0Pa9eveHmbkOYPstM5kJV1TRNi9Fq3gfHKI/t9jtev3jJ6zdXjKNU9seh58GjR5ysFgx9xzCOeO9ZLk958vQ92sVSHPgRRdLk9bJebxi6HmckncwZxaOn73Fyfjab/VHUaCF4UY8Mkli1Wd8zjh9zen6OdhZViuMphZKsUNpryv1DZbDO4RZLlK1L3OPfDud/LdC/vb4Ga6msI2nDalFzbl2pLFpCznT9wJAigUT0HXVVoh2GQdwdQ2S33xPIYB2WgXp5gnHn9D6QxyjMk3Ui/w+BHAJxFHnrSBLn1WqB0YrTk3OycSJvGfb4zhNSJ5PQlEUiKcmn1xavMz6OqBig38sCYRSprkhBoVMWZk8L9z+GAfp7UJZsLKpagKkw7RJlWyBRKUWzPAFTU9cLjLP4kEper5IM7DjKCYoSpZGTRNbllBj2Hdo5knXkjKQTVA0hjsS+w5mFZMmPvXzFQahAXYkxmqoPEkXjBPClTA5eFushsL15wdjdFWAm/dhyUWqUqaTfOQSqdklTL0GdlEV+YtwV3ovPQB57FrXGLU5QVY2PEWOkOppDpqofCJGiMvVyIVXVPEXoaVBJcuSTsG0pZrSVG64xVmLXQ5QFU2fGMIq6o6mlTaNUZ8lRHM+LVLItPY1D15Nzpi7sWs5KWhHIZKcxStFUIq1vjDiUkjI6enzOcg9KHqcMKQTGGMkq45whpkT0suEZxw4/dgStSGhizMRxT/B7iXhFCJtsDEpX6CwLtjWWbB1JSezfPo2c5ozRiRFQVSNyH2txBonBMxXL1hE5GMPEoUdlqCrJZo0hgJL4qNEPaK2otSIMPSZrQk6zT4SrG4nzCwMqBiqrS6V1xKaMNWCcEVOaqsVOzGuJlEzFibaualJa4nSWtAltSEpUFjGXfv2U5XpXChUl/s05K5WPFMnJkXQLWaHzIO0KtmI0kCoDuiXqSBhHulxzvjhlcVoTI/gk0fFTZavWmX59zT50WGdRKaB0BAxOG9rFClQk9p6w3bOqDTF41rsdJ8slVV3jKkccI9v1js16Q78fWLQtt/cbbu7v+fSLFyTv+fTBAz794iVN21DVFbUzXL98TYyZBx98VeIEVSp9Y2lm6Md+j1sMaO3AymY4+REVPTJFJimjl2tAicGjOAwjMkUtNzidM7qSDZk1ptx0y1aouCcHPxINEjWqFrR1RVs52lqjrWa/XjPc3RLqmvc/espqp9E5Y2zi4fPHPDw5pTEW5ceS+iBmZd3YoyvDx//qY/6bP/1zdkNfzrnU4Kqm5g//6HdYWlcSIGDsJOc3dKM43o6Jz7a3PP3ee1iVcHWNM5bzyzMUmqg0dlXzreffwmKonaM2FXEYicjn6/Y7unXHZ5++AusZ9hnTOJ5+8JgHq3MqV2O8Eo8TpdFJMYZAsoZ2ecZf//kr/uJHP+LhwwXvPTnj6XvPqI2RXr4Mm25NvaxZdAnf9ShnWSxbTk9OaZtzUrAYJX17vzn+Ho9cjNeMAFtTJNbHkClOXGJpUZtAthiOlWzwEEvmvVS+VKV512pKvo85E4axVFfSjCemqpQqvjpmllUKQD3kph/nwse5Yh/j9L24h0+b64OU+QgwpcPPlC4yaiuxddpVJYLvaD9g3RydNiOPo8rw1LufgieNI8mPBQyGQgDI5nLux5/IgAmozcD1qLpeKvZ2ciQvIF/Sd0re89ATuj1xGObKshCXBuWckAKumtWdzhY39PJSx0Dh6OPwZfO52QndSDze5JqvzaEazfG/5cnm3yFjpPXUA39UvZ7eQD68h7kn/51DzeTMQbkghRghgCb0/jcm+NFUP/qbPAFpIa4E4AtJFOKBKEoxkIv3RAq+GOPmsu0rffYzgeUwTuaOcVVpJSnRcPNYHmIrp3sMM8h+57Kc58Y7X+QDWUU6qrozE2HT90wu7Zp3zss7Y3ukIJjJJn38HAVsT8Z7CNCf1umcDyfuQMR8+RwU8gjIyYhZXDp44UyAXqkDyTGpZCblwuwDMitzSuHB6Fl5tDo7ZeEMIYw4c0TmFc+ClKa0KGjalnZ5wqefX3G/uZIik3qFVoqb2ztGHwQ/xcDN9Q1jCLTLhRRXwhTnFuaWo3EcZ98FlAD9g/dGevcz5cO/GY5UPRzO0RwSoaYwEuGTgKyyrKNFjYgSmFZbzap1qBy5vb2n63tOzk5xdYPajyiF7Oe0ZtUuaGoxa08lXWOKuOu6PW/evOGnP/2YXTeU96Bw1lJXhu997ztUVTWTfCnJNRF8YL/bc39zy+31NdGPLNsFwUta3MMH55xfnINSnBqDqxy2kgQqEG+CXKryfgys1ztubu7Ybvbim/bE8PDxJauTEzFIL6lsMUuvfwwRP45st1uuXl/z2eev2Hcjj58+5sOP3uPkdMWxt95MLKZJuu+omyWuXcm9S9ujC+RvHr8W6D949pARg43S/xxSYuw6VE5kI+AixYxFJCtaWyDTDwO+2xN8QGeI4o5BSlA3LVkL09rYRJd6Qgho59BKESvH4AeUUYTkccZitKFtW5SrCDEy7LfCxKdB7kHOiRmXcYBi2O0ZB8msVCRytxMDOC2OqHG3Q6ckUXamSM9yAltJdbwRAzs9O/rXNO2Kul4QEOdFq42Y+lW1iI2MLO5pvxeWFEfjKqIOOCPVWh8jKiYq4+jGgdztUGlEp4hWkgdvV2doZRn7bZHTRJSTPiJjKpSyIlePYh6l0gZPnv82Z7A5E3wv7785hWZFGkd0CqQ4SKKBNeUzGqrFCm0drXHStpCFcdLWEOqmRHZkQgqYnGmapciLcgAbqJc1OeSSrqCwJhNUGY+xA5T09+skEYpkrK4hRxQRFRLShyHu+BmwWaSCPmVCabEwtsS9Gc0YCxkUo5gzquIrYGQBHqMQOBhd/AcEcAYCPmSsLi7GKeH7gT5JNKDEnCisgnHYSWZnyRAe+z1ZKcmxLJuuXC1x9an0OYVBEgWMRmlL8gO52whZESPLpuHk/DFUlSy+o+ekqkRaFTP9dkPwYkxolSKOA5WV2JfdditSRDL9bsAaR9BacopDIvuBoDJ+FNNMpSCFobh2enw/olLxH7YKgiEnhXUObzJeZbzSGDR67EhoyQDNulQRysa632JLm0DK0qKikY2USaXCY6UQFHwgRC8Z8OVGo7TGVRYfMsPQ44k4azBJZPvLVlokyI/IObPbbRmiotWKSmecVsSQ6IZANJouZ6J1OCVkhXZS0YopEXOi9wNEz6MnF9garl9/Rq0rHr33Ht3QM3R7mqpm1JoxSsKA0Ybziwve3N3z8NFDLh894s3r1zx4+pjqk0/ox4FF61B+5OrqijF4FhcPqayVsYrSbiRReLJxTl7IOm00KcR5jVU5y+a9qC6Ukp7TlEXimLIoWUzZHtrK0TY1DiHJQGTAQy/KFKsy1kkEUTKWbS7Xt7ri2YMGu++4fvOaHD3mwRlfe3TJZ6/foM9XfOsH3+FyuaJRGpcDMXSyQcgwbDuuX9+gtOF2t+dtfyfKHMR4aLFo+Sf/43/MP/j+b2OTISVPIjP0nqHrePXL14SVxVSWf/gf/gB/m7jb32IvFW1TcXKyBK2pVitOjWXZtMTBk6IXc8Wc8KMXoDYm3r685m6/ZhvXLB8tePr8gkfVEt13ssHxin7oiQn8EBj2kdvXHV2KnH39Ed870/zxn/w5f/Kjj/n6Vz7g6x885enDJfWqYbU84bMf/Qr1/JT3Hj3g9pMNQz0pKiq8z+TsMUR+c/z9HXVJhplz2UuV7aBqnMBFmgH9QYI7VUZkp2qsVHnF4LbUo+bqOXP1n/J6toBWPcmep950eeRcQRJSNM9Af3ZGz3neoOZ5Y33Y4BesJMcBGzK5x2vtSvW1xtgKU1VoW4CxdShrmPvl3y2XzmMjTyhkv7YOheTCJ+MLOSFyaJXcXPGfCxTF/GzKpH/X+K0A+pwFYMZw+FxFuZQLyTIpEyh54/I53CEK2IkhmnXV4fzMQHsaqwMInivzR2ZxsyHfFIeXp/7gaXAFlClKTlBGiOlyrnTxb1CFaHgHoJYC7fzzmXko/zPNwelzlnMphWZ1+PujivQ7WPMIeU4tHDkeSCOpRoY5ZWECZqaoF1TN0fz382OPyalJoj+D/WO5/rHx4PRVAHs6/lzTCTgeh6N5diCv5O+mvvky/Afi4Ag0qkltMAFpDr+bXu0IXx8eO1fSy+MmpFnaPLPRh/eUJ/KBw9jnd59/IrAKjBW1nJqE69NDD14dkxIn5UP82rHHRJ6iH4Pc0yun+caTD1laWN/cch8jq9UJZ6crnNOlGi4Gf95LlPTJ6SlPnz+H19fcFXAfM8UoMFM5y3a75X69oaprFsslrmqEbCpEhy5k5ORtogzC301r5kw6QkbirTVIISelktw1DdI05lMrx0StCFmRyvOSMzplhpxkD1OmgVFS2d9u9wx9jzGaB49b2uUKvelwVc3jJ09Zrk5mNQ558hoRM/i3V2949cULfvaTn/KLT35Fzom2NqRsMSHwR3/4e/yjf/i7ACXhSNb1zWbD9dUVOsNi0fLBhx/JHFWKq7e3/OwXn7JcLOYiblXXRSV0PNdl7yPGiZ7rq2uur67ZbHrOT085PT2jWSyKoklB0oRsyIS5L3+/2xF85NGTZ9h6yY9//HN++MMf8/LFC54+e8Ljxw+4uDwvkvxZs0mKCas1tm7RJX58Skj4245fC/SdOpGqTor0fSc91YXhwxgcDmUD3gtr63Nm3w0M+w15FPfurBTLkwvMYoV2Fc7WODI+BLQfUItGTlxMEDMqRBbLE2pXgZZMRZUV1mk8kZAjSYOpLMa1AhCRxa3vO8b1jbD+riErCymglyv80MlEzxq1FGCmSZJBnYEsxg5aG2zVYqsFKIWpahbLFSkpQo5o63BVI3EbMRDGHf0g/d8hJsbQYVKFHwKVkVtJF4skL0MKiagSPgRi9lgFqmrL5iJCGiUHOgVMtRSJsjFlwZAqtcpJCuW6JgcHaZCe35jQVgzItGlQtsFUC1SMuGUN1kl1t1lSLc/RytBYjVNSGUQralfRNjVaa2Iq7phBMutrrVFOzP/I0k5htEIZI9L6BPt+JMUBnTL96DFkMBZiJIZMzAFDYHe3lRsXkaRrTpYrGtMK2RMjY0rM3KLSLBbigSBJDJ6YFElZYoxYxGcgBg9K5oy1kgVvSsyfVH8iRllUioSYGLoOpTVjSGhlyGkkqSyEVk6M4wBE+Z2pUNUC0y4kIk6LkdOyqdDKIf2FHh9HgveABmNJpiZrhXM1y7MLjDa40irgtcJp5LwB9WIBOVNbTQiB6OFuvcaPPV6b0u6QcK5iDCO20tTZkK1hDApbWVJWQmpozRA8KidcswBTk2KQRVYrUatkQwojVS3+CSln2qYWxjMihklxLCaNkLQiMRATVKFCaUVOBmNVMezRZB9JITKMAxRpodcaHTTaVqikyFGiFZe2KiAWqUZY2YxkDTqLeWFdN0IghUDXdxityVbmacoZv9+Sxo5kjUSqKMk/rp2QFMrA5UXL/+D7H/BBFdjGFX/x01/w889/yVff/5Dnz99DO8P2fsdmt8Pfb9m8vWXROD589pRfvXjJzz/+mM1mS+gHFGCt47e+9iGhGzFGEYfEbrumQ7M4OaGqqqK2segMSmmprlgviRmZMjYjmZJBrZRcVxNpipWbpFKFVFLoytBYi8mZsR/wMeJjJMSIDxGlNZbEehw4bR02I60hyZEDhDGzWa+BxJDh977+DBsS933g+3/0e3z7q9/E5owhkryn60ZGP7C72bLddfz4i1+xGzqUTdTGAd2hDVLD177+ISemod/t0GpEh8yrT15zu98QWnjy5AmtW7HIDTfjmmXrcOen2KhwxtKulrSmQedAHnp0ElWUj2JYFkJi7AZuXt3zs5//ik9efMHTDx/w0Tc/4LxaosY9ymRyaogx48MI2dDtAlfX92z0jkfvnfLg7BHvPf+Ab3z/+7z4/CX/zX/7J/yLP/0JOXb80//Rv8/zrDl/fg7Lhv52z+AGzi/PsaYS4joMiCpa/7rb52+Ov+PD6uKknhMpq+KefugJniqIscgpQyiGfaUaLz30RZZfeo6zUjMYO1TkRDkzARp1FH82ARDZ7B8qYfMOdtqOld5VtBZwSKkaa0PSkRTNXO1/hwyYPuxULS9VclOq3ca5kjw05b2XFJ4JPMYgn0VN5IK8WwGNzMQIKc/jp7Qu1beSWpBEqSUV/lCMQ0uFv4zRLHQvwEqe+uDgPVXepFdfvAaUFnBpqxpXt9i6EQViAZ7GOqyd5PYVtpyjyQuGMvIToTMXePP0f4fPO1X8YggS8xxDMYHL8/melALkqTonztztcklVV6V6xwHMHUHy6XQXimYmiY7JnTy9n6PzcHwcNuZ5ftJ5Hk6V8HR4voNR4ZQOUQC8MUK0m6lKqyBLBN2xmeGUDi9996LEmHwk/obK4R2iaHr9olCY0fq7H2m+No5/dvxfeVtT2OG7QJ0JNB7m1HQtHeP6WaRyfMxPlY9/NI/PpKKQFhxKqVkYG/WlR6nyhsQ8r4yROvSay9wRc8Aphg8l/69zlmLiPBfsTMZMtINViR98eMEffusZKxvYpDNefP45L168ZNHUvP/+U05PVnMkYogJHxIhg6sbbCXK59F7kcAX07fnz58x+sDt3T3jMHB7e8tydYJz4nM1p1xMLR9J1LFy3X6ZwHmXsMlJVNAH/4WjNpd3CJMshdU8gyr5jZZI5orDPJxImfVmR/Ce07MT6nZB1bZkpXj23vt849u/RVU3sypISP6B9d0NLz7/FXc3NzR1TYpSoVc5Y7Wmrhx1Zfn9f/A7LBaNeGf1Yna62Wy5u71l0bY8fvaMdrFgHAZpGfWlKJUSq9WppKO4qlxXct6nNSNlUZ93uz3XVzdcX99xd7cVdeflBcuFYBlykttDadEY+oH13R3dbkcMYkz/8PFzvvKNhm9/93u8ePGSn/34J/zohz/jZz/5mD/4w9/jg4/emwk6yNi6oV2eClmr9Dsk0992/Fqg/+azX2CbRqTuJDEZUGJy5lNgHHsaVzFG2PcdIQasVsWkoEVXDpUUVW0xthE/ujgw+l6k/imhrKPrdqgopEC7qKmriohlDCMhCQgKe49PYk6Rx4hxjhB7chLn0OC9/O1iAVmR/Ii1InXPSpOqE5l0BuIgfbLGKqIfSv9exiklkXHLMzmhStPUFcYZxl1PHgZOFit0VTP4hMki1Qsaoh9IKoHOhHEg5ciYxAk8mkwYBQBaZFO7OD0lckalNGMUQ4gU5Uad+r6wr670SLnia+OkOhhHidzRlkyRFrkGbSuYHFSNjLnSCqcUy7MH1M2SsN+KdLDvSTExOsMuJCrXsFq12JTwm61IXMiEIOYt2RiS1qSduBLrnFBG47MWaXpK7MeeMSWUMYzDQL/doK2hWp3N+e1aKYZxBCJ1s+Dk7CHNYkU9xfyhSD6IhDkJIaJyIqQkEXWU6LKqxilNxIlaYggMYSSMXsialKispTYWQ6T3khCQ/YC1NT5mxhDQzoor/7Cn0uLmGpNE0OSY0FWFqmvpaW9XUs0ubPGYIzaB1SLFtK4Rwz7TEJQWc7SqompaAdjJk71nGEdhTLXGmAanND5k6blWhtEnkaj7gTHCqGuatqFxFTpKZF7WmjT0bLsRnEUZh8nQ2JqgA0plqovH4kSco7gdR0dEWiomEKpNK9mqSeR1yo9F+aZJplQhtCMSMcahk6G1mpgVOZaNRoLsI9kUk0alqNqGcfQ461hpS0Qz+BGVIY2e4DskVVbNG8OmEhDrjKaupHffGEMKkRCEcDFGCJSYAv0YSNbR1i0qleSLUjlQ2mCVJmnF73/lIZfIJik3Lf/Bf/xPuHp5xb/+y7/i89cvebY6w2aF3u/54uUL7u82vH79ij//6ccSW6Kk//TN9Vt8CBgrLuyLulyXRjMMgzhqKy1RT8Yd9clmUBlT1TLOMVDMDaQaRiYrW7wvCgGQg+yPEdWFa2t0hv1uLyRhSnPrIVoVp3GNzoGQYIyZ2hhqp7m6v2WICWUUTivG0XNvLBerJeN+ZFDw4UfPcNlAiGI2uduw2ey4vrvjs5evWTw55bv/8NuYDn7x579EjUFI37IxbdqGxw8vMDGzvb5jGMS34j5tWX71jKePHvHk7AnD2nP/dsN2u6Vu4Oaza6LNXD4648TWqBSxlYXgyUrmqpDMiu3bjtu3d3zyxQtowTaG9XDH2cUKHYPEukZH3PTstwO7fkcYAtv9jvqB4qOnH1Lnlhc/veM+3/PN732Ti+9e8Ef/+D/gv/zP/j/8p//P/4w1ga9Zw6vrnvPzBbVStO2C07NLchai1Nqyx/1NQf/v9diu72XPoDWuKpF0umw53wFa04aSQ7992SgZIzF2UwV/ktemUo2cjM3mvSrMwOLwu8NrTT3sB0B3AEKHeCktSjOhvcVvY64slg3aEdA/VKVLzGbZ9KvJ1E6XtJ1Stc5qeu1jwuDwPg5gj/lnsjNXB2CopMVOKSV7CpXE70BJNSqnAvynqv4xMTGpE4oX0ly5L6DS1i2mRBpX7YK6XWKrWtSZXV+ImUiIGe8D2gSM8WLSV8DnBJzn88zxOckz7pxAPnlKTpjIh6OTOZ0XNVWPZY64Ut2u6rqopdThPJYkk+mczSAmM1dCZw+IlHhnnqSj+VLeo7z3NLdmHM7NETkzza931CZ5rqTqOUpQzQkOqsQUynk0B/BMIasA1MHTQhewdzTND2+xIFvhwtTUhTlNnS/j/EMVfn6iLyPyzL/1OAL6h9Kw+vKvy2t++VWnPz0wD9P/KvUl4J/febdQzPWUeve9qsPkkr0JQpxNzzGd9/laKlJuee3p4pIn0QUkGm2w1nBiE7//rfdZGfHkODs9Y/XNmrvbW67eXPGLj3+B1mJQves6bu/WXN+u+fjTL7h6e8dus5E9gB/LZxcS7Pb2jpPTU+qqwpeUhcEOgD7025fpM4FmXeb4QYFyWPRyKV9PxFVSWUjLJOtNUtP5Pl4oD9cGTNV90ExqEFE0mOJtAmK81/UeWwe0cbLvzPD1b3+H04tLub5iYOi2bO6uuX17xW6zoalrvvHNb9LUDZttT1XXdIPEkioFrnI8enhOiiP73Zab6xu6/Z66qnn06CEPHz2iaRaQE37oiTHQdx1fvHhBypknz55ii3JXTfeGQgKEGPB+YHt3x8sXL9ncbdBoum5gdXLCg8tTjJY97VjaL0Lw9F3H/e0t4zCwXJ2yXJ6glOHq6poY4cOvfpUf/P77fOu3vsPlv/iX/Pmf/VnBTbJ/RCmUdbTNktXFQyl8lhYP78O/O9Bvz1qadkFG+nAzoGMiKo0fOmpVsRkGNptbnFZcnj9AV1VZYCzOGTSSBz3GSFKR0UeJmRpHmtUJQwRtKhZtRbaW1I3s77ZopQm+l0GyhjGK2R5Dj9aWaBTZaIyTaIfsLIaMyY6YskjTtRWJMxnjLAqNM4beDpLrGJO4+aNEnuFq0FlyybUm5kztKpS11CcVoR1J2pCDnGifk6gbssFZJzI3K33OCQhR5OAmGYIRiW5lLCpmMU/Tao7omC4WUy/A1cSxR6ck1fYUSTlAQowD7QK0OKvmnKmWK+zyhKw1ztU426KcGHQZrThbrkge7m5fcvvylySl0LbCVg2tPaGqaqJWdN1AYhCwHgapXLsGSOTgsVYM7qIEcosMsTBcppKbpHEWExW2aVktT6iduMVXrkFXFSEnAco509bSghBiJA8jKQW5+Y+SEZlKRSPGVOL+tACiDH7X4ZNU8WPKxDhiMLS1eAik0BOjYtttZfktJMnY7Yj9S1QBZCYuMdowpCApD2NPHAdUJXmkqRtlIQ+i2hiSRxsjmfAohpRL/nGmKSaNKEPbLGgbS+000rFuiVkzhpGYAso4rK0hwxjFzyKlzDiMJCMkAdlyUjUY60BBCiMhjoQwkJQmKoutNNZWs4wrJy9kSQaXIyH54q80SpUEqS6TRY4fkhhDGg0ZzZgTmowziZwUMWcMWXrfkX5NlTViRaJEoq0axgwORV1ZYgRCpC1VsJLYg64qYhCX2UQGZWnahhwzsfgfdD6QfMeirllUjqpZMI6J0Y+kYZQqi4ao5Ma5UJkcB3LyRBKjT7hsMASi0ugq8jvPFmzWa8bG8eD8KSeuZpPf8q0Pn0HK/Plf/JAv3t5y8/qGNRWuveD288/xMXD79g37fU+MEeec5NzGyKcvXvHk4QUpJqq6kc1oygx+nHOwC+dQKjOSroB1mLohDqPEIybZROg4iExfW+mbrMURWCMKD5Uyofd0o5dCcspFRprR2cj8iGLkN/pAsEVqVjaB0Wo0lrD33L/eop+cQlIEVaFWSx5dXKJSZBwH+vsNV1ev2Qwd7tEp3/3mb/P07CHD7Ybt3Za3n16zKT22lM3oo8cPqK2lW6+5v33Lm/6Oi2cP+fp3vslJe45TDvpEHALr6w3r9QZeDPzX//rf0Hz7AV/74H1cShgnioaMxg/Qd55x79l3Az/+6SekZeLBb11y8rLhr3/4cz78nY94sDxHJSMEWlbsdxs2dzter69oziwX7614/ug5NSv6W89f//c/5V/+8C/5p/+bf8o//if/iP5uzze+9gH/x//D/4TT2rBdb1k+XODGzCaPXHz4Ec49hGylYuxhiKNI8n5z/L0dTSuxRNqWijwUoJyJxTgu6yxgWClwBxBndMmJL5XvFCMxi69MKtfSvNHNlAouTL4Xx5XRGYRR9l8T8JiBSPlfKe3P3+f5jybIdawOgBnwqaO/m79KzNIkKy6NsfJ2DqBy2mgfnvlQNpV9uXrnfapJtpwkVhelxE0+iU9NVhqUGFXmqT1wrjK/i/qUlgqTGPPJOmYribKSFgMjxnhWyNthv6XbbUuLhJoVCpOJnqgWDh4M6ZjMyV8Gz4dhm/ZSkwzdOFeqcsVocTZwVDMZq8v45CMC6DCOR9f5TKpMUnrZaKd46J2PpfI+9dRP+GeqFk/r5iSxP8QIHoHd6W/yO6/+znwQE9dSiQ8U2bueq8GzFH/6jPoQeXiccT6B1+ORnMDv/HeqCOELsTYN+6yQ+NIYvdNjP4HH6RWOiZrpkerwWN4Zg+OTC196JfmDPL3WAdDK206Q9dGTTE91+Lt3XuLomzxLz4tcfALxxwTEPIaHN6/Kz48z5Y0xOFdhVebxqebxWS2ttfqg2ru4OOf05ITrm1t+9rOf86Nf/ozb+3uGkFlvO375yef0XSetbCEQYzpc2sDbqyv2fSdeSFphrKhRYoyIrPswXpPaxU6T60vjIP9T1r+UxL8synNEjYyJevc0Hc5NnpcdqdzLWKZi3meNRO7p0tfvg5jv5gzaOkYvBcD33v+AGAMhjHTbe+7evmJ3f09dN7z/4Uei8FWKbr/n5uZe3quS9qEMtIuGtq0Zx4Hrt2+5ub7m4YOHPHvvPZarFa6qUShiGNjvdtxev+XN1TU/+cnHPHr6nOfPnoqngppIYLnWvR/Y78vfv3wFGR49fEiKN/TdwAcfvM+ibQghSPy493g/0u129H2Ps44HDx+zODnDGMs4jPzVX/6IP/7v/4z/+f/qf8Ef/pN/THtywTe/+z1CHHn6/ElRV0vSlXEV7ckltlmJejdJr3/X93+DVjs+fi3QPz19jNaaEDOZSA6RgJFMa63wBoypePD4qZiEmRpn62JgEQljwuhyIw4B7ztZ2KwYMCltcGRMNKgI5Ig3MJhM7NY4bSQyz0caHGph6RVUpsJUNV6BH3sMGmckH1Jbi0WjlVTWY9+RtKJuWiJiPmaMwRhHqjRWS0Wxqao5o3rInkpLD7sxJfdVJZxBnMCshSzydGs1IUEIPTkEbLUEtPgWWEMioQKsXIOxBmUVPpY+mWn5UBrlaiojhIGqapRSElUYPaRIpVLJOq3xPpGTxyhF3S5QWtGYGpCLyJClB674G3SbHbvdmmHcopenOFeDtrRNS0RLRbC0YyiVMTFTNS22EpfTfhjRxciCMNIsa6ySfp1cDMEyiEN3ViTfYTBYA92+o7KGygR0BD1vyiL9sC89lIlIgiwLVLNciFoiJuI4lsgh8XvYrDcCmrTCxzL5tZYqQox0xYQv2ApntMjcUpbec6upTs/pmpo4Dgz9Hj2+lcUyy01QNw325JyUDDn0KBLaVPT9lhAGkcUbi6krjGsxpkajiSYzKjG9MRmsMfiYGMIohIKO6Iy0fUTJpbcqopUSPwPfQxKHe6d1kajrshEYGEIURtEYtF3grKMxjuA9YxhwJbbImEpSEBIELwutca5UjgGloarJiGM7OZKjJyVZhJV2+BhnR9YcR0Cu45gixES0DT5LnxRKKiHimA4hlIaLusL7UfJpe49GqkUGRSKjsy/EQ2IYO6zKtMulSos/cgABAABJREFUEIKNfK7r7T1qc0flatCOwWgSsuYs6xaIZD+I5JNayAdtaJyTKo7OfP/DE8w4gDVYbRkGz30INOePWbqG5WLBf/LRN7m/vuZf/Xd/jDo945df7Pni4xUhrssmVOStVV3T9z1kyXy9vpN40LZdUtUtyQdCRIwL5+qEbBxjCmKkl6TvnijtHcoI351Cj1JyLfjh0BscUiL2mZTGAjyEoMxR5g5KlWsHMglnBVjEcmM6bSuenZyyfnVNGqHrPEkrHj46o08KRsXq4QNqU7G737C9v+N+c0un9jz8+mOeP/mQlV6Cj+x3gZefvuAnP/85qRCi273EbVb3axpnGccezmq++a1vc96uOG3OISqSFxO9+9cbfvXJF+zMni/++lM+uXnN//Yf/cc8PH2EQxUZnmd/v2G/uQM0r1+9ZacGPvi9Z5ydnlGFio9ff4JRCtc25CGxT3uG3T2DT9xtt3R+w+VXT3n+8BmtO6FSC/q7gZsXN/zxX/6EX7z6lP/in/2/+Nrzp9Ar6rrh5Y8+p/n+I84XDZt+JJwmTs8uqMw5OcumLMTEer2ni1vOT5tfd/v8zfF3fCxXK5QWEjNG2Y9M4FZUSLK+KCsg+iD7FjltjFHMy0rv/lwJnnPfpzKltAikKQlj2kAWcHZcxVJfqgjO0uNjaS8gm2C53094YZITKzWJmQsEOao4T6TAO/LqCcbnLMZ65R43x+UdHxOpMD1Wlc87/TqXyp3WhSiRdSQrI/1TWUN2X6ri5/n9TWOnJ8d9LWZv+SiDfuoRz2Sin5JVOobdHpIkHhjryped88t1kZir4vB1XPVOpRo+ncM0nRcOPd7m2GVflSqiAsX0s+nU5FnOPJmozn4ME6KZKu1lHolzdihfpeAQS+xbmmT7M+I5vObsHyCEg3UWshHiaU5C4IiweBek5em8z0i7VPqK/4tEj5l5HMEWgkvm1wzOvkyYzGTVQeUxzTR9NOdQU3VThlva3UvE4IwYS5PAzG5NY/CluTnNofl/Di8z/0D9zcdMY3H4t4xzeVNToVmeIb/zqpMC7QiPlpc4kGKHecZ8zplY+/LPHJk5U3bq8BbK97qsHdZKxB2+5/H5kqXjEF8JRQYuldvLBw/4ndWK9z74gM+/eMmYNJ98/oZffn5FYjiEDx4mLxmIMbDbbKjrlqou5NrUU08urQjTuU/zl/hr8M45mB7zZeAoah41jx/qcBbeOYdH5FtGfDBEOVVwBhTD8szgAylnFqsVVV2z3Xe0iyWurthtN2zXt+w3dxiVefbBh6xOzrHWCp4ceq7f3vDzj3/JrhsZY6L3kZgyizGyXu8Yx8D5+SUXlw85PVnRtgtZW5QmxsDt9S0f//RnbNdrXr294+Zuw7/3T77BYrko6wrkHCUqueu4vbnm6s1r/DhyeXnBo0ePURhevr5nP0bOLs5Aw+ADQ79nu14z9APGaE7Pz7m8vKRdLMhKMw4j67s77u/uePHqLf+3/8d/QVSO95494uOf/lSSYCrHLCJSGlu1uHYl6odyLqMXBYc2f3sr4a8F+nd3V6QxEseAaSrpjXcVrqpZ2gVZK/QwoiJklej6PYPqZZEbBxSG7dgzhsCw35JCoF6dymSsKnSRvPjaiAw1Z1a2YXG2IJxcSptbzqS+w++2xO1WsgfDHmMsy5NTUtZEH4i+I6OJ0+RLiThsBJi5Bj/sQVmqpsbpStzAo0dXDqzGj4G6WZCSgDBlLRTn2FAcTmvn8Gkkj57Q78njQHAVY+jJIWK1JaMZtSGNHbn0qjeLE4meCxmrDBXSNz6WC8PYBpdL1bPEb+SYaWxEmwVQ/AFUkcouDCFBbczcW6dSJo0j225NiCNoxWJxilKGMWVwFcac0jQiaVfaUlctKU0Z7A5njBiskcnZoFLG6shisYScCNGSq0qUBk6Imqy0mNzlzN7DGBKuaaiqmpRScafObLuOuAs4pTFOHOO32y0x9BhjqJsWW7WolIj7HTebLWHYiat3ihglpEmIkTjsSySSQzlHQJjHlDIqjri6gSAxXJObr6lbQgKnDRerB/icyAr80DPut8R+TyZhTE0KgcpGcdfPln57LxdECDhbE2IgBDEJrGuLMQ5Doq1asFVx0Bf5lfT9ZYIfCD5QW8cYPCn4UmU4MK9Yw2KxFHIpR2Ixt8MoSRogiaojevww0HvJgEYrollgXUXUkT6MaDSuaeUGkxNaZanKxAFJm1eobIUkIcpGQSmi0tRF0qVVxjUrVA7SMpE1ITNnQxfsAzmiCaisiUjbQZUSldZkpfHA6JMYTyrFGBNaUzLkwVQVSovMXhuPzcUsq2qxVYNWUDtR6hgjkVHJB5JkkGDKJkKSHQLal82PinztsiGGwGLZYp1IZ/vSu1sHUJ3H9x3j1S1ff/SYy/ee8fHHfwZPvoJTltRtceNA2q+lZ664GgN03Qgo6npRiCIlZlQqza7e04YpF3CedZG3ppHZ2SlHccgnS5pFVozDeLgBK5HT6ik6DCEehHGPs7JGIQqNypTNJInaZrb3d1y/uWdIHSElzKLm2dOnVNFxc7eBh4/RMXN9fcV2HLj8ymO+fnlKq2qU1wzDlhBGhr7jfrPhdrchZLlxhxjxKdL3A2/e3vKV337Oo9VTGl0R+o7Ob0Epxn4kjp5Pf/45f/YXf81733vMF9ev8ZXiwcUFJmp8HEFZ+nVP13fcvL3l1f0Ni6dLHj8648nFAxwndLs9rz59Qxc9p4sl/WZPN/bsNhtyq1g+bnh2esHZ2SNqVljj8N1It+u529zy/Fvn/GxX8Yuffcb/+f/0f+H07IRHjx+h28zX9VOuNzsWD1bopMm2Iau6VDTEX8VY8J3Hh1/Hof/m+Ls+9rudGECWyqeZwFgBdPodwF02PTkRxgFfIpKC9wL0U5FNa4V1Fa6uDxFiSklMrsoSiaWEuEvla77mJpn21JM9gwLe2ezKG5pA6ASYZG3XWok0/4hsUKXXeorvO67EAgXciyx9dvGf5OJHsvGJXJjWkIk40DOQ0zMYOYyhPqQXTZXSL1UsJyAjT3uEzspnjjGTCYfPOqkgyvnIKaJQtKuVtFdOiQFHRnB/UwYOE6zI03OWv5tApdbTmBYCJpf9Y4pzhJiA2sikcp2lyelQjT8A6SMwNcV2TX3/MRC8n0F/Onrc1EiQOZBAB7M7K4UmKwbSpigXJpVJCEHaN2M6tHRMo1dA1nxqjiqn8h4BFWeTyEPmPTNZwdyqkjkoQcrzzPOA+X72DkCcxivnWekykSPT/msidaa5PikMDsaN01Q6KEzm2MQ83e+m/xxFuB2B8wmEzvh8fkwuz3EA5eJifzSJyjU6tfYcpu1hQOfxYhqTkngzj+fRHFXH/ESegXIqRHuKmTF4xm6HSyOPlpeYUtRSBSnnVFz2Y8QHOfftYkHbNiyrJXddpF6eEROQIkO3g7EjF0ZoIrxiCIxqaiFUM6E3q4+OrqRJ5n1Uj2AiKDnQCTPBNV8NR9+/c4UcDeb0d/NYlH9lyiW8DwxDwBdQXjcVT549Rim4v7ujXpzgx5Hdfsdue89yueTy/8/en/Xakl1Zmti3OjPbzelv5x3dne5ODzKCEZGZkRXKrlJZkFCorBKg9wL0W/QzpAf9BQF6FiBAqEplJhTIBhkdGUG607vbnnY31qxOD3OZ7X0ZQT4UQgGUwwZxeY7fe87e2/o15hxzjKtHrJZrMSgOAT8MdH3P1998y3ffvWLfe3ofGUIixMR2t+dhs2N9esFysZA4z3QYLcoxsHnY8Iuf/Yzvvv4GrTUP9xustfzgBx+gtJ4KeV3bsn144Pr6DduHe5brNT/49EPOL6To0O5aiZhP4nHlh56uHXi4v2foelYna64ePZbRimLsF0qU9MPNNY8uTnn//af8/Itv+L/8X/9vfPDsiqvzFf/oH/1UDKzL2s5YR71YiQH3dGw5+Hb8LYW0Eb+V6Nu6Qq0dKcGyXhBRxE4ckIPviTlKN6dIrJMfRB6aE7fXL8htS/QdxjSoZYNb1iSrGIjgW1ZmVX4v4sNA3/Yk76m0o2mWJKMI0aN8L5XPykIvbvtow+7hgbAXcympjmupYipQSohCTqFUoYS0ozR9GBh2W5xzVPqEFMAZK3FyRJxGJM5RbhQ2iwfB5vo1KXaEINmHMSV0CKAh9y1RGbp+j8qBHDKqWZBUZL/11HZB3SzYtZF+t6WpLdgaU9VCxKxDK0NdJIZd9DJnr2QeMaRAComkEk4r6qqi3ba0uwdIPcZYglLU1lCvTqmrBU5X9DFQZYXNmVxVZK1ZGEtVNYRCOFPwhHZLiBLFoVUg5IzNCVsvabvSfe+3RcoDVkvmvFKaZrHC2EpM72JCq0jsI9YYTqqKmDV9MuC9dEqykmjBeiExg9GTRI/M7e0tikTvg+Sip0zSjqACWo+3eINKnoxHmQXWOFTlSFFy3oduJ3IXbVApQt+xVNA0a9LQMgSJOqtcRV3X7LUluAWubshhIPYd3e6OZrEiYNDZEOKArsQZ3LoaXS2IUeQ5yigSilplKqPI3Z6u7RmUjJX4rsUPA1kblKuwdY2tlmRlyUphlXSLjdYYBU4J8XMlQQDv2e22DG1H3+8IoSdqIVmpWrI4veR0fSZF2hg5aRyh73EqohEH9JAUhkQYOoJpqKzD5CQ+BQAqoZOnDz1VU0m3wdYlLiqRSPhiYmhzQuVIHGTbM6lIsQ4ywdjGyS210gZlFDFrdAwssqcyFUojcnYtKgmVFa7Ia5M2VApZjMeBHHpq6yBqMXXsO2IWx9PsZM5dhZ772zek7GmWDU+ePeGqEZPDUUIYgi9GeDK7TZFivbq+5hffPecPz9ZEsyCevotZP+ayMjTtPc//w/9MiqLOkMhHRYxBDFG0JaZYxgoq6Vwd3XMz8uCHINq3GKYF6vSUzEJMRH4PKsVpmS6kJZF0loV42cc5JkZ5oVGGLLaUhPKQ74bI/WbAdBFPT700nDgHxhEeOl6pex7ubwkB7j7cUV2d88H5mqfrE1SE5AeGriMET7/dsbnZ8PrL17x8c0NUiXYYCDHKFekMp49PefLkKWbImBzxJJLSGCB0Pd5HbvZb7vKOdzJEZ/nx737Gs/NHIkHrOrbbnm+/fsUQNniTeP8P3uHZ1RNO6wv6bU/oBtrNnrvNBhYKbTXZJrp9R1xn3vv4fdZ2jTMNi2pJ9Aq/D/RdoO936DrzO59/ymc/fId/8x/+C//Tn/w5/+P/6V/xxz/6mKHPqBA4Wy0ZuoB+eo5dnAOaGD3D0KMax2JpaLuK3a7/bY/PGX/HMFr8YEaHdU2eFjrTXL0qmfdJUk2GtpNEiuI0nZMUyVCFYFOyrEMUknjU1TvMVx85lytN0sX5OYmqaZTS5qmzXjqAIxNRUjSQxfQR6RmjzPT4vczkG1VmrmGSXIM6kNIyPjTlqI9Ec+ruH6KyppEEjr6qw31FUyLXjET1auukcG0PnWc1lguOixQjAR2/lsSBkQSOP6tH8qgPxEhr8R2RrqMYCY7pCLI/RZ4cpi73kSP4pKqQe+qhHnAoDBitoCTBjIRMF+PMyYl/ImljFN54DsXDsSzvNcXXFS+BVKT6o3R/PPemLvnROZvH/Z1lxErGCI8M28rIhNLSANHWSiGppEbkeDinDqMKI5k+cOKxeX6sosgpkQhTrFeK4+uVzw3l2EjakS2KipH5qeNCUdn/o8GhHzwxDNN/5zLqQtnXY7ShtY6MmST/B027morTh/fjLSXc2xUNjr5OZaNSWOGo05wLAZbflev2KLkBNV2WE/09/n4qOozXiHxGDZMhnxovhZHcpjFKN02Rh9IQiPLcT2Ii9/5FzbPTCpX89MujjD7EKD5jITL4gefPX/Di+QuunrzLdrtlfXbB6vwRq5M1vtvz3S/+gvbhVgouaiwyqclvLKYkhqJvVzOOCiRynSplZf2ni7o4yYZNI0qoSfEw3krGw3JIoHirGvfWuT/+TlLCl0JMDEPAe0nysEZxdnqC1ppvvvmWb797waN33qfve4yzPHvvfU5OTqnrBg3EMBBCoB86Hu7v+eUXX7LZt4SYCPlgSFc3De//4AOW6xOsLgrHnIr6IdLutnz1xRfcvLmmchUhZfb7ltOzUy6uLgjR0/cD++2Wh7s7tg8bUkq8+977PH72lNVqiVGyv1VWvHlzQ0qZyhq6dk9KkaZZcPXoESdnZyyapigJ1FRs6PZ7Qhh4cnXKH/3B5xhj+O7lNUYpfvz5Z5ydnU7nvLZGGnf1QjgzslYctyfEKFznN+C3Ev2z0yuRWqVIt90xeE8YWrrtDmUdOIMPnj5K7N7QPWBx6Loh5oQ5PaFSZ5iqpqobnLUyN69FXqSQOJah3eJ7iaAaYqTrbtlhoBaJvW2W000+9h5TWVxT0/se9BJ8LLNycoNLYUCpSOoGITC2RmeNVhVpHwhKZklMVjKfbDIYTdttsYXghBzp44B/2BP2G5JKWFeRbYUyEL1H21pMAcNAih5lldz8veSdmzZRNwvMYkm2NbuuxWiFPVkRjSZlg1suZX5dWXIOEt+G4mSxICOS88EHeX1Emp9SxEWPayqSOUepyGqxoLYVSWmc0gQFcQisTS2RY0oVQqJQJGI/4Lstu/aBXTdgUsI5J14IIYj0zijS9iWVs5j1BXnREAaRiIQU6IeBNPTs6XAWMoM80InoKIMJGYlm1EoyPZ2zhBjRWrGuGxINkGmM4W77IOZ/BMnvHnp0SqhqSfAdSWuUXZJdhV2syzyOXMB+tyHHyLSwklszKI1pLCErVIgyymYsVbXAJ4UaOk7qhmp1xpASbd/JaIF3BMQ/wS2WOHNGChlrFTlIVOF6fUpKEevEWCh2HZvtA77fEgc/3RWzlcSDjMb4DlWMBFX0aFeiO1KkbmoqZ0lF3phSInQdN7dvaH0HQSLLsraoZHDLCxZ1RZ0ysW/RzkikpK4xzZraJKL3DCGgMAxG4dWCunY4JA7QD71EscWelBRdDKzSUhae4Q5X1fgIPgYWyxWVyvjoizTcS8Rhlt+3RpO1IQwdxljqxYmYKlpxmrfWkpUjVTV3+50sCIeBZrEu4xxpWuha48BZUkgM3UYeOFpRVRWL5Zps5EZnnKQOOKPpCbTOMgw9D7sdH5mW88qgYsC6GsgsqoqHrSf6AWMNbRvphsDz1zc0a+ni3t4/oLNjuVhTq8zlaYN572Pur3/FTdrjkisL00i1OsHYqnTyRWapsi7n3/GaOIO2UvwLHoZ2UiXKwiQDujxg49TdyCX600xPVw4Lb61QymKyLEhScdLWKHKIdClzv2upnKIyCqdgVVn8zvOz//QXPLz/HkOMrNyS9aNTHp2e02iNS4lh2JFzBJ3p9x0hJV6+uOXf/umf0ipRNGRlpMugFL/7Rz/mdz76CJfAGSWmPSVGctj1vP7umg5F83jN7/AJ66sFT959xLuf/QCNZhgiQztw++YNrX6gfmK5urjgB+/+kLU9IfXyIOu291y/vOZP//qX7FYdVyfnWNtw9f6KxcmS89Vj0uBJIdDvOnLM9N3Afls8PaLm5UPPcr3kv/9v/xl/8KOP+e7uGmcMq4XFd5k9gYurU1S9wNqVHM+U6duBqsloHL6NdGH/2x6fM/6OsVwu0MYweHFQ7rpeSLwvc9FZCmypOK0HL+cBZbGvjCnO9RWukoKrtnbqQGakqBlDkGjQch6lNI7S6KK406UDO3bORQ2VjS2mbceE9LibPdEMQU5Fpn3owMpYocymv0Xw84Hgjw7OKcYjElrc7dNBRv23Lb+P5fZKy3rMWIt1tczFjy74JcJwGi0oHfSyGW9j3K6pIzuS65H0qWkmHjh0cJWMIYUQGPoBP/SSNhNCiYVLxeX9QGJHxYPWsif1OOw7fpTiMD52mFP0Ry71lJis8pmOtm+UYo+KKXmtXDqzcYqzE7JQpOtlFv6gtChF8XSIF3x7fx0i2hgX/FKpmpJXRhYpPgcy1jnuC0pha9zRhRofiijj2ZYzcejxcUsa5FmXRi8oQFkryQdVja1rnLNYZzHOTIWlMU5sIvghEnxgGHpCL+uGMAxTuoJSelLGjOeTca6k4HAg4VM3/ehcykcFo3HfTwR1PHEPRYzpXC7rS6l158kHJ4VexgrL+6iSLqCsQ2lXnpvm6LpnYu7HbvPHH0SrNJ1m06eYlDFHW1O2T2uNcmXkJ4DRiR//4BFXK1vGffShEx9T2bcDwQ+0bcvLly9Zr0+oFwtevbnl9OIS4xpizqxOTolDx3dfeIb9DsrQsVJqSvuR0zGhsz5sy7SdefqsUnuU9XJC5tEP11I5/qjDKGc+Pp9LoUzlt6MjjzDeiRIZnzJ9iPgy3mmNQlnL4D1/8bO/KgUKWF88oW4WnJ6dUjdNUTZRFC+Jru/Zb7e8evmCb795LiRXyZHUJVngJz/5HX70o8/EeypFUHkyYY3B8/rlSx4e7qmbkuyU4eTsnvc//pi6aURW/3DP7mFDGHpOz064uLjg7PwcWzkpJmYZM/zmu5f82V/+tahyNRjnODu5oFkscJX4g2hV3FoKye+7jq7dQY4Yq3jv3UdcXV3w/NUNIUbWZyspSpbiBKqSaFVXo5QhhYQPXny9ho6+794+zr+G30r0N3f3DN2eXd/iQySkhCWSVCYPe/y2Q0WZ08U68vJEOvDZo43DZEOlHVbJjLAfAl0a0BEWqyVt7Okf7vBdS9jv5Awqs8YJhe40ZnmGMla6zz6Um6DF914yy22DdkbmfhNk5cnekkLALVagnDwMjBjfKYV0+Y0mO41eNWTnIOlpdjob6cQqAGexJ6cYpUgpELsOqx12vcJoJ5FlSsPlEuccviwwSB5jnUScDS2NVqzPzjFGoresNVIo0JaUIn7waGUxVk8GP0ZBTBFlEqPLakZkRFYbrGmoKnCI5D+VkyknMAaiUpMsLAJqGGDoabsN/TDQ+Q6fIjkkcuWIRoGq5Ng5S2U0qRazwhSjdFidQfkBU1eEyqHNGUaXTF4tiorb7Y59vyF1D5A62XfBlziXClUvcMZiVWQYRHo4GLlAjSpZttbQ71psFPd/bR3Vco0y4phfFRIRfUeOnbh7lMq8cjXZOFSKpCiETpsKX+5vJoPL4Elkoxn6Pe3mjqppwAdMDFTVAlPMQQCyHzApUNcrcEuGdsNmc4syCuP3EEu1cehJsQdTizFlVhhXU69PqJen1NaivZg6aleX4ldCJbAkhr3EjQxDpA+ebr8haY22jUjXSZjVBfXijKpeslw6TuoK3w+k5PFjRyV09H1g35auq1bURmFSom8HdhnQRroXxpJ0RW0di4UoQxbOoVySarzNWKUZhiABqMqysBqaBa1vRfIYFgxltMEtH6FUpmpWKKVxVpXiniJnjbOO0KzBaPphzLcOMo/ednT7W2IeqIpMqYsB52qUMfiUyZt7kUDaSsY0yDRGc1qf8fjsDB/EuPGf/94TfD+gqgpIBD/QJ1GaeG8Yhp7bhx3dvmWxWvH+px9y+80NenHGavWIwXfY7h5jKz5/7ym/2DznOm7feog1SzG1yykCmqwDchWWJd2v3Xs1GmMbEkq8J2KS+xGUhbACnYvZWIkTSxLHaGyJTzIakyBkMfLJSrpiShcjRa0xyZNi4u6+pVopqkbj9x261ixsRqnEw+aG22T54x8842K1ZplBxzgtjklJjEmd4fb1PS++e4k3Qcx+tKYC2GbOn17wr/+H/y1XzTlpiAxxmIhW9pmX393wYv/A1Q8ueffRI6oKHj9ewy18+tnnmODYbO7ZPNyTzixPF0959vgxFkOTavw2yMK17WjvdvyHP/k5v3j5AnuhuG23PL4452x5SmUXmKBQiVIwzPRdx9BGrl89EG2LWVS8/8Ej4hDZdokff/4x6i8jXz2/5QdXj/Emc+IW9LuB+rxG4ei6QCwLsGaRqLSh3ffcDfe/7fE54+8Y+82OmCQVwg89vh/ww0Aau6ylyz51r5QWzx5X5r9dNeWHT3J4RunjSGZkLMr3gxDO0QegLCK1MWgnxnKUrrixY8dQlvwTZRnn5vNoXHcgkROJ1rrMVo8z6u5QTFCH4sNBHn2YTZ9eRxclgtLycBs71OOOy+PdqHSOx8g+W1G5BuNccZjWb5GptxaOx9/+DcJVup6Tqd04bjBy4NHZ+9AFT6XDHIKsfYZCGsftPKgPmEYYjkm5VkIeJmn31EmW/TkaBgY/TIRUnlP57c+tDvF02pR9Xo7X2MWXc6t07oVSTW73uiQhjIXdFCPR+xLnl6bjoMdCU/ljtJne9y2SPo4XHJ3Hh8bF1M06EGKYyCWU8YQQCIMYXudxPM4Y7GJJ1TS4psFUtRAQcxiZ0KNhYTGzHBtnIcr4QwiD+BHEUMg9ZfxQ4h+b9ZpmfULdSEEupkQcxL8g+VDGI0QNcaCAatqnUxe/KFymURM9kumx0M14FOT4l8i8sRmgtEbbfFTgk+hG7SoxwBuVNByI/tjvngwWYxn3KLGMijLTPp4707VrZQZ/3I+jckEp6WCHQEyBi9Mlv/P+I2wOqGwn34mD90cuxo4J7z3GaD74wft88/KWdr/jnfc+ZkiKu5sbwtBxefWIzfUr3uxlPaKVqCiqpsFVbjo/pTiU/1YSeKihHJQM4itS9vBR0SPncezioKCg/PfhuIhyifG4jK9NGfNL0PWBIUS00RL/C3Rdz7Brhdu4itPzC1brNfViUSIA86SYGPxA2+65u73ju+cvedhsS8FPYZUCo7FNzb/6l/+ck5MVJJHfpxQxCrYPW7796ld0+x1PHj8lhigFEqOplwve+fAjQgzs9zv6tkVrxeWjK05OT2nqBcZaVLnOYojc3Nzx//l3f8I3373i6ZNLnHOcnp2xOlkVw79yLy6xrzkn+q7n/vaOrm0lFa1yaGNZnVhOz0958fI1MQbhNNrIHtdyHksqgShTd7s9MUnhoysc/TfhtxL9N7cviO2exjpcvZBIqJTpHzYQe7SpcauV3AhypjIObIOtKuraoSojs3FDInZyIK3V6MqyHzpCL47mWVvc6oxYqrXBe/LQg3N4nQntA3EIuEVDvWjQRozWdL3EmIqha4lRqo05eULaUy/WmGYl1f5uMxrHYiqLrdfUzQJVLWiMxVkrF2T08vNkdIZaWWwFIUViVGjt0CahQqKxNUkpvAalJL9Ro1kv14QIKvaYxYpcqr7WOKq6JiMz8RpLHCv5RlFVkpUdc0KVm2iKckJppTC2ljx3jcyta4VS6ahjqCAhsRtFKqQ1eKNAW0JIhDBwf38LROrVCmsaFtWClAM6ZYauxQTJnu+2Wzabe5QxWFNhjcbHQNftiN1W3P2bE+nWonD1Eh0V9aLBKk1jLb5ekINi8D3ZNTT1EkyDaSpC1+H3LcpYUgz4HOn3e+LQkSnxfaEnj6kIrsJgIEccYMKAAbxO+ABVsyYqXZr4RgxX+1YKIrbGOgPGCYFKkRgkHz7lTNv3+N0DTWjALvEhsFgtSVgqHSEOYDWGBW3wpEFM2OxiQYxi5KNRKFtRL09IymKVoW5qMrLgWTUNxEwYPFFrmqamMYqYPTqLM33MmbaMfJhKo4deokhiwISMXl5gFxXVcoVTZQQDT9je0PeeGD13N69JXUvwe+ksFGmmrizb5EjG4VannJxekLSjNlLRdxrCEBj2G5wGoytiMlTGUSnAGLx1WK2IQc5RGelxaCPpDsoYMFWJjks4Iz/rhx4lhXSyMSKjTQmNdJmtgVUtD+F8dsZ+OMMHMfBDW6oMzhlCSMQ40PqACpGGAeiJ/Z5diWxMpXr70dNzTjljCDXr0warFVSVyL66ThIlFKzO1+z7Hh8ij07O+Itf/UfuXtyRP1hzXjlWocb4SPYD3hhZpCiJSzHW4qoFeRwdGhf3BOmGl0XEsbRNCY8nFaeEjGTwUjp2WmtU1uisQVvISeLmohju6XHhT1kAZ4jSw0e5CoMj+3t54KbIvvfElSN0QWbX9pI324eE3XuuPnmPf/JP/og6aWLoyCqTfGToJWng7uaBh+sdX716hV+IwZBO8tqKTF1X/M4ffsYPn72HDiXPtRtoNztev3rNq4cN1dWSP/ynP2GRV9x8d8/ebjA9hDby1V9/y/KTBpKHleX9d5/RaEdtLbH3hK4n+kzfduzuN3z7zSv+41/9km3s+L1PPuS9Z1esFwspJiORlDmKH4AYn2k2txvevLrGPMq89+QjTO3pNlvut3seTM1n/+iPuGl38PiUZt/Rb3csn5zi3IoUMv3Qo1Viv/Ns+w2XJ6dEBqz923qmM/7/hc3D/STnTlG69jEWeSwjaRudxm1JganQzqKMnQhVylm6/nGcay9zqGMXXom03BhLdmPXUEiWLu+hRsO4abZ8jKk7qAPGduWxlH4kcuPrCREpJmrFs2VcJI/d2bcj5ErnebSuli0vd5hDZ7Esr+Xv8jERNkddeyEoh7nj8V3V0de3e3T56L8ngjTqmPOhIxvLGMPkSp8OxYqR8MdC7GMhf1MkXTru/qbpNTk6RtJdP8zFKz1uo0Hb0Yi4qKqmQsuvnVBKTfbfmVySUspMf4zlHJFOeH5ry0djRBkFnYo8SmNK6kAu4xTHRafjIosuyo1RzZHGbR0L9W/VhNRUgCDnSc0+dsNF9VBSJ8q1YJ3DVZWMAzonoxKVK+NlhzGGSTpfiOc4jz5ybpT4+VhnQNUYZ8mLZtofupBoeb8aBfihp9/vaPc7wn6P7/YE30u3PefJI0JikqVYb1wls+XWTsWQ8boayfPh/8uzVo3llZGklnuAVHCkWIaaEhcmDwyKn8PhtBJ5eSkUxl8rrB2I/tgJl99L43lfZuzHEZoYY3nN4tUTPJeXaxY6MHQd1Xp9MMrLo2dPmsZwfIwsV2tWJ6f86k/+jLbrUVnMnCsnRazKNlR1NW2zUhpbOZq6wblq6q6/rVLJ071BNjxP+w6KMegYmZuPfqZ0y+WQH2sx1PRnGnMYjUVHZUpRBEQyQ1LsfZSxXA5FJB8lPhttWK/WfPLZj8RkvJBaKQh69vst27tb7m6u2Ww2eO8lbUoZNEnU0sbxyacf89Pf/VxGVlKk9wOh63j9/AW3b95weXnJx7/3KcpoXj1/wW7zwDD09H0HWRRdRmvOL85QKOq6pqpk1DQnUQXHGGh3e375xVd88cXXkBOPH51zenaCrcaRJKbCc07yukPX8ebVa/bbB/FgWK6keJaymGg6xwcffoCyDlc3aCP7QBvxQxNVjqQjbXYbfJB75zAM/8uJfkgBrKXPkLqORMZqRXW6RrEkttKNc1WDdhXKaEKKpbplcMphKoNuLG1M5L5l0dS0vSeHQL1sqOtzIoq225NSYmg7Fs2a07M1GYtVGpyTGU7vJcdTZVSSmLbQdxgUrm6o64acMvb00eRmHtPAsBQjPOWFwGlbUxtHQmEUDFE8AmI/YI0m5UjbdhgF1XIFpiZFTyZSrddUtUibrRLy65NIvOqMGN1ZcS5XahxN0lTW4axFGYVWhuQzOUpkmVJKXj8ESHKxifJcY1QlnYYQAE9lKyrjyEoM8HLykBR9t2MIYnbmc6aPnjor6dbniDVgleHk9AxyZhj2BC0cNnR7YvC4aknSmpwDQ7+TS1grQuzpey/jCM6i7DnKVgSgrpegihwfGb8wriYZiFlT1yes1u9jmyW1dcTB4/cb9qojYsj9QEyRtnuA5GWB5pbkHFGmBlvhqobsDCFm4hAQF/SK7HtICVvIKqooF5CUhbw6J+ZCvFLApCCV+TAgCzCR/lmrcVdPJqlfVIgqQwMho5Qh5kyIHdY16LNHQtZCBCd0rTIVyhkxgUyZYejRUTqnSUE/9KisMCoLcR5avDFQOgI5i9x6aQ06J3rfYWJk2SwJWZF1xpiESxoXe5Lvud1uGLZbuv0tfndXpKtekh60I2qLWZygqxXV4oTFySXNckXjarY39zQLiXu0yrLveqzT2PVpkYkHbF0zZDCAiR4bBkihVOEjrlTIc86EIVLZGoZOZogU9G3AGiW58kpjKgspE/BofeiQpSgz0EpL0WRhLItKZt1FiZXQgMsZ65YMxrPv9vRhT0qqRE6qkvGr0M7wwXuP2d7dsXr/XWpXZJBepH2V0+z24mJvUKxWa9ooMYQvXt/QX3/H6oPfJbc7ssqQAvuhxWuplBut6DJUVSPqkVBi/5QuMrE0kX95RJZFRQykvit1EOkW5DK7O7pGi/Sf6eFAThAoM8GBbB3KuGkhlgvxMIszUteiCMQMQQFGE4JHWzEZzdryZkhyL1SarXb84T/6KWvboFIgxoGsYHu34c3rV9zf7IgLx83+nqsfPuLh3294eNiXkRkpWJ5fnPAv/+s/Zq0bhnbP0O/ZvLzjzd019nLBx//gfZ5cvYMbHP1Dxy//7Au2+oHnP+v48vVrPv/kDBo4v3jEWbNCZ8TKoC/3ewVDPxBioN0O/PUXL3m+2VCtan7vpx/TRI1GFs3Zi+osp8TQDQyD5/V3t7y5f83lR5qrk1OG/R6XAZMZtGK/87zz0SecpoRRmuayor9/Q+9bQhDZ7ND32Aq0VWz7HQpPVJHuof1tj88Zf8cYzc8mAzyYusdAYSdmktiPpEZ4UImPO6ILpsj2RxJ2cN0/dLEmyfrYpZ5m6svvjcvmIsUeyTlwIPojIzsi7RNhGEmJGgXAhy4ahXjkqdOGVAnHbShO8m8Z6Y2d2KlHCWMCwER0tBZJtSopBeWzq7d+S02kcYx+Ky91zHWOoMYkQdkHKUvElB/n7Q9u9MfbOM20a4XKeiJTki+fZLohZzEeLEUCJlO9Q0c/JyEwcfQqMKLWU1rIt9ZGTHntKFO32PLc9b6MDXhRcYQwTEQ9Fy1zLvtvIjbCoOT4pIhSkYObv5JiipJccH10jo3jGKiyX1MsrtoHGfoRwy8EajzL9FExBo47p2PAvdQuxvGEw/kqu/hQspmO30juRsJYzp2/EWGoJBFJmfIZpm2S1KUQPLv7O/YP9/jdltC1hL6D6GWkUhWj6brBLk6oVyvq5YqqkfhgpcfXLufer1eX3ir2iFhdcbCNG0cftOagOCn7YxyvyTmVayST89vqlem1KbWf0ZQyy34x+mg+H1lnxFxM9HwsM/lemnSMx1K+r0zkg6s1DB29jpydnVNVlfxOSYkaty/ljA+Rqm6ICV68eiPxabsN2lYsKklS6Nu9JHLBdE1XVUXd1BjrhGDCZJA4mi5OtzPGNkSJeBhVQJPC4FB4U1nk+XLNjnz/bxa5J91FUVUoRMGZcyQlhU+Zdkh0MRMS+JiIWUiSMxZXV/z0D36P9z54D6WkYBRjYL/bSkTem1d0+x3OWZrFgvPzCyrnSrc/g9Islg2//9Mfs2hcMV8duHvzhu+++gprLJ/9zk+4uHyEtobd9oE3r9/w5uVrfIy8vrnl7NFT3vvBh5ydn2OMkTVXiNPzJuVMSJEweG6ub/jm6+/Y7lqauuLzz37IclGX9Vwk+7G4mEhBZvKff/0Vd9fXXFxesF5JYtrQa/puwIeAcRWnl5dUixXpcDVKEohWxCTqhH3Xsm/FXFlMmt9uKP06fivRNz7jh4HBd2gkaz5oTUqe7INUGaJBx4i2kIJUFJ0TaVUYeplrj4mls2SzpLY1y4VkmmvlUEaMrJaulorqCumca0DJ3IhRmpxlzkFZmWhNRi485wBliTlD8FhjqazktascqZVlVS3KQ87K8jsnqmKE1nc7QvIElaiaShbRoaM2ayojVcaEYr1Yom2FUWCSJiYxlmtcJUS93PhVDCXuz5T7k1TEculA+HaL3z0Q2x3JWEzTQF0j0fQBY6wUThBJYIhquvkYU4MV0pmyRLFoIIcOTXEfz4kKWQ/E4MU0MfRIf0sTjMGnSNWsWFZrjM4EJZVZlZT8fArkZkEXd6TtLfgehcbUS1zTkHUlNwcnneuYgowiaAdGo1JgXde49Ql1XWO1EUfR3U7M05SGeklTFAx+8NTrM0LMxQQIjFL07U7mfbOWqpz3qGICGEIi+ITKAWUyPvagDG6xwtYV2liJfEsJrwwhGlm0tz1p2JLDIGqFZoU1co46awhZs1yfUjuJVhxCJoeWlasATVU5ic3rWjHWswaLot1vIUFVLWiahRj5pYRSCaeAHCEqdsGTQ6apDY3R2Jyn7vh2u6XdPeD9gFuuqZan6OQxKYGXotD2YcOwuyamwNC3eC+kX5HB1qjqAl2fQLXi7PSSR1ePpUNfojdUjAwxsD4/waCoVMaYiF4YIDIuNwefUV5UOGGUlEUx83OVI2SwYYczMueZtKLvWpLKuErh0lhMkkJJXS9InUFhMEqLu6zqYew2WVE3UOTomrIIi5CNREZWTQM5s6wdzXJBVFni7EIgR09IAymDcYrPn17h795wfnGJc0YWVMqI2sYafD+QYyAnxJBlVbO/e+DFqzcMD3dc7V5j3VpUNdvXaBK25N4aY6gWNVdPH2Erg2rWsujwnqHrYOrWF2JRFmw5BqLqkVl8eQCQUhlVKhK4cj6E2KO1RaLB5F6ojS1LAvHuyDmStZEUrKEnpYhSWSIzFVit2cfEziculo51XbPrEz4ZjEpc/OAD/uGPf4KLBh972vsHNrsNu/s9L/d35LXl2TsXPMoXqH3gV/0hbqwbPJuhxzU1u23LfrunHwa2Dxv2fs/iwxM++egTFiwwqcL3PfvNludvXsIq8xf/+c+5yQPvdx9x9fgRl80aG+U8CykQ4igRlfNvf9/y5S+f8/z2hnrp+MGnH/H7P/6U1WIhLtUmEToZGei2LXfbDdvNFpYtn75jeHR6yf6NYthuUSSqlKlzx8M2kkPPslry8vU1V08fUZ08xncdPlpS8PSt582bLT4E6oUj58TVs4ZuM8/o/31COm2HPHVAFpSZiQwzuZsf54irw/el6yuRcHr6ntGgbyRVWaLDpINaFq7miOiX5bwai3ZHi2k4kP235MlHhPmA417xEdEr5E8fE640kg0hi2NE20EyrKYF+KQaKNtwePssqQPI2FDyB1O/nMaZ+HFflg651hh98A04FA1gJJuqKJNU6YiPhm3ee5Fw/zo5H/eVOur+wfTeSmdyUigjXcEkcTOQdYn9y6WYSvktGFmvKjWH0ZzZVRVVXcu8bCnupHww1MuZ4g1Toa3B5kNs5ngcp3OhjE4cu/incSyjdNsnP4jRYHH0dhifA6Vrn2Is7veHYtBb20MpZI3HWqtf8xY4tN4nAfrR/jzaJeWfxutm/P2jfa8UqOIWU/ZLfMsEkaPzlKkLHUOSuMS2ZdhJehExiO8AoOsaV9fUyxXNyQnN+pR6uS7qAnm2paPreiqMqbH4QVEqTG88bc/hWiuEajK8PGzzuA8nInR0bkwd6KNfymPB7Wi/j7vTjEWR8u+2FN9UraTBM8Yu5oQvapU09LyzqPj9j59yQofRmqZpZA7cB0KKUCJzY0xsNju2mx3rk1N22z0Pdw+k4Gm3G6rFEusswXvazR2kWFKTZN3c1NLlp5RAhOznqXBzKCiowzVYrvlcrts8GVGOEXy5FDHH3znav0c4GIzKPcMYM43ThiAjLUOC7SBfnXMsrMRAKi2FsYvHj/m9n/4uKNhs7tltHri/u+Hh7k6K7c5yenYqXi3K8PLVNUOQpIIhRGLO6H7AOctut2O/37F7uOP++pqryys+/OGnNM0KpWXttH3Y8vVX33H95pbOB+42Gz7atjRNg6lc8QUQMWVMcVImee+5u73j1as33N1vaPuBq6tzPvnwXZyWgknwQ1nbSSe/3W25ff2K0Pe8884TVus1zllSTliticbgfZCio/dUSzUVBVUx74xJikAhJvZtSz+IQsYUQ1NjfjOd/+0dfRXFDLqqSDniiVTaEpXDh0x2C7QVCXpOEVuyT0UqXKG0IQ2exlWEHElRset3OAXRZ6kSxUQs5Nsaqc6YDGjpNlI5ujDgSySL0RZDomkavJIZBpQlK4jKYK0pEiyotMaYhpxlpn262QFoGFIgGE1tF5iUReZklGTZq0pOdGQ+2eSILfLmFCNURuLbMlSVxJH50OP7vjhMiiRlfLD5EAh9y67fsX94A75FR6jWF6h6QeVqkfmHPTY9oCuHqRf4fsCSMYs19VJDEInvEAKJzGZzg797JdJkXePLDKFBFxPEmuXpCQlFiIkqJFZVJddrjOQMxlaQM1EBRmGVwTWnnJw+ZohB4onCAEi8oveRkMRQLyuFLhesqxYoY6TSaQweTbvd0vd7ch/wMYmMSsvx0FpD6mXRlRMnqzX1YomzlrYfSFoztB2h36Osol6tpGMaJaUgaU32e7AO51ZSjGocTiucM8R+oG13EAP1yRm+zO8MAHWickuUBr/foHPA2lOshqV1WGtRphx3tywGTIqMhqHHaUXTNKSY6L3HNZK7aZQmK6nyVzpjVCaFLDP5jeWRbSBlDJIpnFKm6yPb+1vpIqKmQk/Y3pMN9N7D0BHjQD/0hP2tzGSaGnN+jtY1SjmqxRLtKhbNmvViwcJpbJQumEqmnJdS2a+RGTSfIRcCbLRm8J6EEv+DFFDIzVrrTM4Bt6il09XuiUocY2stVeluGNBGEYJjFzPkiDGamDP90JK7AR0TplmStEIZMUu0TY3zhqytJDKkgFIeZZwsbIojPSmIQiYkuSaVptGQa4fRDViDQXF1Yrg8PSEunPycsbKIUJmIEpNObWg3O/abLdevr3n/6iNefveS5Cyr9RL38Jzmyaf4CKG9556MrZup63d2dsaqqTEmkp2YuUj0oLgRS9pHmhZiWRfTmqnaT+lMBUCiM0cnnJjKeJbEfogqJccyuyuL6gQSL1mWeCRRHGlrUNHhUydjBlnRp8jpoyWNdZwph297NvuWx1crTFC09xv8fsftzWv2tLCs+fDjjzhfnGFTon/o2bZ3vHrxWpRHKdAPnt4HtHNFwp64293jq8i7n7zP1ck5K3tKHCJ9t2fYD9y/eeD2+S2cZp7f31O/c8qPfvIJJ26BDr50EGQmL/hY5qQzD286vnvxhngOj56eor/MXJ6d8OT8ioVZ0u16Xn73HdvtBlsrbt9siMvIxXsLPrh4RJUd0StSt6NKe6nIY9B+gNZze32Nu9LYrLi5vebp1VOcbQhdpG17gve8ePmKeh1plGOxqFjUC87PLn/b43PG3zFieeaNhFqN3VUtM5aqdPBHye+44BwJ/dQ5P1rMk2WBHUqRaexWSSdwoluF9CpR2U1Z6Gqa9T3ElKmJgZRPV74vXUr1t3ReyqJbCgyHSsAxucn5QDqnLq8Ww9mpwzr9+ChBT0cu/WM03OjoHg4eBLH40IyvPnaCzYGkjiaB2pgi96d4kRWyVubCh7ZlaPekMI5lyhpNWXvwIygz9lOBYiRa4z7MFJIxfqajzvJEBo9n5qedOBFdrQ9pAsZq0EqebX0/JRZM+1IrtFFlhOJgrqdKp2zcOQeVRZo8AMbRhFzWUmP3W47DWASQOv9b7v9KHaKUiyI0j0UZjt50bEuT3yJTx0R/0mEc/RuMH+OI9ebxaXH43VFyffi8xTehqDCmSMKjzzaNToQga5hhEDVq9NKoqSts3bBYrVms17imEW+msu0+RtrtQEoSfTdJ9JWaDBsPqQJqumYO18P4Ucp1UY6D7Ct5Vh5UNaVQM+6JcbxhUmKo6VgYV4tZZ/GrSEpjyranYjo7KR9G9cz0B5FZGxltU0Z8rYx2fPRsxQePztFxQGtN0yxwriKVG4J08QP7fct334q53PnFBTfX1/TtHqUs3X6HLwbCMXhy6MUk24hEvHIVzaIWw+NSfJyUGelA2t9SbuQkxsBKHXlDHMZrpqIj4/VY1r9Hl5w6upuJmmT0HJF7hSrnlR8GYkjsVKaPcHq2wjmNNeI9oazl6bOnNKslbbvj9vo1d9ev8d6zWK559PixON1rhfee7cOGl6/f0PYi3xcPuYw1MpLVDX25rxl++NnnXFxeYW1VFAqZoev56stvePHiDZtty77rUU7zwQ9+gKucLM+KT0Mu99ecRN33/Pl3vHr5hso1ohxO8N47zzg7WYkRaggSM93u2dzfsdvuyDFyfnnO5ccfYq1l6DqGvj8aW5JjNXhP3jyQtZHYaWVwdS3m1ErMtbuup2t7uaeXe6Upo2S/Cb+V6Gdkkdw0jurklBAjxEwcPIsGlssltq7EfTlKRrhCEQaZ+X7Y3IqDu1vQIm6kpMxm8ITQo2KPThpt6+JUmlCmIlkNyaOTLpIemSvLIcssUF2jyVhbiQw1SUewqg34gZATiYjJRRKcRf4pFXmpXMak0BlM6RjZqhazuxQxOeHDgI89Td0wDB1pGEApApHTxYncU7Qipchu08oBU9ANko+dyThtaNs9McmMCf2OmBKL5oTlxTu41VocQZ0lhcwQAsQISslsoXYSqWA0takkYz5GvB/QUUYkHl8+Jlw9JcTRJyDjlCLHSFAWnRNWywUZM2QtcjhFxnsvBnjaEFPEKYVxK4Yw4FMWgzcFKivWzRK3WBMB1/c0lUMZLQZxSmOTRKSFUkxROeM0xGZNvTghJaiNImmpILbtQN/tSQmqxRKUkY7xTjpuKWVWxrJYLoirFXXZRxmIviUEj1IVul6wWq7wPjJsb1BDZEiJIcnFTso46/D9IOZt1lGti1QxJvabB6JWGNOw324JqWe/31NXYpQXkpIqqTYEnzChk/GUuiGEnqwMi2WDMVrqQmTqytL3npTlseoWVubNo6QR+JAYUpzco8Pg2bR7lFLiB0FPSCWSxI8GNhmlHGbZYJZXEvNXLTCuwVpHrWDpFLWDvvfk7p79oIk+yCLYWkgQh46u67BWYU1NxKCiuN3nnIvRlEUbVSSFUcwUkTkhpy3WVaTlil3XoZVm0AoVPcpV+H6HKeMLdjSuUpqsINia3b4lDR3L9RmLpqayrpjjGCT5HdIgZiMqRYzV6CBKjqy1TFOEINGExbTTWUulJJu0quAnn77Pk9MTYlpT1Y6qcgxlFlcpkWzFnHh1f8/Dm2u8zlyenvGnf/YlShtO1isWVWR4+TOcdmS1Y1CVFCUqxzD01HXD0PYsTk/E1LArLt/JE9MgiptxcTEt/sXkU2uDyNkGWQFyMG1S5cad0UURcpi7ElmgBYzM0quINlJQBYNrKpzWEt8XOwY/EFJk0VScrc7wSVHFiDKG0/Wa87M1Ogdu3tyybXfsTc/jd6949/IpOltU1PT9nmHX8fKba759+UpIcs7sQyAD3nt859l1LY8+fJeL01NW1RLlM6HzDN2ebr/n4dWGv/wvX/Jn3/6Ky27FvoL//X//z/n03Q9RPhKzlwdwUBMx2d91vH59y4u7Gy5/9Jhn9RXDdcZZi7OiZIg+s3/Ycrd9w7Z/YNGccPqDmkfPHnO5vMR0A74b6O9auvsWm7YkbclG4VOi37d889V35Jg5W5/z8sVr1s2Syp2iVRLfFxM4vzKcXy65ednhq8DuvidZ/9senzP+jlE5GeeRhdeYMa84ZJTrci8ZZdYHae0wlMzz/PZrxpQl0qr3xaz3UDSY6PrY1RsVAcUYc5qDdu7QfRm7hwr+hu/9r3fCFJN64G/DRNREC3p4gbH7mTJiZ1WQR2XBIeM8jyS/OMLnIm3PZXGpUGjrCoHUR3+OCeNY+CjkVpU41aynbVCIMVvdSFdRxrJsKebKMRJiz8TJ4agzng7d9XEbCzeVTRs7vcf7RgGTpPjwj8dEWJsy0nC8v8dtKSqJVDqYmUNx4dfNy/JEmlVpcGSy1iIZT4ZsM2O8YjoqABDCW53lURFhiuGiHrug+RC5Rz6UL4RkyrGPKR114g//jsqiLLQGo44LWkcn3Xii5UM030T4y76VqLfE4IM8O2IoxnlJfB7KG44kUKHEuX+5LIUgLWMRVVXWr3oqLkXfk+KRIiIz7e9RVXM4bkzEX02FseOyWflu7K5r0c+NZ4qMMfyawmb67bIPkOOkxnuJNqKgK8dHiueJSIKYp1GBzLESohw/Dvt67KGnnMkp0DjNxXrJsqmwqpaCgpXG5KSKiLFExg3s9nuapsEaw+3da0KMVLVj2VhWqwU+RLZDR13JukZ8eqSjr6f7RCHx6WBuOe4HxagKKdff5CdwXEw7MsOczsMsXf0jxYUoqQ4RjGPxcSSd4+iIA4a+I2TwIbPrPI8vljR1hdaynks5F6l8ZL/fsH24xWjF5bN3OD29YLFo0FrR9x19P/D69TW//OXXtJ3Mt8v9LZJxJZpUsVytOVmfsirnp9KKHMUM7+WLV/zVX/2Ch82WfTfQ+8A//a/+mM8+/wSttaicyrEZYyX32y3fffMN9/d3nJ1fcnZ2xVffvEFpxTvPnqC1whevt6Fv6bYbcgqcnZ1ydnHBcr0un0EaYyH40sUPeB/ph4H94Im9p4uJZrkGpVifnLJeS3JZTIl91zEUpZRSGqM1rvjF/Cb8VqJ/cnUpEmzXkDD0fccQB5rFihwTFoNJhqwSOsKwe6AdBrzv8LsNoe+oqgWxWtD3HYpA1o5cbgohiUNoVkiOeoaqNlRVjbYrhr1UDBlaUnLUzZLVyZraLUkxs7u/Z/AdVeWo3RKfBrp2j7XycIlSZhOCpCSjXGkxNQjlhNZKSfcWwHtZoBuLcoa6NjIfP7QweJSzmJy5f/2KoW+pjEVVjZBhrbG2orIV1lUMOeN9S71YgHWkocednaFtDdrQ9z29D1ibWVa1OGkbR4wJ3/YYnUixlweyNbTKS8a9UWStsFoTksf4RFMvZSZfaZQ19EFMzESO71FAZHRj9cQgKgprFEaZKSedlBn6PaZyOKNZrFfYqprkJyiNUxm7Wk3VdE0ScjwkmhqsrdBG0/tA1gZbOxZZEXpPt78nEVFKU7ua1cUlvV+T+5bkBwwKr6SAY6x0grXS4iJujBQwwkCvROpTGwPG0g4D3f0NYejRg1TilDIyhqEVscyV5ZyoomLZLOgztLFDr08hitmKqmtMEilwNJqcNYvlkr7dYUnkkNiWh6zVJXE5RfoukDXU1tI4RxrEmVylgM6ZFFqGkBkCWCNKlb7vCTGVSnfFqlnSh4gq8kdtDUbnEuWnqFYrKlNjijRq4TSNMxIfpRJpGBh2W25uHggxYGspamRjGLoOq5UUHkJEKYvPUsTIWdQZVVWTijTd+YAt0bcxRImjUrokNASCHzDasApS/KqtVJU9CpoVoBhyz+A7Oe+rmti1NClis8iyV4PGEUhGZP1ZiZN7X8xoBj+Qk6euarK26CyGdDpHUd04B2aJzp4wBLa7PSF4rs4qTpVnu9myXC2pnEMpRVXVdCV9IDuL9p6rqyu2Q4/dZmrjePH6mt1+x/nVKf/sv/lv2N3fs7t7w/VLw7cv74nBY5ViHyJ9L1m42u7JVuF7TwwdMUtKhDp6TgohMaX7lYhDiywhoixQyr0o5ykBeCp6aHWIT0plxtA4J9fjuIJJGVsrVssFKWZ8tcBv78TpNWeu7wa++boDFakqxb7rwWjWrzZsH1q2oaerM59++iMul6dUSc6roeuIbcvufsPPfvE1v3q4JmlZ4Iwzw8oYXr2+5eTxBWfLc2pVkXqJJYvDQL9v6fueb754zn/+xc9oc8f9NvPsoyf84z/4fZbU5OAZYiT1Hb6PPNzu2ew6vnnzHHdl+OQfvsfVyRP2LwZePd+SlOby8hT6zO3dHTev39CxYf14ydXTS06bNYv6DB0bhqQJQ+Tu5R0q3NDYxBAVbd/TxkTMiTfffsvt9o7f/ewzgu95+eYVTx5blDJUFWireXd1iVWaTY6QBkLyaJeY8feHd957t5A0MW8KpTudjrrpuXSGY5LIqr7r6NuO4MO0MBod7ceFeYxJlHpJlDW5KNQYVQD5wKxkUZ/fWqSjFNmYiZzAr3N3+R35dnTlP+66HmqBUy1gIihjF7V0fYN0dcbowFGKTVEXMBoDHnXjxoKjRNIVAzm5ZRcjWD2NPozznm8R6InEyGeQvOZDx3TsiltToeu6uNeXwsj4GozEJk7RpGO3+O0KiCpN7LGTy9G+P+zDX1NcH377qNMt23Mg11odqhLyWUYTtFAk9MUYLeeJ8I9RheNOVIUHTQKCfOjeo0atVSGsKZcZ/6JAKfdqFCQlkXoczdBPcvLxuJeG/vRQGGnkkfIhczSTr0wpqIyKleNfOzojJ5n84X3Gj5akC1Q6xYqsSycYpqKEsRbnRPUoiRb2oC4ox9d7T7ffEfuhzOgrlConXRktm+bGS2d/8siQJ+h0jqlx34z7tZyfMnJT6PfUZc5M4TXTua8P25kjkzFmOQdBka0DY9FWmjqUOto4ZqHIk9/WIZ7yUDTRyPNwGk0pEyaVk3FhHxN1JYUEMZsssZJ+wMcghNg56rpmfSJmfTfXN+QUeXRxxh/+4e9zdXXBm+s3/Nmf/6Xwh74TdTFSQPHDwFiYPBgKHmT702cdr5EsquqcOTqnjmX+0yVeDktmtC2hNLHUePmqcV1wKNi8NbKitbjm58S2Hdi3A5WRc3cYemKG7XbDZnNPShlb1Ty6eszp2QWVGwsCntRmdvuWv/yrX/LVN8+lOTreIpQ08Oq6YrlacnpyQl01JdnioCy4vb3hm6+/5uHujhAjmcyjxxf80T/+Q+raybmZFEMMDH1P37Xc3dyw2Ww5OT3jg48/xlUNm82e7b7l5GTFo0fn9H2H72WkNqfIycmKi8sL6sWicEwxsfYxMpR42GEY6IZA13s2u5ZtJwWRS6WpmgbvxXVsUcwJ5Th7chq5q8GVgrO1jt+E30r0z1YnqKzYtp08VBT4FMh9kC6wVRgMKchsagqBpDLdfiuu/EtHriq8NahmJVUzhUgW+h6jDM3ZKapuyNZhcmaxWJLJPNzfow2Y5ZKlPQdXy+IyZXbbB3Hlt6rM1WuCDkBxkS1Vf6sdztUEpcrckFT1c0pEpabM+lgqewklsSdaywFpO9pOnB6Nddhg8d2OPiDeA4249a/qBlcv5VxP4ujrVKZyFSEjCQEnFQot5nHKcLZcMgyyEMm9lxgJbRiGjrbfM/SBnMEuV+Qs0iJXNSL3HTwRj10usNqQcsRUTiqQg3T7nbWkJPK8h809PvVk42QGywcZN3A1QYNRRboYksjVMbjiPTDKm6yzDBlUiJAjYdhhtCWGIJ2NpsZWFclnYvJYYyAFbJAbj6sNuDPa7UYk4X0vD4+Y6NG4xQpXV6jBi0mhH0oMkiIHj05ietj1LV3fEXPEZcXKOaoMuaq5ePR0kkRlRI43xMhucyuLIKXYB8/QReq6oaocOVmMKTcwFD4Y6sVJcduVuRhlG3Z+h1lUrKolOmcqa4ubq6Ep7qCohK5rso+ooSfvH9i2W3btltotsK4ixECol+yHSDaGRV2L6mJILFdLjJNRlSHIjfrJ1RMkvEceuA5RaGSViIO4u2c/cP+w4e72DYPfsVid0NSW6DsWpsE0DV3bE4eWrutk32RVusGaod2hmgZtGjyZfVG12BzxmdKVdzjryjnl2XctedhilRavAiBHT44eUzfs2w0qB4hJ0hF8TzYZZSpi9OhvI1ZZ6sWSenVCzrCsF2Ar8U1wlZyPDCycJhNJytH3kcGIT4hVkc7v6LcPPH7yhDpZiBv+/E//jOXvf876pMYqiMMw5WLnKF2WYfAweFZZ8+yHH9He3fP69paQE+dnJ/zok0+olOHbb7/h57ni9V1Hv38p+65IENt9R8z3VItYzrlweCCWrsw4E2ysxFamKIoflWTsJ0dZAaajLo7WMgqVgWxF/qadpa5kNs0HT86gJWICYzSL1QpXrUjVKWkZ2ezuyX6PInO/62ifwNnKcLXWnJkaWznqtaOvFeeX73N+dsKprTEhM3gxpmp3O7YPO26uN3z5xbfiwRBjWfDIUuydT9/jH//zP+TJ6RU1utxnEZK169hudrz+9o6v9g88+ewpz//8msXZkmcfvcuqXhC6AUVg6Dy7+1tQ8PXzb+gWgY/+4Ts8u3iGjY6wS7y+ueXFwx1PfnjF7332Iddfv+aXX35B81jz7sdPeXr2mPPTxzRa0lZ8HBjanm67J1aZykf6qGhDpusD+8HTK8MPP77Cxsj+/g2Dh83tjkdPnhBF8MR+07NeGjofWJwZqtMTdFwB/W97fM74O4YeO8tK1EaqdJhlzEiuHnFpLnL8EAjBCxmyBpVHyf24WJezOOWMqyp5D2MkJ9m6ab5aTMLk+TGSnUNLtSyYM6X4XVCI369T/mNmr6b/PJDaX5f1T/PRRYIfhgHfdbLe8p7R+M3WNdpIBClF+aTKx5jW7cdd7zLbrzkqfJT3muLk0kFSyrQlRY4+jkWXjqYufkpZqZL2wtT9HeeAYywpCSkW4lU67ubQSWXqDx72y4GklP0unILCuw6k9ri7eqRGGMlxHI39xrnzcf+OjLocE11eLxdiM45myAkm753zOISV5bOXsY8x9YFxS0rX/vBZyruNCobj4gVHn3/cA8ecS739dSywKC0L/oO7/Fh8KCMcOYsfTQwSnToaWo7jAkVxIcbAduo6y3kxvr+alAjaShdxHAOIaTzOYkgXho6hbQl9L40IxgjD6qBmyyW6LpRUgzBGZ5fnayk0jIUZURDIc3PytkF8qsh58piQbQqHQshkRnc4H0lR/uQ4nl5SIDEOXdWYaoFxFco6lD7sD2vdIZrSiAmxLnPocap7jcc0oUjc+ZYvc8t3j095fLpkuVxSlUJHP4gBmyRFCMFsmorLy3Mgc3N7S4qRx4+v+J3PP2O9bDg7WfLyxUu+/NVXdPuWscMevKfNe2KM2KqeCp7H959J5aJlzSCqp/HTjqU8OdYjuT++e02mnFOR4FDEGwtp8tVM90il1EREc4aQEm0f6L0ogJfLCmsVfZDRb+dq1qcXrFYnRdkgBDkF8fvYbDa8fPGKn//VF+z2/fQ5lZKiwXK14OOPP+Ls7Iy6qrDFLDrGhO97rl+/5vr1NcEHmrpiUYtB56effMTjJ1fTPTymSLvb8fy7b7i9uWa5XPHBhx9zfvUYlCaGSLu/5f5hy8cf/YDVsqJt97T7HeTIO+885dHjS+q6LmO/o9IqMAwDbdvRdj390E9Ef991dF0vJoVRlNZBJ/b7HUNpmPkoYzVKKVF11DXOVVRVLSPYvwG/lejf3dwy7DtizjTWko0m5kTynjgEjHViPJG83PyD2P6LlGhZciulY5nKU0dlhTYZd9rgqgXNYgHKQBRDqpRgSJnl2SVLW6MxxOjxORJCghzxOlCtarqukzi4DCl6trd3WA1mUcvOsgNVCEQ8ofPFuiWzWiwk2kNrjF0S4iBGG0inPw2evtvRp4EYEe+BypGspa4uqY0Yiq1Xp6SIKAGiZ9/u2G0epPrnbJlnqwha45TCNksiiWQdeJnDdasan6AfAppMvVhQrU6mG6ICcoyYCCpkEgFdG5p6jStSxq4f6Lc3XG8e0MrQWEur5EHS9+JvsFivaayYqEU0TV1hy0w9MVE3VubuVZKiQ5KiRdYlOiQExtiYNiS8shjjME1DbUtsoNb0MQjJj5GQNTGByXLTc4A7WeMj+MGTDOicOVmvpPOqoVeKrk1g3CQh9FoTQ6CuHEu9RI0xMRj2vpdIlOCxwRO9xxkxXswRbPY8vbhEK8W264gq4qzGWU3KGp8kD1NZJ13n5YKUMq5ekFLEaomIvDp7Wro8WtIoohglGQWZxKKqMDmQ7u+4vnnDQMSazP39DVZFNtt7MA6RflmydVRGMbS39IMn+56TRY22NVW9YLU6pVkvyaElOoczlkoZ+uDpY8IO4tg6hMzDwwP7bgNVw2J9igoDRElI6Nqe5WrN8uSMtpNCWIqZ6BP7dkfoW5RSDBnsqsEt19BLF7bzImm0MZP8PTkNEHqJfQNyVdFjUUOPL0WOaDK1q2jqx/hOCnJDv0c3TZk5UtRF9ZCSZtu1tO2WarFiu7+XRfXuGp3KUtXV1MtTquaERb2iqjQxwtD27GOHjoOoNu7fsNk/sI8d6w+veP+Td4ibLe39gDEVbSeZ2973VJXj+s1r9je3fPnLX/FHP/invP7VC56/eo1qHKpa89Uvv+ascew3PSCZ9j4GBu/Fw0OLSoWhxzZLtFuiqYl9K0ZXSuSJGsQYsm7QyuJj/1aXTh6WpWuitXRLtJ0W2sZJ/JDThhwCKYutpirtJVMpFouGylh8u4UhYt0Jrr5gt30t3Zu24/XthqeX73JysoCU2PWe5WrN1cUlj04uqJRCF7VFip7oe3RlaPeev/rrr/nizQv6FLFkFpWlcRaj4B/+05/yB5/8CBUSPknqRvaB3f2Wb754yV71dCbxB//8x/zVv/sl9T/5Xc6bE07ffUKjGrwfGNodDzcP7Pa3eBLLD2p+9MFnLM2aRi/ougHf9zxsNjz67Cl//ON3UA8tt8OWx59f8oMPnnJ18gyXDMpr+jiQc4Co8d3AdrfDnDlw79DfvyH6gdgNpCSLSb/fs7hqeHZyim0abm53+LZnux1Ynyi2tx2DUqwvzqhjzfJkRfsgSSoz/v7w6rvvxNendIbTUSyeSIHVobs/fX8koB+7gWJUItJfpWTEqJLFtnFOYtmOiOUxeZran+NVXJj02M2byG0hFqPB2Ej8jwnrcdHg0M09/My00J4W05IUYJYL6kUDHLpmMg8r5rbTPH4sJCgdvT+jh4GYnlpjZPuNmSoDY6RVTIfc+2nml8NnHDmYFExGEiWvkRmPUZxIbSqeR9Nc8/jZx+LL9IrlcE1En6MCyeE4Tn815cEdfS51JLEeO5bj8RsLK1mKRtKxLpJnijy5HOfxv6big8qHNy5FHlM68xMRmrj7eFyPJOhjASEfzPymIsJ4/I/O1ZH8j7sil+2VbTzqno5jqWUTU5Fux6HDdy1DuyMMffFYOTiqj9IIpQ0YU75atDIYa0o0Xy1reWMhK1LI8owbz/1C9GVmfyD6njAMRC9NG3JGm4qqcRJ9OEWPOWkS9h1d5wlDLwbTCkxdYypxkBcpvZjUkhKkIA0oYjmfwBiFMgqx7VXl+lfl/D90tlPK5fdNGYUbrzRpDqUYyP2e6DtZ52gxDDfGlIjCButqrEto4w73l+l9SpEsB0mySYHl03dpmgW7vfhWjAdz8J5R5XJ7e8O33/yKEIKYye333D88yGjwbsf9wz0pB65vb9nv9zLyWeLUFLKW8H4g5USjFNZW5Xo4kPBcyLA1pVBTClKT6efRdhw3Kw4FwjzdygBUAsyhOHBsfqpLbKTUzzR1JWrUHGDf9WzbgcV6xdPH57Ttju1+z3q94uT0nLPLx1jjRDWrhKT3w8Dt9Q1vXr/i4eGezWYjozHIdiktCWp//I//AZ9/9kOckVHQnDLBe3bbLd989RV911G5ipOTFR+8/x6PHz+iD4FPfvgDtIFu6PDes9s88PL5C7r9nnfeeY9n777PYrkuBUPxOLm7u+f8dM3nP/ohy8bi+w5jHU+fvsOjxxcy3syR+itEaTjFTLNag3Ho/QafdphiBl45h6vE9DsrWTvmkITcG4sPQRQgxrBYLlguV1RVjbPl+vwN+K1Ev4uebGT26GG7IYeOsN9C35PRZGOLt7REuOUoYm5FJpWMUKzFugVudUasHSEkmrpivZYNTRq2dzfopFidnGKMxQI+eG4fXqNzZtksSEqXYkCido6MprENKUT2u3vC0KFzJuiavu8ld10bunaDHyIxJ3IcqFdLfAw01QJXreTOqRHTmJhIoacfOpRWLN0KpS329FJmnMuNPw49IXge3ryRCJmhJ/tOxLhDj9IWVA1Di8sarEMrRdW1NOslKNi3HcZommrBoq4IC4cPfiKQ4wy3zpmkZUbaWotWklXal9mvfhjYtjtiHLB1Izfxyoo3QE4ka7Fmia1qMFYMD/2AXS7RMaEiGOeElBiN1WJcppwqkX4SS6KsxKhgFHVV0QC2SOMlAi0Tw4DVMkWcjaFqpEoZYpAoupSxxrKsDdmJvEiVOSNiJPgBlYsbvVZ4pVA54kMHytB5iTE7W58QfJyyzFEa1SyIWapfKRmZq1cJYyoxjswRlTPWKkIYiFGRlQEjM0tWJUzt0DmQjEQMqtIdahZ1yY+XLHJttMzDZHG/XORMe3fNze1LdnevGHxH1uLamYFgLWEYgIQyMltuXY1fLOj6TM6GlHrau3uS77Ea6uUFtj5BNyeYqmHhHDZGumEgKIWyFX2I8l7Bo1wtCRDDTqIKvUat1lSLFUMO2FSzcKesm3OiMvioCApCREzuksjau/1O1jLVArM6J7R7GfswGqsakcoqGdEwuqbSQAzE0MtDV9tiyqlYnp7TtnvqkwtC7zGuompqUJFeD6RuYHVxTlCZqm5w63NiNiirJfc6KZytOa0q+od79tsNQ1WBrnA64XLg5vo76ipiVo7BDyzXC/67f/VHvLNasgk9X/zyC4yqWJxest1LFywpxbDveP7iDcNpQ2UdL1/esOs7Kp25eXPNF1//itpY9tuO6zcv2WweCN4TYpCuRln4xZLeYGxN8uL6LyZOsiwzVkh+1aykcBZ6KfapPJmEaS1zpFO8UEYWNFnkibHdE3VxvjWOi6Vhs+9w9gSnDSkk+rgvtzKNW5ywPn9Kd/crsh6IMfLi+oHzyrF2H3C21GQGHr//LhfrJbWCNEgBIviWnBS+C7z86gW//PYF+kLyk11TQ9+SkHGn83cv+K//2T+mUaJKiX5gc3PNftPy+vqWbhl48uET3r16l7iFb89f8u6zc7rrgdPLK3wfCF1Lt3tgE++on9Q8Oj/nZHnGanFK3EbaviX4wP5+z6vNjs9+8hEnwbMxmdP3TvjBO4+oQoXyGmtrfPLFsd+TomI/DFzf7Tj9cM3jH35O2AWun3/JzfNviA8Dm9t7Aob3nj0Cnxg2W2LoSbFnGBQP9wnrHIuFQ+cVbqm4PD2nNbDzs+v+3ye63Q60dFelGFXMwMZZ1DzSNbkGU84HkqTESCprkeRr67BVha2r4vtTTakWsRirTZyeIzJ2RMrG95m692P3dFrwIx1HRn4qregpmq+MpCljypTAweF7fJOjb9HaHMYMy31izN8eOomiikFGFHJxAJ/c+kdirUtGuRLC5YwhGHvoCGsxyzPWYLMu3a00kaS3jNkOlQghBjFPJF9mhItPQC6SfzXO8I6SXsPkEF+KM1MnfiTZI1uYCisctn/cr2NBRuuSAX8ozLxF9EsxaCQxIF5C8vcaxjjB8v4TU5l619NfcvgIioOeefqob/2k7K6xYMBUkDBlgTAWUKbtVkfbNP7vqAZybCgp9gOqkDY5F0Ipnvb7DcNug+/3xKEnxQCl3XVQQehp32VVnNKVmQpYIOedqRtM3eCqWhR+U6JAMckbRyCCjJRIQSEWFUFR0RojnhaFNOvyvIs5y7UcovxeFJPizJGsPMn6jZyIgSnmUZUDpd5KJCjbNV2y8o2MJhzOBVFqUM7ZMWKSUoASGb+yTtS01uKKUZ8xkoaTEqQYSkFDEq7ks4cyjpA5P1nz4Qfv8ejinP3DA/3gCTGSgCEMhDgwDB0vnn/Lq9eveeedd2T0tUjGIfOw2fDLL3/FYlHz7bffcH1zgy+m4GPBfzw3YhCVBKPvRiHBKsu9ZDTVHGfWFeNAzNG+ngqWRwWpoxGA6VQfj8HxOVmKpNNtodwjXdWIkXcYGHziu9e3LBcWoyKV01R1w+WjJyxXJzhbybUBhBgZ2pb7m2uu37wiBRlFTlHGHlOWmq3ScHFywr/8F/+U9XKJUopQxq5v3rzmm6++ImV4+vQdFoslvuuorJU8+u2O1XohEesh8XB7y+bhgdVauvinJ+cYa8u9XfwUurZju9ny2Q8/5J1HFwTfUrk1J6drLi5OZUxDZRjvfykxDJ7N/T1KZdanZyxOz1h1J9SrDXe3D7TdQAjt5BfnfRA+XdLJQpI5/pQSp6ennJ2d0zRLibk2MpL+m/DbXfe3O3LODPsNqd8CQq6a5YrloyuycfS9xH5ZlajsAp8SWQfImhQDdrGkqhqMkgtHG4dTioVt2MdA220I7YbKLuh3WyKZ0HZkMsMgsw57uwStqRY1dbXEbz0pe4mN6zsySR7SShOiyNlyiHSxk8pmZVjWYshQVQuqejEtxCvjSNlKrFz0Eoxl5ESLSmO0xaOxfsBYS/CR25s3+HYrOa2A7ztQGWUN9uSEullTrZb4IWCjRKd537Hd7wg5gdrjhw5Dwtma5fpUFhfGEGLC1guprCYhmzrIVZMK0ZAzPdGrRKrESdLaiugHiIGhl+5qYyqUsUVm7sg+kHzixDjU4Om8R5HRPUJuU6KuGlDQdx0oJLqhuOSnJKYvjTXijp7lzhlVmWMqw1Exl8xvHwFZOISUxOQiRWLrUUnGBIacZZRjkFxzZTRZKwyaEKXybMuFn5LMy6risKqtwfe5uJsmnLNcXV6W6p5C5STmNEBWYvQ1hEDtHM4aiWIrVcgwPmiMLL4s8rDQKlMZUyLfFJU2nCwWpL7n5atvub274+V2Q+9bVGgJ+3vGobpspDiSeiXVcmWEWTtD8D3WVKjFGbpqaCpHaHtCtyf6ljZbKcTsd+iu4yGK43yyNSkrjOqonUGrRFVbYrfFb3cEvxMzOGMh9qgQcM2SmBT9kCANWNOgUOiUaNyC3vcSN5QSafBkBa5aQhqoakWtLFo7fM60uw0x7NHdhtjveWg3UGLeUohlkehEcpUz2dU0p5dSaHI1TbOScY/Tc+La0O73NCZhssYMgdPTE4ytsPUSH8TNN/Udef9ArSK679jv7tl2O/p+wzB0aKPZ3DmqZc0P37viLERe/epbzMrw8Y8/4eW3r/kv//7f8cGnn+LRfPGLX/L6m+e0leb/8K//OzbfvCKs1uhKxj66FHnwkfNqwcPujtuHe0IM7Nq2ONlDNFGSPkLA9x3arIRYlC7OKG00SsZfwtCh0OiqotI1Y0a1ocxFlviaVP4+5UwYxJXVl3uadRW2qrjvg3hsJE+KFtesZbzFSmFMGY2pF5I4kkTGOPjAzWbHl796zoc/+oj3f/f3+fiDT6mTIfmeECSer9937LZbtrcdX758xePPr1j+akOlDColeh+46wcGH3h2csLF6gQVM13b4vc9L756xX3Y4B45fvfzzzmrL0ht5n674enVKartefH6gWc/+YS+bUmhx5vMkx9+wOXpFbVt0EmRfSQQ6Pqe/d2ON6/vudu2nMTEkDPvvPeIxwtFQ4OyYE0i+VaktVmRfKa93/Ow6fFY9p3nYbPl8uQpzz7+Kc8++wm7fc9XX3/Dm9tvCbUVo0jviSpD3GPNitvbW5ZnGuVO6QfN2hqaqsZgYDcuz2f8fSD5AYyRLqwy2NpSNQsOs73lzjs2VqfFaSF8heC7uqZqGqqqQllLzKoYo4rUP4RQyHHpeE2L2+PjfUTljv46F+L9lnO14kCirUUrK91SY4+yyQ/jBEIej7f8sHCeOu5JDKKS9/jBl4JHabjkw8LbGINyYxfxUDgYZ6ljf+jKju89dgFHl/yxOHFMxKd9etTsk0V/UVfksVudys9SMszHn8/AWAw53qOlGzgN4Y+1hMMoVEYMmJlGKIqpoDrMkR8dELm3jpWbwy49ZovyrFJCe9L4A8eEfWT+5cvEuycyflQDyofaz/hmh0LPVB2ZOqYjoTqqK0zHQXQOpQCsxzc/Og7j8yIF4tDRbh9oH+7otw8M7Y4ch6K0SEcHqew7jo6tNqAzijJGoUfH9BIDuN8R+w7vrIxUGju506PElDDHWAwJD+SecVQjRXx5fzNU8rvWlLGNcm04GQsgW1KIkxHa6MOhlERET+fVNF6SiH7s9Jc/UYwoR+8bFPI+1qFtja6W6GohXdCRIE0FLDGoNFWDrRe4ylFVFdZoMbcMUqD27Z7Q7Yh9T05C9mOULr3SSJ79shiIWkOzXNB3LfebDc+ff4dSiZOTBogYnbm8POPy6nIq/td1ja0GrDPT9dS13WF0J8bxZCnXnZwfabrm1HSqjOMjxmiJwj6Ke2SqU5X7nBrP4YMPSWT0MygFsvF81kzjI6NCYDyPM4diga0qXNUw7DfElNjsAn/9q5cEP/D+u5f88NNPeff9D8WvKWVCSqKS3j5w8+oF97dvgEyzXJLzm/J51UEVk+Ds9JSnTx8RgkcrTbfd8ebVC16/fMnq9Ix33/+QZiEeUv1+R4qBthD2y8GLOV6UyLrHT55ycfUYVy3RypbxEo8Pia4beP3qhpvrO9575ykAVd1wdnrC+mSJs6rUfRMpy2h4jImuH7i5vRNvhgiPnz7l5OKS00fPePRe4OrmhjevX9P1A81yiS58MAPDEIhJ0XUdTd1wcX7Ban2Cc67E6onPym/CbyX6/c0LlK4wJxfY04siLahZL8RlfIiJkxOJSMgKmXfPCWtNechYlHbEkMrDE2I/0Psd13ffYq0phhKePvd4lUlKk5sVWWm0W6Brd8iKVZpud4/vWungG+ly2ZJH6PvuIL2rHcYZlvUJrq5xpsEqMcyJKUOWDnPvW7S1hBzJRfKirZhYOZXBVCTfSnTMdsd2ey+5883YxerIpbrktOTKp2GgG3pUhl0KMEjknlKJEDW2WRCjpt+3sN2w2W+BTFUvJKJOZYYgD/HsxTwkaaBy5JhKti5Yo7GDdOz6lImhJ2tY1Et0SMTQcXJyjkKxv3mNj5GQenzoaZpTatfQ5yxd7QSVdXQhYLTGZ1DeY1wmRoVPnroW58cUkhC76KU7UCI3Dt0TqRsnMlpJtVbFhC4zKj4njDUQkswbK02qRJ6ukDjDGBMxZ2pEIaBMRbRgrSQLSL62ZlGbciOU46lzcYiNclMKKZBIOGNpUNRWFxd4RefFVTtED8jxPlms0UbL+YfcuEIIkCNWZVS7I24S15uWu33P9uY1KfbioB4HlFHkJLNPKY5eraAIoKQCq3VDthW+71AhiixucYqpGvJiKaMT5YGmYjftS2UMOmVsdSKELidSt2e7fUMKLaqq5GatDWjH4AO57zApU7uINhqfM0P2BF9kbH2HJUHoSb6XIkExKYtp4EcfvsdDu+flty959N4H2LXh/ranvjxD6Uds797g21Y8K4YdodsTQk8fekig+x3D0GKaFbpqiH5FzkieaYAUIm02mGWDXpwwZDmnc7dB+YHd7oF2e03b3uJqy+XpkrC5IceA7wdyymhdMbQ9od/zn//9Lf/n/+9f8s/++Pf53/zB55wvd5ihJ1/U/OL5L7k8ueCzH/2QXfKc1o6f/5s/YZ8NqyfvsD45Y/dwR2MsT37wIdZnfvWzL7m5vmHoe/E3UKBLdVc69wHftbhqIGFAGZSSeUNjDM5WOFfLXJx1VA6yj/hwNKOpkWzrlFAamcMNMg41RoXqkmBQN7V0RUoXRynE1FBn8d9WI8nx1CenbG52WBRZJbbDwMN2w8+/+oYf/Yt/xMKtyTETh4Gh6+n2e169eENPYJM97//0A0wfGdRAjtB3A7uup/UDMWaMgYUydPcb7t9c4xnY1S3PfvSMJ2fPWOol7GF/u+X25hY/9Lz8q+f82z/7c65+8iGnH3wIdcW7F09YmAYdNdaLsWFKgW47MPQDbXnPL754yfK9cx6dO6wBoyvI4KzBYKUoMvTgGvou8sXXz9HrwPrKsV6dc/Ptt8RHgdPTcxgSu5s7PvvkQz5XPyQR8b3n9tVr0D3nF1fku0TUS84fLbg4eczmNlHpDMlg0dRulu7/faLf78FolHVybVUVtmpwtSvS80O3fDSnk5lUizH64L+jVZGDenb7lmEQshzCQY4MR/FvI7M7wmgil2FsE07d9RylQD924bUxWCdpJbaupg7MWw7f0wuXr0pNi+9f/+epoz5Ka0cCRzp8/izL8ZQTOh0vAsceuNwoDs3AXNJ4is+Agpw1KR0t4v+GvP7Q3QMpsB13AidSPP0eh/2UDmTk8LlK51sdnpuHWsq4tvi1SD45UvJ5ExLbGmGU3o9Ran871PT/YzHh1/b0VA84Nntj+ixjt/1IeZGlwDS+5rhvFUc/c7wgP+LuUzXneBePe1zztolk6S6KssUz7He0mzvahxuGdkf0IoPPOYla/OgEVlCGsnMRUxwUJqhynK1lHDtIQTr1MSV0cfvWRuTLqqjRpFgUpLOf4pQhPl4bSifCuLl9d9iW6TgeFdWm35edPo526PJn7O4rbVBZTeqR6RimKBL86IXsl0SvxEj2G0yTyBhsbdBGFcJ/NDahx5l8MebzXUs/9AztTozG2y1p6CAOkpRVVM0xlXEArbBVzX0O/E///t9z/+Y7np6uOV8tqbTi6vyU4Dt0ioTQ4TQsnGHY77iPkc1mg9YaZw0hROqm4dm77/L8+Uv2+479vpXG13ExbPz/VEpmSqTvSqVyL6TcA81b0n3ZbYcBlbGQMq4/0ug7cHROjsdOq8Oxme4TY/Ftuk+BtY5msaR9MKI6IdP2gev7HRdXZ1w8fsZifQJZDMGHoafdbri7eU2331JVFa6pySmz2ezwPhBjJoRDNGpdV5Ajd7e3pBB4uLnFDwMffPwJ55ePsFVDzpImFmPk4W7Dl7/4Fc9fvuDqnSe4umbRrLh49BjnGqytUJTj7+V99vs9N29u+Yu/+Gt+/vNfESKcnJ7w5PKM9XqJsxqlUjkns3T/u57N/T3393f4mFC24uZ+Q9sPPHn2hLOrxzTLJU+ahsunTyUqMARJNPIDXTcQkiQc1VXF6ek5J+s1towwj6ki6X8p0Q8PL0E5dPuArZZQLfDGcmstOHlQ2XrBerUgGSMe0kZRGYM1Dp00/b4nhMB+GIgImY7BM5ggUWImk5WFmEEllMmsGodyNVkZulbiuLyXCk/yLaZe4FYnuEpmw7WrAINeDSgN69UZlVvgdC0kPvnp4Ziix/ctKQ7TzNHgO0xVCYEOg0jeVUYlGPZb+jBgMoQ0YE4qHAYfRqMTSMaTvSc+bMn3oJs1xigx9rAOe7pGK0tdOYKWLm92FXaxFLd9ZUlZ4hxCFllbyJqERlURhWaxLGaGRSIVgszTtsGLzNkmqsWanEC7qnQUFe1uQ0ak/iknXHPKomkwzpEjrIwpBZce/ECOe7oYCDESomfowDYrcgqSZpAg6YxxtWSHxyBd4BgIPso5oTJRKzTgQyL4AV01KKNQeCpVQ4pEZehDoNKa2mrpTsRINCVyhYhyFm8cNmdqK/NXKQWMzlINziKfonSkIwpCRgMRhVUKvCcYuWH5Unk2WmG1dOpdZVhYK0ZCIZCHDpUjKRlizrTbDUN7T9ZQuYab7cD24Q2pb+UGrxQkMXsczWGUGmcex4e1PMxyKWIYo1FuQcxxmgszKGzTEFMgdq08sPweUy/JqiImsERUtxGH96Fj2N9BDsQc0H3CLddEJ0kJWSlCTKS4x++30p1Bo6sGnTSx3eJDS59CkZ1nVN2g4kD2PaYy7O9vaNuOk0dXrE5Publ9g7WW08by7PEVm9OG7+42kMCHBUPbkv1A6HaySIgSM5S6FqsdGQt1g16cotySS2WJGGodsb5luPmOfb/lYb/FWMuw30HYFXkf3ISBwfciE7UVtq5h6HHrFe0QMN6zc4bu5IT/+//j/8kXv/g5v/vTT/g//o//mqvTC9r7LT//jz+HV7e82Lf8z19+zfLJE6rHOzAV3guZXbiK3/sHv8dXf/EL9ruOfbuVrnpVUdULYt8y1q+DH/DDDmtrQObqK9OUuJc0Vdi1lhQDefjKTTkCLmcikb7fF2OjceGuMM7hqhpXOYytMEpLSoRRYoSo5DpLJfpUakyZnDzn737E7mHDbvsGazJ3Gqqq4uPThquLc3KIDGHg4eaG+9tbbu5v6JbwwYfv8MHinO5+YBh2/OJnX3Lf7YhK5GMpSeGprmu29xuU7biLe9aPlvzo489ZNit0qgldT/RS9Bm6nv19yy++/JZvXr/i2zfP+cnvfc7p4jGNqkheZGt776WQmCJdv8UHz+vnG/7f/+6v+eXLl6ifOf6H//YfcnV6josJrRKp9/jYs3/ouLvfsu8zqdK8++MLLheG7j6QFqfEWPPlF7/gw08/Z2VrDIqHN684Ob+SGcaYuXj3HZ6gGTwo3XL5+CnrRUNlVtSuxxrJchd36t/8YJ3xd4+h3U3dtmQtBF+iR2uMc6VbZzFGYZV0C7U+ROWFJEUtX2JNu2Fg8GXWf+zAAxTyJjT62N59JJ/qQJAypTsqHWspfMtcsbUHYz9XVcXgTAoSkyx56u5OL81x53jssFGk39PHMHoyxczJFNJ3IEgHI72xQWwmh3eZiz+kBOiyaB9d92Vz1aSJPZaN58w01z79xRSZJsRuJPEoVQxDxfh47F6PIWQwuuKP4wS6dHATyQd5LpbrTE1kz8gxKc7o5IMxIzHK3HCW7ZeObz581sMOnooWU5ddTZykrBUPkuaxaPL2S4hKYiqglH0y/s7YDaV0G+VH1PRnfE/krQ4kf/wyFpJGg8eYZU0SA3HoGbo9oWvLPHxPGDpRgIVB9luSBtH4Bnk8b0HGVDkaB1AjwZf5fFW67MZVxUQt4buWNEjxWU2FBtnHY5Z3jsVY78joT41KhTIOkGKUAkNSh+dcPuS4jySdVBQCOYtBoHXi9F832NpR1w117VCkEmtbxhKSxHiPkvrQ9zJqOwxFCToeQCHmowoPVdQ2xk7Fwpwzfr8htHvCfkMeOlLoIQyQQxmvi1KbKa6JVo9nSsYSUKnl9vo5/2F/DcOAU4o//oPf57/6Bz/FaNhubvnmmy/5+ptvub2X/PS6WRBipu06UdaSefToMY+fPGV9ckaIWXydRqVCOQdVmkp2UuAr59PUeR8va31UnJrqaWOcshzXGCSPPuWj4mH5OdldqpgUyp/Ja2P8LBRtTIaspBFsjcZaS0wDMrIBnU8obVmvTwghEsOWdr9jv9sw9B1Kwdn5Bc45tLZsNg/c3T2ILD8lhhCJKeJ9FHl9DHRdi0JxennFen1KvVijjLTthr6n3e94/eIFP/vZz/j2629p+56cMnW1oFo0GFtPJqU5Mqm82rbl9uaOX339HX/1yy95cX2Dsoaf/M4nNM0CrS2ZXOJce/p+z27zwGYrz62zyytW6xO0rRh8z6sX3/HLX/6CJ7stJ2eX0vBMeVLMOFdjraOqlvgoCq71iWK5WGGcA0TljBYrxXSI5/gb+K1EXw7wQOoD/bBj0Ba7XFOdnLGoz7DrlRhslU52HyROLHYD+6Gl6/aEQUhDjgnQZC3yem0tqm7QQycVN6OxzSmmtsQQ0fsOKoexMnM6DF7yq43kuStjcRhMLfFbxmgq12CUGCDEFLFofCwVJaXxOdD5geQ7Kq1JKeDqBY2t2XY79pt7jFLU9QJUpktihrBwrpjWWHZdy9DviSEy3L1BJXBVQ2xq1GpFs1zjFic4YP/wQHy4xu8NSTu8sdimkXhCFIu6pm7Wo+Ul5EQXpFOrcqZeroube3F5fNigco+2huA9NmYqo8XUTju0EkMVYigGhkDJyTSNpbINi+UJzjSkoZU51P2WkANd1xFjIJBKrmW5cNyCVbMgG4e1EsUXEFkSSaJ+Bu/RKpMWNVpJZ60PUvzQdQVOZDvWGimkhEAm4axCm4ZMJMeIR+IBlUJmKHWDIYmJR0LOE6VI40KoXFQxDtKNiV4e+iFJxritqExF1+/LMYWIVG7HgKBKK/Lgae9vCe09Q5LQM2ccOUV2u3u2d9dCrBankAzJGqLfSV65knK/ip7RVE1Kp0JyReWQQDlQBqUtykrkilGK5vxdiRE0lnqxYtXURJXY7PakkIhDh3UVJmv89hVxf4OPAylIxVCe46KoSBmGdl8MLyUVI21vSGGQB3a1BOfw7UbGTUpMknYL7OqCnBX4PWHYkVWmWZ2jH7/PmYZnV1ecGcX+ZMHr19fUZ6eErqfbbfjo2SUxG16+fkPdrIl+oNsuiX2PWzmGbk8eBkK3J2lFo67YPTxQNVA1S/zmNf3mmmH3Gp8HIGKWS4xakmIvF0eWKufQVORqge96bIyc2IqH/Y76dMW//t/913zxX/6SR5eXPHMN/6//9J8IVeKn/+IPJa993/Hdyzv+9E/+M//mL/6SqA3L9ZoqRfy2RTcnRRYbWTWa3//0Y/7t6Zk8OJTI3sxiQVMv2fUyMqDKoibFHmUdtq6xdSXJGFmhdC6y0URV8pJjcaGWzYoEZLHrqorc93J9GSumP1WFKTGYo8NvSpGBUe4p2a0g0tNqeYqra3Z3bzD1GYuzRwx+S99u0UNg7zMXz96hsTW7+3sebh94/vxrzKnj8keP+OjslLVaE7tI6lu6h5a7hx1tGCQXmXHKE/b7ns7LCNWHP/qQy/UpyWc04rDth8iw69jf7nn+5Uu27LjpN+i149n7TzhfneGwZYEu6QwxZ1KOxOQhwf3Lluc3t9ymjh7PN9+9pI8dBkVKitD2DPuWPnV0D4G7dos6Mzx6dsW7Z09Jmy2d3YGyYECx4Od/+Vd8/NGHOA3fffuKut3y5PIZJiRUCGx8Rlc1Va2pmxUai0ZT1waIqFgWp2GO1/v7hAnir6EoxlwU0mKMdPqzRSuJ6TRGTwR2lPh67/GdKHPiJA2GA8v7ta5VNoUsCRGAsmhWozN7ea+i3jHG4Jx4lFhrMVYXYn+YhY1JEgJiKtfR+Lz4tZrRgZoeumxHdWOZuVVKxhG0RauIUbEUEZJUFfNYo1AodUgcYBoTGMm9OvgGTN8funYTeS2kbPp8hUSPHcBRTn1oU0vGWFYiHTh0HUfScNjVh60W8pRTIIWBVLxjlBYvA5BOrpaDz0iGVVTTZyEV2fYYDXAMNRYvxuKGBnMYE2Asnhy2ovyXOuz88WWUGLhNHL1084WkFmf4iSiV1xOmxTSaUN6PQrLKi8hrjAoRPxCHHt/t8e0O325JfpjmwaXAcKzEOBoFmM6Zt08wpREzypIqIb5DBmWtFJStJCktVishZ4MovnzfyzNyXOuUz0gSV//JW6aMTHC073Iu67hJ3VC2uyRKiPR/9HNK0wfVpOKlZFkuHOeXZ5ydn7JcLgghsNvtJNUnx8NISpBiXt929Du5B8RQ3PiNKmMACaVERYeRNZvSkgYQSpEgtDvibgO+wyiJR9MlO15rBcpitcZYMdI11hSzO0VVGZbLhqvLcyqjef38FTdv3vDyzTU+K1yzgKHnoR242+zZ7HtQmpCk75nIaGO4enTF+z94l4uLCy6vzolEIMpnHUeMMqV4Jcc65zxFQ2pySY84FCSOj8t0alM6+WXcYiT5o5pl8r8o3iLH8YrGFEPNIuPPKHIqb6rV5KOijZHEsxzJWRTgzXKJc452v6VrW7YP96QYqOuKZrGgcrWkHKTMftdxe33P0EfadqDzEq8XYsK5ihgijTUsFkuW6zOsW6C1IcbEvmtpHx64uX7DV19+xevra1EXF5+WZb0kY1FZoirH6y8Mnn7fsd/suL/f8Pr6hl3fknWi8x3d0JG1IuSEipm+7djvNnTtnuB7lqslq9MzFstTtHGQZez47Pyc+7sbfvXFF6xObrBVhdKGulmyKI1sVYqtxsj5JQkNhkwmxIhSkl41qnJ+E9RkMjNjxowZM2bMmDFjxowZM2bM+F89fnMJYMaMGTNmzJgxY8aMGTNmzJjxvzrMRH/GjBkzZsyYMWPGjBkzZsz4HmEm+jNmzJgxY8aMGTNmzJgxY8b3CDPRnzFjxowZM2bMmDFjxowZM75HmIn+jBkzZsyYMWPGjBkzZsyY8T3CTPRnzJgxY8aMGTNmzJgxY8aM7xFmoj9jxowZM2bMmDFjxowZM2Z8jzAT/RkzZsyYMWPGjBkzZsyYMeN7hJnoz5gxY8aMGTNmzJgxY8aMGd8jzER/xowZM2bMmDFjxowZM2bM+B5hJvozZsyYMWPGjBkzZsyYMWPG9wgz0Z8xY8aMGTNmzJgxY8aMGTO+R5iJ/owZM2bMmDFjxowZM2bMmPE9wkz0Z8yYMWPGjBkzZsyYMWPGjO8RZqI/Y8aMGTNmzJgxY8aMGTNmfI8wE/0ZM2bMmDFjxowZM2bMmDHje4SZ6M+YMWPGjBkzZsyYMWPGjBnfI8xEf8aMGTNmzJgxY8aMGTNmzPgeYSb6M2bMmDFjxowZM2bMmDFjxvcIM9GfMWPGjBkzZsyYMWPGjBkzvkeYif6MGTNmzJgxY8aMGTNmzJjxPcJM9GfMmDFjxowZM2bMmDFjxozvEWaiP2PGjBkzZsyYMWPGjBkzZnyPMBP9GTNmzJgxY8aMGTNmzJgx43uEmejPmDFjxowZM2bMmDFjxowZ3yPMRH/GjBkzZsyYMWPGjBkzZsz4HmEm+jNmzJgxY8aMGTNmzJgxY8b3CDPRnzFjxowZM2bMmDFjxowZM75HmIn+jBkzZsyYMWPGjBkzZsyY8T3CTPRnzJgxY8aMGTNmzJgxY8aM7xFmoj9jxowZM2b8/9j78zhLsvygD/3+zom49+bNPbP2tav3nh7NJs1ondFIQgvIgFhshAVCYOyH+ejxbD9jMEZmMdgPbLxgm4fNA8sCbGMQm8ESGJ5mRswwi2bvfau9KqtyX+4acc7Pf5yImzezMquqZ1o9Panfdya7MiPixnYjzvntP8MwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DcMwDMMwDMMwDOMIYYq+YRiGYRiGYRiGYRwhTNE3DMMwDMMwDMMwjCOEKfqGYRiGYRiGYRiGcYQwRd8wDMMwDMMwDMMwjhCm6BuGYRiGYRiGYRjGEcIUfcMwDMMwDMMwDMM4QpiibxiGYRiGYRiGYRhHCFP0DeMQROSnRORfvE3H+qiIfOztOJZhGIZhHFXezrn7G4WIqIg8/jYd64qIPPJ2HMswjLcWU/SNESLyMRH5/ZXSGUVkR0S2ReRlEfm91TaPVBPMzr6f3zG2n28TkX8kIusisiEiL4jInxWR+fsc+98VkSUR2RKRvyYizfts2xaRvyQiKyKyKSKfGFv3h0Xkueq8L4vIH9732feJyC9Xn7shIj/z9d21t4fqu1ERee++5X+vWv7R6u+56v4tVffgFRH5o/fZ7zkR+fmxe/mciPzU2Pp/Q0ReqvZ1R0T+TxGZrtb9rIj8mer3+rn44r79HxORoYhceRPX+oiI/JKIdKtj/7r7bHtWRP6BiKxV3+cfOGS7n6zO7/ePLWuKyF+urmtNRP4PETk7tv6nReRXRGQgIj97wD4PfQ4NwzCMh0dE/kMR+YV9y149ZNmPf53H+piI9CvZZUVE/q6InD5k22Y1p25V8+q/d5/9/pSIhH2y0UcP2O57q/noz4wt+8v7PjcQke2v5zrfDqprVhH5r/Yt/83V8p8dW3aoPHHIvv9YJcftVPP73xpb96yI/NNq7t4Qkc+LyG+o1n1URG6MbftQ8tNDXKuIyJ8TkdXq58+JiNxn2/9IRK5Vz87/JiIzB2y3ICLLMmaYEpGf2PcsdKvz/NZq/Z8UkWLfNo9W656sZKLl6t78ExF56mGuzziamKJvHMYtVZ0CZoA/AvwVEXnX2Po5VZ0a+/lbACLyXcDHgE8CT6vqHPAjQAnsGWRrROSHgT8K/ABwEXgU+FP3Obf/EVgAnqn+/XfHdwf8JDBfHfen9wkF/wvwiepz3wv8QRH5Tfe/Fe8YXiFdGwAisgh8J7A8ts1/BUyR7s0s8JuA1+6zz78OXCfd90XgdwN3qv1/L/CfAr9TVaerff6tQ/ZT0xaRd4/9/a8Dlx90Yfv4X4EvVufzHwF/R0SOH7Lt36j2fxL4UeA/FZHvG99AkoHpjwHP7/vs/4t0/94DnAHWgf92bP0t4M8Af+2QY9/vOTQMwzAenk8A3yUiHqBSvHPg/fuWPV5t+/Xy05WM8yQwR5o7D+JPAk+Q5sjvA/4DEfmR++z3X+6TjT42vlJEcuC/AT4zvlxV/8D450jz4N9+85f1DeF14F8TkWxs2e8hySzAm5cnROT3kOSRX1fdj28D/vnYJv8H8H8Bp4ATwB8Ctu5zjg8jPz2Ifwv4MZIs+x7gNwL/j0O2/cnq/L+bJF9MsFe+qPlzwIvjC1T1b+57Fv4g8AbwhbHN/ta+5+yNavkc8A+Bp0hy0WeBf/AmrtE4Ypiib9wXTfx9khL0rgdsDvDngf9JVf8zVb1T7eOaqv6J/RPeGL8H+Kuq+ryqrgP/CfBTB20oIk+TlNd/S1WXVTWo6ufHzvfPq+oXVLVU1ZdJA9x3j+3iEeBvVp97HfgXwLP3uR4Rkf9Oksf2JRH5gbEVHxOR/0xEPltZbP+BiCxU62oP978lIrdE5LaI/Pv3Oc7D8DeB31ELPcDvBP4eMBzb5oPA/6Kq66oaVfUlVf0799nnB4GfVdVOdc++qKq/MLbuX6rqFwFUdU1V/2dVvZ+X4a+Tvs+anwR+7mEvUESeBD4A/AlV7anqzwNfBX7bAdtOAR8F/qyqFqr6ZeDvAL9v36b/GfAXgZV9yy8B/0RV76hqnyR0jJ4FVf271bO/esCx7/scGoZhGG+Kz5EU+/dVf38Y+CXg5X3LXlfVWyIyKyJ/tZpbb4rInxmbG+E+c/c4qroG/Dzw7oPWk+az/6SaU18E/gqHyCcPyf8b+KfAS4dtICKTpDnvf37Avn6DiLwhKSrhPxcRV33+p0Tkk1+L7PI1skSap3+42v8C8F0khbPmzcoTHyTNz69X2y+p6v9Y7f8Yaf7+K6o6rH4+qar3S9d4GPnpQfwe4C+o6g1VvQn8BQ5/Fn4jSa69rqo7JIX+d4hIu96gcoy9G/ifHuK4P6eq+qATVNXPqupfre5vQTJgPVUZNoxfg5iib9wXEXEi8ltIVsKvPmDbSZKF9Off5GGeBb489veXgZOHDEwfAq4Cf6qa3L4qIvcogdX5CEkwGPfk/tfAT4pIXoUzfSfwz+5zbt9OslYfA/4E8Hf3TYg/SVIsT5OiFv7ivs9/H8kb8EPAH5H7hKE/BLeAF6p91cfer0R/GvizIvJ7ReSJh9jnp4H/XkR+XEQu7Fv3GeCHReRPich3y33SKcb4G8CPi4ivIkCm2Oe5kBTu/pcO+fyzwBv7Jv8vc7AxRvb9W/8+EthE5EMkT8BfPuDzfxX4bhE5U02+PwH8wgHbHcRDP4eGYRjG/VHVIWmu+Ei16CPAL5OM8ePLam/+z5Lm3MeB95PmxVFqFg+eu4GR0vjbSFFk+9fNk+b2/fLJ/ZwD76/mhFdE5GfGvdwicpEkL/zp+3ye6nyWeXDkwm8hzW8fAH4ze43cX6/s8mb5OXY95j9OcrIMxta/WXni0yRZ7Q9LSgcdN+KskiIV/4aI/JiInHyI83ug/CQi3yMiG/fZx0Gy6n0dRft+b5LkQarr+e+AnwYOVeCrZ+Yj+88V+I2SQvOfF5F/+z7n8BFgSVXvcVgYvzYwRd84jDPVgLdCmiR+d+Uhr1mRlBdV/zxDCpd3JOsuACLy56v1HRH544ccawrYHPu7/v2g3K1zJEVukxQO9dPA/1wdfz9/sjqfcWvpPwJ+O9AjWdT/qqp+7pDzArgL/NeVx/hvkbwLPzq2/q+r6nOq2gF+hhS+Nj4h/anKW/7V6jx+532O9TD8HGnye5qUPvEv963/f5Is1z8NvCAir4nIr7/P/v5VkjD1M8BlEfmSiHwQQFV/GfitJCHiHwOrIvJf7ru+/dwg3aNfR5pI//r+DVT1D6rqHzzk8/ufBaq/73kWKmPAJ4GfEZGWiHyAJCC1YTSR/iVSiGY84FivktIWbpJC/p7hwQJYzZt5Dg3DMIwH83F2lfoPk+amX9637OOVYvcbgH+nml/vkjyX42l6D5q7/2Il43wZuA0clHs/Vf27Xz45LK/8E6R54QRpLvqdwHidoL8I/Ezl4b0fD+vB/XOV5/YayYkxLl98vbLLm+XvAR8VkVkOUKLfrDyhqn+DJM/8MOm5uCsif6RapyQnyhWSV/22iHziIZwb95WfVPVfaEo3PYyDZNWpyqm0n18Efr+k6M5ZUgosVPIJKdXgMw8RCfiTwC+r6ngK5P9OkleOA/8m8B+LyD2ypYicA/57Dn62jV8jmKJvHMYtVZ1T1QVVfZ+q/m/71h+r1tc/L5LC+yPJQgyAqv4H1cD594CMg9kh1QKoqX8/KKSrBxTAn6nCtT5OCu/7ofGNROSnSQPkj6rqoFq2QBp8/zTQAs6TLMyHKZ0AN/dNtldJil3N9X3rcpIF/bD145/9Wvi7wPeTFMuDlOieqv6nqvqtpBz3/x3425IKvvwx2S3c8per7ddV9Y+q6rOkfK4vAX+/nrhU9RdU9TeSctB/MylM7ffvP+4+fq7a7ncedI4PYP+zQPX3YeF9P0EK4bsO/H9JEQV1EZ4/CHxFVT99yGf/e5KFfRGYJN3bh/XoP9RzaBiGYTw0nwC+p5qrj6vqq8CnSLn7CyQl+hOkfPmcpOBtVAr7/0BSsGseNHf/oUp2OauqP6GqB+Vq1wr5fvnkwPlIVd9Q1ctV2txXSbLGbwcQkd8ITFdK96FUkXUf5eFS3u4nX3y9ssubQlV7JAX+jwOLqvrJA7Y5UJ4QkQtjssnO2PZ/U1V/HSmi9A8A/4mkmk5U4fM/raqPkZ6HDg++Z/eVnx6Cg2TVnUMMMn+NVGfhY6So0l+qlt8QkTMkRf8/eohj/iT7UjhU9QVVvVWlDH6KVPPht49vI6mu0T8F/pKq/q8PcRzjiGKKvvGWUVmGP0Oy2r4Znmdvob73AncOCTX6ykGHHv9DRH4fVXE/Vb0xtupRIKjqz2nKR78B/G8kz8BhnN1nrb1ACgGrOb9vXcHeXPD968c/+6ZR1S5JGf23ecBEpapbpOI3k8ClygBQF265pzq9qq4A/wVJGFjYty6q6j8H/v8cnstY8/Mkz8EblafhzfA88KjsrcT7Xu4tpFef11VV/VdU9biqfjtJUPlstfoHgN8iqVLyEiln8C+IyH9XrX8fqT7BWmUM+m+BD1WhnA/igc+hYRiG8ab4l6Qisv8mKVqrnsduVctuVZ7N66Sw8HGHw0xlsK550Nz9QDTVDLrNvfLJgfPRQbtgN3z7B4BvG5uPfgfw74jI/kJpvxv4pO4WV7sf95Mvvl7Z5Wvh50g1CP7G/TbaL09oquM0Xnxu//aFqv5t0rx7j/yhqtdJhvv7yiZvRn46hINk1cNkk6ipNtUjqnqu2u5m9fMhkkPshepZ+G9IssfSeISDiNSF/O5XZwn2Pmd1ysk/Bf6hqv7ZN3mNxhHDFH3jreY/AH6fiPxRETkBo/ChS/f5zM8B/4aIvEtE5kgW4Z89ZNtPANeA/1BEsmog/D7gn1TH+gmScvuDB0yUr6RN5F+XVHvgFGmyPUhpqzkB/CFJOf3/Kilc6v8cW/+7qvNuk6z3f0dVw9j6n5HUhu1Z4Pfy4Kr1D8MfA75XVa/sX1HlBH5QRBoi0iJVlt8ghe3dg6T2MO+u7uU0aQJ8TVVXJbXH+XERmZfEh0idCg7zkAMjg8/382DP/0GffYUUVfAnqnD830Kqbntg3QcReUZEpqvr/V0kj/p/Wa3+KdL39b7q51dI3RxqK/rnSGF8s5IqIf9BkiC5Uu07q+6hB3x1PnVUyn2fQ8MwDOPNUXmFf4UUavzLY6v+RbXsE9V2t0mKzF8QkZlqPn9MUmX3mgfN3Q/LzwF/vJoHnyYZHH72oA1F5NdXaQV1wdafYbfi+c+QKvy/r/r5h6TCfr93325+8rD9H8Afrs7rPGmuH5cvvl7Z5Wvh48APckB1+TcrT0gqKPij1fzuJKUgPgt8ptrHnxKRx6t1x0j1Bu4rm1QcKj89BD8H/HuS2vqeIRk1fvaQ81+onkmRVK/ovwT+tKY0wl8gFYZ+X/XzH5NqRLxv33fwe4Cf130FC6t7OX4f/xDVcyaphd8/IRmLDm2tbPzawRR9Yz8P65XckL09PP89SDlOJCXvI8ArkkLqfpEUvnRQaxFU9RdJ1fp/iaQ8XSXVBQBAUrGRn6i2LUghX7+BlB/1V4CfVNW6gu2fIYVif07uDVPfIkUb/LukNIMvAc9VnzmMz5CKp6wAfxb47fsiDf46aaBfIqUD/KF9n/84qWjMPwf+C1X9p/c51kNRhWwdVl1WSbUAVkjW+x8kpS8clhPYJqVVbJDat1wkVZOHdI/+TVIu+xbJSv+fq+rffIhz/BWtquXuR1K/4IOK49X8OKnA0Drw/yHd8+Xqsz8hIuMW9B+uznudFNr3I/W2qrqhqVLvkqoukarrbqlqnWP37wP96vqWSc/Ubxnb9x8nhej/UeB3Vb//8WrfD3oODcMwjDfPx0lK6vgc98vVsvHidD8JNEgF1tZJXs/TY+sfNHc/LH+CVNTuanVu/3klsyC7Ied1IdsfAL4iIh2SUv13SY4HVHV733zUAzqaqv5T7e87SfVfHrat3j8APk+SZf4xqcBszdcru7xpNPHPx69pjDcrT2yRlPJrJPnkzwP/diX7DEmK8j+rtnuOFOHxUw9xjofKTyLyYRlLHTiA/4HU1u+r1TH/cbWs/vyOiHy4+vMY6RnokBT7v6ZV1wBVHex7FjaBovq93lcL+Nc4uPPCj5Pkym2S8eHPqWq93W8hdSz4vftk9P3Flo1fI8jBqSXGr0VE5Aski+Pf/0afyzcDIvIx4G+o6v/vgHWPkPq756paPsS+Pgr8SVX96Ft6koZhGIZh/JpBRH4K+P2q+j2HrP8Yh8guh2x/Bfjo1+gFNwzjG4h59A0AqtDyZzigxYxhGIZhGIZhGIbxzYMp+gYi8udI+W5/RFWvfqPP59coV3j4vDzDMAzDMIy3g/+aFD5vGMY3GRa6bxiGYRiGYRiGYRhHCPPoG4ZhGIZhGIZhGMYRIrvfyk9eXdEYFVUIpQAe1FMWkcGgZDgoKaKn0IwY4+inLFPtMe893nuccxQaCCpEhRKhUMcwCGUUhjESAmj1M74v55ItYneZMtRpou4ue9iohBDC3m0V0AZj7ScP/pxAeIBJRFUJ4evtTPKrhOY82KYTQYq3aF9vHapKjPFtO96bwTmHyP2fnXcuJcje59U5N3rfoHo9cAggRBwBHwNOAy6WNDKh1chpTwSmJoa0Wi3yPEdE8N4jIsQYR+/dcACCBxxFESmLSDFUYhRiEGJM37eIIALOK84pPlO8h7zhyPOMLHcMhjuMd6ERERqNxug9jDEy8E3W+0O+5ZhjIWzxystX6TTOMmif4/zpafzqKvHWy7zWfoKub9/3bjkpafn+6B7V3/3+73+SNZoukjca5HmO9340Ho7OVcFppMx3GGYFBVMUg0Umsyk2l69x+thdup3P0X/jk3z/d/9WXnpthrLxLpheILQ6qN/EK/hyBomTBOeIIVBW113fw3GyVg/JAk4FFx1OHQ3J8epx6nAqoH2K7vOsLt+hGPaZbDYo+h1OLs7R8MKjFy+wsnyHz3zuEyzduUVrYpLl1XWee+kVTp9/hJ/8vb+fk2fOsby6xs2bt8nKwFOPXiB0t7j2+ssg8PP/4B+zUTju7kR+20/8Pr7vIx9Fi4KpqSlu3rzJ+vo6TzzxxOg6Go0GznkGfU/AEyQjiiMjMp0p7bhNb+kNBhtL7Eyu4Obn8YNHWJx4giYlSzc/yebmlzi92OTR84/jYpvNuMmtmz0+99nX+eRnPsla93Wees8pPvgd38GjF78Xr0+QLVxkmIOjJNceufbRYoPB9jIUW5xcnOHc6ZNMnPv2b9YB4JuOz726pKpKiEKIMFAq+cNRRKEoIqFUQkhjS4wKmkav9Lk0j7jqvVWFMkJRBgYBShVKdQQ8Gn0a/2Ial2JQVHe/6hAjZQxoVEoFjRBxJFnCgabfFUeMSiSipGc6Eh8kchxAdR2R6nrGllfXCNWYLfXYXa2Gr+F4b45arlLVh27b8w1HARx7RML6BgL1PX9zO6x3FneXyTfNHQEYmzvund9+VY43dszDjrdfxncomYB3ihclF8iIZCJMTkZmZgMexYmS+YhzJbhIlJIyFpRRCMU8ZciJ6ogIRRlGY4jqqJV9dU6VNOQU5xXvBO8iDsU7hxdHJg4nIFISXUFwJdEFhIBohOEUW6t9Lj7qCGXJ3RsNOkzT0Lt8+4VJ1jZ7vLDZZruYJpcG6axGd6D6iTgveC+IA+8dTtIzJi6NbV4UV127r/+WJMM4KRA/QLyieFQdUR1Kug+qGQXCIPbRoWeiP8EJWWZSv8LKrS/wnm/7LpYGM6xwjL7MgWZkqjhVhPt/h/W6Wid0zqXxKQbEBcRFchniQh+JQ1ws6W9usHrnJrkWtBoKscvUTM7p0yeYnZ1hc2uTf/R//CMajQZr62v0uj3u3r3L8RPH+c2/6cc4deo0WZZz69ZtQgjMzy/inefl517k/LFT/J3//W/zypVrlNMT/PBv+638uh/69Qz7QzJp4H3OF7/wJZ5++hmyLDvwORRxkGVEMgSlFXboXPsyU36HUoYwOYf3p2jKWZpumhdf/fv0BteYn57h0Ucusbi4yPLKMnfv3OUzn/kVXnjhZZZu3eXChUd5/we/gw986MP45iTkTSRrolkDFUF0SHO4SbPYIg57TE5OcvLUSdrn33fgzb+von8PCqppAk0GgKSERY2j38dvxEjoVmVYlpRRCVEpolDiCOIJ6ohaC/lpwhzfV63kjRR9rR94k68M4xuBc4JDkrLrHKBEkvAtQVEiXhkp+jEqGiNl2J0EQlTKoAStFH2lEswBUZyrBFhVpP43KLhAJFLGuEdAExTKZFCIIY0VRQyEMlAMI5I58jyvDJGBMkDuhIjyUKKpjhud0sTvXDJI7MUTYXQvIpH9hjFVoSwcpWYMo1LiKQaOrR2l3ZhhZ/Mq3U6P7/nO7+H20l3WNx0nH5mm5zKKMhA1JEW/CEgMBKeoRkLUkSJwz+lHcAGcgouKI+JFQQMxJnOOI7K9vcnq2ioLczOsra8y024RQqA9Pc1g2Md7h/ee06dPs9Ppcev2LZ566im+88MfZXt7i96VK7QmJmk0cpzCzs42M62c5ZVlhsMhCwsLbCxt0G63uXDhPM4JvtFgMBhw7NgxNjc36fV6TExMoKoURYEQUFqMC9IKRA0UxZCiHBJjSd5oMiwjYTBEJoXNjTU2NteYmpzg9JmTTE5Os7Ha5+7aHZ5//jq/8vnnuHz5MqcemeCRRy5y6dIl8iyn7CcDs2qZ5rtKOdMY8Zkn9y2ccwwGAyYe/OQYbxm1wH04qorGXaUzKW17ZRIVqdYxJstUyrpqpSgrGtN26Yd9CqGOfkwWMYy3F6mMECKxUq53l0E1V6MISoxJgfUiybEXI8RKx6AgAlF9pYcoURm97LVBsOaw0ac+HqoIENQTFUJ0CB6HQsgQ51AkyVAiaFSkkg+cdyMj5MOT5BehGuuk0qNkfH26njRnOoR8dCGazCFEFUI1Vqb7oYgqmRfmZqa4/tISH/nO7yJmba68cpWJ8wtECaAuyUSVvPcw5550yPEriEglk9Rj78hsKUm2GQwGxDKQ+QKRxh5d8/jx4zSbTXY6O1y5coXFxUU+/OEPs7q6inOeLMvZWN9ganpq5HhaX19HBiULCwssbu+w6ZRLly5Vztokt4pEWq0JyrIcKfqHfAWo6OiZijEiWTXHREWd4nz9XEbOnD7NxXPncSIsLy9z9+5dPvOZz/LZz36eleVVykJ597vfzbd967fhM0+IcWQrrA2pouCdwzmP1k6n+8xDb0rRV5QQtJocQ3VREHXXAz+u6NdKupYlRVDKqAzLwLCIFDjwTaJ4ovj0qEZBQ0xCf4Co4KTe1+j9ZMzYZhjG24gIOOdxlTKerLJKGRxSQlkp2T4DJ25PdE4IVAq8UhZKUUZicEnAriZYjYJImjSdVFNgTMJ3LAOlBpyTkaFx/LzKECuFNx1vQMmwjPS6AZn1NJsThE5gMOxTFJGpDEr2Rfkcgirp/GV3gYhUnrsxXIYihOjQMhkn9s99WjqKfk6ZNyg8lORI2WC4A3nuidFxbPY0t2++xvU3tsknz7DTG7IZSpgMqA84hawIEAPBpYiBPYfZd9BQChJBVPEKThVciVdJXn4FQp87d26zs7PJqRML9BxMTU3gM2i2cvr9DjudLcqyIGpga2uL4WCI9547d+5w88tf5eyFSzz62BOUZclUs4mIcGfpDt1ujyefeIK5Y6dZ+me/zNPPfIAzZ8/S6/WZnZxkMBgwPz9Pu91ma2uLZrOJ955+v4+Iw/u8uqZaQoiEUDAY9OgPelAWeJeh6qCaN3Z2tghxwNz8DHNzs/Q7Q27duMNnvvpZVpYD73nPe9jpd+j0r3Hx4kVmZ2dZX+0z7HRpLAaCJi+s00DUSChL2s0Wc5OTTE94sswmorcV9eMS7F7NmyrCikiIIY0BYa9gHquIl5gGseTRL5VhqQxjihQoNRktayOB4gjV+KRjwmlUrZwTtUe9PlLtya9OkSToEb8Wr+7+gWOfh3nMVa9ji8b9ysYY41EQe5a53Wfpnm1037/1uvHvRrn3GzDeSvYrkCIgrlYuQSR5lL13oIHhsCBzgnpPjALqiYP0HocIgfQ6RWJS8KkcBCESQq1kVMYE/MirrwJRkowiMTk1knwiKGFP/GN0jiAgmuZeDR6RnK3NTc6cWGSVEsqI5o71zW2y5iRZ5vFl8tzvKuO1M0Krxy5CNW9rrOKIBEQiqoJKtX31mKpIZQMQnDg0NFBx1b5j8uqLoNV9CBKJoohGiqJkZXWLRx45T1EGPvOZz7Ad5slPBYqRol959CV9HyNjxYF6p1CGiIhDnK8MNDFFb0ZFnJIl0wNoZGXlLmurK5w9eZx2S8hdQZZBURb0+j2Wlpbo93r0ul2GgyG9To+p81NsrG1y/cYNzp3b4sL5RwBJ8kFUlu8us7q6ytnFk7zrXe/ihTcu8+S73sXpM6foD/rk0gKSEp3l2SgiM4SwJ+I1XU1tXI5oCISyJMRIbzhA8mR0lqg459jZ2mFios2J4xMszM+zsbbO2uoqz33lOXrdHj/0gz/E//mPf5EYlEcvPcJkK2ezs0XpWszOzNOrosuEQC4B5zPyfJLWRINWIyOMT1D7eHOKvmr1otQvRLhH0T843D7ifAshojGF1hUxEosiycneId6l0P1YKwfpomrJOkYhhMq6ZpUFDOMbRFLunbrkjfUp/KqMGVqmFzOUER9cmnjGInFUwbnk4S5DpAjJW5+8+YyiegSQCL6y1KtKUkxDteFIkNo3+VN5Xysv3YBIEaDXK3FzbZrNFmErMIh9ijLgPSBDdpXH+xODVONRUhRcdCB7lT0lT5N8MoujaJooxr0C0REGbUIoKb0QaOBKT0scg53I8dk5WrLC5Su3OHPm3ZQcJ8SMMnrKQY/otVL0tVL0I+JcZeF19YnsPa9SUHE4Ko++KuojXqswvwih6KAEjh1fQAlMz0zSmsiZnmwTwpCyLLh69TJFMaQ/6HP5jctMtCfw3rO2to73GdPT03S6HUJQggQGgwEvvPA8w8EAgOnpaZxzvPe976XVbBGHJWVZ0qi8+vPz89y4cYPZ2VkmJycBqmcsAqFS9pMgFMKQYtBl0O+QhQFhmNFoTZK1J0ECeUM5eWqB+fkh21tbXHttjVdeuEG32+VHfuQ3s72d86nPfIqnnn6akydP0uv16PUyXB2pJhFIEWtRI3meMzXZYmrSEYY73F1fZeriQz06xluCJIeAyphxbix0vTLMQDL4pUAgrYxxu+JyckgIUZWyhKJUyhgpo6PUJLxrtd9ICtkP1WdqoupoTBudx7iCL0kwj9WyWvh++OLH+5X6KiVgD3V0SyUj1SH7FmBwH/Yr6Q8Kzz9Icd8fWbIbVn3w5423hOq21xGFtXKb7HZSOR88KkOKsiB6R6ZVrFpwxBI0KKUKUYBM0jtZp/GUVZRhqSNDvtRKffV7jFV4OmUKN68U8iiVgRmflF9Jyr6KQ9RRDUuoeLq9klajTc42GiI0c7Z7XRbbWQprF0WqyMH6fU6Ke6D20MfquRXdvTFuLKJASeMTzqWYQk33rMSj0aHqqvEwVhEAVYSTQBAl+BSVWcYhkcBw2OO5595gcfEk8/OPsVQqw2qczaLiVcHt3ifnxuWi5JkfGdUgpRpUxhon4CM4V60WwTthMOixtb3CxUtnyDSAFmS5w3shlJGiKLh9+zbD4ZBhf0Bna5tjC8dwOF556RVm5udoTyQZotFosr3dYWenw/VrN2i324RYok44cfoUz773W/CNjLKWkyTDOc/xY8d45ZVX+fZv//ZRhGE9htdGJiDJeiE5A8oYGFIm+VXTvOGdY9jvcmLxGJ4uOxtb3Lm9xKc/9WkazRY/+AM/yMrqOiKei2fP0Mo8/c4G3U7B5OIURYiU0YNApop4cJnHNZoQoDfs0x30mLpw8KtzX0VfqzD5Omwt/VRee9kN1dgNo5GRoFmHtdWKvs/ylGfrPYVzSIyEIKNxUBAIQgxVKG+t6Fceszh64qv96puZNBl9MXs+I/KWjsP37N8w3qkcEGJ1UNiVSJpMhN333I8p+qpUnrCU653SdRw+CuLSe6zqkmXT7YYgpc8kj7iqq+fBkSLnqCJ6Kr1eYtwVolUROdibqlGrEDyhJCOGQL8XQDPyvAnaIWrBsOiTTwsuC7tj2v1QquuQNMmqoM6h+yy8peYEdaNxSlXpD/bm6BOBskGQVsrv1RxXCJMZeDwNPCu37nLu7KOcOfM4X3phiAeGeIbOoerxCqF0ED0hC7haYUcPHIdUMxCXsoY14jWgMZA5TSkMEinikFYrI/MOKGm1PCEOQRr0B0MIJatrdxgOB0mgQnn22Wf53u//QXb6Bd1BweTMPCur67RaTWbaU2RxCMCJkye4fv06gyg0m82Rwj85M01ve4dms0m326XdTrUS+v0+09PTeO/JsowQQzXXxOoRCSgFIQ4YFj0cJbH0tPwE7XySEAvakxlzMwvk2R1uXbvF1csrFAPhR3/0R4lxirXVHRqNBidOnGB2dpbVjU1giqmpqVHaySi5Q5Wp6SnyvGTQ77K2fJcbV9/g0Q/+2P2fG+MtI8kLbuRNj1p71kOq/ROSou99ej8D44q4g8qzRUwKeNRIiSb7YZ2rqpWAXuXBx+q7L2McKdR1aGeMCqOASZek1pFwXhsaXNqHSwqBfi352iNPfq1g1l78XW9+lFohGK1m36/Gfmrjie69r7tCYW1U3u/NrxV6N7a+msH2hlX96pz3r2GkitOvA5Vrz/HI1gcpHbhsEIIQXBNwhFDrFJXuIJVC4wDqlD9BQxU1VD0bWivU9bsX6287Q0M1nyKjV1Oqzyajm0MrHUMqxRoRJAihKGnlBb5QChUGUfB5RoshuSqBJoqv3uuASqyM3ckwIZIC3KUaXxxpbKkNkCLgcSmKTyrDSBW5EgN75IORUaAaL6MH1QYeARlQhlVu3r7CpVOLnDzzOJ+/sk3RnKEQre53lRJYfx8u1SBKVHVLKuujaFXXSqvvUdO5O1G8I12jRHBDGlnk/IVjrC/fZrrdop1nlWPFpVTQYUG/0+XY/ALLd++iZeCpx5/gR37k17Pd6bK+uYG4DJGMLIO5uSlUlaWlu0y2WiyvLTPoDXC558LFx1Ba+CxLh6/kumPHj3Pjxk3u3LnD4uLibnqC7D4VopJSVZ1PKeqaakWkXTiyrIG4gry1zcLCBL3OFi9feZkrl6/QbrX54R/5DfT6fV5//Rq5yzl39iQzU8Ly8g1CPsup2Rk2BwPwUziErHLqqESGZUkY9ulur7O5ucmj7zv4vbmvol8X0QqBqlhWelFEHFmW4yTDk5Fpvsd7XxQFIYSR4i+Sim0hDu+T1crHgAciPuXHlClfJZa1gaAOz62K55DCPFRgWJZjk+7Dc0+xMU25tG8FdZGJt5P6fh9lvhH39ZuduhDeA3nAJgI470dTnQO8VsVUFCCkMO4gKRx2JBDV31ctPKUD+fFNXAaZpxhWOeyu+qlmzKTWBwIQQkTqiUnqGX1fGO9+HDjfwGtBp7NMWUSajQmyfEguGZ3OFs3jM4R2TuyFB75HDvCSpz9ipavLvd6eWI4vSwNWqfnenWmGihBpVFeY0cqFQQemxbG1usqxuWnOnpvj+RevoO59lLFBrxSCz4CMoJCFHCGlPgVIM+4hBUGVNP6KplA/T0QajkG/R+4UITDobtPZXIEYOXf2FHfurtJwcO2NLo9ePMfynVtsbK7Snpik0+3Rnmgz6A/43Oc+R3QNojgefeLppCg7T6vVYmt1kxAijzxyibIseP3qTd79Le9mYWGBqJFut0uz0Rh59QHOnTvH+vo6McZRQUNcmZ6iKspDQjIcRS3oDzq0JyDLW8TgcVlGMezTaEKjqazcXeLqtWtMTJzkXU++n3Z7m63NwPLyMs1mk0uXLrGyssLLr73OwlyTkwsTdAZDyOtQRIcXTwgl2/1tdLDJ+vo6q6tr931mjLeWlDNPquMTd73qqX4CQMS5uhClQwljEdmCE58U/CqfUsURCUSpPe+uUvJ9KhwMI2dF0NqXlgh12H6STEbCawqTrUN8NQnpMZ3B6DrYLVz14Iuu5ZV6bNyrjO5R8scVfd3rdzaVc5wxzXD0U9/n/Up+ZDdBdvzeO/YU3BttN5rgsLv/9jD+jRUaocxwOoXg8C4HcZQxUqCUKFGTPOFjettTTbiUWhijg+gYTTZV3ns6UGXEC6AxB7LdOotamwQiSKgieGrDnlZjTOW5Vsfm+gaLi5END+t9x0Ads9MTTN+5SSe26dEgVJ9N40kKpwcd1SPQSklO90ArpV6TLKZCKYKLSYl29fVEiGHXsaHJ+oiMRRupOlTbKbxf1ljdep6Lc03OnT3L57/8PK3j72KtEErviELlCEpGEHEp2jDl3NfvgFTjmB8ZaRxayZDp3jmBzAESiLHPMG6wObzD9Te+wvH5KYbFkMH2kGIwZLI9waWLF7lx5Sprd5c5tniM3HnCsGDQ7fEL//gXmFs4RgQeffwJnMtwTpienq7m7VXe++yztPKMF55/gYVjx5idO05kNo0EMkzGoCpk//z582xtbZHlWQrfH6U9KFWZIzxCI/Ns7mxThhKaQrPdYlgIedZA6TB3fJ0YevQ6XYpBwUx7lkeefZR2a5KdrR7FMDAzNc1jj54mhru8/uoVzj/z7UiW4YbpO80qR5u4ZKguYkkRCrrDAZ1B/9B35L6Kfp1znzz5yTP3MOR5Tp7no+rXqkrQNp1en52dDoNSCSn2IFloqnyY9GZoeig0VjOXO8D7eLSVW8N4JxNrSZs0YUYRCvfgLKCotYDrRp78gOwdA0Zo9d6X6W3Xcc+JA814kAClIUuTmDbo9QryRkajkSOlUpYDirJLoym4wcMIYuPCYH2AFBK4Z5Fke7ZTlKLc78Wrqs1KCvETjex0So7lGbHXYXYq4+RCm0/9y4+zvj3DyfMNOt2CTvTkrQaQFOJAA9GcqPsiBg4gkqUUCMoqWiKwsd2llUfaky00DondwLHj8zTzHNWAz2BtdYW5yQkuX3mNzfVVjp9YZHH+GDdu3qE/6HPz5k3+2cc+QaM9zXd9+HsREQbDQTIEO8etmzcRoTL+lrTbk2TZJK1Wi7IMNFx2j1Gq3W6zsrJCt9tlbm6OXq+L+Cp0sd5WAiEOGQw6KAXOeUQ83jdpNJpEDUgoWFm9ydKdG7RaTR458RQn5s+zHr7Kzk6Pl195mYn2BFmWcfnyZV5//XUWvvW9qbBPoWRZTuYcDac0BVQLhoMB26ureBE++MEPPvixMd4ygqa8+hgDQesSVCk/MulZlbut8qbkvq4oLYAnOJ8U8FAJtDGMBPFEpX6r7KppdXimG48OYDcUVepxofrRFKZapxCk3SWVWxHUKRJlr7Kv9/qS6/NJ1F6xAzeqjlGJT/XrIew5X1M1xxjdl3HDCQfc193v8F7qIqvV8yPJML27v8i9d92+ha8XHQtNHxXVJEXxCYw86GVIOebeJyW5jEoQqVJz6vJ3KcJHY1I+NSZ9Q/Hp6xx7KVN4u+x9RjR9x/W7Vkc+JmNfTGNL5YWP4qrzFTJyhsPIqROTdJbuUsocA3IKFbxGvBaIC4AbU/LjyKBXjziqdYpRrU5XofPsRhrVKlWA0aOaBss4ujZIaUy7Yf8k66FTnJTML0zz9KPn+PIXvsLdu4Ezx6s6RJrqKrnR0UA0pTrJuFlUK8cMdaeiFCklMrLYkiGIC3gCUYdAn4mW54knLjDobDHsdii6PXrbHbbWFa8lK3eXuXTxIseOHeOLn/8ihEhna4ePfeETHD95hu/68Ec4fuwEW9s7ZLmnLANvvPEG7XaLqIHBsGTh+CLSK8G5VEEfEDJEw8jWMzs3y81bNyslPxkzBL97c4FMfFKmY5G++6o+hNAkazRwlIgO2FhdYfnOKjtbHZ544gkmJiZZubvC8t0Vlm4vEWNkaqLN3TtLLK+scNZ5Cjw+ayKa4UURLVEtUCmJlGz3ttkZdDhz8eyh781DePSrQlmhbkPyYGW/9sCKyGgfGqqwuJjC89VXFh71pJC3MYvqKOyjVgpM0TeMdwSqVbGaQMoUiwQcIT5E1IUrK8/XaFfJaqxV2Ou4IbGeiPBViCx75bK4b/sDiCLkJK/3zk6XY8cWaE1MIJ2SohwwGAjz7QzfcQcKz3uvOykLe/Yf5Z7PRdlnmFS9J7wfsjRpu4C6MrUKajRwEsl8wey05+bVF5loTzG18ASuOcfGlqPZniDKgEhehS3miHqKhxgOY2VISeH9qWhQo9Eg0Geru8PW5ipL116m3XmBRy5e4OaNq1w8e4aPfOS7WbpxlS9+/rM88+QTfPh7vgtizue/8GU+9alP0+0POXbsGN//Q7+B937g2yBrsL3TodWaYDAYsL2zzcmTp5idmWFzc5O7d++ycO7RFI7vhEazmfL7xu9OltFoNNje3mZ+fr4KlauNGcmFIC5SlkO63R1UI95n4DxZNoH3GUXo0e1ssHznCrmLPP74k5yYusCg4xAvPP/889y4fgPJhRdffJFjZzOeffZZ5ufn8d7RzicZZIpoQYxKqSWdzhbXXn8FH7o8+9QlTpw8/uAbb7xlaPRQqdBJwI2IxpQDS+3JT8+SOCDKyJMVcUhV6NNJVYyr8thVNatBKwFfUxRHrIRVdaQeuyMXVAo5VTS1payEfSpBP6l7yYun1dFT+kfaViWFe45LNbvieXWte7zNNfU4dW8kUa2YjNsCRHad0UbNfoNtHSE2XvsFdhX48U2rZTomq95D7e3fv8yU/K+HuksGJB2UylAmEhnl+dWmv7G03kILxPkqZ37fNyyVh55awWdU16NWoKtD1Z8Y//Sev4WU4jgqhKckg98o3B5UPEKGakpTE2aYnJyg04Ne4bh1Z4vTp06wfmWLbqpcXD01tfwTR/UENKZjpuiEynAoOirMh6aCd7Eam+rxRgBc7W7RlFJQjylRxq4GiCXelcxMtrn8xqtsbGzwzDPfwY2dHrExw26UEYwiYFRGBUpHyZb1Cdd3LcZqLE2VBrIxI4o4QUPB2toSS7dfQIcbPHrxLEs3b7IwOc33f/9H+eqXvsxrr7zCxfMX+PYPfpBG3mQia/Lcl79KCMLs9Bwf/d7v40Pf9V0ogs+bOC/0+31u3bzBk48/wbFjxwjlkFcvXyGfnsf7nCiuSmGgikZI9zHznsmJCbo720xPTyeDzijiIxk3vDjCoMvmxirlcJvGRIPuoKA10aLRbOKGA3Y2N1m+s0SvU/C+97yX6alpNje3aDVbvPTSS7zw/IvEouTKG1eYm4t88IMfpDEzx1AFl7eQIUhM6YpF0UFcn5u3LtPpbvDoo49w4szJQ9+fB+bojyrr17my8mBFf7w1Xp3LNhyWZD5ncnIaNyjph0g58taP5XFo7bFLNznNiuPHtJnLML5RKOn9Fq2ry0SCKKV7sCCTDOC1RFpP3LWSL4zC8sePJi5V4689+vW/cf+29xKi0MhSjla3u43znmazAZ2SshwyLIRmK8d5Bw92inNPm7w4NjdWxDoPuEJw5I29oftRHWVMij5SoC7ifaAYlCxMCN3OCs4NuHDhAqvbU+wMIriMLPcMxJNa4kj6V+Wh0o+iJmNqTCoPXuppFoJGgpZVFfmIc8Lv+l0/wWSzwcqdm7z62itcuvQIH/jW99Ht7rCx3uXOnbs473j2W95De2aOH/qhH6QxMcUrr18myzKyLOP29atsb29zYnaKlZUVirKgLAtmZmaZmZmlpxkTeZOiP9h7X1WZnp7m7t279Ho98jyn1CG7wlVERAmhoNfvkFedGHAZuW+gCp3ODuvLS5RhwPmzJzhx4gTFZsnG+hafv/IrfP4LX6LXV3pbPc4Vkxw7dooz5y9QDnIGgyGNmZyYKUV/kIr0DTehHHDh/AXOn5plcbbN9qaF7r+dhFEe6a73KVWSFnbNWFUpPXWog6hVcSWVqlp2LaTpqESPVIWqEBn5GOqwWK2UZRmFv1LJs6kGSf1ZGY1fiZIqnJW6BOCuEaIOXx0pEiIjQXxcdahMFmN3YFfzqLceBRVUm40Fy9bOurdd2X87Vdo3f2my799qL9V3JzCqQcW+b2TvLg64yvr7PzCl7JtF0X/wvLp/66/7iKMorcN3WDsI6ncfaoV815s/7pGuI5Fd1XoWdbtF7ajfyrpAJtX+ktFv/Bzu/3zpvo1263pQ1QBQankgnX9UR1DHMCj9oqTR9MhQKYZCr1CajQbeKS4EHL4an3SkWOoex+duAvNoRBhFTcpIgddKl3KSCt85B17SuDmqqzRKUaiipDRFRMQQ6Gxv0+p3ePezz3J9aZOhtNibjVibXqtWyCRDqYxHg4+lRiY7REq5clVURBp+lUbuKvkkUg57TOSeVrPBr//hH+L04nFW79xlc2Oddz/7LI8/+hizU1NsbXe4cu0qWdbgve95L+3pWX7st/2r4D0vvPIqeZ7jHKytruJEmJ6ZptPZYen2bbr9Hk8/9SyNzFNWRlqHS4UNq/vpnePcubO8/PJLvPvZZ6t7m4waTpMs6rxQxpJi2CHGId5NEPG4vEWIJdvrK6zfvYMDHnv0USanJnHOUQwLnn/pOZ5//nmKcggh0u10ef/7n2Vi/jwrmhFwNPIWEgKxHBJDwTD02Nq+y/ETi7zrxOMgkY2tdS4c4tS/r6JfDNPXUlfDTv+pi1eRPCtai52pAqXU1iwUGYU+KWWcAMnIGhkNcZRFSTEMKde1KqyDSGpzWRkJNCYlIt3+XSRWYRW1cWDMUBCTHFh5y+rP1Zan+iXZ/RFfshtBcDCuurp3Gg/btzLN9A/SBh7O6qzEB96vXav5O++evVN5c71T77cjSNVZH8RDikgjoSe90UFSZE6oQsRENBV6e2CpZyWWWSW+jj8bdXRArcCBuF2FDpKArdSh/dU6x2jCP/yIyjAI3SyyKiscc1M0mzO0Y5t+oXTKku7JFlPLSr/bRZpthloFt1eF3xwBpwEnQuDBUQul6GhcrO/PROariRVUA2UJWqQ+u9E1EIRQ9olS0h1ukXnPpfMf4uUbr3Fn8zYTM+fw+SKDQQaa4d0ELg7wcQdUEJdmXakmzNqjsVs1WFI4oKZr8QzIGNDSgoWZJt2dDr/4D/8RV577NE9fHPK9H3gPJ9otXn7pRa688RrrS3f56Hd8BycXT3LjxnW0zOjslJy/+CQXn3iGzW4XaTYpQqDpMyZbbabbU2w1WywsLtKem2YYh2x2e6wPe2STLVSUclhSSnZP4cAYA1NTk9y9WxmVnCMEj0RHUz0uOjItKbsDiu424jvs5AWtxjnEZzjXZ9C5ReyucfH0WRZbLVxs0Omtc+XmLb7whRcJRYEWHcpuhyfOf4RLp59C3SRDPwOTLfAlLZTMF3TiFqqbzM1lzE/OMdHM6HS7DIsHPg7GW0jUUAnL44Hxaez0JCdREJC4G3S9q3vVykA9guhIb06tuajkF6nmONgd+MbkmjGdhMrIgMrIeKDUObH7WmLt6pLVour9rNITd1XKfWOa7jMSjDEK063EGYFRCP+oyDW70QYH81ZZAeqDvN1z/v3O/34K9+59HT0j1X9G3rqRE2p8ezl8X1KpB6OotYO2fafzcDLlyFzyFsgt44r+YfuTSg4ZGa/SwqTqVuNBfV5JV5HKCED1ztfPiVb7Gr2do4rzXw/jBgRg9BzUz1Rq++pRUvvwMsIglMwi7JSR7QhDFdTXGvRoBGN0cup2I4iox670l6vux14ln5GDpJLWSLXyFC+p9pmT3WLrlYUkeddjilbKnScWkTNnznDttevcXIYL73uWbl+q46WozlQMuKq2Lx7nUgHm+jtI9yGkjgIujbFOwEXBx0jDeyYbGZO5okPhkx//Jb78xV/i0UdP8b3f/SEeu/QIFJFPv/Iyqysr/Nhv+k1MtiYIRWAw6BFjYH5hlnPnz3F3dZ2VtVUkS+30fO5oNjJ2treYmZlkZ3uLiYkW7ck2w6IgxkDuSQV9VSA6nFKlRjh63S5O4NjCMTpbHaZnZqpU9tRFjghl3GK7cw2NvWRwyiaQfBLJGgSNbG+ts766zBOXLnHu3GlCcPS7PVY31vniF7/EnTt3CKpkIpw5e5aJ9gx5s40rmwipHp5UVhqJSjN3nD1zglY7Y7LdYlgMWLm7eejzef/Q/XKfB0uVGMdcX5J8RKLl6AsXxtrrpVJ7qSqkV8oYKLUEnwrYUFatHTSmnDsnqcZW1QtbYzxQlp9w1QOtYwp+9CnXJqZWOEhEXcluuJtnVBCC9NKB4FyBPMDknaK63nkD9ZsrVPcwI9mD9xVCGBs0DzvU+ARpPAx10cqvHwWGb5lcUQu/ac+uyivfu42LKfzqQXsi5AcsH1fq087cQe/jnvSe8c/e54gRBkPoToDmG6zqXWYmFpnWNsUQNofbbE23mG1BZ7WHa00QVCilgXqHaInTSF4ZGgt30PnvpXS1ZTtZqz2BEFIlcCeKxgJfKo0iJ4gnSI6KkvkhIW4wiNu0505w4+Zdbt3uMnvyPHk70u+v02q0GRQZTlrkUtJwW6m8QXZqpNxr1JGnw4kbFSBt+k71GaXpHE1pMJnlzLYcnUHGxXaL8+99H4+f3eLSsXlcd4fTM9O0Lz3KiekZTh87SW+7hxZwcvE8xxaX6RSemyubhMwxFE/sD8gUfG+Al5ylG7eYnp4mCLTmpohlj0EG7YW51A4QCEV5j8FGxJHnnunpaTY2NljMFgne01BPs8iYKAQfC3a2u8T+NuVsj05zgM+1GqZ3aMgmZ+YmODExQ7P0LN9Y46XXrnD5xi2+9QPfw81rl/ml/+sXefLieZ48d5FJf4I7W0oxMUMx0SALA9oIQfqErEtzIjI3ozSzAhQGg4LtncFBj4Dxq0SMSQFP07HuCv2aql+rxNGQsGeWquyCo+ZUQUfFPVNEANRu8eio0mrrwFMh1SJJO1Kl8vbUdayTx85VClJECZWnTZSUkw/VNnWrq6pSN6O6zWNjbBgdtVZmatkjyviwXpkaUmLwrjowvs3e0KLdzIM9vDUTRRpx7mtR+FXh/kUN9yvmY4tHv9QeXR0ZSncdFfVmY/n2e9LFZPffKup0LPp55FS6n+j4Tk6tSK/FQyj9X6/cMqbgH7yv3aJzldWfkVlMktEsjt1HqcNwqL3T7Fq+NMkaqukri9UJiOreWopv8vzTGemeheM+bA1VCTpJtUYKhX4omUfYKSKbUSiCR7MsXaMEdCR7ye51jfLc08k6ddU7X2+nI8OGVjdlVLSvCvdJVe4lVbmvtve14jp2LCeOVt7g+NQC62svs7O9xZnTT3Nz6RYsPIaTdH+r7Hu886kbj3M4cahTQqyMAdV9Ty0QAXE472j6jKZztLOcyVxo0EVdzly7xbNPPc7J0wsszi9AjKws3+XMmTMcX1hkenKS7Y0tIKX6Lc7Ps7iwSLfbwTmHd57N7R1iSGH1U+0Ww2GfRqPB/NwczglLS7fJsownn3ySzDtEh6BNhCw5mqk6HOQ5oMQyMOwP0XZ9L0eTEf1ina3OZaImRV/dBC6fBt8kqpJnwumTJ5mdmWJjY5PBsOTVV1/ji19+jvd/4P3MLczzSx/7OJcuXuCpZ56mOeG4u7pBOTWJkCOSp8dCUicGyaDZ8OSZYzgYsLW1Sbezc+gj+uAKWm8R3o0VjohK5iDPBKeS2hlEIUgkjCIGUu/ig177zDvc6O2qWnxVTSaq4BuigK8HhXFjc12etvrdsv0N4+giTnCSo2WLflc5Pt/EZ4GoA3q9PuWwTbOZ47M+qdmWw7kkrLNv4n4Y3MiCXv9ENOwWDtKyhBjI8qSIi6Q2KQ1fQtnlxMkpetu3WFu+zCMXLuLac2wNIlkGviEUocA7pZUL7byJeEE1VYQfFiVlSNXpM+93Q/UEcgetzNNuZkw1HZMZNBgy03Tk2uN97303M23hsTM7zM3N0e12U1tU7zl+/DhFUVAUBVNTUwz7Q4phQVEWbNzdYuHUCfI8Y3VljX6/z2R7muFgQAiBixce57mXvsjwdh91wvETKYw+z3PyMs0FekAAiqoyNzfHV77yFaZmppGJaqqS1MIqhCGDQY8QAg2X02hM4Fye0sTKATPTMyzkE+QM6XY7vPTSS1xfWubs2Qs8894PsLm2QlkGPvShD3Lq1Cm6Ct1ul/kTUzQaDdxQIQQGwwHeO1qtFs4pxbBg6e4dVu6sEwp499f5fBoPTzkK/9TUkYd6Kq+V5LHQ9aoI+q7PNZJqI1deLREyUdQnZT2SvPMSlZK68LCmHWnc9c6NMfKmSRKMRaSqQu2pfYyjQl2SUghEqcJaqx9Si6wkx+jYuY4pqXv/GZFEmv2q/+66OFI2d893P29VO2DZvdC3ZH8Py9d3/pUp5x5te0xgHCn+9aqx3+u2fGPPxp7s/fqzh90SrZ+hb05GyvlDpO099L4OfX7GNfn67agMNdUd3PXq61jwdXIc7irBVUWOUSG/Xa/7vqMcfvwHfGO7kkMqzCdVvjyauiGpyxhG2OkXzDcmaOQRgmMQ06DVbHhkUBKiw/l8ZIQcGQXrVAUZLyA3MgdUJ7FbkWB0b6mbGyUl37mRqQtfRTuPDHbO0SxJbeJUee3V13jXE+9jrZfRlCZD78h9knC8SmqvJ1L5YyodrK6dopXZQ1LKgBfBZY4s90y2Wsw0c1peyGIkiw7vm3zLs0/TaFzg0mPnOHXiOBvra3iBVp5x6tgi/V4XkeR4bOQ5KyvL+Mxz5epVslY7GXFiSEV5nVCUBdevX+d7vvu7uHrlMoIQonLs+InUpYqIF5+UdEhGmbExHOD48WO8+vKrnD59hsFwmLZVEI1oiIRySFkOyDOfdE/nEZ8ThyUTrZzT5x9n7c5dNrfWWLqzwtr6Os++6xmeffZbWFldJYSSb/mWd3HmzBnK0OfFq5eZmn4ElzURyYAS54Qsd7jM43yK+uh2Oty5fYvNzc1Dn8m3TdHPnCJS4qKMHtxmDqUqLgplTG0kojCqCTBKGRhDBFp+96FP765QEEfBLhGIPlbGV9lV7qkmI3atgke8O51h/JpFBJyXlC9VTNHreNwxwedDGs1IMSzp7AiTzYwsjwwYJGXBNwnjLoI3EZ2SrNd1s66QIgJ8Ru52FQtEaDTKyqOfqvOK9pmZajDdLlm6c4tTpydoz85ya6WLNGZYnJtka9BnopWTOZjIYSJLM1C/HOKkBClwLkVcJev6rkff6RA0tRPKfE6eQQOlGHS4e/sGLhYp5H56mqmpKXZ2dlhZWeHVV1/l3e9+N9PT0wyHQ1ZWVvjkL3+S51++gp9ssVn0eeSpJxAROjs7IyPD2kpqjzczO8Ps7Bxzi9Msr6+ys7SC947NrU2KIifPcvwBwl2MkcnJSbz39Hs9JiamqSsYI0qIfXr9DmUIeD/BRGOOzLfw3hGKQHuihUdZvn2L1199mdX1dS5depxLTzxNUZbEGHj00Uu8733vwznH6t01ysIxNTmVnhvniEXy3rdaE2TZANUhqysrLN2+w7AXyFzza384jTdNGYbAuMi914s6Ktg18tbXir9WboCIEyHPQEKdcgilS63wXBURKALiSd6oGKtP+zGPnVT/d1Xxqyq0X3xyQNThn3W7viqocFTxO0ql6KccWanqlCQ9OY7yV3evU6qrrcyHuqtK3IPufsLp/RQX4967o2P/Poxip3u+I92zxngruccAMKYY7Ikk0aQS74bQ308p39UJtJqx7zHs7D0ou7rDHrV6dPzd7heyWxNAXGpJTFa182vRHcDKRp9Hz83RbgWapaffL7l7Z51Ww0Pop7bCPgdcVXBURuo+ldFwt8r+7jmk83KI1JEOKf3ROyoFX3Auhe8nJXestV6l6LsQaUhJ0wVcGXj3U+8hy1tsr3WYP/84m27UlwSvOjo/lbrwaIToccGlqIPqZnkHee7AR3xW0sgCDd8gU1JaoUSWb9+k5aHVzJibnqQcDokh8urLL7O+vMq3feu3UpQFoUwtcl97/TJfff55nM/Z2O7yke/7flqTE2zfupFGURdY29hisj3JwsICy3eWaDQnmJ0/xpeee4GJVjup9ZWDORVfAo2xSutKc8L83CwLC/PcubPEwtxcavdaGY+IJeWwT1EMmJk7iWQ57cl5Mt9C2KbdzBisb7C5ssL1OyusrG1x6uRp3vPe9xBipDGRc/bcab792z/ExuYmUUsmJic5ffY8oTFBWUS8RjIpyZ2kdIRc2Nne5MaNG1y/fp2LFy4e+qS/jYp+uVtwJgLeEYg4dVWehiIuCagahRClqmq9PyAGnKutVRHUJ69QGYkuhcZFVWLd3qK284nAyLJXt0YRSmxQNowjSSWwO2kRizkG3dRDVnyX9jTsFI6dDc9MG3w+RGM1mbo4pjDURsKHw2mdsxZIWf2RibxJM3NkosSQRIrJyVR/JLgqtDPCfFMYbN3h2EJOI+zwygsvsXDqCWYXF+i6yImZJp1eaq+SS4HXAo0BVyYx03tShlKMKGUK3a9+8jzSyIRmFsmlxBNxOqTob7K2chNij/bEDMePL7C9vc3ly5dZWlpibW2N6elpdnZ2WFtbY3t7m5dffpnl5S3OzFykt90DoBgWDIZDZpstsixnfWOd2dlZbt68xZ07dxiELtdv32J28QSLi8fodhziJikGBWUqBgNUYYZOCKEkyzIeeeQR+v0BEzrNyMMqJUF7DIsuMUScNGnkszjfJM8bxEEShzbW13nj8hsAPPPMuzhx5jxZo8GdO2ssr6xw8sQJRITl5WVu3lxm8uQlsjyjKEocqT1so9FgctIRigG3bt3ileefw5Px7FPvYXpy9q16Uo2HQcat8tVLU3mTkle19kjByJulVHJAWpa890rDychv7kUIKCHG9Hi5yhDgxipFjyv5COhuvR+tUhZHvvgoOE25lVGq6vuqVSlMqNOQpDYVjOXyCpLqkx7QUaRODUBJrcBGfsP66g64ZW/yFv/aZuz52nPjDrmLtYGpUrX2TxN2798OdqMvRm/5/ht/aJRAvTy9a3XhvP3GgdpsIKO/hb2xG7vH1zpMY7THqnVfFXKfQtYbDKXJQB3qHY0skEtVoBdotho0Gl3oBYLURXfd7lmJjHrX7w0a2R+9k3qA1AVLxSVDpxdNBf+qAqMiKTe8dsCqgAuBVghkRUkcFixMz/P5r7zAyae+jTjVYhioSwUmY6W61FEtRqKWaSwNOcRslEohkvLyM1EaDSXPlZYvyHHkChkFnj6Z9Gn4klYOJ+dn2V5dZWt9g5vXrtLd6aS7HJVhMWAwHPLVF77K1RvXeOTSY6hLDt5IIG9mOCc0mp6rV5c4e+E8K2trrK5vorrJ6vomMzNzNBsT6S6pI9WJKkEgjjkWxCmdzjaLxxZYX1sHmU3Lq/VOAqEYoloiPkdcA5EWqh4NAUJBHA65ef060Td46umnOHEipVxubW/x4ovPc+LEcUSEGzdvsryywszpSykiAJLu6krQEp+l6IlrV65y+9Z1Ojtdnrj0GPPzC4c851+Dor8/VEpEcN7vKfxUluVuzmi1vacS5qSqTK1CLuDE411qA+FFyD1V4Yq6wuS951BqQShLhkWgGEZiFBw5GhUXk/VMJTIMBaM8frKqCmQkhhLnPN7n47bAEc65UdeAlO/qRnUHvl7G78k3I/W9ecBWpBoIxjuVhy7k+E2MUimFRU7OScKgw/b2kPmFBjtL6zif0dnOyWcdjUZkp9/H502iCxDqqX3XL/gweAJOIl4gc44McFoimhSKRu7JvNLIhwQ8wcUqdB8arqQxmZF7z+UXX6fduMD0xAy5FxquoDUZEVek8asc4sKAUKbfvfejavd5npPnOSCjCd/njZQuJbWiX+BlmFoeap+FuQlOnZhDNTAYDDh58iSqytmzZxERer0e09PTxBhZmF9guxfZ3t6h0WggIuzs7NDv9VhotkFgc2OTs48/xldf+CJr66usb62w2dnmwqNP0Ov18NkMZRkJMdwztpZlQavVot8fMD8/z/MvvsDsyUUQIcuVUHQJsctg2ME5TyObRss2jWwSUHr9PkVnk+7KCpubm3zgve/h+ImTqG+y2e1z+/Ztlm4vcen8aTY2Nrhy/SYvXrnNe+fO4r0n+KrgX6NBGbosLy+zfPd1hr01Tp8+zcLsIjPTMzQbE2/h02o8kErxln2557vGuNqdXZWeqjzfrnqVvdbmgToUNglqpSQPV6qhFhGJ1KVvdGREqMeDui4QVYqhpn7SMaIacERUc5RJsigpSlHTfqPGqpDgSDLfbcdFqtatqpVhYtSZenSpDxqBxkfzb2IR4xvLm5gSdeynbgIzUgjHoimsWtGvNnvHg9Rq7uG/yLoU5+53WavQu0p8bSSE6vscM/LtGhuo9JvaALebWKMEglZKv0Zi1qIbYavTSfM+UGjGne2SY9MtJicabJfKUDxBPK6u8J52Nuq0UT9r949EYHSFqQho8lR7Ag0nOO9SYT6X5EJFcb6kFUraDuYa09y8/QqaN5iYmiJONBkWjkZ12V4BjYQwpCwDoYyUUqKNHUSU9sQE7clWpTfElOqhgoij6QtaLpCJkscShpsMt2+zONvg1Mk5XBFo4Dg+t8Czz7yLu8t3aTSSAXVyboZjWcb0wjxTczO0pidpxcBOd5uN7U26vQ6Li8cYloE7q2s8dukSz73wMjdu3GB2dga8Y3J2lv5wQNZo7BbhJCn2dQFWJVYRhi1C2GFre4Pz584SQ6wiP5PMpyF1BpK8RZHPM2SSRhnxw4I46NPv9sh8xsVHH+Pxp59lMCxYWVnh5s2b3L27zNmz59je2eK111/j5o3bfPe5J1Mh4thPT5r2KEOXnc46G+u3GfZ3WJw9wcUzbY4vHrvv2HVfRf+gl2V/8bdU73HvUCZV/su4MpEKW+22X6it2E5SfoiKwyPk+0bF8f6ZNSWBggAhoJREJVnUFVQFLznqaiGXUTxNiIFQBrRU1GVUzSjvOffxfCGtWna8VYp+bTz4ZuWhFMQDW6UZ7zTeqmf6HYuUqERi2cLFYyg5/d6Q+WMKvoPoHOVgAucCrTZov4/Soih6wAR7unU8tKKvyWIukIuSSarm6jQV48rFkXklI47epUgKy/JE2s2MN156g8W5aWamH8e3FpBWC+eEImyT+QAScQxxlJCDcxlZ5smyPPWgz3OyfO/QHl1Eqg4CmZZkOqThAt3QI3MFi3MzzE1PEMImMzMzvPbaa9y8eZMnn3ySZrNJu91mMBjw3HPP8cqrr+CbMzx67jFWeztk3rO8skKj0WB2bo7NO6usra3y/hPfydIvLbG2uYxkkeBgbm6OEAJZ5lFNxYbcvhzPdB05qn1arRbtiTYbG5ucP7FI2e/S8gX9wSZl2ce7jEY2hTBFjBneZwiwvrFOsbPNM888w/nz5ylDZHVzi8vXb/LlL32JXr/H9vY2zz33PN3BkLNnzzI9PZUUt7Kk0xvQQlEt2drcpBimbc6fOkEza9PbHlAWD9WT0XiL8H7Xp1Z71euivKq7xvmoSZh0mpTntHUSbuMotNajLnnIXVQKp0hUkIBTrRR+SXmWdUiv7o4HihBjqhUQIoRIFfopVYRARKOvPDqpOGCJEKt9pxpOsVIKao8fqYCWwqgN6di4I1AZLyoJfxTtaPPsN4payR+3PY1Fdo91P7Bv6Z1K7cFXSS046wJ9SUepUusQqjRzInUYfdpu97uvDXbVKKFjyyVUbT/TvKeuQalKUZZMOqXFkK4K20XGvGsw2Z6g0e8xEIjik/ygIe39vvJ3bZygOjvZLdgptQIbcUS8FHgRsqpKvq8U/tRit6AlJU0iyzeWUHWcPH2eKEKWQdsJQZPO5epYqhhTO9OQAx7nh7g84vOSLOumISvWUZI5QoNMShoa8UBDh5TlFi52mGnnzLRb6KBgwmfcXV7h1Vde5bu+57uRzFOqsrG+yquvX+a1y68TBE6fPUMUYeHYAiury6goLnMsL6+wtb3F8ZMn+cV/8n+xvrZGf1hQhJL3f9t3MD83x06vN7pvdYHHVDy5ds5CGUqOHV/k5s0b3Lh+nfPnzlNoHycpCiCEISoOzSeI+RTRTaBFlzAoKAYFMhzyyMXzzCwuUBYDNtc3uHNniRdeeJF+v0dRFLzyyitsbGxz4dFHyZothsMBMfOgQ4hd4mCH1ZVlHLA4d4JTJxaZak8wHAxGxRcP4r6K/kMpAuqrwjXVgyUpfGP/Z4VAjIpXxavDxVQkKlShbRElR2nue4gPqvLuXMo19QqZOEKQqrpismRnXiHzROerEdiDeobDwDBU4Z9V9wDXyEYFLWq896nCb32JZpM1jG8+qhAs4iQEB0zS661wogV5s2BYesKwSRk2mJzOYX2bqAOGZRefNxgZMNXxsOWRvUuhacl7Dl60ys9PBfEyp+QiZJIhVXEwFYVQkmc5K7dXmG3PcGquye3b25y6cBGfZ2im4HoEiqoPrpJ7IWt45hvt3Yna1VV591a4G2jyOHot8VomZd8Fhv0tWjmcODbNzHSTTlf5yle+wic/+UkeeeSRUeG85eVllpaWeP7557l16xZnLk7yyKVLcPcWZ8+e5e7dO8xNTFEUBbdv32Jios1wOOT27dtsdVZZODFH3mixUIeXaaqP4jM/qoBek2VpWmo0GrRaLU6fPs1rN65x8dQxQhyAG9Lrb1CEHs7nNBpTNLJZNGaUZcHW1hbb29ucO3aMR86dIssyBsMet27d4itf/gpXr12FsmRne5vezBRnzl1g/swlGhMTDPoDhllGuzlBf3OTq1deYVgs8/73PsX0pIBGBoM+vV6Pzk7/63g4jTeLuHpOdpVHqHIcVPqwVj3tg7qqTsbeSvORyrueNGaUpPiXUUEjLjXroawq7ku1g1GeZp0bX6UDxAghJqU+xCoSMTqih+j7KRVIBY1QEpNzonJcRJEkbEYFyXFS5eL6up1x8n7tVw/rElE6Vln8QCOksDfK4W3lYY55dNTeWtHbE2gypt2Pdag13gGMvzWjQp5SNwff/RsgSgrnTuOBjj6cPPP197ob2L9X6deqTka9YZUKpCCSIoyLwYDmhKMpQ7wWhNBkEJSpiRa530Fi6uHhVHc9+oynCoxfzF4lH5IjVSTJHZmk/vReyip8n8opoXiJZFJ7/SNeIWdALLpoLDh75gxXV9eZauRoHNKQSMAj4kdRBT5zOOcRyVLBdN8AH1BCMoJWlexBEQkIBZ7k9PAAscdwsMNE09NqZGgoGcQe2xtdfuVXfoW82aTVbDEMJdudLtdvXudLX/oSl69cYW7hGK3JNpNTUywuLrCzs8XM7BxZ5lldWabRyGi2Wly/cQNVJWs0mZycZGFxgV6/N7qfI5uuCBIEXFWokCSPFMWQM6dP8/Lzr3Dx/HmcU4hDhsMOg2EfpIXzTVrNCZx4NEIxHNIIgel2m5Pnz9BVWFld4fr161y+coU3Xn81yROdDreX7nLp4kUWT5zC5Q1ChLIMUA6JZZeiv8PGxhqPP3qR47PztJt5qvdSCsPBkMN4U4r+Qd5cVUcMu8tVlTzP7/Fae40ETRGxrq6I6yDUL5gIOUJr3zmUsK9gnkIG3jsyJ+SZR2PKDwklaBS8b4D3BKnD7BxoRsMHBi4wcCUhpGiEoXPEsWsSkT2tzkTSRP0wnckNw3gnkbzfQBVbmdPv9Wk0mzSa0O16Qtmg292mOeVQGeJ8REI9QGldupqHFdWSYg+Z1Ep/qlxbL0tKvyOjmapvV6J75kFCl972gCdOX2D56svcutbj3MX3Uw6HSAYNHyniAI/QdJ6GZuSS0WhUlXclhZFBuGf8zaqQQk8k14iPioYBRT9NrNOTTfrdbVZXV9ne3mZqaorjx48TQmBjY4OlpSVu377NxsYGZZm83FevXGGYQavVYmJigtnZ2aotDXzgA+/n5s2bFEVBCJHMZ6OJtY6UilFp5k007h1d63lmYiKFxs/MzJDnOZ3ODscmWwzXVynKPmUxIG9N0GpO0sxnCFmLXi956lvNFmfPnqbZdKyvr3P7zl2++tWvcPPWTfr9ARsrd5ibusTFi49w9sJFurGBqlKGkuiU7qBLb2uL6elpJqcmyPMM55R+p8ugO6S3M2RjdetrfjKNN08dTChVCOxugd06vxKiT0JxDJLq9IzCL5PnTqs+U7FqsRV9kkdcdJRVGKoLVUkqSUXyYFchSIp6FSfgBfVCEYXoq600OTo0liMPS6q0DcFXzzaOAGxsRrp9qqrlScGPAtFJ5dmvAm7rQlmSZCGBUTX/6qTujUzkTaj4b1XrYJGxiIPDqxzrN6pV8a+S3WP8asZNMzK2wYF24sOWfxPwjU/7+xq/TNkdC0ZV7OtrGYXs7+b7C7se/1EkTdz/Ddf/7nYFqUcNrfO8d/3/aX+aiuBtb+6QtVs0vOI10isDO4OChak2TQ8upqIhjtRJAE3GQhVQt2vkHGnboxSC1A3Ekdr6Zt6ROaXhQ3JCeMhclV7oJBXm02QYqKMHPAXtZs7pxx7jjdefZ6sfOZnn9MMg5fgTSC2507U5fFXwNKVkp3NOcpRKleJUtUBNir6kY2oqdVqWQ/r9Lq1Gk0aWM+gP6HQ22N7s0+32uHTqDASl2+2xubXJ6uoad5fuoApb29vcvHmb7a0t5heOsbK6kkL8Y6Df7/Hkk0/y+muvUpZD8ryJzzLEZbQnphgMS1yWIeJHRhyBkZKfxltJufYo01NTLC4eI4TAxEST7tY2ne4mvX4XGhNkjRbTUzMURUrTCMMCUViYn8ULbK6ts3J3mbtLt7h6+Y3UPago2N7a4j0/8uuZn58npFLOFDFShBJCQRZLopbMzs6wMDdPuznBxuoKg50OoSxZXl7hsQ/+4IGP/ZtW9L2vvVzVo13FLdVe/BSO6fa9gkqGS6H7UdPEFuvQ/VrRh4ZCY+wlq9+hOIp/ShNadFWzHHFolvLBneSEUlF1eJ8RcQwiVbhd2ib3GZkLePGUZRqSe/u8+ZBCSWOsKi/HmCz79wmLMA7j18I9eysmvLf4Pn2j5+B3DMk6nX5N93gwLHC+SZZLNXg7Ot0dJmamgUiWOXL1B7zuesDXdO+NTu1jdlvYeCRNilU7Gyf1v3mawMWBRKZaTXqbm1y4cIkrL/0Kty9f5vSpj3L82CJLnVViOSBminclXhwen4rYIBCLqpaIVqlGUrkjd8UVyTK8qyZWUjGeot+nLPu0WjnOKdvbKWz/7NmzbG5uMjc3h/cZ29srnD17Fo3K1tZWCr3Pc1ZWVzn7xCWcc2Q+Y3p6mtBPHvWpJ55m/fIbzM/NU8ZeKtTnPNPTM6noUBUO57y7J2IrhDCqM9Dr9XDOMz+3wObmBo+dPse1Wx1EImUoaXpHljXJsibiG4Syz/T0NPNZg7IsuHFzhetXLnPtxg02t7b4tm/9Nrb/5ee4c/Map06d5MknH0d9gxgydKJNnjcoVIkhUhRDJifbXDg/Szlcoyj6bG1ts7a8xtryJks37/IDX98DarwJfJY0/VSxPnVvdknirUJiK689WtUBSpXyR/2kfTIuiSRP/MhnHpOC6hSC+urZjDjvcS5LT2fdAaiqL0RVayeIkmdupAykCtZ15eZAXaQvOFI9jnQmEGFmaoqJ5gRFhGERGRYBR0bU1G9bq9bB9buCJsFZEZAkgO6XtHap5agHTAYPPVfcb0Pd/WdMaTp8T3LolLfHBjCubX1N5yUH/H7/7fePRfc9cqVnOXbPu07uqIffcWV//67lkOXfUGTMqFX9feimb5Gyv7e13r37lCqcHBjdq/t19Bt52Q88v/TuHnbq6evYresxsltJ0mpSBFEdUVRVvB8p2zJ2/3ZHhHQuVQFwrb3mdcePJkGaZK5ACCnSp1DyRk7TQ1YEHKlVuCMZAGNlaNS6ncd+I5+kKCRXORmyqhVe7tJYlTtHI6ujDoXM1UYBrdR2RTQgsURjyWvXXuXGretMHTub7kEISVEX0r2sRqUsFS+orq0qNjqKTEqh8KH6XpIzNemEmUCmUMSSwaDHRJaTZ02yTJidWWSJFaampnjmmafp9noMuj3OnDpDv9vnztIdNKYWfuWw4NTJk2xtbiZ9LSrbG1sUgyGL8wu8+NJLLC4s0ul0QeHY8ePMzs0lWa/qepIqsXqkuh+O9KyISNVpNSLeIyr0Oz2On5yhowVlGKTeLHXr9xAr3bPSm6u5a2XlLrduLfHl556nKEq+4zs+xK1/8I+IMfL4E08wO79AxFFEaGQNYkiFlUUDzkF7ss2Fs6dpeiGGEomR9fVVbly7zt27d/nhQ96J+yr6TX+vp8U5HT1sUSMZQp4JIcbKkl23tdtLKF0SgCvLd0uV4FLm2mibmBNCKqo3yrXD4cWl41X57VkzJFNoXS5AIYSIb4wbtzxN56ubnf4tFcosMjkho/Z9PVfSD4FQKiIe73KohIh6304gf4vC96M4Sv+2NTsAkuD89qLA4WEkRwMB8rdwf2/R/ZJ762i8U3io8xIB3qLc5zCFFBNEH+lPrRHdJlkccHvpBLPZe9jprZGHJbY2S848Ms2Z4y2WV1Zo6RyD3jQxSlIOGmsgPdxgfs/unZN70n4aGTSqqvtZDGSuoJU5ch9pZkojE8ialPkCQklTB+Tap6UDYlxlONzm5vJNnv7A++j7Cd7YuULebEAomYxNmmG3D3iIQ5AhU5nSG/QJZUmWZ+R5g62tLYbDIf1+nxMnTiB6BpUGLs+Thd0XrHZXWQ+rPPboCYbTO7h2YOVKhxdffJ2ZmWMcP3aWfi+wuHCaGCPXri2xfHeT7SxwYjGnK13m5tv40CcveoTuFjeuXYNmxE3B8spN+oM+wgR3b/d5z3ueQYtZwFPEgPeOohjsLa7GroF1OBymlAQnHGOCO0u3GSwMGGwonS2h1An89DxxdoqdCcd8ocwOHU4zZprQK1a4svQ615deI2rgox9+Pyot7hTTnLhwkQ+87xzHTitLsclLdxv4/DQXOE671yXrX2Nubovjx49B2KE3KFlf32J5eYMb12+xsbGBWdTeXmofQ11pXyrhWuqeVrVkriDeVcYvRm2uYhVFmEJHK4FfFee1Ut6TcNpstJMQHpQQknIe6xZcVa/pQACplbzaM1hF1FSKvkhd/Eqrtr8RFSE4yDJHo1FSapcipHOL0bOxoZRlJQNRKfrV/0JlxAAZVQ1JVfwPeA61coQ86KZqHZj89bO3H/3h74aihwYR7Flcnf/9zm4UTv2w3OeVTXf24A0OOkT9bO3f9WEmhXu+Jj1k+Teaka3m4U7s61X4xz9/8L4q4xZ1Gg2VQeaAqBGpvsE62ueAfSUF/Z5vp/pvbYrbra2vewxTtVGiPq/dfY622y0ORq34jrztY4dVHKvZKe74JsdPTHF7+zaKY6ggztH0iqdIhUIhFROXqhvZ2DnU6UtKbURIbepynyKTfeW1zyTu1g8iOVUbrsrL18oZgeBRQigphj1Csc2gLHj06SeZmj2JhkDmUnSbc4ITj4gjlCUTEznTM9Osb27QaHhCmYqmJ70tUhSBtdVVzpw5S7ORE6txPJNAFhWNgW63w7Gzs7QnW4Qw5PXX3+CN169w/PhxpqenWd/c5Ny58/QHJetrW3R3emiMHJ9fZHN9nWff9S7KwRDvUpvd1eVVJpoTzE5Ns7ayQp55Yoh0u32OLR5PCnisu6+lqxf1o+91t/FimitEPcQGTz7+DC88/2VmphuEMKTT30FFmJmd4fixxaQHh5Rivnh8gcUQ2Fi7yhtX3+D1m7coyoIPfcd30m5P4b1nZmaG9773vUxOTZM3J7h5d42JPEN0SNN5JINMPe1mm0Yrpxz02FxZY2XpDktLS3S6HfJG44DnPXFfjdMfkKOfKuRXAUpxN+zFu/SkqdsNNdtFUOf25irJva+aE4eqR6Surps+O/5qxEgVUje++2SpH986DQhVThwK6snE4XzVBiIkRT+LDk8khmR1qovvMdrbQ9nFH5pk7X2njexvMUf88oCRh/gt5S28b+/UZ+ztPa+6UGgApymMToR+PzDbnCLznqEOicFRFoFGo5n60avitB7e69A7rQrVjO1dpAq73YuSDADOK875qqJtpI4EHikbgCNZx8thn9mZSb78uS/w7LPvIpY9mhMN2u0mUZXhoKC3U6AozUYTdUq322VzbZXXX/wyV65codPpcPz4cSYnJ+l2u4gIeZ7TbDb5V37rHyAoDAd9vAxQN6Df7yEC8/PzTLSEV154iec++yqDwYBLly5x/PgJOp0OIQRu377Niy++xNbWDq2FeVpVgcDzZ89w7fJlTp88xaDfo9fr8tgTj9Ht9/jqV7+Ky3J6vT4bG1s8++y7R+HJqvUsUotUY/evDlUeVRlW2q0mE60mq8vLtFoTbG93GA5LJtpTtFptSnHEEPBAu9VkONhmfe0uS3eWOH78OCcXT3Dq+Cmu314lCjz+5OM8/vijxFhy6+5d+uUZjk0vMCgCeTFgcaZNu6VoLNje3mY4HLK+ts7OdoeZmVkeeeQSx48ff0ufVuP+1BGGUrVzEpXdMH6pO/Sk/tEjBb9utVvl7IsmpdqLJE9OVVAKBK+p7713vhLwIp7kxAgyEtWp6+RHArVfHSqlU2KV9ZMUDad1V2+tlHIoBaLzSY6KATyUCiIB7xpoFbFIVKJLRa5QSKq/JENd2jtulKe/DxHiyAByH+Rhq8Lfb6v6zrwJj/hh86eMSVy1vHifyzhMMb9npw+73QPP6949H+YA3xNUddBn5Z0pKu31sL8tR6yOd8j9GN3IOjWEe2/8/v0dakiSUbrE7vVVhjr2BpGMfjQZ17Weq/bcl8oAoePHrMYjwshwkFqxVXpTHQQgQuHb9DRj3vdTxw6EQYCgStND7mKqyVMbKZWR4TB1EdstOl7fktQ2T3EScc4nb75Xcpda7ObO03BKw0XyWpUSSVEDmtTd6akpOpvb3Lm9zGQ7hbpPTE7QmJykH5RhEdBYoC45Y4XIxupdrl55jedeeI6XXnoB7xznzp2n2Wyxs7ND7nOK4ZCJVpvf8a//7kof1EoHU1ZX75JnnnNnzxKKLm+8cZPnvvo8nU6fZ555F857FhYXGBaBK1eu8PFPfJzNjU3mF+bJxNHKG8zNzLKyvMzp06chpPH77KkzaFSef/55VlfWUDx3V9a5cPFCclBX7QsjqVWgSl1sMY6+N9G6BGNV+LWMzE7P0e1sE3VI1AJxDp85vHNoqDzJVYHYjc0NVm/dotvtcPr0SS5Nz7K4MMeVq9dxwJNPPsEzTz9NZ1Byd2WdUgWfNQgxkDmhkTlyyUEL7i7foex1uPHaG+QqzM/NcvrUKY4dWzzkffgaQvcPy9uvi9eNF7GrUQV1dVDTLvdU8I8Z6nxql+fSRDVqR1c/xaKIyxh3pKmOV+StllU29N0FVb/HTFKoXhUUMClTuCIw8EngB09ZQB1mU3sIDMP4JqSyeqcJNkPI6XaGLLQ9jUbGoNNHY0avE2g123jfp4wlSEjRQCPvRh2NtEsdjj9OFEHFId7hs4zMe/CpCrh4RTwgnlT5NgkCTiP9XodmK3J8YY5WI+MTn/w0xx+LrKzvEGPVFjQqZVmS5zmDfp/bS0tcu3KZr37hs2xtbdFut3n00UeZn59nMBiMwt+3t7f5Ma+EYkgmgcmJBjEMWF2+w5lT8xCVzbUtNCjnzp1ja2uL2dlZgKq43m0+8YlP8OlPf5p2e4KpuXkYFEzMNji5cJwbl68y0WwxOzvL+vo64hx3l5e5ffs2U7Nzo3ljcWExRWrJrhFF3T4vxwHtR0Wh1cqZmZlie+sO023H9vYWqjA1OU2j0aKIHucCIQ4oyj63bl7lzu3XmJ2d5YlHLzE1McmgU7K2ukmWC5cuXWBx8RjXbl7m8uUtOH+eyfYU/fVtWmUfSNFjGxsbXL16ldXVVUSEc+fO8dRTT5FlGTdu3HgLH1TjQTRGPe92Q/eTok9KBaxKawQYyQxRKgdEtQ8RhyNUue5VH/uRzyZLQhxJ7nBaVeV3gkisogCrlJOqOr64JJM4XCrMVFXPB0a9rmu/ukryZHsHJUIRtepEVDk1VGk1mpQupwyRsoyUZVlV89/tmc0exSMZF8ZcHOl6lGR0eIAqeT8v9r3s307v+etBe6q/l3uMe/sPo3WkRLXosB3rfdbdwwM21MN3tsdRO76M+1/3w5zbO03Zf7s8+Qfta+8+dfdfYfT9yGjZ4cc/9JnW3SiMw1x46TvdVfl33yxXPbv7FIJKyR+Zk+qieKNUhFGJv92uY2NXuLm1xfljjsl2i+UhRDzdwYBGLjRrJV9DlQq063CoTWuwW1k//b77411qm+d8klVSAb5qmbhkDJB0banlXvLoazmgmTvm5qeYbLX4pY//c5548t00Jhfo9EvwyZMv1fF2dnZYX1vl1u1bfOpTn2JYDMgbDTbW1jh27FhquR5hdmaWy6+9Tmd7g/bkVLoep2RO2Vxf4dSJOTKfs7HWodcbcPbcBTqdLs3WBFmWE2Pk1o1rfPXLX+K5r3yFPM+YaE1QDAumJiaZm5nj2tUbZOdypqen6fcGzMzMcHdpiVs3bqZigS6lBJ4/f4EQkiE4ihtFa8XRg6KIxhSJRcRr6tASQ6QMyvz8HGVYZbCzxeb6GgFlanoe5zwhRpxGQtljfWOVwY3r3LlylQsXznDhiSdozczS7fa4s7SEoFw4dwbvPSvLd+kUkWxqns4wHXtuNmN+ZpIGfTbWlli7s8Tta9dp+oyLj1zi8UefwCksrywf+j68ZYr++N8HtY/TeG/Y7j1V/aMHJ8ToiF5Tgb1Qe+uTDV1UEdfYKxyyd1IAUClRV3njKq9+DKEKxZNKGIAsn8bHkLwAWo8Cwt78g0PChAzDeAdTS9B1vlQGNOl2h2Qemi3PlgwhNul2lfljk2TZBkUxBBdA87H9UAnyu6Twtf3CrhDFo84huUuhYa5EvUO8gielCGkqt1L/O9nMicMtJpo5Lz7/ZS6cO8NOMeSlF55nZ6dDCCW9Xo/hcEiz2cR7T7/fZ31tlcFgQJZlyQAwGBBCoCxLJiYmRn93dtbIG22aDSFzysrKMpQFi7Nz9LY6FEWPmclpirar8uIdm5ubVYg6PPHEE/zQD/0Q3W6X9U6fzZ0O8xOTrNxa4vyZs2xtbHLt2jVWVlZ47rnnmJqa5vTp07Qmp5ianuWpRivl8IdYtThTolQeyf0C9D5lXwBxJZNTDSgbbG2tUBQFExNtms02RUFSmpxjp7PByuod7i7fodlq8O53v5uZdpudjR1WVzZ5/bWr5LniXOTmzZu8+OKr3FgWpqe6bGxs0Y6RxWOzTGQbFINNOp0ORVHQbrd58qmnyLOMXq83KlJovH3UtvxdT6nuRv3VXnyNuKgE4phXrvbDpzS8VEgPdlU0t/ujLin0KKESjlOtSCEKBKqURYEYXVI8BOre1FWn7NEPVGkCKd8mVXOurido1WKzqqgdNHWcEMmBVMyvpDLyqSZPUy3n6G6n772Mq5+wW+3tEI/81+TEGFPAxuSiUb7yYZ+qlXyVPXsYrZeDf3+nU5+qHrDsm51vTGTg+J2MY4ozX+PzOobs/0MOXz1uwdEH3Yu4a4AYfW7f/kftQKstq1Wd7gDnJ2hNNIhDRZyj1x8y4zXl0gcZeYelsh84pCrIxyiHnGocqi2Ho8jnkWFt/GJIBsJ6/CJWOengtUR0QKsp+PkpvvzFT3H69Gl6gz6vXnmO9c1O+hpE6HS7VZ2hNPZ1u10yL2S+RZZltFsN8iyF0XvvCaGgNdGkLLqgGU4cxXDIyuoyzkdmptpcuXyZiYmcZ555litXr/D6a2/gsxwQbt26Dao89tijfN9HP4KIZ2tzi+2tHRou49q1q7zr2XdRDAteeP55Bv2Cz372c8zNzXHm1Gmmp2eYmJyhVEee56mrmwjR6yjVq44aqe9YRKuuAMmYHGP6EvJGTh5zbm4sM+x3CA7akzM4l2o8ZRIoh116O5sM+33m5hd44omnmZidZbvfY31tjTtLS2iM5N6zurLCcDjgU5/+PN/y7R9h8dKzrHYC4lo0nFLubNJZXyUOBsxMTnF88RhT07N0+n3isGRze+fQp/Nrqro/vnzcElfnVh68L9kTFXWQ0cBLmkzFKRLBRalM9Dp6eDUqSmVNqnJL6l6546iD6CNoXbTCU6hShliF7itRhX6/oD8I9HsFxTCAevKsXbXGoRpY9kUHfJNxmPHFeKcg49LrNx/v0FNPgndBencdaAOHMByktmjNpkOkIMZphj2H902yzIEUiCuTUXHUg1bSuLTrVkvC/T75OWjyEqpLyr46RyDly0UXUZfGPVcEPBGJBcP+Drcuv0jT9WjIkFbmeeyR8/ziJ1/m2o1lyqIgz1NxuSzLKWJBUU1KGZFms8lgMEBEaDQaZFnG1tYWExMTDIdDWq0W3Z01jp9oQCxZXlrm2pVXOHl8kdwlr+jizALra2uoKseOHWN2dpZut4v3nnPnzgG7bUffeP06z7/wElO+wSvPPc/jT6WKth//F/+CmblZcMJEu83q6iqnJ9psbm5y9sI8g+GQhm+O1K66eOD+seneOUSJOiDLYWamzdKNdUSEyfYUWdaiGEQCGSEr2NxaZnNzhYmJnCcfT+0B+ztdYnBsbfZYur2Mb02wubnOKy9vcfPGXdpzT3Ns8RSDQUmmBb1+j7Vimc7WEsvLy+R5zmOPPcbMzAy9Xo9ut0tZJsOL8fbh6ll+NCfL2A9oFeaeKl0nL01tENjfqm6PUqp15+wCSKk2oY45qapFp/2ldz5WHSOiq3L7a69fLcDXnS/qxtuV2h8j1CH10bmqCLEnEBiGQIh1xf5Uj6gMgaBpb6NIIVztQPwGDbn1USuZ6J6WXnLI74fvqc4wOLAQ30Pt6Z3BN8M5vvMZ9+Lvps3tGq5G//lVRfb9ey8HRRvU68Yr7e+mFKXNZbRfSTXqGfomWxFo9GngCcOSwRCYFPKJgNtW0FTxfZTeIJoK2Y6GwGqMG3sfI5VHWlPLUc/uuBZUCRLxJAU9E8WLQFHQ626zs3GbzY2biOsxOdXi7IXzfOLjn+PqtSW6/SGtdptQRRkC5HlSJbudbTo720BqR9ftdHAOhsMBTjxlMaDb7TIcdMj9FLEs2NxY4fIbL3NiYZbWRE5Bg4X5BdbX11i+u8LZs2c4ceIEw+EAJPLYE4/QvJnxnd/xQXo7Pa68/ga3y0ArF/qdbVZX73Ljxi0+/ksfw/smc/PzvPHGZZbvLjPoD2hsd7n46BN479GYDCZV4ja74fpV2VPdrb/gqnlEqy4CQkDLHi2naBlwrWk8LbIAjhLvoDfcodfdIs8ynv2W93Hy7AWWV5e5deM2t+/c5dbNJUIR6fX6XL96jdev3+LC+XNMTk9zY62DNCYpypKNlQ22V66xtb7G9NQs58+c5fTZ8+xs7bCxsUV3p8vyysqhT+v9c/T3hdZrlW9Qk6rs37tsv6A2SqvZZxG7ZzugNkK5uvJOEauwOUmVchWGAbz4dCxVYkjt8sYJOEpSy6QQQIMwHEZCKVWkQJrf+xIIJQgZIqlV4HBYhbxVFfsFh/dv1bQqb7vN4J7IibeBX80CgAcZid7uc/h6uKconUByMb0DteWHwMlYN453EhJxPuAVvOb4KGSSUwyG9PuBhYVpVpYdnUGDbkeJwTPRnqDTK/F5WbX/hOAqA6fXyuMmxBCSIB72Fg4sUTQILlThvUHRoqTZbFHGEi0jk60MF/uURY+t9du88dKXWbv9Bk8+eor5Sc+3vOtpfuWzn+TOzRXiEIhKv+inQqQygcNTlgXeezbWVhgMBiNl2XvPYDBgamqKsixpNBps/N/s/UezJEmW54v9VNWI88vj3uAkMyN5ZVZWd3V1V9MZTE/34M1uABFAZJb4AFhghxV22LwVIIKPADzBA2YzEJn3+nU1qy6eWckzOLucOncjSrBQM3e/LG5UZmR2VlecEI/rxExNTU1N7fwP+Z92mzTpUImWWHv8kLu3P+fcQoul+Vma1SqBjGnvb/Pph5/Qqi1z7do1H2JvLQsLCz5y4OCAWq3GuXPncCPH3pMtth6t0hsO+Nu/+V846HdZOL9Ma3aGN95+i08/+ZTFxUXOr6zw6MkacVwp5okCUagXwj8/tH46+aIQHuhbl6KkxZoMISCOq9QqDayqgAkZDA44aO8wSnrcfPkqly4toaRiMEh4+GCVf/yHn5ImlhFtNrdyomHA7Mw53vn9P2EjnGGU5izMRGT5HpsP7zLs+moDV69eRSnF/v7+2ACyubnJJ598wl//b7+uyftCjsohrjcHTnjDmSfBKgh8ZRFqaaeAgXATJeSI6j5Rxw044ZU3IQlQOFE6ERw+lQeQvnKQFGCNLfL8PUmfLRpzQoPQRXk/gXECZ/1RHNLn5mo82z4CbQRJ5nBWIKzBmJwsz8mNRTswZTqBUIgxcJgYy755gGmnXiWwmPZrl+hj+vuTZRrkH2qpjN4Yn+sLIP27I9Mgv/grpqJtOfle/uZlqo8nphxAWfFr0u/Da5GxkkHQ4vPuBlfmcs51JHuDBJNVsbMhQTVFdijqanrgoJRAKFk4RRXOGb8WjkG+QjvrQSx4o4B0vqy59NtINNJppDVez0GQ55qDrXXuf/EpOxsP+M5b12jWIq5deZ2//8d/5P6D+xgbIAQMh0Oc8CnWSiniOCbLMvqDAeV1CcPIg/3hkDBUIAxp1geR0+7ssHxujvWNVT7/+CNuXL3C9RtXCAVEzRpPnjzh1hdf0JppcOHCBZyzDEdDLl48z+6uL01XjUJeefVl6tay+3iVnY1VPr17i62DA9oHHWaas1y7dpHv/8EPWFtbpVar0mzO8GR9kzCKiOIKaW78SmYd1pVkj/LQNBNCFpwI3thrlEHhCK0mGXZRNiPtWaqNS7QaSwRGIElwOifrH7C3vcHVxSZzC8skieHgoM/OTpuPP7rN1tY+YRiwt7vPYJRz4dIVzl95iZ4K2M8VM7UqOunw4PEX2PSAq1eusjC/SG4s/U6P4Sil2x+yv99mY/tLAv3TvPP+5Avr9XSI5VcO8/Hhb4ePY70nrQgtcc6B8YQI1nq2R1/e8DB4MlqS5J68z1iHMxKtQ58WYAqPvgUtBJ43QRULScnSXzLvSwTmyI38FeRfAMt90+FX30T0wFnn9G2PYDgxF+1bSqD3LPKtJP8TFkTu72Un8KH4CilikkTTqCjiWDBMqjhjyVJDFAUIlWDSAdbWsNL766SQBAqUKjlDvNfuaCFkh8IIiXGS3HgLfCWqMspysBlRKAgDg0iH3L/7BetP7rK78YC8v8ObL53j0sp57t36jPXHDwllA1nUzcUZ7/3WKc4FOJ3jnAKTHzttrfWh+b+/v88//9OPuH/nY5RwhEoQh1CPY+qVCnvbm9y/fZ+1h6tUX5nHGIMQgkajgXOOn//85zx+/Jg/+qM/IooiFpuzXD23wseff8ZBe5+FxXne/e53Wbp0nk/u3OInP/2pN4IkyZj9f3FxsTDMWu/JxJdiZQq4nCbWWYxNcC5FZ0OyPEUpSbVaAwKMlggR0u12ENJw8eIy584toAJFp93lzq27vP+Lj9lY3yF3knatR3ixwfXrN2g0Vki0IrMOGYYYnZNkXaT0fAVXrlxBKTU2muzu7tLpdHjw4AH/7b/9N/5P/5evPEtfyLOKPbxmlv9sEQnoZFGZR3geCFnWxiqBAnDcV1fUpHagCgu8dEXrQozDX52UCGd9xM44fFN6Fj1Lkd8JY03FKawIvDfeFnxDVgABRkoMAd1BWiiaEkfN98l5Q5axBuNsAfIlTgRMinIV0Y1wrGLFNyMlEJvUDT8Zij9b30qPWvnen9ekid/WWvMv5MtKOZ9KcDvlPR+noHxL9I3p0t+Uf6e8+X4jjq87PmTcFISiqQMjNdLlhEaiM0dOSBgJAifRViOl8Vw/BQ+ICoKC/LwoDeeLjo+fsaIwPmoH0vj+OSuwEpR1hMqvlaXH/c4Xn7Gx+hg96tIf7JFniyzMXefzz76g3e5Rq9dIkiLS0XpzgZQSIQVJMqTT7dLrdg6psRKKsuoWqcA5y8bqE97/xU/p7u9w6/PPePnGdYQwOJfjhKA3GLG9vcHu3g7NVh0hBGmWMtNqsb+/x+07t9ja3ODmSy8jcCzOzfDKjat8eu8enf19Ws0mr772Gm+/+Q4f/vpTfvazn5OlKe32Hv3WgE5vSGN2kUFisFJ5nQ3vRJaUVQgm5UnLdAtPz1cwo0iDcjnVWsy97R0a9VmcrOBchLESnKV7sI3N+rxy4yqvX79EIBXrm5usrm/z+ed3uX37PsZ4/pc8N7xz8yYz8wsMdYaWktwFGGsR5Mw0qzTmK1xcWUYbR24MFoe2hlGa8vnt2/ztj/6W/8P/8f984jT9jYH+16rQl+EnUyJVETprvW5tHQgbgFMY7chzR56bY31NrKRvAp9vZ/zDFqf8A7hg3XfWkYsM41yRAlOExrkyX6+wxL140ryQF/JbKA6ELgwoITgfjqVkzHCYYGdqVGoBohtjtWY0HFJpxUg5BKkRwhAEATKMkAE+zF0IrDVoUxL2HTmiCLBItAWhHTiLFBZjLdU4JIgChsMRm3e+4ItPP+ZgZxV0D9I+i3OzrD15SL/X5u03X+dnn23RG/b9eWCwzmG0BasxOgerMPp4WcYSqFtrCYKAJEn48T/+iFdevsK773yHRrNJOuxTiwMOdnZZe/yEOIi4duX6uI2lpSU2Nzf54osvWFtbG+f/7+/vI41heWaBjcYMee7TCUIVMBwOabVapM6wu7HJjKwyGA7Rec7ly5eQSh7L0RfOnAlWBBZhErAZo1GPNE0IgpBGo4WUATp3yCiiPxpSrQWcW5lFBbCzvc2H77/PxuNtrl17iWuX3uR//tu/Jwi7XLp8gVdeeYVALfLFgSAXDuUkuc4Q0nLp8gXOzc0hpeTg4MCHUmvN6uoqjx494s6dO8Rx/NWn6At5ZnGlsgre2y4cVuD/lk4AN6VyFwB+nC3vROH1mgKUFEzexXbCFbmw45BYO64v7UPwLbbQ34V1SOU3tG6qeraLcEjyDDJrybWPvLUGtPFkgVoIMl0l115xNGNPnyf7M6YoxexgHK/r3DictIwYPlmmdaHnpa9NhU8zDb6Yev8VjnVC+P4Uv9g37CCZPteTZBq4vZBnl1PGtbzZyos9zsmfnlfuhL/lb/+C4iTH7ofp7h16tk1HvSisE2gLGIfRhlq9Rt6o0R+kZLkjzQRhWCVCYV0OaCSKQAagJKao4DPhMCvSAoqPxrmxqUHbydpolUPhqCpJHIDNR6w9vs/B3hY7W2tImxBFMDNbo9vf56C7x9vfeYtf/vJj0qyLtHZc0cQZgzPghMAZ75QoI1arcUylEpNnriAt9h2LA8Uvf/ZTDna3eeXlG+Pogkoc0jnY58MPPqDVbDK3MMcwSUAK4jhGSMnGxiYff/gRs7MtHw2Y5ygVMNNq0mrUqPQ6VCoxK+dWePJ4jcWlZdbXN9ndW2dlcQ6hIqTS3Hj5VURUI08z33fhjSXOCU/gOr5eYnINx+U+LcppHJpur+3JAqvzLF19CYhJtUY6w2jYp6IkF8+tEIiAzc1tbt26y2e3bnFu+SL//tI1/uZ/+RvS0YCXbtzg1VdeZjAaYXJBR4Q4azB5QlRzXLqwQiw8R10YhOwfdMj1gHsPHvP5rdvs7EoWAEcAAQAASURBVB2Q5adHMP/GQP/rrdE9fXN7EaKcJGWnJsYGz0JtyLKcLDus8CY2ZmjCKaAvUTJCoIrQfVEA/aQg7ik8+EIhXFkhoLTK/fbm57+QF/K7KxavVpf5uap4EIWMRl2sjYgrARKFtY4kyZlZilEKwkggCFBRgIprSKUQxq99ee7z5VxBpnVIhM+91c6BsTirEcISSEPoAtrdHrvrj9m6e4f9vR1MnhJiqVUrYDWDXperly7R7+6TJSNvPS9JSLHY3IBUY6Bv9XGPvpTe0p5lGbVajTiOuX59kZuvXCcMYDTsc/7KZbIkodvp0Kg1CBpNdrZ2Qelxbv/BwQFxHHPjxg3y3K+xWmtmREg9jKhFMa1qncdbW3x27zY9k/HqO29Tn5thMBpyaeXcuM73hfMXvEXcmqlSZQV52ZlAX2NMhrA5o2RImiWooEKtVi/y/hwq9qlXzWadOA7Z3tng4b1brK6ucW7hPG++9jajrkPrv2NmpsGNG1epVWv0+4Z+P8U1FMZYjDHMLDRYqjVBm3FaRLfb5dGjRzx8+JBqtcry8jJhGD613y/k+coY6BceYCtLsF8aj4rtXAG5nfPV85wb16MvI/p9RIn/UJbAwxUM+a4o/OgmxR9FSVpli/raUuBUEThvBQjvEbJOkhtBf6AxRFgRoI1P53FWYQzkCAwK44LC62ZxGKw1OOcZno0tDA+i0EFKDpcy+OuMsRKCKdK707f+jTH0uJyfHIcST3Sl4jjuJE9mobcVYzvt4Cy5CmFKp57q4VFf6OH+P0vvp5T1Z5LjoyLE9Ddi/N1Xld8NH9IUwD1h0MQUQeXxATl6LY5GQn6Vi3DGc+fMC3yS4eEkmQbiU5FErqzi4TDG3xeBUiglsRqyxFGLYyqBT+9RShAqCAKwSpAJh5AFYWexzpW9kuWELfLoTWFJK9dJ5SyqIum399laf8jG+mN2tjYZjQZIO6LSDGi06qytPuLKlYusb25z0GljtENbT0hqjC0wokOpoDizSanzsi/ef2u9HiMcoVK0GnWW5maZbTYxWUoUKtJkyHA44Oq1K1QrFQ7aBxijEUISxzGrq0/Ic82f/tmfs/bkMYPegI6MkMagwoA4DFmYnWOr0+N/+H/+D1hClpcv8tLLrzAcDAnOLWBxpLlhdmGZzAiSHL+UFeXhpWBSJaW8Um6C/xz4dc9laKsZjkYgA1QQU6k1cCIgzRKEzXEOoiAE59hY32BzdZVPPvucV994kwuXLnPQOUAIxdzcPG++8TphEBCFIS63WBn662gNcRGFWTpver0O6+sbbGxus7vXJs9y5ufmuHTp4qkz8KlA39kjE10IrDn8XZlz5q0hfkIb58Myx0RLZaTXGYuaFBZV5FX7R643yVsHwimEUwXsThEiwAmHNjlJmpGMND7PPkCgSAgYUVhpitA6URgufO5KwdJLwYRZEPyB8LF74wf+pODC8xAJBOI3b8/fs+74d+LrNLx8efk6Iz/+Jcq/nNA4Z1v+n9rA1Ptvx9P+y4+XwJy5axmKd9Z2z7INqCkF8NReCbBCY2ToCbCcBOuoqoBMZzg7pB4bwnhI5gzpMEPaBrUoRLkcJfoEYUwYhUCIdsY/5KxBWuvJwUSRP1s8xGXB6WGdQ1uFFQ6pNUo6SFM27t9i/eEtTG8LyRChclye0pxvsntwwKXLV4lDyY/+4R846IIWFW+sdP5VhgajJLm1OBGihMFYH1ouJN76LyVW5aR2wMy5Oq1KxLl6g1pcI8sSKkFEp92lWqszd/ESH3zwAZ/cus1b776HqkSsbqyjreGll1/io19/xMHePtI6KnHsjRgBVOtVWtKyEkn2H4yoRRWuXXmZe08eEakqURDQG+Usnb9KJus418AKX8JMOj9qDo1FMwEJ06ChUB2cJLNVGtKR9Q5AJ+hKg0E0Qy4adA00ckNVOeqBZXSwz+bjdfa229y8+RYvXX+VQNa49/gOqh7y3devcu36a/RHkp1MMbARoYwQeU4lUtQrC8RxwjDZYZQktDv73Lv3AIHk+rUbXLl6jd2dPX78zz8+e6K+kOcm4yJVzoP8cvW1yMlKXOgb1opxan6p/hrnxiH2Zei738WhnH/OewIrJrxC03x+Y49j2a46FDFgncNY0FowSgwagxGe9BerwAUY6w2BRhT1mHFjo8O4R45iRSlYsSnve4rUxrOAhR8n+Qww2D3DOnqs7fFzQhZavI98dOOBKvtw1PNdAr3SuOeJBouCBEXgMeNzxk0IGJ/2aHqmR0957U78caohN/3h8EHE8T2ecvBnGNWTce+/uDzfsnmnfSileHqK6blyNJRDjPcfV9l4bv37qmAfPzfcKQYJMTFGlXO6PC0hHMghCIvOAoZdR1AdoEKLtTXyTKKCjKixQYWMQCiU9IDfBM6TjgpPuGeEX3/KA8nC2GaZOhYUofve2emsY3drgzuffkx/2KHX62DyFOUylAq4e+8er7/2MqNRwp07txiNBghZwRspSqesb9c6r7dprZHjISsW0rKEn7NIa2jEEVcuXGRpcZFQKoQQVKKI9sEBtXqFer3Cr3/9ax48fMCNGy9Rqcbs7e+TphlXr1zl7p3bDAcjZIErW9UKQRASRxVG/S3OzS/RG+Q82dzh97//A/Z2d4iUT71ySBYWz1FrzaEJyZ0GIynTthWWQLhxDQXGZMHWlzjEgMsxMic3GWmeQxiTatDaMhwMEDoncBmNaoXIarrtNntba+zv7fDa669y9fp1EII0TbFOc+PlVzh/4TxJmpEmI7p9jZ0LCRRUlEM6DdaS5CP6/SGd3oCNjTUcAa/cfJkwqrG+sclwODh1ij4d6LsjPzvvHzskSvnwOeetPNZajGFcc9ZaD/ir7umESwChM4TWFA81hRUK6yQChZAKicQKScYBUoY4F5C5nFQ7rKjibAVMBC4gE44sNGPjM4Axmb9opcFZgsSXbTh2ogVzLlCcw5ndfyaRAqIvYcZ1zmGOjL5FoPn2AX1Rkm79q+/Dl50U306SwGclOTxJnumMhH5uz+gAMWHhPk2kw4ocQxUrFQhJrn3ZGYFGZz1mKilRpU2WavI0x6WKuVqTnu6hpCVUDQLXAAIyclJjMDZHOe9Zt9Ln4rqCvzaygCs8dgRYAvJ8SDNWiGGHzqNb6L3HGNrgRhiTINAkWcjiygoax09+9QG1uQvI4YBkZAqPn8M6i1Q+fSAMQ5LBACMjMAnWOKqVGIcl0yOUEgQVxdC2WbjQ4NrsEnMixgwzHBA6RaPepDE7w6O1Vf7rj35Eq9WiuThPP0vIdMbSyjJ5rrl75zahDGiGFYKwgiEnaITErQoHuxsQhrz8yqu8/Xvf5w//7M/5v/73/z2zjSVCFZBmKd//7g/pmyYhCzgTIB2ENidwBiN7aJUz8bqJwjDL+DtvpJmhIQ1Z94BYGrphhXujkLDWxOUpedbmmjKESZ9HT1Y52N3n5WtvcPHKNSr1Jk/WN/nk0W10xfBHb71BGDV5sO/4xd1t4uZlzilFPXCsNFo4LRgMe+zsrvH557fQueXypWu0WnPMtObJc8fG2h5x2Hw+k/mFPJPYQnl1BRK3pYOhBN5jW2LhvSo9+QXYt+VcwueNlvnuEl8towTY/iC+YeE8sD280svCG+cLAvnEAc8FpI3FGIkKK+QaMmM9L5CzOGug8NI757D4PEvP4jzxjosCok8qGnkG7dLTVBoa4DSPsN/PPgOId1/KK1qiXsF09QNfRUNMtjnWbpHvWvI7IcYlEy1F6UMx2VIqibBHQNKx/p/yw5Hunu7RF5SRCYdtAeLoVseOdPaonbHFtxDkHxbxFUC/B4L+DnOF1/4MQwvl1CjmjijnV/FdMVXFiXNruteccqzjW/ljPts5Ht9O4NP3RGGcstMbHz9SmRI0tnc5hOrjhCVPIroHiuWlfVQk0ckcJg+QqkfUeITJVwhEAyW88VFKhxTGh/6PbWq+sod0chwlN2WbLMrGlWumYnNjjd3VJww6e+Q6JZK+pKgzll6nzdWrPyDXmg8/+oiVCxfoDh6TJKbIMLJTPEC+tjxOkGfZeOyFteAsovCUK6BRrdIMI65evEA9jsmGA+IwoFGp4TDMzc7x0Ucf8qMf/YjWzAyNVgOhBMNRwoULF0iGQ+7dvQcCGrUaw9GIWhQRhiHNZotWvYG2jnfeeYf/zf/+HV56+TX+H//3/xutWmXc5+9+7/dwKmaYGjIb+EW0CHUIRHkVJyuLsxbhMiQZwmVgc4SE3GrSXCPCGG0le7v7LMzOU5MG4RJCCekoY29zHZMOWDm/zPKFi4RxjVwbfv3B+0RRwOtvvE5/MGR/f4+HDx+iWxdwizGBFFQDEDYjTRP29nZ4+Ogxe/sdLl2+yuK5FZqtOcKowt7+PuYppMZfmoyvFIfDUIafmDEL//TLg9Szb72SmMIhPcGOE6BCEAHWeeZD68AYibGuYL2VqDAiiuroTJGmkOcZuQTCbyET+At5IS/kmxEnkE4V+sFESc6NJkYxTDTNOPbVQ4whiCXW5NSrFZLR0PvmRanC+ugeKRyBlISBZ2e1xYNhHBI3VkjEWFeRRVjR6uOH7G5vIUyKERpjfN69Amp1T8Z16/YXXLx4CZ2nfPb4s2OnNElb8jnjWZ6TZillSK2zFqMNUklkqKjGFRZn5pibnQVglCQElYi4EjM3N8dep82dO3c42N/n4sWL1Go1rLXMzMxQrVa59ennrD5Z5eqly+R5xmg0IooqREFAEEgcliQZMTI+r317e5PRcFCYShsMU01cbZAZGPZHSFUlcJ6xNnAaHQWYMiqpUE6MLg2rZUkiS03lJKM+WmvCqEZcmWFjr0dEm/k4YNDfw1Vydnd3abfbnFta4jtvv40IY6xQbGxs8ODBA+q1Ko1GyMbGQ27f7nD37g5vvbdEEOTMtiosLlYYdNbZ3b1L0tunWq3QXJrl0uXLzLTmGA0z+v0e2zs7bG9vP/85+0JOlRKwF3jeOxOEj/izFFF7CIQtQH5pMBoDfX/f2BKUljDE4ZV0Z/BpMsWN64qX8FGLtvyq0Hds0SdtHdZApm3Bpu8dE0IpFNb/jgfzzmlESbBH0RZT3vxCvDGSCeah/FActAjNHZfbOrz3eJPp706XZwE6RyDuIffkFGg61Obp4HracS6LTe3UuYjCezs2djzVHnFG/8v1+ESHDlCybP8mhvuzwKF72vn/tspJ43PamE6k9PCePGQn7X/UnPKcvGxHj1zcYF/JmHGmTJf1LFad8eH8ufqPEq1zjM0Jwxo6D4t0n4BqJUQUKYblfeVDzO3YgICYlN9EKEr/nyxrcZblyRFobRGR5N6dO/RXHyKsBpPjbA7Wr4HNZoPFxUU+/PB9bt68yf5BH21yf8ZO4BdXO748DlukMk7hRiEwWiNwKCEJpWJhdg4lJdUoRBiD1ZogigiVojnTYjQc8PjJo4Jh/yILC/McHBww02pSq1b56INf8+TxKi+9dMMT5xXjEYQhgZRI6zmKHj98xDu/9wMO2m3yTLO8ME8gIdeweO48o8yw0x0SRjFSeEI8r89Z5NQ181HpFuEsqkjtks4glcWYzAP9qEKzssjWzi5LC0tk2QhrMtKsS3t3k87uLpdXFnjjrTexCDq9IfcfPmB9cwMVBiwtLdHpdLh79y6fffYZ3/8Pb9ILIipKUY8gsDAaDmn32mirefPNN1i+cIFqtcFwlNPpHHCwv0v7YO/UWfiVgb6xzpdyKIC+tXZisS6BvnVoWU7S08VZn8dmi7A2IxQ4iUaQG0dufH6INsoz5RuHtQoVhAQq9oQ4Wo8fxi/khbyQ312RTiBskY5TEllJyHONVQH9YcbiTINaJWA4SogCQToaMr/QoBIG4KSHms7gnEA5gxWWUAEiQFrQTEC+BULnQMhxOCp4xtnuwR4P7t9l0G0TqQyrfL67N8FDs9lkbW2VleUVzq+c4x/+7kcF70h06JzKPC1jDHmek2cZ2hqiKCSKIsIgxNqASAoioWhEMQvNGQKpfP13o5ltzDMzM0Ov1+Pu3bvMzs3y7rvvjjWxVqtFvVJle2OTDz74gG63SxAE6MKQq3VKqAQqEEjpsHlGEMb0Bz32+z0q1Yh6o4kIa1QajubCOXICMivQeYayEFpN6DSpCciDMvKmCAO0h/O8FI6ZIGHUb5NpS1idIawtkiUhvYMurcU6Ou2y010n3dxkYWGB977/Ayq1JhtbO2zvt3n48BFCCBYWFuh3ttnpbHD71jpvvvFDFhZiarWcWkOT5zt0u4842F9nrlHhnXdeolZtkIxyOp0u3W6fne197t29e4wX5oV8vZJPO9ulB8/WFbqGwKe2FZ54ax3Olh5mbzAyxmKK312h9MpiF0mhcgsP9L2T15eCFGXNeykxQmCFRWPQxqI1GBNhjCDVhjQvEv1UgJIKKR3K+dwb46QnripJ907Rh7z+Unobp+C0wHulYCr//jQ5+utXAZ1Hwddp7T77McZVm0oQeLQlB4d8wEcMGuN85ELX/M3EnfD+aed4VP61Afiz5KTxgpNB+EljWI7t08bNcfo1+DaN99H58rQYj/Kc3dTPRcpRAcAFspjrkjQ3ZNoQRiE68+TBJlXMzMwSphE693eJc8I7Ti0I4XBSYPFVRmy5oInSWFYYP4t1xFhf6z6MRuxvb5F3DgjdCEsO+KgjKSwLi0vcunOXpeXznD+/wvsf/P/IsgxBOIkmKk7ROQiEIstTpBDkxiAELC4seMO8AiV9RrTJNa2ZGUKpwGik9Tn7gRTs7+6xs7fNhfMXeO+97zEaDIhUxMLcPArF3s4+ezt7DPsDYhUiC2Nou9NlZWmJeqNJJazQ7w2YrTc42Nmh2x2A9ekElUqF/sASVutsH3QZuZgIUMKBMyghyITXN2RhfXRWonWKsAZpFQpFKA2zc45uu02n2/VR4bKCCwTr21vMxBGhydD9LlmasbSwwOVLF2k2m3QHQ56srvLRJx9Tq9dREvYO2vR7XVbX1vje7/+erwCkIi4stqhk+zhtGCYjZmZmuHTpCjKIEAj6vR67+wfs7Ozz+OED8jQ5ddZ+daDvLNqaQx79aa9T6dHPbXCmT986hSluAovCoNBaop0j1Y4sN2TGYlSIsdYz5xMgVYR23uJOIJHRhFDhhbyQF/K7KcIJlPUg0omyTiq+9JsM6CcS7Ro064rBoEskLemwh5irEAcCZ/CKtTUFT4ghAIQsPP0CcIW3Dk8MFpTWbikKD5XDZhnbG6vsbK5TF5Y8HWEjjTWGMrsfYGlxiblWgw8//JCNjU2CoMZp0VilR18bA4EiqsbUajVqlQoB2pfxE4IqAQ0VEakAJyxh6A0CeZazsbPF0tISwzSh1++ztLREpVIhiiL29va4desWa2trRHFMtepLEEZRhMkTcp0gpSUIBYGVLJ5b5OOPf01tZgZtUmQww05nSC4juqllf/uA6swKxjiUg9BaAucYaEkiQ8pQTzAEQehzCoscwFBYAoYMki5aW6LGLDKapxqdp9MeYvKUOMjYX13n+rlzvHLzVeIwYmdnm9XVNX72qw+4c+9hUdN3wOOHd+inIW+9cZOVa5dwUUi1YlCyz/rafZL+JivLs8w1Z5FSkiQJWW4Z9EdsrG/y2We3efjwEX/2Z3/2dU/hFzIleuqR7opQezddZq7E+c47Dew4Qd8VvxXgn0JFd0UVH1fmgsuCxM6TWTnnQ2FxnhfDFozMIlAYrGfPB1LtMLkkyX1JTR9fS5E3K3DKe4qcmQBb3/fjsGZMKjiFiw4BXCbQ4RuHP8cOeFIPfvNelYDhGNj/Sq0+TcpRt5xM/vZCjkthyj40GaevWDkrHUxzUB1iMD9DTsxD+TZdD3f4NZWjfliO3rHF/+PhKgk+fVY4TiCKNGXrBGEIuTC+DHgCwYwkUDnOWJwLKPnLlPRjrhCEQhVOAMZr3CTGxjNxSKRf9LTh3sPb7O9s0CTHuRQpfDlP4QyyYLmfn1tkdrbFrS/uMxplEzJNITxBXWmME75KWZ6bCSlg6ew3BiG9wyQKFNZoAinAaiiiAKTwDpj9vT0kUI1i8iRlYW4B4XyUZLfd4YvPPuXxo4fMzs5itPbm24Ir3VhDKJUfGaOJleLBvTvMn1shUIWOFQSYUJDKmMyEGFnFaEnofGSEGl+2qWgqJ7DWp1IpKwlQCCyhyMGmOCmxqkUq65gooJ1K4rCONRqXZVxYqPHaS5eoVivs7mxx98Fjfvmr91ldXScIAwKhWNvYoNfvsHR+hZuvvcb7TzrUA4fUQwbtbUaDLRqRY35hgXqzSa83wEro9Hvstw+4e/8u65vrvPfee6fO3KcCfWPOzrwty9pMv0rAD8XDlYIowrkipM4vBEFw+PDOgjMSIRWoECdCUm1JcsMgyUhyjTFAoDwxlSuzdYoa01Z6sB8VFvnnlFj/VchJnmc99+P50xIpvtn0hGcx/ryQb048G/TzeRh+reSFgJDeb/Zc5BmakQgCE4CQWOnr1jogiEK01aQ6pt1XzDVCIiWQTmPzEZiMRiViNNI4Y0E6X0YOg5U+HUAKgTAC6QTGgcZinSDwQWxIY9DOgstx2YjO/i4uT4ljSartWOGvxDFOZ7RaLS5eusgHv/g51hharSab6wNEUB/f91JKgiAgz/MxB4WQAiV8ekJcqVCv1jDJADNKqVYiZqMqFSNwRemVQClq1RoH7QMqlQrzi4v8+Oc/ZWd7mytXrtBoNOh2u2xsbNBsNrl69Sqbq2sAVCuVgsfBAZpqLWJmpkF3e4cwEqztrGP3t8myIVme0M9C5s5fQEQNjKzQSTz/ivfoQ+AcQxGQiohxzWQBUjvCUGJdjnOaemSQpsOwv0ez1aKTShJbwwYNhLKYvI9J92nEgitXLjM7N8eTtVU2dva5dece9+/dp1qt0xuMGPSHdA8Uc+eu8/Irr7DVHSBcTNiMGPU7pKM9ZpqSc0szCBuhtcUaS7vdJc8sGxsb/MM//D3L5877KIgX8o1JPmY/dgUpiAcfroycKYB7SQxsyg8ACIxxGGsKR0LhNXel2l2U1KXmPf7Ol9ID51n+hc95N9Y7HbQOyHOHNp7O11jItULbYntdEmRR+soAfOmmQgsvo2rLUzok3yZ88zWKdEXahSg4kL9WmQJmwjIui1bmBYzRGEyInH7XZRq8HynbODZaTXutC4PAGGrK8eZH3vyWyVGAb6c+w0mpGuPZVjgFJrpaseIIUKLgCHOCLAvQ6RLVMMaqnFFisKnB5RbBsAjdD3GiJI9TOAGREEjhQ/s1EoMr2PwZr2WCST37CMv2k8dgDTLyBHnO+bqf1hriuEKlUmVl5QK/+uUv6Q8GhGEFZ9s4TEEM7ABV9En5CMPMYbQb8+soFdCqVxn2OtgQokqVarMCoUPjgXpYUZxbWWQ46DM7O0Oz2eTHP/5ndtd3uH7xOvW4RmevzZMnT1BCcvHCBdoHe1QqYeHM9Wk3aZIiBTRrdTa2tplp1RiheXz/DnGkUJWYjd02lZWXsPU5ElXH2hpBESVeFGClJEEdk546BXauiNBMENJ7XkTWZ2djDStCbDyLqJ7DYUmGCUKGZMMBUT7k3NwsczMV2u0eq09WefDwAR9/8jELy8u0uz2MyVkeXmTx3BLXrl6lO+izNFunEqVUnKYz6rM4M8t8o0JcCT3GdZJslGKsY31zk7/5ux9x/vxFXnvrjVNn7xlkfM+w8gqvgJYh++V+0/sKwKCwZTi/K0rb2cOGBOcUzklf3k74CZQYGOSGQQap9mzWk3Dc8uYqF6CydEvh3f+NSqo85RS/JJg6Og7Pvw/iGwf6z/OcXshXl69CoPdNy3MzSpTP2rOOZyWBUTgpUMLhhCe/UlGEzXwKUH8UM193RAqM0/7hYXLiKCJPPFGWX2EMQvpwWyvthPW/4Pt01gMN5XzKgHW+hA3OoE1OngyIpM/vipSAICBPU8CX6pqfn+fhw4cIIbhy5Qq9bocoysmmyokKIQiCoAif9zn+2nhmb6liwiBAOIdJMqTJqdUbzFcbVAxkeUIQKJQIqFQqNJpNomqFR0+e8P7774MQzMzMoJRiZ2eHMAw5N7/I5to6vXodh0NK5Y0MzlcRUAHE1RAhLNVqSLNZpTNMqDUqVKoRvV3LufosuYwhqjPIBFIqlPM1fgPnMC7AERaxuhqEwzqNVQ5jfa1apQTKdkmHbSpiltxVyGmiqRNVLKPhOtJ1Ob88hxCCra0tnjx5wq17D9nZb/PDH/6Q7mDE/+v//f/hpRtXuHHpBpduvElQabLbTomDyCtBTjNTj1mYlVSrESYLGY16bG3usrW1x+NHazx+tIoQkj/+4z/hypUrX30uv5BnFnvkuTMG6MV64Eo3PW5MzFf60/xP3tFQvlxBqkfp6XIC56IibRCs0whfvMoX6hSgc0hSSZ6H5NqnLiqpAYe1AUaAMX5+G2mLShmlSUJMsM8JwP537bE6BQ9P8IF+jZBwDFqPePTL0AJX6pTHwdvvnkwD22mgX05iOTVEjkk5WzfZ5pkiQX5L5NBYuMOTeLLRsY9OCJCeSHfs1RegRFD4jw15psiTKq0WhGFO6jLIDTazCNLCKOAKUlI1MVBJicQgUOMp63A4U1QZKeqROueQzhIJCzqlEkmEtJ4I1DJOB1IqYHZ2np2dXRyCP/rDH/I//o//X/LMoIIQZ62vyOYkSIWUCp1bdK4xpkiJkhIpBVEc0uvkOANRFBLHISoUGKdxSlKv1gjikFxrls+dY3trhw9/+WuiIGKuOUMoAg46B9TjKq+//Aq/+OXPGA46RJE/f1Fcgyz1aQNxHCKsoVaJCARsb6wRxzEyCNgd5Fyuz2HiFomoYF1IqMHpstKbdzYIZ4q2BRAgbM1HcUqNEI4qQD6i325jK+ex0Qw2mCGoSjp7Txh2DqiM2ty4fI5GVbCxusba5jaP1jbZWN/gr//Df+DJxgYPV3/O7MIs84uLvHzzZSqVCt1ulzhwzKkRVkOzFjM3O0utEqHzDK0N7YMeD5484snaGnfu3qXd6/K/+8//mRuvvnLqtH0q0H8W8UBjMrGttSiljnh+BVqExSS0YC3GGdLkSE6BFCCkz9U3Fis0mXEMcxgZQWYlCIm04WFFfxxCM/nSUtwML+SFvJDfSREIAht49UN6jmuvaAeIoIK1llEegR1Rr0QMRz3CQOJ0ShAHBKIA+sJhZRFWK9yEgM86FJ7cq2QgKXN9AyER0gfMOQzpaEAowekU6SxSBlhrybKMSqgYDAaYQPDOO+/w8ME9Hj16hNZ17AlrWBAEpGnKaDQiyzJsEBLGMQhBmqRgLPWowly9SSuqElhI8xwZhaggIIojFhcW6Y0GfP755/zql+/z+z/4PtevX/d5/Fpz4+o1OnsHrK6u0qjVkFL5mraAthkSh7U5uByEIa6EzIgGNpCYwQChQKuY+tw5tIxxYRVrZFGJgHG4H1b5dAcoYhkdMnAEVoPNUIGjHgWQdTFZn24WEM/NMZAtZBQRywrpdp9aS9NqxPR6PZ6srnH73gMIYv7q3/97CCL+5kf/QLVS4caNl7h5/S3mz13n0U6GywIqYYOAkCisUq3OUYtS0lGCFAFZlnHnzh3u3n1AGFTJdc6FCxe4cuUyOzs7XPtGZvILAcjdJPlPFl6jUs9Wziu3k0BhhxI+ncaWiF+Brz9ZGufwc65wMOTa4Jz2xHv4tERTMFX7ykKCPIfcCHLrvPfeOk8ijMQJWeznMK4kCyx742WsoYjDGMFNYm2fW9DTb4sIJnh77FT/2iIcpoDaOMR8evAL9+uhC/JtkWeZGM+jz0ePcxKwPQr6j5hqRAn6yz6VE/63dVzL7Y5GghRyyEg0/mL8XpRjJJjy6ntCX+l8nQ1RRDBrZ5GRJapKpJJYLXy5PCk9uC5eriAuB4kSnj9E2pIwrnTIuXGefmCLPHljkDpHWu2dH8JXInIClApxTtDr9VFKcfPmTe7ff8juzj5SBP78XADO912ISRqC1jllOfUwCpFCoLMMJXwqtbM5SnoyY2cNRlqccKR5SrPeRGvL/XsPuPfgCT/8wR8w05ohT3MCFCuXLtPvdfjg/V9x8eJ5nDE45TUuUWJG5zAmJwgVoYIsz2hUY4TyWlkqIuoLFzAynlRKcr6aUbkGjMd0zGbqUyKU8G2H0hBFEpEbbGohCnCyggsaOCOoVOq0D+7yyixcu7hCv73Gk9VV7j98Qref8MMf/hARR9x58ABjDBcvXOTKtavMLsyTJAnDLKXZqhGT+udKILDOFtx0ljRJebK6xq1bd+j0ezghOH/hIhcvXfSkzKfIcwH64ohHcTpPfzLRw8IBXyywFjJz5AazhULtLNp5kr/cQppbkhx04cFWVk3dRmXe0FQoDa5YYl4A/RfyQn5XRTiBtMLngE0t5lIppPMQPc38ot6oxmQJVEKFzVMCUScUAlc4LKz0Hr3ST2EF5MIisP5B7Yo60tYhhSKQoJRACkWGIxv1qSkwWYaUBud8GH5pJK1Wqty4coGt7S1+8pOfkOfaGyiORD1lWUYYht6br7WPpirWYG84dTSqNRabdZpRhchJhNYE0j/UwjD0pDT9Ph9/9gmtZpM333qDK5cvMxwOcc6xsLBArVbjg1/8igf37/Pd77wLRakyVRDnCGmxTpPlKWk6ZDQaUKnXaUpJe9BjMBwSVi4yd+48hgBtJZmTyCIfXxfPh8AJVJko7SxgCDBIl+FM4uvaR4q0vYezKWmWM1ebI7MhVgjCKKQSB1QiyJI+g/0OO7u7CCH4zjvvEIYhKvaWcusc169dZ7a5QjaS7G72EGoWaSICFxFJS61isHnCaDRgd2+HO3fuMRwO+f73/4BGfYZPP/mc3d02URTT7Xa/mYn8QgBfyg6KqVL8FdO/iQKkFW+9s3FSZE5Yi5SimGpFmTuKPHonybXGCe3JrpwtCuzKsWpvrEPnDq0dWluMLo4uVeFNE2MPPs4wzpR1chxp8NXlRBfi8a3GYLXc5+s/5pdtebp3luO9PSlZ8Dci4StB2GTnqSMfBZ6nvT908Gc77tchp4WylZEpz/04U/P2EIadgFox6cDU2JYfn+NYicP3/FM2O7upQxs9Q6PldscacN546MpoYo4YM0pQP9ndTX9rC6AvQRKR5EOSXFOJAqq1iCi0YBRCBigZ4ggQtgD+ToKVRUUzWXTL59ALAVIxLj2qhCBAEghHbzDAJCmBNDjp1ynhHDhVpFNLorDCKy+/zOdffMaHH35CHNeArMjNd2WqfnHe3ker89R7w52jUa8hEGRZSqvZoBpKnNYEQhAIh3YOZwTJcESjVqcSxdy9fQejLa/cuE69WicOYrJRwsLsHNVKhXv3bjHodYiCS1ijvVImASHHYDjLc1+W0xiENbxy4ypr6xu+zKmq8Mob72JEALbUCcvL4p8drrh2Y0LUMmJa+OjM2Flipcj6GbGsQFhnhEKIACsCqvUGYSpYWpql12+zubHJ5tYO/f6A8+cv0Wg02Do4IBklzM3Ocf3aDS5eusRg0OOg3cE6qDcaBAIEBpTEGctwOGJzc51HDx6yf3DAqzdvUms2ebj6mFt3bpNrzdbW6VWAnh66/7Qvy2fcKUB/ehH2yrEsn4CA9AQNR/bTzrPrG+vIDGhryJ0gM5BZi8VbuEriHX+TFTP5SN6Me5ZFb/z8+qYspV+DPGN6xXM+6HNq51s6pi+kkN9u15LAA3DhfIiXLA2AwtdotkKSFSzYcSVCSAiUxBiNlP7h6/DMtbLMFiqgA6Ig5BvrCB5QFPy3nthFKpTylvssTWhFEqM1Vmry3BPeBBKsTllZWWZtfZ2djTVefull7tz+gs6+xomJsdI5R5IkhyKmoijCCYmxhsFwSBBHzMzMsDDbIjAWk2Uo54gbMYnOCZQijmNW19aIKxVeOr/CrXt3iSsVwjAkCAJmZmZYW1vj888/p9frFSDfM9FGUURMjCDDOUeWpwyHA7a2Nrhw4yWWFufpJyMGuaBCk5m5RbQTBaMwRLFCFASGFoV03tPgDcAGnCHC4KzG2oxYRlSUZdhve4ONkIRxnWzo0AbiKGB2pkUsBWl/xPb2NrVajXe++z1mF84xSDIePH7C/v4+b731Fm+99TaRkuzuDBj2cuYuzhHISpHjmCNdQL8/Ymt7j04vY3Fxgbffeoe52UX29jrU63U2N3dZXVul3+vzb7/pSf07LNMp+ocAoSvpk0rv0mGg4Wu3WxCqUO5EoQx7PUJaOc4CLMP7Pckm6HE5PkGuLVoLjAZrxURBLCp6UIS++pJ/RdbnWFc56Vk3WV+fFbiWxgnBadsfPvez2izbO1vOBvv+eM/a1mltlMMlxoeT4pQjF+f3LGBysl3pqTtqYvD9cuVEECcf9JmB6yn7fyURT7kGZb+eiy1pCsTCBOwcNbmU99b0OAqmPp8A+E8bl6ed21RrPvL9jGtwxhgcCp9/aiPThoxxD6b6eviXo/txdL9j2xY9cHiuHen5hLIso1GLULEgCkJAIYUDPGGfPz1VvMpIAd+OK1KQxuMk8FED0usxykkCFYzXD2ssoiDK8CqLT8OenW1x995ttrY2+O533+MXP/+AZLTvcZVwSOnGtksnDOBT7cqQ9yBQWKsxztCcmWVhtk4kLQqHEhRrq6FSqdBqzrC+tk6uNW+//Taff/o5TvjfwyBAhgEbm5v86pe/IkkShJwYc8czs6hElOYZzsHu7h5z5xaYabXY2tyin2nqc8tkTuK0N9264lngDkVmFOBeWCgL7Qmf4iOFIxQQS8lolFGpNRgYf12clQgUlThiYXGefv8xD3b32Ntao9Pp8oMf/CEXLl/BVGo82dpifWOdufl5vvvuuyjp9blBv8/yynlGwyGVuOavhwDrDDs72+zt7dNoNnnl5k0Wzy2xubPNQbdNo1bn/t27pEnKX/31fz5xNj8V6A9k/dBn5yy50UjhPetCSqTNkFkyBvwikMjgCMh2YNK8IHEwWGcRwlKPvFKd5xqtNZY6ua2SZhmZdhihEGGEVAGB8JZ348Acs8AV1q3D8fzHzuekXGZj9DOAZXnWUJ2+53PMnz5KhCdwhJxd4kk/x2eO/MoxIFNivfXw65JnIZN8nvLblC//zCJyjlqyv63nqNThCB6jLL2oLLcJgShC7E2CBqhACmz1NmnNL0NUwwZVnLOkpkXGiFGaUKtGZNrgiLHOs3/nzpFbRS48AY4W3ogwUDlSOipSUJNQw5KZjJpNIG+D6iLDkGQYIWVOoEZcOD/LKN1lbf0ub9x8k+7BgI9/fZswjAvFc+qcjMEY45nz8xxrNCGWmmgQuYx8OKKxPEeoLLgMKxRxFJAoSzdLeGl5kb1OmzCOeP3qFe7fv8/6g0eca80hk4zLLy/T7XTY33zC9toDrl08Rz0SVKShHvq/qa6S5BGDLEfrCspGNFRM0xheXVlktHqfzx9vsHj9j2hGs4yoYl1EM4p8apczhC4jcBmh6EIgSFSNoaqSyxjhUubCkFh3WVYps4MuG1s1dHSVfu0aWXSeqFJjRifMZhtcDocEvYyDzh4j1+U7b/yA66+8SW9gGfb2+eVHt9npHHD19WvoOGM3rPDTO+/z2ee3+OtLAa1aQr1eJ88Sdrba7O/36PaGzM3NcfXKTeJohl43ZTjokIwMaxsPiasZtfrh0ocv5OsV54p1xx36MwbYuCJ6p0AEpTruzf9y7KURQkFhuBrn6kuDVGUIaKFnWOPD8K3zYf0EmMKD5igY+EuOAFF4ugqw63AT0FiCcneoYNwxEc8AXP3vchJZevJWuNL4cRYwnThmn74NhYfr1M4X/hZ5yL97yqZPUUjE9JuJEeLoaTjnDhl1Tm6u6PXYADEVEgJMcsgLI00BkCj7d4L3/CQYd7LYs8ee4linGoGebsg5cZ8zD3na8U46ZnEHjU96Qi4hxnPLG7K9/l3qp3K8fwk2D31/4rg4ztIFx5E5Tz3HAuS604xDUJoJBe6pbYkjc9Ff0zJNoRwrO9nm0GQtS9sd6bubNhRMdhXOIa1FGotEEkYBaZYiJX69gsKDD84KtAVtXWGElBhHwXg/cbS6MsoQH0EoxpEHjAlGhXNgLcIqXwLUapqtBipMufPgI9564/tsb/qysq7sexkdKRwOz7RvncFajbMWoXz1EqNzwkAwO9OiXo1o1iKSYc+vzdaz6a+cW6bb6xJVYm6++hqP7j+k0+tybuUcuc2Za83ipKPba7O5tcnK+fPEUYwsQL6Unrw9tSn77b2iElFGHEcsLSxy6eJF1p6s8vDJARe/80MMoeeAK4y5DlcA/ck1LVcdJ2yRxuVTNAMlqQqHGPXZ3Ngmqs8ibAhCepJ4I5E4AmU52NnG9bdRwHvfe4/L164iw5gHa6vcvnWLNEk5v3KB2ZkZRqMRt2/d4YMPP+Qv//LfsXxuBeEszsEoGfLk8UP6/QFL585x9eoV4jii2+0ihGNzfY2NtVWkcFTiyqlz+amwLdGHbxXrHEYXlpQiZSSQvowTQiKLfImjdZCLuVSQ4Pj3AGEYIpVCCO/ddzZEav9ZCOeJ5oSkzAUpve8lQdb4Ljnx/XE5+gAtc1jOXBy/JEp+nmFLJ1nmf6PWn1NXnt8ZlY091xbH8i9FGPh1M9d/83L0/pgoT99GOdovO9Ydpn0PpavIz5Nca4yxKBVhrMQaR5o6IEAXZT218SZv7VzxkPWA35SgwAkMDiM8CPDMtxZbWI6ds5jCwi1QY0+fdY5KJWJre4NXX7uJEorbt+9gjCfcE8EETJYgoCxbaoxBCG/1r8YRURhQVRGtZpMwwBPmKW8AVYGi3mjg8OH/8/PzaK358MMPuXr5ClcuX0bnOXmW8vjhQ4aDAW+/9SbbG1sE43KCXpuwTjIcZewfdOl1B1gLcRBy6fx5TJbRrFaQ1lKvt5DFP2cdKhCTWuflA1XYAjSBEQItJFIorBAEEmLpIB1gTYANqoioRUboo7usJkQj8hHJYEC31+H1N1/j5Zsvk2vL2vomDx9v0On2CKIQKyz77X0e7XfZ2tvm1TdeYXl5jmpV4mzCwcEOg8GAOK7y6sUV5mZnUbLGcKAZDRMG/RG//NWv6Pe6LJ17m7fffvVrns0vZFpMUWpSwBHEVeShFgp0GbYPeNJkUZTAdMKTYiEKcDvlgRYCFQRY45C2SAXwjL5e77E+199aX1vZUbRVLI9ldaHpF4VBYOLRd0eATykTz/tZXvgStAopJhEOJ24Hz2REL/DLmds8RU0qDall7nH53anNPfXHqXYnhz6+2ZF1/uQWJ9aQyfbu+B7FXLCH5sNTuvdcVYvTxuK0M/+mpUDNHB6/caRM8f7kKImT5t/TzveMnhy7lqe39DRzxlF0f3J70xNhwpZ/rNFDEQpT12s8ZMd7c2g4i40FeHBnDM5BEEgStDdCOoFwypcMNQ5rGOscruAGKUuHlqR7lqKUqCs1HuO98cW5yGKtLEPxbRHKbnLD7Ows2zvrfOc7r2GN5d69uyRJRqCCsYHRFWynzvqFwTnj9RysJxiU0usnShGqwrAqvHFFOoEq+pclCXt6n9defQ0lAr64dYtmq8nFS5d8uwLWNtbZ2dvj9TdeZ29320dbinIO+tJ3xuTkOic3GXmeY7Rhbm6OQAbMz83RaBtk3EBbhbKAOxq6P3VNyusmKMq3+nMNpSASIHWO1pZAhARBTCYCrBEIJ320osnQ+RBhM956/W1u3LjOYJSxtrbO/Tt36bTbNOtN8jz3kQw24/6DBywtLTHTmvF9ctaXkLeaxaUFXxGp2aJSqdBu79Nut9nZ2+Xjjz7ioN3mve9+l5s3b54wj708FegPR4e9xWXpPFmE3UspiZTFBSDtBPyPSztMzXldTERrS8ZbgQpCpHMEUiFDizMV8iTAGE/SYITCfEsBxQt5IS/kX4do60hyTRBXPLmdtQzThCiK0c4xyjKMASc0xgrv0be+kohxEuMc2vlwXiv9Q91YyHAoZ3xu73gbwLhxRJQQgmq1yqs3X0VYy0/+4Wc8fPgQJWKUUugT+muMGfdTFA88ay1JklBr1IniCGFygiDwIXTF9kG1gnOOWq3G3NwcDx484NGjR/zH//gfee+999jd22VtbY12p82NK9cYdLvMzc6OjbHOuiKiwDEcDtnf36fb7aJ1Tr3RYH5+nkePH4wjPhYWFry+IyU6ywnC4xbnCSCieAehBGVzYumoSEPW62GExImAIIwZGU92ppxFYEiTAVGecH55mcuXr7C3t8dwFLC1tcVPf/pT1rc3qdaqWGN58OABw86AlZUV3njjjfHY9Xo9giBgeXmZmZkZKtWQNE3odrsM+46Dgx4ff/wRGxsb/Omff5/f+97vsXJh4WuYjS/kNBllE0Q6SZkpkbavSS2F9Wk2xb3lnBvXpneyJNf03B0UHi/rnPd4Se9lstKXeFSqiAIQBm1NAfAL9vwpb6UH80UxPscYMLqnw41DMg3wz/boF97zZ/YYny5PjwyYPubxjQ7BUDF5cwjjnNjgCU6Xsbe9/GICqs70w5waHXAULLupjh0GcqUR5syI+zNPbnzwZ9hmetujB3mameM3aetZ+vUMxxiPZUk3O11Bp/xN4D3exfvCwHXcM/7l5cQ5P2Xw839Oqu7jJn9PmhenHq/cZ8q5ONW2m64s8FTnUuloKO7xQ8YB7xk3MvfPs8yR5Q4ZSFKtUUIgA18az2SaTEtyoYqylL4miAZya8mtwxTh/YdSqEvekYLET2cZYWAnOenOISzkWjMzM8v165eJqzk//odfs7+75yMkDOPy6M4ZrDPgfHnTNE3QOkMp5XGgcAQK8jxDSYHJUkZDb6EQxflXwphWvUmt1SLPc56srbKzu8O/++u/4u233qbXPmB7Z4e9/T1eeeUVfr6/Q71eQwrpDRXWN2SNIc0y0ixjmIxI0pTWTJNKHNFpH5AmI8/t01wgyR1hakAVyd2uNEqWa6//r4T3DorUhBwlNaEwoA0yqNAdpqj5KkKFOBQKhXQGdMLCXJ2Va4tcunyRUZIwHCWsra3x/vvvs99uI5XnSrp//z4bm2tcvnCRy1evUq/VybOM3PiIoHqtRrPRQMqAJEsZDPrFWGvu3L7N3u4uf/Knf8p73/0uS4uLp86+pwL9/jA/ecoWORpSWnJpCKVGCImSZe798RvaWh/xYYtXmQvnJ5q3EChCTzRlHVZapAhwFsxZFucX8kJeyAv5kjIN9HvDkY9ISjLCSs2TgeoMCLDCYgtPfm4FTihfcssJcutrZlsZAILc4Mm/rCG3Am0FGoF13ipflhoUQKVSIc1S7n7+BXNzc7z+eoUvPr3L0TW03CfPc7IsK4yugjTzpHz1RoMbN66ztLTE47u3aMUxLgzB+eiAWAgqlQqzs7Nsbm7yk5/8BCklMzMz5Fqzv7/HcDjk4sWLLCws8OTJKvMzsyilxkDEGFPkKmusNWNSwEsXL2KMIY4jrl69yiAPiRYWvCVfSrTOCU90MAqsKPMOvZc/FA5pc2JpiIWmM+ygRYCRATKqoG2Ok3gFIk3JRwOW6hVWVhpYaxgOU27f2eAff/xruv0Eay157sF8vB9y8dwFLl++DPjohtFoxMHBAcvLy7RaraKqQcJwOMSYgCzLefjwIV988QV/9Ed/xH/87/6KlQuztNunk9+8kOcvgym/Q6k0F4H3SOfDK4UEpwRSTXLwbaGOOOuVTCm9V0kgigjDwjEhFELiCTwlPpdUghIK5XKcEQU/0ATElM76Q6XEp/4/7An91+G0mIJMhzz348CF36it4s4XY6gPlHmz7jAGO9HxKo8AySM9HYO6qdcRoF6CndKA8i8nh0b2hO/Pkt90fk23O01mfdo2R+d08enQxynd/zkC/KMiDoH16es69dUhcRxOxXjWMS33O+rNLz6Ucwc3jvAZ/+ymt54A3LKpiXnbgszAeeN9ksEgyalGimSQIp1CCEdsDVZ7rpu0MKo46aOTND7KMDfed+977iOoKYrvUR7fKvI0JZQG6/AR1AgQgiCM6HX7LC0t8ZOf/U8sLMwRiTm++Owhg0FWRO5PohSds1jhSLMUYw1BGAIGUVCZvnbzZZaWFtlcvY+wkkoYeCOtEERxTK1ep9Vssnewxy9/9Qt2d3dpVmsMez2MMQyGfc5fWCGuhPT7PWZnWkVqgE+18eXaHVmek+mcROekJmdxaQFjcobDPt95+006PMG2WuS5RQQOJdXURZoiUmTa6ChAWJAGQUYgUkJShM0QYYV2N6e+XMcGFSQBoQNlDcLmLM62mG1Wabfb5HnOnXsP+fmv3md/f5cgilFxSJaOyLKES5cusbS0xMLcHHmWMRwOGQ4GvPrq6wRhiNGa3OR+rJ2h1+tx+84d7t6+wx98//v89V/9Fc1mkzAMT53FZ4Tun8xaL6VnihRWItEo52tMK+kQwhKGkSfNm7ohxrkj+BAp6yxOu3HYj6Cgs5KeKEs5n0snnhaf9hzkmUhwvoxh9YX8i8tvxMz7Qk4QcYL1+1sgz1NnEAJtJUnuaFUr5EagDVhhaTiFJSDJfa6cE0WJLevQzj9gjRAY5738Piq9IOtzDuENx2gnyZ0gcALrJNJ672J5/CiK2NzcZHllhcWZJf7+f/kxw+EQWwlwZc5rMY/LkP0896VsVBBSr8aoICBLU0ajIZ12h36vT0UIbBwhnCOKYuI4ptFo4Jzj9u3brKyssL29zX/9r/+VP/7jP2ZhcZ7ZaJaV5WUe3r1PMhqRxhVaNc/V4vOOHaawvAYqQCqF1l61uHv3HrNzTZaXVxDxHBu1xniYXZETd1Q8TCs9pL7ObyAcgc2oKO3LzAzaaBFhZQRB7MnSBARKYLMUaTLmZivEgWV1dY3NzS7vf3CbmZk5Xn/ru3zw0a+59/gW9ZmIS5cvcPXqVZRS9Pt9rl27xu7uLgsLC1SrVYQQPmIi9waA0dDy+PEu//iP/0iSpPzFX/wFyysrWDv8tt0V/+plpEtLkZtSkv3sUQ6UBA8SPcv0JFd3QrgUCOnzXvG6irNuiuSv8MQ7MfGGlcziQhQphRJJGeZdeMOOJQQfBVAnyW8n6B9DE3Ec6B+VMz3xRWtW2vGnae/aNOPiqW2N88JPcMVPt3Xs77dt/KeNEdNl/+BwX59Xv6fH43DFqsMA/dsq5fPzJANFwdc15shwp2z3m4zr0w1145Scsbo0NY7OO0dFsSaN7U/l2AvPVG8Lb7I2ggxDJbLYkWM0VEBIFDqEyNFOksoIiIpEe89bpp3FFFxBbvzPWyEnBMICQeABu9Q4Y8ch5wBWa2bnZvnFL35BvVZjefEyP/riF+gsR4oyp90UAH+yBhjnkEGAcd75YIUhy1KsMNy5d4taKBFR4L3lwqc1SuUIAsFo1Gd17QnnL6ywvr7BT3/+M65cucLFixdRSnHjxg1WHz5kY2OTRr2OC71e5Iqordxo0iwnzbX3hBcchWk2IgwFUSB56/VXeRQqEilxKISTOClx5IiphWZMQ0DxZJEOpQwhORWpqTqDTofIKIJqiAkraBVgLUiREYqcSDhEbhn2+mgr6XS6fPHF51SrFf7wD/+ADz76iEePH5LkGdeuX+Gll14GPNFyEIbEcYwUgl6vQ2tmFmMtzlq09oaL9Y11/u5Hf0eSJPyn//SfuHjhAmmacrB/cOr8fCrQ1+4UC4FhXCIzlJJAROO1SQCptkjpxp4gWdJTl3eBf9LinEVIhXOWLMvJsgST+5xNIdTUQv31LTjPRiymwJ1dqu/rJn/7siRoSp2dhvescpQQ8Nss31bSuG+DlN7hp28Ek1C8w/t+kyKLBX1agi9pfzipLQhpdwcsrayQWUiSnEA76klOvTXH/uoTn+suy2wthRWS3ApyZ4rPCodAW4twPoxfOOE9/zJAO+nJRYMIbTV5mhFXfGvVapUoirhx/Tr3bj3gwcOHKKVIrSU3+Tgn31pLmqZEUTQuhZdnGUGzhii89UmScvv2beqRRClJkiTEQYDWmmq1ShiG3Lt3j3PnzhGGIR988AGVig/p39vbY/nSIsPhiFu3bpHlObpY06y1OCERSuCswVrLKEnIc58ioPOctbVV5ubfQAhYXl5me6TIrSXLUqrVGtkJAWJWCCyyyJ32PLeRMCibUA1ywnzA9pN7cO41RFRDO4kKZ3zZmTQHkzLfqqFsh52tXfb7A+7df8zFCxd593t/wvrmHqPhkDAMWV5Z5o03XmdxaZFup0sQBPR6PVqtFkIIwjDEOcdgMKDb2+fx48fcvvUYZ0ojSYtmo8loNKLb22Z3b4O3f/Mp+EK+pAx0WVbXFcqZLRTnIve9KHOp8I4CWdopmRCtWeFJ+HyJSOdzWovHtsPnvVrrsNYrr7YgRRKoCcgXYkx85Xec9vadBCiPAopy8fo2A6nTZVrBPwT0D0U0PNsZliDfClsYY6ZAbsmuXTiIjhMZTgM3d8LBShedPNW7/GV8vF+PTIP8EgBOe43h+QP+qWONPdflVZt+wH4b5+lRw0jZV8nxIo1Htzs6Q7/8/TjN/VC6No834489ZgkSU30XE50CJ7EonNNoZxCBQ4SKYSawLmIhFkiZkgtBQoiwoS/rK/w96TmCvMGgLAmKs0XVITAFcTAEIB1I7dcxW7hZrfHVh4QjDkLefv0lPv3I8/Uk6ZAwjLBWIzCFcdNhi/PXziADiXCGer1Bo14jUpJ+v4tNU6KZOjJUni9FWLTLmZ1vYcnZWt9gfm4WjGQ4GKK1RklJMhqxsrJMu93mg19/iLWuYKj3pY6l9PwEmc5Ispz+aMBgNEAGgtzkfPLJR/ze996j3mywXG9hdMAekqGQZCKYGBadYcInISeLmgCJIxKOWFqq0lBx8Ou7d7h281VfkjmuomUA5AiZEIicWCmchn4ypDsY8tlnnzO/MM873/0uD588pn2wj7WW5ZVzLK+cY35hhp2dXXrdLnNzc8zOzVGrVkEIjLHs7e2RZhm7u7vcunWLTqfH7OwMcXyO+fl5DvYPSNOUdrt96jx9OtC3z0Cx7hyHyhOAz1WwAuOU9/5bAVJzdCl1zrNgWyfQzue1WleQM7nigfo1rr7PDFgcR+OTjm/yNXuOvyq4+l2jOvi2ksV9m+TsMZoKYfoXlkN9/YrdOtyWwyLRzpFkDhVWcKnGIEm1oxoGiCDGOF/OxomC5VYEWOc9+pbAe6aFwBQkRUL4h5FBYUWARWEIPNEcFhUo4liR5wNqtRrXrl3h9p073P78Do16nf1RDyvcsZOsVCrEsQeeUkoqlQrvvfc9rl6+iDSapNsmcw4pprlUBEpJFhYWePDgAWEYcvPmTX71q18RhiGzs7McHBxw89VXkFLy5PFjkiRhdnaW2ZmZMXmPdY4sy+gPhgwGAw4ODtja2uLixRU++fRTjElptZrUajWMqsDo0KifcjUKMqHid+kMmJwITUUZ7KhDTVmSagMb1bAi8CXPtCWyhnolInCGUfeArfYa97d3icIGf/CDHzC3sMLaxi7dXo9r167yb/7i33Dh4gqxilhfW8cYg3OOIAh8qcMg4ODggNXVVba210mSETMzMzTqSxgdYK0ljELW1tZYXbuDscmXm4Av5EtJaifAb1I6ajKzxLjIHihrfW6rD6otfrNYaQkUPoxfeBDvSaQVFGXxtBUYaz3oL5z13ruPjz4Uvq3D+GsaPEzpAsJxiJRsHOP/L7+mfhUpwQVMnc0UNvxNzs6KEpaUYJNCr7TjxoU7yWh/1AM+ddRxX8SkzVN6VSr8p5Wo/+akBH/T3ucpI9LXMneOHrP8bsKc/60VAVOQtpCTwkCm5skhT/+JDX7JrkxzEUyPozj03SET03je28JTjtcvpCIxOVYKVBigLWS5BBESRTHCSrQR4HxkNfhg+amWxmDfH9EbjRwKVZCboyyWzP/mVGFIgyBSqEDx/e+/x6cf/5jN1S2E83YB3JSxxLlxGVEAbSxSKpQK+IM//AHLiwvYJCGwmo3VxzhXK6oiGZyAMAqZmZ3l8ZNV5hYWuHz5Kj/6m78fpyYC4+i6tbU18jzn/PkLKBX4/qP8dZTSl2PXBm0txlmEEHxx+wusyRGBAGVQLmNGWjQWLR0ZE6JUHx3myQpFES0oEChnUUAsDLHUVJUh1DkCx0hb4tl5uhackgTCEomESGZgEpI0o9/rcP/JQ2qNOu+88x0Wl5Z4vLYOCFZWlvnL/9VfsLS0NHXvWayzSCkJwhDnLDu7u2xub7G/v0+SJDSaTS5fvsqdu3f8+FjD+sY6nU6HdrvNvzllfn5loG8xnqF2SlRJzFcYZT05zmEmfhBFeRtvHfdAvyB6oAjvH+e8fIsXmxfyQl7Ib7U4odDO0k8yoloDRhnaWhJtqKgQFVXIMuMJ6RAY4T36Rgick4VHWnqwz7S/EaxQ45cT3mIPBilkEfEUEUURD+4/YG97m9dee4108Cnt/QFBoNBTi2vpdR4MBvT7febm5njjjdd55513GPa7LLQW2MoS+ju7VKvRFNBXXkEoNJGrV6/Sbrf5xS9+wWg0GpP71ep1Hq7eZW19jStXrtDe3SMdJb4NJFYbkiRhMBhw//59Dg72ydKU7e1tls7N02g0WFxcpFqtcTA4md/l2NgX4wUlaHM4kxEpqCnIDvapR5I0rEAQgwq9ocV5SrRqHGI6Q/oHO+zsbNFqzfPSy2+ztLjI9t4+Dx89otNp8/uXvsvLL7/MYNhlc2OTra0tbty4wfz8PHEck6Yp6+vr3Lt3j263S6UacPPmTRYXLqHzkM7BkNEoZXd3l8+/+JDhaJ/LV1ee4yx8IWdJXobRO+UrHJdO3FJRMj6aRljv7VEUpE3Ol8BTOIx05DonUL6yjy1C933ln0Lls6CNG1cK0m4C+o1z2EJZdWXYuChzdAt1bQyAD+sth+0BRwwCMMVm/azytG3FM2xTbnfGNgJO87iU5+whjfAr35mHLMpbFUDNm2I44uks/giKMmVTK8Uh5/00mBJTXrrJd4fDDiYg8PgVmG7ztJN41nE9OwL08LGmgOjRSIWxJ/gZDvvMx5t6f8zCMW1Q+Ka9+meN/XHj9+T76V2P9n9686lzGt+HZSTA9HanGQRO6RondG1seCj7Mt2fyeeS3V0phXOKxKaMtCFWNYT0PELGgopChLbkuUEWBKA4CrxU6h5l2VDwJUllMRwK4/x6KKTA2AxlHcL68qLg0HlKq1nn3t27rK9tcOPGK+xt3yLL24RC4GTBBu+KKmrerECucxCC733ve3zv977HoNuhGUY8unMLhUBYXznA2zcUtUaVNEmZn51jaXGR9sE+X3z+GSqQVCoRWZ7SbDbotDs8uHefN998k7u3bvs1stC1tLH0u12GScLu/j6PnqwyHPaIKyEyCLDO+GpD9RpKVxh0MgJylLPeJOykL9HnSkOfQ4wNQf6KhdYROkvocgKX0+3t05qbIUGSOImRAUJIAgEhhlCkJP02Mu+zu71HqzXLW2+/xfziIsNRwsOHj9k/aPOXf/h9rl67hNaaLNO09/dpzc7SarWI45id7W0ssLu7x+NHqwgJN2++woULF9HasLm1hTGG9kHbO1m0ZmHhdHLgpwN9c/Yklw7MkTx65UThybcFE78AYQ5NciEEQaD8NLEObRzGWjDFZBWFR/9rrLP+Ql7IC3khTgiMc4ySlDiugFIYa0lzDVIShBFJliAKr71FjuvXliB/8pdJjpeg2Kbcx6cNCKmwxqLznJmZBkYbsmTEzZs3SfoZW1vbDPoDaFZAHlYYS3Z9rTXz8/MsLy9z7949Br0OrbffQms9VRmliKhSkrhaJQgCLl++TBRF/OIXv+Du3btcuHCBfr/PxYsX6fd67O3tsbCwwEy9yfqTVYSxSCFQQpLbnNFoRK/XY2Njg1EywFhLrVbjz//8z9naWieKIgaDPvfub8K575499pRr/JQiZHLCyFEJBcNBh0rgvawOiVABoQyQ0hHZAGkcw16XoNdlfnaGK29/h8Wlq3S6Xe7dfcRnn35KFEWcP3+e0WjEo0ePufv5HYbDIe+++y5KKfb39xkMBoxGI8Iw5MaNG9x46QqtVovNjTabGxvFeQ9YfbKKMYbrN65z5er5r2E2vpDTpLR5SVdCvikffqHne/4GzyBtyl+dV+KMMEihkcKhDYUH34JRSBEglfH3sANj3Lhkla+qIYoSfYUWI+FYKPkRZX8C9MW4SsA4mugE1cqBL1f1FCkJ48T0gZ6+h2973PETjnrIAnFyC4eo8krcMv3yB+FQGsOpp1KCtak2i6/dVF+kmDIAToF7Af7Kjg0jE+A2CfwvgbHwhpjxocQY94/tAeWgOoptn3INjtdGO/UUf2MZj4k4BL6fd7CoOPZm6sMU0HlqG79RON2zb/vUdg/dX+LIl5ONJqW4jxh4DrUtp74Wh7975n756zW+DcYJ+Ec2O/X6ibGRcFxy0ntFSbVhmGTUogaRcoysQWuHrIUEQY4zGY7KxLngymdpMV+KOT02ohdOCeMgUAqkwJiUAOkNadZvHwWKWrXK6qO7vPbaaxzspIyShDiMvZ5UlP8rI6KEEOiitN75C8tEcchPfvrPhMAPvvMOLs9RpWHPFnPLCpIkI880ly9fxgFrq2t0Oh3m55dI04RKpYJ1lv29vTFxbn8woFqpEEfB2JudphkHBwesb2zQ6/WpN+pUqzF//Kd/yurjB9QbLZIsZ2evj1UNgsgSSk/cik/yQqCK8S/IVgVIp5AIAmcJXZ/QpkilGSUjgigmDyokRoJSngjW+igyScYg6eLSAY3WDBeuXmBuYQFjLY8fP+H+g4dU4iqLcwvoLGV1/Qlrq9usr2/z1//r/44ojul0OuwfHGAR9IdDXn39NS5evEC9VsMYw/17D9jd2cFay5MnT5idmeHipUtcv3bt1Pn7dJf9MxDheYX3cDPWSYQVSDc1iYQ8tHh5SogpNmcbYJz1RDilEl2E748Ds4S/FeUzLBz+wfAshgqDOGNVLq1k09ZXh/PjU1pgBQhR8l2W5yCKUF8x/s4TTp29cssj64W/gd2hVd8V4Thnibe7lXKSpbt4lLvDHAOlR7AkJvJldo4shs6nWxwWf3WPD787/FfypcgWHTz/p98hKYHH85CjkSyniHiW2foc5Rsg2Tv6cJRf8nCe+HP6m6NeDxg/4I934sz2na2hXcYoS6g1JUGgyVODMCC0pRZDv5+g3Qy4giXeFXm/TO5VNw6W86zdUKyPyhPQOGcJjPNAw2nSJKOyMIuyltduvEy30+Vvf/QP7LQ7VFozpFIeOkXnHGmaEscx1WqVmZkZrLMkeZf5xSZSaJJ+F2k1gfCKshWQWks2GuAwOKf57LOP2dxap96o0mjWcM5QqURsrK8yV29w/dp1vvj0c9Yfr3Lz5VfxoX0Buc4YJZZ2b8Qgz7FCMcw1r771FnGjyZ2fPWRueZFms0a716VyfgBSMDQBUtb942Qc4hUAFmkGCDSOCFGEIiqTEgc5wmn6PY3TdXrOoWSMkFUiKRDSEORdksE6yXCXpUqN669eI6jPkmSGYWa5v/qE3c4BcwtzLM7P0NneYufJI9bX11lZ8d74nZ0dnjx5QqfT4eLFi1y7do25uTlazRaDfkKW+Ry5zz7/BKUkN1+9zGuv3+TatfNE8bN67V7I85DJnVx6dwtQNK4VTfHejsvmCQHCepOAI8QK5fWIwhXmaz/7e1LgQFqfQmgn2M8VUYeTevFFL07U/cUhf2iJhIVgrGectiI9C3gfl8NzZ2kth48kRAkCDusQh586px378NlYJpCo9ChOcJYbq3lPOxPfhYkpZNoLX47DuG76lHO28E/68qQILHa87lKAe1ti/BJIHRsoMTnm9FdSlCjpjGfxMzypnxEwH2/yEJqlnN9u+udi7E5u4CxD0dS5jS02Uzw8x7zYRwD1VDsnvX/KkU/47iRv+2l6yeEyfeLoeB3a/6Tr5zh8bx2+S0/q39HTOvk0DxsaTtdBTjn/MuJIeM+/FrL4TvgowhhC5QhzsNrhUARSIIUtMEg5lw8fQ1o//8d2xZJlToCMAqx0WGO9V9vh+wDU61X6g12+9/tv0+3scefuZ/QHQ0+0VwB1NzUZBWCNz6lfOX+eeqtOr9tmcWmROAwwaYbNcjAF6WlRbS0v9Jg81zx+8phPPvoEZyEMQvJMM9NqsbmxgbOON956g/d/8Us6nQ7NRrMYTjE24u3t77O9vc3efocsT/mDP/h3nFs6x/u//CW7e/sMhyPWN7pcfvkGgbIoqZEi96wJVqBsODmbYrHxJgBJ6CB0IyQDsmREtz8iJ8SpCCeVT2swBpkDuUHrIQ5NVK2wsrLM/Mo8YRTT7w94cP8hB/sdWs05arUanU6bx48ece/+Y6qVJo16g25/wEFRVrA1O8vNmzep1mrgLHt7u/T7fVZXV9ne3kJIyYXRBd584w3m5+ep12snTVDgDKCvxNnkckZIrDxcH/lEnZz42L7SToPG0HP8Hb1Rph4aSng23WcRaSE4Ma9rum1HiH66BbfoUy6U74ywgME6jSNjnGcjLBEgnCyiESSGwNfaLkJ2Xfn4cWeHtUaGww8oB9oerqptnUTL00sqTJ3BEaBfEk4UJSac8EYLe/h6K6EIZIA1FuM8AddRSpwTnzlIEFWOmSqE70t5YoIcIX5zoG9tWf/zaxIb8Oyhd2eIKFhVz5CTSeJ+e6U0Eo3FQWi/gvnk2OXWxxqTBfnnRMo5/jQRaL2AFAmjfAPCjLg6JO0LlFHYUcpcTbO/1yWxVw4fj1LhdYzZSYXyIXRCQFjk+MYSKx3CaELtS7XkSpImPULbZKneIMgMD+88oFafQTZH9Kz3XHvX40SMMUU0VMD58+cJIknu+jglwfZpBg5rcwLtOVES58it5XxrjmazwtbWOp3uHq++eoPNzSdYm1Kp1hklXbIk4eaVK9jBiEd3HmBSSySrWCNJnaQ/UnT6sN0dsd0fUK1WiOfmWbxyjSd7B9xZ3+D83gHnAklzaY7ZVpfECZKuQck50tRB6EnNhAIhLUq0CawgpomxCmehqhLq8ZAk6bJ74AiYpx9HNOI5MHVUDtUwIdAPSJLPaTUtl1beYXllmY3OPt1uj19+epdfffEp1AKIIBl0WN16yMYXn3H1+mt89733yPOcg4MD4jhmeXmZxcVFzp8/z3A4pN/VdNqG/d0Bt27dYjg64I//5A/5zrs3ieMAh2MwOERC8EK+dimVATcmmPKfvSfGldtYNUlndiVQEniW6hAHBGOvn8WKDCF91iauJOSbwACfp18aFyYl9USxtNixF34K/CCLcNAJZ0e5ybRifVzOeB6WWFQ+w0p6SCkfuyd81APToO+sqElxzFUw/Zr+vsDah7abFjvuUPF3qs63EA7nBEjhgfwEpUCRqiOcB/nKBwR7gkXGwf+MKzu7STUPilrj0hURV5SOmKJBPJGaK0MlxBlQ/5kAvDh+8pMGJuc/Hvtp60j53CrLfh3Ruk5s9/gcPP3YJSCdfk2R/41tBqcBVKbaAHHGXHT2tN/L4x4FyCfPx8PbHD3fo6i82GYMossvxaStY8YYd6yNybifrm+KsYHo8DGeTURxT/vrnIuSOFKR5T4WMAocEWC0xNqAQFoCqcmsRuBTAsfmkcLBKSh4dabv28IxIcIAI8rS5tanOjlwUpCMBly42KLb3+Gzz2+TGYN2jlGW4qwodLpS/xYIBVYblJQsLswTVyLSJMAYzWg4pBLHjIRCGFtEWfmUqJnZWRr1Jmur62xubvHW22+zt3MA1tKs17HG0N4/4PKVy2RpxuPHjxkMh4RRhDUarGM0ShiMfNh+f9DHGE2lUiEMItbXNrh77z7nz19gptlkbnaBKBQE46iuFI/KpI+1dD7z3wpvHA6kJMASioxQDFEuJU+HrG9tM7tyGRXEoAI/3kYjciDPyPMBzVaF87NL1Bt1BsMR+wdt7ty9x09+9nPiqIKQkiAIuXv3Lrdv3eLajZu88533ePzkIRYf7dBsNbl46TLVes1jP+2xnzGWW7c/56C9zw9/+EO+//3f4+LFiz5Hv3PAYQ11Is/Atvf1yVEGd3fGwvIljnDmFloEZzr9DAFmzD5ePDiE9xAgNB7YWmLrFxB/ewb+JrReIxBCFlEBkxy+p/frCEwWDnNkR/eM5yjG6kmxvytt8obJg8Si5GFQIZzF5pm/qW0RiXDCeqrk8X6ZqR5O/pZEHlM7v5AX8i0QKT3DqdaaIAgQ0teez/OMmpC+RumzpZ2fKcYYhFJorYmiCCkkH/7611y6fI3a7DIPtvbRmcAeIT8Rwpfi6/V6NJtNKpUKo2Ef8MRjC7Nz5M0OB+tbpHmONhoX+hJ48/ML7OzssL29zfz8PFJ6Rv65uTmUUmRZxvLyMmEU8fDxI+49uM/iwjkynROomFxrhsmIbr/H9vY2WZaTpgnvfvdt4kqFf/qnf2Jvb59ut8vsXJMLF88x31Ds9RNmopARI3LpI7UklpARoUuIY0sgQ7DepmG0plURxJGht7dHblNUWKdebxIEIfkInAFLyqjfIc5Szq+cZ3Z2nuFoxHA45BcffMo//uIjZs9dJMtykkGX7a0tVD6gVq/x+uuvE4Yh/X4fKSXnznn2WiFEkTOX0e0McCbi3r17vP/++7zz7pv81b//KxrNCoNBF4evgPBCvjk5RA827VEc/+fG4GQSKDYN9EXx+PHlML0UufUeAZffTHlRS0AoJqBgyivqnA9QKUNnx4aAokseTBe13sUkzPeY0lFo6RLf2OG68oe3m4C0k2UCTeShwzhXlLU6VI3m6Q/h8ldVRPK54txLx+PYXuLDBYrtSzB5pHVXXsNp8CTG2zqkr5SA5wTxIc3++xKe+0BbH3ArhcCMtywMGUKMHaiOwtDhnO8wdgKrx5dTjOfOIcB2Kq57GoCf3u8ZjQHjP2OodsLv4in9+c3luDH8qLd7vOGpxy3B/VlzcdzMyU56YCpy48s4Ok7Yx1/OUlcvvxEn7CL8tPgKiuh0389s5dgG5TUX40hZJ3z0n3GSLHOYXFMJQxLl0BpGuSKqNAhVB21zED7azpOJln0oDENOoKbOtVzPRKQwwqMUUXr0rY+ra9ZrRKHi7t27XLp8iaXFiAf3/gkhVBHRZHFWjLN0fKSvZW5uBmMy+v0MitV2tjWDunCJ3dV1rLZYY0B6E9v83ALWOba2tllZvsD+wQF5njM7W6FSrXCwv0+r1WJ+bp79/X1+/eGHnF85T5KM/PrlHPv7+2zt7TIajhB4/qJz585x6dJl/uGf/om7dx/y2mtvUK1UWVhYRCmLsppAGqRLUEKjFITlWIiiilwYEAUSRYIiIXSG0EjCICJJNSKoIFWMkqGPDLMakTtElhNJy8LSHEtLKwQq4M69L7hz5zb//OOfMDe7hLWK4WhI+6DNcLTHwvws169f9YTACJI0Z3l5mdn5BYIwIssMxhqsc+zu7/PZZ5/xk5/8hLfffpt/+2//La1mi9EomZSDPUX+xYD+SR1z9izL8m90BM5aHZ3wrNhn3egWVUQaCHw8r0CIYPK0wwCKUHvLmM/HDTBInLVjYkGLxErIn/EZMI2fnQNzbHh83ekzm3LTlkm/39gDWSw0UlhCcThioMzrE0IggsmCfPiyHb+OFot12ekn9kJeyLdIBKCULOrTe2Z1JQ15lpOmPjIhjuPnBvR9yVHvsSrruS+dO8fy8jKf//Mv0VojVYzR5tjdEgQBzjlmZmYAfLm9qmKu0SIOIvIsI0kSwiAk0xoZB4hQ0en3GPQ6rKys8NJLL/Ff/st/IcsyoigCfARGo9kkM5q99gFxtUJrbpbcGfI8ZTTM2D3YZ317i529XcIwpFJtEEURn3/2GR999BHGZnQ6HZS6wsLcDEGyg2nnNKPLhKpJpRZDYJHKEilHIBzVZoUgquJ0hE5B55KAlDAYstvbxKgcVQuJqzWEk2hnUVZSETla5NQrAa1mgzTP2d7e5P1PP2J964C/+Iu/IKjN8OMf/zP9fo9ut8vNyytc++53GEYhvV4Pay0zMzPMzc0RxzFa6zEQGgwGrD15xK9+9StarRZ/8ed/QbPZpN3ZQ0hLp7PPo0eP+P5fPJ858ULOlkNhqJQ80eUdMv0cLOG2j1yzTLy7fk9fhmocAQCUHlRX7jc2ipdg9DQWch9OW5abmj76EVN9keIzDXI58r48J092Nb37WfhxOlze915O8s+L/T1BlzsUKejG0Qoni+MwAJPCl8QsQb7/PDm+s1Oh+0f9AqIYGysOjRWu6Ct23Gd/HhJl8QTNRbvSgRIOJV3hlS0qJ5SRW650J5TEqIXYAqQIn7dsSjBECUs4lEZ4KuY8C3CPge/0htNe+2kz0PTnctAOG0FK38rzwvmiiGA4DvZP3eEpP50N0N3R05r8wvRZndyvs2QClI/3rWz+pA5MzT3KaJunjfCz45Kn9/8ETFJ21E24IzxjvsRo792thyGRsiTW0MkNs7NNAmVQWYR1YVHJZ9L20StbrnnjmSY9X5B0CuUU0qrxqrewMMfB3i7nl8/Tai3xN//zT8m0RogKQrqCYNj6qEVncbkhkIqZ5gxpkuOkRThNo1JhrlnnySf7mFSTjUakSUK1VkEKSaQC7t++z8rSCjdeusF/+5/+G0opWq0G4Njf3+P6jRt0220++ugjXrrxMq1Wi1xbfLUUxyDJ2Nraod3tIWTATKtKFMbcvXuPn//ifXJr0RYqtQbLF86zuZtg8j715hKps4jQEClLKDOksARBgAokUmiEM0ibInWKzHMEgs2tDpmqYsKYKJREQvs0zlBRyQx1oWmFiigUJOmIbrvL/ft3uXfvHn/8p3/OzMwif/ejf8JZ6LQ7XL62QrNZo1atkI4SBknOzNwc586dQxuLMYYgUIxGI3Z2ttja2uKTTz5hdnaWv/x3f8n8/DyDwYDBYIAxlocPH/DuH508875VHv3fKKfpLBHTYPYpfSDAPW2ho7BclTdSEaovpPN1eKckpMw8LUJUnA/rM/gbwwpPKHQm0C9A/SFeHgH6KCkoDvkM5yicQo29EY5xSZLxe4cSlpjDQF8IEEUItlLKkypOL57FuzRJDy1f1kkmPI5FmoArlafyr8Ce5rV4IS/kGxYpJbk1aA21qIaUjlRr8lwgZW0MiJ+HCCnJ85x6vcbC/DzNZpN6ZZ6PP/6Y+/fvA15hllLizOGb3hhDpVKhXq+TJAk4RyOMWV5YIhuN2NnaYjAYEEURmTWEAmSoyHXOwsICrVaL1dVVPvnkExqNxthIV6vVyPOM7a0NBmnC1ZdukGeGUZZhDPR6A3b2d9nY3iLLM5wUVCsVNjY2ODjYJc9zbEHWV6/XadarjLZWoZ+zdGkF6gpZq5GhkNISqZBQWkwlwCoBmUMLh5YjTNpD2C7d/i7EFYJmAycD0A5lDVUFszGo2QpNN4s1OVs7He7fu48Qgve+9x4vvfkev/7sNgftA5RSzM7O0Zpp0Ww26Y0sSilmZmaYnZ0dG0+yzBP7bG5u8tmnD+gcJAz6A67fuM7s3OyYiDDXCbdvf8HGxvpzmxMv5GyZYuvhuP9MTvRoJ8a1123xzCnz68cGATEBeIhpEF/UbBdl2LsbH29C8lVuO/X+GIt+ydIz7U8Uh34b710cxzmHIij81mIckm4LxHxoJRCyCFsHYQ2BcShbgCUkQtiJo0AUpT99aEJBnlx65XwtbA/ApwrVifFZgxBlOmxBRiqw0l+NybgWhg7hiug/ezJGLCMSxm5eURy/1Aw8Z5ITAYEKUNaMKyOoIi9fOIvEeOCPpiy1VVYqL8/LFB5HEEglvB5WlNEqr4wtPJ8UIbtnA/lpoH783E4Wd+Q1PRintHXEIFRyWX11Oe0kvykHzNQ4HBvLL9OHUybZsZ9OMrCd9N3XLCee4pSljOLecwrnItLMMlMThIFllEtG2jEnBBUlSDEYUTBwFRwjE6jv42Kmwb8sGvdYxP9ahvNb59OfqnGEVIqVi8v88pcfc/f+PYypoaTEE5VQcGsV60dhvAxUQCADVCSIwypzrRb5aER3b590OCKuxp5sXfp11FjH3Nwii4vnuHX7Nl98cQslPclekow4d/kKaZrSa3epxDEzrRlk4Msba2sx1rB7cMDWzg79wZAw8Gmb+/ttnHhEbi0iCOgnCa2FRXKbY9wA5yxLsyGNoIWIFVGUEagA0N5w4QTOWoQxCO2QmUMYi9MCN8hoVps4J5FhgEJSNQ5lLbM1xUK1SiQiBoMuvYMRq6tP6Pbb/Mmf/Rmv3nyL93/1CetrG9QbNeKoQqs1w8rKEr1+inWCxaUlGq2Wx8UOnDO0uwfcvnWH27dvMRgM2d/b49q16zRbTdrtNoPBkOFwwN7ePp9++ump0+4bAfplyNg3KUJ4gp1psc5bgvzaWuRk2Awp1TgUyVrPJGmLh2ZJ+oLLPYeUsFibe/ux1VinCSNFtRqzXAkRGtJMM8pzUpNTUZAb7ctaEKCFRCPHpDhlD0sPnx8rg1QFJwA+91gW/VNF2F2W52ANQShxzmKtHfe5GAB/uwtB6OKCjKMwfojCuo0GDCqAUDrqaGTRB2OMZ+9GUYkqVOKAIFBTx5lIIrxBwxXjqx3kWntlBF9/XBCCC8aMnc5B7o7bdow5kj4gxPg1/d3XKlI8P6NTqdT8FsjRcf6qbT0vObFfh+r+ftX2Gc/rNElpVppUKopskGOtHYNX9v1appQ6VIN9Wk5a5co67QwZrz9SSbQ2zM7N0Wg2WHt4n16vR61Www06xXaHeQ7KKKg4jqnX6wRBgBQVGrGlFoT0dw5wxvc3rlXJjCauRGgJKgxZXl5mOBzys5/9jF6vx8WLF6lWq1SrVRqNBp1ul7WtDcKowkyrztbWHlpnDAYJ65tbPNlYp93vkhtDJa5y0O7w5puvcvnyeba2N0izjFqtRr3ewFlD3ttEZpL5qiVsKagJRtp567nQKJGThJZcOqQxniBIjrBBiskHpOkIJetQbeJUiMgFlQCawlC1I0KpCXTK5vo2a3d3GA06fOf3vsPipRtsdTrcvn2H0Sjh5euXeemll5irKvI8xznF3JwnxKlUKgwGA7rdLqPRiM8++4zHjx8jRZ3Lly+TZgnzc/MMhyM2NzfZ3dtiMOggpeDVV199LvPvhTybnOC3K5YAOXlfvEoPlsf9k9J3h1nTy/eqWKPVpIHy92lcdKxk2+EycWNiADGm4vWKtCh+m/IcCleC8gJQj9vz97sqGECsMCCNV84lJQIv6j0X3kgrUDonzHJwPiKp1awTVPo4kWCsJbcG42LSrEF3kJIZrwgjlQ/LxeenlsYAAQjpSyCXcRC2GBMr8CAaMSEBc+U5lwBfjs+vlBKojgG1OBz5IBw0Q0EtMCjRB6Gxsb9w1jjyNCeQAY1aw3tAnWOcyy5G4xJlrgAypgAU2vgqC8aAdoVro/S8jB8h3hgyflaf9PwvjB/OiVMe6X5eeLtNSdhcXvPCqTIun3doZJg2Bx1qsRhfVxpIThGvOz7L87ss9/YvIdPOsmnDxzT58elj8a9WyntHeKYy50A5hXMhufEGNSXBqZhEa9KRpqoEPWGA3I/n2LYxNY6iNNTJ8XHKee4rmvl7yOP3UreoMDc3yy/ff59OL6ExO8P2RoIocAMYv55Zn+oikUgZ02zOEgYVBJZaRbKwGNDeu4dLelhjSKwmNZoaHrscdNpcvXYNB3z++Rc8fPiId999F2stURSxsLBAp9Ph3r37XL9xncEwIc38/T9K/f7rW9t0+gPSLEcFgTdWSMnc/LyfRUrRT0YE1RCtMhK7zyiVLNBhtjZDpV715yAEjsjjKOO5yFwOzlpiGRIqC8pwZzCgWasQBYI4CFAuQBpBLAQzVUFFGPQwY3e3Tb+TMBx2+N7vvcvK8lU2N7b5+KNPyfOcl1+5wRtvv0lztkqnP0AFFeqVBrVGExmEaGPoHLRBOD768BPu3rtHvV7nwvIy7f09FhcXEEKws7PDcDhkMBhysL/Pu++8e+oU+8Y8+l8redpJIkAepfm2ZV8mH2KZogKFlAWIxaCkQqMx2mCdRQlJLCQ2zwGLVBAiQBrCUDIzW2VhvsF5J7EZDEeGwUiTaItG0h9l9EcJWT5COgUumjykC2A9tvgLsNLihEZbn58hrEAqRWB1oTgIKgpEIAgCifUhBDAm2KAIhfKinEQKX7/bk8O5MZmgVJYoUtQixXwQIqX0rJh5zmiU45ymHgVUKyFKWUwR3jot1UD5mprWA/7MGJIs854VAnAhXolRPr+2rEksxJl42jP9H97oeQLSE8XKyeL4VeVItYlvs5Qh5d82Od6vQhl4jnPAGK+gZ1mGtZY4rqKUB/NJktCYbyCl9GH1Uo4NUkfH6+iVLu/HIPDGOqXUGMA3a01q1Sr3799HGs2bb77JdvsXZNkOhCEOhyqqXkgpsdaOj1+pVIiiCKctVakZdfu06k3eePU1djY2SbKUQZag8pTcQppnZFnGw4cP2d/fZ2VlhaWlJYQQ1Ot1hBBsbG4SVqssLZ3jwf3H9EYDmo1ZesMBO/t77LYPGGYpDm9smKm0+OM//mOiSPJ3f/+3nsdA+PI9nfYB/YMNarULYBOsHhAJ8/9n78+eJEmyM1/sp4uZ+RYe4bFlRkaulVlZe3dXdXVXA2gAswIznOHlw32hkP8Wn/lEUoSU+0ahDGVkBkPMYGug19orsyr3iIzd98UWVeWDqpl7REZmZRe6gQamtCQqwz3czdTU1FTPd853vkMkAQoUGYoUhYNQh1YKgxMF0yJlPBwwnmS0G0s0V7dptNroqElDx7RNTt3MEMWEbNzn6dNddLLEu6/f5uL2BoPZjP39fT777DMAfvTBBywvL7OxUmfvyUNIliuq/nQ6ZTabMRwOefLkCUmS8OMf/5i1zjYH+wM+/+IzRqMhk8mEzz67h9KwvX2RS9uv0ems/Mbm37ftG7RS08eFKg6ngqZ+n3Mi0LWFrcpdVoHU0Lwjf1G0c1EJ9+wTXYIQNQf2rgQr5T5ug1jgaTDj926JcGVM2Xhg7ATSaoRQXkXeo3ekcFhpkLLwdFnpc9Bl2P9KeKSlo14zJNqiMDSbEZubEXEzxpJTFI7UeIbhdKbYP4JJ7kB5cO9cQVZYcizSVIF2lFTzIIidV96xLkhYldVHAmtPVIr+7lyotlipvML6ECL4IDHUlWMlTqkxBpWTxf6eWQNjMSXRNTorMS7XPueXYNfIGU5YjDQe6KOwQpBbR5ZbZrmgyBOkUxhnEEUpSOx7K8KkEIi5kON5YFN4h8zzdh4XbJuysNnc7l1kUL6oPcfB8LU2j0AEJ9HzPldGLP9BI9ine7Dg6CjB/iLAL58jzvztn38rXV6xc8H+VCAicue8aa8dOEVmHPkkp64UIspweYrXCpMLx4IS6C/E8heGs1wzvXOoHGrn4Nr1azzaeYyxlh/+6AOe7v83jJt6wTqJp80bE2JhoeStkDTqS94WEjlKGKQYY0yPH37/HR7s/BndYZ+oWaO92sZaA0oiteLOl3cZDIe88847rHQ6WOdoNltkRc7T/T3qjTqNeoPJdEpmvJDP3t4+ewcH9IcjcmPJjcUhWOl0+I//y38gy1P+/C//gloSE9fqEEkO+/sc93doLV/E5MdE2TJJo44J0UYPxVSw18H5uvDUhSQd9iiynNlshGhE1GoxDeX115SURMKQyAxbDBj0TxBEmHzC22+/ydJSjdFoxO7uU7744guSJOLNt15jc3MDNEwzC0S02itM0pRWrUYcJTx9ssPuzhNm0zEf/OAHbF++zNHREU+ePAZn2Q/MzcPDQ955+x22t7dZX1977vz6R6Xu/3ZbiF4vvuPMM6XgWrJAh6h94YpK3bAWaVRdIYBECxIFk2kGWBqNmFpdo3REUtMsL9dYbkuWDbgc0kIxyyS5FRhgMNUMx4I0KyicJLdRyAf25/O5oSYI+0iUVozzFBkUtiOtiaIYWfMCWlmWelVznZBRRwiHUg6lSm8yFYvCOZ8bKCv10bDIuhwhC6IIGjVFqyZZ1g6lJNY68tw7N5yDWuKIVAGiwAiDO+NAESGib4XFSYuSlqbyCrrOGJyVOGtw1mCdL5voEBQS3BkhP6XUP7xT6Nv2P3WzlrCJSYy1ZFlKFLVRSgN59XzGsX9uS9bPy7Yy+i+lIo5jlJKkeU69Xg9UtZQbV7c5GYw4PjkBgoPrObaO1tqL+EmvIi0Li7JwZWuLQyuYzWb00wmq02JakzTXOzSXWgwGA3Z3d33tWufFBkuQO5vN6Pf7vP69N8mygsOTY6wBOZtwMujTH4+YpDPSIifLMuppyrvvfpd2u81f/OV/xxhDvVFDIMiLnKd7hzAZ8cqVDmk+g3RCIvGbahVpAIFGWU1kJMoUiMJhCsu0N2HYz2m3V6gtXSKqNajLhBbQmFriImUyPOFw7zESuP36m9y4ssVo2uXw6IgHDx4wnU5Z39jg2rXrLC3VOTk+YH9/n83XLtJsNhmNRuzv7/PkyROyLKPdbrOxsUGn08HkEVl2RKvVIoqisElrLl++wq1Xb7C01CDLnqdD8m37rTe3aMTO08HmIKYUmy0hRPm3QFuvYunlJxa/L8poQBVhn2MjMX+vejgFcwDnQm66rYC+/5Ty5YaR4e8OLURQ/zdYm6GjGLSq1P2szTEuw9iCKPaVKryqvDeuPV/OEQlHve5tlFgJVpcVq2sSFbWwpk5RBGFOp8mLiLYqmKYWYwVpYfxPnjOZ5T7iHcC6dAolfD3pLM8w1iClRkU1rz8U2IkGiXEO5xTO6RAZXxwfPy6SIJZnRTUGjpJAZ5EUCJehXEoUOeIkIZIFxoCRAhFHRFp756A0nmMgFu6pCFWZhFfiN8ILfwqpIJLkWJSDwqmQwS+Q1kc4nRPBt+NBw1yR/fQCXDJFFuHp2Rei+mTZv/KPC2VnKu2Hrwe0ZVT/mdLGpzt2zpifd6wFksELD/Z17eX6/uLjh2MsCkx478g3PO4/hyaqEuJOJjhhyJyDCPI8Iw3FsRIt0VLiitT7ulTEmYkYDre4Jjq/dpWTtlyPhEIISxxrRqMh0+mUd99/j8ePDznp9gPVPzB1fL5MpftlgwPKWs90xObUdEQ2y3jvu+/RezBmPBnRm+XIJGLj4gZJUqPVbjOdzTg+6XLj5k2Oj4+r1dlI6A2H7B8e8cH7P8QYx2gypXAwyzKePN3n4OiQwXjMLMsprEVFmq3tS7RaLf7sz39KbiwNHVNvtrBOsndwSJpNeWVjFedydJERG4dxOjzmC/oc1eptkc4w7g/onhyRFzlFnrHVaqKVd3Yq6VCqQLgJ+azLdDRGWcH33/sezbZmmo7o9vrs7u4wGAy48cpVXn31JkVRsLe7z0l3wLVXbhElNchyHj56zP7TXRIdoaTih9//PmvrFxgOh0xGYw4PDmm3l9l5skOtVuPVW69y48YrtJfbFPnzRaT+GQP9Z8uaGZvhHESRB85aK9blCC1MlaOZ2oy8yOk0O3RWlqjVEiIpiVzBbOapfbW6plaLkNohpUXKHJkVngJjQQuox4IIhVOaKIHldh1kcChMYTqzjEYTppOMLCvI8xxjPO2uUdcMCoFxEh1FNBoN6vUaWmtGwxG9vmE2nZI6Q0aEkN6zNKd5eSEHV1issUHEZr5pOWHBFkhlSSJFsxHRTBRRMQ6eeocTOc3EoXVEFEmE8FR+I82z4nu2jGBYrLNEElr1GGMEJoeicKEGaNAtcALrJFI6zgaQzxVp/Bb4f9t+i82GahlSCIwpSNOMRiNG6xnOpIHunZMkktlMVIyWlwX7SuugcSF93VbpVfwnkwkIwbXr13BFxicff8JgMECpmOI5x0+SBGMMk8mEKIoQRUrSiNjorJLPMh7cv8/u7lPGJoV2g6F2XFtfxljLZ1/cwTlHp9Ph0aNHFEVBo9Gocs+3Ll8iqdf59PNfMZqMaTaXuffwIXt7h5z0ukyzFCug3mywtXWRV155hQcP7vPXf/W31BsRkY64ceMG4/GEwckJl1pLNFc6HE4MEQKjfKTCRwI04CueSJOgjUIbi7CCyGpG3Ql5pohrm6SmSVZYaoH1aWZjikmXcfeAYjri1s03ubh1iTRPmYzHPN3d5Re/+AXWGjY3Nun2urS04bMPP2RtpUWj2cBay3A45OTkhNlsxrVr17h06RLdbpeTkxOSeIUnT56wt7fHtWuXqdfrfO9777CxuUqSaLIs/xbo/2O0Clmd9xM+EsSaFncND8XnRu/XwCEqWn5Fvz57XlW944HTPF49/9Q8T1+6QOMPh5RAu1GjHgmKdMLUpKy0m9RXW1jhSCcT8jQnm40xxYT15RXazQZKCm+YE6L6wgEFDoMQBbWaZvuiz/O0zmGlQznQDoQzqNixdiHGZI48s+RWkTtHXsRMs4I0M0ymU9I0xYuFehNxlI/ITUaz1qazvowNJYNnxjJKM6azjFkRk5oaeaACm4VBFgHkqjDyZXlEV7L6hCNyBuEytLQ0ajFSC5RzGCGwVtDQMc5JlBAIJUBLnPMUBBtSH0olfYfyEsnB5nLOB0kVXtBPhEhmISXOSZ/nHHJjbaXYfj7gNEJ4pXJcKKUKZQqHCNF+UzE9XgBaKwXDF07G33ArwfXXfebFzAPxEk6FhbM9592yH2X0+YVf+o22cysP/H2O9fe2UcsVI6wXCJARFkFa5CSRIyMjs8o7rGJFTdTpFwOciBAqRNcrpkTZ3DOvhQjgHokQGikVxmWsrCwzmYx55ztv8/DRQz755B6FcfNntOpnOFLJ8LHQ7Z6w3O4gXMZs4lhtX2A6Tfny3j0G4z5j5Sj290lqMVeuXmU4HvHo8SOQgs2NTQ6OjsnS1LvsoiFZYbh1+zY6Trh/9y6j8YTJLKM/GjMYjekPR/QHI2ItqdUbrF/Y5NLly9z98kt+8rc/I6nViaKElc4aB/snWGHorK2hlSSdZgidoYocrWIv1irDXKy0B1y1hrZXWjx69CWFKVBxwsUrVxkNxkgEWjuEs0zHXXqHO8ymEy6vr7Ky3MTJnPFowsHePp988jErK0tcuLiBKQoO9rt0u12k1KytrTKdTJnNUobDEUVWsL6ywvUrr2OMYTQc0h8MOD4+xlif0rm01ObmzVusr69TbzRJ05x+r8e158yuFwL9fxx49euddZ4Fdo6knjv9SxRFxHFMs9mg1Yqp1wUbhUZhMcaSpjNms5Qiz1nfWGa10yKKBa6wqFwhllpQ5bbnSGWR0uGcweQFeV4AAqQCqZFSY5zf2jz9WBOJiFZd04oknXqTokhIZxmT6ZSiKEiShHa7hUkEufH5ZVJ4yq9SkpXaEqstzaA/4GicMUrLY8sqz99aUVHenbMEWVrfBF5d1tmgNKlIEkW9pkhmPifPWZAWhNZEkafzO+vIjS9D4c5Q0XXixays8VoBuYSipihyyPHGjbEe5AsLCJ9Lo6TjbKGFs9HSOfB/zrxYdA7/Rr3A3zoXfvPt7zOmv7374cpIjBBYY8nyzCuwKkVegDE+oh9FhOdrXqJq3quzsCL8JgS1JPGgXApsYZjNZshajeWlZdbX1jD5iKePH1Or16jXagyGM3S9gRIaV5xlJTl6vR4PHz6kVquxVIvo3HiVzvIKX3z0CU8eP6bRqDMczBhNxgwODM0La+w195nNZnzve9/j6dOnHB0dYa3l8ePHVXm5JEl48Oghd7/6kv29IzY2DI+fPKF70qc/HFFYQxwlbF28yNWrV0nTjL/6q7+mKGYsLV3A2Jx33nmH+/e/JM1S1m9cQiUJ2diRRDVyB1Z5Y9gKjSQKa5NGOomyEmEk496Io/0uSjZYW7+C1HWEnKKFIFIO6QqGvRMmwx63XrnB1vY2aV4w7vf44s6nfHHnAZPplKWlNssryyy1WnzyyScoKbh58yYyTnjw4AEPHjxga2uLd999t6piUKvV6Ha7HOw95uOPP6bX6/FHf/QHfP/977GysoSQhlk6YTweMptNf1tT8tv2wvaCdf5UoNEtvBWo5YvP5vwjzznIeec6J2r2TCtz1R1SgBTC12m2olLY1YB2Bo1Fa0Ork7CymlDreKG7rKEoJoJ8CraACyuC5YbwgnQilOyTIqQlKF+yVwqUVmTpACGkd6oXDpMbX+s67K3SOWRmiKwArUFqXE1SGE2awTTWpKkGRKVE7dZWEUJ6wSwtQPn63WkB01QxTRTdVPGgV4Q0QZCBQSgCUHAuaACEManuhxSgLBGCSIKSFkFBJCOfA2x9zr2jpNb6qL0QXp8IPG29umPCpxUI/HhrAZHD2x1BGNizDwRYiXUy9AVvF50yN047hmxImSj9ADaIoZ0Ve1ychm7esfm7YmEeVWH2Z+e1j+Iv0tmf115mXorKGfF1++nLaAKczq1/0SmDsKU4c97wAM7V+xeOVo3Jr9/Eqef3nL8u+AWFeNFn4euuryyr93LppOc7UERI1RHi9D30elyCzOTENQmiQABZYRAiph5ptPNoxJfZC/KZC/mwp/UkQupQqb0h/bokwiQVIejQH/R4/Ogxnc46Wb7/jMNKVOmogl6v59mOUYyzhkha3rx1k/W1Te58+Cs+/PTjQENyWGfp9nq0lpYYDgYcHh7yox/9iL29PT759BNaS0sgBMPJmKvXrtFcbvPF3TvcvfsVh8cn5IVlMB7T6/cZjcdoranVYtpLTS5cuECtVuPv/vZvsMaw0l5nmgn+9R//Gx49vs/+4R6bG5tk6Yw81RR6gDUjtKqHHH0oBVitC04/67CmoDAploLuoMd3P/iA6SxFSoWSAq0ttnAMBj363ROuXbrA1a0LTEZDRtM+jx495qNffcZwOGCp3WFtdZU0TTnY26c3GPDD3/99HI7d3Sfs7O3Rbi/z+muv02rUvXaKcxwc7HNweMgvf/Er9vf2+PGPf8x7730/qPMXTKcTppMpvV7vuTPvhUC/eIl03b+P+a2UOvXaq6t+fQ2rhkhxQpHJmELEGCcxRUZdOeoiJ3IpUQ7JTKOUQ2pPr2h3arSWFPV6Rr1ZkCQKPc1CfXiBEAnOxhhrqNc1UZR6ar0r0IkiSRKE8PUtiyJEtq1fOJWIsCrxi2gAsgRKS4TPibdZjpQZkYqII7xMP5AlBe0GgEZr4SOJtQKDxRSequOcJI5qFIUjsQX1tibCkE6GaAVRJJCxQMYRhVWMJpapkxQkjCK/6UvnjYvIFTQ0NGPLisxoZwMSNEroat9JohoQFk3r/410jJRjwAQ3tgLnN3/ngmGBz7VrFhmFgdxKMifIpRfpKzQQRHLqxYAGWeWoEEKQFfmpWeWQGF07df/LjdOLK3oRtVzVsOrXJ6icKxQpgsPm121CVGKJ8/egjP78T91Cesk3S6v/hvfjJZtsGAwa4W4g3CXSvM/Y7VNbG9J/MsZl15DjFS6zhzNDMr3EyCa42hKpk0hn/Q8Ffkk93VdjLUVhIMsQsxlSpmTZjJXONQozpXu0z9Wr1xhMcrLUEkfLzGZ+HZDCeKocDqUgy3Im0x69gePkwQnbq01WP9hkdHKH4eQxN797jb6YsPPzX3HUHyNTR39vyj1OuHxhm/2x5cN7T/nwi0eMRiMQgq1hwX988/uMTcyTx4/odnPGEzi++4QnO0ekeYFTMZkpWFrfZGtZke19zt3jx/R7PS5eeZXUCd77/nfR0TrZ5AE11+JS0mbW6/H0/g4jk3K944iSZSiEX5+dYBq1SGWNjAG6eEpkjhnPphwdG5a3XiHu1HHNGWvSEmdHaAocB6T5lGbrOpsXLjBJe5z0P+F4b8TjR0fUZMLbN64xnM1YjixPHtzhyf5Trl2/yqS2xGD3iNFoxq1bb3Dx4kWcdeAi0jQlSx3jUcav7t7jYX/AH/7xj3n3/bdZbgny6RGpNUyt4HCUcv/JPs+pZvNt+wdtJelzMWIv5jXVS2AjYE67P88xd/q9ubZ/uT8EYFMBE4vPBBTeg+0WRcZAOUcU6PlSeGSoY4WSkkQJllp9mrUxzThmeamFYEJSMwgpEZGEVgtHAjInihRKSH+cyuD2PbROYKzAOONZhc74SHcA0zI4HLQMVHwnMJEL4MsDbSklkQIdSZJEYYzfc6WUSCURUlXUcVNGvJwhiRz1RFCYiNpYMe2lCBX7PV1JklpBZkccjw1jV8e4CGFlNdTePy8Q0qKE9Y48VYTIugWhUFJ5le9wT32ZPOWvcUFnzIMaRXlZ1QmcQMogtWg9LVcKD2wU+DFy3qSpovMLDMgy1lrOhsLZAHaCS8c5X2VJ4B0v1kdkyz7POyMXpmh5/HkViDO/VOKHc72lRSR8pr1EUPpU0PxFIB6oyhV+zb7rA0ov+nvplDl7BkWI+lRguXQKnPrYub177tnmnzhVZersZ+bOBbmYNvD8Q77wnGX/5fNy7U61c/4ernuu3QG4kPqKD7BZIVhfX2G6MyKf1egeWmoNSSyFF55E4qp0pVJDQlSpyoIy9cM/C1IKP6+EoxTzXltfReDY3dnhjdff5Rc/v+9z2Mv0mIWHSgSnjdaS0XDEZHDMgzsfs7G2zJ/88bvs7uzR74149/3vk+sGf/XRr3C5oD8YsjIas394xOr6BifdPp99cYejky47ewdYHKtrG7z/oz+gN5xw//ETDk9O2N3fJ88LRpMpvf6Aosio1xKWlpqsrK7gcHz22WfsHxyxsrKCQ/LOW6+z1lnj7uefUo8SNtcuMp1OybI+ee0Y65ZxIthsLsEWeCegdThjKqfscNxn7/ApyyttllpLVdqCkKHyiTNoKVntdNhYXcMaw/HxMaPxgAf3H1Kv1bl18ybD4RiBpd/r8vTpUy5sXwLn2H3ymOl4ys3rN2i3l6nXaijpzzGephjjePj4MUcnJ/y7f/cfeO/d75NEMXmWM51O6PV6CCF49PDhc2fdiyP6vz3bumqn1dTdM9HiZ5tDChNyQzwqrTR5bA7MUC5FFZbIJLQaNZZXmrTamnpDEMUGpQt07EVuhLJIvIerBJtCRESRL/Ugkb5shFJI6UKOrjmn7wKpovmghf1ehmUzFLABa0LNy3mTwhJpqhJ2Qvh8dzAI6anuzoESvs6vEo5ICZYaCVtrDYQ0oHOcNljlSHNLJn25KhGoa+AnjrQSjSTRikRbYmnRWKS1oE5fz3n3qio7FDyulce5zP1x/kqjkNPjpMQohQliR4HAjxPSZ/e5IqQd+AoHKjp9XoegOKtsbssqA6HmaFlK5xugyHPTAoKn+ddtQnCOht8/wEP0T6U9s+H/Ou23FNEXgLQ4p8HUkCLC2il5MUTHFpTDuYgiUzSjjJoqMBRAVJn0VnhD8Hn0vbOX7JX7YTqbMJ6MuLy9zWw45v79B4xGY4oowsnSuXXakIoiRb1RI4oUaTpFUKeeSA4Odrh56xprl67x4Z0vGY5HTIzAyjGWu1ze2GRpZZX9w2O+uv+QJ0/3GY1G1Go1Ll66jFARj3b2uHv3Ad3ugN2nB4xGYwyCNM1QOmb78mWEFBw83eH25U1WL19iQszEJWQWbt5+k7X1LU66Q25sdUhUwsloSDYdYYsxRdZH6whpY4RTYBXGSgoEkbTI2CCCboBxklqjDVp5+rF1YHIEGciMRrNOTIf+YEpuxzx6cp9Pf3mfi2uv8IMP3uFXH3/Eo5//lOnWBR7PRrTaba7fvMnMeCN9fX2D1dVV6jWfa9/vDxiPx6HKwoyHT56wemGDd99/z1OIFQy6A3IhebB/zIef3+NwMPmNT8dv2zdvJYNWiECBLbdiMd+DSxgz5//N4fyZo4X/u2cXLUc4BlRc/OrZ9w4FiTf8FZaoXPdEQaItG2vLNGJJqzmjWcupqQglclxhiXBooqrKjlMSpyKcXggzV//YudGJT8/zDLhyC3PVniiFQEqFREPIybW2vAZCRA8P+pGg5pFKKSVI7UX5HF5vxwHG22ta+FLDrcRxadlrDAglUQqkKBjOZowomJFgynEL9pAQXpIgpNGjI4dWDlzu6f1C4IXJROXO8Re3aEWJxZs/dx6EsZEhxaF0eMwlhsJ9C0GQsjpDpR9yJvgsgjNJEpgU4W8mTBFfjSCUO7Oy9GI8M6d8X8vfnx9dnwd4SxbAmcMttip14MUbbDXrv2YjPl1K8nmn/HrHvTgFfs9+WIZbV13oS0bFX9irBfcM5wB9//zL6la8wHniP/C1QMhHxl+m7wv9OvVWxf045VDyzjQohMUIQRxLlHDkmQ8ptKTX5cgEGCEB5XW+zlRWcEEsVJTaHtIFnBHOgwf7Wmv2D/a5fOUyR8dTdp4c4kH96fu8yF5QSiGdY3WlzeBozwtq1hIO959yafsKW2uX+f/97S84PjlGxwmRjjk+PqHT6fDKKze5/+ABd7+6x+MnO4EdI1laWeWk12PQG7B3cMDhyQn7B/te48x69jV4ooDWEmMK9vb2ePP11+kPBkRRxGgy5Yc/eJ9ICQ4P97l6eYO6bjFKR+TZDGN6WNvHWR1sLRWqcFicwZfo8Ori5MWU1EyJknWk8qKp5TovRLkeGhq1BkJIDvb32N3Z5f6DL4lqCddvXefocMDT3V/S73f54k5Ge2WZ69euIXDU4piiKNhcW/flA4uC3Pg1tt8fMhxN+OrL+2xeuMgf/dEfEccx1lp63S4nJ8f0en36/T5ffPHFc2fdP8kc/cU6qAQ/lhQOEQzBWBnarYiVOGGpXWelU2epLdARwTFgcPibo7SmVMFWytdi1FrPPX4LEdpSOM8YU1HlT/XLKV+LNgDRUi379GfcMyXkZMjZLY8ppaSQBr8Rgc8bCSX5hH+4okjQVIqo0aJwObmbUbiU1BqMsWgJWvlFKnIew0fCEWtFTUTUtaOmQUf21EP/9WMvcBWdzHsRPTUvlOwQ+JwXEXvnixAgFRYZ6l9aCmcw1hIJiZAaUaYdSInWzwJ9J05HxJ/nhPi2fdt+/eZALEhNO4FziiyzJM2IJI4gt0xnOcuxII5jhql/Zgprz/PsPNOklJ7psZBeoyKNlJLl5WXyPOVXv/oV/X7f58sZE4DKmWfBOUajEc45arUaa2trXLh4gfF4zObGBpeuXePJQZfd3V3SNMXJhFq9hocrc8r//v6+j15nWSU+urOzw0cffsjBwT7WOU5OuoxGY9rLbWqRolaPiYMk9xtvvMa//L0PcLUV8uQe+8OUo96IzYuXaC612T845NrFDjPj6PYHxJGmWYvJJgO0ahArhZAxxvqKIabIkc5SizRZUdDt9xBSUWu2EDrGoDDGIm05nhDFgprUTKcDdvYecbB/zGuvvcEbt95Fak2/16Pb7TIcDrn52qvcuHmTTqfD7tOnrDTX6Kx0iKLIOxVCKdHhcMjR0RHT6RQdKa5tbXP12jb58IinTw/oHR9xf3eP+7vH1FY2+P73f/Abnovftm/e5kDbVf/3rTL8S4D89/IZurkNvQgYsSB8apsHrxItIZuNiZSmUYuIVEEkZ1y+uEJNQxI3fJkmwOYG4wy6rG/NHDzOOc2iKglXlsOyIZJdXauYQz3hnnVku4UxOnMR8+9LgQrH9DTfUH5QlCBJYgPV2Fthwgt3aktnIw71sj1oKXJLVMQ06zGDqXc4YAPw9ksiSjm0hkRBPZZEwlsWyiN1nPDpi04ITIAxxoXAie+lv9byHgd6vwsOmUC7CJFLqtJ6zvponHVlzr13CqhSpHzhVlfjA+DE6cp8/uDz0RQOK5xHItZzHKsjlVGp8+yV8iMLL0vNgW8eMDj9HIjyeN8Qk57+86/Tp+c702A+HN8MLLtnXi7S1U9/fO54qEQOz3Pmnfr4S/RJLB7zm7Sy9oOsgp0Or77hjGWWOpYbjkYkMLOUrPAByUYtYpZLCufnVBlpP+2cCNT08F/JZvGPtAf9UkmybMZqZwVrxjx++IhetwdOllb+6fstyteCIvd7Z7PZZHt7i9FwwM2bt9laW+HhV49IM8NgmJHUDZe2VsnynNZSm53dXZ7u73F4dMRJr+9jhUJgBNy9d4/ucZejkx6TaeoV9vMCIYUvL9xqEinP7lld7fDv/92fMBlNODw8QilNUmvx2u03vAbRZAIostQwm2QURUYSCybjE7Ru4oRCqAjhJNbKkIJswFmmkwlHvSPG6YjVWKGjBGOCiKi1qCLH2ZxGLSYmYTqd0B8M2N/f59KlK9x+4zW0TphMP6fb7zIcrfHmO2/y3vvvYazl8OiYtY1NXxLQGaTQ5EVBv9dnMp7S6w8ZjybUG3WuXLkctORyJpMxw9GQhw8fcnh4jDWO73znvefOrn/CQF/OHw0HAkNEQSuC9Vadi8sNVlsNdKSIE0ekDVIahMxxZDgKcBapa0ihTgF9EbwqZc3ssqxW+V4URc95oBUW90Kgf14uj14Q6yp/rPQpDN7DJ7FWBK+7RCkByIoC5/PYvKfZGl9uR0vQXoWPxBgcECtHTQsSqajrmESBjgxCv/wC5YQKYjWhBIgLnkQhsUKETdiRZoLCODLjSAtHZiy5lRTOUjjvBVdSomVclbJAetXzU+dzYKx5ph8lYKrG9BtvhN+2/+mbKPBlJ4P33kbkGeh2TJIYsrzwpVXaEMcJdlogVBDle4msjJL+6oG+r1uNkKytraG15sFXd7HW0mw26U9GoOtMCnFuxCTPc0ajEVmWMRwO4eoFNjY2uHrjJl8+3OG//flfcnBwiLWgk4hL25e4dPkaxhg+/fRTDg8PiaIIrTVaa2azlKOjIz799FN2n+4RRRotBHEcoRXYfMbSUot2M0ZkY958803+5e+9x2anw88/u09vNGaaOlrtFS5fvUbSbLF1+SrIiIPukF5/zMraGqvtBuNRnyRuQ70JUpE770W3+RRrp5gio9c95vi4C1JTby3jdIIRGlMUKE+dQGqLI2M6GzIZn9Dt9tnausrtG2/Rqi1zeHzEZDIljhM2Nzd57733aLbbjGYToihm6+IWcezpxYPBgKOjI46Pj3n69CnD4dDn/iURzVaN4bDH6Gif/Uf3OTrYh6jBu+++z/bNN3BR47czH79tX9Ms85r3JaXUG7inQb5bsPNPwcLqt69v84BCdUzC/gchGmd8P5ynuQohEMrnsUZa0WjWubCa0IzGRLpgpZmhhUAIg3TSV/1RksJ6an61mwkQUoWyei5QwT1gLQWjynJpp8rQurLnQSHe2WAvuYBevUifFyxcBIKngxuenuoj+iWALauBCISPHjhwViKkRWBQYoIzNthBnr0XxZIlVeMwzTxtXkmUKJChQo9SgkgaasoSRyHVwYFUGkQI6sgQYAiR5irwUVZWMuUVl9xJGZwhBAFgR2Et1ooA9kPE1AaKtHPeDiQ4WkQZjZ4PqAi/OmH97At+F19X3FJG1CWAtBjr5hFlt1gZ4jz3gXtmhv1a0/SZ9szRTh3ofHtv8bNn+3fOp93z//biVj5P7szrX7edd43wbBT/d78t2q+eteJnsC/AqZhkBetY2jGMRMY0d+Q2oRlpRqkgdV4k8tn5VT7L8zNRzW0/TlJCoiMajTpRrPn4iy9Yaq2yuXGBR08eo6TXBzs7zA6Bs4I8N+zs7KFcxqu3rrK5scrSUoune/v81d/8DV8+uMPSSoKKa6gk4dWbN8mt4/7DRxwcHCCkIqnXGU0nGByHR8fUal6l3hSWqF4PwUU/OnGiWO0sMRkNuXH9Cr/3e79Ho17j88++AARF4YiihEaziXWCRmOJwljGoymj4ZhGK6FZT+gPh7RaGcgEMDjn9c2sE+AM0uWMB0O+evgVw3zC5fYyUVQnNb7KiCyAdEZkCpIkIh+nPNy9z6h7xK1Xb3H52jUcgvF0xlf37iGUYGt7m+3tS2RFRmE8Y7tWTxBCYaxjMpkxGo0ZjyccH3V5+PAJ9XqdJKrhnMQUjl7/mP39XfqjPlJKbt2+zZXtG9TrrefOr380oP/NPV8hT6sEeRAKvOQkomA5kVxcrrPZSajXvFieUl4d35gUa3KEMj4HQjiffybmIFsIgTEmlNQqPcGuiuSDF/UDXzbr1HW4uTrlYu73KUAqRKVNcIr+sgDypZTIIDRTfkcKn9fuv+fBvnWCYpZjRYYTGUIU6EAVjKQjkn6Xi8kARSIENelLcySRQ0vtKYLC1+49uz6eR2v3arva8yhcUNFG4YKn3Qof6ZzmjsJAVuBrf4ZSg4WzFDjvFJASGwwJG8Y+Dw6SxVaY4tRrKSVa60oUzS2KDX7bfkfbN93Mf9tNgMg92A+1sZ3VmEIhhCaKNZkoyAvveIuiCFweUljOEQBl7i+Yvw7OPSFPrRdLS0s8evQIKSXvvfceO//pv5CmGfVWjTx14NJzji1CFQBHs9nkypUrtNttdnd3+fjjj7HW8uabbzBzGqMSXrnxCq+9+Ta9432++PQTsiyj0Wh4elhekGWGw8NDX7IvidFxQjZLqdVqTEYSZwqUyRC54uYr1/m3f/gB6+0l7j14xCef32HoakxyST3R6HqL8TTn4uWr9E/22GfMNC+4sLxMu54wPOpDNkEkPvWqwIvNiGKGKSZk2YTuyQmD4RAn60T1JlbGFERYY3A2BeXwQqg53cEBB3uPWOl0ePutt1lurjMb5dy7d59f/vIjLly+wHe++x2Wl5cZTsYopdja2gJBULyV7O3t8fjxY9I0ZTKZ8M477zCdTvnVva8oigkHh7s8vX8XkU65cuUKl669SmN1m0kRMcu/dS7+g7dyGako8yXIP5vr/OzXyj89D848v50FFAFgCgK9vAR5pZK8P1kcK9qNJhdW22x2YKmWo2SMdlMvqldWW5MaJSVOWmQV7C1DnOGSA6jy0DmcwNkqQLkI8gULlWuCQ8C6wBAUDoHy5fAWRmduTQWfexDtEtI7G21wClhjA2vPVT8uRLCdtOE+FD7PVYRyelKinKWuvJ0mpC8LKIUNglYOrQyxtCgETiqcjTBEBJ18cP6c1Va/KBBWiSz6aypCEL+wnkVYWG9EWyN8qpApAydUjP9Fm9Ke2qv8ecp761MI5k4jr+3nKu0EIYJ4v3WIkoLkzKn7Wfbb3yN7+izi9JkXZsIzvz+/udM/z+T4L3oQFj+7eNby77/JNa48tn22X6f6s/jer3Oscs6f50j53W6Vz6Rc0qpp7RmGyhhcNqPucmba750zW9CIcmrKMhIxiLJSyHwcS36QCNF+KRXCmSolR4QchiiKuHz5Mnt7e7SXlljtXOanf/vQa3ooQaQk1gRdLAjpCj7QJ0RMo6aIdUKzmbCy3KR7csi9O1/SGw157c03mN25i07qXL9xkw9++AFPHj3ipNdjPJ0GKrzHEgI4ODwmrrWoxbFnzhiP06SWYHMkBiUst199hR/+4PssLTU52D/g/v37RLrGeJajnaTebDKeTUnqdQrrq6oVeUGj3sHkBc5mFPkEHdf9+uIURbDrEBZFAW7K0eAYUU9YXlvHCY1zMdY6hEuR1lLkU9LJCd2DHQ4O99lYafP62+8QxQknvT53vvyUv/npT9nevsRb33mH5dVVhuMxSmtWN9ZBEMqre3HDg4MjhsMxs2nK+99/n+OTYx4/eQJIsrxgf3+Pk36Xre1NNi9cZHPzCrV4mcPD/nPn1wuB/tloNPCscNlLtrPCe/As2F8EwS9qPlO99JBaFJZ6JOmoiMsbDbY7dRKdAQWR9mDWuoJIgRDeS1wublGchIk2v740nRvYJbV18RrsAhgtPelCCCaTGbYC46dTAHTIM7fWkud5da3lv6Xz4HnN4YW4/Bbjo4JaSpo1TW4KUmMwJkNLQSOOcMYrWM8cmCJDOEnsBDGgnUOJsn6tL3UHbq48+4KmdBwmJjjjPWBZZrDGzVV+nSR3CXlhSIuCNLeVWI0RDifLDdXn53oPwYLg0aLvxDmcOw30SyX+csyKokAW8vQe9ZLtZefc/6ztNzk2wn2zteO89hvtl8y9tLVLgqEcg4vIM8fSUotRNyWKNdY62sttdDcjxc+bs1ckZdiwwmYtUYEa7gX7fN8lubUsLbWpR4LNrU3ufvI5AMvLyxRS0KjXKIrMb0AL600ZiTfGsLGxwebGBsPhkIc7u2RZyrvvvsfOQZcvHuwwTC15kXP58hVi5R0D4FkBcRwTxxnGFIxGI0ajEatr6wipmcz6xHFMvZZg0wyKjPWlDv/7f/tHbLQiPvzwV+zs9yCq0aytMOyntFc3qDXbiKhGlDQ57A1pmpStSxfZ3Fwjmw7IRiewvAkmZ5jOQCVk+czTEccTbD5lPB4xGAyJVtssr20yzCwiAuk0aWowcc6of4gZHjGd9rl69TLXrt/wnvaZ4eHDh3z8ycfkec7Vq1e5vH25KkWIVqwsLzM4HnN0dMRoNOLhw4e0Wi1u3LjB8vIytVqNe/fu0WrVyc2ER4/vMR2c8P233+bmtVsc9KbgNLOpYZB+vXDst+231c6DQ+e63Xh2Y3hZw9+d+b2si+4j+KVGkHBlDN6/ts76XNNGne1OzJqe0WZKJIwX1Ks20BCdBpyUWHK00kF8zvfTWAfG543asFV64oBnMj5vRS3LC1rr0+T86WxF7fWCevMItJA+fijD2iWVoTKLXMG8NK7FOM/IK6wva2ccC+XtQkTdBRFhLEiJspaWzmmJnAyveyJk7JmUwqFFjnYOQYRzNTJrMHghOo9NJWWalHWlDTC/7V5130foS2p/4RS5URgjKCwY4zDG993iHRDSgZXiVGFEQUDbwlT33efke5tRBsdD+TGEHz8pPPPBkw4MztqQehHmjivnkaAsx1imF7jgxCmdCKew6jl2jXjB3+bAvZyvZ5+RRZdXcM6UdcTd4mfcmX//vm3R+bBQBq5yPpx37q85TnUNzzP+Xrb/X/f9895/0WHcsx9zZ9+YH6rSfAj58JKwPAg/j2WucLMZdZEziFqMXY1xMaVTm1CP+yh3CdioJk6FrQLbaV6ZSyBsEJILDEMlFcZknsGM5Mr2FX7xizvYoqCR1ClM5h2Tcn5cF575wWCMkgrrClZWW7z66nV6vSMe37/Hzu5Tvv/9H/D44Jhf3r1HYQVRUmNtY5NarcZX9+5Rr/vScFrHIPx+enTUQ8qYq1eu0mg06Z90uXBxk0HvmOk4I4kE7VaNf/Ov/gVLrRUeP9nl4OCIpdYKaWHJ8hkXtq8g4xgrJZuXtvjFz37CeHyR9dUlLl7cYjwZMBr2iGttOmsrCCkxLiJ3AqShFivIxpx0P0fUQSVtti7fIDcRTjYw1qCDBGKeTuge7ZGmE1bWOrz9ne+SCUl/MOS42+NXH39KVliu33qV66/eIk2nRLUaSRLTbDXp94f0ej1GwynHx11WVlZZW11neblDFCWkWUqr1SSdzXj86BHHvRNef/M2V65vIZVmmmb0T3rk5vk28QuB/nk5ot+kvWz0/qU+5zzIryQ3nENg0K6gJg0NZaiLDGkzrPLKt8LhJ3dpgPsv+sNZ5+vKV4df8HOf44h4tjvu1M/Zz551jJw3hucpv1sR6uA6F8T4BFornAtRR4fPOctnPtJlM4TLcEiEEyjnc/8iIagLgxCgkUROoJxF2DLPzlFIr7Eqz/ThPB2C1DkKW+lUYA0UxlcXsAH4GyvIrKYwno5ohcFgg3AemMAgKKyvYfuiJnCBzvj8MTs79r9O+za3/+vbb2SM/n6Jsee238y9c36DkQvOJKdxJsYUM6LYR5woDEVhUc4RxzFj477GdhDBAC3BeRCpEoIkqVFvazY21rmw1ODuxx/y4MGDwBpymMJQCF+Gz5pZdURrLd1ul1qtxnQ6pd1uc+HiRQ4OPiVLM37wgx8wzgX/3//63xmNRmxuX6e91CaOY9bX1rl8+TL37t1jPB5z8eJFut0u+/sH9PtjarUujWYLoxzGeifa6soy+bjHm7eu8i9//CNWG5o7H/6UDz/8iil16mvbzHLLNDPcfuMtcgujaYpKGvSGE6Z1TWt5lUhrugd7TLpHpMsXaCxdIUpqTEyMLWYoMpJIkg8nDHpdjLV02h3iWgvjYmapYMkotEzIix7d3iFFb4+VZsSNV65Sr7UYDFOy2YRHjx7x+PFjVjpLXLt2DWsNvW6Pzvqa70evR+94wOPHj8nznO3tbW7fvk0URQyHQ7rdLvfv32c46mHijCubbd754H22OmtEcUyrGdEdTun1DXFr9Tcw/75tv35bAC/CO/txpfP+vPjnr2Gon3sumIOJsxHE0tEvK5vCBEM6jiJqSlBXjgiDNASgL+dHLKN3ISHcL2k2OBB8rnoZzRdOUkrSeRr+Qi/D+noKV4TwdymAa8sUN+cWRO380bzAnAj9EDjpAq4Oue7GhpQBiyfpixIiBk2eMuZtgjNCVH8DEMKSaFulI1k8E0JIL5KnnQ1K9bGPmJHjyKtIulclL6Ppc9Dtow4ilO8VFHhQb52jcEUA+hpjy1KpjsJXua8cB1RMiWBXhjGr7r+w8/1LlKPvKOn4QoBPnAzSy34Ig+1UfreMppcBIhOmj/OaAcFJ9AzIX3gt3K8Ducs5aiv+wVyMEqpKFBXoDqwDsRgw+U2C/MV+lTOn7GPprSmDd18H8s87Vvm3RWB+3prA/HxnnuOXb+LUb88fnfPXnWewfzU9TCUIWV2RACe0d26lMxLhUFpSFJKssGhtiVWGynMUBok6059QSk/ISotLSolWEY7IC2BrxcbmRZrNFpsX1/jw05+w83jXi3sKgZJRqKzla8bnec54MsVZ6cthBwHxpaUaW5fW2dvfxTn4N//63zKeZPy3v/4ZOqpRX2pjhcIJD/ivXbvOvfv3mE2nLC+vMJplZAYgx1FW1MJHz4XX8kgSxa2bV/jRDz9gqVVn7+lj/uov/xqLZnVtE6VjMit4+zvv0u6sMRoNsEqTW88MTmo1lJDkaYazBdbOMM47OXInKYRfc7M8pXe4x97RHoPUcO3GdU5GKfW2wMlwP5wEY8imI0w6ZqmVcPO1W8Sx1ykZjIY8PTigOxywfuECGxcvMBiP6PVOaDbqJLUYh6Pb73HS7TKbpCileOONN4h0zGQ6o3vc5+7duzx+/ITNC5sorfnDH/8htaZGab8SWQGpExQ8P1j8Ty9HX5RLVwD6OKSzKGGoaWhqSESBswWFjZDO57I7O1edXHw0jWLuzeTlnRkldbcU1/NRN3Xq2OcB0OcB/bPvW2e9UIwBa0QAxJ6mbk04Z+EopgZLhhWewUBwCuAcWsZYJVEaBGFTDZu/NfMNwAVEos5ha5ztV2YhcwTRQYE1Phe/BPnWQGEhLWTwqvv7ZYXxIF8GoRp8hOC5IYlynJlXkV3s02LahBcv+xawf9u+aTNAMbcRHDiryDJDPRFEsUSYgjTNiaylVq/jhi/HTnDOMUtn5HlBIhW1Wo0kNqhazNLSEp9++hH94yM6nQ7H/R2MtRhrsBjPWnCSLMuqn9FohLVeIXd9fR1jDJPJhOs3brDS6fDX/+XPuXv3LlLVsM4ynozJsoxmq8mNGzcoiqI6hlKKTmcFpQZYa5nNUkTNUwCLoiCSguXOMm+/fpvNzhK//MlfcHJ0wGu33+HB0YyZ8CJA41nKzVdfJzcwzQrqzRaTNCenRtLwnujByRHkU4qpV70VNU2We+AiTEqs4Ljfpdc9QWtNZ30DEcWYXDHNHHUriZCkacp0NqJVk1y7fpGlpSaD/pTp1HK0f0Sv10MrxaVLl9BKcXR0RG80ZHmtgzWGk5MuJwd9Op0O7XabjY0NarUag8GAPM85Ojri7t275C7l1qtv8cEP3+fiSptZd8hkMkHrZS8eSISSyW9zUn7bntdOo9nw3vMikguA7VRkcxFUnD3o2bZwjCoq50GcxFd9ESFXvJSt0koRaa+KnSgRSts5VFCQ90fxom4i0OuE9VEy4VX0KrDsyj09qMaXbEYbVP2ruKwNtFpbBh7sAmD1Y1J2v4wgen2juT3lHBhng31Q/s2BMzjn886NE/7H4nNnpUBJRVEUTGezEM0XAQgQ8uAdSnoWgEAiAktP4KsFSOPfd9aPiQkYTsgA9CsNAhFSEcIY4W0ja6EI7ILCQeEkhRUURvo+W0PhFIXzbIbyftsySFMFfLy3xVWgvEyPCPPHeidAlY7p/P0OJc9Df8pBDgrqzw2YiXlJP6q3qn9L7fSqK4vT1T37lWdbyQ8obb2yPGT5rdMAt3ol/Ew5ncp5nl38EvW3Tx95/vvZPNHyIoVdGJDnOegW+34WqAcHmAsOwGccf+G+lQ5CeLYvz+37/IlYdCaUzrMqiH5ev1z47Gn/XCW8Z52FUoAbWc0/n/oSo1yEyDK0FkgseWEwkXfMSXzwTgJiYTL5+vDPjo/Dg/fJzJJag7A548mYVrvFg0f3GI9ndFZW6R13KXLDLJ0RRRGFsRjnmM1m9AcjnJWMR2OwGbme0lm9iTEZjXqT977zHsIqfv7Lv+DzL+6g6k0I7FmlIlRNcvnqNabTKZPxhNF4ympnlcFoQhxpFBJTGGbjFAGMBn1iDZ1Wm3fefJ31tWXufPoRX331gFdv3WQ4KegPJ9SaTayFV269Tl4IEBGdtQuePVxYakmdLM2ZjEcU2RQlDHk2QbiMQlqMDFomJmNvf5en+8cQ11m5cAmrE7r9EUmzGcqZOoq8IJ9O2Npco7EkaNQjJtMJ/f6Qk/6AT+/cYZJmtFZWsEKws7vDeDJi+9IW09mM0XjM4eERxlhu3XqVRqOJFII0Ten1euzs7nDnzuckScxbb7/JW2+9Qb1Zo2BKmk/ILczyGqNUkhf/nIA+cNaPJrBIZ0iUoBZJIgyFtQinEFYjpPIPopvXggWCQZ+fKun360aGrbVV/r5APhNlfJlUh/OU+H1Ev/Ro+Yh5kRdYI8hzS1FYbG4hdziZ42QG0oRIv/f+S7won9KlNzh4gEJdumoL8C7pZ/paOjAWW6YjciEwJoB9IylyV4F+YxzGCtJQ+tzg8/C9Kr9XEy/z0Aq3WOrm/CbhGT9V6Rgp++YNHPeiHe/b9m17fhMFpz1O3kjNM+Pz02KFmeVkWYa1hlqtDsMxz/JMzjm08CqxSRITFRptFA5Ds9mslN6vXr3KV5/d4dGjR/TGljxaoSBhNNojz8bkeU6e5xhjaLfblY5IrVZDK8Xt27dZ27zIh5/d4Wc/+5kX20vqFHmBVl60rCgMURSxvr7OxsYGR0dHRFFErVYjjmO01qyurdKdFERxjLIx7VrCm9e32Vzr8OXnnxIr+I9/+q85Mh0edj/BWEFhHddfuUlndc0bJUrRaLWJ4hoiqpHllsODQ9LJiPVOh0g6puMxqpaTFoZ2rCEtKLKUk6NDxuMxzeYSKyurpLklt2ClJpsVKGGw2Yx6PWZ79QKd1TYn3RMO9sZ0uzk//clf0+8dMpvNWIsiELC3t4+KI5yD4WjEeDKhs9ph+9I29XodKSVHR0fMZjPyPOfBgwfs7u7ywZ/8Pr//Bx/QiCOODg9YTpr0xyOOegOeHKR0LrxKrdb8bc3Ib9s3bucB9zPG7iJgekETZ74rFt71wKss4m6qcKvfSgOwl4JYQaR8ml2Z+17W9vIic1Cpv0mvBG9MmUYnsFb6Pd1ChRLKAGgF0E+zCk+l4FXdF9WPp7YvDEcABAKBsdanWC3k/3tc5h0HJoBpY523TbAYW2BtQWG87odPPZeB3uuDClgP9EvKrxMSh7dDgh8Bh8MUFh8os17gb0GIVwiNlApnLUUoP+XBtcUUzkft8A6Iwvl8fG+Q23DNc3vKhZQAa/3fnC3Hdn7X54NXRuVd9X6pz1KK/xG+WkoHLM6Yr51n5RdL5mK4VZWlugjyBafA4ulZvviuWPhv8UDlJ111SFd2nrnfTJaTefFrz3T8BX879/OnAXPVF7H4uvzcc8bOhf+dPdaCDX/maOF787GZMxs8sHbhpp1fzYlqBMs0C4JzrPSZ+Gmz8N3KMcR8QAk1qpw8c70FThYIYbFlqohYdA4JkF4k0ma+vK6S3rGF8/uvUr6CDyawl8U8J9+XAnbz44ZjShnRbC6zkcSoXGJIyYuCg4MjXn/9bf7Hn/+Uvb09ZllBOvNAfzydkQf9sjTLcVZSi2v+PDZHa3DOsrG+zmyWcu/uA/727/4OYwzKOZ++KCX1eoPu8SFJknD12jUGgwGOI2qNFjKKmEymNOp11lfXOTw4QSCoxRGddoPXXr3K5uYqn33yEbYw/J//T/9HHu4c8dFn99FRztHxEe2VVVrtDrPMev2AehuET72sJQ2OjrvkacFSo4EzGXk2BVKKyIZ1sQBbME0zJplFtVqouIHUEZNhitMpQkbkpkAXBTjD8lKLWtMxGQ056fXZ2XnKz375EftHfZ8y6SDPcvb29mkvt6jXauR5znQyY2Wlw8bGJlppIqXJ8ozRaMJoNGY4HNDtdvn+++9z/fp1arWELE+xIqfIMvaPjtk5LFi98BZR/fn2yAuBfkW7Wtgk5cLr0id2FsqWm0a5EPhF8et9CotL7Is/VT16CAqk8wa5k5JCajIt/Q2TCitCSRcZ6O5lNtYCuD0L9F8G7JdA0xgz/44MnmBHtXiYZ45VLioSnKfR5LaY5/mFhcVIvyFa54/hnMM4S2EtWVGQZQXOgHZxiOBrSiVan58P0hmUEDjtKWmeJeBHoHJ4OB9JkDjOplAbYymK0w6IzCmMkMH54A2RzIC1ypemcB7cV2I/gY7mr89T26Sl2mi/jtLtRKkmemYEnav0EEo/6NfSA37T7SU2uSrJRPhX5dNjFxb74MP9DXbsNzkOIZo0f8lZw9kJixVllmNZv3ixIEv4t1KIXjhcZWC4ytg5GwE5v5X50YKSQilDUun8+A6EmW/QZV+q/S5k1roYhwJpcVqggsGXFwIKaMWCEZapqVO3Dp1kSDXy0TkaUG7ewmDVDCsUwkUIJ5BWVgb2oycPEdNdFBlv1d7kZP+QG9duYrMZv/rkDke9EYOJpdBgRYxwBbGKSOI6QimElFiTs9JuMOqfEDNlfSlmY3mdL798wP/4H3/DSW+CiBqgazSaLW5cv8bGapu93R16vR55ntNut8lz77jIcz+Oly5d4sLWNr37O9SkQkdwabXJ5a1NbJFx4/p1vvP2G4wGfT7+qztkTqKTOsdPj7h97SYy8toaUkia9TaNWhtnUtLpjGmvhxSa1ZV1JlYxm02I0xECiVIFUDCZjRhMxhQI4riObiwxTC1FJDFCMJMCjKOOZHm5Q2epYDoc0T/usvPkgN2nAy5c2ua1t17j57/8OcPZiJP+MYUo2NzawhQF08mMVqPN1UtX0VozHo+R0jMmxuMx0+mUk5MTtre3+e7b79ButBDZDC0lB4cHPH16wqd399jrOX6wcZXV1rcR/X/I9tx9udx0nzHx3cK/JVUYH4Ut86afC8YcoqLrl+D5nHP4TY5F1ft5ZG8Otzyxe+E7gkB3B0KE2oPgEIWtgKQXaXKBhmzD950LDnPh5lHpAM4X9YOevao5GD17+eXy64FvCWtLu8QHSrwgXgDnAcjPZhl5HuygMBbelrCVur0/thcdFlZQwliHtxl8dN4hjEUVhQf67nSOud9XFNYpX5rTecE7h6UwlqIC+D7aZpzF2Hk829pQjjDMmVNyhOF+lHfOlWh9vnmfGqy50yekE5SsC0QF9Dl1hsVWTpAFEF7aSWJ+5EDi8P0KfZHlFnn61s2/U73w80e6RfgfnAmVZoCoLAVXehdc6Wwo90lxZgwW2vzWvNB6Ec+8WgSdc7E4Fq7/vG+efmvuKPB9XLw34b/KUTHXd5iPUpn+YRdelwB5/knhTo3qHOSfOo/0a4XAO4zKh0PMi4CLYKfIMsWjvPcyx6gMhA3VMRbSZ8p5i8BJwUhJliNFzWW0RIZCUliDiDQqkwgbRCHF/DpESPMVpd0mHHGkiKOEh0+PmJoMkeb86A/eZTwa8cYbbzOadHn4cIe9vX3SvKAoLFEUEyUxSmtUFFGrNxGokIqkKbIxzha020sktRqHR8f85V/9DY93DkiSxDMHioJGvY7WCh1F3gZJU+Ikpt6oM5rMEDi0EqytrHDl8hUG/THCSZZbm6x1EpZX2ozHI67duMkP3nufWWrY3fuUNM9otJY47I64tLlJrdZA4AO8sa6hRcx0kpHnlu5Jl5WlhLWVZYbTKVZN0bGhcCnOSR/dz3KmuSFH4YiJ6y0v+e4sosi8gKjxKQZJEiElFHnGaDbi8aOH7O4+ZX11lVs3X+eTTz9jMplii5zxcMjl7UtEOqIofNBodW2ddnuZ8WhCkXtMORgOmUzHfPnVXdrLbf7oj/+Q1bU1JpMJs3wKIqPbPeHOF3fZ68Ha9vdY6nSe+wy+EH0XIg4LhUO5AKixXvXQGQSOXAoyefqBLIoi5IJ476u1FuWWF7e6c5uvkvpsKbVnPickOBtAfoaWOZGWjNHsUyeNFUlUsCRSr2QrC6/sfkZED3gmkn5evvx5Lc/zU5+TSmGV37Ss9dF4vxmfXgI9/S1HCYXCIp2v21iW4it/jJWe8o4HUU46RCxAWJzNsTbFigghTntxTJ5jigJnLdIWYDOGcZtM6HD91lPpAkh2RdhEsSQiOtNX7SlFC81mfnM3TlJYjXERmdEYYiwRVoZqATo9tS0Kp9DuHLGIr9FUc8BMxqfW/LJ84XzwdfhkwT9Yc6CC4+JFLWiGe4NGKKzUvi440stIhn1UYr72WC/dsaAI/fc+kgNnF9JRRHizzOkL+XGFzsl06lkkTiCtIBIR2mnvwQ7GgyTcJ0dlSMlQtqUsGeWFkl6iNr0YIoQFp4AIQYwSMXP9CgGkSDUJO+28eoWQMhiWvk3MKoVQ2NiAkChniIwkLurYkWGrLnlkDIe8gjQp9fiIpLGPyjNMsY2l5ue9ysniIbgInbfRRZO4SKgJw2uvvs6nv/p/c3z8OZ1Y8cPsVbZaq/QGI372y4+hvols5tRi71UWUqMzP88LqcmFnytRosjTAeuNnPduNLkQDTh6NONnf/Mh7aVtvvP9G/yn//GXrKwniMkMLQqGR4+YBVA7mUyYTCYMh0MeP37McDhlba3D5uYmOoq4uH2VqJigZ13euXWZdgzXr2xx6fJVjqYZnz444VG3IBUNnFIky022rm3SWFIUk4JiZmhFK9RYon94j/TyKnnqWO9cIIlW6XXHTGfH1Ff2aUYTH8FTU45GJ3SLjHFcJ9UtsvoqvVRiajHDVJA1FUUWkYgmLbWGyk6YnUzY++oxT5/ssb51lXd++IfsH5+QfvJLuuMBNk5Zu7TE2sYSaTqlHi1xaesKQhRMp1OyLCNNU4bDIffv3/fiitZy4cIF1pZWUDPDuDdkOuzx1Vdf8XDvEOprvP7WOyTXljnS47//Q/Zte/n2XDSxSHJehECCRYBfHURCSbU9nbccjuVKd2ygLy+GUCtNmTLzPdgPZR3r4Not/ZbzvntHu3A2fGYONQipdtYanF28Cn8Q5yROBIp+uXYGBoGn9rs5mD4DSip7BwIYDd+3jnmJIOsdnWIR/gQKekVRVwEi2erarHMY45Ah/9cGpTu3cPHOllF75e0/QSWw50qqfnB0KOcQJic3uU9ncD5/3wWlb5Pn5LkFoVBRhHUOqfz9zS3kBowNP7gA9j24F4GJ4MTcgREw+cKcWHC+VFMi5NkvRLdPw30P3FwI1FgxL/O4cBtOz0sBpUJ6lRoRbAkh5t91wTYob1XAf54FuYBz51DUVZTvuQui7KULFZb8maxwFcgvn4FSq8GnuLrq6s8+I4v6DtX1vcjeqMasvP4FfYDyL5Xv4+v2/kWAX36x/FkINpTYvwL5C9oDwuE1Es7eJS9WKcNdKYOBJeXeVoGI+TUp4UUY/REcNuSWOyxSeHE76QTzo1pkZYc4nDIIVWCcwTlfdtcEx4UXwPTXa3B0Y8lqLGkWPdaUxbFMbg068gKe0oJUYYyk75E4O14AyrF58RI/PeozmvVJMAwnAzrrHfJiwudffEWcNIiTGghDvREhgvixcV54W+JQUiCkJZJ+vbh96xatZpOjo2N+8bNfUm82+ff//t/yX/78L3xlER3RqNUZT0YUec50NmGazQDHdDbl3v17DEdjlpfabF/axhnBSruDEBkry4ILG3XazYiVzgqvvPIGJ/0Jv/rkCx4+2cM4gdSSi5e22by4hY5iJApnC5ZbLZpJnYP9HQ4Pu9jCEHcSIqWZjMYIO6DdLrBmgnUKXM5kMqE3HJE7RXt5g6WlNcZpTiEkxuREzhJRgHTU6jWsndA7PmLnYJdHDx+ysX6R7737Q6ZTwy9//gusyYmU4sLGJmsrHbK0oNVaol6rg4TxaEyeG9K0YDAY8uVXX1Gv17E4tq9s01nrkBUZ3X4XYzN2ntzjpz/9a668cpu33nqLqFZHJrXnPjUvVt0PvtAScuIMpshwmAC0DWiFlPqZ70kEqlpQDHP5lhe1F/kFF4/vhWKUUCih0SFHzhTeQ1RkDSLpsPL0+UqwXxRF9XOeevc3FXbzAH8ORJ+Xj1/m93tqvKs+W5YCtNZiZNgArQ2lF0o9AFtFss9rpdjG6fdYMC08qEpns+rzQgi0FES102PhgpGx2LKiCCq+LnjRLYSNQeCNmN8MYP3db/olIs9aSrQgLNjeaCm9zeV4/S63Uwy54KU+K0wlrESaGEGof2wlSmgEyr92ZZS/CDaOrGiO1voKFCIowhoL+Qvmd9kUNb+eCAFCgQNj0rDq+GNJDBFZpVSvta7KMfrycp4On8gGUihf9tF5J4YUFikkpigwVqC0RqaaYjaBJUUS1SlSFUrMhBrPTiNtjHAaaRXK+k1eqYhbr7zBH/3hn/Bf/+seW2s11tZWGQwG3Lt3n1ZriUuXLvHlg8fVGjKPJi42R1HkZNMRy52Iq1evMplO2PvqPltbW1x78z3+809+ydJSC60jVtdWuXbtGp2VJfYP+1hrabfbTKdTHj9+HPLlYHV1heXlZaxQHH71FZ2G4p0bV1hfW2W1odi6tM0szXi885T7Dx4znuQk7RbDWYp1luvXr/u69LnAFbbSEJiNcw6PT0ikoV5vEMcRk8mYbjqlffE6ViREsaTIM7q9LsfHJwxGE964fRmpY9Iso5gZbyRZi3QFrkiZjobsj54y3HvEo4cPuHbjNu+8/wdM0RwcHLC3t0dnrcmVq1e9IJ+RaNWk3dqoDEkpJaPRiDt37nDv3j36/T6bm5sURUG9XkcrzcMHj5j0uxwd7NLrdnn11mvceOt98voaTwY56nf82f3n1uTz1ltROvaCXV4a/xXeL5+lAHmcQEoXIuU8C94WaPhVdG6xnQLA/tmXwvdPKl96VuJp8M5JnDE+/zvUlSdUnvFl6YJLoQyPOzuvU48Hdd4JusgvKAMIc7X2yvk9x6zBSSBC0CEAEevNf1/2PajjB4gS/KFY6bASnLFnxtJ/z1gXUvTw1XYsC47TOaCaiwGWPoUQ2yx1C92iWyJAUwtClSWuvLBeVUEAA9J6MGW9oG8JqgprKQwUVmCtLx9oRRhSV0Jee8p5Ud3u0j0iSuFAQnS/BKNzYOpp9uVzL6t+E3bzCvWGKgAvYwzNo9ji2X9E6WoI4HNhKpb3q4z6OyHKrJC5C8L5nzLCKwMIlmKx7jpVGbNTT4IoxRtPOynKkan+nftAnr228u+VHbH4bcKYBgfQS9r/i/1bODAlQ2KeShFeVWqGwQarPq+CDWGr++0Bfhg/YRFCBQeanx7VeAjv4Kl4i+EaJCHfPtwvX0ISL4Adgp9CWCLtPTZOWoxUPh3GeKE6iSiXAn9vnAsqQgKkJtKKWHlUlVuHVgqtfKqQDMKY89vlKNlB4U4zHs+4efM2H3zwY/Y+/xmJyEiSmPF4zKeffczG+hb9zYzPPnkQtDBAhnSXhUU1MHcMhozV1QZvv/U60+mYg4N9Ll26zCvXbvFnf/bfiXTE6toaSb3F7/3+7xFFmof376N1hJTSl9MtKxIJuLC5zsWLF8BGGGNxLmNleZ21tRbbF9dYW93EGMv+wREHh0dkRY7SCbMso9vv8aMf/yuEVIF55KsgxXEDiEjTgla94evSF5Z8OqXWdFhbYGSOkg7yDGsMs8KSorh+8Qppbuj1p6ikg3EG5cA6n/KptWA6GbO3t8PTp7t85513eOPNdzg5GtA/OWbU79FoL3Ht6hVu3rzJbDZjubXEcmeVOE4YDPs458H+/QePePDgAQcHB7zyyivkeV6lWs6ylO7JCcNhj/29p/zpn/wpaxcvM2GFntXkL3h8vgbol6qnHtQrUSCk9UDeeeCeW+uLpS+0mtboSKFUyKcSiiLPFybJc1oo0fJ1TUlQ0td2jJRGCxAmx2Qp6TQmr2uSyGD1HOg7N98MF3NeF0XdyvYyat7PgHhXCuidBvrPgn2BEHouJuNMJVYjpcMqf34jvYd18VjW2PAayhJ7Z1tVV37xvXAPJZ5pILFEWiJFKY6h0FKQqNPfq6hbi+9Jh8gd5N67ZywIZXEYpFPBZ/myLpt/uk0I0Kcd3ee2WCli4XOpMC6Mf3kQ5obB76B35HSX3PxfZ0EEj7iwHsyaGgJf5UJaiZISjfBeZrwxYoux3wy1L+kihKBwxdyesiCEQqn4a/umRc2PY3A8eFXpHKl8+TqlJBE5TSxKW+LIobVXejbGUMiCXARnn3RkzpI6R14InC2QgJKSPPfKzVrHqFSRTQ3CalrJEpN+qCMbnBtOaKLCl+bTViOtQDm/cdfiJf7FH/8HDg++4qtP/oZ6vc7h4SHXrl0nabT4v/8//7fKqWeddwI9K+QJSirqjQavv36TOIrYe7RDZ2WFt37w+/z08wd8/NFHrK2tE9VrXLl8mWazxXQ2I88zjDHU63VarRbGGEajMVEU8eqrr1Kv19l5ukc+G7O8cYHOSpv1tQ5XNjucdLt8/uU9/u5Xn0LUoLN6FRvV6fZOiOOYzkoHUxhfXsp5Nlez1eLkIOeoO+Di2hJRkjCbzZhNJyBqmHwKMgalSEcDTo4PGYwniKjOxtY2KO2Pl+feSeMytE1x6YRx/5je00f0nz7kvffeY/vmG4yNYZJNefDgAb1en7feucnly5ep1RLSmaXVarG0tMR0kjGZjjk6OmRnZ4fj42NWVlZ477332NnZ4eDgAK01h4fHfHbnDvVI0Gmt8M7b32Pr2iscT+FkMELJ5jNO0G/bb7fpZ4bbzf8fnIV+STZItHe+lcA6fKOkpVsnAg09mP2Vaj9zMFLu0adOGYBfeEZlyDVXAiItUdrr42gH6WDI/nRKfVUTtSTWGJwVoXZ12JWFoLBeC8er7JdgJTgbStAc8MVin10J8Fxp37hKmd2b5B4wFGbOBPCBFy/o62wQ8BICJb0YnnXO6wNJO79uEWCjwIvWWbwwl3FeLNgKXzc+7GWl6LFPETBhfMuIt5gDtILg9FZ+3Q4BCaX9+i2kQGuJEwaHxZjCA3vhQ0+FAZP7gIPDYKzDucjn5qMCE6K0YOH8BDkv/lfOpzkMnQP4auaUQnGCBdGz8m4tACDK+zJnf5zbxGlHR+lwWNx3yzRYUX2m/Ht5lwlAOXxbzK+j3Hs8Bg6M0dIZIMI2HlCsEX6sbLjdlbBbRWV3i2ekjDgvij2eaze70kFy+ro5c6X+Nzl3rr2wlaNxxmFg59cGLEhauNLT5F+Jef8lwrNHtESKCGFKYOyCWbbo+FD4mpPhfjsBtixdJ8JYSpzSOJeH6zZo5e1ApfyaoZVASW9LO+mrYeROYYwMFSOCDoZzSBu0M6RDGkm/P+baWpto2vcBCxMxTf24RcrhXBFmTCj1SEHp6JRIpFDoSNCurfK//C//K/+3x18yPtlle3ubYX/IW2+8DULwX//LX1I4Q+EMyvnny9v2NswTfy5fljjn5is3MEXG0yeP2drYZOviVR4+3OPhoyfM0pSGKbh6dRtnc0xuWVpqsrOzQ1EUbF26xGQ6w+Q5cRTx5htv0qzX2X96zHTYZ3klYb2zwquvXGa53SKdGT76+GM++vgLoqRJs7VEmluyWcY0y7lx82YYQ4ESEcLB5uZF7n91l739I1aXG9y8tkWejsjGE1Y2HNJOcULSbHQYDMY8vH+faVrQWOqwtr6FsZKksQSqjhMxyhmUcdgio3dywuTkMeks5fXbb/DG62/RO+mRzjK+/OouR0cH/P4br3HxwiZaRTQbiuWVVYTQjMdThoMJ4/GYbq/PV199hdYRf/AHf8BgMMQ5Q60W8+TJI467XfI8Y3Nznfd/8ANuvnKdwcwwmWh0VAsVC85vLwb6LquAvsSghSVKQLm58R4jKM484HGsieKoAvp5LugXOV8fqPPe8K9rSjgiKYiVIIkUWlhyYzHZjHwWUaSxr40q58ZymYs5V8j33tmz1H2Y17x/UTs3Wn9ORP/s54SQSKFx1vrIuLGVx13KsGFK/2DbsHlbO9/I/e+lofEs0D8voq+wqJCfHzTwvQK/lESRQkeaSAqiM/XqhXx28ZYyIlISJQPLA4FxBl9Wx1SRla9PwPin35T8ermdWAliKRBFYGpYS/nYVWZFaRT9DoL9SlXAgTeTTQD5peFjfT46cajt7CmYkRNo4V+XeYI6digl0Fp4URmlQEQ+up5551vuzDPz97ymXR1R0SpzkBYRGbR2viReJKhjWTY+2iZkgRCeGWPxqTA2trhIgrFMjakmbeEKT7uTgjwvKIxE6QgF5LMMaRT1uI6wuTeGXDCqpUCZCGEV0gq0DVUuQu3mjfWL/OGP/3cM9vYRQrCxsUG7s8pP/u7nHBwcVOvGHOg/e91ZllJkY9bX19nZ2aEdx9y6/ipPnz7lq6++oigMw9mAzaUWmxc28SyAgs3NTWZP9hgOh2RZFoT51oiiiJs3b7KyssL+wQF1BcutGkv1hEtbF3j65AF37n7Jg50DRFTHRTWQmjRNPc198wJL7SWm0ymxiBEOoiSmvbzCNHeMM4OK6li86J0pMtY3NpE2xxYzRC6ZDE4YDYc4EbGysUWtvUaO8tQ1B9IVJHZK5DLIJ0yHXUin3Lp5k5s3b6KX2hwf9Nl9esTh0SFKSS5dukQU8gCbzTb1ep1+v8/BwQmz2YDd3V3SNOX1119na2sLrTX7+/ukaYqUkgcPHoGTvPbq61ze2kQIwWg0pT8yoJdpNpdJ3fNVbr9tv/mm5SIwcBDW35JuLYRDCW8fSFyI5lApvjpkEJAkMNL8no1QgaYrcM5UgMvnypbR8LOtBFkeoOpgj0TKg3VlBNJlOJd7WrnTPrKvBMKG9a0EoeG5966GhehjCdrFHNaV0W0CVb/6TEg+dwtRcuNK+q+sItxlVR4XggshGI+1gjK270oh4ODo9wFCH1O21mELX4LTGv+v1+6bn7eKpIrwuysjngJhBcrN9z7vG/CASwqvXi+lQCmBVIF5gXcsC3IcxgN9N6+a4IRDWZDai6jiZIioq2rswpBVd656TyxgwFPt7JtyHsl38/fmDqTTXv/S+fRSIY+Fj81h6+k/+xBKiMwKd8p55ZyrqhOgfA6+dA5tQ46+mM9V/4y4qpyjC44O4b1MGFuCaFmdu5p7C0Pi33PPDtN51/Z1F33eB8/7npufuRxtV6rrOxE0c+asB++eksFhVo1WNeeEK9DSgrKIOCJSEXWlEc6RZj4I4KqolfDMZRlSc/AVplxYk2TppBMypBQGwUdpiLQj0hatvM3oA5UuVDKUOHzZ61wIcmNx1j9XBQYnBBmCTDq09WuFkxIZ+m9dRFYI70yQObkJV+5UuMcFYELaokQpSCRoIdm8sM1/+D/8r/w//q//FybjGZsbHdZX1/nrn/yEXr9PcJ/hU2IFBCdhlVIUwL51Ga12k8cP7zHqd3nj1m0G/QGff3aHfndIEtdZWmqxvLJEns0ohKCWxNRrMZFWWOtQSrKyssxkMmHr4iZKCQaDLlk6pt1aYTod0llZ5uGDB+ztHXP3q52QQiLQUUxqcrIi5+atWyx3VikrcXgxYkOU1HBSMk1zhIx9ffpBF5vlaAwiH+MQpBPJ8d5TDvf2yTKDjRpI1QBRI0rqFCQIFBEOTE6RT8mmQ8ajAdvbF3jtzbdxCIrccnzc5XD/kDiKuX7tMlEsffqWUCjtRQcfP3lCURgeP3mCMZYPPvgR7fYS4/GY3d1dj08FQYW/y5tvvsm161cpsin9/ojjUcrItIhX66T2+XnQL0S0kfTUBIVDOkMkLY0kQuEfKolCKoVQzx7GLy4FFkusLXniaV/zSLbzdN0AJK215MaXbnn2WOLUTyOCSAm0ckTKoIVAaYFxMmgJ5EinMWYOGpxzVV69lBKlvDDMeTn6L0PdXxQRq74jVFiITwPkU59xULiSim8DcA/HsvhSPcKQC1d56sv85QV2H5XmB+f3v4pUBIq4Qvh8t7C458Z6YRcrvPy9kijtTo/1udctvViZdX5TRZDmPvfQuJwi5J2dBWt/n1r35439y4DB32YTziFNhlJlJQeP1JU63S8tvJPFF1T3DqfcOAocOL+AOitwSvO7iPQjQq9KUaSQl+8oQkqJQQuFRmCNQziLFhbtLJFwJFoSR5JICWq1GK3lnEqvFFIJskwxmznSmWGcW0ZFHqLyqrrPJfum1GYQxteAlcrnaQppkdKiooIoEugI6jgaLvQ3eBnL9aeKVAjBqJhhnY/IS6UopKKmFZEEaRXGQhwnaALVLs+RQlJTiqKwOKG8VIACaUT1rGntnR5aWJSSTCYpV6++wQcf/Eum4y/Z2trio08+YzAYsLq6ymF3wHMjI/h53+l0iGzE7du3WW1rLi0vUcwKHj9+zCeffIJSkovrm8S1GgLBF198QT4b8mjnAETE1tZWdZyTkxOazSZaa7Iso1Gvc3Kwy2i9wSv/4oc8un+fh/fvUmss8f4Hv0cq6/z1zz+i2x9QWElucq5cvUKz0WQ6zTAURAhMUbC2tk5/miOiOrXmErMs5+j4mEjHrHfajNIJWifETnBysEs6myKihObqJjZqYGWMkorYOozLaIgMlQ0ZHz+laVJu3rjKlQurzNIZRZwxnWX88pe/4vGjxzQaDTorK0RRRJLUUFqRZRnd7pjdnV2i2HH16lVqtRrtdtt707tdjo+PGQwGTKdTOhvrXLl6hU5nHSkiZrMZvemE417GNIZ2sk5zpf1bffa+badbVK1BpfPeIRVenZ3CrweENCCRoygoebclMLHOU88La73YbBBoK4G+B7Oekm4o995SaC1wzsOaIkO5OylBaUEkHJEoUORoVZCIjFj7cpmpARX8QqKCCgKcQ4VLKh/7MqhZAfwFoB++svBBKgQ211Ivne1B98RC4eYivJ7OX4L78qBUa3wl8Lcw9iI4QOZVgIIdUtL3na2ipL4zfj8sgxQuXI/A+UrfIWpqAjATAYx5d0EZXRah/J/Xg5FVdNIfS6pS5NBH762A1PgIqzOlgCFzO2reO09VPzOu1chVF77gJaho+nP5uvJoViyOVRlDDsGkhdv067S5FSGqflSiiJR2ovVjJr0Im0+B82eXwiJxaGeRrnRDhLTB6oFwmPDMuHDOufBfGblemIML41XB9IVJ8lu3XhZPUHYqBL+EtahY+2tx3jnk02mkd2xYnz6shQsRdoFSoLX0gUktQOfEdR9JH47GzGYpJk8weaNi0zkRHGhuLjj+bAKHRQjPYpBaoCNLpIoA7o1nrkjP4JVIrPNlwDWCGIcTAiMEhfTWfRLmkpIWmxWMJjNUpFB5gbExIKk1JJPxCEUNRxAmLh2cwutoeAdDgQ59HE8y3nrrPf7Fv/y3HB/v83sfvMvHH31CnhsubW2xd3SIFQYhispWqhwlwUGUTScsNRQbm+tsb21y8Z3bWCvYOTnkqy/v0WwuY6RjvbOKEvBk5zGPHz8mTTMmkymrnQ693oClpSVarSa1JKLZSBA258Jmm/6xYjzq8t13fsQXn9/liy++QOo6f/wv/hWjacaHH3/GJM3w4UzBa6+/TqPRIMtCmU48g6O10iE1BhUndNY3OO71mHaPWWq3iYRgdHxAc8mRFWN2H3xFPplCLrm0fYUkbmNEAyMTlIiQQqBNhskmzMY9sumQW6/cYGv7AsPhGKkU/d6Ijz78jIcPdmk1Wywv1anVoNasoXWDWWHo9gfsPt0jShIubG1x6eIWjUaDo+Mj0izj5KTLeDxmOBiyvrHOH//RH7PSWaHeSBgNHWmaMhrPSGmwJOtI93xx4BcC/Vj70gzSWRSGSLoQQfe0ZT9x5mIUZfMGualE6aRzNOIkRKTnYndRJAPVHPLCIjJI7bMArgR2JfVIuTRQbAzOGpA59VjhVEISNlwv4nJaWK8EsIuid2eN6tIh8LKtPIdzDqHEC4G+Dbntplg853wrWMTBeRWBPzUSCxttCbjOlOU7K1QHQRSE+UKpHMKW+gveiSOsVwiX0i8SshSVOctICJur1dJrBbgA8Kw3iJTLsfhI7SJf63maBd+knR3ff4wmnEVkBUoKtAoRedypqBPgRStdgRIi0NJDFNp6NoQzZXbk72alSy1dUF3wIN+bi7byinv70IH14F9LQ6xBC0OsDI2aplmTJIkvHaKkQCq/6YggMKV1gY4MkbOEVHfAOxGojHCDo0AKPBOgGIeqRxZnDU7mCOUdKiI4CQQ88yy4c+Zh4gxCaiKhyKTCCO2jdM4hC03hLI04ohYbBBlFNiBSvmzLdJzjhEZEBSLKSQqBdiIwAgqUwG+UuOBVr/Hdd39A9iBlb28PIQSvvfYaH312x1NvhafdnWc1OecYDIbcutzxpfUiEFLy2Wef8ncffs54PKY3ysmnGVYK6jXNG7ev88rVLZaWN/j//Kf/zMOHD7l27RobGxt8+eWX3L59m+3tbZ4+fYqzlndeu8F333qN8aDLzuMHXLxwke//6Pd5sNfjwy8fc9yf0KgtU0tiZilsbGyQF15nwVoHwjOnWkttpoXAyBhVa9Lt94O3fplIwqzfpxXFpHnO4HifLJ2RmYi4uYKLGqBqYAWRsETCUhc54+EJZjpgc2WJG1dXiYVBGMGToyP+7ucf8WR3F+ssm2vrOGA0GtFut8DBweEBvZMZy8vLbF1a8yVv8I63g4MDnjx5wsOHD1laWuLy5cvcuv0a7eVlKGaMhr7EoZQx7XaTJFlFx81yon7b/oGaVuVe55GhZweBkhZF+awpEBoR3hM2DtGtQDV2HpQWFoy2ZEVGbguQEiEVUijywlFIhzDSV5LBhTSAYNI7D7IU1ts/CrS0aAERDi1TYjGlrhSRBisNmXVEQdVBCkmFp8LlnCozuxg5PQP2K2C1CPirLwgQXuDOMFfjr0TpPDTBOR8UsSX6RlLSLR0+cF3FW5w37YUNTg/rKek2ID/nfNk6X4feLXzP4vUQqHL4oawdUPbY2yBevsZW98dfnE+B8NqIAbgK8LFthcMDI6VESJ9wnsWZS4qFlBov+GeraoH+rIRqPqfn16mXC2Pr/Uohol9F6T2jrXIYCONdN64cYz9H3blBb7F4glO/nv3UPLIuQlDMhpR5Ebwjxkd3BQHse1tPOIsSFuVAm6DWz1yA0rjytArvEvDj5/0osoJzXgU+YOozc7BykFSvv57h+Btv1iKsA2PQxEEXzGLx7J5IGmItAuNGkWhHTUOsvNNLakFdKhJpMSplLDMya1iqZSQix+gYoyOM8XT1IpSfLHCefeJEVa/eO6q8Q0EJ74DxAUmJ1qX95G+dokzTcSgMOjxblatASHIJhZ9MRNZSSMvM5owmlkY9IjMFwrQQKBItkW4SgjJBJFAKnNAgfUqDkiClQVk/N5yTZEby+3/wR4yPv2T30RNWOx0uX7/KLz760D/P0mKkQSjPjnBVVYYQNIxgfbPDtatXWe+sYPIZd+4+4Be/+sqzIQvLYDLi88+/YJJNeP+DH3Hp0g/58suv+Iu/+GtmsxmrnVWUUozHY9797ndYXWlzfHgAdkKzrvjg/e8x6g+YTjNef+1tvvPu++wd9tk7fshJf0Ct2cYaQZwkbF7cYjSeoWQdFXSXJIKk2SSq1cmsZWV1laPDx0x6fW5e20LimB7vs0IdCsW01ycREdIYLmxcoh43mYoYJWMQ2pcsd44sHUM24dKFdS5utilyg3OS426fTz+5y/7TE9LUcuHSBkjHLB+T4HBKsXd4yKDfp726yvVr10jiGGcdo+GAyXjCg/v3efLkCULA5cvbXLt2jShOmE6njKYjrDOkWYaMa7SSFRIREbvnp7x+DdD3EESWed0CtCy8V0z4Gu0Sh3KnwaYWXgjPEqjpwpFJr6dvMVi8MEU9iRDChTqrOdlLgjdXZF6FHocSFh0ih1JrajEoYRHuWeXxxSjwohPgmwDQ0+A95NCL86n7FSXXWqyR2LM7zLNHDzmEz7wd6tL6snZ+lT39qfMAtcSeNh6cd9T4zWHuCBA2D/5eQ1ky7GxPtdReQCiU18N5morPPfALvcE92/d/hk0LRyT8HPQb4LPPgnJeY9+WErpuMbff07eME7+zqQ4qRANKmj7CeG+1xJdakQJnFCbLkdqSaGjUJLGyRArqiaGeQBwZIkGgHZpAb/O0ckGBkDlSF0gdo0TCLE2ZTCYVlVpKHymP4pgkUajYYouCosgpTI4xBcY6FAqhakitEeLZtKLCFs+weBoR1KUklYpMKHKhMaZAGn+jjAWpHM2mIZ8OwfWJoxYmSbD5FIeGKENEU5ZkjQiLVBapRHBm5ISEVCBiub5JOlpjMBxx6dIWDx7v0u12X+p+CAFXrl5lbW2NxI7YefKEhw8f8dbbb3Mpk/xv//m/0263+e733+PihTWuXFrnpz/5Cy5sXeW1117jJz/5Cfv7+7z55ptcuHCBS5cukaYp0+kUawpqCjZX20hneOX6dV5//TXuPXzE/qgAXUPVWwgVIYQgSRLWVlcxhamiZ2XTUUTcbDNOC1ARh8ddIutoL7XI0wnpqE+cJPQHR+TTEXmWkRlNfXkNETeBxFN58RGpyEwxky7r7TrbGxphc2bZlL2TEX/zy7vsHY9ptdqk6ZS1tTWEEKTpjDzPmU1nnJx0idQSV69cpbVUYzIZ45xjNBrR6/V48uQJu7u7/Omf/invv/8+OmmQ5jnprCCbZYxGI/ZOhmxef52V5TWGVvC1JUO+bb/Rpis07IG2DlR5rRzSecq+EBZCBEo4rwotnAjlTH3ZXe9j9euZKgFwoO+7EBWVIVnZC5wFunu5GwqHxFRROyUtWkoSLUkiiIUgEYqaFsQapJZY6Z33Sigi6fsjHVXqTwmefO6rv8YSXNlToJ5qr/FEsRBlC+kIHizLAEW9nVBY66v4hPXXMwlD9Z1Sid+WnAcX0hnCDh6E2ITzDgKfkz+P6jnAGBFwfemxKAX55pH/0mHgRcz8UlhqrLjg6agi0lJ6h6+Yn8XD/1LiWXuIFOwTJX3Os3Yh39oGB4EIomZl0rmZD+J5Ft+CD2Ve7hgZ2AZlElvp9C5Haz5Oixn0wg9Y+eqc8yxyAEQF/d0zn7OBqeLtNAjRfBlgtUfuCGF9hFh4xkSZMqccgTFSBqG8zYctex/sEuEdPy4E7WxwuJRjX4lGijPj5xZ8Hy8c1a9ri6P/Nd9x5ScNSvrn3bqcWCtfThob0hQ8oI8ULDUTmjUdAoEe0zhTYJ1F41BCYp1CG3+REkcUaZxOIPHzqDecABYjCn/fnQe/kVaVs0pYE/LqqTQ3tFNETviUmBBZ1/iUn3KulXqH1hGk8yWRcBThwZfBbjTaC/ohPBtBuZav0CPGJLHB2gIkgQ0pCLkwKOXtVJ94YFBh3lo0S50NmvGIw93HXNja4m9+9nc83XsanhvpnykZZsICM1kKyVKrxtUrl1jvdFAonjx8wsMHX3Hj+hU6K5L//J//gs3tLd787mt0NjpsbKzy+ed32N7e4rvfeYc/+7P/xgP1gNuv3mZ9fY2trQtMp1MfALYGbMrtm9fZ2XnEUqPN1uXL7D49ZGf/BCslkyyj2YlIZwVJo8XS8hr94YSlZg0UOGv8cxHFTPMcGSfk1jGeZUid4KSn0OfTGUU6pigksTOkmUWKCCUjb98R40vES7+BmBxJTqsVcfuVm5hxn15/xDg1PHzwmC+/vEerucpqx7Cxvk4UxfQHfWQ8phgW9IZ9pJB0VtdoNJsMB4PquUvTlJ2dXXZ3d/l3//5P+P7775MXOcZaZrOU4WRImmecDEasrF9lrbOGUnqeEnZOeyHQTyJfH1IGUQ+NJZKBmiv9RFUO5DPl6EpFWS/qYq1DS58r5GOC5QbpIJSbsyZboJK9oAmoJRGx9v2rxT7FQJISS4gjD8CwBs5EV8sI/iIQ/6aR4QrcL4B444lo/nczV8ovP2eMwRow5usXv6AJcqo5mNPlgqcb+SzQPxvF9N6408cJKXPByxcWdJMHGrmPbviN98wYBsNAOL+gSeep/E6VtoE3Cl6eE/FPswm8OJSW3uHlI0XeAFxsJVCpchURXq1feQvOL/SO9B/jIl6iieDv9zfdC/AJ6Yi0JKlFxHEEVmBmBdJBHDkaNUMtskTakGhLEjuv6+ASb/CVJR6DY0RgkMqgsb5ki45QwoveSYqqJJ6UkiSJqNUSWrUcawV55sgyQZFFzGa5F80TNYSJvXF9JsWjUDLknc1bS+WB+u/1MSSCzPnojMFTfR2ORj0nJSNKZmgFWkfESdOzV6IMohn1XBBh/PG0z//LiqwyVa0QZFmKUoqLFy+yu++jyS/DIvI2nWRzY8PXge+OuXPnDu+8/jqXbr7B/+s//RknJ8e89/Y7rK2t0VntEMcxWmuOjo9ZXl7m4sWL3L9/nw8//JCbN2+yvb1Nu93m8PCQ0XDASi0iVoJ2q8Fyq87u7i4///mHXH/7B2RmSGYhHQ9RQqCXWqxvbJy7jiZJwlJnnf5oipAR4/GUrdUmjXqNk/6A2XhAs9UmHfVx2Yw8Lai1LtBY6pA7RW4dzlikycFlCDehoQWr9TpaZnSPDtjdecKXTw7ojR2vvf4dusMR/f4xtVpClqYYYxiPx5wcD2k02ly9fItGvc0sHZBlGVmWcXR0FMZWcOHCBV577TXq9TrjNGc4mDDq9ZiNB+w82eGrJ0/5XmOTV7bfQLuYovj1HcTftm/edImz8c+CX3stWpbrSIBiztss8+YQbh6lBLsA3qSPxJWgGxZLtwd/rDhFly+jZqLMJ5eeVptEimYkiFDEUhMri1KEPVRU4NsEyCpK616EmjhlVD3Q5hejqOXvBCO7Sk0OUXlny6B5yKPHhdiiowh15a0LF+ccxpqgmC88sC/zzUse/QLY8vn//rzWyio6XpLXTVWu11HVB8RHh62vl1rehQDo53CuIrdLqpJjUsxl6Wx515wXKZOBQerAOzTCKf2PDI4LV6nQWySUFHcRKNclPhan4WX1IoDieWlYD/hL9ftyLljhI6OBl4BDUeXRz91CYaSCw6GaQL4tmm/l2+6cfpUuBH98G5T2y8+UTDCv8+D1DmQQ45tfqz91cJ4ID+MVIozDokOLcK2lEKC3XWxgejghwvMlFnLf5xT2Z9tLrpPnzL3nNYkHrkoXaJETNwUrLR+wKmyOLbx4nA82aOqJj+xHyutRKbxRbI23V60AYRU6PFhShMoTOJApDlCu53WohNejEs4RRQnt9hIyCmWycweZwxaeRaKcRFmFNhqLBSmDu8qDL1GmALgweAGYg8AqR+G8ACWARhMvrWCtp9NHWoJtIqQCN6SRCApjQXhRUKW980YIUEHs0ttfXtNCB66mcZKD4y7rGxcrgKmjCKckzimcLEUI/QpWddZZpuMBly6uox3sPnzCJx9+zKtv3ebGq+/yl3/1OVor1tfXaLWaIBzHJ8f0B31MXpBnU27euMFPfvJT8jTljTfe4Pr1G9g8ZTweMhgOWV1ZYffJY16/fZukXuPgpMdHn9zh5uvv0Hv8BJykPxwxGM/Y2LjC6tpFkmQJ5xSFc5iiQGlJVGuS1Js83T8kdzCe5dy4tE2z2eJkf58iK0iLlHyaE7kcl2Y0kg4b62tMnKQQMdZpnCnI8inKzKhpwXLSYDodYtMphwcH/OLDLxiNJ7zx2hsURjAajxFScHh8zMX6JqZwPN0/oNaocfnqFdZX1zg+PEJJzWw25fj4BIej3V7i4sWLvPnmmxhjqNVq9AdDRqMRaV5w0O1y79FT3mxc5Eq9iS1enMr84hz9wPcuy3RoEXJLAk5R0oP8s3HfKu9euOpHCb/gi4qV6nAm86I4eUaWTjBGvlSQpFTcTyJFLRZEUuJMThJFxNpvumWO2GIrKd+LAP2bAv1nIvXWeo9dAPqLlP7F322gkb3U8c8g/fmx/A/gF4+Fdh7QR5bKqWEcwv+qep7lxmsLnJQ4688tlArb27yZIqewjiIz5LmjyCVKxJUxoiWBgvTPv/lIgk8ncUL49IVnPhUWR+dFWgRe36JUXFZybgj9LrZ5ll4Q3gte4UhranFEre6rXlgtsMYiRYGWBZG2xDon0gVKWqQEUXiD1BoTyqaEurUiiEMCTkImvTNP6ybNZr16bgSgI00ca5LaFFxBHHlhF1Mo6jVwNgKncYFyW5xZT5zWodbswjWak8Bm0QgiEAolZaCpemqqcQatHM0G6AZYMUWIhCjKgAx0htAZMvdiW0J6gUrvyJzhKZAaaxWRcKyurfH06T6HB4e0Wi2K4rQQ5vNaHMdcu37di/eNe9y+fZv3X32Xn332JVma8sMffkCjvcyTJ0/YvrRJluW8eusWTw963PnyPr1ej1u3bjGZTLh+/Trdbpcvv/yS4+Nj7n/1Je/f3mZjtUMkDOPRkL/72S/58sEON77zIz774g69wYhOrUktjogbdTorK5yMJ8TR6a0kihPaK6sc79zDCYmQkuXlFaQUTMYj8myGFI4k8vff2oKVTged1JhmBYUFjEHlKdplWDFlvdOmkaf0T3aZ7O+wt7vLcnuVd37/A9J4hZ/89GfkeU6aZozGY6S8wHA4ZH19nY31KyhRYzabMZ5MMMZwdHTE3bt36XS8Q+Tdd9/lwoUL9Pv9/z97//UkyXKleYK/o6pm5iQ4zUjObl4KXBRQBRSARrGmUt0tPSu7+zD/38rKvszIiIzszsqM9E7vSk93TU8RFHABXFySPDIzuIdzNzNV3QdVNfeIzEuqcBtdLQJNiYwID3cjakrO+c53vsO0ghcvXnGw/4TVbpuNjU1WtvfY2tkNugxK+Oqaz79r32QzJsVHZe7oi4RKH/E98zxvCJFlO1/BJLhJi5FJgeg4prme9uoYDfbB0W2ip+EkMcfWoZSQGaHQQYskN4pcOYwyQZtDkvMe99iYOoAj5pbTCOMtMvH85S8//4OPB2ycexILIObexy3FEfZxm2yGS857AglCWb4o1pfW+oWIvl8UHG2CDKlPiSXw4kcaz1QCpboBT0LUMlQFuJgv3wQUYuQ9Pavg7rtGxFlEglCpn/dRbUPJ4coKZRRa9DFuGT4T/gtsDd/YqiqOgUVLJTj30WlOTjJq7jhLoFTPbEUjahyPkfpEGhQonSmVbJWFvlk4o8QgzILjfqEpELeg6R/vRzWS8lEADodSOty5hGfR2HVRWiIxNMOYF5RXpBpAPpLJfVTfT0wP66MUt8SoftKOkpBAkaL5KZPgze3L7UGJH5aFPvui5ufdFoKPCjIzI9MulLIThVIOMYCzaOXJ8wDih2i0wRH0xQTdpA4TQTDxLqZCxD72FpSldjWbGwW1t0ywTL1FnKOrMlZXclQW2DOudFAKrgZXx9TMWvAupjMrh3Ihf7yOTA28A+sb5osE4ZE4d6OjLw58iNh7PGIdmTKIST64p1XkVLUJnaNDJQDtw9zS0QcQFwgvKgKiEIIoOztXOHrxnE8++4ztrZ3Yu1EBQ3QUOkyGagQqxbO6tsKDe3cpyykvXrzk3r0HvHX/HT599IjTk2Pe/+A9TKugqiqu7Vyj1enw3nvv8fL5CyaTCS9ePOfb334fpYRr167x6tVLBr0ew36P50+f8d79u7zz4AFLS8s8efqUn/7yVzw/OOHa3bf5+NefUtoaZSsqWwXCjpjAXvKBAVPVlkyEVrtLd3mF894J/dGEWe0Qk+EQxtNpSDHyFmtrtHhqZ1E6CylekQ01Z3F4cBYlMJwMeNo7oh4NGfQnXLlyhQ++9SGj0YS//pufc3Z2SqurwF8J8I4I29ubbG5vkRcFvV6vmdjn5z3+5m/+hq3NTaqq5sMPP2R3d5fZbEa/36fXP+fo6IgaWFpb5733t9jY3Ka2FlGeL5NA/1JHv+umaVdpwKZcTIPGWhcdTXU5T9wu1IAPuealKUIOlROs1eAUZa0DC8IZnC7wtLAYBN+U71PeIbZCC7SKnE6Rs5H3ghCfaLQNkyXkakncoA2Vg3ENxmiMMbGMXLjd2lVUdUVdW9qvVUN+XVDNiaXWZZPfmwACHwkwIedLKKd1FMnzzcbsSWhz2pg9VpWX+ss3qF1qpUtpcykvMGKAXjU0Qg/M3CIK6oJTb4Tw0MPrympYRHwkaCvMa4EqvBJmLXOBhRDKBBm0Trl2lqHtMCkN01lJVQWVfZ1lEI/hidTI+mKEUhSN0ZOarYqgUB7T1r21tHJQPpTswFc4b5koS54X1NZRe0G0oQ6xcjyBmqBqhfIq0P2U4JQP1B3looHnES90qrTVfUmTmq/yvkWEkmUqokGDjRt9qmgQNj9LHkQyvAI0Hk1dQ20l1CK2wbj0pqSJ7ojGEmqreonlfwQ63tJ6jT3zeqsjtes3bh4mOhg/Cov2FRkVLeVZ1pZV7Wmh0Vh8npDnKAKEYHyOuBxfC9YJLlqE3keq7Nw8j5/1GF+x5M/xKSU2C0aqj3NOa4tSFapUQBajUkFJP1cORx1+l7Ao6zdZT5desrobDTNNgSVzE6bTGS4u5nhNXQ5Zak/xtceNlsmLNkZySjUj1MNVCAVeK2pFyBV2IfdVYcIK6gOS3y6EwdEpBwdPefutG7x6eUiLEqUMM59h2qtU3lAOB7QyTeYr2mIxvuT9Wzf4ztUtHn38U67trHJj7xo/f3bIcVlx7/feZfTppwzGz3n/vffY28jx4wnbq+vsrSi2V2ZMhs+YWVjdvoVurXB6MuLhxw+Znp+x4uF737rP+nqLR08f8zc//zm90ZTV2zcYUHPUO2Zzc5t8aZWHj5/zb/70X3E+aNHK15hNMqxAjWWiKlTmubO8wvnUMytb7L31IwZuwrOzipOzc25sdrnWGvCitJyXYyRforO0Rauzw/E4p1I5XizKKArvuVXNyF3JdDSif3RG7+Qcs7LC+9//LsX6BkeDCfuvPuHkdJ+r19dp5UusLl3BZIZOewmtDLYeM5oMGY2m9Pt9/tN/+k8Mh0MgqNru7e1hraWqKp4+e8yLwxeAZuvm2yyt71JKm3x5m1p3saXg6vLyyPpd+8/YtA4IXYqWKrFzETs/Z601kfIFt8FHB8x5iUJz0fGL+d3ep1iV4LzGRpAvvE8az7ZxkgQybWkVNZkyZFpjdIhIE6OliOCCZxuNQ0gJeSIqllqNJe0WHN9G5C1d/EJrSuuxUMbWBSDZQ6y5HZz7KlKTvSfk16dPegnio/iYTjkHI2IPxv0quFMhad/P+ynZHxJ0fGuiwnfcY8PBdIoFB/E9CXubS++RCHrEcys/T62soiOnE7OBFD2OT9+B85rKBvDZWUdZC5UPzy6kySVnf9FJDjkZyX5d3AdUBCAkjS8hilC7mN/s0SJYqRrqtijBq7B/E0EJRaBmJx2AAIAEJ1MCbaE5scQ+JMakBN/s9en1UDEmjb1UXYIYqCE6yIFZEhQKI/9A5vfZWH4yh8DCCXUAcgi6CxaNkyDVFkrFSTMOfYrQpZSExIJJaZ+En9/s7H+ZMeKbewBpvr/xnX7+LEP6TAjqhdQZh/EluU4pOIF6X5gA9iWmpacG53Big2BdUiCSVJbaNUBhqEQQxnyRhU53oumi8D7YyqKETGaIj1oeysW8WA1G8LXGKo+1wSayjT8V+nCOdvmowp9crrBONHH0SF3RBD9MFCAVOjuN43CKcjHQFoETLR6vkn8QA7ISPx9gMsBRlkPGgwHPXuzz7vvfoj/sNwyZ4OGGNSDhnCpeg8bzzv1bbK0tcfziBXfv3efunRu8OnzJydEpu7vbjCeHDMZDdnffYWdrh+Fkwq0bt1hdWglPo7acHJ9w/fpNiqKgd3rGJ7/6BYOzMwqjeOfttxkNx5z3+vzio19SWcfG1hYnvTNKLKZb4DVMZzMevP02ojIqG9ct7bEoNApjcvau3mDY7+OccP+tt2nljsFwyGQ2Y297h1xrJi4xwzRXrt+iFkPtAovGeEFZh7hQXl5rsL7ipHdC//CQtaUtfvjDH7Kxucknnz7k+f4zBsMhV/w2y8vrLK+ss7G+ybSCTqeNs5bheMhgMMTVNZ9++imHh4esLC+zv7/PH/3RH4WKVFXFk6dPePL0KevrG9x/913ayytMrWBaK1F/JqTVflH7Ukdf7GWnQjUbynxT8K/Ny0A7j+XhfEKVw4Jh48LiIlLsncS/aVA586KmcVlzdVDszjVFrsjEkesqLrw24K0+kGGcCw6EdzI/d0SglYRFGQ9JRVcifLxIspL5HGta3Odi/n2KpsfNOP7uvcfWfqFf4mdTFN5G4AMVNv+F5vzrUfg6XZePS3UyXnxYnIhLV+mjsnDMw1eRAhdmpQuT3CavKd6jB+dViDxG8R6PptJZiAKkur5O0JhAcwJsLYxswbjWzGqPjTVEzSVRKt9QsObtTet3MARiHXJAtAU7Q0mFURajLKKEbquN0obheMK0ss29WKSJ0mgJEzrVCZa4IwYK3+LGmcyPr2hf+RaPw9BwB4VoCNUJfkBpD17HiEgcM94jaIwKiLr2wVBo64pUx9ZJrH/rpcmhi7ZAoF996VUlhPyrb/Erm/iIkgLeo+ImmBnItScXR+ZBqBCpL5xTEeY2EoSTnJdYrpMGuZ+LL0G0/BA8hovR7VC7NdUBjoaYz2KXBjE+5QOVTxa+wnV8edTVe6i8jutOACoEMFFLRGkVozUVimmIBNU5KmuRKwMm6I5Y7/F17He5WK/58uOYzYYMz0958M596lnNw0cPyfOM2SRQXUfDCZJ3qL1QWY/Bg6tYWcr40fe+g3ElG8tdbuztUZYzfvHJZ5Qart6/wx1/m9/7g++FckyTEmtrzg6PMZ0JD+5e5/rtexz2av6Pv/2EqvL0Ts84Pz3j/OAFf/yH3+XOrWs8fPgpP//412xfvcofPHiPk2HF1Dm6y0ug4OS8R60023vXqW2Gqlq42oD2OEpQNRpYLlqIE4ajkr1rVzk7eUE5HZIVbXY2V+kYi3cVYjR5q8XyyhrtoouaCUpyfCyJKN7Q9oKqPP3BgN5gyNrWNm+//4C13V1e9Po8fvaY/RdP6XRb3L59i+vXb9LpLLO6uopSCucco/GQg4OX7D8/bCL93/nOdzg4OODRo0fcunWLzz77jKqqaLU1H3zwDq32Cu3lLca1YVJ6fA0SHRL1jUyy37Wv25qA+sIKnoRA09o63+d8cGKEGIX0OAmpOG5hQ0h53qGaTZQadUlsLon3SbK+oxMVmI1aWzJTY5RqamM3xbeSvxsdclzU6xAPFpwKecBpDXyNvTe/hXjPc5trHsUPpfOCrxTOY3ERzHCBOZXU8JPTHIHWpAXQKOI3B5f5Zt2grdEAWmAROAn96CQxB4JdpxrPVSWYIO3y8fzRKPW+oainT3h8BCDCi85dNlxjSmh8XlVNKGnsHFUdAIe6gYHmi66kh5YOvOCwpHGkUp/H56dwkbVqQ4peEpDVQltnOPHU1lNWNWI9dQJ0hFh1JYw952wAbhac8iZnwC9ejm+u1abLb/4WHLf5TplAqvBGlV5dGHM+Psq0RjVzRyTeq0J5CTntLrDWAjQTgjeiYh12F+3Kpmc8jroZ5xoXbao323iN3fqFzcdopDRgxgX66Rs/EsEFZaMQpibXqlFvUErhFYGmrwPY7p1GsIizOHGISmkWi+cLGh/Bdkw952I/JpARtIuC1MTqSVUdliA81Ek7Q4fAk1Ih6p5Gl1cknbLmuTToTTKbHY3oHVEAz0sMxQtKbGAhqRolI0Q5vFi0KLwOY83F8aaikz+fz5GtoFIKSEWWKU5651y7dZssMxx8/jn9/ij6aCmyH/2lBIKJoqXh9779LuIqlrptlrrLnJ2e89O//YjKCjdv3cXWhgfvv0feKYJW22zG82fPqKqKtx+8zQ9+8Ic8eviEzx8+4uT4hLOjQ1xVU89KfvC973Pzxg2ePnnCZDpjeWWV77z3HkfnI2xeQKbJdM5kPKbVLrj31gO8GOo6pRwnacRwvXnRQekc0CwtrVKOThid91laWaPT7aATgCUer4RiaQXro5qB92jnMC4Enz0epYT+aABYdq9e4dr2LdbW1hgOhpyenXJyekJ3qc29e3fZ2bnC9vYVOp0u1XDCdDJhPBpx3utx3uvxYn8fEcU//sd/xrOnT4N2lQiffPIpzllWV9f44Q+vh2BXUQQbxMeKd0qCIOrfN6JfX6rLpwjK7JdmXYSXFl9JS2UY0p7gcFvvo5CcD85lyjePrzmf4uMRnfBhWTHG0G4XZEbwdR1xU4+TBG2pOTXOhYVDeYtxNcY5Mu/R3qFsQO2MC5lyXr25Rq67tDA5Hxb1edWAJFrjo5MeIo5VSmJa6IkAEPhIA4w5v5dO6Jro/WLfR6Q9vd5cqGuMFLd4rIi0eomRgAu3oJhHT9M5g/CNcwENdlYobR7vb17GTFWhHFoAMqAkCKg1Zc5EXgMpvq64odYRaXQ1xjhy4zFSUxhPuzC0igJjND5rM6scdTXDWQvaU7uAWLroYAeBFaH2LtQfxYWJEDdf91oP/OZNmphKZE/4qBQfLC+8A+UqMu9oIiTeoHWBeANK403YAtpZmB+1q7HeRqMlKAjXgdmFTlbRf8EmImSZwRjVODy84boW02K8j076azPtm21vKun4dZq19aV5G4RunJ+LTmpVE0rcBGZGcgIkwvBzjQb91XaKDQItIpq/+sXPsSqn9IbBZEJnZZVq5qhnUwRPVZUo46nqGWtrV7h2fY9e74zNzTWqaspf/uVf8dnnh7z33Q9ZWlpipZpyfHxMNStpeUXHK9rtNmeDE/ZPjuluXiPr7LCxsclf/MVfc/LiBfV0jNbCd37vWzhX8+mnn/GtDz7k2p37/OKzx5juOi/2X2FrR2c5Yzo4Z2tri7W1NbQ2TCYVjWxTEm30jla7g/VwenbO9Vu3qKxjPBpza2ODztIKs9Ehw9GYomhjfMbq8jLWVhSm1RjKIlB48L7m/PyEk9Njlpa6vPXgBqsrq5yfDzg7Pefo8JTDgyO2Nza5d+8eN27cYGlpCaARdez3+wwGA5aWllheXmZra4ulpSX29/cbptYnn3xCt9vl9p1rrK+ts7qxQ28Q0gGsDeNaA0YbJNVL+137rTQ/dxfD7z7wqLzzjbMT/o/RU+bMN0tyblVDaXc2aYWE51r7kNdeW6LQLAvrQspWDsJ/xof9R4mQqZDmqBQxShCMzODIJmq0o/agnCA60nJZ8D99kj2jAXbftHp5H1Xkfah2UzsbrfogpFYnm4pY6z6xBWLudYoMBkCDplSvj/0wZwcmcNo165t4iWlMxIAFWAlK5E1Z3QahiJHmeF3B72iMmYX/VXxagfUlMk8z8N5Fm3Ae6PDQiB7XUccj9IME9ymqgc8daIm2URoeoa8ugK/xshb4ZSipyJQjz6DIY0qGMYjROBNsztPTAdbV8dDhgEn/jIgl1X6e1RzepRee61zbpAE7kt+5cHEyv/gLR7qw8fokCB3dcT8HCuaU/ai+HgNBGomgjSOXYGt7qRuAxyHU4qjwWAmphtZHm96n/P10LakHL21+i+PptTYf5enRNHvnpbe/HlicO5xGF6HSj/EYHYR7kah/UAcxQ+frsF4sUoAiSNEwHZL/IWnlmF+E+PSUL15Ymt1JnyoQbKVZeSQyPQNu6ON1uUZocg7Q+NDvzf0nOz/8zafnKK4JVmnRMWUiVk2QyABIIFE6rtj5sdJYF0H7kJYynk5pL62wvbnMrz76BSiDzltUwzGt1hLWVUAEC53g6hqoWd5a5cbeLuVkyNbqKiKKJ0+f8OlnD7l5+x7rG+uYYomynHF4ckhntUumDNPZhLIqeb6/T1XVtIqCzfUNnj5+wqtXB0yHQ6yreffdd1Ba0ev1uHnjFjfv3OWvPvoFxfoGz56+CqLKKvT5+sY2W1s7eK8oaxcrDnhqG8qpGxMcfeuE8aSkQnF2PmLcG/LW7Wu02y2mgz7T2YgsM4iCoruMVQYvKrK4QsqW9kBtmY0HHBy85OpGxoMH77C5tE05Kzk4OuTFi33Ozk7Z2tnh3v37bG1us9RZxRiNqyvGkxGnJ8f0z/sIwvb2Nnfv3CUzhtPTU7Iso6pKnjx5TLvTZntnm42Ndc77fcrKopTF6xxROaKyOGf/vo6+veToe4Wylz4SkaOLLyXhmYAyhHTLVLs1iNH5AAWTarI6S6RdBzJZgMVqEIt1nqoK2GXKk7LiSUUqPCEXRqlYexUh846cGcaHsl3aa7ydGwUmLsRTb+cbbGzuUkjfoal9FpHy+OUWHf+Up68u7c5RpCU6C86Fzb2+tIgFR//ii6G+7+LklEvfwwbS6EHF3SFtrvPXfJNjtthsjNgnzN6hmNV5NIDsBbFCbXQAK60ww1JFYcG0Sb2mCfA1m9YV3o3wUqGNotM1LLcMrczTaQmtItRan1bCwDlyX2OjumyZxpWErTA3OqgYW9vkQwkJCZUGlf6mWmAhxMhzzJ8S8YhWsb5zoGK1XUURF8rAxgiRAlEOJQYlBkQoTViUKusoraf2gb5fOiix1NYjkoF8cQmN30YLjn6G0ancz5tN0jfqX3wVuP8bXtflr69b0lGp19+TZSrO6TB3FRGw0BrQOO9D+RgU6AytDUbpwIb7ilNqrTAKnu2/pL2yxr/8k3/JTK/yP/8v/z8ka9HRwng8IdOGcjYjywzWOba210MEPAvrzccff0JVlfzpn/4pLlOcnp7ivefTTz/F1ZaqP8QPp2x2V3B6wsH5Cd2+p1gpUSqjqmY4F6LmO7vrWDfj5csz/ugnf0TWXefzRy/onc744O5tfvarp4gIVRWuZ3tnh6IogoNUe4wORjcSchrFO/J2l9oLx2fnqKzAoRlPK0y+QuU8g/6IaVWzsbnF+EyzvLJCNZ2Sm06joC4S5v14cs7RyQF5obl7+xq7O5v0Bn0Ojk/55OFTnj19yWxW0+12WVlZCWPUGJxznJ2dBfCjqrDWcnXvGhsbGzjnOD09ZTAYNN+3t7d599132d5Zw7Q01tYMBwNGU0+xcoV2p43KW5G98bvyer/NZv2CU+BTBqmKqUUu5o2GLx33yiR+52L9+FR3u/auEdq0eGo/T0VMbMM3LVZByTypmQenv4niN+leSUAugV/E3PIo5HbJgJ8z96She5Peln5OrkOzJoG1UCUWYaToWgu1S9V/YoABGpp8w4LykakU77uJIyQxveiwB1zApYugdoltGCKdNaEvnU/uumouPlWj8VGAT/kUQZ3fU3qePu3VeKwjiAXG5xK6NTn7CisJtBCcMzHtQrCicQuOtFygei8+RUm30/wUHM30NEJpxsxYWoWn0w56UHkRAli1D7oA4iYob8li3rfE2uUqrl1Ogv1rAe8187qFzR1fGAWLl+lJ9sq8j+ZAeYqtx+v10LDRFvP5o4aQFtWkRoQ5EsrYKiHkaXsXy/+GcrYeoaqDIr91jsp7amIgglBDJljpDXeReeHE1/vZXbARFh+Ev/RWvwAMXG4XXw92brBBjA72iNFRCyi+X8VUWS9JGNvhVWKSCAum4Wvg/FxMUZr0IMEvzN3IcojrTHqvj0qV4qVJb3AkiCppfYSo8fx2pPmWAHMl86M6n/6LvS0JvJEGVCA+hUDhTmMsgVxxJMU1hkZnITyZvChYX9/gl7/8KUWrxYf33mbkMv67/+F/JMs0k2k/6pTE4GZdkeeK61e3EV+Sa6HTanF8cMT+iwP+xZ//S87ORzx8/AjrFNYpzocDjn5+wvr6OkpriqLgxcsXTIahWk5VVpwcneIqh9aGldUVEMfB8SsevPMW2xs7vHz5ElGKm7fv8NNPPouYTPADW8USk0mFzghpVxEACf5aGKsra5vMZiVHR4fcun2D0hWUE4+3QftpWo1xlGxtb3DipiyvrzPJMpTWaPFoJxhLqKAwqTk7PqZTtNjcXKdotRmOxpwcD3n08BEnJyd4HEvLXdY3N8iKFrPKYidTzk5POT07pT84B4T7d+7T6XSYTaeMh0MODw4ZjUY8efKU7e1tbt++zZUrV5hMprTabQyKxy9esbxxk/ZSC1EmrLvyxX7Yl1oq1SVKdlAhvfSRADVdfF+kTbgU0/e+cXRdzP0IEX0VXrfEjZVgKOJplhLlqespw9GETiun22nhIpIV8pkDrcThAhAR/2lCabCgem5RnkZ0pqnDLhKBCH/hduwlyphDqAibv41GgI0bbYrGp/qyFxYyHzdYn4yHQLdfrPMKMdXhkrNc+YQyhiV+Tt1Pv4djVYkSHretUOFGLSyYQUjD+zlo4wk5fAJNRRzrhdKaQONy+oJYofZBNMhaoZYQcXbONTmTX+Tof5XQoVYzvJrgfEmmNa28RaedkWsbRRUFhca4FXQ9Q7spuXi0MojzWHERTBJyFdM2qBojQXyoEZuQ2MVF8cta6Hd/4R4uO4wBm0/3HYTXtIIsjzWcg54KXVdSuESdIn6vEIKYZXifplCWCkfpLcYFVoIVHY1Ky8y7yDT5bTr6C5Zm3DNEQGsTgQwhiV296Um/xvq4LIIXKaVwsX/9pb5/7aoWLmuxJYr2orP/VY6+COhMNZtquletQ0TAuhCFUzE9R8UHax1UVUnlhKylyQqDNhmVq/FvqKqxqEwvwP7Tx+jWKvfevsdUcv7RP/3X/OrxCR//8le0jCHTQtHSWAt5oaissL6+yvJKl9WOcPzyES9ePec73/4eRXeXw8EZN/f26JdT1rY2ePz5Q1SrxZ0bd1htdTkfHrN/csZP/+YjxtZw8633gyMcnegffOcP2Lu6xfqKRWvNk0fPefjwkPXdWyg6PHnygs5Sl5PeCegu62trANi6RiQnIf5x0cN5T9bqYr3mfDgGkyMmp/JhLR2MZ5z1h5i8zZWN60y1ZXNjneOpoEwwKkUsWiq0LRmOztDacefGTXZ3Vjg/P+fsvMfp6TkvXx4zmzmuXr3OzZs3abWC6J4xhqOjI54/f85sNuP69evs7V0FH8oDlmXJyckJ+/v7VFVFnue89957XL16lbIa0ev1GI4rJqUia62yvLxMt9vF6xb11GHfpP/wu/afrVXNPuMa0b1GMsqrubCsT5HlxLmShYh2dFg81Myp/HPHfk4zB49TabGJFOaYIqQkVJxR3kf9nbDn2DgHQqQ0OHzax7x+R1hEnQ22h3ic2Eb8NgACiaWWnO/5fg/qQrDE1ilqD0njxPoY6fY+mv0++QhNlhnMf3aNjbLgiMW+S7oiIdUyHKf2KQ1TEvey0TMIm4Q0Toj3OvZTOJryiUo8d3bDxUR0QyXnPSiB187HNNAI0jCPNKdrdfG5+hgAmru56aeUTrm4Jsd12M9z8tPflYDRkAkUBbTjV2YsihIfQ0lKFJrg5CjVqEZEP7AGFWxfPHhnsI3wXYNyNJcyZ0OFvwbbNV1rHOeN4xevVRropzmYlvAVSk2CURIcYCUNIKUkARHxs2JRcZaoJs1D0HnQOrAeMgelq+PYCiBaFceVjWOjyW650ObzqHnOl/7+JQpP8cRZAAEAAElEQVR+rx9tYf9MJRhDrrqPvqxu+muu/Bi8A0npOk6Ym9/xtdec/IWffTxfokgsvO5lrgGUoJuY09Lct08pF+Ka54uPPJ+FlIH5RSV9pyCyCETfJRxb0Sg1EDgZC7a3DwLHDoXoNNYWfY3IjknX5QUrQWR91DtiqV2wsrlD6RU//qN/wr/793/J/vPHKB21BwhVKIqixdZGh53tVbY3VthaWebzX37Ow18/4r1vf4vN7SvUcsrt+1fxXnF62kft74Motnd30Fozm03pnZ6x/2yfVmeJra0rFHmHk/KYspzyrd//FksrHW7evIGvPfvPXvHy1RHdjU3q2nJ+do6r4/rsNaJMfP5xzEW/MAwSjfOafHmd2WTM6fEBThlWt/aojg/waGo7o7ZjNta7FN1tTv0IlWnEBN2VkAoaKi5gSzJX0laKew/eYXPNMBqO6Z+MePXyhL/+6d8gSrGytsL2lR1W1teDrWA958cnHB8dUlUVe7tXuHbtOmur65z1esymU3q9Hg8ffk5Zlty4cZ0bN6+zt7fHZDIJWgweJtMxmcnITBttCpwEkb8vS0n+Uke/vCTZLyLUl0u3KVCXxOvmbU6rL8tpRJPTphUiY0o0ygRREKU86JAHrMO6T6GzQDHxNUFLz2KJG4v1YIN4gtIKoxRKZ+jMINZTlhOUhRqHcnGhFFlYcEJZs9fd1IseSe1gUlUXovcXcotj/TrXbEipeWZN2azwfusV5aUTvom6X7mF61rML1j4bvHMknEd8+KNEjKlQzkynaEU1JOUg5w+Kth6bjSFLGMV+mKBqSBxsjRvFY0j5I58lZN/uTXgykIzWEzuybOCpXbGckdjpER8KI9SexuEkSaQecvWcotZ7QKFrGWYVaHOqChFVgQUT1eBnjatwauQ3uEi0OEVKP/F9JbUrA3gTCrH+ObosCfXKlZDMShtgjiUcogOavqiQlRDfA1E8MWHsRo2owCC+bpiVo8SVEOuNEYpvDZIVYecTnHUAv4SPf3vy6Z40/N44/uINarjXBUh1K5XREfHBcDCaLTWeO+pqqpxspPjnWVZADUWcTDvG/GzhiGiAwgY8sjUhbF2uS0qVadjpZZo/Jf7J4hyXkYcXv9V66jw7BTOWrTXGGeC0A0KYzS6dpz2z1nJCjLvGQwGZJK/xp7J85zpdIpSiizLmJ5O2FxbJV+7wsOjPsvZLmvX7vDu937IR7/8DAAjjmo2YzYbURcOUY7r16+wtrZE7/gZJycHfO97H7K2usazl2ec9E44m435/MUznMCHH3yLW7tXySrHsikYz26wvLXH4//Hf0e/P+L09JR2u0VtZ+S5wroJ12/sUk0P2N9/xS9/uc/Dx+f8y3d/wrOnx4yHNbqoyXLDi6Njvv3hh1hrUTqk+hgtEQTRIAYjnqXdPazS9CczajQrG9tUk1OKzjLD8QH98YyNO9co28vcvb9FXdUstVtMnMf4oNFhpAY7oz/ts7u3wcpKm9F4SDkZ8+jRE/6///GvuXL7bbrtDt49Y3l5uQFVTk5OODs7Y3V1lfX1dVZXV8nzgumkZjSa0O/3OT095dGjR/zRH/0RH3zwAaurqwwGA7RxzGYzrHV88skjbt7/gL12m3JWUssER8bXKhHzu/aNtarZW2Nt8wWjF2KwwNnGj/SEKIzEPTIF0az3VBJLzyFxow3rW7A7HK6J/PkmUiKE/Nwgiyson+FrhcdivQXlsN6H9dCHMr8qOtJKXBRWU9hFB0W7pqqHjQ6Tk2Cg+sYxTEBFTHe0Lqh5B/MnpC/ErrEusQETvZpGiT84+8F2mufmE52RRWcj3G0AHAJlO5kgyflr6qo3LMcQ0Q+ReR2uOvafiy6uJzAaG00eH6OqEaCw3gdBOK9xLpb2ci4mxs0dfR91ilwCFCQ9neS8Jogn9N1CUsQcCGjwa0eqopDebXSopJBnQmYiHd/F0q/ior5Czc7mMuOJxdYJTIp3KDWVKnEORPJwvTaLgQeCQ5bGqHcBx0E3fq9uro0InITgVQM4xWsOMyE47Tr2gRLBEHRdcqXIdBQS9AmaiTTwmB7rJTFHBRudoiTS3KS4OEFcFipsSQC+DcGWjRcfxgkXx0+CJpSaj+PXNtt4T3Og6c2O/1zXh0YMUyI923oXxr34xv1dZD/gdcRHFqOeb2IgLPT713hdXMzj99LoDAT9qzDZnApjP+TNL+gR+dQzzH2RCIClrgopBeFam0C8kqBH5sPz81Ewo4EinePp8302t7fpLK+8fs0y71/nQ5AUDOPTJ+jeQ95/6wM+enzI1rVt8tYKf/on/5z//r//vzOZHkfQToe5Io7z3gnrG7/HUrfD5599zmQ85U//7J+Qd7s8e/WKk16f45MJJyd9RqMxf/zHP2FrazOkF2jNi5evWFle4//1P/1PPH70mPGoIs87TMsgkCe50F1b4qx/xtHBKR/97S85ODjhX/2f/s8cHxxxftIna63g0OS6xff/4Md0uyvRbnRxXoSi8JBRk6OKLp0c7KhPWTrWV3eplzcRLxwdHTAanHBtdw9TKB48uMt5VqMzi6MOa7yaUbkJtR2zLjO2V1a5trGCrc44Ph1weHjKLz/+NcposnaLvN1meXWF3qDP0soSeM1kOmFrY4O9q1cREabTKZPRiOl4TDmbcX5+zq8/+YR/+ed/zq1bt1he7jKdTJqROitn/OrXv2Jr7zo7O1epaVNZhdc63uub25dT9/2lHEQH5aXawUrxWrkqpV7PU/Up3z85+T6Ut0g/h1FoCeJLcXP1FpRCfKCChih+TWUvOgx4jy1LtLaYymF0TUZN4U1E0nXISTGmKf0HYchP6oSGf0k/IJQpeh9ZCfG0LE4lZy/Gi70X6oUcPwjO0eXyyyk2sdis0CzAEMPDPi7EPlgKzif/fX7AsJGGCIePG3xABi8+kOD8+oXfg+HjxMWSiK5xthZ2xYuLVLqzr+Ewvul9KubZh40pJmL4oKaqvEO78HNuPLlALprSKLwyeJ0xqxyVC8IxtbKUtkRjQ31VAo0qCLdF3NMTka+vvk5hHhUOJVj8hetXQCbhqWmJqLF48HW8B4lKvrGWe9oURS0oE/tmFRdtwncUIholBqez4GDmhkzVITLwNfv667Svfm4REZcFuN4HpVSrApoPDu9rlJoDB4vASOq3UH3jok7C5Sj+F13Pa1F5H+bs3GCdb6KLAMabwIzXX/OAfcMuDqGcYIh6QKq0wRyZB2bTGZPJhPZSoIuLEy7bDwlcUEphrSUzmp3tDX7+aJ/9nvDO7VXOS80f/vE/4/NPH/GLv/hfyXzJqBqwtr7M4PyYt+7s8fa79xmMzrFuxrXk9PdOefWq5uH+U54cH1Bq+PFPfsLdu3dZyVtMjnvMZjNmM8tSdw0h48X+AZXkbG1vsL29iaoy7t2/yXn/mONXj/jkk1fgNvnOh3/IjWsP+Mtf/BKt28F88jU7O1usra5RFAWFaQcGlTKhn8SAsmEO5206y2vUThhNS7ora6j6GtPqjFlvQOWEvN3B5y1KZ0I5IPFkWBCH9jMyN0UxQ613yXLBUXF8fMBHf/M3PH1+wHc+/C7X3/qQv/7oE5TKaLfb5HlOWZZkWcbdu3ebqivOOabTKb3eiOl0yng85uzsjGvXrvHDH/6QdrvdbL5FWzMaDjk67TMZTzg7O2M6myF5K0RhMQt5lr9rv41WNdu0NIJZoc33N49qotkpihww8IW9rnEsBeuDc6qjHaIRnK9BHJYoFKYiUCCg6lR7XDWCTz4J7UbhK6UDwJDFK9MQSlShcEqR6bB3I8Gmsb6OEd9EqY02gaTodUr6JjDrYwS9toHmXpMcieB025gKKIRoQcjTT0BI7JmoJ5To3y726aJJ4yII0KjK+5B2GJIdo30R+zs4e1FVP3W0DzpAidDfyHp58JLSoUJqReUC+OJENRUBwvWpeL7YDz5UroEociuqYXhJjLgpn1zOuV3n4jkh+cgLlGwfhWYlAPfGKIpMkWeC0anwXNRXUAlgCnXO24XGmZS/HL4qqUGV1F7hydBW45wBF/uqceLCRuLV3H5QPjDJVHTLVQI3ZGEfFh//EkeHCvdrlI5igMGeMuIxSoUov0SgK4oZho5w0c1WIeVBBC8a1NxVdj7ktQftAx9U3KNpnkTiQn9eZMUFBmUU7gYu0MnT8GhGH81z+aoVVQhgWcTC8OKonTCzwblDQgWIrAF35oLNF/kbMc1XGrMWJwms8Jfux6fpd/E6mMfWA1uUyOqdAzFeYvJGMgbTJxL40DBc4nEWKjYFeyPoaaiQoxqXoshAconTEeaj9aGSk4t6AUk/6E296OdXwvLyElvZLp8+/ISjnmX71georMsPfvTHfP7wE/7Df/xfYhUjHbnSQm4KPvzWu/TOTinygo1rW7TbHV4cHvHZZ484H4/4/LNn5KbDP/vn/5Td3R263TZHx8dMrGWp2+Xs9IzBoM/x0SFaFWys7XLj+jUm05wHb90FcZydnfPrzz7DasO73/4ON+/c46cffUwr62BtWCOVzvj2B99BdJuqdmQmrjsqsG2UDgwHlWUY7TG+RpTBmxbt7irOjZiVU0QcWa7wyqGNJ9M1ua7AB40HkeDwi6rIlUNnmsFxj+HwiM8/+5yHj5/y1lvvsbmzw7MXz3l1dIJoHVOQPOIdKyurFJlhbXWF4WCAq2t6vR5nZ8FO6/XO+c6HH/KjH/2IomiFQG1dMy2nTKczhtMpB4eHLG9vh3nq86DZ0gDDb25/pxz9y1EzANGCumSIa/UmJyINuuTYx+/Nz6oxqIk0iUbGJAk8RZS2vESN9d5TlkH5W6kqiC8oKLQKeUmx5rGx6rXrqmaKy37E5eYEauUWot32jZ+xtcwROiKCfammvPWyEJlY6JtLLznSghy3GR8iZXNnX2OTKnpciGJnBB0CYWHT0Fys+Rz1GRfOaUXhpQx5OxLymogb72LzqWDsN9DEK5Q3KBdK4wVAJuaURQ1YrYSWDhSdXAfgpPaKma1jlj4EgZskX5cyx0KRtzc+qK/wb0UUWunGyU/R4UWHUwNGBbp+yMkHiEwAIl1RQr86lTOnX+oQAYiLcVJOaek8bLTEMjfK4MVgNbgsPshKvYl+8ltt3nvquqJSIcLmcGhVN8DIYl8tpn+En/9+Q+eNufZeNdUu0t8vi/EBr732RjBB4jpz4TWi5RHzzt8ABmqtKauS4XDI+uZ2oMKXr9/hZDLBe09RFOEFozl8+pLaCtdvP+B8aml3CnSrzR//2T/l1acfMXr1iCLXeF+T55oPPniPyWTItOqzsZxxZWOVgxeP+duffszB8RKt1WWKomDv2hUevP0Aax3D4YhqOoVpxWhSo1pdimIJo3Pa7Q6tVgtfFty6fYcPv/M+jx9+zNOHP+edd37E6tp7iLlOu7XOsF+SZx2UrrGu4s79O6ysLGN0QTtvx+UnC5aXhPVaAdrnbGzv8vLoiF5/xOrqDkV3id6L51SjMTtr63SXVxhNg95BpkN5zEx5xFuULdFugnYzOutLTM5PeHHW49WjzxkMB3zve3/A3Xe+y/7JhP39Q6rKNmNtOp02VPugLVAxnU6ZTWdorRmNgrPvvec73/kOy8vLTCYT8jzn5OSEWTlkMO6zvLbJd797m/baLlrrkP8cgVD/2jr+u/afs73m6F9YyGOkChXd1sbWjt8XHf3oZERn3zuJ749Or48g+0IGnG8cwkRFV+AkOrZRi0hCWVfxNpRii86CisBtcPYNOpYoFuUR5/AxFc4v3IoQKPwXK/S4sP/WYV211mFdzAEXorGf1sWQsijRKUj1z0OBgnDPwWl2Te8lx8XH9TDiAg3b0EuM5vu5s9SwDDzB9pDYtxI8qFS3O7lZGo+JSt4+OX9uHnP3sUpN6lfXMDAjUI5GGmcfkEVOh4vRznhl3kUoWpoxkyKwafSomNIc3elIcZ//3sAs8bghchLkoI0Iykioomo9tdhgP/kQKUfqwJWUMF7ERxFpFhCVGKgJpelcAyKEv/pmADYjPTI3FxInECKLhJBrrz2Y1EOpTEKES+akciCCKDampIYoL/jobHokpoYEkCeVonRCYLw0rNOoDB+fRxi/c0D90vRrnOaLO6XEWXnxlfl8SFiBj8ro4U/WJagi+dIRjMCFIFgsD+xsEAVvdBmFmHoY5kYTNm/OvJilH/ri8mqTAKYEzElkOKbPNvsEb7AvGtghBX3i+PRBh8OrhUh9FPwO+f5Rk6EJAgZgwSN0ukuUZU1Zx8pUPp4lvvc10yeCTu1OGzt1TGdjbt99F2m1qSQD3eaHP/oTfvXrv+G0/whVL5NLxmw64U//7EMG58fUuubazlXsxPPixXN+9elDeuMJNcL6xgY4xfVrVxme95kMByG1wNYMhmMUntWlpbDuOkun3aLbMSwtLfPg3h0+/fxXHB2dsXvlGvcefIvBuGZ1c4eTk/9IkedUVqHFsLN7jd3tPQ5PzgFPUQSIVURwOlREEa3IMsOV9U1mpwec9wesbdyiaK1STgdUs4pukbO03GHmM+qqRGyFUmXQuVDhgWsxdFptlquaae+cQW/Aq1eHvHj+ih//6Cdcv3WH5y/2efjocRQLVKAUk8mE2tZsrK7Szgtm0wmJJlXOZoyHA1CKfr/P/ftv0e12OTvrBa0o7zk+PqQsS7prG3z/Rz9Gd1ohvdtpbCqN9SXmyFeo7r8hzPWa4TxHr5rPWfdalFyriJA16uMLUc7mu1xy6lMpNc98AjmqSyFx74Mq/vx9AfUbmyz2c8yjmtWvzTdTX57Cb2ja4zPXOC5fRJe2Na8Zf+4SJz/k6F/8XKIhzW9ovok2kzlF9BMLoqHTpfeE+7eRsucdjdiIQS4yGdLittAZXjxOlaQa5E7sBcdtfkOJffGbN/E6CpYoxAVqm0qbtaiAzDtQUcwuixMNZ5lWFb4OFoZXBjFBdkkRRPiUv0jXa3gJX+PSJQJDycl/U56+wmNUmsdpY/R465v8UQGsaCqZmw54zczZKNwY5oIQDKhmBEtkdKgAbFhPrHH7jXT7b9Q8UYROko6Ew8k8nWMxN95ae8Hhj5V6/u7njMe4+GIC3ubz8U1O/RfR/i+219cwoomIpDXl9TlfFAWCMBmPqaoqpBb513Ol0nVoramqislwiBmP2Ni4BdtXONPLZJ0u5bjk/tvv8gff/z7/6//wOSIwmYy5c/Mqt27fYDjss7fVodUWeudnfP75ZygFd27fpjcdc3R0RJ0pqqqirit85cizDCOGylYMphXlrKLTWaLb7bK6tsJy23Hn7hUGg3M8NX/0x39Eu3WNwyPLareL0R2Ggxl51karEdbW3Lh+naLVwlapzx0m1Q6WLBrCHu0LNra2eX54TH84CoizaCbTEpxneXUdEU2/32dUC91N0DFKGkSlapQtwU4pyzG98xOOnz7G1CXf+ta3uHX7HWqVsf/8IcdHp3Q73SZ9pNvthucTx2JZlozHYwaDIZ99+oSTkxOMMTx79owf/OAH1HUd8v7Pzvjss89YXmmxsb3O1s4uKltm5hxVVeGMxWKxYr8pvPN37Ws2e2Evlde/Rzq6I2nVSHRaUws/B5H64G0s0thTLfvoCzc0WVwEWpO4XMT/LEl/JwCBVgSnLKICw6lKjql4vNPhSwTRQTg4RZ3woepNcosah5TgOCI1NHvbgkPioaorPEmUVuO8icJZDu3qCIKn/UsaAb602QT6vDTWFYnGL8k9ERJzwsWuSF3SANXxWryfu2rOE8OPDuV8jL5GP9krtE9BhKBdFC7H05QmjccPW25w7sP5DCmlYSG2ET7rF60m1zjqspB6gJ9fc9J2kPRdBe0FA03qqPJJbm4OGHk8KI+JteUtoeqAx2PFx7xtBd7jVKhubHRwvFzaxL1ubLDw7ujAe0eqbx/OljbNSBNv9qnwftU41eGetdcNMxKh0Y5IcEewCQPc4IiBEych3SNwWAilbMMnUkUGhKBe34yLAOY0/bqw5V0A2dKf5sPkQvPpolJk2xP7YeF4QvMck2XskaYvfRwE4gPAhY4VMRRBuFEWUllCqBwrvmFzJIaldwv3s9DfLt6PlzTQE+Mi9Iv4ebnKpvL24nOaD2eaQ8j8vKmnJK5hYY7Z5rNN+kTq0wR8NGMk9ogTinY77K8RifAuCv+RwJoIXoiQFwVVWfLq8Iji9IDrN68zzLu0ukvMSk3lYO/6Tb7z+9/nf/+rV5TnBa7UrC+vcOPaVagrNjbXA6jpLU+fPOXk5IRidQWtDA8/f0K76NAuClaWuzhbUzuLdY7ZrALvybTm6t4Vdnd2We62EGrefXCdyXjI6vISD+6/g+hl+lPHyvoWvcGU8WiG0YZQujnjrbv3GfaGTEdj8s4SeZGTKsMLJlTuUkIrz1hdWuHlwQum0xJTtNCdZU77lqqs2VlbwnnoDwf0JlPy7XVEzzDKoJRBxGAdaGrK6Yyzk1OcHXN+PuB73/s+u7t7OEKVoWf7++RFgRJNluVkhSHPslAC0Tv65z2qumYwGLL//BU/+9nPWF5Z5fDwgLfeeovRaMx4PGI8HvHy5QtWVrps72yztLZGlWXobh70UmoXxO39G1ipC+1LHf3XaMJCLC+1+JqK+SkLn3P1a8r10hjAaaGdO+9hBYrSMXGiJAqeiwSloJkh1F7jbKodv3gCc4HG69C42oRc9ei41XWFtRevqxvzyS4c6jLF3MRF0ofFJYjDvG7mBer+5aNddDScD+jvYvMqiQctvNZsTPE/H/ur6buIWzfXqpKtE5HWQB8XAVxAkxebvXT9YTMIhsS8Fnk61+WWnN9FneGEgobflESl+XhREhHGZgwAGouhjhoMgkRqHBJoX8QFtHKWlLPo43XlJmxCtUSxDCU4p6kFDC6KLNUE6a90rUJQTJhfA/715520CRpAKi2O8T+BaBCUYVONq7fzIZ8Hkrqxx/sMhyEBWh4dSiDZecUIEOo60ssiXdMJeBUEv1xEzJNgU7puID7/xWfk5yWbvqQFw+Xr0AP8wlwLFL/KO6YOxCmMKEykS+qo4IsPys/JFbKEVAznBHVpelzOsw/obrxA5+c436UbCn0NQSU7MX80fvGNsmgOXrqnC8eKdLvFD0ZqYohoKbQ3iM9JsSyHR2tFVuQM+2NmlcWQY2L1j+DUCqKETqcdQChfMx2eMhme8uH9u3zyasb+4ye8/aMPeHYyJdMZTnJ+8o//Oc8++xW/+uxnZC3DzpWrtNsdbl7f4spGi9PDpzz+7DG1Vbzz7rcYDjf4xf/+Mb/++FP+0fUrbK6vUZcVblaR+cQCcQyH53Rahgf3bvLuhx/w8tVTVtZWuHX9OsqP+e73vo9SUz779ByjN1nfukZlYVKOQQd0uqoUWxtXUKiQU+yqYGDqJJDqGkMtU46NlWWcrZnOZiiTkbc7oILQkyjNYDzlvN/Di0NVPXSxwgRN7QXtM7QFpjNG58f0T4+pyhl3bt/hnQfvMhw5JrOK0WTC6ckpu7ttlpZWaLc7rK2tBQC4sgxHI46Pjzk7Ow0b6GjK+vom7VaLk+MT8rzg4OCAg4NXZJlhfX2V27dvsLq+ilUFZ0OL6nSwklO7kGfr3sQC+V377bWm6+eLnUeRytsFUSof1++0Kqjmo2Etj6AS0Vj2LKz1C55JjFJ6Qs5yBUG4LG7JKuU4A7jglErUGfHxq66Eckq00mtES6CICiFK36ilR+fPE9lpYZWT6BQqgg1WZIGcbK0Oa6AKe0GwT8JeYn1gxYW9KNLefaR4NumSPpoVfuF+icGAeDU+BEPiljZPKfQqUpUXvLpk0zWPSSJAPX9Oqda9+LkNY4msQlJ29cJK3vhMaa9LL8xTJX1Mg0uAgcS1X0mgZC/SwlPUXLwgQQk6OM0qCNhpFT7XRPnjyFEpOHLBfJD4bFz8OzHyrdDeobUjy2dhb5ICa4OSvY3gkFYO3UTp014YWZUL/SjN73MdglS/XkWnMfjM0TlMzrIkyGPeX/FqsS5oVDRpLERxQ5mnHYa0Dwn7sgpj3i18+WibJxNBFh5aTMCYp7xdeJjMzcPoLPvGwRcWLen5d09jQcZn1owVH+jRynNR0DLZYs35fASbwvvwAVQOYyjZ3fM1IPXv3Baf38Xclw/gTgINg+Dn/DrStVwAL+LYn0+dBQFNcY3KfbLp0zWn3ohmcmOeOaAqKzY3t3h5cEhZ1uRFTsrjD2lCKcof7qDIDdVshqst21eu8OTlCfXKEh2tQsBQBGVa/PN/8d/w7OVDngwOMJlje2uTjeUVbl3bYW2lRe+kx2efP2Y4GfOHP/w+48rxP//b/w8f/+qXvPfuB9T1jMHAYl1FWZbozOCcpa5rilbBld1t7ty+xWxSUZWWdivj/OSEb337PaaVsP+qT21WuL57jfPeEK8zRGWIKKrasXv1CoNRvxEIz3KD1C4CGyHAUitPnmk6naWYthT6wXQ6lA6cBW1yxpOSlwcn9GyHK1t3ULZCaYshVHyrXUU9GnDWO+Hw6BXltM/vfedD1jfWmFrLrLIcnZxwdHjMzpVdWp02rVaL9Y01MmOYTUIu/lnvjLIs6fXOef78GbtXdsmLgrIq0VpxdnbK+fk5o/GQleUl3nnwAK8F1W4znFoKlhCrsLamDgrqX2qNfLmj33rdEbBcfE05MJfPoNUFgT7vPeUFxn+MkF0EtELPV4GWFXTMAZVRJ3DBASUUdox82W0JWAwVxYVgXFXp1yKDkxiFvHj5F51zbWuy6ovzH/4uzTpHXVdf/UYuLsukUm6Lf5cMp5fjbwvXdykAOXvj0S9FP51D25roxoYX39DFtZ+FdA2dhRiDAycZTnT4QoFU5KofKIteQeXBCsobjGQYUWjRrOoRBQNEhIwc5VtITDNwSS1ThPryKBVQucJQI1HETet1tOQYXZLpKS1TMZ2OgFGIzOsgynfoO0SOA9YGY8WYjAuRCQkU4jk1LSCDIjGCrwWNpfCTUFJNPJULtGYvQTHf+bBYUxpUlcdtL/RtcBpTJCW8PnJLr/X1otMqQK0VpZ5DJcp7RAvi01HCRpnH7PmvbH8nP0WwkmElo9aaKdBHU+SG5WyAVmfBdvQ1dR2BPk2TOlMpT4uLm12KtC7+7msLBAc5SFEIJiXkLbSxWKwPVRccwQCxasECI2ym2n31vK1dhlvsMQ+1vTjfBI32q3imOMbUTJnMRnRWl3l63Kc3hpW1FSgHZMZgTY7TeZhKdU3hxizpMRvmhPW1ipmtefH8Ga2tNcywZpUOlTUMK9i8812u/+hf8zcHJwxGR8xosbm2zWZ3ibrf5+DxEeOB4d33/5SytPhZD6mm1OOS1XZOjqWejVnKW7S9ovBCrWrs8Sl7W4qyrPnjb13l6WrNX//1X2PK+6ytXWEwEQ5nA/6PT0/403/0b+hs3+eTJx9xWj9hqg5oyTpKXeP6lfeRStPSClyfbkcB4wv9pX1Ntz7nxkYLVY6x5QzRBlV0IGth8hYmy3h1PqAsh1zrTOme/xWSlfS4w7nfZlm1Kcox/vARavwKBqe8c/8tbt15wMgVjLAc9QeMZ1OUrllZWWZ35xrdzhqtYpnpdMpwNOD5s1c8efIEEWF9fYM//MPv4p3nZz//KXnRQSnNs+dP0BpuXrvCtWt7GFrYOuNVv+JgpOm0N9Fs4lAob9GuRHsLbHzl+Ppd+2baBQFcmK/ZEKPvYf7rBacoxemT4yTN55IoWXQdBBoFkUV7oPEtPSiNJYDgcaPAA0p0dJ5BnAbyuHeFaLp1NpTYjQ6vx4MLJe7C9Sw4y839hKpB2oXratZNCQB+NQtulNKCF4tXoQa6k1kD9ovS4MN6qlwWnHtvmrUu3EV0UBccgHmHE98nJHZls4/5xv0NvwfVwQWnTBpHxUWHJtSpidFUQEUleisBsLcNgCANyyJcWAIl0teCwx1T33z0hpoouSQcJ7qH0sRoEXExTTBUdTLiyYxC56C0x6ggbqe9Jz7ZGEUNFODkfCUH0889xOa8OrIUMg2ipoiZ4NUG4jKMq7G2Zg4OJIAiRMxDzm0IuyS9oDTmk4MbGFMSo/extCSRYeeD8GNIMEj2TLClwtMIUerah+oTzgcuZBUDWRZPpqIDKSkRglD/HYmpFWkMxXkl80cynz1JYUI3z8HLnDFDMy/dfC5KvMc4JQIGMod/5inAYU6G46gwB4gVd5oRIs3zmbNa5gBBSjdpuDRpDiw41GG+pvk5D6os4BkBKPDB3nBubn43YEgcFAl0kAsHSLn9rglcpLmYlp2kgeEi6zktTwlISSCl0opOd5nT049ZWlnlypW9WGbax0poPgjwxXOf94ao2rO9ukGnGNI7f0LWsYgKeeVeNEoXbK3d5Yff/2958fD/Rrs14sqVDa7u7nB1e4fT432eP39Kf9DnJ3/8Z1ivOD7rMx6OKGcl169fpbvUwmiNtTqQ/kSoqxnLSx1WV5ZYWurwr//1n/MX//4/8vHHH9EpMlaWdpgOxhyc9Hm6f8YP//G/YWltm1eH51S1Q+c5zgmT8ZCllVXanQ5tZfAqiLJ7cTHTx0RtpJrMaB7ce5unv/glw/4Ah2dpbaNJ33LkzGrHYDymvbaOs7PAznI1uZdgR1UT+r1jxqNzRAvvvvsOrU6L8WxK3urw5Pkzznp9vCh2r1zhwYMHdNodQKjqipOTY06Pjzk7O2H/xQuuX7/Bj37yI6z1fPzxxyCes7MTTk6PKfKcu3fusLG6zNJSm/5kysvDY8r2BsZugRQxqO55LYJ2qf2DLwT8Jpq89YuLyZubfcNnv05N7TedU3zKhf/Nm7uwiPxm7XX2wG92LPs1VKSDwJFDnAJvcbVH5SkdQwIy7QXtW6S5Fmquh8+1jKOdG/JMs66W0VZe03243N40BlJedkovsJR4LCbzaKNwLsczDdH/3JDnOeiMybRFXYfa34lpoCPSG2kjeP966knaQELd5rAhlSThIKHCUxGKNVp0Q+XC50DWbOQpuy7lVPq4kWr1egL7a4rxXqFTTdT05ef4c1jI+Ts68N9EU4jKCHXFwzNxVBGVlua+Kx+1IRaa6IuCn4mOP1eHvmg6pJaiEKnOPd6/Vu5MNSj4lzfrLxHzIyK/2GrvmdmQThEougrnLSbPMcYwnU5ZcRE1b+JA0Y1QmrK0lK6mU7QoJ4ZPP3/E3rWbrFy9x3A0oeiuolHMpjW2FP7kJz/GTV/y0V/9e/Z2NtnZWmcyPuP0xTOqsuSDD95naXWdv/rrn2IHJcfHx2glmMwwHo9pd9oYNK+evkBmFVVuQv3WkxO2t7dZXVlhY32d27dusbqyAt7x6OET/vbpzzk9XKWuavJCcXx8xHg8pChyJuMJDx58wPLSSpPWsqhhceG5okBpilabVjtn0O/hbYXGURiDtFpMy5r+YEQrK1hfWwbvGQ+HyJKnVWja4rGnU857RwwGx9y9e5frN++gTEZdOj777DMOj/u8fPWS09NT/tk//QnXr19HKcV4PKYsS/b39xkMBo3y/vb2DoqC4+MTXr58wfHRMS9fvqDTLbh//x43b13HuZrpYMJ0MmU0sii1HOaitdEni+XdvhYj5nftm2/+gpOfxKmSQxT2+cjSEYGF9MJkrqc1MvjeKkbYXl9pFlPjfCyTWyORzuwCGEmKUBOZc2Htsim6Gt60gFX6BkyYmwOycL50yuCaKrfI3Js7ABDE+JLzlWqES2QcehtdOqdR3oCPtd6bEEK4PkvYC52E/lqMypJAEz93oJr+b3Ln5w60bzyZ5NzMofIEdNs4b3QEu0M0OUbeFwMQzTnevAfgial1iVUaP92El8OYUPG7Yx6hVbomA4oMOkURcmGxWF8hzgb6voowhk9XH2i3aUwFbYJAmxUiky6B0uIDbRdFbSF3gtIhGmmyAiU53nuGw2FwADFYCVH2pL00ZyEkEOGCC9uwFiQCKbHL545rtEE8iQge+9d7Kh9YdzVhj7U+lWYMe694ITDkmLME4nmSE4qkPPzAGBVRoYRkfFoqDZM0aGX+XRonPb57wX9PAn9JOyHcz3wcEa/Gx5QQUjlvB7PSoo3QaukQbLA2sq/SRdiogxigg6a2fHLmfUQ4Yv8q8bFM5uK507ESEEH06KPuBw5nHU4FVqNXi+8NndI820t2RuPYE9OCEvYVGQCJ+RsUzOK4QMWOSqmmOt6CRMBvkbYvzXMIQGBFVdU8Pd5nc2eHcZbFseARbdDaYL3hzr33+MlP/oje4a+5dqXFaneJk4NDer0TvPP84AffJ8sMf/tXP0WZNsfHpwyHE8ajEeVsimm3Ac/BwSHT6TSUyDvv0zs7ZXV5BXE1O1trnG2vc+3qFWaTPvtPn/Orz57w+FWf7/z4z1nG8OrojM8fP2NzYx2tNLtXrrB39WpgCIogRqGNitR9Qccyg+J8yNUXTavocnR0RKvdwk0tlfMoJ2idcXp6ggd2d3cY2wpRU3LpNoLhdWWZDIecHh9xZXONbrcT1xbPx598ytHpOS9fHdLpLHHvrQdsbW9R1xXjswmCZTgcMhqNKKuK3/+D77G2tkFmMp4+3ef05Jje2SkrKytsbW1x+9Yt7t29RzkZ4mwJEQzyKqNGY61ttBu+yrX9B+/ov56f66ndV7u4Ic/8726ILVKJ56+97oT9fZv3EuoefhPHek1d4zc7lpOvHg4dbchUEHaZ2ZDXJb4iSI64iCILuetgbYURT7tQFNqjxdLKPJ2WpciEJTKk6lCW5by82hvaG8GemP+d8p+91Iie6wqIKIq8jVIqqIMXBSjDrK8ZDUvGkyk2AmEq5dCnRdRVOH+ZdRGNBhQ6IuUTAjMBL1QeSh/EbZyLdC0BT0Fy9JsjyXyxjbseudQXxrTzHusuRpWdz3B+8Rn55srCb8kg+uoSgt9kcx6qSprNqK4d1kZ6VKSKeq+YUvO6S3ixBQc/ijPGrzmQMW9VLCHlYjUMD8gl8VD1NRZACOUzF4lP3l/OBw6+wjgyQJw2eLHU1pIXRSifNxnjvQ1RP4mk25jDOZnVtJQGnXF+fszw9Izrt+8xqpcZjCd0d9ocnvVZWlul086pyzFL7Zx//S/+Cf/sRx/QqgdMBj2ODx6j6wnXr1+j3enwy48/5vS0x729m9y4cZOX52e0ihbOOfK8oH98ymA45MraBhSGpXYRypRiefroc4qi4N0H99E4nj97zuePPsW0C25cv8nK6gqDwYBPPv0lJhOyVsHRUY/bt+6TZXnUpnhdx6LpLzxeF7S7Syy1u5wdH0I1BVVSzqYoazkfTTk+PmN7Z4Pl7hLj/hTlPZkWrI68LjsDN2Nvb4/trW2qqqJ/dsh46nn+7Dl5O1Q72Nvb49133mVtbY3ZbMbp6SlnZ2f0ej02NjbY29uj2+1S15ajgwH9fp/hcEjRKlhaWua9999mZ2cDrRXTaYlHGI1GjMeOYmsLIEbhiI6+/Z2j/9tuPs3vBcfvgijVJYqwND+FSJnQgLnJyl6UxPKyuI5ebCn1LFW5SVFOb8NxHT4qYgeAIZwz4REJJJbLxKSmXdRfSY5ABIUVC3n7C45W/K2JkkIDDqRYX+ofFyPwSSfJN8CHahbJlIu8cLQLdk+Ts0+KsM/BzNAScA1N/fB4LSluKhH4dc21pDSnBMCkfWP+6UUwgXiNWojVnWKEU6KwYCOs6FBeUCoI/IZrkhD9FovRlsJAp2VotSqMErx1QWyzdmhvA2PH+ShjF++pmfMqplxEQDk+a68VuTGgfBPN1ejQr90IAsfrEq2YdZc5PutTlRanDKUoag+V91CHkSQ+COuFMeAQFQBTFe9Hiw+l/2L/hqBEcAKTI+98TLOU8Ayt81QuaQOFVBcfDZeA28abiuxWLy6CGZEhkqLL+IvPV0lIwxRIqRSJ+ZKcfEWyUKL9InG8LthECSiYgyyLo//iwAxMHoN4hRLBUzJzE0JdL9eADw1IIp7a1WgJVbhEzVMoaQIpsbSvCgBOYlYsaltJCkY4F6XFIosTh9V1YHaSqoiF91+Y/glQSeeLk90S9BMcyYhM957Sg1zjk4RqYrEcsHOI0iyvrjEYDOm0+7Tb7WBPSZr/KvaBIVOC95bxcES31WVleZu+2aaqHUiBMgaFUNawtbPF/+W//b+Szw4oZvvI6DlHr17h1ZQ7t29RljMePfoZ08mY7nLB977zbaajAdubK1TljJkEm308HLK8vMzKygrTwYB6Mqa1sc7Lp0/Y2Vyj++33MXhOeud8/utP6XY3uHN7m6WVdSal5a9/9hF5q8Osqtl/sc+f/NmfkeeG6ayO4Jo0vCOEWHYycpS95cqVq1S1pxwOQuni0Tm1t6wtLVNbYTQpWVvboNtuMemXeGYYFdNQrKcqS7yDvb2r3LmxQycTzs4O6Q0GPHn2FFN0mJUleavF7dt3yLMWnW6Hk5Njnj59zqycsLu7w7tb74Z9w8N5r8fxyRHHZyc4gWvXr/P2Ww+i1oBlVs6oygmjacl0VpGtFJRReyGkeF2YDm9s/+Ad/aTavdjqN1DdLreQY/bNRfSrr4QWvmbz8o056O4bruP8ZeUZUusWhk6mqB1klUV7qH2Fi5FsH13hzHeQypFpS0dpljuKIqvJTE1uSoyeIbOLkfk3Cae9SYht8bX0OZNBWtG9D9tIkQURRm0cRpegHBvLbagd9bTExkU8UBdTCUOhpsT6iwkPTb6WD26+eJgJoYyfBNpbiPDHXDeSwFAescAkFOTRIqi4caY4Ry7lBTPVeU91CWzwvgafNZtSyulvmAIiXznh/3O0uvaMaocxoRpFYGhEJzD9U4qp9xfuMQj2vc6c0NpccvQvzRcfnHMbhfhSqT3lLi5nKkZbvqpVHhZFND2RHbDQl94JYkNETGEQcVSupGgVZFnGdDIOiV4phUXUfAx4wXihkrB2qbwNpmZ//xi1vMqS0mgF5bQiMx7tLb6aoKoRq4Uw6vc4OHzMmnFsbqzRbrXY33/Bz37+CzrtJYwx3Llzh4evnlPbmtl0yqwVFOa3t7a4vnuV3rjHle0N7t+5xc7ODrPxEGzJ+vo6v/7VR/T7A25cvcrGW3eYjrdptVpMyyknpy8RVUdRJuHm9XsIGq3nc+9NAJ0ojdUFeXuJdrvF8ekh2s4QO6V3doKqhijfwjlhdWmFli447h9j1QizbsGW1PWUginLHc32zg7WWfq9Hq8Oezx++orHT17yvT/4EVods7u7y9bWFlVV8fLlS8bjMa1Wi7fffpuVlRWKomAwGHB6esb5ecmTJ4959eqA737327z33rvs7m5hjHB2dsxoNGQ6rHn08CVT3eXOlXuYdpuRC4yT4Oi73zn6v/W2uD+l+TmP+KbpOleqn4MAIQf28jHmHlpytKN/wtyxXHAwIvvKNW+EeZk5H2vJEx2cQElOn1+cI4tLdKPNJhdBSRVfsyo4PBEPvnjrC10Rmmbu4s8zupvyvDDPSkjRPe9J1ORwtamwGzRVkGIf+lQdCbXw+eQIRvDDJxDELzj7Czn+BLjcoy5oQF1gEcTjhfMEIcOUg55AjPC7IpPgmGol4Ax1VYdSztGp0knwjwD+a1WjtSU3nlZmaeUOo2aB1h/BBqcC+1ClHAgXyOVOxYh4pEMn5hmAit5+LEMfwU9AdFDo8Q5FFZkjOjIDMkwGkwymLkSelTeUXoNdYAq4lEIgiFiEkiS8N+eOpRBEKLEXxmSg8afyhMF5DOi3836eXgiIc4gLYRqtDFoFIUEnOgr4CYLFeBufYxCZVMzL8CUtB5UAJgkXErGxuZhdGiEL6JUwF6d7Ewvviy3m9BlFqt5lfcXMVqESgZdUHTOcN1aEURKTUURApXE6d6qVD2kxNkaKG20yCekLi8J4qWziXA8gjI06rgkqltGUaKMFxywwbdJ6JB50rOJhJdiRronAy4Vrw0nM2fegAyNVdDi3Ugqjc6qqCqX2/AK4F+etx2N8qALi/YS83SaXFv/bv/8L3v3xv0LVIBLE55yzOFvj3JSJHaLqEXXvmPOXT1nOHJubG5TllLIWPv38U8qJ49oNw7W9HfK8iBXY5qk062ur7OzsUM1m3Lx6hbfu3KJVFJwdH1BPOxjt+fUvn/Di+TPu3r3H1dvv8Otnx3Q7XYZeGE9mSJZR+ZpWt83NO3eidpVvumqethNAFxEd7G7lyVs5W1d2+fnBK4aDYzbzjMl0jHJDcj1jWlZsbbXxtkbZCq8mFFIhPkMqA1VGp1hie7VLWfUZ98ccHR3w7MUrPv30U97/8PfY2tmmGLZZXV1jNJpwcnLCq4MXtIqc7WvXWV7poo2hqsMzOjvvc9Y/58WrV3z44Xe4e+8uJs/Bw/l5j2HvjN7ZMa9OepyWGe9cfZ86rocmgXpf0X5rjv6bjMGv63hffl/tv3jaXzjn1+iAy0DCmyL63yTdPl3ZN9G+jmP+hVcgcsHJFhGUr5tNwHuPkpDbvhi1Wy4Ube2orCcTaJmMwWRG5WyoRSwarYTcBmprIY6OgaVC0coEoy1KSvAlVamw1TyPqq5rUpm0pJ79pmezWFItXXuReUSnigPpeFVEsxV1rRBt6JgWpamxWUXpQo6elizkpsXoMG6CkRpjTFODOzEIIJbw8p6RD+wSvAl0TtGgMryPgnrJ6RcgbtaZcmgtKFch4mjlmnau6OogCulccH6rqqZSwUl1zlHXNViF+AJRGi+a2qugj6BiPl+0VJT7aiDsNxk3i8+jrkO/VLVH1cFAdB60VjGSEUUWG2OBhc8TdBIWWiiNGcWsvASU+w33EkSndMMA8ICvL84HhSOXsLmplCfnXNgYFlrt58rU6Wwhr3HxXYZStYOxKMGwVLkD0awsr3DeO6SaTel016l9YMdYDCGP1lBbzbRytFsdctnk57/6D5R+hZu3dugPR7Q728zKCrEVmbIoXyHVkNODR9T9I+7sbbPRVrhqyrNnz3n04pC81WZzZ5e6rlldXWFtbY1Op0N3aYnZrOTVq1es5W2WTMFwds6zxw/JFHSKjMFgALbg1XiI8pbvfvgB21f3+Lc/+xXvvv0BW9ubfP74Ca8On+LyHt2sy8rKOlf3bqKUAepmLLypOocoRV0XdJZXyYyiGg9oa8vovMdk2Gc6PifPt1ld3WK9u0Y9nTHq93HqnO6VGmGGr0cUWc3yagvnhlRlxXRac3Jywmg04sc//hF377/H/ssTdFYgSnj58iUnJyfs7u4GgyKW1ZtMJoxGI/r9Pr3elDwvePvtt/nwOx/S6XQYDoe0Whmj0ZiXL19yethncF6xtLsWBH6yDFWpptTYm0Uef9f+s7Y37PtNLDrWJb+EzzVNXhPdbTyPRXmW+e/RkV9kS0njPguCjkZ/dKhT9JK4Rkbn/M3Xy1zoThbShpLTEy/NxWMkMCDRdt3i9UYHIpRug0RBTpnPgaU3dxbmJc8W1/F0+gBIqwsdkW5k/j0Aygk8CMedMx2CI4RIdFzVBZp2A1LL4hyKBnm6J6WioKxERzo4pwoTDFsfMH0lkGUjjKlieiDY2jE4deBDxFxEB3FUCXCP1orcaIrMUWSeQgXnVQipYOJDxR6JyEoo8de4geEe/dzRB2LEN+j3aB+cS4mgUqCfBxaB8nXElRSOCudLlFe0TBAErHyFr8Hb4IUqGzgUWo9Rpgz7YvN0haAYG5x77Q2hjLImCRn7KA7svU2jISnoAQ6T5o0N8ojGCJk2KA3dTjuOmQovnspWDCeD6PQbUA6RDBGN9TArywiwhHJ8jZyeT/MoOM+xbkVwfr1vQKw0ChIVXhac6a9qKXzgCOky3hlc3Q1lsdO88UATXHEXnMK5wP188RAUyqrwTOPYeuMFhaE59xsceK+D8y/ENYNop8a0xjgWE7CRHPpQxSACJ+IAFSuEzKPxQsRPiNejaryqQ1BTQiWipaUVjk5OEJ1T2WBvNtUA4triXajh0c4r/PScX/7sF3RayxRZm8oZJI0nV+HsFKOn+POnjIYvyesR169eZWujYDg54dXLfZ4/P+T8/Jx33/4Aj6bTWea9d9+i1WqRZxlVNWP/+XNGwyHbq8scv3jJ0ydP2FhZpjAGOxky05Ypnv5oxHd/8COWVzf4+LOn7F2/j9HCpNdjVo7A10zGY3avXuX6zRsh9UipWC0rzcXYt85hjKLV0ngskgMFjMZnGDdDrGU87OEZIgitdobyiulwSD0p6RhFQR9shi1zcvHobsnaWovDFyecHh5zdnrO0dERP/zRj7j/7nscn/XI8hwRYTAY0Ov12Nm5wu7uDsYIk+mY6axmVlX0zs8ZjieMpzNu37nL7//B91laXsa7EBCcjEccH59w8PIF08qTL++hVBvEhDlyYR394vZbcfTfFK1N5bf+rs0TSpZ95TkDbvrVx3uDY//ae0S+8ej5N9F+kxx9pVTjMCulQjmSagTMt3WFYDBkOiMvCjJj6GqHdjMUUOQ5Kgt04GlpqVyNV4FGZuwEpaYUCgol5K4mczWZWJRYbF1RWhM3i5CnX1VVc21JQTMBDIsOfkPX9x5jDFmWoVU1VyWNk7yezcIyq4IISMjPGlGoKUuFpRKP0Z48N9jKU1WOurZoY8jynCwLuf3GZJRlibOh3rGNX/VsGhBzH8oYKSma5+KcWtCbrMHXaOXINay0MpS1GF+x3G2xtlzQycPi5Fy4jnJWUdVBwb+ua2azGePSM6kclbNUVvCSoURjxUTHNGwrStRvMDK+fvPeU1U2Oj/5hbx270JEe7FZ9SYA4hLdHkX1NQT0tNfxUPPPXyIHRKTbRUMv0NfqN7AIakmCOwvtEsfW6Yxa5XgvaHHkCvJCqGZTVlZW8O4l0/GQ1eXtoKyMpnJRxAiFs56WyRkOzzh9+YrljR2667fReYus1aHyjtwolKtpGU85GnN++BxTj9nbWeXG7hrH+4/pn59xfHzE6uoad9+7TW5a0B9QTobcvHWLBw8eoJSiri337t9jNWtRD8aMB30+/sXP2dreAlvRaWV0O22897x19zbaaD79+GMy0+Xq3nUGgz4np4fMyj5ZUeG8ZWtzm1ZrGS8Vl8VBX6Pve8FqRbvVoshzqCZIOeL86CXTyYjz4ZisPeHG8ga+cvTOThFrybWAnWFMTa5risyytKQZWTg6OuLV4SnWGe7ff4sbt27T7wca/sraBtZaZrMZm5ubXL16tVlDptMp4/GY8/Nzjo9PwLUQJdy4cYOd7R3AM5vOODh4wenZMcNhn6Joc+Wt27Q2rxGqDVQo1caIRnkJQl3/ebC037UvbJfXBR+d7ZCD32TipnEYPXblFcotupUx75YFxxsahezFNn9PpNOnnGSgyeVNrsZi4u1itPoNd5LO5xff5BcuOzpAi262TQAECSSIYGjjJAdgFU/jUIX0gfl6J41TEY/TOFqCcuHewksxCu51/D04nV5SEcIYKU8Rc4kOTzyWb24k2HiNlkzjpMA8jupRqVoNBB0BFVkYhMAD1pMpS6EMLW0wSjDaQT5DmVHIuxeFlgI/1fg65Snb0B8S7JxMCbmB3GhyQxDi84GSL85HdphvStAFkTeZO6HNVcfPeA86iOKF8r/R7vTzykQNqV4ieOCDU+ZdjThDywgei3KWTGd0M42zHleHeLlugWpZMg0Kg7MtaqexTvDe4K1pUthCEYEkIahiv4fzKRcCKY6wdmXiyI0jyyHThtwoCi0YpSgKQ6EdRlm8r5nVJcMMhpJTYSJYEaqjzEqHLeuY36/j+dNgTaNf4lwJ8zVE8OdR/DhI5p/zaRR+vZbYAhaHcwbvssi8CeWaVTMvAyTgxSJSRec/6B8l5M1HnoSIQukgNi6pMoKfX5OTKG3oQ8pDcNI9oBFnUC7oOQWWhSBR5FFUWH+QGicWYjpvLeE+tLckgc4Ii0AUcA4zNAhWi1jQIR3OShCC9k6zur7B/sFRWANEUcdAi7igL+QjeugBW50yGT5la2MTae0iycl3WRgjmaKVO4bnR1RHH7OsZ2xv7bLW1Zyfv+KjX/yck7Njbty8y/3779DKlzg57WNruHnrFleu7OK9w5YVy60Wt3auUA+HtLRi/8ljbt+6SaEFMYaVlS6n/SHvf/t7iMp4+vKEqXPcunuXXHmO9h8z6B3jRVhZXmV1Y52i3Y56AhqlFbIQmGyCgQraWYZ1M8g942qI0Y7cV4zPTphNBlg/oiotN1euohHG/T7VrKRYbWNsH7FdqAsKPcGZAadnJ5yeHYUAnId33nmH3Zs3qOuas9PTpupPlmVsbW2xs7uNSLA9J9OSybTkvH/O0/1ntFstPMKD995lc2eb0tZUkynj4YiX+y8YnvfodFe4unUFtXodkQwlJoxPuTjLvqj9g6fuv6m5Bkn+4qa845vKVQ606H94jv430bTWGGNoKceKSmrxwZHVSpNnnrwQ2q2MPPfIrMS7GZnKMLlgWgZcwXhWMynroJ8gFZmpQFVkmZB7i7ZB5VanRddqtA/0veTIX3YW0kRdBCWS8Z5HxCzLsuDoJ2h1oRnJg2BL4kBacP4c7SzdzKPyjMxkGKNxNpS4s9bR7hiKlm4MEwCbqbCRuhCpr63gckVlPbPSMatdoJPXHu9NKJ/nBRGHFotSNS3t6RrY7GgKPDnQLWo62RRUhjEKpQVXKKoiw9aCKMHajKrUzGrFYGI5PhtQ1zXagCdv8svnOaG/3ebROPJLr0aK58K7yq9xcUHI8asdfTPX1/ri61Ihz1KchHQJH+oGXxbtq0k5el96ZTFKYjAYxNcoNFUdwgHtImc6GTGramrJQ31iwrjNtKG0nkp5JtOS4bTi6u09+hOHLi2bW11kBvWsxoinZYSXr/bpPX/Ee3d22Ftfxk4GjM5P2X/6hO7qFtvXbzFTOWfnA1acw1qHVoo8zzk5PkaJsHvtJmt5h960pppNaOea5XaBuArtoZqOuHHjBq1c84tf/IK//NuPWH3nx7RaXc7OppyeHbK23oFWzWQ24c7Na1wu0/ml3WVaeLFsrK8hdsbpy2eMByeU0zEozXBWM53WzEZTZkentLKczlKX/myMmBmZtggTZpMeh71DHj9+jDIt3nnvfTa3rzMp4ejoJS9fvWRlbROtNVeuXKHT6QCvrx+9Xo+nT5+ysryLd46trS0m0ymz2YjTs2NevXoOYrl27So39u6Ab9GvMyoC00Z0yn8NRNl5cdHftd9Ou0S7fwOQH+jAiW6uL7wlCIwlD3ruWS863YuxW+SiBNii25GidPMwWXRvpXFz4zl94+pduM4LF7bwfZFlkBz/5t7mH7mQakByzINTkFx1T4r+zj/b7K8LgEGTYCApyhiBTz9fF32k0YefXQQ8LnImvaS4fJSI8yEqecEOSx5z0kqIJX1DtDuCJr5Ge8EYBd5R+hLEY0RTKE1LG7Y2V/HeUpHh6CDeoZXHO8X2Vg7OMBpMmE0nhEo4YJQmNzmtzJAbyLTGiKBsjPZF0UYvlhBUjzowPgZVJAnf+chK95ECKCityUwW4q7RyW/Ez1RwAp0PAq5ApM5LvG6hiBRsbYSiZRDn8NYG5li2hMqXyFKU0gcFcxvBdGeD3XHen0RHLj5T6wM6lPpaRaFKCQBHrqCTabqtjHaRB10DV2OUwiiH1h5RwbpQxmBaOW1dUKOD3VOHalpiHSUzwJAEF1P6BhAB/zhPJDzvBIjNR5DEOdTEwBdG/uJMnbc0MlP0P+AoEuetj9MyXJFrPr84X1Xj+zf58AtukyBBjb0KzuIFNuMCSJcqbnjm0FXk/IRkmsj2UVEEo2HsqMACTQBZqhoUlPfD/YduChT/RUdfxXM6p7A+sHGVtzirEd3Ce6gmY9rtTqh4FkVCQ3ptGKNahLOjIxhOuXfrPo9ejlAqCEWiNMpZ2hksd3NefPqI4csnbN3ZY+/KJrYacfTohNo6VlbXePDgAcPRlN7peQAunGM2nbK+vs6Tx09YWVri3bffJlOG3ukJJ8dH9M9OGa2vUqytgThsXXP//n0kK/j04VN++vNfsHPtJkvdJfJWwenxK7Y21hiMp/SHQ26YDGVM1JEQiGWx09wTmY9BETCiqLVndXMFHpYM+8eoyZAsg8NXpxSZY+/aHoiinI3IjCE3mnI6JNdTjF7Cece0Kjk+eMmL/X2WOyvcvX+Pta0dajF8/uQpL18dsHf1Ou12l3a7YHl5Oajju8Acchamkxknp+ecnvRYWl6is7RC0WozHI8YD4ZMhyOePX4CwK3rN7h96w6V1xwMAhCqREX2wtcDw/6rdPT5erH6b/B8b4j4/QNpf1+/bpH2boxhqeW42+5Qzspo/JZkWUa3W5BlkOcWY4TKeaooMpYZMMbjWlmI4qsg7iICmQzRCJlW5NoFUZQaxCnEG6SORKSY45sM8mSUX87NTwyQFNEPavpB8VxEEBvyuhdbTixXYwNd2+PQeoyIQ0xQ/lcKnJvhRQXDQgtF5siUu5giQMgps6TyNY61lqW2UGqY1cKs8kzKitpDJmC9AuMQbcnE081gORc2WzVtZWmJpVA1RmYM6hZgAuXLWqhtKHlIMACUrslNgVE55dRgraMUT5WEkxYMt992C+JKl5eSJNiU3sO83v2XNHGRZv/lJ8S7OZX1i5oj1kNWwR5TxNz+y45+sNq//JQ+MvxiKojyQi6KWVVhvKLTbjEZDpjOSsiDc1hJ2PqVElrtLqPhAKUybty8w6ePPqI/0Xzru+9w1huRF8sI0G3lzEanfPzR33JvE5ZbmsMXT3CTc8rxgK31dW6//Q4velN+9cknFEWb7tISS8tLnH5yyunJKXvXr7GxtobznoPDAya9c+pqxub6Cjub62QmpOSsrKww7J/x0c+e8Ktf/pKj3pDp2gm93oDVlau8fPmMa9d2eHXepx6XvPP2OxgdIw9f3vXBVMsynHPs7Gzj65L9J58jyqJFMFnO6uYOWdZi1B8y6fXZvn2DVrvF0XQExQSvZowHp0xePuGz/YconfEHf/B99q7d4eVBD+cMh4eHHBwc8ODt98myjJWVIM43GAyimN6Y/f19jo+PsdaGv2vD+Xmfoig47/UYjvq8fPmc5ZUOe1d3uXr1CiudDc5OJ1hr0VqH/FwJKUXKBxqq/pqpZ79r31RLc/Ryv6doYTLa529Nr0EEARrXYi4jtvjmeXz84hnFX3DN5/FKISwOIT0+nk+azzSOf3NI31yrXzzBV9xx+qh/w31dPsiF3llEq+O9h6XOX/zowrGJjtMFXyvtLwvCdhdOmPrhjbckF74vQhAhdlpjcNFNDCKXLa3Z2VgFV9E/H+DqCjGhFG4rz+m0CoSgHl/V8RGIQWXgswrrpng3QssU5y218ugio1O0aedtcqWjUy4hFcnHCD42UKklCO1ZB9a6KK4b6NdKhUg5NoiwWeeRzKB1HtPUpNEPFJU0C4KNY10s9+gTcBwsyyyyDVRWk0kfZSyYkJevlAql9FwAz4Miv0W8DiliIqAtSx1HbS02OX+1QiqorUKUjrZVCIDlWsiVY6nQtDJNywiZUpgI2PvEx1Pxvr2idg7tSjwmBtwD68LiaCmhVDHtM1WCEGkyBbyP1HUW3e2ko3VpQ0lj6dIQY8Fll+Yoacamf/Hdktzki0BXM5yFYIcuOudy2dmXCMZE8EzmaTHpkhdWDxrILApipowAhQ/pID44XKLAKRdEhCUBZBEzik6+RGApVR0Sn0CwYEcpIitHhWoDSiy5q/DOIFqztbXD/tPHFO0lyDrhKsQEYIhQbrGaTcmU5saNOxy8POLwcMbKncSy1WjvMLbGn5/x4uO/ZXtNs3PjCi8Pn7P/7AmTQY+dnR1u37nFaDzh808fUpgO29t7nJ72GA3OOTs5Zmtri263Q1Vbzgc9jg8PEOD+3dusdDoBwFIZRhlOTk457p3zF3/5V0xKz6QSyqpkfHZK7+yM1eVlKieMZwM++ODbXLmyw3lvHFiaXmIq5wLQSuq/4G9UAkuryyCOz379EVKOGI8HlJXlxo1rtLvLjCczzvt9dq9cwWhNf3iO6s5o55bBeMjxyREvXjzH1jXvv/8eqytblA7G4xmff/6Q8XSKyQydbodWK8N7i7UV/fNzxuMprw4PGY1H9PrnGGVotzo8f/6ca9evMZnMGJwPePj5Q3a2tnn3nXcojEHnBZNxmN+ZT7Koc1Dqq+zX/yodfcdXC9oJ36BSPhJZBP+wWpr8f5+WJoNSCmOE3HiWdQ0dhW+38b6F1gZjksMW6Od5rql0HnLTsfi6DvFcLahWQAK19mR6hFEGI4HCZGc1fuZCGTYvSC2ImUfxFxW8F516oNETSE53XYda7caY5nfxGi3zUm1hgQ0KyM5biGkieRGi8gJk2qNUXNt1yrsUhApXhxxk3SRyJWMiUuS8x7oZmVEUOqfjDbMyw3hH7QL93DkNhaAzyLVjuRDWCkVbSjpS0pZA38c6iqId8thdjatLbBXryyeKDhbnanJVsNJtUXuhN/XUCRX3JMHi/wItJMosNs/FvHd8it181ZEShfTLm3ZJO+NL3kPM2Vv4Z93r1H0rSTjri5uTWBrQBzDCukg4rW2kOhYMeyeUVY3OgoGYooTOB4BsqbOEyJSjly8ZTadc2Xub2jmUUVSVpaUEZyv6Z6fkRrG+3GVweszLp5+z0cnoFoatq7uU5YynT5/SH4zYW1oNaSRlSVEULC0tMR6PWV1eQRWK3lmPJ598xmT0Cu8cnU6oRNHtdinLks8++4xXr16xt3eFt97b5T/t1/yH/+0vaLU2ODh4ictPqKoZILz11gMyo+cpjV/RxICvFBtra2Arnj99zOpqB1tXTK1lc2eXthcmp32qsmJ5eQmvFNVsiqpKKhnTPz3i7OVzlpeWePD2e2xtbXF+3uPk9ITh2HJ8fExd12xsrLO6uoq1tqHq93o9Xr16xcnJCVprbt26xcbGJk8fH/H8+T7D4ZDpdMjKapcHb7/N3t42S8ttZrMpx0dHHB+PKM0ya9sGrw0uokbK++AgfF12w+/aN9Tk0o9JCRsSnT6Y7Y7L0bmLnvVCZG9xqYlWu8xPQPKJL69IF34XafK0k75YA6T7BCnwuj/j/UUH+yLm8Np5Fn3vRTbTV8d03nT1Cf34ko+8hqfEHhZ5IwgA6Skk4b+0IV10h9Jziq4UBk+mY30aUWhRFNrRkQGia5bWNIKCTCOZIVMZwiRev0eZKEQWQQIvDq1rimWPLOc4HLXyWBG0c2jKmMeuo6dlGnso0WEBvI5lF+tw/GQKmJiGWnkL1jWOrNYG5+J7k6O68NB89DhDlwTFdlww2DOlIvXYolSFkjr2pwrCaF6ThA8Fj7gkr1dH/ZmaLK/RzgbbBI8uc7S05+UdxSMoRBkyLWTKkikwClQjUhd1kZRE6ylFx9N4CRVHVLxH7SFTnnYW6OTWKlx08J1P+ldJmNFf0L+IFujCGLo4vxc1YOLJI2DQzPz5dcUhKSk9sJkg80GcytYl4TzlwwNt0lkaFGxh3YiMHN+kxIQ/pSh8Onoo4TjfDxqwcAFg0BBo5j7akClb4MKxElSRXojXxvyWAlMmdqITlA02tAmUU0pvMVlGkRvqskSbzrxTk4aH90wmA65trHNy8Iyz01OuXn8AoppKH956yumY/ulztle6rHQth4cHfP7JJyy1WnTbHW7cuIqz8Otff8LLF0fcvnkvpGR76HS7ZFlGp9NGa4Wta54/f87Rq5dU0wkiws6VXXKT4RVUAg+fPOFXn37G7u4V1rZ2ef7ilH/37/4duujy8OFDyNsIQm5y9q7scXzUQ+ssRu+5EJxrxo5nLjopwtVr1/De8Xz/GXubq1gC0HDrzn2yTPPi6VMGg1Ou37iOc47xeEKRTfC2x8HBS1683MdWFT/+0Y9YXl4GBaPRmBcvDnj16iCeK1VvkFApqH/O6dkpvbM+R8fHVNZy795btDttnr94zmg0AoSzszPwjt///d9nfXUd7xxlVTGrJxycDDgZw5UdF0qcN5tEYjB8sT3yGzv6TsID+js3T8zvWnzp60XOtbUXk+mE18WgsMA07qIxX0lMyP9KyrEIVpcNpvdFTQTM10gDcIkm9VtqHsH66Nw2ZT8cjVpuzM3zqg3EfCELxs0wfkw3dywVim4udLQDYwMlpIleCVrT5K3hQStDhg4R5aqmqgdQVbS0IWvlKGXiQtxtaK6IoIyQ9F8ByAIDIOxdHqUVJsuoqipS8jXWBtG7zLSoqqoR67PWMh6P0Vo3qt81FU7CRh2uX6ioQj1TLFZCSoIuTQQ3cozJUaJjRZW4cUggoGmiUmjsW+dcpPEFlXfrPY7Qr6igSNzKLHlRgtSEHC+No8RLRW40LWNoKYPCUuMZe4X4LDxJVxJ2EIdRDtVgFlGgEAfeklGz2g7nc1LTr2fhqUvIjxOEwk3iNhAAKi8ar3QQB/SRdUEjZdC0yyM3jCjVGK9pJuUqgkzeEQq1VojMQFTUCtDU3lL5VH0gAnM+hr0WzvhaDXbhghozEGlKF1/7Oo6mFcNUJVVbQazgyZq6tqk16raLx78UrRVRGDULhqVYnBUmY0FYxnloddaY+RPG9RnLJsfWjizrMJuG8kcynbHUdZz3D3CDJ7xzQ+M6bU5GhvZSFzKYzo6R6Quql7/kgyKnW085PT/h2o07tIuczGiGdc3Tp8/55Uc/p9VdZvX6FVaAUVWz1Wmxs7JCe3UVpQznZ0OKYoX7b73PdHqVyXiAry1L+RLVYMYnnzxDtZb58A/fg3bOpHI8MFN++pf/lrIWfJZRKUe/XGJpdYda5ZyUJxS5pPBD01cJdFt4jHR8jat6XNluUbQqzvqvyLtXmdaevL3FztYDqrPnHJ732NveRdptKI/p9E7omANqhMPRGfXGNX7/zh6rG1c4H3meHY85GjiWljfZPz1jc2eND967RbedMxwN6J2fMJn2OTp5RVlPeevBPXa3b+JdxmhYMhg85qx3wsNHH7O23ubW3U1WVlbY3tlhcD6hd+I4G2vKYptRWVPMKnJT0dV5zOMWIOO/Upz8v9oml3N1JKxPKkbSgl3sUwY9zaqVgNqkYiUhP3h+jPjOGK1+zb1+0zrpL/4y17ifOxjep6tqzkASeVMQNU184/QoCfm+SWTptftf+GkRRH0thWnBuXj9sxf/MHfLWXByoqMhQUg1Mb9TSb7X9onm9blztHiC4CpF12fBaRMX9jWtPbkSWrqmpRyZEooclgpQWmNIZdAEr+OR3FzjScRHBzT0tUQjWJks7C8q0KKd900eO85H8F+BJH2Ai5FAQZNnijxvhb7wEeD3AUiqU4lXYDgaMZtVrC6vQnT5ZKFLQ5eECLjyofQeSWjWe5TSaOVDHrdSiGR4F/V2JAqxxZRVIVDqBduQ5EVZPDa+Fi3eTNBkoRqEeIyK4LMojAqgSi42pAyIb56RauYS4SLjPQZXVvAEe1D7MO6NODIdaO6Vh9o78HPJQBXtfC++EZl0klz1y4M3zct4r82Q9BFnivPIpyu6+JFk07jo+Se7NR17bsvOR7H3CwdZ8D+a1Is0JyIYMRfS9FwoUykL0fg4CtJjjnDH3OZKYEGzQizaQQszbAFM9s3/4ag+LhzOa1S1BrYfwy2KrCjodDrUdRnSYryO6Q3hGWrxZFlYKc/P+ty//4Bzt4RXOggYClhXcnp6yOzwBUuFoZUpTg+PuL63x/rqCvVswmg05vPPP+UXH/2KIu8Eunueg3i8tVzZ2aXb6dLKC8aTEa12wd61awzPeyx1OmhtwGimswlPXr7gdNDnn//5v8CK4vRsyNur2/yP/8//N+eDKeQd1rb3GE4s23vX2dzYioGWcM8prcbZwMZRUYhZ0kOWYAd22l2UKA6PjlhuG5yH9bVdblx7j6ODpwxHQ9Y310HBrC6xtqauJ7iZ4O2MjbV1ru3dx2Sa0XjEdHrOq6MejozReMz65hrvfvAO3aUOs+mEwaiPw3N6dsZsVvHWg7fZ2t5GKcXJ6Slnp6ccHR3xi5//gjt3bvPO2++w3OmS6ZzBYMJgXDKZDsm7S2SuYjoa0lpdCmPKQyr1IZcN+oX2m1sqC6jW3+1zrxvXzQG/tHn05fJ38rrTgtjghKSJ4kOptVh0BWLE0av6DTvl61ekvyLiFybtbznCE0LR8wuQFGtLiGYU0PFh01IeMrEUytLRjrWWY63j6WRBlE6MYk5ndDhnX6tw0FDTxAMWZ2eIt2Fz1g6RChFFZroXPldKySzR1pqVGRocU4K6qfcXxTSc9YhoyrKkrmustY0CfnL+2u12QO1dHT4b64Zaaiw2Uu7Dd2pBjEbEREELYT6C05IbogxzFJsIwYYv5xzKg5YWixaZUh7Jw/fwFbQOvA/Kn8aEfrbWRwoVJNG3zNbN0BcBrSI66T3e2VjjNjIcvMaID6rBPhobElBU64WMOrAD0NExSUJ90fzwsIA5z5/tpUkkhGh02lCVj0kzziPeRl0Eh1CBzPCokK6AJiwtqjHGfZqjF8R3wu1/VURKZK6i2rSvsegEIqh5/f1fB4u7vDx5D24WTBPnsNZSOxDJAUdWtDBZzqwasiwbiJhQWsaDnXo6yjAdHMJ0xDt3rnF88jMG01O2HlzhsFIUHYcrxxwfPyIfHrGXt6m946233mJpaYnhcEhZlpwOBnz6+SO++3u/h3OO9W6L7byDmoy4srmJ9p7JeExZWmaDkvvXbiMdx/7LMZPZOX5as9EpODo+4a2777J2dZdZofj42SNMu8P2xjrPnnxKfzRh98ZduhtX2Fzf4dvf+wGdpVUmZQ1YvJ2n16S5elGMD3Tt8LakXWi63YLKzbDe4dEsL23Qbq3j9BGjskK1NnDK0D95QX1+QGfNcDqzOCXs3HqL3a0ur04HvOzP+PXzU/aPenzr22uovODuvTtsbazQP+/RHw7Zf/GUk7NXrK0t8/Y799hcv4ar2xwfjjjvTXn06AlVVXFlb5vrN7bY2l6j0+5weHiIrTJsrRlManbv3SSfzBiOJ2wvb4CvI3ipo0Dr7yL6/2Xb3KRO3/zl1WTRzkj2vVxcDCQZ8CyuRXFfWNwemuYb+ntwiBaoVMn6intHqrsuC9dIcnB8MtrnW2FTiio6KhfvNp0+Agfyhr8tXLuP9/9ly51fBBWae7jUXwvXfeG0X7Qky/x+Uv+H/0POfoI9tPjgcCgoDLSMo6Mt7dyQFzpGzw06ukziCdp6srh3Bfp/o+buiTovgZ2HKHxkXykPFofWxKBD8M1UdP5CWtbcMQxlYQVldHM/1rkQaPLCzMcKPwR6v61KljrEcRgd8CZi7ONwihFnlxinAdgJJQIDvT4JbPlFSrrMHX3lPUo8vhEwDFw5LwEoSM6w1ZBJGVMPw7GdBNDdKE8WHXcTbR7VgDGE9MZmHMVIvNKoWAIuKOYHHp+RkKKJDTR3iY5zSJeLlo4E5z6dXxqH+BKosDBamr6LQawwL3TsxxiYcR5ZYH6qWCpP+UUHeg6LhanpF/aqxUH8uvZXE6yK701ghScCvvHaUlrQZcOhYRzFx+IW35GuMXW6X/ysf+1YxKdBOo6Eqk7iDd5n4KaIKpuqVUYbvC3xLo2jUILRi0ckaFo8f/qU2zdu0z8fcDwr2dgK2hTBZ66YTAbY2Yg2ltl4xJWrW1zZ3mI4GDAZDjg7POHZs33eeeddlpfWKIrAGBTg+vXrGK3RSlHXFU8eP+L3v/c9To9O8LYi1xqvhLxo8ej5E4p2wZ/8/p8yqx37r45YX9/kpDdkOh0xGAzY2luh3W6zvLbMH/74x7SLNlNfhmCdT33qg8+QxkN8BqEcbujjjf8/e3/2ZclxpfliPzNz9zNHnJgzIyPnRCaQADgVq8hidVdVVw+66hctLT1c/Y961NKLpBdpLd3uri6SRRJTIpFjzHFORJx58MFMD2bm7udEIAGSILuqLwwrEBlncDc3Nzfb397f/nZ7jVazhZAZ8yRGGUOztYbRdaKohRCCZqsJAuJ4TpZmZMmM4WiMFBn3790jDAxaZ4xGI5598ZLDk3N+8Bc/JwgC7j58wN7tPeI0pntxztnZCQcHB2xubvLxD35AoEKMgX5/wPnFBcdHxwDcunWLjY1NgiAAGRBrSJBMYsNZ95KHj7fYqlYZThNky2oGaWOfJ+kpZV/T/sWFJL5R4Mg4Ne3lazJ6+ZmwNB4fvTffLOD3r7H5RdV6E51CmXEgX1igH6YZAYKKMlSDhJpMadcDViqalaqgEti8rXjp2GX6fLn5KKwH3GEYEgRB/vpyfv3Xvab92lZqPkrvwUNKZhXok4T5fG5VLrEP8WQywWsMIDKyLF0oBej7739yA+kbmjbLmuLe82qNey24UqLN96lSqSz0webmqXzxLauBLh9/8e+iTrzWLu9N2xy/WGdkWiCloloJwCgrupPZ+r+Bxddkrk9SgJGi8AHZG3LlWVNcrYmeOaNDOt+RMgaTxQissaGcPYUUZD7CoS1DQ7hawm5Ltj7XZaea8U6pr29Xnlxz3RZ4XcvDJr93U1ItnkBbD7V1bNhcTiklXkE4ChQrjTrz2QSdJShRxWhDoCQhmkBArRJBFDIeX3J01CHcSMjmFjSnk5iW1AxGPbbaLbaidcZSsLOzQ7/fB+Dly5ecnJzw05/+FCEEb9++RQjBcDRinsyJY7vJz5KEJMlotZrM53POj89IdEKt0UCrOdP5jNW1Nu3NDcbzGc9eveV4eMHf/sN/4JN//JLhaMhsnhFFEdPpFGECHj16xHgyQSPJdEqoFkd/GegLBHGa2UdOKlbW1hj2TpklCULVqDdXCCpVolqTqNJAEzCdJZycdknShEAFJLMJK40GO5sbnJ69YTjV7O+f8uZtFx3UkEJw7949Ht25AQKOjo+47PVI0pibN29y964VxEljTeesQ+dsxGSScXFxwfvvv88HH3xArW6jqKPRmDTRjIYznn+5z2F/zvbDD2ivb/DqzT5GCJJUWxkNnPn7Delj37fvtl0Z7txJW553hX+2UMEvDGQPXPyK6+u/F98uXAdFoK8ExvNm1xWnOe8oooWr36+xDr2DKKL9/vw4R2npGwWL7B171WLf3tF+n+lZSnVYOKxY+PXu0y3bXyWPgEFY+rmwe4l0mj6RFNQiQz2CRiipqYyKAhXIoh68jw4bb8CT7wEKYaupSJveJ4wtS6UccDLGcjtJPcXe/taZcUK9phRY9w4Yd8X+AhyYt6V7bc6Y3cOL6xOOuj2PExtQcqBbSuEii8U919r+2L3ElTEG22/hNWpMXtYvF2h0dp12QRhDZm087QC78G4Py/hTjs1gm2X7GSksLV8YAjdfpc//9r4HTy93ekRWm0YW8znPEbaOgQBrX4igECEUmlzZvSzKl0qRg227e8rcoVCudCPcmFo7qoj7i9L7Uhc5/paVAMqJlGmB00SQLvrvn6eCUp1P0muBtp+3xTf9qmFMkZbn37XXUcgO+s76+SSFY8bkTrTCwVYsYwurB8V6VDyRxjlNhLelhE2btGxWA2mCFpowCIkCSRzPCbPE6j8oYZ8TIZDK0Ome8Hh3h+H5K16+fkO4cc+Nh7YMkXQOOmWzvYKajGittdi5sUWvd4ESgmG/z/HhET/6+Ic0Gyv0ByMiJYmnllE6Ho2IKpHVyhmP2dneptfr8frNayqBotFocNnrkRrNjd1daq0Wo9GYT798zjzR/OL+I04656RJTKAkQRCQzOdMpprN9U2ktKJ03q9qnC1psDjAj7HWhtTrb2hDvd5ia3Ob8bhnHXSpQVXrpEJSW1ljNLfaW/N5bAUxhSAIII6HBMrQqNUYDC5QUnB0dMQXX36JihrU6w3W1tb44IOnBMrqDZxfnDOP53z44VNqtRo3b95kMp5yetphOBwxncyYjCfcu3uPpx88JYzCPP0wM4LBZMKrt2/o94bcf/SU9fUNLnonKDeVtUs/uV7ytWj/ooC+p1698zNAIJfKh7moZvmrQmLVGEvUfbNQz+Zff7Nj4BYxk2Ej+qUfB/wbZkJNKRqRpFGFWiBoRhmNSNOoGEKRkWpNrMMr5/i60oOW/m6nT15n2oHYLNPMZ+OFz+dgu/zaNUC/8IC777ia8lmW5aDeg2gv4jedThEyw9cpLef6XwH636J6QmZ8JLvcLxcVF1YtV18DTpdBcpE3UwgOXgfywZaMXMCVGBKtreqr9nVQhS21l1odgEAp6ipEGgUJCJOSGAsqETZ2ooWx4+wL1mZWQdYbGuWm5FX6j2e5C2cUKK2deBBEygoY2jXV2JqtqSHRNqdde6qgNdNKJrRr1zy31zWx5AvIHQ/v/hr22fj9K28IYdeYhdeUZZYInIATECjQqRWarISKlWaNw94pZDEqsFGbSCnqoUDMUur1iKlJODo8ZH3jJq0be8zjOVtrDcbzmHjaZW2lwr3mNvURGOq8fv2ayWRCrVZjPB7z+PFj9vb2+Oyzz9jZ2eH8/Jx6vUWWZZycHLN1/x6q0aTZbLK3vcf0YkS9Xmc4j5mnM6rVKjrVbGxuMpiO+O+f/IbXF6dk1ZDBZMTrN28YDUcE1Xr+HLVWWty/f4dJKtlYX+Gic3l1pK8B+vMsQxmJlIrV9U0uzk+ZxRkEIc2VNkFUpdpss75zG1RG52LIeBrTXm1SCSIUgo3VNlJnDAdDXh2c8vLNKXt3P+D9H/4URMB8coPbt+8wn82p1Wo2N7G6zeZWiziZMZvNSOYB06kV7InCiLt37/Dzv/45zWad4ahDvRExGk549uw1r14cMxllVLbu0h9N2Kg2kGGFy8GISr1lnx1sLfGvWRq/b3+qdq1D0M+5Qowvf21hDS+APsbVgs8XHrs2itxWMA6Ys/QZn1fuQKeL9gmjXZ60fc849XaBXXuL5Fqdd9nr6xRuBm+o2cjTu/ItDYv1B5aH45utqOUDlgDGQnjfxx/L/7r2lKXvLI5Y8b5ldSlhCESGkoYwsCJwzUjSqkoalZCQGEmWA2Pt8syEA5/WOUOusm5TMoVV1DaOVWcAbx+ALZunDRq3n2LXKxuNN/n1m6X5YsGktGwBAdqxCXWaOXvEUu7zQReC2Xzu1k3LypPSgVVpgZh3Fhi3XhpABjmEtHPAlBzizqNTppcbpztklvZvGyXPXU8sAEWh7XvCR3etoLDw5zUOrBvv1LB9S40hdc4Qz3gwbjyNC1Xbp0aipKX1IxUuGmLTU9xP5u0hozE6c0EEB8jwsNodM7flvEPOPZeuaoE0nsVrVQQUghBy54aRNr1SZDqP+PtnzIjAjaNZjKYvU/VL8zh3D5ZAfj76JtfizCPLC+pZblrZPH5H3xeFNeRNM59aJErHXTgAIIRyXTVA6hgPLtnCpKTxHCNTVhsNgnqN004XkoRQ2YpOQtoSe8pkbG2tEo9f82b/DUGtwd0H70EgUTIlS/qYuM9KI+DDvQf03k7Rcsbg8oLhoE+9WmXQ6/Peg4fcuXOH16/fks0TpnFGIOYorTk7O+Hk7JgwjGivrHDvzl3OO11u377NeDRk2OsRpwm1Zp2oVmU0tfT9Z8+e0VrbQJuMw4N9Xr16y9rGtq0qFEZUggZ7t/ZQIkCJlMwYMu8YNfb5sNuAcPfcIB2bONWg04RmVGfcu0SHVjS7sb5J2Gihs5BKa5vUhIzHc2SW0mzWadRC0pUqUSiZTSeMBiMODvY5Ojrl0aP3uLF3n7W1DR6995idnR1G4xFSSbZ3tgiCGzQb1p4aj8cM+iMGgwHz+Zxapcqdu/f4yY9/QrPRym3iy8sLPn/2grdHp5xfDLh75z1U1CBFoQ2MJxPqUTUPJnrRy69r/7KAvo0XvfMTAIEoT337EApzzfdsKBMf0bdevu+yx/9jm8338pti5hZBB/iNBmFrPK6omFaoaFYjWvWAeiQQWUxVZoQYFJlbtCzQLwtZeDDvmzEmj7oDC7+9aJ4xmjQ1V763DHCvA/oelOcR/SQjTbM8DzgMwxzMK6XQWjObzZBKO9BZAHx/3gLog9XbWzzplei6KcRXfFPK1qbVQjs1WXPtdz2Qz2nNSiOEWXi97MwAt0EsOSC00aRO4T0XttGQZoYktfcrCAQiEM6QySBNUS6Nwj5NHug7apnReCqnxtbHLTdXtAUoebDdBiuFnWtKZYShzamshDaHUUl7rjjNCJLMlpLTwlYoEMLFvIsIQHHdhuy653apKZTzypdfu87wXH7FO71+z2Zs3mG5SYGdX8ZFE4zV7YhNhhSaSAY0qxF6PoM0IQitMRYIhdCGQBj6F11GvQtu3rwBFYM2iq21Ft1JQmhGnB5+xY92K2yur9LtHHA5u+Crt1/SbNrI/AcffMDa2hovXrxgOBwShiFra2uYWYpSijt37nLz5k10VMEgOTk5gWmGMIbPnj3j+fPP+Zu//BkPdm9zdHbC6XmHZ199xcreDjSrnHU7VCoVwBq1QgjW19fZuHGDRqPKxckQQZ0kSVHR1XVhMUdfEmc2DzQUAfXmKokRzFNDEIVUGi1EWCGqtdncuUc8OKHbPSeQFTbaG0QqpBaGNBsNOp0up2/eMJ5m/PSnP2X30Q/IghqXvSGz+RwhBPN4Tr3WZGNzE8Oc0XiAEJrZLCaeSSbTGZNJghRVPv74Y9rtNlk2RSlFv9/ns0+/YH//jAf3nnLvzhPmtU2SSg0jA5orbQ5POty6t4o00mXGfpuSjN+3P1/7FvfiGsN58W+3j/pIm7/DHljiwYhd04URIG2sVMk8Kxsr7WkdywofcTEFnvDwSliqszVRS2DzTzmtlscgP5e8+iFfB2zxg1cPecWoMs4x4LRVyvR9kRGqORWVUY8U9UBQjwT1QFIRxonQ6fw4YPPZy/XLxYJvWFsAmo+vvy6fsumF+nzmnXbRP/+bUgbFkjcZu0dJT+d3H/b7t1Jexd6eL1CBzxZwwL4YH+Pp5QjrZPenETatwOauu+i8sMo2udrsUnxKY7fyK9UhHGtVGH837Xy2IDWxe78bR+lTOw0YI3NHjnfIe6CfabuDaqw2gdbCgirtHJ4+au8QqxBWEFFJG1gTPrBhjHOIKecMcI7hAts7kFbm17jkqPyR8A44+xmFPaclKRgCBUqZ/NqM0GRS51F/g2UypHrRIWWjwD79xnemnP+v8z5In5MvSunCzoElPJDP51PhNADfT7tWGGGZFP4AwtP4jTuHP7mBwtqxENYCfe3WHCewiCadaaKoAiZDSsu2xGjSdE4lkDZIJQxGghIZzWZI5+0xe3fv0li7SVKJSE1KiM3Nr8x77N1cQZgeyIze5TlvDt7SaDSIgpCHDx/SXm1zuH/IdDSx81+7vgnB/Qf3ufPgvp3zccLxyQkmzQjDkM8//4Jf/uq3/MPf/4JKtcpFv8fhyQmfPntGvd4gCAK63S4bWxtIKcmyLP/9/vuPaLdXbcANW1kr0x4HFeuvD47ZlG1nDWqIMklFVZDapeFJyerWLv1ZhgpCHn38l0zO3zCb9miFikoQInSGICZLBFlqODg44ujolI9/8GMePHxC52LIZDJ2jj2bXlKr1oiqgbN7NTpLGQ1nnJ1e0jnrMI/nGGPYvbnH9vYOtWqN8WTEeDLk9euXXPa63L59g3/3H/49w5GBsE73csjOrT2evz3kbmMFGSibTvwNe8Y7gb4Hcb5dR7/+LpsSEF0Bfs6DJ2y+lJACldqSR0pKMq3JUu0FSYu+StBKoTMc9VkveWz/BP2X18OPP1WzJb4EmbaK7JlOiCKJCgRpZvP1lRKsBhmtQFMLjAX3wlCpS5TQQIomA1HkxZeN9itiaUCapiRJQhAEuQhXeV4EQQiVIoK9DH7937HJrqXA+4daCHe/S44FD/J9WT3vAMAZCNrlT/tyfflYSUsR88wDY0wu/HddM0Y4ip09plLlmIaLcpSi8x7A+37mFQOcV798Ht+vMtNgFqeLm7nWxHHq6PqZjUiklsIfBBGVKEIFIXGWEhioCU0YajIlqMiKpfinmnmaoHWKyVKMy3aUQhZCeuWWzDD5c2bVj7WLrEjnhJMmxaQZQTWkEkZEyqBNiskSlLFCSkJIAiNJkbaevLaLrjQ2p7DcguuG/8pr2RV3ZSgXGRACa3gtHsfAOyJj72pL/i0EBmWsgS9NhhQZIksw6ZwgVITSsNFeoX4aMuh1ebB5h3kiCaRAJYZ6JWA2mBGgWV9t8+svv+S9D1qkk5QqioPjV2yvROzttJn0LjntnvD29Ct29nYIw5Bms2mV/Ucj9vf3GQwG3L9/n0H3nM3GKodHB7y56NLeu0W0ssrNm3v0O30uT7qsN1c5Pj3l4LTLrTu36fWHHHdOuRj0+T/9X/7PfHV2yP5lh3ma8OTJE1ZXbS6+MYbLy0t++ou/I00lN3dvMp7OHSsgXjDwvQPON4PJta6kUFTqK2QoUBG1xgora5sgI0YzTaW5zmRwyXRuuLO1Q7u9zmQ4oaoCLk5POT46IpnPuXvvETcfPCCNQk7Purx48ZqVZoXxeMxOu8lwaEVvVlYrYIwtyzOZ8ObVGZ3TMe8//jHzGTQaFVtGdN7nsnfMeNzHGMM//Lt/x96t95iMMi5FA1OpM55nRPUWYW3KPDU0mzUG/RH1ZsuWUvy+/Qtoi+7Dr//M133OWeY5vRp8fWIffCt2dpfAZYxLIRS5ge8Pr10ObA6AsJ/x5T7zvGFhHQULLIQ/i/lQilx6oHXlxAXIXBzSdwH+knPdWFCFskJyoYEQSU0GhMGIajClGQQ0IkVVGSrKRuMRXsfHekVyXoVwINSAltjIl6thrx1ARAiUE4RFOD6XMYWApnDrkgabSOai3/mxivsP5Pen3KSwzn5rkwTU627dMzZVMNPazRmfsKbd+Yw/gAWNvu4roKVwigEaqV202oFwIUQRzc4hA3kQoHw/hSkx8HAeDAE+jdM4e0qAZbfiGSl2PPKccWODAhYsWfFejU2h0EaQZu41jUf4GB9gyTK0yRBIAmlLAxtt0xA9LLXfgAyJFlN8eqNxWhc+f9/utRpRvi9uynregnTPZqQEkdIE0j17jjWgTebKwdoQopHaagt554kpxPVYqKJiipHNp4TGOCFNk9tFWCaD8DPKUfJtzpp1BgqLbWRpPtl0H39NxdyzGUAlicJcd8v2SRqvW6AwRuWZB9JArbHCfNJnOhqw1W6wsbHJYDRhPp8SKUNiMqQbB22m7B8+pxZKVLXJ589f8tf//gM6w5hAz+n2jmm0oFGVxMMeL998xenJIbfv3KZerxMKxdpKm9FwyLPPPydQIR89+YDpYEyt1uDovMPp4JLLYZ8orFCVFpC++OorNjY2OD09oVZRbG/vcHF5yev9t6hKyN/93d9z3DnnuNNlOBzy4MEDhJS2Br2UDAdDtrd3SJIMIzWJ8U+Od94YMiOslpi3T4zESAgxoAWRljTCOoFWhDKCIKK+scNkZRtJSjzsMUlCzDimvVanFoSYJCUUAePhiIOjQ7qn53z89AfcvfOAfn9EkmQcnh7Q6w9yNtZ8PidO5oShwOiUy4tLIOL09IzTk2M++vgjut0ua2ttLi4uGAz7PHv2OVoniMDwD//p39Bsr9DtD6ipJlqEVBsVqq0WG1sJ4+mUSlVyNdH4ansn0P86EPSnajazKLvyGlgvl/2xipE2vup+hLkCSFMBc4DSBPhTKuKLxf/9WZrLzrHeImEF4EJpx0NIu2gEgSBUmkAZl/Nm6VSZkfnDYUU95BVA7oF0ufnSduUSeNc5hNL0KrBfptJr6yK9cl3Lke8wXJymvl9XI/GL5/CfLX1iwSGxKMpSNK8Un2krKGO0pbAtG5Hymmj0lQh/5oWbrva/GAtDvGSfag2JdvlgjrpvtM2jE9JSkXSWYFJLTQu0QealfaSLYmiU0BghbeRcCLcxWIPqOiqsnQnKPVdO5E+Qg1tpMqRObT4cgBbYmr6pE+vz25995my0xQ5dcB31dnls+HbrTrT0VSEKb7tvUknUMmL/li1QwcIJbOpClqcwSANBJDFzhU7mNCpNjNY0axVm8ykK6/SQaEyaElUFUaPKbvMe//zb/0JvnIFRhFoQRYKmTFitaC67B4xeHTOdxty6vcfe3Zs5zQvgxYsXvH79msePH5MkCfV6nfHEpsl8+PQp7733Hr3ZnNFoxOrqKlvNDca9Ae2NNv9w7+8YjEcc7r+lWq3w1z/4Gy5mI47PTtl77z4//IufcPa7EzY2NjjvDUmTFC0yanUbxU+zKYPBmFBa6nJ5ri9T942xxqjQgizOmCWZjYTLkGpjhaBSJ9ECGTVJpwm9UcJkmlGpNlEyol4RjCdTLk9O0bMZH374Ie3tPbJqldPzc7QWXFxcMBkKnj66S6PRoFpr0Ov36XZHqCDlrHPC/v4hx4c9Vls3qVVrHB7s017fZTwe89XLL5lML3n03j3u339Aq7VFFFU4G53R0waxuYaQklCGVJurnPeGqNoKIqwwmacIFf1Bc+v79l21q2uybcvrh84/veisFfl7y+KkwhntXuPIAn2DV00XuQ3ihdKKCK7lEQkLMEug2gNCLYoIntaagjL852yl8y3oF5UdHs4LIGAxf/nr++op9tIBGSkNodBEZEQYKsoQKUFNBVSVpKqsfSJE6jMs8SjMuD0vJ14XeAdfIs3qwhRBCS9Fox3rLnN/eyG0IpZrq+LY/bJwJJvcs2FfWE4tMxgHlp28WY61HSXbmwR5AMA6QHLopoVzftoJUzCDhC3LZQxKu1eFcDRvJ+1nLEMuBVJthdj8/fB7knFz2o6VT1d0KWwCK1SMd6B47Sp3n43AwmDLAtBaoLVlLdgqQzaqn2U2tTHP/nNpCVpAKjIyUhuYc8C9hJNzE1xoac8ibBAgkziHjXcE5IpI9nr8/fBXLLw+AwQIWy5Q2VJ/lm6g0UKTiRSBIHMeO69zYKdAwUbwpfesD6A8v60zqaggZfJZAm6uCxBK5loL1ukicseBd2z4soW26oYdc/tolVJ4hKsMINw8FYXWlnC2nXdBCpeCIMgIDAQiYq5CAhmjJASVCkop0tnMBmSyDClshFuS0G7XMani7cE+x6cDRpOEUCpUNiec99ncXWPSP2LWPabRanCv8YDHTx5zcdZBCUlv0OfF8y959eolH7//IRGCxPhCy4YPPviAm7u30FlGPBiRmpQHDx6RJDGrq6tEYcBgMGB/f596o86HP/gBJ50uFxcX7O3d4unTp5yfX/KjHz7l2fO3KCFJ0xQpXdTeZDbIhMMyxq+3ftKZItLtUnsiy+0hCiKm4ykikmze3yOVESasorOUiamSqhpZCmEQEaqALE4QxoJ3JQS/+PnPWV1dQwYVUh0zjWNOz87oDQeW7eX0qRCGOE4YDi45O+3y8tUBSWxYXW3TaLb48vkLtna2ieOYy96I+XzKw0f3aKxUqTcqGFKSZIwRDTKjMDIg0RKhQlJtCHSWz893tX9h1H2DWgZPwotyWAeoLT9i82OltMQkCSwHnq/b/v9na1b51FKH7bOvCJRddAMlUQrCKCBkjpR28UixQjCZnR8UJQ4FOEBeVrVfBq7lMncLVN3SRLMUuUVQfx3Qt3UxvtnAuc6R4EvrFE1j0AvHvy5nPkmSPPfYswaWWyYCJzpmc+muy6sXQEDiFk65IFC40Ff0FdaCP17eVwNzEyzMWWMMqbabvwX6bhMyVhROG+v00trm6uWK+AiSLHDCeRAKYVkFkOfrFybtNUDf5cVJ5yjSyjFDsLU7PeAPhHCsAAv6lA0FoI2tM26c91kiUcY+20HJGP665sfzm1pFyCszZ/nYUkEUfrMmw9Umrsw5T8nzppk0hkogoV7lotND6IwoUKyvtnhz1EHohFBWkAhqzQoiHiHRvHn1HCUEH//gL9na2GE00tQCyfZKhbVGRDI4IUmn3Lh1i3orJI5jqtUqaZry5s0b9vf3bY3VtTWq1Sr9UZeqdqklBmazGVEUMZnGNOpNekdd3rx6RW84YOfOTZ6/esm93T0eP3zEydkpr96+JcWwst62pV4uL/nZz37GP//uM0azKY36KmCYzaakwtNALbX/yqgtRPQVqbaG8Xw0ZjCakBmJCEJaa+sElSpxpgmiBlk8I8kUmQkIwho6M8ynY87PztBJzL29W9y6tUPUbHMySLi8uKS+tk2v32Pv5ha7u7sEOmY+mlCv16lUG3QvDun1emDgr/7qr7h7+wMGvZTDw0O2bzSZzvqA4P79e9y9e4dARUwmCf24x2AwYBKE1LBK1xmCerPFUXef6mRGtdFiOp3RrFb/gLn1fftumln6gUUTXeSfAh+Bs6/4aLF7wzk+HUDKoXmh2Gyhka28I7yAmtGWiosoQTV/aoOWTh7Jn8a+bKOqiLxkXVn9++v0cP74tjhGpR6VfhZkxCgAv0NnogAuy/tGzpYXYkE7RQlNIDJCaRzQT4mUIRS27BsIYm0145VQyMzlMQtHxdcsOOYXzqtxeyhFFB1B5lXQjSHNaeMWmhlRuu/53XX57y6Kqo0FWrhLFuaq897T9xFWbb/oncvBdwrf3pFjI+Gecm37IAFM5mjaji8nLKbL3H4qPRbH2x/WSZQBiXOAGDf+ygiU8X+7A+F/LPleaHtBltCg/NUXTgjnXPEg3lYgLNluLkiktSHTwlGnBUaT6/RkWWb7W5pawojStQgbDHDg1aeyCHc+nbsgMryOgCyy4S1ghzyoYEUIBUpaIb48xOD0B1SelOCcKd6GKjmAvA1sx85pZBjppnzhpBPe6YVwAoaWdeABvBRurci1EhzQd1pZQvgovin0yK4zYtxadOUZdefOyyy69ELPLpIqRIURkiHz6Yhqq4nGMBkPiAJBanwqA4QKWs06J6/7NOpVfvbzj7gcjGk2mlSE5qNHtxj195GVlMl4yK3dXVqtBtPZlFqtzngwoNs54+jokH/4u7+lXV8hEpCpgPlkQpamDAYDBqMByoWOVlfbnJ91eft2n/F4yr379+gPB9y+c4dbd2/T7V3yev8N83TOB0+fMpmM6XS6PH78hMPjC6aTMWkqCUKFDCRJmjnKvk9QyROr8rXCQG7DSwyhDEnSmItul9lwQmutzdrajrX5jSAjgkqbqLbOTFYJpE1HmE7G9PoD4iRhY32dx/cfkBpBf5LSPe9Rbbbonp+zsrZCpRKhlLDMFqERQWhLeStFpVLhw4+e2jz+0YjhaMTJ2RlGa1ZWmty5s8fOzhaVesA0mTGdpMznMzv3tWW9pKkhiqqcHtpqB/PZ3DG4v779iwL65LeqaJbhZMGKctR9KUwudCKMq2eaJgvf01JaS/9/6mbsZiGdN9vR34TzioeRolKJkDrEkJIKL+pm82etuJylhkkEVX0VKF8Hurxx4iPuV9M5BEoFBa2xFIEvv/ZttRGXwfN1wn6IDGOyBcfCFaCPdXSUc/zL1+Nb4jZTrTN0Zjfq5T4IDFViW8akVHHgarWBjExc7b8fjyzL0AZiwtxP7L6Yb7a559xyEdE6JReEMnYjlFK4+ruQZAk481SJIKfraZxGTnGKpTF0hpZ/1oQgk86wxYF8Y0sPKpk5oG+jIVIodA6CXQkelKPeOSeei3y9q0kpCIJvBvrRknjhdWMvcNoFv3cTBQcyb/4m2N8CTRanNGoVzpKYi/MuN29ss7G2ylcv34DOCEIb0Z5Pp8TTAXI8JIlnvPfwIQeThPksQScxzShEtGq0ahGjGTRvbrEi28ziMf1+H6UUnU6H4XDIT3/6U1ZWVvjtb3/L7du3CcOQyaDPbDolGQ44Pj6mublJVKlz3u3SOT5hMplwcXFBrVGn/fABd3du8ur1a067HV7vv2VISpykXPR7jMZjdnd3+eL5S14fvUXW21QqVWvcCW1TX3RKcmWem6XR0qQOYAzGE4aTqRVmUgEr7TWiSp041YAijJqsb95kHPcxWjIcjumfd8jihFs7O+ze3iOORwzPL9g/7XF+MaK1eZNGo8HTp0+p1+sk44QwDOkPhzz78kuG4wvu37/D9o9uoEST06MuL746Icsyjo6OqNYUDx7d5dbeBiqwtXeNNvR6l9jyOiuIqGqfzVQjwiq1RpPReEpUX0EGEUH4zU7K79ufq3kw68H+siVRLoFlFqJtBdS2n/OiaDaiLxyg99DQ/9u9LsnF+DzkN8I6XS2o9+5Xt46bQtTrf0jLHR7CdaIM9kvv5VPb5GDtnYd1Tg+fq+yDL1WRUCUmkJpAGAIhCIRVy9ZGEmeZHessQApDmDlxV20wOrU1sbl6fmn8PipyEGyEdWYjtKMnFwDZi1bhAVs+SxzQdCCwgL2F42NhpTPFEFobo/RWmQ1pX7ABD7cfWmDpx9PbTxIhA6R0+6QB6WjuBdHDMwBdWV5R0OmLCLggUna/tbfPdVSk+Kiwv0dCCKv5YzJbeteE+a03RlhghCbTvpSxt1ecDaGxNrcD+h7EGmGVzYV71rTTsRDuOXL8FzTY4JTrv79wIWw6qqfkC8etlCVHlXB6BhKbF29F+byzznFUTeF486X8pLu30jsBpOu7dFJexhHvja964Jx00gkuYPUFvHOo+NEunUM5BoaL5pfmmHcjFHPFOhJycc58hfDPUsGItO+V7CHh0xrc/COvp4BSkjAICJRkPpsg2yusrLR4+eoF0+kIFUY2lULY7xy+fUsoYKO9xnAypdaqIIMQpSfo+Yg7N7aYDrtsrK0jheTi4oL5bIZJMw4PDhiOBvziF7+gWanQP+0SmwSTJMyThCxNSOdTjo+O2Lu5R5Kk7J8dMB6MGA6GHB6f8+T9x7RaKzSadfr9Pi9evODg4JDUGCbTMZcXlsm4s7XDowcPeXvcIRUVGvUa4/EAgirG2KBkls8SUYriO8eVMKSZdg4myaDXY3B5STWqUKvUiaIqRii0UWQEyKhFWFtFhzUwkiSOmU2njEcj1tbW2N7ZZtC7JDOKg7Mer9/u8+GPfwJK8ZO/+Auq1QiEZeIORwPOTk84Oznl/sNH7N66h1IV4jTl1Zs3DCdjLi4u2NzaZHt7m0YzAjKS+Yw4jplM5qRJigrt8YRUaA2VSpVWa4Wzs1N2tneYzWa8q72bul96wPL/GxcKLk3a5USmUoZJPo+vK5sn3MQtjuLE5UrHt7VF7fMmhUYIiZI+Z9galGBI0yRfCsB6loxQ5Hn5ywq86Cv9/rpmN+VvZ9R9Y3nAb9u+hSHgwZ4UpdIsLhIrpSBSkoqjFBnja6n7xdwpjgqnhgtk2ntundlkrLpquUnnCQaKWp3XIMZAKUufkwKjXf6W0RhdpAjERuelcxau2T2gfuNM0uvA2uL98Aw7L6SnjaW5lz8msBR8u6FYwY7r7moqlfUna18KR+ee7fLYB9LlvZki2ptd8f7r0oJumy6Nrdba5dwtm6XO2DGOIeFc0ML1C13QSL2Kq48+2VrlwqroOvVor/Isc0+xvgJm7QZiNy4hNEWeqvOyC2/gysIw8lpE+dwq6UgbVyPYnUbmStbFDcljcO7fUrmavN/QVPm7bsSu3Eth2Q+/f7vuKfb0OmM3FzRpGhPVLQi+7PXY3t6kXm9ijGQ6mdJqtxFCU6uHqKBKvz/j0cMHnHTPOBvBg0cRDRUgzJSAmHQ+J5km1KNVjk86HB68oloLMRhmsxk/+/nPEQKeff4F9ajC2f4hIRI9HDNKY37w8UesbG4xzjLGwxGv3rxms7lOmzW2LzfZ3txg0h/x9uCI0+NTfvv5Z4ySGdHGCv3LPuk85en773NwfMJae5VmvUEoFSvNFaIgIp5rMuFlFeUiWLmy5AtSNErCeDyxehNGoGREtdaCsEKcSDItCCp12ju7qPiCWI9JJhOm84S19TW2trfIspTpZMZZ/4K3b8+4mBpuZxm3bt3i7t07DIcDaso+173LS9JU8+DBI27t7aJkyP5+h94wZjKfMUtmNFeafPDBQ27uttF6wmQ6ZDKOGU81X744JIpW2dyuoMKAJNUkqRUt3Vhrc3Z+CVlMNQhdtuP/7M7kfzmtcMiWJpswS6hZuD8NPmJZzr23QuE+hcl/wxvk3lR0EXup3N5agIp8nXKMKn8cIdwKIfzqWqxrtsxbaU+D/O+lq1lof7gvoLwWvuvowuNISp0tkGwpFUrkquRLn6XYH2xKpcVFyjlBIlKqzJxIlVVFtww454gx2HxxASKz667QXvxNOCE+59R2n7dOE2FTz0vg1V+WB3t2jP3rdsBzccDc22IKIOodGg7QFdL+i46PK/OrdE7tmY7uXuscIJsC7Lt+CYHNKTcZWtvxtHn2hsV90W60qbYyY1lOaM9773LAi7QJpCntYt5BbUsP5uKFWKo+JrARAL+3OXp7lmnLanSH8FazHTaXVujetNFvO3cM3gthbWzlU0PcsPthle54Cvu3di/Y94x7topAQ+EUcCk1jingsz+1uy/ehWdvvQsu+HmE1VnImQTOwnGyDtZx4J5z6QNhEoRQLjXQ21Mes1i2j3SeGZEDfYPP4/DXUG5iwRa6bl1btm/Kn3V9zl/zdwaQAhUGFmwbw/rGOlIIut0O2zd38YwlaQzVqMLm1hbPP/kc0djl6aOfEKgQEQtu7mxxcfaS+WTI2mqbg4N9Tk6Paa+ukMaW1fvTv/wp0+mYN2/eIMZz5pnAZIK0EjKL5zzcfcxKe50wCLkc9Xj96jX3794nXk9YbzdYXW2T6YzReMxx54xPP/uMwXjCxvYOn37yGffvP2RzY4f9/WM2NjZ4fXhGWA1othqMRiOqzcCyZURx+UaY/Jk3zqnhRfswdj53zrsIBY1WHaEkQVQhV9DUEiEVQVShUqmRpQnxPMEYQ6vVZG29Tb0acnHWIc4kXz5/Q68/wQhJe32d9z94wnQ6cWU1FZcXFxaM7+ywublFGNU4OT1nMp2xf3DIdD6j2Wry3qP3aLUaZNkUIa0WRJymjEYzjKoQVep+4uQMknZ7lYuLC+L57Ko+1VJ7J9APlctyz6k7GuNLOuCMe1lFi8WybDrzi0UxN6t6fu2UlaKgUYdaE+osL0kihY1Si9JDgwYpXV5zZvOYUyOIlUILlfsAtZHo+XUPSgl4fTvsjs3G++Z8TClm/DHbc7kF5pu7p9DIIMkXzcAYqkJSCSWhsH/LeI4WCZnUblGyyuHzSZxHta1iPsR49Sx39Gsi51UUoQjy717n6bdCd9bD5JclrW0uuQeMCBAicoDaU9idQeY2lSxzeXhB7crxr0TONRjtjG53/BSu3I7Ev1ZaG6/039Ua1XlpOwEEC4aOwLJKhBAkGmSqr1+cC7d83jIndFY0yTwNFz5nr3ERpGbG1rV1Xym+vZSKkKny9wyQWooTxVdtyZ/FxUEp6bzJLooCBAtdkAjsfDG6kADJsB5+W7c2K6V12M0sXx2uAd3KsSEWUyne7SxztjPL4yqWlP3slv+H5VEv98AIQeJci0qESJMRRBX6cQq1NvF0zCCRhJUV2mt3+O1nz/irn7dRMiOVc4JoytZum97Jcz57fcjswX+iGyS0gwtUMCdMupztHxPIGhcB/PrL54TZmPubt+mNhtz94DFxACdv9pn3R6yLiPn5kCiqcKSqzGKDFDWIDXo2pzcdUV+rc5kN+a/P/pEPbm3QEDN6kxEvXp5xdDJAVnepRjEBcLO1zaN7d0lO+wTJjPVqjboI2G6uIacQJhXCWBOqiJGARDUX03BggSmjMUziCZVIcN7pUiGkJuo0auuYaJVh0KQfNEgTGEqoNXcw2wM6F18RioCgUUM0akxMwrQ/oHd8wcuDEwapYm3nFmEY8YMffshqu8Hp/nOmgw6kgixTPHnvKTs395gmKWe9Aa9Ohqxt7nBpDrn74/e4/+Etak1JEo9Ip2OmwynnlzP++csDPnnV4eOf/ltutDYw8YSKlNQiiRQz1loBs7MetTHU6w0YGOD2HzS/vm9/THMLuBex8pjMQxsh8mB1vlaUlgZv+BcuySJqKDEERhMoWxINgQssOKBfQANrNDvQ6OOTHuR7qrjGR/JL2NKBrKuuyVJH37n5i683M0rfUzko/brPCtcPvxn6L5dp3+DTGwrgWAIbjt0kpXGMB4XCEJASCo0iRovMic+BUSCUAWkRne+BMlidGWwkXhvjBN6sI0C6wZMUfhvhQJwSFr4I4wXl3D0x5THWbtg88LPXbHBI0SgwGiFU4YG5NoVMYETm3UY52LcBEadJk/tKCpYA4Cj8Xj/AOSgAL8pmAaTJ5xLG0viNzpxbxf5fC6sB4QNQ0hn+8yQjVDagI7RnCxhnv1qnQ+wZdsIr7TuE7YX4XPqjyVLXZ9Cl++4V+vEsTSxzBb8fu/ltA0nSPSPeGVo4QIT7vPSeMQG+KlAeAXfpgj6yL4R0YN4GMKwCv3dQOJvJdSN/DHIHUNFH/17O2XDIXRiNNCq/J8KXaRblgElxfK/XI7zTKvf44J4VjzWKPggK++r6h/g6w1Qsvu3tZD9SxlYWmM5ifMWqw8Mj1tdXkUJwc/cG5xddtm7s5OhX6IztzQ2yTp/5ZMT6WsR0kmBqAVUDvYsLzo6OWF9r8OyLZ1ycnyOUQGsYj8bcvn2bJE3pdrvMZnNaSjG87GGEZDaTzNKYarWCNIb+uWUC3Ni+wdHRMa9evWRjc5NGo8FZ54znL15w2u1QrdVRlRqNRouNtU32bu5xfn7JzvY2h0cdAqV4/4P3WVldIag2SY3jaCyUU/PPiMiHKhMSjUKSMhr36J53ERIm0zHb9dtsb28zkwrtStcpBLVajfr6OnF/H0UCEmqNKlkaM7yc0j075qjT47gz5r0f/hVRpcqHHz0lTWN6vR5xPOfy/JxWq8Xf/PXf2ACkEFxeWtYkSFqtBrf2bvKXf/GTXCBcSEWcThhNLvnlP/+OT7845C//6j/z/vtbCBXYqmEStJCEyjqZ7Dx9d8DhnUA/TayqsKdaSwFRFDpvqVu8rpmwC3k/kN+EbwKuUimCoFIC/4LMiZUtHN9tnJn2Nc9L3ka3wZrl3f3bdOBrmo+cf4sP/sHnWGj5YvEtTinsjZfut98F8/+MzRUxOsvL0XlA5QFzvvAuRZ49XavcMrdR+DHPc5cWum+ugEh5zeAIYR0FXtxGclVgD8TVvPdrgL6l3n43bIo0y8hwkXyneB+EwUJAQyBI0gApBfod+f7XzQmj5ZUlPq/pe+XLpc+Y67QJyO+p/8mWHG3XpWAIIbi2u+XXrszD8pvXfPCadg0e/8b2rT/+DR+83iP+RzQHEHxL0pRaKGk2G+yfd5hOpwRRg2ajSbc3II5jKhXLYJnP54wuL3jz4gVPn35Md2sPncTEekZ/dMnsosv21gbj4ZDPvnjG9tYGD249IctiVCWiWq3y+Wef8eLzZ+w22jSiphXLM9CdjVjb2KDWqIMQpDpjpdViksw52+/w8N4D3ru7xZu3b/jtb1+wtn6Xj3/wMYfHXU66J9y4scmHTz+kvdKgN53zqHmPmdaoRpO9Bx/SateYxUPi1IIbrULnBFvU31gobSlsVCaez5hNJwgMUaBAZ66OtMsbFdJphmToNGU6HNJWKWutFs1mjclszMnJMQdf7TPTiu3bD1i7fZtWq0VUDel0OmitaTQa1KIG7fYWlWqD8WTMJM7o9/s0mk2yLGNlZYUn7z9hdVUhdUK/3+Py7JTexYDj7oizsyEPHzxi7/ZtcIZl2QFljGFrc5NOp0Oj0SAMvxfj+3M26fVkys5AlxYlvAFbAsG58Y2n7bslw5jc2+yVygUumocTkcPVGxdOW8QUa+Pyku7Bu3H2pgf3FtSZnF5ejuIXR1jYVNxfogAg1zXD9XtN/ib5+l+mCxeDIsqfzh0fVy9O5J1a+EzJuZ8zGpwN4UtrBSIlIHORXpVXORZKkTlNIYWVhZNG2xKxBe3BAfzM0e8d3dsNrgRHtTYL6RUeSCMKwG0v10Fk4+24ku2DQJpShNf4G13EYL3Ql712e2NtJL84lm+W+UduLxontpgJYytEIVw+sbQRYu3F/WxIOWcuOPTrRXjJmXICg7bgxTlglHRcM2mPZ3PXpT2ukRgCV2KXfK0Wxta1l0Y4p4R391g7SrjQvRaFO8yOBQvzWEqJL59baDmI/DmwdobO0xQMBcgvfAPuuVbkRMPCleTsb2kPHfjnGVxqjHeqONtUWLaqzM8j887mt7Y09/0bAp+aY/Pd7dy253Irhe2HXUAK4O9+pLt+m45qEL7MtQ+e5ZoQC2e+vomv/eNKKwdVPFtIKCd0iJ2Pdl/2TE4QLhVjPp3SOzvjo6cf0L75ARdCkdqcF/rnHfZu3eDs5IjO2RntdpsbN3foD/o8ePAAKeDw9IjfffoJ680W7ZV1p81kb4gMFa1mi2q9yXg0YWpsWe4ojLh9+zYrrRbd7jmffvoZK2trfPjRR3zx1XPSyZR6vcn/8r/8HwmCkErlCFCkWjFOYPPmbfvcK9BJkbrjGa9FFN8U/8apr2jLWk6zFKRGKMt6RRSSj5bhbH/LICBOM5RIiCrWBtA6ZRZP+OzT3xHWV3nw4DHbN3cJKhVaEZx1Tq2DTqesrbXZ3tmhVq0wnc4xSM46HWQQsb6xThBV+PijH6BkiDEZKgw5Pj7m4Og5vWGXONG8/+RD2itbCBEglUQoi/SFlFSaTYwxvH75igcPHxKG4bVzBL4B6JssQQqJCmwpO+lK2vkSZlpr61VZKtPlRbp+/2aVUEvKe2iTXBUzM1aEJTWGVEOKQAuFQbnfV4HUH9MWGAXvbN/lWb+5CUGuVWDphaB1ynyekknr+ZUCZGg3E6AoW+cM1+uA45WTlFqsbe6tlFYddhnQ519b+lsbk+fb+ZYK43LhLUX+OrCrDSR6UX/hOqCfZdeX6vtDmpWB8WJ5lskiZDGGthNAFhbsE6nyDWyhiZTlEm/LY2MQzuhY+uo1xtzXvebBfFkDofz+txG4+779ns3YeVur1534zJBao21rvO4fMJtNCVQVExhGwyEXxyc8efKEJIiYjAaErTWSwYxqNeTe4/c423/BwdtX7N7Y4fH7H3B68BLhvMv7+/scn5ygpKLRaKDnttpFZgyqEhHVq/QGfbIhBLUK8+mMt/tv6fUvWd/c5MVXL4gnEx49esS9+x/TOZ9wePgbpsmEtbX3aDQbDIZ9VjbqtNc2UY0qH/ykSmvjFpdjzXDaw6gq6IxMNtGmYPz4Z9EbHRb0CwIpmI3HTIYDFIZKFNpIUZZAlmBIgMgJWgmCICCez9EVGwUaj0ccnx5zcnyMlJKf/uSnpJUmsyDK04bGkzmtRp2VapNaWCdJYTqbIaXi4uKMt2/3ufvgETKosHMjo9VqMZ9fMk9mDM7PefPqFRfnfW7cesR//Pivkc0bZNGKBflKLTjQjDGsrq5ydnZGHMfUarV3To/v23fbglzrxDjrPis5py3sw/jMVhdNFdrFbf3OYtx6nKPAHEzgqM/CvSeMEzArnaGE+CwEMJ6S7Smjwok6+airzOs5o0Vpf1sEUK5nf5AFce13FpySpSPnr+cEZ/e6f+MatqMRpZe8N6KAwYVwmNeQtw4S6dXFTZEVLx1ksmrlNoqKjyILSxfPxeuMsCw2UeRZB/7WO9QWahvlMBi0LDRoDNb+MUsMNWkyex8y8mi71qkrb1cAVJvmKPzJckeBjdzb8m0+T0PrLKe4S3yQqegjws6FxCnNZw5YS2GBvzUrsmJY81QTz07wc9UBelG+tVZNXQir1ZSKzOW5SxecCwowbihEKQ1kosg1J08scOEyBwyNx+/GTx1TzATh7WzvqLDvCeF1/d2/hcwDQmXzRZdmBP46hRfBdFcvynUrTP6cLj8rPoUCbPqkcQGpwulTSqPwQBDhovUWaxjs5DG5DYWz+ayzwq81nt4vipOD+7x0I5nfzPymush+3mmRz8t3t+uAvqWhe2eTBpdyEqCkolKtk2Wai94lzWaD9voaz559yepZl42bu2BgPp1y+Po1f/neIwanZ1x0u0xW1mjUQ4xIuLW7zeXZa7pnZ9y9c5fdW7v0+z0iaYWej46O+Off/RopDM16k0AG1FTEPNPMdMaNvT1GoxHjyYx6tUkUVni9/4owCJnP58i1Nq/fvOXxk/d59Pgxnzz7nMOjI2RQ4elHW4zHU4yZUq03kCLkg6cb7D14wlxbxvZkOiPWAZbXbNCofH7b595xKoRztgJCS+bjCcPBBYiMMFLUajVG4zG6mlkHALb8tlAhKqyRydBWnlKS1GguOx0uj/dZa6/ww7/8G87TKqlwmj5mRu/8mHa7TXu1RSAVWZKRJVYD6fKyT5pmCJ1gtObO3h1qtSpKCYb9MZfnE04OD3n+7Bm3793iJz/+KUG0TZKtY2QAQYAIFCqw16oMNCoR25sbmCQmqla+dha9E+hHytamDkNbL10qhRTCllgTmiTVlqa/NGGLbKT8hW/VMmOYZ66WqLJrpC9xVj6YcF6c1AgSA5kRkFP3bW54sYB9N00u1xy/punrnsk/YROCXIDP5yopcB51l1soIYhCpBIL0anpdJoD5kJVfnE6eGG2cssyT1cyKGUQuvDQ+maMIUsXaztqo68B+rg8vBJgWLpl1iv3zar7qeZqfvwf2EQoETLE1p7VYDSpdw3mnQCdRAX7RPmI/jLQV7Akxiel39yKg2Vmsvi1JbAOEAT2ObzSX7F4b69z3nxdKcLv2x/ewjAknk+oBJKoUmE4HLC+MWNlpUGmNbPZnHotJE1T2u02K/Iece+AX/36n0gfNLm3XiMShkBozs86nB6+ZWu9zZ179xkOeiRxTBSFXPYuOTo+Zmdnh5vvPyW7HNH96i3VVHPe69GrK97b+oDWWpvesM90OiXJUnY2t9ja3LT15OM+t+7fZ33jNsNRzD/+4z/y/PlXtNaaTKZTzs8vmE56VNsVhtM+qYgJaw2m6ZjL0ZRJGrC6foN5MiPTFTJTPIdF9LDsXJIEQjOejJiNB9TIqIbSgnxtgT4ixRCQaU0QBtSbTQZRRKMZYMycs84Z3W6XMAz58MdPuXn3Hl8enEFgNQsm0zH1akAUCcJQoIKA2TwhTmLmScbZWcdWIahEzBMb0U/ihMHggsH5GdPeOdVqlSePd7h1931kc4u35xOisEW9XiNOsytMGYDNzU3G4zFra2v/Q+bd/15bGJQpr4ZCWdxBTBcx1drkQE2LzAFLUYjxeTCfHwsW1m0X4bUBW+1o1kU52vImlUNc43tly55pRyvVxgGIHBgsWiVXU4S+KYZX+mz5OPmXLNTwlGYbfSwBTyiB+uIzpbpwpeM4vaS8R2LpOwUwtOwcX/7Ygnjl/8ZaFsr927lkrM6KRdCOrm/7YO+jhc0GgXHpc6Z026Ub0BSrYWOkBXKuSroz9sH4vdcNrDRWu8dktjSfBf+mSLEo3ROd5wg4JkDOVtIuym7HxeayZxisRk7hxLEg0le6SYwmNThHgCyiwsLB3XwqFmDa3iZnWxiXUw/5HM3vjDG2Xj0FKBcopIiQMsA48UkvBmjy82gEKUJkFOkbpadDlHxD3qlmk9b9FaKEvR6Etg4G4wE5zgEgr7VncvFK41TsRfGclCtZeFtJOCeT8ZT98rT0l5PfO8fO8H4NT0PIL8Y5IvKr1e6sGq974J8LmaMZn5RTnLZwyRTPyfXuOzdGy8/UlYd92SYrzYOFD/tjeB6zc+woG/hbaa/R6XapVCqE1SppponjFIlEmowkSdjZ3qR/ecFvfvUrbj/+Gzb22pgUyBIms0vSZE67vcr21pZVdo9jpBBMxmPOOx0++vAjtrc3OX79hrOzM9RoznCe0A00q3u3kEFAmhqOjo5AG/Zu79Htdmi3V+l0O9x/cJ+NzU3evn3Ll8++5OSkQ63VYjyZcX5xSZZmtNfWSU3CPEmZpTBKDJN4ig6qRLUVW6VH+BLOPmFCWueOW8O1W2eUwY7DfIKRGTISiECQpAl4AXLlAnoygLCKiOpoaauonBzuc7z/ilYg+MHHH7K6tsrJ2QQTBIzncypmzlp7lYpjvevMpqHPZnMuzi84PesSp5rNbau4X61WieOUWTqje3ZKPJ8Sz8b8zV//nKgWUas2SExkdROiiCwMEA7HGaPROkEKaFRDTDonks3lyZS3dwL9ehSigkJVXPgZ5/NjhLAPv0nxdH6bEXR1Tn6Taqsx1hM3N9gFUFtvnskXxuJgynnjMieyoIUEocgc0Ld5WBrFIti8ToVdym/2Q9hNaZk+bsfCeintTJpjSnvpnw71F1FbDSJFKkUYKCpKEChJKJzCrXRiJba+2QK9PAiCnJlho/sgRWWBzm8cuDXGA0XnHXWUL+NqeuosWxhEY8yVcg+WiucjH+5+C3vvtNukjLlGwV+AdGPvAUUZpPp/pyJEi2DxhKX+XAdGio95T7QXVwpABBhprJKsMaRLk8QeJ3K5gQKRyXzlt55g6cSa5BWgb65Yc+Zaav2VEm/XbJbl1/0xritHuAzqrysZeCX9wOByMBfPdZUdYK6co1yasUztLvf3j3lGrrumP/aYv2+T0tZ1rQQhtWqVwaBPnCQElRqVKKLf77O11cZkM2bzGSpNef78S27duk2ys01FQbtZg/mY/vkZa6stVpoNhr0Lev0htWqFo5NjTi+67N7a5e6dOzz/5DM6L/cZH52x22jTGwwwK5uIakRvPKRWr9MKAobjMefdLvv7+2xsbHBn7xZRtUK32+XFyw6Hh0fE8Ryt6/QuLzk+OmJtrU5/MkIlKUen5/TGRxx0hoyTkM2b96msbBDVW+hM5QINPtK9XOVC64xQaeLZGJPGCJNSCxWB0Oh4hjQpobRzUCl736rVKu12m8nwgOn8glG/T7vd5t7de+yu3eD04oKLiwt2n+wymExorjbZ3l4nNFNEOmE+nzGdxpycddk/OObwtMPOrdtorTk9PaW9ts5oPGJweWlVd4XgwcOH3NzeJdYVRqUUsSyzjIlllkySJKytrfHixQuSJFmeEt+3P2GrhEtA3/1YUK/RNvBCpouIXYaBzAIdiaYoEVe0At741IDCrM/zcF2AwZ+d3LntUZXJ9YG8iJwVwJV4r0GZr5b3/prl6hrXwzubFoJMlPqGKqUgmBLs9M3/y/fIcO3ZjCpezx+NAvzakcvAMd5sYEEQKBskCoREoVFCEkgIHMtHCJuup0TpkMLCfwMgA6uQjT2FsSHY4uzCOPaewJGBnCPHg/NibD0Iywnx7jp0Zo/hVeHzSD4u597fK+dM8qDRGKss709g7VCnNW+EWxbtPPJ15LWT7UyNreXt+QVetE2apSQz46Ljxmvm4OxMl6ALmJwGby9SYiOZdlp60bkAjULIgBwYenzp5qyd5QqMZ8e4ZwookLPLk889LY5VIIQTtityz63jpGTD5TbQdbPZqz6U93Fnp+W/3Vga/4rFIb5M5cLRXPeMV/Q39nu2G14PofRZ6zUoXnPjKVzlBuFEiXHOwrJ2sREWf7gvLvX+65omZxMtf/HrWn5Ad/9M6TVTdiC438baZ+32Gl8+P+bW7i0CFVKrNZnNY5LUVmHIkoQkSXj16g279x8QbjcZTPdpV0PS2RnxfEAUSNorK2RZxsHBAQJNkiSMhgO2tra5//ABv/3NrzjeP0SOY/RoxvlkTLC7RXtrm1qzyXg0pdaoMRmNGY76nHc73Lhxg/v37lKr1zk6POTNwQEvXryke35BG0l/OOKk0yEMImSlQrVSZzCe8fqwwzQRJIRUVzbYvb2NISrYNwj3XHg3kR0WaQSBkURa0xsMMTrDyBQtM+v4kiADgVDW3kcYtBQQVYhW1jCxpj++YBYn3Nq7zXt3b7KzvcEgzsiUJFWCSZpSFbDaagHWwZmkGePRhOFwzNHBEaedc6r1Fvfu1jk/v0CpgF63QzIfM+z3EGT86OOPWNtokAK9MVwMJrQ2biIrITK0q6I2trKFF92sVwIuLy4wyR8I9KuhIAisknuWWaEHJRUB2griBfaCZEZOcf46QKWF+pqH3c9Zq7JqCBYnM9dszO4cWkgb7S2BfC/Ip6555JZBisGrZb5rFEBqTbR0PB/J8rRtKSAxi2rd19Wh/2ObNzyVK6WiTYIQgigKqVVChEkhs/VZpbRlf5QKFmjnxhgqlQLUW3AtCWSDLLPevjRNF3LUvfo8SiKUdJ5Bu9jGyVW2g2D5fhuMlI5CZUXl7P0L7P7jcDJZtjjSxqCzeAHE+ZJ+C04JZb1wZQq7Ty/xQn/G6Cubgz2FyCn4QkpSI7HadYJcVXvpa8LYe1BMVe89tpufcuUdhbIU4HKzVOXFzS0KoiuPxzJg/6bm55oVV/wOAK8xV5XyuQqotSHfBH2fy7Tuctkhf2++VtPgW3ft+uf7z9nSLMtZFtValfPzDmmSEceajY0Nzi8vENwlSRICY+h0u+zu3qLe3uQ8EGTxlEnax8x7tOpVqkLRu+jw5s0BszRjY3OT2WxKs9nk5s2bnJ+fc3x8wujyEpmlZFmKwbD38B439m7R7XZQgctiTFNOj46RmeHJ/YfIcMrr/dccHvZ4/eaCk9MTptM5lUmFTqdDv9+nVg+4OOty594jRrOMf/zl7/ji5TH3n/yIH/7sIUFlhVniYh/fkApidIo0KcPLcwKRkc0ntGoR1UaVeDpmBUMtCkgTqIYBemadYe12m7Pzl4wvL1mpV7l75y4rKysMh0POzy9yB+J4MmH75ra9D2lKoDXJPOXVq1e8frNPVG3w8OEDmu0NtNZ0u12SNCPJUsz8nL2dHe7v7rCx0kKnMB6OedM543Iecmd9zzJnlnVGnFPDOwD6/T6w/V1Pq+/b17RQlYC+AykeqBphoy7aCKR2qVwIMBKjlav8UsCHvLkIoXEAQjvBrwLcm9yM9pje4jMH1xyYy4GqkK5Kig9QlNDsAlAo/XDVBBELNtB1zb9ZzFEtwIt/GQrz31PlxYJ/2RG1TTmFQBRejHLfTRmclEG+FxzLLKtQ2tJ4UtkSqaEAhUIhiCQ52JdeVMhxJHxU1zpKFMool2dr89t93rP9sI25pq60ngWWFqxZ7O2h43Ls1ffeXkumwWhPyXda5KZwBJj8hltnhk/nKOdDO16BYwMIa884sEWe224rHvmUgsxdde5TFCzNL5dXL8Cg8go3EuXW3EKqruwk0ljJvYUZ7vdp6UbZ2YDCfdee1/bXR7Dz5BJRODqssz9zv91DIAUIZfOZwQFY6WjtOp9G4G2F6+tRCV9u0DEW7He8603mc9HDeh/0EwvPljtWPkUFxmR41oFxDh3/pEgsUC/PcVPqp3CVq5C2moB/bqRzzFiM4YxWnLOmpGVQ8CH8NfyxGMD33Pd3yTFisH0xyj6rJiUMI7sOaZBhwPr6Jp3uOTdupQQRpGnC+LLH7Zu3CdorHFYSbq6OUEkPsnNCZed0rz+g0+lweXnJja0tppMJ9XqDe/fug9akccZ0PCfIYJ4auuMpjze2aK606Y8maK1Z3VjHaM2rly+YTidsbK4zj2NevvyK0XjM2/23nHY6zOcJSMXx6Rl7/T47N27y+s1bbt3a47w/5n/7r/+Nbn/Kjb1H/Nt/eIJUdav/gbv+pQCSHymJpGokFQP9zhkYjRaaoBJgJMTxnKbEAn2TWkeeNMhKhZXNLY5fnjLqj2k0V7i1tUa1ETEYjdg/HzGmxc72JucnJ9zf3oQksalEUmJSzdHBIS9evqLeXGX35i5r65tMxiNODvfZ2txk0B2TpHMePLjHzZ1twkCjjCFONb3+lMOzjCf3fkgqI0IjEU7jCHTB4g6sE3s06gFb186gdwJ9RYYyTgTFeRFCZfMDMvz+JpBSFQrlLkq8nLevxbcBLSVq0rs/hucO6CWQn6Gs2qe4bln5w5oVjFmKyjqhGOFIfUJKAhXacfHshj81NVrY+2JIybQgzWzhFWGS0mbiIs560WhVSuVROLvIKoQIco+mdVIkmMwB86zIPQTLuFDKfi41heCJ7dc1UV93z7TRzj8sMCK4SstfLhNhNGS2QkAYhgSBLeeXJIl1PDmBwUwEGBEggwAVKKRUZPO53aiF9VYbL8RR7pawKuGW26PcBhbCN81XY69nYasRljZlDU9towtS58ZHcY2L80Lgv1fu158XtF7fBGFwdRyWWRdKKqsIWmrXRTu9c6wc4Q+CwjlTFj3719CMMYRhSBiG1Ko1kiQlSRLa1SrttTUuB33G4zG1QDCbz6lUKuy0tnm5f4qsP6Ia1lit1mhETZLLPmfHB1yed0En3NzaYhInbG5u0mivkiQJn3/+OePxiNlshpzNOJ9dMJ3Pmfcv+fyrL8nihNaDFs1mE9KMZDLjzt5tIiRv9ve5vLykWq2xtbVF5eUxWk8ZjUZcXFwgpODVqzcMLvp0LjIOTi9IdZWf/+I/sHXrEatre0wSQaolYbjs9rzahAwgiTk/O7YRnjRhbWWdaqvBbDpCkVEJBONEO0kW6zxESibjMVEU8eDBfW7u3uTy4oLBZZ/f/va3bN59hBCC3d1dWq0WSTJh2u8Tjy84envMaJzw8NEjdm7cIqo3mSQpr98e8PbNW/YMtNfXuL33kJsbbdZbdUwSE8cJs9mM46Mj6pv3abaaNmKzPM+VIsusqOn6+jqDweBPN7m+b1eaKunkGFzkhQKb4sTIhLDpbGCfUenzdJE5DdeXmi1H1zwI1ICnt+cAz8eMcrxeosgLL9Xlqv3ggxEydwiUUZnxwmg5OC2xCjyOznt1ffP9McLaZUH+qgN1QqKEUxA39qBlIOSvGOEE2HxHFsCx+4LwTIgS2L/yg9v/QClhf7AR/QBpUwgFLopv7QctPHA0zqemIIerXt/AFCJ7xoKPzGSkxouuiQVwa0SRYGFfsyhNOLvSq3H7Sgj5qOXA3dsy7sf4G1I4aqS3URxjw2g7jlIIjLF2lRf0shFjl6qn/VwkZ1rkjh5jVegM0h7DOwmEjVIirePRQ15hiuu2rcghz+GgL68rs3zOC4daffJgEaX2egq4SSjzz/qSfd75ZT0SLpKfpyHa1BhpDFLL3FFQ5pJI70fKHUju4N4h4HH9UnBPLMxZPyX9M1fMSPs5ex+LygzuNVMECME4jQh7Qi0BYYXZDBJfDRDp1wD8jMwtPuvgKAB4UarZFGN0pf1+Nt2io7BgdvjrJR8Xu5hoAA2ZzlAyJAorpEmGrCpq1SqT8dQew62J25sbrMiYz9+8JHz/PpHUjC667FYVMtWcHJ1yft5jMByytbmJVJLtnR1Wmi06nQ77r9+QpCmZkaTANFCkUYSSIV99+YI4y7h7/x6VepX2epuz/3bCj374Q1baK3zyye84P78gTjK2tneovDpEmw5ZZrjo9ck0fP7FF/ZZCgKOT/usbWzy/g8eUmttsbGxgxERGa5Up7T3Q+es3MJ5powkNIIgyRBpSmaMzatfW0MGNjWydScjwtrsmdQEUlGRVZhMODu/ZKu1wg+e3KcZCbqnb+n1uhx3egTbdSbzMdVahJKCZBYzT2OSJObt/iEXvR5bOzt8+PGPSZOUyThmMOgzHY1hfY1KFLK3t8P6epsgsE6a6WRGtz/mrDMmFRsYFaIRZIY8hSjXwRMGdEoYSNCL2Kbc3gn0hQOyLtvN5gFlNtJrtBUkEcbmfLj6ZmA0ts70798KCsa7PpT/r8jJR+YgXzuBkO9Seswrw5ab1RBQDijaSHCmQlIsoEnTooTan5TGL60XKs0MSSJdLdvUCq0Ytz9nNh9suS1EXDVWFTbTJIkhTTNLgczInTjGCGKtMdouyso63N06WlyjQBCgFtc1ZyxpIUo/8uqiruTC14TRRJUqQaAWgL50opB5VF/USEVURIqFQCjniRYuH87lkC2cTwinZCkQyuWTyZBvUx9byEUwK4UkCEQRwTYW6Eu5OHdETl/w4wXSGWX5cP0rAbvAtWkGy6kBZTZGOaq//POvSjvAGKSy9P1arUalEjEcDtnY0ayurCKEYDQas7rTZDbI2NzY4JNf/X+YJHD3SUCzXqEuUoIMznvnHO2/pdmo8d6jB0ynMSKE1fUNeuMhr/ff8vLlS0ItII4J05S3RyeEK01+/qMfsre7SzKZQab55S9/Sb97TrVSYWdjk6O3+xx3j2lttFlt7zIcHXJ+fo4UIXEcEycJn37yKUfHh9y68RhVgdFY8Oi9H/M3/+4/Mzc1RnNBtVJnniq0iVHq3fdICoiHE0aDHnVl4dPd27fozTRHnVP20jnVKEPOpMsrdMBEKaq1Gnd3tlhdXeX09IROp8sXv/6Mf/zv/8w/7NxmfX0dE1UYDock0z7j/jndo9cEhHz88cfc2rvDaDLj9cERMqrx4sULev0eP9z4MU8//JD1FY2Ip4xGY/R8SpoYRuMpWmvq9TqBCpimaRGtWrjlhjRNabVaTKfTP9XM+r5d13Sc/9OU9jPjVJNzfKZNbm77GuyUDHEcRCiA/iI0RHgQaN+z4mmlFKYcIIqcAi3y4IOm0CLOCoBf7q8D0UXUc+HsC1D76yyHoi92j6vVFJXIypZb7QxDkqakmd9LDK5iee6tKMBReQjM0m+PzvynPYIyC8NWps/aqKIbFyPySLDBai5J1wdjMsvCENoOkxLW0PbivEaSpZCmhnKl2SxzpXe1y5l2jpZrbT7hbCSfauouxYo+W8p+Dp4cKM+vzwFaS4W37Ehbbs3u4dLpLyjjqj85cE7+t0tFMBYUB6I0fm58LJNAOyeWTf+wZrlFm16tvkgrtIyV8swQuLryZNbOMxRUdVtKwp21qDGfX6J/zf3bmk4CLRzN3EdJPXjO02GdLWXymewMQbd/G+9Qs04nk1922T1hXEU9UUzExWmVz0R/n8v3dfnJtc9TWevA+j60A4GF2Jf/jE+xEM4pYoG+D3T58fadtwF9UZx82aYWprQIlTpa+vdiGvLX7aE+ncA/U8u0Y5GPiTfANWC0DcQJIZBhhdbKKgdHJ3zw/hor7XWCIKLT6XDz5jrNeo26qnD25jXn3VP25AOqUnL/wUPS8xM6Z284ODxkpbXCew/vU61a+r1CMOj1OTs94dPPvqDZaHJ03CHTUF9ZwaiIjz78IetbW8yyhKha4dNPPuXZp5/QqEasr7f59a//CYTk9t27IBSffPYl/UGf1dUN3rw9ZBwbvvrqNSenx2zvbDOezhmOEvbuf8Df/8N/pNuLQUQgIhtklpDljhnn3CrdEmUUQWbon55xcXJKr99D1WFtawehFG9ev+HO078gIAMhyRREMqRiKgx6Kds7u2w0FEqGjIZ9zs97fPnsS3797Cs+/NsW9/5qhVBrgjhlMBoxm03pnJ8zGY94dP8BD548JTWK7ukpWZxytH9E5/SUB/du8/iDp1Qim+arpGA8ntHvX9AfzRkOp6zceWiFAGPrbJXaIDIN2jGujUaiqUW1d+LMdwN9HG3HeRKMzojTGKNtvWwremOrbFrQaF/zi8Xv2+wi8A0QXRQLi1fN9DkZfrNZUCX9LpqxY1FuHnRKYYXYpJAkUjk1V/MHXf8f2jlb+9SQplhNFBdN9oF2YzTL2Mk7Ijy93RiFSYOcuu+Fp5bL8KVoSwdyAhVSXgVmUkpbL7e0OBX5iSL/saq2i+NkN7XSsYSkGQV5X/xPFEWLqt9RnVRWSFPrZNFpZj3hSljLQGiEFIRLked8JgkbTbS/FVK889Gw3zGzxb4rgwwlOvPPgvOyy6XxUctifCAJF8fLXK0s8Odv1lhkCbAvU/evE1+ERXq31pooiq5E7/3n/M//+Gv+/ZrWhvFsQjUMWV1d5bLXYzKeEDWagGE8HpPEFarVKm/ffoUQktt7u2Bsntxo1md+esh555SN9Ta3bt5gFqdMJyOqKxtMpxOePXvGLIn5+OOPefH5M3rjLsFoDsaws7PDPE344vmXJJMZzbDCyckJ/bMuHzx6TO/8gmF/wNMPPkBUAp5/dcRnn32GlIJKtcbrgzdUmwH/5b8cU280uXOrSau1w+hFl1Zzm8kEMqUIggZShShnuEv57modwmim4xHCGEIpMYHi3t3b/NPvntE565LEMSuBtilGws0B9wze2NlBBXOGwyGdbpfXr15xeHjIv/23/4bbt4u69aPRiMvuKY1Qc+fOXdqtNuvrNxhPJhwcHDMcjti6uUK73eYv/mKLDz/8kNbqClnShTRjPp3Q73Y4Oz3n+GyIbG4TRqFjpZkrQD+OLbNoNptRqVTY2rqeJvd9+9O0NC1H9HE52Usq6cY7nt2Po9uKHNE6J8FCbu7V5g3tKxvnwoeKLxsPeMSi09t/bmG9FP41pwbt3pIOdAqHxb82qzD/vsjrfkckVqvCieqkgKCCQJEay35YtK0sOM6J/h7EXJcz4MZrcXCEA8A2FJRTFJBgXPoCNtKpTYY2mQ0ZebYgll2nfcqFss5ijSHJMhtcyDRZBkliHDHC3l8v7GuMIa+xJIp874XH1nH6bVBG5ONmMlO87cCZ3fOlY+CZ4vteRd7te54xKI0T/jMG5YMdzvjMkFbA1x4ZCUhTYpT49FMt3CfsaCVIEhHZ+enOL02KJMup9rYs8eJ9Ehgb1XMBnlwY2PF7/fMidPE9WxXB2vY29iCwooo2ECHUksVmLA3auPQJ/Hj7586xFcpqFMbN61yvZ6HX0gfgyWn74qpAZeHU8vnzXGkL09ONE/jrukZ/CCwrwAWFjHtu84iwKJQdZP6vxfMUfTPLL5T+MMsvfiM2EfmJRHEI/07JIVL+Qp6W5NT4pdMti+M4TzFUgSB1wnOBFOy/ec3w9Qve/+FTkkAis4xRb8So0+H4+ITbt2+zvbXNdDJh0B9wY3ubTqfL/v5bJuMJP/nxT3jx4jWZgWmcMDjrcvvuPQaDIb3hEEIb7Pvd7z5h3L/k0U9/zHnvnHky59F7TxgNp5x1zvnqxQvrg5HWsTSdzPinX/4TlUqFlfYqu3t7vHr7GT/62S8Yj6egWxhRQcjIOuycg8tgU3CN0DlRRAqBMgKZaWaTMVqnhJUqJsp4/PRDXr04Bu24REajlEQLTTWQhFqihGBzfQMzveT48Ih4dMHR4RH7+4fcu3uf7c1NlDRk8zndi0suOh2EgM2NDe7du0dztU2SZXQuBnQ657Sb60RRhb/+65+zd3vXMnndPjAcT7jonnN0tE/ncoRc2UEFdt2K0xSDRGUZIssgs1F9oTMnwC7fuVW9E81MdANhZL4Y2mhvXGxqxtLn7XJh86tyz+mVCf/NrVC/fHfLPJAXBuOKoUlSciqPc8TqYNFpYMQyXDcoX2flHU3pGJmNUErlP0EoUarYmBGCegqVzNbXzhzzwUYpcQwIQ4oglov1Dq8sQm59vn6MXN6asSVVBBEYSaYFMdLmhkhLpYmxODNK50hTij4bXK5rQaPOjGCKpchp6eiHmY3w595ZBCGW4iJL/9mFxdK4LNvDYHSKp/BLaT3baZq6+tkQKEGQCUyyCBiCwLIkhHT1caUgEl7IzeQAWvr771Li6irGiIxEpMQmJtWWRu2XWSEERipSteny9U1OuSt7+jEQJEMUc8IwJAojVBCwvDwbY5gl8QIFPQyl1bOQmiRJSXXqNvjFm5nNExCCIJ9PEmVid3+FW7gNqUkXqO7GSKSwRgbYurzGXF30J2JxfglXInOh/1pi9Dc41YDQzBd88BhykaGFk16jKlWO3Nt+LOVQiRL7ocQA+DZOsuui/n9KNkDZTNFYg0ZrQSYlBA0mxqBa24y6n5AypmokW82QZHhONaky6Z0yG3d5/8N7DMdTWuGYcNYn7h8xOH9LKFNW11apra7SOT4jqzYYxyP2D44Igwp37j0lTSW/S485nnaIkymtzVU++NFH3L5xj8lozMlsn4vzHuPxmOFkiFEZ9dWI9e1bRM1NfvPsBf/4m1f88tkLomaL7qjHIJ4x6E/YWGmxGq2wdjfi5nurPBH3CJpAAIGsYGTEfGosO7qqSVRqDT+/oSKIlCKZxWRpRiOE9PI1kRhzZjRru49JV58g1YT5xSnj7jHrD9ZRlVXSNKImrQZzICUqiJj3zxmO+1xenDPpjXj685/z0Q9/hAgrhHLKaHBBOurSDA1b6+vsbG+QzQw6U4wmMVMdoSurzAjZ3Nnhzq0tNhsZ2fSI4axPNZRc9k754otPueyNaW7cprm1SdhuMwREDFEmSWRAIkJSqYizFCU0KksQJiNS325f+759N02X1qsFoC9spMyKYxVCXD732toKhRVicYUHcvn/yke2b5liPS6os8Wn3CpW+m0BgXLHt30sfwMQZTeAyO12j7XtRwqXbwEkXJ8kiDzSitVLMgZFhjSpo3RqRAbSKCS2rr2FkuVQpwPAxgMZd8HXjAMLvVl+3UdBbRKj0K7MMbaUnGAOInbBTrtXpc5/ojEY6QJFCKbTBC0cyNcgjCRLDVlqcoeNPb3dK3IOgfC2o//34n0Vwoo0inybskKF3g6wNlxBis6dPH6c/EEQ1i6Rli5s/fcSoX3Sh3UKGAEms5WPbOBJ5mBZeYPFDWHq9zyjnKCgJFbKJYUIhDGodI7SU2srSIkMoFKrIKVAuLLEaGEFgw15/ropBqe4q27PFcKm5ApMnm5o/20Q0rom/JZuME5JPz+IFcdbYKngSB7WnvYpFEV6BLmNkLsPjHapD6VHLD/uMpK11yFKDjowpT4WHbGKU86R5aaNTxFZ6PCCkW2PKxfWAw/uCyFOvx5INy7+YLJ0fcVAFf1esNPMwocW+y+KtcWw8D97xnxo/NNcMJaKc9t3Nje3mIyGJElCrVmh3V4lmc9YW21w+vItoZT8p//4Hzg+OyFIBXIeMxoN6Q+GRNUq29s7VKtVzjtntFdXQMDFxTnD0ZC/+NFfcNa9oHN+QZxl1hYWAT/+yU+4c+8ebw4OmIwnvD14g5QwS2YYhy/ee/I+oOgP+vzy17/ms8+eE1QiYmNQQYAIBMZoZCC5ffs273/wPjKqIGVGvz+gUt3ECmEH1qHomDl2ftj1UbhnXIiMQGtCExPPxlZ/JYxY21mnvXWD4G2P8WjCycERT1Y2CBBkZESWH44wGUk8ZzoYMO2doadDTg6P+cGHP+Te0w+Jm23kdEoynjIc9AkCyd17d2m1VgiikNE0ptsfctC5REer3FzdpN2+4P7DXVqtkOlsiDYB4/GM05NjXjz/AmMyGqsbqGaTKIoYDgZkVKxDU+t8X7K6E0XFgev0x3x7J9Cf6cW6fFprm49dmpQLbfmh+z2b3zbe1QxedMb/tawo65sEFV75rll6ITTZN7ohJCmI1C6ASljxA+llVcgfvjCTKA0BGZm0njUhsgUBOoEkW6KFS3y+0NJgvHMUsJF6Qmfk2NwunUmSJdBViafIpfyNK3XoMUxk6hZmAVI58ZhFj2QdQYjNw5NSeOYQSvkSVK6Oaei83/nrGTrL0KROIFAhtYGllAilhXXsafsZgUHoFCVdVB8NS3oJCAhMAiZBmZRApKQihYiFCLIRAZeZzIUFi9xEewP9ptRQKXWVEUWKSsUQhlZArwwiDTBWUZ53bnMQLcUvs8kkbqGwuYqLY20FiQKpCIPQMkJkkgNeKx6oUSLDYNkz1nK10RuVsywWo+24S0m0XIhGCqMRSw4VQYT4BtaCMFZAaXkyLifm2D5d7zR4F2hfGM8SSP8mobfl777rte+2leG+dS8KYeuaxnGMiBpkZMziIc1aRLsecdI9YtqrMB1c8PT9h1yev6I/6HP73kc0AoPQEfXtNtkI1tfX+O2nn/DFq0OefPRDxsNzZCC4d/c9pFzlv/73T/jVb75CVRSmUmeg5zzvndN+c0R7dZXN9iYr1SrNaoVOs85Ku0VztcFkPOLtiyN+97vX/ObTl0wyQEkup0O2d2/QqDZpRC1WayvUVmBjp84vbvyYV68u6XYOWFkJQCiMjmyELdBoldqcS0MezZJOXVsKQ2gyks5b0njEpQnY3LrNiBVUsEE2Ngy6HebJECkbkBkClSGSBJ3OmI77qCzl4uyUXq/H7d1dtj98yhzNfNRDi4zpdEojlGzfusXKyop9ZoRmOon56uVbxplg5+5daq0G6yahXlVMBieIdMpgMua/f/4p8WjE7o2bPPnoh8j6JvNgHdVsMTMQpgY1y0hlwFwpYhUQa4kipiJApbH1Bnwvxvdna3m6OwVWsiJoPj/egnuBFeUTPjVMiBJ4sxDKF7nKj+1+F8aSB5GLRj/X/uW+6XKxTSlXugTR83+Vg3Xl40lTOAas86z8rjdcrTiyENaprIwNVki3lRojwNjyS5C4KLpCmxApNLlYnD+ycNecr53LYN/9Fot2QOG48KOmEDjBQyPQWlr2HwolAjJAOUq3rbJjS4H5lAttBInOyIxACoXOrEFrKfoF3inn4yvff2Ejd1DCbsaCQB8wEO49r80gPEh29o3I50hRg6FgLjgYL3xOurt0l3QuHZguAl5glAPLDuj7Cg7gwKqbGMoYhPagXJEhCNAFZhSGaiSoiYgwUIShREUaqea2expIrRNsngSgZV5PTItCsM+XvNP4qkk+7QGkUxq3eesW2CoXnDHGChkXChbFpPaw3QfjDTadV2NvmPfNaJ25G+VLA/q5JArgKqAoG7DYcidC6ZjOT1WsBaVpWwT93f/zMSgdfOk8Pljnz1ecuPhAOT8+Z8H4T1/RTBCLB/AfM8Xnr1xnsUQUnS6tR/7vsoOBfE6ZYpDc5Go2myAgSeZoU2dzc4O3B/vMZwkY6yA/PjxkOuxzd2OHLMuoVqvolVWCRoPZbMbB27e8fvEV9+7dYzAcMhmP+euf/4LeRY9PP/2Ml2/eEGcGGYQk6Zxnz78kNSnrm1too/n4o494/eordBZjhKC9ucnF+SWj4ZivXr7kiy++YB5PMIFknmYEYUgQBrRWWoRRxPr6Ou32Gv/5P3/Af/tv/8xg0GOrNiczkBqNNosTwZaplPlaITAEIiU0Ccl0DAYyqai318iEQoYVknnC8OKcyKQEWFZRYAxkGTpNmAz7JLMpUag474x4/N77fPD+Y0y9QTfTTC8vSCYzAgGPHr9HJYpAp0xHc3rDMd3+lFkmqa5tMksFjeYKMoDRrM9g2GUyTOmeXdI5O2NzY4uHD+4wSwzzaJVJEDCbTZFhYFNMtA22eAdtLva44AC72t5p6S+DwX81ubPfdRMSKUMQVmzHl+9ZdmkIpxYrZICS5JRmk//3LTQIfo9mjK0dX8h/WDrc8n2aJ2bBmWm/u8x2gEwkeWReCoFUimAp9zoiIxL6iniaV6K2Sv0aquFC5BZY+I6UTttgOWfelwSUDvB/S7GF8lz1OeO+LGQB9CVRnFini9MjsP2yG710TIKVsEkjMAsMjjiOF58HIWhWq8zn8/y91NHXfXT668q9VSqV/Li+b2FknSH+WH8MhV2yhP/FVc0Kkc+af3ntXwt9399bf68rlQqVSoXLy0vWmm2qtRppmhJFEet7e5ydfcmL55+ztb3jGCACGUVkUYUkCPjtb3/HizcH3H34PoPBgEAI7t+7RxhV+eTTL/ntb37DZDJBzzTTZMQP/+IpP/vZz5CJ5NWrl5yfnWLSGaNBj+31Nrdu3WI2HfPFF1/wu8/P0dEKURRRzap0u12EEKyurnJzfZuVoEIUhMgpqJmhUlfcWFslSaEWTsl0Dy1qEIRomTLTBeryTNdUpARKEQjJdHzJyckpcZxglGRtbQ1jDGEQMJ/Pubi8IJ7PEUFCEMYEzElnAyajDqPBGfP+KZN4wM3bWzx47xGDQNHr9fACiPV6nfX1dZrNJlJKJpMJw8GY/mDOeDwmaLYJw4iLy0tWaxWMyej3egwvznh+fIQC7t17wL07d6nUVumODP1ZTNobkFUD6rFCZAGxSUlMQqINmUkxxARiRiZmSPF9eb0/ZytNOauOLzzgt5F7Kz7rdD4Ao0UBnEvpUz6Ky4LhXjRx5f+/bytEz3LQaIqcfFF8LDchPEC1n3a9E8s9NAu99lErcM711B1EW9CZJ8uZUkCkZLfo0rmKVgCFq6BfLP2UXjNerNdGGL3kLkKBqOHTQD17QBjhK/O5o5eS+4yN6AnnfC/TqIVDt8IIlHN8KOlz1BeDtBY8SwfECzaZMR4Le+ujAPqLbFQP9ovjKFeZR+bCeLIkIufGAQvkyyklGlD5PXRMAmMIlXGfNYBGGghL4FliqFciqlGNSEmq1QBkynQ+RKcJOMeKdE55Y3yU20Nv131HZ7auBwsOcuq+U4AU0rix0hgsIzPDCuzZeesd3d4ZYmeAdODTOgY85ioCJ7kJpL31W8wd+xEfH7fP5ZWyuQvveacKxTnx64AnBYi8coY/2zKzYdEz8HXehfI/l6ylK1/JvRXXHyv/7b0SxQmuOhbK7qyvayYfhzyzxoF8T2MHK5Q+Go2pVWusrDQRZFyen7FSi8h6Mb/75Ld8+Pgh1WpAogT1SgNmLWajPocH+xwdHLKzvU2apKyvrfHo4SNGwyGv377lzdt9zrpdEg2N5gp37t/n6UcfMRgMeP3mDadnx7RaDfr9C9qrbR699x4qCDg7+5Jf/erXCCGJag2CUWztXiNpNGqsr21wY+eG1RhJLTO3d9nn1q09as1NxvElUEWIGkJY4UptJGgbzHOyFC5lKCbDEE+nDHs9y4INAoJaizgTRNUqWZoSj0dInRISoaVEmpQ0npHMZsxnU2aTMTKZ8PjxY9rNFvE85aSzz7RaJVhZoVWrs729mduE2mhG4xHn5xd0elPEyg2UCun3h6zX6hhjuLi84Pyiw9nxBUls2Nre5ic/+gGYlOEkBlkjDiNSFdjUbDICnPaaWx2sr0kXD8HXtHcCfZ+n/b/3JqREyCA3KIy2QjLLTWfu4RJ2I7BeVWW9nAKXR/MdAn0g0cL5kQuAp/XiQpmZEGMWb/Vy1FSiqRKjpEIpkVPol1tVVAhLQN+D+zLQT7VGB4WwmgduFtyr/N9BKAsFW3dFHjRZJe7r1+Drmj+H/76vKrAAGiVUotgyLLIMrTRSKqJKZB0DDnxXjSYwRVk4r/B/1dFVXF9Z2ND34+uad0CU9Q/iOEHrbKEk4B+q8yDNookmEERhtNhzLayn/V9Y+7baBH9seb7vohWGo03fqFQqrG9sMLjsECcxrVaLqFJhMBjQ3Az57PPP2L2xyf3790nThNF8SnzZpXd8wNnbl/R7Pf7qr35Goirsn3S5d/8eQkjevDng2bNnHBwcMB6PmWdzpukUKQSj0YiN5gb3799nd2ebNy+fE08n3Llzl36/z7PPPiFLE37+858zFzUOLzq8Pj0iMSmrq6tUoojt7W0aMuDs6JDZ+YykP2PeP6NRaxPLOdPeW8JKE0PIfJ4Ss46u1e0g6AIXxHGMDEJ0ktE7P2c0HKKqIUoGbGxsAIJGo4E2huFgiDGGQKbU5IzQTMnSPsPRKaNJh8mww63dbR4/eQIq4vz0gl6vx40bN2i1WmxsbFCv1xmPx4zHY6bTKePelIODLq/eHnHz/iMCpbg4P6e5u0G32+XkzStGF2e0tnZ48ughq/UaJjPEccZwOCVlhaAVEVbqlqVgcKlQVnxUaENARkBCKBJCvgf6f86mfQ1xfBTf/dsUf/toYWE8e1BRCHG5NyA3p//YdWTRaeA3LZ0DBWuAl/OUy6dcyJw35bdMaR133jRj0FogpdXKyTPTtRW39UDephfJHHwK4env7uRm6ZxFwJBibPKsd3scDyYojiMootMZVtdCa+NSCEDLkEwEVmHfeDeGM1E9ZdvYKJUUBmWshJ3d/zVSOYeB0W6UPakdm+YjPbi3F6CcZpIKwwIMauPYHk69X5DnpbsSCwXQz8FueYDcL2HXAekCIcoUzoFcqM2zBxx49wUgVWlshVs0hYvAClf+TgJNqfBVf2yE3fVNGsIAKgEgFdMxmKyI6hltkJkmSwsgYITASM9ZgKIkndMEMM4BkFulHk4LBCnCOYvK+fiFun9JrM4dVRrj2H6leVuyRcSC1kMZzJY8XhgWnkfjP2HyFA1hXFR7AbiTT2ufTpYD9aWPus4sv7LQm+VXNCzYG75PRSevs/fKRzNFZ5YBPosYzd+Da/vnHzZTuHF8Okr5+9KxUdY3ttjff0NUidjeWqcaKabDHqGY8frTT/ng0SPWNtfBpJhU0Lnsc356wPHBW8bDPh8+eUw1DDl4+5bHTx4zHI04v7jg9f4+bw4PSLKMDMlgPGVltU2WGXZu7rK+vs5kOuR3n/wGISQ3dm/R6VzQ6ZwxHI35m7/9e6bTOUenF8yPOwxGUza3b7Jz4xYb21tIoZhMhgyHQ0ZDm06wsX2DJO2TpoZMRGgRoUWIoY4RVVA2uKgd1VDoBJPM6A8HmMtLzo4PyFQMQcCNW3eZzDPqjRWGgwHnnVPS+ZR6rYISBkxGMp8ynYyYjMfoNOHG5jobm5soDd1Oh8FgwMpKi+Zqk/bKKhWpMBiSLKXf73F6esKr/RP2zyfsPV1nrVpjdHTKZq3G6ckRl4Mz9g/esL1xgyePn9JoNJjHMfP5jGmsmQWaLBQgAvvjHKDGTV+//9n1UyP018P5dwL9/91G8JeaLXES2k3DuSxNTvsq2nweA7aGuge+wpUhyYS4RiPgj+yXsXlZ0uVM2br2EiMXo/ApFRawv/D1zovFJDQJFbJc3T4M7NRYBl2RDAiEeSfQJ0uZ51HzLHcYeVV1/2+FYJmlrTODEK7kllrcAt49FmUnwWJOuO8nUhDJ2Eb0pRX0EUKgREogA6IgsuXeEkiTLK+ekGXZlei8AeLEgpu0JETnx6ucj778HC3npBujSdJx3v8/tlljsTinAPSVcneunNm3aFc87H9CgP2vSXXfzzOvxRFFEVubm3RODojjmMbqOisrK5yeHjG6mPD06VNajYwgDOj3BwTZhHmvx+XlJVEY8ou/+QUZAZ3TS27euImUkuPjU05OOsxmM+IkYTKZElQV7z95xN//u79nd3eXrz79is7ZGSaN0emMjfU1okrEixcvqDcaPHpwn8Rs83/7v/8/OTw8sGVe5lNu377D3bt3qdVqnO0fcnF+gR5rxudDGisrzNM+bw4OWd3YoFqxQH06vmBeeYKoVO0Mc0BfCEmSJEhtmE9mdM/PMRhq1RqhCWi1WggBzWbTMmSS2K4ZKqUi50R6yjwbMpteEqcT7j7Y4/79ewilODs/ZzK2DreVlRUajQZKKSaTCUmSMBgMODo6ont0AaJqnR4PHjKdTTk9PSUUMedHX1ETcx49esT2/SdEytb5Hg9GnF+ek+galVadamOVNKpDmjlaa0ggA4wUSJ0RGqhiqApNhX95jrL/mVuum+9V9j1lnzI/yVv8V52yti3vKN+t4x3KAH8piPeO7+VwII/SeaE+LwxnAaLHahkGqe3eIV2UB+Hp4e5DQuYQbiEieSViyuJuUeZHX3eBX3vtFh4qL8onbJpaisuVxovQOse/cxLYyLJNQdBY3QGEcWl/BpXvVIayNJoF+T7Kbo/rAZ42aR7V1BgrTuy+jymU1v3ICyfWK2Uhglc4h+w5pZB58EN658BCfrQsfcfeEwV5P+wNdYWpjbagTRbgTTrKu9BWd8myEJRNM0CQJtCfawwZWZZiTGYrQhjHZjFOd8kdTQBS61xjsWCxWBnGXKZC61y0zg6f5124/P/cQWUcuMzwQnq2NLOXdPQg1CzMKVFytuWpoe5e2Glb8F2vRvOLvhfOiKX5Ksr8HBYcEPmtvK79DzQzchdBDtiK5kEcvHt1snaYdyD4D5vS/JUoFWCMC4xgUELTOX7DxEy5d+8OrWaAUZLORYfMwKh/SefsFKUkf/d3f0ukFL/91a+4ubvLZb/HyekZl4O+VYLXBiMVAkVYqfHv/v1/pNVq8uWXX/DZZ58xHg9QgWBza5u1tXV+89vfsLu7y4cf/5A4yfgv//j/4ui0Q6wBFdBeX2dzc5M0zeh2Olz0LumendE9O2NzZ5vjo7dcDkdUGi20CjBKgQqpVR4Shk2kUa5yR4Z2KiHSqdJnpGg1w8gERAVhApSICIMKRhiyJCYQhlAYZGBl/MdxTJbEpFnC3bu3ubm5RjabkmUZF4MB1WaD9c116u0V6vUq2SzGaM3h/iGXF132Dw4QYZ33nrxPZWWdQa/P29evyYYVhpNDkHOefvCUm9u7hGE1v68aQ6yNvb4gwqgAg8tz8oKXnvKDXYskhuCa4LNv3yQt/n3Dim7NS0vJMsB3LyLDALDe3QyXB5h7HyUou6h9ZxpOUmKkNTe9IMN1zQQhYrle/TUXEAFhYL3kRid2M11aJf1f5aizV+/3LTOaFL0A6j3oLwNvJQSLReWELbbr/+12ImHEgsPhuhzu8vvLud95dFxAUDNkxub5G5PZfSnVpGlMOp8ihCA0EVLbsmke6C9HkA0QuyiN7891gN5XNyhfdxzHeb9sjr+mUrWil3m5Q5cOASWHhQgQIsj/DsPwCtPAGCBZzKIvmSILYyiXFB+lVEubov3DswyEEI5yviz2990Zy2Vn0Lvadef8U1P+v047oAz4gzBESsloOEJvaJrNJsNzzfb2Nhtrhv/f//f/wd/+3d9SrVZQScrUiSk9fPCAldYKr/aPWW2vUm026PWOefniBe21W/zsZz/jk89eU6/XyIQmSTUvXrwgiefcunWLaiXi5ZfPGA0HbLatl/rmzZvcurFNt3PG64MvefnyJZ1Ol5SUIFRkOkNKRZalXF72iOcxRgtWWm2CSsT/9t/+K0dnx9zcu8XacINEp2Ra09x8hFTKaYu46FWSUoki4umMeqPBoN8nCALG4zFrt+4RBAG1sEbQNqy0WsRxTBhFVoxrPiKMMnrjAXE8Z2Nzk43tDbQM6F4OODnvc3o2ZbXdptVqoZQiTVNmsxnn5+e8ffuW2WzGrVu3uHvvCaMUwtYar09OGAwHdFRKvVrlyb173NvbIauskcVziGMuznsMxwmy3qBVb5MRoDOQKiQ1mkz4OsuGKJJUhaAhBCtK0Qgr186H79ufpmlZjqF5kK+uRgaN/cTXWvLLkcDvsJXB/sKh37FEGgrdIR/RL6J0BvKoq84p33k6Lv63cIu8deB7urtLPi5FCRejiVdAPgCei26+0Q/iR1nm/gEP6i1008LR0HPbZDGiKYSl+Vu19xRhrBaScpF1JaHEpcyP4XWNpAPK0tGWDZY2a/O5hTOKcdGwqw5rIa1TQbpqP/7Hjrv7nAOnXqHeGHtP8sCP/7ejxxuXTmm1EvzZfA2FEu1dC5Ce1iDQJgBjME442QoIO8ljYfWPZvM5Wrv9XXjWpT2mxuSpLHY8tdMAMLnvxrj8ZU+xF8JgpJXUxgNkQQ6evY6SFtqu1cbkgsoefgt3reC6Yko6B6X5Ze9aeY82uJoJzq8k8fSQcqEie/9k7uSyH7fCiEIqvJiiHTN3X0tQ//op7D//9RN8cb58dwtFGeRrCrP96hNyfVtILxHiqnyGc9UgBM1mkyAISNIUgeH23g0+/6fn/OSHT6iLOc8/+2c+fvqYei0kUJJ42kPrhA+evEe1VuX05Ihme4W1nS2+/PI5g8GQaTznJz/9KZ9/9YrL0QSEYn1znV/+8p+4dWuXe/fv8eKrFyRpzOvXL1hdXeXs7JydG3vcvvuA/mDEq1evef7iFd3LPnGcEaiIKKpQiSqs1es8e/4l0/GEQCru3L7Nydkpv/nkUzIhubG7x2AyJaxW2di6wcqOJCxFvAFXHhKiIKS+0uJ3X/wTcTAmE1BRDVqqTlXVaK1F7GxvYp1XGUEASiqQ1rYWgeL23TsEKqM/HRPPJnQ6Z7w+PeDp1odEtSpS2jLKJs24OD+n27vgsn/JnccPWW1vo6INwtpNXr86Zjo8ZtJYoVmtc//he+zsbFCr1chSmM5mjKYTLns9sqiFCqrIsIqQERaqu3Ktwj9L1sEnjCZgRCjGwJ1r58z3QP9bNINwxU3e0QQgQ5YXt4X3cduf+G4iQXYj/eZ67z437F1NOPE3hURR0P8XqfWQ5xrmf16lWmsM6ZJ3yTsGyrXSjci+0ZCwq6D6RvB3XST4yncEqNRu1tKtsNoYsnQx2i0DiRBh0c/rjo01KJbPt7xxlJkG5b/Lx/S0QX+Kb4qgf52Inf2bK3V2r2uC7IrDSejsyrkyEVzRHPg67YHvqv1BpTn/DCyAb9OvKAqpVquMRiPm8zn1ep1Wq0W73eaX//T/pt1uEycJa5stkpFll+zd3qNRj9g/2Gc0mmESQ2885/jgK1qtFrf29jg8tDSxs/M+CMP/4T/9Bx68d5vXr1/SOeiQJgmZcxwpFbCyssL2xloe7f7sszOOj4+RSlKL6qTJjCgMabdXMdOY8WiETlO29nY57nb45PPP+NVv/xkVhUStFq9Ojnn+8gV/82/+De0wAinzdCFlQEvlnFmKLE2ZzefU0oyZTri9sU6z0UCktixmo9mkE4+Yz+Y0VxpUQkkoNJGMqIY1bt5YYzabML+c0e3N+OfffcVXr97yv/6v/1c2NjYYDodMp1Mbxe922djYYGtri2a0glRVLi+HiNQ6LyqVCnfv3OXWVp2bazWUSbjojaiGAfPxlH5/DLKGFKED9wqjJZmDFSmQYrCbbIoUCYoYxQyRfU/d/3O2TOSbqFPT9qKjNnpVhhT/I5rDkznIX/C7m6JX5egj5c8a+1saH+lbBPk2Clvo/Vgas8u6NoApbAGvIi8Kw6N09ne1cu/04lDmzoerX9ELn/HX5WwId2FlzkXRKe2AssaQYEQK0uTq9kpIlFjstcCxGC2VCCEKzQWN1U/SGKejVAB9WNQqynP3cSDfYfF8mc8DDTi2pMu9F/YcuXPBeIK7WzWMc0Q5h4x9zQN9X+HAeUYc3d8KykmMzqzAmLDsBIW1k4x0IoYe1GduJETh4DDuvPgUDmPvoShH0o1/eCj64p1GzjnirwFhnQRWFl/bftgEDQfMnZieE3jMHR95foSvzuP/1qV77/uaup4IN37C2ZjuXvkKAuiSs8i95pgjElCu8gM5CPb0dTsGX9eup8iXIfefjmHob4lvuQuo5GCyI2fye5I/027dEBLkgt6Wm7Pud6Y1m5ubTCcThFinXg3ZWm9h0hlfvnrO4dEZT5++z2qzBnpGkk548v57YAxfPPuCs9NTbt64yau3bzk8PmZ9Y4Of//gv+Mf//iu6lz2MskJaf/t3ll34+vUr+v0eSZIwn08JAluG/MbOTaJahX5/yOlZl+dfvaTTvUQjSbOUsBLQWllltb1KEiecd7to4PHjxxweHPK7Tz/ln3/3CY3mCq36GmedS756fcAv/s3fs7meEkSxZXoJhRGKzDvnlSRMDHE6JFFTZFDl8XvvcWPjBvN5TBqPqTeq6DRByAwpDUGoQFpBbI0hqlZJ4xHj0ZCLiw77h4d8/uwL3vv4I6rNBqmzuzpnp/T7fVKd8fFPfkyz1SIzAbNZhclwxLQ3oFpV3Lt3i+2NTVZX66TJhMFlD6NhMpnS7Z7RG02pb64ShjWEqoGIEFh2k8znotOD0xmKjICYihl97Vz7Huh/i2Ypgt8AqP1T9w5BBCBfwL+rZr7JAQEok37jpwKTOKqLdDlObpO+BjwvuynSpRrqVsplCfxfk+Ou0WTfBuh/i3X2+hz6q03M/YZrXRrymq+ob/FY2P1sWbv527Uy06GIEjtK3zd8z5h3j6vdsL95Tli659XzLb+UUbApyhoL37frWxhGrKyscHF6zmw6pdlscpxlHB4eUm/U+eFHH1CpVpnNZoz6A1ZaLVpBwsvnn/PLX/4TzbUt7r//Mc+fP+fu3ga7u3uMxxnPnj3j8PCQNE1orNYZjUacnJ6wt7fH6dtTm2d2fk41kjx58pidzXUuOqf8+te/5v/P3p82SZKk+Z3YT9UOvz087iMj76y7qqu7arrn6sHsAgOAICAAKFguKHtTsJ+ElBXyFV/wFb8BZckVWZHlEiDIEQx2djEzPT19VlV3HXlHxh3h4be7HarKF6pmbu7hmRmVVd0zg6knJTI83M3V9DJV/T/H/9l7+oQnexEXFx1ENSSolPBNwMbGBr4f8HDvAd1ej0AK/uQnf8bp2TmdwZDziw5hpYZ8esijJ3tcu3mLO299l6BcR2VA3xmlvNCmmSqVQnoXXUajEV4SI32Pza0tarUaogdBGLK8vMyToxN6vR6t5gYhgmQ4pOzXWFu5hjGaOIo5vejyeP+Y3kjwj//JP+X69et0Oh36/T69Xo/JZML29jZbW1tsbGxgIsGjx4d0u0Nqfplut8vqyiqbm5s06yCEIppEGF1m/9kRTx/e59mTPbZ3b7Pb2kXgW5BvwBhBlldFGeuumqoIQ4yUEToeEKnnb6zfyNcvOdB3ID9zT50x9eXydR7OX1bWi/eAS1j5JRflrv8Os5jM4o3Jwaf9wEMYaQFQDqpE4Scjs3tJ9WcqMQ+pX9aiy5fPfzoNJTP5ZRnkF5kruLBtxMWg2s91EXXnZUy57cmwmIuHF/nzWswWZBzYNMYg5jBfpkSRWYhdzguU9XPRe2IaHy6weNYIjRHGWrzd2c5a/QHnMWhZ9qctnt7EWqWnSpKsztP926pCBOipeoc8JNDDGIHJyKGFyzxBwQMElZ/hDBmHg5j2YEGJkqlL5qLk8zErzKrCIGYFTJUiz3taivB5Olnm2MJNRhr54jLspRnsvexZMHtsvKwEzOuSe63MTl6r1MnCEfT0YPQrsG9Mn4dFnxVBfhYEkqn5pgWIud6179jUhaurqzy4/wVJElMRhtAzdM5PiJOU//AP/j5BSWC0YjjosbRUp1mr8oM/+3NOj0/QBlbXNjg6PmJtc5Pbd+5w1m5zcHTMWbuHF/hAQJwqxlHCh7/xXe5/8RmPHz2k271gfWOVN998i3qjwbNn++zt7/Pg4SOePdvnotMnSgSlcpU0NfhBQBiGHBwe0uv38QOff/e//Amn52ckynB+esbZaZtuZ8gk8bj75vu8995vUqvXESQgQ7sMSmx2NAOBMSTDLtGgS6pTKmWf6zdvUipVSGOD8QJWVlbYf/YYzzcYneLJEuNRBFJSq9VJ1YRJHHPevuDo+JRJkvL93/99rt24QZoqxpMJo/GIOE5YWmqxvrHByuoKnX6Xs/M2nQtYbt4gTVKuX7/O5uYG66srSCG4GA9JYkWv06HT6fD5gwf41SaVjXsgK2gTYnTg5l1aHHD7Shg8UkKTUHqBR+s3QP+Koq9i0c8PHy+67Ouj47MW/asA/RjfPH8SAPgkSGHjWSTCWasvL/haTzXlmWTu6dN6QTKnDpgnqbMKg5eDWxA2ZcxL5GpAX2BSz2UVcMy5UlxKbejsAi+/p5rVUBf5Aa4iM5kLUC+M4wTm3OasZOn9irW/Suy9NC4msCBGaeaKQrtYvCInwzfyAjGGpdYSpwcnJGlCZanOxsYG4+5Tbty4mXNW9PtdJsMBnqd5/Owxjx884N5rr9Fc2eDg5JTr169z5/YW7fMLfv7zB3zxxReMx2PCsMry8gobGxtsbCzz85/9lNCEDAZ94jjmN3/je6yurrH37ClPHnyB7/tsbGzwaG8PKQTlSoVyrYZOPCqVCsfHxzx88AAfGI5G/OGf/jGTScSbb3+LVnmbk/M+nz89ob60w9/+B/8xmzfeo6Nt1ghhrDVfCvCFREUxQRAyGA4YDgbUtGZ5eY2V5RUX/hISBpKV5WXGj8b0el08fKJBxN5nD2FwTEUnNNaWaC0vYfwVZHmb269Jrm2XqFQqjMdjxuMxg8GAGzdusLW1RRzHdLtdkqGyzPwuvGVzY4PltWWWWktEwxPiXo9o0OXJScyzp0+RqWJjY5vVlQ08GSCFjWdU2oEFR6Jqsz6lpCZCixhEgkpGpOPuX/Zs+xsl+dJknC9JbiUlt9hOT+LzB9+v4e6LNu4XKPYz668oXLoIwBTVFHqO8Mv+FpmjZp4iDiGRxkM6oJ9dQWZhdXV+cWaV6Wcib8rl66eficV9wFxvZ+7Ez2tjfgYy+Y9wgDrzRHDwCuWAn2ecRwMWaOoc/Mgc0hoyb8Kp10MG8oUQLmXfbJuzexoxvev8ES4LpxDufgJLyGw/1GhhULLApeD0MZbPSbh0WFkc+7SPM4JEk1mhXV2KPWq0UybkAHqq0DHu8yytpMHM8ENYQkCRg1nrKC/ytKjZ1LWOBVOOemEsiV8R/077YU4RlCnZ8gJzBFJoxjxjkCi0kKlGy3bALCGleyEzImvXF3bMbHSyyLwizLQNWSzzTF0Lz7Ch8JSY6Tti2iGZ1cSVbe/94uXk5WuNKLhuFrgg8zlf7BmRVzm7Pss8MW3jtGenHiOZ8gOgVC4hUMRJwng8pl4zlAPJZNhh99o2sUpZKtWIJhf0L7qUQo8vPv+c4WDArdt32d65xunpKbVag+2da5ycnrG3d8DR8QmJ0iQqwQvLrG9uEScpf/Knf0al7Oe8XXfu3KFUKnF8dEz7vM3F+QWtpRZC7KM1BIHH1uYW5+02SRKzv3/Ao0ePSJQNE/yzH/zAch9tblGv11FKEUjJWCX8zu/8Nrs3dul2xo4w3XFvCIFya60wivGgx7jfQxuDXyohfMloMsEgKVfqNBpLnJwc0+t3qJQrqNTw2S8+YdBr45PQaobIoERzeYVavY70Jesb65QrFU5OTul2e5RKIdeu7RIGIZ7vMx6NMVpZ4kDlUa022NrastmH0Jy3z4knEf1uF6NiPv7oZ6RpQqPRZHl7FxmEaAK08jHGR3pO6emeE6uvsyR8nlF4OsGbS6FelL+WQF9w2fK4UL42l5viNvVVr/v6VILZI/3y6wxyBngXNlrXRR5pvjFarbC7wsx8zbmPFQ9UxqbTKyxy2hjUAmKIIsu8lFbbqOdOBPkiVrjn4mGcfVM/97pZ0UrgGQmel2s807ksBb49RzFlG3axfoV7GreJzq/ti45JxYNDkaU9UwwIIUhVYZEubLrFkheFSVwOK7iKj0dW9uzcsceUQllGOK5n2wfCpUGYHqCe3+rFd7zq3L9CeZfOnNmhccGFLyk5Y/TNrzHFz5haUua1+gsKU0pRr9bwPWlDQoymUg6ph6sc7H2Et9OgVqtR8iUEAQd7T2gf7PPet95nudXiwZNnNp5/6xpnJwecHJ/y6OEjHjx4yHgSI43Pt771LYQQJFGMSlIuBmOG/R6bmxu89dZbHB8d8mxvj0kU896773Gwv0/vjz9FeJKtrU3CZp3k7ITJaEx/OGIymbBSbXB+0abnKfxQ0B30SZQgVYYbW9f4g7//j3nr7Q8wskI5CIn17JHCl5ahOZTGas+jIUhJq7VMpVQmmkQ0vDLG96g0GyRpyqg3oCR8LvptvvjsC5LOIUshtE9OGQ6HlOpNmqubxI4rA6DdblOv13nrrbeoVCqMRiOUUvR6PUa9mFTD0soytUaDu80mg2GXeDJm0O3SPnzE+dE+iVxFInjjzTdYaraI04BYljDCd+6zU1Vf5i4rSC1viVGgFWmSoJP4ebPzG/lVSI5Msv/cj/vb7krPWwe+1I2AuZVjwdJl8dbijScDx7LwhjDyhXaAHGoUwMCUqE1YUO/gGg6w2aKLa3lxIROz6/nzJHdhn+85M3PJi4B+dlHOBCCnYD/PH+/KzP4BTtls11cpsjYCxtjn0JAzuWtRyC6UQyL3mc4c590+ifUYzDzghJA2y4y2rP2IjAzQJZsTWV/DJTc/96dx4QeiUP9s+hmXux5EHqc+9SQQ+dw182OV4ePsSOVcMLLRMAhrzZcZCZfb4bOp70A+2VklB/AZvZ3IbjPtrbw9xfOWO/TkVRGF+HGJydUzwgZ3ZpwH+fR3Z4JMWZErT4omk9l2Z0oFO0fIser8ySQb6Sy7gaUZkPk9ZvkwRIaFCu0urhXTuThV7mQN1bkyZ3q5wTznGX8Vsd0t8vWheIS0SgDIGKptXbTLTmGVYZkXnVXqZOcWw9TxXzjFn+0132WfKgU+Kk0Byfr6KuFqlcePHnGzUaHZrDJu9/CF5PDZPkdHR3zwwW9QrtR48mSPICxxZ3uHTueCw8NjHjx4xOf3H6B1Sqo8/uN/9vdJ0pQgDIjiGEiJ4ohKtczdO3cYj8ccHR0yiSJ+87e+x9nZOX/4R38MRrKxvkqj2bDkvIHP0/1nHJ2egxBESUy/38fzfZaWVxBAt91mZ2uX/+q//s+5/fYHRGlKUCqjVCF0w42nMGC0IonH1vtWeHhBCSE9q8RH4GmD5/m022ccHx2ysbrO6fkxP/vZz0kmfXyhWFmuIkRCvV6i2aihjcIgUNqex1utJTY3N2k1l2i32wz7A+IkZhiNSNOAtdUdPE+yud0i9LukaZ/haMTJ8THts1N0ErnwwzU2t3d4ctpF+SUUEpOa6fnUOdMah8G87Al3ZxLxgixaXxroz7vuXjUd1tcp/pVup4Gv6yA2D5SfJ68We3/VVGHz6Q59DFXz8jjRiVchFnbplkbhGYWPRpoUUHaiIIlZIbZBqUBhEzBTK77whgip8s1SCEHiza6DxoBOLg9SMbZbCEGs5SVY6nmz9Hw2fdLsNVqbSykEpYsRfpEIwCtLly4mzevhBbPlx0qjU7dTiAC8ICfQK5Zm/MrM97Lltii+p/EK/oJZrHtGYDgdU4mUPr5XsPKbKbjXWqNV8tKUlwZQ4RVCD7wyxgtfel2xZ2IgTsWCNSBFm5c/a2VTz3TmLxAF8uVlSX9Oeyny/XFaLzyMmSUONFpf8kgpexNLQum59JDOQ8Xz7JxK0xStQOgwJ/rJVADzEmqfUrlJI/TptZ8SbPqstRTPHjxj3Dlj7Y0b1LRgPYj4xfFTzGDAW6+/T6vV4uj4mGptnVarxbDd4dFPfsnZ+QWNUoOV9U3OJie0NtYYRgk6Mhx89oTx2ZBxWMN4IVsb65jJgNODp6yurPCt3/ht2mPNn+99wXGsWN7ZoFypkIwmhJOUupY8Oj5jMpnQBqqry3TOB1RqIbW+plWvoEqKSveYo5//kA/eeBvKEJIilUCJACXc8yQTakmPZR1hHv5P7LLHqFShqUOWTJV0bBg0BBcyRt9YRwnDxUf3qb79IQ+efMRSVSJq25TLPpVmFS8ZEYQeyiQMO20GgypBELC2tuaYeVM8z0NrzXA4ZDAYsH8BXmWNjbVdRoMLPJFQZ8LkvM3ZwROePH5APB7xrTe32dl9HVlp0R4LBrKMqG6ggyYjFaA8Dyl9UJKAFN+kBEzwmVATmjhKSWKPWv3aS+fpN/L1yTQ9XDH2N3sGM6tnTu/lZNF6I66wDj3nq5c+E9OlwL2U4nK87fxSMV90jvPmrzEZ/snUatLF5ZP3wdTZvVjCNFHa7F3cqwUVuLRjC8jj1K2m4jm1nwKYeX/FKbTLyPSmUDcDyx5WGeAJ543mwLMy01saXM57MfUIMAXEagGsjanNcslrY40QxpHJSSFBC5dvRuYg2J5mDDJTAhjh+kdnxx9yFYNxqayw72WGXxu3LgtkfK7dmtzaPg0zAYR03h7GgWPI7LOzbXPs/LknpNvDtLDKBefRoR0IzsYwA7JZHHvRcJMlTczn08xAiSmIzwbCnpyc0sS20Xqzm1yxIozGCDk1hrvxtXXSFlSbDIQ6BbGxY5GR6VmFqptnIuNTcLNYgMnyLWeKBHc60Vmdsvprkz+LGTFkXunc94Pps+W4LSyvgSRLPZhfNKMMeIE852ORzxbcb5H3U+5VIGzdc0+F7AE32nENOPrRvAtUYWyKz2XWvwaExvcEUgTcunUTFQ0QpkStWuHJ55/x9MkX3Lt3nTQaYIzCaEO/2+Ott95ieXmZdrtLGJZoNJocHZ7y9OkToiiiVK4QRQlS+qy0WpyfnnH9+g1OT485Pj4g8CWg2Ll2A8+TfPrLTwhLZd57911SZXjw4CHdTo9atcRSo45WKXGSEIYluv0BiU5semwhiZKYeqnMcDCk2ayzsrxMmkb88Ec/YOP2G/Qje96SMmu5M3wZjdAak8Q8enwfJUB6Hq3lVaqNulXgG4FShrfeeIfNtU32n+7x7lvvsvf0CcIYru3sUC551KoelUqA5ym6nQva7XOWV5YZDAasra7TqDXwfI/RcEwUJQRByOHxEQcnhzRbu1zbXCeJEmR4jjEJFxcdLs7O6F60GfQ63Ny9xs72Fp4UdLtdytUaQy+wXB1GWP4JrZDSqRm1Uz5h1yKpLa5DfY0W/RcRg/065Arb81/ePb9C5V4GUhcRvc1v48+vlrN2mEzH6zZcQa5Fl0ByyUIlcrA/5UFKQSWzLvgvAZ/F9s2nlpuXeaWREBLBPIi//N3LLuyXlVJCCMSl8i+z8S6q3yIyPlfAwnbk9dIKPedSkwHI+fIzd6ciaWFWl6tyEBQa9rILrnDN4il9WbF3hXrlJ9OX3fMqbXTXFIpaWKq5vDcLKS4ZbLR2ChfjOYWKwvM8vCxcQQhSodGpO9w4a40n5SWySqPsc7q2tobUQ9I04fz4mMPDQ377t3+bJBpAGNDtdMAYdnd3WVpaotvtUqvVqFarnJ+f88UXX5Ckig+/+1s8Oe3yr/6Xn6GMYGV1jcFwxMNHj/HVBINgPB6xVCmztmbzxV+/vktrZZ2L0Zg/+qM/5cc/+Skg2NjY4ObNm/R6PXq9HicnJwz6favscuk2Pd/Hc0ozAQS+z3g85v4X9+n1utT8KhqBlCWXdtTZ14Sds4PBgDiK0EqjZEBzZQ0vKDFKNePegCDwCcOQ0WjERbtNr9ul3+8xGo0IAoHnG/s6tHUaDke2zIrPysoKYRjasfE8+n2bZ9cYw+HhIZ8/GfDa28tEk4jDw0PqFY/QVzx58Cm9zgk721vs7mxzfWMb4Zc5HyREkcbI8oL1N+N1d0RoxiAFpEmMUJbFf6lZv8Jc/Ua+LjGL0Gnh0H55FVi81ojiq0uXPG/9EZevmj9jF37nOvLnFJHhD+auE4UC8shjI1wKpal77otioReoC+x7Yu6KfFOfAqPZ+tp3MlKzlxojxBSoOo9nt9ZmLbFKCU9M87ML7HPlI/GMBSfSolQbRoPG6IwV3oB0JGvGXZPBVqf8167jrWeiA/nGOGItS+hmjAQX3uOutmekvIuKVov5fiyEHhhTcIG3bZfG1sW6oFswkfXBpQFzZMDCZGz50zGaKq2NC6PMviydFb9o4c/c1k0+psbo3AKe3avYnOmscEoSLXOlRmY9Lp43bB/a70udofks8wAW+Es3+lJMrdXZg5C51humAN9Y78WMRT4LPxGOm2FmdDIXeuExtftM/SuyMQdbPplBhSzjgFsrsjz07n+runAs/yYbM1noqKuG2r7oaTSFuTZtr1f4ZnY8ysNIhA1XAM8pJGxmCCkMUtpZL2Wu/8n7IxvZLN2mTWJtw3ETpcAYet0OKk34gz/42wSBj9GK9tkpF6envH7vHtVGndPTM+JYsb65yd6TZxwdH+P7IdV6AxmUAA/p+WxubTIYT/jxT35qzwxeljXJ0Gg0OD875+2336beaPLoyVOe7R/wgz//c6rVkJXVdba2tkiVRhn4+ccfMY5ipO8jPW86Z032bAqWW0sk8YSf/vTH/L1/+p+ibTLOafitU4oJJUAZdBqjkoRUpRD45AGrRmMcF7hSmm6vw9Onj4njiDiK7O84xpMecewDGq0j+sMho0lEt9vn1soq5VJ56omhbThvd9Ch1+0zHo1otiRaC87Oz8A/xDOKs+Mzeu1zapUK7737Hq/du02v06Hf71keS+kh/ZDUSIzzAhNOiyeEtspLjAuvUXjC4EtB8IKw2r+Wrvt/U2U+PlrCVULJ7WZq7BSXRiOMRpgUKQ2BBF96CG1IkssaoYxJW0iJJyV+WAbHxJ79LEq3Ng+ys1Ry8GLl0CKAPU/8v0gWAeF5dvjn5am/CtDPyvuyYte8y+VfYrd3qQczkL/Iov+8+v86ZWGee3E5rnGxXGWyfp2KQ6vxnCkeYD6toLJUmzLX+Gs8IfEl+L79RHmQSpHPY22UTQ85Nzd9YTMnr62tEQ8tf8VoNGJnZxsB+L5vGfl7PVqtFisrK5ycnPDRRx9x9+5djDE8fPiQUqnEd7//e6Ra8Be/fIQRgs2tbZSRxBpSbRf/ONVEccLpoMPR0Qp3f+NbVEs+JycnfPZ4nwcP7nNyfMLtG7fY2dmhVCpRrVbZ2tri2bNnTCYTSqUSQRCQKE0YWJbcbK0pVyqUvBInTiHQXGoyGCQIKTF4GJefF2OVVJ3OBZPJBKU1olxjeX2bRPiME5v7uVQu02g0WGo0wGj6vR69bo/hcEilEhCEHpVKk6VWDelBFE0Iw5BypUKj0cg9LpRSjEYj2u02p6endDodtrevs76+TpzEIATt9gXD/inJeMz1G9e5e+c61VLJegH0upy1R4x0Ga/WvDRzsvzYwijHW6LsZqkSQk/SrJeplL7ZPn+9Iha/zpWIX3XtKJYx/3tRXQogegpxp7Uzs1fPKwsyV/EcCGTM8NnnrsipZ91UtZ/dbeoRlwEZmPV4KNzXOBV/4b4U/r5cQ3LgKOZ+LxJDHuXsCH3dc+Q6QxjwpMgtwQ7PILHeiZ50XANCOAZ8gTQeWsc2XzzYQ7wD+8XzkDFuj3StMBikkRjjZ2Zbd720AEpbICBcDWxOewcEhSkM4HRcnad6DrRxe4sRU1f+KfO8JRYURri6Zy2dptez4MC2R2Tj4T5KlY0HN3n4QXYmsSGHGA+ER6ZgMCJTTGZW/My7wuWqz7gFRFauG15jbAilzKzY08wEWQm2mpaF3DhtgNGFsJC8vGyyihzk27pNPT1EHnyBUyy4C6XOe/DyEcAqOow0GBfyaRy4EhmAJ3tyVN4usvZmRI8i44TSdv8SwoEoq5ARWY5LYwoM/27MZuZDNp757JuvcOH94vWi8MrMGCGEe25ttgn3t3bfN07RLO1ZWLowuSn3AhSzOuSjZxyngNHUa1UqvsboMYf7+1xf32B9ZZ3haMR4OEbFCTduXmc0GtHr9Pni8y/Y3N5G9D2Oj49o1Bu8++57PHj4gPZFj/EkoVqrU6k2GMcJijGe71EKSvhCc3CwRxzFlEohjUaDj3/xS0ajiL/44Y/Zf3bA62++xeraGn5QIlGKjQ3J4ekJSmPj3D0fLTSt1hpCCCqlig2/USl+6JOOYwbDIa3tTVTqgZoq0iTWO0cqzfnJCcl4gNSaQay5duse2ki0UqQKjOdTa66wvrFJpVLi/PSYi/NTquWQNImptFao1SuEIXhejUqtRL3eoN5osr6+iYcgGk+IkgiVpnS7Xc5OT3m695Tb927SqDVpn13Q6/fQskP37BQ9Sbi2tc3dO7cRRhOnGqUFqYbUCLTwEX4Ino907ZLK8mppoa2bPiBlgpQTfFICXxD6z/fQ/eak8tdEFhG9CV1cSJ4v0lhG2Bzso5AoPCAQgsCTCE9gFlDgW9AuCAIf3/cplQMQijRNSZIkB6Yvqyswoxx4XrjHpfdf5i7lZBEb/LynwaK0cAvTAy6o37wy46oipcSTs4/ZfPnGGJIkuRS3X7w2A/l/FVjvL3tdGF6a5VEAjsf8xfL1AX2r4JpVXuUWhIKEgcT3hHPdF9hwcEPoQRgIhPDs4S7wSZWNz05TnEfMbH0r5QpJNLQs82pAEAgajQYygYODA+7e2cWMBfXVVdI0ZX9/n5///Oc8ffqUSqWC7/u0Wi1ef/11hp0uB0fnrG9d44PvfpePv3hKrCDVglhp4jgmSRRxHDNon/Pmm29y7do1fvhn/477D5/QizRaG1ZXV7lz+zbNeoMkSfB9ax1/8OABnudRr9eRUhINxwRBgO97+WEiTRN8v0ycxIyGQ9eHwlkXpAX67gRsgX6XSRRhEPj1ZcpL6wwixURZ7wClLbvu7s4O9RAC36PZbILQ1OtVWst1VldbhCXJ2fkJp6cnTEYDtrfewRjDZDJBa81gMKDT6fDkyRM8z+PDDz+EyjVS0eD05JBup4NKhmAM9+7d5c7ta5QCwXg4YBJNiGPtxj7EL5WYV3HauWPXSWnsjyc0oRS0GlUaFY9oMvza5uo3chV5DtC/ypn7hWLmfq76HbEAGS98a+695ykT5hnHZ7lvMlA3hWAvuqN7O/O8YwpIzTyS+qq64xwYzhYpTQaAXTtcbmsBCKcJkAZ8BB7GHUaddVdYRnoAo6e8Gb6DrNITzvPIuW9rmzc+044YYRx3mlUoeNKC0BxoaoOQGejOGOitnwFiCtun/S9zp+8sLCBrvMmBvGupA4oiA9liqr7JAXEGk42ZnuNm3DRMQamevXbXOzwtXJ2Lihyw+/F0NguEsx1ngD+7PIPqxgBK5/cVrl55xL4g94oQCOdSPB3pzEqtHdCf5V3KFFQZwC/0g5jWQTslV9aX82q07IXRukAcaAqniYIChYzHIVPGZBkd3BzE2H7E8TRkYQIiCyspeMoKZo+gWX+bQr/n6pCiFMa0UJbAOCoEU3jPfUNYRY0vrZcLTkkhzJSEz5NMPRWyEBHjxrTgNWA0KMcEaowm9CXSK+MnEzbW1tDJgE77gmq1jklTWq1lhIqJk5SDgyN+/vOP+DAs0XuyR7VS5+2336bb7TIZT7h39x7f/va3Oe8PSYXluzKeD54PvqQ36KKM4e1332Z9dYV2p0P74oJud8hgOGT72jU2Nzfxw5AktSEDpTAk9EMSpQl8C/RTUkQoUCrF83wkApUmNJcanHU6pGlCEIYoVWD9MNY7QzovoHgyJEpGREmMX2lQqy2jtYc2gsTYs125VKZWr1OplAk8Q6Ma0KyWAcPa2gr1RgWk5uzskKOjI3zf57WVexgjLDFwv894OKDf7/H4yWPGoxG/9b3v4pUD0qTMYBBxdn4MfhuTxrx+9x63btzAGI2KY3qDIUmiUFqSCg8lfYwMrYHVgFBO2aMVAo1n7Hz3xJhAj/G8FN/38GWJ58mXBvqLyMAWya/Sxf8qVs2/Knm1v06Zt+hetYXSWE2mh0YKjScMAYJAQujZhUUg0MF87LV1ofJ9SRB61roppgz7GXBeZIVf5EYfBMGMhXoR2L9sTRcLQ0/m+97zvEvKhSiKXu6Cv8hCvaD8eSVBRlbzMrG5gGffmw8zWJSRoPiTSeayPF/Wl5GsHVq+mI+5WI9F788WetWZOOVbLtZnrvQrlLP4ubs0Ziaz0k/FlxLpiZn+LQcege/6RUMgDUppAgmBBM9z1hhfopQgkQZlPeqcUobs7EAYSFQikcamIjQutmpvb49bu2t40iOoVBn1B5yenvL48WOCIOD999+nVCqRJAl3794lTVOe7O0TKcndN76Fqm+QlpY5Pu8wjhUX/THD9gndzgXdaMx/9Z/8b2k2m/zPf/zHROMB6+trNClx2JnQ2rzGysoqgefRaDQ4Pj7O2549N0EQoPUQ6YX4zr3e8wRpklJrlahW9IzHSUZSl1l2tNak2mq0kzgGBF5tBVFtMUglJiijhcc4ivHSlJWVFkx6dC4uaLfbjMYDe6iRmvbFGaWSZDwZEgQB7333u6ysrDAej/O0emdnZ2ituXfvHltbW2iteXx0RnW5wsXFBXvPnnHn5jY7m1vc2FmnVBKMh12kFIwmE3qDCXEioWpDMaQQrk12DlpXSY1nDL7Q+E7xU/F9aqUAj5Rk/A3Q//XKr2K/LQL8eWA9f88vf//L3yiC+5zqlOlqPBeOl+EKLPmrdL+LJb+wVsKt44I8DdxsPWZLuDph6mwRolBPaTLGdltra23OAJe11guZQWzrwmz9ppxjrduj8jztwhKPSYxTMjooJgr9kKFfB64s7JwS/VlgN3cmzQFX9tRPx3+6lThgWlRmOCWE0RksnIpEY4SXh0lm3TC1asvcnV0YPQVrxZ0xVxzYcAdruPXdBzJTdZCT3uWgUkz34lwB4LnidF5TUbyfMS5eOTMm2O97rgeLW6oU0irKc6DvoLLIFAgG5crVroPzHsoZ+d3dhTsLCM08q4brnQL7/hRQW0u9CzPIALP4LAABAABJREFUUbJ2yoSMl8KNEQ5YF5kLTKbwEUgXOiBdOozp9Vk4mhsMWVwfcPcv8C24+02lCPLdkyvcvUTRjX+uzUK586JESuy50ZiCesT9diETKlM4uDIFGikFgtTqsrRV9BslSF1Ygi8FpSDg/KTNUqNF4Ad4vmSSRDx+/Ij2+TnHJ8f8w3/0jzg+PmZra4tbN24z6PfZf/aMcrnGG2+8ycUg4oc/+4Rnp2eUwhAT+gzHY/YPzzjZf8a/+C//M8rlKg8ePuTBw0f4YYXNnW3kx5/w2o3brK6vkSYp40lEkoys04TjuAi9ACEkcTIBrIHA9yVGp2id2nkoJSr3rhTu/JUpSgVC2bj1Xr/NKO0TmQkbK/eQOsAYDy08lJQkRkOasLq+imSIisf0excI55l5cmo4vxDE8YRUxUjpc+3aLs2lFsPBiNGgR6d9xtnJCaVSwLe//R7lUkiqDL2BoVReJpr0OD45YHvX41sffIfl6pItX0i8kodHzHAUkyIRQQm8EOPCJ6VIkTICo8jYRBACT0DJSwlljOcpjCdIX2Bt+8pAf5HMp+G6ahz3VeUq5HUvshp/XXX4dacamwdeV8VXnktjF0jLKO8LQSUsWeBPikShDci5eZJpk6W02nIhFGma5DHnmfU5SV5OCHip7mLKwP/y70HxVLHIMr8IBF/OMX/5fle1ks/POadnvwIuNZdX9DkRQlzyGMiUOsW0dr7vX6rreDy+Yh/OMv0bxJWej+eB/Zn6L9RoL7pw3rruvBdm3s2Ofi+sFYu06Jc8S9B4eh7oG3zpsjS43MTlwMOTrp2ewHg+InDPONrt8waVWs2qZzRCYkF7YDdKYwxpqkl1bLXMkxgpBJ1uh4Nnz1heXmZzc9NuTHHM6ekpT58+JQxD7ty5A0Cn02FpaYnRaMSDBw/49JcPWN2+zrvrm5Q7sXtSbWDeD//iJ/jEROMht167zTvvvMPx0T5xHHPz5k1W1jb41//2TxkOh9zavcW33vsWlbDE6ekpX3xh0+5prfF9nziOCcOQJEkQpTLlUplqtYbUEeNRjFaa0XjMeDxhPBojvTJJEqOEQWVukTqlN+7Rbp+TpCmeLwkba5hSkzRWVBvLROMRBkOpVGJtZYXRRYSUUKlWCEKPZrNGEHq0Wqt0+23O989J05iVle+RJCkdl2s2SRLqdZu2cGlpieFwSLvdRul6rrRYbrW4desWa8tV0nRM52JIHA0YDwc8e/CY3jCisXaNjeY2fhCifJ9IqdxNWqApSZGDkMAYGtUS1UCi0zGDUZfkG4v+vwdSPMTrwqZasCfmIKVoxfuq93QuxcYBETN1k87Tozp3XCVclK2Yuo9Pbfs5lM1LzmTWKmkcuDJ5vvdiG0Xu7n0ZEL9MMjf9bDu0CtYpyAdLhpfRp2WEplaZZq/NLPoSEDKzWmex2dp5TwkLZOR0X8xi+TPCNitZ+JWZpsHLOseVR24BzQj1pgoBc0kd7bpRiLwIQ3YGuXyl5T2aUxrl2Di7D9NzjZ5C/VmVS6a8wAJZkYFUmXs8GGHHLiPnmrr/u7oZz5WlnHJlaqSRxrnLa+1SBRvb9+6q4hErA6pCZIR69m8LeG1cu5TWvR/HKZHTLppMpeNgd+ZZIhXGSFf3IpS1/SOFA22OwM9arqfs8tNBBSlSR+GQ9Zt0RH+Zd4VxLPsZ04XMlQG4eWQVFgZLUE2u9DBZOIclInD1k3kHTefBNIRj2nEFDwzHmj9VwmRPoVNMCYPv2X71pY+UJm9PfsZSGrSx4SCF+WjDEcCT1sUfkyCMIVXCKgS0Pe+oJOX+Z/e5c22VjfV1jPBJkjGHp2ccnp5SCct8+zvfwRhNuVJmc2ONo6N9Hj56yhef3+c3vvfbJKkmLJVASqr1OuM45vNf/pJ+t0M0GnBnd5s33nqTo5Nj+t0ud197jZ3rt/nTP/sBjeUVbty+zfXr1wl8n5OTM/78B3+B55cQRiINBF5gDQdxjB/4VMt1yqUSw94FpUCQTmLKpQpaGUuanaVdcGEg0ghIUxQRe/uPGSU9ZMmws3WdQJYQBGA8jPSI0UzGI+7evUf/9JHlC/EFYSmk0ajheZIwDJhMhhwfHxOGPu+9+y4YQ6/f4+TggGgyoFarsLu7Q2ulRTyZMOx0iMdL1CprKN2mXJG89dabNBp1dArj2GYm6A+GtM/O6LQv2N7ZplZdQsmSVRYKDSJGiCRfmSUCT0pCKQk9RclLUGlCN4pAp2xeWo2sfOO6/zdAhNHOZd8u7tK5tdklQJHFml1isvcycCmQnrYbLDYGLHPdt/mxX03hsYhAb15suNvLDx6LyvrSBHYvrMcs4M02rJcBXC31pX69iggh8H1/BuzD1RRt81IMDch+tDCol/rbLyYOnBcpzSXG+8XXaWYvM9i4udm34NXm03zfZNbYGVExSgtHpOchpYcvYjzhYiWdEsn3A0vSlyrSOEYpQ5oIjHZkKI6bwhNlpPHsFp+mVoPuNP/C9XWj0eTerS0kEzwPjk5PODw8xPd97t27hzGG4XDI9vY2cRzz6NEjut0ut+7cpbl+jfOLHk+fHXLRG/Jbv/t7vPHaPf5v/9f/CzoacLj/lI2NDc7Ozhi327xx6xa7O1v8xY9/ymDQ58aN67x27zWWWy0Cz2d/f59+v8/KygpCCEolm58+jmPSNCGseHi+T5ommDiyafBGI5aWlqxSRgriOGFeGSOEYDAYEkWxVUYJQWV5k1iWSKUm0gItfbRJMQZarSUqZoROU2eMcgpDoXm2v8/Z2SHaKG7evGVJ+QY9xuMxvu/b9IOrq7kLfxzHTCYT4iRECsHS0hKVkqTVahGG0B92GA16nJ7s8+CLzzBRytLyOvVaDT/w3dyUeTiCFBIPTeBsTR7Wou9Lg0ljRoMOw94Z42HvlebpN/JXRUzhdwbyzdxnLwL5C2H1l7i3A52ZJdlkFklntSSL47WgwrgzbWaJncLyok14kafWFAQatx5me1cei5wbg19dkTGtV6F9aHdP500ghI0yz0imgJxAC5MDVgsobd9IHAdMBnSFhzFTi7q7rVPcahsWQBZT7kbQmphd3HiBpE5YVnhbDddzZj5OfNqiom5/3gBhL3V1EpLMkmyEnrlfzuqvRW5FNxkRXHaRK1tkwF56TB3aM8d0M61UBjHz/U4wu0Y7628BIBsjXB8VXf2z0rNZb62sImN7l3bssrba5lhLv1VaOCWGq6cdzswmbS3xAjPFZllsvgPhmRIk6yeEUxS496Yp1ARCFGqdAWpXfymsR5ZgSgg5cx+R6Xoc5WpRK+aUJTbsQ+dVEBnAN2Jav7k5Ys9Kmty7xCmgMqBvlVbTMcy+mZFXCld3gUIKbCYKp/AyxhE0O22fMZZfwWiN8DISw0wp4VYHYX06LKml5Y24eeMGd25sYJRBS8M4iuj0e6ysb3L35m16vQvKJY9qtUypFHL/9IQ4GnP7zh38MGRvf5+ne4fsHxzz/m/+Nq+//Sb/7f/j/86Tx/eZjAfcuH2do+MDQgk3b9+kubTMwydPePTkCevrq6xvrCGkZBwlaAODwZCda6v4wgepkTJApTFxrBxfkBu9AjGiMcYqp9yctsq1LBRDWq8no9CkxCbBSA9EiDAeRtnPMy8bZUAZQbnSQGlDuRIiA49ExWgjSVXEcDQgTRM+/OADms0lLi46zjDTZPnmNeq1sqN+MnS6F1x0LkjjEtITVKs+b715h1JoU3wKI4iihAcPH/LLTz/Hkx6bm1v4pQpG+iADhPQd3lIIoRDGQ+LjIQmlIDAQmAShLMdCt9tBp5r3WCzfAP2/AWKXMmuZlMIS86EUBoUxNm7amMvJAaXnI4TMPTK0FjZfrVIzQN/3Xz6NFnlYXA2IiysB/UVEdc8DxV825GKRVdsC/ZeDbm20s3rOlvcyKZIf5e72C/rwlRUZ4rIFfJFcxXtGSH0loO/JqWtgJpfrXzhJfQlZNEY+1otl9jpLUCOxrLbSGHQSIaRzY/c86xqmE1AKlcSkcUyqDEb5lpRI2UOkh0Z7oLQPxqDTFCVkdmJ21uWQzc1NBoMhHmOoBpyenNBoNLhz5w6TyYRHjx6xurpKFEUcHByQJAkffPABYXWVB3sn/Ls//TN+8PEDPn3wjH/8z/4577z3Pv+H/+b/xCc//gE/+uGfIKSNu3/33XdYqQb8/Oc/49NPPyWsttjcuUm1VuXatV18KfnRj37ExcUFnudZzo1SiVKpRKfTASxPQRD4RHFMOhoROJb7aqXKk6dPuP32+5bHYGaxsPOj2+kwmUwIPI8UaK7vkIgQ7RliBZ7wMEaiVEqzUWc4KfP06VMOjs8oV0pUKgH1RhXPl5TLZYLQY3t7i8lkQtLr0Ww2aTQahGGIMYbBYMDFxQVpmjIcDiFsIoSgXqsjajYM4rB9RjTscPDsIRcXJ6ysrPLGrbtU6i1M2GBCgJISnMukktYS5AsbN+wZg4/dWEf9LibqkI47qHjE1VKufiN/NaUI6DMr6CLFbXaof1EZrwqO5xUNWTUyC2RmW55Smc1WZgryp2D0srVz+toUvj0FffMY51VbYYsoWsNN/ncRlFqW+Oy1dv9rVOblUKiOkALlFCDSWeyUdgCq4Gqu8r3R5ASAWlnwL4TJD7oa0NLFnAswBXaOjA09u898C40DV8o1ZY7n1fW8Y7t3SkKEHUfNtEg7Es6tDIFxDgbGTEexOKfy/TcfnywTT+G63M9dzLyVtyDbH3Uh9t4R1ClTVLC4Mo31Ilm0rWtnVS/2kGXkl2REi07FQZZAb0Z5nwF4MsAu87+n8fEFt/8cLMvc4yrvRxeuIJ1SQWZEjRRTaJq8vHwMhHt2TNZRBWVO4anKVBQGp/wxRZXIZe/Q6VoC0wHLvESmD5goKmTM1Bslm8PSYBUxnquPkGgjnBU7A/lTjxXpgL3GgLZhK0ppa8lXCp0mNpsQgmq1wtMne9y8dZvJJOLk+Jhyucz2xjrDcczBwRGtpSoYRbfbpd+94Dvffh9lfKRX4Yc/+Rk//NFPebJ/zn/0n73Hvbtv8H/8b/7P/PAv/mf+8F/+D6wtL1Gtlbh74wbjwZD7Xzzgpx/9guWlFpubW9Rrde7eex2E4P/9P/5LLro9ru1a70ipDEJL0lgjtKAaVmnVWwwHQ7TSXPT7tFbWqdfqPH70mLvvfo+L9gSpPTxjn2tpNDpOePT4l0TREKSgWm9w/cYdjPZIlSEVTmnqS6Tvs7a2w4PDPR4+ekKv38EPA8qlEqVSmdD3WVtdZ311nVIQkjrvwmqlyrWtDSrlANCMx0N63Qv6wwHD0YilWglQbKyv4FUCfD9i3B/SPumy9/SAfn/A9evXuff6W0jpo7Qm1R4KHyF8pGe9OnztgbZpVX0gwBBog1QRqRqQxgkYz3IkPEe+Afp/A8TmBdUFraFjcjXK/jDV6hZFqenBJwNRxRz2mTv4Ihb5ebmKm/7zv3e1g9RVeCFe1fvgEsAGtFC87JCnhbauVK9wvywe+quGiWShAVmYgpQS4wUY7/ksnZlcxXVfupiyl9ZDqku9ZeZPS69ozYcFYyS4VC/pOeIgbdAqsRunGuF7lhE/CAKklDmze6bUwkik8HJbigSMVqgksQzLgEpTlPScJhbnjSE4OTqhGRpuXFthPOiwublJw1mwP/nkE87Pz2k0Gjx79ow0Tbl+/Tqe5/H4yROWVnZYXkspVQ7ZvXWbrZ1d2p0e/cGAk7NzSuUqN29usr6+jhAJjx8/5t/8m39Da2Wd737wHe6++yFhY4XDp/t8/uln/NEf/RHtdpvd3V1qtZrlETCG8XhMGAZ5iEiajJlMJgxHI3Zv3eWf/qf/e0ZUUaliOIwplWuX+r8/6BNFEWXPQxlDY3kNjU2HFCtDxfdAQxRbq79WKUqlLC0tUatX8TxoNmtoHeP7K0TxmCiKODkds9Oosry8TK1WswQ4zpIPcHx8zNnZGWvXV3OXVowlPzw/2WMyvAA15vXXX+PN114jNJLhJOW4MySWgkplHS2tVWpq0beWR08IPGNjVoeDAcRDKr5gdXWVWu355DffyF8XWbC25efxVwXwX+aei5QLl+9dBM8ZlpAL9uzcRiiykLeXY/ev3EoxBakiQ6wFa+VM/YwF3xqbRk+70AWNIRXGoWeT41WtbCnCeHju+1K764Rw/CmWUyULNcw8M7R2IWuAciDMsvODwlpGdVZnIayruMgivS/vQ1kYoXaAfxrSQQ7uDWLKXp/DXQq/nerDpYB7vsyD/ez3LL9MhuYz744pYC6Wk+tY7CdGOyjuQkYE5ERCAtt2d+bKq6ixpnE9LTFzkTcmU9YYlOvTKfO/U/QUvQkKoH6mpcLF5Wcu9fk1Yjq3srkh3LsF67jnPPIy6+40CqeoBHMcF3nX23HUYtFYOHdpgfPUgyyTQt5ZTqSYppWb+ckJFh2XQqZoKDycIuuvjERRGVcf58WDcASQ1uiljcld8U1GOGkcr4yxPFxgrAVfgU41qbZ/izTl/PiY6+tLNOp1+ienBGFApdyg2+3Rvxjxy198zgffeRulIjqdDvdee41qtcqzg3N2b2ywsrJGEJa5c+ce5VINKQOOj49pt89pNKpsbqyxvrbKZDKyRofPHjAcJ/yz/+jv8P777zMcDDk+PefZ/gH/9t/+MUmi2Xv2zO69gYcA4jRBKe3G00NpZc8OUUQQ+Pwn/+W/4Hjs0e12MYT5fLCUj1aJkyQRcTxhMpnghTW8oOQUJrZ/jTD40oafKCSVWgshR6ysrZJ5q0ghnJFTE/qBUzZJgjBka2uTcqUMJiVJUnrdHp1ul35vwP7+IUtvvANoPF+ASXnw4AvOT84oe3Ua9QabW1tsb1/HCI/EZdkQwhKMCpfpLOf6EBnYNwit7BqoUoTWVEsV6o0VhPd8wvAXAn0p58HNXMzT80QUUmjYOf5rl+cxv3+d5f/ly6wG/HmiyBKHCVJtkMJRrRifLBOpBtK5I4EltXDaTedWJrVym0Nhg1tklZ13yV4g3tx2arXk8yqHy/H4i+Qq6fWuKovKWgR2/SuAUilnCW2yemX3ye5VjJ+XUubu9tnnNnWQRIvZe9rEcLP9ZRbwEMwz+XtSv9QiaQBlfIqaaet6ZqlgMlIYT4AvpHPhE27hMqSZlt+V5yXJnEukce6Xxcoat1G9TATFjjUuhl5IkaeHk1KRimjWK0Law4NycYlKK6SskiCRWuIltg2TKHOV88GEgEQK385NOSWyU8LyQGMMWgYo5UGq8Y1ATzwG7THpQLF9d4fVcpmTdptavUG/e8Inn3zG44f7XLt2C60rKB2yvbPNxvY6T548oJtOqDe2GYsYFZa49867lKurJGlEmhgCz6PsK75ze5Uw6vDg8QM+/+xTKvUlvvPd3+S997/NKFH89M//hEefP+DivE375JDVpQZnpyd4fkBYqTGJElIRIr2AUilgkiYMOxeEQlEul/HKJVJhODg9ZuPuGzTRxEqRigbaBFRUTHV8Rrl7iI4uGK6sUF6/xpLno4zCl5oUhR9IjEmRQUjqVehPAjoXfeJ4RBpVqNXKpCUbY1jyrLviSrNGa6nOckUQ+B7DUZdoEqONptPpsv/skM8//4IwLPHa66tE5xNKZRgO2xztfYYxQ1ZWquxeu8nmxiYISS+SnHYjRkkJ5VWpeEsgKnaOeDFSxMT4QI3QTFDxmHjSJ1EjKmVJtblEqVlDlr8B+n+95Hmguvh+EYBNgdyi67ID/1Qn8JzyDUxTq2Vfn4V/9tXUkjy3+8yAwiJ3eQal7I/7JEuh5lzii0uscIAic6fOq32prXPVd3v+pX0wB7VO+e0+libzSCjWfdbGqs30rinO01BAZv2XopAbHY02Et8BSXtf7az7OLBpjRbClWHcrR3scfc1Tldick92k5F5ySyOfHFPWE8EZ0md4jcyGjgpMo2Hce3LUN10bKdc7xT+ztpTFAeUDW68tPOu1Pmls0EaGeAtYMu84mb2pCIEwjjXcWk1KsL9JqtXAaBm/TZNZSccraJCGJ0DZ+UUNy5Qw7YzA9FTY3YO/oup/y65wReBeDZ2jpk/8zOw2791VxdOMySFdVXP/s4zzLnitRE5z03B12RGinwHQkwVNtk8F0bn4QBZuIdxRBV2XLM0fpm2Qefkk8XnJRvjTDHEtHunnhHCnaGEsYBfYwlwtTOcucYJaayCwNhwA4w9S9vUgY6Uzylf6vU6lWoFjSIoSUoliVGwt/eUz3/xhOvX3qBcWuPw+DPeeuc9GvUWe8+OSBT0+iO0EVQrDe6+9QHr6zuUggq98w4XJ0dUQsnNm9fQJuHxk30+/vjnlEt1fu93f4ff/PAD2u0ujx4+4ouHDzhvX6DSlHK5wmg0RHgWdE+SCCGgUqsiPY9EpfR6XcqhR61SpV6tM+h3Ef4yySQiTjU+Ab6RTjEv6A8G9EddhskQGS6xc+07GAK0yMI07NjaABuPSrXBME4Zds+I4y5B4NOo1VlfXaNaq1qCYWF5mcphwPVr15AS4igiSSaMhgPGkwmHR8c8fPCAJLEKgV63TW3JEI17tM9PiScxq1vbbK1fp1SpuDBJTbffRXoeXmgNDbrA+6CEZTARwuIvY8Yo1UXoIWhNuRzSXF4F/1WBvncZ7ChzFXfFojotm9xF7shfvbwqyPtrJ1cA1E7XNz1mXEFXk183d61vYrs8Xz6nFGSqlX+RyPk5YaZxVvPyKpkWruJ2flW5XI7LTPuy+HXBQov+fKhBNl+ltGzt82kLjcmOMQuUC/NVWKCkyJQHecYElc4dFBaJwCjH2uuUSoaEJJ3YeHuJJe/Rlo3eCInGMZrioYRnuY+F3dCDJIuXK1Z8tvJWUfAqLtFW2+0JD4FvUxqKhFhPLEmNyA5iGUu8PWhqBJ6sojO+Am37K1YL+kbP3A5f+JbnoIgLTICOY6sQUQFS+9y9cZelqs+kc4EeTehMujw8+IKDkyN+83d/j82NmxzsH7KxdZPl9TpHp4d8+uBTyltrmIrGhILmygpvvfNtglINEsnTJ0958OAz3ru3zZKM+PmPf8TK+ga/+Zu/ifRLVBpNOt0eXljh3u0bHD9+xPF4wLjfZXmpSa1eZ5xopB8SDRNEUMErlfBKIWedC6JBj43lJrFO8cshXhiwvrXF3uE+a9UyeHUUAcaU8ZUiHPVR53sEIuZCa1678yYlrdASpFRIz8YcGhLCSgVdbhLpCqVylWoJwjCgUStTDQO2ttfp9S8YiJRmrUI58IiTPogSw1GfzkWf8Thm7+kBKoXXXnuLarVG1a9xdnBOqZpycPQp0htz++42K6tLVKtVlEmZRIZ2H/oRlKqrSK+F8BsYE4I0CBEjREpCA0UJQ0poNKQR5XJAvVam3KyRBgETZVh/hZn6jfxVkiJpmph7Xfh9SR9pT+TzUOvF98nicrOfRQrNggJzwRLkkphNCcrAhTDPMZcL58Y7U33bPjHzTmEPukIrFkmxF7JeyRy4p0C9cBdTVOaLfASUyL5rtzCvoHCxbbbnDpEjfQNKzSpNZojdLDgUArefTpUoGVDP71BQKkxrUaizw/AWvOvpNcYxKsxNFxA5n0IGaoWxuQWyVptLY7FYTA7yHQB1MeIzKqjM8GIWT5/cbVxANg8FWOW8VA7wO0UGBZK/TPFhUoqjlrEfCGPcmcTk+6nJFQS2MsrMBgHkHnEis8EuqLDJriw+lSbnMZDFDjDu/ITGMhkIa2vUmUJH5GOtjA0FMcaeCez4XfYEREznsFDaxcnbOSiNdp4ldi4IIVyIyJQUcdoIk4+L6zhH7uf6yIjZz3FzU4BWxl1i8tUi46bQWuehI9LqgeyZwyhriDHujGndT/JzoxGwsrYGjLnoXDAY9jg6esb5ySGD7pDf/1t/m6X6bbq9p6yubyK8kMOTNp8/eMLG+jZSeBgFngxYWlqjtbRG+/SMYa/P/uNHfPfDt1hqVvnZT35ENazwv/kn/4RBf8T2tZsc7D+jXm9x984dOt0u9z+/z9nRITdv38MPS4wnCUYI0kkKAmq1Oq3lFY4O99E6JfAqkKYEgcfG2joHQ8FoPKZcqeAZG7/uC2kzeEhBb9Cx7OOizvLa6xgZOIqF6fNjTdKSsFJHCw8ZhDTKLaSAWr1Os9WiVqnSvWhDmtg0zI4QFAyTyZhu94KLizOGgyFxorh9+y6VyjKVcoUnT/eojwSHZ78gVUPeees9mvUtpCxhgEmcEo3H1ttW2mwC0rPhLhnpp8Ia0awSS2NMhPB6lANB4DUIy1X8wC+knbws37jufyN/ZSRzLZ9htzdXy9jwdSp2rlaWmN2YXkHmFRHZ66uQFH5VuVoohc1bOgX6CkOKUQkI4VjnrauVURqjrYuTIkXLgCkxjIvBu0KTrhIq8NzauoNKNl8kKdIohJAOcLpqmKk3hdYaI9MZ7oCrhpmkaXqprp7x0MZyXwSBpFIpMYk6dLspMu5wfn7G8ckeourxO9//W+gkoD8YUm8uo3TE8ekZ9x9+Rm8w4N7uByw3W+j0II+zC32Phw8e07k4YWtjlZXlBkdHR1SrVW7fvsMoSnh2eEJrbYPNjU0Uks+++II4jun3+5bNNlU2Tl8GpGlKFE0IAp+VtVWqS3UenR256xI8z2c4HPKv//W/5u63fotya51rrRZRatPD2I5XjEY9LtrnhGFAFCWsrKxfOrkqpZDGIH1JtVolCALagwFlP6FUKhGGJcrlEo8fP+boeJ+trXXCMMgJoIbDIf1+n263y0W7x2Aw4Pbte2ys75AkCdEwYv9gj7AcY2TKm2++xs71ZcrlAKUMg/6Efn/MeCKpVJv4YYgsVfE9j/TScBuMSUAneNJQqpRohpJqReAHAZE2JPHLs418I1+nzK8LX2a9f4Fm+mvZNuYVBIX75Gvfi9a17NB/Wf0q3MHfMohnV5uZzy36lTlPWLHYSy7iOf5/hYabxX/k8c7zMneLTN0hzDQtnBbkVk1T/FIRv2ffMSbfVixWcgt6dpHJYGFxPQekyD0IsorNPPLGkBujCmDdfmbHZuoZIJ2iwN5nPu0ujlshi9m2bcuyyTgPvKKi5lL42mWx+0zGOF94f+HFTNF+rkxwb2XhBhnQFDhXYUcQaMSUXN5Y4uVMUTGNvp96eWqTAWIHl3NLJNPrmPZV8bOp8/78FDU5AM5CUEShFIxN4iedV0IWOhCEvgVLZAnypoqR7FyhcIz1ZN6EC55Xx4GQPWzGKYFE7j1CIbtA9p4pOBhmD6kLj8jLwc2LrC80mVtJBtG0sR6N1k/Cfk8Vgb7rO5xln6zfjcnvZy36woWtOIJPT6ASGEUTPDUBGZGmCafnx5ycHOIJzXe/911I6ggEtVodEZc4OjriwcNnPN07Ym11G+H5jOMUrSXC+AReyNHBEZ99+ilra2uUSwFffP4pYHj77TcRynByfIpWCasrywSlKo8ePeb48JDJaIQn7UgpleB5ljJcG4M2mnq9RlgKGY3HBIGP1tYC3+v1+KN/+0es3H6PMAnZqa665zGbMwJPSHqdC0q+jyEgDEsIL0D4LkUkgBT4nkRLG8pZby7RvTjAq3g2vaFvPfYODw5on52y3LT8QEprAiFRStHv9zg/P+P05Jhup8trb7zG+uoa4wmkKuX09Jgo9VhqNFjb2ObunbuMxzAcJGhjiJOEwWjEyuoacazQUiL9ACm9AvEqucIte6p8Ac1qlTD0EF4JrQypfv555Bug/438lZKruMwvkkVhGl8FMF4F6F/JuWWBZNb84k+2EWWu+n81gD54+RLhDjVSUq7V8XxBEFjyNomx7PTKWsITDZNUk+jMCiCctvHlbfoqbc/mQBZTJUxaSIVH7j5nAK2VI9UzaJkWyHGu3jeLrlPKIEyK8A06ThmOBozO9ihvLyHjEf1BFz/w2b55g1LY5PiwS6UEy8vLnJ+fcHLWxgtKfPDhbxJ4AZ/87GOOnh2x1NjEqIQ0GiNMzKB7zqR7gi+XqNfr3Lp9h0RrHj56yJ17b3Dz5g3G4zEf/fJT7j94yPe//30wgh/95GdUKhX8So1RlDKOE8aTCUFYZn1tnWqrzvlhk1E3ZjKJ8H3Fzz/6iMZGj+1777F67TZ22/Dduc0ACccn+yTpBMIy5VKNSrmxqMfwpEeapFT8gGqlQhiEVCsBYRiQJAmdToconlAKQ3Z2dhBCMplMMHGfg/0DBv0RnldibX2NN998h3ptiaOjU5TSBGGLyaRPa7XJndfe4eatFSZxjzhKiCJFrzuk2x2SygrNpSqxAoxhEkUQVGdqKlCgI4ye4HuGehhS8cAXinSSMBiN6Q2HcO9LTNBv5CvKnEvNJZl/b95EWPx53nWvgvqLIP+SWfLy32L+swx8CedeW3jPiXTgJFMFaFH0jsqspzo71hduOa/gWNxvX67VcwCfzKRY+PRSzHOhPRlrO5lr/xTXkVnKM0uy+6pN2WdTDSJAapkffbO0d7P3ms9B4H7nrvViZiZkceGCIgSd/uTBCZlrep4poNBqp9DJyyqQswmXjm2a5cAqC7IpbWZqs0Byhc38HCPH7TOM9fmvYh2ncmmaOdb6TFkiMob8rE2Oqd4UgHymU8mgauahmbGZ2+ukm5cZcM7OVtKlBcy7aMZLJWujzr9n8reFyGKxdV53X0hKnu+Ao7aWfxdKKBEkSlluqcLZwuQ9X+jPeSUPUyXUNIvAnPoi45W4NHwZ+DZoZftXiikLv73E9ol281IajXLZJrLJYYTI/8rqmnnVTgn+9MyjLckMSY5xQhgSqej0Ogw6z7i50YIAtIpYW1vi7TdeJx5pTg5HVFs+hyfnxKbPxUUPKQJ++3d+l+FwQmcwpD8e01pbQ0jPpXdXVEsho0FMpRzSrG6wvrxGrVrlR3/+Y955511u3LxBFEU8fPSEH//kZ/zu7/8tSqUSH33yMX4gGEcRXhhACtFkDBJWVpdpNBoEpRJaKTrdAesrNT759BcMZYm31nZ5/+3vIn0PnTh1k3vmTo+OSUdjUjlmfesmW9d20Z4HvudIMgVSSAIp0IHE03a+GxGQKNt3RkvOz9pUHDHfu+++Q7lcptM+J/QEF5025+dneJ7g2s4O777zHrVmjSdPniKpUi17KBWhlM8777wD0qZVlrKKwaPXG3DWvmBr+xp+qcxFr01Yr+H7IUiPLDDLyIxvxSCFwZOGUEh0OiFSMTIwTJIxx6cX7N759vwkBL4B+t/IXyGxucjTS+9fBXgvuuYqngDPK+tl/A5m0br+JSVz0xcFwg+YcgT8KkNPrgaoBWVfOg207Q/PNzRrVRBpvolJwPclEuWIlgxSK4QWLmezyL9/lXq9CmnjvMIEAK2si500GDlLzKeU08xrMFLNAP2ryqL5peOIsu/h+5LJYMTFxQl3r2+zs1nn8NEZpbLP7buv0QfuP3pMNPaolCXDSKN1wvL6JlvlNSZxn/EwIpQhvvAYjUbE4xFGTTjaf0y/e8xqI+DaziqbocdFp8uDx0/Y2z/iP/jbf5dut8ejp8/46ONf8tbbb3Njd5f0e9/jrH3Bo8d79McRnueTqogkjqlUa1QqFZRSrKys4JsYkjE3b97kycEpAJ1Ol3eXmsSRBum704rCiJjD46eUyh6jJGF5ax2tL28tnvTwpWDc7VLyfCrVan5wCUslarUynge9/gWt5WV2dnaI45jhsM/J/kPiOGF9bZPNjR3CsMJkHHPePmcysTwMiAm7N7Z4+91bhKWIJE0sY3+a0OuMOD5qc3bWJWw0WV7ZQWtFWA1QQjI/+sIkoGOEHhMECdWSj0zGJJMJoyii0+nT7va/9Jz5Rr6KzAP9WevhYpkD+AtJt+blq66787PJzBW5qA6Zd4z7zxTQQFE/kP9p8qxj03Re8yRys+CxaHeehf1frr0ZgHSO2gUgNFeSeFH509aYmbGU+XsZGM0UGko4CG7MNLWtUwJMAeiUzVxg2cun9SDv3yy9VvaWydGycGVmiLmwd2XjkKVyc7HRAmPTteblCQewmJaRm+YKBH2ZG7cpjsiCnnKKg1lr+bQ5l3euxYobk7d/+uW8lWb2SiEATyBys6IFQi5wJB+l3IGCKU+EdaKf8tVn5wTIrNlg1SXetO2m2MbiM5u1zv6WUuK5UDxPGjxPUC5VLMDX2aFM5vwMRljOIpHFyptsZkwbfXmOZs9dpkiyf0ojCvPiipJxYmRPTa5vKmi3ChwKrpWuFjYUIGuWztpAccyz1oiZ77nEglbBJAV4KUaCH0o21zbY3mjxdP8hgpTNzVXieMwvP72PSZqcnUQIb0SlHnLv3uv4QZVnBye01tc4b3eRYUBveIoi4bx9xOnpAft7T/CChLt37lIvh3TPO/zohz/iyZOn/KN/9I/p9gZ89sUDDvYPuXnzOivLLT747ofcf/SIw+MTShVJbzQmUSnCd+dTaZCBZPfGLqPRCBVHtNZadHodzi4uMD4YH5RJkdKzfeNJdKponx1QLfmEzXUmsUJ4PhSIkjHC+tcI+2NXFo9yuUa14lMOBNValUCknBw9o1IOWWo1UEmC1ikXvR7dizbXtjep1apIz8cLArqdnn3EJWgTs7Ja4+69a/nj7wac8XjIyekhx6dnnF10ePdb3wEvcGkArR+GMZa0FLfm+UIQSIMvFdIotE4QaKI45qwz4PS0/dxp+KWBvufN5k9eRFx2OQ3Y1Q/6V5H5A/Y82dhfFbmq2/mrikSDuQyM52V+zODyuGVu879OyclECrIIsBfj14ux5kUCuyz9nFIqb0sW6160lF9Fvs4wAKUUqUrzumcM+JkiIbtXEAT5fCm6lc+KhxC/ujEqki2ZbKcUsQVogcAPfDzfusRjlNVkC23Z0xOF0gbjQiZ9AUiJRrv4d7M4JHVBHV51Hl7iaBASSZCfr9TM/SWWSR887+XjfVUFRBD6CFKUTknSMdvXNlluBZydH+L5ht3dLVKT8vmDp3zx+VMkNRr1EeVyHa0j/EARJV1OTvd4/fXXWNu4QSUocdaZ4GO4ODvm9HiP3e0V3n19g6VGSDKYcP/+fX7y849otFaZTCKeHRwShiV+//f/Fusbm0STiJWVFf75P//f8T/8v/5H/qd/92dUl1ZI0x7lSoVmc4k4ifH9kGq1SrO8y+7mKq3lZUbpLzg8P6ff7wHgyRJeWGNsfBCK8aDDaHyB7xlUrNla36ZZX8UTPkIYPA+XhtCGfFSrVUIzHWshDNFkQhQNieIxQSC5fesWQRBwcnJIp3MOxnDt2jU2N7bxvRKTSUK/P+Dk+JSzswuWllpsrK1w6/YOtXqJVI05b58RxyNOjs84PDjH6IB6Y5nW5hraaKIowisnaJNipLIHf88p+YzC91OqwlD2DJ6JQcWcHh5y0RtgZEjA88lvvpFfgeTcHc47KGc9vwyALoEFUQQNPOc7X1VM4XdmYXvePcXl98zz62SgYPUmx1D2ZdZOkbvFX6rVXLGzUP/LgBd7r8yR3UK6gpX0BXGiiyUjKRRY4Fcsy75WziKZ1Vu4/OiX6lVoqG2VQQvhGIou93fGazC13+cojBwFF+G6I6zTbmylA2iWGdyFuWdKjxnk7PrYbY65XiRz7X6uFPwKhCNPvETGO3+ynlUZXJo3l2+Ri8wzHtjzusXMOptVGGwmErt3uv5Fu2AESyCWEUMKMSWzK4yo7VaDI/VWUyu+S7EnC8+tFto9884a7gk8YePlAwm+lHhSuBS6Jo+QmWJx7RIFGEegp/GNQeoiL8dLREwVQkVl1tVXDnvOmDIkZl43xQHIgHnW9yCNdP2bkVrieBMK9XYNzrNEZEqO7A4mtDNfKzQJ0tM0mlWaE8GkPyKUgno5wKQpDx8+5JNPPqZeXadcalCrhRyddRmMPies1nh2cMTujVvcvvsa+6fHJHqEkQMMHSbjNstLdX7zu9+jXmry7Mkj7n/+BT//6c9ZXlrm9Oycx0/2iJOUb337fW7evE2n06NaqfJf/4t/wX/7//zv+LMf/ohStc4kigkqIc2lJiL0GEUTqvU6pUqFjbU11prbfPyL+xx39tk/2ucdraiUQ1SUIozG86HTOaF99nOE6pNEDVa2tyiFZSaJVfzNeu+YPEODNILQC5AGJsMJfZXgi4RyGPDWG3eRpHS7Z3Ta55QCj53tDTY21khTxdBlKGp3uhweHrO6ssHyyhpvvnWHerNCtSy46Aw4PWvjeWU+++IRygjWN3doNJdJjUCGJZA+sTKkaIywxJIB4BsIMYRSI0yCFopKpczhs6ccHp1SqjTZ3Fx97iz8UkB/0WF4Mev6nPwa3JD/JspVm70o/d2rush/rbLgli8C+sXPngf+F7Vj/rNfp0IoY0/N7r9oHDIG96Is7AeupoBY5I1wVVf0Yv8ClDyB7wt8X+L7whIL6hRQCOGY9407fAkD0ronWiWOcQRLU0vHy7bIr2Nspm2Q1iLx3Ouy38X4uq8mxiRIX1Aq+6ShpITPeNzHJGNKviCOxjzZf8YvPn9MvbrKxvoNapUVVAqDYZdJ1OXp/hHjyZB6pcFP/vzH3Lj5HtWm4I17d5AmYdRvc/12k831Ot3OMQef7vGLX/yC73z7O1SbLe7f/4Lm8iob27t4QZkgCEijhFarlceir6ysIEtVqpUqXlCm2WwipeTi4oJ40GN7bYlavUa5XGZrc5Pj3jOiKCZNFdZtP7B6IKEYjbsYJhgTE4ZV6rUlpAzRKkXLwtzHui56nkc8GjMajdBKI6VHtVajWg2xia8UfhDQ6/VIkoRavcbO+gb1Wo0gKBNNUsajMePxmG6vy/37D3jvvfdYX19BKeh0zkhUD6XHdHsdOh3rfnjj1hvcvv0aBxfP3JrBNMuHmS5HQoBHSujZH5Ixg0EHPezSa7cZDSNqS2ss1Ztfz6T5Rq4oGSB0k1gIMvb4xZIB7gzAZH7SxYP71wn4M+SdAYmpw60VWfjt6r0Q3F9C5dPSZ8C+A90ma4V0aXRF/r0cHufB+1n/uX4xNnZcvGT/F0IW9mvn+G60o/jNHNsFIrdYC16+qBa0FZcMQWb6mRDOsjXNL7Do8FDsyXk1RjbSedo3IcnSlgkj8wh0+x3DNAgim1/u/sJl0nGfe4KclNeOqsmV5LmBGV2o7RwpY+aZsEgb49o+e/Z5ztx4LqLP7jO1Fk/5Dab9aAHQ9O9sxzaSwnv2/sKZ8Y0RSAfzrXu5BfvahVJkpHZF1QtkzPzapgvLS3Zja6xSRwvt4K/GCOuxIuRUMR94Ek/aNKg6TZ2zg5yB0MaR5tm9x5blGYMgZdH8me22IhQU014peIEsGIbnv1t8/ub1aiJ7gqbfyZ4iyypgpiR/Ips/kHlZCJOtg8UiJegAKX0kCRiDlJqgJPFGingytsYYX9LunPGDP/8B9coSd+7tMhxO0FrTCFuMJmfs7e2RIri2u8uPf/pjXnvjTTqjLmubdQaDQy4u9mk1yrSaSzx5tM/DLx4xHIz58IPvUqvX+eiTT9i+do337tyj2xsgA49Krcra6jpP954hBJTKIdITaFI7vqUAIzQXvQtUYpn5g1LI2sY1ms96HE+OiOIEhGc9TzwQOkX6EqWGkHYQKuHiYsgbH9wgztLX5R4qdvoLLZwe2IZNjPp9KssN1ldXkCYlCBRhUCNVEcdHeyTxhGajQskPWF5aohwEDJOYJJrQ6w3pdu15pPUby2gTWa9Fo+h0h5yfteletDk+7eCFFW7evMO1G7cYDCK0EIjAWvRTpVEoy5vheBZKxhBI8FAYHaNFwt7BERftYybxBL9coVR+Ppz/xnX/b4D8OmK+/7Ils7hmSo2iVXw+jd1ftjzPOlxsw1cZr/k2ftmyip4SFT/AkwLpgRSWA1SpBFBO257zueaHB4PEMzpPtTTd1H61y80lZYnBWSBeJjFX0fBfxdNAGoUfWLfCyWTIaHyGVzOEaPqDLqeHjzi76HL77mvUKiukaUCUKEqlOkulAN1JGE3sBna4f8S333ufausGn/6bH1L9MOTjT36KJ1JWl6sYNeLsZB+A/+K/+M85Pmvzp3/+I27dfY033/kW4zih3elz684dltc2mQyGPHn4iLOzc5I0xZMJQlrgnSQxUTfl6PwENe6ztlRlMonY3Khw4+ZNfvnkmG63g1YKIzxUKu1hWKT0++doE6FNTK22wVJzFZVIUp2ihSHRikQrpDPYaaUZ9np0Oh3CMKRaDS0hXqpIVcTycjNPW1Ov11laqtGs2rzYo+GI4XDCeBwxHo95+uQpvZ71NOgPugRBCCKl0znn6bP7pGnKvbtv8vpr74Muc3raQQirHJSe/WGB674UCk/EoMZMRl3SixO6x4eU/RJ3b91hZeMa5VrrCnPrG/naxMVFTzP4mMJ7z3t+TeGnUI59UdCWvyrYN3NfLYL8ecuuZpYsbu60/xUkgwcWmroYaYNjNrf3yt2GBW7tTl0MdompOvY5kgPBzPI7JQvLIUqxfMBpAq9W+0vDV/yewRJ/KoeHs/7Ndh1nBWW2GOHGVxfaloFVG2cv8vqaaS/NWFynnAdTcG7j1bXzFLD9IjPAn/WBMy1bsrp51cT0IuGUAiafF4uU3WLu9+VPcj1BQRkz03+F18WofZG3yeTW70wxZAnp5hRVRk7nliNUzIjr7KywhJDa6bCkA/sZRl50FJl9Ekzhd0GJJdxr6VLeCcfcr5XzDnBZdZzbPlgPvlQplHHGrlyZM62EmO+e+bq9JITSsGi8ni+LL708vrlXvygoheZn90y4TnFMLdCXSDw8pNB4vuTi7IwgumA1AVKFUjG9cZtOt827777N5sYuvd6YWr1OGFZIYoUh4NP7j2i0WhweHXP9+i02d7b44tEDbt64xqc//5h43GXj1iahJ9h/uofE4+/+nb/P/sEzfvyTH/P6G2+wvr7BJIroD/psbW2xc+0aZ6fnjEYjev0+vu/jl3yCUkCgU0qlEnEcc94+I00Uu7u7xGlEoiLeefdNPvn//Ig4Vigj0Y7rQQuFSscMemcIpZBGEgZ1Vtd3mCQpEolQ1tggDU4p5c7cSYwQmu3NDaqBZ70/pGAyHNLcbCIxJGlKuVxmbWUZX0hqlYqbf5Y8u9/v8vD+A9rtc2vk0ClJOmEyGNvsBgcHaJ1y9+513nj7fcZKcdbpEKsawi8hRYAWAcbIqQ7OuHVbK4TSaBGR6glKjzk9P8XDcOPmdda3rlFrLD133n0D9P8GyCI3/X/f0g/OA/2MuT57L2di/ysA9OdBfjYO80D/VepqjCFJLrNvXjU9YQbwfd8S20hr9sSkrg+FBmEt+pnrodH2R2lItU1hY3R25BTIYr7gX6HM95c0gmJan+eJIeFlQP+qz0slLOFLhdIxqUqs25zSTKIRvYszosmYza1Najfe4eSog4h96sur+F6JXv+CSq3O+uYWUdyjUWsijeBHP/wLrl+7xmpricmwz43dbQKpefb0Ac1ayK1bb3Nyesbnn33BRx/9nPrSMpPJhCdP92ksrxCGIf1uh88//Zwne8+YTMZI50LfVIZxrEjTlOEkIppMMElCr9ejXyvTXFoiqNmQkvOzczt3PYlSWKuLTuj222hilEpo1GssLa0wSiFRiQP6mlSnSCOYaIXQmkF/wHg8xqQJ47GmUilTLpeRMgQgSVOazRqt5Qb1WhmTdsG527fbbQ72j3n8eI/PPvuc5eU1SqUSSsUMhz32Dx4SJ32Wlprs7FxjbWUbgU+vO6LfG+E3JVJ6eNKzsZ1SXAb60mDSMcPBBWJwQRBP2FpfZ2dzh+bSJpHyiZMvz+vwjXwVMXNgpvD+pTenlkygcMLOYMXU6l3w9f1q9XqpPCc16hXvf8lababvT636Bciau3ln37SroQLLS0ICxrJni5eskxmBmnQW+6m901ljHdI0roLC5f1+uSywUs+Imf2d6QTmv7KoC3OrbMF9XDxvL3LM8a4frSFbUuRKyLxXhXEW5rwF1nKss5R0BrTLc65YBPQdFLNbKxZYX4WTx+QgdnpmsODcGDsWxmRx89M7WtBY8GZxHAdZ2EWubHCTyNhCnYEoxYjUKTt8BD7TrAM4Zb79QwvLhm8ykj0H9o0UZLndp+0vSIa2jS48D1n6P3uB9SAxzqlH29h1oTBKg9bOuyB7Amy9tAP4Okuv59pozHwtXjwH83DGBZqKnAhSvPyMlT0jL5IZo4woJP6bSak4DeEQwpEgznepcV4mQuBJqJQD0AnxeIjSAUKlqCgmGkbUq3U2r+9yctIhimOWGqsEXhmlRoRBmXt3XiPRmuXlVa7fvMWPf/ZTqpUqoR8w6g9o1qpsbaxxcnjAnZs32dnZYX9/n729PT777DOWV1fpdLtobShVyoRhyHgy4rzd5v79+6RJghBQLpeoJhX8UgkhBPv7B0yiEUmsGEcjnj57yt/5/j/g7GSAUYZed8BgMMYLG/gCPGFQScTFyQEkKZ6W7FzbJShVUUiUthkNbD9bkkgF6DilfXZCt9shjcaYcsjmWpNquUJ1Y4nx2BokWkur+J7lGZJGM5mMSOKYk5MT9vYPOTg+5eDgGdVyhSSOSOKIXq/H8ekJcTRhd2eHRr1MuVpmPOnRjUZ0ByPCYBnPlNHGBwJy85QbfK0NqU7xdYrRMamKiZIxS0stVpcbNBotUgX9fo/nOe+/EOhfxRJ4dWvhVa97FZkCpVf75tdVDbcgZNutsA5D+SbsFjDLQDpdlKaVmC5wLw6sKl5/havmLPqLXMWz9y81aYF22bz0vuJKHWuep+GdVVyS7eLFzdJqUqeXaWMtftq5CIssLl/b9022IfFq8wSzqNWLDpiXN7Hc5V4snqdWI451I9YardV0v2MaI5Zp0i/XYVbiOJ6tghCEYbigSYv7IQ+J8DxUHFmgT4oxlrTOC9xp22n7jVKkcYo2hkQLC/Slj3Wls9r+lx3nXiQL63lpiolL2nJrCbj8vflvansKeGEdXgb0s8/8QCCx2uDWUoPGasjo7DHRaIAxmt3dXVa2dvjlSZ+9Z/ssNTcply2xitKacrnKzrVdLi6O8DyfaJKwurpGdWWT8WSE70viaEQSSTaWl7i+vc75fo8v7j+gWq9TqdY4P2/z0UcfEZSrfPvOXYwxnBwfU6lU2N7eIQzDnL9Ca41KFd1ej95wiFcOEIFPr9tl2LQp8EaJZeCXoxHK2Jy8Shvr76lTxsM+WiswUKrWKFeqDLVGKY2WBiU0qTCINEXFEb6UxHGEMIbV1VWWGj6VShnPswdLKQXlUolms0kpDBiPRph0QpIkHJ+c8MVnDzg5OafZXOba7i4qtcqtk9MTRqMhUTxhdbXFnbs3WGotk8SS9kWHQV87Qh5j56b0LLtt0aLvDr0e9tAw6ncIJ0Oqgc/66iqVSoVBv8dgYgjL9RfOmW/k65aXKe3mIZyZAsCXLfmvdDwx06IL+wtQQOXPWTNM8YWY1jX/8nOUByZr45TAq8hxXjxQ5OufW/M8LQi0YBQoEl/jkxKmlo8CM8c+PiOzTP6XqmUu9/zldn7Nsqjcl9zrsi7AWe9NtpMXmPpNFtefgWgLMoWcU+45a3wO+AwYI9A4p+u87OnNs7OIxp5TMuu/ETYsACgOXP4dM/1y3hbtgH7mPWGvy86Y2XnHxrlPzYTOfd9Y7gqbPdD1gHFqDiMxRqGNQpuEjL2eAkfAdNYVlRmLZ1HRYyGTQuvc2cbkf82MmMlS4dnHSWtykjKjtQX7ZDR1LgjDgDLuTGVR+MJzxPStuc/M9H55fUwWOlS4jGzvf/nppjh+z/3cvZpem3lUmML7gDRzfA2X1RbCZJ4mhsCX7F7bwjQM7J+RxBFpotjc3CVsVnh6tM/paYeN9R2iOGUQ9/D9kHq9Qb3WIEoVwkjiKMGTPmtra8STGJUmeBLOjo/Z3FyjXquyv7/PL37xC27cvM5kMmYyGXNyfES5XOXd996lFPg8frpPr9dle2ubSq1Oazkmdf2bpClP9w4ol0v2DI8mTmw6OqNTAl+gUs2gP6bXH1NpGoQHATYsw6QRnhQkyvWRsDnmjUnR7lkVgNDOs8cYqpUKlWqI9lKqpZBSGOJ5gtFoZDNLZcTZ0hoRu70uQmui8YRHDx/xZG+fnRs3Wel0GY0jpBQMBwNO220GwyGbG+tc391lZ3uVTrdDZxKjFRhhwysQEhwRn8DOW6RyR2yNJySYBJNG9lEWktbSCisrLcJSif5g7MIqF8sLgf7XSyT3q805rF7RuOLPfU8Anv9qjg4+HRLhMfRrDL0aCWXU2FBPYV0L6uMYkw6I/DGJF5KUagyRaCkRMsFjgm9G+CYCU+Prcri4qmV4frw9z7v03ZTgpaDoaszG2ZYzK+n8Vw14vnURt4xqjr078HPnPVBoPLTv58udAhIVuw0Pm74Wg57LNVlkuM/i/X0p8L3ZhTuKY+ciNq2YkLNEiFII5LwCRZQwojz9E1DzrvkCm4ouGVP1IRldUC6FKB0SeRXGokosKpRSSTUpEkvpwuatHaDWeNKb2bayRaooSqlL410qlfDd3E/TlDRNsSoDCYTTk2Qyu2nbvKeuLGkbpHKXumkjw9CbAcvPI6ucB9SLQhm84PL34jS69N68SCEvERppnb5cdaXBn+O9zOZLFuoghEB7Bs8o9KRDOe1S00Oi3jHx2Rk7O7s0l1ocnHQ4fHJOr93l+vYuRnXQQtCs+8Sx5vzoFN8vsXvnTfrDMZ3+CfWGRz/pMBqfU0k6vLH2OiveiItHx/zF45jPHhzywQcf0osFteUN9g6O+fDDD5Foxv0umxvrDAZjTs/bGANJmnB2eEiUKLZ3b3J8egZGU/cS4mhELaiTTob8q3/1L+nFgkGsuXntDp1IEFVLeAZacog+e0RytE+v76ODHTY273KedvFrIWa8RCoNSZCQeglKDamVQ2SaoCdDVishpVrC2JuANAy6F/jCsLm6TLO2RNXXpMMuaZxwejZkf3+fk5NTmkvL/PZvv8f21jZ/+Id/SBRFSGm4GF7ghT53d2+zvbZEo1LCGMH5cMTpUHE8jGmubLEmfHqRj6ivMihVGSpLGumlmiCJ8E1MxR/hRUM8Jak11tnaWAWtGOgU4SmCMCKNOsC3XzrnvpGvSS49pDmaRnD5ED7VnxeBc+GaKynTX1QZWyFpyNM6XVb+TsHQ9KuyUAZznxfrZPJfIv/bHfhn3OiLl4sc2ACOxM4aHHwjqSjDqGTQnsZPFOVEY3RCIvzFFninqM6trQUlwrTe09rB/DW/GrkUaFBE0nM1MpBb6nXh8uzTjJ9AFMCoDVKzTv9CTscwN9i4KIxs1knnlWGMpZNTRqDy+mQK/kJ1nWHCRp4YMmWKMdYKKws8Do5326aHy7UF5B4GLnldIWwgA/WFMBKjnUbbxnhbgDq9d94fxsZ2C2MVQNpYIjchhE2nhme9FrJxl8X6yFzhkxHjgWPul4XZoXFKg+n4ZCBWGnt2A3cm00wNBhqX016QakcC6RQleVpKBxaz+OZcLZYpEQzYw6C+9KQWZapqEHnVzcwn05Etql5e7Ob/olNGTr1n50H2nOeeGaawRAhHYuiegqJHkLF96CHwhXQeG4p+t43WAwKlEFITJRFLrVV0IDg/73N40OX0vMNSc5tyqcra6hJxnHB23kUpAcbn9u279IcjymGF3e1dUJrTkxM2V5e5desWAs1gMODp0yc8evyA1bVlmo0m8Tjik48/5vu/93sMej0GZsDG+jrNRovPv7hPksYMBkPO2h3K9TqrK2scHh0RRRMbNhr4hL6k7If89//9f0cg65SDMr4IaS2vgOdjhD3XJ/GEk8OntOo1Buc9WssrBIFveSOkxLhnWSBAW48drQVxHKHjiGa9TDUsoVTKs+MjJAnf/uBt6o0yJV+SJgmj0YT2+QXj8YDPP/2M5eUVfu9v/S02Nrfx/YCD4yPq9Rrj0Zg0Tnjr9TfY2bFemMNen8loRLc75KSf0li7jZBlO8cdIWU+lloDllnf9yQiHZHEfa5f30LKBp6YYAykiTVo9nrd586uX4/r/q9yxf8q4h6cyxrqV0ltZjB4ubucROMbRcnTVOOYhoGqGjCZ9BHLNYIwZCwlqQyYZCDJUNDSf33yqi76z43tv4KLmTshvFxeeo3JN6XiO/Pu79ZNa07bmm3+0/Ng4VhSvG463sYYxnHqNtWpeJ431+5sMy0AXiGt5q14lTYYM69cuNynWqYIrdFKE41HoBPCqs80P7HdpEXOPF2MnSvqgrON9jJYnm/zIrlaartFc2JeZXN5YBfNp0VhDFdxYXzOLV4qtg6zSoKrqaUWl1Wsv5SSOI4JS5JUKXQc0Z1c4Hke21tbeNJjb+8ZD/eOuL93jud5DIdD1tbW8H2fXq/H+fk5Qgju3r2L8Hx++dnnrGzftBpmoVlqVLm7scFya4mDzx7w2WdfcDBZwvMDavU6d+/e4+zsjLW1NW7dusX6+joXFxeMhxN+8Ytf8Bc//ikHBweIoETg+8jAWs7jOCJNE+q1FcJmlc3VFiutJVIjSXsRrZZBKU2qFH7goyYpkDIZDtBpShCEjJGUqnXCSoVRElMGbG5gC0ikEHgYovEIrVLC0AeRuDAbO/dTFOvr61SrVUbDIf1uhyRJODrqkCQp7777Ljdu3EBrzfHxMUEQsLS0RL/fZ2V7i7WNda5vrlDxDaNeh1iNGQ4jktTDCwKq9RpMYotbROGA6w692VxI04RQSpZbLarlAM/zSeIIYRKESpmMhoyHA3Zfce58I68i8w/8AmBfWOunf84C0heX+WVkSt82w3U+U2TR2mcKyoUvd9+p3bRQqpkqGmZr5URO9wGJwBMW7PsIKmnKSpRSjSRRAH0gNeryWmhsPPq0uoWD8rxyYq7dv9pj36Ly5+eDQ/cLFTpze3mOowzGOJWHcCzwZnrddP8SFL38rHU+U3pPXa6faxMpgHJTsBRb9nQxTSyRV8+Rmmp3VnEpb7XRNgc7tgKX984M3GdiLaQ2TaH1grMKhuJM9ZDCpSsTkMYTpPSQInRHoOn97OsMoJAftyzzfuFaXexzN3+Kj4UpjoEdO+OUGXmLHNDXCBDasekXvTVl3mEZdYd+Kd/B4gHKQgbyqj9HLNGfyZUuLxRztac+5z3IFTbTek4VF0xDLQrr2zQcBNsdKkWLFE0KKsUkEZ3OGa1qjTSNOTm/YP/sgp99/Dk7129wetZje6vCYDRhMo4YjSdI4XFtZxuTGn76459w49YtPCPwhcfK8jLXtrep16s8e/KY+w8f0OsPKJfLtFotbt+6jdaasFTm1s07lEoVQNC5aPP5Z1/w8S9/Sbd3QbfbRSn7HIRhCSkkaZqyvmGd0dfX16gGJWTsYRKPaqmKJwKkCDBIFNaLxifFqITBaMBwOGZre2faV9IpzoyxqZ+NBftaac7PzqjVykhPEUUjKs0ma+trjAYdNwclSZLQ7/UY9vuMx2O0FvzO7/4ejXqdsFSm1x9wenLK9tY2Z+fnLC2t8BsffmgJqqXAGAv0u90LxpHG6BAInFehwEir4MuUdlILPBMgtWYwOqcSDFlZryKktsYlY8+Zk3hCu93m+PTkuXPqmxj9r1EMPpZIQeBrhc+EUEUsiwmNaMjRJz/i4bN9bvwHf4/qygYGQaVSIo2s23OWGkca+Zzl59crzyON+8uO7V9UL0vy/vXE3yvhkc55Mii5gNZt7g0hhEslV7xEIfWc5f/SF7HkMtIqiNJoDCqmXK0j0UjnMm8PLos8Y7JTg9uq540dC/vr8ri+Sv76vAlXmBOLlA3z7/2qORSe18ZXmdOLslkEvkeajjl8+pSG6rESGFAKEfocHx/z2Rf3uRhEbG7epFKpEIYhvu+jtdWG7+3toZQiDENOzzvcvHOPUaxBJ1RDD4+Una11zs4PeXZ4Qr21wre33mMwGFCtVvnWt75FpVLh9ddfp16v8+jRI9rtNp//8gs++eSXDEZjjDGcnZxQqjUZjEf0ul1GozHrm+sgoFFvEIah9ejQcHp2BlS4eesmpVIJoVNMEoOf0u91UGmC9DxKYYVqvYkMysSxoiQ0oJzS0+BLgZgkXJye0uteUFGaWk2CF+BJj1IppFoKCIIA3/dJY8FwNKTX7eH7Zb797W/TarXodrv0+30eP37Mo0ePeP311/E8zyoI6nXSNGUcRyRpymg04fjojON+QlJqsrS6RfUKY2uMIQgDGrUaoWcPu0II4iimc3bK2ckRvU6H9/7gS0+bb+SVpWA9nFvkZG75esF3v5ZNdV65Wix0fm0paqcFzw89yL43Cz6mjnG2bXkbxfRXMU7fXjntB5m1Oe82m5e7lGpUp8v4Rx9x0u2z8Q//Ln6pgkoz0DDXuxkKzD+dbePXc1ZZNH5TNU3eDjNVM7xc5hT/z71D4RoHHF0yOxcaPbWqGqz36HTZL5YqwHjOdV9gjLfQipu1SogsLj4j8ZvGkuuFLqrCXWMc6J0qZoScJgl06N19kKmisjPCVAGShRQKyMkEZRbShI9HijCGs84ZlUqdUqOKDfMoAmGRx71f0qfkTRfOEPCimWL7MX8SsvplaoNMG6tcNxcUGDYEVDD1r7BvZi2frY9VSpgMDS9QkuWK3xfUdl60q/Oi7xSfGb3gvYWSLy/ZVcVzZZbfwc2kwhkkq4fW1lvSCI0UCb3OGUKd0fQn1Js11CSh2+txcHTMZ4/2+O3f+T4n5xe0Vlbx/ABtDJ1uj6d7+6AFb7+3wcOHD3nt7j1SrUniGK9eplapsra6ysHBM45PDrm2vcO9e3WOjo9ACO7cu8vO9ja7N26wvLzEwcEBh4fHHB6d8ItPPuXsrE13OOLs7IywXKOsUuLJmDiKqVUr1Ms1C+HTlLBapRqW+eRn9ynXWty4cYdSqco41XiBBK052X8GaYxWKSvrG7RW1oiMcNPWoKQBbRBaW+4oA532GWcnB2yuVVhqNqzBLVVEkzHVaoVSWEKlKUkU0e8PmIwnVOsNtre3WFtZYTgc0usOefToCf3BgObyCs1mk9u3b+H7Hl7gkyQRg2GXdNTn9PSUw+6Yib9Ebe0entAYPDcjJDZ7is0CIFF4EmQgCAKfsuMvkDIgicb0e13G4wn9QZ/zs85zp9M3QP9rFG0CrFZN4huFZyIqekAluqCZ9Lno3Sc6fgj6+wR+yigd41MFrZCAZxyBWLZR/OXi6YWu1a+a4/zrlIXAVS22lL+SyADEbEz7AltH8SRm/5QCMwf0SxJCMw9mRfGkYMX38Y0hMNZp0KQKaeyPh8YzLp2diMi3iUt5pJ8/Ya5i0X9VoH9VorqrAH341c6xRV4Fr6pcmK+/MYY4TknTMUfHR4QNQVDxqSwt8fknH/Hk6VOaSy1277xOFC4DUC6X8X2f09NToigiiiLK5TJKKVrrmxwcnTIYDnl7fZXz0yNeu3WdYa/D8cNHXL95h90bN/mffnlM3QHcKIr4/ve/jxCC09NT4jgmCAJKpZDhcEin08vre3J6ytvvvc8f/L1/wINHT+j1eyzVmiDg7PSMbqeNFj7tieHmO9/jO9/5DtVq1QH9CULGDPodVJKSKMXy1jrlWpNxosEv2bh9YeeupxWBVkwGfQYXbQJfsL6+hggjTts94mhCrRLy+huvUQ184iim3+sRRzGVSoVbt9+mUqkwGo1QShEEAaenp+zt7fHOO+9w7949NjY3SbQiTYaMhj0mgz4PHj/htBch6ms5NwH65SFpvu9TKtlwniSJGA0GpNGYfuec9ukxOo1pNpuvNG++ka8mBafVS4DXXbDwW19NisDezL5fvLm49OLq9ShkAxAZIMvuYbKs72ahZXCmdk5xbJjdZgyQSkNFKVqRoXw04P7xAVKMCWVAirDGinwvyaDSdK+ZsbBmr75S187168KybGq03JA8D/Sfe//pB3l2s/lPL22DL29MZn3OV/7cqmrHzfraFYDtJcW7BdaZx3XO4ePAssot0zCdC67vHe+aNjpHdUIKhHBAQWSguhhq4V1qqBDC8pUIEMbg5+RtNmZYaA/hWU+VKOrjS4ls4LIIuPh416/GnVVnSAALug8QjscgA+eXDR2X+rj4tiNOK/6dKSsyPoLpWdlkA2LHZOYQXVS2zaLy+efnZfWbr2t+6aJrZ/qCBXPuebKoIsL1R67JKXju2z6x00KA1iiT4BEzHvSRqk+jpjA64uj0kP2DQyqNZX7n+9/HBCV2KjVC38azx6liFEUMx2OEkSSp4saNGwzHEwb9PtVSmYvzNrs726gk4sc/+hHf/Y0PWF/f5NnBIRsbmwxHIxKl+Y3vfo84jhiPhozHQxqNOr3egH6/z0XnAoX1hKzWl1hqLPG//of/kL29PcajkY1RF9Yb6dNPPuFsv81SpcVKc5333/8Q6QU59xlKM7g4Rygbwtla2UQZz/WRS1WorTrJPrs+h4cHXJwfsbHWYm2lTKd7SjSeUAp8apWQ3d1tGrUacTymPx5zfnrG8soK169tIz3JcDRiOIzodLs8evKEx0+ecvP2XUsCGIakWpFMUobDPoP2KaPuGU+f7rN8/XUqzQ3CSpXUqOmzaizZpTQKQWp/pKEUSALPZxJFJJFCEjMcdjg5ObJZhwT4/mUerkz+xgP9THP4lcUIpNskpQHPaEKTUGGCnJxTkxPe3K2RqjVqrRLGTAhkGZVOkFohXE5QH4mPR1Igb/v3QRYBLGMy1tapzIOuRQByoQu4YaFF/9L3TXYAmjLd2pza0zJTpVGetjFnxpKKCSFyAKq1dmBdWu2p0757GbNnoQ0SQ+BN22WJEG08Tu7tJgR4Gqk1MjUEwqBUSuiBEoZUaLQHHgmCyHovaKvVM8YS55AtaPYuC/vsZbIIeF/V0n0VRcJCEsIrlPW8a2b6j8uvF/39q5Cs36SUDAdDSjKhWqkShNYN7OL8gDRNef2111jf2mIYw+PzEVLKHNQnSUKz2WRjY4NWq8Xm5ib398/ZPzqlWa9yfnzEG3d2+fRnP2QUj7hx4wbL9TKfP3rG9vYNrl27xh//8R/z4YcfEscxrVaLSqWCMYanT5/y8cefcP/+fcqVGqmGbq9Ho7XKW2+9xZ07d9jYWGcw7FMqlQDo9/scHh6TGkl94xrfev99NtY3SDybeqYkFSYeMxn0LMmN1tYaUKoySgyiUoFU4WFApXgqRUcDukeH9M6O8XVCNYCwApVKhdWVZdAJ/V6f8/GAeDggDCTr6+tc29lhNBHOXU7T6XR48OABDx48oNfrUSqVaDQaNibOKKJ+h5P9R5wfH9FaXeOdd16jvnmDi1giPR8Tpdb1LbOO5ZusOxZLzyoFZEySxEyGAwb9PmdHB0yGPUJfsLu7y7Xt7V/53PpGilJY3wsYqmjVNoXP8je/shRhgAuZmtcsvBTgf9nKOLDkMpsUs3k/ryyTYRdxuQuEASMMqdQ00pQdIbi2vkQ0OKA/OGEURcjKKkKGGALAGh6mZTvr4QwC+6qS3WCOa2a+iTN6lCwu2b42RTb3v5TjksBYvzsLLGV2qJnJ6D73nSnzu52vlu1/yoOfpUuzrc2i9SXShmkIC7a1dHugdN4BGfh211jE6uX3se7yEikypYGdt6HSeNjYcCmkSxno0i/qCb4/QWkJxua0n0b+uwwDCAzanb9sZgaRebBkJIWiuN/PK8vcyeW5IbMCjOUdEsYCe+VAuxEGI3RhHS92uZmzxTgFSL7WT53ec6WFKHx9eveFr3+9IvIfk4F790zD7LMvDKQoe6VJ8ZUlvi1pjYjGnJ0dcH5xzMa1DUq1FjGa07NT/FIVUamitMb3PIJymdbKMq1mi82tdT7+5BOe7e/TbDRo1EKu725ztN+n0+3w9//B/4pup8uzw0PGUcwbb77Jv/7//v/4/ve/T6I0nh9gUrhx/Qb37z/kxz/+Ec+ePUV6PqnSeEKANnzvw+/yzutv0yjXiYYjW+9SyNH+Ift7h0xSTbC6zO/+1m9w+/U3GGgIvABpFCpJiMdjTKoYUWV9eQvl5r8QCox9XjwJWiVMogknZw9IxhfoYMzJWdt6TtZK1CpVqqWQ8XjEo0cdhv0epcDj/W+9Txj4BKHPxcUFKlF0e30Ojo958PgxZ+0Las0mq2vrjCdjpCcYDIZctM/pn51R8QXvvfs+5dVd4soqJvRI4okdQ6yCUBibG8WOn3seJQgvQSvFsN/HqAnd7gWD4YhyucaNGzdZWVl57uz5mw30BUjhufybX12ktgzp0i0YwliiG9+HyXhAOumBiJmMznn6+AHX3/gATEIlDNHa4BmPUAdW/+r56Etxz399ZRGIVOqyM6M/T4SYs8HOlnUJJBr5pUBdEeTbuqicfDBVGmEUvifQWhOrGM/3CD3p/k4Q2iA9hefZfOJS2nFP0gRf+DnhnkojtNCE5Qqe56GUsm5y0m29zs3OoFDJhHg0wKQR4+EQoVMkCYIEKVIEEX6QkCSaVGkCv0GaGLTKtNhu63pFg/jzrOsv69fncjm8RIrKk5fVY+Z+gFYKIZghwrtq+a+UdWGBzCultNYEQYBOJuzs7BCMjonHHUajEatra6yvrdHtD/j8/mO6usL169cpl8torWk2mwRBwPHxMQAnJycctwfUWquYdEy94nP67BFlqQnKPs2lFg8ePeTZ0QlLqsrq6irD4ZCVlRVWVlaYTGzc1uPHj/noo49ot8/59re/QxCW+JM/+wFaa0qlEh9//DF/8qd/zt7+IWEYYoyhUq5gWi36vQ7DKKFRb/DavXsIaftTTyJW6hV6B08ZdDsIAUFYorm8CkEZrUKkHxBFQ8qepOyBnypOj084efSYSgD1VoOwGuCHms7FiGqlRKNWwfN9jDb4vs+9u7cJfInSmsFgRJoqoiji5OSEo6Mjnj59yubmJltbWxhjGA4HnLXPOXr6gHTcZWdzg+s3blJZ3mJgsjliSFWKX66ipUAr7Sxi0j5HQhCGAZ6MiaKIyXjEoNum32mjtWZjc4PNtRWW6lX8vwLeTX+jZF4pvMBg+qWNZl/q5pppXvEi4p1HmmL2a68s2jKjk5EN5s66M0Vn3n/ZYV8wayPIrxYaLRW+SVGjDqV1D3k6IRycctQ5ZvPN7yF9D4PvUpNOAVnBb+lLN2rR1VO9yBQ2mpm+ZaYbhREOPIpZBwojc8vuVUmAX03M3G/cfYUlAsZy+GihbBjeJZJEU/wa9kxjHIdPxs7voYRBC8hCPcT/n70//ZIsSc/7wJ+Z3d33cI8996rKWrqqFzSWRoMgQBIjSuKZRdQ5c2b4db7M3yYeSaMZnuEQoCQSArE1urt6qTX3jIw9wne/u5nNB7seGZm1dAuCQJBsO+kZEe7X737N7H3e530enK5JI5N/FZiWQqCFcA4iygXAvuGlMJ0QrH0Z1gEg0s11rRs4QbnzpozAs8aRhq1FUGLRYHOsXhH4S7TOuHJnkKaxrxMvA/71xbLiGo3eXH3ubsivHtelWOv6fVkWu7Hzs6600QW5zd0pDFbaBvC59nzYa8DUepZ5dR1sw0xZsxLsK8/P6xn9NW6yPve/YDb0Jfv/9e2LMNCrP19aX66DfQcMyWYhI8xV6cTLJ8iBL8pqgromjkKizEfkOcv5mHtv3mbnxm0+efCMTx88QMuI3f1bJO0WURhSFAWtTossS1G+5OPPPma2nNEf9gl9jygKGF+eI4RhMBxQVprxdMbxySmbW9uESZso6bC5tYuxlrKquDg74+TkmJ/97COqquKt+28xGAz5V3/4R4RBQCtJ+PFf/Ygf/MUPeProEf1+D2mh1+5QrFZsDLpMlGa5lbD7698gs868UhqDxJAvlyzGE0wtSMMtBjffJWp1yIxx2gUujCZQksIWnJ4/ojLHaJMjlcALFVEQEPrKQW4Koijg/OQSdMXb33jHlfR5PnVRUhcVq6zg+OSMR0+ecnZ+yebOLsPRiGW6cizNsuT09ARfCfpJxO29PWc/LFqc5DWlnWHUOg5xT/t1kA+E0yDXNVpkVGXJyemhA9Mk7O3eYHNzmyhKvvZO+0870P8bbp5xdhZGNl6iKISfEPaGaJtT+AntkYffUgwHCbZOMSJEW41SAcqAamr0f4ke5T/K9oW6Z2u+oDb01w3UhHCq61rrqwzs9SA1z3PW/vVKCCgdZSiRElMbynRKEPj0wghtaozO0KUm8DyqvCSvKlqtFia3RJ5CCIlHjQcIXUKDzimUEwNZD/bWUlNCVWDrgirPXMBfFagwxBdQ1iXIEk2K8hR1bUFUCOlz5Q/UDIpr3dr/WJsAlOc7TYNG9R6cU8C/7+YolYaqqjB5ji0KNjY2uHdzn9OzM37+859zMp7jDW7g+/4V/fvi4oKTkxOklAwGA87Pz3l+OOfW3Te4u7NDJ4mopxN2Nrpgag5eHPDhzz9htsp5f3SLo6MjsiwjCAI+/fRTJpMJJycnnJyc0Ol0+Mf/+D9nf/8mP/jhj8myf0Mcx4TrAb3dZnd3l/F0TBiGKE8xX8wRQnDv7j323niP/f19SqnQgK8swhSk8ynoytW7+QFxq4MKYtAxuRZEgURoTScKSGeXpBcX9AIfKSswJUUFKIXv+1RVhdaOenbj5k2krojjhLrKWa1WVJVmOp1yeXnJkydPeP78OcYYbt68SbfbpaoqLseXPD94jtKad999lzfv3EYjmZc1y7SkFjFB8CWdajMJWAMBVaXJq4wim7OYzynSBQD37t1jo98m9j2sLqmKX+zy8Kv2N9euwuhrybvrGf11s+uU7y+9xl+22Wuv17dxLej/Al34y9bzdfvz6jaaQr7mz9fGQvEyyDfXMvlunLm+dZcFFlis0Mz9isO+YTVU3BkNmEUCq9z6GmfuZqJpmj27Brb/ssOv+Poz9XLPTJOlvrbkFc17fTQvA7d1gCaulr6eHv8bbuLLmGpuyy8DqgaCsWsrXGdTJ6/woFfZGC534UT7sLrxsW+SRLZJEDXBsUvYWzd3YW3jJymVopQ+AomQEk8Lolog9dpazyCEwdgKpMYKlx0UjY2XEo5BKmyNFBYlm6y+EDhquMaSI21OKCEvDcrYZt9cHbE0HhYFVmIaxX17FZ7UzTrAinU5yP/2Zq9S1w2I0XjNX01/oKFyN8J0V+f8lR7jWp9/bd28DPa5tvT1z3+5o7Cv7tD6y1+22DUGwfVFrrsRvgIjXlvIfcde7Xfjw+TAlQYwsmgX7NOwjIXkxv4Nbt9/kyfPDzk4fsHZ+IKdvbsMh0OSVkJd11ghSLOc2kDUajtB3ItLdvd2efe9d+mEinQxpdfqkWUZP/vwQ45PTpkuluzfusMP/upHTKZzWt0uh0cvODs95uL8nHS55Pz8nH/4D/+A3mCDn/70Z+7YmqTMKl3SarV4+/5bzGYzlBX4QjK+GOMpn1u3brLxjW/w9rvvks5rsBWi1ghRgq7cHFAqjPSohEBL0YhVOthLCfCFobYl0pYEnqVQNSBI04p0VdJOYtpJjLEeUgn293cZ9rpEUUSWZWjt5iKT6YTTs0uePHvO46dPKWtNkrQJgpDVKiUMQx4/foJSkt29Xd68fYuuHzBbpCyLDBF0mgvpRCWdQKZqnvF1H1NT1iV1NaGwl5iixPNAouh1+2xtbdNuddC/oHT5V4H+31iz+MZghKSyEmsltQyofaikJAh9AqGopxecTU7wVJuiWBAlA8pco6RtOnlQRrg78j/B9sVsrhsMr7dftib89WatxVgHJBhjWK1W5HlOEAT0ej2EEHieRyw1ni2vgACtDZ6nqL2ausyQZoWvJGW1xAOkkQSAkYZ8OqeqKgaDAXEUY4QFDUVduiFGSgLfUSNrrTFao61BUxJI2+QGNMI69dC6yKmlwkqLtjmz9JwwSEjTmrLSxGEfGqrlmuD3H3ugDw60Wd8H/77FIa+3MAhZpRPyxYK21gzabRIKDg4O+PDDDzk8PmG4e4vtN96g2+2S5zmz2Yzz83NevHjB3t4eOzs7rFYr0kpTW0G32yNQAs8TlMsxT58943Q8Y3v/JiPh8+abbyKlZLlc8uTJE3zf59vf/jZPnjzh+PjYKeD2epyenvLgwQM6nS6t3oB2f4BVPt3eBu1OF+Upbt7cxBOaM9+n1WozHA5J05SDgwN274/c81lWCCWYj8+xunIsgFZCq9Ol1BbpR9S1pahz6qJgnsH5k6ccPnyILyr8SBANQmQs8K1gZ2eHLF0ym84Y9rv4nofnSYoiB6NZrVZkmeXp06ecnp5SVRVJktDpdNjb2yPPc6bTKTIIuHXrFpu9mBtbGwhTg7XkWUGeG0Sr9ZWlQMYaPOnQ87IsWRQLZ68nJaPRiE4roh2FKOmAwjLPydP038Md9p9wayJNsU5wwtX1vB7Qvpxnm6+J/b4gifq/dmd4OfX/sjX9dYJ9y0vl8Ovfdt+XX6hvfqWK/0u3dB0UcfMLS+lDudfl2fQCfXeT55eneMkupa6xqskcW9lMPqUTChYuIP96i7AvP7rXY54vruKlndirh2ebt0RDZ325ImldDfza/92tV3xNJPbXQQGa63vFKrQNLV9h1qDJmrJvjaPdi5fXa21kJ79wWC49bY1BGJd0CKOA6XjcMItqBoNuwwxd2665DJ7yPFAeUQX1skRrx4JUCEIdEAiFUsIl7JVlmc1JszlhFDrgQEqsUASBouW3mC/HWKWwCozVWONEBB07cImuV1BpbCmhLl0ov9YGqgW+9NG1xpSaIIqRUYtKWxAarAsYdRNmfDW89RI4efkeV0DRVaK/2e71e/7qtV72GivArtdu1uwGce21XtN1yMi+sq71mpx9pn25oVd3/pUxxVqDEC/hDviiK8YanHwFzhMuFLXWNiye68cMa3FBeW37V0wEnOL8tUWvQAT37FlCT6GMIQkDhOrw8Ucf8+FHn3BwfMHG9k1u37lLkiQopcizgvl8wWy+QBvDYDji6OiI2WLJrlS02208k0NdMJnNnWJ+VfH2W2+xSHPeun+fZZrxyecP+OSzz9nb3eIbmx9wcXrOv/2f/0fevv8Ovd6A1XLFT3/yU7rdHkKG7Gxv4XkhxmrieBeJ5Vvvf4DnKx49eEhV1wgjSBcpP/3wJ9y9/R2weQP0Fjx//JC6qpFewNbOFoPhJkYoBNqFU9Zp2o8vzlhcHvHZzz+k14+oixRpPIYbPTwZ0ElaxGHAdDKhHUVs7W6jy4L5fIrWmizNmEwnHBy84PnBEUhJu9VimaS88eY9llnGfDYn8H3ee+89+r0u3XabQEKZpeRZQVlbRNAAZsI0mfxm/n6lvWVB1EivIvIV5bImz5YMN0Z4QtHvDomDGIVPXddMp7OvdAH6VaD/N9hUY8sim1olLWBRA7Xm9q2bbIw2ST//GRcPf0Zv+zZ1mdOKQvJSX3UL0kiEvSY88p9Y+9JA/zXK11dRsn9Rs9ZSFCVJElOWJefn5zx8+JA8z9nf3wecONp2SzKIBGEYkmYZ48sxvV6XVrvN5cUlq3TF5mhEXs6Jooj5fEYUx9y8cYO6WrGaTalUjchDFsuSqpYEQUCn07kK7qqqoqocAlnVFYt0SjcJaAeCuiqoioLVcsE4m5GKBNnawA9TJuND2u0By3mJr1J2d1rI64/xv28Fx7+FZnHZ+zV1f03f/7vQsiwDoN1p065rfLtgfHrE6eEBSineeustgnafViOel+c5WZZRliWz2Yz9/X1msxlnZ2dErTaD4Sb9wYBsesD06IDJyQGz+YJbd++zffst/vyvPuTHP/4xcRzTarXo9Xp0u10ODw85ODhgc3PTlREEPtV0Tl3XbG9vo6IE6fuoILo6n2Hkat03ei16rYjL8zOM8LhMC5bLpfOrTxJ8acGULOYTrK7BGjqdDmEUM8kKbAjSV3jSI/EUZjLFVhWjXo8kBCMrTARCQVkVzv4vXbK7vUkSx2hjUMIyW8wRVnN8dMTjp6d0Oh3ef/996rrm008/5fz8HKUUFxcXFEXB3tYWg+GAXuJhiyV5mlNqQ5oWCBkThCF8WaDfZCtFwwypqgpTFLSEoNft0u+1aUcBti4RtqYqK1arlOXX+Nb+qv3v0K4pZdsmeryuJr7+cSXOZb/aK3sdjP3y/cbrofQvk9+7DgJ8yV58MbV9tV5xLXP/MhQRX/JF8cXfrr7wMgAW2IaOD5UHwzdvI2UbHkacPp02GXvnt96EDTSJ55cMOvHL5WVfD/K/JDb6ki+JxuP65TfXWdiXGgwukLf2uhzfVTh3/fR9YY+ulr52XtdlcxjHxLp+TzhQfh0MmubcXL8HrBP2shYrXCYOBBLlMvDUCKEb8v3aud5efZuGyWesKxOkLnjy+c+xuubwxVPu3LlBECiEtHT7XZJWjB/5rIqco+NDbrT7DFptHj1+SBAEDDdG5NJnvEqR0qPdatPr9/C0pp6N8YoYIeXLjK/yiG2ffqgwtsBaTVk6SzVdS8YXcywZQVSyTOekGUy9MywetXTsg8grWKWXREHA9HLK9o3b+PE9tIgADUI3tH3/GqXcnSXEy2vo7hGLlGtGgVvKOL7CFbPBSoGTZFgDKdZ5uljh9AHk+tqtuSjuzAsprzQD3LmXjUL+GqxZmw6+/H1d++6C/GuR/7WbWQgHQLk1a2fyJkzTT62v/BcVwFxywt0Dgib7vr47xNqmzzYChjSA27q849pz8Aqo8RUQnLAIafF9d196SnF8esjzkyOU8vj93/8HTFc17XaboihJ04zZdM7Z+TkPHzzkvffex1rB4dEJg+GIfn+DsqpYTS8Yn56wWs5ZpTn37t6h2+3xFz/8kA8//NBpKChBbzBgf/8mTx894M///M/ZGA7Z3nKJjOlshpCCfn8DoXyEFGjr9MoW8ymdXhfP8xDW8Hu/9/tM53OOixXzqqZIM6yuEVQOfBMFVZFSlRVIheepKyDEnSKJFB5SaIb9PpOjR2z02gQB5EahlCQKA3RVslwsEbZNv9djYzBACKhNTZ5npGnGfD7nxfPnCATf/e6v0d8Y8i//8A+ZTGd4nmI2mTrb33aHzdGIbrfj9tXWaO00vyzO3cKJaFokPhL1EkSzzs3CCXBXLFdzPF2ztTli0N3AlwFC+GAFWV64a3b217TXEzr/uo9ds4p1LdBXr+hV12/4u5ONq635haVdawTuFy2TqsL5fFoPv1b4GgIMLSnYGMZstzrMzV16ZYUX9zE2YpHn1DjPUlAU0kfgY22J1f9hZmbXgIVUCqSrrzLrG1ysgzKBFQVKmJf0awG6dnU3SZywSlcoofBrRVEUVxn3IAio8grZZNfAorwSS4UxTrxj/ZlpauCklHieQFQFqqqIhaFenjM9eYLneUxPKqZTh9gdBQW9CFqtFlIKyrJi0H6blu8xszPu7g/Y3R2Spj5VXWFzg9VLTDah5cFSL9EpGB0yOTlBG1wt3uYmt7bf55Onn5Ln7tnqdDpQFBx89nP2d3dItkcsZxcsZ1MefZrx4vSS0nq0+kM2dgKStsbPS1RWUldTqiBka3iHqrRUVUkUtZiYktrUeJ5/pQvg+z6myR74vk9d5whlkEJiNCgV4KmQstRI6WGNoCxLUD5lWdJqJdS1RgqBNu57btK1zvZoqqp2WgVSOcV1cFRBLMZYAhGha4s2GrXujBsK48t69xoha1ePJxuroisNgpcUTqvky9pq686vel3IEYt67RkSjln/SjPyF4v/WSSZDK6G1bU41noQXk8/VGmRecVmK4HFOYvLI54//5RRv8/dN+5wPl5SGI8oiYiDiGyxoqig7bXY3til1R6RGZ/Cb/H2Gx8QxglZUaFXKZfTOb4X8Ju/+ZvgRzx8+BnPHn3Ox0+eMxqN2NvbQwYe4/mMH//sJ1RVxW/8xm9y9+4dVBkwnfyQo9ML8BVxIIg6AXm64rOf/YRe0qbf6ZJdXHCxmuNFPl63S64hCX3iICIqDYkPyi+psjF5fklNgRaCjdEukoDAKnRWEwjpiDhWs1rOeHH4kNnhUzxRkXRietsjdjZusj1sUaYzSj9hb9ijzlcgYFnkPH36mDx1g/eo2+Odd99juDni4aNHXFxcoK1htlqSFB02hkM2RwMC5VFmNboSlMSMlwuOzme0BhGDIGS+TPHxkVZhjROxUmiUFHjUCLPC6gVJYBklbVqtmMiT1FWJqSvqqiBbLTk9OefwxQu+/Y9/yU7xV+1/c7MNNfGqPpXXwudGaNWI9bL2S3DPtYf3dYDg1QDz5U/BFTtqnTleq2C9st71+2tGFS+Xu76n17PPV8u8um/r91/qmq/X/2UY7jo4EdfTdy9V2nlJpXbBflMHbWEjSugN2ni14fj4Z0jPa5arsVa5DPpVlG6bvp5r4cTXT4iuZxWb3b92hE3m8tpaXlqkrZdzmXKnYu8ACpftXPfAL0Gcl6rjzf7Z69v6EjDnlTQxV8dpuRbkC3f+xbVsvjX6WvmCbVgGCoREuII8JDhJZqWcbbet0VWFNhW6qgnDkCh0OiTGwHSZ4SuFrDXtUPLJxx8jRU0+O+bo4pQ4iThTIJQiSWKMrijyFLG3z1b/NnlsuHFzRKvdQRvDYl4ymUyIfShXK4IgQuk5SldUpWa5TDHWUBvDfBzy3d/8Lj//5BMMhtD3XHa+EhwcPGF7e5MoDhhfjFmtDKvJJywWGUVZEUYhe1st9jbb6GVK4mkOH/2cjZuKZHgD5QUUtW4E+4qG2i+xqCYLrpA05QpSIKVFyaaMUbsSPClEQ0N5WUxisM5a0LoR12CosRgkQqgmqAdhXnogrvUdRPP7+p6Q1zKnV/2GsBjxMtC3ayig0VHArkN30dgRrsd/jdMwWIt1NkE6L5d/eRs2v4iX63XMjeY+a7Z3/WlYA1Qae7XedeB/pS1w/f6Gl3MUYVHK4vmK+XzOo8dPiPt9fu3tD3h8cMzm3m2SOEJrSVlWCCFJooTN0Rb9Xp+Li0uCuMP2cMRgtI3WhkBJppfnCOD9998nK0seP3vO5XTCn/7whwRxwnsffIAQlk8//YTPP/4YpRR//3d/n3a7g+f7/Mmf/Dum05kTyLWu3NELBI8fPaKuK9669yaPnzxmczTCD0LiuMUwiSmLkm6YsNFKsFqh6xrqmrrKqeoKKSzdbgdjjesfpXQaGlZiMcxnMz7+6U8o0jFeaKl1wc72CLWzyf7NW9RFwWI+Y2tnmyiJqOuSoiy5HI958eIQpSTbOzvs7e3Rand4cXRMVTnG7mI2YzgYMhr02RwN6XY6eFIxXyxQpsbkJU/OT/D27uIHHtIGSGuRwr/qsY19eW0deFQT+ZJ2q89Gt0sr6iCNpNaQZyXz+ZKT4zPOz8/5qvYLAv0v8+x+tblhxv8Fy7iH6Prg6NTH//2LGX2pbdprTVjwfsFiBsvCr8GCMhavNgTGEtiCdmKRBqwHOo7IwhF1BXErYVHkSNWmsgYjPIzwsEgiWzoRlv8QmxV4NkDXbjDTFixeg169VJUNYg9rM4qiBG1RygMBeV4gfI9S1yRhjMgMidfCWounPDzhY4xTubfagQPKq1B+wcXFBYupcXVGWFqtFq1WC2ElutT4+YKHjx/z/PlzptMpga6IgxibnqOXY6SUhLHEVDnCaPb29mm1Wrz11h5xFFMXl+zvDxAip1YVmIrtzbYbIOsFvh8w6ASEkaQoFmSzQ5QU1HXNRF9i3xwxOf4Uay1JkhB1DLpeUc4OEcOQQHZZzC/IshXtdkAvrCmKFX0hGNCiHYQokeP7lrRYoidHVMJD2IRIxIg6RfV8NzxVJXW5Bjpil82pK6DClBOSlsVaSV7UKC+hqCW6VoRBC08FBJ6itAZlDb4Q1HVFEEXuWYaXg7IEpEEIZ19S6wptNFJIlKfcTwmB9TDCoIVACYVEUtcVWIu8Uo+tQKwaRFOBVUicr++VxRMC/BCta4rKoKREeT7iNRVCYWvk61ZqVnwBtDMNevp1TQtJKfyXgyfWWaA0tj8NdEVX+M5nOU+5PH5GevmYzWHMzZu7TJc1R2djtm/cxfMV7STGKy1ENS3VAR0Qx30mVcW0kvQ8H89zqK+RHt3BiDf2RtRFyuHxIc8efs5qdomRcOveHYQQ/NkP/pJ+v4/wPd64d5e7b71BEARcns05P5thZYDxBc/Pj8hfpHznvXd5484WXlUyPnrK5WPDRZoyuLkNnYRKeNSVzzfGU37rG13OD445Th+TFudYsyTNl9S1Zbi5i7WKEI9iVRGHMR4BQlckcchg2KIbbLHRjen1+mSVYXG5YHn8hMgr3aDpQRCEVFXF6dEFVVkx2Biy0d/g1vAG2hoW0xmT8SUnJyfM0yVZVXDj3h22drahKNFVhUUxmeU8fXHEgyfPySvN+98aEQiJqEokbQSem/wZixTaZdyqJUqviMKaURSxETmk32jHvimKgsVi4RwJziccnFz8dXrHX7W/ZrPXahCvT2qFFNBM6kzz3lXm9guPtVj/Yz0h/5ItffGnXQf319e7jhivfXY96oSXf4v1Or6mn3k9Y8zLTB7NO00q8mWQvI5rX6asEU3m/hWFervOYEs8KxEaokrQ8TrIIEZ4nssmmhrbZEkdONBYs1n5moXZL5ibXAvurwMU7puGlxl4+1qgIhpl9UZvvjnIddHCK1ngq++La2t/dVsvg/2mprsRyXVJJsk6s34dc3kZ7F8HZ15+xwnUSurCYLTLmAphCDxFqBS+EoxnU9Jsjq4K8nThxGOxbAz6yE6LNYDUiXx+8pMP0UXOxdkBulwSxj7p4pL55BSPHkKAJxWBJ9jsD7jx9n1u3biBMYbBRsrW1h7T6ZRa11hr6fX6WOvA+LrKcVo+HnWRs1pNACiqktlUU1fvMp9cYLGoftdlsGvNfHpCK1YMursUqwJpQnqtmHy5wtQF+fmMnTe/B6XFF1BXOdlixeTkEBkoot4A01DmpSjxhNOsssLDeUv5DXgksNpgq5raNiG7chbE0kqUdfMHISQYcXX91gr/jrXTlJpINwcQzQ2/BpPWzgUOAHMZeGEcDV7QBNnSiboZqTHXooJ1Oa2wFm0sGOdwtHYoUNI2gI5u5jAvn2E3N3BbXye33P3llnAzB4NpgD3DmlVjrxIoct2lNGwm9wyv3RXWYIQDJK7f8LaBQaSwKGGpyoIyXTI5OqTd7rB/6w7GSpaLjNYyp9tTdDs9qsoQeCGe9NC1YdAfIITPRw9e0N+K8PyIdhKxmB4x6HbotDvUdcl4OuXk9IzJdEqWZbz7wQcsF3N++KMfEvsh+SrjO9/6Nq1WBxCkacZnnz+gLCuMrTDA6fk5b7x5n83NTdpJi+V8xsnhKR9//ClJ0mKwOUInCRNrmZ1fsrq4JM9SNAZJxXRyQW1qQNLudtC6cuUo+Fi8BkwE31PcvnWDyN8GWWOFwVOC5XzBJ+cXrJZLfvd3fptW4vQKstWS2WTCxeUlQRRy5/Zt2k0ZYF4WTKdTTo6OEALiKOSb779HK3HxSpFl5MYwm045fPaMJ599yqmwvLN3g4HvkVQB0tKwchtLTutKCJs6biQ1g16HXuwhtCVLczACrQ3z2YLZdMV0OuHFiwO+qn1toF+Jr/blW7c1HexXDWrhLpYVHgjVPOiWSmgqIalRaOEUHR26aJqMoLlG7TL8h07cFwKUAl1qMBbfUwjpasDcqxlYqwIpawJp0LrGFAUWSyAESpe0Qw9fGdL0jIMXB8RxzM72Dp7n0R/0mUwuWS4WzOcLnh9+hBcY5vM5nU6HTqfD+HJMu+PqjMMgIM8yHv7wB1dq2VubG0Rh6OqhswxMRZy00WVKLUo8JfGkZKPfp8gyJJDEEUWeUeQ5nueRRCGEAXmeu9rdsnBZE6NJFwuiKMT3PIqiYLVaMZlM2N/fxzSCbYvFgrquuXPnDnEcXzEXkiQhjmM8z+Pw8NB5rOcJq+OUwSBB2IDJ5IyJLcnSmiTuU+Q1yguJvW2SJHHCcIDne+g8JwhDlC2p0ppidoiaO6u+urIESQ+pBZHfIp9W1CiXDQgDun6AmI0JqoqgjlitVgjZ6Bn4AVpKCAL8yKcoCsqyvGJoCOPKLDzlYfMVnr0a5bDa4jXrqbUDyaSqQKZI4VHVBil9BB7WSGgCfxBoEWOUaHSaXGdozavApMBSvy5e1Xxy/R0j5Jdky77YfFtefUe89rpaq9W044hsuiRbLUjiiPtv3WSVFjx89JhK+/QGG6xdKATgKcVstmA+nxONhuRFhu95SAxR4FFXBaHvs7m7izYFL45P+PSzhxydnmGEs6B76623+Oijj3jy5Anf+c532N/f5+bNmwwGA87Ozjg/P+PJkycYbagrS7pKefP+Pf7L/+K/4N7+Hvl4wsHDxxy+OOP/9f/7I46Pj7nRe4c7b7zDYl5y69Ztzs9P+W/++T/nePY57a7kzdu3m1IFj5OTE4bBBrLXRsqGZdGcl7qukErR7nXxPcF8sUCj2Bxts9EZEnvODjAIAjdonpyQpilbW1vcuHGDJIqpFhWL5ZK8rphMphRFQafd5vbt2+zs7CCUZLFYECmP8WTOg4dPGC+csM/+cMRwOGzuS4U1CiskVsirvtYYja1KQgWDTpuOrxGmpK5riqK4svZ78eIFx8fHtNttPvjgg1980/yq/c21axNbR47FDTbGRb7rwM/Yr64kf0UUTTibqr8eqfBlNvDq50ue6LV2vbb8K/bqC2+/DBjWQbzbylqA7GUx2+vEAjeveLkOFwCss4TubXmlYO+CJyE9hPIamrABtPu8UTYHwFjEV/WTXxJnrxPma1D4+uGvj+lVzGMtQOUysWKdqnzlHH1Rk+CXbS6DbqirAk8pPOVfBU9GmCap0oRlwuWOTV0hGraXNTXGONba6ckZeVawt7tHK2k70UNbkqclz4+PyLMVi8WEIs8QWFpJjJKwWi5J5z1arRhrNXVd8/z5c8oiJ1CSbium39ljuZxyeXGK0TVWa3zfoxPHhFLRTiKUEKxWK6y1DIdDsizFWkMYRSAlVVXS7XRZLBYIIQh8D89ThJGP50uMsZiiBiznp2fsbm9jAeUplosZfqC4/9Y9jBZYrYn8CF1LFJpAQWUN/U6bdLnAb9atTe1Eyi5P8GLBKp2S5Rrl+3Q6bYLARyoH1ksZ4HsxIBxYX+TouqSqMmpdMdzooZuxXCmPwA8a5qFFVzXWgFI+yvMxQpKVJUYKqDynYSCkewG+UlRFSSgV1miEXoNeEk96WO0AQpfwNRhlQGhnXciao+MeOGMALRF4GCNAKgcsWMcscMmCJnsMWGlx/A4Hurj5gWMxrPuw2mpq66AFu9YUsdoF+s223bNoGlzSIoy8CvhFs83rz8n1XsiVNwrydEk2GVPmBW+/c59K+nz+9AVYwUZ/g7Ko6HYVWVqwXC5IU1eCWFea8XjCYLBB0u6B8Fktl3gSdjaHBEHEwfkFz5495/jkmLquuHP3Dt1ul6PjY374Vz/kd7//ffb39wmC8Ippe3JywoMHj2i3O0xnc4wQ3Lx1i//7P/u/EYYR3XaHn/zoxzx++Jg//KP/mcvplNHOLsPNbRIUW8NNxpfn/Pmf/jvOL0+4d2effDHFZDlWeixWC/w8Je70sNY0faZwCUILk/MzPFWwu7+JFZK6Ktjd3KLb7iCwDeu1QljNeDJhuVzQ3xhw/+376FqzWiyRwHQ6YzKZsFgs6Q/63L19m43BgHS5ZL5YUteaPE15+OABtiwZDYYMd7bwo8gxDgxI45xOHEvDur7WikYU3NkBSunsMOuiZjVfYWpDrS3z2YLx5RyAd9555yv7v68P9OUvDvQ9Y5B/TRX0/9haLXwsymXlhURIl8mvhaESkkqAEQplnR2GtLap6zeIRoBNNg+t+F89lP3dadYa6irH9xRSyYZ257y2tanRtXaBvc7xPEBrJhcXnJ6ckLRarlOInN/rYjJlcv6AH/zZv+G9997jnTc3MLagLjIOn3/KcrkkS1Mm5wdIaTk4OCCKQvr9AXEcsxif8vzhpwAEnqIfexitSVothDAU+ZJ+v40QNavYoxX7fOONt7l3axtd11xeXlKXObNJQZlF+J6HqQqMrih1hdWVE7gxFVIIktAnLwymKkjiAF23XT3vckme57x48YJbt25hjGG5XLJYLBgOh2xsbDAej0nTlF6vRxzHLJdLlFKEYYi1lvms5vhsyq1bbTodn8MXZ1RlhX/fQ5uMjz76iP39G9xsl0zGDgo2DYV1NNrEMyFCazxrCViQVEsmkynzyZzai1itcuK4jRQ+9996h07X8uz4KVIplFIMOh3qlSaoK7I0o6xKSqnIhUInXVqthCzLkFLhhwF5UbBaLqkqV2ax2W058UGtUZ5CSUWta+IoIs0yrLHEicQPK5QXkK9ypBcShC2wHqypklYwXXTxggjP96mriqKqiKL4lYmvEfLKR3XdrurjXn33F97T0pprgT7XskivPqmhEvjWMEsXbI422OpvsFxOePD4gCfPD7lx9wOsCqjrGmMcIyJNMybjiROHLAqyPGc0GhH5Hp4wJKFHN+pz/uSIsxdPODk+ZJmWbO7u08djYawDtsZjvv/97zMcDmm1WkRRxPn5OWdnZxhteP78OQC9Xo9KaS4uLvjRj35EtVxw/+ZNfu/3/z5Vofm173+P/+8f/wlPzsaEQYsb777DzZu3+cEf/wXjyRm1qYiiPlprnjx5wnKZk1Y+3/29Nvd/7R6+8JmmGaEs6LYCVtaymM+pbUZ7a4OdnV1qochrS12lVLZiPp9jjOH8/JzZbMabb77J1tbWFSCymC9I84yjs1N+9KMfMR6P+d7v/g73798nTVOquma1mHM8mXN0cgbC47vf/XW6GyPSoiIra1ZpShDE6MJllQyqmXQ5OyxfSpLQox0H+LagKiryPGexcCDMYrFAa839+/cZDodfsFf8Vftbak1sffXcueTzFd3RLXKV57rW5Gu//3Ui/FdBwi+u4/o0+5cYw68fxJd85yrLzfqYxMvF7Re3cF18bx26rjOnTuP3GqvASowWKOFTWwFGO/syYVhT/a8Do85I9tX+7tUc5sttG8EvBE+vQS7Nzr4WtFw7ite/c7Vvv6AvN9b9JwBTV1TZEj/0iYMYrTWVsVitXXmYtgjtPMiX2YzxxRntdodbt24SxD55VqOUQOQ5n374Y7LJCb/zO3+PPBtT5EuOjw+wuubi/IzJZEqW5Sznc3yhiJMWwlqOBU0JnUZIaLfb9LpdqixDWoWkpt9J6Ldv8tmnn9Dvddjob/CtDz7g/PSEJAqx1rBaLYmiCN/3KKuCuq7IihypPJSS5EVK0oq4HI8RCvI8ozaWOAqRQnB+forvhzx78pRbt2/hBwFFVVCVFdv7+wgsVjvNpNs3bmOMZDmv2NkcMPM8jDZcjM84PTtmY2PA1vY2ZZUzmU0JWz5BseKzjz8linx+/de+wypd0ElipuNL4rDNxt5tjIaqLomsJggkWb1iPLnAVjGff/IRQRgSRzGjjRFbW9ssF0tCz1nAJnGbKGlRGwjzAqtcwK+tpdaGpNV2CZMo4tHnD7l3+xarxZx0viIJY5Tv0+ttsFwsKKuKIAkwosaIGivdM6Ckwm+SFEpIdA1ogTECoUJQkWPISUkF1AiMlSgCpPIREiQRRrjyUonEs86GsVLOKd2Yhl7eAAVuftJYGltnrymExRPK3fPGza9f8luusQSuPftr9olnBR5O23vY77F7e8R4MuHhwXP+3Z//Fb/7D/4zup0epTEsFwsmkzllWVPkBZPJjP0914tqbfH9CCkUw+EGQVIyPpzz4uA5P/jpx2QahFTcu/cGq7zg177zbWazGffv3+f9b3yDdLZgZ2cX3wuZzy6xRmAsVLXBDyIXiNeWP/mTP+Xdd96hGo74zq99hw8+eJ//8//l/8R//z/8fzgfT1mVhu9893vc3LvJD//qr/js458QRR5V2kYYzeNnT1BBwtkf/1t++x8lbAy3sVqjhUFIhTEWUdcEStFpxfTbLaySdDstfOWhq4pOp8Xl5QXC1swmE2pdcuPGHqPRBlnmbH7LsqKqNY8ePeGzzz5nPL5kNBpy+/ZNN1+YzcgzxzA+OT6hrmru3brJ23fucVBmHK1jIa2RZs1Wtbi7wrl9BQJ8afCUIQgCtDGsipRVnrEYz1nOlwgkcZhw+/ZdguCr4/WvDfSN+MXUerd//2HWkv/NNoHBwwiXeZRCoa1FC40Wonm5SymtbtC6uvmpHVUOhaXmdQryf2jNWoPRBaEfoquci/EF0/ElRZaiq5K6KtBVhQoMZZUzm89JVylaa5d9NynLs4h+v89kfM7p0cfcudkhCTM++fmfXFGWnjx+zPbODvffuMH77+wxm82pVlNmsxnptObyKMP3fcIocmrZWFrtiHanjS4WBGFAr9cBoWlFgjgARUG3HSJ0Seh7vPv2mygpOb+4IF8tCAJXs26MJQgDilS/LCnwPbZ2dxFCcH52xniy4uDZU6QXsLu7y+7uLq1Wy2W4Pe8qW79YLJBSUhQF7XbbPfxSXgX4GxsbpGlK3BpxYiznpymB12VjsElZpRibowJJbcdM5jWdF5bZdMbW1ibdbpfpZEpmlhTSDSDtdosOOV2Rg1mCmRPLmnv7PUBQljnfvBVRlium5ow8zRn0+7y5M+DiYkp3s8tqVaE1hGHEwXjBw4tnFHlMXZSMRkNu7dwmyyQvyjHj5ZiqqohbXZbLBflqRavdJmq1WC4XKDrYxRxrXH2LrUpkGFNPZ6ggofZiqto02fwmox/cZLIqydKUOI7p9noEfv+V+1ALj1KEr7wnvkS4T+J9sVz2taZsTWQyrsyumprDl7WHDVJfZShT0WtFjNpbrGbP+PlHH/Po2TFadNi9fQ8vTPADy+XlJZPjC2QNcRzTEbIJauf0d3cJFWwNOoh8xmR6RrpaskpTvvHBt7mcr6jwuXH3Hp8+ecy7777LgwcPmM1mrFYrtre38X2f5XLJ9vY2D4+eEoYhb93cZVLMubd1j3Y3wVjLX/7lX/LjP/0z7u3vsbu7Ra0iPM/DaImSMd/+1m8wvpzyb//4f+by4oSVvuTuG7vO/kY5VfrVakW6WlFVNSIUKOXOs2O5lERxzF6/TyvyOL84Z7bMUFGLZNdR4Oq6xvM8Op0O77zzjiu3aTJXk8mUuii5uLjgL//iL/jhj37I3o0bfPD+BwS+z2w6Yzqfsrq8JEAxGo3Y3b1Bdzgirw2TyZiitvQHQ2qt0cJHCB8jVHPtaqSAVhLQCWp8W1MXjrWzXC4Zj8dMp1MGgwFbW1tsbW1RliUHB19NlftV+9+hrWmpV0FkY4/V/O5C4SZX9oUocP0lJwRGwzgRV+JX19urf7/aXXwxIH9ZI/8KzPjqeuw6h/f6pl5nAVxb/7WU91p88PXNf6mLRLMeK9aaAY76bDEIWxAr6/RqkOgKlAgwV+r6ugnm13MQ8QVQYZ1sv842cPty/TCuAQJfEvC/vDwvPxSvHjJfCqR8GcAhvvDLK+tYnw/fU7S7LfLFJU9efM58saDQLktf1QahNUJbFss584UT4LVYFtMjNrdGCCEoi5LTw8cMOoqAgrMXDzg6fEqr5XF6dMD+7j7fePsGYfAmT54950c//BHUlunFmCSOm2DNUcOlhLgfki1OCYPAWWtZ7bK2QtNrx5i6uhLmu3Fzj8DzCDzFeHxJUaQURYpcs5mSBItutA4kxtTcu3cHKSXzxYJnBy+Yz6fMZ3Pu3r7N1tY2o80tpO9Ra01Q+hw+f87Dzz5Hea7Wva4qQKBUQKfXpipr6nGOFwZEkY83k5xcHjPYHKBtjUXjCY0sU9pejSgLJoePWc6m+NsjwrpGmoL5UYEnHSgR+JKWCFEmZ748Y3aRcm8Qsbe3TZ7nlMUlv/bOdzg7OOTJ06dIIRCmTa+7T1nW7IzadEfbHL04QCrJ2fkls9NTlPIIhyPe2e3wzbf2mU/bHD4/4ODZU0oEbbNFPp1RVhUmDtDClQ8YahBrtqGPUh5SKGztSgSUDFB+REWA9SKs51MZQ2GtA48JCKKEbreP5/tAo0OAQZoahKJWUAGeDSith27KB4QQqCb7L41BNKw/hRMQNA0zxazJ/has1Wht3TNrFS8dicA3ruy42+mibIej02ccnZzx7PiCe2+/x407d5nOF2gEnudq+K11bIFet4fn+Vxejhlt3XBaEhLSbMnF6QHnx8+5vFjxO3//9xgvUgyCTq/D2cUFg16P/b09dFlxfHTM7b0blEXJcpnR7nQ4ODnBSsn27j5ZXmAF9Ac9lqsFf/7nf8pwsMFwY0iUBFgLq3yFRuN5CW/fe49+u8eHP/wBUpQIXeDLmsxWDjyxENQayhJpLJXWGKnBSrS1lMsl/U6brVGErit0bXly7p7B3Z1tZrMJrTiiLGp2djfZ2tokigLquqLKSzyhWNWGFweHfP75Q/7qr35Eu93lD/7gDzDGMJtMXAyySqmLnI1+n7t33iAIFFo4gFna5vpa0zCcLQiX8HXX2iKURSqDVBV5UbLKSxbTBek8ZTGdE3gRt2/fYdDfBAQXF19dSvi1gb5cd5NNr6qURCmPLM8Ig9D1q8Vf37v6iwrrfzfbFwcgZ2mytl8DmpoaJ4jmCYnv+ciyJvCUE1QwBg+JsBpJjSckpszRxsNTEUI7d1KhJNo4D9QvHSCvbQ/4O5lVstagdU5RVMzGFzx5+BnTi1NslRMoZ05TFjnCg8VqyXK5JPADtra3uLvT4+LoCfR7PD1+DNS0/JJIQShTluNzdFOnlS9PaIdDdkcxSdxjenZEnc3R+YJ8UTnbGRWhNNjaoaaRH7K90aXdaeMpJ+yXNLU4G50YpRSjfod+O2JjY4N+f0CarkhCH2vdM/DyGqzvYXul/B75irIs6XdamKqg3+tipY+1ljiOGQwGjTCgh9aaTqeDUorFYkEQBHieR7fbpSgKfN9HSkkcx+zu7hLFN7m4UCA0norY2tzFkGJsRl1n3HvjBmCIZUkpCorpGUHLJ1EV9fLSeaYnLYwsefbsU759dxuznJFQ0/YMdjVmc2vE8fycj3/4b4iimMgqjMk5fX7MRguePHpEr9dzdmu7O9y//zZePWd+9hw1GJDlGXQkh4/nzKZTFoslUgrqVcqzzx/R7bbJ53NsEeHVPbL5HFV3GPV6nJycUwtJK/Ap5hOy6QQTJpigRbczYHw5pdaWra0dVqtTjh4+5eLigq2tLfybN9ls3XJ1UUVBkiTkGqyIGoV+QRSFmLqpf2vAlrIoKGpBp9vHWnvlRW+MQ1GVctczEBo9PyVJWhTaErU61CjSsqSoLNLzkZ6HR81yek4vVhTZktOTE8bTKXfuvcnmzW8w3LvNKq8wZUpZFGhdc356yWKRU1iBVxZM8pS9N94gDiSRMEymFxw9+JR+JPjGN97HSo9xphkMtulubPH93R36/T7GGJ49e8bW1hZh6GhyrVYLgMePne1eu9MmHrW5XE1dcF4W+LpmNZ/zrz/5hJu3hnitEecrgRQt2q0Rnoo5OnzObDYGSvqDLq1Wi7PDF1RVjbUlq3LKfLGgritqVaOUhy996jpltVxxcnyMXXqM+m3iuMXGxhAjfeazCbnM6fV69Ho9dnZ26PV6LBYLsiwjb4LtalHw4MEDnj1/jhSS7Z1thqMhCMFkMma+WtIKQ7YHIwYbI5QXoq1T0J/P56ggpqxKPBQyjNHSp7YSjWjEkDS+BF9oTLGiWi2YTqbM544Wd+PGDTY3N11JjDFMp+78/ar9LTbZCHziSmUNXAvSRfNvXZe7HrPXdd5ugmVx9Y9i7W/1pVl3s8YC+EJt/lW7nmW+nok2V+86D/brSZB1Jv314J4vLvO6cN/1La9FjF9bhcVpiVwF+FcoiFvQ1a+uUJ4gVE7BXJcGZSRGrGnzGtPUP9v10V0b76wBI8QVrmGty9475sBLgWXx+o599Z9XTb6in/IqG0Ncu8xfmIx9hajhlWWZlAgsnrSQprx48DMePviEqi4RylHb67pGSkVttNP8qTQmK7l1e4/DRz/ArHbwm/IGX6wI24LEzzh5+jOUrCkWmnJ1QTpVfPO9e3heyNkp+LKkpkapEl0XjgGIIYlDOu023UTT7XTp9bt4nmqE6cCamp3NProqEZR4SpMkMe2kha8Ucew3OlcOxKmqDceisNaJEGtXAuF7Lusb+R7Dbpezo2N6nQ4Yy6DXI4liVOBjrGFpLXEcoYSk1pWrT2/uM601q2JOGMW8+f5dlHLzocOzA968fQ8VSLp9J/AYBQESy87WDkoIbA2RH3N2esnN/T0WsynCCpQU+J4kjvocHjzl/ltvMTvz0akhElAu5vhKsFxN+cEf/49EUUxZzInCkLOTS4StmM7nVLUmiBKk9Hnjzfuk0wmz8SXdTo9H5+fcunmbj3/2M06Ojyizoik3s5QvnHK7tobSBKAEq3RJmEQMhgPKqmIxX/Duu+9weX7J0dkxURASRy36sc/h8wf4UYv+xgZ5VjCezcnKiu5wRBW1SNQuRp1jKo2p3Xxe+d7VXNEKibRDAttHS1xGH+cAEUaBY4/WGmEN1tYIqRHaWTzv7Y24nExAVGir0UJjdQ9henhCOmFI64AF35QoUaOkQEvL0cUpO7duc/uNt+lvDskrzWK5oi6dDs352SXLVUrgR7w4OKTKS/ZHQzylkKZmuZpycPyUslxx/1vvk5cBRqf0BxuMNkfs7OwR+hHpfMnxyQm39vbpDwZgBYNeG6Ti4eNnVLUhjFoknR6L5ZKTk1N293ZYLOdM52N+8tGP6XY6+H6AUB6lrtjavkco20xPJ0zOj7F2iReGeNLpEFgcQ2d2fsFqPMEzUNTGsTSkwVjD+OKSJ48ekS9aDLb6xJ02o+GAIs+YTp2LRJIE3NjfpZWErn/RhnyZgREURUld1pwcnfKzn/6c1TLj3XfeZWtri7quOT89p6wq8jTlrTffIooSOu0e88WcQmvm8xRta1r90rG/PQ8rG9eOJo60wrjxQ1QgcspSky6dbZ8tDcPBBrdu3aHT7mFRXF6MOT05+Yqe9RcF+nXq6gQ8D08phLCU5YoQTdhkn2pTwS+R+f+y9kUk/e9os18cS5yi+6tAReIJQsAUObYoELWmsgWekkTSooxG6YpANsqKwmCERpgKtKPjuLhRgidegcjXAczaWu7vkqXY6833PBI/4OToBQdPHnFx8oxYGVqJJPEEvhQUnqHd75NmAUIO6fd6hFHErVvbHKqKwWCD6WyKQFNVGVobF6ilcxarBcPREH97RD65oJyNGbXahJR0A4EIJbm1GFNgsxIlE7Z3dhj0+6wWY8pshokkFp8iS8E4BXxTp84mpy5oBR1agY+yNa3AoxP1r9wBpHKTx1W6emXWYpo6KqkkSbtFnaVsDjfAj6nrmiAIaLfbr1y3Xq9HkiQMBgOMMVcAUpZlRFF09Xe320WbDTafzRHCsLnZQ6oaPzAYchAliB2wmnClubXnmAVhGFKVGZ6nWC1ylrpC1yXLRcp0lmOMjzGGonDCJWmekZcZ6fmCXr/H4dmcwcaQh48/Z76ckWUZZxchUgqOTo5I2gmTRcbpyVOSWFCkGQdPM+I4pqoq0iyl3W7jqxrPCgJPUZcF6WpBtlq6Gr08ZTjo04pCinzOfLJACIXVFYvphDIssbXl4NlzhFB0kjaBkIxasNneotfrUueXrC6g1UqYHB9zXteUBkToAl0hBZnfBPBhSBLHeGFIuVyStEasjp1FW6vVou31yPOc4yfHdLtdBxpkSxJyqmqB9EKssjw/OGZj5yadthOXM3VNuZrTS3xsVfDhj/6K5fyQX/vur5ObEOIOWWURfoSoUkcZly4AKYoCEcbcuXOHHU852qInmF6ccHl6RBIF3L65y2I+5fnxC269+Q16OzdRQUg7kaRp6qwaq4qtrS12dnYwxpDnOR9++CEfffRzhBAcvjik9DSjm1u02jGxFLSU4ne/+13+8F/8D2ztJHz/H/0f+V/+4iE/ezSmyC1SREzGM2pd4oeQJBHGONaJA6MUi1Vx1UkqpZAW6loTYImTmFu3bnFr1CLyBbPZnNVqiVEBJp/SiQyj0ehKl2K1WpGm6RVt/vzinAcffsYqTQGL73sMN1x5wtHREbP5nNHWJjdHmwxaHaQXMJkuWCxX4IWMxxNOzh/yO3/vd4mTmJQQIzw0Co2bzCoJCk1drKiWFyznM7K8Ioocs2g0GhFFEUVRXFkiXl5e/i31qL9qAJ6JgZcsb4FF2+ve7hbn390IVzU2bMI47/AGIsAFr3xFAO/eezWx/HrQ/TKdbdcCSuuAWlwZmPFSfO96Zv+rgvzXl2v+FtffdnWaa3X6617dr6ynqfUVzR4iNC77l6Ftge+FBEpisejKIK0rwURpXH2+d2WwZ9Yigqzrh6/taeNbbwTO+qxRnxfimrnYGrdofl+LMl+fOQmc6Nj6dXU2xMtLdAWjrC9+s4aXHvXrk+SWNA0IgXAuMLpMeXrwkOXhZ8yOHhCSsjlsY6Vloz/g7PSYzZ0RlalRwscTPkoJ3n3vDZ60a9pxC6Etla5JohABxL5iOk5ZzCZEUcjOoMP49Jj5xRmtdgeTr7DliiJNMaZ2c2VT02mFbPU79HoxmBWRF6HIXO219Zr5Zo2vNNJa4kjR78b0+32SOMb3fLIspCgKoihESYW2muVqecVeEDRMFet0ovrdFros2B5tNLo3kigI8D1FGAQNdbpyHuJxhK5rhLDkeYH0FGmWknQ7DLc2sRamszk3b93i4ePP6A97jEYjzk/PGA1H2NqANtiNkRMMm85ob+8jJbTbCYWW1MJgrOb87Iy8LDk+OkFKnzQtaHX6eJ6kqgy1NhgkF+MJm9s+RV3jRQkfP3jAeLECIUhabdKyIvATzk4vKKua8eUMIULq2jKepeTZBVmWunvFCwBLYQxCCObLJZ4JscJSG02Zl2wlHbLFnFRbjk4vWS6WLMsK4QXURUZQZpycH5EkLcJQ4CsPpVdQ54QyIVIKqgm+EJydn1OkBUIJhO/jK0FgHX/Xo4ukjZRXEr+UdUXU7SPjhKqqQErCKODs/JAwkMRxwOnjAywa5Wm8QBJ4AqstQod4wiNAOschUyBMxnx+xPHzHzGbvuA3v/9dDs/nLNIx+sKCCJHSZ9XMIdZtla64e+cN+t2Bo5GjUXXFLL0gbEfcvLfHcqE5OTkl9BI2Bi4xZnFz4VacEHo+ceS0prCSrCj59PMHfP7gEe3eBvM0I2m16XS67OxuEUUB7753nzffeoP/9r/77xgONviv/uk/5cnTJ/zLP/wjxw70Ig6efobQNcYWBEGEwFJXNRKBMZY8TaFyZapCa6zQbm5vHGD2G7/xG8ShBt9yMR0jRIBSkrousb5CYglDH11Xzv3MWEypKYuag4MXPHz0hPPLCa2kQ9YqGA7d/CDPMyaTCTu7u+zv7TEajQBJWZWkWUFRVTx99JTZ0vDbv7OHTRSlNBi11kVp+jahsZRABUIznlywuEwJVcj+/j4bvQ2iMMFiKcvSlQss5l8yrrj2tYF+mwysQFQCameRRpET+T7KOnEiYX1Q8det5j/KVtc1a9u2ddBdzs6I/IA613hGsd3rU68WDOOIQSCol3PIZ5i6xFrpxDuMB15F5PsYJHlV43shRn6xSj8MX9KQ/y6DJLWumK0uKYolrUTxxu1dWp7B5gtiqfGoKDxBFAs8Df1el52dbUeTffGEYjZlWWdUWYbFgCic7/wqpVqmZPMF50WB7wegFOlsTtlb0A4ku8MuiWcpy5AkSXATH0Hkgagz2omH7xkX3BuNANLFisnUZe963S5F1qYqErKVT5mvHDPA85DCXWuX1Yd8teT65Ewp1WToY5SSpMs5nlKYNUDQvNYA0br+eP2y1pLnOUopkiS5qlFe17j7ocfOrhMhLMoVebHE8yxCaaB2k0yrEbMVoe87NVfjBAo/+OADgshlI1tJi83egDAI6O0E5EWGUoZK52RVhok6lFXGCg8TdxHtAfFoD9XpkbRd1ntjMKCqa04WOZNVRtJuOUsh36M0NaIqryaB0lMEMsLmABHtziZhFBL4gdNYyDPS1GCJsJTUpqQqa4wJXYCeW+q6oKo9lPK5uFiwvdcmMEustXSDBALoRZrtUcz0JOPo4ghrHZAiVXPuS0WariiVIux00GFINZ8T1hkXL06cKNBgwEIIbty4QXX+mNDfZ9Aa8tHDD9nfGtDq9JjPx/hKUGcLIk+AqclWK9q9Af12zMWTB5wffYzC8r3vfQ/he0zOlvixG9rDIIa6QYZrTRRFDAYblAjiOCbptKk8RaAsgdbsbg6JRQetS07Pz/nwJz9n++57GBkgVcByOeXs7IwgCNjc3OS9997j8vKS09NT0jTlhz/8IbrWSOlzfPSCm+/c4Td+/TfYv7lLJ/AJrUEvlsRxxOZmj41+jzt37vL4WNMb7uN7CdbCxsaAOr9oJmEVvu8TRRHWKpRyXrwAnicJkIRRi/nJBU8eP6a6PCIfWwJp6PUGSD9klWW0fI/NzR7D4RDP85jP5y57tFoxn885Ojri9PiU73z7O85vWApQihs3bjCdTjk8OiTpdNgYDIijyI1JxlxZNx4fHfHs+TMePXnO9377++R5QR05dxMt5BV925MSW5eU2ZxqPqYuK9rtHhsbG3S7XXzfRwjxSr3+crn8W+5Z/9Nundq5+1SmprYGIwTC8zHCUFvtgFZRI6RxYka28c9uXuYaVfxVnbfrY+mr4+qXQulXwbq4ttTaVk82wf6Xr+/V730dG29dp/BKKruJfsWr7zWbEcIg0W6eiEVXVSM8plEKrClQooLa6aQkge+CaGuhEcq1VmOpAXHN4s9NPsUroIqj/htcWaJpInmLctCHeDXIv05UWJ/79U9x7bM1rvH6eX8low8NeOECfWWBtS5/IyC4dmJ14lYaqoLV+IxupLjx1m0kBTU1tdVYDHu7G1hbXTlweBikFSwvT9HpisvZDLSlrAoqaoSFyo85PDjg/OyUjf6AjeEmo04PigovMWwNurx19xaT6QTQoCuE0fiepBNHRL6HlAJfWqStUVaitcuqGlMzm08I/IB+u8ViPkWiSZe+C86jCCUtRpcInJ1tUaTunEh1JYDrBz7SOnDImJLAd8GEs4atCZRoMogghcVXEokBafE9j7rKkdKyvbNJd9B3gnpK0m7HWFHz3d/6Dk8ePuT4JIXaML44cdRjDRjrRPN8j+l8yWI+Z2M0oKhqhsMe6WLKjbt3GPYHDAYb+FLR7w/BaIwuMaZEmxrpa5TRlLXFCo/aCt569z36gwGHh8cIz3fPkic5n1xihUAjWGUlfhgznjkdpzgJUZ4DoqzReAKkglErQfgKK2GZrgjCgGWaIWVAtzvgfDKjzAukF1Bo7azcLi8p6gqTrTgfn3Pz5i2kcNBxrCCUmkAUhNKjXE1YLVdIKUBJfCmojcanJhIGT4jG9xI0Pts7uxwc/pS01ETdHiqIGW1ucvLiZ+zsbhGHPT79+c+4c/sWdV2SdFoMhkOW+RzPdmm1OugyR1pNJ1JcnE4Zn77AV4bf+73vUwnBPM9IuhFhEiBUhNEel7Wzo1aeE0Cs65zhcIPFbIkQAl+BryxeOybZusX55TmHR3MePjziN777PXqjIZ4fMp/PXCIAyWhjyDv377t5dpZyPp7yyccfs1qlJN0enzx6xOZwxH/1X/4T7t9/g6JY4geKy/EFvU6X7a1tyrIiTlrs7u2y0X8TTyouzk/pdVuUdYESgrIosBY85VEbV2LQ7XSQuFIIi7NvNGXJRx99xHZLI+0KFSqMsAib4PuS0A9JWjFJHOE1Qo5Wa8qiJEszLs4vGY8n3Ll9hw++9R3qf/VH5FlOr9vj2dPnTCaX3Ni/wa1bt6gb3ai61lyOZ87vfj7n8PkBD5+f8lu/8/extkSqoHGOkQ7oNAZjKozJ8T2XGMmzzFn6be4SyIBW3CZbZWRpTp6XzOZTivKlhtTr7WsD/R/9yb8mCELiOCaOY4LAxw8CaqUw2hBGIX57C81/eoH+OtBeZ9iVUqiipKUsx5enLC/mxPs3iFWNarcI6gFVMWUQS5RwmYgrtX1dozz3rJuqRHo+VnivBPPXs8DroPD19/8uNd8TDPtdOoGhXk3wdYa1EAmDrCuEKKiWY+pVTi4qZkqT5RlnZ2cAlMsArV39uxUuY2mMIQxDNnsjp3Kfa1qdhKOnhzx/9JgsW5FnGe0ooD3aIEkSgiDA9/0mqNbEHR/lKQI/wPMdej6bzRBUeMpQ1xnTyTk7/Q7eoOvshoxtlJ0bSmOj6OpJ+8okUaCpyozSWpRUVGUK1rwS5CulqKrqKtiv6/qKWr6u0wdXsx1F0dW9FQQBRe3TG4SUtUev16GuIzxPorx1VslRv3r7NKBBRhCELJcLSiOQQUy6XLEcT9G54ajK8ANFli+RUtPtxaTpktpAWUGiDDrscjgroD3EH2yyWC6pjM9pqgmDiMvLJZP5nLDd5XK+oCxL4iQhT11WP+p06WyMqKqK8WrCdGHIckisYplWGBsgvIC0UHS6u4ySfebLE87OLtDWBbKB7xPHHfajLZT0qKqa5fiUvVGbbrcLAtJVykZb0fYNvViwCC11kdMTirIoEUK4bH2kMbpA5jme9kmqHGaKMB/jG4OdpkxnMzaDioHMUMsTtEyZHz5ELjvs3bzDi6MzhkXJ8ycHTJcZ9z/4Lkkjnig9jS4y9vd2GA12UF7JZ48fcbGy3N55j3lRklWa7ThgNBphki7zcA5iRrlMubi4oFrMGN28gRLQ77YJOgHnLx7x4OOf8ejJU4QK8cOEotKcT88ZtS17e3v81m/9Fv/iX/wLxuOxc6jY2eHy8pI0Tel0u0wmS9qdNn/v7/094jhGCEGapgw3RyxWKf/1f/1PmSwecnZ2ghARUdTm7bffB6uwBkajDc5PLql1xWKxdH7RwiHoUeRKXcDFJq7mtaKua3Rd0+v22GgpYh836ZSSdrvNIInodFpXehR5nlNVFZ9//jmnp6fs7u7y27/923S9NkcnJ2RZ5uymfA/f93njzTcZjIZ0ez28uqJcNTZP0wXPDo94dnjMyfEJYRiSFwXCL7GxwgjlFPeFcYq2WLLVEltmtEKPfq9H3BlegRfXGQYnJyecnZ1dPau/an877eO//H8DEIQhwld4YUB/Y4NagpYQRCF+EIBtalVNY+dqHRVSWdkA7LigtMn8u3ry18oIG2uu1wrPeTW4fz2j/mUB+PVg3r72PfEln61/f317NMdyXZiPq8B/bVorMUhbgagIdIGoKnSV8rOf/4Tf/t3vU5mScpUzL3bdxLIJ1w0GaY3T18G4gF+AtY1D0JoVgLlSA0+iNlZKJrogRYPwEGiw3lW54y9wLX0VBlkntNZ/XgMKlG04BRIQtXs1451cUw1QTX2B00NyJ8oFw76tePvOTbz0BJFfYmpDaS1ZVZMVKVVROFDIWCeHJV05w4vHc7Q21GVJVZYYWzvAUdcUekY79OnevImUHqIR+vrkJz+hthptDUjY3RwipCDyFIEQBIFHGLqyMKkEXuDj+87KsyhyimwJVrNazLFxTJGn1FUBtoXRFVpo8rwmjuMrhxshnAaBNs7qzxhDZWuMKRFWEgQRUeRhTO0o2MJBOXHkEgJSSXJpSSIfo2vSdIXXivEas5t+p00cRlglnc6NFCyyFUpBt9PCWo1nJbEXIXHWudZY4rhFpd1laXfuU1YFUlqybIEwJdoazi7OqLKC5WTW2Nlpx7BSAiEt2mpqY5gtU/eULFKU51FdXBInSTMGmabUa0ZZGpTyWa1WtFVAVRnyokQqSRwn9Ac9qrLg/PQIazSmATqM0FhhKcuCWtdsbW6yOdxhPl1wenoKUlCWBf1+nzAMeffdd9DGuScsljNa7RaDjT5R4BN4gkC6iv0k9LC119D13S2spEBI0NKCqkFarLAYUTKrTyi9GRrDopjh2ZAgXSCDKUb4pEXGdHnE4WnF3bt3+fiTn/L2u+/zkw8/YX+r4t6du4RKgNVEScJ4ck6n22a0cQ8vUDx9/pznx5fcuBMjgoTIb+Hjs7u7SxK3GV9OmEymtFptPvnkEzaHm2hdEUdtlCpBBlycv+CzTz/j+fMZq6UljBPm8yVCrByIJCzffP+b/OEf/SvyNMMaaLXb5GVNWRRsDIZMspzeaJPf/4d/4EpBaksUxoShh+70+Cf/+T9htlwSBCFCSFpJmxt7+6SrJXVZcOvmPrO5s+rLsxJpBZ7ysUKSJCGjzU0nZKgcNciTlkW2YmOjj6imhEGLTq9F3I5JlzOs1rT7LUYbG/R7XXRVs1wsybKM58+eM53M6ba6vP3O27RaHc4vJ84i3kKn3aXT6rA1GtIfDPCUQkmP6XyBMZaiKLlo3AnKvMAPFGm1wlhDN+gDPggPi3J9u63RZcZsOgVr6Xc32NwY0e8NWM5WLBZzVy4ynrJcppyen1HWXz0f+dpA/+LwqRMKMAbdZB0ByrKkKAqGwyHvfvfvs333m01n09SevNKRv0o/X5POXu/Uv6Lr/9L2Nxva/nJre92wR0pXixYGHmEQ4HmKTrvLoJ1gJzMuF3N2ehEBJV6VMj07ZHz5HJl06XbazmNUBNTWZ5kastUSIwLm8xW61gTttlNrATdYGcPxyQlhENBqtYjjGClFAxhcx8F/wflbT1xeGVGbi2HtF8AF2wyiQjb2IM0mbEMtdErHr15XaTXWVGTZgnwxhWKJEiXClBhbQp2jyxTlt+m0IgSa5WxMGIYkgUer1UI2tWe61tRWMRpsNOUSbv9Mx6miKs8FcgjJRr/lROyCkG63S7vdpqortNaEQUgYBVhZNZRpJ7QipeTG3jb+N7/BarXi4OCAydExq+UcKbbRuJo9rG4ovgqp3UAXRa+qXAqcAEqa5a5O0Ro8JdFN3eJ6QPY8B+JY62w8PM/RSpVSjWq9o0SXZXn1vTzLqEUAoqTWKbUOGvVPh8CuqaRCCMp6SRAG6FpT2ZLJfEVe5IyGQ3rDUQNcBIR+lyxf4aVzlA9SOup3EHZQtiJOItI6RCLwBKhOn157QI+Gnq0cMOFNLhDSUJXVFfsgzTJavR6bo012dnZYrVbEaghGkOc5cRKTZ7nTIEhi6qqi3d1kc7uLOTFoG1PXhul0gfITkBGlLon8BCXBMwu2Rn183yfLMraGPTa6LQQ1/U6M2RqRLiYMWx6T6QKAjaRLHLfJsozlaomyNUEEKrCoQYw1ljAM2R+2aIWW7qjN+fk5IrC8c3cPI5xH8ka/hy/hxs42K204OjygO9zBixKKbEkrDtnd7iLslIOjAz7+5DMK1eXuBx6duAdCkqduYBHr51trtra3uP322xwvF8Rxi9Ar0EXGk4PHPH/wEcvZhA+++U1E1OXF0RGdWhHGEa1WG9/3GI02kVKytbWF53kcHR3z6NEjZ8W0KCkqw40bNxlujPgX//pfslhOube/xzfffoubo02eP35KEM/ojXo8e35GELRcXWRV8uLwBYvlDK1LLIp0uST2vcZFQRAnPbq9HgiotaYsa6QssE3Nq/AEZVk6nRIpUV6AHwZsbHTpdJw95Xw+5+Ligjx3pTRvvfUW+/v7dFodVudLJpMJ0+mU07MzLs4v+I3v/Ra94YDaWoqyoC4KVvMZ4+mc84spT548ZVVU1FXFzv5NdF0z3Njgwqp1iHAV4BlTk2cpoajZGPaIWz2MSpBSOrBC66vA/vLykgcPHhBF0df3tb9qf6Pt8Mm/BqwLvBo5KuErSgxnkzHbO3t861u/y40b72OFjxI+LrEoEfggJNquNVbqxg7LjSevZ/UFzp/9C7y6pp9dZ9cFolkPXNXzXy1z7aewV9952a7V87/y8/X2Kjhg19vCrW5tZaqEJUCjZA6yYLffok3MYrpEDxWD8gItJZ4PUPPJgwf0wzZSumyXaF4aV++KUJhmDBPWBZDrkgSh4ezwwqmLd2KiyANqhNAIfDzjzp1pPKzBXlHxrZUui3ztlK1BAWtpglCNoMBqlxlUZu2W4upWhTDO4tUKlKF5jl1wg3UTW2HBWGcRp6oUqUuEcaUdxhqMdiwQiwt0TdXo7bxyrV0pYhyG+FK58yO0A4m0BYMTTxOO5UcN2pqrcgYv8AgCN8bvbW8TSIWpK4x1OhBIp/fk++oKsL+5v4fF8M79N7g4P+f87IJxEjPa6F/N0zAWTO1eax0C2ySOmrmZlJLA953HPBpdlwhpQRisFFxpSFiLNQKFQdgagSGJAuIopKoL5JUz1JopY5wonbVIU6NEY0XX1Ber9T40ZQPrZFSeZ5R1Tp6vKPKU/d1tiiIlXS7ZGg2phxvY2om3YjRKORG72hr3zBsXiEulEErhBY6Cf5UQMhKtLUUBVSXQGoR0YnheEJEkIcPNLe7cue1sFj2BrisQFiOc0v768VSex6Dfp9fto4Siqkqy1ZLR5pC6rvAD5azR6maabgUbow1arZYrD/QD4iTB9zxWgwWB7zlAUXA1X7fKIgLRGArZpkbf4kUxSRCRjS8ZDvqYuiJuSfZubHJ8fMrmcJObt28wHG7S2xjQH41YpBm3797h8vSSB48z3n7zLsbWnF5O8GLF7o2bYMc8O3zCX/74Y+LuJhtbN1B+SF2C1RVhECHlilarRVXV+H7I5nBEHMbkWYGvwFrNbDLl+ZMD8rTg/ltvYUWb+XyG1jVRGHL/zbcAw/npGQLw/QApJYv5gs8/f8Cjh4/x/RgThQx3tti9cYMf/U//lv/+n/83vP/Nd/jmN9/H9z3OLy+JWi3StODwxanTpdraZD7RaFNidE2t3b1RlnVTDi2QnkdZGcLQb54zgRIGhXGxiV1bsErKqqaczPA94cA6Ia/KpMssYzoZc3Z6irGws7PDm/feQkhFmhUcHb5gOp1gjObFiwO+9a33uX37JlVdMZ/NWSyWaG0w2nJ5OeWjjz5CIlktlty8sY8fKNr9IdpEWBPihKYlkhIhKhSGOAwZbd0l8jyqTDOfz5GopgtwHdRiseDJk8cuDvqK9rWBfp2euhphJfEwWAlKSmy+BCrKZcEnf/bf8vznf8jejdts792h1d0Gv43wO4igRW3dSW8JSVG6en4VRGgkeW2azEqDR8sUKb+6zmDdwr++/t8Xm2lxnUInhPPuvN6sLKlUhkE5KjKGmBqZXvLOzoAPbg3pRzVL/w5JJXj3+BHm8pwtz6dKl8Q33mIZd+D93yVXAd/drZkvUpAeRvqcXU75+SefO4ubxp5FfPoxN7adhdV0OiMMQy4+/5y9vT2Gt26hJ4azyYrW7jcYDAbM53OSJL4KhJ2oixN3SasSg22CM3WNPu68cZWUUJZcfPQRq9UK3/coipIwCimLEs/z2N/fpz/o4/k10+kF4/GYoihI0/SK1eAGLB+tK2bzM+I4opUkSCVJV0s8pSiIsF6A6XVoowmqoumonWUMOEHDUIbUdUkQ+CSBG0Ed6GSbQdoghMb3feLAAR5S1mhtULIiiWOkWBAFLmsZ+G1svSJSTsBGCQ9P1Egh8ZRHO/GZ1xp/q43dfBMBzOYnRFHU2FY0kywhHd8LRbb0uQ4UrZXyfRU6q7TUQ1eGVTamKiuyxQZlv+2Ef4RgPp/jUbOajdHGEIUhtiqpdUmxmtNNwitGggDmec1qNcH3QSmNtTWR77IBZVmChTAMaJm2YxJEHmm2JF+e8vjRA7a+/5soK1C+IPT6zCcZnXaLxXiOLyJ836cbblBVJbHvYzPo+T7K8yjygqTyMLa5j5BII0ikT9xVZDpDdZwFTF1rpBQMhyNnI5fVeFpiykusMQRSYKsVgbKOclpnzmZSSzzrU69ybFHSSRKIA/r9Np7vUxaO2thqtVHyHhWWvKypbExRCLokbPQ3MBcpl6sxQvU5qSQ2aVNXNaZM2B3ucDI/Ie5uUhqDNQblBWQFaKPJraSqDVmp6XS6dG+0OJ/NmNWCWoUUZxO0MQR1TVXVeAi8+RKhTxhsbmLr5ySdglRHnF1M+fTxjMdH8N4Hb+HriGoywYtiaq9PoS8xxZzCjrH+nLe/82tMjWQm2vjdu+Qnf0w+dyrB3c0N3v7Otzk4OgElyYslPbOkl8S0kj5xnDAZP8FTCQ8fPKeuaw4ODiiKkpPjBcOb7yFlROYriLeYLxR/+mcf8ZP2Y/7dDz/mg/e/we9+/zeYXZQcl1PyJGLr5g5Ff06dr/jRp/+a1eljOl7NtujSXmQcnF5gWx2SnZvEm3vUnQTb85hXF8SdkL2LBSeTCfXZJQvfotoBySCmFXl0OjEbgy6ttmoyPBnz+fxKm+L+/fv0ej3SNCXNcxaVZFV7rEpotfsMhyNCT1GnS2pdsppNubi4YD6fc3x0Qr8/5A9+/3c4OTlncX5GUpdsCIEZj2F4Hw+Dr0qkXqCzMdIu6feg3+ohEo9SC0wDaBeFE3Aaj8c8ffqU58+fc3p6yhtvvPE3OBD9qv2iZrIF2LUWisvu6kqAkAyCELtc8dmPfsTTj54TtTq8983vIP02eSlIOiPCyKeq9JVi9TpD/YVmGy/3JtJr3NWbD9e2fGtxP7iKrZrfmy9da68H+Ncy91c1/a+D9Wsw4fp+8TLIbz6WDd9dCEWAYacd8b13b5BoS2QkEsvp45x3qi6jzhxfRdg33mHaCXn73fsEtWRze8TlbIH1IvATllnNJ59+jjUFVuccPH9BllVsbW2iFBRZBtry8U8/YXtrixubm0SewA8COv0BpUkpVYVWFtjAiA1QCilV43rSMOKUx+npGYN+r7Hc1ZiqcuWP9ZjD4x9zdnpM5IUIJBE+iQ2R+Ozt32J3f5/KC3h2cszh4QuiSCBkRrqcERpDJ4yI/IDCelwuKiJP0PUNPhlSVmilMWiMduz+MIrwlIc1Blu5gN8FCc2Vdup07jiEhxe4MgVprBNTFgICCcJSCxp3FksU+Qz6fTCGutYILKoB8KXnWH6edHbCUrr5p1Jg44DQk4w2+ijPZzGfEMcxunJ6CFVRuH1tEjE0ibZ1LsfUuPINXJnYYjFH1xWLbInvB5i6osxTsqIAa1gu55TZAmNqlllBli5Yrha0O22qPCWJY6zVSKEQGiJrOH9xSBB4tKIYEHjCA+MscAtTEgY+gVBkReXubG04Pjzk6dNH+N/7dQb9NmHoYU2F8JrjytxcxgpXepPXNdoY8rIgjkOCIOT49JT9G/too0ka1tVymTIabTMdL/G8FsZK8qxAW8twc+hYs0owXYzxPIkVBqFomD0uken7PkJJfOUR+gFKCOq6ohVH+EoSBT619vA9RVWX4HuEobtvojhmuVgSBBHpcsnO1pYDtZViPJ2SJPFVP1HUJV4QcGO0z9m5Y7HGjT1wlRqCOqZVtSnHluUqRZUB2ztbtP0Oy3SFNJaTw0OOD48Rwud8cUocl0SRoK4sF6dTdkdDtDF0u5I8W3BxdsTx+ZiT0wW32zcockhkgLCWNM2wgWC1SDk5PkUpxTe/8QHpYkaRThj1+1idMZ+P+elPPuSNt3b55vvf5Cc/f8yNGzc4PxszGPQJQp8gCkBA0mlRaUNWlDx/+IjFIuXo+BxdW3rdFjOr8ZOYymjOzs/5wV/+gOfPnvC//PGf8f4HH/Ctb3+LPC15+uQFRit6nSH9bhcPw//0b/6Q6eKYTjtE1zWT8Yq6FoxnS+688TabW0OSdoKxlauKsHWjG6JZLufYbEq37RMlTntrtDF0LhK+S8Clq5TJ+JLLywvCIOL27dtsjbYostJR6fOKPMswtcYazfvvf4NOp81sMQcjmcyWZNmK6WTC84NDRsMt/uAP/hGHz49YLDOydMV4fIGX9PDViLWjlLAKIZYob0zkSdpJG1tbylojmrIkrTWL2YLT0zM3J3nyjOPjQ7a2tr84ljXtawP92DMopRFNDZzFEsgAlfhUFWhdobOcWT5ndnnORz/9GZqIwdZN9m/f58bttwlbfWRtsCoiDn20FaR5RqktKohfIubCNvV0X7tLa4by33BW/9po2ggiXGfsWSvchRDKoaPWgHC+mJEXkAQBkTSkViGtxdYFRw8+If/4h9jA543RiPbtN6iShLSExANfKYSS2EapPfQVkRcgRMHF+Rnzg6ckcoc0TTk7O2N7e5t27GPrnB//8C84OjrCyIjN23OCMOTy4rJJzNsr73XnsxogItd5rVkXUgqX7a5qhIBOp4OoKp4//YSdnR363YTnz084O5m5oDuMkGSU+RDPMyyW8yvKWOiJK0u4PM9Zpm6gqIqM5XyK3N4mCBxNOcsy6rqmLEtqY6lt4w8qBUpKoth5oq+teTzfw1hDVWvWdII1ndLzfXzfCclVZYnne3i+QDTquVIpvEYoTJUVSnkYo1HKXlmsGevQeNkoXnqej+8HV3XxWV5QVrU7zihqGA4GaxoOQ+2sZ17eJy6rEIRuHdKDXich1i4j6Iua2cWJYxiEEVQlrdAjCRzw4imPUDmEusrmnB6umtpg6SZBMqBazjBlQaYLytKxE9b2ZFjwAx+T9BzaWZfMF1MW8zlxHHF6ctRkDgSYCeOL3NWGFwXaZFfWLQ4AijDGorVjF1RVhdZhc/yiAT9crXatc6SqsdbR2IqyRElFmvpIJakqBVjCwMdo3ZwrN2ly+gSudEHrmixN3bRaCGe3hyVNVyilrsTmjHEATxiG+EGI8tx9EEUO6ArDiJu3buH7Pnme02q1HEJblrS7fcLpHD8MGTXq7kmS0Gq3HeNIOMZBkiS0222klERxTKeo8NsDl9W1Ti9Da3e8ta7d9j0QtSZJQg6OTvjswTOCqMuv//pvssw0q1VKf7DFqsipypK8KCiWS9L5nCCO+OyzT9HtHbzODroqkFgOjw7Z2Bjw3gff4ueffM54MuH9b36HsNVhsDFiY2NIqJxI3Hg8YblcobXhwYOHDAYDPvvsc/7ZP/u/8sNPTvj00Qvu3LmFrjXvvP0252fHfP93fovDowPanQ6X4wmDoEteCrKioiU9+p0u87oiSzOsEVijmOUrPBmR1RW6KCDP6SrFoN1iNhnjBTHKWHwJSRgy6PXxlabd9omTkH6/hVKaskgJwhBPSMbjMfP5nDt37jAYDEgSJ0TkxO9Knjw94yc/+Smz2Yzv/85v8b3v/TZKKS7Oz8jzFbP5lPPzc1qtFvffvs/O9h5R1Obo8IRBr4eSknS1Ynf/NkfZEtBUlCR+ReRJAqHodiPakcDqzPVvNmyA1inHx8c8ffqUPM+5ceMGJycnDAaDv9FR6FftFzS9Ftlz4/M6EywFSAN1XrLIxizIEUrx8MmnLLKavf17vPX2t9m7/QZekAAvA3M33L9KkZfrbHnztxC8Fqg3H75eZH7VmsD+igK33sZrUfs1obsv0vavL/qSQXC1njVBoKntFEIiDMQWBigS07DbNQxXNfHj59Q/es5ZmbP3//h/Eo22MEbhS4mxkjBUoBTWlxSFy/CBxuoCYQqePvmM2fgETzmhK2Ulu6MBq9klHz99RLVaUOmSt969T1otuVyOsb7Eii7IHo4yphBCsrGxQeA7Fs9queQpMBgM8D2JrwTbW0POz57x7MFH3NzfYXdni4MXB8xOjyl1iNWKxdk58/NTaLVZVhW2XFHqGtSKzUGLloViOmM1TdEiotveYjYZ0x0kBJHnPKyNG8vXgrd+4DKPpnbiW8Laq8BZYq8y8LKpqRbyZemDMg3pVrgXQjo7ZWHxhCVw0UYDD7m64TUTQDWWahK3biUESjq2gK8k+C7ZJjDk6QLVZB6lcmyjqpmLxa32S7eI63ejEA3dHjrdFu1uF2ss8/kU33e2ikq4TH07ibDW4PsB2mja7a0miztmsVwCknbLseqWixW2yLmYLJle3ZIewiqU8vG9oEkcxayKgsD3MaZCKUmn22E5nzO5OEFJqPICKSRKKJTyCKRqmDeS2hqk55OVlbMCXK3QDdaHFKRF7uZk0jKdjylqQ6U12giyIgcBpsgQpSXwfdo9H4Oi0DlYQxQExEFEpTVFnrMuaXFsNX0lvG2sQRvt5lbCUFUFVV1jraHd6l6xma11oMHafSJptdje3iZptcjSlO2dHYq6YDyd0G61uTg7p520HEXdQtByCbKL6ILBoM9sNsbYmlF3hOlqFumKQXeAUo6llJeavKjp94Z4ykOXJcVyRTsx6Kqg1AXz6SXHR0fIwOc3f/37CL+FImA+WWKMJU4SVssU3/ep6wprLQ8++wxd5WyNBvjSkqZzLi9O+OAb77G91WMyn5GtUnqdLoEfs721SbfbYe3UdnJ8wuXlJVmeM51MiaIWi8WC3//9f8CnH3+GrWtKU2MlvP/uezx79ID/w3/2BxRVxWKRooSP8hVWSLJ0wRtvvunKI1VIVaaUZUFVeWht8LVB166/VVJduVr5vsKUpVMTsRXCalpJjPR7dDsBvd4AISx+I9C4Fjqvy4IsS50t9vYOraRFXRvG0ymTyYSDZy/45JOPef78Gd/81re4ffs2QgqqumY+XnB2dsZsNkUK+Na3vkWStOm1O5wdnqKExNQGKQKMFliVuc7aKgQenswJfE2gPJSQbtxrHuyqcnaFs/GMg4MDqrJiONrgxYsXjEbDL44dTfvaqNq3lcu0IRDWBSu6zh3Vpywp0pRKO1VIYxXaKmoTUKYpZ4eHPPzoI+6+8TZ37r6Bbo1QMkLXBomg00rIqhqnM/mS/C1N8HW71Ax8v3iRX769pO+5JnglygewAmlCaHyzHYUJPGJC1SKQMcJUBMrVgSSdhI29XbrViqDdQnU71E0NXCghkE6UCiGxEmJfkAQSPwxc/X7h0KQPJydXQm3T6ZQwDDlpLBTCMMSiKCYnlEJgsuwqUKl0TaU8cs/5lK7qkvo1h4C1DUuSJOzv79Frt9F2xfHpEyaziMlkghQCP1BU9YKnzz/lxaHC98MmUHVid+sAv65r8jxvxOQE3X58ZZN1fn7O22+/zWTy/2fvP5ssS9L7TvDn4qirQ0dkpKjMytJd3V0tqgEChCRoHNBsbJY7HBubmZ1Z27dr8yX4KfZLzK4tZ2jkEMASAIGBaN3VJbJSZ2hx9b1Hu/u+8HNvZlYDvWZrJF71sY7OysiIc4/wc9yf//MXY3+FGyp7HHjHV2oDUtDtD3xuallS5AUbvS7L5RLjPH1vZaq2Cu/J8pIsz2i32zgMRVkjhCYIWyRJf32u1mlqK6krQ5XlRGFIHMdEQYRDMp1nVMZ3bWrrqf86xMsGTE1ZGoz1RfXqxe+sI9DuF64pQGV9oZ8XOVGoSESAECGyyhhPrinLkla77dkxdU2g/WMonEUpR2lqTJqjwhBb+wmvqmtKK6iWE+qqJJtUZHlGXfnn8tUxO423GgpSTVllWOeN0q6urtGBQClBGCSMJjMur31c2WDDX/sVqp0knk5vrCXQAVVVkuYbmLomb+LrPHvD4JRDt/xxlmW5pl5P5zHdTofFwscWppMMZ9xr16uqKsIwpNvteqRyPl97GKx00VLKddTdSsqw+m+fGFDgnFtHn2VZxunpKVVVee1iEFDXtddp5zmTyQQhBFdXVwRBwOXl5fpZiOPYU8y1Xn+2f+/VFLPpep8rKYepvebMWYdtt3wqwdkF18MZu7u73H3zPV4cDxk47fVcOLSS1MbrPMeTKVdnl7TbbQ7f3CZJAlQSUC7HHL94xv033ySMWzx+/JhHjx7x9nvv882PPgIZMFuklGVJVvgIuul0ipSSbrfL9vY2Dx8+JIoiT3c/P6Mqcr790TcJtO/0vf/e27x1/x7vvnOPP/3TP6ETB2zu3WB4fUXU32O7s4muBS4zmMxRFYrCCGbzKTZMmJgcSkkLy/72FoMwIJtOCVHIsibLUtJsQVFmjOdDTNWmHQ3QugONkWldV4ynM5xz3Lt3j93d3XXqxEvTu5RHjx7xwx/9kPl8ys7ODs65tf/A02dPqOuSvb09Dg4OSJI2cdTi/Pyas7MzgiAgTTOePn3K7o1byHbtJTVlQVUWtBJoRzHtKETLiiytqXJD3jjrTyYTiqLgW9/61pqG+uDBA/r9l++YX23/+Te71s37v2ulCZOYRZo37wxvGOxMSWkMOSUyanF58Yjx5IzOg13uv/sBd998izBsk2UlQZhgLFix6tivfFfE2jDfr4AcXm//Ck1/RftviqvXlw2iqcdXf9J0/le+AKb5fdv896qAlw0A8ApzYPU7jSRgvVoSnqoqGg58Xdds9NoE7uWuMaAKQzzPqVPD7ds3CGOFVRYDhHgGehJojJQYCdgKjSNuxZSl5bKuyeZTyuUUJRyuqpBWUIwnpMsUs8zoxhFRK+T45Bkoh6PGFuAocG4CQiGbts7VufcZWiwWJHHCbD5j3G41NFuL/NbXCQPJYX+D4y+fkI+mzBcL8kWOERXWCCQlhSnJHMgoJAw1SlqkzhlmS1IhIS9I50vCxFGkJ9y8cYi1OUcnp3T7MRfDM3Qc0u54unUQhp7xiCSOAvqdLvP5gixfEuoQAegwoKp87ncQBtiiQqsAYSo0AhVqdBSwzDOEc0glSKKAKNQodAOWQtLQiiezmfeOaXvjYCEt88WY/YNt6rKgrhodv9bUtWE2mSKlWssO/frQg+dFY4DrJZg+/UdJP08GUQTCO4kLqZs1vWN4feWbQwK08o0Pizfqi6OQVishy3LyoiRUnq6eLRbYBtzOlotGqulYLJeUeU0YtMnz0jdXhKDd6mJxpFmOMRW1q+h0WlxenWNMibAv/SXq0lDkNdub2xR50dD0NVHSoraGqqpQgWKxXHJ0cur9YhYzOp02WiuSdpt0mRGGMQ5PwbY4VOnXdbUNeXE0BASLxRJnHb1en7zISLOMxWLpzVe7XfLFgir3kjBnLUoIqqrA1CW1ERhbIQRUdUFZ5VQzzwAzjeeSdd5JXUhI0yXD0TVxkjB7/CVhErFcpiwWC5y1nJ+fs1xmtJOEMIiw1iKFYDGfUJUFg40+08kU42oWaUqaZg3YowjjNqHSLBdzTGV8YessWRqgqJnPhiymI3q9Hh99/D0ePH4GKqHX7TNn6SVoQrKcZYxGY46Oj+m0OxzsbjPob6KUQGmFczWdVsyg2+Ho+RGPnj7ja1//LnfvvkFvc5sqy7i+vqKuK9I0YzwZY6xhc3ODdrvNzz/9nK2NbYR1pMslJJp777xNq9elLEp+//d/n263y1s3Dvm3//Z/5+p6CBImkzm377zBxmAbKcCYnKrMccZS15blfEEcJJRljRJgTcXW5gZVlbOYT4mi2L+bbcnw6pzFfMpieoFSO9R1l143xtqKbJ4SRxtMxlOKLOWt++8QBBqJYDKZMpstyNKsYUu+4Kc//QlVZXn3/XepqpI8zaltzdHxEdfDEbdu3eL2rZtIrcnSgslowtXFOUo4WnHEyfFzdm7cQMgpVe2wxoPYUlqSKCFUCq0sVbFkuligpUIKyeXFFWVe8s1vfpMkaXF+dsYnP/0Ze7s7f+/c+UsL/Xw28tThMEQDgRRr/a0tMqStoKoI4pjt3U3anQ2M0yjd4vJ6xsXzz0mvT5mePuXuN36DG7duEwUBVIZAGYq6Anyn3OGDcaULftkhvTLh/SfaRPH6Dv8OqoBANgCEXGuvJRZNRKQSIiGRJiAWDlcuWWZzlniKYDGf0rE1OoBAWFRVEApNJHxxa4WgFQhCarQr6YSKdgB5nvL85Dlaa/r9PovFAq01y+WSVqtFFEWUeUGx/HSt9QbvMq6k75JL4bV7ZWNmsgINwJE00R35tSO/fkGv2wUMl5eXjeZPEEcRSmsCranqmjAIkMRYK2i1Wmta61cTAKQEtbTEccykQcCePHmyLqBWRdsyz2iFIUoqkiRma3efJ188pCgLlFTs3TgkKyvOLs5RShFojdYNfbw5xjQrCJM2WgbU1oMIpVGURjVdZ3CioHYBlbHYotHnCOcjhFzNdJpSG83GxgZRLNcgSG2gqizGeD2PX+RrhHIIBUKb187bWU/7McLH8KTlkkHSQRgfm2cqC1VGKP39Fk5gbYWoa9I0BSFIkhhZ1xRZRhL0CISfsCMpcVIR0KWuayaTCQsrEFHYIJcaEFRVjVGNASGWFhFKC4QwpJk345EKH6FjvaY+SzN6gxA3SSmKEqm9WWRWLMmLAtmYtqXFeN2JVlIRxxHtdhsVKUxmmsLbUJaVZ23UdWPQ5lBS49KIqqhfGzerzu3KMHG5XDbn4xkbqwSCXq+3Lr5999+so86M8Z/9ox/9iH6/v/73FdPBWuvBlSa+bVX4F0XB5ubm+n5nWcZ0OmU8Hq8NEFfmibWxOOV/T2lNu9VCCLnu6MdRTLcdo3EUecHW1iZbuzeZzWY8efKYD7/58focwyAgL0rydMFssaB2grtvvc0bb77DyfUEZZZ0WyF777+LSa948vQpj54+5wc//DF37r3J5eUlQdwmij3QNp1OuX//PgB/9Ed/xB//8R8zGo04Pz/nn/2zf8bjx48JtWJ3e+D1lNbw4fvvsrH5XR4+fsBweIGtS8o85yc/fcThG2+yf3CH5XDK5fElrSQiUjHzzKFCTWt7h9bBLpQF1koGG312+j3OHj5E65hsOPbdmSTCuZput4Uzc7a2B2xtb6ADweXFFVrC7v4WQRCwu7vLwcEB8/mcunkeVvf38vKS73//+1ycX3DnjVvcvn2bosiZTqecnLxguVzwzjtvc/PmzSZSsKCuLMPhkKOjI7QKSZJWEwUoGA9P2N3dJpAGV+aoVkASBriqJs8y8mVOtiyYzjImkwlhGHLz5k0ODg7IsownT55w9+7d9TX/1fYPswnju2Q+It53WuuqIk3nVLVtGHd+/mnHEd04QQQag6N2M8bjMT/5yRHD4UPu3/02t2+9zTIrUEIhMDgh1g2H11r+eBO/lzp5Xlbuq7i716r8V5oHbsUItI2fjVi1Innpzt8U92uqvnj5/V/4XC9VQKzi7BprPCcwZUWSRL7Lr/2vEzrSGBbtmG6yg2z1mY5GiO2MWMdIAxpJEoRUKGohUNYSCOhEEaWokc6Qjkfk+bJxh/ca7YnTSKGQzpIujHexp8aYElNXSAlJGBCHEaHUKPB+T42u1jpLgZeDllkAUlLZiu//2RlRkiC14uTsnBdPAqRSdFpdaPdxFkydM1mOGtd/GjPQHlBwOrxCNu7ot2/c5OLslKS7QZHOOb86I81mTBaCylUoYz2zTymm0znW+JjUQbvP/jf3efTkKVeXFyRxwjc+/JDzi3Nm86lnt0YhrjbYsiJC0o0jJtMRu/u7tLod8jRFauFBYNswOCyYwpDW1jNb65osn2CsR2asrRhPL4li31BaLBYorUDGWFv7NYu1aOFw+Ii62ta++SHt2ifLL48c1hmscWRFTm2sj9ZTBikkgQyYTCe04hi0BguLxZwoCqmdw7oaIaxfU9SGuqx8cSlAaUVtHLdv3uRqeIly+CZPpOh0u2hdEIQhxsF0OuPw5k22d7bIitTLZYTBmpiqKnFVhVYKU5ZMywlhFDDYGHB2ekZRGJA1y6oC4eV1zhnyouDs/MyzCE2F0oK9vW0W6QyEY5n7h68sC5xwjEZDlNYMegOiMEYgKXLvbzC8umS5SJFS45zlywdf0G93CIKAIi98TCsQBJpOt8X29iZx7BkPzhqc83LFLMvJ8wJjfGf48y8+bwp+h7EGqZSPXa69DHUV1aykwhmLUsp7bymFNQYdaMaTKWfHR/T7A5wwlFVJEIeevVhbhJIoPUOqwFtGWIc0hnYUkiYBpliSpgtarYRuZ4vzk2Nm0zndzRbj8ZQwiEiXBfP5gtl8znQyJQpDPvzwA24dHjAaXiCkJAglgfZMk8cPH/L48Zf8+Kc/Y//wTS4vL8jLEq382rwufcTveDiiLEv++I//mGdPj3BOsLdzg7OzMw94SgiSiMvRNd/+7nfodxIePnnUdKd3WC6XnJye8MEH36Df2+D60kcgV1XBYNBhthzhrKPT7vKNr32NH/zwx3gPworNQY/FdOzBMmu8n5dUFMsJvW6MKUI67RZhqOn3uszG1+RZSp7FJGHC/vYOSdxC4FmudWWoypI0Tbm+vOL73/9bqqpkd/8GhzcPCbSmKAo+/+Jz6trx3vvvcbC/jzGrpBLH1dUlw9HQGwRqy3x6ASy5vDpnsLFBFGkwhlAr4miAFqCFJC2Nl97kBfPpjCiIeOf+22xubrKYzwl1wJt373J4cPD3zp2/tNAv8gy/SBcenXOWPM+YTT3CKgCUImy1iOOEMAiYzzOGF9eUpaWlDMXkgs+vTvnxw2f8xm/9Dh9+/SOk1JjS4hW9ng7vhNc9YV89pAZZ/4VJdLW9/L61Zk1LB7E2O/u7NrGigQsay9av6vTqxojH/5xEIKygdj4uTAuvTw6FJtEaJQUYgTIFInLc/OAtDm5tIoTBSUG4uU1aLkBJ+lFIkBaElIim4CxcSSRqMAVKaTqhR1uTJFkXICvqcqfjzcSWyyWdOCaRHuUMrfXFz7SibgolbxKoiZIIP4YMlfMu77Orybo7Ok+nLMYXpFUO+GJzRbPXOiAMvTFcEASEaoBzXhrwqnncymjOfzmkNjx+/Hj98rq+vvZZmrzs6EdIytB3/uraMFlkDIde+1/XFXGny2QyJstnDYqt1/4BSkm2trapDAwnc6q6omjYAEIInh15cMA5x3w+JwxDjKnZ7rWasfGSXgWwubnJzo6n7Lbb7TVwolSMw1BammNQzbmCYb4+FweYuqaqKz+alEDFAVJL8umSfEUDxC92qtLTvtLlEiGlv1dKE4cRLvASBlOVhFp7jeCKXtiOfXE+s5TCkCQJ1nhgJ9ABVa2pwy5SBSyXcxy+6JXSEoYRxnidmrU17XbIYLDHbDZjc3NAtxtjzMtosjTt+Hg6KRmPx2xsDFguU6QUnJycMhoNGY4WhK2Qwd4ApSSgCCPFfF4iJOjAUZUVeZmTT3OwvsO+vb29Lsi73S7dbnfNClmZFeZ5TpqmTKfT9bNsGuq/McaDI7A2p9RaM51O14yTKIrW4JKnto9otVoopV6j9K8c6FdA2Crp4OV49vctT5ceKAsCymZhbow3DwqEw5Q5o+trBhsb7N+4xXRe8OWXX5JlGWVRYEkRMvTjKVtSlyVCanTcJi8tf/mXf8HN229w9/Yhk+mQ6eyCkxcP+eyLL1FhzO/+7u/y8ccfM5xMefDDnzDY2OT+/bfZ2NhgMpnwxRdf8OzZs7VB4ccff0yn4xcswmXsbW3Tbyfsbw+wrs0XX3zKg09/Bhh67YTlfM5m/y69zganz15QGdMwHGJ2egOOHz3GVpphNmdYLBldjdnsb7G50affirh4+ohbh3eoJ3MqY7i0njo4mVwzur5AuCWmGLO73SNP5+zubLKxOaDdHONyuVyzg2azGVdXV1xcXHB2ekGWpQwGA9555202NzY4OztnOLqg2+3w7e98RJJE6+fZGMNykXH04oX/XuBTOx4/fkxeGbK9t+m1JduDDlGrRS9RKGrKLKfOlhRpxnS2IC8NOzs77OzssLm5yXw+9/KkxYL33nuP/f39v2/q/NX2n2HzBm3e8V0Kia1LlsucbLGgsqDDBK29hlpLx+bGBsZasjIjr0qyasHF6Jjjpw95+tkJb97/Gt/+zseoKPb7s3jzPus/DaHxPW8v7VpR/Ff59R70b1z8V137v4sh6MBX3a7pzq9AANt8xqsif/HK771a5Is1hV+sj0EihQKgqkrCxm0dYUHVOO2B/v57d+ne/C9RpkDqGN1LqESEqvxRWaUw1mKsXxCGAkLh0E26T2AcoXVY4+nsCu/Oj60pm7nM2MqTEZTvYOIMpqpZFimpsWiadZOArZ0dgrbPgV+kKVVlqJbGy/mMRUchQmqfiqF8DLE1hvlixnLRFONNUfNq3N/pEQjpmvEBcRgxe/gArQLsZMwym3M9vKbT7TCaXbN/Y4/ZdMloPGG1zpVC4mrD8HLEZDJFCMFikbFcFDx6/JzxZORjCJuCu9NpMR6N6He6xL0uqYHz8Yzl6bk38bS2ocB3/RiwIKyg3W5RViWdfo/JZEwrSbxEti6wrmSRZdzYP2CZlkgJwcKgpCAMezigbJhxSsUkse/ur9zwTW28Zh/PmHN1DU1zSkoN0hsH1haE9AlPFtnEgM1o99o+lg/po+RqS20MovDFnNfEW1pxyxNHasNk6pkGcbdFu9MGpQnCCAR0+12U1mRZRlX7XHClGoksFiccWZ6RhBEffPg1Li+uOLh5QNJpYRBYJwjCCGsMRZGRJC0WCy+5q21JZUquR5ccnx4hcIRRQK/fpzZVI/FxtFoxcRQRhRqM9fHYxhfgVV6TRDFJ7JsOm70BURAihaS2hh3jfZ2kkkwmYybjKUHoDdHkKhbPGNJlipCKTrtD3bATnbU4IRgMBgglOTo6Ymtri2WagvC+TkpK8szHKhdFRhCFDePNg0SdQbeRooYEQURtamaTGVVZNvfc09sd3hw5iUOCrc0monFKv52w1e+RZUuePX3ONIN27wbj0cxH8Zma5TIlz3KsNQwGfaI45LPPfs6tm/tEoffR0QqOj57x9NFDwjDgex//Goc3Djk5OeHZiyMGvQHvvPMOnU6H6XTKcDSkLEt++IMfMtjY4P33vsbGxhaz2RwhLIN2QgvBIE7otTp8+vOf8pOf/YR2p0cYhcxnUzY3N+l0Wrx48QzX3EehLHfv3ubF0VMfiVtbfviD73vDwChBS4ewFZdnx2zv7jGZTtBSEGpNEgiG4yXT8ZAXNme5GIE9JFCCVjthd2+HdrtFFGhs5eWvpq69v0ZZMby65uTsjEW6ZLpM+dadW/QGPc4vLkmXKe1Oh/v33mJvb695f/g3dpWXnJ+dURQ5FosxJZPLc/7yL/6Udr9Pt/chW7s3fBPZWuoq9/4OUlIWFdfXI5wxbPQH3D68uWbc1lWNM4ZvfPh1tjf//6XuJ975Pa99/qDvkkHcHWBlgNaauNNFRgm5lYwvrrm+GuIM4DxKJVG0o4BlueDLz3/KjYNtuoMtVBijpM+/ND5wAumiJoXVI3emNo2W9/Xjklo3k+vKubVBOYPA53ziJ4YVpWm1mWbiWsedCYk1OV815LGVfcXMTqIIEAZMbb1BiJIE2tKNQuoiYz4pEfkCEedIUSNNgQyV1/JrzXw+JkOSZTOUiBBzw3Q2x0mNkwHTRUoiaoqqJE8Nqs6IQk+frqpqTWUOw7ApvpuuOKAlBJEvSrVUKCWIw6g5R0+HirRCBdrTnMuSEoduxWs9ijGGqtGNCyE9Kig1WnvX/TxfRbgoqrryhWpVvRxETRG6KvYRDlvna5O+oijWFP/V9Q+CAFd5qhZ4ndzVeL4uzIIg4Ic/+RSHRahqPRY8/Rnvsv3Fl8RRTL/fXztvrrejSz8RVBWqYQKURc6RLVBSorRGSbU+/uEk4+GTE+azuWdBlCVJ7CPKyrL0Hd4oJNABDoe1NbUde2+ApjDFeUfYV7eW0MRy5Yrv0UGtA8IopGrMvoIgaAoyR1ZNcA7KsiB2grgbYqWkrCqUbGjf1uIQ6CBEhxE4x2K5IAgj4lZEjjfQs9b4boDwlNE8z0mSEGOrtQ49XaYopRp9PvjidbWI6TSFrB+Dzomm+x42xbAmzwvOX1zw9PQZy+USIQTbW1tUVUUcxzz44qEHXHDYecLmYIuNjQ263S5XV1f0ej22t7fZ2tri8vKSmzdveu319fW6a395eemR1OtrBoPBOl7y8PCQgwbFLMuSwWBAq9ViOp2ilGJjY4Orq6t1Ab9cLplOp378NPu11tLr9QgbOUe77aPeVkaTSinG4zG6QdmlFBBFzMfX3qgy8LKGSB2ynI7Z39zk8HCXi6sRnz94ypMnT9nZe4O9/X3Gs5Tnz57jqKjya+JWm+3dfY+Gx2329kMG7RBVTInyEQ++/Jyz82M++OADbr9xjy+fPOf09IzBlp+Mjo6OuHfvTZ4/f858PufHP/4x7XZ7fX1v3Lixftbef+cm83nOdHjJ9cULvvzyCybTa4R0LJczLi/P2Nk9ZBFHvDg6oh0FvPvWm2x0Nfv7u/zf/sf/lv9HsUSHMamdcD08J4kTDg72aUUBX/z8J5TLkuvjF/Q7PdIsZ9hQVMNAsLXVpyjnjMYl3bZkMGizf7BNHEcNsFev5Rrj8ZiTkxOeP39OEATcvHWTzc3nzTtHeBOa8TX9QZ9bt2/Q63URgvU9wzmqynuBAGRZxnyWYg1wesxomnF++oibezt88NY9ujd2KW2JSeeUyxlltkRJyfb2Bvv7+/R6PaZTL9u4vLz0i8HNTbIs+2XT56+2/+Sbn+/LoqJyBuMcBugNNrgeeeZFv7eB1iFVDUdPn2OcozYGY2tKZwlcQCRD0tkVL578nPt3D+gOtmn1NrwU0sHVeES72ydQMXnmCEMw2LUmf6WPVsIDAP7IvK777zrmVZEvBI0RnXjl+69uX9Hxi1eKfPA/v0IVBM1c28y3tiQIDJPZNWZnQG2WHpiwEucqbLtDaWJqY7EZuCJFUxEFCRbHdDyhtAInA6Q1iDolm+Q+C70wxEiMkUjfl6e2NZWtKE2FESVC+3ldaN0wCX3zwxkPilsERipkoCgQGOswWiFbbZw1KAPSSSKnmq6xRCjvUm6tXdO268YlXUovn3TNXOCsv55CSoTSKK09q0BIXLN2HS18BzOrSxCC45Nzv77AF3yuWTM6Y5BOcHkxBKkIZICSkuvhdD33e2d15Q0hreHF+SU/ffwM6bweXjcmfqzv6BSExEpHVVf0ul3SxYJQezquFB5OCkNFv9cny8d89tkl88UCqSAOvN9Np9NBIInj2Ov2pUAqX7jPZwuE8H4H1kFZ5KjmZ4TwRWkchUSRv8az6RRwdNod36GvK8rKsRwv2d7ZRFvJYrL060Eh6IiQKNBUlWE+n63XXVHYQgcFYdjGCEFalkQtb87nx6dqmID5ukniWaMKIQJQmiiM6CSttUxRaIGMFUXuo+6qtMTWZl10LSZTFLBM56hI4yw4I1ksl2TFGHN0ymQyZndnl93tbU6Pj9BKUVcWWzuyPEcKxc2bt+j1BkSdiNH1kF63S6/lGxyT6YSdzV2iKObpk6f0Bn2Oj49ZLOZIKVksZuzu7Xl/JDybdmtzc73e6Pf7xHHM9WhIvz9ABRqh5Jraf3V11RSvCcOhp/VfXJ8ThBFBw2QMgwAtlU8TmBaYqkI3jaWirnCA1gGTxZxuv8/FxTmbG33aoSZtR+zsbBFryXw+58njxxyfXdPfvk27NUCVFWnqO+Sr5AKtFWGocM5w4/CgMZJsk+cZl5cXXJ6f8+3vfIetzS0urq6YzWYc3rrDdDrnZz/9hL39Pc7Pz3n48CF/+Rd/QV0b3nrrLabTKVtbG0itaHUjPvjwPbKiIjgfMZ/k/Jtnf87l1QVBoHjy9CF5maNVyM7uAX/7/b/COMc/+o3fYNDvkCQhG/0/ZDy6ohVHTCdTPvnZp5S14d69t/ngrTepiwXTPGUyvPTvXmsb0ZNla6PP3u4W8/mQ5cKyTLt0koi3336LbrdDXVfUNfiIywWnp6eMRiMmowk6CDg4vMHB7ZsE4zFxp8Xx6SnT8YR+r8e7b79DqEKW0xkKqCrvKzWbTplMpxSmpnZwfHROCaSVhVBxenrBnZu3ePvN++zv7FBXGdJZpDXMZlPCMOJgb48be3sUWU5d+cbm1cUF4+HIsxx/yXrklxb6GbF3q153uTwlOIwTdrYP6fV6JL0BJZJ8mWH0jL5skc4WVFmBtRXGOlxtcSLjxdMH/Lt/M2OwtcvW7j7b+zdQYUxlBYtlhrCajf42vW6XKI7B+oGn5OsTYq0qrPO56KvIvzAMsa6kKO1aqy6+8ns+IoTXcs3Lsnipm2s2pRTewdT6IskWCCpacdQgmDnOVMxnUz4fT7jQGaFZUpZXWFvhXO2PzVmcUiyqnEVZUjhLQITKJMPRmMoKaidYZAXnVyPmaQ4qYDKdkRVzrDNrwy/XaPBW/73qOLqvmARJGaDWhb5/ydeNiY/SEZEKUWFMWRR+H1KijIHKYCrrY2asw8oK0UTpeKd1iZKh70DI1z8zjmMfWbGWBlh0qF+7zqsCfTWWgiAg7CSY2rvse3BBICwIpXBSN/fY4QwY4wEdxSpeJQQrKGrHbJkhCLD29SK7mOZr4EArRVkWBG4lH4AgFE1neIq89P4BrinEy7JEyBnXk+Vr2vXAZxNhbQ0ybeLx9Pr8v7pJ5xh0esQNS0Ig6PV6Xk/uHMbURJGlHqWEYdCY7/nOgtI5CxeysbHBs2dn9NqJj2E0hiiOqWVEOs+JoojUKIplCVRYfGarakCmdjumKPM1o0JrjRAtBPE6v1zJhDiKKHI/LqJWtO62p8uUfm+H4XBIr7PNcDhie/MGrXjAaDTixq27XE0vubi4oNPpcOvWrTWz5o07Hii4vr7GJZqD/Rvs7e2xs7NDt9tlc3OTPM+J45hOp7M2awyCYF2A2wZ06PV67OzsUJYlFxcXfO9732MwGPDJJ5/gnGN7e5tvffvbfPH55+zt7Xmg4cEDFovF2gtgY2Nj/W/zuTdNWS6X62NZXY/lcomUcs0WaCcJoXSNVMCyWMzZvHOLO3fuMBqNscbQ7bbY3GyzXC548OABjx8fcXU95N33v702iOl0u0hRM9hvkVWWL548J0w6bO8dUKUz2pEgsSkvnn1GsZzxa7/267S7PT794ktenJzz8MlTZsuc86sRNw5vcuvWbU6en3Lr1i2CIOD8/JxvfOMbXFxc8OzZM3TTScnzS5yVHD97wuWV74brQBLHAZEWmDLn6uKUqBvzxo1d3rl3wAdv7yNdTahTIpkRBoZ/8of/hH4/4eGXn/Nnf/Kn/N5v/mNu37jJ+ekp0V5It9VBCUlSB1ApsuUMhODgYJf93bfpRAIlKvrdiCQJMHVFVdvG7NGwXC558uQJeZ7z4Ycfcnh4yGy2YGPjsybWNcc6y/3799ne3kAqtzZoXLF3jo9PGQ29OZ/WisUi96ZQOsKamuHVEYtZCMWEO3s94tt7mLQinc8RVcVWb5P+7jYiitbmjJ4yWK2TAWazGUmS/LLp81fbf+KtlN5Ir5I1lTPIQPv3alnyzoffYmtzCyUVWV5gKksYJZjKcT0cscjSZrHn4/asy5mMLvnf/t//Czs3bnHr3n3a3QHW+rnn5PQcaRVbuwdsbm5T25VuHm8e62cihGzYg2tR/N+1vVrx/R3awF/YvgoA/OK+BCCsxEqvfe/0JWRLvvjyZ0wfTWnbBTiorcRYQW2hdJbKQF1U1FmOyQu0DkiB88mEwiiEVFR1zWeffo5EEurA66aXGaJxQHN4vwTjaqzw1HHnLBJJgLfcEbVnXsRxhyT0Hi1SKF+8S0vVRM+1dIBDep9FKxBOYWuLqWv/bqiaAs95v5zKlkgF29tbnhFpradgeBodSA0ywAq8VK+Jv4u1QiD8vqxfQ1nn6fQSgbWCOEqaTrMHHayDZVaRW0ngmoQD5yP7rGm8gqSjcmC8XR/SeXNf25jseZC9kYRIf7xVLSiN/3LS+VCt5jjq3DKZXTKdPKPX6zdGtI4o1L751DBfra2xrgbpjfwcAmv9uJFNI0MriZCefWGdB6KiQNFO4iYu2UMQ7U67adYIhPKF+HA68Wu+Zq2WBCETO6Xf7dGKYqbTKYt5SpblKK2IkwTnJM4JrICsKlgus2Yto9na2qKqDWWZv8JZWTFjHHVVk+UZUgh2drZYLOek+RInJEmnhbCCUIdoKUkXKVtvvMF8NiPe2GI4G7K36wvyNMsw1hs4n56eY+uSg93b9JIBBwcHnJ+c0et2OTo6Jmm1QQjeeutttA7Y7G7Q73TQQnqzRedTC2qpCaOI6+GQ3Z09rIV+v0cYxexs74GA4fU1H33zW2xsbnByfMTTp0/54Gtf45133+X8/AwdBHS7PR4/fcJkMmaZZxhr2NvbR0rBd77zba6GQxCWBw8f0u53uH3rFteXV2z0N5hPFvT6A/qdDpFWGANZbrDALJ0z2Dsgbrf4jd/+Hc6Pn9FLQm7t7ZCnSySO5TLl6Oicy+sp7374j4iikEWW0253SOItqtqD5FoL5osJ7XZEXWYN0cjx6NEDLs7O+N3f+z0PxJ+ecXZ+zvLJcyZ//mc8ffKCmzdv8en+LsPRhBs3brC7u8uPfvAzqo9qirLg6PiIKGlxeXWB1iFFXjG8HpJmObPFknYnIc0LH5tYlqRZxqPHD3n/vXfZv3GDt9++hxCO6XRCVRWcnp3zP//P/3c2uh0++9kn/Omf/hnvf+2bvPfufV6cXpAXFZ3+gG6nQ12WXF9dYp0hCASHN+6wMfgaYeCZYu0kJM1SpIQwiqjqknS+8K75z54jpeDd+2+xv3/A0fUFRgqsEgwnY4SU3Lv/JoNe3wNbK48MIVnMZhwfnzAaTTwgJAXO2BVWC8ZwdTGmqh35Mmej0+PG7g6mqjGuZj4Z0W13uHXzBp1WZx2pJxwsZnMm4wlZmvl9/RJJ+y8t9KPtm4QNBX6V/x02hUjYaiFbLaZWMstKTKUQ0YDe3haDbYMpCkyWe9oQ0BWWyjqWWc5kdM5kOubZi2cEUUJpYTpbYGpLt92h0+4Qx7HPSVW+YHx1y6hBvOy4C+E1Ms76QjVuHNJXucer7bXCs9GxV6V9yZrD3ydfCL2yf1MhywIdxVihqIuMwGTcGoTc3wpQKkMWU0KZY739DAVQC4cVkOYZeZZiTYVGI5aK+WhMZRylhbSomA6HTGZLwrhFVZRkZeZj5BrEerWtHUCtxUmFsa/fwqq0pLV3MJVKIYXA6AoVBIQrV1lnKUuHVA4prHdXrwEbYZ30zupGNGi57wY7p3AygBVt75VthQauHUqdIS+L1673q8fuO8gWKWKMhaKynoKC7wrgBLZe7a9GKLv+DOl8dq5zAovEGkedFgRaNQyRl5tzjtpKr7cQ3lWh2++uu9RpvjIwDCgLz1DQWlMVhrI0HpxYljgrqI1raHir3G2HkAHWhRjjO9Y4n7/6+hOmuEwN5WTiaW+thCJ1hHXVxHalTYSlotNu0+uFXqclJJPRlJQ5dTTgwdE1SaCoi5SqKul0ujjn6fjttmI0mmOto9vpsNHxYJWpK7Isp64LjKtwrqLVioniAGwANsFUnqZvdMhyuSDLKpQyaO3P05mSqnKMhlO63U0W8wWB7uKsotftolWPVi+h3d/ijVvvorSnvftieEGn42P7+p09NloDijxnPp+TJMl6HMxmM5RSTCaTNWNlJVspioKtrS1u3bpFVVXs7OyQ5zmHh4fEcUye5/R6PdrtNsYYzs7O1saVi8WCsiwJw5DDw0N2d3cBDwpGUcTOzg537txZg2iebeEZGrOZN4iLogitNa04JMD4/GdrCbSgrgqGVxdrVsBGv8tk/IKjo2dUVcWHH36NKDnyxeZyQRDEHB5uUmYzitkLprPMmyrpkEePnzFIJNtRl/nVFV1V8K1vfIjudHn6/IjHjx9xen7NLM04Ob9E6pg3779Nmqa89957bG1t8Vd/9Vf0ej0ePXrEW2+9xW//9m+TZRmffvop5ycjlsucxWyE0oCpiVox25t99vfvc//uTdARdbTHrZ0Be72AbPaCWEHt2vz8k79imV2zsd3mcLBD1wo++cvvs9Xqcri7y8HulqfJS+8Mu0xzOnrAct6lKpcIYZlMhhSB5WBvg16/i5CQ5Rlh1GIymXB8fEyn0+HevXvs7++zsbHB+fk5x8fHnJ6eNakZmsFg4KNkRE0QSMrSG/9cX19zenrKxcUV6TKnqn1CxGKxoCgKojDGWcdkfM5kNGL313+d7Y0e89mYajajF7fY2NqhkyTodkJq6zULqao8WHV2doYQYm3Q96vtH26rWv75Nc6StBLiTova1N7RPI4ZlwLqygPW1tLpb6JRdHsbWOMorCEzhrq23nDMgEBhqpJHXz5ABgG1E1gUi2XqWUlJm3ar7RlgWiOVB41XKyshBBZHbWqM8VFmSimSlgcl1nO1c3jX/JdUc/cKZV9I+Qp9//X1jlbedV0p75ejlPKu7VohtUIqmM/OORg4vn4Yk+fniHqGM4bKSCojqMyq0BfYsoI0x+UFhZRM64rheEJppKfMO5hPn4OV3lfGKsrSYkuHtQInBEbUGFVhlSFIgrWUzzqLlpIiz3EGlAjR0keROuMwWNrdFipUlJVBGEdtHYs0x1YO4RRYsHVNmWdgLXEc4oQv0GtbgzVcD68Jg5BQyca0ykfgOiEoqhIrJWnapOYIidKCMAiRjQyrrg21Kb1WXYVEUYwxBVVZel1t7Snjca+PkJo6y6lXz7sDhKQoAQGF8S7vDlBCo5TzLvqNNFIIhRUW28Q5OieZTQq8l7+XsJq6AOObGrUxOKFZpgVSBtS2oEqXzVpKI0WIELWXKTjlqQB4+asUyptUCI3Fa8gbZwjf2VeKeZpRVSVbGwM/P5YhdVVTViVZkYGATq/T+OPERFGI0RUXZ2e8/eZ9MJZnz54ThmHjTwHtbgfjHOPZlK3dHaazOUVZ0u10abe7LJYLZrMp06kvInUgCbWkqnKkEESNf01d18xnMzZ2tinLCgPkZYVCIJ2g3+5iasPl5YWPIXQ+s15rX4zHSUJlahyws7NNGERIB1sbG1RVya1bt4jDhFa76xt9dUXVJDUlrcS7ujeAXKQD8jQjTT2tPg4jnIDDw0OyPOO73/kuUvnn/f3336fd9gzSdqfDu++9h5SS05MTJrMp3W53LUvc2t5GTifce/NN+v0+dVUSJzF3el0Elr0bB2jtIxe73Q5aBGxt7oIRBEjS5ZxWq0OZZwgc7V4EoWZZZrw4PSdA0m7F9DoJw6szpuMR58fn/Nqv/yY//eSLZuybho3gmTJ5WZKXBSenp9y8uc9sOsXZgm5rg+l0SByHfO/j75EuFwwnE45Pjjk5OuF6PCOrvW9Tr9thuVjwwfvvc3jjgL/5q79ie2fAlw8ecPPWTb773e8glEJrydOnRzi8/5XUiixf+vXI3r5vhkgPZjlj6Pe79DYGnJ6d0EoSrq6u+Nu//j4bWxtYAUmS8NE3v8Ff/Pl/5NaNPQ52t+h2e9TWYYVnuwgcm32fSpEXKdPRiNnkil4v4cb+Dt1ux7Nei4K8KBHGcXl2Rp7lvPXW22xv77C5scFsPuf46Igqz4mVZwVv7W5zuH8D6kautEix1jAejXn29BlnZ2fUtaXT66JyzdnFCVmesbGzTRSECGt58uAhv/bx9zjY3aPIc/I8QzjDrcObRFFIqBV1lWOcwFnDYr5gdH3FbDZhPpsyG40oo+jvnTt/aaHvot7aXbsoCvIipzQNBdiUqNTnTtcyRFiFspbMGZS1aKuIky6tKCKJIpJqig5CLq6uCKIWRmpqp3BCeQr6Zq+JFYGynJOmCx9phsba11HwShhfdDWFJc5HsZVliRSCdt3GAYv5/BdPauXa3RT6ZS54tW5dT7WrQl9JAgwxJT4BVaKEQ9UpO9EGYbiDokSIHOoMC1RCUkhBDlTWUluPfGthCZzx1CRX++xUpSmLEmkrNAZsRV2k5Hn2Wn9gpSVfFcvOuSZa5/XiVliP+koE0vk/89IgrCGwHnRZ/b62DiEF1jhMBboSSCVwVlBVAmPF2kxo9X1E7WmKr2wriuzqGJ0zFFW6pu6vvABWny2lbF7qS6q6cUZtnOPDIEQqj3hVdeU73onwsgnnUM4X3av9gHdaruoCqHl9E5RlgVYapQ11WWCLHHBNF4YGfXtF6VfUDVjhcK5iOls2IFdAEFqCykch+ZgVSxAItH65D/06qYDtw22+/d1vEwQBP/rRj7m4OIfFAq0DirIgzzJfXAYB7Rw6hSCKyvW11KXidnuL/v4bPH/8AFF5h+nRoqbT7bAVx3S3DlHJhqcXO8fV9ZDtrU1OT49JWiHHxydUtTcw2dvbYTId8fzJBWGwiVaaTrfDG3e6TCcFSmrKwrBcTtgYbBCHijjpMBnlXF2crLX148mUzY1NLs+nlGdXHNzZZzyecH19utYzb21u8b2Pf5s8z/mzP/szjh79jKgpssMwZDQa0e1210yDJEnWmvJVcXX79u11t//58+dkWcZ4PF7TtD0rp8Q5x2Kx4OzsbO28v9Jrr8b7Sm+fpukaOFoZ9q0kJXEcr0378jwnyzKur68JlSCkauQPsZdfaEG6nIGD/b0dijzl6dOnBIHk3r17tDqbTOclvV6PKAwJ4jZlZbm6uqKraxbzOVfDGf2tEKUkQdAm1JKOE/R3BlxUOQ8/P+HF8QmXl1c8fvIEGcREUcx3v/eP+Bf/4v+E1iEazU9+8hMePHjAwcEB29vb/OEf/iG3bt3ipz/9KVVVUZYFoZYs0zmtVky7naAlWFMTBorNjQEyjBjVcHbxjPl5SlBO6UaKRVHz/OnnVNWS86sjxGjByZdPGJ1eMD674DSJWBYpj54+wkqIWiHzZcbHH/8X1KYiy1OyNGejF3Hv9h1uHmyjpAFXIyScn59zcXEBeL+FO3furGnyL1684OjFEWma0uv32N/fo9frYa1BKn8vZ/Mxw+E1T548IQxDPvroI8ajKZ988jlXwxHz2QwhgjV43O3EPH18xfD6nKpIoRXTabXY2dhk0GojrKVyrH1eyrJkPp/z+eef8+DBAw4PD7m6uvoFAPpX23/eLdi6CYBylsJWZJVDqQAhHbNlgWsM2GRVI5wjEJJEBbTihDiOiYUkEm5dnMjaUhWGpbUN01wgmy5elCjitkYJBzJDKIUVAmOgqh1Ky3XKx+XFOa12iziJPGPAWs4vTkBIWi0P2tpmLK1YXytPkNXmU1JWMXsv1zvOQVkUeI8A/3uq6eJqrdAqQEqoyws2oxZK7GHqEWU1bwp9QV1DZRyVdRjjzzGJBGGsQCtUZcicpDJeY79YZAg7x1kF1uGMbDrVeHAdhRQWKR1GWKosJU+XrFyNpJJQOaQVLIvSO+BbR6/TxQrHdJxiG8sBb64oKYrKAxpNoS+FoNeKEAjfBZYW6pK6zBDKNzNyKb3noIMmnA6kIq8MTvq1paAxJpZQNuCKsCtjXf+V2RKsodVN0KFnF9QWamOZXI8wQKwiEu1dpURz3HK1D6GAhiXQyFB9QtNLPwXrvIaahiVaNEsVW9U+bUc6X6QLhdO+I1ji0EqD9aZ6pbHURQlYhKxQ2q3N9wTKsyoamYFUNUIaVmbTollNbkV9fucPfp8oivjbv/4rFuMJyzRdx8dZ/Fw5b+RL/UGfbrvNvPFPmExn3L51h8H1kGfPX6CkojaG2ZOnbO5s0+q0aXe6dAYbPD85wYUBk+UCqxXzMmc8nzOdjanrklYc8PWvf42T42OOnh8RaI1w0G616G1ucnV1TSlBByGz6zF7WzvUpaHX6VGUFScnz7n35j2myzmXizG7+/uMRmPGkwk7uzvM5zPGwwlhEKIExFHI7/zmb+MsfPYf/oQ8L3BAEEVEOiRGsT3YBKDTbhMl3o2+thYrIWwl1Nb69UsUeo+JxYyL62tMXTVNLEkUBGgpGY0n3gNrMSdq1jAN1EMl/PwynM+o6gqVLVBKg7De7NwZvyZQGi0jeu0+UnvDyIvLS/pdR1lpEILcukamGZMVjemjExy9eMbl5SmT0Yjbd95ASkWvv7Fec9V1TVV7v4nFcsl8NkEp1XjRzLixt82qsddqJ6TLBednlzx59oyff/oZw/NLwqRN2Iq4f+8e//1//99SljVx3OZHP/ohl5eXDAZ9dnZ2+J/+p/8rQsCDh182ckJNmmbeb6qs6A020EEIUqGCCKkDAiyxFhhTMby6YjadEkQho/GYZ8dHXFxfc3p2Rj6bcvToEUcvnnJ9eUa322KR5jw7OiYtCpJWmygMefPefZyzTKcTWq2IQb9Pv9+m2+s1Ml4/lifjMcOrIaFU3L9/n62NTayzTOdzTk5PePbsGRiLFpI7t26xtbm1Xksqpbi8usLUNZfNmuaDDz7AWfj+j37IdDFnNBqR1zW7ah8JxCqgKnJsXRFoiZKCfreLVo4kjlFaNOATOGtYzudMxxOOjo74wQ9+wNc//JBFuuTs/Izf/Hvmzl/e0e9v0m50JulyCekSrTTdZhFe17V3HXXSdyGdoy5ykjghDrRHWrXGKUlQecfqOkpwQWO2Yq3XrSDQzURXFhkEEEYhnW57rd9sd9rNgrVke3uLvMhXUyFpmjWTZtOdtFXTXXLrImJl1LQy2tKNRrsui3VBvfL8846wHm3XMiCIY2oU6XJOrCTtwNIKKzbaNaFcUGXXaJtitaY2ltpW4CShVghbIzEI1bATXEgRKWTLI/VOKiIUYWtO2GjjHfVaYrBaFPhJ362/6rrGNM6rUryk6YOPhZNSNuYrq2IbaOitronuEM4bDUolkc5hyxpjfH5ober1ZxljkFYCjclPU+ivXEPz7KUeXyrp9UMiasyK/ESnnGcYODy4YJyiLmvKsqauahC+C10Z6we1aIIXVZMjL33BJqzweaYGlGo0jw6siEH8YjRjrcLGZ0FhdEgd+668qRuQSEKgvf4NPGgQhjFJ0mEx954BK38ErVcRab6jX5WCJG6tMztXbvGrghLg/be/y5vf+HUmkyny8RXluPbxYXWFkQnR5h5xElPhSIHMCEj9eN3Y2ODOzXdoHb7Dm/1DirDL+YsnLGczpBTcuf8+H3/8Pe7dvct8seDi/BznHIM4Io5ieg+/pNWKkQ+/4OHDBxx+4yPe+vrXePrsCQ+vf8CikNw8vMlbH7zPzZu36FxeUhQFyzRlNwh4/4MPqLOCi/NzEpcwdefc/OAjnjx+Qnt/h5v373GRSRazIW9/8zcZDocsf/Yzbr/9NkmrRavV4uDNrxOGIe3de3zxyU98pxyHkoqdTe9kfrB/QF7kfP7Z59RGsr+1h5KSx59/zvDBCR9961vofp9MdBmNRlxcLFjaig+/fh8ZBJw/f8b11VXjVuuf8wMX8/4778ByweR6yHA0xFlHFEfcuHFImaaMRiNv/JYt0EFIksSoMsdOs7VkSUhBmhq/UKxSprMFtZ2Cc96wpUwZJJqD+7e5OHkBteWdd97DBS2enlxTuZiwtUFpwGQpWEsoHBfnc06OLxmnGZu7e/R7EZVZkuWOlpakWcWLsyFPTy8ZLzNqHTG4cYhQio3+Fh999E0SpTk7OePRk1M+/fQTrDUYW/D+B29xeLjLD3/4Az7/7Eu0johaLZbLJZWDF+fnhGFAb9AlrRWjuUGHGmEEiyJnf3OHw80OqloSKUcnL+g+uWSzlxFUBZ1ewGQ55vYbN/jwm1+jt9FjPJ9wdPqcyWKGVM4/83GMzJcoaYmU4HBng14Sky0zUJ5eenV5yXQ88vGChzfpdLqYGi4vRt4TopQ8+PIZ02rGZmeLe+/fp7PRoyxz6jxnPLzm7OzEd2tuv8GtO3ewVpEXp8yXlum8YpHWbG13CVsBIqiJA/jgnTfZ390iCCVOGLr9DUQgyU2FEpDmBYsyXQM9L1684MWLp1xfX3Dnzk1arYhur/fLps9fbf+Jt3hjByEEnU4Li2O+nDNfzuh22yzmE5SkmccqTFn4zi2SYHNA1GpTNzJCD/JZrHHkIvOdQ+dB+ShJcKpE2BqtfdKLkIK6LhvGmSc8Kx2gtKXMMg5vbjdgtyGOPRNJik7jG1N5XxdnyfLlWsbmmWueTSdW1SONkR1ibeAnhCCOQ9/lNnbdnRLCeeOmukJj2ekH3NmJ2GopEtVH1yHCOoxzVLWn09vad+RNZajzjKrMqE1F7UpCbb1Jm3D0um3u3blNlpakC9/RrEuHs6v0AYkREqMklZNQVwjj53WkJJC+a6eg8S2wKKGQ0jdi7MrckJXNoSWKFVIKtMD7NDkPpgsEYSsE6QisJDYhTni9LXix/YoAAQAASURBVM5rb51pshKcoDIW4SxlVRHHCVEUeraE8JTZuvKSSiUDlIqwTvhmjBNMF6UvxJzBWIdtkm6QitLVzI1BCnwEVlPEOyExpvZdeOfp6EI0P9fI55TSPunQ+AbVymhNSTxQoyR1VXqvgsaFncYfSQrppRBWU9XGm+kK5Rs87lUTZF/fCevnKuFWfhCJBwPwP3P3xte58eb3fKOke87syiG0YpkuSTotnPAVhcUzFMa5QBWWKAjY6B3SuvcNOHiTd/bfpfr5z/nywUMm0ym9g5vsvH2f3/2932FzZ5v5fMnt6zGmNvTbEVKEPPjyMd/57S3+9gd/y6eff8pvf/e32H3zLebJI06rz1lkGRuDAW9/61t0Ol06b9Ys0iVZVvDedzZ49+13mI7HLOcLRg8eErgt9j/8Lvb8lKws2L93m0n9EFde88Z73yUIND/+0Y+5d/cNpPSsgTsffhtXW/7Lg6/xxedfMJ/PEI3XEM6x+8Zd+r0eZVFycnqCMZY33nyDqqr567/5W6bTKR9/73vsbxxwfXbG0WTJz7+4ItKaP/j9f0JWZDx89JDheOT9mqRgOp3y5lv3eW/3beq84OrqiknjFQSWg5uHjBcz8sIDD+nSe4xpLYlDjXMG4aZgJQpJVvYYT2pm0xHWWk7OTgjiiHavTRTAdkvw5sEm50fH5OmED7/2Dlq0OXoxbJiUjY+ZrcnzJePxmOOTI6qqZDy8YmfnPriKy8tzuu07aAFlWvD86IyjkxNyZxDdFiZv0e9uUGQpv/7rv8ZsMuXp0+c8e3HEcDSiKHLarTb33/IF9tNnz/n008/o9fpIqUizjCCMyfKcja1tVBBhrO+qq8rPw0ESEGjN1qBL0m6D1Gzu7fLi5AQdBfT6HbQULPIFb9y/w9vv3Wf/4ICirJinU6YvxpSznCTpeLmXlHT6A0xV4hDs7OzSbsXEkabIc6bjCVeXV2iluHPnztrgeZmlTCYTjLFcXl4xny8ZbAx49533fH08m2OqmlbsZbLLxZI33niDTsczY549e05tPFtluVzQ7vXRvtOCwjFodwikxDkDWDY2+mjp0NIDisJYiqIkXXjPgPlkyrNnz8hzvz4Z9Hq8cffu3zt3/tJCf1oUZJPJ2vG9rmvabU2v3ycdjymN8Q6pxhBGnoZrjOB8/jKeatW9XTvn9zapm5deXdckoW6ctG1TkEZ4fBTGqY+1MNYQKUlZg9HKRzjUhl6vR6fTYbFYAL6z7PWoOdY6giBcF6pVVTXHsmLICaz0DrlaK5+r/oqTfNkYuCglKRFMSy8FSxKJEDnapShiitySLqeEwiIiTdF0qL15macJ10XeGNJZnG6zZINMWLTUviiOWrikg62MN5JJWtg6+wVvHyUUaO21ac5h3YqeXvn8TGt85zkIfHLPumEg1iDGavOOodK7iUqFQGLs6vr4NABv8mOpMT4ZxhqK2hv3rQz0giDEiqZrj0I5iRWSImi/PtC0WjvZr88nVMjIoox3iQ3WkomXuv5Vx9VbIjeeDM6hv3JCTvWw8nXNrBAvSZAGQELZfil9WDm426905nQyQPW2sOMx4cpR3xgqIVhZEAokSnZYNkaJqyi4qmEarL4ejy1P/19/SlkUJK0edbLH1tY2s9mUdDqjQjJdWsKNLv7l68ckShBGW4xFl799dE6W5SxMixeZYp5rBBBPHfLpFd9/csmTJ085PT2l1+ty8+ZNZrM5w+F1E1dnkbLH6Y+P+bc/O6M2hqpMMKZmOMq5fnqOeHrJaDxieD0kyzJ2dnb40XXKdtzmk599wmw2Y3d3h7MffNEgsoLZyZTHC8fFVcb8P/yAwWDAeREye3RBVXlpwr/+8x+vu1dKqUYHphmNfHRn78WcbvdsHbm3Pdikir3Z5ExuIzYHVK2bnGchy2CPsyzj+USSxjF6LnBUzFyXK5eznC5JkpZf/ASb3O0fcnirx/zhI64vfVSa0g69EzGcLrgceV343AikdgSl8Q6zSlEUtZd+GoMxGiPAxjuog1sYlGcRFEuSJCWODRNbsTQp7968zVZni8+enfPg0TmDvdskg33CKKCYj5lfn1PnJekiIF06hIPPP/0Ry3TEP/3d36DV3+bhF59zdfSCXPbZ2nuDljDMnz1hb2+Pb33r29TLlP39fWRVs9Xq8u8fnRBHbW7dOkSqir39PscnT5jNxnQ6Ax49PGKSTnh29MzT9aSm1RlQyRhBwsVCEIbK6wh7PYazgvOrK1xd0kkiuklE3L3Fu2/1ycdTfng+5IePfKznw/Mj7kR3COOEg5t3CIZDTy+OEi6nc2yRUaZzrFnSlru4Ime+dHQ297iaFDw/Pudwb8Abb9xDCk2eV5RFjhAxZV5xfbkgTS1zkbJzd5eDNw8ZZVNcVZNO51xfjkiiLndu7hC0AqJ2j+vLOeeXKReXOca1KW2GDAOMKnHSEmowgaAslrTbMe1um7AVeq+A2lNJyzpnPLnm6OiIq6sriqKgrDJqU9DpJuwfeDf+X23/cNu0mefH8ylgccIilSBKQso6pMhzqrJEC0HQSijyktRZJqNrzPCaQIYkUeI759ZQ4vz7PJRIA8pJUBIdaaSVjYWeF1P6hkSjT28YQj4hokKUjQ48SWglbayBXJWEQUhZ1SzmC7I8J9SxLwClL7wsBiHcmrHvwXjXyAdDtArXJqlC4OnhDoSwTZSrAGMQVASloZ4VnNkhdjkBU3utsQNjHKbytHDpvAdPaSryuqR2FTXVmuJfO6gKQ25j5nmFUC0WeUaeF43Dvy/2jfSxdkaCJUKsUkqUpBa+vpdYhPTFeoWPnAWFU757JsRKm28QGJwtcXXlPZ3cChBo9Oc4KmepnI+rEs77LQjnvQDUas5VCqMSgkhglaTwhgLNCBIIHYKS1Chqp7BC40Kx1iL7QtcihUVon1cvVICRCit9cS+xTRPDf7YwBmFt4+HQfAkDwuKEwgrlb6D1TBO/HvMyAyclVtQI0bAFpPOGz9KbNloEkdzi/r27HB+fkmVNHLRLgBDRZGsjKhALEBax8mdyIdg2QmjPThWSBfv8P//9JywWSzZ27lL0BXGvw+jslKquaXfbHrBpLq4f6wbpYGq63N94kz/6/JKqLKnrHsPkJpfzkKltYWch079+TFl+zmw04/TFCVIq3nnzTS4vr7m8HEKgKISj1rf5o5+P+V/+6k+8f45OaCdbDNOYL/7Mz3VFmnH87DnLdMHhrZvcf+yftxcvXnB+dsbmxibDn56TLQukdZynC8bThOm4w/gvX3B4eMDxpEX6ouTk6AgtBX/y18+RQqKDAOFgPJkQRjHj2ZTc1vzgKKPb7Tb3WbC1tcX1iwwtNWV8B+lycn3I8SQgF/tcLidk6gZWar48cyyWNUu5z3FlvGeBEJRBzF7vHuHND+iGguXza37y53+BKSu0lGy+cYtUjjkan2CdRbjAy2Zzv84UrmmYOf/f1vVxrgAVIkPJnfe+Rp4XLLMFwlTUxlEWBd12zK3D2yStkMWs4vHjx9y4/Rattjecs1IyX8yYL2bEccTV1QXWGY5evOBv/vov+R/+u39JEsVkizmPvnjMfDrjg/c/YG5rzuqc/Rub/N5bX6depNw8PCQINDcO9/k//vqvAMmbb97j+nrIt7/9EZPJiCLP6Xb7HB+fcHl1zbPnL3jz/ttIKSmKkm7SxljIixIpGiswKSlnS+ZFhQwmFMYQJS1SW7FzY5+j01Om4yFPnz+nrmtGaUp+cU4Ux/R2d3gjaVFW/vkaNxHW12cXHOxt0xvcIMtz8mzB7tYmRVbw809+zrvvvsu9u28gEKTzxTrC2VrHaDTm/PyS4fWIb370Lba3t7m+vKLIMubTGYvZnIODA9qdNp1ulyj0nk8npyecnJ2sTcy3tjbRSlHVhgDBTn+ArSqiMGKj3/OgNc7HNwJpmjO6HjEeDjk7OWU5X7BIffz15tYmd++9yf7e3t87d/7SQl9rvV6wrxbr4/F47QS/yniPomhNl105UK6QxhVA8FWa44rGttZPRtFaa/vqVlXVa7FLK1rvSt9bFMVrFLhVR3WFmqep19qtNL+rSXpViOsgQgq/r1czulfgQFEU1EJgA0m/06Xd0shaUJSWF5Oa0XyCzTKSUCJZ+kxMJHnmmvPyCFXRmHhZBfPms1Z+B2macj2ckaVZAzRYKt0F+SoP3K2LyNW5Oesa0zhB0Djd1lVFZi1h4J3dgyDwHYyvoAZSrShfwr/YnURa/QtF9oo9QONd0JKC2npkWjVxc3Vtmmsu126qiXpdL7ICXL46vlbfF8LTeb4aawbg6trLO16hP9qvnI9wIda9zpv3x/LqDwmcwpviODxFrtHWv7pZEzKb5BSZv+4efAheglWrc5LVeqyt2CZfBTOurq8Rpmro5deEYcjV9ZDa1N4xHx/LNxlP16wB8GZH19cjxqO/XcsUhKmghlbiDeyePDnjs8+eEsdxwzRQFLnk00+frseMMVEDqvlUAil9wR0GbaSE8/Mpz55drOPpPC2xxfn5lOPjH9AKIqqqot1uczUvya9mzTEb+PwJAHHS4fHJNebFBWEYUpyPEUI0+nb/bK7YDsY4pDSUMqG2kmyacz7xjJwoilgUE758crq+1tZaPnn4AikkScvr+l3Uo6xzfv7pE7Is8wh8KRC0ULJNUZY8+OIFTx8eQ75cx+spqbC2ZP7TL7z+NoqpaktNhDSKOoMsr1YDFodYGwzV1lLWllY3QOoIjEDYmlak2expFqOUm3u32W21OT0949NPP+PsasHOrTe9DlJLrLVUtafR7+zu4kJBalNEDNfDY27fvs14POH58+fs9nq89/ZHpELx6ZOHRFHE1z/+Dm+88Qb9uMXd/RvIvObh548ZDkcEoSVKHHfeeINvfPObKBWymFcs59fUVUWrlbC7s+Pf1XkBQoLS1E6wzEvmWYnUAS4eMF+UZIsMTAnDKRpHIGN0J2CcFcwyQ3vnNsYaTkYZqpPS7XWpwz6qIymqirp0iOE1bW3pdbvc3NwjSRKOXrygu7GNm8+ZLXLefecddjbbtFod6srhbE1V+vijF0dH/Pmf/0c+++wzqnbNO+++QxiGnJ2dUWU5pqjY6Pe4ffMWoQ5YlIvGZyLjyy8fMB6PiWMP/kVxtJZ3ICS7u7u8ee8eg8GAdtLCWEuo1DoW6fzyjNPz47VR4zvvvLPW69+8eZP9/f31XPer7R9mS1oxAFnm5/SqLpAKrq5KpHAICYONPnEYYYwlLPy8NZvOsbWPzK1M4zlknS9SV6yzQBHrkPFsitJNTK+QaOkZh51OC+csy2XqZWWVb1R0u91XolgDsrREqYAkaWONY7lYAqqJVwNjqmYN4ucwu9INNvjuKnNZ4KCZ56wFicJaf6zOeTd6z8ZzKCGYLyxHpyWLDtRZE6fWMPyc8fp6aqCyGOcoXE3hHLVolOPWURtv2leVgslUs5iH7GxvkYaKkpWJmi+8jfDFft1Q1B3eD0hIr03X/qcQvq3TiB69Xh2pcUI3wIFY/5xcEd+FbMosT3d3yGbOClFhAEohnO/iS+t8ad2sW6xzFKaidhbUS6ajWwMDK8q+ZB1fKDywgPPpADiDlauMco2QAbWU2MYPiqbQl00BZo0HXnwigt+nEzUGi6ktde3z7UMlCZRfk0jhY9G8csHi8BnutS3WOeurOMVZUfHkbMR8WROGbU//txHQrEmaZoQTEVI1ng8IIPAGgUJ6zwAkD09OUU0Sy+liTg3ki5z+1h7nl+cYGTbhDr4j1rhZUBYFRTXnX//bP/LpMwhvlOy8AfSiMHz59JgvHr/w38MbVkrh+NGDJ2RZSr+/QWUMNZairhktCtK89vtRmnJZ8vz4ksFgwMnlF54eLQVGRTw7vuDJ0SlhEPj0gFaP0im+fHpEXdZIIXh6doVzBicc12nO84ZS/+T8HC0Bawl0TlVUBKF/ZsfTKTs7u9RCUwGnV2Ps5QhnLa0o5uj8Gmv8tUiiGGsMj//9n6zXZEoLnI6YG8MPPvsCJD4RRAb+OQUqNN//ySf84MefsB7Zzdrb1jXTv/k+vX6XxdJHr1lnwTXsHSfXRf5qvEkhEMp6vbuTTC7HRGHoGa3G+DEznXF7YxMZZgxHlzx/NmE6n3MvbpEkLSpXs1guEMLR6bRotRLKMuf89Iher83v/e5vsbu7w/X1FY8ffEk7Svj4936f0XTG5dUZ+zdvcuv9+/z6G++SDsfcvXePqqzJsrzppDqGwyF3791lf3+/aSAKzi+vfaJVkrC9vU0rabHIClQQYoWkNo6i8JGEvs5JkO02D0+PyctspdNBJ2063T7D62vGy5JgY4+WDng2zmiVkv39AdfFkuGixNQGpSx93bA979zhcHcLKRVnZxdEgSQUkqdPn/Lxx9+j2203pno0NZD39JjNZvy7f/e/8/zFc6w1fO2DD6jKkuF0ijWWVpKwf7DP1tYm7XaH6Xi6rp8ur6/WUlXR3H+lfByicJZAKW4c7LG50UdJH69uTEWeLXGmZjiccHp8SpWX9Pp93rh9h9rUlEXBN7/5Ebv7u2v/sL9r+6WFPrws0FbUd631GuEwzaIoy7zWYuVOvKLHrwrqVTzZVzcpm8VvVeGcIwzDXyiUVoX8qmB9tdu+XC7XbINX89xX1HwpJXVdr9kFWZati82VKU6ep2vt26sU+XVUHGCrEoFEEjFf5FR5jjQwWlYoDJiAQAni2pCEmiRpoVSPSlaMzkcYqxHCLwikikiFpFQhLoz9NRAd2rpP1BzrhhBkxpvBvHInXmr0VhR55zPKV9ur0oS1E7BrzPJeqWYFYg2YrL6sdVSFN2xRDTK+AmdUc8201pRYbF1h69rT0ZSiyL2MYk1JFJLyK0NLSoGMXh8DJY3hnvBjq14dt10ZALrmc5Pm/rykqb1ewXu9pTSvV+xfBRacE9gyXN9r2QAZX/05RExZGrTqNKwOn/zgXtu9jzSq65cd/TWo8gogYcoKxYpBYAljRW0tQeALj7wosA6iKGnGmx+/UcNuWCwWCCG88U2liHWbIq8pC0cQaJK425jiOPIi5+oqp9VurZ+9ojCY2uvctNbgFNZAVdIsnjaRom6APJpYSm80qHWHMtC4AIogxOkA1+ogpCAOAhaLBdZa0qLAOg0EiFIQRn2SpIUIAt+xsIaqqpFRiJQ+w16Gkrws10ybqBWSIZhmGa7yAFC32/FgUFlihWQJuNphrSII2/59oTKCIKIoFgSBJs8tde2fAysUuttGao2VS4qyQseaaS0wVlLakLKGSCik88CZdS8jOFcg2Gq82BomI68rj8KQbhCQzy7YvXOLO/t9thNBennCz372M87PrhBhnyj0AGa6mDEeDpHO0e/1SdPGhLCjuXf3Lrt7PebzOdOTI27evMm9Gwecjqf85MtHLKl5//33+dZHH7G1vUU5W3JycoIufTpAp9thsRhSmYzj4yP+13/9v9Judzk9HjIdlxRFzfbWBp1ewnyRU1TG5+5KTY3C1IKirimXhovignYSE0YDbJVTmRTpajbaHcoi5fx6jm4NuPHeXZ/xai1PrlO49mh5VQHOmykebm4SUhCbBVEYMh6PKcvKxwbFMQfdDfZ32kibNWkLhvl8ydHRKT//5DPOzq54/vw5Auj1euzu7DKeTLi4uCAOQu4cHHK4u99oDf0cMplMSNOaMIrIcw+cRlFEv9fHuCWL4YKZsXzw/vt897vfpdvtUmY5tqgwUjGdTDl5ccT16JLBZo93332XwWCwjm/c2Nhgd3d3DYL/avuH27Isa96jFbXx7ywfmVU3ACXMq5SlyADvvWOtaaR4vjAxpgIcQvmi0DZ+LWVeY0zaRPA2OeQ6QAd+zsrz0rOw0pRWK6HX72JtzfX1daOT9/OeFMrPM2Y1B/j1RGPk7UEE4Ys95zwdf7X5n2vkcnWBEAYhFEoobDOXrySFDqiVj9QtRUBhI6bDHK5SlHAEWhM00a9SaO9oXzmmw6mX0AUBJkhwyuDDAx21UFRIrFLYwQHJpmLhLN233vDdpaYbbRF+US48e884+dLjpvk/2eS2C+dz06EpsoXC4XO/aQoXhEVQI1be9c3axzashdXnGSFxjbbf1xIOYSxiJUWUXoleYzECkI0ZHiuhQPPnmu7oJQDSWYR1TVEFopEbWOkd5J0XX+Lsq40Rr5v1+nsvh3T43/dF98tjRTfnIQSVWxUQ/npIJZsuv48ttEIhtF2zEJxzBHFCVil0PPDdfuFABTi7SnzAm3QRIq0HNbzvUUkQaAKtkFY0KQCeRVEWFU5YnJa4yuFsRdLfxKzWmTRzofWFThB2kEjyUoD1CQZKeUNIIX0kL45GM+CoGpNFIQTSGmSQMM8qrPD3Jy0qKH38rze59teus7GFRaAjhTMGZyxCarRYeSN4iUdlBSZvfHbcCoBZjRdwtWfL+MhpjZMCFYBQmiRqI6TE4diKvaTHNg2qQAYgPEwihaRyopHsQFZbpFReM6octbVUtfXr5cC/AypTe48H5985Dh9ZKSTrIl+41drUoYKI0sBotmhYFBLjnJfIOIFYjblmvMmV3NYphIuw1qGSPrWzVGVBaATvvPc+uxuGiDkXw2uOTq94+PASFW7hlGaxXFI5bxantGAw6FOWJZeXsLEx4P1332N0dY50jqvzC24f3uTG9j6j4TU/++xTXkxH3PrO1/nggw/oyg4Hgy1Ozi8oy5LhcEgYhuAEV9cjyqLiX//rf8PG1ibj8YRHj5+S5Tn7+wdsbm2xTAuE1IRRjEFSGEVlFEZIbCW5PJ8jpMKpHqLdRYoK5SqkgMmy4sXVnJ292/TihMrAZS1xM8GzxTVKOJztADWxVHS2biBcTRJppvMF82FKJ9Z0egOSJOHDD79Gq9VCKennFOfIy4KjkxOePHnCxcUlX3z5ANFQ/pM45vLigulsRhgE3Dw89LWpc2RFjlCKRZoznU6ZzBfoMEIIRafTYmPQwwlHulwyXyz53se/xu/81m/RjiPKKscJx3IyJs+WLOZzJpMpwlq+/e2P2N3eYTqZcHF5xu7ONkGoKcviF1jbr27/Pwv9OI5Z5RvXde07dk0xr7U3wPP04Jc556sC+dXi/quF/oo6vYqzqqrqtUL81d/76uevii9rfednRfdeoSdV9bLTumIizGazded/5awtpcQFjTZOiHVxH4Zh4xxuGlMvR7uToJEMJ1PSLPNUKB0QRl20DqiqmmS5QC0sSlXEsSIM29hGs+eco9JeqzXK5lSVoiW0NxGswYkAQrz7ZxJ7U5rXKsuX52itR+XBQfSqs69Hjn2BvgIGaBzFXyn0hcCGEc754tMYP9HbULPS8Nvq5b1c3RMtNLoVY0JLVVZ48xeJVb5Qt1JCo9sP1euATV3XFOXrC2MpJVZajGwWViumgvO5tsb4czJKoaRaAwkrcOjVLaBGidcRLfEVB3yBwLmWR7hfKd6NeH3MhWHEssqI43jtAu8ZFK8syrA4ka7NwbIsYzQaedfWFXVOCEzl3dl1kBAlmrIxQBE6AgFBrOh0OpTWI4bpMidOEqIw9A7GOlqDa1UO3Z1NLDmRtERxRJqmZAuvPQqDHlILysprFJ0LiVs9oihsnq+c2nrDsziO17Fz3e4GZXM/hXBgapQOiOOIRWMetLSWeWbXSRjCCmpipJaklSOKEoqiIAxCnPIFtyh8OoZpIvPiGFqtFmnm6HZblFIjW4qiLEFFWGMpnGNnZ4O6rslNTaQj5tkM07BGtPZxhot5yt5uDysUWeFQwYCyGRNBpBFSkhYpeVYQBFDXiiBMCBIfBYl1LKoSFcaYRhmy1jo27wwphadGejMIAicJZBOlWBYURU5UCG5u3yA0OYurEQ9+/BN6vR4ff3yXHzx4QZqmlGVJu91GbW+zGF2s30NxHBO2Q0ajIWU1x+SOXrfLYb/Hcrng0eNjrHN89NFHbNzYYzqbcj28pq1CiumCnVaPoih4/uwZOrAMNmN+/ONP+Pf//s/5H/8v/w1R1EWqukl6SGl1E5z170sVRBihsTLEiIDaWYwQ2KDLtLK4vAJjiXSCwrKwAVkhmFeabrzJgrZHyqVaG5sKIVgWS7+QVW1Oz06JKOnKgq7sQ7ng3ht3fKSiVXQ3N1GyoshL8rxkPJry+NFzXrw4IQxibt26xY9++BMQsLmxgbGW+XzmUxgObrC3uQ21B6HLPCevcgSeSfKP//E/5rOfP+T27TdYLifM53PK2icpbG9vc/PwJjs7Ox44znJcUXFyccVyPkdJydtvv8XewS7tdtszrq6vCYKAu3fvEsc+XuqroPSvtv+8W9S4Cs9mpTewVQKtPb17ZbCKc01nQ3gGT0Of9SZoAuNWRbalYWsD4KQn63qDNW8Ga2rDZDH2IKkStNtd+v0BeZExnc4IQ+2BorL2hr6uqUZ+YfNzsQVMUb4EE5p3Dazc+F8x62t+U4iXfxFS4ExT5FtDWRuWpsKaEl83S6wL19dCuBohDGEESdRCG0EuuyAkTjbsNu2Q2Ia1pKiEwIqVkd1qHvPlvXPGF36vFN5CeWq7EGrd7cZaSuPjeaX02n0vf/Nxd7DqrDeFsbA4YRDC+hpcefM+QQOGNHwAK0TDHmhYDdYihHfhlwiU0r7gcb4PjfRdc88J8IaL3gPBNlT32h+jMyhjfdfUOqT1jUOfLuBwwjM/cOIlK6Ch3uO8BMPJVaHbyABWN7DxXHBCrIElf1+bNSe+W7saJz4i0PquuqM5R3++HsxoqPrOF6rWNjIO60BIdvZ32dryyTTD4ZjxaNowEeRaetB48L8yyBqgRvhOvn8u/DMkGvNKr/NX4EQj6xTN7ymso2GmuPWXw6zKWmrrQS5rayyu8ZZqCKuNTMAfvh8PpnmePXfb79eTGzxjxDTPpmvispWUr0Rwe38th29aVMaiJWjtjZypC+rKy0n8/C7RYehd3vFz4Gpb942EB4tWTJPV+0OshKFC+qaccRjn3zGWVTKU5+fQjCcnvAzFvXbtG3aIEP4dgN+/Vw2t/BU8cGStHwcS6w3QPdSEEL7xZK1FaIHQjtpUPHr0iNoqvv6Nb/Kzz4+RQUiQJPTbCQaDkILlcsFsPsU5y83DQy4vLzFlxsX5GXdu3yRSAbPZhKOTF2RFzj//539IeGOH8XBIUEyYXV7RancQUtLudHj6/Bk4we7uAX/25/8H18Mh/9W/+K/QgaZ2DqRCKu0lRHXma4YwonCaEkkpAr82Eco3iqTCNY05LTJilmgDZQVGxBS6TSUTDBLrPGAjhEQLi1AVUlSUznA9niBNyUwYNpKA/Y0uB9sbbG8OUFK8HL/Cg8nj0YgHXzzg+fMjlNJsbm6wkqHLpuNvrWFvZ5f9vT12d3cbiV/l2dXOUQOdwQb/5//6v+Ff/at/xf7ePmUZUVU1aZoxn005vHGDt9++y0a/g3AGU+XeHHE8osi84fTB/h5337hLURTMZzOm0ylSSG7duUUQBjS459+7/dJCf9WlXBXidV2Tpt5NfaVJXnUvX6Vcv1pgr4qeVyPiXu2crz6jqlaUNrcurFZ/X3Xtff55yLxx01/t86tU73UUYJPB/VJv//J4V53+KGr7yWTlZN/sc0XdL8uSqiywVeU71ZUFGRO0uwgdY2QAYYRuB8RJSpUuycoS40KMTLDOUAtPxVJOYampdI2Ou1itya3FheFrBbVzARUB+SsSiSAIyBbZa1341T3SOiRMQsKmo7zKfXfOm2LJIFl3rldAQV4KvHZLIsMm0s4ocPi82rLCWX/tVaDQgUZqTakExllM2ETqAU6z/izdxKu5xkjH/0/glMJp6Qs2KYjCiDiJ12wMay1WKYTyE5kUoFYghLXIMEQFGikkrq6xVvhjxDXGihJr/H2WDTVtNUbcakXnBDiNrX18X4U/B5rO0AoAMsYS6IgwiIkjD1yY2jNI/LjxxpFJR6/BoBWtd9XVj2NfUKa1aYopjRAaIyU6jnEqaIAWw3RZEmiFsxrnNEVuwflIF6xuMnsDhJLMUu/AbK0kW+S+C28lWCitXzxqrckq2xg2+mIOAqJ2iHOQ1zXpbEmee5oguvLHa61najhF5cCWFtcKfbaua4yPrCM3BowFp8BA5RRVXoNQhEGMUNrnH6+8EGpHbQWmMJQu94uWwhsLpfM5YRBS4aPMimVGWdgGlHHooCCOY7T2cZlV7dA4LJrRbLmW4ASBJozbqxcMVV1TOY2VEU5FhKGnYdoVU8f5SMmqttR57fWWTRwlOGaz+Uv2jJToMEYnHtQDv4jWTnCwsU1gDMVywvDZA9qthHc++IBPn56xt7fHrdu3WC6X6G6bJEmowojZeMJ8mjMej7mx6SfWW7d3SbShLRzT2YyL58/5/PNHbNy4TRiGnJ6eMsmWHNw4oCZnrz/g1sEtfvzDnxGGEbVZ0mq1+LVf+y7GFHz49Q85fnHF8YtrorCHUg4pHMbUBGFI7QQITVY5rFaIqINAoqIOVVVgkSgZILTwCwgVIqI2G/uH0BqwKC3WSuIw8uPZOW8W5Y2AKUXIza1tuqFjIzQMEkFEi63tbS8fMP4+5M3EdXZ2weXFNemy5IMPPmB3Z5/ZLOVP/vg/kBUZe3t71FXF3u4eB9s7xEHoZUvGy5TGwyGX40ucVlgT8tab7/HNb36Tzc0tLq/OOL94ymw+Iyvm3Hz3PXZ3d/1zXRlm0ynFIqUscnr9PocHB/T7HUpTrOel2WxGGIZ0u931OyvLsl82ff5q+0+8rdJdWq0WQvhoRl8f+8LLF06+mLMOSuOBb6Qi0N5YzS+iIcvmeDDAFwmqodL67SXbK+m2/NwdeOp4XvgECb8uCZEy9HUpDRPNOqwTDV3bNR1I7QFUAbYpkl6y07y5rPcCeQWobg5l1bF1+Nz3ukntWUkitfbMnCSOCUJvRvvqes8632kuhcQqgY0lSksvW9MWmnhd53wkm2iKqVWXwAq3nkOte9kXx/ljs6bAmnz9oR7wawpq4ZqiS6wLq5WcYHWK/twacAGJJzuI5s+m693QBLy3vGwKJ4EVBu+079bHrQFnKoytEU76WDah1nWtWxWOeLmBw2GFBeU8I140mfZNJWaEpQlp8GMJXgNznPB7tLb5OSd5+a80n7O6bi9TFTzM4WVhq3EnhG2u40s5hxNuvT/fzVesL45zDZBgEWicEAiZYKxiviiYzhY+flGKl4bNq09fVfbNGBPGyyBWdAPfUPasCukEynr6v2g8HsBLN1b+Rr4LvSr2Lc40X86bZEspm/Qj5Wn0xqFWIFKjQ3br0WUbUMUDGy+RLg+WSCUJdbw+d2stlfN+N34cN6w8Lb3EgJrC1ri68uzC3MckrljKceLp7P48XkYoO2cbvMMzXEM0SjbgirHelBHnk66a62CxGGugAQ4VNPIb60de817RTePTrYFJT813brVGNw3e2FDHm6EjUaiVaaUErTwQEAhBN4o53O4Tx5LL0Tnz8wd0e10+/OBj/vbHj2n3+iTdrl/PCUcrjplMZ2Rpzny6xNaOUIeMrkfs7gzY6LWQUnB1fcH15SVHJ8ds7ezSbyU8ffiE6/EYuXNAqDRCKd64e49/87/9G+rayw7CKOJb3/4mOoh49733GU9nnJxd0x9sEUQRWZ5T1hVOaO9l0Zh8WuGjIp30nX2ExuBTUZwKCF2AqgSxFAy2D6gJoJLe20CoZsx4dpRq2KedKGJ7Y0CiHNpVRKKm122xtb3pZZV1jXOGsszIZxlXV5eMhyNqU/Ibv/mP2NzY5tmzZ/R6PZxzvPXWW0gp6fZ67O7ssLG5SRB6k3lDynQ2pyxrRuMpUir29/f47d/5XbY2+hy9eM7l1TnT2Yw0m9PtJXR6MVL5eL58MWMxnSKcYXNjg06nQ7fTpSpL8jQFJxmPx9SmptvzkrDpbMov235poS+lXNP0oyii1WqtdYmvFu6v0txXf/fPpVj/3Vq7zs7Osow0TddF0asd+RXVcqVVfjX6agUgtFqt1z5/5Q/wqsxgBTKsEPIgCGi1vFHXqhsshCBdVA3SbNc/u6K/rzTTtjZgLcY6dOhpQ0KFWBlQWUGZFljrO4dob5BipKQAVBiC1V57pgOUMKisJstzKGuSOKbd7SCE8EWLtUilqI3A1RYrfFSMDEJa+hc7SCsdvQVvlFdVTWRGcy+E8GipkOgoWAMvq+v28ssvUKIootUAD3Vdrwvn1VcQaqxYxfx5mveK9eGLTB/vUmWLNVBSlCW1MUghaLUSVONSv5jP0VrTaXtNTF1VlFVFWXm5hmzug5CC2tQUZdFEDfmXSBgGTXEmiQQ4HfjusHNY6Q3rEMLHGEqPxkrz0jtgVUx6atbLczTWR9c4UeGQVFVDEZOGOPEsjKoqkdLrkFZGc95UpFiDSuBNAGUQeaqY8uY+aZqSldVLqYM1uCbTOQz8MyKF9A7B1mIL7wAvdUDVaC8Nlsp45opQzaKkWUjUdYkR4JSgMBUmT/1Ylg1Dw8PgtHqd9bUoTL0uXIJAA8LHG+a2mWf9akc2IFpZVetnNwx9hrG1lqyJ6vmFd4kQlFXpo2SkpG5YN+AXo6tnMgz9O2EF1GmlyLOMokk/WBk2GmdZ5FlDT/UgiBFQVeXa2M+6GhX4hacxCteMnSDwJpKrcVtVy6Yj4rsIQgiSTgvRFAFSSpABy6JE1YZOEiFxxKFiexAxuThmMX3BRmC5cec+xjmOj45Idu+glSZqdRiNhrhiyXJ8zejyGikGWGsZ9PsULiNJEja7EaMXT/nb/8+fcLi5yR/8wR9Aq8utW7fY13A2HvI3f/M3yMrQUSHLDz/i888+J45jvvPxx/zWb3+Xx08/4/HjB0wmE5bLJQ6IkwSlcqqyIE9TVNJDal+4m9xREuIIKGsH1YK6KhDWEmpBrEMCrTF17Y3OlMTqgLrw2blOKpJOSNqAYFL7TG0dSITwbIIqG1GHinu3D2klCWVVUTvF1dUVdT5ieHnE8fEpSdzmu9/9DoPBFrPpkuPjc6IoZGtrizAM6Q8GbG9tEcUxdVFiiwrlBMdnR0zGYx69eEx/e4s/+P1/zo3Dt/mv/+W/5PTkjCyb8+K4RCpJFEXsbG+zsbHBfDanSDPyLCPUmjt37tDrdH3nrHn/zWYzsixjOp2ugeI0TVkul78q9P+Bt9W85f16DHEUEUcrWdeqMvb6VuscgdS+syZWpVPTobWWpN32c5Z1qFUjUjZNA0SjoZbN2sQzhKx1aBXQ63XXnXhrQEoNzhG1oiaP3TXNCN/BNo3MwL/vRdMVauLOX2nZO2dJs+XrzDHn0IEvgo2tvVmgCtFh0My5DXDgBLasm317vx6hJEr4btiqzA1D5YtT6Q2QhfUNZIyf04WV9FotoiimNAV57t+9xnntsFh3oL2YUVvnKcViVeQLkA4raCL0vPJ+dXukW9HmV+W/p+abpuMJjQuAWtvasS6F3QoaENAwM+JOy3fy65qiKNCBRinvWaOEBFtTGQ+OVGXlC1LRSDmEeglcsGJPrLruK7DDWwH6y/zSVFoIPOVe+PWDW9XOq265e9kwX99fIV/598aRwDXeBTgvr8A2Z70asU3R0hTqUsjm/jpw9qV+W/imy8XFFVeXQx8LHYQNc8SvgUTTmfYF8UuwBvtKR14ILx9ZrSCtL6CVc+jVdbev+9d4EMiDOgiDc369bGuDNabp7kMtJTrw66dANefCCsyqm315YEQ05yma7qw/HH9dnPUAlLVuzUCw0KBLTUMHg2nYXs5WWFeuj0Np9fJ5x68lqqpCCu/FU1vTnI9tFBQCHXhKv8Jha4MzvjmgmjWRMH7sN2IglFAo5/dfWUeZl5RVuV437R3s+4i75u8Sv/7GGS8DMaaR7voRsWKyWGewBqwUaFYgmEMLkFVKS2takWQ0miNbAd95+yPGFxlZWrG5vYuOY9I8pciX4BzLxYLz03NWJtf93gZaOPZ2+tg648mTL5mOh1RlxdvvvsX27h5xGPA73/mYJ0+f8Wd//h/pDzbQQcRknvLJp58RhCFf++Br/NN/+s949PQpZxdXDMcTFssM4/x6RIchNs2o6hoZBP559DyFlyyI5vyE9F5trknJEjpBZf7ehnFCZkDUfhQoofy7QxmUMwRYlDVQOihSamqKbMadd9/knft3qfKcuir8s4SvI6ezCY8fP2Zna4PvfOfb9HobDK8nay+5/y97/9UkyZLleWI/VTXmPDxYRiS5mZeTqrrFm2CabU8P69kRgUAg+wAB9usAgu8BAR6xEMiKQATY2eFNqruqpqouJ8mDE6fGVfFwVM09b0/ffemdpzKRqLyVEenhbqZmes7//Emo7/uDPpPx2DN/a66v1jTWcXZxyenpOc9fnrA73eNf/st/xe7+Ib3RlGdffcb19SX1y5o8XzMY9JhMRkzGQ5bLW2zbsri9wVnL668/IooEvI20SKTruqauWm5ntyLZtY7b5S3r1fq/uGeG41sb/bA5bR+BPhemyl1z5DX72xrl8H2QjOwwtbbWEkVR19CHoioU+8aYzlTv1cnsZpK9rYNWSrG7u9tR+bffR5juh2Jg+3th8qu17VIAnHOdNAH85ocmTfrocEN5HZ1REGURTdtSFCVGO5IsIooyoXV4KnRRiBlfs26JIsN0Omb39Uc457i4uGAxu5WNyE+PjNbUKpZpY9tSG01dFoyGo+3dQ5gJ3fkGfNOaxBLpopSXSDStbFpW/rS27eLDmrbxZn0KozNsZESDZQxYyZ5vrfXabUtrFMpP7SPfqN5erzo2QhxHREajazE2jBTEiRFH67qmzhvK1lLXlbylJEY1qWi9gJ7R5FVNWVVEWUpmDHXdSAReEuNS0aNY1zDoDzyLQabL1qSghR3StK1ILPwaipNEkNAm3zBAgrmOc9SNn6pYS5oa0iwCJUYeIc1BKcVwNMIYR1UVVNVmPYa1E9ZwURRyXyD5y570JXSxKMW2kournVDP8qIGD3QFur5tfbattdjWegS9Bu2nQFpcOvXWPeqcY3Y7w0QRcRqjlKO2BW1dkSiv0/cMDOcLz7IoWa7EtG48HjEajVFKJugmjrr7zLayibVtQ1EsaeqGNJOUjLrJhW2HmCM1jY9gNNqvE0/DspbWVtja+rUao5WAQM5veFkUY4wj0j4eMlYkOupisajW1K4VZJoEpYUOVjYC9hG1xFpjVEIvlqLB2paqqqmrCldqVJpiIomZUaZFRQqtg4GVaHmVlvgkow2tbXBKDC6LYsGDgwn/+Hc+4EDNqJ//itFOxPv3Dlg0mr/5zUfczmYcvz0hiiIuLi5Yzm/RTYGtKjFnOXtOb9Ln/OKC0hYURcHPv/gIVnP+7M/+jJ0s5euzNbPlORfLGbMq5/T2mjxfk98uUEVFXDs+//xz9h98hyxNuby84OmTJ2itWS4WXQRpmiREpmW+XErkzWBKlKSc3c5ZNBFm2KeXjcmUoWfX1JXCKMewl9KLNa4pKdYLbLmCyFCyoK08cdFKxFg/Tam0pipL1ssljXbkw5IZJYeDmDuH+wwGA6q6JukNSdMB5e2Kx48fE6mK7333e4zHU8bjKc5q8jzn6upKilWtGI6GHN25Q5KK1wpNy/z6hsvTcy7PzzFa89abbxIP+gwGQ7CWH/zoR0TmV3z22W+Eap+0jCdjBsMhJjJcX13TVjW74wm7owl7kylpklCs19SN+Ecsl0vOz885OTnh6OiIxWLB2dkZbdvS7/e/dXP97fEPe4Qmq65rtDEMhwN5noXmK/yc25CIGyfmbAF8FCOrCBOLNK4uCuqixiglhlZep91xa51M5DSiszcmQpvIswBbT0U3aA1V1VBVK5TSZFkPpRx5LtpJ5yxN3WAieR4qHSR1UjRmWeafuYXou53Iyow2ki/tKb7GbRpqqVUKz7yTabcNk1StUNahPVPNRBHKir9ObSW7HSssyd2dXWg1UdJH6YjLi0suzl748+on1crXPipoysUwSms6YzHxFJCJK14X3Vjl9cr+3+Ad813jm/fQ/ErTaMM0PwCvhMl+mETLz3rHOObXFwIMxzFZ1sOWNWXd0NpmY0KnEL2+k9m6dRKP124xFIK0MY4TMVRuN47zEnkVJuvyb/FNv8L5elDOjdHGN9RBSgIOr9fvJvqagAy4oG0PnxMDtJs1rQSsMVrWeVVVaO8x4FyL9hGQTSPXXUwVW5RtPTAhiUcyjDObRt9uaui6qmlti44i4sS3BM4bKPpG2yA6f+mPlTctFC8F+Zyq+7yoAJR5HkO7Vbv7+0YB1rUy4WbLGFqoEwTZiPEae0kNkPvGOSQi2bU0tqUoc0C0/JIg5TxmIUaM8v9lDfoVLc8SK2vSWfwgyhsl6sBI9WtHiReBiSKMVgFuEEd0Z2n8ebeeXRYnkafXh2ZVkyYJSRJ34GFTN7RNg/XnubXex8oDYMZHIjont4hGd0CYgGnKewUAVU5s4F/98z/lcKp4/vTnjEcD7hxMWd4u+fqLF/zmo0/5w3/xPg7H9fUVbZlT5AVlWbFcLqnKinvHR5ydnlIVS4a9iNnsgsvLS95/7x2GgwFXVzdcXl3y/OUJRfkXzFdrVss1F1e3KGW4uVnw9ZOnvP3WW7zx1pvMFnPWRe4BjoZ1URAerU3rKKsaa8XEtLaW2kHtFI0TRglOJCnK1WRxBNrQqFqejW1LUdUUClpriBoljBjVeqhADD6V9hIpHMVqQeNqPnj7dXYnYxY3N6CglyYCtNiW2WzO8xcv+MEPv8/+7i6JN6OezWZcXV0R5MraaKbTKYP+QJ7bRcnl1RXrvODlyzOW6zUPX3uNO0f3SLM+w9GI9997n+XtlTCsaktVtRzfvcudO3eIk5jb2S0KR9ZL2d/dQyF7kvb1q7DTa87PLjg/P+f46JjFYsH1zTXOum+VEn5rox9MxqIoYrkUN+MwVd+egHZTZbtlZKXUK3+G6UiI1+r3+900Ofz78LMQNsHNlL1b4Mh0PjT1QesfIva2f3ZbIuCcxOGExICOPRCPuslq7A01xj4fORgMVlVL1UjufRIZYg1NVaLagjRqiWKFM4pclWCkCImMgAur9QJtWvoDmXYncUoSGfL5jUw3bcUgi2gaqI3rmAjEPYH8PYAtm0HzCi9PkEMxFhK0V1FWJW1TYbSjbVqKPCdNU0Er65ayaXDWEsUxGkg8HG8ttHWNLS15te5QqziOMa6lUS0WMVVTVpP2evQSkV3Qlt4zACLtSIwjctIQNnVD08rv1J450csy7uzuMhqNaBtx6gwu7avVChVBgiKKHFnkMJmAS03dUFQFqq5JowjTFECNcdCqHipKhUYUCVDQ0+YVc0ajFXFb+bXq3V474Kilda3P0BW9IiAATFOBbjxyrUGn6KiiKulApCD1CO7yVVVJs240Vduiteu+msZ2U2djDHEUYyoBYYTJorGxp0Za193kLgYVI9Qm3WJVzbLIX2G3ADSqobUVTaW8C7ImjmKZZjlhjURRhEkylHLEStM3ghyqqKWlABTONGTem6BxjZwfa6FpSGjQqiFqETOkJkfpzT3f70UYbbr/HxgrrZLz3KoWFIz7g1fOoWtajJX3aeuKppLPppHfU1YVZVGyjhzO/z5jfBSRf16laSKMDwVxWwlqb1taW5H1YrJUGBZtK1Pq2klhFRyelVLouJECx/hCzmqypEdvEHG9WjAa7/Peu6/hzj9lfeN4bW+MsXOuryq+/PJLVrk8n5arpQBFRYErllCt0UqTpSkHhwcsV0uSUcx8LmkGb7zxBnvTHc6fPuXyckk0nvLll1/wyeOvOJ/dkGYZ9/YP+JPf+0e4VUG/P+iYLb/85S+ZzW/4k//mD3n99bf42V/9Z26uPhWKe9JQ1xUKYcM0DuK0h8JQOUNbWrA1Pb0gASIcrqzI1zVZrNFNgW5y2sYxXzTYdMxwMEApy2p2LaaJOLTS9JOEYS9hMslIVc2DB0dMJimz2Q1pmlDM51wvL1g3sH9wwOHugN3dfZzVtK3l4vyClyennJyc+Od9xLvviOP+fDanWK2xVc3JsxfMr655cO8+j157yHB3yMnVhX+GGor1mqLIuXfvHkmcUFa39Hq74BxVKffneDDkcP+A6WCErRrWK5moFmXZsdkWiwXX19ccHBx0+8bu7i7379//tu3zt8c/8BHqhNFoJCB3YynLjZwN6J73QZ7XhNGqL4y1kyZsfjuTSWwj+1KkDbEHx4W9pMKIV8BFixiBugZrhdWo/HtCSRMiDYlAuq21RJGm3++htaJpNulBWZahPL1f6hhLUVS+/jGoMK30TX0vS7uk3LIsaZvglC+mbaJdNZK04yONrZ9Mtm34WYnIFZZS5OVxmjSOKcuKWCdUZUFrwRjFaDSgaVvfoAtFXIwLEY26B0SEoe9n7h4YiCKR+Tmj0a0Y5rXe5FRtxq8QXlvOcndOJYjAobpprUN7CYA0+hsKfJKICazUjRaUw0RgiHyTL81Si5PmyTdJrRMTPqdVt28lcUrbSI1jIo1xiroW/wJpFujQJN/rC13e0/WVP6cmMFzV5rxsqOl+TXnjW4c0rcr6F3XOn0fjf4+f4CMGj21jZb/CohViUufPooASAkaZyPhoLpGuNn7qHgAThSbSGqck2qxqGtAlqtRSB7Y1KEccJaRxRhIlJJFo2YVYEaQyGqsC42Hjn1DXNa0fJjkQqrpS3kjR0bQSX4sKe7jyBtDGN/zGy2qkeY+jWCbxnoXRto14ONVVd560Ch4bwsbRQKxBEWFdhLW1//KMGqQGlmvhUJEiiWJUZPx9Y7ty2wJNI2kOnnQvEteywHaSW6jqElOaV2qywWAgcX5a1oJ1kpblaL2sQnUEEuvEwBNrURh0FHlZkch+VFhfOjT+MsDLUsPdwx10fY22DbuTMVU+Z3kz49PPvqCx0FrH3EslW9uyXq6xrWWQZdIIWsd6uWQ4SHnx4gVlMedHP/oxSaw5Pz8XQzil+eyzL5mvCh4/e4k2MQ8ePuJ3fvf3+OyzL3At1G3Dcrni5cl/5urmlh/++Cf84Ic/4f/7P/1rXpycdfHoRVGiVISJUurGUTlLqySes7UeEFRKwNEoIoo161oAvKZtRNpsxC9EnkPOA2wCdGklKR61syTasbe/zziL6Pd7tFVFXvlId2e5ODsjTRPiJOUHP/gBe7tTcI7FYsnsZsF8Pufs7Iy6btjb2+OnP/kpfZ/WU63XzOdznj59xmKx5PDoiLfeeZv+YEJVW2EUVTV1UeNazRtvvMOvf/MxUZwx2dnFmLhjAt89uoPRSoa61lKXMmxsbdvtH1VV8fLFS/q9Pnt7ewBMd6fsTHb+3r3zWxv9JEm6ZnowGDAajboGO3xtU7tDoyxRYpuNNzTcw+GQfn/QFecKJZPcLVDAOZmiV1XVfcHGQC+Kom66WNUVdS0F7GKxwJiIJIk7TXvQ9ocvaa6CU7rDGE0cLYlM3HkFhNffNqKzVknGbFOh2gZlG0a9mIiWZj7DupY4MjRJQ9HIZx/0BwyGA3ZGCUUhE7uqXNGUEYWNqf25C7pu42k5ylk0jqYRN8ptEOWbEYXKP13auqWoa2msm0ZoybEhTSKMS6QwcYrUCBU30AfDOamqGoVmONwl9v4IQaektcYZBchkdxjpjt6ssNBUxEqaIfyDNcJCnaOcxTiLchanHCYxmChGAcX8hmo1I47kAdhaS7G86YwUE61wdUHVlhsmg2uIJJGXJs/JF9fd+YsGd4h7ktqgtOjYXPJqAywglDAnirLwzrQeaCKg7468KFG67eQkTdOQphllWVDWSz/JUyg36Ojd4fr0ej3SNKUoCqIopjUJ1K9KA7Ke6MXxdLwsTcGVW6CXPPC11uJ2LO0nra5xuvXTnRana5wTAMJ/QpRSTEZ9MRkrSyIVEacpUeRQuhGaWlP7DGFhVcRxzHin51k1BbNlLhuh1jS318TGkCSpIJ86oiotg2TQgWxNW+LiGG020Y/i6VHQ1ht5SNsKmLHtrdGWGtVuGv22rKlr78brpRtta4kiQ2/YQ6k+Tdswi6wYyLXyEBSQUWGMIopBRy0G6KlQ+Bt6kUgrqnXlo/bEk6DStgMNQhyTSEacj3NxxLERCrArmU6HzGbn/NVf/FteH5bcGUSopuD25oRnT5ecX1zQmx7T7/eZ7uwwGEFsFG2eoJse2oJSK6Y7U/aHByyrGdc3L3n9tdeYpDHPnz/n5MkTTm9qzj//mt88/gKbGPK24Q//8A/ZH+8wHo/5f/2P/x8inTCfz7m9uUEZxU9++hPeeustRqMd2lYApZ2JwbWW1puZpmlG3rQo3QMj2jhnoa0bVsU1g35GCywXM8r1nDt7U2LtiFxDVYrHAlFKsRJQKzKGphLqmIljYh2BrTk/u+L9Nx+QJLG8v3pNlqU8/voxX7044/s//j3efftNEl3T1Jbr61vW64qbm1seP37Mb37zG/K85PjuMR988AFFUcg0vazJl0uctbzzzjvsTHbo9XuelSLSD+ssjRVWyjvvvsuD117jydM14/GY6XRKv99nf3eP8WBIpEJutRRgIhXJWa4XnJ6ecnLykqqqePz4a8bjMUdHR+x6oPK3x3+9o9O0f8NPB+gGBeG/N3/69srJRFf7yWuWpMIo6kVy/R3EJsJaZDIqXTZaaXEUV90vAvCNoZgg4QQoD+lDodFRYSLt/4xikQMul0sZPHQ/v0l+6fWEaRTHCVEUY1vLzc2tTCa1SKpU19mF84LX3W4Yi/INOr+ctm3C3JzWtSRpgvHGoq212Lrk8vrCN4re9DacY6WEDhsFI7jQKipP7Q4qc6lPqqqiXK9ocJgowUTi89KdP2V9Nx+aWtlnRQu/xc7oJuJCoVZd26W6r7AEFFHHwgiSvIAlyN4uk+7W07KV9rGASqaGrW3p9wVoj7rUos3acr6JCCxy5WP9nPPft2KAu67kevZ6PWGxahM+Bt0r+mZOJsxyMbuUIeeQib58wrquaBvxf1CI4aCnnNA6S7UuhdGolK8nIqz266ljRIgOPTASlPUpbFZizEaTCWjxtSnqSiaIrbyz7Voa6PZZp/w0nHAdX12TWmuIDKoNrvW6A87a7jS4TTKBUyhrUb6R194bom1bqrJi2UrCj9LCTomjiMhHSE+zXaxtfC+wGYZZf+LlOm1ACALxQIdz7xkZ4Zpv/qerCTfsZkUWCzsUZ9FqLEBgq4Sl6ZOEtp9BOviXedAniSLSTMyYi2JFVZV0cp4wlFLyTGlau3kv/g110JgFR8t0MmCgaj76xc94/6073Ds4wNkbrNU8fnbCPK+I4gGTyYTxdJ9iueD89pookkHn0eEdvvj8cw4O9jHasVrcMJvP+cGH7xNFjtPzU87Oznj2+Cl13fDk6XOipE9Z1Pzpn/0Ru/uHDPsDLs7P2dvb5eLigovzcyyK3//93+Xeg0cc3jmUdeG6ZdklLolU2dL61SSxp/LcVNrhGsdiUeKcRRnLdDAUySWSHoQKfijOT/W7S+c9Shzrdc4nn37C73z4HWHsOMtoPMJZy/MXz/jsk0/47nc/4J3X3yYyirKsyNdLlosVs/mCzz77lKdPn3ngwbC3tyca+/UK21pmsxlVVXHv3j32Dg4kstEqqjrvnmnOOYajET/60Y/51//zvxZGR+uYTCZMd6a0tmY4GkkEJz4FC5FBrb3Z983NLSenJ1zfXHN1dcWD1x6wv7fPaDTqBtT/peNbG/3lctlRkrdv9u1p+Xq9Zr1ed5P8oIUfDodkWdbRH9N4SJYNhC5SVKQ+ak0ReT0VmEROSdM0GOXIEk3Ttp2ORa6c6WLnIhNhmwpMzNHhVCb2jZiw2EbT1A6tY+IoI40VWdr6KZ2hDZquKO5o2dZabm9vxQ3b6/OD5q2XCuWobVu5sFVOXVeAw2hDPlvTG/TQPpLt4rLi7DxnMBh2gIVzljRV7EzGxLEi8Q++spQJqo0Mi/mCKIL+oCdUtkbecxIZ+v1+ZywoumFF3tSYWEEsmWlpFJEkqVCVm4baaWgX2LYEB0makMWiTTaRZZhosnSMMSnrpRH014M7YToSNn6tNWVVdjhnkFsk3gRIKUVlW2qlMGYj1aitTCtIEqqmoap9M2cgiWUCYJ2maTRJPMQ6J5pg/z7m1bJbW1k2YThJJQKj2cgwUIYoqtG6pWprbJN3TaK1rUfyNWsniQWNNpCktHVN5Te3znjNDoiIO48ArWWDHWayoaZJImkJtH5TUiQDnw6R57Q1WJXQtNA2ORJgLG6gWCnY+pkjS1KkObeYfurZK5vow/n81jf/miiJ0KoHdeYLEdA0qOhV1go4TFsziDP60YYlk8TJxueiv5HkBMZFMRMPiqIQh/w0TRmNBtgopVKKqoEmF5PHLMs2UwcV40yEUyJZaKqasiqJooheb0wvlezrtmlIdSToZNNgIkHpu2l/09Dka8oWWqswNiI2MREGnYhBS1WB5MsqdBvT88Bf2PqGgwHrdU4UC1hXlwtMX15/7aM4nXbUVYWJM+8CW4tJT+u6qZmz0vANh0PiRNDWorSk6ZRJ1HAQ5/z+w3u8xikHTjFIIk5nmscvGorRGxx/eIermxtu5iseRIphL8EWGTfVmrxUXM1m3EQVu/2a5dVTJqnj7dd2iWN48uwJ/+mvfsE8L3jw+nfQ7Q170yOGoyGTnR3+6e/+Yz744H0++fhjbNyjdpYP35wwSEr+5E//jMOjYxqn+PVvvuKzx6dEoxG2F5E6w/XTG5pkQmEychexKBp6SYSurrDrF/TThFMdMWotY2PpDSL2xwe4qmW9BpJj4jRjkilWNFTOUEd9oiQjTQyqWmCaFYNkzV5P8+4+3JvW2OUpt7Nb4jji4qtrUIo/+kc/YW9/h7GB+e2SsmrITMxNPqesK758+piX1xcoHfH9h/dJVzWz02sWp2dEUcRbj17nYH8f5ySWdbVasZi37N95DdsmOGC9viVKHI/efMR/+y//t/wP/8P/k2qtWL94yfDtd5jGEboW8NdqSYfIy4JVvuLkxSWPnzyjtTmff/Exjc15853fY7yTMJ6MMLqHchuPi98e/+sf67UHk7aaDqNFzN3r9TrmRZDANd5D5vD4iF4/6ZpzrbSXBiITk1qa4NLTvQeDvp8atTRNi4k3g4iq1lhP5ZZGWIm/BzIYCVGnVSXFZFnKMEIbhW4V67ogTXuAJfOJQ2HqGaa5oeZQCBOgrFYC1KeZgJBRTC9JqdtWom5tyzpfsvIU6bIocDh2plN0tPFEirQAHGjFfLHwqS4R48EIjXxuhSaKYoqyYLlckHhHZ6OT7rNKcof2e260NUmVSWscGZyJiHDeiACZLlth0q1Xc2xbkyQp/f4AQ4iuc8RJTBwn4Bx1WWK0oshznJjYAL7+DOCAB1mkvgq1qfwZ9vSwx2hv0ogTSaRFItKKvCRYBma9TJhoyH6u/ORcag3xWgheeGmWEUea1EizorSmLKrNeYgFVF14ULL1SQ+Bwq6dAIyxNtSt9TJMz5ojDFrkdZX3czBGo7Xpvt+LBiRpSnCQB2FuNnXj16f1wzPvzC9ThE4S6NBkUYYxEVGSMNRDpJm0HQ6jkDq0WJfgGjE8M+ILENgvTsVETibzKPm9bdPIurYiiw3E9CgyjCbjTYQigV4f5LiS0NC6kIYkPkSSuBMDiqIqqVYLjBFDNIXykgBLlqVgnfQvbYPQoRPiJEHrlMhEshCs1JcqE1NOnKOoKklx0LqrqSyiFXdYtIZ1vhaZoXLEfn0Zn4bQ7/c9m0IkwA6IkviV1xMz4Ja6qrBN4x3fLXGcUNUVq8VcQB0dSRSmUt7sUM6GUxHKJMJqpWJZF/zh7/+Aicm5On3G/ftT8lzz819+TC8+5OHb+3x98pLlcsl4sitMvDt3WM5m3N7ccDq7JkkljvPq4pTJZMgHd95nvV5zc3vFX/3Vf2KxWEh2+3LFnaMj0t6QB48y/uwf/2MevPaQx0+fsc5X9Hop3/nwA5Ik5r/503/M8d37vDw549nTJ8SRJk5jojgljlKsBR0JQGc9KNcG809f0+lgQqg1yih2bMRoVnGzWkMWYZIY57R4jXi6kDYiH450Q+QaRlnEbn+fcawZ9/rQSizq1WnTDXf//F/8Ob1+jyxNaFvxAmvqlp2dHa6vZzx58pivvv6COE5468036Pd6zG9vubm9Jc9z3nn7He7++B7axDSNZbnKWecV/cGYJIpZL3PvyN9w5/CY//6//z/xf/9//N+omorFakVrLbu7exLDaAy2bsnXa9rWsVqtub684pNPPqXIC7744iuU0uztHTAcjDk4OPBD91cHm9vHtzb621N5rXU3UQe6zXRbZ58kYnCVpmn391XlKWlk/gGu/OQ9+TtZ7uHQeoOgxTFU2rxiyrdtzJfE9RarwHT/Hd7rtswgRPGFBj44+VdV1f1McFCfTCad6V9Zlh1KF6aTdV2jSt29zxaI4rRjBChlPKpvMCYm9sVC7KcA1kmDKMi5gAjOQeQXXlVWVFXT/V6tNbe3Mz+RS4ki1RmgRMaQeIRTdPetp5ILayBSqvscq/UapWC5WDAYDhmNRvL5KsdqoTqaezh3sNGfO+fo74xJe9krdPXwvW3/A5RM6au6Ye0bxDiuOjlAkmbif6A1OooxShH5ZhTAJY7UPxQDYNS2LQ5FUVavmC5uyzs2gEDqvyemgbKeNUmSyO/0qH3PGzRur0NVG1QbCa3Km9i4MOHRCq1jIhPT0tBaMfopK2EiBPfWcLS2pLWV94Coqa0ltvEr05ewnoK5XewpmEmadIBLHMcoMpTNhA3gHI1puqlF8Bewtt3KZt6wA5wNCLc3qWyb7h4IzJwoihiPJp3Wx1pLnG6lbvii1VK+ch/K5GjjubHtVYAKNFKHboM2D4pVTtsuybKsi9VMkoQoTuTeMJEwM7QRc0nXdqCTiaQIc62j8lrquq65uriirmuRqmhNVSy4auf+eZR1BpK7u3v0ehm3t7cURc18tcApRa+XicN/KtEvdS0aXKU0/V6Psmq4XVzxvQ/uc//ogIOsYhQ1vHj8FacnJ+zt38HsvcHL61+T9QbsTKcsFwtJzFivKcuS29mcm/mc0fEhZV1yeXlOOs3o393l57/4W56fXrK3f8B+1uPNd77Dn7/xNk+fPuWjjz7i/v37fOeD7+Cs5S/+01/y+htvcnV+yuXFKT/9nZ9yfHTEzWzOPC9xaI6O7/Lp51/Q+oajaSy9nSHKRKwXFcPRHiaJiXJHTSWTRxWL9rFtwE9iatfg0BiT0OqEpCcASVtD6fAUzYYU8TiwTUW5rnFxQ1Pm3N7eorXm6OgORVHQ7/c5Pj7qAJi6qpjPl1xc3XB6cc3jZy949vw5ZVnSH2Xs7e/RlBXzm1uyJOX4+JiD/f2uqbLWCpicjphO9zqpUpGvJX7NWX7yO7/Lb37zEV9/9SVvvf4G08lE5o9OtJZl1TCbzbi4uODm5oYid7z24CEmbnj24jMevPY2P/jBh0ynh8R6SJErFovVt22fvz3+gQ/tpWxBFtXr9WT66Kx/5mebZ7gW1pTWmsFoQBQntK2AmBbrad1aMrwjYVKlWQpO6M3WWrTTGCNTldYGWrSYvDnPIhJNuexZwUA0PNeVEtBda2luxOQU72pvfUNEtweERl91z3SpiWTyFdHr9cUI1tNetTGYzBvnVjVlKSkqaZJ003y8JE4SXATkxA/UnZ8aFWWJspCkPdlfCzGZ3Jns0DQV1rPcWusNzhq/byt5Ho9GI5IkpW0kMsoY6A3E3bvxPkBNE7yELGmaAFLTXV1dopShKkoUmrQ3IIpl7y6LAqUcw8HAM0A7KFYAD20kGURpme7GSXe+pEnfsCFbGyKIXfc+rHMYpbwESUkqi/WO70E26Y+wJ0tD7c+t8xN+v98551it8m4tlOUCa2fdugxryHXRdcpP7lUHUBgjFHVJGHQQgCQPBm1L4YANU4KNxj0098ZEwhYEtJPhAL4G6Dy1kMm2dZaqqMmLXPyYfE3Q72Ukceyn9T6NQllvWArBq8D6vaLX6xFF4iWwalfi5xDqBOcz4lFYJ3Vv4xkR2kmIorB15RoNh0NfTwf5otfPO0jTjCSVe3q9lkhXp0XGUpYFRhsmkwlxIj5FTVMJUOPXjcN7GHhponVishckdOIpFqIfDFa5YJnomQhCEa9b6+U6AniswwDQIcbQbCbLofew1lLkK8Y7IwHSrDwL8J4KYsapharvm15rt5hK2kHrqJBG9t3vvcnh3phBqygXc06fP+XlyVfcO37A4d4H/MVf/pKsL4PXOIlFVts04nVlG66vLjk4vMPV1SVFnjMZDyS9q6z46quvOTo64q233+a73/kuOzs7vHxxyuMnz9FRyu7eHsvlgs8//4w7dw6p65Kvv37MP/2nf8bR8THGKOqqZL5YspjNwUHmDe2c711Q3p9jm/kiuphuXcszVNNvFXFeSl1mRCsPCmP9PeHv7bKqKWyJpsCpiH6qOE6GJBbmVzcoHIeHh6zznL29PYbD4YYRZkUic3JyxsXFBScnZ1zf3LBYLBn0+yLhsyKvikzEB+9/wOHhoXwutAfRQKuI/d09RsOxN5MWYExrzY9+/BP+3b//t1zfXnL33t0OUBXT6pr1Ysns9pblYs1sNuPm8prd3T2yNOX8/JK7d+/yne98h8lk8grT7e87vrXRn0wmXYzQdqxeeJgWRdE1+FqLo3GWZQwGEnMVGmSQB2Mw4dtuIkNsH9DR1MODMooi5vM5RVF0bvxpmnYO+9vmfmprQ9s43L5KdQ8P3NAYBFAg8S7zSikGg4EsQA9ohAl6MCEM73u5XHYAwQYx3kzAw3sIesHwPWstl5eXr7yv7X8Tfm9IAtg2N9z+XHVdU7cN1utXwvsI12W7Ca7rAlyDVhE6FtbEaCRFQL4u/b+N6fdHrzAZJHs974wKrbUUbU026NPr9TqwJpzLMOHfvs7h5wKdcJshEK57aHS/eT7DuQ6xduF6bXs6hCOARmGtZFm2KaCg+1xBVtJtlP7PcK6ttejWYSxeQwY4cWptfB68s+KLYHpJd+6D3CQ0Nd37pMa6+pX3ur3ewlfwrAifJVzj7QQJZyuwCmObDlgJ+nShlzlPXc/Y+nVdQ799hPcXip9whMY/HCJBkGsZ7o3gPNpd86qm8Pd6WOPhHId/m6Yp+e2io+OH6x9kMsFnI/xdmI6F37stw6mqqgOktiVDos9Pu+toTIQiYTLZ5fXXHwGKvb1d3nnnXVarFb/4xc+5vLxCzVKKqqKpa+Zz0WhnWUZRVD4pos9gMCJOFGna8t777zMYOG6vzrleXnL+4gV3j495+OgRX11ZTk5OePToEcfHx6xWK1arFcvlktVqxfX1NacXFzRpzNHOPUkyqSs+/+JzloslP/jBD1DxiGQ0ZvfgIdZafvrTn/LP/tk/4/b2FqM1pX9mPnr0iM8//Zg6hvv377NardBas16vxJBu67kLmihK0DpGoRkMhqyrGtU4YpMwmOyhjEIlfaI6p+dKxroldZb1Yo0yGTqOaJCmonU1RicMsp5o/W3DIEqZRH365GQ2x7oZ5+fnJIk454/HY9kQPWNqsVhg8zW2abi+uuLLL7/m8mZO2hvQNg2L5ZLRZMr+/j6LpYBCd+/eZX9/v9s74jjugMj9/X329vaECljX3XMjiiImoxE7Ozs8fPSQhw8f+kJcmCdN03BxccHZ2RlFUTAajXj42hF7u3dYrq947733ePT6XabTqZ/q1uR5y3JR8h6/Pf5rHWFvlNSTmvl83k33A5At2niDck50sQoxqDMCFPZ6fazPXXeeuhxkPCHRJTSJeEq8QXlZXEtR5LTexK7X6/n87mCc5fzeK4CixAB2nH+hFYM0uspHi+nN7w908W6iH6vuOQawzlfYlcWYWFh7zpJ48CBfr2mamjgSCWJrN0auHfAAjEYjqqZ+pfGtK2E0rfMS0S8rkjRFKUWeF0IfdZv9UptgniYNzO3sxjew4tERxRG6qtDGUJQlZVXiXJBYtRT5CudEnxwZke4lvT5KRd7nQBHpiMQX35HZZJ5LLd8yX0hsVZr0MDqmbRvRvDvHcrna2oMEqFUdKK3E9V0JI1KuDNJQE/bKitybKgZ2QACJ5eel3mzq2jdhPlINmEx2uvok1EOd3NQ34MLi01jVerf28HcysQ9AzXq1kuGCbw4C2zWsIaWgLEoW1aIbSkgdLslGTd1wtZTPYZSXNrjWD5V8k4siThNQMjiKkxhcLDIFP4Bq2jbACAJEhbVeF9LsxGFiLclLWosnjjSwqmP1OackjhmhpFu855Fz1BZorfcVkI5vuVp1zZv1xpLKT86FDi+gWeRlV/1+j8Vizny+kHMI5PmKYCBsrQwzBv2e/wzyOeqm9abNCdPpLtZKbXVzfU1RlgwGItHUWggq/X7mG3Ql71c571+0AXPCvYISfwLHJuVKKcUf/NEfYm3L/v4uu3tTcC0ff/IRH3/8CcoILb+qS5o8SDXxg6QeOopolfGMC8W7b72Jra/BrYlVw9dffUXa07x2/xEvnl/z5VePeev9d8iyjMV8hq0q1us1RZ5zeXnJ7e0NB4eHDAd96mLFbHbDOte8fPmUN99+k9gYsl7G4Z0jRqMJb73zAf+bSq7h3sERJy9P+fijz/jww+/zb/7Nv2a1zvnRj36EbRsKv//eGe+yv3/IumhpfZN8ezOjP9YMe7ugEzQxwgPStF4GJKCQoykbyqJmx6RUTU0yyGgSn9aG8uCc8mCfBlKUSkmSIVHcUrUtrm64vbxmsjNgZ7rDeDzk4OCAyD8vI2NYr3Lm8xuur685P7/gyZMnRCZmvRKKvjGG6XRKWZYkScy9e++ws7PTDemqohKjwbLg6OiuyCGMQaO4vb7B6IisN2Aw7HP/4SN6gz53Do8QTw5F2wjAuc4LLq9umM/m9PsD3vvgO+zuTLm+uua1117z0cG7cq+1AtoURfH3753ftrFeXl7+nSY65M+HQjt8f7thurm56ZrNXq/HYDBgOS+oqvqV5tA512WoJ0nSxd8FYMFubUbh9QNqCBvDvtAg9nq9rujfnr6H1wjNYtDSgRTCSZJ0zX8oHK+urraQedW97najuW02GAxwQlMWGvvQrIXflaYpvV7vlfcHAoqEBll8CXTXsG43S+FziMGKBc8cCL8nmOgFgAGgP07xJsNUlVBVB4OI9XrljfCsRI4lmwSFcI5CIRVes24anL9mYWEF6n742bquub29pdfrde8/pCiEz1z5uLRwLsO5zrLslXPZNA3X19eyWP05CE3wtu49NH3hXAYjrXA9wrrbBmXCz2+/BkBMjHHhPTiPwAd9mjj6Ogula+j3+6S+KArXNPyOKIooq1JMF7/R4Iaf2U6VCMc2KLQNIKG0eB2YQGxyEgXoP1+SxB6QKF55vXAet9dcAOW2f64oilfuDa01o9GoA5CCrCOskXA/KW1J0k3yRvBZCOd9MBgwGAyIo42Df3h+3Nzc0O9vgKMA/AWn0+37dPsrnLtwTYHu+bFaSQrEeDjkYOeQJEnI1+JhsVzkXJxfd3rvsizpDYf0+qq73uB8NJHzQEOfOO2zzmsO+1N2JhPSJMcZQ16WjMdjHjx4wNnZOT/75TNubm746U9/SpIkXWJDMF8E2NmZ8Pobr5Nlmi8uLjiZn/G9d1/nD/7wD5ivK86uVjx8511ee/QWRdnw/PlzTk9Pefvtt4njmM8++wxrLdfX13z/+9/nT//RT3nrnXe4urxh6Yv1k9MTnjx5Is/Y9RpbFzgrtE5btkTxgHFvSFFWRAaUkg3G2op8vaJtVpjIYY2mbhtMqlFxhLWSwataR1UWlKsW9JLJqE+pK3Jdihwn0aRJShQZ7t+/322O4R4Ia2l2fcPTJ495eXrOdP+A7//op8yWa/7Nf/iPKAUHBwcSr9fk3Ll/2Bni5XkuUyMPnuR5zoPX3xMQzRhyLylrrWUwHGKbhnv37nH/3l1ZD3neaaWvrq68x4u813v37jEa7rNelVzdlNw9liZfnuctbV3TNNZHqP32+K91bDPLnHPd3h2khWmadpRshX+uG6GVr1drirIUhgfQz3qgZPIoMVzCiOr+3RbgLM3jUpzrlY+QNVJoS8Nh/N7WyvrwLtxC3RZQt25qqrJAae0bJzFhC/t5kBZt/27YDJWdn8JZJ9T82e1tl3cv0y5hDyiFZ765rplX2rMVgKppiOKY1O+XzlqaqvZsSNlvgs64KHOynuwRgfUNdBT67UPqIYPSEU1Tez8TAV2M8cCzkqmtm4iuubXeUM2BbSVpYL1eU1U1cRSxM54AsFzOsbbxjbJMYiO/bzZ1jTUhCSZHa4MxmiSJNhNQoKwaCPu+MZtp/5ZGO3wJpV2YPkqLF4ExAiQ3bcP5+SnBW0dMfo1ISBDARSvt8+tl+LXNBt0MbMAZJX4QRt5lqEfqukFr5ZMbQsrBJl4SnI+YrLzHUuUBI+Wp7ZooEjPmcMGCqZ+zDrTrmnCUEoNlo7p4yfA7HDLg0J7B4mywE5SaKMsylAdVpaaBuqmJjCFOYgZ9uceMP9dV04AViWDbtLRs9PvGGGGoaGFNKgSw2a4lHCI7UErh6k39mKbityFNmTSlcYgja2Sq3hkyG4NtN35XDkW/P5RYs8Wi26MnPp0lLHnbBimC7dajMRJ7prU3AtSGSEdEsdSaWSyAi/M1qPH+DyaKuDi/oKoK6rrkxYtn5MWaL7/8gt3dPQZ9fPOKl81smMlRFKHiDBf1iZRhpAsO96dMW0t9eUNe5UzHQw6ODilXNc+ePMPWDfvTfZIoweForAyllqsV6/Wa4XDE8dEdsizjyy8+5erqnLfffp0//pM/ZrWac3N9xZtvvs39B6+htWGxyJndLhkMxqyWOWcXF+wd7HN+fsF7773PH/3RP2IyGtBYx9dPnpKlA375i19wenqKA4qixDYN/eGQye4BTZSioz5Z3CPWEUVjKaumq7sjE1GVjb9BoW5b4p0e6MYzIITFUlUtRSHPsihKiIyjrAqSxDHox1hXkWZDjo726fcTTBz8myxFXvk/c549fc6z588YDHr88R//Cedn5/yn//QXGKN4+Ogho9EIExl2x7sMh0MaP3Bb5WtuZ0uq2vLkyTPu3nvgmcUClM1mc7IsJen3UcZwfPc+h3cOMZEMQou8oMhXzG5vWCxWrBZr3nj0JkdHRyRJyu31DQ7FwcEB0+mOB69kIHs7u+X29ubv3Tu/tdH/ZjMWmqVww2xPmcNDNUz4lVLM53OWS8lTL3JHWZRd4xfYAGVZdg1BURSd3r+jeG/RM0NzGZqguq67B12Ip9luurvN0v/74LofnNEl/7Dpfj48VMLrOicZ8WFavC0Z2P4KE8nwb8JE/JvT+O2v7YIlnK8AWIgfgRirhAImNNPBdVEpRWwiSruhz283/NtHSU2axGRpBioShFxppjsH7O3KhKosauqq6bwYwnkM/z/8XTYaoPx0uyiKjrWxPbEGcRpNkqQ7NwH42S5iQsMXx/HfiV/cPm9hgrfNaNg+9+GcBWDJGEPpkdhgOPhNIKFrntmg5N3aaRtss6H7WWu76aCCjiZoesNXgIkNdS3qwI2sF1E3afc6YeqzPe3+O/ot6MCW8Lp1XWPbEmdlw0KJ7n21WqO1otfvM+j3SZLUT0v0K9ckrMltmcV8Pn8FpGu8Wdt4PKYsSxaLBYvF4pX3Ge79cB/LBtzg2AAvQQYQ7r0AKti86gyowucfjUY0TdMleiRJ0l3DcA4DePDNdR3OW1j3dV1396vW3kW5VeTrisv1bfd6FxfX3rQyZjDIKG0rZjCNyDDapqEoboniiDRJWC1zLDeUdYMbGf7mb2Z8eH/Enmnp9XqMd3ckMu/8jGdPn2KM0Abn83kH6oTrOBqNyHBEUcxnn33MyckJP/3gDd555x3apuXLL77kwRvvk6Ypp2enjMe7HB4ecn5+zt/8zd/w4MEDnj9/zt27d/n444/5/ve+w5tvvsnL58+pW8fnXz4mr1t+9fGnLBZzlImpW8vN5QWrVcnubkpR1Nws5qyaJVVdM+hnDFMBDJueplnlKFtSJaAjMeY0RmEjjXMG1bbESjNIE3qmB1FCYsAWK9bVkl5PoYzc+w8fPuzoZcKMGLBYLLi8vCTPc5598Tm2aXj/vfd4+MZbLPOKZy9Pmc8XjEZj3njjDabTKUMzZn9v75U9oKoqnj9/zrNnz9Ba8/73qo6OG4ApE0VeO1vwvQ8/5Oz0JcbIa9ze3rJcLrm+vmZ3d5fj42P29wWBn8/nFHndXcMQpVfkOYt5w/Vlztnp1bdtn789/oGPlZ/wbQPHoe4IssFA/VTeYd06y6A/4ObmmqossY1n6hVS0G/vRduMqk4a5qQpCnvTcCC+Hc4G/bN4qIjXTkmeF91rGKNfqQPEi0Yadudc19QK06DXTZQDiNo0YizWeo+Z2H/uOE7o9bSntAq9WBrm8Gz3bud+v6mqmqapMUZYCNZZVCsZ5zIVNJ03XqAYx/753dSNp3YDbBzqQ9MfaPC4DRCOUiwXS5/NHo4QVSeJGN0EO4qkUPcAa7/Xp9+XOLGwN/V6fZQ3oOvozc6JBDROfEyq8nWT4vb2tqurOvA+DkaGwuQovdTBGC2SCGNoWmn8kySmZ3oeIPf7ztagabqzI/talgl7RG3SovDMBrzB8MbvyNC25SvruZtWt9uyglAbhkFESBSnqzGtayiKtWcrGQaDDG1MFw2olEwHnVPQ4u8ID15okDhIed9OWd9cb1iNIEbVSitprBFWhNOuG/Y5Z8nzmtbXLKFOD7VzVJouZq7f6/lzD5EWI+4oSWmdpJ80jbAGrJUUCeNVE8kWQ6+TAm6dO639e0QMNsfjMXEckaUZsTHdZ1BIelJgeLh2wzx11lHmC7TGM0+lFgwM5vF40hlU70zl9fN8TV6scVYi+ZyzHdsDJ2s31L3hRrHWYquKyt/faZYQRYanT5+hjdBGdyZ75OtC5BtGUxQl61XeyXmEcTzEpBW1y7GtY0XOz/76r3hnxzFsbjBtyesPHpAOBnzx1TN+/Z9/xXxZy33V63FzeytJQ1VFVZUMBkPiOKJtLV9//TWXl5e8/dab/OQnP2SxvJUhm9KkWY/1WlJ+IhNT1y3PX7xkkRd89fgJ090pP//bv+Wnv/MT3n3/Pcoypygr+lmfr75+yvOXJ3z95BmD4YSmqZndXLNYFewcP6RsFaVzXJyf0jjI+kPSrOdX/avS3AqLjsUQL4o1kWtpANcKQ6Wf9bAYD9g19JMhmWlx+YLsIOPNt++Qpoq2rTAkKGWpaxnsNk3Ds6dPwTnee/c97hwd4qzl5OWJlzLCW2+9xWQyodfrs7u7R+Xjx4PW/uT0gi+/fMxgMCKKY5wGH0Qs0ifAKY2KE955732ur886MOnk9Izb60vKPGc8nPC9979Hv9fDNY6yKbo+SoAtS9OK3DIv1lxfn/+d5Lnt41sb/dDgBvpslmXddHBbtx6aim19dxzHnfW/c46qWMsmY8XwrizLjg6vtX5l2hMK/4XXt4bXC81Knuc0TcNgMODg4GBjTsdmw26ahvV63d3QoRkLVPww9Q1T90DxDJ83gAnh4RfopqEhD/KB8LrbsgHglYZ1m9oedMzbD6zFYtGBKuHfZOmrhoCBQh3Oc13XNHVLa1QHaoTzFICNsMmMB0PvmO710iYg6ZqmcbSN0Kqsj3Do9/vdRDU0+aHhXzcVzk8Nwu8Mk/9QDAFMp9OO8RHo/0ECEabYSqnuWgdwJ9zU25P3cH23m+QwRQ9FVABDtsGZMHEL56VDRLeKu/A7VqtVB7TUeU5blp0Zn9HGm7oE7XiLpSZSbDWMA9I07abQYfOLkwQT0V1Xa203eQ7rcdsjYpuNEq51WE9ScFrZtK2jtQ2omtY6yrKlbQt/HXwB5NdJmJ5GXaG4AY+2QbOiKDoALHw/TdPuXg1MlHAOw/uvm4KiLGiahtFoRK/X60CgPM/J12vJV58tJNJp63cbY3wax+acfJPJMxgMunMTKP3L5bK7dqEoNsZQFEX3s1kS4+qK5XLhkXwoGtG7Jp7W66zykyKNtYqyEADLOUvbQlW2NM2CKEkYTcTV9Fe/+hWnHy35V3/4Q944OiRRjs8/+4xf//rX5AU0LurW7Hg85sWLFwCMx2PquubFxTlNU9Pr9Xj/vff4znffJorgl7/+NV999QSSIffffIsXz5+BOuG1117j+PiYXq/Hv/23/5avv/6aN954ozM9Xa1WWKeoasvh4SGfP37C3t4e9x++ztnFFdc3t8zLmiTqkaUDShcx3dmnXZT0+oY00hhadGxoq4ZUG/ZGO4wyxWp+i44MyaBPGxvSdEC9aKEscaqlbWtc44gTQ6oiYm3oxTH70x3u3TXs7Ox0z9zhcMhsNuPy8pL5fE7btty9e483Hj1kNN4hrxtubm749a9/A07caN944w12JhN6VN0zJM9zbm5uePz4Mbe3tyRJwsOHD9nd3/eNj+p+5507d2TiawwDDzTMFy+Yz2as12uMMbz11lscHR11zyAxkF0xu11ydnbGZJp4FhUslkuePbugqWLu3r37bdvnb49/4COALZ1pahR1rKQAxFoX3Nvp9PG2lRSP/T0BjK2zwnLZAv837C3XGWoBosNWAoYr8LrWltC4gCLPV10hHscRURSzu7vbPce1VpKMU5YohHGGEip6koi5mHesI1+vAXmdbCARd6vlCussmfckaFrx0HBuI/MKz8ANAyxC+zJDaogMY4wUg0p1/kBaa0ScAGFU37ZigBz+W8zgfJ668tNFpXz0nvy71jdNTjnvESPfM37CLnRoSX2ZjHekbmgamiZI6SQrPrDEBPSwtI1lnRey1/nXlMatBufo9XuSMc+mZggUfb01sEiyfle7WWuJYtfp48fjMUopbmZzirLwrA7Z89tGfHh6mXfRVxFZJkOXpqlpW4sxcr632XFRHHdrSOowR1VtPKk6YKnz0BFmQ9hX27alqmuZyjvXkSiUNxyztpHpbNOy9lKSLEuRMth6oAC0cTikwdAm8syDjZ4ZNJEWRldV1rS1l8XFXn4ai9SrA5Fsu5EgKOWBBZk+h6l307TUVJSVrJPVctkBC0opLwURz6MsS1Eqop/FpGkmjbIW4Kwo5d5M4pjRcCQNtfcdUv7+0VqLVNg5ibYzYrQ9v53RtA37+7tb9Z4ABvObG25vrjtWSGARbO4Vx2g0lPot2gwb5/Mlo9GQ4XDEcDQSn48OjHHd8KUqym4YJ4+QzRAn9DVJkmCtQ+tI0isUKAPDYdZNsquq8cySTaM7m8/QcUWUjcjSHpEy/PwXf8vPzz7lf/enP+XOtE8Sx3zx+ef85V/9UoDOwYDFcom5OJfazkut4zhhPBp7ZptldzrltQf3ee/9d7m5veXrrz/nk08+4uHD12m/r/j4o8/Iej3u3n3AvQevcX55xb//D/+JFy+fc7C/x9GdO6RxzOOvvkZjMSbBWqmDW6X5J//iX3BycsHN5TmukchHHSU0dUyrEyb7R9500gOJLgB7il4WExnHKl+yVrCXJhgDqYOyWGIbJYNMDLjQXzhMU7GbGB7u7fPm60OyvqVt8y7GsCxbzi+uODs7wxjNdLrLvbvH7O7ucnUtdcrzFy+o/ODw6M4d39sI+9QCy9WS+XLJk2fPuLy+Ye/gkAcPHpH0Uu/folkXOfPFkp39PYxntI8nY25uLliXBYqWue93Hxzf5Wj/GGU30tqyKrk4O+fl8+fs7U9RCvJixe3NNbezG9brNcfHx3/Pzvm/0OgfHBx0jUgwegmT5W5KZ23X9AfK7bY2Wh7MijQdEXmX7eFw2D3Q+/1+N53ZpjSHIzRy241QaDJDk7gdZxGOQOsMjWcAK0ITG5p/oUA13cM1IJJZljEejxkMJEZsPp9350D0GRszwYA2hkYoUAy/OXUOzIdvTiZ7vR79fv8VLXzbbBDWbZQ/HHEcE5sUYrM5z2pjyLDdKCcojAq6sYqqFIMcrZTfgIKTv+nOQZqm3Llzp2vKw2F6qZgTtRvTwzDFDo13OOfhfQRAZ5u9EK5XoOJva6+3GQ/hv1erVSetCM1wKPyCDjr8jgBMbMsogG6tbh9hrYWG2DmHcQ1JupGnCENAKJmtLakLobAtcutpQtErE+goirrppXUVeWE7WnxgF4Q1Ea7x9mcOTX641zbXXKiggXKpjUPpxJ9LiTsUlJrOkC+smQCyBZBqm/oe7rPtBlsmQZv7PshKwiQqTNSEGbDg/OKF3yBHnfwlrKXwbIi943X4fdtmhOHZ0uv12NnZ6a7VarXi5uaGNE0Zj8fdWlh7c7vwzNgu/gOQkBiDU4Z+j87UJ1zz8NnquiYa9hj0UnHl9ffQer3u1k3TNFilsDQkCbzxne/yxgQODydAxZdffcnHH3/M66+/Tp4WLHJhSwwGA8bjcfe+r6+vqaqKt996m+GdA+bnz+n3eqxXa04ev+Djjz9GJ32+/OJLKjTrQnN5dfsKOLRer3ny5AnX19dMJhN2d3cZj8YSWaRjXpyeMZvNqeuKxJ//o+MjdkzM8+dnaJ0wHR3QZFOySYqJYiKjMLbCtTV5VeLKBf2oRds1WglbJBv0WWJY1yXTwYBBFDMrGlzcpz+cUOVLdtKESdJnN3XsjAbs7Ulk43K57Bg7t7cyJVBKcefOHQ4nE0aDPrP5kvlK6PRXV5dEUcT9+/c5vntMr9+nuF7QNMvOMC/4nPzu7/4u0+lUwDIjDtXhGRwoyC/9xN8YQ13VnJ+dAcI6mk6n7OzseE8GYUstFgtWq4LTs1PZQO/tsFqtOD9fcH52jdFD3n77bcajXX57/Nc7dnd3aK00E/JMqZnN5HkeQHHrXJcxL9PjWExQm7rb50RrLJT+4P8RRRFJmvrJtOhtm6bpGsqhjxYOk3I8iVkpPJtwixFmHbPZzL9OmKqXrNcrHBBHMQ7XTQqttT5X3HbygaJoOnYjbCj8ocmWdLSG5bLwzaZ5pUaSae2GYdn4bGthB/gMbqVQ1jusa00vS33NoKj0Jq5PAW1HbbdYu+2ho7aKcj/sMRFKp2KUGOLsAK3F3V1rgzitG/lS0nA6txnUuK0PPRj0w0Cd0KTaVmK0hsP+K4ODYKCm2DIvc1B5Gvsrcj8TdcCe1uKYnmU9v29VZNoPb7SSz922WNdia6l/6qqi9TXG9vAGRJZhos3gKoD/SkEUGW8i5hl29lVaP57qLnNe5w3GnH+PPRwt6/XSr0MFSszqbm6vUHj2pYo2E29lmEyGOBStRei+VcN8MccYiLUj0Rrb1pLi0CiaqgDnxA+mlTon1B5iKCZ6eZDUqTgxRFYj/rmiG7aulVjEzpfAmwWCBzYsi3Ltjak1ShlJb/DJAlmaYkxEXogU1DpHkso+0u/3yXo9rG2ZzW5x1qGN+CbMZjPy1YokTVguZoAkJADYtuGVwZ4KkktvCO6ktluvc9rWogeb+2lnZ8pqNWe5XBBFMWmakMXibzCb3QgA6BxxZDzI6NkeSqON1MHT3V0Gg4FIk1vPBtJSh6/zNWkSE8WybiaTnY7Nuq2/tiqiVSlGK3rUfOfBOzz4wQMe3BlCveLxk8f87K9/xvvvfcjj59ecXCzo93qMxxN2d6ecvnhOlmXs7+1xfX3F3bvH7O5M+PTTT5nujKmrks8+/5SXJ89pmpZnz17wr/+n/xlQ3N7MWa1zsv6I0WSHs8tLXp684GZ2y7Df5+DgkDfeeB3tHLSKr79+wtdfPaaoak4urri8uWVvZ4/l/BY3m2PSjJ3pHUqdgTLCNvbsIbl/fZ3Y5NTNipZWjLRNhDGKGMXe3gFt7WhrifO0Tq5NTMnQ5ez3Lfs7MQd7U+azc4yOMVFCXqxZzNdcnF/SNi2vv/4Wk9GEqiy4vr7unh+XFxdEcczrb7zBa6+99kqveX5+zun5OYu1sCN/8MMfcPfeayiMT3nQOM9Oskrup6fPnnH/wbHcjw5ubm9RNEynU/amYyb9EarR3vxRAKQiL5hdz8hXayZvPGK1XDBfzri+uaGuq86Y7+87vrXRD5ng32zgv9mIR1HEcCjmT6GJ2OiJ5KIZldG221QmuYGC2V5w3d6m7RpjOgOwADiE6K+wgYXm45vN83A47CjIodnZxNy5V5rvbzaXwVwwGP6Eie22XihQl7cnpuF3bVOTw1QU6ECB/5K2M7yXwIioSsnjDf8/mEdt+yO0zpI3dTfZEJRww1oI78VEqXeZB0WE1pY4RONoQ68nD13jHVy3z204r+HcFK1onbeb0tVq9QrjImxYVVV1ExOl1Ct6faCTTURbBc83G0+QgjxQvMM5Dhso0NG7AsASzlEAFQK7I0x7v3lsN73OOSJatDetaVtLVTUUpXfTNRFJEqFNRKsylHpVUxkajKIoWCwWOGpqT7sJnym8jwD8OOe6ZnAbKPmmHKJpavDUQgEYNFrHvgDbJFdoErnnttZ2KGZCgx4a4m/KTML63m7sw3kPPxfujVAI9noZjx49oqqqDpwIz4tt48uejr1b7yauatu8L4Bss9msk+IEEC+soyzLOu+HAAaEdZDnOXfu3Onug3VZkWCI4x6DQb+7PkIH3WgzS1oxBmoteRm8RGKSJOueBU5DUS2JVc5kMmB319C2FZ9+/inVas7v/d7vgVL8+1/9JXfuv96tvcVi0Z2Hk5MTrLW8/+H3+OrslMvLS5JJyhdffEG9vuE73/0ODTH9yQFnNzP+3b//S2azFVEUcXBwwHA4FAM7z5L54IMPPIDTMl+s+PVvPuH86pq4P2K9znl+csG6KFEXl2SVFOjDwQQ9nnJdiZGVJF44VCPXfjIa0RYpxq5ZL0ucgrKuuDk7pYz7DA/ukZqYWEekg4RGpbROk/YHJJRo2zAejLh7eIi113z11Vcd2+XlS8mjPzg4YDKZsLOzQ9Q2PsbnhrxsmM/nzBcLRuORn+bvSKyas5ydnXFyckJRFOzt7fHOO++QpmnHQur1elQ+YnWxWHTsnizLGO/siMN/UzOZ7JAkcQfEBM1+WEt5njOfz/nyiy9ZFzfsHw5ZraW4fu3BG9y7+xa2SSjylt8e//WOJIlQWrFaWYwzREoRRwlVVRIy3APNOTJCTw4mcEkSk6ZxNy3GbUnorKNpa9a3K2RCL0V4FIvpXTDkFNq3UNWbpmHtmWh0bvDSmqEs+Tr3jZYACv1Bn/HEA5VLAaXX6zV1U8t03YgW2mjTaeBjJc3gep2jtfgMSPNoOk1wHEMcKwb9vkz/V0tPP1Zi1uvlB8bXLMGFPYAKtrVCa7aW5WJJMJeTxkl3xsqxibq9TlgStgOt40QYYiiFUxumhdaauvIAi9epdnul34NkcNN0+57sCVL7pR4Y3qZoQ5A3WN/8boYG4VqEvSxJwv5m0R7klVrT0utl3SQ/1AStc7RWprLCCpA0m8DWUCpC5PSyd0zGY9b5mrKsXhmISHHvaPw+nmUZw6E8n1arlZgq+gl+YCgGerxMqoVFGMcRPeVFyFtaXJAUGocjigyxX+ui5RYdvnXWm/gJqLJYLmjb4EWgvE67xNkG2hrtWplsB618AInSmFTGrIQ8cGnVW7/eBcxZr33OuVLddTFqkx+vO7ZLYCz6eMoAzhDc1Q29wZDQ6DnnSKwfollH68GRsirIi3W3t0r/IaBVv9+jl2VY28p6V7BerzpAzPQyjNmnrErP/IlFFhNFjMZjcI7VWhies9sZ89kclDCKmkakLGVZUxQVZjoFZQVIcGLouV7lLBdyr2ZZxnRHAOEir3DIe9jd3cVEEWUh6VpxHHN4eCi1kq3BiRmfRIpKLOh4MhFGW9VQtdBUJXWzIo3HHO5PaeoltihZLlb8y3/5r6gbxV/+/DOm07tYF5gQGvHicJyfn3F9c80Pf/h9fvXLXzCf36IY8tFvfsNyPed3f+d3uL65QWlDXVv++q9+xvX1Lcvlmr2DOxwc3aWqK4qiIstq7r59j+F4RJ4XzK6vuD6/4W/+9hfs33tIHfX45KNPSZM+s4srqnxJmmUs1znx0KCTHkkUE2vQW+CWREE2fjBT0TYVOsqYrRZYBaPRDr1sgBmkKGXAGVqnaeqKqG3IVIRxOdOdKWdnJ5y8fMzu7j69/hAlAaBM9/c4PLgjOfTWUXk5eFUVnJycsFytGPT7vP7okQeXLLe3N8xmc56/eE7jLHsHBzx89Ig4TanLEpRmMBxQVTXL5Zyz8zMUYqY4GA5RWjObz6nKEqM149EOu9MJ/SwhMxlRGrNerP3QacX1ldRSi+Wcu/fvApa6Kbh/7x5Hx0dkacpsPvt7985vbfTPzs66oj8gSpPJpGtkAg0qTN60UgyGw45quzkUbbPyepwNvSw03UmSSGb1FjIbmsjlctk1SGEzCDS9bSDim01ROLYn+uOxUG+3J/qwMfraNhILTXp4T2H6t90ABXAiTAWsFYOmIBkIWt3QLISGJLyPcGyb2AW683Cw6811VNewbzvP13WNiWOGw+ErAMG2Xj48KPN1QRvJZpwmEnM4n82o65KmbsiLnLZtmExG9Pt9yrLsAA7YgBBaa0ii7v2Gvw/nchscCNOIYLK4TZkP09TQhAYtevj5bflF0zSdlrz2Ttpaa4bD4aaxDROMLfAB6ICD8NW27d859wEgCJ+jLEucrUFZyT72VPjW1t06EhlDjDN9NsgjXYETrrMxhqZVaLMBH8K6D0e4tuE1wrX8u2AZONcClqYpqeuGsipfeV3jM3etd/0M91ccx901CBKMsKaDx0VZlt00Pvy7MEXYBinCuh76+1wMIhtW+ayj/W9LMMI6BFhe3aDYSEzCswUErBkOhwRpT7iO29KFcK2qqurkB9t62r29PfI85/r6mp2dHXZ2puhaJm9xElPkBU0j929wpzZRROn1iwEkK8uKsiwA5emILUVdUdRLkqRhtVa43RHz+Zz1es2j+/d54803+ff//j9QFAXvvCNOrADX19dYa3n+/DlHR0dYa7m6uvKxLSdUN/C/+f67vPngOyyXS04vb5nu7jI5uMMXX59yeXkLiDbstdde47PPPuPOnTt8/fXXrNdrfv3rX3P5fMBsseTjTz8nyQa8/s5UHOr7I56+eMl//Iu/5Hiww+HBfeIoAR2xu7vHqpLCXNHinMY2jmK1hrqkaXOWnsWkej3yomDdKHqhqbGBrujASuGgNMTG0Esz4ijixYsXVFVFr9frEhUODw+ZTqckSeLXXwBJK07PzvmLv/grnj97zu7BIcfHx/QHfeazGcXNGW3bcnR01DGtwvOmY3WguLq54fb2lqurK6IoYmdnh9FohE4STr/8kvlsxpsP74j56Bbtua7rDgy8urri2bMzPvvsM6Kk4cHDfe7d3+fhww/Y2z3EWcVyndM2/+U957fH/zrHYiXxTGVZiWzNs9BGoxHX1zcUhegl2zDNN5I3nmUpxmha60F4r19WSvspre3AUgj+MjFKeUq7UuIPgExDgx5Xay1mcM6J3h3VUYCVN6NrK3m2t01DVYtx6nQ6RRtDr9/rGASyv4s+umMDanFaH09icD5FAD9ZF9a37H3IszxoeEUWpVnnQlFdLpddStBkMpFnut9jpaGWOqMsik6uFpzCZZrWismbUl0BHoDZNngEIXT10XjSgeyBede0jXfct1R15c2zNvulUMKtB1C8kWDTkK/W0gBvUavDeQ9xWEFyEWqLANoH0CWAHkEnPx5NIBjT+Rz3+XyJtS2NlWg3mZwPQDmqtoLGT/L91Lf0/g4LX5tuJ02FNWR9fF94j2XlG/PYMIpG3l0eIlUhUo24q2PCZwkaf9fK62mjGQ4HSKMfmHfe6V55uYbf/0NTJyCJj7/2PgUoCSoc9PtoZzE4tPIyVevNHbW456+LoosOVkoAtKqusBZPXQewHmxzPkPeen8Gn7yjJX66qnOsz6gPAzzjUxeCjtnalvPzU5QKxruRxDhGcQdaOedBAv/Zh8MBOzs7xLGW9AMLyin/M3Kv7uxMfLpFS9vIPXlzcwMO4ljWu9G6k5ns7u6K/h7XPRuKPO+GjMqDcIulDO36PWF/ZFmPNMnQWhzUZ/M5ZXHOzs4OaZpQ1cVmLTtFL+uTpnL9cI407aGUsFzLqiBfCwiSpAJGC0op4GEaa/pxjGsrXKvJizUXz5/z6I3XmY53+A9/8TNub275/T/4J9y9d5fz60suLs9JtGK5WACO9959h9PTE7I04ez0hEH2kL3dKT/+yQ+ZL2TgcnjnLtbBJ598gXOaOOnz2sNHfP8HP+LJ86d8OBnz2WefsFqv+M1vfsOL54+5PDvl+nKGdYY9Z9Fo9qZ7nLw855c//xmDnub1t99ld28Ps7tPToprG2hqcJaQvCAlhsMoBy7U5n1qKxIhhaFtHHVVeCBL4zBEWhG5FqUbDvempJHh2fOXREae6U1VkfUSdvcPUDoi8oZ4rtn0Di9PTviP//E/8vLlS7Ksx4MHD4ijSGIIixqtFXv7+2T9HtPdXXreI+Z2fsvhwRE4x+18we31jKvrGwb9PuPRyK99aOoW5xTTnSm70xFpIo7pTdtSlTWL5ZK6blgu57x4+ZKTk5dEccTl5RX7B3vcvXuf/f19kjhjsVgxu/37436/tdEPHzg0H8vlksVi0ZnmSYPWkiRRdwOszucdVavjUAH5SmhGzlmSJGU0HJJmGVmWEieGpi0pipU3ftrE3QyGQ6LI+OK7pKlrH++icS5G64QkjTrkttMStZKFGAz90jQVp8mtTU9rzc7OTjeZ3CDKpgM3vjk93p5cb2usga5QDLSggGoHUGBbE77R0pmugQkPQGMMTS0NZGjgtyf2XdNj287MMLx2aHhlaimU+lhH2LalKCry9YKqEhZAbGJ6w5ix8lQrapJeH2cMyp9nmWAnnd4sRPFop9BOYdCMhyNhXeQV82IuuqCdEdp5dkFT0+K6xiqNI5JeRqLFUbauq67Qubm66Gh3dqtJDWBAaCSDZEAp1U17t48AGgTvhNCEWicuy8HgKIoiRn05T23bYtaOurBoNl4TURQRp0JDlimIZw+0i420xBgiG1FUc5q6JopjhsOB6On9mgyN9TZwFQCOONqYuYT3HzbKDZhgiWIpotLEkMQx8/mcylqJFUliIhMRaYOKLbGWf6uUpSkXKBsR64woErDHOtEeYxW0mrrMqbzJT1hDcTLAtp5dYCTftywrnFvR1IJka2Op6qIDpcJzY5sNUBYl9XLdXbvtzx/MqMRoRO5noYxuGDdRHHeu/cJOiDvWSIiu2y6U5vM5+WqFdqITHQwGRJHBqpayqWlcRGVLKBUzr4tN04Q0zRgOB/R6mddAimYf17I/7jN0S9rFFcuLOdgZbz68x/HxPT77+jm//uo5ZWOZTCYdAyhNU/72b/+WFy9e8Od//uccHR0xm98wfD4nrRb8s3/2L7h7MOX0xRPmyxV37z8iysZUDt588y1GoyuqquKf//N/zqNHj/jyyy87sGqxWDAZj2h1xM1yTdofEac91uuKfF1hYsPt1ZzD3Ttkg4xmEHG6uKZa16Q7Db3xHtpoWltR6zWogp7SNFSUTUWNQicDsuGEg2HEolU0q5xbW9BXhtnymvlqzWS8Q1utmWSayd6Isljz9NmK5vace/fuAXST/Dt37nQShJubG1zdoByikzu/5OmzZ0RGs787JY005WrBxcUZzeqG47vHjCc7Qrs2EVZrTq6umM+X7B7fo24hX9eURUNVNV2sp+iGK+JY8eC1e0RRuRXHKUDD7e2Cq6vLDoA5Obng9Ow5d+/ts7Mz5u7dY6bTXYyOqWqFbeHF8zN++L+0gf72+Ac71isxG2pb0SYLQ7D1xo5lp9EPsXIyOXbSjCifnW59dJ7MO70JmDSyo9EIYwyr1dJPriMiE/nG0xvrsjHXCk2dQiLbIhMRJz7P3dc9bdPgrBjH9SJx3e71xSQ2DCyapqHIc5TS7OxMNjK9Vl6/18tEduQQ8zrnWBUy5RdPCk3d1MSxJK+s1ysvO9hM9NNUDGG1EjO6SGswEvsUJsm9fl9c+NvgJyANRhxJ5BVbTSiRRPUFUF7qoJrSmxEuPWsxPL9x8jmcp2mjZJJfVbXEmaYpLtmi3DtHEiV+f5D0hO68OEk+kPt3TTBQU0pvpANKfBWa2hsZphlaGb93bZKJrINhfyxO7JFM8ZtGPo9DstUdTcc6kN+Dl2AYRsMBWdYDnNfjyvmRfb4WUIHNWsjSPloryqoEh081YFubIY2vktpZqwhnDM46UpVijBiUlaX4yFRVSVU1KBUAKNU1pk3TkBcFKEO/32M4FFbtYrGkrGv5zAq0ckSevdC0DSaSfd5o5VMJ6Jrq2g8blFJYV2ObMEiTWqOqxb08fCCtFFGaeE+IiLZtqOuG2nsBpGkk/g8oHN7vqm2pqhrrTRqdq7FrMaVLM88csRvG53Ixx9qWyXiM0oq2luc/nvEgQ6IKpWTSO/eTT600dV0R+To3yHsUivFkxHAwxPjhmVaKyPsKyVAlJHr4y4YYW66WS1bLFc7hGYg9+v2BAOX5in4/wyEAE8qSVxVNLRT+NI39eQ4gifiM4Nmwi/miM8PUzsl1ay3rxQK7O+X0xQvuHt1hOBlzu5jz9ZNnoDSTnQnO4YcPlv/wb/4tL558xX//f/w/kKYxZZFDU5KvF7z15usc3jng7OKMly9P+N6H36dpHUob3n33Xb7++jFvvrXLn/3Tf8Y7777H//n/+n/h/v271LVEEa/zFffuHnKpFEVZkmUDHj9+wuTgmEGvD9ZydHDA3t6QpJdwdXNN605pzJBEa3pGkXr2Ui8bdBKXus7BNSRxhFHG097Dc7mibsRjoqwaHIZ+GuF0w9IuaPYjTl5cUKwLjo/3GfQHOASUGfT7OGXQOvJD1hVVWXByesLXX33FL3/xS1Dwve99l8lE2H8XFxdUdcO9u/fY72UkaUqSZbTWUlYVq+WK0RsjirwgX+dUdUVdV+xM90S+jqOtK+JIMRxm9PsxvV6KUo6mLCnKmipvuLm94dnz5zx//pTL83MuLi+5/+Aeb7zxBsfHd+RecIoib5jPVtzezP/evfNbG/0wRQ402lC0y+bT81nlJdaVOOcdjyOwHuHd1otNd4ckSdo1tKPRUBqryGEimbIprWiLmnW+ydNu5psc7zSL6A/6HeVLaw1ampLlauMOHmjJOHH3Xy6XXF5edgZ8gcacpilXV1evTMC3ddzb0WDbLuPhZ7anzsFobjwev6KXC2ZmAQAITac8HKMONAgMiTCxF+286LoDIBAYFOF3NlbM+EKM17aZYWAkDIdDiqYQV33TYvoJg2GfLPPTaKsFmLENdZNTOIvpZQzGMt2N/NS9qirWeY5pHLoFrEJb0f43Rd3RbFIV06iWm/lNd06dc+RV/op2H8BUJalv/MqyZLlcdhRcATMsWRKhvTnctoY8nMcgoxADtU1zH8dxp+UOYEzbNqALfy0khkOkA4Z+X6bTSjuSXh+jk+68K62JsgiahrYsqZuStm3Q0RIdB3S3ompkExsM+vR6EcoURCah1xt1kZJab+LfNg21Q7XLDqEPWnIpRoKzvETuaJPg6oq6kr9TbUOkFMo2uNrQtoZIt8TakCW+yELQaFoFVQm6xJgRipi6LrBVicFhlNcORkHfp0n6U5rGdlpVrQ0TLXQ9E0X0ez20scSN65r3wEwJEpCw3nf6QxLfYAXmS5DqhOa8bStM5Dq2TmsVxhqsi3BOQLv+IKGuZLMM3hvbsYvh9yZpJJtAXVOyRkUZvX7STVkCM0kmVw5bNGL+ojMqX4jEsSGOBxjVMo5z9HzFVBfsRg27seLOzoB1UfDFyyu+vq6Z7B12AF0AIA4PD7l79273GXW95i633P/Ruxz2Y67PL/j8y+dcz1Y0esx0P8Gh+PC73+dmJln0Dx484KOPPuoASIlYmXL3/n2en55ydrsijntE2ZjhaJfLq5xIx/TjMZMeVFONOtrBjPsMoxFVW7FYntOoloaSVpdENCS5rL9lVVJHCUk2QCc9YqsYG9E2x8aQJBkTrVDNiqi8oK8sOq+JWo2mz3q95nBnh+Fw2E3eR6MRbdt2175pGuaLNUVe8dWzE5bLpfcXqLF1ST6/ZnF1imlK9g53OD7eI4ozVkVFacWgZmVhcvc+2f4dLm9z+r0dBv0J89kSpcQNOUoMTVOSZZq2rbGtIl8LCNM2Dbc3S5bLnJOXF8xmMybjPaqq4c7RlB//5EN+8MPvonTrKcuK5bIkX8PZ6c23bZ+/Pf6Bj7qWfbltZRJodOSdhjc0cAcS7WbFsGxDq5eGxfh9eTTakalbG2RLdEBiv7cxBi383m29KV2QmgVpoTGGsZeVBUB/na/keaQ2prEQwFvFYr5gPp8zm827ekgm2w3X17fdPh8GDqEWiuOYyWRMr9fvJFChsdTaePbbomuiImNQUWC0ibN22/o8e099t0oTGrdAjw6f01qRIHQTV7XR5mslemijjQCobUuR5zhPzw/6VGkeLcazqOREeF2/0kTabP4kGBxC27SsV0thjCmw/tpFSdolF3Taf6VfMcRr6lqkGUCkvRSwaWis+Do4p6grof8H1hZoTCzUdWvFDd7Rgq4xWtZGL8t8Qyo1zWjQ31DT/bpQOsQ3ZjTezyGKI0D8kYp8RdOERlYYBHKNhaIRIuZMJBLBKDJoglzToI3qBlpt2/h22nj2XXDbDywHSZ5RShF5dovWiul0hzhOWK2k5ljOhd1pwwDC1l6usGFtCp1l+74CHQW/BQ+8WCfPV9d6loHCaSVgl1ZEUULTyHnoDwTgaJrS211oUDIAcG3DoNfbYtl4XwClMXEEfv3BlgTFWmnYoxhrIpLEdsOVcA85ZzHaMJ3u+dhE1zFL27alnM1AaZI0JU17zJcr1quVl9UIW3k7ZjtNEsajPta2uFZqChl8GED79eVNEONY9iPv7YFz3mcpIvP+DhLx6WiqEmsbP5xKRUqwXKO1EV8qo6nbGuoG4yxNlWPUDnu7U/qDAWXd8uXTp8zWOcf37rFerf0AD25m1+zvTnn39T9iNb+lTWUIWFcFf/onf8RgkHF68oLzyys++fgLJtM9+sMJg8HI+9JMqKqGu3fv8otf/m3nPTLZGfPawwco13Jxcc75+TlZr4eJYu7cOWa+bhgPd5hOpthiSa8f0R+P0TtjbpRPmSoKprsTqGsWNzNsz2JiQ0tB1axQqmY0HBHHO6CN+IZYSQTpGFDK+zCUDbWqMIkl1tDkOfu7e+zu7JL1+rQoTJRRVhXaxIDEws9nt9RVycXlOWVZ0FqJi2yammfPnwn4ZhSvHT3g+O6x1JZVhURd1tzeLplO98iyPrfXN2gTs7+35yUaFVGkwVmaqiKNDXs7ExorA0CtIF8tWS/W5MuSr7/4mvliwc7uDlkv5fnJc956+22Ojo4AR5lXws6x0DaK589P/96981sb/TAdDlP8YEK3TeWOIsSF3Aq6HlBFrYNBlvxcEg9pmraL2wsT9UAl3r4hxcjGdpOr0ACHRinQhwMlO0zNw79XSoHLaWrVUX3btu2cMINmPtD/+/0+/X6/Q0GD70DQA4ep8TaNfrFYdCDIcDjsHNe/6Z4f2AJhIzDGdO8xFAehcQ8IpRiXDdBaHnThPW77H8RxDFqhvQPsfD7vzgvQueYvl0vJSFUQ4nXSVCiDddX4GAx5yMeJOHEmsS9ifBmhlSJNPLIfV7RV3X0GYzRVVSCuun5CjcWYfANIBNmBfbXR11bjkrRr6sJUffuw1tLWladMbs5rML8JBUm4/uv1muVy2TWd29p1GReIrtN41N95Y5pFu2K5XOOsJYkHpGm/A0uiKHolmrGbYuRyPygtG0bbtCRpwmqV09TidtrvCRNgO1khTVNGo1FHO67KgiqvUZ1hzYaGCJ5t4U10QmHatk3H5gjXHE8/n8+vPagUMZ6MGQ2HxGmPuq7Iy4qiqlmua5RKCPT80JBve0AYYyidTDRQPlNYO9q2oqkLlquCy6uGpq1wbuPqv33eQNawQkwTa//9cH99UxaglCVOos7jIKRNhCSAXq8nLI/eTjfB+abzdFhDbdsSxxvwK+jlg1limqa+2dNUVdMBckVRdOaYAVRSWommMc8Z7PR5+PCY3Vh09x999ZKXlwIoDQ76FEXBfD7vzu14POaTTz7hF7/4BUdHR9w/GBPVDe++9Q4vT874+LPPefrilPsP32Q82WG+WLLOS95+/w69qsd7773Her3m4uKC4XCI1pqXL19ydnbGF19+Qd3UZL0+v/97/4jvf/gj6try/OkLDg92hUlRVpAonJXGxsSGOEppqlbc5dfXWF2Rakub1+KHUbe01q9BJa7aOorp9QYM0j7rxZIkSXjw4AHzy1MiW6Kalkg7UqOI45Sjo0EHuoXrFpg3VVVxeXnJ+dk1WkccHx93bJfwbNnzcXq7u7vcv7+HiWIxh2oaULJnnJ+fYdFcnJ9j15qHx290TKrJzkSmbdbimvaV+ypIwpbLJY8fP6ZpGnZ2drh7965nAUG//xN+8pMfMhgMWK5mrNc569WatkppW82TJ0++bfv87fEPfDjftNdN3WVsC9vISOyUMTg/bZU9odlMyLwJWgAEy6L21G0rmlU2Lt5iYCZTtNa2nJ/PxTT4G+9GkjkcL16+7NhhIW8d8PX8Rj8e9qjVKmc2k+lLr9frvh/qrf39/e7ZaG3r2QstSRwzHI1I09RrzQVYDgCDALGKNM0Cyx7nBBhcrbbNT8M0VBHHCYPBEK00VfBh8fubViJ56lhllq6ue+VMOGEbJElCrz/o3k+7JaFzdc3N9TVKa3pZnyiKvaFZhtFaUg0Um0GMUvQHAy+PTD0lX/aV1ras1+KPkKUJ4KjqumP9pWki9U3j92tnKarcn2O5ME1TU1Uhc1s8b2zjfIMcvG0A12KdRjsfV6eUNOf+eiqUMEw9VVx31H1fr7QtVV0BlrzIca4RhoIKsjzPClHhf0Rp3rYN8/kapSRHPdKyz40nI0BYdW3byOcoG783G7QK1HZLW/v6q6l9kkREHCeUZeXN5gQsGY5GaIbgrJdYNP6rpawk8UC2AQ1qw1B0bY31k+yiyL03gAdfjMIqMXtsSgHfr64r740wpChyX6/JfaS9QZpSmjhKqarCeyzERFHiIxYVRVV2rL4geVSeOfzy5UuaRtgaSSxSk1DP9Pu9jsUVhkjL1YKhH+ItFotuMNc0DS9PTjzjYJMSNZvNtqb54pG0WiXgHJPxiMj/fK/XRyHxeJ6c4q+zwqnADAqpTwE8lEg9pSBfRR4waajKBhN5fwMTmJANlhZDi60L7j08YG93wnBvwGqZ8/TZM05OTjk7O+ft9+4y2ZmIYXWVEyfCXPjyyy9wbc14kLG3t8vN7S2vP3zI+ekpn3z2Kc9evOA73/uQnZ0pL08vWK9zPnj/O4xGE1or/caTx0+8DKjl7OyMv/6rHDGEFonSn/3jf8S7737Acl3x//4f/39MxnscHRzQlnOskmFwx/3w8Zkf/eY35PM5R4d3efH8BYPRAGNKdLRCJRViYaIBI2wKLf5JWmsi7ftBNNQ5cVOTGMUgi2ltzNGdXfZ2d0iyHq1TNBb5ahpmt3POLy64vb7i5uaGO4cHRN4Ucu2jnx88eEBZlrzzzjtMJlNhPzXCHKmrmtubGVc3cw6jlC8+/4KqanjttUdMdvd48uQZcZyAU9hGzD6tB+uU3yfW6zWzmxuur27IlxWT6Q4ffOc7ZFnKr379K378kx/zk9/5HS/pFeDatkr2AKv49JMv/t6981sb/dvbW2CjaQ/F2najX9cFVVFLjmeUoI3xkSRWtBNOqFlni5uOMh4a7W1TtgAkBN17uJlDQxQKwNCwh+Y+FOLfpMi3jaAcgVEQmoUO+fcP4tFo1Dn0h58LBWHQy2utO0f98BWMXALLYb1ed7r0gPiFr/Cw2Y7WC589aFjD34fPuVpJdEtoZIPRWZiWlmVJ3bZQmI4Ku32tOp1X21IWYpQSxwn9gUzMRYPn43+wWNeyWlT0sh62Fj1Unud+4inOqiYyJGhPjaq6zzqdThEdXKCkV5SLU8kl3/IW2NZtA7QuZa3j7r0GUCPo3Nu2Jes1mJ7qrm0ARsKEY9s4Lqyl0JCHhm9D6QaHgCFGR92G6JyiKjfnzbYldW1fud7BhyA0s2maEHlEsG1bJuOpoK8oVqslZVkxny/J8wbbqo5x0ev1fN5r/Ap9vZcNOjfpagtQ2J7oS0GliJOENElI4l6nJU9ioZ2L/tx25nlxmoGOyIucIi86QA0WOGsImsbtyLtteUmlahrrc6C3KPRoiDOLqlsiq1Gq3wFvgaUSrn247j0PHgQZxXA4fKUpl2fA2n8musY9eAgkScJ6vSaKIoaDIAVyXcMeAKBgCKiUFSBSbUwtge4zBt+NOB507zuc97CuRK/ZJzaOZnFNmqbs7e8zHo25fvk5X3zxBa1LefToEZ+9uERpSRUZDoedwRuIt8n5+Tl/+7d/y8dRy9sHBpP0Ob+6ZrSzy/s7B/zwJ7/Dg0dvcnJxxWq95vjuXd58a9DF0u3s7HSA4/HxMW+99RY/+9lfs7+7wx/94R/zvQ+/T11Z/vOnH5HFEcNej9n1JYnRRMMhLu1hdCyOzFGGU5aybWioIWrIItjrtyKjuLzuNKYKxWQyQZmYqm5YrFbEUURdVFSrOdPJiEm2A9WKB3f2ePPhMWnk0O6mA+Hatu2ek8+ePePq6gqtNYeHB+zuHhBFEV999ZXXOWaennbMcDhkb2+KpmS1XlFWYkZ0cTvnyfOXzFcFJs7Ien2mvUN6/R51XbJar+n1U6xtWS+XVHVBXTdUVYnyzcqLFy+4vLykbVv29vZ4/fXXSdOUk5MTev0+d4726ff7zGYzHDV1ZdEq4/Lmhs8+ec4vfvHLb9s+f3v8Ax9FIXucGJDKBPTO0R0s2lN86WjBoTnVWnlNtjxjVqsFzinJh3ZhCmRIk4SDgwMA0jRjtVpycXlDVTVdMy567JQ49qazWG/aF2JBa8Q9vsUYmVqvVqV/ximhGvgjyzagZdB+O+c6sHUj8zPUXhblELC0KIouli/IDWUvVLRNy6pz6w+N6yZKLzS7o9FYTMjihF5v8Mr+2oETvgaQCXoA2sNnEINBZ8UPJvzb5Wrl97GGpm1IYolDrZuaxXwh183rsbMsYzQabV2rEFnnvVjyit3dKc42zBcL6rrxn1to5qExFjW+TESVhrYNHjMNjpbW1pTVEutaqrrAhkm4c6AMLvdFMwGU1mgTe314glaxbzj9cEFFXpUaUlnajq3RC5NoL/JoW0lusNabGNN6U7pIfqe1bMoiYVc4q2jdhjXa7/WIjKYoc9YnK1oriQ2iposZjQT8rerKT9cNxkE6lGSs6+trANbLFc4tBbT1g58oisjSlDg2rNcrlssZWisiZTylXmNthdYQxxGgKYpcGn80yukg+8cpMV9orUNHEb2e7Mn4IWAvSzFas1ouRRLg2Wlt24IyXuagUSoWud1wLDWzKQVIcI7FeiX3nK8llFb0e71u/cSxMDLWvm4fDge4ICFtbTdQkOuoyNcbSegmPUMxm912clKJn3OUpTffVCLXMUbT90kVyrM+hEmiUMp4wNmnSyjnJRny+uPxkOVyRVFUnr3bdN+LopgkibGupW0alMYPprTkxyuFihy2KGnqNceHr+Haimcnzzk/v2ZVWcajfXb3DkmSmKrOme5Oaa5bIqO5e/eYJ8Wczz7+gny1JE1j7t9/wHgy4eTlSw4OD3nrnXd569330FFC1h+hlCFKUl6/e5/xzpR8vebh5UNOTk+oi5If//BHTCYjfv63P2M4GPHHf/AH/PBHP2GxWHPy4gV70wlVvubls6coHFm/j4tSqrolypRcf+M4PDjCTXeJVcxwsEOUGFKz5vb2lqJacXj0GsVaEkXEqFN8J7RSNFVNWdW0ruVo2mdkMt45GLE30uweDzBRi0MkPQ5Zb3VVcXZ5xacffcJwOOTevbu89957xHHEZx9/jDEJ41HKu+++R5ZlvPnmm0ynU2+s6Gvcuma+WPD1119zeT3Dto579x8wGU8Zj3fJcxkg7e2PUVjquqEocpqypLUNWlnyfMn1xRmL+Zz1Kufu8X1ef/0NhoMBz589I01j3nnnLYzxUjQ0ZVUzmy24vp7x5MlTfvPrj/7evfNbG/1AKws03EDDDJuBfD+i1wsPaymqB95BPM9zib9rqm7DmU6nHBwcdEyBbaO5bVp2OLqb0tPbgq5+WxYAdDF7XUya1RgfjxJQuTDZC01X0LyHjS1M9ALqHzbGMOXbuMS2nS4/yzL6/T5JknB4eAi8GlUWJu0h6mk7cz00jeEzBknAcrmkbTRp2usc5WezWdeIdJFltsW28j4Dmh1eM4AHzjn0WAqhoPGOI806X8mm6x/OzlpoHa41VG3Fer2WDFcFTV3TIuh+FCdY19DaiqYRitblVdU1w9ZabFNi85fyurhuE9yUOXKYJOniTbblCdueCdpERFG9ee2OhrUx4gtASFh/4dqFCXpYr6JDTIjjrNOJCyJX41yNMTKVUBice9UdfttvAWQjX63mfl2mpElKHAvrIU3EvGy1WlHkZbeRB4rY1dXVK2704OhHr+r2rXWC5EevGkK2bYtrNY0VfVIcS7ayc458XWFdSV5KtE+apjgd0ypNNhiBidGxUB+TKCFSUVeghfvqm6BaUVwJoo8CYtAxqEhc6WON0g5chNGb+L5g3Bn+O9BQR3sH3b0dWCnBjKmua8+OGDEYiLY6z/Mu5i405+FQRJRl9UoShlCjou53BxlAAANGo1F3fwbGgUQBqo7VEAqBbdlHHMf0soiRyRklUrienJzw9a9/w97ulLtvfsBvnlxSVRXHR8edj0Tw/zg/P+/Wc5Ik9DLN6cULDu+uOLx7nzt3HzBbrrn74BG94YRHoylp1uPly5dcXV0Tx5LLfXp6yoMHD/j1rz/i937vdyiKgunODh+8/yY//OGHuNby9PlTzk9fMOilzG8uaauC8aDPybqksYrlQqONRUcFRW2x2qFT8c6IIstk4DOi/SRtOp3SoLFKdxO6OJb1nkWG3aM9fvzdt2kXV6yuTzgYZxyOexjVMl+Jr0MA7iS2btUZfd67d4+dnX0ik3B1dcVnn33GYrHg0aNH/OQnPyFJki5q0Tlxw1+uCs6vbji7umW8M+XRm+9w9/5r7O0f0Czg7PSMqspJk4T9gwOcg/liTlUVFEXOer3k5PKC29tbgvvxZDJhb2+POI47uYUYqY69HwzkecH11S031yXzm4bFQmIff3v81ztuboK21pCkPXrDAYWnYtvWdfrmxPuyTMZDwLJeL6mbShzslEh+0lR076PRmH6vj/FeNFprrq6uuL6+pihKMaHrDkccayAWCqcHfrM49ZO+GK0MwTDYOTHps74nFX11yG1na1/aTPSzLO2SR8JAQ7TtqnvWOedYLj2IrXSXZy9Ap2F/f59AYRcKvaKqNuC3c5b1Ou9qHYVItrZrpLAPFb72kym3eCMpJXvuxcWF9w0wmz3IN271FrPRWonEOjw88PIB24G/sp9u/IVMpDFGYTRgLUkSeSZHS9MUWBue90EyJ+e2tQHcDvHAcTeEcaqgbK9RSqjvxlN8gyzeKWnKnVM4rxVXiDmgk/+irluaJvJ7kZhAist3kHzK6LbIfQKEdj6WrxPfyxDBOu83JXWOVl4aaOJX6gvDxrAOKxND0BgTE0W6M2HG+aSfuiaJxbCtPxp1TFSlFDs7O8Jm84C9QgCx3PspzGYzady1XAvnLKWFjdZe9NBlUaG0pt8boJSmdQ2tEzYfBuJIo1SKJqK1DetVLkwaZVBaZAkSyxdJooSSZARrWxzGry0xP1ZKs79/gFJ43bwfzCwab3So0GhMyFxHpAvBY0BYLcoPy1QnkwHX/d3+3i6R7wOSJBHzZR1SE9qO/Zckkm2/8Cw9fzk9ICJg4WIxZ9k2ZGmPXtrHWhleKuQ9SB3c0tQ1SjuKckwv69Hv9X19qLp1bTwoICCBAiWAyMsTYQ7FSQKqph+V3NsZEUfiEbDORWbwx3/yx/z1z/8z8/mcd98f4BAPh93phMViQV4WRElKnGasVisWq5xf/upX9AZ9fvSjH+OwrNY5d+4cS3PflxSEq+trLq4umS8XDAYjfvmff814POGjj37Fu++9S5ok3Llzh+9+8D7f/8H3Wc7nnJ9fUqzXjPo9ytqDb66lrBoqV7HMZ8ypaHSffpKRak2CAWOIooQogsjVGFuJTFuJdAu9ee6EuzaJNft7R7z9xkNsMSOuFuz3Hf2sJo4k4aHx96nIKCw3N1c8e/qYo6ND3nzrTcajHWa3t9xc3/DkyTOauubw7jHf+953uXPnkDRJBXQopN8o8oKz81NuZrdEccx3v/sB+wfH3L17n7K0nJycSToLst6FMVPhrPh+NG3F6clLrq/OUdYyHg25f+8BR3eOybI+y8WM29kli8UtR3feoCxyCieeUrPbOdfXc26ulsxuV7Tt300UC8e3NvrB2XQ7zi405gFRi6KIJE48RcX5G0n2VK1i0kQRmZQ4TrvN4/z8vGtuw80UHmpBuxkatKC9zrKM2tOzQixZKM43aNyGDo+SOIxAqw+vFZDywCwIjVzYaAPlPbzm9qRvu/kPDcp2FnmgjG83bG3bdmBDQPBD3FsURT6fWRoBMQyL/HuUSxMQz+04wPC+nFasazEh2mYLgFACw6ZtWk3laUQRCtqGxDjqWgwQi3KNbSGOxjRKpqL9JEZlySayr6zEQ6Ft/eSiJUkMSRKzWCy3ABOHdg3jQb9r7DvJQ9OIbstPDyqC26575boYY7rkBqcUs3Xeff4wvdiOjtteL2FyGCb+m2JC/mwbRdt4I6ampW1h0BeKr9aqm4RHkenWSDgHYZ0ERkUSD+j3RVYh7u+SElGWImUY9CfEkRhxhGsRCsBgJphl4lBeLWcdPS64skohKJuYUoqmdpTFmrYzvBOqpuSwBqomuCjFmYiGiLyyrCtZQ8GEyjlHtSowfh2HAjfcH9sUeBs3tG2NcwhtqnWs1wvEPMZT/1VKEkedEV+I8AsMhlBwiNZ1I78I5pPbxpF1XXB7u+7uq+l0+grwEK5/WbiOahdYOOEZsGFitKzX847lcnl52UkUtmP6cK8Wt2GSH36foLZrdFzQaCiLkrPVGYeHh7z33rs8Pr3l6dOnJEnCZGcC0AGky+WS29vbzpivKAq+/vpLvvfGLu9990PiNOP5yTmjnT2cSZmtS8qqZm8/4/DOEf3+nBcvXnB7e8u/+3f/jg8//JCnT5/z3/13/3t+/vOf80/+yZ/xg+++xTov+eTXn5DnJbF25PmS0WjKj3/wPU5OTrluSpL+mCSZkqT7xOmEvGxptaVRJVW7wtZr1jYnX+fc3t4y2tmTZiOWZ2/lp6atNuT5nHFPpknrxZzjyZDdeJ++rsgoubk8Z9msSbOsMyl9+fIlURTx+uuvM51OvXQFrq9umc1mnJ2dUZYV3//+97vG2xjD1dUFzq558fIlt/MlTkUc3z3mez/4EXnVULcw2dmhvzOiXNR8/sVnrNe5NwRrqJuCphHW1sXFOfVygVKKg4MDjo+Pt4z5xCfl9PSU8/NT7tzZk8jF9YoXL59zc31Lv7fPvXv3uHfc529+9qtv2z5/e/wDH/t7d2QK6hwmiomTzOfBA87vDUELroQN6pCpJ7DVYDoGg7EHuB2r1catWClFvz/g6OgObSPUWusceb4CHHEi+c2hDlgu5qSp6HIVwffFkGZ9v8esUKr1zyVp9iWqb0NTl31PGp2yrEiSlN3dtKtl5vN5xyqUfabZ2qfks232R6irqgM9pJ7yAIENc2ZFv9/r5GtN26CsaKnFcFki+pQfrsjrO5zSaO2d45Ri0B/4PUsF7jmDoYCp1gqoEqR7Qbcf+Qn25hntmQtGXmK9nFPkhTi3ty1NmzMejX2tMSRJU5yzrFZrUI40iUV62FT0+zHOGYrSUZWeveYkESRNRihlO/mHXGvAKc9OhCRN0CbGWqHpOz+tFulpShRJbO2mnlC+Lo5IkhRnxSyxbVpa13au+dLESRNrNF3NIwyAwRb7U8AU+e8wqTRePol/He9G3yXsCHOiB+T5mslkhzRLxTvHg1ar1ZI0zbrrEurJjYE1vqZNGQz72LaVZ6dzPoUh+EBs75Mt1pW0buWxAAcqRquMSKdARKu0SO/RGD/ZxmlsI5Rp5yCOB0RKU7cNVVuitaXfT1E4ZrfXRInBWVgtC/CGhwZxJ2+bhrZpPWiyqfNUpFGR6vZwZyWSOIpMt787a1n7JI2mkaFZFGnG46GXpwibpqpqZrNr6rpiMtmRJhthu1jraKoKGhiPpVfCeRa6UsSRpmksYtugKIqK2ewGh+Py8pzBYMSgPxTpiIk8YzIiCg2/0WGR0jQtcRwL67GqUKomymoqU7NYzGiKK5Is48133uTF6Qu++OpTDg93eeedtxiOhygsSRSRJjGL5Yqytei0z2CqePH8Kbs7O7z/nQ/pDUd89dUXPHz0BlEcYx3k65z+YMDe/h7X19fc3t7y+PET/vpvfskH777Jyxen/Lf/8s/54rNP+f2f/i4/+P73OHn5nPlsyXy+5Pz0hNmyYDQ54Hs/+jG/+vWvMVlK3OsRR0NSPcCaPr3+EON0d12djkDVVPMZbbFC9yaslrFntzZoVWA8Oy8yhsGgz+HuhFE/xmrNwf6Ig6xGrZYURc7NIicb7tDvD7idXXF7e4tS8OYbr3Pn4AitDHVZU1cNRVFzcnJOXTX8wR/8AQf7B96wseH87AxrFcvlgqKqqNua/YM93nrnHZbrmsn44P/P3n81W5Zk+Z3Yz923OvrKuKEjMyNSle7qat3AgETDOEMxZgTNYJxvwaHNNyKNfKEZB0ajamKmMQAbrNbdVZVVqTMyIkNcffSW7s6H5b7viQK68NKDp9pmYV0deePcfbZwX+u//oKj40d4NG3b8dVXX2KqKvjSNWw2K6pqTdvUXF1dsLhekiQ57zx8yGQyJM8ylPdcX5yyXi+4vjhju5pT5AladdRtw6tXr7i6mjMa7vPk3fd4cE/zl3/+8d+7d/7KRj/GQe3qneOULjbJXetoW9fTgG7iwfrlFIBtuQqIsHpjch3N1+JLORqNeqpu08hkebFY9KZ5sUiPgMPuZHAwGHB0dBSiTgxN5fpCPWaXRw1OLOxicxJ1u2ma8ujRozcanri4xYYoUn3iBhvN46bTae8mHSfMk8mE8Xjca+4iayCyJNZr0bpGemBcUMejfUCzXAoSGY0Bd937TZIwypKezh+vR6Qlx/uR2oQsM+RFivMN8/kZy/Ul1pa0tgyGKIbEZmLykaYSP5alFEbhtabdNrRVS4dEqOTFMFCiWpkQhoVRa41RKdp2QUMYqfsdWhtGwyFFIQZsjR/i1M1kNVIW4+ShbVsccHBw8AYlPF6jeG/jcxLNDuPUODZ+/XVVmsFgIp/rHWmSkuUZRaC8S6rDoqf+7XooREDqZiJtmE33AEXbOLq2pqpkEiOZzYV8fpYHo466BzB+WW4i3gppmIQEdkv4ntJkdn1KgDEmUAs1aRJcfr0UirL5Kzwhni9ojPAe27YorfHO9Q6pRaCzR7Akgmo3UwgPXsz8FB7vNFqljEZFaNoVnXXU1Rqtuh4Y2Y3Ei+9e0zTkYYOOawrA+fl5oMQWAbhxjMZ5/07HJmyXmVHXNZPxIUrdRKPFonn3Z5NEM5tJ4737veJ7GCPVJuNDhsNR/7xExk6McCvLkvXqmnFimM0STCLv/F6eCvXr9LX4Z6A4ObnN3t4e3ksDERlQq9WKuq4ZjUZMplNmB8fMl1s21RXPX7zmOwe3+fTLp8wOj6jqji+eveRoNuT+3Ts8fvyY8/NztNb8zd/8Ddvthr/+67/m9PSU6WTCJx/9FKMT3n54l+Viy+e/+ISrqyVHe/tkaUqqHNPxlHYwJcvGJOkQnRSUdUmWiHll0mmshsQJPVrWpILlcknVXqPTATrNJOM5yZjN9hnnEtNzZTfY65p3bk0Z0HL96ilffvEZ3XTKvXv3boCxLOPOnTvMZjPSNJUoxMslq5VM+U9PT7l//x6PHz/uQZbz83NefPOcqrzGepnA3rp9l9Fsn+12y6ZuyQtJOLCJYzASdtVsNuPg4IC2FVZIXZc9a+T2gwe95wPQ7zVxb1ssFmgj0UovX75ktbmg7Spu3Trh0YP3Sc0er18uaZo3kz5+ffyPexzsn8g77zqchw5h/aAlbspohXUW24jmPg0GZInJSJMc5y3eiR3WeDjGeR+o4h1xyTNhzdQ6E/zAK7rOUtclznUCtDoBHttGdJabzbaf8GqdkCY5SVJgTMrx0QlpJvWQVgrnnYC9zpGkKcOhDE/W6xXeC0DfdfKcTibSPEQmUtPUPTsqAuHOeYzRwijLUmLsV/TMGQxcnzSktWZvNuuHILLnNSzmSzxQtQ3rzRqT6B4IkYk+jEZjEpNIbnYptdR0OkEpfSM7dBLP5pxjs5WseNlj80BnVugkwQQJg3WWrm1ASQyZcx1d1wTDPI/20LaO+UL2R6Xg9p1jTs9OcTSocH7OeZS2Yd8EEJ8X2fqceC8YhVedNBHWBrhDTO8O9sZiohd18l7JVBmJ18VL4x0ZBDeHETZEuO8usCic30lk2KmDRVtrGI3yAJLL38efuzF6NGidUlcNILFrzgfUSjm8g06FBAC52wJUZGLc1jYtWy/MibIs0Ubc5YGgLU9+iSEnxn3aaLyT7z4aTojmjd75IG9dAD64zXuctkGNIucmb5ZoIJRKyLMAVuCJWJBSCUbLkMp7j+s0zoNXUr9o5elahzALGrZVh7ce5wQs8VGGKd9m517cMIqbRuKH0zTBGPmufocNWlU1zllWtsPb4D1kwHvLfH6BJ6QRaAHLhsMhe3t7ZLnE88W+QaEoshxCTayVSEDrqpSz0xJ5HOtHrTUHh/s9i8d5sK7FtS2qNWzDu70/m4nePEsCy1HqxL29KWVZ0rQt0JD5Fam76gek7739Nov1krOrc7bbdWAsDRkOB3TWs1hvuLq+oqprFssVHYpiPCUfTnjrnXdprOXLr5/xs59/wr0Hj/jsiy9wgS2VZhm37wpb8e7du0ynMxI6Tk9fY7Tis48/4fzslOw3E7764gustdw6Oub2yV0+/vmn2NaSDwrSwYC9k7vUtsUnKSQD8sGETg9AZ3hl8DrB6ha0RvmOrt7imgYzuENdZXRtifeWYZ6jAuPFaw+2ZXF9TrU+Y3/QsXeS4xLLZvGa1WJD41OS0ZTzy2vqekuapezv73F0eISz4DrParliMV+yWmw4P7vi4OCI27fvgFZ01rJYLji/vCDRIrkaDApu799m/3gflRpaX1M2nvOLNePJhPF4hEkStNEUgxxrW6pqy/X8Gh98tB4+fMTh/j55qgXAwFOXW9bLOevVnJcvngOWqlyzXC25XogH1zuP3+b2yVsU6QGff3pKV//97fyvbPR3ke448d5tgECm9oNiIm7nRUEWCrg2uIre0PxbvDd9sxYRamNMT2HenczGaX1c/KJx3nQ67ZuTXYO7aHLXti3z+ZyudTS1f0Ozvjuti+7s0S0/NtoxrmtXWx+n6LGJic1EbBZioz2fz/vvEf/b+fn5zrSy7ZvROLGMzWrUikbgYL2SfNVIg46N7a5BmE4MhMUgOu/vfn48R9cZlHW0vqZzW+pyw2SYiemL81inBcVug8mDbWi6BttqtJcGHdugwwIYNeOxyY7npzUkiVD7Wj/A4XDKQuLQ4ZxdllErg+9kM87T/A1td7zXkW6d5QWV071sItLD432NjfIuFXC3kdw9xCDFo5UAPmlRoDGsV2X/WWlShMJM/n3Ujm+3277Rjug7ScaNL4H83zwfhUzWFEhIExWuyY2eMj7f/TPpPdqbUGDIZqV8pO9rvDE9+EBwKcZLRFGeFf2mHXWciU5l0gX9xCvN0j4i0XQdOY5hYGjsglnxO8Z3rNU5WTgnY8Q9eHG9CEVkhtYZWjV98RkBsBgT2csNvMduK7rg7xCb8giwxPeqrCrK6t9P0BgMBj07IJq1Rd+NCCzErPb4TqJc/73i/40mfLFgFtaHD81g3T+HEcwEKb5T48ms59atffb3FcfGMOhWPHv2jM8//5zza3lfxwGojOCTJAlIUTYej2lbMc776tk3fPP6giTL2dYt73z4PZ69/gr19AVpXvDq7IzcN6ShllFKcX19TVVVjEYFX3/9NUmSsN1ueHB8iHWeLNF8/dXnPH/2FbaD5fySW0d3yBNN11pKGtqmxiQlGEPnFVVb4+uObGgYDEaUF5fSPIHk1CpPMRhQd1JUg6LzjrruWOmOvFuxSTtuDzwPJ49YVtdcv/qa7fwCMxqFJmbNaDTi1q1bPfCy3YrurmkEDDo7O2O1WvHOO++wv7+PMYb5fN6DvKOh5t69u5zcvkcxmlB2jvOrOV6nPHj4NnmWgaVfG8fjMaPhkMWqZr3esNksmU7H3L17l71B0a8lce2Ia/br1695/fo1eZ7y+tVrynpJXsDt2ycc7B8zm81oqiSce/Orts9fH//AR9taUMFlG4dTniSVJrrrgpO80uBDbZAVaDxdJxM8nAoSNoQaGmLb8Df0/GjOFwcAeC3vViYGjOt1RdsJ7Xo8mQbQKkfi+mTimpg8yAZTmRaG+qZtWzrbBcaXTHojC04pASuiwWqSJDRNQ1lK5KiszbI/i7nYsI+PBNU3MDfreSuGa8EvKa6L19dXeC+GddoYYUhYAMWgyADHerli6a6l9lEaZcQ933ofHOrlEM+Em0l0mqWMxhNMotnfDwBrMJGN+1zbtH3zpVBY1+FcS5GLJGy1aoIkVJFkIYrKtX2j+tnnn4ZaUNz4N+s1WZaTZUnwSAr7rFYkadyHobUd3mmsNeANaZJgTCrf3yUYlZAXedhzhCXqHTRtK34A6F6nf9MgG0ktchLlbK2na7sQH+hDE64wQRIgbDoVqPvirTMcjnsmhlI3Hk1KdeHeWNHT60BRd57WdjvNo0Q7Gi2TdxUmwev1JqzjUnsf3xLZnA2xlJEt+Ibk0t14O2kURidUwS3caM3+3iHWdTTBoE8zwPsssCQ8yhlQSUA3DFoHd3wfMJTIWtApLrhmeiOsBSLbQjnRwtPinHgaKIL+HYULMosoI/ExwSEy6pUKrEiZ8ppEzBZHQ/FFqptGZFta9xF9dV3StCW9BKMHJaTZ35ZrlstrisEQPIwnkz6Boaq2KK1DkoEYwQld34o3glJkeRpkrHIdnHNsd6S2RouJ5954Ks+CV+E6i4zCJCYwQV2I6yvQOmWgPMfGY3zHB9/6gPX8mldnV7w+vcB6Md2V59WTGIXrGpq6JEk0TdPKeqIUJkn54quvOTs/Bzynr1/xW7/zO1zPn1LXDUU+YrFYkA8HgTk5oKmb3ufGWcuzZ8/QWthQe9MJs+mUbVnxZz/+M55//Yz5eovKhrx3+zbLzRxTSMRd5xyurvDGULsWFyQccfFobQu+w6DkZ53EfhtlKMuS1GjEzBGacsVyDqlqsVPHvpnAouH69XPa1jPdv4vzirOLC44OD7h164Aiy5iMx6yWKxrbUlcV29VWmAvXC+7cuSPDOmup64qr62sWyyXT8ZTbJ7fZPzxkPB1jioT5cglo7t1/gFZDqS9CbZ0micRVWofHUpVb0sRwcusWdVnivBMWjzM0tbARl8sl86sLXrx4ztHRAdfXl5ydnzOejHj7nbeYTvdxrmO5WrJYLriaX/y9e+evbPRPT097o66oc9911FZKUVeO7baiDZP92LwqJZtIbN5NYt4orqJWPtJaY9593OTi7yjLkuFw2BvpAf2Ur2ka0ZyUZW+mF/9olZKYom8GdhvrXWO14XAI0DMMqqrqtWqx0dhtyiLQUZZl7+JtjOmbwXidnHN9jNpyKQ67WZb1jV4seOO1jcyE0UjMt2ynsdb3WbvD4bBv4vsGJ00obds3P1HaEOUM8Xul1lCvS6pmhdItbVfSNBWdXdO0K5p2g1Y5e9PxDaXOeTabiuXimjRLhbqvFOl4SN21vUmhnLsChKpmmxbnYduoMKkfkKSJGGcYHZxUJZvYWEHjqqBnj/clNsJ5yKdMh7M3rn1sSHf9FaJm7Zdp3rsTfdDk6Y0R3mKxYr1cUpUl2WDA/v4++/v7ZLnCJHIO8ZrGfxOb08Qk2C4ly24Q8jhtjo1/14q7ZpoJNT0aHMYmNUoLnLVQuzeeX5EZWExi6DpLWW57z4zdP72zvQvGgsBkMhNsPRRXeNGvpWkESzyJbUhaMZuMIF58P3b9L/J0RBLZFASKX7ZH04p23TtPkVekmX5jAn8TaWh7z4jBYEwXpuhlKakMuzR/AQTEUT2uE/HZiF4YUUa0Tbbgb7wcvPc946U31DP0zIDdSKx4RJ+OqhTNatu2jEYjplMxASrLkvPzc3E7HhcUiYCT41GC2865vLzgo48+4uLimsYWfP/7vxNykX1Pczw/P+9NLUH0kMvlira8IM8LvvW97/Phg7d4/O77PP+3/46/+9nfslhvWa3XtMsL9ibDnuV0dXVFXdc8ePCAH/zgB9y/f59HDx8yYsXl5TV/+5Of8vHPP2Y6GnL6+oLF1SXvvv2YyyShXlRUbYrSFUpvxMwmLbiYX7Iqrxnt5RzvDTkKlN/xaMRgOKRuI5AlG1FeDOh8wXq1wRvLdJxTbRaQp1yevmD58gvSbsvR3pTizp3+Ob99W5gOu+Co957xeMzr12dcXl72QOpms+m1/G3bsre3x5Mn99jb3ycrhqy3NZu1GB3uH804PDjEAa61vUygKNKgx7ZE2VlcW729AapjcSgO/mf8/Oc/5+nTpxwdH7B/MOH2nUNO7uxxcDjFWWjahrLsuLi4uGkGf338JznOLqWQyVIBLU1qGM8mOGupfSlSLG9xgLaawuZIXyoTxzjVUyi8cr20zHtpsLZhCh3Xk9DukKQps+keeZ7SNIe0XSua45A/TyhMq7Kmriqs3bJebcWES0u7lyQJWS5TafEDSPsapzft1Zq8yANluGa1Wr2hy09TaW4EfK7D8KDrGUNxjQF5pqNvj6ytHWW57lkoy6UY1xmdonWo53xHmhj292eyNiYpo+FQGiqlWIT3McoWfTDmi5ICrxQOhQ8573IegbJuEhIFTS3GakDYu3yQ/rWAkxzrIHVTgdpvAq/fO9ebDkcvH+ctbbdhs6FvVLXRGB8MEq04ydfB1T8xWfAjyBkOx2Rphg3gj7OOuqvZuvrfy6RWSjMYDHsmhTDp4vMTm0NpnpUKjuDKk6Qa71LxQpInEWct3gtwE71/tpsNdS0Z9F3XoZXBJAlFMQxmfCINtJ3HO1h3G5TyZHnOcDgI7BMv8cAhVtl7S9NKXetsNHYL7AYvXiu2s31d0187bVBOBgR5qCN7Jp73VFUp/663HPQyeIjfUMXnWbrl8WAs75iTGlEkDGkA6WQSbm0bvLw6rBOpoGSkR0A+yCbCr9FG/i0o0dCHZ1FpiXzWSvcG0tZaukZA7rZt0YhLvlJi4Ni0BU09oO0auk6m/WiRRTa1gG1KiXFfb1Jc12ilSbTURecX5/KcetVT96NkuK5qrLNBApIG/54DqfmTNAyP5Fo1dSPPhhc2ioCDTTAY9mw3a6x3JMZhCsdwP2NvOmA1n3N+esYnn3zB1brierHkvfc+wDkBiuqm5fL8nGqz5urymuvrucg1S0n1qJual69f8js/+i1++MMf8tbb7/Dlf//f8fHHn1CWYijcOUnpOTg4wHaOb168JDGa9959wu//wR8wHg15+OARXVPz4psXvPjmJR/99GdMx2MUhjRRrFbX3Lp9xNevrim7Bm8yMC2N37IqW2rrMWlOmqQk2jNUFYco9md7LJOMBicRzUF+UTtLYgBnqVtL7TsK05FNE2gM6+2apq4ZjUTSslzJpP3k9m0OD/ZYLa6ZL67p6o6ryzlGpdhAzy9yMeRs2ob5/Jr1WtjV48mItx495MGDhyhlaLqGaltycX7BYHwo8gudyLC7ExbR4f4BqUnoGuEBjUcyuBqOBgyKrO8JmlIkhsvViuVqyUc//wXX13Oatmb/YI+7D+5x9+49jBaAzOgUnWZsNyu2mzfXrN3jVzb6cbKy2/DG4jxOqcejBKOLN5qP2GyJyZk0jsvVqo9HidPBPFf9prHboEW3e+dunP7lZwQ53NXpx8J+V8NujCFNCoaDadDDqUCZL2matp/6xMldLMyHwyEHBwdvNIi7mt+4wcRiFW5MxWLzHmPBogmKcxKzFqeRzrk+zi9uWpFGFz9fqMI1XXcDFuxq/iFkrKcprXL91HTXKPD169c9SNOualQn2qc0y1iXJWfnFzhKUBVetVjvOD89DUimTBeU1oxGQ4oiJ0tEQ9QYMFnRa5Litds1CfRosul+WBSFbmUVOKWwTuGqlrZpSNsWZTu6ztJ1N8kO4/GYSTCU8SgW63V/7eLviA1p/L3xmkTmxS4z4ObQ4IrQgHZkWc7RrZP+mVRIbE3nLMNh1t/XOCGMzasK1ybGR8aIFNGACm4rUpaUuu0oyx1Tt53kitgQt13HMC1CDq2ls9JACKMhC4ZOjjRxPRi26xex+x5Y56i6TvRjUeYBDIZDmXYZoTSmiSJVN+ycXdCg17F5jzYj8mwgLrCh4UvThKZpe1q6dSXougfw0hDPGHXqIIi8TeS9inKd+H5FWjfAer2grFb9f5Ma4wZcK8tSvC3WgkjH3wNweXn5xvrVdTV1s+nfgzRN2W5LmqbuHZ8nkwnDwYzBYMT+/n6g/jW9lj8Ckm3b0nrxW0iSnIvzc15++imj0Yjf+Z33+L/9yZ/z5N0nZFnG4lom0dfX16zXa7744guur6975/31asH+eMBktsetWyfcv3+fb1685Gq+IBsMUNuaurXcPjnht37jexhj+Iu/+Asmk8kbrInPPvsM7VpWrz/l7PScs7NLqrLh8OAWgzyjyDLapiYxgsK3ugCV4UnxKiFJxezO5FC2K84vLhgPQ2xjGrWwG6rWsa4avDYMh2OG0xP2Dw4ZmY6MkoPhMY/ujBj6NW6Qc/fggMOjAy4HA9JgqBcTA6qqoixLlsulGB5uzvnyyy85PT2VZr8oeP36NYPBoE9dOTw8YDzKBXSrF1SNpaqb0NAPsM6y3pSMzDQ8z66/f855hsMhs9mY0WgAwRy0C+vkdrthuy159uwZT58+5e/+7u/YbDZ88OF7PHrrEbdu7TOaJBhRsFCXDctVyzfffMPl5d+PoP/6+Ic/7t29B31r4bDeUm+3KOWZjkeAwgXjSEPIZvei5e3aDofEfTWd7HfSBMfGJ6zbScJwOArguaNpOmznuL6eUzd1cKoXenWRF0i4l+jTFXFNjhIrE/YJqXNGoyFKC+CvFazWK8pyG5phAEXRtoGqLXXDycntnmGTBWq+1hKptJgvyMKQYPeIU9qiyPE+Mp1aDg4Owv4leuwsTzEmw+gMo7VMy5SY1QmNWosGWTlW2y3z+bV4CxmpBcfjKVoLq8hJhxviDcMI14ubeNNY8AIkT6fTvtbziIN013Vcnr3G4zBpgkkSnPWU2y0EJhzQD4N2a7PJaBJSEGJ2/M11iPuRNilZAHuNTklMGoADuceLxUKYB2Gq7J0P/jea4WhEmiTBr0o07/FZIWrOrRPJgBdJnzYaZaRRzLKEwWAYhNvI8+vEP8Z7RVVanIO8kGlxkmqhvCsB5JtG6L0i/QzAhRWvCDELvDHMizXMLuO0qjYhzq7aqZ8C6zMY/ergC9CDXP1UW8GODAGkxpqMZ4E9qEXU90aNJYZrne3wwYUyDl0IIJcxyZvAQHirZTKrQ4qAp2tzYb54J5EIWlOMBmijQzSZR+tEZCbo8FHCqujaVgC9yCS17pfOE2FdKMWgGDAYFFjbSlS0v3HAl1ogDe/ozRDGezHabDrxori+nocY6pwsEabNyxcvQKn+/YzDGIX4hsT6zYX6azwakecZs+kUo0OkXpqSY4IcWbFcLrC10LuV61A+cAi8yDNv377Dg9GMH//4z3j77beZTKYiUdxsydKU1XLFs6df9Ya4642YyqZpyuHRIVprHj58yIsXL6jrhuPjY7755iUARZrwe7/3+2it+elPfsbt2ydcX1+H2GzFxfkFf/4Xf8HVxTlnp6dsNyVX1wtuHRyB86TGMBgM2bx6TTrIweW0XtE5RaoS9veHOG6YzxoHXp6hTVmzUWuqKkZ8JiRao5RnOBpR5AnKO4z2jHI42W+x9RyN49btu0wm+wzGB3gzYG//kOGgwLYBwOgsl1eXnJ5e0DaOb56/5KuvvmK9XmOyhIvLS0yuqJuKg4N97ty9y2yyx3q9om0dnW3ZNhXbbcXtezMxEkWGVtaaUJeLcbnz8i5MxhOKQc7V5SWzqTA5NpsNm+UiyBWfcX19yRdffkXbtbz19lu88/gxh0dHjEYTnLNY63FWs1guePXqJag3o8l3j1/Z6MdJ267mNlKq48OrtMX6TaDH+dAcSBPeuZbOSdzBbHJImmZBL9QGPXnI3VSywA1yoWHYQA8zRge6cMhitaHhdqB0Qp5nTEaHEJw5nXMkxlAMBiSJom7WrFZXXF1dsVgsaFsxg9Phc40xFNkUY9K+qI+Nf6TD71L+4waTpimTyaSXHcTIK9wATSp6i0APjk0pSsyAlF3Trl4yX3rarhOzwKHFt7KxVVVF23V4NE45iqEjy3OKwrNYLLG2Ae8xJkfpDN0aMqxsUr4jTwzDJOtNaIxvsVmHNY6l87iNpWk7OjND6VkwnYvGc6MgU5PCpafDJ4a0kKaqbVYoFSNiYvanCrE/wXgwG6CyMXkmiOZmu6Euazw3cV0aSJJ9dJaRBloTXsxWitGEzmteX2yxtsWp7RvNLPAGqwRgPb+iNhL50waDoqIo3gAHQLE3u4+xHYnr6KzF1h2bzZrBUIzZ8sTgDb03RGRZ7CYjiEGiCyaUIVM3oN39ND9qAVtB9WKDO5lMIAARxhgyr9A6oVUddRcAJCWmUkob2k6oa2aY4DuoOjGAEUqm7f0OhBqm8MqQtcEkc5QL+um9uDhvSqHBpSku0dSdo9x21HUbNp2GohiEybijLLdASedbVCfopgHabUliNK5qqJuaulnjKW+YOMbTVBuwlnEm0TK+2XJ+Ne/fuwjQxDUmGnxGk8JdSuFgMPj3jDMTM5T3KbyfVVVxeHj4BisCoG2b3r2661rwa5Qq6VrLZt2Cr2i7mqrJaO2Y8WhCPhhgu4Y8Lzg83Md7GOQdI3/J4bRlfvolp198wfv3HjOY7PG3T19SuoxPX5yzefWcTCsaUqpW8epizquLBcvrS+rVFarZcDJIuX3/DtbDs6++4p13njAdDykyw9HejKvLS44P9/gv/uk/4vd++0c8f/6cjz76iO985zs8ffqU+/fvc35+zmaz4Ysvv8brAd1mQ2o9Q62ZFgnXpsPaLYPZiJE9Zro+QKtZMMVs6WxL3ZxSV2tsvSFxDQNtKbYXOJdAMqByBjvYJx3nHCgFtsU2JbUr8U5R244mtYwnY74ptxzqmifvvc1EV6jUk+UZaSoSqRjH2XVdr8e/vLxktXHk40PG+1uu1n/FtGk4W1zxVv4OJ7dvMRgIyEgt2cXr+Yr5asO2allsSjb7G+xtT+ZzlHM4X7FaXzHdyzC5ZzBKMOkYcfsN8a14uq6h7WouLl/z9ddfs1gsODqe4XzNW2/f47d/8F0e3LtDmuconWCtou0c89WCpy/O+P/86f/AVbP4Vdvnr49/4KNq6sDWg8RoUmNI8gLw2Fao8GgDicIrLwW7F7q+ZMILXT0rYLPd4JUjLwrSPKXrLFpXiNG4TAoTk5AMbiJ5k1Qm7S7Q6GWNEeNW7xyzvT2yNMdaRVN3RLM5H6ZzkWZ9eXnJ+fm5rHlBDhUN7SaTSe8Ermjo2kX/+5u6Cw2W7xtYvOTbD4djhsORuN8jtULXtqAIoHnBbDZhuVrgnKVt614L742jqrpALheTvdFQQLHTxTXOWTrrGOQpRT5DJ5JK09Yd3regFUpH+YEA361rkNx5gkRC1v3Otkjaj0wnBeiuGc/2kcLOB9aDocikvrhhTsiaLnK5GEeYBCPDJEz4PU0ttaB14BDQQq6zuMd3TSt7tXU4Cx5hhyRamojIhiOY5SmUsFabDudtD4h3rXxHmVBrlFHyHRA2n28cXaOoyi0EUEOkAj4EQBhGQ5l2N8GArK09tRFmwGy2x2hQ4KxjsRBZaJEPcd4xKAY984mggW+armeQxPMwRtPZJjjsC3BQlWLOOxqP2d/bF4+psI/awMDFSb1qjAneEqH27lQwngxSBFTQ8Ifnx8R0CfG3iMN+pRWJlobZ+5jG1AmbQkHbiTzDe0dVbtE4ikFKlgZZYiLSUG9buiB/MCZlMBrgulb2o0bMfuu6oapKtNLM9mY9eC/M4oTxZAhYri4u+yGHNgpFMDdWIdbYgVGGUTHGeamFlVISRxhN+XyA+kKsXh7Atc16zeHRUWjgJ31/EY2afQAl1us1ZVXSdQ0Xl2sODw/wc0kHMEYzmUzY25v1tdJ4PGY6mZBpS9YtONofsZ4/5/zsKaPRmA8/fJdffPE1r1+f8fXXz1kvthwf3yLLMuqqZLNecXF2ytX8mtt37rJdrznc32O6NyM14kGQpSmjwYDUGJT3pNK58k//6J/xw9/8TZ49e8bPf/oR3/rgfZ4/f86jhw95+vXXbDcbfv7zX9DWddCi1xRJRp5mKAcXr6+4//6Ayf4J7bZGJUM6p7He0DnD1XKLtSXKdaS0aO/RWCyaYjxBJRMyVWCdp7Mdra0xRmG7ls4oEiM6+qpqaMuS8QBmkymDwYjxeJ98MEUlOUmiRRbQtWw2JavVmi8/+4rFcgnesH+wx52TEz799DOGkyGr9YK3B/e5f/8248kE7QUM3a7XbLYlZV0xX6+4nC9458mHaOXR3jIcDSm3W7RR1HUVmM8eYxTGpNB1FGmKUUoiJ7uO87Nznn39NcvlNV3XsikrHjy4zx/+o3/E4dG+rDtdR+dkze6ahhevzvh3f/anbJsbqf0vH7+y0T84OHhDF11VFcvlste2xqlpnHLGFyFOr+MkrOs6yBPa1vZT9zQRJ3Mb6L1w42qfZXmfRQ1vxtXFP1EXv1qt+yl41LwURSGmc4vzXnd7chKMfEIDZm0XFjZBRnYd/SeTST+9jd9v16nUGMNyueyblNiEOlvLxDNLSFJD1zqqektdN5Sl0JWNqjmcycTJ4+lsw+XleU/NBtnk1rWlCsZsMiHW4TpIYeG8I00dtr3xJojU7jgxNsbgte11WwAmNaRFxng67afiv/wnTkl3J9hRB344KfB0vcGWGMmZno6ttca04MolNjAVlBe6ZTyv+Cc1Q7S60Ud6YLvdYFLZ3LM8AYIXAbzxjLVty3q97qMS0zQB27Ja3BTf0eAvPqvGJGzX8zea8yS5yTu1XUXdtlS2pnFdjwZvt9s3KN/yeX6nkHO9AY8UKUGrmWjSIidVN0BZudmyXW96AC1O8H0Ws3U92822nyrH5jlNU7RK8XFKlKYoZyTyLNDu4/etqhpNBxasEtOY0TDF+zQ4GVu22xVttaFtu1AoJIJMbluaZhuKJgdthbUZWg/I0uD67LRQMOuKpmlp25K229wg3QEgivc5aqCbGqIpUXwWomwnphuApWm3bzTrMTZvV3rj7Foa8MGg96eIfhhx7RDWkUyQIuizG8G3WCw4Ozvj9PVrTKIYj6ccHBwyHk1pWxtkPYrEZGSm4eh4gLcVz776kkcnJ9y9c5eL+ZpvnokrflWW3H9ym1TB09dX/NVf/y3OZFxcXfGd99+jXZzRri3/5B//AV2S8M3LV/zW7/w+77//Pj/+y79mfn3Ft777G7w6O8ckKQ8fPmQ0GvWRpKPRiIuLS8bjMR9++CE//vGPqVvHtq0YGkfhOrwtZb6jFa21bJuWq9Wa62XBVqd9g2ttzWo9p6o31PUWj6VNHHW+pFMDzFAK9zQfYDFUZYVyLUWa0tiOuqnwyrEq17woLzh5cpvxcMxomuO2NZ33QTcq69N2u+21+F9++SVaa95//30G41t8+vkzPvrFLzBJitKKvf09ZntTRuMhWZ6gHCTOcHp6gVOG7XrLF0+fM5rucX055xcf/YLbd+5y6+iIpqlIU4P3juuLCzEl8pJjHaN92vCsfPHFF7Rty507d3jrrUcYY3jvvXd58uQJb7/9FkWaUNUN27Kk85pN1VCWDT//+GNOz86omvJXbZ+/Pv6Bj1kwkmtCYezqTvYLLXp7YxJa56kjhduDxojhVqRZh6SSQUzoCJN08QoRppb8oBLjSWMwOiHNZL2aHMxIUpkQtq2YzJokgI1lxbJc45wKRmrSlEYdflWJ3C8LMVS2E1aJR+RVJiTuWOcoq0ro+WnS71+xWbHW0tQ1BNZg9KmxnUS1xrXShonhsBiS5anQQZdLwFJW257NZbQWcy0tOeB1XfJyOWe7WQNgXUfnxGyvaWoZRHhhLoCYTCWpQRtDnhU474M3iRghJkkKTvX7tuImLnkwGPS0dgJXI9YreWp6cLBrWzprIQxhIqvAIRTefli7MxBwoVmX5lqeCes9IFKCLBWdft+oa2FLyJ5uQxMf022kZlVa7RjYOpwVpmmsYeVB85SbLU1To6OyQ3nGoyHaGGwX6fla/g2QhNg8GbhkuNAsOueDsZwAplfX0px2kwlGG4bDQjwrnKNpQ5MeGn0fzsc2Dmtl0OGdZzQeMxqN6FoZckgToumsFY8BrUNTDk0tTbntbKhxYDyeoLWAYSrs56NhIdTzRoYg0dhQaQF7pIYVBuTNvfG0XYMn9hcSj4gTpsJ221Ip0MoHrwgBuZwW1ulkJP46i8UcvO4TqnyQ6nSu4+XLl4L/qZs4xvi81dsyMBIt1rZorRiPR8FYOvgmEMGlG2+KbtBhTBXkgTpyeVDcJEAtlssdPzKDqUWus79/EFifUivt7+8T/a2WqwVXVxecn5/hrCXNUjorjJpBYPEJ48KRG8+7J1PyNEFtPaOi4OTWLV6cnXN5cSmAR1XzrQ+/RdM0/N1PfsKLb16xWK84Oz3jd3//d7mez8FO+c53vs1oPObrp894/Pgd3n7rbf70T/+UxXzBH/7hH/I//A//hqZpuHfvHoOi4P3338cYw927d/jii89JkoSTW7f56c9+xna9IlEKNLTWkRsBQa4vr3j/4WPSNKesO8q2pVrPaayiaT2dM1xeiyEntiFVnjxNKLKENvXkwUvJNhVl0+KVlvo6TbC2o6osWsuzYqmY3Cu4c1SQ5wVtF72txKx1vVrhnUUFoOWTTz7FdR0/+s0fMRiMefHiJT/5u58hiSDiN7W3v8d0NpWaPdTM1juUVlxdXfHy9Sn5cMiL589RNuPWrTuMxwnX11e0TcPedMxms+kN03GSXKG1uPcvFgu+/OJL2rpiMh5x995dvLesVmu+/4PvcuvkNniH85audVgPXet49fqMn/zkJ3z62aciOfl7jl/Z6MdJWP+AeaFBxoI+okxRNxv/lGXZ/3w0/VBa9yZo+/v7DIfD3ok6RsXsupAvFgtWq9WNBnlnwhebz109/3Q67TdB5xweze2Tu+HFFlOQtm0xQVMTdXux+dhtegkbUWzso5Z6t/mILt+756x0Q9u1uGpLZ1fUTS054EpRDAzD0QhNRqorPIr5/JpXr077BSHqVrU2bFoPWpOlWaDnJSSJaFizQGFL05zEDN6gF8diIDZ+sUjYbbCVujH123Xxj01Z1JlHqu3uUVbyMmojm6PWmvFkQprkMJAoGHRCGzVyQXe/+wzdSCFKtKrf+PxioElSS2drHFWgdrdv3I9onBXTCrTWuGZLvXW9hCHqsuP3iX4KSZoKNTEaAjlFZ4N/hHd0bYc3Kflg1Mfq7RrK7Rr9RWp//LMLiMQ/RZJRJEJ7X6/X4ui989xGoGjVVm8ANjcT6bZnmQjF8s13bTQavSEFcM5hUov3La2rZKN2QmssBgVJZnBtwyRPGd06omla6qYWaqs3tE1L01ZoYxjkOdvtFutqylo8HdI0kcXTVqAtk2lGnh+RJCc93X/3egD986lVwXZbBtOkN+UCNykaHpPcvH9RRx+p97HR7zoxmItJDc65nha6XC65vr7uz8MYw2w2I0kSlstl/36UpcTIWV+jlKcqOzbrso8iUkqz2WypqprDqef+f3afra8ZDwd88MG7tIslL169oqkr/skf/B6/97s/4k7ScnF6SppmfPXVl2wax71790JRYLh9+zZ37tzmdVjfFHD6+jVffvklT568y2BQ8O6TJ+SDIZOxUPVXq1UvA7i4uGY2m/LNN9/wzTffsFpXHN15TFbk+Epyr9vOsa1aJmlONpoymFoGdkTbpZhEkzqN9yl37p7gaem6mrarMe2W4dUv8DbBIn4TW+/xJhWGkHNUVYvKCxQO127JtOV4b8SD20cc5x1p2lKuFHkh7JXOWlarFefn51xdXeGc47333uPg4IDBYMBy45jP53z88SesVmvu3LnLO+88lgYGeefqusauSsqq5KOPP0WZlO9+9zsUoymrbcmrV6/orMNby3I+J89zRqMh2+0mSIkkItK6FmdbFudCLUyShAcPHnD//v3eT2E6nXJyciKaWQVpJsys5WrNclPyyedf8q//5F/3CQq/Pv7THeutTCxsU+Nsh9YwKAq6rqVtakpXYpKMNItxv2FI0Mq0NHaDWit0aKqKokAnCT4wh0BLPB3itt80rTTeyxVGJ5TbSkDfuAYD2+26NwjTKkFF8TaEhkgm+pPpVPStVuioWRpM37ywwfppKtJUu9BAKiX69DzP++kqoxHO+V7ypJTC6uAZsXNuHqHut/OaOE1SWvXUZNl/HBeXZ2yXW5QX47ciz8nTlKoqhWXpvJgfJhnj0QjRR4ubtE7icEC6WoVnf38qjTLyc8aIT48NcgmjdYhuE01MbPzEH0ymdKvlSv6bd1KueY91HTaYDjobms8gl9OBXZjnOfRDHYdJNCYZhEm9gC9da6l8g9ZybmmS9DWN9IMCEsi+I5p8hcY6G1ITPIPBKOxJktwg91nA/+EwZzDIhK1qNEoJeNO2dQARPBZHu17Jz49GpElGWym2WyNO9F6BV0GuJ/XrcCCJN1dXAvgaranKSkzVgkFdliZoo7C2oaqlhtrb20Nr8RlQSjylls2Kqq7JvCcNvkNF2PsImvey3Ia6FGENes/11XXv/RNrHsk8D95RkWnZ58DfGAVHVb/1QstOJQSeLEsYjocoPJlJUN72CQxiie5xShofpywmSWnbmroyFHkmgxWtUUCSSdKDjrR5pSQNwbmQmBGMnPfl2anqDXVV47wNtYWwIbSSoaOsCzeOf0qrHmiKDFPlb2j9SksKhtTWML9evsEIMFqLZC4kPYjctmK1WohPQNuJV4Ftubrs2G7WISlK6nVvLXuF4ft3f5dmveRkNOTJO99nsVxx9vpzlHP84e//Pr/1o98RbwCjOT465k/++3/Ncr3m/fee0DY1dVly6/iIx++8w7aqsLbh0cMH/O3f/Q3z+TU/+MEPcM7z5MkT0jTl6PiYyXTGp59/jnUdP/3pTzk9PQ1N/z0++tlPyfOc+/fuMhwMWa/FNyVJEvZmB1xcXPGu9qhU0W49zkiaRZ5ocp0x3dvDKMC2+LbBdi24msSKeXBqEjKvhKkTzDaVVnTeg3Uk3jMZ5BzP9nh0b8rhELzJmK8qqqZlNM2wXlFttywWc64uLyi3FXfv3ePOyQlFPqAqay7OL/n4k0+4ns/54e/8Ju+88zb7B3uAp2kb2qohMZbTs1O+efYNRTHg3XffZbp/SGMVH/38Z1xfLTi+dYemFjPWyXgk+4TvMInBKyuyH+dYr5a8fPkCpTyP3nrEg/sPMFpxPb8izVLGkylt58jzFG/l/J2H+XzJF59/xZ//+V+w2aw5Ojz+e/fO/6jrfmxcYqOzq6mPTXdshOLfRZ10LNCTJKXcyKIbTY8iTTdOzeNLEh3Agd6Re3ei31Nt4sTa30SVxc+QrMmKNNU9KyBm3O9GAIphiGTlxr8D+mi6SBfuHXNDwxIn59H1NkbmWbelbur+s5ow8XbOCU3cWrztSBUkqZg+pFmGiu68TmGdRzmHMXlvOFKVDdaW8l1SQ+MdVbXF2jX4mwZvV3KwayC4WCzoTeR2vn/U80da7a6ZXbwHu9IF+YwMY4q+CRNDjzYsgqKdEgqTmKfEQuWXwQahS1ngzYgqay1VUwWGQCVARzZ545kDerf1ONlXtsGETT5+/na7fcPbwHlLvV3uNJGyMcbmNU1TMgN153rAJMo5YiO9m7e+e22i6dEuEOa9R8kopP9uMeIrnoNcZGFxxN8Z/S92AZskSVCkweX3pqGOn9WDb11LWV28EfEDUoTa7aafUGy7mtXC9hpPrxxVVVKVpeS0Is9oX7yUsXknuA8bsixHmwG2rMEnb7AnenOfHXCpbXgj9z4CAbvPnDaQ5zd6OJmcdP29iOdjOw3cTIUiiyhe47gedZ3E/sVIt729vX7CHD0TnG925B0SGVlVW0xiqCox6avLltWFZnr0Pvf2HlB3lk8+/Yyvnz0nMZp3HtymXV/x1cVr/u5v/45vLlfMZjMeHd/hrUeP+Ksf/ylpt+HW9JBnz57zan7NYDBgMp0ymUwoioKjoyM+/eIp9x885O79BxSDnM1mw6effsr+/j5Pnz7lv/lv/nc8f/6cTz/9lKZpODjYZ282YVgYlqsLXGfxJmFdd4wbmG9bzpcVeXGb/XQWNJ0dYIVuq3Ocy6mbknZVyxSpmDEejZnu32HjUjoEcFRdQ7Nd0iUpXjlM0/Fgf8pvvnuPw7HGb9ecXl1QrZbk4z3Wi0UPuqxWKwaDAY8ePeqNM8VEtQr3rOHw8JAPP/yQe/fukSQJi8USlGOzXNOdbXn+4iUnt27z3offJhuMWKy3mLqhKITi27Yty+WK6WzCaDRmve6gJbC1tpTVirouWV2I8d+7777L8fEx1loWi0WfDhCfEZ0Im+f04prnL1+zWJdUTcedu3d4+uxFDwD/+vhPc6zChLnIBPx2VqKssiyhyEeAZltVlOs11knsHV4zHY1Jg6HXeDIWr4VWwNO6adBdF6jcViRz1spwQokZn3OOrm1pfRfV0G94gzjnRV+uE5JUKOJJKg34drOVvULLXlGGqaNzjmHvPyT7Zqw/FDdZ63ENFBZkMH2FPiaw3AqTMTa8WiuctZxeXMp6GaaZZbWhXM3JhjJB77pGtLXehQmoIlGJNLpKST3SNGFKFDTpSujqXdvhlRGtKAqcxvk66EYtznfoJCExKcbkkh0fQIssFWd/a32/9UvNJkBEmibS/CEgiVKKtqoFDIl7bWj8o5Ss10/rG8du5z3KpBjlg6Y7mrNBGswBbyIRDT54eaRpgnXSeEVJYvSHEg8A0XRjQv568ASRKXEwffQOa0Va511HqwBkcOKdwzrxYdDaiTmq8sznZ1jnScyEIjsU/XvQsReDDKUdTd1AmrPebnDWMp9HOeFNveFdALIklAelxKCvqkppuLkOINDN/hnrZqHPy2cqH6Up0aT3Zk8eDW/8meSHxRhMaS0gkhZ/AedsaKwJ79BGALFIlVc+NNcyhffB1yFRChUa8q4Trb9yDjRUdSXyjralrRuUWghYozNGA4nHto2n6trADEkCsKWIhpeJCdNhK2xMpW/qLWHgINILBGypqgatFbPZNNRPkQWpQJleKeFDfzGeTJhN9wUk7IQibjv5jrGuiuzLKP/JspSmbch8BgPXs0rAYV0nrAUVAC0FZetoF1cUx5r98ZBys2Exn3P28gWNSnj//Q/pmprrqyv+6q//hrKsGI0G7B/s8fjdJ3z8i4+xTU3XNqxWS55+/RWDQlIuTm4d8fXTpxwcHPDzX/ycBw8ecHLrhMl4TNPU/OKjn3Hv3j2++PIp//V//b/nyy+/4M/+7McYo9k/2MejGQ3HXHApbFU0i/WG23fuc3Z9STosOJkcUNUOa8FaSf0CjfIWbIptFF0tbBTvW0gksjoZZIxVQhdBPyefrxTkumNvOuDR7RnGbVgv1mxaWDeQFWPGjcRVvnzxDdfX14zHY777ve8yGIwxSnFxccX5xSXzxZKqbrh99w7vvPOE27dPKPKM6/mVmP1uSxbzJYvrOXfunHB8fIfRdMZqW4N17M32SbMU7y3L5YLBICdNDWwsbVvRNJaurWmbmq7reP7NcwA++OB9ppMZWZazXq15+eo1+weH5HnOttrSWWHZWOf59NMvOD+/ZDAYhijhKdvgbfUfOv6jE/1Iky/Lsp/0xgY+Nnu7DX+MU9rV9yulyBLRkMUJ7O50N/5cbDRjMxcbuVi4x8YgxnHtfn505o5T0oEb9Kix1pqDg+Gb9H974wUQm4ObZlYuS/y7XRBjt+mNi12cppf1krre9kh1E66XChQm0U9BY5VEBQFFPgBjsNZjckMWJr1NI66oRYj46q8Bhq61bMuSuqrfuM7xeu26QUcQIDbb8ecGg0EPUkQKfpQnxOYysgx6vbmP2kBNkRfkeYJWCWkSf78WtNZB42JGcaCm7VCv+8m3qYFdwzzfpyfcgA+TN9gHu8/BbkRbwg21Pxp+xWfjhlJuca7COmi7aDYjCHNceJ1zFMNbpPmNmV9POQzX8JeBlHhekUmwq9GPE6V4zQ8ODvoJfUxu6GyHTYTtEoG0CCbFz5HLk4A3fVMcr8su28EYTTb0pFrkA3LOEjGz2azZbrfiTt2U+K4WDX94p3QQEbahsfb1zXmYCEwoRVlaisGAzlZsNtcolZMlk/7exkl9BPvifZBzTAXMqaoeUIug2WAwQGkPtG98x93nuwf3igHe3wAHkW30BmgQJALGmD6WMwJ14/G4d8MXEMHinDgzawNVtcH5ltVKsy03DPOOWQ6P7hxTnl7wydOv+clHn1DXFdPjY5rNgrNnnzJ/8QobwLX9/RP29w/orOXo+Ij5qzWr5ZLZ7APuv/sEpRMePnjAZ18+FQf5g30O58serBuNRjx9+pTXr1/zR3/0R/zLf/kvOT4+Zr1e861vfYuvvvqK6XTCdDhAu4bVag1tRd1a5puaSafozIB8dgtbajH1Uh6lLCgrWrEEKSZCZFORpag8pxgUmMEArQfUVtyylXMMhkNckpCmMFWGB3sJ+7mnW14wP/uG89PXKAV7tx9Q1ytWK9l8bt26xeHhYf/8X15estlsOL+uePr1U9qm4bd++4d8+9vfZjQe0ba10H9dy3qxomg1//gf/2Nm+0dUrWW5EeDz9r2HvDo7ZzLd4/j4mMvzc7I+tlSYP+vNivn8ks12hbMtD+7c4d7duwwGg36PW6/l3YixZW3X0ZRbzi4uma9EuvPd73yH4XTGclPxZ3/+E/7Fv/gXv2r7/PXxD3zEJmS1WNA1wsIxxGn5BIm7asS9nEgT1yyWy54uPl8uek2u0RqTJmESrBkUBToAv6D6KbJzijwTwy9JGGrC3hCUyiYCmpKnLntVh9G6Nx2NlG4XDFN7ptvOvqy1uK/vNvl4QmPr+6g8SXS52fuifj38uKxl3rEtt+ARerS3JIOh0N/F2azX83sXDX4z0cMje6NXgU0gpkgoPEmWkhdDHB6lE5yX5qsNe73WknRB3aJUg9G1DC20fD+RWMrv8/7me45GY7Q2lGXFchmGI3WL1mJE1vs+dRF4IJzzTZya1gavNE6JJ0OW7hj3eWlare0kmtF1KCV7dp4XoDzrzSo04jdT3/jHWsmvFw+iqM9WgTniQ7MqvkjS4HYhlk8Sp7xH4tysRYX4Rw3BQMvhO9H/152hqzNp9CEMoTTj8YQsz0JNGtN35LsnyY15ci/jsJHBcmMWiYemrXsm6mg4llog1i9KYxLR3yc62RnwgTFeJBjQ1y8CusThnPxvr0AFmWisB6YTYRPkRYFS0c9IkgfW6yXWdv2kXykwSszlmlYy5q3tsG0bfsaFKDIBbkDkOVppqq2A/TFpR0whTQA8ZNiR5xl5fqOvdy5ERgZQRQV272QyJknS8G7LM7RcznvGoVxzLUCaNmRZivcJShPiCBOGwzFEOn+o4bQRNkAaTCfl8RSQxQdqNtG8LTwfztvet2izWVFXFdRLmtUr7nzwPqvFSy4Xl3z08cd41zEZjzk+PODi/JSvv36O7VoWizmTyYRHb70lYPZsyvPFnPn1BYMi5X/yT/4xr1694s7dE75++jV5njEcFeztTYmMbGMMXz/9mi+//JLf/u3f5up6IT5p4zG/8Ru/wR//8R/jnUiQvNLUnQCCrXc0zlJ3HmcKqq7BKoNOMpzv8FZASx3MEZVXWMmUBG1w5Pg0R6U5qcnEl8QKcyI1BUmWk6UJk9Rxa5JyOEmoVi9YXLzkdL7FDPd468n7XFxe4DoB3I6Ojrh//z6TyYTLqzmjwQgPVHXD1WLB9WLF93/wG3z/Bz8kCS7/dVkxv7qm3G7JkoLf/73fk/hOpak72N8/5u3DW7x88YrJRAY4X3/9lJOTY7QG50VqVjcV69WCzXpFmqY8fvyY/YN9lIe6aphfLdhsS5aLDffu36MYFqw3S7x1tK1lsVhhO8ujR29zeHDMs69f8dVXX/Of/xf/s7937/yPmvHFBi3mYo/H435quV6vewBAXFhF+xNjJXapyFkipiNxAht1s3Hi1zcz8Ma02BjTN6PRqCtG08WXVUxZ0jca8DTJUCrE+XWWmOUakeGI5sGbTXBcyHajzCIdOIIZMT95t/Houo6sMEym07C5tmRZzmQy6cGSqq5wTjEY3WiI43WeuBuaXpIkKHejQxMdc8fx8S2qqmS5XOG9JjEZaXrTRMWG6Zdp6+v1uvc0iH4D4/H4DbAG6EGY+Fm7UoB47Y1Jg4PwmDRNEGfYGAsTG9y2187Lv7mJnouyizRNyQuP803/O8QXoO0BliSRaAujb+L0Iqiy+7zIetig3JsAR3S6j+wFazvG0wlVLVOVJKC9u/9bNsMWr5o++jDLshv91w4tPTbldS0SjV2pS7wng/GYYS4Ml/js70oBYvPrlOsBigjMjEajnprZti1VWeHsjU/BLtAQ5QzgUds5npupP9CDN71uXgkIlqai/x8NR/09r5u6P7cIpsi0QGiUUf9V17UUBQnYNumfsVhIRL18n3XvheURj3g+kVkSdY5K294TJF4rpVTfACdJwt7eLbyDq6urfo26vr7uQYZfpvzHexaBgfhnNBqxWTcB9HOgWpS2jMY5db1mMitompL3buf86FtDfLPhxfNn1Ncb3nryLhdnZ3z6xafcvn/M+mrOdz78AJUO+Nnn/2du7c3Y25vxf/1v/1tmwwy3ueJH3/5d3n33Xb56/YpiMOL8/ByA3/rRj4KsQIpZcQG2vRGhtZbZbMZwOOTRo0f8u3/37/jhD39Ing8ZDve5fP0Nm/Wao4MpTiWsq46Pv3qOnf2Ce0++zXA0pdBF0OhXdLYmywzWNjKJCWDWNMsoplNMyBxudULnkKiYpqLxDS7RJKrD+BXToxO258+o5685f/2SxsKDx+9j0xHVYkme59y+fVtMKKEvKqO8Cy+66aIouHv3LoeHh3Rtx3xxzXw+x/mOg9k+j996wMntu2yqBqVgtVoxMZk4BScZnfOs1xs2my1HR0d0Xcd8Maeut5yenbJYXHHr5JC3Hj2kCJTl+Iyt12suLy+Zz+fcvXuXpmlYX16yXa/orOPw8Jg79x+BSVmXNa9eveLx44f8r//5P/9V2+evj3/gQ4dp7d7ePkZrsizh8OAAvBisrZZLvFugEAr29LakaAyGQ4kptZambQIN2fZgax2iY6N+PFjDhr1QqN3j0QStE8pSJuBai/GcNobRsEAb3Td9wjiyVG0p1P0wqfRepoRZmvaNqwtrX7kVv4f4u+Nah5L3owtrYAQuV6sVy8WC9pciHhX0wKcxQUpHSteJaV+RD/rmN37HJBFgbG8663XGAiS43sw1z3O0EaaBdRbrIc1zRpMpL16+ZLPZiku+p58AJyZlMBhSFAO0MhJLqDTr9arXclvboZRmtVpiTIoAECl5lnC4Nwg1XDSXq24aWCURaoPhQPx/spysGOCQa9U6R11VtE0b7ouwACbjPdIkoay2rNdLPDf69SjhjIwvfunKamXweOpaJrxN0/X1T1luQXkGgxwQ40WPx7mOciv0c+/FSDozKYlKgqQuBQ+JB6M8XiuZ+yqF12La1XVt8HbIGQ1HHB4chPo1plU5yauPVHWv0MoGUDeyQuQ7DAfD8Hy43mBvG+5bNHmMD5L89135Zag9UnnWIwPAe3Be/C4EiIpUDQLwEFkjHtWnBIgOP8/TMCDyOMnFCIbZCaMixwT0ynYSA2ed1H5d04oOwws9Hudoqq0MR5qastwKCBFqfpRnMhmIpKs0/bnJYCINjX4c3iAxhr7DVm2fVDFfXGNdg3UVzjUkiQkAVcIwG8lgrhiC17RYVqtSpCvqJr64MAUeiS3UWpNnGUma0rYNdSV1sPK7kYcOR8dgMMJ7y/HxEYvlnA8OH/D2bQX1ksX1JU8//Zg7t2/jzi55/vIl9lvfZrOa8/3vfZfWWv4P/8f/E48evcV6vebf/Jt/g7UtxmievPsW3/3OBzx9/g0HhzPOzk4ZDgs+/PA9QPblIs9J04S6qdnf3ydJEiaTCXmW9MlsH330Eb/7O78baq4BP/voZ3z+2ee8/+67lF3D2eKayy+fwv3vkR/ew6oWpYUN0zOoEgHsPAqMA6PwiZea1xRgcizC5LHe0tYdTQPUNbmpGU4SJgcZfrNgu1lxeXlF2SqOjoYYY5jPVygPjx496hmg680WnSRcXi9oGovJChrrKMYTbt2+S16M8c5x9vo11XZLvd1yvH/I7dt32Zvt4R1cLxacn685OByzPz2kqcQUs24a8iyhKDKyPKVpKrSGxeKaxeKauye3uf/gASqkX9mQ8AKKzVrYjrdOpqw31ygcm1XJ9fWK2XSP3/rt36DIh1xdzXHOcXR0xP/2v/qv/t6981c2+uPxuI80ycNkuSzLvlmLlNld6vju5DU2/1mWU23dGxPYWOBHWm7foKc3+bJxw9qNOdudysVGVCnFdDrtm52maUhMxnA4ietNeLEV3iuckz/eKUbjYY/YxWN/f7//DrtNRqRUxwnlmwZhltaWUnRYoXs3dQ0omlbczPf2bjEYjkgHUVdtiLEwsVEWanTCwIzpmk7i9cLfrZbbsPkW7M3SnoZ7M7F2/bWLLIxIPdNa4gMjbbZvvqCfnMbrHe9HBHZ2gQOtM7QyOO/7Zi/mzAvyJdd1d7oa/QwijTo2x5utDfQkApPAYFvNoJj1Ta5WBufkPOP0IjI/dg9tNbgbajfcTHuj90DbtWy21ziXoEjQOpUJhnFoHSiaXdu7jEZZw+5nxXse6fJx0dtlTcSGvaoquqbtQYLIHNkFwpQSF1styof+c+IGHKUwWZYxKMZolfXfL8pU3rwWntbmwl4IGcLOOZq6JU3pQRffORKlsUb3FEnvIEmGpOnohgLfBdlDYMB4vHhFaI2JVFKn++9SFEVPB/zlib5c4zejNCNQEZ8Pj0WprgcyIpgSf26zkazrxXxLUQx7aU58Xt+cwthe/hANDeMaEin/AnaJ5hxlA9+xobM1SapF1+1rJqMRQ9Xw2Uc/YbusePzWE1xt+du//TucbblzuMd4cguSIf/2x3/DZrPh888/Z3q9knPTmoeP3uLk5CQ0ngsePnqbg4MDzq/mYlKzlSn14eEBXWc5vHNCuV72z9P+/j6vX7/mF7/4Bffu3aMsS87OLlC+46OPfsbVxSXvv/eYs8s5V6stTx7fp0sGvJ5vwWRYVwod0lY437K3NwEl55amKWmIEbJdR73dstoqlt2KshU35sRbMuPxGoaZZTDy6GaFby6prl4zzg13H3+LweE9Tq+WzLKE4+NjTk5OaJqGy8vLXk6T5zmvXr3i0y9eMZlMyAKYoYCrq0vOzl9TDAY8fHiPYTFg1A1YrVdsq5ZlcMr1JuXli5fce/iIxWLF82fPxFjKaLbbDfPra1brBePRiEeP7jOdjUgTgwrvdNM0rNdr1us1L1++5JNPPulNG+dnZ8zGI955/Ji9g2Os1yzWW7xXLBYL/uiP/ohHjx79qu3z18c/8LG/L67Dg0FBkgp4uylrvHN0dcNgMGYymeGsQ3lpYq33dN7KdAmPySSu1IsIOpicKmwA4/GiE08SEyamMqWtmxK8xiSaQuc4G6aBrmO1FkmBrMtx2qwoilwYQ14MdLNUYt3WK1kT4r5qtCYP6SlZYBiIltyhTUxgEQPUsqzYlsIwuRu8P3YlWlrJZ+EJ7Ch6QEvrOBEHF/zSkjRlOBiFCe8Q52S62HUSazYI66+wDzxd21K3DZZApW5qZnv7pFlBmmbBgFNjIj1eCeXfOUdbNzLRhsBeizG0AnbH/cGHDHffuZAVDSgYDRNGw+ENVuw1KJFeWuvZrLeie3diOOtB4v68x3sFznNxOUf011Exbjm/OA23TYf6ItZ4N7GFw+GQPC/eAL2lJr4BoF0w+7Th2fDBKBCC+WCaYZRB+SD5C7LL0IdKQ2gcXlwk8bFBD+fadQ3zhTTWMfItz3Imk4GAteFcbScGcyhpnMVvaRuYClZkCP6GOetDzRGbfTzY6CNgY11PD4Sl4V7JHlqglMYraeG7cG3idcd5Fsu1XIc4WEOkDh5HlodISkCpKGUMppgB9PBeopm9VngvU3Sl5B13eLQPMlMtUZYgIIv3HuUCV0BJramCEZ8PV8t7jXNhkGQVi/ny5t4F1oHzkkV/89zJebStY369AmXYpjVap0FqOkCrFIVIQ/JcaqCSksV8AQqKIuufC6UUiTGMxmOMSchTQ4z2q+oyMDNEhoGzuK5hNMg53ks5f/Wcer3kN37zh1hr+X/9qz9BmxzlWn70G99nsar48V/+NZ21fP7Fl9y5e1fui/fcOjrie9/5Dqenrzk9fcX3f/A9ptMZXz/9mvVqE4wDLUfHh4xHIybjMYvlCq0Mz5+/4OTkhOfPn3N+fs7R0RGbzYbT01O2Zc3zb15Stx0WxdV6w3VZ8c67t+l0ivaa+WKDsxu0l+dNJMFJAGED+8lLghvKgMlxKmG1WXN9PRe6vjHotACdgHbYtCWzCbpZc3V+Tl4UHD68h0vHXF7POdw/ZDwc9vLeuG4mOsF1jq++esqXXz1jMBqzf3gYpBue1WrFejVnMhzw9sNH3D65gzEJ282GbVUxXy5pO81ivuHZsxcc3zqmLLd89dXnOG+ZTEaslnPmi2tOT18xm0344P13GRVDjPLBDUSeSgHQLB9//CkvXz1j7yAlzS11WaJJuXXrmHfefkKeZ1xdXXF6dsH55Tn/+f/8v+DxB+//vXvnr2z0R6MRMb96tVr1yF6c2A2Hw764hl1DLd1PEJumkWa1NT1VPk7ZYpMfm6BI9wV6em/cZGLUXZzURmAgZnnHhvZmU9J0nSyIWSa/z4bM9hstjidJQpZumGRHutKNfgamIefwlw3t4vT2BmDIxR21KEiClq5pGrbBbbEoBpgsYdWUdM7h2psGzVrJBVVKfFCa9Zq6rPvJeDSGc04FwCLQ7gLiGq9lnHpH+nKSJEyn0x4s2T1i0zwcDv89GnoEOJxzwalXpgzTyRDvNVUpGvqmaVHKIE7Drfxd15Drm8lznKrH+xsb/bbp8KEgi7R1bTSDYtAX3F3X9tmTktGe9pPeN7+MA3vj+B6/666MQWvDbHLSMxaUUr02swcD2hanE1lEdu53BKniv92djvc0tp1mPy4m6UhTJFkPqsimewN89H4T7k2qIPDGeSZJQprkGJ29ISOZhvSE3aNzI8mODlFq3vm+kTM6MFCaErr65ns3bfiZoveeaHRDke2FRrzrNXNN00iR5QyeYGqV6zeew/h+xmshgIDEWO3q93e1rnItu6Dxc288h/E6RV20d2nvBRKncZGJE1kfEWyIwEIErnbjQZ1zDIs9pHroQDU4Si6ursly0IniYDDh3p0jyvnPsdWab334bRJG/O3HP+HZ8xf8T/+z3+a9t++zXJzxybNn/PznP2cymfDyasnp1ZLEGA4OD/n2t59wcHDAl198isszJpMJr169Yr1eczAas96sefjWY9774AOGozHjQoe89kt++tOfst1u+fTTT/He8yd/8ifcuXOHuqoxXpxgBfjsuDif403G3beeUOdT1q2iWS9pqjZQJsWBfrNZYRLPeCySCe884/GIbDrFjffJzITcpdRWJlF5AsNU45QlcRtu5xW+vKJen3Ewzji+8wA92+eqsWSjGbPhDSMr0q6TJGG9XnN1ddUbDCbZGOccFxcXnJ2fsd4sOT6+xeHhHsUgJU8zfOvYbCq2dctyuUZrMVg6OzslyQoms72eDSHSpxLrHAcHB8z2xuztTclyg7MtSVhL6lrkAa9fv+aTTz7h+vqa09NTAO7dvcvJ0SGz/UOc1qxWW6q6ZrHZ8sH77/PP/zf/nPVqxcHhr9pBf338Qx5xrV2vN2FdkOdJB/s76x2+A2/FvIvQCHQ4MW/KZHq6LUsUTkz33M0AYTqZhIlkZOwlGC1Mr6ZpwgQWRLecoAO9ebFYvrGmRVZR24qm3zsnTsnBsG06m5EEuR5ER29J15E1WuNcaFAJVFgndcp4MmQ8Hgrgn+USTwZkWS6sNHUTMRfN9sKwF+ddMG4DE6j00sDJmh1d22XvlCZru5Gfr5oy1FeOLpjx6jRBaUfdCJNLaY0PHjBocG3XA84++DMpBePxKIDEwSsngB0CDMhEz3bC+nE2AvyiyY1NCoGKLRp7jXVeNNFCoMejZWbs5I9Gnp3BoOibfHA43wlzwseJfmSEJUHaIAOvPIuGyIb1RhJfogt/WW5ZLhZ4DM6JqW24gThncJ3Q7SPgUWQ5RZoHQED8C6S5Ba8dGLl+ddsBGhBmhkhBJE/d96wGWQcTY5jMZmHQ5G6MCkN9qBDZgDZpkLMqTCJGiIvFon+f+qm9u9mDY92TBt+J9XrTp93EaXmWpVivSJQ00So072IiWQh13XuMkVQFrUPcYJj0N11HE/0B0Ds1jSLNEsYxqnmzEWAi96jQiHsnoJQ05tEA04DSwuZVDqUdSSKfORoNQ+8sKRNSi7nwTmUCshElIiFZCYvtWqxTGC3eD7vv+yDP+/dKhimKrhX/gXJbhWdXQEMPHBwekKQS+5gEI8go7c2KAq2RlAHt6DqJWcaC70pOjg/44N2HVOc/4+L0lN/43rc5mM34t//mX9PVFb/7ez/k3u1jri/OeHF6xSc//xgdqPSff/EFeM/+3h7vvvcuo/GIzz79lLPLM373t3/Edr3i8vKM99/9kM8+/4K7d+5y985tptMZOsn50//fn3E1n1N98gnj8Yivv/6ayXjCn/5//y3OOUySUhRiUqtMQtVaXl1e05qMO28/plGQKDBJRqIdXVOxWC7FjwyJyMu0F/lG7LMS04NBg+GIfDAKoE6GSguUNgywnGQl3fKC86svub0/5uD2MWZywLKGNBtw+/ZturZmPBzT1A2LxYLNuqSuW549fc7VfIXWik1ZczVfcHE952q+wOgVh9MZh/sHDEdDOidA1baqZC9yHmMS2s7y+vQCr8TPIc0L1ptV6F0aiiLn4cP7jIYFo+EwyIk8RZaz3qxxnWOz3nBxNueLzz4HIiuiAAEAAElEQVRnvZmzuL7FbK/gzu3bHB7cIs8nGJPSNC1lXdG0De88fpv/5f/qf8Hpi294++Dhf3Dv/JWNfmxc4jQsNoax6YkNXFwQjDH9JLZt2z5OQBbYAU0jzUxs6mJDs3vsTu+ihnxXD++975v+3fOMxoG9eZkp0CoXul4t1LhiMCBLs765c96jdd03B/F3jcfjvmmJDUJ0WI4NZPy+sYkRk5JD2aisZ1s2wfEZ2trQNJaqrPDaUesmFL6ie6qqks1mG2hsgihnXUKiJXYsz3KSNEWF79pPLJ0U7rLRyyIczyVS32MjFJvYSIuPEYLRVb+ncP3SvYigQZzUNnVD2wk1Mc8HjEeTfjrtvGcymZHlGXqQvDG53aWRg8gEUjMCBPXPgsES8f47h3cWo1MGhesb/V3A4M0H2ZKoG726UorVavVGNKJ4HuxB0G9uNxvariPPBhTZTVZ7qzpa191MtXd8ASJjZbfpjE1mfOZ3WREOjWu6NxrbeC0jwJGmKaumElq8i1E9N/c6/pssHeDdTZziLwNS8SiKQ2xne3aLTMqFMmqMsDGsKjBZR5bnJDuSFXHT1WSJJs92o/Fq6qYhNZbJKNl5Bh1J4kkz35/rbpMfn6uu69jbO+kZJxHw+WWzS++7Xs4RPT/i9YpsiiRJejO+eF3jVCW+s7uGnrvgHMB2uw35w3J09RVS4DSga7yqaLslytR0dsvR8QzNLbRt+ODdd9jfO+KTT17QdB37hwd8/3vfYXl9yecf/5Q//dtnfP3114yP7tJ2HXVjefDgAVmWcXV5xRfNms8//4zj+w9o25bJZMLvvPUO6XDM4ckVw/GMqqq4XixZJI6//uu/Jk1Tzs/PmUzkXbt16xZ/+qd/yt27dzk5uc1muWG1WuC94/Mvv+TF2ZzRySN0NmBZttjc0zWiGda9C7JBGw/I9Ms2DfV2S+1rXFbhTElpEloNqMD0sZ5Oe4pBiuk0w8yQNC1H0yF3DicM9vZ5XVk6rzm+c5+TQkDiKO9aLpe8ePGC58+fM5/Pqeua88uSl68/4fz8jNPTA+bzBXfu3uLk5JC8SCnLtTyXJdRNzevXZ7w8Pefh20+Y7e2x2lR88+IFx61kFAvoVOBcy/HxMbPZGKVEtrPdVuAdJoDX5+fnPH/+nBcvXvDixQv29/d5+PAh9+/f5/7xcVDJhrUuy6lakaz8l//lf8lsOuPzL7/g4Vvf+ff2sF8f/+Mdu6y/3u8l1AY4iXRM0kwm816mJUmRsdxuWG+2JEaTpAlNuWU2m2GUlrz58NmyPuWhrtlhWDmhXMVpre066qYN0+mM6K7vvET2Xl1dAlLwFXnRT2YVofEHmVYbE5oTWVO71tJxIzV0zrJxwSwwNLpZJlKrrmuxLu7Tbe8+n+cF0+mkB8olBrDtDYFt19HGfdnJtFvAALmeYmYsIIh34Zy1NGh5Lq77Tim6wBbT8Z6kGUmW4juLMSkamVQaYzBK3+zt/uZ3A8J660J8npC3EfM3ud5lKdNoaQ4VOuS0ayW0fxNYaVmW4bXCKenbuyA1S3XCZDQR53bbBU8CmS5LooDtdexaC7sgshOilCJJUpq6ZbFYMhgG3wWvAU+WCmgrcXYByA6+CkpBnqWo4NbvOjFNtM4CMoE2Jg0TbI9Xvm/0p3t7KGXwLjIvLavVBrwny3IBxOMEHk+53fT1yY2v1A3d3XYdJs0wiRgiiq7cM51O3gCo8Iqmavu6Me7n0ZBvNBozGU8oily8CLxjs91iw7MnDbY8Y955VEag3zdY1wVfBcL0PVzfLGeARLomRnyDXKgbVZBNgABa3nnaqsI2Dc61eGf6ht8DRqd4r4JsxoLxKC3NfttZ1msBambTA5SSiEVhkmiGA8FoOivO93XdsNlsAxMRnJUY3qIYoLUJPjc6NP5enkWl8WiqUqScbSOO+VmWMh4PBJB2YlrZ2o7OdtRNzSakirwOwEI042s7OW/f1RSq5fj2lLapKLKCt996C9B89tnnDIoht472efLOQ64uznnx4pSff/GMV69fkeQFnfOgNFoJG2UyHPDRT39K27XCgFvMuXV8zD/7p/+Uzbqie8ty+/YdZtMpAJdXV3z++RcopYJhXcVsMsZay9XlFb/xg++z3VY4nXB+eYVShlenF5TWMz68g08yXp+dMWwUVbUlUR2JIXgzSVyjdh3YGusdOklJwzXt13ot11epBCXxTChlUM5C1zHINCe3jpiMELf6LCdXmtFkT9aCLKOzHavViu12y3Kx5Be/+IS6bPEYrq+X/PQXv+D6+lpYuXXFg3tHHOwNxL9Ba9HKd/Lcz5dLXr56zcO3vsPR4QlXyznX1ws8KvR0lrwYUpciVR8OcpSyAvp48eCoqpLNeo1tO559/YyPfvYJq+WSLE842D/k5M4+h4f7ZGmOcyqs9bImmSThn/zTf8pwPOLjX/yCt7/7H943f2Wjb3QWpsaERSto2XXWF/qiGRbXUqUUWqWUZcP8es5ytSTPcvb29/BOoTpP1zQslzWrleh5ZIOQE+51xF4H9C2RxRgvBktah41JYg7KsqSuKryHyWQSKGDipiraT0hMQpaKeZo0SDuaNg9lGbQ+GPJsKAtqKxF3eZYxHMhibztpnLM8xNWpm8Yh6ppX9TV13YQoMUUS3dKVLAY+eAUYpfEqmJClGcN8yGy81xcVxhi2V1tSkzAcDvuGCW6AkK7r0Gh0uHaJEdfTruuoqxrbtTTW09UttmnFyCcarzjL5eU8UGUVWZ6RB23/jSO9ecP0EES2IcGAcq8GxaCn6C+XS+qylEmB0mKkYwyDrOintrGJjc8RPkepJHgRCEWrLEvWmzUqUB/REnunABWKuCTcz7iZeTyFtri2YrlcstrRwcemOU1T0iRjvap7KvxoXPTTnLppWK6uabsOpTuSRFC6whh0IgWH9x3aWmhqulbz6lLMED2etomFCr2hj3OOBDGWiTT/LMvFfMYLPTTPc9Ispw7mgJ4YQ+h6CuFgMCDRBo1kGuM6NIKkK297vZnrQaj8Js5FizRAnsFgxgikRuFtS2s7yrqWZqYQoKXtLCo3Yk4VwIc2zyhaeY5kYlRTN3KeEkcTGCI6uyka0pRBuNayQCahyRSaoNaa0WjUa/1sJ3RD71uJMWm7MMmSqY+O/1Yp8qzAe3qW0e4zFkElafibXVsAOe+66Z8bpRQD05FkOcoktDah6Qxe5bR1yWa9YDrUaNtxtH/Cya0HfPr5C7764lMGgyGPn7xN6yx/+9OPOHv9kvm2oUXTWMugSJjMJvh2w/L6Gn044Hvf+zaP33mIGgy5e/cug9EEj2a+3vDBk3fQSYZH0VrH8nLO86/POLl9i88++5TLiznfPH9B09aSZ93WHB7ugdWcX1xzcnLMYtuxqCwfPv6Ayd4hm5VFj2bUaUmR5zJx0AatwWiPczX4muv5GT7RDEcPMcMpTTpG2wTXWhrf0XaW0nestSdfWXR9xdHJgAfHB9w/vkdGy7JswBQc7x+S5ynldkPdNFjbcnZ+yqtXr7i+XjAez/jwg++xXGz46LNnPH3xY7w2OOVAW+7dvUXTVNTbjkE2pGtaymbOxfWcZ69f8vp8zt7dhzzcO4BkI6Z+L4VCWBQDPJYsSzg+3BfgyInhWNNUNHWF6zyL+Zyvv37O1dUFxhjeeusRs9mU995/wqDISYsUnKeuW5rOsVhtKauO8WjEk3ce89HPP6YI2ca/Pv7THBGsizIq52zI3pZmwJgAZHmH8ipQiKXx2ZZbVusVB3t77E2mMJ1QV5UATmXVg65AkMRBmmYMB8Pg2h6axECFVloxHgyDS72m62wwWmrAC9X7htkoE2kgTHV3p4Em0OjFGNa6m0GHsA5dOB/PbDbt/Wa6TvK0k1TOOc+KXmvvHaxXG8lc7trg0dNgEhOaV8KE2GC9p64qlNaSIa5DOkFPUZf1tAzUb9k3x1gvWeE94zKX6WReFOhwDtjw7wPg0IShgpP2tJ82O+9ZzGNkmww60iQjSbJgrCagsA2RY64T3YENZn7eycCkGA3x6GAIZ8izkDKkNDipIYaDAVohE1Ml99rZyAKUwlvuWSaO6W3Lar2iKhckSRqm/3IPm7qUmjNNSJIh3ov0TKRuwmawXcf11RXOWuqqwlmHUdKsGG0k7g4V6PkyqMF46qbm+uqaKDfFC+NhNBqhPFR1jevEW0AFA0UBRFwwbQzn4OU8CM80SpgoWuvwPGg2m5sYPPHBCLRSbpJv4p/4HupgLiYWFEoo/Nqw2VYChiExhr3MVRuasBYrosGd7+v5JE0xqVC3l4sVHs94NBYPpdaiTNDuBx13ZhJc1uBsS9tWwhwJjvkiV5Dzt7bBO0+Wa7IkJS/E5BYvzSL+RlYoCVYahe7XAGcVbeuDT0YnqQZG2AjCtA2GfYieXoAjeS4HxSDcvxARGYBjpb0wfr26kXR2rfQyOIZFjgkmgEobNBrlhHHoXUM3X6DLksPDI04OJnz2ycd89PEvuHVwwHQ6w6QZl5fXnF1d8/r1GduqZJwWtK1lb3+PerumbWrOz8/5nd/5bUyaoIziyePHGCNAz3Q64c6duwyGY5RO8GjOrpacnp1RDIZcXb9ku9mwCIk6RZHz4vUp773/AZdXC5bLFZPZPudX11yutvzu4+/glcQKZuMRk8mQzDgkkVNM9+SlbrDlgna9xLZbTJaTaDGU1ibBOk/nhKWF66Dz4Gtcs6bJKw5vTXn76ICqvsYnGVYnfZJHkiTYtqGstpyfn3N+dkZdNty9e4/9vUNW65Lq579gvd4Iq9V1ZFnK0dERhpa63KIQNojzYfp+fsHLly+4ffc99vb3KMPnm9WKq6srtLJBwmNJjA69phfZibU0bctmK4z5Z18/Y73ccnAgqT93753w+PETZrMhSaqpqxbbytrZth1t26CU5tHb7/Dq9Wse/gop4a/W6I8O+6I5NvZVVfUvfWL0TtxcStu2XF/NAzI44tbRrJ+oraoztIHhOO0nbq7rZJHMQClLVVdcXm36CWBsMvM8792QtdZsyy3b7ZbVatVPpK2v3piUKgpMaEizLCPNUrq27TVqUQ8hm7v87136XV3XbDYbynLVSwWi0V2eZxSFROM472hqR107WrtivV6y3W571+yqvpmsF4MUpVK6ppAFK6B/zjlc0LzFJiidJqEZijQtgrFMNH8p6XDkexOysBi41uHR6HxEkkPXtlRNg3EqaNIFxdbKQZKj0uiSHqJ/yu0bU+x47SN1yxgj9HGT9RP2KOnw3GgOu7aTOJedDisWUjIxMfjaASVplpEqS12JaeBmI/d1NptBOma1WNOkN9Pw6P7uEWlHpFRqu6Ktlr2LujGGREs0TaTZC4hicW5F6yA1KcaklE3LYrHonfoL1YHv6H7pfZDnVjZXk6T4wV5vqhSn+mVZvkH5JxNnVecc6JSEAmUUwcuYsl5R1hrDfqBfGrBCQfba442jdbCq2xuAR9+YLkaGxu6x6DZv/P9eeaxzYBO8kgVPGUVHS9mU1I2AIptu3RtvZsOUJDfQVJKEnHlM42ga8VxQpqMYQJ4X5PmYRBei/XPiKh21mlobFPJ8FsNp0GJG0K1lfr0lMlsGxRiTaKxtKHLXT+9iAx+f+6qq6Nqyp37GtSmCYjf3q5H4LH2DCE8mxRtMoSRJyPgGk2Q4c0jZjdHtGNs2FHrG7b0B7z/a495sH7dteP70jL/7y7/i2bNntG3L3bt3+eSrL7Au5e3v/j5nwzP++vm/xjhHmngSu6TbbhkMMh6/dYvpbMDp2Sveevg2JknZbsSYdHV9zeL8lZhUBsbTxWuw7RjbjDBqytnpN9Ttmtu3DygGKT/44bc5uXWbP/lX/xc2rcIVB5wvttT5McPjR2xqcTDWTQlqTe1KjMtJGWK8Yb1ZMsgsed7glmcMs5wyfUJuCtAa4xqMrdA40szQoth2Le3mmn3dYPIDhsd3KAewXC9Y1UuKUcIoBdVuaRrFdlNzNX/NfHFGlsN7773LnZPHNKXh7OUXLLcJqwYqb7l1/5gHb93C+jWJ9nSV5+piS7nZcnr2CYuyY3B8i++8910an/LNfMMHbz0k6SpeP/2Cr5YXpIMTFusrEuWwbcVsNKRtS8rVEtc1JB6eni5YLJY0tePJk/dp2hKTKN5++wGjcYJJPA0tq7UkVChSlssly+WW7333B7z46imzfMiDh7/W6P+nPMTQMQwekKYsy2RyrFEoD01VUVW1NFOhoyvbhjzLOTrKwcn0sWtrtFLkWU6WpKgANEfA3BizY+jY4OwNGy1JMgaD4RseI8vFQvbCsKakSYpJDHmRBk30jYnr/t4BBCq5tT7E4kmm9E2zJYCnx1GWJUr5IBFwQaIiLLHpdA+tDV27lQms9YEN52htS1WWxAi4GO2KUkwnE9I0I8skLi2CqUL9DgC6s2Gy6OlcirECrs+v53gtWm2PZ1NWtK1EBReDotd5A8EDR4vu3Iuzuw2q1K5rJBkASLOUmBmfJCm2c2xWG6owMBE2Y9BLa814NA5pCVGCmKJTg/WKLgyHRDLRYoW4hHeO+fUlipAbH+QDg8FA9NRRku8VXdMyny97k0SlDTho65a26WTKGBgLCh9MdDuWy+sgNZTqp+tabMhA156QyBRiDBFJCAoGw6F4HClPVcc0Ht8zDfDCwiq3GxSauml6J3ehwhtUkG4IY0DkAiIZCEwIrQFpViN7Aehr5pvfo3pZitEJKN1r9r13TCZj2q7GrlupT3G0rcgPsnwg9SGAlzhp5z1NAK6UCoCZDSBL8IqI0gnv6U3p6m3dGwXnRR7eeakpHRqUQRkHVurCTBcIS8IwHAxwKMbbGrAMxznQYW1DYlIUCXk+IGaZO4d4Q/QswTRoxg2uk6nxYFAAHlQLdHRWJuGyJoVMgFCLJElCmucYk4qcxQfQLvzZBU4iiCWRjh6NgFCyfimaTlGVDbQJ9/YOeTiE7957iKlfcXp2zmeffcHV1ZzPP/2Mk5NjrhdrNk3H/beecLFq+ObsEpNmHO8fYW2LtY6q3HJyckKSGK6urnjn8RNs2zEeTqirmouzc162rxgOpyTFCK80r16dslytuX//AZuyZL1a0dQlt2+fkOY5P/jhjzg6PuHvfvp/R2mDyQZQO7KB5vD2XZKsoFA5TSvMu857nJVew2uRGBnlKLwjo6ZtSnQmrFkXYvo8CuslYk4bhe0cTblm5EuygWZ/OkKriixNWTYNnSowWYY2Yuy9uL5kcb3AdY692R633r2LNhlV1XJ6+QWL1YrWtiijuXVywp07t+mso7Mtq9UG2zphAqyWXFxckKQpv/Xbv81oPOXly5fsHx0ztCOWqzmn56/Z3xtxdvqKYZ5R5Lm8j8E3oqpr5vM5i8WCq6srjDF853vfYTGXnuqDD95nf7qHMQjw5hx1uaXrHNfLJduy5tFbb/PyxQvSLGU0nfy9e+d/NF6v61rqOtLaXW+ulYRoiEjF9f5GGy1O6zcT17Ztgole3WvxRUfZvOGiHqdxeS5u9aPRqHdHjKZuq9WK+XzeNzh98x9MnqI5n1Y1eapJuxTrOtIuTOKNesMILEoPdmPkYqOYFxnD0Y0T/a5bd6RqQ5gAKGmGj4+PSdO0NwqMyH7vdu5CJM/O3/2ymaFsfAXOWZqmpa7L/tzErT6jGOSiQctkgm6d6LLatiEapYyGQ8ajEan1Ugipm/izPM/eoAd6b0E1PfXrZiJ6QztXSmE7Q9d52rahrEUTvRuZuFwt+hSGeJ8FbEkZDIs3ct+j9v3qetmbyikN09mE6WzS6wuNkmtGQP+b4HIfnwHRuFcQZCGRGSK+DLZ/xnZ/Z/xeu/Tytm2lwAv5t7tH1F2BPO8mfC8PN8BVeJ52760wAVyYOCdAAAB2Du8VbXDwjXS5+Duj/CE2pVrrXnKx2Wx6w77d+Ll0MnyDzh8b293nt6dC7bA14n0W0EeKjVx14moc2CnxvsZnRGtNEqhViRavBhNkPfGznJM4qPn1q0B3M0TjquFoRBdo1zJ18iSZ6yPSqqbsr1dnhW2RDxR7s6NeKhHTDiaTyRvfW+uUJB298fxGD45435VSTIt9nFd0esikuEVa7IFtSd2C1A157609RkXG9mLL559/zvHxMbdv3+aP//i/Z7lc8v7773Pr1i3xA/jkZbieW779w++zml+Rafjetz/k7t27/OxnH3F5ec373/9RT2mfTqeMx2OePXvG1dUVy+WStm35+nlN05R88skv2GwXNE3DnTt3+N73v8WP/+zP2G5q/viP/zu++OpLDg73cd6z3m44uvMWo8kYixf34ulEinRn8TZBd9IUTadTEl2jleuf185ZbC3T9OV2zdniiuv1SjbcRGPx3EorfvDdx3zr/XfIKNms5myuL9iWJflwSl03nJ69xm5rtuWK1fqcw6MZT548RqsBdQmnp6e9tOb6+prbJ7f54Q9/yN7eHt53lJsNF6cLTl9csbiakw9KHn/4fcZH91H5AZP9E7Ik48vPP+X+4R6Hh4fihxJYXjoXCv92u6WtREN7eX7KcrHAZXuMxmMePrzH/sGUzz77mP39Pd55/I6kY3TC+BCvipqXL17w6uUZd+484OTkhB//+C/5wQ9+k6vLS6b33vlVW+ivj3/AI0bKVcHzIVLtlfMUeR7iwRLSTEy44mx+MBhAIuu6RNKCbaVW6aww3YB+T9j16ol77vRg1q99WovfkLAJYLlcMZ8vaLu2j16Lx2q17GN+I/Apw4lAk96RH8kRnb+DgZyKOeaeJL35WR2YBKLhjlNdHSjG0uTa7Ypbt44BxWazRmvDZDoJzCgxNXPWUdetdBYgjKtwJjfpA4qDg4OwdzY0TY3Ds95sQCuGgwFmKuZw3iMGfCANZvg8ow2DdIzWChs+2SRTbqehOfWRZxA04l5J840SSrNI0vvGvqwqkRQgU9y2szRd29P2nfe0reydygWZBISBUUoW9sF4T51XQecNNrjur9frXnOdJClJIvs9oU4bj4Zsyw3r9YouRBiKb0IbTPhk+JEHjyeCsV1dS13trMNZMRyThBGPMhprWxarBYPBKNxjYUh09gbU/+U9zegYrygsFhX/6JspMpEpHxgFRZERDfBckFHEexdr0ara9t5I4/EElKOqa8AFzx6pgbM0xwGXl9d0HZhEYio1iuFk/GZT23WUVSnMimDYqIwhVWKMl6VpYCcKqNc0DWkivhnR6LcoChQ5zja9Pt8FdoAOgxcfojKVkthG8QdAYmi9xrkVWiXEZA2jE7KsICY0xQFmmgh70LotHkeWGrQB7zvSTIfvFdaojsB+1hKprWJwYAAD/I38tz8UpGlCno9FChCWgiQxpHlO54ych+vwi1e89fAIfEdZ1Xz0058wmc34rTu/zf/7//n/6L063nnnPo0NBsiIVOTDb32bs7NXHB/M+MF3PuTRg/u8ePmCr55+xTuPn+C9MN3G4wmT6YRvvnnJi5envD6/wnrFZ59/wdnZKdZ5zs8uWW9WPLp/jydP3uWLz79gs9ny8Sd/yieffCKeAlrjUByd3OP+w3dovKJuG5wSoAsTDc0zvNKgNSkdSdPQOotW4rbRNDV1s6GsO6q6Zdu0VG3HcDTFdpZxnvD43ft858kRmmtc13J2cc5VVTO+lTIqZnTW8s2zr1heXTK/mnPn5C7f+vBbGJ0xn6/45pvnXF1dMQiS8oODff7RP/4D7ty9Tbm+onNe/IOWq2A+nvHo4SMG4xHD8YjD47dIk1ucXV4ymUy5dXLExx//BIklDaCOowd6lvMrXjx7zmKxIM0HHB4ccOfOPabTGevlJ+ztz7h7966sOV4kTc5K0sdyueR6seDw6ISDo0N+8rOf8f0f/JCXr19xeOfD/+De+Ssb/dXqul9IikKyZZWOTqAuFPoGpTxN0+F9i4DCLW13Y87XdR3L1QXb7bafwMesy9iYRZrbcDjsG7T1es1qteqbnxizF2PPeu3yzuYam5qqbKnL69Bk5mFSloWXWgdX3Ri95jAG2hasFc1XROqbpg0bdB42DnHSF5o94bzFMKUYzGTrCUXirlHYZrORSSiGohgj2a8ydYjNlsTNCPK53d7kzcaFfTqdkmURafRsq5Krq4u+0W+bhjTLmE4mDLKEosiFtt10ossLhmpyjbIAMNieKq7Nm1r6qOnvnWa9J00GKCUgT54nZFnCer1iu93QNOIoPxpJpM4NA0JYE11nadsbw7Q4NamqGq2F/tW2TXBHl4msOI12PTXde49JDLPJSM4tNPrCFUv7ZyA+e3HD3o18i8+kLKZJPxWO9G+rEpz5JVpu0FIqBS5N6YyhXK/7f7PrVbF7aG0wOu/vG14FxPpmsVdKUWSTnooei81dmUb8TrvGgLsgUQTLPDD03U3hxk1R0PsGhN+xy7KIYE3XyUIiwILh4vqilxjEgiwWGBEUSkzOYBA3c1kvVqs51rr+GZdCVECeJNU75+bJ8oQsTSkGA6wrKesLdCJTCEfXa/VRstEPg5GJ1vkbspZfBlCs9Wy2mz4Zoq7rG82tv9EyHs02DEYT8lEG1TWwJUsUmZuzl60wtuDp518xPX/O0dERDx8+5K/+6q+o6y3f+tY/4vvf/z51XfOv/tW/4s//4m9wzjGbzXj77bf5+kvLydEBDx895PXrl3z55Rf8xm/8CO89r1+/pixLnj59ymwmSROr1YqzszPZLO0+r19fkaSabbnGGM1v/vA3OTreR6HZmx1QVy0X11dgEs4XT2l9wuP33uXw+BirE8rKsq0qltsFXdeRmSG50WRK1syubfFOrm+SptS2QwdarANm0xnj2Yx1uUWlhulsxsyeczQdkLiGs9fPaZdnnL54RjEcMd4/Rg9ams6yms8xxvP+e+9zcucAUDS1QymJOovJI13X8fjxY9599z0623F9fcHi4orF1Qatc+7fv8+DRxMGs2NOFxuaLRSTA44Ojvj+D36AarZ8/Dd/QVVXfPDgAXlRsN0sKV2HbSqW1xdcnZ/SNiVpknLnrUe88847bLZrrq7OqOua2WzG/t4+rZU9pmtrtpua8/NLri4XmCTh4cOHlGXJw4cPSIzpJ2q/Pv7THF1dSeNrFFlSQNSVy7w3MM80pshF32s7kSK1Dbbzffynd47l9TxQZiVKziSG/f0DwFNut3hgUBRMJzNhbYVz2Gw2YfAh0iJjpNmeTicMhkVP/48DBwEwO3zXhCJPNOhaRzNXg9EpaVr061ikzDtEH5+mImG0YaLqvEzshe4vFGSto85eY7RQ12ezfYxRONcxGg8BFcASqGuJt4ta+BjPBjvSM9uFybBjuV6HayC0ZaUUhwcHMoTxsrfXVc12u8F5R6ISlJfzHw2GDCYT0sC2siFmUExhm/58ZP+zoflNGA3HgS3X4JwN112mntGMLnZY2hjyQYFDcXF9jfWOqpbJ3nQ8Jc9EUqCVx7uOtnPBII1QcxFYCDcAeDS6VYjBYe9pgFD/t5V81+FwSNNqVqu5SBiSTC6ldz3I46xluZG9SCvVJz8oFLYqqUPso0lMqAeGoTEQLT9KYeKUl2geHVmOBpSKxHCUC6k1EkogdaoKTvaIftyEib3Q26W+0srgtA6gigAKw+GA3j+ia4N8Iujhd57HsizxaGmgvaauA5sAaG0bWLaI3DAwHL3W8k5oQ1nW1HUbhkNSe3XW0gWJ7mq5QimJX46DMiPG/CitMAbyNENpQ9O0rNYbuZeoUGMYTBKgIesxGrI0CbWs/L3zYsTpvWc4Gshz5hye9mYKrxU6Sairhqoqw9BEc+vWCWVZst06mSAHeQM6sI0AtGe13rAM7NEkScPvteAtyguVfX9ffK7SNCFJM5QpSEyG8w2pqxkVCWdnr2Fzyd17D3j81kP+8i/+nIurLb//B2/z9jvvYEn4i7/+CX/3k59grdSQ+wd7LJZX3H94l8ODfc4vzvj5zz/iD/7wDxnkOZdnl8xXS9IkZTQckgRgb7mY8/OPP+PV61Osg+fPn4OCo8NjfvSj3+Lw+JBPPvmM/f1Dfvxnf8nLl6dYvOTRzzf85j/6ZzhlhGVPMFSvS1p86MXS4Jzvwbe4qkJ7K274SlKdnA/+LFnOJC8YIgMynyaM8pS96YjJMGdzvuBy/g2n569YO8+37z6hKmuW5xdcXcwZ5Dl/+Pt/SJGLhKeuS+q2RnmRP2Gh3tZ859tvce/uPZ5+/RS6LYurc5aLFc5Z9g8PefTonQBQwOnFNXcffIvJaMpoOqasKz797Bcs5wvef++HjMcTurpmtVzQtSVVtearzz8nT3MO9g+4/+AhaZIync6Yz5e0Tc3dk1uoIN/dbhuuLi/FPBbF6ek5nbMcHx0xHAx49713KQYZ7vqXOcg3x69s9Jer6x7NTNOQM29jQ9r1euvokB8bEWl4XI+KOecYjnJmsxmHh4c9unfDDLgx/YhN8W4zEifDs9nsjQI9TjljsR9pu0VRMCgctkv6Bl9c53fo+cEcZ7Ndyu92vkcRnZPFOQvAAEGD3ZuchF3BmCS460tGbl13NE3dRxBGuvHuobWhCo64Wov7adeK42i3o1VWoTmKCzoo5vNLobqnArp0tqN1TpBTpUkNVJsl29VcfAmMIPwJu42NGKRELR09hcjRdU3fhHddx2g0YjKZ9CwHWex9f96x4Wu7Co8lSSFJwLmW1boOebVZn8XrvCNNM6JUoLNRuy4bXJKCScQZvrPSlA2GKUV4PqyTaBjw2Lamrcq+6VXUGO1CcVX3EpNoBhaNGm/y2m9c7ePUpp/kmAHOvDmZyTKJrOs6i1cKbxRDfWMUEqfusRGOf7K0IM+H4rIcwCrv9A0EDHhilnzbswLis7zL9Nhut/30OjbocIO+99r0v6cBiQyBOMkAMabbbd6VktjMKHmZDdL/P3v/9WPbduf7YZ8xxkwrVw47h5PJJvuQTbJbHe9V6wpKsA3Y8IMfLEN/ky3IAgwBfpFhG7AhQ5Ytu2H1vWx2k92X4eSwc+1duWqluWYeww+/MWdVHbIpQFDfJ86Dwtm7dtVac800fr/v7xu6CUbrnq61vhG5mGU5s9kF2ojuUBtNYAJMoHCu9qwGydBVymEs195P3JXPL4S1UlZziupUTNWSntf+afIsY+VplEmSMEj2GA7XvMmnMByu0/bluNQUZd7FTLYsnJah0zqvG5cxT3MwNUG8IgwH6KZgHKRMdjTjeIfCFty7d4979+7x/Plznj17xj/7Z3/Bd77zHQ4ODnjx4gW//OVHnJ9fMJhsEkURaZrK8UwSPvroI+oiY39/nw8//JAvXx7y6aefdvKL1WrFaDTi4aNHPHz0iDRNefpiyltv3+f5i2fs7W1z7/5d/uAHP+Szzz5mPpvz13/9E/67v/4J81VKlPQhiHjw8G0evfM2i1WKDSxp0VBnOTqQbNeWXtjQdNQ55eS5HUQRtYF+P6YfRfTdWNgtSkkR5K/ZB6OAcQwnB8+YvnmKyxcEGrY3t1BaM1ssCaKYe/fuM5n0Ga/F1E3O5eUFZ6cL5tOK509OUEhqy3A44N69eyRJzMnJEYcHz0lMxM72Dhtre4x6Q4JoySzLKYqK/toWYRhSFDmDQR+jLWEQUld1B1YVZUGkVcd6iaKIRw/ucefOXS5SoQ63101RFvT6Y5bpkrouyIuMs9NLppdLtDLcv3+ffm/YaYU3NjZ/47P9d9s/7baYTf2QQYptE4qeXCtFUVXQOL9GiEHPyptbOejy1ZtKAMMgNERxyNDIhL5thLTWjIYjlPY0eA++t03maDwWx2wTsFz6pB97fWontO2kJ1puAaxrYdxZC075tVc8TIxneeGUBAV4JkJnxqWcB5hdt2Zcw3ClaXINZVFIA6MCrowBheqeZyuyPJVGunGAvlFfibxKefmC6yjyTVNjm1qi6q4G/h1Qenp6KrWQUsRxjyAw5HmKs45Bf4hWimyZki7mZKnEWCq/9rfD5cZdRbtpX/Qb31i+zl8jkgMZfsRxLDn1fsASBIGnrcugYzqdYkEmok4RGkNoxI8ky5bS8NLq87VfrwIPwOPBDQGn42Tov+euWIN+wNJO5eqmQimRHYRRQlXHOLz7f13RNN40t5aUgrqqaA3tWuTINY7GKhxeo2wNyuhOV9xK36ROg+u6+fbKlhrBYpVIJmosolVoTfSujpcJEoyR5rSxzl/jIh224gco++V9ubIsB6+pb+vEthZ0Tu6zzg/IX7lGQRiHEvOmFIqbEZDyevome6CtL5sGZwsP4gmwEScRo+EQeWYXcv/Tsg8cRZmjlaNxDdrJSTae5WIb6xv4liIv9zIo1tc3pA/ojqOjruXnFyeXVFXhPQ4kNlGGzprAJBR5Q5qKR4MMNlL6PolAGWHGFYWYG7d1pVwbAhLWVc1iPsfahjDUYhDp32O5mBIEwroNohhtElABiSt4uB4Qh5Yqy7i1u83O9ibnJ8d89OmnfP8H3+EHP/oRx6dnfP30Bf/6F79gOp9iwpgwiZgtpoSRDDq/+vJLptNLkiThBz/4AR9/+hnPnj7D4sTNPS+I44Tvfe8HrK1vc3R8SpZl9PoDLqcL6r7l8eO3+L3vfocnT7/mcjblv/3//hVPnj6ncZZaadL5nAfvfsCdt96mUgIAKeU9q6wHOHCEUUTrTaVsjWlKNOCCgMppTBQz6ol/iFXag1oi81Ao1nuGyDS8efMSzl6zPD9gOO7x/t1HhCaksKAx7G7v8eDuLeIwFqZ6LgDS9HLBq4PXoCOsg7W1Nd556y0MUFYll+dnREZz/8F9kiSm3x/SOIVFUZQlg+GYsqxg0BAYRZKEjAYDlsslm5ubFGXBcj5jdnmJoub05JDhcMzDew/Y398TSRawWmVMpxek6cLHLzak6cL7js2ZXU7J85L33nsftCZO5P4KjcRzm+sLwze239rox0noiVQNVd1QeOf4sqoovaN3VVXiQGjFfTUIAloSVhCGJHFMz+u22ql9O4lsv67rVVpteL/f75rMluLf0nTb32upyi0Q0Oqz5SEk5jBhqHGuYbnMbhjBtY2O/F1oNjjnKXk5rrpq2tomWSbvHr0uCgTdbvPXW3ME1U3xq6rqpAfte7WNuzSNopcpy1J00rVM1kGh7JUTbl3LQ0sySy11LU3wKsuYzWb0+316SQ8TGIZJQhhdUdabqiK3V4Zt7ddyKQh6mynenpdeTwz22uOYZVk3BZZjbrvPg3+wO1d780QDylLVhaeza4pStNTtc/46Bfyq2RNH2brOuyKlbcaVUqwyoac3tc/HdRb89Ls1VGtsjlK2Y0e018R1MOn6+7aT/Fbv3jbXWmtyFVMTdoWfUrLAtNGMIEhyv7k6zyAN6HA47M6zLHKhfPlFMgyUp4JdSSNkIl93i2F77NtrtD1HLShxnTVwPadeFjLLsszEoNF/ntbXod1aUKK9f9v3as9Nm6yR57lotP2x6/V63vQy6GItBeBruimIoPWuQ/MDE2Ai2Y9Xr47FzEbrrmgJAuOPq4/GCUp0UFGsMrI8ZZXJw6z1PxAgJMSVC3r9MZPJpAMc2mv4Sp5gu+PXJipc0W+vzm0vmVKUNcuVFpAub9geRfQDmMSKPiWP37rPRtVwdHTE0dERi8WC7e1tqqril7/8JV988QXHx2f0e0N6vR5N03D45pDl7JK9rQ2M1iTDIXfu3ME6iX371re+xZ07d1hfX2fps7jvPXzIaDLh7PCQ/+1/9n/k4eN3GPws4oc//CFxEpOmKS9fviEwCZ989AVv3pxTKkutckabI+JhnxcHL2nCHms7d+iPN2gqMWMKjSHUIdTiYN8oC7akzIWO1gBVnGIDTdBU3X3jrCWJY++r0nBrfYwpDzk7fEHQ5AwHMQ8fvkPUmzCrHGXVMBxP2BmP6fUCGrfykzjFYDDgzcFrDg8P2d97xGDQZzgacevWLXHhPz2laRpu3b3Fvf2HKBtTX/MmUUpx69YtnDYdAyYORXe8tr7G1uYmq+WS+WxOls6p84ydrTVu7Wwz6Mc0dc1gOGY2m7FcLFguU/IsJ9ze4Pz8nCxPKcucPKtZW1tjZ3uX4XBCUTQcHh5x905MUaQMB6NfY+/8bvun3ZwtCXxMblkUuAIfIQZ5kWO96d5qlaERgE05oXI7WmPeWCaq1xh5UdR6uAjTrwXwy7KiaSTGdTwZE4abOCvSsVl2SZbnHgQVwzyZzksD2UbWOiza+HUvlOY/DEUGtlzOKYrKT3PGgGqZ1QRaJvUOibcVCrD1U1G//voJNE6cmGXi6iPRrO0m8EFgCENpUrOq8NPJK8qxsMskAs/ahrqRJtW62pvxgWuHAtABpVEkIIvWnrU4n5OVOU1VUZc5YRDQi2IxkzUQxUFXg4mO3Ha1VZEXfjo+IPIGg9JEBUwmPVmT6pKqKmTCboWa7yzdutc0jgb5s3WNl+CVOFdSlQLw+g62GwAppeX9lDd7MxLxulhMu0GLVpqyKqmrUmjx/rg1Td3VH8JoENAQJ/WB0VeDKqU0Jja+JpDzL0EOMl0OA4fCEEZRZ9AXRfEVG87XlS3L01Hj8PGFPn2pceLFUK8kNlAulZaFawAB4MM4BjS2qAgC8TcQajCdh1VbJzZ145vVq3WzqWt6vT5hENI0lTjIeyZqrzeQ7HNcd585zzZQ/hjLsW7rauu9faSWk+lz4+9NceavtaYqc7S6kuc1jcU1NSYwrK1vohQs01Qim60YoFkrA7NAKTG3M5pQSy2VZRmHhwf+Oqpparl/JeatZbrW/jiLt0AYGZwFpUJsbcTYW4kT/Gy2lJ5lPCKOE5yGqq5Ba2HWau1lMgJijMcjdrY3cbahqQqUN9wUhoLDaGFalLWAfYNBTOIco55ievaaD+5s8ODuHl9+/jlff/klp2cX/P53v8vx2Rk/+/m/Zr5YcnZxSmMrolDic1++eoZrGiJqIuV4+913MFFA4xxrGxskp8f86Z//eSeHCk1AGMbESZ8PP/x9/nf/6X/KD374I/7r/+a/5dvf+X0ma2sorfn66TOq2vGLX8igw+IojSaarDO8u89PP/uI0XCb0XCdjc19QiNRgkrL0E8rDUaznM6Iy0sil5KWNQurCIeO2CiSKCKM24j1Bu1qlKswrubu9jaxzTg5PSApVkRJwu7uLTbWN0i9Ifv6eJ2dzTUCJbKKxte3Tok32ddPnnL71gOSqMdkNObW3h4KpLleFezcv83W1kbncbJYrsjzkizPeee990Erqion7idgK87O3pAkmiQxzC4vuLw85fL8lGG/z+1bd7mzt4/CUJUNUZyQ5znLpTT1eZGCGlNWK9LpisvLKcvFku3NLW7fvos2AVlecHF2zsbaBk1Z05QVrv71FLt2+62NvnOVGBH4hkTow0L90sYRJyG9/lWTJFPRwNOIr6jR0ozcnJC2jdf1v7cLSMsQOD097R4u3eRWqW762r7nlRb4KstckP+axkoDXzeC4rVNeN20MVyNn8rqjh7dUdm1JgyjjrVwFacm1GuJKhMKWN1UGD8daIGKdrp0XVdX1xXpatkhpEGoiOKEgYv9IijFhjSUV7/X/nxVCWugLmrGoz5vP7hPVZUslymLxVy0LTa+MoGpa8q6woRB18THUcxgOCD3xkXtwq+Iu896XWd/fWtsRevH0G5yzuS4J0nsI1BaAyJ7zQtAzAAbW9L8xmvSec35NfTXOVwlyF/bCAsoIMc79KkDURyjg+vHS3cSislk0kk8yrLsmmN5rbq7ttoGuNFKknMUNMi1lC2XMs33nwfXkFdLCu9TcF3v3l6bYgjYk4WjBUv8xF5pTRDERKFMrKOoJyhnW6j5a73LoL9GuW/3u71WO2aFBx0KGgKvq28BgNbgzTnJom11d+01Ldd1dcMIMwpDdJMLTdTfd+1XezwFDJPngQm8UZatJSPWp0EYY9DG8P4Hb3exfy0o1060y0LArrKsKSuH1iFRGHsAKyCO+iRxceWtMNxA67C7JsIw9N4gVxGbzjUUpbt2711JiVp9r3hIJMS9kOF4QFlFuMqRqBJVpSSqjy6XuCIgzSzHx8f81V/9FaPRiCiK+PGPf8zp6Sm3bt3i1asT8qzEpSmaPl9//TV725s8evyY8SAhnU+5tb+LQrG2tsZ7773XAT1vvfUWp6envHz2jMFwKI7gszOa5h5hrFimMy4uawaDESfHZ8xmK4q8lOMTNqzSArSmtDW/+PgjVG/E9iJjfecWYdzHlSmurjEkDKIJ/XjAqszoJ1fSj1VVYtdymlTRVBVGG0aDAUkUsyrkeTLoDyjmFxTTl5Av2N9Z49bOBkEYsshWxP0NNrZuEw/GbMQR88UFZZVTeF+N2Szj8PCQydoaO7s7nDx/ThInBGHA8fEJQRBy5/FjdjZ3kDSLEqMMabpima5o1IDNjU0ulwK0Wi9X0VqxubFJXTecnZ1hm4b1tXXGg33WxgOGvRjtGqqyovLeM5eXl3z22afMZheMxn2OjlLKKmOyNmZn+xZ7u7cZDEbMZ2IS+vHHH7O+tsn6+ja9pM90+uy3rJ6/2/7H3pq6pCiuvETKpiHNUpErDQeYKGDcGzFelyg17XTX6IMY7SVxT0BitNcrt6Cs7hrQ2juVC7jek6bOSk0isbwyeYvjUBp5PxUMw4ggDLt0kJZq3ILDrixQWknjro3sTyJN1mx2jjaaoihlst6tlwJiqFbvfh1kd1e69sa6rolVGsJIagZtgm566qxGdxni0ujLoKHunpFhaOibGGWERSBDW4v19HXFlZ+Ac2KPtVguaOqSfhKxtbVGYALSZepjCy1VWVA6J5I1EbnLkCEMGfhByHg8loa6rDrQu60bGt/MOmUJgmtSMNVq+jV11VCUJYFfa7QRyrYywhQwyngZg+2YeQJylxTFqpNmKFrqukGr1k/BeamquAvYbiIp32tqK9psNBvr65Juo70RqvaFRHfSpMGXfl2zubbpP4vxQyPRsFsf7Wido/JDBtlBcXe3TqSyEudXSw1qBeypPRW/PUZaBWgVYnSIdeLYrZWAUk0jtYRtHEEQ0e8Prl1fLQtFjqH2BrsKgwmMT1MICWlZh02n2xencV/7IYywKIoJ22QI7TqwHxCDMic+U0qmUv7z+5hCDzykqzmgBLAIDGFoqKrMR2obokEiDNmivHGPNNbKPeJjBbd3Ntnc2ugYObaBurHeP0H6gLoRZkZdFzgakkRkqWXpKAsrIJMf9gkzRFgZeVWIV0gscZOBBw4Bkl4CdiweUE2NrXz/AWI0Hch1qgPxPEJpGq1JlwucWzHuT9he7zMchpwcveHl8+f87Gd/z2R9nbv3H/B3f/e3vDx4RX84JCsLTGQIYkNVFzx58hXvvv0WH37v94nDAAWsb20wX6Wsba7z7/77/z5BGLBardja3GR+ccnhwWsmGxtcXFywmF1SFQVRoME13i9txmKxYp5m1E3DsD+gQrwm6jhmVuZMzxf0pzm3ti3G9FDKm3NyJeGuGjGaS6opVTln6RLSYEDSaMq8YJkXRIGh3+8xSCICV0I+Q9Uppy9PCVzJMKi5e3ufjVgz6cVUeYEJQ0xo6PWGaKs7yXm6zMjSFaeXp/zqk0/Y2pIm+tXr12KQ3jSkywUKuP/gPjs7m9RNRVk1ZEXBKsuZTRcobVhf3yRfyXXS0zFJLwAKHj64Q5rOmC8uqZuCwaDP7s4u/WSAIyCORNJcpEuWyxXz+ZQnT76iqgqCAM7Oj5nP5+xs73Ln9i22NrdZm0yYzuakacqTr5+yt7tHogNCp8im83907fytjb5SFpTkWjdWIq/yLL+GEkqOaFHSPQTa/1tPecM3QM7++lt905SipSS38Tld3I27YgO0QIDs31Vjd13bLJNag20cRSEsgFZj1XganTAANUVZ+Ki4xCPfIVE87ChXSinqphF6uqv86yskDqX2D6rGfwUdvfn6ZP/6BFmQ+QqlAqHhXzMDlAxxoJFov07DZ6400UKbFw17vsr48rOPkFgdWbRz33he32qB4UnTuadvCarZUrKVFqQ3joadF0JrbvhN3XMYgjI3KSLteZDPoqkqyZlsfGNV+bSDb7rDO/dNShe/9jPKQeDEvdd4Q6Mg0hDFnQO/1mISdh0guK5vF0Aj75rA6xKTtuG7Pk13VUZdp7T+BS2dT9uGuhJNZ9PU1OqqGGsnE+212k48oqCPIulAJGluYykKO3DM3Ji4q65QvNLqtzr1dnLdNrXttdYCG3Vdk7va6/HotPvtNPQ3HePr79u+X9M05E3DINJY13Tmku31cHWfaaI4YDCICQJvdteBQ94gqRCjnMU890abY7a2NkiS+Bsyn4ayKkjTRXcfFTkMhz16yZDAlP6caQIzxOjgBtjXAh6AZz5cMRZaYPGbgIzWGtsWjEqLqZF2RNoSW8ud7Qn39zaoZmd8/fVznj9/Tq/XI0kSnj59yubmJt/73vf48Y9/jNaWJA79exmOD4/5iz/9Y3a2tzk/OcJow872Nv3+iMwFnefIbDZjPB4zGAzEI2E241e/+hXT2TnoGmtLjo8PsVZR5DWXF1PCIIEoxOqA/hjiUUnYT+gNBphhhIsGZGVBc3HO3u0BcS+hynKqrGKWz8lUztq4L9e9gv5gAGHAudGsqoKmqlG1JV+tiHRAiNzfo6jH8vyIzaDk4b19bm2O6SURF7MFSsdsbm3R29xisaqYzmYUeUZZZ1xOL3n58iVffvGCk6MFbz38DraxXFxcdMBukoy4s7/LZJhgnKLISupC4RrH+fk587RE9+Xakutdpo2VZ6YEYcBiMaesKsaDPttb60wGfQJlqaucuiyoq5rLVcZiueTNmzccHByQ9ELyXCLW1tbWuHP3Nrf27xFHfYpCNKLz2Yz5XF47zzPiqNcxeX63/ZvZggA/2ZXs6caKM3ztLPPFvJusO8R8dpAMuxZLK4VylsxaxBRVJuGFj0WVRktdTWqdxOslSdJpoJVS3pfBeXBW6p90tZRG3Ch0o3CecqxUQL+X4EAMR8sCW0lEqmtqyhKhhzeWsio61hfQGaAKi47O0Kmj1zfyOQMj94Nqk5sEVqZpKqpaKN1lWVCVJVoZFEKNr31EnbAGhP04HA8wxvlBQulrHGmU+oNhB9gGQQTOMZ/PaZwljiOiIKBpKi7Oz1FOADrn5S2yRonMQgAGDyCAP66a5XIhAx1/PsIgYrK2AUqRLhY0tqSscqFue82zrJEGEHlpr9fH+jVShhdyTpTx2mpN1+i3stIWUGhjpFuXe4U0QnXVTnS9fALf4CMMPhNqiIS1p3V45Rvg5Dpwrj2GMuEVurumaWoUmrKOr95TKaylqyMkCtFR1isxTPTSEFTtr9EKR+118zWVlc9udEgYxP5z6K7Rl6/2M4rZo9aaJO7TxiqGgR/IqTZeznY1YusnNeiPWKZLlouF+PAY3dWqwo7lqmZFvHIaK1R3kdMoL9MIvHTF1/EeZJH6xIMqHmRRnkkhXhxQVQ1V5TBla7inPatApKxJHHvApgWF8O8TUtcNx8enNLUwMibjCePxBKUCNjbEJb+x+EjEFcvFXIYGRcFinpH0howmfZxHECWyVvnnhNzBKvCRwNp7JzgBLwTnkmtOOWE+2qpC4yCQWL/ARBgHVV6SlyUEmkg7Ilcy6WneerBHPTvhzavXnJ+dsr6xzmx2yedffcmDt97i4btv88WXX3N4NGO8Fsvx0Yrz84z79++yubnO4eEhcRTz+K23yYuCKOlRVCWrIidbZYz6I/qDEYEOuZzNefr0OcvFkroqSBczzk5OxEW/P+JisaRSirpRrE02qJRi0I85qypMGBMlhiAwVFXJ7OIcow39tTEmCCiyjNn5JS7Q7O9sM6kH5KfnKBUxHI0onaGs5HmZuobZfIZuKhIy9tdihqElcordrTH39rfYGiWETYEqxMTZRCE20ERBgEFhG4nFuzw/59nzL/n8y89ZZBUPH/4eVjnOL85xSlFWBXmWsb29yYOH92iaktPTOVGc+CjulIvplF5v4P0DwDlhttQNFFnK/u42y8WMqi7o9xImuxP2tvcoMpGZOWRwe3F5yXw+4/T0mI8+/oi7925xp7fPcjnn7t077O/dYntrjyiMKcuSxWLOdHrJ0eEbVsuUne1tAmNYzv8HNvqffvZxN2EUypDqaLI3YiT85LAtslvzNTHjklzUVdrwjZ6ua4BbZ/bWFC3zkTCtU/h10zGga3JaPbnzi07bHIjZQ0G6Sn3zLpO7lpJ+ZQgY+Mk8KB0TxUIHPTs79o2VsBeuG64lSSKFvon8w18e2mVpKHK8jqwnj6RrDUbnPh8b4uSm035Vlb7oN765FlrflTZMmqvpdNadj6ZpCLVhfTT0EW9C/w5DfW0RlAWuCQzoq+axbXZaqna7wLjmakLaNsnf3Jwqf82Rvm0+G+vIcpkyZ1nWMUDa1/kmaBDHCSYw3d+VgiBIbkwtlHMEtSw0RmvJY7et6Z03l2sadBBhwpuU7MvLyxvXRPv9ttFrm2C4alyNMfSjgNBolLVogdYZjUQjVhuoA0VjDRVxB+C0VLf2fmhNJotMk2eyOElkjUyrrYWiqMizspsMtOBA27hWlcT+1XV9Q4rQNkbt9XX9/jPGMPRTkpbu3B7/NBXN6mAwIIqiX2v4r/+9BcUmfYmlvH4MjTEUXroj57qkrJY3mBJX6Qcak8hCHEU9D0atWB7OUXjn9zAkjmL6/YSBGjIciIN6UzddcdHq90Amc1EUd/vc3kutL0Z7f9RNSVWtun1uwZ3rzX9VVfQoiRIxlkyiPqZxmCxnYzRgGBmmp284fvY156cp3/3udxkOhzx9+pR79+7x4MED6rrm8PCQi4sFg717xIMxvSTm3r07vP/++6xWKw5eH3Dv9j5hGHF6dopKxrx+/ZrxeMxyueSnP/0pW1tbvPPOO2xvb/Pxxx9T1wUff/wLXr16xWAwYjHPOD485/DwhMeP3iXLCj75/FNynTPZ3CLsDdnY3mKwsccsr/ns65f0VYgymn7SZ7y5TS8a4aqAalURGkc6P2YxnzMaGrb394mTW9RliXEKqgZbVBjrqFY51A3UDcN+wFt3bvFgf5umSLk4P8NaxWh9kziOycuKsqpQWS6L0vyYg9fPODk5YX19nY3JbaKwz+XlJcfHx5xfnFPkBVtbW/T6IXXdalkNs/mMg+evePHqlyTjTcKRSLji3phsuepAsMozdZxz7GxvMxn1CZSfCmmf240AWPP5kpevXvGrX/2KL7/6ku9977v0ej1u39ljNB54N2q8uVLmPSQuWCwWnJ2ecmv/ro9ezX7t+fi77Z9u++rLz5Hu1KAD+VLGgNYsVyuJMNPepEtrVsuUbsVx0thj8RPZdo3xzWIrkzKB+PN4QLiqCsmb989Ga4UWL42jvEZZ5QyHfWmx64qqrjg/PxdtNQCavCjEpR7twYNWOma6yaVCoY1M9ohClBHNftOUPlXH53R3xqxiGNfJz4xQ41fZyq8FwlRIkgDNSD53o3C1uJYbE6CDmCgeCJVaNygalosZWdb6BDmUMmIk5ZleYRhhG0eWrXDOkhcZVVkRGsNw1AdbEwU9nLX04kgAufa8adNN4rUJCEIpQXu9Hnjzs8aKYWcQyLra6ydYa4iagKZJvMzLAlqo2k7ovNlqSRtbKGwGOeeudkLjdw1NUwndHrq6smmZct75OzABkQmvdPW0unyZQqugbfqRwYxq04zkmBttOpaH9YhGYxufpiLojlDYHfP50RVNvM1a95dmv9/vrtGWfWKM0Pb7fTGLs672TI4IS4xziqaGulYYHdHvDTAmJAx6BEFAURVU3lC61f+3bAIB3AVwynOJvY1jH4dsG1+zWBaLhdSfQUgUy/koigJjvNyUq0GL9fIShWEwkBpKrumWtWi6ulA5Ry9qa0JLVq6obQlestJK/pRWHSggEhBfw+mrVARJn5KaUe5bumMZxz16vYEHjYS6f3xyCsr4uErv12EMUdxjM4rBeV8wPAjgxFG+rhphjHjwzxgjAJGzLJfLDujRqCs2r9Ksr60TKEdd1QKquwZVyXUbADoUJsBoEKEMGJcR1pb9nTEnB8+ZHb1iMV1y795dn2ZWMRqPeffd93jx+hVPXjynso4oiQkjScT44IMH3NrfZTqbcXRyzO1bt3lz+EbWWj1nsRJT4rosefr0GdubW2ytbzJe3+KrJ8/Ii4IvvvicxXzBxfkFg9Eaz56/5sXrQx6++wHTw1MuD08pjWIwHjIejrh37z51E1Ctal59/ZIiXvLut7/N5v4+ZdUQoDBK40JNoCzq4ogkCnFhH0ZjCi1y5aausHVFoCBRFl1MseWUfi9m3AsZ92LG/R5RGJAuZ1CWDAYjgjCk0qC1o8wlXu/i4oJnL59wfnHE4wcPmacVG5ubHJ2e8/Gnn9CUYth65/Yt1taGLOdzaluRrlZYpfjo409YLFLyvGBjc5s8L4hNhK1q0tk5lbVoRHoR64jN9XXW1ydgFWm6AqsItSS3TadT0nTJ5eUFn376KQevDtjeXidJEna2d7h9+3aXcpXXmXhq1A0Xp2csplOWixm721ucn51Q1f+4Z9BvbfRbXaU83ONucni9KWpz19tGByRSptViCT029k6aNyfBLT25nVS2zef1xrqNPBsMBgwGg84ErCiKLmqvzdZumzZpYA1bW5ti1mTa19H+vWQS2L5mS08XV17RgXVOpFp7JLhmuVyxWMyJvAa+pdq3EYK2iRkNx/T7fYqiIF0uJa81DIlapkKo0Oamk32rh87zoosrkai1NoZPtM/X/QmsdVRNQ7qckyQ9aaySqKN0XxmcCBVRhxJj0SYPSFMtDWJZFpRlI3RH3wxfPw83Nq0R9sLVdp0CLtQn+QKuipCgRfSvtiSJxQjnG9fcdWmA6MQqnHUUzl5rRpVHSH0Ei4JG3aTuy3G0N6j04q3AjYYQrlB0BWR1hnHVDdCgSi+lGOqUj4omntzQx193v2+n34Eek8TDDgAQZLPmOtAjRoVV16y2QNT1OLx2X9uGv923NhbveiTUYrXq9ru9t7TWnc6/9ST45ta+fhzH3XWp6+yaqc/NNIDu71RYl8tkx+eeStrBwoNhHgCMRlwVYvKeWb7CVAGSeR9gVA/bJMhpMWgVUBaS09t+DhdonCtR6gqgac0Dr3t6ONdgr3l4XAcTW/DDGENlCylybIO2Ndpakijk0YO7rI0VFyfPWaVz/vAP/xhjDD//+c95//33efvttynLkn/5L/8ll5dTdnbGzIz21LCUD959jNKKTz/7jIMXz3hw9zYmMPzi578gcwGPHj3q4oJ+8pOfYK3lnXfeYX19nYODA/JixcnpMYulmLOsTTZ58fyQLMt55513icIeZ9NLvjj5nDBb8Z0Pvs3+7VssS0XdFEyPjxhv7zJZX6NaTJkv5mSqIglGJGHCoBehGWObMUlco40mr0rKPGcQJwKsKcnLNqElig3bG5s82G/YWluxWs6Znh1RFjm98Qbr6+usyoqjiyNMNGB+esqz519SNynbO1u89dZb2Cbkqy8OOD685PD1lOPjY+7evcujR4+Iopi6LjHeQKxMG05PLjg6PuLx48ds7N3j2eEly3TJ5nDdPwukqKuqmq2tLYLhiNBo0eOXuUzfA4WyTVegvDqcMp1OWa1WpGnKeDzmzp273L69iwkUVV1QlhV5VpFlwrh49uwZz58/p67/ip2dW5ydXfz6s/F32z/p5gfWnhUnz+C2gR8NJ6CUX3sqD3aDcn56SdsriaY28dK6oigpq8ZPc7n2PJaYLmclruybWxgGjMcTAAbDmNVKJpx1JfXQxfkF3voNrQxBFHp6uqE/GOCcOOA31hKGhiiOPe1c9MTQ5sZbptMLWvmVuLL7STWWxWLqmxtPp++0743/sihk4IIF2yiU1WxsbIiW2OUsFqk/vg1aOaqqkCi3puHy8gKlDJk3FotjkVNZB6X3KcI/h5VW5HmGxpIkfc8gaFkKCqeMz2X3EgAjzTzKeUd0oXRrJ54+Rb7yr93GARqUsiht6CVCAc4z8TlqJQxat7LJ1k3fUjcl0/lcXgPTNfrKN/rtNhqPCaNYvJKspxxog1YOa9u4RZFONr7BFvGCQREgSQqBl0k0N+QX3aDfX4m1rREBiUhBnGqAWqj4Xl8+W0yxjTcwNsYbyzXgamYLuUaCQBNHCSZICII+xkiz66yjqmsW9Qqhuks9FsUBQSQGhL3eQFgFZe3ZUS3NQuIqlQcj2lq0BTpapm3HfzDio2Btm9JQ07IYRDfjWSdO+XvWobiasuO8P4IG4/9zWMbDdQQr81R+11AUKbYRCajyqIJWV8/htoZr376tW7pau6xZrYS9Nej3ULqVN4gpwCpNMWGAMmIqTNNQFwXGCMvWyFTQU2iUBCJoMdNrhSTKMwM31ta6oVddlhilGfT6nQu/DAFDjFYEWhHHwpQRlpJDNxbl8G78NY/v3YE65+T8NfnFGe+/9220ifnyyy955+23efjgIWfnZ/zkb/+Wi4tz9vfHXc2T5znr6/coypLDw0NeHxywubEJwNHRIa8Pj3n81lss5jOU0vzdv/oJ2il2d3bZv32Xv//7f6CqSj755BOCKGZ7e5vBaJ3pNCXPCvbu3OX33vk9fvJX/z9+8eVnrMKAD//8z9hY32I6TRlNhvzDm79j8/1vo4GLczEJ7KmAJI5EYk2Nq2uUs4RaYT0LxyEMEWNCVONo6gKsIw4M417M/tY6t/a3GA0Sjl8fMD0/YWttzCgI0IEM7Jq64sWz58wuLlllKzbXN3j/3ccEoeHjz77mxYvnHByfcTk95/7duzx66xEoJOkEAYcba/nqq6+YzWfs799hb3eP5XLFbDrl7v4tct+74WXf/X6f9fU1z8LCX/dy3xZlwdxP5uezSy4vLzk9O8Pahp2dXR49esRoNOrqd/k9zxixllcHr/j4k0+I4pjef5hwdnbWgVq/afutjf54vO41FDFxnPimsCRJ5EbP84LFIsU2Xpfsnfl7ifOU3ogkTnzUXK8rsNudlweV7EJZlri6grqkaE23tGY8GpDEMSYIsE1JerkkXS4FRTMBg1DTMz3qJOwaJ4AwToj6g+4GN0am91rLA66dzOfFnCxfkWUZl5eXZGnKYCQZ7nHiqdVobNlQOEuR55RLoYHHnoqvQoMKexRFTZ2dc7E4pqxkoVRJQpbW8nBSLTvAT/vxsTD+oaqbhlgpAt80t3qzlrmgqtI/xMSjVZsAG0WkTU1eiJO+BUq/wLTNa5U3tGaI7YOvLKtOqmCMQSO0Q5wYHLVupd/cClvSdACI6hgLoHDOdiBDr9e/4dvQUrmuT2BNUNM0GZl3Q3e2jQ7yhjq2kclLE3cP4xZoarWQxje8ppsEXIFJbTPXglHtQtBuLdDUHpdWy2jUEOWU1wjKMVzl5Y3fRYHLU/K8Io4Toij0errqqqkPFehcNHe5fy3rrrTzHqTAP8iKPKesSsG/A0HZnXPUlchmWk8CoFskRUMngIf1yRG23+9et5tmAybUKGMolcNWJaq8AjqMvw5jHRBrzx4Yaoo8pU3YaI9HnhcEQURZCtNHRxFNEFIHkTi8hiGjwaY/7i1gpuglayjVGnGK9q+dsmZ1TZM3GF0RBJrKyvmKFZjYYJKY4Nr5r5crAq0JTEQcJx5AqSCEXiI6w8ZWVPXyBqDSPnPaCM+6rin0PmE8pNYRGhiHlrJYolzN/PCUfrrkT9/7fapqzMe/+Jj83PHhn/0Ry0vLl0+e8+TJKZdziwmG6KpkNr1kNBri6oKPfvkLeknCh9//IbcfvM3azh3e+vbvMy8yNnd2UEASDPm97/8+//l//n/gHz76iPX1iRzvQnG5WLK/84D922/Rn2zzN794Sv/OY/L1XQoT0+zdRy1O6W3fZ+vuu/TGW5iqpm4sqlkxsin3JoZp/56492ZzwjJlHK0oF1PSy3NwjiBao6oN/dgRxAGNdVQ1hDpgcXlBlC3Y7Ae8M1jnweYE6oqT8ykHRyvK2vLdu/cpbI9VVpJfzllmrzmfHTIcJ9xfu8X+xgaxCTk+O+Pi9DWniwsOsxOy1RP+V3/+v+bBVp+tJCLPaqbTJUeHRxR5gbOKH/zo++yOb1E2DavLgOb8ksH2Po0r0E3AxXxKqhS3JkOMslhboWqoigwF5JU0+W/enHByfIwJ+9y/f5/j4zd8+OGH/Mmf/Alb2+sEYYC1EsG2SnOMSTg/n3FyvODLzw5YzGsOXh3z//xv/u/cvrPDaNz7bcvn77b/kbfxZAIKkqRPGCU4JdpbhwId4JxlPp9K/rnRbKytyxrrG0CjA58KYhgPx6A1i/mSuqk7ELr195E1V7T60jjLPrSeKYHRKOdANZydzinLnKZuZIJsHevrG1irfNHvp/e+ZgkCaQYrb7gVhgHjyRiw5HkBzpGmS6azKUWRkecFk8mY4aCHNtJw1pU0sXNP11Qq9BNaoZa3mn4HNJX49NjGopxorI8PBSBunKK20giZIPD72EogFUkvkeZ56LW17Zrj6xms9w6QchjXgFVQFqWsb0KIE1mBcijVSvjc1TRWiWEgPpWlHQipNlbOSLxg7dkSCkcahmhlqCt7Y1qr0KyWC19ce3mCVkSBRusASwRKTM+upF6+QHaKqhBpXlkU4tfQMtn8xN7RUNvyGvgjUgQ80dzaGofqJv6t/AOUn/ACPmbRWYVzuuUX4CkcKCxGCwjgtHwq52uzjo5uBdivckuRgjEObTKMKTA6EvYg4iIfGEkbMkFArSy4moqGMqu7JrgFSkDqItMmN9B4qWLjGSxijGudE+mkl7WI2aOlqstrjBdhDDhCAWn8ewQm6IwcRY8vxwQtyRhl4cQ4j5ggighD42thzbDXByX6f7xx5Gw2RykZ1OHEOyv0sgDl7/vOhwMBkbQR42jtnyHWOqzybu6INKapG4xCIu58rVY11gOOYrqZJIFnPNRynqzF2RqjDXEYYJKYfhLjGqnTrAdMqqpAO4eOIpST37lKJwKs0P8DE4ArCJVic22EsQtio9m7f48oivibn/wdq3TJ+3/6J1jXcHZxxnw+oyxLb2apOTo6kTrZaaYXMybDEe+88x7vvfc+4/EayzTj9i3jzSkD+v0Bb739Dv/n//L/RFFUjCcTL5myLNMFj996h+2dHXZ2b/NXf/XXxFHCO9/6Nmcvj6l1RDwYMVrf4N7d+yRxj2SrT70oqFcZVVGzs38XGwYMBiPiWtOvFFHj+PL0S1RTEbiG0Chq7ajqUsxJlQC7tW2oyoK+tfR6IZNBwu2dTQIcb16+5OmTrwiU4/buDhZYFRmnl3MuzqaoRmEizcPbD9ne3EBjmU0vSdMlF5ennF0cU9YF/95/8O/xzntvU5Uls8Wcuqm4vLzg4vKS1WrFX/7zf04c95hO5ywWC/IsFfmKB2iVgyiOGA6GYljZek84ucyNUtRNxenpES9eviAJI27d2uf16x02Nyf84Ac/YNAfXvVKjcPWDekyY7lMefHiBZ99+inGKM7OTvh//7f/L/b3b7Gzs/2Prp2/tdF/8ODBjclziyq30z6lFIP+kPEo6nLjrxuAXf8CWTzbuKN26gYwGo3Y29sjVDC/OAVP5wrDkCgMqMqCi/MzOajXtNZtvBh493GtxQjFGOJ+n2gw6mi617PSg0AMJ16/fkOWy2LqnGM0GrG5uUGapjSNpShyVqsUZSF03s3diIlJS6++DlzYRhaJuq7RCHoaxwG6cjR+LWmb665h9dKEK1f7Kx15R7V3DmcMdYtAt82s1tSent00DSbLGAwGxNdc8621hNca//Z7LW1QnGUNoQkY9uMbv9fu3/VtVZfUznb7306Rb7qdqxsT8yv2w1XMn7WWfL6gLFdX1H5jfLyQbG3Gr/OU/e7L0zUtCKXyGzr5FuC4TkVv9/W6+Zy8x5V2u52SO2uwjer20zlHMpBjfv0YtosHKOpKirooFLd+nMbWisZYlKo6I7imaWiWV4yIFmxoz32/32c8HhNFUUcNdi658d7tfgMdgHFdM18GgRjyWOu1dyIlaNkIOEnTtTSUdU5VymsUeeDpeFE3AW/PZfslIE7PJwyILKLRUNLm02vKSlx6rVX49Q2HZpUVOHfFplBKMRwOJZ2j54thdZVZbLQmiuOOKdEyX+q6xhQ1YRD620DjXECWZ91kDkBp681truQh12n7IPsyS3OaeU0Ux0QGsnrJvX7F2miXdZXzaP9thkHCqzcLPv/sC5xzbG1u8+Of/i2vj46orOXh48fkZUljJP/3q6++pswLHty/z/7+PqvVirX1DZZpRm8wZH1/F6UU6+vrNE1D0u/xv/hf/s9J05Sf/exnpMsFw8GYdHnO/v5tbt++x+fPXvPs1WvC4QZHF1POZymn8yVWhRDEPHn2gq+ePu+eIU1dcvz6JccHL7ioxgTRgElYo+o5i/kC3RToJqPIKrIiQ88WXOpzVBARBH0CHRM5sPkKVjM2d/fZ6CvydA624MWrNzx/dcD9R2+jgoSsqMhWBWW+olilbO5ucnd3n+3+GLvMSecLaCRm8eTsiFl6ydok5v6dXULtmF9eSgJJVrJKMzY2NtjZ2WFjfRM701ycnpPOllSrDO0aXFWSLi2LdEmQxEL9bSoxPnK281i5uLjg6OiIpmnYu3WHW7fuohQ8f/6UKN5nf38fE0Cer8jzFWWV+7iuc54+ecr0smQ6XRAEEb2kz3w+467ZBvU7jf6/ye3+owcA5LmYBDsUVd1gnaJpxFBrY32Lvb09ea568aTBN646oM0hXy1TiYtUUJaVeEX4Z+ug32cymTCZjL30rGG1WqEU5P4ZYxvfANnSN9cN2stNZJOmYjAaEQYRxlyxw+paoi77vR4m0IAlz1KsrTg6OpV6wjUkcczOzrY3Xa1ZrRa06SQt8DAYJBgdXtGvrUQySeN91YTKExj5vmoA8bsJdQBGzGGTOEF1iSTKR+w1VzWHEl8M20geWxjKOqm4WrNbwL9NyhkORoxGwuRqHW6Xy7kMBJTrSpmmrkBZej0BzUU+Ed1oxLVun/WWVZpx1Zz66Sp+kNH6R6mW8SeTcOcB8bb5b+PdUv9awqhsRMfulFgU2FZbLdcXxqfh6PYcy4RXOeP3s5Wwqq42KIqiW+eVU1gnHgAm0ARKKOLCslS+GW4d6aUBV/566szxVJsf76UkCEPOaMSPoBOsaHABOIMz0Eo0y0KOR7um13VFUzvCSJIIZHggg44g0IzHI5JEtMk4GVRYz/4LgsAb5gHKYkrta5mWWRnSOPEJkGQrfykp0F6qoJxo8q2T4U6WZShtUGVEGMWEUUQUeq8q7cEg14iEVMH6mjSiIhdt9fwO7f0btNb+mLTPCQuVRbT/flrrLMoYkn4f5WMXA0/910pJvWSdB8YctXU01lE23i+kqlDKibdGEAIyFFSuvUrFkLCsK7RWQqd3Dhq5nxvXSoo8Y9Q6yroEclyT0ZsYIg1roz7b6/v0tOLN4QkHL1+wtrFJksR89fQJXz19wtrahEePHuOcJYhiDg+PaOqG4+NjvvXBt7i9v0+6WrGzs4s2kmSwsSnT/cFwhHOK3//wQ3pJnydfPeGLL79kmaaYIMA5hVaG27duc/DmmK+++prtd97hbDrnxesjKjQm6hH1Bjx//hKnXxMECcUiw2jFydEhz198TTQaEpiQuIRJqRnUUOgFga5YpUtqG9PEM85Xtb+2FVoHYBVBU9HTll4YMEoibJlzcnnO0eFrzk6OefvxQ3r9nmjuLy+ZzZfEcUQSxNx/+EDOp3W4ypItUy7Pzjl4/ZK0qhiM+qxtjLmcXmCt5ejokIvLc5y1jEYjHj18RBzF2EYk5svFkiLPO3krOI6Oxf9gMBh4WW7LEBNftYuLC87PTimLnK2tDe7euUcYGj75tMfu7j3G47Gvk9t7FFarXH7v/IIvv/ySxWJB6Jm9s+mUe/fuUngm8G/afmuj31GfrtHB26ZUa3GklYzw+MbvzefzjmbeNgfXG/TBYMB4PO707NaK7mc5u8SVedfEt01k6xC+u7srDxyv3W9/RhaBKyMupRS1UyxXK1arVUfrb5uLVpub5znDUczGxhZBEJCmKYeHx3LjdQ78NUkgKFULTlzXK1+PZWubsOvme0VRdO97nYrd6sPyPL9xnNpj1P779cb4m02q0wblL6grB/Ffb85a7WprqNa+3nWau3bQFFW3L/+YYZs4qesbv3udDt02UsCNa6c9dtf3K0kSjBpglb+2MNT2ysE+MKaj193Q7aurpvt6M941+rU0ub1+vwN+2q8r2hm/9nrt/wOdoLUc626B9se0dbq31qHVlZxFKe3pRaaLOLJNQxhpgkDdcMlv3+sGuPANdoG1tsuIb03b2nuqvb5aGn6ncfPTqGFgqZC4HajRTUm1XHqjENmv1tugva+NMdhKU1tDbQPKumV6JDevOeeo65IkiXw0XikmOHjwyLTaUFm0VEey9WMdK+ikbWocUOaZpyUGBMZPBXzesDaaqixkVmSlcWvproNeQuynJUkS+yQDMbZq79uiLCiXy26C307xr6Iy5V4d9gNWeQVVhq0qyvScqD+gHxkSHTFeG/H0sy/45ItTDg6f8t0Pf58vn37Cm+PnjNYnfLDxFj/4wx+RFwU66KO04b/4L/4Ldnd3+OCDD3j9+jVBELC+vu6p4iMaI+d/NpuxWCy6e2I8HvPd736Xv/mbvxEduH92LZdLjo6OOD4747sP3xGwMlsxHA4pViN2trYITUC6SqmsQ/f7DHo9Dg8OePLlV4SjfeazBY/21nj0aJ/l8SmGCh040jojXaWosiYLx1hXYMnAahIFm6EiiQ337+4x7IW8PnhFXYlm9+HDhzx++22apmE2W7BYlURxwr179xju9unpgDqvyVcpi8WCw+Mj3rx5w/n5GauqYH04JI5jqqri2bNnnJ6e8vbbb/PgwQPW1tYYDAYYZVh5fWNZ5lRlAU3NYNhnmaVUVUHPZ8q20pLpdCpmYf7YGWPY3d1lb28fUBweHqK15tatW1RVxTJd4VxNVRcUpTDVlvOcra1t+okYQPZ6PYbDIVVdEYbBb3yW/G77p9tWvsl2TjSyDpmYWhShb0zCwBCEPt7L/95iPqeq6puNVNNgXRvnG3Dr1m1G4xF5ljEcDphOp7w5eEVZ1wyHQ4YDYQlleY5taoxWRL0YbaSGkSY0kGbfTxFFQy7suMY2lJUMNuazuTScDhyWqipI06Xo/JWmP+gRRYEYc85n1HXFcrlAIs7kueVD3qSxcdpP9K9YdmjfoPomVQhgrqMMK6kkJT0pDmX6lS6xfqIJiLmg1p5dpkEbb7LcDjaEnt7S61tDMq0D1tc2EHO2SOJQ/fRaKcVg0O+a1LIsfBMuzvqBB2brpmaVLVG+AXcIRVvr1kAu6cCNFlwRGylp4MWMVszcmtp1zXb72SSudYXWRmQGWvl1w09srcMoafaVAqNkYqe0DB7aVB58VJ5z0kQLrdw36KqtS+y1GiFA66tY6V4yQClN2OXbhyikObe2rUuuUiGUcijdUDc5SlWi0VdtHJ3qmH5de+kMTSPxf63G3ClQqgW9rjalVLvr9Hp9cGACTVM35EWO0RrrhH0IjizPxN1e4Q3fYDgYeHaMXCcoYSjUdU6gRarR1mh1U+Pqhjan3tLgGtG2oxVJf4LTfRpCbBP6ukLOR1PX1L5pxvcJk/GYOI78VL1BgJ+WrSkpCs42LFdequJz3I0J0KEwDloDwSAMCYzG1jVZlnfTWIuitlAj03l/sch74AjCkGGvj7UNRZ5J497Wg66tgbTce1rjlAbt0M7HxWKxlaWpKsoiQ1PRCy1BE9ALNGvDmJGG9PKS1wevmE6n3H/wiOOTU54+f87G5ibLVcZ/9D/5n2GCgKquicOY/+w/+9/zrW99m7ffeZssXdHr9xitrbFczOn3+93QtCxKLi5mLBdLqqri7bffIYxj/vZv/w4PEzKeTFgsJZJ3bW2D9c1Njs/OWGYFw9GEQbpgd/8WTeNoqhrqQpjS/ZDz89ecnbxkaNeJwgAIuHv/HRZHp4SNxeYl2WJBWQfU0ZSikucEOJQOCMOEnnLUquLW3l1CXXL6+hXnF6csF0tG/QF37twhiCIuFwuWaUoUBWxv7bC7tSupZVmBqyqq1YqjN0ecHp/w+vUByfoa+3f2COOAy+kls6kY5N25c5vNzQ36/QGTyUSieecLiiylzFc0dUWer+R6NJrp9JJBf0BgDEUlk3xbNayyjFWaMZ1Nsdby4MEDdna3KcuSwzevAce9e3fEpNq17C5FlufMLubM53M2NtZ59933+OijT0g8y6WoCsqqZDAc8I9tv7XRPz4+vvEQaCfzbVPZGuc1dXajkWkbllbvGwQBmx4xAroJ3cnJSfcAjuOY8aDHZHO9o8cB3STvehPdfr81RKqqijiOb0yPi9pSWNlvaQYSH5Ujn6GNx1qmM6bTOcvF8sYUWylDEksT1VQl5+fnXVMWBAH9fv9G49A24i04AVcTZrjKQm8/V7/f7/b5OnjQNvrXp5ht4oBQwK42i8YG0Y1jtVgsfq2hbqfy153fryjgLV6siNzNiftvavibQLRM1xv963rt641r++dWE966CLevH+geTQMN3pCuUQx6kyualV/Y0MUNAOKb4M71Zvx6095q0q+DQDfo91zFsl2XFDS10C+va9/bc9P+HRSu6fvm3gM4YUAURkgWsbj1l9WCskq793PuKtO+Q8StvWE82Z57oV8FHfDV6rmvf7XXyNW5bTB2LpFGHhhoFy/nWq2bk7XGF4VhJGhnWTe4ylF0bA1NXUrWsBSwcjzG4zG5T7MoyxKnxNk4DDRJGBDFkSDSymH8dMJoyURuF9P2WOR5TlOXlJlcEwrVfWacprSWKIzoxRFB78r8cHk5o2lKVllFUawkL9cEVJVkmxZ5QVHmVFXWgYLtPZgkyY17VTeacd9SrJYMgoCHj97iL777iDv9imC+4NWbQ75+/pyDozOmyzPm2SV/89O/5p0P3mc4GWG14vE795nN5zx/fsLu7m3+k//kP+H169d89NFHPHnyhPfee4/Xr1/T7/fpDfpUSs5Lmxvf5gNHUcQPf/hDPvnkE87Siw70WyzmXF5eYlDs799ifXub2aog6cWEQcGDu/fZ2toiy1ZkmYAD58cnzE/OsGVFUC757uN9/qf/7l+w3VP8N/+3L8hWC85OL8gqGEy2aAzYskGZgCgICIKQyNUoV7C7vcZ4GDG9OOLo8DVNk7Kzf4u79x/iTMgyTanrhn6/x+b2LutbG+QmY3U5I7+YYZcZq2zF+cUF6WrFbDZD9xP+6N/6txiPxxwcHJCmKffu3WNra4tbt26RZWKEV5UV+Vymp0GouLg85dWLJ+zc2hNNqKsIo4C6rrBNzWKx4Pz8nDYSVaazE4ZDcQ6/uJhxenpKFIXcuXOnW7eW6Zz5/JJ0tcQ5xeb6Lvt7D3j+7MSzWHqEUchieXnjOfS77d/MdnJ65v/kGVNO/uzQTMZr3tOnpvDg+Ww+BecELAokxk7aY0iSHgqhHBtjKKuS58+ekhcZgQkwgaE/7LM9HEpkrAlxzjIcSBEv2VrNjXVpuZxTFJWviwpPE9ZdDJfFch3QHQwHxHEPpQbs7GyT9CLOzy5YLhfMZrlvEkUeJRp4Ojldx5R02o9I23VNOrUririP6VUyBlbIRC40AYGnNksjalhbm4CWlKE2r71tHMXToG30ZYrcutA7nxSgUNIcKy3GaE6a9KKYU9cW21yxO1Et468CJbnhOlCEoSYwEjOXpitp4pVXCXS3mxO2m6e9OycAQ8vMu6oDVNfc29ZXyMvFQhNiBiPPwpA36CU9kTrUNTTeHFEpjG+itQdQJBfett6OWKtw1niWgPPH7WaN1NKoWyASJP7OIMMM5Q0FpdYzOGpsc2XojJOJvp/3Ykzrdh+idFvGe4mJE0BCXPRjYdkVPqXCWZyS8yBSgnaSLrXBVV3RxjxegRLtJpN1TdKL6fdjv89BV9uV1YqizEmXc1CWspEYQOUbXWnWNQqLaxpcCxy5BvGTAGfFD6luSorCMSuuDFrbY6vQEtE4GBCYoDO/0/56McawvraJTPI98ABdhGCv73PctTRMZdNwfnGOBTF2VgqjDIESg71e1JPrLAlRYUADVEWJw1IWOY0fUlSmRGuR+WgUy/mcqijJi5zZciYu/WFAaAJGoxG9nviOhYEcQ+XEU8bYHF2vGIaW/+gv/4jYzSmWrzldnfH62XOefPUVtnG8fHXA1y9e8t4H73P73l1OL864decOWmsOXr5iOBjwv/mP/2NmszlnZ2f8/Be/4IP33xf/Deg8oJxzLBcpw/6Q/d19/vqv/5q1NcO9Bw/4u5/9jLKq/fNWkWYFB28OyYqS7f1b7D58TDFtSJqAQmnu3nvsewyFrWtWvT6HX3+Oa5YkSY1zc9bXt/kP//yfsRv2+K/+rx/TNJrLozfEdUE4kPOva4mPbJk95SonCKC3lrA+HpIefU2xOCcyiv3dHXb3donimOlySZpnrG2uMVnbIAoiHJZstSDPCspVzuL0nJPXR2ytb7JapcRrY9557y3iXsx8NidNl+zv7fLwwT0BqKwjXS6gqbk8O5FrKNK8fPo16+Mxg+EQZWWNCaNQ6tBCJF2L2YyiLEjimL29HZIoot9LBDQ2itl8ymCQMBz2aZqKPC+5uLgkTVcildUB6+sb3Lp1G2sV4/GE4WhAFEcs0wWNazoF0m/a/nvM+IoblO+2eUuSpKPgV5XF6KhrWowxbGxsdJPGtvlbLpcURdEVbwBbW1tsbm52iJK2Na6SCfhisWCxWHSNbrs/mdfvx3HcTfSvU+G7h2sUo8Kka9CuT1+staRpysXFBWm69BSlWDJcyxprW6OQRkoDW6P8Q6yl1Ld09euT2baxbI+ba4sM//69Xq87Lq2h4HK5JE3TGxKDtglvp7lto98ar8lCoiSfNIg7AKGlwLcT/HYf2v0Bbhyn9ljIzzqa8qZJXNvYXt/COEIFV8e5/ezXJRpKqc53oNtX/9muvz62h20MceT89ROi9RXYIAVFgw6upAft1jIkvrkf1yPrrr9few2vVivgquFv482u/4xComiu0+Hb92ubbmNCdJBgraOuG4oiw1rRpMsmmi4dVChVXmOINDfOw3XwoC1UWvCr/TwtsNbGHl4HYa6zArSnmoU+esfa0utLHU1VCUVQawKtaZSiUJa6sTR5TtMEXXGktULV8pmbskfrjCvXQgjULJcz0lXqJzqasi59gXeVjFD5CXybNbuzfYfIa/jDSO5Z5YL2cHXaOJRkVLfSmKYuKW1FYwx1d14lL7jKJXe5LYbLsvRO6SvvEn3TQDSO467R7wCpIGR9MiYOGx7uTvj3/uR7PNxMuHz+MVm64PTFK1Sc8Gf//M94evCGg6M3fO8H3+fxu2/x0WefEA/6VK7GJAE7e3vMpjMePHjA+fk5n3zyCc+fP2c2m3F+fs6/+Bf/QgAZo1gsFkwmE0ajEYvFgq2tLYbDIScnJ6xWK3pJj6Ojc5RSZFnO3//spwRG+wmiuNRUZckw6eHqmiQImWU5VSYUrsVsRpMXJEHIKII/eP8Ru8OQp5/+A/VqQTq94OlXn5Os7fD49gPqoM96s0ZtFUVVUxc5gbZU9ZLJaI0sPefi1VesjXrs7t5hNFmnsY68zCjKmo3tPbZ298GEZHlGSopSEhWWNktW6YqN9XUePHjAX/3d37P/cMzu7g5ZljEcDtnb22MymdDr9ToWkDGGw9NDlsdLlJEC+PDwgPlqxtvFewRxhLUVURCQrpYUiyXz+VykEmtrbG9v0+/3rz1vxS338vIS5/WuxyfHFEXG0dEB1lXs7u2wt3eLQW9Ckdc8ffIE5+wNo8kiL2iam8Dr77Z/2m1+OfWNusEhRX8YJaA0rw5eA2DrmqaWmqE/SDzgazHe1KtlBwngaTk+uWC1StEKRqMBO7t3icKQwXBIGAbM5wtmsxlny6xruq10YF36TF7IxFnWL5nqr69PEKMzcSs3QUAYhTgcg/4ArTVlJXpmbRTWNpwcn3J2eobDdVP0K2Da692x1N40GCy9Xt+zCZQcF+frkRbcxTfr2pPcHYBiNJ6QxN7nwN8HeZ7jGonGq+ryipDvYDqb0ljJjBcvHBiO+ihFxzIQLanUEnGUAO2AQpz3298tihxrG7TG+xFZPw1vyCpvomodVdWgVEMcJ8iA3npAo3Vf1x6E9iwHr32/Em/J5zKBERaBZ3SIn01LW2/jcq8kcVEUeSBEyyRf0+nUnRLABgyt5lsmnQqjQ1/HCNNAa92ZK8raebNWstaymC3A+Ym4gqxYMJ0vsVzFBAYmQOtWzhrhnKLfG6EIsE6hXVuvtiJ+AQXSNCVdngKayXiCA/Iik5hHDxgZozyLIuwGFnQ1mpgrt8em3UajEVorsmzFKhMPn1YqCCKZ0xqiWDruuiixrqauC5qmxFrAaZnweyDFGGFNOE+7d8qR5Qt0UeCcxjbOgz7C4BAKviMMY0nTcpbSs2eF9iP7kudXkcAim3GsVgVKwdpk3NXtkZcsjAc9atsQRJHo8J1BexmO0SHWKcoypy5qlA58AgDYqsQ1DdPlkou6EuDGn5N8leF8HGZja0xgiGyECyzT6ZTZXPYv9nV7oBSRagirJe/c2eJPvv8BD7aGzE8vOD49o5idUDvDn//Fv8N/+X/5r/j62Qv++V/+2zx8/DZvDo8wYdwxTDY2tjk7PeXOnTtcXHzERx99xHKx4Md/82POzs75F//i3wGuvNJ2d3fkHnKKtbU1dvd2OXjzRp4pRmMtDIYTFmnBv/xXf0fRQBgMKAsxpqwdhHGPVZqztTmkLDKKVUocG6yuxW/ACEP7rUe3GE9Cnn/1JY3OmE9LPv/6Kd96eJs4iAgMGFeCbdBaZBjT1RITR+zu3Ob08DXVySG7GwM2NjbpjYb0hgMOjg4pXcPW7i67+7ckOthKio7115azMmkfjyeoJGaV5qxrxf2H9zAGijLjR3/4Q8oq92CQAidgGU2Fct5nrqlZpXN+/g8/5fe++/viheLvn9VqxWw2pSpLzk/PWFsfs7a+TRSF8sRwwshazJbMLuckvQSU5ezihDKvmE5TnIW1yTrra2vsbO8xvZxxdnZBlCSEcYwKDE5rgjiC4Gavdn37rY1+lmXddLhtcOI47qaOkoOpCUOZkrVTaq115x7eTnTLsuxo+990/W6n80W6IFvMuki09ua8ThHv9Xr0ej12d3fJ85zT01PaWLLrm9DIV13T2U7w2v2q61qmNHGvMw0TWnsNqI6GXtcVyjr6HlRYLpddLB1IU92697cNWht5A3TNfhiGPgNRCodvUtHbhro1jmsRtm/S978pF6iahul0Kg+Ia1GH19kJ1yUO7dYZkfljbeuaoLlyyW/353oD75zzD/Sbrvu/aWsb6uvvd32fgkAi7IwOukWvLIuOtXAdlb/urA7ckDe0X+1xq6qqi2fs9IV+31u5STstb6/tb077tfJUc64xHrTu/p8kCXGU0O95FLttvD09KzCS6xsEAY211I3qdPLfPNedj8I1toPWumtOhCpfM5/PSdO0YwO0W/u7LdBTlQV9ZuDLNMWV4WN3vQFNaDBhazh4NWlqz08YipmNbdq0jNakquHlq+fXJieSrx4GAUqJtg/rHaWb2g+aHM7WTE9PEGPGqxSEKIoII2GrxHGMtTLlpypBa0Kl6Pdl3+u6BlujceJ9oSV6Spr+Cm1iJmsjNjfXyPPcJyzI+bt+/K8DLsYYqHMoYBJU/OUPv8X+ULE4fMLF4QsuD1+wu7nJoweP+Oyzrzm9XLB39xb3Hj7myfOXHBydcuf+XQgiiqIkjhPu3FljPp8zGo3Y3d2lKApev37NT3/6U0ajEX/wwx8QDiQpYzweS3zb+Tlv3rzhj//4j/nxj38s165V1LXl4NUBT168lsibW/eIopDpdMq9+/f46d+94eLwDf044e7ebX719z/n9dMn9NbWKdOU4XDE1vomH7zzgLt7m3z52UecHryiyDO+/OorXr054p3te+ioT3+4yb7ZJi9rXr15jcKyNhywGYdsr/fJlmdMRgEfvP8WQRiQlzXLdEXRwN6tOyT9kb8Ga8q6JGsy6lVGXMP5+TlHb96we2vfg1U1b7/1iO3tHaIoYmdnpztHdV13z+iWgn989Ibbd+9QFCusgjeHB3z+5HP+6E/+mI3tLbJiRWgFPAmCgA8++KC7zloQT+6vmuUy5fXrN7z11iMODw9ZLmecX5ywvbPB7dsP2dreJAgiiqxhucx59uyZ0Cr9tWmCgI8/+Zgf9L/73/sc/N32P95mcwETW9PrMIqYjEY0DhqbitfFYEASh+KlE1yBwO2ztmkkZ3uxXKKVYjgcsLExEUDQSDSfdQ2LxYzFcsn0UmiWq0WKQmjugRGTtrqqmaytsTfZYW19nTTNuLi89BPRQpp+I3Tzusooq4yhN/rVWlOv6q5maKwMGNbWt3zEnDDCWjPA1hBVGhlF6N3qheqt5VnhpCAeDGLW1tZ8PLCwqQLtO32vAw5DMUNbrVacnZ/jlPbgqiMv2rz61tOlNSkT/XugDU0jsgLnLP1enzCMhV1gZa1I08yDLDHOBVjnnd1pGI0lCUkm0NJQpmmGVoZGSXyUchajaz+h7njy0sR1f/SMB9f6FkmDcj21B6CsHKs8vfG9bkCj5Li04Eg7dVcoAUEUOKVRQYTSDs+j9Ey4BGPCztNHaYP2Er6qzrG2xjoniUaoGzWRMAQ0zhtZZ9kKVEPTlBRlgaQLiOGdxALKOp3nGeBYrRYYExKYkChKCMKgY6K03gNBYJisjfw7CjgVRgoTxoDtGILt8QDjgXrFcpmhlcQeynVnMUaipBfLGU1TURQ5RVl0HgYy3JBjpJQVpoeqhclCAwoCE4mbPaEMVFwrC/EySQwOpPnXDQZJWaAnPhR4jbjzEpm6trx6+fIag9N4to3UNGVrYO2bbjknFVoZLi4XKB2QRJ7hR8sK0STWYLSSaLso8Owhh9IQqYaAAusk7kw5zSgJ0UQUmWblvUGSfoJVMBgNUd4o2bVRgR70UVrisDsPJDxBx9bsrvf5499/l42o5vzFl6wuTjh+dcTde7fZ3dvj9ZsjnhxO+b1vPead9z5gOl/wxVdfc+fuXcQIVK7p7e1tiqKg3++zsblJlgl9/Mc//ht2drb5gx/8oGNATCZrAHz99desVgt2dn6Pv/+Hn7NKC5QyLJcrvvjyCUdn/8DJxYLJ+m0GvS1CF7F35y5fTBfkZc2LJ8+4f/sOv/rJjzk6P2E4TCTxy1k2+kO2b+9ze2eXZ8+e8vlHv2SRrvj8iyc8OV4xuDPhjlnjzsYWjboAfD/XaPrbW+xurhNHGlcVPHpwj+21vtSKvT55IWzGd99/F+1r6nSZ0tQN89kMLJRVyYuXL7k4kHi9wyfCjHjvvfe5desWURzx7d/7Fko74jCQ1APXkC3nFNmK50+fM1+mbG1uQVNTFxUn0xn/jxfP+fB7f0B/NCbPclAiIYyikPfffxejFf1+QqRF2ppnJYt5zuXZgmJVM5z0qOqc4+Nj0mXOeLjF/UePCcOIfq9PXVvSVc7Hn3zGbLZABZq0WKFDw8vXBzjzP9B1v6qqLn9+PB53zUdLZZZpe0gU9m40hGmaopTqGl5rLZPJpKOptxngWmvSNCXPJcZP21oaziDoDL/a17w+XV0ulxwcHNyI1bupU1bE/SGTrZ2Oot9KC1qwomt084YggDhuqc1Q1S0VWuJUbJVjXH4tIk2i+Vpgo5UwfNOArm0i24jA1sCw1YW2uuu2Mb1ueNY2sr9payf9dW3Jakt/JIY3sY/wc06oba22+/okvN0Gg0H380opbN1QLtLuM7T72hZJHasjusocbrdv0uGBX9v3FrCBK+lGUy3ROuwKcq01FolN00a+nFOeMnT1HquVpCRcn+a3efHXWR3tdXF9ct4yG9rpblc8XdsEPaYDt9rrsZ0AyAeC5eqc1iCnLSKd86CYi7BEtO67100b2+N1/XxLLrK+0QS3P3fdX+KbDIvhcNhRrwTgaXCqx3WDJKcUzTfOh3UStWSMIfL0VTmXQuOrSktha7TKMKZlFYRAiDHOT3dq6qahqQtcmXtQKSQIQvqDBOegqkrKUswIla0wRhEHgWQ7a0NZZOTFimwxwzkxs+n1++KA24IJVuKynH9mmDCkshLJNBr3mawNaGmaLWumaSQdQOKXruQzrUzo+kTf1CvCJuNPPvyAenrI6+MLejbl8vAl+7s73Lt3j/ky5+e//Iqqga3dB7w5mvP65IRnL04YrO1hEd1pENCdu62tLb7zne/w4sULrLUMBgN+8pOfkGYr/vif/Tn7+/sURcH5+TkAH3zwAWtra9y/f5+vvvoKpQ13bu8zGo04fnFA3TTMlynn5xd8+8MfUDSKB/fv8/zjn/HJfE6errg8PyfLC1SaUqQp73/nO9za3cNozSJNeXN4zMX5Jcui5vmbE0qdkKkex8uKzUFM0CiW0wWj/pAo1ASqIFA1TZWyszVkPe5hbUXTKM/qyhmM1+j1+zgl4HBtobI1R2dHHD5/SVA2JFYKscVC/FsePbrH5tYmURR2z6IW6GoB5tlsxtHREednZ4QK8jwFankvYzk6e8MvfvkP/OiP/hBlDGlaMBgM2NvbY2dnh9ls1jEDWnBvNpvx9Okzjo6O2Npap24KkiTg3XffZTTqM5pI3GpVlhRFzXwx5/TsDK0V/X6fdDVjuVgQx5aZdzz/3fZvZhvGfVAwHK0R9XqoIKQ3GNI4xdraRscKwklT0jb6S59f3k9iev0eZVERDGUwIGZJDXVdUa5y6qbyU96aqmpTQ2CyNhENrnZo1RCNhyT9AVmWs0wXvDp4SV2J+ZW1Mrl2tjUlFhrv3v4ttre2O1MzqSF6vplvPLUd0bZel895Y8m6Lqm8p4qY6tGtdYNhjziSRqdl/+X51Xpua+dN6loAPcVZRxwF0hg4JYaArqaqK9Fx+47aeVO/G6MC5XyIvGW1SoEcrQLCQIYKa5N1P4WzWNeue2IymK7miDmZ+MQoZej1BoAhMBE4X3PY9nOLhlvwZu/Y39LfO8d8+ZIYrM52tvMmcLSUcXX9X+TnnIA8KM9GAyzC+NB+Oq6UFiajKCBE4lBbqjqjrkvKosDS+Gk1tHF11srkGRS9Xt/rzGUyqrTQ9wHKqkYc+8U7Qvnjr5T2cWxCxR8MfLqCdmilCYKIMBSAfD6f+Q+k/XXk6wslE0ljNL1+z9c9lpPTN7TgCEp5WrxnPfiprnWOMBDvpzwXB3StIYrCGxHKEsPXMBgMJTWnzj2wEfihSYAi8q/vp+QqEEafEkaCsFAMFovC0/hVa/LrjXpRtH7NyimMDlhb2+hYB91gx5/3KI7ASRJLYytQFUpJ0oOnQWCMI4oELCuKFTSOOl0JoJYk9MdDnFNESYJTUJUp1ornWBImBFoYoJqAfhwzmYyxKHTYjot8upJnESnrKIsSrVzX8Iv/hqRXaVsSNYZ3721APmOVLtgaGKbzc7719jvs373LizeH/PzjLyiKJXfu3uP45Jyj42MODt5w+/Zd8F4T2ktzqqpkNB7xwbe+xfHJMekyZWd7m3/1L/8V8/mcP/uTP2Vzb48yz3j56iUWePvtt8HB9vY26xvr9Ps9irJivDZhntU4ArISTt6c82iyxf07mzz/+ikvP/oIlOWnccTpTOLj5rMGpSzf+8EfSC8ZJ5yfnPP65QsaDI3SZEVOPJ6wLB1Z7ZjP50z6fWxjycnRzmK0o6caBqFid7LBrc2ESDesipKsyDm/vGBre0v6MqWorUQzu8ayWC45en3EfDYnVgF7e/vCqF6tuH1nj62tDYqiQI3VFcBWV+SrJbbMyVdLTo7ecHp6zCrN2V5bQ9kGjaXfi0mzFU+efs13fu9DnLXkRcat/X3xZ9pYR3lpinKSHLCYzZldprx89pLPP/uC3/vuY148e0Zv0OfWrVvc2nsIBMKsyUuyVcb0UqTm/eEIHYSUTY5WmmcvXzLZ2PhH187f2ui/8847XaPf6/W6Rum6jjhNc/LsasronKPf73dNfTuBvry87BqZdvre6utbKv4wGRCq0Q0Kezt1bjOPW5bAarXCGHOj4W73NUkSot4AFSU39O/XXcvzPCdNU4zq+yljQOjpcv3+FeXbWodrMlSzvOG03+roz8/Pmc/nFD5r8/rktwVDqqq6Qa8/ODi49vo3dfDXf/+b23VTP601vUHIxuAKgKnrmizLhFpaFFdN6W/Yag+oXDfx66+t3Zjyt43lDeAiCcX1/huvdX1rG9dvfq9lHbTvZ5uGxpYeeZXFOTDiHCwT9ytmwzc3hQcPPO09iiJ6vZtxV2VZ0ko72qk30F3H1/WSN3dWzHCu6/3m83k3CZZm3KBMKY1xcy0vVyvywrHKpEALdI8guMlS+E3AS9sctkyS9uev32vtZ/nmsb+eCT8YDKndzdvaWkv+DSaAV6ZQOgeuwrmKpJcQBJEvMCDQUNsUW8t5yovrBoIKEwfEKqTOC8o0oypKytx1DXfLUlDOEmgwyuGakiKrKPO0m6iYwHQgmgkUVbG6AYRd3wIjFNgciwkCej3x3ohCmRQUpaOxJa2ws2XeXJeVtMek/Yqo2V4b8vSTn/Ni/pqRm/Phe494fHePvdt3Wa5Kfv6rz/nlr75msbSkKzg7z/nX//pLjs7PWNu+T7pS1DbB1SsGvbBjNRlj2N7e5qOPPmJ7e5s0Tfn888/ZuiXN6MHBAZPJhNu3b/PmzRu++uorDg8PKcuS7fEu6xs7rG/t8OTlAc42zKeX/N3f/oS9uw8hSHj48AHL7/+AX/7yl3z6y1/hHERBSLPKefud9/jDP/ghgdKcnk8pyoxstiAI+qzt3sUMt6gzy2j/ERv33qN2EXZeEihNXdWYUDFIQgaJJQ5hc2PAVuKYL3IgIi9yer2E7e1tyqJEBUIrXaYrpvMpZ5eiqV6bTLizuYNqHC9fv2J7e5s/XP8R27dvdfFTLXW4BWAPDg44PDwkiiIePnjI3mSNTz//nNeHb7j74B6379zi3uN7rIocE8jkZX1nm0HY79afFgBs75vpdMrBwWs++eQTXr16xb17t9nd2+Lu3VuMJwO0cThXe4lYQVU4ce5HqNd1XXN6csp0cU4YNbx69erX7uPfbf9024OHD4VR1RsQJj2UNgRxgkXc91erlUwYkam1s5a6qSjLAnHhBmUtvSSiyGuWi5QwChiO+2gTkOcpVVl21HlQRFEsOeXK4Joaoy1Q01Qlh69fk+c5QSQSriiOSJIeJgwZj0fiNO4lBnGS0BsMqMqa5XJB60MjNOnGM+Ukr91aYQr2B72OAhoYTRQF3fS5fQ6PRkPJrvdmcrPZJbPZjDwvvAxNE0YhURj5abtMFsVQTdHkFdlh7hkr0ohbP0Xtll3VuvcDiEFdYAKsdl7+IuaDYRgz7A8xOqQ1s63rqpM7OK8fl2bW0dTWmyRq6sqidUgcO++2L7p2o690+NKoi7ldY2ua2so0H0cQeIC4bXC5avictZTFSibPHSNAqOD6WvRaa5DYruUOsE3pAQl31Tj717BWHPpRFRaJ/VNKHPS1ESDb6EiYcRavE2/Agw5WafqJgNSD/gCLpapzitLhtGXQT7xES9z6cQgTQjmZGOJomiVV1fhrvo0vBlQ7MTa0yQMAq6yNpjYEgTAKGlt7pnvjGQ4+8s/JNZUuU1DeAFjJMAAlTv9RGHbH0zmNGCyK0W4UChuw8d5PWP855LvIxexz6aFjZThPDJTPYfyJ8MMJ57r37+Lw/GeLWlak1ZKAZRsWy6X/XA6jrQwaYpEjOp/UkOcp6WLe3e/OWlQUyTluSprlCusaVmc5bRywtQ0K4x32DevjDYyR61Ypg1OKMAmxSD8k9R1oq7GI1BNr6cUxgQlxtsLW4gsx6IXsDDa4OHrJq599yv7I8Htv3+f23j77t+/x4uANL1++5LPPvkAbQ9U0fPb5l7x+/ZpXLw94+623fXpE603lDQaDgI2NNe7eu8PXX35JFAYUecEnH3/EWw8fsba2xvHxCcOhuPA/ffqCi+mUFy+fUzc1ZVXzzjvvcef+I758ekDt4OLwhL//6b9mY3sX2zR8/8PvUxYlT7/+isNXB9imQjWWbHHB4/ff5Qc/+AOyPGO1WFLlGWVekUQ9MEvKIqPKS+7c2uP9999Hu4bF7JLFdAZOjFZj46jSOYnpsbO5Rr8Hhpq0kCi84XjM7u5eJ6nJ8xXz+YLlfMnBqxcYAm7t7zOK+uii5uL0jDu3b/ND8wcMhn2iSJLebFOjGtBYbFXy4sUzzk9PsFXJe++8w9p4jU8++oRlmrG7f5u43+e9998nKyqapiKOI9bX1hiNh1I/aIWyUodmeUaepqxWKfPFjC+//pLDwzfce7BF0p9wa/82e3t3wYWs0hKQ2MmiKL20RgCcNMuYzi+pbc3a5jonF+f/6Nr5Wxv9zc3NG83tNw3D6lqyI3+THn+xWPhIGpmEbG5udvF6l5eX3bQZ6BqCPM9Ji1XnDK+1vmHE1zZ0WmsmkwlRFDEej1lfX+8a5/b/QEeVb9+nbfTafQ+CgCQeXOXc+umwNFrKP7TBBD1Cb54VBAHz+ZzDw0Nyn//exqJJvEfTaa611ozH484k7/pnua73bhvI61T065PfdmvBgq5xDSOIRM/aRhYCnQFiu7/tJLndWjlD20CuVitcY4mc6kz/xuNx13Ren5y70OC+4dbamr5d335TM9uegy4Grkpp6tw3/AIkpCv5DEprTKgJIg32pha2PbYtENFeY+112kofREv26wkBbTPRfrWNdbvZRtPUN5kKLdDVvqc2iqKa3pi6iBGMp7+HYmhWZAX58mpaf91L4fo+TSaTDozq/Ak8MNIez98EeiyXyw5Qi+OYpJeg4jHXdYoG6A9unjNtHcZHzTT++GuMFIPKL8jK0TQznLuSkXxzv7U2RIGmNx5201Ohb+dUZX5tgoTPkOU3fj642YxfZza0jIXrUiLViwmikNUq6kC+yWRClrnutevKkS6v4vSiKGJ9fZ0kSajr2kcEDnnv9jp2fszBm0/Y0gV760M2hzH7e9sssxW//PhzfvGrT3n9Zsp8WfKTv/2III549uolVsPLl+ecnKyIkohxoDog8uLiAqUUP/rRj3j27BkAk8mEs4vz7rNorVlfX2c8HvPxxx8zm834+uuvieOYZ8+e8eDh2/xbf/RH1AT86rOn5I3i4uyM07MztvZu00t6/OEPf8jmxgaffvIJbw4P6SUJ7733Ht/73vcIgoDDw0My13A5NwyTAFda5rNLpqua6azkInOs0cM5w1aku2lUFGgC07CzvcneToJyK1bpguWyoqiXvHlzxON33kX76yCvSs6nC07OL1mulky2x7z/4fdZCxPePHnOi+fPePHqBV88f0q0NmL/4f3On6VlReV5zps3byiKgq2tLe7du8fO1hZff/QRJydH1E2JMYqLi1OsUYwmE/JiJcXJxjqhCztguAXO2rXm9PSUo6NDXrx4Qa/X4/79Bzx48ICt7XWqqgBqqkbAWYlJhfX1dR49fsyTr16xWMzFMdc1aKM5Ozvjd9u/uW1tfV0aRV/8Oyd6cqV9A2IbmqpGB/JsCo2PMDOKxXzG9PLci5A0QdhjbW0dpeHi4oLp7II8XzGZjEiSnvyUhnS54vz0HBq8NEl040Yr4igijCKss2xtbYkhYBijjPHmo96IzyoaZ1kslij01Xp8jXGujRKH87KNrr2K9hr0+wDdFFeazNafRVhT5+fnXZ0TBAHD4YDWncm5NrbrSs7Vpq3gwHAF3DulZMKKBmW739DK+a5Z3lPueck411oGJVqbzgNAdPciSZDGqH0HLVNx431YVJvYI/p6a2vKqjXa1b7WG6OUo2kqDxxYlJamN/DacjzzzzpovGmd81N5rCWKPFjh/QhQCq3CbqJuraX2gITtpq+ObCXRy+0wqG3YnHMoEwn4oHtX65ySaWC7Piqlu8l+GAow0g4KnFMo2/57+94ObQKcasirSo5546Qhr32DqRRJEnl2gPKv5cC0ng5XzZ0wM+S4i5+Bjx9EfAeUE7BJq/Z4G7QKcD6iMIpjPLfAXwtCPRcDxnZY0sb8QbpcUtUVURzS7w1RGKxLPKuhnbrXWCqvo1eeviA7qpXEJmsl9HbnwR2htzusU95fwKCU7fTQSimKRuovpyRnov08ckUKK9TZhrIUAKxjLTS2kzCu8qWAgpKxKGwQJ//XgbyewoALsNZRlhXOKtJFBk6RJH16/QHKaMZmhFVweraUJCiHZ8E4lBO/jEhrnE+s6CexeAXphh4Zz1694M4wYXdrRKghigynJ0ccHr7m888+5dnTZ0wXGZ99+hnz+YLpdErTVHz80WcUeUkYhISR1Kx1VXF2dobT8PY77/D3P/0ZcRh6yaVmfjnFKEU/6TMaDCnzkpOTE5SJePL0OUVZY23O9vZt3n/vWxyfL/j5r77GqZi8FJq6s5bGwZ/96Z/y6P49fvmrn3N8/IZer88PfvR9vv8HH1IUGWdn55hAEcUhYRjTVJK6ZuuKIkvJVkvSbMXW+jqqaUgXK1RTExpDbBR397fYHA+IQ0NdZWRVxvnlJWezKe/t7hKEEaeX5wIwKcVqlXN2dsZ4NOatR2+hlCafLpldLnj18hVfvHhKtLPG2njMxtqEMDAycU9TcA2vX74gy1Zsb21x9/Ztdra2eP1SwJaqduzfusNiOufw6IT923fp94eMhgOGo4Fo+h3UZQlOAJ7p7JK6KrmcXfLRR5/w6Wcfs7Y24b333uPR23cYjScoF+BcgFLiaSEMs4q9/X32b+3z5PkzKt9PN8qxFYRcXFz+o2vnb230AyPmMiD3ZF1byiLzkWfSLNtGbqrGQlXJQ2a1WqK0Yzwe0hpsvXr+zE9prybNUsBbsuWCy9Pam3Jcubi3DWmc9DrX8SiKaGxJv9cTs4PFFBUokji+QdfKspLF6irir53wtDrQtlkuM0HSUXXL96EX6053rZQC23SLKMB0OiXPc/p9mR61ut/haAzqZgxbGMcoE6CDkKR7CPtsTq/R0VVFU99sBtvoj+saqr5f8FsQoGos1eoqh75lGbTNVsso+E2gQZqmHWgQRRFGG2gkl35ZlNgsv2q4tJKiyRgf4HrN+R1PQZNHa9eEh0HgEXJHa+ynjREjobKkLGqKqhBUXMu0QinNaDT2BbrIJpxTGDXy0SROAABjCIPAm8u1rvitkZ7GGCkgBoOBz7SXBdY6y3JVUDeNGA5VYpxh9JWpomjvIno9WUivWBqqo/9a22BrSxDEtIY5zuH1mJqqrMR9Oa8wLiFQWgzlyivZgDGGwIQE3qwnzwqfp2tIfFSYs7bTcDmgrCrKbzAlNvvD7vpu2TO5CTz40Dozuy4jut0MfjENNUGsPBItU4eqKin8NaSVQxvdnf/rGve8rGiajNApev44BUoTBLFQIX2jVXuKv1W1L7DEpEgK1qLbTylIoTWUammEYdQaI0qmbxRHLKuCxknxt1pVrFZwcXHuQR7PcFCGgACLQpmQIIzI8pWnX1o2xmPGyV32hnf4m598wr2NTUZWsbc7ZLI25vTshBevTzg7PaPf6zHZWGdjdxs0vDp81dEFV8slZycn7Ozu0B/JFO5iesl0uWBzc5N4IGjvs6+/ZtIfUKYZZ4fHnB+fcP/ObTbWxxy8fsWrVy/QOuSrr54xHI4xYQI64GI2ZzxZY3t3l1dvTgEo8xXYmuOjNyRNzp07t7sIviLPuH3nDtZZTk5PsM7y+ugIExoe3blFtSw5Pp6RTjOcDZhdTnlz8JI7t+9jFMwuz+lPhoSRIi+XrG/ssbnZIz87YzE9YpEbpmnFqqwIkx5V0zCfLTi7uCTNCobjNfZv7RCPYuqs5PXhCenskqpYcfDqBV999YTx/jZ/+Bd/Qe3zfcuy5PT0tGNBPH78mNu3b1OWpTcnzPjo44+xCrZ2dxmvT1gsV2xub3Pr1m2R1jSWvMi5KS3TnJyc8NpPX0XSU/DOu9/iW99+l14vkqhHH/HVFsplXlNkDffv3+Pdt9/i2ZMXrLIMpyzD8ViMCF3B77Z/c1vSG2AbS1VLqklV1dTW4lD0BwNxszZadNFVSZFLrnGeib5+PBriPEuvKGtevXrBMp3TWIsJRPZ0dHgiOfHe4C0MIqIgBp8qEgagtUgDBr0eUZKgMCyWKYvlkiSxaBMyHk8oiwpjQm8UVlFUIrcryxwTGE/XDYniUKLpTEAvkWdxY62PD9MEoXgh1Y0fFFjRRNe1ZTa7ZLGYY23D2toa/X6PsqwIwkAm3lbAkLwoOgd1wAO5eMaB9tNtL7MXyypc6yAvbZH8vMcLlHYMhv0rySRiDtoeX8muF0+MsqyE/q7bRlL7Jin35rUyZb1ah6Xv037tE9DOipzP1yRRFPu1UZraVqcvTvnam+Y5AhUQaPGpMl7OJyQAmZQ31vnaEDpfHhQ6CNA4dnb3AGkyW2keDqqqRitp9oIgJokFHALQ2kkUn5Kao8hXmJCOvRYGEcZP5rI088wJrwlwCmUVtZVhhW0sg6RHEsUy1UYYctpoHFLHlKXo0I3xCQz+XDRO8uGtdf73GpwS4nxjLUWeYZTUUQKYaJlK67ap10RR7CVvLXPTEYYBwiYQEz5p9OU3hrsTXyM0VGUNyqCbBBcoLBXWVqJDR4Hyw6B2aNOCENaIDwI1yokbv7UNjYO6S9twaJ8yIF8NtpUSGI0y2ktVAi9FKGhsRtVUPn0AcJKupZVIAFAKpR3WNZS1mP0GJiCJY1Caoiy9hCLBCMFC7h9jMCpAYaibhtlsRuMazi9PZQDkWRDOyzo0in7cI9BQ5SlxqFG2ItSK/tuPef9b7/Pj/89/zd29HW6NFbf31tid9FitMt4cnXByckYSh2xsb3LnbkK6WHJyfE66WrE26XM5zyiyDNMX34jGNsyXc07PTwiTmIcPHvDorUcszy4ZhjFVXfPZx5/w+PEj7j14TBTHvDx4jXOK05MT3rw5IkkGrGxF3cBikTEarXPr9m2eHZxRV0vKMsNakcKenZ0QhgF7e7scvHpKlc3Y3NhEK83pyTnTizmrbMl4fcLtW7c5P7tgejmjKQuMrcizlSSsOAidJcszenGI0RBpeHz3FtsjTVOeMU2nzJaXvDo5QukQZTS1bZjPl6zygvl8yWSyxh/+8I9QypLOl2R5Tl7kzOczXrx4zpdffM2mvcMfbvwz+r0eVVFSpCvOT09QOJJ+j/fff4/RaMj07Jzj03OePn/Oy9evCYOINE2ZL1OCKGY4HDAZjxgNhyitxCNCCUxW1zXpasXlxZSDVy8oioowjhiOhnz/D77PO+++Rxg56sqzMfy6V1Uli+WSdLni8eO3ePToEU+eP+3qlV6/52WFN33Rrm//PfF6F12z1zY8xoTUVUNdW5rGscrmFMXyhv66bXRbw7O6rrHLzOuxVNdcuqqiqUpCYNiL0XEfwt4Ns7Jer9cZ/GmtaRSU5YqmSklGCePemlB2gLLISdMVWbaiqTW2Cbvovclk0unrgyDojPzq1TkSk0OHTmptOjMomdYPGQ3XvO5XYm+uR8bJyajIaksQRgRRDLqmKUtWtcOYiDDu+0YpBCvShY7Onqjuz22zb1nRNNdj0yx1fiVBaL/aYrYtbIEbEoIWLPkmPX0wGFyjYWsaNKm6+hmF161pTQMU8mwlrDXao93Ote780pgq3UbVCEp6XZ6Q1Vca+iAIicKYKPz13MfWAV8uzRhjAvrDzRumkO31EZrwmpa9wpmmu/acdlTl9VxZsAQ0QQ8VQBRDdO0cXGekUBc47zpce0Q9TZc3WAoKRU/tgG2NeWSyUNcVVZ1BXRFoQ6hycCnKXskuoAZXo6oSWyucNjTBBuLuKYVCK3FoapnwhGGISUYE6uZkvqoqNBD6BrysKuIgEo1xJRn3SmsCc5PyH8RBBwxd9wpwSlETYpWCICCya3RWSI04Fru6RqOIjUIFQF2ibElgBBy5XlAabVBBiNGWLFzhlKVpo46U/HtbKspRjdDqqmhqP64DrFIUKMqmwoQRyhfDVdUaVdV+YuLdnlVN3FxQEVEQU9YVWbUkMdDXJbPFE4K1lMWvau6ZAfcna5Rlw3Bri/Oq5PT8lPPpGe8+uMP+TsXTNy/54z/+EUopLi4u+fTTzxkOezx4cAe7OmAtHtKP+iyylFrDwpYEtmAQr7Oxvcni6JQ7k224WFGczpnogFHgWE3fYKsp33r/bT765BlHx0vWihFal+yqkF9++hVOC83ONjWuqVhenLLsJzhgWRXUzlK3i2KS8OWTr8nKgvF4TJnn6NAQ9xImow3OLlYUFyWmMkSuZkfnqLMvyZmxMNsol9E4S6M1WzsJg7WAyhbMzi5YHZ5wTp9prfjwww+JJuusypLpco5Tlrt399je3kahsXlIll6gKst8ecnxwZdsbfb4y7/8E07TmtF4h8Zq0uk5Z2dnBEHA/v4+e3t7PiqtIs9F6/mzn/4Dr16+Zv/ObdLlitHaBlHUYzJeR6uAurZExlC7qqM7X15ekmWZTDKc80Y7IYfHX/Lh999mMFJk2ZwgGlAVOWVZslyKa//xizP64Yjff3/M2riHdUtmy1NcUNCbrKGSAUV281783fZPu7189coPAE1nyAWgjKbq0nBaANlS5hllLmkoyrX57/KsWOUVy0WK0Yqk3wOrqYqSQAcQCFAchIHE8jlFEESUeUbSixkOE4YD8RBazpecnp6R9Pusb2zQ6w3RnhJe144sE4mgdQ5lNKtsJTLFQZ8wCuj1YrRWnJ6dopRmlWYy2fYa9RboFyaaNFotY8xZR5oucDj6gx5RFFA3FUo7ijwnz6vu98MgRHkmnlaBb4Ik1k06J4WJAtBK2HVO2v3WY0bjJ7fXEpiKssIhDYy19irhD8hWZcfecs6KEz2eFWjx/isGY8SATWqjKx6asA3FqFDYetei+ZChE37y2k7lUd7XhfZ1XLemtt8pioKmkqg/nMJIB+6HDTFKiwyjqEs0iryQOqCqahpPhzZaInWTuN95ElyXhKFUp3Rwzom80FPMq7KhLHJaF36jJBpQaY3FEOiAnkmETWetDxrwgxSjCJTQ0quqpKoKmrrqJvI4648xWCUTdOV8dKFWKN8VW1t7mrju2B5Wifa+thZlVTcYqOrGAwGt0Z+Rf1MKZQxhYDpWr8gTGmwDiogw8MCPkSGQMyFNI2iRxBP6z9XG98p3iZD72Fkx2m2p/I0DdEu5x6dF+MrBiXxEQhdasOiq/lPei0M5jfEAFwRX7+0BEqcA5xk1xGhlUEgM5aDXF+PPxlL5AAjjoyS1B7GqqqasC2rbiCcADSb0zBGLj23W1FUhz4MqI29KAlegqoxiM+bsTcLW5piNScAwccSJJIsURcF0esnO7i7RcMy/+tln/OW//xdY5zg/EzNfExju3r/PxcUlcS9C64SiqlllKxprGSURcS/m7t3bPJ+lPNi5xeX5BefpEls3co2gKPKSd999j9f/3V9zdHJKWZ6yvrbByckFX371hMvFipOjY+k78iXHR6/IixSjFFEcUzc1WivKVYYCXr54Qb8XU+YV4+GYMIwJlGFtvE46X5Iul6SLGRQ1ZZFzcnJKnhWsDRJq26B1hDEw6oXYckWe1qwuDpmevOZ4ekoyGfPdb38L0ExnMywwGU/Y373FoD+gF8Ws8hVFWbKYzzl89Yrjl6/Y2t7k377zZzydnpLEIc41XJyd8vrVAYNej93tLfb2dgmDANtYoqTHMs158eqAi8tLbGOZzmf0ByOCICLQiuFQnldV57vWUGQZ0+k5s+mU05MT6sby+PFjwrDH7HLOo7ce4YA8FyDMuQpswWqVcXJ6xvGbY6mpnOX+/ftC+18tcM4xHAzo9fqU1U2Z6/Xttzb67WTkelwc0BnIFUWBUg1RLE1SWyi1DWf3YHaO0WDIcDBgMBwShSHWOfI8E21Vr8eg38eZiMo7X7a0y/8/e3/WZEly5XliP1W17e7Xd48t9wSQCSSAAgrVVd1d0z1CmRHhB+Aj+dEowpf5CKQMZURGpofsrq6uXqqwJ3KLCI/w3e9uu6ry4aiZuycKmBdWPcEgIYGI9HC3a4vqOf/zX7pG7KE5zfz4OYNMsierumK324k7bm+MFpHEGZP9ee/S31Hu1+t1LyuoqgqXb2VS/IA6NBgO0SohS0dkWUqapL3s4KGRYL9xBADARoL8deDIQ/PCron0ThOMSru9KSxIBhCKV9u2bHcrmrbup7UPac7dvehAgM4lv/vv/cT4AfX53oRGju56dhN/6xWtzkIREfeJCupbAIFpHThB1rsPEQXpxb0ZYUtd3pvldUBE90w8fJa+zTToWAvdobXppQhdQ959lu5zCYuhlUztrmEN1+vh91dKMXjgPt/9XWfcJ5uUJYtjkizpp+GiL3M0tVAHu4n2Ml+HjV0KqQ78UcYRa48xHt94WisGQcI/873TstE6eAxodvUdSt+bBnbT+dFoRJZl98yMb0VotEGuYYwJ8TaeyWhEm6a9lENYAo/lD513hFOilvPhOgLExog7JWBcSAro7yOiee0ZEIJGR/4x4KTD+6SsQzmH8o5RPORhNeid/73FKY5SkmT4wETtoYGhfwDI3TNd5P2KyLLBo/WiblqMc/hInhUThSlQW5JGEQkR+7MJZy9f8sHzZ5Tlhsl4iHOOV2evaMqc73z8PQ5mh/wv/9u/730ShsMh8/mcJ09OSVNxuO5i+6q6YrlYMhwNmbt5MP9MmEwm7O/vk6Uii/n6+jysQSVvLl9z+vwZ42nC//P/9e8oigKjN4wnA7755hvOL66IkgF5UYDWzPbmpGnCcrmkaVsMQntfr9cSoxhSPjq5g/eeJ0+fiKFSVdKENcNai0lismxAMh6LG367Yno4xUUtsfacHMwx3vL6m6/ZXZwzNxFPT5/yYnrIdDrtm+k4jjk+Pubo6AiAzXqLb0QjX2y3vHwp9LfPfvITGE753/7u5wLKBHnWdDrl2bNnvblkJ63K85yzszf8+c/+nPF0wv/3P/4Nm82W97OMYSzaZ6VkAlXXNXUp+8H19TXX19c45zg6OuKdd97Be8+rVy95+uwpx8fHdAapd3d3iKN1yXK5ZLlcMhwOeH78DGst282WIs/Z7nYkw4zRaIyJzB+UJ/3p+Kc5iqLqKdWum+QhVO0mOIM/pEDXdUEax7R1SdvUONtKA+0d6WDIs+enzGZ70uApaGqJIB2PpkSRZEALAVzRNpYsibGuoqp2VHXBarMhTTM++fRTMY5zAJJksst3XF5e461nMp1K8o1RPH/2nPnenM1mzWaz4u7uls12TVXJXr9aroLDeUQcJ3QNqjGGvb0ZWZbhvKMNMa6d5K2uRO4o7HTf6zi7JlghA5bBcCB0eS9Gdl1WvPcClljvaOnM7HyQpDnyYocLtPm+/nAyzY3jpN9D66LAeUeWDh/t3d10WrgIElsXZ6lkxvt74zhQdJ2dMbLf6H6vua8ZZA8Q+rXq6N/eiya9o3t7FZgfFlzbxyH2kXghgqxv8gIjQSlNlg1QCIvOWSsSo1iaeoNMzr1TD+qqrqCz/Z98eH500P/7oNHtaiLCtVeB4dlP9bUN10mF7+F62YTvQIuerdf9dB9AIh/4+hoVaUwcBQbu/QujQk0kMpDOfM+JN1MugywX1javNNpIZGAcxURxxHCY9bIERfdZDB3FPnTb8j8jk3epZzTaDPu8b9dfOo9tWmzTigEiofewCucNUSL3daBlzi/XRYfpOJgHZEWlpe7wCJshL7YyCDF7xGYeni0f6nSNCjGJHmit7KMqUiSBNRqZiAgDCooiF3kQNkhhCIwQeXd9eP+V1iRJHNgRjtY5bCs551rHEtloQnqI9eAlVtzVJfuzMZu7K073p5TrK3w6pKob/v53v2I8HPDTP/9zNruC1//1Hziep5T5Dm0MH7z3Ls+ePgXg4PAQb8UsufO0ODo+oqwK0AKGPX3ylNXZFdpDpI0MrDxs1mtuXr5mOt9Hm5iry1u8M3gc213BF199xd1qTTKYYL1HK8/h6TGj0YCy2IH3bLcbYZs04pcyGo2DR866Z4Xu7x+wv3/IcrkhiVOJVvQWtCdNYrLBgLq13C5XHO/PGWUxmXHMJ0PGg4iLV1/iN5ecHO7x5MMXDGczVqstRSlGol4bjo6O2ZvtsV5vWK834rviNZvNlsVyQVVX/Iuf/YzXVxcsVUNVlFxeXIJzPHv6hIP9fQ7292Vybi1lUbNcrFit1nzw0UegDX/3t3+LB+IkZj6bM5vPJOHEBymDlTjRb77+iuXyDpzn+fPnnJwcY0zEr3/1W/YP93n//ff69aiua3a7grpqyYuC6+tbBoMhR4eH2Lbl4uItZVlyc33NbH/GeDIJPPE/PHj4o43+ZrPpG46uaepyvLsmsqrynnYsi4NhOpHmJOuMspKESYjgExM2FxAfeVmdE4f7xkOso75h7TTXoknKen+AsmhY3JUSwxUWBdsmveZWIvwiULJ4XVxccHl52Tc3u91OpvJxzMiMA+Xvvjkej8f3mnTvKYqc9ea6n+Z3zIAO0IiiSNz9J/NgBmP7BX0ymTxqsrWKUJOYupZpVd3U4B1xbIjiBLzofnbF/bT9YYN/PxW+b1K7Rv8hOPJQV/9twz+l1CNNuOjTPJXTvdlZFEUo+D3Kt+5+6YCEakWey9SkM5uxQRf7UIoQRdHjiDel/lHN+bcBCSmcXL9APAQ+ul9CKRNX3u7rHur4u8OjcObx9++uU+st3jqsbaiaBqvcg6bbcDCf4rwLz1ArekEX9Zq5KI5RSO5s0j87DhUn+PjeFT8yEadPxihChGMrGb6pzfom9r6QUY/un8ITxY+BF9tUoZFPSNIhWimJVbJtHwOkcVTF7vc+dxpprAOnA/Lu769NJ8vADPDhHa2dQ2nFcG8mKHo4P29bDG0o6oQ58Mg1ujt/V9Ll24Yf8nvmguIQWwX9ekkdniNxKra9G3MTTNYic++vYa2TCBcTYZ0lsglDUmoiKh9RO5Es2Koi0orEW27fvuEkOkAZoVg+OZ1zc3NFWZR87zvfZTqc8/Xn3/Dy5Ws+/fTTPsPee8/x8XGfALHdbjk+PmZ/PkdrzcnxCbumJk4SkawEL4iaiuPjI94sbzk/f8v+yaQHC75+ecnl5aVEGjnLdrtluV7ivCJKBlR1jTaGeYjAub29BaUwQSu5WCyw3tM6x3a77c9zMBgwjPZo25a7uwv8RijsWZaxLnZcXV3xZDIkLxvynWJ2OCU1sDdKGUaOq7OvUatL9kZDPnh6itp/xtYb7u7uiKKIo6Mj9vf3ieO49/xoaktbWGxrWSzu2O12fOc732E0HPGb12cCduG5vrnhaD7naShSunWqAylWqxWbzYa79ZZ33n2XL775OuQ35zw5fC6GrU2Db0Ufur3b9HGjp6en7O/vM51OSdOUs7Mzzs7OGI8nRFHEarWiKAp2ux2bzYa6rsmyjPfee4+ne8+5u1rzzTffcHCwz9HxMdeLO2bT6e+t6X86/nmOzW5LEifiXh6ax12eh4msChM10Xtb54hNhA3JQYNM9OR7sznT+YzJZIoyBq1i2bd8Z6ArWuim6dYvaY4m45EUotYzMJANBn1hX5QNzkNZFFSV0Hu1EUrm3t4hWToIQ17Zl9+cveH27pr1ekldF1gn9HWllHisKEWaZKRp9i02pejz60ImewrVN9vGaLTvGvok/LtgBhjc9iVWLwI0EZ2EUPZ8pRR5UclEjgEtEg1nvQUnufbO1FK3OYd3LTp8/v78gnQLYDSaYHQkcrO6RivNeDaVRhopglESM4fnPh7Z3xuICUihepBXDolXq6rOcFVAPo0mSQxOaaz3eGTtcd7hnaUqC2kKFWgdoVQUcqe1eB3Rscd0L6n0PnyJuY92815Rt400c3FKp8F/eI6uA/XD3+kQexUHCnxQkNOJIpTSpMbgDVgaIa27RgwFw/dQYQilwvQ+SocMBym4+6SnLEl7sIPAfnVB/qljYc6VeUFdlESRYTAZEalEACFtRH7b2iCrqAOYE9zblcJEEaOhMEFFc+/RWgY3RVGiMMjyLSzPOE5RyqONp7U1khQh67tTovIXmb4Kng8PWhVvsbbBuRaFRRmF1xFWdS79hkgpovDcGaWlhqGTfQBa4fwB3ltsVeLbNpjth+seqlkfniOlDSfHKVaJiWdrG3BteP5b8qJGKUMSQe93HNg3ONcDWUoJ4KC1QpsI6yomkxFJnNKUNSJHBe0dDqn/cY75fMput2ZkDCryjLRBWciLiun+IS+ePiVKUt58/gWLuxv++l//Fbu8ZjIZi/FzLMaLu3JL62uyccxsb0pZVszmU2azPaq2oaxqmrplkGQoB+PRmDe3wnqLTMyz06cMpzPO3p7zm9/+tl+fqqrh5uaOy+sFLZooEaPJ0Shjubijblp5t70C5bi7vRWmIZqmbrm5vgEFh4dH3N0u2O0kKrIqdgwGQyajIbfVmvXilsHeMXnRiIfBvrAwxsOUw/0J1XZJla84GGWcnByRTiesiwqvJG58MplycvqUOIrZbLfUtUiEm6qlKku0hzov+emPf8IgzXDW0jY1SWRQriVNYg729hllAwjMhLyqKHYFVdXy9u05Whv2D47Y2z9ktVoznkyZzeZMhiNAGMDOO4qyZHF3h7OOp0+ec3R8xGAwROG4OH/L+fkFewf7RJERfwtb4T2UZcXibkVVNXzn4+/w7OlTvv7qa16+/Jo4jvjgg/e4urnk+PiUxCS4Wvxp/tDxfxiv11Ghu/iv0WjUF+7WWuI4DYi4CjF8k4Dwqr5J0kqBtRS1ZVsErVhQuMShaa2bFgck2ePC/yE1vnNltnVKaxW4tKc4H+w97Zs7jcT2bXdiUNMVcZ1soIv9i6KIIVMiHRMFY4puitoBG1Vdk8Qpo3HUJwl0JlrdBtc1/puylJco0OmjKKIoikdO81oZrA2NsRMH1ig2jMZZP81qmobJLOkTA5qmeWTg1v3cTo/fUdm7KVg/0azroDdUv1eY3t7ePqKceRStg1YpqkI22yT4GDw8tJeNrGlb2laKIW1kMmCUIorARzFx8lie8BC06K5FZ5r38FDfOtcu6u3h9B7up/ld068UDwoiafa76MDu8EBtHwML1lmaqpSioG3lxcZiFKI3N7LZ27bCe4fGkxjwRlP5ex+HOBJZwWw+FdDLWaqyApuiXYq1bT957ibi6XDMJGjgahvTGcJ0wEaWZb2RWNtKNnm5etyw48X91tsGWwsFL45jNArXA1j6EdDz+PMrnFV4raShD2i+bS3WeXJvxd06igSIAjZFHYrnjCRLwybXoJIUFbwZ4qCffORu3zb9NKG7H/7bQJLx6HHb+yF075JSwZCkbWhbG9gKvgecUEKvFMNKTVGUtHVFaT3iiRw0o6pFW8vxbJ/ne4c0m1uG89MgP3IU5Y7JZMzp0ZyD/SPevDzn7//+V1ye3/Bv/vwveilQx6TZbrdkWcZyueQ//af/xI8/+4z94yOGoyE3NzeMpxPG2YAoiplNp7TbAhMMqM4vLvih+ZSTk5PeiO573/su//v/57+QZgnb7Uood4DSOT4U1UmaUFYV2+2W4WhEVebM53MxKA2RpFVVcXNzw2q1YjweYy/ecHh0yFBFjNOEarNlkA2o3H0SSV4UHM+eYq0laisS7/FFC82Go70Jz6cTxqMhV3nB9VbAjU8//ZRnz571ySZ5nrPdbkmSjKIo+Orz35Kpivfee4933nvGy4sLFou7QF8es3e0z94g6d/lNE3ZbrcURcHbt29Zr9c8efIEZhWvzl5zc31NbVt+lmY9cJgXBc57Fpd3tLkknMznc/b390mShKZpWK1W3NzcsNlsePeDI7TWXFxcyMR+u6VtW6bTKcfHxxweHjJUI37x5td88/oVp8+eMQ4RgHEsZn/VTthrfzr++Y7hYMR2t2WzFX8ZpQ1REqMCS8o6J0OF+QzlYZDGKBwH+3tkaYJImBVN05LnlUzGrRM6cZjE6c6QTAv9Poo6gLkDYBXOC6ho2yBRLOug1Y4Zj2eYKGI4HiPRVqIFr5qasiyw1nH26hXGKMTYLhLKZxRhwp6mtWaQDSQF5QGQ6Zywm7IsZTQcYp2lLPNHYHkUiT+AQrHerPG+xdVOXLh1l3gktZcPVG+CfrgocpnSRRHzgz3me/NgJuW4ub6kriu8s0GHb0Nt0TVWup8WS3MtQEKSJMRJLDKD7U6AcYJLfM/qk7QdYSIEtx8lZocCfqswJQaUyNA6L5+uDm2blraqghmfx+GIEjHQU0YzTDOc674mQAM6Bi33SikVWGji1dCxKWVSLfep+4wW2Sd1MAvshiGPhhYPpKBJEuOReFWjA3PCSnSf7ppNL+BUZzevQoPvvAtZ8po4jsiSlCQyCHbgaOqKJqQToRwG2SetdxAbVBKjoyCNQONH4nMhY2+DUpH4CTlI0ojhOAVFX9Nba/uYwTRLybIBb968CekUct7OOsqyRmuRZcpAjmAW6KianNFIhhB1WwfGhSLWBh3FRDrCNi1NXXUkmuDb51Dagg+UeoLPAF5qAWsx2hAp8T2ITISORAaBFmnBdDIW8K6ocI1Fu2CoFzw4lBe5ojT7wmxEB8q/9zhKvM+xrmU0ntwzKHyXkCQyChuMjcWLQsw1I6PQRgV5YcNuu6MupZEzSqLiEuNJIzgYz/jJ9z5mc3vNeDrBVTlxGqIddczRk6dUrWVx9pa3by+4vV3w4Ycf09TSmCqlsPc8HPKq4Be//AUexfMXz9HKsFquaawljlJc6xmPp9j1rpcu/OoXv+Lg4JTBcIK3ju025yd/9lN+/duv8F6AVmniDU4ZPAavPMNsQFUWKNPJhTvmbst9/LT4br16/ZpXL19zcHTEaDwWjzPf1fDyrhXFjny7pqghGU3DtW3JkpRie4sxNSfHc57MMlrXki9WrAsxz3v3vfd58uwp3XzbBRAMranKnFdvXrG+veO9d9/h+OSQ87fnrDcrRsOM/dmU49NjqVsb8WxzHuqyZL1Ys1yu2ay2PH3ynJvra16df8PF5TVKK959/30w8tiut1vyPOf27oaqrsjSjHfefZf5fC7DU+uo6oa7xZrNdsuLd95hu91yc3uNc42wmLRhPp8xmczZ29ujrmuWiwVvz8959vwdkTFHEXEU0dYNq7KkqR+bij88/mijP51O+4ZjPB5jjOnd4++d4oMZmnOk4euSJMFZS1XXFEVF2wg62SGsUQAAnLf4KCZLU4aDoRithSlU1wB2soGuSY/jhFZnDMPkv4uJ6Sb/QbFDZOI+am88HnNycvKo2ekM3wZ+RvStLHd5WFVoUGOyzKACVbOTJnQU/vtGU5G3onHqaOMdBbX7eR3VSoefFRkjEzmtyYstRTkJ1871FOeHYEIX4ddF4j28PmVZku92FMFboNf2WytJBR1iGhrpTvPeMRgk4spRlgV1oBEmaSKbk4lkw4oTXGMhLLDD0YAsS9H6PoJPNGkR0WDyaDLdfmvK//AafxvEeDjNNtqQTUa9z8DDuET3YIPdbjdUddEzHjon7w5c6MCY8WRK2zaUZUVdV6GhbMK5yoKUpOIeXGx3FEXZAzuy4Xcmigo1rOjMuxqj0dX9tL1pGuqyBCbE0Yw4Fgq3V4bBdE5V1Sx3O5qlsGbGw73euyJJkv4ePWQnDKKEvcGoT6moqpo0TcP17GQNmqLIcY1MPLxvqev7TN9u0i7GO1HPpnFhahOFWKmmKsnzApvNSTPxyegAsKqqBHlX4uYanlTKxuJrefZ6YEvLhKVuLAnJAxqmFG6t/1YMo2toXYNWMcNBihpCXctGKe9nQhw5krjzPAiTq1CgyeTf4Z2hcQ5dOyIlLrkGoC2ZDgd8/M4zns9irl/neFeCMozHGU1TsLf/hPEgZblY88XvXvLl715T1a73NOjWitVq1YNVVVXx6tUrnp0+4d0PP2C7y3n96hXTvTnjbMh0OmX6juHN519R12J2eHF+0ac5fPPqFbPZCT/5yU9x/n9iNBwxm4353Ze/IzIRVdNinWIwGZOGCKDBIGM2nVIYeVbKsiQJVNnufcoyYVUVyrFcLtk1DjPZZ29PmuCRGjEej8NakDDbOwK20BSYpmZqhpzuz3k6nzI2Ebvlhs22Yb3eBfOvIbvdjjzPGQwG/XO7XKw5++qarz7/nO+8e8rR6R7bzZaqqsR3ZW8m0/bU4Mpd/87f3d1hreX29pavv/5a3ltjmA+G/OSnP+XJi+d8/fqlNOxhn9ls1qx3W3zhOJjuc3x8zGw265/VjpLfNfuffvYul5eXXFxckKYpw+GQJ0+ecHx8zHg8pmkalttVMAi8oagr9vb3OTg4wBtJlVmsln2E15+Of57DRDEnJ6ekaYaOJAasM4ddr1ZistXvG5rpaIxSwu9trKOx0JQN2zwPNM7QpRL04c6FkPR707c4lv24bpu+EVNKmgqjIUsVakSY4ke01tG0jUwrvQD5ElfWTfs8x8cnDAZZGJ4IRX272/YGvdqoXgZ2TwkH4SOJpnowENPP29swccrzwDiE1Wot72FVh5+pw+RYPHC6Gklr009EVdBeOw+NbcmLDWUu+n8dmqwkjmgb3xvCyvt+z5rzXozi2lbMsNrWUtVrqnrbT8NBkcUZnRt6R/OuXaCKO4k4y0IqkOTQC6XVWaktdKpZr3ZhYqooy4LDw33iyFA3jZgaDocBmBAztzRN2e42jPbmmCihbj1V7XFoyqrAB0q3dx4V7olSqo/sbVvXR5YdHBwAhFi7e5Pe7ngoT+wYaijHbrcGJaBGz7pQEVpHJHGMtTVNtcN5mWTr1grvIsg6y2LL4uYKrDAq8I5IeSKt0AqqusJoSGMBjWyr0C6hsp7tZouznjhKQ4SuASI8mjQboLWRgUJeyHlpAdPG4zFpmgZma8niboH3shfGidTjCphO5XOnaTDzcxajpDYa6jFtuEZlWRCnSUhGUFDKw+2sw9n7WkCjQMn70tqWsqpQCtJ0gI5iiUEzGUbHITVC0zqP88LEUE7c9++WW0CTRRlpPMCEuEvhVXTmii4wCQSc6oAG5cVzKw6JDWVRoDS971gUxRgTh+ujemBH6jVPUEZgrSPf7bAtqBBB6GwNyhKnBu1afvTZ9xi2DYNBRmxrtFE0FkyccnRyQqwsq+0dL1++5h9++QVlvqHIC7LBQPyXtBJ2k1FEaczr16+5vb3j9PQ53/vuJxRFzvnZOXGaMh1PRa53dMxNfU6R50RxzBdffMFPf/YvGI7G5GXDIBvx05/8Of/3/8f/hDEpp6cnvD57g9KO2tZ4HUvkXRJhfcMgnZBmSf8ujMejnvndDfb25nucnJywXK9Yr9c0TcN4NKC1HqKEZDBgMh4xH0+YuIQkHqK8oap3GJMwyiImMRzNRkwGKdttTlmULBdrJvM5B4dHVHWDsxKl2HpLXubcrZd8+eUXfPnb3/Hxi3fZn88pypz1dkHjSt57R0yRjVKURUFbW5I4pSoEmMm3FW/P3vD27C0/+9lPefrkmHdePOGTT7/Lbz7/nOvbaz7+5Hvs6pLddhfkC7C/v89kMuFg75DBYEheFNRNSZGXbLYbNtsNJoKr67csl4tQj4yYTMbszQ/Y2ztEKcVquaKqa15+85LtNuf48JBPPvmkN7JeL9f8MZLh/2Gj302wV6tV34R009Q4jlGYPo7Je4m08k6QBWcVWkVEkaZsG6Is7SNpdNfIaI1TWox1rKUq8wdab9vT/eF+2pvN99nt8j7bPIpj9vf2woaoAuXcgL6fKgP9FLxrhAEGfkjbWIp8R54X0lDE0oR3n9OrGvQW7/2j5qs7p3sK/P3fdeffswz0feRKkhjuszihbhzNuqQotmjdTUHpqdxAP73vvkcHJHTxVJ20YfytKD2g9wp4yAZ42GxLUVBx+fYN00FKtjeXKaC1QXt71NO5poMhz5485fT0lKqquLq6YjgYstlsuL65Zrlckpc16/W6/5kd8NE1FF2z+bCxf8iM6FH6tpXJeLXtr/vDKMLOjLBtW5I0IU5MzzyJ47gHEO7vUcv69koMU8JzXdUVTV0H9+OEOAq58K1M0YUWbMkD1bjzLVBaUReP9eUdqPCQfg8NjW1JMbS+xvua6ua2l32kaUoaJRRl0QM53a8uSrJ7bpPIQCO0TWM0w9GIYrOkKAraJsRFZikuTHQl91bTtDKFdq2laeoeAAIxXIxMhDYaVzc4KxILE0dEg5Stb3HVjl1TUKxu+/v4sMVRJkKZSOQ3YeLumoQqsARMuC5V3T5QEQl0/+1oQ208cQJJEpEmKXGSMJnI5tgVVG3TUpQFAugZTGToqP3eeaxyDIcRKk3QzYDGK2or6K5qDO/sDzjdm1MtzoiaEpO1RLFHGcfpkyOM0bx985Zf/v2vKTcOiLFtyXq9Zm9vr3dv7wCl8/Nzrq+vWSwWPSDy8qu3LJZLtvmOo/0Dnu8foRPxfUhD811VIgW6uLjo19umvUZhKMqC905e8PkXv8NbmZo4LyyVOCD4RguFtXteRqMRo9FIJEF13ccOdmwr6xyJkcKpaYSVUWP792o8mVA2LZGvSOOKaTLk6TxjnkK1WVC1Cu1jFqs1Vd3y5MmT/hnNsozFYsHt7a1s4HXLaDTkX/zFv2CSerTNWW/uuLm5oSwtn/34e/KuW0uWJFRV1XuorFYrqqrigw8+YDAY8Ld/8x9JLewd7DM/3Of05JRkKBKKzXbLdrtDKcXTZ085mh2RZZI/XVUVq9Wq91bZ7WQDznc7qmBUuL+/z9HREXth/+i+bndb0FrLxx9/xGA84te/+7zj9kpBbC0Hhwd/bPv80/H/52M+nwEyNRG3/WBWZgyj+bRf551zeOtpnBW6sO102QAR6WAqTR2EfT6+n+iGFco5T1XWbLc5eJmUa6NQOuodyrtJtg9O7rtdgVOQDgeI5ahQXvEaHcFoLMkQWZrirOv3cKUEdO0s7RVQlCWbzQa4B7SFFf8gRQgBnnu/lU7jDj3T7pGOu1+072nmPvyPYFboceLwX+64vSqFLdXVJD6Yn7YtOgDq2sQBoJDmdToeEccJR4cjlFYU5YiyWgnlvW5QSnO0f0KadIar3wLLvKyrYjB2E5gVCUbH4DXD4Uhkh+EzRJFi/2CPDz94j3y3ochz9udzzs7e8Oqrb4QaHsXkVSkNcdDGG62IEoVDMUnGfa0hSQXCONA6UOW1xmuFkwxH7u7u8B6yVAALZ23/SRTB/R6RoXmPuLVrH0y6wt/ThuttUarm7kacyG1T4axFK8d4kKG0plEap6TObutGptlViW9qjHLEmp6+3ipoIwUaJMTO0wQWivcKNZTmTHmN8wqLY7XZYAPLofd2Cs+kd5v+8ygtiUSqVb3hrm3F0cF7qXd3xVIYYZEi0g6tTcgCB5xMkXcb+Z6SytB5RMkgostRQGl0aJSN1mRROAfX4OqWmhKrDLFOmU5mOOWJTeglEEaHdV6MF1For1GRF7BfKTxBmuOFmq/wSOSEIVAbAYcyUEWeKNKk6RBtYDAYQjfRb8WksbvX4duHd1nSoBSW4XDMIBvinRcjxXqHtTlJZBmZiCcnh1z+8hfMQGS8GBITMRoOmYzHbFdLvv7qFcvbFeNBxjevr8jzkoPjY6IoplUeE0c0tmWx2nD25hK8YzKZ4Z1ms9xx+faa2XRC/OwdptMZuVujslT8tCKR2cxmMzabLUXTcHB8ytnFFVVZM52PePfd97i8vAalKaodTnuyaICnJUoSUC3SVt2nUKVZig4D4l0uRsF13TAcDinDkLK1Ih32UUo8VGA0tq4ZZGOG2QiNpa12xCrj+GDKWDfQlqxut3hvqMqaxXLFx598v2elVnXJdrthvVpSVDUNjvF0zF//m78mqR3etmyKLdeLK1pXcXx0xCBJqOoKcOhIsV6vWN2t8U6xXe/Ym8z54K/e4T/93d/StDXPXzwnG2Z89PEHWBTpKGNXlxS2Jh5kzGdTJuMxWmla59jlOXXdsN1s2e1K8rzh5uYa71pu7i5JkoT9gz0OD49IkwyFZrtd41GsVkuM1nz66SdEUcIXX32FbVrxR0oSqjzn+Pj4D+6df7TR7zTwDw3dOhp/T12pHU0tL3TXRP6eTlwblBEqjTdCl/JK4ZTtNUqimbnXoH/bxE4WTpn6pAOF9YrGatpW6EGrzVXftHbGLUr7vtHugIk8z7m+vg6bKDTruneS7Zp/kSDMGEYDbOuo6h3W5X1z7L0PE/DHmvHIaR622IKCFn1TYIwhTWPSzAhIYRtpbuMu1i0Ym3iNUskjtBx4xDbo/v6hDr5rlL9Nt+8+18N/0zXyZVmy3W4p8x0Gi2scu7okXy9Js5TJZML1xTlZlgqtdbqH9paLs1csVysWd3fUTdObVVVVhfUKhvsMBuJM3OltO2+Eh+BFB7x0rI1+kv/QlM7Ej/7+IYW/+1x13WBtfZ9RzL3etwdlgER1hjzyd4kRB3rvHa4uKasC7RuwMsHpDPoM4jSrlRekWkHjHxvcKa/RxJgoGBoag4omKDMS7by1tE1DNpoyS2VqEcVSKE3SYe9t8DDKcbfb9f4GbbWmbnbMpxO2my1ff/4b0iyltZayKEGJ3IJAc0+zlDgWB/41vvdfiKMItAmNcUvb1v09KSpHvnViLpgmzBODdUJRa9uGFqia9aPPHaVDBuMZgzgmHg2Jw7PeMV+8t0RGoxNDF73kndASnX8MlrjWY60Ahm3jiaq2B7GSOCJNJKkhK+59ITomhnc+/E74ZfAuAmWIY42JHEpZDmZTfFWwubkkayvIGkzkca5hMhlzd3vOxcUlBwfHPP/0A5Y3FWe3v6BpGkajEXmIMZlMJlxeXvLmzZv+2T4+PqaqqjBBsdzcrqWZzTK2dxtaa0mihCSJqWtJ/tiWa777/e9TVC1XV5cYo1iv16RZypPTU65v7yibik7Hq5RM/Mq6EUQY17/Lg8GgZ4Z01PbBYEA8G8u7X7bEtYBoJjL4igCetSjvaZ3CeM90kHA6GzLPFEMtEaR3q5yLyyVnyy3vfed77O/v92DbYrHg8vKS5XLJYDCQqfrgmGGiWF6+5OZmQd0UnJ2d0cTDfvqP932Dv1wu+2t7eHjIO++8I/ngdcW/+1//A3Ga8Nf/9l/Resvzd9+lKEq8hslkzMHRIfujfeIgnux8EzabDbud+BB89dVXVHXNLt9xcnLC8fFxD5QmScJms2G9XlOWJavFhi+//JLbxR3vfvABh4eH7MqC68Utt8sFdVX9nsHln45/2qPbx7QxIe890G29pyiL0GipoFVH/qQkJljpCDp6rpMptfeEpBgTaJr3tUIUKYxxRLHonq21PcXVe/ke4mMjtGKJ6Iuoq4pitWIwSvHKhR+pQwMj7aD1LUrDMMsoyrw35PNB5y+gtAvNumGQybvSR7aFPVMmzmmQVA7vpQWhCeukjt7xe7WEnFeYPAaPD09zD0BoQxQoyCYyeMIebMRA1ve+P8F0LUg0nXUCgMTCDJuMTphNnsmCrMA5ycOWQ75WaSeTWiUT1d1ux3q1ogz7oFY1oEnihGwYYV3RM6tG4wlHx3Oub865ubqkKrZ881XF4m4B1pPnO1oAHTGdzVEqxKc1ll1VA0bctkPSgNcyDcZbfNtSVg7vFSZMyVWIfvUe6qp40Nx1NZlYxUmsnQxzJJPdcX19KXthdF/DyH7nKIuS0WDAeDjC2xZwuLahtTWN81ivcHjRohNqwTgmQnwOfMifb72jqBqstxLrbGLiKCYdDlE6YjAYk6YDXOso6xatHPP9sZj2KY3WIUbXC9Ojrkps2xAnMWjDer3p35GmaSnbkta2gXLceQ412LahbapAQ47QWpElGbvdBmNMX+913hqesHcj74vzDts2eOfQWhGH6MAsk6SZtmn65ITN+jZQ+4WCnw0yxmORSRwfHOGVIa+bnjHQBtmKR+qBPjnCQpnXEsurDVp78W2qLFoLwBvFmvnejEE2wto27J2OPN+ElASBGYAg31Chntedg4M80zr4BPiGg/0Z+WpJojzGKyLnSHXM3nTCaJDx9Vdfs7y9pWk8P/jsx5yf35LFmiwbkiUCakdaMZlMWW5WXF5cBAkKTCZzmtpyd7uk2FYo6/EW0iTjtrrGOundlI6wrmGxWDLd22d6eIDXMTd3d5g4JUtHeK9IkizIKaOQcOFxviXWCZvNijwvGAwGeK/YbDakiSSeSdS1OIMoZcgGGdlgQNtKrK1D4ZUBZULt1oBrSGNNpC2xswxjTxo5tGspd1vK1YZd3vDF22s++uyHTKZTefuc1DdXV5fcXl+TDQdM9uZ88MH3obZsL+8oF0vW2xVvr87RaSTEMOfAtaGvbbm7u2G3LnE1PHv6guODPXbbFTjF//t//S9MJ//Af/fXf85oNmO8tyfgsxJz8sODQ+bTSb8mOgu+tWw3O+7uVpy9fsPLb85I0gHnF+c8f3EirM/JjOEwo2kc3jl225Kqrsi3BX/7t39LnCR88P5HPH/2lNgYfvv551xdX9PWNfPp7A/unX+00a/rup/K9rnwcdxPQ51zaJWgVRYWPHlZ41hi0Xo6vNE0UWiKnaNqOhO2e+dOpSSjtjMV76m9AViAzizHc3t3xu3tLecXF6xWK7RSPHn6VND5oLU3Jkbr+AGFyrNarYS+GoryOI5RVYnRUjgPhpJvagwoI1mLeVFQloUUDOFaOOd6t/2uGVVKQToUBPzB0QECvXEZXmJRrGSKWtvR/GPSNOoncLY1tK27n2IG8OThNL+TJXQFUDcd7wCa7uiuwcNrcXt7y2q1Is9zaSTjCNMWDIdDhsMxcXDlxlvauuBuu2K7XvLz5Zo8UHC7YqOu6weUcIOKEkqz4ODwsI81fNjcP/raMIUpy5KqqnqJSPd1WsmkwNq6fwa6iL3Ok0C0Ug4nlrQ9GyDP8x4ciGPJKo5d2f/3JlzT7hy8F5Mgb2uUa0X/7oU+liTRI2aG0gaT7nUVpazrQWNvdERshB3gTAqR0NiTsLn34EwkGbZ4z3KxkEi4LGM2m6G1Zr1ek+d5z16IIoNvhLY3HCR89PEHrJZLFosFSnUbp7AO8KIRi7RHxTJxtc4JmFBUwWPhMW0+yzJs04i7u5cIyVFyb5ATIUX1bn316N9ZFWFN2jeYD70uxpMJcRzR2pwW8e7oiyJlei+H+0OjiMQgMwpJFV7TNC68Z/I59/YOHt3rrtF96AmAbaBJJCoQhfEOj5glbu5usfmOwUBRuwpomc5G3N5e8frlS04Ojvn0ox/yxW/O+MUvfsPpySnj8bj3+OhApC7FY7fb8eTJEybTCYu7BdZZDo+OWH+z5dnz5wwGA24DY0NSF+D12Wvevn3Lux++QzbI+Ob1S7I05aOPP+LVq2txgw8aN2FnREIbv1sQJ1nPsuka/e4ePjQU7VhA8s5EaNWALWmrspccbLdbbBox1ANm04xpPOHFsylPj1JGUUmxuOHVq3PenK/YFopo75CjoyPatmWz2VCWJa9fvyZJEt555x329vbI0iHl2rFe3XFxcclmseBuec12s+XH/+onDAYDmYwVW7a3lxRFQZoKmPj06VOSRFIFbm5u+Nf/6l/zybsfcnVzzWQ+4+e/+iWt97z74fucnD4hGQ6EDlpbbC3PdFmKWWtRFFxfX/P555/zxRdf8Mmn3+PZs2ecnJwwm816SVFH8e8mo6vVioODA1688w7L7ZqzszNGoxGrfEtZlcRxzPPnz/+xbfNPxz/RsQ1rYZplQj9WUjY776jrRpoqpEHRnSO4Uv2QARTKK0ykhBpN5+8hRXjXKMu/lamodPWqjzWVSbpDe4OOIzwCKi1WSy4vr9jlO1QCe4dzoeVHoq2OTESkIwyKuhQ36qurb1gsL9nttuK/EXSvWsVBu98NPAQcrSqZHoLQgmUtkfWwqu4z6dtWWDqT8bSX+HVxtw/3K5DPpxAGhFGBWWeM6MCjB7p0L1O3thT9t6YD3jsQXjxLBuPxg28ulGdnG6yTzHXbtmF66qUR9halpCEHJSae4fwJQOB0lgUGhWWX31KUdwxHQs3/4usl/+FvGqGGFztwDdbneN8KE8p7jMmYzo9YrG4Zj+eoKCWKM4bZCO80TZ0DXd65xlmPqwsUbV+famWIIplk26ZBK903n577erWuJY5PUmqC5CDIB0aDTCbfwd9AeUQq4g1JmmJby3abYzQhIz54CYS6keCP1A3DNHF/H7wxWCXNlw7PktYRkdLEWktTZgyu1dTOkqQp+/tzUYME+UtHA3bWUpdloOSPyNIJURRzu1iSJDHD4SCsmzVaR6jWE0UJSWK4ub2irtuQmtOAh+EoltcIR5xE4uUQ6gC8EtOyopR3R2sGyUBo73Q1mce3Qouv61LqHHl48d7Rth1DxeFbS7Gy3HkLXrHbO0RFCWY0xKQZKkrQiQC009EY2zqaivD+aUZ74m+hMWgjLD+UQklJJTLZoqau3AO/Kc1wmKEUVFVJUea9TNKL2yDORSJdto30OF4AjTTOeHJ0yMXrM45Q+NZiUcSRIUkibNty/vac509f8LOf/BVXF+d89fVLnj99yt7egYAoiAS4ahpWqw3bXU5eFkyHY9I04+rqmjwv+fjj7/D5578lG45o2pbFQjT7OjboKBLT2+WK42dPyQYZr99ecPrkmE8//YTbmzWLxZqDgwMuLq+kLgumiJ0JtwpATGtbvFNk2ZBBNgmgFgwHw7AmqD6po9Z1cOcPA1+taZsa29Q0uiIymkTD9z58nyeHMZG3lPmOy/Nz2m3Bl1+/ZnTyjIOjIxrrsFXNcnnH1fUFOMvHH33MwdEhVkNRVmyWK/LVit1iwdvzt2x3OT/94c8YjYds1ms2ec7F1RW7oiTSEYd7pzw/eUGiDLZtWa+2/Jt/89/zyWc/4Be/+gey0Zhff/45T5+/4MOPv8f+3iGTyZgsSanKUr5PFIFTrJdrVqsNFxcXfPPyK379q1/wg8++x8/+/C+IY2GwaKNEUlz7fv3c7XZcXl7xwQcfiOdQXfH2zRnjyYRIIzV+ZBj9Xi19f/zRRv/4+LjX2VZV1WujB4MBw+EwNE8pzkaPGsmuIX44eW6attc0dmh8F1HhO/w9ZFp2U6KueO0mwl0k3mL1lqYRQ7P53pDRaMRwKI1fVRfs8hbnDK6NelCiqWua0Ng81OMr70SDpmscDuUNkU7Ii7wHGaz1KKL+83XFIdBPrdM0Zdv8vrt914h3rtvONSQpZFlKlqX910nj2lCFPOeykMnmwzib5MGN7BrUrgns6LP3ufIPtlt93wA/9BToGj1rLZVrSX1LWRSUhVznuq4ZDmX6ttls2G23GAtpZ9KnlejE4wirZZJgjMYbw846FosFeS65wd11enhOHVDSRcjVdd0nCPQTfWWoKv8IHOiiDh9S95smR5t7917vJX/3YRPfNC1ViMTrroWkFsQ9Fc17jw7PhBQbUvR1WnjRUGpQEVE65/crJzHSiCLxoSBN0GnWpxi01jIYDGibRqhLiBtvFOLQVqsVd3d3xHHcSy46g7Ll6hrtCt558Zy2bbm8usS2TdDlCSAiUpco+CEYmSZ4i1Y+FBgiR4iMYTgePWK87HY72qYmDvpEo4B6C97db7h4zLelySqSiUirqCtNo2R2tVsYlrFo2KI4xg+mmDjpKeViQPWt7+U1OAG7+oLb3xcFhN8lqzroTE2MxzPIhvcRm1bQWd+WtFbeWdVWzGenHO+nNJd3jAcZsaqIBhlllZOle1xeveLZs2f86Ac/4vpswW9+8zuUN/z0J3/OYDBgtVr1QMzZ2Rnn5xKTt1wu+c53voOzjtvlHYNswHvvvcf17Q2j4Yjb21uJ3RsOubu5wztHvhOZ0t58LtqrzZaPPv6Yzz77jMXdf+LVq1dUIUs6yzIsmtn+IVEc9QWfUjJRy4IJX+dhked57ykQRVJkyD1VfZRiR7vv1wulaIP2f3+ekZiC9e0V12++5vzskijZ589+8meY2QGTyYSrqyu22y273Y7xeMzBwQEHBwdorSmLis2mYHFzQ1Hk3N7eslje8pOf/oQPP/6YJIlZrndcvfqaSWI4Pj7m4OCgj0LtJvKff/45tm35zrN3+eST79E4mbp5rdnf32c2n4HWNM5Ko9P4HoBYLpecnZ1RlmWfjPLjH/2Yd995lygkYXS/Hsp8iqLoJ55FWRLFMZPJhNn+HsvtGu882SDrkwL+dPzzHJ28ovNm8ypQpTFMJxO6qDjNfWwZqGC2pfHhzwTduXy9UJ67hqw7VJguoxxd2JxCJHlGa6qq5uLNJR5YrVfcrZYkacJsPsdHri9+y0pASG8d3kqueVsLeL9dvcGZgnQ4DFNfjbJjuil5x1iQ85HfrRWjuKapUaozPLuvs6I4kuvkPc6rYLwWpr5e9Q7wdMw6L9WX1op0mKJQYbrpaasaG6ZjrYM2+Lm0QdMsoHfUr0FaK25urvtzlZeoAl2ilCGJU7zTqGCs572m49Ztd3nwb+kAyYf70gbvLRJdJ3nor8/y7mOIPMxrNAalHagKT4XT4mbucKxWWzwRbWswpiTOStJMGgyxQpC77Jwh0jHpaIhWVs5DGZzRQt1XkvYuEXAi36jqupdhVVUZmAthAm8gSZNwTe6fo/uL1Okquii9LkJW6qnueZc6BFDiU2B0SBBArpOPEtrBHKVjotCAGR0RK0WkVS8piBQYExpX7/FaGujOP6J71uNI3qOqyKmKHVobZrMZu4scay3r9ZrtdktVVvzlX/0li8Ut682qB2mSNGGQiaHfZDIVSV8wC+ufdaVk0ukcaZaKsa8H21ihvjuZtndgFB6UkevgvQsM4BalxCQZZ7G+xbgW7yw4z/pa/HeKSHyUojhjON9HoajGc4bpkCRO0UpqCO9avAPrGnwbzAC1MISTwUDOHQgQY6DsyyBBKUnjyAbptxr9EB9pW5xt8daiqVBURJScHh6x3qyp727x1jHQAiq5tuXtmzPef/99np0+pyxL/u4//2esa/n+D75PHMViIPrAp+Ttmze8vbxgt8t5/6fvkaUDdvVGahal+OKL3zGbzVgtF5RljvMSJ1mWFd+8ekuWDWnqmrs3Z+RlzTvvvMOPfvhj/vd/9zdcXV6HtdMEVtV9dHYHdnkfYjuVAq2Dv4Tqf3XpFZ3ORYf34J7hoWnbhqIs0GqAcy1KNTw7fY5ur7l8fUmTrzl/+5YXx0/42c9+xpOPPyWazbm+uUYDi+VC0nPefcFkNGaX78B6lssF68WKfLlgu1xQVBU/+xd/yd7hAQrD+fk5682OFsV4NJOhxeQAWzqwjvV6zS9/9Stq1/DkxVM++9GPMXHE7PAQrzSz2Zz5fNb3td3R1A27Xc5qseb16zN2ux2DQcbpkxN+/Gc/5vjkFIWlqgvKSuj9YkCe9nKtjjqkdJCrGtnz9vbE+8g5y4cffMAfOv64674Fr8TUwMQpykgsnDEdCUXRtDtae08rRYH1GhMWcddayTJl3Lt3P8wJf9h0tYhmrrGWqhYdddfcF0VBURRUdU3beNJ0zHgyYTwaiUahqsmLhjyXpt7bFhO0cyj5oMmDaLI4UpLXODvpN62uycyLHO9qGi+OvK5VeBdLRifgfcx8us9wNJQGUBuss5hIDAfrpmM8iG7GEBHrmCzOJGM9vpcKdBFrra0QZ8o2oGOGCB41+m0uU+1+j1Cqlwp4Y2hd09OSlLpffFJfoLzFOIcK1OnWWrS7d3dVSmG1NOlGawwwMgrT5lTrHaZtmWYabwa0TpG3rVCVjBF9V5BnEBz4B3aDthpTRygf0zYGZ0dERtDrJI7ZP5wzm03IMgEC4iShriqsdaE5uGOzrbDpKXlVU5QVuhZXSvFvSIlNhKsqItugbIsrW4zWJDqirmphlkQSt9Y0Dqf3cMoFWqXDa4VVRuJevOQvq0TcW3nAxGi1pgnNrvYaoyMi/S3qvpJCyjyQsWRDQ5KBc8LKMLS0eTC0LIUVUniHLlb9y+w9OKPZ3bTUTc3wyRNS31Cohlan/OLzbwJoZAPTI8LEGdZoCqspnce5qA+qdc6Q7ySGSakEkhTrGoqiCpS5ewCrN0JEgfMk6SQ49t5Pz+umlnPsmCLegt4FRFZikUQn7WnriqLeoJSm2SwwAbhIk7QHbcSc0sjUKxHJAMoAMUrF1LUwhwbZhFineA95uQ6xWvcsi9FsJO+itZRVSVl7WpuSec9eNGJKw4u9AZurl2zLHBslLMuCw0IxNwPaRcO7sycc789Ynl/wD7/6FX/727+jOdS004hJNBFKZgVl3XB3t2W5Lqi94WaT8/SDj2md+A4cPnvCMt+K7r6pubi4QGklsYDGcLsr2daWk6fvcrvYcn1zx9On76PVhKEakroUFY1Bp2gqXCgOh4OM+WjAdBBRFCWVq8HEj65DB/Y9ZBzRatAxTitKbVkDa21oByNIhhiVMoxiMnVOolP2p++zvLsmv7rj9nzNfH7Kx9/7jHQ4Y0Pc69+ttbz77rsYY5jP53jvJeWkqtksLqjKNZuiIneGj77/55w+fYovPc3tArdYsTdIOTze5/j4hOFgjG09RVlTlWCblNcvF/zNf/yPjI/3+cEPvs8777zg6PCId148Y2/vCNV6rC3l3a/EF6auaxaLBWdnZ2it+fjjj4njmLIs+fCDD5hmMwHClMLWjnJVhSbPU+cN29sd6+WWKEpAKc7fnrPZbnh++oQXByf8vHGcDmYMH6tO/nT8Ex9xkgQ9sDjDm8gEercwCZ21fbyk0POlyEzSDCLVg4Y+FJpeRougtZB+Q/PRhGgxFMSJGKUVed7nTO92O8qioirF6b9z+x8MBiRZio5gvVnifEtjK9qmxjUOFxp+QszdaDpFmWEAmsGYBKMnGB28WbpmVxu2mzVtUwubAB/k/F4aIq0YB7Bch/VXYt8INOe2b8CUl+gxjwctMW9KGfGcKQu89aH5Ungr4LB1jiZMxyWKUOoLFyb5LjDhQCZSIoOQrzFRGyRTmqaSfaNvlZzHe4PCBCDSIA1UI21BL1UEpRxitiCNvqjrO4BGalFJOVB4N8X6VnAGDcpHeBvLRDsYSFtbUVdCkdcuYT6bMp7O2Nvfp6kLDvb30T7CW4lE3iw3XF9fU1Y10/k+y9WS3U7knzK0shitGGSJXDMrGnHvPG1d0gEU3exZEeqlxkoUW6ylHgMM8u8IXk1oMa7TgeUmz6y4xbdaJtEqSkSiYhKMFm+sTmqCVhg8xqhueI820kBbH6ITvRXvFtuAtazuVkAns5SYuGyxoKxa0jTIE6OIWtf8/Of/QFWXpGmIqrSeODbEQTpWFEWfkmGtpbE2AFD375zM7wl1SC3PiJcoRh3qNaUkdlLqXwHypQdqUc5R1xbfSEoESG1rtEgpxkmCTSJh5+x2eGBZ5Nx5wuR5JEkRAUEUWWWEUQmxTgO7kP5c5fm1VFUZrqcKTAtDHAtTOUliJCKyYxlG4f13RCoh0ilPDp5S5wuyNCJ3NdpbrI0pi4I0izk6OuTk5Jir6ysuz6/4z//5vxBHCQd7Byhlgre8Egnuei1M48ZS5RUvnr0T2JSW45MTrLUcHR0G1omnqivxZrIt6+2KvCwYjQdstxvuViuevniX1baiaS1RnIpHhG3k6Q1yjOFggEKTxRmFLWi8gE+dJEoFKoT3KtgWWFyI0IyDn5WrVfBckbU4zUZiEJlENG3J0STF1QVVuWJ7d4P2joP5Ae+99z550eC9sDnXa3lmT09OmExGpEkS/Cxqlps129WWYrfldnHL7eUl73/wHk+eP0NFmqptuL5dMN875NmLd8kGI5I4JtEJRVWSVxV3mzVfvn7NP/zy58z2pjx75ynP33nO83ffYW9vH600q8Wa/b09ip08F5GJ2eQbFrcLrq9uyLKUk5NjXr78BuctH37wYZCOi0F404Qau27ZbnOUV1xfXrLbbrCN5e72hqZueXv+lmfPnzOdTGjahtOTU6L4D7fzf7TRHw6Hj6bR3aSo+7u2bYkTSDMjVv9xHOherqetOWPQFpwVd+w4kig7oeHUqJDjmsQxtDW73baPaCqK4gHt3GNMRJZq9p887Z2lm6Zhu5H82rqqqBuH90amsohJW5ZlfRP/0MxOa91HZXW037Zt2G5Ej58mA4aDMXiDcxFJnATd871Lf2e+1jQNRVFgtcZoiI3GO08S6XD+KsTOOJqq7q9fpyl/SGmXyXVo+px7oIfjkRb/oX9Bd8hn6PRhIf7NFugQadMdgySlQ48F0VXUVmhKvqM+KrCBLuYI0wEDKoqEHt657H/rHBSecW/258BVsmG1mjgecHIw5cmTJ5jIhVx4R1Ou2K1rMZYLjIm6qohNzHh/jyhSbDY6yEeisFnLFG40ytDNEBckBN097vTtnXSgaS2FfTCBV6rPh318/oEI1t2PMDZog14fo1FGzEseHnEUifZYB/qo1jgr+ZsPWSp5nvdMhLYVOmNsJVO0u0UdaGa0YbGSjNPWx2AGshjGgpZ3JoWd3KFtW1prEU5eODppyYMnQOHRkfyp+0oTdZKa+yOvysBOkPvfhO/fRQF650BbNFZAp5CW2LQ5YtDUrQti/ONsTb6ryHf3BpMPvRfixJAOIpJ4QJaNSOIRSTwEpSjzDRUyHVq1G9DC4EhDRGGeb3umgHVS9OskwpUl67s7BrFieJCxrgq8tVijqE3EdDLn6s0bnu1NeHZ0SlksuV7d8jd/+x/54tXXfPLTv2B6vIdqwSiZVi9WK9brDXlRUbsWqzTDyZTdbtczfLpJ8s3NLePxhCQa8PbmK9brDduiZDSZUpQ1jat5/vwdZtN9vvz8nO1yS6oT9g+OKH3bGxZ2siGZVli8bVDeonT6yNPi4bPQe6kUJbGT65w3Ddu6oVYKnaYk6QCjY1zbUu6umDx7F+Vbbq5vSVrFBx98j9OTY6J0QF4W5N5SFxWj0Yijo6MAZsjeUBRiaIr3DEcpr8/uuLq75emLd/nhT3/KarXCOcd2sWB/MuHg6TEmjUhTcSEvCkGzN5uC7bakKi3L5ZaX2zXfnF8yHKT8n//H/xPf+d532e1yEqPAt7R1hTEDbm4WfPXVV0RRxCeffML+/j51XfP1119zcnLCcDiiLmqaupGmrmpoK7nG5+fneO8FsDg0XJxfsV6v2W23TEZjBknKO0+f8e7T58xGY+J/hM3zp+Of7jAPCpndbsdmt5O9K4BahElKZ1Q5n+1BKDZ9n5kNXbfl5YuloVQe7STzPEkkbs15x3a74ebmBte0mNCsaqVJ0kSm9Ciy4YDZfEYUx6x3G1abBW0rDEHvnUxYEw2Bah3HMUZ5lMpQ2ksDZyKMThkORhgTPzDYE+pmmqakaYxSYcNGJnlZep+oY4x+JB1cb3ZiJhvWaaW7toAwvQy6dC/aedvItNFbdT959x1rQmRTXitwIb4M8UuIu5+tNVp3YHVgyAUdtHUy0ZQhhEyOXWAsahxdtJbks0sdQmAtdXNw6Ggccm6yVYXmNbipexS+HfXDDm30PSAcGRk0xFoMl2OII81sPOTJ8QGT6R5Ke3wWUxd34DJcq2lri68dQ68YjsaQJJRFLmwKoyWK1orW2HsHKg6s1VBD2VpOvSu2glzEeUVVltjwuXTAbYyHWAuzwKFkgGOldnDeBS2wxxpp9jGRTFldHe5shNfiQI8WuYpToH0YDKkwkCoLWh9ACduyyzesVisMnkGaopFXyiH1TtNYlI54/foVIn1NGA6HeAgSShvke3H4vN2T6GnaRvrvbrIbjHp9B2ogLIaOEay8DY23BSxdoVpVhdSotpZGH5FSGK9Q1oNT4V0P19sLi80WDbZpxYMAhzIaH2gRdbmjqSX60rUu1Dct3ivSZMJoPCWKI+KkS4vQfd8ShTi/NDBJZeJ6L82MIgNKzAoJ/kHKe9AtWrUkOuJusWTYNozHQyLfcnp0yO++/B3Hxz/k6HCfPN+xWNzx7//Dv+fu9pbPfvDDvv/xToznVusVq+WSfCsgpG0de3t73FzfMBqPiOKYzWYne2xesFqtef7iOefn59wtl6w3G0bDlLoqMfGQ+XzKYJDx8uwM56C1ntF4gjGKOsg7vVYkcdLLR0Tm43u/ji6m1DkCG1T1QF9e5NSNXDsZ3LnACriXw0h0Y01kEly1w1cFtiyYzOb84Ps/BOtp2jWXV1c0WUo6GPL82VPm0wl1WWFt20dFu9Yyn844f/WS7W7HD370Gc+fPaNy4juFUxydPOVg/4jRcIwyEaBpmpYiMDa3eU5l4fOvzohiy89/81vibMD/9f/2f+H7P/gRw2yIa8XXoQ7D6d12x9X1NevFij/7sz8jTQUwOTt7xXg0IopM8FKpadsm9NZiml2WFViYz2bEJuLi/IKiyFEYnjx5gkLxySef8sUXXzAYZEHW9Y8ff7TRXy5u7yNftCZLY4aDeTDS8uGlDEZ9D4qeppVNMVIRGLBYomwYKEkumHQEOnVb9XTTtsqhrUiSmPlswtHhPnWQDLig6fLOY50jMrJBRxqMhrapSZKIJJYXLDWKRN3TQUTHJnT7Tsfatq2gtEEf3lHDp9Npb2aVhrgq58RYb5evWK0LkQH4QFcJ1AprO/MdFVBojYoG2HDjmqZz+/ePGvvu/B4a1UkNcm9GqJTqz6XTQnfNfgfEPKSfdoVC27bUPgkN+f21cP3UuXP596hYkH2l5QW0VlDezrBY5AMpXYRZB8J09J3uzzgxLuqiq7IsI8syhsMhy+WS5VKcWVebW5LE9DGO3XNwd3cnJlxVhTIJTXLb/5wsFSf2zhix12NXHlvdG0VqY0LOrer/v9KaKB3L1D00Rh397uEhhY+lacA1QnePophIeWygS3bPPQ+ee6UQxNOCtGYK67e09rHMoAwRiA+NHLM0fTDBkYIsTcUMsShFlzadzoCoj1JrmuZRKsVDJ/+HRyd9eXgYLNEj60geyWW6o6xXYqRndM+86YyEfAeCOItRj/+dcpIRbFtDg8FYQ6vGSGbwvUzCOVkT6uDb4XcWlhZjEiKTYHSKtYq2AUXEcDhhMp4RTRKSLEEnMUli5N0wMjGoSmEBlW0LkWHQtuSLW06O9lBh81BhIpDGEVdX5zR1wdOnJ5RlwW9/+1tenb/B6Ijvfvd7fPTRd1ABDjHGQGNZb8QdfrvbYpH7lyQJHolUyYuct+fn3NzcsFgs+MGH36G5WVE3de8qf3u34G6x4JNPP2J/f5+bqztWq2XwMrGUTUXh6v6ad8Citbb3xejYSB3z5KFxadcAWWuJQgJJBwQ8NO6cTCYBHLAMYsNkmLHbrFCIueCzo30GwwG3qy1vLq4o4xGnL97lxYsXDAaD/pl56Olyc3Ut4MmL57z/4YckiSDjt8sFSimOjo549uwZ2WRAGZymy7KlLGpubhZ88/UrLi9vOT9/S5wkDFLFer1hNMz46KOP2N/bx5a5RHiVO7brFTc3a+rGc3h4yMHBAbPZjMFgwPn5OWVZ8uTJEzabDT5RPUusAyeiKOLZs2eMRiOapuHmesFyuUQpxbNnz/q4vul0ygcffMBisfg9L5Q/Hf+0x+XFRT+Jj+OYyXBEmiY9AOask4I8igM1XYdcdfklPWJo/LxULEp4wOK7U5bgJaasd7ZXMB6OiE2EBqqyxDtpcozS5GVJbVvW6xWtc4xGGQfzOZdXBRovg40kDBd0aDSTGBvo91EUyX6mIpRW3N7eBgBUDFC1Eqf5yXRCZISt1zncO+dC9nJHIfZ9Q9QZxoGibaw45fcyP/BIU2ptQ1l1TAEwKHAmNF8yZX5AOJfrEIkLvUwydW8AqgVLAegHDda2WNvQ2pY8bwLI0NVHBLq+NOpah31adVG2pge8A/QeJvquHzLIrJogwZA1TCsxFAUC7TpICyIT4lg1aWKYz0Zs1rfcXV/RlgVZdsV6s2I+l4ho5RLWq5x8W3L15hLlFelwiDOG5XpFnGZESRKmuJLEICZvYL3ES9d1TReVzAOGhjYxOooZDUcoLVN6rQzKepR1KCfXSXuh3uuuzmulQXTBbNqpHrdCeA1tUDg4LOCUNPkNnkgJTd8gbveb7fr+PgXfgDSKUT37QNAwTYTCy1BGR2TJINw/FcAVR1kKcCpyMPXIO4fA+JD71QE396Dct4cL94fvf1depC/WSlS3t1aGDNbLs0BnwikSCB/Ak1YjA4baYWuPii1RoiGYAXsHtaul0QySCUlCEKZIVcoeDQ5tkvBMSt0YxwnT6RR88OJCMZ8LndoYzSATb4ntdk1VS+NpW4t3llEErWppdkOaomBXrJmGd/Lm5prRMOO9917gbMuXX33Nz//+VwCcPnvGhx99yGAwDNp2mZYXecFms2W1kql+GiLLt9sdp6enlHnBarXg5uaau8UtT5+eslzc0TQ1NzfXFLlIZ9abDfsnh+gkorUNi8WdSEi8oipqUJLmMRyOINKoYCz5kA0qJJAuP0HfrwchUtFphwr1XtQNLXUMiJfQYBDeP+VJYsUw0RjXYmzLs6Njjk+fUBYVeMms3wLPX7xgNp9jUGw3GxTCZHJNg/Kw2+64vbvjxfMXfPz+hxwdHHJ9fcVyu2IwHrO3d8De/iFxksmgtG1J01RAlNWal6/OuLq+5JtvvmQySdkWFcu7kpOnY+b7h0RRTL4rcNaRb7YsVwK8lGWF1orvfve7dPLhm9sbbm5vePHiOUWZ02iNDwOdspSoYq0M4+GQZ0+f8/btOXc3t7I/4ZlMRuztHzCdTohMxKeffspqtaIsC/7Q8Ucb/SwOU1kImpkWhZbs1SgO+asx3oUM1tC4RjrFYFCWsDh50qRb/KreXK7TIAHEGqazCYN4RlWKCV6xWQXXbh/0vPfO9d0C0bTSsBztzfqCszOXi0Pm5UO9eec30OnHgf4BHQwGff56Z+Qky0yL8xVVVVMWBVVd9QyBh0W4LGrdAigbVLVa4qyjDQ6d3mnwcf9z4b747sw9Ol12rwl/oLHvivnu77preX9N79kB3Z9bMwQTC/oYRaiANnbAQd001FUl6KkKyInW0FqUFUOajhKYKivN0oNG/9E0uRXKXKTkfDebDZvNhjiOGY/HbLfbHnS5W16htWe5XPbXstN+FUUhgEamKItO96eoQm2dJEnfoFRljisjXKOCSaIwSqbTKdYprJMM9tjEtLZCOUXbqkBvdL9nStehpR26Js65wS/BO5TTWOuo6/LBZkR/Tx+BHqrCq/pRo98d3XPjPRStAS3gWKSC7lGnlKTkTjbLepPj6qZ/XpJgmNg9vx1wtF4/dsX/Rw9v+xjM7nj4XHXvvckkHlNihDRNI+6zyvteB9dlVT+6hnFnpOdorKVuPUWt8Jj+WdKqMzKSQg8FSZKSJrFo3FrRXUdRSpoarIWmKVitW1QlOsAqH1MXo36K3obrYbRmmKWkwyFZ2xDRMh0OqIsdVb6jrUtcU5IOI5arW/71z36GiRS//eWvuby65F/85V+yd3bBr745Zz47JDIpbZWTJQlRHNM2LWVZUVc1RJrZbMZkMmEyEcO+L75+yZuzM96+fcu//df/HWmassx3vfTBtpbLy7ugfZxzc3PD9c2KyWRKNhgIKBn5vonvmvPuPevMUD0C0HTr4cP3/+GzkcRJv751IFnnidFN5HEN+5MhsRYjw+PjQw5nGRbHzd2SxbbierFlejrl6dOnTCYT7u7u+mfGhBids7MzXr96RaIjJvMZ40FGlqZc31xzcXXJ8fEJH3z4IXEcsym3lHVJkVfkuUzwb26u2e52vH37lrM3b0STFtz1/+zPfswPf/hDAbrynHK3ZrNeUuy2eB+zt3fEkydPGI/HPZC7XC7Jsoznz59LE1c2WCs6/rquGY/HnJyc9J+jM/I0xnByctL7BhCu9Ww2Y7vd9vvHn45/nmN/vtevmb2Rq3OUVdXrFiNtiLXUI0VVI674up/Q91pSJfF0VVXR1A04F9ykw+Q3ikgTAam986yXS3COuiopCzG+S9OM6XxO09YcHOyBcjRNjXeOwz2ZDsdJMAQkUNqdY7m8I02T/hnd7XYUuYAMZdjgtI6Ie68jz2azBh7IHFupt6x7EFmqupbvPp0HArU9MLCcFf2zUveabB/kfApHjAltUueQrTFKMRqOHsnZXGjUje4acWF5SRx9GMp4T1mFNVLJf6O7FtCbJsteEKFVHBrewA4wJgxNeo5dkJq1MmoOoEYXi2ibFlQU/AjoaeICTHtxwHaOuqwo1ncU6wQTOQZJSpFvuLu7xbYt2/UdWZqBMzS14/L8mqaS5JRiXQmrQXmqylLVO0ki0Jo4iiROTEdEsUFhaZtS3PpVJxcBHeJstdJURYkyRiJqMSjnpdn3XX0CrQ8RdFY+v7AFAqWeMFgikN+9w/u2B7hcKxI/61rwTsyF/b1BondiQkjQwXffxzsvYAJaSsIoYjAc0fTSzwAGOBlu6YDyCDuAICsMA6Qg/4Cul+hA6fDkKgi2+fLfAiDQ0fm7Z1lrg1GI50YU460PlAOHDu73Ige5ZxN4F9K39P3QzNoW5xR5WeLwqCDv1CbGaEkkqtsa6x1oRRSm+HgBpmStkbSkfLcV6YQTmVxdGoqd7K/FbgOBzp8Yg0ljkjhC48nvrtmbjhimEVWWUKwqqqakxZK3DZ/96PtcBv+fm+sb/vJf/Utur+549eo1ySBDGUNbyvs+HI2om5aqbGialjiJOdg7RGnN6ckxOM/lxQUX52/YbjekacxkMuT8zWs2qyVNXZMNBvzmty8p25bBaMDt4pZdUXN4tI8PxpFJlIB2OA1oST7RSupWSUAKsphWBDgqLEkSnyhDIY/GO8d0MCPLUqLIiMln7RlkW8bjCSfHJ2gTUdcN01HGwWzEKGsY6CGxFoPusm7YbnMubu+IxmP25jMxR7UyZGwby2a7odjuyLc7vvjiC0bjIZPxM7I0o6grrILzyyveG485efoEpSOcU1hn2W13bDcb7u7uKDclr16/4atvvuL1m7fUjSSsHB0P+Iu/+DHf+973KYuGWGlJWrq+kYQGE/HsyQGz2ZwsS+lMx/PdhiSJODo+YLvd4toWrWEX4lQHgwGDQcZkMsW1lthE4IVtNp/PGQ5HONcyGY9kYKlgNMjYrFd/cO/8o43+9cWb3gk8zVIiE+FtS1VJsdo2Ld4lGD0kjhPSJBFdCxE4KZjKoqKsSoomFy2SEoQyTu4d7AVV9FT5hrzK7zVf3jMZZcSJfO80Fdp8URR4ZIJea09rZdIr0R5OEF1938B3RXJZluR53tP0u2l4N1WHTiPUPi6WaVAmuH0axXAYE0XdubdoLS9zl83Zx2x8a0IfRQprPU1lezCg24w7NHQ4HPbma51j9kOK/sPzekj17/7/t9FRpRSkY1SSoaMYE8doI4WQTwcQxzhKrDVEygVzD5kq60j0RA9pwXGzRXXZp11TFRr9boLonQ+RK/fn1U2BO+bEer0mL1Z4LHd3dz3Q0TXD3c+U3XErmiC5qTRtS76ztM2qn6Rm00OwCVUtuhyAOJEJhrNOnr0oDg27pYsv+vY9AnC+DfcGTKQwGKyr+6bfaY3z5hFQ1TX8XTSSfG6LNhbJF72n7j+cwHaar8YMpQBI5B6Jpk1TYTADKQirokCHf989F13D15lmdk7rDz9TJ1F5dNga/7jPfxRN2P/bBLwR0x7fFxe64/QFHd294WNXdbZOio7IGOJU0gWG8ROcUw+MKV2g9RuZfEURWEtblcKaMHJtZJKdYLShtTYUjgqNxduattZUviXfriiLkrppBAgZDEhHQ2ba8HyYoXzLZrmm3K1pii1OVcTxAO8rJrOMf/j5f2E+jPmX//Kv8Cbi8uKasmgYZFNWqw1tLr4ALb6nqHsEVJhMJiExImK1WnH2+oy8KKjrmmfPnlHXNVeXVwEgalBacXKyx3CYcXd3K7E2032G6cGDpt3T2KZ/Trr17CEtH+/7+/1Qm38vAbpPPnkIKHbyo45ps9vtqIqCtthg3AHz6R57cUaeL8mSmLL1nF1eY3XC02cv6LT4nXykY5hcX1+zWq2YTKdMJxOcVhRNxd7RAVmZMz884PTFM1QSUTsrLrtty2K54PZmQZ7XJPGAz37wGd5p/uY//C15WVA4TZYkFIX8HJUlkuBSCWJ+cHDA3t4J870jMbsM8p/1et0bXBZFQVkURK7qTUYPDg44PDwkjmPW6zV3d3e8ffuW7W7H4eEhg8GAm5sb0jTl2bNnlGX5KBnjT8c/33Hx9hxAip3BQP5SQRonrNdrAcJ9NynUZMNR8GIRQ76msRSF0JuNFsPVNE0ZZBHKQzwZyXO92+Dbll1VsF7cAFDsCrx3DNKE8VgKsSRJaVrL3vyQ3W5DUVTEGrxWxNEAcFjX9hN3OTyTyRjnLLc3N5QhgaNzzO/2na5579hYnXzMhoLahiaqp0nj7qemoYm6T7rxYSp3T4LvBWpe9dcLF5TvgZVoopj5bAZKkRclTd2E9UOmuPKZNFVd0tR1KOQ77b1QddtG3Pa11hitUKYb+2uSZMB4JDIJrSTiq64amrZFKfFsgSiA/F095TBRwjDLkCSCXFiH3omBme/Oy4f7zIPBsGWzybFtzXg8YLleMcxiri7O8c72zaFRijg0d9Z6WgcYRdXmaBNhW9839wJcRLInAnUjUozJ9IDBQKbbZSVmHsJKDCayQOew5FpHU1c4D5HSGCXO9F3jihLzPHGNVjKE6f4I/TPTSQfkftPvD8pblA/a9f79CN83Uj1hwvfUgAfGlQqZYIs9P1ormqaSZy3oOqSe6eSBorsHH2QcgRlCd67d+T4wcvNBQiqIg1DBvepd7r3X8rPwiNCwY0h4UIHVYII/g/c4HLa7lzpESGovnhTh8etYZShNXlZUTYNSEeiYKNbE2VBqYBUh3hEiC9BKAJ3IiAdCdz29E0YMtqYpxQOgrqswjGzwQJamzCYjNB67WzM+nrG+ucLlOb4qUb6ltQ1VtWM6GXF5cYF1lp/+7M+JkwH/+b/8V1AKq+B6cRvM+BSLzYrlakVRykTZhxuqFEynE+q64uzslcQ7YpnPp8F0u0ChcM5Stw0m1cz351RNza7YMN87wPsB3rYCJmmNC8+N1/JLBTPQDmDp1hVnPUYLUGOFP9TLRuTh1aAN6CiYLmrG4xl78zmDdCAglHa4NkcxZv9gzshFtNUOpyIa13Bxc4ND8elnnzHf22OxWoaQdmFxWO9Zb7e8PXvD8fExWZawWCyE6TccMhiPODo95eDoBK8Dm9lLXGDTFLz85mvW6w3j4QF//W//Lcl/GvIPv/41tfM0VY1zmjJv8VaTxCl1WfTDzePjI+bTPcajMcPhIAzfHNvdirvFLWW5669MJxM5PDrAaM1oOOJgf1/YoHc33Fxdg4a9wwN5V8TmhaqpGcZD0sGA36Mlf+v4o43+xZvX941+moUoiUgQ7VbQb0UGPjimBgOZsizx8Mhdu60scRITJWnYhCy2qUNmYdCjtRW+KcXZtW36qb/WD3LVlQ7U6/v4GaMVxXb9qMGy1tG29lER2k3EH+rrh8Nh36h2QEA38eoaJ4/kmOK9YMrOi+ut1iH2StG0TV9wqwcXvZsEqbBoxnHMIB32RbcwFNLeMb8sS5bLZS8zeAgEdMBIT4mCfrLxkOb/KAZOKfz0CB9n/YIKMJ4MAUXdtjTOoKKU2SgR0xGlsOF6dCkLIKYqtrViFuN9T33tJo0d9R7vmKT3GvGuIN5ut7/X/BsT9Z8N7t03O1ZDFEe0dYFSASb0kOiwUPiWtrLYusBGEZPxEdPpmDY8m50eppNN1HVBYauetqy0oOyiu7o/erbC47/FGKHtS0HmSFJxM29aifcBRZzEKNU5BMuzKDpM3ScCSFTefZSi86D0kCh4QGSpyCPyIqesKiminGeoVc9K6e77OMQZ9XGEWjMcDh+defdsPDosoO8nwF3T/ZBW7/GUjcU4RRxroighMorGKXE3thJYLyYt4R3VQo30SKRT6z3eaSIdo03CYCTmUx3LJY7iYMQoP1tZT2wJ/gc+GNoAYau3bUPT1DgHtrW0bUWxrWlCnF+kPY1rKMuc7XZFdd6SNg3LJGIzHXA8NNhyR13sODqdc7O4pN7VrFbXJInmO9/5EO8sv/3iG16/eoNN9/jlzz8n1poPZwIiffXqG66vr6XoqRsG4xHz+Zy9vT1i7Xn58or53pzTkxMa21LVFYubJXeLO0k2aBvapuXo8JCmacl3OcfHxwzSGb/77Rk319cyiYhVz+7o17p+KmH7CX5VyfqZJEmfbNGBZVmWSUrKZEKcZv3z17Ytk8mE+Xzer4N1sabaLXlxesTT4xnt6gofR+RFyWJbcrfOOXjygsl8r0eni6Jgs5HImLu7OyaTCR999BFRFHF9d8OuKEhHQ1rvmB3sMz88YDwec3V3KyyHxS1FvuN3v/sds+m+UNycZjbd53/+n/8XWXuMxsaeODJ8+umnolmONPlux3g0Zjo9Zjoeo1RCFGf9JL+uRSbx61//mul0ytXVFU1Tk9IynU7Z399nPp+L3nuzoW1bRqNRHxFZliXb7ZaXL1/y/vvv95413fv3p+Of97i7vpE1Kc9l7UT1rKZ76uiDRmK1wmvYFTucs0SxIUsTIi1RZFobYuVRKhWtayvmqLausK00rhC8RKqNFO2VmEqpIOEykSYyum9clFF9prc0ihInVzeNTBCdpW2l7umnnIEGrJRiOBygtaYs67D/SsNHKKJVaCzjWIWGSpq2stwF5lonxxNJmpgUijGc1kpkAlqHz+bC95Q4OJmwRwwHQ5IopW3anoGXFwWtc2RZgo4znBNKfjfwcYFqTmBpyVQ+ZjDIwr4QhfemW8NM6Ak8nZZdK02SpGSZxHDJtFjSE3pNvxdz6PF4wnqzxDpLFIk8ASWshPV6hbNSpylU+JkREpoGaCUMRmCT5yhjBNzQWlzsvQ/UbitJTCFWbzieMB5PuLy6lumf6uL3AKUD8G9xTrPZLEmSlOFgwHgyxuiIoiyxbfuAZh/o+UoLQIQKYHorPrqm8+HX+BAx0XnzSz0Znp8wcHIAvvNxEVC+b54D2KQeEP2N8vhOKtixOJHny9gpmpgsS4gTcNTBiC1IVAlssyAH7eqRDmByTliAIuW8Z5oKS+TxkAvuCRrOOQQfcDIx1hprTWiaFWLICFmakGZSd1ZljdcJXjm8FjBDBxAl0gqlLC6YM3pthNGqY4ajGcbEjCcKi8arCJQBlZGkGVojzAcrhp9ZkhBHhkgrTDA4VF7093nwlnKuId9WKK2JY8N6vZK+wFnWznJuLa5pGWqH2t6ynyqSJiduC4bTEdc3C7JBzGJxx2xvyt7+AY1t+cU//D2ff/UlRyen7F5+RRonTEdjjo+PeXP2mm0hkXo2SG2nsxHvvPOUstrx+vVrBqOM5y+eUfx2TZbE3N7e8OrslbSayrPebTk82SPNUt6cv+Hp00OUjvj66zesdwusbvAmUPFD/W1iuZZV06CtmOk56yjLGmdhNI7QkaRPoEFpMVOczfbJkiQAS+YeuLSeYZowTiPqosBVa+4u1+z/5H0GsynNtqVqWvK85O3btyyXK6Z7+zgU5+fnqEgYXavVkm+++YaqKBlmA77zyfcYj0fcXF9ydXVNlCYMJxNmMe2ZcAABAABJREFUkzHD2YQkTmnrAm0MZVFycX7J9eUl0/GYTz75LlE0Z1s0vDm/IjIZWQRtDdPhjD//s79Eu5jb6zu8s0ynYz759BORbSiZxFdVhXUtq9WCxeKO337+K+I4knhh70iiiMODA0myM5GwAq6uxbsrSTBJzHq7xQOL5RLvFJPJhNFkTFPVTCbj3gz1Dx1/tNFXthHErBaEpG4r2o5K6h1tVYGviUyKjmMSE/e0eQUYA9pItNdqt6PagXUykeua4ofGft7WKBsMRYI2TPTdKfiIqpQpjW3bnv5zP+3qkMxg3ocCHT+iOXeL0cPpc5IkfY5yp3Huvq47rIW67pBQAN0DH3jxJGjqGtuKdjvLBgwyYSIkHQ3ZtmG6rHA2etSIA4/09V20mg7Trq4xruv60fl1uv2HoEEcou8eNv531mC10KL7ZIGdRGsYrZiOBxiVkbgc1TVuVYUPVEZb2mDikWPaEkPXYFS9FwA8YFDox9fv/jo+Nnu7R4AfLPjfkgRoo5lkoquXRb2ite19oR32Le8sVZ1TVqKHHwwGqG4j1J44URgfYRtFFOt7PZ1XGPP4XJ27j7bpjqb5faO6zhzH+xZP22twegp1KEq+3RR0TX4nzwDF4eSg959wTpgpsWsAJ74TRjOIEhL9WONeFMWjpq83s/nW9f/2uYsp0eD3mBnfnlJuGx2onqqn2ichyq1j4nivUJj+HKynB8WkQTcondB6jXYhCimOxXTKWrT1uDbou2pHWzmiOMYYhbOWxfKOotjgfCsFjXPEKpZGP7A3TGQox2N5xo2WPFIHKjZEtkH7BqzBVp6mKlCuoSl3lLs13sJ4kjI5GOGxnJ2d8Xd/9585O7vg+N19mhpaV5MnYji43ojz9jrfYoJG7ZNPPmEwGHD56mtQcLB/QDY4I45jLi4uOP/yG8rtltFoBCiKsiDLBGA8ODhgOpvx5Revefv2XN7jJEZri+E+LrOboj80mBSQ6D52s5MgDYfD/p4KsCUT/KZpen1617R2v+bTKX/xg/fZm4jEwdYVrm749W8/5+xqwZMPPuE73/8x2XBEmW/6CfhqtSJJEn7wgx8wm81Ea1ZVeKNpvGNb5qyLHYMsw+PZljlRFHG7WvD1l19wsLfHxx9/zNHhKePxjN22YLlccnd3J7GIStx9T06O+Oijj3oga29/n9kwI8tiiUnVwvZar9d9k77b7VitVtze3jIcDvnRj37I0WzEcDDowd3NZtPLtPI85+bmhs1mQ9M4Li4umEwm/TR/vV7jve8/55+Of77DW3Etb6sGnDQa3ZoE0gTGJg5eGT78nWU8ygBHHGmGQUu7Xhc0ruJut8E6yYi3zmLblrapaWrZZ6x1ODyJkRjPOEqIoiBJamqcFWDbOy8Trm5P9waPEdMqJY7npmPnRdIQi3nVg8/nxXgP6BtVL8QoIGhfO2lYB9p7afTjLCWLunX5PhFFKZE4RVESYlwjjDZh35JmsCN/d54rRVXTOk8UxSTDATjHLE6lxvLSVNrQ6HfeOX0THydBdiC/a6OJjGS6CzCh+s9ljCaKDd47bFvifWBjdvrz4BIP0ggqJdp8gPX6luVqQdNU1E1FHBtcUwemZxuuU0gUkLxAPJ5Ia5SKhJEQABmHgCbiYd6pyJ3UehocDoymaWvyOme6N0UrLSZanXQN0XirMIEvS2FzGRORZAPwwuIywZzZ2hZc0OUjlHAfptMuSDB82MN9Z0ynFJ3yWejtPsgBAu3edfWTsBN099Xh/LQXVp7HB9p8BJF4VpjA9ozjlMgkaD9EYwL4o2hbw3bXYpRnOMjk/Oji+FQv0yuLqjct7qLbYiNsDt0NvR4Mr7rnXnuh2Qv7Ru6L8hJ5lyYJ4+mUhxVNEkfBk6dl6Vd4b/ooSWEOC6ugrQq8a3GBFaCIQEVhz4zxSHNvVIRTBqcUkGCtDLs0migayD1rxQD3dnVHle9QvkX7ELOn5HM0QaKrlOrlhIMsxraK1so03nlLqjyJsqRotG8xOLb5luXilmiriZTi+fPneKX58puX/Nf/9ve03lM2LRZF3Vpm8zktnpvFguVaXPOt8xht+Pjj7xJFEcu7W/COo8N9FjdXjMcjlssF/+2//hd2u5w4kRQjYWcoFusln332KXHkOX97ztXFuTxTOjAsvABiXiPpaG0DZSXvmRapjZf8W/laNEkWE2dxSHhQkjahJdUDLdPwJE7Y2jWRMkREOGIGUcQPv/8e00lEUed4D6ui5uLqirM3b9nb3+fTz35IlCQiD60riTFeLqiqmvffe5ejw2OapqYqSnzomVprcXh0ZNCtp6xL8kp6rPM3b3Ct5fTJMYfzPdJBynJVsFjlbHYFwjCKOTo8Zr6/x2Q0IzYJxkQMBgnT6Rj3gIUJ0LYNq9WSxeKO1WrB3e0NJjIcHu5zcnLC3nTG3v4eaZpKBCvI3uM9eV7w5Vdfs9nt2O52kt6kDP/j//A/UFU1i+sbirwkipNvq2cfHX+00R+kUZh+KyItMRdRJJNJ7z1lIWYrxjicyynLsFnlO6H1e9+7uua1Cg6LvneTHY9HDyaKHuUajGoxwa1bdEwOb8V1tCxLdrtdbz72sOF5pAECvBYjwG4Kbozpp+QP6fBFoNdaa/vJevf9u0OpKcacBt1YoEdXgS4bmYC6tyRxgomiPoFAa31viNc0NNS0rsX6pqfeA/25dE3aaDTqAYmHjdi9pvtektAxAb7dpD1s9LJINg/lanzdYoEYx3A8Io4idnlOuV0RedGcNk1DVZbUdUNn8tMxI9IkeyC5kOl7p23sziPS6vfM2b5NCf9DRxtMg9I0ZTqdMp3OODx4xu3tjVD8EWffblHvv79ylOWOqqoCxb5hGwoZMeCJAnKdoZTD+4bWWqxt8dXjJph+InN/dKYyD4++4HJiEoT3ooUL7A1tCD/79xv9zlCxlzSsrh/JMgQxN8ShWUuiBKUsTXMv2+gAoEen/gcoPN/+Oqcc7YNkho4p8m0DSOsGRIHVk2WZxF8+8IKQX4o25Jd3XhESbxUKzQBqkAVJQhQTJTFaG5qmprWWcldircW0iqGLaFtHVRdst0vKakfT5jRNiafFGJgP9qVgtA0ocK1ht1kRzecMshGRBhoPzhJpqWck4KHF1QWJUVT5ljLfimtuFrG/N+P67Rt+/etfcn5xwXg0oapa1lcLnp0eMRhEVLU0yav1ik2+E3Mm53jx4gWLxYKiKJnNZhSu5e7ujqqsuLm+7qNE75Z35PkugIwZz549w0SG87dvqauaw8MDiS4yEbatKZriAfvlXiJzz4K5n6Z071+XMtI094V4UeTo5t4fomPMdGtN27aMBwPefXZCrBz5dsXm+pLbqwvuFiv2Do85PHmCTgZstjmruxvW6zVRFPHee++xv7/fA1iLxYK7uzviLEWXBbuiYL3bEmcZSRyzWK24uroSycNsxsnJCePxlMgIA8eYiDdvzsjznUz0tcZOB2Ftlp8xHg2YjQaMswRFy26zoa5L8rzur9dqtWKxWLBerzk5OeGDDz7gyekTppkAHtvt9veST87Pz3n79i1KxVhrWS6XHB8fMwz3uaqEjpkkSQ+8/un45zmMDxFWiG7WmFDch8k1PsiPwr6alzs8Apx6HDaw7oSmLI2z5KRr2h6c9f2epzppF56yrjGqxmcWbw21laxn51q0C8Z23uNdoB2HhgJt8EaRoPskHnEvD/ItHZoxf6+XB4llihOhB3sfqPXoIGET4LcD1L3yoCw+SMSsFRB2FIYFKuR8dxNYpTR5vgvsO9UP1sVAS4wOFYq6bsP319IYe49tW9kzCc1kl9em7gcqWseiue8A/94hP0yi+1AwcZZX2tL4Fm2kgXO2JS9z6rYKDYjc27KqxHDKe7BODM6cJY4i8rxFo8PAxwXDRDFo7Zrj0Bf3h+8ioL000N6JeZ2m004EJEUHSUOaMJ5M2dvbY7UU80VlgymtvWdngCeJBdhoW8vdzQ0ggIs02D5IGSKUCokDAfNxWpwIGu9EDx+uWm9SiDBKtA+T/dCkCaVXWlmFl+G8t71tg1agosDwhPvnRqveX0cpiI0CWvLiClDUVd27eSukiR4E1kkHPnnv2G4lZUfeL9//DJDkILrmntDQ9yABoYbyveQDZDijlLznWof3QwkMI3td3BtDj0Yz8JrWusBeuU95WC4cuATthL1ioogojomjGOtivDYYFaN01A//nCtZb0ucbYjjhEGW4axlt1rimgJchW9bvKsgDCYJvg2daTgofCtRhclkTJwmYQDp0TZmqloOZiPStqQthfVTFYX0KN7w9MkTJqMxv/vqK373uy9YbtbEaYb1UJcVcRSRDIdsdjuW6w2L1ZoiSERGgwGffPJ9vJKGcf9gn2K34+35G+7u7vjlL37JfLZHVTUsFwuJ/FWG+d6cFy/eJUtSvvnqtyxu73h6dMIgThhGKWsvcb6+6twy4B7oi4OnSNKvB9YhiWppgokNkYppmtBPNJLCIFLmhrIo2JtNSZMIZyuqcsPxwR4//PQHjFJPU+ZUu5JvXp1xc3fL4clTPvzwQyyKzXaLimOubq5pmobjo1NOT08xRtPUDav1hmKXo01MnKS01lE3ba8+3eQFbVNRlSUHe/tMJxPmszneWZoW6qplsdiw2RZESUY2HJEmMZPJjOFgSJZmpFnEdDokimCzKYkUaOVDvSjM3Nu7W3b5jtvFHU+fPeHDjz/icP+AYZqQpRneelrX4q2jKkpWmy13tyvOXr/Ga03rLOvthk++/xmtteTbHU0VntHBgPXqD3tz/dFGP9+s+wKyiwwzkdARegq2r7Gu7E2m2kbcCnWvr+5kP3sYnYQXJwkbUoiNCk2RMYZEicNoF0/mvacu8mCyZtFAW5U9YtI1JHGYrHVRM05FtCoJC7rvm/2HU++Hpj7d33eb1cPDWmhqMCYijkWfI9NaI/ESWuO8oyjKYJBjaUNu7nZ37+DrrDjap6l+1Cg1zWPa/0Ok86H2/p4e9aCpfhDv131OuJcdaK0pbAHaPJoi102NzVtqa1ncLcg3Cya6pHPhr4OcwnZTjQA2WKVolelBic434eF5aTzaVo+u4bcnyn/oGI1GvTN9Xdds1juKtSLPC2zrSZIhSiHREw/vkfPo2BPFBusaqrp4xNCQZ9jgoqZ/rv4xl3kgyE0egz2+G588ei6+5TSveZRSIb+i35uSd3/uGBF1VWLzVU9r677GGJm8OG0gjml8StU+nvBKYXWvv+5M+b597t9u9L1vaW396DnsZDZai/upNoZJtt9TK+ta0SiFMQneC23fh0lqmiZEpkVrKQw6TWnXeGZZxrK+ocxLnMsxkTyPSZxQPEi9iK2hrUOUE02QImRUtcVTg9KkaQy2xTUSCQXgtaJxDtfWbFexFA9ao+KIrGlQaUKkxR+kRcxLttUC19T85C9+ymw+5uzNKz7/h5+zXK549uw5F4uWm23Fzilm4xEvd3dUTc16vcZZ8fVo2pZJaJh3ux2HhweA5ze//gW/+/xzjp+c8v77H+B2JV8utlxd3VJXInE5PDxkNBpycXGB93B4eEiWuN5AtPXN7zGN0jTtN9coivBKY7Xu379+zQyAS3eUdYEybc8EMMYwmUzIsgznHGma8vTpAXvTCfn6lsXlG27fvsLWFT/56U+Zn77L2sbkdUu9XeCbhvl8zuHhIUdHRxhjODs7Y7lcioSnbdib7lN1KQO1xI3VbcOuyFlv1pw+OeWjd95lOhzSNo7Vao1tPet1zi9/9SuKomQymeAVFGlE2wiQJCDghEgRZBAVbdNgvTBZttstFxcXXF5eUlUVR0dH/OVf/iU/+tGPsG1LFN2zoTrZkXOO29tbvvzyS87OznjvvQ9plePp06cMBgN2ux3j8Zg0TfsG//j4+PfWjj8d/4RHAPXLooCyREeiq0RJDnNjG3x7bwpsxXccGzxlQLxauqZXK4kNC6o8aU60QqvABCRkmgewUgFNkKfVtsEq8ErMuZTSuKqhqVuMjplMp6AinFGhQZH1UmlFkkSYKO5rFaU1nVZeE1g52ZDBIDTqyojpVciN974DaMNlUY7hKCPJIrzyfTO0XCyE/RgafaBPiqiqumefacKwIWjDi0JYk510QakwyvPSRHnfXcugzyZMzpUwELVC2FgBcJP2vgM3Oo26wTtFU4tZrXctzjpcU5HnW1bbWyx579EmWuca2wYQxofGV2u8gjjWaCK6BKQeFFE6DLSFSSA3WhoRKU41qo8VCo1zkH4oBdrroOnW1K3jdrEU3X7bEsUCMjau6e4cnTFeU4kpY9PdIy9GjsJgDNcbLd/fi/FdKzYJALTKixs3EOmISItWXHV69/B9RfIs+mctHxuj5Dn2Vj6vDn/WWpIJJG7S47W4oBP8d2xVsNxJ/Kl1rdQegbWBj8DLNLOuyhBbKB4FwlgVk7ROVvsQVHroDeChl0X2dYy7B9f6Rh95hlTAkfr72hlrOo+18tk60AHfSVlAB5bmdLovDaUDvCIOzBajNU45PI6mdfimwgbwwXqL0eI14J0VN/U2sIi8QhNJ59S2tLaLzbZhHen8ITRt2wRmWC3mjMqgFES+IdYNxU4GYnVVYSJPhHhV/Mu/+pecHB9ye3vHf/tv/42XZ+ecHJ/y5vIaX5Q01hJHhpevXlHkOVVTUzaNMBC0Ic0GjCcT2tayt7dPFBm+/vLLnp32ox/9mKZtub4W5lpZVLR1y/HRMbax/PrXv6Et1vzZZz/k7fkGW1maylHblsq2wcxQflZkTOjXRLZh5OUHFfdAqsTUWbQRtrLzHmdtYJsE7yE8k9GINI3IBlqo8ZOMJi/ZFDW2XPP65Rdsdlt+9KMfcXB0RFXWktaE4/Ligv2DA168eM7BwSFN04RaRCS1URQTR5o4ScTnqW7o0gTKouTrr77gow8/5Pj4lCSJwrMvQyytI371y99wfnGFSaSpdm3Ts6+zLCNJDSYyVHWB8xbroa1bVqsVq+VKWKBFwd1iwenpU372s5/x7PlzkYMo8KHH6phqxhia/x97f/pkWXKeeWI/dz/bXWPLiMjItTZUoUAAJJu0ZjebY9ZtGrP+IJNGZmP6czUjk0bSTLO7CRBAoQq15Z4Z+93P6u768LqfeyMLrJHJmvyEYxZVucWNe8/i/r7P+yxNw+vXr8FLxN7rd2/49Cc/YTQc0tQNR0f7tJsGV1foJGG6t/dPbp0/2ujLliEUDILm3ZU1TSsNghSaDa0tg5YIdJpInIULxiNGAIIkKUgSmeJJ0y3096htk0XIiyHcTrNblRVNV1M2MumNcU6xIU8TMfMqikL0wWGC6lSC1UJTTwJQIU34dkGJ5i6RQlc1NW3bMSiKoA0jDGdTtBrgMXhvsF70WG1nqZuYkd4FTd1W9+Y9tF2gxynRq3ha6rbEuxhp4nogJU4j1O4iGJY9pZS4s/ZaQA1K03bymWIee2zmo6me1oq9XDZA27U0KzHsaNuG9XrNZiPGholyLJq5OPMroS0RUGOjPamRc2uThM7L5p4GBoTrm+CInDtMmABsJySqn6L4gOpLxnHYndS2AEsS0YOnaUZiUtYLKbJ1kBxUVRUKtp17tbOQOFKtaVE0Vd37JygUynm866ireb9RdF2L8h4TgAqlIj0uJErosAmHRnnXKV4Kx7a/1vG9x2l4zBVWhCIuoNx4j+862gA0lGVJW9ccDgKFMU7qPTLJtJYWT2cSrBnSmcHWp0JrnO/wVsm59D5oI3fpnT5IAuLC2l8loVqprX1J2zk8Vl5LOwyaynZok5ClmXhsmARjdFisI0ig8c5AYsh1iktdDywYbcjyTGQs5DjvAqNH5BBdJ54cxiQMhznjJKdoHOv1kqZxoCFJE7TKwIsrc1FkmCbFxklMaHxRotvfRPOjxECbol2HNR7lczKj8HlKXiTMK40zKR88fsRqfstv//HXGK/487/6a757ccE/fP0bGrOPGU/Y1CWHo4Smquisp7VC47dtw3g8YjDI2ZuOmeYZ5+dv+f6bb1jc3PDnP/85D09P+dX/+p+4vrqkaRvW1Yama3nw8KFETbaWTz/9jPWq48svv2axqdlYh1U7PiHhWkb2TGQdKZOIrDBSXJ2nrpt+wmmMPAMmyfDaCJrdNFSbNXvjIdo1KODk5JiPHp5ye/mSizcvUG3F8ekJB3t73Dt7wM1mw7zyZF7jmprjg33u379PnuehmJGNryxLyrLk8OAw0BYL1quVsF3ajtlyCd7z2WefcXR4SAJUmw3GZCgvrs3Pnr3i66+/Y7neUOSFFKk49vcm7O9NGRaFgK1NzaYu6ZoKnGM2v+Xyes67d5I3e3JyzGx2y+eff8bjxw9wvsX5jrISaq+1LXVd8e7dOa9evcJax3K55vDwHnv7h7w7v+DpB08xSkiwWBccmEEnhodPHv/Y9vmn47/xEenmdQDKfGi0vZIJk/NOYn21EXCoXKNDDJzSoQ3zuqf29k220egwNSb8mTGaIs0YBCBVJpSwWC7pvAWEOox3GOUxCsaTQ5K0wKMFDFUJGPl5Waop0iRMX8XNW/aU+IwHpl4oF7rWslqtQ8NpQsOk+wZK8A3dF8qbsmRTi8zAh+ZvvVwGgz6CXp1tYa301pMlFO2i/9ekcfraewgI3dj3dY0HhUTOGhP2qxAPbC1OQXTTj34J21gWYQI41eGdCntUy2a1xHlL17SslkvqdoEZtJIAhAEv1182UTHN0jp4AagAqIeIujgoco4QwSZ9scMRFXmRcg7h/HqNxwa6caCiK5ksg6yjymhcZ3n7+g37945IkwyL1DYq1hle9Xu+Cw1MP+TwwRSOAJhYT7cR6YfD3mn0fSrgvjEpJgGNkX2d8Lal+yVO0qR0kfplW8sEeUKQlGgT4oDDaXRWTHalC3Y0zYZqsyZgSoIcqC78DBl+OQttIxNrafR1X78qs62h4uF7c8TtcafJ/5EBkNQwVrLnQ9UoHkk7fx8aD7kvI8MgYAIYBkWO2n4gjIo+VrAuN3g8TVPTdLVo941BJQYdADAVnh1tApAQpSBe45QYNYtcI/gS4cI6ta1311WFqmXIZxSkviE3DdVAMR0VjIYFuYZusybPM05PT/nH3/yGV6/fkiQJ//E//kd+/cVXzL/+nmxg0SYJHjISr9e2XehrtsaIOqwbk8mE66tL/vD1H3jz5g1/97d/y/HJMb/5zW+4nc1oW0tV1azXG6aTKVfXV4zyhE9/+jOqdc3VxTXz5ZrlpgqR4m57gn0wSoxsJOR6GLb3oSdIdpXHI9LmWDPLk6JQwTtCKUuiPU254mg65tOPnjCfn9OsbykS+PjDDxlPJ1Rtw83NLVlWYJ1nOBnz85//nDzEpi8Wi75/BEI8u8MkKXlR4Kuql/dEb6O/+dd/w717R1Trjaw10dDYa77+9ju+/OqrfkAXFEhkWc5gOAg1P5JCFc+DtSwXK66vr7m9uWW9WZEmCXt7+4xGQz7++BOmoylpYmgq8ZCR5CPP5eUV3wW6/sXVJYPhiCRNefTwEaPxhM46ijzHWYsxmrppIbfcP7v/Tz5LP9roV07MUYzRISavlYcmHaLDJlu7jFoN+gmT1hoTdOC7WeWLeQ2doD5aS3Ouwr/TYZKutd7ZaOX3XVkynrZMdpr/XTpwdJqOFyE2OIBEWgTatLWWxWbRUy/jAiN65rjYJJAmbCz9Bmx0bNw6WtewabYa8vcPl0aK7Ra8SH3ST1Tl/wldd1dDH2nTOujdu67rC/lt4+dxQePUeY/vpFDtui5M1gvyYRpADjlPFlkEB/Uc11TUVdVPyiO9cRDfu4Imz+hngDtT6V1pgDZTUp33f4ZSuOgAHr/Ve5Qzvbt614khGwTndwUYMInvN1KIJu4eNH3sV55lLK9uMZmghVmhsV5MjnaPQieoTiQUhQvgVOsD6CxpCcp7TL1mdzLvncd1Vbh/xSSoKnMaL9NTpRQumPtladabPzVNTZq+//hszQ6tFZQ7cR2qE92csDPEyNF7eV+5UuRpRt04KZacwjopkDKTopP4ymCylDSPkJqY/fU07oCsyjWTPGHXtnRd2997/RRLazwZXg0F0HAO2zQ0bUvnJFGgsxrlPMZYNB6cw7Ut1hlSU+CdxXVbg8s02d7nscmPv29qR1U6OqUZZAX7o71eJxpp0z7k2tIsUPaawrRkhe9ZRNYoCpXLYtgGoyWjJRHBWmwo8sVQSYpCpzQqyaHpqFczuqwlPRgyOdhj6TrerDzV8AFZU/Pm97+lMCmf/uJfsbIJ//DyN5xbSzpwZGlJphWvlw113bKsG0qBqwVI2x+RpY7xSHP75h0v//A17mbOw3zMJ3v3aN5ecv38JYvlnKv5Fd1AM7tdc3x2ymgw4slHn7BeN1ycL/nN1695U8J6eo9q8eaHnhVhnYsSF2O8gDNehWcN0iQnz4ak6YA8G5CmGXWmaXwHtiFNapyx7KcdBywxruXn9044SWfMnv8OX9fcu/+A0weP8TrhuqpYlCWbsmE8zbn/+D6nJyc9iyj6dDRNw83NTR9lqsqWkUqpTY5dVeiJPJv7+2KCNxgMUO2Gal3TbDyuTrm92vD9d7fczCydTlGjlLOHxwyGGT//s5/z9P49tG2gSqGz0CjcxrNZl7x5e05lLUdH9zi6t0/TbLi+fcvjx2fotMQyx2tLtalZLlcoDF3r2WzWKAynJ2dcnC+Y3c6YbUoOHp0xKYZkref+eF/2DdWyTBJsaih/dPf80/HPcniZTiojLDobKfPInzugC41Flg/wOIZDybNWSmF2prUgwJh1Dp0p8qIQvbJJRHIVouWMktrGKfBpStaJd1GqUxSQoDAK8izDpBlOaRwaF/01vMiY5Gs7pRRvCJmwR1+VyFDUOiHJEohAcWiUI1gcNeteeQE8bMgU14TCG7KswIehSmqknmja6AAvjal1dielJf78hGxQYJ2lbYLRbHzdAIYYo0TfG4Y6kkMeGiDfBYnfXXd10fdbnG+FUdZ12LbFdSKvcM6Cc+R5Sjo4xGFB2/79WreNT1NhmpiEYUY8b6qfMssFdl4F5oNo9qUZC58jSMsk8jj+jUybnSBDgPi/pEVBkuUo7xlOpj3gEBPejJLpvAqghLVBOe98SIIIk3V88ELo8M6Sasm9t96RtHItGwOu8xjnSYzGhJ4aH4kfwchQAQHA0ZEJGEH8+OYjmV/pEIkn1PKus3RNjfdiYij1RIdRW+f+vkzy9H8POvjSJMF8OwAIEWRA9e8lgktxZNW/3Pu1syJM46PfQfz7AMyEGscovTMAEzmFIYB9Xm5/8QeOTajoyCO45H1MMnAhRVqTpAnD8ZCxGcqAC4dSNjBIo4RSnqEkU6Qmx6gMrR3O5mzW62AmZ7HeBm217Ws5AZKC0Z82GDoS50kTMZFMEkWeZCTO8ertG7R2LJdzNuWaLE35/Oe/oHaely9filF4Lj43Td0x9ytSY3j15i2Jjhn0Q6bTKaNhQWoMZVny69/8I9fXt2RZzunZGd8/e8az5y9YrUsWyzXL9YaucyK/M4Z7R8d0dcfVxTX/t//p/85yXYFJ0cpgXd17XoAPKRpenhtpmvBhsi+9jaezDqW8eEYoQ6oC88hHwNIjEhZLolr2ioQPH56Qq5qWEm837B8eMxkPhNqPZ75Yk2dDlDac3r9PPsiRyMua+XwuPhXOs1wsub68Ym9/D20M946OuJnNRK5cVaw2YoQ8Ho/BSfNertfUVYU2cH414/Xr11xcnotXS5ry4YdP0Sg+/vhjPvzwAzyerrNYV+O9SMzruub5989RKCbTCR9+9BRrLd9++zWTyQmjYkBblTReJGXlas1iNqfIh7x5846mtTx++hGbqqaqa7qu4+TkBOcd2qQMiyG5TmmUIctyktGQ9P49/qnjR0uVYjAkzVKyNOsd9U0iroDRNXZsNKYQN/40lf+3bdfTtuICfHgg0/tdI7n388t3dcvx+yaTyZ0JPNDT8CNNuTfz2/k3kb4aHaqbppGYGreNnPpj5mPxe3vJgro7qd2NR3v/eyNddrPZ9LTw9zfw2NRHRkKSJHe0zZGqH+nX8b1E47VdtkNkOKRpSp7n5Hnev378staCraGTRq7pOrrAiNg9jNYMiru3Q5QzRFReKQXJEOtNr9mPQMOd82cd3XrTTxAUYNIsoHm757kJpLPtoUNB0VnHcrVmoytc26KqGq0lOs46J1qP3dcSiFAACoUg9F4QZRuaUu9BmcHd7wvO81prfAB1knyICd4H7x/xuro4fdk5pIm/a9DVdBbV7bAbnAvUtqC7C8yE9Wrd3ydJKvdMNOOJR0+J3znElV73xYwACvIexNMhIPHOBcaA22GO2N5LItKQgJ1UB4VzzZY9E+QuMdUiglARFNv129jVh8ciO0k0qu2omw1tK4acTfh3MRpK2w1JdyvvL7wnMVYUExWFZPp2TvUTOB2Ki5gO4eMmrzRWG3LVYeoqxH2WpOkQ5x2Xl5dkh4e8u7gi8y1/82//LaVN+PrrZ1RlSdfU6Kam9EtcWbIqxTG/7cQHIssN4Pj888+5d3TEZlNydXPDYrXm/oNHvH57zng85be//YIXL18zXyxZLFes6obpdMSDB2fcOz5mvljw7dfPqJ0kLkTUe1cCsgtm3r2BwxoRAB6jo+u2o9erekkvGBYDmYLbCp+IFtY5R5FolvMZiSsxSnN2dsbh8QlKwaYsaZ3ixYuXjKZ73L9/n4PpFKUkXSX6h5RlyfPnz7m8vOTo6KgHfoui6NNMPvzwQx48eNCDs5vNhm49Z7VYsFxarm4aXrwS0zwP7O3t8bOff8rJ/UNO7x/x008/YzAcUm9KtIPVfIFrOqqQeWu04eMPPmB/fw/o+OoPX1CVJXlRMByOaJqa+WxGty65vrrBWdibiiHOpz/5nDQt+P67F3z7zbdMTw8ZDAq6pkN10gyasN94LxngvPcs/un4Zz687EnjIkcnidCdQ6MP3NlnjdYMiwHsMASVIjT6gUmmJHFFGSNGaEjUVOeiQ7nCoEhCo4/RJKMh4yDRSpUJjZZMpmzbiE5YaawS329lhc1lkSazc5a2qum65gdyKoj7fWC4+TgJ3zb68kFB7bRP3hOcraX7ixKy5XIlFPzQiMTDGMOgGPbJBTo0tRGYjQB9bNRRSlgEToAUAffk3xBYAFrrYPZbBDAjsg9l2uWky8L7jsXylq5rSIwi0fIZlRdoBBVM7VDhe7MeXEhTcUuXa7mdkktTJzINH9dDH6bO21RDGSJ5j6zamt6kThH+RIOL8cyG4H+H84qyatBNqP20RwcEXoiPAswoCP4M2wsVh+/gBFgI5w8LeI3VGbJvC+XbKnBa7h+l5N4kTpW1nBPPTl2guLsORcZeP9n2NJ3D1iKn6qzU7cp7ijSXSF9iHHS4z7zUUNufo/sXF0md5CBsh1XhXIVnMNasQKiT3p/o74AI8fdE5kc8V+FaWgcqxFEbg/Ya7/QWCvAeHeIERdYRJuk9uOP6/akN4HiSJKQ6BcRYslpJhr33jtniFmUs+ACa6BKl12gUiTKkWuLDdbi/U53R2BZCIoR1Fhv243wwkKGmSfFK8uK1a0g6h1Y1RsmeksRhCx7lPKvVmtVqwV/+1V+TFUNePXveX8uudShtsW3LatGR9M+8Fi8B5/mrv/orjg7vcX5xzmx2S9dZDo+OWMzmTCYTXr1+w4uXL5nNF5R1zWaz4eBgj48//Ignj59QLhesFjMWN0vunz4A806WouATIbFw20so13orPyLc8yoyS63EGirlgy+F7lc1by3OdiRGoZVF06GR81OVLXW15PjeAXvTcYhMd+AVZVmzKc/5i3/1lz+o070X0+LXr15zdXnFBx98ELyIxMNjuVqyXC7Z29/nwYMHDEfDEOcuZryz2xnr1ZL1Zs351Q3FYMjBwQFN1/LLX/ycvb0pw2LA3/zNv2Y0GmG7mqapKasVzres16veD+7pk6c8ePiAxWLGi5cvefv2LU+f/GucddzezACHbTs26xXVZkNVVvzsZz8jzUe0zvPts2e8/PZ7Pv/8M45Pjnn37lx2Ax84KsoEuprBqj9SH4bjRxv9+2ePkIz4NLi1C7WyR1C1ZtNUbJr6jn69yOMGJA+0PMYpuzT9uCDECxP16DHSLf55vIi7sWxxIdmNdNs2FduGPGpPoya/KIr++3annO8fcVq2+153DZt2v3/3yLKs/9r9TLs0kl2H9PV63W+su59t93V3WQzv67djE7QbvRUBg+00vaMtNyjXSnGSD8gKca3ebSO9Uvjk7rkwga4v11Au5KYssW5LJY7n+s7hPNqk/TQ2Mdt87zuHTtDcPYcqNOzeeepWXE4zNFUrWZ7Ohe9777rFKQYmLNBKSZSNkyLAKaEemtHBD96rwkszMBiSFzl7B0ekWUEZzFF2gZg+xolgALzz9p3z2O7u50kwmCRExEXQI0lEv9e2NE2HdRaT5mi1ZU8I7em9RsJovLn7uVWg8DkvcXbe++20N5x7gLZp+2dIroNMRHYTJrTW/WeMxo/irCyLu3MtTSO56dF4bRcccH1j6RgOs97pPT6TBwMpsZqmYbOxbPCsWzFUiveqcw2Ns31T3zrY1G0P0OV5zkAnWJRsPFqo6yioOwEuimCQYrWm9Z5hlTBYtkDLaDxmvV4yb2uqquLqzVv+wcz4v/6f/49s6o6L21ueP3/B40cPuZitqL1FY8mStDcTVYTo0NxwdHTChx9+yGq14uLynCLN+fCTz/if/+f/CXTCs5evKauK+WpD1TrKumNd1hQH+5ycnHB9cUmzWfPgwQM6NeR3310Q/S+MMbiwBsXr8/4R7xGtxHQyMakUFzohRpAaYySXtoO6XFOtl+RGDFZ9V5NkGeVqybSA6WjYG+stVmssmpvZgqurKz77s58znU5ZrVZswjO3WCxYLBbMZjMWiwVFUXBwcBDSBbZr+C47KK7bZVnSrhbM5zOqUjOdHvHzn5+xLlv+8Yvfkg4U909PGU0LDg8Pex+EtqqpV2tuLq9pq4rMJBzs77N/csJof5/FYs5yebv1BrCWxWLBZrNkPp+xvLxhb2+Po6MT7t07ZTzaA2+4vp5RliX379/n4cOHkGhcU4X1S7ScZSl56kVIVfnT8S93PP7gqdCjdZgcRffmbaD4nabWd5asyKRnDvWIuJVvqaNeWhYxKjMG653kXgegU+LW6CPq2s5CcNHHSOb3er2RQr8TALR2ntY5vNJiRhXYTt4LXTRLEtJ8GCKJIXS2gIDHcfrYN/mxfoimdmGy7rwLAIVorJ1zQh1GaPdpnsvU3UlxHGUBSikSk4Iy+KAvj15BzjqaAGb3sgelqEqRGyqtAs0WYUDgCXYtKFRIxBBTQnmrATywrRj5uY6ua7E2sNp0IhGiRpieqUnDexNQoe06OutDLro0Nf3+6L0wy5wPE/zdiiYCJQSjtECrD5N8aYhdD9Yr48EJNVkF0EQrhQuXwCANfd/Ye2nKQPTJKGEWKPGGlOmyFyldnKh7usDFkzxy64X6roLXitcGlQSzxcRwcLgf4qPTvg5ug7Y4ekG1tTSp0fcg3tUgIET88k6TmOA9pMXVPQRHowMo4q2RxguF1ykSIBdlldJwy5MkUgmlxbE+DgGlPnPh3t3W8CqiDrtMynje+7pW9bVffGc+MEA8sYb2/f+7jWVlN6HhNkEWHHyVvMQsRu8AvBVWTyLShQiY7B/sYRItOurFHOdbxnaIo6as1jRtjfc1iiqcSCsNv09RKsPojCzJ0GlkkyBgRAAinJP1KM8H6DQj8QrdJRgaTOeZX1/zYDykyAourq85f/cOcHzx5Vf83d/9O5Is4+r6htev3vDJx58wW5YsVsFULnghKEUA18ArzeHhAT/9/KesNiuubq9ZLRYcHNzj26+/o+08b95eUpcVt7MlZSWeF03jaDt48uRD1quScrVhWozZe3zEr/7wWoATQQ9RTuQyJoCmkaGkVWzmBbDxQSoRPSsSY6QejUNSL49h11noGvJEkSqPUZ2suXRkpmAwGXP/3jGJEn+UxWrNq7dXvHp7zr//P/yHMCgN9y+OalNRrktm13OW8yVHh0cMByOKfADKs1quSJMM5+Bw/4hhMUQ5Rdt0IhmqKpGUWg8q4ZNPPuP8ouXo6IjRZMz9Bw+YjEd88MFTRpMhTV3hXEtZl9zeXjObXbM3nbA/nfLg7CHDwVCYsp3j/OKSzjrKquL69kZSZGzH1cUFWWI4Oz1lPByTZNJvN2XN5eUV0+mUg8NDFosFWZqSmUzqUa9kv2laMqPpfsQc+Ecb/b2jY5m6e08S9blhsddhcmTyAYWz9LSunQfcWhc0NkLteG9Aecet/f1C8P2v2Ai8n2McC8nxeNxP92MzHd3NYwTdbkMdm+o4sd4uQNsJr94psv9/0RTFifuuMdruhH0XkBBdf9s3jruLXmyyds9LnJhu47K2zu2xgavruqeNxM+hlAqUs6RfZz2iQdn9JILL30XGrFWB6rQ9Z5U1OO6+L/XehVVaYXRxhyqOd2j9PrL7w4m+UqqPLKNp6WjROunN3ZQJ0+73zr1sCMJMkFxchfUKpT1JqkgBdIKbnLJbEES9s7h55yRpQm0t69msZ2bEzxfPbw8qvff0eK+3m018/X6qoftnJhYpJvNkYWOMG5i8juytP0Aq1VbDt71G4drYGC/pUcrgvcZZRReeSe/F0EmnKVkWrrZJ++lqfDYioJFlosk3SbznO9Fo4dFGNPweMWxKkoRix9TMBx1+GwwTfdjkN+8WFJkYOGZakxWG0+k9mrYNkpKaxnaU3SAsuC3O+15C0XYtVetoXU2WjOR8Bj0mCKMGC6p1eNWh0hSTxkbXsq7WVNWA+XzOBsdqvaZOUrLhKclgzJvzK755/pJ35+csypb1Ysb08IR8mDMaDEkHQ25vb9hsLChZaz7//HMODg64vLoiSRKOj8548/I1L1+/pWkti3VJURRYNGXdsiprZosNym7XrsPDQ6bTI7789g2vXr2iqsRd2u6sQ/Fe/WPrjw83TD+tSHOSpCBLC/KsIE1z1m5DU61Zzq5pNytO7x8xzBNcW2NIUL7jcG/Co6MheVFwu1ix2azRacHNzQ1PnjzhyeMnVJXIXBazGXVd8+LFC25vbxkMBjx58oTpdNqveUop1us1k8mE6XRKmqb9OrVarVgul9SLa2zbMZ6ccHT8gCTd4zdffEWeZ0ymQ8aTMXt7I0ajUTAprDAobmczuq5lPJ5w7+CAo4NDViGVJQKzV1dXIWoNzs/fsd4sSZOUyWTCgwcP2ZsekKYiQ6qrlrdv33J+fs5wOBIKX1eRJSmjbABIlvhytcQXGePRqAcz/nT8yxz5oABklfQKibMLpmCyzHmSoujB6bZpWSwW5Fnam0BJhBf03GcvjVvbhUhZkEY+TOxUMHNzPqSueCuMptZS2rrXwIeBLaiEJBFGgcLjwpRLXPKL0JAF1pnYA/SU9rgvvV8nyfuMDX90KJcJsPcueBSE3SNMy9ieqe3nkFOEc55NLZpbZ21olnfqM7+dzMpQBfIsD7UN/R6mwqTfaPFeMoHGK29DpHJlVVJWm+0nUTAaDvBKGuRMJ3gX0xIimyCkH4SW1SvTb9k2mIHFejPmpav+mu5cW2IDKaaLu6wIA6BiZrtMnX2g3cvEzGF1uEYRZwmeAgK0KDoXaiAlQIqX0y/vINxnsjSHewEPypGkGpVkKFXg3RStU7zWuEQafZGzanQmgId1DtuJqWRVVvhgkGxtG3TBMtl2+NCIyf1io1ZcKZTxO/IGaXZFG61RiPu/wZEohVcZnikSJaaCF0YHqkI0+7qXRAQrJ4mzDuf+LrPW9ddoew+onXt82+TL/aVA+b5+7f8+sFp6eaD1WCvJAVp7YihSPNcKjzFajC811E1DFe7DeK+syjlRslkUKUpJRJrzLWU5pGua7XNvvST8OHHzt8736QwiiRBTvjTLgmRIDKIVoqFXyFAi0YbUJJjOi/HkeoVtWi5vb1jXtQAUynB4cspiteHNu3O+/PIPnN/O8DphPJr0xqAusCmTJJEnRcEnn37CcDTk4uqCosiZjh9ye3NLVTWs1hu+/vp7njx5gjE5db1guZSkqvV6w2g8oSobjo9PmWY533z9Pe/OrwKgKuuImIKKxESH6GiTGAHqjOqZqlpH6RP9YDjWwAovN461uK5GYxlkhkx5EmcFEPGOyWjI/mRIW9XMl3OauuZ2tWY0OuDhw0dMplParqMJcetluea7775lNpsxHA55/PgJKGGha2N6+WyeS9qRNoblYinU+7pmNrsVI1LrSJKUP/uzn9Jaz9X1c8ChE41JFElm0EbJ81hVtG1J01bc3NwwGOTs7+9zsL9Plg1w1tM1ltViw2K2YjQZUbc1q9WiZ3LkecoHjx8zGY36YV3bNrx9+4q2bsiSlEQbukaAyCwzFGnK4mrObL6ktpaH032m4+n7G0d//Gijr7MCpQWJbbwSZNXGqbPouvJc6Fpd14Yv25vfiautULe6ru0XgEhZ6+k94fdxcrpL1Y+TdFk0thFzu01Qr3HXmqIo7jShu+hvbxC28727f747pd6djEYX+N1GfBcs2P2++L1iOLadoEYQIjaWkZYcfQ3i68bPuBt1tpsWsNvo7zIXolN302zjpfoGQeW4rhXqftPIpPu9a22UInf5nesSqVQ2GjE6i86yYOqyPfdRnrD9DApnk76SiQ2/ea+Csb7CuW6H/eHFcDDKOzBC9UGHqCN2copjdGNgToTX8GJbg0djlUg0sjzDaIPXhrKYbFFkBVmaUhSSqd05R9t5Utuig+winmegZ4bETazrLEWRhwbG9UDMrpxEKSXZxUYyRm2gvZvUUGTBYwLRFkWdunOBNvpezKMLO6vce9tJhve6n6rgIwh3lx2QmG0agzE6fK/d/n2QkMA2/i8xCSrdvifvxJBwMBRDzLZp2JS10Nz01u0/egX4YHgYAa1BOZPYkR3wLMtz8ixjOByyNxqg84JKGzabTX8vR6BPO0kGGA6H2M7IZEXLJAVABfZF1Tk6OhIUuQ5ToU1J0ZXc3NzgvWj6u84xmAz44JOfcjlb8fLtOd8/f0WWFxwNpwwne5ycPWS1qWjrDmUDuIinbRqSVPPw4UNGoxHed+ztT7l4dcP/4//1v3G73PDw4UM++emf8ezZ91StY7bcsKk7Guv54OyUvb09jk+O2cznPHv2jGfP3rBarQJzocD4DJzvo/l6gGjnuu6uEUmSBvBPpmImmC8552jrkqpe0VZrBplhfzIidRXadbTlmnxScLQ/Jc83LBYLLq+uubyZsy4bVJLzl3/9Od57Zre3JMCbN29Yr9d0XcejR4+4f/8+WZZxfX1NkiQcHBxwfX1NjC2dTmUTWiwW3N7ecnFxgbWWg2HKg4cPOD35EK8nLJaWqqwoigKUUOmyQsCo29mMtqpJlKKuaw73D7h/fMzR/gGutXRK0SnFxcU1t7czVqs1o7GYAa7WK9Is4fT0lHvjKYPBgLZxbNYb1quKuu76uD1xJpf1P9MiP9BKsV6tWC4WTIcngbJ3V3r2p+Of+TC6p4yKO7bHtq1MX6OUr2vwbWgInWcwGQlTsLNhELHTpAbKq1IG4z2da0iMoWlqUOCsyNz6DpkQ44fUqW0rz+SgGAiYDXeAfpTHhhSAxBjSLBNgIEQCGiMmX9GENTIOpG7Yep0o5cOeakNjZYWZ0DfaGtu2tDu+NXEi2g8R4nQ7NE51VW8ZdsHkzqQBVNypCpXyaCMGh6avU3aYmECWSsyZ9643fu1aAfGrekNdl1LsG/EUQXWgLHXdsihraSBIJB7PhTZNbRtHk8ZcdMK5d0I/Dx9Hq13ad6ARB7aGOPPHdIMIGKjw92Gs6HcZqC4Y9wWm1M7t5w1CEw+AkepfQ3TuDrZmf8YHRoOjCwPtNB2Alpi9fFCgVI7308BKC6iPCYMRJXI2nJUI2rYjMQmnJw/wLqYhCQO2LMsAQAhoNRgMSEwm4JGVIDQZQvlw/8senAWPobZr5PMbhdMGpVOUHRNs1QIjoQ1ySXkNozS2a6UfwOMD+BKb6F3ZGPidZm/LINzeY6r/PhWYLagoe9D9z1S99CFcdy0eTMYoEqOo6g2RcadCfZiYBO8lFrWLz4cPPgWIGbY8ey7cnyJ/u3d0xGA06ZkHuOBNiKdpKpyrxWnfO4bjsXwuvTXHtN6x2ayD47/Dt5YkEVAy00locjuWqyXtwHK7XNJ4OddHp/d5d37J7eyGf/jVP3J4dMT44JBN3VIMRljvKdcbqjLKY+W8d13D06ePyfIUZxOmkz3O313w61//hm+//Z6PPviQv/3bf8erV6/IsgFtZ1kuV5Rlzb3jh0ynexwcHDK7uebbl6/5/XffczmfoRNFkjryLpP4R9NinZWEhzTUIkaRGDBa9dP+dGcQqAMLxtYleCuMKevwXcMwM4xyQ6pbDJautigHe5Mp00HO65srri4umM1uWZY1Jw8TPvvZL0gTqcWtsyyWC4nfNoazBw/45OOPcc7x9t07Iuu1CQPQNE3ZP9gPiT0dVVVz8e5c5OdJytnZQ+7dO8Y5x83smrqpcM6iVId1Nc7lKNVRtxvWqzlNvUEb+OzTn3B0sE9T1RRZgXNQb2qauqGrO5azBftHA5bLW8rNmoO9KUf7+zw8u49R4GyLw2KtYb2omF/f0K5LismYxIsBttZGvLK6jnezG64Wa4rphPHeHkVe8E8dP9roqyQj0QnokM8K5MNBX1xqrbFdR1c3gqgFU5OqCrF571Hp4W4kWWyK41fTND0teLfJik1xbHSbprnTyMaLt/tau5Ov+OtIqY/mUdG9v0cJw8IUp+2Rdh8Xpq2juglIzjbSLv7M2ITHRi9S+eP3RcrzrhQhNv7R0KptWwaDwZ1ifhcIiLTXXQDCuW3G8y6w4b3HNlWY4IfNAwLlervgxlih+EcKtaV5K8ktTZIMsuwH+vh4LfvpozJ4BuEzi0u7TBLei6NDBVMa3xc6sbntrMUbiZQR7dy2cJF6TfSU1oXiB0HZlEnENdUYJqMJg0HBoJD30jrQjHcYKRrnLHW9pbx4wLctGa73P3hfShGpZkmSh3+T0LZtT/O3nZxrrQ2tbenCZLZtJHs5CzIXEJZAXdcMisHu5ejPz+6RaaEedq0YY3adFAF4L4kTgWaYhugmeYZMDxx1naDTYta3jRaMjX0EkeIz0HUdOmmRjZqgAYW2rYQpMxkwpqDrogdGR1WVAcHens/4DOoQWegjeq9kEtB5RWM92np821HisGiSYhiyWXXQhIbnPk0ZjCZC29PbdaBtJc6mqiowCSbLGQwy0q6i9o7oM5GmGe+uL9FaDLHOb2Y45/jVb74gzQo+efoBXmmqpiVJM1azG7q6xVmJVlPI+Tw8utdLg05PT3l3/oZf/eZ3fPf8JU4ZPvj4JzTW8fb8iuWmYrGpaL0AOP/ub/8tDx48oGkqnj97RmdV0Ng5yqpkNNqjMyO8vctw2n3OdGSvZJJQkYXJpVI6PLuNGPChWFdzymqBoWMyGqN9h+9qMqMYZIbTewcUWSLn4/yct+eXVK1jvHfA/YePcc4xm83onOPNu3e0dc3BwQGnp6ccHx+zXq+pqgpjDNPplE0wu9Fas9lsGI/HzOdzyrJkNpuxXC758MMPeXL/iNFggNEJt/MVi0XL1fUVUaMr/hPbHOfBYECmDSeH99gfTzAobGepyg3ruoY0pa4bVqslFxfn7DcTptMhx8dH7B1MOdjfR7chXscSGhR5ri8uLsL+I0wp6jVdiG90zjFfLCjLin0tfhGb2ewH6+Cfjn++Y1dappQiM0E/bnQPDtdVRVlVUsxrKNs6mHNBtEv2LjDAvOsp59IciM5XeSOJGs5jHTgVTEGVJjOhcYz7ktaYNMReKJkkqkAdVoBKZNrqLRJ3hkIbkXJ5OnkfTkB0t5PJbm00ntv9f5haEptbaYBd6wM9tAuN59aTYEul9cS21ZiE0SgLQ4eEIhedeFlupD5Q25opehkYotxSdM27hwC5tmf+2U5MyWIMX5KKZMvTUTetFMu2QzAUjfJajNV0gk6iY7jqr7OPngXyJ2HvlqgyHZq/uCeLTlhYhyCRugI8C9CAiv7tCheNDAm3R2j4nZc/Nw5MwAIgAOnBQ8gG0F28HCxKWQHEQ8J4yOnAqCT8TDg6OsWYDOc13ofaThuEBZKKVEBFGYbfYWkYtMmC6fIQbxusbbHekeYF4+keKMP+3lSYBp0MAcSgMdyHIZd+s1lTVQK8GJPglaK1TkwF0Vi0sFOCpMQ7FeSVGnzO1jMCdJJiUnmOEteF2rrr6+Y4T4tT3ejVsy2n4i9+QGHBezHAM/3vA23Gh3hHH2pWo0hSTZpqsiDNrauGzWqN97DYLIhgt0caYhWWgkQrSA14uUZaCSvFmBTbCfNGzKJ9/ywlJiHNMpQK8onOkeXi9q60JiwJO8778jx7ZUhUQgZoK40v3tN2LZO8oHGONjT651fXDEdjnj37Hqdguj8lyQd4NF1nubm5ZW0bOR9EqYYnL3Lu3TvCGMPx8Sm3NzO++vIP/P6L39O1lsODe7St5dWrt8xmC6qypapa6srxb/7tv2Y0HHE7u+X5y1dcXF5x/PQp+jdfYTJNloAuMrxLpDZ0HZ13eO3CJF/AwMQEearxJFoa/2jJqJylXi/xtkV5Bd6RGBhlQ4aZBtti8IyGA44O9skSzWw+CxK8GmU0hweHPHn8hHv37lF3LW3bcH55SVkJc/LRo4+4f/8+i+UymPK53hyyrCo80LUt6/WGosipqoqL8yvOz8/5iz//S46Pj4UN1lq6tqVtLTc31+SFQRvESJQWVEdZrsgLw6AYU+Qpe+MxiTKgM1wtw9FytWG5WDG7nbG4njEceOxYc3gw4fTkiNPjYwxegB/f4X2HJofW8+b7F1TLNfujMalXWCsAyvHxPebzBW8XN5AWTIaFRJHfzn/wHMXjRxt9i6ZznqaTB7jrOuarTR9No42WWLPW9ggcSgXDBdk+vRNnUt1vNnI459hsNncm77tN8S5IEJv6+Oto/hapqnGKGpuT2IC/f8TmvXeyD4VzfD+x2Yz/dneqLs3G9nXj/+OEXmvNaDTqwYldCcBuox6/N36+CDxESUJRFL3uPr5GfK8RXIiASGQIxJ+5a+6zK2OQRVEa7tjgCh16e26Uh8RFhoMsHFLw6rD4yeZa2rZ3Nd497jYgCTob95/VIgt9NIbr7wGvwUlB4HVw7RWuOEoZ2aSCgQfWiZFMaKKlAFBgDCrE/yVJKuaRWUZiBGyxXlM2FnEoVmQ5gX4YvtIENcjCViO7QGJTjJdrH0GfXdmE+FUkdK2i3DSsnTQ0WVZQ5IayFGOXPM/xRtN6h+06TNqgUmkWfYg3ygZjpuF67d6xshnd3QCNA+U8No33sMQkxilTePz6Zt05H2IcRYfVBRdZY1W4HkkPHO36VfSNpXdoXwFbgEV0mpqxGTNIU7JcTAt1AKoWy6XotW9uxPQxTUkz0QbqThgM6Q6wYJIkeBNo0AanVQAjxLQwzVK6zqIScY62tqNsOpzvMEZkHkkwg/Ia0nyIMjnaaPIipSgSdLWiCdcyS1Mm0yHq5kqKahS/+u3vKRLDoBjw4ZMPGY/HrFYrDvcmLBYLumqFqz1tiJKJEZ2fffYZH330EYPBgNvZFW/fvuXlm7dczeacHJ+gkow37y55e3HFzXzJumpom47RZMQnP/mEm5sbVFuxt7/P4eEJv/7dM8qqEtCnKCi7RJ6RnSPKGHZTSthhnQhI0wWdspUxFAqtPEWqSVVCbhTad2hv0TgenZ3y8P4xq/ktr199x2Ip+r2HTz7g8Qcf40P0V1luuJ0vKPKcRw8ecHR0RJ7n/TMym816OdZqteonTpvNhjRNg77dMxgMmE6nnJ6eMp0OqTYb1vWC1crz/Pk73r19h/OO0Wi4YwaqGA4GjIdDhnnBMM0xSlMuV2zaDV3TiCygbbm5ueGbb77h3btzHj95yMOHj3jw8JQklT2qqRpppjoffDYM11c3/O53v5Ppxr1jYvGplNB166YhTRJOTk9IkoTLiwvS0V1jzz8d/7xH1d01OvWtrFVt19FYaTZjzKwxmmI4QqloRAqowBDTAhDGZkt7SY4pNyUAaSLruzZGzE5NdHY34rCvDZrAFFTBHyXEajnv0MoTuDSANFySSiVNklPSPdZ1ibW1mHiFPV4YW75vxKztghxFB98NWWud3zLtOuskJSBOS0M3M5mMhFmgtbC+vGTJK62Dl4fB2o7Neo1SnvF4glJCtxdWCzKFVNsMeo/vzWjXqxXRfNUFMzIXJrxFXqCN7h3u48RcPNJSFGlsF9HaMB5P+/3Wucji9GFiH0xYuCtfUiiMiQT/Hbq+NyhM0BUnct1SuZ4+Nh5KWtbY6LtQ03glkgPvhdYve+6WvRAbTqM1Xsk0X6GR6bftAaT4+kmaUQwHeC9+M20ALY0RanNkSOhgGmkiX0VJ3aSMZjQZBxaqwnfiFeEC+y/NMorBAJTU6iKTNfKmw6GUJ00ydKj/imJAZzvaztI5S1YMUEkuoEN8tuL19r6vjVSs8aUQoGkquraWmiORZItt1KrcYyYxaLZDvgjaCoHz7kBu+353opjDX0tMYZAIu933JdfQ4mTAoWF/sMfZ/VOcc7x4/kL2rqrsGYvehHo1UM2zrBAdvUnRSszinFUCeCiPiaZynZVhkQk1SpKQFRnLxZJiMJBzvJOQMRiMiO7/ouQwpN6hbULbWTKtQ7y2lmx3KwOSP3z7HcuVADJ//hd/TpEX1HWDyAPa4Jwg7J/YyySJ5smTRzx4cB+lPF3b8PXXf+Ddu7fkecGTJwccHt3j1et3vHoje+xqvaIL8XQ//elnlGXJYrHk4Ogejz/6hD98/5xV06CzhDQzYt7rIxtWwDOMkjpMJ+ErmBSaIKtxTsCPOLZS8lwrb0Osp0hfkvBvMqP58IOnnJ2dsF4vefvqJbOba0yqePL0KcenDylG+yzmC27mt3glNdHh0SHj8ZjBIKeu654Cr3bWjNg7LJdLrHMsFwsur654+PARHz79gPFoIsNHFF1rmS2W3N7Oubh4x97+BK/FZ0UALBkcnZycMB4UGC2Mq/ViRWYyYSU5AXeXixW//cffcHN9zYPHe5we3+PhwzMBWL0L8hBp8vGWrvZUa8frl6+l9vVhj3KSVLBerRkMhkwmU0il/p7PZsEz5Y8fP9ro38yWQmm2FmvFDK2nxocNJ0kVSR4XAvk+3S8Y26ZRJ5H2sz2Gw+Gdhn53+h+b1EgL351qZVlGHdwiY+P/vtt8bMDfX0Bi473bZL9vrhd9AraLju83PpAFajgc9ucivu/IGNj1EdhNA4hygF0tf3y9SM3dndzH1+r18WF6Hz+byCay/hzFwjoyHiIIkqTZHTp3BAd2G32DplBGdHJWtHvamJCTK3/WtU5okvqHhnC7YAxa09iwYYVLnmUp6Xs3Ymc1uFamCMaGIiQUFU6mIniPDTozbXTv5Nn/3J7xIbSb2Dwardk7GOK8F6lC+J66q4RG5ASo0l6cXPt7ruuovQ2UuZb1es16ve4b/KIoKIqCJEmpK9Xfa+PxGKUMVdX0gJG1NdYoatv1YA6AMikOT2MdiTIkiRHH2J1zowNgtntY20FwliX4JAyHeU9dl3sp6hhl8mKtjCHyfIAxorEX13+JA4nv9Y9uuMgkQKiSW+8LpRSLRct8fkPbthhtmEwnPbvh6GifLDM9MNY/V/k+JsmkuU9StNFStCiw4WbURjYJceTvaDrXP0NpmmKSnDzJKfLJFlAMmtEsyVA63ZpQto6SkrRtwXsSYwL9SVGVFSAxnd8+e8swT/g3f/PXjCZTFssVznb4rqWrNkyGOYqOchXNGB3T6ZS//Mu/5OzsjMViwVdffsliOSfNCsbTAyyaX//mC7Is493lFbPlmrq1ElmsDEVRkOc5R8eHuKri7dsrfv/l78F79vf3uV5tWVHvr1932TNaIoQ8NL7BdqB1IlMKiCMhkgSyPCXTkKcCsClvSRQM84Suqbi8eMNsNiPNMn7557/k+P5DFquSrnOkRcpisWA6nfLxBx9QZBld121ZLNZSlmVw8D3ogcfBYMDt7S2bzYY8z5lMJj3Nv6oqbm9uArAzpus6FotFQOE1VdDcF8O9fn3NA7DUdZa6KanKikQpuralaVouZ7c8e/aM5y9ecHJyzF/8xZ9zdnaK0hJjk2UZWZpSu4a2bSg3DZtNzVdffcOrV684OjzBOcdqtaRpGvIkR4dJpnWOvBgwGAzIh0OmR4c/eGb+dPzzHeuq/KN/niYpo2IUCn1Z10GaFYenC6wvh5jqKULeesxg9waDRu8DRMM2JS7tRnTb63KD8tLOGUKSSKDqboKfRuc6mXa7NoBoHq+cTJVJpLH0itVmLZNgHcztlCFNJG7UdTYABIFR7xRpImk6RDO4sNw7T0gcEN+UZMdvSClxKceItZVXGm/FJK6rO3H9tzZkgsvkPdYXseYQtlQOeFbLhdQESvVmslXV9PuB1oY8KxgOB2ilZV3wHcpJEJoLpocmyUJDFTLiTSINlwKPIwkTWyFISJM0GIh5cNe60KxJs64A62qgY9cxPvhRA4FRmCToNOsb/XCCQiMr36JC8oBDJrW7VHQxGg/1JxAFJEIiiLngIhcc5BL7nAT9sg6JOB4lFH2dkSSZGA5CkFRERqMLLAW5h2WepWiaVoxL25bb21t8FBcoz3A0YDKZAJpN1aDQFMVQPndgfygFdVuytzdBaUPTCfOzrmuJEbQNvnHoRJiG3stAQeCTICMMzExjdDCMtOATud+9DywUid/OMnOHlSHgC4FRt62rtY7N/O7wTC6II8go3DZJwfl4T4RmX0FrO2xZSj3VVDjvKJKMYT5AJwknZ/dRDmazGWVZ4ZTHqTDdpwuG0aLPhwRHMD+Me6x3KN/KfuRqrHPUbYNXkKSJ7KfjCXmaBUBKBjTOK6xthOHhXN8Yey/DvGXbkQ3ET0QbRds2vRzl+vaWxWLJ3/7t3zIcTnCdJTUp3jluFgv2J2OqzZqmLFnN53hn0UnK3/3t35IlKV3d8OrdC2bzOW1refPmHQ/OHvLF779iuSzZlDWbumFVNiRZTuuFfn9zc83B0TFpXnA5W/DFV1+zqVt0kqETg9YiJXE6yJ7U1jtB2EXbBA/nPLgObcLQTgOB56ISg7ICcKXKo7oG1SWkRpGlBpzl9vqab7/9mmq94v7xEWcPzyiGQ5SWtaWsLU3dcnBwwP0H90kLqUe6tutZvvP5ks2mZG/vgPl82Q/EmqZjb09isj/84CMODg4Y5EVgDyrqpmG9LgHFbLbAOUtZlwxGA5FSGmEuHOztkWepMDMa8RhJ0xRvHavFmnJTc3l+yddff8urV285PLzHX//VX3N0MpblxzqcbWnqEm9bEmOoNiWXrxf84ffnXF5e03pLHWKsZ/MZ48mIvb09eR6sRaeQDXISo5n8yODhRxv9yd5eHwGmtdDymzCxESRGUZiUDN0jS7vT8qgz895hUrXz4AfqXWiMYyPbhKnMriY9NvmRbh9RubIsaZqmb752p9m7uvbdI25Ku9P1XRBhd6K/e8QiM1LvY6O9S/uPRmbxPe7SoGPDvuusH1GmXdZCnNbHyLpdNkN0HI/vYVc7vqVmb80Kd6UOaS4PyB1X//c+p0KFSDoxOuk6B52j63NsA+0w6MfufO97jb5XUqoYk4SHwvTv587RSeUhkwwt+kUg5tsqZBpT1W3/udNEYmy8l+Imnr80UKeifq9rW3wwJiw3G5wX+mWRSBMd32uapugkkUVzvabcbOiscNd2PRDquu6vYdM0MtFvwqaoFG3TCgMiz3qtzHKxonQtDWGibwx5UZAmCW3TUAWpRZIkTMbjO8+H854mRHTEI3HyJekVctWkmd7e+94TTOy2G2KcPEXXZq9kUhCBoC0DwN15HuW5TaQ5ZRvPF3X+cbN21rJaLVmvV/3zmKZRsrF9XZNO0cEx36FQbnsdjDFBIwc66AHjuYlsmjgtzvMcZzWNtb2MAe8pioI2ROitNxtsVzFOHVNbkTlJVmiahvV6w3qzwSQpw+kUlRroWqzzXN/cYLQiUXC1XtK1NWcn97i8XjFby5qjjef09JRHjx7x7PlzmqZkMpmyWM6pqpr5Ysn9+yPaznJzc85iuaZpWrmnjGIy3ePTT3/C/sEBvqv59ptv+N0Xf+Dli5eiNe6gs11Yc3estby/A8x4L41E04XCSYmOrMiHDIoiTPOl4JXnMCVPIDVCx9ybjNkfykZ1e31NuV5xdiaRf+O9A6qyFBq0TjCZ5fT+fc4ePCRPEtrgBxLNP8/Pz3nz5k2v3T85OQHg+PiYd0En9+jRo9Cs5zsoewfOcX39lucvbynLlqcfPOXy5orb1RV1XTEeP2Bvb4/xcESepLR1Q1O3PXW2qltur2+4vJ1xExv0LOOzzz7j4OCQNE3orBRS1tnQpFTc3s64vVnQdT7EGiY9A2G9XlM2JeOxAFMkkoFeVRWZFUMkv7Pn/On45z8OD7bASgT4IlPQWivmlUoa9e2aF/Y2hejatQ75zbovVCMTsd/DpIOjc46mDnGu8eeG/1srjudewXy5lNrCiPmrduIur5FpljE+gAKyV00nUzyWpq3pbEPUHovDlbzn3We8HwrsxFcBvQywl/iFSXX8vvVmg8gTFF4ZYdopWRN8kDL0BafzONcK6zJs785KprdSKmhvFSSmn1gLA0AK/N4nJE1QiLQFD03n8U5jEk1R5CQmx9g9NDnOWdo2aJ213e77wcFeDBEVq6XQsGVYsWU60l+3qP2WaSJe0VmZoMa/S9NMTBr1jv4/sLPcDkNQK/BatPLOOzHVcx6vtDSyoe6I18UE8ziQyZwywRdA7ToFIOccAQxXq1UvFxxkA3qWmLMkqWEwKPA4Li+uwueU2luidaNmXdgVq9WK9XqD0QnD8QSUEolVZ8nTlOloHAZbmvPzizAZlum4Npp8MKRzwtRryopqI4y9Isv7Wq9zlq5rd1h+AUHwEQwIRoPe99GwQQwjUogAjscacvcZ3ppqS20RGYMajVOOrmvC8yBggXchNrlniIjhpUNSJjwy9aybFtVa5vOlSHVQJHlO5xwOmZwbdDDy1VgnFHilFUYlSKqAxuCC65NiMikC+8PSRZFG0NM0XQveBlPkANYFUGO1Xks9rQyZh3UzJw/vvW5qoknzvaMDlFI0tZgQV1XFxcWF3H9hQj0oBtw/uU9dN9zc3spUXCmOj4+4d3SPi4uLMBTJODk55s3Ld/2z2bQddVtzc3vLzXzOaDxiuVzy2ac/4Re/+AUPHj/Ce82zFy/57Vff8PLlK0njIph9KoQRE2QTvbTUh/OgHK1taK0HpxjkA1IlQzXlZWKvI5CFRytDquT5MEq8FtJEGLp115BmCZPRMWcPThmOx/2to4A8yzgdnXJ6eko+yGhc199b3ntevXrJ998/4/LykqoqmUwm3Lt3iFKKd+fnrNdrPv74Y1CK6WSCay3OQ1mVzOdLZrM5L1+9om5aHj9+zOu3b2i7BpwnTVL2p3vs7e2RGRPub98bdS6X8v1XF9cs5ytQ0HY1Tz/4GXt7eyH+2+Gtx9ut78Tt7Q0Xb99RLeDB/TP+K7/Gell7nA8so+CFpdMkAJUWoxRFnlNk+T+5d/5oo58jk82txg0GWuN9h2+FOlS6jo1rAn2z6xv1tm36LMEsy1BmfKdh96Ew3zXLs52nbSxtu8GzjWQA2Vij2Vw8tE7RZCgyBkWItAvNogkNpvOeaFyWJVlPv+o30WTb5Av1SppEo3J0EppbpdBpiCuLRoChaEiSBGctbdfhjUIHJ/VozrNardDaYNJMdB4oCHnoEcHs2i6Ymkj8hMlAZ0k/rdaBjqfCRNgrRYcKHjA+bAIafMp0MmZQFH0TbLSmCUhX69o+OucHgIb3bDrbO/rKxEFiWKKzptEG29XBlG3LjoiFuwnTFKUME533AJFWogXURkyAOivRPV45TGKC9kgYAyouLErJFEAp0sFdczliAbeTRa+6kq4pqau6d2vXahvhmETpQWuIsWNJktB2JVUVI/RqurYjzTLS4DK8a1AXm1I5Px1ZNrrzviIYEaUVTdNgnRgxDdIcYxKUha6RuJaBCvdTYlDtRgwDvdCE67oKLJLwYYHMJBR5QR402Vop2q7uaYfx6HTQ2AeWgkwKttRHowzaFiizh965RjEGRzI65dfDdI6zLXUtE1DR/zkSvaXfYxKskgJMaZmioECFTVCYIQnWDbA7E3qtDflg2BcM1ouzazbQQn1VW3NLlXYkzvZMldR3AfEXCYO1XTB/k3t3kGtqn9LUjlVbU5BSZ4YVNaMs48HZGcVqjc4HmKxAOUt5OedytuH05ASVpZSLGoUnP54wHWZ49xqtwfmK49MJ2lS4znF6ckZVWX77j895d3lF5zuGkyFlWTJfL7hdzsnSlMGgYLlY8d//9/+B0/GEV9895/LqBq9TkoNH2PGS2eqWjbOQgG27kD29BUv6eMdwHqToNCiVgc7QqgBf4DBi9pU0GO1JvMVYS6oNRZIxGaWc3T+kWc+obINVitHeHp8+vI/PEpZ1x6vra5Z1y2TvgEcnj5gMJugKurzFI9TDprZcfP+Gr7/+ltI5vvzmNa/nNf/m3x1wdjjhzfUtt6sN9x89pRhMyExCV1mUt2Q+pS2O+PKbb7m4uOLt2ysGwwl/8Yufor5uWX1/xXg44uTohKPRVJ4P62RSZTRt11F3HW/eveHi/IJ8WPDgyX3qbkV2oXl0dkxhgHqDtg1JW2M3jtnNFW1ryU3C4cEU5xMODu9TW9A6Y91purJlguNgkJOmikVVoSYp3lkGewVNV3L9+vLHts8/Hf+tDxWb9rvAslaKVVWLX5B07TgrtGTrHG3QjkdzNvEzMRhlaOsO11pZa5QAAtFcrywrqrohL3Ix8vIBJEbRtR1lVYZ2i74WSDNDkiWMByMUjrIMRT5idtfTy1VCriHzaa+Hds7igzlYBO3FjEx8KrKwJ4kxqjRbxoj0SaJMA3gRzFqWq4XsHEnIo0cFsEAKaqlLRdevjEJ7DWxlBMobBqNxmNlFFl382g6AFLLPds7TlTUohTYJiUkpRkP5uAGgxWvWS0vXNKHWEBkD3uFdh3UxZtX2n9M52eezPGeQ5WEaHkBk3+BcXBOD27dJGZgEtEEZoe57IiPQ9HR9afZCokL/4cB7Lcwop8L1FTlGoSWq0PZ7aqg9lEwtM53QE7ACC9ZaF0DeBHSK0oauE18R5yxt3eCdI0lTtFY0bcVyOcd5S1M3YSBWkKYZKCVyM+96sEUkHqlMpRHgfTCQyV5kM3gn3jllWUrtpYK23RjW67VQ/UPtEWu7fDJGoWjrOpiWNcEXqAkUbsd4OGI0HAUAetdgW1gkcu866jY0+kEn3x9eJBPRa0Jp0cCbJEVMhSFN8nDfajyOulwRE5ZQVjwN5MFkMCxELgDBvFn1z6cNjXWqxWtDG43ktYseu2092iQYk6NNgtKp0NC9R2HDMyYATucFxPOhRjLakKg48Omoa5FuVtUGlEfrFIzDWmlgTWcZmBTra3zTUpYbzs7O2KzWGK0pqxrnLK9evWK9WAowGGqpYjDABVloXCfqtubp0yc0bccwKZhMxpSbit/95gtevnqFSTPqtkNruLy64OLqgqquGI5EXvM//o//Fz797Ce8fvWSm9mCqrNkeSq+O02N15kYnwqsIkuI2zJ2PQImtk7YQW0njDzn8/56y13hiNkX2gtQkGhFmhoxyj3eo+vWzJdztBlxcLDH4f4+w5FM29ebDdfX54ynB/zs57+kc9Jbdt3WwLooCl6+esl3333HxcUF33zzDWW54c/+7M8YDHK891RlydHhIaPxGGctKI31VgDCTljRb9685vbmhuF4zOc//Yw0Tfjyq98zLHIenp0xGk/QWjwTXFiv2rpltVxxfXnF5eUV2hvunR6jEsPR4T4Pzk7JkgSDgKCL5Yo00dze3NA24m90sHfA4OiAZl3IGm8MpfGcr24pEoXzljTPWK7X5HmCE1sIbNfx5vXrf3Lr/NFG3zW78VhBj57noRELpiVaHEu0ITjICmVX6Y40i4Z8MoGPrxWbjqqqts0C0HWetnXUdddrovNc9VmieabRKmE4HPaNWtTH707Odyn4ye6keadgjpvZZiMNVpZu3frTNO21/rtu/rvygdjUAYGJUFFGB2Cd9C7AB0fHd6aktmmpq+rOa8UFMprXKaXwSTD4gT6cJAL6PvxHowQxM3cp+XIz130OfHyfu6yF92MFlZIYvt0j5qTHBaXpOiQ3djtJV0pR5MMend2VRmwPj3IteEWeKIow2bc6wYUJRF3XEGQZd6bK1kHThWsjCHoEhtq2ZRPAH9Vt8F3TX/c8TQWdDdr9JJEUgEUYkredpe22sogkzSgGw/5cRQZFPJ9lWd5hjUhFkAWanenvr7IqeyAry1KG6VBSKJTqY+S01mRmJ6LQe2zX4pTcb9VmQ1mWd+5l7z0+y6RpS0Q76JUizTTpe4FKQqnbAlhAL+8w/XvNsO4uw8IYc8cXQAGpkwIsS7f3awQ/4uFMBia/QynvC9LAWknTlK7RtKpD6+Bwq0Uio7UhiRGExss0aPvq4RyISY4OdFmcaJeMSsTWwSTs7x2IDss7aYCdxviUdvaOppkz26xo/JrxOOf0/ikHrefdxSVFMcRby3K+pEkSjvYO2Sw31HUt96M1tC2sVmvKcsNkz/DRx485OJyQ5yPWy5avfv8tX/3+GfP5ksnehKZrePn6Je8u3lE3DZ1tUQaG4yF//stfUC2XVOsNDx8+ZXR4wtXf/4p1C5X1OK1wKsgkuOu3sTvN8t6TREqk1iSkGFWAlWY6GSiKVJMPFN26xluJmswTQ5Fl1HXFplwzGGhG4ykPz07pNpIja4YFy03Fsml59NE9Jnv7pJ1GWcemKmm6EtU4bNVwNDngYHwAVUndwuz8mk83NUWqePHsOQ/vn3F4eI+m6UjzBCxUm4rNas3Fas2z1xfcv3+fg5Mzuq7j3sk+N7N9Xr4SZ+gHp2c067K/h7vwHL169YrZbIb3nsPje5w9us9wMuTtm+cMBxmjUYFra5mQtDX1ZkVVldTNhjTN2T86Ih/s01rDu8sFnYO6c5BkDNKcaZowyFK8t3R05JMBzWZN6zsKk3J8fMSfjn+5o21EztJPUwMLKNWGPMsgkQg95x1OG0yQLmmng6+MQQVjV9Eot8IqCjLEOJn2eLSC0WiINob5YiFrnoLpeCwSMa1JsmS7J2hNkhrS1JAkgfmvFIPhUJjxbCfPUmsYiR72IZs81CTsrNmRUWatDeua7wvnLdNS9qsI0FvnaIOGXvZShzYZaZqHiXciU9rW0TR1kIwZnJN0EjHai5P1SLdWaCJYHJ3V5ZDPL+CB6GHD/qIVykj8mZgRKrp1C16ot64DRSJzbiVUdKV9aMIymd7iw7mTuk/2FWkVwnwD76N+3/WAQpKIrFFpA0HbLr4HInXyoaFXSmQIMUVAPBZ8AHUECrA44ic0RgUWj0S7yV4XrrVWGO2pNitc14ZY6WCw6IPpnrEkWUGSFL3XChCmwMIIsLalaWqUhvFkSJZmQeKQobVoh4VBsBObqLdu71JPBUDH+2AeKyy80Vh8k4TOL14RWT4AZYTdEc6jc6Jf9t7LJFaBta0YKHYtnW0Ck4r+tbeMisiWkS/vYTgY433XezvEwUVP9w6eGfH33sd6PvpYqb74zdNcBgPK4ZXFBc23D6aRKqjBtRbvBK00GIM1Ek2sVch3UAoT1pIsc9ggr/BINLFSBq1SGX4435swouV9eRUZHYR/J74NeZ6ztz/Fe8/V1QXgGQ5HtE5kN7qryeoMM1tgbUXXtHRNzfHREcnJfS4vLhkMpZ6+ubymqiqJXXMO5cU5Pg5Qo1fQ4dEhT58+5cGDB4yGA+q64be//h3v3rwTdlueU1YVi8WS69ktnXckecK6XHN6co8HD0759rtvqMuS/f0DSDLe3czpnPh2zFcbYcP1VpNRYkEfL+qUx9lOgFS1Kw1WET+TqT2QiI5Dro+mB0idtywWM6bTjOGoYDwckicJ1luhtF9dU9WWh48/YDKesC4rmrahrKo++rl1bV+rj0YyXH727Bk/+clPGAwGfPHFFxwdHXFyciISHQ9VWbNarXHOcXN9w4sXLzi6d8RHH31M1TY8fvyI9WbNH/7wexRwsLePVsIyrdcb2lbAurdv3rBebbi+uubs7IwH9x8xHo0pq99gjGIyGQmTp2rwrmF2fc1wWGCUwSrD/eNTMmMwbsjrl/J+Nk2JzzQrWzOd7PHw0UOs9zS2ZToZ4UwmhtVAkf//OdG/vr6U5nPH6GWz2dJzi0GGUgnOmzsT4pg9vttgpsmoN23aNZ/b1Ze3jSNNYDwe9xPSODGNDdeuTvh92nt8D7Ehqeu6d0P/Y3+/22jH14nv/32n60g9jy7b0f3/jp9Anob1dav9X6/X/ec0xsgEfufnxYZ492ckSUJQ9/TnNE7zdg+NIldb+UDXiXFP0zT9eRsOh9tFVd+NG7zzWvqHngZRShCb3uFw2J/H3aZud9odP9cuiADSREazxdjYz9ZLLL4HbfqNz239ClAqsDLem1qHKMbI8tC2FbfjAHx4FSYWVhD7uJBvNm1/PuI9Gpkl8RpFgGNXTrG7Mcv1gLaJaQLBQVhBmhqKIuujzqJrcpIYJmb83rnf+lqghnRd2wMzg4FQ+iI9uqqq/jPHAhC2TIM7h7obxwh30y5Ezw6p3t43zjmZ9N8NFMLjReP43r0TQQRrLa3XdOzeA+G6Ofm3iUnCYqR70EPuc0NZVVsarVZS9L0nDXFWphjKiwGN0L+igWL8UJ7xsMDaDue8aN+UQQON2zCfpSxna6DkenbD0cEBp2cPSQcDuvUK5SEbFJSbDXUrTAyVaHRiqJqa69sbMcPsOh4+fMqf//mfkyQJy+WC3/3mW/7Lf/kNV1dXjKYj0iLl9evXvHnzJhh6etbrGmM0f/3XP+fp06ccHh3w8OmHOFL+/h9/z3/+z/+Z9XodMnITkiqhC/f+rhY+roPxORHQMZhWBupbYlKSRJFmDm2C+Q2OVCvy1JAaDc7y8tkrbq/fMP7lT9l7+oA0gC+kCS8vLpnP55w+ecrJyQnGGGxtcU3DvJyzqRZcvb7g5u01o3zMgwcPWDx/RlVVXJVrFos5+6lo1j777DNcWLtWqxU3l1es50tpuPKcTz/9lHv3hHYY94fpdMrf/M3fcHp62t9vUbN/dXXFZrNhsxEw5unTp5ydnaESuLq+4ubmRjwzUFR1Rbmas1nMUN5R5BkHBweYJGM8HpNkBb7yLBdLjDGsVisGgyGj0YhxJlOC+OxEnw7bdQIQJz+6ff7p+G98lOt13wCCCpF1Ka2SxAqtRK9vgmdP3Tby/PhIz9YkOu2n4FrLRL9r263B13ZBpgn06pOT456llISJoPe78a6EKbYmSVRoalqUtxiTEyVUzomp8WJ+Fai5JV0rqSbe0zu5O2v7WkDW2Q4bJrzRo2gQtPDSwG/ZdZ2zlHWFUpo8S/soXKFsQ1k1AYRI5OcGyrh48Fik4Q4NmNF9U6ii27pyd9fdcK4gsB2UgCYW+cx121K3IsXSO3p2k4Q13ytU8BSNdaYOzAScJB+ATNnDABUb5H7CzpRpr9aGNNOhlgiyyhB5ppTGmDAgCI3+bhMyDHvtpiplwudE5iemfeHc+sCcJNSsOrjZh4my8x7fdiyXS/F3cS7Qqj1pItN8MabWiNlgbHgFPMmyXCbYWcp4MgTv+iGWNjLoArDp7j6+NT92eBaLeZh0x0ZbhkXGJAwKcYaPQ6IIish50LigQIgDs9FwBHg26zVNU4l7ugnnW0mcr+1a1rYT2cAwSg8FQBBgRqIfdapRSmohqR3lZwsbZAsOKS2ATFU1OOtlIh+SJvpsdi1mmCZVYGyvt7euE2+pgAApr9HhvkBrQtEQms4Y0Rxi4MI1br2ic+CcguDdFDKLZZ/VwS9AaVS0gVDI6wY5TNN1+LpGKSV7UKjNrNdYr0hcS96kXF5+A22NbmpW65LRaMTjp49o6xobhiO2sWjvw8Ta9pKk1XLJcr6gqUT6eXrvhJ9+9lOKbMDNzZzvv/ueX//jb7m5naNNgg0Dzcvra25mM1kLNTiv+OiTT3jw6CGj8Zgnjx9zeT3ju+fP+e1vfisytcEYU1uSpKJqGrrgm6VClKZ32z5FG/FhUwpwrvd00CoCUeCVrN5GeQyePNEUqcZ1LTc3K66u3vHk6TEHR0fkRmPbhrqxzJdinPfgwRPun53RtA0eaJtOIgKrDav1mu+efcdoNOKnP/2cL774XYgPLJnN5rx7e850OuXzzz+XVB3EG2GxWHJ5cY3znnKz4Sef/oSjo3tsNhV+uWB2O+Pg4IB//+//A6fH90QupYSFvFguKddrrLNcXFxgTMovfvlLHjx4QLmpubq64fWbN2RFhveWxXyOtSW2LlkuFuRpwsH+AV3XMBlNxGCx0mxWa5q2YVmuGRYD7t+/z16Wif8AgPIUWYFPMlCSJBAjjP/Y8eNmfLeX/WIiTZGYSNmF65vbNNPkeXpns4kNwZ1m2sd4kLzXmu8alLVti+0gSYq+2Y2Nzq6+PTY728VO9Y3j+3r/3Ri+uIHf1SBvfx0/j3PuDlsgmmYVRdEvgr2bPfRAwGAwYGObEAPW9o3+cDjsv6dpGrAObf2d9xUBjPgerbU/aPQhSCB2mk2NwvitPj96A+zt7d15/eiqHptZpURrutvs3y1ytud212Cw67p+yv1+U3/HIAx4H0iI7IkIRJRlSdk1mCyVyKxgKribne4CXSkWPPG8x+Y7/tw8z9HOYLsmUCpb6sb2cUNRv+iBDjEtioWU96Jzi9c2FlIR0Ikg1O49JJ8PmmbrSEuY4CRJSlHkgKLrHHmeoXWMW7Tb8xOLrL5prqibur9W8ZxnWcZoNOpZJvH9RQbBZrOhbbdu1B6o/dYMcjdzffczOrfBufauVCNJRJ+4e92M6WUgsI2YjPeHMBLkPtxm5cZGn3DfKbJEkemUmLubJmE9mYxxztJ1QnVsmoqm3dx5D2kAYGRv9WKmqCS7+e79Kq6ogq4neOXZVCvS1JANCpqVIU1yOmu5vr1hvH/I8dkp1W3OaDCgrmtevnwppl9KpjdlXbOpK16/u6LrYFDkfPzJx+zt7fHs2TMuL274wx9e8ObNG7ROUVozn8/57rvvaNuO4XBAVdWkqWZvb4+//Mu/5OTkhGJguL295dvvX/GPX/xBot1acCTiOYCAWd2O70dkF0UgLN6XOmiDjVESM5RJo+9VRdOUNG3NSGmGeUqRJyjvqKuKpt6QJ4YPnzzm4dkJq9tbuvWa+W3F7775mq7IefToEWmaMZvNaRcl1WLD9xff0nUlA1Nwdv8+R/vH6CRn/XuJ1KvqCmst8/mc45NjRuMx6/mCLM148+6Ci/NzfGc5ObrH8N4JRw8fslrJhnx6ekpd13z55Zfs7+8LSOA8WWjCLy8vubi4QCnF48ePGQ6HHB4eYoxhvppxdXVF0zQ8fviQLMvYrDfMbmeUqzn3DvY5Pj5hNM5pW3n2VssVlzcrvvrqqwAON+ztTfvnRR55Wb/XVUWSi8v1fL2kvbnhT8e/3HF5fnHn9zJl1Yhruew9eVaQ5fkWICbosL0XvaONiTfSRA0LmZpKHxcd5MUjJU1ThsNBWC8JEiOP0wKsicO6l3XOeZpNTdc1oaGxeLqevo33ErHnw1SWMJFz7+3BXliRVdVRloFRGaj1WSFmp7Ex0iqE+DmkIY2ae69xztO0whYQbwoCKB3kD4i21wXTWZRI3ZTeadC0NDT9/hlBFr89/z0soqRhU0jDtlmt6GzHYFRwOJlivaazMpV0DnBi4Ga06HZRDmNCfRV0qzrQvxXSXOGD74LykrQWgX0NaZaQ59m2HpE3FKIQt3u39YGFEK637Txv43Ns3osu3RnECIXAAZZ1MC30VqSOnbXYrsN1AqaEbhvQwtBoHV53WKCthBWpVIwRlJ/VtS1KQ9NYVqsO762AE8TPkGBMEmqL+Pr0AIzD03aNAPM6DE60mBV7BWme91NzqYU8vpdqttLoq+DDoGMEnkYyz4XhYBTo1HB4MOkbZcEMFEpJFPJqtQky2Batk36aq4jDuQC67NbhwUdIjH9FwuucmFTKuzVYwnXT4LTEAeoUmbBrjzKGJAAFyvr+Ghgd2AqBddHfHygx2lOqB0USY0LDrrBW4Tp5LR/SDBwy0RefB92PqY02aO/6NUgp1bM5CFW8R7xBjHNob7BoLCkmHXJxfY2+uSVNMz765BNuQtxvqlPmt7fiddZtZQ/ff/s91zfXrBdL0IoPnnzA/nSf1XLNd99+z++++JJ351cobTBJRtmsuby5pmobjo7vcXF1ifWOs/unPPngKUfHxwyylIvLS7777jmv313y7vyC1aZiPV+RDyeSbNB2dG0TXEAdhFhswTociRM5pjIB+DNhCKXFa8h5ybwXh/2OVHsGSUaWeMpyhe02tG3J4eEeaWJou4a2abi+vuL83SWz2YJ/9999gleKdVlRNx2Xl1dc31zhkJSmD55+yGgsciPvJL1BoWnqluVqxdHREdZ6qrJBacVivuDrb76mLGsePXrMhx9/zGg8QmvDurzh9PSU+WzOl199yWg45OOPPqQoCrpGUoYW8wU319dYZ/nw4084ODggTzOaVrwlbm5uqZuazz7/KYNhQdusWS3nlKsFB3sTDg4OKPIcpXK6rmOz3DC/rvniiy9ZrDaYPGMymtDVNa1WoIY94Hlzdc3e0SH7RxPenl/Q2bueXrvHjzb6p6f3fjD9tjY4rWqHUV70O912ghwbkPV6zXK5DM1nQtdCnhdMJhMmE3HozvP8zjTaWaE/AXfM7eImGCe4u7Tw2FDGZjA+yFtTsLRvIneb+d1mH7YT9veb1vh7oKfzR1OwOGXyXqaeLpGFdTAQJ9RYjEeqv7W2jyPcZSzsTrPjIbS3u9fj/cmtt66fuA+Hw/41dwGRtm23bIIAvoDkUf+xqfud1/dbL4N49Cjzzlc877vnbHeCDCJv2Gw2PUiTJAnT4RSdJv17btv2jjFcpCulXlHXNVVVUZZlHzO4+/PSxATEXLYVoxK8CdPnMHVRSqiUIL/u41YCCLKrs49f8fP/kLovUhNjhAmRGIllQVmUdjgvEWd1sybG4N0FTtwOgGXZbFY9yBHv3eh9EK/7+2yJCDK9f/jO9VOP+PxEkCD+TNOsyLpV7/CrlWYynZD0rA75GbUt+tz7+B5+cA8oSHVs9OOGSqARBpMVIxOiFomEcq1ksaZpKqh6JrTSuvGs/V13ba1lIq09aO/7yZHi7v0qE6FA3dcGjKLzLcN8DNMprHKKImM6ztisV7y5eEerFPfGY9I8Y9NUNM7SqRBvlaR4a6ltR9U1lKWlGCYcHhxycXHB27dvg8wogEpO40OTe3BwwP7+PqvViuVyyd7elLOzMz7++GOstXz39fcsNxVpKuvgarVi0ylWjWNRtlIYlyWuqfr7Lpp/3v2S4lMpizYek4BzDZuyQZuWJG1QxjLIc8ZFTp4qvK0pN0uq5Zx/9Ref8/EHj6nXK7q6ZHlzw6urC/b39zj7yU+4d3wstL+rOZvrFZvZAj3Q3Lt3j8enjziZHrFZVlxc3TK7vaVpGtIkZW9vj8NhwmAw5Pb2lsXtjJfL52gH+/v7HEz2ONjbR43H1GFtODs7Yzgc8qtf/Yq3b9/K9GK1YjQccDufsVqtUErx9OlTiqLg/v37DIdDVn3Ml+vjnYo85+r6ivViRpFojo6OOD2+x2QywbqQFNB61pXl8vKS333xO2ErOcd4PJZ9pqnF6Vdp2uB8PUxC2sVgwN7+/g+evT8d/3zH4c75VkijVjeVrDUBFG6airau8ChJowiNC0qxqWrm84XsuUoa5oODA4ZDiaErQg63Dvp9vKdpm0AFTnDOUlWlmHGF9BxC7FHcZ8BjEs1wkINKw/TQBrqxSJAmY5m8uKhRZwuOq0C5dk5y2XWqGI4lJlBAA3unhkmCttrajqaViaPWaQA/ZN3O84Q0z8PPkzV5OZvTNDVpmgQ3dllbY0qN65svgpxLmlIXPFDwQvSWRmprcmyMTI0PDo+wyOeIiTImMD8N4piujUEBidHoEFkVDa2AHXZZsLXTO6w5I147cc8R1oQ0HXEKT4j6usMwDNcq1hPOO/IgWfT6h0xEeblI9ZfXK4oCBVxfXYnnUEjrwTuGg1zet/Jh2h/ZDSEEUIkn0XYcLO8XBFRouygU0Bid9vdj3KO3pVhkiNS0rUQB60T2wJAdAMoFirS4zoMPPzKwV8L9GhlzMe3IOsf1zU0AjwhZ9YbhoOjvwzuHF7BNKQG4IufG+cB68MKMQolzftMG6ay1wSHd0bQ1bXiWkyRDq5zpZI80y/AIm49gvInXVFVDu6nRiWG6P92CDirww4NcRht59neWAWGsoFA+sGlDZJxRW1mo8h4b2BpKybOrtLANdah15LaI4EG4OfvzS0iQElaAJ3oGOKz3HJyekTUDMleS+hajFK/evKOz8OTJYzlfzrOYzYMcR1giWZZGpXxcNnj64Qe8ev2a1WbN9WyOTlNIBOBwWmM9DMdj9o4OaZ3j4vYa5T33jo/5xS9+yfX1LTPvsG1LnhWkOhHGhvJUbct6NmN2M6NrWpSN90kAuVxktjg8cg4Tv5X+OBXvVrkdDcIGSI0l15AmHu9anKs5P3/F3/13/5qHD+8DHVW94fr6msvLS8bTPT79/OekWYZTYlZ8cXXF5dUly9WCh48e8vSDD/DeMZ/PefXqFRcXF8xnM6Z7e9w/uy/wlvfByylGPjpOT0/Z3zvk9PSUNM+YLxbc3FyTpSlaKZ6/eM7Lly85OjpkNpvJGty23N7OWK/XHJ8cs7e3R1FIf1tXNc551mXFze2csqophhnXt+eU5YLpeMiTD54wKnKU1sLgIACaGFbrkhevX9K5Fk8q9643aC/JEKjI5BQD87aumI4HfYzlHzt+tNFfruZhktvStttsUx10UFnMuA7IZ2yGYgMcKfzGaAbF+E5j3DQNg8Ggb/hHoxF4Q2KKvhnadQSPUXs/yJEm6myyHa1/1zfxuwt3/N7dxlUoHFsa7B+bbMefH6n7u/92PB73DU9n6E32dhkDu54AOI/uts77sWna/fcAJktkZdo5drV7WktUhU7zO5PaOPWLzeJu0x3PmdYSXRVlELtAwPuf2/vtJr4L5sS/j6/7fqO/y8aI3y/xa2n/GXyig4vnFmx5H/Tompbrt+f950uSJETZ3X2vrZUiIe3fo+kXm933Px4OfgDY7MobdpvoXVO9P5bikKSKLM3I86yndnrnRWfXVmIIFbI7E5OQpCnGKKEcBxCmbVq6EF0ZWSSR8RIb9eVy2Z/H+AwlScJoNGIwGNy5rgCrturvt1gYxvsiykqSdoPvNoGMIJ+5acvgh2F6vf6sTVF6y3CJbI6YDhGz6QeDgaQthPOX5zlZYgKi6qBr8Chp1H0wKuogN8OeodB1Lany7I2Gd57TXblA13W4zjErW9pGzm2e5RRFHsA+2ZylyE1IBhltuebs8UOavGZ9/j1WgclSqq7ldrWgrTakxrBerahtK8yPpkYrxf7+PpvNBusFrCvynJOTE548eUKWGZaLDX/48gXWOabjMV3S8eLVCx49ekRRFLx+/RofnPPH4zFHR0es1ivuHR3y5MN9Lmdrbv8/f8/V1RXWFDQqxfsgf9p5trYT5rugS5ImDEcZGo11DVW1xnsjRYmtabqK6X6O0RZlWwbpiMXmlovXL9mbZPzss09YL24pNwvevHhJfb3m4ccfMjm7z9x2nJ+f47xivVxTrTdMxhPOPj5h/3ACtayDq9WKt2/f8CY050lqGA5HZJnoxpbLJYvFgqO9fY729pkMR2Q6oa0b6qalAW5ubnj69Gn/eqvVqmd83dzcUM5vGI9HnJ2dMZ1Oe0CuLMs+lu92ccO7d++YzeZ8//0z9idDzk7vcf/4iOODPTTy2p4WQsG9yxRK05S9fBLu9YRUSQG8Xq+o6pr5fM7e4QFFkVOYAft/avT/RY9yuQYFZbmh7RoUPmRhi7wwNZlMrztLrxFWmk0lJmReKQbB0E4FB3wBniMLUZMkhuGwCPuQ7pvlrhM9p0kU1rakqSHPM2KykHMiG0izNBh3qUCNFskA0OezE2LgfPg+35uXbVVLzjksVuL5zLZxRCF53gGUUl4m3buTSa92JuFBc229xQdDMKXg6N5+qL7jGht+6SNVXgzMNlWFMiY0aoosD/5DHujsNpFgZ/9JjLieEwBZnUBqJPJWqMyyD0VmgLViqBfNh+P6FqToOJkHiy47sCkkzk4ABOvEbLcYjFAgiSuBgi/GaiIRAJECOO9k3TSyzyTBF8mxdc52gc2zazKnlMjI2kZow2kq+340e/YuvtMdtrg2Qrv3KsQEi1lgNE+MM3Exle1CZLMKe/XWRDfWFrvsPfleAXmV1gyG0YTP9NcfxHNgtZKYMGmUJft8MhqhvKfcrLGdGG9bK681LJLeWDdI+FFazsnV1VVfp8q9orCdxMKKYSQB/BLGoFDO6VkzbSdDEOc7wApwZlucb8XY2pYY4+kWNyRmQJJIPaSVBitT2uhXoRJNU2+koSc04UbOeaI1ziTy/GiFToTNOch3WBHO01YtXVP1oJFSioHykDpcsqWba0QGIIQUH9g/jq7tWKwWeGvJ0ow0EyO/osjBd3jbkfitJCYrMg4eP6W8VJTXJU1nMQiQcX55RZYVZHnGd8++x7cdo9FI4j2BYpjTece6KjFJymRvysHhIZ98+hmX11cUkynfvXiFD/5Xq9WSt+fn/OQnn6ATw29/9zucguFwTJYNOD09Y1CM2JuMONzbZ3Gz5H/5X/6e333xJX44ROcDkXR0VkwOtdyzHkJoJsEfQeO0gHbD8Ug4Q+H8+ABtoR0ZjkxbMu1IDRjd0TQlr15+z6OHx3z+00/p2prr63PevH7NfL7kk09+wuNHH3B9PaexHbbccH0zp2ktg/GIJx88YTwegffYzoqXi4fzi4s+1jdJEvb3pwwGg5DY1jKdTHjw6EHPgqmqitbGCGWYTqd4xBfBdmKg17UtNzc3LOcLRqMRn3/+U4bDIVGKo5TIamezFfObNRfnV3S24+XL75jsZZw9OObe0QF74zHKelznsdaHZj+hcwmruubdzQWts4yyCeN8LE2+N+ATlHKsN5KINBgN2T+YChCo7/Ynu8f/TqM/6xc9Hwrdvb19JpNx39iXm5okkQcnNo+7rvqR9u6sCeDANg4mNoN9LJxKyTPbm030qDn0+u7oKLrb7Hvv++YnFoB9Y71z/DG0VjS020YQ7uqZ47E7uVZK3TEBlMVOPq91tvcE2I0D7BHvYFQRp7HGmK3OXG+1/K21OLsFJOI0+A5F3gkadgex3vn3/bQ73Uor4p/leX4nAeGPTeHj+4tHBCzej1H8Y9T9qCmGrY58l3lgrYVUcm0jFf999gAIg+DJkyc7jBJ7x6QuHo2DzkqR19mtY/GWwi7X6ub2VqLGgjY/0t//2H0Sz0sEnuLni03/eFKw2ZRsyiXRlCjS4OX9+kAt1ZQ2yitsryPfncq2teudm2NTvRvPuCsZidchapR335dSirQYkyTcOWfxmer9MQBVZHc+96Zt8W2zpaBpDdl+X+wC/dR0l13QNjW23twBgtpyZ2LR30BJP2GJk4Z6s2QQ1gmltcgvrEya0jSTaLROioFEy3RKzrPE3IlWs6RqKlpresBMa41rE2xiGCtobMfpwzPmrLl4+Q0KT5oNma+XDPb2WS3mvHn9mrpp2N/bk6guram7lqprseH8/9nP/xWffvYpt7e3vHv3jq+//p7z83NOjo/J0gl/ePF1rzF//vw5i8WCrrPAgKdPn3J6esrB/j4jX7NYLPjtb77g17/+NbPZjMHeEd4YCEwFtXMv7jb6u/emc5ZNuSTRljQR86k0GZBmhs56ibvpPDpN0F6RKEe9XlJvljz69HMGWcLV+Rvaes0gT9g7PWVvb4/ZYkFtNBOlmM/m5CbnZz/7GcMkp81Eg9i0LbZpmM1mvHz5indv33E9mzE4ESbY69dvqA+PuHd4RJ6L78V4PA7TUnm2r+ZzukTWp/V6zXA4pAgxiJHd0jY19++fMhyKdj7Lsr5BX6/XvUzqm2++4fvvvycJk7kPP/qQR2enFKkh0b43l12v16Rpjteeq6trnj1/1l+nfCjeHnmRU4Q9Bq2oynILPicpJk95H/j70/HPeywWC1CQZymj4ZAk1Uwmox2APJh4BW33xfkloLEhnzxLMoajsUyoQ6Mfm7X4LHWdxCPpnUlwD7RhsU4M63S/VhuMyVBRf45Mwelrihj5FqZe0VhMRQ14mOj7Hc16KJy9F1NOmczKP9NaqMyh56eq6phOLTOh3feMCZNOiR/1rmOzWeJDgX5XGajQu79XKvwrBQgdVylD5zy2bTBKkxpNYrLI20fJYBpjNMM0yCc6B50NFP2g1w0/OtLwlUqwVgXAoyeDo8N50JEdptTWZV3J0CRWeG0AP94bVYgjdmApeO8xaaihQlMo58n1jbFWSjLh21Z06YEdFtMWtDFM9/YAMPsHQf6wnYg75wP404T7ydG18hnzVPwhpOHdre2iFC6y4YTpsAm1b6TbE4CtnUsWvJMGck/rCBq4wBhsAg1+KzOJUYBt53j79lZUEJ2YQPoANjikBvZ4iuGQNM9kkm22oFd8XyB1YjbMWW9WbMoNRqcCcBgByjy+l2w454L5oA/TXo1na5znw/X13tO5DkdJY5twbTSpEilkNCBUXuGtmDyiHLaDFnC+lNg2o1FJYESEmmXuA1iA6sEthQqsRPFvNIMcE4b08WR7laAwGBWd+8UPQmQMNngzCLOkcx2rVd07zScGlBcwySpPl8C9B4+46kpu370kRfwCDIrbxZzEGC6uZfLeeStmos6DNnRC28F7z+OnTzg5PWW9WXNzO+N/+8//he+ev5Q0I+Dy9g0YhdeKP3z7jbBWtLBhptMpDx885mBvj/FowGw25+//03/ly6++YblcUaQFWYpIQXSC910PDDqif4ewVuTEyVq7WC3R2jAOnk8Og8EHE74W7Vqy3FBkCYnxlFWFsxWnJ/fompq6arBtg+06Pv3JT9jbP+Trb75B65ThdJ+ybiiGIw6mB6RJSp5JBK73nk0p3j3Pnz/nu++/I81zdJLSdpbvvvueTz/9CXvTPbm3iwHayLMnEhJHvZF45LIsOTg4FAlFmrFcLnn85FGIZ4Wz+/fZPzhgNBqEeyTW/WI4aa3nxYtXfPvt9+QDz2jqeHzvkKcfPhAAKvSdKBUGDoqm6Xj58g2//+orluWS0WQo/aISSYn2wmJ1KDordfif/fLnLFcLDo7u8WPHjzb6w+FW8xQbwfn8muXyFpAmOU0KptO8bx5Ho1HfmGxd8Q1V2YVN1fRT0l2Hc+8Fn43NZzx26fNxYYlO8HHKudtAxvcVv3f32KXqx0MizPgBdfuPHbuU/12Kep+vvtn0dPs8z8myrNeSxwbeoFDdXZO/yWTSN2SxEUvz9AcT/V1AQrTREI3X/lje+C61PhbFkWkRJ8bxfEbwYfeIoMwP5Rt3G/14ruNXBF5iYey9J8/znsFhrQ3GWmLGt3v8wHBQacZpfufnxvtn91iULZ0X1sBwOGSYb5kOIBurxnN0eNjLGnZBpN0jsg7iz2nbdhshuHOu67pksbhhuVyCUrLgGNPD1yoUCs5FRocNFK5OqOFG4iON1mg1uPMeYmO/e81jbnKUXUSQ7A6IozW13bo7vH9dlBLXcp0WmOK9nxk2KlQoxAj1lNsa9kUmQWQJtK04misrebBJImyKzWb93jVSdK0UvtHsMMsyptMpi9kNm5A04LFk2V3gKIIe8iUynPF0iPWGtpUJS9O2zOZLRuMxaZKw2Wy4XdWsXcp+2vHs+hl/9nDKR6fHvH35DYv5nCSp0GmGalvaumaxWVOWpSCp4xGJSlhVJWVToRKDp+P43jFVWfH//l//n1xdXfD998/xNmdYaL777lu+e/Gcn//yp7x48YLXr99yeHjI9fWMBw8e8Hd/93fs7e0xX8x59v3XLNYb/us//JZXr18LYNJ2eKzg32ET+N87nLM05YosBUUuJoVWozotCHpmGA5z8sSgnaVINfVmBbbl5OiAcjVnNb9hUKQ8fvyQQu+x7Bq++8NXZIcHHD18xPHxCYfjQ6bpiMRB5+rgfF9Szja8evWKX/3qV0KJw4cm/xWLt88ZDYbsTacc7h+QoCjygmotaLS3jrppePX6DVVVBf2c+FK0bctmsyFJEpFBjPLeqyHed/Goqorz83N+/+WXfP311/zss0/59LNP+eijjzDe0dZr6qbChBxaEPCx85oXL17wD//1H7i9vSXNJ4EVElzOE5kQVG3N9fU1w+mEvMjJ8pwkz/6pS/Kn45/pmE7GYcoo6RzeWVbLBTFK1Huh/aZphnOeyd4EZyVmTGlFlueMQqO/2cjapI0JTbULbCcrk8gg9doahUqjHp3y8zwNOfKGQTGiaYKZXc9E8qjIrQ3T67gXhHYsNHzSmLXRc8YLFT7LMgbFAKc7fDAobZpKaNMOyf92niLPUF7TtqEeilN65QKDQCHxcy0Kx2Q8Qpkof4pO68EgT0n95KwNTANoOos2ac971oEt5zpJEPJd1zMKpFMVJ/ssTNHKdUnTbsQcTUszNxgMaZqG1UYMp7zfbZSF5SB+CwLqeu9xyoN2oB1aw3A0QnmomzpQaW2YSgfWhIqxdKlkxDfxeid9I0mYvpvEkGjNalNRd1I7JcqglA85DV6iYsM+K8bUksIiktMwDHMRcFJ0nUSkaZ3KF/SA0rYGlTtBJoGBRWEdPsS5yT4fHegji3Q7jPEQ0eDeJ8DajtntnLpuSdOc4WCMuPYnGKNp6oqmrVFeDAeVdzS2xlnHIM/Z39/DK2iaOuBRMY5Q6gKlNHkhqROxHhezvyGbTRkYEXI/JYkMKqJEIM+kF2i7jvVmg0YFuYtGKYdWaU/jkCSETqjudmsomxVZYMxk6CS6/AtAs9ms5Hp4j/UCFyWpAA51U/fXBh/lMvI+8yyjSDIaHN63OCxvq438+/CceKWCMaTi8OCI8VDOa5EP0UaTJYbatriulfNnxZhxUKQUicG2LW1TCUjoLb6tON0b8ujkATfn72haceDPTYK1c7SGqmlpqpKmbZmOxigvw6y6aSnrhkRrnj75gKqq+a+/+g3/+MUXvH7zjnw0xivDer3hdrbk/v0Tvn/+grJuRC5hPft7B/wP/6f/gcFgwOvXb6g2JVcXF3z/7AXvzi+xXbg3fQAkCczPsJZF5lG8B72ily6JjCkMpbQLfy9+BUZZMu0pjGI0zMjzhPXqmvFgyPHhIYv5nPV6ztHBAR9/8AnT/QNmiyUvXr7i8N4xT7KEB/fuMd7bE88T53vgrG5q2qbl9evX/Ke//3tubm/JMvHLur2d8/LFMx49esiTp09CHbBly9jOslqvqKuG12/ekqYZjx6p0MeltJ1o8mO/Nh2PQy/T9bVw08jQbbPesFwu+P7Z93z77bf8/Jef8LOf/ZQ//8ufkCZQVyVN6F29AePF56ps1lxdXvHVH76m7ToG4wnFYExTVdBZ9kcTnFKsVmuWyw17+we0tmM8nYbb+m4vtXv8aKNvXRsQch+yukVLGxvs4ahA+bSfRgO9g3l0L4904zzT/aId/w7o9fMAaVKQJoO+2dt1DYftB8myrG8Mdif7caIZp57vN/p/jJ7+x2jb70+2dxud3UZ/93157xmMx1gvbv9xoh2n6f33okj8VisvBlB1Tw+PzZzK0h9o9Hf9CgSdVXc+c/QCAHqPhM1m05vNRVZEPN9xWj0cDknT9D1aGD3NOxqB7U7Td5tLuNtQxvsgnse4uVVVxWaz6d2zW+XRibmTNvC+8z/e0zZt//P+qdSAw+EeKsl64zitFFUtzWd8fa2guj0HtiyDPybViMyU3bSBXQmGbCaOqhZNsseSmASPpWk7drPpO2v7yX6WSFau0O2TYEwjlDTviv6148+eTCb9tGoXPIsSlK7rmM/nPasinpvEFH1Rsgu8wDYy0asO896pJmo/Y1HhPIU3PbU/3oOXl5f9fZokCSZRqG7LTnDWkqWGNCnuvHxTS6OfJmkwlVLMbiRCJjI6klTRtbtsBxiNRmjlI4ETfEe5WLBaL1mt1igtC7I2ildhKr833WNycEau9xnrmtUqw2vFJ599RmEs5+/e8tXX33Ezn3F7cSF6qcRg0oS6a8kChXFdlRKH6SU+xznLt999yxe/+x2r9YK2cYxHU16/fs3l5Q0ff/wBl5eXLBYLnj59zMuXr2nbhtFoxOnpKbPZDNXV7B/s8/iDj3h9cSvGeJ0iSVrQGV4n73Mh/slDK8mhlcfe4lxHFyaGaWZJc8NgmJN6g6lbRsMCo2AyHjIZDVnOZ0zGQ06PDzg6OMC3Ba9fXTGfzzk7OSbPc07unzFMBqwu51Bb2qzFJeJbcXN9zcuXL3nx4oUwRdKUtml4/fo1H57c49NPP2U6nZLnGV0pCRJ4MU9rXcdivuDZs2ccHx8zHA65ubnh/Py8T54wxjAej/Bt2YOYEXzz3rNYLJjNxIRvs14LA+jpUz779FNh4rS17CPegev69eSrP/yazgnb5vT+fZ69vGC6LyBhNBIc7hdkWnE7m7HebHj09AmT8URibBLdA4V/Ov5ljrZtwsSa0AjYUJcEm6rY8FgpuIYjacSTNAnSqSSs+wlZJiBnBDR3de8+TKvSNCPPitDoi1M1YgsGuP59dLYNwGYXmhskhk1FzxLT639l+iefwQQ6uycY7aKEoqkC4O58AP6chLyFLHLlVP/r2JQ7G/T+3kGYAOF9P6lOjQYNm3qDdiKnRBuc87SNgMVZkvWNpZxQLfuakvfovJwn1VlwcepuwiQ/TPWDkVvbdnRthwogv3eeslwD8OrVazabUpJNjNCB7x0dCUCgE9IkDYAC4TwZ0I5NuWG9WeN9x2a5lvzoAEqbMHFXYYJslMK7jraVhiULe2ZdlWHwkDEscrx3rNdL5m1LEwzPtDEUaY5PwrBIb5kiymu8E3dxqbWUOL/7reeCUoqiyMP7TwBDLOaUgjzUYc47Vqu1ABPQA0pRfC33Y2Qv3jVwBgGOrJU0Buss1ovzvEkMoyQNDb7s300jHgJgSbRECmoMGsckpFxpJSaMaI3WYujcOSuytZ0koN4fIk1JkwTvFVqnTPc889mMpm3J0oLhYITzjiJN+nPjPHSuQxsjzIFw7+JBWfBR1K0sXpc43fRDCwUkXoFLaNqOLtQ0hLrAGBW8uCxtF1k3Gd7ZHlTwzoUprgMvbBGspXUNKEvb1UAwVww1uiImNQhvZrPe0FUtCoUx8rzn44LNaknXNKR5hjeaNNXM57fcNg2j4YDxsCAxKXhLuWio246/+Tf/jgzL5euXvH7xnKura5LMkCTCGMiKAR7RwmsUy/WKOux9XWcZDkd88cVXfPmHr3n58nWQWWbczhd8++13HJ8c4fB9AolSmtSk3Du6x97ePu/enVOuNxweHvLhBx/x3XevePH6Dfv370feT3+G4+f3QUwj5yYwNsL9a7Qm0YmcY+nA+7/X3pMqzzA1pImiyFNGoyG2s4yCIXe9KUlVyuH+IXv7ByyrmqpqSJKU6f+Xvf96tizJ0vvAn7tvdfTVN2TKzqzMUt2F6ga72ApGkEabGSNnjGMcjNn8d+QYnmicIYckxmwIkg2wCbIJgIUu0SVSRWaoq4/e0t3nYbnvc25kVQFGA/qpdvetiIy4ce45W7iv9a1PTA4YDoYMhwNs1wmTyQuDprOWuipZLpc8+/JLvnj2DK01TWtZr0s+//xzxqOcyWRCnotTvd3r5dI8xa0ci+WSzz77jI8//ia2s7x4/pxXr14zHAxIk5SjoyOGgwH4EAkeOEXWWlarFZvNhq6zvHjxgvndnDwv+OCD3+HJ44cYDevVSnhLnaOqG3AK11a8+PI5F6+vaRoo8kLioT0MhwPquqLIcrIiZ75YstkuWSwWPHjykCwfkBdFYMv879Tog5HFxAnl2NndRC/NUtHZWNEGxGYwTQU5zbOMPC/CYmhZblb9RHA4HDGZjENTKJEzdV3TNhZFI/m2KNIs7SeMUTustGK5XrFYLFguFqK3Cjnpg0FBUQwkykvvtOIBnu8pnjsqFOS5dDuCdO1o1+GfoLXGOnGp3p9gS4Oz0zMbo2mbKtCUHHmakCW63zgjpbtuLcttLRu21qSJaLe1UrRdR9OKRpjahAeMXjcnTqpBN6g1ynn8XvMf9dt1Xd9jB8RGPs+LXsss3+9DsaKCFnwpD2+kZIWYG9vdz/E2WmLSIhCzkzTsOfEjuby7z2nQCjorNL7pZAyJmPL010M5umrbo6jxs0Y6e2xS970eYsPvkhwfImgIP382m9KGKKzVaimLsJW8TR8oW1mWSb6sj5Qx2G431LWYoMXmIp6zOE20tkNpMTXUWvc0SJPsmCHxfu0b5fBLlmb9uY3nzdusB7jiz726uuqv45ssld4XYu/PozdBNglO+Xvnwhj5szTLyIuC1rbYYN7RA1WTHK122c3OWQZBexTjp+QzJjtauVIY36E7hbUdbStTBYkLug+05akJ11bu334T0IokmDJq7bC2JjFSZMrnhK5pJMe3FVCxNivu5rcsV0u5BggocnoyJU3TsJ5s8MVYPEJGUnRMZgf84I//hK6usP/F/4d//Bf/E+WipB7UDEcjkjRnOp3KOUDTtR1Va9nWDYnJKYYD2s6CTthsK4bDCR64urnm8dOnnD99xGdffM75+UN+/vNPZIOaThiNhhRFzmg05PH5u/j5LT/56V/zz/7ZD1ks14yPzmicBW/xWJxSPYFfhYljH3HVY1xyHpPBEI3ExbgAOuW5RusObxu6usTpDJMYiiwlSzVFOmY8HmKbNacnJxweTKnblqYy3C7WDIZj3nr6DocHR7R1w92yZJQPsL5h09TQWhbLFfPliuV6i9cJaMO2qsgKMTss8jPOTk/E6toL9bNtWuptydXrCy5evYLBiKdPn/D48WMuLy/4R//oH/H5559zeHjIu+++Q5ZnYYq5A7si8LpYLPjyyy9xzlEUBYPhmHfefZ+PP/6mAJdNjXYd3lqatmGzEkqeMTA7OKQYTpkvSrLPnovGN88YDQoI60uaTciLgrquKYoBR8cnDMdjdJLilESV/fb4Gzy0wnmHbTuct2iNTOy0wfo4rdtJjESSJT4b0a1e1vCW9abEe0JDKVrkyURyxpu265vV5XIRGixp9r2XdV+buJxrnF2z2ZQslyucE7d+KdZipremyHMGRRHoxkI53ywWtF1Lb+iapDLRJ6zJWBwdret2EXRaYVtLW9a9cz3K9JN2WTUskoseMuaVgASuE/kTGryzoBW2E7BNJtXSZMu+K/4qXmlpxpTvtcnee1JlSHVCquUzKi3gA05MhJvtRgYFZU1T1TjbsQ1/ZrTQhifTMTqJEcnQT++dDx43Ei2YBIO5znaokLemkaliU1V0TrTR49FImKVZDiro6YPeViPXME1T8A6joOsa8FYivrIC61UPZnRNjahBdJAlRJ8UjQq+EMPBUIAaL1FlPsQngiShGBM8hxBjx84KSFTVtchiib4K0kChhK0Sh2Db7RYXjLeiZ4BS3APe8TtQHB+A33xAYgS0wYt0JEsN2hDkEI6A+6DwzGYTeYa6yDqUQynFarvB1i2d3flCrFZrbF/zgQ7NJR6aJjTIfoNSd+JzMxvLFD5Ng2eCZjyZ4byis8G4zimUUzHNTu7RZA2mkfsuTG5t1aLQJAEs00h8skL04QKkia+Dcw7rLGDIspRolC/PCRiTogjxvVZkC51tQBuyMIiwnaWpW7SCwWCI0YlQ8K0VVowW0Gczn7NaLbFdS5ImeK1IspQs0RTDKV1bs91umE7H4XkJbMUs5Q//8A8ZZX/M3/9P/hP+1y+foxMCE2/IdDoVM0MHyns2GzEAHY0mlJs11lry3LDZllRVQz4UFszt3YLzBw84f3DKdrshHwx4+fIFznkOD2cigxuOODo84eR3Dmmblp/8+Cf88x/+EJSmrluUMqjU9qwKE673LpUhSJVU/B2BuRQ5ALv0DKPEaN1oMc5W/bBQhThOkcykWcKjR+ecnZ33+2vbWaazA06Cma4Ovl7Odmh2JumbzYZXr16zWm2EySTNBetyy+vLS/7sj/+Qx0+eiLNHZCR4R123PH/+nKvLK7xX/MHv/z7T6YzNZs0/+Sf/hFevXnF0fMzHH3/E8dFRD/BHAM6GdaosS5598YxtWZFnI46ODkmM4Vvf/pjhMBf2WduQJRlt3bC4XeCdeD8MBgMePXpE03o+//Irnr9+jccG8EpTN+J/N56MuJlfY70jKwboJEXrTHwu/vc2+ofTt+7p4CGYqHm58C7dUdjjBH2/KVNKhSZrjUk6klShtcXaDevN+l42uLjz54yGBzJ9NRKvEHWaWZ6QpvI+Xsyv2VRbbCpNbJzKt52lbJa4ypEnKYVJ+9i92CBqrcnSLCDPHroSXHAAbTu6rmW5XPagxGAwEFp7XVNuS8BLZF4DTSVZpypN0UkCNiwgYSPyztG0LYkx5GGq3CYpi2zWN1NVZ/FdGyYVu6+RzVFOCVJrxeHSa4/3e667vkObptetxmYv0qKjUaAx6W5DUQprdzQxeR8VYMmKnQ5d69jwdWSFptBB29a54A0gNCffNXRhGrubPANe9+8jNSl0bT/Rr2uhUWl3AX5D1CjiDU1tSZKCwWDMYDBCZwOa4dG9iXr8jPv3DiG7dH/qv1ndUNc1ZVnhnGj28+Fp/z3x3nbWhQx7AZmc6/Yyknf6+Dg1j6wJ70f3Xis+/Pt/FtkcMoWU+MWquiN6J0Svh7q+uydP2DdnjF95MJGJevv4jO3T241J2LYdtm57xoZ4VngSRYiMHDJoLdSiW2zahqquSLpQnISIJ49HT+XXqGHy3tN6v3uvncV4yNQAnRnMwIghYgDb7i02IflCItiE9bJpLSbNyUais0q1J6ft2SR1XePeZLLg6TaXeNcy8uDrLZtFyXA4RDWQj8eMkpzStyw3L1CjIcp4brctP392xd/9we/zcDbm7vvXvPr55/zCLVlUDV5NSFTCeHiO7TrqrmXblqzLjrqGD96aYlP4xRfPuV05dH5KUowo25atq7jeXPDqhxuePH6bVy9ekiUT2lbAv8ePnzKZjJlMR1y+vub1Ty75//33/xuffzZnNH7AtrX4gcanls6UtDgmXYLxCRKF5aTYdjJNlFFkSuczFj4nTRQD48m1xWvJck5dR47HrGv8eMDo+JhVcw1ZR5Zo5usFTx+dMzs8wuLYtI4X9ZBnq5TJ4bvMpo8ZqJGYJCWOTm1Ytguef/UZ19e33NxsGQ7PGT7+But/8TlVm5CkFVp5tG347vvvkXYtZbkFM2F+JxKNi4sLnHMcPj7m6OwBy02J0i3XN694/uIz2m7Le+9/h48+fo803cUvlUEn33UdV1dXPH/+HKUUH330EcYYfvjJM04OD5gdP6BrajK7od4sWCzXzDc1DSk6H3KQG97+4C2ytKD+5AtmswPefvqI1XLF2fRdZpkjMZo2cVytbrkrtxw9eMTs9BHp8Iiyk2J62/x2ov83eRyfHe/tkUEhheyJ2+1WJq7KoJRoUOP6mKVxb0zonLgyOyvTrciosl3H5YXENt7d3WKtoygG4sivQ4a3AU/HaDRgOJIpiveeL774Umj7zjMaDBkOx6xXwqIrCpkkN1VDV+3J0gJF2Sgf2EpKRuZKjPnarqZqSqx3bDab4PotBVtgwQrQ70PTYAwquNDLZE1BiMpLTIJONNABLqT11CTDIePRAKNCI2UV3inquqFsapQ2DIYjtEYMt0IR752j7lrqQJXXIJKFMNk3iUEniUzZtaIoMiBlOB71LDaTJKTB8HC373X9rzLileZhkA9BQ1WXuKrFqIThWGKLh8OhGA0GqYV3jqYWkKALenOtpbFomprRYCh7nFG0bc1ycYuto3xAKN9d1/ZpCyrkt+dFQTEYiiZ4OAJjcBi0SVHakBqNMgbXAmFWrr3Ct5AVYqC1Wi4kpcrGgZNmkA97sCk2MCDTxjwVmUHXyqQe3mjy0RgS8W5QKki+MqIBoEKeBanRI9uiFQDHRyNFz9XlTf+KUnPYkEsvk/E4yImsAh/idJwXiaBSDm8FrJDoW2HPCG1a3r8AHQ5trDBEVEOiM5ROxZciNGW9PIbARtEp4qHgUd6gigxNIoMAJbKUOnoZIA76BNBIh2jFeL11EjwQ5E0Tky3bugmgDoGBaRkFlkOWwWAQzBmdwnXSKygEBCibBb6zWC+wnLUW19Yy+OsSXKYZFhkqSI28ksZXKxmMXN9c891vvM/D4yP+w//g/8xnn33G5fUFXdWRpHJvGZWK/ME5ys2athH9+mQ6wTnPLz75lNu7OYPhkNFkxmZbcn11xcn5GZ99/oyPv/kxP/7RX+Gtoq5qtNM8efIWT996h0FWsJiv+fKrL/nv//s/59PPPmc4HtN5T1c3eJMCita26CRFTGy9SHmc35v0Exg19L/X6GDAKetRoiExDq0TYU54j9YJeZZjtKdrWt5++ymn5w9YbRvW2xIM3N7dUgzGjCZTAcGc5A6Udc2mqnh1ccnzF6+4u71jPJ1ycnaKUgbvtSSXJJrD4xkffPwh2SCj3G6lxnditPvZZ5/jneL8/AFHh0ckxuAdfP75F7x+9YKmqnlwesL7777LernqDTt9AO9WyyWXV5dcXFySZxkff/RNhsMpt1cL3nrrKUeHBzi3xvsG2zXMl2vKdU1dNqQmYTAsODs5w3aKi8tbjk+OODicUbeWg6MZw9FADGaNo6y3vL644OT0jEePnpANBwQaUJBb/OrjNzb64/H4HiU86oKFDi2bZ9QMR+19jDeKenBpfBR3wakzFuqEBTj+++l0RpGPyPNx77weqe/ReGy1WuG9ZzIeUxSiwc7ynCzNqOuKTiGUrOGQQZpB2wXjEB8M4CJcqOhsR9e21FVF1zZfo9vHIiHSimODCkKL3+mTTK+/j4BIT+8OC2R0Us/zHFOMSYZyM8VJtsRweNpu58Kuk72MciOo4ZvUKedarCv7pryLhjN7XgNimljjPXvUfUPX2V4/L9fE4lXVF9L7evye0ug9qVdg7+v0t9ttL8eQ109JE4PzjrLcsi3Bhgav3KNp56bE6JZdo+/oOk9nGzq7oaxalNniRr7Pto+O9Pt0+0j5j/dndOKOG1eeZ4ENkOFdMCbsNz5H2wlY0NlWTHuwqID+70cW3jfQ2RkyxuIzyjDie4vMgyjLiKyKaBYZvyc28fsTy18lF4mAQWzs8zzvP3dfIFgLOpWFyAVTIaUY5Ln0htbSWItvOmjlHMV4oE3XhUJMTKa0MTKN8TZQ78I5ULHgk81eOehwqK7D6p3ZY/KGWVkTGDU4R6I1Os8ZhmQIFSb92AYfogj3TQZj4x/ZDbkxoHf3aqTgbKsKGwrAYjYjKYbYcD8cjoYczA7Ae9brNQcHh/ydv/NnVP/TP+eHP/wr3HjE6fm55PEi2sJEK4ZFzmyY8+4776JUwtXVDc7CZDLj6vKKpmk4OT7DJIZH5+/QNgIoTqdTrq5LPvr4I773vd+jKApev37N1fMrfvbPPuHnv/wFq82G1nao1NDLaxFfpfv0fdWvm/u/916MplKdYDKZ2E8yBfUGZS0nh4cY5RmNh3S24/rqSgAbjJgChilYUzes1xVffHlH27a8//53ODs9QxIkapxrWK7mfPbZp2xWtxT5kI8++pjJ5BH/6C/+WS8/8sZSNy3D4YCj42M2m3U/fb+4uGC9XrPZbPj44495/Pgxi21F1QpT6OrqSkxvnj7l448/ZjgULa9Wis1y3a9Hl5eX3N7e8vTpU46PjzHG8Pr1a5LEMB4NsV3LallimhW2XPP8+Qte3y44fvg27z96wunRWCaZyw3nD875j/6j/4gvnz3nP/vP/t9sNhsBdq14yFgHaZpQDIrgCg5t02LdTn712+Nv5oia3NjoC9PI9e7TRicYnaBVAl71+2FZlSIrMUIhXi2XrFZCI4+EP2EqSprLeDzBaE2+1+grrTGJmGrVTcXd3R2i69dMp2OJdnWOQTFkNJqgg9vdcDCSKaBwoPq9QaivUrA61/XTxLKqsFaSBcp6I7n2SqGT2ERp2qZmtVyifWh+jEEF07HIIDMyugwNhaNpWiwdrRcZwCAvsAcHTCZemAcaaRRDbScmhqJL9t4JC8toUiX67ASNsh7lfOyr8KHZ996HAUXUlIuBlddvUs/ZXcfQaKPoDbLi963Wyz2AU75vuax2NYhz+LBf+FizeKGWJyGJxbUdRZGz3WzxriU1mqapWS3vsK0wLHvWmlLoVKMQijt4qu2WqizRJmHSdTKZVgmJSdE6CUaDCUUx7gcCzkm2fVluEW8eiV5Ms1wo8irUPai+0bcumNXZKCMJrLfQTO3XPUprGTLpQl5KydRfqwSlUqyVaWVknsTal6ijttJAuzCB3dWC4qUiChFp5qMxtg/Mmd01jBRuuZbjyZQ0EY8MqcE8ygtLILI1ZHMzYsEX9jlF1PKLR0bXdXRNS6eaMOHO0AG8cl6iMl3bopE9Whr48GJ7nhGaAPQE6Z/4Ushndm0XJv6Iya9KGY4GuBAb7uyO3aDD1D9eG+29mBhaYeFp74NzvpxmhUO7DqxhuZwzHOWMJuPQ3Io5oDEBLPHyjE6nE/6P/6f/A3/+5/8Dn37+Kbc3S6aTCQ/PH7CazwWccGCtZzAY8vTJE7I8Yz5fSH2cpFRVzauL1zx5+y2ck57h+uqGyWRKVW45mE1568lbfO/3fg/lFYvFgmeff8Gnn33Cj3/6U5arDelAImXFDyklMRlFMUR7F7xD5X0EvCTcXfvsaXbT+mDKmGpFajRZmmAUDIMs9frqiqosOTk95PBQvoqioKxbtmXFs6+eUdUt3/29jzk6PpFkLSXBm+um4vNPP+Hq9pbxeMb7v/99dJLwP/z5X9B1Due0MIZR6CRhcnDAcrNmeXcHXmrpy8tLrLV8+OFHHB4e4q2nrmo8nsurS25vbnn3vXf53d/7XYYhDQrnwvovjf5yuWC9WvPgwQPeeust0iRlfreirisODiayznsrjGbnePHVcy5fXfHg7CFPf+cDDg6O2G4q6q5mNpvy9/7vf4/vfu8T/sv/6r9BelVLUWQsl3MOj445ODxgfDBDmwSURusEr6D99QP939zov379um/mi6Lof91vSLbbLfP5XEysgnZk38wsarKVajFJ0jdd/cQ5NFzSHBQMBgPatu0LwggYxPijwWBAt12jjeSZphqhomYjob17T5YoVNCrOtv2RSiIuVt0xq/rGt2W/SIXN5eyLPsMdYlikH8bC7u6rnswIjb2O2rXbtoZm27YmQp2zZLl3aY3p8tzWfRtpIk3DW3X0RW5TMJRiL+bJkmiDEAcTJWSKWiUTcSmNH6W2BwVRbb3/rpew+QDJUwmtRbrq3tT5R1NfTdlTr04g+7T5o+OjvpGPAIkZbmlbTtauzO0a5qmB1OUUrRYuoAqy04QnHe90BPrthYDHrW95xUQm+r7YIaguvuGddHd31obNlKDAOMe5y3Y3YQ0z1OGwyLoerY0Tdlfy/gz3zxi8x3PtdYS1bd//mMEV/zs8fPvn+N9IK0vBH/Fz4v3U1EUcu8HQCreg7HoKdJEkGkri4tRkCUGcQEO5wPI8hjtmJJlCTGXeJ+dofc0qYRCIi9Eey8FnkJZh+rcvc9t2xp73/IhrAO7GEFlTG8OWTeNGFL5jsLQgyv7qRDxV6FfStarSlRAbz2bSpyOTVlTtZahMmQ6ZTQoUO0IJ+MW2rZjUzfMZjN+8IM/ZK0LvnrxkvnNFbPJiG989BGj4YjNZs1qvaapG1KjKMuaH/3VT7C2w3vN5599yeXlBW+99RZPnjylLLd0TUc02GrKmvffe4//23/8H/P7v/99dADDZocHDKdjNnVJ1dS0viMdZH1RYcJ+uaPo/+ZDE/JrlSEzmjxJsE1Fog3jwRCN0J1HsxlfXLxmPp/zB9//Xc4fPGBUpHRtzWq15m6+5va2Zjwe8ejRI9quZbtdsS1XPH/+jKYtUQq++93fZTSa0NmMxdzyxRfPWG82dK5jPB6ASXj8+HHP6Hj16lXvp3J0dMR3vvMdZrOZrOud7QHi5XLJdDrl6OioN+brOpkGLZdLLi8vcc4xHA55+PAhjx8/JssyLi8vqeua6WTMeFjQVFva8pa0WdFWKyajgsOTUwazU9JEinAfnmtjZB/64IMP+LM/+zN+/vNP2G63TMbCkOmsJ8tyJuNJ+DxKpFG++ZqXy2+Pf7PHci3NuXOW4XDAZDIJ+3SQN1lPWW5p6lZ8RqzsUUIrB+8r1uutGC+GQcVwOCYvCpJg6Bud+LU2FKEeQSmapub29orrm0vKcovSIg1TGJEFKIneLDIxXjs6OAB0rw9uO0tZ1eChqrYoHF1TCzUzDfuUs9StOKW3bU1nG5QKsXOdwlsrk+mqZr1ekihDolNMKgiEcrr/rHgvWlrnaZqQrmMQ5qGGBsXibk653mASYfyNR1MUoTEO2KkNedokQmE3RqOcpgNZW/pGTXaJLmjKtVMk2mIVO18f4YbJJNUqrJLJrTTnsg9qBSpINJpOqOLVZiOU8sgqcw5n235oFL2M4q/T2RSlNFlekIRaVCjalrKrpSYsO5q6xHYNOIfyIq3EOaHru/C6XgvQ7T3eKZQx1GWOTmRq7hKLUrHZ9zTNIuzjewbJXSeAgfIkJrICZW3sOo+zQWrhDd7JRFlrxXgyJbJiIzN1f0+IdXOsbTDB+6S1ONeSmJSD2QGhN5Fz5SzedzjbsV6vkUxuaVgicO+9o6xKPJDlIfq2DSlQSu3FJNI3rtPpAXiF1kkP2hstkcPKiybeeqm7jDKMx1O8SkTuYi1ZkpIlMqBI04RMGSwpncqxOBRCxRY3Di9RxUmG8h3eddLwqyhVUT0zRpgOFudburaV/dnthineCbDktaF1HW3X0nlLa7uwCavAOPAo8YIUxoO1YOW+cd7K9+DFEz3oSry3uM6F6OeOqioZD0fkkymT8RBXCcV8u93yotxgneVP/uRPyLKMl//pf8ribk5nPSdn5+RJRpFmlIdbmloYA05pfvhXP2K5rvBKc/36kteXV4ymM955512urq6oq4q2adFe5CmDvODf//f+fb73u98T9rE2HB4dUbwac3e7JCsGpHmBNQlea2Ks52w2kR6vafD79yARuAw+GUpjUMFgWveT/FQ7cqMoMjE1RolB6qtXr2mbhqPZER9+8AFouLm+YbFYcXt7w/XVDdPDQ0bjCUobqrLiZj5nfn3FxfUN2iR899vf5fj0lLax3C5Ev950bWB7ScN/MDsEr6mqJjC3xO9qNptxfHTCwXSGQbEuS6qqpq6kVn/46CHvvP0O5+eS+iMpWwIcL5dLFvM5k8mEb3zwIePJmCzNKLcly7s7ZtMpSWq4uniNcrc4t6apKjKj+eC9dzmYHspAtOv6hAdjpM59+623+N7vfY9PPv+cuqmZTsdMD2bUTY3SmsODI1Divt/UJZvtbrj5q47f2OgXRdFnde83PNutbJar1QrYRc/FJiSahUU6+WBQkKa76X2kw/eTvFBAtW3L3Z0YnMUsZa11P8mNE0yrHWmaiANyKvEubdMwyndT3aqq8U0naLjroGvYlmVA6cSQqa5r2mpL1DDvG71Fevn+1CYCGPsyhfjfQN/wx2Zzn0ben6NUcTQaB+Svo61kCmqMIU8Mw3wkWjJyIYCZPdf0sBDrfhJgqTZlr8mPjW3XdT2YIoyIJrgFs/dZElorTpF13VA3FZvNfY3+vpQgotQpIkMYDAY9+BMb7/3M987WPfW6aaQodtE3wDmMNvhECSqF0PbxGkWK7jfOBGUyzFDcZ6OXwJvXan/avg+yRLBm580gcUAuoNnW2XDtQ+KAEsfzaICzP0mP17Nf4JRiPB73Tfa+Yd7+v4vxX/tsgNjo7/+b/QSJN53y498J7b5gOBz2Or4IIPWfGzDZoAdFQBYP5Vtx2lVeNO9dS9VKJCUerOtQyuJCk+psKG58S6TzxWfBKrn/Vbg3bdvSbMvdv3Ou91e4t9ikKd476rJks9wzu9GKRGmyIsU7jQrxVfssojfBlqYVN1ejM7JUdJLb7VaKVpNQt47t7Rxd1zw9P+8ne9tSiiajLFmeMR0OePetpwwHKXWZ8q2PPuRP/uSPQjb8K16+tCy6Btu1vH59S9O0zGZTlssVl5fXjEYTDg6OWCyWNE1DZgryfEhe5Liy5dvf+Ta//wd/wGQyoqkrSRm4XfOzzz7h5dUlJBrjRe5kvRVarpJm/+tQz9cPrTSDNCc3mgQFnaf1NamHPEnpmpZRkfWF8Wq5JMszPvroY9IkYbPZsLy95uL1S67vNqzXY87Oz0iSJEzY59zNr7G25uGjRzx69IDJKMc7uLha8/r1a25vb3qNXpIkVG1FURTc3d72Eps8z3n69ClHR0e92Z1zjtVaqPxpmvLgwQO22y2PHj1iPB737JWbm1vqzQZjDIeHh5ydnfX7wT4gbJQnM5q22tCt5hS2pEg1h0dHTI8f0KmcTdMyn99RliW2g8TkrFYrjM74wQ9+wGRywM/++uccH41I05SmtaRZynA06rXEdS1GSs7/KyIxvz3+tRzj6QEKKEI90XUtZV3jsbx8/oq2afupkrBj5AmaTKakaYKzwgx7+PCh6IW1Js9y0jQL+4sA6mKUaiirLXd3t3hgs1njvSXLUvJ8hjGKNBNdcgQIjNKAxdlGGAAqYTgesFlv2a4XMuFGkRgnzXGiWS4XbLarkMvtgkGUrPfCYAipQ4C3HkLDW+RF6N4CaL1H+8d7vJXXIbxWMchQRpMPBjJ1F+Ez1naIGzwCxtEI4GvE08CkUvBnRZQ7yrWQ8IrodyS/79qOxWIZcQY8SFJGkvQu3UDA9YO/gJdiXBgALXUne3XdNNzc3QDCINRKNNipNjKRdRalYDAciilcllIMosGisM2sc1RlGVhnVhrYzSp4fsgkVqI4NTiwGoTWTpgKe5SSuiHNcpI0Q8z1AvNKRzQ2NuD7i3aol3VwkFeSFuCDNEBMAuPPc/g2aNXVTr+92URgy/W1wH4dEaUUNiQ4KACjgiG23O9VtUUbQ9fKz7ddKzFwXt5fbPR9uCZSO4l3hdD0hZ0RhxiEa7ub1krSTpQNGiOMDyu3njQv2qKNcFisd3QW6roCMoaDAQpFW9fClMWiTSfghHZYJSwHAfl3EgcxYHN414FrUQ7GoxGJMSKPbEpUiGuU+6vGuRrlbbhc0uSLF4YSNkoAjbzeq3+DfMM7YeD06Qre9+CQ92KXKetHuFZ4Ou9EJ46nbRtsR4hY1KQ6oSoF5Ok6R5rC+fkZswNp0meTGc51fOOjj/mjP/ojVncLvvjkU17VLwIA3bFYbcK1SLlbzHn+8jWD0YjzBw95/tULBsMBk/GE0XDAZ59+Srld86d/9G/zd//On0oj7i2JpMfy6SefYK1ESdpYA+LRNtkxSqKEZ+9Qe7e98pG+v6/ddyTekaFJjSNJFY4O5xO8UpRVyajIeeedd8A7losFV9fXXF/fcj1fMF8sePLWu9JgVw2r+Zz561dkieYbH36D8/NzTJLSWYuycPHygi+ffRWuq/iKGCVJIIvFApGGeIpM6o3jo1O8dZJY0TnWqzWrtXitPH78mLu7Ow4ODnBW/m673XJ7d8ft7S1aKc7Pzjk6PmI0HMmz2lm2wQjdBJ+Optqi2g24LZlWHB+fMJ0Ie6CraxZVh3WepnPkowk6NYyygj/4t/42o9mUzz77jCzPqZuaJEnFGDpLxJfGijxcTMF//fEbG/0HDx6QZRnWWubzOev1miRJ+mZrMpn0BfgguCbG5iv++TjEEETTMhWmwZ3tqKqafYgyTXcO8EmSMB6Pe+AgNsoSPSd3l3OOri7DomWpNyuWqxXXV1eUmy15kAZEavs+rd0ozSBPGA8OUUiTHhvS2CBGCrL3vi8644Ibf92ntccFOTZsAIvF4l4zqpKMbFzep14nCVp7EqUoQoOufR42eaFcee+pu4ZIrdJa6EwHB5O+0Y+fM7rn9w27jhFsMvm0zrJer6irmu12y7bc0rVdiCIRp/kIYkSvgjg9H2cF2tPHXy2XgqDBDiwBT9ttZDEOTa3QX3Oy3BCpap0TcyOhViVolWI7BSqVBt+kaCMGLrHhjfdWbLr3QYjedT683+Vy2dO9I9iSJGLO40OBoZTC+V2+fQRMkiTmLKf3Ju37zXz0cohT+X2wId6r+9ch/j428/GILJj9v9tniMSvyK6JgFPXCSr/tcmikmi7tmuDRs3cex0BOqRgjFP8SLUTVDH6FxgcZe/CHz9jpUV7pcNkQssoB7uXzrD/2aKBk7WdUByN7k0sI4jonAvZonxNEtHHbwbpQtM0dCgk+kV0fFprTC7PtwqOvl5JI1zVFcZ7xsMRtrNsthsGA1lTuq7jrSeP+P7vfpfb2xu+991vc35yxNNHDziYjEgNfFqXXF4uwCdMxiPubhdcXd1QlR3nZwdolXF1c8H5+Tl/+if/HtdXN7z4775iPp/zxedfcHV5idanjEbisXB5fcUvn32OyhIGkzF2uwlGpya4Ayu0C7TG8Pl/1b0U9bLKObRTKOuxrqPxLVmqRIda1pg8Q2l5Hsqy5MPfeZeD2YzlasXy7oZXz79gu16xrT3zuUQ7lWUpm5n2nJyc8PDhKZPpiLZtRDPsYLPe8Nlnn/H8+XOZtChFWVaUjSR9bLZb8J4HDx5weHhInuc98JckCVVV8eL5C7bbLU+ePEFkNjmHh4d0Xcd1kHvN7+54eHTKkydPOD09FYBgtbrHEJrP5zRliWsrmhIyb5mMCo5nI5I0leZft2iVUFUdl5eXHB2eMplMaBrLZrNhNs158vgJP/nxT3vZmXOWNEl6UFNkOJpu2wUDuN8ef1NHEbKhm7bl9u6OqtpKA+9sXzPImiHri0b3AwdjdChkEyaTSdCHi5oUVFhLV3gPw2EAAfIigAAqxGReUQwS8jzFYwOg4KXpRgX381a0/M5TNR3z25Kry0vm84Vkb2sV1j+N7TxJokW+pJX4N4f1sm5jsoQLzbXMzJVW0lApBd73ZnOR/u67Thqj0Jgo79DKoJXBOsvV1aVEDaa5gO0oPGtAMZkcYEzwJcoSEmMY9ACX6SWG1llBCqz8GtfaNDU8eHCG94I7eC/Xqm3aMImlj8Pa0fVl2rvdrnGuZVsKe88DWSZgwyDLAuuxw3UteEduCsCTDfJ+f9hsN/2+LJKOkGjjRR6Bk/QZ5V0AvMXoVXmhyPcMtQD4ECWCOiHNB2RpLp81lKxOqAlBtgBeezQuANyhXnBAANfjn+1AfogO+20wsdPGkGcZbRiMEKbjfaJRqIOdlXQcOdmhVrDymVbLtUzf6ckd4qllJRoSJzGjJjHEMkTqWUWaxjhrf6/u0dqIWzn0dXseanO86O+tbajrUibcSvfnvqnkzwTEEqM8lEHMvgN4EWoAhYArAE5Jzo6Yp4lmfzgSTXJTV3RNExAlh/Ka7WYt36cNJhFPLuVF4upcg7NivqhEexivuEgolBYj5TQl0TJeldqFPvpRDOTiPSJAXFYUgA0MCItGgxFGh/aKtm3QRkGw1m3bhvV6RWI7jBOpp9YC5G3WGzarNUWe8/2/9T1evX7FH/3hHzKbTDkcTzk9OuZnf/0zfvGLX7BeLFisSoaDIU215fXVFYvVioePH5OmKTe3twyygj/7d/8U13b89U9+wnq15LNPfsH1xUtOjo+ZHR5RlhW3N9f85Mc/QRup0atOzpF4aWiMUbRdZLDtqIaKnqm/w7dijWktrepANaRKoVMDrsHjMLlCZZqy3tK0LWcnJzw4f8B6veDu7prXr1+y3mypqob1aiPeKm3HcrOEruPtt9/hcDYFZdAIs7NtOtbrDc+efcWLFy8FvBI4B4fCJGlgZjvefuttDmYTiqKgqTrWqzWJEbnXzfUNZVUymx0wHk/QSnN4dAjA3d2deMuVFefnZ0wmE06OjkmMGFl2rXh7LBcLrq+uWVcl+TDFOc1sMCTxnuEgYzIZohMncYxeMV+UWG8kJs9kbLYVTbNhMBjxe7/3Xb766kuqquT05AlX19cMhgOMkf2g6xo624gsq3mDQrt3/MZGv67rPqKtDHSFqJmPTXM0CIuNWKTkw25y2bYtm3XVT5mjxm5QjPoGTApahXVd73JeFEXfdEdq+mBQ0NZLynLbRzURWAbxq2tbjAeso9rURCOxrpNFOcsy8qAl9ybtKVb7Luax0QVp3GLzEZug/YYmNmQR8YyZ9fuNf2zkkixjMMiFLTEc9gWktZayLNku52y8p+0kXsNo0brbzop2X+0arCRJqetdLFvXdffi1/ovrfFYuq7uXflF/2VJM81IF0gEXNIzFfa1dPuvtVmvse0uOzICI8DOJwAHtOE8SuMtwHzTNy6CchvEoTbFmAytMxJvUCRonQatmQ6mMV9nGOxPvmODHD0DgK/JGLx3VLVMBtMkFXfUMPFPUt2DQjEKJl77eE33AZ34+vs+Bm3b9jF28efuGyTGYjR+lv3PFH92/P54PveP+G/quu6lDPFa7h9tVfagVRojC9VuUm+dTMOVMVjXhHQAjfOtyCC9xnsp7Fy3JUbm9Z4TRYF20URKi6mz7cBKIea6DvkBsbCLm7kVB+OgfVTO09U7QzNxULWU2+29axtZPcPhsG96G1djXfSkEGBnFVzVqyC1IVG05Rbf1KS+QQ2yvjGsaylMa9sxyDT/j7/3f+XFixecnZ0xHgsoOXnvLZrtki9++TN81zIanYFSzO9eslqW5PmQopiwXlXgExIz4Fvf+jYvnr/gH/yD/5q2bfnyq6/48z//c77z3W/x+3/wPa6urvirH/0Vi2pLPhnReUdeFFh8YEiY4A8gBktxshJZG/v3ASB0xE2JygzKeKxvSTIlJkbakypFgsZqLfd5knB8dExVVSzv7ri5vAAU77//Pi8v53xys2S73QibSikODw84PjlgMhmy2S5pmposUazWG5qmZj6f9/e+zgzr9ZpiJGvl+fk5RZ5zcHAg0Tnh3EdJ1OXlJV89/4p33vsdmqbhZz/7maRgjEb9/Z0kCe+88w4Pj07vyYr2158INnoFCZbZeMJRXnCQe3Ijjti1c9RNTW1rWuS9pUmBR3SMVSnNyMnJCX/7b/9tNusbAa6sZTQaMwh70e3NHUkmkUe/jdf7mz1sJ1Oz9WpDWdaB4dXhfYjZ84SUniggjRG9OkR6KmwnLCsTgPosi6w0mEwmgLiIw85gWA7PycmxTOwMON/RtnL9b++ucQ6M0tiupa1r2kamT64T+VSmwzrYeWwHXQQYWpGCaGOCVj40WkqRplloMuJzH8CJSFV3nsRk4d2FcxSMOlWQbGmt6NqOuhavi6KQBj/6LAkoLo7/k+mBNElxHbKe+c11AMZDjdeJrlnj0VoaWI9CaYPWaahzNJ0Vin6aCiU7kOwlKDDsr5IkIhJLrcWALkuTQF+lT+RJM4nGVc7jjDS/eSJ1Z9c11I0wIWLEfJpIhJlzUnx7J6Ccd17et5IppmbH/pDzG/dk8SrQSRZc9xM6r7Gt65tg0Cgb2ReAARWSCVTf+uzo7dZ6ZDv3/fBfSoTwmqGei0MGlLiQR++C/cGB26tB4n3gvcNiw/fFYYQNvxfTOhDjRB2aWuVkSh7BMRlsBAmfkf0n1rb7x3ichM8X7gfrhPLeNUS/CY8FOhkg1PsDMfBKgZbpt3fSPOrArPBo6IyAAeh+Mqy1GFY261ogrxCVilIYJfWqJLoJUNZZ8RbSXqb+zrZY2wrwFafO2kAEJEKEZOxt5LyGlIlwb2hkP07TVLwWkoQ8y9DAsK1EloAXV3oFdVuzmC+wLtRDQNO0vHp9Qeo6HhzNSJKEum4YjQsyk4hsIU35v/wH/yG2a0kTw8nJicg+h2NOb+f8ix//hKZzjKcHdG3H1fUdm21FmmUMRmOur66ZTaaMh0O+/c1vMb+9ZTwcsbi54vLVK/7Bf/1f872/9T2+9e3v0LWe/+1f/IjleiuMFa+hi4xhh29kQBOZDPGIXkIOsVyIXb/UiBJ355C9vjCSEOZsRec9yWBAkifcvLzBec/BwSGr9Yarqy9Yb5fUTcm3v/Vt/voXv+Tq9o7laoHSknIxzHIenZzgO5H2rFYbvILNZsvl1TUvX74UGUsAaNpwf6ZpxuHREVo5xiOZvm/XW1wHqUmpqobFfMHPf/ZL3n77bYp8wF/+07+kKAomk6nIC9cCJL39ztuMx+O+JmutCwkgNYv5nOuLC65urigmU0yaMiwGHI0LBuSg5X6s6xbrHU6nDIYznEoZTSd4rWlaR1YUODzHxyd8//vfZ7Vc0bbC1D4+LsIa4WnakqYRj5HNdvm1PTMev7HRv7i4+NrUOmq29ynHcUOMTfDt7W0PDMQCfTicUuTFveZ9373Q43tH0igBSNOUsiyleA8O/QC0C5q6ogwNjWyEShZdFIM8waCg7XBK9V8mLE7YlrbqaAGVDkj6DU9+7puN0/50EXaNf2QaxCYzFrH7090IEOym4tEgxmGbilW1ld93HW0wLzHG0LgEnexMAZX2pDqiq6KXdhbqetf0xkl8bEBjc2r9lratZMKrNYNh1mtr4uE9NM3OBC4W028u8sZ6sJFKJU38m0Z1Umm8qRdRe1/y3yZJJQYFoXrRWbIsx+gUVAo6EdTVf1178ibFPRZkEfCI12I/mi5JDONJERglDudjHmkbAKk40c/kPfyanxcn6svl8t6k3O41w7+KabAPEsTXiSkV+8BS/L7IzIjHfnMTv+Jztn9kdBgcWjvRsFkv02Ll8caTaMRV1Yt2y3mH9lo23liOeQtWovOE4yZfCoWybaBnGZRXQhNtJMZMWYsKVD+tNCYNFHwd6W+7Qsf5js1yde+9OzQE8C2yeSSHPe+BjZhWETOLlTEYkzE7OiUrt6zXG8mmtzXetSij6GzNxgf2UTEgMbKBtU2NyRKOD2acHR/ivRj1tVXF559/zl/8o/+Bzz/5JcPREcZkLJerED2TcHx8hu08d7e3HBwcMJ8v+S//i/+Sy8tLrm+uSRJZN370ox+x3iwZjQsuLl7xP//lX+KTFGdDNEug/yVa2BEKCAPDfyl/XytFqg3NpqRzDYPEMSJHZwmJ0qTKoKxnOBzw6uo1Hk+apcznc+Z3t3g83/7Wt5hNx/z05/8QMGy3wjh6+513yDJDlple/uKc4+5uzs31Hc9f3PHy5cueYZNnObeLawbjCZPJlOlkwnQ67dk/EdCMTJhXr16x2WwYDof84he/4Pb2lvPzc0lj2GwYj8c8fPhQopmU6Vli8bmu65r1es3FxQWbzYaD4wNOjw54+8k5A7emW13TVjXWeWqnaTpF6zWVM1xfXzMZHzAYjPHa93Kyzlreffddrq9S5osrnHWyqWvFZrMRkK2sd2kfvz3+xo6L11fIIFsKfPFzEbtsmfv5wICTpkEpg3NQbmu21GEqKHvleDwWz6AiJ0vzflInDZgKUqXgX0OgNnuL8x2+tTRtxWazQilFXYueua0bbNtglMK2LWW1ITNpyCWXRsVrj/IahwANnXN0jcO5mtbJMMMrKIpBn/1Oz8zbY/OwoxjHQylFblJ0KjF5Jrixd21H1zS9K7bRksSTpuLxo4zsP1VTS9PYS8oEGIHY6CvxMsgztJKCXoVJtfcah6PrajSKJCsEQFYysY87v49T6DgVVBKROElHwCA0iq5vsKwTmaXzHV45nJZYrWa7xHuhxmpl5BRp0dFH+YaL5nqhNJGJvUYy5IOTfARygqlg/B6vExxGgBSd4Hv9N/hA55fPIXIM7xVge6CGqNX2Mvl33lKVZRhaKGFZGDHw01qTJjvz5xhDGKVB9yWuYXigdWBCRvp51Nd7opdObNSt9URte7x7lIrMChXqONMPemRv3/niuL0apx8AeZlGV3WNDbHQznZY1+JcixgaBzaJDwbI4X51wRgvgiz9M9tHY3q88r33jGBbMoWPJpbKhwQJjIADKj6j8jmV9rKXho5UeYX2EoMc59FaazSB1eKhayydbcIzHweQiAzHJKR5jlMwnk0ZDopQg0n8eNm2+CAFVVr8tKbTQxSG1XopchGEWUGQh8QEoqLI8M6R5bkYN3rH0cEhWWLYbta0Vc3t7S2fffY5P/zhv+CLL74gSXOOTs6w3oI2eKU5PTtltVlT1w0PHj2mrGr+/v/z75MlhtubG7QxODQ//eWndCZDD2YsFyv+6Q9/AibDo2mqZsdYUJF94vdiovfuIx/5UKHxV/KrDMk6YWI4jU8VyqVY19B66FQwekQkSINiwGIxZ7vdMptN+fAbH5MmOavlgnjnaqN5eHbOuBhitzUh4gOtFav1lru7OZcXV7x4/iKYTGpsz4CGNDHMZlOJ+ENAvrAiyzPaeV6/vMA7ODo65rNPP+fy4pLZbMYypGWMx2NOT88YjUbUddWnASmgaaTJn9/c8uWzL6nKLWePn3B2esrRLCf1S0wnzNnWtXQ4Wfudo+k6qcfnSyYHM0aTCXXdgvdcXF7w6NEjlqMFd7e3tE1DNihIEg0+MHR8kIvxv1Ojf3h42Dcd+83E/kQ/Njhxuj8YDHr6/SBoprquA1eEBxqqSorGoih6TVqkWsTFLBr5xWYmSgeapmGgN7v1OaCeWZaLJsZJfIw2CUmiQxOqcb0GK2qSdgBFbJpiUxZZCvvHfpP/ZvMbj6ibvkeTDt8fm+66rsQgIzjst13bT5djnF+e5eT5SBBHCM1qS2JC3Eo0GVIJaZQihK+6rnvzwh6QUWvaTiLmon9AXTdYu2uKJQ5vFxcXpRLOuXvGgbpz2OBvECfLXz8Cpe3+Cdz7kv/unMZ6LQwAD3gxdrPOybTAie/DMNxH8dhnHew30bG53wdZ9rXqohNraRqJ0muahl4PGZp4ac7Te9T6eA3i98WfGSfv+zT7ffBnnzL/q9gI+/F6Wus+MaCqxBQx3k/xiOaIvwpc2D9MAllgUfiIxHob8usDeh9Im1Frp7V87jjJ6rWulaC7Ohjyee9pG6F39yALoL1M+FOjSEJOrQoTJRMMhm1f5MWtwpHcP80Sb+R3yRVKKa6vr6URDvdumqaoEAGE9/jO4ZQlyzQ6ycmKEJNUC2tFii2JUNwGeufh8RE5jtXdLXVTsri9oRgMaOqaznbcXN/w6vlXnJ0ckyWam9uStoO72wV11ZFnQ+qqw9mSyXjGyckZ11fXOOfZbDboPcnN3d0d+cuUf/gP/yHr9VKKvVQQWXHbDteGMAOSWu03LNtvHFbWPMJ0xHUW5TypNiRKC7Opqri8vKStarbbktu7OxKleOe99zg6PuL68oLb21u8P+H8/JzDw0Oy3NA0JdqkstnZmrZtWCwW3N7d8fz5cy6vriiKAZXd9oabT5484enTJ/ckLPtfNzc33N7eMp1O+YOnb6OU4uXLl1hrubi4AET3HNlJtutCprbt5RvRD+TTTz8NjvsJpyfHzCYjbFvRtCWZhrouBVXPMhrb0W63tGbA7e0dN9dzFAlnZw9Jk0IYOWVLUQzC/rPh+vqGR09HwTRQ9qPlaotJst98TX57/Gs/jo6OAaibGmsb+oYF0Sqi6AHGJEnJ07xfZ3cNjEjLfKBrayVNvfw7WR+7TvTcXScmoSrQA5T2rFdLmramqjfc3l4H3Xp4fj0Y5FfvncRGqWBMBUG0LF403oNzwcArVVhvMOylsdgQMxf3JR0mvNA3TREE2Jer9Wyf0Iw5L9nVOk3DHit7bSJZYmyrmk1Z0QWKv9RHYjSWJBnHx0dEiUOUEiol5r3OSr64NglZYiCYmil0P8xu24au7bCdpW2j+SzB6d2jDaAcm/UKj+0bIqVlymqMmCJqo0NjoUmSjGJSgNfUdRNkXzL88ETqcPiSE4belRgCEikTzl14owYx5ZO7CmtDg6kTlJYoPaWMNI1KQAKTxPOxux4mzUKDHcGGEBfngm+NfDrZk6wlXFG2W8lHt9ZS11UYyAz7GmP/iLVJlHWIRnwXdwcC5ng0KoEMhXUyXJOJvsg/iiKX6efeIXWNgCEQPY/u1+hGy+eOaT2dlXg5h4fgcC/XMNYaGhVBHw+4rvcCkAhAaSK1Eg2EVx4T5Td6t4/KsZfcFRtNL/u8D9IYH86NNKc6SBU0DkmwSIJbuet2TKAYBYfSIjsJzb/Dir+EU+QqRSvH3WLOfLHzKUB50iyXCXccjmmD9TAYT/BKUTcydPBODPoSryirmsvraxarJQcPztDeiuzHKpYLMXNL05Tr62tWiyXz+S1FkfGNDz8Qvfpmy/PnX1HWDXk+YDI94O7ujkePHrNarfpa85NPfkldNWid4XTOwmp++OlXLLp/ynZTcrWs2NQu3JsGj0MpMe1MDPdZL/vDulDzRmd7uSRiAOoCcOOVA9ugnAfX4ZzBes98ueDl65cMkyFNV1PVDQcHBzx9+zGHB8d8+ew5q/UKbQynp6dMZzO8UmyrksSBd5amaaWXaRpub295+eo1y9WK9WaFShLatuF2WfGt73zEt7777QBuWQbDIc22pGtb2sazXm548fw5aZbwZ3/6p5RVyevXrzBas16v6dqOx48eB4BLBkEE8HeQpbR1xfzulpubK+a3d3jbMR2NybKU8XjEYJCSVhsSr6mtp8PSusB2cY6vbl7SdPIMPHr0iNPTyEYG2zYUacJ2s+Hubs623FKMhgHAbVkuF2zLUmQnv2Eq9Bsb/ajPjlP4OLXeb/RF/2buFeL7ZmRxompU1iN6PqA+TdPem8A636C0TJ3btu2pkbFRi27jOWLMAsjkrm0lNzboc5MkIdUGYz0uNqwqbvH3o1u6JMV5ObHD4bDXDL+5+O17BMSJ/pva530zvP3Ja5ySd524nXrXhRzZlCLkqDrnsG3Dum2pthu6ZI0OObP70XkuACMSFagxaniPcfCrvtA12shU1znbR17t6OWyqMU0gfhZYvGQ53kvMWjb7ddYHL92snXvvvNf+70ykhFqAnXf6Ay8QSmh7WsjJj5luf3aS/+qab7cW7vGOk7dYpMu+0jZ35taC+07XktBtQ3OJmIUtHfsmw7uT+bf1NXHcxeb+P37I76/X8UQ2Ww2/XXeZ8/sH2/KRSLlfx94UkBuWrJMPlPXdjRtg+1scEGN8gBFYvS9Rl8olba/x5xzGOHyowL3QikldDW9B444UCpo3wLdsgvNmXcdbQCmqqoKRYZMD5LEcDSb3fuMVhlalfbPTlVVvewlOvTneU4+HKK6Tq6x87imxSHvbTIrGIzGQq1VFYl3UG+Ypoqjo2NJRsCTJiknJyd0Xc18fkvXVLx+/Qq8Zzqd8f7773K+OuWLLz5ns33Fet6wWCyx1jGbjXHOMRoJyitmR4Znz57x+Refk6QJg4EwhZz33N7esljcCD6tEzAa54Ti57wTCQQBGY+0zn+Fib6z4t6dpym5SUhpQkS3J9GGRBvwju1GpE5ZYmiaGmMMxwdHDAYDNusNd/M51jmePn3Kt771LUajEZ2t+2u5WMzxWNq24YsvntE0EsXorGW1WmKdYl1tUErzzW9+zHvvvUeGDZuirC2vX79muRR62dtvC/0tKUZ8+eIlaZpS13W/f4xGo931T5LemyHeR/P5nK+++orFYsHbb7/NaDTi6GjKdDQkSyyqEX1mYrSY41QLGpWhTU7XtbzzzjtcXlzz+uI14rw/IzE5w+EY58SMFaVYLOY8eftdikFBs6nEXKdpGBcDUp/+hivz2+Nf99GE9VAYPqnsg67FuQ5vhW2kw6QzMQlZkoVGSdYl5yy2E712nFJGMDR6uezWQC/yuLDH393dipRXhb1AeyaTWRg4iCleVzfYpu0pynG6q7SR2ZFSAQAUdpPHBd2vyGvQCl1Ig5PmGWme7V5DqZ4BqbR87709nl1NEw8VJult09K5qGeWPWoxn0uT7D0dYPEMh+O+QcV7nG2Y393IOQwfXqFRXrx1nOuCS3wYBnnEO8WBC8aAeT6QRl0bYQjYjrYLbEMvBnFaC+CJ2pnTymRd4VQwPHOKCBFroxkNh+A1XSfa8LDk9Y1+pLx758KiquNtEF6bvel7PKSpNEnKaDjBifuYsMzClzT/AtC07S5CWWRWmnGaYp2jaxv8Xp0E0mDLDRMa9T0JgzDVBNyfhaSe/jq+cX0lNWQ3we+/wkfRWksGO7tmO4nMQgL/xftQH1mKouhrwFirtl0jUodwn9k9pmd0rb9/rwm4BuC8NCkoG5p7maEalaCMwrdyv3nvAltlJ08TAELMMZ2VKEjfGwFHpgE4ZxDZg+73zt35IvgDeLRXgRmq8XShHmyIE/04scdLvTvIMjDRu0KjkSm9+AHJAMt5kdH6tuvZCwezg15mh3coJYCXCukJQ2f72t9Zh+lqMt8xmUyZHcyYzCYMNQyqgpvLK05Ojnn16hXL+aK/pt/4xkecnp7x5Vdf8erVBavNpu8rDmcHvHz+nNnREcenZyyXSzbrNV9++ZyqbBiNZEqsdU6tMzqf8Fe/+ALtFSodYHKP9oSoyfCQRBAMJ94D4QwoNE5F6mG8/hEEiMMlF/o9HabOJhiJhqFr6P9GqQosF89sdkDXOe7uFsznC5aLFU9+5wMeP32C2TM+jx5T19fX5HnOP/vn/5zRaMTBwax/9qNhIsC//YN/i9OTE4ncxLHdrNmuNtxc37FcbPBe88EHH/SAWfw5hOetCClTTdNgQn8U16jtZsNmteLu7o67uzuWiwXvvvcujXMkwwKtolRIPDA652mtpI1Z5+i84uz0hHww46svv+TLZ8/w3vPw4UOUgtlsRrkVz6Oz8zP+8i//krPzc+nFBTENILcWb4lfc/zGRh/om/nY6Cchzi029vumaECv2Y5NUcwObxsxDogmYV3XUW7LexNJARd3jdS+/jvSm7XWuM0CG6iktusEsQOyPJfsVGOwTlE1Nvw8G/RiBQrRgokGLkX7hPFwyGg06hv1TXB4jj/TekfZlrtN1cCmLbFlQDM7icYplOknnUopjFYUg1w2QmuDtg1yE2/YYG5WldhGnHoTk5AAqt3g23DDOYe2Eo3mnQ15nhavEshFnqD3Nn2tpWlNEtH4t9HVnoDyO8V2U0rDlyRhE9AkRhB2o2UDVtpjXctytWY+lwbTdyneqh2aTCwewHm5mYUSM9krvEIOcdSfK4V3jjwv0GlKYtJAG0vClF3uPZ2II34xmt67x/Zp8Da4w3e1UBMj+BKnwftUe/DUjeROZqnptZtZnu/YDc39Rjr+zOFw2INP8bX3fRsiQLLPDNk3b4zgw76TfAQc6rphXYlBWZoPSQpprrZvaIB1kmOSndmfcw4VzGP2z8mmgarRZFlKkg1JcvABVGvxGJ2QpBJvYp0HZUiznLaq6IKWr/MyXSmMA70DABSKQTboG/q+udeRHxkwX+PorBiEtG2L7SzpwWNMD6oIiNX0wILbbeZKMuGzoFuNrIQiETBuNBphUbR2F/8YwY5BMSAvcrRSNMC2axjQUF8/59Fhzu+89ZRRnmGtp9SQpgMGuebQHFHXLf7VBZ9++jlfffmCsqxxDvKsoMgP2JbPabsNw1FOmglINJkWpJlnsVhwcDjkGx+8z/HxkK+ef8VmW5JkOdlwitUKG8AUawGncQ3YBrwzoI2g3cFADJNglAtsFzEoSlLueR44LyMNrRNMGvT5yqEMZANDPkqp2g3WQpMYqg60cpTrJQejdzicjWk6R6kMP3u5wo5Oefe9x5ydH9C0W2zXhqZgSdfBq1cX1HXN+dkTsrTAu5dMJ0c8f7UM67Tj8ZNzfvf3vgmqoyrrnmF0d3dHVVV9Vq5Q4pbU2xJXt4yygu1ixdsff8zpwRG5SdBJJp+36e75Unz11VesVivSNOXDDz9Ea3GEPjxIMaahbFuJi2oVVaO4mZcsN1vG00POHpzx7UffYL3e8uHvfBuP4sXzF0QTqLpZU1YVnS2BlvPzY4qBIUlgMikYoNnWFWW9Fdf13x5/Y8fR4WH4nQ9NiCZJisAXDZxcH5mBAiYCVFVJ19ndFDxM67yHtmvxbmcO7AJVNTZo0bNltVqB8n3zZLTvGQNVvQ2sIcIEWfeNKkF3LEWnFHrlds0e6RWTJCFXW0B1nUjNlWYSuRl9X8IIVD5jyAr3YcpaVTVd10rhruKUV5oy7YPfB6r37xmORgxHI1x4j51z0rjaTt67YAmS1mFbmdgGl3J8bL7aUE84aYSUwoXJrTZiqGttTVU5TJLKhFZpsiwhy9NQQwio3LR1Pw2N+4pJtES0hTm79+IWX1UdL1+8Jnphek+IUgx7Y5hAR2ptPLc6su39zuBOaWFFSP2Ykhoxd03zAuugtaEZ76fS9AMCk8j1ix5QLuz/IIOsLkgcsS70DOKXpNABc4npAZrxaNJLO7MswyMJKR4w0bw2Mb1nkwuu8fF+BfrPk4Vz3deDRjMoBuIDwW64kGUFkiwge47tLLVt8A66LiYiSKSi9xJLazuJnvMRnNaR5aj7vlCYKRLT6K0NTAOPyaXZN1rhtArUY8CLzEZr8aXKi2C62QSwJMheRAISQRPxXlERhFHh599rPuXexsk+qUgwGGGOBnKpmApnaJNgUZgko3MBYfcagiwk1rJS7oQ6OdHCXgymgwAqi946oJQnSXWQl8j7904SMqrlLecHE959/z3G44kALKEGOjuT1JvHjx8zv73l888/5/r6irv5guAsQVVLHHHT1BRZTp7l2JFnNjtksVhgkpSTk1PeffoEA/y3/+0/ROkckwgTxjtNUaRor2nKiqbrMB5sJ/HAQuCMcpZ99pDIKpQS4DLwJwSCCWsvoRZTRJaNxiSa4XCEUi2r5Vp8TDoBScpyCwrywRBrPXVT8fmXz2ms4+233uHk5BSMXNxyW9KtthRZzuXVFdZZPv7mN+m6jsura6zvqNuWRCmUUTx6dMr3fu+7aO3ZbtYoLK5rWd4u2G4qzs7PePzoKUVasFgtubm9obMi91wul7z99tti3hoHd6Fe7QLo3JQlV5dX3N7cMB6NmIwndE3D8dEhs6ND0gTatqSpWqrNhratWGzWlE3DbHbAyfkp46PHLJYb/uSP/4i27bi7m1NXEvN39uCMpm0YjQZUVcnR4QGDQQ4KhnlOdn7G3WLBcrnsGfS/6viNjf7p6em9aWGc0MepSzRXenO6uq9Dlqa3C5F3Vd8ohTsByVTcsQOUUvec0mPzHf8MPKqp6Vd5QCcJSXTXd46qrmmdpiGh6RzWiWuoC0W0TlOyomAwHDJOc9JQEEQ6etwMIbjxu46yrXYLSHiP0enepIZUGWzV0LVt71IO9039IBBjVGia45TXWoyGJNGkoQFNAoLa1DXdXryYAowXnYnznq7dErVmEck1WmgyXVPTAaUNjr77Fz7Z5bCLtl+jdPO1z1iWO2M3rTXearTK7vkavCln2Keq78sAIjgEgaWRGnQ0/gtfaZbvnTtxeo0si9jIxim9U8hXQN+02jX1v4ryBjAYDHsAIL6vthHNdZpkZKkkRaRp2lORY4Nx75oHP4f9zxg/945at5vev2ngFyf3ILIArwyYFJ3mASRKKNTXaXURxOi6TlzqtcYEwKGXiCiDBRplUIkkO6S5xwV9O8Zg49TdOYwXJoxORuSp6qe4bduQONHB2uDS77yn7VUZssi/aQ4E0dciQeUJeVbggTqf0sXolkoYFTIVEzRSa4lPSgKFMU4QdDh/VdOwKVdc3645OjoKzJ2CPPD/nXNkSUaqQxSiTmkMDExDOlrz5PyQw/EY3zSoPKPzUDcd6BqcJ0kz3n77PbJswmh0zGeffclivma9aVitF1T1Gk9LmuWgJKXCuoq6Uaw3c+pmw7MvHIvVipvbS6xTDKZTVJJDIhq4trV0rkNVFbZ1eKswKkVrASd32kChCqtgiqO0E12Z2jGiVI+IeazvsE2FST06yTCpFBsamM0mbDcNThmKQcZ4OGA8zBkNcsoOOjJuKzh89C7f/NaHoOReXywWEidze8vd3R2TyYRvfvwdpuMBr1695uWLC16/vkRrQ2Mtw9GAb3z0Hm+/84SyXLG8uOvd64fDIQ8ePGA6nfbGfLIXwHQ0RjnPqBjwe9/5Lm89ftI/x/HZ897z+vVrNhtJlHj06BGz2QxrLZ9++ilN03A4O8C7jrKuWG9KNpsN19fXDAYDzt55xNHREcPhmKrsaBtHkuQh8lVAvKre9rKZokixznByeoR1LfPFDcPJjDQryIuU1XbNIP26xOu3x7+5I03399JAfemZYiIBc06i2kB8R+SIAHDccyMoAE3dCL08svCcC42ARHgJNu4piqJvTH0o2LtQo9RlIwWuE22vTBRjcSyNvu+p3B5lxLDOGENigilelpMmqRjymT2WmvekAUSW/5TYuKYWdktsjuV9C8vPeyDIE60Tc7ZI2Y5O7gotawkKpUw/yeo1zSjxBNJhSm7BKZlK4rwUvF7yy43Soo8HAQGktBf1dGiM8fI+gvUaIkEMA4sgvZSSS/bQNMsYT8YoZQLbrcV70ThLhvkeq88YVCqNgHf0dHk8AjpoqZuS1JBneYib2/n4qJCEoAOlyitF03QoHYdLSWj0Q9OmCb4zO0lY13mwvm+Ksiwn642qI80+MvvknButMQjI0/WyBi80fjyD4QijNYPBMNTcNhj+1kTnQR1d8o0RiUa4dyIjUSlFmghYojyhWVOhwRe6dYyvcwGYcJ7+npPvlXNT5ANc6khD/PCuqRZgJpomayVgg7MJHouiwmP765WZhCwrBBjrn7egq9cJnQ0+R9rInWINEu2z38dLMk0/S477pYr3YQCHUMErQQY8OhGDP/lfGQC2bUdbt6gkZVKMyIMngxLRgbBuQgqBGPRZxEjQYV2QbWi5z3aGy8IcMkmQ7mhZFwJaRjo54MnTRzx5+oS6qWiMSFXbpmIwneGs9Fdvv/M2s9mUn/38ZzgHr19d0HQdTTD8FhZ1jvLI/ZKmNG3LdrEC7xgUBbcXV1R1x2AkcmBjEY8Kb1FaIpdDuKDUJuG+UFY4DbGm9eH5RHuUE1+ESGeXf+8CACR/ppWsAQaH0QIytjiGwyF3pXiu6fB8FkUuwIr2WOfRSc7f+v2/zXd/9/c4ODjk1dUVXedotxW3ry+5u7nB5BkfffQRg8GIZ8+e8eLlC8pS/IUcDqM1H374Hu+//w5NWTKfX6OUJTUJSZbyaHbI+dlDtDIsVyvu5nOSJGF2eMB4PGY8HvO7v/u7nJ2dhRo+pI14R1WVLBYLri4u0UpxcnrKw/NzPJ5/+r/+JRjP4cEIOsd2uyFFscGzWm/oWsdkesyTt97l4PCExbrCNg15NLrHUZUVs9mMq6tL7u7mYV9zHB8fYRJD2zbkufRgWSLxqEX+6wcPv7HR35+WRXpzpO/Hr6gP22/067q+Rynab3TilNx732vw4ybWtm3PGogmb/v0/2gIlUWEae+hbzqLCc62rbU4FEma9O85y7Le4C9qP7MsY5zk1FXFdrvtpQeRDh2/qrahK3cT5F5fFGl4Pmq9ZMNsO/e1SWN/wpWnSLk39VXGSGFgxFTDKUXdyudtWkGouq4jMQH5D5N6laQUQVe/Pz12QZMUGwatkkDi2x371HsIRm+hoY8si32n1CQRbXRmphiT32NYNMHlfJ++Hv9sn262i9+Tn1fZ+8aO0Q9gX2Mf2SQx/jBuzpFOEwGFrqxRzt9jn9ze3t7zlthvyvcp/9HEMN4bsQnZf98RABoMBveehX2WQXz9/XtnX1O8f472z5nzDqWTe68Zp5T7x37zuw867AMu+8kY8T6I1yqaocXXetOHYN9/QO4Rh6sA57Gu36Nwb9DJVXDx3T9ccF2On0WhaJsWnYh3R3wWI1gSr0eiNMbRm63Fa+6c6yURSZJQlmU/AYvyobjG9OsGDnSC0o6D6ZiH56fkicG3Fd7KBCrG6lRVzXq94erqhudfveb2dsHvf//7WAs/+9kv+PzZM9K1mMVFmnkPRIRzXFUVry9e41EUeU7n1NeMEuP76wLosg8M7YMlSilMzzP99ceORSLMCh0iRb33bDZrhqkWxsqqBO8x2nB8fMx4PKaqaq7uVtxVlsvLC84eyH10d3fHNtDFolP/u+++y9nZGYPBgNXiluVyyXyxYLVakSRDSDzzzZq2adlsNkzGknHvvWc6nfL48WOm02kPcsVJf1m2tI3o9r/xjW/w0Ucf3ZOsrFYrFosF6/Wa5XKJMYanT59ydHTUgxDWWobDIdY6bq5vmS/mvRTm/PwBp6enHB8do7SiLGvm80XImpZ7PcacpmnKdrvl+vqaqq4oy4p8MOzXgKZpsI00JsOQmPLb42/ukOztOKVUfWPoPdi2C4UYPduoC3IlabTiVHj/Kzxve+wtafBt/3MIbLnRaBimyRVd1/Zrm0i1orkw/bQwTm/j6FCFaZdJFYPhOOxRkXmXhv01uOrrCHTa8DOC+Vs4mrbBbmVS6uzeAuF3UWQ4eT/eeVwXpApxOh3OT6DthQm8NMyJUb3umcCkilRcqQWEyqyVD5wEOa+E/w1sd/LESKyYidNT31+b4KogjWmYyE4nktQUmY7OiR+C86o3BxTH/niOhRY8GIz6CMR4DiKY08en+fA/SsxPu9bKOlmk4RrLXzvfibmZl9QT5Tyj0RBjEslDV5HqLZR2GRjH9V1hTABLgnGZTItFSqK1RJbGfVGYmmH97qxIOdMMbTRZmoGCxMj9UJYl6806eEjoPknCOakH0yQlSQR40Fr3CU19w9ZLZn0ATPYYYV7SQyLLVWvdQ2d9k79XYwB0bmfGDDtav4ALPoBYOVrlaOWBgYBOVmjviTFok6CVRF7GqMBoqk1kCWLD+Q4A1Y6PIA7/ViQZWsuQR8ALHxgJXbhPYxMupo2SCunCcx08uQYZJsnQaUZWDJGnPxXmh9YkSlILdJDRlpUkzkgaUYPGkA+Cv5ELiUVhqh99MrwTJgDeo73n6OCQRw8eSNPpDcqLeaNWiiRL2a7XbLYbVssFn3/6Ga9fvebDDz/gm9/8Fp98+hl/9aMf4bqO05NjrN2Z5uE91ou8Bae4uLikrRqK4QBtZBCaql1ClXXC3OyFMT1rCHDx3gnMieBnIGujjmoYAffCvaRQ4f4Pz7f2PVPb2haH4/DgkO1qLSzPNOXs7JTT0zM8DU3dUDUdFxeXOCO95i9/+UuWmy1KaRIUB0cHPHr0kMnBjMl4wrNnX3E3n3Nzc8tmu2U4HFA1Ddp4tpsVq8WCPNNstxuSRJNPMo5mR5ydnDEaTFgsVixWC5bLhdTrbc3F5QVP33qLjz7+iLwoZP2zHXXTUG63LFcrbq6vOTo65GA2YzQcsV6tuJvfMhoPmUzHdG3NarNivZzT1SXbasW7bz3l5PiEohjQWifpRbXAn9aK50WaJOSzGW3bUmQ5o+GQbSkT/igN1krMgb0XaVaeFiT610sJf2Ojf3193RdAcQpf1xKpZK1lOp0yHA7vZczHpv5NA6Y3p7qxGayqqqcxe+/7eL79ZjvqoCLlN1UD9mfUkbKVJhKZVyhAp6g0739eNPGK7yNGB941liY0FPuf9d7UVynEsz8YhgSXb1mkJYPd2YbUi64HlchDS4jM2TunRkGa+N3mGrREshHLIqo6T1k1YWFUaJOTmRhLGAoIHSYF7g2dVmjgY9pBnudUTmH38Iaoc41xcNGULs10QCndzjxGqbBhStZ9mmVoJdevrmtZ+AOrI24GxhjG43F/7eJ7ig1y/DdFMkIl9xvvfR16bOpis7fvD/FmA6VDGkBsdGNT/ibQEvXe8edFAGHX3PpeerIPeoxGo3vxeLGJjr+P7ykyViI4Fd9zbFTjOYrPzM4TQd97hu5LDnbvPTZK8T6NrxlBnigdeJN9sO+f0ba7ZIue1RBAtHgO5DdgvcI7hXNKiiylyb5mRCbF9v5h0uCP61xPYZwdzdAhQig2WdGBPZ6nVCdMB8Me5BkOh8GJeNvTt2Mj+KYhYyy84/muracxmrqtmWUwGhRo5UiMIk2EGmpRNE3dJy8sF0u++uorXr644PGjp9S1vK9Hjx7hUmFMLJdLNptN/1727++2bUizVBpP5DlsmjbskZqmDZFPb7Ag4nvff4a18ffWjl91xHUxTQzKwKAw/X2/Wm/ojCfVnnXZQkClR+MxxhiWiyWXlxdcrmoWiwWHJ+f9uvDq1Su895ydnXFycsLBwUG/Xq/Xa25vb6kriUytO0djW4bDIe+8+w5JkrAtSzHRmU6ZTCb9Pdl1Hdvtlvl8zmKxYLOu+elPf8ZiseDf+Xf+nf6ej/vMl19+ycXFRQ8WnJycMJvNenbY9fV1/yw2dct2W1NXHYNizNHREQ8fPgx7CXRNh7OKrmvxPu+vXQTeYrrDcrnE2awHim1nKesV+WiCRZ7Zo+GE4Xj0L7k6vz3+dR63d9coVNDI63trQVfLnp3lARw2CYRpWlXXAgIQwMs9XXlRyACgbVs22y3OSjzrfuMj09tp3/grbUKGPH3hpUJdQJyaBm10U1XgHIMiZzqe4PGhgYsNoBi8WedorWVbbon6TzlUDwjK+5fpvQ3U9B4JDK73hIZe1hFh/ljnsW2H2DWFPSZE+Un7IU2zemO1kfXJ0rmYgS5gRc8sDL/G5sArmeuhFePxELSm6eTfGQ2z2SEghqvxvfkgEbOd7Y3dIivSxqm1Tu4xRaMpoFaGtrF0XUWk+6tw7iUyTYUpriIJfxb9/5M06WsBFxFsJeaMSZKQ6CxoSUVuYa1MvG2QLFp7v/70fdcTcQWRrikbMul1SDpI5LpHiET53bq/k16G6xL2iDRNMEkAsj2oZDdUiPe0fG+oM7RhkA76PS024dZamnaXFmJC/SJTxJ1JXwTtoww0muIpbeT7otGyFpDGKMhyUL0cJbIYNIJmpHifkOYRoBHmibyGwyTxXPjdfeYdLoAMKI9B7eoEZ3Gd7ZkjKhpFhp/ufKCfS0ZteIYztJJ9QBvbp9XoMPRL0pzWeeqmpXWOpi5xnScxhjyXyMHD6RTvHUmqabqCupFEMI9IPKxzaKPEADeAkC6Abn3nDCTO4zvL4XhC4i2+axhNJqi6xmuothuqcsvi7o5XL19ycXnJ5eUlf/iHf8gnn33OZDbmG9/4kOn0NZttSVYM+fTzL6kaMfoWOW6CMtBaC0YzmkyCKWaQZrYt29D3OCsTd6D3edjX20d2kw4AgPJaAJy9+913XQ+wKiTqUBu5N4xW4DrWqxKTaa4ur6nKCuXlp0ymY1Awv1tycXXJcrXm+YsXfO8P/gBjUla3d9zezTk+PeH87JxhmkuUqYMvvvgisDIa5ndz2qbDaxv8KCxPHz8kzxK6tuLk+JjjwwOKQY5GU4ZBg7OKqirZVFuWyyWffPIJ19c3fP/736frLGmasNmsub6+5OXzl1xcvmY4HPDW06ecnpyEelaT5Anr7YbNZsPp6TFluWVbbqi7GqM1j5885cHDJ2ht6LzDorHes1iumB0coNAUg2G/rwwLAZ826w3eWmzXMpsdBIBLroPSiunkQK73G4O7/eM3NvqTyYThUKjOsTCLi9K+Cd9+MxWbnzeng0pJXmzMum/btp8Y7Teno9GoL1RjHvp+s54kCd6agAmHn6k0eZHL5k6ghWtNkmb9Jhmp6CAbWFkKtbPACBKl1D2H9n1TPYfCJTsDsn10PRqdYCRSxyuPNilZRk+B2z+0kmgQ50WT450Nuhb5nPH3Vd2BUmRpJohjML2L08poxGCIqP/OEHB/at62LVXrgu6I/nzueyNEZLauogwjwSS7ibfQthW2g/l8AX7nKh834Hit96///oR13+sBZFLe4kTns/e1Dwa82RS/mWqwP9keZQUmVfdc6d+UTXjv77nnx3v0zcn5PqMknvM8z/up8Xa7DbEoxddArWgaFiUP+14P8R6OE/57lH99v9HfZ0XEI8os9tkRbzb6cVq6D47F5/TN6fE+IyGCB1E+E8EbY6a9LqkvNN6IdZKT++Z/StGUh89tjIFiCmqXyxvv18iwUUqJY2vn+vMY3+u+jALokzHiOY8AT/z+aBqUZwZlO/JEMcwMqYaBSSiyBJ2IJp4uZb2UyXHTNr0PwPPnz/Fei+u/gvfff5+//uu/5uXLl5RlyWw2669TZAwN8wkoxXpbUpUNTlUYp/CJgHZ1Kxq9IrBUerNSY/prsys+1b90oq+UIs9y+Tw+ZTgQk8O23aKdQ6cmNOcl4/GYp0/PefjgIZv1hpcvX/Dq9SVbl/TUepAp+unpKWdnZz3QslwuybKM+XxOVZW8fPmSz7/4QgAiRI+5Wa3ZbrekacqDBw8YVY7BYNCzvLbbLZvNRgDWuzsWiwU3Nws+++wz3nvvPcbjcf88v3jxglevXpGmKe+99x4PHjwIU3vbP5tlWbJerymKgqqqWNxeo3zN2elDTk5PmIwnMrUNcpHNpma9WlPXMQKIQMmWdeH169c0jaQK5Jnqnxn5+44CuRx5UTCdHTAc/bbR/5s8Dg6kURwOh8zn816XqJRiOp3eZygpMX1SypNnGZHm73Giaw5NlDwbK9q2ZR7qG4U8V8VgwGg06veyexxCtU8blv0uD4a12oSGyCRS5AfjPR+N/gIl2AluEMwuFyiFTH2dR+39sDh4gNjoy9QbpSjyAWiFC5Rl58U6yyOsQ48myYcMRwlG6Z5W2zlLa3dUW2MMJlGBvi5Nkki1IkFA7TTvaucyr5RGBwDAK4IcQMvnCb47iUll0u9l4ktIG1DszK/CScVoLQbKgb4dmRc7TFRkbTpoo6XhV/fOj7c+eOfJBF4r0Vr70OyjRAuOMmGYIY2u9IUaSLDe9NfI9xNxenaA8gpUlE7pEAOn+jpOuh8f/lr394uY0wVpH7Ex2jEf5TOzd/134G88Vb5/I7uGPL6gd55tve0d8a0VwCEOSPbBhH4qr+SeEEaGCu9ZhXMcmB/GiNk1CpTYWqv4f3t1RIw92z1rIFkUO/BKhahCH7wSiOcAUMphVbwvggFifE/OYTuHV558MJLr44QREXze0UZTpBlFeA9N08h9oI3ci0lGmggzUGmDNkakMF0nPhXWooxhMEjFPJCwbnjLfDHHOktrGzrbiTwkPsvehItm0CrFeyuDOA/Eu7x//izKOVRX06wXnB2MqbcbJnmGs5rtei1Mg1DvRjbID3/4Q+bLFav1mrKseffdd/nZX/+cX/7il9wtlrz17juU2zUmSRmPZ/JvFQKMOCvMCO+5u71DmYRIuO/vnXiPqXiPhdhIr/t7JH77PqO6nwvtMTi1kXQMo0ArS9c1oFpM8EnDAdYzyAumoylXV1fc3FyLzh7wKhgiOofCc3J0zIPTc6aTCbaWwZwPQEpdN1y8vuTZs6+E0eNgvV3RuY6bm1ts13J8dAzeMp1NUE7286qsqasWaz23c6lH5nd3fPLLX/LW22/z1tO30Nrz1VdfsFjMefXyJQr4xjc+4PT0VGo2xJC4sY3UNHe3cla9ZbkW4Pjk7JzpeMzh0UyGZ52lqhpW6w3OeW7nc5yHsuoYjYXttVzO8Thubu+oqpok3XmA3c0XoBWD4YBEZxTFoN8bf93xGxt9pRR3d3d9wR1p1QcHBz2Fues6yrK817DHKWxVVf3k0DnHarXqXZjj4hezsofD4b3mUGvda6XjFKmnpGdDtFZivBeauXK7pQk3GmY3cd7XVsvNKM1QPyVWSb8AxYUvFn+9WVrrwBlGo1E4F7af7qZZFqJMwA9kedt3RNWB7kXcCGyHazai5wu658QIsu9jPKD3DLM8FP8G23WUTSNmflqTpDlpEp2Fk3sPXgRLog52uVyyKJsQPbKLzotATbxe0jCF5k4H3Vt4eNNkp4czeS6L717TuD85jhtIWZZ9ozkYDBgMBn0TCTKd1q6TzVfvUhZi4RavEUjjHSfO+3T+/YbRNx3KiRZ4f0K8D0LtU/f3G+A3G+ooIdkHs6LWeB9cWK/X96b3+zKE/jPqHWCy/xnG4YGO0giS+079UaIQr098XiJw9aa8xbldQkZsFPffS7wuwL3PFf8uNmTxukrSQg5tSiw2IPpC3AdLdkZ6uyN+f2SFEN57rGBiwRHXEZAprg3mfev1Gq01s9msv14x4jGCOEVR9O97X24Sz5lzFoXFtRWnR+ecHM1oyxUH0yGJcmzWC5JsQF1tMEZzfn7GaDghz0ZcX8350Y9+RJoWzGaHDEYjkiQRBDkAV8PhkJOTE7TWPVW8rius8yzmC+bLDSQZg/GM4ewQpeXaGq1xUR+6X8Dv3T9aa+rGErWUvQQiXNteKqINWZ6j8WjlaJqaVWcZpdA1Dfn0gLeePqZ8fc1XL1+y3ZZcX19hSwE2jNY8PHvIV1c/l6iW7bY3zBvuxTtFRkUE3RbzOZv1mra1kCRY29E2Yig5GU/CNdglhsi5EUnMs2fPePHiBQ8fPuzX+Wgk45xjPp/3MX0PHz7s/64oip5NUFUV19fXrNdrAfpGI6aTA6bjjJOTE8bjCcbIdamqEq0NzsJmU+Gs4e5u3u9PcV2PiQ5FUbBdy743nky5uLmmGE4keWQ4xmGYTqboN+Qqvz3+zR5pmrJcLHpzuul0KpRlpUmNGJAB/d7tvRVGjuvwXnT7cdLdBcf0fUZhfL7GgfES19j9RgwvDbBSqjdjTFPZU2IyTWcd2xBxG0TuYhbnLF3bYJtNaLABpOhs26Z/7qM5WvwsNlCi4+FDc+W9F2O0TpENBiR5Flh+oYAPDaHWwTQMh7ICPKTeU8S9UQXg39q+scEYvE9RXYdSlsR7TIqY9YVO1CvdJwBoVDAGDbVQaA6Go7GknDhEk+8s200Vpp8Gk0rkWTynyhiKsOa0rg1rOoGJEIcYu2GCfMVGXyZdAsoodJKitBgh2mC6OBiNg/QxMjWM0LQJp7jXfWthHmDF+V+yE8V7PF4Kv2Nr7jc+SgWLuPBH1op5ouyjOjREoS70PjTUII3V7h6FWIPG+3kXpyfr6qbfLyRlQPbANrjpx4bNu7gXxz1DmpMqgOFHx0f9e98N58IQSAf/JJOI87k2BIspVPwfH3C0e54Zcn60VlLrBgnIPlomuvzw7/q/CvesCoBCiEHURpKBksGwBwXELC6wT73CKAGqWitJQzJIyAJFPyVJsxCXqPEmDFSUsA50oki1D8kBsSbX1FXNZr0BD9uq5NHjx+jW0GzWKJWitCR86TDwS7McZVKwCmc7nE8Cy0XAJlGz1JweDJlkhqRrqFcLijSBJIGQCtJ1LWdnp30tdnlxIR4125I0KziYzQDPxdUFRZ6LwaHtOD89piiGbLdVOMdgW0tVllRNKxyINGM8mWGytGcbRANSF85lHFLG/9PE1AF/716XWyAMB/X9AZrWAQRxEnerjWc2GDAbT1lf30kEsDFizGdbVivZy3/nw2/w6S8/ZXk3ZzGfc3x4xGx2JIO2zqKVAUwwJldUZcPtzRylE8AQg1Bso5kMDjg/echkMqKuS7RKUMrjbEfTtLRdx1dfveCnP/kJT54+pbOW6WwmQ5wQ97nerHC+4+lbT5hNpwwGA8YjYSy3TctmLX3W1dWVRCUniuV2jdGao5NjHj9+iLMdrRM/j7aSL2sVXSemmldXd+RFzWC1FcBV04O1k8mE69sbOiv9WdOUWOD80WPywQCTZHi9GxT9quNfSaMfG4F987E4BdmfoO7/3ZsTxUiPjnTyJEl6Def+phqpnfH7Yy75KBTaWZbh0zC16yxlEzTLnds1qdoAFue6vYUwNCp7TUnfrNxDp4LDLrtmJC8K8tFhb9qkgEH4HGmaopXolFQmD3VcmOOiu99setvSKS90fxq871A6xaRpv9hHlN9aK+7RymCyAmVdQMoSkkQcYvM3gshjUxynZ5vNpqfuRxCjKArJ+g4NkVyPlOFgikT32b6hbds42ZUCJM8K9rNX4xR+n34fF4J4D3wt4zeee2PonO0Lrf3JdJzsx9ePjf3+a+03uYQGap9R8OZEH75O3d+XCuwf+039LnrJ3fuK0/7Y6Mefu3/v7HsZ7P/M+Ps0Fdf/Tuc9wBG159E3IFKLY4P55vvc98zYB6j27/Vf9e/ebM7jud1/r9bo+/ev9+ik24Emgaa2/z3hCt+bSuGhiS7Ee/dAnNrEwxhDFhrMeL0Hg0HPptgHMOK9EteLfVaJ1hqHZzIYUOicttrQVltM6rB1iS0tddOgFeRZSlM3rNcbbm7uuL25IQnAy3Zb8urlBVe3N5w8PuXVq1d9DGeaptzc3AD0zqy2KfvpSJxUtG0nxZYK/hkxSSCCIW+sP/FXOT/y5/trVgRPs0zopVXnMV7meCpqIY3aRXeFdTOCqtttyfLmCq0077//O2ycrM9ZmvHw4UOGw2EP4kbAzVrbs0l+9OO/5mc//znWOYoiZ1N1LFcrTh+e8M7b7zCejEmMJ011/wxttzJlWq/XZFnGO++8Q5qmzOcyvRCjPFlfp9MpBwcH/bUfDAZst1tWq1Wv7b+9ve0BgdhkPX36kOmoCGCQo65qnFXYTrFYL0Apjo/P+PnPPuF//B//R9566y2Oj495/Pgx1lpms1n/ebXW4mRs5fk+CKBSNhhQNaGgrn9NrOhvj38jx2KxuAfwDgZFn96h/N40FSlSvbOhwZevnr6PwroOPAwGgx4ctnvNflzHhfZsQ5MatMlAluUMB3nYnxK0FsbierPB+n1hodpNyAHQfcMbAVQbpomybii0Evp1nNCLoR/958qylMFoKGu49zivGE0mZMMR2qTkxUAaccRXpbMdrmvwtsN3Fu1BedEKd11HXZUybVRKjMYApcKeXkgzW1VbrO3QKhVNr9oZ6ErzmGISLVNIHae+MsXflnWoZRzWdTgnk+e26/BNLXT5NCVNkuATIJLHwhQolDTKDryXCeNODijNnwkxsRAYjUkcOMg5kHVEIlXlPQhjIkonZP3VwjJHJuoo8MrJgFpOmBTf0ende/C7YLc3i2zRY4f7RSuUV+LrgOrPtVIaHdf5oGu2LjbmkY6/kz9aG/c+mdLH/d4HA0TngkHcHlvzVx2x5h5mGShFVZaMRiOKotiTbcrUHhU8pEwiJpIBlOgxosBAVWFyrUI+rDx3kZ0gcWzO7iLPInimgteBnE/Xpz30UZRaCQPACKBnkgAmOMBaFC74RcRGX5GkuTwD8fO6IIPw8rpxUm175oQWlYYBhTDAJD6+I00U47GYQatE0XYtSZYxSw9l+O1iermsC521tNvNLlOjB3RSwGBwJKplmGlyLVP9JBtAZ3vxTJ7mrFYryk3F9c0ty+WKohhyeXXJfL7i1cUvSRPDZDLj8vUl+WBEkhi6tuXy9WvSNOfw8HA3HPC+jyF1XkAbiMzkwDcIglsAAIt/SURBVDbwO9+G6L0RJ+baB8ZO+Iz7AwpAntlgah4ByPhsaDSOmtZ2GEQukhrDZDTm8PCALM24uLgE7RmOhpycnUg97SwHBwdMp1NOTk8xOhHwSi6XPE8hnvLZs6/45JPP2K5LvBPzxbL2TMYFv/8H36OzjqpqMdpgW0/XNiyXKzabLVVZM7+7471332M8GrHdbIJPW0pdN3S25eHDc5TypGZXjyslrB4xOJVa4+72jvV2hVeOB48f8PjRI4ZFjk6SPpKx64IMqvd187x8+Zq//ukvODt/xOMnjzk6npHnCShHmmaUZclkPGG9Fd8GudtAJ6kkE5mEjl4M8yuPfyl1Py4aUbcci744oSE+sGqnZ4vTkViAAz01NzYvsUmOr9ffNGHjiN8H0pztT3qrRkwkuk4QFzzkgzHWinFdWzUo12Jcd6/hebPpF/3P1z93nBjHCatJh+hMJot6pMPmsstf996jug7bL/YyPVAKRtPR/ebLNiRaFgzdNOjYSCemX/yVUjhV09ia1lmSJCXP8t5gxWiDMpq2a9nc3t5773Hqu6/DLooR22pHna3rui/6oyFalhVkyWjXaOBDNFr0X9g1172JUfh5+ykF8c8EeWr6Jnmfkr870btszHiN9yfZsQns44Wgp25HvXmcqKeSn9JT82ND9Oaxr8eHnUTjzXO438BHevibzWycqMeG/evN7g4si0BZBMv22QVKa6zOqYJB274sIr6GGG/4Xr4Qj7jwROAtgg/799yvOn7Ve903vesZBMH8qP93gMXs8qDVXmziG587Ftb77/U3vQ9JBzAUJu3v43i94lc8enp+2HTi+d8HKfCWzWKO0jUHbz8hVY7V/JZOWw5nM6bDgrpt6KzqGT5ZlnFweMjZtmW13KJURZEPyAYFo6MxBwcHbDabfj168eIFbdvy4Ycf9tcmAo5Gi5eG86Kp1Sr4lKhfX4TtH7HR32/+45Q9gjLWi0mZ9hbjLdY3QIM1CUk4X13XMZ1M2VQV1nbMF3O6uuHw8IDTs1Ne//IZR0dHfPzxxz0otc+KUUpRVRUvX77EWst8vhDDuqolTTOMSTg+OuKP/+iP+M53voNzjvV6gy2F+bRarfjyyy/puo7ZbMb777/f7w911fFL8ylFUfSg42AwCGaBVciXtv39HOUDz5494+XLlzgnxniTyYSiGIbnwNG2DdttRV1XYWJvefnyBU0j5oI/+MEP+Mf/+B/z4x//mMePH/P06VMePnzYG+zdze9IU3hw8Jiy7frnL01SqiYkonTtr7t0vz3+DRxpkjAK3i+Rzp7nGV1nxWjOOokMbWWilyUyLW6qDutafB/nJYUoCvIiI88Lopt7bJZcHF4Ayhiatg3NmA7NhLD5vPfS3Md/i0wJfdjLHSKxU9YHPx1o2o6exh4aOOdDhJhS/ZRcEcG6aDgmkYF5kTEej6QZDT8vy4ckWYb1iqpuei25R+jokmFu8HQYBQmyPqmmoqyqPktcE+nwsv6nSYrHo9s2/CyHTpIdt1wpvNe0XtM2lrLe9pPn0OnIxD42hwpSk1K34reSpCleKQZpikkSBsGkVRtNlqdhnZdI0ra1MgHzkCa5nBMtrv7SpAhIMR6PUUrRWivxscS6QFJWYr2hk91AAu/BhSY/tFzCMJC6It4PxHtCEADJad+DYSJ4I3r5LqzdwaEwlOJC7Y0TO4XCYVIBLfCermvYTfTvA/cQBhBdi7U7VpjUExqMDukUis52NHUTx+308gGkPhuNhW2h+0GCnBf5FNGoUtJrfNjHsJ4sG1CFhCmtAi3fSySzNiHdoWenuuCOT89yhQCYKPb2dWngxQNCaiKvRWYhQJcYTcrzq1HOyjn1GuV2TIFYq8a4P4WASnXdBOCP/np5HYYMgsNhjJJmFS+xkg5MKslPCsVoIn4NJssxSRquDfgusC2cmOx2XYtB6nQ5H+FzeC+yXVvy4PgpA2Po1iVX6wXvvP02RS4GtkkiRoDOOSajMfN0zng85vLyksFgwIcfvM/F60sODw/55SefUq+W4oUzHPH69QW35Q3TyQSlNN6I/1OaJDSNyIGtC15OnWTcexuc8nt5xR4YExk+XuQUmjCYUOyGQkqT57J/21Y8TpwD7TWdB5VZkkzAReccaZIyyAuOD4+wXcd6vcIrODo94cGjx/zsF79gPJ3y4Te+weHBIcPBgKbpepaFs46mabm9vQkDgDUXF1cilew83sDxwZi/+3f/Dn/yx3/c1/J1J6lt8/mc6+srmqYlz3L+1ve/T7leU5UlRwcH4CzDoiDPM/Is4+go0OKd+LtE6XZdNTRNS2c7rm6uWa6WKANpnnF8csLh0RHOWVrXgVYYEhrf9LX69dUNWic8OHvEw/O3+It/8r/w1z/773jw4JQPv/EeBwcTBuMxw8GQX/zyFxydnPDgwTnPnr8iCQNXAT4leFLt1elvHr+x0Y8Xsteq79FiYxMcG7lYlNe1GDt1XdfTa7XWTKfTe9PC2AzuN+GxSRNK3s7RPRb48fVtlqJ0Sj7I+9fq2o7OetquoW5alG3J1K7R2G8S9psoGnGv3f++/UY/SRLSosDrrI8W3E0XBbGOjXVZW6yPi7I8HGmW3tP74zqMk4vtnceh+2LZhubFuo62dXhlSLNBTzHT4UI6EO2T+zqNpqcbqp1uPzaas9msn3oOh8N72nGlEpQvMEaLIYsxuACm3Gue+HqSgN2bdrz5a/zeNwEdgBaHU/RTmnhvxfe+Q+53fx5/1n6qgQqoWtW096jtv4rK8uZkOAIF+8eOGtf1U+V9pkA8h28yBmLzuX/ESXycTEaX+Pj6EbjxWt9zxY/vK2rTIwDw5uvvX+N9evd+ARDf9/7xZuMMO4Br/3UW601P/YOwBQRWaPyS4cX9e6K1wrjZP3oZy957iJ85NuupNqTsPsM+sLHf3Od53uu+I5gYm+/d9dHYTvH46IA//Nu/z5OR5+LTOa+++ILPP/kZj5+8zaMnb+FC0+y9Z7PZcHNzQ3Ry7zrPVxcvePbiKx64hywWC7JMJt+z2Ywvgk59uVyilOJgMiJJkz7mCK1pg7NwjP9y+l+t0RcJye6eiz4X3vsdiGYdVefQ3qF9R+pbUA2jtCA10jh0XUfbyWdbXy9wmztGqeLp06c0dcNqteY73/kOH3z4AYnZ3SuR2rzdbrm4uODZs2cB9DVMJmPm8xvatgOVopXhgw8+4OHDh9T1FhOcwz/55BPm8zmz2Yzz8/Pe1PL169ckScJwOLrHYBkMBj0rKd7X8/m8v183mw2Xl5e9xn80GvHgwQNmsxl93rUxGJ2RGIseJNzdLbh4fUFnHYcHRzx5+pimaXj73XdZrVb8k7/4C3784x/zwx/+kD/90z/l8ePHgcJvRCZQlpw/evorgarfHn9zxyBM3mG3jseEH+X2/C1C/FFnDFqJ50TXNWKYFJg6YrSYhP08OPO74BljTB8xEhuB8VQK52h4pvDUTfjZSqO0GHcpbbBOJrOWHa1a+aB5x5NkWdjA5TABXJA+P86IpZhOdDDA1fLa4s4emEuJQak00IIlZcB66BzBoT403G43ifPWSlMmc2kBY43BO09TyTNXFAVJloWCOjLeAnBuJCnAOdH5A1hniHiyCrrl2Hh5PNbL9FwlwgxMTYpODEMU+UDSL2ZTGaS44OytFCitSE3GdDYBpaXh70LSgNeg5DqY0MzI+wosvK4NzMNQn3UNHmiaTsBqZ2m7LjRU0kCmJsFouS8UEYRXYcTsgyGZTDjjlF6FQbQPG6H3PnhASKMv96vkxMcpNmihsuODGZ+T7G7lgwv6fZlpjAyUnxEloaASQ4w40725486VP0pC3N7erJB7ZX/NtaFWT5IUpYXa39lQEymDV4YuPB+dtSxXNzR1S2ISBvlAmGTEmEeQiDuLQxrogPf0e3psIeNUua9DVIwnlLhfCaMXw1wbgDEV55ZKzgVxutozCHVoekA5Faj9IULRBdkEghG4CKwFmjpevFs08tyoyBAOevMkLfBawPV4/3edw5twTS2oLJXIdyfvSSv611AabF3z6OyYd58+oWBDqeDTzz7ls08+5Q++/wcMRiPqukEZw3q9ZTGfs16tmY6nfPThR1xcXvHTn/6U5WJF21iKLMeheO/d90UuiwCC0jdpWSO0IctyNmXdN/TedRLnG+LiZN0ROEWxcxZTwcMj+nN4drVjPGdeQd1U1A3YzrPdlOHfKowHo1qK3GO0SHTExFPWy8V8LjWNVpw9eEjXWTabLd/97nd57733MCbEa3Y7s+uyrDAm5a9+9C+wXZS+mMDUkoXIti3vvPseSmmapha2RV3x5YvnrBZLDg8OeHB+LGtO19HWDZqQruIcw0DPH45GtK0ww7wTqbWADZ75YoX2mouLS3704x9ze3vDo8cPee+D9zg4PGBblQJ0eRfOo6SX3V3f8vrlJRrN06fvMB4eoHXKe+9/yOXVJf/Nf/Nf8b/8z/8rxSDl3/rBH5KcJpyennJ4fMTtzS1FXjA5PMaYhIhbO+tRv2GA9Bsb/cvLy74RhB1ttKelBzrzPsXZWtvTSuNCAgQ9myxcZdCv5XkujZuPpkcOrXRP1Y0O5vsTLa0127rpEeW4eMSprNDTBxifkdL1D7HSO9d/+aeBVrspe+QexMxDNKZx4mpQpmDbOJrgqL0j4QUKkJPmXAUXfTkkKiQuYr28AUWSZr0zpjay6Hddi+0kvqFpZBqapplksSqE6u8jEhyoy04mTPuH0qKvnxSDHqhwJqMYjRgOhnRWPBW8h7qRTFbnHYnJOJjmfU6rC+hVpMhF6n7b1v2fxyNO1+PXvo490sTilPzee82ksI/FP+ykFZJNK0WG7SxpJlTCrm3xhOlweAtGK7qmpQ2eDFIwZL2r7P4hLJA9czm4d43efP/7DJR7U3i100rvv8abzIajo6PeLT8yYaK2HwisCnk2sjTFJxLvZ7sOpYVW19mOQTEgSdN+ISMCKG0bmmzRl4mm9L77PPh7cgsQs52vuXT64LegdCi2dhOde9ctTKt6fSTqje8QWq3vqXHh3NdVyOoNPyxsKV0XNP9KYRJF5yJYkzIYFL0TcywWZKoRYh9NSjbOSYyhrqP7sjhCe9syTBXvvfWEQZZSlnMODw9599Ef8frVC370k5/y5YuXnD96TNM5ttuKFy8v+PLL19zeLHjx/FXQUHlB2zdrnHfkRUFZVUEHqcmLAW1rAw1xF1mldIjw64v9kHUd9YoRLX/j3BKmGm3XoZS/J+Moy/Ke+aPzCp3kGG/RXij8kdamEil4bKCWpUlCMhyK8UvdMBiN6ZxjMBzy7nvv9c90VYlR6Xy+4Pb2lpubGyaTCT/4wb/NarXiX/xv/xRjMrK8oLMy7R/OJhweHWJty/OXX6FoycuOJDG8/fbbnJ8/YDwe0bYdn3/+OVVZMxyNuL65Bg0npycMR7I+iWFlLf4DWcpyUaKNYblc8tlnn3N3N0driUScTic8fHhOUWRy/dOEtm16o77lakVdVT3QkCQJn3/xjO12ww/++I+5vbnmd//W3+If/n//Af/5/+s/Z7NdBbNtz2g6RpsUnedMptNQSEixqZTBmF+PoP/2+Nd/LJdLYGcUds8XJuy3hGmqtR1NXeG9Y3YwI02CgVjY12NDJ8/RLi5sHyQF7k2u99k1kXYZ/p+vUQND3dHXLmpXP8nEeffS+2u1bdqeGSDJPIbZ4XFgBQXadWKkuembJBVqg515Hj1DwAd2ACEuS1Ik2rYJhndeHOm14ez8PEx3W7pWTIIdQnHWcSKJwlmF25vSOyUyqVhnERpRF9d4rUPjJhNybTSzgxOKQhJJlILNdrMD8q0jSRMm0zHOi/mt8yoU+0KtzrNBOAfywbqupap2WnX50TvAcrlaCdBsxICvbSy1b/DW91P/6WRKFqSRGGnyfWj6fJz6+9ige2lIlerrMR/+zvnQGHjxiZBrLE2RVrEhjdP7Fu8jYGV7gFgpaYqk/o1ggsg9tJHccZOYfvru43Q57OEgDJjI+Iu3sgr58CYxZIFttRta+H5a2Tv6Y8T93nkBwbTC2paD2YQsyXCN0Od7ZqSS96O0xyQhDrpnEXic7Unt4XMG6YQSua28T2GsoiVZSqMwQYYh8o1Qvato7ugxiBN8D86EZ0Oj8Pr/396fNluWZOl52OPuezjjHePGlJEZOVSONfSARlc30Q2wQQEwCtIXsgmjSb9Fxl8gI/QXZEbTF32AzGgmkRIkmgDCAAJENaqqqyurcs6MyIg7n2mfPfigD8t9n31vZiVBEGgzwa6X3YrIG2fYg2/39a71rvcVdN8DeCR5E40iIc50ay2usyg8WksRIt0LpTRZnoM26OhkgVMQXDwuL8eWdOuUaHIQNIXWZEbcBapty+//7m8zHhXorkZnGX/yN/8jXrw4488//JDlcsXTV58ymU64vLjk2VfPuDi/YHG94MMPPyTL8t6h6+z0DJ1lbLc1FxeXjMdjYQf5IPGIElBtoi6EJPBl4QkhgPdy9v2cJGojyPrBYG5rvYtv05zvXaX6tiMgaJL/QZp3XgVc8IyiW1PXtL1F+NZaXp6eYvKM3/29vyKteU3D7737DuMoku2s4+pq0RdULs4vUDrjnXfeRaH56NefklpbUlJL2k0MVV2zqdYYpakribsfPLjPK48ec3R4RLXZcHl5IfaNIXBxfo5ScHL/JLKoJPHl+rhV0bWO9ari8uKa1XLJi5cvOTo6ZLlcsNlWHBwe0lqLsx1FntNZy3a9JjjLdlNRb2v29/Z54/U3CUHz+WdfEbzh/Q9+wN7+Pv+H/+K/4L/+r/8B/9V/9X/mx3/4B3jvWSyXTGYzxrMps3zM/tG9aA+dkmY7geFvG/+T1P0hLb/v242bUqLyr1Yr8jzn5OSkB91J1Aikb8VqqdhvXUft2lgpHeGDQedR+Cwo2mrbMwJuVxzTGEXwaHQUWnFOaD6DobX0vHsvD39RDMHWDpSag5H0mGRZzMhr2ijGlr5DG8NoqsnnY6xraeJmpFzUJDABGxyjMJKFUsdsJLEq1lmUdUxMRtCKDk9WlH3WtW1a6cXHYIoxo3wkleAQaGwS3jKobCccCLLpd368C3iMYTqZMJ6Mb+CHvb09oYpcXbFaLWmaVjaB2Lc7GpUYbVgur3sAMbTMG4LYIUhOQP52D7rWundrSMeWRPRuTL48gEqbhACYqtog1QNNaQwq14TM0HU1vvMUJsMYjbPiZyzZe+mjNEb8TEPwNO2yT0rtqt2GuvI9DT9ZLqaR1PJT9TyxWZKS+G0wf/t8+mROrFSn+T/srU8tFWkTkY0E5oX4sLddS6kUOtdY23Fvb9xXc9etp64jUyImrUbjMegQLdtEimQ/G0k1xnV0riX4QJbfBPpCd7uVeFGqF2eJ9SgKdVOoUBEFl3zAdakStetp3T1/epcR10YChKzA+5uODyOT45TBO4fbtiy7Jc7VvU9526nBfEv0WocPR6iQozAo77FNh69bysIwyoP4QbeXPJxv+ODeO1QXz1i3Nd97+gSTK+zFijfe+xHBWb76+b/i40+/4MWi4arVTA4f8hfPP2ezbqDbsrw4ZTwtWGxE1HLRVLTnF0wnezgzk37AYoZzgW0YEVpHQ4E3jq5tJcnZ1RQGxoXB+zZWmKTK76LCtNYabfKYoIOxnt1YA5Ng5XC+oTTeZaggAYsPHmMm1FXL4WSPPJ+hGFE0a46LksWq4euqoRiXrIojitGY/LhjfDCF3LKtV1xeXrG4XtF1gbKc8Ac//mtMJnPW6y0bHFennu16xLqB1jTUo5b50QxVbGnX1+TrmtXFBdNXjnnw4BWODu+hVEbXerZVYLvRrFeaLz57zk8+/CmPXrvPq+++hs8doyJD6Y4yh2azpttuGSvF84tLnj8/Y7OyvPbkA5aLJb/48495+Ogho2mg4yUoaLuc5XLF2dlpzxA7ObnPK6/cJ88zqqrhJ//DV/zyl7+gXpf8r/72X2e5fsmTV+/zv/vf/2+YzAxnlz/H7E9Y6DW5GbP/6D5kI0yxh9F7mOBYnncYM+Ju/OWNg4MDUvueaAcNghwl9Nm2bqi3NUVZcvDgBKVAfO+l6lsUOQqNDgIanL3JPNJKCdxQxIpo1wfIEvvsdFB2jDX5ybNCrKS06Iyr4IUOrlQUdFMYlYkFl4l2vbEA4YwIo3ktOj9FMaIcjaXGFgLaFDE5oQnOgncCqlUSvxN6udCbe05A/P9ooKcUXkNRjjDFSI47WAgJYEltFq0J2qOCQeso0BZCD7JCrOEqNEGDIZBlApmMEgFiY4QZUY5HlKOR2PnFtWxcjDDacHV1xfNnX/c2w1mWMZqMKUdjTGawTpI2VbXBu11bI8B6XcU0RKJ7h0hl3WkxlKMRZWSpHR/d60Fsf21UVGkfjyPglPtsO4uNzEwXrPxEsUJxUHDgfL//pxbSxPYIwQ3obvTiYd4rCF3/Pc5bFotrIOpUJcZrKqY53yfZFbuQThhdAe10n3wK6f54aRVIDlHS5pU0lEwif6BUwLmO0bikFwCUXIToEUYdAplK6fpqDIGDvXlsR2nJtbBBqm0trJYykzi1r7QTq/FS4U2JKWLlPukspAp/iGccghKbSOVkTvaPmSTLpY1il15z+OikIakBHZkOPhoq6ljEiwQX+f6gBJDH62eMJi/GBMRas2coeLC2xWNwXgQw7aBgoVTS3o996VpH9wuPbzYU+YgJLa7z7B3t8f47b9FefInWmsevPGE+nbFY1zx+8pSjestf/PkvWK/WfPnlVxAU0+mMs/ML1usti+VLtl1DZiKThxYXAheX1+wdBKqmwUTtK6UMoQs4ZXFO3MCkI0NsdoNXGJ1+JddYxUKonJqX+KpPqEXxRC1rmceL9gIunbkkerwwBIKSZEHd1pSlZRIKgpe17eLsXNwqsoLFasn+4T7WewqV8ejBI+azfWGNZBmLxYrnz5+jtebg4ICjoyPm8wMWq4rNuub5i1M657haroSVQuDho4c8ePSQ1nZcXl2xrSpOjqU9cTIuUSHQdTXVZsWL589Yr9dU2y3/6qc/5enTp7z/3nvCJEKKRk3b4Z1U9JeLDZtNwxeffYW1HW+8/ian52f8+uOPefOttzg8PpQ5oUTM0bYdp6dnrBZXGKV59ZXXeO2Vp2gM5+fX/Kuf/pzPP/8KrzI++P4HLJuGx09e4U//3n/GZDqjsY7j4xNpCYvzwTqH1hlaGXFzar9bL+g7gf7R0VHfq5mo+8MeYKBXU8+yjOl02oNBEICTbLJavXugdoIGO5uPEDNIibaZwECi/vfV3SgOaGJ138SMy206eTrW9PsUTEtvve6/v3LSezekvCdBtNSekCisKSOfxarrze/cCVekkQBfSo4oFS11Qvx77L8yWSbZQnYZs3QOfeUu9qferhinXt1vY16kf9tutwOBQ33D5cAY02ckh/ZqiUqdrn2iCg/F8BK4S/dvOC9SxXtof3Y7cWOdJeBuzK+0ee7o+66n8VprWa1WPdU+gepUEUnvSxX5yWTSH5fcz4LJROyS6rruf3YLvbkBztN7h7aLw2ufPjdd6/S+dF9u6xIMGQG3xQvX69WOlhrvZWK8JPq+9dJDJoJDohycFwU+vsaHgApEZ4t0H0BnQmu8efw3q+2/aTjfsQsxblaf+mSZMTfOE3ZaG8MWiLaRYHJoCdj3R8b3jEcjfJD7s1qt6KmkvUOB3JMsF7qiAkwIGJMxGx+QKY8hYFQgNyNefXJAnmXYrqPMMy6vrpiNhLI7HY8oi5zXTw5577eW/ON/+Qv85JCPvjojFAU1QgGzCmpnMXlGiP2Gzvmdsu/guZNe0Vg5UCI4+c0RvrFeDa9vmnPpv3/TkMz6N2+itRbfNYBiPBqzt7fH+cUp3nu2dU1rO958+3sobVhvNpTliOlsxvX1Nc31Gev1BjDcu3ePB/cfc3h4j/WqxnvP559/waeffBrXQ01nG9bNhnvuWNaaakue5/zgBz9gtF8ync4wOme7bVmtKs5OL7m+XnBxccWHv/wVZ5dn/M2/8zeYTifoyOrcbDZsliu0DzTVlmfPnuGKEY8ePeT9dx9QljP+7Cf/ijwvmE6mdF0LlaXbdHRbofp773n48CH3799nOpX2gOvra549e8FPfvI/slgu+Af/t3/Ak9dOqJsrgnKcnZ9zovdj8k/jfKCM60ZmoqVfV7FatdS1ZTya/cZ7czf+7Y9v2/9SMj/hh9FoxHggxKWUrKeGGBeHgPWWdtvI/usGwrzGxP5839u7GZNJlbinVO8ELnd7dUqY3mQ2CY029EK4pAq491gVe9dD7F1G2HiT6UR653VGUEagrPeidm4ipVkpcLvKcCB6vHsfjyQCQBX7/CP1PDGdJCEQ9wB262hiC4IRH2wF5WhGEleTH+HqemUgGPkTh9YBrQJZZC5k0YlAxb5xbXTPithsKmxr6WzHweEBip1oM3oQ/0RK8d58L4Lj2HIZRMneedffm1SBDUEqjH0cMpgr6c9UnMgL6bNerVcEv6s0e+9w8f1ZEZMdWpOhwAR80KB9tIe2uCiM54OL4NyJM0FIon8ZWucU+RitRFQssdhmsymE5B8f4+XkahOTHyhuzPvOdTRtJcwBQtTIke+QZIHaJWUi0yMlfyKCi8A+MVji67xUp3WSY1MySYZsDo1UWAmpX9uhNezNp0DAKo8jJihu7V2J7t0fC+n4ZM5KYiFq2IQdHbD//zBgVdzaFhMTLiUrBie7+wyl4h0W9kPErnGeZhA8WWQHqXhsRDaFs5azM7HZlSJGsncMfYuejv+NCuS5IR/lFCpnjCdTDoPntccPePn8K+amZaTkWrTOMdvbZ75/iLOeV195lfW64hd//gvysuTTz7/gs6+e0RpNqzVdEMZClizynCRDNuuKtrHcf3CEc6JfIVphOwHLZEkpzBcvTIh+7ZJjT1SdQGw38hqthw5BaZ2QC6u0im0S8ZKrQTuEiuyJ4NGZ4fDggMODQz775GPWyyVt3VCUJU9ffxrjKNU7Ul1dXZHnOVdXVzjnesvf+XwuRZiw5euvX/DZ558TQuDwYJ/FaiNJyXgoddtQjkY8efIKe/OZrBFx7evqluXFFauLaxabFZ98+glfffUV//Hf/V/HcxCW+WZTsbheUm02VJsti8UKYzI+eP/7sm7lGeeXl/KdGq6XC2kjsk4YWhHbPHjwgKODI6YjsRGuNmsuLi75+c9/zqeffoEPsv5v6zXjSc4XX37B90YSm2XFTgNMGxPdImS0TcP19ZLvGt8J9J89e9ZvZuknAb2kwJwo+0oJhVNrfUPELE2w08VlD+SHdOgUwAsQDOQDpWVjTN+rnCZrWgyH4GsIMNNIAGkH8vIbquI7wTP1DQ/z22AM6MF66rlOXuWpt9c5h1f0j01/E9r2hvhg0JHuE8Flsgv7NtZEalUYAv/hGIrAJUCVLAVTkiIlJZKSdOqBTde3B6paU2Bu0IJTRT9dv91iofp/G+ospPel1ww/K4H04ai2C5zv+uNM6uDJsjF50SeRNKVUr7o9BJhpHg41JIZB4TBpU+YlZVkyn897QJUECtMcGs7JYQ/8cI6lhFC6D+l9SW8ggfyhnsDtRMhwzrXRmiw9E8MEWH9cJtkwBnzX4ghcXZ7Hin1kpCiNbtO9G4r63a7e7+Z2Gje0KwAI2Bjc3p53Q6A/TPoMP+s20E8VlfTspkTY8HO1VmiynhGUNA1usynqZiRUVAI6ODQOb2tRctaijTEZjTg4PASk1WN/bwpWAqmiKCEq1F9cXWGVYXx8yL2n7/M/fvwVo6ND9nTA1SPC4ZRqfU2mwHYSNHnvqOuGEEzPChErp11LyHD9+NcZaY1L1+b2ujYEGN81TGbItSQYrbM0Tc3p2RleiU93VhYcHR2hkKRQVhR477i6ukQ3NUdHh+zNDxmNphiTcXV5xWKxwdrA6ekpL168oGmaft42jWVxveTy8pJ3nz7l8N49xpmmchVVVRG8oq47msbyyaef8OEvP+bevQfUdU3XdTx4cF+eN+tRHrabDU1Tc3l6zma1pshzHj55helkn3E5Z7Wqef71c2zXkRc5q+UKU7SsL9aURrRI5vN5b9/nvdB/Ly4uWC4WvPW91/npT3/KRx//iv/y7/+XvPbaCeUY5nslr7/+BGsbmi6Qlzl5PibPSqQoJRVEtAccgTvV/b/MkRwuUlI4z3MODg4wZkdr10pFX2vHtqoIAam29hVWAQmLy2tA7RKmec5sPhfbLRcV3Y0hHyTNtVKsNxvathFg7eyNqmtZFBRFifWOxfXiRhlW+lmjB30QKrKOVc9E+dZKGD1SeYzVdZT40WcFOssl4eQ6nA/kZdR08R7ntlJ18gL4A4HxWJLaTdQ20lHUL8tFqFNpyIymyCUxImwhATG5ke8a5SUBAVg+srziqkvAEEQCGxVfIyJpAhBa52m2DY1v5UwiANBJkVtpRmNJwo1Ho9jqRLpgAsiCj5ZY0oebRALFpk7sAHsdBAU+aLK4/t5ss5C1eLPZxBiygSpWsCNwrOsW5yxaS3yLUhiV4zWsNmu21Taq5IddciXFOH6XBFLKR/X8RLX3EKQdQqssnRxZrGZrJaJ+3st88PFcEpDsM0QKUmtCZzuct9Krn2fRVEwAn9IByaskdl6If/c4+SMmilJcGWMbpVHa91V2rbUIPytRtAdp19BKCdh3DqyNsN7glWgN2CCimDrSt3tKPSrGLwmvJ7tAmUMCLAVsah0LeZGCEIJQwHEKF58XBSJ4F+OGHmn2z7kkI1KVXZKC0uYgiYsQVfhFKyE95/Gq9MkXAJPn7Of7A9erLBafRBRR/NtlTQAwSjPKC2zVQA7aSBvkw+N9Rrkij0kP6z1N09HULZvNGmcD88mYuq7IRwVvvP09/j//9J9Q5xnlyT2ODo8I3nF+ei7PiZe1qussdS2gNstzUFFOMa4/zqd57oTt4MBrJdcUqeTjIbiowh+fdK/k99bKvFCxQhTYFfjiB8h3aSXsQqWiDgUErXBIsbQsCupNxfXVNXUtFtyajIPDI5z1nF9c9gW69XqNMpqTB/d5/c03ZM5pxfViwXbboY1muVzwxRdf0DlJHHpvQcN6vWK9WfP+99/FaJjOpnRNI2xu62i2W6rlig9/9Sv+7M9+wnvvvcezr54RnOWVR48wkZmw3mx6FvRms+H89JyjoxNeefwq0+kc8JxdnPPFl1+yrbfs7e+x3W6p6y1d2zIuSg7me7zy6HuMioJgHd4F6qal2m5pu5a33nqLZ8++5te//hV////099nfn3Jy/wgQ2+Dtdot1jqIcUY7FIhIt89R70Vxpt9U3GMbD8Z1Af1j1TUFrCKGnkKZKa1mWfTCVgG9VVazXawFQQD4dR6G3HTgbAgQBo52o08bqagJ9CSgMe72FvtR+q5ga3BRNSyMde5+ZAvQov1F1S+8DviE0OPRMT5+Tzld6VcINoJ9+PxnYhbW2Y9Vs+6xyqlama5EAYgKRw2ufXA7SsNayWCxuPHDDav3wJ02CBIKHgnDWWhH16tyNcxwKLjZN09POh+BFKdUzOYa/S+eb7vWwJ344biwWwIsXL74BiNP7YafcnoBGytAnxf7k1X27fUApSfVeXV31ADId22g0unHeO2C6E9z7tmNPv09zJDFb0nEkpe6UaEnXIyVZhvcnuR+UZXnjOg4TJs12w7bZ6WKIMFrGaDxmOo6JJMCqWjZVI9SsgBXF1cEQwcWb+g63WQsSpNwE+um5G1bXvwvoD0fbub5KMUxmDK9DlilMthOwTAIst+dzVa2l6obH4AXsB0tTrXBdzSjLmDw57LPDo+jwkGUZ6+sFhYHNekXX1Fg6/uLjz3l+tWX69D2yvT3K/Q2jvRkj7dC25pNf/QJXb6lDS9cl+8ma3EjizDkfxWbCDaA/nLvfNXbZ8h07Zfj79G//OkMolia2wlQsTBQ2LEvujY5RecZqteL5189ZbNYU4zFt2zGbzTk43ufw8IiynLBZb6mqDQrpZV6vNlxfX/cuGCkpkRea6UwA9v3795kaTbte79ZG56MOieXi4oL1es3h4T2MMfzWj36LV155QlGWXC3PudxUnD5/QYZCB3j8+DFvPH2drijYVrY/p4vzC3wITKdTfGgxKMbjMQ+OH3F4eNgnk4fPtFKKclTyxpuv8vbbr/Ozn/8Z/4//9v/FX/8bP+a11+7T2YrgDUoVzOd7UIwoiylKGZrYtzwqNUWhqWtHtV38a92Pu/FvZ6T1PK2d3ju227WALh/biAYcFwEWim0tc6BtGgkelWI2mWFM1ieyxSM8lgOVVJOHLYomJlFDCFJRSTTiuK+EELheLIVdomIFPe47WiVSr/S2a6/BgB/sXyGuEW4yiqDai0+9UpH6Dd45WufQClrnOP/6BU1dg5J9UVgnLlr1wdqu0TolWyMT0giowhh0kGrQRXUFBGbTKcm2N8sLMm1694C08qhEe45gX8CfkKO7tmF5vRRgpzQq0+hcMxpNRIxMCQAyIa2NGVqbHZgDbCv3KtXk5L42EGL7YrwHq9UK6yy4JIDr+++Yz2Zxz5d+bd0D/djbbkSsrK7rHdAH8jyxOolJA8dm0+B9LKB0oqYuenYiABxiXBOcl5YMnZgLXu5hSCBb0XYtihhXZSUm03hvpZ846iTkedbPc4j7bdPSWWEvoBSZysiMiBH2yYVYUdZaxwTSAMg7S+NsPNaAc4lBt9PaEZV6I/T7DIiUbdh9ToTEbLYVtm0JtgPbCXhCgQ4EI8wYk5mdNoPkKOKx6dhj7vtnKCTrSQ0JqCdtpvQw7+af7o8FFXDORo2FHbjv14KA6NYoHbUPTBRRjJ+gNDr4KHYYohWrjbFMXAgUck595/nuOZTrEcXsvDzzOurvBO+oNhXV1YJ16Ci149HDfY73C7r6ijDKUCZaR7qWtq6xrdivLWzL18+/5tlXXzHd2+Pw5B5nOmN6eCitQUqxCp5wvUZZR1AeG9uRy1Iq1iEKHyewnxwLUlJR/mPXFqH6/IjqE5deiRaF3BgpcKSEpSSdvkGroG/NUDHFFHYsmqZrxVLdigD6eDphbz5Hm4zLq2uyouTF6SkHBwfiZ3940Lsgpe8SYWGLD56XL17y4sULLq8u0CanbmscHQRh4hwc7TGfT2jqLW1bx9Ybj/LS4rXeVmzarQiM5gX7+/u8fvyU0UiKbav1msvrK77++mtcZxmVI54+fZ3Dw2Nm031AU9db1qs1Z+dnKC1s6fFkjA+eUVlyfHjEwXyPMjcoHwgm6kd5H+9T4M3vvcnRvXv8o3/0T/jlhx/zp3/6v+V3fvdHnJ29pK4bDg4OWK7WjCYTpvM90Dux6uBsTLJK/PmbxncC/dTbndTuE4AZUneHwHm9Xt9ICADR9mhEPpv0QiNDWm8CDk3T0FY1rtmBCK11H6gPRwKtw+rXMAGQguUhuErif+nv6XU6U+ITGYYU75tAIx3fsEKcziGdB4CtOqQ9awdek51aAmuds/37EygfVkYTaJpOp/35JSA5TI6knwTIE2MgvWZYDU5K3enY02u6rmO9XrNarXBdx9gU/XVPVfKqqvr3zaK10fDaDI9dnvXdn7dZEcNqf7q3SofdtYk2fOmch4r1af4l8D0ej/tzCiH0iacEfsuy7B0bdsDS3DieBOhH0SN7MpnQNA3L5fJGn376juF7h9Xo4XGk5FZifAzPPQWMyXN9yJRJyRcBja5vl9hut6xWKzabDV1nI+VS9UI7uVEURnojvZVrNB6N+oDIOdvTC3X0wE297lrfrHyk67c7LjBZFLwZjHSPh84AQ02NIfNn2EIyncwJQd5XR0HO2/NeaU+W0T/zQ6ZGz8IxBpONyLLY24mIeGoPXe2pmoq6suT5PWazSNcKAhD3ZxOKIieP6sJtCCw2FVfLNQcnj1htG15eXGFVxng0ZlJqMldzcHSP7fUF1UZYS95JoJeNcrLMYK2LFX13Yx1K43bi6tsSAOm/h/TS2wmU28mTQRogxjoiSmOdMFXqcUadR3XxLKMYlTTO8uGHH3KyvKZ1jgevPKIsSx7cv8fMyPO8rSqapsU5UbXebrd89NFH/OpXvxJGTZpfVq7Bj370I95//33yPKepNozKkqapAcW22nB+fk297XjllScc7N8jywoW11Jdl0qGMH62qw3WdmRZwcOHD3n84KEk9/KcLR2basPHH33Mh7/6kMlUzmtvf0xWdEyPp5wcPOhbrVLLkPee1Wolydquo+02+JDxJ3/zj7n/8IDtdo3Wj7l37wFtu6WzLUaNyIo5ZTHBOWiajrZxKJWTm5K6XlJta+7GX94Yj3eV565rsbZlU62kyumj7WsMRoP3bLd1pK0LyMjynOPjY6nU61woz5l4t3sCNoL7dugiVDd91dUkobTEtoo0/xCr6JKwFXbM8FlOwN9H5WplknhdBA5BxKoIgc47nIqe316AWFkagrfYzuKsp+naG0xBoW/v9iodAtZZnBcBX2lDgGgUjnZCTVZRrbocjVEKinJMNnDd6SvsUXhQBcNwxUn+APFMKcuSeycnoAOj8RStlbBelFRPu7aLjK0kvJqjddbHRc556tZGppTcT+88Lu7TeZbHfnNFUeYU5KggSURZXyV47qJgb2IRACS6eIoB5LYkIneMSUzq0xdkqrxn227x1uK6lmCjhbKPcUB8T64U3kQgGEGiDhCUgchCCEp+J6/xaJ3iAX0jDsiynFFkE/T7SALnSsCpUmIFp3QUL3Zpj5a5L+4jMp8S+6UXnSSentJ9DDKdTmOLgEan5EtyjWEXR1pr0SGwXFxhu4bgHETNisxkct8nY2HIZLpngeZ5al8NiJd76FkUBKI+rVSgk+1kGBQzUKp/Vo3O4zOYnikbmTWi0yTPXvxsnyr10RI7E7eNIooWC1NA4Z0Vjaywo6ena2+yjDza66kgFVTbRU0opSiLPD3eBMAo0Ln0wrfRlaNptnR+w7icMxl7quU5h9P7oIxU0X2gaxq87VDA+fklZ+dnzKYTQteIjsPRMbqxjDDM8pL23prl9lO2doMNAvaDVhSjEnKh9CfgrVDgBwmbfr4ZVFwTUiISjCRskAJPiJojffbrVkGv/3t8dz9C/J0S5X3lAs53vLw4Z382JytyyrJAZxnL1Yov/scv+dFv/xbnlxdyHuMRh0eHlHkha5ndzQVnLZ11fPHVZ/z0z/8VWWnEerzQIkQcLO++9y6vvfaILIONaymUJDC3XUOGZrVZs1yumO/v8/i1J4xmE04ePeTdD95F5QarA1frJacX5yilODg4ZG+2x6tPXiUxhLrWsVqJptH5+bkIMaLYm80ZlyPGZcnR/iFlkbNZLSHqUxEUneuw3tK5jq+ef8Xe3h5/++/8R/wHf+33OTs7Q2vF62++wdX1gs224ejkhMl8zmQ6o2q6yH6JjmgqEHxH2/zmQtB3Av2rq6u+QppA2pC+PgTXQ/GyRJ9OtNssPvBDGzsQ8JM+v2kasI6MHWU5AcBEk06L1tBGK1V4EzhKoGPIAEigPIHHIQApR2PJ5MM3KpSpsp8SBEN6+tAGKiU7imlJ8r8cLo7OuX5THudTVLGz7ktJgARmhov+8L9T1XdY0UgU8dsPXaKrpmMYjUY9GE5AtKqq/rONMRRZTh6PPX1Xup+pN388HvfJk1R5TiB1mFyw1vZ9sumaDRM8SQtARFqG3qqh//zhXEvq90P2w/A1sKsgD6v8CZwP2zbyfHdf0/FtNpteQDLd/9FodIOtkb4jXdtE+R+OBM5vt4GUZdknYoBvBcGJbZIASpo3wySPVpINTPdiMpn0z5g2Btt1NASadotCLIQErDnKsqCz7W7D9xrCLtkA9MmGYTLIuopvA/pDsOqc67U0hgyF4fmJ2NCEG9A0nvPwuWq7ulfXTiOJJvbPp7WYXJg4mYZca3KtKEzGdHSf5mDCuMx59723d0k97ynznG1VkWnNdruh2m5Zr1ZsNltyM+Lpkzd4uW6ZT/YpxwpcB67FqIK3v/cen/3qZzx/9oLRaNpXG1L1ReZouDHn009anxLrIz27w/aHoWd9uobfbKXYaR+k4UOvphNvjojAjEYjNpslm3GGDr6/n1meo/OcxVq0LlpnefraU2azmVxjV9N1u7aoosjpOs9qteTs/JymaRiPxyw3lVh0bpdMD+b8rb/1t9g/OGC9XjNRim1VsW23rNcbXr44w3vFdLLHK6/s8/LFOffuPWC5WPHGG29QFAXr1Zq6rsmyjAcPHvLw5IRpOcZ2loaGKrYIXF0t+PVHv+arL7/i4eMjqqri1adPCGrLtJjeYOSk9aNtW54/f94/L48elWyqivXmmh/+8AM++fQjrq4W4qjiFUU+xVnDfDSnyCes1xW2k6rodrsmm2nqZo1z32SS3Y1/d+Py8lL2iK6JqvEtzkdAmzRaiNVzpciLnCR41xcDghdR11GBDzHATvVjBcpolsvlrmUpiBOe0LEj9V7vkumkBLrWfeuU966n/UrVj+gEdrPSKgesUEYJG4iAKXKJR2JLgFJSeROhO09QjlFuKPKxrBfsrGmlQguQCbiM4mZCLfd9tddog1YZmZEkpdaiwj4dTyQRbC0uRAu5WBUPIUR2bkpPiHd6L7AWEyDp9S46fxitMXhR+PZBvKi1MATapqNpO1yAqm6EVo5QfxVxv8sVRSYe7ckaUSlJ9ii1AxihB4/C7lMI4G+7Ljq9SAJ0s1kiNP9dNXsyn8VqtyTBpd8/A+8wgq0lRus6nAJi9b0sJB4R8CzgUnSXdknd/n/KgfYoJZ+vtBfN5njNUuU8JSmFUZLAbhCNg92UAegtz2Q/AQZVW7yjbUXBvI+V+2KH6eMp0azKyLMcJQckn90XioTC3HUd69UKaXdrCMFijMJkBZnW7O3P0CjGU7FtVnmGdZ7F9QJvLN4r6rqh7VyfkyZIu2/w0neszY4aDjBKcXdMdvSOBQpSBT8xITAQnCY40zM0CAEVYixmDDoTpoGO56mUxigtQF7Rt2IM9+W2a1mtpeVUDCxi0k8p0AbHztFIaSVtc3mOURmz8ZT8aE6htoyyNb/zW2/jQ83JyTF5biBuH5oAzlFkhrOzl1TVhtlsxNHxEZeXl2ybmny6RzCeYtNxL8yYHT/h880FX2yuCCltqDUHx4d4FF1r5XkMqX1C98A7zX1hyAgFPOmFKJ3FNgpFUDaK7+nBZ+lBBDdcxhKzKRU1AkZJi1DmFdpKGu786lrsPI1hW9fUTSP2oZnhxekp26bmRw8fcO/+Sc+8kWSW69uSlNZcLc45vTjFKYsuNG7bMZ6O6HzLwd4B/8l/+ncpi5xmW+G6VrTRtMHZjmfPXnB2dsb9+/d58Pghk9mM+w/vs7YN9x49ZNlUtBtLVW2kFWJieOXhY+bTGU0j1n6ZKaiqDVeXV3z8yce8ePECGxps11LmOfPRmCIvwHvqdYWOejCttWzrLZcXVyg0plA8fHRC6ln64Pvv85Of1JydnXLgDpnN92g6R2M9Y8TasY1Jj9VywXRUMhqP8LZlsfrNffrfCfTPz8/74DMBvyGtFOirTkPQmsSPUsDbdS1N627BBRnDz8/yklzpG9TkBHoSYOorwYPNMgHE28H17V7iBDqG1dN8NsaHnZ96T/0ZVJ7Tw5ESDbDr+07n7pwj68RPegh4ki1bv8EbjSqyG9W824B/ePxDobPbYFpr3YvHpd+3bSt2NIPzrqoK5xx1XfcU/Pl8fgOIeetoVpue8TD0J0/XYLFYsFwu8d5HtX6xUdxsNjcAtVIiqJGAagIxw3torcV68Y4dsg+GIC8F7en8h/PsdrvGeDy+AaBut2nINVUYM+6vV5ofw0RWui+3qeW7DXU3V24L0KU2gNTykIB9ap1IgD79bsgQGIrNpcRSYsgkSr8OEuSlKnWaE861bNZS+a+2W6zmhtBgmkMp4TSfz5lODjB6ckM0MFXZgZjwEarjcKRrlFpAUhJpOF93VZRvJgiGysfDBGFaL8oyYzYrv/G+28C4qleSrVcBo8RDvmsqSqNptxtee+UxikBd1xzszdFGEXyH7TpQEuiVZUmYzgjOcKVrHh484J/983/M2RcveeXpGxg9Ig8N2tW4SClN172rtxhT3kg2yTP57TT9dPxpPg/P5XYv/v+soeJcCqAx6GAIQSyZUIkRIQks21iqpiZoCSivrq54/OoT3v/g/RuJXB0FsbrOstmsefninKvLJcliJ7UQCWMm8Hu/97s8efIqTV1juo6ts6wuL3l5/YK27cizkqdPn3Kwf8wXXzxjNpv1ya/rq2uysYg8zWYz7h0eMcoKJkWJ8oE6boxr59msG3714a/4+c9/Ttu2HB0dcu/ePVSsJhZZQeh262NijlxdXbFardBac3BwSFlkoCwXl+fs7U/54Q9/wMXFJZPxHKELO0I+pihmdF2gayWYu7o6jcFHjfMNbbf9jbflbvzbH9fX10DEIspHMTLf03iJNFGtdropBM18Pu8tYNuu6/v4AXSegdY4Aq3rpMqnVdRkiKJS33g0Q/98GZ0xjl7wQ6aii8Fptd3inSMvC0aF7NXrzRrYAf/UtqWMZjafiniVj8JuzhOsJbSRdjoU+iRIANtT1CN4NYqgDeVkgjYmAkbbr7NZnpPpLFbId445wUWvaBOrcwpU6vVNFUI0ojUgFWodpEwtlX8FRhGUIVgRPeyaFnyHidbJ2miRPVewrWsur5cErSjHUzKdGEwRVESf+qbdopwE3m3XDGIG0QCw1oqn+2QMIbC4vkZpEXaVfuWb17qnuw+o7j6eP4hLQ11XBCc9+8F50R4Aqaj3dHn6ZEMsVfRzhgHZWyVrMi2JG5OJjazWaS6lCSa2aClu2cWeiUo+mIGJfh6S4F/6F0UqnhRR58aYDKVVD+Z1RMuhL7x9E7r1TMTh10bAOJlMCN5R5jllnqNRzPcmok7eNNi2wXU162rL1dU127qO36EipVz3YH86nmIKYZWUsYBHTNTVvYUtpP5+lQBr4pvHP40xZGVOFttcQkDmDxG8ak2ITJoQrLTt6tjuMDh/7wNZrjF6p7HUdG183uLnBYXyEJwTJkHPvIA6smC9UyjnMWHLSK94fDIiN8IuMMrgbaTFB2lR852lqrfszeesK2lLefDgPr/45S+4uDone9Ti60DegQoeE+dTwMaZIYkHH8Ku3UYR22rS85lu4+A/Bvdf3Z4HisHrop3mINWXEgcgsz09AyompTQpLpFWQuEJKOzAPcMkIqKCqul49OgJv//jH7PZVr0TGkHUJ1wILBcrvvjiS64W14i1ubQ5ta5lPCoJ2vDe99/ntddewbY1625L8IEWz/Nnzzk9Pefk3gl/9Nf/mM2mYrVaMdvbp24taMPlYoEuM4KCyXjM4YN95uMJGeIMFSIjtdrUXF0teHl6yk/+5Z+xXKz44Lfe5t7xEc5bca4IWUxaprYIUD5wdnbOV199xeOHjzk8PEKjY9LZAp7f+73fBTx7B4dcXC2EkZIXBKWxLmCtKEmuNyvaesN+mEfm1E1sPhzfCfRTBTlVy29Xl9KkSaA3PRi3K7cohbIN4db7hrRogNA5lNupvyf67jDIH1Jg00jgaAgY+wz+IGkwrKImgNuGnXf6MEmQvmMIMvI8vyFiN2Q0hBDQjemB/nDjvwHYtaJT4UZbwbDyn441JQiGTAa4KSwH9KD+9rEPQURqOyiKou/f3263fSBsrYUQmGZl/94E0NPxDZkMt9svYFexHDIQUj96ApNDQb31Wnornd+1hiQ6YrrvKXkwm83640rn8pvm4nCDTNXW3VxRuG4nspdel/QKEtUsXe/bzIF0Hul1t4H+cP4B/TOTkhPpPqW/D495b2+vT6ykazBsS9FakylHaeQ99XZDVW1YXC+om5qujYJ/wVO5DusdRhsm0wllKc/m3t4Rk4kk4VxnIjV08PmD503uqYfWfiMOSAm/NBdTUmV47revhfwpnrvDcZtBo5SRysKt+zqcgyEEfGuF8xccwVuct/InUI5y7p0coUygLAuKPEchlbzWOQgW5VMfvWJmxjzeP+Ewn7H4+oL2uiLc6zCZRnuPrxuaRoS9RDdE+m9H43FM9kWdh+6mYOPw+NMzkuZWWjeGbUT/JiNVLNOGqoMWmlvM5LdNi5+6nlHVtA2d95hSkpRvv/MO9+/fp+la6nqLbio2mw2XFwuur1e0jadtXaz4X/WJuKIo8Mqxv7/P7/zu71IUOdvtliJ4Tp8/Z3l+Trlf8sYbr3Ny7yFd51kulnz++ec4C599+iVfffUMJh3Hjw44efCAcV5QmAzXdKw3GwlmouaB7YQldHr6kqvLK+4/uM/773/Awf4BzleYzIgImeOGpsjpqdjsPXz4MM4vaLsts70xdTOmrre8/vrrPHr0GO8C1jratuO6aWhqSZgkx5b0zG6qJSjLan39b3TP7sa/2bBW1scQRLhXmQjEdQLuUqFLgBdE8TyEEMXSiO4jCsKu2m3bVsDmaIRXgXv3TyCAbVvaukFpxf7+AUbtKN+icr/bR4BYOd4J9IJiMpnG45P/eZ8UyaWtLy8K0AIA0rhB+w+Bpm52PbRaYZQmaI3JM7IQ2X5GgmLvPJ3tCD4wnkxFf0gFsboCCOJCkOu8r0SmINSYTGzwHDjXCSXYBYS7KxRfoYQrkgq/j0BfaRPhl/Snt22Hdx14i/JCza+SNWhKCqAoR2M8cv7eB+q6wTlZ14xSIjIXFcKJsWYSQEt7d2L6JeE4ofjG/QtJyOcx9pjF/n3px5e962pxDfG+OCdU8M52IuSmNCqLtnVBBHFHk7FYXfV6LJHuHZMPKR5Nc63XRUDsyW5SzC3iHy/zN1XpZT6k0n24MS/S2MWZaYNOquoxuZ+ZmAjQiYSR3tn/2RcwoBcPNEYznc6i643qW26N0agAeSE6EjruX511bE83+GC5urqka6V1wiOtXZ0V68i8KMmKgjzLGY1HaG04PjqKrIhYyY+INADTUdk/R0D/DKdqvqD5aLeHKOnbCCs1JgJ9D97hjIgcYgJaQ56ZaMNnooaGaAv6rhN2RgSQSmtGoyKKaOr+OVQE8BnKSeK/qjbC5FAiIOglX4WJgP/J/fso58izHGMUru1EgNF6ms6ilOdwb871coG3ntlU3GRWyyVZloujl4dMGbES9kHaBIHZdMbF5RWH9w53sW6swKd+/OClxcUHT4gK+t4rvNcxP2Vk7jqH11F4M4jOgRd6aFR636UDTCpWxUSUFAgMhJSsIzrpGNAZELAerBU3G0NO2zRUiwUBh/ct3//he8wORGW+q1tM0CxXS66urri+WojoYNfy5ltv8eL0gouLK5q2Y9s1uEpRjgt+9KMfURQZ1WpN8JZqvWG5EpvDv/I7v8Ph0TFVVbPZVPzqVx9R1Vva1vLs2TOy7Hu88uoTHjx8yHg0Auel7cA6QmfjOqCx1nF5cc0Xn3/Barni4PCAH33/+2RGi9o+Siyvtce3HdeXIiT7/MULFusVb77+BnmWs1osYuuVogmWly+f88H3v0+e5VxdX/HmW2+wWlestzUaTdN0rNcVewdztDZsmwp7JQy3zebfsKIvfcFdD05SFW84bgPpVPW8AbiJ/XUDcJ4W6SHVlUzoXQkU3laUH9KYhyO9Jk3yYQV9+JOAXQLuzjla3/WUr2GFdUifTed5O6FxO+lQjMq4Ce7Of9hvHYKI8S22G9qmEd/7AftheOyJWj8EALd7xlMyZViNHgKJnn4Uv3t4HVLlOVXYNQptfQ/YZrMZTdOwWq16lfssy/r+8uG1T8meYSIlJURSQiUp6Q9bGTwe7ekr/SGIuFYCkkmVe1gJT8Dw9khU42E1PVXs+wSKE9CSrkdqL0n3OCVvEutjp6xq+/NPv7udWEnvv2m7xI3rPrwnKYmR5lMSr6yqqmeCDOnqsqHWrOoV22orlfsEaKzcs6IoGY1KlM4YT6fs7+/31f8095NdYaYL8mx+4/lI3zmkr1nXcruakOY0cIOpkOZrSuak8+zZET51pt58dtOc7KsI/iZb43biUCnFaAaEgHcdyrUE14Er6OoNJ0eH3H9wQtd1HB/dpyhLumYrgZeKC7DtaOuaerulerGmKOZ8/ekXLF6c0y4qSm+YqJxMBWqrUG3Y9egqJyI5B/coizFlURKCZrutCdS3L9eNNWeYME1ryP+iij6Din6QiotsRlL3aDsJCkajEeVkTOcs61qU908ePeTHP/6xBGYhcHl5hd9cSxWmajCm4OHDB5TlBO80P/vZL0Sln5zFYklFh57tkmNtvWVdVSyurnny+DFP3nqlbx3xXp7RFy9eYHTJn/3Zz1Ao3v2dN7l375j9vX0JrH1AuUBVbXEBcm2wnWW5kiTBYrEkEHjttdf4rd/6LUnWdh3Owep6jW+ExZEYSaPRiOl0ysnJSd+K1rTb+CxrlstrVqsl08mc6+sl4/GEvb0DGrVBtkdPVdUslwvqumY6GwOB/f3Zd26sd+Pf/hgmXn3wGCW0d61SpTD1pMbnlIG9ZSBS0dP6I/TbPM9RWkTyYmdzX8nKjWEy3gkAmmF1VsqMu+f2W5755Puuza5CrbXmYP9gUChTN47L+WhOFmSl1FpAlw6BgBZVa6WhV8COrTtBKoQqV0zURIBurPiGmAzp2UfW4oKAr6ZuWK7WEWbqSMdWGKOiLWuO1uJNHdSOCaeRvmmlpArqvMfZFhuVtn0CBNYTvEWF0LMP19UmJqUD1gaCNswzsdAblSOI7Zs4Fwu2ksCotg3r1RKU7/ft1E/eF1JCBMSB2JAhFomS4E7rd3JQanqavY4MAEYCWry30vjgJXkenB2s0QGvxDJsuGzvEraBtm3oOpk3k8kkzhsB+qp/bXqfi0l34vHu2hC1Fhs1qcrfpE0HiAkDK/T+1GqhvFDhUyyrBomIQa4gxepNU8dKdkZeluACq5X0MFdbESw0xjAqS1Rk3AI0VU1TbwXYuBbnOzrb4v0uLtLGsBfdH/b3DxhPpqIVU8Z2T79LoMqVS/XpyCBJcVScn+n4pa1lcCVCkDmdklDkAvZVTOAESac4ZQlKRIENsZVBJfAa75GKjIFIQ/dOKuMhgtfUGqSVRhk54tlsTiRygALvIdiW3GVk1vL+O29zcfYl5asPRRvIOVDSbjnOC7q2Ax+YpLbkLOP6esnp2TnL5Yp9JZbBBrCuQ2nkuYzXaP/wiMOjI0Kk12dRm0RaiELfvpLOaRdX2ng+6fr7uJZF3YdeiV8hOYEd0O//1FK+MX2OQYtTRkBsTcmAHKUCzgc66zk+mFEaqLdb2q7GEXj9rbd4//33WK1XZFlOtdnQVA2LyyvqumY8mnBycj+K7IrTgffQWUfbeoKyTLKSLC+4urpis7zEti1aKU7u3ePRw1eYTmeEGAdba/n6xQt8gJ/+9Oc0TcM7770TLQAPsG1HCOCtlURgCDHmDCyXK66vrzg/vwCl+N5bb/LWW2+wv7/XJyKrzuGtw7cdV5dX8doofvDB9ymynKvLK0JMGDuESdTGRBOA7To2yyXT6R5ZMWJViWuA7Sxff/01XdtCCFjvuf/wAZ37zS5A3wn0fZbJ4hCD9awoxNoiz4VGZox4wgcXKSSy+BeFLEwo+sy3a8Jgk5YLVqvdohYIKK+wLvVf7RTPh0MphSOQFwVFkfcLj7KdVHR86DfDYcZTvtKLP2oQxVsC6FD0C4bKRKW3LEusFfCc55m0zHVykZXzGGVQQbxclUpxgaJuql6F1cfvyTKDdY4u+tCvqw0Xl5fgPSbL2K5HFEUp/X0DOvfaK9SACWCM4fDwcAf6uo6ubamieFXbCi257xGK9kCZ1uwfHgEKF2lGsv/F3rGYFNWKvgVhmAxIOgQpMTOsdg9/bvdjD/vYEzAcLjAC8MSGxZicyXhKkecEhCabZ6DIUNSxdzcnz1JvpBeBOdsRgljAFGUhr8kz8b3ODJtN1bd09Jnr4Pt5NazSJUAfQiAbjdCjEowRleCYKQ8EbCdJG+cds0m5O5+YUKmaSlpLEOsXSSLIJmxUJsIh1sVeT03nO6pmw3q5RCmkiqwD1tU07aZPegglrsO2HV3Xxl7CnNHejEmcJ6mdYjadkefyDIqgUUB7hXVi7zPNx7ReUdm6DwCHCZSUFPHBUxipCiTgn55L11narqPuLLkCHW7Oie12C7Gy4YyRTSQshIqHJCXKogAFeZbLUhQM1nvqgeuBzCdFlkWrnxiclHoESlP7BktGVnimRUBPDE9ORvzorQPqq0tmBjInCsHOtoxNTk3GqlpTbxu2VcPXZ+e8884Dzs5eUOqGo3FHff4JeyfH2KbG1Su8296wwpxOZkzGY/JsRJ6X8fny1HUlwfpvYB+l53s4726zkNJ7hq0kw/aIIbtHG43PoggoGYECckMVOopc07o1TZnz4N6Y6STHhZxxBbX1zOYjWtuyvV6g85zr6zVucc10OuPRw9c52D8ieM1isebs+pLzsyvybIQtoOsC1brlqBgzNtAtFyjbUih44/UnvPn0Kd4JfbRuOjarFcvlksvFJUU55rPnn/Dqa6/x1huvczTdIwtKKkqRNVHnGd46Nm3Ny7NzvrpoGM1OmOytKEYZ9+7vcXIyIzOObdVw/vyS1bbCo9iuNxQ6YzYa8erDE4wPGGfp6ga9qbCdwtUdxiq6xnK5XGJmU65Dw8YrQjlDqwJsYLFcsl4vOTs7ZTods1quOTzcpyzGzGf737V93o1/y0MqpAEffZ5ROzNsreIa45MkW5A9FXWDJbZLwAeCjsDaSrDUxRgCpciMkfU7CvE1YafebbTGOoezArDGk8hyMzpWtaWCRgQDOrYChAQqI1AIPaxBADkgMEKAhY40fB3SXkVEPJH+rKInuUYqT/GcdVQ832wrrI3V4wiMlJK2uRT4N3UrftZt29ux5rmJVWiik4tiPt/HmBwX2TUqBMajQgi7MeHgXMfV9ZKq2jKKwDo4C86SmVhFjww9FSv6Ho2LMaGKVWOjM5SHrk3VSIXROYcHBxwd7BOCj0Kf9EGx9JpLEaoo0pVEGAqomEBXfVwn+5lU1X0Cd9r0rAAV75vJoyZQBAbWCbAWVfdYbY4sD524/LFQMirLXeU1sj+8jQxQiPMsk3g0SHLWhwR34397D1nGzj5OwEKywOtaaL2Nv9u1F3qf9tlYlAkinhh0ohKHmKhS5LmAbhtjNkLAWmFYppYQVIhtE9IWiA+4pqFrW+nht9JSobV8Xp7Yo8bw4OQB2mS7RINSkS2qpfobRHzS+aT3Je0VPVboH5FdcqS/wfE6KlH027HlvI8g1cnzkSlCJjZvynssUlmOBHTKPGc0HkedjfQF0f4P8EHiTq20mHMEHYWR6XU75PrKxQ7OY1TGwXzGa/eO2JuMKO/fY5IZMm0YTaf4pqMJnuV6hSkKPHC9WHB+ccXTN55ydn7OZrOlVBm8OGcy3SdTGk8LyqJ1hlI5bWfZPzhkVI6omy7OSdXP0SRsSWxzUgmsJ0Zk8GCyyIAIoEIkoCTmhAD8nozZxymRtxFS8TFiCpW0QGQtU8FAyACL6I0E5vM9Cg2Zyahrg1PSDlw3NbkKnF9cUK03FFmB0po33nyTUTkmBGgbS+dqLq6WtK2n7UJM8IglaQiKqtrivWM2nzGdTtnfOySowPVygdYZm03FYrHk008+5ej4Hs22Zjaf8dqrrzGf70vhE2EoWBzbpgMnsfH11ZKvnn8tBafJGKU19+4d8/DRA5SSJGFdN2xWG7rG4q2la2qePH6F6XTKeDLh6vIKsWKM60HUhwje8eLrr7n/4CE+wHK5ZjLbpyxGrDctbdPgOsvV5SXFyBBCx2w0ISjFZDb9tm0T+J8A+qooel/vvkff7hQqM2OYFJpxNuhBR3o3O1vfAIRt7IO+XWlO1T5RI9RoXfSgLPUVw86j3BhDMZqgcoNT0HVSORyPx/i2FVGemAyw3mKiD2QvaKaT/UlSqE10obiY+MC26vrA2lmLxhG6ug/Gne4iVUxosmmBStXwfpnwnsur5Q3WA8C9o/3+mqY/h4F9CIGODKWzG1Zk6fN78T4UR3v7N8DCkIVwu7LsBpTo1OM+ZAkkerpSO0p+EllLCZnhedyYK2rHmEhV3FQFT+8ZHk9qD0hsBIIhBBNBPTE7n5GZEfPZuL8G6VoabXGZ66vfdV3T1B1d69FaqqZJm0Br6SsbjUZMxqo/j6Tkn6rT6bzqqmLZNH3wlr6DgCiAOifVk+j1msd2jZEv0RFwJzaMiOhJgiHNEx881gdcGzUMuo5qu+zvb2KOJPp+33ZSlKh8SjlonZAqt1Ty0yZP46S3OKq9SJImBwt127K2NbUOdIW+ke1P/Yr9FNZQ6kI2Bx2ih7AA/RJNUUY1fO8ITbULoJxnWha9FoaKG3tna5SXcxzlOZOxzOmyyMhzUMpT2wBOaGRaa0yWxySLwgewUSiubj1ZPqIJGmXGlKVhsz3juFS89nCfx3uw6WAULBkZxiiqxmG7DttavFM0jef07JqrukFPRlx88Rldc8XhNGOWV1SLLS62rzTtWqoqKlVmFNZZjEmMJC+f3dMyb4pMDp/DNNeGz+1t4D9sgRquKYlR0j/fOtCFLUUxJtcTslDgGVHXS4LWdK6i0lBONbmuISjK0uNUYP9gRsCzWFWcXlwxGY14/f4jjo7uMRnP6TrPelNRbzuePzvl8mKBtXDeXrO0G1QZqLZr6tWCksDR4T77ezPKTNN2DZktWV6vaL1jsVjwi1/8gl/88hccHB8xP57xB3/jx7zyyiNCa3HuplOK1pqr6JG73tQcP/5d9uZTrpcbinFOoEHpFqMzQteyOL/k2lVk8zHlNOPVB4955egEqga1bVmdXqAXC6YeMPs03tF5R72t+ezLL6hzxezkkGcXZyyvHQ/n92Db0bZbJpMRJyfHTCYTvv76a0LQQj8sJ9+ya96Nf1fDRvHD6XRKWRaxkulJdHJQjGNfslSuRHwvCTJ6v/PG9k5E09L/OmtpI+UdvQP6WutI2R+yBWP1K9KsJ5Pxbv+OtWwVGQWSQI717b5C6GNSPwqJEXpAAYmVQE+t97FfX4Te4mtQsQ9UqnGjrCDPMoJ31PUWG503nJc/5TulT9sHz/XVtYDloBiVJSf3jmPCQoQ021ZsAr1z0QZM6OVFUTKbSEDZNtsdCECSAo8ePYpWcAKCvLMEZ9EasqIQwBlp7NZ6uig2l0BGCB687MdZpsF5sSRUCtuJ3pPS4uaUrq/kDEQ7ILEg0hC8kvrYNXme/m56erxLbgvR3kxAefQKJ4I4JfZshY4OBNF6LiAANcUQZTkShkMU1nU+qeLHtq3gJKGS5QJw8QlSiMifHyR/4t+6rsHajqG+TT8P47kl9X5jpECjjcQcIbIt0pBYhL7YBlJJlPYWAdw+BC4vruV7TKTsD54BH33o86KgLMqU50Gn66IlWTsai+NU2zb40MYEGP1nOQv1Vn6P0tIOQaBt19J6Ets++6sRpK6fro1K14HEkgAVIsjV6VgVAY8PliTCaLQkBbNRQUjq+KQEl4ksj4C0p8gz5oMX8KskERCizV2Euug4Z0O0B3fWkeHI9yYcHewxLQvm+R4jbdBZRllmbOxKntemARSffPIpp+endLZjMpvx/Od/jtYZx/MxpVXQNHit0MoSsCido1VOZ1tCAGddtOKU4w0RrPeJJXaChgL0Q59cl4do0GJCSg6EG8+4UlIc1JGhEgLCzI2UfaWEvSQuJQajAiFkeGsgOJSXOHI6n1FocY/KMnGlMJlhMpuKIv5iybgsefDwPqNiRJGP6JqWum44Ozvnarnh8y+fobMcrQsILc4qNuua9WZL0za89sorPHxwn6ZpCUFhOwtK0bYdz59/zc9/9udcXV7TNpbVcsGf/r0/5e2338Yow2ZdgbNoROTZ6JzLywtevnjJ9fWS115/Sp6VnF1cSrHZeYxRbLcbNpuK5WIBLlDmJXmZc+/okMePX2Fbbag2G2EKWUmYJjV+H9uGvvj8M9qmZTzbY7Fck5fXTOZzYWg4R1kUTCcTyknO6cVLCpuzXK/Q31IYT+M7gf7+fMZoLIJryQfZh5T1A5MZMhy+a/oqc6JcV1VF0zS9hVyi8g77U4d0Zqm6ZuS56e3gEhAbglGldd9bNbQxG1L7h1Ty0C9mu88ZBtiEb/YDp+q09yJkZ9uaQu9Aa6pS98cUAWxSah+Oe/fuDRYp+mD2274zgU7nHMV0DEoq40lUbWjnlrKd3nZ9MuCbVYubvegpudIDUL0TmwtBKK+p4nj7M4eV+9s046HP+VC0cShYmKj76dyTWvyQBj7sZ0/HVcRkUwL5STsAuHGMSW9gmJRIoHnYIz+0LEug6fb5qMzs7HLiDlKt16CkL0lpLT01ddULDCVKoMLT1h6NJzeKYDu6PsAUumRRFPiu6+3HitwwOjq6ITyZWBEpuSWtECMIUqnPMhP9nGXxdl4sxFbLFTNTkCyh0n1r2rq3IQpBgGpwji74PjgKhD6oSptxW28lY510KUDoek6qaTr2nGWjeC+dgDbvHE1b09m2ryBoo288H+l5HdLZnQ24LvYvOh2DP/FlzvMsZu8D41GONpquaWhbS61gcfqS0aEG/4jzswvuTWd9C0aak8l1I/VqbjYbCjMVH/drEQ56/fXX+YM/+AMRcru+Zr1eUX3Zsqiv+mNPiaLgM6wRRefttiGobybBEmhP61BKou0qSzvdiPSM3WbMpGf42z678x2zyQHT0RQ6jQ1gG0miWGdZbzacntdkvpUKmjJ4nbNcLFkv19gusDed8fjRAx7tz8jzEtuJxV5dNywWCz777FNOT09xzjKdzlh3FWWZs920rFYr5vMZe3tzJpMS5S1d3bJcriI9t+OTTz/lJ3/2E7bbLWa14smTJ/ze7/0eeZbh3c6msW1brq+vWa1WXF1dMZ1O+eEPf8ho/01OX37N1y++xmQZe/t7bLdbzl5eUC0vUMqxf3DA0eP7lCZjfzKji/3X2louI6Ngb74nCZCuZds0NG3L4qLmolrx/u/8iGq1ZjQZk2lD4+p+7hweHvYJv8T++TbG2d34dzdee/JE/qJlXeiZM33fuKyFPlb2tlW928OtjRVF3wNqAmRFvtvT4tpo0P26biK1V5IDSSNk16ZlMtNXUJto32iMYTSWFo9tXRO8BMJGmb5q3bcrKUlghhiYB7VjAAUv/d+ZydHaY22sQgcJu31ALAGAy+UlLgkN6tjulIsIW+qlVbH1wATN3t4e3k8xOmNUlL2VrlJQFgWT6YTgA3V0JTBx/Wpiu5PWQg9O62ogAsDOsrd/KGtjCASvRRws3kOlk62yj3T/aBkbwW6sDcaEiFSXjckwSjEZjxmNpN1zs1mT3A/6tbVzwgxVCfolKC77mdEaU8i+mUSLtTYCZrPkjhPFtrbb+O70EyI9WcV2jgidlIgKbqP+QGIM2LaLjI8Y62pJhBRGepW9cygVdXGinkoAAbvhNhtsALSDzHvb2cHnZmidC1BV0DYNIRYH8iKPAFVi5+Cl/1zFpFNin6SEiPeJij4jifWl5Fjq0x+PR2Q6ixoKKblQgpdEhnWy7wQr82JT13L9M4ldnLO0rTBk57M9saX1Qq8PITAdj2VGxHY/H3yf1AmI771JUhuiBIAKHtd1qABZVlCWufSoe4/zHbV3tK6L9zGLLI91tLEMhJGjLsRSd5fCSXc+zsk4o1RvZbnT6PLxefVhxxjJcg3B4W0H1qKCI4/H7Z2LiR5ZS+q6Yf9gH50bqm1FUYw4v7ikc47ZfI//+O/+bS5WKz756COq5YJqs3Obsl5Yw8JIjS098VqmDOIuKXKzKJtaTUT/wOFiUo64xvQJzdhyMnz/rlVqx2pOrUraJOclRXCe1tXYtkaFwLZu+erLrwmuJVOBIhdLP2lPtWy3NXmR8/DRI46PjlEButZjnSd4xWqz5c9/8Recn59TlmNcUKzWW5yDprVsNlsePnrIZDLaFVlikS54YfU8//prfvnhL3HOcX5+zptvfo/33/uAyXhK51q89awXSwiBZluzvFpwcXZJkRX84Ac/ICtyzs8v2W635HlBOSpxzrLerLm8uKKpa+7fO+He0RGFyTk6PMZ3gpt9Z3HxBxftWSPLqm1burbli2df8r2332O1XKFNRlaU+OAwWrE3mxGUw5SG08tTqm1NUY6/c+/8zkjlcH+O1pGS2mz7rHii3xpjIDPosAPaw0A2gbBhv/TwB+iV22UjMmgtID9l4Yc9xgmcVlUVM1ah//wh9fVm9n339wRyU9As/2a+cd4J0FdVxXK5pK03FHqn0p6YCKmn+bZw4O3PGgbrCfwOrdQSKB2ew/X1AqV3DgFJAG4IuDWKIt+dy41q/6AN4OLior9WCeyka3pbl+B2r30KgvqebWu/cY5D5fTbVcjhZ6brk8SykkXfkAkw1BxIv0uJifT9Q9X7dJ/G4zH7+/s3ziklSFJgnlTlk+J3uq63hzciQBIGVVcTFzgTlUCN0czLET5VTqyjKA3z2ZTNZg3O4WzHarmkadp4PaWnsK03/b0sRyPKoqBuW/b29m7MDZDKRVmWcl9tameAZLtkYtCyWi65vLxgvVqTHRySmR0DRiGVma6TDbZtOygzXCHvVSiKsqRvcRmcd+6J1YzdPJHnqJUWBK3IjaLQMVDtr3cX14Ndsin9Pd3zBJzSvVBKofOCfDTbVbSDPF9GQbAtbQSDKm8xRYnrJJjIyHl0co+J3vDFZ5+xpx7w4K29Pik0tF1L17frOvI85+jJPZbVmi+ef4VTgfF8xqNXX+H+/ft89NFH/MUv/oKszOlWtl9LnHVs7RbbKkYjFStEBhcGjIjBGpCYUek4hknO30TdHz7r/b28VeHXWlPmUs0ThVqDKaHZaJq6w7pOdDb29zma7zGazDBZgVWa+XwfFRSP75+wd3Ao8xorLUFVy3q9oapazs7OePbsGVVVkecFVnc0rSV4x7vvvsFf/b2/ysnJCaFrWC2XsZdQwPRqs+azL79kvVpxfHzMeltxeHKPR09ekVakEMSvervtNTzOz88JIfDuu+/y8OFD6sbShMBiseDq8pK33nyL9959j/Ozc54/+4RRrnjy+AEHJ/c5PH4AzmOCoq5qmm2L3WypfUCPxjQoLtcLqqZh2zaYPOPh8SGhzNms1gTrWJxdcK0nlCHvE7tKKcbjcf/zv1RX4W78zx+GpAnUYd3OcsmrHaVXClKqjyGAXcEgM+R5gdGxehgAIm1cCY1aZ4qsyCni61Jl3lqLN9Hyjp1AGSGw2WxurGveh96ZQirxPsIRL0nUskArLZVkEr02noAWimyquvYtASbH+Y5NtWa7rTFGChHeirVgmRdkmbAERmVJIFCMip4mbb2LQF/Wc5NFphZGfM+LjJmeSmUwspJctGgLIdAGqRoWeU45GsVksLAK+kKNNhS5WFqBJMnzTENWCKCMwGOxWkmPLZBpaT+StQdxDfEBby1NvSUEz97ePklIM+0hWVZirfSzOrWzolMKRqNd0Kti4hokyYDaMffKchST01KkKopSkgpZRlGWAo5TS5qRRA0IsO9BJyEKf7b4EBiPRrInTkq0GvUtlMOR9k+xuSt6MbMAkcFH7/SgYrk8MUJ0rNrnsS1PxcRQphRF9IuX1pAg7Yx5zmKxYLVaA1LNdNYKqyHu60pH1wYTmQYoTC72a2U5ou5ELHk0HqOMJtOZPCuJto4h2A6UxJh1XbFYXOO6SM/XkkiRtvGA6yzNdksIcN40N+IG+ZH7ZSLrQqlYnEudOorYommkLcK1eNuyrdcEB5ocrYRxa4zGK0vrW1pSAkL6rJ0LvUAdSNLl6OhI2l/inqv7llqDDhkEzWQ6pcgFFzWNzEFtIu0dqdKqTHzi63rDF5+e8zBrefLwEB2gsyKohnOYTLFqt3TO4rCg4a3vvc35xRXbbc1iseLho9d49dXHfP/wkL3piF//8pd8ur6mqitGkzF2HWgbS7U5o8hLZvM9aW+K1H2dHsZU+NGKoGM7qVY4J+znAATX4UJqRwnRppPemSC9fwfyYxECTZYZMpPJ3MoUWWFi+05B2xpaa/Guozu/YDwa8fjRffamY7SKyRqtWK1XPH3tCcfHx4LVgma93tBuLZ21VLH48tFHH1M3Ldu6Y763J20CWcYHH7zHb//27zKdTAmhja27sgZfXV0RAnz15ddsq4p33nmXX/7FL3nt6T1eefwqZS66ACh5RlfrDSrA18+eoXzgRz/6AQd7Yl+4jbplF5eXvPm97/G7v/M7XF2c8+d//jMmkzlPnz7l8aNHYrEXApv1GikDBpq2ZbVcEbwXBmh0V1EBmrphf3+fYjSSZzIzLFcrDo5bYQTjWG9WmMyw3qy5f3KfoInWlN8UKE/ju+31Xj7vq4zDStPQV7yFSDnYKcananei3iRQM6RUparaMAkQgvTseO+ZTCYcHBzIZjmgvjvnCMrfSCikxXPYjz1U1ycuoImunsDFt1VkQhC/+cQWyLKMcr5Hhu3P6+DgoAcmw4rcer2+QWtPVf4h2E0ANI2UpEhAPB1TNjagduA5VcWHgNoojXGy0Wy3W+q67s996CJgre3F99I9SOyD9NnpXG5n64bn95so+8khAOjvSQIk6T6lQGY+n/eV+SGoSQmT9Xrdi/+la5ay5Ukkbyie17ZtDxD6KskgcZBenwQRE7gbiup9IzmjhRLtEOVeHzzz+RSTDURygIwOlUl/l6JAG029WXJ5ftZn51JSSuhP8j1GS6Y9z3Nss2XpHV0wvdhlSiClJEe6FkVWYGLQ2UW7Nx881aZivdmQacXD+8eEzqKUiwwJE3/KeK2k5aDDU9cNddTD0Dhm0ykBaJ2lbRpsZ8nyEg90se/Ne/GWDdHbNy9KvLNsoge6bMASLAUczotgiMk04/H8RgtIYnkkNpBsIjVsROtCa01eiGDkqBSLwTwz5KOcrlpgbU5jhYXQqJK2XbG4fsbhGye8++Y7NNuKLrIirLU9yyitBaenp/zqV7/ij//Dv82Xn3/BV18/pxyNULnh9PKCdb1lta0opmOUMbGnCiST7+jaDp8ZRqNJTMhpNlXTr49pbhdF0a+FKdl0W4hvyGa5nXwbijbetpXMsozRfIRC03WWXBnRLtGqf/aqqmO9nXF0OOfg6CE6z6g2NdPRnKevvsZ4PMX7QJHntNsa28m6YbKMplnyxRdf8OLFC+q6pixL2q5jPptiNPzJn/wJ7773Lk3dYIKNFdQ11bri4tk1Vb1lPJvx/vsfMN3fYzKf8+bbb+EjtdJ2HdvVkuvrazYbSYAdHx/z6NEj7t27F69Xw3q74vz8nDfeeIN33nqK1pK4e3D/AU+fPOD4aJ8twvq1tVjlgKG2nuvlmtF4wv7+EVeXV9S+o+patrbFep9oO9w7OGQv7LNta3TYrWXe+z4ZdXx8zNHREZvNpl+X7sZfzlheX/fAzHr58d5HOyl5jYqteInxB7vWmVRBl3VGR4Ahz18Sps0ysZ0T6vOupWY8GfeAMRAFSftEpgAuIhNKkkMCrBIbTYCKwxFo2iaxskHtEoFGm77y1idMO1nrpZKY4cWSHq0CucnQeUGmFeWoJC8EJNtOWFTJCtc6h4uAVYBiRlkWsWUwHsgAbKU9X2vDwcEBxmSRHab7fTQiTNnLxrH1EIWLx7zdbnHexqu1ixuk+hlQJkhLpXc9cDDaSE+vUqgiZ1wWA1ARCwh+p/EkIHj3uSFWL9M9TuP262A3H4wxlCbZue1ivsPDQ1Ce5XKJiLtJNTPR9pOhnkISK2Vkoe5iu913EkKcG/H1UUsHIPj0Ovn0pBHQJ476in7srA7y/aPRiNzsWu/kBiZRO6Fcu65hW61YXi+iyJeKLK063rtBrGSkCKGNidpbwgBYBkUxGTGbzylHpSTInEex0/RR+JhE0azXK66vLqnrrYAcQOPjffWgJKm0n8/xDjZR8VwcHHxkHab75shUgU52iunZ8IF227DdiOiZcy2BTiwfdSbXq69He0SL35HF1pCgA7nRKFMgXvKxOu88V1cXcf9NQD9H6WwA9BX1tqUsRAdqOpvhnCX4Fu9arG1ABVwH9daytBXj/YK/8jt/h68+/TXLawjRopIQMNowmox48fmXnJ2e8vLsnMPjE756/pxPP/8S0Fjvubo8Y7m6JsNhtLSCBKK9qIqWsCE6gcTYKST7QXatK+jI6tEZWkvyS9hBojthgxXPAm2EOTVgUveJgv6+J6bhbl1FgzIKDAQTYkIhQ+UFXezh90ERMAQMPoFTFTi+d8L9+/cjG2p3r6UV0uGcZ7OpOD874/LiIgojigaGUhK3//iv/lV+9IPvo9UapRRNXbPeSAvvixcv+nX3+9//gF/+8lf84R/+AXlR8tqrr7EXXQ/aTnDC9fUVKgQOj/d57cmrFFmO0w7n4HJxzcXimuOTE773zttcLZYElrz+9C1effVVWY9NbDsNnqB830LjEoMmJr4S0xYVYw4j1ohoeO31p3z1/Gu29QaVZejc0NUWb+Hw8Agl1iA9m+I3je8E+uNcfJlr29G2Ddu2pdpsZDEgqXiGnvaTRtu2PchK1e7ZbNaDlul0ymw2I8uyG0CtyEeMRmKlliqwt+n2APkol/6YuJknheUhvTUt4kOmgWRtix5QGWPA55I9H1TWUq96ek2uwWD7z07JgORLn6ychseYQGqiCg9p5glkJuB6m/EQQsC3Qfq4B9T2yWTSf78AVCfiQ9735zysAqaHZegxr7XufayHgH543EOAn74vfdYwWZDGt02w2y0Mwyp9mhe3hf1SIiVR+lMFf/hZCQSla52qwkOA30/uQRvAUNk/JSCGgVzPktAa6PDOooG8MORZSZabGNhZAV5lgYpq5ckucL1es1ytYj+d6ntq5AviVh7/7BrTB5Sg2HrTJ9XSOe3v7/dzZDQaUdkVrmljtlWu2XZbY7tOdE0zUYm/2izFCpIxJku9ZIqizCjKOQdqD68VbRB2h7NiI1aWkmgxwXG4NxPq5mJFOSppGkteCCNkOppJe0nsw+vamqYlgvXAaCRVgaIwWFvIAhfA6LKnWyZgn56z0WjUz8n07HS2YzKeUJYl682aerPq72lGg7c1VxcLxrM9XKPw1YKDDP7kj/46Tx484uLlCz779EuccxwfH0f9BwH96/WaL7/8kv39fVRmuFovWTVbvNGcXl7wy49+xd7+PtVmw1fPnrGuqx6kK2XorCUEFTfY9EzaGwmx9JwMk4Jpft+kzu3Wq+GcTEnSRGtP702aHomtId/Zgc4ospI8y7l//z719pzOSmvGs5eXQEk5PebwaIoLHY8ePqE0OYXS1N2WzraSxAmKut7y4sU5lxeLPjEm64/CaMtkMuZgf85v/9ZvS/LXidDOcrHg/PQF23VFESa89+57TPf32NQV59eX/MEf/gGrasP+4YFUGust6/WapmmYz+ccHx8znU7JsozVatU//5tNRb3d8v3vfx8dOrqm5vDwkIf3DxiXUaCxGGGdVCiW6w2u7QhBsdjWZAcH3H/6GrN7J5jza9zz5yzONlT1FndxwZvvfA8dYLtcSWULLWKTdd3re2it2d/f75k337Wx3o1/+8O2Qr11bUdrOzordHMbBOw778AL2O8LCyl4CkThV1lbDg6PhSUWxC95Np/3e8hysSQ5w2S5iKV1bYcPiUWQgmf5fG10rMojr4m6AD4E2q7FaE1mxLs+CbqCHI/WElSndY1egV+AgFdRKDVIf/3R3iF+JqVNozWT6ZhttWGxumZVtVhnaWtpZ0wBZBIGFnaAaA80TYMxmiIvmU6msp/4FDtIgjitRdIeiVQH9a79qk9Uyn8IFT+k9sQ60oE99O1MAi6JQKooC8q8FJFDLS4IKiRxM92LE6d+45TkAYnXh3GIxDgJzd+cNykB0A+16+XXRqwKCYGyHJHnIqRcN5V8kBIg1QNNkiYAPeV+CH56VyovoDL1swvQ2onzJmFGtO5dnxQQtMJ2fncNlEIp4XtrrSmy5BZhMDpEkXdJJNjOs1ytaJotAWGyXF1exv099C0iotAvrXBKRSV7rch0hjLiTFNvtwKRbYfXmtFkwv7+AUprynK0ixl9kNvrPTpSwIN3FJmGYLFdhwsiWjnfnzMyU2IfAVlhmGWT3k0gUeQT1bypG9qmkXaJqcS+VbUlBEXberRRjMoc50XAWRPQKgMMwUuV2Wjxfzc+YHxgUo7RUai4qlpBW1oT0KhcxxjEkOcl89ke5WiMTLnYex5bFbp2S9tssFuL9x3Wi9tA2zY0tkZnijJTTHP4G3/yNyC03D854teff4H3ildffY2XL0+xzpLlOZ2znF6cgxKBt6resq42TKcz2rbhw1/9EqUUi+trrq+vcV4KNVW1ieev8d7iHPjQkauSoFVs7+mXEwH2RoPRAsqVVPWLshC2QScCjJ1zwpRKcUqMZ0XgTxhNQcUbpYPYyBkX3QAyKcb6Dh8gzzJ0ZtAmwwWPxXN+eQ3Ag5Nj7t07IKiOt995l/l8j+Adl5eXknhVGV1nWa83XF0t+Pr5KQ8ePKDIM8QHwRFsi8Lz6OF9/ug/+DGjMiVS4OLyktVyxWq1xrnA9773PfJ8xHKxYn9/zr179+g6y+HRPovlFU3bsl6vaduWBw/uowgcHh0wGpW4zlO3DYvlhmW9Ybld8/4Pv0/XWTQ5B/sPefONp4A8Yyk6UArRIMgzrpeXnF2cMypK3njjLWbzGZ9/9iVnZ6e0qzWdEyeA93/wAbVtscsLLteX7J0c0LYty3WFC4rpdI5SsnfNZ3uEIC55v2l8J9Cvltc9zbVuGpy15FozHuWMRqJQ6VXK1+1GqjolWn2q3qegNoHdBI57Abquw9p135eeer8TOM/zHJNltOum70lJn6G1pokCaon+vV6v+419PB5HEZ+ScfS/lg0gi8I8O5ZAAp+7DHfAaHr9ge122/f9DQNz5xzz+bynkA9bGZxzfQUoVedBAPFkMrlhW6iUonU6amQO7kc1EDzzctVLld3QR0jXYtgmMJ/PSVTG9O/r9foWuN1t3Al0p3uVjun2ppbG7Up/AjXD0fdgx9aBRKFP12nIxhieYzqGvpI+aA1IiYMhM2E4UtJieFzj8Td7WW7ToVXYZaz7z8aLm8SojIDMc3F9Sb3dst6se/0BZ3eBiFzTJM4UK0ro6L+sURqKPFaRihnW3ryP6R6lcy5RlIOKr9bi854hjIu6ld75bV1hbU7AEkJH2+U3rpHWohrdOdt7AYcQ2LZburoW2mCn8c4yG+VoDdZbpqMxbRNYLK4py5JNveHiZS2UM7OzG7y6FsqW1mbX2mIMRS7OCOmZTjT2oTClIjApZc7KulNjawddC7bFOWn7aKqXWBc4v94wrg4xKPaLjNffeB1s4LOPPmOUa959911evHjBv/gX/4KTkxMmkwlfffUVH3/8MaPRiD/6oz/idL3FlAXj+Yy6aWm9w5QlrXOcX19xcX3NZrthtVzFtpdRH+SlpFuykBsm2W7PrzSHh8yd4fMxTLAN9ShSAiytmcPXGgKFLqKqd7TX1FKVLIqCrs0IWLatYlXD89NrPDmvPnmF1548pdA5dlvj20Y0D7qOy8trzs+uWK+3TKdzHj1+zHg8Qakrmqblur6mxfH40UMOD6Xi12wrLq8uePniGd62HB8c8frDtzg8PqJqahZrS2bk+F++eMH9Rw/FHrKqmEwmPHjwgOl02rfSpMrher1mUzVcXQnw77qOIgvMZnP290X/RdMBDuUV3ga8VVgrNj5np+eockzlA88ur3jw4AGvzA949Xtvslqt+OTTT1kslxzuH8g1rDu8dthJw3Yr9qJp3xjS9RNL42785Y1qvYlV0y111wr1PQKwk4cPRJU/2tiBVKGUiv72fRVXqOrFaIxSmtF4RJ7lfdIgRMaSd04StrUooduuwzkfixWu31d9D+ikcp7anlQEky7+jqBQmVStJ9OJVMlT4iEpvQ8qaDr2ycow6CDVLaN0LyamFdSbDcvlNZt6jcNjvcUrjzKKLJdK5LgcMRqNRZjNSbW31y3wga61cY3yu2tkxNZNKn6xChcCoev6wk4YPA+SpBC6t48ca6VCvO7pNVHEy4gGgo/CgTpaHRqVdHFuxRrDeCNVv+OfWg+SOvG4UtgkZOpk+7q7ngq5eKkaKSB413rmncPFiqnqq6JRmC0VkpTZUeoHo1/rtdy3PNsVINJ18wMmKoQb55xlGaPxWPp2nYv3SxgNmZE9wMS2veAcxahkPhnjnOXzL89YXF1SbSup7lqPbdsYg4j9YvC3XJfiMeAlRsm10P/z2ZgQmWuWgDIZ3nV4D00b41gl8UymDVlitATxBLcusK0qQrS3U1pRbaQ/2phcfnSGS1X2wfUPBPFfj3G3DpamWgKKTItH+2g2oWkr6npFXhi09lxcXAg7wANO2MFKK0wGJovJkSJDFzkmy5nN9zAqJyhDQI5NxH49bdNQZzVFMYp7UgL6AWMCzrZ4u2azvMa5js41WOeptluabosuNPuzGa89fcTB4R5nl6eMteadt77Hyxfn/PN/+s94/OQJVb3lxekpv/74E5xz/Cf/6X/GxcUVZWxpRu3aDrXWvDw95fr6OjIhk5C0tOQIg9ITgkWbFBMwAOQxkWiSM0dkjATItI66DT7ajYrIYJCuEolnnbBFFKk9ZNeTr7QievwStCQore+E+ZprdKZRxhCsFJ22bce26aitYzyb8/jxCfO9PUDcoVJL6bpec3l5xXbTcHZ2ysHBAdZG7AAQ7SVV8IyKnDLXeNdQb9fgG379619jrePRw0ecnNzn8PCAtnX4EMH94oqLi0teffXVuP4FJtMRh0f7HB0eopQwYL0KkEPXWGrXsK43fPn1M/aPjvDBc3JywmySSVJIMoL906W0oessX331OcvFkuADWZlTtw2TMOXJa6/x6tOnNG3Dp59+yvOXL1BG0wVL5xRmnGGVo/EdjW2Z7R+yf7AP1mGUoTQlwXsa/29Y0X/x7AuKsmQyGbN3fNADrsl4TBmp3zZouvBNgHW7urparfrgNlFoUzW0B/xOLBJSxStR6W4EwV3Hcrvus6Cwo7cmkJSoUQnspv7WoRBbAr2uEzXZdNzDfvJ0/LatWa/XfTIiJRSGYnLeiz2EUqpXe0/VqNsChOlzEjBKzIXhz1Z0GvqRKuEJBDvnMErjTd6DjR3l7qaYXmprGCYn0rUYWuKlCuLt4xtWy/91gtth8iONlIxI/z5kPySgFELoq7pD4D1s/Rj+DKn3t+fbt43bn5s+eyiAp7WmNIGidx+I4Ml68qLA6EC1WbJcLlhenIpQW1X1FaPbn582cR107PfTGCWbrm23eNugtCHbH38DAN/+LK3AqNjT6QVYLpfLAZsEIKDLHKU9zrU0bcC6nbvFDUaEF/GTrhUKXGdtT+2sWmHZ3Hv4mO02HqefoHGUhaHIFE9eeZWXL19ytbwgH+dAjrWWJgrkpcClaSSDPioMRbHT5EjJJ6AHeEYrXFezuGp6ts9qvaaJtPHReCyb8Oaa1nZoZWi3SwwZi43lX/zTUz78J/8df/uv/R4//OBd9u/JszidTnsWzsOHD7m8vMQYwy9/+UvOm45iPOHg+IjT01NMmbN/LOJri49/zWKzYr1esV6vcdZTllI9Cl5AgOhFZBgtffK3CkrfSEglhsnt56Nfk+KcTkKjaX0ry5LpdHrjPqpM4zKNE6ccoel6hwqWyXiCtSVd22B9xmrraJ+doXXBX/vDP5Ig1wWUd4S2Zds1fHl+ivdEEdU549GMq8uP2Ww2tK30ajZ1Q4NlGls9FtfXXJ29xHc1ZVGwd3zI4/uPmBZTqqriarnk8vISgM8++4x/9i/+OY+evMJ4MmE+n3E4EwscpVT/HWluVFXF9fWK09PA6dkZ00nB0yf3mR7sMZuNUVqRaQM+sN7WeC0KvdeXSz799DPme3P29vcBuKq2dOcX7O8f0GwlYfv0jdeZzySpZK1llMk8HO8dkBdbjDHs7e1xeHjIYrHo17aUPL4bf3ljdXUNwHg6YTKdYvKMcjwmGM1kNhVQ6lWfZdURUKbnD+iBmvNSfa/rmvPVGVW1FbFP0v4lAC/ElisfBecmk8ngdfJxy+X6RhKoF/GLQXViwo3LMdpIS2Oy/1Xx+4SNICrsu9YzEyu9vm8LEIXnFAgHOtvS1DW2a6VXnZRsUJRlgcbQxGfKRfCldDo+sXJVZifGC7uKusl2czz1TdvOCnsnhrFDBqXQe32sHiZQPQT5CABW0t9uO49vbQT6Ipan1M6SUCkBED6C91SJ3tmcanadN4m2LmClP6Z4fErt8iYhIheJb5wQ3eM9FxwsTfLJaiyVmFW8NpKQSEWE9EP//SCYRyG9sylO7KIt75BFOPwToIliXCJeF2OS6OqT5xmjvMB2dURwge16xfLyjLquubg4p9pUtLaJDJNYHe/jiBC9zUVED2vRekeJ985jcTFWiPpMWUaulPh8u4agoG0l2ZyZDGWyeD3lXlyen9O2DTpef50pJCcilXAAZSzjkZEKtBcBOBep5z62CBogeCd9zdbRbaUt9fXX32C1XrNYXDIaFUzLEudFHf3hyUlstdAYnbPdinZCwNG1lra1mC6n8GO0ytlWDXleok2JuCukmFhDpjB5AN3isDTbWhy4gqPeLlmvrnBtzf5sKvc1MiWCFfs4vGK52PCTn/yU/+NHv+D333zCX/nBBxwd38d1MCpKTl+8RJcZr7/+Os9evmRvf5+f/fxnLFcbnAuMJ5OeBT2fzcjyHNt1nJ2d4YO/wfJLyS+lRAOgiEzD4e/leRVGjTKSBEUrlA/9uhhxPx5JfvmoiyDxIlFYVJNnw2Scjuxx+ZKggiQbIzUdLX9OJlMuq41Q8Z1lXW05u7jEZIq33n6Dcjzt2VBNbB29vrzm8vIKQ8bT155SVQ3Pnn3dr+lt08aWD0eZi917tV5yeXmK1p7pbMrx0T0eP36FsiilQOySSKbj408+4ssvv+T73/8+R0dH5JnhYLbPZDolMwbrWqxrohuHZ9tUVHXF+cU551cXLDdrDvb2OTg6IlfSzinimJq2rlHAaCzf+8VXXzEZjTm+d8xkMmW5XrFtGuazPfb39+nalu+9/T1++Lu/zdnVJVbBy4sLdJGjjKEoYX4w4979e8xHczbLNYUpMMrgvKLIfrML0HcC/eAtXRvYuI56W/Xq25uypIjUxWw0I5/s3XjfZDLpq9YJxKXeWKVUT3lPr+kr6Oyo3amHPNFWb1R9y5wivykYlwJhkP7zyWTSV2GG1eHEAkgBtLdCXxomJ4YOASEEgutQbld5hB04TZ+XgnTYVenT9yd6ckpgpF7xFDAOK349XavICYMNBOg3uF6rwHl8030DSKTNI4GGYUYwJU9ms9nuPsfPTMKAqZqW3jNMlKSq+/C9iWkw/N1tkAo3hfnSZ6VjT0mk1Fe5C3b0N/5+I3sf/7xtbZg+4/a43eOcjmnIgmjbNbYRpdi6rtls1oQgAjA+BJaLBcvlghKL7zrp/ZLV8IZuRLoPWstCqIMiJVeFvgfBWbzSuKbpk2dDPYobOgrBE1zXV+F98Gw3Qm/OjNwjbQymiHMKR2cdzmsC+c4hQOmeqWO7XWuL944sz2XDt1bEZKo1bd0wLnIO96ZUW0lUGK15fP8EbMtorAlFkJ7/ukYbCEGSUtZa2q7G1R7NHGPyPvAtioJ5pMymeeG7muuLc6EhqQFbxFuaqsNbeXYy7QiZ2LTUrSLTJWwd9WbDXqkoTM5/83//b/jzjz7kBz/4AX/6p3/Kw4cPOTs74/nz5xFAXotQ5d4B9x8+YrVes642XC8XjKcT3n33XX710a/ZfPRr6raR4y4K8ryga4WyKpX3VpgKRWzLufXcDufBsGo/HG3b9uKR6blIz10C+ikRd+NzPXgXhCGidgJLzjomkwltO6KuLmltznLTMhnl5MWY43v3KYsxtu1YXl5wef6Cpm3YGsXDB4/Y2zukaz3X1ys+++xTrq4uhTbtLHmR07QSEG42G5pqhW1b7h0ecDCfMipzZqMJ3VrEc9q2ZVNVWGf58osv+OSTj1ksl7w9HvHw6JCMnYNK2iu01v01ubq64qc//Zznz76kyOGHH7zNw4cPaOprNusNZQ7BtazXjqvlBevNhnI84p33PmAym7DabFBaqPifPXvGQ9txsL8PRnO1WOC9Z282pzCG8b0T8fYNgarpmM/nvSDmbV2Xb1tf7sa/u9E1DUprtlUl63hmRB0906w3a7QxlIXoeSil0VYC0dQK0rbiEOG8Fxux6CSklIDv7bbqn+nEwlIkj/a8r7ynyn5VVb2QXJ7nEeDrHsTrpK6vFGUxYjKaxM+Xso+PivnJ014C5VhhdnJsBE0Iogmz2dYE72Lg7cU7nCA+6DlY1WGDZb1a413g+qrFuUCmM8qiQOuMciQMhqSjopXGRHcfY0xU+icmFhjs90ISN5m8r49Z4r1J1WoX/cyTHk38l57RluI8kD5pPR6R65z5dCbVRR96y2LnnbRo9G0QXdw3JAYL3sXWN92rAIjKemJnJobmLk5IQ+LFQhI5fWIigvZIR6YHRzvRseSXHh3CBz+7cTsuaaPXfG951n8m33hf2htRSlqlIsDyAYILNL5mtbgiuK6vdm83K64X1zt9gBCTVBE090OBRvfVfEkGRNed1CvtReARHVDBo/McoxWd7ViuVgStGE/FsSYgwpiua2ktkj0LUWeAKAIXAjgBkt5ZrJaq/3q9RKscdHQ0iIDf2o662qLxqBDEzzzE26EUm/Way/Nz8jzjwf37nJ19je06Hh6fcHJyzMXFFcuVqOkrrbE2B7zYF9vIvmktXkNeZkynM8pSNGpIdppGU5SiGF9tV5xdnNK1DbnWGG2pt0tstwXrWSyX1NsWpUWoT+tchDPbELWMHBfNhoPf/W3+n//t/5sPP/w1P/rRb/P3/vP/nL2DA04vz/n08y8AuLi84L/72T/i6PCYk5MHImzZNHgfuHfvHq+++iqffPwxH374IcroXlR7Np2xqSrZj4KA31FpUWposz0oOunEHor/NoybJWsWMYHDDeaqVO9F5FBxm3UTtTF07C+PbB5ikiH4wMHBPqcvnkvMGy1DlYanT5/w6tPXUUqzXKyo6w3XV5esVityXXBycsLh3hFt63BO8cnHn4h9HVIkDY3c17KQ2PLi/ILgPdO9CY/ee8hstkdVVaxWK5TSrNcVq9WS09Mzvvjic7788ks++/xT3nn3bYpihA/ShtQ0DdY1tF1NZy11U3N5ec3p2SX/9J/9M16eXbC3f8gf/vgPIWGY+F4pbFrWqyV1s6UsS95+++2dNlqMAy+vL/sWq65tqbuWdVPTBY9VsH9wwCyI44APMNUZ+/sHGC+JtjwT4UmHvSFCent8J9C3bYvSGqd1n+UtRyNMWTKOPbXkY7y5+TGp5z5Vkm9XJ4fAdFhpNFo8EVP/4xCQD5XtKWWzSaJlqWqeAuPb3zOke6fkQwKX+WiKs76vHibhpQS0nHOUuWZvftBX2YaJC6A/Bq11r8qcMuSpLzh9VhLWSuedqptD0TvZQG8C/RBCL1bVg0AUI5PvkgMRgN+ulA+PczKZMB6P+wpW2ohSwgXoQWDqE0+JiqGX/XDcVq5PYGU4EpAbJhWSdkBKRAxt9tLr0327DfKHDIbURzgUQQNu9EKncTs4H27GKQGl7IpCS1Jqs9lwfX1NUeTk8V4563BdR9VuBPhlGZ2VfrTbI/WfqXCTzpnFiqC0kRSsshmTyZSiKHrQk651uo9dtabdrOR3Viq3GkVujPSH2Y4QoCxND5JTEq1XtY/XsG0a2m0jVYKiIJ9ORI0fYdyoEJhPZ9w7PpZFczrlwYMHvHzxkqvra46ODmnrms1qzZOnT2hVG6vkGqWmsarf9vcyqZc7t2O15Hku2gNVFZWBV2hvGWvxmR6NShbrNYRIX3OW+WzOeFSyreQajSYHWNuwt7fHH//xH/HJT3/CG0czjg+P+b/+8/8LZlry+7//+7zzzjucn59T1zX/8B/+Q372s58BYiM039tnXW2w3lGORgQgy3N+8IMf8v/9R/9IKLlAOSrRKqMocqxtwSW9h13bgr7VLjJktwznb0poDV+X1jGgZwil16dn77boJF7hUOJOoJOlTUbb+n599N7TWUe1bdibzTk4PKbIS1bLFVenz7l4+YxpmfPwlUfowwPGowlt60Tl/mohVRIfKIuC5WIFJtB1onTdtR2mMDx+5TEHswkGj7fCetquO9bbiuVmzbOvntHYjuvFgtlszvHRkWhQZBm+bfrjHNrWOedYrVacn1/EfsSK87PzXsCxaRq2myXjQuNszdl5Rd2JKvLRvWP2jw6p6q0oSWearqnZti2ff/EF+vXX6dqOy/Nzmrom04aubqKKtKKJwkPT6ZTpVHzDU6vRcP25G395Q5LujnprcVWFyjMmsym+hXvzeXREyRgCL6UUl5eX/Tpa17VYBDup4N6gfQ+/K/ZRayWUdq2yG8+1MSYGbbqv/kj/+84KTarc8c/YUnA7Gf1tCXGAum5YryuMyZhO5qgYKyggM1LdDc6yXC1RKLq2o/F1rE/L8e3t70uVEqmSexe4Xixk73ASQ+VZjs6lwj+fz9BREDAB/V0wf5OB5L1nE1spdsA2XblvDgEBN8jiAlImMwwZdVXFCrWwPX0CG3F/tt73ll23r58aMAiShaJSkGU5WZbfeG36U+55Ivfzjc9kV+QE6JXpE+jfKVxrvu2Et1VF2zS9NZ3RYi83ZJV+1wgh8PLly3i1IjPBB5pqw+L6kuBbMgWTQlqz1qtVTC6ZG+yFf40vivdakZcl48lUFPVTDJblhEzTesdkNiNoxSbaVrZNS9u0Is7nAtqLDF5qp+jzQ/F8tk2Nr2sC0R1G55HmIQlksY50zCczNF40ObzHRFKF1pqjoyOm0xmHRwccHR1wdLzP8+dfMhqNuV4ssNayt7eHNiLKV20qUB6t57hQ4Dw4H/oe9yyvcF4sOVGRzas8y6+v6Lqaul7TuJrDgzl1a9Gqw/kNQUk1PS8mOCdsAIKJQL9kPDvgxz/+Mb/8l/8Db+7nzGZ7fPTrj1ittvzxH/8xB/v7FKOS7XbLf//f/2P++b/8CUcn9zAmJ02oHfNVMNCbb77F/sEBIQxXOPpk4o32EB9QyjMUytu1iOj+/sif4VvncAjR/g+Z/5PJVHRGvI/2kEOwv1sr+gdH9aeSeD39OaW9s21axhNpKzo/P6eqlnz++ScE73jzzTc53DvEmKz/nLquOTs74+Ligsl4jnMBnck8TsJ3AE+evMrh0R4hpPaX3TldX19xenrGarWSp0trXnvtNQ4PDqibVhJdg9f3392I4v8iKuZ7H/jss8/4wx//AV3bMs6kuLVaLnHecnV5ybaqmIxH3D854eBwv2dGpuvTNi2/+vBXfPD97zMajXjx8gW17Xj8+tMbN1mpwcWMQ0dm1rcxg24P9Zs2mrtxN+7G3bgbd+Nu3I27cTfuxt24G3fjbvz/37jjHt6Nu3E37sbduBt3427cjbtxN+7G3bgb/x6NO6B/N+7G3bgbd+Nu3I27cTfuxt24G3fjbvx7NO6A/t24G3fjbtyNu3E37sbduBt3427cjbvx79G4A/p3427cjbtxN+7G3bgbd+Nu3I27cTfuxr9H4w7o3427cTfuxt24G3fjbtyNu3E37sbduBv/Ho07oH837sbduBt3427cjbtxN+7G3bgbd+Nu/Hs0/n99jdjK97CybAAAAABJRU5ErkJggg==\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(2, 2, figsize=(18, 15))\n", - "for ax in axes.ravel():\n", - " ax.axis('off')\n", - " \n", - "axes[0][0].imshow(img)\n", - "axes[0][0].title.set_text('Original')\n", - "axes[0][1].imshow(rec_net)\n", - "axes[0][1].title.set_text(f'Net {target_bpp:.3f} bpp | MS-SSIM: {target_msssim:.5f}')\n", - "axes[1][0].imshow(rec_jpeg)\n", - "axes[1][0].title.set_text(f'JPEG {bpp_jpeg:.3f} bpp | MS-SSIM: {msssim_jpeg:.5f}')\n", - "axes[1][1].imshow(rec_webp)\n", - "axes[1][1].title.set_text(f'WebP {bpp_webp:.3f} bpp | MS-SSIM: {msssim_webp:.5f}')\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Latent visualization" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Per-latent bit-rate results" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "- \"y\" latent bit-rate: 0.214 bpp\n" - ] - } - ], - "source": [ - "def detailed_bpp(out):\n", - " size = out['x_hat'].size()\n", - " num_pixels = size[0] * size[2] * size[3]\n", - " for name, values in out_net['likelihoods'].items():\n", - " bpp_val = torch.log(values).sum() / (-math.log(2) * num_pixels)\n", - " print(f'- \"{name}\" latent bit-rate: {bpp_val:.3f} bpp')\n", - " \n", - "detailed_bpp(out_net)" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "torch.Size([1, 192, 32, 48]) torch.Size([1, 192, 32, 48])\n" - ] - } - ], - "source": [ - "with torch.no_grad():\n", - " y = net.g_a(x)\n", - " y_hat, y_likelihoods = net.entropy_bottleneck(y)\n", - " print(y.size(), y_likelihoods.size())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Per channel estimated bit-rate" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "num_pixels = x.size(2) * x.size(3)\n", - "\n", - "channel_bpps = [torch.log(y_likelihoods[0, c]).sum().item() / (-math.log(2) * num_pixels)\n", - " for c in range(y.size(1))]\n", - "\n", - "fig, ax = plt.subplots(figsize=(9, 6))\n", - "ax.plot(channel_bpps, '.')\n", - "ax.title.set_text('Per-channel bit-rate')\n", - "ax.set_xlabel('Channel index')\n", - "ax.set_ylabel('Channel bpp')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Order channels by bit-rates" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "num_pixels = x.size(2) * x.size(3)\n", - "\n", - "ordered_idxs = torch.argsort(torch.Tensor(channel_bpps), descending=True)\n", - "ordered_channel_bpps = torch.Tensor(channel_bpps)[ordered_idxs]\n", - "\n", - "fig, ax = plt.subplots(figsize=(9, 6))\n", - "ax.plot(ordered_channel_bpps, '.')\n", - "ax.title.set_text('Per-channel bit-rate (sorted)')\n", - "ax.set_xlabel('Channel index')\n", - "ax.set_ylabel('Channel bpp')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Interactive per-channel visualization" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "from IPython.display import display, clear_output" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": {}, - "outputs": [], - "source": [ - "%%capture\n", - "%matplotlib inline\n", - "\n", - "fig, axes = plt.subplots(1, 2, figsize=(12, 9))\n", - "for ax in axes:\n", - " ax.axis('off')\n", - "\n", - "out = widgets.Output()\n", - "def show_channel(c):\n", - " channel = y[0, ordered_idxs[c]].cpu()\n", - " axes[0].imshow(channel)\n", - " axes[0].title.set_text(f'Y | min: {channel.min():.2f} | max: {channel.max():.2f}')\n", - " \n", - " channel = y_hat[0, ordered_idxs[c]].cpu()\n", - " axes[1].imshow(channel)\n", - " axes[1].title.set_text(f'Yhat | min: {channel.min():.2f} | max: {channel.max():.2f}')\n", - " with out:\n", - " clear_output(wait=True)\n", - " display(fig)" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "4ebec22bfc1445418f7081042443e688", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "VBox(children=(Output(), IntSlider(value=0, continuous_update=False, description='Channel idx', max=191)))" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "slider = widgets.IntSlider(min=0, max=y.size(1)-1, step=1,continuous_update=False, description='Channel idx')\n", - "slider.observe(lambda ev: show_channel(slider.value))\n", - "show_channel(0)\n", - "display(widgets.VBox([out, slider]))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Quantized vs continuous latent" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": {}, - "outputs": [], - "source": [ - "with torch.no_grad():\n", - " x_hat_y = net.g_s(y).clamp_(0, 1)\n", - " x_hat_y_hat = net.g_s(y_hat).clamp_(0, 1)" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Decoded continuous latent:\n", - "PSNR: 27.90dB\n", - "MS-SSIM: 0.9605\n", - "\n", - "Decoded quantized latent:\n", - "PSNR: 27.08dB\n", - "MS-SSIM: 0.9484\n" - ] - } - ], - "source": [ - "print('Decoded continuous latent:')\n", - "print(f'PSNR: {compute_psnr(x, x_hat_y):.2f}dB')\n", - "print(f'MS-SSIM: {compute_msssim(x, x_hat_y):.4f}')\n", - "print()\n", - "print('Decoded quantized latent:')\n", - "print(f'PSNR: {compute_psnr(x, x_hat_y_hat):.2f}dB')\n", - "print(f'MS-SSIM: {compute_msssim(x, x_hat_y_hat):.4f}')" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "fig, axes = plt.subplots(2, 2, figsize=(17, 9))\n", - "for ax in axes.ravel():\n", - " ax.axis('off')\n", - " \n", - " axes[0][0].imshow(transforms.ToPILImage()(x_hat_y_hat.squeeze().cpu()))\n", - " axes[0][0].title.set_text('Quantized latent')\n", - " \n", - " axes[1][0].imshow(torch.mean((x - x_hat_y_hat).abs(), axis=1).squeeze().cpu())\n", - " \n", - " axes[0][1].imshow(transforms.ToPILImage()(x_hat_y.squeeze()))\n", - " axes[0][1].title.set_text('Continuous latent')\n", - " \n", - " axes[1][1].imshow(torch.mean((x - x_hat_y).abs(), axis=1).squeeze().cpu())\n", - "\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/examples/CompressAI Models Comparison Demo.ipynb b/examples/CompressAI Models Comparison Demo.ipynb deleted file mode 100644 index 013f31f..0000000 --- a/examples/CompressAI Models Comparison Demo.ipynb +++ /dev/null @@ -1,397 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Compressai Models Comparison Demo" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import math\n", - "import io\n", - "import torch\n", - "from torchvision import transforms\n", - "import numpy as np\n", - "\n", - "from PIL import Image\n", - "\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from pytorch_msssim import ms_ssim" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "from compressai.zoo import (bmshj2018_factorized, bmshj2018_hyperprior, mbt2018_mean, mbt2018, cheng2020_anchor)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "from ipywidgets import interact, widgets" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Global settings" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n", - "metric = 'mse' # only pre-trained model for mse are available for now\n", - "quality = 1 # lower quality -> lower bit-rate (use lower quality to clearly see visual differences in the notebook)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load some pretrained models" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "networks = {\n", - " 'bmshj2018-factorized': bmshj2018_factorized(quality=quality, pretrained=True).eval().to(device),\n", - " 'bmshj2018-hyperprior': bmshj2018_hyperprior(quality=quality, pretrained=True).eval().to(device),\n", - " 'mbt2018-mean': mbt2018_mean(quality=quality, pretrained=True).eval().to(device),\n", - " 'mbt2018': mbt2018(quality=quality, pretrained=True).eval().to(device),\n", - " 'cheng2020-anchor': cheng2020_anchor(quality=quality, pretrained=True).eval().to(device),\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Inference" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load input data" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "img = Image.oimg = Image.open('./assets/stmalo_fracape.png').convert('RGB')\n", - "x = transforms.ToTensor()(img).unsqueeze(0).to(device)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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FJE2mOUzsk0fuiidafUAxtDY2EcC8PV1Czl3iuAApTJ0AVLKXEtQnPN8VoG5tS+TQ0ivpWXF8pIBEtUAw9KL0iTREGYoRBkkhdfuNi/2wfH4KcSebEdsa+5nC3sZJimcSdWKNVMRnGcgmwJYAjpK2mjbvLn7TiGYx9t70j0QtSmR/Ll1gjdUcHbJ2iiaiYuPsNIC6SMgvBxLrA7D7oJ2dKs5JrOMJ8u8Reh/yz0RgDnZUM2iKQLRVGUQ160EUpu8txSKhrqWYK53Y8ySB0YAYAu+DpvaEnP9xO+bG4IxR1TPzsOgrjpZjboyOaehyREljmgpS9LOYSkHmSiTCAQS7OPaVkxChkxBtQDORCd5xAHW82aAYISpnRFSKZDv7JU/uf8Hb336PrSvX+OjjE042duk1xDotDasxzFlJgLtKQL3SSqjl6NFYiySFTgBU+KhEgrAUTy1hrBuvdN053fkJX3zya1566TrXdnfxXcfDxw8Rp1y8eIHTBw9ZDITppGKwbNjc2WF2LOy3C86cR0U53X/A1fEW165u0ouwsTmGszmHR0e88u57bEvH+cEeJ5cv8fZf/mMqFyIpVVSVXMcE1154gZODPcbXNnDiwixxhW6l/4SoRbc4QujwXUfdDDheKYN6CF3HoFpy4fIG7WLGwaMnPLx3i8s3LvL9H7zFeLTFySnsn84Y7Q55753X6U977jx+wvHWda5tXUK0AbXUpVLTM6xX1FUgpjpvOd474fbjR3zV9afBXWMxWyyYU43ecvSYG6cx5xNCX06hIfzDqzBrofKO6TBIdNE7Zp3jbBEK6Vofcl91BM3AijUx56CdGbCrOEnNYBbquz5b4u/MTms0CMEgWtanzMdmQdpgerF74iQSC5daQRvJYFvQsWyG5X5TcVz8nY/vcgkMLe8bwo8OH1IL8TMjEzmIn+2ySmTqEbwNWkUt3GpG2sXfBdYdJq0ZtHD1BUpYENypS8VSRhfWCt5SK0sPNF+lx2lhZlWrjsgEpCrkk8ZPDYTXaUUmZdH7j4BiOduYIg0pDS00w9qBRRByDhSx3HqGYwwMIgA6H/VQMujZKInksKqRPJNi9opDoahPvY7RpaikVnhpeSMD7uJXidwZuOUWa6xniECdPraZU+ogCdjAxkbx6tKzMtmxsbUe+AjgRUqpiC4YWQof+CQjifelNERUJKs86NWx6KJ8jWzHCJH3AYA1Kr2P/fc+govkNobIogky0ok0JpHU+jhXxXQigxiQyUPULfHCCqXzFi2MqQipeHLqePOFmk2Zc6gbiDj2zmvevuGYVisOunhvimxkoDVdkdgHIRbQehsDialCTbbE+mmy0NRXR8HdQr+fi8BZgSQoXddx/doVRhPPv/nFr3l0usnwW1UkClE34+Qoky5tJD2BIwW5eR/F5fLoixIdM4kRB5fIbO89k+U54md8//vvcmF7m9XsjK5b8fjOXbpKaWrlzu/vcLD3iOXmJtrBSd+ysTXhr/7l33JwfszV61d48ea3uH4z1k50PXVVcfvBI85WC4YDR7daMpoOGE/HiFSIuhApKsgoBKK3ubXN8vAcXIfoIEVOA+nNc1oV6Fu6xQmdrhgMq2Bfh1vUUuEqaBYzvJxydPCMg6eP2dwe8vJrL9GMLrDoHcfnK+7tPabZrNi9MOHo6WP+8PGntC/2vPBuHzFH0F4R8Yz1jJGbUwksuorzs3NaWXH96iW+6voTYfkQ2vIagT7+W1ViXjxDrOVLFYHap+KPscBAPLULefnzznO6qFgsJbJ0GFWeugqV9L265CT5qPSpihdd98Rj4RtxAhT1zeQSLdP2qJASytLAmHz4avIm4+OqCJVWlBX+b8w7h8nTA0QC09acRy2BTrDQuaR/B29fo6xKOAiXQ2PhirXboRGgLaNZk6MRGu7AvE8zEB6hMm8BjTn54AnlFuWGhvEMMrI8fGqdKE4t7BueZxLP9EaL3HUkahaKxWx2ruKPwxsjL7EZRdQlGSvNnofl9cvW90YYCttsle1erH2aoixrIbey2Kn4IOE7BrDRa0dTf4zYJECOBtAMs31X47crDTnuoLGSXyQGgrE/9nNBUHosjx7lFeeBaXwvSmWGP32LLJD4/Mp0mZjXxupU4ljFPvTYmglNcreEl6WEJEUACj0h6KPVvOR4TjTwCC6CZcjPxyZqLviTOF+tuCxhVxGlMsKkBLBvi2iEpWBsfgiSC+yeVxQlg1rSy9CWrjfabPrpYoEcPD0b4KuKjcEC+rB242Q5xssRm9WCuovzrFD0RJjEImj2d2iTrbIRAlEJ5KUK2pPyMi7OrUiC0tzUlO7SohjL5r41YjoStrYmfPjbX+Bnp7zz8re44zsWpS3QnDYJ0ZSYbhSF3tPFd5ge0UfCEgmTjxPCwvlejZjA/Pg+s5M9Wj/k7PSU+3dvMajhO6+9wunJjPuf32XVnvLP/pOf89LNl3l2/4j/4//p/8yBLnj65Bmudty48jJ/9mf/IcuzU7zAeDhgdT7n6dNnXH7hRYY4pKk4PV3SCmxtblO5YHdNZyCkXhBlvLXB+edn7N5c0VQDnLhIUIO0vfeojx1azWlnR3htmU53mc1XTF64HMZBe2R5zHL2jEd3btGMPK+8+iqTCy/Q65D29JwvPvuU/eNDtFYOH++hh+dMJ8LNS2OkneHqzRAFFJi4FVvVGUPpOTmfce/eIx48fsy733uDl669zFddfxrcY2FNWHFiHnWYCQ6hU58MrE1cCxEj0FTEnFUI24MwdNC7UKhmy6g6zYbaCfgqGgQfPKxghOz52SgZkGcDW+QfNU9oQw3z1gr9XQsnGWip5gIv4/xi5lkiuyfmiEVSyM06bqld+5XouoEkPdcmp7OfyP7MenjUwtI9z3lORY/82s+F14Thh6R+VkjygqwfZsCs+T3rhjkx8/Q7k0v4KRMxSeMVoKP0IiRGKExnJOoTySNXsWr3nFF2cWyzpIJwXAFmnrgETHPo22SejDoWKcghZJNdZZEWzd/Nxjh1ILUdKIo0DViyKQ1VzDn6EvqewTo4N9FLI0NLqdkSY+0ZrPMSRrF5oGBLLHOBXZm3N/0T8owB8wYNKIx4WRtd8Y089j6TodgaV9yFxAI20xPJNQRGSn0kJH10GEQimKeQdUZzF71STXM70zk1XSOmAC1SodbL+BDNBL6KoFPwnVyKoRQaV2p8knYmpQrLfsBZW3NpY0U993Qos26AuhGbzYp66enU1uuEvrv0xLIFpvfBY8u9zPbMwD9rQVZIh1KLUjlPqy5FU4NDFH4ITkyQ1rRZsf/kPvQzfvLjH/H7g01WOlizW2E+GU1bn79WlW/LU5O9SiAgcRpo0dPQq0pXzPa+YDwcMh5OGfVz/skPv8vVaxfZ3NrmX/6L/46+X/LnP/seL7/8EuKFhW9ptefqpYtc3rzAO3/xc/69f/8/YVAN2Gs/QdyQ6aRmfnjAydExr778CnQtTjznJ2d4r0zGG9SVC2CusfDZ0mgiSC1cunqFR3fv8Mrr7+RR0lBvlucHtPNTpJ/T9i2CZ9lB5YYhqrMMwN8eHdCw4uaLN9m+8SbtSljN5nzx6W3++le/5mB2wqpbcvv2Xa6Ox7z7zivU4zE9PhSf27z2yvHxKTM94uzoiOX5nO9++x2uXb5K7QZ81fX1S+HiOnHz2m1CmEeYwEvMtIbwk/e5eMTUpCeEaQRhUIfJ7bpQzbn0Qt9HldewFrKWMBnNe7ElF1pME0FoIU0Wq5Y2b9v0NI5lMog5D5sBz/LsLk5u+9l4gSdU9BeaSjRzqX8JBEyPyYBuocwugpjFGNIa5cJIGSh1hDREnhpKcTvOjJEIoj7ncQvD6snh2jUzlQyngX0mKKEIzNoPNroQPDoL9wbyEL2+0lDJc4bAwpKpFeElvRRLuSKolqkEI1VEz65STaFGl/xwInjEsVZJRMp0tQx7Z6KU/11gNuajZVkWuX5sKQ9piWPQr1xZbs+ySIwV1FWqaVWLedprOVHTbMmG3KRqAGkGVHWdCAQSYX3JZj+scogh0Ug6TO/L96fRM6CXrCAmSylaaumAmhhJkGAjqhK0JEvDZGJgIVEfgtMQSXShPmoTM36zt7nqA8GzYhiTRadmgK1pRv9kvd2xNb2y9rMj+/aZUoXPuvh54XrYKIRn+ZrDxZDN8YqxLphT02rNwQyuXlDcaQdSR7Kka+msctlOmqsmp9iXKv5b0/iWEg2trUQZ1J5xFWj/olMWfU1v70upwfhu9bj+nOP9h3z/Rz/iyeGKh7Mp3TgUcbnEdEgF1BWSIo1l/i3Yn9BojxW6ZlDMtUch2tvgcWdPefDkDvfufs5oUPF/+N/9z3nt6mXatuWjDz/hs1tf8Bf/+M/41utv4ICD/WM+++hzjk9OeOvP3qVqK1586002dnaY7+9T10EfBlXF4/0T6smE0WhCP9tnMT/l5OiY0aXrDIdDqgqcRLLofe5ElPOl69d58sFjlu2cUR2WxaWl2KYV6unODvGsaAZ1WFky3KbXJsh4vuL88RNm8z3eeOsVLlx9mdUKlvNzPv/gD/yLf/XfcfvJHkvf46RjPHC8++6rXL58g8OzCnFCXUlyDNyqp18uWGjL5s42125cZ/vCJs5X9N2Sr7q+Ftx7K1SJEycMUvwFpnFGgU15NIOVD4MbJrGCVikfNnBQ1TFnrdloobFYKlpiC1tavs6qgJ2xqPTq7F0Tf2egbqFpixV7sfXnESSzixkmS/oOGexiRa0VOQWPKX5YgGZaABQ/y8bW8nqWN4uhbw2VwWY0kyHVYDyTx5IqpTK1Fsyox/B7KuCKYCEgKsmLykY/Trjc7fzE+Apb424V0Sk6YqHgAhEdPoCglPnl/EwrujOQKhHLPAnruRJTMarrKxeQGD4206ipT2GM8vhI1CUjC+b15m+W7cvEqYSC3K4sZxvf3P/swdm6fXukRXjs+2XBYkmOkuyLNEpuWyQsGKGOopO4OQkGvlmoz7/XQvom76wvWbJJN+KtNsWtwt6vyWhdA8N7XK45gIJ2raEolqqwwjaLNNh8qOKDjZzbO6zILI0tkgi33RvmkxZjHcdDizmRMYvSVvUxZ10SjGgZsKFKaRY0D6QKvToO5jVXtx1jt8L54MTM/IRd94yxa5nrCFuyWQ6HRdmynhUFpXkqptoH0rgVQC1hD5FB5alqDQV/DpxXumif07dNp51Cv+DVN17j2eExv/zbP1C98RqB2GrawMfE4MWIR/jASYhthBUGZlyksNWmf3FDHmDkenbGnoHv+Jv/9r/hV/+fXzCc1nzvh29xaXeTyglPHj3l9PEeO5MJ7777Dk014PBgn65ruXH9Km+88hrb25fQzkeyoyxmJ9R1TVU1ofCw7RlsTFHf0zuPDCq0afBSMR40NKL0aomPIrJDcJDUVVzc2WU2O6XZHJPKj7VHCYXQVbdieX7AcrlEBh1Kgwy2UK3o1eN8z3I24/qL19i69AJtK8zOD3n68BG/+837TEW5Nhzz6bNnjDaEN157ka3JVtgHpmkYDqcB3AHxHq9LcJ7hxpSdyTboglocq75nNpvxVdef9NyJih02sIkKGicWcf1nQgkNDCrUwuQCCq+2bCcsF/OEpR1VHRbddISdjDSG+JW4nlSzEbLpaNEKJ2W1c4bX3uaf5JCS5X/NsA1ik1sNIBCiAy6xT2fVsuKozQhbF1kvtKvEx2rbCHwaog69TVAzWPFvq46HsGNUZYVwGiqze6xSXyI5iRXbmg2ZvT145SUcSBG+NE8QrAbf1gsnth0nO5o3frHqkeDJh6faWm+HpJUF3oYbnvO6yrbH8YsW0vptbUhGF9ObvDlLOe4ZjvI4K9loqyllYfC8EHPP4d6KsGTITLYZVyijNeHLLuodMWVkS8A6bNe2DPwhV51D+QasNh1saErfEXJEKv9mnRCYDqeiKyMHUalSLjyGW63f2S/0EXT1OVlqIhqQK7jDd2M/igEN8iqIQNJpn8LHoUkZ+DU+yfDUyHRacULWT8iyyamGkqrk32jRqNwHKb4v6QaTYbYQ9lHUcZtNKglkE8mI3++jnob6jgzHkNdIdiqcrMb0/R67054np6Fu6MmZ8MrVIWOZIzotoO958qJJFlr0zWkmYkZkckQtRyWNfLTqcD48pUJp8SFPbKRFin6LMKgdXdfz+SefcuPyNkwrHpA3iDIZpCJIza0M+XPbITITOghr8IdVSAWMamVj0DNplMlAGQ+URpWXXrjE8rvf5eaLF3jvvZeY1hXz2ZzJdMJ7P3yPK2/cYNSMOD05p3bCzqUtZucrJpd36V3Nk71HbM/niPYslzPqgeAax3BQ8Wx/n9HODuOmgmrE6ckp8+Nj3vj+zxg0DeKh9kqvRc1JmiBBZ0fDDc5OjtDNXdRXKdVj86xfLennR/i+o66FthOqwRYQ1re3izO2r2xx5eYV+lXF0eFjnjx+zEe//YjJbsM/+fO/4J//P37NHx494ltvvsyNa9cZj7c5OfHMRxMm9RBbooxC3y3ppefKzpRJVQNjFvMls9kph0dnfIt/+PoTO9SR1oEnZ90mpde0VE4oPUvLSWuKPVuBjAcap1D7MKm80go0olRxKV3nHW2fw5YBwHKYOGwAE9fMasgxVc6K7qIHqxp2stOw5C4AfJgsjWhYny+C9MFCVBK31PUF4IjV1OeiKYEUFk6V52uG2lh4ZoWdC4BoKG+gZnloH1lDCjdHQPISi46keDeWNwyTtFKSzInzN1x9Mh7KehGWGQkbHlNojZbFdm0Lm/WQQqhizxerXjdyE0yupTosxG5ekUUAcuPMC7epJcHViKCT6xFI7zGAMTYh1rF42S5wmJhj51QE8SatTPDKL1vbAoGKS+7iC0JdQOhXLzkXa4SINC658DMsnSs8MNZBq4RfjeNh6QKjbGJjWhidsFY5Z2vz87IKGJEMqxkCkVtTngT0RYTIADtKI5OxIvgskfRqSC9A2JwkgI8HDUmSvLY+KIJLBjQ+qyAaFuy2sXCxf1ZQZ3PtjztoFsdSDaTgYfLeC+JQtCjnV5P8gmZInMMWsdMI3jZPNaUzpJg3NgLC0xNH88KIDTlH5CKemtPVmM4fsj1c8XgenqFRN00HJY1FbKNkwLZ7UrQnfeN5fQqdVx+WZVZC2DPABfk77WNRnNEgZVIv2W5W3PnsC65e2mb70it8shjQVMKAuCoKoXLKsPJMG08FLHvHshfauIEW0e5LtB1OYDxQhlXPsFbGTc+kgY2BMnAB+LVdce3mhO3d7zAcCG9/6xWkF+q6oh2PeXDnCVdfvEq7XDJsABlweHLGlw8ecjaf4Z4dMDs/59LORehbVqs5q65jMt7k5OCIRd/xnXfe5aNf/hV1taBxju0rl9i9sIv2ZarGJ72EID/CLGPz0g5f/OJjLly7TsMQ2zsAwKlHuzldP6fXnsl4ExmMqEdhpYQTTzWsuLRzA5Gao70HHD66w50v77J7acQPfvAufjaGZoPtrS1+9rOfsr1xBe2Fo9k+46uXqaRJVNBpi+vmbG2PqXtPpwvOz2c8fXLA/vkh7fm/ZVjeaxGOh2Rc0cyai0+ToBL8JLDMRqV20ZaLDzsF9Z5hFXY96oF5q5xHw6RIAHqVuFdx2NVKJFTWi8KgVurGfo7DpgJdAPQqJ2PpNYB6jVCLQhWKA0TiRhVtUOoOcOoysRECe4t58xoLVWWv0fyWXkIO1ooALUdt1eG2bCd4MuGHngR52DppB6kS1icZWpFfBD0x05lXFPho+Mw0axqR536KJMFr9FsEgvds8Q4jGKTweM4rSyQhgqrlrZKpSZEP4tKqVDSmRGNQeh4awTn+beBZGDqLRqTwpOYUjYVoU4omsqcqjV2UawLK8FkfPzPP1ZahWYZdCZ5/qgFQ0riXl2VKci67CGHGOZJD/pYqCYV7tv+9F+hEqTWMfAKPtXclhE6Ia/PK+lBF0tFFApQ3a2KtMNzANwf6oSRRAnHnQ7fWHx/BuRISyCc4je+x7X9td0Kr98iauk7gQrg7LMNLhZHxC0Z0rb2iRX8K0pK9x9wmuylRGMm9LGaYPT156C6COZBIrQF9JgY57iDAWddwsoTtyYrhaUtLzdG8YknN9rClmmteWRDJcsHE4zkLmnQovNLC4Jp2oXRFG+xP2NxEaZwyiB6zR5hUPgCNwKAKEUYl3LszWrF8fJ/Lu1tcuXaNzx7MWU03GVUwrHp8F4jVoPIMB+G5XgVtlZ6KNp4FYjZKo32oq6AbvRe892HPDacMq/BeAY4PH3F08ojppOHSpR2m4yFOPIenp7z/+8+4v/eI//DmZQaDin7Zsbf/jN9+eIt//cv3mU63uH/7Lm0l7Ozs0C0WNI0DqRhUNQ+fHSGTMZPxBrtXdti5MqX2wr/6r/8N322GDKWi85qcBkkp5mIuKLim5ubNF9l//Iir117ONUsa7uyXZ/TtkmXfcW04ZOVrRm6ErWIabw6paDh7usfe/dvcvneH7csbvPXaSwyHGxzPG7pRw81XLvPu26/hV3BycszC90zqIY646ZYCvmc8FTYnA8R3rOYthyenLPuOk70ZuxcmfNX19dvPJizPk0DVZQaKKWM0/OZBITGMHD3maOAMHGyb2o6wy5FtJeoiWxzXPeqVFY7zVVhOM67z+lYnMK5jqN8pKp5GHOKUVR9qd3GhEEJdMP7O+bCLk8aCmt6AEEINgOKqSEjibC+NkJO4FESKattkbzVV+ZoX2ZNz1nkaG5iEL9phJJkgFMQoGhnL8YcirrxGOgRFZC1/66UMypbh1Bx6rjBQiAWEkSz1puLRa3UFGmYT69Io9pYHJb8zeRsEmVg/wo/2bqzl6bkZ/Ky1RAJhKmXV5kaASGvvXWxmWYwkVqRFuM+KebSUN8VKgpiGKPAi9zl58UX7AltL/a40P1eL5/ZRHhLnQ8ppx99X0Zr3rHtjJnUvEbY0t8eYhMFykmEE/DCmkO1WStCkuWzfKeqiImiGL4Yo13qdQoJDsWKvnLqwlQ8l6KT74nw1r7kMKyeSoWFsO8lFsTGlnQi74Xx2E7I8bPlVCdllyN7ejYXgC1KcDkrKcBojAc/7/lGOktsQVpIo+Ib9WcP14TENLSITztqas27I9uiUig6oIwGNzKvQ9XJ8s57YO/NAl0kK+0IlUFfKeNAxdB7vw86KQ9fTVCG/Hsi5Bw0rl4aypKflxkuv8tGHv+fxYsyV60O8dEwaH3LPCbSDo9D5sM9AIKRK7TyjsKMNrRcGlceWyY6bnsmgZ+A8TQ3OBX1qHBw9fUy7mNNsj9jdHlILHJ2cce/OPU7uPmQ8qhg3A5bLjvPDE2YHZzz46BZPHjzh1be3kjzGwyGn+0f0qtQiDJxw5859Nq5e5ejpE473HjM/r3l2eIq7eJHL165TVTGa1Xs8PhBgLWyHRlugyu61K9y+8xn+Wk8lVTrvgU7p58f07TLYuFpoti7gqgGijoqWgZ/Rnh3y+PYtnuw/5dq1y7zx5hs0403aznHw7BkP959y6b3LCJ6z4xPu3nqAf/lbXN+8iqX5FEHbBZPGU7uG09mSW1/c58vbnzG5NOG7P3ibC9Mdvur6WnDPVcblSV7B25BKypmf8nCeuIOUmXFT3DgqjrhkxTsawraTbdygwklYzjFsAui3XhnFE4Vqp7Q+5Pmci4YnTtZlL/QStqbs4+5UEhUfb7ubhTZWmitAY1YSJYTk7XmOuJa7mNyBJVsFvaaCpt4mnBgoF0VnSgSZnJctwcWUy76v+XWxQCuGaCVClZSytHXzoXX2TDPZtuTPjKIBTS5CKvpFBulk0hJ4FaBJZuw9Qi8+jKFKqmg2MLNQJ1qAePRAVKx4KbfaYVXBOa8rEtdSi3mn2bTb+n97eC7iMoMYt+hVJW8Cum4Y7YAUZ6AfEcXSSCq+eGNuq2XcbfsiOwSG4h3WkvR7saf45AnYcso0BjENEMRc1iVY2+KbE0kxMMrMIRSolp3NHqZD0xbAVr9S0iqKZ1sgMsuiJHm5p3nHvD+OuFSp34VeEeZHijAlApc4U7o/xybspTmXb2TY5pERFx+/5cSlhubstg2OJIJlumN3ljUTsYehzcWTEgk3/Rbl8emA1683TNyCI78FUvH0THhzumJaLZn7UUonFVqahinP/3I8is+Lbxi5b1wA2copVdw0TCQ4MlUdt3x1kahEAlaLUvc9u5cv8+jhbZ49ecyNV99jMuriEqxIYDQsUwx2Vll2odBZgaHzjAbKxgBqVQbOMxlAp54eYVQLIh5xSl1Z+4Oz5VcztrY3GA0cly5MWcxmOOD6jRdAoB4PcR5WixmbmxOapuHaSzfYvHc/VOx7xTU1nfecnJ7Q9it2r24zOzul9T2v3nyZz/7+fb58+pTp9hhZLambDSpXZX2WiA3pF5kg2uoSNxgycgP6fsmgqTFa6nTFbHHGYrGgmlZ4D83oIiLhvEq6Fd3sgOX+M05PD5luT3jvh9+naTaZzRacL1Z8efs+Z7Liiu85ePiY/TvPeP+TO7xy6RpeXFp1ItoybJZU2nHvwWP2j/ZZLRa88uJNrrxwjel4jKtLF3T9+lpwN6Mn4lIYziXWG7QxAYWPyqWaDJiLVjptxyrQu3BwQN97Oh/2HfaiaTI7UaoYxqmdMqqNhcPAoDfGGFWVTh29d8FTjvtMhwK9GGaszEgGFquxuE8l5OStErbXnA9fA2ibZkV1c/bYo7cXJ5XGwoScMwz3iBoUxNwlmTiFvKERgfiqaHiqaLgU2z1unQmUVbTBMGk8Bc9ClJImamhP6H8y2BhBiSd5RQNiRW1mZGM5HmDrmS2EaQYzjouY1xPaJJqrD0jAHvqc9ySXos9rfDHnyVk35Nb+7EMVVwz7m9zsczPgtvGJlYiYWI10lq1IhEFIaRXzbkNbMqSX7bb+U8pDzCuL/S3IbpBDuMfHuaLF09IoFzKyCnpJwKvFu7NMXPzB9lwvn5flanLKMGx/0nLQ2EYfDWMJ1hZRsecEnQHEysgyQTSQtBC6s7y6ERskA3SMwKjkVdZO8zRwqWEkIQf9JRKhHH1w6V3Pw2b+t7UvrYhIMGxRi3V9szSCA05XY1YedkcrHs/CorDD2YjBTsVOvWB/tY2dd5ESL2Lyy/PairaMLpYz3Ir9nAjOheVvFeGQli7u9Dl0SuPCOR5hw5YA7Egksw4GtWN+cs6TJw/52V/+jL3ziqZxqPSptkVjAYygLLuw0Vgz7Fh2jsEQdsc9Awd17ahd6FMfT4EL+f1s35z0YT52PavVjGZS8+rNSwxEaaYjZvMVT/aecvvpE37+7/0Fru/YnAxZrVru3XnIrz/+PV3VM96YMq2mHHVL2vmCo5Njdi9usDEc8uTxHrOuZ2v7Ag/u3Ob45BnnJxUO5ZV3XqCuBgG4JUQrw77HgO8Qn6OuSmAjUtUM3ICzg2ds3tyALs631Tm0p3TeM2iGdDLBDTaiCvfI4pTjx3eYHT9ltDXk9e++y3T3FeYnx7Sd8uVnd/nkzl0W3ZLFfMb9L25x+/MHvPLSdV6/NMH7Jb1Mgu63S2pWnJ/MOHq6z2w14+XXX+TG9euwqjg9OWTpV3zV9bXgXjnjK2FCaUw4rg9e+MwL0OcqbE9QjrCfvBmEAlS9sOpizkh8CuFVkb7XjnhwR4gWhDBjNEqiIderQkOPk55R5ejU0faOZU9YP99BUwmNC2bNxQK/TsMJSivvWMUTgBzmHZGodB1BOVTUh2IiM04mk4py21aJ/cz5s9Lo2wRGTXJx8mmCQ4M8si8SDHMFKdSJGfMEpPlbVTL4kpccYd5afn5JNsxgmCF36b0SQSmDdN7wR1IRHZg3H1MGEt9rpIrCqEeFSelUKftgSxQ1tRcIhsOeHeUdnp3Byj7LAs+A46J0g5HOYJNqJuzfksl8ijjh0jImIwiBoFiNNamoyJ7nCszQ+LnG70UHPO5eF9+fUgIa5WESyUShJAisfZp1ByxfHZ8XSaLt6BbanomPL36fnhGB0dqbiIdm0mdNcEmmWYYu9iMXt+XmVprz2SaXpENagHCiCJKIQkorSJZOOWuSSLDZI1h3olixkx6xPj03TkA8iMqIVBCAEbIy2lQ+WIGlH7KSEVemS76Y9Sy05nQ1QuoR24MVg5VnaT5ZKXSej06sp/eMbJBkI2nYhei5i6cm5MabyjOoJBawBenZVr4uYpquZhzs3ee1115hvljSuktMqiqNe7IvsV21g8mAmD7VAOgVESjtdMaQSnUWNrX5jA/RS3Vo7xmPh0w3K7amE6qq4vjshE8+/ZK//du/590fv8ewbhhWjpPjQx7uHfC7jz7ng99/wu6Ny2xdv8jNjas8fHZAN1/RdktUh5weHvPpJ1/QbG7St577D+4z12M2uhGuabj28qtUUufaHBfJug/1Ra5y4chyC63E4X35jVf49a/+lss3X6SpG5wH7efgl7Rdx6iaUNdTKjfAKs71/IjV2TGDkfLSG2+xuX2dxemcw4M97t95wN/99kPu7z+j8x39Unn4+IA333mJG1cv07U99F3cHlyhW/HsaJ/j08cMtwd898YbTIdTfNvj/ZLKCWcn53zV9SfBXYnAKnFZjUo4qtFJYqIQlxaI0vUWWtSYb5N4ElTWX6eKOqWqhKoSBr3Qe496SYa0jtWVxEIs76NHbYbWGYsN3n3bhw31e+/pvbDoYbkKxmY0IHpF4TtehEWvnC0V1NHHsLL34b2NU6SSeHxrAP/Ww6oLpj9435IAyqA4/Dt7ADb/S4+rjp/1FAe+SAYokLg9aQTXOE1MlgZSCiGfptkw5cxq/CmCkO3sZpXyxgSckRfyiW52/KoZhZCzJL0nQ2NsRcrNRu/A2qxr2XjCspwYks5IE8ayBNkCYK2vWcZFGFrJYf7iLQhrwGKpllA8Ryx0JJGUCo3h/wxEeVwl5x7zvI/fK0uyLKKgxVMSR0wbHKV5IethXvmjb2nRp0xiAvjmPlv0LIEw62CN1Ugk/cvfJ8okFJIFzbElngayyU8t5FHFolT7LC/RCiP2fCW3ETuBuB87MZoRU3wGZvFLPs4El/IAsepeAsGrinuNwYS0QYyIqXnUdmMG4HIFQCXr42Mg6nCRbPsso6IPad+AApDVOZZdw3k/ZVQfM3QdKx0y7xqO5sKlzZbmvGWpVlFQEqSCiGhBsGLbyuhRqSHEGhKLiNZOY44dpFKqKqQ4S5JjOnp68IytrU1G001++fe/5/KbN1M1fUnoxBplxEAIRXO1IBKPT9KgBX1RiGtttP0JrL+r1QxqZbLRMKyUw8NnPLp7n2e37iOrniuXLyMezs7PeHjnEV/ceshHn3yJOsf8bM6DO3fhcs/VF1/l/PSMQVOzORkjiyXOK9/54Y948vAh89WczvW0OBrXsL19NdRJpYik2Q/BOYerHLW4FBW07dbr8ZAXrr/A+ekxu9sXEfW0y1MW8xmLfsl25ZDxFs4Ngqw6z/nxCSotV1+8ynRnl7ZtOT065tHd+/zhw8+4dech571nsVjwdM/z03/0fV67/gLD0ZR9BmFZnYDrO2R5QtcuWJwuufH2S0ynUwZScXx4yqqfs5qveLJ/xFddfxLcvRk4hVDqHwRkG6YEAxg3oIjM0yEp7+dEktdpxNeqlcMWlB7vJG5yY8cWhs0PXDHrnSN6/Pa9wMBqy9E6pfbhcAevwkCBIWEpVHxOIpUOJuoYVZ6T2jFbVgk0XIiZs1JJJzA5CVX5qoL6HGJMUY3i55SjFcvjZjnZTlx2IhFRLtlgEGWbATPJOE346HuKpLWoVtVunrJNrgQNqkEQ5FCyHSAj5KNX1/Z6lwwWvmjJ8wBhRqA8V16jkUhFf0lCQUrWtmBMNAFepRFkra8RVcsiMQOMHJNNVCcRUTPqGuVFekrOqaY9+7GIgyQsQK3tJgeS95f6+hwer++Vn6MEa8CAnSJH8gJDkaMt8QRSb7KptF7m/+XtZ619aaqk9lhnwrdD1b9SiDflqiGDMpheZ1ph1CKE2l3y2BEtPi/nRAb//rnUEVpUKxOXe5IjRan+Q8yn9WlntNTuUvamEwnPFY3rR22THNM3L5LTABrmZuivFH02W+XWX0EuYLX+SxY0K+/YnwmvT2AkC850zLJz7C0GXKlPqK06R/IcTevyw4TGUnRW9JeoWmxAZeF45+k94YS8SqmCKwpI8OIFnPhsQzVHmEDZ2pyyWV3mg/d/xfnhHq9Woa6JeI+mFlpIX6mcyyf4aZeUJ81lkXSv6cRa8aR6zo6egi64tnOB2fkJDs8LN67T1EPORbi0c4nz01PmZ6dcunKJYT3ir/76tyz7FlnM6ecLZrMFl69d4+TslPFkyGTUMJud0TY129sX+eLvP6YZN4zqiqoR2k65dv1Fm/2IOjO6QdecK2xi6LNF3rzC9s4FHh8+5cLORWrvWS5O8Z2nVY8bDBhsXsJVFeE40xX4jp1Ll5hMdjk/POX4+IR7n9/l9r07HM/n/Pm3XuWf/+ZjlqsZr7/xCm++/grdrGLZO/rpBk7GITTZ95wfHdMx5+3vvM5QaqTzLNolq8WMw9NjTk5n3Lv1hK+6vj7n7qKJiYy3EVIxW+9zxa6HELJXRcShcS/5ZCDM49RoROJZyhorO80zUq80lcQNEjRTSGIFbxwU9QGwHILGijSRuNwihv3jPMnbpUbwajUspxsQFNqJMoJUjLL0yrx3kWSQGC2E/L2LlXldBCkriqriRLBlbZWWJ52ZsksiOWmr1ziF8256pKJFy92T2hfCNWay7dxziR7MWlEVLr03zrHofdvklbTcwkLV1gYK8EgmPsow5Ws1kAoVTaFMu6o1cx5CsWF3vgCn5iWnXQLFQJP0PRvTMv1QVmjn1tle3RZKLkO5xdgRCWfUp7BjoaRCNcQguQTXdZANUQ+NxjLc5exXSU4RhoxorRWAaqY28VmV9T3NlzSM6bJnK//AZWOWyEf8nZhg89kPQQ5Bt7J8wh8rOA3fNT3KfV+XZtBFp/GQE8nP1kIyFl4HIR+rnGAjzlFN3nHpxVukidg2JO8qaUNWYqPdlw79kUC44hDEiIFi1f3hkQW7ea7IzuZVGfK34TchGzEX9fTAcTvBTZ4wbVbsLYm71w14cUeZypwTnWJbWwvgwhae67qdSFD4tybZhteOK8+k6ug9LLyLZ72Hvchr5xnXITRvufYQOjdNDVo03Zzw8A/3WM2O+fMff59+Og271mm0UuoRcWtL8Mxzl1JGGiK2YVZ7PEotjspiWkbKVNCu4+zoCVubQ0ZNTU3FSjoeHz/j07v32L1+mUk1ZHZ+zoWdC3gPt2/v8fTomOWyZWdni9pVHJ+ccfHiFe7u32K4tYH2nrt3H1JvTKhdw/HBPuPJiPn5IYtFy+TyTTa3dsKhL6opSmXgbpFMTz7/obT5o8mUsy+P6V9uaboF7fyck9mcejRE3JDRaGutrqXaaNi5dJFuseJs/5gHd+7y8NEjun7JP/35tzm6M0d+6ZlujfjO26+zsblDvbXFk71DtBqDVqiEk/PqUcXljYtsjcZU4pjN58zn5+wfHnL3zmMePHrCwbMjvur6kwV1gG3tTR01JeQnNS78l7BXbzQKdkiGxkNnbGJoRPBwXGwI0WqshA9eQN7qsfMhDB4OromqFLc8rBB8MSoB07I3Lapp45IKgtIC4UxuAR+e0bgQYmoqpR304axmD2edY7kAiWtEzdgsexeXwmXSUPL7vNQnG2gzUikXrHlyZDiyEHwBkJKfbcuZUjgSK6zJy8xcBFmTdzjnPRbeFF6NgailOjT9Liz/CBu4aF5VIEZyS3gwENXU1D4aO6tbUAO2ZPzCtwK58CmX753lyaPhT+pS7n6VhJYLpSQDUi7mknjU63pO1mxx9sKDT22GVONgJRKCpGI7+26OYNgz8h8rVPfpibk9Jr8o8vCkSDCCDIowugRwtG2On1OG/L74UxVljWpalmiyy+H0nKgxiLZaBsuNhw2L8qXp2zFdZMRHMwi5opdurV1r8J+AVrKkMZRMsaBI/MWelYiWRZeKeoQIqGo4hM2zHDUpc+mSX1cUNuZUgMk/EdlElMlFqOkZ4U5zFMJPml4iCA9PGqqrE3bqOW6l9Dj2Z0Oqy46LoxlPZ3aW4LqNeP4y4i9x/voIrE3V45wHp9QCIxeAflR7xo0yqn0ImztiNChHXiSwCVDl6OFdnu3d589+8iP2TpVmuBNPQEssNczXSNXEwbJbsFjOONjf4+T4gF49W9tTFqfHdKuW4/09ut7z+vf/jDdfejMRJyOI7dk5p6dPee3V1xiPJvhVy4N7D/j1Rx9CM+D7772NqxwXL11CvLK/d8BHv/+Se0+fog0MxyN8p2xf2KJftKy6JTDl4YPHLDWE6hcnZzy6dw/U0/c9x0dHvPuzf0IldTi2HInbe0Vd0nIMohMhklLAijIYD9kYTjnZ32MwrKidZ3Y2Q8fAeJPBYJKImKtge3uDfr5Pu1jy5MEDHj99wmTc8NMfv8XmcIO9rsVXjh//5G1euf4yzfQCx09PeTZf0ty4hkpD55WR9GxvD9jdHCM+bDN7eHzAg3tPODk95ujohJdeusqPf/jeP6BB4fqTS+GkiuuNI+MnGsjKuWTgIXqwEsLrTuMabp89xazEjqryuHi0a/BoiOut4/e9IB5WXQg/WbhZzeoWkwqi1+xsS1QJERKrXBeXwFKBYQQfFaWpHJWDOob6ew+0YcmdHZsJASxXq0xU0JyPT0Y/BXXKCVpAohjYke6zAj5X9Kuc7GZCXWwvuh7Sd2kiFhM4Anwlkj7L56dnuMuZAImtD59WCCpF2WBKOBM/D5LMOWMzlLHHa0MUQdzeEn9nqZ0UajUWnd+6FhaPrI0Urk1qZ3UFRc6+ALXy0iR3SfJKUZTyhyhHTXKO3qiaBCQ9x8QT0pLWmwiNIiklk1pTIE8+Ob0YBvLuf0oMD+Yplv65lsUR4qoKWwZm45IJwdorkh5kmaVCQZO75Llp5Hn9GeGzPsq+QgvQW392krrkOZHqDooakjrpeSaYOYET5S3ruuuee4+lTASKKFQm0bntsibDMHeMnNl45nH16YPiWYlQZZKyaBtOV8L2qMWde0QqZu2IpTZsDRbU8z7s7Fe0N8yPKBMK+2GROzGvOdYgEexR43pGokwaz6hWmiYUIVcuRIOyl10SCYFemR0949333uHgdMaDA+XVFwcs/ZK2XdGuFnRdh2jLhY0G3y25f+8ez/YO+Df/7b/i0aMHLObnXHrhBV587TWWxycMh0OGowHL2ZyT5ZI3X3kzsshov3Ac7j1kOHLsbE+p65rHjx+zd+c+3XnL5vVLTIZDBnWobj89PebLOw/461/9PUu/4vLWLpUPTt+Lr73O/tMDptMRlV8xrEL/r165xINPbnPn7pd044757JwnTw548dXX6bsc9bE5J/nHNN/NVkLAA/v3K2++wWd/+B0XXtxitZzh6dkcDdjYuoJSg4Q6jQpP5ResFi2P797n8d4TLl7b5s23XmdaTeh6x/HsIRcubvPOt99ge/MyR48OeHxwyGzjGjuji6z6it57hrpkuukQ7zk5Oebx3mOOZyecz+fsXt3h3XfeYDyZ0LclNV+//mRYPlRY2uSMyh0LXDRa3pTLJoCKT2FxSUvPEgrGMFyeXVZ37GKOX5FeodewIUO6Q2OhQ/yuD4zSxZko0cjgrCDCtvzPSqbE0Lk6fDyHGAnA6RXUOUYN7OKZVcqsc2ndfDCiMKxA1dP1wWfJHlviECXkZeCNP/VFUYdih60IxOI4Ijia9xv+HVmlgVtCoTXbn/hO8j4MygrDmncPy5XjAYwyaLuChWRzFq4+pi9C0VIu+UuRh2j0bMMcewZEzzi1T0nUWUl5dU82xSY7y1Gbt2tGL99beOCFXgmSPbbiPtPlrhybAniNoEjUOVcKNT8qvT1sIewS8c3Z2hy1SIUfgIWAw8Y+mVdk7zLeU8wrKYjCOjDbWEsC5KhOz0vfRrroRQBDqwUJKyYsfJ6L5QJ5kJQSIhLkQPR8rAPRTHIl98UVOmF7QtgSt3Ktflh+Gsfboj3x5/LERRNPmlHJMEsij2Yr7HwDu080WQHyklRS+F3jWGmKlIVGhOH1a8dFZ7Js+qB4qTlajrk4OWR0sKSlodWGk9WAncmM+sSziNphO8vhDVByPp84Bg6oq3j8Z3qX9TZEHZ3zOBf23RCR9fC5ZPoT9CscOHT5+iWWsz3e//sPGAw3+fD8n3M+W4AThJ7VaknXe5rxgHa24HD/iOP9I+598TmeDvGevluxOj3BdR2urtFVS7tcMF/O6fAMw1Kn2GTPyeFTLl7cokJ48vghi8UZb3/3TfzvJ5w2FU48g6ri9PiELz6/w8M7D+kWK167/gJu0ARNcsL2hU0WswMu7Y4YTz3atUyW8Nknf8f82YzezxlWDZs722xPN7h24xW0jxiTbGIwsEp0gtSkqrH+KIO8qiJNw/ZkDItjTs9OOWuXbOiIZnoR1JG26l6c4c/2eXTnNvfu3+bKjV3e+dZbTDZ3OT045unhKR/evcv4wpRmOma5WHK6v8+ntx8z+rO3GPcNvgdRZXPcM0BZzpYc7h3w5P5T5tJx9eIFLl29xO7ORXwHJ7Mzvur6kwV1tcQ8u5A8a/G585ANmoVSTVENqJJPW0kxwWIuJt1INI6StioUhL43IqHpfHlVidXsGpdiRKgscs4C2ClsZvxsajozXEDnw+Y3XR9PVEJYqjBXx6wTlm30YqKx7fooBwnFfcJzHkRh/+2X2SgFiLWsgsTfoGTDIcaDsjedtgLVDHxmTLM5y68PwJf/bRXj6W7JximlPSLxCUpvksqFYYnEiZnsAOe9xCWDNkFiKLCSoKQhdJknVMpXRzCxgzvU6hUiypnnlo7EJcN9OsJS7HnZ5GZ9y8vb8ndNAsUpYqIpxWEEwnZKE0hRhkDcJOfDUy1I/NRJMtLpV0knwpeM5Lrc3PjOghym9mZVUooP7J8F8NveBUA+1wGF6IEbkKY9+OMzSjAsc9XmRababjVNsL7k+gwjsaZrRDnai3qJY6iJs5DOZTcSEnXUtlO2+RmIR3m+QjCilp6xZ6bQvRRyZH1/f9NnD3GVSY5upAkUf7AoSLkxktO1BxVXLKON4HqwGPHShYotN+Ncp/QIx6shF8enjKqOmbdC4VyzZLl+58KhUxLnYhX/nfY2FwUNG//UTpGUq3NxJLLdFMp4VnhH263Y37/D5WHP7dtf8OK1LS7svMDffPiQg9mCxXJJO1/Rdi1V5UIU1VWIc7S+j/10eXciH05nm7dLRk7xnWc+W9D2HYPKoEU5Pd6n68554eqLnB0dBIJx5Rqz8xXtqmM6HTAdTZifzXjy+BE3bl5jZ7jJqB7Rdx0PHu9x6+lj6sZx+OQOL9+4RN0u+PBvPuP3jx7TDAY8ffiMa9dvML64zYWrF9hoxpwuV9TjYTiprRg/iXPB7GzhDySQT/im4NVz6eplqpPbrBZtOIVuNKVqpnnDNq+0x0+ZHTzi/PiQ3ctbvPfdHzKZ7tAtHcvFMY/uPWN/cUa1O0FXSx7fvsUXX37JR58+4J3XvsPJJcX1wguTGRemLatFy/7JEcezEyYbFS9evc6N6y+yXKzwnXB2fMTp0b/lUri6snA52ahh+dE+zSZj4PbfVMmLTehoniyOnYyT4lw8WzdqunMgLkysyim+kgjqQudAJew3p6qIs+p9C40Ri/byStnS/ChujZT0Gnamm/eC7x3eh9/Ne2W2Euato+2rtYEO/YirBSSDkUPWWF821JJIDsQlVGprzH0yeOF72WMJO2wFo+HiMzWuRzPvyZanOQkblAQvMx1SmHL9PjbDafaCkk+TBzYV/IUwZBz3aHTNuGaoMdlKNOA+EoH0gvhMk70RmmiUI8Gww3HKtf5mqFGjMQUmSR6IssI5vc/ajFXE58/FgELNgGa/xvpuRFXVtlQp8suWK0+Ncem56+hi8s813mUBmx04lI2MpuhASUHMcy1TPIabudgyk5/AVXKqIjxfU5g51SuorUDQrJsFtpOALWpJ0nOTQXiWo/iiDYuNcRrvcPk0oEYEDeB17fyC+Ghs2aKdFb4WYi6ZDdbnr0gImAxtrpBJRhldWK8Sl0RozN6tB3M1jbdFAy1KdLIagKuYNi2swnf25wPe2hY23Zxj3cC5sNeG16yTIsqoCges9BoLaJNnDy3BHrho6LRSeg0nUrbEDX80R2wsfWbDcrD3mDuf/IrtaUc3mDMeKa+9/g6/+s2X3Ln/kNaHFGiFC8VnPlTb55RatKnep/Ss17gTZutZ6QrfeWbzGbN2wbgag+959vAuTz77NdevTNkYDln6FbsXLnF8eMLtB/e5duMyO1d2aVfK4eEhF69fYTzY5Oj4Pi++doNGYasecjY7pxuMODw5YMUZJ/sn3PvsLk+fPOFbr9zg5e0dHt3b4/xkzsDVzKozxpcuMajHaCz8Cyft5YGPAWAsc5sjZfFz1fSnEWU1O+PsdIYbVDQb21TNOESItUcXM9qjJxzsP8ZN4fV33mXn+mvMj+acL455eHDIB1/eZdF7xqsVBw8ecn7S8uDZPv/pf/wX+O0x9849qHBzvOL4+IT9vQccHjylGTjeeO0tBuMh2oei7vPzM2bnC57unfBV13+PsHwR1lPzCsL0z0e0xglcKH/yaMw4qhYgRvImzUMLIdaMglKEmToJAF+p0qjgmuBx55BrNMOa1yhmQLb2u+Sp9MCig5UX5i0s4v71oMw7R+tdrJivkhdj5CMAb84H9kI8XjR72iaGHkl58VREEzoXw6CalqElyUk05mKaJn9ksDMMpjIfjNxAqHcgLEENoE/elS5831azF/dr+VsjLjl8rFiKwIi7LX8zL9slD7TcvMQ8NLWBh1REZYCZ5UBaBWGyWN9Vfh3KAzHQNZlYtCbXNvgEoGAHwcQkQrzPRxnHbkVjHw28WjuKULjpMeu1CyEiU8Y9AInH52oME8dUhN0TFygm8pQLMjV9noCaTJhNj6JmYwiYuE/8RyZVFKEEzc9z+QkWXC9THrl74ae0xBUbQ9uN0orfcvQkH8BS6P7aP2wT2iStotwsyFILAibkgkD7tzXNHIpypUbeX8DMSlTEghuUZ9NJ+hOLIbG180W0yPRB7PjmTMgUOF01zDrPhUlH03parTia16hr2GjmSO/pfJUJixCPSfWMYgh+1lntkmRdU7OjYU+PcwkLYR09aB/mTW3jbNqk9L7jiz/8hsOHX/DsyX3qV69ycVTx2jvf4XcffcrHn91m1fZ4lN4r0KGq1K6JR1mHdQ8nh/us2iVV5UAcTVUh6kF9iLA4R9d39GfnnJyesdNsce+Tjzi68wEvXRpy5eoF6rpm+/J15vMFH37wBx4dPOVbr73KaDLieG+Pze1NNiabPH7wjP39PbamDS+88CKjhefhwwfc2j/m84cPOT074snePpcu7bA1HSK7Uy5eu8HB/B7b1TZXblxl//4jRuMNxoMRFuWxAtQgt2h/cKH4O+lNjg4bhqkC/RKvnvNVC6OKerKNuEHcfE3Q+YLZ4R5dt+TN77zBdOc6bduzmJ3z8Ivb/PXf/IbfP9qn7ZTuYM6T28rIO370wzfZ3djgkJq+hZ3xgjELHnz5gM+//AMvvXmFN998k41mynI2p+1DyuT09JT9p4f8zd/8lv/R/5Z/8PpacO99j8Y9edPSNE02es3k2L7YhWOcisCCjKJgY2jZlBXCBF4vSCIbqvhVI1xVTJSpgO/t4TZBw0luXU7E0SO0Cr7P+cSuh1krLNqwf7L3MKzCXujz3rFqK7puvS/Bk1ovegFSyDH0N0OPaq5U1/SMhDg4idu+4lL407bhTZXMRUmRLdOw1wmSvN+CUqXd8iw07wiV78G2adqwowo/RgzInjWFQUtL0ySH/Ii512RYIYGBtSzrh8Y8emhlhYVUs+b0hDFKnlSSV+7I+g5xuQrAAMa8i4oceTBbnkPw5d05qpF0W9YhNBxBGtruE4nIo2+emhRyC3ulP68hmn6nmAdrb8k9XVMU4lyI88dknI0TsQ8ZmKBYUVEAYiHGdK/VbSRtFksLZf3W+E6TtkKqZLf+GBDazpFWYVw8NipChk6XdCD31ISQDwGKnnu0AUaAS7Jh46bEPHN8T0pBxRvdc323eoseqwbPn62NWRqj4qXx37YhksVTSqJxuqxYVJtsVicMWdEyYtEPOF01XB6v+Hzu6bBlaaE9deUZVp6m8sHGidBLFaKV6tLyWlvcqgreC60X2l4Iy6c8IlbNH0Z3tZjx2e9+wf6DTzg9OmZ2fkp/8yLXX3iZ21/e5cvPP+PyzpSj05PgPKERrIWuD5tYea94euazGRqjcyIwGo2jpMJ88t6josyODvmv/m//F7712uv0j+7y+gs71A6kcjTDIaeLFZ9//jkP791hurVB265AlM2tDaaTKfv7x/zqtx8wn5/w1ms36Zyj2RjzyuULPNvf53DpWax6/vHPf8gbL19j5B2//Lvf81efP8Z7oZaOw3sr9g8Pef1nP6ephlhoKtXPaNjzQDSnykxmQY9D4ZbVcahf0S9PWM7O6H1HVQ0Zb12LZ70HW9/P5tC1XL15ld3rL+Nkk9nBEY/v3OaLW1/w5ecP6KVi1i5g4tiYXuFH77zJpa0LnPXCwld06hixwC+OmIzh299+gxs3X6Chou9W9P2S1WrJ4fEpJ6cz3v/gC37x/vt81fX14K6g+dzWWMxmEy36FLoOcNGigjFNMyMxN+qFuISuCFWqefpW8GTGwryHGPoSFwsglC6G+M24eII3P/PQd7bYSegU5p2w6IS+C4rZq9L1YWDwITS/iNVVyzbcp2nyghVAWY88ZojyrF8HeVKRHmRikkLMcec/NG50kqIhlncX+hgWdhEgrR3hd/E9GIGKsFOE6s04oevheYnFQkaqoghAQ+7c2g9anOK2Ht5Gcp1BNvPZYzWcUsK53zauLrbPxt0OXLGdytbNZflEkieL+hA6LIDRF4BTGs3wmeleEVnJ0knfsHC7tb23FqSweTZkRhjS+eBKsUIjPTrLA1IkIf0mtbkQq+lzIescjg6s2onVPsQ5Eokianl1F4FV1l6adUJT+23krLiMMLVYe2Wh9wkkU5qm0Okk9zyHrShNiRG/FAXM91kuNJHXOAhlai+PU5ZhWW+SNh2x8ZVC5mLzqiwMzWmYVAmPRWyyZuTz6WWNDFZqMo0UXPKGUr3W7J0KL008g8MlyojW1xwsGnaH52zIjBVbcdttOwo15NsHLmzCpZEkBuIb2xaLmG0cbMZ1fZSBh7YPsmuo0HbGx7/8bzh49BnnszNW83N817MxHdEu59y9/QV/9oO3uf9gzuf3T8Kcj7l9H3Pp4apAfRHBxXKn5DM+hKYGGQx59OgJX7z/ay74Oe9evcLAOVoc040t2sWSLz76iNOzZ7z7rVfZOzwLEYrasbVzgeO9I778w6fc//QLXn31KqNeOTs8xlfK9MIGF6dDni0XVNIwa4Z88fSEtoKtF2+wenbOnYf32NyZUk+ncHLMCzdfR2ii7fLReYgzQE1jXFH0HSaywbxGzKv7FtUVBwdHuPEANxoz2bqC98GZdF5pF3MGuxOuvvQi3Qq8X3Dviy/59W/ep9Ul/5v//D/g4/dv83/9zQdMr23xznuvcePGDepuzMnBKcf1Fj0DxM/pVgu2Ll9gczJiOh7Sd5757ISz01P2j0549OgZX355jzu3HlMPvhrCv/48dx+zfdFI5NRzMdUkLGtLS8GigfAxlN7HQjghHM2X4F7Xn1lWx5qZzzM7ApjluT1UYkemhs+8BpA+XUrcdlaoqnCAzKoXVp3QdhKX7IWDFmz3OpHgvbcWY4/GsbJXx2aYMbOCIYOIujAb0QaQj2PF0DJMTLVStHXPSQyEhVQgVZiVtfuCnKNMYm48rQuXbDDNSK9vDJlzi0r0kIrnaRxEER8JQaATUg4QBc8t3pV7mf+b5ZSNfnxiqjtwEhkykjbAsDCqkYsMhGZQSXujV6k3FvoOzzIfXWLkwRLHklDKKvBD33op9uZfG03z6a0Q01BQcp9UQcy3yd+w0kMrIjPg0OJ3StYl60cJ8uXnVmBoO//lfeuNGIb2enxeoqZRrRNw5wLY2OxQ2xFJUCIDsX9BR7QA/9zaPilaPP8gtgW0sBekoldToRKo7d9GJMq186Xm2j1hG+nnfh//tg1ITPMsrfJ8cZ2KxZOyTpuuUrRxbWZL3vzH9nzJY2R3Ow7OR7x5RZm4OYf9DqqOo8WAF7cdA10iDprKs9H0jOue3gvDOhwA02rUV6uVAFTDhjJVomTQqUM7hUpQ8VTex2V2SrtcceeDv+LsyZcsz89YzGch1D6ouHTpArc+/4y33nqFpplw79F9VEN8qlcfgB1BfUhqVJWGPDvRXrqYOhFB1dP3IS3j1YVaKYGb167yyqVNtiYj+l5xgwHa9Tx99pCtzREvv/IDPvnoc04XK4beMxqOWc6WPLx/j/G45h/95U85PNhn2fb403OaXuibhu2tMdtnJ8y3NvnVv/wNZ+2cze0pV69cZnt6GbRne3OKP5tx9OSIqy+8hPcVPqX2lAzdpgs+F177mODS6DCGvceRbkGjHa4PJExH21BtxAJssx2OCxcvUA3HzM7PuP/553zw/m+Ybg74ztvvsLtzkU8+eMhyueSVFy9x/fIVBptXaI9azhanrIZDkJrVsmd4YcDO1pBGevq+Z3Z+xuHePk8PDrh/5ymPT54xqCu+/eYbUA34qutrwV01MrhUBaxWJJyYKykUCYiP4BNyRt6HP22vwfhVLhkIXZs1mp5p7N+Qw5bNBWMTJ5ZA7fKpbp5wqtu8D/nzs6WDXkJBioSB6r3SdS5uXRvPZvfRDMdjE2sJp9YZm5fCgJMlkFOXrBd1qWTPsyrhQcBFWfpUdFWEGaOhCGCtydiEz0pFDO3JxisCjwaZuYJEmAsahiOHrpPJSqAsqfDMJ9DTBI6hWblQToqQfGUgWoSUk53EaJy1wYF61j3o7K2Zh2oysb4bYREysYEcAk5QGOqNkvcFUGs4ITC+If2+THHYiX0qYftbwUhSkFFFjDZpLoLTor25l2HsqgQWmbyuRSMil5CYcJWoC+ueZfhigv7oratYHrn0lw3889jZu63mw+QZhimTh6QnxeDZp3kUrd0O29RES5BLsyKHpm1ke/G58K/U60gQ4tROURib4+vpsPzHl79M45pJQDoL3nTc7AVGePL2v6WulY/06TlS/LeMdtizJc65su1BqvvLKTIYcnm44MnM48VxvBziKuXSZs/RzDOuPZvDnmGlIW8uSgiSuqTntta9TZUZpHoGO7Z6RdhvpPZVIMzquf/Jbzm59yHL1Yz5chGiryjTjQ0OD57y0gtX2drc5q//5nc82T/BR4OnGsmDEk5Ki7bfd57z2SnmlEmcK/TBpkkdapO6dsXF3V1eunaJqxcuoB34tmcwHXF+ekQ9rLn60ks8e3LI+x9/xtaFLaY7OzgcTx48ZDgd8Oobr/Dhrz/lcNHjqhXDfkYzGoR5OhjgnGMiyo3di3x6+0uqzSnfe+9n/PZXf4v4ltX5DK9w49232dq+TNf3aYCNyKV0pP1gnY4RYPWC72OEjB7Xz2lnp5zNl9SVoOMpC1+Bd9Fme7Y2R0xcw8mTx+w9vMeDe/d46ZUd3vrW64yaKWdzoZ9scOHCBt///jtcuvIqi+MFR2dHPHI7nA0CERlNhM2tIeOBYzFbcnJ2wvn8lMPjY57uHbC5O+HKtbe5du0KT+6ccG/vGV91fb3nHsMuNpWDVx5BQ33yai03RyxC6FXxveLV02o4lz0YTp/Cnnl+FjM5MX2lwPdkPO0WA/TAYIm5qXB8bAirh5wUPuZbNQB9FwslLMzdE0LCTkG8hHWjeHzn8H1up1AeEkIRIo6kR+x0q+yZmd6kPL1k7ykpGsb1SZPGSEUvOXRo1d8JAv7IizaPR1LePgBq9hwl3adpJYtG2WajFb5XRXCqkuFNcJvHmowLDh+XK1nIKxo8Iyyx2ljs50TasiHWogVavLLcYCWtHIjfcTHkHoMtCZhsExTbU4DiHSYpxYA930EiZ5lp2vjkA23iIUOSK69dDGcamOR8thT/LcPaRYuK8Sor1F0xUQIxUcp5kMcz0QggbP0sUUVyRX0GRmtL8mUKvbMq/z8G0YJMRt1I8aT4nVzAmP+bl5KRwry2BM3kacBJlLNonifrcy6TLqfWokIQ5DSerRdxFHUZUkoP7DhrCl21Cv38u9yuUh5aytMGVfKoL/ua865mc7jCzXo6Kk6WA3w1YLs64+Jwh8lIqOs+1haER/QojfMspEppMOeg8vEsdSvqE7LzoGE/kB7Bi+Ps6T32Pvs76Gcsl8tYeR/Jifa4puLK1Rf4za/e5+z4mFFdcbZoSTuECqSVUDYH1ON9PDBYlXowBDy+jxF673F1xXS6waXNTV69ssXUKSvf0/qewbAB8Vy9/AKL85Zf/91v+PjzL/j5T3/Ixd0LnB+fsvJLXnzpZRZHCz78/SdMN6d0vqZbLhk1ymAEk+mA4WjIpJ/Bzibv/eBH/Kf/y/+CgR/yd7/4BVuXLnPx6mWePnjIG+9+j95XaF9UtmgYUyfmEBVWL2Kb9+QNzRAqbWkqz9npjOPZKdMLG+wfnDFctKifggobzBhxBMszju4/4sHDe2xdnPLWKy+zefE67WLA3T/c4jeffca33nuZ1197g9Wi5/jZAZ98fovH135CU00Y1T2XN8NRuu2qZTFfcP/WAw7P9zk5O+X1115je/MCu5cusjjuubN8xmD0bxuW15zfUzQty7AJlzyGmJe3ZQPhhLWwpWnXCW0PrVeGDpyL3yoFWxp4wdaIYHCWzEABRj1EQLcCk1BJ3zilqoNCzuLytpUqvq/o48StVBNggsSqcE/rjbxkLy/O22T41k6FSoalCFQagKkWwGyZzvC9EDqP/TVvWySFb+17dn+oGjZSE0yriFBrDsdjE1Ok8CbM27Rct+YtUQ1wCN6t0xjiTe81QIrAFb1oW2qW0wZ57CLVicCnqYBuzXyXhCS1I4NDDpPmeot1CacbSSVlSq4jSIIoZI0Rjzg2EXQsx90nPWPt+bZjWhx+lHgefEotWEjc6JW1VCgPxEmkJWtU/F9PWepXkVdPQDzESPOudTZiJnEp2hqMt6UvtKjPszXa+f1BxprCkRYdAUsh+KJ4MUu9jLgEqp6pkKaiOfuW6UTWMxvuUk9KhSimXLY5xagUCw/XwuNGtEjyCfqq2NbIJvHC5hTkOJxuJmn1hdG/8J5MIhLJU9PmrI/2fAV6rTiY1VzabKmOwkkKrdactxVXtpaczFp8LG13aDzjIjyxERiIpxNH56OGiMRjsUObQ+TSp029vArL3iH9ggef/DXt4oCuXdJ2K8T38ajqQIquX7nKB7/7iNXsiH/vz3/Iv/hXH3JwPsNJRYcgviOtD4t7N6j4sGTZBbvoqppeCYd1mRREmdQVL2wMuDhuUN/Te6WqoKocOxcvQzXgi8//wEe//YCmbmA4pKkGzE5PuP7iizhtuPX5J3x++zbf/87b9G2ga123ZCg9g+EQh6NrW9pa2Ll8le2X3uTLX/6axWrBcCEcPjngbNlx9Y33WKwcoi5FgqwGymodMJ2SGEXygSi1GvrtvTKVDtoT8B43aFh6R7N1g0f3njK5dAGnjoFf4VfPODq8y8HhEza2Rnzr3be4cv0dll3F8eEev/voc87bJdcvXUWAs6Mjvrx1m9/fvcOFV/8xiHBlMufyaA7Llv2TPU5P9zmfH9DgeeetV3nx1VeQtqL3PfPFjOOTM54+2+errj+RczdjGVmp5iCkKbUv0F4JgN5HFAonFyka10h13hbdxAkePbG8tCj8R7TwoMR+GQO4GgC4j+yq7SFEXoInt9koYaWJw6/CLnN0kk5zc5GhmRHwFvLss7drgJ38kKJa3IrNystA2IxsCROuIAWqMVpg/UdTLtsA3dwoiw7kEJIV2BXeWgzFp/cJmP9Qem3WyAxrJi8D1hxmdhGYbEmaFZbl0+0i4MWURfhU0vezN5wCxUmSuT1ZSilDL9l8o5rzrjYcKUqy1qsEFmjc1lY1GfR0qWa8h5hfzvIKtRAuydRakn09I2o2rlH314iG1QD4bPQlrtAoEDIH1HOo19qQwDLea8tOifKrJCy57GM7haBTtqY5pwrs7xzKzRLPoFuUHhAfWZCR2Kf473xYaUHWpBjX8iFFm20OO7WoUxzKUi7F5YvvlcQC8tRM4f/4QThTIHvjluqAvKIgjGF4QKkLiNUvxLsi4PaQzib3xRxd28dBy/GPoyhhF8fDbsrV5pQL9YJWR4wbZbZy7IyUZt6xoA4gLYo4jxXFigve8LCgRY0Ls7r1IYJTV8HWtZ1LQln1NbO9B5ztfUq3mjNbLXEo3ndpSLa2N1kcHTE/PeT7P/g+9+8d8uzojN4rvgr6lxcgBbtduQrtQwrAiHdVC1UVtkaFsM3uwNVsD4SL20Och+Wio217ZDBgurmJdsKt259ysPeQn33vPX73xT02JgNWyzO2drcYNRP2Hj/h8y+/ZNatwrkfDnptWXSwNalTPcVi1SGuYX58xOHZOY8e3We8MWT70hYTqZkp9PUOp8sKVUtzhPGvJDgdLlVOZgcgpDokniwa0oiTakktK44OnjEaN8zrKX77NQ7v7uO2Wio3plstmR08oD8/YrAx4NV33uby9TdoV8L+00fcu/eA+/vPGG5OGE/HHD3a4+jRIb/73R+48NoLXGmUeb3i+uScWlYsZzNO9g9YtGdcv7bL1evXqOsh2gnL2Zyz81P2npzx2d0vOV0e8VXXfy9wD0UDmmZyCptGTz151EUO3MViOlNamwttH0yH7QFdCdTOQDduAxsBK+9ZHWZsyK2HqtBlHyrgl63Q95HFo4hTmril1aRROu/xLlTGVxIK8VZecjFEnNDR7c0MQ0khtyoao+QtGahZNVJhUEvDbbk+yMbVwtolxFvVdcD28G5brqMOKh+MOkg6JCR4J+G7qfDPPDEzujYhU09zn4ykVamJwQNw8UQ/dcUyokR2zFsNa5rT5jjWDzWPNj9f4zuTZFRzDr8gNXlpkY25QVEGKLsUKwjT5ElZBbcpWwadvKTP1jsbMJkPGADDp/ErSZTEcpy1bWLJ2w6XoWOX0ga5zMraZGO/lh83HdEMuC4SSaM+xBSDPSMdMpQYk8TP7L4858J+CRjvjL3NMjIykUSbZBK+m/qdvxJ1CEIELD5HCtIb7YMt9rINrMxLN9kXr0xREdsjQIr3lMShmDHhewlUSUwwpwvi33GOWK2QxqLHcu17PqMh6rYRIeOa9j6N+iBF3U3KpYW/rVDx6WnFt7crdqpTTnSDplbO+wZxyliWtAyiYxNTSIQVMkpMD7qexknY/lpCdK2yQrs0xjHqiOI6z+0P/oqBdqz6lr7vURdAyvmeSqBpKg5P9vn+D7/H0dE5H31+j3kXFuZ1nc8rEFxxOJD2nM9mLBfzEKF1juFkzLgZ0LVh7fegGVCpZzSAycYGnYe+6/Fd2Jp4PJpw9Pgp56f7vPvtt/jtrz5mMh1T147R5iYb0y0O9g/5+A+f8cGnn7O1MYVecJUydjBfCf2kohFhPKwYNoJMByz6jge3PmH/2QMGTc1wMA3HpLoRK9nhcFbTqWAH8DQOKvFpea7aHIk61fuwuqqONtapp56soG9ZtJ7BdMx8cIXV6ApN3XF+fsLGdMRgvs/5/mOasee1t99m+/rr4DbZv/8Zjx98yS//7mNmldIMB7TnLXfv3uH08QEvvbzDj3/+Q+6dtTRywla1ZHZ2yt7Tx3hZcPXaRTa3dhAavHe0ywWnh6ccHJ/w+Sf3+MOXn/O9n73MV11fC+5t9HYpQSIRYTEMjCH4uHROY2jPx13YfGCD4d5Y1KL5HGsvIUcvAZfwXhJJqEXSYQlelU6FRe84b+F8WbFaRU9UQZyAhsrHcHBCNE6OtEUtaNwZSsxumgo/13PJBihzmvT7hHfF/LZT78LPyZLkO6ORq7T0oXKo1TxDCwP2EHNsfo13WIW4YOFICYUwsRAw738tsfAlAoJmr6QIkkajG4/nNK81Gj0DswCgFg9IEkqGzMytpUyMkPUqWRZkLMptMA89/N2XECRZbNmoJ8gjRSeS4deisC9RGeyMaUOARHUKYMjRkTyq5fGzNopZD2wHgrI9FJ8W2mH1EemyOyUBcpD5OqgFkDTyR07LxHyh3Wj9MY/f+pKK5zSH3cs3Q26WzfHg/WfikQidebCpr5puKfebT0AtBtqSflY14Dcysv4Wiy6YXue3Gxkr5lYSbx6HRKIi0Qvz28LsZq4iIUv1HlGn4osC4QwFarb0y97vrH26Pk4i2SbmURZO2xFnrbAzmvNo0aPqOFmO0O2KUbVgzjSOc1jp0/Ww7MO8nw48TjWuYw8bavUqWN23jbEdLCQ4FseP6GePaP0S9T3O9/GY6FjE7IRVu+Ktd77Pajbjo48/pVssqStH711c8iyh4t3FXLWGGa10Oc0ojsFwxHhzSj+vaPuOpqqZ+pYLoyFCxcpX4DzDcc2ll25wvH/I+fkBN159mePDGR99+gW7Vy5S1TWDesD5yTl3b91mtr/HblUx2d1m7CrmrXJhu6ad9SwWK6SCYVMjAl3fsjOecu+v/ytOjk5APO1yRt+vaLau0Vc7nC3rpBcSbUEVawtyLVGONNqSOIn4MZUVYz3DL2asxDNsGrpqm06njHdfYD5/gk4v4M8O6Fjx+jvvcvHKK6iv2bv/OY8ffMGvfvUBf7jzmHqywfnZinE9Z2s+Zmdryrffeh09X+CrmutbUHczjg6POZ/NePXVq+xsbNE0Y2ancxarBfP5gvP5iru39/kXf/13yET54Y+/w1ddf9Jzt0lkR/gJZnSyaKwAwUDcdojzaDigxQeD4pOvAOqDZ9oh2DGsIuG89ZV3OK+M6uCxdlHocy/szxzzpaPvXAwbhfYFQ1XR95aTCp66eXmBmZGiAqVXkyc/xelBcdjN8qXfkQ1DaQCEuKSkyK9LBm68VXJnv668zPN53tBVSgpFK0ptABINuXkgOUsa2mUN1YgUFuZ3ha+Z1tBShMGLv4OczPhG8M62MAF8VIpo4ENnhUxyzJjaUa9mDV2sOC7fS3SZJG7cn725gG4JSKzvBuoGRAUNSGQjzvC8fCz2z4hBHKwypZDGAvKmKwamhTFPOxUWBCaNaXp3nC8i0astjlmVEm6zMuQSyvAQ06f8nUySkk4KRVg93OyFvLeAxHdr8eworSIFjcUO7L9pGpR65UhjYU1LIx/J+lq0xUkK+8c3Jhl5k2sC/RJWw5cSeCNrRZ3rFezW+lgvUdKsJIc4tqYDSQJRzoWgbefMMCTl3SENkGk02dONz1n6ISfdiAujU6p5R9uPWPYN8xZ2Jp6zeYuXBrNdtSjjSunUUVeRuPpQ/V6p0vSOPsXNbGxtbiiLk6eIzqnU43G4qsKWuIGCq9ja2sB3HR99/CEXt2qubF/i3t7v6eOyNyuErVwD6unaFQoM6lCl7vs+FGDiaKoGdS2Ls3Mar2xNKyaDCud7EEerQjOqaCZDzk+OuHbzJiIDnt7/kscHB9x89RpXL19CVx2P7z9k1c74yV/+lMVJx0k3p1NlK+6G56SLuf6KyWTEuKk5Frj5ygvc+d0XoOGo22Fdc9Z16GgTdRthMzMIZ4AIMWIYf6d5HpXWONUciXJhsGTsVszPF8zblkbHrEbX6LWm2tii+/IW7uI56JIr1y4z2dpktVpyvPeAB59/we8++Jj9o2P+o5+8x69/d5c7J2foZcf1azf59luvUbkpJ3PFbYyptOP08ISz2RmvvvEyk0GDuIblqqPTFWezBXsHBxyenPHrj37PrccP+V//F/8xb770Cl91fS24G/ChRbg55dgDy3dOqMSFsGYE9lB4JTQIK7XqayMCpLBd74WlD4VxFUJdxYNc+jCxzBD3CN4Ly044XziWqyqV1LYS+bvkiSfOs+rD3vSdCp0PzNcXkzHOWOI4xmrcbGLtHi9kTwmzb7lmOxtYowwFUJE9QMnp5HiPZMMvcStLMYtpxELxUiyNyU3OXqsBE9nYCtn7sTB42jiGfH9NDp3byUbW+RBF0HR3MrqSbkmf5PeFpUF90UZrsCuMawpvqxEHA0yNBjy/oawxkBJIjBRo/l0Ic0b2bYCl5ffS2XVpLJPc7BdRJmFrUZcG35YJpiV09kRVbO2+/UnlCJqfaZ56+jnntrDNSQzBRMD2f096hIXas7fu4ydW9FclzTQv2xD/+XC3ywQjfjedh0AmesSfSxllApDBrdT5dChOoTWI6UlC91Sct2Zck17keoAs6ZJwSh6u1Nd8qEzo/xpdsmkS9cJoS57/GFhHXcx9tqifpMLWSoWaoj5ANBGULLWKvdmYqxtHTHTGuQwAYSUDxv2ModtmlaxqFJwIoqkENupLKLhTpxAjpCESFzxN5+LKhdkzuu4cEaWXPjousegOoQG2djZ4cOcWl3Y3uH71Bn/1yy9YeUGlDtqg4LseN3CMNsfoqdKvVsxmc7q+R9XjqBmMh3jxnLcrvCjTStiaDhg1DSw7WlG0qtBmRNet2L10gdFwg4f3HvCv/z+/5NHTfbY2N7iwe4HD/eD1vvnOt1icrHh6csKF7SnSe7T1nJ6tmCnUrafrWkbTMVVVU9VCPXAMBjXVfE41HtEMx4hXtm6+hVQjfNrTOoN22tshK3FJAbGKJafKWBbU9ByfzUHgvB2wqndDzZdzDEdbLJ/eppOW3cu7yNk5e3tPuHf3FrcePGS6M+R/8T/4p5w9W/KLv/2clba8+c7LvPXOt9i8eIOzowWn82MmV0Y0/TmjzQFbm9cYjoTJaEi/9Czn55wcz/jN3/2eh4dP2H+2z+O9Y1564ybvvvsGA/dvuc6daGSSClr1fHmLgFRC4xyVD2s1Lc/lVaml2BlIQXqbFIrGCphVB76HYR1mZh9mMMsWvAtRgWUnLLqKRVvhe1sdHSZmCMWF8LQTxblwrGvfh0nQxmNby9pffa6fCcYK4IFYRR4ByQyRAeS6+XCpjmA9bKrxOfYdy/HkeoLwXEmGp8h9RPCz35VL8sTcE2zXJdtm1oAugK4k42cG6/kdtkK6JDTcac6llyFIC2+a3IuyLHJdRVGcYvcWymLbEYfngWV91cZAI3hJ7r1RsjKtkPZzDq9O/SXeY21POfaivyVUWJJBUkvy+GZglxjZyF5yAkksYpSoD+bpKqYIZRIkg2HyRkvYktT4BOxGDcpK8TCuGWCT/Aq5o36tUMzeb+NmefvsQxvgWpSgmPfpvVbbUPamuKKe2pjYfUnOsv4N60sfPwvk8HnDm0QSdDiqfSIC5JnoxQCRTCqLMU1NLNpu/Mulu30aEiWn84Keh5B9WcNRyiGMS1j264CT1YjBwHFhOEdlg8oJs1XFxWlN4zu8BnqtSqhM721//rLeKZ6SGUGo9i4dnYsLc2MiHfvzZ/SrJZX0wZj6EIIO9eaeToVR7ZhMR7z8wuv89qMvuft4n96HVGbwzYIOLhZLqqZhurGJHh0zm51HfQhhe7o+5OjblknTcKFRtqZjVKp4yJcHr/RdTz0asbF9gdOjEz754ENOnjzhyqVdti9fRLRiNjvjyrUrbEy2+Ozv3+fh40dcv/gmtUDlPbpS6qaiwbPqAe3puw5tBvhVy+UXLtE+eMZ8OqGbzTncf8KNq6/mPUxMgci2J005yb8CI+VWOOnZHi5gNePg4Jhm0PBsVdNXG9i+88PdK/SP7nDhhQEDEU6f7PH00R63PrvNYGfMz//yB0yaCzy594iDk3PG2wNef+NVti5cp+8dq8WKuSoDr8xnczYvejabhm65Yt7PWK1ajo7PuHP7IQ8fP6AeV7z5yhvU/hkng3M2xuOQkviK609sYhNBKJrYVGGr5NOJopCcE6p4mpsnVMkv+1AFWjkXQ+Rhk5i2D9vHOhWci96ZwqrLp1W1HbS+otM67B7nw3IP3+d8SWEW0x+vgvdhP/xOXQpBpqsgLPazgXkx5tlD1uI9EUhTpbIZdYUSLOxziFXGuhbkjGtUC+OuGTDLA2Psvxngw3uEwqsT+4kYnrdOlNBQePoJfCxHvW6o1dmpX5J+qbFy3nrg7L+a5WRPSYavIFMt62BVApJtKJOjEjm8WQJPle6Nb4oPsyWFCsHwEAEmtSl6ahHIytlcFoxVsV29yap4dwo9F0pTJldSzjsWWGYilZlFAhcjN+SmaFS4MGxavLJQzthiy7unIi+0qGRfJw/JW84akkYxHKdL0inScBfPKORt37blYFrI2NpakoJETJEkKZNzinTFuVgTU3lk8LUnCgXXLeWV+lk80wiARhshJYG1/gQZWASk3NxJ00PjfBTF46g1Si6Og40XaFpvrnFM8yZGcNaNWPTClemK2TLkC5e+wckZQ+lYYREZSdtqE9veSxUJaowKCOFoZTy1QOOS1jNxHauTA7Tr0DqsUgqnn1Vxa9yeHs94MOCFFy7z6Re3+eL2PVaLZdAntUhSoLWVOrrFkm5jEo7pxnLvUDcNvm05PjwA3/Hi1UvsupZBFdrrnaOuBoj31JVjYzLh/OiYzz/9PS/cuMI/+suf8v6tO0w2NpmdnTDdnLK5ucvBk0M++eRzFn1L48LRt4oyaBxN5Wmco2kazp6c0vuW5Uw5ms24dHHChaMxJ/2KWjzDF15h59qbIY1cjKWR43VVKjXVFCHM49r1bDcLutMZh2fHbOxu4ZurqIwwG+PGIzY3x+yMj1ienPLo4ROeHR7wwsuX+O4P3mU83GU28/hBw2w248//yfd48epNmmaT1WzOw/1TFjuvU7HJzk7HtJ7hXEiwHhyfcXp6xr0vHnI8O+ZHP3mPG9eu0S5gdf4hT9jn5OiY2eGKn/IPX39yE5si4JtmkwGdkLKraZKniSnh4ZUEcMdJrG7OVbZoyJk3VQi7r6KHrUhcRudYdILv4z7LtiNQGhI7Czy0y0UT3cYlGrarWJypsX3reXID5TT5M4aGtxQfWlGOGdXE2CXn5oC0pK2HtD+72ecyp2dKUm6QkgXtU9hUtDTlRI8rmiVzNGKMeX2Hu6KNcey8VffHMKyRrjJcXXokQvZU7JmpGr4MPRQytH6qBrBPO35pyNVafywMKunL0QOLz8/vJAFSIuLxjSJZtr2NTcJ4TQ9PBXhJRyW+K/uh2estjDj5+ZkbmTHM46kaljCVQOY02Wtse9iwEY95xSSP1MiHAWYiU0lfsgIFgNUUWck6QSIJ5VGpiumWUchMhq1y+I/Gr/i3K2S15rU+F4oO92RKKZgvnAvf7PCmHAWwdhbr8eOYZpB/rkEW2ve5dsbHzgqaivZI789990VfcmGAzQBLccQ2xvbYHvMpSlMUtaZoAjG6I5JSRcuu4lynDNyMWjq8NPQM6LzQSBuinLGHRsiMhPcapKYS7J7pTI9DnCLOU0sgF5UTVt0KVztcHTar8XHZsXOOvvdUTc3WzhYP793nwf3b/Nl3XuVX7X2O7j+La4mzE9B7T7tacnqmSN+HfHtc+y7RnvbdiuGg5uqFDQbnx6S95qsK7xyVaAjte2Xv8UN2LmzywrWbfPj+lwwmE1xTI67n0uVrtPMFp/sHfPbpF4ymA9QLdROX/jbBys+7DlcL5+dLTleec9fR90ozHnPp4gXOFkuePn3IxuU3UB2neZrcLCVF9YzMJp3XrGNWTzaUBUNmdIslzWRE52r6yQuoVmnC1fRc3W2oV2fs7x9wcHrEZHfC22+/w87VV+iWyv6Dx/x3v/mQ5tomr7/7Ohd2LtMeL3l49zGfHc+59sbrTMYDxs0RjSiLxYqT8zOePH7Ksl2ycWHA2z/4PhuTbVDh4PSQdtUy78/59LM7nB+e8lXX14L7Ks5kK9BK1dJW3U7cbjMa0aDkYmiDc1WYJC6ul04gaeYUBhXQhLxlt4KuF1oflsz13rFS6NUlQ7lW+UM2Hhm04+R+Pmgmxt/Ls6Ds88LbMkBIhCECGcWv4+AWJtfenEAYDUtXgiGwvdnzMZQ5IJ5Nd1bGDOKo5Uafvzd4KOHAklgRG1vjija5KA/b6z71QySdDJdJSzEdJJOSDDoRlAoOUtYBCBkIjXTlcLKmXLuByprkJJIiCtJoXrDaGFjrMzxbe8wLJ31akpy8o5eNdjn6RXdCD6Uc12Cwc+W1FfWtf89OJjNdBNbTEPG3iUDY+1KUpwyA/8NX2p9ebSlX7FMhc1vxYGOYo1y5R2nMtAhXr8lDiufl95f6t6b/Ji/NNQlJdwRqjflwV0QwCLJJHnwqgIiUXSRuvhJHTEkhayXvU5C2TI4SFSQWu+V+rh3Qk0iPnVmvGd9ThEdSX4zbO0gnLtpYhnlkpiJLMKWV1PF01vD6uGew7OirOixtq0bUsor58HhwrMa56CXWBwV713tH3wkrG0FV1EdZuFw86AirjlItj4Y17uo7QKkbYVgLn9z+kve+/SbLec3h2RJUcc7IaTzLXYNjVHlP13bMF8ukQ652WPrFuYpxXYUd6qKdRhydhuLpnauXWJye0gwrbr70BvsPnvHprXtUF6Y83T/k0huv4qg4OT3h/qPHTIYVzdYEXFjyOx7AsAG8cDz3rOaLUFPQtUjjuLk9oF60XH/tJvd/9XtOjmZsvfMqLsJaGVsrjwdO0aXncszZbVR2BjPq7pzD4xMGkxHnfkQ/vhI0N5K5sZ+x4Y9Ynhywf3jEaGvEOz/6EVcvv8V8ueTofJ87dx7yxZ2HXLy+QzMcsJid8ezBU37z6/e51Xqufv+czQZGdc/sbMnB/lMePHyEDGsubm9x+couW7sXWZ52LJYLDg7OuL/3hCezh4zrGRd3L/JV19eC+6wrfYwwIUKVchBCJZ4mnTOZK1SzwIReJJ0Ch/qwLSyaJqngGDihasIBIucrh+tD2GnRhaUgtlkmCBI3dEDDdiE2eJCNXfDSXWJhSAGaJRpDMij2lPRx4UUEUIphTiXlwNMBGfExrjQ+0UDkzBnBIIoZY/tu9kbtGMqy0C9oUnxDIlmxlCcu66AAUQPqtHtazBOulxDZ2m2JbLYM4ea+k0QjiSRk6qEF6XtOdkTQ0gwqAmFLXXVp+19vhjW+zsC/JCcGrr4A/hKaLU2UCcg68K+NM+W9km7SKOz0XM3gYOFsSyzIc4+0UL61U4uxBZfqIhJJgOTNm9TLvuaxtPtMzzItWSNT9nMkvUImjoqEzWOEUKxZUIsA/llCZvTSeD5HXkoR2pWKyMzLNVBPD7UogiavqYr/sO1ggbjlK6izY6MjWZVsJXStb2EOujgXCkodnpdkGxpvewdYAZxLNxe6kvTcxmqdSiqWostJypyCiPKIwJpk4kLe3U2VkSw40xGdr9k/h51GaWc9K1dTLttQHN4LnSqtd7QaquQ7S9sQiY0G50dcOHCmqmukC9vEdr7PK5okbAP++o1rPH30iLfe/hbDZovf/O4TTmfL8FoXer3q+rAEbDpmOV9SOZivlnSRIHigHgzw8SCZ6XDAha0J52chdVrjQTqquqKvHZWrWcyOufHqK2hf8fuPP0U2hvyz/+E/o18tGVZjjo5P+fLzL6kqz+tvvMJ5t2RU1cHZU2hbH88DUBazGaeHxyy7jiUV2xeHbMoEHVbIeEg/GjHYuU4lDWkyWCRrDepz5Gnd4IeITY1nq14wkJ7Vsmd+fs7xYBett7K+RAsh3YLTo2Ok7nntrTfZufoybSfM9g+49/kXPDk6QCYDxtMRi+MzHt2+w+Nbj+j7Bf/+d77FtcERG5XQzpccHR4iUrGzfYGrL11me3MbVehmPbPTEw4PT7l97wG3H96j2ljx4muv8J233+Wrrq8F99NFZNRm1CRW5Ka8oFD3MW8uAZDrGHY1dtcToz5m0OO6d6+AuhS6FWBUK0JP1zl6BSc92gu9g857Vt5hu8upWclyYMwsSgZVm/LZ4JiRDWiSnKvCYJZXuWMWEdgzgdHiO2voEduWq/h9DIObEbSiPFuGZrm3AJoJWsOGGclwZ+/VS/AprIguvM2+lXU2ecuxTcmIoyGMHftvodMwHyyHXMgs/m1gaOCX+xLebOmBLHqJhjFjibUnm+UwWZykV5DXI8QmiI1Hjm14jXUb9jqTW/whA3xBbKIcbVe3vMe5xS1yG8sxzZv/5HuLVwWjjIXcNaV81u5eIzuFpknsf+yzpRfS2upSnAbwmDwimMUxSnokz3n3xXfCUEZw0nIMNM13imfamCcBPn9p6kYaq/IuRwy5m65JKQNTDMm1MPHLFpExC+RisZ5LMpBIWqz1JI8e8kFKRuScHYyCi22JZFryEr6yWM9qL6y2KJfxkvQrv1kycYh9EGDRD+nUMXArVt6x6B0jN2S7OqPvOs5lHIrHCN67J4B61zu8CqvehRPgCtYkErzk3lsPetQNIS4/jol0vHikjxuFVTXTzQ22d3b421/+jkcP91i1i9AbT1wbHyKLPhLCtu0SWTUSXVd12pZ5ZytuGqMSdrITQX3IGQ+mIzo6Ll+9ykAG7D19xh8+v8WbP/w23/vp9+mOzjh89phn9x8w2Rzyyotv8eTWf8ml0YhBVTGowjt7r/Q45ivP/umMvbM5qz7sZT8YDamWytH+Htu6ouphMr2C5XXS3F9LbZKiQGvEFNuuCkbViok7w7dLzpdLRuMBbXURZUCZspHVku70EK8d1166wcVLL9Ete1anz3j64AEff/gZ7995gsfjOsUtVtzfu8Xx8Qnf++kb7O5cYjDo6ZfHnK8WLF3PeDzk7ddfpKZiuVjgtaVdetq+5/x4zgcffM6CBf/Jv/8TfvaDH7G7+W/puR/PqxBaFgOHMHkGVbEFoqit4sDFvYdrCYAvUWlDbkkilHk67wjhJYmVnzZhlLoCoQ8sua9wlVIrDGrFeVi0LuaZbRb5JPAwlrkgi5izShhlk7EgBVpM0sKRiaw8G2vIQPm8obRnJeavMecpWuSXzdCu+9BlwNQ8sD6BXLaS5hHYWmnj8bl10XvRQAjCntShMVIAq/UrgLemsGaFLeOLbYzvS4ZYzHBqqouwnbLycjULdRolKqUeHxJDruVmHERgTwSCXNdR2DQsDZR6bgVOqfekfPT624vzuE3GMT8umiMQZbrI0jOZQ+ZRT3n2pNE5MoQUoEVuRIp4rK+Te370ilEl1mzEMcwtSwCoEZASeYvjb7wiH7STG2LQbZ5wuXmOLZm0963Ro2IYbUzSs+J/06ZKFNGH+HcmUaQKdGWdqIT3+QzwKkWxYH4+WIV9qRumg9njtryAqMmsXIAXLYRaEa+NaPDLy9UhtjthGoci0lcKJaUqHRjNOm+HLBmxUbUszqGVipoRL280VP2K465i2DjGrk+S7XrWQT2+2Udy2HpYKYhTqj5EyHrX0PbhDETvvQ1orD8R2r7l+vVrfPK796mrBX/xvTf5f/3r37Lynqp2NIMhXduzWK2YnZ/HcH7Ivwc1C8KuXI0HtrcmfPd779F++SltFwqnB3WoB+h7T1011NIwnmxwfnrOh++/z4MHd3npp9/l8OAAf3rG7PSYlpaXXnuV1fGK09MTtjYuBpLsQn1V34elfbPlim65QOkRJ4w2x2xt7zC794xm1PFP/vx1jtuKwfb1bDNttLXEC5IDEvYBsOEM2uyAkayYugX9ouVsds6FFy4zkKt0po0xRTeQFl3N2L6yxcWr12m7nsXjRzy5c5+/+bsP+OLxPk0zYdl1zOcLHj96wIWm5s23XmQ63EAHm/SqnB0e8vjpU26+foXLWzs4L3RdS7da0fqO5aLj4aNnfPjZLe7uP+Cf/Wc/5z/485+xPblAv+r4quvrc+49cXMZY4vBNrW9MqygqoS0dEDsmNMAtk4CYxxUUCe3LYadNOzI1PWARm8/Ul6PLd8Khw64SolbPbB6PqYunqz92djHubY2yJCBy7Z89GIMvswdlxlQivXIpAlsBjidX00J+hbqLpUqH5JhICj5qet/FwQivJ9IFqwoKTzYRa215yWvOnoy62AZ32iarlY0FCaup1gXHfssIsmY2o6Bade8Qg7GGgwMpIgO2IZBAqEw0WQIcXdCV0QOMhCnEZC8lAlIoXmzzQamkNXAEQy2OhKBsK5bAyzfmpb8Fc+0ay2VK2XbisGKL60oV9DHBylFoWUBYs95fKZLZSVI2ngIn0hZknViguaxx0JVjURA8tNd0V6PJiBP4KwFKBZAmZYEQarVKNu8NghrsioNaGyDeePFx7nWJOuHfVI0P81ak3yWYTmnc7rMcuYVpp+adqqU4mmZ+hP/LtI0ZVsM7hNwF/2y5xWTNuyzEPcJkECWW204bYdckAM6r8y0xumAlpqxLOk75cTXdLVjUIUlZJ13rNKStziP1K2vuBBNKc7Ka8jle+gtbeljT52gvuf65Ys8uHML3y354Q++x8cfPabt4/5zXRvWsXc9vvd4fDhBToT5YlaE+AVXh35tbU1ZHB1y+Pgpg41tamIRoFRUFQwGNTtbm3Srnjuff8HGRs13Xn2Jzz74GF0t+f7bb+Hpefn119gYb/HRb3/L0WrOjapi0LhAbKtwSp7rPNJ39Hh6YNl5ho3j7PSc/aNjdq5OmFze4oc/+TPujSfMkro9H3Erfv+cGhvfVpRx3TLQOefHJ8x9x7BzuO3doEXxvhqQ9hwdKLuXL6KrnqP9h8xPzvj41x9wdHjIP/rJt3l454i/+fwOXXvO/NqA77z+LS5fvATVlKOFMpy0VAI3r19mOhwwHFR0qyVt37FYLZl1PSeHpzy89YR/+d/8gqtvX+KHP/o2uztX6Jc9Z2fnfNX19dXyfTg208Dd9n4POSCoe0LoTmAoGpa5qUuMsRKlrcJGC4jSSKiO95pZtoErhEKS1sOyc6y6MLEsZLW09fNOySf9CHnGg52ItT5aCdLjIK/7Cfn7z+VcxXCrnMRxwmesj0YohwmFUHhT+HIRpCIwx4lie+mXXbCnBKLhknwkGrOw21jsj+GcGEiEBie/Ob7Yzlw3wxnIhx3gE35fa9kniR6cUZbi0BDJwsnfzt8Ti/JkvrVGUkI0I6dVXByzfCjNui9nm+pYf3OEgFhIaKQiVn1L1i1rbpklsAG3z8sNiCR/nAAXNaAtLjX/MvQvhGtzq9PTJXurz9XtrF2JIBa8BTSFzUWKvH8BagUGIgQinaJAkrU5Ddk/1IJ4X65wBzvnQMpxTL/PJMdSQBJl8g9FyAL5KmE1j1eu8MikvNRJJ7n4bv2ZhZRsDkFaLpafH9uuGQwTpbZoDZLqWYzQWDvW0yZZJo5gwwQfjmG1p9qjo1aFItawlO5oNebqGFzfs9KKcx1xOIMLU487U1pfMVdH78M+717Dpls9MQ0ZJ9LaXPM2byQuSXX0vsd1ob0a71TfMxgNGI4azo72+cGPf8KTh/t8cvshC+3DniLe02mfiaSCUCEe+lUbyY2jGdTUdRWWpbmKx7fu0qinEUF7pa4V7z1VJWztXkC95979u7gxvHb9W/z+ozuM/AK3WHByeMhgUDGabLD/8AmfffoJdnDNQsPupOKV1jlq56l9S79YsGo7Vr1nMhlwsn/KrafP+PNX30KbITdeuspB1zN/Xse1nJslQZfyrzRZLjTnDHTFg0f7jLen9PUGfb2dluMqivctIsrm5jZ+ccr57IyjgyNufXGHfuj5z//HP2dDNvh/fnbA7PSU69cnvHj9CjdffoXpcIfT84552+Nb5erFCa5tGdcTupVntWo5PTvl5OSMj35/h6en+8yPZ+xe3OLGjStMhmNmZ8ecnc7Ye7bP9/iHr68F907Dkamp45pOdsfFXE5VBdPoXTjgJG9PGsLLvQ87LCGwQmhqpXI+stxQQdsDeFj2wrKvWHWwaAVwVCgrG6ACbPMElrUwafJKDFjTcDyX7YxWN3QrQ4sZWvOK8ntJwG5GtCxPSo6pkI5FNS0ydfKR1RtDzO+GtEOYhSyLn81ghUMr1vtesnkDqtwWNQKPbfrCH8kwG7EEHBYRiH2wMbevmzdtIX0jakoAKyvdkvTMUKBEAfYu9jmDmh1Pi6XM7IP4jvKXGYjN4uV1+CQSE34otjyOYP3HleZ5wxvyI9fGL4GpKBk4Nd8vJs2sdYlKFoQhE7p1sF3Tzfgdk0VJMv4Y2vPPGT6LcHy8pYrfL5ds2ril/lmYg1wpv04OzJu1fseZEBU07OlQameQhMnLiZJDOBJrd8o6B9P1MrS/XrSWqtbjC57fXMi2d7axNr01kaXTANdycJae0PWo1BoYaDp4qnLQqmInjgmZeObIXnhpj7C/bHDbNRO34KDbYtFXLGSDXZ4yrHpm3tGrp+1DJNSWjtpmKaZAIqQd6lI0RSM5rZv/L2f/1SxbcuV5Yj933zvkiTj6nKtF3tSZyERmAqgqVKGqukSXTfc0Z6bH2mw4DzQ+0MgvRD6TZvNA0mg08oVDmg3Z3dNVXRIoAIkEUl5979EqdGzh7nxwteNmAWjrAG6eE3F27O1i+ZL/tRbamBgiDTxDSolSGZPZlN//7nuMRzN+8cVDLq/G0bpPvLMR1LAOROrI2qCyjN3dHd578Dpt1WLYlhTnJ1jfjs8K0Bgya5AyJ++0ODp4QVHNePOtd7h4dsZsPufO3jpdBEJXDAebLCZTDg+PUJlgf7BGPxNIIZHCtc5SBiZLy7w0LMuSq0XJvDYUVc2nXz1FZIL++pB2u0dlDVlVOBBhpB5PxysKbuIlgVoD3Smh6doJulowWyzI+n1qNUDITmqlLUAi6bQVHaBYFkyvJjx+9JSr5ZQf/dkPuLZ9h7Pnl8hOiyyXfPL91/n4ux+ysXmTutSMro4osh5D0cVWBf31Hq2sx+XVmPOrKw4PT5gtFuiyYL3V4fqNHSaXNbv7myijODu75MXREYvliiqz8vrNRWxM2HDhwS5mheFjnbVtvRAPLqncm1zGX+iqOgmwgtJAS0lazsCnMqGrmctzL2pY1tIRuj8czTSykEMa6j5bnJBxwDLbcB0n4Wi9tJBhZ8LLM7OALG/udtx0b1WGOLP0ByzE18Lxl/GaMEb3lyDQm2y4CXKLgttzhXBPRUoDioIB6T0KKRVIR2XqFRYZP09MJ4H4BMKa9Fzh11M4kJ1qCtnw3YaLvZn3HuaZ8iqiJuTn5iqlJfeuJV0S9tJ5iDJ/uzgTvzjSptrtwSGTivg0BhoAayGGHhB/QbqGTSJZXGkWCauxEqde1SlWvhVcudHzEPa/cV8nLJKAalZpS3ufcs3D5yurK159v+oc//ZMGmP10lnTaK9sm7QQxiz8PH1Ixt8jLqG/PrihQ7TqVUUnPM/G/UjKlBt7shZE4/NwbbhXdMInXcGvkwcb2mZYxQnl2B1R2OgRaYYeCKlicUoJ8dAgypjXntbDP0MQizwZX1xfBObgFY1AL4E2BDCruyy0ZLs142VlsUJxOm9zfzujLxeMTB8hHBzTGGcUWSujghI8eCHlLdB7oH/Hj3Kw1tUUCfzFGqRQWKvZ3BhiasNPfvJjru9sU4x3uLiaY2RQ5Ewj6mNBeANDCFSWce+11/iL/8W/YnNtg5OjQ+60S744O2FuJAU5femKHwtlEXmONRatC+7fuw+V4OvPv+Hk4oTXrm+wrCpa6wNyJCfPX/Li+AWvv/cGLz5/RDtTaKFdOnRtyTFM5hVPL6Y8OZ9wOplTS8n0fEp/VrNzf5fu1jVEPqScLrGmgCwJ7KT0hT31lGrDWWwql5a2rFhvLbDjOSYT9HprnObbWJE7usOn3QrLkBHV+JTJdMzJ4RFa1PzBH3yXWzcfUC1zLmcX/PSbJ+SbbT76nY/Yu/4ai/GU0cUVl8sZOw9us7fep6s66Krk/Pyc589e8vz0hMl0Qrfb552PHrDV3+To8RVPn13QamWcnZ3z9PMXnIxO2Nro8+tev1G4N8FuNnAZT1HRbWvxwCxHdEoKb5G5v7eVW8zaF2mva8m8cgqAkq6+eZa78ojzSqK1oK5FFJQGx/Rr69JDmi7f0Mc5VKgSIRZtbRRmwk8yua7976F/d/guiUmEU55ck9YLv1cEflgOfBMWAc3CIlgbY9+i8c8JkFfc+5EQRVSeoqCCCAoKdparc20RTQ01EqqNSkzT0ndM1t3ZofC9vu6FYaqcF5hzk0nZ+KRUBc+Nu9k20YFNAhDvVSEU9mnl6/4eaV8FqQyn8NyyOcvE0JMAiGWkPTMUkmiVp+8AQvhMDf9Z2AMr4rOTvWdjysyqyEygrRUlIbiggzXVjAmEixqC6lX6W/UkNdesGbOPYjEtXtgrYYmNL7Dxm8KvS+BqVjTHHVQaG98FDEDzSYHRpzkEShNRYWisttvRGG5pnrGwHDZeF/bFU2zjzv6ePgSTvoEP+zWWtrHOsd+Abd4prG1at9gYJkxLJGXAS+vGmnngnfXNrvw/h2VIY9L+bIXBWqDUOeOqzVpW0BIaTc7Foo3I26yrBaemjquthVMcrCdOa4ktZk0DPxA8FiEckClFlrnKnNbXlA+h1HarzVq3yxe//Izd/U0e3H3A51/+A4baKVWBZyIgpPmBy3FfLFjb3OLBW+9w9PKYh9NH3NjtIjEUlcs7V0LTzQ1KKYyAdqeF1RW712/Sag04PzrjF19+iep0mNUSMa/IVM5yNufg5JD7b9yjUyq0NUy1oCUVona8aV6UnI5nPH55yuOjCypdY7F0Bxn/6o8+4eB8Qt4esJwsOD08ph5cI8sqDO1Ij4k8vYFhTQNflc6zFIZhvqArllTLClo5QnVdPXkhYijVWujaGX1zjp7NOD0+ojJzPvj+e1y/fZ9Ktzk/u+QXv/iC5+dn3P/4PoPhDuV4xtXLQx49fcJFf51r7TZKGKbzBTUlVbVkNJ7QyiUfffwOt27dxuoWs8kMkzmBNxtNefnigKvRBXfvbnP35i1+3es3W+7N5XmVORGsDS9ojE/pMoISH6vHWfSJJ1h8sy+0dO6nlrIExHpXWRbGaa1BONW2UW85xJ+8qE5uN+tdMTHq6A5AsKQazCcUFhHiVZgNQXITGGPQ1iGwnJSuBIlBi8aaIBqE5J+dUmjc94Il4w6i+zS4heMQSKQX6oAHppi2IsUB3X3EK3MNu7fikPLPsQ1mlhybYX6BaUX0tJDRG+LW1Mf8/EMkjVxS/5CmQCFcS5ivJaUxJSHmhhFr0YVPG7LMrioCNoxvVZCmngirkqdpm4ff4qAD6LPheQm0QPOS+O3gTyFVhPNnJVhB0XoO7ngREPYiziHIl2jhC7+WNlQ4bArzV8JLEMfb7AUQz6wN14Z9SiWe4xoJVrM60oaku/l4UpyPn5MAv69BKVw9UwGrEtzL1s/T8Y+oqkb6W31s8zynU+k8FzZhMvy8wv5mjbmlBRFxSVJVO3fTAE4NeIqwJ7EfhEhFkkKncyAq+UHZdv0PRFzAQCO1lVxWfd5Yu6Q9XlDQQtuci7lhZ63myWVNRe7FqnQjDHTtz6Qr92yiEmH9uEJBIyMcslxJkSbgabDT6zIdn7O5NeT+/df4+S+e8uz4NI7Vy3awJrbqRjiAXFVX3NjfR1c1k7Nz8lyx3e1RjcYYXZF1FWttgRIGYY3r5QGofpded42r0zP+5m/+ltF4TLfXpjKCtX4PDLw4PGLz+g63rt/i53/1E5a6omsMKnNub1sZZqVmNJ0ynYxZlksQgm63xZ/8/kcMe13+/vNnPBiPWZsWnH7zGTc/2cHyGpfseNpIHPNVryKEih+JZvuywFQFRWmo65rxTKP7G4mHel7X1xN0ccXV5Rgta77zyfvs3HiAMZL5ZMbV6YhfPXxKb2PAtWs75FmP6dkFT778hp99+TXdd99lrdNmPlnw+NFjpmZBv5Ozfm3IRw/uo2ghs5zlYslsNOPh54948uIx++0+fau5e3+f+2/cZ3Owxa97/ebGMfEVVOL0LgJx4noJX8fdXRs6c1W4jm9GGK+RukOSYzFSMK8ttvbar8C76Vyr2HBnl8/p2bIIWrxYGV04TuFjNxKXdpUEWlOH88AZK2IYMBbNsIJQqCbZN2Gyq05QQRpUYFQrpUIa1kvg4lFseDCZ+6aJlmaTwUTBZdO4g/APIiq47wMyWfiLHANNCxTeh2ysFVEgfEqX/zxYyu4ZPiFQpJh+bPnSEIwyzMcm+GJTWji3pUj794rCErp6JYpqEByBNqCZcxwYu1uihoD29xG+1z2RZpLkbQr2iDOI65viv4ktiKhQNFAW2MZKRmHZuGfQIoLXKWILXlmi9JltCMAmLfkB+w2Mo7JJ1XBrmmiFMJbG+MBnFBBczkGxSC7g4DFJa5KUszCeBNz69jpEy9ILvKgPCP9sEaKiQcQ3RbpdVZBCiM2xfBItWQeubZw64UNywdtjG7Ne3cOgEAaGIeKvq4oEhN2OUWnbpAxA+NbWYcwi8UH33IxR2cW2j9lqF4xLQ20Vc9NnIC/JMcyswlqV3PwEWknLHU5wLPltibFlSxJi7ovW05ylMjVrgwH3793gyy8f8Y8/+xV1pRENJcJEcJG7i7Gucl273+fu7TvsbGwymYzJFLSkYbKYAZa2b3izLAxZ2xsbAjbWhsxHY54+fcL1vSHl5T7jck4uFYPhgOOnz1nUcz649yHV1Zznz15CDplHXGsrmC4Ml7OS2WjKeDKmrA2tPGN7f4Od4RpPnp3z04fPeffinMVoxt7tTa53JhTilAmb1DZrwEhcup5ZWcuwzm7OuTQMsxmqWnJ1dkUtoahaiKzrMhE8nbZsTWd+zPL8AGTNu999n+3dmxiTs5yNuDy75G9//CmHsymDzSGdTpvp0QEnXz3j0ekhew9u8/3f+wHLqxGjixNEZlieLtjZHnL7xk26vaHrYT+bsZjNmU1mPD84ZLKc8FZ/h+98+D47g11avQ66bmjgr7zkr/3LyrRFRKVaUmGXQPBEehQpZcO6eLlGUFlBZSU1Lleztq44Q1kLCi0oa+nfS5aVSkwmkGvDTRkzqIOUE9JbQ0QGkrSsoGG7mLAkpKs0hJtMx0KRrnPFevwKCOurXDmmFdiJv7n7PMgN0bh/FDwiDi4MO6TrCBFca+lLzhLwCoYQjTmJxoqnV/QwCFbWoblMiGBFCS84khLh4BAiXRi+a+Pu+/VMle8ai+1dXe7v7nkWhCE1QfF4DOmVHeE694V+74EFxqY5kTmSDmcUUhKEJDSDsXFe4bkBXOf3PpToFKIxM+Kap6cnGmui8F99OeEtGnvsBapN+7IS2vGhjxT7bQiaMNfG/si412GQjT2Mex3ETEOAN+RUMwUuCRhW6CbQQvjXcII3Yvyi8T/pMRBJISBYmV4YB6PRenoKruwwzpCm6Lxm7jumMQopzMpIjGgqSmF+XgFv0KH0wK/4d/89IxrgM+FbTweFJU0yrkfAeFgEwtfswDZXyYl5iYg0JhDeY+Ju4O4rV66TQjAp24gspyfmgMBYxeksY7CW05MF1kq0cPwxWPBBcXAKfGrAnLigO2PhDGO9S90aLK6+vDYWoy3bu7s8/uYRz58/4cO37zDotP36GIw1YF1acaBPifME9NaGDIZDptMZZa0RQlBPR+xtbiLJWCw1s0WFNpJKGwoNw/09bG148vgbCjPn/hv3mS2W9HpriCynlSusqbl18yZUmhfPXvLF8+doCUo6vISxhrIomM1mXExGXC2WFFojcsWdezdBK37y+VPOJnOmozGjqwt66x36nYwNe0yHZeQHIdQWMScEPm3pKugIx+vbsqIn5khdc3kxQimJXtujokVtZUwFb1GSVReoVs3e/Wvs3LiPVF2qyZzTpy/5q7/8MZ8+fsRgo48ylnI+5/DJM776+htEV/HRDz6gl3WZXV1iTYXMJG+/+4AHD95g0NugmpdUZUFVlIwnBZ9/8Ywff/E5N1+/xj/74z/mzo37DHoDTFFRLAt+3es3Wu6BoMMhMt76CS60cKiD9RidqSYdjBCnSnqs0yZrf6Ks8CcwGd2k/BXCaYuMUXhOFlzA0VoQTXDQqh3hLA//zgY3YDjM3xaWsYCFt2CiNRas84jIDRZG8w6O0UgbYvQNZmktsZa4Z5AqPiFFG0NLx8jQ/fxDKkZw1bsStzYWvVlNRbOR6USLAwHS4Q3CM4OCtmI7eWurCUCLHbHC9cGqIgjvAMxxzCcKSG9BKe8ZqCHl4JsG9sCmNcbPkcY6JRsyDtFftwqKit75KGxFdK+u0FDjFePj4ckC554UIs4RGr97uk5CLu1LMx4fnpY2M4E6018ENFbfrl7+rStCzFjZhoLQwHk0vRFNoaotjdAOMYyVPvDtTcN9bWOdw5ia5ymM0Qua5oqK+BUTz1cKPxjwJYgt1uFhwv4TcA/hPmFNGhT6qlAmzMt9rvw1MY6aFgmL79q2QjHuJRs3C0pIDF0RUi39HjboNSxQM22PuCJJOS51i7lps9EukIWhRjGpOmhrGGRLpEmgylABLXT/CwJdRJ9PWAPXKssAQraJMELhFQ3rCoj1uh3K+YQXLx7yyUcfMj6rKM1Dx7f9QQz1AEKnLAtUyyX9nW3moysyAbXWlAa29zcZLGuKqkbXICtLrhS5UJhM0h9s8OLxM2pb8v6773LwzQFPT8/47s5bSCWp5zNkr01/sMH0/Ixn3zzGAp12m3ltqGvNtKw5mcy5mo55cXrGrKgQSjBc67O9PuDv/+5T/qcff0p3e4PLs0v6w4zN7T1Ua0A9LRG5JniApIVMuHoq2kInF2y3a1evpS0wleFkIemrio6dUSzmXC2XdG0X2d9DIqNMkFhkXTG9vKDVMWzs7KDLivn4nONHz/nJTz/jyemUT965jy4Unz1/AeWSyeiKOw/2uHf/OjJvUxuDzDOyLOfWnddYy/tOaTcaU1bMZxOmkzlf/PIZ/9+//js62x3+/C9+n7s37iC0YlnMKJYLlmXJr3v91ph7+Od4SFRt/Us0hGAiasdcA8N0kieQqfHCOZS9jDH0IEiFS50LhzO4UZp57cJGGA6JhRN/enEU5xFibIk3hHisbdwnqSzxTsFKsUlwRUSsv8R4hi3CWINwECHmH8bnx9Bw50YJ6Jmeb2dPbdNqRsEqUpW15vyMDDHDtAoJTb3q7ozCxSOWQ1GYwDjjU2VjP4UvjYlXblaGlsRTWOfoOQihDusEe6Zc+eDaNFY4SBvbVC6C+E35103FIiobcQih35j7b0zVFI1nhLt6RTKRb0PAeiEZ5hPyrFN3tRT2SFiGtO+xJHNjb8ISJZe/eEVxTfuSVjF8tOq1SkCwsMek9yL9ZVUFIioEwfoNr1APQDbuYwMEnqTMvSq0gxBLaxBCZq/OKb3CM6w/gBbrnTONqoiNNY1TskkhC5pJUKxfHdmKumQDaDCs0+rYGtQTMRs4ediordCYUVAe/A3DeMF6sF/Y9RSvDn3pA0+oyLiq2uy3R3RYMqHP3HSZFoZBR0MZ5u7nIVZ5mG+nSHP2Ac/gCoYphFAE57HEgfMQgus3djk7fMGHH7xHJ+/ydw8fM1uWCCRSBDQBpLavYeMkg8GQtsqpq4pMSdYHXXa3Nzn7+hmLWlMbQ9/WCKtBS2SuuLo4Z7wY8c47b6NUi0cPn1ML4fBWRrOYT7n92k2qyYTJrKASljfu3KKV51gDpa5YljXjRcHxxSVn4zHa1qx1OvQ7OUcHp7z85iWXkxntzT7LxYS1O3cYDHcpxyXLQtHrGaQ1dFuwlrvS5i0lsMbQ6SgGLe/VwFJVll5Wo8yUNhUXFxOqzDIY7DJrbTuvo3CNeZS0tKhY62Zc29tFFJJZMeL8+RHfPHyIyWv+l//mR3T1Gv/P//c/MJ5PuTyTyDvb3Lp5i/5wm7nsczWZ024p9rdv01VtlBRUi5KiWlCWJaPRjK+/ecaXz54yXs750Z9+xN0b17DaMJvNWCzmXJ5P+PrRc/7gL/7pc/ebhXuTtiyEFi6JeaVmigTxIBrxv8YxiczNf9ZUDPx5IFiE4GJJwTpK2gUB94LFC9qGYvGq9uwplhXrOd2KFBkkzihMXITT0zj06QgnxqFsED7urrGgif8oF64RQY1oNH8Q0ZJyjxMQ5otFJax8Y6xEZG908doUjmgyu2iNiABkckLOWhtjoG5qqxZXZMJe4IaQQBC9mbK0vDu91sLVt8YpbG0sHalp5w5LrKR79lJLrJVkypJrQy5cEwxjRcwwCEI7CE7rTa7Al91W2LgvicLEK7NOoYaVFfFrJnHKUNSpAnF5Qly5n2h4eBBxP1eUSRsiwDaQTVKCwpo39iOETxKi3QvHSAiJYQd6DNcn+mrsb4MWo+4bJVICt4W/RXoSq/vePMPxu2nmcT3C3JoaXpq/e4AUafRxVywxfBGEdQgthKeGfyaca89dgrHQpHNLA3PRmIAkKZ/N7zhyEonWaPAnQePO6QuxlK5oPKe5ToEevcIb+FtoWxtBf/6GGsnZosPN9XPaomRk+4xLRZUNGKoZObUrWhOHkLwVwQINzNC+8l8XXpRYYVzqrQn04f66Mexz5+4W/U6P//g3P+XLR88xxu2ByjIXTzZ1jIaFPl/tbp9Ot0eha4yFtszY3+phJ2MOjo4ZlyVoi61qMqtpqQwtBUbXXL95jW7e58nXj/jHz7+i1+95697S6XSQQnI1uuTpk5cM9zYZZDlLq7FCUNWa6XjGi6MTjs6vmBcVVhhaWcZyuuDhr54ilQvN6aKm1hWDjS20lSwXc4rZJXfuT2m1O3RaGXkm4vJJJIjoI0EbyJWhpTSMR+R1yWSypNNfoxB9ZNZ1KyxcWfU8V3TznK1r23TbJcvRmEWx4OE3j+it53z8w++zuXGdg8cTzq6uMLpkf3fIvWs3WOuvI2UHWwva7Zxbt/bIPRC9LJdUuuL8/JKDwzP+5m9/ytIsqaucvRvXuHfnOi0rmU5GnJ5dMi9KvvnFE04uT/l1r98CqGsyv8RcEmmlQ5xSwJq2om3899X7im/9IWi60d1lE+OKaPIG80qvbztbg/CNZSL9A5LACOU4hX9OI+oYDlHz/Adr1iavQuQPXppnIjnNMmHpScODDUO3A+el4MVIYmqDEYJCu3aOri93KrWT1AdBAK81D7NJHJKYIiYckzGCmPsm48qJxkDT6kSG699LLJm0XuiGVLkwP4sSlr7SDFo1SjpwZGUEoyqn0oqtVsVmt6KVGYRwykuhLX3tmLXy4QCt3dwr63AWC505i16kA1h75aIpIJWfRwDcBcUwoKQDcHCVBppaoe9lb5vWaiCKpGGuUlUQTJEw4v6Ixj6E2g9hr2RjixBBsKzA3IJ2BgjvWk0PCicp9WD342n41Zv0vvKzAVIQzbH6yYQ5NZU7EZWHhhgTATjpXnEOIqjEgUYDzQdlInCBBH41cd0SfC6NO61/uqMXlOGwBmVIGBDSh/ksacwiYmKa+56UV9Eo/JKYSPN8p3n6n+GbNuyhe2PiN/x6eo0uZr+En419DD/GdQerctbllEu9SU3O8TTnjXZFjyVLWjhsgx+EB7iluvwrHHd185VCSeUR68EIc+pNq53R7q7x05/9AkzNu/dv8uMvnqI9ulYKgRYSm1mstghjEMYiM1dCdr3bYb5YInPJ3kaby5OnVOWcQSY5LpZczWbcMEMykTEtakolGAzWOTs+4dNPf8np6JJ3r71Bv9ui3crY296kniw4OR+xQHN9b5fj0QJd19R1zdloxqPDU47OzzkfTdBak7UUuq5BZvzFD7/L028O+fL5sWt722nRHaxhipLJ2RlmMWJDniC7m67RjQAhA04iHIC4kI4itSXPSmRZMB6PUMM+hRrQzZw3QWExng+2REFHLpmPppwdHPHy4ACd1Xzn4w9YX9tmfF7y2edPeHh6zP7tAZ988CZbO3tQZSyKkrrTYWdn21VsVYJiXnF8fooxmi8+e8iLw0O2djd47fZtHn1zxrx+gbWa04tLFqOCk4tLjDVs3xry4e+9xa97/ZaYe2J6rp1hINbGgYMVy2OFAIOEJYms5iswmEDH0eX3CodtMsrAC4R/H9zs6UCtHtZXz0Bw/QeGBDgX8isPDQI7fkuEOdj0d/8+AHak92R0pOHWmmG7A9e2FVlbsm/g2lBTLA0guawEjy4MdQ21Z/ChbntSkFIUN7gaUxOMZnU665mx40Ihlip8TMHa5J8QjTmuyv6Q/pb6w4VrW9IwyDXrrZL1rkFKQ2VgoRV6LqiEZrtTsdbR+HL9DngiNToTOM3IkgsNFkprKY2kqARZaZjXGdY6LwcC5lr5bAnhe0M7ARQEeyo61BQSgXkHNHMgv8BsgyKUhIcOPFQEAbdKNCnGGyVqpPWwbA256PciKaFJULLyWlUW3J9Dilq6XfLyrNCwaAZ2Qh5D+oaj76agDNgQ4efuu6tFAR80Ebf2DdV1hV6Cx6RJRU1Ui23gE2Iamj8bKt4t3ddGJYSV8TcSzZxr2TNVF1YIcfeUcdAU4t8WfCvUHukAkd6Hv8kGwMWd0AbfIdVtEELEgkDh87B/3zZjkvJkBSzqDuMqY6tT8GKmqUXO6bLNh9sZvbM5F3YY1xiIHkr3fnVUgVwTn1MIFDLTbi+1b7QjJTf2dnn05dcYSr73yfv8h3//GZU2vv974s3OwyndGTYaIRUqU5ja0M5adDqCvFiwXMz44Q8/Zjn7nG/OnzAoF0zrBaqCoirptFqUkynPnz7jYnLFJ++8zubaGllmoZNhWi2OT12zlNffvIcsSs6uRnR7LXRVcno14ujqisl0xnQxp7YaZQVZJvnkB+/yg4/e4qsvn9Nqt8nznO5giBI546sxF7Mxd64PyC6/RgxukqsWAbQsbAhrJCsgk456JBWUU6aXY6aVxmroru+x24eMEgzU3oJYX1xhZydcnZ9ycnJIa5DxwUcf0++ss1gaxqMlT18eMSmX/Bff/5i7N+7SavXQ0rAclYihch7MylBYjaamKErOT08RmeGHf/QR13euUy3h8OkMKTWL8Zxjc875iwtMu+KDD95hb7hHnnf4da/fYrnbyPRSn3ER/r9CyqELmgoMk6QZ88q18W8x1azBBFfNc//sZKkFEJOJ3LUh+P110gvL4F4SAkQsaZZAV+G5guTSEyJV2KuNE7xBMGRY+rmzPjZyw8K6gjwGwV7LsD+0lAYybdnfkKz1Ba2OciklFvKWYFk5kMumge2epq5hsnACuKzdAZsZweVSUtQyFe8QTnvMhLNsA3NqYWkri5Ww0IJaiwiqsnFujqlZnCLjBGAC8AS3c2w+G/bBW3otadlol2z3a1c/GpDagUyWeYVSgkHXoFyHH4xfeKEE1rj9VAJy5SoICi2R1pUiXqOil9W+hoErSiTqjForaitRNjRGcXW2K1xUMXmHV8NAgXKscJZj5j9tKo+BjycX9ypNCxsEQMj69/e2rOAOIhI8yYVIY00h3AwXNX1MIioc+LBXI1XHhu8HBc1fL2xUdFa9WKIhzALW2rEt4jr5JEYRlIikQESQKDaBPm2aA2HEooEtiZ+7kccdEMLzARGFn2U1L7357abQf5WvhLLCTfxLUzCvYEX8vGTzBv5+ildeK2GBpFiFbJnGqhKJw79C0Sywr9xXeLp5NQDpXqXNmdZdNttz8nlJQUZlulzNa673Co6nNZXI/J1X7+AUu+SvaCozAlC+LJsQklYnQ9iMZVmyvbeJXi4weskHH7zH6fGExwcn1Mb48JBwVq2wYC3WZzJYCe1uC2MtFRphDMg2i8WYN995nXbWY6qXjGZT2iN4cjbhxqaku96j12pzfn7Jo5fPefuDNxCXc8pFga5rymXB8fkV5yfH3Lhznf31DR5/9YxFXWJKyWJWcnB1yeVszGQ6oqpLBJZOK+f69U3eeXCDr79+yk8fH9Dt92nnHTLVYj5eMD04YbIYc2ewT8sK5osr2t1NV/eAdDwsLm07gAkFAuoFUi+YjGeMqgqzLHh7b59O5qx1LM6Frmuy+RnF7JLpxSW9jS7vf/QBg/XrLC4XTCcXfPbNE37x9AnrWwP27tyht7HD4nTExeUFR/Mlb929S1spZpMpZ2dnfPnkIaplGbbbfPDJW2wMt6lKy3w8Z3x5RUsZRLHkxfkVu9e3uX/7Da7fuMWaGrKYhTY53379Vrd8cl0lBhf85q/+NyxcYphepASXvQsgJoYhQm58g1IbwjcVvrANhmxjAxL8PSNzCNaqv11o4xitFJEsmxDfD1abUjDILIO2RSpDJi3zSnC1dB2autJyq6u5uyXRAnptydLCfGmZzGuurSk6a8q3uzVkUiAzgVACKQXzymnKUjgQTiYFuxsup3PfSmrtCGhWWc7mFiUM86VxaYRItIbNTLPVNSy0E+RVbbnRt6x1ACWYlXA2hVGhmGqJtjIyhQwHbJPCdVYqtYxuV+EXzGI9HMcvJk6h6CrNsKNp5yCki1M5D4Flqw3dDPc34RSiUEnLWOmFespAENaSe/eqUtASrohwGfoKGEkmDEpZpJWuEZFxnQQz6XpFF3HQ6RXqDWoEWqSxh2yAUEGxSanS4xCaoSTh6TZQXqAlAa70qG3EyBuCGr/O4TREzyqhe6CNwid4NtJd0pv4rPSfmNffLN4TcCTNMbp5JByMiM7lpFSkdqtBEQ6KX8Mr5QVqxDkEJUCk5zf9BSvi2CtdTdAh/jk6ns2GpW1FRKHHHO4AZsRjXUSqz7CibDSe4dbcr7FIC+0EdljfhifCEr0N1n9g8XC0hhERPBBhrUK/iYBHiXoVzaI8zRPk29MCBsVM99lT56ypkpnuU9icSnToqDlKaCqyhgBv0mEKgTR31Ib5KQnCt+iWDlyntKbb6TCejHn9zbcYX4z4yc+/4mK+JIS9pIAsyzDaoq0GKdFaY6Wgrkpm8ymi28UiaOuaze0N2u0epy+POD49YVaUnJ6P6HVatATc3t9mPJ7w/PET8lyxPuhx8PIcu1xSFjm6A1k2o7+5wa3r+1ydj3n67CWLakFZVxydjLm6nDAeTZmXBdYauq2cve0hb9zZJStq/qe/+5zD0ZS7d2+yublDT+1xcjFFVwv29jYZDrYwRU45HyO3bORv+FCjNr7gkE35/dIU2LpidDFC25L+xg79dtcp+l4OSQGqXlCOj5lcniO7irffeZ3hcI9aC4rlnPOXR/z80y8pMOxsbyNrw2x0zuTknEcvXnL3d3+HlswcaG58xenZGbm13Li5z2t3H7AYL5hNplSF5eTkksPzY+q1impRsLHR593332ezs0kmWiwXS4piya97/ScUsQnMoKmD4k96KLyyouM2jkP6JBwSGpp30pttukYEK91dEVDI4e+pOGITMd8c0+oTw8ELn8fYnAApoQMMcs1217I3EJBbisptZGlhrzKczS3XM3hwTdLpZ2jhBFzfGnYGYK1C+5i3EJALSaYEpYWqculAaEMW3aMQ2nRa5UbXzQRKQlsL1lqW+0PH1EeV5WikUZXlzoaltybc82vQtXVad+YYypaFvaFmXNQ8uZSczzJq41yOLVkzyDVSOHDPZem6762uYBILygv7ltSstyu6uc9N98ssheMntm3JFSjpLGsljIvJ4wS5sCBFiNK6TAgtTATcYaEKOAFhyI2hRFAb37ldO+sopCIJa8m9IDLeis0EZEJjEJRWerewiApNE/bVcMytIKODjZ5cz+5n6rLtLSSRfAXhuysCZpUgV9oCB0VLNL4XHeteaAT2HYq0RKvTC7bgjlYCr5ikcyOjIuBiIwlhb2PYqHlCk+Ue3hPXyazMJc242ec8nfCGEiSaT2hYnQ2lwc3Li2m/h0I0R5AUTuO9ga5ehI3AxrAW8SXCk5xS4n0W0fuxOnNWvIqBR4ToXMDcIDzWIM6FqOS8irvBz/TVZ6x6EQSnixZvbyvWxJQTsY7RionusSXPWJMlhWmTKKQp2NM6p1cIVxDaAlLrGq0rMqlAZmjg9t07lIsJX335NbuDDh0pKPwULVCWlcesGKw1YKEuSmb1gloesrbWpdVqcev6HbY21jk9eMmnv/yaZ4enZLZiXgguxlNqBINbS86OTplS88F336U8m3F4cIiRFonCqAxVznj7nTeYTuYcPj/ksy+/pjfsUZea58eXnF6MGE/GVFVFK5Nsb21y/foeW8M1PvvlE3785VP2dnfIhGRr/zq3r7/J5NlPmBUX3Hj9HVR3neVijsxbQAhorGIyovyxFqsN1EtMVXA+mjArl9y8cQ8pshiKDqnXZlExuzij0gvuv3WXzZ3bLGcl44tjnj18zE+/eMzxbEZ/MGR9fcDO+gazgzMeP3lC794dru3cxCw1z08OOLo8ZGt7wNvvf0y31SNTLYyyXE2uOLu45OuHL3h6esx2t8fbH77Hja09NjZ2oTZYXTsl4J+GkQP/CXnutkFQIaUmEVtwbCb2llbQrpwgASmljBQncwufmKq1wT3edG7FVPjmWYrE3bxfOHBNBpF+dyPOhKEjDTttw801y8ZQkbcEWS7QQrkyjhgULp3k+sKyngn6g4xagtUOMNfKnFWOcOCxogatDUZKSu1SJ6R1LtJcugyAMGdhnfCzHrUazme7JbG5s78KA/OF5o6w9DJotRVCQS7AtiCV1iMC0Vq5otW22Azm2rIsoCM1w1bNesfZEIV1DzueE33LrypjTiBYMmnIVcAgkIrCeNS5xUYAmcYV2xDSiazcN6eJ6HBPBBlQGVda2GqBkpYMEc1ZB+ozKKucEiAMSpP2WhqvpLgx5cJ5OmoU0rh1VQI6skIKg8G10CyMcl21Ip14a9a/jxXyPKHFegFBabSBYSdxlXKdg3fJRtyEs37daqZa7TKek6BshDdBOCZBktQA2TgD6VA1T6O/2iuOKzAY0hkIqk4U7cIJSadA+Of6uUv/N+NBpCE9btVVb1eeE363K+MLdSlWrf2wdAkDk+7QtFGNaDDnsG6CZv2fxlkPylG6dmVcYnU9mqoOiJh/77WjVZ4jXkV7vGqoNLmh3++GtwIEi7rNQgsGrQK5sFghOZ0Jbm+1aY+XCLEWx5sCgkGp8GvQMJCCl0R6jVsgqOqaytYIpRiur1EtZjz++mvuP7jBbGypqq8dL7aAtRjjFSKfviyFoK4qymXBuDIcPHzIxs46f/q9eyxHVxyfnWGM5b//s9/h//Q//g0nWnM8mlJaw2gyo5O1aLdblAvLo6eHPHxxwmRZoq0l67T4+Ic7bK8NOT045uGzA2orOD4fMZ8vOTi+YDqfUuuKTCnWB30Gwy6YmidPjnhxMkXmOdu725iq5r2Pv0+r3aUoC3r9NmudHuXlFeeHRyyNYrh7l5bqeWBnQ6G3YI2lNmDrAlGOWE4mjGZzOv0N1tavIU1zJ107W6FLrCm5dmuftbV1FouS+cUZR0+e8/Xjxyzqitfv3ORkvCDvKOrZjEdfP2ckS97e36UsS8aXV9RmybXtHfb2d+l2e2RklLMly2qJ0ZqL4ym/+OXX5OuKP/qj7/HmgzfJagWVoSgWzBZTppMlh+dzvs8//frtlnsgcE9VgSla96NJ+gQNOenQ8SaxqEjzMGMToxD+viLeIwAfEjtI2n/6jiVp502WKHwBjXCdEIJcWK61NXs9w/aaYNBXtDuyEZBzHdFkBpmQ5AqEFGz23SE1gDSQKSc8skwQynZW0oLx1rkficIiVIDBCN9gwgGajCUi0138y7m0M2VRygkgjRPknRa0Oy5+qXDNeaTnZjrwocCYcQuylhvuDysWpaUtLL3cOuXFCMrCuaNyjEPGR8aZ6sdLL9i325p+y4HoojfaV6FpoqmNt9JV5LLOojBWuMI1QCZBeAYprTtoVrl61sK6yoSVUSyNovIx9uDhMEJEz4CUxuXOC2+NCjBGkONAe0JZWrKmJXS0EksrsHWbyji731jX0TDUKQhpT4G5B+ut6duwjbk50vQAsBhsD8LRcdwmALAphsOnzlEbaj8Ewefv5e8dgKxW2OgOD99OzW6I8f5g0ccTk27XcIs3Ytk0mkA1hWETsBk1s0hh6QRGIRuE2atXpHPvQmHCrY8InwmEjU9yvMErFsGbEoG26alR2XgVqPvK6L4lhZvC/1U7eHXU4b4muu8Db3GfrioHbp1WBXmYT6pd7+PuusNGa45a1BS0mep1DOcM84LD0jaopclF012bgt1vAeAsUKsA4fgJWtPvtjk7fMHtm1sMhxv8/d/9hNLzG7AuxIZ1wDnj1r2TK4qFQlcFw81dytmUy6NjNruS04MDdLXkz//sd7g8LZj+D/8jFwiyPGdZFEz/7qf88Icf8cOPP+Dq5IpfffmQL56fMFuWICyDzQF/srvD2fEFhwfHvDw55eRqxGgyYbZYMp3OMbZGSslw0GNjfQim5vzojMG1HW4N1tC3O/T7a0znUz747ie0FhXn5xPu3tyn1epTno84Pzxg2BEUo/uozTedN8vgiqfhcEG1ttQaqJZ0qLi6mDCtazqDXVR7QJRBnn6ENuj5mPYgZ7jRg1owPjvh/PiIrx4+5bxc8oe/9yEXLxf8u59/iagqXn7zNePzSz783Q/Z7PYxy5LZaMzw+pCb+zfItaCsSgqzoNIVy+WSi7MrDg7OODg758//ze/x0bvfQVnQumQ8XjAvpkynM148PeUXj17y3/+v/2kq/o3CPVXhSmynmdITZHu0cAI5WrtKhJ7IGxHJ+N3mJ9YzTuktH5s8d/6JiVlEAb9yeJsWgPQHwOVmDzLDjZ7hxqak11V0W4K8JRFS+DLMLpZqrBOoUkpkEKJCuAIGFjJvlSIcE68tLLV1pRmNT4fzmksA6IUYYO215SBEBD4FShuCJKiMoaydJp5JwVoOmYVceYGJ/5ty4DKrDcZ49mcdMCYTLg6+N7ToOqXLGQvL2jXraWchF93tgPVcOvM1v3tZTS+rGbYrlEoNKxzyVMQ4aOC80nfp8caA3wQvoK233SIYzRGNwgscf08rXAEfbRww0AK1lSvWYy4NLaHJhaWlnCteW0HlKSnHiSslrR+jF61W0JLaV8oTFDpvUFEgILuicDor3eMHPD3FGLUIKNtAyDZOPCiqQSNoAvBSKMCvj39uENLpZInGFTaelea/9B/rU9S80kGwxMKzQ3pVElkN0RVpNRQ1SkfKz8ufXAnR89G0yq1XsERQ4hvLan3BpABCM55LyKAEe6UlTDn2CWjsin/cK6/VeLl4Zeyv/pKqTtp/6mYrax7+G8MlKyv2yu0DpxPN8QoiwLCZhSDAkHFZ97gtJgzEgoo2M91hrhUb+QJVGqyQ8T688vT4uViFZgqVIaVEKAlaIaXDlNSmYrixydb6kJ/+7CsOTido7dYigDcFgLFkUmGtpTYGIQVKSdZ6immnzf7N22SmIM/grU++R57nnB49ZqoN87KkL2A5N7Q6OfvX9zg/n/Di2QFPj45ZLJfMF0uEkOzc2GU5K/jq9JiHX33D2XjCbDLl+OzceRCsC+P1uh0GvR7SGkxp+Wd/+DG/9+AWP/7ZE+bnC0ptGG5vs7GzizibcHw+4267i0YyG00gs2z3WqjpCXpwB1QvNhLTxlJb67IFrEWaEnTFaDRBC5CdNfJsFYXuyMbQ6mb09QCpZ8xnEy6Oz/nq4SP6O13+5Rtvs9nZ4PThYy5HY0SvjabHBx+/zc0bt7HZkMl8wfaNTdYHQ4R2Bmhd1MyWM8qy4OjkAqEMuqzp7Qx56637dPMOxbxgPptzcnTO4+cvOb0aMR5NePvN/9xUOJGE9Qphuw+Jxz5ch23kBYfvNgk+KQqBmYZo50phRRHulU59yHN3f/bCBkno6S7jQQyMSIDQrGVwu6+5NrBsDhSqJWhn0MolVjmGluFR6EI4y9wPREqBClaGBa1BCYFUTqgXNVRaY2tnsSsho0CPWjvO6jQWFrVxeaTCV0vyN24pgZDJGWsQWGNoSYnKnf87NNYxuDFJ6bwIrn53EDxOEGXSojJBJhV17gg4egaspq0E7UzTzqSzMI1jPEpoWrImE4b1Vk03cyUbwbncpQ3rEYA8/j8hZup9fU0QprTChRE8rZgIYBNJMBuXZVAb6Rtw+AI3zgxBWLcnmdRk3gWfSxu9Ka7QpKuj5wIPKhby0IR1dgxeCe0OqpQOmGdFjKs3hWVUeALVRuEbWGqoTZBou6krpPdNW91bx80MFH9fHRTChmQMBaO+jTtxgayIiI8grwbzt8HqEEE9ILjhRdgDEc5WOjfNDADRVHbCnooEFoyjbE4+Dt/dO1m4bo1SnYKg3qR2pim05gW3v1Y1d0WksFYEhDa8i5aExQniOngCgzcpicyVoa4I+EQD/l1jemGMK9Nt8Cn3LLlyt3QNXBR93tjp0B8tucJSasXSrrHempDPHKiueX14kPNyuIkL3D6GvynVioBlpZKvqNPO2dne5puvnnBwckq3rVzPd+sLZQmBksmPo4XE1prFdEFZlBy9eMlsseTea9tQFdx/910UOS+ePOUvf/4lEwF5ppCZYm93j63tDZbjBd9cHPLN199Q25p2K2M802AN48mUR49fsDi94PjyirVeh7qdI0xQ/iVZJtlcHyCtRWWWP/ujj/jz3/k+h09eckGbTl9Rjyfs3rpDu7MGHU1hMmwlWU4XXM5mdDb6dPt96mJBUUzo9HpuR41BG+excD8NmV1SjEdcTKZoDLIzQGVt3/wsqv0ImdFqt8mWUC1rLo7OODo5ZG2zy3c+fJutwRbTccl0WVAsl2Q2486dm9y/+xoyX2O8LJkXBa/dvktftqjKgrKuKMo5i+WU0dmERw+fUSnDUmq2dzbotnOqYsHF6RWPn7zg8PwUU9bsXt/kn/3xD+h2tvl1r9+e5x6s6KigetMzsfcGmUcW0hDUDfBMyKsU0EThpvifoEGv8WCIEOyMzCIhe9NgwwlNx6klBPfWam5twWBNkeWSTEJLSUTm3MUC52LXnjNmXuNFpOYggSHXHlnpLE73DOXOsQeNEUcWFIzAzLQ1vpGDcXO3xDlIIVyKmnCWkbSukppj9sZb8YAUvgVoYsCBYVlM3B8p8AAWkdy3Ft/O0c2royz9lsZYqGrXbaslDR2laStNL7PkmbOAlfQlgf2CNLy+TsDadACa9cqFAJnZiLUwRvg0OYO1khpJpWFeCZaVQ8qXRlBpSWmVFywNdi9C33YFwlfS9tgOKY2rfGek739tqa1EGAfUk17R0rjsgxrhwXYCF3qy0QALGQPxcIhGnDoIbBv6AgTbVQSDKgm0ZNDF45HoPwkf9wixqhQnidPALCSh3UCpEFJKQyEkB7KKkK/U+hjif2PueDpBK27/dJqTMItCUTTPeUPIiWQYp5CNXxRPNC6cZCJwLQpfm1LQPHtI44rPTX8Xjd/jZ/F6GzmTeeU+yqb9XFXKGpidxgIEV7vC11v4lnLjBhNqTYBoeBGaCktA20Oh20wWNbtrFUdTTS0yTuY5765Z1uWCpXWguqgMxgk0lLywV8KXZlGhwIRA+NrPKlPsbW/z7PFzLi5O+d6Hb/OX//FXCCGRQqKyzK2RdV5HN0Y3z6Kq0FXFAtf4RFcFe9f3QGsOn7/gH37yS45PJlwf9jguNMONDT765GOurQ+Znl5ydHSAris6LQXGYLTzsk0uxzx9+hxVlKAEee6yA9pZRl1WSCUYDHrkSoKp+Wd/+iP+7KO3uTo95pePDzmZVdTGslgu2btxi0xkqMGQW/dfoywMJ0fHXM0n3Lp+jW5/h/HlkrKY0+4YFxK0FqMF2mgqbUFrRL1gOh4zWiwpjaa/fRts5qqIxrMjyGxFVpyiywnnZ+ecnZ2Q9XM+/Og91td2MDrj4vQ5P/3F1yxFzVvff4vX3/oOnVafxQJEq8WdnR06MqMuF1RVxeXVhJPzM44PjhnNZ2zuDlhvD/hqdISUlslohK6mHB2ccXh4wM7Ndd64e49ef8BwfZvF/NeL8N8ac7ext3Y43t5l1BDCafo+feYVyI1oSINwfUxD8YetqRo0D1hULFhVG5rfEKusB3Cx2Wsdzc11WF9TyJZESWgpkMqnpxjvTvZ3UcKhvkNBC1fT3THuyjjhaP0cXf41CcwiZESaroYyBEtt0C78i/LzNj50kSxCERkgIsWBMyGQisj4g5fERM9JsFfdzUJqoLVOobDWXauNwFqLkq7OMkKwrAVliY+nG3LpkO7tDFqZRarQDS8O0he+aFgoJExBYvkNhhy2xBJxBm5sUBu3rpVu/G6cNS+xSBm+59KlaitQaAyu/K0TIiZShPMEKLR1KPlmOpoUrhjPUruOXMYrD03xZDwaW+BBcw0fumm4oY2nX0/JcYKh2UiTFE1zf/2YBKHqmF8x4Q6CjRLN0Yby+xjL5OIU0TAv3WT88WQ0hVzwDiRhEz5P1zZ3rTn0BLhLvhbhK9W5SWkvyaNCKxI4MWgwK2MKihHuzDg1Lz3YNp7fFObNV5rfiihuKBpuzE5hCAqMwIbKdiJuRRqnhSZYDhIGo7kjUqwOqalkhGYKK4qvH5NIDwMsC9Omln06TGiJPTQZ46qNamd05RIVeqo3FcDw/Ya2GGhLeh5lhELlGcpaal3Tardod3LGpyM++PBdjl9eMl3W5O0cMscITVWBldEw0FZQVQbpvQPWGHZv7PH+u/foddpcnp7zy18+pMLyv/pvfsT/4//zD/z1y0t6vTW6awM++v73+fxvf8xXk4cgBBmuja2SkqrULBcFRy+PWV/rsb7eR9eayhh63S7zosIYQ6fdQmD5wz/4Dn/8nfucHh7z5HjM46uKSiqMLtAY9m7c8rgcKIuS6cIgixlZR7I+3ACZUdY1tba+YFXwYBoq7Tyxsi4Q1ZLR6TnjxYJSWDZ2b6FDIRXr994aZLmknh2yuDpjNLqkP8y5++A11rdvYZeWq6sLfvqzL/nm4oz+fo8HD+7R6Q7QtcRmkvWNId2sTVUsmU4nLBdznj455HR0we7OkFt3rrG7vUUxgeffXNJSkvHlhJOTGbNqxtsfPODe3Xv02z2EFpSVZVEFFMG3X781z71piSYEe1Nnx5eD9Mc/WCvCrmjkNjAZG458iHP799YiMZFgm+pEUiQ8QxXJuoi9nkXQst37vjLc37AMB5Ks5Si1JV25P4RwTQzCs3FWoAOqichBYpzMOCLPhHEucR8ftjoBc6xx0d1maVONoNQWXWuETv3M8YxdiqaQEPFAByEefrhWqe46Yx1TrXyOZu2BISEH2PocTqK158ZfG4eKFQjyXICEVm7pZDWZH3QuNJ1M0wp+UBGNASfgop9KYGTYIfcKoZtYFS/uoRtzZUBrGWO2hYFaS7RxcfbKChdf95XpYrMGRPQGKAxKQGkFpcmwQpB5H60SRA9CtG6F9R32JJmoUUrTEgKrnRJQ42rjiyAwRfCMOAUuWmreZRzKV66eipXjkoSyaKSTEayiJFCCkAr520FIhGirW7fkkk9nwkbaDA19QhfBoHBFZTcqAh42GIVOiHN7cFs4ml6zCd4SG+8nUuU9T7PSulBWuKPBRqyNdzql2HnSkViphy+SRQs0lDGvNJMUR0hNWWzj2iCEg1iWjbVC4GL+Nvkomij7oBo3ZWYTXxRd7yJ4P6Ivwq9vkwaE24kGSUTMgogjBaC2GaO6x832Ka1FRWFaVLbHZF5xrV9yMDEOaika+I3GU9y8vOLgP8sE5Lkiz3OqcomSlrVOhl5Oefvdd1mMJvzq6+dUSNqtFqXWrjpbrliWmrqqAUutjSuRrQ1In91TVdzeHLI4veSbXz2i18v40Q+/z/nhFQezBf3BOr1ej0JXzIuC4fY2W+ubTOZjxrMRrXabXrtFpRfUVc3ocszGxhBrLPN5gRHQbrXpt9toaem0c77zzm3++Q8/ZHJ2zk8+fcjnR1Ps5h4qyzB1gcgVO/s30AasyNnauM7Z+VcYseD1+/dZX9+hHE+4OnhJoQb01q8hVC8wa6zxGT1UmOWUs9GERV2RXbuF6mygjfPAGM+XJIJ8vmB2csR8MYOu5I333mSwfpPl1QJdVLx8dMg3Lw8phOWNu9e5e/0O9XTJtFiQb+7RUjlVWXN1Nubg+ClnJ2fMWfLRxx+w0V9HCMViXjGejZnYAovm4OCY7XaH9954wO3br9GRXcq6pDIVo8spYzXg171+a4W6hOFt2M3ewkgo1nicVsAwwaYOZTUCYb7yjYS6F6AarvugQgQ8bzgiobmEY+CJyMPthTC0pCvukueSzPcRl94vljIDvYXsBbaUzbv4g++tTGkDqMyNU1uHg1MBJCZC+Fl4ARwsZu1cgTIAqlJMOnCqwOCd1037GGpw1ceF8GtuKYw7fNq7mIzPCau9pdnMTKi1paxcrN/i40zWFZjBaLqZq1RljUVIgw/Do63AGteaU5sgLILV7tHuogm6THNqYEy9AgKldhY6uNj6TCunHVsoauHqy+vAqrxyYL0r3y1fjJ9XuNQ2rMtrDyaO00mMF4h+z71g0wikUUgMmXDFfKSN4haLiLHdQKPK03pg9CmLIwke/GhNww0eLVyC+zzelFjYicaaieZJCScj4TDiWbHpO7rhVpcNC7ppbsa52NXzERvKhEubiFU/n7intiGIkyYXBapozDmq47ZJE4neVzNjmm9W5aQi0U+YfKA768cfnvlqGp0gUGCDa3ilP82XsKKEsEoUxA3jpKEmNTIfRPSkOKs8rFhqRhJGEmPiXqOIBjyS82XOG1uCNVEwEX0WpsXcdmirJRmaSmSrRs0KX23+9PMUhkwITFUiLPT6PTY3N9nbv04xX/CLX35NVVfUdcWirKnKCruUSCUpyhobXOdGUxYl88XcKZ1KcufuTW7tbnJ6+JxOP+O73/+E5ajgbz99zMPTGcPdHjLLyFttrl3bo1tpHty4zc+++IzaWvq9NnXpYt6T+ZLFYsFkOiMTFlOVcX16a12EErx2d4+/+NHHzM+v+MlPv+CLJ2dkgy0y5Vz4y0qzNtxga+uaq/dhoFpqRmdXDHdzesMNjFEsLsfMphdsVS/QsxPk2m2Hmvd0IKQhM0vmoysuJhNqU3Pzxj3PCZx00NY1yFLCYOZjisUEbWruPLjNYHiN5XxGpUuKouL8fM7h1YyNzXU2NwbU8wnTUcVUwrXugMW8ZDK+4uLsmKvxFZt7G7yxv8PNm7cppyWL2ZzFdM7Dr57wsy++ZP92j/W1Lp9873sMWkPanTamqqEyzCZzFrWl7u3x616/BVDX+N2u/i0hNZOFlthyYFYJtdvQg6NWHe8r0j2duz5E1hOjCeqqwFlwonG/5qFyTFfSVZo8F15QuaYowfVmrItzK4jo79BjXDQm7YShszpdLMtLYOuAYQHkF9J2wjC1cULVGOM8CwGAZl2ss6nvWxwS3xjvXrZOyObSAV9CbnNg4MaC0CCMVwass1AhCHVL5QV4WTvBrrUhx7rqcgjK2rpmDNYglS+o45GqNbj8TmmxHmhno0LkWKf0oDYpQVjXKMZZgNIrKimv2Vrr4+hOUAMsa8msSoU7l0ZSeR9z6CmuhbPmHb1I10wGZ69GWrTumSkGjV8jSY1FGLdn1goWRlJhUBi0pyMR4vZhtz0+xAHI3H5oT3cOlxFPA0n5S1SdlNFA2EFYCL9hiVqbd4rWuZc+qc58EOtJcZas0qf7fjh3/p7WCaOgFDlmllDpQVgJG3AISRg7F2RS6yMuJmkiDb6Q6rCHARpLOksEPmFXvqfjnZrnJqoCUVELCkQIYYQQnfCXBzUp3KO5WsIrZ4bgiQmIfUvTaGmoCVHAW79P0eMYx+hL59iGovCqotZUx5ohLUGsbIeFuemx0JqhmnNsNim0YiEG7MtTeqJkSTsK9KAUBCOiyffC2lm/EHmWIazF1C4uPeh1+PTvf0xnLeNud5eHzy4pjJurMYZyuaDWmqosqaqKoipZzmZMR1dYaxBSsrPzIXo+IVOG93/wMWVl+dWvHvIfPv2KztoaWd7BZhl5nrPUFfnGkBuvv8b5dEx98JzR+Ir+Ws9lHCmJkQplwdQWpEJlYIsla/0ue7tD/uAHbzMfj/m7n3yBabX5b//5D3h2OOfTkwWl0SwXC+6/8w79tQ20dudq9+5dDo5/QZl1MCJncjVmMhmjWpa+LKgmhyxae2RZyxtyTplWZsnl8TGLyqBaXfrb11FWoo2k0tJ16hOQ65J6fIxmyf037rK9f4uqMCzGE2ZFxcOHh/zdVw8plGVtbcDmepfF2Rmj0zGde69RlzWTq3PmiymVLrn74B7Xb9ygI9rUhaFc1kwnc8aXE375+WOWZsnHH/2A7777Nvvbu5ilZTmfUxZLimXF1WTJqHcL3bnDr3v9J3SFS+QaDo87h87KSC7FJnuxDQyNiESe3H7xTLgDbNMBCTnCoiG0DNKj8BOji6AlkQ5TdEUKSy93Z9FYG9u1QnJfu+8mhhMqqoWYWe3TJGrjKsEpaxH+RrX2Yw5zCKyicfqsT/2CgORftdANAmudbWHitGych5KugE6o0y69ZbjyLO+CUMIJ5XkNRguWhabUmrq2iID+zwS1EejauJAEuHQ67ycPTzbGEb61AQ0uvJWcmKoSAisFQnuOIpx4rY1va+sXUfl9qYygNBbt28RWxrkxSuuEtg5KgV8LgSD1XRc0G99Yb8UFHEdsDOPfG2/3VZ4jSlLsvdaSUKVNR9Yd9svh7aOlKSwhF7PZx6Dpto1b/i2Rnf7eCMqugMCaCvGrAraR9R2vx1+nJB7oI+JYE3LcvQk/3Xp4erFJUAeVKZBQsijdhU6YJmHrliOB01a8C36A35q/F0ypDru7OljTwfMRlBjjBybjzcIdbTyvpqGMpdDe6ppqkSr6QcO75NdKNi0LwPjMm6DUOTyEw1/IFSUj7ZoIB6GpvJF4h4hg9CbKgRCWBwFL02FWd9nIp6hKY0TGxSLjVt/SlQswfaIq558X+JNdYaDugizLKZYVnbbPrskztvZ3OD16Sa/f4cGdu/zbf/tTnr54wWjiOq0ZY6jqCqt15FVKKYQQdPtrKJUjM2fpWgVvf/e7QMb5s2f8+LNvOJ2WtLe2EEaChpaAo6cvqIqKpbHs7O1zNRljgcV0jlQZWhtmpWZv/zo5cDlyHc4GwzUGgx4ffXCXzmLB108OefPdu3z0zttcHlzwD/MxOlNk1nUOuffWd1DIIGQY7uxTVCW94T52aZnOx5xcXbB3c5t+Z8B4OaEsFwhyz8PA6hpbzLgcjVgaTd7r0+nvoHVGoTMKoxy4VliMVlir2Lmzz8bONUxtGJ+ccjm+4vjwjL/98ZfoTLDd61Iag1kuuDy+4GI653arx+RqRFEsWRYL7r51n/X2ACEVVhuWszmz+YSiXHB+OeX44oI3PrrLD773XXqig65q6qpAVzVXV1POr2Y8Prpi8+P36MgWv+71m/u5kw6+9RxCRMaa3OfucHoBK4S3HBJoKDIXf24TIj5qAFgaES0Rni+itRGEtsujtQ5dHI94uKGNcXeEpbKClg3RLutBbE3LIzGJUIRFCNfYRVtf6MT5sON3agvGC/cUs8c38nBlaUtjsCbZuiE+FtbMWLC+kIQNTIGkBBmccuHDhU5ICessLSlWFKKo7FgwtaEuDXVtKUqX4OXmJJBGUhnj0PqeyxibkO5BQAdr2/rQgAO4OSu7JVwhGyEsSjonskFijPMIVNoLZ+sq+OXSsdXahrrxwj9TUOPWytjV1htJfUtrG8SSsM6iT9ZUgBMGTEKKhjsEfBAmAmGch0IIFekxCglPX80os4n7lXAfMuxz3NmERI9uW5ss73DfFes2zNGTuZtTmnSav3e5k+gsF3hAofRCPfkLrGicyZW1I9JnEOjh7oZVxTNagI09cCEi28C5uGeF50DCErwq6C2hcUzC4qQaAiIqdBDK+oZ72LjfKxkAtvkMr+iG+ViXH67CMwKviYmDzVmnBVdR8bBx3VKTLFb+lt431IMQFw/ZDjL6ABpfECvftRY0GVPbZSsf0RYVJTlXyw5yM2Mjc8VsopJlw5zSWCOV+MF0222WkzFHBy8otabSmps3h5S6yztvvcPBi2M+/eIbri6vqI0ApcjaLbJWBwfgFQiZEbBRUmVI6VQpU2v2r+1jlOL8+RH/7j/8mF89OmJtMMB02hghWN/Z5Hu/+32GMufxl19xeXGOxqK6PcxSU2Y1V1djZsuSwXDIG2+8wej0jLooEGt9WlLw4MEuex3BfDnn93//Q15/8y3OXl7yy2cXTMjp9hXVdIYRgv1rt0hliyWd/hot1WVSlBTzJXY6Js8NGxsbSNtGlwuM0Q5E5wHK0pQsR2dM5wuMNYjeENndYa5zCpNFDx9WUGuJ6rYZ9AfYSjO5uGB8dsqjJ884m8/5gx+8xv72df7t//w134wOkMWCi9MTencfsNZaZzmbIds5tzZvs9nfcDUIipqiXLKYzVgul9iqZnxwRqFqvveDdxl0e4jCUswWzBZzrs6nfP31Ex49PYBBn12zpJf9ZwLqlLBYK2PHIH+KCPwwcEgbBaYXtaumQNS6RdRuvUCERtGLxBKaX06HPSqpPvbd1JrTdVa4rlc1gkp7WzcwL4u3zpKAjxaqda5sARGc5YSP+6JDneMFr9fobRhvArqV2lBr46rT+ZPnnmGjBeoUDf9smywLt+YB8JU+ExDT0UxQrLxiYLylXBkPaBJONLWEbfR1xjdIAJARrY61vqKci8E7wewKwhS1E3ClEdTGFaNpKYeobyvrQX2CQktq4xhvWD8pLKUAZRw8rLaCyrjrAgfX1kPUbIPJNwWcV0rCngcRYr0FKf3+h4pmISYunY7k1836NLL4gb/3qjQNNeprREMINy1VN56IfBdpvLohzBydu32RCF8RzkahFCg1IUiSwosgepVk42+uvoFGElL3IDMO1Wwa0rSJcwivkA4WxtOQafH+YR4qCNvG+sXrhVgRmHGPXnmWDdc13NYpTBHq9Icu44319LQcY3S2ofxA9LCtCvfw8neUzvJeKXWMiXOJveFFDBKkicTr0x7Fu4t0rST1uA8ljq0w5ALa0rUzLoSiMmCkSy81fl0A72HxTYyQjKo+t4YzupOCqe1T0mG0sGy257QqTRm5lfWhABF5ZwBeIgSZsAz397h54y0O/vozyASZt8CvXbvNi4Pn/M3f/ZQb167x4rJgXlZYHKhM16UzRHwveDAImQOgyyVlWfP733+fHLg4OObHP/k5rbUO/7t//Sf8X//tz/liNKbbXaMYz/jFz3/Jg9u3yfs9ugdHvKwKam1YTGccvjzm+PSYTqfDnXt3EEJglGB9d5tOr8NiPObm1hBZjXnru+9w98ZrnB+d8NWjl3xxOmJG27U+XS7orA/Y2dnzHkRHib3BAFHC2fEFs+t7mNGEbD2nu75FfT5jOprD7gKh1kFIpIW8LhidnzAulpR1gepuoLMNapM5b6INnh4LwtAftMmsoJzPmJ2c8eThE56eHPE7v/8dXrt1j+mFpSw0VTVn2N1ne3+Hrb0dysUCWpK9/X0GWRtd11gJxWLJbDnj4mrCVw+fka8ZxlXBnQc32dkYUiwKiumC5XLJbLTgpz/5FRfLSz74+C329m9jOm30t059ev1W4a6F617cTIlbPdjNXPfV1JbkDk+HJsTK0mfpfspzlsjQbbJ3U4eq5LQUIjHCUOSlo0BllnEtGC8saz2ojBOMuST2YhaN5xoLpYFF5fI9O0ogM+m6BxkbkaOK4K43MW7oNF4n8CujMdqgrEPeWy/wBVBHgQyVdlZ5ZGrQsPRcZ6yAbA/MzQ8hjV3YmDeurXGoUV+YAeuAcbUvlB54gg0ocgQZAqsEpXaCN9h6S+8219q5eX0/CpSwtITLhc9EyhiotRNe3cySKcfUq1owqhQz4+PfjRrN4BijiQIpWEmJGlYYIs3Is2gAtRytpGy1VBc8+HRkFPlpfUMKpgxmomj6B5LSGlEdInyPBojMg7uigpis14TWTjQeqjMKElN2+xoYvlMWg+4TniuBjtKAobaqgUGAAPhqFnQJ4zeNcSThT1R+4tn1Z8yKkNtv47gSsn9VkAuSlR/eN2PTqwDLZsQ9xfBDuC0LolKkvxsvgCGRRVTWRFCAmxNIypttDLIJ0g3jTyI7vRexSmNSdgTCp4A65TmQgRQOQGsQWAmD3FVL7OfGd2Oz1LVmUkkWRrnaGAYqryAFniM9/RSiz6Io2O4UnC8NtchZyDU220vU1AfFQtw+Ts16JUMkL5IA2+7yo//2f8NydMiToy/JOi2GwyGL8RVff/45H374Bi+fXMHnT916eP4jlcJ65dyYGqu1q00hM4wuuX59k9t7G9TjMc8eP6fda/Enf/Yxjz57wkVRM9zYpj8Ycu+t1/j9H3zC7OScL05OqbeH3KtqfnVyhgCqogBj6Ha73Ll7h6yVoRC8ODzh/Y/e5c2b29zaynjtzmv0+wOOnr/g4PiKR6cTTmcVsq3IfYhga/86a/1hI5zksR95i+V0xvHZJX0DN/b2UEaxKEqKqyN606fQ2sTQxlpLVkwZn18xW2rKuuLanXfQtosxvpOBDZ4jh6rviynL2ZTlbMazlwecL6f8yZ98jzt3XqNYwNHpKQcXp+i8Zrg95N4bD8jyXWayQ3ewRr/bQ9bG1f6vCw5fnvLw5QEvnr/k4uKC/Vs7TIqKbj+nKiuWswWHhyeMpxMeff6UzWt9fueDP2JzuENZZlzJFssmUb/y+q1FbKQIKFybBDcQug5rkQ4HQXAKl6bTybRDGQKFUVTeGhQ2MW+EKyxhRbI9YmQwugIDwwtb6T7LhI2MJVeGYcvVUC+ARSVZlpaitlipfdzedV6TysanaP+vrA26dpr+QlukDoCpYGFbCO54QMgQqXNc3/gYfWACrzKUSpsYq3dtLL2qlIxKLL4kIjima5OpIoSLnYcKcUK4fE3nXXB5m7UOwt2tl2vx6iwlJXAF3zzRiiBTLVBDWzpGpytL7Z/XEbhyr8rSloZunvbI4iq7dVw9GdqZJfOVsZa1xUrDeCldrF1IdDiIfmzhZxCSgbGHEIVo7H3Izgi8Oyg4bpl8dT4b7FPphD4NgJt/drBKnXt6FdjpSTzpGYEE/TUyxvQhibIgXppx8ni7xnf9Zw2FNZwVJX16Jc67o70y5ISkpZdpLJZppVbumeFiNhYRCS6MKYEEw08Rnxfs0NRPgIal7u4TrdyAa/Azjoq0/yS00Y172mA0Iv6zce2VdV6SeG4w0fMCCSyXKCzdV2FX7p9m1XjviCXG+W34jEY4IHhy/JqHfWki+nNpaSnjgbECIV0Ja/zfcmGoDQzahkGmyWVo9gpWGnIlWNaGeaWYo5DeKxhq+1vrvDpXywy51qM9n5Kxi7GSSdlhtzViqEoK3Y6KkZtgIsoQ9AttrTNpGO5u8qf/5b/h//5//j+wUBXXt9c5ev6UDz5+jzYt/uavv2FZO2Ux3UEhlFsxaYxr96o12jj19vX7N8i15vT8EtHK+ZPf+3OKiwv+8YuX1HnXFdjKBPdvX6NcLrECeu02B89eMF7vMdwYog5OKKuSVqvFvTs3ube/zexqRLmco42m3+/RWRPcvLlJK884Oz3n0aOX/MdPHzPPB/T6Q2SWoTCczefs3ryJUjm2JmJtWr0uG5u7XJ0cUxY1wizor21Sl5rJaEwtlmyYc+blJXW+h7QV5fSSq8mI2hpEp8/O/j0yoIjr7egrx7JWnaOvnnF5fszF+SWTcswnv/cd7ty8x7KA2WzJwy+f8PLimNc+2OPGrdv0Nveo6zbr/U3WumtgtGscM5lyenHOxekZlycnbGx0+eR3/oj5UcFfPv6U3esbFJMF3xw94cmzp2xf3+S733uD2/dv083XKYqaoq4x7RiE+idfvxlQJ2w8pIHwrXUNQLpKUwGFlp7JeAtGQC41XaXpZxrlrblpZZiiKLRa6RkerB2LI/7Qv9kx5G+jWi0uPzz3VqRDxVr6maWTGYxwKVXawqgUbCwdE2pbjVICKZR3abp4c1k7N3rtkF3Rs6DrkCLnjoGz4kEKB9kyHpUWezjHMQeXdygKGywph04VEQnoDry1jYYs1qd7GbBoj4b38WTh+pQHjAM4yz0oHrV2JRVdipwDzQEuRo+ltq6GgBVgtXKEa6EtDFnuLW4jyJShLzS1VwBy5RhbW1lamfU58dZ1gPO4BGMEypfQlbjmN2stQ0dK5rXgqoSlB9OFNKxwfpKg97JFJHtshQ6jFyeBx0wQEsHK8vCooPCFbmemYZ1HieYBoTG2LoInKNGktgnJHmOrkWp9DFg0Lb5vW4fhoUF4hLFkXli1pCuJa7ygltaipCEXgrbU9FTt9xrmOveZHqms8atpbnFNaVjcgojED6UKRMOSDHga5/0I4sRGwR9FvBfM4YkR3NZQzmIBKD+XoEWG74e9jYqP/9za5HGQcY/iUUnrnwbk1s/vNEIwzHz+snDVJJfaNSMSIvRXSLUQXE0KhyStG7OS0pKHlFIAL9jXW5pcOI9Y5DvKkKmGde01wzYu+dJagzQOE1LUkoXvk+B4haUyiplpM8xn5JWmQDIqc9Qgp8sCJdaoGx6SuJekctxBBaot1EJy872P+O5HP+LHv/oPLJcL9teHbA23+fSnX/D50yOf4krKzsE68KqAyDQAayxZJtnZGDI5PmJ8dcYHP/gEXVZ8/c1THp6OIcvptHO2NtZY7/UoigVkksFan/39XabzKZfGtZHd2tzg7PKMN995g5v7O7ycL6iLgk63hTUl13d26eZtzs+u+NWXj/jm+TnSCjrtHKNyMulKy1ZY9u/cc7n4JhXTEkIgVI5eLjk6m3L/9gZSK2bzMScnhwyur5GZJZSX1GqTXJdcHh8yXszRtmawc41etwdWo630TaXc+W/Zmn51TjG6YDkeg57z3U/eZ+faXWhtUV6dMBrPOR2N0BLuvXGP3c1rVOMltpez1u2ArhmNRpxenlLO5zz85hlaVrz/vTfZGm5hZc7Tg0MMkOdwfnhBOZmzNsx57/23Wc8HZK0W1bJiMV8yLhW21yVLbqxvvX5ry1cRc6ed9tySmrXM0Mq0/9xGxoFnhlmwRqTrHV4bES0QUVm0VhEYZwkgJPe7xqVAJac08aAFos6xtIU7bJ3cAbcy6dDfGk1bCoRyhVLKwtBrSaRypFxbMFUQBqC1RlpLGwGZq7MdLADTaMdqtLcFLBFcFBiQxcZ8aKyzCLR1zQmCI9yG+Lafs8vgsDEWbmyaqdEhRu6lB8nV7PLeA/MxXsDimkF4Kz6UuI1WuldkNO45SrgK7CHGagRoXyHOeQxA4JqN1FaQo/3tREx1CB4LrKsfoIJgkIaW39NKWIQULI1DmpbGM9IVc8sLVpsYbEPXSQIyWC3ExyJIHcqDu93VTbeE/Ofgtm6aqMI23O6k9DIngLy49wIxggz9iFLsN1mSUUENcGibMCJOIDWYEEGwOG9IR9VeeRRYq8iUpa0Muf97W9XUVtDNaoSwzOuscUbcAXYI79CfoRH+IFnOQThm+Jx8wao7Oghi0v4nl3kDuNcQuhbRUMYSOC0sjBZJqIeWrWmvgt/G7WCwQBHp3K+E4PxOSGC97c6+EYL9nmFZaPJcstVz66YNzEo4myvGOkvZHgKEX9eWMhRGOuPEBNXG8xgf8lLCh6OU4zHdTNOWOlWqE83wh09zlc7DJny9ilxrZnVOLQSZDUWw8KBjycE05zsDTXexpKDFwvZYlJbt9pLjhUHjFHElrM8DceprEva+74QRFJVglrf47h//C569+BKrcm7eu8mXn33Os6Njrm0OOB1NwJq4np56PABYovIWUjpq7a/1eOv+NVotw4ff/wQhFMcvDvjJLx4xMYp+u43IBA/u3eL08IDlVZerg0OOry7pbm2RVTXaaPZ3NlguZpyPzukPusyLOXkf2jmcPzmB+g5v7L3G0fNDvnr0lNlkwQ+/9x5d2+b/96tDjouSTLiqe1t717hz9w3QrptmMMAqCzfuvsYvf/Hvse0+7cFtdFmyOD1F9RXbWzu0RAfmV9CuMbMJR8+eun4fBvrb1+jIFqUOoTNnOigsPZboq5fMxpeY3PDOG28x3N7HmJxKG+aTgp///Es+O3hJb2ON4XofKQw2y+gNd9C1YDodc3F+xuGLl7R7kruv7XP7/j1aImMxXXI1nnF6ec7V4orNZZe+zLjzxg1uXL/G5mAbpQXFrGA8mTCb18y7e/TzLq3Wf2b5WQHeonCMLpOGjbym42uOS2FQ0jNF6/KeLSFty8QuaMK6Mqo95fqbV7jCKZn0/cKlIfPWz8IKzosWVZ0l5hh+BhStt5Yy6bT8gLwO6US5gq4ytIRrsJIcfdLlcwf2ZyEXrvtRM1YY5JhSgdG5/uIB0BNAU8moC8zIptQbbyE4GW2x3mRyrswg4H0BmZDiEoS2dZ4Ca5O1E4VL+M0G5L1TAiJAzwQh70SjRsa69eHboVFKKLbjqjFZWlhQgkK4ojPB+qoMoIXfX1fC1m+Ht95MXDcsrjOewrvWJevtGiVgXOJqv5PAYElmr8YWg5ki0pto/br9saTGQkHhStQSlEFLGEf4F3AfEArcRPEV7+leCdmdmL+0pJBS3P8A6vOqgF9rCYimZyZ+SXgL0RDbxkpJC00mXUvboOgufSGhTBraOE/JwqfoOE+aE4ChPkDDqAV8elzj2UkJCgpJmENSCuJnthk2SYpsIMimCm6S7pSe7xXTGL/3X7Te0rXeC5FUBSJQNjwxgOkyAW1l6GSamwPtUcKCdi4QA4uSGiF8TrJxGJeBseiiZqEzj8lxa5VJl8FRakllvg2wq7WvXOgWwSlfTmX3k3OtkkPNq4Cl0dbGgk/aOKGhBHSVM4ozKekqgxSa2ghKozD0KOtD1tWSiR5S6ZxJndFRczKhXZ8E4ep0tLwgd+WVIReJl2XSegC0pb+7xw9/9Odc2yg5e3nEYj7m4w/f4vjoH5FCoIWrFSFc6U3CXYQQLtzoGexwe8j+Zo+1NYWQGScvD/j0sy/56sUhheozKmf0O13+/q//ng+/+x6ZsNy5e5vZZMRP/uEn7N6+wV63RzuTSKu5f+8ut29eh/mc2bxEtjrce+s1Pnj9LuPDEw6ev2RjfY1/+V/+K8rRhL/6h8+5WtbYLAMlECX0Bpt08j5VbZwhI0BK6cpNS4nSGi0z1jdus7j8mslohFiTtNs9TFVTmSXCGianR0znI3TtME6d4Q6ZUFhhqIWhFo5q29LQLZbU0wtAc++dN9gd7lFXmqosmI8X/OTHn/HZkyOmVc3m1jrDTpdyWWK3t9FWsbwacXZ+zHQ5YevaBjdv3KCtciwZVVmznBWcHV/w6Mlz5uUcWRvuv36Hezdv0ct76MIwr2rKxYJyWTExLda2bpPJdqwu+k+9fmueu/ICVQpBRxrfDtW5rzKBby2YDmOAqYUYnbLGpYdYhwaTmaYShko792lPadqZYxi1tZT+cyEa4DyCZRBSsUxkoKV2f82EA8W1laGlXAx4kBk6Leld084tLoUDuxkhMVYDMqLKnXdPRCMvwPcM7nCq4NuDKEzxhyLUinfXB8ErojIRBQMeXOeFsPaCPyoBzvyPKPjIPES4T7JQITH0GqdJGeOuN8YzemEQnoEZgtUs4jMElhxXR9fiXHZtVZMLl94W3MWlESid7DYlHEOJOq5N9w752FI4JteRgiqr6RiB9dXo8OA+vKJmvdIjrEfeE8yjsP/iW+uLeFVwSILrOPbk8msYIIPuHoJoaQpfrlc4b4RtCMlgoenG8xFJaXC1frxF21Q8wlnwmAlBmF8QYUlBCcAtiXH1BXDZBbVRSFxXPiGc8iuFIVc1BknoHWyE8JkHAiEa6Zd+/jH+HuotE+LdCT0R1vBV9Si5x0XUVps55EIErEMAHyaaNOJVqG0S4QnMmASoAjrSV0/E5Z8jBR2p2fIGxVoL2rml27JkiqhkBkUqqXDOtd7PDR3l8C5GCJbaMqkyZlpSRovd7U0uHL/QFiotmId+01ZRastCOtAo+FRZXOMjgctmCIq1ax/tbuz2T9BRmp6ycV+MP3uV1hgj0bLNVj7h1GxRo5jbHrdal3TmBUYq2kLTkYa2cmFOrDNgWr4nRKji6DxLbn/f/N7vIk7/kfOzJ7z7/lscPz/j2cERWlcu7Uv6/fdFNqT0RoDfK2Ms7791i0E3Z73fY3R6wcMvHnNyNeG/+4sf8n/7919wcnXJ9b093rp/m7cfvE5XSV6en/Hg/Td4cXLCP/zNP3D9/m3euHmLXrfD+o2bdLtDFvMSlbUR1rC50WNvY43Dz7/g9luv8fpbbzM9veLzx0fojTsU+gyZSZQVLKuC3Vt3yFXbgZy94qmNwUjBxrWbdNprVIs5qIz5eMFkPuHGrZvIrM3k9JwZmvbmjOn5EaWuKa2lzATt9V2EkF6Jdl0+kc5DJMsxRXHJ9q0tdnZuUC8FS60Zjyc8/OIFLy6OUJlifW3I5vo6g6zFbDpnbVMyG40YTa6YFjNanZydvV2GmzuUowV1XVDOZ4wuLjl6fsqT4yO2bq/zp3/yB+yvb9FttdGFZnR5iZGG5bJkKVrk1x+Qd7cQSpGFtp3/xOs3CvdBXnkCcoJDSYtSlsxrkq5JWGLCCQAWypMKX9TJoqWNAjITSSAoF7J3oDsrXZzMJrBLYKXuEIGSGiUSqKqbu+s60tLLLK3caeZ5Bq1MoDLHPDSCWjvlJBeux5P0ADvrY/01FqN1gx0lwW2tc2cGwm++jG8YE14xxS2mwHkPiA0AOCfQkyC2URgHAW+C7zoIeC8cgp7tLE/HSDXOynfPdNaiCwUQU7i8pHcraVNUNgj84KINHgkhDBl+/7yQD+l/IQPAWCIzia5dzyikEA5JL1xufltBqVwtfBPaTRLcs03XNyASCM2NKVmVrt68RdjgnCSajNI27VS/V8Jb2raJ3G5anasCv4mTcOvurkvFU5JYTLpeUjEiUM3vWWDowitE4brMC3YlPDhOWIyQ3iKGTLj2tgInvEsTENwGJQwtn6GhTdZowhIcrQ570HBsBNWkQUtBKfFVDz0YJHingtXcjN8LEXajIUxFygSIjt7IEtJaBiNBeJqNSoQQ5MKy3a5Yb2vKGkZlRmklLWnY7lZstnVsY9zKpDvXAoSUK14up8S4s6qUoStFpG2L5HIuGBmJ9tUQhfDKioC9vmaro1HWUNZwtZQuJl4rhLR0ZA3GUgmnMrl56ngmhTVI21A2BQjpPDSZhBbeSrYiVr2sPdh4aTusqRlbrRkL06Gsc1Res53PUCKnI2tyZbxXx52NTLr0WKd8hkycpOZiBefnJ1y7dZNyWfDy+JLRUiNbbddH3O+q8zK6jmnaGIRwPqGyMty5tUev3WI2WfLo4VMKKv6Lf/GH1Odzrq5GtPpd3v34A3bWOvTWWswPT/jmJ3/D7v273HnrAbNK89d//1OuzkZsDta4efsmmQFrBEVpqITk7Qc3uTw64Mbrt7l+8yZnLw74+vEh5vr7zI+mVNrSFRJdV8zLgq1rN92+G68oGxtEDqrdJ+/2UUYzLzXVeAEtxXC4hZnN0Ms5dTGmP3rIdHSM1s76bq31Wd+66ZRm4TBDVrsy2UurEIWmu9ZlZ3+AriyLy0vODg75+S+/5tHRGW+9e4e9SYt/fHhAv5/TNoarUtOjxXw25fz0lLWtNe7evUsv61LPF2i9oKwqFsslZVEiq5plXfODP/gu13d36coWdVUzmU6ZFROWk4qnz045WRZ855+/zprwGUsNT+Orr98o3NfzEqGSAFICWhm0lIkNVl61poTFtT+Nz3RKgPJgMJAIYcmljojtyjow16TKmFWZ6+mNT2+LBBtCAY7Fai/eW8KBWnotSzeDPHdMMFdOcGcqWGCOmRlrnOLh4/LKG0E1iXk3mUSwxCyW2pgYgw8Wgg3cy4oodr2McwzXBuCZF+LarZXx5WlBYDzA5VVBa8Lxs0F+ifhMGwW9K1+LDd81UaiHcYZObPH4CyfEAkNw1/jYZ2TRgUkL3zkvRHSdoK+sc2dlMvzdIfkDczcyhEoEhVXMjWTh897bypBZyVI7eqDxTMf7RSqaYkOVruDVAIWM6+9lRRTYHjDhrrAJIBlizqk9bQDk+fUQjeyFpK966msqc2JFaIarYlQ6CHSb3PoOcJmqq4ngx8W52yWW2og4vyzSuqMFhcvBjwBLXPlfC74Sn4jGdSigE3ovaCFX5iKQ0dUe8gvc7zKunwqC3xJTUANuJ8TZQ2phPDHeKxA2QzRCSk31rJlCKIRACcFaXrPZqx1oU0FblZRG0s4M3ZZLbc0VZJmzWJWnOVe4Rvi00OQzDPcOzwrFq9ZakKuSZSlYaN82WECmJLv9im7uPIPWQL9tqLSmrJwnxfrcVW3xDaTSioYa8tJnjpiwNMLGrA8pvFLlC2K5CpWCmjaXi5zX1yv647k3RpRDnas5pei5TBRpPOTFr6twPAyPlXDrnZRgrGVnZ4eWmvOTL37F0cWl77LoEdbWgHEFUAwgjXbeN9/Wea3XZrPfwlQ1B0+fsyin/OGf/BBZSv7q+ROGe3tsbwzJbYFFsLO5gWwprH6PqTb88uffoKXg/Q/eZzKe0FsfcuPWDWZlSY3k+Picg+NzvlPfYHd7g71re1ydXPLl10/4u0fHfP/BH/LNFz/DWCeA67JgMltw/dZdh4VZMVjcuqt2h/WNLY4uzqik4nJkWL85oNXpsTy55OJqRH+zxUbxgr6dcaw1VtfItW1obTCr2x5IJ9Gx2qZBCsXNnR3qsuRics7o8Jgnjx+js4r/+l/9Dtu9DT799AhJTVVMOT87YnDrAcW8oDIV+7evs7+zRyvPXdi2rFguFsxGC756csD2Vot5UfHWh6/z4OYtMisp5gXT2ZyHj19QyiXLixIrDLvrQ3JTIaVwclavMKKV128U7lnmY7JeWinh0cMiWXjh1k5A+EPrGUDQ9BEBMCe8S8oditqC1s75bayrdOaEQ7AOGpqoB+EY66yNDrDR0gw7GitczAX/TOkTwo3wDVy08fFDF1IIqFxwxVQqY6iNiW41pxY6tUUK6VLQpIjWQXKfJ2YSBIP1DM76e4dcee3hwOZblrtNmndwcQZhHe/uLXmHwonPC2lzwVPgrHIZY4BB5ITiMuFfU8tP2n6yo21kwEnKSR/7DBMNoQqLIPfCK9hmRkvKSjIuBdMKFrXzxmAcKMghjJ0yURqcxhxOaNQKw7OTbR+6syFCu1O/RzjOGVyNweo3McQSGD9RGQi2bKgTHugshFAi446fexqP6+FR+1EZaF6Vhh/UNCkEmY+AG+EKj7SlQTo0h3evJ0e2AVpohNQoXIthZ3BJ57K2kmBB117YOk0eQgnnMBrpz08IhQTaiGcrrbg/azJSQrP8aoQXejrFW7FuS7yCFtJBvDAT1heFiqubVDkjIBeGfq4dYEw64d5SoGpDpoQHy/pujXFGzfCVx634cIpLhTQxmyApa5ZuG9rGMmhZV8XNuKZS7czQ6zi+YTwoVSoX486k9Z0LQxjNA9A8/1vBAWEJbW+jOSFYSXWscOWWsXgrPsPkA8rijH42QNsuSjjw6TBfUNra8TQRQknBdycaulTwpyfXv8ok7W6fR59/Rq+t+ODBHf7DX/3S7Z/xpcORCJkhrCZ4toQUCKm4c2ePWxt9xifHFPWC7/3eDxj2dvjZZz9nbNrcvnuLRTXny19+xve+9yGL5Rxbldy6cZ2zF0dsr/V49PQA3e7y3gcfsruzzvnBIWenF7x4ccjZ+QXrm2u8ee8GW8M2J8+PefzsiB9/+pCyt069KLg8P8Hk6bTeeu0Bw/WdWA11VXUUyFYHqzPaeY5RGWv7r9PpnWAqy3y6ZFrMuDtYp5UZhp0cYS3a1uzefw9tOhRaUVm1cnYUln7L0LGgx3OOXjzl9OyYrC/40Y9+wPXt25w/v+Lg4ILRZExnrU1lDb1eH1tXtDsd9vd36UpJsVhS2orpbE5Zar756gWfPfyCt96+Bbnh9mvX2FkbMBtPmU7mHL485OGLp2zubXDz9h4b61vIfI2i3UNrizH6P99yD8TqFE6n0kpvQTVjk+CEVuIWNjKa2nf7coLTMRhtoDb4uCLR/RfifCkuTGQI+DG4bqUGBbQz6OQG5dt5pbQI922JA7jUHuSSSSATCK1pCUkorWlCvCyg1D3zkd7qSWA0G4FsTsYFIjDJFe8Zr3O/u/rNRgeXuRPw1nsFrPV91vEC3+IsbxplYUkGkjUhbh/c6SKOx713wjHgBACHdYgHIK1qqpLmmaYv3ZmMUoErkh2sfW8TijBvp9k6r4R7hgMvSkojGJeSy6Wi0C7HveUFUIjZKgRWePUtCIuGQJc+9p7AXQ3yInUOs36MQoZ6CauZnw4ot+qOJwgqG6yoRGXN2uaBdSSRHYS9Axq6mHm4Y/i+VwKawtDP24FGnfDLpUYKTWUltc1ikRrpaUoCRtW0ZPiOUygyP5q5VZRWxbmEwihB0XAphyk3PQgaaYkZBs01ckpQisM3Rb8Ia2IFoZdDSCLEKyaRZFKwJCyjY7xhFg2lJ5x9hEem41zYmXRet5YyZGr1PrUPZQWFP7xs3OEEYJTWe4CCgPeC2AhBR0IbD+jNBEpKB/DzvED6syw8iC3333Oew1Q6OoA1RQKOxDMUgL/gizY5go0gZSUsbVVTGqf2tVkgxACLQMseuZ7RlhVa5ISS36YhxI0NCm9Yi1RcV+qCo6dfQ2758M33+fKL5yCU4xEB+WwMNlS/8gElITNa7Zw//IMPGAg4mM548N67bG7ucfj1I55cjnj3o+8z/6ufoFSbP/njf8n+9oBiMWdOTd3f4PbH++zdvs7bb73Gz798yswIJqMx3U6b87NLTo5PKHTFH334ATfXWpwdn/HlN884PBnxvY/fpDPYZ1qW5Gs9VOZSEUfTEds7byFV1ym5tnHKPYO0MmO4e53jZy+5nM24fu89ugvJcjJidHbK+rUN1noDlO2Qq7HDKOUdept3qU0r8UpP49JCV1Rs2HNMMWdyecHV+TFZR/L+d99l7/p9ioVhPK94fnzKopiz1uuxu7PN7tYeWXfI5nCINJZKV1RFweHxMZWtOHp+wdPTA65d38MWkrPRjPudPeaTCVVlODs8Y76csbvR596961zbuU1ZwEILVJZjLB6z0USmrb5+o3DXjThuOK7h8Ae/nCYJOUFqgWqB0ggWtfTWeQKOaU+Y2uCtFune2+AqDqTWEEfWHc5hpunktUPKSydQM39wgzvcGO2iYkpEVL31VnNdu7x4LUPcmsYBCbnpImnjwo83FLUJYsAmUJ2bj7f6DbEUrTUp9zwIyeAyx/+0JrjyUxlcJ9w9JDHG7SUBGR0OsfFEbr3VoK30mpwXSzayu7hvzkp2JpUUKUbtE5+cdyOqRolZOKCT6yBuLJRWoU2AzTtGlUtLZSWTUjKtJKVW0WIrjBcHwpL7qnYhvzhYeE2J01Q9gvBxf3BrIgEhHWAq927StnDFjASWWgiOFm2MkVFJDWZcsHYBH0ZKbmYhSGVR/fhifXrbENhe63OucOPT4KKKkmjL07GSDWCehRrF0uYOdOm7UGk8iNHfo9aS0ioyYcjRrqMdUNiMGulirtYrQsLVl6i0a4lr4soH2eZX0q91QKWbpqUZFHaROtEHBScslvTrkRoZ4TMM3HsZn0fjN39lQ7AHgZ1JS0dpWj6/XIqQa+7W2liPXDcWtPAhvVAL3Z9dEVSoZMtZP95o2QRXG5ZcBCyG4w0IqE3IWnBrJEVSF5Ty+BKMxw6QFPPA+2xa60jBFlzGu3u+8V416T05uTIRH1PJHi2zdEJcwFJnbCpQukILFXbI76S3/Em4naDFhTFXiwkq07z3+js8/uop//irJ4wnI7RUiNxVB3ANY4xXsGL8lQev3eQ79/aYTsZcv3eHtXaXl0+e8Hc//pSXRnJTl3zy+x8y3NkCnynS7gmYTjl89pTjVot+r8Pw7g3+4PYtjh6f8NOvH/H11wecnZ5Slgt29nf43Q9fY3F4zNePn7KQLf71v/mXFBdTPr20VEvnsRDWUCyWaCu4/eZ3wOauUqMFD130Bgcooejv3KL8/N8xX87h5g3q5TGTySGs91nb2KS/fZvF+QirLNiabLBJq7vt9kk4+sq88mqBLgVtM2F6ecnZ6Rmin/PBxx+xsbFPtZQs53MOnp1weHlJq9fivY/f5v7NO2TdHsPdbVRlqaslxXLBdDplfDnm8OSMo/NTPvj+O9zevsVXP3nCxeI5bwr48rOHnMynDIc93n33HludDVTeopV3KWYLlrVF0CbUjghpi//U6zcK98pCQ+WMzUGk74/uCExENdVZSS41DeNiyRKDUk5JqKwTEja636G2ksomgITx/0Q4/UCMZ1tBaaHrD6WU3uYKAK1gZWpnK0gsSji0vMjcAVTSKa7u+XblRKTPgoAl1myPS+jdg9a69DgXL7cpBm4delP7srXRhW+CUpBck0GgG+N/WtI8bLAoHfN331OEFPagKASO4tqiSgwyuaUDTwastF4zDczI31dYMrQTKCJ4ARz7VQYQsqFoOYVvbhRLrai09Bq0IJOajjLUVjCrlG/hGlhtw8LySlyylROjT/sQQgDCW2xNxu3+mwvDeq7Z6GjWck1XWbLcNbTRRnBZSc4KQ+lFrCQgItw9crzAk8GWdpI9AflsfJpzgAvvYUr1+vHKn/XrKBrCXeE9VZ5mtJOakc60cV3xBMKXNHU3FB58lfmCKQ774TEsHkylhGBDOgQ5uFRGKSDLaiZli1GVr2QbJGZIXENBqItvY2Eh64VOrM/eWJewjw48FqzGBOCLCid4hh8EkYjKkozPd2vaVprddsEw17SUc4GnJQshKmclGxvOs1eEvZKiSMq5lAH86jYmZrTY4IQMdAABAABJREFU1T1zZ61hYVvAmuRZEBarBMJ4pcJ65Vemc+f1eH9f4e0dZ92ntRMBdep5mFsIpZzqbKzAancO51XOXmtBp6qoRE6pc6zSKAoEHT/4Bpw9jCMoFTbE3d1G11XFzZt3uDw+4tGTl7z3ye/y1VcveHr8Eqs1QmXITDn0vNGE1tQgWBu0YD6i0iW93ibj0xOePztkMpvznbfu027DfLHg9MkjpFIujCEVuRBkvQ7lZMLxZILe2CJD0O5l6MtLTk6OmE3nVMawd2OTDjWnF5fs729z9513qBcFP/vmJfs//K/46V/+PYtiiWo5Ad/q9hju3qIyAoyKJy2FIKXrDy9b9HsDZpdn6LyHKNqMzkaIvmZ9e4tqWTK7HHMxnbHW61MM91CtNYcnk0FZtd5ggV41o7g8YnJ5TikK3v7gPbb2blMvLLPJlKPjM754fsjFYsb+jW32r1+nt32D1nCbzEqqYs5kNmM6vWK5XFDYipt3d3n/uw8Yrm8xvyiZFQVGGupaU16NKM2C177zOi3Rod3tUS8Ns2LKbFlQdzboqBYgXcrxf24qnPEpS4FQtXXFM4QxnhEGqyjSlBMMkTlYX5vcxcWEUFTGHbraqAj0skbERhga0WDBIh70YCcsjKKtLW1Z+bzVBERK2rLr5ma8FaJwMfMg8IMmHZDBQduVQqb4rPXWuPHj99pIiKkba5yFbpzr35oUhw6fmQSBd0LfJgvZWcBeiAelxzNhpwtEdgtWuopwJvQXJyo8kH6WRmKsc6+7LlvCe1ZwTCTMEwdMzIRAoL3VaaLV7+oBSK/AOcES8BaVEcyqnIXOMNbGtq61VdRGUlkXitFRzAVLraHUiPSXSJqN2Dcrgp14n6iAAcPccGOtZK1taOeCzAORhJCuWl/liDI0W2mOxQJrytCWNRbDwkgWde6tvVAmVRIszqQSBYGQMBzO3HeEFHophPmGeThLzz/frgoEK0LFOUsmDP3MjSsTdaJ9K8B7J4QAY6sYow7WNEhqAFsiREhzdKNdasnU5ITWyXiUddL5m2qWB8sSwgPh5DXEvbDxb07omagQ2KicpbBKSCkUXgkNa9ZWmnZuUQqEdFazsF5ZDuAwi/cXae9JC8iQlHKppIxdE2vrPELaC/ag/zZZYCoT7ctrB7CvSaRnvUxOz3Nxb+PPtW54gSLhQBKSQqIQCBlSLZNy4y539QtyFdLnupj6jF5eu0qEouPKZ+spdDcSiMzfIe5HPBOeOHB0v765zuL4S755+pQ333uD7rU3+G/+u/8t/8P/8X/PZbnASgnGZR4pm8U7CiW5sdGnjWFrb59yuuDJs0Mm8yl/+i/+AD03nE2mtKTE6Jrp6QWPXr7k2ckFG+tt9nf3KaZLnp6esX9zj97aOkILllbQauW0NgdcnF/y5q1d5qenbNza486Nm4yupnz98IT6xrt0+jcYXV2iMklLSmo0ot2nv34dbZxdbYNhGcG1ToHube1TLeHy/IhaSbLOFsdnE27vbiF1TT27YjK6ZGszp6tyqvWbdFodlHUgVaxLc3QhREs2PaeYnqGV4Y0P3+H69QcUs4Llcs7V8RlfP7/i5bjCCMn65pB+b0id5XRkznIxZz654uzynLPzC4yo2d3f4Patu1BalouC5WzOycklo/GExw8f88btW7z3+ne4vXebsqyoa0ula2bTgvNpxea1m/Q7PaxRDqvFr3/9FstdYoxBkfkDKajjwfLoaiGjCyu6uEMcyt8ntE+1xoBVLLSiNM7VlPu4k7Gu/rxzYwXVwMYWji7lygFlFrWkrRSdGC/3zCEQuE3uQhO0Z39o3QFOsfPA8mX4qj997qeJhSqCZm59nFmbVDhGa+PQ7xbvig/xd69shHEGJhDu5bV31zbVM37rLOWApg0WvrPgBZXJvAvZiZ3gfHVV8cBY5awa4SoIauNSemo/01wYcqE9s3JkbGy4g/QV5ATWKj82xzikBCUMpXGd4BxWwFv1VmANVCKEAJKSEtb4Www2Km5ufkTrMYR1vEhufDGMY6gM1zoVay1LnkuyTCB9TlPowCcR5DIcWKdkVl6JzCT0s4qOqjAIqsrl+EaXiLfe3O8JVBfmoZozECGM0bRw3f4069eH7waAVxDmShh6yiCFoSM1udQg6oh/gIBlCALSYqWIfBy/3qFlcVsa8nzp6NIK3w43Z1FlXqkLJ0s00tKtd2s2rVBieC2pkOHsBzAihEqATgmRka4jqXtwrEgTQPigQemVe4ELXzVBicFYwI+jSTuxX4IUKOnW0YXP/Ej9OXTnxkbrLnga3H5YpJBOsfCfmQbNBiW+6W4XNmEqRDiDNq1OzCeRrj5IqEZH45kN1Q9hrVdcnIBFKHK7RKkuVrcoSkFVjZDdmz47ydOXlQRWFwNuQfgL4aqjzS958eQJ91+7i1ID5qLPzfce8N53fpf/+S//X9Dt+Nx2n8Nh3TnpdNtcu77Btdu3mV9NODs+YXR1yXsfvcXe1hZfjo7Yun0TXdZ0BjVWKN7otfi9H/2Q9V4HqpLpZM723/+Yf/z8ITMruHbvHiJrU85LLkeXbF/f59a1XW5f79Pv9bi6GPHk6RH/8NURb/xX/5Lp5ZTJ1SVZuwWmZjlf0lnfp99fRwgHeBPSgyZxKc0Ch7uh1aEoSsTVGUJUyLVNtNhAqzZaS5aTKbNyztbtLQZdxVVnl76SZNSuqJQFjfKgR4soJmhTsHl9m42tPerSsJhNmVyM+PLhUw7njhNsbA3Zu7ZFv92hNpnr5HZ1xeHTx5zPr1jf3+SN196iIzKEkVS1pZiXXF1O+PLxE0yr5Matfd546w22N7adAlPWLBYVk+mCidb0b71Jb23XnUDpwdkRXfXt128U7qUWaOsKXAoP1pLCIqR1ZS+Fo/6m9hD6Q0tpyUhutIC611jvlg0H1osVCRpDZg1auNhU0PwVrllDFk4XFoym8jVVDU6QB01b4fpIKz8eH0pCCCd6citir3RnZbiDGJmZTZY5NkQmrHeh6Yh4N9FCt77LkhPivgV8ZPLh+dH9a0XUupxrzSkktRVY0+j2RCrA6bwTzhFofPy6MhkC6ytZEeN/LoUjc+kcRmKtU8VSpgORybq7yhgPNIjYvKS2MgooZV1BDm0ldYxj4vKkhYNLrY41vRxLE803af/9xYntuQEGQR+v9QKxJzVbnYpOx/jwihOqxgaXLFhraEvLtY72eeTutTSula1F0M20V0otfWNY6ECXwbMQwHYpzi6E8TSZ8trD2JuaoQCQrnmSkAELEYSIAwh1ZE1X1uTS53B7/EMoZqNiEwL8PSUBIufi8n5FI61Zb22a+N3QwcxQ09EOvBegljYM2TrvDl4IN9c6RLJFY46hEBMEJT7Yr9Z5BPyyBO9M9OGJBmEIl07WEr6GBq6MsitgZWnl0iHsQ5aJZ95BSZI4oS5lsJIhhEss3nOmGzvk4/IOce6VYY/AD9zLhuUO84vxL+cRiIWTcAYNuF4NQWF3eosD5rl7+wJFwZgW8SpH2UL4Z3qvnpZY1UWWc2S+gZaCos4YXxwxWNcIpVbOCwR+1xTsfnzWcHX4hBt3r7M52OBn35ww2BoiWj1+98//az7923/LyWxE3hsgjI4KlgC6rYz7N64jtGJ2NWFpDL/zw4/p94YcvDjiamF4+sVjJuMrDp4f8PEPPuaj7/8OuqzpDdboqIyLkxM635f8/af/F04Wc4xStNf2AEFlLIvFnMH2Gmsbm1wdnfD06ILPPn/O0WjBx8Mtzr55wXQ6RvUyjNEsqiVvv/kuG50Opkp8RntlSiGiMr2xvU876zE7fYGplojhJht3PqAjD6iWJZPJFDXIWe/3MZ01rg+uUYtyJY1X4eLu1liK2Yi1jT57e5vYynB5cch0MuEnP/kVXx+d8OZ33qMarXE5zui0FMva0BcdJpeXTGcX9NY77Nx+i431ddp5B2rDYj5nuSxZTKZcHp1xMjrjT//17/O99z5ks9dHIVlOZ8zmE5AZy8mMz58f8f6td13HuoZSJ0L6zj/x+o3CfWGyRvwtuIgtQofD75jJSkjfE3EmDEpqct+LWhtBZaE0zs4JHd0QLvZojAfkCMis9oqDs7RcNTSTYmtena5qNx7tjSZjHYIbIej4nFklE/gqbF4d3Kh49GsDLxCEijEigd1IgDkbDrsNOeuemVjrFAZWrXaisA/CLdoF8a1uxNhj3/UoAOOVft1qhPDeDS9QZLAywp2toKxdDD7EpgRBgBg/LCeUBc7yDlacMA2ryXsMgvXhPndMXxPchO6z8N9gxUViCGMPptzKd5qQSa8CeEu+AYRu3Pf/z9l/NMmyJHm+2M/M3YNmRPLMk4eTy2nVLT5Npoc+PBkZYLB5GwjwafAdsMMG2ycCLMDkAQLMiMwMenq6p7urq25dfmjyzIjI4E7MDAszNfe8xZ50XLnnnIz08DA3ovpX1b+q+jznLLFh3fxclpWfc++29hUON1qOtrIhNuv3X2qgl3or2RMwNbmBJNzPBCUhsUcPPGmMUDSWTHaTB6Ci4a/xB6uTlDigMAmVkq5uiraq6KiSVHtiaKLqUIkvk9qYizgHHlQZQgjLpYifRCNFYoIKCijV5zVbMg3dpEQbIigwhDxepahz4+uVlDoI8oprqjQ6rp14yCKkAeUaHdxUPJsyTQIYrPMgdGUUPeMrgznnAjdE+fCyqr0kNiy399LV1RGgPjv1YILV3vC6aKVCy+TggZDjI2E15/PdcQ5nTTzzzdMa94YGX0RJvIq3qzXosA9dAxrKvqgd6gGsyH7XGctSMWgZFrZC6RYm6bK8GdM1JWnSivMvefUu+E8lM0IAhMYy2NlmmCZ8+9VXXF2XDN/1pMHh/Sf8q3/3v+X/8n/+P7LOV3EMnjCoeXzvgDubXSaTG/Jizf0nDxhs7XL28jWvL254cT7ju+MTnDPce/qYDz/8lN5gk0w5bq6vWGtF5Sx6Y4Os1WF2eUV1dsXu3Q22D/bZ2h1y7/4u94d9xueX/Po33/L68oa9nSGPPv6U+9u7/OfT/0jhStLS0M40KoG33n+ftnZYLSBORY6E9CXBOVqdFkVe0uq1qcoVqr9F/9GHZCtDPj9nuVjDTkbWG7KaKxyGRDsy5RtgoXzLboeXEclml/3WFm5dklvDzeU1f/v3v2ZqVvwv/tUP2esf8j+9/oY0SdBakXT6rNZrjKsYbm2z0evT7fXRxrFYTnFOUaxyJqMbbm5mTBcLnn30lF/8+FP6SQdrHcV6SVkWOGOZj2/49ptX2LYCU2CcCZ6Kpnnxu19/ULlXLqGu320booRYdlP8ViK7fdzRMzAzrTChi1hlPSO+EtZ02N/W6RAbl2YkrnFMpGGCIOBweAhK1Sm09Yq2RJFb706xTvumMqnxwkspWokJgMPfUxS7l4PqVvEJiYeHHePHGZSmCiwWR51nLm1XVRi/DUhYCG0mMPVvEcu82kTc7WLp+/t4RrsKplkTm2l81zDnoFQ2cKhr5ePdSTquR2TPy70CQPJAIkSNwzhlvC4I90SLk1UHC0/XhYScCOrmeolt03w/vKOakCZ8H4Q881q9A6iGZpffaOpDXItaD6x8Iw6HdORQ+OJFSqnAh/BM9UQ8TxAsJod2GlP66HHMmhA40fANS4xPlJyLo3ON2Q9rpKCtDWlIdVPaoZ3FhX3Z0uJ1SNDKoJSN32mVQ6nbLVjEo1JZRel8SGttfVJcqhyt4AXQhHih1cHKFnZHqK2ufT0JFeZSB6dwcCZHlS0eM4dENGVVBeL79TW3F6kWssEdbZ2Eu4Qcp4LC9qBibVPGBbSUpat9nQnfudErUSHVuhgG8/9OE+e9J6KgUUhFR9dkkdbshno+laufVIC2I/JncEKSDVDJufh5FUiEwX4Ii6MiL0KAlTRCkjltbOwazsqXhjH4xJc+yl6SUWHooLI+riwoiwXdziCAXhVIeyGlTuREkI3eW6Tp9/qcvvyCeb7kow/eowxZAOiUj//sv+Pv/vo/8tXzX3lZF9Kp+v0W/+JP32d+dkxOyp2jQzYGA65Pz/jmu5e8uM6ZF4r9nW0WqxXv/+Az2lmX9XTK3Kx9OHE5p6gKFjc3HBwdUn3zHa2DO3TbbdJWj/VqxD/9+XuUownffPWC89GYf/oXP2G/O+CVOmLQ67Fc3NDf6KETR1WsGewesnfngdcPSW0UKoIxpPz50M6RdlIePnrG8eVvuD5/yfazO7Q29yhHlvPRFatqxcOtPTRtKpuTBACtte91IsXGPFgydDsJqrKsVgsW8zW//vwLaFX893/6CzZ7m5y9vuHy8oS1WaM1lJWiXEyxLcO9h0/RpfdKu7LEVSXL9ZqirCjKipSC1XrF+z96m+3eBtVszUoZFtMFs9mUvKqoSsPTTx/Q39j3WQ6GICNun73f9fojteWb6ECswPC+CsjexSrewdJVUS5aqymt0I5q9rALJrJ1wsyuXYAeQuiId/0k1zm1znmWrycS1y5+45ECUuO5AMoqCQ0AfJpES/vKX5n2ClLGIG5xmSldww9iED4g7EiKCWMXoaJDvFGEhmsUk5FYvCim6KJzoahP/B4VY9Y6Wq+BEensLXXpx1TPUWXrnHHjZH1qIKUdGJeEtC9/J4lRJuFbm6QpFRBs4RJsoM2VOLRHYtHakz0SBXu8w+394+Lc3oYDAmAgRmaD8gXpNhiJaspbtZmmJjo1hJsOAl3qJvjyx863ynVe0fsv8OApyFVKqyP7OrakjYrlew8UrlNBqNvIDqwBaaosWSDE+QpzoJVvSJtpR6YrWroiU3UNfOv8GIQ5nzRAhA0Wuy9hogPY8uPOlQ83FElCilfeUvM8C2EorwRqWmCl/PfVu6fpgo8qyVdhC4q+XkuhFkrapP+N/7mGRpJ9QXNlRckj9Rp8Df11KAfrnM9i0BV1aE97678w3vuixOtmXHSzy/i8gla+5XE4e9IHBWdRLuy+EI5RUR7ZkFIW4vWueVZV9FihAlFQ+fOBuMOdnwEH0bNnVE22k1x7I2c6cmjquQJFpTuYypEmhb9X1iVp9VivJmwMj/zpcSIv/HpapHudT1TVyqJtztXZdyzXM9599xlXi5QsbWG1orKOZHOHf/1v/zec/R/+90zKmd9ZrRZP3rrPYceSz2/YffSMVqqZj6755qvveH1yTX9nn+07Ozz/5luOTy9ZLlZU1jDod7CLgspWmG4Hm+ekJJydnNHfHTLsd+i1Eza622w/HHAnUywurti7s8Of/NlPcAa+Ph6z8en7lIsli+mYNE1xNqdar7j77H167YH3pCjtydFBZCfh5OmwnolW9De3aE00Zr0g1ZClGfnK4YoC3W+xuXMHV8Ls+pqpecVG/w5aJd6oMGHlFehqSWYmLCdTLi/POTs9Jx2m/OSzT7h7/x3mF1POzt9wOZ2Qtg1bgza2KhlubdHv99DBmKiKitV8yWy+JM8Lfvl3X3G+vGG3BeOyZDtLWK1W5MsV63zNi29fU5Cze7DN3XuHdPtDoMuCxJc+V3KW/qBu/8PKvcmAFeT9PfUiEjGi1kCzQxjFFdLdzeN8HZSiAAHnartBuojJdpeysZYE40Ss+TH5AioKZWpLz5OUjE9vCgKxtD7dDvBpcXgegFahyllAv76PfCAMKRO4A14UaeXzUeVwSQUsJwy9KNZD5C8CBrHQ/SSahp+zWca2BjleCBulQv4yEfl79WpD1D0Q3lC1xRDXxoXc2SQuvkWyEDyjXYXfaulLreoe6LUAl9isd99G4e+kQ5Yo3Np1fHujqXrw4bAQ5kGe3At8EbBBtShixoLEU4VN7l3WPrXLF3xxntoeFLsOXiKZc1HSmtA1S0NlVCyFbML3pcoXhylVGFcQnEL8qHeli48m+b3R8xPe9lkI3iFbuSTkkQd2vVJ0dUVLF74YkwIXajyUKPEoe8Wuaw9L4fy9jEsjmE114K9Y5ZuNVDooDhWG7iikcqNzVCgqdOBHgBWxGMYfjm9YottATPZp8yXWe1x3ce1GAp2AkwjLw71v39GhWJiMynlPQ6J9YY7K+E6SpfFeL2OhuZ+dyJAoc1TkwISeIn4UFqz2nBon7zXGI5kq/t8uygOxkpEzGJW6gHMB07bh8SMqbs/X8L8XECDnx9+z5j4Qdq1VLVTWJTFrn/mQtuls7HNzdcbmwQeh+J+KcwA+3JBo66sfBjKzXS+YT6956+13GJ9fsWzdZb/dpTSKSvlqe4cf/JAf/vxf8J//6/+b0hR0e12ePdihRcneo4dsbO8xvzzn1cvXXM2n/OgnH9ByCX/7+Ql/9Te/Im+lDDYGpKZien1NN9WUxZp8nVMah0o17VbCgwd3ePzoPm5pWGl4++lD1ssJ+8+esLu9xWq+4uRihN17zNbefVYXI2xoZIVxOJ2wffchSZIh8XWlJPRRg8la1Cj2j+7x4htDfnOBpiJLFHlrg2lhuftgl1Rl5KsZi8tzOm1Ht3qMSe75YmMhFJtYi16OqG5OWI2uuLm+IO3Bpz/5lK3BEWVeMZ/lnJ6Pmc3nbG52GbS7pGnKzv4uPaep8gJjK+bTOeObCcvpkm++fsV4ccPu1ia2apFzTVsr5tMpk/Mbpus5lV3x9nsP2dncpdMbkrg2s5VBkVAa2UR/SK371x9W7hCqT8nBIN40/uzqyY18GQWgvdtaEVWBc7f7eTdrqIs16EGCVzXW1cUyjEtRwSUopDQXgi5KSdwRJFcbRx1DFfHrPCgoXBKeDSRVqVZnAElwH0rRCkeiTOiARYhPCr/cq1sRGLWB58IXiEfCBSATPCCutpVdeDJPfAvK1NVceFDe+pQ1aYQGrFM4nUQBIuV5oeF9CPZV0ysAnv8Qr3DUYYqAFWTdhLjiFXtQY2LpUm+z7yuAxmagPoYKcZ03X6KY5RKxMzU+xp4pF9ylkFeKbuJ8SlYSlJHylL7a5yOqOJQdVo6WDiApZHha6xXpTqckzS1Tk1EYjQ0t7nTIM5eccfEgRB9FBEX187swX86lfhxOWhGroLQ9GzdRJlZj9B6gsHuUuAbrGTNOszaprwfhdPR2+FKoGmW155E4OWdyriyVszGDwkbvUHgGVa9fZJKHeZcIvrwpQNM2iHdSESeuu/LPkjRWt7k3pIRqHR/285XbFOt8B7gqWKY6EGLFkhZFS3jP2Dq1TASRkFxFwEjXQ6wLDZCct3gbJKHomke8NEEZO7y7OigRSfvzHhsbz57UAZG7RODgZExhHW192uUqAUU+8ush96JU9LISUyqMyqCzT3H6S9bFinbS83I3TGoSgGTSBFnh9fDRU8rllK+/fE7r7Qc4pWMYRZOg+pv8/L//H/j1L/8ro/WIVrvDcNhna3uX/vYR63XB5dmIk9Nzfvazj+imXV6dLdCtPovZms1Hh+ztbtPKEszSew22tjYBzXg04fy7E3b3dymLBT/9J5/SneT8j//TX2H1Af1Om8Gwz3w04exywndXCz78+S9otTc4vfqCqir9TFlAZxzefUqWJKSe7BBBvhcZ/qSr4M2yFvYO75LpFqnNyXRJolu0tw4pT9p0Wj3WNxOW4zmrasnDboFZnbDI9nG2hbPON/wB1HpMuVown81oDTt88unHDAd3cKrNcjpjssypbEK+zukOttnf32N3uEVbJ957s7aMxyNGl1d89eIV/Z0Bh4/3+XjvHVJa/NVfPaez1Sa1jpevTljNVxw+2uOD958xHGyiXYt1sWa5WjDKNbrbjoWcvn9mf9frj7rloxwLUkAUZxRyjUOHEgpJ89A1UHv8lygQF2NTxGPhFZ+RT0RrAHApUlDFP1y9oWsiUvhcUD6SRkcQskaQuYwhHouGpAsDNOj4HToUPBUgkxCq8WkLrrb0fWeyUN7C1WQaLw68O9gX6alBEsiR98Lbz7EJc2kbcU9R7hoplWgRIkgIAzjvh0ycxSmDAXSwDuVlhYDTDKkglQPrea+o0bGI/NqCVd9DkDVHoF7LWhD5rRLWP+6LABKVQpz8sp0SBS0cw8xx0C9R2jJde1JQWxuyMHlV5bs4qYRGLjBhjYM4dWF2td8jPgqjsNZgraOdOPZ6DpVrRrnfjZ3EstuypNpxmSfMqyTWlY/uXGRv1D4Pr9w1tZXvwu7xc1o43xhJq5JEVUhlRec0xmnvJdKW0rlQklZTWf+3DQBLvDQWRaWSIORCgZk4s6GGuQou/Qj+iDHLeJbFYxE3Wf1zU3E3/6FwOC3eHM8V8EAqRpXBBYAYPiuEdLHs65+9py9Thkz5ErQQur0RwkyurgWRKlChfTM25J8TSHThoWT0seiOBacdKPM9UFqDFa/gQ8aLtUhqm3YNIBRBlAAD+b4mZ6UGvlId1HtoArggkJPDPAbkgQEK1adbjdAYlrZDsnmEPvk7Fosp6XAQgYOw8SXTQCHscUenk5Hkhm+//Y7toz02NruUxvkiV8r/r4HNB2/xp//i3/H/+n/8n7DGsLWzTX97l+VizWIy5uzigg8++4idnSOef/mCm+maLz//gmmZs4Xm5PiYjt1h2EnR1jAej7BWsZpO0Cmsy5K9wz0ePXlMdXzJsA2bXcXO9h7z6xuurib85rtTXq01P+j00c5w+uollbOkSUKVKEg09x48JEGDDo1+dF0GWEGsl2LCoibdHu3+kJvz11R2hdIpSbdHXmkK61hMxsxXOf39bfqdLebrCclgjUraJEoyUQzl/IZ8sSBPLU8+eI/Bzl1MrllORrz47gVXaoPvLmeUKdx/dMTB3ccMepsoa1mvVozHN4xHY0ZXI1odzeZGh3sP7tEiY3w2ZXJ+ybWecn6ekaYpjx4f8fTRIwadIbY0VKZkPV8xmq4odx6S6V7w7jlvIAmf6ve8/nARm6ZGF8tFwGo0tBouUBqMW0ek7PvNLtZz+KDyZTPl5eL/DfEUzEgpGBKXMwrZxqOJUlJi8angTvdfaVVNQImFYMIXRde2P4UxJl4rhgAKxNoIQMFLDY0iDQJAYvImMNNdHJoHEzq4tFUASLVj07eLDDWobT03ViX+2DuZXb/5jAqRciefV/E5CXMUrSSZp4ZAj2VHFfEe9aTUfGjV0MY1rIKaEd9cABWtKe8F8BnnleyFYEnV9AbvThdHulL+CTNt6SeOe72CXsvS6WhWBqwzOGviZ2xAJAbfspLwTLF2v78qcJfEivIpmu1Whk+BhE6mSBJoZQacpqMs213D1oYf53Dl+G4C80qHgiQq7pN6H6rGOvtrhJgoQNRXcXBBydb1HEqnyW0a4/3O+dj52qYUNglWnSeQpSoIM2q+iZxxAR0CluVkiqHqY/myWrKOsvL1mXBKQBy3wLdCkSIu4TqTwCnifq1rzxPqLciZkb1Rk4Gkjr8/1zq0MfUpqJUoRfzzlpUX3kmoO+8cWONQSeDZOKJyF0Ct8FkvUpES6/DFBP3zSP8LAUbO2lg3o7IKF8J4zilMA7jKPq23vsTb6xRFmTHhNHhvgxBYVVwP6QoQwztugwHXpFRUJOj2EEXGajqiN3wQUpBrwO9bZzeqLOJwxYLL8xMGOwP29u9y7AZol/nwZhiTUYoK+Ox//b/jwz/9Z1w//y988lhzfXpGYS3lfMpb7z5g5+g+Zy9e8/rklDu7m3xwOOA/KUW/1+Xekbfeuwqmx6/4+ssv2Xt8l42yYPziNa9OTnmw3eeLL77m4WDID3/4No93NpmNbji5mvHlN6+4ma04eO8zEpVRLpccv3lJYSpaGZiqYv/hE3Z299A2rD2+cJGcKYdC2zokhIPO1g6Za7FYLSnLNSVd8mJFt9vCLteslgXj8Yijp3dpJ31m8wW2mKF7myjlCz3pdcHNxRllteLh24/Z2T6kKhyL0YjZbMaLF+fYuztcn9+wsT3kvQ8+pN/fxxnHKi+YXF5zfnnOZDnl4Vt3+fRgn1bSJV8VzMZTJuMpuSnAlJDAO+895d7uIb1OD6ylKHLW6zWrVU5OSqu7AyQRyMVQ+D9Wuce4kgp6rNYbUWM50de1lqgVgxz+gE7D1iPeVA5vFAgiLUMYQNyMKihTGQP8TvQtJL+gDiMhy/kvCa5m+ax4CeRQyDO7qPxuPYNqWB5KXONRfaLjczkg8WVCcYT8OH+4lYqWuYMo6AlARDtHTLhV8lyOijTSGS06/m/QQYlwy6NRY1qFULZccw+EQxGbUIS/v6+uwVscBFPkNhTz9/l+xrdWlp6ytLQhUQbrNFPTInc6ECEbriQ5kOFmCbDfLtluV6TaMexYsoTgbvcFWhwSOgiwSEmWhR+jeCh8vQHnXbJ4olVpvbNZ+dwzeq0UMkuW+flU2vFoM6ebKdqtel9v9uCOqTiZphThECRhvgsnfAbZCQJeBVwFFrOygTvgD53SBuN8LYHcpjFt0f/pLfXc+TKyPnykPQDUFqVs5JFI/zYlaxzmQeCGhlg3IbJZXMOirpeyAZoVKBs8IXJG/H1rO1fF8y8/3tofyn2vYp+8X7NUdAR8Fq0thU1IjcU5E2LsGinglBs/vxmW1Ho/T6nBeN5iBLoucHH813mllyZQSZaME3Vbn3V/aQCD1gP5wiiU8vn2coZFzgi4/L5g9cBCQhqyAt7j57N7Qow/AikFJNRNuBS56bDb7tC1SzTbqKxN2t7ElkufHRQArAGc9V0rnfJprr5gYcLyZoJqZ9zZ3eerF9e4t35B5lKkqU9tpPgQZbb3mI82VqjT/8Dp6QntjU22hgM2t4bMri548/qMk1XFXrvFwyf7/OmP3mfR2+D4zUu2OwlVYZgtZ3zwk0/ptvsU0xnvfQwXN9ds39kiH4+YtzRPH+8xG094+fKML18e8+77TzjsDRnvv087abGYnHN9deGzSxTMF3M+fvdD0kAE9l4O1ZBFfs114Kdg/V7XaUqr02I8v2KxvGFzZ4fl+IK1sxSloRpfY7OS/nAAaUaVzzGhibgN8+OswVVrdu/usrm1z3q2pshvuDq94tWbM/7m+XP+9JN/QnfYp3/Q4s7hPTQZi9mU8XzCanYDieXtd59y5+AIkxvWqzWr5YLJ6IbL82teXZyx9/YOH3/0Pofbe2xuDMiXK5bLnMVqwWpV8OZ8Suv+W2TpFs4lv7Xrfr9q/6PKvfmDiodCpEitMMQF26jN3fDHivvXBleSHCqHZz/KUsmmi0BCxhCEhI2CxkXEL9aRa15HjeqaTW18zNjdyn91EfXWYEOulZ/j33IoGrMj70fyYUN0+FarEhH7/p+C6HX8jFdhnocuQCK0RojxMttgTIsCDw8C2KAIoI5ah2PQFMTxJZJdPAD1nPtrg+pWCqlbHYGczFPzeiVj9HUGssTXJzClwRREoIEMVwhz4aMpjp22YatraGVi/euooApVe2aacSe0ivskKig8OBSLvQqx2FRDlvh7Zhm+zadTVMahtKOT+XaZTvnYVoLDaks/UwxbllmhQZnoyq6MDjnYQbXL+PDfJQrH9x2P0w1OUaApbEphPVFO9qBxPqVRGATaiQr3n4uAJijHXmJoaciD5i6dorRJ3GPNyFzz7DRfqrE3ZH+rW4K0/u0tMBGnvD6HUXmo+n51dEfFtRHQDApjE+b4NtC9WHtdk4vF72xIG4RSqkEa4VOI4vRES+eCq97502dcICAKKS6eQheAvlj8Orh3NVUg6saOlc4F8qUv+3v7LKkoMOQ8yzkQUBRPs9MRmBHOmM+48J9J0h7zMmMjXdJWDuMSesN9xtNjwEColyBVJaUao2S0ePJoi6ODO7x5/i3PX17y8C0NSnjlddlkKfSlVmPc1edMz16ys5HS6ncY7uwwuR5xeXXN3/z6WzrDDW5ma3Z6LXYzzU2+ptdtoxNNt6OYuIo8LygXa/LFkovJDXc2U+5mK8brhMvzCwZ3tjl9ecx4csNf/PMfczjc4TffnbN59JBMa0bnp5SuIkk06/USsjZ3Hj2NnAlfiCh4R6WQVABMCu+JSbVD93ps7Rzy67//JcVqSjfVzC9OuLkeMWoPaOHoDTZo9bexuWI1X7Cc3zDshT1p/V7q7GxysK9wecVquaacLxlfXPHNy5f8+IcPOOrBzt4OyUFFt7fB/GbO+OqC88klRw8OeffuuygDprSUZY4tS5aTJdPpmGI9pzXs8LOff8rB1h4tnZAv1pRFyXRyw2g84eWLc15cTnhr9wFDHdLS7W0y5R96/RG2/G3LNb4vKN01WeJE4XbbKJDPisvab+Sag1y7h4XgRiDtRPtD4clT7nsCQ34f7yvvCo3ut6+v66eHl2rw3cUapHGrCCiaz1ofZvkC23yLGlCIlS5Aov5a+72R1ta2JxGGOveh0IzU7JcUt6i8lcxxw3YUt0YAMjJTTXjxffHu2b210taNuZM3m2I+irAo4D0rPFOOrdSw1zdUzoOTuxl0tOM6T30ZXOd86ctgRfla+JZOYtloWbKkZr+rwIYuSxPJRALYCOukgjs2ul+pxxSMd29pJ4p2mtBrJ7Szxtzhix1JtSdjbXDzKaz2cf403LuT1tkWlQ2uVuVQzpEqaCnDRmbpJI5uC2Y5LEtNN7VUDqzxbP+Va3vinItBpLhrSufnyQkQdfXZqXAxDa+t4E7XcG9YkgT3tLaKVemY5JpJrmknPtVxbTTjIqNwfj5NXLwmVBVFXO+RW/F56k2hVcjNjue1VvuS165kD0YlF/Y33wMMynuklFMUzne+S6mZ7EqFTBcHlfHzLurTd4T0lnXNdtH4ngj+qgzQIUafKA8UROmq4NKXNqwOFUMmAsxUgNSJ8jwD64hV6Ly8C2fPJcE1X4NXb8h40O6UDylIVTsbxqjDWngil6JQQ9r6nBY5S9ejNdzHnPwDxqxI00HMqvASNKRRIgoOhv0eZ69ecD664pOP36bKCMWBwlkJwEfhIJ9RvfqPmOpbdu/tc+/BW8wmN0yvrzh++ZrLyZRPf/weR/sHKDRVPuftx/tspS32dzbpac3o7ITT43MeDjfZaPcobha8fHHCYb9FSym2VcH2YIfZyTnpRod//vOfoArLyfEFq/4RDw+eYQ2cvX7F6dkxw50+rsw5evSY3d07oR2wnxvf48KvuXJIV+oIIBOlcO2UorJ02hnKVZDPWEwuKEvDeFmwkaUc7O7jFisWyzXL6Yju4jtS+xirNz35NVMM797F5aes5zmL+Zyz8xFfvnrFT376jGePnjLTG2TtlP4wo1oVXE7GrMo5b7/zhL3tPbRRVEXOcr7Aahhf3HA+HmFtydxqPvnJBzw62Ce1lspUFJVhNltyeT3i2+9ek252+OnTj2lvbpHqBKyEh74HwH/P6w8T6tStUy3nMCLdhj6EqPyCW6OhiHWDkSp3Uqq24uIdvmctg1jwKsT+GkIhEtJqlaVFoCipqS3EsdtWhguPFV378pyqodg1kcp2O74sCjAoGFXfOIYcVN3lK3ojZGLkfdzt56GOlIZEwDieGoDUYMffWwXwKhZ4INnFZ6mVdf2tQWQrsVzqZ0uC4hDDosmnaBjanjkdAJiMuqUNh52KburoZsY37yi8ihp2HJtdTTqtuFonPg6KJdEijiHT0EkqtLKgQjw5CHbfMTdcK2GIUEFQIe5jF64Xse9iHrHW0E4TskSRJAkqUXGP2iAQM+2olFe+UiHPWd+22DpLqjW9zNA2io2W72BmnGNVWd/rQDuGbUsn9WVRE+2F9mZb4VxFljnWJZQGFoVmWfpSuCvr8+8VNpbDNUoji1ADKM/H6CpfeW/Qsmx1DFs96LZC0Z6wGj0HG5XhTmlJEj93RaW4XlRByadMKjn69Zn0P7p4phsjQHaZpLrJCahj9vXc1+G1+iexNhI5I2FzN0NiDk9GlCZMOBe9db76hXeclpaY+lUhbnIPGzyZ0Xu3xD1fWEsaiIdCRIskSCcubhWH5RW8imfDA8yQF2M9vyPB0VJ+raG29mwDePp/SOisDtrIufatgkPwRMk8OQrVx5iKts5ZuD56Y59UJxT5jFZrMxRu8SDJNFoNo3z1w9XkhOPTE956722sHjLXnl8iMkEMMKxjevJr2uaK4daAvcMDluuS6fia01dvuLy+4t2P32V3sMXlvECVJcV8wdpU3H37XfqtFmfHr9jc2+HHf/7naOu4uTjj5uqaN69P2XhnyxcvU+CqnLSrefDwEeV8ztXFiF++uuLZv/k36KSNKQ3z6YR2pkiy1J/ZwZB+r1938ZS9o4neK8k4UY29ptoJW7u7pJ9bZleXLDt7FMWCslxzebqmHMKzVge7WrNczEk7isOeoSjOWLa74BJSs0AVU9bLGePzS86vrihdyc8/e8zRvSNa3W2ef3fF6+MXfPbJJ0BCr9tha3fI4e4euoKyKnDGsF7nrPI1V5djRtMRJs9JNnd59vSQXtYhz9esVzmz2YKLqzGT+ZQ7j/a4c3SHbnebZauHswpCnQel4I8x5eGPpsJ5YSqELBfQ7Pdv2lTa0YJtnO+mQvXr0zz8RMki6TkipmoDolZtzciw3FduIYvcJJcQKnIJ2JCRymdVOMRSm93f2MXY/C18Q/PZb3stZAyyyRqqOLog6w9L/LxBwJFYoBJb1m/kGhw4eUofB//+KvwOBCfLcMtiF9KWPI2qfwK85g5XxIYoQYgPtGWrZXHKMS4S8qCk2xoGqeVww9HKoEJTrarQo1uhg7v7wZahN7dcrhKwPtVQKW+pp1gGbeNJkAjxTlGWjlVpUdYGi9lX6CqslP/x5p1Ngm0bwizCiZBpcU6RJL5RiFYurrUwIJKw7lVgNZuQZunJWr4xyXbX9wJPk3rGhlTkpWKjrWilKjK9nRPClldGhQ0uQ0C1Knqpj+vOS01hNatKU1jvVgZiFUDXOE8dbXk2LBi0DUkCaaJixcUI4JTPD3eJd0Wn2iucLIN2ZlhVFjVzzBdJyO9uwjeoUzRrYBithLCj4k4LYxPAecvbRUhGdDqkWcpJqQl1EQuruvdc/U0O8Q+JB8YTEFNKfHgtcSaoc88TN2gq0hi2Am+pW2epEP8IdUjAiVyKkLch36RzfXB7K//9ifNE2dQ60JbM2sDBUZTW1xKo582fL+cSGr4uHM5n2hAyX6D2sCmwro9pdcnKBQW76LRHp7/P/Pw7OsOHIfTZKH4V5lOjsKZgcn3K2x+8h1kXfD0r2dnvkwVAIhUDFQ47esPzv/l/8u6nD9jY2MAWFbPJjNHliNlywY9/9gM2Ol3evDxnZOBg2KbTStDgQe3KsFpZNlWbLOtQzCe0uhskScbmZpf9To+s0yG3GirD3QdHFKuK64sb/vPf/Jovrxfs/kXOEZpytWSxmvPo2RNWqxnj8YL+5i6dVqcGJHFinVduug4PKVxsHqaShP7mJlSK1XzKfHpJ6XJ/nU5BJ+jSsZhNuby8ZPvRDj2lWY+PMbt3gA52cUGVj6jWS86Oj1knOZ/+6GMONvcpXcrNTPHVN28Y31xjXYnONLu7R3S1wpWOdVGAs8znS5ZlzuR6yvM3b1jbNcPDt8hnFc4WLCZTynzN9dUNJ2fnpB14+uwR9+8+IlNdRjdrTCvxfr3ARUi0ZHE1ofFvv/6gcpd2ng5i6gaCksPBrOPkoXRm49DLWoi1JQfb369hUYrlJZ8QbSyKtaFhJZ2qvrwWQoo6HUgpcT1aDKFIDSpYnLUYkRvfJoapBiux1psu3McpyRRufGuImwmAaT6Kd1k7qniXGuAI7rZxsfStD8utxD2KE+EUBJRqqv5GHPr2MH5rE6jmM4cTItPsq+N5q0nc/AmO/bbh/qbBJoqtlWORezLLRupruXfaoLQ3hbLEeWWqoJ0qWql//u2uxTlLXir62tHOHMoXc6ad+jiSsZCk4AsHga28uO60NEoritDbQCxd3/nPBsKiX7BYORCfOuWttuDuDzPmIpAIINE5tPbsBmu8Yo4pbdbS1gEgaCsrgnOQdry70AT3fStRwXvicNa70iVnOkkgi9/l47fGGpYqYVppMF7pisfBlxv2973bK9nqe5KhVi60ffVVuWLMFx+Tzk1oEZwQx6mUBx/bHce8qBiXWWxgJHsd6lieAt/TPO7DsK8aSr1+19/fBDCr486vrYE61FOfthpsi0qvqzT6gxe8TLXRBkraNusGo19jVEpF3eu7DgtoEuciyTbS6VStzHWYJFF8/g5JJAxr53AhBp4Epe9Z8hXa+eZApdOYIDWVMr5gl9NU+GJGLqTBiRHiQYu49muAZJ1mVqR09RpbGQpaqP4hdvqKoijRulV7JZWKZ9c6R1JV7OzukJhrvvjqOZPOE7Zd8CzoSJFGlQXjb/4ryeqSo+EzisWMVxdj0nab2XLGw3efsLm5y8mLN7w4uyRr9ymUw1WGwjny62uuty549PgxvXabar3m+viMk/GI5SJn/+6Qg602aE3R6rG5M2S9KHj58pTffHfMNycXHN5/wLf/7a948uAd1lcXrKsFDkO5zimKko8++wmZSiMvIu4DFWQmzVoHNehUOHb398l0wuuvv+SwO6SoSqwxZO0O24fvUKwdzOasy5xOb0DW6qNna1S59HthesbN1TlXF2cUSc5HP/qIowdvQZ4wv5mxyCsuz86pqiXWFLTbbVppSoqlKEpWqxWr9ZrjF8ec3Vyzmi7IBhkHO29zfu5Y5xM2u3uQF0zOx1xPxzx99z6HhwcMe9tolVKsK1Z5hR20g+xS0WrXwWUWgfbveP3RIjZyB7//RMs5JM+uVvCitOSw+H+JGpR7STvTWwonai5ZHH9iI+lKFGy08GmYCfEDQbE3VLer7+tlrasVGeEZIGySWrhALexrQg0xlugas+qQ+9UCslakNUAxcRAquj2jUgn3iJ8TYerEEJI4u218MBCJbq1XnfYk01pPW4AUAo6a8y/fGYGXIGWBGt4FudU2tFuAdnRSixp64ZTpoIgClyJRiqRdj0ApAtHJk+x2Oo5Oz9HvKHKryEtopZ6tXpQWaw3OCm/cx66tVaBDHFVZkkTFVfONPyxWPDyhuYLFs6wL5d2p7ZaiFcCQCFeZGfmXuIPFGiMqKv+MaVC0WgcvgqvT7ohCR8W9pTVk+Ng9Id6ahEpYCg8YjHMkukLlmlQ5Sut3cj+ztFNLL7V0EtjoOHRU7ATXf733HP6+lRGimKWsdJgrX81OK+i3LXc3CpK5YVS2KZ2AyxqMNvcvqvle2GmyR8PZk98m1Ps4DWNq7rMmiFb1xxFvgQvudFkPgbEo6UgXPGFKR4WpVBpXsLmaPmVXzrVU5gtQouE+EODg+Q2ht4O4KwkxdpEMymdveOVufcEp5bCByWzEY+Ck82PwLTjVsLSVrzYXV02eS8adMrUbbKhrMleSqww1vEcy/pIyn5N1dmtAEvayOAfTVNPrdXn9xWs2dgY8fPSYhYAm54vlJEpRjU/Ixt+xf7SDWkw4efmCmanY3Nzm6PF99rd3ODs+4fXpBcezkidbfQyaXlKCqbj3+B6bw02m4ys27tzBViWL+ZrR2TVFWZIlCU4lpN02uzs7FKucr797yVdfv2Zzd4v/4V/+nMu54++++pz/8u//b1STG66vL1kVK9JE09veYf/oUfDYUK8LfhGlcJmoiCg0wxnc3j+gXBW4xZj5zQWVqdA6QXd63H/3M/Lv/iuz+Rzdz9jaPoBCka8WFM7SXU+p5iMmx2fkzPnoB++yt/8AW2mWN1NOji+5Tva5uhpTuIo7d47Y7PTRzpIXBYv5gsnNhJOTc66ur2h1U55++IQHB3dYrzMmJ88pygXHZ5eo0rK9v8kP33vIZn9AmnZIyFjNF1xdT5jkCWnlGGo5EfVB/UPxdjl//7NetV0QBKMNRy8QnoTd7qtKBWZq+ES0eMPnk3jPAFVdDQqaG762mMMr/CwuSwiJJs7HqmpJUVsjzbixv0cYl6tvrBrfIiBGXPLx+b3JHqzFBmBojE+5GixEx6YToKCI7gZVj8w1nrUpBG8p/sboohdOrJeGcE3ixY3vcXGm47ibY/eXiUi3MsFxnjtYhplhI3EMRLlo8d67UP6ydhA55fOKW2nqn91BYb0lWZS++9Kg5ei0FEpD5rySSgNPIWsp1pXyOcxhgFmiIZHHcSSpwugEafGaOHBWY620g/QArKg8Ga6sLGvtreZWkpIkwrAN1lMAekGjN/aEjUJTBys5074zncQBI3HTitIAIYTKvpaYvlRcFI2VaQ9oMhRp6siSin5lSZQiTVxoXgIbLei1nA8HhHOklYcc0rzI52O7mjwYJJ8JWQIC1iygNHQy2G554uCN8Qq+3n/1PvHEOdV4qwHib9PlEVKqCKAa1MsOFcJdg8Ta+BuZc1WHBhr4PMbtUR7Uee9L/cnmGa+fGUJ0O8qBOkpdP4ucB6VuQ2J531LfU6Eo8ax3v9yyC+peDlYRM4dsAOdy/lSN6KHxjGJ7WBRrvYXjgjZLlvRw3U0SralWI1rdXQ9rw16TGdQO0nLG6PwlWa/D0dF9zqrUAyF8GqBBQb6mPP0VG1nJcLjFcnRFtpHx8dFjVqWl1W1xfXbGq1enfPndCXqwjUlSsn4ftSzodjq0tGbQ32BjMCQtlsyWU7bu7fPp3gbLyZxicoWjgN4G+Srnu69fcn59xc/+2T/h6b2HfP0Pv2J4tMvR1Yr/+H/9H0m7XTJl6WaK5TxHDbd8mh8KX+K3UScBQndAFYjWQZ6qWva3+31SnVLdjLi4fIXFew537zyi097g9GbFKs+59/AILKzWOYvFGlOssOuC5WJMOkz56Ml77B/cZ712LNcjzk8uOVkrst1dlusVTz96yvvP3qatNCZfs5zNWBUF58eXjOfXPPvkMU/uPsLmlvl8zXxRcXZ+xoQJZ8dt9g82Obizx6A3ZKM/YHmzZL6acXNzw2RlaG8/ZHJ9w2B4RIIOHpsG2+mWhXb79YdT4W5rLsT6bVrrEpPyXxQs9egiqTcekcQiG7xG603FelsFNb+vwZDGo2V5sFtnhTpWHJVv+Ed9FlzDtVgLF2H1iyuxvr9qzEd8gvilOv67DjYI8Pn+3Ltb36jip27N++8QkvXvbn0DfA+ExIEK0VAAT2OKbiNeGkIyuPrwLu++stzrl+z2DEmqSRsuXlk744IbVgch6WoimwAUp5RPXyotw35Cp+OFoLWhd3ISiEnO98NWCawLF0h0YYROYGIAl4nsR4WEY2zIja4sLIuKZWUoqlCS1Comi4pEw1Y/9RXgjOcEgC+M4ZRFIvnSgcxbwza0GVWkWgf3mIrua+scVgcF7w26CFppzLWvaht8PwEEKe0L02jr75mlvt97K63BlgaSxIMomV/wirtyNhZ2icpLE1Oz/bOEHeAUpfHhAWN96KSfluROo21CgQ7x6pr30FK+UqJ1UgClsYsFvSo/SiGzxoVHBaDjR9JouxQs/Aa5KwAsHTxUkpvfDO/5OvK1Bd08CZJTb8Ka1HyR3wa0TjZxABkob3AIYas+C9RPrOqx1Amqmpo103gFsGwDk1fkYnMkMsO+0JP6XmgSlrZNrjRdt+BG7aE7G+R00eU03MuTC2V80nvBFTOcqXj7rbd4/uKcq+E7bKmUJIRNtQVz/Ybu+g1JWpIlKUonvPXuD1FOw2TEarlkPJ7y+vycTz9+ilY9TH+L3qBLVt4w2N2l22qxmt2w2R1y/uqEopvw9PET1pcjxqMb3GBItViQqYzx6SmtzQ7//LM/I03bHL9+xbKTcffuHi//4RUnL16g+h0ePLzPZm9I0u7ww3/5b+mmHX/uQyil5iM3dERYVN9ErF7fVn/I/v3HXORnVKtVsPYVw4P7uHSDVZ5QtTK6G0PW0ynFdEk5HzMsjymXKcv1lDuP7rC9c0ieW+bjKaenl3z94oSb7SMebzrQCW+9+zbD7gBTVUwmUy4ujnnz5ph02OXnf/YTOrqNdgnFumR6M+dq1uL8eoIZrNi9M+D9tx6zubFJSkI+m5OXa4rVmsVyhdu6x+DOU6bfvKIyOVnab2jLeCr4fa8/4pZ3tzZu81C5cAqkK5eTTS0HPsBRQZR+AcJxUY37NaCHC9dKDrOkArnGWERgRW3dEPgCPmSE8l0SpxONrXBk4YDJlTXsqMdmVI3umxPZtCtEjsXDfgtRiLoMGjhYVd4SCveOwoT6303Ne+tZg4dCNrEAlt+xbmhVexYRi4AIzG5dLfdRjtT5rnlt7bjbKdjbsLQyRRIar8galLahfK0XvJXX7iSqninAx3+NY9iFrOXHJvUFSuc7zbWUX6gKT34ycocAJIjKvcFvCAKxk/pnqoymMoqiNCzXlrIMJUwDIMuNY74qaSUJWcuPbZ77HmppINtZFNZ45Wec8UIhiPC4VcP8Sc1zscYdRDJeouvwkAtKvZKDqGrL3xPw/EIppWgnPt1Oh2vk60SRijuystYX6WmiqMa1cR85QsMi7ZuqGK9Wisrn0yfaspkVKGBWZUxNC4vfp1looKTx85zic8DF9SxqJX6zknMUYsGhwludmilNVppA3SGWOMqrTWHkS5lmhQ1TVFvO0gDKOrnOT0Qi44rueA+8RB75P+Vv61NNJeQlh0kId9TWv2rILXn2aK0rfIXIeNoCV4Qkro2SzRw+o+OeltTX8PVhk1UqI6dDy05BV5Q6I9u8SzE+Jjn8DE/K83X8E+33kSecWg7v3ePy5CXfvjih+9GPfNlZQLsEZQu4/pJ2xzLcfQjVlK29e1harNdLinXOqxcnnE1G/NM/+ymtyvLtVU7mSsrZgo5zmNmUymXs7R8yPnmJSRN2NjY5e/mK0dkZKEsr61AaQ7lY0N7scXd3G2fg+M0bfvXta97/k5/R0wlXVyOm0ymDdkpLK6ZXY+htcHDvEW2tcMb5CpdhvoRjVNdUcaFbnMg4JweOwfY2l6fHrPOcTquDQdEd7mGTLqqzT7k8xlpDuVoxubyi0mu6q9eUiw5bh1vsHx5iV4b5fMZ4dMOr56/4+uUxB60u7U7Kg3cf8U9+9jPMyjEaX/DqzQusK7j39D5HR0cMe1uoylGsViymU+Y3c0aXhhUL/uznH/LJ+x+QOU1ZGawryZc5NzdzXr485Wy+YOuDO2wmGQcHd5hNRnT2uyh897rokv8Drvk/XqFO1ZZjVALWRYsMRYNAc9sKleMl6WzEg0K8X60ugmIX4YC39I10N2tYwS7YAFqsW1zDzSr3DC7FIBTTgIqVavZp9jFc1/isi8+hgglGrFnvn0XFsbpodgh61/EAO92UsN+DEI10IoEYMj/1OPzLA5PbBDEXhGcEW662LJpgIwmfxdXgRb5VoUJDkyAslS/QsZOV7HYM7cQxbEO7pcgSnwfe6Iboc37DPPouf3IA/ZNqogHjW5umDrT2DT+c7961qqAoHVhHXoFKEirjQg/2UDs7CFspLdoIAKBUGIeFJNFY5SiMpagMhC6CkUmuvLu7sjBdVWSVQmmHNV4wls6GuL6PW1tjMTYoFeXViU91qhuaRA+JEjUSAGlIdJZYoCf9NV3U9XhwvlGQsd4Dkib4hQyeEFGjvwtox0I2ygszrQPTJRzCWFfBOozzYKCyfh7LyoOQTGtSXfnQVhCKlUvCulVEJ3Y452ubsnZZyIrxC2xFgQcVFQFlmPsEfFgLUYIuKnm5Q1sb2tqQKl+apXSK3Pouhhbt76+EA1LbwYmSZlIeBNTgoT4fvuWuzIdCJFpsUSteSVWf61qxi1dSnjG8p2rlrhuM9QbjJ35TLDokVyiH9EnSEYTInIV1V5rC9emWr0mzCkNGNjhg/vwLOrZA6W4AccoTfBVoZen2e8xPR7x49ZpnTx+ittpU2ngyn4JOsaBan7H3ziM2W13mk9cYBTfnZ5g0IV/lTMdjPv3xJ+xuDPj6828gG5ItJ+h2hakMy/mC4nrMXr/Pyqx58uQtnx1iHWwNKRKFW/uCBLrVYnt3j8V8xej6gr/55dd8fTHlw3/eZnI9583FNeuqYqAUKsvodTqk27s8vnefXuIbZq3Kxto574Z31jUag4Xpry/BKM2dwwd8+e1/w+749EWnUrr9HUoSNh+9h35zAYWhKCpmiwUbR3367QybLmhtb+Fyy/R6xGg05quvv2WSr/hf/rtf0N+4x02nz9OP3qPX6rCc3+B0xYOHd2m3M3rDTTKdYsuSqjKslktm8xVF0kZ3Uj750Tt8+sF7bHaHFKscm5eslguef3fC67Nzvv3mFdn2gOG7a6yraPV7zL95w2D3gJZOaEry3y4DXr/+SG15GhZ4vQHFGvaWshDSbmnISEiDegGgGTP2B10s6QisG+7MRDsk3iI7Xzk/6BRHKzF4xa6RYhqC5H20Jri8NGT4VCoDVDYUqVASYnVx3H7YQQEHRd50izdbrcj01AczOA2dqpm6qrnxmkEIeWaJzddKS6ai6dZvKnylb6M1pRq/VXUHKxpzHRWiCDTq5dI4Ospxp52z16tC3rSilUGmVSwUIWOuD9Pt5/F1r139TMoLq06q0GmjxrfzQrSlLFY5XOIwRmGq0q+H84fZKa+AvcL0+c/I3InyTHwJV+cchXFUVYXC+r2TQmol5q196EApjDEY43Prk0QRG3fYsJ9tiI+jo6tUa4Lrz5DYBK1VaDkKkZHlURTGeY+B1p5F32xq4pwoZZ/2VlkfTvAgwiu9yvr9Heewsf5iwccmegqkqI/0q7fOt/U0eGXuvRCWKpDtKgM4Tao9e14pH3svjKKblBhbYUjItEVhAhksIdHQwnrCXyCQScaBH6quz7bst9D3vCFKPDDHe35A09IVm1nORurDJjg/B7lVLKoM4xIIZ9m42hmtcSShW4NPK9XeUS5WtJJynRZp1yrSSFIhM1UzAxR+K3yfKVBb3GH3Be5EIq5xVYNqub+JEKOGE3JqE60COAatTNg+ikzX1ygcznRRrqTLiiTrkG7uUrbauMUJ3e0nMfsgCQA6weFmZ5ydHvPk3XdxtsWN7tBN/R51VcH65O/Z3e9wcHSf8uIYk+dcn57z6s0JO4eH6GrFD//kRwz6W7z++htGlWKwkbJhKxJtSXRB1u1xdPeINOtwsN/GVgX5ck1FRas75K//w3/msir54dtH3D/wTWJeHZ/z13//NSvnw075Ysmrl6/J+m2UgqzVRlmFShMOju7R63ZRLhStKX1vDWPBqtBISIfAUQBKvvRuLUF9P4CUTqfr5Yo1dO/cR7U2KEno3HtKy00oF58zm41IuoqtwZB21qMaeBC5nk6ZXF7y3fPvaG93+BcffsjO1j5Tt8/5tAyGgKVczRnuDRlkLRI0VVlhWxpbGdaLFZPJgulsiulss1gt+fjjp2xmPdbzOaWtKNcVr14e85vffEW60+W/+zd/Rq87xG0MyVyFS9t02xuMr0ds7t6jIsXgeUrJP1a5N4AquLp5i/wprUNRErsiKrXAkw6pKuI294zQplNPjFtFOLSNwx+RSWC3KxeabyhHVxkybQJb1aJ06P0c4mESFQOCVdoo0qIsWgXBKhoIQexEFB5kdRhPfby9UKsBi1LKbyzXcK9BTG8TJS8froW2hDeIRn+9VLWFAWIF1fePyloUu3OBDCTj/x6fISBa57VL8LZ4BdlSjs2sYtiuaGeQpT4e61nw/luFTR3zeMIX1dasd9ujfSqbdB9zzns+tFbRzWxDelUr9Q9dGG/dOKN8D+fwn3UWTAjFOBNRezPdQESzNr7jk3M+ft6NCef+uizVoeGIEOAaVeiCchZrTIS3SlT0DqSJIg3VUirjcNZDTi1u4+ABMuDdiM6hje8sKJaheF+k+UxlfbhChy3YrCwoqNA1NmRsylL7imPnNBdAthS5MFZRGV9W1xjrW6kahzPeiswyqbrnvQqVgUxZdIKvZoYvqrMymrXLwl4yZLoidQmVdEkMcxiZzKo+dxEAhw3v4pPInvbWZiexdFJLK/VX+dipoo3D6RJDhXOWyqZUKkEycCSbXbwKclZ0gPc2WPKSNqTjKLxnTckeDesj6ClC+kZst24xKhcGrpGqLXM5Jy7sUxXWIwlGhAtzkWhfL0E5v/beIAnnLa4zaNXFGEeHJe10C9XtsMq6LKcndPYeAonvNUDoUmkN08s3HN69w87GgL/9+ordR0ce8CvHenKKy884fHKXxFpGkxFvnr9gOptyuLdLpiy9g206rTY311e8Pr1inPTY0YrEKVR3i2R2SlXmjG4mbA02aHV7lKsF49evWaYJLaP46ptXnGnHn/zpR6zHM168PuXF8Tlvv/+QuxsDfvXimDevXnP3ySFvnd/wn/7mH3x1Pu1YFzn333qXTCdoQ5TRHuCH86NdrFtgAbQLFezCrrOeZ9PfP8S5BJWmVM6wvX9EQuYVf5KSdLZZnyyYVTlbu1t0N7axlQVbUc4LxudXvDk7Jtls8aPPPmTY3WRdasZrw7eff8He44w8L+n1+9jcUCQV3aSFdrCczQCYTea8fH7MMlXsHd2nu7xge3MDWxjWyyXX0xvm1zO+ev4tb332hGePnrK1sctsWjGngzMWoxXDgyPOR+d0d7wMK52miCD6d7/+CKGuJnl4hWWDApZ4rosd4gTcRgKXC6koNMhrwTqJiqk+UV5QNsh6uFqhJrgQG/Ou40x5N16iLSlifcBKaQoDqfOxJ08yCcIwurWDOz5YfrW7s+n0DJuo8VwoFZG5KOjvx+EiSm/on2gVuDqU8f3vieZsVKD1FUq5Jl0gikhx94mqj+Qm5JpgsfjfRotRnkGa1nS0Yzst2G6VdJKghJW0VRTQ4yRC4a1XC6X1ZVq18mVXhWTsnFfulfOHzDmfPtbOFKnDW+IiiBsEKW+xWqSGN3iBKP25pRXnrf3pQDlN6WxUaqlPDidRQgkLgliB0oHIB+C88HDOp8lZeUBFHc+TOLYmhDpc4BqIsuVW7in4+La1ChP6fCsMEgSX745nJ1p3soaNNNEIAusOffUK+7morLfQrVUYny8UtmqCsZbKWKwJ1wZB6ZwHbLdotuG7WtqC9ifChuYtqBTQaCyV9WTCFEtHlSicL1gU1j3GYcKcexqFP/ixY12UJ57g1VaWYVrQS30oyLogOJTFaWgnoW689XuHwB8Qb54OAEMDqbKhmVKdTpfImSI0ZxIg1SArStlrcfYLAECpaBmJkta4kPkjXkgV76OCFyOulACKMAZxPOlEkarA+AkAp5YKNWByKkOlPVhf0h4copKMpLNJmo9JVRmKKfm11Ci0tuweHrKdpfzml7/k1dma/Z+E0JRzLK5fcvdgSDdNefPt19y8ecVyMeHp07tsDw+4ubmhk2ZMRze8fnnCX//mBYdvv0W/16E7ucHkium8hN4mTx89pl3kTK+vafe6bN87ortYYivD/t4Wm3sDWpXlzeszzq9H/PAn73N/e4+/++vPqdp99u/u8d7jx7z5m+cMej2fCVAaSmvYv/uAqrIoq0J1yjgzHtQ5HwY0QXp7kRw2cUC5xsB6XbIsc3qqR5K02Dx4TPAvBpmTkaOplnO4t0eatCjyClMqltMFFxfndAZtPnn7Cb3uDsZlXF9NuVGbXB6/oru/R5reZaObsR7dcDWbM9zqoY1jOV8xGS/41S+/ZFwsuffxj3BJn7yY4qqMm2XO+PKa11eX3H98h3/25Bds7mzTbQ1ZTlcsVgX58BBc1wPFXh/OoXIVqWqF2goxv+l3vv5npMKJgAecbjDMRVFF29IflECUIlqUtWBC1Tnl+NtBXByxPEDSPOSQpCL0lHfTpMqilfVWfCj1KYckUzamSHmL23dOMglURixN5Vu4omMsP5Lj6nMp0UYv2FUUWUh+abg0KtDbZsmtv0Dd6nTdABXNa4i/a94sAib5P8Yeb39hQ6wS3QEQLZDEU3xiCl1LWbbSkkFWkOlgThMKb4QYumexeyXrEMtU0rpCC1ElbHUPInLjKCoIgXiMDu4jHVjBrlZOIritBVPVGQLWSftNVzNmHdAAm+AJeNr6faECN6Du6y7zFKqAOe+eBuI1Ejv33AE/Xu0UaI22FqegVD5v2eoAPFxjJ4iyiPwAr+Ar48JldSlViZwLSEs0ZImgtnBWwt82hCXE7WtRoF2wUFVw/ftytsaIQpAQQOWJfaHBim9hGrIJHDgsawep9aEKG4SjVT4HWjqMgaJjK7S2+PCY1EBIaCt8bJ5gIyvpeuhXJlOOtjJ0ktLPgROoKaRYf8IyZWklNnI45AR4JeciSAvxDax1sSgVKvjplHDW6zi3lKSt/V0uAsAk/C9ubfmcwsXiQ1KiNjbPUSF2H0aog7Xiwr6svSph3zX3qWqO4XasH2oAUkvSMAc6hdYG5uaE5NCbOYPdO0xf/jXOrkizrPEpR+I03XaL189fsaoqfvzZh7S1I9E+fHD//iF9c8zp69eY+QhszrN3nrJ3eJ/12tDaSrFVydXVNV9+94ZPPnrM3s42G64kIycrS5aFw7QHVFXJ3t4edjknXy7QrYTOYMCLb17Q3erz7Ok9zr59QZka/uRPP6OTdrg4ueTltKT/5AkfvPUuxWjG/oMjPnn6kJO8oKoqrNLMZ0sWhcMZ62WDIxoEMpPGCVHZ4cz3caXCGct6NqLbSqCqaG31aA8PsUG5WxRK95lMLa1+l0G3i7WWwlhmizU3NzeozR4ffPwBw+4mTnWYX425nK7JNzOuzk95xDYbvT69bsZG2iGbXFOt15SlYXQ25u8//4rudp/PHn7E8M5TXn53xjofM5qklJMV09kNW9sdHj55xDDdwrqCapWzms2YzCrUUJMpXy8AlTDY3OX65JS9e09B1ZUff9/rD7PlRUGJ5YiKFp8IS6eIaSiynT0B2N1CFRoRYiouUtzKSlSRlH210XoLzj+fZ4wjU1VE00lo3pCEwycussoqSi+PvFs0CBeHrzDl3TyaKnKB4xP7g64aFnfjTxmopcmidfEZGo8jWqPJqYtPLVbrLRXuvveP+sJ6LFFgNC3YxvXxr/o6+Q6FL0SzkZTkzjeb2EgrBllBNzW+oQVeCXgLUJM6IQvZkC8dDpaplXDlHGLWyyEsKusVdbASlbJYq32FPuu9KaWt7+kVnSfuWesw1tYx/qjgbfMx/feFR1UNkCi73TkXBbfcS2LpguCiq9S5+L8AFWdtCEU4rNExjUicu+K+FdJYnRLirVjjoDI2jF9H0Gicz3vOtKMTgIJVHvR4q94DCuNUvHc8c7YOBZlgrVemfg6FgGtH9HZYXxY1hkocOOuFW2lV3MdpmCtr5TG8t0YrQ0tbf5YCp0UyPtIAOk1Q1waFUZ7w09YlfV3S0ibyDSwqtC2t1zDVHmxUVvaq83XeJbXDH5UgzGsgLjjXxYp0fvypincJCrgh9cPZVKruJqeiEr/dJEcLNna198Evoaz77fdvbcwIY/w4JE0xZg8gxowAHRefSTWeBUB393AX31DmN2TtbXpbe5hfTTHlCtUZ1pMEJLZgdPI1k8WUjz79mPNZC521ENug1WpjpmuO7h9x+fWYnccP6XU6zNcly3WOKipOX5/y+uyMT37yAXeHA85vCg/crCGrphQuY+/BXSiWXI8MvaxNd3OLm5NjvvjyG56fXvLm1QX3ntyhs9nlnbceoQo4Pbvk82+OGZUZgyRlPZ/z+sVrZq7ks59/wvn/57+wWq6g06U33CXPbQCyNdiViRYisEy76CKEV+FAlyXLmwuKdclmpkmHW2TdHay02FWQDHap3BaOCe0spVzlrCYLzk9e4zqWZx+8zebmHiYvWc5vODm9Yr79GGcHuBTefecJO/0umVasFgtsYinXjuvZnN6dTX608T4H9++S0uVynjI5O6fQM05eG+bTGe/94CmPDu7SbvdJFZQrx3K5ZpkXuN42SWsLq1I/ZqdpD7cwF+eU1Zos6ZFpR1f/ftv9j1juIlwCG1oJ0g2CJOya78eTa4XoGncRS19FS7IZvvVq1sWGpj4e5YIQtWSqpJOA0r6lZQKe4BHGZIPFJPnJgs4qaZdpvFXhU5qkzWoTwLh6pE42Sb2h5En8AbRIHm04vvF+8XlV43PBLSYzUsuBMFPqe6hdyX3C/Lu6SJBcpeIVzZ8EiNULEvwTJAp6uqKtCx9zVTBIKjqJJU3ED+BwTmNC8xTjLMrE39wSytZ5VA3gnA3WqEI8Gzrx862UL0PrImBy8dpUqRDf9fOUZQprFNr47/MlgL1FbZ2ktckUKGoGc3CRqlD2NWxU61wMq9hwvxgSCDcSXR87IIZrwQa+gcIXDJLnr4mWfhhhx8uHw7xbCV0YHfagzJvfW1nAuqbu8hNJqdEj5nQErE2L39d40N4aD89nxDNg6/0ooY7C4BvixH2igsdKBzwklctCepkSZSwgUcYXHdaI/ZmE7lx1wVlDqgwdXZFp38YlODg8yRBHqhqeOaUbXd7C/NsAUlw4q0oqXSr/bKGATwxLqXr/hsKF9fkUK9wvY5BfjbN4CxTXJ92PTwCWa85ElBmWxj5wMnzPfbGNk+5COqVSnhDmwim5fUpridkM3JFtgNXcjM/YvrNF2tuk1x2ynJ6zMTwM3xuuL1YsFhPefvcdZtc3rDY+pE0aZIil26rYPtyhnI1p99okacJ4Mmc0X9But1jNZkzzOT/80QfsDga8+O4Ny5VFX71kWy0x1nF+NsUNxvRSxYPH9+mmGfPRNSdnJxzcv8PO5g5o2NxocTjcJL+ZczNZ8uXXJ/zq+RmtvXtMrq44OYZ5seTO5pDzdU7mLKPJmN1HW7TSFtZagdHxWHmQKMDf95hQQcJJVU3RV+VkQr66IUlTUp3Q2rxDmnWIaYmA7nTYefZD7HTp27KuclbLGZ1+wp2HD9jq71DOc+azGbP5km++eYn+i59iz1Y8eHKPe/sHYCuK0pB1W/TKLl9/9R2TcsTT95/x9ofvU0xyzi7GXE6XnB2/pL0/pyLlZ3/yQw529umkLap1SW5WLGcLLq/HXK4Mncfvk+oe1vnqhgZIk5TBxhbr5YJ02EVjUKpZo/T264+65VXYuZ4y437rd2LF26CoZTH8/KuGghQV4UgcxBJaIrDwzNdM1S46rXwcCXzedTtxOO0/X3tBVRSSJriTjfVNHiya0tYuO+d8YweDHFw5XA6JV4qGbCrj5hOrgK5vVaWS+0hcMQqDWpxCDW6acyFggig2bzOL5XNSAKgZm5MZcM5F0iKN7/NhCUULQ1uVtHWFUpaWU3QSS5YYlK7LiySqrgJlLaFbWVA0yhGyaaIydIG9SgRU1ASjAKG19oo+yNzA9LeIQ9E4z4yu45H1tjFOQELi4/jGeutbqsgp0KGoTFQ8QrqxDeXkXHTze2Ue9l1UYGEe498BhkjN4ABGpd2iOIC9Xq+BKwIQlLesS6vJTRp6sweLEB2IoBYdrdXglYiWh+yNmgcg1km9Ii4WzbGAM54L4eITBMBr/Zz4DmkN5eya7nEPLFpSeF/Ob9jBQgB0QX1bl0bbVDpQ1LFlX/gmDf3Z6iIk3vq2TqOU9Uxf6pLRkvdtrF8r8X5IBoAPoVhSbOia5yfEV6u0Pp1BeZ5IokTx+88mMq9KTo2cs6bKbpoj1PtGsJsTaRPOeZQdxLOGk33ArVcEAU6eVPZvHUrwocyawIdsLd3Gqg7V8saXFtYJ/e1Drt98y979j5t9nrAK7j98jFpP+NUvf0Pvw/ts3veelXZSsNOzTF6cMppcsrfV5eZqxK/+9pdUgz7Pju4wGV3x+N0nHGztc3l8zGhV0cWRTEfkwa1xMZrz1r27PHl6H1euWUynHL94zqIoqJYFn//dr6l2OuzuDFndLLkYTTk+HfPF6xOma8NhkjC6uGB8p88PfvARNydX5MMVj+7eYX1xzfbuAUnSqp/f1R4653zLXznDVikfulBC3/Z7JMFxc32B0yVpCkkrY7B/l1bSupUm6hJF++HbcHxKkZ+yXC5ZVwX79+/Ra/colmuqVcX12QVnszmn1yOObi5ptzb4s3/1c9qkzGdz0k6GW+d89eXXDI76fPrWx3TTLsW6ZDFbMlsVJJ1d8tzw6GiPTz56l4PNPVKV4CpDWeYsF0suT675+tUpI53y3ts92ujIU/NnCra3N7kYndLaHJI5/Vt7rfn6oxXqgq4LsNfVJ6DhVpY4lDgIvBBzQUg0lZkKncDEUhLLVsSE80STsMl9vMjD+kx7N5qcKy1xXuetl8oqCqswRmOUuIhVUPLNeF94gIBMlHIxvmiDQBCxJWOLc9B4v66Yp+IzNkpYxZh4bMsakQ9IzDbeMQqPGnSIdSvfoOP8ut9ez4Y8acZ+tXP0tKGrVjWZiNCP3JlwYGpPh1cIwboNJKjbfIkQz24oSIlti+tbGMCocDiDi1/2h4qKIwg1V7vL4/QoIZuFfaMIZW61LzBjmr8PhEnVGLurq7h55VLvkzhWJ/FpVY8t/Cum4yEEqRrURVQQXOlNMl09fh8LLy2sXRLifP65ElESVYLC4EI+vngIwtEKk+RHZZH0PA9QvcJt2pMuCj8Vxi2Wd92rPKykCxklSt+uJIi3/gXeiVCte66pUFfCk1WTCGhtaKTjY/AW7WP2ykMHD7iiWkR6lzvngWGiLGngzBhnQ4QneNmsqlNVkWk3gZOjPAiwkr+Y4OvN61D1zz+ZMQ4V0iBrzVlzJ/z+aYTjAvtX3LxyjpvHV7rKiUzz8xD2/PfeV2EuTfx6Ffk7OJlT780UL1JtJPmTn/Z3KcbHlNbQ1indzXuU3/wleZHTSrpE4yhR2Crnq6++YPvOLncOhh4cKei5G65ffc3NzTWDTovJ8RteffeC7maH9z98m4s3F9x/8oCtXp+LN6/48ptXuI1tWqsFJi9B+TLSm48fsrUx4PpijF2OKcqCw6eP2J4tmYwXpO0WP/7hh1TTJafHF7w4v2RdWN57sE/vegmthI8//SF/8bMfMj2/oEwSet0uG502g06Lx/eOGCRef/gQmg4ywgYDjnpPa41SiUBDT7RzCleVzK5O/TmwDlsalE6QNF0R7A5wrR7K9VhOl6xNTn93m163j80LVssZV6cjvn31mutixb23D7h/sIlVuxzu5FTrFddn5yyKNdfjMR988g57gyFaZ1S5YXkz5+rqiplpYYs1B4+2+Ozj99gbDsl0gq0My9Wa0WTMdLrgb//Lr/j25oqnP/8FWavnq1Liu3D65leOdNji6vUSs56gOptIW+Pf9fojRWzCFIjyEUWn6zS42CbVxQ+En1W06rXMaVBYWlyISt2qoobybTFbiQ3EFxUKULiGkvU3qhW4w1jt86RRFKgYVxd3pgljEWWV4N07JghoeQAdlbG/v7jmBAQIAIj0GNewpEUZx5hfLUhQNbiJE+tqF5//OyirIKCT7ynxQL4mikklloQ/AIR7yLd4GepQlGhlbqXMZNqDAAMeyQbylijJekYaAk0BRqCFitadlCNpQpFE+SGpMOfW+vQVuY+Szzlx1Mt8hglAlHR49ghCPCBRSkdLCYJSAPwtbVDm8jl/oaNW+LhmCKfBOI0u+/Akcn9ZU+ddrkqUAy5a29qJb9mr6tIoCuewVL62uErAaTSGyhiwNhDGNInWaOUVeTQKIwD01q51IUYb9ryASg9bDY0J9PPrfK9zG5+nflZfTrZeWFGgFgJDXsV59/UghGfgm662VNWotOhJqzbAT4EHSWP31HvRQxUBKHK+xBNTCypFHQTw5zfKImeD7y0Uxwl7xbPtHFZbFEmscOiBjsXZJJQQFiO/5unUu10eXcV9WEOf+lS7AAIcKoZqYkGvAHD9Tgp+MCVcovB9rt7ztbutnivlaoPJKUj6u5iXv6YyJZlukW5so6xlMbumvX0vhr/s/JLX337BxvY2D+8/4oKOlyWqws4vUDbn3p27jL79kun4ht2jfZ4+e4vFzYLtwz16vR7TyzEvXp3z+YsLHrw9YC+fkRQ5eQULo7kolnTevOHTd56SdvZJFNxMbjg5v+JmumLr0R06VcGbVyd89fwV73zyHvu9AS+/O+Y3q2sOjzT3H96j2+pQDjZ5OhywullQFinvVpZ7b73DwF5Rug1WahgUu9SOEMOCGKZJnI6e0yDKcHlBsbrBKENno0flKnR+ExpSpTXYdR6Yt/WQYl5AH/qdFlW+ppzMmdxMefnqmJUq+Oknb5G1e1RpRtYboswl8/mM3maPnfYWz54+YKM/AOso84rVfMF8NmcF7Nx7yMl3M568dY/dwZBUJeR5TpEXnJ1c8urkhOvLEZ17G/zLH78Ngwe0dEqqPcFVKw/cpCjXg/t3OD4/Z/hoA1TsKPJbrz+i3CXm7pnWaWhRKYSzwmnySofNVVtiooiR2GE4PI0jGiwfG+JpYhPVOfBBxIeiBUFBBLUqcXM5fN6tK1a6tx5MFA7UCkvhyTr+ziing7UeSlA66nGIhRHGYwPSl3S9ZlwbAQXyJfElzxyvqo/xLcDVcMeFuRW54q3dIGBUZDuFdByCVRuUuvu+rHAhhavOAbXgawO40LhSudC5zLuyI9hwIjibyr4m6MlDuaAUvAfED6BUfqi32xSGOKiqXbii2EV4NiI4wWoLQt+CcyZWwbOuUVFNPh2Bgn9I+bdz9X2le5t1GmOFQe+CF0ZIbe5WiqbvpBWmP8ypDnMkbmiU/M7HLTz/I4QanEEpn7FBUMYWQ6XAWE+wconGqhaoBIGLPq3KNua/jqTLvFk0PoPFM9ZxQmJ14SwKwNZeowVHuEL4fwrJU5VWqEbJGZU9LadWNqfCF2uKM+yfy9kAcHRtHImy1o091DASZM1N+AbjHNKF0X+8HouhwVSX7n8BQEr1tdrNLZY3oe2wqsNE8bq4c+rzIvukAXCb19S7rZZqtf+k8VMwWuRewvCR6YglcmU1HDHtVI6+l0r+Kt3fRTlYzy/p7PShN6DX6bOaXeO270YZnU+v2djd5N7REd98ewrPfkhPKZRdkemSoydvMX75DTfTa7bvHXD/wX3yWUGBpdtusbiZ8ubknBfH5zw4GLLXzkhHS5+CqBWjHB5/9gHvPn3C+PScVbWi1+lRjG5Y5oak02Vvt8/Zi9dcTEb87J/+hKO9I1598ZIvX5wzni05cCW9bpvZzQ2z+Q137u2Ronj7xz9ksH2Adgnz2ZR8eYrrtjB0sEZRIWe5EVqyUGHwjXFCUy/jcOsl1XpKZQxp2qLXb7OcjSm9lRGUu8hZhW3vsC4SdvdapBXMRyPydc6L5y8p24pf/OgDdnrb3ExLxqpFNykp5jdYSrIspZUltLMMU1WUeYGxlsV8wfn5NbPegHZ3j72jLjubbRJjWcznLJdLlsucL375BYt2weP37vP48SPaqs/EDrFJaFWNQ4WGVT607OhubrAxvcbpknb6j1TuGkemHD3t2062UwvKI+/CKVaVAqspjZSdEfTaOLwImhXloBrElga5ISDpEiiML38pBWv8MRC0G2rPNdCt76UchF1DnQoYiCIoCGjraiGgSKLwb467Pq62Fv7xxIckOXWbZPT9z99KV2tqSait2vhOw7JvfMwL+oD2G+5fTW0zW/muILi08/wFhRRRSf1G0c4XYgnrkSlFK3FkKaRpGpWVj3eGimYWqkqsbBeAHGF9ZDReCVWNuK4gJSkAF4WpLD7BU4BYXgTrznkAFhWxikQ6IcNZV7vgVZwXFdPEnAsMdLyGtaL4nYhBsUpDAntY3+iDcNYDT2wAg3El4v6WEIcodqcThBZqla8v51nYtYfCu+HBKamoGIoJG+Vb1pEGK7nmfPixAMoGC8XfT0Ekmvm97NfbSp12lPDMPGjQSbjSRc+ZgGjviUjQSgcA1lBorgZPBABglY+by7r5dbH1ddRWuVa+UJFwA2T+UB48iHfPp6X6ewlXwo+s9jh5VFADGO28y12UpSjWANe9R6RRywjlZym64yNkcfEiKUfdqJhff5762eT8ShD3d4IFArh3Gif7QIEvNhVsTyGyCGSLgKbBh0g7pN1trt58x2D7MVl3QJptUM0vqZyHbH7tFXcP73Py4iW//uIFj+8VtCpH1nJsdbtMTl8xuT5lsDtge+8AYzNms2vIWswXOZejOaPZgj//8x+hVjnXp9eY2ZhVVTJaOt6oPsObKds3Uw729uivZixmMzYO9yjPr5iVFXq9oiTnx7/4jE7S5vzNGb/59hW/+u41ZbvNaLZkla85m0zIOhnLxZIyrxgv5sxLizPaK/4iZ/D4YVTmJpArrfA4QjzaOeM9lspb8EqBWy/IVxOstXS7HcrVms1egjUlSnUapzmsfG+LQvXptSCfz1jP55ydXUBf8bMffcjB7j0WV3PGc0Oh+hSLOa7IGQ4HtDPNYNDHliVlWVLkOUVpuDwf83o0Zef+R6A2WC5es7/tWK8rxjcTbq5vuL65YXjU46NnH7CzvUumUlbLCpu26GgduUpKB29x0KEkmkRlVPmCTtbi973+oHLvKscgq+hmhiwJJS2DC804hXeRhepvgZFq8X2jDRrr6vxiB7eL1BDiTOFvnKTxJFTULjqvkG1U5NEdKocusAljbLtxtprKNoIDVat/+c3v4MDUQhYhvAQF27irxOjCU9y6by0a6mtjTmH8TSPGChEASJyuxvfUQjH82zsmXcN56cehnaVFRUuVQbgqeomjl/mmJGmq4ldlie/0pnVDaYUiNo6EonKUBnI8mU2H++mGT9yva4J1kBsd6s/7MWXax/mtdXFtxJ0pKNwKVdARUhpt4zpPtmuywuP6YP1+Unjim1Kh54GNn43rJYoFoksbtBcIDYVsCeUubYVxFc4aH9MlWPWK6Ia1IYyhHTitcFaDSkG1sCoJSsYLdO0cuAqldLBSQxKU8wQ7dBbAo4NQK10eN6ohpaIzurYsA1wOCt1XAvQEowg4gxJSIQ0LLdBUE4P0KpQsViEEJuCLGpCKyrE05sDV57ayNbPCZ2cEaKt1KK9bF04ChdZ1zwhR9ho8298YKmtJkwTlNCrU5xXF71zwRFmBBf6esdKcbMy41g2AJiGNGAYLYYcQm47hssb+Dmghnu8IeBRI3U6/SrFnXfz0LeCAivu/Nk1ur3O8NvzTOrAqJR3cgdlrVkWByjqkw0Pm05csS0OmUxLl2Nvb5+bVF7w4fs1Pf/4JVSfBmoKBmrG6OuXi9CVZotjev4stHccnLyiVJlWW01en3OQLfvKLH9MuDL/89pjZm2O2FmuUsYyXFnV4xLNnT9jvtZiOLtjcP6CzWnIzumI5X/B6NOa9t/b54KN3UVZzcXLJF1+95tcvThgtVqQ4irzg1fOXPLqzR8toJtdjMp1RjW94/s0rLsdT1mXBwdMP6dNGSkBrvDesNqy820YpjVLan7kgy8vZiHw5DVkfll5/A72agcvJdB8r4NovN+lwk737H1DN/pbFzZjpfE77oM8P3nnC1s6RLzozPmHV3Se1Cav1DTt3ttnpd8gU2LJgneesl2vG0xsujq/5u8+/JNkZcNjpsh5PWC3OmN20WaxLjs9OWa9XbO8PeOudZ2z2drBFSb6qGE+XuDsddOKNrUzchJGQobHOsr1/wDff/IZnPxjw+15/ULlvpBUbmUEl3oKL1cKUo6UgTXzJSmtNTJMy1tfMzl1CQYjvqeBGVnXt6ZoHEI6BUhinySVtSAlOdoHV7A+Xdj7xQYSQaRxEq4IHIZxIER42uLVdsGr9vV10EdajoHHEbse8/bibTWvD51T9Scct/S0ez1t3jmPFxWesBWbDTlC3P9GcLiGxxe9y9TUJllQZ0lAJLlPQTS3dLDDXNcGaCnamVugk2v51YRrnmeupDv3UG8Q7pVTsk24C47sKmQqV8fOTJhpvOpo4PhfCK5Kz7F2VgQwkMXrlLXCDDqGY2sUt3hPvu0kw+MIpviidC3F9aR5CUK4gzGnv3pf9FsS+0tikhSEj2Na4JANX4Fwe3fTiRYitZ8NYPTEtQakUrTJq4SO16cOyuTr85OMLFTgTQULsLheVqWqM0yvfpkInuKC1KGiZG3FNi8dLvD1O7N2gtqPlqZBcb9lgkoonnpUIR5V4I/yVSWOcafCUiydFB2VX9zWvwbcU/4ngV0UaX/C46DgfSmufl+/AWoOtiNwSSwgHiOcmwA+lEpIAWqPCVM1zBYLo41mKQN3vFzlvKlyKaxoB9RzIRhKgXp9iCTBSJ8PUqj5e1ZQxgkcEUIgnzTpFe/sQc/JL1qspmW4z2H/E2Yu/pqxyklaHxFasrl9zdXXOex+9j7Fd1qpNR5Vk6ytW6wW79x/TqpbMR9eMrs55+eqEw2eP6KzWoEs+/fQj+mmb49evuR4vSa5GlKbEAqtSke7s0NsYsFzn2KpgPR8zHPaZ3yz4+vUpd966x8M7h5jZnNPrG86v5xxfTTk9v2SZF/TbLaajMa/enPDu47tMLifsHO2SL3LOXr7hr/7+S06vrnjnpz/mhw/fwsWaJGFGtUKpBIcOHCEvNHxPAe/LTJVjNTnHOINSGpc4ev0hrliizRLd2iFx0gMk7GOtaG/fIT/LmU6uSTbavP3hBww7WyzHa25Gp7we3cCHP6aczOkPHBudDtoZivWayhmKdcE3Xzzn+ekxhat459On7O3eJU3afPXFt9CZcHlsKV1FUea88+nb7A22GQ63oHAs1wuuLsdczw2b99pI+eI6RVeUiZduaSdja2PAbDwCjvhdrz+o3BNlKJ2FiijUhOej8V2tlPbWEoTDofDpTo4QF1ck4mIUoQJegIcDosPYq6DKNCqC7vrBCErERcyrEBZqsMQIeexBcNQuywbNLBxmf+hqW1sOfK1IGy7fiJxqspoIWJEQzZaT3kVWhxUq18iMD+z82K+a22V0mq/fEhgNMl9NBAwC3HmrqxU2eHgC/9zKFxJpWr9SpEMqmGXaBWXlqL/UF5fxhUZ0sJqgrFRMK5MiKYWVOuZ4VzQ1sc53jVMhTg42FJf3VqVXTmJZKQgxcSLhzW+QJMyUiSEHh/aENCn76cCGFUjw1Qqbufm+opsPN3jrzVd+ypIUFelZnqXtlMPpKliNdW6tXOOcdzlLhXPfdUrLtKGitRfUo0rj5NcxZU8MlFbI0otAPAjemxFIYA0lRLyLqz1RTpS73/kx/z5cK09nhRwXAQph78iTCWCtPVF1HD/c04U9J3tFEdno9Vs1uEYJyJCNFVzZgTfjwr5GQRLAt7iaAZxWVJWL3xOa9fnPBoAvVd4UoXJiogPxtz4/sv2berl+aeruj82XeBbkqnr25f0m3Jcx2Fv8eKLoscH6jJUI5ducpOiG75EzEWRUqzdEWYct5yi9h+oP6La65NMzBvsD2tWK9eSMh0+fkVTw3Tyld7TJVmsNqzkb/S5mvWB2ecL44oyTk3P2DrbYTeHa5Lz70QdkSYvR2Tmff/uKtYG0KJgZQ2EVk1LhlhWXb864vrrk6N4Bw/YGvU5KS1mSVPHoaBdXGC7OJzw/Pse1Ojy9u8OL58e8MTOssYwnMzqdDmcvjnnx4jW70ztQVEzGIzbuPeOzj/+M/Wcf4PqPcbSCAvf7VGvp4in6IYRgXC1XVVEwPXtOJOa2NtjaekCWLKiKNd2+L1+rIBoB2kLmKqaLBaaT8t6nH7K7eY/VxRXTywvOXp/w9Trjg537ZJM5B7sbtHAUizWL9ZTKKJ5/8S1vrt5w9OSAZ0+e0Uo6LNcwLSvOT97QP5zR6iqGu1u8/e5TDvf2yVwKlSVfrciXa2bXCyYq46g3JE3qYnBNY1X0cOVgc2eH1WrC73v9kX7uFuv5CgjsVkqEKCF/1itxRyC+BYEvMbTEWYHziP1dW2D1YZP4cyxYEVmlYo14RSBlQ4XkJNa6dd6KqvWXuNe8xIl56Y7gCA5xwlgAw0+kxArFPYdrCGhqwaDDRHtWvQuT6ehoE+tGd7VPY1hUmrVNa4KQqscHqmHdy5fFWYnf3FgCRBpH0g7B2nCOVBkyKlBgSDEqobQGbS0pzgMtz8PyZKawPKXzuemygfw9a6vIhri3cRZjFEVlqYyiDF3HSuMoQ0U2HRqiGBNq1Iea4DWRJTxjxFsulpOUOalrBvjDKwomxadLOnytehvqykcJgC+O00sV3Szc29Y1DzLnc2XlWb0qdECFVY6F8UVSXJqhtUO5FF8BxsX/BdhplWAllq20V/ZK1YCwsRMFpDpZO1RQxAJgFC7OgAdPUgc9vvwhCFfIn2HOtLiHPUgLahNRQzYoWDkhKu5rFxVUgAsRLAgLWU4S8Z40w/L14Fz9DGJoqCB4/XKHEFy98LWileA7KtSQD8dB+edJpTpNHHfgHsiZSlRoDhRAow6d4OoR4yEqMa6OyCAHMcIdxtnARY1XIyjnajDUtOjrD4qkk08peTzqNOEwE8oRGCA4mjKsvo/ubdDtDMnHJ9idR+gkY7hzh+nVG9zBW1TW0du5Q+qu+ObbbzhzB3z4TsGWvmZ7ewNVJlxenHB9esy8WPLW+4/Y2dnj8nzE/v0jdGm4PDvm9fkNX798zaDbJVuXjEqDc4pLnfG/+vOfcHf3kKf376BcxeL6mv9ycsa3L445eOcRbVPy9fNX3CxX3LmzyeHeDt99/orRdE47y5jczLGtlIuzKybPX3OzrlgUlo1ewmS14NEv/g2P3/sTb+xED27tRYqhx/inyKuwMx2UizHr/IbC+g6T+0/fYWvvHtMXf4W5esn2zhO0Tmrg6EA7g13OcKnl4eMntFWH5WzBYrHk5NUx/+G//orLwR7v5wuO7vQZtBasFzNW6xmzyYSzixHTYspP//xH7A93wLaYjRfMlpbpcsrl+QvcMOXdd9/jvSfPaDvvabBlSVEWLBe+Jex0meM2OrTTjNQqjDNRInr9ij9jzs9E2umi51ffP4jx9Ucsdy/wU2V9LD1suspp30DDuqiofa454HSwwEOZSkWw6JWsghd2kUQVp5mGVxIxA5xSjaYlNrqvJW9dalT7nNxbWBkIaXe1D022g0AMjCKWzzVByEU2t5fhIlNxSBqduPgFPPi82g1dsqEr0sQLEd8nHMCSWUtpNYXVlKSIoDHqtqPfG7K12vGNKnwNbclPToOEcejINPZj9pXGjAvP5CDBYJ0jN0GAJh4EYAk9tr2gU1YFi9vVHAmlfJEb5zCV/07fGMX3Xy+NDU1imi5vIbB5YOisIgnFUeI6Ugv6REwraigTMHe0zxWQUoW1qccongz5rFXemu5nll7mQwPO4TvNOUtKgrOaVgqtRLp1WUoLK5NRWnHLBgd6kgGpZ2cHgp0Q3XBeSSQqlLNEe6UtbmWCNYEUWlFxH/oz6oVXAnS0JdWGRPnqi6VNQny9LiAjIWHV3JOqzhuXhkwyt1Y1eSBRjSMgua7TIPtODp/CNoBt/VLx7nIuZbW8EBYAL5uzBnIqAG/C3naOWBApfiwC1XBfR70TnAfxKtEk2jcUiWpQ5kKrEJ9sqkYnw/X7SAkgdrcUshZAH9aF8N0CSG4RDPF2uUyXeAcFRNWPIl7A8ICqDrAZEX3hnpJSKEP+Pm5yyvurNnbuczE6xjxzaJ2gO5uo5SVFVdJutei3M7771ZesjePB0ZCBmtFiCbbi4vgN09EV8+Wco6cPGXY3mFzOMJ0u3bTL+OKCF8+POZ4u+OSDJ1x88R3TVY613vpcDje4Gs9o08a6kl6qOH19xj988TXJzg5HW1ucfPeS2XrOuz/4kL5LOH19xq9enHFTVuxuD5kdX2Cqgs///lfkuWXnziHv/+At2vMlz5eGB1t3UDqtQ0QCuho6IoEYaqpnSsUfi8UI5UoSpcjLkjtP3sPNVsymc9qrhfemyRlGgKBCdYbs37/H1kZKOVuwnI+5PD7jV1+9wGy0+IsfPWWvXbHZqjDrnMn1JaPFmMpUbO0PefvwCdvDXVSlmEzGHJ+ck2/ewVSOje0un376Dm8/eMJGu4tbryjLgmK1ZrZYcHk24atvjzG9jDuPHqGUP/8xnTecT+l/IWc8SRK2dzf5fa8/WsRGSHIVHjFUTrEymsJ400/cyj42Km5KyY8Nm1wOmMT/sDGmoGi6578nhMLyOa1R1oFOMCFtRza9KFdH7d6X5dbOYeXNRm6KF0Y6jscoiR/6b48V7VQzlh2ghKuf1wYBlSnLhq4YpiWplhx9/8HEajLtXdFW7qMqcIpUVVh8+z4hOFkBGKG4tvSszjBBkOiYA1+5hJI0uKJBCE+V8vOlQl6ytAWVkIYPGwRwEklVsoFqd2gU9tZ3FTPheuOU751ua4Klsy4qHhcAkE+P814VbRt2YVgPK7HNuC9EqIbEJ1crp1DxHYeiQDcimj42m2pFpnzN9mHboRPxIokb3ZEog068sPBhCM3a+D1tXGiE4kIGRJC3iXK0lKKyGSV1sZtbgjzE/prPkCnoZRVtbWin+Lx3q1lVOoAfn67ZVoatVkmWOr/+FhZlwsKm/mQFZSWs76i7ZO5co8kJhC59oaiM1RQN33NNJpXGK+HUuDpHWARl7byvFZ+ASAGE0a0QQ2X1qVVKVi14ytzt+2NrUCuZbVFUhxCDCm9Gcq2SqpUyGhf3qAdTITwjVp6r91h0p9/iEXz/1dj7AgbqbwKIoEscT/5KF+emASuiDBESYPPu9Zo0RmLrKaUxSu/xsrR37mHf/JKqXJMkfbLBIWr8ktV6xiCpuDr+itZGj6f3H3K63PYWab7i+PSM2fUlq+WUh++/w/bWAdPxBLptBr0NJuMbnr84IdeOf/3nP+by9QVfj5esSq9KpsbyyS9+zHuPHzG/GrE4PeHlfMFyMmO+LkgXU9R6Rn+jxTsf/4D1fMnZ5Yi//Ouv+OvffIfKUsrScDaasLIVprAc7G6zudHl/oNnzL57zv5Rl+FgOxotwjfwfwqMCvyksD8ieAuzqp1jfX1MZVcoNO3hNpsHD1jNnrO6WXP94lse/MCgkKyQsE5akfY7tJYdbL5ifHbBzSrn7OqK7l6Hf/ujT9nde4zVBaryqXqrfI2tKg7vHXDnzgM6TpOv1qzXOfObKWXWorVzH+dKfvCLH/Dhszu0raZarylWS/KiYHQ64vNvX3J+NcJlmkcP32Fzc5eiMuiQMRTTaq2jziqSXecY/AEN/geVuwVKfNOPwoKzGuPE+kyoLWARAiLkVCDwqKh0BSlbOeCNTRzJ19+Lvd6yLMT9JgfaERnt8ajKYsl4VM3Ql6IHhHaXqnE0Vf3xiJyb8W4csS0kqraKvRC3bFDQ1SY0iPAjEIEkCyLkn3YgfRGYnNED4ZLgmNNx/BpQzsT63ZlypLpCK592Zh2xqr1YEH7N6v5VDgfOu+Wd9sojJTDTwxNaVytkn/WmYjxW7A2fHudCn3AXrXWvGLw3QDwgAgq1Ski0C/HDoNrFrRyEsg5M2CSwQp2TcrShKl/TrAsqVVQ7ynsF0uABUBgSJazapkM2wB8lucN+AVMNPeXHIMVdjMQrlKOrK7LEF+fNLViTSLQ4Kg9/T/+ODlkd3dSy26noZP5qraRCnqM0vnb/yijWVRJSTP0erIJw76YGV/p2qonyiqEMVYE0Qpq0ZIkLf+Prtet6bo11rCpDVepYA8IEoaZU6MuAJbdJAO5ynmS65YTIiQozqsBZOb+1RvbH0wPfWBJVqRDiqQ9YTXGrwT2NuWwSUuO3h30RFX5D5sRbR2PPX+w9iioiBwFrdfHX+qnkS+JdGz3pJf8/PkOcm4Z8UHUM9zbE86mUEoCsOT6uMSYlqKcuYw01f6nxs+5v0UrazEfHZAfv0xoeYIqCKp+SU1Hka95/5x2uzsYs+08Z9lLsZOULs2QZm/ce0O+mTMdT3rw6pWhn7M6XnL45xrbgpz/5MW4058XzY15fT2hhMNYx1Sk2bTOZzzjY32Jnu8/u5SXTpc/pnqaOwbDLdn+LYlFwdT3nV5+/4G+/ecl4saK30eP4/IrB5oDD3S2GGz0Gww0GGz12tgZ8+C/+jE9nhr/86r+RffjnZK2NALLrXSDSSuoBxD3kwowpcKZkdXOFsSVGObo7ByTdTTa3D5lPViyGCwyWLOxjHVYtcQa9HmPWMxZlzmy65OzqmiUrPv3xuzw4uMts7VB2xWpeMBlfoLqad599RDtNyVRCWRSURcH0csTJ1Rh99xlpa4+0N2G3NyS1jjIPLvjpmOVqxfHLEwpX8MFnb3Owe8BqnUJ7i3UezoVztYK3NKK1wUukLFVV8Ptef1C5V5VnI5dWU1pvQzq8hS7HQ5D9LUUcLHpxf3jGvA6lFr+3WKhbCljuqpwcGhc3uv+krq9BlKM/+U2XZUTRtf8tEs+8WxFi2ourU3xqWNEUaoCzccL9KCwdZ8iUV/DaudA5S3Kw/b1MuFdLgU3koNaQpHIKE1MzVJwVL+hcfMeq2pXohY1EnmyYBbFeJBbltfMaR2UTtHKsrSXRLlb9S8KsCzo0KM+jwMfmE1XHNH0hHF/y07cz9SVslYIMJfIsrpDWiixRtDMVlI0XUJlWZJmfVWP9R1KtUNqvsbUKZaCsZI94y1J6Xkud8MqrKTIpV9xIITPhgWRXJsqnkcemMTJXDpSGzFk2M8dGanxcXkMrgTTxZMh5qXChQUNpEwkMxM3W0o5UVWwkvn1pv2VpZ/XesRCa7GhaiU/tS0pLN/GBpCJ0dlMOkpDR0EoM3SDIrIOO0yFMAVkC7dQrdw+kPMjJlPc6FWENM63YyCzGKtYVvp490E4JvdP9ensPjqKyypeQVdKhLgDkqJtVBL9aSKQhZOAcOFMXfxJ3dlOF+yPdcImG+anPXTxyt7wTYqE3/y2XRpiuZOfVCtQLw7DLJdQVz1AYhZOvquF+3B/KhfPbkG+q3kcq7PYmD6HJG1QqSqFb5N14P1cbHY3gZAi1EZV+tFBbPXobu6wmp5j9d0j6m7RaG5TTM9jc49333qcYn/Ldi9f033tAWqR0BgO6ug/lClOuWM1n/Pq/fcHJfMZ7H75NsZrT2+zw4btvUy0Kvv76BZ+/POVkuqST+b2U7QyolmvePH/DGY7ZaES62SdzjvFqydNPnnFwcMDq4opXr0745Rev+ObVGUVpKJ1jsVwzK0qOjvYYbHTp9LpsbW1jKkNlC5xS9Lopn9zLOBk9p9j/CIeOXftU8HooJVUPJBAb6oQEWa5XObObCypjsErT2j4E3aZSGSunGV2ckZc57awVqqZ6T2xSrEmWFyzmCxazCaPZHN1N+Nm777O3sw8LGE8ndLo7LJ1juLfFYHPIRreHKkvK5Yo8z1nPV1yPpszTHsPNpxjbImPJ7rBFlRfMb264GU359psXXC7G7N/b4U9+9HO6qkO+rEBrVqSscq/bCMRBq4ToHDxnys9Fi5KqWvH7Xn9QuS9t6EjjxD5sYG2l4sYXi80q+Z2fbNnYwvqLG1WOj1wSTmfT1Rr3N2J9+re1MOcbQiSCgvpjXliGzeAUNUFLebakV2vBfdgYWiTJuBq96+hT9HW1VVQ2gq58bL00QT07iRMSlKJXpHLUrXJ1RQ8Cu015y/57vgjq4gx+ssogJX23IKJHQza6QjdcfX7NKjxQKElQphaSsdtYWB7/vmdWVISSQA6c1JINv9fakmFoB0XkwkYMqphUKdJEhxrzjizxTvVE6ZCO5xWCMT4Vzytev05Gee+Q0VAZD11S7eikfmbqCokBZEgOfeUgcWSJT91ryFUPLl3TQyPi1PkceedrnCcKWlr5lBvtmfeVA+0sba3o6BKtS1/uGBXACmy0/BjbqQqdCmVfhcpaAcT4Jki+lKy0Aa1Cvp90sIsWqiOyyL0XJYSylKKlLa00eDuiqvQAoTCOVVWHvUwgOba0JgvzkUlbXGuJlbkVtJSjNEndbElpdJIgJXfljFhR3OGMEfa59HN3YTeKl8HhjYS6TqK/kau3aUOniyJvqsLbSr0pM+qrZHcS4X/Q+OEj8sxy/4bHMfzDi9SGV6+ZkXLrVNbvS7ql3LE+Ry6KPBdnpGG5u6j2/R1V00hyMZLY7DxHmtHevMt8/JyyKkhbHTqbhyxGpwzu36WYLPjL//SXDO/e5dGwQtsVSZpwcXZKtVxw+eoVr968Juu2+Is/+QGTs2uWKbz1wQdQOi7PzvnbX7/gH749YZJXpKUnyr79zj6f/fhjhmmGMjmjzPH65JKXl5dUrZQHd/eZnV/y5tUxf//rb1Abff71X3zGv////h2nkznzxdpzLhLFYHvI0f4haV6yXK/I84L1coktDZubGxSFYuIKHAmJLdB2Ral7GN2lWfq5mWMkJaDN+Jrl9MqHQbQmGR7gVIvO/j3WS8fazSmKFUlrg5YOoSzncPNr1uNjlospq+UUlxZ88sOP2e9tUS3XXJ6ds9ro0VHQ7nTY2t2mozWuLCnzNXlRMR5NOD+54ovvXmMePWHY6rE8v2a/O0OZnKvLMWdnF4zGI9bZmp/+2SfsbezSUm2UTcgXC+Y2o+xnOJ2ShNiTU85XbgxnXwzWBEdiSvjHKvfS+sIeUakH2OtU7apy1Nox6m/kGr/ZGxmfQah+z9KPx6zG8/J7Ff8gusLtrc/JwfM/N8VHtBhU86f6Zy1nX9UEP2VtXebTNdBSBAJ1c0vwOrpwoKzPaa7roNcAIsGTEsVt6605ryAKpzEqQU6zaoxUXNdWJRgFlSTOCEFHMgoacQVfhlGsmHqGm9BKsO9vLRpES0fkoriC6pznhHZiGKSOVkogSCWooBx1jD8rEu3beyZa8pYdSeJBT1E5EgGDQaFVzhP2CuuwLgXlW9N2gns81f76KgSIPWHTgbO0U8hSLc3BgjINz2RdILyrW3Phrbuw+wIg08Erb0Pb2RRot1y4jU8NtPg6C2noQd9KVOBYhMwAfAy/tIpl4VvjJiEtywX3vK8AqHxWgaMmp9rGGKP5HASYdrQ06BBe8cDW+ufTisJYyiqscgjbRBKrnFEcZaUiMPUgsbkrDFkkMIUNHQ6K93x5IWOdQlnr016V98CFgsYB/EogJnjvAqlOmq4Y5avxSVjG7xjVAJHh/6j4G5ZAROPiYbiteGtYHnV7lBF+yzfi44rY396DKV2DgwDoVcM4ABmia8AA1fh3/TuxuOUwyVWi5H1Rn2afuPq5/djEg1m7qDtbe+izX6LsnLbKSPbuMfv1r6lGX/Kbz/+Gpz94l/2tfVKtwVXcnF+wnE8ox5eMry/Y3tvgo48+ppjMWOUF9x4/xZWW0dmIkzdXPD+5ZDRdkBvvJxpsbvL+e0+YnV9zulyxtTUkGQx58LADWcbg7g4bleHrL79hNJvx4z/5mPvbO3z5D99xOplirWO2XDPY3uTB/bvc398nUwnjyRVus8t0MqZdFWzu7FEtlsyur1Gbc1ISumpJV1Wc2T3KnY9wLothpeZc2cDFmF2eUlVrvxONYmPvPtZpkiwlny/pdKFa3pAO92KFSe0sZjlmvRgxm95gdclbbz9ke7CFKWC9LjkdX9Pb2iBrt9jb2aOFI7EVZWlYLVacn11yeTNhdDGlKNdsqIrMlVycviLbG6PnBVfXYy5HIzYOe3zw6F32tvdIXQtTGWbzOTfzBdnuXUzWQWWZJwNbhxEDhkYtEBTaeo9lu/ePLD9rnY4Wcix1qQR7ygaVzdh0nTdPVcM6VNq3e228hLEdjDwk1l1HtWrB4y1w+blWhPEl51HQv9L48p11u9r6jvV96udxKB3Qf+xv6t2XInekeArgPRfi6nUNgdgcE44KRx4swOZvvfKXJjdE6yGCpyjofImG0Frdu/vEKoiCJv4SqT6OknmsZ1GcBjrOQpjLaOQIOgxz3ThJymkyZegmFb3MBiXjFU2iagTtXcWusVfCtyhPSBLFhBww5V3VkiefOhut3EQ5WqlX7ISxp9qF8sNe8SUKX6oxKBqxgj3OEBXjQp17if3Xe8UFpSvIWDmH0gS+QL0XrXHkld8P3cwrzMopnHF0U09+Ky2MFoZVbtAhKyIqVueD6lrJ/YLbzdVu43qH+n9LARhRflka9pRRlMZSGoU1NqQb3ga6YvU7QQqqeWYkNVE8ULIXfMVJh8NaRWUqMAJIQxw4dJTDObSVEJIHPKLUxRxu1nEXQl3lNChxu9bnJsoTVZ8OUHH+VOPcCos4ngNqICovuV72XjOeHwmBYajRhBH8EM9Pk0TZkEXyHS7BKRuAtmp8c0OuIeDKDyLh1jBFzCBk3rqSH3VGQJiTwc4+b/Ict55Af4e0NyQF5hfP2b9/h6O9Q87OZxxudilXC8pqDcs1s/GYjYNN3v/gU4rZmtE8587DIzJnmZxf8e3LEy7mN/zgnUd8++KMdQDaa1uyvb/Dwd19jmZL/v7v/p6z2YzpfIlRin/17C4Xr15Q6Io//Ys/QS2XvHp+wr//y19zMpmxWK0xzrC5vcn25gZaGaajMafXF2Rssy7WtNq7ZJXl5Tcv+Or8mg9/1mbQ65NUlsuzM6qNVliPeo6bAAvrIdPq+hRHBYmiSlI2dw49z6mT8PZPfsrf//rfY4s5rdSC9fsvAdbrNet8QdrR7N5/yL0nH1PcTFhNZ5wdn1G02xzubLOzs023lUGxIl/NmC8Kzs8ueX16wiJfsbE14M9/+gtQ26zWK25O36DtlKUpGC2mPPvoMfeP7jHsDNDWsVj4/PbR+TVlmuKMIm33SJIUX8jLBS9iMFrCXhHjs5dZht0uv+/1h5W7mDE0DpCScjHcZlYjbHU5MCJeaiWhXE0aaZ4FqQKmwqr5daudWOISc8pbpPKuQtRaLZilrKR/30slLRsiHrnbB0sG1AQLUvDWVz4jpPM4aDC1K5yQuqm5sPL5ILgaEsiJgIto3o/yFj9AhIyqbQPv3hdppiJJz0lsvvk0XjsFi4AGqFH1HMcREa1/WT+ZAT9E3WAFW1qqop9U9JIyEr2U8tZsvG8Ym0GFlCvP9JTYGcFFbWxoBuS8SJNBxSYoOJQywRugQv5yaORiQ9ex+EAeYsYsBmvCPNWAI0tUiHuHndPYu5GkGX6yANaGioz+8zrkTzvrqIxlZRXrIpRgRdHJNO22/451bjCVo6LAETo7CdnSeYATQzdRsYql21AICEAKFrAj8B3AhPHlxqf0JcrnggsZUYhGKmqsprvaInUDJBPRBYXiwobSaIz1KYDQsIaVwob8Wx1cLiIPmhVjauKbi0oU54GndSqEQVQ8lE7XmRwR2MeYfe2H8jpZQmu161uFjdU0MmRZJcxRW/QiNeosExff9XtDwmMOFbtaNkZQz6SQgJ30JqhZO/Lc9VrWZ02AV1ileGeUjNPPkVzjZavDZC02d46YnT9ne/8prt0j620z2E64M2jx5vlLPn9xybMPP8HOFuztH/L85bf0troc3H8ATrHOcxbOstnpMZutODm9IncFv/jx+8zOpvzf//3fMMsNOm3x8Yfvw/WU/9/lf+O9d99m99F9sqsRV1djxmVOsl6RdBQ//uATisWak5NLvnh1wa/eXDBdrbFA1mrhrGUxX7LR7ZOvcvLS0ko0+7t7dFC8/voFf/N3nzNRmuV/+it02sI6S7ulefCDt2nrep/ImvkV0mjt0OucfH7lrXij6WztstXt0tWWdqJIs5ROO8WU61DwyAXZVRdOevjOIwatPvnVKetlwej0ii+++Y5id4u3hlv0Wh1sachXOcv5ipPjM65vxgx2+3z81kcM2gOK3HCda2xlcHaFLXOKzPHpTz9lf7BJp9Uj0xpTlhTLFYtlzrpypMMercEWRmfeiAlgO/JdVP3UAFkKWz3o6n+k5e4PkqgsqRwnTMPbG9NvwCBc4yZ28R5x89IcbC2fBTjEeykBBQHVirJT0OwzHvTFLdTdgBW3rJnwjXHc4pZXrn7/e5chatuj52Bx3YIXKsaubRTP/ndNT4d8p1VEopwUoqk/40GFDcJLdHVtXsiAo9i8BShk3M3oZm11yBzKfMufqnZ9fk+INZ2dKY6uqujoyleei0zx/z9p//1r25bl92GfudLOe5+cbg7v3ZerXnXF7ibZXUyyIFISLBkyYMA25B8M+0/x32DAgAFDsPUDIUgk24JIk60i2d3VXVUvh5vPvSefncOKc/qHmda+VdXVaO2H+845e++11gxjjvgdYwjddVDh0uIEdc+A2T/lJoNtCqOtVivcvcDVtzYhDBEgK13vKww9mtv2f3eCQCkqESAr5dzvCEyMvo4tqHdaM3RnQi1CeKGrx+cjuEoJQoOwN18wtR102CVX+rlRqGv4V5XxaKMLAbk0T4VTCJSycFArjA1NCYXdKWvtKhRKSmSBA98JFM1Q01hkvBQSnbaon6uVEeUAsGDz4WtkqZUFJaikSeNEz6uQNWXUgmFd3I+1A6008eqzL7T1b+9tZyZRLssDZYCOwiiYa0A75bIbsDFtsX6OHc3Wj61YeyCucaS5wCtz9p+t3GHSQs0hqMdzbcFpaeZnP3B3U9bVbt8398MqTDZEJ9zYakuKVfgsSMQqN5YXWOXc8g0I6e7c5PrlFxSyJIlbtLq7NMM5V69e8fryjO//8LuIfMFgY5P5+QmNQZOtrUPm4ynXs0t+/tnXPPre+8yvhjx99oqMnB9+/7sUk5R/9+VzssBgLaKIdz56xHfff8ToxWu+/eJbzs8vSDpNhienDG7s0ugkHG7eZTXLODsd8uJsxJ/+1TdczpbkZUmUxAgpSJoNdvb2aUcNnlxPuRxPefj9j5hdzvj2xRd89tk3fP3iFd39Pf7g8BYXz57z9Ow1P/1f/QOSpGVwLJWXJXbZbKgym5KnY6ogoKgkd99+j04AjUDDzB88epdP/uxPOH31nPff/T6hCLQnDRAh9Dd7NMOEfJWRZwXXl9d89fkzPj294r1799naOEIVktVswmR0zbPnz8ljyY1Ht3h49wFBDovpinRZkAc9puMpq3LKg6Nd7h8esb0xoClCsjRlvswospzpbMHz4yvod9moCkpiUIFrgWzZvjmgmvpFCFR04gWxXJCnC37b668V7nUhYgnS/fPPrwkMK87tIfCasLMiwLnXHcMzkscBdPAMxB4yoUC5ILmpDWw0eysIdR66BvbZQQSOk9eEoXV3KyOE60qFU0qMLV4TfF6MKm+Ve3+2eaJ+jovTm/ft4XfWsbF8bdijHncLlXD5uNq+8FaVxw94qI3dg8DLNGwmQM108HumlNeE8L8KpwWwtuFasasIXBlb6YSLCLzyY7fHVlazDE2iTL45jle7FEHpgy9WyHnFS6HTBTXwzPLWSkoqZeGDNeXJtIUVZlLWsyTNfKV8I1/UrZ6hD2HHVr+n8a4oBbofDGGgjLD3axwYhH1gChxEpUJYwKBRCiurzCjL3OtWn14rYVB1tua+tQgFuqez7fqnwwaYLn9aaSlKG6PD5Fdjck8rh8AOhEfc2vnpntmGApUwvbNVTU7aHbIvS/t4b5w5sLY9sfPQ1YhUGiVCCYzVbuZvUfFGgNWVfPuSZp3A769RhcyDrMVvlIB6OAne2HO/b67ddP0wYfmY8ILdTKZ+napd4o7rmsZjMw30+lnF1RcQ8rF6YfijVoz1S/d+kG5wIXpf494ObVGSzkcknV0aWwek819ydnnBBx9/l35vm0qWrBYZi9Wc/tY++WrJxesznp1eslytSIdD5pMxQSfkBx98TDlbcnx6yTevzlnkGZVS9NotukHAX336DYeHO9w62qWXxHz57be0Nvt8/HsfcffGEaurC64vx3z21XO+eHHOeJGSFQUKaDQSclXR6/doJzHnL465nozI85InXz/l8tkrZosFrVabSglmwxH/5l//K8os5+5H32fvrb9Dc3DX8Bm/sMrwce2Fg9X0mqKYUakCFSV0tg50P/RAr3sQxqgoIjLNrMJAIkulK82pjEZ/mxJJmc1ZTFLGkwUTCv7hP/kD7r/3fQIpWC0WXF1cMllO2Tza4vDogHazTURCulwwnUy4mK1Qh3eQQUZ/0OX20RGDVpdAQpYvSbOU1SLl9PU5Z6cjHp9ecuO9Oxwe7iHjDnmlqGQByoTvLP+1oT1ZEYiMlpqjspTVYvbrh8W8foflbg+TPvTe5e2dIk57Np+vywXhGITAl770faZV7Rl1feBNd7U/NwJ8ARajIbv8ULf7VjhbAqhF8msmi6wJOF/xUnmtuy7O7TPAHXJnKJhniNq59iOpH2F3ByzXsQfbCkKLPna3Mq5ovyM1tIAAoWpIZvytnRJhlRXHfPVerIUIA+0yt5aLV42sw1sX0rGC4DcKZ0cIumKd5mLS7b+SdeFm71Hnh6bTmvTentAoCUIohBQuHc4KRISOC1pq0QqTdTgLpwh4PINyrnmfFqfvHxpasTn/ZrWMoPVro5uRKOP6FsRRiFIaKBhGATYvNTTgEmXOgM46sSUk9eRdqEk5n6Nbd/GGhLM4xRCFCvQIo0CQRDo0k5cSWUmECAhD7xxW6CJENpbtI+ume57CNOhxVKUBflBbN2rnxvZG13Or/AgRDkypQwYSTKc+q7R55U9XXgywH1hR7Tw6tfvW6c1RqKzF4k3Iz9OsPkBK2Mp+5hkCbKVMH6IyivQa2FK4f/bZdeyKDV14DccNtYb5CZwXSKDcPz/L2qUCg1cwFSlF/ZRjFBfPVaPWgCRusphc0enusLFzyOziT3n0wftUuSTLCuJGyHh4gaBiMZlw9vKY49Nzbty+yY8ObnJ18pJFr8mjR++g0pLjZ6f82SdP+fT5CauiQgrF/uE+nf6Ag0aTv/rFp6yqkrLMkAFs7e3w3v27rK7OeP7iNd++PCNq9/iDd9ucvjpnmRdsbQ+4sb/DxcWIQClG5xd89tW3RFFEmhc8/ua5rijZb/Px9+4xvBgStRKSpMHG1k1++I//t2zf/NAZBIFRfHHb5euTphcvKPOlDqF0OjQ7A92tFF20qrezTb+3yfNPfk7+0/+MmAbZcMjnf/5vCZopnU7M5uYWrb19mjsV2xsjfvDWRwz6TaKwTbrImA+vmS4nDHYHHO7vE6EBfulkwXw+Y7VcUcZdktYuzeYl7713j0GzRWB7uM/nLMoV1ycjHr84IW7HvPP+Lbb3dimzHMKGNpzQjE+TkuUjVkbovqkym5OqJVXxt0TL2yOM+2lIX9l+2UbYghP8ViuuHzYnGI1gsUVD3GHHWho1a7Mmsuz0rJVsAScKnyqiBYw9XT5+aYVOXR3xbLcmeA3zdp3P6rP2RoBbcHtcvRjBuTwts6LGBP0mCXdY/agMc68JSOGYR90q8AqVU56MILcNdOpx5DrY0a2JqK8OjoiE8Kl61oJw1oRVENCxoMoYE7p6od8hgXJgPSdE7FopDUCspKlkqGxfAjtGIwyUH2to2s8K0+wkEMqB3FzNeztGJyTMvd3y2dl7GnS7aWnFKlOOBkArC1ZY6IFKaRVGsz6GwYD+bJUbKKMRppX5vTBfq2xzEHc2BLa+QRAY9u8WRSt6NjboYq8CXXvd4BDseIXQcThrlRvdikopCncufBlbG7qwBW6s6JBGMLnxgckACKiDafUXAkN/ekGECI3yoxH8hVROmbOUG4ahyWoIfEEr87LAVUdRtc9d6V5l6dxSm2CtnKgX2W4/HUUZ76At0uQPlZ2X743nuI+yxU7qVOTHsTZe1BqAEJRpBuQV5lB4erRj0PRr9tfyT3P+VY3P2qc0O12qMiLKhoDuZ757cANWU168PuW97x4glGJzc5PJq2ecvzrm4uKM9z5+xHZ3k9PjS7JQcfvmHYpZysXrc16ejnj5+pLJckVeVURJzA9//D3kbMFlXtJoRswnK5Yr3QXt7XfuI2ZjXh+/5uTykvvv3ebuzi6/+tmnnA9ndLptDva3SaKIMIgI45A0K1lVFaIoQQjKXIPfwtWK6+EIIQJWixXbh0f8+D//33Pr/vsG8iEcvxCaUDQORlQIpYirgunVMaUsEGFE3BvQ6Q70PgpNJ2EjQQidgbNMV8RBxOTqirOTY2SYESUh/W6HIlsRNxoMNnqISqJ6Cd0wYjQcUpRLbj24y9bmFmEpSZdLclmymmfMZ1MmVYTcfYsgaLO51WVLbEG2JCszLs4vOD07Z5guEQoO7m9z785NOnGfZSqp4h5LEhSR1TMRVL4GjPKSohHkhLJguZoT19TrN1+/Q7jX+hOLmvAIAt+bnV8ThWvvUCNMa63r94x1bUxIKyJt7Eu542K/jcmn91a9db/XsnWou87qmk99HAGYpB0vxKwwqCnh7nO7EnVRaRmHH6H3D6wJabsyFlxjhGVdfbHNNFwMH1uUpp7WY0IQwitEdYajmbq5rr7Obix+j0LDWRyDUdaVbkW+qTZnxmVR6aV5krZ+jdBR4CFAFsWu2y8KNy4rrrWlby17JfX7Gi0u1kZpG7voojvK9ZzXElyYeyocoE8IE6sSziK1iprdEwdErOlRlnFri9HQotL3Np1u9fo497eqxf2USSMz86sqs0I6kKHb21pvhZmnCLRiXLsPBMjAFseRRFKabAO7bsKB5CoFoalkVyJdAyVHy0IRBHpWlRUQRgBKJSjrnhOzGHVxhOnkqDcucAJMYcbn6MZY6tj0R39ehQgIIknDuPidBSuE7tEuAl2EyO6PU3b0M+sy3yqPNlTisD4CAunXL8SRhT+7XoLWwgVmtjXPTe3hdhW8kF9D6pv9r32/bjY4ajPnSR92U6XQ0JQjYzwvsyc6cFzRP2DdK2dAsmHE9sEtzi+eE9z7Po0kohlFPPv2OVF/QKfZIAkFzFZkiwlZtuCD3/uAje4mw4sRaZhweLSLKCqeP33FL796TBCH3L65yy+fvEYEIbfv3ODl0+fsffcjzl8cc3p5rftwBIJ2d8Cd3R2GJy+5HF/z8Y8+ZKvV4/j5GZ+/HrJAsbOzTRJGev8DaDVbnJ1cMFtlhEFAu91isVhSKklVSVbzGZv9NquyQqRzvv75n3L74Q9oBwGBaRtdKr8mSShcnXm5mrMYn+vQk1LIRockaVFJRVpq5TVodtjob/P8/DmX5+eEYc6r51+zebhBHIe0mjFxHJLEEYFSVHnOKpszH89YdnpUQcXNB/foRQmhDJBlAVVFvloyGU45uZ6w2LrHweAGYllQZdcEzZR0Mefq7JTnr885Pz+ltd/ju9/5iL3+NoEUlKVA5hlZGFOS4IG+UoN6hZc5AohFRVNkqDKjTBc0trr8ttdfH3M3hGdtzNASvfLYEk16/i8d/1bGurEHV2GFkxMDNTewI2Xh/woc2MjHmVkjdFxTGDuuOtobZRDVWBDbuvZrrV4L7gmEZ+R6RjZu6AFVYF2KXjjXFYT6gVSO476pEOifzrMh8Fypton2u7aUp4/BeyEYCoXtJx+Yqen2u4FTFTSf9szRftm2WnXjgRrmwStLltAUoencpoW8MvussV/mXkpXfELZUiBKu5zN3Or1tYURptYNbnuL2zUw5G0mpaVsiEkbExBUyo3b1rGXRpjYWgN6abXAFk5o+32TtXi2Y+bKx5pLk+KnwVQKEQQm9muVBIEFB9p72HnrXgJ6ztbNLZUFXQIiBGEtReFR60pRGZe5BVtaerUlfy36nsqfRysEolARmVnpDn4ewCdNWEC3q7WUaojJeBBcfQq08Fa2MY7wYsbWbgerSNrTrxUWJRRK6KqIkd1xoSxEEq/Ue93b7rc9QRYw6RHo+pPKAgKVXRX9skqOfTnFSXneoGrfqXcZA+FAuk7VEf5iR0dYi9/eyDMMq1TbM+SvsRukn6Hp3YTxUMSB9jmXSre8FmYNRW1hbFdMH2KUbN24zezqSyI5J85HvPj2U6pWyAfvPiJfLWn0Oowuz1nkKbcfvcXGYJvVbMVMtNm7d4vq6imvTs54+eqEO3cOuH+4y5/8yZ9TSEW726LTadKME7785AtEoJCBQhYlkYCbN/cYvX5GQskPf/IxZJJXLy/4Nz/7hL969opuv8vmVp+b+3vIPGcxSxlfDLk4OaEVxxRS6s5sQlCVknarRTMIiauKVr9LtUh58at/ifwv/mtEPMB2ORRKm1g286RSEImAbDYizxaIQBf26u4cgQrJ8orKYGIbQQNkQF5kzGcT1NYG8/mMTM7ptJvG5R/TSmJUWVHmJVdXE/qNDaoY9rf36SRtQqWQVUma5qxWK0bDGa9OL3l9NSHu3WRfKRZXFxBeMprPGE3GDM8umeUzPvrJ+xzs7rK1eUCVStLlnMkyo4pbxO0BSwKc+LThB006TraFVJSLKUU2pbPRZ2Nzk9/2+h3CvR5pwv3mHNJCD8LGb11DF3fIlI/bCR9Hs2zCxX8x4J/64TQnUTOGdQdz/VCva/3+p3dtKJNe5dPT7KMchljUZliTrJp9+ZpV9d7gFviz7iewjTLqyorXxt0zndDX36thmQ2zreMFzCfCWrfKCGz90jXcjLg3e+BiezUQgPbMaibrplhjzG5Yhjk5YWfGroFY0bqCIvS8pRlvILRm2Qh1PXwplanap+mg1BLOqTBOMRK6IEwkdNVDpTSgq6q5jpUJBYhAGAtHGsvf0oH0QoNaepa1mJ2CoxUOa6m/ORpVo1n9V+AZtpSmU55WFKT1QAjA9AnQCkSAxCi6GAVG+F1GCIQIUUFoFCEfVlGyosRbJXUlTSGdJwClUzwl3u2tu90r3w5ZK/9O4ZFK6YItClRQqzPv9tL2RBCIIEQEkadTw2gMZXlh6X4aTiF0VYbKUxSWAVjlx5KfvYEL0dWUNadoC8937C3tetizZt+vefXXeAlYXE7tADsCN+NSNvQhavF9n3XiMCrKdtyztSZqQt8oY3Vlwiom+sgrB5yMQ0k3qnQ54lKRVrYLouXohh7EelMrZYR72O7x4N4dZHrBcjIk7ra4f+cWotJK2Xx4TZYt2Nnfp9ntMp8uefHkFcXuQ7rLKecvj3l1dcW7v/eI+0e3OP7mOdMUGs2ERjMhiCJm0zntRkIgS1RVUGUFqyLn+NUpbx/2uXXnLnKZ8frVGV9+84pPvj3m6fEpD969z4N7N2nHEdNRxWDQ5+T0nAKFkhVxHNJMYhZC0EgSghCKqqRRVrSSBIjIl2NkvqTZ3iSQuklVEHjWWceQzEdXVKogEJCWFQdHd6ly6bxFgQoJ4pju5jaNc0U+OWdGmzRdkpYpSigazYRmu0V/c0CkoMpLqrxERgHtZodGEKPynFJJyrxgdHVBWpWcvL7k2dkJ2/t77G72EemS+fCMMjxnkS85v7pCNCQf/eADbu3eoFhk5MuUMquYTeZMKkVTJJQq0gq/CxFZWvc5WAKFKHKybMHWVpd+s0UcxPy21+9MhdNMo66f4kjWnUh7gMwAbFKHV5Pt/UwLTCu4jRbrhaTVVo1KL/QxsVqMLaKxpgRg41rCKsiOAfnv+J9OoNT+efUcq6U4ZuYEvah9BdaYG+6+pnEG9YCGFb12hvoqn0qonBJgiXVN3AZgK2qFJi5u5LgD34TuTnYeNZXMukuVcspJoDxmYU0pUusWewhEotR96iPtJahkWAPVYeqQa6bUDBSDBBqxLo1qm8xIKVBKuhh7Wen1jAIIgoAgFK4ynGWQWVErGat07Nh2MgsNQt8WMqkk5KWOkdsCLEoJX4K2ZmFbl7sr94pnwM5yNFpoIKxrW6+QpQFrYyp7jXP/21xn2znQOP2FIAh86RIp/F5bTd1tahgilD1Bkig0NKEk0lavU6EBnXlcg256I6hKKEqj7Dhcg6l4YNfATCEITMMZodZo3Z41izNbd9xbuKmoKcX2HAsnZFHCKyxmfS2yXj9f1LVaF0LBKhCq9lyXQSCc18F6NbwY9mfGKvL2XYEikJg2s/auhksoi+GpRcYter/G7VzYxiyKcMqAFtrYs7nGYfR9ogB6kXYtz0ptnTUjRTdBK8GhoG001byCZWmwGQhjjBjXvt5F7UELEtobh1T5lElVcOfuW5ydHLNz2NR9A/IVve0dGgFMhiOOv33G//inf8Z7f9wkuloyWU748ON32eoNuHh9wlVece/hHZ6OrpmXknS6pGwkVJWgkqVTZq+GM2598Bb37z0gG13z8sUJnz5+xSJVLIqcg9tHvP3WHZpRRJamqCBka3uby/NL5kVBGMcMeh3KtEApRafTBCVoJQmRzKhKSavRYLUUTK/OuLFzE1EqJxJsqqW13lWpmF2eIUWJrCriwSbtwa7GBZlzqCpJLkK6uzfpvm7RCCUijun0erSjmG63yfbWJtuDAYGUXJ+ecfLymMvFjO/94XfZ7LZRWc4yzSiKjKLImUyWfPP4CWVL8Id/9AOaYZc87rDIlqh8RFHOuJqP6e/1eOfRQ/rtPq24QZAHZEXKcjpnmlaUcUK712MWNfAhVdz/6uJOAEGo6G+06HWhISJjMf3m1+8E1AmjSerzWhfxni2uHQorn53Q8ofP9+mV2K5x+oAZRqFcywQvXF2Aui6u1yck8PXt3SOEvlbfwjDbtfiFZ2TePeevCWpKi2ds1tVrdRq1rheAv5MVpHbENWvEap4GK+I8C54teM+IXQuBX1vPxryVoWrzEMLbC7J2jZtR3f2tNHO3jWQiIZFKGsGuSAJdNz0K9XgrSt3TXZlCNQSgAuJA0kskSVwraiM0MSJ05TkMU04Cq0SY9ZS6Zr4tTgKQGMoMhKCUiqgSBlhmFCeF6zYXBlqoG3iVnpnyNBjaVAgj3C29hYG3kFzznErVICq6YJGwhTOEEd7GzS8MkSojHLRihwuBiECYdJygZpWZuvKmN4Hrf1DfG6EIlV73ONTodKkCilKXslWGbWklzoQYDBVKKZBSI0psRgloZhiaWLywVSGFBstZz9maklJzva+FdIQLuKDMmZZolLxnSvpKD5CtKdZ1y8TEzD1D85Rdv9YdKOV5T72ioONFBignwZUXDZUVvnZ5tdJkq5PZ51vvQW104PbFKwnavW5/tzRqeIqw19gdUcShohMpGoGkMkpjrqAZCt1xUCqXsoXSioBSklxiPFf6vTjUirySiqzUPQtSGbHZiWnEMcPnT3h5csbNB2/RFAGd3j7LqxOmV5ecPH/J4xfP+ckffkwjyJjOhtx69IC9rR2G55ccn10S7t3k4x/fJitLPnnygkxKFvMFVSMnqCrSrOTVq0vuvn2Lf/T7H5ONRlycXfPZl9/Q2thgr5/w9Uafm/du0e90CBW0kgbdruB6uNRhKqXotVrEIkIGJSIQ5GVJu9el00gQZUkuK/qtFmWR0Wq3sGaKNSjs1khpeGqaMb0+Iy0ySlXR2z1CkOh6FwKkKQQkKmj2+7RaTUhnLMYjLi8uaXQDUJIIQbZa0W03iZoJu0d77CT73Do6IqwgzzKyMmV0dcU8XZBlObcfHbJ3uE8nGXB1OWfeCZmPx5yeHrPZydg43Ob+nZvs9Ld1q9cqJSsyVquU5Sonb3Xotnus0hLVbq4bpkEEKkSoCpR0gPVWoug1E5JQQVaQlxm/7fXXCvd6yVZL7NZlpNBuYg+Y8udQYPV7UTsiRhAqI2wtEtSU5NQHWzr0MKYox5pY0tJIb65h8DYeA7DGg9yT9YGUtQ/Xx+iPr4/NO3XFfP8NDUqw9rkb2ht/r/1urqm7Dq1+YO8n3LvKfb/+cm7L2vMqSxFKCwzcuitnRenn1NUPy2hN2ENBQuUEu5C6jWjDdEYLhWeodkUCt7a6FW0zVMSBqV0g9GEMsO5gQy+VqQgVCi1EXc65FzbWTRy4/Ve1sXtEtUILUatiWsXBMgF/qXKIY9/KVocAkkghjMdAN7KBSoQOmWq3w8V81TodWMtZicB7VFRtHgEksUlFk14AW++BtsT0PlRKx/MDA3DT2Qu2g58txiMoSkUphatFb0SVXj8ziDBQCFkiAkVAYCr8SVPoJnB7qUUQVDIwayBMzFzfTwt8t+Xu/Cnhqyy4k6LWFSu5JnYtjdeUmBq1VwosQp8a0NCuthWtGGyFywjAZ4RoL5Ypf2uFrQogUFb98E8Wfo3tmKxy/WuAtxrrwa6YsKoLeFBk7Tqh1ZNIKLqRohGazI9A0Q90vYY49GWTEco1gQoExKEpJhQJmqEtCKS/U5oa1EEloDkgnx1TLiZ8+/Qr9h8+oJUkJGHManjB1euXXFyeM0mX/OQPPyQOBjwdBuxtxez2NhmeXvL46Qs+ez3mj9/9Du24xZ279/nyZApByfjqisurCcv5isl8wSrP+L/+Z/81SZ5y/OIVF7MZP/6P/gkb6Zx//i/+NeFGnxs7e9y+sctOt83161MevzghzUqk0k1XtHarleiirEhaDfqdlpMXZVlSBSFh0uXy6pI7dxQouVZ3wRUTU1BMRiyWQxd6SgZ7hDVTye5JJSsO7j/k2z+HTlLR6nW4efsWcbNio9diMOiglhnjq3NOXp5yuZzyR//0j+k2W+TzJdPhJcP5hPlsRtgKuf/uHTaafdJlwWIyI6skZTJAqpTlfMWD9w549/5t4lJQrkpWq5QiL8hWS66GE07Op/Te+pC2rOj0BkzC2CmOa71CKn9OolDRa1YkUagr3y2nrP62LV9tjA1wIBqvXNfczMqCQKxV4T6xbBEnxdDOa4t0t648ECgRYgElTmt2Al6/I+0TJLi0k7pK536zjMFr2HVgzvoVZi1V/R5ehFoGVa/5bDEC1qVn03GsdfdrL2G/jxEYfpTr6oOerxUcfiVEbUy10TsZJJzwqosgzeT8d6wnRJhZKGOlh6LSxUyUFgKNUFuNoRF+1urwrnMbh9d1zUVg858FSkrjNoa8hLwwMzSB81zqw12Tn4RCOg1HCuHiZV6pEFSVt1SBWsMTfS+tSAQGHCld2pN0tBe4fXQal2KN0IM6GBSbumfFS2CUBw+8shSiEDX60UIyCgRVZcIQYDVHkDYOb86HEA6F7RVhY3mYhVRogF9ZaU+GdxV7ChUEpre9JAh0qCMOMQgAXC61dO56U5JXrZ/UwDywkphWzdJYEOa5QYgKIr3mlg/Vz6CNjb7x7ze9HH8xF3jF2altunOdsLXrrXDWa2mxFfrs1dbZ0HedPqidU2MZmN2yZ2XND4l2tQsDyvTBCRdOcQM397anyvRGaEXa/W7TN2Mzv0BZxVDvYZor5gUaiCj1noeBDnNFoQZQSlNMT6A9XyGKPEiQKuLs9THvfvwxuzsHVFlOSc7o9XNGw2tWRcp7H71FN27xetaiMUjY7QuGZxecnA15fnpNd9CjLCpEEnB2NWKRZrz1B/+Q9ouX/Nv/7z+jKnKqquT+2/fpiZIXj5+TR/CjH30HkZd8/fkLTouAW3ducuvWPh++c49GVpKenfLyyQs27zwEJEEQ0G41accJZ5NLGklMr9UiFAGiEqRlxawsaadLynJFu9OBSlGUWgG0+6xLL+s/FldnpKupUdJjmr0tAhGaPhL18KlEBBG7B7vI2YJlcE26nLGaL5lclDRaMZ1mk9V8QR4IBrs7DDp98mVKupyzWC3J8pQ7b99mf3vPxOQrinTFbDxnHnUQUZMwKbn39i3u39in32iR5ktm0znL5ZTJdMHLF685O78m2uqzUcwJGk2ySqKCxOyvVtdtuE4FgTN4BsmKbpSj8oxVtiJfLpn9bYvYaPeWFqmaNdaOpDBM3x5jQ/w+7uQPDTgx6w5C/QhbF7xA6LiYsQ78nZzR4IVzDSxmFQdR+z7Kx82lYwJr36hf7eZUR+EqcHnk9itvxsqdNfLm89fWy1wjtCVZr47vhUN9pXx6n+N69t5OUVkX2hbNWwcD6WWyiHTLuP2nuotXZdy30ljbiiTwrnUlocK7g62Q19vjJX4ocIVL3IpKXVylqLQlHwpb+1w65mxXoFI63S1QJs4tvJ3nnKLCbZNThySaISplXeZmb4zUUXbuZrwCU+ddKNPOVa91UXlrEyeodOEZC5Kz9xPGUrd041VAPVrdMU6vUWnK0OqX9DgTZelZOtqp31GYtbYKnZLoLnLKVPzD4ArsdcIyBuVCQMLdyXouoDLYB0mgQYvGC4AwChbG02DCNMqshTKKmRKBjuEbQe9AnkZWKqM0OaFtxi9qLivXm8IQYlxzlWt+UFdsTYaK6ajo8wv8WfD0uH62TWDKEbx1q3vF2At4/RU7R3+9VeLr6rIOkSmiGlfTa66pIhLQCQWNCNPiOHD4GGHmFyCopGKaSrICs5bS0UpVGYSSEiSBUfYUFBKT8iVRQUQRdNm9dYtWMyJPNZo9X0yZja+pAsnDdx7ST3q8Ph2SHb7LbnFNOpxwejmkarX4+//xPyJO55xcTfj5l8/4+RffcDmd8Y9/+FP++D++xQ/+4B/y5Of/mqdf/4JWP2RycsrmoMn7bz1ArSpePXvFZ8cXbDy4S0MEdNpN2o0YWVY0oxbjZcpA6Pm1mw2SOKQybuZGI6GSFXEck6UrRumKKgxYLqdEccjVxRnFfQ2mA3uOrCKudHGYq1OkzAlDQRk3aA4OUSJy2RaOtxOQtPv0u4d0opzz06cUqmQwaLO9s8WgP2A1HjOuKrI849Zb92gGIfPpnPl0TGt3i3u7j4gBISVVmZHOlyxWKWlWMY+6DIIWrVbK7Ue3aQQ5RZqxWCwYTcaMr0Y8e/mKaTHn/R99wGZnE6KEZhKRB4kPmXnq9lQsAkIqWmRUyzlpOkFWOavZnNlywm97/c6Yez2v1zI8ZRitjevZlxYwau0g14aombGJkwbGBHTAl1r8bE2wr8Xy/CGrf9/Xv8eB7zCCQhpN2VqtyjIi51iuMYtaqhY1BmMFrHU54p6vXWVueYQdQ221hEKowOTc1piuqisDdQZTn6eN61KzFOQb8UYrxKyL2CP2/bIpfLtT6+5VJKJCCalbrVa2OIyeblFhmjQoA8zSz6uUGYxhbNq1iEn9ElBJt37KoLU9oze77chDs2rbCQulEcMGIWnW39qyhsEJrxppIWUq+JnqbhoRjouHuzUwg9CWq9DzM89QUjdkkfZvp3HW6K1WJmht5QNcDrU7msbzUFS+3r4FZNl66pUSpoCMwrr77TBtumUlTdc1w8+MmMQWOpEoo3zW/GNGYkoUpfR04b3ewu+pXjEHmnOgJQcLtQqyrSoZIgP9fmQUAdvZLagp2857pLTS6cNzGscRubxNXAjDqk92Za1vxApDL5Cd5PXvmbELQzTer0Ltjp511veqdgtnhFtAqv2fEMJlboDGQzTCijjwioj2Gpk6B0IXLFrlioXU7vhGJGgm2upGQVoosgry0mc82PW39JLnkrKEVhwYmtHdABWVK+UbNjdpV1dcXZ3S29ylnURkyxkqFty//w5JEPP6yXO+PJnS5jWJek06n7FYLXn3nXvE2Yzz4YJJlnD6+orXV9fIStAe7BA1Wrz10Y9Jpq9JqiHLaszBrQ3u7uyymqScn1/zH371NeNGh/dvHfLug9vcuXmESlMuxnN+/sk3nE4XHBYlSSMhaWj1bLlIdcvjoiLqx7RbTRZXQwodc6C7ucEf/f0/YrFKKYrKY1hqtAFQFTmzySUiCqlURZl06G7sIUVcw4cphNRx67xSiGYbQUGlSoo053w+Y3gxpNVIKNNUP6QZETUiFtMps8k1va0B+3v7NKMEuVpQ5DlZlrGYzpmtUi5GGeXWJoFI6LehjSJbrJhmKZdnp4zGU86uL7n/4X0e3rhNM26RrWCSKco0I+h2CILIyAh3ilwatBDQIicuJyyWU2SZkmVLVCTZv3eH3/b6693yb8hol96iTH1rIVw6HHih5kapPDq2rnFbq826Xi1mzr58vivOjVYJw1rVr+k1bhNrb2L9DdaboMBZsKG1RoR3uWsFA3cvezcf37PPqJW0FD5mqqwrmbX90YRpGFEd/iPcPL0SYZm322Nlx+eBZnXFyq6F9SJYhrQeq9YDsWIUKQmFJBLSVctC6FalAdYC1zeyNQA8gKoGZFHaEjE+RuMqxs2vLliVWS9pIPpOaatdUPqNM+lyvpiJtRoNQbhwjMIgz02ykFQSC+EIrLKjavcy6oWs6iPV95XKu8aVpXH7ufBqrRNUNWEWCOHcgJVSzssha0zJ5vHXwVfC7KHfJS+gNTBeuDWoP8vSqbVkbGMSryyae5iKeEIoROVDP8LtO47SXZEdfAx6HWimBXkoJEkgCMPKrIMZufDjd+elrhzVzpZuxQy+qqX9ZP03gVXo/Llyq14TynbPdEMd/U1p+IsSgUsPtSG/eiU6r4kLD/YT1lujrSYlNTZISamxC6EBcxoPpF4XhTBphtLEkx12QumqjiXQiQRlUTHLzVqbkJDrpmi8KEJYJU8roqXAeUyk+V4pBVJGXJ2fcz0fcuPufVpRSLzq0mrfIShKhuNLPv/iMc+yhL//cY/RZ69ZiZyPfvgh3bDFk+dPCQ5ucb+3zTffPmf3/gP6m3t0Wh2KsmJ58oKrk2+pyLl56waH2/ukiyXPn53y57/6ipfjKf/of/0Tfvr7PyauKkaXlzz95glfffuS//lXn5OKgPkq0yl9YUizkTAfT0AExElMq9kinS/I8hRkCQS0By2+850PeH4dU0p/MqxirTmZokyXLJcjClVSlAXNg5s0m11EpUM59uhIAmQFFQGt3j6XF9dcLwuSZsL+wSHNJKHbbpKEgjzPUVISmJbKg60t9nZ2SFSISjPy1YrlYsFiNWc4mTGepHz79IwbD3+EKJbE1ZSsmDO5HPL67IzL0SXdvQEf//ADjvYP6TU3yFcrJquUQgm6SUIWd9aAz/b/Vj6FShHJFSqbkS0nVConbjfY2zokjhv8ttffCFBnj7dVuHWlKh2b83F45RmwucYKIdzR0u/b/F8dJ64xNX9e1zRpAYSGGVD7jmMmaxqPPa/1sei/fGaUFzz+XoZJrMWk/e3tI5RhEA4qsPYoz2Lt/aQT7PV7+t+8cvHmy0fYRW3t7JXKjbGuMJhn17ADdluUeT9Utn618ozCyH0MM0dowrZjda7Z2tgFtpOY3c/AP1vUlSmw7XudR0HVR61fNgbpea10Grs0NxQENUsPB6a0WAyUdF4BJXR8XMdZnd9I/zTrI6mlv5m1XQNUWfCZmbFQXgCp2uYrYeLyLh7vlQU9dK/g2VihVNKhzCPnjdDub+uxMfLdjStwk9Pvh5qYdTqi8sqZxhTYkejPtBUvjTCsiUpjlVqMBAiCIAJh19TsrfAM1h9zhe045+xsl1an98XOzDOvoBZpMrRklJl6t8c19/jaAXHqgsN/SATIgNLRmGcIet30DQJ7X725jj50kSergPkMdaW1NZAlAZIk1OC4yCDbpTSzDm0uujI9FCx1azVJSokSglUGZaEV5KJSFJVpSW33QxlUuNBVBl39AWVjzPq5lVLkpfYMifmMRbrkww8/pBUGiKoiikPKWcHZq9d8+fgJU1Xxwx//kHIyQYYVDx89pEHC8GLEdZbTE4JwOiZLl3TbPR784Kc0w5ioUpTTCxQlRVHxg/fvc/3ihGme8uTla/ZvbvP+773Nhx+8TT6dcH49ZDIc8/TbY16cXlHKiu29PaqiIk4iWs0GspJkpSSOQ0SoezMML4bIMiVOQhphAxUowkjRbQgzZ5+NUTe7qtWSqlgQBiEFBYf3PyBU6yV+FSDCwCjFAZmKodmjWaSURcV4NGLQHxAnAc2ohSgqxvMpRzs9Bltb9BsRzVDoVq/pklW2opAVk9GKT37xmGG5orW9Tz9usbw8oRVfcD06ZTyeMC9T3nr/Htt7B2y0+4RSUaQpi9mS8Tyn1e+Sl6XuBodwijI16gFtqFSzKZN0QhJBp91je3uHZtTyoJff8PobVKgzDzQC0+u9xjJ2EtLHRG16latXbt2sTpB7kaZZrhX//nmOARjBoplyXXd/M8ZtrAXhIX3UniJqz3izNav7phOYXmz6+9vPa+MX3sbXx9iOFafMWIXAfckI2rqw9spNjXzX1stcaji9tUAAF1+tz6Q+ZD90r14o0K030UJKSuXc+bkyzzW93C3T8R21A2dxGfZJUAc3vjEbP0vNNDUwprayzstgrhY+lmyZu/WeBMI0k7HzE8r1ZrZP0rF331tbmfEL4a3ewKybtUpRdYhcTXnAC0jwit+609eO10bshbGkLUVYF69VlnzxE6E0Ew9ELbZrqtY5rIewCkjtmdblKOwO4LwOVjhYBU8pqUMAGKXcVAwMjLXvxmq3QBg3MYbeDGNF6FhvYK4ppahhY2qn1/14kxqddHf7Yq90tenNPCwmR5oa4r6Ogy3M7Jawdsb835WwJ1DPsx62s3zL7IABC0oCJTWfNBa5MDwsLEsEpZP5Rid2LEAZi117omxVQu99tPzSWuZpqVyoSkkTPrHftfMxZ69QtpwzNX6o176UOkui0Wxy9959AhWQZzlyMSVfDBmevOL16WsGOz2+c+8uwfZdLl5fc3T3Jp0gZnRxyavTa15cTfm9Ry0G3S6b2zssUkF/9yZCCfLhGSff/iVPnz3m+z/+kGgx59nrV6SNBr//0x/TXC55MVmSL5bMopDdG4fsbu3x5LMXpKucyXzBxg5UsqTZbKBQVFVFlueESUS/00blJbPlQjd5iTWgOmk2mY3HxHQpRs9Itt921GJfkYDR9RlVpS1tGTbob+wS1c7F2kkNBSJQbBzc5MtnnzHNFyTNhEDpuL9SgqjZIFultLoNmq2QXjMhUiVVUbFaLJlPZ8zGQ16dXHKVrrj13i0eNpokOw8Iml2effEXFL0xy/GQKiq4/949jrYPCMOYdhizWkxZphmLVY5sbRCEgkazTRE2sXx2zWh0L0kUQaEk7UGPjU6PKIh1lk3xt0yFWz+gNYpGU5vT5O33lf+uwueKCzTwTgjt2reu7LogWBOC7ir9Xr3vWQ1GRSWEYVIGSLR2XZ0U1li3QyKus2j95rpS4OBAa3Mz08cTTx284QV9fU5ObFt8T+B30YsCsXb/NXJ2y668RQN4MBa1VD7/WlMs0KlelajvARCo2mrXYp32JsHanXApZabcrBZMZv0cdbrMbjScSHlRJ1wiESG6T7oKpGOaAZi0oBo9GCbvqtYrLzoFOu0MAUpqoJxQQKBd9QQQBTbCrNfZehGcdk/9FdQeaxm3XgMtNxS2aqJ1r6va/tj3bfc0rURYoW6zKUKX7qeR/cKg4w2VKmVc6noM2i0rdR13Y+E6YSy1kCmtMiY9LTvgnrX6hR2DcAJF2D65AtQbZXGVSe+wFd70WbChKf0srTApJ6ilsCE84bEmdk+d5urj6nGgSAJohCXCgC6zKqBUglIJcsB1zHN4nDfPKpY/2l+d8LVgS7+3VvBXqKoEpK7ZEPh0PO1tqrCQYam0Kzwv3RI6D15lAIgKnU4ppaY7HdqoMWxhBbpec31fK9GVUe5s2Wx7L6v/6tlWSprmQxrOF0URi+EQ2evSjGLK5ZjJySnHx6+5+fYdbuxsM55XXLHBYEfSXp4xvrzi+PUVz06u2Lt7m83NDbKrCeeX1ywafVAVgYCLx79kvjjj6PYNNhJ49u23JFs9vvfuI7LhjBfHJwT37rF3eMggaTG5uubTX3xK3giIZEUYBsRhiCwKZFkRxDFpmRPGAb1+lzu3bnN5fAJKUgnIKkWrqjh/dsJ/e/kv+Ls//WNCBiS74a8pckJVTC5ekhZLgiik0dui2eg5T5E7u5YWzEtWECURG+0NkkaDXq/J5maPBgFnT48Zjcckex0+3NhAFCUlFbLIWMznjIZDRrMpqyLl8NYmd2/dpVooLqMO2TLn+vyUIlvS7Ud858P36TRbdOMWVVmSpynpMmM+X7GM23R2bsL4NVkJSkTGcDPesvq4BahKq4Ab2wN6nZhYhFRZQa5SqrLkt71+N6CupnFb7rsmyIQX0m+KOFk73BatrtYE5ZtO0bpgtCCe2uc1d7M9vOClmYuDvhEeqMdqwIAA69cqM0+Bcw7UUeX2bNnZ2VHYHuwKK6D1/FzGgLJWgL+mLqzdNppfrMBxz6zd3cfRcW5Mx6CtcmM5yBt7ZhUXb29ri0Gn8SlsWqNeavmGpegVnPpMNeo/cExWOWYNVuULlNRpVYYROg5XEwYC5VPojCARygpErwAFmLi22TKJjzl7IWMYrPLWtBbIBtUtcK5zR0d2bFgLWzkQtXDfUUbA2511QQRzf+u+95ZmEAVgut9py836u2zfdP1wF082k3YC2S2VFUTmDYtvETZ3WisUpRIUVWAyMkRtfC4HwO2WpRNhUMvW+rZ7p3Ed6254u8eWeAOnXEn3u95rnbOvPRDaErPnQJrn2/z+WEg6saSXVCShxyOUUpBWFWUlmOUhSxmiTFaBP0fKWbP+dAvWkPbClnTVI3GeGJ1vBqrSKX4AhI6/6eMiQVVmp03THbQi5ailhl2wz3TlgC0jERaToZwiGJjzbGv+K4TGipjvV2AyJWrHGEUldSDUerECoagmrzg9fcnd7nsIqVgNR0xGV9x8+xZ3b99lenHJxXVJ0MsIl2csJ1NOT67Iki6/95NbhAW8enbKi2+fsnfzEDUtEUUBqqLK56is4OzyhLePGmzfOODWjUOqZcbLs0tGjQ5/9NHv0VKC8xfHfPHJ5zw+v+I//S/+Ka1K8eeff02n2aBIMzrdDoGSjIdjlIBmp0V3e4BMM4bXQ/KqQAS6odDXnz3m3vtvcT4tuPvW27V23H498umU5fTKZCAI4sEOSdyofcuRquPBAkHc20BVIfN0RpSmhEJSpSsaSYwsCwok7719j07SRC4WTOdzJsMho8mIZbZg+3CLO2/dpNdqUi7hbDhC7u1DmdJqhWztDHj07l122n2qqkKVBbLMWUxmnJ5fsFAK9vbZrAI6SUjZ6OFLU4vaJK33TJ+rZjOgE8e6v0YlSRcZVZkxW0y5yW9+/Y5UOOvAMqtU8xmsV4fyzMjKy8DGzBw/8EwCo01bhqJdsXXr2ooT5aSqK7iCVwAsk7aWvUct4z55Y4ReoLLmHPa2mvLftKOonNAyc6+JXveO3Ql3G8Nk1jwUAi/p1ZqW6a/yz/LiVAsUs/B6fWvfp/b99buZp5p9s8zDKh71IiU2dOMLQBgQo7L+BM26hBFgPkbrx4QTkla4CoOE18+pMIJEaQHoLBR7fyu4zPtWyQiMQKqUpRNPIfYE6DQ+faW03hxl6VS49bbd5kSgS6+GgWa+lVQUSqGkj+V6OsWHmBx9SGMVC4dEF+ge62FoskJcDpxCCOlmJrDucH1fCwa38eG1tTViw3oxbFwuDAMasYn/IigkyDzQsX/hG5RozIFy4wV0hTqDfve07k+erWkhjHvflletlKlPoYyyhUJQ1YMPjs5CJXETE7YUr1H6BDTDin4i6Sa6+ppCGYVTg6EaaMxCFEhCJVzHr8DQr/dsaW4gzKZZ9UHZEyN8WVjtgJLIotTgS4EuC2yErstEcfts1t2AIfW++GdrT1VgwhdejXI2iLBhTJO5o7SiGYZ2JTQg1PodhXk+Br9hQzX2XsoIKkRAFEAzVEzPj9na2WV7Y4OmElytUrZu3+LG4SHziyEvnp9wldyi/PxniP0+QbRN/+077Hc6lMsJC1EQysoAnxVX19e8i0RNRwxPvuFyeMHO4TY379zgsNdgcT3j5HTIz794ynf+0T8kKiUnr1/x7MlzXl1f8KO//4dstFv84I9+wquLId+cT5gpRSOoSLMVoIijiCSJCSsJIWwdHbIYj2i1Erb39pnlp0xHI67SigfNdi3EgVv71dUZq+WIIAwoZUWrv0kYJqBsONhcYeZlFbEoSugONiCVdLot+v0OrSgkEnC5XLJ5uMXB9jbpbMlqPubi5IzxYkp7t8uHtz+gnTQJVcjyesh0saQQGf3shNG8x/7RgLcfbrHZbBMJQVkULIuMbJFyfT1kMlvx5MU5W60jtjckeZZBOzFYnjoexs83FpJmWNEMIY4iZJqzSBcoVZLPl1xfXfHbXr8j5m5YkdWc6i4mJ3a8QK1bzNY60d8X6/d0Ak+9Iei9AF9zMZv71AWvdFd48eaAdHaQlrlYohB+bJYJOGN/bTZegNjRW8KiZtGBF/TUrl13anur2rkU3TjAFiyw62wtAdxd67/gF8T9WVdX3lQLNFPHaV72frYavH85ZUm5nXFMW5kF1J4RWZtdjQGZ/ZJmfy3NrJdW9RpqZdySoRVaSrhe575joLUIhTmcdp01o9fT0l+sFK4wkovPB0bRFNa61q/QuMNt8ZjK7E0sBBVS59W6bdUTUTbnXNiP1vEWdigi0OWeVQU2hcsWxtHyR67tUr34kbtf7Uj5ojke7BeGShcOMkA4XUpVM9AKoSvOCb8/9fFFKESg07ZsOh7UY9l6vHGgKxZiLFadCmaDGkawKx3JV/VDoYQGhKGcwisQOmeegDCEdqxoR5JGqPPA6538Cunb5KIEzVDTby5r4Q2EwX2Ys6bMLO1aicowTFtg1iNGlKz8qhhvjq1TjgFBSntWhVGjdf9jd8oqqdc+FP6U2fBJpTyvUeg56cwLfcJCIQgdrkI5kKay5bitYqesYPLMXgmDG7GcQ0laG5vcOdhnNcuZpkva2322NvtMTy948vgZnz47Q2xXbLYCHk+viKOQPCtRUchylTKaLvgH//in9DpnHD95RWdzC5kvGZ88ppApO0c3+eCj+2y1GyzGU56+OOUXnz/mdFXygVCcHL/k+uqKrds3OXjrLnfv3mFxdU1j0OR/93/83/Df/jd/wv/8yaeohi4FrAJBs9Viq9MlXU7pdlvIMGZzf5ujwz22N4+YLv4dw9E5s2XqFHW7BoE5G/lshCxTVKABpd2dmyQiIsLsp1HYRI2uUSBDgRABURSRLReM85SJEKiyQDRC3rl/k7CA8dWQZTamIGXnYMDu4QGbnW3y5Yo8L1nNloyHY85GE+62KjZbgsOjG2y2BKIsSdOM6WJKNs14+eqU89GIZq/JnYeHdDpNwmJBHEcsSJzUM05wzfOEVtwTIemolIYoUGVGkeWMr0Ys0glRHCDiOhdff/1OQJ1ykrVuVftP174rDONX3lpyMWIrnfGH377W76v/CqwktaqastH3tS7z+gplRZECIUE5W97IQm/zC4w7t868sYJXme8Id19HHpZ/mWus9YqZs/2f9xU4h7V7mM1P99shzVwNctqut0N318aHYdWuhWpdn7VL5O09Pw8rsC3Hkb5xj11HO3YjcJXy8X/9t1ZOwsA0qbExVKvGKBsSULVnmyeIoKYQ2T01CoTwVr0Ge3krpk5alQE4WTR84PQ3y9wBEbg4fWgEu67LjrnOl0y1AlegyKS16M1HQtNrJb2iofcOw/RryoY7FwJMFbJSc20NlhN+Jay7H+uBcnugF8ca+crQtwuOGM9JEBghHuiqc1IJ8kqTexiYsQWSGEEoKqdMSmmsXiPgrJVcViZFVGi6qVCul0uEIhZS1ztH73kpAyrptQ7v97LhDDN+pXAhICsf9akjDhTdRNCK0DnigXE116xl7P5KrYRoJi0JC+1ZKaWmKRchMCOQNS+Jpq/AnBfQ7XUNn1AgAk1PIghMWps7BNoTI/WC6xC8vod02ZgKEWpL3Ob4+x7vgqqsIDB1/J1HR/hzH1hOpBweQkqJz3M3+AalHA7DAitDc784DEgiRUNVNDe7FEXKKi0p0wVbvRar8ZjL16d8/uQF3d1t7r99i2xVMJwukHIF5Yqz02uu5ylvffAely+OGc7nfO+jRzyeNuh0N1DjU6gqmr0udw+2qWbXPPvqCX/59TMGB9u8d3hAvFzxcjzl7qO32B/0WaQryFLKULC7t082nNFrJYhQ0Gg3yJYZnW6b/qCnEe5pzmiZsSgqdg4OCAQk/S2SZodO2aGYTimLjCBMzBk1RoOsWE2vUSJHBCGEMTsHdxA1WeG4g1mzUG8us6tLpqMhRbBid2+DzcGAJIxQsqQKFN1Gk3y1BEqyPGP39g32tnaIRYioJFQlq9mceZ4xn6z45stnHNzusLcb0mgKgrIgLVKqvGJ8PeHy9IrTyTW7N3Z59OghDdliXLYQRaqVxKhJKT0fDoQkCnVthFAoEgraYoWqKhazJZPhiNHogulyQn93wPbuFr/t9Tey3N98p36s/HH3OmYdKervYBNt1Lpp4kjd3rHmSlfKacRW0/UHyQpB8zuVcwXrE6yscr4WPzVriBdPNSXCzskIeiWskrF2ob5O1d+07xuGbJiAj8TWNHkkdeAcyjxDFhBE2LKp+uWR03XLWanQMy+7ps5GtusLStlCJIbZGre2L21r44l+p4XVAZRyBYDcM2rp5vqJ0gMazbmy+dGq7qvGNpnBWHt2nDiBKx2Y0TB1qwSIWq61lkSuC6DeJqM8BMIxfP2ZNGtgQgPKpESZWLUQUJRC57wL6eLmdnLONU/d+jUM2AAj9FwsQMvEQbE51sIJaJRBGBhublmP40VOYAZuySxi2luogXt+XmqmFZr5VRWEoR5FVYGSChEoQgK315XU9y6dh0CD86yrORSSkJql494XrvpghQGhmXNmQyR2L50HSlqsjHLnIQ4E7QQakd1TLURL085TmiMbhBCFmjoluuFQIU2Pe2yIpnLhEWvJefvO7L+hM8eVnAXo90pzfvM9G64Rwrn+reqGsOurr42oK+hWWTDjCQSBKRkqpT79kaVNB4f3/MjiRIQQus2u4XHSEIcwNCVCZYSXIIkV7Rii1ZTr05d0NwaoXJIEJdlozMXZBd8ev+bDH77PTrPNi+mSoD3g1u4BZCuuX7/i+mpKPr8mXaUs2m3+8Pe/z6unF7RaPVpKcXn8DdfTIR+/fw+WM65PzrhYLPjpf/JTdsOIX376LWMx4f7DBww6Pa5Ozwj7HSSwt3+AXOVcHb/ifDgmCAKqTNJrd1gsl5RlgSwLRuMRo8mSUghu3rmFzEuiZp+7D97hV3/+gvl0RFHmBEqX4XVhu7Jkdn2ileCyIhhs0mj1dbqnOT+V2f04VESWMVSK1XJKs9ukHQVURcF0NCY0QMruZgdVShbLCYXKufHwLoOkTWQU+iLLWC4XpHnOeLjk00++ZR4U5DKiQCDmczKla82fvjjjPJ0y2Orwkx/8mP3OLkVaMJtnyLBBJJc6Y0m0tKKJrOHLbEhXEssVspiRZjPS6YSzi9fEvZA7t+6yf3iDVtDmt71+p3DXBGUyRy2zdQfK29BeQCqvJRuxrExlEVE7Ml64rysQStTvqewdzBPsPd1j3LfqOkPtbr/hCcaicGzVqiS179ct7HXdxo18DbNnlAkrMN+8nxulm7Z/plDavRkoCap0lxjRZOLIpq2q9GmIQoEIKj9fYcdeYzxrOAU/NzseKXzetV2JgFpOssLEyPUbDjGtbIxUu8SC9QV2ld7qi++R6WvwJx2HrykHNViHtoREPb5qNDUzWmW+Ewqt6njRaIQePo2oQisQsRCG8QZkhdItLQVI13RHGXe1FRgGT1GnQiv4LSFiQxgeYIj52+IBXMtds5y245fEnxVllAzr9pYOsqmtO4vOxihf7knCFOeRoCQkGl9OScPqJ1gvjazMHhhh48mhlpMujCegDKiMolWUitJ507TK4+nZ6kHCKHZWQdaZEHGkaEaCJPTucbui9bCB5hu6v3khTXMRI/gd2BCFLfxi188ugwK3b3V0vL7OKNWBddZaanRL6MaAqDVG8qcC640I/LZ7ZdesRRia+oFOkbbHx/MwaY0QQz+BEf4GT6qVBEtBwisuItCel2ak69TniwXnF+d0NzcJgxwWMy5Ozhktp7z/o4/Y7fR48fwcmlsMNreIRMR0viBsdxnsHrKnIsIgYWt/l+NvnnA8UyQ37tMJFM/HlxzcvsPBoMvs6oR5lfODv/tD2qXg2bfP+eWXz7lqnfPe9z4mm044OT3h5sa79PobqLRgfDXk+NU5k1UKUtFoxaispD/okbQSZpM5w/mSRbqi1WqxuB5TNBPeO3pA4+kxaZqTpwuWyxllaxMfNoEgz1jNrqmUpCglg6MHBCJBVtLtuzLhIaSiCrX3KSgrrk5Puby+oNEK2djok7RaDLod4jAkTKAqKpJum53BPoNOF4oCma0o8pTpaMpkueTqfMqnn37D8/NTdt8+QqoYCJhPpkzmU65GY8KG4HBrwNHtm2y2+qhSaET9dEW020AtZ4ikBWHo0h1DlMZ6CuPdViUqn5FnC+bTIVLmbB1tcXB0RFM0SKImwV8jwn8nWh7h8dMYRudYmIHvq9p3AYNurJ8Wfxgx1pPnjXXhinPN6YPnImUejOei7TUVwWgeQnnh6qVvLd5mTqDHATjzzH3PWsmKwPUPr89GM6A1VYA6k6gLATtaLYyNULAiw+lCClHkutUjkYtoewSCPu02V1YPSdqNqT3RYggCtF/RKhNWGnim4UZcW2vrDrfrEojaHB3AyoLlAAIjrLTArasxtaUCCxAS6LQ0J9bXbS0lfKtVUftXd5xIYeLn5lN7t6CmbKyFPaTSB1xYAFgt2GGso8ocqKJObU5gvTlOp0npNXNgO2Fc8JoGwwDCSAuarMDFYC2gUStgyoELpfJgMyGkAUB65dIk3fnQgRHsEomSuv69/VwIUNkUFcQUSdNRh+0xYM+eLSeMjfljrR1M/XqvUEmhA952bUWgfIEVaUGMfuds7DAKFEkISajblqIEeaUxDnYO9ryHWKULcllRlj5iul6a1QtNe5a08mf9ZN4DEwTales5hn4FWGPDendwZwthad/utecpoaVpq4UY9qGgFibw5yYIzPiFVR5sqVmjqFlK9kdUU51R4qxAE2glKQyFXkv0WaoQvPv++1ApZLFkNblmLgve+e6HtMOIq7MhF/OC7qDDYr7SFfbCmI3NDZSsmE6nJHHEcjik3W3TXKRsHd2iQUm71aAMQq5fPWOjUfLo3XuQVjx9+pJhsEE2q7gcXnDx+pTRaolotzk6OCKbz7k6P+fl8RlJv0u7mZC0WzSTmOkqpdFIyBcZry8vaXUbxFFIWVUMJ0O2wg0a/U2O7jxEVIrV+JpVuvAKniGWajIClen6EKHQaWVV5DyQyu6d+VuaTnrVKiNqCm7dvUW7k+g6+ElCmacsFxPiQhE1Ntju7tKMQ4I8J8+WFFnOYjpkOc/48tPHPD2/oNtvs9nvECiYTJd020tmZ1ecDi+gE/De24/Y6AwYtAeUaU5erFgsUlY0aKuARhKxiNpIK4KFAimMESJ1MSpZUSznrBYjZpNrWlsd9veP6Lc3UFlBuUxrSPtff/315WftcTW/rCNiza8117hj5i6hy7JgsXadcgwaZz3U7Xo7V6/tYqxFa3VYn0FdgagfMBzT8jOx33yznr3mGkro1BRbvtJaU+66unQ340FYAYAbuxf45hlONJjPTelNbKqWqHS9cwJnjVm0sln0tdGD0alq8U//magP2fxt9+GNEIebl1vVmreiludttBBn1dXGZBth+N02m2BNW82bHL7CflQHAXq6squo7GjXZmd1NfnG+8K46cGkOyll4sganR8hiPwyuApildICJxCmOYwZQVUBdi9Mz3WUFmgCj5ZeY8SGrm1bVu0tEGSlrlkvUBpBr4Qv34tRMEz8WGDj6loTsOskjGIYGHPRFhDSYxAOcKTd6CbFsFpSqqZuk2nW1eLiqQMXMZ4buzk1yqiXYg2UxltYz4NN67LxYVlbP0z2QChsd7oAKRW5sp3oqFGfJQBFZYRlKU0HQhOSw85RgcOjC5uEiQtfWEtX65rWq2OUIpT3jtinyzesaiOBrT4sDbjDFsWy4SbHFS34zoSqgkDUFGewCnFg91lpoW7ZimsKZfZeN4oyPgW7TpYOlKENw9Ok0jidjY4iTBOWs5TV+IJlPuPBe2/TiZpMr644u54xXCmalaSRJKA0yl4VFWEU0eh16XRb3Llzk3y85EUg6W9sUZ09YXh1RthvM7hzyO2tDuWi5OTlCV89P0Ftx0QqYm9vl5dPj4ko+Yf/5D8in01ZLOf09nb4zu4ex1++MGeqYjxeMZ7O6PY6jKYzwjhAqQoCQVGUhEHIap7yP/4//2/k84w8FERJQiNu1vYzIEIxOj+mlIVhChGd7pYrMmSrDdr9VwhdW0AoRCVJ53NIUhqNSDeFqSqEkkSxZKPTYGfQIwkUgVQsliumsxGLyZxXp+dcXo8om4If/NHHHHS2+ferPyPrlTTDkOH5BaPpiM1be9y6fcjR7hGUGkS4XKaMRxOuC0F04y2CCrIsJWjuujCzUrpeQmVkUKkURVmQTiZIkbJz65DN3oAoCLVXSQRkeUn+t81z16RsidkcyFqs27sssUfbfF87RC2D0Nyxpglbl4nCKwX4+/hcZCs4jQUrrAhT7oz5MdXvsDYB/UOgY9ZKaeu2dp0FxawLUcNIlL7Oa9+125prxRtXerEr3Xz1L8JfaF6hCNkIBeVszLK/S05Ue1BdeVFYa0MAv+YLx9rddp3DNeyDsI3LhbfercnhcAp2nZUXhsKM2ysD+u/fpC/qEIyfm/W21PENSliF0CqD1oVr/UGmP6pREh3GQrknYD5Z2wxp6U142826Pq0gAy8UrYDXxUmEE7DWmvd1yo1lK30gp7LuVgQxuHS0Umq0N9JYv4amQtDoebS1bwW7EoFmSIFB9pt9ryrhFNAAi5nwc1W1efg9MgqYVJDPKUWFjDFrGujCRdYNb1JvvB/F/7NobItVsWfOe0zMWJRyXgPl6EIrA2Gg+8eDVqakna/dFRtasQBOu92mFr71sFm8i1X0rOclCLRyHxqPEKEWfFIJ187WEqDzSSmFMkA6CQYnJxy91v2E0gLxZIAK9dwqlMnAMCdbKtPh0MfmtajRC2bDBdozrEB5I0cpDNZD05hQhqkLnUqph669QMrQdAwQajVDKgirFdnwGWEUs1ytKFXFrfsPaRIwH404vxjyF588RmzuM1ilbG5tkgjBYj5lMZtzdXFB1Ip59PYDmlnKF8enNLbvk0QR5EM6vR779w+4tb9HMbzk6eOXfPb0NcPZkjsHbxG12+xvDPj2i295/4ffZavbJQ4EG5tbrMYjLo6P+cWvPuNyOiEvKvJsRaPRYHP3iMVCcjYc0t3o0O11CeMGG1sbNJOIfksxnS7ZGvT0uqsK3QpcU6ssK1bDcxQFIogQSZt2b4tQeFlBYBua6fNVmUNTzackzQARJpRFTr/XYavX5fLklLxI6e/eotNoESlJNl+QZimj4ZjZfMmyTNl9sM9HH32HYFmRTaY0Iti7cQAqYJEtufudtzjY3KHdbJIQkecrsqJgtViRK0HR2idOdgjmJ0RRyDJomhCNL7VtCaSqJFU2p9ENGfSP6HWatJIEmefIoqDIMsqqJFum/LbX7y4/WxNG7ngL//46A7ckXjvMwuahO5iA/s8xXAOIcodM2S3CCxzlmLRnt+tjtALgTbFYkwzOLe4ktRUcNedC3Xqxf1t3JlaQO0slACXXvm21RcEbY3C3NYLOWJiRqji6/pbq0z/n/Pv/CePBgXZP19bdR/9qCo94c07eoqqvkrVirSVk86W9e31todafsbbahikL1gS4oBZ6eHPcZix1fINXPqCOyRfWSnaqkne/BuoNweLCA8opHw5sgz7MEkGoBCWKKgCktYiUcyErdEzXep+E0AKvVP6WPghAzXtk/9ZqbClxzWJKszTOi6TwuAUhTEtjsGmRuhiNcnqfUgHSLZFhaAKf7fUGffmWOLjWxkU2JxeKsGfHa6qhSYzFKt066nlb5cacC+GpwU9Cj8aDL+t5IZYElbNUbaW+Utm9rSlbWIHnr3fufbu2RvB6oKUdjqCoNDeJhEEV2+dLaYq/+HK+LqVWCAJpLXDtKlfS1gMT1BVTR/FCmarBpqSxwWLYLnma8RhqMOCVEo+tcb3u3RIqt1ZOA1A2CdHQkxmjXSchtEcoNPtTmu6N0WrCZDyk2d8mS5cMdjaJgauTU16fXvPFt8/ZvHGXQgqiOEagMxSKxZz5fE5alOzcukFbKb748iuSzQOWcRNVZXTbCf1Oi3fv3EBNrnn8xTd8dXLB4a1DHijBvNnh459+n8nomvneJn/v7/yEZhRSZZl2yT97wWeffsXzixFZlpKtliRCglTMp2NGkzEiDEiSiE6/Tb/TY3tnk3bS1G1S0xSFon9wk1Z3UytDRo5UqwVFOkWiAW7J3g2SVh+3gJZ2auHUQChYLpmcPyOKJd1umyQMkEXO2ckJ0/GE3uGAdqOLELqk62w24epqyMXVFUE74sMfvs+g1Uflgmye8/jT54hBE7mouIgW3L5/xNHuHoNGB1mUZKsl6XJBluaMphMWlWDVlSQIqHJkEKJEQ9O9AFue2vINqRQEAZubPTqR0KGYvKDMS7IsJU9XzGdLrs7GfPB3+I2vv164q7/uI3/orCbviNYwibpIcpqJe98SvHVd19imOwHKhYxti9Q3xbd/1w92bdiqXpvbF7awY9fCph6Rq99buW+5ua7ffA1YZ+jJvWdnJlRdRLoF039VJV/++58x/dk/52D3HvFH+w5sVRfiNu5qlaY6I8bd3zDMmqWnnGvWfibcGJyrGuEFV00RsYLb4iykcxnbMdkbWPFB7X3l5ylwLlxLInV9x7qx7ZzrbUnB5mKv74vEA9RsdJbAq4aaISgi6elLmfQ22xDF76XP1xfotqT2M2vBKrdeNcU08P4GW4AlsYJS1NavRjH6M78nmnn7Z0lZERqT+dd1L7Puwjcs9uup6UFUJcVqioq0shIoey8zuWBNxXaKiqVbW1fAPt1awRIv3PWm2bMt3H5haETXPbchG71wgSc2nI+pNkEbY9YuR1HDKdSmj2Z6hdIOb+2eFr7wjxJvnE8cDQqDEVEojcXwUtbxDkuL9efZ/QrBKy7mc7XmAvP3sPe2Ln+PavBE5U+ooQM/WJfdYcMAUkIVKChNOqoqGL76luuLM44afbqdmFYxZnR+xSeffcNMSbYPNrn/wbs8ffySdjNCyIrxeMx4POL161OuZlO27tzg4uKU2289ZJjGTPKYViNiPh3S2+oTFyVf/NWnlBsD/ugfvEMnz/js+QWDTo/F9JTb793no/ffp43k8tVLhpfXjIZTXjx9ydePn7MsJVkumI1nNGJodBrcuXmX8/MxWbGgqiTdXpdOElPMZ5ysrlBScHp5RX+ry70Pf59Bd8dplEJBuVywWoyQSlEK6GzdIgwTE16ynRw9EQgBQiqKySUBM6gK5pMlQSDotJp0+z063TZbRxskQUAY6nW+ODljXC44eLjP7Ru3aAYNZK6YzuZMrsccH5/yZHHOdz+4w42jI24f3KQVNhFFyWoxJy8LsumcF09OOZmPmS9Ldr6zwYbMiYKKsqrIVVTrHGl5nqaIEEUSC+IgIA5CZFlQFilplrGYrRieXzCezBjOpvy2198gFa5GgtZ1ba0QhXMlKntw3jiwjkkLc51zievPXPnHupAUjh2br9kDUBfsAlswo35MvFypxfVrc/GgO6+MeNFRF+rCP9tY+e7bTnjX4+w4obXGzMHl/7+pCQRAJxC8vbPFeHuLSW+DMhAEsq48/SZAFwglTbzVMFHL4LBj8IKgMmvq09rc5nhtZQ2wgFt/++jKLYEXV97GNozRWDHa5ax/t3nsesw1+7uWelZXCyrr8FY1lukYNAZVrIzg0HcL7HsiMLFlD86TgHWFaDyDj/1a8VSbtL5mTQlRNcWyRmPYMWnJr/CWs3D4Cb9Kyn3f7gvY9gKVHYtdY+GfJURAYNrzBoHQedkoXQRIQRSYZr7K0nTFSqaoMtGJcCLU1dgwwsliAhB1cnLzcVkCCreGXgj6P9Ub7zol3cT0ZWXXz6yAVUCMsLcuJftrtLasyq2LfTMwtGi9GiY6SGkFunvf0Kbwq67Ph3Qxdhum8WzVK5ZuSuZ6W35mTXijTJW/2n0Urr21eOP7/p5ekAu3iFbNko7glVH+bHqgXhKdOSKkBh/OVxLikIiKRKZMhmNOX50iWhF/9+P3KBYFl6uUozu3aXW6LJc6r7rV7bGxMWNZ5jSbDW7cPOL482+5bO6QdBvE+Yitox02poJnn/2SeLfNo9sHyFXK87NLDt//gKuzjKDR4satm4TFgmma0+xvcH/3gHQ8Y3Ex4/p6whxJIRNKWaIqQXdzhz/4z/9PNKJ/xr/87/8fNDsN0vmSTC4oFiueHp8RNWM6vS677/6Adz7+Y0IZehVUKKrFmKpaYCu67dx55HqYYGjC8WXDN9KzMy6//SsIVwz6bbY2dnS9e6VYLha0+g167Q5VVjKXOZPhEDHo8N6Ne3STJpGKydOMMivJViuuzq745vEzrhs5rb0fcO/OHTpRTJEtUZVkMhwyWywZTeZcLsccPdinG/cpehtEskTlSxr9PsswwhoZGgxsPVyKRpiz1S5IRECZFRRpynx8TZotmVxPuRgP6R8O+PD9d/ltr7+Z5S7WiVTTviFetf5V/5syGqo53AoHzqp/bU0wY5mptohdmlBNg18fnDRf8pv7BhvGRGMdU9XM2bN1y3qtUPYH3rrQPPPCfX99MepdiPwd9N/2Hftcy5QUik6RcnR9zPuNkquNLl9Wc+Yn35B0tyi7Wy6tQ9Tu7O4nPD64jqyuQ/isIuLBQGaUluk6a9oLU/BxcfeOcYtrd5e5h7KoBJ+uY3PWA2EFyfqKCcM0HRLYrKsHR2oOaYWLZaR+8Fa71UAnibWoLI3U66jr79c7gEkzTz9XvVYWEGhpzj7L057E/p+19fVrYIV8JTSSuS6o6piFWqkiHx5Qfq/8PtqfOoYdh4IoVK53fIJ2SYOikkZBkApFRZIIZqtlza1shuJ21IzLrZfZW3NepaqBw+yeoYnI/m2/61InrfB2hKpX1tGrqk2qZv3qhwhk4L1q7j3HrL3CJZXbLecRX1f+lTuPdmdAamu/pp38JsXfUqXtHwNCAzAde6lZ4crzDeXWxjy3Bs7xn9d4U20p/Bmr0ZL5Xbn1VE6pQSlKEdLYvUd7skCUGen0grOzC8SgwU8efohIc769GHIdB+zudsnyEgWEQUgYJ2zv7FCGEXfu3CedzXh6dknr/h7DV98gHm4Qh4KT1y8ZHPS5sbPF4vKa61lG2d/hzv17vPj2z9m4ucX2oE8nEvT7G5TLjPHlJd98+g3/w7/+U0Z5QX/QZTlaUZQ5jXaLG3fuUeUZi8WMOI6Jg4Bmo0lUSS7HcwgCirKCMObh9/4ejahD3V0tUCxHF2RlBkoQxm0Gg32EDdu5ffKcUiyXpNcvCOOCJI5BKa4vr1gul7RaTXr9Hpv9NqrIOT+94mp6xWB/wM2bR3TbPUQhKbKULF2xmC44e33J19884dX4ks7NTXrbO7TCBvlySbqaM7kcczm6ZjKfIToJ7//oXbY6G1QrwTDoUcmCKILZMqNqhh6zJUDj1PSpaYqURlBSpQVFNiddLFllKVcnZ6Rhwf79bQ6ObrLV2+G3vf5Glruqc/T6mTAHaw1ERZ1wa+CtGiHXXzVo3tqnXtDiXMb2TNmN9iA75S+yI1CqpkwoJ2h8XIZaqtuvz9vlS9qxvImm87LPPauuqNR/d5fWNPcQ6FY5W9Nz4vmIMs/oVguS4THZ5BLx6Mduder3fHP5zQK5d2w1K7/oNVI3LnXL8Oz99TZal79w7llbk9668gNjZkks1qIW+6397RQ7o8R4dvzm6thR1+gL1gRynbKsOlZvSaq7bpmQyxs+cGHu5mPseKHqhJYX1t41bwr9mHnX9VH7bKwAFHbuHoDp1trsjS+CWhOERsmwgsvlTtszhfECBLoIik2DU2adFLrWPkq4eL9CoMoCVWUUK10DobIAPrNnOkxkhYanE4ubsELIjtPqeGsn3K6nEKZnmlPDnPvdt1kVtSvtKQ/qdwP0OIWhG4H1xBrXuymDu343nJAUtTfU2hfqXr2ahws/OWEOqFO6BK7fwLoBY6jJx9wMILImyGuS3PHAGq8QTht582Weg++eaMN5+qRqirRnWyhFwpI4CFHZjNVkRH9/g/v37rO8nvDq5JJfPT5D7EFna48bB9skQcRyMmI6vuZ6mRE02hw/O+Py9JRZ3KHX7PDow7cJVkuuh1f093fY6ifMTQe5r4+vyDY2efuD73JxdcW97zygHUXkiyWj4SmnJ2e8fPaKb44veOfjd/kgieiGLf4//92/QoSCZpJw+fWn/N//w/8ZFYTkZYGkRdJIaCIQgaDRjOltDhgc3uTw9jtmT4zqrwSJgvHpM2SVUVUFwfYhcdJ28seBhh0tKtKrM149/QwR5URRSLfXYmdrm+3tHe1pDBWR0AC2uB2wt7HPWw8fEmQFqqpYrlJmixl5vmK1zHj96pzHx68pUNx4cJvtXp9sPmMxHnF2esar0xOCXsydd+5wY3uPdnOAKkOW2ZKsFZPIEqF0LfySwLQZtl5wTRuNoGKzWVIulqQrXaXv6tUpabCkv9/h1uEuWxsHBDJCFr+JnvTrd1rumhwt8dWIFSvr32TUa1SOi7Bbf6PVDwTO3SmFPyPOBeMYas0ONQOwFbKs0m4FqHLPtuOrgXEMM6/r6Nbaqmv6dg52XP56rxisKy7r8Lk3VQWx/j930ANgoyNYHHb5hH0uy3doHu0TLiJ6rS2m/DobsH+/qQRZ97nv8e5/d+ttBb0VWPgULD0eZXKCAyeUBII6/7I8Tri5e+XAsiarNrh9qf3T21pX4yxDryE43kBlW33SqimWHoXZHF3gpI6JMJQh/KBt9TFHY5Zua/QnqDF4LHbaVu+r+XeUF1kSi8qtVf0TVghoISaotT9F4wBseWa3Lsqn2IUC3Q7YPE8qXcxFKWF6VdsxKVPOQCs1Eo1cj8qUWCiKxQRZVZQqqq0mDtxnww3K3NOfP+H22OgO/m+7CkbAuN0wCLA3UyID3riBPdu1DJO6YK4/pU5n3m2+fgJst691DA01vmWfXVNi3TOVpgvhUfhCKIJQV+WLAv1+UZnOcgqDZjfzNkwZpbF0Ve18O2FTj7G417pCaWdsdS2h/FrqNRCOV9l1CVQB2QSCgHyxIOm32D48pJilnL54xWfPTliIFrutHkkUI6RCyYLlbMFoNGOVl9x48JCmiLnKK65GE242OnR7PUQ5ZXd3G5EFrK4uefH8FZ88PWGUlbzz9n1ePn7McL5ACBhfXXH+6jXn51eMhxNGacXhw3u8/+g2250W//5P/gOrLEOEIY1Gg7jZ4O67DwgJCL6uiNsxnUaTYpExnMzY2OhzeOcWu7ffptPf1Gtuwa6BIp+OyZZXKCWRlSTe2CMUkfeGKn+qhJJkl2csh8/Y2esThFpJbjQbVGXBYlEym07Z3+9TAHGzwfbhPq1Wg7hSlEVBtlqxXEzJVxnj8YSXT895dnLC9WSCSCKObuxRTBbIAFAV4+GQzn6PBw9vcbB/m1bQIl8WpKuMySIja8e0VIGQikUOMrENrIWhJW3WNERBtZiRL8Ys5teUVU7Qlmxt7XC0f4NW3CIIG8hKkc3n/LbX78xzr/8EL7frMW3xxne9u0x52lb+YHmmra/SDNIgei0BG3J21dKwcdZ1wSHXBgco7YZ3lkjtozp70H8qP641pWXd5tAGq6oJSguiwjH5GitxbqJ6M5A3ITQgyKOQ7tE+Z+2Q660D0sWS+XhGN4gIOESujfa3af3rO6Bqv9kZrCkpvLEPYDqlWce6PyB10JdjWGv38OEM+/91R69vH+vbpELNn+MYGKaKob+7BUthBLSfmUulxOSO18cghB+54YbKmOTC7aG5qfC7I8189PPMLisvhOx7q/mMfHZJmLTp9weEjTZKCGRZQhCYgjQG0SxTZJAgkKgyp8gzknYfWWZEZYYCwqhBFTWplKAcvyIkRfVvoaKmVg3SGQSSrNElq0KDmsacEUW0uoZiRda5gZTQXA5BpghVILM5KgqoROhSGKMyIyhTvRvpjLy3SxA2PRUpjZGx6WqibgpbpCA1grJvYZVu3D56z5rZB/BeoDWuIWpZN069X8tOwAk+P5S1Kn3U9mpNkah/Vr+BF74KrYAJQFa6Fn8VQBS+gc8wP4PAeoyMyzjQCpOS9bAOroOe3S/7UqwDNv3i64lZAK5NgXTFlYQ+E0JVFNmcQBY0GxE7gyOKyZRXT17wl58+5jSrePf7v8/Nm7fo93oIFNPRiOHwmuFwSIbQ+ezjKbPFnN7+HgQxSRSw0WyTX7xgfn7M8fErruZLPvzBB7SyHHH7JreP7vIXf/GY589eEN7Z49577/LOO/DLn/0F4+cvSVoNmnGDsycv+eU3z+jtbjIIFbt7m2wMukRJAyrY7PeI+i2ObhyyvJ6xvbnNsswIA8Xy/Jjjp5/y1r3vu3TUAMHq6jVVmSJEQFqV7BzcJTDZJVbWeAyEIh1d8/UXn0CYg1Q0mgm9foud7U0GvQH3Ht6luHjNaDVncOOQRhwTKUG2WFKVKePxmLTIuD6b8OXjJwzTJds395gN54yjgluHB5DmnE0ndAZt3vr4Ef2tLVqNDo0gocpK8pVOp1u0domaG8jJMUGjSZi0dajIsiKMp0ZIwmJFupqiZIaqClQMhzdv02736DS7CCko04xVWrL62wp31HpMSb/lj5MV8E6sGOJ0liRacDs3ak1rXVMIlD/0linbNqtWDNStAleoxJ8Ws0gmZmiFgzk1de+B0etcitja+3VFwc5B+Af5ea+V5vG8xD2tth61edbuTIViXkR879YhN+/c4JcvL/jiq+d0WhUiDp2lsKaeuDetpu8ZoR2MqD3ECkCH7oZavNvHuu14tfvrTVXhDeZc2+dfm2/tZXOF/VoZZqX8/q8pCrbBjDmotliO29v6y0zYaeqqxiSVH7v1zPiF9/Rh98wWT/G1EGtuekNT/gzAdHLJ6vHPeHp8ye39HYgCokaXRqtL1Gww2L1N1OxxeXVF9vLfs7d7yI2dDuPJFeevX3Ljxh2UVHT3d7i8nrGcTNm//Q697iYqGnH5+iXd7Jrm5k2WWU4+PqEQGe2tO7TauqJVKtoIJVmlczbSrynKnOHpKzpJQLM55MVoSZqXpBffsAo3kSQEoqLR6hCsTlhdfEtve5/r109o3v8JbL+LLgyz7oPS7nkvnepCRtTW022PeJNu/Ampg0LrAtwKYa9aep7i1WJt3eiMBL+f9b/suX6TVDTvqIncmlbr3fOexpyXRoJ0uWxmVoYIHDJb4IB7As+D7CxVfa3M2bIYEmuzOcJyV9k/1dp7bm5CgCxotRo0ypJO3GN6ecb1+TmPTy64+e597gZN8nabVrNJHEaMLi6ZTScslnOuh0Oa23tQSk7PzhnlBbdv3CaMG7RDxeXxU9Lz55yfnVBFIe9//7tsBfDFJ1/z7OxXPNk+pQwCNrY2efettyjGUx5/9S3fnL3m4O4Be0cHBGWBikJWRUF/s8Og3SQMYTmZQbyi2+oRJIKDvR2EKjk42uKPt37AdLbkenhJVmaU+YxKKAe0DKQkn1xTyVxvWdSk2dut7bf3hyggKHPK5ZjDox2iRqDbCDdjmo2EVjOhyisml5ewnLD71i1aIgYlyVZaCc/TJePxlOcvXjOrMu599yE/2txhfjzk9JNjGs2IxXTJRbVANSIa7RYH+wc0ogaRClkt52RZxjJPKaIWqneLQDQIA0jTlKrbBoRp0YzhQYpQlYTVgmK1YJFO2NjqsLuxQ7/TJ6hAlRVVWVLkJcvJgsnfHi1fO5TKu1ytO1fVD5oDXdl4aH25vQCqRbzWrGVRY8KeWawLAidQLQO30k9p11m92MebAor6tb9msb/JEvBEUscTmEnI+pzsPbCIac+43hTyfiDCLgatOKS5OeCujDg+mdDJE/I41mho2xrS3N9qpH7N9U9XrE54oWXHpZWgutngmUZ9rggLYqsFWqwyYWZXL7Rgf5O1mQq0u9Z6MqRVFgQoJEp5AVK/k+7eZajFga2Uj2++MWKH07AhBmHHghM4QW3NnWXpKLIukurjscIflxsthVdeBApkwcvTS+arguViTKAWnA2XbPVatBoBl9/+Bf2NbbKiIKmmhCl0u49QqkU/3GX39iF5IQmbLRalJE0XBIyp0jmNOCRKAlrNgmL+hKuzK6qyIgoE86vX/L2/8zGzIuTrb04QqqACos2ARbrk6sVzxEaT+P4u80wwX6SI159x8fqcLC9pJDFb25vs7vYY9BNkOaHdSZiffU27fUDY2raTdjSkwyt6ZWy7WRua0CtoAhkW9W6u813Wfu0kIFRQ2w//PUvbwidY1va9piQ4Iez/s7273c6q+jXKFJoJjOdGcxJhAHCB4Sp1cCq18dn7+cJI9hwoR2+eOr3Rogyf8fF677fSyqu95je9vEBfU4rMGSnSJYcbPZppRnp9xsXZGaNVynsfPmSn1+dXT0cMBhv02m3yrCBqNEgaLVqtlO3tLTo72yynU8IwYO/oBtu9AVGrjVqOSFCcXpzROdjm0d07qFXO8bMTno9W/MUXnzMr4f6jD0AI5ldDnn/yOZ89fcLmo3t8971H3Di4QX4941evL1kuU5QKWIaw2e/SbDV49eKMJ+OXRO0W28sV06og2dpmPh0TxQ0SQoJWAkVWM1gEqigoZtdARVUpgsEm3Y09bBhp3cwIUKXk+bdfc3b1mDCETqdNp9Pl8MYuvY0jDg83qRYzJlFGp90jDhSykKxmC64vLnl5+pqKCtEN+eDhWxzt3KCcloyW50glkWXFq9eX3Drc5u7NI3b6G/RaPYpVyjJdkpclRVowvJxwGQ5oNwcEUkG5Im73SIncgdH1jAxSvspIp9cIldPf22R/e59QCqIgQpQlRZ6SZylZVjK8uOLs/H9RP3d+gzvMf+bZpHCHW715vfnnXOg1g+pNa9keSn1AlNtgV03r167zWrWydxDCu/PX5Jo5MkbguCpStedZ7dgevjp6uj5vz7Le+GnG7MMJ9tl+LFZ8yto3VCAQYajTnQSUpg2nZWjWPVUXcfVnWmWpPhZrXbkfSseVtYIm1udgvqfRz2rt3n4FjMIj1p+t11AYxG9ddCujCApwsDLM3JUDkQm73sqz2aqm0PhKasL0LfCrbunFYTCMoLFgSnudB2HqS5WSVGVBVZWIsiBfzoASQUyUNEg2dvV9hd7M55//nPz8CePZnMU8Jax0+dpVKpmvSsKwoKoEaZbSjAQHO332D25z5+4DGt1t0jxje+ceotmjkHNCVbLRjmnsbxEECqlKqkrSbieEVBRVQZHnlFVFWlVUec6r02vCZpdvnjzm6HCPRqvBPIXJfMXF1YSNXotFWjKazLkezdna7LO102cyXpAtMzb6HWRV0mltMVuuiBstltcTosvPaR9+bM6FAhFB3EKJQLcBFqar3RsCWakSUZV6/43lr0ADzUy/1nUv3bpXT60fTrOf9SDXmmnghKWjMFGrtUDN01AT7foGNSVZmFx6g6FRRph7ULD0yH4Lhqx5b9apDrMOln8I9wzfwtc+15z7NXxJ/USotR96JPZsed6mELQ7HaplynJ8wej8nOFswu1H99gfbHL81QsmecR+r4sIQzq9BkkSE4cBUahPUtBu0+92OHv+kqLZpSoFnaRJM04Zja7ZuneDuzdvko4mnL8+5+XVmM9fnJFVsH24z7sP7/H5J58Tjs8YXl7R2dnk0cP7bA02SQiZzZZ888Vzom6LgIrJ5ZDXL084unODvaN9ok6X1XLJ8fPXjK4mBI2Yzc0+u3sHXJyd0trc4IiAkACVLplNrwllyWJ2QaFy0rwguXVEq9FxKFhB6RYqQBIEght37rB71CJOQhpxQiigqnKOnz7nF1d/yf7RFj/8vfdpxQ2CKKCczxheXjBejgg7glu3b3O0f0gzaJKnBelixfNvn/Py8pzevX3iXpO333+X/U4fVZak8zlpllKkGddnQ548PublxRXRvQe8++BHGggZBWQlFCJyvCqsEYNUAhmE7O5ts9Hr0hAxqiwosxRZ5JRFxWKWM5/NOT295uTibyncbUdLy2DXOiU5sIhyhxirMXsFdf1lLvMHyRJ5TUvGi3hRO1Suw1f9yppWrFHRBiCjPBOvCxr3nlDeMlO159lvOs1DuBKi+k7Ku++sEVC7znoi6hbnr4/X3slK+1rHPflz9BEAAQAASURBVAPWSQLJyua9GgAWzgrQ19fXyT5IoVA1wWtUg7WB2PedEFwblw9pvDl+O2r3Xi0e6rwfNe3CM+j69ev3XPMSmP3xGAov2B1l2DkiECKgqiqdtlTfZwGz0RWr86d0Oh36N9/RgsbQ5nx0SRhHvPrVzxg0BdM0Q8wv6HRaZLKknE0Z7N0h6B0wOHrIJK14/Jf/P+LlGUWxJEja3L2zR7pKCRPB9VUGQcj27haXF0O6rYRKCVqtDoP+NrPZgrzQisyqkBSrEVWREve6JGEESUij1aEsdeWpRqib/8hCw/BCBK1mTBnA6ekl9x9tcPvWAa1mA4KQWVoSxG3u3D4giBNGi4pCAUFAlmVEUQBUNBoBeZbSDhqcX1yyvdlllEORlSzOX9AsJnTCikKWEPVobNyl6N6imx2zCHeoohZl1NFLbJa6sbqkM/lLggDKPCOKEpbNu1RBjGrtEhZzVuFAKwlCQBAhkiZUpaazsAEyBymJBMgwMR2xalaYUTjWoiuGWqx30B48q0K+yXYsnsOe/1pNOEO/yijSWrms4YE1HsWFiYRTpENhlVnfMtlRseWDdZyKYo3WtbGgfFaFEmvnQ3sk/P/9GVIkasFqeokcXjAaXfDux+/SC1tMLkZ8+fyc8PYDM26pfxaFrpaWpSyWCw6P7jK6HjFZzhkc3iYvS/q9LunZtzQ2Omy3B6wmC67OhxxfzPj6yTm5iNg92mf/9k1iJF8+eU4jyvn4g/cRZcH+7j4bnT7ZdM7l5RUvL66J4pjz82uiRkx3t8N/+X/4r7i72SNdrRieXvHq9Tl/+q//jH/zF79gVZbEG30ObxwhOz22tg6RszF//t//v3j59FckrYRHN7eosoLxLKOXC7L5iKSzgwWI6oUzan5ZMRuPUHFKEDQgjggUtLpt7t2/RbeZgExpxA3iMKKczxleXDBcjGluNrl74yHb7W1kXrCaLSnKkuV0QZrlZGXOVqfB2w8fsNXqQ16Q5SuqrGA6nXH++orT83NGqxkPv3ufRv+IGAllhqQkag2wmApLIEp52hpstOlEOTLLkTHIoiBfZaT5nHyR8+L5KcPpiCIM2bu9/ya1u9fvANQphAwMmt3o1C6nVIt6GyerX6UPkBs3UEszMoARC2Cyri2XG107CPoACweEsn287Y2F0YKtW04/3uZbK/e3+759VwpUoHTfa/OmE4o1E3sd0at/X7PIzVedsLQCyD3IKgNeiFnXs7acpQbmgLYohERUOYEMCcoMkSSm9rC3DvxY1gUnRrDbTwI79bpxVLvSrbOoJyatv+rMZt3IUOu/16zk9euUs+Z+08uOB7U+Xr2OdsN0f/tA6PxxKQSrNGP67Fc04pD+5hbx9h13baXg4uQFL37+P/Hhe+8yuPk2lSlXP18tefJn/5Ibb33Ay6efsdtv8eR0RCAV+1tdGt02jSLj5ZPPUdWnBJ/8KwoiQkKiZkJWhARBwHy5YLPfJ6tglYNQJWWW86MP3+Leo4ecvHhMK1ZU6YJWe58oadDuQJQ0CKuK1VKxTEuCICCMG1pIlCXlYkIoIM0jQinZ7CTkRcHJq1Pm8zlyf5Ot3R1u39gjSpqMxjOWZclgc4NmS6OAFQEHu9sc7W+Rr1YEQcBga5PLYcGLMahxSZou+P0PWlwO5zw/GaOqkg/elsQbPX712Qs67YiPPygpRs/odAom469oDXa5jm/S3LgBIoRA0C7O2Cu/oQpiLmYFMgh49eVnPLy5wacvU965t0WSw97OBjJPUWVO1TwiDAVhBKtwHzl+BrJAZGOyeAfR3mRJA3YeEVQFYT6FqkAFEaEqKfKl9rIkXXr9AVE+IS8kKkpImi3yUhEnDVRVUsqAuNVFSklDzUApShVA2CAPuhAIVBAjRIhVlVWQ4FLkgFJ5LEpQ4yVS1f1u64ZHTRd15+BNxbauBf/aSa7xJMtt7ZcFFQ05IRYlk2zJo9/7Id2kxcXxMcdPX/P0YsTf/YNbJFHMarXSvLZYEYuS2fUl16M520VOFIaEzSY725uUNIiyERtbfeLFkvnVKZeXQ37x2TPmpSJsRzy6ccj1bMIPv/chT//yc5LOBh9+73t0ZU7R7NJrdcjmS85Pz7gaTzmZjJkFio2dDYpFymJV8Gc/+yu6f/dH7HYSHn3wiHce3eMf/PFP+PJXX/Hf/LN/we6NI3oEyFsfcuvmIy5/8XPOn33Gcjqk0dlEiIL5ZMaL5+d0ZysWwwv+8L/8v9COOr6QjVsxSaPVQAYZg36XjY0O3WaTMis5Ozlla6vNfq9JuVwyW2UMT084m15y9OCIezdukYgEWUry1ZJ8MWU2TXn57Ixnr16RqpLb94+4vbOLzHJWq5TJdMT1+RXj5ZLT1+fsvr3HDx5+j1A2Ga4SFgpCVUBZsMwFIq7ts+XxKOIYGo2QVquJzAqyRUpVFSwnUyaTaxarjDTI2Lq1wdGt2zSK5m/hrn+T2vJYXm4Fh3e0WQFck2Z4aelFglwj0V8jbycs6khT6+at6hq6f2JNZnuhtuYpqFulws/BPtnVyrBnTNbR2vUBviGyagdXvPFMj0+oudLW7qF/C52VoauO2XrnSgUgQppxzCQI1lbM3cZVdrPr7+POwgjTX7cYhF+P2mzqVntd8NdXil/7e81f4JasDjCUDm1d9wT8ujLi/q+8670oCsrZFfnogoKQUlaIYkEYxaTzCaiQ0+sR5fVzeknI24/eIWn1IG5RiYjT4+ecPfucXjNhPh6RXr9ifv2KoJxwejGCxQWt+Wt++NFDWoMNXk5+wejqmvnrGWEYEscRspB0EkUjUqAC9jbarOYprWaXdruNlCWtKCCh4mivz/D8gr1+g4PdDmEx597NA1rdNlmWM59PkPMJoXFTI6HVTIiSBpVSlEVKqDKSZpObNz+grGB4dUW6SlnkE8q84J1Hb9Fod2k1QwaDAdlyQStJmAhBnuUUSYSsIIla5HnG5uamFm6NJkEUc/HkJTJpoKQkCkPSrOTJqwmVlLSbCWmqKLKC0XTB1WRJJROuhjNeHx9T3tyikCHp7IJx+hX3799FqQbt3iad1dckQQPZ7DC/nHA9L01PasH9rQhVSPaPjvjB97/H8y9+wcnxlzC5Yu+t36PZ7LBMr0i2DggQnD6d8uBAUlVTvnh6hsrHRKIkysbs3rpJb7DNfHTF5cVTFsslYaPFbrxLsbhiWVREUUCyjJkuUvq9HlmeMp6VdAZ9VJlyb1eyGF5SZQuC5iYTsU+YJBQiJq8UcZigwg6L7iPSrNTpSKqC3iFEbXfGLMFKc/jXWgzXqduBXuvU/sYho8Yz7Cmp8446o0HzwEApGo2YEMnB3Xu0o4jLly94+fKYT5++YvfeW7SiRKOohSCTFavZjNVyhhIRUlVkqxVpliMaHVQV0Oxv0AwqgnzFfD5jOlny4vSKux88YKAkZ6ni9oN3+OLLbzja3WG1s8GwHBOUJQtZ8fCtB8jFkvFwSDLoIoKIZrtLu9ckCiHejxBhgMgKfvav/gP9XpOjmwfcv7FHtlrS6zR5eOOAVClkEvHw9/6QuFT84n/6H1hOrplfX3Nw7wBZFKzSFFnliCplef6c6XxCc9CtsWnt6wiKHEFOuxkTBzC+GHJeZLQ6HTa3Nug1IM1WxO0Gi8UMug0+evQxW90esYigrEiXC9I0ZTFZ8PrlJf/uZ3/JL188Y+/BAd/7+EOaBOTzGVeXl6RlzmQyZZlIPviDD9jZ2KDfGpBNchbLjLJfIcolcSMmbrQo6jzUcONQlGw2C7qxAKmoSslyvmA2uWY6mTCejAl6MTfeOuLGwS1YwWK4+g3Up1+/w3K3FqwWHJVzzhuaM9Rbt2+FK4RveZnyHlvl05SEcUvpNCzpG1LUIOKerr37TIr6ouiXrGnUisA8S18fmOfUU0usULYAOXug6lboeswP97seh5/grx3smjXv/sYsgBV4SudHR4EgsDnNpt51oULySjf3EK5+dy2ybGKKLu3ezmmNe9Rfws/XrpmV//YPu4NKeZelNZxtLNSCLWoAO6vl6HCFMEJarV3nNqqucLhFs0qWjrnPF0uefPpzqsvHlGVBVVS0gyWBTFFKkVaKyWRFUUkGnTad/gYnLz5DPPsFjfYm7c19ovkJ97uSzs42URTy6i//O3rNgLLRYnxyyo3NHu892KMKY1Kp6A46jK8udcGLxRyZNIhCTRPTWYYgYH9rg3s3NkkaDRqNhE6rSasREycRw9GA/O0bhMWCnc02UQyNRodWbwMlIq7PTymzJWEUQFWSVzmL6cwpfoFQZErSbLWoNnpUVYgqZuTLCZ9/+gVFqTg82OPO7RvsHt0niGKSRoJS0Gm3efzNYy4vrsiKghCBUhUi1CU7k0ZEFPW4c/cRRVU6S3X8i88Im10aYUzYzCnzjDIIiJI2G5sDwkbC08sFVdTnsxdz3n+wR5ml7PWasLrk7GzMwVZMo9vg85Hi7u0WbTEminPaB/skQcXOzhbz6YLV9Slf/eovGJ2/Jko6LGbXXD/7nFvv/ZjpJGV0dUpnY4N2b0B/q898tGSSCWLOUVIRBnC72WI6HJIuV+RlRVkppsMpSgZ02yEnr87obfTo9TvEQcB8ldFqxPS6gixLESIniDtIGbDKFAEpYXNJmKcsMkFWQTzo0QxL/upf/b9ZiQZhCL1uwsGHf0yjf0igSk3CQYIUIVQlIRIZJk7BFlLW+JPF/Gv3+JsuNM2LfBEJm+JrsTGYcEDNMgFs69KMpNMlrGYsxxNePnnBF69PufXuXQ5vv8Wg3SZpNFAorl6dcHF6yjTNSPOSjc1twqrkmydPad16izCKidpd4uqK+dU5l8cvuV6uePu777AbN3n67IzOwU02Nvt8/4ffYbPb4da9u/zVNz/jy2+e8/H3PiBSklWRsXV0SFAo/vlXz4h7LXb3tzQIrMyRVUlguq398uuv+A8/W/H2+++ishVNEXA2mpJsC/YPbtNobDC7vOTk6VekwQrZjOj0OlR5ymqxotloECoFWcE8nbO/4XmRNRYmF6dcXZyyuduh04rZ2B7QaTa5vLhkcnVBsy2hERIQs3Vjn41Bl27SoFylKAV5uSJbriiKktk45esvn/PJ8+eoRsjHf/BdjnqbLMcTFtMZF5eXLEXOrbcOSVpttnq7hASUq5zxaMZoCo3BkkAUrBZLsiR0fNMbvpJOlLMRLhCyJE8zlssVq+Wc8WjIUmZ0b2zw4OFD2mGXUEXM0wWT0f+C2vIeuyzWCM1bpqKW7mGIWpnEFWVJXLpVt/mkVtRIpQxBW2FqidqXHVQG7WoF2jrmWb/psXfmHujv6q5SNUsd/SzlkLPr6WB60U2cqy6kzctXEtNr4Utv1tfkDfXc3l8qAqHv7SqbBT7FzN5DSomQGQRtVGCBaPXMAyvkdZjAhQawYQw7JhvPq1nJAMqMQfmwhP+05hGoTd4X5qirPDXcudEebIphIOoCXtSUHrvufn0qqRiPhrz+5Z8wPf6GTjOhncREUclmr8HoasFgZ5/peMxgv0fY6NLd2Obt2/ucDMdEVU7cbFIsh/T6MbPFklCllGVApxVS5Dlx3GJ/q0vQShgOr9g5umO8JZJA6BiqlBVVlYOCioqj3R0azSYEijJb0YgUISFltmCZK0QQkC5zRtdDdrua4Wy1QrZu3CZMWqiwyU6/RSU1Wl3IEoGkFBGVqVleFhllnhEEMYUIkSqg37rDfDpllZU0Wn0qCZ12i83tHYIwIopiyrJEyYh33nkESB3nb7Yo8pQwCJnPZ4RxzGKRsrk9oD/oUZSS45Mres2YG3taWSnKgrKqCAOttH/nw7dRCIqyIolj3cgmFBRKkcuKRRGQKcH5pKQoBU+Phww2NhmOptyMZkzPc3KVEkX3KVTA/PQxIp8ynBd0B10K0eAv/vwL3prHXF1PaMQh7ddfUwYxjehtEhXw9PkrDg53aScR0zTl5OSc4+fPNL0DnVaTtFScXV5zsLdBWpawWHJ8cs3e1iavhnN+8PHbNKuK68WSoooYbQVMZxkn45JONydfLDnY2+b4+BUrAh60O/TaCc1GQJZLOq0Gu+2S4sXP2L2xTzsQXJ1fkzW2yMMenTCFaslSbdJo96FK6YYlcZJQhm065YylbFAFMbKzjRABUkRUYUKSjsmvnxIN9mgkAaXoEFY5QTEjiGOiMKIiZhl0yaKeV6hVRaAk5XyIzKZkixlPvnrMLBT89I++R1GEqDgijCKSJGE6njAcjomaTZJKMpssePLsBfcf5IgkZHN7CxUGNIMKliMuXzxlXEx5/zvv0VqmvH75msX2u+zduku7m3PQboII+fb8klyWHJ9d8Y/29mi3W8RBj3KZcvrsFc9eHFNFcH15SX/QpRmFZGVOvprT29zgj9/5MZOza/7tn/2Kf/pf/adEMkJET5nmU2TUIAwbDM++QYpKg0w3e8RIqiKFQENu8yxjuFjxUZRormxrWKgAVEnUaDDY2qTVDEEKrs6ueLVc0Nvo000U6fU55Uafnf1b9HpdEhGiigJZ5GSrFdPFjCIrOXl+yq++fszx9BoVQ9KI6bRahFIwns65Ho3p7m9z1Guxtb1LKEJiFZFnOXmek60yXnzzinv7d1BJSrM3YCkSg8syydpCEVDRFisoVyxWC9LZjOVsyDKdU7UU9+88pBU16bb6xKpNOp2znC64uvpbAuoCnyBihFa92Yf/aS1f4cSrtfqtCe6yOt1bVpSv9bFFeCW1ZnH+/zn7r27J0vTOD/u9bpuwJ45Nn5VZvqvad6PhBgNgQKNFkaJIiZTWLLkrfQV9C30A3XBpLfJGZokUl0SNwQyEgWkM0L58VlX6PD7stq/TxRsnM3tGgEScu5N5YkfsHRH7eZ7/8zfpL7fUqquCxGvHiVePja+92qsC9aoNuGKq/hp8flUYtwX71QR/VehfP5+X8/Nr/uFX5/A6m/gVHPeKoS225Jmr80hTmxQpBOTVBJwe67sWYa6yjK+wC37NQvR1glvcNiVXDcrr5fzVNXx1Xa9q66sCHF97lpcXhFdX4FXr9FrJfu3avTrm6xyBCC9d3K5e18trsp1O2nrFxS//CXvxnPG1EVmWUWhDJDIYDvDeMRqN2RlqsswgswnZcESZBW5MJVKUhChoRU5mwFmHFBoXPesm8PWjE67tNwxHI6p1xWa1YXbNQxRMTMANHL5vMUNBZgRaSkLvmYwLZDGkr2qMydHFECEVLlh0nqWVCg2DUYmXgabZ4EeSzWpOUA1SZWSxBjzOS+TW1Mc6sG3KYZbyyhlQoQd7RKmRNCACmQqErsJ6gc8kMfTpCFrjnCVET4yBGDzRgxU13nuCsOR5xmQ6ZW8GeV5g8hxBQN+YcXkypa4qvOsJIaC0RimJd5bgPCF4XNeDVmgp2XjPelWzNxsgEIwGBTvjESI67t69S9N59o6uMQ4Z4+CJeg+7nmNGR5ycr5llkaFTZMslVRwhTIlbnSC8YqBbRrKnNJbLZ88ZzI64ODvnztEE10c8mk8fPGKgBaWx9EEDEUPPRDWodcd+KTGlwvoCawq06Tm5WHI4VUg9oLeejx9uGKopnS4QwTBfdwxngsWyQgwnvHh+TpFl7MxG9Iuew1nOfunxbs1OtkMmM56vjmnsU/quR+7uk8lIaT9lMshYrB2NVEyzDWYwROQjVnVkZ+8aX//0T/HBMdudMji8z4SGp89/iV0MuXH7iKcPnmL2rzHOLcGu2J0VLI7nLIsP4NbvEGNqvKS3KGHxmyVNfcEnP/05fpjxne+8j64dD2u4fnAdZwPr9QZrHflgwMXZCXXbo7Tk2tEh3/zuN8jUkKY4YrmuUX2NXV1QjDTfv/dt7Kbl+YsLfv58we677zDa22XICc46fLthfXmG0Jrf+K0fcbQzRVvLen7B4nzBv/qTH3PZdJTTARfHLzhf5PzDP/xd3rhzxMFsytdffs23vvkNfv7Hf8E7H9znD/7wh+h1yyeh509/9TFyOEMLQ3V+RsRzeLBDK8Hg8dYDCpSiyHPmviUvR7weSCWB2Pa8+OJj2m4O0VDmgulswuHhHvVmTWzW9L5jMiwYaY0OEaLDxYALjq7raZuWr3/1kM9OnjO7fcikKDl7dgH7BdePDlifL3n88Clr5fjN775F3ksGgyHaRerNhnqzJqDYnK15+KtfUbx5hztvX6O1EldkiSAewxbdFmQykvmKtqtYLxcI2dP7isFuye7+HrPdG+iowUeaek21WrJaLdl0NX/bz99Z3JvVKTJ4ZDYEJFJrolRbqcsWQn+txMRtgXo1iYuXzmJXitLXZ+GrBKqryhCuWI8vy8hrDcIV7LL9pyt52Cvi3hV0/VLs9W/ve39NerM9zssiFF8WvTT1X031V7P966/9VZCIeO1w6dlfti2p2IqIiIHoPW3dpClztocUYK6OFgISjyam6T54VGhB8JLF+zrqgHjt6mwbELltXK58N2R4VUD/LTg9vmqAfh2d+PXr9W++A6/BIy9//fWinv7x19u11yf9f7vpiESUq/ju/SlVBbG3mDxHSsVytUIqzXRnilSGttpAiNw5mlJHwacPvqLfLCH6rSGIJ5eSICR12yeEQ0omZUbwnuPzM4aZZj6/IHz2CTrP2dWR4nBG3zYoLVEyrUvKwYgQLHnpiJmiyFtyCVpAMcp5fvaCTdVysVixWa155/ohUdzG+0jvLEIYbOiROIwEigJignKdlISuT98fJbhic0+mMzyG0ETqukMrDbpERcGgLAFQWmKMwjqFVCl4I3iPj4FMS9ouoKVkNBqwd7BLRCKFQmlDCA6lNXduHBGEetnYSSmQQuK9wkVPmZcE77C2R0qFEJLxdMJ0IDBKMV9l6fscJCrzeKnJixGXHaiuJx/NcOszmpAhZzdocZBniFAhiyl37k0piwLfOiKWqi/R45J1J/nqwRnvvHsfIRV13zMcDYlC0ncWg0FpyXBnl+F4QnVxShta8lzSWsHB7iF1EBzupWIc5YDxKLC/W3J+doYVOcUwwzrPaJyz2TQcHB3ikExHI+q6Y39vl7o/4WjHIHrLVPdMxmMMOdI7QrthpjymvaAmY2h6vEuZ69K14C4p2jNqNWbgJarMWV1cEsshzckF5w9O+M1v36Wva0bjEiElq3XL15szvvvuDc5enNHqGYXoeXi85uCwp8gKond0rmeYObRdszw/Z+/uNd59733ipuLr0zPE7Abr5YautxSDAVlRcu36DfKi5PnjR/Rtj9GKdjHn4+OnvP3tGeRjJuMBEzFld/o2/WbF6bMzfvrLr/nFouGP/pGkCA2LxQKZKVy94hu/9X1+8X/555S5oVmuWNcNl4sFi+MLvnx6yr333+Tk64f0UnH/g9/gxlvv88ZRiSDyox/9ECMlH/zgW6j9HdZn58zKIZkxjK/fZeetH6BixHYLbr93F9qai4szguuJUqKMRltL9I7RzoxhXqY7zBbtTfXAMRwXFMUOWa6oqpbLswWD4YBBIfGu4/DWdY5uvEFhDMJaWmfp+o7NfMmzp8dUtqcbCX7/h/+AiRry5V9+wrgoGN6+Tubg2ekJ+dEON/Z3mWQjtIi4psP2ybbW2cDpszM+//ILLuYnnD35CPHWBMwBQqhfM10TEVToIdR43+Oaho1fs3vtgOuHN8hkhgoKQsDWHdViwfJizmK+xAbL3/bzdxb3n/3X/3tkcOSjA7zQlIMxyhSovEBmGTFqJuM9Du9/G5/lsJ1LrxBvGX99qt3yw1/d3l+D3F/fc1+VlSu7xdcLw5XD2dVUfWXgIrjaY702Ub8sMNt58bU98OtFR7z8q/hyaEe8et1Xb8DLknjVAHBli/KqYF29GCFA4pECdlVHYRp+9vnH2NPHvPN7/xEmeEJ1QhTf5vz5MwqdU9DjY48KGiMVzq7ARRjsAhJpG6LOiUIjiKjgiEIRhSCTHhccNhqI4LgKetmef3x1poFX8jr+DSSE185F8IqP8FLx/28eh1eox6uHv2omXjEft1c8ipcIydU7rQQoJSkHAyq7JIaA9R4pApmRrFeWGD196+ml58mzp4QYcM2aTAYGRY6NEeuAEInOMiwkznm0hHK/xEcYRY0UgnqzZL1epDhc2zM0mmuzPWazHdgmsBltiDFB0hApjEZrRZZlRKDMdvBOMl9e0vUNl2dzHnz+FTsf3EUPZ7jQk2U5Mab2rK83RG9TwxZi2o+LgIwSgSdGxcnpGSEGlK9pN3OctRBaWifI8xwpJEpomrql63qsc6yrNUbrxDuJkq7v8EoyiDnJCS2tfoRISBExGbgosZUMCTB5hpQSosH5wGBQEkMkeEuMAaNzpBacP/uUXLRcP7jL09MNq9UcIxVSG5arDmsd2lnk5ozQdwj1AhfhuR8gvUCKHWzj6VxAZgOUMYQgcbnh3CkIEAy0dYf3kaZuabqAjwEpFLUWvHXvNtPJhOA855cVQZVJRmcki02NEaCUwtrA5XnN3TduMRoMCP2Gi+WKYC3OOoSSeA8mVwQbabqOzjtiWPPh20dkoWNdtxRlQVEMkEFxcz9nvGowAaTscN5wuo7cvTtjaHoyHDIoWh/IRY8Okm5xzHhaYnVOCJG9iaFdzdnNLapZsF5NaYOnqRY8Oi4ZCMNPf/EV79+Ycvbglyz7yAc//IfIqJDASDa4Zsns5hF7+0eETcWLp8c8eHbK7ug6O2UJUuNdIOiIlJGyyLl1+2ZaO0nJelVxeP2I1fyS8Z1v4KszpIDN+SUvHj/jZ59+RQW8+859ys0JLzqPdC2HRxOmR0fsTmYM9f87rYaMYry3x3i6g1/31N5RdC1I2L9xh/d/5z9kuTzl081zDiZZgspFhEzxg+9+yMnpKePhlKpakx++wezwPqq3iNChtWDTNrgY2VQtWipyleDzLkRGd95FioTwCRFe3oK75YJHX32GVC2jUcHh3h7Xb15DRQiuYbgzYDo7wDsJJo1q1XrNxWLB8vySJ6cvuPPhfb595x7aBjZnG7784hHLviHOV3QicP+9t9idzpC9RXlP9IG+bwnWs1nVfPnRY7549pzLs1P2r++wPxsgo6MVehs49Op+KYlI12P7mov5CaO9kjd332aQ5eSmRAuNbVps39HWNc2m5uR4zpePntGq/t+8eb/8+TuL+0B0kEe8e0qIkUUVcFbgEFzOV5RSczA7wHQL8qO3KWbXkMUIR9ySSK6qgeCVScoretjV4BdeEk6uBHJXheHVXP/aoLmd2n8dYo/El43AqxL+6vK9jhrIq6X0yxJ9pSkXL6dJcQW7XxX5ly/iygDjqqi9akauuAAT6Xl/z1FojyJghCPESLg94vo3vsP0oEYLgZI7XMzPWa8uycuSd66NqUaSGDw7UWDymrP5muXqHC8Nl8++pjx4C4YHHEnP3ulHPNt7l7OYc/roI8rNYw6/9Y9oiwNsvWK0eYjYvUkjhzgMr7b7V+gEr85je3UFIe3zxZW+9hUJMgqJbRtCV0MMSJMmYiW22IxSqGKQSHkRvLUIkg7N9g3RB0T0ICRSJaOTerOi6C5o2gqCp20avPEg0+pjs1qiXUtWjiizguh6EB0CgdERFSVIQa40g0Knz5fYIihhK6G74n/IVwWNq1VBKBBCMZ2WTGcTtFLJMcoHlE4TrVAaoVQKE5EmFXklknSREefnFxwPM+q6JsaezGQomfaesa2JSiGVwYeA0ir5gwsN+EQqjQ6kQQtF0jskmFxrBSpDy23jGmO63kqj5DbuViTEQojUJCiu/l1CTO2XUgofHMSItz1tU2OyNDUKBF2bJHPWWUIQeO/wzifuB4IQNhDh6ZNz7l8fQAgcXbvBaFiitaYsh3jvOT87ozQatKJbL8kGU/rNGpFlSK3pmzXjfIh3HXuHNxAxYl1PlmV0vWM8nrG4OOXwoEcET2MtUiqC95isYDgccrQ/YzabsVrMCSiElPRdQ56XKBxVtWF2cEi1uGA8HnB4dMigyFlfHDOZ3aOtKqIIKKlSlKuHptmQlSO0MQghGeSKrrYMdq5hZjN0PkDGiBrsU1eCqBXR9YRyxLjUXDawv3+LUsLJ2QVmOKSvN5STEd4FBjrlDggt6doOORoz3L/J2cOvaGow4xkf3N3DaMFiHnnr/j4o+O43cmq/Yv3JP2dw413ynRvQXICM7OwcIpqW06dP+ejTR3xx2fLddzOUzhiUA/q2xwVP37dY19N1LRHHdH+Pt964S+VKThpJZjKy3rF49JAHn/yCufe8+523GQs4K+5x+eI5Zn/GZDpgPJsxNCrJlvOcYlCQRcHy9JTj5yf85K8+5qKqCZeS1nvy4QSVj/j4p3/M/+u/+T/y3gdvcv+t23z3w/cZ6IJldYwxnnrdsHA9RoPBEfqOrz75mMYvaNdrohC0VUN0kYuTC/S4RLjAdP86Rurtuu8Vxmok3H7jNlluGeQZea7xnU0IqfBMD/Ypp0cUqqBbr1nOzzk7ec7StUz2pvzGO99jNBgx0APaapUy531P11nOTi8RWcbuZIexUfTWEWygXq+pqoazk3MulmtWvuHo9gGr83OCapmMc6TKiXrwsm5dIbGSSHQdveuYHs6Y7e4yKUt0lDjr6GMi9nVtx7pq6H3g7MWCr54+ZnZr9LfW77+zuG9WG7LCIDJBaz0aSZ4phPfsTQaEAFW/5md//X8ny0ccHdxlfOMbZLMbTGcHUAyJUif/7m3xeB0Cjy/flCtd6dX/XxV3fi1pLLC1trxijL+cSFMB9+LKEuYVZBx5Tce9LeAhvvzlZUkT8DL7+nUZ10ty4K+Bzbx63pen9op6OJOeb9/dpRzliK2FbG898sc/5q3jNcWjggB0f/CHxGvX2b12A2LERsHxfIlwDhEjLsKzXlGtzojCIXcPefTkc+Llv2T/1nUePvqEr8NPKI/uszx5QeyOWRSGRZxhfEe2/Jyb3/iAXh5i9QyZ5UipkwGHUCDT1J/CxdLFyt2aor6k3b1D2zuE61DlBC8km/kZJ7/8FxT9AklMUi5nUSo1RUor3v69/4xWjkEqnn72Y4b1M3rn6etL8jJLU7EyCKVxztO1DSjBJlcMjKYwkiBSBGOmM0LoQAmiArkt5M56lMmQJkOLlHeePh0KqVIzIreFPMSIEmaLyAQyGRFaEnxEiJiCQnxAyxT1KaKDKHDOppuGMhidpcZFJSWGMRlKerSMGJUzGo+4k2W4rkIrQTU/oVcTpKwoVI/tQiq+ApQydL3naj+odJrIet8SMkBIhG1wzrFuO4LvsEFj8PR9h3cOqTOctQTnUAKC9wTfkxUmBU0IR7AtvkvGMoSIFkkoWS0uaNcXTG+8Qec9WqbGQ2uN7JIB03Q8JnhoncfbHm8tg+GAf/rgOYt5we9O99k0a6Lv6GOkq8r0ee1a1huLMprQtekz3TVIRhgpQUq0EtTrhqaqIARC9OlcIqyX8+3qQCFRGKlQBFCS4WTMIM+5OHlMVy/xLjC/WOCDhxgxeo2RFts3BF9j2xbfagaZpZOKvq3oakfTdhijMdogtOIq7Mb7QF5oCMk8yNsWpTOc3SDkEVpJUBmxmGIyTXAOgcYDznlMUVKqiMpyismMfDgmAioCXUNfr4g2YvA01ZJhMePajV2MFthNT7U+gyiwztHWDisl3jsKpRCiwq+eYKa7+GbOZGeKaxrmZxc8fnrKs8WGwXhK9J6uT+sobTR0novLRSqOXcdgusN79+9hW4cNkWy0i/aW9vgxjz//FLE35XffexexXPKLry/IbtwlO39BVmim0wGTYYkRERU8wTnOX5zx+WbJ10+OOTo44vnJJW+9fw/VtFxoiRmNyfOCsZZoIXj24pS+q/n4k6/5T/63/zvGu5rNs4+ovSWf7nDvvQ/YH0jOlw1PH37Jwl4yzjVOKuaLDevzJWerFTez65Q6Y3Z0HY14iUZtb8O0m4ovP/kCL2omo5L9g12Gg5LpdMiNvR0GeU4Igrar6GxD11fIseLewV32dw8YmgF9VdMu5qyXGy6Xa2wUWNvz3gfv8fbtOxjnsMHSrVYs6zX1csPz43NOlksO7hzw7W+9yaDPOf/sOVF6FhfnLG82MM0IUb5mpBS3y4SALg17e2O0F0Sf+DR91xOjo2971vMNjx8+48XJGS/OTrnczLk+3ftb6/ffPbmPBvhgk4mID6kohABtR55lWJdsQl3v6LsF9XKO+/SvabqG6c4hd978AUdvfpvxzXdxW4LUVUGMr9tA8YqA9Uon/2qWT1Pm665s2yn5ZQHfTvhhuxZ4LehBiBSFefWYq5H1aiZ9Wau3rykStkVe/hoLHV6H8q+akavfJK9b5RqZCk7a+W4RixB4p68ZPPgsFXwJ/Oj79OLWVmKTCoeSCqWTH7YCUBqVFQigJbCuVsjzL7nMNyyxrOsV/VlkimP36IAvnzzg8vKSzdkZt3ZGNDLwZL5ivlzgYwrD0EKlm1BRUmYGoTOkMUipKUJLbhQ2n6FiQJkcqwbsH11n8+Qh8fxT9naG3HrzbT757FNsvUYYhZKK6AQnf/Pfkg13EARudJdkpqcYZojdcZIRhUDVdDSLU3LhyFTGxdkCWxhCmbM7m+KyNOEYBUFBpzV5lhGCS4YjEYzWGC2T53KwhGC3ssqtTFBIxFZq+WuTevQEfxVqk9ZCSqQ9uxECqSQiSISGYZEKkifJ2K4MjqKTRB3RKn1GpDaUArzRqai2c4SokPmI4CK9SGiFUhlNt0AoDcrggkM5vZVQgW9XKKkTkuQ6bu0WCKmIQqEQdJdPkSo1Z33fQ9cwlS1SS3CO4DyDzCGlpr5ccLx4ilYKMz6ia+aIUCN9IA9L2vPPuFh3ZNoQgLpxTMoMHwInXrEzGRCzIfPLS3ZGGZcnlvs3d9nfG/Lk0VN8gMHAUG1afNQMRiPapqHIcnywRNvThfQelHnErtdYZ7F9BJkhpEGIq6x6QWcTw7lre6ztKYsM+ore9vgYsbanLUtm4ynT3SOa9ZrxTKKUpKs25GVJrmG9XDDd22W1XDEYFOTDg7TSODmnKPcJZk0IPkHXJJKr8xYRPL31ZFoxLAeEJkOaPBVKrVFSIbOc4cQwGg+xdc14/xrOuoQuSUm9XtDWDbv7gqbvyTKDkAYpckaj65RlSVNVlMOS6c6YrLmkXV+wf3TI7OA6TdsTvCczGURH1zZ471Aqo3KKQCQTFgmsLxf88lcfI8YT/uE/+CYff72iMFlqOrIc7xwheLTWrDcrLs8vcSLw8JNPWPSRg7e+Q9Rj8m7J6vkD9t/Y4+6tW4g+8vnjM1bDG3xwbY9sJrl9fUKpBbmAdrPh+Nkxi8Uly6qmG+TkgwFff/aQ4d1rfOfeTf7iL35K3/VkqkBYz8FOyTfeeYdv/s63uDPK+LOffka9XHH29GNu72XMny943GbcEwfs6IzdwmP7mq7v0TGycQ06btlU3tNbS5CG8e7Ryxn4ZSIhUEzGvP2NdxGioiwMw2GZUuiwDGixXYfSPV5ETp+f0siG2/fusj85QEfwTYOt16wWay5PFvz1X/ySn3z6KWpvyL/77/8BI2nom4r1csV6MWe12XB6Pmdyc49vv3eD/dk+mSiYP7zE5JqhHNAua4QZ4ESeIqBfzZYIIlordsZjMqEgOvrG4Qh469ksaxbzCx59fczJ4oLZtR3en93jxfFzytHfZkH2/6O4d02NyRJDz2idulsiuiyonWBT1XS9w1sLQqGFIMszjCmRCh599Zc8+eon3L3zLd74zh8i9q7jpNneZH/dEvIVRP6y3v/aFXi56v319fFr+HL65VVSmnh5jKth/9Ua+NXG96rQw6+7z70ECIi/1gRcobpXr+PfDKtRwFBGtJbbaS15tKkYMUoi8jwdQwpkkb+c6FKLAIXWiLg1tkEwLTLiYICQkdgHNn1geXLKo0cPUqyoyZHyydY7Ok3h5cBgJpKQaT568AVItYWkrp5HEZ2lqWtskyYEsQ3TWFcVRhqyzOCCoFqumU4HzL75XQ6UoZzN+OzJI87rluVykVQDddqZC6lYLn9JluVbiaNElCMyHJlWSKkRQtD1Pa6qOJQSvZNzY/+A4aTgb372Kfd6TygHXJ6fMxwNMVphMo21nuhtKsJScu3giPl6hbOOpqnYGY4ZaU9ja/q4bar81ul+C/FHH15JI8VWwbHN7VZCbmFqQEh8CLigaK3AtQvKQpENB1u0wrFa94yNZ7Y7Ae9w3iOFIB9OqOsG2/c03Rm50RitabsOT4br2pQrXRY4a9FZTogBKSXB9xiT03vw1iGkRqgcGXqUNpyfX+D6jjwT5MWQKBTew7DMaQKIIMhyg1LQdT2j0QDnQ2pYvccowbrqiTGgtcT2HatVhYsCIRTrao0IECWcLwSz/Ru0bcPlxRmRQGY05/M11jmkD0it0ZmhbytenF4AgsNr11hcnCYvB2UYFjlxsUhIiUzrsRAD68UFXdfTO0ueF6AEeeGxfUM+HOJPobNhe0MHpQWjHcOqjjw+/5xgFV0diD6idUauctquQeA4OT1nPB7jbSCGF2gh2aw7fHVB7zqEAKs0WZ5jpE7f4RBRWuKcpa5qquUSYQz5aETTOoyMdF3PxfEpizOB85HqwRNGowFGK6QxDFQyUHn01UOqtmY2m9A1PTFG8ixDa00IkK8z7GbOUDtCW7OZ19TrJZ3LqNqGnXFJkUliiPgoWK578vGUQf4U2Zyzmh/z9OEzzMEOP/z2t2nOz9m9Pubo6IhMbfk4WuL7gFKK1WLF8ckJo90x2fQad0YzmigYDAraJ78i2y25OZvQzDdcnC/4+PEzvvc//h2+eadgoG8hQs9qfsl8vWG5XjHcmYIxTHcmGKHoVy0fP37O937rWxx//ZRFVbHxng9+448o8gHHruX7P/oO12/MuHu4y/nzE86/+FN++J1v0F0u+LpWHH3vj1Ci4OSiYdy5l6vA3nnW6xolBSOTmk8bApOdGbPZHsr2L/eKQkg0sLk45fnjh1zMXzDd2+HGtSO8t9zdH9Fv1oTJhNVyxXxxSjkb8cHtNzFRYxD0TUu7WdFUG5q25cXTc/7ml5/wdHHB2/ffZ1YO6Tc1zXrFcr3hxbNj/FBx54N7XL92k0IYCB67brh4dsq626CHYNcNZ+fn7Jk1GsuVGZmMgVEWmA0duZQoKbAu0PUtfdNgbc9mseHZ8Qv0vuF3f+OHDNWA80cLjvb32T34e07ubdMlgk+m0FvWbPQRK2Cx3NBvWqR6ZXt/584t9O6E5mLOYDThbLWgWmz49NO/4OTZF9x663vc+ubvESe7OK7MHV6v1Ns7y1VhfYnOX1nQvtqmX8HIiKvavt0lx9cGNbZa7pePeW3K51WFji/B+9cbjKtJXLyU38XtQV4K2rbQgnitG5BERjlIKbfFdNtGeIvTCjUcpT2wlMT8devAtG19SXraPk75FolFCp0KfzGg6ix2XaOixeRDoky2qN45XAjEYAm2QaqCru8wWhERaKkwJk8Qc56RlwNc2yb5k4gE16cGRSgQKYnIe8/lRc0//eN/QpFnBBFp247nL54mZrnW5CZjUGYgJbazaKVAaqQx5NJQuY5GSnwM9H1HbBvuv3GXT796xkwMKIZDZLXBypzPz1cwgJEwxD7S1e2WX7GhUHLb5WqKoaXu4eGj5yznCz548zu8f2vMzz79BcdSgQTfdBztTVi0Di0F07zkfL1m4B3vfOMDnp09TuiAEDgkQhqUzmjbjs46outofUaoV2AV5XDAar5idzal7S1uvWZQaLx3RN8jlAIP0XYgIsFHslJBDGRa42JAGINUoLVE67T3ToQgRZBy20T3yfIZTfTgg0RpjZSRSAtCJM1vFNTrChEtwQd8cBid0zQVbeuIMVCUaaUgJRip2d2ZMSxLqnrNziAnU5IgDVJleNdsvycRGyVGGw5u3+bs7BRjFKOyoGk7XN/g2xaZ5+TlgGa9ZFk1OBcYT3Jcowk+UPU9Xmj6rqParLh+4xbPnj7FhUhdlHS2wztP5xqmN3KUSARGbUHIiCoN3imqvmN1WVHUiulumWx7UQQf6NtIaBXVAgpVoMoB7aoiRJFUBW2TpH0h4qNHaUM50ezs5pSjiMnBdQHnoH/sidbQbyJdFRBaoLUh/4tfkZu0IirGEqQFKVBKc3KRmhyBIStypLBI3VNOBCG0ZDoggk7Ss1XFi4sKbTSnmWK1qdmdJnvcprtgOEy78tPOUObp+6wzyaay1G7B3lTi6wWnp8dkB0O+/81v0hyf8/GDZ2T3PkycihARISCR9H3ParnAWUfb9Xz47n2OZjNWoWC9aXmjUFDC3vSI1bNnPDs+5WcfP+bxcsP76znPnz5mZ5gxHg5QUlN3G27fv49ynq5uefbVY7548pTj2rF7/YC4WfP0Yk5Umr2j25RKgVvxze9/wN19wfL0gsdfPeXycsnwSPOTv/gxrtzn3nf/EaUe4V58RTAFp+fPiDLZTButKIZDfviD3+bjn/wEoRSD4ZAbh/sMTr7AnT7GFANs59KKUWpK1/LmzRsMSsXs2i6HhzP2pkO4fMHy/DHeHTK7do87u28wHo8plSJ6T2g7umZD27a4IFidVfzpn/+EJ5eXqMJw7cYhGYJ6tWZ+seTh06fonYx33rvP0fho608SaaqG5emSB48e4kzi6TjrCb3H1CeEvkObHK0kPkQKXTA2OUZEonPE4AjeUS0XXC4vqX3HrQ+usz/bZ1zMaBY9rj/n6K0bvHnz3t9av/9uE5sQ8S4SnCOqQJ4bnIdV21NtGpQLiZQiINeGkE3o24DRGeeXFzSrDcELnHc8OXvMi7PHHH/5S77/7/yv4NqdVzD9q3Ka9tv/VlBK5GVaE7yE7l/txHlZsl9Z2F7J0dgiBK9r6HmNPPfqeKmev84KuDoOr1zsBPir1iDEl1Dw1WsTBIY5W3e5FGWKADUsEf/Rf4y3NkGwEdxkskUwto+MkRg9IsSXx1KhRtMTo0CJyKAoUEoRlU6T6HZqvNKWW2eJPkF3HosWMv1dDDgR8Ntdcx5Lms2aPEss7GJ2xGZ5icIRpKapK6KrEzFNpHVB1XWvyGkiTcOhtxilttfLI0TEaEPYQuc700vWm4reJta4VJJMG1arJc4FlqtLiixjUOZ01uMFFM2c3mhW1hOlRksNQtAJgQ0BZz2nZ2dMpmPm8zneRh48+QTnjnhyuaEVIjVXUmBXjhfH5+yPc/T1EcsO9HjKn376BNusEVLgfEAwJy8vMMqA63FESiVpOseNw326Z3OyZxvqOhL8KaXpGeQFi3XPaHZAW1Xs7F+H0KKCINcKYyK27dB5gdKgpYJCg9tmUhPwvSczCuv7ZEvse7QMuOjSZG8UvU08EaUUIqYGOPYdveuxvaWtHEWegzTEkFzpBsMOGfuEdCiJUAGjI1IbYrQ4Z8hMi/MCkWWpkZMSKRVSabxUUIxYrVbJe8F3+M6S6QyCRGcCoSDahlEBd25c5+zinKO9gsPxAVWzYpgN2fQtZb7Dcl2wtz/l9jVJ07cMVY7HkgvD8fqSv37wCIykyDV7u8n9D3pCUAxHGpDkWUoFdK3HC89m06fvtRdMj6bsZfucX1bcur5PUWoyEcH3BG9xIRlaNW3Hk+ac4+WavJMYE/HeobXC9mC7QHSC2e4hA5URgycES9dVqNzjiGRZzvlyznA45rxdpHtCiAz7McRAa9eMxgVFockzBRboMrIwQWYCjKNTPXriqOSaPjb4PLCqFuQqI7qetQxEEbCVI1MGGUaocJ3F+SnDwxn37r+J3FhevDjh0ydnvHvTU1c1w9EQvGBTNyyWa5arDa21jHemjEzGx7/4hNG9b7A/HVN2pxTasn72go8++ZIvj8/ZPTjktz58k/fevMvlk2d89vNnlNMpb7//HgdH1/CbNadPj2nrjp/++GeYXDPePeCb791jLCPnz88YxCGD8ZiZv+D2QDAd5lw+/oo//hc/xuY5oszw1hHkhKNb7xBWc06ePkeGnlFZYJuKw4MDHhw/IzMK3/X8yZ/9Ce26RmqBRzKd7RPWa1rV4LzDu4C3PdL2eAGnF3MuN3OqbkO9ukTe2mPaXGA1HNy8zmy6S5lptEiDl3c9zvU4Z6lWDQ8fv+DFxZw2WJCwczTjm9/9EOUFx6fnrH3Pzfdu88ad25S6REuD7Wr6psc1LSdPTjlrF6ht8EtTtfzqpx/z9V7DtVvXePfeLpMioYej0qCCp23TUNAsVywXF2w2S+Qk597RTQ5391Axo6scq8slF9WSb3zvLa6ND/5+xb00JV2MqSMRgqaPWOuQXjCdHbBZXDIZDRmPxwzKASHWbOZL1otLZADb+eQSFyOaRIY7efEVl1/9gsPdI/qswBGS+Uy4IkUokjY8QrxiqYeXMrYYBUIEongVGxq2EHwkJELSy8K83ZJHuPLGu2JLhytl17auvy65ezk2x6vafDXhX3HHQwp1uGpAAkSxNaAhEvG09RqtE2EtbhPMhFFgFFcthG3qV97UUmIjtJsVkkTACiEQbUXsO6TyiCjIsEl+lBd4n5iiwntQMkGwwWFUDkrjRUjTo9ZbbkSHFhGhBD4GQvC0tkNLyVBEisEYbEVUmtBs0AryosT5bVcUAlpoglbJk8B50BEXSGiDBCU0USic7SBGTi+SP7rIcqSSOJearj4E8J6Ip/ORVWcxJqN3HfO2JjiHzIqtZClwpZ+PIRBDwOQZj58lf/4sL9hUS07OnlBVzVb6pUAongB4x8kzzy8/+ghtDIOyROepmxZSIIXG2halJCYf0vc9SsBgOGS53vDk6VOESNN22/fsDMd47xkOBjxdjplXz+mahrJ4RO8FuW94+85t2tUllcqY7V8nugZra4osI7huaz4D1/aucTk/BxUoJBgBVoD1nsxoRoMB2fgGZ48ekWcSFQJlmRMRrOs1dd2zM84oC4/I93DOEKwn4AhBYkziclTrmmJ/lDgXqkCpCKRI2cnggFhfIpVESo3UGmNK6hCpNzXTYUHfNonM2HWYLMeJpIbQUpDnCt91VFWL9QJcZNW0SJGxqGqil1QOTFXh+0jddmSlYd027BbQ24bdwYjLTcv5vOX8cUPXNUhtmI4nibhbNwjh0XlN3wSqxhEI3L51iEYyMTmbZsNXj1/wg2+/x95siu16Mj1kbHpsW/PVYsF0Z8wXJyfUPpE3L+ZzymlGmQfWq5bhYMj92ze5vjNjfXHGYGfM1BS4vmfR1WTTI7JyxqZ+wKjcBbfg+PiYZbUhjgN13dLZjvNTByqtyHCwM5wwKCvGRYF1DVXd4mOEEGm6gDaKtuqQBWSZYn3SEj20XWAwyji8tsf85IRiUnL/zXfo50tOnz7ls6+eUkdJURSMRiNWyzVtXad7avQMp2Ok0Tg8y9WanVs38AQOdwxl84zLR5/zxS8/4SyX/NF/8I8Yd5YnbUdb1ezv70JT87OvHnPnrXdYnZ5w/uI5v/r5p2zahvHRDjf3Dxkd7PDOm/c4/uQBg4M97mHo9RDjW06++Ii/+vwXnF4uaYWC5YJnL06JwxFHO0fML/8clGJnb4e7t/a4c/M2Jk648b/+nxD+i47Ltsc5z2KxYONXFHnJ/v4ewVo+fvAwkSlzxTDP2NQNUSlcCGR5ho+OetPh+orDUaA0PXv373M4O0CGdO/AR2xraZua9cWck5NzPv3sS/qh4eBoxq3Da3z54gRTGGzV8OlHD2hDy403b3J9/4DZaAffefq2wfkeHzy9j1u0pEUJiW97NosVm/4haz/g6+M1v/j4Ee+/tcO33tljku/hXKReL7DS4+qO1jcMDkccXr/ObHqEspK2qunqluXFAp95dneGBOv+fsV9ZRO014dArB2ZkORlgVaKYaF479sfogdDbNchsLS9pTYGZEbX9/gQid7jt0U5ek/E8id/8n/l4POfsXvjPrfe+TYhyxhnULm0ZxN9Qz7Zx4xmoLPt5H01zV7ljIktC35LqBBXPHnP62EOV3vzl4X+avzeFupfj2G5qu0vfeTShLWF8xFiS9JKKwIvBIrEwr7qDXoR+Pzhl2yeneBDh22a9Dda4lzA2T6R7bRhU/d0XUe0HqlSR3qx3CT3sZCe83ix4vRsiUDiguRsVdGtF/gYsNaDdS/dXAMQnEcoiTYKUASRiELpnCWjyRQbQClBkUM5miSNtErvrc8VOM/BtdtU6zWj0RgXPX0f0k7TWcqyoG17okp2qa7tECLB/tpkqLwg6g6jDQiF0i1eSIrhANv24BISIXWG1AZtDEhB13QUWYHXGb7rEVphsiKhOYTU7ftk2iCFIjoH29x7pXPaumIwmdE1NU3bomUgKwogUhYlTdfiQ6CxPcqnd10Yg21rrO0gesrSESKEELEh0tYNTaiIBIq8wJQlZ+sVzgXs6TFaCaROGu0YBSEkot2L+RyBSKEkDx5SFDluC9uF4FE6keSGgzNWVQXRk2uJj6+Y/nmmMVIyGJ/S1GsgUGjDaJARTZmIkLJgfukxxhHjMYNygHM9aivd2zjFnoqcrDWrrqJza3Kt2TQByAm5YrFZs1OOsFWPlBCDg+BpfMtwOETEPiWthS7J19ourXhyjQ9J1bHqBAd7NxlmJaumZVYcEIPk2mRA3wfeu3Of9XqJzATjbEToI7PRmPXZJbPyELUX8c05s4lgOpnx53/1M4rRkBBHfPPdd1menTOb7vDwyRMm0wEvzs8IUlHEgh99631c1yCdYuc3brEz3cFnAy4XxxTlgGW74XDvJnH9nF5m3Lme8fzZCaUZUHUNPzx6k5NNzbWJxOwf8vv/4A85f/yIZq1Yt4of/NY/ojAZT589ZvfoBtPBhCd7d1icvcAUu/BszWR2g2Jnl+G4JI8dj548ZdV4mnnNbDbj3tEN6qpCmwFtvaTMS7KiwNuOcqjAdexNDM55stwg7SkffPAhRipOz07Z2Z0yMhWz4RS7rpkfn/CzX37OR88v2HnjLXZ2piAEm82GyWRM8JGyzOjblmq5RirDW/fucHm2QU13kDHQXzzl6eOvGb51yP/ogw9g3fHpp1/x2aLisy8es1mueH56yf4bb/D2s+d8/PAhK2fZv3GN+cWfcu2tuyzmS/rY8Tc//SXd5YoNUErLul3xWVsxPz/B9RVV16NNTmEKegr6KvDMzTFFzs07d7j+xg0+fPOATAaUMohOU19c8of/s/+c/XLI488f8Nd/+Zdc/+Bd7t69TYHi7Nljbt6/y3A8JsSIGQ1TCNHpCbt7Myaj6xzs73CwMyHOn1IOOib5kK7uyTOB6xyu7+i6jtXlnMdfPuJ4veD6h3d47623YeOovlhwMNtJJlBCMDzY5fbRLvvjMZkQuM6mNZkL9E3PxYs5J5cLnp28ICpB31naTc2ms5S6ojt/SK33CXGfTx4uuXFrl/2Bpe9b+r6m9RaRKW7eeZPZcJfQWYSLBOex1lNtaharilp0dE2DFH9PE5v84EbaF4ZIoRR5pinyDGMMJs9SFm5mcIMh69UaaSJ7BzNmu9cJIdB2HW3bJT/kAJ3zONtDiCy6Beef/xVfPvgbvIDd8ZQuQLWcU0aHGu8y2r+FnBwg8wEyK9LUHhIknBjmAi3ZWsHKLVScIH0tJFGIrXTuymNesm2WQSY/8e2wT5Qi7fFCRMq0s/LiZSQECImMST9cyIA0gs4GpoMRdQj0tkcJwVR13Bw9ZynPt48MuBjpvadte3AeJdPOfdV6fO8I1oKKuBA5XzRUdUUMKUzneNHw/PgyeX8LxabpcC55LkepwAekSGQloRRRqlQgRCo0RLBhq10PgbppsUGgQvIOt2GN73pGOztEKQnR4zuLGZbUXY+IG6RUuAht0yQXvV5jrQUfkx46BkQMWBuS05noUUpjXUTGjigl3npc06GUgmJAV9VI4YkO+q7HKA0CepeaLOv91nktuaINRmPWvkpZ597jXUDrPK0kZI4Ngrb3EFucD2iVYX0Amz4b9araIisC7z06ExR5gfeAVIzGU7qttjuE9H7pANFkjEdDqk2F9R7XWmyfuAneJ7jcSJl23t4TfFpr9DFyZd/Q98mX/Sq62Du3lWNpXBtJFRXabVCA3nr/BwudiNSrZWoovU8OeDEitaezEb9NRFPGICUczKZoDb6PtAiqasPo8A7Pzi/pmiqlwrWWvCzItCQQMcrQ9p7FfIUkMiwN2VAhMoMDmvWCiCUEj9EGo3N88EQfCVJjheTo2l3OXzyh6TraPmJ7SyYFzgJGsqpWSBGpqyWExFJXqmSwtwtYDgvPwewuQSia3vOf/ye/j4qOKCRGSQ6GE4JruPvD23QO3nM7CKNx3pPrjkxqsqxAVStk16CZMNMtMjg6b7k8P2d3kNNUFd26YndnRKkl7/3ubzCb7XDgLAUSMxkzVY6NEcl7nUhoK7pqhXIbYn3JcnFKc/qAnVxR1XNu396hPHwDM9xDqsg087xxNEVmJX3TIqXA4Kn7AeVgyGqc09meoDNyNUSGBqEGhBioVxta22BGBavnT7hx7ZCjkQEJs519ZHXG8YvHPD+eI2ZTfrA341mT07Qd470J733jfZqqYj6f0/U9q8WSqqm4deuIyydPOXE5+8MO6UueP3rI7I1rvHHvDu5yzvNn53zy7Iznm4bzyyXPz5d0wLcOj/jlRx9xcHjAH/3we/zNP/0zZJZxcTGnaxo+fONtfvij77J8+JyPvnrK+XyDRzA/P6UsBzw7PSEUhumwZGc8Ynd3RtU5hJRM93Z58637lBr61hGUQErPr37+Ka1SHB7u8P6du3z45h2WTx4RR54//L13kW7Mb/7oe7R9wMV032jrDcE2TCYFvZWslxX1puJicMq964brhzfQeoqXGd5HQnTU6w2X8wWNaxlc3+GHv/EOd4/u0s1XnDx/wbOnz0FJMpmQ0Zt3bjDOCgaZwvUWby1tU1GtWp49PebJo2NeLC6JoifPDMtFy3q5ofWe3fEE1VV8+vEXqN0Dvvd7P2Q2zgk2sF5tkMqST4bMJrsMBkOMLHAi4tuOvnPYrqPvetarFW1Z0dYVwav/L5X7/4/iXpVH5EZi8pzLpkF4T8Rga4esQWuP0qmYOpcBgdAn2C+GiIsFPktTyk6RU0ZBbx1RSbreYbYUdhEi6xgTCWt6RBs9MQg21hIvnqGVJssLeudfGXQQiCHSb2VNIkbKTNPaiAup4EghGWaa4WjI2XqF8GnKlwh6n7TkShvCli2dG4NQiqqpiD4xwCMxmY9cOeiJSJmV9CExwK1LBhUJshbcyhy//b0CZMD1XSruAVxIN0clFAGRnMSsQwlJ1AIpFb3vEMKS5yoVuQA+JPQkhZpYurYjRIEPAYFFCrklX8Wt3tmh2PIS/dY0KCZpnQyRrmmI0uCjx8WIColJHZZLpEoEIu8c3vYIa6m9RW5hf7VtKHzfI33AeZ98toNPNsMiOeNF7yCCVpoY/JarqOi820qPeghp9eBDTGRAbbaTrcBkmohPqEBfp/9zgaZt8X2CuqJQJDObiGxrotF0bUPf9YB4yYW4ep7OWpQQaJHWH/QVXd2g85IQoK6axNhQ6SvhrU373eDxbbdlzwegBwJCSlzvwDuyzG6TCUUieWGJXTI7UjLhDrpPHXaMghD9y124NiYFCG1DBbRS1NYRQ6AsCu6/mZLglstLLs/O2ESBzpL6Yb2ukSqR7YwxKfzGdpRFnr5/PmCMZDKaoMsZT56dQUifmfZsjjGaTBtG4wG7B0OKcof5ckHtOlSzoNwpcU3D6mKe5EMqMZIH5ZC9/T2WF4u00pLw9VfPyYqcVhqaTcfy4ozpbI/V/JJiPNwaihRoVXB+eoaPnsF4nNwIm4rxeMp6vaDvG/KiBGHYrJYMyowYBG1TMd7bY3B0G99UPPryF/TOQvSEGCkGg61ZT0QXJcOyoTQKv7Uh9kjGkxFv3Nnn/bdvosoRWima9ZKu71FNR1t31CeX/PT0KVImtUqMgS9+8efgkwPk2fGAcrSDyDOa0OGLgkIbfHuBrS8oh2POulWS93WpCbQhMiwzZIxovWGvjIiBoHWWs/NzgghkwkLwZECZa0wW8CLg1o/JlGByeA/ZzLl88ZRHT54iD27wW2/c5fnDF1yc99s9Y0Rv7ZO1EvR1Q3COUmXY9YqHm4rdt75NEVpU59m7fcQo02xO55yeXPLpg2f87IsnPF+1RG1QpuDG0RH/i3/8P+X2dET0gcXjp3z06VeY6RApNd/84Qf84//0P2DsAp0EEyUuJKfQenGJjxN2dvewMRC6jun9m7wxLWlaj5CGqm5oj79m2VmeuR6pJTJIPvr5L/ECVidPeNxc4jcdL87PUbR8/tGXDKShXlWcritMMSBGSdO1vPfuHQZEVm3NaDygzA2HhyOuHw1RQiOykixG2mpN2zScHB9T03N49wZ3j24gXCBsWur5hqdfPuN4NcfjidFzeLjLOCsQwRFtpG9bNvMVq/WaLz99RFsKJrfHXLt7wGcfPeJsdcF6WXOx2jA+HJJrTfSRXMHzx19T1XfRMuK8QxWG6e6M8WTGUJeE3hJcl5BJ62jrmsXpgp/+1Sd8cfqQ937zDicPz+ij47f/PsW92JtSGMX+qGRfKV6czQlCEG1HFgKjwYiVD/i+IyiYbC0lF3XD2OQMypzhsCAKSe4cSmdctJaz1QKvFErIJAGyPQ5PdBFpcmIMKCmRIcmBJkWBUZJVl6IDlYiUWjHKMqazHb48mUPfMRqPoG4p85zz5RopBUFKrAyYgabpLCbKxBaPaSJINpuOUWEQRrFpO2Km8M6BDCA0IPCQCrwUOC3I9ACjBdFZnPOoKFIMaViTGYkQbosWCISWSOuRmUk7Y0AIjfSJz6BJ0i1tDEYrlNAYpQkhMJ0M2VQdwTmcD2xah2/SsVPojE8NElfWuTFN0m2fCv42nOWKQOi8g60sLkmA0nsdosX1EWsT9CoQICUxBHz0CJ+O460j+kRaCCEmZr5LRTsK6GNAeUkIEX8lLSMmbff2fU3PFyAGQow4Byr4xPQVAhUktm+TxjwCoad3Hc46Ul4biQPhPIgk02R7XoGAFJqwdXSLwRJRBO8SRCNTdLGKqTlx7iqmM1myem9fKiLarkloEMkrwcWAukonDDEhIyHiXIL4gyCtsfouXZtI0sIriXVbxUVI5yy1RimHdo6I2Lo0QqZNulFHwZtv3ud/87/8x8hyzH/1f/qvefT4KUoZNCW9Dzjhto56Dmsdg7Jg0VjWTYcQkiw3HI13WK7XfOu73wUhePH5r+icow8e23uOrh/xo9/8ba5dv47ROc+ePaVqNlSN5a233uHLz79i/J1vsVzO+dnf/Gu6ZsP3fvO7fPPbP+RXv/gZP/nXf0nfNQgluf/GW0z2DnnzrV287ZhM9/js00+4dvsmBweHrJYrdme7/Kt/+S+YNxtGt97lcr6i7Z9z+8bbbB5+TbV5zoe/8VvkWcG/+pN/QT494Oj6TU6On/Dme+/z+7//79FVa36yd8Dxg1+ihaUYjcgHAzKT0QfJ9Te/xcWzBwRbs1nVOCAbzhACvvz6S3zwHNy8z87sgMePF1jXcfz0KT5EsuGId7/xIaePv6aqVsljQCuUiPR9RzmJZJuAkQFDSPtVn9A4IUENJiyWLXmu2VRd0q4Lgc49w0xj1kv8Vhbroma+qFj3jlzCar2ms54rt7VBmRO8YzgZ8bs3BeuLc14cP2dyc5/3332T+viSee2ZHB6m71VMBafvWtq6pqsqlssFT18844137nLj3j0629ObktpHJqMR1ek5L05O+eThKU9PlyAVxWhElg/QRvLv/vt/wJ3pmOWLF5ycXPLo4SM+f37GdLoHSvDv/OHvMBaCF18/4dOvHtFLg4odg8kYu4TlxTnZYEBW5BT5AFf3nLmwXTM2tM5y46jk9q6CMEzcqKblc79BKkWuAwelZbNa0yyXvP+DN3hjV2Bi5LOH53zx8BSvFDF4zGyHt/X7+CyRR+u2xdNxdzilUBm9tQiZXEMJgfPjF6xiwzvvv8vIDJE24qqW5eWck5NLHnz5iIumwgnPjTdvc+/aNcx2IOm69HdPvn5ClUdmb+wwPdplbzijPq159sUFX60eUXUVQQlGxSBZTSvY3Z3ixnvkwymu89TRcu36PqUqMFsrduc83nb0tqNvOlaLDSfPLnj49BkX/ZJqWSO1Y3Qw/Fvr99+d5y4lFsWitUjhkVmOsR2/fWPGg7rjReXp+9RxGjy3xpHP5gtWjWW5XjEqClgapFKIrSeP9z6FocRIxNDYjkIpjnb2eLGYIwkURhNcICiJtZ7llqWND+yXhnIw4GRVsW56Hq6fIoVgR2kGmaRzinVdgdKJcRsdy76hdR4ZHeVoTNX2BDwu9rgt8aT1acdpt1BgnusEU4fEhO+3TO5cAkrQOJusFl0yAtFIfHB8cGTIDFxsemhaikGOkND3AbxFKpGc4QAlEizqggPvCYHENJcSGRJpL+8jWW6IWpIjWDaJ2yBJEHOIafIVJGOdKLe1IW69V0Xatccr3/2YfJiFUPgQyCIgkgbcu0SKExEI2+AdkXbAiASHxxDx28N6HxAiJuBiy1yQ2wSrZJXq0gQdHGa7JuhtD0ptTYMg+EQsc7iXEbhWS7rOgdHbFDZJiBGLAJETSBI8J32yrJWK0hjUMMP2DksghLQ3VxKESnK11KClhrKH1PCoDLmlZvotNSPEpA4QW5Km0DlSS6xP03xaCSmEMCAVMnqkkOyPM97an/GXz5ZoZbBRIoxEhIBF4EV6PUamECYfBOi0WolCIJSmESrxOojo/SH/1f/tv8FLQ8yGXPvBP6Jdt+jG8vmlQo6nmMwS1QJjFOsgCFIRokeqpJv/7je/xeDgNut1y7U3v4MXO/zkq8ecFJIiM/zDD7/B4fVbWNvzlx99wmenK+7sTrm+d8jpfM1Hx0vWTy9ZrxvOuMHNawUfn0f+9f/jz1gsGp7bI7wWfOv2AbNbd9mbDnjw9CmPTuZ8/vBfs7O/y29NI/sHmi8fn/Hf/ou/5sVqwze/+R425ozGUw7297h184gni5YHF47Bkzn3blzj9oe/xVdPnzFymsH19zldBP75H/9LNlVFVBn93rs8eHFM4TWf/OqMjY9MdoZ8e/MFN67v8OJ4w/MLxx/85m9w6+iQ+eWCXzxcwSjnu+99h+uHh+wd3eYv//VPeCQ7LmzPH73zLcRkF33D8OzTL3i0akBrjFJkuuR3bn3Af/gHvwPO8uLRI/78pz/jZy/mSCX47jt3mV075JfPas4uajorccEgpCDvBJpX5lYxkhrWqIkhw2iopWIyMbRNx9pFVBJVcKgnuKbh4uQ5wxsHvPXe+8hVz1cPX3DaKN58+5Dd2YzY22Qs0zdU6xWPvnrIvKpw3nFxMucnP/6Id77zHX703fcx7Rmnjx/z1VePeFFXlHtH3FaC2kvKYsTRtesUpeHDd95geX5K09R88cuP+Op8Ta8LcqX51vfeZhgtH//0Fzx8/ILKW/qupZ5f8uCLB0z3d5EhsK5qDsoS67foWyOQxmC9R2eGallTlolgm+UaTWQ6G3F7eoOzM8/Fk3NOHj1m7WBvuoMOASUUw1HJzaNd+q2r4PjaEZtVw/ysZr3ZEIXl/W/e4XCY0S7nxMmMYW44/uJrfvX5R9z/zn2+dfNNJoMx/bKirWqqzZqqayhmA6xzNG1DHGi++6NvM1EF9WZFb2vay4pN3+Ezwc7+iMPZLqPhBO1yjs9OeXF6Ru8c9aYmG2SMp2O0Ss6G4+kem3VgmA1QmeJgPCNXGUpsOWqhw9uerrV0Vc3FySVfPX7O6fmc8/WcVnUwUnzw/n0Opvt/v+Le2B7ftaxCREpF1ddkIvDjF+02j1ozGwyRGrpqxbzt2R9PKIawXFUImZzLxpnmrG7wfYfJMq5E7EF4ooTW9byYX+K9I9OG1qc4zqZz6O30iFRIpWjJWa8bpITpcEg+2KPeLLk9GjGaTZmuFlzbv8vSSZ6/OKaqalYoMu0QwtCHLtlzbo1vHKC0oZMG3yWYd1RIyiyjyIrkDy4kq65jVdc0XUdwlr7vkcIxng63GuIc5wLrquLps4ZltYG+ZTgs6RFs6ha3hXqVEDgJTWNxvUvFfWta01hJ9B4pJZ0PrJuWtunSxOcDzqUPctjCuBGRmOVSgbziIuhEgvSp8Matbt65tBtPFS8glaHxnkhAGY2I6f0KAXzfEWN6LikVUWtiVKQp3CCkxMfkhhWFRIYe6wJC5Vv6YpckdFlBJGCzZLnrhcYrjZSGzBg651/q+pXWaCFxItJNQapU3FuRIUWyuXVRoITCSUUfIEeitKKKcWuDK7ee6MlsRkjx0p88CondogdBCqx1GJU65WAT4cdu9RdBajIliUhcFETSRH+FxlgXUzOCRURJxHOucupa0WYTYky6eS8iQfbJaS6mz3r0HUIHjBmigk48D6GI9qpRkkgZ+cWpp+88re/RuqUPEqMLpMxphoHoLxFOEaNGewUyJ0pNCD3SSYwa8f/8m6dkv1oQEbQusNhUWD+i9x11r/gv/+QB/+e//JrgHfPVilaW5PKUXGcoJeh6R+cDLngkguNVQ3xW44NHCYnWOQLFv/5yyV99+XOmRYYNnso6gtjh8Xnk43/2c/b/4mOs11RWgJzy9OdnlPJ4G6yjmGTp5t2HXf7llzV/+vUDvA9Ipfn58VOs26putMa5Fp0ZlDZYlwQoddxDG8GqCjz95Sn5Z5f0PjAcjHn6p58j48cE56idoGgUj/67nxB8SyGg8pITuUObRf7px6cE/xStM2ycUZlB0o1HjfLwzz455csX/wTte5qu53y15qwTRFNw+fmKHz+s2LQ5NmZEHE4mxEv6RI7Ep6nRewtSpolbSFQEUUaG44yQtXS9xBJQRjHIAquLY8rZiDfefJu4bnn+7ITTZctaj9iZjslNxvnlGW21xgZPXo44unObzaefgxC4tqHqau7eO2TsN1w8fsSz58/pJiW//3u/CecX/PWDjPz99/j+O7f40Ts3eP70KTuDjJ3pHnFc8U/P/pgaxbvv3OPpkyfcur7HdLbHJBvS9I75xSV/+cUDrC65XKyYHM6oupZispNWb+WML+MuQigyIt9//z7r0zN+ejHHLQN98EQFhZSE69/h3kCjqyVt8Dw7n6OHBZ8/nsPwBm/fv8/13/whz372K86aBhcDC2nIO0E5nTCcDMlyyW5p6E6e07Y1WivWlxvONnPe+41vcufWDYbSJCheK3wb8DGivOLP//hv+JNf/IrLzYb7777NnWs36NYbNpslnW2xVc95teL973/ISBQQJcFa6s2axw+f8tHjx2RFImZnRYGKiZfT9j3CtwylRPoN+/tjhqFAxOQsGUPEO0uzqZhfLDh5/pyz+YJGR269eZNHnz2kGXXcvXuT2XgfEfK/X3EfKU3QJEZ3iIyykhAcvY8UucaisL3jms7Zu36TVej56vQSfCA3msYmjemGnL5rUVGgrKX3ER8dmckwSmMjWymBR2nPdDxkf3cHGz0DqVi7wMW6om4bgoxMx0POLhfUyrNq13TW0ddzOL4AI/mzL54xEGka0jJjfzxhnBucFDy7XHKQl2SDEaebDcHWZCZ5DdvgicHjveTxxQVKGoiS3vUYnXTmWuesbQ+uo5CRHVGiiyGbrmVaZJyLEf/shUPaIZkaMOxTNGcuxmRF2mc3Xcd807BsWpxVSAqyfIAcjHm0vGBAz+5sBxsFq1BzaSqsTbBvmEFwDnRGlAalFd57rO2JwSN8Tz7cSUWpSzubEBw7owE96cPjZNrPuhgp8hInNIRkr2qlRmsNtsd7n2xeTUaUmr6vE1tdaoQyGFOS1tRbbWEIIDKunIWs97RdhRIRmZWpQbEdVxaxHYI4yBEhNTM2BpSKaKWwjU2ERKWTU5sI1PUCET1ZponCEIRnMJpiY6RvaoSPZDonyOTNoLKcICRBKBx94msog3M9MViUztMOXAhQgl4kz2fpNVIZeiFJvZBEBYmWYIMjIImxTxamMWnPQ4x0TtM5SdjC9DH2OKGJQSCEJ4arxiJDC4PvPX0fkTHJ7AiRPiY3OmsFJ94hZUEICmyPUhndNusAoYmoJGm0YKNHqx6VKZTMCbZFkPF8GXBhjlJpJeRDQCqJLmYE57ioG2gCSmeo8oiB0mhUMtWJLUJZRnlG13f0zqesB6XQhSHaFGmrlGHdRcDTNxERJT5ovG1QShPIeNL2yNhjiiFZOUBITe0CHo+IgbYNKVVOS3prYWu2JKxHmUHKFlAaFyNSJYZyUJqiyNOuWiTliVSa4C1d1aJUzmIDK+lRUhOiIoZIHRQLYRLvR2vcVhubZxlRKKytWK271GzKEmlSUI93jtXG8ct6Q55pQpT4OEbIHhEyFsuWpQRl8hTP6Xq0KdAykaJ81Nv0spA+Z1KmNZaM+JDSCL+2HmROLnVKEQw516eGYmy5c+0O1A0vnjzjZ7/6kp8/Ouf7f/CHYD2XzZzWWsjy9N21lizPOTg6wDvL/bfvcvP+fQ53dlg+/YKvH33J5O4R3713B3e54VcPT/iym9LtTvnw3bsMjee73/2A2WRMtdxwPK9Ye01nO06ePmGyN+X2tdsMZMbxyVPqxYovv3pGU+6Rl2M+/F7OtJA82lQMJ2Oih3UYsAkjnLN0m45Hf/YJw0wzHo3ZdJbeBwIRpTT7wwmxfsLyco7PCsbvfodJcJgict6WnH2xYlWdIvSQLgywUlIiGPUu5QHEwMFgwshZVvMTmI4QCFpvufuNt7m2MyOTEuEsbdvRdg2ut8xfLPj60TF/+fNfcbpeYKPn+hs3MTZwcXbJ5fKSyjfceec+7xc32B3OCLUliIjrHMvzFau6Z9207OQFUWomszFaCHzXs1qsMMOcN9++yW9//z0mpoA6ICJ0fYeznnpTcfbsOcfHJzSq5/r7Nzk6OELVike3H/HOe4ajnX20Gr3UjP33Lu6L9QolI31wdFWD0QZdFKAy5psWH0BrQ932fH25IISIE0C0qBjJpML6QOtqtEoJOjJodF6A88lwpbcoIbc3q0DrLH6x4MXJOXmeYTJD1zmEzrAxUPcVg8xQDkrWTU0fIkWMiLKgDp7QSQbZEL8lfAWZ82LZchL6LStZsPKBenXCVdys21qSut5j25pYGkbSUJYTFlVDLgxDMyRoQ9/WjE1GVAU4y6pXVNWS9eICHSwRQV4M0KZI/vneI6LHGM0wk0gxoPMlzmV0jFFaMh1PqTuHXXfEwS0qrdhsE7p6NYZdSaEzpE6yrk3XooQmCInZTtbO9choKQYjXEz2mDGkbG8XUmERPpDrZF0ahKZtW4RMu2PhupemPkJq8kFGIQRCgnddIutpgRPddr+ocT4x2WMM9BGEGoDQSBHRCrA9mSzSnl9EotIQINOKoBQybuHpGFHRI32gjwIvNYNhWju47R49BE823EtBNkpjhUBIw2Xdg2sTZUpKnHfb9yBDSYmNyQBFK4UIDikUQeUIMcSGQJCCLES0ntJ3FVJGnEk8C3yS2sUYKAtDkBkEQe8DRmSE6BIDXoISBULIZEQjDTFGtMnQOsfabkuMdKQEN0WUGiUFuRDobZhR7xxGlAgUg+GAaj0nxoqsnOLcNuvAB4L3CJXkf0qmUBkvBM622HqF0gVS50idoY3ANclwiRAZFCYR6roOrXJkPsH5RAgsTElbrahd9fL8pdRYl5jNQg9wtkdnEuEtUWmEHqKEojDmpa1t5zqEzCiyUSI0KkmZJ0MY7zxdH4mhIXpPNijxMTkiqizQNRu871FIdN/ho4NmQ1aOt812Iip6IjIIbN1gYwrgUTrbvoYCIcvES4kJ6kQopBBIDT546ibtdH1IKwxCoFlvKMqSIh+RlxOCC/Q2SVnja3rTgKDt/NbgJhC8xEWHyXKMVskwyvYoqRNtRxmMSCoW78J2TQnRxWRMJAS50RC2uRbe0cU2oRT9mg9v32eXFr+pmJ+e8+mDJ7RGc7A34fJyweVizdHhEeVgxOnxC1arFUWhySRMhgMYGiZ5znG0rFcN1ekLbr9zi+tH17DLjq++fs7XXc7b33qf3/3Be9ya5rSbNavzCz752S9wWrM7nKIzzSBP/IPFyRn/xf/hv2SQG969e4PlcsnZpobJlGmpGHhNdTnHa4VzliwfpaEAgYgShUaWORjNsvVkSiO3ElkhBDJYXNXy9OSM8t43aIv9xJXSkvMmZU8IoTBbX5S6rhhPcmTfYoyiyHImZUZ18RjvGwbFAbPZHnJHMh4PMCEQnMX7jq5uOX1+xsMHj/js6VOqtuNkvaTpLaY07EynuM5xuVzicsWb99/j9uEtXNODS94v1nVsVivieMzs3puYv/grosooBwMyrWmbDtf3NF2H2Rvx7nfe4e1bdxFdwPkeGQWbyyXrZsPqbMnp6oLDdw+4c/06ZT4kdIL1pmV4sMN7791mR8/wPQTp/37FfX+yi84MG9fTFQ30aVpBiO0OSiKNSTIrNK7ricFRFqPEMvcBpQQqJlez0gistzhvk9e11ihpku1qdHhimgbynGE+QQSAQDlMnb5xlq6tOZ1X5FlK6xIi0rQt9WLJoCgQKkdgkKInLwrqrqe0DpFlRAGZ1lRduzWxSW5tKWdbYZShmOwBHh9gXTUUJkeInHI4onOBqAy9tUjfsjseUZEYtyGARbE32WU0ntHFNIk1fQfeJimUNxRZhlIKJ3J0DORC0TqFF4ZOSLzrUD6iTYGPAUG6QceYQntMZsgZbj3rFdI5hErkNxUVzoc0+USHIvmlWxeRJDck2/dJHhcVMrSovMC99LeXBO/oQoeRHqkNBJ28vaPE6HQNnWsRtkHJnlwP0aagqdeoUCGFwUeH1AIZtmqC4BEqS1O90Zgs2Z3q6LEhcQOEyBAykIl083XeJY5GSPGcQqZddNTJzS3PC0xe0nctZBld2PobCIOzPdYJyDRaF/RthQoW51sIMd3UY9xO7IbWOWS3TrJJLwi0+AhKZRiTZH+t7YgxrVXKcohT5UtjpeB7dJYj0Vv5YSrkWgQENcE1DMoJMRa03QYhFHsjww+/cR9TFDx99pwvHr2gDZ7gLUVukFGQlyNiHBOipyySFNQFSzkYIqSmb1Zot+RwOmbeOuZ9QyCgCATb04YeERq8yAGJcB0iDkDnxKBobZP08Cicc9TLOclDfkhnO5ABrQ3SDChG0yT7qVIqnfUeLTK0LvF9g+1aCq2IQWBMiRAS17UpzlYPaVqLjJ4izxBIfMiIMeJsn9QMXZ/Mq4RC6hwVOhQd1w8PsL3ncrXGBgce2m5DlDAYjZM0UiiCS42PCBavPCrmiBhYb+YURiKDRsicIDVKZ5hyS1yygdA7jBZgMrwPWOlwVUsUkkDAuZD4OwKEKnDOIoJDb7XPpigwKkdLgbc9BIvJx0lq2lbYzpIZjVLpc993G7RWmHKc1mRSEiJI7SEEMjOgtw1N17M7lOyVkLWCap5yxYfXd/jm/h5//pMvEcMhSmeUg5LgHHuzGcFborO0XcOqqrmxc8BnXzxB3HmTx6dL3r1zkx3lqFcNj79+zo8/esSb/+D3ub9b8OxXv+BB03B4bZ+Dgz3eeudt+q7m0WeP+fzRMzotONzNITh+8bPPeevb3+QP3riJ+7xntGNohcb2K/TQoAQgNKNiiPWKKgjaviX69L0OLm5XbwIbA0JnSdIoBcrWhODIxmP0aIYWA2wQLJxDGcM4L5DRs2lrHBKTFwilicImzsFmyY6pyOya0a09bty4je965GCQGrSYGs3NcsPx0xM++uRzjqsV1z64w9RnPPjFVxzLVfIXGAzobI8YZNx/8w1mozG5NAjlcTY5SfbWElRGUEN+8Hvf4mc//jmXes1Brqg2C5bOpZTGMufmvdvcvXuHUmT0m4bObggOLl4cs6jn6GnBu2+9yd7uPgNKutbSNpbzs0uGBwN2hxNUUPR9+3os/H+/4t75QN/Z7U024lwg0iBjIM8HBKDvW5wLidAkEwwuokAKRZ5rAinByvueruvR25CMqJOLWAwJos22RVmXM6y3KYBlUOBlcndzPu2l86JISVwq3bDAIkSCcmIQaW3gHDL0ZGGACoEgUtpTYotlZLkm2B4h0/7ZBU9wgVxuJ15vMdogszxdPNcT+holNEpret9hnefh6QnOWwplGA8nyKygdZ5uuSBTCkEKjPAiI3pL1VS4riLPR/Rhm3GuFSov0VqgXYKlTT6g6y1KKPQwT42I7UF4ms4nSVZw+EDS8vcBvEu6fanxyJROZjQDOWQ8MCghUSantV1KULM2TR7e4UNAx4CQOikUAKTBBY8hEuU2R1xqNGCkSlOFj1hvsaFC6RwpBKNyQBfZWqdKRuMJnU+sfIlAe4fRCmFylJQ422NERKJwtNi+RqkMmeW4viVToIphgtCdxWMJvUvpcps1mU7560ZlaKUTLCskhfYEArZbJW9ncrxNCEJhRimgpW+JShKiTUgDEENFrgcIlXz/neuR+QAbPLbfkClFX81RukTKDJ3lGF2idbZlyHtG5RAhErXBWgeY7XUPuL6mHMxYN54f/+QTQlbQu4CXI7I8pkJe5kxLw9n5PH0XdJHMkJRCCOibClRKHHNxynEjicIwGBV0bY3wDmkMwTu0LjERnLPEGGltAN+/9BYIviGTFusk1rV439GrjDzLaZolje3JtCb0e0idJlMpFUplyfrWLvC+RxDpHRT5BFWUuL5HSIkWOT70yRUvZtsgG4dQaitXVfS2Q4iAVjoZFsWI95IgRzy/aFNmdgDtGnIdCaHG9pFgHTrLE3yu9DZIp8eQtPw+WKR3tL6njZIoM6QI5CbpnPV2MAkxYp1GqtQ4OtvhvSXLDHmWE03KBwg+4Po1V2FTPmqk2NoC4xHeUWSGurME56maNd57Op+yDZK5lkRJj207qvUFwXl0PqSc7OG928aRWkCQZ4ajnQyxPme1POfpl18j9wf86MP3ePSrL2nFgPfeeIPpZEC1XiFDoKk2COexvWWzqVmuVgzHGb3OmA6GHBQ9k+C4eHbC45MLvj5bU+6P2dsdMh1rVhYEmtNnjzl+8pi9w33eevMei4sVajKDZsXRzRvsz2a8//Zb3HzrHtPRCFc7LhuLPhgzwuOqmsWmxuQFfdegB/sEEqtd6gwRE5LTbt0obQwv30cL7EiLN5rZrXvMGeG2McmZ0ShtALA+Jm8SIsVWomu1Y2c8ZpjtMshWTI+ucfvuWwhREKVAI7FtT9tsuDw+4+tHD7msK0ZvHfA/uP8jptmIs0+fsDOaMG4rDo/2KUxBLAvevHbIdDwlQxJswDU9bd/QbBpOTy6Zt5Hr793CB8//8D/7T/njf/Xf8c07B/zVX/w1IXrWdUu5O2AwLdmZTHFdj+1b2ramrmps4bh+/Tbj2Q7TwYTMlNh1T3DQrSsuzudMbw7QQdK2NS5YuubvaWIjtik8fd8iI+yMpuSDAis8MghE1EmX2/cIZwlSQ0xZwpFIdD0ywiDPqW1AipToNR4M6ZVmtVojfNq9+xjQMUGcwpE6ZanIsyIlidkW4gDrLYWAqDXWe+gdw3KcCo8yKKWpraVvG7wIDIyEYIhACAFPBz5JqEblkKgM3nta5xDRo6NAOEkfPG2TXMGkUHQhoEyJFoLSDFD5mMw2SHySXl1BvNsglc4GNvUa6WsUklxrppPdtCogUOiMQZalqVvl2L5NNyehMTiMEWiVYcpxsqE1BX1XMykknY9UmznedQhjMMWITA0IMaVIaSQhzxBSUvU1MjTJjtF2xOAT0Wwr93Jbxr1WGp0P2LQeEV2KydQ5TVshY0CpgrbfoERAapOKuZEYnSdCkBL0ztO4ntwYRoMJzscU0xodZZ4TpST6RFwTUuF8JBMaISNN09D3NSDxrseYjNF0RtO2RN/hXYtSGVoonHCoPENoA9HhuibttAJY12GUovMQoyRiECESY2A0ntL3VxLBgClKQhSpqYkiNUwU+ODIRNrPS51hQ0QZQZYPiD5glEYKkTwSQqBrKrzzxAhSRPqmZ9OuMSbZA2udJxJRPqIoZ2Qmw/Ydi74ibBoyk5LcRLAQA3Wj8RakKdAy33IfJEIbmmqJEgEVM5QqyLIC6yxCsM3yTiqEKBKhL0Rw3qdroSS9s2RGEoLfGuvAJkBmDFpLpJUvlQM+CLQZIFSGixKlSiKOPB8g0BArrLMoVWCUxqGoO0ts5wi1jdxVKeAlhI6gM/q2oigGiSQrZMpjd54QHTH2CJUlQqnQCKFxfUNC2ATWJ0QNNUSrZBzVtxVFPoKo8aGjsz1lVhCRBB9RKicEjTKa3BSATwiNSJIz7y0hBJRJZkqIiDYakwmInq6zCJF4N67f0PYdQiqIkaIImKyk3yxwtiVXgizLUaYgGwzwbaB2joEqEa5HCo0LkeBqEAZlNMUwTyYsTUJd2q03plKR/WHBXhlwqznLk+foox2+9e57VCdnPDyvEYMJs+mE3GSsL+dU1YYYYb2puDw/4+JyTr4z4Patazx4smGoFbvRs/z6hCfPjrmImu9+/31Ub5nsjJmNBsyM5uFnn3Py6DGV7Xn0+CHruuWnv/yCTineeO8e//h//h+zfPSMzz5+wMXpBbPBkIvlCj05oBQBGSNFUSbkNjOUwwGtHOJdcnMUSiF9IBiNsBGhI7kwZHlOaTJ08JhumQzHZPruCOFpuw4lYGwSiUzEkMym8hwhYDIo2S0zxpmi7xrMZMitu9fQUdNEyMoCXzcsV0suF3Pq9YpVbDh484B33nmHkRzRzjes1w0owWhUILzHFIrrh3tMZJ529F1PiIFqvuRyuWB+vuHrx08Z3b/FD+7f5NbeLe7dvsHuIHL86c/BedrO0jnP3jDxIAYyp2saetdRVWsYGO7depeCHKkVmcqQQVO3a+rVhs1qxaJac2gmuKZlvVjhgmczb/9+xd0rg5Mh3Qy7SBTJucu5FFmXKUnvEnGtKEc0PuJtg7OJ4KW1wHUtINP+sSgwEuqu5XI9x8RInuXk0qDLKVX0eOvobI8PId1gbEdmDLnJyaSmdh2Z8CAzlE4hNU1bEbzFx0gMDo1KSUHe4n2/NaKJmK1RTVASJRW992kaDD5B2ELS+f6lNMpogxIxTZIm2e7GCFVXoX1ASg0yTYo+BFwMuOgRfYJpJ9MZ3vcMsxIhdeIWbCVrLkTqrsJ2K0LfIkRkMp5w99pNSiKN93z05JjL4xdbe1+DUoq1lsmr3tnE8Aa8qPFmgEOmve7/h7M/abYtO9N0oWeUs1jVLk/ttcvlKkOpiFBEkJEZXDITuzftYtC9NGjwO/gxGG0wDMMMLmAGRkJmkjcjMxRSSBGSy+tT73IVsxg1jbEU0IGGGm7mavjR3mufPccc3/e+z5MTJ5tzRpexKhKpFDeZa39Wmx7T9szTgDQNYRpwfqZIjUSxaOpLj5v3xGmPIJPFRImeIi1GyyM8pWP2Dk1hmlydRBDxCLZFkoJj0S4wTUcChjCT5x05epRpMM0CIQyTm47uaVt3/jmRY2K/va8vLGFElEjbr+p4n0xJnkZqRl/79mHcYvsFYBG50Bpb3eIx4sKI8w4tDGZ5ejSwAVLh3VyrSTnjk6+AHQQhClq7QBlLq1U9OEv9mbt5pirUA/M8kEsNlTV2SRY1/bxYXeCnXVVUziOLrmexXjMMI3464ONMTAElCzkkQnDUUogi+ANBQGN7Somkksi+IFPGNEsoiZQjbjrgpy2mXdRqaQ4o3ZExSGWAiNAGoyPadozjUJP6QmO7JckNUOpkIReLFIp2dUqKjnHa1zGyVDTNoroJXN3nj8NwbEsUhNDoxhJ9IPiJNN2grGKxeUi/vkBhECURg6MomCWklGiUQmhDFIJ5t8d2K5KqOZWU52o1ZDjino9+gVwPZKFbjO1QoiWmWsWdpx0ig21apNaVJ2EUsRRs02FUQVuNlMcQpXOVn5AzMfrKP0ieFCLTIdKtFrTdBqsaClV21DQdTaz2sVZJfEhHh0HEHnfmc4wYGWqVKVJXZ6l+D7rpUQjcrNAiowR1b2ybepBlj5TVXf/9Dx/wP/8f/Jjw5kuufv0FywdnfPDhx7ibO16+uebzNzse/fB9Sohc379le3d/nM7AbrdjmuszlJy5fXHDm7jkaRi5/vI3vHr9nEeffMjPnr7DzTcveFEUV7/+Nb867AnTxDx7hsPM7W6PF7BYPebXn3/D6p13ef/dh+xevuC3f//33HsP3ZK73UhzckLTLlk0CjUE9oeRvfdcWk3wgfvsuUszRUHftayXGxa2ZTgcGINDGUtjDOt2gfA71OiZvaOsOnyMBO8JMaK7HgUYIRBNg1SaaZ7YeofwmcUQyVby+OkZ7z17gIyCKXrU4rQe1AZy9Lx+9Zr+8ZI//aM/4WR5hgow7Ue2d/fc3x9AK1Zdz2rZ8+zRA5amAR9IMXK4u2f0jqvnN7w63KM6yZ/8qz+msWsaDcYqls2aD548Jb7+mlZIxnFEGFitWtbLFX4YSfPE2+sbnnz8mPP1KYtuXSeY3hOdI/oR7ya2t7c8//o199MtT1gw7HbcvrnGq0x72v+BN/cUMEiM0hzI3I0j1imUPHLcdcRoi6Qw+Mg4jWhRUKYhlwQJurare3oE0zxzN+2J2ZNiJAPGWvYpkac9KidUgdbUHbAQmaIsLkbmeUTmiDWGKBUhjYgCWlk60zPGGefnOmpUCi1UZayrBilbQhHVojV7hK6t+5I94XhI/t5Xb40GZRGAaVqUlrS2hgh9CLjgsarBB48sGVskmkKRDdJaQoo0yhJSxW9mpQjRY3QhFolVhig0LozHapziZHNCYwyN0ry6OZATCGUx7RlLvapWviIoR2Z4pq49Kgc8E0MgyTpG7q2lCM1udPgwH2lVFlUE1ijGUneDBUFRmpgCWiuEXFS5TckM4xaldIVDCImWdRepTIdPET/tkPOekqGxy+oOkApkDQ7VmqMCYbCmReoOpSQyqmPorkW3/bFeBU2zQBy74lNw1ZAmFUoaFk1HY04rHjYJstvj3cDSaqRtCds9WkKJmsXqhITGGktMEPxICoEYM1qqSifMjiIacqjEtc52pGzg+HnoOKOkAGXJKVVYTsosmoaMIMx7lAiUopGiBqOU1JU7kIYjp8DgjiuYIhRSVipfjAGpND5GEhJlWoyp7PwUAyk4YnQYpevnnzwhDGQUUtV9ZMkZN28Rx0BaFBLvdhTq2qSYHqSFkmp40EeUzITB17/nxtTRqFKopmEeHJlEzolcBOMwkcNYOQYlk1UNRClUNaJ1NXQplULZFUIahDDoxmKaHvoWqQxFQHIzRRUaXVkXJWe6fkWKHiVU5SSkytAofkL1LZJcwR0x0OpC3/ekYrAlo1SdDOZSiCnUz8k2eD9hS0AZkCagtalTFGWPqMb6QhxDJsQtyY+InLG21jaDH3GHA0pmdLOiMQvmw575MEAOFOqet2tXaLOEVHApIxGIWAmZMULfLdG2pvdJx+yDm5nDgabrELFAqdmeo9mALDSyRKKfaRuLkhpVEu8/PuWk12xTRK96Hj5+jN/ec/3mil/+5jnfXA9cxsR+v6dRDYvliu3ujhAiRRRk19CJwnq15GaeaVcX3D3/GnY3vPeDD3nn/ILp7RXfvLrmRncQPC9fveXlm1s+f3HFg2ePeProgr/8i59x+Pau5nLyRNzd8Ktf3PP8+o53v/8J//wv/xlqinz72deMLtAqx6bvSONEMYqm7bBmTS4ndEkSj02B3f7AICZQmvXyBCWgeMfrm7c8aDMlTKQceH11w5tY0dptv6KlMB72OHmcDovK+Vi3hicbw+OlpjOCB6cdbUpM+y3i9AzpA6+v3jClSph85wfv8/TRIxrRQMj43Z7xbsvhfseLFy8Z5wkpBR/94GM+ePgEvxvw0455dtzd3PH26pa3wz0f/Og7fPj4XRqh8bHW4UIKGGmZppHmdMNqdU5884rNgyW2adHGENyML4EnHzzh/OSSXneQ60SNnIlTYD8OzOOEy5mb+y1j3DK7S1a6JSrPxfvnPH3w9A873LW1TG5ExcRmsUauTnApEcMEPjO5gPe/d1QrVratv3i5cHTu1HpbVhjb0RhRjWbWkDK12ykFWspKMMtH33cK5FK57M4dCM4hBfiUcG7ACMFyeULRmujdP6r6cpw5jJ4YI5KCizW1v+gXKGUwtuOQAjJGYoqEMDFOI2HYorRClMSiX4HuUELTdmtShkHeo5qWVjeoUkjRYUpimmZ8oSICo2ex3KB1y5xrxkDYI+edhIt1fCzahm79AN0tUEISpzvC5CALirXIkri5vwFkDZGJCnDJSXCM6qKPWNyY/79G6rJqYA/DrqbzbUdjLEpIpnnHMG5rTzsWemtp+hOE1GgRK9AnOFpVMbBFGrJSmAJtvyG4GZcmFIrNYgPGIKRiHEaapjs+SKtdbZp2SGXJQqFUQjWVExBzfRHzFhqtsKYnOFcJdxTCfECkiVwq1jfnBlRLzLVisp+vqzJVglI9Nz6RxwEfAslXkNAwOnLaI5crpOqYUyLnSEieMO/Y7xxGCbI0WLNgs7kkOE/b9iShkCGgtK36xlR73Y0RZNmRnOcw3ZD8ASlKvf0NiexHhJSgVEX1KoMUlhhmSqm7ZXJhElu8d0izJLkR3S3qusCP+FC95123wtiWkipoSGvN7BqS92i7QNmWjKDpV8zTAT9va/6lWxPcfERZeoyqwVGp+zoRCFXCo470x5x8pUDqjiwaUppJeaZQQUu6XaNMV0FI0ZHjhNSChV2hVEuKE8HtifMBTIdql1iqYreSFQtzDATnaNTAFBM5TZjGoPQKyCjbgsigLScPPgVRmKYdKReabo3NAS1lrcRJRQ4O52fU8e9qyY4xRqQyhAxTmOgaTatqKLRIS/SxTqeURgpbCYltQ7veEOYB07Q01nJ2/oAUA9FN5COYyaSmVg2To2na4wuCQuq2VgG1QpNRMjP7gEmZHGf2uzuO6ISahzGaxm6IuabjtYacpqM4ydDrqqmWXQ9HYJJWhl999obHcuT9LvHg0QPycOBwGHj1+o5vXr9FqBZjFKfn53RNy4tvv6WxDdY2rBYr5hB48+oVq/MTLtuWrybJcHvPT370MRttmPaez373DZ/fHjiEa16/uuLF7UjIhfZ0w09/9hMulwtO247/8Mt/j10vCOMOP3XcBs3HP/weH338IefrDeN4TdM2+Dmwahr8fsd2f6BbrZEpsvMTWxVwReBL4UTXn5nzM9potsmjUyYEx95PPDSWNE1EYXBZo61B5Cp5uS+JpmmJbqoB31zoGkPTKPKw5fX2wLvvXXKxWHF484JJGk5Mz/3LN/zy579APTnlL372x5w0LY1piMPEfDgw7raM+4GvP/+Wn3/2OUOYMeuG97/zLsp7tre3DPs7xhDY3t0hTjR//k/+BGs6GtkjYsT5xApFSIVMooiMOT3lB3/6F/zt737Dcr2m6zd07QrTLTg9ecCq6UGKyhcJsTZrvGecRuZp4P76wJdfv+TmfsuQt7x4/orFB0s++PQdFqsNm8UfCLEZxh1xmpAIso9oYygIdK64VC8VPnoO2zvEPKNz1c8pa1mtzxHC0FoJ2uD8RI6BziqyqMSw+zDWxPgxSNGZDtOsKdnTIHG5UMLAyfKcohQhBpwbyX6qFq6QsLojieqpPgy11tKZjDGKMs7oXF3LWWT8PJFLvSVJrTG2ZdO06NMHCKUZ5gpegVr/mvxMSoEUHZ1rSKZD6gafIm1j6eWCgkQJjfcDzjvGYV8bM1Jxv5uxqu5qY65Qle3+ln6/pUjNeMSbRh+xXc+ii0jTodo17TEwNfoZ4Uc6qxjm+rMoZgmlYLVidp6iDW3bw9HCJpPHNh1zcLUqtzrDhsjsJtCOtl+hpSaXY9gxzMyzwxOwbU8RCivbWicUEqks65OHtN2CMI3gJ4Qo6Bxxg0cqELqt43BtKaphcgMxOA5+qL3TPGGNJaMIQoPpKbnU2p3WtOuzOuJ2I01TQ2bR3xLHCscx3QnCLqqJL4RKnDuOwzG1rhamW2KO+Pke2y7RuqfvlqzXpxj5PpGC9xMpVy8BomHR9fjkmaYtktruGKdbpNQIJAcfKHKuNyptKawhRVKMlDIi7YKCQoqMak5RylbgUpgrvETVSReqqQAabSjdCSlXjHIp0HaS7B0pBErypCLIOdXbb0wVq+ocxc+YtkcrQ9+t6bt1zYgKSdNEgp9pjDkKcQLbQ+UCCCGwqGP1q64NUhxBRJQ1GNVhlMLPMzmFOrFSDTH7OjoPFm17slTobkWvH+H9RHRDVcRai4gehCTkjE/1hSJ6R9EG0y3rSw2gRcbPnmHYo6TENk0VKaWEyAlBQUuDkB0pOtzuBqkUKMPJel1ZCWRyzqxkqcClJBFaIH7vK6AgpCJnh24X+HmPKDPCKKT3lJIwAlL0zNMeJTKCjJGGHDO6X2F6W8MLUrJsW4Z5rjRIUWFTWh1v3DEgj8RNB9jWElNBkpmGPSXVVH1C0ljDNI8M057GKtpmwTwIcvIIpbDGYKzi4fmSf/2Td5hef4k8eYYMhmHa8vzlltvg+Nkff4f/8PdXIOpN2NiWJ4+f8Ob1a6ZpIEXP/fU1TWt4tO55+WpCX1zyyfc/4FzN3L59y+efv+Df/t0XLD76HqYzxFdvOLk4oTEN73z3Y/7Vv/gr3r244PVnXzHMM0Vp3v/oGet1z/vf/Zj/3p//GUupef71c65fXbMtDZ2p68LVqmf+1iNXHcZYDnT4nNHaYnLmfrtl0XeQKzY5ZVWniVpy1p/RlS1zGJGbRzRihTZ9zUaUmrOQWrHSLfY4NZ6Dp9eJh5uezWLDB082yHlie3PL3vZM37zg9uotD3/0AR99+BEPNhdIX73r0zjUSiwKlwqff/acV3c3FJF498EjLtanvPn2Fdv9PT44huT4/p/+iKXtWfQriocUIruDJ/cLuqZHHDHd29095uEJ/+y//q/4m7/+TwzqnnF0jNOAefiI1WKFDFXLXQ2iHjfPDNPItJ/48u+/5e14z/b6nt9+8VvOP+o5Obf0S1gtTrBmRfz/vXL//3+4h3lACcgC5pw51w1ttyLmQoqeXki2077uPEtBlEod6/slTdPRCYvperIyZDEhdEAoQ0gZoQsXuqt1kZiR0qDsAih0WZFzolWCZCwxJWSsNSQtFHZ1WQNDpSCVQSmJS46NbutB60aUFMQyY8j0x0R6UIbkZqzWx9VBqUlObSnK0PuZVjcMbkaEEUxD8IESJtaNRbUr2qYnK4GbBrybMVoSU0FpWOhznJsJ/lA71qYhzSNaGYoyZAlFdYzZo9HYZlMTxQ1YKVk3S4rt6oF8DD/lUJ3q0zSRnEe1PQXw7sB0iBRZUKnherhDasHKai5OTnkz3KMQNQglFLZZ0BmD0IZhOjC7CVUKRhakXVQKV5yZhhuKn0i2jtelbsB0pNJS3BW7/ZYUAqZZIrVFAcosK7c+J8gakSaWXYtZn7Bo2qMpbASt0ULgYh1punmsVrl5JjLW5P28JfiRLOphKrTBmjqWFkJgtCVngaRgpEGYBTE6FJlOntabl6mtiBKPwhefcHmHlBrv9jg/IJQhmnXtexuNsfWmmsIAUuFiqOY5AbqpRL4SqxzHtJa+uSTGgig102FU7baHMKN1g+mW9XZGqQYwEp3RFGWO1cWuuphLIHpH1/fEdLTCaYs8ks38NCJEIYa51h+PrP8cfXULxJlp3JP9gNGSbBf4oamTCGUQyqKVQhlbJ0GpBimxC4QQtEpVPn1OKNXipxElAoT9cYKSMFrVQ0QZNAlRPJ0xyO78WLfUTHPV1sZQKZSyW6BknTTkFFGmQZCZ5xFUral5v6OEbW1iKInqT9G6R4o67WkWS7S8JIXqFhhjIWdZ++qlIHPdW6ujxTEcJ2gl+ToRVB3h9yhmkdGl+htKDsTgkdZSZOUeyCKIQpCNYI4FU2ZKnPExsL+u6OKUSw094rDWUIriME20VqCkZucSm8UKaVqUFBQUh2lH21RmRkqJgqTvNjUp7gJSNdWvIRSTL4TieXS64GGfsR88puyu2U8Dr1/d4rXgpz/+Id/+5rdI21bBToEwj/h5RJEJ88Td/T3T5Hj3/UfMb6/4+h7OFztOzyVvP3vOP3z2Ba994b3vPuP0o4/58MPv0PwXf8Z/+s8/Z3dwvPPBe7z76BF6HPnt3/4D/ekKg0algO6W/OnP/oRFgf3NDW9evybrlrEoluuOBTv2uy1Dimyanugig7AI3WCsrUE3W5s4gUoitTkjtKFRll4U1LgjxcRcDEEI+r7HCkmYZ0YUJSTmHCpcTEhK9BzIXI8zjVkjhsxuf8Xe71k8ugChWD685NPvfcxSGVRMxJiqKOgwcNgeuHpzx5ffvODb22sOw4RuJZvLE1phmP2e7fYec7Hiex98xNPLp+Q5ILIg58w0zgwh8OzdD1i0K0qpBz4lkVGcP3rAv/gv/yv+2//D/xrbGh4/umTdL1CF2hxzAR9mhmFk2I1cX11zf39gKwYuP7ikMw2//upz/ujPvs9PPvkunT7BmgVkjXd/YFr+0elDFBmfIpN3DPPAPE8YqXG5kFJgch6EqmECY1j0S7q2w9i+3raTr5YwoUEpjKwhtWIEjRLo33vOM5WelULVfYpCkQYrQRmBaHu2w0An1RFQM6NNw2EeEDmCNrTa4uKMLIksNMu+gSLqLQSBTIVuscKqun8t/H8AJyEFOqXIKbBuBKJbI3SLn2YiG6L39KrBKsOdn3AhIqRFSMuyMaRSmGKqTONUWDQ9rRHMwmKMotE9UipCDpRUk8IhBLKUxBQ4jHuG8b7e2IKjbSstCySr9RmNNujFCkpmOrwluAkfI4iMEgZpWozq2QXYvbkmhRGKxtqGZnmOjxM5JmxONFox+omUPeMwk8NAJpD8XHW4yTO7VEfMrcSIljzd1bFms8Q2mr7fkIUmuhEXCyXW4N18eIOUEisvEVIzh4iLCW1aXExsb99S0ojtlmTZIjSUILC2WpuyVIgQMQKUXaBlBaCEVCrm9ijUSXOkxHikrgmSCDV/EANyjHVnLwwZiU/umOiva43GNAhlyQTGwwHINE2lBLpYsxSN0tB0lFyw2tQboQiQHdauMNJgTCakhPeeXMI/ynmcmyhZI6Um5UQKAZRgt71ClPrilqQGJev/FpJhuMcAyhi80BVPikQpjfcHohtQWtP0a4xdA/XziEXQrS+I8ZSUZqIAZXo604EUzPNESJmm08RUb5pKCvquZZ4G3OwYo0eaBfL3FkQswjQ1aS8SqkRy9oQ5UtxESb5WK6UhkVCy8hmyH0DWXrw1DdqGWmEqgsY48nHv3hiFaTeEaGp+p0hyzJhWcPf6t0ih2Wwu0WKJl5YUE5pceQHtCUhFDB7vDjRaIoHt7pYQJvQxr3DYXyFLokiNafpK1kseUUyV7+gegaz5gJyJ/oCPDtOtKTmSciH4mZATCoVSDVIViJ7dOFCKous6/vLHHxBCQDQ9P/3hJyxKZr8b+D/+P/+aKB2hUcQwMcQJYywhZpKo+3aJQptIYzWLtuUwzjx6dMq//OFD4v4aFybU3RVffPEl5sEJP/3kY3avbvn151csLt/l6ZMnxNlz8A4/DHjnuLm+4+bujuu7O07OW2hbllogd8+5/mLiq6++RT0841988C7Xr29ZPDtjKSdOHl7yP/2f/Tc0WuOdY9m0+FT4/Ktv+S/++T/l//J/+r/z//oP/8D/4r/+17Qxsxv3DM5z8uwdVIDOfE4a70grSWstMktEjqj2FFE6SqkBzK5dobWskh0krqSayRB1erMonnRzQPUr1PKchWgJbqZIhRKZrmkwTVdbGGSMVJACj2xinQ8sbcv09hUx3/Hww/dYL9eozVOapqVTGllytUfOA9M4cnd9yzdfvubzq5cYZbi6uWX2nsZaLh+dE0bH3X7g8uP3efTwIe1xiq2kIcyOaZyYYuTsgw95dPkMlSsX43B3xRAmHq42IATf+fRT/sO/OWf97prNYoUpkuRCZY/EwHC/4+btG+63B/bCs3m24v2H77NSG16K1/xJmfnuh99h1V+gSkcMEIJj3E1/2OH+6v4alRKyJAT1L3Nr656jlISPit7UmzyialTDPDB5R9dGkpR1hF7Ska6m8NIhJGgkB5coYw3LRe9AFBrTYbWmsy0zke3dDTnM6H7JdrelE4V+saJvVxRpQUiM7kEYfIrk7DAlI4qgtS3SWBACWQRGKGKufN8auEsIMvuxpqlFmOltQ9aKgia4LUZqihAUIbmfPHF/gyhUyUhJZKXZloySgpBkvbkRSbKqO7VQxCTqjjIFtDWUJGitpdVVLXqx3DD3J+TkcNEdYTW1i5uCZxgHei0x/Yr9ONAvTxHrhwzToa46ujVIi5SlVpSA4F2tTwlBDBmoEpdpDsexpqAxK5ayx6gThKpcdR88KtX0fkqJYdrh5xEtJcqs6LtFfRinwnb7HJ1r/xoK3mdS9kglGK4ci8VE028gB5b9irbt6J68h5v2RFf96uM4kJD4UNGhJ6tzrGmYp1rrUcpwf9ijVUSKQnBVPJNSxLsB2yxRwmKbjqQFSkp212+I7h6jFKY5QdquvkDGQxXaCIVRLU23wDRLUgHntsR5TyzUWpO1yGZTw4vZVl5DcEdsbEToPSmrWmfqF5Rc0BS07ZACpmlg9jNK1l64SBEIpJJJSSMKNLojyyP5TDXM/lg7NAJje1JIdQ2VE0qbIwI4IoQHEin4SqwTEUGh6ze1RVEKMfr6/6HUP7L1O9MissDNBw5hrr6BFGhNw2qzYvQBuzolFUHJv2dDCNw4oI0GKQl+qnpjZHUFSI01HUYKiqx4WBVH9tuXTG5HOop2SmrQpo5pU8nMY6DEWB0E1BbCNNzjQ8E0HbeDw8zHEX+EXOrf5d4JdNOim44kG4YYaJuGk8v3yNEz7He4MHFy+R5Gwu3djmFyZHdHTDOKV4gcaLslQkgQULRB647oZ5bMWFNJfORE3/QslmeEEHDzBLblSf+Q83VLEoJF22Bk5t4fuHn5Arte8stf/JLWSpr2lD7Vr3seD4zzwMn5KY1ZMHqH0A2b1aqqaTMsN4Ufv7/gQa/xThF84Wa3ZXG54uNPP0EEeHt74O2UeOfyvB6iQjId9hyGmWE4MPvAODvMouXhO0/YFMVn33xB2l7xdRt496ff50nXsL/ZsXj6Pj/6o5+y7lrefvstcdjTLpdslh2iZJ5/8RXd5QXD3ZaTxyf85K/+x3zno3dqC2Vy3N1fs16f8OtffcFdbrhsC3ncU2JEWoPVFpcgaMumXdaDNXoytXo6u5mmbZAZBu/pO4sOnuhHxPljQlB4EdBaE2IgxMDoHV3OLLoeIyUi1YfxMEWMShQRKMwsHz3kdPMAaZYUQItazQ4xkmNkd7/j+u0NX331ioOKfO9n32c5SP76//ZzfAysFmsenpwQfOD83Uc8fnDJZrVGxkhJCTcPhBCJPnF9f+CTT8/r2i1DiZnpsGf2I32/gAK27zl/9yk//uNPWOquhmFDROTINM3c3Wx5vb3l7MkJTy/f4fL0MWWMTAdH22ievnPB+fICTU+MR713jvj9H3i4GzQueBolQSrmRLXcHGEMUhqsNcc6SGWVd7YiMROSYbrHHW7pjaWT1V+8dTPJjVycXDD52oH2uTBHR6M1LgfmkDHB1zdiJWnaBUoYHp8/QqgqGxGUo06zgjGiHxmGHdvhmoU0nKzPSKqywKW0FCRDGok5MU8HjG6QFMZpILq5dpJtf0zBQox1N6KFoDEtXkiGYc9CCrKqtTRhDHOJNQCFoWk0XXNZA1YpU2LEBYcvkX7R04oFznmsEYzBEfyAoMIuusUKJQVd0zH5wLivq4W6b2zYRYfc7QjB4+PMYrGuvV3b0WiLP8KCstvTWg0J9vNMqxRtt2LKCT/uKclhlCEKg/d7OOYktFB0zQKJrKa84BAlYyn1ZacIchg47CY2m3N8rjdEWerXRyk0VtbaUbsiHG+kLszkOTAMb5CihielkPgUakr7CAFpTE/b9CAlu/1NReeqBhdmjLYEX5nrqu2x2hLCxOrkEj/VPfUcZ1KIpHBAmobGPkLptva0hUA1EpNPkcZWyU7OFDIpJsK8J8cJkSf61jKIjEuefLhCCo1cXlScatvRdQsm53Fux2K5olARw0UUfIgIoSmiuuwbXZjHO0ouDOMBckB3K4SSFD9XrKk2NeEcZ7RtaZoWKWTFnSpJEQ1S1LqLlgpKJLiZmEZau2Cx2BBzJoSReawgE2kq46DkhE+VJy+UxCPxKdIYiz4CjSgwzDO78Vv6xQaUprcLpuAZgqNtau82+Qm0wVhLiYnoZnxMpBJJasBJyD4gTUNKkSwMTdtXydJ8hywZUXTV9hYoKR0zCZJpHsm5YLoN3dklioI0LQWw86Ga9WyPMVU6ZWyL/b04JjhKmnn76qvKUUCTU0ZOE7NU2LZjvWxIoUN3a4oUtZXgDrUpk0LdrQuJNg0uB3IckdIweVg2hXnaUaRhdHNdE3Ur7rxBCs3ffjODiMiS+PLma0qMDC7Xy0zJNEeWgtSafrkixkxKE1lAUxLD/Q2paWrOQGnu7ga+ej7y5LQjvHlNsZKPnr2LcjOvX93xn375BS/3ng9kjSy3bcN4GDmMM7N3tMueTS40C82J1PziF1/z7dst72wmPvonH/P05ITty2vejJGPfvoJh/t7GnnC+YMLfvfbf+DV68x6c86Thw/5+sU1y/WSzz77HZffecq//Fd/yak1CD+R3YwOkd/9/Ff87edvuJtb2G8ZdcDf3THMI6u0pIhqVxx297W62zRonfE5IwTc3x3wfmZ0E4vVik2XKw68WZJ0gxFH8I0soBXrtqXkzOQdSQrmaUIoQbe0rJYLdIr0T5/w7OkztOxIwmC0ofjIYZ4ZDzvur2744suv2MaRRx8948cfvEeXLW9//S0KQWMtT95/wKcfvovMDZcPHtAKhYyJ4uszPU6Ou6stX375itfe8eynP6sOCqqN8nB7TbNeVpqkECzO1nz6o+9z3q8ggpsGtnc3bO/uuLm/R3aCx5885L3H76GKQWWNT4l5PzJMBx48WqNSIURPmAPzOLPfTbz48oa/+EMO99GPaJlwwbHqlqy7lsViyZwjKYLL+QihMSA1svJi2c8zGsFSG9anF3WXWiKeKk0w2nKzv+P+/grhPFlXtGPpVrTtAtMuCDERyfhxwoiCsQ1dt0aWgEXgi0C6mUTGjQcWTUe3PuFkc0bbtNVJWgpa1PHXfZgROWOKBNuChMM4VfWpkJQYWRqwXc/sE7mkCqQQgiQybp4xSiJsg5QGAdgC1jSIrqVQ0brBV16xglp3alpyTgzeowj44w5woS1eLJGiQnL6tsWnVPn7SFaLjiIFQlpUjIhUNahSGmhqvdBIi7SVjGakQnUNND1SCOZxQEiY/EyIAZ8CkoxpawhQl8IYZpQErVuM7WmWJxipmId7tDFI25GPDlmrDSlnDsOe0UcgY0yHcx7lB6QQpBzJaah9a9OjhGChIfcLQin/iGaNmePLlUS1lSEgisK5mWG8o4QDQkqyydhmTVGGRquKvU0jttWEAMn5I7M90LQ9QTf18xKiHjqxjqG10WjZoLVCSlnRcUevPN7TasWyf4Y2mnHYY91EEbqmmEuuLP4i6lQq3dfD0y5wcyKnEUod43o3IvJE17bEIokx1hcHt0NIaLvTapJTitXpJUo3hKM05nC4x7ux7utKobWW6ktrKLkcD3SP0Qrbd6hoSWEg+i2lWIypa4WSA1oZjGlwISKTI407SigELeFYw8phZtEuiFLj5z1BRIgTcRBshwNKG7QSJF9qqyN6wrQFpQCFVoZusawQICGO4UhfpwQCpJ9puyVWrxkPFj9PFCQRTdP1NKYlOM9qveRMC5yr/63b3yO0pe1ajDLI0zPI9cbnxz1WW6K75/76msPhqgZLuw1du6wP1pJQnQVpEFLjpj0+JNqufjZKNJxdPMPaSroMsVYwBVUIJKjfb4iOeY5ICTEmQph5eNGSEDS6Vuh222uEFnSrE1QupDCjFwazMORYSAVCjJSSmPzENG3x846SQ8XsitowEAiKFPTLC+6uI1/+ZuAHDw1//sGGZx++S1ME27d3/OKXn/HbN9ccnKa1BnImy0SmkEpm0fc0ULuKKvHtN8/J7YL1ZuJP/+Qxj1ZLbl5e8+WXz/kqGb7f9ri7HV/ebXn06JyPP/4O4zDw9Vff8M1vPucXf/87Hrz/jMXJKZerFTJEDrc3jIeRN2/eELPixdtrSqP4dK1we4k/JL5+cUNzsUHrhjf7mXs7EnMhJI8mobxGSkmjKwnRti0rNnRGoQ4v8bpB6SUL09RQtahSlZITziVoKskwSUO3WGCUoO8lq43lZFN4/PQcncHFgmg0KhemYWS3v2e32zGMA+qi408//R6Pzh4gZ8H961u++uIF+xJYny757sdP6axh2Z3S63qwR5eYDwMueL79/DVffP01O+H5+Mffo2vtkYBaOQ7kCKpOtcQxN/Des3eI/pbRTYRxz26/pejEybMTHj19wqJZYESdroXJMewO3N7ecXvY8VhsyD5TSuCwP7C72/Pl16+Qqz+w575abpAp0/cd42GLcw6HJqZEaxumGCB43DwyOU8JdX+0PD1Dq5bZ++M+ljrKkxKpTcXZaovqNpCrxlGrmuaNPhBzRqiMzNBYQz6y6Q+H7VELq5DGYHTD3k3kWFPuMkaU1szO0QhB27Zcu4kYHFP0zMMWeRy5+lKpcU23IhZDcTPeH5jcgMuVzdyZhqwtMQeshM62KNviQ0IpjaLqRCc/491M8AO5ZELKXJyeo0WDFtAYg88JRWJKgtu7aw67V8Ts6u7StuxHiW0WNO2m1temEReGikjN+Ziqn1j2G7CLmkuIA8ENFaMpIMWqC0wlI3PEaInenECGXlYe+FEYiyiZ036NUqZKQ1TVTx5mR8YwBkebDkizYLe/x493pHA46uENtl3UykfwBCmOu05FkU2drJQDfjrQ2Vppc/OMVoWm7em6BSEESpixaLRW5ASya5HqlDg3KGvQtmEeJ6IbASiiMCXB4fqKxii8kIijerT4gtEdyupKtHMOLUSFraRMySOLfkMMATfNFAqNUiwXaxIGP81MBw8l1WBSnGugTypmN2GbrrKrSyKHUC12wTGNVzWzEMaqmi2FeQ+q6ZG2Q0qBXJwilGb2HiMdEsHt1Rc0TV+rXEJSskRTzYPGGLSRSFHxqEpbnGkQOTIc7pHmeAwVKMGT4gGZLVEocvTE6JlFwmcQpkXItkpehEDGgI8jQlvGXT1sYtghCwTVIrStIa9SDwzxexmPoL68C4m1S8gjDLd07bKiVVWdiJSwx2iNaJrKUkgJaxqWm80Rl2xprK3ByIXA+xkRM5u2wWjD/bjl+s2veb27olutubj8gJwVQlnmwxWvrr9lHt5AiQjdo9tT5nlLdAe0MoRSSClycfGUxeYJy/Up1vZHvSpE75n3e+7n12hrOd2cIU0DSSNzYnQHwrijSEW7PGNyA5vlBj86slas2gUhZrJ3qMYwjAP7/UuapmXRKsbhjnmurZPWNmipUAL0oqXtO2I4x7u5JuOVICZBLLBYdqxXayyFXszY5YGzRxfYNHL39i1/8/N/YK/gg2cXlDtobN3RL/uObtHx8OElw/7AfDgQQ2C56Hjy7CHDF3e892zF0+Wa2xdv+er5G/7dL78knJ3zn//z3/Lues0Xv/uC3ywbHl8+YNW16Jj59ndf8cWra4K13M8j7xuNkhInJf3FBZ8+eMTbL5/z81T4q7/6M9LLb3l+B4pztJ94NQ4koTh/9iE29gSgX3Sk2ZFLoeSCzxVAJY916LUIiGlHe3pJWayJqVJNdSxkXRs5NmR0YxGx4I5QqRxnSqj7n4eXl9gi8cOWYBeYDG6/5+7mLde3N3gF58/O+fjiQ1Z2QZ4j4/2B/XbH7z7/hikGTh8t+fCj9zg5eYSOkpIK0+HA7jAwH0a++fIF3+5u+PRnn3KxPsPYBYt2gRT1RS3NldWxvjwjx4RzE8REoy3DfmSc7/Hjnlk4Th9ccLo5Yd2f1qZzyhVqNTsO93uuXt8SN4FVU5+h895zc33P7bDnwacPePzoD+y5Pzg9Q6lKEOv7HiE0U4iIlJhyJKeMEQplDUtrkYAxLfeHPYebL9mcXBK1IfqqTJUYmm5d3/KLJGuBCA4tNEJXSlMsCVEKfbOous5c1Yht1/xjSjbnxOwDbp5Zd+vKFlaaIhXTeEDLTFaSvdshSyakGR0C69UJJTlizKyMrSnVlOqaoetr39pHciogFFP0FFdvvuREbBZsNprF8oRxnvFhZjc5nJuRObJoW2y7ROiWcToQ5i2qBJquJxQ4TDNaK9q2ZbV+p45ecwQUilRJTOO2pqK1QpeGFoGxHUkadtsbYpFkN9WUsLGcLlcMsYCPdYdvTTUrpXqMpyJqHaoEumVFn/oQ8OMeVSpq1Bp15DVnkAlNRbkiqgdgvTnHL0+qQUtWqBFCYqREHaE5smTCdKBQZSPWtkzeI1JEKYk9tzTtAoSqtrySSCURYqp2pjAxjXtCdDRNT9Ms0cqwOGlICGIsWC0JpdQ9c5irbwCJMZqMrDkD26PtBu9P8G6o43HbIajschaSlRSM08A0HvD7LaXE6gI4vpxIqVgoRUnHPEiY8OMtOQtECSghKMYgqNUrYZZos6wue2GQJEDVWpvwFD+AqHW6mCI5TsdkffUHqHZZBSwZ8JlWF7QslY3vZw7bK+bhhhTminGNI027RByNewXIpcFPUzXCHcNGUtoKU4kHSgnEnOgXF9juDJSt0o7yEB9mop+ORq46WUrR0dmOkiVWiGNWJCBEFakkMkIK5piqkU2qahZMAYkmZoUaZoY41hrUYMjek4k07Yqm3yCrvQnZLpnGkcP2liQgd4/o2gcUkbi6vSaGEYi0RrI+OaFZrgkpI1VH9gEtAt6ssP2KrhiE1ti2xWdB2B9obUZQDXep5ErSCwOd7ri7d3Ttkiwb3DTifKX45VLYH64rcna3plts6O0KP0VK9piSWC+WnJ8/q8FD72slbhFJQjA7Ry4ZaxqMttji0UJAnMmskNoSU6zrhwzODZUPb+DPf3jOe8uGLs3cv33FN9++pnm45q+ePOTf/ptfgdJM08huu+Nks8EoXQN1IXB3t2V5suAHP/iY7VfPefnmhk8+ULz+/Au+eX7Ftc+89/FjZH/KV//wG/7h9oar2wP7aeZuP3J6fsa6VfhseH07sptnvvvDT/jwu9/hwckG5pl5mPjqqxd88e1r5lz49//2b7l99Q3L00XNAnQNfUmYbkMwKzrTUoKnNR1tuwIEsdSffcmxwsME2N1rDnFC2SWH0TFnaBYL2naJDQt8idhOHhnxioUQKK04sWve6Wc+emfNiZL4myvu54H20ZJ02HLY37Lfb4mt4t33n/Lw5EGtwrnAvB8YpgPRB+YY6FYtT56d8ejBJRpF8YGdm9hdXfHq+Ute3N2xfrzhj3/0A54+eAfpLIcC1thazz4GMQWJ3e01L779nJP1Gct2QUy/Z8kPiM7w9MFjLk8uUZkqnSoRP9eJkRtG7m/2vHx9xaJr2O/3pCGxGxw08O57j3h09giZF3/Y4S6lIYREzoIiWpRUNCZje4kSkiwqmzmFSAyFvu3ISnO6WvNgcwpHGAjHCk/TdMSc2A07wrBHaUkApnEi3N+S8NUBXQSpXbBcn5ORSCmZ5vpQzSEQSqVpQUa5qQattEGZDtO0FSN5pK01UtKuzolF4NzEmDyqOkuJRTCGGZlTDYVljhjRWlGToiCBVBTOz9gc8X5ijgGjWxa2Qy9XDNOIyoFFu2AfE37a07UtnW0IsZCkJs17Vn3PMO6Z54nS9BjbHYUbnl0K5GmHUbJa48b5OFpUxOPP4GR9gm5XTPNYg41aMw97pBAM7oApBdOtSal6qvm96KVbslpvAFXbBVBJZcdbzuQmpiJpjGTZr5lDOI4o07F2FchuppESTIe1hpgSxEgsEZHrwdpahW7qAbff7SAHZNPiQ4UylPsbEBotNVYbVNNUpnguTPPAHBy2sShbjWutzExTDWAa2+NioleKJGCSBYkgxsqXziWTS+WEiwgLa2hUz/3tW8J4g9ALYpiQErIQtSZG5cOnLBBa1HWL0IhSmA53zH5EURDSoLWlbXpcDPXzoNDYHmFMXTeoKgLKxaOFJKW6LpAiQrcGqFMa3ZGKRIiMtYtqw1MaQUIed2o3+wN5d4dWTYUYhVCDQXZR++QhIJsqTpKyClpU09EuH9XfjzDXw8w0GNtjlK4ykZL/kXBHLuTs6pg+C7RWxHmoXHkqXjjFGiqTZGKqrRKtDYvTE4SwBBdquJa6uqAk/HgLUmFsC0qh1AN6IZAik4Jnmg5oWW/sbtgdX+Q6hLKcPXqHWBKkUgO22WNXFwjT4EUkp4lxf4+xEpGodLxlXU/1QiIJZKBdrEhuJkQHusFngT8+J3KuIVqyYBpmtLWEcEvTLmi7nqbRxOSZ5pGYDF23IEVHOK7gmkXL7CdKitVu6YeaORGQUSBryPJ0eUopAi0guolpmNj7A7MbKRRONqecrjekVHCxYNoOIQqP2kC8+pLlyUPmm2uef/kt5XzBn33vu9z/7gVfvN3x+Ps/pu/6qjWm6pBjcNxfXXP9+jWYS9z1Fb/98gXj/gb3VvDrmzve+d53+fHZhuvnL3nBmu/+8Ef87/+X/yte3Q1MIdAsFlw+uiC5kWGX+fgH34HrG1YLy3y45/pFYbzb8eb5a37x689YfvAR73znU/7my3vU5YfcPv8N33z+HKk0TatJtsd2a1TOtF2HoI6tcy7klLHW1kpyjOQwUaYtQkoOo+P54Tl0S54tVvSmISlNIzlKyQolpOo9cROJAovEWaNwb19y/fIr/MU5DZLZbZlzZPPsER+entNbi0EQfMSPM+P+wP3tji8+e8W3N7c0neXy4RmLds28n3G7O/bTgZs3V+zyzIPvXPCdjz7mvD8n+8w0O8ox4E1I7K+vef3N75jyzOLBBzx89j7rdkG4H5mGkSgKJ0cBjdEao+rqNzhHcBPBOeb9wO52x5e/+4bPX37Fe+cPub9qmJxj9bDnw48/4bR7iB8j097/YYf7yxfP6ZqGIGFwM/4wYFWlvLh5ZDrcMkx3lJRZ9QvGI6hFI1h1G8xyQ4wzhKneRHw6AmUE6Fr1iqUGrIxW6Kajs8tadzAV91mAEEIVcghIKRwVnL52O4PDWlkZzU1HkgotK25yP45YUVDqQEESwkSvDSenlxTbkFOmDzUgMblDDfRRk8IyZ4oUjDEhS6W32XZNYzts2+BTYZ5G5kO9VWSlOfi6S+u7FTk5jF2QjqnmECO3N9fk5Dk7uWC1OScgySHSGYEqhX5zTkJSUn37T1lUhnlIuGlkjhm3vaFVAkdB+IAxPUIpfKn9X4RCCEUkYYhoY+mspfhAzp4S6yhXyoqxjdHX/bowYDSxJFqjceOOcR5IuabrkYaIRgYHREJKlJRQv/fMH8UhhEzEY7qemqD39Ms1WjU0WqOEqorHlAjekYIiy8RyeUbXZ2KOtLZDtj07V3nkRIeeD4RS2OZSDVxaVYDKkcVdcsL5iRIrqCj7mTDf1TG7aWmXZxi7IhWJLIUwz5BcnSSQiV6jdVX7blYb2nxyTOgmOMpFSspszh4gSu1ui6NKLsyO4OpDXlCVptJUQ2F0+/qCqiviNqQK3unbNTF6crwjp0izWCGzojUSY5cIaWrfftwhbItAkUtCsq4hPiEgB1KacfNAcftKxROyVo3E0bo3b3FCIYWqhxGZap2vXPTgBkiRfPwj236DEB0pJXwKRLdHy4jpTogZnHN17WUbpGrJRaJlIc33DNNUbWoNiFQPnXL0OzTtAudrfU2LQrs4qajesIexgOmJ0WBNwxgiKTq01qh+gZIKE+sXuDrp8G4ihIHd7goE6H5Fo1uKsZQYYXyDRbBZrGi6Jd45BmXq73u7RBwtb1rWDFAMgaKqzMh7R0bRNSeEIhB5RguNRHD95iVKGxbrFXmesIs1y8UKUQSH/ba+KApR1bVpRquGeCThna6ecpgrAU5KifeewxyrGKdEYoSYHe/LHcqM+K3k9sW35I3lJ9//FDlkPv/mjtcz/OXjRzx7+oTNYsnLb77m/uaWLz7/nG655F/+T/5HMB0Y5z0nqwX/+T/+R957+AF//M/+hIeLBdvXd4TTx3z/6fus1yt+8P1PsS+veL7ds3lwyY//yQ/55N13+N/+b/5bfvzDj/k3/7uvcXc3/PpvB3aXD7h/fcXdYeA2Z9TsiQfQq4es05Zf/nzPNzc3nJ5veLy+BFXhXV27OuKkBeSaWh+iJ3mHB0r2qOjJwz25XRBMz+K0RVKzQ7ch0lhD8L5isEW9MBmjaQQsTOLpgw3x6jW7189xWqCE5urla8Y488kPvstpu0JTyN4Rxkp/C97jZs/Lb275f/zHX3Ezjzw4W/HR++9g0dy+fcNh3hJKoX9yxoP1u1hjWdsVxSWmYeRuO/Dw2fuIOfLm22+5v79miAM+Rc4XGxrdQhYEF/DJsTw/YbU4MkdSIjtPzoXoHON+YJ4dt292fP31c7749ht285a7W8389JT3PnyHh2cP0bInzol5mBh24x92uPvsIWQ6o9m0LQcK12++rn3oTIVTNCuSdwxzpGhRobNFsnMDZbonuqnCJmqSqMI1pEaISrfq+g1Nv6zgCyFIObB3kXD7mt42JN3incMK6PoFU6mI2lYZEpmubWkXPVrXlD7aQgGhLX13hBxQfcHOTUgiqRT8YWAYD6Ts2e4rnYy2p1+twVjCNEGNulRdrY+kOLO982xWp3hhyNHVTndTpS0ix7pjpUJ5psmTMrWGlQqr9TlNtwJRSNSw34TCx5oGHWOmRF9HyKZa41x0hOhQqjreF0dZQkwFhUDYhhw9F6cXzLH+vKw27Mct87zFhoZxHMkoequOPHPF6BynixWnJxfkIvFuxgWP9445DTRtx3K1qb3y40tWzhkXAo2AVdMTgsf5erA2xtA09rhnjSQ/sttX5K0IM123QGiLCx7nJ0IulXKnG9pmAUIjRMQqQ4ozYkqoGGiUIsj687RJoK1kcgfG/ZYY5loTMxYpa+1RNvUmWtqE6U8r99w2KN3QWV31njki5pESNUYbhJJHSE7dK5bj3ms+7Ig4etGgpWbOkXH78njDP+5S2x6lBKpfkGJbNaamqUEpoQj+jOjGepsWkhRnsoApOIqfiNGjtCTubmuYLkU6o1mfPqTYFVlkrKie8jA7hmlLSYFCoMSp7pJVDfPopqaxc9hTcqy3HNMhTbWSpXhAGYNol/TdCh8gJEFIEzlOaAnWSJKsB3NnG7xeI0qquYXokEpgmh5hFtimxZpKw4tuoG87XNCIXEAmSir4EKrfXsgqCpICsiOmhI/1YR2GA4uVoVmu689y9kfevWc6zJSSKSGghSAoScySUix6eUHyHh8hhJGw3xH8AW00TX/GtJtZZlkzDKohicScQYwzykgwit6uENJVMRSqvuQq6gTksGUcbusaScjqydCWyVenxmF2eDS9acgiI/KID4UkFVJrpA+4cYDDjjtR6Fcbum6DSJGswDQLnJR4P2GUYiEVC3FNVg3zYY9aNvzkB5+i9o5XL6/57Pk9Q5G8/84TrFbcXV/TdRZ5ccYXz18yK8n5askuePrzh/zub3/DxfsP+Nmf/hGnFG5eXfHZ87d8+Of/lGG7x4XEd378I/bl7yltx/s//C7/+l/997n93dfsb+5pheT8wQWrzQnrs46zB2foGHn95oputSRNMwcGglC4w4522bOOnouLDUJI5gTTbscwBaxW9K1FKYXbH9jPI4vVBpVSrSYTCe6A3KwxpmOpF/VFqxRCjHTGkL3jandP8DPL1QkhJ1aLjgetJu2vubv6moMfOX33Mf1yxZ3TPH32kNPlijbXxocfDwyHPSE45t3Il797xfPXb3lze40rjseP30H6yDw68DPb3YHlozMeP3qKFRYpCipBmAPTMOKE4mR9zrTd40nVrTAr2tUSa9vaAxWAEthlx6IHVQriOMJPwZNc5Y3c3W3Z3e/5+199wS4MvLh5y70a+aN3v8t3P/2YlVrXl84x1fDx7sD2Dz3c2+WKME+EnJjGAylU17hUdSxrCsTkkdpgtSYiqvoyesgFow1Nv6pgC6noTJWrxFzIydM3LQlVw1Upctr2KLtgTIGYIgc3QapUq52fsYc7+tUpUghKjqzbnrbtydoyhxmTPN65Sj1SGqkEU4poKdFNi7IN4xS4ur9hHvf48Z7kfa3cGMt2PrC7fUORAtP3x+8nEoNDZknTtiz6FUlpSgHTWBa2J0pRjUwpcRgGnBuwWqPbFS5EWq3pzi7qjSsmssjkVAlGMtbbKhmENmhTk8hIW39AsjLBk0v4aWAa7yrBzDaEmCiHcuSZKxAFVQpuzsx+qm/JStWOp65hj3EaiX7ANgtGF7DSk6Ugi4JRpTqEY5WL1I5+RT5qSj2Qc0Q2LSlGbNOwWi5RWhNLDbeVlHHTgWx6+rMlMsfahBACVwrGtEShMKKgpEAAsx+Jfsa5+iAXUlJEDW5qUV8ChJAo6l7cHwUrUihs26O1xUePQGCUpe0s3nto+iNPvboGjADRdkhf0LIhRk/JkbZboLQ9YmUT0zwQQuW0O7/H5S1kTwwTomQEgqws1vb06bT+GglZv04pscKiTEvOkSQK1rbYpsNNOySlNin8iOAoLymeWAJt26PNCaiGLFtyKiwWF6wWPbvDDqNGojTEeUvOgSINAkmIAznsK2teqbpLVw1SNOTjjV3qliwEtm2JMbLbbknRk4Gc43HPHhh2b7DtAmWX+HGHlJUOuFpuSGXBNDtmP6DijJski6ZW1IKbq09BSKQ61thag130R+d5raPKbnmsrEEX6p5aqlqlDS5SvCe7CSFFHVfOjkx97qQCUmpUrj+3pl1jlhohDdPhnri7RiqNUg1agpaZ1y++IPoD3WJF323QtiUhqx+ellkWdLOhbZqKr1UVwZuU4uzsEen8MeRMygEfQ63jxUJOgVhqKLQRAq0NWmr6RU8sNW0/DgdCEpSSsU1LTDAf7hGlEOOMNAeW3RK1ukQqyybeol69YVYbymnL++9+iDjMXF9d8+Xzt7zaDzx4dIEo1duupMRPmddvrrg8P+XkdMmLr78gIejLkm6z5F/+8Z+xLpK3L9/w5Tev+esvniMevEdpTtgUx/LRGX/6T/+MX//8F3z43ruE62u+/NWvefLsMc+//BrVa9a9xSR48w+f8Zsvn5PWS05XC955712u7gq3NzuKTjy42HBItVbcLDfQn9DJvq6oUMQQyd7jk6PpDTlODNNELAXht0iVMYsNbbdCJervpalSpt9z+terNbOXRCJZCJSERkTsPHMIAxfvPebi9ISoV9gHDzhddNhUcNMBN084V18Yb3dbpoPj5f09++iY/EQokfH+jrvtPef7A+Mw8vCjd3n68DHK10O6rr0c02Hi4D2PvvNDrC+M+y20mkeP3+f1Ycthv0UUQcwZUwpaS1aLHiWq8Ck4Rw6RGD27mzuGceDrL1/zdn/H+pMz3lfvsn2z48lHj/mnP/sZ58snRBdJvhBjZp5mpmnm7bdXf+DN3Y2U6LneD/jpQKMqFtM0LVIapJIIWVBCE2MhpEipRxhKypqaFZWT3VhT31Ry3TH7FJgOB4oQWNsipeDgBkTwWCUxUrDd3yBSounXqLalFMk0T0jb4EvhMN+Tbt8iZcFISdv29P0GoTVZQCi5YjpNDcuEeaje9RAoCFSzpukEKZc6vpUSawzLfonpVkdrWlXc6iJojUaUWgFDSUqBEAs5BhSSQIXlrDenGNNV45N0yFJpanPwTG4gxwCl7oxRFilBaoMRoj4AfAaVECkAgpDreB1j0aJFImuYURoWfYeyPTkXfIyUo6NbmQ4pBMYYlIC77TVjChShScERKCQ30U5bhG0IwWOlxrR91fC2C2bnkSkRx8icPEprRIrH0Fu97cZUH8jKQMwCUqSVtYaSoyelUIE4sgpw0PUzdEfCniiRGI59Y0BIyXzYIkpCma76vqUko1GiGu60bUBYiIESZ6RRGG3QuiWWqk9NWRDcATEPdfWgNcEukcEhpKmwl1S/vu08QgnkHCElUnQU6vhUKUtWmugS1WakkKay1kEwjdeUMFMARCWZpfaEpl3UF5p5qJOMVF946yF3NLgVjfdTrQ+SGUcH8aoG4pannJy9Q8qe16+uCPOOlAJSW5arC2S7pEiDkoLxcEsOU7X35VA76TlVNrys3oaUAskPeCIZW18uc4RSDx+lGjBnpJIZo0PMryHPRzujxFJDQS6MR+Jeg7an3N/eYrUlHxXQ7XINQqBMe/z6Ku8glUJyA5LaPkCKKo+h4Mcts3PEGBDJIUTEmKb+Obo/Oi1qQlwIzZzqvnV7/5bNeg26I5GRTUWLkiJ+PuBLQShQizOEXdSMzd0VMVX5z15a+sU5xjbsENXv0PdY01UglNJkXw2WUhSWTUfJgaILsrU0xVTr27QDJKkItE10fY9WmuXmlL6fGY8UxylEoqqTBGkURUTm6CnO1dpWeUubJv7kx3/JozZi48jtqze8eHvDi7c3jPOBbnNCnB325Aw/jIyzo18uKLvIyy+/5e/u71ifn/Hs4UMOw45F7nnz4obf/v0X/Pr5G1bvf8TH3/8Bn38zcH13j+n3PD0/4dMff8qDB+fc7+64mR2XTx4Q93vevL1i3r1FA7Mv9A/P+P6nH/LHP/kpj9en/J//r7+kqJHvffSE/+63v+Dk/IRNa0lNrVkqUbDWIhAc7vd89vx32L5FZQjJszk5pVGwHG4rCCzLGpZEV1w1ILRGC0WIidVywSItqxRMKhQzWkdymXn4wfucnZwipcWsTtB9jwgBT8TPE/v9gXEYuH5zzd08MMfAx3/8Ea//5ivCYSbYjOw0z54+JJXCo4/f59HJKa3QCJmZ3Yx3jmkeSSnx6ttb1OYadoGA4Okn36GzLW4a6dcnGKHqcwaBG7aIUl8cS8pEN+Pmifkw8/ybF8zF0z5d8rMnH7LULbtvdjx48pT3fnLJWXuKSAKSYnQe7yekhuzgb3/xGf/NH3K4DzdvUE0N0tXzL9J3a4o15KJIZFQM+OJrKEfWvW8RdZw9BV855LIwjhD8AT/sjwhOjWo7TL9E2obmCMjY7rbs9ltyrAKLnCI+OlrT0rc9wjbEnCglE1Uhm3pbU0oQZWGKEyorchQc5gGpCtsi64M+ukrTsh2NqjpCZexR/lKDe1oJMrKGBKepYiupLwBTjiipEcIjsibnSC6JjCAVgVUKu9gQyUzTTDz2rGN09VZgVK0CHh96moIQCtu0NMZiTIM0HS6GKtFIAWHbmizN1BeEecTPE4hEQhKioshay+uMZJoTIcWarA6BsSRKSbh5j9YNIc4gFQLN4GZ2+ytKnInRI6Wm7Td0y9Nah1ISpVqUFoDEuYEUPMvSEaRiN4wQHM7tIc7H2yt1VFsCMUS8d2iRsN0K067wXlWXgCgoUZjHa9K0q+a76OFIU8sp1Df25EHkf+S0S2UoygICJUx9sYlrYvB1nG86uv6EJOuBQKm779kNkCaQmkzVmNb0SKHkGs5Muab2RXbHm+ey7kP9iECguxOKao/o4AMljOQ41uCcapDNpo7W92/Z3U+UnEAKpFkidXNUBzeU5CmZOrnpT7HtU7SShOSPgJXA5D3zm68r8OVIQDTdCbbdsOgXNBqur76tlchjnWie7uufnRxCmXoj9wdCDrWDiyC6Ed2AsS1KLYkp4IbbKuyRhaZbkcqCGGs6PkuN0B1BL7gPnkh9MU/jLeQrtFJ4qLtQKbBjixKW5XJDQmO0QoiMIDHNATcNaNNiFg+Ik0eoOvVRdoWxmXnak7M/inYsQtU8R4gZ0ogP8z++wPaLBWMoyDjS9T3r04v6ecWZYX9NPqKoQ3CEcWYuklTCUTzlQRT24462XaFMi83nHCaHFVusLNim2g2lbehU/X2PRRzxqQqrNJgGH3MVxOSCajuid6QckbmKeRb9gj5LcpGk4EiluulF09M3PRnJskC7vWPx6CMuTjeYwyvefv01X339gp3QfPSdJ/zm+TW269C2qS+rStcXiWiQOfH6m+d88dU3qDev+Ltf/wMfv3/J1deer755zcmzp/zTd895/OM/48GDB5jWodUz5sM1737wPn3ToqUkx4f8zX/6ezRwc7/lz//qz7mQhX//3/2C7tGCH/70+/wP/+ovWRbFzYs33BwC711u2H79Jalt0UcraNEdsVi6ZoEuub7kN/DBRx+TlYLkEUXSNh1tmBF3X5C1xp48QekNtRia8MkfW00ZIRUpzKQSOFt1NBSMbvn4Wcvj1Vll2YcRV6BRBpki+AmfEtubW755/pIhOLJKPP30GReLE/IUmPtrrNaUrvDdT57y5OISe/oOZ5s1Jmei88TZM0x7Siy8/fI1X79+wyAU3d01zalhfXFJpy3ESI6OlDvWiw0CiRsGXNgxjwPIui4jRK5fv2G32zI2gSfvPeby7CEL2REOnq245+nHl3z4+Cn4TFCBnArRzwzbA8Nu4td/8xV/89lv/7Cb++xmlI9QKgxDtytUEYSQjrcsUIA0DQKFNZZyPOCtkCQyKWZ8mBjnEZkbUAOrdsXJow/rOFmCc56QEjfbgXCYkVlAqWhWkVPtMuZMiLVaJbRGKs2iXdE0LTlTa1lty+wmsvdgFOEQ0an+4ikh6kPF1NG6Mk0VXgx7YhpBiErjkpY5+robnh0KgVKC1tS3z9lNDMO2fq85Hw/42rHMqQCZfrFm2XQ0yyVFSEoONLZjjomYMonCtN+CqEYjv72h9EtUV93gfduRU66K2Aw6J5z3hOjIOaC1oLEVIBJjYvb3lCwIMRKTh1JtYxRIZGL0pJjBbWstrTuFnLk4fUCWj3DT+I+jyNYatDTMYUR5TywzaI2SlUWgskHahpwTYbxnPtySRal9bNMgdENIYFRP1pmcJL4k5skhnKORohrdpntyHOrXG2ulrBzBMkKI46GWjt9LDSkVKckoSpYIbUhCVVPU4aq67nWPaTtcksR5h5AVrCOPopX5OIamEgoQItcRtqyMc+njsTJWrWLTcAdkTHuCVB1NuySVimA1uqNIS9ZN5TAITSkVniOsAXqsbmnaHm17qvm9BhjnAsHtQSpsV0FERhus6AluJogD0xyJuRrHchirBz7MhOEVww0UCrnUoCOpkONIilM9w3OtG1ZgT4dqzpCmq8n3MhHiRCHUSU9JmHaB1ium/S3BD9h2SUwSoUyVvxRDTAaBRpsWISOpCaToabQiQaW9lUQ2HavNJcuu43Y3IKQGMuO8w80RUTpysXAEfagk0c2GnArztKU1BqFWCFEgZ+b5GqU1OXoOfq5/qXOmCMni/Amr5QmSTNvWEKBRErXc0C2WpJTx0QGS1WKBzILru1sO84SUBa0VCI3VzfHy4nDznp0fUUrSs0RIW/3tukHkRHBjnaiVxLKv/H7TLlFNRyoCYyymtcgUCa6imXXTHp3vmSIVKcHVzTV34QW9MRShafoVrS5YVQi7a6abtzx/85b2nUv+5MPv8PIfvmKcCxfrNY2x9F3Larng/vqG3f1U1b5aYBuDTwVy5OU3z7lYPOVHf/ETHrcdb+4OXDx+h8vNisvNgrZr2V1J7l98zWAMbb+gsS3bqy2n7z/j9ctrLj98BAbeeXbG6v33+S//+V+ySIX7t6/4u9++ZNALTkx1fYzTxPr8DCk0twfHze4Liq4vICILilSE6DFKsj7ZsLA9fdti7g7swohYP0DaJaLIeuaUQiPqfyOVom8MemX43nsbvnO+ZH91wzhPnK4s602PmAdCkdBuoCjcWGExPniurm+5jwfWj074+N0PsEWQXGF7c8/vPvuGfXA8e/qQTz58j5PzS5p+hUqFkiLjMJBcYH+/5eXXVxxE4OT9cz598ozzxx/z+Px95sOOu2++IbqRZDPLk1NSrM/w6PfkUNXO2Y28efGGwzQQdODi6RnPTk9YL0/o7Rq/3TEf9my3B9bnPWu7QGVFcokwT+xudjx/ecPdbuDej/j0B6blFxePCcMWnSWm2bBoF4iuw++O1CfToJqevl2gdFPHVxJ88rickSEjjSK6+vBPKHS3qbe++xuSgBg9UFnlxrQsVyekUh9suhRKjsQYEcFBiTRNj9ANMURScBxcoJRAqxrUNGC1pe1PGKNn0zccxjqK141FG8Oyry5dFwvOjdQsuKTRBiEsCMNisUb5sYIzppEQPaObaW2DsR39clNzA35C25pBgFrxMFXYjD0eGKPPhJi5HW7QOR37rTUgFI9cbHnyoNasQiLPjo1teTMeuHvzJWncUlS1liEtKVfs7hxj7UgfX6KktPSLdU2SlkzOgKw8cOdmUgxVP9v2tVeqDcpY9vOE0IbeaMpxfKqN4aQ9oaTI7c1L1OyYUySkgpIKazKROp5enDxCKkVjLUIofJjJxwl2GO5QeaYc1wMpOMbhFmJ9OAJY22H7Dh+hkI71NkdJsRq7Kt29PtSlBWURpT7gkQrQqO4EbRYgJHmuLw1ZaASVUpZyQS/OKsoSTcoeoxTZe2IOlBzwbk9OCbRB6O5YTzO1jx8SRXimeSCnhNEa2y6qMU6dkZUlxFIP1gLGWJQ1tFpjhaxq3VyOL1meTnc0J0usaejbjgRYrdjdXTOMB5qupek3FDeR44g2DVJWmlpICS3AmsUxK9AihMLNh8qTlxqpOjj+/SMnoNLSShqZt/ekuEXp5njgVwUz0tBuHhHciIt1Bw+QhEIIwTTvyTkipDrW40RdqZBIQmKbFVK1CCFxvnCb5krrCgNu3OGjo5RICgGFoehMpsOFCPNM2zbk4ompVEZ4kUcjXVOBVW1HjGt8qmyGkjN+TtyOL5B5QpQEStEu1lgpsNag7QaRIIQ9d8OejCZLzeX5Q1qtiGHGe8807THWYtuGhRbMzlBUlbk0xlYfQVHshhmfHTmMODdzdfuSGEca27I+eUDXLZBF0llN1yh8ynhvCPsDfdehSsL5VHkGTYMQhbtpwOcROc+ofua7pwp3e8XVq1fYB+f80fc/ZXx5zfPXt+R2yYcfvI8xppLvUiLHSPCBYbdHFIFCImXizeu3PPrRM372s+9xFiUvX11THr5LZxqS92zvtpxcnLI+O0dqw/3dNTcvXzDtPL/6+Wf8cL3k7X7HH//oB/z9v/t3fPjjH/DP/uIvYBq5eXvNVy/ecCgF7wcON3dcPjznz5dLPv/tl7jWsrp8jKJebmzbIjKE6FGiVNrjMLFzCUKg2d7UVZVdVjJkSvWfmHA5UnI8ejMS37885UkriMOe01XDpoNVb4/Nj8BhmJB6TRlG5mHPeH/Fzg3Y1ZIff/+fsLYdOivccMAfBiY38cXzV8wKfvpnP+DB5RN0s8EImLd75vnA/XbH/e2ewzxxUI7v/fR7PDt7wrgLKN2wOjll3a9why3XL78lelcxt7s7dCrkWKfG427LPB+4Odyh1obHTx/xzuN3aTBEF4izI3jP7mrgy6+f8+zBY5ILeD/hDp6vv3rBPkwEK7j85BEPnzzir//jr/6ww/3B+oKyeYAVFetYjhY4o6tNqV8smZJgN41oRmKsJLXVsqdtLEk4jLGs+uqdnr2DYw83BsccAq3pyVmgtaAzLdpW5/UcI9EN7Ld3WCOZQiLPnu10IMxT7asqBarSzYqoVYumWdD2VUfamZZ3Hp1jm67iRkUlZh2cQ6TIqukpTT7exsYagEKT/USPplv2yM2DeqMUAlkiKWamGIlxQKtqmDLWgpKkAgtrWRiD0hVVKWOsZKfkOezvuLu+wojMcnOOkg2r1Ya265h94Ha3xU8jV28G5nT87C6e1BtoEeRUaG1b9aTKcJgOzNsrztcrxGJNzoIcPH2jse2aOQkKdbrQyFiT4yXTaIESEaU65HJBiQ3EgjaihpPmme3N64pbHe/JqSbilWmJuuX2/g4J9IseIzUbZVAi82aYmHyqLBytKUoiZUOjJN4HRI60izPCPBwP6FB7rkIiTCH5AVJCqgbRn1HMAmMaUsogxPHAlmghUcZWv/px5KelIBWFlBc0jUE0Xb0tCCpMRClkkVU1GQLeDYSSjoe/A7tAlto+0LKvelRk5dArQFQZkTEVpqSkpG1bhOm4v78jhgOIeqikkhExM4UJTw3Z5QKNbWCxJBfJNE2EBM4HWmuI+yvc4RpZCsVnNuuKVN3v95Bm2rZF50xnW1IWxOxRQh1FNNVQaIwmp0CO+8puz6ECW7KrOYKSapNEWLKwUPTRQugpotL4pFkjdZ1cICxFCDJggJRq+FSYtuYp3EhMCWWW5HTsxZPIuXIACr/vlB9Dn6oBlevYNqvqZ1ANMUzM01gxrdOeqcx0yxNMsybFTEmBEGUNrcZIiY5wXM1JUQOOIUTIDnn3lhKnuuvXfc22CFg/eJd+eUJrJO5wzWF2uOSRyiJVQYRYwVAaTFNfCA/zju3dTKMrGCrGSjDsW8tmc0EqghQDMQVE9jg/khP4ZBmCwirJ5ekJmAUhRXqrq4EuJxIbShGUHHAuUJSiD3c07S2H7Q3NpuXDj75Lup/49sUVv72eEf2Si9MNl5eX+OHA/u4OnxLD7Li/3+PmmW7VY8jctZpP3nuIHiPPr3b87T98wQ8/+gkvvnzB/OCM4fqGq+u3nJ5t2Kw3XJw/4OLski/+/gsOJfCff/F3iL7ls7/7NTeHiU8uLtm+fMnu/o5DTLz//e9S/vZzfnvzFXt7x3cfv884ZFarFZg1sT1FqZbWWLIUdQqrdH0GS0HqFjXzMu4Iw1X9fItkf3fFOM40fYuVNfNkm8oMWbaCRY68/OorHlyeoTrDutc00THfveX1198QNktO12eMfiaEiSF4Nu884nJzwcliTZ493o+47Zb9/Y7b23v2fubRu5d8+skHGFHBTcP9lvvrt2wPO/bDwEzh9L1zvvvwMaf9CWXKuMnTLhPDOLBsF9jFqjZFtOXJux9hUss43zFt7xndDYfDPXSSj37yHU4WJ+QYaIRFF42fp/pMmh3b+z1TmVg2imm7Z7fdsj+MDGrk8UcPeHz5hJW54OtfvUYJ+4cd7lYbopTM01TToceOLhSy88zTXJWKUtMZy/J0Vbu581ipO6pFJEHMBR+PUImcsaal69e0JePnCQG07YKcBTFHxsnXEWQYsV2Pi5Fo64gjuQPGGPrFBe36lKItPhVkKrTG0nY91naABCQ+J7bzADETUyCliPP1FzK4unuTsnavTdsRpwNWCBbdks6o6pZO/qi+zZAyKyV4dHqKtS1O1JuMVYYpFawsuHnCpAkhFXmeGcc919sbilSVXEUihVcIpZn210hlajUqVu91VZjCPDsO21vifI9Wtn5PWqGOhr2cU/0nzmwylJwJYWYqCt0eyNKitKFViigXCCEZfGX1IxQx7o+rD3+UUCwRplSkrVI06xOa5bKGwsKET6UCWKTGuwPu5p7eQGlbRLNERoMqIGRC5MiiWyDEit3hBu8mcnJoIvIYfjPNEh8CMXlimElFIcjI6DBKoXRdT7SmQZsWdIPVFiU1q0VfA2uuAovMMVQXcqYgMdbQWssYItNwIMeIMQaRRFVIlkgRlbJmZEuKAmRCpEhJ23q4S4MoCikaitD134uk6zqM0oRxi5n3XC560vISFxIxVCqej5HJzeRSjrmNwjQdiDHR2pbWLIBMSp43VzcM+7doErZbY+ySnS+YElks1+xHyZyqs3w/TSilkVpXKUwIFClqaC0EUo6k5Cg5UnIFvaSSKRJErtOFnCOEUG/9zRqpF6hjBVGp+vmGXMilCpqsqvVSJRU5RXJOlcjXLI6UO8g5VUtiOH7+RlfanagvpkqIikUSuSaBSl3P5HAgp4FUwDY9Qmt8bClRsllvQGS6RtL1XaUQjlvm4PBJEPxEiSM5JSQWJRt8SiRhSaICqUoVVnJ1/RZz8xZjG4wUNN2C5XKDVRbnA0kIstK0jaaH4+9ODSIedndM84RqarVpLplpvK/TpVQd71ZLTH9GbhpyDswFhOi4G2a6TtBpSzxCiqK7x9gFq3ZJLg0KyRQitCvOTxR98jx4cEoZRl69fMtXb+64HusLc2M0Obgj00JWnn3JdWUlBd2yYxomurbjF7/8Bnc7Mu8Gfv38LafPXyFHx5fffM3H7zzj87/7JR5Yr9acnKxZdh2//vlvSVpwdXOP1Iq//sXvuJ92fLq9ZmUfsXj8iKfLDcOLtzz/m59z+OZr4mXL7r0nnK4X+N9+w7hacbi/w3YrsrbHtZWg69oasE6ZMDtEiSg/QjpQVLVXHtKMNooSE1MJICWiJKR35CT5/DDT5Jnt/Re8984Za7lgf3PF9uYtb9++pjTv008zh+2OKCInTx7y9NET2iKJ00SaJuZxYBwHDsPM55/fcBs8zz665KLvAEM4zNy9ecOb65fMJaE6zSff+y4n3Ya+XVKmyG53IDct5w+fopUiS7C/zy1Q0LpD+ERwB3yacNHRX6xYr05Y9AtaaUgykEPCBU8MnsNuxzQ4vn15xWE8cH99zXab2IaZdmV4/7sPePLgPUzqiG5mut9WIdUfcrh/+/JzQgrIBOvlCV23AGUxxzGeKKV2WbNnjiPDNHB5ekbbNLiUcSnjw8jkJkoKdELVAIiu+2rnpqqtVJJXr75GxlDpccjj7rll0fUo2+BKvRmkUKUsrWlRTUPM1PCZ0ARf+fb76ZZxHOlkpihDKpCF5hACohQa29A3lmZzijIVnWm0pkiLFlRGsJRMIfDy7Re48cD/m7M/+bU1O/MzsWe1X7Ob091zu7jRNySDbfZqMkuqksqWC4Y9s2HAgxp44KkH/ps8cQG2yygYAiyXCirJSkmZSlIkMxh93Ijbnm53X7NaD95NziSjOCBAAgR54py9v7W+9/39nqexjr5f0vZr0hwJw4ZFt2R59oARwxQzY45c3bwkH53ZQwhs715jDSjnRc7i4PbVM3LYodFUbVFKkvNVazAiyPHdGYvlmsE19KcP0NbjjKbtepRxpCkwhJkaJ1pvKcqSa8S1J/huiTENxVoaI97tmAtznDBaceItZ8uOKQU2+wMpe8I8MO1v2Q13xElEJzVNNEZ883E84PyCs9P7KNcSm5YxF8K8I8wZEydMPVDCAWVEQXp1PVLQoJygULWmFiVUO1WZ7rZyyNaMcQ10JxjTopuFBByNxVq5mYYqkqJ5miBPjFslITstb4XbGFktTlic3qMoi8mVabvDaMXKO7JvSFneDGstNM0S3x5JhfNMUYZcK5pAQWBMpBFtGxQa5y3eaTSB3evvuLt5jtIF41r6xRnt8j62OaGajpAiBlh0S8J8IKcg+2vfYhtzZNAHjIJqDKf3n3Dv4TvM057hsBVSIhJoMQbOTk4FTTlPxGnEqsKybTGuZQjxGDBTpJiJOaKsmLhMlV141ZWYMjlFiAeostIoVVoa5ghpMX6F1hKKbLyjHC/4RWlqqnhn0daAtVIPi+F3Jr6UAjFsoM7UUilRiJGmWcrFVImgxTgNtZUdea1QhSmQcNJCUJKxME0nli0D2VgRKqWB6TDjO8fl+RkxiWgppsg4jZQUcCWQM8RpQCmD0pDTnpInQoVx3sv3PczsYsbrhqoqkFkD3p4yDAOH+Yr1YkXXLVitLjF+ZBwOmBzofIvv1kLBqJlUC9Y1eGspMeCcw1l5Hk27G15tbkFJm+d0vWZOjlAqm81ryDOLk1N639B5w8W54zTvqSFzc3XDz3/+t/zy1cBNaHnnx9/HW0eY5fMV5pln33xLyBGF4urmmtXpkv3hQJwmno0Tz5/f8P77j3nv4w/42Y9+yCd/+Qv+xV99xv/4l7+EaUucRnaHibFWGusIQf53jGs4vb/m/T/8mPtnJ/zJH/4ZvVLMmzuuP/+Cz3/xKXdXzzhRmV2sqHEiecXlG/e523tCTAzzLcpY2m6Bqopvvn3JfhhZn59webIUqqdKv1tlNcsTsllJvTMEpjjiHQzbLbsiazztW+61Pc9fvKTpC+eH5+xevWCfZzj1PLm8R46ZBDx8/x0eLs8kcV+l1TPuNkxhxLQtaTqQqsbbhpPVkhoKc6gc7q54fXvHIWcevPeYNy4vOb94iAkCoxn2O242Wy6+/zYXFw/RoTLNI0krxmHP6uwcax3GW+YxMs2BYgz3Lh/RIZA1BaLEHQNhnAnTyLgb+PqzZ/zy00+o68CzF4aTpuHs0RkfffARTfEQjrXRkNhv9xzG37fn3rQs3RqrLcZKt73GkSkmDBprW06WK4rzFKSUH7RYlYpRzEESkY1tZPd7lDZoLVjGUuQgjSGx8A3KeXBGbG5UMoXdsCfdXpNywjlPt1wJxKVIV5AKKUYOx6BbDNOR/BWlemQtpulomp6uWch404nQQSskHR0kmZ+tKDGd9Qy7Oxqj+ejt7zMVSGHE+5YSxU6EdWhruRsHLJpUEtvtHTHMkANVaXCWxdk9WueY50kc38MOfIe1ko5XbonS+sic7+mXJ2jXE0Ok1oRtWhZNh/Ge5ghYGeaJadoQNteUEghVhqDW9bhmwTgPqFpRSpHTjFEyfg5RQnm3MfBUZapxBDTGLyg5Y7XhZHVCWV/y+tXn1PGWUhIxSEgvjHsO29ciVLFCoOO3o1rj0Ur4/o4W3XSYtT+G1Qzqt5UrJylWQbXuQFm0banWYUxDoz2pFrQxdF7kI/O4I1dxGeR5f4TATLTO4Y+s6naxYlaW+W5L0RqrpI6Zwni0hUm4LqVEzhKy67oe366oi6W4ylMmTQfa1pGUIYeINYZaoXGWMAfm6cBMw+nD79N0S9nNK0WZJjpdaE/OiCjG4cC8lQtgVTDPI8ZA07UY3XDYbmgaQ98uBaOZJhoNdr0izSM1ZYZhT0HT9wuMdTjn6bs1FPnnN3WSMb6GQsW3DZ3qaBpHTklGwDnimo4QpHqanQB4mm5FPSpkpYpYMM5So4zvf8t0GKeRlDJKF3Kc0UZ2x+YYaNStIueelarEwwnjuMV6j8JIziLJ59A1/lgNNTijQEtbYY4Qa5bLinFs9xus8zRG48noxpNqZponyjxTXUfRhjFEnG9xxqKjR1tPSYVSAiXMpH5Fu1gz7XdMk8caSKEwJZlqxFyJm9cMJaO1wbcrbhPc3t1hrSNXzTDd4ewtOke0TsRU5bKW45GI2dM0C4p2NBrKvKeUwGq14PTkgn5xjrP36JUV1oaGXArL5YmEX8PMnCNm3hPjnpQKfX8ffVs4bPd8/puvuFHw0XsP+Te/ueZnP/4+lxfnlGnisN8T5pk5Bm5fX/P02XfMJVCvt2zvdoRJsi6nZys+fP8h7370fcrdLV9dH3jZvcHLb7+kvLiisZWz8xPefXQfmwt/+8k3slpSmidv3ufhqoda2L54zvYw8tXf/oavXt3y+vUt9zsF2TNOiW3KvPnkkk8/e8lGrSQgbByqZuYkEwvT97ROcX3zmuvb51wsW96xI6okTN9zfXvDaGas9uynkVQy9y4fslh0UDOHw17U2V3Lwyc/4f1+S3r5GYNOnD55xIPLM3x/ysCSe28+5qTvsSlJ9XbYMuwP7A4jIQXSWPjsN0/55IsviHlmuL7j9bPn1NIx7gPZGt7/6Ptcnl/Qa4cOQpEL48RutydaxWp9Sp4CORxH831HLIlS5XNeSWhrsIuGy7N7eAzaKGk+1UyMmXD8W26vNzz98iX/5q9/zRd33/HW6QrdKt79/rs8OH1I156hqydMiWmMjJs9z59fyVT69znc+8WKUsEaL171Tm74fanYtmNKlRITtibpAzvZ8apSsGjurZeEEBjmkTDMNE7qc/kYlDHOS4WmSt1MV00myZuFEq1rzglrPb2xYAwVSFlcxvm4A/fWcL5ec3ZyQaxHjiYKVQutMZimwbqGeuy9D4cd+9sX3Fx/R4iBFGca17FYntP1S5xvse2SqC13dzuMNmQrIY5VvyZlqCWTolSAslZkZejWZyw4xdaCUYphDsQ4SlDLa3xRLE/uU5EE8dIaTNMSSqHVidZoMpab7Q1OGXzT0PVLGufZpsirq9foEglHahNeszA9i+UpxXYCJ7m7RdWJxfJclKHakEsk5SK1omoZYsVph8FiG1ESlhAwtVLizDy+IG+/g5IpWqH8MTVsxRqmbCftgCprGms6rF9iXUsESp7F7FcrrfEY78mIzEYTCLvXtBb0yQXVLQVyZORgMfWIew177nYvpCcqJfKj4EWCSCjFnAoqV9rTC/qmY5z2zPFA0U5qeNOGedjJZKBZYJxw1itKfoeHO5YlsOpO0K6RN+nGY5Vl2l5L3VBbqm4Yj59JYxw2jszbV6ThhmZxwfr0AndyjjIaYqRzRoJY9x+glWGz2xLiFhNmwnhAaY/1C6Y5MY3XVGAad5Ai2jrmNGPKhFaQwsRuG2i6Fd3JfZQynK1PoHYcpoHDPKGMx+REngfGGBj2BWM01vQorZjnWXbrVMmJeEtNEyEM+HYpBLfWEedR8LSuoRa4vn5FKQHrF/IvgSOTxpGgAtparHMQI7v9VkJtRfjy2rRoe47xDeOwI8wTrl/RdOKvt8agaqIzmtN7FxjtMHli4VaEEIjzlqiBtKFtFsw1o5yn8S2kQJ5l/55iRFuNN5ZiKqlCUIpF3+O0wvYd3lqmMNMtNUtjsa7BdStiEldEDSNVafp+iaqGWItcPMaBGEaMle9RUpnsllhXUSn+zoeAW3Czfcmwfw15kkvcYsXJ+pKzswesTx+SVcOklWC2dWHddZws7rMZlkwx4hy8c1Gowy272zu+/OIb4sWSf/JnP+aTf/Ur4U3sdnzz6aec9B2Hw4Hddk+OkW+ePuXrZ8/ISvweh/2BUAoP759yvl7w9MUt955EVLmlWSzpp8L9rmU+PWF1suS/+l/+57y5avn1X/2Cp9+85sGDc7aHEU/lk1/9Gt94rr74gt1mx/X2QLNYsnl9zYPLDrSQSr01zLlw9tY7nBzO2deWioR+Y9V0ZiFkxdJw0jcM00ijMyZvqVpWuL47QTcL4hgx2ZBS5dXtS/puwcnqhNOTM5xvIEfRTOcrcqN48vBN1n2LtR1JeZana9a+QcVAqZk0B6Z5Zh5nrl7ccb3f8fpmQz7tSQH2u4FhZ3jx+hX9/Tdh2fLo/mPOugU6a2qVldo8z4Rx5vb1lnm1xCgnorGY8csFaRxlPN8tsNai/RF81p4Ktj1nOb9SodRMHCOb2w3Xz6949s1Lnm2u2Q877g47/vxHP+aPfvozTrsTvOvReGox5BQY9iMvvrnh3/38l0x5/v0Od9B0rcN6C1Uxx8QwjtR5pnEyLm19SwqVCCI8yYk5RxwG65xIAXLC1UzbdBhr0CiKNqQwCXAiZ8ZxT68cuumkb+49tiLpV9eAsiSljjQthBZUC7oUnPHCP88zbdXcbTekOGA0ONdhcmEXN9ztbtjcPYXpgDGG1fkDQjaksMcZGV1Pu1us8/hxh3ctxi3QRtO0DcZY9tOBmDPDsKMxmphhipHu6NCONbOvUvNJuRAOW5y1dN2C7uwhvu0JpVILlHRgd/eM3UaqXBJWanCmZdGt6N3ZsTOeOByOdDPXoeaJHGZynBjyzDTsSakKBrbtyaZhv7s9kqFkbxrGLUopCbn4DqOga5YkLXjZ0lhCKbJXVx3+/H1yDOjj27axPba7oGiL1ep3+/5KRhXQWljnjW9QzULS+LXgjCXXSoyFohLD7pqSC1PJqPAK73a47gLtW3kjn0bBnDZL2vVadLS2R7etwIaONLVaJZpuXEMsiVe3r2VKoS1dvyYJsI/GLbHeYwrkJFrWqjRxukOlic1ww65+h3EtuVq8b7BNL5fQHFgue7T1tCR2+zumGKlA9T22X9H2a3JKzIc9h90GpYs0QkKg7zuMthQsfbugkNntbmX0HwNp3ovytRQJgDlHqpV5GiDuqDkKO71ZcZgT090Nvglsd7c05gh/UpV5t8VpxbJdcMiwO2zRNWF9i/drlHWgLc1iiSqVUmEMO3JM1HqQCU8j4pesNUYZUbv2K7xvcE72pjknpnGQCpuu6ALzZsM83BLCIFO0mnB+jTKGuL3BaiUEupIoUyDWPeSK7TqKakjjwDweBA5yuCKlAa21bA6UkXWGKlIJbXps21Gq5jAcCOFASQGrZf9ccqQaJ1rZoafxPU2/pOTIPFzTt5oyV+YKYVhw7+INmv6UUNaM4ySHhik0xuKaluQN86RJ045F03Hx+AG4FmeNALmURtXKYZoI0xv41jEeDozzQAoDhsLu7o7t3S1td8LF/Uc4t2KcEjVPKF1prOdsdYo2hXdON5Tb73jx7TPMxZI//eA91M3As+3My+tb/vaTX/PBB+9wfX0FqbLbbplTZjdOhJI5uX/K9mqD6x0/fv8Ji27B4W7H4uIBH378Mep6x8//7Vf86MkbfPYysGlaPvr+h/zsex/AsOHNd9/i4deveHx5wfPrG37w1gNOT9d88+V3fDvuCKNMbVWTmUPErS4hDoxXI936BK/gdjfj+wXLaiFVUpEa9W6742a35bA/ME57XGN5eO+MKQw4sly4fEdMmcY1GNdidSWkSK2VNBwYgkiSvNPYZWE3H3j05gXnixPUcWrolz2tdaRpQGlFmkbCHLh9ueXLzz7nRs2c3jvn0UlP2mUuTpZ88rW4P6I2LM7Pub++pHUWQ0FTmYeRlDOHzY67uwPffvsK8zBx9ewp9qGjaXsa74mbDWE8YDghzTM6ZbrWCFmxFJk85kycEykkXj59wd3+lmEKcNHw0VvvEDYD5e2OP/rJH/Bg/QhnWwyWOEfmOJNTIs+BX/7iU/71p7/iEH/PsfzZyTk1Sze7kinjRGsts6qUKlCMKUasFd/ykCsKQ9cJyrMWGGNkv7umMUImq1VCWU3XsVydymE2D6xPTsn5KJygkHPBKU3jDL7xONNRlJO3yRppmp7tOBDGLXGUPcp23FNiAg3CyqsM00TNN6AlrHd2+lDeiNueqShUmGhiT2M1EU2YR6iFHAtjCqgUsdqQohOYgtLEnJnDROs9vuk5Wy+xrmE/jsdVRMYo6ZyerJ8I67xCKpXdzRXbw5YU9qSww6rCen1G1Q5nPI31jMOeebjj+nDHt09HDrPczpzvsFYz7LcSdtIeMKAiaEtFMItNk+naNb5bcwgDJU/Y1Tkk8SenlAlKMeYNzvdoe9w7GmiaDlZnGKw8ZGuGUsTCRUEpwQoXjJjFaiXOg2g560zZyyUF67nbbShplqaCERhIqpb+5IJUIYcA9piJCBMxTpQoHXJvDFZbYg5QJkxSYgsrghPONZNywqrKsl8KdyBnckqUMuGVZbE+wxlNIXF7c3VM7Eq8rVuciYxomiSlryu6bQlJkcIsDHQkOBVTFHaDa3Ftj1aSZYgpsLt+iTWGVDPVelLJDPstWhXSIaO1YrVYEavCaMX52SUaQyqV0Urdq7Ed1hjG/S3OKO5dPKRyH7Q7su8dJYrLvYSJuSaq0VxtdnDMa2il2I8TCgghUMpMPdyg1Uuc62VFkSPWygSrKiN6YgQ60lmDUp6UM33bkWIilUQOUfTBSrgTjbFUe0LRVqiOyuD8AnWsN3rckflwQJkCriHnRMoT5TBjEvSN5EwWiyXenHI4bCh55vTemxRtwEjVK6dAPYYGC5VcAtu7K5RyaOMoShHTyBwllKualfAGykzVjhi2bDZXdJ2jaTUhZ7rujN+WLr979VxeAERgS0FjrTtGEgQYMu03UBPbbeWbZ5+htWexXNIo6NuWZnUm38F5YjhEuv6MbrHiZvcZt7ffkMOBuUQW63t0diYoi/UNRSuGQcQpxlref/cdztLA86+/YOodP/3RD9Cbkc+ev+JmTpxeNPzJTx7y/XcfYsqKr795yf/lv//nvB5Gpmni4Zv3effBPT6ZEo/fueS/+oc/Ynh+y7/961v+/n/29/HDxD//Z/+Sr17c8r/6i59Rd2/y6eeZB/fPoEYevfsef/vzL7l/ecHLb57x7379CSl9yH/2J3/Al7/5mm2QbNTJ6ZouK17e7rnLjou+I6Zrbq5e8ujiEt90XF8/43aO5JSJVIwR9km77snOoGOPcbBsDHac0cYSS+Hq+pqsPVlVDvs9WM2i7dFHdgpaw2HP1XDD48UpP/7gEWerBbUoVLHMyrBqVpQQiNPANAfSOHK3uePrb74jLDM//dEPeLx6wN2zG/7m85/zq1//LXMK9GcLPvzgDS5WHavWoXIViqPWUGB3t+X62Q3f3FzTP1rzxr1zXvz6l9y8eMGTd77Hxb37DLevsa3Bu46w2TKHW7zLqFQJc5Sqaqnsbjbc3m349a8/pXnQ8MHHH3L/5JK8mbj7ZseDNy2PTx9hqoOsSXGW4HHKDHcHvvzkO/7615+xm0eyLr/f4X53e4t3irkUtrev0bXg2x5lDVPIVBQJeQPPUfaZ1mhKTqScUFqz9B2Lfo31raBHS6LTjrZbCAhE2F+EFNmPB5hG1qs1VSmmPHO4GzkMX9IpB1pIaQolQhKtQFkw8vZ+sr6HUnIooTRaK4E7zOGIyjWUKg+JKUUohcZI5UfmFIJK1FXjFi3Y9vgAU1hnpCpkRJUKglNNuZBqZp5nYphRZFrnyAWG/R2vnn9JjCOmFJbrS7rFmpNek5uOedZHSMKeEEap2yHGPemBi4BCaUOlMo631GkPFJR1+EaqXtY6FqsFIYMuYFuHdYmaDyycxbTy5lfySNsI5x8l6XLX9KA1OQYcwkBWXqQ3YZzQqv6u+kSasN2ScdhT80wtgXGSf5/HvaxT2jUoRwk3KBLad4BHG03FSmVo+4qqqvSHkyUri/Etzi3QthWmeM4oHUVcoySh3ziD1QqVE14pKFnaGzmj4kDNgtDNSmNUIo5bQY7WBMbS9l6QubWQp/3xczseu+CthDuPO9h5fwd5ZKqifEUZirMov4RqGRXYdoHxraTRS0VRJGS5XEt4b7chhQPT3bOjTe1ALlnCNqZBKaTZXyve9ceLo6SJVZpp255hqGgjNrZxfwVppF9d0C4ec3KxJFeIBdnfThsB2SglhK/2FG07qjJkrSQAa508KAsUbVAomq4V6I3R6ApTCBIKNQpdA3GcxQJY1bE65jBaKILUxMI7TNtJXbZU5nFinGdy2FMOAedbOrcgqoZaMsNhZj4MbJs7dJkkKd+voWZUBqs0q+UK47xkNXIWJKn3qJqY5/mI9I2kOTKHSKxymVda4D0pBObxFkUhZQXa4m3PNE5oA8b3LBcruqaTgCOZHCcqShoO3rJcLJkXYrbUujCHQo6VUhKHMrONEysyznhpDOA5bG/Yb28J+UB1hkqHUT2har588Rp73Bp2VrHd3ApXXXtWdk/pWvSq58c/+B5+znz74jXP94Kt/gd//yd8fH+NunvN829+w1evxVh4s7vjnQ/fIx72fPr1c7q+43zZMl9t+fWvv+TFFBl3W15qw+VbD/nD9z9g+/qG08t7/GfvvM3lgzVn5/fQw8Qv/+qXvMoDz17f8P4PPmCaC7/58jnPbjboRcP90xMWyx5vHblW9gEWQKpwdnrJYTsxNfe4/8Y5Z0VgXdSKOcK0NMeXnBjJQHv9lZgOjceu73GhLoR7oCunp2dCDkVaQLUK46FfL3jnnTV//wenPOoUJk7kktne3uLffAddCsM4MewP3N3est1vyLry5o/f4uHlA5piSNuBMBy4urrj6rBDN4p33nvEo8dvs1qeUQ+BWBOqZIbtwBe//opt2rNXgR/80fe5XN0jT4Yh7DmMe3a3r0jDjjLeMoaBe/2SfBCaqFaKGhMpTozTRI2Z7759xrbsee9P3+bxo0ecL+8Rd4nr/ZZQK6d9TxoC0YihdB4OjNPI7es9r17c8utPvuaXX39BJuHMf/wI/08e7rUmyJpl29E8eIM4iSd6CjNtiTRtzz5VqvfMpkq8v2TIhXN3iraOrmkpWVGUOyaSE1VrDuNO3pKVpmqFUoqu7VCuAaNJWdKSTlkW/ZqqhVJllEZpRa2Vmgohzqg5UmxChSD/f9oxHbGv47jHloRtOrzr5HBXVbq7qlJSFsmLa9FKobUigzwxjz2aIUXCNNB1HdoJfjLPo6hGtfDUtXV4p8hV9pAxJoG89GvCZNjvbjjcPWP7+itCGFGlHA+4TD12qn+HQwXpczedjDfHLaQZpQzWO8pxBBVKgTpQEhgVmQtobbDFEcPMvLtF21YOJ9sIC18pqaI1HYqGYfdSxr/Wo0rE6IJpTlD+nKwqqRTK4Y40bLEkht1LcpaKl6hMO6peoroGpQo5JVSe5QBwx8CZNgLUUTIdcb3QAUuKWOtQtpHx9LQX0Yy2AhVxFqs9Ywy/g8xoa3DGiwylJmI1xDgwDBu0aTHtAq3s8W9pQUv3X5Ukgc1aSNPIHA8Cg2kXKOT3FnIkhYFcEiVngedoQ543qJwZVQUt1jNtCqVdo1SHtl4ChL5nHnfMu1tyzcR5JOcZ41vJDTQrvOnkIEiJkmdynlElyGVYGbnU1UwtmWnakqsixUF+dtNQteEwHojxa4HUaE01FqWsfPdKlfBdt0JbT8zy+W6aTvgBWpNTRCvQuhDGAa84qlkjxlgqhkghRhkBlgrWyec6lYpOgSnNUqkrke1mwCnoGrHu1QI6z4SwJ4c9eawyliwyAaxFREBz47G+wzdrSg5YbdGqMO62HPa3aOPwxmCMQztFU1qMMbRWMcQkoVl1pMIZKxeWGqU61Ticv3d0YDiM77BV4fKM9yKVqnFC1YGSi4Rrj+CdRGGhz2hbaVSILyOTc2KYEyFMtEZWAU3b0TcLsB7tGsiK9mRPmO5IaRD9cBxl+pkrJc2EacsYC1nL80jlwOFwTXGPeP+dd9HDwM3tjp//4jPu2hVtv+B8YZi2O15/95J/8a8/4de3geI973//A37wgx/w3edf892LF0LQ3A189d0N7nzNDx9d0C6WvLla8cv/z7/mrb/357z46jvqes160XP/7JQmZb751d8yKfj4h9/n5vVf83/+P/0f+P/+s3/Brz79kmw1Z4sOUxXONsQhoo0ixMjVODCExNX1hu6t++ymxEEPtL6lsR6qsNSVdTJVigVlDUsKpB3RKIxr0P0Ja38uGHOFIINTIZIpJeGURhlN31k+fsNw2TjyfkM83HHYDdzFxPlloo7X7A97tnd3vLh9TX+25Ic/+iGdslAUZRK16m43crU9MKbE9376Nj/88UesTh7hsYzzjsM8MNztudvt2JqRi/cu+dHlfU7bE+IEyRjcYs3KGpz3tIueu7sXKNfQdyvmaUPjHWkeCPOB/e2eq5sbYp6Yfebhk/u89fBtOr9CTZVxOLC73VObwhsPzwX6UybinDhs9ozDxFdffcfYFn70Zx/xySdfc/ebLWePL3+/w/3w+imT1hymkc1hS1HHLnkvqfMwJ3IGamZ/2BHnIze5Fm6P+EulLNY4IU0ZS6stql8RayWgMNZhmwbQOKVkd65kf9jaDnt8gIVSySkSxi1hipScqAqM8zi/pDva6kpNxJhpjUe1S9are2ggK+RDVsE4LejOUtBHIx+I4nY3DuR5QFt/fLu1tN5QrSanRIwbyeuZY/p8HgWhWio17KEmJmCcA/vhjhxmjDFUpRmVFWuXW4jzWSGB81KgBMkQKItzDW2/wvieaZ6wC4/KAu1pup5cINejinfVc73d4pXidLXmerOhKJj3B6qxAvfx7XEnybF3rag5st+NoByYTlLv84D1njRd0TaTHFYhHPMAlVQkdY49QdtWBiklkcNIna5+x4uuR9pfKjPWd3TLS7Ky5BLFp60s1IL2UOJM2N9IvQOFtwbnG0LVxHnG6EItBWUM1rUUKiGOYgGbNkcAm8hltFPCcvdL6TqniKKQY6KkHdN2j6kR45cY7Sg5k8YtJcpDWCkl3vM0UWugFhl5KQRiJAg66ROnVIjjBGXAGoU+WKzvaFYP8P2KkAvWLyklHi8LlVIjlFnwuk5jaoOOGqNatNeARwjGmqpENZxzwDQnuO5EbGs5Mh1ekfKBkkQ8pHJBO/nZtdMCeimJnMU5kMJEmgdSDqgURH6SJmJNR5SvoJUzgmlufU/TneL9guwbMeZpRCNLJOdMTZkwbyhxCyVSnSJnTU4z6bhGKrVQcz5eWI5EQWVkBVSrZEfizHzYQMlHPPQS7XuybqhYdJnxuuAtsFgxVIVvl+jjhUNXTYiZGCdCnKnGgG4FMHxsE+QwUVM+Nmz2xPkOaxV900kTYrHCNz3t8p5cloDWNRRjqGFCowSu1TpWCy1NGK3xjadvOhyanDM5z+Kzr4boV4RZC8q4LEi1St/fgmdm2B/Yj4FcK6ruOTvvePDgHi5nrl5f89VXL/j8+o57T9aE/Za23uPpF0/58uaOt/7gXQ5//QXPo+f++QV3r+8wxhL3B1KaSfYeP/iDD2juttw0J9zvF3zx81/RPjjjdL3iputZnZ3RtoZ157h5+R2ffvkN60f3uNe1vPv+Y26vrnnznTfotOarr75BNy2Xj+7jteWbb59KpVglVJ4YxplxyrzYOfrzB5Q5EeZIjlvQksWqR06DKN0VedjAfAfaYJslzp+StAS3a5Vdt1WZxvVySB1DtF2Tudcb1O6aw+tnbF6+5PntNerJOyynQCZxt7kmmML3/uBHtNrR2x6XMof9nnkcGaaRZ6/3fHN9i2odf/hnP+LDJx/gVc/+dsP+7oa7w44QEpOP/PE//GNOmxPKlAlzZj+MvPnjP6BsAldXL7j3xlssm56br7/EnqxofEeot8R5FpTs1Ws2h1uSh9PLFR88foMTv0JjKKEQpsB+N7DZ7ljca3CqkuJMHic2NxteXW9haXjnDx9x//5D8q3hzcvH/Orl1/zv/4//9e93uJt7j8kpszrX3HNSh+tcj7NOHMfAdhIVZnc6U0qlKvkiWOWAcgxeRQmg5Iyknis5RtI849HEMhALaFWxyqBnsccpY+l8gzmGs6bpwDhsMRga19AvlmjXUPIxbZ8TnfdMVjHtNpgSmZIY2ZQx5JxoNPLWWI7PaiADIUZUEna101aCgsjBm1I5PtCC9K61EMZub16SDjfyNlI5HgASGFRGYxenNOv2KGw5vtVW6SRrK3SxkiqmCJax7Za4dkHfLdDGcQiFblEgR6yqoDQXixbd9BQKm2FkMwlucd039KsVY1QcphHtFlTT4psFpvGUmLGmwbqe5bJDO89+jIRhR562xPkAaToebDLi9EphbUOiHt+SiuwLiwYySmuU6dC5wOIRRYGzHuc62U83Hf1qjdaWFCIpJTENUqHCsN+Q5omqLL5tWTiPKpV5nojDnez4NRjt0NaRaiHlKkHBmkFZqlFChZIyphycR/+50ZKhyHEmTjvIM/mIndXM8s9Zs+QVsozhitKS4FegK/IhqRVUkRwJkhvRrqPaVi5KqghBUDXUcSIlsNbSNUtCcqhawDsKHaom+q5nOoprwhyJ8YBTFu97LJowHTCqYtyCak5ZtCuUcQzjQQxktZDT8WetCaUyNh9bBXmm5gnjGrrlBbiF7OwrEkxSSQ5Y26MwKGWP38+IOqpQx3lmCi9lWsSxE5+jrFmMQWsJP3mtmLVCqxbvW5q2lbf+mlEVcpTmi7zNzxSpmZCSBD1JEzWNgvhRlpCh6AJhlnH9vCGnPYMyslYZFjT9EjttRevqF5Qsqw2qxtgGtKOEAW0KuUAoWUKE4Zb58JwUJ2opaK0ZUXLBvjaibDWWxfIU49fcao91HqUsKVeoBxQZYw1d26NrZm48LNYs2hZiBK1oXAdYDnFGWU9N0h5SJeOAxhTIFhYO7SJ5GugWPf/wZ09Ylg23L17y9JtnHHzPP/qLn/Jv/+Wv2Q9b0uFAMJU//rs/Rb3e86v9JyStuXd6xr/+l/+O11vJY5ycLfmDH77FpYJPb3a0H73D6xfPWb1xyYe9x5cijggF69WKcNiim4bar3ijX1HmmcuHFzx69JBPX1wzFPjH/+VfMM0T687z8rtbvn76jIuzDpsDh+2B/TTz2be3PDq36F7RLJZYH4FegsOlop2WC15RGDLmkJhqwTYNplkQswQiyxxIeSbMA+M8S+4nBarTdMs1Fw887RjY3XzDcPOap7fX2IsVT959B1NhSonFg3s8XK25PDkn7AeYZ1IM1BjY320JRdYyvl/Rr1as1xdYtyKNgd3dhrvbK27GHW999CGr5YKL1QVm1gKj2e8ZhpkpRB4+fkLTLUjzgf32QCZwsn6DNEyM44Z52LLb3/F6e4VZO9794D3WZiGwGxriPDCNs3DrbzZ8d3XF5Q+WqDGyG2/Y3W7ZTHv0meftdx5y3p+jsby83fLdsxe8/eF7/OP//B/+fod730p1qD1yzeeqyCUTxkl2KEqK+J1riEm60NYYUlGyC5xHFArvFhRnIU44ZIcyJ4X2QqyKxyQhpRAAZx1aW6ndVEWpBmMsrqkslHwwFeookonEkKS/moKYmbD45YohBOZ5gpS4d3Yf068ZZsHMJlVRpZJLOfrCK23bo5WW9DDydu+dpxqFqxWn1xjl2IeBeXPL6ekF/tHb5ApGK9Jx9NxYg7cNoQApEaNAJzBaQnfTnpKC7BNToXGabrmQMaBt0dajlKKvUEoh1UIJEurKShExx4BXh6oDxmaSgptDRfsTFmZNNWtIM51vpHPZyLJPKUPOSlYcUR6i1bboxQNUzXjvjjQyh2s6nBERRSzCVC9V1geVfPz9Z5b9Ce1iRa2gjzUiMNSaCcOeaXeDroV0PCjT8UDBGGy3RNdCTDPT4RU1Ho5ktSOqskDMexSVqioK6cVLz17+93xzTrM4RbtGOAM1C41OO0qBlCpucZ8S99SaZeecoxy6GLHkqQaMk2yIkkyHMZ4UJ1LcQU7CbXet5ESOjQ35rypKDriiSBSSBqs6hv2twCraNa1vMN6RiyakIm+L1ohMpArrvxgjClgMaRbZhKoN+wlpR+SZoiraeoxZy6oDTVWFUuRnLspQ0ZScycMWv2hofEfJCWU72kYMdfrIHojzRC4R1DFAREaXiRT2UJ0YGI/dcFUrRfA6QMYi648QJ2xMjGJeP7oEFF1jqLkyh5laI7XIBKGECWmsGpmQ6YZqWhRWVm4lAhXbrTCsJaBpGmy/pO1PsVYuG/N07PkrQymaVAMpzczjlhKl/6s1EvykoLRHN0u5XOaRXAbICWIgzQOowjDtce0K35wcf74F2snvK5WEDpnt7XdAxhnHtRVDmypRLnT9Ct92dIslru1osuyZa1XMccSUCNrTeI3SmaEolqsV7y4yh5fP+PKrrwinK/7sB9/j27/5Fb/56hnn75xz8vCMDx4/Im0n/vrLF3yzG3m5u2KxWLCfBrSCxcmSn/70HZ4se7784jn57D4PHjzkfNXz4q9/wW6cCW5PqpWiFNpp+vNzzlYL/un//X/gwdtP+Ozzz3n3J+/zN//yL7m622G940IZvr3ZM6eGVy+vePrqinffeA9TZ15ttszdinT/fa6GxLJOIiWaJ+I80HlhKWjvaZuWmjKajI4HrJXJbXULxuFASpFxntjMg3zu0CyXa9p+hUK+HxdNQm1fEsY9t+PMvffe4Mkbj1EYXmxvac5Pubx3n1XbitGtREiBcXfHhJg/P//5l3wzJC4ePGD18imd68mz4jBsuLm9wt9b8+PL9+m7tUyAp8I8jpKW397hmiUvfv1L6ruJh4/eJN3Bt1/8nH3Yc6IU8zRx/fKK7eYFs51558cfsm6X9P0KQkGXSo6BFMQ4d7i54+lXz/j0qy9w99+gnWbSXLibdrz38Vs8vvcQr5aUZBm2B7bbLQH43/7X/zveuvfo9zvcrREpyX7cHQ1SMi4xx3G1MY0EVpIE6GJJ6IjIAqzFt41YvUplGgdyDMwlyb5ZC2TEaE/rEZSiUqQQsGiUsbKPBWqZSWi5BFDwxkvwJWVKktGp1QalHK61GNcSQmDKQoozbcdmHLDzzLJpcO0KY0XCIpznQsqJRmuMNtgjz/y3pLqMQBg4BjuWvmP5+D0J/GgDSBJaGTEfeaXJBQ6HAxnFuutxrqWxlqw1c4rEXEiT+MT75viQDFLJmMc9qhS0NaQif6QUZlHcaM8UAvPhFusaihKsqDFW8grHC4Gr+RjGk7fXEOQBoK3UCmOKpHDAmMpqdY5t1sL6VpBKIYVKY8S+51uhmQkIJuJURWtPClBSYJ42DMNrCbQtTvHtGmVacikMUyIXT8wBhbw1KPQRsjJRqKiqZC/aXWAWF8ddeUcthVxmyQRUYZVrbY+6Ug+10rQtq8Up2prjW7scWAapy1nj2BtDGg9gOqxvJaCYIzkG+Z2qKvz8HCllRNsO3zQU5fDO0CSNqYmaE65dMMYk7m7ryXEmpABaY12PMg26WaC0QgEpBkqciTGgSs/i5IKqjayscsFUGXGrkoS9bxw0Pdo6NJliDKbpZNKkIOREnGZqDmhjZbJUIjVnjNKCkS1KTIha+OsxTWhl6NqFdOKto6QgaN+uA708Xs4z1sj3V8bdiZojKU1i5lLguiXONlgjACMVJkzmSJIvqBzxRkNVJOVoFitMKzrdWgJxnpnHI2jqeDArJc+SqrUEckugVhnrl5wEmlQVNRSKPVCVFwzxckVOlZQzOmV0SrgjpCrlU6iFmKIM1HJGVdFxqjxSc0AZhW4WsgY5Hv7KrzDdQmx7pVBqIAwjJRfqvJUdslGgHZPyKFvoOyNTMSPVWeV7VHGyMkKjAWs1C7sgxj3DbkM+4rm71vH+ZY873PLy5StW7zziw/c+JDy/4jeffst1jPyXf/envPvoEelu4LunL/mbL58zKc3F2ZovPv2U68PMW2+9waPzJT9++yHzZuBv/vYr7v+k5cfe8uI3X/Cbl694+0c/4/lXL1jdf8APvv8Ojy5W9FaR9nuuX19xF2eurm65d7snzTM5VX7xV39Ft/SU1nN+1nC3m8nAZjPxvNnz7GZD//GPOLv8EK3k0nUYtvKMSzP7QZDjWRVWC7nktkZh0h6rZWJTlxe0/hxdYVUiyxhEF2U8VkuI1gGty5zm54TNNYf5wOrNS9549JBW99wMhfWD+9w7P6NRBl0yNSdImXmcOQyR3X7i26evuJ1HrPJcv3xFioEvvvia9x8/Zj4MLC5Puf/wHivbSFi3FEKI7Lcb5hSZpoxVBW8mbr/7Cm0t984vwYmG2jrhjahG01ysuDi55OLsAlsVVml044hhIsSReQqM2wPXVzs++c0XXB9u2G4XdKpyennCDy8+4OzsAa1ZUJMiTJlhJ+u0P/9f/wP+wd/7u0zPr2D14H/64b50joImmUpjxU2tlAHEaobidyPSVduB8fLGWhGzW4qiwCuFojKyqrIYY2iMx/z2j4eYzJRxlIUm54IFjNLsxj0lZYwCHWZ5wAUJsumqpFetHRmOu83C5rAlTTt67+n8Cu9acJ2AcXIiRUnbWqWkQ180VVdCTugQGIaB+Si3WbRL2kYsW8M8Eec9jXM4bbBtS1WGNE20jQdjqQrGqnEY+qbB2O6oMC2UNJNSpsSZlAIhBqiF691EqlWkKVo83M5b1HHEHsY9uQSMMcfVhqFqaQ8s1/coRhSTcw6Seq4G7/vfvbnYVU+v74MyKIQvngo4xZGfnX839p9jhKrQSmx7MSXyIEz+WCJFVWGnZ3mhsu32AAEAAElEQVRwkgukAOmA0obWjmjfYy1YnWlsZcZgaGl8K2jJecK2Fzjvsa4l5yLUP7RY7YqgSlHSEVVVUqHaWoyMbbDaoYzBGSEahhAI+4HWataLnqlqhmFGG8Xp2SVxccoUJlRNAk5qepQxqFpxXiYuOYx4MiHIWK1VCr84Q7UrClJljGGi6oxWHus9y5Oe1ig0AlSpBoYpEcOMUVo45rZBO0+xnpSCWN6yhMoCMIw7rErkouRvEyTB3zqPNj01DLJD1gZVYLlYkMuSUjOrRUPTttwNgn2tKcmhlAWUUY2TMJPRNMeQU8mFKUdSjMQw4a1lsV7KiDvLG2gt0FQZW6eYySnIG7s6inBSwPgO5U7IBby3OC9cixwm2fmXTMHhW4ejHGFCEdNGYkzCKqiQUqTkiFay/nB+gVGieS4Uco3HiZphSoWsxPPdtj3ayQUsxAgmoZ2Ti87xQmiQ5sG8vxHOQRyEmtidY5oebRq0bXDNglohJGi8xSh9FBsZckqEcU8yssLx7TmmWaC1oeSA0YVGflHE/Za4u6XWgqoFwXpVEdtUyEozjwdKnOl6z3K14MJcMu9uWD+64L0PPiJf7fn8+TU3puPxO4/5ydtvULYjX/3mc/7yV9/yr371lHa5IBFBae5dXtB7R9dA3hz4q29fs9eK/PqOq93E4o0n/PkPv4elIxfNmx+8zYlNxN0V12Pg6psXvL66Zd0qbg87nr98weX5OQ/WJ/x8nnnr4/eZh4Ea4emz5xireL3Zst0feHq95f3Tc3aHgWme8EbL27kTRspvmwSZwjzOxBjRbYOPEo7OridEkXUZI40Oo6QG65SRF0BrMFRWvlCGHZOFN977iEXb4d2SMIzQd1xeXLA08uJSU2UcRqZpZPPyhl/+6guuxz2hFuap8PV3d3z93dcMw45XL55xddjx/ttPOFssWXhPDYkaM3GWsOthO3BzteX1IfHeT95FHwJxGLj+5lNIkd0wkLWh7XvyNtOtF1wsemxVtNqLVyEUYh5IMZKmxLgd+OqTp/z800/57Oop6qTiFpYHb4scpncrGrcUeE2OUAXYNBn483/yFzRD4vU3n/P4ox/+Tz/c55ixRqQPTluqVvLGS5X0NRVTDZoCyjDOM3Ee8b6h1srt1XPG/S2ta1idnNH1S/YhcntzhUpFgjpG7FB9tyRNA1o7jHMoowAno5y2IZdC5+0Rk6pRjadURU1RXOYxEg4HHIqzxQl6fYY2v1UgCpWsbRoKSDCuFrGEHWlB5TiuTchBY20D2jBm+WJr43DO0LUnoOUBkmJGq0zXNEdhisU5QQ/GUog5st3dYY6p82mamMOIc5bGCW4zpoJ2LYSZioy/G9fQeoHdOBzWL0BXrLagYDjsZD/Y9TTdUtYgU8VgMNYSTcYg+k+0Pypp1VEWIwpBUkIpDSn+ju+fcmEeDwK9SZESdtQ8H99GBW0rWGBw1rLsljS+ORrOonD5cybs9wx6JJdK27SsugVt05FTZpz2lBLpjT0GDRXWO5wTopjRRqYaWeplMWUWTUfXdaQs+tXGG7q2ZZgDu2Fg2txQjaPplmStiTnJZas1xNlSrEZVzenJ/aOsRC5P1EoKI7vtLeP+hhgnag7MYUK5nkPO2GnGNCuaVt5Yne9QBUnIti3jbsNNnGWqUBWlBJxtWZ9cyGerSBBNWh0js9GMFMJ0wCtIVbjUy4Vn2t0K99q1oBy7ENC+lRtaNZI9MA6jFbVGvGvQc89tLuSa0bajHEVNpQi+uO16bDY0jWflWmIaqDGjc6XXitp6UlEwzbJ3V5UaK03TSnCMLL3xOMt3UjtA2hbGaBzidgjzyDDcYVPAtiuMc9RcSSWKSc82VMAXxTTNME+kIM4JZQRdXfIsuQHVoo2iaI2qCm8lcKt9y6LtMM6irSOjccZhtaIpRdZovpWDNWdimBinA0qtWJ5ciq89Bkq1KCs2x9/y5/WxhbPWBmccWkmGK5WA0QrO7gu3v1ZKktqvVpGsC1oLZz+miTAWYpBLpVZK2BS+w7QrsfflGdc0zBr2w0iKE9M20rzXcv/iEXk38+UXX/D17YGHb7+H37yk3m754ouv+asvnvF0NzKmhA4T3hps17LoWuKwY2dmth+8w5/8+Z9y8/wZ7p2f8PDxQzoj4WarNX/8s+/ROAcqU2sl+pmvvv63RK3YbvbshpFnT7/j9XfPGXcHppp4+fol7334IV117KdRfBXA7W4PizMevv8Tzvv7lBrl+WxEGGSqZI8UiEr6XC5s6nAjazHrMWePcc3iuJbNMu2bA3Oaab1H5SSPrhDoHnjs2vLo8l3OVmdHEBhMRXH68JJWG6iFmhLjOLK72/Dq+UueP3vJcGJ483vvcuJ6rr684/pVZNwPFDLeQbdsuFydyoEYs9S5SyXGmf12z/Z64Fe//op43vNh3/Hmmx/y+usvCGFm8+xr7q6/I60FZFbdRNt5OluPYd5ESoKbnccDKQW2r/a8eHnF880t6zfWPJ4usG94fvjxxzw+vc96cU/UtFMU7HsuhGlmO0bO3nqLt++/wdOf/wrdu//o+f2fDtR1a4yWhKNVAq2oyM5cEsTCyC2lEOaJkgKJxGF3yxxnnIXT+49ou56CZrffcwiir8zIyDKHGWcbBj2JfMF7VEkM48x+c0cpiRIjWmuygt5Zzs4uMFUz5kCOkbvDnu3tDWUaoFSW63PadsFqfYLxnv08UUJC5YRxLV23wClJtKuUKErjVEMpGW8bGuNQzlJqIRUwJUqgL8yM08y4v6bGiTkXnG9ouo5Vv0BNFZvlcnK92xAOWzmsYmC320DN9H2PLo7NcMBri+0WtK6BphNzlvXoqjBYnFU421JKAWvJSUZN3h/xqwVMysQqs3ulDDEn9vsb4rxh2fWs1o9AN+Sq5a0KTTbCAjhME7VEjBI0bKyVbCVFPsbD8f8vy89RocwjOU7i83aOVBT7NCOOV008mtysXwgf3MoqQtXCftgTS5BOt/dYo+TzNO8peSbWzHSsC1XTsDz2nLtWkvX77RZtLcvWYRUcths2+y3b7R2KzNm9B+QyM8+BXQFQlBw5W64llNN64rBlf3dNLYlEosaB7eZaKmQKfLOi6g63PKMaj6oZZ+WAyWFApRnrOjrX4XzLYXvHcPu1hO0olKpkfeEaStyQQiAXGefneBBxizleuHzHaCU7kcKBm92ePG8BRdIGpUVkZKqMqKsyJO3QxoNthDUxzmyGAYVkPvr2t4l/Ty0BeS2ecO05sSjubm+kd6sreZ5QvgHTYoqMrFPMxJRw3jNPI/txoJQqqXRVIBtUDrIzTBGMVFhrzjL2zpmsIA5XGFXRztH2JzTeUxEffckabzVeNYxKYFEuzZjG4ZtTSjHSjDCGYd5TY8V6T+N7imnQ1mBUwilYtA3WebRSTCGxGw7oGFBFan1aKS7P7tO4hlgLsSYM8rJiDNSYyGkSquYcmOeIdQ6VxOKXS0U7T9+v0EDJmoImx5lc5PKRcxXscKksj87xEASm5KzBWCf1ThKbITLnhPILvFviTgwnC88bTxrOThPTYWa83fHXP/+cT7cjh/lzfvLxA775/HOe7Qbe/cPvs/7yOZ9/eyW5ETTGGMb9jjzPmPaEH3z4mNM58FJ7fvDBu6wbEU6RCrevXmGMkZeL1qOo6Kp4/eIO07csu444v+Q3n33NEAL3Ls9preanf/LH/PTtN/nv/q//lN1+4OK0x+nKYZpZffg9Wm2IwzU5R+ZU0e7oZK+Z1ji8EfqlsRZvHN24oahMcT1++ZCaNKXKZLgxDaZpOZGdFsNhyzRNGFW53uxo373H6ekaVTNxHIi1YE7OaP0CXSGOA4f9nulwYHN3x+20Z/nhJT985w3WesXm22u+S3uGcWSOM0Ulzh8/4u1Hj6kpH8+0yrTdU4zh5tmG280Nz+9ueOdP3qVrT9i/fsW2X/Pk+z9k9+oFt8+fs9nc0q4v2b5+Qa+hsUAWNFKaE2GeSRRKhrvXG148f81V2PP4Rw9xO0g3gYc/fsybF2+L+hxPyZWUCnMYiVNmuxl5tZv42U/e5dtPvsBdrnnzyVu/3+He6oZQCylFdmFDngOZgrEObx2LI7J0mgfQBtc0qNpgbcdFI87oXAtjGOWtwHo6pQjzQFcVfnnKbhpwpWAMTGHPPg6M05YwHiRs1ncsToSi1rU9rfOEJNrWcZoYhwPbzR2myqgVVQlllLHHdKDTHtcu8H0nATDtmHc7tDMs+wVDUDRRKkCRgtDrNTlWeSiXTKqKkAI1B3lr7Re07gLVdHTeo2vBKkU1hloVisJ6sSY1ImTJYWKxOifWRJ4OoA3r5Zq+P4Ej2MGVJKPhLL8f7STXMIdAKVU+KMZhm5ZuuQQqOVcIMypGDtMkby5dh1ucoZoe1y4I6gjYqFlCUVrjtcVow8niRFYVJVGmkVoVi77FOU/W5pgqrsRyNI6Fmb71zGHkMGyp8yRqVGXQ1uEaQw4FLSkB5mnPbjdRjPiwndMYo0m5sp8yYbqjpFH281XR9QvaZY/zHdkYrPO41hPmid57ckqMux0JxdXmjhhnjDM0tiVlxTBNuGOLI5fExXrFOM+E/R3DYUOaZXVQTCMHetK49Vs0VkJotVZ5E/SS7M3TnnzUHMdcCHGCEojjDaVk5mlHDSM4gR3lLOPoNFYJev02cXes0lXToP0C1y5QVWOsYtjfQAxQQLmVJPerpP8FXiR1N2MbjLY07ZqshGxnNaCVHGTaMOUsF+x0g6oZ20qAJ1x9J0pWhQCGKBgtKy3vGvYbaXwoI9OqHA1929I3npCVTJRiJM9bvIHqBFlcrayrfOOZ4sxh2JDjIONsY7g4f4TXijgNmBpZLZZo1zHGRCiKxjjiDHGSKV5FUa3GNZLE7zuPq5pYEkpZvBfOA1mzu7vl5c0LTCP63RwT+JZMYponqhFZSzjcMYVEdJau68Q7kDOFRNs2VKXJGarxOGPo2iVhHpnmgRxnzha9KFWpMglpViSjmaKY97w3koJ3Dl1hng4sVhIUrKVgteCpF43l7Tc7lG2JRRPnSAiRx+eaH9zfk4aXXL94yZdPX7F89xF/XjL/zf/73zIdFuyW5/zhn/+MEzz//JNvUVUmWvfeeoMnDx/yi3/3cz766bv8oz/9Pn7Y8befPGPrT9C1MM2zrLG8OAV+88lnlBRllK0Kw27gV189ZT/tGDdbNtsNVWXe/uBtfvjuW/zmV59Sx4G/+lf/nn/x73/NnOUQvhsD+5h5/OQtEYDZhmZ5yto4akmARmvIOVNyxlcoGhqt0VuRNxXXs9/t5YKJYXN3w+ubV1xdv+Dk9JzWeg7ziOlavvdkzd/73n3ePO1IwwAxMu133GU4Wd9n3o3sp4HDdsf2cMPNzRWpNbz3kw94cvmQsD0wbAZefvuKoSi2w0gsict3LvnDP/oDFqYRidk0sXt9y832hsNm5Nu7W04erPneH33E2eKcqHsev/k9br59xs2r73jw8A28a/nlL/49eXvgsL/DLS2NllBryZk8Bm5eXTOGieffXVObgrto+IN3fsjaLnn+t69YPrrgB++9S+96DJYcAjEkQpzIobK92fP86pbLH32ImRK7wy3vf/QxZT/C/d/jcL/a3mBdi1Gaqjyub+mNpMljnCiISGO9OgPthMIVRmqMIgpxUEOAGMg5sd1vmOaB/X6LjhNWW5RtsZ3Y4HSuUMA6z+XZA5pWes21KhaN1IdubmUqMM4D4+6OAmhjaPslvlkLoKbE4w4XZuvYHe7g7gXWeJqmw7cLbNtixgO1FqxrqUZTrZVbuNJCFSrSF6aAMxbXdpQUmacBlSukxCHOx266lf1zyXhnibkSkqBSm8VScKoK9NmlpH+PWMP9NDKMAyVFnG+oytAac6yNZJwG5TRFVdK0J82ZISWByJSMwmKdpV+u6dsO5ywFYbRP48C0eU01mnme0SWgfcf5+oKT03NiTig0S9OhOtkhCngjEUMkzRO2yh7YKo0zGk+hbTvO+pWITUpmv70hpwBTlAqkBXRzRBEvyNaS5iAUu+mWOG7JGJrlBXp9jtYeZy3eeFarlcg/JgF/MB3QzjErzTwKanSaDijbsljek/VA40lzoHWNOL5roVJ48eoV6Co2wdU50bWENKF1d+SnKyxZ/qYl03mHMzAN1wy331FqQmuDMS05ZXKZGXOEXNFtc7TgKaH1Val5UquEQJUczNpYNA6sp1YBzCgqJY3keZa5ovbSttOgkFUFpQoT/ihBEmmNodREyYESJ6LSlCL7b+0lTGl9g6oF353ifC9kQV2pRVNKwtiIoVJSYRsmcgyQJ9Rx0qGOlcKd9dhmibEydVNaY5QilYxXXhC6OaNjIRyDbOuLN5jDfPQ6WO6mievNNbZkYhoBTetb+kWP9T0hRGqVS0opCapBVxHKzMqyC5P8UkqixigXVBJGO6rtcE7IgdiGXK1kc6yV/XnJWO9pu6PxMCe8LhQVUFWmj9M4oKi4tsVoR9M0qFzwWtO1LRlLYxVaZ6z2JJLQ++Isq6w0M+WK1pYwbmidjPPnMFLzjFMV10u99VBW1KrpvBKddS1QZ95qI+buJZvtLd9884yzdx7w4YMH/PP/xz+n1sr9Ny/5w59+zLI4Pvvl5/zNb75liBnfWt584yFnzvLg8Rn/s7/zMQ+d4+tPv+VX317z3p99QBwPbPZ3vNjs6FdLzs9O+Oj9t7i5uuaz16/55PPPefpqx/Wg2G2vwbRkCuuzFT/+yfe5bDs+OfwHVLfi20+f8/XLV/I3yIWruz2sTnn4wU9wTQdVEUNgDjv2w55CQhtL3y/wTtwOOlfmMOGmHaUosu5lTTLPhJA4hEA2isXFOft5IqpKu1qhNZwtPY+XBjscmO9uufr2JVf7Lfn+Q/rHCUNkt73m1YvnbOrM4/cf8eYbb7O2LaooKUUMA0ErlGuZ50BR8NFPvsd7D55ArEzTyN2r17x88Yx9HEkWnnz8gLcfPqHTC6ZDpK4stu15/wc/YX97zc3LZ+xeveYwT7z76Hus1gtciQybgaoiaQ7sr/Z8+/xLxjQxqcIH3/uAR2ePcNUQ95FUMif3ehZWAFkxzuQQmMfIEEf2t4FPPvuavDD8+NElvhjuv/kQmzOHmxt47/c43Ms8SJjEQKMk0KNVQ9QVjbiUQwZdFbFkSRynhDMOcmWYN4RJrGg5zeSc8b7h8sFjgXzUitMVfYS8NMZjrbCXY4iEGClFRoXXr54L8a5f4ten1LBkdXqBdx5rZJRdUbIr00L6KmhCnEmLU3LNqJzojKVbnBJioekakdHkTG+tVINSZo6JWKrs4kvFa4NyAq7AOTp/gkbGtenYL84pQ53xVrraC2tojOyRc8nsDnvyODLVAClgtGZOSbrvx597MoaiPLM2OKuJtUjASck+fJgGKJnGWQljVQUhYPuecV/Y5yQBM2OpWhOS7Hq9alidnLDb7ajzhuurPYe7l/TOoJuG7TChtDDzE7L/NCWyXKyZjYhZ5jDj+O1ucabkiXkaSYAzjqZdkdCk6YBSib47kTdBZYk5keNATYlMJVeD0YWlgRIGOXB0AwZ2d1cynms7ckkcUmE6HMSPnRKlRJxraZ3HG+nP78YJ5T2ZTN/1YC0JTanQIR77cZrR3h+79IGSA+M8sPSVZCpWTdgsdLT95o48DWLL05pQqxDNyjFJrhtqSCQt7GllLMqLQVEVuTCpClVbtJdJhEKjlJaL53HPjOnQOUIOZKUoeUYfGQAYB1iUazFNJw2RIiP8ON0Jec0rcg1Y32Ks0OdENqNJcaLkAFWokDkeLxJE8nzAKoVrRdtbjIbqpPNeixz0RpNKpsSDNEZCghzRtpGJiW2xzfJIl5QkmqHSKGi7nloy1S2gPyXlidZYEbukxG4aqcOtEPpKxbjfhiQ9Vjfsx52Q8Co0VuOaBvPbt+wU0YCzhjzPVJOpWtFYh/NLlJFAbs6BNGy427wmjBuMKRgjIKXF4hQH7IYd+yngnKVbrCl+geuWJCUXIZVG7vYTpUa6xrPsRDe9zzLJm4cDOU3sbp8z72+oWlNth9GGEvYYo1mermitZdGfEJqOVyGhisE6izJw7+1ThtuXXB0OvPN3fsqTruPlp1/zy2fX/IP/xd/lH/3pTzHDyItnL/lX/+4TfvHta0zb0Pct6/USO4y8+94bvP7uituYeX235+z77/Pnf/FHfPHv/wN3uy05Ju6urjHG4LVjeX7GZiq82iVeDpEpanS3IMUKVvPO997jxx9/wPzZU4Zh4vbFK/7yL/89u+EAqvL6bkeolR/9xT9msTqHGIi5UotwIJrGA3IxzaVKgNU1hBSwulDKRHKOsRi0a3FOYEs+Ze6rSzRIO6oWvDH0KvH+pcGOB26eP2Xz+gXPb68ZFdz/6F1ymokVxmlCrxf88L3vc69f4ZQnHGbCdsvm9obb6y3PX2+o/WMqiv50yZ/8nT+gxTLv9jz77lvGMBJ6xcXlIx7cu0/velQsTPuZu+0ghr+YKY3m5N4DTu9d8pu7vySMI+en56hYGaeBYdxQS2J3fcvzl69o77e89+bbPFg/wChN16yYNxP7/Y7tsOf0yQoVClMaKaEwDgPb2w3X2z3ZWt768WP61ZJV3+Fii7ICh0vK/EfP7//k4T7MO7z38qZiHElbhhQkNZ+kQz7HmcPulri/E0lIERa3OopMqhICFlVhnaNtl7giB4I2VjjPWgsYRxumlJl3e3nDKgFvLSfLMx7eu88YhApbyFQlQpN4GBjTlnmeME7oV63r0F40ryDSAWMcymSUcpSqaLQijQPxGJ67PmxxWqOVlg+a68lGC4ABjdFFDEW5UFUhVE2KEQH1yAe7qMKkjFQhSpF0eUyC3C3CvY65QE2/G3UKJU+hlUZ7Ty3jUQNrGIcdJQjFq/6WX64U4bf0MglAsN0ZtLIYK196XT3hcGAKUj+LwISRRD4FbSyjnXlVCzqL3KTmQAny5c0lo1JkryW4VKhgpOpRlZZEvpXK19J6aUBYQ50njPdou6QohcoTuUgrXmuorTzgRdtq2c2ZFA+omjDOSz2sVnnrMY7GLXHNUkJMVd4uvZWKXckZGo120DYyNrcqU1NhPmzIJTGHiV2Z6ZoWnSrTeGA33lLyCMaLG8AJtz/ME1ppcqmU6lD+DGW9TIZqQemKUlJ9VKYB16C1w9oWfUTogiSsU8kowBoxm5UYKCWTa6VtxZiWUoTjhTekeEx3J/ncao85tjucsdR6hCjlIHvg7lRIasqhGEhZmh01DoD05rXr5HuH1AGV81S9oNYItheBkFFo59A4UbQaK53wHMlpL7Uxa8i1gu2pWnwAGUOsCjsNwoioQA4SGlQVowqN91jTgmtRxmIQ3WxVDuOXAkBCYZ3FiIOKFAP73UZyAlSc0eSSmELFpIjSlqwyeR5RcSLNIwoJ/xnXUlCCPsginko5YpRmnmUaBQLKOrSvab3j7u6KMB+gVLRyOOvx7YKz+2/SLy7ISlLced4zzI5xv0M7T5gFYjIeDqQcqLanPV9SdCN8flOoYSlCItMwhJnd/luarmd9Ip+rGANPTpYs854hzrz1/Q+57JZsnj/n06+fsbeen370Ptzu+Obzr/jFFy/5H//2a4IxnDaexhrGu5HXt9f85PuXxOsdv3x9y8PH93jz8SWkmZQin37zko9+/DHfe/8Dbq9u8P2CP/uzP6Kxjn+y2/NP/7v/gRc3O3Sd+fTrF/zgx+/zwbtv8lg7/l+//oJBK/5v/+0/49PPvpIWi9HkVLj30cf0Jw+owwRtR9Ly96tHqZM1Fms0msowjmy2WyqVZZ1YpEioECqoONP6lkW/IIVIVlIhXXiPV4KLXXcDb7SJ4auvubp7xt1hR/PghLfefYeLh+9w2Iw8v9uyuDzhvct7nLY9TImSJ+I0chj23N7c8vTrK768Gnjr++9yslzD6hKvDIf9jvH1DS+vXuHvLfjBDz6mxdN1C2oshDASw4Be9pyf3aNGMWIqI9Xp6W5PbTznp/cp2xuGYcc8Hog5MpbM/Y8e8uDePRbLUzq1Iswj8TAx7A7styOb3Z5eWeZ5QhnD4XbHMA7cXG8pJ3Dx4IQn954w7DWb17es/Jr9NGL9Gbvr69/vcD85uyCFkTLPQCLGmTlMbPZ75hBkpzJNtG3D4uIhyrZoCvVoV7LGY12H0cJLL8oCCmcUSnfIO+sxeKJbtDI0urIoSexjSpHTzDAOjNs9VQO2IQwDKe6ppdC4Dtv32K7HKmh8g2t6DtMgpLNxlAeLczRdQ6Zwu9txOOxpVaXr1yiK7PKnxBD28vPFEWMMwzARpz3zEchjnFwaSpXxJcoK9pZKDPPxwS4P8ny0AFnf4rxDGcFlxiw7J6+SPMC9F/tXFaDOFCMxRCoK2y2wixNiyBj92+69YU4Fr4zgVrXGG4W2VvIR2xupOLmWru3E4a0t0zzifcdiKaz+3W6HOd62aylkzlG+I+UqKFOlmMKEMZrGS3e7Uo4yCKn+KKVIVcxi1SussqijUKcqg3JKktApkqJgWKsSOUtFOszWLcC1pDhjSsY3q+PvITGNd7RtJyGxqpmmvYTCjGG6PUiaP0worchGaGKSes/UNJJzYV8SzoJxHX51htL3yRjQDosi1Uh/4lFG2AclBWqu0jawcggpFNYolFbCeLCism1ti7WWkhLzPFESKNfKtEdbYgwkY4kxSWoZ2YuH3TXz/jW1FrAO36yETQ5oCo0uhFKO64AiD9YaaFpPTvL3SiWQc8V3ZyhtyGEhFyElPICaK1VBMRZrDMv1PXKpDIfNUZ2bsVr0rl3r0NoxD3tilTVDNQ7nF2jTYY4Y2loFdpNToKZICAdinGX6pIXDnrVhP2cUE8YIstZZqb0pY6na4tsFjTaYHDDHrrs2ivVqyTx7VBWwVC2ZErNglLXGu4aTyzeIubK5e8087RlTgFxIKaOUEM0UQVL8cSQXqVMa6+nXa1CafQi06zN06JkGkddkZUhFM97ekm8PKONoGvluuuLpmh7rO056xaIoxtNEmQ+klMm1yDMiSsCxOzmna+/jvYUs66u7w8DNIbFojTRbTCUebnn41hPO2p7d9TVfff2Cv/n8BWeP79PkwDefPeWf/eV/4Nb0JN/S60DNiXmGL75+Shx2nKwK7773Bv/44zepc2L14Jz97o53f/IjPvzjP+Pe6UqkX86yv7uB/Q16seTx2YrH6zUvX15zetLw7pP7/MG7b3J1s+Nvd1u+3ewp2vL82UtJbNcKVFzT4NZrvv7sF3z26X9gcXqfR0/elSYDit636BJxKEFfpyLfESImFkKauTsEdumO83PHJt5wdfOKrunp+zVWKQ7DwHR8KXjz3JNeP2O6/RbTex48esLjNx7R+jN225GoFO/88EP6tmGhPSXO5CJ8iRwD7aqjedXx9MUdXFzQNJ5l11P9mvurE/ZXN2zngQffe4uHl5dcnl5QB/HAz8PENI3c3G65//GPOF2cMk+RmCLeOGkE5MyTJ29hlOVuu2MOB6ZxT3Rw8fYDLs4u6E1DSYWSAyorhsPANIxcvbxmE/Y8mntuX7xm3D1jNx9oT1pOPjzhrUdvYeuCNFXS4cDXT1/x3ofvobzGUOmX3e/55r7ZYIym63rmHBhj5JAiSitWy5XwvBenVKCxnlQF5KKUQhnDGBMqbtGAOUJGnNJEpSj1AFXJl8IYAcSUKulXbdDKUG1D0lAwNM0CYzRzVpRjO4gUySlhtcI3C8FpagdF09kebxyjE+e1NZaqHF5ptMlo26NKkv30ODAHObyrUsSIQFM0TGHCas3i5IxSKuWYKrdaUasWsUuZUbliVMW3QjgrqZBNg1YJqjqOJKPU+JC3X9W00rUuiXq8xOSS8dZLQMd7jDLEnLFeAlatt1Tj6Y1FKwMKSbujiGkGHVmfNRgja4N5d8s4jZQSyNNIMZq7F78mZ8GvUgSPyXE/bH1Hu7jk/Ow+vu9JasF+3FPigTBMlAptvyLnwHzYYDXkDNo4gdR4qShapailEEPGGrmEtMajmhajFVr746VHdsQpZqZa0VWqeiGJXxsq4/4Wc+wM55wxNROV1G04hh4lw1AQzmoSBG0VHoAynjkWSCNqktGy0RaO2lClFKoadA2oHEAZjLdY7TBezGl9f9SJKghzIJMFXFQz4zgyTzPaahHBxCKgm5KEdliOF708UqYtMQ3ySxPuHqSBHEbQclHEtkxTJ5e+Zo1CJl3CJ6+YtgM0fduhnMVUTUoR1YtyOZeErhFlPL7rMU1D/i2Ck4rvVnjrmIY9JY7EHChjwTc9yRhStVTTUivMoVDrBjUWjLa03uEaDwoiEeOEt6CVJqdJVkglU8IIWVoJWmuKtWSUpMtrQlFomg6FYtktcd0JBeGQd01DRpzpqiqiGsVkWCPzPLO9vaaxjpO+Ry+XNM2SohrGWETkRCKHgflwS8qRFKdjt3xi2O+5uLjErO4xTAFLwBuFOoKxlDa4do03BqzF+QaDpvMOq8EoKwCkMBzhSgl9/Cx676nNsUZnCjULAsIYQ9M03PMrVDXHtclIYwNnjx+yXrQcrm+4ev6Kf/eLT3l6u+GHbz/g+ounfPH0Ge//6Y/Iu8BvvnhGigmcxil4+ew5i5OOH/zse/zk/jnTduJV63jn3fcpc8C3axptyIeBRKU5O+Hk9IJvv/yc/WHGmy1ffv4Vm3nPhw8/5qvvfs7Tr74iKY8znt1h5G6zJdfK+uQErGXa7/FtyxQiSU3UAtPVd+A8907vseg79sPAYRgYxj1KVR4+eMK67QjTgGNHnQ6U/oxgG26jYqU1Zc5cj7cMc6A3Dmc1SVVaZ7H7DVcvP6NYuHzjAU8u76NjZd4P7Grl8p13OO9XqJIgJ0oM5DCxu7tjmCIvv3rOp19+y6H1vP3+j3HJsB/3NCeOw25LcY6Tx6c8fvSEDo0KmZwjOQSG3ZbdODDXJOsc4wlVOA3ZF+oU2I4bzt84Z/f6GfvDNUPesLo44fG9+yxdjzGWxnlinuVZMY8Mw8Trp9f88hefcjgf2W8Mr69vmb3m/MGaR2+ec3n2hMYsiaNi3O+4fXHDi5sb3v7+uyz7jlrg9XfP/mMr9/8/Vjgq280Vr18cIMsbRCwRMARtKdTfjSf80cttrJWQivFUrTFaiw0uQUqJGCbKb2UkMWD9gm51SjWWVKoAK1As+iWp65lDggyz1sJiP6aXQxHXs60FnWDKe7xviLPw4RWgraT1ndXsr6+YpgMxHBA1pJMRs9HMhx2UyGp1whhEANG3PcuTC5RbQhJgS46zBN0qHMaBUhS2XUgQShtizDDs8cagfUvKMp4aUyZMB2pOklquoDm+HWslb8b9kn61ECOa8th2QVGaeR4xKUEKKHHyME1b6rHLbW2LNloUo4dbagqEeSCnSfJ9vw0k5YkSRjHJGWGIK2QvLDQ1RTqiRKftCzabK9CaYjTatqANbduxWp4Ra2G7vSZNO+q8lxCZFoqd/i0mVnusEZRt0JaMBAS1tjKmdQ3WtpJULqPQxOaBEuejUEcuRVUZlBEMaqmRY+Sb346fFQblepmkaCOgF9VhraNUg7KOqi0GZDdsvICFkCJzVQp77DZXCnmGcHhNKDJK1yXhnSf5TvbNKGqVcJvSigkw2uKqJkVk35ozYd4K4cp2qON4suRRDq0j2Qxljl5yTcVJ19paTLfGtUucNZQ4C5hGi7JYa4tVBmMNTllSqhglF42qNCEWnJHLcKJIDWtITOMBpQq1Qo6FaCJOG1S3wmsNWLxzR6+7Jox7+Xs6T4iJPO2pFMZ5IoQgKFdrMVZLOG4aBNSkj6N+48TSFgZKiRTjMfYI85gTtSZCqWhVub67Ir/+TiQivqNpe7pjwFPbjsaYIyve0rYdVWuut7fM+ytUmlg0Dd36Hm13QdcsMU2DXXbks3sckrQ8wjyRj6TGQxxossY0Z1RXaBD9sTaivrXWkMMoAJUUZeKgKmOcwDihVx6Z/sYqSkyUMJPnkVqC5HC6FtO2At/SsoKLxyorpbLsOx5frjhpGuLdhu++/paff/IV7cN73A+Jctjyss382f/877AKmv/2v/nv2R9Gilb0fUvbeHbDwAcfPeF79+9xeH3H05sd9//wDwm7LYvlinjYE7TFacP+cEA5w7rveOejj9hsNjz7+lu++PpbzOMT9psN1zcbXp+tqXkPU+b5qyv8ckWvHSnMGN9wsl5Rq2H98DH15JKcK7ZUwu0tsV+QFx2L01POL+4JZjxHxjiTDCwWK+zda/Zpxj98xIW7YJoCu8Ms4CzXM8bM5u6akgKn6xPu9x3JXGMXlfsffixBa2WI8x1FBc7unXHS9qgU5XMWE+M4UebM7ubAJ598yZevXjCbzOLkDcqcuLm+5e7uikWjmerE4wePOFuuWbmWGiJhCoLPHSY2N1tutjs2sfDw7pY3778jLYx8nJ6liLIVahHFq9ecnz7kYn2PRduhQyaHwDSH31XGh92ezfWOLz7/hs9fPuXhxRmpVrr7a95+8pCzxQl9f0LXnZL3hTgODLuBzc2G7fZOnqVYalISzfl9Dvevf/NvqKXKfzjeTn8bDKIW4RNrKwGmOMlbk5KHkALBeR4PRFkPi4JNWSfVLiVEomE+HGESRqpeXcc8DozjnpClVmGUJZJRKWN9g9YKZx3FGrT3oCxzSoR5ZNxfE7d3UMWpK3wkCdxZ62nX5yhr0aYSBznYtbOM44GiNH3f0y1XVKNptGM37dnfvqSWSE4ZTUUZh7KWPCUsimW/ZNEvMVYxTcLQ1jWRh0CrNZ2x9CcXxKqpYcTYVlznVvzwfdvjvSdnGQvnKmN+wkiK8sElBQG5lAQ1kWvLmDaMYU+eJ6gVbS25ZkqYaBdr2nZNNp4YBFIiT2yNtfIGXbK85RrbYlxPVfo4ck70rkGZhqwNKc6UJAFHpQzd+iG5O5c8ALKTlr+/EbJYnKAetalUtNYYI2hQrAQCtbbk+UDc7SlhByX87gJUUWgn49mSE9o1WH8iVTFt5YFbquQpvKeWTEoJqmQxlNG4kiEOxBwpSklYzDhikWBnxUkzwhjmKvmKOG8o83BcLykqmWHYyFQHJW8HR3kMJR/f2iQEp5URHv3xcmldS9OtWS9OmBXMRmMWa8Gpug6j7VGTW4/JekPbLWjaJTEI5z1UmRAZ34hjQWnh3BtLiJO4sY0hpllQy74D5Yg5kkph/u3n1TZooHOW2QivIiVB7hrd0HhDDCMUe3TEyyjVlEqrIFrhxBfnCeMd/bpD2SXyCwC3bjHqHhgNSZGO9bGck1xytUZx7P02iao0TmfI4iu32os4zmlKjRxixjuFSntUlsPTGE/Wlr5rOesaWL1DiBlyJpbKfnuHUlucNfRdf8xttHjj6JeO6BxFnUq+p2QqlhRmcg5ycTIarQzWOcqilRrsHEghsZsTcRwp7FFxZAwHtLPi3mgXKO9prSHGSEWMldV0Uq49Xsa63mEKpFpYNpmfPWqZrl7w6uo1r8bET/6Lf8jpuOf/+c0zFmc9f/z3fsb99oRP//0nvBwCymrWq57Gak7OzlFuwfffexNi4eXLDV++vOWD/+IMpRTPvv5WXPcYTtZr0jDym//wNzx6802ePHnCyWLBvdUJw/5AeDHzb17cEkoiU4jzxLNvXnAzBR798V9wOSc++Vf/jMNw4Oz0HOM05w/fwfcnlFqYvnvKr//6X3D2xv+Gxq+w/P84+49my7I0PRN7ltriiKtde2iRkVpVZqmuAgoFoBswTIimMphxQPJ3cUQj20gYaWhrazSARkMQDWOJrMoSWZkZERnCI1xdfeQWS3LwbY/ihBzkICfp4dfv3XeftT7xvs9raY2jnbVoY4ly7GPGDTn0YFvu3H8T1JyQ5LOTg0RoV1UFZ3cY1xvG7TXHJ4bZDB6++QFnR/exseA3K/abDXl5yHJ2SPFyXo4hkPue/WbNzdWK5xeX9IeOb7//ffaXKy7XmTqMPPnkU3b9Gj02zBdzTpdHVBlxZHjPEALjruPTv/wVP3/+Je3RkmrW0vV7SbnTmuQDISXCdoOqLfViSVXXzNwdDg8OMDFTQmJSB+K9Zxx79tueqxcrXj674M//+q952p1zmme0dw94/+FrNM0SZ+YQMmnvCT7jh4Gb8xvOX5zz2ZefcPP7v8G9gzusP3vC6vz5r3e5y15ZobTFOIsyDoxFIbaYup2hXU3X7QSZWSQFSmUFTFWqFlVfNZ+hnewLQUQv0Q9T52pIxsjISWXQiuw0qsiHx3vP0G8xRtHODjlYHDKbzbCuph9Ghm7PendOt7md8rgDOQlhSjcLnHNYa8U/Wy9Q1k5FQ6KaLykxYo2lbRrqZiZ87iJWts36QjC6WUQUzkrHolCk1AsvP2bxKwNGFdrZHF8K/W4jEBBjqOoZ3bin392S92uUVnLwzOYU5dgri3MVGYWyTnLUtSFl6TzCsKEM/SSkMmRV5PdgLdpqEfSlkejDV4rpcRcI3RpdtVT1nKzk4mccCMOKmIW0pZTCVQ22OQTbTJdnYlBMgjoj4804Sk66rbFZ3A5+oqypOIpuQE9wj1ywKChmynfRVJVGG/Hcx9Dj9yui78VGpwvGOLKdgaqxdYMyFSp5rNEyyUChpqIyBRnBkbyoptOUwV7yVBz9rY1RKSVZ6MbJCiQnhjCCcl918Gg9wWISGAVZCbilFIqVXXhhguxMymBxZCAiTS3e8xgk5YwcieOeYX/F9jKjlKxwmESKplqi3EIocMpCMWQS4/5qSqMTwJF1DZVzOG0xtZAfc7HolIlYmVYUMGhsbYnRE/s9SlmKbRDBZ0AneY/SxAFwVUPTLEjFMPhI33dUlUUh6WUgWe6hKMl0KFLkZxRqdkZUM0xBoEq2llxy66BkfBqp6zl124oQcMo7yGEghQ5XaQoKpxURRcpSTMbsKUOmqjXWOZyzuKYmJ0VXpNDPCYadBABVszlWKcIoRXfOiaqdC7Gy70haoExF6wkolHBTqmFMgaKsWLEQtb2sDi0xymfcGSXe+BpZMeoimfRVzWy2xNW1hCVphS1QoqeqG2lm0khOQcBQOaKCJSaNwpBT5N27M+7Qs7m95vntDfe/+QFfOzvhr/79Lxiamn/4429zbFtuvjznz376IT9/ccXp2bHQQGPk5uqWelFztmx48vNP+bOPnpBPjtAahj7wR//5Jywf3ef+49eZOUdxI0+/eM5P/uyvefDgIW/cv8f1xYoOhepGvljd8PYHbzJfNiwf3OHZr56SXM3rX/seR3bB6vlLPvzr/zc36xVv//7fZ3H3NdIg2R0vX3xJMZrjkzOWsxk+RroY6FOmshXWOmY5MhtXhErTuCP8OJJ8pItJXCUpYAkMvhPbp4a7d+4ybwMPHrecHsyxKdPdXLFfr9mlyPzhKQaD7we6YU9Gc/PlS55fPWeXPCdv3Of9+/dpi+PFoHnx2S94+vyCL7/8gmAi3/7t7/HO6+9SYdAl0u87Qj/gQ+DLj5/zbH/F699/ja+9+T79dcfm8lJWgChKTqQs2Q05eNqqZTFf4swoKGKtxateAikVfB/YrPesLzc8vbgkOgk7S43m0fuPeOPRWyzqI2zVopNmGDd4MrHPDP3I6nrL558/4er2Jf/hX/13zP7u36F//hKOyq93uS8evSdiNDRtPUM5Ga8qJeQcMuy6LX7cYXJBNY0wv52TfOaiqNsFVdNOwhTJaC7AMIzizyUzdFvIheZwQbSWse8JvSjEQwo01jFfHNLO5rhmRgqR6xfPGJPsRpq6Zt4sqKsZKWfG5PFedia2dlTWUFtL5SrGrCBnZtaRcJPFTeGUZd7MSQWGfk83bLi9fk4e++mArWgOzlBOVNY5RqrSMHg/CQ4zSstLOeZCLopqdowymugHut01xe8l/tG2ZF2xD4H99fMpVdRMQBjZ+xVlUaaWjstW4JaY5kQmI9PLY50jp0jot2BFqUxE/h6Abb4K32DcYtySrKxcjtlQyiA+6iSjKMYLGeHnPHVZ4gVXWsulr4T9rpSdpjhZDrssbPBeW/F+Jz+NMuUwK0ZBhv1+GqrrIkIyU2PqQ9qDGbpqcFaTikBulFI4Y74aTecYIHb4nZCwUlGTtUuCiUrOFEQRTZnskNohsgSFrhpMsyAU0TgoZb6yIColcZNKaWLsyXFHCuLWmL7Y1IsXVMmUIvoEzFz+/1JEIKhkpK1SIoUdFC8dv1biD44ZVEDnJOIvJ1Al2yygGEqJcrUah6lm8pyndUue4oKNFmCINbVQ4lCT5kCR9omUssSjuobsB2Ie5VIdd4DGtKfizAh7yuqCQiabSrIiSpwseJU4YiioPE65DJWkFWqDcw6tpdAqKeCjJ+aEGeXvOK0wxWGyFm2OPEVibhi6SZGfA6p4ih6oVGAYgxSo2pCpqJoFtanRRnQp5nApqYIo7BRMo7RGk1AHEtv8qunIMdL3a5JWpCQpdlFrtHUMITJbLEVzUTSmZGzTQvLEboczGusUylpZr2EoWjFrWygzjBJdzs4P5CDrRZ+TBNvohllVE8LAmC3aZnnmulDXFmvED14qy8OFYvPsM7ax5/0ffot78yMuPvqYv/jkS+68/wZ36jnXXz7ls88u+eWqxzTCWhjGcXonE8uDhqcff0Fyjh//3R+iZwvunt3DxMIPfvtH5NmCo/kSRcHO5nznN3+TP/0//Tf85NOXnB0uKEV2z0uTScAbj+/x9luvYTYDT5+/xB2e0DTH7K5vscZyenaXoDRnb36D1ta4gyVGFV6kLKu0XDiaH2GswWotk56sMKlH3XyB3z/D5CjMgZSJrmI5cTlyKmQfhUy4WuNjoD6ac+es5WguvPp+veX8V59wu9tR3n6LO7ND0hiIY8/N+SWr3YZ133P09l3eWB6wmC9psmF3s6Fbb9j2W3adZ72/4ujeMb/zWz9kriwmK8Zx5PZ2xeXzl3iVWcUt3/2D73N3eQq9Yhi3oHtyyWijIRVKTOyuLnEHDYvFjNrKelP+TCiJOUdCN/Lis3NerK7YDB1n79zjxM34xU9/xaPvvMPvfv/HnM7vCDRuGBh9JISEH3r2m8D581s+/dXnPLt6iTeBm2cv+Y//8T/x9juPOdv/mla4+3fvfyX8ST4K2cq8SmqTjPbDxSGHy8NJGe8wWsRT5ILJGWdrfE6UImzdGAaGsWMYBoZ9hx82ZD+wXCxRWjGfnbGoW3o/stuvsFFEeNZZgdhcntN3GxHTpQBKMYwVJV2hSgFXkSkYV1PVFbWrqOoa42q01rgik5IUAjYnCTawjrHf8/Lil3TdTkhzxlA3c+zymFIMJUaGbosqmRQCKQfZlxaNymGClVghnU2EphB6VB6lMy0FTC1doXEY04AR656pZmg3E5+BaSXxzMp4WyO4Vq0tIYlK3BqD0UpSzXLAmIpcIqloiqmm8biiRC+Xc86MPmFCwrXHuMURZbKC5ZSmZ+lJYQvBS6ISScReWmFtQ7FzAXK4ihQClEyljfD7jZ0GrkY6q+inSFvh5ittsKbCadn/GzcVh4j1MKRAjiPjfivqeSNAoDx09H5PKkXy4H0nKm4lF7aaRHFytCNiJQBtpRtWaoppnYE2xNBjdEVOgoSlTCnweRAQTYpTBLCR31N9iNISSaqV+tuCBIEMaVdRbCPfS5m6+Vd6jxDEZ549JXu0liAcyZCX9xblAI1QL8MkqGumoi2IgC4lYkpQxHFAydD3k7YBmZQkwd+ia2xzxGx5RNPM8V7CXrRSpH5H7WpiipQwUKyjNEtiUZgcMY2w0FHCj1fayCQj9MJgNxXOOYpWpNGjjaZkPeFzZa/u97eoEvFkfHfBUC8ZNjNsvQDVSM67dais8F2HNYWmXTJfnBGLJkb5eVWRpL6IIg2eNK3BjJJo3d2+l+eJmi6QhM4jxiqapsXVLQeHR2hTkadJhQ+Byrboyb7kg6cUhe+39NcXOCd20FjcVMR6EVySiZOvPaYRlZN8zhBGh3OaSglFkVLwsRdNZ4503ZaQAlXt6AeF1gIaOp0pHjZLsk+8+f67HDcLdldXfPbFCz6+3PKP/uAhevA8f37NX372JXbR8ta9R+zWK5ZHS1YX56wvrln3Pcdv3OODx/cJqy3qzj2ctqxuXnJ0964UYramnbWoFFm89Sb/x//9/5aPnnzOZx99ypOXG2qnsRlspZiftNydzfjpn/ySl9e3nP3oW2yvLrn6/FPGbgM5ka3m4vMPefnJRwBUztGFHlLg6Yc/pW1mqJSxSMJf6Hua3HNcDThn2HUbVvuBfP6EPjkKeuL4B4EOuZZx1zOEgUcPK944XdJoRbjdcv3FF7y4eM5FTHzzzm9BSIzes7m9YtPt2ZSBe+8+4PH9hyxUQxiFxeHHEe8T5y/X7MKIT4H33nuXs9kBvhvY73q6/YbOj4yMcFDzve9+j5PmmOwV/bBj7DuKKfg40uoKU+QOicmDytQGyCNaFUJIpNEzphG/6disN9z2G/SR5d377/Dg9A7Di4GzBw948M49jppDVFTEMjL2nQDQ+pFu2/H0syueXd/w/Oacdb+lPW1wteO220shUatf73JPMRLHIN0AiqrSIqZJSZJ6agcK9BRYUhmHNZbN2NP1PWG3lYrOSLUbc6GkjDZgq4aD2YyD2es46zBaU4qm3614eXWJH3ZUtqY9OkHXrdhGQqCoxMHiQJTSKJQ1NFUt6mvjZO9pLTEmXiULlJJJ3uP7LeOwIY+d+I61AQzDuBN2uKto5oc0swN0kUPxdn09ec0Hcgo4U5G1xjhH0pWEAgxbShhQ2sroFWE2K1vJSFdPXm8jPuFCJvsOspeLpMhoVaksOdM6ob0ItlIS1KBKCesa9GxBtI4xjKRhP9nOwtSNqgkFK79W17SUeolSGmOFztc0c7Sy0zh8oBRD5Q4wUxDHdrMmj1uMBusMKU/j/7qlFE2IIyn0qAJ9SeQc0aqII0JrnGuYm4rkxA5ZWUcfIpQBWwy5FPwwCuRFgR9lZy8Og0DykphXYk+Jw99e1rI5nnLUC6okyOL9ltG6ZLMrXaNcIyJA11DiQCmR4jtJGItbWR0pjQy0JrtYVmjloHKUajnFjCLeeysXm7YtmQoKFJW/ohm+mnZIEP1klVOGjCEVKWy/uqSzxxhLVc1kMlKEx04R+JPRNSA8aY18rZQLOkW0EYElRS4mpSQPO+dE5Srq9oDKOMKwZ9jvgMRBW09RlRtCF0jRk5WENSlToaoZztaoUrBWU4JHlxHn5kSfGIskWFVuJI4QvSfEPSrHKbY2EMJATB5twNXt5EDpGbOlj+BCxug9BibnRC3Qq5JJ+z2uKZSsqJ3DWMlUD7ngXI2rW2qrJ6thT0qgjMHnLKmGdUWOgT4kUbLHimwVNgcaG6legYNiIIx7GSGkRDZOePjIGnDXjxRtaFzD0WyOUZHaakI2GDQ+eckOwFBN1MtkC02WaQUYQc16L8E28xrjlFhp/UgMI05Poq+mpoyGu6+9xtw09Osdz55e8NOPvmSwmiWRD//yF3x0teIbP3ifXRf40T/+r9ldXBBU4N7JA/4f/83/k5vuhm+9/ph6CJzrlpPDU3nGlaNt52w3PXVdwxi4vb3mdrNjfXvLw5MDjr7/DVb/6WdsxoGu67HW0RTFk48+5WXfMeSMOb3DbbfCD7fYRqNK4ujdb5PaA6yWJL5BKczpGerLT7j81c8xh2cSlxwT906P+OH7j6jWgRfPtvgwimtj8Ow2t8RW9AF5CIx+YH6wICYwztK0M15/vGTmB7YXl6yePyfUBjVveeedx5zUYmHsd2tW+w3udMY3Hr7LaXuAipnQD/S7Pf1my+7ill99+Ak36w3bHAi5MGtbcsysVzdcPXvJNuw4enyHt779Pq2rWM6PMF6z2q3p93vG3QbfwjB2tE2NouD3HbebSw7unmAnlkkIAaVhu96wD1v6254X1xecvHnCN99+i5YF49ZzeXuNPax44+E9qqzx/Z4cI973DGNk7DLnl7eUU8P7b77J1Rcv+UzB8ckSg+z8m2VLm3/Nzv365XNyFPGNAkrJGGPEElPX5KqgrUapRAqBy/0VJY6EnEgYmqpCOwtWoVHMihGRTiUAEFJiHAZu1ueM/ZaYPLaqqNo5d87eFKGKrQWg4weKHnFmLlGaVSVhLv2Ocbcj5MSw36CLQGc0kFVm9IMIhUoW9XiJVHXL4dGZjJu15Ugf4IxcIEobNttr9ldPIcheDg1a19jZAm0M2XekcU/er7/yfmrtwNaYdi5QmFhEGZy8PDuVpfPKUnSU6ftEG4xVcsAbg6taTLNAKUd8RfFrPM45KteKT7hkfBjJ2kjXrIRHbp1FKaH9lZQhe+pmjnYVYQxov2PYXTMOHT4NkvSlNdY1MsbPiXFS9EoXJztWrTQYIcbnEsk+COxm+jmgoNL0nhgr4SXaShgERRT5pkErLZ2UcaJYL2WyF0a0Ea2BQrLdizYCWynC9NZFBJ0lyS685ALaSLKUXaBMM8GS8sT1TpQ4FQpKQXsgyGDjBXWavbzkxqEmtrVxDdrVQn+ywiufuYZYICtFZSTEJoUe5yqxPqGmwAlLjBkfPCZNiNQCBol2tUZiLJWpMUbyCDQWZyrqWYvVWqiESUMpxLwg+oE0CphmTD3EgO73ku/g2skJAbqA32+I3Z7BCGUupRHf7dhrha5nmGqG0ZZiZFpgjMEaSDlglcL3Pd12RQodWRU0ks0Ohex7ujxpEVBfoY/LVwWlBeS9jkMlGQ+6JnS3JFYkpSe0LlLwMnH3tXjIj5Zzdp1n028Zw4h1hrZa0FQLUimUmGVa1dSCws2Zqm4IxZBRzJWGLFG90XeEbo8vkW2Y0L6TwFciYit0NWPezuV5oDFGkf3A0O1IQbK7rbOUKlNXYqWNoUOPA2kcWA1bxiDpib21OFfTzg6gmTGbL1DKEjJYO8M1BR8CIUWsM5wdN/yT79/nDX1BW3YM6xXnX77kbz58wlXfo3Pmw7/8G7bbPT/+ve9yN2W+mB1xPKu5+/ABz158RvC3/NN/+k/4+G9+Slit+eSjp1xWc37w4DX2y6UUrSVTzyqi77m+uaZeHvHw9Ixu0/Hk+jm/85u/wYd/9RT6Hee7nhAit13P0ckZ1y//Cg6POX38HncP77EPI0M1cmwi5r1vsrz3NiWO5BDYd3siibVz+PWao6NjlHY0BzP+2R9+m68vLf/yn/+SEj27zYp93xGbJames913xJKpm5rmYEmKiZgjjInTw4a3Dyu4ecrVp59w1W9wZ0c8+tbXOGyWlAyb3YZ1v+PotUfcPT1lbmtsKox+pN/v6MeB7bbjs8+/YHmsCN2GXhtOXz/jt37zB6g+cnu74mrYcvftBzx4cJ87R3cxsVB8ZL/d0u/3bHa3KBUwWfH5h3/B/Bu/gwJJMXViRS5Rgpd8t2fXbQXING6YHc15/9FbHB2d0pSWNCaGXc/t7S2Hd2ac1A2+Hxh7T991dLstQ0hshoH2Ts3je2fM1QkfHX3CrJ1TWbGKj94ThoGx+jVT4faba/lApkzM8kFXyuJcQz/UxOjJY0cceqwy6KoVUIGxLI/uSpfoBFaitaiRS4zs1j23NxeEYUNVORbzA47u3me+WDJrFqAdwXsJte927HcbDAkfPDkktDEM48B+v8aULH5wZwVPqQzWaKrKkWJCacPRySluJsxynTLWWIwSYpbOAmcYFez3O1ZXX5DHHSWJoleRhXgVI2XYyL5blb91ERTZDys0WhXy2BHiKBciBtM0KO3QuaKYVjq8KVrTuAbrGtrlAaZqqKuZqL9Lpttt6IYbQrch+SmSVWtcsyBlRbe9JsZeLo5qiXENo2LyHBsJ9SgQxj2uakhoSs5kNMU6jG1IJpBTZAwDqQheVCmDdq2I6lVBZUUukehHQg684qZTZLekVJkwpwVtGwoVlEJSBhAho6qEiKaNpmlacS7khIoRXVfo6pCiNDnIlEUXhWoWhCQgHx0CiiKirQzaaimmlJPDWhlK8MQ4kvOIimJnRFlMcyDWppjJeHAzgS29spXVrcSoGkulwGoFRpNSoNSRHDLDfo1RCV+8RDgW6IrHTvnsMXpxBZQiWQzGYG2FMm4qwCRcp53IibqIZiGMAzlDv+3JaSBFL2heZUklE0oR22hKxCJ2RnGV2Km4AV0MWldUzYykIKZA6DfkFKCao6oWYyWfvK5mjGNHHK5RKbBLI2myZBbtyMriZicoIiXsSdkTxi0ljMKhiLIO+UoEiBHB4SQupBRSGcXuSU8pICxGjbK1uGzoJ4BRoZ4vOZgfMW5XdLuVrNOUY+z29OkZQzND2RprKsZhJMQBXQJ57HDzBc3iDNMc0lQzoaHVilwf4EMlugTt8EOPMZpcNK1z5BwpMbC9fok2Gmvk/W6bVgiSOeO9x+923OaAo6B1ou93dHvJac95RGfh2CtTSzffrWlcQ1XNaCspSrXWVFXFDE1RiTsnc/7p777FNw8y42Wiv9lx/eycD5+dc/zB6/zW8ZL/27/+Iz4/mfNf/eEPeL3SPPnwGfqDH8g0KBWa9pBu3HJ8OOdr733Az/5f/56//OwFz8fMi/MVf/cf/wFff/dtYkwYpemHkeO79zhcLLE5cTCreNw+xo2J1fWKdgpyoja8/fAxV3/xEX/0059TP3jMws3IPpGzZrcbqBbHjJsNR++fwGbFzdUl90/vcPHJLyFHQgjs+j31bMY//OabfPus5cUvPmU3yPP68Ge/pDo95PDujLODQ2Z1YfDDNAESWJHOA75kTo4OcDeXXD59wkqNPPrOe9w9OKGdHTLsIps0MJbEa++/x/FiycxUhK5jGPb4IKuckkT0dvfBAr0eaGLg8/ML/s533pou1T15pvn6O9/jcDYXjUUohGEges9+u+P2ek0XOzQRv/VcfPSnDLuOr3/zd+i2a8lEKY6hGxjGnmGz5eLmAhrNvdfucTI/wBRFrWpSn/DDyH694ebmmsVbNWqMrLtb+m7PzdWG6/2K40dHPH7/lLPDO5jQsr0YWa92VPNKENNFMexHcq1R+f/3Ff7/93LX08MpkypQaeG+K9eI51wBrqGqF5i2BlVYuJqj+QG6blnv94RdJ2NzY/DRYwCM5ejsDofztyWNSUsHkwsSNbm7pFvf0g1bCWhAPMxWGxEo+EBRmaZumc8XHN99wHYI+I1wsF1Vi6CKTGMVIQ7EbkdJhaQduirMZnN8ztx0HWnoRSCmDfOTh3S7LSoFlJnyh4uEi+QwkOMgbHBdYLIFFlWETOd3GG3RxlLVM+ZHZ0QMKU5K4gxoN1luCvOqpqqla95ubrg+/1jGzEoJ8CNG6ZS0IkaxFOZuI3vWSdhYSAS/JqeRohVGV9DM0SoLYCcFxvVe1iFaQmCqeoFyNUSPNWDaY6JrMGh0ktAVSSMayWWUnzfFr8bOeRLcaZUnoZWbRH6itlYgO/+JaV5ij1ai8h+7FakUlJJJkNYGbWbkyXqmlZYwkyzPwdQt2BatayqtpVtFiWoYUJOdKuVBLv16SUkFU8+lAJnyuttGLjCA2lQYDYaEUYV9v6d0Hd7vJF3PiB1q6HcYpafOdy5hMKUndVtS7klKfyUcLNqJIG9MRGUZjWTDC1HQAQbtLM1siXUzVFIUoxijEk1BKmiMMP6L4J7t5ExQWiBPwpO2xCR2vFS06ABSFrb+fo0OI229EDGPsVhbkVMi+pGx2xPjjtjdoNOAvJCKoDTa1ChX47uRMuzQBpSzaG1IWqyLTNQ9lJ2meQIN0lVLTpkSe9BliqVtwM6FAmjFUikBNZN2IAXCOPLy2YdSiCSPdi24BUzciF2/B7VHFREgTstsitKM/cAQnuPsBZ12WC0hMVXTcFTXVFp0E7vGMiRhxUe/p3KGVDnayhFyYAweoyuGMWFUpqorvBJ8LVryJWprOTqeszy6iw89RkViyiQMSVm0mVFbA3EgktmGJMLXGHEy9Wc2r/hHP3yTd2rP7vqS/vIFzz//jL5q+Nbv/xanvuff/+wJu6T45jff5CGR1eWWX53fcvdrBaMMJQ/Udc38YImPI265YGNaFncPOd0Enj19yb/7H/4Dy3/acufOCRqLnrccHR5gU+b24pJPPvuC7/zODzj/1Res+z2NCQQFQ9fxR//hj/j4l59zvt9zv53jU2CMHfn4Prz8Ff32mtuPf8a3vv+7bJ4/4Sf/3f+Vu48fMW5WDH7EtDNef/MdHs0V3753xN/85Re8+PIFq9sVFze3/OzDX/Gd3/kBi9Zw1w3sqjm345x1t6Pv99RmxvLwgLrWvHXaENafMraFd77xAUftATlqcj+wv9kwnt7n/ptvcVi1KB/IOhF9L/Go3qOLYVyPfPbJFzy876YJtGK2bPnBd95hhoKDJa8dHdC6illVU5JMV733cg+tt1ycX6GPFIssZ23Zjvz8P/87np9f882vfQenDX4Q0er15UuKKdx7/zEHzZymqVm4hRTxKeOHnmG3Y3254rLb8v58SbfacPPygk2/JTm4/7VT3nzwJsvmmBIUPihun6/4/MunmDODzppEJA+ZX/38c/Kbj369y33sxLKl6zltc8TB0THV7G+tZD5EKi37dLSmMTJyizEw9ntKDsyaGuMqYkws50tmsyUhZLwfMFmhdGbTbdjdXoEfRWwXA87KCDEjqmld1aSYse2c2VFL1S5QOcHYc3v+nO1ug+/2gnDVsu/N0ROiZwyBo4Njzu48ZH56TFJOgDPA0cEJZS472zF4+hhZHlhSnqA5wQs4p1Z4vwc/TFalglYZPYVtWBSuqZm1EunZ1HOs1gQfGcZOnkeSpLlXwJj1RGrzfiSimR2e4KoGoiHmkaHbEvZrUa+XJHer1pOSWS4CEWZJV15SlEPd7xDjVp7GjjN0NUM3B1Rti9UNXb8lhD0Ghfcep2/JSpO1FCyVcej5nKiOKBR8PynIS6HEEZJYvl6tawA5fHMilUn4Na0IVJFB7Ktx7ivRWVFaCsQi368ITdWk1pciUJWEtp5iGrKVC0grJepkI/jYZEHpRi5DBdlqdEnokol5gHGQwmziLeTpgsnJE3xPQqGt++ryzz6hBxHUFV1LN+kDfn/Nq9Q0lJN9vohKIElRo5UiuxbDDOWW2NkSZ2c0tezpSs5oq4h5pERZHZQUp3dKSWhO1VJpg7FC+/MxSOc+9oQi1jKyCAIhC2510IL+dY6sohD0lKi8S9b0fiB0K1IcULamTNkPr9wZuj6gpEQed0Akp4xSkaIcegoA0kqmY0JG1EzVleCEKVAtpbhUlqKdWBu1RmVP8TtySRjlqJoZ2h4Tx4E8NpDG6V0xQELFPegkIr66xTVLQkoM/UCJPSr08vNnQy6WpCuUaRizYrtaMfYbVPG0rka7BdXymHZxgi4ZsmFeGUhCyMu2oWRZN6oSKUpxfHRESOBjwGeJ7VTaMLcGTSGGSEgRbSvJay9lStzTOG0IUxhUHAdKycQ48rvfesw7dWJ3fUPurrh4+oSVKbz3jXc50w3PP/mEP/7wCw5Oljxa1NzebHj27IpfnG+5oyU0SRcwyuBcTUmJEEZ+8OMf8PGfJl6+/AxnNLtnL/gf/9t/w+//oz/k8WuPOFgcUKG5ePGUl6s1D99/k6PjBfUbrxNK5uD0Luqmw1mFPjjket8TUmR/e83ZyX3m7TFQ+OTZp/zJn/1n2sUBP/nv/y+0k4j3ycc/wznLOAQ++O3f56Rk3juecf2y59kthH3PKik+fvICtzhgtR5Y+oqjfse9Q8MiJo4OT1jRCgRNF+ZOMy+eUilee/gaB/MjnGmIZMb1ljEGDu+csrQ1r6S8fhgZup7N5S3b/Zbbdcf1zY6djjzMhtW2Yxczr7/ziAPnKNZw5+5dFsbKytePxBCJITLs92xvNnz55CW/evmSrx0+wDiFCQo9c+gc+ZP/9K+wc8X7r79NGUbGfouZOxbHSx7cf4wLmpTF5VNiptvv6fc74pj54rPnXG6ueGt/yG0cGMvA/K7jweuvc9yeUJklxRvCGOh2kWdfvuR2XHNi5uSQ8L2Avr78/CWP3nj8613ud9/5Fk1VM29bZs0C7SYEZk7EnHHWYpWmG0exW2WgREmK0pqIwG4MsFwcolxF1/ViZYoj6wymbRn9SEojVhcOTs9oFTilKYiYpaosSolSd/AdZd+zP39B163JcQpVKYja2Dmscdi6prKH1PMF7fKQWb2QCj3KB1mbwtB3lJgwxtCPHkOmLYVhDLS1FCXMGrKxpKTEMlUiwXtiFvGXc62wsp1hVlkciuRHdhdfsLq9JKdRELPagpIgD2UURYFxDcoUrNNUxpK7DZubc1HBx0FiRIsIiJSp0ZUVIfyrjm2CtSmA4sX2Vso0utVo21ItTqiaOa5u0bYiDHv2qwsZLSKVap68uEyHFNOhr43F1UvM7JC6maHapTC4w0AYeyYE2VfWspKmIaxpwFgZxWszXWrTntZIumBOAWOt/Ixp2t+KPl9aHTNdtrqSfbGtCHFEDZ6UM6ZuUSrjQ0CVQBp7EkhxEwZ0SUJBjGkqgIz0+oqJ9qbRuqI0Bxhjp0epySSU1WhbU7QT9jpRiHAnD4lJdtA5dOjmGONmpCwrDEokT0Q7Vy2omxk5SyDP7uWX+LAX/YGtUShZUxU/2QMl9lVT6NSaEkU86myDrWYotHhrEWujiACF0vdKOCoiiYB6tTKqWvrNpaQ15iDrId2ArQXVa5R02VphlEYpyItTcloKsCl4KLIsV3o6KnIUASFTMVLyBG3RqKjISihuaEOe4lhfvaumaLQtU+jLHo2ITnXVgtEU35HijlICyYNWgeBH1PZWMiNsjVcF5SogE7OihAJlpJgRXeQ80rMGqxaSFWBaxlCI6yt2awnZKCUQfEdTzTHGiue+rpm1zcQ6sNTtUnb7BnTdCldDW0JMOFfDIOuHPPZ0vhctgAJSxrgKp+VzrYrmtdMDFjcX/PN//ccs78744ddO2BvFD37jt5h1I7dPPuOnf/0pn95uuff6KavrFVfbnv/5p5/x6Wbkg2cv8N8N1JMI1TpLHjRdGFCu4ujNr/PFv/1zzg5bDpczbp5f8D/8t/+G/9X/4X/D0XLJ9cvnxMrx3je+RlztWL84J3eZYd/TzGbMFwt+4zsfcPnlM15cXAOK2yef8pf/9p/zG//gf01lKt750e/x/OmvePbJX/Pyk58BFq0VqUAcPfe+/j2+88PfYbG/4PnLE87rhrFbUfo9B29+gProS4y5oLr3Ove/+wd0IVD8mu72BX0FqdQcLhc0xtCawn7Y8tZbDzloWooP7ONI7AK7bk+8c4fD+REqBhKFcRjwQ0e33/Hk8y95tr+hOpzz2rdfY57Bf/EpHC750d/5MbepY640s+WcFg0pUFJkiJk4BNYXtzx/cc717YZyp+H7736f7vk1L1Y7vJawn/d++0ecnN+wqA3OgFeZ3Ghef+0dqmypiyT+hb4IaComYgz024Gnn17yl7/4iOt6xc3NIV2leesb73L/8IzGHFCSNIS6eIa9Z7vds/dbcqvRzpITbLcdMScOnOLJy8tf73K/c/c+tZFRoNWC8bRT1Z61JsTI7e0VTFGVWimccwSlsSaic89+19GNAzt1KwdJZZgtRCxTUmK1WdPvVnjfyW549NTzOclH2fmVwtBJtrgfO3wUiplmugCswxpDPT+mbue08wXW1sJmt04OrJwnUpIi+IE4dAx+QBmoFkdst1eM253kUytFNVtgnSbkiFEGg4XkBdJiNaVqMGomuNCJyNb1HZvz56QUxNMe9ihTga3AWOlwkhJrVJGOPZeRUvYEP5Kz0MJEWS8iJa2n8acCtKMUUVeLXDuJtcZa+Rm1oED1BH+xtqFpZzRNK5OSYce4WRMn9bYgaaPcddZh6iNyBpsTxlnQEkIT4kjYXGK0mYqRinZ2QDtbkJUW8l0UAlzJiRwzioBzNbqqydivKIXKOLm+k4ecsVqS9eIUxysXXhabkxFAizMOtCZGjzWOpOXfyP2tCObG/XThZFHVG2EEFDTaHaBqNeXea3QWYpSyFdgaW80xqiLFnlImH3sKqAkf7FyFmaYiKfqv1hG2qYkqoktE55Gqaiiqkg+lVuRxy7C7ZijTlGCilOEOsFUl5Ea/peQRpaygkPMolLuqwdYHFDRjv5GEPt+ByljTYIyd7KYCOEpK45wUjSkJEY4sFjlb1eRcBL2rC6Vogb3EAa2DgHtCT/YbUuokrMXNURNgx9ZOdBrJT5kNBaUmwSVFpi4KVBHGfokDCbGyqYyIRae1RE4DOWzIPpJNBdkQQDQeVYUeZYfdLO8QxpHgPdnvyOMORab3e/keSpa4PaXEMpoi/f6SkkdG515N7sUhUrU0s0NKjGirMUiBVxmLWxzgh0jfrUixw6jMXot90tRLDo/vY+uKmDRVga4fIBWcdaTQiaUwQwwjWMVyeUw7OxSXhVYSGasKD44qzvoLPvyTP8fOHMvK0qWB977+TZYZrl6e88uPv+Tf/dVnvFztsE3FX/ziGZcXN3z0YkXShr/56DP+y7/vMaWAkanaGAvDviflwulrd/j2B1/j5uILZhZcbVjfrtjvOvrFhvPbGx69+y41in675fzFOZvzLbv1Flc7QvQcHS/47jf+kJ///FP+5uOPQWk+/+uf8OYPfhfnlrSV4zf+8T/j6M/+A7/44/+R5EexsBZ4+P3f5cd/+L9gOVywHUYutorx5oZjvaIJmXWJdN1+ShHNhFSYuzlFz6keHBMur4iGKZQoUS0sD1+/z0ErjpgUZeLV36zZuorHr72LioUcR3bbHWPo2d9uOF+vGA8cP/rRb9Iqgxpg++yc7b7n8vwalw3vPrrH4uCAWTuXZqQkhl2HqR23zy958uwltwy89Rtv8PDsAWWd+Lw/52+en/PgjVPIBdvtefv+Gamquby44eThCY8Xj1jUDSpA9tIoSTZ7JARPGCK71cgnnz/j+fYadEQf1rz//te4e3CfRluMnuHT+BVGN6RIezxncWfJcl5RoqLre25WG0JOzI4aXjx/8etd7u3sQDpoXRiGIGKiJKOhNHG+jTYUmglcoNC5kMLIZr9hv76mUQpnK0zd0DYzSspsL2/Y7G4EKWkNX91gYUAT2ayu8H4QSIdW6KLgFY+8mmFdRTGWWivm8wV1OydlSEkEOc5WONcSckLnglUVnfestitUDqJcriUUotvtaFzF0eM3BXSRNbFkbFG0ViPKYgszIGeME+HU6D27/ZoUI5Vz7Hcrtt01OmVcu0Qd3BfcqSqUouTynsbWRqlpV59IY/yqc1NGRprKOtq6ZvSjqMXRmAnPWVSRUef/F5goW4drxf6CExW6mkbQ+/1OLiVjqOYHNCoTfUPKIxoRGmmSdNZhT4kDIUyOA2slSrOWoJKIEeHM9pbKGglWiSK0dM0c3c7RWMGqOkMqU/62Ez1FJhG8R9mGAJSccE1FY51MGwTSLwXTJFQMYZDo0VKIU8So1o7sFlAdYKpTcs5TFxlRyYs1SRlKkSJBq4y2LUoLHlY5h7NW+vSUqeqWkKL821Megky8wxSzC9oYgh8o2ZOGHeQouNo4kkuSztbVsrs2Bj0/xVYzXL0UapvvhA8QBnL0MuXKMglCZYmMVRY/9ozDVtC61pK1IYwDJQ6MOU92y2pKrJOCGw4Ez1tLmARaPOjkkboxUhSqQooZnTJZJ3JRJDToCtpTlLnPNNaYxHJJ4DFa9DVWXlJyEgaCUhZbZNVCTgIyqpaI40RQuiUOkAVBHfsbYJrwTGQ9+TwEQtdDFI2Ca+eYusU6CbDBLKCIE4Mkz794pIXVPUoVlNEo7YivgE1RcgxCt2FYX/ztdOvV77UoERnWc8CKu6KARxDKZRzpLr7AWkszO8TkRPZ7hNOiRbAVhY2gbI1pZwz9LboIBbNt5xwenfK1N+/yu49n/Mm/+E8cnB6wXC45PLCc3Z9Rh8DN1TUff/w5P31yTmlbFJqb7ci/+cknDMNILJm2cjz97Dn9dgtasbx7V0SuIXFzeUu9bLE68xs/+jb/8/90Tt1YWpMpfeD88y+4s5zx6J13OJkfEDcrnn35gsvbjp/95c8JjeX8+TntrMXpzL3Dmt/+4Q94udpyc3VBDB6jDYvFAf04QBx597u/zdlr7/Ln//Zf8OLzn/ODf/JPef+7v0fVrdltV3w5WG5vXmCU5uShY4yZF+tbNjuJ5V7dXvP0/AUPzx5RuZriYQie49MzyFDbyDffPeTxAvK4Bx+5PX9JovCrnz/BfuMD7vvCUHrCfkPXbVndXtOVzNGbdzleLpnVC6wvbLpbut2e86cX/PGff8znfeCf/Ne/x+z4BMbMfpSs++31LZtdx+XtJYdv3uW/eOv7NCjKWNhu99w8v+Dzz54Q28yj0xmXnz3jQ614+zvf4P7rjzk5OKIqGhXFZRJiJoae6D2+H9nebrm52vDk+TlX62tWY8dv/+b3+P43v8fZ4oyZriX90UvjUrI0PZv1nuWjE77+7Q/4yz//C26GPbtuYAie5emCxayBIf16l3sJhT6O+CwcXa0zOSZUMVgzjW1NIRZhMA8pTKQvRHncLvCjJwD97pab8y/x/ZocxIakMCRXk1KkpEBf4mSnquRDUzcCIQGBWFgrSWLWcbBYolzLbrthd3GBqyzt4oiqdRhTCTmOJOz6rifFkZJG+u0GrS3NfElWEoZytDyiC4k47FEpEpF9cOqLqIRzIOVM9D0ljqKydjW6rik5cXt1KWhabZktDjHNAq0NlTXk5Mkho5yj95E4BdAoLSpj11bohUwZCkKoM0psZLYW4louSrogJEilTAcoKaJVlBQ2I11JHnZkPwh0RUvgii4ZNY7EYSfipSyFhVJ8xQvQZib76Mk7XrRB6YLO8rMaW3+1DtBGEbynCxGnRT0f/YAJI8Y0Aj1Jr0Rh4hEuWXzIdSXhHEIYmCbw2jKGADkKdGUq6FJRECMlK7SdkW0lnbO2aO2IoZtWE4IU9bHHmIZiRNFdV5Uo04GipcgE0EZhgZQLzlhClnWAJmGVxhjQ2qJ1TYgB322FTOVqcmpQTQNlFMueqsSfbkQVH5MXO57SGO3AD3TbC0oJUxHnBOOsFJpa/l1t0VYAMzlayAOoNKWOZVKRlYGaNAeg0caiqsnOpQ3Be2z2aFWhlZPphakhJayTeFqlgcZhOMQqMM7ItCVNhL2SyEnwvdqKcDH5geK3k1tGSbduailGUwJjZIJVzTDaoFKG3KOSiOtiQcBAbsFXdMUil7xxmhQ9umhKvaAkGWGm1Mmu3dZkpYlhRJUM2YpThcliiVgUFcjz0Bp0mv4csV6WV86WgtJ6crYoCpo0kQaNqb8685StyaYWnPG4ZXf1BcV3UhQYK9bLag6uJtsKXRR+vyYOO7F39jPUzSUvXnzKN+5+l6d/dotZVNw5vUPtLIenFUtb6G5v+OKzL/ly1/H93/kW7n/+GVFXfO/b73P+8pIPP3/K5fUtdx7c4/DkiM12g28qjrUihZG+69lsBxqVqY8OuX/vmHvLA+7My5TyWPjyo1/yzd/8PofzBYwdq6sL8qLhSN3ho8+fs93u+fCTJzx6fIf9esPz5y9p6wrfDwKuTJGXL7/A2oZ+2JFLZhs8u82akBIxRV48/RKqv+Ab9w/p7IxsM/1wAyVRq1Mutx2Xq5HBj5KRQeHi8jkxjLxx9gi92RDjiO8HCeqZO+4dONS4JW62bJ+/YD0MvLzeo9+8x/vvfw0TIiEHVutb9qHHHS154+6ZXLLJsF3dst1LQMvu8opnN7fce+eMcL5ncXxI42Z02y3d5pauH1ltNuil470ffY2DdsnCLcne44c9Lz99wZ/89S/5cnXLcn+Hse8pqnD62l2OTo45mC+odYUrEH2PDyPeB/wQGIeO1dWav/n5J2zNyIO37vOov8ezcc23v/UBR80JplhySMTg8WMkjAGfMpurjs+eXfDBgwPunJ1wtDzh6eUVgx9RVjM/aGlnLXEff73L/eL6mRCjMMSUIY60TYuuGvwYGTqBZWQSBI/TijEneQAyG4QcSKEXYdokJlO2wTQtVXtASpD7LShN056wODpBz5YY49BEVIEwRppaLnalDCkE+v2eNPYsZnPu3j2jWEfOk5JaGVTxbG8u6YedeHatpRQ4ObvDydE92tmcoAydH7m5vWG3vkZHz9itCcNOOhKlMLbGVM1XB4l4vjNt01LZCqUTzcEJQ9dhjKeuZTeO1nT7Lbv1DUZrdDUDY+UCt45SAs5WNO2SNMWOlqLIFKwW65KPoiKumxkhKaHJIbCXkHpUmPZ+wTNISwJFGNuleAHFlEIKgzDVlULbCu1m0rXlJB26qbBNI6uDxcEU6iGIUQCdofcdJXpimC4vY3H1XPIFtCPEOP1bgeJHScnrOhn960JVt4wloXUkJbHFFcAqRSqDvGeTOHCMaYLUIMK+tgFlSUVjVGaMnhgCIWvRXKRBsK9CUQGt0TlIjGo9Y1YfoMgYayeNfUEVSKVMlr+MLmnKEIc4JAHGDB3FGIypcdrhXEvOkxBQg1WQQpo+I4mS0qsbgoQWUFAYBJsaAir04tmfihNlrXTipaByoKobimsh16CM8NDHHdZYMka8+eMetBI93bCR4k2LxmJMA26aADjXUM3OyFVNSiJUNMZRVWLNNAVUiaRJgFiSkt9dDjA5FyTtT+HaE9E/TGAnYyW2WGHQSixwRUHIsts3upBjFgynsqjaUZJEN2kj8c9lKpo1CaUaSY3jUF7hPBKTZHEbJYltRSmyrShTY0CJgppUCq0KKQYpOCgCg0KIgNZIoaMmJkApQYRzqMnpIJZIiMJl8B0qrcixl5hmZVDNobxbJUtxEQcMZZqkTU4DM60E/A6lNG3TcmTg5dMvWNy/R+UsxhjuzQ37l1/y8uUFlyXwG7/7bU6D4t+fr3j3vXd599F93rh7l+996z3OL284Ojrm6M5dus5zdu8OTlnGYUsfPIvTU4awxlY1rXa89cbr6M1TtLas+szN1Y18vv1It7llNIr3PniXP/5X/5nrXc/1asWxNQzDwBeffMn6esez60gIw1QEW7rR8/TZ5zgFdd3Q2pqT5TE2CaOCumHMEtiy8o4Rw8HBgnsLzXFb8cxWDGlPSomcM7PDQ8l9L4HLy6eY/cjs8EimK6pw/27LmcnofuTq2QUvrl+yDiPzd17j/TfeRvtCX0Z262uCTtx9+3WOZksO6gX77VZy51Mm7Tu2Nzc8ef6CxXv3+cHZMX/+518IkXSy4g67Pc/XN7z59Xc4nM84WZ6SQxHIkQ9sr7Y8X9/gZxq3Vex3Pd4omrZiQDFrF7J+ykK2zCkTY2Tc99ye33B5e8nae+586z7fu38XGy3N2rGfad6+/4Aqa3IIjLngU8APke12yzgGPvv8go0eSNpgqoZl3dKtd2z6PaUxHCxmqGJk8vfrXO6h78kxoIyeXmLFED1jv2foOnn5xx6rC845snWoaMhk+bM8ip8ZjWlmHM6XHJ3ew80PWc4XbMbAuN9SWUMza8Svqgw+ZRFPFclhj0XhQ6IbZcxX2YrjOwuquharTiykXIh+pBt6tpsV2W+pq5aDkzu09QxbOVxV01Q1yQeub664ub0k7DcM/eqrqFSyiJVQwibPORJTFB/6fEHjGmGBG8d2dU7oVsS+k+7SVYTdNUpr8kT+aeo57ck9fDYwdb5NVcueVEEuhWba2xclY/eS9RQ5KcS1GAMxZlJWBN+RR9nX5hBk965esd+VeI6j51USHxRs1WDqmYwhtSNmUL5DpYypa4xrQUMee3T2KOUm8aD56jLPJaKrhqpaTt1mwrl2GmlmXCVdaHHV5PnPVE0zdYwGqxRKV4zBo3QQ7nkKjMmTS5ziW6UwA8nXjmh8GbAloNGolElxRBmLNi3z2RyfKkwp6Knws3UjyvOSpWOUjTch5a+mMjlKqMsrhGlGT5e4ERaCqUAp3HyONgZXIOcoUxgURjsR0oVR0u6s8OrJGV0tKOYVorclZfF6x3FP8Xvy2BNjT/QdOo7IbVcLTCeOgEZPu205MPbkcRBBnZZioCiHMrWQ94oX10iSaNKYBjQKP/TQd9j5EXZxB1BUSoHPZD1SpotPK0UYO+lojRSz+tWFWsR9oItkJbw6B1TJqJKJsmsRJnxJVMqgKofTLVlbIgqTZCVUMjJen9Ym1jnxxU/pbEVbdPZU0+41gBQ9WpPDiNFFOAB5spkhiX3WWElTLIXkg7AwlJZJlFJU2pJzJEXhwEs1A3HspTtHwl0Uf7vnKhQpguuzyS0hRcGrYKKiC1FJkI/kEkx23SSQKqUT9w+OuPnwUxZNjVOaGBOLgwVm2PDy/CWbpua3f/xbqJeXfPrRZ6yU4tRaSoZF43BVy93lHF0pmirTr1a0s69RUqbf7aCxPGjPeLkpzOoWhkGiSE3NojLMZoVnl571asPcd9ysb3jjG99CbfakfUc/CIhpHCPPnp2zvdmwOE6cX27k7MiZ09ff5K6d41c9Y/Ik19H1I6Hf0W9WKKWwux676nixv8UsTjluDzlaWI5U4tPPV+zHirt6xg2CM65D5mDIlO0enyLz02PhPxhD3RjeOlT0n3/Cy5fPeL5b09yZ8Y3H73F69phwtWbfbumjwh3NuXf2mDuHx5QxErqBHBOhHxj3O3abPc+fPOU27vnND77L8Wrg9EDOqzhGzp89x5w0fOf973PQHqBCRGdZFabg6Td7Li6uOHq84H/3wR/yL//v/5ZnfU/yifbwkOOTE9EhgQCU+pGu6+k3stK42W8IdeLeGye89uB1qlCxudyyXnfcfXRIiyH5kaEfSSnSdwO7zjOmRN/3nL4752tHr5MHSMuay6sLQkkko7hz75CZrYjjKO/cr3W5p0Bd1VTWEVLEDyMxDYScURps0ejZnOB7hqEjJem0rTFUixNsKxag2WLJvJ3TNi1G2QnDmTjGopopFhAhnw1T3Kk2lqaS3XqMGUfhuJ7LCBAoueCHgSGMDMOOsRf1tnKOxeExVXWXebukqaZwD5WJ3nN+fs7VxReE3YocR8nLJlO0FlJZLXxvqgpVz2iaOW2zoKpbCoWSIt5Hhm5N321FyFXNoGh0M6OdL6nrmRxoWlMbgQ7oFCkxYjAsahHCxSTZ8LaReEqlNTEGfIyMSgmffQJMWCRyMzZzxnxMjj1x6MgxARmjRChWlEYFLwI3CpWztO2Mohx9tyH5AWMq7OxIBGMGwjiSs6iQ80Slc8bgXIuqW4q1pNHLnhSmbHQZn+eJEZ8pku2soUzZ7q+saSpnSgj4tEMpqVJT8EKom3KYS85UVUPlhLZXDGhlqapanPNKS7jOVxMh2cPWdUX0kVI0JXvymAlZOk+Jhol4H7CuJlGBtmQla1mnwFiLM6IPMCVj6xmYSqYa1pGzxymDDwarG4wV8pwzmqIV+27L2G1JYYCiaVyDqeeE6KmbFuMcrbGYumHwc5SxpCxWUHLBGI3SFTkXUvZfZdTLWBxyivLfliwThGomXn41xfCWhMpZwnVCJ19jyjbQzqKbmbAESp6mBg0xRmJYY7WREJsMxdS08yV2Es2m4klocoZcvDD9EbVuzpkSA66eoY0VHHNJEkusLaVIkWmm4CGtlPAPjCIjiGZdEOGlgYwGa6nsHIFGBRaLuaw1lBFKXYpiGywyji9ZwFpaG6zSoArMAeXQVY3RNXEIwqjAkyn4YcuwfUlJCjs/QWtHSrLWUtmTfU9KI6UkmazoaiIYGtAzsaJpKSx0zuQ4nTmGiUmRJGuhctihZ7PrOH18JtM6FBU9+9U5aTnngzdf49AXnlyu+MnPv+CNd17jvcdn5JwnCpnCYlAF8ujZ7Tacf/YZy7fepYues3t36S9ucVjJkw+BaAzRVQzWcjKH5nLLdrehd0tOXnuDFs1qveXJy0u6ccDZiugDmyFzcbEiP7kQPa9RaA1Hpw9YX98Il0BLAI+cF1sSnspV+G5LCIl1VPRP/4qzwwW3yzucu0OSchLBvb7FGY2rHJvzp8wXd1guThl2aw4fPpDzIWmODxyL4Zb1zXNWZcfBuw958+EDjt2C7cW1XJ7VgurwhMePHlIDOiTGsWPoekJKjF1PN4zkktn5nm/81ns8Mo6LzSUXNzvuZlkTHb1+l9OzM1plaZxoV1JIJB8Jo2e/74h55MOffcz27iHHx0ueX15yu95zdnzA4uiESjekMbH3A2HoWW1WDOPIjsDZO3c4OTymdTMsFb4bWL+8YdOveeP4jNiNjCTCMLLZ3NKnyDAEBhd551tvsVAV+Iqf/PkT/BsdP/rh2zz54gmb7Jk1jXzGAB9+zc69X9/S5yQ0tXqGaVp0ZalKErb4IL5A62bUS7ks5u2M+fIYU4kFxiqHz5GSEsMQII3EFL+KghSamYz1nDFYXU0KaUvSMkq3qoAtBD/ISBqxq4mQqVA1NdVsSTWxzF8pVkEGjFoJqrDbr/D9XqYQTYvRAnPJRYhZVkuqFMZgrKNtW2zd4HSNVVaUzznjKpjpQ9qDewzjgI6B2O9ACWu9315TK4W2ll0IjMOOGMbpwDDsjaaUgtKCrnTWURlReA9xJISRqmqJubBsZtw/uEtzeELf9diq4cnNLSq1aHUPSuFmv6XEAYXCGjt1XZqkwE7d6+AHrK0xr3b1YU+3fip2sZIwthX7UvDEFAnTIUZOlKlAUa9y2ClobYWtbhzWNmJPypC1oSg56H2KMnrVso7QRmNsTTM7wBpRwqecCT4SciamkTEnauOYOdndF/k1opQi+jDZq5XEeuaELgFTaZwxZGXxQcbU1mrs5Ad2rRbtRPKEPEqRNXnKFRmbNW1lUVrROEXWhXFMhEG+/2TE0mlNjSYL3CODH3vpmovCWLnoUimQRg6aVvIKyGhdE3PBKuiHlbhKgDD2EsZUtcwXR9TtmdjxkgjUhv2OQqFZHEwcAxFKKi8agNrV1E0jHAh9RFaaojLOiXXUkjApcn17Rd939OOIMh6jAcl3JJWAcjOZeDiLNdXkkmtQuTCzmj5XWKVRKRImhHMplVgITYXVQsZLSYRp8ZUTYgy4HDDJM4w7VF2j6wVaWbTO+D6RlaVqDsSqWArOVZRS09ga60QjITqPFnJDyvmrgJthlIPNOiOOiPzKHqrRJYrjD4OiIpeE0zOa6nWsVuSigUz0Iz4GglcUV1EQ9oLWrbzjqqDzCCkSSyb5jrQ5J6RRplmTuFFpQyGjm5bvf/drPLq5pBrATF27th6XPe5wxjcevYMZPNcvL/jVZ8/56afP+PHv/4CDyrINhTFHZlTEohkD1POWeWv50//0R8QYOH1wn5mr2ew7nnz6GaenB3TDjtnj11h/uMfqQsiB0Hd8/OHHvPOP/pCTgxNSt2e12/G9v/tj/sW//8+sp4ts8J5xHAEkQwHN/OgYUxSx34oOCkXX77HGoF1D5eaEymOdIw1brq7PGXOgsy3sLqjrLfPDE+rZkqPTMy6f1Li6plocUi8W+GGPXcwQoW6horA0gbC+Ijfw8M13OD08xaEYtjtSztzcbJk/fpfHDx7QZkNJo7h/stDoSIGwH3ny8TMigTe+dZ93Ht5heHrDbuhJjeH4cMH89IjT+YzaWOLoyT4xDj3RR9brNcOm4+LlDSf3Kv7eb77P1arnF6VwtenptCJkg7UN435k2+2gJFZXN9zsbzl6fMJrr73O4eIQWwwqK4bNlv16w4vnF/T1yJ3DBX67Z7Xp2a137MOeWBfuvXaXt84eczQ7IfeF3eA5f/KMxEvc+S22tVRJgo36zqMT7NbbX+9yf+ONt0haY3WDrmoZVykZW3X7nnmK1M6inWWcAmVaN8OYFoMmZM/O70hhJGdQ2jD4nhACta0xRk2IxobKtaKQRk9WLIPKkhKVw0BIntGPWGMo2tAeLNC6QiH2qpyRvXKRDG5VxC4UpnQyrKZZnlDNTzg4FTJaLhOBD/2VPcy8EisZg1MivEHpKdseKqUwTqhiOhaaytIVTzYCXxk2N5Qw4p0DZORZJh84jHJZ5fTV9AFVJouYkhhKVcgoic5VlqHfseu3HB1csw9R7EjGoVUWoV3RLHIUkI6REaQqmkJEK0M2kHxP3F/ht5cU34uAsUygGKXBVYhmXyYlylQCwAlBRpzaUc8PcO2h4Gr3N4TgyWPEVnPyRHpzzUy6MGXIUSagZwenFNVIhz12nBzMudoOxHGkMNJULZW1ckjkMoXlFPKU0Z6QDrmkSAwSmoKpKLrCak1dLcjKyIVSFK4u1K5mVjf0MeHHgZQEAoOtRNWae3JJ5Lin217TK4O2M9BqgrQoqmpBc3CMsTItMllhjKj3w/4ap4toCqIEUShjcVWDdg1Dv2W3fkkZNqIYTwGtpBvESYSv1QqnJZfBYAlX5+yjwH7KOBKmcBNjK0y9RLk5zja0zqCyBG147xh28rlyppYwJ6OgqqlcxT5EfCokU2NqTdseY2xFU1kp8nLAj36CIWWsKsxq6dYxhv1uS9cXktL4ONLoLOTEnMU2qi1E0RmkIv73nBIa5JJWjv2wJ4UdKvaYPSxP7tHOzzDVjFgfEGMBZKWhVJboz5TZpkRmJ0VYThjA1RWmaog5C/L3lcMiS45D0UaEpDmQYvwqztdo4RwkO8dYQ46REIOQDUueQndmGIQ2mZLYNq0xqFLQZiFaIQL9dkNnHbL0SgQvzI5XK4fTe0f8g/ce8Om/+ZD2oCVog24slU6QBh7cvYfadmxXWz786Av+6G+ecNH3LJZLfFG4SqyOPmZyVgRrOTAVn372MS+7Fc+urnj7G99ADZ71xTWfP3nO17/5AaHA3Ud3GK8uSMOKAUMuihdPz5m1C0rXc3v+EhYt33n8iNO6Zh0y9z/4LpdPPme8eoYx5it2Ql01GCPOI20dzXzJ0A+kKPoqWzeo0aCVuI52SrE4voupFwL/CZ60eskyj1Ta0bQtTT/DKU2NIulCdXyKw0Au5BKIIWOOKu7eeZuT5Qlh0xEshCGyXXesbMWbdyVoRUKvPMWPDMPI5uqWfdfx8Ydf8qublzx845QPjs5gO7DfbuiGgfbuMffv3+F0saCZJpwpjNIoqkTJmd12z+XFime3N6Rqzn2XePzwhH/2X/2Yz5+9za+uL0mzCqssMQTGvuN2fY1eWB49fo2T41Nm1ZxKV/j9KEjc/Zb9vud2vSMvEnkIbNcDq9tbrscVjz54wL3jM46Wx8zcEXEsRO/p1iO933Nx5TmcGb7/o/cJf/4xFI3fj3T7DtuqX+9yV/WMoetQeUdTIkorooKUFcumxdWNkMJKwikr9C1jiTlJBzMpfCV4SVLO6tZR14nWOHQtMaxGKTR6itsU1vGwX5HHHrQGY2jrGfXsQGw6Bayt0JOgpht7NutrjFI0zUzsTsZOSVUGoyvqXJNTIoURoyzaVGIBm/brYwiUfktTtRjXcLu94fr6GQaFcbUEmVBw2pAnL7rVGVMSLsOYEn4UYI2x4tOnZDQGrJk4IxPRTAnVTxLkkIARV0/8bTUFnIi3m+CJKbPpOxFSpSwHGRGywHBKHrFY8oQTVVWLLVBVNbaeM58f0C6OSfFtxnFLiINYvHLBuApbz6irGa5uJXVLK6pmJuynMOKMobWOvut58exXNNWCo7NjXHuER3RNi9mcum5FdZ0j948a3n3tAXeODnh205GHDfVszur2ll8+v2Xfi4OhHzx9TLgcUVl2vs461LyRsJ0UIEjoj60blGrFIqkUwp33gOTKexwqwLjv2SFs7UzGWIVOEsUYy7S31waqBXaeQVdoU2G0xqdJiW0cw36D0gWLIg97hn7LGEeS75jwcChTyURLOygj425F3N+QRyE0StZ8Etpb0ZOvffq9o8TKpSu0lTVU7wMpibVLaUfRDRGDiQHfb9hmKUKVUmAajJthnCaOO0pQuHpOPwoz3lQzFrMlyneEnCgxolQm9JE+igUvhR5nK7IfWA87boY184MF83bG5vKcmAtnJ/fpfWKfI66e0XV7Qkoo05BLQFnh81Om4rMkfA5Y1zBvW0JVEVMklsSq82z7pzhrmc2WaDsnFUScWiDliJkw06pkfMpgDFW9IJeCCRMTQVshKo4DuR+FJqkVJUoufV1ZAiJSNcqILkIZbKlZLhdYN6MfPd2woTKa5LdEPzCGgWyE02HQKGskdbFkcrE07QJrWwHtlESKUSiHyaMt/N433if86nPqSpFTYSww14ZFk7n3+CEqRNZXt3z2yZf89dMrTh+fsPmLD/nV5+ccfP1dKiugnKLAWksFfPaLX/DF5QWrOFDNDqhtJUru80uev7zh4uaWmXPMa0djHDsMTe3QRaahefTs92tuQ8+jx+/iX1xTfCaliLY1h8cP2K4vKLnI1C4EFrYG15J1RRw9qb/GGSvhRqGjspqqrol9T7deY0wl77exzOtGQsBywOQRDQIWs46sFLZqyTFiA4x5T1Ca2bzibFmxOJyzaJakvZcGog9sr1d8ernitf/id1i6FnIilySf8+sV6/2W7WZHqAyLt8/4L3/nA8xmj01b9tcrdvsdl+uOO997h6P5ElIgKkUJgehH0hDYrDdiexs6zN2a3/72D/jTf/kTnvgrlk+e8ebdM44PZzzIhyyPjtFKMw4926HDns649+Aep/MzjDKoVFAe/OAlHXH0jL1ntdkymoF+v+fm8orloyO+fvIud+48pLUzKhxhyHif6DcDNzdXfO31BaH0lDHy+UdPiDlBlyAputFzcufg17vcg/egxEbUjx5nNMZVGGXwIZJzRymZIQaiD5RSMEZCVF6pko0R5bjWmjTZvJS2aOPQSsRYISXC2GEU6EloZqyjqqbRXxHMqrJ2CpUJJD/g2kqsKblhuVxioiePPUo7hrSnRE/dNoRSJj+w5ESX6DGmYG3NzeaWzcUTGddPu82cMj4O061rwTY0i2PaxQERgf93uzU6SwVr3BxlHbZUaNMI/WwmPIDeRxHBpSAHsRGLmR/2gEYri3EO4yyzdkk/Bny/Jo0DRWW5NLSZvP2G2tQwdSPKVJPKPlHyhILVYJQVRTJSGHUZ1JAwGmatIG5jTnKoFyVwlxxQIcrlk8GlLFwCZfDjnqHbs95usK5i9IHV9ga1XaG0eIGdVsRxxXFjuHd8wuMW1OqKz7/8hKvtnmHYE1Lk5vqaISk6P+ALYBqOj+7SHpyQlGUYI2HoiWFHQfbeIYav7JNj9pgy0VO0ZghTXoGzWF3QRVYDGUOcolhLVqAcxhpS6MUP3Qu0xRiNVokybBn8QMkDOQfClK2OsUIMLFBKlEu3PhQngXECcIqBtLuR9ZNCVh2TjU2hYGLLC9tAS86AdpOXPn81eRqSATeTsCHX4GZHUxgPhGFHMWCaBlfPqOsZdTPHOYtVrwAgkZSLxOaWiLUVQ78jjR1V1RJKYfSSZrZoZgzbK/pugzLiWAnDDpUCPvaslAFXkVRh3a0Z9gOJjO735KIwzQGmmqHGveBj/Z7ot5AC1mihBZoKrwzaNrimxepK1jYhELqR9bCnqmaQC2MJqFKoF0fMF8cCtnGOrGvx4peCzoEIaOfERTNBc2JOFCUJhVkpQizE0aNzxBpHRGOzoSAo3zEOzJueqqpZNg1KQ9QLsA1qIl6SC8SJc6AdKU4BUsWjSiKkCUGrFLaq0FlcBJX3rNe3YiskQ0w4Es4mZhS2V7d8/uVzrquK3/uDH3L+1x8x9gEqS9021MCgFPPaoLLm5nLNs5sbOj+C0RycHJKGge1qzbrzjD6w2e+4+95bJN+TtaYLmcpZnFP0+46bqwtUHHnw5ts0KXOz2tCnjDGOtH7BweEhbTtjv9tNZ7iZglwCZjZD4RnHjl3ssBRy8Jim4tCeoRvJF3eVnGNV7XB1g6Em7bfCHdCIeFVB6vfsV5dU7YKMgsrJWrLRLA4WtK1Bh4Tvtmyv1+w2O168vCW//QYP7tyHGEkxCPv9ds3zZ8+5HNYsjg85ubPkcHFAFSy7tGNc79hsVlxervnoxYbv/uaMSjtM0YSup98PxDRy+eySdRooTnHvnXs8Or5HWPfMl47//l//guv1mr//B9/ha/dPyBG61Z5ttcMaOH39LkcHSxo3o1E1KUSGvielxNCLFmC3GfjZzz7nxeaGZpZYx4G77z3kzp27zHTDzB6iiyH5QD8MjLuRzWrHx3/zKz69+JL2rOHH33iTD75tmL1Y89HnL9kMPT5HZkftr3e5n19d0NQtTdNgakdWwlvXITCOER8GtBG1sXTfSih2VmG1pXJO7D1Fdq0ZCUPRQC6ZIXpyjFTWMp8vBQuqFDFnioqTnU4whyErSp8oZhJz1Uv6kPHbLdv1FeuLL9jePMXWFfXyGFu11M0cu9O0zVwAMUDvRxaVJaXAxc1nXF19Tuy2snJIkx922n8rawWaU7coCv1uxTgOkKTzS4AJXj7oIVNCj9ES/1dSBGWx8yOqqoZcySGvBN9qKjmktKkxOeIax9jvGHZrIKOKFgueUZOSdPL+a4tCeMhhc0maEruMcwJzmYh4cvDPsdbhamGCK1eTimL0AyYLDzzGQAgeay0hykgupYHbUZwS3X5Njj1OV+i6xWhLVTXYaoGzDq01YVjTDjty6LhdFVbnX/Cn6xt2XUfKSXbvhQlRLHa+gqxGAMbVMfXBXerFPahm5KKIWgnreRzRqgh9L2eqHBmHPSmFr5LdsBaVFSEPKNtiraFShhAyRtvJFQ1Fayo9w7maXM/ISexyw7CjUJFVJcjhHMlKo5x0o9q66cAX+xiT/bCUKVZ2CgRStoUShTanhP9flEO5eiouRaOAaVHWoHOZBgBFVj/KoaoZ1rUSgVtApUjTHjCrFxL1qo0UJFqjoiCTYwkM44gqUC8W3D07xsfEvt+TksIuDsl+ZFYpYfGXQu83zBYzZhVsr5+zH1aUJIXGOHbYqkV70KahH6P40DHCm1AapQphfyHM/mEjGhLbUFxDMRLdW0JPKT1q2BIHiZnVU+Hlg7DxQydOFYUgq/fbC67CgE4BozKzZsHi5C6lmlM1B7j5iYgftSLqQtU05ChhTGoKSyIrNDCGEW0NtasgT8p8ZdDGMObMOIxUKqOdpa0XLJY1oAgx4kPAJ08KAzZlYqVkb58iMXgaVagm37a1RnRJJRI3HTe3NzRa3nJlDJXyHMwM+6tznnz5Es6O+cMf/Ab9Rx/x7z56Rn3vhNcf3qcxSlZUqjCzhv0ucHVxwWqzI6WIXSw4Oljgdz1XtyvufvA27q//ilTV3D25S//8ijj0GKUJKVGjubi84tnVJe++/y5LW9FdXzOQeeub79F99owSE0dtTW0MuyzhUkUbchwZtpc4WxOHHRSPUUzCW0vFjBTFvnl0vEDlQtePmJyoAGcd3k2NWBKBrzGWNI4kIsSEbSpm9YyDueE771S8flYxo9CfX3J7/pJnLy/48PNz0r0TfuvxQ3Qo7McdyQ906zUvLi4Js8L73/omj87uE3eebrenW2/oVyu6iwu2mzV/+ckzFh+8zmv371LGxGazYre9Zrfesx06Sm2Z3zngrTffpIqW7mbD9uKK73/7Id/64H/JTz98wmg1eZv4k7/5JX/v21/HtJY7xyfMmganHGmMhDKQk4RA9d3I0A/cXq24ut7wi08/5/lwyT/4gx/y2puvcXpwxmFzRNgN+H5EF03o9ow+sN13pJJpTw75+v0GkzIf/fwZvR85uH+f9Mlz9sFjZo7ju4e/3uX+6PV3cdrISF3Jrs2niLKFaiaHdeVkX6yBVJi80bK3tGZiqZci/Pcp7ELONPGMG1OJhScLIEOnKJGs1lE0BB8hDpLSpBRQ48eBi5dPBFu7u6bfr1BAPV9SLw/kYLIVMSX8uGe/W4uFZmKYX/me1O8lUjRLwpZSimIk8Uobg7Y12jViHYvTi11kR56z7J1yEmtOnhS85ESkYIyDak41PyQrQ/EDpq7JfsBah60amtkSpaHvtvjgGcY91jqqxQkguEXbNIDCOonAzftbVArENIqCOkkUqlYWHyrpvhV4oGfy9iIWO6UtpmplGgHiTS4CurF1Q1aSLkYq5OxRUyCQ1qJUzjljxCqMIRL6Nb0XwVeKI2k+ZxgGRh+J6W8tehK3iTz/nCbLkbwPKci1e7u+wgx77OoC1x6ynJ9C1Yo3WsmINvU9baWhqgRT3A/k5Jk3C+rJDaC0kelOTmxvr3Gq4GYzyIqcPHEcSSEwjgOx36JURtcNul2SQkKXAZUT2tYiC86KHPbkKMEzJUlmuSSkicJWOSMXW06UsJXQG2NBt6LctkKtK1aS0optUTi5DKz5aq0lTo8GbRwqyj7bGAUa2vlislxFlHW4Sg7NTC+JeyhaV5Oix283PN9tsQZmiyVlc4mKPZiazWpFDiPLoyW/9d3v8+LFBTfnK6HZ6RZlZDqxXBxyfHKP55erv6X8WUulrVjgXuloyChdYQ5fR7taJnZhoMRuQgzLXruURMJOdsIgITtlsovCVyx6FTzEQXzDGpJx+HHP+uKZ4HRtTdss0E7WP02zoJrNaesl2TiyttJoGCgxUxuHdZUgfIvCGYtxRoosDNZaWZ1ZQ8yaPPQ0VUVj5fxpaUj5QOBC4rmBGPEpS4ZBFDgTFJQKfOvRMfMv/oKsRW0eMsi8IKL8wM3tNe3dM773/d+Em5f86svnfHS55lvf/oCz+YIUM6Y21EbhQ+bli0uuV1v6oWMcPXcenDK3lqHbQW1548Edzg4PWR4sCPuOfrulGzoqq+iHSN/3XKx3LI5POZ0tGFY3PH36DHV4wD/+h3+PL/7P/5KXl1/wy9UtYxBxnHUSR1y3c5ytKNnLM/OagAIr8cgoLc2aUuz3nYyibSUaBeRzK8/eS4onBWud6LOGgTRE6uNjaCKLmeGtA03b7wj7nuunz/ji+RfsFzXv/8F3+dr73ye7hnHX0W9vGYaOy6sr5o9PefvhA+bVjDpW5OjJ3Ui32bBfr1jttry82nD23Tf47je/zrFt2a1u8bsd29U1vYbm3oJ33/oaJioaGnLIpLHw8sklQ/eSs3tLvv36GfV8TgyFlRrQVnF8dEKlKkjiJskpEbwwRkLXs1/dcnN+w9NnV4wEskmcvXnG9779HR7OTnC6IndBzsWiiGEkxQ0pG4yC1e0WrUZ0EtfQ6ckZl+tbju4ecVS1XOYVs3nN47OTX+9yd9gJ7SkVvVGG2lZoNyFZswA84jhOe/Y0RXtqtDHkrCSIIUWxWKWMVmBNNe2eDbp2OGtIKYvn3SiyCbR1Qy6Z6DuxXoVEF0dubj+l314TfSe715QwtqZuFyxPznBVRSiKsduz364gShBKCgPFd19hTQVHqaYwDSPdlXGiXm/nwq2PmaIU1olVKe7W5F6CLUgy8hUh2gS8qee42QLbzKnrOc7VdP2eerEkpUzn14RRCHeqaii5YLUjtbWkmGnZPRplhQAVRooP+O1Gvv8UyGkUweCrxUfJZCI57qR4SdMF+pVtV8bCyjUw9qK2NpIPIBG+DWEYiWEAL6AhcpD/CdR+Op4gjGtZmYyWEvNXXwNt2OwH8SQzGeNKwVZuCqUJXxUVr5LkwEwOcyU0tSRWOmJkvb/F+pG6rTHFoozl7OQO944qkjGcHB5QTIMvhf0QUCGx3uy53XWEbk/IkWgMYwzs1tfkcSQbI2Erk5fezM+IfkcOA4QV2lZSkFih+uUs04bigyjiVQWVfC8qy289h04KIWVIGDBzlCmgHMq16HohqxGYCi9ZW1kjtiIZ3EpgjrMVxjUYozGzGbooZu0M5yx+HBDqWoAQ8KO8G8n3ROeIORO6nVw0JU/i0JGwqxkHz/Gs4s7ZGb/YrcntIV0f+PM/+iMu9x2Hh3OiFlyrsZZSzfGq4dlth3W1TFtKJA9bxpSlO0cLiEoJ1a6kQPIbGHdTAJGE2SjrJIEuiyjLNi0ZJR7znNGT+BKlhLU/2dCUAhHDiJhVG0Eyp6LZDwN6HEHBdnstGfTaMGsXuGZBLoY87Xcb5yjJ4ipHTFCoUV4AT1AIg8Y5S6MNRouI1eRCDD1Ja2rnmNVC/MsocgHvR+qYSalisE7U5VrR2MS9JqB8z2AEMpS0pjIG329Ic0d17w7vPnhAvvycm6cX/PGf/4qbMfF333rMQW1QJUteQISw61jd3tANA91+pIuRbzy+j8Vws17THC+ZO8fycMGsduRh5MsvzxmKYlYM2Y/0JbHbdizbOcPNisvzF6jjJW88esyTv3hKMzsm5s9FYBgk9CkXaJqG+cEBs9YyaypCUPS+AyJoWQsZJWJoSib5PAl6M7U100RNSRroaOjHbjqKlCRmzo+pjKGant+90znHM033xVNuXnzBl+cXhMOK9773AY+P7uP3K6rDh4xDx8X1JXlmeOsHX2detSyrhuwjvd8wdHv22z19t2e33vD0/IZytuC3vvUOczeX5mvYc72+xB7UPHz4gLPjOxy2x6QxE0eJRQ5+4JMPv+R/+ulPODyb8fVHJ7z/wZvcO5zxO997n+rhQ9qqwSZFiYmUIyGmKSDG47uBl08ueLa54fT9E6pO8ezFNQ9/+JAHh3eoUyUrtCTpiyEGdE4EX8A41hd7Lq9WYCSjYRh7Vje33KaB9xYNdw4X/PJ5ZL444mC2/PUud6OVjGO1qMWHoZOghFTYDwPD0KFtJqGpqpq2bmmqdpJ1lelDZDCVlfSlAioXrKnkBVAKqwspZ5JWzBZLyApr5FLdXF2hVOFytyb4jtjtxFeuFJiKylY0Vc3i6A6unTMEz2YciRNgR2tDYiRNh4myFc6Kd9ZYJ5a3Wl5WayuMk+/TYCR5a8J+9sOeYXNDjj22rqQrA3IR6pQ1jmZ2QDOfY62VNYTS9OPAcjkx4r0kOBUKrqok1axAnna0ta3IgN93ZD9IPGoS8lEpEZWmC3IKOOFVgltO4v1VeRptGrR2FFOBqSaL2iTiKxlFmqYogqUN3SgXWZ4uhfgqt92gjWgc0K+mL1GQnlmiRZmsQuQo/m0vzoSiLMqJpzmnMImtADOJy8p0xbtpTJ2F3S7WuwDKEcY9Lve89ubrWFdz0lTcO5awhxj32CiITBtGwhiwDiq3w1SB43uv8Tefv6AfG3xqMHOhbZFkFaCMZRi2lNSSlZXcdTI+JfK4x9UN1VwCR3KSriPEkRSjFFUFWblQpMvX8s7zaoJT1OTaEKRuCj0qZxQWopdkvWkC8AqJKk6UjMoZmxRJGcahI3npgsY4kmKQkJ44EIYNYViLtzwrKc7UxGvXSv7OXqiGw9ByNSQCkdo6hhF8trh2yXa/h2KwB/cotsGQ8PsNlD3JCFxGmRptjzDGUYKXnAQjlsoSJfq35IByrYTaKA1UMlXQWXDApVB8x3x+QFIH0umkSOpvyWFHDvvps42ITQvk1KPtdBBqQfzWzYLiWmIRyA1ZZKT7fkfp1lNonZdCTQuTYT5fMD88pZ6dkrRkJhRdUWlHCT37OEqjMo4CBlIFbRuqpmZeL3DOUUphVtXUKGHQa0WjKlolUctv3ms5HW546gM+iBMlk5m3mYsvn/P2e9/h4eESvdtxter5yV9+zH/86Euau6fcPzlAaxnvRx8oES4urlnttwwxMoTEMIy8+9ZbhK7Dzmrunt7BX2+ptaOKheuXF1R3Tjjt5tyeX3C13uFz5vj+KTlHrm63mONDHj54SLzdcHuzo1jDg4ePCaFnGEf6bpzifCEXTVFC/Uw+yJRGKYwqaBLGOiwQSyAbAR25ugKtCSFNs9xMzoi404oLoGpm2BiF8Dd0BFM4a1vi83M2txesw8DxN97gjTff5sC2GA/dMNLpDZvdwNH/h7P/arYtO9P0sGe4aZbZ9viTHpkJoAoog2Kxu0l2k4wm2WIoZC4UoZ8rXZAS2WpT3eXg0ufx2y0z3bC6+MY+aF6IEQIQCCQykSf3WWvOMT7zvs/78XMeP3jASdORlog/ipZnGiaWaWRcRvY3V7ze37D57IJf/eqvWB0TszaM+4nduOfskw948uAhq2aDRaFiwk+SAz+ORxbv6S9P+N2PLzG3Db978ZaTf/iOLz95wP/wf/tX/HL9kDILECuFSIozMQo69vb1La/fvUU/7Pmrv/oLVjiOL/acbLc8uTjDRmmXlnEhGwnxisEz3A7c3tyxn1/TbXv604Z5yIyHHVe7O66PB84/foJSmS8//4C///pbHlyck33h/9e//ncv98M4ibpc2m1inLGaKv5a0+aNxKQ2HVo52X8qLXx5LYe10wavCiHcjzMLOS0Y3WGcJUdR8bY4AeQsC4fhhv24wzrouxNWqxWxbdCnp4QKnbC60JmOHBPLdGTY32L7Nc5aotWUlAl+RJdMuz0F26CNpXGS/dw5hzaqHoYOa2WV4EPk9u6KNO6FohYDpUTafsPJg6do22G1RTVttd5AWmbyNDLvbohhlqAOXQNZlBbvtXWoorD1MsvLQlGCK8zRMxWhaIUQpFc2YqWTtK0g0xMFRRfZW5cs/HdjK/SkMsttg27XmOZMUuOUqrzzICrvuECaq3Uno0uUF7GIxVGsWoIoLSWjqp2opIjWjaj/mxWlFIijTHRMJ4WGUqL4L+JLz8qgutrppQQ1MUzCWHTVWGiK1hSzQrsWbTX9ek3XdaTDa3p/S2PWpNny6998w/nJKcdUCGnBoZhCJPnA9z++JM8T56cbXvz4DYeQyPRYe0q7OUEheNZ59mgl6WKuRHI6EOc9bduRgqIsB0xa0FYzLxPWGDANfdvSnD6kbTYicAtRol9VAW1YIiJqLJBUhlIzBRQksxZdhJFikHveQBGuvCLjjBYxac6Uur81CVEv+0lId35gHt6RR0mLu486FtFpoehSpzKV+OY6rG1IxYBq0LYQaVltLGoZWOaB0mxIGVbrE0KBtEzY1RkFhXOd8OnRlHmPn48VCxzR8wwabHNGvFfvKy2XfJyBUbQJXi7aXAqRzDxcoSuUJlcVuhRFMm1SSGFUKKhUKGkBncBYolbkZSdsdyP6FWUswReByCjB2oolNglqNiWG4zt4+52k91X3S2MbSgikklmfXLA+vcRnmdKttqds12tss8JoS6zQrt0yMB4HVFiARM6em5goxvDFoyeU4w05zlhrBLFsNceXLxlL5vx8i0mady/e8uuvXvG/fvWCbB2ffvIBZ6sOqzQ5ygRwGgeO08A8Ttzc3uGjEABP1h3DcGD76CEuwdXVNcdlZr870jnL4+cPOfz+Be+WmdvdwH7y5LbjOBx48uCCx5cPKcPI7dUtu6OkLO7v9qQSJefCObRpZO2IrOBQYjOUxkIKV6WdIH6VwhVDSJngF+bjgHcJ165ZUBQ/QbUkaq1wTV/R42uiH/FxoXcdbRk57q455oVHv/ic5xePUFFskfu3bxmVpWw1jz59zpPLBzQZ0rIIxGwREXQhMR8nlgKbjz7g+UXL80crLpRjmWb280B41HHx0TOePnxKr2TtlmKk+EiYR8Iyc7wZ+Op3P/DVj9+jG8f+MDFMC6+v7jAXJ1w8+4hGt6QYyDmyzAE/jozjwGE38u54w+pZx9Onlzw6fcByPXPcDajOcL5ZMR8l9nkYjhRTSHPhcBxYphmzmnn69JS+27KLju/fDdwOIyOZ8w+f8fyDJ5ybFv9oyy9+9ikHMmGa/7jLvevXsOrRSvZT1lpAVQhNxCotwqiYsLlQnCbkgkR0LpgMszYo22CVbGuLdaSU8cGz312xTOP7Ci/nTDHQtysenl5iGofKihg88zwS/IiNqVqhNPu0o7Wa1fYU49YsXiJAm35DMY5+c07TdmhtatJXJqeEnwaG4xFnHG2/QpXMtD8wH2+ZZ+EgqxqvaDdbuv6Erusk1GKZaNueOAbCMjEcbxiGG1T1rudSMFIPoqyCOramFHLy9UBqMNqRSBKHmiWPu1SUYHpP4UMIX9qBldxpZSzGtmDFh6pMI9Ceuscu1mG0laF3kI6ksZoSshQN1pG0lnhOfxDPe66Fgnb10rXV725lT2YbKOIlR2fBkcaIdqcY15Cy2EqUMEYxtiMDziiUcYR5kM+nSCZ5KUkSYyq9zhmDawzKSq74Oux4uPL8ev+OF8zo9Ja7lEnLyPPzCx48fsKwP2CM4Zvff814PMhe1RoO07FywJVQB/Vr7G1L0zjarkd3J8yLLA+O05F8vKbkhWMRMWIxK1IKLMELHVE7tIOsekrIBL+jFLmYUpix1mKUxZV7vzeCC/YTKge0abFNT9IKqzJGy0DeZEkwy1mRSyY7Sxx3mJwoShF8QJdILpGcA8l7dJ7J1M+vXuyUTM6LPG+lUtVch1Itxmpc27LEUkf1iVbJQez9JDqV1Vb2zbGQw0wMk2yktSHOB1n3lCKrDAUlSDxxxKLblrzcyo49xveiRVl7VWumEqGhUg5VEtZqjCr45QhhqTqY9P7ZAZn6SeyhqVx4JX89JRKQ5yPqXsuDTKGojHilZS2IMigc2FYcMqUQ6oouxIC3ksKYc2S6fcvN7oZ++4CmP2WaE/M4s+7WdKs1q7anhIg1GtW35E6ARzFrTPAkEg2ZkGZUyYyzTLKcznz94i3/8v/wl7Qhc/XdK/7+t1+RH3/C//h//IT/5d/+lg8+/oC1bYmVS355uWXZj8zLwjjOjLMHo1k/OKfkhD3ZcLracPfiFT/+8CNXb674+tsf+W/+u/+abda8GxeGw8gwHplj5pvvvuV2N/JnP/sp6nhkf33Nu3GgvdgQjnfyDtYFWckCBBINlSYGTzSTJEjqgtZKiv0c0EbOo+gV0SeWxZO1wjaGtlvhmob29ASTAnevXoMO2FbgOP12QxoyTaP48EFLtwykVnF6esHDk1NUBFU0y+2R23d3vC6Jn/78Fzw6e4irBV/OUTQpsTDNE/Nu5Jvf/cChDXz06SMeX37CtmnIt3fsrm65JvLsF3/CBxdP2DQdeVlETDwupJTY3e44Xu/52//wO76/vebXP7xifXFOmzLTMHDy8Iz/8f/63/FgfQkxMw0zfj7gfWA5Hnl7+4600jz+/Jxnj5/T6y3psDDvDrx9d8flx6dcNj3Xb16zPumZh5lp9Ox2R+Iq8ezZOc/bU2x3SswPeHM8cjVMlHXLk7NLztcnbLDMceJ0s+Lh5oIl72SV+cdc7oc3L3HOitq6aEKBrAy6W1WSkQBXSlF4BX6UzGvttABWjKFxLcuyMM8TnW1Rzgl0pGjoTlj1pyg0ISxYBPSRM8Rl4Xj9huFwQwijHDC2oelb1tsz+vUpyjihS4WAD5EEONfTNj2ql8Oi1G5ZKy1WpxSxztGvtjht2O9uGXbfEeeDdKrGvR+XaifpXfPxlvF2EVGachziLKEk5MralktcaYPRjpyi5IALuly6kiTYC41G5SJWrxTkPyXXSfs9Cyr84Y+1eW9PcasT9OpMDuoERWmMlpctF4WyGqczwQ94P1Z72yKCN1958yVSSKJ6rb8+RmJa0Q2qW6G7NcatcLalaxt8iPh5QsVZICXG4dotxTQyqk8J3fSUVLBO7Im6QnLmZcJYC8WgtRDMZE8tHSBhhmUiTVHEKDExd4531xbTd1xd31BqnG9YBr66vePbH78jJikM/DLLh1w7R/GQy4UprNTCkhZisKg04VIgB0WpaNFiV5ANRTVgBFWibY/rthL4UuSCKinJM5KiqH+TRxmNXyTg5j6U596iZ9yKnIOsRYCSAksImCgahiKxW6Br5Ogy4YOH7CnJvx/xqxJBF0qcqq1Iv9erKCVro1KyYHVNU0WUFeZiVyjTsmpalnkgzncc5iCC0eYE13ZoDDlMTClhVEaDkPy8iCJL7YJTqZ+tNuDOqkVTEvcwa0prJG5XB+HH24bWOJKfRURXAtpWRbt16NJWG6CWrPsKiVJQpxfUd0HJ1KrG3VrjoGml+Iz34rwsa6x7fYlpJLlOGfHeJ5keqPqcKFUhWcZgqtWQXJiXxBIP4gapIUNz8ly9eck0DRgV2Z6csdpsafuWjWtJzVqet+mAGgbGObD3iWZjYDmyvVzzeNVx9f1rvnn1ivbzT/nVT7/ku3/7O8KceLBesSwLSxRbZlgCMQSGYeQwzSQlArXVakW7XnF5ekkeZ5Zh5sXrt1xPAz+/3HK53TK9eMd4OBDTDDlhtWYuikcPLynjyOH6mnf7PZ/8/HNe/7BnGQ9/0NWUaifUur5KRVZIQRIqFVUprzI5xOqyKSwp1emnwaAxGGzTSp6FsZiiafo1ehqg71itN3RNx3I80BvFJicO48jlszO2tocJvF5QIXK4veZ6Gui//ILz7RmOjMoJP3tZk4XI4hd2V3d8/+0rXvsDDx6ekbJnzguhPWdWC1dLwHz0hMuTM2zOAi9aPEsIHA87psPE1d2O292Ri188Y/y14u2//huGZaxnizROzjmMMizzzLgcWMY9t7sdpYHLnzziyaMndKrFuY40wjweOB727PZ7zj68IIdMWCbGBVLUHMPM+nnDk6fPuGi3NMed+NtvX3N1c0tuNQ8uBJHrdzO7U8fD1Tm7lwOhtzSTJY3DH3e53x7eUPzEg7MHnFw8lSAVpZjizMt3P5LniRADzrUyUjWWrrH0NXN9CDMHfy1VrtEsy4RVBtd2FQRjKcaIr1orYi4cjzeolLBGQ1NYn6zRCJ7SmpainXTf+wnTJJICjaGpLO6QgmAodZGYTiQ7PYWMThB9xE9HDuMbfJwlBauOlI1dUYzBNa3EvlJkbVASGIeuSuGCgrYeHimj0vK+Y8hpqfs26XYUUIII8FCQ0yIiRWQ0XZDLVQ4iUZLX9h7TtGAbrGs5ORUL0DLumXfv5KJWBuOcjNGNJk9ePOH37oR0v5NH9rBFU4oTaEu9BJSxaOtwq1OU68k5YLVCZ0nkUroHJbtqZzt003B2dskUxDKkSpRLqijsqsVYi/cLOSbmIJdUYxu0SqQwSSa6H0WMFhdUThIAZAw+JlCiig4xM9/sJbgI6kUdiMYSgww7ZNJR0FXc06xXNMZwHAaBwxi56IWrrjjMAeXvaLotTXtGs37EvH5MLhlVFEoLRCXNI8syYNsOa1eUFN7nhRddKMWQsxYcrXOQQxUKarSCmKNoCIyFFMjZ15/fU2pcagnVkQCy1/cHcWBw/wiY2pEqSUJLiZypmgGHajuK/Anpak2PdltZ0xhF127kZ5n2+HGHKlEAQ20rl7JS5CLje5zGdoa266VYKkES6eIiB31KYDTarjGVCCebVE2KEyp66ZarU4YCaTkS6s8nV7ZkVeu2xTQG3W4lyTB4kRxmatGaQAnemioxUboRQajRxBwxGZp+RX95Aboh5cziIylrlHE426PbtRQLeZL0uxDEUWEbAUZpizVZwpM0DMNEDhPaNWKfTBmVPNaCMhndwLIk5ps32OsfccjluVpveXb5kJvXr1imt8xRKH6t1ty8veb06Zrju2tudzue/uJLvnhwye7FNf/4zY+0ZxuG2yN3StM4R9cahmPm3fUtow+MQZ59o4HGcnp2QYPm9uqGb75/hTo9oWjF2ckJZV64u77man9HzIGiFInM5z/7jFXb8PqHH1lU4aOf/hRzHBmvb2XFV2oxavR7iqiqHAlVMiVGEb0WJULOtKD0hGnWaGVl766Q6aFxYGXqaEumrbySpVlJxsLplu3JCU4bZm25uj7y6nLNn/z0ASfnHXrJpJRI3rOMntsh8MNh5p998Ck6iTA3p8jiZ3JIvPr2JVNcOI4zPF3xT55+SjiM3I5vSasGZRWbZ884TbB59oi16dApiZ/8ODKOM9/99gfu0kj/eMOHH37I5eaM5ZuR1nboUNktVtFvWh48PCeMA6loog9EItunpzx5/BSLYbs9RQWDnxcJVxtm3r284eX1O/rFcHMr/vqjn+lP1jz74hkXqy0US46WKVimBFe3Ow5x4GyzoomKaZp4eXXNRw8+JARPf9pzMZxymMQS/Edd7sO77ykU4jxzdbfDuA7lHO83MqWAUbJv9YWkFcnDPl9JRyt9xf+GW12UxmSxDuWSmYcFlcReMsx7AYBET6q7RpWidCNVhe+Mw/QdKUfaYsgKlhDRWrNq+yoCkxzqcTyQllkCTuqFG6Psl1QNq9C2F88wovAXJn5CR9mpvr9JalAJWohz3IutUkSRSMjoUxsrQjatKanGgSZfRW/iXXeNhJMoZSjUXPUouFiM7MmlWOpQBpyBYdgT5okURglxMD3aOqkqU6SkLOlUKVVwS6r51la+ZqVQuka+thvpnkwNxkCwuhJ2It54g7zwaCUiLysjToOiZIPTkuueo7gp0IbWaYZ5IC8jJkdOTeI4H5iGWwnByXLIqiKZXkVBVpY5FnRMlKIpBY7jJAd7lu7/fvcvymrp8lRBLj5VFfpKpj2+KMCgnfD776OHtRLcMCWTlgN5GQjHK1x/Jt9FKaK2btYk05BDTy5VZOcndJjk8NIilmz7LdatKijHynQmF6F+VT1BSZGSpWssSsvnXsQtoGxTbWGenGZKFOGh0mI7LTVo6L6jxTpU0aiml+9MS3SlMg3adeimRynRlLTOklPiONwS40IuRTQxpqm8dItW95bIhDWgS6LMe/Qs+3ytNMo0FLuWEbjO9bmKFY9sRXhGD3YFJQi4JSh0Y7H9WgiKSZwXpeYMyORGunBjG3lvYgJdkdEo0axQp2HKIrkwEousG0l7C1nDuODWK4zr6FsnnAAsbWPp1xvWrWMZJ47TUJ08YnEzVpOXiexFf2KMZms8McmqKswL++wx1jA7y3p9ItAoAn6ZmIMn3EOK7m457K/puhmKCKtktZW4O+45yS3HsHD5yVN+cr5hev2W33/9hv/1N99x+vFn/EO4o2kcJ33H04dnXL/b8eb6hrB4YsjoojDa8PM/+ZxHmxPCYeDmdk/3+Jwvwhn/cXtKCYnrFy/57utvaWzGqAIlMc0Bd9YwDDtU1/HJxx9ixpmXP77i6xdvSVYw21IIK2xjaRqLSqJ+TyHg0QQfmOcg1FGtaBspxkW46dA544zDtT3t6YbNeoNTFn/YM00Tw+FAKuIIsU0P2WK6jrbXnF6e8OjiAZ1TQnccF47DwNXrW95Mnqd/9ksutmfkJXIIE2kcGeeR2zc3/HD7Dr1yfPrlZ/x0fcJ0vecuBIrPjPP0nqT36IMPcW1LWmS9tRwnfnzxI7pR3KQbPv2LL3h+8RwVNH6/8PrFW0JONK6V4tYU/vKvf8EHF5d4v+AXT3fS8Wj9nLbrWDVbsRF7iD6wjBPz8ci4O/Ltdy95s3vHR4cTrkPErR0Pn1xyeXLOdn2JoyH4wDIthHEhhIKzPa1rWI4Hbo4HbvZHDga+7A3bbsPVux2md2z6Hn1/Pvz/e7nb/gRtWppuK2rexlG0odEa3TTCD54XeSG1JIlZ51B6RckFp0SI4VOkTJ4lHEkhcIhe9pJhEbtXjRgUpZnYkO67V631++rfuBaz7vB+wo87hmWRS4PamSklARI1TEDrqsquvmRd92xaG1TT1ouiQBA1fays72nYoWKiUKjWdkwjStBSefcAGIO2FrTFWYNyTtLHEsR5IC+SC2+MwzZrus05anWCrtnPGqlUQyhirzIapQyGTFiOlORxXUNrtzQXH0g3oaUzzCmh40JMnmWZ33fpIJe6tjIeV7bF2A7VdHVl4ST9LWsJz9AQ5oWii4QdWGH6+/prlyXQuA5nLdM8UHJkLojHPwVSDBgtKWnHmxv8tCNMdxgyAxnnGnReiL5OSEqm3MeWVseCsKXlI9VdD9aQl4mS6sgdsdBRoTcUhTbCoKeOpjMa17SsT09RGBpjuH77Rg7aUve41Y6XYsRYi1IL8/QaiqNdXZBTIJdRRDZhpO1WJBp021GKAD5MXe+Iw2AhRpkO3V+UTeOIMaJzlN1gCRjXS8AIUtTqHKrYbJHiThuUE7EXKVPSJBMlpUUgqTt5B3J+X2CopkebnsYanLUSFoPoOqbjTsbgboXV5xil6vckv561DYZCXI4swzUpenmH41SLQBm3O2fEzx4D4AU6VO2PSgnFTBcwSgAvWSlyu4KicBqc7YlEyIvY5WLEWFhtT1C2FTGSX1BF7JtaI1ztLHkS5CQ6lSL/Lbn3Ed1tUN0J9Jck48CIpdOi8dPIcDgShj2+7SgYfFhQGkxjyctA3t9yvH1JOFxJUUKtDl0ra4JUgEhAsWiF9wP9yQVd1wOaSTlM8pSwYIAHfcOKCZI4f9rG4P3M7XHgYjrl7OljfvL4nOHNHd/+cMX/49/8mndBwRixjSZ4T7fuabuW199ecXt34NX1jiVLyqJuGr74/FP0Ejnud4TGcHmy5eo336KNwfrI17/7nh/v9jy2kc5kYkxMPhCmGbta8+lHH6OHI9dv33EzLcSVTC8ELDOLFiYllpKlK40ebSUqWhn1/hxUdUyN1thuRdu28t1UkFZnW3SIQlNsV5giav5IQndrUtY4pSnAxZM1/+UvHrEOnmmciNPE3dU133/3mq+vb3j0y5/wxZef46IizgPTPDDd3fHizUtCo/nir3/Gxw+eoXxm3A2EJZBIhJAok2eeB1zXAA15HBmXiRg9y3Hg3eGKJ19+wH/++V/jTI8rLT4ExsPI9W4n74FRdI2l7R1n52eoqNBG05/0nF9csG3XlJBk+qNqxz7PzNPAOBwZlpHr/R3745HvX37Fz/7yZ/zk44+5WF9is2G6nUltYj4c8fNIwZOC4euvXjIsB+4Ot9ztDrzYHfjzf/EXPO623Ly+4uA9QVu2ZydM4Y/cuauqag3zAZpVPSCyVNyLjL9b4+Qg8jOpJBZ/ZDrcijI7Rem4qZdo3YtSL1yxAAkVDapSVslOUde4yFwS5Ix1PdY1jIc7/HhAp1BHd7Wjrmrve2EbKGl6tKqdP9I5pEWENmEi5ySZ6c6Ksts4Fu9BW0y/QTmLblpa16CaNTEu4ke2LQpFykU42ErhrPhgJX40oy+gdYYUM2sr7oI5JYy2+KxEbZ0Wpnki+QXIlLBId6QSrmmR4JtA3F1XhnwRhrOB5EPFY2bZKwKlKFSzEryvMmjXoBtH2/TkVMBP+LQQx0xjLM6tQeU6ji7MPqGDlqhWrelsw2azIhfNbjwS/USpqWqlFEpZCNOBMh8F2rEsshemCIvfOZZpj6mZ5ynKJa21RblWOkMURYuf09hWAopSoJRZFNiFesHXzO0srATXtLLe0FY6SyOZA09ONkyl4e27d+imJ1Q1rdaqjo15r2PIIaC1xvtRyF6uQblW1OZKk/KEpuoRrCSLLUmsh6YE5lEY1xlxR8ScxLutDegWrQsGDXGm+KOEIGWq5Uueb0V5z0wA+Y4LWoRgRvjyCrGG3u+RTdNhmo2EqoQjy/GOwR8rw8GJY6WkPyT32Q5lZLfcpEiab1mWo4BYSqEYi9UNxfagldgDcyZqI2Nyp0H1FUQkU5xUEjmMqJzq9CJWupkTAJVpmOORxhqU06KxMZaIIWWHKQ1dv8E1NcCo1M64V6xLZhp3xGUkxUYmGHYjn5ltUO0a021orcPmgM4R5ll8+rpQGkOMgcNwSwqBrMAomA8SbhPGK8J0I1nYNQOjZIXJk7g8MlCK2DwpzPfrrWYNRiJCo+0kVEsV2uLRRFIsOC0Rt+NhZI4Jup5Hp6fMtxM//vCWv/n1D9yWzGa7JcfM9fUtXd/x8DxzvH7H3XFk8ZEh+Pp9Wlxj+PD5E453VxzCxKPnTwg3O169fsscPW/eXvPhxx/yqbPc/OO/5+owMowTJWU+/OgpTy/OKccjr374njf7PafPnvL84hybC2SIfmFeJsgFbUz1uxcs4PoVzgpES1IgNUYJs75vHI0z0KwlgMhY8rwwF01iASUslGUeKAr69el7TUe/cvyTX3zAM6dJNwfCtOf65TUv3l6zbwv/5L//c86aM+wSmZajQGnGPbo1fPDLL3l8+YBGWcosqZJ+8XhV6E9P2OSJgx85zhN9d45T4IeZw80Nd/s7Vo9P+fRPf8Llg8esWBH8IlGv48Ttq2tujkf6dc/GKeS3rFA5YZ3B9isuT8/orBPLtILoZxEXzjPjYWAeZ27e3LFb9vgYUFvLT/+zX/JnX/ySvrS0piMtC1EHdFG1kJ8p2fLq62vevXpLOtGYtmd3vOL8yTlnrmH0I/2mI+0DSUPbOsag/7jLPQ53ckkqLZQtgBKZ5BSSQzdnQr5XvcZqbUnShSB+21IDXpQSAZdpuhq1qlApvr/AKUX2glriOpXWpFJEuR498/FO1MPR19F6+cOaGtn3SbfqpFtyHapxZHRVjkesAq2ddNxGvJe2ceD6OuYV3GujLVa5yoKvAkEKxjpSBRa0Fpw1xHoJOWOxK0vrLH3jmOaFcRS+8m6/J4RAzoolBrHYJS9cbBTaKoyVHX6OmTDPtWOqLpSSZO+bIiQZbxrrZL8Wg2BJtSS6uTo2y9IrsswzcZmFlmUMOXpC25PCgrJCnio5ixCxXb+vw3JKXF2/ISwj03hHnHY14U6+y+gPIlRSjhyjfE+1tMpKibVHu6oNsGRj0W4laX66+mBLEVGUs+SixSIYpdNTdYwuz1quX7Mma13RL/dTGRH9eO/5+tsXaCsQDacFvsN9kZAVq3VPyInoPbNfePL4CW/fXUEpEvYTpj+M/xGEbDLCg885UaIIE8N/WlApTdEV2GJbmSwgqV5UXYcqRaYo7YYcw/9mXH0fT1yUFkGjaQV5m4v8vRRhBZhGksqURseJHCeWaUfyA5DFvhgHef80ZG2gJHRWsrNWmmU+VLKceS8+MxVqJMI2sYTex/tm6gpEa3FgksjLiNKCiy1V+1EQB41KMylaKB1KFbJaYe2KdrUmZEOiIdXvQymFMRKVek+ta7UU+67bUkyHqrrIe7GkNg7TSHxoGnaM0y2aVId7BnG2Z4KXCORcDLkKf0WjV9BNS9ecExdP9ItQ1aTCIMcg0796xmWg+IkYPJO5lRWPbcF1WO3IVmFTRNnElBNtK4X+u93M6mTFv/inP0XHwrs3N/zdb7/j4OAXP33G3/x2x9EHZHNm2O0H9m8OLNPIcZmJSdZ1PiX6bc/KCPr70fMPKVPg9uaOf/jNV0zZ8+SLj/n584/54e2/5W1I7I8zISSmmDh/eM50t+P2+hbvDF/8xV+gDiPz7YEpRoZxYF5GQpCzxlBkWoqS5i7LdLFo0FbWZmRFSBGWuep7eO8w8kmcT5Ikt5a6MCfcqqFvWjpnIQacszQEypA4vrvmOO75/s0L9NNT/urnX/Csf8jtbiSnzOAPXB/vcOcrPv7oI9auo9OWOM4M88A4Dux3e0KjWPc9q2HDOC2kUihKUbwnzTPvbm9Q5y2XTx9y3mzpmxX4gk+FeTyyu97zr//13/F63NF2jq7V0qACOSRs2/Dg9AKHxhRkfRwjKWaWEAjzzDIsvPz+De/ubol6JrrIP/vnf86ffPxzLrpLTBbAl49Rpm1BYVqJF373YuTrr665Hm65fPYcfTOzuTjj4cUJ0S+smnP86x1TCMRU0GvHo588+yMv9yQkLqUVIU2yG8uJomS/KOlkf/g3KFSuFW99Ge87CbTs8Kxt0K4hK7FVlGIEQasUupHDRlNEcZgLOie0VqSUiYdb1LzHKIVq1ygnwSYYGbl3a/FKGyzKSjdnjMHq+zhVU5nvSDa2tKx11F0kQKRo2QUnmUIs00TRSiAMxpKUoQCddShliCVLDC2GkCZSKQxJDon7Szz6mZQiuAbnOmiko1apoymQEYtd8AtKFQnMyHJ5S1dR8GEW/3AqcvEZQ5gmuRj0PUa2JZVMLBkVi6wsYqDkIIEdtkGlLBQ921NIaKVYKS3TgLSw7A6iJo2BMO1JyySglJSgJNnxQ9UaiEo8U3nxWtd9swHl5EKyLcptKU2PVg6VEqp4AZXoRjQVJdQEtUkiUmtMKjnK7+1eHV4v9IIIJCUvQJ4jbTvavpeJSAZnW1TbkJcrDPfjfEhJyVpFCZ992F1DHUsrrQX+Uy93adwiKURYYtWJJOnqqOIj04kGQsnbALV7p8jlXbIo87VCmZaSvLwr9xoCZ8W6Zg22aBnTO9mf57jIZ2aMeLfjWKc8YmWM/kBeavSpsZCD0AFzlEOpCBo1KSMrDuVQtqsq9z9QGkvKgKdoBUWKCWU2lPvuNUaSX+r4NZJdL4+CUqAs2mkwirgMFETgV5YBazoihWxy1dEoTCMFuHUtzoBOiVgEnJKI5FzIWaNzwdqerFQdk8tZY1S1FMYJaxXZNKQ4k5KnkDD3xUrTU3RH224FK50LKoyk+UZidE2LN55SDjINchbSQrFO3pmU/iBwLQKfFbtYlnCqsFCMQzuNawpd10BrUI0lFc1xnnj8/AGPujWvv/qOX//+O/SzC/7lxw/5zX/4geNxpriWZGCJAqtSMWKMYT9KXoG18h2dnF8yzROPnn+IXjLH3Y5vfv01v/3xJZc//YiPHj0kXd1x/f133OwOAr3xsla4eHjBfhy4+PA5jy8foA4D33/7ku9eH1iiPK3iMlD1/eK9O6dwv+aUAjYXqnBYCj6bjYBkSqZoRd/0WCWdpEqZPE4cpiMhLJx1Z5QQwbagFX/5i+d8ypHbr77l7u6aQ2v44Fdf8PjhI7Z2zfDmwJGEXWaWEHjy0095fHJBow0qRuI4sywzyzQzjSNJZ9p1S9v2cHLB7jATl0yKhXE3MPmRx3/yMU8vH9MpS/KRZV4oUyTEBVUM3//jS/7xhx+FU5HBB0XXNmhneP7JB5z2W1SUlMkcIEZPTIkcZC1w/faaF6+u2LNw+mzNKq0YlsCnH33Eyq7QFEgQU9VoLYkpRN79cM3vf/stZdUyG09yik3T8joPfPHTT2D0nGy3xGHi9MmW/Y8Hdksmanjw5Mkfd7krXbeJdc2CsfVgyLKurg+C8ISFFZ+1EmWtaXC2xbY9pWmIMVaaTyR5SVxT1qKbBtdtAVHRJ4XsypWiLUYSl7QhGkN3dkFZxBJkTCMdg5KY0K5CZQwFWzvwKk+XClRpsYdYKTZS9izTyBwXQvLYOiJVSi7BUiEhdi0CHkomREGArpoOVCFriCqLF7VEctHVWVILF20wjcE1Ha2zUKx04EXEKVGJot8Yjep6SA6tFDElmkbhatBL8J7GOkruxIpVivjDe6HI5eAplf9PKuSwiEK/RDIZaxqa1Qm66yAhL66SSUvOEqcag7DA/TyQ/Si/xv0Bp/4wTi/3GFlbiYP3lyIy4cBYYaS7FdqtBS0LYtdLk3SwtQBQWURYJS+ink8iYFQlyYXVrCh1tCdFhYyuRXhoUEZEi0orur7j0cUFr+4OpHms0x9D0wnJSgiFDp8iJJkYWudYFBRdn+86iVIaOdDvVeG1y773lqv3SNkEylMjk96Pz3WzJRUN+MqC30oHERcAYS7YVgqzWijcT7oEU7hQ8hFVd/MxzWJJS/f2tFQ3FRqlWzAi3lMlkouvz66qwyxXhZmSRKesk+na/eqgCmO1abDNSjr0ImPIUryk8dVCTptGDuciE6ySy3srmuvWGNvUbkYANqlUUW1UGCUpiTkFcihkMqlmFaT7wYocOnKhmoI1hRQSsa71tCrkOOGXQMoLjdG03RbdnAssKNXLPRdSGCWGdbmjVKxrSRMmJ1zn6FY9qc/slBGbJ0EYECHKc65kdUMp74Fc+V4HUSQHo+SA8hmGCOstq76DtuFwOPLu6oaPPn/O3cu3fPvDK8qzB/xXX35EvNnxzYsdgw+QMtZpjNYcb3eo+cg0HFliev+cF1VoOsdqu0XHzHi743e/+5rv90fyuuP08gzlZ378+juub67ZTSP7MTKHiNGa7WbLo+cf8mi9pgwjVy9f8pvffMcPYyK7rq59agGlCuj7jBBhmpScKTGjnUEbLZMjIMfAUEYR33YrmtVWwEApQhUJa6dpssV7zRwLJ86x6hrOTzp++uCU8auvGQ7XhLXlg88/48nJGUyJ5bBndziwV47mtPDhJ5/w8PQEG8TGFmJgGgaCX1iOM7fvbhlt5OHZIyiart/S0DHP8s5GrTh9/pAnlxc0xdQ7TTrumALjfmD37sg3L99yO834WHC94/lPPuPRxRn9meNXf/on2CxshRQCMQh2fVpmwhD49qvvOOSRk08f8OnDh5g58+a3L2i3Jzy5eIDDkEOmLIFxnpgOE8d5oO3X7MYZ/ajw0SeXvBgytzdX7G/2XHz8gHPXsmRN21q252vmdyO67dgQyUbL4fVHXe6N5DQrJzCT4loygriMYUZT0LUDMtbRaCXkNmMpRcaHzslBjJKAmZg8Oi1Y09CvWmIpBF8IKdAqg3MNzkh2ujGWHOVQKBrK6lR2zzWSsWS5QJ02Nft5EY44hcVXm5QVoVHMCVsgKMUSPD7K/i0nQSFq1+IaCe4IOZGzoXWVeZ4L2VjWraswHCU7Ka1IaExjIUUh3hX5a7ooopICIaUkEX3zhK4wkVIPSKU1RvdEkkB86mfqihb7R/Sk6SAHXpYLiaqmTjkSp0FWIqV615VGWQ2Nw+ge4yrX21jpjpRU2WgjFeQ8V4W9IHLTMqGyjCqLES8zSq4vOeSEHaArAph7yIg2KNvJM6MMKglxr4Sj7OkrpCQXyS9XRg6PPI/y/6kdsXD31xTdVHCJBOMU0vvwjlJkZMh98VFgmQM/vrmpd66Q9/yUyUnU86K7kD+W51GGtSVmlF3V70SKh5zrELeIA0Il+Wvvdam1Y72HpYinPmNci+5PwLWixC7y7Ka0UFLGKCmQS04yhblPnzMNqiRSFM2CoH693Hb3Vs3K6y8lV56/iL/EaTGLl1vdry4syjYUYzG6q7/vWrCERQ7xBJSJSBa7n4IwheqPb6Qgi14+cSOYYZU1qhLxSYHiJyksdaLESQSSuaB1SzYFhYGw4JOIbu9dApQV0KGM4Exl+qJJwdcMhSxiPl9Fk6UQ4z3auI5a0QTToYpBDUfyeEuZb8RuGWpGQsnCGlC5TgmlgNNa0fYbXLslF9khayP5Flm/r2frOsJiuzVN1xFjINVzRwFJeTo/Qpw5TIlta8hLZBlm7oaRnOGHNzfoB2f8l7/8lPTuhu9e7/n97UioTUfOCl3gzUEipEtKpFyFogpM2/DFn/2Mi9WWaX/g5uaao8k8++gZj1685Hy7Zrza8Zu//0dudrf4OTJOnt28cPLRcz766DlnzrHc3vHm1QteX93hzze4fk3XTMzcvOd63ItOlbq/MGRCS6UplqTIZMGRO0nXy1pBCOTpSGw6mrajaVqMVZgY8TEyOsXpgwsuup7+8IomR26/3eGmOzjb8sFHzzmzK9QUmY4DURWOh5HXWP76nzzlYrXBRpmGJr8Q/cI0DIyHIy++es1rf+Dh508ATSzQKkELv7u+4fBg4NHzDznrV7iUKTngfWA+DhyPI34K3F7f8c3L16yebVl/IxPjn/35z3i03XJyueWnf/oTHm3OsUUTQ2Yaj4QcWQ4j+8MdyxIJ54mfffkl56tLyqg4HG55++ZA/1nP1vXE0XMsC+PdjqQTuzcHfOuZ4szjn2/4+epXmKVwsHfs3twyP+r5q5MNdi54E0TnMUaiBR012lncqkHr5o+73DdPPsRpS9v3GCuBLEWLH7LUo1YrLRf0IntSayzr1UbiRVGQtVw+SvykTm9ErV691xjFZDwuSOxjToEpTBijKDVDPuRCVoUcClZLalsqmTl44W0vgUImRi/s7Xv2cbtCRY1VGh8Dc5LDy/UdfbNGpYK2Al+gSF5zzAVXd/5ZFYpKcskqoCQ5bIwmlkQKWbzeCgnMSXIYpZxkz6Qstu9RGlojvmjZ68t4MedcVxhGRu1BVKspL0w1WrIED6T3grq0SOVILXJU7SSUAeUc2vVy+BuZaEhkbYPRAtvJKRPjwjIeRf1cNCUMRD+ILgEFtdPTpv0DBlfJBamMrCUk59qSc5I+VjmgoPwk6V9+fE9OyznL/tyI8AyVyX6kxFkuRq3Qdo22a4rrKX5CJV99t8jYUFlR69aOtC4HUFqSyZSWMbZSUjiNS5AONoMqdU+qLRDRBnJdb+AsWol17H6MLgLFqq7PhtI29Z8Npdp/lO3ArtDNlma9oe1W9KsVxhhSEDdDjp4UEyouIoz0AzHUNUdRsrqwVuyNYeGetib3na4TEQW6Bi1pLapk24noKUxQFih11C85wijVUKxDl1LZBrUvVqbu1RPatGRjUdZijIwMw7QnxBllBrl4UkSbBuN6ClLE5DiR/ExBIo2p8cgpJEwBXAs19S57ETMqLUhqEY0awek6y7yMWC1BRto1NP0ZUUsBOHm5HFWpUw3bom1P27QopbHW0LYNViv80rFYi28dy/GKVAZUApWjdNkVEiWFoVyoedgzDQdR/muN7dbopqNvO2a/QBDGPCAan+ToVqeV3qglujosbLIXnYwzGKdYpsDt/sASEv/23/0j/OVn/J//7C/hdsfbqyMvbmf+4i9+wf/0b/6W2UdyMaAKfauJUyEZmeNIMa348Ccf8qsvPyONI3e3d+xS4MnTJ3z1b/6RcZlQc+Cb37/k7UGYELc+cjfNDD7x7HTLs8sL9ldX3N1c0Zyf8fmzZ7i//QbmSWBDiPtBa4FIiZ5Gvy9ic5GzqiiFvtdEKXmedIooFK53tH1PUzG6JiUImfk4ME4HslLo5YgpR7rGs2kb0YuoyLOnz7jstqigCMe9AHxuJ/7jb7/jV//3/wsX7ZqyLCQliOG0RHY3dxzGgf3dwOt4YP3sjO1qxXZ1JnEOYZFJTVaYpmfddOic8V6K7CUs3N3cMefA/nZg7hQ/+avPmd6MbPuebtPx0ZMHXG57nn/yAY9OLlBREeJMKYVpGLjb3zEfBhYXOXtywRdnDznfPkIFx7AMHO8G3uxu+bR5ynJ3IOwHpjCzv74m6sIUJj56csb2fM3J5gEmWrJPJJ9pz9d88dmHdEmRa3pkjjPN5pRwiOQ6Abe2R//vXOH/u5f7k2fPRWWdRSDVGEvOBZQVMIluUFn2NZkCKkMMLItE2RkKgQwadMnkWJiidDTOSjynD57WGKw2pKzAWUrbE2LA2IxPBaPkhfd48arP83v7RqwKXmUMxRqSAteshLetFCkmljBjgaaVHG1nZacNWQQ0VuH9jFIGq4Skligy8k6CrFWminm0IaHee6iNaTEFidsMEo8o+0LxsafoiTHJ/hQRZjnbSHWeEyUtRC+j1JwSIXjpeHMVqOVYVbtaBF2q1I5NV3a48L+VkcM/e0mda1c9xvZiT1SKXBQ+BWLw+GkWPGqK5LhQcrVr9VvZIaOkYwzhfcpcUYGSRbRYlBQTFIvKVW+RZxSZFAMpzdzfzKVeUmi5/EsuZH+s6nWLciu07WW8X6D4EV0gV4+/rIQy6p6rUGT3qlSFZLqGUnehaEUOx1r4KBk7myocKwjU6H6UHad60ZkqknKgNhX+M5PjLITctgezkjCeehFI8FCD6zd0TU9rLVpliJHpMDD5WYRlFEoc5UKPUcbsdb2BaUWsNB0qqU4mC9o4+eyQA1U5Jz9vDfTQpiHlRcbl3YmswCgoWrAtpSD/23Xi5MiBmD1WFdAtxq7I2aNLFP2CXyhpZIn5PcwkhUDJXoSCxYsWRJcqOtWYbi0iR91IfoF1VUxZRNCXxENe4iRFknXQbisW10gBHmahnWlHURatJbPBKC0Y4rxGVdLeEuXSMSnAeEsMgVAWkkr0qw3GdqyNY7W6YHv6lHEeWKY7ShhFtOon0iyYa+7RvdT1EuKqSdOEmmeZLFSrrH6/79cSZVxmXNPStC195wjJo/zMzntWs2c5LOyHmeubPRnFi3e3/FfnPW4auBsjL28G/ubXP3LrYRlnjHOcnGxpTKEvntHL2MBoLUwKY/j5z79kmwqHuyuOKfLkw+dwvef/9eaalDOv3l7TfNBzdnLCq6u33IyBw+QJMfLu1TUlR/YhcfbxxzzcnLD77gXf/vpHjiHI2VndRLqSHamfC1LSk2vTU4zUxikVTCP47OIszjVYC9pIo6LrdklhmWfPcRjYPjjlaRNR4x2n56dw3GEedlx+8SkXpyeouTAddgw3NwTneHNYMB9/wAdPnsv5EhOzn4gh8Pq713z/8geCgugMH/3ZJ1w0m5rOqYQ0OB3oLjsebR+z7oVEqmNgHGfhHhyPjGFhd9yzfXbJT54/o4sNv3/9DV3j6LcND7YrThqDKwGrNONxIJUFlQthmXl3c8X68ZqPn3/MxcljlE/gFXEKLMeBw25PasGUwts3bynLgC+BMY/oVeGnP3/CA9eB67G5JfjC22+v+P77l+gGNtqilax/bGc536zxNyPXh4GDh2AS6/4S59wfd7lrLENNVHPWYI3GKItPgTFMUBTGiIiqFEhZdsnGCASFBJZMygWlFalkipV9Hlrh40yInujBth2hFBoanHbkYsELIcuHajlKkTFHYskYBLSg2x6jFaZANBoTI9YYrHYoDZ6Icw1KK1rtaLsVGcRfb0TtShbmt9YNCtkrpRiJIWHQFNdidKnccBmXplKI0yzj8BhwTUPXOJacWfyIC4K5LDWvu2Qv42pVaq51ZJ4GGYdXYImxlqSauo8V8ZlhJfZADRYR+ykK1rXEnEXApkz1bRvs+oS+38qDUVGLMQRJFVsmlulILjXow7XotkUXjSYT5oE830Dlh5f72M17+fw9uxvAiSipRNkDkzOxyKpDaSMHORpKeH/ZKiv6CeqqxhhDyZJcpmqaHm2PQvaQEsRSvftKwoBykWAdyv20WQnXvIp6SrORf66Wi19pUwu0gDJilbqPW5QTTPCxGNB1IoVtcKtLdHsCqnmvPVFKGOZGaxqjaNq2TiYiMSdiEqJc060prLBEYl5TphkdFmKcUSTJdi+aEj1mdVGT8UL9PD1KZZJ1ku+t5RW9Ly5zjFi1oT0R0R06y7Mao7g/lAISKcpzqRWsmo6SVRVtzWglAtUSl1oQBbGlxiBiPKNRdiWDdC2TIYxGu16+AxS6kcwGUiJlhVIyEVG6JfuCcpCsE5Fbf47tzuQ5DzMlzzKBsWtJRzSOEGfG3RW6SNGtta1gpohQHFtiChRmyryjjAdmMget319QShmsaWjXp5yenFNWDzDGYh0cDjtxQ2jw8wJFOAQpA0VjbYPrWkJMdKs1xhhyjAzH/fuoakoihYVQPFa3rBpFDjO7YeHh4tln2C+R3bTgGsfzx+f8/Mkjbm9H3l7v+bf/+D3m9JRVSJwbxfn5lgcnG+bDgVZbdkbzw5sr0eEojXWaTz5+Kjtma3j46AK1m/m7v/sdv/3xR+YS+emf/5QP3YZ/+MffsF8iwxIIpZBKxjrD9vKcx9tT2ljY//CCr3/3Df/46hafs8QPO0cpPdY50d1UTce9G8IYIwYEmRXRNA7dOppuhWtaQbIaeQ7UEmlaS4iB4+HIcTpgG8UnJ45tOFLCRHk90l+sObs84WJ1il0Ux3dvORx33N7cspth3pzw1//Ff4H1iiVMED3DfsfVu9fsxxH1uOfhxQWPHzygTQ2H2x2bsxOcMiQ8PkRMY3l08ZC2OMabPWE+sj/uGI4TI4HNdsWHzz7mwcUlTe6Y9yPHYRHyKIrlsCd0jpTPiCFWMt3C/uaOYAJPvnzOo8uHrNyalgY0HI8jw3FgGgZu3t2ibGbtGub9iJ925BV8+JMHXKwcm9W5JDiPnqVc4WfHm3eimYhNJMRIrG6xVdcSDgPNuiX8sPBuXtg+3fLo0QUr0/5xl3sultVqI5ntJTP5hCKhjaJpHVo3whLWljl4spdAjBQ9gUzMGau0+COzEI28X4TiVQxGG9pmhdOOUMASCH5hHA4sQS52g+zDqF5ioy29EzGSsyKqU4h/PJWK/iyazlg5NHLCKrGRlBxlp2QstnWieiyFFDzBi4grpUyMk+RSRxELGmfxPhKWOiLPSixsOdEYQ7vuUdYyDTMxLOSwELJEdaYiHbqyhqIT+PB+RIltKLqlWW0xtqNp12AdISPRmmGhMXUMlqSzj0VjtWRFO4poHLOhqfYvqx2kyLBMhGmA4MVfHBehcpUsNicK2Q8QFoKfyGmpnvn7vHspGkSBJ0JKtCS4advJpRaqgr6kqqyWEbKxjaxvtEZjUcpRjJUiMJeqmVBiT7ItdrWuPmsLGXSOhDjV/XIrAh4yyip0UgKB0dKxE+XAFmqbuBwk9rZGyN4XB9pgrZFwlHmUqcJ/ImZTylLcmqY7pVmtaFwvWyNtxPZTinD8tRKBZ0rEUOmCqoh9L0uoUdOsadcnIhJLHndySUHhg1wmxhi6fsW6FlY+ZwKKMEzybhjwKVTnScW5Ji8Z7loS5ECQnznDwgBKbKXUtK6soOn6mmGPdM8x14NaU3SQVcQyQBzJ9ypnVUWSxqHaU7TpscahtCyagxdwi7aOFGdyqur96n4wpsGtzgje49DEEjExEIZbWSuAJAe6Bl1Fe87KOiES8eNR1g2Vzqe1lqkJWbq4NAk5UtXpRqn6ASV8iEBi2idsGDBuRduf0q5kRZFINKah2WzB1qnAJMz/1XrFuutIymCNxaqWiMKuKnDLH4k+oXXCOgHLlGVE5ySrrpyJKkuaYEqEEEgpc3cI3O13/Ie//4Z3sfBnn51y0rSM80gpsEyRQmC/OxLR76c2GkW36thse9qTEx5tz/DXd/zjb77jb37zFVfzxPMvPuLD8zPu/vYr5nHP5BPT5EkpM8fEv/o//UsenZ3TTJ7j9Q3/8e9/zdx16L5hWYQj0W9W2AVZC2Yhf+aSUWicdehG7MIYi9OWpmmxjcS9NtqgkhQ9ShvmsHAcJ/w44peBkj3PH27YELF+Yl08KUA63bK9OMeGxLw7cnd9zdvba3bDyME6Pv7wE87aHj8dyWFhuN2xO+wYVODkk0s+ePaMXq9JS2A+joRYaIvU6ePxyORnjDL0AHFhvz/il5Hvv/6WfN7x5c8+Z9WtON2eoRfw08Lhbs/dYaLYFtcIzEyRaRpDDgtz9CSzsH6y5eRsy6bb0rdrbNbEWTj33k/Mw4FpGLm5vuU2vuPFS7AaHn9wyZOnz7jUa1SaMIGa6KbxKTL7GT+MpLBAKy9iqnqtGAPryxXj97f8cHtLWHV0bUteFOMw/ZGXuxZAjdFOGODGoDPkmMi+ELVnipEcMzF7CZ6wVpLhcrWIVa8kShGTKNlVBYLkktiPB3IMNHXXo4zDGMu2X5FI6CSgmfsHvm0aMFaS03IgRBkPKiXe9NYYGSNVr3RJgTmJWE2jwMqo3KCIS+EwHyW3GzBZCGy52rVlj56YjgEflyrO0UC12DWNgD2mqY7//b1qh6IM2igMCuNWkrDnHPOyoLWiaRqMcVAUjTYY14jNpmRSyqBX2NWWOcWaZx2wJtNaJ8AQ42Q8naWbTYsE2Ry8xy+DRM96sTXl+/0xSJpTEDFe9gulBJnEKYOAtMUSo5TY2KhENO5xwqWQi2QY17U3yugKTGlE3a4UxjWCG46VxpazUMe0RrkW61Z/UHAriwZSFqFWRqPcChqDUaLQ1zWW0miFKo0UayWjrJGDVj51Uf6WgkoZ/EROHm0stutI3gtwQlvRDNgG3Wwlh7xtcU2Pw2FVRsdB9rFYOmPJSsm41Lja6Eek5jQySu43KKXQChpnMUDwgVjkuY0pc7La0qzWsp4JsuPMNbHMKkV3siaFgM6JWFoKQjwrKRGSxhmZGsgaygKGlAPWnlLtxxQQCBHy68bkqzLe4azQD5OPxKRJzUNSPGVZjkQ/S/BL02HatRSbxpFzqdMpybIvScRqJQmvom3W5JyJcRZ7HqD9JJGYWqYypQrTVJ0klZIgDKJnaTrIiVW3xZ48o+nWGKPZ7/ccdm+I+7fE+Q7CIH+/qoWKbt6LPZWxoOR9KsZgbY/r1jRNIyl0KII6UFxDNE4uqBp8o0ygDDvGcSIsnqZbM5FRprBqHZ2JhOzlmWkbNJ7iNN1qTdf0eKVxRuNDYLPuaChy0afMq9c3/Nt/91tao3m5RP7pX3/OA+MIy4yzilQMRz8xLZFYFKOXs0ecNpqHz59wefGA7WpD3A/8+NV3/Pq77/nm3RXtuueDJ4/xdzN313fcHAbe7AfGGFly4ezykl/94k9Ybvfc3lxxexz48Fe/wEyJf/0/f4vpO9qSRd9irCRUUrDKVp2HxtQkUEmDM1itK5Y2YtqWGOTnDUG0KspJ7HfbdVAijdG4LKLgM5vw2VCePuXZ55/RJ8Nyt+fqxx949fYtU5tZf/aMP/voKd36MSVI0txhf8vtcUf/YMPnjz7gZH1Cr1vSkslLYhkG7oOwxvlADAvWWQ43A17teNSvOOzv2A97zj57xOmDCy5PLrDFwVwIXrQBV+/u+N3La4qTJiYpYeVHHJOfWT/ccnH6gTyr/ZoyJ/CZVDJ+8czzjA+eHDPf/vYF3757S36QaE5XfPbpJ1z2Z/SNxc0zPhW5K+ZBbHfuAmc6fv+bHzmEgcassXXFcN+AzLsBs2mxfYPbdKgCN1cHlE1/3OU+XF9JtZ4iYRnFbqOQNKmmISG+dmcMtrNV1VwgFazJmDpKLFp2V1bJfjArRYgBqwxtV5WhSWxEQsuSHXwpRTCeWlMQprdW1M5SCHFtI2NXsSsVYdPnTMjirc0lEsq9UKkQolREueI4lRY6XYmeJUxkBQqDUYaYA36ZJUjFNaRFxvTKCM8810QyyVsWRa6xDttv0UqsWM4YoZ6h0aXQbmXkXlIixFmAOCWjFyOdfk4iXEmJWJIUJmSc61BK0ykIWsu40M+isi6RHKcqJjR/2JrZhqIVtunRSpMKooyPC6Qge2/VihhO2yp4k5Qybf8A9SFJFZuzAHRUURjXgXFY29UOHwEUKU0Kg3ievVjdRPlr0P1GiIBahFgUxGOuIkU7tKmdvGnQriUUQTtmoCRZSUidIlQyhYyLZTcIVBBsqtx/pTSq2aDbhhQXYkmo9lRQpK4Ti5gVopoxVoJy6uckwBgRnAmaMwKmKuAzXSffqUWUdt4v6KriVyFzPNyxG0dyjrh2Q7Pa0rkGNc0s0QtLOswC+uhXWAUmFfwi3PLVdo3RiiVI7kJnDYsfWcaZnKFdrUWVrDW6c4RUxYNKVjUx1mwB62hdg6Ow+ElGjMFTVEZrCVLBnOE2sjd3WgRemoLJilA8iSLPfMpo18l3hYJSs+aLlve+lPdcBRDSW1Ea8eX7+hlKkVbiiKKIfz7MLHfv0KrBOUO/OaHrz+kuHxG2a3Z3bwi7V6Tga26DRZlenkFtKFa0BLYRYaAuBW0yJS1MPrBpLX3ToJNgqnMMLGEipoxSCmcN/eYxSrc0xlU/QKJtG3xqSKoRDUYJ9G6NcZoSFSXU6V3f0LeOtmvIPpGjuDhyivwvf/s7NpueX/3ZpzzuO+IMIWU6p1kmLwp15/BeujfJjlf0m45/+T/8c55st+TjzN2rd7y+vmWIAR89JxenDHc7vj2MvHv9mleHmetpYckC7Dk52dBazas3r3j0/BlffPoJ8ebA3//NP/JuVnSbE6KfWeJ/kgeuqp6lKLGbUq26lW/vnMFU2mWIkZKloy/OoFRD9AGVZY1rdGHljFwwGW4xLJstTy4veGA04/Vbdlc3vL57x76PfPT5h3zx/GPUmBlCIeaF4/4OT+ThZ8/58NkHuICsjkJgWWTCu9vt0BdbKOD9jM+BHBPjmFg/srx784aliZx/+pQHFw/pdYMrhuwTS/KkEJjHgdv9gEdWyjkVYsgcDVwqQ7dqOTs9o1UiptRJEWIW8W4qogHxC8vguX51zVc//sCegScPH/LFFz/j0UrS6Jx2IuZdlmpBLmRlCGPm1//+a373ww+oZsGWTpw6SQonqwzdtmV6s9CtNqzWPSvbkAm0/R9phWs2HVhHSZm2SHa3VuJZtaoCD5TCaUus/myjlBy8BYlhTEUOfAUpyUhRKc3KrKTTUNJRO9ejbUMqgRw8qihKieR8rxiuYrZSIHvyMlNSYIxedmkqk8isuhOWaSHHWXzQVYHcNO17Klf0M6apiFajaVpNDjMl98SSBUwQE7aVLHqFZBt3q23dj0shoZSWPHQF1rY07QrXNuITVoi3WivyNBOTJBppXShF0LshR+lSqxI0xoQhiZCNLLtZpTG2wU/X8rnkKKrnKiATkZAEiGTrRGRmNEo7rLW4dS87Ux9ZlomYRKGutAPbgzZy+ddJQLknyoGMRF0rB3SRXb8iS9Z3COQ4i9dZa1QqpGVkSbN05N1airP6OeiS61jfktHYGk4hjgv5fSgNzlm5sE2hUY3s8JPYrXIupAw56QqwQQo6JFEwZRG1GaAYjbKyF1bakKzGNmu0ttLJay150EaEolqJmKxgyT5g04QqihQ1qX4HqIIuXmxxEeI44UvE+4Uw7ylxkT9WjRQIYQYFy3CD3jcc7ArnVmRliUpy1cyww2pN5ypVsVtjjGUexpq9MBHDzDgvGNfQnzygsS1+Gri5u8EaRd80hFp0NrYha40xGV0Ej6xzwMdISImoDKlmnKcYUcbgsDRGY61w8XNYCCXgQxC0bKGCXxrZYRcoJBEjNjJFSaGQateXsq7uiAZdxAFzr+QvxVMQ5DM5kVFCG8yBPN8x5oX9rSQD9psTXNdzuuqJ3RcMc02fK+Lg0AoB1JSCQUFaqi1TLtamXWFMI+9XirSNJaQkKw5bRCOgyh/shCoxRkOsVsUyKoxtWJmGrlUcjgshjfgxkhqDKgsxetatJoTAkuHm5o7FL7KbVjAunjY1nHWW/d1IweEnT5zgaj+h2pYHF6ekUtjf7ck5Y7Xmk0+e89Pnzxjf3XB3vefVu3fclUTX95RSCCHw5tU7Dkpxc3PHy8PIkjOmaZmGhW7Vszk75dPnT+hiZLm65ft/+Jr/9R9eMLmezsEYZqCgDGhMXV0olCoYKy2CykWaq5KZjhNZz2SE3eGbRGdPBBWeC42zhKxxWrM1EZtHrLOMKFLbc36yoteJZb9j2F1zNxwxl1v+7LPnXG4foGfNYdyTrKjJFwvPP/mEB6stvWrIxTOHRAwLYZhY9gPvXlwThpHPPmoIs6c4xWpzSnk7czccefb8ktW652JzSmM6/DRSVKqxzaJ8v3134HqYWW1byhzqc1BorcGXzPnlA5oimjMSxHmWfI+QWKaJZZzZvTtwHAeu3l1zc7zh9IMt/+yf/SWP12c0qsjnmAs5UVcfiiW07O8837/5gd0yMscRRcCmhF8iYU6MJfLw/BFlXJhKwqKJIaFN4ey0E4HiH3O5t02P0Q2rxkqXVMeORQm1KKVIqzVgUPXiSSmz+AlTQLsOHxcsVIFHxxJlHK9yqtSjQqsdKkEoAynLbtFPMyZF2tUa1/QSGargME2EZSAsYuVAQVIabSyNkZ2qa0xVWyvxrCeJbM3GQFb03RqrDXMIeD+ikR1iRh4cpQ1N11SesvwakYQOFfhRLKYVlbW1RkR4FZcrRK8k2cxJMfiZFMQ9oO4P21ZU+CqLEjWFBe1EbGdMi2oktS2nRMoCJ0m5omhrihtN815spbUW9GlJmNr9GgTa45dA8bOMSWMQuMv6DNu0uEZsiVqJf5WciJUwZrJYLoQsVqEa5Bq5OBC9CCqV7d6n4Blj6NaPSIhdr8RAzlUABzKNMQ0lC5DEmIaiDdZ1gMYYWPc1SzuL37ykInhcabdBOaIvRCTZL6RMzpIqplEkFaUQsRZtJf9bKY2t4jut67Ni5TBTOZH9zBKWOrZWHMeBeTqgEStN03Qo0xKihJl0neQcpBg43r0jTjsyimxbjOvFcRAWsfVVn3qugqRCQLtGfi4xohCVJjUNXb/GkEjzgf0sATZRSVFk+7WAjJYj43HHEiVyNStFUlb2xEZATKZkFi+ajRCkSHBaobs1bbsB44SfoCSIJUbPpCQcJCfJPRfqYMHcWy6XPalIV7gsojw33QrTbdFojFKYZk1pLLmoWgDNIqgzMtHTjSYvRUhlGYq1YqgtCrc6QZ88IGexl+acWHIh5YYyF3Kq4Cuk2xGxhJD7ckGEkpmakNeStaVoh9MKp4Wgp4xmpcAYKX5UnAnTzJwU7WqLUZCzElLjkiRYZzrW1DNLDCNhGclhRpfCrDIbMvZeuFkAY1lvek5ONqgsw26nDK/f7JjWkZP1Bu9F7zCGyCcfPqHkyO2dIiZ5TjCGjz//mHQ48vZuT+l7Pvv5p9i//Yrfv3hNKZmwLGzOzzhc7Xi3HziOC6rrxL6qA//tv/oXfPz4MWaY2d3d8P1XP/D1yytejIFpETxvjv69za22E1TwrGhjlEKpDEmTU5QVqBFCHbFOqRhk8uQaSAnbOHoSTVrQGkxrsY1je9KxVhGdZ2Io3M179Pmazz/7hBPbYpLm9vqKpDX7u4H1x+d8+fATtm2PzYniZ5k6LQt+GTi+veXV6yu++v4lr/5h4DgMfPz8gn6zZdudsrY75pw5Pb9kYxusMsKeUIU0B8ZxxB89L75+w7dv3rFsHF/8yQd8+9s37I8jc1RsL095+kQy2rnXVvhYCZCJ4CPT5Lm7PvDtq5dEFchN4uR0zcXTC56fXNChMaUQ/ILHo6ImZcdynHh7c+T6MKAfFD65fMjf/D8b5iypdsfjiC4G3RnyccRuW7ZTj8NTAKcg7CfeTLs/7nI32hDiJDa2Iv52axRFF1TJhJzYL5W6VWlKc5QwBm0s8/U1YRzoVmtc3+OKdF7eL9KVR1HpjkrEdbaVEf48LVilmbPneLWjFEW73pKNfh8VGxBEqnWOtm2lw1Ya5TqatkcX8NGLfkgJ9118vqDqjtO1PbFsuF+yFxKrEEUslTPaiqdWRU+7Egta9hGVEXEWhWI0jQKjNFnJRdv1FougaUMQb6QGjHFEZUkpEKKMrNsKc1Fak70nR08MM2mWS+FevGdUQ1FRssudq+xphTZWVONFOO0lK3QqLH4nMZsIkU+3K5pNS9+vsEbS2HQppGVmCWJd85OkE5E9CgnEuSeG5XSfticHqUSf3seNNpimpancfR/EoywOAYU2LcY62m4ttjWt0dbijGBbrbIVgQlaRB3oohEgaZFAl2oLLCVTTIZiMUpAKV5ZjNWoFPAK6cqtw1j53EuhuieEuRD9Qpx9dWrIs1hyJFfkqzINuj9FG9Ec+CxrqbbrcaYhhIXh8FKU4tqi149wrkVY/oUcM8r20ulrgzFOJlFZCseSE8YY2m6FdT0K0CURjgeO/kjIgaQURkkxI/gXzRIkG14rQ7feSMckpbXggqPAnVIMLMuRsOwEClOJha51rC8f0fQPaWyPNytQBtdmUlIV5OJJwcshHBcRzMUa96kEYGW6raSFIfyBrA3GreW7rqhp2RdK6JBWMiZP0RNcDyXhU6zsBQmO0RlQmabR2E6iXp2VMKf7KGB5IlRNVZR39l67Y0qNR7VOLulqny25yGqq0tXEHphJPpNVR247Oi1FXUkzpkSc06xXD/HLlsPdNZP3+JSw6y2r03OWUUA5Jc6ku7cYa7kbPWYVOD3b8OXHjymx4KMQ7TpVuHl7jb8Q1kWMhRSzQKdSJhVFDJFp8Rij6buWp08eMGu4+Owj1jje/uY7/vbvvuLrt++gaVidbElL4urqjuthZM6FB6fnXL19x/p0xX/7z/8J8801r9+84+Y4cPrRMz49u+Tf//A3lIMnZk+q71PKovMpuWpzUiT7TC6qUgMl/dJaWZlSn+mUwYdFilUlE7FVY2jjQvILtpEshJNNyyePNsTrd9gMi89snj7k2bMntAFK0YQpEY8jrw5H+l8+4sNnz1kXjQqSPBmXWSKGjSItke+/e8XX796QGsu7dzv+9rdfc/H0hBMcv/03v+NVHPnln/4UlxUOWaHEsBBCIM6eaZh5/cM7vptvsY9XuKbh5z/7ELcY/v73P4BreP7xM06bVaU4pkpYLSzDTPSe4TDx7Vc/crQzz//0KWfdhutvb/j9V99z/viUjTHkeZTkz3lkPy/EoLm+vqG5aDl7fspFc8rWaQ5fB/CFaGRtPMWFTbei37SsTzrizcztOGM31SXlwDaWm7s/8nIfjndYLXtHrTKucbimF79vibRKEdYZ0SVrssq0fkYju8LWNpQHD6WzVlYYziVhnBFxDFn2eAiS07mGgqEoKwAXGhGapYxpDH23rurhQtRiYXM1MEW7FrSjNUZ2gbEKAYsI45xtiCmjyeLvTPl9NGxBrGgaTcyFnAONFja9dg29kXWEjx5aAzmL+KTmoYu/N9I04jMOMbH4gdmPNSwm45qexmZw8hK56gEniSgj+IE4H//Q/RcZN1dpsqi0G+lCjXF1vCwhHzF6dJbOJfqFkAZBmxpLU4lxxknnuywTIe5IqbCMuzrer3CTHClaodsNqehq3ZMxnS6iO1DV4120Euyodgg9LeHnCbSsWEopooiuHG+lNM4oirY14EZWE1ZJZGhMGYVMVnLJGKvpXEuqPxclkLwUWNplYhR6HSpjERV7VgotwQCo6FHJQtPSGLGULMOBZdxJXK2XLrzEBCqjmxW6bbHdiSQQNiuMVkDE+4TSBZMiYR7xYZbIXedwqzNat8Yag9ZWrEXK1nQtKbpijFV0lMSXWgxKK2zJhDBQtOz557KQrcPqlq7tK82N2lHKXt/Qy4opi/8/V+4B6Eo8C/hSOzGtqxZByV43ZfLdDV3SuGYtdDcnoRVKG+mQVCY1lsIW1JqcpGCNRS7VVOQd0nBPK31vYxTNZsGohDIS2qJr3kAqBetWuL6gYmKlKh+hCPpYxKrUnS9VSKnQWLIRcVFGcMtawcpKp5wqoEY+aln1BNkj0NhGrIFKftZSCjHKRKLUZ68oRcwehXT0JQvlTKVC32zQF2vaLEEdFBEVb7fyfaV5IF29YLc74P2C7Ro+fHzJZ599wtsfX7AfIGnDamX5/vUdeuUFXJOQ915lxpDYrlfc3ewEO20cZ48v+PjTT/jo4WOsj7z8/ff8zW++5vfv3rGUzPnJKTYVXr54y8vrG0YvWQ2vX70CpfjLf/qfsbKWg1/YfPCEZ5sT1DDzr//j37AfZoqSSaUxjoxkE2itSTVQKQVPrJwKbar9NVfLaNRYJ5NcY8E4ARYpp1itWroU8ccjVmt653DOsOks/nrH2xevOHcPefzkIY8fPmBVnFhuQ+F4e+DtceS43fLZ8w9pS/2MUiIunuE4kUtg3s3sxiPt03MebDRvf3fNMk+8ehmZQ2J8O/Hj7oaPfvUpl+1aOuy0YIomHCb2w54UCz9++4p9E/jlP/0p3BZu55GTvuP540t+//0btqdrtv2a7BNey5Q1zAt+WRjvjnz37Q8EB/my8JNPPuDJ9jH+LnKz3KJsw4OTE/LimaeFEDzzfuBIoN2eozrD6cWKVq9Yr1pcVozmRppj72lVpl/3bNdbTrYtZoqEJtJsWk6SkYvfafQy8fjx5R93uR+vXkkymjL4EgGNsS2mbVl1PVo1WOdIRpCOqWI4NbCxDcVJ/rGzlqQVKSSaxhILkCMhRepxLe9nTmJFK7B2De1qjQ8RraRibIytiuCq/C6gqQeYrqlWOZCiKIJbBUZbjFYMx0PN812Yp6OMnJeZYjRF1TzxUqpdLsm+vICuaXel3I9/FdgOsz5FNy2NNnSrLSkrliwZ541bSYY90G1PsG2Pq2MdP3tK8vhlJGURB+r7KFJUxaAmGV2iKcbi2g6lwDYSsGNtR/JRujLD+3hXFRZcv4ZSZExmalCLFiHicNwTJ3EEaG3R661cSApirF2mbWV09Z6jLntwbVtyCJgiFr+spEPMPsho1ThM21dCmwgZlWnpmk46dW1orQTs6NpJhSy6CjTVp6zEWuk6tBYsp9ViK1qWkeQjxgnVzep7vreMMzWFkgolKUEfG+kkFIV5GgnLLEEPfqzcgSJTCYsQ57Sq4Joq0AsLPk+ksFTOuCYYCTmyzRpttlgSLieYj4KRbdZoY0FJ0RBixKhE4xpKiThTZLVRM8bn6IFCWBJGa/p2JUK/pqNrHLlOeCgZ06zpmkbIaEZG2QYB88QsoptpmklOUaaEpkc1K0K7sEQv7IKUSVbjC4RxpGl7bJ7J2VJKlnAiiuhAjOTEa2XlPa9+WqtVFZzWcX2l+hqtBdiUkwB2ckCZFlXEJ6+LwvQyXaNqYawSlHFqXA2IQaZhKVGo1lS0jHcRnz5kmqbFaRFXhaKwVtN2HblezjmI3VQhxWnKWaBMJFJBAFe5SLgUBYPEDVslAUxZlvBMUc4Bm2XNJuQ9mZSZkjBNg29WzIc7UIppXvj62xd8+fmHfPnzz/n225eYvuW0VUwxUKJodEIS1odrLX5euDvODJOvgjb463/6Kz6+vKQcjrx++Za/+7vf8dX3P3J32LM+WWOKYnd74Pff/yjIXORizgUunjzmo48/5PzBJY9ONtgQmK5u+PG33/E//bvfcFgMJSlhZpiWoCax2C6CdQ3Bvy8IlRLbqtYiqCy1k09Ao8E0DbZxNNahUySPA0scQEXaVY81GmcNLhZev3nF1WFgvuv40+2nONOQ0cQl4f2BN69es2sbHv3kC87aLSoV4jITU2a8PbLb33B3u+PHl29Z2szjp5d88fwZ3/3r7zkOI2mGm92BOEdOP3nEx08f0wIpBvxS2F3fsnt3y10YyBgufvaAnz9+gvKKl6+vWZ+sSKOnU4V/8c9/zuXjMzZNK9TSkEhz4M33L7gbb9GqcHQH+sdrvvjoM87bC+JY8MORly9eYlcKnRLDcaJMC8s4sru9Zd4YPnjwgOdPT+l17b5DJoxw2AVwhvG4cNY1nJ5uWGMp3kNv6aJjiJkSA22rCNOIWm/Jc/zjLvdl2DMZi9Llfc618h6rZsbpirgEbEb47bqpHHcBPpimwfsgApvlSBrn2nVauvU5dnOC7lqyrj7VUiQdKRR6rWlWa9JUxVE645eZpKs6v2SGaZTxWpQCoaiCylA0RMQbaCoHepkH8cka8W6rphMPduPqzk+LX5UikI24yGHjg0ylrca4DVop2ran35xS1L2gS6hvqV6iZAg1rMJYA34hxIX9PAveMSusNZjVBq0aQgp1HChilugjyjUoI3nlroaYSJJZpmhLCELMy0roTSJak7qjNY2o7wGtFTlBmCcZt2vN6uScpl2hlJJoWe+JcREPtxGRWSmgtCb5gNJKRtezqOuzkU5II2I71ypyFsdAKSK+0q7BmV4uwsol10bXjkz23vfgIHQj6mbAGVXXNjM6JcbjDh8kFQotIp7eNOhQqnJbLnGDwoeRmCVHXtdOIy4Dcdzjl0NdUSDRxSWJTsE4YfQvA8wSskMBr418oFTft+1Qbi3MeAU6zSzDyBQWsWFpUEXR9VuORwVa0fVnpKJIfoQ011hUKPefE6CVrdONVtZeU6DPEZUCSxBfvtUWUxTFHwiLeOItUiiWSqcjBmY/E0LALwMzmmgcGos1nVC6mhUoTSRgEJuTBnKMjOMgn0OKkkSoRBOCkc485yhhPsaJjS95wnKUYpcCKRCWEazBtmuyrjY9L+FFrlsTMthjwBAwxqJVAWsxbYPO9wJHSaIMWXDPrRV7rM+CvbalYK0I/xqtyG2HzkU6Kp9wbU0sszI6Dhl0CqSwiFAQcdP0jRHzMR3OOoqWojMpJV17KTS2p3Xye08512x14alTIjGB1SviySUsb2iMwTpLiZlvvn3Buv+czz7+gKNfaEj88pNn/O67W2KUjIDBewGs/PCKq7sjt5Os71anG372+cfMb6+5fn3NN9+95NcvfuTbN2/AGoiJOS68ePmWkDNnDy9Zxpn9/oBrOx5+8in/9J/8JWeNJd7ccnN9w9e/+5bvfnjLq/2R2WzISTHPI9F7lmliHKcaHCXI3ft0uEzdq+eMqQRCpcA5g206mqah6wRNjJJUQJMmNhvLthWNVqsK++u3LGFiKIk//+WnPDi/wIVCPEwc7o5cv7nmN2+vMR894c+fPEMnGI4H/Lhjnj0/fvuCIYyos44P/vozzk9O0XNmfHmHX7wU951htV2R5sJm3dEpK3vpZWE4DhyHPa/Gd5w8P+f504843ZzgcsM0HslW8fDRI/Zf3/G3f/tbwpnmv374X0ixGSNxmthd37Kf91xN1zz65DF/+ewvK19EoE1hnNld3XE3HPjoFx9wuT5l2I/EaeDt1Vvaxw0ffPgRF+0aG0eMzvLMLZmrH+749/+ff+DtuGNJkX67pkETQ2Bz2tMlw2EamZfIcfJsVh2bruHND++Iz9Qfd7l3l4+wVtTLOSTmeYa44I/CITemJ3UdURs0EaMLMUVsdjCO+GnPMuwFNVmUZC5rw2G6YzU/YntySbPuyU66b6ctyopAzhMpudC2LT5GfBKrUUrC6vbRy0iH6oBXBZypSnSDa1yNiC+YlVwgznW4pkUpK2rJmLh3Capc8KVS74pEvJaCCJGcBBHcR9sqVE0XW2i0TCLKJHnpQSWWENG10lUaDJr16pTinPCOrawoUgigC0nLHsVYh25aCesBtHbEnMRhYBwaZKVQQ0xssbIOybJnzmQiCatE7BdDZIkB17Zs1ycSIFPAB1FPxxLRVqPMWrpmo6qfXQoKt2lRWfytaI2pv/+QCylVnbOygvTVDmMEsKO1IZPprKiayz3DoAhmVYTzitaIUjqXAiWzeKGRTSEyj0NlJTj61YlwBZQ4LXIdH1OKCAgzrLoV0WVxFOhCXBLDOLIMOwjH96CdgsBWim0hBpkBaS2xrNTRcgn/SUiJERpbu34fjJKSCKXMWuJEjTIY29UQGEfb9eiMsOSVQIByEEhQqTvf+920BAFpGisc/6w1JQYaqhgyRRY/EZRF2Y7Wdsw5sMwTmUIKk0CYwkBZDqiUsf0JdnOJa+v4tERcOIJKmHtyna1gItPQOU3AoPQKBVL4hgx+JioR6FVCkBQR8T4ISJP8EfxAQeHaFSVEinE06zNs20mRnGWlkXQhhAWjRWjnXIdNEW07ybm28vw1zhHv11IoWmfQ1pDmGZszVjdkbbAKnE7orpVnsohOyFopHDOaEDWj0aiQxYlSOhJexLc5EYPGoCW6VSsaXfA5opVwOrJpcMoQvJdpQ/V8G5UwxaI/+JLo39HHHRcnW5ZpQvuZb7/+jg8+eMb5xQXkyNXVa7RxHJcZg0zsYi60zsq0o7pfzi9OSOORb+4O3A4TQ29xnWNaFkxjZbLpE6ld8bM/fcRJCfzNb3+AAv3JKR/95HM+fnTJ7cvXHPd3BGNYffwcewgcxq+ZtSaExLzMLH6WpinfQ6gkMe1+Mnpf3SqxFeBah3UNzlmslVWJH8YKNIp0OtFp2LYWW2RUb6PncHPN3bjn6X/2JX/xycfYJRGPC7fv3nGYFr457Pnor77k2Yc/occyH0U0enf1lt04sNjI+ScPefzwEef9GfjEcX/H9WHm6vqOFCJd33G6XYGHzXbFchjY7w+EOLL4hal4Pv2zLzg7PeN8/QDmyDwvHI4D508vaLzmq29f8fL2Cm0b5rTggmKZZpZx5BAG9KXll7/4JZt2y7o9RSeFH2dyLCxzYH9zw34+8DA9YHq95zjcQgfbj8559ugxTq1oKzsjLxM+DoRFcxwWvv/hFVOaCWTadQ9JAs423uLbhGk0aSj4nGitZgmZk48eU05O/rjLnVyYD0cWH0jTDpU9aGFju6alWEsKkTLvJTnKWNKyEFLC+6PYtvS9z1vViNeOXBQhz+yPV+jF0Xc9pukwTcu635BQQpizmhwzWllR5WfIzpDiTNMs1U+KVLT6fj8ke7lSMhaNco6YFcYHrIaslaBjUycj+0aoaDneM9yr7U5pIJNLIpSCubfbIDv8ZDTRLxAKZZ7Y9h1ZFVZaY05lQlC0+PZjlnGKrrS6nOTgcs6RsWSc7FBTlMNQvClYLapxRRIvfgXx3Hc9WosvXgGCPhNVuSqQtXS0KwWqomF98CijsU2Do/Lok1hdQorYSnbT1eucgozd7/9cKRlSpjGK4jQ5JRp7f3kbaXaTQGtaKwTDrAolJzRJLv0keGC0oaSCVvJ7S/e4XAKtUZjNRihpOWCtFSEfmZwVoUjOe6bQKnBtA2QwgSEUlpt3xCTRsW1/QtmegXJygMUgECSt0VHodUYrEQYaCd1JyZNLwtmWpu2FoBjEzljuJw7nD7BWcLCNknS26CXpTfuJkDzLPKOsAHCU7SBJ16q6Ndb1aK1ptFyyKUfRoS0DKUXkKpHvs6iOxmoalYnTDcs8EPwEeSEVGT83gFqdCCHQtTTOUuJEWmZinNn7gawlrU/yygO27+k2pyi7weoeyn3cqSIbjffy804porInDHtynNBWQoVSGKHiqdGwTHv84QZtNOGuw3YnqKYnV4dEigvJz6JV6DYyBciJ5GeGeZKpn1Y07QZj2jrhSTLJci1NIyFMuWRckWfX5yx8hVIoIYhjoIKzlAZnNCddQ24zucj6QCPdc8pZtD054sc9x2nALwOZRNf0NO0K2/Q0tkOFiE8z2Sj6lQCLck6Y7SXtz/8b+Pp/Zhz39E4TgmFVCncvXlLmiaIdv3lxjWlbvLCv0SWx2rQ0GlJI3DPlHz57xPnTJzzstzy+veXdi7f8+t0OtKbtGlrt+OHb79h++BmfXfb8+j/+PePiQRW67SkXF5ekOHOw8OxnX9JhGN7e8v/+5iXXtzuS88SqNSj3ECqocK6qe6kskVLJcyAaGGcdrRWdT/aeECZyUSRjcUSaplBcRkdDspbTxlB2O64PA7ODP/vTz2kOM/M4cPPmitdvX7F3ij/9r/5z3LJimTTTcSTNE4f9Hbu0wMWax+cbPn32IS5B8YVl8ox3A69evOV2fwfJ01tDoyxNZzGhsKSJm/0NZqN4+pPn9E1L12yIPhPHQJwXjocjU4o8WnW4xTAsE97PrGzLMi0YnTje3TCmgUefPuVsdcKqX6OzRiUpgnQR5siwO/D23Z5A4dX3PxLONevLng8/+YTz1Sm97kjzxHw84MJMVhCyIuXEclzYTYPYWo3jZLvG5ky2FtMZGmM4jAPTtDDFmaQ6Th48YjYd3emjP+5y3928RvlFHmLjaDYXNE3PenOKW68Y4kKYJ3KUg2qcRqZhEIyKU5AEiFKUxbZ95WMbGtey3mwEaTt5hsXTlILLSUZ5KeMRiptuOlIqcphFTzKWUKR6Wa9PyEpyxAV/bv+/nP3JryVpmt6J/b7RzM5wB7/XPXyIOeehsmZxKLLJBiEQYBMCiEYDQgsaoF7o/9FWK620kqBNtySgG62muqASq0gmWZWVc0ZGePh8/Q5nMLNv1uI1d2rTDShXWRmoDD9+jtk3vM/z/B653TWoVlzJummMhtoZiYppiy5gyaIXNjHXaG3eM53FUq+X0baRiUOSTnDBecqpVStF1BE8OOel1AOFrYK4FW+XgH9U1xFTISXpB08t07Js9FWLDimlCxJG6ZQmpEJpRbrbHcQFeWsAnQoJRdXynSpj6Tq/fG4tFay1ipa2TC2UA28FHvPudG6sFpJetaimxUAJqJaJ2sHKSdZZgW7ioLd6icsYhV0oYeXdVGPBeirlKHEWsl8MdH1P0paSEt4aKSipkMMoN3fTEecZbWUEu+pXaG+pzUnHuwFjvPDRmxEAiKk0ZahWgERea7qTE+rJhpILTouuJ6aaSswFXTPaGVrOpChUqVbfUfrEd6DtCZ23otHPM5mjjMC1xiqDs5o67qgYSmnsSwbnaVbgS5SyoIpltF9LETaE7zDdms44jPXolqjHWwG5KENqgmduVVoNS0kYJ4CheT+TD7eQJ5SWMTFqSTGwxCqbNIkpNxBdT9MW3W1Q3oLZUMfDe1NrU5U4j2IytbMYOY2nGY/t12KSrVk4FMbKoWHtaNOd4GrLUSiQFDncoQRO1A+UJt6ZNN6ixjtxs9ke02+wq63Yb5UhHG7I1uG6HqwViiGaPM9YE6lVDtbOONZeNnvd4sKyV9RUJV2hDVVbamnsa6Zfb1kN0tCnUCLdFUnWGGclUaIXrKpzKNVJIsP3EDfMKXBs0mFhc2Gf9pgcyBrWfs18PCw4Y49WmvX2lM1Hn/P1z/4t1/s9wzLhedBZ8n7Py9B4eX2H8Y7Vei09ErWwWkWy0ktVdMX3A3/0J7/HhfNMr6959fQlP/7xT/ni7RXbsy2dtbx5/oarOfC9zSnPv/g1zw4zwzAwzxPdsOL8bMWTD59w5ixqmpnubvjlv/0Zf/HvfsbduMcMIpuJzUcw2OpdnLlp3lUvtyWNIK06AoYKbaREhzEZ7T1Ke/ywoVMWk454JixFyHXa0jvH7fHIfjzywfc/5MJ1jNc3hDByN4+kE8d3v/0pZyny4tkR89knpDBzfXNF7hSPv/kZvR3oOkOXLTUl0jgx3e24en3Fb37xBdf7u6Voq6KS5tXTN2y7S4w1mNMVp+dbNitB3eoiMmasiXA8cjhMHEtCL3mUoXOEeeJ09QDvLXEM+PM159tLHlx+gEly4VVIPXEIiRiFSvfii1f87W9+SxgK7l5kePQh3/zsO9wzKywI+c94pnknUVJnSLVj9zry618+Yx8nlFb0rmNY9gDnFTpqdu2Ic5bxMJFOCierFWPM9A8usHrzu23ufntOyxHrZHMOc2BKgentK9SVwGFqjAzDmmw91jpOLj+kaUGJGqSidRgGtPeEZdFzRghaqQiPXCO3uxRmIhKtMN4x15G6O4AyVFUpFDpt2KxPMMqgrUSspLSmoGsjlyA1lk0JFlQLEYq2NNch2nXVyOdfgDm1vtuI2+JY15ALfrXCmI7iNF55YcqXGaUcqSqc6ej6DWWeULXQSiVScSXIplfzwqwvYghTDd15fLXowS7j9uWGtnRQG7OUYWizSJqZ0gq2FtGelRF2O2I6QwviVG4kLEUnoo9r0y8GIpEvchN3vgGUFi28toYpUuGow8Q0Hcm1iFmyJsgZZzxYu3yDkk/OrWK0wmqN8178FaWKa7mO5JRo1jLGyBwnaJpGIQ0bjPXMKUvrYEswjWhjGewG5zqa7bDWQ01MIQu0KEzorqdoi/WWTCGETD6M9N7SjMG7LGa8AiFM1AYxZcGj0mg10u5mQgiAwXQdyvbYTnrvnZWAWclZjGP9WmJ2rVBioJWZm5uDZLytyEjW9PROgC3TPJNLoJUJNDjTs1ptaTS8sRjTkVIgH96wv3lFmHay0fs1yg1S5qM0qorkkWumhb2cE6wD02hllgmJMqh+g9JCE5SJi3DBBVRkqHGmjQFsJ+wHq8VJvrlH1w2E405MUyVjnCW1SsqROVdst5ZyESU3/tYqpj9Fqw2tFJh30JIQ65QVvXYpGRKqX1reOeSz1IqKATSSHOjWoBRjjFithcdQskBajHg6bLchHd7yZnyLXvgYgg8WL0Szjqob1q6o2tNtTsjjyPj2FXH/khIPcvNXDus6tAbnOvl3a49xjmGzwTrpN+i3G86UIsx78jwRDjeoNtOMou9WxLfPGcOBHEdKGKEpTk9O+Ac/+Jjdiw2/vbvlEDJHo9kFy6r3zKkQUiJMMzEXhs6jWyGUyjgGQkziTteaD0/OuPvyJX/z73/B3/zqS57e7ug2A15rdlc7fv3lc+5983uMY+brF28Y1isO+xHXD3z67U/5z//Z38eHxP7NFc9++xVvbg/8zc+f8vRWmuqcE0hVXmQVpc178qho7ep9fPRd22IzSJSsQFagTcW2Rt+JYbHVhDEVS+PeYAQKtvb01lBqxurKkwcXmNs7DrtbduOB0298zLe2K/QY2N1Evnx+w4NHH7AeeoYH93jy8CGuClelpEyYpbfjsNsx3e758hdP+emvn3I7jTTVyBWe/+Y5X3/5gs+fDHzw+ac83qwxNNbdQCoTYR7JuZHmzO5uz3EfSStpBay1slr17G+PqJdXHOLMyXLSeAAAsBxJREFU5b0tm+2WwXh8kcuhpC0WcFVITIcDh7cHfv6TX/M3X/6GD7/7kPuff8rv//BPOa0dat5RKeL6T7NMS40lpkZtli9/+Zwf/+Qn3Ex32KHHOUeYMvO2MBiHG2CTN/zmyze8ervjo0+e0LRhePAAZzeEuf5um3s73kl7U3KS7StJDBZKyem8iss31og1TsAmwHZ7TjesF2KWo/MDqWZsjkS3WrrMC7pJprylskSlnCw8xi/GHoXqG64XB7heSjtUk85rtWiwMc3YWtApC6UtK5qS/GteomJ939OUJSXRU5XWS7W4w3UrQZNSsEZ0LaUbxvaUpqh1aYIrQfCHqqHtu3FzIye54VnfY70nlMxtFA3e+Q5rZIzjvSbHREoJ3SrOyKi7LWa6VjMqZ5oxYDTOQoqRmCPWCDvf2V7ug00c040smeJaRQqQq+ISYzHUKl6HZuSFNVXjFFAyZZ4I457x7powH+Tvp5TcQs2Adj1qWKGNZ7PaMPRrjDLUkrA0OhQtJWorzMe9jIAXY2JVEnFSxgnkRhmJidEkMx0mrPYSk7ReIm+tkVKk8x26Feq457i/YZyOxDSL1OJPUE5cusZ34DW260ilYYwmlgI54pQDqyhVkTKkWmGBHlU7YFdnKG3x3uGUFfBLLqJnWovpOk67Hg2kIIYxZRxNKYYTmX7UXGlW5KIQo2iQWaJGpj/FWWEEzPNIa4qkqoCeYiCOd5QG2m8k6mg9Eqk8SiOialLMoiyCCI7CYXdnKCsVsFZLG6AxfnH0V2qtxDDincV5WSzUUturtVoOxcL+7/zAcXVGSUfm3Q4/9HLAQNEUNO3EFFsj+AHXoKPJROZ4jenWgixe+kAbMvRqVdIISgtLXilxhxtll3dJEiNp8Y8oJDLWrBN8cpFyJuxAnEZK3NGMITVLtQaNQS3yj4piLCxkaTiskMIdcf+GPO8l5ppAUWE+omrCGIdbn+G2F5RQsLnS943OD+iYiNfPmKc3aGfRWjNNO0oS4IvpB/ywYbO+pNHY7488u73lyScfso47TO847A68ePqcV/sb1utB8vzWoFplniSCuVk7aq7sDhO5Qc6F84szjnc7fvWLp/zlL37Nq5sb7NDhauX2ds+vv3yGPz/FxZmr1z/j3v0z7q53Yh5er/nONz5Gj0fuwsibt29ZP37Et7+55fmbI3Gaab4Xmc2q9xTLpuuSVJDJm14KlVBVDmpa4hBNif9BniO9+FQMc5xwGjpmjCmsnCfWRqct3mlMSwynW9bbjjgfCGXCPTzhw8cPGObG3FmOxz0388w2BbqzDR+cntJp6TCvNUvWvRbKHEhz4PZ25K9/9iu+unlFLBltDGEM/PK3v8Wervjg8X0+ODtnbSy1JEyuZBredqRpojV4++LAL158zXf+7LuQC4eXd1y9uWF9usX2js3pivPNPQEgJcGQtyYxXXnHIoebAzd3e559+ZI34w3Fw/1PLvmjH/yQjRokEqoAZchZqIkpZo53cHU78fbqNcchYjeOsm90WtF3IhOP44xdWVoo3BxH3h6OHB2cnG/YrjdY1aOwKPU7uuWb8/KBxp0UlCAgC9P1GN/j+57aENJX01jjxVU5BWlZ6wVuopaXNsxBKENNOPOml39Hv/Z03SDxuEmiGLVkSsuSgR6lJIRa0KpRlyawzXbDcSpcv37FfNiTjzs2wwB+oNucYr30eesqi75dKHalNGqeSTFSY6D6mVgLzhmU6ymtEFMCfaDUKptjaVhr0FW0u2l/R22Zg9LM84imMgaBbhgrZSNos5x4F8NYmOUmbCzKGWHSIwemqiCHiRYDVntcvybaSqlgl00lpUScZpQ1AsHIkb6TIh3VoNlGyUg9r5VNvtVKnidJDZRCCke0qhxubzgermX8mzO27+nPP0KZDru4YI022IV0p7XGlEIY78g5Sm+7tRjrSbmQUhDxTitqWgBF1pGVpjN2aQwTl3ZFEhY06Kr0JRdTSXGi71akkKDNxOXe1w9rhpNTlOuoRRy7vZUyIznEVfFSSCgbpQeUKqz6nqo86zWkfCKlN6oAmk4L0EQZT4iJSqVTsOosqVRSiLRxT8yFORdSy8RFU8c4hmFLv+6oRpNSRLdKjgE1Z5wV9G+KUi0q/HuIYabGWRrY/IDRDoygVpt0+YqL3vYoLVE3jRKqXwNFY+gH1k5QuMZ1pJTRi+ZdakaXSrBS0qPjHXWqlPlAjEK8M02hKaiuW4oxNNM0CzXSGJxf4fwa63pW663EIM2GXNpy+Ktot6X0K+Y5yGGuNYwgADHWoHVPqQhwJEnNa8kSs7NaEM41jQs3wYKyOCNxSdf14k4PR1I80uoE/ckyodMY16OU6O25iNFPvfveDKhpL3KA1qh+Iw2KuUj0zXUyjXArvO8hF6yuWKcgTkzjSBivOe5eUNNB6JjdQNf1qPUJYZbGs973mPWanApdt2J1ZtmPkb//d/+I3/vj7/Pv//Xf8N9eveHlywN3xwPr9Yr1ZsN6vZKJWRUm+fXtgVIkVZNzw2hFa5pDjEwxU5okgxqW16/v6O9d8B/9R/+Qf/3nf8FHTx7w/OuviUU6PNR6y8XFGVnD+cMPePLtb9IOM1dffM2v//ZLxlTBJlQOOKOpoYrXqGR59hY/Ua2LT36hVrYFjGWsklbGJSqqcqWZyGrosTXTURmMlBzJxaRyvrU8R5OMZut6KA23Gfjww4+w48wUC2lqvHq1h7MVjz96yAfnZ+jc3sePS86ENFNyJdfG7mrHl89ektzSRLjw8A/jyNvjjj/44ed8fHmfZR5KS2KciykSjomvv3rJ1dUtYet49J2HnK/XHF/c8uM//3f85W9+zvrhOR9//IR7mxMBKy0yaM6Smki50kLlcHvgiy+ecWRGn2q2pxvu23v84Eff4Nyt0ZllIiZSbAyKeXck2MbtGNi7wOpB4LFd8/W9+/z2xWt6a1n3Hd5axhBZL/0Q27UnHQPdieN8vaY5L+jwqsjhd7y5+9VGFuHTQisF78Ut2bRmihHVDMaKZV+1JtlPpFhmGDZivAFCK+yPd+R5wvUd3nh62wsBrinKOLHb3TId7gSbqSp2GFit1gswp1FjQqHR3jL0Pav1KeNx5vnLp8w3zzG10a9PqdsNYKi6Macj482ezWqNU2uJWVU5kTrjOM5HcWHrJSbXeqb5IHqUsZAiKmf2YSTsrlEogZX0A3gvfPV4pM6Zvl/RTCXNkeocupdWO++dZMhbwXmLV15uNg2SAl0r3nnmpsi2kGsjacVu9xarFseLtuimsL5HWbkFlZpJy1i6hllkTa0xbuCYAmk64J2hWo+yFt+tyGgiUKYJu1lxenJCxWKp9K7DdYNgVHNBpUJqkd10xNPohzUxF1KJNG1wQ4e3Hqsd2hRak5Y01w3k0tBNjGetVXQFt4xlYwpCfEpSipDUkkwwlqYtRSlc15PmiXy4YU6BtiQkLEKRA8V1HClJ+gPMcEq3OsGYDtv1dP1K8LKlYKwgM61xWN0oSXOYM4c8oVrGu56hlylRTpnp5o45BMI8knJCWYvrN5hlvO6VUBq1VtSYaCli3heFJGH8q7bo+QFjPQrRz6uSLuzOdUJPa0LfM0ZTq5RzUAv9ei1SUJqpOVGVRMe0qsS717wJR5rrsMbitLjR5zCCVrQUyPPxvbSUc6CViFJ+YUEoyEHawJSQJHEblF3LZ9eeCLSa2e1uoEY6b5eeA4EdWQOdVuh+IFdNQjoUTC3YmiRFYS2NRNUFM/TE5DF9R0OjysJo0IuYVAumzKQSGPf7ZRrRYbsTzOYcrMdoj2pFsKm1YlYb1sNGeh6KHCbjeMMcJ1rNFBrOr+HdFChnQCA2eXpNUEicVVeJdSotZsZwK9OFVkjHTMmROO5Ybc443ZxR12v200QdD3R+JYdP4Je/fcXf+fySH3z8mCfrDVfPXvDq9Q3748g4zah+je/XDKqwNlXohrkwx8g4B6pRrE+3PP3yK+6u7gjzhO89q/WK+RC43R+4PDnhx3/xl5zev4BxJDWF847xmLg8O+fs7JSHDz5gVQv1zQ1Pf/Yb/vz//df8xS+/BG+XeGeFJfFTlTj0VdMYnHBGyNKqKa46GddrgS6ZRSp8B71pulFzwGrJ/TcKU2yowbE2FTUdKAYuNxv2t7eUDy948Pghve4oqVKN5e56x6tx4uL7n3C23qKrmJfL0k9CbqRD5M3zN3z19CUvjzdsL07EjLyYAa3WxFixm45PPv+QDkMNkaQVcZpIc+Du+o7r2wOp1+gnnm9//CE+WEw1vP7yKX/75RfsmHn40Sl/8kc/pG9uAYMlYkzkMgvkbK68+OIlV7trpi5z/8NLts3x8ucv+e5naz65fx9fFSUvfSL7kTEWdtNMjBPRQH+/57uXF/Rj4/Vv3jJNEb/qhNcwWE5PV+Qxg4PBdLz98g3XJB5++BjXd9jVJap5aqnSLve7bO6n5w/k26sFZ4RElEslq8LaWGlUo3F+ck90XS1lKqpUagykEDikROc6ejS73BjfXjGXym0W41zVkqlU3oOz4Ayr1ZZ+WInm2KSQwG3PGFYntAZhPHJ9c02phWG7Ydh8W6hVzqG95/owEnJGGcX28gHrfo22HXOOmBAlsmQt97YbaT+qbRkRanRLtNq4vX5NPNxitQJnKUajm5iqOmMI45H59hUpjmjliIdrtNVUI4SxUUvcq/c9WQtty2tNmI7UnHBezF7GeNbnZ2xWW7arc0qWkWY50aQsIJuqGmkeaSVimvSBg8YaS22F5lZC9NIiV5h+wK63kALrrsfYjlSzLPSqQb+i5Ehve7puWGiAsDvcLDWZK5qxdL4H28mhzWi8KfR6ICXhRreYaFra2WxrmNIohzuqUsI+zwlnHSVFWo2k6SjOcdPBQhtDK6wTU1WtjTEnwnQkjjfUHCVrWzK1SHe4agCG913zBXQWvKNfn6JSz/5ww6rr6bqNEPr0Mmo0lobG64bfCnp1Ohy5ub1ZMu8LYlJrWr/GG0vnO+GKL/4ih6BxU4YxZvLSs95KQhuHtlIVqZVi6Df0vpMEiXUCTEIifTRphTLOo7WRWz4Z10tRUQkTcxypS0d8DiPaGDIas9z6i4LSNK6T36o2AUnlbqSkCaskJ19qQeVMjiO6RtksF65/A4zfYIYtnRskEaKq4FVro9kVYwlYoyVdslQr55rRfYcKAZcTLYuh7zjdUOcdyjpUd4LWHmWEA0BOOKWoQb4vYzQlSztepGD7DRapGC6lomlo1dNyw3pp8lutTsgFYUbEGUVmziPHo2A+W3+OXp0zdCu86VB5xuuG1YaqNLEW9vtr8rQTDaEEShT+fi1Zao8xtBLF2KgNen3CYZ4oDdxqRbdZ04p8R6lklO8ZVcecNQ5Drw0//NZH/Obrp3zxxXP2h5EwRcwHF4T1hnq8xuxey7qTC2NIXDy+5Jvf+JSaGl9dXUNvOfE9LSmubnaYwTOFQOk6zo3l6fU1m+2W25sbrDV8+vnHPLy8x+GQ2N9e8du/+Sl/+4uv+P/85EtuQxBDLAIKojbRfqt+X3CltaFRochtWCHPkmKBFS0ETGsUrrOUIs2Brrf4HGmpUowje8Nm5Slp4vrVnuM8Mdy7wK477j264GRzjoqF+XDgeDfyxdd3HDvNH//wW5z1K2xV1MXsOk8j4+2OL754ytvxjv6jE350/we428ovy9+iFlOziF+N4XTDB2f3MMvmmmLiuNuzv9vz298+pX9ywmff/Iz723uUY+XusEfVxMvnr3kz3nLv4zO+9/3PuVidQWFB8zbQkOfCvN/z5uUNL3c3rB73fPPhQ+75U46vZrRfc3Gq2WgLKVFyZD4eOb5+w9OXb5hN4vzJfR5/8gnrrsfmTCYwfPSAf/6/+5/x+V/9Lf/mv/8rrDEiKRrolOI4HnAnnrOLM+7fO2W93qDxxFBQqpFi+t029+Pb1ygUznqS9ajO0HnPyq7QnYOmKa1In/sUUCUzp0SYRioVZQoxTpQ5EI93ogW3Kt5ErdG+pxu2dINQ3KDRWY/v/ZKn9IClhEg8jly9fM10uKMqMH0vmhiCqLRecIrGDzy4OEVhSCnQeSeZYiwNT6kjRskINx+PWGtRrmecZkqcyPPInJLQ2N5lsEMUM5lp5Ja5ev0V8fBWWr9aE8KZWrRAa4lOnPJaW1KMshnlwHE+UHKQkJMyKN+huzXHw1uc7VC+x/cD1jrZAJssaNSILklMLq1g6BbgTpBxpTL03svIW0tjlAVyv0EZqcYtMeJMjzNrKIlmC0PvyE2hvESVNt0pve2oTQhqcQpS9oI491uJkCVS15RU05Ys5hKjFDVNwug2hpQTad5DFWNaUwaMwwxbVptT6VJ3ndh3ytJAliJ1vKO0TCkJ4ojKidKyLDytAorWknguFsQuFWpSzHc34uK1PYdcOc4Fb6WZCmuhLcbFBuZQWbmOBvhuRaxVusi1ptdSVayMwbYqeqtRQquqUl7ybiRotMVuBolgonBKCeWrJDFS5kSkClnQaJl2aYk6erXAclpBO0tWDmOE3x4p4Dqs7xiaZM5VE3rcHEbytKfViGqVMYxS39qtECKkp2gLLH3dtVBbEq1bAcbTfI8xa/A9fT8AhloCuRSwnTAW0rTorg6jHZ1bo40Sxn0pcLgDoBlDUw5VItiBth4kgWK9TApqFRxtbYxpkgZG1XCmR/lepoFL7LSxxE6tI1eJW2okZldTFHwvRWSpIkAg5ZZbTy+VwnnckfYvmXKSrgClpJGxVbzrJcpIppQIpYDuaP0yHSiVmm6prQjtch5RSxZ/rmJYPe03rDYnkmZRgTlGPrvcsunW7PYTh2nk/IML/vP/5b/g//R//L/y47/5JSXODEbTbbecDRWz1cRpoptGzo3i8uyEq9++4HUIhJawGN68vOHZqzec3L/H59/9HmkO9P3AeHeH6z1eK/ph4Dt/+Hv8Z//in/Hhwye01nEzW8LZI0L3li9f35CXqluJvwkAShmDMQKyMjTZxKr4qcQkL5t3Qy3kzqXZLFdMV1n1Hm0NtiYoM93geHD/FJ1GBlNZGcvb27fsY6J3hk++8Qln2wtMbMTjTJgiV9cjT3d7nvzB73F/dQKxMLdMHo8c9ztud7e8enXFdKb40d/5Y1ZY1Fx49fQlXz17RWmS+UlVnp2LBxcM2jMfRsLdLccwstvtyX3jgz94woePP+Le6pI6Zw77a2IJtF3g5c016tRz+fgBTx4+wmFJMQng6XBgujuQ8kSqlTt1x5Pv3+PTx59TRpgPRw67PXjFeuhoc+ZmeoXOhdIaU0oEe+T00cDFPcvaGTZmQwxHUoiYoePT8ws+ufjHtNvA09dPCXOkqoYz0HeOq6uE8YZNJ6RIhSVMCesrqv2OmnvNBes7lNP4XupP+65DK8PxcCQcDszhSAjTQvoagYZzK+zmhFIUmA486LjUd2qLHzaioRpH7zt81y/FIQuCVFl652k58vTrL5gPt6TpQC1RonTrE1LImGww1jGst5j1Cuc7NHKqVKbSef++Fz6lkVbhdn9HmfYCmaGRY6CGkVYFvElNpDCjSkXbgaYXvX/JzuZaKVU6zZvu5MzYkDHkUqqwZNqEZR0niQwlcc83o4Xm51e4YYP2HaVC0xY/9KKLt0ZX5XuoKUquu4p2mGnkNqGdwXqP9ytK0e8TBzVljFgjsFUc3lBpJaKzJucsOebWFoOZwnTi0BbjSGbMUUp8lIfSqHkEIB/vKNORUhMlRUoJlOXQAQt/ulWUkxty0w49nGCc0OrWp/foe3GwlhRQGI7jnjjuyTVDzdR5T4sypWgLJW65NMuf8e6fKblJ0LJgRFtFqUzJgjpVCESjAFWD8ATFi9DQKG2Z0lIhWgpWKba9OOZVhZolJZAXc1lMS94eyUYba+i6BZOLtKKN4375rZrEuorgchsao4Sbb51BK+GiK2OoGbquk4W2gq5iZhqscA1ayRzHPXOalz70RlVWoI7a0LLC9Kc052kpUstMC/tlQrKU5ViLLk5+F62Fnb/aylTDWoalBCal5bMaR6uNMKyWXP8CNzIGTcU4D0rqU7Vq6JbQqtL1vRhSeQdqUtSaaTVRUqOqLP8ch/c9Vr17VcTgRVPLhKnBIu2oomg1CsnSOUKTLLbxHTrPcrTXijln0vG1YJ+LECpbjgucRS4UxfUca4UYoAQhsiGVwyonGqOYypzDDD0tZxnV10IOM6YWVIq8nSfC6T2GzalQFVXl2Zsrrt7eQ51s6NeXnFxW7m06/sGf/B4/+fkX4mk4vOQf/sMfUPeOcee4vbvlOBoolXSY+OXrG3wnh9Dr2wPPXr5BO8PJ+T1cWW75+z3aWTrjmI4jD+5f8J/+i3/KH37nUza+x9BYnWzZHCauvr5mLEo09SbvUa1VOP+LE71W5KJhBGRDLWLK1eodpFFSGFoJe8MbrDGs+oFSC04pHI3OaVbOEGeDqo2SCje7mX1KfOej+zy5/wgVC9PuhnG/5+pqx9PXd9zFyiebns4Yapi4fnvDzdUrdscdk2k8+O5Dvv/oIRfDPcJuZDdfc/fylrtpZgF0463Fb9c8ubxkPh6YDjP71694O9+xeXjBk08+5Kw/weAoIVNDJM6J8TAxjTu2Tzbcf3nC5aP7XG7OpHQsFmqJpHnk7votN+WW/nzNN773Oa4ZSArTNC0USoxs147ee/IcKePIPB4JcWToC9//9n2221OMP6WGSMkH4hiZs3x/Nc7olvmz/+mf8uf/nSaGiNk4TjYr0mGCznJi1wyrFa0N1CoVw2OMiDHgd9jch4sztsNaRrcopuOReYykEri9eUM43tDmWVjLtsdvztC+F6SmXjaSlNGm4+T+E+xqjfUrOufFQNOkvSuVhG8VreTGNx3vuKtJxkJri+/voeOWddex2ZxirSVk6SRfD1uqMszLJqaUWmJZQqA67vYcbl4QD3eoricbTec6YorE6SCcdeeJOVHTTA0BUkAp0Em43uJ10ou5RBYKpQzKyfi1tSXws2iaqgrGtBZpyEMZjBd8qbaibbUUKOOOcqwYpLozHYQHb1ZbmodDGcXxbCzdak0zmn5Y0dq7hisrRTd5wUZaR00BDZSSyTkRlJZYl7byfTqDNZ4OhbaS7Y9ZbuXWOrr1io1qtJjYHw5M8UCcdqTDLS0HAf1oI9ut9jQlHgyURjtLU3ahtG1wfSfO5KVZL+2u2F09pRbp8S5GWs1qCtRwkJrYpZ5XuZVQ4pqw/t9NfJRywjZ4t+ErKffRTm6hxq3EdNlES1XGUksh5KUydxbYkdZauPreSO2ssdQELQdyzUxzoOaEd1b65pUWkE2MVCMELpuPzKVglCalIJyErhdnb04Y16HdCk+lcw7dZJxsyUsbTKOUxHhzLWwG4xAKmlSklrJMSUpEaaH91VaoC1dR5UKpkVrFh6G0QvciNVkryRNVFS1LO19tDTOsWLmOVb8WSEmJpMNbUkUMVMqStWVwhr4k4hzALC5qNBEtv3HOmDyTa6AuyZlonQCbmkRkqYqm63KYHRbMbqPWyDTvMTWjakLbhrUeZ1akkolJUjd5MWaS06L9ivtZ1YSu8mfKdyFTAqWFDU9VNN8tWr3oxrpbY/yamsPikzHkaUfL49KvjQC3mqQqTOswXb8Upkhd87tboiqFY0w4JQcQSmY9eFbrNbnC7W7i/OQxhsL5+QdsN2swmv/F//yf8oOPnvD2bsevnr7gME+YaaLUwvE4M+Yo0PbcuLq6IaTEg/sXrLoVL1+8oD89Yb3dcHF2xpc/+wX78cjJxZaPH2w405XpuKN6x+As8+trfvHlC1Jr8lwYv/iKWHDVWb45I2RLjZLETlLvOyXUcknRSqa3pjM4I76QMI9oJSCqdacxeSmOso1YG8eU2aXE5oN7/P73voU/zMzHicPrtzz/+ilfXN9xbD34Ddt1z+7NW3KYePv2ipt85PSzC7798CH3hnNMM8JQz43p7ZGf/eTn7MJxef+hlMrN1Vt2t7fsVyeo2uBezycPPuD+yQUrvxYDoYI0B6a7A1cvXjPbQH/h+d76m+xuC5f37qGr4jCPpDly+/IVu7jHXSq+8+G32XQbBruFoklzJoXEvE88f/mWOY0M1TKHyP5mT+sqF2eGhxdrVv0WlaClyjSPjCTGEUZV2TpHQaOqYntv4O/+k3/If/1f/jekNjPHLY9ON9y8vsaeapzSwuqgkGthHCeM/h/ev/9HN/ezs/vQYJwjt3dvadNEUbLwKGVZnzyinTRgiaVkLaNppfF9z9YvBpoGvbUoY1B4FJXaEilnxmmkpgBa4fsNvu84WT1Ao5gXPKJGgTZSFpIqpnUMvaMWyCER5520GWmFGTpKOjLevCFNe/bHa8p8QDVZoHRTTC2Ra1o2AGkxc5sLqh0oZpCHWitanCFFWknQFMosWm+JkKMYeYxBdwNaO2GTpyjmnVqpRdqmlJVTb40TebqlpYwiy3ejqtC+/UCyVh5WrfDGsF6f4PvNQm7TgtScZ1QFjCUrSCURp0kyyNqIq9V0eK3YdI66WlGbgpqZggCJ6rtSHG3AeLyX8h7dKnXhlJdcOb7L805HyVWjMG6gKY3xPWi3GLWE3mcXw5S1RtjkaSYcdhzzTJlHqlZLpFGjmqbOIy0dF5ysoS0HBBrLuEkWJRmlixGoLWUgSkv8imW03RDtvbWJrJGDXmukYkWn1gatJOde8Xi3ec8AaBTJ4StxA8cUACkciUnoX63pxcnuRE/WljGMtNawnUOZFY6KMR6lk+T/rYMqhsDpKLCNVDMog++3KDMQwwHahM6FmiMlTQJl0kYQtosByrgV2q/p3EbinJ17v8FLbNNjXQdKQUniJVHSw918h9UG5z0KhdeKPI+EIlJIihPGdVCkgrm2SkhH8jxRSkGbJsZaFvJilq72micBKDkx97CUCinrKbWhdQ9NDmJ1nqDuF3dzoeSIaoteGAq2WwPyvbcmHfBGy3ufm0h+ECh5hCLPxrLjo6wYQcFg3AqloCqFMZ3cRuMRdbgGdQVN9GWsw58/xDhLrUpqWNNMjXs5UC4dGa7ryLNEsliQtrop4hzZvXrJZj3gzUAtsN8fKU6xPTkl5sIUI59894f8r/+L/w0//fnfcu9kDV7z8aeP+fDjh3zvoyf8P//r/54vXrwkm8bp9pQWCl88fc7d4YiyhouHj9gfJvz2hM1mw//qf/tfoObA/+FX/3um6cirV2/4N3/5E85cz4effsyqN8yvb/nypz/l9f6A7RYuRl1MhcpCkfdFaS1mVSW7ua4iJ7675td3B+iayWGG6jErgVDnkig1MayE+U9t5JRYraQTI4SZUDKXF2dssmK+e83+9obnL17zfLzl4Tce8cu/vaaoxjQlZjtze3dD3Xg+ffQtLk7uscKQj5GErHnjbs/Tr57zi+fPlgPJuwNXZnWyRnVWJmceHjz4gIcXD3DNU1KS//10JM2ZaT/y8s1bzr51ytas+dUvnpGt4oPLe6hcOexGDscDswk8/s5jNt3Aer3F42kpk1IVxv/+yNs3b7je7ykdlBTYz43+nuHsZODSwMY7FB25Ruo0kqdCUJFjsZx99JizzQfcvXyD1gl85fLRBzx+8jFf7p9ystmyfzMRLaw20lrZsISQJf+fC3OefrfNPc8zh+ORw90NtSUhKxnRe4kzZRnVmaaE9NR3KKNZ+47OeWqGOB2ZQuCoZOzj0Pj1hmG7ofqOfr2htx2qGYm2kIVfHyVKZY08XMZI0UUsGdUE5XqYJkIr6JrQpUJVjF99yTzuSeOdbEiue2++qjVRlpuFEJgks5hyIE53wl63G9zqhNoPJBo5BRkPaisxqJpFk9JiRnHDKQ0jOq4SPK7kuoVwp6xeXMyJRkKZAbyBVpZedSsZ8E4oWd3mFNttWVvHYDtSKewPR6ZwpLYmBTBpxq9WFKwsODVLVrwKea82pO7SiieBZTKQFfSdx/dbqZ217v0NscRImg9UpJ60tIpbUKlu2KByWZj3llwCcoAv7536ysoI3xhFOB7J4bA0c8nRsglpSBy5tcJC+1NaYnKq1iX+EmRBWaYBLYNSFe296LpKi7RhPEZbGhIlM8aJNl/rwk03MpUxFoN+H3/U2kns0mhynikh47ymVonx5KU8JqdIzRPKeqrxaGUxztE5iSW2HOiso+88ttaluCWSypFmZAM7joflBi+fHTdgvMU1TQ0TbR6lc30eJUGhGiBd99Qgkwrbi7+iRNRcaVkEhloTzvf0wyBjZbT0zS+kRa0UNSdCXjrWW0PXTMmVuzChadSWyXEmF/nPFiQHXtrSTLi0I4r0IbFBhaJl8QlAIcWAyUn8E84LtS8JjKm0+B5n29oyA67in6h1xmiH7tZou8L0azFQBjG3FdF6JDZXRf9eZshg+uVgV0EPYmCsReSiw/VSCmQouci72oS9gLU0LQcx02/RxmO0wxlPv7A3Up7QquBVZL2y1Na4u71lun1Ly+KjQCmIO0LMzJPG+4HbC0s1n4Ex7PZ7OqU4PT9H58If/+hH/Okf/j7OBE69ocwjaT+j3rzl9tVbxjmyOdnSiubV7Z79PINSnF9eUseZcZZSmWHoePGr33LedczjCEpxOAb+5V/+gjre8off+5Qf/t4f8Oyvv+Rf/+TXzEaJv6AV6oLe1svEDkArQ2lh6VFYwJySZAfVFvPqQuSkUlOizVDNcsBrjctVB1VhKHRuTVPgneV4M0Pv+eDBKfmw4+bqFbd3t4yrxg/+4Aes7ww/C7ccciSnzFwq/f17PHz4ASe+wzZDmualDjgTx8Dx7sgcInMRKmJBOi6mecadrlGlcfnkIWfbLT0OkzWtJuI8U2IizYHjceaLnz7lxfGaD1cPefrjF/z82TO2n57jtGMaJ6bpgDnRfHLxCSfDCSorbBVZjSJlNGGeKSSOu5Hr48TJyZpqDSePznkyeDZpxoeRMiaKlehjqQbtDMb0eN/h8dRUWJ9sBXNeCs5q/t4//hMefXGP6c0L/Nox5J5+vabTjpgru/2ItRVnZV37nTb3l69eyAlOG7R1NCt6TA2zZGadW1jP8ggwzbjOM9eJOQfKnCTzuO7YrE8xdiWkKOuxWtMvJKs0juJGX07jtYHxFqUU3nrR4cnc7m+oJbI7zhxvr3GqkVMWHnSRSEArVRZXrVBC3Jaxqpa6xqqSADKaHAZQSnLHVErNtLinpgk1dxi3RnWbBSMrRL7mzftms6YUWVk0Ak5R1WCbEoylsphuRecttWRCyeQstwbF4vK0jqZYctGe3nfCAdhdc5sj12Gm5CiAkOXGqAdP63tU1+ONk81t2cSy0hi19MwryczGEjHG4pVm5TzkRD7cCQvdWEKMhJJkdN+KoHabZOuNrfT9hhyhJUHmphxQZaJmiehVteR2YyK3kWWnp7lepIhSKXGitSAPlbYYaxaJI4m5r4bFLFh5V6nJEpNqVqYltTY5HLWKzhZsplqBt6SaKUbavaRHXaGbNMQ1bdAFGdXbHtt7Or8it0pCSkJKErxxzVlG1a1Q0ySgGNNBrVirqblwCNcyhg9HdC0ccpLnYpm+GOepWUvm3FiMdXjnZXpCpc0joUTpN5jGBU28EdfyQmdT2qGsohZhB1g3yASjQbMLqAhDN2yxfpCxM1BzJoaJkoP4GjBUayhFNrs6R1IO1DxTgkhStVVampdJU5bxf6tos0ggRslvmjO6WflcVlOL1NeqZZpSmkJX5J8tf9+co/wWeuEwtEzTyw2bbrk5zpQcIE0Y30ujshMglmi+VSYuxgqm9d20RgmTXxnB/cpnhJKDTMxalXtdazSt0HbAuQ7TbTDrC1arUxa5n4a095UyU9JReBM6Y9uKfj1wce+Mg/Psr2+WFMHyvlOw2qJbJcZCPwzCOPeOaZ64vr3BKs29i3tiWAuF67s9x/01r754yp//qx/z81dvqMbiN5ZpnPB9R1qKfU5OTnn98hUnDx7iV2eUOPKTv/n3zLd3PH/9mpQK/UnH9dzxr356ZHN+5Oz+Nf+X//tf8vNxxnadJABKQSuNtYI1tUaKuqyW/17q8kQpiRC32havgsCUGjLlU0oRxqOU3xjDer1BVUuIlZPBo5pISr3RvBmDZPibYrrdEaeRdr7lm599yKP1CV8+e0EIieQac4mcPrzgYntCrzSmNuI8EZfJUQqRcTfyxa++4qc//4Lbgxiha8mElIm14k9WnJyfshnW9M1hqOSUFvhYJuXE8fbAm9d3vM0z9z+/wBwqv336krnOcH3L8ThhfaO/XPHw8gLX5GJQtSR/xJicCdPEYbfnzfMbfvn0Ja2raGt48OiSj88v2c4zpky0eYLOUIsmR2k7vIkaOs2zX7/l5sPAo8ePOd2ckWMRk+YhUJTicnvG2HYcr45UrfC6MMdMQWh9QRfiGJjT8Xfb3E8fPIK6uL6XkWFbogcxLdlq66UIBCWjv/5dfzc4JZl0rQwFI41Ji2lOa0HGZlUlS6wc0MhxXsbMCWdkkY8pM48HyVjXzO76OWU8yiLEYkxyfuHSB3Sui5lIspDGWXHxloSqThb+mhc9V3YzRVt0NWmGU21ZbJUcAHRr4Hro1hL302Uh5FnUMgnQy81CKnAFixuyjMu73mOz/DlpPMhosCWh1IUDc5gYa2WedlDFba2NQzkvm0u/RXVrerfFrTaUEKBEclUCsmhZkLmdI5cjOhzw2ooJTItbPSrLlMUEp7Wi1UqaJxpVqkhLkp53Iy7nFo/sF6KaagsDX9uFOmfFeKTkhm2scMx1t8ZYRy2CE86zjFGbHtANWomUvMgdy+BPSSvM8lzIgUcOZEagGUp0wVoblYZSBd2UYDOd6OogrXbWi7O7VbmpthTQ1qCVw1qHVoacJrQCj0IZyfkW32O9eClKOMhhyshGJwmBI7UmWp6YwwQI3rU0hXI9xvU0a1DeY1KRXHtLlOVdMdaB9lCk674BulthrGchQWGUQxtLaTLSL00qVVuVDnO5USlAJCZrLJ0RLkFtmVoyMQTmMFLLLIdH2mJi9KQ40tJMzhM1RxahYTnsKjmUSfsP4MEPWG1QVHKbxZnerIzM35keShM3/GLga0qD6TCqA19RNaGKuNabWk6OJVLzSFPmfcVsXvwttRa0d0vBFDLhKfI+VmVE2lNGvpeSaHGWgqp3BMvhZJGdlu+usfynIldNK4p02DHdvpaiJKDz75jzFYVAWLCOlAsmNpzr8J1jdT4wjjtqOlJ1k4Nka4RcOcZMKuA3HZ2zrNdrxvFAjoXnz15wfrJBqUZoitmuuHKesx98h7/7+We8fPaG4zRzOFzx+vVrVIPtvTPGw5FiDacPPiaOgXC8Y5onvn71klAKzllQmlwLz47wX/2/fsOr3+745e5A0QaVi7wzSYBXTWn61WphMhRiKaRcRNJzVr4n2hIdlWQAy9mulf8fc2snzISqkWlcqzijSLFg7UycMzeHkTIM5FDZHe4oneLBk0uebE4xWfHm1Y65Vc4u1tz/4ILT9RaTFTEfcUrgR7UW4nFmd7vjMM5cjyOvb6+ZcqS2Si6FlBIV+PhbH/GNDz/GFOQDUyk5QVHkENm9vuPV9S13NvLZ/+QTNlpz/O0tt/ORRKROkFrk3oNHeBxeOVwrlDBTmuwQNTfCNDHPgfF25vXrG0Y18eB0w9mDLY8uLuljpkx3OCuHogwSwWyGQ1LcHjLx7kAa4NnTF3SdFyopwrnY3x7YPrzElMp8O/Hmbsdx6LgcLlB0pFQJcyLUEU2kqd8xCpfnCVKh35wy9CvMakuqFacKytj3D4a3vZiTlk0dliKW2sjLCK+pinMOrQ0hBnJKxJLe69PUivaOcZxw1qKsJTUoYSKECWUtne043B0wnfDejXUY56SHuiqiGUnGoBtoFnOblbE3xskmUBecYosLf9vSUpQN/l3WE4E8WOvxpxdinENiT1UZyfgiYytZWAsKmW6YJm5chcb2DqqM5+cUBD1LIpWEmva0muQ2k2YZfyKueWMctluJAWkxHZU40eYjet4TjfRtO9dRtCbGIzoH6lJq0JQhzzvRrY1BIaYwZQdwPdr1ElVsRcbmxlFcJ9jZZWnP40G0zZpRS0+74l0drDjzVdE0DdY6bNez6VcY50m1kXIihlGmIBpMUdSSaEVohjgnxpdF45VkLQh4vCxufoXS7Z1VHm082m0wrhN5SJslpyu359o0YZqwdaJqJTdDpVExApkcJmGKW0sqSDbeVSpyiKg5y22zRIztJLK1OK6bEiNRLZVqDMqvsabHaum2Vq3JxjnuZYyuLNrKn2WUoyglN1TkMKGVLIreaJpptALaivPb2V7ibLkuPo9GOO7QCol9LQ2MaqEWztNRCHmtkFtBe0Nra4kqhpk87piB2hQ1jdQoEc4MIol068W0iPyuRgslz3Zo3TB6+Z3STM1xcVTL+6ScQ5kecEvXeRPtXStqWlr4WnpvRmV5ljCD0CONPHMC81GQZmoT85M1DmwvB8IUaGmmpowqZZn6LGN364UxQAemR/cDyjr592WR41ppwuZXRiYVTXRjtKGmmQ4vfQHVo2zGUKkxMU4JX6UUyvcdejih5EQrM9poDJWYCpePnzB0HUPXAdB7T9dfMI9HXGd58ewlxzev2HrN0Pd8vFpxkhpf3r3mdWmSmw+RUgrOezarNVevXvH4s08ZWqDmkUTj5etX7McDXefpnMYOjq7OaL/lGDJ//qunuK7DuJ5aJ1kfciLnSDespQdGVYzX1NzQ0tGMbiLvGaNFwiiI7CGQeZrYvgSD7XucH/AtY0kMncX2jmrklhx3R8aQqQPMuaC6gZOzgcerLeo4Eo6Jq5sbWmf54Z/9Ad/+8CNpVqSAUqSSmQ5Hro87et/x6198xVXc88GTR+h/JQeTkqQSPOeCsoa//2d/xHm3hVKZ5h2qyOb++vlbQsvczTPbj075g4vPUEGmSEd1kNbKXGgls+kdtim0aXKxQ5FzJtYCGPIkBu3r13f86ounMFT++E8+IYTAB48vWGmHzjOakdIcFcUcKsdj4u08487PMWeatdXcX635zZeep29ucc6y3W6YxyP+bECnxt31FeuHJ4Rfv2JvIU0V3SVKERPp4XDg/qWF6H+3zd0OPW1tcEs9pWpKdPBldEMHMgSV2EtbqFtaaXFrNwR+sRSnSAwrE9JEjZFSMtOSwzVKkXaVFALkghm8lK2EkZaTlKA4h2qK1eaejIdrI88zJQVxfKf5vR7etKVbb2iup5VGng7kMEpxBYL1a8tGqABtO0CjjcP2PW61oe/klBvGPTkmcgWUQnVepvrvGpS0RRlFjCN5mqQvu1UZDZXEO5SSMT1Yg0HTug12GOS7qlmieEsMyntLjpF8uKGFo9xQlML1a9QwUJQhp0Sad6Lnl0QJckBoNctNeDmiiNmsLOPMgKKJ7vlug7DdYpqpaESrzTWj8ruiF8k5g2wsGKG52W4A0+GMoeRICCPleEDXSErC4E9ZbmPKLAeqhUpAWf750hOtjZFJQWVxuA8UtaBFkbYx43uMXWF8R78aoFTGEDBOAwNk2XCsW0b4rWGtxrmesMTqTEO6AcKRVsRgNCtD168oJclvhfzGuWYxpbmBUkSXVNbgVidoL5u60WJYSymSwigjaNvjFlnG2g6lhCnNfIS4p1RQbkCbDu8kete0lsrSJXnRLQ10fu2x2jKnDNt7eA2+H8g5kUOS9kUDqRRyOKKo9J1U14YciNOeUmXDMH6Fsl445269/P0jeom5aSVj/1oyVkMKB9S8x/Qb3HpF63uac9R5ouS0TMYsCo/WsvkpJRCrXLJMntwyDRAWLUb17wuSVG3yuzppgzOqCkuADmd78Vss5Tl4T+k6UljqeGOkqTXGbbDdGuXWqEVfLlXMTiof0TnSmuTkqxGpSLket9oulc7QjMOUxHbVs9meE1JkDgdKGqkrDdrR+RWmW+GMQzvHPB3J84hqE7UEoq78yfc+5WzlqTljl4SFVormPUPfsepW/G2Y+dtf/IJXz56R5pHcoNqOjIxtx2UMvR4G0jhxdnnOer0RkJe3DOtzPv/Gp/Ra89/9t/8NKQXpRjD1fUOitTJ9qQ0alhQmkQONl8tWyfjOybpVGsaItFpyWuKYi69Ba3RFDqq8M8GKdFZjprRIVRm90WC1GB9jomrLnCKpVloqHG52mE/OOB9WwisxjrdXe57dTqj7W775jc9xRfwYrRXSMbK7E87A9ctrbvZ7HvzoQy5LxYyZi9MzWqnSlqnAGM2H3/uYb3z4BJtk+lhLZDocORwnbuY97sGKb373m9zfXDDfzRzmHeiM7y22wTwFPvv+E7abLd45vDbCtFCN3CBNYh48vJ149eoNh3Lk4Y8eoqeMSRMPHj5gWK2lhTMVTKzEOjNOcHtz5Oowst9o7pWOB48fsjLn5KL4R//o+5AVL377JWGOJBXZOk3cZ7RvlH2mbAfOLzest71o9r3lk/U99FeBnA848z+8hf+Pj+X7lbhDjV0WPMEMoo3UpeZMioEcJmIKrLo1th8E0aotuiTpBKdSVaNWyZ9e7/ZCaWuZVqBqzVSbmG82stkITMNBt6WmzKobcN6zv71l3u1JYU+e90u7mZNxkTGLm3ktJiYadZ7JxzsZLyEyO2i5zWsLRrrKre3Q6xV2WDP4tejVKRDnvRiLvMbrDusHYm7kMFLCDFoynaplaXWr0sqFgqLEaEcr1JKo83Ep1JBbaJ2dDKabxE4kzuNJ45EaR6hJsvPW4jvRXSlLPKyKPluPe1o6iA6IgSaVqUoLs7suGX3VsrzI74pctEBw8niQyYM2EoWqFVWLMOKblSatrkf7NdbLAm67DlUVZQE90CCHQAwjlGmJxjmUHzC2QzkHVrRrlQPSz7f0wGPQzsmNywpxj5IxC31KLQqzNHo5tIL5MC7jVCPO7yRwmW7TY60jN/kNtsNATBmV5epfc2JKgWo7tLf4lV4y3Jbe9yQ7MIcRWx3GmfdZbeXuyWajZSNotYrzPc4yyXKe4ewh62GFNYZYqrQT5kxOWQyLRlPcFm+t1ItqiVF6Y2jKLh6DTItxSQKoxdzUGLyXQhyFdIHntHQjjKDMUoai0G5D5h2xy9INJ2jfSbFRTGJANB2qJVpK4pepDesHMVe2pUGxJoz1lJqJrUnszVp59t2alqUsCRrGdssN6iBSihH/iOp6qJVie5ncLVAoazuRBUqWTorlmcg1SAGpamLQW+A3tYhJUmm93BpXtOEepWqRXnKmxVe0lgnaoroV/eYM7R5QwwjWobsNTndyQwuTSHdaSYfA8UBpiesQmMZINwxYt8a5FUY3Mo2SCx0ZrTtqKZwOHdkpSuqoyrC2mW89OCcHQcZarZmnEWclflpyQZXEZ48fsh0cf+0Mr67e8PbFGw67Pf16yzjJxq6soVsP5BA5P1nLKJjCfH2NMpWvW2H39i05FUJqKAfNDCgM6CrTxVzEhBYiORX04qOAhjJIdSpNiIN6MddZkSorCm1kE28aTBOPR12ikloZ0NKnsB4ceum+qLVSSsOdbrl9fcN+jlxcGvpe4zYd2/WGFhIpVd7cjJgHZ/zH/+TvcTGcomtjDkdKmDns7nj2/CVzyqiLgYeffszj80vUPvHLX/+Sn//it6RWxbCswPeWf/CP/pgH6zPuXl+R0kQ6ziQDeqV5+J1HPHzwGJM0hEaeIvNxxq4U1mt6Y/AXK/7oT3/I5foUr8RTlXMmJEkWHe8mdocDL1+/RV9oHj245HJzwXyV+NUvfkpdRz5TPS1GjqlQkyeME1evbnmTb+kenfKNjz/itD+hM2eMB5jQ3DMdpIpVPbNqPDjdcHz7ljBnDrtb7Erx4IMzhpM19Waknjis6ln3Pdt+y9vjHSeX299tc3dKurlDmqQBq2mSUvhqafld/jPTdKXrHdaJFh1CWBbYhtOGzpkFKRhIJbHqLbnIRkStxHmmloitoJqYZFr10vZVI6oEakkcdkfCYSebFXLbVu9ud8gInpJRUfCbRQuYplmPsQLsKOmI1nLz1F7QrF3X47teHNHakBcQRrM9yllW3QBo8qLlqZCZq6O2QSoqOchmW95xfp3cjBeTFC3LSLdVWp2pIYp0WoWIJiNki1FiFmrL9MEoi3Y9WvP+pcopkJdMPlHgQbXJYQrkBI0RXVyZxS3vZByptRw2Sl4qHo2jDh5te1AV09pSHNGwXvTp1pCClVIwKdFKIo9HUp5F0jCWPI2UHFBLhAnXobsTrB8kc200pl8zp4IuQUaeyi46VkSjiVX4+3q5dTctJSFGs5QINdJ8kHpJ19OWKcJcBWGsfQ9In/lpt4IG0zQx54TTdmnwM5xszqkl4ZyjFE0ugfV2g1WaaZq4MwL80NrQktz8TCq43lNUoxnRfas1rLpTOjtQkVu8tL+J6dQ2JDKHQbse2wrWOpzrsdYQF81U0SC3hT5n0f1aDptaSVPddOQ4T9Lh0CA0RS6FGAOVhu+NtDGqhm8FYzrQCtNbtO0FcdxVBjS5SvugKoU4j6g80znxT9RUMLajdw2j5bOmoogloZU44633WNOTqyGmLK2LaYZ3nfJGvA1GNVqOoApWyZ/7Tp9O863o71l666uxaGcxflgiWnLjLTWjrTjttRbXekahSkWVgFaOojXFeZrtMday3pyx3lwwVKE0Zn/C2jmsFzDM7XEiWEuxMlksrchzUx1KQVKVlgJ+OSAp7zBabocFFkJjZcwT1lp8t0FZy0eXPX2rKMQz0FrleDiyPdniO8/+7RWkxHh7zdOf/hx9GPnmp5/ygx/9Ps+fv+Ynf/NzQgzcu7xgnEbW6w2vbp+xqaf4BrlklHOkdOT11RW1SHRU64ayRrxExgGaWAAUcYqEeZLJXSsCT9KamitFybPJ0iVfi3ATSmvikkf8LnKbftft/s48qd7HijunZXLUoE0B1xken5/xKn1FaUCrrM8GLren5ClRUuZ4d+T17YG3V3cc9wfSPKFS5u76ilAFk1u2jssPPuDe6YZzd0K+m3j19A2v31xzTDJ9NEoO7FZpjruRHBO60xzHkbu84/4HD3n84D6b9QkrvSK2KEa08cA0jZgMd8/ecrvf891/+n2++eQjHJpcCrUoaiiEOTDHwMuXN+z0jpPP13z06BEDA/P1kbA/sD1xrE825JgY3+4Yx2umu1uu9jdsnwx8/Pjb3L94RN8GiTAHKGHErE+gaYyFzekWXw1xHOnWnhwLm/MtHBP7EqnzDJseZxTzlHi1P0o81MKig///v7k/f/Y1rVX6lWfoV6AU4xw53kXGw4HWwA8D69Mtne2orVLmCec6aAL2mOaZ6+MR14sBqAFhHHHK0q1XHFJgPNyiSuTuuBjNlEY7R9efYVfr99x6GujVQJmOKN0t9a+L09OKc7u1ujDLhSbWasF3PcqvKKqwXt/H972wzBcToEIRo2jflCL1fiXIv8uv2d/cgFJ434E2hDjT0NKgRWWiomvG6LU4h2OAWsR1W6XY4j9kcyUXLEYpmVqoZeOuywasnZeTcqvoWkQny4U2Hxb5QNHCQcxKzaLfR+rE/Ke0k9iSWvjt7zZ6pYXsZsWV3p+c4fqtYBxzFJjHu+BLKpQUIU3k8m4RF52zvYOo6OXGab3owLbH6A7tHWiLNXLYSCVRDndy8zaGXAvLhYFuvRF8bzOUcERZcWr3fSdetqpQDTor5idtFM4sfd7vkhVGQU3UXOi9I7fCPM7UMKOdJyvB5HYa0vGAQiBlSolEwnggGE3LjW0n0kmqFYZOnnFr8FYAFV0reN8TS2OKgVJG1qsNqILuLTnKDQnnsA2qqnjn6KzFaYls1VboraWkAkbKP2JIeA0lRTSFeX/NFKV3vip5po3byI1qmT5549GpyIbqnFSmtoaykmvvrYPl9tgauIakKkrF+xUpHuWwajR2s8JqQ06FmGZClB4CbyzO9OQWF+Y4AlBSDVUV1a4lNdEqJQRazeSWJTXQKipLTFXX+X3MTtFE3tEGMcQnWhQDqUBukH6FJI1pGouyi55fIyVnigbV3aNbneP8Ct2U+E7eXnMbJmITSMsdYPsV22FgvVpxfn5KDBMxTORcKCFIHLAGWhaoUDVi8gtFoZvGLcCh1jKogvK9xFLjjC2GB+s1VjWs7d/jXYf1mpwFwFRq5fWzrzm8vebrV1f88vkL/vkPv81qP3MdIo8efiAxKGO4u70lxoj3HYfdAdedSGdFrbQKc61LGrBHtyoxUNV4144W40zNmSnMAtWqRZLANRNTxvoe3ffQhAr4rnJaRDMtXokKSjUKZUkclGVjF9kFo/CdxzjRp3OqwjlQjS9/8wVZZbrOUFVjc3mOa0pY8rcTb27uePr2jkDj5GzLfJi4vbvh1etntMFw8fA+Hz16wsXmAiO90dQsceBchNmOEoNfqQ276rj/8D4xCE9ide+cJ9/+hEF3rPwKkxQxyWT5uBvZ3R6Yppnxbs+//aufsD+F73zjG3S1E1pig/3LO65evub51Utmn+nPOj76/CEPTh7hqiOPmRwyz796Qd5UTqxn3I+UPHOYR4ILbD874Vvf+BYrs2Wzvkc+FpqKTIcb0jTiz+7hfEc5ZlKuxDyzOukZulPq/gXz9Q2344FJKy7PL0lvZ6Y20616dK0Mp55t94S+O/3dNvf1vS2d63GuYz/uuXn7VhyIyMhGN41xwsI+ThPNQOcGSoFWK50ZiIPjZNigtJLimRhE126GKY6Mb1/Txp0Ut2i5sWojMJNiG5pMqZCnIPGXXDF60ftUYpnaokyTxX91gnEdrhON0KqFUIWmgmhKrVHmQMkF268IuXE83C03ikStSR7unDHzKAOGpjgelbiQq+jBushp1vY9xXriHNBZRumVRcu0K1QnL5kAIxBqGpKTVy1DzrJgNyGYtRxoRUZgZXmZFUh/OY10uEGVCtqjXU+zvcgNrSymrwRLmqEYI9xxbRAKccN0Pa4/kUW6JVQupPFAZwTuUZom1USKsyA4c6TmGVXiAviRIpx3EwLQ5JYgRoqq6DSiUORSxfRmpXu9NIUukpdnQOBBDVAVpQvJN+Gta0erWkxDysk4tSaaqhij6axdkrfSDV8qWO3oNytyqcRUxXfhe6oy0sDWOabaMMpSFlaBs5LcmGTmiLFi6nJK0ZlGXsbR1CJSSakE53kHNBrWsiA4XZbn0GI7KE0RYiCmmWEtcpJekLbH6SDJDCPVpSXMzMdCTokcJ1IKlDST5514P7Uw+HMuqLxj2KyZDzuM31BqJbcqRijlsYNMLAbfkWsh5SDRRyUbslUO1aSpsJVGUAIc0cYISwCDchZrBpJzpBTJKaK9pmNAmYLVjtw0tWlSiaSc6PoB73uatYTDXopxrMEah8ITo0dHT83zEkFt4mFgMdMqMbNqIzqv85LdT7WQcxOJzjjM0jJpfY/r13g3oIqIF7lVqtPE1iidBdUtCQyZJI05M+/3DIdrvKrkaSKVSMmBKciG2NAo2xNTESSvGTDeyRRFiW+koqRoqWasFmrY2SB5YN97vJcpgPOeMM7kFLBW40+3vHn5iuQsWsOv/vrnxHnm+jiREnz2ycfc3t3x5uUrXjz7mpAiq/Wau+srTi/ug4G+3+CtI5dMCmE5fCcOuwNqbanaQ5TvVBsvqYycaFGqpRuamgqNiFKWnArWaYzRtIL4MXSjNeE9VOC9ZR6Z9PnB44zBao3VVbj1NaFawRbPNDbGkHGd48Hje3z+wUPqVBkPkVevXvFif+Q2Ktwgcd05Jd6OR7oPL3j08AEXq3NKqrhmyDGQDkd2N3cc9kf+6t/8NXOVi8WUE1PMdF6zcQP9asN22zM4T6etfO5SSTFyuNlTdCEcMm9u7jiEA7/56W/5xc1Lvvvd73ExbBj3kurJc+H1s1c8e/Oc4XHHpx894mJzgbcrelbkLLXku+s9pquEEghjYv92R2o73Jnnk4ffYd33nA7npBniIZF2O1IMAuxJiXr1nJukcN3AatDodEKZE/urO27f3BJsZLOWiGx6KybdMB7xqxNibpycbRhWazq3/h03937FcZw47A+kGnFOCUikVdbrLa7r6XqLQjPPUYwztTLGkVoSnfUcppFSMifrLWjN3W5HSVJa38pEng+oUnB+gH6N76Q8xWgjrG1rCHnGmgFjHOOIIG8bqNVWTCStYKym63sxKNWGaorUxLWtaFKdmaO4kvkPY+8p75n31+Tx+B9MXAtdrNUCpaKcE1NUlA2utgZKU1jGjSGjZnGZVq3QyqJMh3a9jL7bcvBo786/DaMQScEsRjoWnSvn9/S7hsSwqipoY0itUeaDLIbdWrqttRMiWc2S6rOWRodaXMjayGSgLSM2ZS1+u2V9ckotimncEedZKHwlYZWMhgtVRtGto8UMqUPlkVaCLJrL7UYhpiM/bN7XsZInihEDZq2yMOYGtQaaMdQlvqWYKFkTapTqXddRXcd6NeC9lyYqGlnJ7a21jKlFDlfLIa3vOppuxBCIoxSfNNmmlkST1ARDI6RKK4rV0KG0aKkpRlrJS82oIaXMNEWMhlgqqkmUrmroesswbKW/HaEc5qrZlUznOlqr5BzQreFQ+M6hcmaOy42jQYzSbKfVTM6RkCZZh0qgxiA6c45UCtpsaLajNMl615wxeaIbNgQzgO5EOtCJbC2mZKy2VKOlEAnxyagsXe3WC/41x0ipReKMFvQiZ3ilqRWKkV52tMJai7Pi8K+IttoWiaFojasNq4GSCGESWEqVRiun5T7oekvpemo9kcpQ4+VgEg6Qg5g6W6GUKhlr0nIAs/R9B9YJBKg1rNIiOTUtk4/W0E2Ij1oZun6Q0fGyIacUl0KoIy0dwCraqqOqTCiTMDz6E4ySsqbiBqx2VGdYrzboeMTrJpyCllFIprlWTcZQLZyfrigponAiAS24ZGMMhzuB4gyd5/PPP2a9XnP99pYvvn6BrrC9uM/t7g1/8PFj9v/6jQBUOg8lcXp6Qm7QDZ4QM0ZrdGvUlAnzxHQciSnSDRup0HZa+gWWCuKGgJlkm67v8cc6SfdGs5aUMq0txtaGdGooSTtRWSTDhjEW69xikF62+1IX2azSOcXppuP0dGB/GDmWxKlScAjc7I/cXr3m+c0N6uKU1VGc6C1mbqdbzh494MmTh6wQTkfOiZbCIh8Fki2sVwPH/bRMEwQ5G0sm3O159uol65MVG9sD4I0lTUGMyqUxzRMhJL74d0+57QJna88cI6vTDadnJwzWYGplnDK/ffaUSUU++NGHfPjgPoNfMeiBFBf/WC5M48T19Z5ndztO7w2M4xFsxp+uefL4Caf9KV4basiEOJIUtDgz3b7l0BooR7i65W53h+06tB+42R2ppjIoizmxrPaW13dH6saxXhkOz+/IH1iUrpycD/S+E4+P6n+3zf1utyPkSK81fdejhjVNy1jUKYNxHa0VxjAxpSDFKilivcXbjlArxnt0deRShW1utLjhVcJu1uizLWEO6KrwQ4/xvWixMUsWcxolTqsajSy0Mdez6juG7Rl50YNrjoJPLcvDAbTW8NaQSkFZTauOGI6yoCzZ2YYi15lKpOaEqaCtJ7QiMaiS4JgXbUPTjEG7FVVrTDegbA8abFP4YY2yPW4x/5UmZQ/WytQgx0itaUF1yhRBKyBlas3kXES7937JuWus8xjvxSF93GN0j95YGf/lpQq1RvEcKIu2g+jrzksWelgvPHvRDq1zdM4zjyPz/i3zvKfEEV0qjUpWFjXfosyA6wes6+k2G2rbUMvpUrgjcTWt7RJzrtQ041phWK3BbsRE1+TwUzKLM1d6oVVrGG8xywbUaFglmV1nGlaB0Uoct6XitECDQqgUa5mjGK6s04IRrlCsk8XVL0jKJAux1eAAlGI19LSmBEiRMrU1Vp2HuqQBqJJx9kbkGm0oOTM4WfxabTgKTSERz1LkJbaOFKPQ1ChY50TqSGkxm2VCnGSzU0b08pIFJpMDy6hLDI0LPESx8CCUAT/I96wb+znSu8yT8w1jUczOgF7JgcJYhs6jaVLqYg3OO7rOy82ziUyFUviuR+BAeUkpKOYoh6zeGcgRrSEp4a2XOEuJ1IIOlgNbxlqNqYVSMl4bXNeL5m8M5V0uHYVX0kAmh1gk/ud7Sk44K5XBTcn79c5QKw18SHmRFslJZEaDtQvWNmdKKuJXcD1OKSFKGiv6qZLCGmUhhEwIBbPeMJycYReXeqmLJGZEh3bW0rVG2l0Ry0zWGlrCWsEeW90x9APKeQZTuew7tk6qdff7W7z36CzQl341EMNICpVwmJhv73BKczdF3ly9Zf+r32Bq5ebVK65vbrm+u0U7w7BecXYuBVlzCKzXp5Q4k1oVqaUWYpLJSQsjbh4XKmOlGTH0trR4a5QYJ1GVViMFK+/h8l2WIlJcBpx5p6wj0BvjcEYaDzGLwXVhB8whEKnv0wiDN2w2Peuh483+yJwSu7sdbbcjAO38hG9/9jE3X/4apWZCiTz65FMuT08ZcJCD1DrTKDkxzzOxJsZXe378L/8drw87qRyvlVghl8rlw0v+9O/8kK4JBVRrLXtNLZSUGI8Tyhl+89df8rztWQ0e1TuMtfS1w1nPHDJGK6LOfPz9T+i9Y92vWPmVyJC5UVpmGkdySIy7meu3t6wHxzhVTlTj8sNLHl7eZ/ADvllaSuQa5YCZhYyqVh4zwa9/+oY316/48NEZJycdp6enrBb0uNKNw+0tVWfc2qMtTMfIwRkuL0/YbFcM/ZZWDc50Eiv+XTZ3rSrdyRad5QZorZfSgVxoOVNq5RiDNLU5T4yJ2goGKEWKBGQRrMTayFRaEa15tT1Da42xiqo8NcrmpnRaRq2iWRODuNpbwTnZOP1mwBhDzdJYFpJgK1vOZK0wTuNth15OpjnJAsDSgCSRN0POCVoWTRBN8zLWFA3bUIyhtV4Y861JrtWKkcuaAb85oR+2ZKQow1knm2cnzu9SKoMb0KphWyP6NRFZfHJMWLMsYllY5HGa5IVNMzoqKAFTy3IQaLjNGUYbSpyIhztaHEG3ZTwuWV/j1tS2aGc5Usa9kPRyBES/tyg55FBpVjrbM2m5EWfKHNFWEKKuqfcHmWGzYeVk1B1ToMRISFGAIU40/hSTjN5bRSsrPd8lo5VivT4lJ8lid8ailZWcaZMNnxLJTVGUxjS5xSmlZYyMTAJyzRhv5SAEoDTWKlbWUbJs2Hk5NFVlqEpc761VagqkVKhNvA5OISbCxUOQYpH/S2saVWQnI8ai2pTU2+q2OMql+W0XJryxi+kInNGYEqmlEmOCJiUbuSSyEkiOtY5a9LKp9HL6WAxkGCeJhzTT0ozS0ljnrcWfnoGRhfUmFmpVeO/wfS+55DBKxAoreEstpqc5V8o8U6l412GtZNaVdqSSscZicpHpQYYxyriVd4e3KDnrlg7Lu+FIKYGWSZDctjWlNbk1Iu+Qt14WfgXOOPKyyWgjsoouGeU8RkuEU2stxEOj6bSiqaU6WWlCKQKzqfJcqrIArKj0Q0dpmjDOjHnCqIrSHdZ2dEOHWw9QYXV2SclJcupYTocNem3IFXIuhCkQkjATDrWQasFri/eGlBtVKUppxDxTVYU447c9r25uiOmG++fnDNtTxmlEo9isV3TOUqIm5QxaDiDr7QlX+wMPP3xMd7fj+s0bjiVSjSKWjGmVk+2aZ198xfOXr+lXA598+wcYpYWnUMTvoM1ysSmVkiZ07N/7d5ZuX4TqKJPD1lgQs3Xpflq0diUxZqOW/6flN+i9p7N2MUMqclk6M5pMBDpnaTVQgVggKoMq4G3lwZljqxX767fUaSQ4w7e+8wmXxTGFTP9gxaPHH3D/5Iy1saiWUSSRYhYqXYyJbrXi9de/5K9++VPGNIkLQIsRcHN+wu//vR/x0cNHmHf8/FoJWbDIxzcHpprAGs6/dcEn559x8/wWYxud6+hU5IMP7qHQmPWay5Mt2+2GOkvDpK4KqkRNWRgiYZq5vb7hty9e0K0V3cWKi0ff5sm9S3xR6CKm5BgCGSixyrMVKqp6DrvEZOD1NPKLv/qai7MTvvvdb3CxGdiuPdY21NZhbytv3t6xfjRwfnbCYSdGv84PaDUQcyXFim6/I8Tm/sOPiLlAzhgE8zlOR3STQgWtGrbIJplyEvSqtkw5MR+PxIPUtKrS0NbjNxuyswJBWJrhnHEYNzPpCaucxITQhCAce7NBRnQatLKyeDpLyZXcAjFOqNowQwdqjTOysZEKZZ5J00htSP4VKYcQaEzGOOHkLzF0WSy0FCOQo0RwjEb3G6zfSBEIYLse00nsqmSJZXSrDZ11gqNU0v3daqPWxH4a0TWhfEfNchNVClKSl0kDOYgmX2qjRTm9Wi+YWa1EF7PaULPEvnS3ohn3vtNcvXvxWbKopQiFb4k21SIEM2WMLMIIYc84L93qWXTomgPGaMxwgluf4bRjPQz03UpYAouha7PdoJ2wjvOy8Bql6JfFQG6dllQScwoYVUXGqYK5DKmi24xB6lRDXMqHTIemEWnUHLG6EUe9FN4EctU427E6OZHxKJVWlYwXUZQlA2u9o7deYoi1ElOWz5kLfkGWxpIJKqGoi8nM4xZKWy1N0g5aJIicClqp5QALMSRSyaAbxzSilZXPXcWQJq554SjEOaCsoHF5V5DjDZvNCcp01FTIZaaWsBigHDhHmQxVa1KueGsYjGVYSVd6qeKw770jVXE5j9mjNGx8xzvaWzjOwoNImTlnjvVOnosFA6yNw+sVBZhLE25AE34/NFqaqGnCDT1FG2KqqJQwxqCtoSDTBa0azineoYL7fk1VhVjE7xJTfu/KpiR55tMRmsL7Qbj6ZjmsaUUFicott2+dkqCm8yy3Z6NpGIFUIZFWs9kwtA3agNdO6GyqYI0gYu1KCmammKgKxpyp+bhMSQzKNHy3AirMI0rJM52XuKO2Dguo1lCq0azh7/7eh/zo80vaHn7xs19y3M987/d+wOb8gnmaaaVyd3PL3e6ApeGt5vHjDzCd59//9d+gkMrfk82WzbDm5auXDKueb314wdX1EW0Uc5g57u6wSmO8xxotVb6o5ZlaetqTVGKrZhcrUqFJEFkgP9rIrVtpGcVXIzhgIxuXaeq9A3/oOjprJO5aG61VSsxM8yyGWK1QKtN58RrkBrVbsV6f0ftXrKLh6vlrnEA0OP3oPo+2G3bPDqiTNX/2n/xjHp5d4FrDtExLkXmaxDsRKuNh5Mc//jlziajWWG8H1O5WPr4Sk+39x5f883/2TzgxG8L+iDEZqmL/+o5pnnn56op2ZlhvTnj06AEmGOZupF8b7t8757ALGOMx645hWEnTYxIsdq6R2BIaeedTjKSQePXVLT//2W/QG0u3MTz+5gMebE5wxwmlM9WcUnMlhAmsJeZCGAsvnu+5SzvOHp/yh9/5PR78+j5fvXrNz37yM/7P/9W/5MH5KZ99dMEn33jMh/cecMgZdW65tz1jfH0kdHDqlurdhpRHvUs2/C6b+/H6IOONmog1QmsMndzQ2tKIZmjoviOOlelwFNdsnChpxrsOszpFG0O/WtMNW1BWygyKLILHSar7un6gFYkf1FTQRuOcxdkOYy0xBsjS4tZaEQd2rpLhdLKA0EBX0XNDzlKyoiTP6bw0VblhRX23+dFQNWMWTKNSBVWyxPyWSlelwNoO23UyrDJONinvyalikYUM5ykNUg44XTjEtGAzRffTugkAJEaKE+pYXTCQNVfIFWWUOIbXW1SOaCMbTW5yS8x5ogQpVlHGobyDBQLScqGRMMpgVAXjaMZR0+LStwZV5bZMaxhdxTBkO6gFvRpwG4F7GOPofEdphpYjTgtTWhtL18nf31vxXjRvSFFO06XJSF0vmVrTKpaM91a0Um3JS8NUTYlYpXs+hEBOgaEfKCWJHtwauSZSlUVda+mv16sNfhiwWg40uklcSwyJIi1Ypem1FYhOiTLeNVIYEwji4J8n4jy+B35Y75mmo0R8uhXGOcnwl0TNDW9kE53nSZ6fxoIcbnhjqEU2+1rLElXi/aTHbx3daiNwIfUO2gLeOfEsWENujhS9RK5QaBrFb0STU5rVasCheVfmIs+oIldp0WuINisfrL7PoYcpMoeJZjS2W1GVwXfDwlZoWN3kUKH0YkptGN+TSkWrKoVEylNpWNfjvYUa5YK36N8aJTdv52CpWnZaoTEULUMFQXhKlLRpqRet7xIuSr4PamMB8skGXwXrXFshZDnwau+wdiVo2qUtMMxRCpGQ36Tlxhj3oCr9aiPcBaMpKKw1nDpPqXIgnaN4LeQ3rYBmHI9yELHdAqGQqZ1CQDlKWbTRfPhgzZ9+fElXErkVHn38ATdj5C/+6l/x6PSCzz77mPXpGScna1KOvHr+itev3xJK4qtf/ob7l5c8/foZb6+u+OrLLwW1rDVDN3C2PuH1lZTD0BrTOGKM4aTr6fqBOM+YeRb/D2Jg1gqalvXxHU5aIomyYZVW0aaTWGgV9HJtmhZlelO1SBLaSlvccZqIMZNrpVRR7ltr7+NXKRdm02gxM6x60jhxt+8IQTL4tVZ2Nzdchcyf/eBj9Bw4TIHzJ5d8/OhjbNUYDSUlwjQzHWemceL5b18w5oh/ssaUnnwbUVW9NxaXJtOGbnBcnJ3SUpKUQ47UufDqxUt2Zub0m+d88tFHmOxREa5v79AaPIauGeIkz9TJsMFkUKZSc0ApOVCkeSkaq5pwTNy+vuXN22uu9je8nXc8/vge9y8vpY1SZZGVUiEnoRa2VJgOkeubW9p54vMP7nPSnZNGxSff+Dbf/+M/5O/+nb/H9eHAX/3Lv+K//H/83/hP7m14cLHlZNVB1szzjF7BxnhWw1qi4iwFa2qp3v5dNverN18ynGzFpWoNzkkrl0FTjSKEgNOaGBPlKOUtrvMMq3tY32MwWO9oFYxukg9u0tkuWmMCJbpPrDCPI73z6I24Hr2xy0k7LKf+SgyZOi6NYlVGE9Zb4oK81FZMUaWC6TpxiU8jpkHvOpR35FxousrLZDUxBJSW23GOkXf+UK0NWoN1PWhDUZKv7IceZQ0xjaJXt4pbr4mpYVslLu781BpKVWwndCfdGkp7mhLwQ8mZmEcqBectBjgZeqrz8vJp2I9Hwnyk5UJeyHMohcry4yplloVasrylZigRnfUyPpMSCmyPMlpiZwu212pHodF7w2ZzQdcNjDdXjLtr5lrQCsFYpqVxzvcy6AuFmyiMeNvEmMPCOhdNTrwGrWbMouDVJpl+YzSpFiryHUwpkfLiGVgMikVrtKlATy0F02dxla5WeGOX6t8MLZGiZO8bSiYSRYx2KUZyES3NOnFZtxSwTYwxJUcwitREUw4x4Z3wnWsS3GkomRQTdaEoKsQt7TppIsslEac9TgnjWnjystNa36H1Bq8aetigSkKrhq6FhFqkImn70hjcsMJaGYNnbfHOMax6aVesi7YcR2IMYtrrhITXVMUZQywKrSoWmFMla0cME1Up6Ld0fUfnRQvUJUlPQ2nsxgntnICKrNxO3XIfKLUwuJ5+vSHFIIZQValaGhpbKWgEK6uRDDqtovWCZa5V+OeLXmuxtKqppsnhrFm6d3/nAm0xS9WydAhQ8c6gm8F1Z6Rc5bdsjVIVISUZrbTGOE3U1rCdl8OGdZBm4jihzERnNKvVCbqCMgpSljrpUt7HXGsp5BqwWtFvTlE1UfNEyokUwbseY+RZijXzB5+cMcSJiYzf3OPDBx/wjQZr4K5lfvLLnzK9vCXGxG6ceHa7x2nPy69+zW/evGU3zuLtUIq+65hmObj/f9v7s19drjTND/utMSK+Yc9nIHlIJjPJnKqyq6uk6lKpuqpLHtSQLgT4Rr4z4H/Id770/2AYNmzYBixZaLXQ3XYNqhwq52SSPMM+e/qGiFizL97YLN1IgBIGDBfOygsymecw9/m+iLXe9b7P83t2uz0//+rtcrA0tHPkUmTUVjIlRWppAjpS6utuneylIihmaaWj23IYLPudlh6l2EgFZSpsgYa3IkQsc2QMUQovpDJrSkaaEtYo1p5WIebKauVwzlFr4WHaU4zCOkVJgl9N2nK+3lAyzFXx/jc/YDAWVQohRdJhz/544LA78OawY15VXnzrIy7dgJ0Uv/qbX1MniTnVSlEKOG85vzgTsmPMfPnLz5kRN0/3Qcdn73/Eid9y2m9JY2E3Hbm9uUev4eVvb/npbz7n4ntP+e6nH2NiRncG5zpUCtQCrcoYIqfKw6sjL796w9v9A/oETk/WpD5x/mLLxckGVapoD6ojTRP7h5GH+wdyyRzmkcuP13zj6QsGteb4Zuav/4u/JV2t+OM/+aecnJ/w4r0X3P/6LT/4oz/g9Ok5fbS8envL+qNztq3nLh958o0PcfpExKKL+6XlJvv973K4P33xAu97SpMHqFTh9WrjmWOghkw0mkOO1M6wGbasBmnXSpSnbAKPdrW6iMBKljSfMI/03oPvIReGfkXfdVStOOxH4v4eUxH1qdbY1YrcisxWSqaFiO8GmrOCk61yq9FaI5AvoW51J6dUJalVKI11CtUJoEcwmApQ5NZwg4VacVZGBHIXlDl1v/hyDZZWFP16i1qtxL7VoLWJWLMAZdRjrnleVPIG6yxOIX7NkjEo+m5Noyy3v0YsDaUSsQjfWIh3YPu1FCq1UFNYZmSLgEbJoa+MQ6lBKhNVBTyjDN3Q4zrpWPRdj3M9RSmsVlhjGZwlz5H93TVv33wuMbduQBuL00v0rrU0VUml0sjgDM720rJTilyFD6BVQxlNzBnQEj0KgsmtosR1TgJSWgFrFV2/Ev9sS3TG4PseZR0hZ5mfApu+X5j1Mgtti2gyZQn3eYy3NaZSllGE1V5sbCERinw3tSRhrNcCtdJpjWqVOUdi0mSajD20cM8VjVQycXxYqHHg4x6MEBBTaaSaJA4TKbJUK+Q4g+0pxwj7e1qOkurnHUUL3CZqhTGWOB/o0yTFqbb0qy2DLpg4UksUMp4ykl6owA0b6YApmXfPeab3PTk35lxRztBrRWcHdJPbZkWeu5QTqUZySdh+YN1vMC3D0sBVJdCUQ2sNWAE6IaCgSsNog9NycFS1fMdWCklNW7zCiqogN4Tv0OTdb60KMjdnKkGEmNkszgeJycWsyDRUbQzeyaho0ROopiSBUBmMVgxLulnTnr738m5aK0CgmmneUIBpnhnDkXEecarR9ytK08QYyWEpLLWmWE8/DDgSMewFyKQUzQrvoGknP5tSWFv47KJjPI74zmKSwrWeFCdiCDw73+IuL/icxv7mgV/+9nPKySWxrnh7HAHpUhzHA/OcMNZgjKVkYaZ/+fqa9SC++b7rMUaAUrE2Ssikr+Ey8rq3JmFFxvhl71XyzFEoSyeNumiMFpy08d2i7m+SJomixkRMGakdhHn/eDeUFEAJdRE/fCXVQoiBk3XPartisIajtmjrKC2xvx0plyvmkEibLXOZOLs4g1xIORMOBx5ubrh+eAsrz4c/+ITLkzPWZuBwc8fD7R2/+ulveTuPZJRouZKIRc9OT9CtsLt5y5j2zGvF+y/e46Nn7+PUgMFQQiHNkf3Nnvu7e1bR8Vf/9oe8aQf+8jt/xNoO+OUcKKnQolxeQkrs7w7MOfLV9VumbeCjb7/PUD03P73n1Zs7/uDPv48rnlIWB0pO7HdHxsPE2+mWiw83fLA95+rsAq9PqBPcvHzLf/3f/A0v4xv8qeMv/+zPeHh7zzc//ZiV2TP4RqiR04s1Zizc6h3De1cM/gk5e3EwUDnuI01HvDO/2+Hu9CAvXYHWJLBBZZhiINeM3fQoNGdNboU1CwXMqk5sA2laNjB5+XOS3OgUA269Rq1PsUtF6U2jFE2ak9hyhh7TPSHMR1TO+L6X6nVMrPs1oSaK8WhtMU2TiswYUVaEalVm4UqLxYOcyNMoNq6uw3c9MSfxsFovASDLvK81yTJvWmEUxFLIc8JbS287aZ3XJhsNj35oJ7ewLBHyqRZKK9I1MA4/nMg8tVWchuY9rS7OAe1QTuazNYkyv+n6dftSW4MtGee7RQVvyLkKqrWKwl4ZjTaesrx8rWV63+P6nqoUA8scrmaIE0YbjPXoVtiPE4fpSKsRN2zx27OFF65ZDQtZTq7xIq5Z7C8Kw+A9xgj1LueKsZY5zmw3Rm5niGAO+1gAQUmB2iCnScRizpJSEaSog1oTzPLdlFZRtfEwjSKYq8J8VkoU7cNmLdX8HCi1Mk/CeKdlKo39bi83e61Ed6HlYGi1QErMgKVSrQfnsQg8qKaKihGjK5uTJ8TTc+Z5Jk07xjAJR6A2tHIo1XCrFdp6WpMgEikXNSnO5BIWcuKMiRbTD6A91gmVzXY9WCekOxrKOpI2hAauaXRJ1BYxWsBJJQaMDlidUUa6L2kSqJRRVmanTS8Qk0qMkuYYa8VYjaHHDWucNhgUOTdiCjIuQ+aupc7UuHQrWkP7haDIYqfSBmsMSokDQzWx8JXa0Fpum7YJA0NrTUkJilj69DK711qjXCft3tpoVSyozsi7VIGSJDpXrWVPyZVln5HbqGqIyK2Kn7xbbUREWwUKoxUob6DbkMLMMUfGecYbi+k8tRuWEB7H4By6ZKJSeOtwRjZ9p+Tn6qwRISWFP/zmM0yYJcFOiZtjdzyi0Xz02Q9IJXP53qd8WhJ3b17LgfX0CX/1w1e8PP+AuP8ZOWbZa3qPM1ZCtRZdwjTNgqPVim69xXXyvdeyHOoLoe2xbV+L5KvrCo0mhM0cpfjSloZciFQTGE9OS1iTW5TyBeaaqI8A4yadGx73UZCLlTwBGDRGqaUrJ8XBxhsu7ZqvxtfEOXE8RnCG5+9fYmxHiEDX8/zpM+JhYj7sePP2LckGtp+c8+TyisvNM2w2tDmTD5Hrr6752S9/QSKhFYSY2E+BquF4OOCVZVaVy2+/4Origh5HV3paraSUSfPMw/WOl799zeu7G/xN4e+/+JzNt6/4/mffYTCDYJJro4bIuN/zcPOW1uD29sDbcMuH3/mAp5dPcHXg+PpAZx3bTc9msyYeZnKJzOOOWGE/Tcxqz/PPTnn/yQd0aotVjhI0++sbfv2LL/nZqy85tB3/p//D/4WnpifNcPnsOX/9737Md//0Q164LTeHI+vLjvN1j+7PoXUo5DtOpbI/jhQ1cXb6O1rhbh/eUGKhxIjvOlrvMcbg/MBWC7Eu1UKeIypWMI0pB7SaUVqR84wusJ9GUs7EFMnzEdMNdKXQeY/thU1tUFRvcEiAiEOAKt2mB0Q1HXKilj2HIFqAmjI1FrzvWG23xKrIcabFI01p8hJdSFO0pcWmlCT3zNMRbRyt89gKaYmurJ0HZ4mp0A9raWWVhnUdxnrqwv1OJdGK3LhTzZRpJh2P5OmA8z25SSFjtYSzJKWIKdGWvGmdC8P6BOUFX6qSRlOwTQ50haToeW2orcMZJzYt1cixMDhpwWktt00UkrKmNW0laF8LS8u6kfNECjNzkCQkjGI9nKKVITXJ0G7N0mwnrVC9BAYpg/VNZqjWyvdUJdigVklS80BRWgQ4JWBRlBCxKuKdwxhDLpL1XBTMRpNKQ3svt3ilSU06GXNMHENcsqHFr51SYn84UNK8FBw9rluTG8yHPdMc2B8eUC0t2EstkbY0CR+Kk4A9FjRv06LCbqajxnER6RRUOpKpgou1Dr/eEJshNkWnLX51gj69EPzrdGQ+HmhxQhkjjPUcMSqBUpQG8biTQ37xnzc0VYs10NlGbdIh0rUyGAvWo1BY3XCqimAPS26ZGJYwItcR8oxCMxdNq3G5uTWUM6zXDrfMVdNiV3RaBFeuIfkHOVKmIyFHeSbmCdP1VL+RCGddSDVDBec7XN9jFp+901VAUHmCJql8JdvFVSChM1ZLUJR5VCSi6JzEF6sSMarRaWEfGCWt4NYazcjP15R0nGgIXbAWuiIwJ6xiVloKziZQo0xDuwGMiA+NtdK1UZpmFK4WDAZje3xF0iRVwzv3dZY5KCiVqmFlDSUvCmmtsCWjxplihchoHXxw4qg0uqUbp7UmxYCxhvFhj2mNOM3c3txwe/2aocKHJyf8Px9+Rthe0n3DoscH1q2Rb15RYiCXhvVebu+tEUJEG/k+hQuhpXOqqoCq0NJyX1TurWSweeFmVJqS39Nag1aQQJDHwkBLkFcpizBr+d+QX9aW4aRagkkeEdBST0i/vizZCPLfC6YW3ly/4e3bezCZahS2s1xePqFn4M3rG/ZZi51sDry9v2X94oJnT8846QZUVtRjYgoHSknEHIg5sz9OxEVsXKu8N7UqHh4OvJ0OfPrpx/RNCtU4HSkqo7QmztKZubt+4N/+u7+hPTWsUmWfZ77xwRO23SBi1hRBefZvd8Q6sXs48Opwy/aDLd997xNO+y1erylRsb/Z88tffUm90uiMxPqORw6HPebUc/rehg83T9lsLujNBo2lLhnw4zjRX8Kf/OV3+Td/9SN+/pPf8L/53/7v+OAbz3hycc6w7elNx5uHB4aLNaYoxqrYmEHcOgmxIKvGMBjudxJa9Tsd7qvNRvCdtYny2FjCcUTXRkwzpUkcXk0Vby2qaOoc0Epm4Lc3X9HmkZoCRnn0akW/3aC9zL5TrdgcJX1NW0ooTDkQx5maExYjpChviS1L4hIV3Q2oXCg1gC1Ubdjf35HHB+RqLlWt0Q70IvzRHuMGWk4Suam9zO+MJeZEmo8456G5xR+qSCnStLwoTotwqKQi6vxSOBx27OaJUsLXcZ61NnJUiDJIE8MktqHpQRjQWFTfU5wmxJEuZ3wn2dXT8YhXYi/SXS/xrKbSjFgBbVOgNFUX0E5apM6jaxZmNJKAZY0mZ9jtHyTmVBeM9TStGU5OUd7hrMfpjlSywCtqExeCNRgMK+9QyhLDiKqVEGbK4UF821UsGM0YyeoeNoRYmWMizHspYBamgVECE9FKS7FkJICklopGWolNawbrUMqQrXRUKEXaq03JjXpYY7oBSqIohaMxHh+oKVBAKG2t0ZpE/dYmmgFJljNQIq0llBK1cWti94kNSp5R1SwCMSOBQHHGaIXvN+QwE42BpvG1x2ug62kY9PZcLFxxFsHduGdYbWXMoIQmhusxVoRm1ovXvtQih7eRO+hgDZpKnY4cd/Mi8mqkaSSlKOpx32O8x/lF8IeQ8rw1WKuF8tbANBEYGq1ExNcq02HHNM2E8UjMk4ybVJPCst8wbM44X58IMyBFESSWjCHjli5IK5lcxbIYU6T5Nd5YtBaNgwHQjVQSKQZsL0E/Xg2LFkGIi6lJO7eUikW6TyUE0QchfmwJNBHRl2owF8m0R8l4zGglP3sOuBSFDFdFg1IKizpcY5YzTbT/Sv6mFFoJ5DjhrENpTS0QYyYsWeGtFrwTHn4ed+wfblG60PU97714zmUviGSaQlsleQ+10MZAyYkQA+HmyDgeefvwwMvdjifzDH6NPR/g7AM621jXyMOP/9/s3/wWVQveOeZSeIzz7fsVj+mO2hiUFWFvLTIG4tFeyHKAI9bjVjJKLamOTfpIC7dYnDx64eejFnGkdACE+9gkV2LhS0hUrxF+wDKuoQkVUGl5l+6PkcMhkMcj2lWGlcNZTcUQ7/a8NDekOHL3ELnf7TnbrHn22Sc8PT+jx9BSpuYk2RklEw4j92/uePmzl/z21WuyqsQse0xDROOnT0948uyCbb9FpYzKiWSWnpmCOgtw7O5wIHQSr5yTZnt5wve++xkOJ52taWJ/uOfzz7+i1IniGh/+4D3eu3zGyXBGmSpxTowPE4fDkUhke7UR37+DpDL+ac8HH3/ESvUY3dPZDt0sYZbCPIwTVQtl9Qff/i7f/fA5//qHf89/+d/8Hf/pf/7P+MOPXogwOWeGsy1xTtRLz3B2hdIdqlVSTuSaRY8zOMbRMx5/x8N9szmjxIjVlfl4JMdESDN5nkkhYvqBphs5Jeby+GsOYmnrBlAKc3qGX+JFfTdgrRFf7TKDpi1Y2jAv0aqFliKlVabpnvHhVghjRlqSuvPipS2iNHe9x3SOEEG5U4hZCtAmNoGSIyDEI2qSUBrAKE0jk6MSSUlr6NxQIclh2A3MUQA6nXbgGnMOQhubjqTpgLIK6zqU69FFk5fCwRhLM5qwC9gmeM2SZU6sKJix0PUDeliB65nijKbh1iu01eSm0H7ArzYyV1+sNyA3nfUwAA3dFjFjDmhlMHpRC5cks/TtCWVYYRxsukEUscjooShFDolBGbS10iLVghUtj+jGcCSEHeN0ZIwJ1xAOesmQEq1pcJqHm2sshW57gRvES6xyFqtaTkwx0KJ8ds5oWjwu4h+xOlHEHVFrpfP9EukI3hlyyhinWfsBCaXtWVvLYRqF2qUUJc2UJLdQa8Xzn9IsKXump/kOuzpZ8MOZohplnijjXnokasEFGENDo5wkIZamUbnQtCYbS9etKEt2gDew3Z6AtkwpEtDyfBVPUZlawHZrnNlSisyirYYyH9kMg3j7jSQB5pSY9w+SsJhGSlwicZd5L16AM61EfCk4I3NlasV497V1b915SSJLmRRnSeqKkd3DHQ+jpBvqWilKibBSO9ywofMWlwUYpb0l1wimw3QbvC7YmhmDoJ6rUiRtqc7TdxbfCjllsQqVTK0BmmIuFZss3TAwTaPYjLoVh/G4uE06nK7ELFyLqholTII+zRFnGto4QgqSENj1+LaSA8YJPtc5I+S61Zr9NJLLjMoRp0UwmlIUBK5CEuk6yYYoKRPDgbZcApx3rNcblLOYKqLZVA2m62glkbqeuXOUAvsQ+MwEzjpNyxnfS367N4bY4DCNWGeYZ2mhjrHw+ctrnn38AfEYuLt/oFaH7wa8VpwaT//sE85N4FdffIWxjlo9MUbptgwrCc5ZDvNWH+1P0ip/tIYBNKXBOoz15DCjcpB9UItFlK+lwohFFBH5imVz8bwv+iPxw8t/5AM06LaEYYGQOxuSm94qI/BwONKOI4OXCOOVt+Qx8Yu/+znHD8WSHG2P6TXvvfiAlbUCmEqRtBRVqMZ8kOLz7vbIf/23f8eo5JBWRqilNNhcnPAv/vI/4NxvcE10EBhN7xylVNIYuP7qlqlV8mD4zu9/i0M9oMfKhx08fXIFrTFPiWmcuXv7ltoHVhc9J6cb3n/2MWfDJS2KTbWEwviw45c//y0//fIl/+Rbn3DSbbDa8ewbW4b1mpPVJTUmEUqPAVWFqzFPE9M0UlGEBC+nwNnmlP/Fv/zn/JOPX/D69QN8Yth4TdWahzBx/uxMxsVujVaeRxHLlGe6C4VKmvmQKOr4ux3ux/sdcR45xpkQ5SWkZXQTClIaH0hxlpm2suAt+FNKjhSSYFiLwi3zUasNORfmVCgx44yjX/cc5gPpIBjUMo3SDrOS5FVQ1BCx3QrtPGCoLZNTEksehjQFEX8oh+57eTCLIBZrMbSY0TSsu6A1JbcoDTlmHvO2ldY0p9FrT+tkHq6q2LmaNougSG5DrRPlsVWaWhNlnrEY7GqQLwKxInXbc7xfAlBKIcdJZoDaMKWIDiMdjc32FG081jqM1ShjcXYQS1NOMss2dolAFZ+t1kiqlWmSEKXE78qykTnrRdi4QNeM1pIG1YS0po10AbQx0CplAQyZHGlh4jDvCSkxR/G1UmRkUbSiNYf24oTwxqBWMuOqFbpW5aAu4Fqh9Z7sHcaeYbT/WrxkjWU/zez2e0o40uIRo2GqZRkvGCbnUX7AVYOjEmMmlUIyQltzWm5YxlpyCZQ0oqul2oZ1Dr9ag/ak3HCdl65DihJLK3YIAYIYjTIdzYjFs6UgoUTGk5ZC0daKq0KJS3oRED7ciDXKOphnXGvgeqzrRMlNkyCYmvFdhxvWzLUwh4mQZnzXwQxURYojJSex4pgO7TsqCq0dbhjoVqf03YApSVqwxknL1on1UVXQrQiCNyVCyKRamacDpVV8tyJngT1Z32GHC/phi/Udm7Vn7Tx5IedFWNq8s2Ryp8w0zjSlhPhnxMo6HgK7JWyk5Eo1lmo8VhlWKxFANmXphpU8H9pitw6NYU7x61vg4AyqXzGmhcxYCilHyRc4uaC0JrAet6JRWfUe1R7z2xXeOWq/lv2vNlIQ2xdWxjT1+EAe71HO4Jbu0VQLznZSgCrNdDhgtMTvdl2P0wanFd5bztcr3rs4l5x6rfjnP3hKWkRwHULEjEUtQjZHypE5Zm5vduScePL8Kd/61if89oe/wa7P2awuiTmixnus1ZxcnDKUEz7/7UvKIwuAhraGrluLVqUWQNNU+e+4n9RyiXn8LXJL1xi8G6hKUctjjLMVMItabvGL8NUugrq6jC/luZfRo14y3fPjjF9plpxglAarKk4XVCmk0Li5O7LSwnufjzN6MAym4RxM4463c+X973+HJ5cXrJXBSUIQJUcZnxaxMdrecvtyz8svXpGN6IlMFSeEuhe1/h//xR/yR7/3fXzz4nCKgZzFhkpu3Lze88X9LRefXPC8O+f2C8V72xPYQ3d2yjeff0Q4Jqb9g7BbLjuerVY8u3qKRdOrgXzIlBQocySNM68/v+Xf/rc/5Xr/wJvbHccyc3q6Zttt8WZAJyXvcpKuYUiBNGeODzNvbx44ufKsz9a8OOspc2E/KX7ve9+i/PAnfP7lDd948oxQEqcnG+pDpD4d8KajJCXx4zEwzRMnG0crjmmcGNvudzvcr+9ekucJV8Gv1oQq8Z/hEEjHA1o1jOuw6xVx8VN7baHvsd7TeYvqF0pcKKQ5LF5Lhes8aM1hEqQfTdO0wa1PKIAyVkJLQkAZTXZy46sxg1LYocd5i1Yea1foJe88zRM1Z0IMKApMoJylW29AO3IQDz5FYZooRu16KzhOP9AZQ+e8zGprokShnlUKvmqZeWoo1ZILCx0OSInedKIcR6GaETHU0rbsu4FkO5xuMKyltaQXT3nXU1vFaI1FqGosnleNojPL4Vyl7aaVCNpqLosP3y9xsZBVFZqURuZx7bFaV7QFzauq6CiURn6dMZSgKDmx290zjXu6oUN1YoMy3QAtQ2nkMOFaRqNIc+Rhd0+pWeiBxlIRr/90fICS8K7HDhuJUAVst0JVLZhU51g5y9xWYA1xPoqy3i4uAttje0+eJvI4oaxbBHWZOE+UMFOyCM1qmhbBibRsO9sBGrV4rk2OUhwpySi3ztO69XLIC3CnxoCqBWMlLMk6wW8aIxhKCfWJ6FqYciaNR8gz/eaEhINaGdZbStN02qFqolmFoSc1GO+vl7mogX5NWHDDErTi6TenlGaw2uF7L5s5je0woJUlx5miBFyyWXXoVmgsueiLYPCYKqrrMd6QUxKFf4zYUuUWsL3CbdZ0vscpzco5HIFyvGMOEgp1d3tNm2dSPIrtTolH3PWOGUsuYjXzmxNWmy0V4VE4Z/FGNDPpsEe1RK+XkCSt6YyjW6yg2Yt4MS/WxVIqg99irEIrjbZKHAnSKcZQsUYTQ6KGJHG5TWh3tQjVDKWxDdCN3hpOV8Kkz6cnHOYLEQK2AqZj29o/kOdyZELU0iunII4YMuN4xCBJcSAC1k8/uOSEM+agudheYrTCuE7U0kFSJUvO+N6xvjjh+s0NJVdOfM9Xv/k1969n+HDDWdcx5B6XE13OHB/1MqVSighHXb8SLccjk2NRpNaWl8N+ea+lcS9/VWqZoQuh8dGq1Npil6MuTgiFqQalrbggFj7KoztHLdHPtbVlH4L6iDp1Fq06yEcgolUj5cwhZoa+MU2SdHYcM7Y1pliwIbHenvEX//Gf8XRzTouRrGQfyTERUyClzO5+z/F+5vNXr4krhbNGLmpUcpTxi19Z/v1/9gNO7Er2slKpMXO833Nzc8f1/QNlZfjBP/8eJ25L2BVmPdF7xWE8sr8+8MXnLzkdVsSaaGvLh++/h8fSeyfo85ClaJsC4Thyd7PjJz//nJ9fvwSr+OS77/PkfMtmWKGbJBbKuRKpSRIJNYY0zdxf77ne3TA8fZ/zq0tyDBzagf00MV6e8p0/+ve5Hvfki3NWtRCud/irgWF1gmqOECTHolK5vRspLbHuVjRdhA/xuxzuMSdp1S5ktFRkMzGdQ/enkBolCpu67wYk/lNLFJ+1KGXwzUr7cSMbXJ5nHA1tNeE4A9CtBrw7JTWB/NvWSCFi3cDmyVOMk9mWsU6EUAuH3aEpquEboA05RkxV+F7y2RuN9fpU/pDGU1Ql9paUPCU2TM0MmzXGDXTWIblYUqmmLIK5VsSGl1KSyE/vwXvQMm8uFOzQ4U6X27fS2FaICwPZ0uiUxrqOtFWCYtWi4gVFZz3OL9oADKoqUqmUlr8OaFAIWMe0RfSilSj5fSc3ogapJokmxdK0hNiUKqKjWhVhOkiIjoJYKyFHfENiO2tZ0tBgtRoYtifQMnMYya0Qxz01zpSc0a7jMUo3x4lSEto5CtLGL0mY+MZ5cQS4nkjDOS9JVBVhSFMwVEpTJJXRNdNtT3Gbc/ww0BsRFpXpwHEO5AptEvLbOM3UOInf33oJFmlN+t62Q3Ud2Tt0FWRsQ2I6W0mokjHa4b3HaPHcN6Ro1f0FFU3OEaWqiFeaWhwjkViEgiclV8GvVzS1lc2lCLY0xZmGEXKLUlQlYkZjLX59IiyAJa4SJy1ga70Q7Foj5kKJM65UeZeUknm2ypK06A3GAjFIN6kplBXACg3WXYc2kFMkl8i2H4h+JaMn08TDjcEhYqP7u5F8PDKNd6Tjvdib8kyhCFu/LZ0J35NSxa7W+PMLhpMNXnnCbs8wWJyxeO0YpxltoXQdRkkMtLaCkh1rk6z0nOnIkqzWNLXJHFFrR2NBRTePy1mOJmPk5yqivFfKyciv8+jaKCmgdcVoS20a5zrp5jVotmIbnHYDzWg0/1AI6QY9Ce1XpNyY1JF5PlBMwxlNMVBKBCUtduMt7z2/ZH93x/nTJ3TOStxqq5AizmhygRiTJME5x2qzAW8oufH69o757o7hxfdI45GBTNWGHI88pLrE5Ip2R5pAgwhAS5K2s9KLI0jAPo80ACHGLgjnnBY4VltGdBIco5VY1xryzx/JZo/iO/IyT6+ZVkU8+zjcVo+aQ61Q3UpyOaSpT15G+m0RPhrnia2QnebNVGilUTCMSXH+/hOenl0Ip6AEtJWo7Ye3N+yPB8ZdIBnNb9685OKDS+ztntvbvfw5pTphPXR88kef8Qff+Q6EwpwO5JjYvbplNx2IvvHs+095/uw91qwpU+bm16/45W8+5+PyhB/+3S9IT3pmJrZdz9XzZ6x9j1UGcluscAk0lFjIVbqFN9cHfvSbL4mtcfZ0y/c//RBbNFpZrDaQ/yELIQfRbky7mS9/+5bs9nz8WcfGQIwRpQqDU4RZM06Vj7/1TU5r/TpaOvRvSdOeVi2liJA15lk6lLmwG0fmMFFVJBx+x5m7b4aUC1Pco2rF+x6ccKVLkqAWlKZGAZIY64TbvRxM1qivcZ+1wGAtfrXGKYWyPatBDhFtOokTLJntakMuWbCu2uGMXm4ODatF7FVyJJAxGsKyOaul+vSuF8V0iaimRHykFXMrmFxYuw7Tb+VmrBY6da14I970nAIpTKRWqTXRdb3wxlvCDIPASayjNCUEPudxWmGVo1bxC6M08sooCmBqwwGD1uRWeKy2vxarxALL4ZmmA7kt3vHOExfxDIv9yHgvIwBvpQhYMLPadsyq4e3ysqoGCzO9lLTgPSUtrTd2gSAUcgrCFC+F3KDEWVwNrTGsNgy+F21Cq3TDGqssOQSqbUwlUrQm7R9QeRLkrPE4u8GsT6iLSK1ZTW+cCPGMRncdGJlZbrzhbHuFcZ6h62U8UoQ6luZJhFfe47Wh0JingHUd2W2kve+lrejWF7QcliLCEOaRkGbUkv+eFhwxLaOdZzzKTNr0K0zXo43FG+ispzhHNooUZWY5HUaoIrJrSmGdx/ZbpCLTYMQiil/TW4/WnpQrNR0ZvKO2U3xnQVl5tmrBdhZnDZRKThNk0H5g3W3I6+0C4ynYZSPXShNL4XgUit7Qi0hvcBK+U6piOk7EcU9OAZwXOmTLeA2qSjxxOU4cx4kUHwgxEua9EAPjLM+NcSLash3FyLtyfvU+w2ZL5z3OiWhP18wcM/b8FKM0XmmMaQzrDqpoOSRlLwnMSFVCkxtWaXAMiZQDXb8AkrJkMyglFr4aE4FGVbAaesocmEqgc2oRx3paKDL6U1ZChmqVGXIF31uKaugmqFmnRGgpo5lK1U1Eed7TlMbbihvOGcr2a0a+q5WcRoG9NOgHw3eeXTFff8XZxQXeS0GmlCEunH4WsE/OhThF7l694b1vvuB4e8/Ll9eE+1vOxluMHeQWPu/x9YjV8k6G1sRB4i2b7RbrHFgpJ1vOpBiWObvm8cxFqa+Lu5LCctNfHAjiY6bWxzw1oAlHvpS0dH2W5xgZhz0im5vRmLZkviuFUcJhENW6ODYKjd4ISCvkQmqa9aajV47DXMlV0ysYzs/5n/7Lv+SqP5fAq5DY3+yJKXH91Vtej3ckW3nvo/f53pNP8EVz395QFjFgqpXDPEoYV8jMh5k5WVRN7O533Oxucc87vvPpp2zNBq8H4piY9iNffPkl93Fk/puf8Te/+Bn9/pQ/+Z//MU+evcdFv4IkXblUFxhVlRySmANxjrz9/I5f/folhxRYn635o//wY96/usIaLXuz85SYKLmQp8jueGA6RO4Od/irHd9574SOLbu3hTDv0VQ6Cn2bedhntGl0xnFzc8/F0wuGs+cUuyYrQ5kzpRYe7kaMkY5W3zlySlw869jf3/9uh3uIk8BiFOKTzTJXdPaxgjSoBWVZm/iGjbVyeCtF0YtVpjW8lchAcpJKM0eZ55QGJkCRiL5Ys1CgWsOqJopsJQEehcicE7FkqbS0plMLwUnkzzRtl4edhUBnKKl83T4zWv7I1kgmeWmSGa+A1ApTSXht6LXMe40yFBLenX3taVZK4CxWgTFWsqBzgkd/fW0SjWiNzNtroOYim0tbQjmQNlnKmRIDU57Y37xCTQ/oCn7YotenWL/E2GroikGlTDCanAV/q1XFdB1aVZy1tJJJWTCopVXm3S1lOuI6S8xQHkWxrYqGoYIxCr0UZgrDql9jvEcVufVkNK6XUJ2YC01LhG7v1/Trc3JrhONO/Osxkn0nOoXaaBQsmqlI4IduTVr11oGxJC3jglYC+/FIDJEYMzHOi33KMSwq8EbBeYPRHdZ6XDdgFoDRfjwwjUdKTKR0lGdjtREhYs4YJ7e9lidQDe1XeNtjrMZ5yah21pJjZg5HVK3orqfUinWWFDqSLnTdirZ852U+0m+2NO3ovKHvVhgjinur5bC3WljtyhhylBZ6760UoTkRq1jvAHTTtJIkrlY17KIUr00L4a0baKywSuFUpeQiUcYhMO4e2E8HkhKiYmc7VI5UKmNrpDBiqYzzzLy/pYUHlBYHDOszWMl3b/yA7nrscMbm5IyT1UCvKrZmUkmYXEm1kRsoo+gWAWdVS9Buk4On5iTt1ryAg5bQHLWUvU1X/NCTa6PlREQyCpwRYNI0H4Rfbg2HmsjThHaaaa60FvDOo4p8t9oJwKYgRZByQkxDaQFwLbdTtThYtBYXhyqVzmqMEs2JUTJjV0rT6nJxtWdysKF4cmbYOEP39ImERBmJgs4pobQhTlLglqaYdnviOHO32/NR53n5+W8p3uJ6zzC+xV98RKqOFt7ydhwpxmOtoIld5zk7P6UzFmcL1fZQG1kJ2ZCaZdbepCGvHrt5CvlsmxzuVNkHay2AZCOwWP9KrUtCY5F0zFYXS62R5D8ln1mFpVsi3vccjovAF7Sz5ACxig6gZJhK5ulpT9f1nBZoufHwsOf8asWZX5FHASiNd7c8HO85ppnQwceffcq2H+iVJe0Dx7c7rr96Sy0S2Z1zlkyARTxnneFwODKO94w18t7vf8DTqyec+DPqLJeAFjLTYeR4c6DkyK8+f8kuTFw9e8HzJ1dsrJdgsiZURJB3KoWAUpo8w/31zKvDA+7S0XWWQVs+++ZHXK0v8A3ymHiYbjnsj2hb2d8e2ZeR4gIffbrlov8AVw1pVLRwwJdZ8kOqBEyVaWbc7zgZtqjaePnmFS+ev8B1G2ISmI6qmYe7I/v5Adc3jO/wXnO63XJx/nWJ9z/ucNe+QyWDImP6XlTrqaHRaOXwRgu8w9klNSuJd91aNILQnFImTiO0wpiOxCxhJrUmafUvGekag/b9Mk8CUDRtoCZMkdl+VQrbOSGINZnjOWdYmQ3KdBIeocwS+GEE29Iq2Yqq07meWApOGUqQDUkpyf1WRlor1jgoIi5R1tH00upuWmI9W8Z1neSHL2OLOQXW3QprPbUtSvxSiElIdFOK5BRRqi2CFmEG11bETzsfSDnibI+5OsGvBmha7E4LKCWVzJhFTNWZFVVpks0iNLFuEZWJQKUupL5qNGw2NGcIVeEG8bAPvoPSKMrglMJb+SxTbqQcKS3LxmVl7GK1ERBJyXTeo01PznkRCUYUDWUHbL9CL1z2lDIpRJy3oKGi8Uazdg6QTbfkKD/70s6ccmJuBu1ge3lF0YocgwBqwkzNE3a1IqmGLxFCE9EACt8atusJ1uL1CmeNyARqkazwWiUlzoh90PqBGmaZXVY5JMdDEqvYwnXoly6AMRpcwXUrBjeQp5lQEsV7aboc7jAG4nFkGAbsEqjTeSdo1ZzxrYpgTTX6YYAqYJ1+ELRxKxVrZdPKoS5skgxaMrQVTThARcRVeUHjqhyZc2Y37rHGUlKAOqJyYWqNahbRZ4jUNAl2uF9TXCctfbfC9lusX9FbxzB4Vr2Q0nRJqLkwlrKAUxA7Vl3ihqsIUcVxYMksOQaLsFM5i1OWKCkxcuiUtOiypCPnB+mUTHGmoUm14lJYiJKZNs8Y6yit0CmxwillGMvMdJgoc8AYw7A9wfcLktdY2uKTF8V7Jc3HRUQmUCtTioTyLNbKmhOhKjnESqYZizdaNn8amMbvPX3B+8+vyCnhrMVZR1EN1RRziOTcyDEwTTOv377l9vqG3XRksJ6XL9/iu56L0xPm299CDGh3hplfk4xsxa7rKLXQaxGQaYu0x5WhtCpNeN1EGFnEnqiW8d7Xa+EGKKxQ+koCCrSy9Av/4fZeq1pSGRfCpRyjmMWW+nVr4FFMZxZbqZLkTVcqKnky8vMoVTg96zk9WzOHylZbpjiyXndsNx3OKMb9Pcf9ntu7t0SfefLiKR+fXtDpAV0gh0geE2FhsqecqK0yxUQu0n1qNRPGic71nH/0lE/OzzjtNuhqqFMlxYk8z4z3E2++vOWv/u6nrN7v+Gp3j71Y8af/0T/jvD9B5UptkdbEPvmITM65cHzY88Wv3/JgAmff2HJ23PDX/W94yAfsIkSsU+Vw98Dt3TVTPLI63RBM5PTFmg+efcwWRw2JHCDsR9o44nUgaEvVckHIU+Srr15i3tes+p799Z5wdsSaNdZY0iTWVVRmOMlsBs9+P+GGNdOhYLv//vP7f/hw7xz90LNeb0TpmxM5RWKp+I2osjvrl1m4RJmSMuM8M4UjD2EkHveS8z6cULUh5llgMYvYoy042ZITKiXaQqzTzsks0Ttompir5HBX4YgP/YDvPX23BmVpuTGPOwFk+B6cZhrHZZ4swqSaA61pqrIy0+rkRpwR7+cju9h4h9YW3eSlf8zGzkYys3ORHHVKpVTorIWcmScJnKjOc1hEMcYIW9sYRzVWoD9pRjuNMV78qJ1aUKIVlSs2Gao19K7H2J5YMjkEnO1QRbogrTZ8tVgrHtEwCxM/NYkeccZgcuGs7zHDGSFmOmckuKUgVDXrpAVXGrVE8aRbRSlW7FgstsK6BEwoLRjRJZREWY0zK5oxrI0hx1lGB9bincWuhuXWJLbFUgvH/RHfOWGYe0dKEs/ofcfaW077Fbo20ryTuah3JL+lqVNSmNBNYBaqSqBOiHFRYj/OnRVOGywSgEGtzPMB0zK911izlVnyPDPtblFkilLEnNBWrFJuGHC+h9bwzmCsozs7JeYqLW2tKU0EXTnOwi2oidoypIkWZxkdTAlnNSXBrgZqjni/wlUwRjpT1IpuEYXBKyczZC2HqdUaYyutJlLMlNowxklnphRiq6SqCQmq7Zlqpdm1hAS5ThjvMQibYXMphbfSgMa6ntXg6L1bbnNVMtzTTD3uyXOQGatdBJ454ZwB5Rf7ZeIYJM/dmkEEP7VKgYsckrY0rBJNQAOc1ji/lYyEknFaw+Jfd4sS21ot2oNWmed5QUMb0JGQMuteiqG+eS4uT0i1MMcZ2w0M3UArGauWLHKlaTUQS0GpSgoBasF7z1zF9qW0xSyMbKO9hC1ZjW6QSiXOgUblg6sVzwZFOIz4oafvOzlEiwa1iNSsIQcRodlhwJ1t+fQb75OOM7cPO3JK2L7jj/70T9nd3hKPO3JnuT8WpmNaOP3S0h8PE21Q2A4y0uLPcaLUsBzG7R9m4Up93ZpvDQHdkGWvXA51kAyAhpAAlQRSUJURTcrSbVUIsAZllu6mdACNsovuSeO8o/OOPEeqslATqQK1MQXLfBCNx9QSqXkR+xWDLZr9Ycfrm2vWzzZ8/OH7nPQbeuxy0YvEEJh2B/7ub3/Oj776gqjaEpOyKAyUYnd35DDNPH/vGRfrU1bWoWKjtiQdoxCYpond7QN/+//6Eb+6e8mT1Sn7FPiX/8m/4I+//weYBFWJrqrmQEoQQyGGxG9+8ZKHeMCeab732ces1ZYv/vYVqhqMNWxXK/KcKMfIdBipNWIGhTuxPHtxxun2isGdUEOm1CPz7Y7b129Y6aNYUXNlBqYCKQV+9ZNf8/r1W7737U+pKfHlq5c8e/ICoz3OQ1GZJ+8NNA09K/Y316QpMnEE+zvO3K+untBZL5GaMcthliu2NXRTpBzlJciRGqNQllKUL3Y8kI8PtJIx/YoaJVecBQGqEHqWUlBKxhqN7juqdbSScasVXT9QcmY+zpJE5CS1COfpVxuc7ZFY5SMhzjSjwFpmEjlUcgqI00tgKM72NOMlG51FCFNFNV9UI9UiQJcmL0Kq8lfrJWylX+ZX+6P47711DKsV47hnHCVruHMOgscq8TBrb2WOVSUFrFIpzsp8GkWtEas2GGMX6I4ilkLKSdTzTeOsZ6Ud4/FICDNGWfHNawPNCJBEL1Q5I4jMphTNC4621sUjCzjnaC1jrYwvQKNSoqbAmKIclk0Ss2zf452jNU0pcREZStuv6zqMUxgjCV5GNVwnqNuUxU+NEl640ZayJLYZb7DW4IyVDcoZmrN0XYfWmhgzhxrJRkMq5HlPZzu6biChmIKE0XgnyvnOOpwxIpwzyxwbcNoQZgGV1ByprWCrxalCVoa5FPzp+RJm1BhAlPZKbgZxPqJbIdWGHieSkWwDq5EZvdJL+lsDYylJujg0oS12Xcc4zUzjUf5Zv8K5Tj5/1eQArFC1QalKZ4S0knPGak1tiTKPHMcdtSnMcIJSCoeoePfHI8Z3Mge3A4r1Ergjn0WpjZoSfnOCO/PSitbyzPXeCKedgi6ZgmSIhzBzd3fL8XgLqtFvTnDF4L0HZzhMO3ST7POaM6opaKuFhNbI4YhVla5fU6oizUdKGiXxMWcmoFiHUKIdYdGSxHmEssQcGysFgRbqXStFeO15XopX6YyFWVLfWpPC1GOY/Bq3OWG1PSNgcF7m8VkbsjZECui2YHy9jNQK1BRRSuJ7rRJQVauZEPOi1g/4Avvr15y8eIFSQk9UPAr8pGvpnSUag0Kz6QdSjJxtT5gOI9f394xh4sOnz/jed7/Duht48/oLvvj158y//A13D3fULPCeUipFF0mn03coO1BypbS03L3bf+dWzYK/NVjX0R4TO4sMKiQRTjqY7VH9vvz+R5wpy8Eu/GKNtg7feYEc5cduoxQPxmpW6w3KerKt1JoZ7/by78+NNzdHTIGhK2zXlrlUTG85jiMv727oXMfFN9/n6uKCq/UpJitqStRUmPeyj+8PI6/e3nJM0yIollGKRmGcRQ+e82cXXJ1cYgrS6S2FXCJxmhgPI3HO/OJnX/EwZKoTnkK37nj/2RM8Ri4HJRPHiZwjcU589ZtX3IcRe2H54MUTrrZn9KwID4rPf3PNzXjk+SdXnK83vPrZa67fviWqA+vnng/ee8bV5XN6u0Y3Q5orNUFOinEs1DJiTKQiepxDnAk1k5Th5NzTdXD75g3edty+vufk/ISVP0WpisqIALhaciz0g2FYy7Ot/kF58T/ucFe5MU0jhxgxqmKNowEhJVwVnykLXz21QlYiyEgLra3fXEDvsbYD4wUzWcqSYpUJ4x5VYbW5ZNhuRPW8IBV72xFyYi6JfrOm6wa00jhtiUDOUVoW04hf2oASiCBsbBsbJQaU9/BIqIoFbaTSSUtbS27VWmIhGzRlScv8DQXGiUJfp8wcDkxxJIWZUhLBasbjg7QcXYdVhm6zphpPZwy97ck5kqdJImsR72ozmtYUnXf0Cw61lEwpQTZrJdVzmhOxNaHdGUOwkJXnWBLKaPwwCPbVOJy20n6NUlx1fS9Er5zlz5ZHxt0DrRTs8u8riP9+/3APptENa7GbNYvWWVrbWix23iis98L3t+DVwhZHU9UynatCMVMoTBPbXQij5JNrzdCvQGuMd4Qo7XBJeUrMOeGsw1lD1ztCNowNlPXS+aHSaYVdr7He0XWenCvzPBGmgDHykKdaySGQjVpmsZ4oyDJy1ZKtXiextPUDJ4uP2DrRHGAUU46U7YbOOkIIxBAp1uCMwmlHUVbawZ2D1ogxYJ2Xgk1rcmlEZURsuRbLnzOeVooIGq20pBHwmNz0vKVXmjlPzNOBGg7c3L0RN0ZTqP09qgpLnn5DzpLmZ7BMccbkymazwRjDEVH/q83AxtvF1rT405uEXBhtMGY5KnLh4WHPw/6BOU6L13sA7WhaMc+B1WrFenNBmI+UeC/+fyzj4YGWrtGLBiBZC14ikHXXU3JBXb+ixZHmPL5fU1LGa0VNE00ZElDyJKI/bWW8UCMlTZhuwPiemEYBUcUgsbEgjhHXCTCqVnbhSNld470TwFaqkjJpLd73OD8Q5gjOYW1H870UTVqTtcHFhhr3KDIpTVjd+PTJE44PI/fX1/zr3Zf8pxcbtoOB3FFqI4UgWOlaCfPEcbeHEknjyO3raz7+7CN+/euf8vb2Dm0sw2bLethwuVkzH684u4j0r24p+RWH8SjoXOcoS3uY+YjvoSHvW63I4b3cZGERuikt83JJaZIRxNKQaVWa8e3xYF/slHJLFwuhthZrJRrbK0NMmdzawpWXvdB5zWq7WSJ+LdYO1F4xl5e0EtEo7g4jH39wxdmJ42wtrfyGwZ2s2Vyc8uTiOeu+o0OExikFuTikQMiR3d2Bz3/+ih//9NeEOUDLeLOQt4GTy1P+8//1f8Ynzz7ANSV6jwY1RGKI7K73HMYDn//mDek9x7eff8IXX33Jxz/4gJgan3z4seSjTBMA42HkeLyn5sbUHXj6rTOeXz3lrL+kzGL3jfsdU4lcffOKP/+L72B2ievjNdN6z/OPL/jw2ce46hn0Ftu6pfAV69708EAwM93JmrCbSK0Qi6bEIuFgynDed9Q8c7aBkGbWqwY1M+4ThUZphd3Djs3Qoazi/OmKYbsl7Axu+B1v7tc31+RJBAcGvk4CIkfCPMMyi10oC0L/ylloSMaglMXkTLERlEU5TzFiWWtNyU3Ge/phjfJectxLAasJJaKMY3tygQFMlqqzNMnY1VXygruV3KJCmIUAljPxeCTME5SCWX69sQ58g9IIKZCD2MK00Wy7gaItvh9wriPmQGki7sk1U6JkBcc0Y3yPtZ71sAEvPly7MJtbg9711NwI05E5HYgUjsfdsokXEQcqGWfsF9XqanNCs0s8bhbQxHq1QjlHrJBLRtfGqgNpUWq5jWbxPrYQiKItxlrLyvd4a9HKEFThsD9IsEFOWONwVHI8kqMAT2pTgobVGm2R0BSQEA8rPmWtlBzMzSyhHUK5I8vctdAk5EO1ZXZaqErRnZyhFmGlf7SsNUCJPc4oyFovz5IS3nUDqJys1wIhyQu4w8n3aPSSQqaqaCycX/Cr8suE8yI/m6FxerIFRJyWSiHWgooZrGbMmVoyfaugBavZqUZnOwHaULHWoWl4Krk0DJmIaDdCKXSdCPLKclobKrpmim5s/ApjDFppmtGiU6gNVRMa+Ux6axlvrrl+uOF+f/91ByhlSX0aD3sencwogzoe0J3jYS5incwZcmBnQJfKsNrSby8YVlsqhuIsfb9CF41eiHJRFWrMjGEmpEQMM7klXL/Cd90ikKzYJSEuRSm+utUpym8k7jZWzNCYpiMhBJSXIBi32mKto447aqmUbovyW6iSBlnigcQixFsgLGZ1gvZrJMXvgO1W2M0ZjUZnHUO/Yhr3tD6R4izCu15yJ6w1pJgoseL8llQD1g+4bU8qRXQxrcE8Y7Rl8ivW6xMh2TUwRUSJQVls5ylhJu3vOFl5Pv/tz5niSNGNv/izP+H3fv+b3L16w92r39B3G+JjulzO5Cj++7v9A3//o58SVMEry5dfvebhsGd1siFXw9//6CesnCamxt3NLdNxlHyFtMR3KgQ/W2RU6TcO61aQCy2MPMJsRBgrxb/fnNJ1g6CS5/i1fay2KjcbEAunlpGnXUKAWpNgGGPFzthyJhQR/7qFGql0w3nprqlcSeVIVRHroV+dMvkNcZoorXGcA5+/fMvGv8dweYZOidv9Hn95wclmw/nQY5tCI2PW9ojOTgmrHLev9nx5f8u+zVSrMEVjLay8Z86FH/zp7/Gdj7+Bq1ryO+aJliUP/uFmz29+/SX6quPyB894dnnFL//qC/7gT77DN95/xuvrI6455lG6zOP9Aw+He6Y84reeDz54ztOrD7DZY7Ih50SaE3e3O9qJ51/8sz9mOwWu7+8wZ45PX3yLq80Fm+5MhMe5MuWJWiM0Q5gC+zEypcDlR+9RDlfk119Q7vfMcaTSi6siBJ59eMFlv8Uoy83rB/IciXFCucLKW+Y5sTnbUssKNyjW/ZZdy1Q7/26Hu3Yepw01JcK4o44jZT4IWAZBHTYl7alWEqo1lDYi1AmZ5izzKLdVvxb4vu+2xCLzt+16S79ak1HMceLh5hXOeLabcwlQmCKlFR7mAy0kOu9wTjjVzSDt8kX40euOOE6M8Sgxq6Wg/EBIGes93nlqyUzHPQ1HUxVdK3a1pXWOod9KElqDzvVUrSTusAkrGtXo+jXGSIyss17wqYuyNoxHaph5M99QmkBiWpYWd61VQmY2J7S+o+QkM6QFIHF/f896M0DpmFKVebi2Es/qHTULpENVOcyi0RLM0ZBbuZW5f0N0EFMS5n/LQhesJaOsxT5ahZrM9XQ34FYngGboOpmXa0Pzis4qsZ/FhKWhjSbXIi4GYx7x/aQFeWtaQVkpAlIpuM5hraYUgfMY/Zg0JYI/r40ARQBvLWbheIemFv2DBF50RlOVolRQSvjsNUXJXFcKg8bpTCuaGOsSlJNRriPUhneeVedJMRNahtroUMufVzEvKXwYt8BsKtr0YkE0doF6FHIqlCQFgNJGbuooVkaKj5wjOItBU7RFSGobvNHUUplyRilw1tJZw3g8kOaJeTry1XHHYX9LHu+kTWosI0CthGV80ZZ3SxlDjXtMW1P6gaY0zXfgNXEWe9/x/jV23KPdBjts0X7A6T2WQsuVuUrxbR4dCzXSdMW4FZ02tMM9bd4RpkLtO7bnT0XtXyq6VFypDNbBVkKP6vlTKqK5IIeFkTAvNEiP0xZl9NJJ26LallYjOcxgtCjfc0PHUTIAFJR5pE07um7AZIv1Du09qVqG7SUpRNCGYbWitUQzjaoCqiq26yfUBqv1FjOcQAU9dFjtlmQ6xaAU8+6e3XykX29oqmLIlNsbxv0Nh+kOo08oMeC857Nvfsi/+KffoZsjKwO38cDr6zes+y1mtWX/sEMD8zhy++qaSRX++H/yZ8TDyC5EUquEEHn7+g2vnj5l2/fMY+bN65ccpiPjog/KOUsxuIx4So5f29zqIqpbFMMoCtZavJXci5rr4n5xYA2Nujh7pHD+uv2+zPZbq6iyFOph5pCi8Ba0aGK2JrMLM251hqFJEmUOiyCy0PKE357jhzNSuEErCWq6uR/50l7TG897zzd0Z56PvvMtLjdbHDIGybVIhyRO1KSY9jM//Ou/59AXnnx4Sf93nq7vyOORkGWMZXvPv/fv/T5PVmeoAjSx1N3dXHN/veM6PPDkD57w/MkTzvpL0r7S9Z7vPv0YPSuePluz8h0pROI8MeUj9tLz4vwJp5szvOnxpiOFxP54oObKuBu530/0F2ue+4GbaWT9wSkv3us5687IYyITMUbE1I1GqUvQjqrECvdz5NnJKZfPnzM9/xbu4SXt5pryZsfu558zvz3w9OqCMRypsdBMxeYJbXrubo4MHbi+p7UVKTm2Zx3b1RZDZYz+dzvcp+trlFLEEmlxRKtGtRbnV5xeXuFONsxR5vBGV6xWeNMJe9wIjrS1ivGdpIvx6IPuqTR8BYoi5cA8j1jANkUY9xynRgxJNutaSSWQ6oAKEW01/bCijpEaInXJp368aRnrBA6Ro4wCQiFkqXR1v8I4y2pYYZSI2iSuFUDiKFtTkpme02K/GmhNACZFaYyVVq+vSXCTIXC/uyfFUVpkRvzsVYkKvxs2GNcLT9464jihshxsaekIsM/YPjOPI6qKlmG1PhWvqdZkZeQG6XtKytQs7ZhWFqAMYjlUVRTLqmbcosSWHHshUIkOwWOHFQoBqHR2iXKNQv/yiLZgVppYhWpltKZp2WQ634NSzGGCJiKqR4+sVjKd00ZSmlCWRiMviF+UeN0bYq8spaBKIDcJCnmECGltFt9/kpmiMcSaiSkTQxAxkzIoI7ZGgdU0rDd401NKobNqSdCS78Iq4canlFBGOhFr14uIC/U1oUtjBPyhNVk7QlF03uMXq5J88It9KDWcs3Tes2RriZpYSyqf/L1l4+Fs6GkV7m/ecP3mNeF4IM8jrUVqONBykH93CcKVR0MWTKsyBlEtQTOWFGa06lCrNdb3WOfJfSaHiRonERg6JzfX6SijCVVRxovuJBdsLXijaSnRqUq6e8sxi2irVlFN0xL7KoWt7VY0J7fvFiqaUSyBrWH9ShgOrdIapDBL6p3vsVqR8pGNhZZmaI3mOyZVSeOOmAM1B2oYRbvgrFjRShYnxmJdozaM7+lPrzDaofsVTkEpinU3sOpPOI6RkmZMycTa6JViWJ9iURhlCC1BjMwpMN98hSPBfE0IE/M8ktI/BPVcvxIM8TAkhhj50b/5Ic9O15y/d8an3/6U48OB/8f/+b9gfXrCk+cfcDtN/NW/+Xfs9nv++H/25zw3PV+8eoN/+kxia7UB70nGUrqB8eaa29s7oLE/HsmLKyHnjPNeWu85k8KM1/LsqK/JlXKpMsthLf13KbC974UoV4S7YZDRD1WEtMKUh5JFyJxyEl4GElmtvEV5x141GBYgVsms1qfULHN/jOxzyhjJ/NAWjRAzUy3s58DLL1+TjOX7f/JPePHeJ/hmqXOklEQqkTInxunA/dsHdvtIPrN8+6P3+fJvX6Eq5JAIS3cpZtnPtquVpE7GyLR/YH+754uXX6AvLC8+fcaL5x+xNiekY2S8PzB0Bh0Lv/zJF6y+/ZQQEzXMFDLD03Murp6wMiuctpJXEkWsWnJl3B24u93zxZfXtPdOOR4Dft3x4mrDulRUgW7lcNrQUhRrZtOUUDjeT7x8dYvuDHZwvPnqNe2pZ+1POL/4gMur9/jw48xnv/8Dbu5fsVoZysORSuHt7Z7nT8+wokTkkI88uTwTJHUUIbR3DjolHIPf5XDPuzco5bGnV+j1GdYZvPV0XcfgrFRftuI6KzxxDbopzJKHrrUSIpfxcruNkZIzYUzUNLKfjhz3O7quZx6PQCW1veBVAb0+ga5HF0XvROVsF9Z7DokaDoQQxS7nBK7gvaMZK2loxqKbhC8o5xi6Fdp3eOvRyopCF73cJqXzEKvYs6qqFNWwxot/vhlJOlvob5RZWOfzPcdxR3MeOwyomqlhooQF6tIkoarGkXGaaTXjnJeb9TSBNdhOU1FUrdCrnjg1yngk5BuqsxK64Xq8H1Bpluz6nKlJ8pmVUVTv0IuPuJYsN/xxRFA6hpCEula1YshW5pa1MXSShz7uH5jGkWYgxQltHUMnnYq49Lt1q3jriMs4QRlLmmZMmVHWUlOhWUXfDQuzv4rCPqWFeNUkN0ApyaJQ0jaUkIqGrpUUk5xvJVJrlXhaJayClMVPbDsvRDmlBMIBomOoIvZUOWOdp2q92MjEQZAR6MiwWQPy56c2VC3QJDueBhkpFJyRYAu7ID1plblKCFAq8nMa1TBKszIdbckqV02ekZyLBJlYUHnmsAvsdoH7aWba7yjxIHYlMrSCNsIGEG1TWwrORehUs4xHMigziMUtjKgUqd7R+hPhHTiDrqI9qUVBmUEpco04P0AZsc6iTUdLEoFcw4HDeE8tolFRWoBOzXXkKn5wVSXCtE9FhH8NmhVkdC2F+XiPU1XshXEkt0xthaQMLc6sNh3/5Pvf4V//8MeEmPjoG5+gSmEfM5tnzzC247C/Z949CKCmRML4QMsFSqYqTasFFUby/Rt0t0KnmZwDFej7stgEFaGA254zbE5wViKl4+4WnWbIkf24Z55uCeGA7z2XZ1vK/VtWxnAbD0LYNIIUzdPIOGv+q//y3/FX/+pv+aN/+j3+9Pc+o1eJy+1Ad7kmDoqv7r7i6faSP/nzP+Gvf/wTeDjwNz/7nJ0dOL94xjCsyDHggGcvPqIznrsvb7m/u8cYxTRN5CI2WwU8YqNba6RwlPm2soBFsYwUrV1m9J0kL2qhF3ZWkUIisZz5ehmppgXTq6GktMSFNkqVgkxpJVbJrmPoPPYxz2J5/02NAuhBBNVVKYGZebDrC8LDNQYZje5DYGUV0/Ur/vD8P2TdbWlVxNNxjszHPfdvd9weHqi9wTzv+Wb3EfkQ0E2KuxgSU4zMKUkHkMq275lud4wxc/36Ne7Es/l4zfMPPuDEn+OLJU2R48OBu7t7YpiZbh74N3/1I97nyLc//Q5+8GxPTtl2azyWEjPoSgzSaZ2PgRACISTGKfLmzZ6oEk8v1pydWpyzQjpEYZpCVUVOEGLA+BW5al5d35A2M6edYnt5RThUvvjFz3jvG9+kt56cC/uHB56+/5xnF+fkWiiXjel4pF7ecfHkgulYCecFMziuLp7i2NLmIxpDq+Iq8db9jof74YaGQU8PGNej3ECwjtlY9s5SrcH6jm4YWK16StEUpYWoZDXWOHTTzIeRkiJTyhQKTSua1kQNanBiVV730JRgE1UF0/C9w3U9TRnmGKlhJmTBU9Y8S+Z3v8a4jbDCFWgrUaV2vaFSWQ9buXVgcKYnkUUN3gTuUHIgzhOtZYxdHqo0YX0nLaySKDWSlcyhy1RILRNTkghBV+kvTlENYiwLKMNKBRcn6jwR3j6gbI/pBoHJJMQudnWJaksOunPy8NeKdh3q4gJtFpuSbjKP005yylND2YId5GDrhrUgbWtZYjnLMkvPxFTEUuW6JXNbCGtaKRqKw2GHponAUFW07jm9upDPUYs9b6s11hgRocRILTK/T6VQacRa8P1afn1MGOPIsWGtwthOPPlZvNatCAUKFM4omhG7Wm2KEAPaGKwbqCZjasUrTzWVqqzQu2qWNLBSiKlQSUs4z+IN946qHapBbzWlQVkiMb0Vq1ytgnItRfQNtaiFAKjITeGVIqVAMoW5ieWuLnninVEY7SQnXGt6L3yBNI/UPKGRXIHaKseHB8L0gKTW9ozJ8LC7pcw7VK0SJ9yUMOhrotYmt1ptvrYlCaTksaehqAvq0rme6j3lkQuRI3Wx8WUgT8clBGeS56hbk7J0L9o8UjlS00Scj+QgaudKgUm+S4ZBijIUxVjq8YBqhaj1YiFzKONQuRGnPaVFQikCvQKJLG4V5j1NVUrW/Pjnv6CkyAff+AZ2taLNE953bBw8uRjQlxt+9pVDGUvNET30tJQoYaKGCbzkmpdaqfOE0w4w6G7AdFtcv2FQBqUdLUd8icT716S0Zxx3xGXmnI57yJMAfvYTJUZyTlBmCprV2RlhHiVn4PyS+bDHaUU92fDks2/yv/8//t/4+S9/yne//wn/y//Vf8ZnH3+DPM784ie/5Iu//hnjm2v+73/z9+xD4OqbnzK+fgDjiGnHYQpQCv/Bn/8xu69uKLnxsL8HRP/TrzaUGIS2p5TojFIixSPWdUDDOI+xK/msm9y4c604J7fyGP/B2laXAto2MKoypUmcNsCj5F5bK+LPzi8RuOK4Kch+5oSVLbCbWqEWim4YL8+u1oarF5/x6/tb5jBjXePBCAb8o9MV52cn1CSAsv3bW47jnrdvr9nXiatvvcezszN8Hhh3I3PN/PDvfsr9fKDpuly8xP3jvCdOkYfdHcZb6rnj8v1LVv59ereiZSNi2pDJNVFiYtrPfP75a766ewvXA6UrXD35gMH1tFBRNVJbYpzGr0N2YjqSSuLhZuK/+te/5CdfvYLbwkcfX/DtTz9h7YZlDF0pcySUiXE3cXe/5zAWstc8//Ypl+sLykPmgGV7eUbIr/j53/893/rsuyKSzY23X33J9uJKNDsx4dYdH28/IqfGMSeGrWaz6ejsClUcfR/lDGiNwuMF4Hc43GUVWplJNcoD1g247Sm27xk2W/TQC/hFaZwyzCmjiyT9jGlknicRSQW5tdbS0NqRl5uTGXqaNug8SfJYU7h+i/ZysKTDhPEOaHTrlbSLY4ZkGfpBAmO0wSIRjVVZ4aRbj9GdzKKWqMuKppaGRdpbsWTmLKAHbySYxXcDve3IJXN781rsaEtuelGNpMA5UaIbK1zh4zwR40RtjXB/CyFIMWRXsO1xnWXYnmO0w7TK4eYt9eGO+bCnGUfQFtN1rIY1zSg6rVj1a8CKyr9Vqm2EXFCt0mvoV2uZ5StNKY1xt6dliZusSJax01osVktVr7GSFJUzlUpqaqGiIIlZfc9qWOP9BlWrbKolEqaJoArTJO3aqpZiYCFVWTfQa0u/OUFp6Va01igLqrWVTE2STaBVQ68lmYtcKCWTasQag91spKPie6yGmgSLq6g4C8Z0wtRuhdw01RmpnLXG2k580wv6+DEGdUHDU4TBIkVPEQhMy2k5HI285MvPW5VhihNDt6apRsNKqIeCAHQafIV8PLJ7c0+MB7KWbAKvrXjAxweOuztxbgwn0I5gHbUcochIRdWlrVbL4jVvks9gJM1L+CQVlCSXKWXkc9NWQENuS7d9Tlo6FV2/Zt1LhsJ+nITRXhKtNpzrKdOeenxNSoclBKfJ/612NOrStoUU4zLf76huoKWZGmZ0q9h+RfO9EOFSEJrXYhHVfsD3K2ozkCbqfE9pBWM9J0/fZ3txyUo1Pry4pG+FXWe5eXtLf3aKVYavvvqS9y7OOTk95Ve/fYmxJ5QiivR5L/G8aq0J0wGWWFt7vGOlFGOs6JAZVqfUdCA+vKUe3hLig3yHrdCdnWGKJpYg8+cFxlP6ivY9ORWIgaGKcLKUzDe/8T7f/ugDfvRv/1t+8IPv4e6P/PgnPya7yh/+xR/ye59+Rpcad293vPnRr/i//qt/xV0I2H7FerMmhUjCYodT6v1bUI3NYPj0/Wf8+OqSkjM5iRVYac1qs2XatYUZIYK2Wgu1RhQe23XYztNSWXzui9i1CeCl02KzTTl/DR6qpVIQRX3nO0ILkvSoDNY5nO+WOb9oWMQWJwd5Qt5ljWhpZKoslyi32qBSYc4TXp2xPrtidxOIMaJNZoqVs6fPWPkV4Xjk5uHIm1dfMbWZ7fMtnz5/nxN/gm+O8ThS48z0MHGcA/ExqXNxBbQGMWbmEDmEiYvLC37v2Uc4rJwpTdwFORbSMTA+jLz89Rse8o67eKB6xdWHVzy/eoLXnbxWiB7KNAF1y+ecocDhbeTl9S2zTcxEyhR5c3+DMd+UzyZLDkoYJ7JKTHeJXZgwF5arp1ueXzxDT4mjuhfgzFxQbs1h94pf/+a3vP/sCozi5as37Erg8uwJNjd0KdyPR9xqQBlYD2ssHaoJ9dK7xRGxjAdr+e9vy6v2P3T0v1vv1rv1br1b79a79f93S///+gd4t96td+vderferXfr/7vr3eH+br1b79a79W69W//I1rvD/d16t96td+vderf+ka13h/u79W69W+/Wu/Vu/SNb7w73d+vderferXfr3fpHtt4d7u/Wu/VuvVvv1rv1j2z9fwDPHpSPh4iDCgAAAABJRU5ErkJggg==\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "plt.figure(figsize=(9, 6))\n", - "plt.axis('off')\n", - "plt.imshow(img)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Run the networks" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "outputs = {}\n", - "with torch.no_grad():\n", - " for name, net in networks.items():\n", - " rv = net(x)\n", - " rv['x_hat'].clamp_(0, 1)\n", - " outputs[name] = rv" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Visualize the reconstructions" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "reconstructions = {name: transforms.ToPILImage()(out['x_hat'].squeeze())\n", - " for name, out in outputs.items()}" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "diffs = [torch.mean((out['x_hat'] - x).abs(), axis=1).squeeze()\n", - " for out in outputs.values()]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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fMJzPiJKIOA5IWi1ube9gRyO8OGbv1nV0mXP/4ef4ml/9u/iGb/8NxOIhBrQ1aLPSJaV+5wKeuF6igOHrn+WNn/xHHI/v4rdalEVFdO1p3v8dv45IJSjrjhEUIkIQeCTK8CN/5S/y2id/GL2h+MW/5T+mo9t89B//bwznJ8zSGZ1+m53dTdphQKvTZm93G3SFAHEQkc7nDIdnxFsdnnnmSbpehLIlnhiwFq0tVZ5ydnTEvCqYTgs+/9rbHMxPufXkTW5evU1n52l0dIPJyZTjtz9FrzvE0wXj8ymT2Zjudosnn7nN5mCLzfYm6dmYWT4jjCKq3JBNU/ZPh3gbA3xt8bvb6O33kdPHWs+NU2vAavcXgyCI2JXRZwlsSTR9iGeO2b2S0A1ClFL4gcfe7a97V62X+Rc+Nqx71CreCSIr6Cf24lYRBLuCPu/EyeV3u/hdLp3j4nHuyCW2Xu7oK/utkkIWOF3j28r5lFzcbRXDV+9PrKxct11c12XuiSz+AVGCEsEaDQhKFEWRc//eWwS25Mogxq8mmPkJ6dl98ukZV69sc+3GDZQXUJYVVZmjyxRlC0yRMTw95sHDffKsIIpjgjBAKYXnB3h+gC8C2qCNYBGyCl57/R4/9uMf5+h0RhDG9HodtjZ6tJII31MoDEZX5HlBmlcUZUmnFfOhr34Pzz1zi8AXjLVYC+PpnE995jU+/qnXODqfYIE4CtjaGnD92h6dTossyzmfzBhN5pyPJownM4qipDIGawVtDKYyaG0w1hIFis1em53NHu1WBBYqbTDGUlmfWeXz9d/xK/iuX/tbKCUg1watLdoajHGP2xNwY1WjAGUrfJ0yP3iT1z/2Y5wf3CXLKyoJ2Xv2JZ794EdINvcQEXwlBB6INfieIkszfujv/yA/9WM/zFNP3ea7v/uXgRjefuN1stmITjsiTmKCMMT3g7qXgxEPi1BVFdl0jGdybl/d4/a1K4RBgLF1H/QUCBhtKMqSs7Mhb7x1l+Foih8ltDt993+3R+BHgFBWFbPZjPPhKelkhLKafidhZ2uDrUGPKAoIfA8lAtagy5JyPiebTii0oDrbFL0bzJI9sqCNUT4i1o3RlXFkUYgFH0tgK0JKYp2RkJNIRmgzPFPgURConFsf+OXvKqz7ix8b1yrLpZF94S7tRWzgIm6sblzofSuY0yDlBfWx0c2a4xZYJPV7YqXNi9d1+bhmg9haI5NGZ7QrMLl69Ze/LxsTjNM/eSeCL7FfsLZB74XCiycwn86YDc9oh0JLldj0nHJ8RDU/Y3vQYnuzh+cphsMRw7MzotCn1+8RRyHGGM7PRzy8/5CqKul2W3hKKPICYwxRGBBFAcrzsChOhzN+6If/Jf/y4y8zKwxhFHLr1k2uXd1bzOdWa8oiR1cVeZqTpimdJOIjX/8Bvvql52m3QoyuqLKM8WTCG2/e58d/8hO8fveQygpJkrC9NWBro08cxxRlxSzNKEpDaSxHx2ecnp9jrSGJYzwl5GVFlueUZQUIURiys7XBlb0tPCUYo4mimOFoyslozvf+O7+Tb/6l30thlXuiVpyWXGOwBYwFYy0iqtatLef3X+FjP/Q3GT98EwT81gY3X/wQT73/GwgHe+B5VDUGKYFQgV+M+ZG/9/3883/0g3z4Gz7Cd/yKX0VeGT736qu8+dorxB7sbHbptSNacUCcBIRBiHGjhNJajk/OGI3GPHn7Os/cuUGrFeB7Hp7vufuzFkxBNhtzcvCQ/YcPmaUlBC2sH9Pqb7G1d4uoM6DSmtHonNnoBJ2NsNkQz2S0WwE7e7ts713BT3qUhJTGQ5cFZTqjSKcYXWGMoFWLItxGx3vYaBPrRU4fsRVY467dWsAsxo3C4FtNICURFaFUhBQEaELRKDE89/6PfEGse6yxaBaqS/PvUlnS9YhU1i6ARKxgpAYhe0HtwdaDTC6ZcRYBcTckl85hVga5rQHBAmLr8y5RA4XFNsaCWMTWBuZikIOtJw6FkPiGlmew1jDTUFhnnAYKfKXwlXH3IYLvWaxxx5ZGU1SKDFmYgkvlzy7hSFznxoLBc3cQDgjKE7zpOZU3oL+1Rxwo7t2/x86NhMAojNbkRUrYbtFtxdiqJJtOyWcZb732Bv/i458ivHabp0/3yY/vczY64crTN3juySdQpeH49AEHJ8fYXo9BK+TKVh89hlB5mLRkPDpn0OmgdYGpSjJdkZcaW5VMZhnDScqVa7s89ewLzI9Pmc3GHOyf8vrdA8alz2iWMitzgjjgPe97lr3tTTxRFEVJmqWUQHfQp0gNIFSVRmPpdTq0khijDZN0ThgGxFEABpIkwbMWfA8xFlMJxaxgnnkMj48RpRHxULbu/+L+GurOQKO4OwPdVJbZ6SmlyYiCgKIsyKuKweYuqMAZr3WPVDhwyguNHwaE7Q0Kq3nyiZuUWYbf3+Ha7SfozCOiVkAc+iStiMFgQDdK8MQyPD7h7PCE/Xv3GRYZNlZ881PfQBL4iC6pypKsyDFWU5Y5KMFKwP6b9/j8vbtsPrnLd734i+hFXbQJKX2P1JZU6YRuCwJtOT+dkJqCjeubPPPsk2y0BkRRjKc8wiimshqrLcU8Y5bm4LfI04Krt2+QVjETvNogZDGGlr11OcFfNDkscSukE3ZIIg9fhe648t1HXV/FkkbxWODeo/xcze81zjWfVw5bPeSigfaOX5ttq4i5NObcb+K2y+W9Vxq27v2qlS2qVtguKHqr13/57I8wmZvJe3HVK42JEjwFiMLWmOwHPp12m2o+whiNEouxhqrSKOWRtNr4vg+i8JSgcY4Loysmkwn37+/z5lt3qbRlMOjR7XaI4og4VigvcEqE1m4ciyIMAq7sbnH1yg5ppp2RoISsKLHi8DzwBUyFNsZdJxAGPlEUogSsdY5BrQ3zWcp4MqPShigM8XyPdjtia6PHoN8hiiKUp5hlOdpoytK1i4Cn1GJcWSUoFGKcwqOU4CmFEqHSGmOMm43EKTZ5nlFVGhsEiMUpsUv3ZD1H1s4dcZO/NQVZNiMrckptqawgYUjS7uBHEdZalKjF8cZYrNVYC51OmzgK8D3BmApbvwOLWToDBJQSRJzxV1mFRqiMpdKaTpIwGAwIw9Ddx0qnqbQmyzLOz4Y82D8gTVM2tjbpdAcEQYzyAjwRLIayMsznc07PzpjPJkS+x6DbY2drQL/XJY4C149VPd60oSxy58ycTZGoS+CFiB9hxVvMxo3TRDVO3dWRZ1cczwqUMe75ihszSizexUHy7pBLeNYAzkLbaj6L5SISrh5qLwJB/VdYnRuah3vpWFl5Byu7LI3Oi9gkUk/zUn+W5lzUWmSti9afHd4twxer17PENVm5b1ko1Asdm+V86J6JLOaFBU4bZ8wEYUQYJ2BzsBbPU1RYtNb1vCJYY1Fi6XRaxHFIEPgUZcW9e/f59Cdf5uj4hJ3tTe7cvE4QKLSpauxRCNbphWVBVVVsbG6wtb2FmmZ4foDyfSqtaYxeYyyVNsznOaPxlDzL2Nra4MbNGyStGEyFKUtOT045Pjrh6OiELC/xwxBlhU47ZnPQpd/roJTCGEPg+fiBx3SeUZbOkPU8wfMUvqfQ1qJKtcAJ3/cIQh/PUygBEYXne/iBj62DH9YYlOeBqV2udvnsWe0Ptn72pmB6dkYxnxMoZymEYUin0yWKW+B5LhhkhcZIMgCeT9zpoYIIow1VVWCMc3L6gY/vC0EYEEYhYRwTJxGe5znd1RjyecZ0OiWOI3a2t2m3E7w62qCNxdS4kc+nHD58wNHDBxRlxWBji2RjG4I2ftwjiGKM0WhdURY5RZ4iVUkYBAy6bTa2+vQ2NvHiFhrBWoMpC8o0pcjmVFWBNRaLX+vBPsoP0MqjCa01/U016FcPZjefuHnGE/BE8ABfBB/3m5jHp58+1lhsXuBicAg4/3E9iTSDszbwUC6yBg5om6HqrailXo0SGr0SWLQ0s8xCKUJq5aPuOOIMRmluXuyKZ8y6Dsnl3xu/f+O1snjKEnqWRFlCZZxBmmuUdVOyryDwtZugrcWIIlCC8ozbbkChMZWbNI1dTkkK8JVdPBsFaGspteu0EiSMhzm7uwMmeUQYbHD+8HWOjk/pXrnK1uY2eZqysbtDWBUU8wnpdMb09JjDe8e88vm32b19ld2dAeXRXYbnJ7Su7PDe554hkpDzkzOGwxHjyjC4scu3/LLrRP/0n/PxN+4zzXPwfMRYijKnKDICa7AilJVleDbmeDTmI9/+YT743BPIbM54OGQ2y3jjjbfZH064cfs2Qdbj5bcOuPHsHW49cZ1IFCYv0KWm1WqzlXQ4H045nA0xxlAZTRjHtFsJnhWMiBvQSlGWFX4Q0u22CbSAF1AoSymC+AHZfEKn38VXXq1w1W97VXldODUtBhe5oyiZj07J8imzqsQTRbvbp7d3CzEKa6zrxwIG6yZFKy4KIELcbRGJpZyPSKXHyeE+pcqoqgLdComikPlshrKWTith5+oevV6P7d0+Z8fn6G7AjSvX8I1gywpdlRhTkqUZk+mYNM+ZjGbkvuapr3qCJ56+w3Zvm3Rccj6cUnTaWL/i6ME9lJwhszOG5ZQn3nubm7u77G5sExqPsigpKveMjYGqKMnygpk2hBs79CKPbD5nQgurwvqhNWNIEHznQLG1Z9W6Po64cewrSzdRdMKY0BOUNhhTUZb6saDylSgLKJKlwfZOJac2tlf0JFlxVtQWOCvNLI6/rJ81Z71k8l3YvlCSLh5Uf7UX9lv9u8RCFgrVQtG6fJ6VsQQrk7W1S9ReVbRl+ZycQu3+olhMTJ6FOI6obIwSjdUao0u0LmnFEa1WgvKUa6wwFHnKeHjKdHjG8eERDx/sk2YFnW6XVqdLq9PG85xRVVUVxuLaNI0DUEhaEddvXmU4zZnMS5TnURpDldUKHAbfE3xRLupnLVEUEoWhuz9r0FpTlpqqqgg8n267RRBUiBI6nYRup0MSx4RhiBUhikLAYYgowROvhiKLUgqlDLoy6Fqxcr85ddUY4xQ8AfEVvu+jlI+uO54oBUYvxmUzh4l185sCxBpMUTCbjMmyjEpbNAo/bBF0BlgvQlunOBhjKY1xCpoCz/Po9brEoYcnBqvz2oiuHZymMS7de60h1il62lAUJVpbuu0OrThGKUEpcQZ3VVEUBePplPPzIaPRGK01W1vbdPobhGFMVYGpNQhdOlbLyfEJw9GYVitie3uL7c0+vXZC4PuIAmsNVamRqsQUc+bDc+aTMeL5+K0eNu5QehGV8l0EVJR7N2Kc3mGXA8XWVoGLTBkUBq/WX9QK60jelfU7VjxCj/jbYMeKPfVI/LKXfl+VhXHX7LtqW64cuDRK62l8Baea3ZUsj104C+r/lcgC35Qsx8eF67TuhsQ22uDq7wv1AXDRLHffcsFwdO0t27X1tWAF5XmEYYBNUzeO8pRsOqbMMpRsgDjVPQgilPLwPUVZVBwcHvHpT7/CvXsP8DwPEcdICPBoJQlJkhD4HroqmYwnTNMC44XcvHmdeQWfv3vAZJ6jfB/xFFYbirIiLyrSWcpwOGY2S4lCxRNP3GJ7ZxNTVaTpjNOjY44OD9HaEkcR7SSmNc9Rns/u1oCdrQFJkqC1JstyRCAIAqyZU5Sle96eR+D7KE8hZbV4WKoxDH0fERdVbJxxjVNfV7WDTamFQlcj4yUDHxxSCLZMmZwfU+YpWEErnyhICDt98CO0qV1pFoxtIsCCr0I6g228MKGsNLqoHJpai+f5eH7DWvHxAx/PD+r53FBUmtF0ijGWa1d22d3eIAx8Kl1itAERTJUzHZ1x+PAeo7NTfN9j99p1eps7qLhLYQO0dQaerSqKLGU6GZGlKZ3YY6O3wc5Gm6TTQtX3oU2F1RkmL6jylLIo0No5FxGFlQAJIsQLMaJY9thLg7LpxHZpsymR2mCsjUQrS7B/jHzRaqiLgSlLZX0lJrigecBy++Iq6wHcUEHFSo3XFp+LwHARdcxiWC4VopVfbD3kZUXVWnjBLmpXDoBsPRlYYh9iZRcTg2AJfTdBaGuJfSGQJQVWNRPNAsCEwLdE1lJZ6zplvY/viTMW3QVjDJTG3U+lQYuHF/YwxZygypmePOSVV18mCwM2Ngd4StHtdmkFivO7h8zHJ4xHQ86Ozrl7tM/T773J07fvMEsjjo736VzZ5JmnnyKQkJOjE87Oz7j78AS1vce1OEQX8NKH3s9ZoXj76JjSFGhdkaU5fuBRpAXjacr5ZMbx8Tkvfei9fPs3fy3RPOV8MuXu/gGnowzb3eSbX3gef57yqaMz2psDdp+4RTdMCBUESYvQ9yjzglmao63z7mhr8YOAOAypKoPneyjxUEpRVRpRHq1OQhz6eHONVW6AV8aQJAlhlJCmGdpq/HqCdwboyvutrXSxLGhkejpmNjmlqHIwUJocTQ8v7oBxBv6F7iauH+S64tZ7nuf+yz9MUThKkhd4xK0OpigIo4jA8xFjMLnmfHLCUT6nLAomZ2NmVcbVJ2/w0kvPECnfUeWKgjSdkFcF4+MzjkenaM+wvbfFU1vXaEUJoiKqeUU2mzEvDcbvYUphdDbGT2ZsdmNeuHOTvf6AJIhQWpFnKRqNNsJ8PmeWzqm0Js0rUq9NJ+6TT45INvokUYdUlt4mAOu0r9pgqGmEdjl+rEDgWaLQRWaUtZiicI6G6ktdD/crXOwSd5xcVI3e6bfmERPdEkMfp3g1J3yHkXmJKrZQmlaOdRgqC4xSslSwlvi9xLTL19k4XxqqnmUlulD/0vSbRZuyvD6pMb2ZcxSWKPQJbIzSM0d5KnMUlla7TRCGi8namIrpeMjh/gOmoyF5mtHtttm7usNgMCBptVCeQte0TKONiyo2dHQB0ZYgDLh27QqjScHbD08oyoo0L8iLsp6DLKGniEMfhSL0PTYGPdrtlvNuI84hhcHzfDrdDlubOVlegAjdXod+v0eStAgCp5y1WglB4LtrUC4C4NXGs9YGrYQSd31+HYEVsQujSxvjIrECfhjihyHaWJStlWBx86VtXhI4w9EarBIwhqrImU/GlDVtzUqAFyXE7S4oD9O83xWN2FgXLWx32oRRgMJQZCminHNVRIGVBQ3L1vNcZTR5Zcjyktl8Tqyg32sThb7rU8ZQFgXz+ZzxeMT5aEyRF4RRQH9zk6TVRXkhxioqbbDaonFGc5ampPM5UeCzu7PD3u42nVaM77k5wVgDlcYUOSabkY7PmY1HWKDV6aBaPQo/oVAhWjyMC0PiorCqdpbYRW9eHUOq7kPOCLd4jdGMwdiKd7XUYHB5PmwG+UKLumg1ceEIu4IpstTCmmNlGTpc/NJg3QLDWBqMDb40Z2nwDGQRWZRL2xZBi1oXcJcizeW57wucqy+7vi1hZeqTxS1dNCwXG5d6aLNdeYLveZRGk88mVJMTR0tNfJLY0bjBOGMLmE2nPHzwgIcP9xFreebZp4jjkFYcOQdW5NPutImTCGss4/GE45NzvDBmc7PPztUuG7tXIfwsn3ntTYxV5IVmOpkwHk2YZwVFOmM2m2Ot4dreDZ575klaoUc6nXPw8IDR+TlBENDtxVhRBIGiHYdsbm5y4/oVBoMeyvPIi5LxdF5Hz8Thbp124ylZOPEaY7Bh8/meRxj4YHHUVGscI0O56FZR5jUGamcIvuN5uwCLXdgRliKbMB2doqsSELQK8TsbRL1tjBehcVFQh6+uR2lj0b7Q7W3Qancx1s0lNHjt+XieB6IwON2wqpxxO08zzkdjzs9HDHodrl/dJY48rNUoEYzVjEYjjh7e5+x4HzElm1sbbO7u0e5vYFVEoRVVbihMhVfPY8Pzc85OT4kDRbe/wWCjRdxyDBYryl1zmWOKlCJLKdKMqjIYPJAAPEG8EOVFGPFYjtJmNKka6xoPTRPQM3VkUfCViyoqC4LGmgrM4/W6xxqL4cLjY2rlwy5GoljH+2+MP5zNu1RCxNE9L3iYLnPkuaT0NN1kgUOXfVc1MVYahFsFfQGph3TjQVzs4/76CkJl8ZV1nbYe/K3AYhtqz4KCUtO5xE2upaEGQhfaFWXwDASeEAZCqJaULxe5smgLVqSmI0FZWfzWBtPhQ0IR9h+8hSQ+73vxRdp+SFlo4nbC+HifyfCMyeiYg4MTpkXOe7/mOW5ubTGdwGmVYNsDbt5M8CvL+ekZw7Nz7t8/5PWHQ3Z7u5TGsr29RVYZxIvISw+CGJTw9ltvkmY5VVlRFgWl1lgPnn7hSfpJQHp2wsH9Q87nU7av7/HE0y8QT2e8+vGf5uXX7uFvbrOzscFmv8ud21fZ63UZ7x/w+Tfe4uj8nHnlg3WKUBAEOA61IUoSxudTqqJCQo8wimgFAb4oNykroSotZVESxhFekHB6fk5ZVYS+7yKH1mWCruYN2MYLDniiyCdjsnREoQ1e4CGVQbUGxEn3ovJ8UVPHGEOrt0FZ5Fy5egNfZxhdEcYhKmqRJD69bkLSCul1OpisJJ2MmY2G5J5wPiuI+wlJ0iZAkRcZ6WzKeHjCOM9J51P6u336nQ6D7QG9Vg+dVszmGXlekeYZfnuTImwh2keJhzaGjZtXePqJ24RFTb8rK8qiotAV2TwlCIRsPOdkOGX/aERw/RaqNePaZg9T5OgkwqKwVl0AY8QF9GtXj5v4amU39A29qCQOLKKFqiwxRUZRZJTvwgrKFwy4C4rDO03ApaG0VKJWDbdHtScX9aWlQtXkQS48700e5Apjoz5AVo5bjR6y8p3aKFTqopF42VsPl5QmrKNV0Xh57YW7lhrI1Uo7bh5aGpiqaUsg8D2sCVC4PlyVJWHg02q1EOXyv8VodFlQZHPEagb9NuHOhnMwxTG+77kMPW0pS4OIpkLXVBw3sWvjrtX3FO12l97GJvEwo5zNKdKcyWyO73vEUQTGYvOSdhyxudnn2vU9ur02nh9ircG3QlkYLEIYBLRbzjAMw4iNrQ0GGwOSlouieWlGFM7wg8BFO5R7c4521VB6LUa5+chFFl1/sXWEwxjjIoii8MIQ5XmOumb04gVd7IIrKpXj4lLlOel0itHlYlsUxyRJC7+hZTXKhCzcuhgUcatNu9MlCALyIl8YfCJSR3Ca+Q600c4AzwrmWUaeZfT6bdq1MV/piqrImU6njMZjZtMZxlr6/S6tVpsgaiFegDaKvHQRTm3cfGsBpTzarYRWq8Xu9gadVkLgO/eWMQaqCltk5OMh8/MTZuMhxlha/Q1UlKBVSKlCtAqwyqeptaCwy8hUbRE0z7TpvoKbu5U1KDRidR1RXE2Of/eIXPrbdLALmLXUxurnVetyF/aTuo8uDSix9sLxF3O1XYP2CzxTdxVLZ/8qzlzEOVnM3UtD0ulrwjJY1eAp1I4wWb3TRo9orMNm+4q1uPqQ7MWfLn4W/CDEeJ6jF6YzAl/Y2BzQarfww4CyKLGimM3mvP65z/PwwX067RbPPfskvX7fRefqvm6NIY5CRCnOzs546637zLOcG7c36fV6RO0uUXfA5r1j9KtvUxrFLDfcvX/EZDyuZw9NVZZ4aJ68fZ3ru5sUacrxwQGz6YRer0O728ZaOBtOwRoG3Ta3b17h2pVdklaCKI95VnJ04nSwSHCGVB0hdLrCkm1ja6+jUkLg+wS+B9ZQFI7dEVcVvhLCwMNUjsGhjYfv+VAbnE2PsasvwYK12ula4xHGGJQoxAto9TcJ2z1nfdjV0VrPoNZgjCFpd+lvbKE8v06NAM9TxHFEFHj171AUVc2cKDg7H3J8egoIT96+Tq+TOEPZUxirOTs74d7dt5mOzhn02+ztbTPY6ONHCQZFXmrKomKWlpQ2wAsVRV4wHI/QxtId9BkMNkkShfKcraArTVkW5OmcfDZmOnPBCGtBVIgKErw4IRAfUT4iqnYq1ow925jZtSahlDvWWjwsvmh85SKKjj3pUtBMmWKr/JHjspHHGoux0u6hr4Y5F0ihneOuUSsWo0cW9t7FsOgKeLg7v6Q8LdXYZs8lurhOJHU0BOwiKnmZa770VtWAYC1WDD4QexB5jooqdSTSr5+CWAc6ZhFKd61U2jLNLbmBxjWljYM0T6gtdDchecpRHJskf3AUXFFgBJQVKiIiP2Z4cJ9K4AMf/DD9/hb5ZEqrOyCfjpgeP2R0dsx0NqWwBc+970mu71yhnOdMjBAMdukbSyc0jPdPGI4mPDg849XX71F22sS+Iun3CUTxufsHzI0hKzO2br2H97z3w7z6Z/4ko+G4Nq6ch2Tv6hWevX2N9OiQ/bv3OJ5O+OoPv8jN3RukwxkHDx/y6v0Tqs0dnnjiFlv9LreeusbT16/iZyVl6GGLks984rO89G3fzt3T4eLlhlFEp5UQicfZ6RAr0E0SOlHkeOP4mCrDWsO8KNHzKYEvZNmYwaCPLwrRUGmozCWgthZjnO7k3olmcrJPOh8jdZJjoaGVdIjDpJ5MGn53DSiNto5BUPR3N9hq9zi495C99tPMpyNEctLRnMO3M7Qp6Q06tFttTGVIM5ffZMOAjY0NPOORpnOKbE5ZlYyGQ+Zo9m5sc+3aVbpBhzzP0LmhyHNMWTA9n5EZyzwweF4ICjpbHfauJtzeG9DyQvzAMMsL5nlKms4oipy80BwfHHP/3j6Hx+cE2z2eCW4QSEE6yVFhgoQJps4LqLOX3HOrn6MCjChnYNR9uh8U9PwCz1Yuwboo0EXObDyh9N6F1CyR1T+LvruqcEgDLgtNZJk3vdhv1TkGNJPWO41IWyupTTsr11DvpRafVrfVyu0Kq6JRphqlyWu+19fcOLFWj7/sxbW2wShWolnvfBaXvfqrmucqPVx5PjYI8AjQWKqqohOGJEkL5QVgoSgLssx5v3v9Lu0kXOS0WHCRROOo/C63vbkxR/K3WEe9rCqULpjOS4ajKaW29Da22Ny9wuHBQ85PTx3lPQ7xfY9WK+Hq1T2u7O2QJM6BJhq0KOZZzsnpOWdDR+2Mo5Dd3S129nbo9vsEYUhVlq6gQ1Giq7rYjKhaca0jgnV+olYCVuF73qIggvIEU7j8SKwhwClX4nkugga1s80ZK0qcEt0o4gu12miydMp8NnE5kABeQJh08aIEK6o2DF1fMtZ52hHnVEtabfqDAYGUFHm2fLzesuc5fHXRv6qqKMsCXRZ4WLrtFnEUIVjyImc6HjGdTCgKF01MWi1arZYrkKN8rFU1RcygrUWUclQ25ZEkMZ6CbqdFEseIgLEajMFUBWWWko3OGB7uMxueobUm6fSwfkQpAaVVlNbD1rTb5bBZ0fbFmY+N+aww+GIJrMa3FZ4pEEqwBZgCa0sM7z7KPXBBJ3Pf5dL2Sw6ylX+WuHGx4FezS6PoX8xgvLzno2SpNy1xb/kOZfF92aKLVNX64WJ+W8kjr3FJLYyRZcOuqOJyTDW5zI0jtdFjH3V/1jYOvcZS9fCCAON7RHFMu7NNf2OA+KHLPLaWMi843N/n5PiIfq/L7ds32dwc4Pk+yvcQ5bmxluekWcbBvYd8/vU3mYwm7F3dI2l3sOKRlZr9szH3Hh4zmee8587TXL92laOjU+4/2MfzFUnoo7Vms9/iuafuEHiWk4MDhufnbG5uMtgc4Hsew/GE4XhKUVZsbGyys73J5lafOGnh+SFxWuC9edfpvCKUVVk7KxWe58wHx+hyueBNjnQQ+HjKw9jawLSGsixRynfUVSXOCaQappeLSi4hzj1Xg8uts7piNjknm0+XVPrAo90f4IWJy/Ezq8Yli/FeGoMft+hvbBF4ljLP8YIAweVW+r6H8hxqlJWGqiTLc2bzOXmeM+j32Nro4ykF1lCWmvOzE06OD+m2Eu7cvMrG5gAVKKzRjopfVuRZyXRSMM8t1heUaMrK4AURG5vbbG5uEMcxogzGakxRkWVzZtMp08mI+XRCmqYuZ9QPCKI2ASFEgi8+4gXOYFQO51XjrWWZNtBM5mIclddRUC3KajAFppxj8hlUKZjHsygeayyqpkKVrCqHSwNw6QNfNSJXcWfVy7T0GrhjV4bggvPUAPqqLD1TTUdaKCzW0UedrVpb042FjaXOSCRRQuzh6KbSeEWWSlej3DXfG+VpXhrmuaGyTYGApVfYVW9yhoaoWhk0jibV2M5WoFoAW23ReC2MdCiM5s4zzxB5AWVeIVYoZjPsbEyZzcnTlHE2586zt7m5fRWdVhweTTn1rrJ17Sqts1Nmp0ecDIfkJcxKy7f829/Djl9wfDphfjZlPB3z059+lamNwAt48SPfyYe+7pfSbQ34iX/yd5mePOBzr72MNprrV3boCBw/eMB4NuIj3/YN7CR90lHG+GzE3XuHHBjFnfc+SzeKCUOf7UGf0fEJp/tHVLOMYlZwMpwgSlHVVbF8zyNJQgLfeaG0NcRJSBh6tbfPAaSpCua2Yl7mSDlnlkHSaaF1SYVxxRsqUx+zUlyojoY0/UoXBcV0RFVlWNH4XkjgGejs4Ict0MLSY1/3wjoSra0l7m3wzHu+lvHRp7lx7QbV+Ij+VoswjGkl28Rx7CYBbTl5+JCzo2OOT4acTac884Hnubq7SzXPwWjKPCMtM3afvsOg1yP2A8I4RLTF1fSoKNMCA/goTk9G0L5OVwKsybl5e4+r265any5KdFlS5AXjyQSrc0bHI95+eMinP/sqvZtb3HjxFpuDAbubfdCFy71sDRhLo0A1TIFlh2+mWc9BCWAJVUWiSjxTUpXOU1pWBbaqmJ2PGc5HXxAzvlKlmfq/oDSgttAk3F8L79CzaHa5sG9zlhq/LhTDkQUdasX2WuBS43Fd/W3VIJUVhUrVWtKFa1oYeyv3uNDLmmJg7jcrsgLxj4gBXDKGLytTti4gA865p2rPptEGPwkI4wTl+WjjKoUWRYHnKaKwRRj5gKUsS7TWzli0ssifc0qAYKwC8VyepBiqypCnGW/fP+SNtx+QW5+vfs/7+Lpv+FrS6ZhP/vQneO2Vl5mPR7TiiI3BgO3tLdqtGE/VeW0KdKU5Pjnn3oNDJpMZrVbC1s4Wt2/fYrA5IGq1UOIxGo8ZjaecnJ6T5kWtPDklaREBUQojrlCM8gTPd1WE/cB3NHytKcoSFSjEUwRRCGIxRteG0oX63zT5xA2zxhqXCzqfjMhmMyqtseLhRQlJbwMVttB18RxqOquIK9Rm6shsXBenKWanZOmM0Pedo6HOq2zyOJv3Z41FWYuP4IUB/W6HKAqxVM7wzzMQaHc6NZ0uxvOcwujidM7wLIsSa8ALQ8IorJkhljD0iaPARRutRlcGU+ak0wmj0xNGx4fMhmd4VhO32vitLjbuknstSokcTQuLslXNaFIL1/MC/S7Qslwua2ALfJ2idIrYFKtTyipDTIXnfzED5ytQ5PLfFcVqRQdbMbNXZMUItO/cVjPDVwzGd577gs1m3fkXGdLWLpxVjYm4WrtiWZFILumKFx0pF8B0cW5Z6G8XZSU/e6WNxX0srOPV/aT+vjRGfd/HeAo/DGm3Ynw/RNeFPqqi5OTokPOTY3a2Nrh5+zb9QQ9rDel8TkBIlIR4ymc+m/Pmm3d56827WISbt2+zu7eNH/hM5ykH56d89LNv8tOffZ20tDzx/Hv5Jb/423nvSy/x9/7W3+QTH/8o2WxMK/K4dW2Xfjfh6HCf0+Mj2p0OW3s7hFFIVePd4eExURixu7fDxuYGSatNnLRcQRaVUVSaotKgHEvEFTVzRpaIYHRdbbh+T56nCOoCZrouGmaMpixLwtAjikIC30dXGi+QhR620gtoXPf1MIYyJ5ucYcq5y18WIY4TOv1tbJAssK4xOhcGIw57/CCi2x9QzoakWYavK/I8o8gzML7TTwMF/tJaCXyffrfD7vYG3U4CaEfLHZ4zPDuhlUTs7u7Q63ZACdporFiMzimylPk0ZzavqAjxQh8rHkHk0d/YxPeEOIlRng/KUGpNPp8zPj9jeHbGbDqhrEpXQCkIwY9QUQsvaqPCDsZLEAkxyncpRSte3IXOUNskgkUpu3A+W6PROodihs3H2HLuKmt7j9F/+BJyFu1q8vHKuFGXoGR5mqVis+B529Uu0AA2S/OfZRmaBreWg1TqyMfKOZrcEhyl1EU4m4Fr68R5d3PKg2gll9Cywo6vr2tBsa0tPGOhKCsmuWCtWuxnsLUXRGjyKqtSSI1HpSyRXxe4QWENrviIVa5Ka32r2lNI0GbzylVakcd4MiWyAb6nqIo5ej7l7PgYoyqef/EZNvvbZPOS2Sjl4Dxj8KH3EqQnlJMTdFUyGk0Z5paP/LJvIi405dTQG2zz6sc/zcN5ysv393lr/5hMC9+2eYXKWl78xl/CB7/xO5m89Sl++O//VYr5kLcevM7x4QE3ttt804feSytMGB0dk88L3v7827x8cEKye4VuHDE8OWWwtUErjrhz5ybJSy9xcnefg7cOyaOIsBWT5hlRGNJtJ4hLN6HI00X/qSoDUrHdjiDPmVUFZ2mG+L6roqQNYoXXPvlJvvW7506ZWuliq926ic5goZrNmJ2fIGKI/Zgyz5hpwzNXbwMhGouRms68oMyY2gOj0MBsmIHJiKXgE5/5FAfTnLjj0+u0GQx6jKYzeq02KgjY2N2it72BVsLW1W2kqMhTVz0rTef4ieLK7hU6foSUBZSg8xzRmnyaMk1nZJUhz0qy9oDe1lMoleAlmn7YJpEhjUJfpAXT2YR0PuP8dMjZcMz5fMLtF67xnvc+x+3rT2AzYTjJsbFPpISHR2d0nnqB0LiKWXb1wa0+x/qZCEIoGl/nFOmUqpiidYpgKaczSinZuLN3GSbeFeImmYuG1tKmcp7VRmS5YenEYgX9Gi2iUWiavrboqg1NpjlL8/vSGGz2ozm+MeSEi0sNWVnQWZtDL+h/zVS8mpO6vKQFhcjWF9tsW6hPqx/EMSQWBclW8PpC4EvqRHwrFGWBNoYwahP4AbAshGKsIQgDfJc2uCiOUpZlfaOBw+zFHCKAAhWgBHwMhdVMRmPuH55wej4mSDpsbm7y5J07xFHAjRs3uHrlCh//qX8FRUq323aGojRFLxwF93w45v79hxwdn5DEMTdvXefZZ59ke8cpVygfrQ2zeca9hwecng/RRuMpRbVgK6x4dRc0LSH0fcLAx1euwE5ZaYrK1CkRPlHUwliBmoKqV4oNLNpq2rcuZaIqcyajc4oipakWHgQRSbtTF2lQtQHr5itX8tNi6yU7lB/Q6fc5T4eURYmYZomJhWVe07gWfn9ECb6niKOAVivB8wRTuZL9QeAThSFxnLgIauPxro18XRpHzc9SlJ8QBoFTKut+qivP/W0KIpU58/GQ4ekxo/MzdJ4RtdpsDDboDAYEnS1M2KH0EmzYQvzQTfj1PTeRJcQpl4tbk7qwjdEoW+FVBUpn2HxCVc3RVYo1rrBRpL6oivSVL++0k+rPqwMaLgDdIw/+0s91wTFW9+8FRja23iN116UZaWt8XMWdR11Ns9/SuFti4Gqzj/q+aHsBihefgbXLL0pwNG4cG0+Ucmwzq5lMJhwfHhJHIbfu3GawtYlFODs9497bb7O9s8PulYg8L3n77n0ODo/ZvXaVJ+/codttU5U587xgPE954+4D3nj7AfOsxAtjelu7xP1tXvrw1/PEk0/w+md+mo//+I9w//OvsNWNqbI5uQT0NzbY2dslbiWYynJ0dMLLr7xOXlY889wzPPPcM/T7PVeIy/cJwohiOOPkbESaFQtMAepiXV6dCmCotKkNyTpSp7w6yuZooFob8qLCC6C3sUWn30frCqtdzuLSQcaiDxprHWPMGMoiYz4ZYYocZd15knaHTm/gWCwNPtYvR2qajamXdPIDx3RIJ+ek6RyVC5PxmNl0ShWFbv4xPtZ6rnq30fi+Io667Gxu4isospQsT5nPZyRJzM72Dt12G6dByjLfsCprHTAlzUGHrrCR5wW1UyEg8BWer0AJpS5IpynD0yGnxyfMphNEXOGhVqtLq9snSNrgJ0iQYP0OeCFNHN3d8cWaLU2KzMJ5aWs9V5foco7NR0gxhnKKL5Yw9JxR+hj5Iki4HH32kQO38T43A3h58auemsts+MZ7tHR5g105wYIeV+NHaWtjrlaaBUukDL7XrD1lV45dGg5N0ZuqpjLpQlxhOWXwRYhDIfJZFrQxkFeW0iqKsi7LIxazAhhNNdYGNyyWwlZU4sxXX2ruOS6fxlB72q2gLWijwOvSjnscPXgdkha2LGipCIVQzCd4rYDNvV22BruYsuL88D4PDk94axbQ+uTHeCKaEJUT8lJzenrG01/9HB1dMj8/4/hsyv4E/N4G9nTK/aMTNgZ90qyiv7mLZ52nJy1LDu7fZaff4u7kgL2r21y7tcFz17aJrTA5HjFLC+4/OOFTbzxkJD63Bl2uXN3iO77lw9y8cZUQ4ezohPuHb/LZj7/KD/zTH6cykGUlxhjiJHGDVgTf8zk7PccIrkJgYOi02rTimGKaklvrksSrisoY9m7f5Lt+xXfz6VfuIUVF4TUZBg0cNP1yafSLhXQ2oTQp4ntYTyhLIbc+/Ss36mJEHk003Jn15oJ2XFmLCUJuXH2S6XBCb3cTG7vCLuPTEZPTIe1uB5POydOCuB0zy1I2b+wSDmLaoYdN56TpkGSjy41rN4j8iMDzMGVBVbq12LKyIM8LijQnLw3jYcoxHt2whUKIRZP4GmUs2TxjMplSzWccHR0ynWcc7h+ThiUf/tYP8sTONUSDWI9MLF4YIwrOTs7YuvUihW3yCuzCWHEPURbFqmwN2D6amAxPT8mymaNhaUtepJQmI9nusbl79QsBxlesLFWQFQWBFd1paQGsbLiomtjLnx5lcTVN2KYYAAu4avJxFrT+VWxrwL9pVsnKpqUhaOuBsKp/LRgiyxd/4dIbSrK1NZ27MWAbnF6cpykwYZdLJKw8qQUm1nat1MtIlJVGlE8Qt9zEjtCs8xl4Hsb6WFtRFQVZljKtq88FYYQXeIC3vLba2dhUQRXlonaVVaRZRamhHUVsbgwWFQb7/QHXrt3g9e5rZGNNEPgEnoc1plYmYDZLuX//ISenZ3S7HZ579mleePF5Njd7S6qPtaRZzr0H+9x/eEBalK6Cnu+7Kq1m6RS0tlkjTPBE4fueK6lfadIsJ01zysrgRx5x0qE32CYIQsqqJLF6EZ11j9YuPMaNMarQzGcjZuMhVpdubvI8gigiaXdRfuDopLLMO7TW1ukWgsESeD6t7oDR6QFaGyoqGocAdsWtulDEZPHMgyAgDAMat4cXBI5irITAd/mXiNTKHuRFyXQ24fj4jPE0Z2vnKspzSqVgMUphlULrkmmRUhUp+XTCdHRGmacEfsDGYJPeYJNOb4CfJGiJyIyHFVcVUHzfFa5o+LTNOJVlFczmqfpi8G2Fb0o8nSNlhslTrM6wVrv3GgaEcXC5o3/lywoGNbLAB6eqLHEGLtB6HTQsHUVyocFmn/q7rJxqcfDqdbitzdzdHLdQehc5psLq1uU5oJm9Gkfa8k0vL2vV4HPGpVz8fQVzGzOyufclFNqLbS9ni3oHp3lqY5wzxhoahofLQ3NFBftbfQaDHr7nMZ2lvPH5t9jff0ir02M+z9jfP+Tw8ITtvSs8/cwz9Hod8nRGlWuHQSLMs5wsz6mKnDAMaSUR8zSlzOZ4VnHt2k3ubg7Y/1xF5Ant2FHpk1aLMI7J5il37x3w0Y9+kuPTIe973wu8//3vY2NrA2vdeqdVpZlnBW+8fY8H+4eURlFW1cIIc/Rfx0RqDEIL+J7C8xwdM8+yxXZXoEwTxQk3bj/JxtY2ZVXi1dXqlVq+P1n0nTpIYw1FmjKdTKiqyj1XPyBud0k6nToHvjadpFmZwF5wdljlE8YtEEU6nyMilEWG0XqBc02+uaoDR77n0Wkn9LotfN8DU6JE6LRbtFsJ3W4XUa7ojwC2LsCmK0uaFoxGEyY5hL2YqOuhlF8/N0E8qLRmNs2osjHnx/sMz07I84w4Stjc2qDf65O0e6ggRotPaYXKqEVedsOgbDzXUusT9tL4gaaIl8aWKToboefnKJMTehDWhZWcI/cLy2ONxWaINt6T1RxEY5vQ8TL3sNm/+cWs1l9cKD7NCGYlinjRUwSOJqobA7I2cMDgKSFQuLW9sCziIVIr/s3grsHDlFCJdtfRrENmobLCvLCUFloIvoWi0swKqJrHXa9HZVfA0Xk7lpC1oLSKy7GxCy1KLa7dPUPrFtM0gERMhmNOTo7w+gOefvIZ2oGrKMewhR/t0Gv3KOY50/MzzoZTPvHxVxntPMEv/5anKV75UY5PDsl9j5c+8lXcuX6b+dmIk5MREwl47sPvw6aaz332VbaffJKNXh9jLe1Wh6qymEpTHLzN2d3PcHp+QKFzNnc3uL53Dc9a0plbn+eNN+/ziVc+z9E858n3vcC3fOPX8PStG0TA9HTIyWTM/r2HvH1vnx//qU/y+uEx0c4GkzR3azcq93ziKEJhSbPMAYrvE0YBcRSiy5L5bOZelHZPXuuSjd0BH/ia9zPYuukWe17xmyzpgsvZxwhu7a3MGTmFLuv+pPF2btDpbuPl9ftfpSLZup+KcUqNMWxcv016csw0g2GZ48U+e3t7dDp3nCEXxQTKoKxbhqQqNVmeYwtLUWlEG5Jej6u7V4nw3ZITZeVyEdKUIs/Iq5w0y8lKzfQ84+VPvUbxnq9CWw2mxKtmGDsl1ymz8xH7RyekxZzT83Mk8dl7cpebN/fY2timlfQxaUFRFpS5Ji8soW8ZbG5TSLSgUa84npoBuVSiGgaBrYhMCuWMKptR2gyjS4xYdq5dJQljt6bRu0wuG3rLQF7j5mTF1X0xirf6l9pAaA5bKNx2acCpxaQI1CW+bY1ZqinIBQvHGODy10SW17lcCg8rTb5ifbWyLI4jsqSGrd7tqh27NBBZOsZWsHShhNXKj8FFF53R0liG7tp0jY9WPJSYej0+SxAlxHEb8QIQp1g4XNXoqqAsUvJ07qr5pSlhnOAF0WKZFyPUBa5qh6BqFm7yXGVtFBafuNXjyrVb7F655ujwekldx2h8scSBjycWoyt0vQTS6ek5B4dHtDttnn3+eZ5//hk2Bn33/CoNxlGxHu4/5LOvvMrp+Yggjoj8AO1rBAW2AlsbZsZAXUHQr6slGgPTNGc2m5PlBdoInh+xsX2FnWs3SXobzjNtNE01Tlv3naXFXjtR84J0OiJLp2jjIrRKIsJWh7jdRbyAhnhkqY1rWxv69ZMT5RMlbZQXoKu83u6UPZr3qlyERAHiyqgiShGGoYsqWre+m1fnIXnilghBvLpfWSpTkc6mHNy/z5tv3cNISKe3gbGLBAKM1VRVQZGn5OmUfDamSF3ho15/QKfbo9MbEMQdlwcmHpUWl6skzfpuapFWQj1eFo7Eelw0edueNfhi8GyFNSVaV05BDAICP8IPAnzfq6nR7y656Ixa+djoY5aarXXRwF6aUqz80nxbPudVw9N9WoDh8iRc/GwXpEPXpqm7Xw0UqNXracYzNfbVV+lefYOrDocv2KcLPW7pBFviu2uzYVgsuHDNbSyH3+J+3YfGiefuz12WMx6kGTueIggCknabMHKL3E/nGa+//iavvvY5t45okjCdzjg9O6fd6XL7iSfo9vsUWcrZ2RlVVRK1OviRB+Lh+xFRnLB79Rqbu7tYpSiqimIyZvjgAW9+7jVskXHr2tPsbg1I4hhjLHfv7rvzvvoG58MRL773eb7qq19ie2cLzw9AFFLkDEen3L23z0997JMcn45IOh3SvKjx1OGE8txyY82asUpUXdjGFZFJM+0M6LLEaA02YnNrmztPPUPc6VFoTaA1VpX4eDQrK6yUNnLP1pbk8zHpfIq2FsRHeQlxfxsVtymb0poraQANfilVky+NRxi38YKQIi8cAQEIQ58kcgZ3uxURBx6CIfcUVaDodVqOGo9bDikKQ/w4cvR56vol1rhljCq3fmWe5oyGE05Ph+QmpB2WtLQlqO/JWktVGqpyTjUfMjs9YHJ+jEWz0e+xs7vDYGuLOE7AC6m0JSu0M0S1xYhFlOfmQFXfc51etxpddKsEKJevaCzKFNhyjk4nqCojDFyRsziJ3X1drvh4SR6LhNo6L4wrKYsztuoBuozNyIqi4gbJIzIcF8rQkp2snHe60aDEeWdsTV2qFlqsQVmDJxbfs/jK4NfnM3a5HEBTwr2ZCLWxdWEElomvzXXXo18bsHUROV8sRQmFhqqpRle3t+qFN3W00OkrTrnzlHKLC1u7ZCqIXXjLjAFtXLEcbSwUGePjA7SnuHV9l0G3jS5LIt+nbCdEElJMJ0zPzzk8PeWTn3iViad430svYecTZmfH5Lrg9gvPc237Ctn5hPH5lFGW4+9tUmQ544NTxtMR7d4GXtTmqQ98M+0gRqzFF8vo6AFGCtqdPpP5jOeevUNsYHg+pNKGT33ss3zu+BQbKJ565hof/NqXeObWdfRsxvFwxNHhASeHp7z5xl0OhjOmZYUouHLjJmVeYU2F7ymiyBWVKLICbSAKA/zAeZ19P2Q+mpFOp/i+U+aCICTwXGz26GCfg3sP2d5+gajbXylN0ExgS3qzsRYxFWU6wegM5XtOGTSGK8+9hFiFUk1REVaOhKa0ekOzUkHM/tGY1laPydGQtMw5Oz0hTmI67TbddotWK6IdOuAx2mA9aLfbhEFMq9uiE8fEgU+AwmiNLjOqqsQolzeUTjMe3D/mwemQ+SznvJiwOxjgaYvJhggjqnJKmo7Js4zZZEamCrobCXu3r7PV36KfJIR+BJWmKkqKomA2z9ESEMUh4/NzvI3n0CjnwFnMsaugYBdflbUoXZFORlQyB6WpsoKol7C5uU03bmM0BPIuVKBWlMqF26sx5OCCxuCiddTOc7t8ro0OtojgLhUptWIsXlS57FLxwLEPmrezNBxrF9yF9SyW/naxUtP03S/LPs4ylWHFv7LE5OWV2EZxssuxtegbi23uvoyAqo3Vi/OLrZ1ptWFbR5a0sbSi2C1cLR5NhFSsxpQF+XzKbDpmPBoznkxBPIKk5SiFSrnCLNai67+mLrlqm1w85aNUiB/EdHsJd554kp3tbQSoyoo0zTg+PmI6GdH2IYkCRCxlmWOxlNpyfHyCMZann36SF154jsHGoKaV1QqPNgxHY1559XXeunefvKwIk4TAD9Ce87jbyjFXBDDGYrRFPIWnHCWzKN2aZbOZq34snk8QJmzsXGFr7ypE3UW+IGIWz2mRy1i/XWf3FqSzMUU2d+cyjjURtzv4cVJr+3VUsZm0gUXBFxFEfJJWB98PKNMZGOdd91SwoM8q5SGeWz1ZtFuXF+URRCHKc6XqlXIFF6z1Vnql078rXTEaj3h4/z5333qL87Mh3cF2vXi4ptKOwprnObPZhGw+o8rnmKogjEK67TbdXo+41cELE6yKnKZhLKXWVEa5vi/LmcGTej2yRT9nmerGSuXT2tAFZwSrMCIIY5db6geugu0XyeP5ShR76cNFg7D+2TTsr0vHNPutril7YXuDKbLYuMCSlUYWiCeNwnQpb3AFPy31EnAL2jhLY5FGH2WBe80ZFljb/LOKfYufmmtrnkKj2166VltfK8v7kboCZ3Os4PL5lOc5p0Pg1xWOXeQ9DCPSrGAyPWD/4Ig333wbUFy7fp04aXF+fo6xlp2dPQb9AcYYTk5OuHf3Pjs722x2utgCklabTn8D4j7Pvver6G/uUNXrRFdFxnR0gmdKXnz+ad77nqeJo5DTk1Ne/tzbvPram0ynjkb5/PNP8dJLL7jiLL6PF/j4XoCuNA8PjvjoT3+Kew8OKLTFqzTzNENr6+7P91HKoyxdFNIYi/IUYZ2TXZalWydW6gruxqBE2NnZZe/qNYhbaANal+ApxxCp+5XUuhhNUEbnpOMzivnEvX/lYf2YpL8DXow2rrikqx0iC8O/mQA9BZ4KiFsdlBdSVhVeTaXx62uOo4BWFBKHPiJuWZCyUG5d3cCxQsQ2+Ojy8Y2p+61xtPmyyMnSjOH5hJOTIZNJhteKQII67UKDUlRVTp7OKabn5JMzqukZrchnZ3ePnb1tOt0ufhSjLS7KW5ZURYWucOs1KpcfrzzP6a515fNmCTlZ6aWL71aDLrFVAaYi8BVRHBMlCUFdedy/0OvfKY/V+nLtihNoUYsqoUvPUT0VLSJry+3NS7K1i6qpBtWsd9WAgF5pUQwO4GsQEG3AVothqzxn0PnKrhhwtWKCK6TQoNuiEI1dKkRQRyFtA0sOXkxlMdpdf1NVU5sl5UCsWk6wTbv1V1M7L/ViyY6lsbiau6KtUBoXzbQWbJFTYXnq+few2etRzOd4ns/87ARrS4r5jNHxMQ/vP+Tl19+gu7fLVz33NL1bTzI9mSCxz+2nnmKnNyAbTUmnKWlRcDyc0N2+Srco6PXaJO0O17pdphKz9+SL+OImfa8qKdIzTFXw+Vde5c5LT/P09W2m9x+wf3yMTWLod/jQrR22+x0yA9d3t5kNh0yGZ8znOXGvx3bl8dbnHpLlFVlegrh11ATXgVstt/6i0RVplrn3LWDFFTNQxjAcjsjnKUnkEwQegecKQlRi6G92eOaZ29D20YFCV6sTkNDwYJaFjgzVbITRBYHnUZQlVWW4euNpPGNrMFp0nrqbNkqUqhcoBS/p4LU38eKY3athDTiCHyqiKKLTSUiSiG4cU85STo5P0KbEWk3cieklCYGtXMTDVlSly2NMZ2OsB3mpmcxKppOc/fuHxDs9tm7f5MbedaJCM3xwHxOfE5kJp2enlEXO8XTIU+97gr2NAXG7S6/Vwys0VVVS2JysKJhNMyapJujGlEVB0t+gwKuNDLvsx4u7Z6kQ1KAS2IpyNiOTGa22pZcMaHfatGJX1VA8hSnehdVQL8gSMy7SNZdqkVOoVpQet8PKvst2ZAXzsKuryK5g6UKpWrEHrV3g6tJwWFzZBaad++tadqvLrRiLsmrw1kdcUtyWBmTTYuMtX2Jqc53N+n+L6xZLU3LK4a7DZFdMxXmigzBC+aE7zhjQFTqfk05HjEdDJuMx0+mMsjK02glhENbV56jbqQ+riylIowzYRpFUhFFM1E64fesGnVZcGySG45MT3nrzTdL5jI2tHnHs1hY0usKIkGUFRZ6xs73JE0/cZjDo4Xk1vtTGWVmWHB2fce/BPvO5y6326gqnaqXy6WL+Qxa4EfgeAhR5QZpmFGVFY86IUkRxizhpYwJX8GDpIV6+IRFVv08PpMJWBelkSJnni2IuKghJ2j2CMAakLrrjWlgsdb3StihFnLTww4hqzqKk/KL0eu2ZV3WRGsQxbTyliKOQwPdcdT3l1Q5as+z3xlJkKaenZxzs7zM8O8NTwu72Nr3NHVqtGIWlKguqqmA6GTEZj9BlQRh4dDpdOq1WXSwnwQsjEB8rPkZXWF2hyxJNgASCKG9RnK7pl40B4XwLshiDCrfucuOoERGUF+AFChWoWnH2cClFj1eg3m2yakytYp9c+tBsu2gorn5fpobYd25cYNkqa2vpZlht9SItfzFnrxqSzZ5Sf26cddRRwgX2ruBz41pYWI21kWJdFH6JxizOvRqZX23POb6aaKiH8kPEDxDx0XVhPmMgLyrOzs4Yng+ZzmZsbm9z/cZ1rl2/vqgM3O/3GWwMEKWYzWY8fHjAcDTh1p0n6HR7mHlBGAZESYt40OXOM88QJglVVZJnU6bDE86O9knigKeefoL+Rp/haMynP/Mab917wOagx9d84L2OChsGbG5t4Hs+YRSjlIeqcWYymXF6NiTLi/q5WLesjwi+7xGFgVs30Gi01iBC6HuEYeiWiStLTFXW79k9a+X5tLsdojgmw9EwRZtFrrRt8gzricvU2G+LgvloSJllbjwKhHFCd7AJnrdwzl7IU8YFkFy/EpcX3uriBRFGZ84ZUjM/pKGGrsynTRAs8D085dXr57oUs4aZZqzFVBVVWZBnc2bTGdPJhJPTEcPxnCBK6G9u0+52ECxlnpKWFel8QjodU8xG+LZga9Dj2pVttnc2iJIYz3eFhMo8J89zqspRW43xsOLhHIYKUV7tXJSlTrwyfhZOnUb/sAbBpWEkgVs2xA8il0upxBmUj5HHGotFUwXU2IWHctX7IzhKlaMdAXi1L9NgjSwWPXWiXMcAlDEgti4YIQswl9poVBiUrhCcZ0JUs/5XbVQu7QRM41HUxhWPaQw6lobbItutRq/FPdQXVxm7oGJJ/XxNXYJWN33vgkblOpIrdOXOo1TtZW/0wgVK1jmTRmgWCg3iFtdv3aYVCkVWoMTDFhnz4TEiJePjIw4PDhjORnzg69/HztY2nfaAYdhD2yn9rT6bvR5VmjMbzTg/HfP28Qn3T6d8w4e2CAKfrZpWkHgBUxOS9LacIaQrjl/7OAdvfZrPfvYTtLd7vP89T6LPhpwcH3N4dk5ra4Ov/0XfQDSdMDo6ZlpZdGG4P7zPjVs32AlbhHg8zN/Galec5Ww4oipdrk06ndSeZ6GyBl8psiyn0prIj2jHMb1WiyovyNIMLFTaoALn3VDKo9VqMTo+Y5ZZ5MGnKZMrxHvP41l/CQZN3pa4xbCtqZgOjzFoyiKnUgqvu0Gnv41vnSfQKQ/LychrXunCE2rpbG/T6+3wmU99nFwMyleEcUgchfS7bcYjj+s3rxGFIfM8R4Vu8EWJopuEBNqtCacrt77cbDx3hR3GI6bTOW+8vc/IarZ3NvnG7/gw4gdEnT304ApVZjjb30cPxsTG0RmsX3DruRs8+/yzqFRAKUI/xBQZ1hjm2Yw8zckrA60+QZzQijWFCdAqWRSjkpq+c0H9qQ1J9wwsiCVuhaRz8P2Q3saASAWoWvm3pkJX2eNg4ytT7KIHPG6n5j9Wd278D+6vXTIoViw0s/A+ywIbGlhfKiIX1SQrLiLZnGRpiNQT4wVtZnl9TTGwFbYWFy+84YQ0711WrnUZr18ob8twaK2Q2eX14NasbSbpJtdONbheT+Se58qOW2OwZU4xGzM6O2Z4ekKazrDW0u608fyAKEmI4gjqHB1jQduameHskJpB4q7d1HjtByGtToftzQHWanRZMR2P+Nyrr/Lg/j2sqWglIUkcLiLsIoLWFVEYsrm9zebGwLVrmnWDXQrEPMs4Px8ymcxcUet6plNK4StvsUA19RJLnhXE8wjDgFbiqq5mWe4qfFr37jwcbVOXJel0ggkNVVFi6vCybfqTcUqsqudIBaTpjHQyxmrtKElG4UUt4t4AFbild2zz/mhIrStLCFj37Lwgwg9Ct6ddEpYdA7VZH1ItlA2sIYpd4bImitA4I6y4yrK60synEw4ePuTg4JCyKGl3Omzv7OAHIWHcIYoirHUVEqeTMcOzU6oip91pMxj06bbbRHFEEIROKRJXXRHqAhJ5RllYCN16dMvlkJruvqQhNv2U+kkoDB6OsSRYd7zvuTUvPQW+B8rDKovh8eXkvyJlYWg1epAsx66sGmcXYn31vpc+NtNHrZMtTLhVx6Q4J3mT+9hg5TIKuFSvVp1sq58abJXaCFhtZ4mhK5Zoc2uLc1ou38yFs9ilkn0Z31dxtNH7mvM1Rgq4CBpQjxe3jqotK8o8Z3g+5PDwmMlkAsDNW7e4cu0avcEAzw8oyoK41a6dHjCZjDk8PObg8JhWOyHpdBHPp9I5ZVlhrSWOI/q9Hkpc6s58eMLh3Tc4Oz6glUR0Om3SLOPw6BhrDV/3tR/gmadv0+u0GY3GnI9nRFFIGDsMEKXQlSbLCxBXFGaB9fXkFEQuVzmMQkenrDSVNnieot1u0W4n6KpCZ9otKyQNRjrHmViDLjIKUZQ1i8tfcaRefEmCJ6DzlHTkghtO53cMilZ/A5RfMx5X21ia+i7FwwWKoqRDmLSwaYo2jtHQBLCsNRit3eoF1pClc4xxwSq/dgYaUzkctRZbVs5QLgrSdObWOh8Omc9S0rwiTloMdq7S37mK9SLSSjMeT5lOppRZClVOO1Rc37vKtb0B/X4HLwxwTERNkadk8wllXmDwMfggfm1o+A4TF7OgG3y2MZixy3G00Dvc/77nEfsJUQhBEOCHAZ7vqkhr/Y7RfkG+JD6ZyLJ4ASuKkBtUdjHIG/73YqWjFVCwxmCp101qXmptbS6UlQa8aw5wM8Fh6zzDxToqsgQqUYuEVKxdrP24yJ2xLNau8hZKjkO4VXqKNs16VM4n70q0N0bycspxTTiFsAE7XXtGjMgi+iC1kuPKhTsWu8FNrBIE+IUwm4xQXkASJ9h8TFUVpKNz3n7zPjpSPP/VL3Cl36PKK05zn1l/QGswZ5D1MXnBfJ5ydHzG4f45H/34Z7nx/vfihYreYIPTh4dkeUkR5BR+QBg6D3hxfsbJGx/nbHzAsy8+hwoVQTnh5GCfk/GI28/c4bmnblMNh1RVxf7xKcXeHmE74umnniQwliIrOD844LXXXuPB8BRrS7Qpacchtl6nRiFURYkKfTzPxxpLkkQEUcDW5gYb3T77dx/Ua+YYSgO21MRxAJVmdHjOP77/I7znAx8kVgVpKrSuv9ctfcEKLtQzhQJ0mTMeHlNUOX4cY9OUcLBL4LfwFrH6hTq0GGrLjg5iBWWFyek5STemEycEQUjSimglEb1BB18b0tMRh6+8wSydczg657kPPcdT/T6RVVhdYZWLnmTzlCybk81TJnmBSmKmoynxtTZ71wZc3blKNsqYGEuFYn4+4vjgIRqNng4JNxLe//6vJvECWl6Mn3j1JORA2lSGYlIwms6xvR7traskVcno6A1kcNUtUG0dWdsun9ri02oesq0rVCrP0h306HR94jBGSgtVhbYlVBXvyriiXfFpr05aFyJrzef62dVcT1uP90d6sG0N1CsMhwt6FEu/UmMsNlahshazUH4v9tULRiArXkXLBc/7ct/mJFyIkDbq0YWCKivtun+bjOGlIbEwKetcV6WW92FZ5hEZo+tlHgRd5i7KPhtxun+f08MHVEXmlJ52izCJEeVjxa37aa2isoIRty5fZR1Lw9GDa5orCm1c9WptDFEc4fs+RZaB1Tx4cJ/XP/cq0/GIrW7C9saAbichDGrKkigwllYrZrCxgef7TvkxBmMtZenWvprPU7TWeJ4rtuOW/Sipyqq+f4Wv1EJpFgDPo9NK2NjoY7VhNpnT5KoqHBvClgVHD+4ynMzxu1u0uwOSdgff9xf9zLiJjqZYjjKGbDolnU2XHVGEIO6QdDZcVdBGgbWWhXe5eb31XwOI56E8b2mY1tFsJUsHaEOp1roEDN1WTLcd4/uqbscujs2yjNOTE44ePmR0foZSHrs72/Q2NgijuH5/bpYti4zZLGN0dkKRZXQ7bXa2t9jY2CCKIme8Sb2mpjVYo2uWxow0zTEqchRf8RcjYEntafqtu2E3kxun4OP0i8YwMMrDSoBVxi1ijSwiVI8wl94FctFwWix7wAoWyOXdlrNFE61u9D610qShyRms91n4xi7mITa6XYNbZoEc9etb4JhZposvsJbFtayeq9FAVy/ZrHxmoUQ/6nmsGJor93vhkzhd0GF1nbMtTklvimU1rDUDziDRFePRkPt373J+dkarnbC5tcXelT2SXh/xA5TnEylFFCdkacrR8THj0Ziz8xEGy+bWlsO0PGc2mZLNU6hZAFEUYk2FKVKmp4eMjh6g0ym9Qbs2Oid4nsd7XnyeGzevkkQ+WZZyPhpSauVo6EFYOwkU58NzDo9PCesiYW/fP8BTqs67doyCLAoJAt/VXyhLrLVEUUin06HdihmNRnXBL7eOoqrfVZ7lHO0f0N+8D+1tVM+56l1e4dL91wCfh4eHYTYZkQ5PULqssdCj3dskiLsYHGvDOayaNsylfuE+h3GLVqdHmg3BVLUjzDn5pJ6rqspQFgWT6YQk9InCpmJzPecYg7aGqqwoi4J0NmN0fs7Z2SlFXuKFIRtbPVrdAZ3BNipKKK0iLTKmkzGT8RQPw06/xZ1rW1zf26CVOMp7CWhduQjk5JxsNnEFOf0EfM8tkaF8lB8gnr8I3r2jyy4MsmW9BJc/D54f4nsKP7T4vjPixWq0rtBF8ajBsZDHGosXlEJZtdadMmCAlUwKmuTiJm19VUFSpsJajYvFuTL+nqqPqkGA2kgUzCIZHVz+R2UtGMGt3mcXnuxlYnGz+PTSeDXWhf+tcd6oqrkPabzGLIAHam91DTAOsNxJtFlhsUu96LVdWu+rhmCdjelKCmMXC0o7j5jzinvVjOHJfVJdsLN7jaoCnRXMRyecHxxRqYrrN25w68p15tM5pTW8cViwd2dAMr2PD8zGU0bnI7K05PPnI3797/heAgP9rW2C0vLKJz/LyXhEv7+JznPmw3NMMmBycoCWiuu3bvPmZz/LlaevU45GPDw8YvPOdZ575jYq1aTpnLt399kvKz74nhd44sYdVFmRTuecHh3wuU+/xmuHR/ya3/Lr+ZG/+Q/56Y99lqDdodNuk81SSl0SJhFxFDE+HzGrCpff6Sk2r1yhF0UMj044x9Z9CJRy9fOzecpP/vOfIui16V6/SuwlPP2t3+UMRWmS0JeeSTfpGCaHD8gnZ1hfU84m2DCmvbFNqPzG07Hanet3V8PAyoRDGBF0BvTjykUBlEU8wQ9d8vNgb5Nge4dxt02a5WyVV7j9xA16UYKtFxoPohBdVJSlJs9zjk6OGU9mTLMpT37oDrdvXaOXbKJnmlmakm4MEBWhqxKlLFWp6V7Z4IUXn2GvOyBLc8RYl+dVuTzJdDphMp+Ra03Y7zCJNglUm/H5W2xs71JG/UUl1EVGz4XHsKQnCuAZg07n9PshnUAwGLx6ls4zA8q44ki6fBxsfEXK0tBb/MPCJFqhPF0Qs3iCPFILWf1t2eSjzn5p4+oEUGPuIkqyvJYLDDmxj7yHpfHLO7bBsqBN8/Oqcrx6vlV6V6OAN9e5qp83V+eMZI02FWWZk2cl6cyjMBnTs2NODw+ZT2YkrYh2t0er28GPQlCBy3Uzbp1FtMUVGqujkrY2dm3tkKxTJIrKoI0mSRLCKACBLMt4cO8eZyfHBMpydXeDa1e26LTdAvCillnQnufRShJX4c8YKmOoqpLpdMZ4PEJry/ZGn73tDe492KcotFMW0gzB1GsXNo5I17bvKZIkodfrUGQFnu9yhz0RxHPe6qrI2X9wF7N/QLyxx5PPPLfsC+JcWhfmHiWYUjMenpPNZo6Da0GUT7u3Qdztg+cv3k/dzAUaZmPQLt0jqp57Gw/00hnh3quL5hmtiQKPXichDn0UBm0snnLLeJydnnN0dOTWga0qNrY26XX7dDodgigG5VGUFXmhKYqMLC8Zj6cURU6n22V7e4vBhlvnza+X1NB14QirS4p0xvh8SJrm4LcIul1X+dmrC3M0nVNWunnTX+1Sm1nQTwERF1G0pjYSxfV1YzRYjbE57zqxl/8+CrsufRcWkb1LP1/cdfHDRQxd9KlGObt09CNhcaXWxAXDtTH8mqPsRT35wm1csgPtaiN2iaZNEanF8kiy2prUhIGl3glLI5k679Jq59BojB1daapizunhIcPzU1qthGvXrtEfDAjCiDzNUb6BsDazjXYG1eERs9mMOEnYu7LD1tYAXeaM8pyj4xNm8znWushQ4HvYqqiXmDkhT+d4Crc0kKcQP2B7b4d+v48Ao9GU8/NzKitcuX6d3mBAEMZUFj75qc/wyU98ks3NTa5evUqaF7zyuTeYztJl4Rpd1lWdK0eRLB3VNI4jOp0WURQymU4cu0bVVU4RjBWmacpnP/tZxrOMmy9+gN3unsOq1XUCa/adez0KY0omoyHzycjR6pWCMKK9sQthq04tM66JL9CXmnS5IAhoJW0yz8foAqmrVPu+53IecdHgPMuoypK42yKJo0XkzaVBVGRpSjqfk87rv7MZnueztTug298gTFqoIMKqAF0vxWerEluVRD7sbAx45vYVdjc6JGG9XjAWXRbk2ZT55Jzp8NS9Sy/Ea4eowEO8APFjxE+wKqCpI+BwvrHAuPQM6louCpdr6vn4niIILJ5nwVYYXVIVOUX2eKz7IpHF5uFfVrKX42nVoFS1bd8YYthm2QhTG4qL6dQxm4zFqKZqWTPmDGbRagMBzhirLCuPg9qopKY81YC0ouLUjKDaAHQurgWFVzXFcVZLQzdUH0vlVAAazoEzLN3Bzjh0L2rRPe1yYi6swRqFYTkIvDrPx7cVZnSPw/17xFs7rgqR0ZRpxvz4lKzKufPsHW4+8RQ2LZiPR+wfzgi3niGe3MUMP888HTEbTtk/nWC6O3zjL/oIG5HP2fGUj/7ET2ON8Om3H/CLfskv4uDeMflMEfk+yhoCXwg94f7rb/DKy69z+303yHXOcy+9wM2bN6lmMyajKYcnI96cTHnxG7+VZ249TTUZMxuOOXpwyN233uQHf+hH+c2/59/n6SdvMHz/8/zIRz9OOZkRijAtclqdNq1WRJUXpNMZpihRSUiUxEjgEbdjNne2GA5HzGYzbCAESqFFUZaGs9E5z17bI58V9N73TUjYR9Wc4OZtmbqveYBfGoZH9/EiH2N9vDAhrwzJ1nU85WH1qp9wObEsqcmuZyoRJAjo9Hd4+2OfIg+FOAwJAg+TtxkdVxy8/QDfU6hKc3p2zuDOFXrdDr7nQ1Eh2nC8f8J0Mub05Ji8KtCq4tpzV9jdeR+9MIayRKcF07MJ0/EESfq0uiVpPqXd9tnZa7F3dcDV7W2CQpAARLvS8sZU6EIzORtzPBqRe5DbjNZTTxBVhm43QRdT8jhaUGQuTKKNYr+cvd2zEUvUiYjDDEqD7+MimIWmyDOsqZiNJszNnGe+MGh8Rco7VaCVHxea8xc4rlbEF200inlDkW+UjHqbrBwsK5jYKCiycv7VNl1bS1Nt9aLtF7zOi0rPqlzUGS8i69Lsk0coapeabTC1+dI47nC0ZSXUjA8XzfE9j163RxSA7yvC0BVUMaYGa/EWuZBKXAVs37NY33VcXYHTyZrIoqsUh7WEvssj9H2fyWTKydERgVj29ja5fW2HfjfGrwuXKPFcZD7P3LGho6dqXVEWJaPRiOPjEypdsbu7x/buDnmpuffwkLcf7GO0pqzKRb6SXikr2xgknicEvo8NDIHn4SmwViHi0Wp38MOILE0x5Fg/wepqSXVj9V3X86YSijxjdHaKrh1wGvA9n95ggyBugXh1NGbF8LdNL1taUI1zQanGmXn5fzfbGevK3oOlncR0Owm+L2itKauCdD7j7OSEs9MzEGFr05V9j+NoqdCLoqoMVVW5Ij/znDQrXG51K2Fra4tuv08YxYjyFmkpbl2wlPl0zPj0iPPTM5QX0dtOCKMY/BCrnMKpFlhnV27zckddvpumX1rjIphGnL5iqhJNSVWklOWcd6/YS99WBvqlXM1VI8teOOYSqtiLrV5wca0YpWqlLVkc6gy45fflpazuaVf3b1RkK5fu5p0X9XjbuLFI7UIfXbkJmnBBkw/eUHeXBdBckZMm4ifisK9IU/Jsxsagz5VrV9nc3sYLAjcGJhMEwbRbgCXPMkQJvUGfze0ter0eURSC1czncyaznNOzIVobPOXTSmICTyG6JJuOmE+G2Kp0TqpWTNhqESehq+zrecxmGQ/uP0Bby+0nnqS/senWc9UVb751n3/6T3+Yosh5/j3Pcf3GVZJ2m5dfe4Oz4SfwPM/hXVFirCu80tBhfd+tudrptN3SOUHgmAEYAuXWFcRAVuQ8eHCf6WxO78ptbrwQOQNI1RTw1Xcsgq88dFYwG55iygJPFEYp/LhFb2MTL4zQ1lFaZKWHuMrPikXOmptM8DyfKElQyqfJznM518viOLpyOZiB79PpdIjCEMExSaqqIpvPGZ+fM5vNqCqNUh7dwQatTodur08QxVhRFGXlKpgaS1m5YmqtOKC32eXG1R12N7uEnrtPYyrKIifNZ8ynI2ajc+aTCWWREyauEKioAOXH2KDGPNTCUFw6cO3C4bdKX7JQV7T28MXH9zQiBqMLTJVRplPS6Zgs/9cwFj2WFT1X4mMsy7+sWvONsVbjjK0TX2vaqXsZdYZYTS8AVyZ04RE0zaB0yfmyWkWhvm1HkxAuwIcsZlf0Alia/eomrCy8Dw2tVuMuQ5b9CV2Hsh0hVrnqrAuF2nGbLQJGFkaxbcCDRV9vrqAuh+/OHXhCpDTD/fuoMOT2zZv0Oh0iUZRHDymsYvepJ7hx7Rp6UjA9P+Phg2Om7Vuc7T/Ar0Zs9RJMvANbG9y+s0XcbuObnOH5Kabf5mrP8OZrb9DpdxkNJ7zx9l3U1acJBKRISY/vcvDgDY5HZ+zc2eX6zjbXNzw22wnlZMhsknFwcM7Lb9zjbpryPc8/RzGdMDk55vz4lIP9I964/4AP/9Jv4cXnnkJP5tx85g7f+W3fxD//lx+n7QdMBXrdDuiCClOXjvadUogrV1ylGaWp6O7uoM59snROHIZ02j2KyjDOSuaTMS+/8TZXP9J3Clmdp3Vh+q8/mGzG6f03MOL480aX5EbT2blGzRPBOQOWI6gps25h4WxwE5aH3+qwd+Maxrf4gcuhbLUiQsCaCrThaP+QuN/i5q0r9OI25Twnn0+ZD884PjknLTN0aNm7fYW9rU1aUYjvJ6gK8jRjPk8ppUQCS788xpxFlNmEwU6HGzc32O51kdLgeQFeCXk6B6Mp84LpeMokTym15d7nHjJvt7l1c8ZOp0sxTtGmQim/7pdmMY5WJ/am/3qAJ5ZQGSKxeAJh5EByNpqibekoNlVFNpszykePg42vbGl0BrigMFxWVi4qSEsLqjlOWMWoCy62ZoeFKbC0C4SLvbs5NyvKyfK3d5iB9RdH/Vq51tXTX1aqLpzusjK2em/N/TVpAzXu1170ZRW2GvnERWeM1sRJTKsd4vkBnoFWp0fkW4p5TFFk6KpEz1KHteKhPB+Uh7FCpaHUlkoLlVZoI5Ta5RE26y6W2q3lCK5EvWAp8pyzs1Pm6YytzR63r26ztdnFRTsdlbWoStJ5yvHJGX4QLJ6+1k45Oz4+ZjSesLu3y87eLt1Oh7jdYzhNKX/0JxhNplRFCeLylVxuYZP7Zwn8JnLpls6IopAgCPB8IYoSuv0Byo/JSkOlXSVZu+J0WL4Wl6lo65zBbD5hPh07KqV1RrMKE9r9LVQQoaVZgqUpMrf6dlcMRpz33y20bVCqoZ/W643h5jij3dIhgafoJDFxGIDR5GXGaDTi9OSY2XRCFLfY3t6m2+8TxwlKhKLIKcsCXeXkeUGWFuS5o6h5ntBut+h2uvR6HbfEUk2J1VrXtNOUyeiM44N9RifHWAP9rR5R4opVaPFZoRktlaZL42J1hDYORiWu3yrBVUPFYHWJ0SlVPmY2PKEo35352StfLm668Fuj4dlF37nwuZmLxbIsN9toiLUZtwqksux9ptYtm3Sdhi120RRdUvsbKv0Sey86BpY62vL2pP7l0ZHFi3cvj/i0us+C5YZLiUJcnrQLLmis1mAqfCUEnnN2lWVJUeZEcUSv12Vza5MwjiiKivPTMw4PDwmCgH6/h1KKSlcEvsfmxgZ+4CPiURQlReHGzjR1hloQBPhGSOIYX/lYrZmNR8zGIwRLu91isDGg1W7hhy6vOE1zXvncm7z8ymu8+N4X6W1sgSiyLGN8cs5bb75Fr9fl+ec/yPPPP4vv+yStNt/8jV/PbDbn6PiMIs/RxmnGxli3ZIa1BKFPt9um025hsfR6XbcIvQhh4BNFEb7nc3x6xvHRCbOZq37tYetiaR5NTkcz5yiEQCz5bMz0/BhlKxBLJYq41aHd23Dr35p6Bm1gznXI5RwoFx21fhgijlaC4IxEa+v1ETFU2i2P0O206HWd8VtVblmfbDZldH7GbDIBUXS6XVqdLq1Wh6TVQnzHijHakBclRZ5RGiGvHONxc9Ble9Cl301QYqncEglUZUaRz5jPJ8wnY9LphDJLXbqRsYjywQuxXoLxWoiKELx6uC01gcYJxsJuY/FcBLduZOC5ZaMwJabMKGZDpudHTCdjt6zfY+SxxqJvV4euY2Iv/N4ra7cJdTVKaYarWeaq2Dq0b11BEgFH67MsFJeGM79UhWoDTczFBOJ6n1rtX1BOmyI0i+IR9TeDASONHYoxS/Vs1X8lgFdzshd3u7BTHS2pUQIWixxTF8GRywVDcL8Ji7M0ni+3cKkht4annnsP7ajNfF5RGEcr6l3f5caNW5h5zun+PkeHh7zy1jHc3CY/G6HzU87CgMAP0VoIR3OiQKGN4fjgmJPxlJc+/H5e/MD7aH/+TT7xmdc5Oh9xdScnG52QG8PR/dcwArs3bpAMOuxsbdKPDTormExS9vePeflzd/nUmw8ZPPcUWT4nPxtxun/IwckpKgp45v3v4ckXXyS0llk6R8UBv+o3fw9Xdrb5sY9/nmNtqfICawowlrKqXFEK8Rj0e0RVRVbkdDoxeAH9QZ/KFGz0e2z0NhC/Q/5TP8nZ0Qn9m7eoGocDyyjwyvhHgHI+xVQZ1paIFaw15F7IYHMPz7iyzCLLHJwGWFaKTdJMHT6WKAgYj+fYwOB7MJuMCMMATym63Q62KPB7Le5cv8HVK3tQaE4fHjGzcxIxWJ0hqqK/0WbvyhW22wPKLMOUQlmWzEczzodjMms5m055cjfGpIf0+x2i9hV2+wmhWOz/n7v/6rUlS9f0sGeM8BHTLbt97nSVlZXlz+nj2pDdQpNQkwQFSLoT9If0D3TPO13oSoDQEEFKICV183T3OWWyKqvSbL/89OGH0cWIiDnX2jvzNEQIUGUAe6+15gwfI77xmfd737ZFoSmKLcq2tNuWxWLFtqq4ni+wUiIiwcnxhEwYaAo8H/xgQuPFwzjvp/1+7PYGxBMWX7prTmxLTI2HAqOcLtyqoKHG2AYpwHhmH9H1vVn6ZNi3NLV0K935Try1wjs3eyuwvLvd8Pd3HPutEHUfItsN6m/dfi9AeGu1vQ/+gcvfv4a+Kj1MSJ3TbbEdvX3Xr2gNURQRhEHnlXtIPwA/xA8imqZmsy5Yb7Y0rUJZQRBE+B280AoPZT0aJaiVQFvnWEgh8DzP9Xoop4GojUEZTVEWaNWwWi6xRnN0OOX0eEoUeLSqcYgWpSnzivlixfn5FbODGeBaDDzhYDtpmjKeTLj/8CEHhweEQUicjfln//ivMcbw//6f/j1l0zgHqgvQrOj61rtklKXLwjfN4Fj5fsjR0SkHx6dsS0U9X6HaFt+4Bg7hy0EOQO5F+g6ko8k3G6oy7+Ylg8UjSDLi0cTRyvdz8T40SewH+V0qo0f+dD0+UsrunsqhJ4vue6wlCnyyJCLwJUq1bDYbbq6vKIqc8XjM0fEJ48kUzw/dvNkxMOu2oSi2lGWFNhAGMXGSdZInkjAIu7nXjRn3s6Uuc9bLG67O37BeLvGlx3h6yOTwHkE6QQt/0HKUe2N4GO1Dlbf7Srix6WEGNlRHcCG6xLhCqAJdLtnMz9gs57dZWL43i73141bGyd79cN8J/5Ygcz8gvLvObuN3ZrgGsqV91Ne3HOPtM9vt7jYMfn+9vb29Kwr81mVnb3vtxf6IAw1UF8AK69pDBK4PLPA8BK7HV2tFmqUkSYwQgnyz5fz8ghfPX7DdbBhPJrRN3VXWHKmM9J0kRVHVNE1DFEVEHYw7TmLHhmoM41GCFNAUOdvlnKbMmUYeDx4ccXxyQBAFWCHY5BVffvWM/+nvPufyZsEHnxjqVlFUFav1ltUmJx1l/PVf/SUPHtwnCiNA4EWSn//8Jwgp+e/++/+B+XxJ4Hto36euG7BONieJYybjEXESo7UmSVL6xF0Sx4xHGePxhGQ0YZNX1HXNYrmmrmuC3ocWfc3WQeJdsGio13PKzdJxiUiJkCHZ7IQwm3Zv8O1q2tuzoIs9jLWuikqfHOv9QbeF0YrWgtWGKAyYjMfEUYjRClUrqjIn365pm5o0S8nGU9LRhDCK8bu+UwNYpR37/3bDdrVG+BFIn3HS93RGgEVr15an25Km3FKVG8rC9aM2TYsygAwQYYIMU/ATjBdhRIgQPi59uEub7DPdD/egYwIVgC+F+ycA3aLqDU0+p1heUW4WGK2RQfJdL8R3B4t9EziDU2IZ1FphV/kb/mZvXQbqKGG7iaiTvRiwoX322/QKjQLPY5dN6rgqe7ih6CbCPrb0xG4y7SfIPkAzQ0+hu5F9s35f/5Ri16fmtC3FfgGz+9FlHfaA79b0sfveremyGf2x9p0vKRzBWk9JboXg/nvvM8ksqjEUZYOqtiTHYyajCL3dsnx9xtmbcz7/+jXXLTwslthyifVDto0mzSx+U3Fz9Zrrbc2qbplOxyRxwsF0wte//j0vzy+YHUw5bCU/+OVfIqWHrjZY2zIajcgN/PQnn3IYC3RTsb5e8fz5a371u695tdrw3odPOXrvIevrG/KXZ2zqio9+/hOmYcx8dc3p0TFtXrDarkmPDgmimF/+o5/z5Vdn/O6ZIkp80jQjX25ACNJxymw6YZJm2E6H0RqBsQYlYHp4yMnpEYEfE0bHaG0IgpjN9Qqt3MQvB5Ntb70o1hi2VxcYXQOW1kBrFIfv/Yg0HiG16QyD7SiS+2qO3f3e79sCbYM1LZPpGC924zaJfaaTCapuqaqCdVmihMX3jomkh2kVQegRFJab9TWMfN67/4hRnJBlE1A4SKdStGWF0k6Xsrjc8vLNa2ZHcD874eRoQjaZkHgWVVdoH4y2lOsVKpBU65xvvnrOy+srJvdnfPLJB/zw0w9odYj1fQKrsU1J0VqYBh2r7142Vrh756oItnuHLKHQxLYmQCMsNHWN5/kINMVyyTpfoaV2tPnT9Dusxp/y8u3ew75pcMb53d/f/Um37oDq6qL0d5j2d/75H7UMfTZ7O7nFWX/3TN8R9P6Dx7wTqLoIZK/nu68CuGO7bK1LFvqe4w51QvUOrmWVQjUNxTZnfrXg6npB1Sqs8InihDDN8MMEvIDWSDaFYlMpjPWI45QsjUkiQSh64gyXjNRaURY5ypPUVUEc+RzNnG310OhW01Q1xbZgvc5ZLDed7lgCWDzPIwCyNCUMI+IkYTyZOJkIT+IJj/v3TvjlL37O6/NLXp+fU9U1bQu2SzaaLkkqpUCrlvV6Q1072CU4rdl79+/z4Mn7vDq/5uJmRdO0yMY5l7KDWw26mnvzsFaKIt+imwphTRfLCJJkRJqNnNNprdMWlrsHay2Dk9v/k1i0UWjVdnqVrqrrGE53idyemCQMfaI4QAiom5a8KGmahul0xsnJCUk6wgtCPOl386/GGktTNyxubtis18RpxvG9KXE2xfNCjDFdBl2787AKbRT5dsn86pL5zTVt25KNxkwPThlNTgnSGcZLaLXFGIUUHsI3w3W5V+JuRsYOc0gvneGhHfO6MEjTQieSXS7OqdY3eMI4qOv3bPnWStv+H0OstAssvzXHdXvv3XfdjGOHlNKQz3pnbmxYT9z6DAbX6lZM+67TpU+NfEscuzvO2+du33Xc/t0RPa9GR2oo9n7voYDWILGdBp9wQUbbYi1EUYwfhJRVxatXb3j2zXO2my1xHAFQllVHiOOO1yrNNi/JiwKE4N79U6IkJfADIjzCwCMyknEaE3qGptxSrhcIo7h3fMp7jx+QpjEGy2ZT8NXXL/jqqxcobTg9PkZKwWq1wVhN3TRMJhOy0Yg0TYnj2L3/0mn4TeOIn//0xzx//oI8z12PoBAYbZBCEoYhaZo4Le2mQSlN2yqMcb6V53t4QcBkNkMGEc9fvqEor7iZL9hst2T3DEK4AE4MMUYX9OmW7fKGKt+4QMXz8OOM0fE9ZJw5yaTeN+/iiQHzOOQuev8dtDLotnVFH/YqcbbX6Xas3UkYkmWJ01psG+qqpCpyBDCdzciyMWGa4QURUsgu0HeBpjGasthyef6G1XrDwfEJ6XhKkIREoTdo99baVfZUm1Pla8oumdYqjRUSLxkRJgnp9IgwnaCCeIDb75LD3Oqh7UewZpck7BEUUrjCgNANqlxTL88p1tc01RZPQpqO8MLv9uu+O1hEsV/xc1G87sOxLnvXATs6YXNhzS55PjjlrkfEE2Yw4j0RQM88JmznxA+klc6y9GhV0XUTO1in+9brBu47F61BuDKz373Atr+53eR3qzeou+kuU+uu2dqO/vgOFMt0AaKjtu8mVUGHLRZdr02fvZB4HkS+o/WJbYvnK/K8ARGhG03bVGSRwDYt+XJNpTRfv3jDVhh+9MPHvPfhE4T/Q9qy5fXZFUW+prECGYSMooZ8seX1esOHn37M/NUbnr16zWd//lMSbXn5+m85Pn3isitNgVAVy82a4/ff5+HpjLCcs1mtef3Nc3731Sv8gxH/1d/8lNTAKso4/+YFjVK8/8OPuXd0QLlYMZpOkUZR5muyowMOZkfQKoxqsEYhPEGYRAjrCH6iKCIZOXFTKwRVU1PXBduipWgVyXhKlKRIo6hrxeGj+4RRhmcsEZrl/Bz95If4XTZFAFJ01DTWJQZUtcXzHew59BOq1ZYHH3+G0GIvdu9gdAO0xSUREC67TJdg0EXJ89//jov5GdY3HBxNkd6I5XJFHMdk4zGT2RQRecwmGbZuyauKuiq4md8wujfl3uk9RnGKj8AzHkK3Lti1mnJbsKlqqlrx4ss3XDRzfu6/h5GQph6ecayDui4xWmCVZb0qKLTi/Nkb1qbksz/7hKPjA+6fnBLokE2uyK1AVzmBH5BmM0rrkiuil6npnaWOIX4IoLEEtESiRugGbTT5qqAuC96cnaFtRdmWTE9nHM0OGY1H32lU/hSX73KE7N6H+6084s6K+77VLchv3wdzZ9/99m/1hPf911229VYtWOw7XmJvJ7vk2+3v7rpYDC2Vt09e3HLknG1/txM1GND9S9s7TJ9ks6pFWI0vQOIaDU1boasSXRbURYGqanwhmU0miCAkiFLCOEUGMUgfbQXbSrEuVuS5g/Uo67m+mDDobLrAD3yiKEBKaNsGo8BoxXiUcTibOOikchPJIHUhXRXA9xySxQlL+wTSvRyRgDh2QaPXkeHYTow39D23H8+dy/40pLXCKFeNK6uaum5pmtYJVePuT5qNmR0csyoUCEnbakTdUBZV58z4bg4R+7fcYnTLdjXHNBWBNQ5V4/mMDo7w05F7XqLXB3wXl2c32XWtIFY1mLZ2XANCIL1eV9gOlUdrQQpJ4PsIHLyubRpAcHBwwOHhIdlojBAd0Yx0fTZaO6hVvs05e/2Gxc01B0fHHB7dJ4pChAzR2jg2R+UkeeqiYrtecHN9yXazQXqS03v3ODh+QBBPkf4ILUJMJ0JupUIQ9gNvN9J3TsjelbsgUaKRViNQeLR4tgZdosoV9fqaqlgTBD5plhHE351t/9NcdgmE26FT//v+2Nl9dysgw41jwd197B9D8Pb+97d7+7zeNV6F3QeZ9ru9u26PtPi2qx3W6H7bP8e3s2W7vwQDio53Xamll5QR2I7Z00G3jXbJVd93khTzmwVvXp9R1w2Hx0dMpxP8IHSJFQRKa5qmoWocy2hdt0jfwyIRnpNLkBJ83yNEMhlnhL7spLNy0iTm5N4pSZqgjaFpK96cnXNxccnh0QE/+OQHSE8ShQFVXRGEPqPxiCwbO2ir7+EHvqtuSleoEdIJ0ztf3BBGET3MPwwDZ3fjiKIonE5uq6iqxvFuWUsQBlR1g7aCdDRmPB6xmM8piy3Fdu3kuO48M2tddGOUZrO4RjcNfvec/DBhPDvG812iCaPp9RSHlEGfeOgCSdvZbaNb2qbEqgZhNZ50vpFDGDjyxdCTxLEL7Fx1WGGNIQpD4jgiSRKCqOu1FJ6zow5HjVEt+WbFi2ff8OUf/4jWxkkBHR4SBp5j7NfKESGpkrbaUJdris2aqqowSMI4Ic5GRGmKHyZ4UYYNYiefYT0sHn1N0SGhdrHZbhKSwziVUhAIQWgtvq7RxZLt9SuK5QWgCeOYJB0Rpxl+EL398uwt301wY033GnXl2+H12U/duNMSXSa7j+L7V7vHBe/MhrsoFwN2fZASPGuHpv7Bxluns2L9XYopgG8NEG+ZPCHwhXXCzm5eHGidvX6yHI7Tp5tuN1fvgvYugy5kF6T2jKsG27NNdk6f7PCOooMHuZcbwsBNaXJ1w+r6Am+UEnkeRb4lizW+VmznK24Wa559+YJKwL/4X/wFSaX47e++oYhTHjx+wgc/+RFUJcXNNd98+SXrm5y61YQSsixlWxT86Jc/5gePHvL6mwu0gqPDYzbXN2wuX/Lm1QvsKOa9Jyeo5YJaF2yXa84ul3zwj37CL3/8KeF8ye8+/yP18RhbNxzcu8d0NKHaFGy2a+LjQ5qiRCYps4MDaBT54obzF6+ZFw1IiWclqm7JopgyKGnrxmU6pKDeFtxsVhSlomoVwSgjDXykFahGcfjwA56895Tnf/z35JstxWqBFeAZXHW6G0z9KPSNZnH2nNa0WCtpq4oGQTSZurbY7n3uH3OXf3AQTNtDkWQH87LopiE7HHMcnOAHFq0bitWGSgo2OHFtLw45undImoWUbYVVDXm1ZvLkiPcePcJvXPIgCDxHt6w1VVVRVIqybdBGcPbyimdn59jTgKqxbGLBIaCqkjqQtKqlWlW8+OIlb8o12VGGmPr84sc/54N77yFax7jWtC2t9bDSA1XhSUlrI5TpBb5tBweXOM4lO7xnAou0moAaoUpUU4LQ1GXO5fk5W7UhzXwePn7IyYMHzNIZwvxHKe78SS3f2sYjdh8NkOXhg711dxHYsJl96+/dNkLsusDfdnv2nZm9Y8He5LAjdhgCxR79MHzXHXk4eH+aO/u539PD3s/dpd11wOze9Yu9zfZdSxcAWNUgjGOy1I1C2wZdb2m2K9pig6orPCGYTkYceCFBn930ok6zD7SBoGyYr3OX5VUQhpEjtQGXBBEO/hVFAX4HkdRGY4wmS2JHUiAEFs/1TUof3/OJgogoCMjzHKyhqkpXFRTOpnuejxf4CM8bssdYQ9u0LBdLlqs1baPoxesdFNVV9gzaOX/KZdlNJ2jtCYemsEAQRGTZBD+I0WZJVdeUZdlRZveZbzEEgB4ebVNRrheYpsaaFovAiwNGsyPwwz0JgreTBLvn5xi7pTBODsMoB7/1ZHcdnfCJtV3rhHRVVd/J9jRti7GWLE1Jk4AsyxAywIqgqxK4azStwWjFer3i8vycm6tr6lrx4MmHTI8Nnt854kZgraLYrJlfO+ZI1TSkozHH9x5weHwPLx6jbUhrfJSBVhu06WyZ3eNLGMbm3XeqI+CzDoIqrULaFmFrrC7R+YJ6fU1TbvB8Fyhmo3GnQfk9W/YNEXfDQjuYjWF19lNG+77fnhnYL1cOh7htWHZm7O2g8O4nt8PWO+GcvfVjMG/75zhckb372bcvt4Nj9/vuXux5ht2xBo0+o1xizJgBabFjA/Vo25bVYsnZ6zdYa3j0+BEHR4d4QbCrwHW/V1VFsFzStC1V3TjiLN0FQ0IihMb3PEZhxGyUEmBoihzd1EynE0bjERbHDr3JS/K8YDqd8OTJEw4ODtlscy6vLqnqmjiN8X3P6fo1Bs/zCIMA33d+gzbu/d9sN1ycX1JWFV7guwDE94iiAM/zCXyP1WpNVTcobVBK4wkP3xPoJMYmLoiO45gsyxyUtW3JN2t374b7LIb5zBMg2opys0RgBwm6JEmJRx0EtQvQd30xYvfM9tCAANZo2tol9K1u6TXcPSG6xKEjWPR9dz09YlEKSRSGeNIRsXlB6KqJ3YjU2mKNRmLJVwu++forvvjij1xeXJJlI4zWHbIGsBqtLK2uacs19XZJuV1SFAV+GDGazZgcnZKMJkg/QBmDth7aCrQBK12Lw7tcld370Y9559f6UuBj8NoKnd+QX78kn18gpWUyOyQZTwjjBK9npf2O5T9OZ5Gujrj3krrz6R6O64LH4YE77Zk+uu3eMWPdRLljKtthbt0z7nULO8NvrYuiO4NjsEN1ELELXd9pAizDxD0ElsJitUFhXTAjvb1bzTDARBcY9pVPhAs2JF0fhwBET5UunPPdacn0hsJ0A1Fi8D1B5IEvBIEnWFxf8uXXX/OTv/xLaC1p4pGEIdV1w+LiipvVijqEf/kv/wVpo7nMV3z6l79E2IA3Z9e8+uol8TjG830+/ORjjk9O+df/+r+lFj7n53PSj5/y0cP7nL8+47rSVMIjm51QvnzOyy9/RXgw5vDBIw7jkFCUqM2WL774kqNPH/HLn36KLBten13y1atrvrnY8vGPPuLje6fQKlRV8ofPf8fjn/2U2ZMnHEwPoFYUeU6Tt7x+fkbdUQRVeUGcBMRRRl4UKFWTjhJ8bXl1dcMWRb4pqNuWj6Y/ZLtYk9uW4PAx6XiGNJKqViQzl+W3Wjt5EtvDjPvnBaKuKZfnzqBgEJ7H7MknRKPjAYbQOxJOwNsJuJjOV/EEIBw/lq8t18+fMV+cE6US6VkOjk7I0tRRL8cRie+jtGa1WTDOUmRdUaiSw4f3HOxA+lirwDRYpbDKUm5LqqpCWU0cJXz1q2f89vMvudgs+OxnPyEwIUZECGOp84J5XVDlBUpYgmlEcbEgOZY8+fAxpwcHBDJEW41pNVXRUKqEcDIiLBsW82u8B/cRnhwybi6hYbCd/IyHdWPXgG8NWhXUbUGxWWF8g3BKjxw+OOLhwweMgowwiQnDFJp/aNr9E1y+7ZLuxkq87X67z+44O9a+td7bDldvC7/lXMSdz95x4D5wE+LOZt9yPXfjwneu2DtH72xg7O1p97NDbSD63hG3T6GVY+tUNbYtaZoS1Za0+QqVb6Ctu2yuhxeE+EGIF4ZOT0o6TSkhBMIYwrBj/gt8lNV4vt/11dER6zjnZZwlpInLOLeNC7y8yBvsufAEUvoIC4HvEfo+vuexWm+YL1csbuYcHBzghUEHu4wI/QCvq6gZY9DaUNcNi+WKuq5QWg8wOb+jirfW6TNqpVzVwLiqpee5oEsKiVYKz/MZjcaEQYA1BlXVVHmxk2UaKsx0fVOaqsip8i2ig3gaIQjihHQ8QXr+0L9v94N5u+tVds9VdAREhqYqHZTTc/TxnrdjBnTIGsvQMW7ddWAh8AMCTxLHPl4HjzL0BHQW3da0Vc5mtWQ1n7PZbN3zWC1ZL25oH5VIP8BojW5rio3Tl725vsbzJMf3H3F0ep/x7Ag/TFFGoltHfKOUQlvhenekQHouw98z995uJ7kd6AirkbRI3SBMidEltlnTFiuMblxmP0mIszF+lNziMfh+LfbtX8WtH+80Q+/6/S20BTsbtJ/XF9/ys//9bSKwvf/FW/H/O7Z5+1hvW7C9i7TfdmW7Y94+wq23aPfPOmIkdOveWSk6P8URPK3mjsymbRX3Hzzk4OgI6fvUTYsQjk00iEKwTsLHGENZNZRVQ900XYuU84OMccFJlkZkWYrvC4p8jVYN0+MjfF9ijKZumw4iPunI+TLKquLLr77h2fPn/PQnn3F0dIi1UJblHlw2GCClVVlS1Q2v37xmuV671JVwToOQjuU5ThMEsNlsqWrV3XOB51mU0mjj4PhhFDGeTpkeHCDDmNZY1usNSulum52twwLGUFc5TdebbXC+Wphk+EnqIJnd07C6J+u7m3DoJkXrpH/ausA0Zef7OH/c95zN7hlRZf+vCyKl5wG9bewg+h3yxKFRDFYrinzD82++5us/fsnV5RVV3TCaeIRxgvQ7eZ6OQKsuNqwXV5TrBUo1hFHM0b0HTE8eEI8PkEHk2pWqCqMtTkGqK6Z1AZ1rK7C9agvC9dh1bkJv751koVRb2tVryqtnVKtLklAyOzommx7ihQnS94fg97uWf1BnUXQ3XdvdyzIYke7pDvGY2AEM+l6wXdbJ3paqsHtBp+gzfz25OsOR7f7foj+b3SQIe9knsfOphkxwt57raZQuYyF3+95l5u0eWmyvp00K/G7fQ7eicJTo+4OzZ/MC25GpOPhr6EMgncC2MFDmJcKT6NYFEYFtKC/eMD97RV7VyHHMX/3yM47SCcvVNedXOW/Ofs+j997j5L0nJJ7P6vqG5fyGN9sN69WGX/z137CtKg7uHTNLU7aX1/zdv/8PBPc/ZvzwfQLfZ5I4x2cSH3F4OGEUSi7/+JLWh8/+yc/48OlHVDcrLl+dc7GuOVtu+fsvfouOQv7yz35JXW7Yzq+ppMeTp0+ZjSaYsqbcbLm8uOLq8ppF1dBo1/OWjkfEgSDfFGSTMZk3Io0izt5csahqwsRBlmaTKfOXbzDjMUoX/PW//N+Rzk7xZEBT1UyF5OXnf89P/uo/J5Q7oeq+ImKxiLamqQpa2aKx1HXFeDTDEzFCe92YMrS70emw9zjnx0qQtlM0sy6IXC43NFcroiRisVgyGY8YZSlZHDlhbE+QjSM28zV+KDl58IAkDBlFKaKpMRJ0a2nrgqau2C42rOuaoqj54+eveL24Ym1KhAfKKLbKEHshplUUecE237JYLlnVJZPZiD/7pz9ldjBlPDrAMwFt1WCVpFhvOb+4Qd37gMBa2rpkdnKPNh6T72WhBMKxuNH3/DrnTwiD1AXoEmMajK6pqhIpYfb4mHsPTxkFE0yj8YyHbjTye8j68K3Ohdh9923bvO393HFh7mTdb/U1v2PZJ1YeMq53PLneEvZ/79br99GP9G/PqL8dON651t6h2j/dW75WZ3Cl2LsFpus9MXgYfAmB55IwGIUvLCLwEMKxlu7HpEq7NIYTIPYwQqI7xr0oChmPUvxGMxlnZHFE5PvODguP6TgjOJhwcnRAHPqURUvbNhBGTnpDusyQoww3XT+lxvMgiQKMajh79YooDJgeHjKZjgdtMaTsktduHlFK0bTN4C32/fJ9EGvLygWLWrvb1sOUjHE6fsZQ1RXGaNIkIQpd9UqphqLYgNWIoVO/d7wdrLfarmmrYm+oeSTZiHQ8QkoQxkHOje1I5/pH18OxujnKQWpdCwTWEgQ+nu8jpTckWF2izaAtA2kY9JBUjzDsrncYIE4Ls20a1ssbLl6/ZD6/cX2HTevOQSuK7ZrN6galDVppinzD8vqK9XJJkmXce/CIo9OHROkIz4+wwofWoE3jmFlxATeeQHquOWFgotm/5t1b4uD2VncVxQZpKlAlqBzbFEhpCUYjwjglSjI8P3IO42216e/FMti6PtM0pHjeXu8uGPX28o7orf/829qD7q761v7eEaqKO0faGcZbn+0IysTtXdzauvt96G+7fSaD/yh2nqZ1q3ffyQFJJoWzddJqrK6xqsZKhcWRO9Z1yXq1ZrPdkGYjHh4dk00mIAVV7chrhPSIIg8pHKmV9HzCMCJJU9IsRXgeSTpycGgpEXWLFILRaIQncdDKusSTkCSRS5QZJ/3jScF06qrjTdvw5uyKv//1bzk/v+Dk9JSPPv4Q07asN1viKHESFzj71NY1y+WCPC9YL5dd4CQdnNO69jDP84mimLpuOjIejfS8LtFkadrWJXa0QRuD53tk4xFBEFColvX8mrYq6UME2/km7m9DvllTV5VL9guX6EszB5k0AqwxiJ58cv/pWjpyr25gWINWirauMG2v9y0I/E5nsUNU9LwlUriA0e8I1GT3wJ25d8ypptPWNVpTbDa8ePYNL549o9jmCOvuTZwmREnSyewpbKsotytW80uqYo0UgtnJfY5P7zM5OsWPM6z0UNrQti1aKbQWHVpE4iSlXN+UdZk8FzxKcftd7phl0QrUinb1gubqK3R+Q5IkHJ0ckU5cUOqgzS4MvN1u9/byncGi7rK2oj9ZBJ2+RReBd86IsA6OOWzZG2k7ZJ33g8O+ukPnLNzKEO05XrIPBkR/9N3FfJsLdFutZbcI4RjPrNwZxj3W2aE3w8H0xO19iP54Yti7oA+ILc6T6ErTtifMcUGiR9dXh9NuFEHEX/z1X3eC7Q1ClbRNxaauiQ8n/OizHyCqlmK1ZrkuWGv44IP3CcKQV189xwKTyYhsNmU6TVllMWcvXnB9OSedjmgKyVJoPvvZT/jmxZwPf/BjrGrxTM0ojZg3FaoqefmHc0y14sNPP+BkNqNeLrg6v+TXv/+KJ//4v0T9978mjWPWVwtuzi9ZFTk38xve/8mPmCZjmryg2q65urzi+Ys3+HHKe08f8dsXZxAGZFmCbiqcTpcl8gKuLuY8f/2GyfEMiSHwPVqt2dYlSRqhihWzoxOEF3D/yfv4/05im4Zqu8Ri0bYP5uxQjveFx+rqHOkpAiQGg4x80sP7eCJC217iRHbJD7v3PLu5xbimYCvAlBXaVDz98DFx8h5RFBCFPnEUEvo+dVXQlAXFdo0UAXackqUnBFY6QijVYqqSxrQYZajLgrIqscDVyyv++OINl+s106MxsTjglVJIA+vVhuywYV23rOdrzm4u2bYF2cmED374hLEfE2djMj+lqWp006AaS90qGuvhpxO0MmRJhLKS2vrc6vFwb5KD42qLFQYPAdoilaEpSnS1ptyu2ZQrDu4fcTCbEQcZvgzQ0mKaBkPjqJy/d8vbTtGQmextjeizd3soh72v+2XXQ8Gwz7c7ftjZdvasSu/L4PRce4bRt52jbq99lmwv6tqZ3B7oyt73fSCwd513f+9m71tzRx8Y2t5x2vPgTJ8E7O2qqzIGnkcUxsSBItQCEUhE6GOaBKtqRwKhWqfdZQzaKIwWDqTiBU4+w7heGU8K4jjACwJGWUgc+/i+xHPZP7LMMfLNJplzLHCkE57nJn7bBUdWKVSr0E2LbmuausYoBVpzfXmJ1ZpHT98jyzI8P8DKrkdkr5feYp0cUBjg1TV0bKhBGBD4PluZo62DTQkhhni7l4gy1lCUJUVVOgkI3+sCPEtZFmit8LE7zTZEF4RV5NsVbVO73kkrEV5AMp7iJ6OOrsWxiQrRC+aIXZW7TyB085ZqmyEx5AcBfuAEqoWQwzi3VneZa0eF70uXjQ+69frqo0ChjWW5XPLm1SvO37xks1o4RlijGWUJvoRslOH7PmWR0ypFUzesl0vKsmQ0nfLwyVOOTx8SRAm9arPSPRFP4xjNewenk1ihk9sYZulb717nY1iD7HoUpakRpgJTI6xCBj5BOCIIQ/woJujZXK3F6O92oP4Ul32ncD+0fsea3LWIu+V2oLYL7fp5tbeRO79p30N8l4/mPn/3N9+dXuu9zX/4WX33PnZHux1e7s0DwlXXpLDuJz0U1SWfMA4Crxsn2K6UYjydMZkdko6nWAH5dsviZkFRlhydnBBEjn3UGsforDtWZOl5JGlGNh4TRDHKOA8mCHyODqeEvsXUOW1dEgQ+cRSBsSjrUuFh6OSKjDHkec5ytaJuauq25er6htVqTeD71HXL4eExSZo6iLwyNK3TT62rGmM0URTiex6Ncu95awzS9wnCmDyvqKoGrS1BnySwoJSz73VTs92smU7GDgYuDEZpiu3G2V56uqCev8SR/Gw6rUHHayIQfkiUzRB+grESrAJjd0+rmyNtH2jsU93rFt1VFiXaJTF9j8CTLhDuYoxe7MhJCAm8LnnmbKFx/YZGOeZtpSnygpfPn/H82Qta1TIaj8HzKcqKcZbhexKjGpqqZbtaslnNsUYxnkw5PDpmdnyPZDRB+CEGR9DW1hVNVaGUwoigq6pKLJ4LGPtoyO7Nt91d7BN90ihEvUFtL2gXb6DeMhqPGB+dMJrOkL7TtwTZVT0dAua7lu8muBFicDa8PvBjRxSzI6vZvV69nMXw/Ezf3ze8h8656B+mcA/ICnDKFr33ZHfSPbav2vU73jVwWrszfkY6DPK7AkXo58p+MNuh4jjcoj47tWdCxfBL73jvOVtdBmOwlra/F26Fvho53A/V8OTxAZ5e0Who2g3F8pr1es7odMIPf/gZUlmKYstqveVmVVKbgNW24Ogw4uTeCdYa2qpANYpWK/w4JDs45nEUEwUe49mE+7Mxy6s1VaN58PRDTFNjqoLl/Iq10cSR4sG9hPc//ZRQ+FTbhps3l7y5nPOHl294GEaMCAjjmOl4xPmbC9R6yeHj+3z00cfU6xXr+Q02FGTHB/zy4SMoFV/83e8IuhJ+VVTOuSkq12/oebx6/YZkkrmmZN8957quSZPQOUzBmL/9v/2fOX/8AV98/RsKa0i05mSU4ffZD8DQwQCsJfIkr159gxEuS+1JD2EFSTbrtumddIvPfuV6NzH1up0GgWgV66sbSrPCLw3TyZhiawecfRyHeMKSTTLiUDGdjpjEEdJqfOGh6oamrMibElU1LOYL1kXJ/GLB+WKByuAv/vwXHMcHvPn9K+bLLZMsJgkiivmSttFc3VxjEo/HT5/w4PEDHp08QBUtQRghDVilqcqSzSpnoyF5/AEmPkRWG2dkgrhztLoptMui9nAG914KNALP4FjM8hxtSrzU59GDp8xGU6QVBF5H0ywkShuapsXK9i1b8Se/3DJQw4ffsk7vDO2tP5gNO/Qx7+9lR076jqDU7hAUXTwxrGm+Jdu3b2NvzZXdsXpymgHxYO071x2M7J39vQWi3Suw2L1V6fKHveHr5wJpHcLC93x8G+BJRyggJeD76MZHtzVYgRau77ZWNUYa8K3rU5dOQ09bd0GBL/ECjyTyCQJv6EcXAsLAJ4kjwsB3FOkdrXuaJIRBiBUGraEqKsqipMwLmtJBwzfbnLpuqdsKow0Hx0cdeUMIwnFniv7ZSK+jcHfSHTAUDrtMe4SU8vYt7SAr7r65oLBtW4qiQAbxzhGxuAqcMR0Kpxs0XRbZqpZ8vaKpW4R21Eee9EnGE/woQd0aHztnok9RWLqsuRBY09BWOU1VIoWDlPm+j+d5DO5XHywJiMKILIlJonDo6fGlwBOOkbQstlxeXvHqpasmWqMZj0eMRimelBwdH5DnOVEUM55N0FpRrArKokArzdHJKQ8fPWV6dEoYp85+9XO7blFtQ9M2COEjRQjS6/TZ+taQXUKmH9dCdOGytQihELZF2tZVFm0LKKQnCLwIP/DxggAhXCVZ4NpWtNq/q9+TZai+3g74dgERO+dn/7Nv3d+en7Mf1e3KRPsr7keWwwZv90UOntQ7FvHO391Wu7EuhvzZ7qDDb/vXdvcW3NqvuPVJrycrhePT8HBFiO4PhDYoVVGXBW3rYM3ZeEw6miA8n7oqOT+74NXLl0ymE6eV6AcobbA4bfK6rimKEmUMo/GUOM06+LxCSEGSJYyyGF84jb463xB2PYTSk0jZwfmtpdWaxWLFfL5ASnj08B513TK/WfDr337Bo4f3ePjgAYdHx64nWWuwBmENQRA4vcDGyQ25AMnVuZR2aI8wDKmahrZVWAuBDQZ7hnUQzbYsWM9vGGdpF0BrWmVQ2nSJMtcW5O09SaNqqmKD0S0Cx8jseyFhMnKoE+hQgrLvSdobE/sxiEUY43zgugBVd3JhEl/2gWKfwu161fsgcT+90aEijNIorWgaRZ7nXF1ec3lxRZSm3Ds4IIpC5vMFV1dXpEmM1S3VdsNifs1quSBNY+49eMDJ6alrtwriISnaqpqmLqjKkrZtnQ30fMfGiwDhyI6GmINugBsGws1+7rV1jt5ew/YGX9eMZ1OmswlhNkEE0ZD0cOSHXZz2PydYDD26aGznvuzDvDtXu7uhtr+nw0unO9mMfdvRv3Z9nkkY5wjseiJF1zNBJ/hsByF11wvZ9zQ6aKw2XTW2OwXr2S7u3oMQDBMlwwTkHDS7R+0shkmyrzj2xsFYi7bGNcMKBnyw2V12x25uQXb9nV7npHe9H9Jq/PoSU16B71OWDU1dkOcbJqdH3Ds9wbM+5XbJer1htan48vkFaz8mOjrGGPAjpwgVyJRivaFpFdtiTV7k1Frz8PSQj957zObVBZtGILMp6fgQ0Vao/Ia6KhFxwOxozHvvPyQyNc2q4Op6weuLOd+8uuJiVdI2Dct1ydHTe4zjlG9+/xVBGvOzf/o+sq5pmppkOiVKE3wL9XrN1fkNz16dU3dC3HnVsl0sUMD0YEYQpQgvxBpDVbWk4wTHnOcTxglYiNOM9Zvf8eWbL1iczcnGKUmWIpTqHrDc6Wm5FAM0Dauzr5HSDiVd48Uko5nrEbJuvX4c9tv3NZeBfRk6qLAhzmI8HROmAUkU4UtBGocIbbh8fcZqu+Thh0ccTI6Yjqf4QhJ4YFtN2TSUm5x1tQUDN9crzm6uKdB88lc/4v7hMWkYEWpJ+XLFvZNDJ9Q6GVPlFZumIbs35eTBKZNeXDfMaFWNbluUMjRFRbktuLlcUhycko0e4NkAW23xQx8vGdMIf4BVC2u7sWo7mBoIDcpYPNviqwKlSoIk4ODwgPF4TCIC2rpCGuGqC1pjuglDt99DB2pYekflu/2j/RiRd9jEPu3E8Pdu3Xft9zuP9f/z5e28/X7A6j4Q7/y+/6pnFvY6WydM20H+VCceb/dXhi6YUUpTlDXrbUFjwIvizs5Jx/stJLqzwZ4nCYOIKAwIO6IFC0jjnLcwcNVG2zqYaRT4jLKUIAwQRtFgKaqa5WLFcr6kzLfUTUvdKJqmHYI4KSRBEA7n6AjauoSSteRlxTrPqdvGVcdapyeZJDFJHA+98kL2fXS91yocpFVIjDVsN2sabSmKomNPFE7MWko8Kbug1w5Jg6Zp2K43aK3xcMFiGMYk46nTrqTvH3UBaZ9o2E9/uvnQoFVDVWxRbYXvScJA7FULHfy0F4UOwohJljHOEqLQx5NuHZcFz1ks51xdnLNYrDDW8ODBKePJlDhJ8T2BMYqiyFmt1kjPJ0oTR/7TOhjevQcPePDofUaTA2QQO/1FBFhDW5fUxZZis6FtDUE8dtXErq/VSWB1zmIfBfT5YHon0LheRau6cakdLNX38KSH73lIrws+kY5MQjjmwros/r9+q/7/f7G3f3077zXYrv1lkEi7+zkM7/mAZ7ibhLvt0wP2VoKsX3d3DDH4dvvHv3v0Pfd5/2jvsGzf9fle69T+Kd5pCBd7jrbE9bYJD6wnsMqg2wajFWEYEcUxYewkCaqy4uzNGc+++YayyDk6PnbJMO3QV1oblNaUVUWelyA9stGk01gUoN1pJElGFEd4nqRUrgJ4MBuRxCGB56SK2hbquuHi8oY//PFrqqri0eNHnJwcc32z5vpmwW8+/4LRaMRPf3pCmiYdfNShL8BB04uy4vziim1ROmi9hV5lII5jgjCkKEpnq4TX9T67ylwU+p2dhrYpyddryrJw8E1j8cOQKEnpdQ8HHgpjUG1NkW8xRju/THoEYUSUJE6Ow9pO293emqN6qLzblbO7Qit0W2Haahco+mKP0Gs3cqQUQ9JMSNn5706yqC4LmqqkrmryoqKsarSxPHrylNnREVGSOCZsBKvVCqs1+cqRFa1WS7LxmPeevsfJvXtESQrSx0rZkQK11HVBVWyoa0dyJrwQhMF6AN5g228lckTvv3atdmisVlBt8ZsNvlCMJ2Om44QkTcAPQfRJzm5+sdq1SGj9jjdlt3xnsOh3aRRj7AAddf3tXXZy30hbsEJ3LxHDBNk74rcT5H1HhjPnjoCkn86cI9u3HBr6aohwBALCVUiMcT/pgj7n7AusBiXA65hU3T6Ewzjvrd8zKO2rM/UCscNZWgYtSSvceRiEG6RDVNkt3XoeFl84JlZwgSxYJ3ReL1gsLjk4ftI1/7aMDmfcf3CCaBTF4ob1asniZsXf/vZrLmrJkx/cR1iNVgplAgdz1Ao/8GhLw3a+5Hq54qNf/JhPP/oIvVryq1/9mvD9HxKNZ0g/wlc5ga84ODkiOJryo4+fENsWVdRcvrng69cXPHtzg/YE02nmMs33pjw4miGV4fpmyZPjjzicHZCmGSIbEXgebb6lWK24Obvg7//+D3z9+oyqrWmVwlrnuMVRTDqa8fDJR/zqV79nu14TJAGTIOT4ZIwMAo6ODki6TNholJGGERE+r68u0XULQTSIXZshxNMIKajWG2xb05oagUQ1Cv9oQphOkcJnACjdqoL3SY2OAEaYAapVLm9QugRrafKKepsTJz5SjMnimNMHp8TrEIslnR0SSB9pDLTK9SFYjcayWazZFAVbVXLvg1Nmxwe89/QDUlLy5ZK2zqmqLZPjEb4NWG0VpmlRATz56DH3pocEwifyQ1QPO9U1RlvqukF7gsmD++jkPtafIpQiDH1U1VAJjQm9zlG13Su6I4fqM64Gi9UtqimZnk4ZpSGxL/ERTg7AGqx2cDXVNq6nzFry1ffPgfq2YO3bHI3db3tJrr1v+wTafjZ62OGec3T7uHcD1b4q+K4T29nL/v/9DlX6ZNveuvtXdIvZdf/aLLeKjbvT2n3hgt7dRfTwSvduade70xSIJkfbEm1rhK1ANwjTYNuWtqooNmuWyxXz5Yqy1XhxShI6BkF5qz/Dsf6CIPR9Qj8g9B3ZgLEGLQSB5xH6nksGGY0nLKMsdqgFuXc5AldNCj2UCl1vi+cTBAEIGI9SRuMMPwhcL4jo/DStUarlZrnkq2fPefHyNZttQVU7SQxrDEVekCXJbkYRYrhtQkinkxaFpHGMJz1WqyXl9ZLlcuV6gKTHZDSh772yvWyTdaLRVbGl2G6wRnd9PB5hOiIdz1wAZbtRaPtn0c+/u/OwHlitUMWGertCGNUF2XRtJQJtXV+nUgohJeMsZTYZkcYRvufOrWlbynzD/PI1NzdXGG04PJwxOzoiy0bgh1hwFcEqdzIaSjuYV93QaoPnBRwdH/Ho0VOy8SEGH4sHVmCMRqua7XrB9dUVeVHixSPCZDoEivshguj7s+3w1rEDJu4y7k5XsSOgFx7SEwjpIPtW9+saenbWzeLmHS/fn/YywFBvGZ9desjad323Mwj2zja37A7s3XPe+fdb5wPsa+y9dVx71xy9dYJ7e7Lv2O4d5/6WTb17jXu2eA8Z0L9XdOPIx+A7EWWUbrBWIYQlCEOk5+EHzlco8pyL8wu+/vobFvM54/EYLwgcs3BXIXeVO0VZOuKsUTZiNB7hB0631CWUwPMCosj1Oi+bFt+Dk8MDktj1XhtjqKqaxXzJN9+84NXrN0wmY6I4JIpijo5mrFYrsIbZwQHT2Qzf97t3rsWoBtW2rJZrvvzyG75+9opNXtB2Nlh4gsAPGWUjrDbUVQVd0JxEIXEU4HuS2WzCbDrp4PmSunbBlsAgBYzGTtTeVTJ7X8U6KG9dUOUrjG7BaqT0CdOMOBvheQLRaodQ6156u3v5B5vXR1K6bVFNDUY5UhvpE/gOTr8PQfWkIAp8ojBwwaIQWGNp24Z8vWK1uKGuK9cr6YWMJlOy8YQ0mxCGEa0x5PnWBf9G0zQ16/Ua4UlO7t3nydOnHBzO8ENnG530R4tuW+q6pCo2lMUW1TZ40scLPScBIAWuD0IOY7JHNtmOc6UPGIUxoBs825IEgnGcMYoFcRwi+hYDemkXhdE7SK3jDPj25bubj4Z3rgvQ9jQ9VAdLMt06gp6h1M1KArp+G+6UN7sI/o4RGMyN6KNkhsm2D+i07mUQLNaInccjnOM/9FN2E4fuDVR3Y3XnJe87bra7nm52352m3RnV2w6fa+69mwlzGOfuufZBsMFpMQKerimvz6mMJa8bmrqmMYrj0xOENmyuLinymourFc9fvKFE8v57j1kuV0xmB0SjjEkWkwUh84tznr98hZaSIMsIW83TDz7Ar2t+9/nv2Ap4Mp2wbFuXHdqcM5tNiC2cnhxwEIWY6wVnXz3ni6+f8/uLGz764Ud8fHzAH5/PaRrDn/8X/4yDEP5ff/trTh7e55/983/C43uneFqh6pqiLllcX3F1fs0Xv/uSr8/OKRWopqGpKnQiwYBqaurtit/9+j9QNZWDUSQxgS+RHmRJxGSckiUpoQwwTcvV5RXz9ZqiqhkfTTn5+FM8vH5odXfcZZeWb57jhwJTS4SFstpyeHxMks32YFi2G3OidwWcHelah10wLzDLBdXyDUlsCZMxWRbjC0Gdb2mrglfn52yXW0rR8JO/+DFpkCGsBmGom4qiLtisc67Pr7leLrCR5NGHD/jo6XsEIkLXUKmKNm95+cczFkXB4emMZtlywQ0PPzjm8dExJ7MDxlEGymHkldK0TUPVFGA98qKgMopKKzZUTA7c+9TkG/xQkoxnbEwnGSO6MdvTS4vbQGtjLFEWM5n4RMJRLXsIdN2glaGpG7RxwWJRljSblsur5beajD/VRQzBV3937kR1faTd/9ELq9rhy72d7dmZwfN6V8TXr9+vt1vcVntQxLfDOnqX5lsXu+/I3XXodi/TbQeqN4o7C9f7cYMvd8ufE7d/1QZd55hiBTrHUqFt7QhFdINua+rthvV8yWa1chVFbfCzMelkSpSNkUGI8DwGt0wr6rqhrWuyOMX3pKsGSQ9tXDY0CH18T7heIquIAkEwSohDrwu2OrmKKGR2MCXLUlTb0raaVim0tfi+z3Qy5v7DB3hR0LHNOW3Dpq65vJnzH379OV/88SvOzq8oioq6ad2+jTtHa3GBJ101skvO+L5HlqWMRpmDd7U1r9+8YZ23bLdbrBAkWcbpw4cI30dp1Wn8do9Ea8p8TVPlOMslQPqE4xnxaELvGO360XaJWrokpxACaSymrRwrbbHGs5rAk27e6onejINfWqOJwpDpOCVLY8LAR1hDqxvXYrBeURQ5WZoymc6YHhwSRDHaCpS1aOWYS/Ntwc31nNV6TZplpDLAD2ImsyNO7j1gNDlEyAhhO0kto2mqks1yztXFG1aLG4T0GcejjvlUYq3s+njcPywu/7s3NnvH3kGxneUf3Ejh5E4Qrg9oeAGsBavZrhdcnr2m3G6+6w37E106mzSYJrtLBr0zorN3zcet3dzd87t+pz/M/t/94Ybdi9tmsLOdA8fW/jnYviN7Z13lre3u7ObbzvGW8RO7nbFXvuhOsu9nE4AwrvcuoEWVK/RmDrpECoMMQyfBY53vWxRbLt684fk3z9gWBeNRxsHRAZ7n9FURLUJKR5zVtNS1I8+Kk7iDtTt4aE8Ug7Sko4zJeMyF1cwmGQezFE9CVdcUecFqtWKxdMHW/dMT7j+6z/37J/i+Y3o+PjpgPJ7wyccfODZmbdDKwb3btmK5XPHbz3/Pr3/ze+arDXWjabXrw/Z9iy89rLGs8y1aW8IwREjhSADTGE/CZDxyPcodW3FRVlRNi5CCKEk4vf/IQf1N3+KG81NMiyrXNPkKtOtnR3gkoylJOsZoZ6P6wdD78NZ21UnDoCtttUY3tSMFM4rQ9/AkBD4DBFXS2WjPIwodN4UUEmMsqm3ZbtYsrq8piw1RGJJNpqSjKWEyQvo+UvqOUdpCUxZs1k4/MopjRhPHAHt6/x6j8RjZB0XCYo1yz7wsKfMNRb6hqSs35KIEaQVCeF3rg0M+9O0FiD6JwV5MoxFo15stLFEYEAUSP3TBiXtHXH+tUY4tt60rmrp2UOJ/AHL/ncGiUl2gb13fiO0vEmBf76P3O6w3QEV7J2e/WNc/1J4IwT1oM7zyO/3EIYTr3l8xGP3BPvX/CXPHXu1gsX2MatnZw/7vndO85xjSG49bVmnYc3/FBnEL6tr3BfWDVUiL7qBRAoGVmjqf8+Kr3zH78GNU2xKGkkkYY9crKtNw+eYNy0bwq99+Qa4Nn/3ZX3IwOmKT58RpzPZ6gclDXuUrgkBycHLAHz//kt/+/gtmn36MrxteffUV3mTCj5++T01IoQxS+mSjlPxiTaUajo8PMOucl3/8mj+8eE6ThPzX/9t/xeNRxvPff830/kN0XhCHAetyyb/4X/0vefr4AfdmE6r5JXVdo+uWV89esVpt+PWvf8f5fE5rwZMhykJTt2wWW6xpCJMQEUjabYEfBsTdy6i0YXY0wWs1q8tr1GTEdDwmiRICEXBxdcPxg2Mmp4/4wY//CQERjmlxL59sock3TremVXhhhBIBNjnA8yOE6Zmk7mZAd+NA9ONLa/LrM5bzNxT1gskko6lCsjTBwzKaTDk+PObm8godW44Ppo7Z0Vp8XyCUR70pWG/WyERy//gBj957yOF4SkCAbS2VaqjygtV8yfx6ydevXnMvOeYoTvBawf3T+xyPDolljGegLSsqrdC6oW0bqqJi8WbJm9WKsm5ZV5bJT0ZMbYtsC4IIRpMpN5VBxV5Xsb+FvAfbt5g5aK7wPEIvxEcRej4YBy/TbYPBUDcNTVVTbXOauubqzQ2X69XbxuJPfdnPtu8Ztt2f4s7f7EHY2Vtr/17fDdT2vur3dceBesuz+ZbTvIXFEnuOTX8O76gmvvtcvsOTeuepv9Ob3L1b1lUWaUuErRDUYCpUU6CKDcVywXqxJN9sXeXKCxjPpqQHhwTZBPwQ4fnDNVkLVa3YFiXbbc4oGyEAb5CpAKQg9CSBFPgCAgFpFCBCR48uMAN5hPQ8wiwjGwswHRQHQRDFZGOnU5aOJ3hRCl7Q9cQYyrrm93/4iv/w979hvXHwVWvtIIvRTyOz2YzZdMp6vaEsHeOpEJI4jhiNR8RxRFnVLJc5ZaWpW0OrDNIPePTeUz748EOk76GNmxeFcAlZZTT5eoNqmi5gF8ggYDSeEaUjlzEeenduv+/up+36jlp0vqVeL7F14Wp5nsQTZpiXe8SQ70nGWcw4jQgDJ1Lt2Bcr6nKL0g3jyZjRaEyaZfhhBMLDaotnDZqWuipYzOdcXl1S1y1pNibNJoymhxwd3yMdTRFe4AJa63QZ27pkOb/m4vyM9XKOtZYkSwgCt3/TSX/0voUjxXDIEzFABjvJJNHfk9tQaCH6ftfuXlkHVRVGs15c8/rFNywWC0L/+6iz2P0n9uzE3cDvHYHgrc/7ZFI/ie4tO0s5HOzWzoZWolsb3Unk3/3tFtzh3TaIt9a7/evdy3jn57fNKv3VuIDCWXfTww2sps4XLN98g9/MGY8S/CRCCB/VNFRVxfJmztmb18xv5nie5Ol7j5jMZkRJggwjgtCRKRnj+ADyoqAoS5R2BDcWOki5GfgWjHFQQ2EdUcvR4YTQk+SbNZfnF2jVgoDpJCPNEsIoYnZ4SBRFbLZbptMpT9//gMOjI0bpyLFuWuug6VVJvt3w1VfP+PXnX3B1sxh6BFulUNrSKuXkPoKAoG0dKVbjeriTJGaUpWitkELQtoqqdoFI3Wo22xxlJNPjU55+8BFC+g452L+zxmKVYw1V1RaJBmuRnk82OcQLIrTWjoV2L5lrdrvoNBm74EO1qCpHlVukafG8fu7ogsVOJsj3JHEYEIUB0neyek4bu2S73WKsZTo7YDLpekiDTgvY0M0tGq00y8WC1XKF5/tMZjOOTk45PDpmNBp3ZGy227eirRvKMmezXpNvN9RlgTEG34/xQh/82PU0+jFIBx/t0iddq1zv17oL798pCQS+TyhjgkDh+RbhOV1xYVonI1JVVGVOsV6z3W4pmxpt/2foLFZ61+jeQ1kYyBs6q2HtrulX9oBQg7Gi65XamYW7BmJg6xuMlovopHAinrvG0y6HZF2pvgurB1Y+VzXp8LZWdEQ5+5knJ4tghkqSGCyChWHft5JMuAlol0nv1uxhQULg2f5q6ViZxJDdMrYTbRUWry4oX3/Ni5dfkT79gKZqSAMIjEFXOYv5khfPL/jNm1f8k3/+1xxGMV46Y1NKzvKcrOtp9DVM4oAXX3/F1y9fsS1qjh49YDpKuTq/Ijuc8HQ85XrRUlQ1QTYm9CxhveV6O+fBB49IheD118/4zRdf8uRv/oZ/9ONPaa/PmL+54LxoePDpT7h8taJp57zeXPLX/+o/IzOGfHFDkefkmw0313PquiHOYh7fO2F+veBmucDIACUS6rJE1ZY0jWiN4MNf/DOiIGP1f/pvWBc35IUizGJ8KZkdjgl9QbXY8m9++0fwJG2jCOKQslzz4Sf/iqPjR1212PXKyC5Io23YXL1G2Qo/CKibCn80ZnzyGImH7SrNYG8lIt6iQNKGZn5BwJb33r+HMIcU5Zaq2HKxWjOZjMnLEikF40lKdpQxG00c2UwHY6u2FS+fv2bjVRzdO+Dho2MO0imyETS6AQ3b9do5fducy+sbLm6WJA8S7h1N+bMf/pjjg2MiK0E7HTHXSF25ykfdsn694PmLc1Zeg1GaaDLlYBwNzF3SaC5fn2HvHWLZy0Lt3MA99KDLtEd+i0+LlK55Wmvl3tu2pVUVTanYrrZcXVxStDXFtiA5Tb/LbPxJLrt3v0/b3fm880H+oRDsXQ7Qu5d3ODzi7ud22E1/amL/vMTedvbWL7eKBBYGOP2ts77jV4m7p7TvMPbmfv9ULcN4EgLHdGc10iisbZFGgW3QbUm7XZPPb8hXS1TTEsUR43CKF0bIJMZPEvAkVoquqrg7SWMtVVlT1w1KKefYCwaIrtPEcsyorifFkkQ+As9JOxhHRd42DUZbwjggjiM86aDvUkqS8ZRsPCWIU6f3KH2EdGLKxlhubpb84atvWKxzfN9Heso5GrhqnsQhJh4+ekCaJMwXc968PqOpDUHgkaYpcRJRNy2r9YbVuqJW3fyFRzo95Kc//wUPHj5w2V/RcwpJsK7CX5TFAJe3wgl5Z9MZYZygRE9oxa5Fsoeg2z4ANA7+vrxBbRd4pnG9O7KTlOpW9qSr2gWBT5YlRFGIE+nWKNVQNxVN2xCEIVk6IUkc7b6QPgYnAo02CKOoioKr6xtu5kuSJGM0mXF0dI90ckAcZ4DsmF0dgUS13XB9dcH11SVFvkVKjzgZkYwP8MMMK3Ysz+66dpn2oUeJnoSvu3gMQhh6+JvoaehlN5qNwRMu2z6/Ouf1yxdUxZYsTUnTMd+7RbzbFtwyB+KdFu07Ptt9d3tLsf/VLcO1I7Xpv3j3fu9S39w2ynft8O2E3v52/ee3zNreOfUxy92zcLamk2cRAtOxoOqmprx6Qz4/4yDWePgI6wjhVFNzdfaGN69e0lQV904POb13jyhNwfNA+kgvRHgBxliaxjEzr1cbttsC6fku4BHumoztgtW+yKFbdFMTRz5ZHKGaisX1FflmxenpMelohNKGoihJshHZeMJyteHFyze89/R9Tu8/ZDQao1tFVZUIXF9eVZXM5wu+efacq6s5xoAMHBlZ0yqUdr7GaDzhJz/7GdpoXr0542qxJBYxrVadP24pq4ptnlOUFWXdYKygaQ1RMuFHP/k59x49odUGPM/lPo0jlUIpmnyLrirQ9lZvNp7vSGj6/sTBtu2e85D/MBrTVKhyBW2OL7TrLxU9iU3XZy8lYQc/9X1nj5R1EkB1XeF5HgdHR4zHI8IwAuH6mo12JD7GOORWnm959foN1/MFBwczojglHWVESQzCdj2BLvCvm5oiz1mtlmxXa5q6whhDEMb46YRofISfThHBGCsjhPC4HUENkczujROuDS7wXLtGIH2kdORevXyIVRV1WZFvt+SbFflm7WDP1rok7Xcs/6B0xhCxds7GLlDce6lE54wLM1Df9iGeZaCNGWLfHqa5i8P2EeI7JqNd1W83CGy/xp7z1m/b45fNcKz+uLv9DIvtrkzsG609A9eH6FY4CIvdnWd/RnukvQjr+Os0DHCYnrbblzGNnBBNj0njkMgIPJVj2pLrqwXLxZKVrvkv/4v/lKeP7lOual7OS1SY8PGPPiVNM5YXS9dL0lZkxyd8ksTcXF7x9YvX+KHP0ekJ99KEs99/yfNNi4hnRJMTAp1Ds+YHn/2QYnHD9Zef8/rsBZ/905/y8CigevUNq+2Si+2Www8+4PT0lK//cE6SJfz8H/0NiQSVr6lrhYhi7h8e8dGPf4JtNG/++A1nf3jDxdWcha4IAqiVBc+RO9RGMTp8yKOf/CWfffQz/v7//j9y9bvXJNMMX0jy1Yb19QIPweJqwcvLG8IsIk0SCAPe//E/5hf/yX9NaOMdxKSP3qXF1CXSFFhpup4mTTKZMZ6ddpBohixo/8zEMMq6bDQGtd1y88fP2Rav8QJIs4jT40Pu3z/BNC1lXWOUazyvTMtB4CG06IS3KzZacX0zZ/L0Pp88OmGajhDKIq2PUg1aK1SjscbQFA3XZ9e8eP6K6+WC+/Yh00ePmWVTUi9EV5ULLn2PIt+yWq9pmpaLywU2kNSR4r0PH/Lo5D75SmPjzF1mlaPbisOHj9h4KZodgc+tW7c3zgPZMosrJoHE0xZd146NbVOw3c7RpqUqKlY3a5bllvg45cMffMjp6THfu2VIHr3lNTEo33ZJJWAn63bHkdlPUO2Is/Zt5Z34az8AuxPwdZ5tN/l1474PWPeepWPz3T/pPaix7c9lOOLedgz7BFfBksN94HZwLNixnu7vaS+x5g5qHTTbOmimamtUkdPmOdoYkmxEeBASRq5vr1YahYAOYjNkS4VASIkQnutZNBY/CPH9AIvrIbTW0qrGVcY6gWVfgvElcRQicIGg1Qqj9dBbiIjwgxDP89DaIDyPIIrxoxgvCFzlSmuk5wLV68WCP3z9jLOLK5eF9j20dkQvQ6LUc8Hi4eEB2WjEdDrl6vIarZz2mJQeTaPYbAuK0vXs2a5nWgYh773/IT/9+S9IRyMa1SKscWQzCDDWESsUuetj7IhYgjAhHU+clE2XRDP7CQPbt2x0D0or6tWcYnGBLLf4QjldtP25vev/lEIQhSFRGLlAUbXotnF9R02D73nEWUaaxPgdg2pPomWtc4zqumG1XHN9PWe7rRhPjpjOjkmyMZ4XoI11MDNlaWpHr7+4uWI5n6O0Js0mpKMJUTpGhhkEiRPjFn3PohzIRgbv4ZZIqRgGqbB9XWb3JhgDnjBY1VDXJYvrSy7Oz1BGc3zvPtPZjChI+L4tPRribnJon7zwrYBrsEO3V9jvDN23NG5/+5anW3PPbxPs7K0Y7Gy/c3eCt+zPXdj8W9d1OyAcVuxtmtj5kP3hdl7nDs442Ofe/zUdaaGwYLuA0WqqIqcttoQeBL7EqhZVuT7d+XzOejknTWIePjhlOjtwPYqdUL0f+g7C6Ad4xhGc9CcrpcDzJb4nhwBRdv1zRhn80L3vRitHPKdbqtZVjLI0ZjabEMYJ622OwRLGMVEUs9684fp6zp/92V9ydHTcCcprh9Do9FmFlKzWW16fXZKXNcY6ksC6bmiaFmUscRRz78F9fvzTn5BmGZ//7gu+fv4SrTRN3aK0xhOCbV6y3uTkZYlSGmMhiDM+/vmP+fE/+htEmGKs6/sUnQSG5wm0rik3S9q2QQmJMoJRMiYez8ALu6TQXiGA3lW3O+k7C6quaPMFzfYG2xYIzwzVRM8D2fUs+r4LFneJRScXotsWIQSTyZgkSQjDkJ6QyCWlOmSJViituby64euvXzCfL4iTzGm2xs5+KOUqwUo7ybyicHDV9WZNXdX4vu8SlpMjkskRXjzGyBBN2PVyu3E3vLPDu2qHe0CHrJDSFcf2C11Wt5i2pilytus1q9WKunRM1EEYkUSOrOi7ln9AMG3/bdt/FfetjPvMlX53eSLnV4hb2+z+Z/hsYF3vo4HuQVt7l3l1P+Dsj9wrSXXrCPeX3dvwrgHcv6rBSHWLfOsXu2ew7F5dcgdh7as3O1PDrgIwOGEeTB5y/71Pka1EmwpTr1mvbrheLDGR5Z/95/+MmedDDVeXS+aFhSxHI1BGQOCRyAAtDGVVoTREacrJ6QkffPQx908fkJ+94eX5FSsRM0vg+sXvyR+PeHQwRuYLlhdnbPIFH//yE05HKe16y2pTsqpadDbjgx99ilf75NsVDz/+mEeP7iO1IkgSxrMEX/jUecHq4pLl1Zx/+//4t/y3/8+/5aooSccxYRSxyQsHgwgEWRjx4L33mB2esLy5xA8DfN8jDgI8IE4SvNBSbrYI6eMF/kDRH8QJ7//4Lxhlp3fGzO7ZNNslVbXpKNUlVlnidEaaTHtmoWFM3eamtMMYkU1LvbzEknfiuA7nfnN1w/LmhrZpCaOQUZaRTTLGo4hIetRFzubihnW+pDIN2Szh0YP7JEFCHI5pmwKlW9rGie+W25LVcsvNxQ3fvHjNm9XcUW17PqPZAWkQY1pFW1W0qqaoFfOra1bbLUVdcLPacu/jB/z84x8zG03xjE8kLGs/xUqBUTlRGrHdFNQz2ZFquOr3bjJmeJWFEIS2JpQN0lh044hutGopyxKNYXu9YLndoHzL9EHG0f0THpw+JvG/fw7ULefollNk7ww7eytwGrbrIefD6u8gdLjTgzMca8+Buk2a9W1u0bc7TCCGIPC2G3d7i96S3fp7P1Actuu/24sSe/vWT0S2dwyhp13HaqxuUI3TMfSDgCScEUVhxzQqnc7ftnQTqdKOBbMbm1JKhPS6bLTC8z2OxmMmk7GDNynXmF+VJUkcdSLKEiEMnpQEvt9BEMFqR8bWto7lzyIcXTmCqmmxKJKxw504yJfCAnWtWK/WfP77L/n9H7+mahqiyNmwtpUD66nT45IONmZtl5GuUVo7YjRjqdrWESAUFY3SzswJ14uSjqZ8/MlnnN57iDFu/tIWRNdTo5WiqQuauuyGhcDgE6YjkmwMHYPpW+NtGI9OvFqVW/L5JfV6TmRrbADWCBdMel1jhQDf9/GBMAxcldEYlNG0bYPWmiAIiKKIMAzxO4rxXULDZdzrqma1WnN5dc16vUZrQzZywZ+QIcZ2OmyNpipz1uslq+WCIi+QQjI9OCIbHRCmY4QfY0SAJsAKH/bJbUTfEHJnlFvoIV87dFL3Xoie1MJg2ppqs2Q9v2a9XOB7Hkf37jM5OCRJM3y5X+X+fi19YmtnI25/B3vm6VbUxq3AbT8B27f37JZ9G3P7eMO3to/rb3vCg00SfRLAduZ3P4gUg8ncPft9G/otdv32QNnPI7y1WOxOngA3yrRuEW3jtPrSBE9WqLamLQvKsqCtCo4Op4wnY6I4RinDerNlud6A9JkdHRMlIxegCInvByRpxsHREdJzgUEcR65/uEt0FWVFqxWTeIT0pIMTthVG1QSeZTYbYa3rvbbWsFqtKauGew8igihEKc3hwSEPHj4EBKpVzm50zMtCSDbbgq+fveTV2RXbosb3A6KOadlYh+gKwwClFM+ePWc0HlM3jWNv1pqiqhBiRhiHrLY5Rd1QVLXTDLSCh/fe40e/+EtOHj5F9ywn1nTjxvWbt8WWYj13xDRGYGRINJoRplMsTmaiy1TQjwYh6Cp83TNva5r1FdX8JWp7hU/jCF669gXR+0dS4HteR2gDWimMceQvnhTEUUSSxI7wrAsO6YjHrDUda7Rludzw299+wdfPXgGW9/2QbDxyBEfWYoxjdq7KkrIs2G63VFWFsZZsNGU8OyQZHxKkU4Qfo63XUbBIh54YYql3vVl7PkePvMO6gNYarG4wTUlTbh1PwHpD3TQEYcRolpKkI8LYJf2+a/nOYHGXr9v3bvZf/t7lcG+7EX0g5eBA0L+3ctgfYh/Nvgs8XVJz9+D3D2et+7wPDQdTIuRgUES379sBrRwmituenTuZXszyVmT3jikXXJ9iT6Mr4DYldGeQdv6URe4FzhZLGkuS6QxbN/iBQRdrljdXBOOYDz9+ymR0RH51w2q95PnrG85NwNhLmBwcE0YRnhSEnk+FcKQ5ojPofo4vY37726/YLhZsgpTJ4QnCSg4PjxkFIaYquHz1CiUEx4/uczKdodYblvM120bz/HzJJiz5cZyymS/YbNbkTcPRwZQsDLBNTVNUbPKSzXLF1fklf/j9V3x5dk08zXh4kPHo0QM285zXrxZoNHEYk8QR5cUb/vX/8f9AqzVff/25w6grjbYQRjGJAF1VBHFI4PvI0AcB0fSQyfFDfOEIKuyt5yPwpcfy6hytXV8QQoIfEExP8P2QHo7knvvOG+/rwUK40dFcXfHy838PwZY0CxmlGUHoMcoyPCuoq2owDI6CXSGs3421lqopOP7wER88ekRocHpJtWtSb1SFVo27XqXJ1zkXlzecXV6QtxXhYcq9x/eZZWNM1VI2BcV6SZEX3FzOudksaYVhdJDy4Q8fcHR6zMHkGGmCjvimRiUh0kIkoS5KxGiM7HoMupdq9wYID4RxBl9qJoEhxKCqirap0bqh2mxZzpfYQNGaGm/kcf/pPY4PTvFFRBRkWP3d2PY/yaVPZt+JDW8tb6XW937rnNO3IM7dPt9lVd5taW5//tY679jo3ee7CwfF2x8PCJFdZn/vuzur3zL9vSkVdu+jHaGZtBprFNYojHYyBZ7vEYYJQRAQBgEC4SA8yqNuWtZ5gR9bIukT+P08ITAWJw+UF8RRyL2TY9cP0+l9lYXTSPR9D6+jc+/gMO5SunyR0pa6VlRV41j/rKBVGqU08/mKVhvCbEKUaqxw2WQrJIvFil/9/ed88YevqOqmYxyMKMqCKncU8EJKR+0uAGNYL5doY1jMFzSNCzqtNqhWo7SlaXsmU/dkpOdzdHzK0w8+JIxjmrZFGY0REEjHLG60psi3tHU93G/dET7E2chVYI3o+njsrgDcP2NjsW1NsbqhWF4j6hJ84wJFK+nRM7ILopzOIHiekwdwfZcG6QlCr3uOYejsqVED2YTTdVMUVcliueD8/Jzr62vKsiQIEmazA6IocZIeqqVWiqosWC9v2G5WKKWIopTx5JBsckQQZ+BF6I4hFeuC810toU8sv/1eCDEU5hF7Nt8R3SjQFU1TUG7WlOsVdVWSjkZk0yNGs0PCJCUIQr6Hlo5vtzx7y50k1q4KOdQIb63bB4q7JuzblrC3Q321jr0fu+PcsZ/29s8BXngniTbspo8Uuk+tfWuF3QHtznt916Xvn/cuau04/K07GU8KoijCtyFS1aimpixKVNuSJjHj6ZQ4SZwdq7dsNxs2qw3JaIzo5XW6eyk9jyCKGI1GrooI+L5jS23LmtUmZ73eMhplzGZTpLWYtunYjD2S2O8CNoOxmuuLJd88e81kOsULAqQUhEHABx9+QDYa0bYtxrggtKkrirJkMV/wm99+zue//wNKa+6dHnF8fIw28OLNOduyxA9DpJS8ePGSq6trwjDk1cuXeJ7XwWkVQRSRjTKubuZoowffKQgT3vvgYx699wGeH3YqB47ES2vHVIyqKTbLPRSFQAYRyXiKH6eORfJuYC/cmDDWSekJrajXV2wuv6FdvsEzFTJ0pDW9zuzAVSFlh0xxckU9VN0PA8LQsVf7HTzTaRE6kiGtXQColGaTF/z2d1/wd7/5HfPVhtl0zMHRoWOFdldF0zRsVmu2mzVVWbqkWxSTjaeMpodE2RQRpBjho7sEnlOfcElMe3tE3lluz9ieNfjC4KGxqkLVW+rtku16xWqTYxEkozHjyYx0NCFOU4e0EfYd+94t3xks3grYuvfl9qnugjIQ9KhaB0t1D1CIO3sTrq+vDxyRFilt1zOxyzxZYx0cyHYT2J7G3o69VHa/94GA7A/Rnd5+MNjZpP409k/LQk//fjeZL/ZSU/bON7czlj1ra7dNf88Q+EbTLM84SmLWN2u0bmi2K6KDMT/45FNGXsT28pLtes3NfMuzsxuqyTH3xjOSyYTpaIxvPYrNmjAK8Txoq5r59Q2NBQ/fNcpuC15dXHGaHRCPpnz22Z+Ttpe8efE10+mMySwhCjS6KJhfzbm6WvP5s3NeztckD064urygXJTMi5KPP/mIQGu2NxuasmSxWPLq9TmXV9fkecW//Tef85/8r/8zfqpK0lHK/cNj/i//zf+Vpq4759OJHefLBZvqjOnBjNk4ZL6umB6OiQInaxEEEQJJ3daMs5joYMJsMuLkg4959PRTuu4AdpOUexKirVmdP6NqciQW1VTIKMafHCClP0w+IG5paXam2T0w1SJ0gbElqqxY3lyjjXJsrVHIZDTiYHZA6Em8OCBJQkLPgraUqiKcprx/7yOO7p2S+RG6rAk9iW4qdNtQFhVluUFpQ7msOD+75o9fv+T1coHwA2ZHR5yeHGHqhqpWeBLq5ZqrmxvOLi8RY4/jB0e8/9EHnI6OEBo8GaGNoGoV27KlnfgkqsU0G2bTCRsROTFzdgPdTdLdZGfd+My8lsxrsXXLZr5CUbmq4mLD9fUl4kDy3gcPSOKUyeyAOBwhjY/WmqZs+D4uvX14K2O3n38aIu8+x7zbdudU7PYh9vZzN5B8KxB7xxntw6Jgzz7tooG996IPJXa/D3D8PYiF2Hek9q/z7mncnQB6s9tvfPecrQWjwbSgFcJ0RATC0URbeggP6FaxXjsh91pbZqHTXe11aW0H/dpuCzabLWmSkqapy8QD1mryoqQsS7zDKX7gI0VHbqCd1FCvp1tWFavtlk1RkkSub1D4LVXlGE6Vthzff0DTKBAS6Xs0bcPnv/+Kf/u3f4c1lh99+gMe3j9G65Zvnj/n+vIarR35Qp+l1kazXC5pW0Ve1Z0ztJeU7OZJKQO8ziKFccyDR484Pjl15BFGo612JAudd63ahjLP0W0DxmWyhReQTQ86mJOD/g76wF15uz+uwNLWBdubS5p8Q9gLtlmX/HTDVtDTArp40UG0sI49T0gn7eF5rgoiu35PpXuoq6uAFGXFfD7n8vKC84tL1ustTaPIspDReOyqGKpFa0Web1mvV2w3K7CWUTZienBCOprhhSOEHw4Z9sHPkHerUz2Z3r4f0A9N69gpsXiik82wCt2W1NWKKl+jmpowCBiPR0RJRpg5TWCk311fy/dtuROj7UxbN153KIF9u7XbatcO9A5bye0vbtuu2+zNd0LOW3u5vZ3AvnPd/YPuH9/uXdPe8b7lvPeD0m8xw3sBym4PUrqKlCdcUcIa6/QHs4Q0y4iTGCGgrRtWqw2bzRbpeWQj1/tmcRwcvUxN29SoVhEGgQvK/JBaaebLDdc3C4yFe/dOmY5HSDRtW+N7giRJiAKnG5jnJS9enPHb33/D1c2SH376CVppqqphWxRkk5kTgG8a1usVi4UrDsznC87Pznj16jWz2Zif/+KnfPD+U+Ik49/93W/45uVrhJAEgZOVqJuaqi4JfYc+iKOItlWOKCaK8H3PsZh2ibEojDh58ISPP/2MdDRF6e599frA3WIxna3bOo1n3LZ+GJKNJni+U5f1RI8O6+bgLmNkO5un65zt5UvK+TlemyN86BmPHapAdnwiYqeJ2wXuvufhhQGB7znink7DT2vtiGz6Z6UdUmW92fL8xRt+9ZvfcTNfYQwkacbR8ZFLqOGYuMuiZLvZUOS5g7ZOp4wPjoZebC18lPVQ2q1vrMB0CdMhxhkG6533sZ9dhCuAeBh82yJ0ha43VOtrtss5VVUivYjR9IBsekCSjfDCeGjJ8G41Lb29/IPSGX1GCLiFN3df7769VQ3kVoJp91DFDuFpcP0xPauRsB1LUXdDWvbDMZcRdIOnmwAFWGGG+2ftTgdxmCr6gBWGSqCD493x/sQegQ8M4UTHo7ezE7gB1letBgdxCHR7plexczIBSY1nS6ygY5OqEJHPvQcniLal3OYsr655c3HJr7+5IPcyJpMDtos1iyBEKsvhZMx4FHP9esnX33yD9X0aKfnlX/wVkzijvlmi8tplsI0lGh8QSst2fcHjjz/BL9fYukUXBTcvz3hzc82X35zx+8s1h0cTPv74PYrra54/uyHvYFTbjYWy4Ksvv+TN+TVYS5HXkE745M9/7LD4ScDROOPyixcsNjkKg7aWIApdsS+OeO/+CV4Q8ODefTAK5VnCKCCNE2xjOLu4ppaW6XRCdnTEvXun3H//Y4IwGhyZAWgkDFJK6tUGdIGwDdpahPSohIc/OkQiB8epn2R29Wj3VEVds/7jb1HNGcenY6LkACkgDsMBcqCaBms08+sbat3wwZMT6kqhpzNmswOSyMMTlkT4iFYN+kRVWZGXG2f+lKYuW5798RUvFxdUrWNJ89OY8UFK6ntUiw1WwmgcI4Dtco0/i/nkx085GE85OnpALFN0o6mLmrZpyDc5GyXwvQjVNBxMRqxvLsgnE8g8ekbDnZPKkDwRWALRUm/XVPWatt1Qllu01Vi/5eDxlMnJASfH9wmMR+hHCBuAFTRFTVt9/4LF/Xd8Fwx1AZfdrfB2Aq23NXuGkZ0xtN1uhN0P0HaW0gqxh1LoVt5zdtw+ds9yfx87/pzbE8i+ozSkV+xgqIZ19v/odzNk73uc6fDB3inu/T30GVrAajBqYOrbJdGcppSyBm0sVsNqueX169fMFytmpyfEoxFBHOPYLnHQR21YrVZUZcnhwcFAPmCtm7Drusb3nCRFGHTOvVKUVUXZ9cm0nXTDdlOiNNiOnMAaOgetJYhcT4/0PKTvqMpX6zV/+OIrrq7m/PLnP+YXP/uMw9mI5eKG68uLLprtmPqgI7txToUTqMZVOrtnEAYhfhBSVQ2mVUhhQQrSNGY6myIDn0YpDG5b33cODdaRTTVlgWrarvdH4Icx4+khfhh3esNmb1Cym4eEO36ebyhWc6xqOpHnzqZ22XJju+pk1/PjSemIfAZCCOl6fHzPweToSTc86BzXonDkGBeXV8wXC7bbglY52vt0NOqqJtC0LU1dkG/XlEWOEJBmI2YHh4wmB8ggBRl2vZk7H2AYUGIvTdPdo955HCj4sQwMqMIg0GAalCrQ5bpjWjRO1zcZ4YcRXhAhgxQhXV+s0RrV1nzflv7ddndwJ2K+n9ja/ez9pW4Re8Gi7T1AszM/eyieHlq4g+bv2RPRPyN2BYFhPTtU1/bPZWfC9quCO7u7s8F7xIz7weRbya393+3tv/dWEbdsZ+fdOV00LNKRORqL8H3SHp7didFXRc3Z+QXnZ5dUtWJ6dEQYJ0jP7947Q9soyrJgtVjQNA2T6ZRsNALhocvaaZrWLdlo1JGsuAS6Uo3TjA18wLDpCGx+87tvePnmEi+Muv5qjSoqzs4usAQUeUFZldzcXDOfX1MUBevlkrapePL4Pp988jFPn75HFIWcXdxweXXJJi8IowjfD4ijyBUtpGA8SjFKo5uK9WbLaJQQJxH9U/A77cLRZMbTDz5iOjukVQovMCA1wtiu0ueESZzfuaVuFcpYjPUIoox0PHP960q5PvR+egIXVDkjiDSKarsgX16ArvA9gSd3ygSiaxeQ0tlni0UpgxAKr+vTDkMf3+8kl7qAVxuNUU7qQilNVTbMF0tevDrj7OKa9Tp3+sCe4OBgynQydeg/6+Q36rKkVcrJaYwnjhE3nSCCBIWH4/XRKGO65IjEduW33RRshzGI7cY7exww1uBh8GgRqkRVa9p8wXaxoG0bkmxCOjskG08Jo8RJVImO2HB4d799+Qd6FvcNb/eJ6D8Rey9Qv+7O8Mjd5u6VFrfjYYSrFwkrMNpdsmctgcdQUu4DzsGR6SuE0n0ge+MgHDmDZ8RgIO6CJUx/I/YcqFv9Qez6D+mv5JaO456hGza5dUVdBXT/7nXG1CqaaoPyIoLAQzaK4yfvEUmPJt9y9vINZy/P+R/+7kua8YiPf/pDZrNDHjw44d7pKaH02S5XXF1cYgXcf/KAN988R/gR6XiKqWssxt2X0MdLE5LxlKaqePrkCZmt2WzdwLl5fcam2PLsj69Qp4f87//5X5FfXRM+fsjP/vzPMPWvCP7uC149f8U2VLRa89kvfsFfjMbU8xX/5r/7H/lyuWJ2coKxMI4z1q8u+Lt//1vOmobZ4RQjDKenRxxMMpIsQfo+da3wfHjy+AHPzl5zeHzIyfExxc0GqyzPL854/8kDYj0jEpaLP/6GZ09+xUcf/Rm+ld1jtmCdI1NtbijzJUY7OvyyrrCjKdPD+2Buv2BvwWYAr254/sXnzPNXxJGPH3kdBNVnPE44PJgSpyFJnHJ075jU91i/fs716pzxOOPQ95BWEvgSYSy6dYK8TZmzLUuwlnxZcn5+w7Nnr3h+c0VyNObe42O2qy11Avcf3+d0eoiXt7x+dcHiXsp4lvDBzz5kdDghTcd4IiCSKVJbqrLCKkW13bKuGuTBewg/JVRr1jc3ZAeH2DAj73VA+xePnY1BWHxhEE3lGLh0i/QEKEWlSqanMyajCXE2JvEzJD7SWlRdo4ygbVvqPOd7ubzlLNjBXrxNfNObh+67XaR5K5j6tgOJ3Zpv7ffWpsN3e9VDsf/328vbx993uXbjYZ+A5+55iFtVgL1kmtjZ4X6XfX8EuGBRmA4J0OftjEUZ5SbbqqbYVrx4ecbVxSWj6ZTZbEaSJAjpDVB/a6FtFJv1Fq0MYej0xpQ2NI2iKCuEEMymU8aj1FUVtdP1225zrm/mVFWNMRatDVKIQecwiiOiOMJYS5plTGaHTKZT4jTB932aVnN2fsn19Q3vPX7In/3yZ9y/f4pEE/gB1u5aNAbZrO5333POSBJH1FWLMRbf8zk6uc94MkF4r5kv17Rt44h1PImqK7brNWE6RvqOaMHH4WaM0dRFQZXnGNUOAX2cZIynU4Tvuz5HIfdgd3Z4atJalFYUmxVNWRAYA84PwhiDMaC1QHoduLNz3DxPDtl1X0o8zzlCUsoONqY6KL9mW2xYzOcsliuWq03Xj1N2kDjw/IDxeOqqKdagVENZ5LRN7XrY44zxZMpkMiOIUxABBm84RzenO5FspxcmOodiP+jpx27fxrKfAVFYU6N1CarEWkMYx4S+JAgjwjBBeI791jGbO80w1VQUm++jziJw6+3ul87S7Tte+z/7tUQ/v9phu/3KrvvIDnHcndBuOKgVu3l5b0+AGGTP+g9vFVa+85LeHfQN3w9u4F7no2Xw5azd+XG9Kz5sMSRgd2drhURZEEjCOMGPIjzfw2pNvl7xzdfPefXqDKUt49kBWeaqikJITJfcquuazWrJ9dUl0vOZHR4SxwkWQa069g8hGKUpWZoghXCtN0aBcRD3+fUVF+fn5EXF4eGEJHPQwocPTknjkKJqaJuaYpvTNDUCw2iUEgQnVEU5FGKOjg65d3qMNZrVcsmz58+5vLrG8zyCMGCUppyeHjMZjxAY0jQm8HyUqrm6vObo+IDZbEZT1yRpRlm1xFJyeHyEJy2vXnxNmM148DTFIlz/ofSwVmN1S51vqbYr0C3WGiweYZo5LVmxx+p+9723DP1568UVxXpBZCuU1FjdPT/piMZkX9nSdAgUTaQD0tjHD9y/TrV9gJ0apVBti1aKIs+5uLjm4vKK1ca1SBwdTCirCgtMJyPiOMR29rssc9q2JkkSRqMRo8mEOM2wMqJFYrTtKpYapQUIryuG0c23EiOcnqzog6vBwetuQccTIG2NUFva4po2v6IuNhhrGc8OGc2OiLIxQZcYZR+rqS3a6u94uf6BYNEMUevuxMxAXbNzNO7Go32WaNdMsOdoWDBiV5lzqzloqoO0gNcFbftYXRcfdsfbY96Tg4Hr2Pw6Y9GLafTTyfCaC95xzruXX+wZuf6zwQgNH4mdfbm1r32L2tdzunOW0JY5VV4yPh7jy4Dt9TX5ZsOrN+e8Wi4JDzMOJhOyJOSDD99DGLg6vyZJY4RqmY0TvvrDV/zmd39AhAGPf/gJbd2QGYlU8OrikjYbMUpGRHHKJPHR6wvOrl+j1pdslzecn51xuck5/fMf84sffoi9mbMqGqptxVfPXkEQMopSFssVn/zFZ3z24ceYoqBYLHj59TNez28g8Niul7TNKeubG5bXN9wUJVpoTu4doMvGkQdYjW1qPE8wy1JCK/nm/IpkMuPk5JQsS5mmI/43j/8rLq/n/O6LP4C0VNWWut1QbC9pdUsgo1sQFtMq8ptzhGiRHggbAjU2mTAeH4KyaOTA7IgwvT0Z0h8i8Dl5/IDtl2cYaSm3JeevzklGKdYoRuOMg4MpSZRwcnpMYlvq6zfYEdw7OSa0HXy+VZRlg2oKPA82m5xtRxWdLwuevTmnSiyf/fmPOJ3M2L5Y8kqeQexxOJuhtwXrTY5IBW1p4TDk5PiAOMnIkgme8GiLgkppVGuoyor1tmTrj2F8n1BE1NsVh5MUITwaQhyBcm9Su1tgd6NTGoUpN5gmB1vT6hKZeByM7nF0dEokfDw/wJMePj5tXWO1palaqiKnbku+t0sfLHVZwf0xM0xKwtms4Q92670rUOwtZR8gDs9kb529uH6ojux22O9zFyjuflreTpkPp3V7/92OvjOOvX0bhvVv95ffdhalwGU0rUaYFmN119PoSBGMdrpgWrU7+NN8DsDh4QGT6djBS+XO+bcWWqUpqxo/CIij0DlJ2r0Ddd0wylIOD2ZEYejmHGNom5b1Zst6vcVaSxCETtw6CAi6LLxAoI1LSIZRzGg0JoxifD/E8z3y+YaXz18yGWf8zV/9BT/69BOEMDR1hTKWum6w1gz069pal72Wu/kyDCM8v8IXHtPZIR9/+hmnJ8eEUYJ49ozVej2Mi816wXo1Z3p0ivBchl0Ki9dBUPP1iqYooNNe9IKAyaGDEfXkB2YXKTL0Y3XOrW4byu0WrRpCaR0L9NDm0Y1za7CdzpYU4HldoOj5DqLUV12FcMQ7VlBXOeevXnJxccY2z0H4SC9gMhmTpilBEFHVDU2jSNIE6QmUaqjKgqKqXBCZZGTjEXEyck6MDBBCIjEobbGqwWiBkE7OxArJt4vHu+sXw9jsvACrwNagGzwsXhTh+4LA95Cek/zo2VUd7FahmpbNasni+uo/4m3501rE3tt8OyUE+xn63paJPljby4n17PDDlp0dGkzXrfXvki+Jd356O5p8xwMWu192SLHddv153k6C7YD8+6Z0/xO7V0i4ddidQaYHwopuXAk6uSrPx3oBnowJIw/PFxitWc0XPPvqa968PkdIj+PTEw5P7jE+PCJKUrxOa1opQ9WRQa2Wa6I4pmmcnqEjnrEYA1EUOah0FHXarwqrDG1dc3V+yZvXr/B8yZMnD4nTlLJRXF4tKMqCvKzQxpJmKbODiYOIWojjGCEsdVnRNA3gyGuquqQot2w2OZeXl7RakSQR09mM6WTMbDoiSRJnD9sWCWSjDGM0Dx7c5/79e7StRmlDlFy6ZJ0nubl8w9X1giyb8uDhY3w/wHT9g1YrTFNSbxbU21Un8u6gmOnY9dV50lUGB9LJfn62jshFYijLLavrK1RVEngKJQxaOFsnRO1sqxR4QoJ0EHusJvQj4jAkCgM8r7MD2nSdFdqxxFclm9WKi4tL5vMl0vN5/+kjxpMD0jRmu93SKk0UeGjV0DRlp0lbEEVOZzfLRvhRjJAeyoLVGqs0ulWYFhC+C56Fo+80wI7ghm7qv5Vq7t5FgzQttFtMeY3aXiPaHC8ISGaHjKYHw7iTfsema0w3D2iH/Gm+G0XxncHiPoRPdKxTEm94SD0Vseh074bgr3NyRAdT6F110bEfic7Rcuglt7Lp5Cm0GXgJ+vf0Vtpp0GPpzssdyx1lgJF2+/J7x4OdYdz3v7rxBv1+cJnYwQzd9aruGsu3XKq9FffCaduUJGnCo6MxL6sVk2zE9vKMm6sr5jdLzjcls8cP+eeffsjLlys24YR8vWU2m5EdpCwvL8i3Oet8A6HPex885vnrc+I4IxQel5dn/OHFM0hTnv7oM8LAwRxCobk5e4lUW7ZX51zO58gk5sP3HvPDj3+AWG+YL7e8enPN+Zslv/r7P3B4eI8Czcm9E37w/vsU8xuKxYrXz1/w7371a4JHp7x3ckiUZrz/5Cmr12dMDmcEvo/CEIY+k+kY4QmEVlTbku22AN/nYDRDJh6P339AqFvqckM8GqOqioPDEX/z1/+Im4sLzhc3hAcH+MJgpGOh7ZNBEhBKQ1vRlCUaixCOujg5fAx2B9/a0zcYnFcBBFqx/PIPFJtLHj99iBd4JFFC4EuixBmMNIkRVlPlNW1doqscLwl5+NEHxATYVmO9DmLQthilqLclm6pgc73ly+cvaCPL45894eP3PyCVEfV8y9/97hJrNVKGrFc5l/6KuioIJyPSyOPg8MDdJ1wPsCkbmsZVjusqp7EGbzwlCE8x3hhhBWEYYpRmW2zhfjJMadr2d2DHkiWtwTclvqdQWrFYzAknHsfHh2TpjCTKiIMQVbXoqsGIxrGSNYa2qCm3BZvt9ttMxp/ssg9BdzbK7jlVfQCzyyL1JCzAgGAS+zu7E6j141f0xxJ0MJK9de6msN6KJgeLMqxrhy3vWDm7f+Z3d2qdg2S77feqz24zO1zXvrXs9+vuhejuQ9erI7rJSrcIq3DpXFcVcigRAcIjjCKiKCSKQsbjMQfHxwRR4tiQpYe2dBnl/w93//Ur25Lnd2KfiFg2vdn2uOvvLd/F9mQ3hzM0GAKjkTR64YsAPehFz/pbpCe9S4AMNIAEjDQEOIMBm2Sz2N3VXV23rj1++/Rm2TB6iLVy73u7eRsQRxC7FnDOdpm5c2dG/OJnvqbx1BWCTreLkIq6UaorG6GXXgNtDBpPMlN7CGqR54SBIk3SxgPQd6S1rtkXJdu8ArZkRUVVloyP/HsrAYzj5uaG1XLJJx99wE9+/EMG/S5FVXrzauuo6tpPIKQgVAJpBdL5vVUXJXlVo6vaQzlVSJp26XZ69AdDzs7PyfIcqRRFWXt+ZFmw36ywdYkIlednNB33Os/YLRcU2R6cIIwS0k6P0/OndPoD/x5ZbxbVcnZ8ou+BTM5ZbFVQl7l/js3k8ADRc836dY1fpfLw0ygKPdQs8MkL0heKYaCo6pLrm2tev3rO7eUFYOl1ewxGfdJOF6X8BNhJyfXdDGqNdZaiyCnKgqwokFIxGo3p9vokaYpUEfagjqgpi4r9bkeWFwRxl6g7wQvaKZ8sOl/cub9CMvZ+yo2dOc7V4CqcrQmwhIH/+1q7FSkD2hLfv3QWawxVsefu5prF3S2/btdDQNR9AdXGjPt68ZtBTBwKSHu4x33O1ySCD85amvhyCJP3Baj4ZgTzz6Mt3L75vA6//uHj/XXtLsGBevHwmf+VkvNhnD88jG3sZf7q7Q+vhbj/2jloGHAenh3HJNSEwlAVBXe3d7x59ZrVck2v12M0HtOfTEj6I+K0QxglCCmxziMPyqqiqhuRPqEoK01WlEgVkpc1DsloPGF6NCVJ4sNeL4uC2c0NNzfXqCDg/PE5w/EAgHK95+p2xs1szdubJWenJygV0ev3aEXurDUejrpcsssyBv0eR0cjOmmMrkqynYdGxlEMMqaTxL4QXm/Is5yqKKirCqkkdV0TKEka+/yp2+kQJ+9z/uiM5WrN5eUNq3yDdmCqCiUgVALd5NHGGnRRkK2X1GWBQVJYh4sChpMpaaeDlA5r68ZSycf01j9dCT8ZK/M9WlfEaUoaSwLpUNIRKEUURSRJRBqHhKH0yvc2IFDQ63WIk+gbSEzPhfbxINvtuL2+ZnZ3R1XVDEdjTs8fM5yMkQjeXFwSBappWmq26xXW1SghCOOQ/nBIt9NDRTEI5W3wjIa6Rhc5ZVGhbYCMewgVNzG6IbZJz510rQp0syDv9ykoZ1G6gHKHLjICa0iSlLg7IOoNCOPUC5c1AkGeJ1s30FpvC7ff7fj4r+6sw/U3wFDxu1e0ZNL7TegehBkPGxW+GBReZc3vpZZH0d72YJTRHGRNgtJ2ru735AF/7pO2tuhzfur48Jm0prwHNmSTND1M2JyfOt4nW/fXIWA1N78PN994Eb7R1XoYkB52q77x/J3DCJDOYfKM09EAYUtOpl2q1YzVfMZis0MHkh/95EOePTpjfb1iua8ZHfU5mk5RCLabDUGSkgrh4Za7NXulmI5GjIZ99ps12W7H2ekJYVlxNJkCMZGwVOsZw+mE1ZdXrJYLksmA9z98n1EYYPZb1qsNz19dMTeS589fc7vZ8/TDj1FBB6Rgs1yhZwvefPWcr9+8YWlr/sFvfJ9hIHn87BmJiBk5yfNffclivkEJQbHL0Lpm2O/SjWM6nYT1fM3rV5dcihuMcGTbghKoKkmaJJS7PYXWBElCHPikMQklrq7AOc9Ndvcrx5Y59X4FQiNdQKFrSil49u7HKBH6dfYgEW/frXvGnmC9XPDZ57+CwCCFIAoD0k6HbrfDaDLg9OyI6XjK8fkIUdfMr7x5bChDlAQlPR9RV5rtesN2seFqfoMVDl3VpEcp7zw75v1336Ub9ClXBfvlHkNLmNasFxvu4pROEnB+dsS4O6CX9kjjlCrLqXVBmVdoZ5FAXWhW2z0rUsTjHrEIkdYidYa2Fd3RKTsnD+tQ0jZ8/P19Mqlx+ZZdsUa4mmSQMH18wjjpewEd4aEOCg+RMdZQVSV1bdlt9ixXa+a387+yQ/7WX/a+kXTf6ml4UDQJUtMJE4J7qx/aiPBAfsndJxnf/neoHHkQSR4kaSAeJFcPsjr3MNp8+/qrEe0b33cPo9OD731rIulc07F334qxNIzs9vtNrJQH23iLdAbpNLgaaXUzqfKForX+9ZFCEYXSC4r0UvrDEf3hEBVGiMaL0FnrES1Ceh88FZCmHaT0nojaWOraEMcJ/V6POG69rwy6mVwGSpIMevS6XaI4xheKhspYbhYLrm9m7LMS6xy9TofR5Ih9ViCcZLPe8MXnX9HtdvjhD7/PcDRAmzaRk1RVTZZ5A2Ul/d+kjEekhFKiK8N+l1NVNViHwbDfbnn16hX7bI81mn6/j9aa9daLv+RZRpnnBMIRKz+lVM7iKsN2uWQ7n2PLEuEEYZIymkyZHB8TxjHaWe5z5Hu8jmzXoPPca1NVPiYIiTel92exhxd7oQdf3AZEYUAUhigV+MKq4Sk6Z9lsN7x+9YLXb15S5hm9bspkMmE8GZN2B0ilqGtNXpSNt6T3qd3u9qw3G6IoIoxiut0+g+GIKPKel0L4KYrRmirPmN3ecnN9jXOC0yfvkfY8FMuv4YcG1W1+8VAnoJH5x6KsRThDIByBkA2HSTYcJnlotciDsJLnom63W2Z3t2TbX0PIvVdkohUGaa+WPy1aXQZ3f3NcK1boJ98436BoOYxwH13E4fMHRaH41q/3v/HBPe4LzEP+xoM7PvzQNAha+P/Dpl4bmx7+TfffexBD20YJD27/rfveL6gHPzjYNnjVTBUo31TRkmK35e72mqvLK6qy5Oz81EPPpfLG80IQhCFBGPiH08LDB4Uk6XQZCUWcpoRxSq0tVpfssxIVhEwmEwb9XqPY6a0dlvMZ89kdcRQwnozpDweoIKCsKuaLFW8u73hzOWO5K6mtz7m3+z3b7RZwbDZrrm9uWK9WTKdjPnz/GY/OjwmEn3Zudxm7fUZdGxyKfZZT1179OA4D6rqiruomtgviKOD2ZkZV1oSRR3R0el0GgwHL1YbNNieUMWm3SxiFqGahCClwzlBmW/abhY9XCEoDcZgwPjomiiNvHN82MnmgJSL8901VMLu5YnF3Q0fWmDIgDARR4PM7h/fDVco3LgPpCAPZFJDxwdcSWqVTH5vXyyV3d7dsVivCKOL80WMmJ2d0+wMcgt1ux2azpdYaIQR15X0UO70OnWGfbq9H0ukShlEzUXQNzzOn2K1Zzubss5KoN6YXJyglfKxzwjfHPMHS7zUhvrF3XLP+hdUIXYAucDjCTpekkxCmXWSU4ILQD/UadeuqrqlL31jdbrastzv2u++OdX+zGuqDpNs2Xx4SH9duRtH83DUQ0Ycb3xd+3wC0trLrTTfoAJETbR7VhJhmmnkIQm1+c6jd3H2+8+BXOprEp11Uh47Ug6Sv/f0PAxUPp5rfBEncF8sPOEni4a3cN/73H306lfa6OLMiy5a4bE2x23E3m7G3NU/ff4d3Tk+olmuur+bM8oCjKAQBcZoSpynZfofEH5FxoojTmLSzIwwCet0UNZ7w+Zdfsg9TlAgRKoaqJO1EJJVidnVB99ER77//PjGCarNnPV+wKQ1fXsx4ta9ZbDNKa3ny9DF1Zvnyi694Nkqor+94/fYNm7rg3e99yDhN6HY6JEGCqh11XnL58opNlnM0HUNdsNntuFyu0dYSJzFJEIIKyEpNGAXcXd6ywlIVNd3+W/rdlCiJOTpOef71C1wSotdbpsY202nf0Q6ajlK1qamLHdpVaIcXswhjhtNHCPvgzT7o07rm/WyMXIVg/PgJj1bvIFXlVa8ExFGErQ11XvH6+Ste2ZdeACNSvPfeOe89eurhZVISRBF1kZFtdmw3S9abFev9kt7xkNMnJzx99pRB3AEjqQpDXdZsZms+//wLluWeVI6orSMZdXn/2VPOJ1NcZYiEosr2lEWJMZqqqijLms18w+XlLW9v5mSDEe+efUIkwNkaKS3dtMeytFRJcChAWt2RVkCKxrRbG0FV1xwdd+l2JoyGI5SWOGqwlkrn0BSKurZUpTfb3Sy3LJdrrm4W/PpdD/bxITcQWCcaPke7dA5SSzjxQMq/qaKcu+dtH66m4KS9LbKJc22E8rdplmbzdO47iP5xm7RWtEnRwySsLVf/6l9ziJ8Pcq+HFAJ/m/vgecBiuAfFrzhE5MNj+EmMT1wEDuUM0tY4U4PzWBLbxnwh8LYH/rvWWqLYw5rSTgcZhl7MRN7TFaz1MFQh/TRSBapR3PQc5eGgT6/bbQzhHdb5KWaoBP1uShBGxIn/iBC4qmZ2ecdnX77i6uYOrS2dTko9dNzOlpyvtuy2e16/ekOWZ/zGT3/Mu+8+9UmxlAQiBOfYbXfs93us8S5hovFnCEPFoN9nMOiRlVVjMu0hadvNiudffcnlxVvC0Isn1NpQlAVlqamdQlhLGofEYUhVVaw3OzarNTdvL8jWa6R1B8uNsCmwrGthSu6+QSHkIUl3gLPe8N7oGiU8pzJQzQRRCv8vkASBJAwVURQQxyFR5KdvUnqkhrOGzXbDxZtX3NxcMuh3OHr3KaPBgE7X22kgQ+rakOeFn+Du9uz2OXlRUWsNeOXG3sDD7MMoPjw+GJzW5Ns189kd15cXrBYreoMJSiqklH49fess/3b75H5lN9A04UU2QiEJpUKpVgTnW7vF+W67c9ZbF80WZFmJlL+G5hmN3Us7G7yPKU3WctjvDaKnSaCFl5AE59eYcN5HVArxrfjgmnrvW1iJJnYeUJ8ParBDTtVEjm+oN7fxprnltxUI3Lc+fuP6dgHIfQHrHvy7LxybFoLjG7e7byG2fqS+QAoRqEqTr5fMbi6ZzxcoKXj85BHD0cjb6Kw22NoQ90deSVgFnosLCCmJoojuYEjU6RJFMXGS4oSgKmuv3KwC4jhBCOk9aampsx15tqff7zKdjojTFFRIVWlubua8enPFar2jrDTGWIIgoK5K3ry9ZDweE0UBq9WS7WbLcDjgow/e4dHZEVGoEE5T14b5csvtbEVRaZAePVIVNVZXDKZDuknKclmRF6XnPuuAy/KGi4trHBDFEePpiP5o7J+H83Yg3W6XMFBYU6HLirIqyTZr1rdXVLsN7eTUWEcQJXR6XkXZ6YYEJxoF5qb+cNbhjMFaja7LRofBgTNYK9CmqTkK0KahNkhIY8Won6I6sbcJava6NoaqLNlttiznCzZrLzw0PfJWIoPhmKjTAxlQ1Zq8qJgtllSNkq2Qik63x3h67JVvG29hKT1P1ZmaOt+xWy2Y3V4zv7vDOMkkTFBCIqVq2vv3+UJbLN5HvofdjkYrwFlvkZKkpKki7cSIIMapRqjMGoypqauaPC8osj3r1ZrlcsVun1PV+q/bQYfrb5gsttvlPpCIw/fvCzjRFo3NVjxEcycfPFLT+2kKRHv/A784Dh0gH6DUN3Z5Ex7EfbHWFpPtI7fUzIcw+vZn99/65tFyOFgeQk8f/lw8vN237nh47h4y5cR9OXzfqfK/PQwVertH1Tv2yzuu3lxQKfj+jz7haHSCyQuWyx3Xm5KTd58RSMV2tQYHg8GQfr9PHEbcXWVslmukcgRxwOnpCaqyfPH6FevtlvS9x2DBRhFpmqLslsuXz4mOx3z40Tt0ZUCx21EUFVc3a+RgxFev76iHfQajEaNeysc/+IC3v3zNq+ev+VUXys2OwdEx73dTpk8eMRwMGA/GhCjKfMN+u+b6eoaWgs16TbHbU5kaiyWIY/7gP/l7PDsa8+rFS3r9Ma8+/5LXl9dIGXJ7Meerlxd0eh3iOObpBxUiCtgs1xwNhqgg8QpVCF795Z/y+c//CBmHTHoJcX6HByAIJBHR8buknQHSNExbB+KwKvy7IptGhqhr8tkdaaTojEYIJ4jjiCSMiaOAOPZKZkpAts+odM5kOiBJe0QyQGiDlQ5hPVwpL3bYxPL+j97n0elj+mmHUEbY0lBpja40xXbHcrHibrFkX5X0opDesM/xyTEnR6f0gpC83FGVBcJaqqrCWMt+teXqzTUXr6/56vaW7nRAJxihMAgsSlik0Ww2a6LJxPtwupakb1E0zRvX+hMJhJJMpiOGfUGoFEJ7yJpxDlcbjPaei84J9uuS5WLJPttzfbHgbrfDCsuv22UJD/vc85abZOrhBFG2SY3zkJBGbMMdXmOLa9bkQyjXfXLjEy3EwyTqPmXxK7edDrU/bby9hJ8APYRF3RepzTfax3Pt1/5g+XYZ2SZFfOt3tfcV4j4xOxSih6xONEfVQfbHp1DOei6s8+vy8HcJgZC+GSNdCxUtEVISd7oEcQRKeYEWaPg4vjDSxvtsBUFjxC48JD2IApJOShR5/zAweC6K8vxFbMNR8e9Nnle8eXvFLz/9govLW6pa0+/3GA+HdDoJWV6wXK5RQlBVJR988D4ff/wBaRJ75b7GmN5ay263J8tytPZfSwFKCjppyqPzcz76+BOe7nNGX73g8uqOxWbLer1ht8uRQdAIuoTIIMA4R1VZkk6fyWTEqN9jl2d8+emnXL1+yX63Q2iNrSqM0TgLRZ6zXi7ZrjeMTs9BeUNtb6rt7TZaCxEBWGeoyhys9mqmTXEYKXzXPRQEYTNNbLzFWnl88ObjtTbs93uub27YbjacnZ1xfn5Cr98jUiFSeiGa2thGNMexXu94c3HFerun2+lyenbO6dk5aSclTjooFTUNB4fWFXVZei7rfMZuswZnGI0G9IYTgihuzJOaNSp886S1u/L9avfwFggsQjjPUZSNmquwTb7VwvQt1rQyDxLhLPvtjsuLSxaLBUEQkETRd4WNv5WXFAohHN4LXRyUR3323fiV2uZrAQjZTCV80ipFc7Latql/H9Nc2/FquGjfzsNamwIfQx9wZu8zygcx8MHEkDbePag0m0scYtF9g8seMtdvPnZ73cfs+0dpP7YF9DcmmP6Va6xb/M8lFmVL8vWM+eVrsv2eTrfDcDyiP/RTp7vbGcvV+lA4qCA4PDPRQMKDMCRqBgteqVM2XrJefVOFESDQ2lBa7wWL0Qz6HbrpgF6vi7Gwzytev73my69ecDPfYIxFKcFkNODkeMpsNuPq+obbuzmT8QCcYzDo8fTxOcdHk4ar53lsy/Wel2+u2Wbl4T13gLWGOAr4yY8+4aMPnnFze8vl1S03N3fstzmr9ZbleodxoIKA1XZPb7BFhRHaQBLGdPs94kBy+fYtX3z6S9bzGVZXhMIRCAPOoo3nPBpr/OfOUVuPovBNOr9OpRC4Rh01ThNOTk/oyIpxGpCETYPS2cNH33CsEc7QSUP6gy69XkoUhwiaQrGq2Kw3rBZLyqKg2+1ycnLMYNBveH8RQgUN59uxXq+Zz5eUVU0QhPRHI47PzugPRqjQc74dXhxQ1wXZbst6MWM5u2W5WFCWJXFnQBAmoCIPohfiHhotxIMzuUV5PihCmil/GEg6QYduGNGJlVcPb3eE1ui6QpcZ+92O7XbHfr9jt9tTlhohVKOy+++//obJYhuJ2w37zYB82HiHQH3PEcTdA0PFYRNyKKDuEVbfTo/8Jm1how+DDM0Y+pDsNE+ijWv3pWT7Od9KqpoUqB0T/Hu6Tve9pPvu+4Oy+fA7H/ac/n1XIDSxXlFs5pT7GeV6Q21LPvnpj5mmA7L5nGy7483bGX/6+St+8+k79Pt9hoM+GEuVZ2SbrRcoMCWDUY/rq0u2lWC/z9nfLbDCEQ56XonUVKgoZJAoFl+9Ihx2+PjJR4g8Y5XvqPKKr798SaVSfvFHf06lQpJOj04SosIQV1WYsmC92PCLz1/wk9/+CR8+fUa2XJCkCb3+kFiGVFnOZrHmbr7hersn6Q1Y3WwQUcC40yfPC84+fJff/oPf5qPzE37rJx/RPzqh3uz51aefUZSG//r/8t/w/L/7I7qTAUknJujFfP/JR1y/fkv8+B2Oz94lUYqrT/+U/+H/9n9Ahn4jr0Y93j0eYHXNdp1zsSwY9I6Yv/qCk7P3icL00Nm/X7P34khSBdQI8qrGZpZht0tVVQRSUC43WGEZTUecPTrm9HyKq0rC0JOilZQIa8nuZiwWcy4XN8hewPGjE46PzhnGQ3RZo21FmZdUpgYtqEqNiiJC56cgIgx48uwRj6enxFZQ7fbk+Q4VheisZLPZspqtuZkv2e637FXGB7/5Dh998CHWdqnDCIHBZt4j8eT8MddFgKOd4LSbr23eNLvGOlQI/UGMMhXOGEqT44LAQyO0IVvv0aJEWLh+NeNmPWeX7SGOePLJOX3V+Y4V/7f0MhWtUXLr63XY2YKGFO8apUCHbWNekyuBn7Q556ffxvkCQ2Dvm2OHpOxBUdpc9wbNh195KDF5EOuau3/TbuNwj/YG3zxIHt75G/dzPklum4EHP8BGcMwndP7r9iEexlTRTl0xQA1OIzFepVrQGD9JjHQN392x35as1zviNCVKOwRR7A/7BuJqnQEhMM5S1brxFFT3v1t6n78gDBGyheyKQyIbRhE4S1nX7HZ75utb3lxc8fz5KxarDWEYcnpyxPn5GaNBj6KsKKuK1WZLv5NwdDTlnXeekCYJ2jQy7XgRgLp5zKqsPDS1OcukkwQyYNDv8+zZMwajKb/5W7/H3XzNq7cXfP7Z57x4+ZLlatXw+21zBgkCJXj25Akff/g+nTjgl3/+Gf/6X/wL1rNb0iRiOBwSR7G3EtGGfLtjvlhDmDI9e0RnMvYNBWd88iTFfZJrGy5QVQDOTxBD5SeIelrR2wABAABJREFUAcRNsaia74VhQBgGqMDDM42uqa2X9Z/NvMT+8fER5+enpKkXafBTR40zxismlxXb7Z6vn7/kzcUtZWV5551T3nn3PQbDkYfiBR794P0wa4psx2oxZ7laYuqKJIkZDAbeyiLqI4IYY8EIDwd2zjbNZef3XjOx/uZJ7DnaSngPZykONcz9WnJ4TieAqdhsNly8vWK+WBGGAf2jIaFU/LpdgfMJuXD4mEfb/PEFlGzh5kLcv25t3mdM0/yR3s+3weS3zX7jbBvcmjjlZQZdA5dui7972SzpvVF5WK418GBxf2a3V5tDfus7D66Hja6H3/ONM9H8XW2Dy8eyRuzECd98voeRHIpTP6wQ0Dw3iUWZgno7Yze7RFBz9viM7mhKGMcIIZjdznnz5pJaG56+NySMYxDeaL1FA7SFgNEVZZ6BcwRBiLFQ1X4qGEaygbw7AglxIAlUTKL6hN5Smn2W88WXb/jlr75kneWknT6TyRilJI/OjzmajtjttlRVjTWWNI5JowAlYdDrEDaiLtZZ8qzkzcU1by5v0dohG76yb8jBoN/he598wG/99AcYYyiqkt0+Z7ve8vbtDf/2Z3/GL371Bbu8JLRR00zwcPbeYMhoOMLWBa8+/wWf/ts/wpQZSZIwGAxI08Rzhiuv3jq/u+X1q1ek4xNQvmj2EGD/HjnhcRTOOazxNhj+HHYYY1CyRfU0jZHGJzaQIf1uQr/fpdPx75cxmjwrWC6WLBdzBDCejBkOvLCQkn59tHK5DketNReXVyzXa6paM0lTnj57xmg8RoVBs/YdpvbaF9l2xWo+ZzWfs8/2OCHp9kd0h1Pi7hAno0OQOoDkWq6heFBftSv7gEjycTWSEXEokUo0e9IirMbWJXW+Z7des1qtvP9t7afWvV7XN+++q5DhbygWk80rcpHQ6aZ+bB6k6KomCUOMLkCluCDEOL/x2i1pkE13xOGdP+7VKGWbg7kHRVvz0j/ojR9607ZJlFqR12/4mj0MBc2X98VkEy4OSc6DouEbwaZ9BPegE3b/RA4Npvbx25t8q1l1H3Af3BlH4EpssaCThGTzDbsi58f/4B8y6Y3Yz+bkuWGz2PPH/+bP+OCf/BO+//3vo3cVL758QdJLOT89od+NCSipC8vnn/2Kt9cL+k+eku32REFMp9/nLp9xenxEscvpxiH7xVuOnz1lYPdUq0vW6xW7fcbr1zO+fjtntskwSvLe+4+QvT7b3ZYPP3mfYRiSbZdYG/KTP/hDfvLOKWK3RQvBcDgmlgG6rMk3W65v7rhdLLlaLrjc7wm7CcM4JKgtN4sVxZcv+Of/zX+P+Md/n4/OTrh7/YajJ4/50Y8+Jo5T/vB3f8r/5rPn/J//7/9PvryZ8ez8MakMiKOE0ZPv8+jJx6RIXv38XyOkQeuSbL/h6LxPEEK+q7m7XXC72FJqw7+8u+GjP/jP+cFv/yMiEbb9u7/ynuIMw/GAuhrRHUR04oDJZEA3jQmcpC41by8u+ZM//lPOH0358PEpFI6y1qzLGluXXL94wcVqRue0x48/+pBR2iMQIU2uS10UmDJDlxW7VclstuPu9o6b9QLdgd4g4t3HZyRCocsSaS1lVpGv1mzuluyKgmyd8yf/7ue8//c/5j/56d8jJQFidmXAxsmm8asZDYZcfP2c6uyn3/gz/d/abrYW9gJx4Ld9p5sijKUqSrSu/cGpNbos2GQrVByxr3NEIuh1u5w8PePRyRPq+a+fUbXM3iBVgCfIqkOQblKJ5rAWh6mj5xF4SJuUEqSHUvooGGCFwinZFIptjxvfjWyEW+BBLLkn8tx32g/r1sKBi/rNcvLh54eWiLsvNEUblb5RXLYBTTSP/Y2fPGiiuQP0v42YDvkAPtY0IJxtRG004KEwQnlYqffSrXAGnNGslmuW6w1PRmOSThcVRl6z0viJlLGOWltqbSmquukmOy9fbi3GuG+iWA4vnWgKyYC6FGzWW16/veLN5S2L5YZKa06PJxwfTzk9OWE8HhGGITe3c25nF9zc3NJ75ylH0wmj4aCxiPD8DvBw0rosybK9F95pcJ9SSaI4JAoD6rpkv9+R9AZE3R7vT0/43k9+xD/9z/8hd7c3/Ozf/Yyf/cnPubmdQRARByGTyQm///f+gKfPnrFabPjln/8FF69eemNl0cHUHUQUYawlz3N2uz3brKC2jqfvv8e7g36TBKmDeEFTBeFc05nXnkOqhJ8qxk2xGAUQht478VAoKtnAvAy61hRlxnq9oq4rjo5GnJ6e0u/3vECHbQpF5/nNVVmw3WW8enPB51+8YL3ekaYdHj96xLA/AARKBUghqaqK3XbLer1ku15R5BlCCHp9z2WMkw5SBmgiXKD8ZNE6nLTNFLpZga5pdwjxoAHtz3Jf6LgDdPwbky7nzTadtZRFwXq+4Obmls0uI+32GU8mdLu9++ry1+hyWy/acy+eAa0ViWck+pjgVY59w8lajTE11hhElKLiLkJFWKFABLSCI7i2bBf3hVgTfnyDqWGbNeGnFRFpKdke1d3OBeFBUPRfPeRYPvis0bJtQqE7FIT3OIr7aeXBq5t78Owh3rUNBXdfjLTPox1ISOEInMZVO7L1HdbknJwcMTw+RcZdtHGsFiu+/Oo5L1+95Z333qc7GGGdaDiPbSzzwny6rinLkizLEDIgTq0XerQGKT3qqZPGdOOYKDBEUkNdIaMQUxUsVgs+//Ilv/zsOVlZMz464vzROWVZsVh2OTs9JkkSEJK6NqgwoN/vIaVF1/WhKDdGY41Hfqw2HoEWhB7V0U4Wg0ChlCTLMrbbHWma0O/3mR6foALFb/y24vf+8Pf443/7p/yrf/Uz8soxPTmntgG7fcmjx8/o9Xrc3dzwq7/8BevlHWmgEFHgOYzWUpYlRZGj64rdZsuf/ezf0hmfcvz4GWEY+WZtu8rk/ey4Nprddku529IVESJwmKaYFE3DN5CesyiUakSuPCfQWMtut+P68pLlckGaJJydnzOZTIijEGctdV16qLp1ODTOweXFJZ9++hm7XUYUJ5w/PuPpO08Jo7ipb7xCd5nt2ayX7FZz9ltftEdJh17aIe0MiLtDZNr3KJvmjD1QU7gfU7n7xdrslcaySUpCGRAqiwoEQjVVlDXYqiTfrVgt5qyXK/I8x+I9ftO0ex9rzX+AdcZo+y8RiyVJ0mOzy4i7AwZJQJbvqCpD5QZMJyOMdvTEkgG3FIXxXVgTEPSnbIKnoCKCKEZHAxBx05G21E5SRiNs2MMajRIK0L7bJH3CJZrD4Nv6DuZbHaXDAPWvK/babz4I/N+89/3B880Q1ASV+9h2H3pcW7fK+zfwwfNrP5VYRpMR3M3ZVRU//P3fJ7Swurxgu1xyfXHBq8sFF5nlqDJs12tOJkecPzqhKgqWtzP2qzWOmjLbMT06onYCLSXT6ZhiX7C7yQjSIdIphIiIhIce9MhY38yoswKtYbnYcblYwCDmD37wDtcXF3SOnxElHZ6/fsOTp494Npnw51LS6XUYjgeIsmK929ObHjEZjNBZRr7ZslgsiSZ9Bqs9pqxJOl2iwEueGyk5ffSY3niAqOCP/vs/Y/ej9+kGlpKQk2GPxZvXxIMBp+cT/sGPvs9i9+9IE4XNMo4//IgnP/4dEhVy8+lf8vrTP8Epw363Ji9yut0eTtcgHNvNFmdqkkhgNnN2t6/I65wgCr3IA3Avte47+qKquPzqV+z1nMWi4ngyYb/aEqeK4aBHr9vjybuPeO+jd8AUCFf6xF84tC6py4LFfs+TH7zLO4/O6acDIhWgLFRVhTU1da09nj0vmM82/PLnX/DHf/7nXNYl56MjfvP3f5NpbwB1iRGQbzJ2ux3GVuT7nHm+JxhE/MN/9p9xdjplNDgisiHFpqCuNFXsCHHESrC4umB49oh9mpC3f/NhLfpOvD8qDUlo6IWWNAo8hr4EYyRVmVPke7LNlirL2G5W7HWFDRTjpxOenJ+TBCnKRVh+/YpFZn+Bkw0zWHhjdp+8uIPBuTkkHU3x7bwfmwFv5K1iUCFOBECACCJQEVLGICKs8NNpz55VOKm8GqMKEc0h4d+8plPf+MkeJliHKs535Dk021oQ1r0Q2f3R0hyWB6h9U1wdHsodfkXbWHkYJdv73EPFfAPPAsr6xEtiEGjv+4VrpnGBn9oY00xrLUWWsVptcEIxmEyJOx3/OrfTWuf9piqtKStDVlZo7QtI3cAba60xxlFp33WXtFZNxhd0RUm237Pf7XDWcDwZcnpyRKfXo9vtkCYxaZIShCFOCBbriDzPWS3XJJ98yHQ6JoxCWq67EGCNRlcVRZFTVzVKtN1p6MYR3W5Ct5uw36354rNf0rm8pDecMB4fMZmOOJ5OeOfpKXn2MZeNF5oRAaPpCd/7/g/58KOPCYOAL7/4jOdffUFd5TghqOvAw09d68eWk2U7qrzg7vINL776gvP3PyDo9b7RGKVZB846jDb3nohKEAhv96FUI/YgBaGShIEXsxHCNzO0MxR16SHDAk5OpkwnY5LUW/RAO3XyPnNVXbPLMm7v5nz+xQuubxdYJ+h2OpyfnXpOY3OWF9mexWLBYj4n2+9Q0tHtpnS7XdJunyBOUUHsV7xp9sLhjBYPFqg7rJ12XdOsdT9VtKimYPQTySYbsAbn/FQz32csZjOWiwXGWI6OTxhNj4njxE+vfw2LRXP3S3DS84SFPJh722ZqK5057HTr/GulrUFXmW9sxj2S4TFBOkYGiSc7NKgMJZSPo0LhmhyORlRJSA/HOyAxaGaIzWRSCFDCIUWr4e38lAgBzrQt/aYedE0BIz2aAefh160AmXCNcJNtzsP7UURbNspDY8FvdNsgKg6c1gfQZmi1bRyBtISuRpgM4Uq6vZTucEgQhVhnWc4W/OIXn/IXf/Ep2gl64zFBFPnHcgZrHbo2lGXhUQq6pqxKyrIk7ZhmWTuMtgRK0U1T0jgiCCRK+uYZ1lFmJfO7G64vr7m7uWU0HvLuZMpoOqLX71NVmqPjCUcnU8Io8nBI5xVEVSCJQnWIA765IsF5leAwkHS7ngfp/PbBOUEU+nPxsy++pigLpuMh48mY3mBAbzAgThKGoyG/+Xd+wnK54tXbO9IkJZEpUQLnj86RUvLm1Utur678NFD5X9CiOGpdo+sKUxeYquTqzUsu37xkevYYETe2YI2AimidEYS3VcJZkoZzHYe+8eEaPjvCHeyOWh52XXl/7DzLmN/dkGc7Tk+OOTk7o9/rezVoZ9GN2KLVGutqtLHc3M7543/9x7x88Yq6NkynHb73yccMRyOss1htMVVBnm3ZrpZsN2vqMkcoRX/UI+kNCJMuYZRCkFCriIPFRLMGWtTmoUl8KGV8LJNCEACh9Oqy8gD/tjhdYeqcfLtmNbtjvVx4a484otPtk3R7BGHsKRHaIurvzuu+2zrDCW9eG0smQYrBoAR0Ys9tmM+XiMogqj29o5hhZwo3tyi9QVtQWmPKDBGEqDoiX9SUxqBxdJIeoepSizMyNaXYrBikirrIkGkHdfQhxL4b2Qaz9rBxwv6VRrnFt4REM97/K39Lk2h9Y5rZdKEO6dWDE7eFhDnup4rtOdXaazhxn6Z9+0zxgdD6g8labL5n9PQZcZRid1uy5Yybqzuev73h7XzNT/7wt/jxDz5hkPSZX9/xOn9FN01IopBAOYosx0rFZrVlm5dIAi4vLii3W2azBY9+8rtUZYVRkfe0Mju2yyvq2svDz26XXCxXfO93f4N3RiP2FxfMe0N++x//I9RmRRyFjHsDwiDgvfefcP0XL9mvNiwigUwS3nnvA0RZkW02bLOc4fk5Cskv/uhT0uGYyfHAw/SE9++RoiEpO4co9vy3/49/znQ6RsaS3/rtnzIKJduLWwIkyyLjaDzCbTJ21jKeHDMYnRFox8//xf+L5WaOTAPQFVVdoiKFKSv2uxznDFHixWbSTkqxWZAVOb1o+K2OgP9C4UBXTM8mTGRAvxfTTSKqvCTbZ1xf3KDtJUm3x2Ta57Qfs9+vkIMhYRBSFt7o9cd/+FucHk9R2r//EoHVFeiacrejsppyWzC7WvD1F2/5kz//lOv9jrgX8s4P3uO9p08IHEjr2C9W3M1nrIstabdPZWtcYDh/dsq0NyKWAaKyOAxVrtnvSvKgJIwrqmzByfkR+32NjltORZvm34+/BRBIGEYVPVkTCoGuanRVUWvf+dqvl2yzLXmesy0zumd9zk6OmRydMOyMsZmh2FfU5XcTof82Xm5/yT1MQN3LTNN0qUU7URMNesHijMb7uDViLsIXigdujQpBxViVYEXooZZCNj5KASKICZIeQdr3cMxmMolQPpGzjSoaNJ173/d3DwKcT6geBB93H8GgSZ64j4n+YL2/4UOIvsOBfSgf4ac4Fnkonkxja2GbOOohZH5S46y9j43ONcqSFmtqdFWy227J88zLyU8mqCBs6Aa+a2+toTaGqtZs9zl57k2OrQNtGkuD2nd0tfETM4wvvbE1ts6p8j3GaEaDPsPBABmEyCAkiCKk8iI56qAuJ+l3UoJGja/b9dzphwIothHVqeuK3T7DWkcURTjnSOOI48mATppgjWa3WrOcLai1nyZHUcxw1OXo6Iizx4/JS0223eB0jVASCfS7PeIwZL/d8MWvfsVidoezBkvzNzfvkTa6USX2fOK61txeX1PkBYP+gFZUqN3v7fuh6wpdVU0y3ZJuvYCI8Avr8PcaY3DWYPCFVKVrokAxHk4ZDPrel016bq9tJopG++e1226Z3c55/fqSt29vKPIaCwyHQ46OTlAqwBpNob3P5nx2570ye136/S5pxxtFC+EnGa1okTEGCL0FovDQqlb0QYiGX/dgKu877bbhJzZrwz+ah/9Z7Zt5pW8qbNZriryg0+vTG4zoDsZEaffQzRctcejX6DLrJtY1EFR7GLvS5EP2AQLTf421UBW4ssRUG7TZIdIZTkZo3Qp7CZwKmnghsDIEFTVw4hQZdpBhigwiX4TIe/VJ18Q2H+Wax3LNdARo8Rm0wzmcf4+RBxEv2TT3WrqSb4q12XXzOM4iG6qGfEAl8EUnPtds8k3hvKruIQ+kyQGlQ2oPuSdURGEHZICuNavlgk9/8RmfffoFVVXz9N13OT878+uUFi5p0HVJVeRUZeX9ZLOMIs8wg6FX4qxr6roijNLGszRsGjmNTsL6luXtFfl+Q9qJ+Ojj9wi7faKkC0qhVIAQAVIF9Pp9wigmSToIGZKVFcaClJI08TZGKlBIXMNp9krIvW6HtKOQSvnix2rKvKIsC65ubrm7u6MTxwwGfYIooNfr8+TpIyajIZvNjos3F9zeLhlNJeOjLmfHpxyfnmGd5frigqrIUTT+rs2019kGEN2oGCvhOc1lUfrXril2D4iYZtlaoCwrdF0TOnDGYmS7lvzEzDcC1MFazauW+piQ53ukEDx5+pTxdNo0xWTDwfZxyGhNVeTkRcFsseYv/vJzfvmrr9juSxCCZ8+e8cGH7yMl1M3QoMy2jY/uGmsMcdqh2+uTdvtESQ8Vxhgk2kq09QUswnKvPO6aPXm/F9qJuBKCQDhCIQgbmoxf/wZnKmxdUOy2rBYzNusl1lo6vR790ZhOt48KYxASayzGFA2K5t9/fWex+Be/+JKnT06pLXQCSVZU1HFEN40psz3DUY+s0EgZUTtFrS26FmQmpspr76MiJYkKMTXkVYB2IQQSEXkZ4PkXf8mL2wwZxZ4rYWump0dMekfEccdLwuLJ2E5ICOImYhik1QilfFB6kEDJljx9+M49BAHu8fIHQ8gHVbsUD1T8vkGi5hA0aAoh4b6JIfY0ivvk3OIDC6Yi7PdRhBSrBXWWs17v+dWnX1N2Y77/008Yn7xDTwREoaL36BQEmKLi+s1bVvNb9tmewnk/m7Q7oNPrEQvB5WzOL778mt/5n/4z9osFQXdAKAV6u8NmO+YXr9kVJeuq5MMffcSHjx6xfHPJLJfYwWOSMCIzFe9/8h79wZhBr8t4NMbVX/H1V68wxyM+/MEn2Kqk0DUmkDx6711CAi6fv+b5yzfoENJuQqoUdVGgq5La1v71jGIEAU7XvHn10iv8XV7zzrvvsF8uSANFmWluF0vGScDTZx8ShD0EAbv1itXVG4xz7HYbAIaPz4iVwmlNufddmjSIEMYSCkVVlNS69O/gA46Y/+CTqM3sjrcvXmDklqPjCcNhl24ac3Qy5cmTM9bLNbd3M+oManZUxY4gjqgMDM+OGI0GRIGiG8donTf2AAZjKqqyoqprrHCUhWa13PP112+4zLc4KehPB/zG7/yYadyl3mbs84w8y9nnOdvtjjKAJx+dcSYD+sMJiUwJhERXJVWVs9ns2O4tZVxiuhVhqMhWK7ZVCKN2H9ynjf4w9N9LVUVPFo1qpcAUFXmeUWtDVRVk2Z68ynGhYPruEU/feca0ewQaRA1VqSnLgtVq851B5W/jZer88Llokhgh1CFB9fmoT1CdaDiIjUWET2LuVR2t84ceToLJgQDnJNY6rPXtJeMEIohwnSGBnqLSDk4GTUxqxHOkV1YTeH6Qn+j4iaIVnp/aJjoPrYPa4xTgodhMW0S2BHnRbo62w+7cQQ66hekhFQJf3La+T7ZtkYmmIMR7KjrrC7r2o9UluszJ9zuqoqQoCmSgODo5oT8cglI+82tCrTZeECovKzb7HXlRkCQplgaeWmtqrQkCnzgZa3HOgK1xdYXTHiaUJilhGPizwflzQwYhUgb3DULnBTt63Q5R6B15wzAA+YBP5dzhFc3ygrvZnLwofCNQKTrdDtOjI5SA1WpJXdfUWvv9VBuy3YbV4pqry0vuZgu6gzFVo3KMUDhjvEy61WxWK66vLyjyrEl6BQcoqdbouvZwUo/9xBpLtt1RlVXbtbw/o9oEw1p0WWBqz1lsYZm0ib0TflprJNQVxvhkRWCQAqLI81n6gw5x1BZzylNSLFS6oshzdrsNN7d33NzccXszZ7cr0MYRhIrT01OSJEZrD3GrioLNeoO1lslkzGg0JI5jkF6N1FjPk3XWi1yURU0QKYKw1yxowUFQRd6L3NAmU8InmxKDdAaEN912eLVEoyvqIifb7ciyPQ4YTY/pD4bEnS5SxYdpt1/Hv36NMV3uHuhJNK+j/8JPcYVrYl5bnPvXwjVTbukqhN4jSu2LNK0bJdkGHdBAybXxpk0yiAiTLkE6JOyOUd0RIuriZOBjLX6PipYb1yhCHqCtTTRrm3Wy9Xh1Pva13O8WiIFzHKQ9Dl2yZnc4kOimFWAf/Ezi79UgHfCiW4J77lg7T5DCIJz3kw2CEIVvKK2XM158/YLb62umkxEff3LGk/feZTKdNIWxh7Y76aH6Dg9zr+uS/W5Hnue+uV+V7Pc5ZVHS7Q1IkriBxRu0rsg2C+ZXb6myNcNhn26/D0GEJsLKkCBMCKOYMEwID1YdXsiqqmpu7xaUtWY8TLwCcxKjpMI5g5Ihm33J9e2CqrbEcUKcRJ5agCUPc7YbS1VpamMpa0NZauaLNb9afMmnv/yMo+mEKApZLdeYWmOMQQYB/cGQJEnJs4zlYobWlS/ig3tuH867rUoBqoHXSymbIso3hkzTCMN5FEsLPDCVP2+kKagriTBN8SSc53Ir5esIKdG1wRmH1QKcJooChtMJo9GYII6awtw3w+rKC3DVRcFut2U+X/L81QVffPWC2XJDVpSMRn0+/PgDer0udVWh65JsvyPbrymyDKUCBoMxvUGfOPFcfalCEAHCgqn9/rJOIkWIQNFIDftd2p7RQhzQlv418v9Ew1vHaawpfeM080r92W6PDCL6oz69kfdIV7JpyllLaWu0MRT5fQ70113fWSzertecHA356vmcj99/ypcvbkiHfX7wvXfpxpYs37PZFRiRkPa6dFXObrvj1gjqbU5PRJS24OhkiBSam+s7KhkQpQGj8YQoCLwRehxSag8sPZ106Lo19eXP6dtbusqhnGM5W2LDDnX3DCcCIpcTmA01MbmcAIJOr4sptqTKEgtLkRzjqpyey6gJqWheoHTYQMB8MlE7icIhixVuf4tMh6goRjqNlQlCJchqizAVLlDenkIAMsSIkFIoL2hxSNF8siWEQ1pLvV8S1HsQmiLLuX59wevrOWcfP+XpkxMCGaGjDr1+jzCOUEJR1RWz+YLtbk+n34NAUW/2rDcZX969ZDgeM0hT1rst3/87v8FmvUQpSZImhPUayh2Li7e8fvU1/Xff4cff/5gRkv3FJTezNcX0BzyZnlPlJd3xmOFgCEiktswvrpFpyPXbG0IJvzudEoaBt+xIOui8YLtccf3qgpvZDJsEbBdLqk5Cv5sSa0mWeVNlLfekvQE/+On32S5uieUH/OxnP2ebGX7rd35MJBXZxpCut3Q6fQ9b6wxRMmAzv0O7mtrU1LUl6oQMxiNcXWDqEm0NKgjQ1mCNZbVYoLpjD+trjoNWY5LDhEUQxClCBaggpCprqlxTZyV3VzOMrplMx4wnE1KZU8xnlMoQMWHY79AfDoiEIpIhttZgLbqqqYucXZnhAGMcq9mKz798xeX8jlm5RYVeNjmJIwKhUEjKsma/z9nuM0ginkwfo9KY4+MznBGkcYIwsknADWVRUtc18+s5RvQYjwfoKmPQ79OpEnZW0MIT7+Fa7RGoSURJ4EqcrtgXljrbs1/PqZ2hyHbkNqd3NuJ4MkU5QS/tE8UdLFBnOXVek233rFbL7wwqfxuvFq/vc6VmzQiDbOAx/pwSqAYi6nMSjxwAn79KDEK6RlOmSdhbDL0VvjvfJFXOOGytkM5gFSDKxkvQ+GmKw/MipWqmPwFC+n9OBqiGI+mLVw/58lghmvvIB9GobZQ0k80H3xOWQ1LlFU3vCyXnLM54TpIUIU5EqNbvCYFwTWHhNMJVCKs9R0LXmLqgqkrKPKMoSy82EEVMjo45e/yYtNvzsDccGItxUGtLWflisShKzw1sUTnOUdc1xlgGvYROkhyUT42WGGcxGpSS3sNLymYvGsTBaD5BKt8tdo10fRLHCHzRJFWAUkGjBHpfVFd1zfX1Da/fvPXeiLXGWouQyk+ErUEEEQGSIIau8t1a4YQvgpBEcUqSpHQ6XeJoh5MBvU5KFMUY69hut+y2W6yzBG0CL3zTodY1VVVitPYTROdNxFuhDB6cPA/bAs5ZtK48xYM2CWs9Bv17bIxf+2VVQFN8p3HIYNhvxB8SwiBqCkX/2hntm0ZlnrPdrrm9ueHq6obZbMNq45tP1jp63Z6HoAbKT0Sqit1+36jRDnyM7aR+4uscRhqcrj13StcUecF2syPqOHrxAKFSlPTFomsLxvuuyGH/tkBv4ZpCURisrbyvWZFT5gV1XRPHKWm3T7c3JEo6oEIsqqk7jZ8MlNX/iFHmP47LVEVjQdCIljSTxUPxLcFJgZPqvpXeQvmwXq3YVJi6afRo0yComnaUdQhjcLVGVz7J1/slQTTHdAaIwRFhZ4Bxopn0WYQMkEo1qA4FyltMSOmLSKSElgveQF6F4+C96e4DxYNpsjjA7R33P7MHqL5rJpv3SANEgKcihFhCjFAe5No0WpSzCFuDLcFpby9jLLv1hquLK/Jsz9On54yPjukNRyS9IVJ6wUYhRcN3o5nkisbPz/veWesbWNZYdFURKOh3U5IoQApfDDhdke827LcrumlIb9AjiHwj21hHGIWeEhSlhEGIVD7eW2Mp88qLIu72SCCOQpIkQinZqFhDXmq++PIlL15eUlQWR4nDEcUhSaRI45g6rpvmgKDf73B6MiVchmy2GzrdLk+ePmU0HjEcz/j6xVvfFBTyIFS233oVfWENgRIEwtvCWWsaxe+m+UiDsnECcxAs9GeBNuYQ80RT0euqRFclgauxRjU9AHdY56K5rzEGjEY7DQH0einj8Zj+wE9gPffbUZuaqvZCO3VVNUJfSy6vbri4vGG2WFOUXrX+aDrh8eNztK6pqoLdds12swZn6XR79Acjkk6PKIqgsQJyeF0XAF2XbNc7XJDSGcbNhP4+sj+U7vTbtWkRNzQQ2axJbfbU5ZYq31LsdxRVhUq6DHp93xBLOof3wVqHcRprDGVRsN//B/gsBjLAOsVym7O3ik1RU6qCi9slT4+6UIKKUopC8NWrOemHxxQE7G2IQFO7lJvbNeHolL6Er756Sf/RE/o2YrZY8/jsmDiNODvrcXFxx9HpiA9OYvLVLVV5TbTPGYxGUJbM7l6h+iPKm68ojaXfT9FUJCqiWu/pd2KSwYTdeoWLA6LQ4FxMb9hnFGteX64J+hMUkmIeIazFuBoZJnRGjz0Of/+SxZtfkYuYs7MjBr2YfFezLwW9RCDMHmsKur2QRAqyrGaeB3DyW9B9zAGn6hxC135SWuWYbI9xe3bzBS+fv+LlxSVnHzzmpz/8CNYZl5mgNx6x22wxm4wkSZESet0+4alicXfHxdsrnAyQSvL40TnpoM8Pf/gRysDMjYlVRFEUdLCIKqO4vWG9vObZD97n9OSEWIWsb2fc3My5FgP6T3/IaDgiUTeMEokzBiRUuy1ltkMmMVYKPvrex5xORqQCnLZkK2+Psb6d8+/+7c9Z5yWjcR/hapZXV6zThLOjCUEn5sP3HzPodri8uuaDjx/z3pO/S73YcvHFC7rfe8L/7L/6J5Br1lcLuvs5L+Yz1kFEN+2jrCRfLKmqAucMZ6dHrNcLhsMekXXklSaIQpSqqKym0+myWayRSIIwbg4ADkpqrf0yZYbeLzl7OiWNxyjl6KYJYRCC9p3k3WbHenFL3BeYbIMJQVhNGCiUECgBVtdgG5sJqymKnKLMEcbx4i9f8eL6mnmZIQNJv9elu82oMASdiLOTY6gd2Tbj5nLGzW7JT/7+TzgKe37a0RmgLNhaU1QNVAWNilL0ds3NyzeosMPp6YizSUq1XZEHQ7QIDn3YVuiEprBR0hG6grrIvUeTrlCuRuuMPNtTUjM6HXJ0/oRBOgZtkUJhS4uuDGXjy7Nf7tnm2+8MKn8bL2sfoAjaCQwSKxzSmoaTc69qahvxk9bfT0qLVO5eZMThu6aumVQ2MCu/JpvcB4swJaLeI2qfvFFX2LLAmBoPAxWHZoeH3imvQiibxKotFoXv0rsHic8996aZPErVFIvyMIZqifRYg7DG+5T6VwEQOBWCjBBBBxF2EUGCCkKckCg0Co1A+0TGapzV3gqhqjC6xlmHVCFhlBCnXaQMmJycEiYdam1xTnveifPJjtaWutLe7Lmd7B2gZII4jhmPh4xGA5I4Rrbd+SKmUgJd7huOn6EoSnaZFyzpdPvEaUqgFFprjPZcyiDwQlhKKZRSh+Kj3UNaG1aLFV99/YLr61uyvKCqPQcw6XQZHR2jlGR0dOKbCUqgAoUx2nOLqwpjJf3hiKTTIa8dq12JQzEaDb2qqBDkWUZdlQRKooT3lQ0DH++NMdS1xlpD6+MplSQKQ1SrCNtMLWhoGK04T11VCGt8Qi5kkyDTTKS9PYnRmlrXWK0JAsWg16Xf6/tCsfUHMwDGK7Lme3bbNXm2Y7mYc31zx26XY9x9UwIEo+GQyWiIcJaqrijyjKqqiJOYwWhI2u0cZOUd96JP1hiy/Z753Zy7uzndcUXcOyaMPK9KtKqEot2s8jB1EM54vzEMkhrpKpwuKMoteb5H1zVKBvT7Q7rdHlHaJQgTpAwwFnSbwDnvg7lZ//o1xqzWh+aXFPeFjLDehsD7I7Z2GeIgHNNCg7ECa3QD7vOwStsk80oJglARBIpACSolccbiY10OucGJClstKQuf3EsssmneS9k25xRSeR6tDEKECpDKw1d5UDBaGQDywCf08cweYLE+/jWb2rWarw+VWXlQjEqEDJHSN8asTCEe4IKk6QaKJjHXYGqE1UhrKLMdi9tr6rLg7NEZg8nkAC807d4jwDXIEh/nPIy+1gZj/PMJwpAkSUiSmKrWBz/ZIJDIZmJurEabmiBUTeyQFGXNYpODSjnujkiSjheCoYHRN6iMzXZHUZYkSUwnjQkCcTiHnPVT4DcX1/xlA60UKsKVNZU2BEUB/Q5HE7+ny7IEZ5lMRkzGE+Lkjizb8+FHH/C7v/u79Po9bm/nOBlxPds276s/V+uqwNQVgYRQKaIgQCJwxmKFwOh7mpnwXTGwjQIqTWwzB/1ejwY0hqossKYGYXHWNxH8Gr/3UHQNL95qPxnudboMR2P6/QFBGHpkSQOv15Vv0lVlwW6z4fbqyluEZAVCeoEcKSCNAx4/OqPX7VCWvoE2n89w1nJ8dMzxySlJt4+UqonLPmcwDXqirjSz2xtevb4kHU55lPRQSejPcteCTlu6QLucm0SiObutKSnKLS5bUu5X6CLzYoZpl+5gRKfXJwxjZCO655o9YhuBpWy/J9tn3xk3vrNY/MGR4qhnCb/3mL22HJ8eESpFkRVs8gBPkYoIQonRhl99PWPSOWaf53Q7PTa1g1hwM9/QfzQl6fY8TEFb5ncrfzCGEr3dIgMB1Y4EEGlMn5JxNyVJeggVsd3tCALH5m5OJ0nQaoJQim5HMgjWTKSiXK8pNjVGKobRhqnMMfkQ8exDsttX9Hsxw+6Izz79jPm+ppMIpsOEQawxVZcOW1a6YLlZcnLSJVKK3eKSl5cbPvnh9+iFkiLL0V1I0hiTl+h9Tq314dzCtQT7JiDpCpNvKO2ety+f8+rygu//vd/g4yfPUHnFsoblvqIXJRxNvUJfVVbUVc3bF294+eYVSsHo5Jg4TcnXG169eA1hwLDf4+7tLeMPf4LbrZmXmokUuDKnrLc8/vg9Ts7PoKzZrdas1hlfvbrhYtjhN9IxKo4ZJh3K9QwrJQrBenbDbrdCF5IPPvmEv//3fofQWg8tLUpWqzVVWfOn/+4XfHU1Ix70cbXm4uqKxWLJ4Ok5/9l/+U85nw6ZDhOiIODq9RWj6QhZlXzx8z/DBfDonUfeC8ZqZEdxMhmxCSV6MKEzPkc4R7XfgPBJzGjUYT6/RQhDWeQIBGWuqWtLEEVEgUI7w6DfI4ziJtA0Z0TbZQR0XvDlL/6C2fIr0lTRSSKOjkZ04pg0TbxwRaw46YyoZ9dYCf3TI06mxyQyIDC2Ofw8VEdbhzEObR1WW1aXS/7iV89Rj1J+8KMfMA5Tvqr/kvntkqSb8P7H7xBZmF/dcPXmkkVVMHx6xPH0mCg3lKWHsIaAcb67Xex31Nb72C3v5ly9fsW+2PPRD59RbisilRDEMUXD/Toon7YwXOFIZElkC5zzfJ3KlEQhlMaghhHvnD4ljVPS7ohQeA6DcFDscsoiJ9vv2OU7clNg/gZ31r+Nl7MPgjD3H/1QsFVTbCBZzidNta6bpMSBEE3BqO5RcUIiA0kQeRikR8T4AG+t51D54sA1kDkQtsLpHKtLD/06DIhF47t0f2j4bwt/lh48GBvo2IGTBi109SCc04hANDoJ/vfYJqE78B8lToQI5XlHMuwi4zFhZ0TQ7aOimEA4FDVetMEL3DhTN5BDg3N4vqAMiMPQm9tHKXG3h1QhynlYpRTe8kFKr+jZ8h1Fk9y5RuI+DAM6qRdQ6HS7REHYiFx4IQiJocJgS98lvbm9I9vnPHrm+Tpp0kEqRWAMptZIKeikOWEYksQRSeILI9G+bM6rtN7czri6uaOotS8orCOOQibHJzx5533PJ5Lq3nbiwC0qG9Eq6HS6BEEEMiHXUJaGfr/vkQZSUBR78mzv38NAIcOIMEkJoghd+wTROc+fcc4hg4C4kxKE6rDP/fvpDkMgZyymKn1jq4FLi3YaJ9qkq/Exq/0Z1ul0GY3HdHs9gsAn7A58QuI0ebZnNrtjs1lSFjn5fk8UBpycnlBWlm2mUddLgiBgOByQJBFVlZNlOZWuSdKYbq9L0kwULf45t/B55yz5fs/d7R0Xby9YLleMjGTyKCPouQNH0a/tphCQ9xW+dK18lCZwGmkKiv2aYrfCGk2cpAwGI3r9gTc6D3zxIfATIl37tVfkGfPbG2a3V/9jhpn/aK6D36G4/7z1rlPKK+S2CrvOOY80P9RcrpmI6Cbh9LmOkhIhIy8uJxVx7FV8TeNJigMpFWkkULKmrDboLGsg/qKxJ7qHYCNkA0P0ysqi5XsfikCJlQ0KwFezBxZGC6Nt4+XDf80r0M7fm0Kw5cD6YtFYiRUpyegRsneCDBICIQmkQ9pGAdrU2Cqj2G2wumY0ndCfnqCiiLKsqXRFEia0KAXrrBec0tqjJBpKgjaWWpumYSVRDRIi7XRIO6lXIJWNXkegSDod0EOUxHtm32148eaWo7PHnD5+D9VMhLXW7LPMK6s6h1KKJAoZDnqkaexFXrBY61/vuja8fHXBbL7xEEkpfW6ja6wUpEcJ773zDpPJ0CuAg4e5Niit1XrFZDJmMPSFl1c2HrItIel0iJOEIFBYUyOwxGFAHIUEgWpoBf4NNMY+OJM8/zQ4rEWBadHDzfturMNqQ13mYGpQBmsFzjWNqKYxapsGurMevdOJI/qDId2+1wxAtFB4i9Ve/bfKC26vb7i4eMtmtSJOEh4/ecTk6PiAgAnDkPOzY4Rw5NmezWZDWZZMJlMmRyekHW8DJKDhhdtDI68oS2Y3Mz777HOub2acPH6H4/NnqLjnIdFS3m+8h5BsvBCZdQZtamyRYbcbdLbGFHsC6ej3h/SHY+JujzCMDo0fA7RCOtZaqrLwfFnzHyBwU8kO1wvN+OScOi8Zj/rUWcFoMGK3Lzh6+pSCNaMwYr8RKGGoTEXiLJ1hh+12z2A0QNeay+s5Tx6dkVvBZNInCgKstpyfPyEv3rKpNJ+8f4LOl0gcHVvQSQKStIsKQkxt6KkQXdT0Ukls1qwyQSlHjFTFdi+Q3RFJpJGmZJtVDOMcmRWsnSSqNzB7S403mldRB20Fl4uMVze/Ym8lf/cHZ+y2GUKXdNLQBxqpuL3bEN2s+eSsi60l//KPXvBf/s//AYHS3C7m7IclxwNHI22B1hW6zuh2eqSqJnQV65tbKiH4rf/0d/n43Y+pdjvWqw0XsyXjJx9S5yUvrr9iu98znIzp9Ua8/72PeO+D99nnBa++/pKvv/iSvK7ojgc8eXLG5uaaf/Nnn/IHH/4uNs9QnTG9/oB+2OHke99DmIJqu0RXmvntgq9fXvOzT79m+PsfESrHONQUmx3r1Zqw24UyJ5eO/8n/8p/xv//f/R/JdnvPoSkr6n3Ozd0d62xHtdxxe7OglCHf/8kHXHz2BQ7H6PyM93/0d6lIGAx6xNJ3HD/5/kdY5xh2exxPpkTTY3Ss2MznDJKUQEqiKEKEMdGjHzKdPMJlBWWxYvLkhLP3j1B5xma3w7maQEoKIVBxRJhoamsIhN9A4+GYRHnu3oG/g21EkQRBqnjve+/xLO8hlUUqQVXsmN3MMRaGwz6dfkJNhdUFJ0/GnD/7kE48QAmJaHgbeVVTG02V7VncLDwkQWuubq/5/j/9EZ98+AGJCciuN8y6A3pJwjYWfPjxx2TXS1bLDSYNOX88ZTweEdmAXqdD4HJsXpMbjSm9OEWUdsjnK2YXt7y6fMtqv2J7vSNbviB8/BgpAkSYNuu1kQlwLfSmYWOYGmtKjNBEQcj86pqLesXkbMz546eMuyOkUwROIZ3DUqNLQ51lZPst+XZPsdlT1RUHrsev0XXPl2mTqBae1AJYoFU+ttZhXaPabO+hgE7dE/UPhZoQKBmiouTQ4fbdTd1w1hRRFBCGjVWDBC1bIRl7WMcH0gzQ2ge102NhnadrYe8FHVrlR4efJrqDFBcPxbtaFVUvCChocLPN1FLjXImpBTrPsDInrEq60hEEA1QgUU77CQ4GrOelOWsQUqKEREpPI/CGzzSTMIHR+gAHo0lUpZKEgSIKA+I4QmtNHAUEykPlwjCg2+mQxJFPKNuckYa/0cC8drs9N1fX3NzOSNKUTqdHnKYIFSKDwFNkIq8k1+kWSCmIoshz55rJrO/qWupaM18sKIrKd6iFQClF2ulyfHLCcDwljCOEUARKNrYhzXtZ13T7A6yDKIyQQmGEYl9W7LPKF2VpTBQIr/5nDVL5LrgKAuI0IQojqtJDUG1juSKkh3R1uz3iJL1fxM4roN5zFn1i6pzxBTiev9P2A2xTXBrjH3fQ73N2esKg3zskcO2Upq5K8v2W2XzGYj7HOk2gJINBjyCICKOEonLczryXZWQscZJQa02WZVR1jQpCur0eaZqi2iLUeaENnBfNyXY7ri4vmd3NWa/WFEVJVWnvTXsoahpThAcFj19JTcPDS0Zg64xyt6TYrwilYDAa0+0PSJIuYZwQBIHn/h6abA6FIc+33Lx9yduXL9jvf/342YeC+8HrKZqGTWuNoAJ1aN6AL8Jkc7+2mWPahNXYBsTiEQtKKoIoQsB9fGwEVYLAFxGBCjwCoK7AtcIabcOg/dRi8cIqLa+yLQ5axEyL+LfOxzBr2zVxLwx2H9NlEzfui0toGhCNn6aQCiUUZe2ojacAdKLEm6tLz92TzoEtKfMN7Hdoo+kNR6TDCTKKsc5RlgV1bej0Rp7u1KAnWgiqUgFJ6ukwWvsCorbW87plQF2V9Po9AiV9XBF+wialIkkSTBGjy5zdZsur11e8uZzTG582e8nHgLIs2e/3dDpeh+KTjz7gi8+/oJtGxGG7v5vX3DqqsuLi4gprIYwjjLEYHGEYcTQd8/TpU6bTqbcWUgoVhR6NgaDSmunNlCgKfXFpLVVVA5LeYMhgekSv3yeKYoSDQAjiMCAKA09tcHh0G03ceiDupVRAJ02JghAtaKC8flLZyOJgjaYuS6ypG5RCwIPZMU1C5ItBrUmikOnRlOl0TJImqCBoJuSeRlHmGavFguvLK25ubqmqkuOjI84endMb9CmKmtVmy2K5AgFJEns0jdGEKmAynnJyckavUVQVzRnsCzSPRMu2W25vZzx//pI3r96QFxW9wZiyyAh6BoKo2VMPYEBNF9NZg7Eaq0vqco/b7yDPkbUliFJ6vQ7D8ZCk00OGkW8gCBoEkcO4uilYS7abDWVRfKMJ/ddd31ksFvEJRjguXlwxGg68F1O3xy7PGQ6GvHl9y9HJlFG/x21tKJqRpnbgjAArPbGz36OuDaPBiK+/fslw9A773Z4o6fDyzRsmk4TTI8XpIGZVSTAF405AGscEYYgCPjgJMczon8IwMhi3JU5i7lZLZhqePR0RIogSiERIajsEriIMYVBfcTQSVNVbttc74jglswZcgLMBRmt6nQCpS4ZhyVFSE9Q5lYBdUVDWNa9evmU6/gF9GZJtc/75v/xLfu+DI7a3V7xc/SusDDg/f4dAKqT1/MtYGjo2Y7dbIxLJhz/+mNNH7xAYyW4/5+52yd44hIFERbz38ScEQdCIQZRsNjvqsmC93pD2evze3/1dNtsNb95ckK23fHV9TXc6RVR7Vpstw48+hGxOWWwJqdD7DZvLW9a7jC++fsUvv3rLXlh+fDymvviS2UZShZKyEvQSz+149NGHnPSPmPQ67Jd75qsltZKkvZQPz39EiCRfrvj8l6/RaKTWOAGT4yOiRx/x9/+r/xXRfsNXX/+cH318TLn3Btyqrnk9u2UwHPMP/tEfsFkumG+2DIYTpMjZ77ck7/2Ed37vH6Mq2UAULIHyC7jICkwUYouaWVEQ9XpMjsZkWYEzFUVWIFRIZ3iMcBJvsmvvmzL4IL+7vOTu7QsQBd00JOlGTCcTnjx6RBgG2EpTZFtMVpKcdJkenVLlBmNyemniCyldstvtKaqScrvj9uaGm92G8eMJP/rgR7zz9DGqBls67l7d8asXr9iZiiQdUJcFYtTjbPoe/dGQXpR6OEtdI1WEMB5uZrQl2++9wtrNjtdv77h4c8l8dcvR+ZhRN6XTDUnigJurNaIX+xy/UTpsOWsCENbiXI2uC/b7OdoWpKcp3x+f001SkqRDHHUIRYAp/e2cddR5SVUVlHnBYr7h+nrOVldo+etnnREkXUAcYG73UE7ZllMH7kML8ROlhw4ao70oiVKeV+jTcj89CxIv3hVGvkMuGp6O1hijCZQiimKSKMZY4ydzSqKlOnTs26stWw8T4xZcLRvxEu55GS0U0TUHbnte+sfx/xotwW8mVLaBqAr/t1gLThu09t5+tROoMCJJQsIwIpSGAIMyxjdkpPPeXM5Dxawx6KrC1L6bbp1XinONTt09dKwp+qQgjkI6aYKSgk7Hy8a3BWIv9bw1Yw229FwpXZeU2ZZit2F9d8PibsZ6ucIYS6/fp9vrHbinSqgDMi0MAg89AtLEowq8oJGH9xpjuLubcXNzC85PLwMliZOY0WRE2umSlQWiKolC/5ylDH3hLhUqFET45oJsuuJRFNHpdkCG9HveyiMM5AHKJ6XnR0kVEMcJUkp0XXu+Ip6Taaw37h6NR0Rh6PmRcOjE006/refqOespBu5Bw6GF7RlrEdIL/ZyeHjOaDAmjoFkjDqc1lS7ZrLxR9Xa7ASy9bockSQgCD7G2TqBNTcuBEw3kqigrnwcEiiRNvFK2uocctjy4WpdsliuuLt4yu5tR5EXTcPEKwbbJ+2SjUnxodLRNg+YvD6QgsODKgmK7xhZ7+p0uw/GItNtFBXHTGGr9zASmfS3qmt16zqvnX/P66y9YLuYEDZzv1+lqc857F5K/pmAMgiYWKhy+oSAaEa9vxpMWDNgm7v4HXk9E4WxThAnRFDodBuMj0k6XIIox2lCVe4wxngfcJvgtTLSZHMsmPjnf7zjwxmXTBHG2KRabs8/HP3GYprST91asxzaFgy8WJUIamhIEC1RVzT63oGLi3rQRBQlRwhIIDXVGnW0R1pH0R6SN4qixsNvuWC9WWBSjo7Y4xT9xIZEKojgmiGIS4xAyYLzekmU52sB+n1NVFVPhRWkCJX0TUHiOWpHlrFdbnK7Z5TXaCKbTKSdH04ar7QvF7XZHFMZMxmP6gyFCBjx+dEqv2/FIjPt+G0jJZrPj+uYO4xxB83opqTg/f8RHH3/I8WRIVtQ4kdEf9EmFF12TAjrdPsPhGK0t682WKErY7jKKWjMYTZlMJqSph50bYzDWHKba/gl4vrSz2it5Gn2AEodRSLff900i08pPtuukKcB0TV3mvuBU7aRaohoLrPay1hDFIUdHY05Ojkg7CUJ6ZKSpS6qqJNtuubu55fbmhqosGY9HHB0fcTSdoMIQbTT7rHiALBI+RhtDFMV0Oh3STodOp+sbLvjmqDEaU5cUecZ2vWR+N+fN2wturq/IMq+0XZU5dQPx9eJTjfaAuD/brW00yHWNqwooc5SuiENFpzMgTVOG/S5x4u1S2sZQ20TwWgSGuixYLebc3Vx5ekD03bHuO4vF3nhCrSu6vQRb59iqwskIRU2VVSgpOJ4kxKEjfWfMqxdvqENJMh2wXc1RUlHlFVWxwTpHFUYkacBqPWe/3yO2S+qq5vTse/QiS7FbUxiF0pD3juikY48wCRT96TGbfY6mZglEwkCQEEUJ2WZLrkOS40fYIkcKzT5bsw6eERhQLkMbL2VutaYnNL3BhCIrCKKQuqpJo5DdfkdvNII85/lffsbxJz9ma+DZ02OkUqxuL5g+Pmcy7uGKmov5nqPzY5Y3cxa/+O8Yy99nePQUow1xGKJchag2IB2PP/yYNIiJCLj5+lNm8xUvL+74arnnh5N3mZwmzO5u2W8zQHjPmigkTULicOIFb66vefXyJWF3QH/Y5fz7H2KDoSfHastpp4Pd3hEEErfbc/fqFcv1npevr7ne7/k7f/hT0ighPTum3i/Z2Zitzkg7MeNOh2FvShon6KrCakN/OuTRo0d0jUNZR73LuLi55cWvnvPicobsBNxd3VCUNU44RNwjr0Mi2eX/+n/6r7n+T3+Tk2GKeHXJJx9/wCBK+frTz0gnE0RdUxrvQ7iZz8jrCrvfeG6MEJjakK03VPmOOILVcoGRgqrWhEJgyprttmAxW5FOupiqQna6JKOjJpkQh+lKyxUDh3GW69tbRFAgrKHX67Ie7OilCVHgk8kw9OP/09EEFXSJ0wFREIExoBSmNKzmK7aFF+/ITE3/qMfT95/w7qP3kYUly5fsFht2uy27Iqc2htXzK37xi89497/4x5wcnTBIukRWUFYFSmqKPKeoS0pdI5BUhWa32PPZn3/Ni/kVnUkfPTfkrubk6JRuGLDfbhmdvcPKNQImB3amPXTdFBqhS7SuyfKcoB9ycn7KsNNDWk8up9ZY6eERpmrUscqcytRUhWazyrm6XbLMVyTj8DuDyt/GK05Hh0P9vpvXKPM1RaOUXpJcKok1mrLIKIvMq7o56w9O2UJVfcIvoxihIl9EqqARObD33XCpCKKEKO1gjVcVLIMKoQyN6zl+JigPxephItCsa9nCr3ANr6OVsvdXmyiBewAzbQvOB19b0C2novEp84qZFmcFxlTYYkuxDdG9iCDp4wVELVI2k9UwQuC5vy2cSFcl2W5LlmV0+0MGo6OGeyQakj2YFkLpvHJdmoaEoSSJE5IoIolCwiAgSWNkUyzWZcl2vWR5d0u2WVHne+psR5XnCGfpdzv0+4ODYI0XeGl4pUKggtD7LVrreTxxgmy4wgbHfD7j8y++Yr1aez+rQBFFIWEkGQyGGGv54vMveP36DUIIzk5Pefz4EZPJ1CcheGi6P6wlWlv2+5y6rIhUSBonhEqhpKQqCz+N0DVBmNJNE9I48nLtZeF5llY3kzhB0ukwnk4JwtB34JukqU34nTU441VUvWJvO0HwfpUt1wUcnU7K0XTCeDIiTZN7D7K68j6Eixnr1dJL+YcBnW6HtJN4aFgD3dIGqipjt99TVhVKKtIkJQobz7M0IU3Tg8qlgwM3sC5ylvM5N1dXrNdrpIAkifx0Qnuel9aGlk77oP+HaG0OGrsHaUqodphiR6igN50yHPYJkwYOSCuI4kUyDA5jwemK9eyONy++5vWLr1gvZjjnCDvJ/y/Czf9fLxUmBFIiG182XyBKwkASRd4WLVCB5/Lh95qUJbppXvnY1nCwgVYRWqqGqxiEKKn8NEPSxE7vwRiFEWmc0u/2EMaw6s3Y0XikNnDph02NFh4rm2LWIQ77yTVTUX+1ipHN6dd8LtqG3wG67CdTxnjPVmctMlCHWHRomuUVlckby5qcRFcIV3vlSafRusYBacPtDZIIjGW3XXPx5oLr6zsGowkHMeoW5eO7e8jAr0WpoNsbcP7oKUVZ0+120XVFnmWEYUwoW1qDA2tZ3c149fwFti4YjUZ0+yln5yFx2uXk9AhnDfvdns12j9GG8/MJ3W6XQEn6vR7jyagRtRFNceY3VV1b3ry9YrneQ5D6Jo1wBDJgND1mfHyOdoZ/869/xmw24+OPPuDHP/4BR9MRCsjzCicku6zk8mpG2umx3OypDZyOpgwGQ0QDxcyyPdl+73M254hCh26KXKNryrL0XG9jsChUGBE3VhZeAbQBUzoaTqPG1p7/aozBOnmYFgsp2iEzAkcYRIxGPU6OJnQ6aRO/NLquKPY71osZt9c3bDdbZBDw+MkTxk08jwKJthZdGBbzBTc3M/ZZQRRHIAVhGNHr9Yii2IusNVZNtSk9F7+uKPZbNqsl2/Wa9WZLWVRY05TszqFrr75q7b2/s21+1kL2nfWNReoK6orAGtIkYhBH9DsRaeKdJeShE+DjrLMWjMbV3ipttVzw5tUr3r69IElSRsP+d8aN7ywWP3j3HdarFaHynIowShhMp1y/es7p2SOUqOmPT4jCkGJxQRRFPDk+Y9Dv89XnnzI5muKsJYgjam0IVMj1q685fucxuqiIkpSqquj1U0S5Y7XdcfrsY9Z3t8RHp161suksyGjEdlFQig5CSrZVSdoZsVmtOXv8LnezS1TfMugOiAVkpWC1r5lOJmw2Cm01o84R+T7DRBpXW8IgpNPtcrm+otcfIJKUYNinXizQxRsqHWBVh+4wZTgYEIWS68WGqD/k/fc/YDW/4/jJM8L+isLA/vnPSOoFVXpOd3KG1Duq3YK41yEQIZQ1m9Wc9XbHbLblqzczquGUMO4igN5gxHR65KdozmDqiqr2dgxlVeKsodNNUF3Fk/ce0Y877HWHYp/RP38X6SBWDrtd8fazL3j19gU7HJ3HE/7Jsx8SFiVzhtwudv59kQMvcpNK0q7naFpridIYmaSAQ1cVZV6Qrbfc3dyR5RVfPr/gxeUNZ997wrbI0cJhg4DhyRlKhZTzGf/D//u/5Veffc6zd885PZvw4uUVz85PGfZGXLxckeUZ/Z4i3xfkyzXBqE/aS+kIg3CSusx59eVnXM6uOT8dkhUlQkpsqcnLAmtzNrM1hYJpJ6U2Of3hkG7aJ0B6aJ4TeE+8JtgaQ6wEH3/yIWHioaudNCYMFbbWnrfjHLrac3TcJ+n1iQdT4iCBWpPvMjbrJfl+zdXNFSYO6I+HfPzhJww6fjInSkOZ1/7X1RbjDELgZf+dT9T6/SGpilFYhLVeKMc6dO6VyqpKs5wtWWx2bHZ71FnKjz/8AXpds3l9A4ElTkE4R9IdsjMe3iaazim0/nrN5UBXJcLVjE4n9PsD0igmDEKU8V3cuq4x1FjjqK0PWnleUmuNto7VYsvF1TW6UzFIT78zqPxtvGQD43UtcqVNVhoui2zsF1QQEgS+WBZBigxTjK78pJGGC4iXkBdC+A59Y4FBA3VFCoSyCNOKrAREcYyzfkpUN/teG31Icvz8Rh067Idu4WGaSEPfalv+vhP94E/xz7lNqA4wbT/50tYLGfkOqFcwFKpJylp4o/XCAlW2otzGuI5AiQDpKs/RDhTCxVhbY3WN1RVltmOzXLJaLinKEhlEaKOJnPXTRXvP3zS2tbRwhO0UL458dz0MCMOIIPCqr9Za8jzn7vqGu+sLXFUQSkEUKKJOilKK3nDEeDRofMIavzhk8x41r52UGG19BxpHXXmu0Xq95cuvv+TVq9fU2hCF3py61pok6XJ6dkqcdnjx8g0//7M/pyhLer0ejx+d8/jRY6ZHE7qp921MGu6hsY7dPqcoanq9mDgKCZW30NisV+TZDmscSRThnKUqcna7HevVkiLPkUo0xaWiP+gzmU680mKjitrOePx0FFzDeW7keXHOYqxBGw6eXEkUMhr1GY/7JGnUFJqaui7Jsz3r5ZLVcgE4BoMBSScliiJvbC39lBxrMKZmsdpwfTsny0tGowlH0wmDXp+o8WX2JveysSiRVGXFdrthfnPFcj5H15WfegQhRVlgjEXuvRhGVTbJo/uG5vihCBYYX/zWe6Te04kD+smYbif2k24a8PyDSb1tRR60ZrdccP32BXfXFxT7Lc4agjAkDn79CNrD0YSwgUy3hWIUqEaZPiIIwm+gILTWfu/KgCIsm9im7vm9DfS+nRR5uKmPVf6fL9akkH5fS0EoJUkYkaYdyir3kyTRNDkatEHro9lOk3nQKGubeah2injv02fMgyaN9DmAFK2Vlo/xprGksUDgfNNDiLY4VYhG/bcuM/abGZ3+EJX6dY8psaYiTBPibogM/Wu1Wc/5+ouvefP2ikpbRtPTxrKneY7Cq336EWhzTjT84jTt0euHxHGM1hVp2qHT6TTx3+GcYbtc8PrF1+S7LadnR4wmE0ptESqm0+0TSMFuu6OqNDIImEwm9Hu9A4fRNVDduqqp6xrhHBbP0Zsvtnz+5UvKSjPoeESftl5gTYYhKorZLJf8yZ/9OW/eXPKrz1/wxdev+N4nH/D4/IQ4CptmqCbLC5wIsE4wGk8ZDIe+KSegrgrubq5Yr5cIU6PrijTWJBiU8fDboigp6wrrBEZGhGFEkvp89DAZa600nFc2NaVXyPfoiqYZqJT3s5VNm0gIOmnEcNAnSX3DxFqDqWuy7Yb5zTWzu1uM1hydHDOeHtPt9X2MtZq6rtBak+22XF5ec3s3p6wNSRoyGIzopF2iOG0g/NJbOxnbNBxqH0/nM9aLBXVdEwYR48mEsjLsi5Kq8mrfVV011iAczv+2keqapgHGIKwmEI40CenHAb1YkIQKGbSCX20XuVGAtQarK1bzOYvFgtVqzdXlDbO7BcPhkE4cf2fc+M5I+PrlC3CeLG50gVSKPFuSbdfMhSaUhkhVBFJR7tfU+RZjIFvOKMs9u7WH/gR15Ht/sgIJprJUdU2YdBA4qqIkVQopHNvlHYqSKl+BGHtstFLIQFG4iLDXA6cRYUSlBcPxmKzM6HSHZNme4+MRifU8jf54DGFCMvSkYW0cUaeHjGqyzRIpHft1Tj+R5NsZqIA0higyvPfuOWlq2N1uKK1gNd8jhCcjO1tzd/sWU9doU1CWFTJQDGIB2R3WCNT0CFHusMLQ7w0wVUm927NYrJjNNzy/mlMpQX/Y812NssQ5P84WzhGpgCwvWC9XfvStvSG1jGI+/OQjjpKIwvgNXWQVwyePkVWJ2SyYvX7Oq8s3MO7zGz/6ERPhIM/54mJB8eQTQhUgbe55CQH0egn9NEFhCZVEmBrhLEWWc3t5jZ3NefX6iqDbZRx3ef3qiuHTIz5+9wmrq1u2gaJ0MJgcEQYBxWbJ9959l5kxzBYrQHN7eY3q9Plf/K//t0wenRDcvWU/e04oa6anx9yudnz409/hpBuQZ5ZZlXN3c8XLVy8R6immqqDyqk1kFdvlhvl6iw4E56fH1NrQG43pDYao5vCQzQl2mKE4x2ax4Ktffk5pd/R6KXEYMBwN6Pe6hGFAr5dyOhkz7IBSMdYK6rKizvc4acHVlC6ndzJgMBkzmUwZ9UYETlLlOdV2Q1lU5HnBdpdRWt9Br8uSznGX3/6dn3LaHxLWGlt5Tke5WbOrcpSDxe2M5Sbj+nqOHEZ0pgnvfvQ+k2TI7WdXPI++RKRQrDfsi5zleoMYnmOtJ3Nb0XZYweub+Y9COFQYMBh3SUUExnnJcwROe1sCISy61pjakm0yZndL5rdLVpstV/M75psFnW5EZ9j5/yZH+Y/68gq64sDtaouJtjjz6nyh/9cUi8o5AmcOk662dHM0ybsUqAYK0wqLtDmOM75D6KRPZAKBT3ziEF3HVFWE1fWDIlChVHhIvO6n5QLhvNiSbH6Hz9oahqJwhwOn5XC0xSW0xaL1IguyRjpHXTezTCVRQUjsoAwcgQZtBVIaXLXHVTEqSlCiRgqDlQ4hwWKpyox8t2W7WrFcLMmyHBVEftoUxd6kHRpFWS+YYQ9TL5o80HMYA+WFL5SUh7/R+1j6IqibpsT9DkmgkM7b2aSdLoPxmLQ7IIzjpuBtXi/a18khhTpMYetGvn612fD18xc8f/GKsq5JOx2U8FwpKRXD8Yizx08YjSd03176YqQsybPMQ4p2e2azEdPJhKOjE4ZDS1BrP03TmjBUpElCFHpxhyLPuL6+JtvvEUAeSLZRiK4rttst6/XS82ySuBGfCphMp/T6gyaBMPfTi7bh0SQUrR9Ze/kJpOdVxlHAoN9h2O95mC9gdI2uS4osY7vbkOc5SZLQ7XYbbk/YJGm2odLUWG3Z7XKev7zg4npGWRnG4xGnJ0d0u6lv9qp77zxjLJvVmtlsxnI+pywy0jhiMh3T6fWoK4NZLLBu80CAYYeuakxiEapBixwaAHibDFOiXE0nlPTjmCTyysG2EXRqt4aflPtEyumazeyO68u37DYr37VvGijtFPfX7bLGUDfvn5RgrcRZhbXyMHUXjZWQc2Csh9B5+Js7TPt8YdiC4e+LLXlosPmY5FWGBUoqQiUJcD7XCCSdNKYoUpwzBEHl35dGEVU2CqTtZNBf4sCj5NAU8dNND0f0VhRa6WZSqA73bfto1jl0XXvPVOsF8vyk1DXc6cBzyp2mLg2bxTVpt0e/EwMhztRejbjTRYXe/3A5m/PV519w+fYCrS1xktLt9VBNc0tIGiipA+uT97K25LVll1VeBCuIGmSLIm6sgTztwZDvNtxcvaUqc07PTjg5PQKp2Jd7r1ArBEVZorUjSTocHZ8wHA6J48hPrLQvWDbbHVVVMJ+v6KYKgaMoKp6/umK22DAcjOgP+mgLtnB+2hzHXvBOCoyxBEGANpq3F1csFnPef+8Zf+c3fkS/PyBJ0ubskygF3dhD1QPp99Jqs+P64g3bzQoloJKCuq6odUWgZDMYqRvbJAmhJO2kJGnq0SeN8I2HY3p0hK0qsv2eMs+9aIwyZEWIUoLI3K9Tz38PCMPQ2/XQiADttlxfXTG/vSGKIh49fsJoekQQJR4y29gP6bKgqirWqzXXN3dsdhnOwXg65tGjczq9LkHQoIea17wuK/IiZ7/P2KwWbJdLjK7p9gZMjk5QUUIYp2x2ezabnUc81BVY0/jits2YZkTt/JRQCkMUQBopugF0Q0hCz9uXbdPD72CP/KhrdFWyWsx5/eJFMxkXlGVJnuVEUURRfbdN0HcWi2lvQJ5tPZcrtwRRQBilOLXHCeWlskUIQYhQMdp5qAEqwDhLbY33GWz8m4QI0cax2W7RpqI2DuEMx2dnhLYgkJLu8IhydeNJ1g1+XgiJUAHReMr548dgarLlkqDTo6xyhtNz1rNbVBTR7fTQmwVVVTM56dMNI/a5JYlTytqbqAZhwNt8x7P33kFby/r2ju5wiHGG8WSMLHb0REme7zg7O8IEMdH/h7s/+7Usy/M8oc9ae977TPfc+dps7uZjDJUZkZFDVdbQVV3VQEFXN4J+QEg8AIKX/nN4RYB4awkJNQWFBE1RE5UZOURGRnj4YG7Tne+Zz573GnhY+1zzlKqDh1IDGVsymcttuufcfdb+Dd/v5xuldG2H53usVyum0yl1WRAEvpv69lWgFR651E7eZ1qCyEcITVeVlJstb16+4fXVDYePzzgNT9gyJI0CjFbOw2GMIyZpTRSFpGlK3VSUmw23dzNaoxFtxzdffU07PGJ88ggVZCQyJmrXqOU1s5t3jM8mPHvxIccHp5SX17y9WHJe+UzHZ8jFnDRNeP7sjOODEVnq41tc6G7bsNkUtHXBzVXN+eUd/nbLqqp5eLTPl3/6Nes44L/7j/8B4XzNn17e4UuPsiwpVltn/q7W/NaPf8SfffUrPv/x9/mdzz/kiz/5U76tBScvfsDbP/spQxZ8/MFDZJtz8+acqybkODqCIOB4Avnbgq4tqZuaum7RrUK1ijKvsJ2iUR3GGjzhuTBvAdYLGIz33YcKB7RxUyZXLFnfZ3z6gNPVE+p2QRR7hJ5HNohJk4Q0jgh8yzANEHWJEhVBlDoplFbcXdxwt75lcDrkyYMHDNMJkXQxLHQK07aorqXcFuSrnLffXvLt+RXXyzliEPKH/+0/5Mff+xQahVGGuqowRlOuVqzLHF1r3l5comOP7DTlwZNTpuN9sjBDNB4+rsgkhrbRrNc5Tx58SkvMrlXZeT3cw3EHI7D4YcBoMCCSPkI7eWPXGvAltpfj1JWTvzR1zeXrO84vb1jmK9L9lOnRkORtCMKSDuS/67j4a335vn/vaTE7Hx3ivviR0g2sdnlzu/fYGOfned8s0n8bLNI6pLuwfUj0vcRqF/hukMg+INu6xtJzMq4g8Glbt0HzPInvhQRB5IiDbjXmLtG3Pz1cYrdXvN+d3Tepu1/phwn3D5R+0m4sJtG0iUJpN0TwvKifCEs6ZWk6Q6vdQzoIJb7QeHT4Yhef0aG7inq7Yjm/pcq3VKXz33h+wP7hMYcnZyTZAOH5O+Pc/bTfYeUdqc5ojSd9pwzoN0AOeW/Qqrv36aVpQuwLYt+5jWzXIIDR3pTR3j5BGIPvwDZ92n0vXetzFHvgyy6islUdt7MZlzc3KG2Y7E2J48gFFtc1Vkqy4ZjxdJ/R3pTThw85Pj2F6xsC32M0zEiTlHC3DY1CvDB0mwoLUeyTeh5p6iAvWMtyueL25pa27ZDCUhY50hhyP6BpGuq6xBqLJwWBEIRp5iSoUXQPggDuG2CM7WNMXLzP/cbkO1ufKPTIkohBmhJFAaIvUpTqqCsXp9PWDXEck6QJURT20j9533BKYd0yr1Pc3M755tu3rLclcZTw8OEZe3tDR/v1+jgEKWjbltu7O96dX1CVBVmaOqnX3pg4CumUYblY0jaKsmxoG4U1Tsbc1IWLX/E85E6GaN3QwOoGVE0sNKEv+61nX1zyHphq+vMQDF3tthzn796hupYoikgHA7Z5QVXX4Pt4v4GeRaU10op+K40jlhqD0hKNQPWEYoGTh2ujaNqWsq5p266/j9S9hHW3tZJCIH0PX3p41rp8PSkRxvQN4/tmFEBIQRCGRHEMGILePyyk12csumr5fcKeeP9n+3vafufeFv2Q+H4YgERK3zU6ffOqjaHrG6e6KlHK5bDuzkchhWsWDXSdpuksjQ6IfJC2xTMGQUcQBQQmRpia+e0Nv/rFLyjznP2DfbS21K0iShI3WOybW2EBq9HW0nSKTVGz3JRs8oo4SfGCEIPzkwWB19+zBt21bFZz6mrL4eGU6XREEITkRclmvSWIUtJsQBDGSD9gPN5jOBy66B0p7pv8qqq5ur4h8CWz2SPaUYKwlvV6y/XNnCRO2T+YYKXHbLFGK81wmDAYjlwGbRgx2pugjeX58+ccHu5zfXXB1eUVT588Iu0Jx3Xt4ibKVpMN/V7kIhxMsKlZLhdUdUPk+2jZD2etg721rZNsusevR5wE7B+fEKcDjLZY8/7sNsYNXU2vhhHCDTh3rAF3n8h7iXUSh+/PMlyjmOcbbq6vWcznhFHMo8ePmR4eIr2ghzMZdL9d71qncFgsV9zOFlRNSxzHfPDhBxwfH+P5TkprtSOlV0XJZrNms91S5jlt0+ALwd7+IQdHJ4ynhwjPp6xbkldvqKoaCaiu7fsl51F1RZ1xtTUGIQy+tMRCkHmS1HeKQq/foAJge0uR6iW2VUG+3XJ5fs4m33J4cEAQhGTprZPKdq6e/nXXr20W9w+P2M49kthHZ0NWyxnTwxM2ecH+8WN0k5MOD/D8GE81+EFENjlkOByy3CyJ0pFreuKBk3VECfVmxXA0oaorRqMxTVUxGk/xyxUbrQhsR2MURmmkDPBkiCcswvOwTcVmdtM/7DWPHj5Ga81yNkNrhehgfneD31QU6zWVfcOLD19wN1+QxQF4PmGYojaNEyR5MVEoUN0NXhAhtcKXPl4YEArNdlng+QP8KGEy3acoKpIkoa5aHpw9Yb6ckcYht7fXxInLyAukoF64QFXftvi6RrU11Srn4tUF//oXP+d/8p//54jbt3z78oaL5ZbBpCDyYkapZbw/IRCSKi95+/oNl9cXGAxJnDjAkB+wuLrgZrVgMNgDATrMCIRAlnO2y2vGJ0MePX1MJDxWV++o1jXvZkvs3kO+/8EBxz88Q5oGT1esZ+/QYchgMqXJS1Z3d5y/ekulFHbg8cnnH1O8u8T3AraXc76+uOEHf/B9TkOPP//yJcu8YFNXjJ684OTxC3wjKFY3HJ2d8TGW3/qtzzgdRWwfHNPOK776V/9X3vz8p5zuh3zz0wW201yVNT/8J/9L8jbifKF5OI0YpL7DIPfylbJV5GXFYrkhiSPCOMZucjbrgrJVKOmTN4bhaOKecMD9jmgnyWwb2tWcOBGMxnto3TDZcxKJ/ckIH0EoNZFpWK9XZAcfgpbUTYnvS2rbcvriMdPRkCwaEAcxnrFOX18VqKZgdbuisJZ8teHtt2/56S9+yaIqmTw74tkHT4h0iFWaVrlNRL7ZML+boQJBNdugJiE/+P6nJDIkDmP8IEJaSVOW3F3eoQNNFEjoNF1RMZ8v8PafuK3F7rXuhrDWQYI8q0l8n9BzWZGBJyjzCq0sWlhU56Q/ddGwXa/ZbLZcz29QqeKDDx5zuH+A3WjmL+dc6lsGe79ervDX8dpu1r2E1/bkOgcb8aXvZFm+j6c1+BrrBVhhUapBq4ZONRj93aLcPaRM/zfupFqORtnvH/uJexA6aaXX10Ge9PrpZD9ZF7t2sicP3pdOrmAH+hqqb+Dvpcj9Nv1+M/r+vtg1lzsfEPTgEF8SiYDAmH6z2G9RhUBoC4F10THGOG+SaEF1IBWYmq7Ysl0tWNw6z4cnJWma4PshXphy8ugRk8NjN7Ht5TS7hZg19r6Qa7oWrRS+J3qiZ4fxJcb4aCXByHuSahiF4IE02g2UOmfUD+OYIE7w/PAeWLN7A5zU1W01lVLujOgLxqbtuL2bsclzskHG4eE+Ugq6rusbfYkfJERxRhAm7O0f8OTpM8IoIgp8RsOMMAix1vaAGhcq7aJMBGEQEIUBoe8ogNZY1ss1i/kS1XUEgUfbNGy6zv1ZwPYbwrqu8ARkQjIcDhGiLyx299wOGGMswnQOgGD0X5HtSekRBgFx6BOGrhlXXUeD8wvtMOqmhzUkWUoU9lI6eO+PNMZlavYgja9fvuHyeu4a7MmQh2dHxHGAkK4QVErTth13dzPenZ9TNw0nJyecnp4wnkwIw4CubWjanKaq2W62VFVNpy3WKvLNmjpfu+esdFt+dq/bKIRq8VGEvsTvfbT0GW3WWvROnt9vI8p8w9X5O66urhCex8HBIXGaEqclVdOgrCaJE7Lx+L+xM+f/V9dwOOwHYK64FoJ+IOUa+8D3ep+vG4R1bevOM+0269CfF3z3WdMPp/q/0+tlrMZarNZ9qHovO7eGTmu0dY0hAnS/EXQDHAViB1Hrm4L7k7S///pfk7vNYw/B2W3WpRD4QdgrOwJ3xvZh5FpputDF5Vhr/upwTfZZk9IDJFVryEuNQWNV4Qb6bQmqpq23rG4vOX/zLbqrefHiGXsHU25u5lxez/CjEOn7WOQuJrc/53bNYsVssaJuFX4Q0SnlKNi6w5NRv7V1Wc5GNaRx6OTicUTXKu5ul+R5zYuHzzk5e0QQJu41B8E9FMf0r09rw3a7odhuOD09YjQaEYU+RVlyN1tT5JUD4Uz2WG3Ke/JyNhy5DannIxAcH59wdnrKZ59+wt7ehPEw5Ze/+AUX5xcMshRPSkcxblqsDAiToYORWYPst/Wd0nRKI4SHZywChRQS34JS5p7OLH1Jko04OnmAF0RYA36fFezv6LUYtA+yGyLaQ9oiIol8RoOYNPaJAt+pU6QlDDyS2NUubdO4nNjZLXVRMJ1OOTg4YLy3hwxCdo9q0d/bRimQUFQ137695PJ2Tlm37B8e8Pz5U8LeXy6gJ0AXLOZzZrMZTdsSBiGT6ZTJeMJwNCHJhgSho0Vr42BzXi//1p3CdO19ZqyjWeO+JmtcLikWTxi8/r8F/TBC9MMzo1FtQ1OVlHnOdrshzwuU1pycnnJ0dIiwMDuccf7unSOQ//sAbt5+9SX1NqdRHU21RfqS69s5WRqznM8ptlvausC3TtJW5x1tdc46DFBlSQ1oJG3bEUgf2Tl1jFK6x9w68tHi7prUKjpluTl/5YqlKKbtXBdtPA9loNisqOvSTUGV4c//5C8pW8MHzx65b5Y2xGlC6guG4zHhYMK//n/+G4qm4tnzJwg0m+U78HyE6fhF/qf9webTnF8ghKXZzhglHspzD9/FxVuU9Lh8JVE2ZbUtCCNDsbrBk5Y4CFG9vHG+LFHWcvL0OWb+DdLO6LZLyrzg6tUFbzcz/rP/6f+IfalowoS901N+6+NTHjx+CtqyWs6ZXzf33/DjswMOD/d58+YNv/zZX3C7WjGcDpkefcr3fvIjjAkp6pZk7wGhUGzvzjGR5eGjp/i1YlvmVG3Hxesrvr2+5ff+8D/g4Z4gsh2hH+J5IZNBzOxuxma5Zb6YQejxk//w7/FP//mf4XsRTdVQb0u2y5xX7+64qnP+8Hifu9eXbBq34WuNZv+jv8Ho5BmeJ1lvt8gk4Ps//JjEt+ydHPHf+/AD/jf/q/8151/9C/4H/9k/Zj+J2Nwu+dc/+4bDD37C9OQjPOEhDKy3iqbrJSHWTUI7QNUds/mc4TAjC0KMFG774EEapTz+7PskUYytlCskdpsU0ec3KUFdrHn98jVX12/BM4ymU04O9pmMM84eHvFoL0XXTj6slWG5XjC7OafQNWfPH/Lk4SNk20tstEHXHU3V0JQFSrXowEN2hvnNhp9/+S2325yu63jx4JDj6T62LKm6jjrPqbqGoqpZrDcsvZYf/tZnpFHKZDAlFoHb9CpNuy2p85LV3YKyKYmjgCiIOH/5lscvfkhqS/wOWuO2X6I/WaQ1DIzCDxTjTBD0wfC6dbl4uqcX12UBWKpNyd31nHfzGw4/OuYPPvuISAcIJbmplwxGQ/ZTxXiy/2sPlb+O17u3395753Z+AQc0iQh8H88L8HyXJ+X13itwZFyrVS+78e43KDufjSc9jPScD6YvQjzfw/PAw0ksrdV9eHM/4Ojx3Vp1aN05oZ1oqC33HoR7lOG99/A7Uqt7iSrQy8b+ipxWivtG9LtZZBgw2kmktLXYnS9JSJQRfei6K8TC0MezHqpSiK5A1WvKfENV5LRNR5bGjCcTAj8iLypk6IAsYRRjpcSq3RTzfQaZ6jrquqGu3BkYE7riSnV0ncseczJcD6zot40CpTRlkbOaz6nyFfv7++wdHuP12+BdvuRO1nOvc73ftPm0TUtRlqzWa+5mM7pOEccJUZw4CZ419z5UKSEMXLM1GAx5/sEHHB0eIj2BLwVd62jJuwlzpzp8xHdktLJv990WJC9cRJHA3EOGhJX30/LdpY3LqwtDjyj00V2DMk6W5/uee1/7LEatnOzIeRYdLEEK7hsE6bnhQts60qoQFqM7TO+TTdLsPuNttz26l2VaXL6XUtR1w9X1HS+/fUtZ1XjS52B/wnQ6xpOuWdCdoq5rlssll1fXGGN4/PgRjx49Ik1Tt/XtQU5Kda6oLQpH4LSO6lr199Zg0uCr+P19KwGj8YQh9gRBAJ7cKUsMWu88jtoVfVqxXa24vHjHYr4gjCKmRydM9qau2ZY+w8kEPEmaZUxGvx768Nfxevf29f25IXC5ikEYEkdR77F1igLZ+66UVn0Ei8Xi9xvF/r7oP1MS7u9VsfMY2h4ipA3GdDSNpmmdV1lbgdaaxXLFarlyMrn7f+P9sBf6beF3pNT3AzHrZkCet9si9dLk/rf6nk8QRv1ALrj3WO4aVtXH9+w+Yrt/W8j3nrOyatgWDeCjqyMYZghV06zvKBa3bFdzosjn0ZMPmR4eoI2gUbdI3yeOk++oUHZ+SXe+dp2irConhcXrCcHCeSKF7yTqnsSTYD3HVpDW8TrqquXy8paXL9+yd3DA3t6+I2/6Yd98v/dxGmP7QZeLOBmPhjx7/IT9vX2qpuXy+pKvX10ghGBykBKGIZYcixsIZoOMJHGLijAMefL0GYM05ujoEE8KJpMx+9M9qiJnPpuTZglWCAbDMV6UEIUxXauQXovtaznnHZV0SmM98LS8f37W4DKl+7PSD1wDVZclQqreruCUd6ptMF1NV+VsFzes5zeouiSKfLaDhEEakyYhUegT+pIokNRFQB55btDV1kgMxyfHTKZ7RFHSWyN2Q2Nzb9Ew1tA0il/86hv+5Ge/4PJ2iRUubmg8HqGNg9IYpSiKnMV8znKxRGnNZLLH0fExe3tTojhFCK+f6Tni/Wq5dAoifwfFcV+bbion2JZu4LC7UaWwBJ4lEBpfuGbxnmxrHVG9q0q2mzXr1ZKqLJ18OAg4PjpkPB4zGGQYY5xd4OTI+e0fnP7ac+PXNov//F/9P/D80BVNSUqZVzRlTeD7PH66Ynl74z6A/cRbSo9GtWTDgZvACEsYw3gc4scd+B7Gh9nrK8Dj/EYgCfBtgDTQ1QaFdUZ4Oeflm3mfwWKoyhyNpClm99jdZCIJO5/lak6cRCgFXpEjfIlvDZHuePg4RXUCIbaEwiOZGOpyw4MXn7O4ucL3LNd3C27vauLIp45DvlhuCUKP6dBJA4p1Rd11pJlBNFuUjJmv1gyyiOVqjZQeQRDQlAXECcvZOWfHR0S2oKoqlrd3LLuKv/kP/5BPnn3E7a++5G624N1SMQj3+cXPfk4YRXz82WdOZqYNZb7lzatvefXyFdp0ZMMBUyk5+/gxn33ygnpZUHoBd4sNx49HDKVhGwqmB4+IVMNytmBbldzMcv7kT7/gTlt+1FTM7+4YxRFJIIjjCIFP5MfM53dMz045OjrGbxXVtkAkIeffvubLf/lTXq22XNyu+bv/6A9Qt7e8en3ORneOcnd0xmR6SmgN2Jq9h2d8/smnHI9C6qql3pb8yb/6Y37xR78k/sGH/Ff/9J8Rej7LQnH2+e8zSSZwfcF2eYvCZw2sLr6h0y3SE33WVovwAv7w7/19bFnxzS9/CTi0fpoNiIOIqcrZ/PT/hq8NaEOnTR/aLTBWkIQ+E7/l82ePSURLF0kePn3MaDhgPEmZxAFiM2OzvqLSDXa7JkoHHD04IRqm7E32iIUPvmsohDKorj+w6pZOK7rGsLha8dM/+gWvbu4woUR4AXt7YyIhXYZiXVAVtTMXr1Z0YcfTT55zdvIAW1lQAnxL1ymMtpR5ze3FjHfzK0gDpBe+l+21HfXNN1Sbkng4IC8LjDEEcUhT1ejDKY8fHBN6ThpklQar+4emC+3e3M1o6Gi6FvYlP/jkY0ajMdNsD1MLmrpBWIuXhTx8+oBpMv21h8pfx2uzmfdeCFdggiXw3j+035fsrkg1vXcAa9z0r6elci/3+w6J794n54or35OAe3gLKZ0/JY5dY6ndxrJra5TqcM1eXwjdY93eQyNczbxr+N4XbPdV3H1J2PeWQtAHZrhf36lWbJ9B1em+OfpOLqMEhA/S77MQXT5W7RnQNbreYLotHi6CYn86Ic2GRHFKXTest4UjCVscHVW76foOpqO1azzazoEXtFY9IOO9V8mafuPbS3htL9ev65rNYsHi5pq7mxu6ukRYePS4eQ+9+E6TaO09AqpvyNxrvb2b8cWXX7Fcrrm7mxNEIdLz6JSmbVuUckAFt4npYTFKE4YhJycn6KNDt7Eqc/LtFm0MTVW7SAzdgedAR9KTvfTPFdJt19F2jdsQ7nIUcU39znNi+yYV4Qr70XBI6EvaugTf3UOmc1EVu8JedTXldgWqRaDB9jrbfj2otaFpDR2u8BLC4HuSOI7I0sw1DPfyPe4beq20oyoXW5q6ZL3a8PLVO+bLNcZaktDjcH+PLI0x1t6/f6vVitVqRRSGnJyecnp2SpKk/b1n+42Kpqkq8u2Wtm0w2vSfM4NqKsrNkmb/kCCMEdA3vAKJJfI9Yl8QSI2wrukw9NtFq7Gmw+iOMs+5u76m3G6Y7o2ZHB4T9b5WpTUyCIiyAdbzGGQDkt9AGurt1XkPgnFNiyPN7oZNbguuzc5HTC9Pc01UGEUksSPbhqH/PgPQ/eF7VL+T5yvaVqGUcgMLIQkDn8FgwPHREVprrq+v7j/vuxnOTirt7eAk/ebwPkaAviEUIPpge3fOOk/XTmrcNDWiLu8hZYL3Xrdd1MEODuXgT718VfSDP68Ppe80cZLhmwzPgOkqyvWM7XrOYJRxcnpEMshQ2nJ1c8fl5S2T/UPiJPuOBHonnXTnVtO0tG2LtS6D1vN2pE/wA59BGhEGEk8ajLBEcYjREZvNhndvLvnm5Wu2RUk6HLuMwbZGauMkr0Li71gfsoesCcFkb8J0OqWsO75+dcG7y1v+4ue/BCwvPnjKcJC57L3+LPJ9n/FozHg0dmdCEBFFIV1bYXVHXeYILPv7E5qqpK4r4jRlON4jGwzxwxSDgwd1TY1WnduIeRJjFHhu+BqEPuPxyPm3m4bWWrS1RL03O458mnyJ6dsVIaRT2XQN0nT4tiX0LEnkowgJgv4ZFbrNYhQG+B4INHVdUhWOz5ClMdP9A6bTPZez2N83zubgrBC6azG6QyvN67fv+OM/+Tlv3t3SGAhDj8neiCCQNK1TFxXbLZvViqIoyLKE6cERewdHZNkQ4bkhp9EGrZWz+1ycc3V5ge663oYi8bCYpkLVubO4Ct89F3rVURh6JL4lkRZfaCS2F1ForG7p6oLNasFqvqCqa/wgJBsOGQ6HxGlCFEV4vo/tFEEccvrwjJOzEw73D37tufFrm8Vnn43JV4bD7JB1UfHs8QM2cxdAHkUhRliEMCihaDpHTRRGkd+WdEaRnQaM/YSyNqS+R2gNbdmA59G2irpS6A7ytaJYGWwX4UuBkBZfehitaZXm6PCAqlnx9IMpfmqcVEd1xKMR5bZktWrQW00QRqjaMhiMkNKiy4Lt3ZL9wz0yQkQHloAwifjl1/+aQZKhNnBzs4UoQSlD23Rsq5LAJrS2QnU1re7wIx/daYJYYkSL9TQtDSI2dLbFeBCMLcZUlOWa4fAx7fUlq+WSLvX5rR/+NmeTI26//hXrzYpv3l5zQ8xvTyecHZ06T9z1NXVZEIcRSnWMJyO+/8PPyTclf/qnf8bdZsXvPvhdttd3LArwJhmtaZjEArO5ZToOiZqczWrF9WzO67dXXM0L5p1merKPaRuuz9/xrmlI44DxeMggy8B6pPv7HO7tYbYbFosVxbbCJAH/6v/+r7i8uIJ0xNOPnjKMPDabNaODKW++eIkOPAIhYHsLqwQd+/z4Ry/Y87dsb2/58hdf8+byms4P+Af/8/8+33vxIT/7t3/Oy1nJsx/9Lc6efg7EqLJmmCVMjo7p8oKB95AsHVHULXKTI4Eo9PjjP/9Tfu8HP6JDUjUtfuwhPJ/B3pRnh1NitUFIn2R/nzAZc/nqG4Z7E0I/RudrlCeRYcKDD17QoRgkEVkSMEwiYmHp8i31dkUhDbaryMYHTI8OiXtZh1UGozVg0G1L05Q0XYPxJUIEVHnBt1+/5ldXb2ilJg58Bkdjnj9/QuxHtCqnKCvyqqQyLdnZgI8//YBxOmIQZWjd0ZkGqw22a2m3Bdv5llev31IHrjnX1unitbFs1xXHH32CETeEw5hHH31O7Ds/WKMUvmcY+hWeUaDd9N50irZpUaqlLnO0cJ6U1rM8fHDE2dExvomgleja+USX6zWjRxNefP6A/fg3T5rVtk3fGr33+u18DoHnsu66rsVqcz9xNFoBpg9C5zuNSB807rSOaNX/HtyzPAgknnCgCWXF+0l839L53q4J3BVLoi8CPN4TAr1eYiXup9LAfej0e33Ydy7rmsV7JIUQPejD/bLLmnLBxPY7/koBjurnuSmv9SW6EQg6hG6RoiONY8bDAeOxgxwYC22ryTc587s5XpQw2DtAeCHGyh5q46RnXecexrsHtLUW3/N6uI10G7n7rDXXMBvj5HHFZst6sSDPc4zaDUFcI6a6zj2ghYeVTldk6eXC1iKkpiwKyqJkOV/1W0pFVZZEsYuG2Pk5rAXp+wRIojjpZZlusJlmA5RW1P0Et21b2qahrmsHjNKaKOqI4gSsIQgjhHAbUYslS1NGo4ybK7DW4Enf5YlJR5TUWmElCGlJ0oT9vTHolmo1Q4ZJf+/03lnlCsemh8LotgTVYjwfbXw61VF3rrDwMGAVnoQ0DsmyAWmWEoVRTzt1331tBeDgQ03TsFwsuLm5dpvgquH6dkFZucl6GARMxqO+IHRZXtuta6CTOObgYJ+Dg0OSLMWTnqOzKkck7dqWqiqpywrVKUc8tBaDpWtbNqsl2XKGRBAkjpoa+D5+6PVbW5D3HbHbtu+add1WlMWWzXpN1yn2D4+Y7O8TpgOsDBFC3Mvfwshto+IkJQh+8/zZDx89cJ7PvnEy/fbPNUoArknqOkXbORJqWTc0ncIYqJoWpU3fkDiIljHaQUl6Gb/+DlhJConfF8KqFRjtJOZ13TCfzfB8SRCE9/L/nf5PCucvdv/OTqnRb+XF+yGa6KmunvcdAngvR70Xr/ZKI2OdasT2cu3vDuOk9BCBA7l4nv/ex24hGwzJshjPA6UVnVIkgwGnjx4yGg/RxjCbz/jyy5ds85qnL/YRnk/TtoC4l7zXdUNZlbRtC9ben23W6Ps8VF96zvPcUzh32zijNbdXt1xeXNK1LVEQIIWLopCe1zfo2jX0gwFJnBFEMUHgGmnP89mWHV+//oI/+vMvWK42BGHI7/z23+DjTz7El5bZYnkvBw78kMFwyDDLSNO0z9o0bFaG1XzNZrmkKXPiwMMn6i0ukjAI+gxVN0TQXU1VVhgc5TqOQpQyeEajpKSVTv6vus4NDJVC+D5JmnF4dEjgQdcUjjfiBwRB4Px5kY9AojsI5IDYNxjVIgQkUUSWRqRxQBT6eL2kV6LxPUGaRGRZSpol+H6AttaBnHqPn2pb98zvz/HFYsFXX33L7WyBMq45i8KQo8MDPE/SNg1FkbNaLOnahuFoxOHREaPJlDDO4N6O4GowrRWr1ZLzd29ZrxzAzFiB1D5NXVFsV+5+bxvwQqx0jXWUJsQyIpQCXxh80bMQlEGbDtWU5Jsly9mMqqoIo5hRn7MZJ44SvnteNG1D3dRMpnscHJ0wHGa/9tz4tc3ixc2Cw8N9/NBje1k4LKyE733yiPE44eHwEZ5Hb6Y34ElH2bKC69WCl6s75oscKSxdHdFpl0fm+RI/8FDGkYOSgWA88pmMjjge7KOaml22mDWGbb5Gxod4vsVqQITM7xYIBry7vHNGdF+Q5+7PdVYjjE/TrVHG0HYbksQnjDyCUIAyWOuzLUuG0R7Dwww8gZAd0oNhBtJvsLrGRi2+Z+manE1hiIMEYxuEtphWIT13mNSNIk1i6m3F/ulzVLWlWMzppOHJB085GO0jdYAqOmaLNVfzDfZwQpPXfLv62m1K45RhNroncc3mCxazOdt8SzIccJxEmKbj9bu31OGIkRfz4ZNjomaG7DaEqiS/ueHdu0t+8fqc2gt4/PFH/HgUoocpP/nxD1GbDW+/ecX5t+d82XacfPCMH3z/e2ReQLlcUG223L65wgiJqRW//PJb9k6OCOOMTz95zvEkJTnY4/rrN4z2hvhxhp+NGUrF86OUxLYktmB1ecW3X73ip3/xFd5oiF+V3Fxc8MXPv2IyOWJv/wxRllz98k8oNs4jI9Ckb2P2hgPapuXps0f87Otf0rXd/dS9Wq/5L//P/0ekdVPMveGEqmqIsyHX13NEZ4iyBJZbIs+nVR3zxQwfV0hp4XM3nzNb3qFUSzqIGAwTjg7GvHgwZtjmtL5g/8UnPHzyIYGJAHeoC2sw2vZRF24DooxFK8P1yxteX92wbGrEMOD04IBZUSCk4PT5Ax49eURgBMv5lqvZNTYNOP7gjJOTI6bZGN0ZUH1elYW2bhwuXlkWt2vm+QaReljdISw0RUPdWX76r/8t/+aPvmZ6cMLx2QFlVXMySQg8J42MsxTdarSAuqwxnukjXNYU+Yqi2mJ9GD844PjwhFEyxBcurLqpNFVesVmuyVXN2fNDDoZjQvGb51nc+fC8PkTX9z0GacpkPCYIfKqipCwLus5lkForsB5906hdcdVvyZw8qpeiWhBGY7XbDoWBzyCN8T1B23Zu09d7aVyB4+SK7kbY+RBdFmGnQVvdb8xUv2Hk3nu4A07QN5dit1GUuzaY91N28V5auJO1OnmWvS8id8WfwCHXpXEACKV674TQpJFkNBiwPx0yHI+IoqiHJdXUVcVstmC+WBJnimKb4+0yvOijOCz3her9axDCTYb9oPdPOTmvlDtarZOwbTdb5osFWimmexMO9yZY3TEejfCldARlIfooCTdUiuLIqQ2so1rP53OqoqCqW+bzBUHg/E1xEvcZhm4QsJMgSw+CMOypiRJpPIquY353y3x2x3oxZ7NaUfagKCyEfTRKkmSMxhOG4zGj8QQ/CIjbgNEg4enjR1y8eUNdt0SeBz3QRiBB9hAeTzAeO6/R8vaKfLvGD13Glwsad+Q73UtfXfi1cllkOkBojVE+beMThZLQFyRhwDBLGY8GDLLMbVS/s8ER99I5wzbPubu54eb6mqqqXCajF2CMRBsHGEmTmGyQonRHW9YUeUFZVQRByPHJEdPplDAIeyma7bf5Cq07VyTlLqdx17jswCWqc7FT4p3Hdr0mSh2mfjAY4O9PEH7i3oe+uXTNgBtEqKakKbfk2w3aGMbTfcZ7U8IkA6/3lPWSZilwsnM/IPj/gJL/63ptN0U/DLL9UCwgTiLiKMLvhys7LYK1lqbrWG9LVpucomrvG0F9DzqSCE8S+j1pVCmEtERhSJrEJFHUN5VuSBMnMePxxPmoii1SekRR1G+tNZ1WNI1TGRht7htC7zse691AwMmqwfM8PL8fnu0av50Sg37w0b9m50fbnY58R6EBQhjHxBAaaJy6x1iaxkGB4tCjLQqEJ9mbHpBmAxAeVVnz7cu33N0uOH30mPHelFZrVLP7O9T9JrdpXZxN6PtEod9Ldp032xPGeSy9XWxJh+pq8s2a2e0tXVvz/OkDgjBis82ZTKckcYgUhu12ze3tLWmacfboMb7nY+8l5Jbz8yvevrtik9d4vofvh7z44Dk//tHfYG88YLNeYe0CTwqiKCKMU7cU6iN3qiLn+vwNF29ecXdzRb5ZYbq2z/Oz+GGEaiqK7RbpBSjj7GLgSNPZYMDDhw/44OlDfvbTiLKoUBKXI9t1BJ7b0HXakAUB+wd7ZGlAsbrFrhcIY+4HuVq1tFWJNpa6qSnyLU1V9t5Cge9HDLOE0SBlOEgYDhMmw4zDgwn7BwdkPf2evnFTyg1JVdehu841f9utYzhst6zXW8qqIehzY6UyHOyNONyfuuSA1jEoBDDdP+Tg8JDBYIgM3qvAAOip313Xsl6tXKRUVd+DypTWLGZ3dG1LNpgTxDEyiBB+RBhnRCcn+OmUQHh4wkHfhNW9f7yizF0T3zYNWZYx2T8kG08Iw7CPcHk/2N5u1mzWa05OH7hBpvfv4VkMzADZRbSq5c27SwbTMbHnkaUZvuezNQ1ZHJD5HZE0rNZr3mxWHEwO8WVAtVZoLyXyBbfrhk2RE2UhWRYgadlua4IgZphFPHz4lPFggNcULIoVk4M9xmGE0JCGlly3dPgcPnhB2yo2eUAcHXB2PAKtWC5m3K02WKuRA0HXKOrO0HYNwlfuwY8mTSPQBk+E7A0j2jwny1ICLHVb06jGSWKsIJCCxaIgm4zQraGpOkqvIRoE+BpWKxc/URcdxkqSgcAaweHDIZu7OZ1uePDBc46mRzTrLeXmlsvLc15dzFiUHUdxjO97DMcj6rJhuVyy7h90ste6j6d7JFnKpsixmxXbPCc9PGSUTqlazXgckpkNbX7F8vxbrr59y1fXt0yfPeB7n3/GcZRx/eprFl7I/OaOzPd5+PgBgdb8qz/+U/ZfvEDVDatiQblecf76La9eXVLqjgifJx89Zy8dURvNwweHPBhPuPjlV1xttnz0vU8o5jmtnxBIQZdvuHr9FXeXr1iv1yzyBpNm+Lrj+vySVdvReR4iHONtLlneXIH0MAKePX/EZBgShZJPPzojX294fPz3SQch/+z/8s84+fhztssVWikWns92u0VbQzYacXxyROL7XF3fYgyIW4MMJKNBilUd26JGhC7DzkqJH/uM9sc0VUkYuAmYUg22LemEIjs74fTsEZF2Ez/pS1fwG9Ctoq4rtOool1sWyzV3N3e8fHsBk5Tx8ZiBDJmNb4iDS7woAGvIF2u+eruiKgu6wHJ8csDJ/h7DZEASpbSmRbUK3dY4MXYfVi4cZKUqcvSwz4jrNGVZUVUtHpAejpmtCy4XBV+9vOTx2YhnDxKeP5zi42OUocPQ1Fs6qRHaIfI7FOl+RjYaMD08ZDiYEokEVVSuyGo1TVGSbwtMYBiOYlAGJX89Yvmv4zVMYvzAQUcQgtD3GQ4GjIdDwigkClzj0jYu+NdtFDW6l9lVdUPTdnSdg5HsfIGyHzJgLJ7vgsqn032i0Kepa4w1CK/3AIkdF7X32fp+v/HQ1G1HUXdUTUfX9d4e8x7cgbW9hKsv8++zzZx0USD6EOvvSGPFbsdoe4koji5n3GvQdncW4XyZ2kVjOP+bYZh4HOwNONyfMBpm+FGMtdB2irZuKPOC1WpNUdbEQweS8qSLd/EQmD5vTPZSLL+feu4w+1K+b4al516X85VqNpsN11dXFNute2hPJ0S+h25rMIa2LFjcXmOk5yAp0mc8GeNNxkjf5S5qZVivV3Sdy/CrqgbpOZ/OYDBwmY47v5SAoJdltm3N1cU7LJLlcsX5u3fMbm/ZbtZ0TYPWHSAQ1hB4DqpgVIy0mkpyPxGOw4As8hikCd/77BMu3r6mWG/JkhSjnGe6rGo2hUJjiYKANI6oqpJNkQMgPOkaWc/rszzlPZjBip0v0zX4yhMoaQk8ENYnDiLGw4zxeEiWxi7iovcKuRWtu7e6rt8mXl8zm92huo7RMGM0GqKMIE5ipHTyKddwyF5mV9F2HWmScHDovFVhGPZbHhcjovuNYpHnbDZr8jyn61yciumlxwa33dWbFXXd4N3e4AUhQZhwcHRI4j1nFB8g/Pc0SdlnTDZ1RZk7tgKex3g8YTAaE8apa3T7z4LRDk6vtEEZ03vH3Pn/m3bd3Ny5Daxw3tssTQl8D4Kgp2obBE5W73keURiSJM6/V5QNTZ8JZ0wfv9HLKL2evKm0A5bIoUSm8r3P1Wg3CApCgtD9SJKEOIqZTPYQCLftqBvWec5qtaJtu3uvrBG7M0DfS0hFb5h0FGn5Pj9SfFetsVPkm3tS6n2wgH3vi3R+RdlHd7it/m541jYNwir2Bilx4LF3uMd4OCAIfIq84pe/+Jqvv3lFnKScnDkgS9MqmtrRoN176oZjvuchYokBhLAgPOJA4gmL77mG1FkfDHVVcHt1wfLuCnTHw4cnHB4e4PsBb96egxcShgFxHJPLDdv1BtV2HB0dUZdb9HbjlA5tx1e/+pKyKEiTjNF4hOd5HEwnRIGPUU5d5CBbAaNBhhdGVMWai/NXtE3D5ZvXvHv9ks1igVaOiuvfL94t0nfJAFG8JooSojglSVOywZA4jtnbm3B0cED6B7/Dzbu3vHt3jpSC9Wbd309uQCmwTKdjHp4dIW3D8vbcPVe7Dk+IXrKsUZ2jbFssodAu81JE/WDPSWbTJCJJI5J+iDWZTMgGA4Iw6I84N+hVSqG6BtU21FXFerFgdntLWZYIIcmylOdPH7FcbajqhrbTTCdD4tC/j6UIw5DxeMJoPCHLBnieR8/wdrUnDvakupZ8u2V2d8tmvaVrO1SvFKNxxNW6LNnEy1415IEXkI3G7GUh/v4Aj9A1iVZjTIdua8rtmu16Rac14709JtN9ksHIEZ37gbFRyqk5uo7Z7YzVcsXZ2cNe0v8dX/C/4/q1zeLzgzMGSYxt4ZMPP+KjDz+mqhSVlxCEIZerFYfxAVWZkyWCZP+A8uYL8mGCiBKenoXc3a4xnUQQ85e/+pa//3ufMxyPubhbcZIeMN8UfO8nf4tnD55QLuaIqOBm0VF2Ax48/pCTwyOKqma9XHBxfcWPf/cf0WwLHp1+TFNtWd7d8NGzZ/zT/93/lmePPuLi6opQTkjGIaeJz3Yx4+r2GhNk3MwXxJEjEE7ShCdPP2Ixu6PKIRyNaPIFIthjfzplvZwjtUJ6E9rKA9WQRSEGy3i4Rwjo4pLDs1POjh5wcX7Bcr0gHSQ8mJwRNCvivSHj0T62NWxurinzgj/7i694k3fYZMDR8SFhHKGU5vr2lq5refjgAVobAt+jqSs61WG1ZnZxy/Bkn8ePH+K1HbmKCBKBUR2RJyiWF1y/fctNueHTv/lDPnvxAr9uWV1c8O7tDXfRlrubFQEOzb6YrTifr/k8iNjczbl9+4Zfff2S6ckxMk1oi4JvLt7yj//Jf4ef/8s/QgeSl19+TTE95PLNBevOMOgMSrVs85IwifnZ7RVvv/0ShKIsalS/HbC+h/ZjlPIwFtbbEmEkVgriLKNVHZ/98AV7Xo1nDYFZMRkKpoMh015u8o/+yX+MXq/5+R//GYvhmLfv3nHw5CGHRyek6ZDYE3z98muM53N0dsQgG4PvU7YNySjDExIjoO46Hjw8YzxK8SWMxgNGSYzfVrSLd0RZxGhvD1spatEQhCHSSnTnvAttW1NstlRlyez8hreX18zLDQcfnfHZxx+TyYTidsXidMHBxTlt1KOUO0WjBcnJPo+OJkwHI2LPJ5IBXaPw4xC1doe6RdOWLatFTmcMd7M7dE9SU9rSVTV101J1LVlbYIprmgC8ZEJZGX717YJCDzg8mTJSGk9rWt3SdTWt6RDSQwWKw7MzJuM9YhlhlMazDkpgjEW1mrqoyPOSzbakCTu6tkV5Hsb8OySOf82vo+kePR8BiyDwXZHvSUcjDfyIONZ4nt9vQzTGaowx+E2LtoKmUUipnZzKWCeVkm5yHwYhg9GQo+NjDo+PCHxJW1do3Tkwyk5Kaul9j55rFqXEaEVR1myLkm3pcl2N3sF4bA8+6dvG/jXsYCw7nLjY+Szv/Y3iHo9PD86xvfdBSkfvk71HUMrddu69nCwKfQ73BxwdjRhmCUHguczQpiPfrFmvNqxWOXle0mlDmg0ZjEZESYqhLx77e02qDm20a2p3X1AfKGx3OrDeV2SMpq1rFos5RZ4zyFL2p1NGgxRhDVXXsN1subu5Jc9Lil4+F6UDPv3eZ0ThM7x+Y9h1irLI2UXM1G1L2LkQ6B3RVCnV+yh7MIPR3FxecH1xQV4UrFYbNpu1a1CEIAoDBklMHMdEUUAaxWRZTNTDQ1wRFffnikbrltAP2N/f4/mzxwTW8OTRQ3whqeqGq+sbfvXlS4q65vHjR3z40YcOyKMVCAf38AIfPwjvpcI7D5bqfYb0m/IodBTUOJRkcchwEDPMEpI4xvf899tmem+pUtRVyWI+Z7Va0dQVk9HIFV5ZQuD7lHVH0DfVO69ZpzqqqsLYjtFoyN7elNFojO8H91NtrPM+NnXNdrtmvVqxXq0otgVtq9A7X6sxaAMW4/zWddtvfiR+EOGhyA8nqL0M22+20BqlG3TrtttKKYLIZUUOhgP8IEJ4AQjvXpLoNmKaoihp2gbPmZxAqf/vH0b/DV8nRwfEUdhvl5zkMYoiJ8frNx/W7iA2EokgMU4CXbWKTjvfsbGq9wNLwjAkCsN++2+Io4j9vQmj4QAp3OfIGE3gB4wm457GGeJLj8FgyN50HwlO8lrVjDYbwiBktV4B9JmkPtYal3usHBBH9Rt12VNc49AjCLz7bNsdxMv7TsSHgHvgF/BX4zyE+zzFcewGG+B4CViGScQojRmkEUkU9vFGii+//Jo//bOf0baa/aNjkrT3KkpJFLnPujUa1TVORYFAGjcsEjhlSRA4CE8chYRBgLWatu64u7nm8t1bAmk4PTnk8PiYKI4o8pL5YkVVtWgtkF7IxcUl796+YzrdY7p/SFJWjuyrNEJI1ut173nzybIEawy3t7f8/Od/yWQ8pGkbyroGXHOuVcPN5TnrxYztesXN5QV1njvAWZ8RS3+OKmMQRiMDS+L5DIZD9vf3XfZimhJ4fp/lapDWEPmCg/GADz58jrGa+XzF9c0db9+d4/sej05PmYyGqLahrWqMtvhSkCYpWZbhe07aG4ZRn7RqCUInUw3DCM8PCQJ3b8dhQBwFDNKYqKehmn4ItPPLq841aNvNmtViyWI+R7WtI5hOp0RxzGGRM1usuJsvKaoaT0Je5NTNmDCKSbMBg8GQIIx6Crar/VxD6razXVNT5gXXV5dcXV5RlmV/xlm6Pl/S81V//nbsQF5WuDrAtBWSnS/bYE2L6RqqfEO+3WAQTPYPmUz2SNIUhHTPW3aKod4zWzcsFivaVrlcWaXQ/HrJ/a9tFg/2XWbM6aMzVPCKarvEEzDJxtR1Sxr4hNJj2wpkMqFqJY8ef5+rqyuePn7K5e0XDIZ7LBcLfvjxBzzc2+Pjh2fcVRsGx/tErWKWGb7/0Q95+uCML372M768vMXIAVVpGe494NPPf8j52zfE2YjPf/gjRsMBt4s51fVbsthjs5zx8u6KcRpwd3PLT37y9/AGe2ir+PzTp5jVLW/enaPiIaqumV1fs390xPF0DF2FlQOMtGRRjEeM9nwWyyWff+93EMZyO5/z4fNnznRvDLZq+eM//TOev/iQ0cTn228uePrgU/7O3/4MYy1/+Wd/zmh0RNpJEhmhi5zlZkOYjfiLn33FeV4zGI1Y5C4gVWvDYDTmBz/4PhqYXV3x5vVrssGA6d4eqskJIp9PPntBvD9kHIVcXM2okn0m0ylxGFLcveXm3RsaofjkD77Ps8MjWC9ZL3Nubtdc5h2dKljMZ6yWOW8v75jnNScPj7h8945FXTKfzzj+8Bk/+sHn/Nv/8r/CaJge7fMnf/wzVpuCOJPMNxv2Dw4ZjMa8+uZrRtMD6nwLfsDi+h2dsYSDIbYpaPUGKywySRikKcvbNW2tMDLgbr7FF5LJyQHf/8lPiCQMBhNEtUSEAdbz8Tyf86/f8NM//Tnp6RkPnz9n6kt+67d+m83VDf+n/+K/YB0L/tF/+reYxGN8kfHhp98niFOn3+/X7UVZYpqWcrnkdnZHnedcvb3gQnUcnh06mUiWkHmaKBKkwzGxl9K0Fn8YgYW2dhh6ZZQT5UmB7jR5XRGeDPnb3/ttjvcOCJE0mxIRZyyvZ0hPEkcecRSTZBmnJ1NGw5Q4ThnEAaLVGKVpVI3sBJ02xEnK6mbO7HLB2/NrNl3FcnmDl/UeIN257DVlUMKDwEdUW5avb8llxOnzT8nGYwZDd0CbTlPmJVrUCNNRVSVBkjA8mDKe7DFK96A2tLbCNJrWNvfht0orrHDZaI1oHAxE6R4A85t1xWEAOGmVsU5Cao2hbRpUtyuQzL0PxuCkjdKTBJEk6fMHw8D5XKSUhGFEmmYMsozBcEQ2GjMaDomT2MmO0tZ5x6S99+a5DWE/Ee+7V2s1QeBiVMKoufew3MNfdtsvnC9S997J93EZu9/XwyqMeI+at8AO8qANVtke4OJ8f+zQ8kKA54owz3Nezr1xSjqIkJ6TCTZ1w2a94e5uTpGXtJ2m6RQWSZINidMBvh+6r8840qX7t/pJuoBenOhklcZgNP2evY8ltm4TJYH9/SmTYUYcBS5kOy+4fPeOq6tLJxsqa9pOYYG9g30++OhDFwWga9rOASa22417lPbQC2Nt3+i5QGylXbNojIEemNLWpZsGty1JIEgP91zkiSdJopA4jgj9PmfRDwjDED8IeqJgRBAnhEFMGEqMbim7mqLcIoRlOMx49OSM4TDFIni6fkSSBizXBT/6nd/hyfMndG1HHzd233xpa1HGYpD3ntpWO1iRNdZ5ZfvYnCiQpLFPlrgGNgj8+y2u275Y2s5lrm43G9q6YpilHB5MCYLoHvBjjMHrLE1d07Wt80eFfVaeJximI44Oj8gyl414v+WxTvpVVRWr5YL1aklZlOR54eIyug6lXIGl1I5GCMIzCPn+3tfWorsGjMLoFq0cfAirsapDG4UMPNJgQBJHRIlriFxQO/fbU4fr79jmW+bzeX+3QRC4wdBv2vXsqdskWCv6+5p7ijN9xp2zm4meDml6STqEYcBoNGQwHPYxP24IkaYxaZreD3ziKGSY9c+gnbzPGoIgZDgckiYJneoIw9htn9LMKTL8AOH5CN8HKRmOBi7/Mk16+TJ9ULrztimtMf2W1JOC8N6/7Z5RAnGvtoD+he3OS+M2ez3z6X6vIoS4jzSi3ypiNGkUkESBi2MII3Sn+Pabb3nz5g37+1Ok52OBsq4ZeX4fnSOxOH91bS1K1f3n0/b+ZPes8XqZrd8rA3TXUWyWbDZrsuGQg+mIvb0Rfuiggedvr3j96h3bbc0vv3hN3m99u67l9Ljg8OiI6XQP6XkEUYTnBajOgYa0dr5sYwzFVjMaDBiNhni+awfMbvhoDaqpaUyH7hokTo4fSI8oCnvFgnKNjLUI4SH7TPIoTgiCEE8K91lUHRqNlpbF3S3XFxd4Aj79+EMePHyENpZvvvmGf/kv/iVxnPC7v/+7HByfoq3b9jsrkLhX3BX5lvV6fe9Pt9ZiO+VqFwueMlgbOPiLL/FlSOB7Tg2kFeBiiXT/tblnwZbFwtFD08GA8XjC3v4hfhQ6JVlV3T9nfc81b23X4YcRo8mUJE0JwwCs6JU6DmTTKtXn1zo58Wqx4vL8iu1m6+SpQjoZfn/uhSbA6z3xrsl0BGHPd0MHd96BsBrdVjRVQZFvsUIwmU4ZjfeIerUHZpfvbFH9Vt0aS1lWlFWFJz337CxKfP/XK8Z+bbMYygohPZbLd+wlhiDsAEW7+pY0SjlJGvzujlB2tBuHCh+kEc/2Le9+8a+RrUAEPqfTlO3ylsOTI6LDCadigBAeWRzx3GiC+pbZuxVZrPng2RGed4IyGrW94pd/krNe3FHWa978ZcWDp58g2oo4qBBoHn0wpatLzp58n6ITyKgGb4m2lrsv/y2pp8nMmjTUGF/w+ON9ynxNt1wQe5aToWT/8IQiLxn6IbprOB5MIL+hLUomas3y6ytaZfADD89qfvxiQlO9Zhx7nL04ZP32F/zi3V84Iz0eXZ2RJiGhVqzvblgtF7x+dcW1MfyT//QfoNcb/l+/vOXo6IigR1TXdU1VVUz29vjd3ztivV5RlSVl2fCrL35BMh7yafaMd199w7tlyejZHpvVLafTRywub1mWOY9+8AlnB/vQdCyWaxbrki9fX3BdVOQ3DbPFhtmmpGw7sskQGSd89fU3HCYBjz74kL/1ez+imy+5vrgl1x370wM2q5zb5YzPnn3EP/iHf5dPHz3l/OdfkI0SrhY1hQpd7lmdE6cRWTLg/PyKq9Wapy8+IAtDgjjg9//uj/GtYFvWaAxxHJMORwxHhkhAcfcW63t4jaWRAozH629fsa5KDp4/JOiWeCLGEx5J0CFUw/J2QRrkHEUR1oYMJpKmLalrtwEyXkDiGVqv4/B0wOnDMcr4VJUhr3LqYsv5+TVxGrI/8vjo2YS94zOEyLBaoJW5Z4VIKahWOfO7JbPtkuxwyMHHZzydDnl48pjYRlTLNWVec/nynJvVDO1BgICm4/rujqePHjAOB65ww6KtIyx6SKrNlrJqWd+subi9Zbnacnkzp6UjjCWDMKSqNEVRUW4q1tsN6cGQyTjGVx7HA8WrX3zN/O6CD/7G9/jRjw5JfSeD1J2TWPuhZnxywN7kgMD6BDJAWFee+55wh2bdOg1/q+jqjiovWS6XmH1NWxfknXK01t+wa+cjkT1NzliLFoIOkMJzE+wdtKGXb7qGTPYSqIBsMERY8PwAP4yJ4pQoil34uvRBSPIOirai0x3GKDzptnRRKAk9eR+f4Yoa11BZ63w8nXbUVc93GWJBEPTer/c8G9v7G+8jGHe8iN2EspddiV2jyG7SjsvOU++bTtuHOVuLk4D1gAlP0sN/3OOj6xzcZbNaM7tbsN5sMAaCwDUjmoA0y/ADh3aXvcSV3dct3v/HrlF04AnbS2XpZ56i91j5TMYjxAhC38O2LbP5nNdfv+T169est1u0EWAdfCMIfNJBxsGRU3IUVUnd1OTbnPVmg+qDlz1rmExGPHr0kP2DfZTRLJaaqq4wxkVwIA2BJ11Gm0n7e4b7eAmvD4H2dlCO3pv3HqRhe2mjI3R2raYqay4vL7m8ukbvTyibGi9yxUzTtTRtgzYKP3S5l74QfX5bnxmnNPTAJQch0b3PqM8sw22KvF6G7EtB6HuEPUBol7kHrmlu2pY8z2maEimlm6xHEUHgNoOqL66ksBhbs84LRwP2JGkaMxxm7O2NGY1HjEYjRI/yB9HTJzV5vmV2d8d6taZpG6zWmF6B0XWGptN06v120Xl5e3ltP8yy1nnZ7yMTjMZKdx8jIAgDQhH0n7FdfqkDTbzvtA1GdxRFwe3djLv53G3IhIuHuQ+5/g26NpuN889p46BQwtxvEd2RIBDSDWyFdN+7plNgIU0S4iQhTRLCMHByce89eKbbDSgs1E1HI3Qv13eevSAweH4ICJep2nYI2QACpTqqqqZpnS8yDEPCYEwSRySx27ztzrCdykBbfZ8luAPW7MA6tpc0vj8bgb4JMv1nw4lu3S2z+3PYfnDUg38cTMYjDPr8SSsotgXffvualy9fcnxyyIuPPmK9yfn5L79mm2954HmEcYwUst9+gue3IBpHLNaarlUuX4/dBhSMlujOc/d/W7O3N2EwiElj1/jUVc31xS1ff/UttzdL6s6yySuKukNbixSWbDhisnfA3v7ePdCkKJ0ayfMkVmu2mw1pmvLixYf87u/+Dicnx1xfX/Hy5Uuqpt2NdRzgq9HoTiGlJAgC4ih6//33PKTnIz3vPnYljiKiMCTynbRWWON+H47WvNk6j/h0PODZ4yccnZ3RKk3dNDx4+IAsHfD40WPS4Qi8ANmDxqx1ADSX0Sjcz70PT+1I0r31w+tVDkHgGtskiRwV1fewOL6A0S6iqmsb8u2Wum5IsgHTAxclEcZuYNe27r2bzebc3M5oWmcDCaOY/cNDpgeHLovS991nSLv7XamWpm4oypLtdsN6tWK7WlP0/APf94jjmKbVtF1JWdVYa/ED/x5YVNV1rzYTxEnSK780WllMDyisixysZW9vj8neHn4U9zYO6cA5ut8oKoXuXNO6Wa9RdUMYBs6qtV65OuXXXL/2V3/5i6/wAt/RyoQA6b5xWiseP3jI7OYWpV3wr7UCLSSj8ZgnTx/yk7/1yGW0ZANC3wPdoBqnB85LTduWNKs5qjO8u7tya+ydBMkP0F1LFfgsMP1D35HjZndvCIIEP8mQUlHmBQYfrQVGNbTtwk34kyHSVuSqASlYXZ4DEIQenTKkgwxpOkSj6HLNMAwYBxZrA8pGI0PJ9TbHhiGRb4h9hRQGKWBTrTjdH+Dpjk43GCmJIg/fBqxUwIP9Ed76ls3shtV6zsXNHYsw4O/83b/HfrvhctNRVorLd+ekQcAgyRiOBxzvT7m8vObbb75mbzxCdx3j0YCf/PaPubp+R4blm1dv8E8/IBIeT45HZF3Juy7n89/7LVI8ipnzdcznG169veYv3lyyKFputxUiCJFhxChOIYj4j/+Tf8w//g/+gHq+xEpJM5tz9fItb68XkAYcHJ7Q1R2f/egz/of/yX+LTx+esbm6RasGqoq66rBWoTpDWxQYU6GM5uTpI/S5x8CLaPIt2XTI8eGQuCnZBhHhaA/bNGzLHGMalq1Gt5qmKQgiz63xrcerl6/ZVDWJEOSzGQZDICSLqxnzoqSqOi5ermEqCOUGT3Vs84pNq5BBhAxiJ5HoFMNpwsjzydeWXOMytI6PiQMfP9Ac7SdMMg/dCIgg8kNUW9G1LRqDKt3afpGvMCOfp598yCTKEMogO0vXlKimZTMruLtdsm1rjLDorqXTLY8enbEfDzFViw0FCN/RNS3kqw1t1zC7WvH1V68Qewli4PH9Zx/Rzipevb1jsdpgjaXIKxZ5DpFgME4Q2joEt+dkLduipMgXeF7nGmblJvI28hgdHTAcTEjjAYEF0ylMW99LEa22zoPXtZSLkq//8hWvLi9ZtAs+ePqIelEwW8+Is19vhP7reFVV/d7f13t1POkiUuzOO+f1eX3Qdy+9J0wIpB/geSHSC1xBKtyGsewMZVFT1h3qHloi6FRHq9S9Fy6NAmJf4nsuCsDDEHqGoM9c7ZSmajWtdgHykfGIhd97q3bdYS+nswa9awStvX/wu0LLfGeE3mfv9a9DGDdt32UKukK9h1b0ElYhBHEgGKcB1np0naapcgcCWPcAkfFe3yR7dMoiyo7kO5lju22Y2xzuKJ69D6n3yXnSeRiDHmHv+YELSxYSLQUWg7QCjGa9XvOrL77k26++YbPNsdJDSvfehL7HwdGUjz//hOnRIfSqg7quWa5WbPOCVlk6bRjEES8+esFHH78gzVKKsqRTLdui6GmG2oFXzK7x24Ey+hxDCb4n7gs0B8HZ5Tu6Qs4xzhVKNWAVHbBcrbm5vWW13pKlEWVZEwYeWmtubm65vp1R1i1X1zckw2Gf3agp65a21XRauzw7YzBwj82nz8HzpLuvTejjCR/sjh4q76V5xjgQUtcpNusNZVkQRgGDwYA4jpCyH6BoN+DaSYjn8zWL5YZWG7LAZ/9gyv7+lNF4RJK4XDhrLLsiv+s68u2a68tL1usNQRAyGAycTNqAMQuatqPtNEq73E9rxb0vTkiJ0tZtG7Qj+hnlJFmuIRfgSTwRuGxd6XLJ3GykbxD7FsEaXINdldxc33B+cclmu2GQpYjez+cgGL9Z1/nF1b3nGSAMfcIoxPfDe6+fkAKLhy96ZH/gEeMj/cApJbLEbWosKGPo2o6qp6a2XYfneYSBawpNP+gy1sWrrYsWP/Bp25a6qsjSiGGWolVH3dSo75CAheglo1hC3zUHzsuqXLGPfu83FPSDANvP9CzCvAf5WEQPY7T3G9PdcK0zf3WQJqRrTrrWNY1JFBGGzo9b1S2vXrpGcbI/5tPPPmZvfx8vishG14RR7GoYL3CPCOgVGX4PUHN/p9Kmz9CVYBS+EWDdllsI2/s5BwS+BOsk8+dvzvn6q1d88+qc5bqiM8JJgnHk1NMHJ/zeH/w+H33ykYv+6eOItkVN28vprTGkccwPf/A5/+F/+A949OghZVlwd3cLQuB7PtpzWzGllfPZKdcspklClmVkWUqSJKRpRpwkPXF054PHOQmEBdXgHP4S2wVsc8PLb1+T5xWRJ7l494a2KXl3ecsf/cmf85e//ILhcESrDA8fPyKOnZSyaVvquu63bIKyKhECHjw4I4xCd3/taLq44Z0fOFBZliWkSUycRG5bLMT98He7dUOrsiwYj8ccH5+QZQMQEqVcvEVTVWzXK169fs317YxOa4LA59HjRzx58pTBYIgX7Cwj2gFyeuDNZrNhdjdjuVzQ1K7WSuKYKEwIgpzlckNerMnLirJu8TyPoRcQJxlKddjS+b4t8q+wEgw9yKztkJ7PaDhkuj8ljCJ2xHTb2ziMdpaCrmnINxtWqzVX5+dsN1sme+P7iCc/+PcA3Ig4ZnR0wGSQUa5WeIMxg8kBXlcxygIePTogCkJH2/MDEJLA89jM76jXc4r5NdpLCIeHVFXNzflrwiylLkvauqFrXMEUDcZMRiNUW6LaBmVwenpPIHkf1hymCUlhkYHz+aWRpK0q/CimaWo8TyD7znsSDyhXruMejIfUuqXoOuplQafBzgom4wExsL3aYHGHWRz6CD9hU9xxd7emtJYs9pHKyax8T2KEz9Vs6Sb/wk0wjFaEUjB9egZtQ7HdsFoumN3dYmKPf/iHf0jWdpRFSWUCjj/5hB/88PukQYDBsl4sWRuN8CTPnj9jeXPD8m7G9fUtt9c37J1M4doy/eApyegA01TMrkvUIOX06QOyQFPNNpRlw+3tjPObNbfrBmM8NmWHjFPiKHEHD4K/94/+Dv/BH/yE/OqaKi9p6obV7YyvvnzJxWrL0fEREp+my/nbf/v3+ODsFLWtWVxc8+7yhlVpHPjFKvanQ0pVstguqZVCMMGPBU2bO7268FkvNtT9hDu/uaVpGgw9ZQyL7WpCEaIag6oWmG3F5vodumsRwnJ7+ZLEOIPz7PWSzWpFOE6Yza8J6g3GCpqi48uvL1i2LWGaEPk+1Sbnzd2M/9n/4n9Mpz3WmzWX8xVeJEmiAC+QfPjRQ5Jsj1B6NHWDdAoY4jigrHJWyyXXl9dsTM3J8wd93mJI7Mc0ZY7qWsrVhuVixe3dnK+++YalbsCXGCl49skzHh8fEfsB2jcgDFpDWzqj8+3VLYVU+FbQeYqjByMen5wwCGIW3opybSjzFdfrlXvYYfGkjzQS8AljiV9uGGUxdSHdlK7rKDcbikaRTiIeTR4SehG+lPi4QHitXBg8RtN2jkjYKU29rVktttzdrvjm9Wv8Ix9aTaM6WtXRqt+8absfJH1D6KaTvifdw90PnTzHftfbIrDCohGOYGYsWA+fEE+47UvTGupWkdctq7KjbBWeJ8mSGN+XaBvSaOi0gcYiyw5PWAJhCKRl4BmGoWWc+ASeoGtbtpuSVW3QXkicQJa6zRpi5+3DQZFwzd1OTrfzZe1+tv2ke7dDdP2Pk6QZ5TLvtAZluG9AXGFp8IRhFAmeHg2JAok0LZt1TrEtsFYynuwxHE1I0oSuVSzXJVo4iaKx70OplVK9H1DTNDV5vu09a1vXoBtzT0Z1P1wGmaWXSPUytK4umd1eMbu7parrPkpEIKUligP2Dw/49Huf8slnn5EOBrQ9yGE2W3B7c+e8dT2y/uT0hBcfv+Dg6ABPSCdjdCGDjlan9b2EbNeIO/vc/XoUI+Q92MjzZC9Hdd6ZMHCyPel5/SZXobQj4xljnfcriPCk89J1XUdelDTKoIwkLxu2eYlSmk1RMpsvWay2VE3rJG1BQBQnDAcpaRoTBL6bpPvevXQz9APiMCT0A3wp3TZZC7QQqEazWq3YbtbEcegKwTh1/j3bA516aagDArWcX9+wySuUNgyGA05PTxmOhm4L1EsG3QLP0jQti+XSgSOKnDh2VMwsS+/9rkobWqXolHtWOHmhRxgFzvuFgFbRKd1nlTUuIqVvFu43vFLgCctOgbi773cn1+4+LIqC29mCV69fc3Fx7TZVuPssiSIS85s3GBuO9wg9Hz8I8IOQKI4Ig52s0BFknf82xg9jQFDWLatN3kfSuAHsTpVSt4ptUbHeFtRNg8XFCkSRG7xpA40StAq00dht6ST+XYdVDYOo4HivIZZuq72TU3fWDQWSKCRLYtI4wvdlvyVxRHLD+7iincrivS/WHXJmR13u/77dsEH1n+XO9BLufkst5ftoI901DOKAg70RFkFVN1xf3XB+ecVoMubDFx+SDjLKqmRblEz2phyenhIlyV8ZqphektgpF0fSdO4ccpmO/v2gMvA9J3P1nCw18CxdW7FcLHnz6g3v3p5zN1ux3FaUrYE+BzX0Bdlkj9/58W/z4qMX+GHkPh9tS7EtmN3NHJ0ZB5baP9jnt3/0Wzx69PC+aVqtV2itXTC8tffxNVprjFII4aTZQRg4WFkQIn0fz/f6r9UNUn25yxnGRUdZB3axxlIXNevFDGE0aRzS5Bu2nmE1u2W7XqG0y/NM0oQ4DFBtw2qbc307ZzZfUDUt9BLNw33nJ7TQbwrNvVffyaOd93SQpST9eYjo7welWC0XvHnzlnybc7C/z+HRCXt7+1gh6drGbQfbmq6pWMxnvH17QVHVKKUZj0c8efaU8WTszn8nd8Coznk/i4LNasl8Pu+VNpbxZK/PrExRyvDq1RuurufkZdVHmWl83/mHkySmrNwzAXa5pX3WcO/jVkoR+AFpOmQyHhPF8b3/fpfnaHrJdlNXrJcrri+vOL+45PLimqZpiJOEuqnRVhPtVvD/NdevbRZ//PnHKHxaK5D7CQ8/+JTj44dcvvkVSai5fHvF17c3hFnKyekjGiXIhhnfvP2G1+fvSLKU5x98xLPJMZOjmE3pqG7FvOT1+RzZG6t/+OxjHj18xKsvfsHd21dUbYtCgHR6eGtcWPQgDkkyZ872hcK3hs2mxKiOorVIYfAlJFnCYDqlWK/Z1A3lfENXVhTK6ZudCVuwLDSesIRW308eRd05upAVWM+nymsMHlbBatNS1K3r5v0QiyH0PeLQ5Vc1neY/+v4PafIV5WrFfHaHHUZ873vf4zAKWN1dstpW3C0bRDphs15BNmCQpn3ukSEvclbzBU1ZUjUtXhzgZxHzbc73fvx9RO3MwOPpIToMsAH4SrCdbcgXK65nM95er7jZtmy2OUkWMWxjRDomCBKkMKTjAb//e7+NWq8pZ7fMblfc3M65nc345s0dudI8nByyXq35/Ecf8/nzx1TzBZvbBV+/fM2ruzv88T6JUGxNQ1P5Tte90GhTMm87vDQiSoYEWITqKLYllRH95sVi/QBtDZP9AU/2Y8KuARkCGl9aTFlTnV/yF28CstGEyd4hjzKBrzX6egud4umLB/z93/uII2ERXkA9r2GZ89WqoO43F14Y8L3f+xFhOmK7qBgcHvLBZErd1YShhxdo9icxsRA0ZYkJQ3zps7hdEISSrqyp2xqbCE5PHvLk8RMS7dPWLWW7QlctdVGwWa+ptKZrW65u5xgsqms5PDvixYvnJHiYTmOUg5OoRlHkW6qq4vrqhmY/4umDQ3786IcMxiOG0QhVdPgipy47tlWL7lrqqsBIwd5kSNrnLAllCIKY/ZMzQpEwfXLMMJ2ACBCBJRsMiIMYqUEYZ2burEaZFt0qjHUTqqZsWK+25JuCu6s5s82SWnfErWC9LQkHgmw/5PTs14e3/nW8hocPHPWT3WaLXsrhuU3NTrkGgEBbVzR3yqBEHzEgAkSPn+6UpjSGdSdZtNAoSSw8kiAmSGKEUjRWoqyi0w5chDVIYwmFwcQee6OU49M9xknIarNhW52Tr7c0MiCW0PkQGByOu/cjKmNRgBG9d3EXd9ZvEnbwHQ29v8OgLCj3rOs3OX3zaMEYcS8L9TB4pqNtLYejlFYZVFWz2RR0nWYwGJCNxqTDIWEQYmyNtRD3ctydfFD30Ji6aamr+t4rtljMyYuiLzw85yNNIvx+u6O0K2Q3qyWr1RKrOtDKRUj4kmyQYJVCIAijgOOzU56++IhnLz4kG42dXMoYyrLi6vqaxWJF3bRoo4mjkCdPH3N4dIgf+Ki2paxKiqqk7br3mztje/naLo9zt2S2jj5qHDdFIpDSR/penw/mu9zIPsdNiJ1vSjv5ZpYyHA5J0gzP91FKU9UdZaPQeIRpSjocEaeZuxH9gG3dYTcljXIFQWgFfrjbAPfy0h5KFAU+cRiS9DKx0PeRwvmgldE0bcdisWS73ZIkEcPhmCQZOBKfBWPkfUSM2wQbqrrl/PKGsqrxpeT0+IjT4yPCMOylp05qqLWhLiuWyxWL+QKlOoajIePxhLT3+SilEVJQ1g113bkojl5OFoQBWTYgSRK0MWzz0uWyKSf3EtYSSknoS4KemutJi0T0sTF8p2l0P7dtx3K14u5uxsXlNecXV2zygjAKkZ5HnKQkSUwa/eY1iycf/A0wjnvq92RSv8/Fa7sO2XVEnovESdIUYyzrzZbGzFy2cRThRzGh77szRjVUumXbCjrt9xFEEYIAYwSNMlStcXAcRX+uWJQCqZ1fMh1MONlL0UpRNQ3LTcntcsO26miUAC/C7+1gWls6pe995P1C7jtqiF30j9uYO9+bpdXQGUtrLJ0yvWqiB205SYW7V6R2lE+tELrFWkHVWYqqYT2fMZ/PODk54uGjM4bjAdoYFvMlt7cLBiMHF3FbTCe77Prc1dVmy2w2oygqR4zut0LDoWIwyFy2ou8ReD6+77apVV1yfXnFq29fc3N9ixC9/ztp0HREYchomBGEHtPpPg8fOf9fUVYUmzXv3r3j7m7GarWhaRq3cRMep6enHBwc0DQNq+WCl998w/XlJU3TUtcNVVHStK5W2WVASiFQnqHtFLLtMLJ1fkXAhD7a94g89/fvvO3u/aT3iTqP4ME45Wg64NHpEVkWIz3JeDjg6GDKaltyenbM02dPGY3H1E1HbQQi2GK8AOtZ6FkBMkzolKVt3/tXreUe3BRFIcNBxiBLCQO3Uey6ljzfcntzy8XFJVopzh484Fn/7xljaOuGuipp68pBJlunKrudLakax604Oj7i7MHZPUV0R+ht6so1ips1+dYtoQ4ODsiGIwbDkRvKIFnMFsyXa2aLFVXdOmUlTs2Qpgl+4CPqHWTKw/R2B4EbvElPEEcx0TAgTeIeLiV7xsEuM9LVo2VRsFoumc9mXF5d8erVO27uZoS+z+HRIV4Ykw0H9/Cf/7rr1zaL//uf3lEqQW0M1pP8cBMRiW/54PkJ3abhy/Ocxib81rMP2Ts9Y39vyu3tHaOzFxRzzeGzRzz9+AUPzs6IgoAkHfDP/+W/gfEZVzNNjeCzh2fIbI83sy314IDwVPLVy3csNVghCUwI1hLIAYdij5989tv88KPnWNVRFQXffPEFv3z9hl/dzmmkRygF3zs4YbB/xt3NllfLNXndoLWlvZ88gOcJIus5CZYW+IHsJ8aui6+7DuFFWC/C0xIhDHUSEw89no0zvr28o5U+lYBSCGxoMcIivIhmc8tyeYfNYp68eMLB3iEmb7i+WvJuVnDVSJ4//4Dp3oTYDxD9Ddq07kenWmaLOcvlirJtUZ3CCz1+9Wdf8pc//4KDp8/5O3/ngFFiiVROcXvL7OqSi8s7bqoCb2/KJ49OWV/dcLUyLGvF6OiQo6MjhFEcPz5lmsZs7m7RQuD5Hnfnl1xtCirtkexNQHgYz/I3f/9vkN/e8u7yhvlsw3W+YbA3oK6d7nkzm3OzeEk0GTEdDenynNlyxeP953R1hQ1CQmXYFg1CgB/2hEHjiGmreY6stgS66/XarrChM9gw4OzD55yenPH61ZLXTUO93fLq61eUVhIHGcu7HHyN9GK2qxp/kHAUhT0ExA0AolFKudrQ5JrVuiAvCrRu8UPBb//ux+ynEbbIXR5YeowMfCaTjG9//gVfvPyK408f8OHHzxhnI7IoQRQdTdvSWUtdltRNhfIhGwzYXKzZFgWtaDEeHD054fGDM0Ijqcucti4wVtFuavK8pBGawemEg/2UyXBMFMbEforUEl1brs/vuJ7f0RoHl2nqBhkEZFlClCQuT8o4f1sYpZB3iFZhlMJPPfaiKbEM3INQCueB0wqs8yh2nZsUt2XJZrnl8nrGfLlhledsyi1lWyOswB+FPPvoAafTA2I//fcuWP7/7fqLd7nbJvYxBC4QHnwPQt959ELfTU8dEhtqo2mN7uWlHkqEGOmKy0pqthY2SrFVkqYztEBiPAZhgpQKXSkqbShbTatBK9eohUg663EoMgbTE04Ox6R5wcXGwvaSVntImeAR0WrhUNh9w9lp3EQeJ68yetckcr9RxPayJZxfZycTgv5/9Je1O9meRaCRBnyj6BzzHaNd4eC8IwFRlBIE7oHTdS1FXlLVDdkoIwgCt2XivQRMG9NP2juquqasaoqi6gEELmR7MhqQ9PIhYy1FUXJ9dclqMXfRE3GE53mMxwN8zz0sozhh/+iIx8+ecnT2kGw4dOAX6zx+d7d33Nzc0XaaTrn3ZDDIODs7IU0SrHVekeVyxXq9oe2jNbTeeZ3sTtTrNl/2O35LHAXXgouZsdp9T5Sh7SS+p3r1svv9LvS8JQxDsoHzdTZdR9sa1kXFpmypFaRRQJSkjnoqJakQTCaKsukw0qPtkfdp6hpzPwhcHIkvHVgn8ImC/r7up/6uqIC8KFjMF2zznMEgY3//gGwwcNvBHgZiMd+h6TnP1TYvuLq5o25aBoMBTx8/ZNIj+Y3FUUlVR1lUrJZLirwgCDwmkxFZ5l6Lo46Ke49bXlRUtXIbF9/dA4EfOPnbYIDSfVB87cBTXj9QDgOfwHd+THDSUync83w3MN8Rgcui5OrmhsViznZbsNpsqOsWgWQ0HHJ2csLh4ZQ4CgnuM1B/c64/elW7ZlEIEB2+X/dwLVDGQa2GccCDI8GRcL7oVdex0BmNjVA2wpqIFg9tDMtOsGhbllqjrcG3HmXnYTtQytAoaBS0nUD3Zmp3tkikhtSGBNmUs4enJKHPpihpXl9S3lWsG0MjPGTnE2ifUAgHzmotdWdplfOraWNQGjd46+Xzqv/htooCZd2/rxH355+TiQp3r3hOveBJMBI8XyFaj8pYblcl62VLs10wHY958vgho1GGxbJZr7m6umWT1xyePsPzQzckMU52Xdc1VZmzWm9ZrDZsNjllWdG0HVJK4mXCeDiAB8fsjQZOJqk0q8WCd29fc37+lrZpGE1GTKdT1pucbVUxHPscHx9zcLCPEDAajdnf3++pzYbVas3XX37Nar12XmVPEgeSNBvwwbOnpHFMvt1w/vYNb9+8oswLWqXZ5iVlWfVxFvre++n7PsLzoVVoqejoaI2kUlDFkISQhh7KWgJr8KQjnzoZsemXPi0H+3s8ffqI0XTK7SpHGdjmJUXdgfRotWBddthQ0SmLkiHp5ICDeOSGs8ZitCaIQ6rOYq2DWZk+mxXhNpu7c0H0Evqqqrm+vuLi/Jw835KlAz588YKHjx4RJwnWuC1uU9cu4qx1UL+6abm6uWO+2tK0iiyLefT4IZPJGN1LQo3WtE3Ndrthu9nS1DVe4DMdDskGI5LUne0YaOqGq5tbvn31lsVy7QBN1pGt4ygiiSO3idX6vumVnXL5r9LlMCdRRByHbnHmO1uB+1y571fXexO3vQx2u173cUaKbV6wzUsGWUoQJ4z2pownE6L430OG+spMwPcJpcBaxZ+db1Gd4ud3LUVdoY3HeJSRf7PgX/zqmkESUeYFtbHk3pRuCfM//gZrvsBaTYJhvW2YWY9tPKWz8PVc827+DWXb4Ps+gyzjNtinEsqNultHppJGU2wM/4d/80v+7Iu3+LpFa8tis2Gx2XJRaLooREqP6m3Jq8WvaKuOuyJEyRiExso+wc5aQOKZkEBahGcxyiB6vbjFIvwBEoEXhBitHNUpMXhZSLY3gK1FyZRatXiB1/vlOzabFcP1nAbFhx9/wmQ0Rm9KlncLtq2magXLTjM9mDIaDtCNYj6boeoKIVyRFycDjh/4GM9j8dU3aGsZJUM2sztu53c8+63POd6LSNuK6u6W1e0NV/MFc2H5wR/+PkeDFL1Y8vNVhYr3OTr+gI8/fMjvfPqUqzevGeztoascP0l4+OQRtz//ktXtihWCeDLm+8+f8OXPfsnRh0eE0hIPhjx8niHEOaQBfqf5ky//kmujkV7EbLlmkvhMbMoi35KO9uiqkjTNIB5ywwgrHDUxMHByOOJHHz7jmy9f8uVsDoVr4JVRWF8S+h4RknzyggcHPoejjHY+oxJQVDXzzRoRSK5vl/zy6jFZlvLowQMefH5M+KjgL774mmVTgRR0XUfphWw6QZJm7CcZw6rC86HtKoaRhHzNdrWi8gTxYACtIF/MmRcbHn3vAx5/8Jij8YTACgIt3fcoimiLAtW1+HGIN1d8+Sdf8C9++hdcNyWNackORzz/6DmDIKarKuqmpGkqLIaubDm/uiI9m/Dihx8TW3cQC22xylC3Jfkq59tXb/jq4oJoFKCVxiKQgY/XByfvyIedbvG1IRaWejvHDzT7+wPSLsKoFilML5F0njWrnGk9zwvqzZblfM5iueFiOSeZDDmZHlPcLqnykkGWcXJ6wP5kimdCxG+gNOuPX697r4qP9PotkOcReBLPl/gSwkAQ+o5Yh+wLDmfzQ0iB328hjTW0GspWUzUddQ8d8T1LKypq42OsYb1tycu2L3j6Zs5opJCsakVez5htW44mGa3SvLsrudpKaiMIOo1XuEnxTurkJKN9k9j/bHu9qUWAcUW5RPQZfLhCXViXy9h7uoSwvcRsl71kkZY+/Nft1HbUQyHcdsL33fumjaGpW5q65s2bSzabgv2jh4h+iwXOG+ssZgIpPDwvIE4ShqMRCEnb1AS+3395/dcjwReSMPRI4xA9SN2mLApRgZMhDscThuMJ04MjDk9PGE728IPQbUytA1YVZcXt3Yy8KB1dDucZPTw65PDgAOlJuq6jKEsWiyVlWbhGsYfg6L7hFnAPI7LWbdF2P2sj6JSl7j0mQqh7KW3vqHI+RynusenaSoIoQVnBMq8xRjNfFdyuCiplifDuC2FPuNgUz/eIs4xBv8HzpCAOI/zAsQVkP9jwPDfk2Nk6jNF0ncPHl1XNZpOjjOLo+Ijp/l5PtXRNkpMEO1+Y6UmKWrlN5Lvza+5mK7S1jCcjTk4OCUKvn2q7oWBRFOR5jmo7six1kQlx7GAeO+KtMdRNw2q9ZVtUVG2L54UE0uDvNkb6PSRlN9T1fY/hIGM4SJ1KpKdKOvVqL7K2BmucBNcKyWK15O3bNywXS3xfEkYhcf/1BIHk6HCfB2enDAbp/WbkN+36+buqV1e5c8LF6PxVGJMvG8Y3HZPBBikEZV2TVw1GGwK/IgpcpiEImraj6jo6JbHIPovVbXm0Nj1hGqx9/35aQFgBNqTZWPQvrjmf1YwHCXWneHu94mKuqDrwKsNdXTPaGDzpBlGtUrR9Np3zWO/UELvvtXA+OWT/OvszD9yZ169p7gF2O8my6C2EHs5aEACeIS8b6q5kmg148uwpe5MR1hrKfMvbV++4PL8iHU4IwshRRJWTUzdNQ9PUdEoTRhGTvcn9WbiTvVqt6HrvrdGapqmY397xzddfk29XZFnC48cP2dubYKxlnRdEScTp2WOePHlCNhwS+CF7kwmTyeQ+qmMxm1OUFU3TOP9j4KEjn0ePznj+wTOiKCbfrmnqCqwhCHzqtruHZu2k3hjjPlu+e081ks6KXl7snicBllBZotap+7DKWWZ6z6M1Cmk60B2tCNg7ewhewJt5wbqoKYqS1bpmqySUmvN5wYGfuYFVMmIQjQgMtMrJ9ru6wbcKBbRGOyVHf95FYUAU+kiBy8TuGqqqdOqV2Qw/8PnwxQsePHzI3tQ110r18Jymoa0rVNtgtEIpzdXNHd+8OmdbNhjgaJBxenZKEAW0be3kvk1Dnm/JtznWOL9plg2J09R5gT3HMOjaltVqzavXb7i7m1M3LX4/oPakIIlDPIEjTHctUrqYEiEEw0HKIHMWgyxNCEKX/XzvO9fO2lHXNUWes1yumM9mbDcboiBkOBxhjCBJL9D6jjhJODo+ZrJ/QJzEROG/x2ZR2xDdaDTgeaEjzBnD3VqBl4AVzLaCZdGguhYpOqSQdErh+x65UlxY6LocITS+8FGej1ZgRIQFFqUlkBJJgmlgbQzIDF92Pd4d8JwOV1mfr65LXl5u3EPParAC1XkoG+Ib///N3Z/EWJKlWZrYd6/M8uTNOtvs5nN4DBkZkZEZWVndVUSyQYAkSHSjCRDgjgsS4Lq4JLgluOOu0OCKCwLcNDckGgRZ3U12dxUys3KIyHD38HA3t1lnfaOMd+DiXnmqFlXpbKA2jBCHuZmpmr5JRO79z3/Ofw6YhIublut1h4wiLBE0HcbUGEAGiQOhgcF0DVq4nBvhh56df6XLOVNagXEyVCdLEyzXiv/i6i1BnIOJCGWCsSBlQBp1hHRs6wWPv/cJR+M96vWGxdkZVzcrfvnL3/Bi0XH8vU+oFxsuq47hcMTR8Qnb7YrXb0+pqopyWyIC2NvfYz4ds12s2TYb9g72GJ8c8eTTT0mkpVsvePnFVzy/fEt2b5+ff/Y9DvMZm7MrTt9c8aotWI4PKUYxP/7RJ0yDlvDeIZP9PUaDjDxNSKOIV43CxqnrGNUllCm1qfgf/4/++3z64VNSC/X1glWasC1D3r4957ru0EdPkK3i+EHDcJoyHQ9YnEKYJUymc1CwIGfFmM5IFyZuOl6tF3zx5u/JpCQbHLJtW27KhtZaGu0WmUAI9vJjTsKWdnND0zRYaWnamuT4IalR1E3FdW056xKC6YDXXy14eXZJy5BSjGmtxYQKlKU6b4lWZwS2YzgcMNsb8+jRMRPdUl6e0dkWmzt3w1fPXvDm5pKPf/QhJ/tziiQnkhLbtDRVTdvWGIzLwbOCquxYXGz4y7/8ez5/9YJt16Ct5mB/xIOTY0zZUG0rttst22pL3Vbk0xH3P7zHYDZmb7qHWbd0EgJr6VSLbTt05wxNXl9ccJjMkcpgZUBaZKRpglWuiFtereiMISkkR8OC4YM5J3tjijhDNG4gXBiB0i4awHSGZluyWi5YL1Zcnt9ws11gs4DDp/s8ee8xmcqoX245OnvNh58+4t7BPmk0QprwloX6fTryiWe8XMWgkOBlu2iv/ygV+CIIgXfIljtmpB/st2663wNJJy8VaISw1KZk1bruaNN0KGV2szVu0ZdYIdlauNwqvjq7IOQUK0GLwJl3BAHUzlFTekkjomdQLNwx9BDWR2T0fqLWekZMgrBI6XL4QCAs7vcdb+ZytJydjAUjscYB5SgMCYUgDiLSOEFI597WNB1tU3J6es4337x0THma+VkK42RhfcFvPTMnJWmaEUhJMchp24Y8jZiOnKt0FIeEoXPeiwKJbsaE3mo+8IYX6aBgMt/j+P5DJvM5aT5ACIk2FutzxpzLrWMa0iwjywekaUuSxNy7f8RwVIBwkqKmriirLUbrnfTY+saA9wXxxkeBe1wRIkQAIkDZwFWbQmCsRBvu5Nc5ACOwdwxYBFok2LSgMoKrrQuovt52rKqW1ko6EbBpFdu2JZTQtC2N0hAEhGmK1C4lqzeBEd7hVPrZJykc8OuUoqoNlXVeAF2nSJKYw6N9RqMRQRh6wOBnNY12r10bttuS1XpJWZacX1zz5VffsN5UhEHIeDxiUORYa6irhrppqOqGuq4RQjD22Xou/kDs2MmerayqhuXSORIqZbBohPYmE03jjYjcrGtZtSitSeKYe8cH7M0mxKGfAxW3TKL1IKWXk789PefLX/+aui6ZjMeMRgVSSgfA37xF2oDZbMJkPCSKXJSO0b9/OYvKN4aMh9TC6+ulX7esFTTaUq1bLrbu/WuvynL3gfbrGf6n3Xqyyy3UviFpwdpgBxB7AI9wTSx3P4WUSnD1puaXr14RSteMMhisjN2sbCe46izhtnPNMeNE8RDQN7P6ZxBeouhAoGTH+FsA6RthFmEkSG+Cg3BrJm5Nd402izGCQEgGWczeMGCWDjmYDplOxgCU6y1ff/U1X3z+JduyISumgDOJcioG5fMlXQZpNsiJk4gsTRjkMV3XkcQJcRQRRxGzyYgkcfnaF+dvMV3NwwfHHBzskWSpy119fcr52QXj0YSPP/mE+d4BQRiTZinFoCCJY6co8NJ2q7Vz6PYnIY1jz0bukWQJbZdQDAuGoxF6uULIxpsTuQicrnPrduBN3EQQYUVIR4gxIVqH7hwb9xniJ37p1zxl0G2H6WpQNRGKIosYZAO0sVy2msvSUtaSTg4wRUaTDHm7NTQrRZq6+clOG1ptaTsniQ2AWEgC7V5bGAZORRFG5JmLKWrahrfnG5pqS1NWRGHIgwf3ePjoMZPZ1EeF+LrUg62uqWnqkq6t6ZTi9OyCf/03v+Tbl2+pWoOQTkE2mYwwqqNqS5q2Zrlcsd2WRFHi5vaHI+I4cZFB/ay+UlRVzWKx4OrqhqZpHRAXkjAICQM3ftF1Lqe26zrA7XFRmnDv6Ii9+ZQ0SYnCyM+2210zTfm4o+XNDdfXNywWS+q6JklSZvM5eZZTjMa8OT/n8vqaR48e8uDRQ7KB2yvlv4sb6vH8Pq1uWW9LtwlqhVYNVtdE0hIlKV1nMEFIEg1AOptgYQOMiOiUIJIBjUoJI2eArmxIEDir7yLNSOIUqzuur8+pug6tN2TJwA3me/vYSEpU01DWK+I0Q0YRcZYBgla1JDHItnHzWIBWzmUrSnLXEQlCtJYoK4iBNA5RXYmxEdZKTNsBnQOeeKv2IERpQxoHCCRNo7wzWowOYoxwkteurdHKEkcx753MGWVbjj/9IfPRhOpmwWJxzcX1kr/+my95sdgihhN+8KNPeXDvGEnAmzfnPPv6bxgMMg6PDhmPB4616hRf//prfv3551hj+OGf/ZSPjw/BvCCPIlTZcPb115xuL3n/jz/l6aOH5K2hvLnh7dklf3+65TKb83ax5M+fvsdeHiFaxZMPnpCGAYM05/ztBb9++Zay0lysWq7bCmE1N8uS+48e8f/4v//n7OUD5knIxfPnfPvtCy4Xa379zUvO646jwRxhLrj/6QcMQsn24oxN1zEbj2jXKzadoZvuo4gI/PXTKokII1atZkVH2G7RVhCGCVIphnFGIAOiOCYTGpq3bG6WLK8ukLM52Ud/xEGrSXRDqCvSfIIxBX/x6zeIJEaIlEBIVNfQKBD5kCIWHI1CDh4fIo1mvVxStwqMxpQb6s0alQbE6YBWw+F7JzxMHzMeD0kJUVtnZY9RBAh006HQbFZbbs5XfP7r55yeXfL1+Vs2lTN7sCEMhgVpGFFtKlYXV6zWKzamxiaS/cP3mKcFRltXFLUdOhQYramrkquLFa+fXbKqO5IoIR0U6KqhCwKK0cAxL1XjN3JF03QkRcrBvRE//Nln3J8dIDV0qnMFcKfpOtctbOuapq64fHvGYr3iYn3D9MGEp+8/ZZJPiERIt1LIMOTx99/jw0dPiEyCtSFSRr+X3fZ8NPSskEVYbrO5/JCTsaB1gO2t2kX/Pe+yByhvyCE9aPPYC4H2IBI6C+tG7WSjwggC+sIGfMnmfoUZnYBWO7t3IS2BcCDAelZZGrDevET0nXHXT6cHgdb2ANBDQXvnewaE9ExiTzZavHOpl4ztXpdjMcMgIIliokBio8gF2PtHbFvF2cU1X3/zkuurBY8fPybLUvd56B4U9wHB1tl6W+vW6TRlkCdIkROHLrMwCl0kQx/xYMOQOI6Ik9iVij6nKh3k7J/cY3ZwQJJmzm7desbAwC6gWwaEcUpejFyBpBRxWaGt4OLqmjCK3VzLdutmQ8IQaTrfSHQdAhf/4D5373DjwWiAFiFGhBgCtJVoG6AQbq4quDXe2LEZPX8bKrrEmSWtjGtYVsR0MsaGFiUjVp3hpmyIQ0HbKSpl3DUnpQf6FqR3YhV3sjRxRkVd5/Jia2EIhAs6L4ZDhiMH9ELPJhrPfWqt3Wdu4fLyiq9+8xtOT8/Ybkuub5a8en3m5sKloBhkhKEzCGu7lrKu0MaQZSmDPGeQ5y7k3MdoCN27WhqPS82OaQn86xZeQmqMoW1bZ66jNW2nwVrm8zlPnjxgMs5drIa//nv+FsEuC+7q8oxfffEl1loeP3rIfD4ljEKMttRtx3g8JAgjJuOhj0hw94a2v385iwjP9O3u2n6N84uU9aDRu0bCDgL4798ayYC7t3YOmJ6p3D3qrmnl7bY8KEPs+HWMkJhQorWh8Q0kISwSgxBuJhEr6bRraAmCXVPAPV8PFt0Tyh6T7gw7+tXvthXW48vA04nGy2ONcfOLxlqENiQSJkXKw5MxB4OIOHT5u+V2w4vnz/n6q69ZLTeukecbZlp7IyV7G9vRNwSdcVBEOB757FOnYglkQJZGCGto64o4Cvnww6fM5hPCKGCzLTk7O+ft2zMGxZAf/+RnPHr6AQ4ACxd7YC2d6hx4E6E383Fy4ziKEFIQGIsUgs1mDQKWiytubm64vLjmerGiVRpEQD4YkGjjDIeUaxhEcUKQZNgoQcuYTqR0NkKbCEuAFp5Z9uukxYJMIe6wIsYS0gnlXNoJabVmTUyXBERpQBa5bFspA9ow46aD0BhnuqTdnmm8E3UsJam/50MLoXDKE2dI5uJ9Vk1J11QEGCaTIQ/u3efw6JCiGCGCwHlHaO3mtlvHKNbVluXihvVqxWqz5tdfPePLX3/NelvRGYiAQZ4SRZK63lLXJavlim1ZUgxH7B8cUQzHRLF7L8ZalNI75hJ8tJYHZhJBEoW7ufy2U6xWa9qu2zUZhIDpZMKT954wGo+coY4Ut/uo98pYr5ZcXlxwfXlJXdcgJJPpmMlkymQyJQydA/F77z3GWsPHn3zCwf4+QRjdMe/7h4/vBItn15fEnla3Wrlh+ThDBDlWCowUxN4qtjGGMHQ22aGMEIGTC6zL2oE15TLLojSgqbYIEXC1WROEIcNiSDGaMo5TwkCw3dR0bYm0GhlFKNWBlKRZgcbQGWi3bpZKdxUWd6MYY+lsRxTHFOMRxnQuEqLeIq0gDTMCGWKRhMHAuQUJ6NoOEYTIUDrZizEIY0mTyJ8wyNMUrRRtWxHJmHq7okFRDAqkcRa7Hz98wqC8IROSenFFuVqxXqz49a9fUqcZT94f8fL5gv/Pf/kvuXj6Po8fPWHv4ID33n/K8vqGv/hX/wqDJcsT8iTi5HjG4fRnvLg65aMPn7B99oqlEoxaw/XqhqvyhqefPuFkPiduLNuy5c3rS37z+obF8Jgn7z3if/GPf8TJKGMQWbQqWN8sOL264q//9d9RIvj5n/2cxWrFyb0DcqOJk4hyu+bbZ885+sM/5H//v/s/MBpkPDo+QLcVtQlY1i1x5rrws3FO0Cy4uVxwcXnBcH+OahtqbRjPDlkFIbVw8xBxlBBK50KW5AOwBtV25IlbJHXX0tYVRgSEbUOSui5gs254eX3D3vyIrpVsdUgU5aTJnK6JuN5sEUmMqlsCqUmTjDjJ2dQ3VIst+bTAlLCqOgZZyqQYkA1ShkHH6u0pTbtGJEPiKOLg4ABTd8gwIg4kQadAuvBni0Z3mqZsuTi74OLNOb/6+gWLZkOnDKumovIRAFEUMR6PiMOYbrGh1R216Th4+oBH906YFjMCJSjrLbrt0EBXN6AU5XqLGGQcfvYJw7Mb7Bd/z3KxZX8yRpRLoiCkrRqENrRNTdu0lEoxziIOHh7x5MFDBkGKLlu0UdjAYpWlXG0o24q2bDj/9pw3ywtGT8b88Z/8lHkxJpQxaEHXCpcZFEVM9w54eP8hQ3JEJ9FCY6X9rmXjd/MwjmHbmWII6Yt5Qe9q5xZ46We4uAUN1u4MYeydj6YvihACSe9a6tiuPmi877ubnt0TLjcKP0sjQokNfEfcs5PWs1wOoLjn2j2t/1mzA4e7OoWeBRB9zpxw73gXBWFvZVn9A1v/FtxDa7DOgS0IAgeYhQTpwo6Nl52V24rttiTNUvYP9onjxJmjeBLVGCej7K3O+/cSRYI0dkYlgbQ+oNp6h0vH0PaOnFopJzXTFoskL4YMCscIif58+oJRSvwbg9VyzbfPX3F2cUWe3zjzlbblm+ev+c3XL7h//x7jUYHRmqoqaZW6Y5zhGOFOu08mEG72MxASYQMEAcZGGEI6EaAJ0SLECgfupXsh/nP1XXifpYnUNHGI0QoRpERhgCwk6cwitlvIUtYKrmtNGkm0Mm4WEom20sM7QbhjjHp2mF1Boaybr4mjkKIoGI4KF3Yex7cuep4tFZ7BLrcbnj37ll/+8nO+/fYF280Wa2FbVa4zbi1xKJmMCifLq0o65TP5Bs5cIvVsR2+848W7OCdeSyCcWcP+3ozZZMRisQUZEISB/8ycM6W17FjOPIv54OkjHtw7JApvL15rb8EI1tDU3h385SviUPLe0/eYzacub85ApxSj0ZDDg33iOGY4HPjlwM9Yqe7fcWH5/8PDz6H1brOW23u+Z/+E6GFVv3IA/l7tQ1z7q6y/t24/937U525KpV9YdiDV/5y1COsATRD6KBeMX0ddI2YX7XP7VP0L2r1eeoaQPjYDD1zcv+uf21jo81uFxctW3Xsy9GZVAViNtJYsDtmfFOyNUmIfhbVab3n7+jVvX70GaxgMBjQakjTzOZ7O7MruPtNecq0x2klNBfhsSufMiTS0LXRNxXazoigyjk6OSGI3q311eU1Xt9y//4AnTz/i0dOPIIgc2FEK1XWUmzVCWAaDATZNqOvKRV/4KCSrYbXZ8t/81/+Kv/vlF4zHI6RwmZJl1bimfZKQJKmr1SIQQUDTdlgLYZoi4gwbJmgR04mEztmeof3vfb9GCPxnINwWIVw2bCA0KoDOGOrOUpsQkSbE2YA4TjFK0zUdnZUI79JsRIB19tHg/LbQgEK778t+lMI1PNquRbVuMnWQpRzszbl3csRkPCYMQ2dy2a+JPlKirp0h0KuXL3n96hXL5ZLNtuT12zM2Ze3KA58XmQ9SrHHGauv1GqUUk8mUo6N7DCdThAh2jRXdqd25V1oThCGHR0c8fvKEL7/4Da1uybKMJE3YbkuqqvGft4vICnCmN/fv3+PRowdEUbhTEGnTA0XnH3J+dsr11RXWWorhcPcryzLnJeCbP6PxkO999ikPHzwkCAO/54t37tZ/2/GdYDFKc5dhZNxFbXVHUmSApNqWKLRXMBsSGRIGBhHFCCuxRpOkCWsraJqGKIjomhbTrZ3OVgTEaYZrbbsXWy2WWGHd3JAQCBmjlSEMYy85DZzzn9YIq91mEiVY4boEwkCc5c4gxWiEDTFaI0kxtkVIy3a7xMqQQZb7zLOQOI3QRoHpCMMAEeRu8ehaojTF+SZYkjh23QEpKYqCti5pOo0hZFzEFJHiYDbClNeYtmV5teLLr75F7uX8+afvs357yYtXG378s5/w4PCYPM2RQnD65g11WfLZD7/nLOXbGlU3vH7xmjenpzz69H3K0wu+eHEK9x6xLlvWm4qT9x9zUCRIG7K+WXF5es3XL89YhgP+8A8/497xAWm9Ytksuagbbq6uWa42zA5mfPbjH1DXWwLVkEUh//ov/4Y35YbZ3pD9vRFhCP/JP/8/MhgOOXhwws/+8R/D9RXXlSZKMk4rTbu9YasXtIFiNB1RrtdUUhKJiOEoo240q1hRmi1YyWazpdMKISFqMwZZjsSyaWtMq5BhhJKWNIqRWiG7CmEadFc7h8EoQ4QRrQFNTGcsi1qRF0PiICQKQnRX0zQNlYUuiBnkGULAxdU127OXziVPwKNHh3yynyJUjR7GPHz/PcajI2zdYqUgDCOkFg5sSYFpNGVdsrpe8frZG97eXPHq9SlL23D/s8eosy1f/t3XTvYXSgbFgDxLaZsWWzfcbLfsvf+Qx0cnZGFKGsa0dU2WZpjG5z21CoNGBxLCjMPjJ/yH/9P3+Lv/57/i5dkNH376B2xeC3SjKANDW7VIY+mMICsSDh8d8/jJY8bZANG5AF9ramwYojpYXlxztb5CRAKmho8+eY/ZdM7BfI+gk6hO0zaGetuyOF/QCsXJw31yERMY11FttZv9/X076rKiB2v0zIx1zE8PHl3t0rtg3jJ5vTyx5/PAM0h3fvd1EdYv8j2P2JukiNu6zHfE7xRBd1vhgjsFsdgVT/3m1BdBOxD5DoD1XEL/mnYsQg/Y7hRkHhBba3zJ5YBNICxRANa06M5idMctVOkZM0GWJsymM/b29kBIbyTjUKuTY3rIYHt5pkYK12WPIrGTaPqPx9mSG0O1Lbm+uma5WJAmiZuXjBLiJHUZwOY2pPs2d0uS5TlgOb845+XLV6w2JXGaeXMgl5+rOkXXtezvzUmTGGvdvBWelTSmhzjeoMdaROBGFGQosDhGUXmQqAlxginh58LE7py4Uynxdj8OCBGihaC1IUKEhMWYcZT60GVDayWbRrt70Og7duogjPvcXQRKL3t126v1F1sQSLI4ZVjkjEcj0iR2Bau/SIw1CCRBFPmIgFNePn/O9dUFAs2TRydYoK4bXr46ZbWpEAiSJPLxF86QQkongcsHOVEY+llNubtndrOK2rh5JtzMzv7+Po8f3+f07QVl1fo5UHfNWGMx1hk5WWuYTic8eniPUeEjb/w9Y7Vzd22bhvV6xWKxoCpr5vOpi/XwnXknC3OMvRSW0XBAnrvX69hq623nf/9kqEZrBx7sLUj0+O8WjP1W12u3jnGnMbX7ptsP+hxLS7/ovAsWxa5B9c7qdgsE/QsSSOgbkrcvkp61fAds+uey/Svof8z/3/4br9a/b+len6RnsOWOodwZjgjBaJgyLlKs1myamuXNNW/fnlFtNs7Rdzbh7Pya1aamGA6RMtg1apxxjth9fkYptHbmc4Fw65LAMZFt29C1tQuxxzHyQSBQWnFxfsmvv/wKpSyffPaUg8NDN65UXyOFcww2WlNtS+eSmSUgEudloDR11aLtBm0026qhbjvOLxcMRwUP7h8zm02JkoamVYggdB4hfp76lj2WWBkhwgQVpCgRo4jQBGj6+XbhGzbm7gfu7mMpQYZYEaCFQeuW1hg0zicAGbg5ybrFGEMoesbXbwBS3gJR7gAb2c/fG98wcufdxVQl7M8mHO3PGQ6cKZ/SDkR22tC2vlbcblkuFpydnvLm1Vu2W+eKPN/LaJXl9dtLtlWLMJI8TcjSmLZzGbfaaCbTGQcHxwxGE4Iw8g0V6/chg1LO5KjrOtK0YDbf47Mf/IC//de/4OWLl8xmUwZFwYuXL6mbhhA3CuDWNE0+Knj8+KFTPwh3XaquczLnzjGKVxfnrJZL1/AajZlMp6RZ5punXvnUKcrtlq5VFMXQz1Fa8E6su5nef+D4TrCo6o0rAoTAao0xLTdXp0iZECcRoVYsludEkUCHLuzXihgjII5TwtAFVA+KoesQ2wilWjDanXI/89W0HbWp0W3jwGLgzA105waaAxG7IHgirBB0pkMYjZQp1kZ0XU2cp2TxwG2eXeed/9zNGaU5UgycU5qFrqtp6g1JFHvAK1Gqo2s2CAlpWkAQINGosqUNYkQQUDfKZchYSZDHaAEiBLVtKEYpuWnQusY0Hc1qy9e/+YbscMzPPvuA8GbDVanIx2Ou356TiwS5L5nPpmRxRF3mLG+uuDg9RUrp3JSShNnRPlkoefHFV5yWAfeGE7rFkskkYy8PaDZrGlWyXpV8+/qMv/76FcNHTwhszfL1S745P+Py8oooT/j+9z/mvQ8fksUpcRCQZye8ffmGv/qv/go7HLO/v4+tl0RJxKP9OcNByuVyw0//8Z/y6HiPs9WCcrvial3TFEcEEvJ8wCQJqa+uOT+/JHv8mCLLaDYVbTqDIENY16WeTvZ8IaqwQrpzjbup4iLDKOsAfxS6EGbtpEwUQ+7tzzCTI7TImMbS5T1pN9isLCQIl1tmFJ1uMAjyOMVqQAQcPz7h4NPHBEbTlCWDWBPWp3SxYHZywmgww7ZQqpJsWIBxMSsohe4sm5slq9WS1WLLm5srLjZL5h+d8NOnjzkaTzn/5Ut+mf2CN5s1WZaydzTj4PCQrlXko4xHB0/YPzhiGGWuEaIda6qbjrKs0EpRViVBEKF1xLo1qPMF904e8j/8n//P+Of/yT/nJ3/6U67/9a94/uKFi+nolBtqxnL//hF7sz3yLEcY0J1GtS212qCVoV5VrLYLCDp0FHL48ISD8QxpQ2KRutyqVqE67ey0r5eYzLjGgQ3QnWMxDfadOuL35Wjbroc7O3pN9sWHR1BecehBYl9VgStKJFYEu049fdfd/9n4Tcw5kzo5VQ8Yre1zqW5niNweeQfp7drpPRrsD3HnuW5LsF09tftrDxD7PzlG0e7A6p1Xa52j566CxGU7YTVxaMljiTSKrlOO4bPGFUbW/YqCgMloyOHhPsVg4DYq7dd8PFjwmYWddgBNqY4osBgjEQQ7YGH9Z2atpW0Vy+WSi/NL6qpCTgLSbMCgKEjyjD5I2VpL07U0bYcA0jRzuY9dx2K5QnUtaRIxnY3JshQRBEgsgzxjf2/OfD4nDCRlVbGt693sW6ccsEQY2lahfFGgLQjrZqg0EUo4dtEI320X4vZz9/8T/SmyTiZsjfBtVzcvK61wapckJLQSrVoUkrLVNNoiPCNpfJi4tIJQ9C6PYsd44wvWJAoYDlJGRUaR52RpsmPtxO6Sd6z31dUlz559y+npKUkU8vTpI296I+m6losLl3f2+vSCMBDkmQOgURSSpLH/vP3+7xsPUvSzvW52p2tb2rZ1YdChJQhi5vM5H30smU/nvD095/LyhqpqUFphrCvCO+2KqOl4xGw88mYaxmeKWbqupSq3LJdLyrIiiiNO7p2wtz8jSbPd5+Lk5BqlXWh5FEmyLHbyU7SbudLKqZp+z47OaH/x9QqF23Wur7fvlo07ku/uGuHXmLtg7J31ih6q3U5A9+bK4u5q1d8I1r7znMBOSg23YPWd7/sHcUoL65tou3RZp4izniX9bWdcH3HjiFDhYZsA6Zt/piMMLKMsJhKGpmxYrZZcnJ6jupb53oRiMHDA62rJcDJhNJ44ZvGdD63/MHzIfdtgVIcIJcKPZglcwyKOQrIkRpBijWa5XLBarnn29TPevjljvncA1nJzdcnNYsXl5QVOjr3H3v4BSZqSpClZnjujx6ahbhxrqIwliiPiJAEpieOUBw9O+OSTj4mTiLenZ2y2FS6WwoEI7btN1mh37wrpmmAicr+InInQ3VNjf/t6ML4h5jei3zrJQkrCyDWUnOLkzhVz5+MTuIaQO419U9NvyG4CgEBaolCSRSF5EjIqMiajAXEo0V13qwJSzkRou9mwXq1ZLZcsFgs26w1xHDGb32c2m5FkKUfHV5xdXLHabGmUIc+9IZaUxGHEOMsZT2ZkAwe+ds0M/1y666i2G5bLJa1STKYhYRTz8PETvv+jH7BcLrl3/x6j0ZhXb964Wf6wv2NACsl8Pufw8MDjF4NSLV2naJua7WbNarmgqWvG4zGT2YxiNCFO/OiHj/RQys3hrxYLurYhSWb0zTVrnC+NlN/t/PzdBjdthQwitIFON4RhQJEPUJ1gvdmQBJJBWtDpmrrpMBJE4IoKbIfuAjplXOZKFHlXNVAyICQA1dKpBm0scZygfd5hFgeIIEKkbhDeYpAiwKiWtqkQoZOCKQFWRiSJQ89ojVUtgbQkWUrbWUof1tk1G2rToYyl1U7OVfncmcDPt2R5iukqys01MhSouoMwoZjsIUSItm6WMRSg2nInJ8jzhP1pTtisWN28xaiW189eYoYOoI1lwNvFli+fXXL45EOefvgBsXDg5vrinEAIurZjuVz5LqohCCOa1Zary0viQcR0NmGcOjOJyTDkKJOomwXrqwWnVwteXi5ZaMHDD+5x9OQB89mQveGQvVnOU/2Aar3h9Te/4evPPyfPBxTjEe9//D5ZVlDVCh3GaKXZ29/jhz/+HqZRfO/Djzl/fcrx0R5d25FEA1ZXz9kGIXJQMDYVomlYV1u6ukWlCWko2W4WZPmQKEp9HpLCRDEikM5OXrlg1U41aB9IraQkjiMiEaB0S2wN46BzBW0cMJgecKUTl9nUlVggiiOwkCUJAbhBZUKiADprCBGEocB0HednSyoUwzwhjxJEDCaWHN5/wuHBfSKRU1tDNkhJZIxRmqpt6aoN9XbL2+evOL265Hq9ZvBgzk9+9hNO5oekIkKtGmytCZKYLEtJBwlFPiAUAXWnODg+YBAl5HFGGkZeaqFom46urVGqxXSGzeWGq8WajRKcfP9HTPdmCGn4s//OP+H/+n/+v7A3GVMcH3H28g1KCpSGzbYiLBLAEA4ixqMhptWo1hnxaGMoy5KOjmQvZzw+IYpTxtMxiYiQMkLaiKYrMUZg2o7qes3l5ZLkMCGPI3TjOn7KtggCtqvyOxeV38XD6H72pW9ieJdTp6fBYjHS+mLK7txEbzvtll7deQdf/lbNYHfB9LclEz363DF7+Oe9bdD2z3VLG74rGbkFkHc3V1eDvdNq92/WF2m+MtzVM8K/N0CYO0WXcGtSIgyzPGI+SIgkbpMxLqBdWGeYo5Vzv0viiGJYIMPAD+DfvgjtGz0uMqOhrhu0apCExBFEQYwMXdFlvRzQWh+50zmmZzAomEynTGYz8mLIcDgmjhOExLNKG5brNUEQMJ/7rnXnzFLyQcZ0OnGSxOmYOIroVEcgJcNhQZ7nLsfPKBqlHJNoraM6lUFbRefBibESN4wYYG3gAJ8I6KcRe5OhnjkRd4vsHXvr894QzlzDZ8SBd3kUAUYEdEZSdoZQu1gI0f9npZcn468vdz6lEIRSkIaSYZ4yHhYUeUoSR7vw+v66M9qt01dXNzz79jnXV1ccHOxxcs85g7rrUdO2MVXVEkWhMyryLor5ICOJIwZZRpbnRJFr7ApuWVVr3AxU0zh3wu12i7WC4TBmUAyJk5zJdI+jg2OK0XO2279jsyldBqnR4LOIpfRZZGHgstWM9i6tHU1dUzc1Ujq512QydgZLvdWlvyesAaU0dVVTlqWf+3ISQq37mBD9Lkvye3J0rfK9p7vrimdsxO7Lt4e4FaTugF7fl+r/yTvf/2/fTRS/BTjvKjHeeRV3HvbdNc4j0F61cIvUsHf/ZN99DCtuIavolRUyQFvtxllUSToKKSJJV1dcbRbcLK4xxjnZDwfumlrXzmhq/+iEfDh20st3gK/bBIxxcs+6rlFtQxpHRIFERoFzvIwTBj4vT3Utm/WS7XrFZrMhkHD/wQnHJ/cZjofEccxsOiIOYbVcsl3foLqGNB8wnc8oipxtVfL61Ws22wqtDXujMR9/8hFFkbNcLlBKc3R8yHw24er6hs2mpKxbgiAijNyHpfq4IK+mk74h6ppg/Qz7u+ez/5j7a6Q/HQY3ctHvW8YDeSklInDznjsW2QPT3nW6N4hxjP/urN2JPxHeNVQySEOKNGI4SBjmGVkSO8WF0ZjOSVTrsmazXrFcLNis105Oj2U2m5EPBgyHI9I8c+BPRuzv7/PsxWts05GlKcUgZ1gMGRSFm+1MMsLY5bOC27O00dRNxXJ5w/XVJdvtFiFDiqHzgtjbO+Sf/nf/nLKueXDvHlEUunE948yVpL8+0zTh8HCfQZ77te6WqSy3W+q6QgjB3v4Bo8mEfFAQxk5yapSia93IRtv4vMXFDUK4BqbxMnulFdqYXfPwHzq+m1nUklBItO5o2o5OGTABxgZI6+xmwyDAigwjNXGWE4gIpEFo5ZzZAo3wm2DfUZahoMPZMBtrCKMAG0DoN7e2bkAapAycLFO3GFVRN7XrPASBK15iRRClIDJsW7JurzBGkQYSHcfIMCYOI5IkxoYDutoVuVEQYlWDMMbLy0LatqatG7cIRglhGBNnEcoYurbDmtYHt3Yu88topHSU8CAOyESHKbd0dcnF+SntIOIP/+DHTMOU5dtTTpcNr9Ytf3RyxHhYkAQRplXcXF3QNq0DUkg6rbm5umS7qVhv1oyOZzx+eEK0bfhmsSWPAgplSNqay/MrLi6v+fpsQ3I85yePThgYTZPljAc5wzxhGE3pyoavnr9gc3HFumtZLG4IzkNsFiNvan79/C1tICmGGf/en/8JP//Bx9y8eM3Z6QU3Fi7OLhikKavlik3bkOzvkUYpYnVOkIZkUcpqXWKQBFHIcFBgdUAV5KAlkRSIMHYFtnYdLoUlICKQEiugCBKCKCAOQ0IEkdVErWO2rTEYkYAMXXZPIF1mDIY8G7gYCCkJhOss11o7h0DvijbOBxxmGSPZkQQBdVVTq5ZHTx5wvLdPYCRNp1BBQBJFmLqjbraUG2f73umWRbmmjhXz9/Z49OET7s+OCY0zGipXJVXnmiXFIEVEAtt1aNNxcDRjPhq78HSlvV1949jjqmSzWrkO4LbjxW9e83J5zvz9J8xPZjx+8IhUxkhj+Wf/m39GYta8VBq0ddbKVlArzTQJKYYD5vMZqUjQTUdrWpBQrbas2zWTo3325/tkMkVrSxpmLjcvTFCV63jWZU25cblyi+3GuakqRVMZtpsNCoVtBDfXm+9cVH4Xjx7A3S003OG/JoSf8fHf3xUd3CHyboHArTCTd5hAa3sesO+O3pmruVsc2dt/jzWuoJG+oPOvS9z5h7t+7B228/aPv/Vidz92lwVw3XYrcZuyf+tChljrJlL2BhHvH+WcTDOSQGM7z/71gBG3dlflFqPdjKf1zS975/0o5Zi5qmqoyoq6ady6GhiaGkJpEESEgQMH1gMzrCVLU/b394jimPF4zKAoiLOMMI7cBmkMXdtyc7Pg9OyCMAyJooTBYOjXcc1sOub9p094+v4T0tS5Y2/LrXefcxtoVW7YrNfUnSYIwt/6uARIidUGhcSKEERIL0O1VmDE7Znqr6J/6+ELXeu7CsIXSVo7cOlcGa2zrLcgtAODvcOpQBD02mOBd2dzxi6hhCQUDNKYIkvJkngX/N0bKhkLRhvKasv19Q1nFxe0bcO9e8fcu3dEnudo4/MxLU7ma7QDZVWNtX42sSiI49iZD0WhM5DwwLWfOW3ahvV6TVluXZZZ3ZDnQybTOQcHx6T5EKO1cwOXkmfPnnN2fu0NQ5yzq7XO96AYOAlx0zRuHqhrMUYhpGQ4GjMohg5QBoGPO7HcMuXCm+Z0rDYbNtstcRxxN95FG4NR3e8ls7iT1gqxY+9kjxKBW0rnzrohhW9uiH/rtbxbvcTda/7dewDx23eEfYdscveYXz0NO7OSu+jj9nnugJE7x7tr4rtvA25jZJ0cVdCHLUoBRgjaukbUK45GAR8eDZmmgnJ1w/LyHKUVe/MJk+nYxRs0HcvlmrZVjCYzojim086Z0hmEeSbLugK/aRqqsnRB7z4HVcrEM2vu2i7LiqvLSxZXlwirGA4HjO8dEUQJg+GYMJQEAcRJzqhISSLJN98849tn39B2iv2DQ37wwx9RVg1ffvElTV0zHA355JOP+JM//ROsNbz49huWyyVJFDpTlMsrttuKplXIUBObyLkEa41WnTeecp/9bUblbdNz9/mKf/N89CdB4thbKfBspZusllK62JbdXulAaP84Liann22/s4m4Hq6XU7vRoiSUDJKQcZEyHubkqcvnFcLHS+mOcluyXCxY3NxQbd38dTEsyPMBaZoSRbEzC5LOcKntvGuzMYSBJMsSxuOxW2OGQ+d4KoM78npNpzqqsuTy4pKbq0vqqkQGIWmUkSQpaZoTpxkffvwJ/4E2rL0EVgTB7kMUwo0NFIOc+WyGENA0jVNldA11VaOUIs9zimLIcNw3Sz1gtbe5uEppurahLLeUZUU2GGCNRXUtdV1RVyVKG0LvgPsPHd8JFjfbBXHkHEWlDZEENE1HGFmElHTW0HQdSezCIaVQpHGICBI6FbjsLtVhuw6jSoeKjQbdkRYjEAGBtZTlGqsbsjxBDsaum2fdYGsQhYg4wXQRMoxRMiSOEhIZ0LUuZ0XImCgICQJBEgi6xtmeB7Fy2VU6QneWVoGi10M7h70gGqCFk8O2zdp1MYx1XR8REgmBsoYwiTG6dqY51oE6YQ3/4Z9+xAcHI8zyNdHlMxarJel8yCcff8okzlmdnXF1s+TZ2xtUXjAcDdneLHm7XDAshs64J88ot1suLi7ZbEqmkynSCt8hlcRtx+tX19yEM2Kj6BZXnF2/4ptvnmNmE3765z/neDigu17w6vyKy2rF6m9/QS5A+5wfrTVhGKKXK96cX/Di5SsqMsyq5fXVDaOHD5lOUo4OZtRXlzTLBacvX1Nj6DYVr15f0LYd4+mUbZigTMfhfEzclqyvrnh7fk6Yu6yWar3GhhnLpqIMBsgwQnYto/GYfJK5TDAh6JqaTVWyLku2XUliMwb5kLgzSLMhsIqm3jomOUixytI2Fa1SdBiEjIjSlMgIhDAEUcAwLIi1pm06FqslJgDbSMYtjEe5y+YaZezPh+zt7yG1pGlqWhmQ5gWplCixoavWdG3L2etTFt2K2fGUz+4/ZjaeM0gLZAuq1WyXG9bLNZuqJUxiMpMihSWUkA0SpsMhsRAIo7EYdKupNivnHFx1vP72jIvNildvXvPeDz7gR5MTssGEIomI45AsSgiF4I9//kd89V/+C/b3D8gEmLZltdlAAJNRQlJkzKYzaJ3h1GaxZFVuGcwT7t17QJ6PGA7GBDbAKA3aFURWN6iyRquGpi5pqparywXbbsvhoMB2HV0Dm5sVte5Yb2pE8d0Wy7+Lx84h1BcmYldqvAsb+z85wtFvcbsa9HYz6+fxduyY7WMTerN2b6Ij+862s4vfHRZP6fmH3knF3IyGFKK3XaWHirezjvwbu/YdDHn7/izcZSgtgAEjvOSnN2QxmlFk+fhkzCf3Bowjl7XX4dm/TjllibUuXmG53M0QWrxhmBUezDl5U9N2VJ4FUl1HKB1o0lrRtriZnshbg/u5PCncLJwLWXZAu+sUmhpkuMvgurg45zdff8PZ2QVCCJq2dbNE1lLWFUmSkGXOTK3cbtms1yyXa5TqKIYDxqMx2+2W1XpDq9nNfvQFqjsfAUjp5aYOKLpfAVj5jlvuO7JhKwBz+yVf8EpwANRnCBrjpKbOnMbsCnUrweU5+jpsd+15EyThJJ+hFM5RNo4YZG7OJgwDF7viJaHGS+2buuLy6orlYkEchszu32NYOMdlpdRt48MYrLE0TctqtaVpOqIo5eDgkOlsSpom3lkvRMrwlmUyitV6xdXlJVVZA5YwkCRxwmg8ZTbfZzSeE0aJi6sSkvnBPvuHB3z1mxdo4yzkpZQEQpAnCYM8BavpOs9ESUmS5KRpRpwkJEniC3DXEA783HHPVCut2ZYll1cLlpstk+HQ28/7eVTjpLJdV/N7d8jbdpOQ/pdfP3YyTXgH+OHlnHePf2sD5A7laP1jCO7gz7tgsnfMvO220Te57oKD2xnsd4Fq76e6m3P8rbVMekZL3PlqL/VH3E6+9XOMXado65rHo5h/7wf3+OBwQL284HKxJpSOeZrNJoRRiO4Uq3XJ61entMqS5flO5ti2LeCyaLV211FdlWw3G7abDU1Vo9OYPEvIktA7wcJ6veHaZwHGoeD4aJ/5fAoYyqqmrTaeOVdUdUvXOZb++uqKm+trmrYjCiTlesHzl285PztDCNjfn/P+B09Js4xXL1/y6tUbmqZGIJz7c9uBcXPbol9YHNKlNyBDetdaA1pY75hsPbd3y/b1bdBb8yN20R2hEATCYJXZzcm907Sy0M8+Gu9M3utb7uhccCtoP5Pu544RdxpjMZmvn6T0hnRe1bDdrtmuV3RtTZZnFMMhg4GPyrEOZLnID0XbdlxfXnJ9de3l8gHDwYDpdOZSGcLYrdlYrLYYnCvpzXLB2dszrq6usFqTD1xdOxxNmU7nDPKCQIQgLI8fP+HFt884ffuWIHBmbK5WkASyz5EduOzmrqNrW7TqsECWu9zaLB8Q+ZgO699rPxeutWvktm3Hdls6/5g4ccBTK8pyQ1s3hFGEiL87P/s7q77hcICqSkzdEiUZ8WBEEqd0raKrK5I0xfism1A6a/MuiJ176CABA10TEMcJnc24KRusrpCmo9pcotu1KxSCAqIIpS1lVTMc7pHFkSsEtKFWFVk2JNBDNnWFaRVExrnmaaDTbOs1ZbvAdh1pmpMPpzsdbmBdqHIYJs76uGuQGJxMSJEEIJMUk+QkUpBEAtVUVF1HOhoTGktVVxCGRGmBrjcI0/H+4zn/wR9/zBjF6a+vePmbBXKS8fjJ+4zSnPLiitXNgtPLFaerhmg4ZDocMMqHPHrwiF/83S/4+utvqOuSvf199vfnyEDwl3/5V6y2W/Is49E449WzV7xaCaL7BdRb1OKCV8+fkT0+4ZMPHrJfjNmeXXF5fk4ZZhwc7PHy6695sVqjmgZrOi7ONlwsNsg4IR4k/OCf/jn/8X/8H/G//V/+MzpgNBowzAX18opvr5f8xV/+gvBwxmiYMxnN+Oj99/n6l19xuVgTT+fEVqFXC96ubijGI5QMmY7HlMsFk+kUGwwpt5LldkOrW8JIcrm8IkkSHuyfYJTherOGQHJ0dMx8MsWUWyySIA9gWxLUmqaqCIYDlJa0CjrhQtGbWhHHgm69QqYp4zBHd4rOKp9zpBkUGUppbKBYVRWbizMCCR997yH7s0MSHdCsbuiwhMUMtdpyYyom8wnzcI/m+RlaGB5+8oT7x4cMkgFJPCC0sN0uXThwW6Kt4eZqSWcUcRwThQGT/SmfffwRgyBDepmUUh26blndOP365dtrzsstkwcTfv79nzGbjSmCgtYEBEbTNhVpEBLKEIkgH2TwtiKKU4yRaGPIx05qYRpNUzZs1JJAWoxpqU3Ng6MHzPMRUkRExOyMWoxGNy2NsbSqpW06luc3vHl7ybMXL+kmGqMmlMuS+sa5bXWJZfxgxP0Hh9+5qPxOHr6z7hWh3C1M+q/tZhXhFleKXrr1TknijEXudPeM0btsMXozALQDZX724m7H/FZi6J9IeFdP/HMFAb1sjP4l/9sOa9+pxcS7f2E3y7j7gi/0+mJKd0Sq4sFewkf3pswHBjq3WQU+lNtEIaJuUK1iu9myXq0ZTZxpiZTSB2ffFoFGu7y/tu1QysUgSJ+b6EwsNVoLAulfuwUpQ5dF5TvP26pmXTXUNxu2dUsQxRgk69WSi4tzFtdXzj7culiOJIqwSE5Pz6irksViSRQGLJdLLq+uqavGdfEnI4bDgrbr0NrQdYYkhSgIULtN2JWYIghARCD7+USxY6+E8X8Ut5/3jgO+q8/CelfGHv3d/oix/Yzr7id3zYY7F66/Nl0DVwYQhW4PS+OALAmd5C10YNL4kHoHwjWlz/1ar1bEccRoNCTLcwcqsT5bD6zVqK6jqRtOzy45Pbuibjr2RmMePb7PaDRABgFShq4JHDipU7ndcHr6hrPTU7TSFMMRo/GILM1QylIMR2TZwGeeCZ8RKUizlKPjI4rhgK03n0KAkMK5hecJgRSEUUjkQ63DOCKOXQC2lNKRrLKXBHsAgnvfVVlxcXHF+cUVTdsSypA0S4lCL1kzykcG6H/ozvqdPYSUu3Vn96v/Xr/cAL9N+91l7e48Gv0CY61FW3OnOfZbq1K/xvbAVMrbK3n3Gvrr+S5IfPe19avWLeS1t2v3XWhob7Mjb9fqfjbcPZiU7j6WQUjTtIRoPn50xA/fPyKj4mJtSaKA8cGM8XhEEAUobamrhpev3vLyzRmzvQPCIPLxG05x1zSNc9y1hrrcekaxpmnaXZyFY6Osd3fW1GVJud0yGg25d3LA4eEeUShZ3FzTVBXbsma5Krm4XLBcbbFYx+aHAVIE5HnI0fEhWZbx9vSMqq4Iw4jjowMGg5yXL17w+a8+5/L8jPl8xt7+Plk+cHV3WWJb7eak5R2X7b4jJdzMsDagsBhh/FmQfiRjd/Z2QLEHjlIKoh4oGusl4262XEjPUhrr98y+qQhaW6wwu8fqm7MWQYBFCDe3La0lCQR5GlLksWuMRY4dNP66NEZTlRvWyyWdahmNhozGE/KBi8zB4nJn29bVal3HZr3h5atX3CyWfg+SrmGwN3OS0975F7dOV3XF6ekZr9+8Zr1cE0chk8mE8WRClo8oignFcIyU4a4WCMOQJE2JomiXcdu7oYeBYDDISJPYuXv7OiOKItI0Ix8MGAyGBFGE9Out9a6r2ju9Kq+OqKqKxXLJdlsig4jtZkucOOVPXhTkg4IkTb5z3fhOsNhWLVkYIJIMKzS2K9FWIRFkRUwQxK4NbSXaCjQW2pa63bCsN6h2ixQQRTFSRhgb0tZLmmqJtB1JEhPHOUk2pmsVpi5ZLy4pr86omw3aVCRJjIwS0jgnL+ZAgMRQt87oOPQXTJ5lRPHchZ8mKTJ0FrPONcgZMhjVUK63VNWSMEvI84JAdOhOYE0IBGzoWJeACLFBjC0rdLtFCMEgyxCqJo5ijG7ZHw9QXYuyCl2VmCzkyYcfE9Yt28sLtustp+cLfvmbt3z1asWT7+/xxZfPSCTEQczBwQHHJ4dc31yzWK55/eaUpt7y6R/8AAnUTcOwSLhZLcj2DrERXL54QfPmFcW9Az56eo9JFNHcrLi6vOZsUXKha5JNS7euqNcl14uSz3/zgteLDY/ef8DT+/sMsoR//Gc/4+/+5b+i7CLiYUK9uiTIB7z44gukUqhUMMhiPv2jP+CnP/oRYaNZPnvFlwqWV0siu2awN+DJbMzq9MxlW5qOe0cnJCLmRhXEoyl73iZfBKFjLDRcLdYYAWleMBkU6K7h4vwC27Qsqg0Kw+OBpegqtK2RJuPz3/yGFWDDwEkwxlMGSUzUdayXa5qwxBqBlcZT+AGy1RRJwOO9EfeH+4wGKcJopiNBToCpNzSbJWY8Io5CdNuwuF7z+vUFbVcjIsHxp494eHJIKhLHGDQddVWh6y31est2UXJxes359QV13ThrZyH44IcfczLbw5Y163JD125p2pa2bLlerlgs1rw5f0t0UHB48pTj8REhEtEZpHbXtDLaq2Qk5WbNxfUlxeOHHHz1hl+9fIW2mtnMDVankyH5ICNQgs12QzYd8NGjI/KoIIkH2Ma4Bd5orFYIY1HKyV6atqZrWoJxTloOabXBdB31pkI+CEmaBFtbJvcGPLx3jyIsvnNR+V08giDk30Red+ibHjC+8/3+6LfF/m/Wd2IFmNvMLSsNRuM75t4J1BdOUhput0V2RRV37N/7IisIBC5v2t4+H35+ZNfZN7cv0/sL7FixHpQI/7jC+qxGDx09FWCEwbYNswSeHI6ZDkKsqVA+z1ZIidDaSeiFwCpNUzl54ngiCUM3xyGsc6rr3S37zD/lzXGkgCiQhGGwC6kXWB9nYsGK2+xK7/K5rVpOz284u7hmW1VulsbiQtyrLVZ1DAcZk/GIowNnDHFxfsbiZoU2mvWmJEljJzPvOvI84/6D+7z/9Cmz2cRFOgQvobPeoTVAt8bNTRrQIkbIAOHBokW6YtGztf6MgL2d4rqdzfIFge/aW9P36Xtgbx17yG3D4d0LbxdwsCsghHAjlaF0hGwcStI4cBlewe21abQB7cw2qqpitVpTNQ1ZnjEej8iyxEmjvSxOa+UdYzVN23Bxdc2vf/Mt51dLkJK9vQn37h0Shk5CFXiJa9e23Fxf8eL5c66vLsmyjKOTE/b2j8jyfNfplkHkCtQgRIgAo8xO3ra/v8/Dh/dYb7Y0dYcQEEUBo2JAliZOeZEmu0JLBsFOdiaFQArp5IUW76LqJIJVVXJ2dsbrN2+5urrxEmqQgdvzwlAShi7oe9eh+T063mUI7wIv3mlsiDuNjh4M+kd45wd6qWUf0aK1jwvQd+WDdx5LSgIZEnimW8j+99tm3V236XdfPNyV07/z7R4U9oykn1PtAeJtM9DdW1I6IBPEMTKM6NqOKBBMBzGokuV6QV1VDLKEPI0RGKy2aGWczP30gm3ZMBMu9xE/g5ckKU3T0Pis0aZxJlkyCIjjiCQKGQ4L0iwlCJ1MumtalFaMJyP29ubM5xNkIDk/P+fN65ds1ls2m5qzywXXNxvqVhFFAUkcMhxkxHHkZPmDAc++fc6rl68JgoBhkZOlMS+fP+PN6RnX1zccHR/zh3/4hzx574lnjCWLxQpltq6RIMWuUeXOlztHTgrv7iGNm6V2hO5t03K3f9wFj6JfE12jUHcuPsQSuPgjv+a53919C+waVf25hb7Zumv/ILCkkWA8iJkUCVni7l0h3NrlGOOWxc2C87MLjOqYzWZMZzOiOPX7vnOTFdp7E2hF01Rc31zy5u1byqbBCEiSmPsP7lEMBmitkEr6Pd2w2ax5/foNr16+outaxuMxx8fHzPb2XHSUEUTe9NP6e1BKB5IFbl46SZJdUyYQkjAMGWTu3ApvgJckMXEUk2YZaZa5x/M3itV93M9tHEhT12w3jrG+urhitV6DEAyHBeNwTFEUFMMhaZb55u8/fHwnWFw3K9pGMCiGpOmQJEloO2dfHZmQ5WpB3WxI04IgyglFgGldtmEy2WcgjlFNRRRIiuGIzliaZkYSRpTlmmq7JDCCJElJwpayNgRpiDGQRhFpekKS5CgLaZwihbPqDUPvliklgWmwtqPttAcLAa3WmFZhjXIsizYYIbAiIBrNyedzjLIYo7BobBARRBKnwYpBBAySjEES07UVK9EhRECtNVJEmChDJgG/+mbJ/3v4JT9+MKVVHceP7iOrknZT0rY1q1XF61fn3KyW7O3lHB/P+PST95mMZ0gr+PbZN/zd3/2CfJAynU344R98n7buOL+64cW3z1BaM9l/yI+e3ufrz18TZQnVmyWTkwnfe3qP0ARoFXJ9ccbb82teL7aUSKq3bzg7v+HNdUUHVJ1i/2jOp599yPFoRFWVNIs1f/Nf/TV1oCkmE7p6hWkkpUqgVewdnzDaGzPMMmIZopqSMJBEacTlesVnH+4xs5rN2SVn55e0QcB8NEVWDct6wyIKKWNnq7+utgwGBWkY0BhotaFtGpQ26KZ2eZrGIrSiayuIBTES27ZuxkmkRFnMKE8JrKWtSpptyVJr0iikRGHbljRKiAMXhhqGMTKCPAtYvDlFy5bxJOfkZMYkn8Ylz0cAAQAASURBVNJcnqOE5XJTsf/gCYEIuL664te/+JzX5ZLPfv5DPn7vEbkMSeOUwEjaqkS3Dc1yRdM1qLqj3JS8+PYtLy4uqUzrOvhpwMm9Q0JjqJcr6rZks1qgYwHKsLi6YmFKPv35Z4zygkE2QtgYGYDWNW1niQkw2oV029BSbbZMjvdoRcDDT39A/Bd/Q5q25EVBSMj06IgkyomCgHGWsHewT2ydhDoQITbQfiNvne1+01I1DW1b0VQV5arhcrlhW7V0VYtNK66vbnh4/zH5tODJ3gPSQUweDRhkk+9cVH4Xj928AD3Ycsed8uj2sLfimB1D9I4stP+r61oHgYS+a2ju4DncRu3kYHeexRe6Apcx5lXzyEAQBq6w6gPKtXcVBbGb78Ob14j+pdl3n7MvAoRnFnvGdFdDSg9RlSWymr1xynycI3FjBMpY1zi5C2KE3M13a2MJk5QgSrBeedI/ocXLh8xt8dg74kVRRBRYwtB1VYPAdZiNNnSmRegAbQQ3yzVnZxecXy5ZrrZUTXcHdEOWJuzPj/jg6WNOjg+J4oiLiytWq+dUtZsX7pQiSWKygzlHR/tMJxPu3Tvh4HDPdXvj2H3+UhBFIWEQIKxjG5UCEQlEECEJUELi0Xsf14nYfa795+NOgOT2ZFhr3QbfA8JbcnF37Tk3R3bsz05qfIdxdtJk/yUJYQBJJEmikCh0+5q2GmGkm+nsOjabNZv1Bm0sw1HBdDre5S0af24M1gE47SRvi+WKr795zvOXrymriiCA/b0Jo6GTSUkEbdPQNCuuri55/fI1bVOzv7/P/QcPmO/tEcYpRhvqyuXDiiGEQUggPaOBayoopZhOJnz2vU9ZrTacvjnFAmkcMxoOSNOIMAwIo4gwilyMlhBI3wmxnq3V/jPsvAPrZrPm4vycV69fc3F+yWq5cg3mLMZaiNOUPEuIk9DNzInfQ2Zxt3b54lv0TSvfkhJ9O8If/brRN6N6wLa7UP01bd31GcjAxTlI72Tc/xtw64xXoTmG02V6ykD62VbfAJFih0n7Jgr9nwU70NA7oO7WNbtbme8sp7fr6u5BhUT4EHcrtHMz1oostJim5PLNBlNtsKZzedtYP8Nq2Gx7cybr2fQAkMggIAhDwjACa1mvF7TbDSDI85wkjum6HIGhyFMn25YCoxVRFDLIE4qiYFAMUMrw+tVrvvjV55TrJYPBgKpqWa+21E2DUgaJQaYxk+mU+d7csfDbii++/A1VVTMYFIxGI5q65ttvv2W9LTk8PuZP/vRPeO/pB2Rpyma98nJO49w2pV9PtN7FECFCRBA60xn6PGHj3W3N3Q/aAWZ2yxJ9M1JJkNYZ76mucfJwGewasT2DKYIe2O8uvDtX4u3+2l9TsbRM8oj5OGOYxwRhsJNsGuNyvC+vLnjz+g3WwMOHjzg+PiZOUh+F1O+b7lGN1s5RuSo5P7/g+npB12mMgeGw4PDoAIT1M9Kuebherzk9PXOEhzEc7B9y7/59lzGcpK4xtqlQovOzmuxG7eqmoq62ZHnK4eEhb9+8RStNELj1O0kTetgdBCFx4tym49jFRkkZ7JRL2mi6pmG7WVNutpTVhrZp2KzXXF5csFgsaDtFmrZYLHmeMx5PSAe5H9P4bjOv7wSLSTYmFIamrWjbmjBKCJOUMMlptCKMM/IoRamadrsAEUIoyIKESAtPBTuKd7VcI8OIIktAN4yLgv3JjLauqZoOEaWM8xnzKEWKkLbriKIAtKZWHXXnhjmlUhjffZBYlJGk+RBkSxgDuqWqVrRdjdaKMEiQ0uVO6a4jBBSSDtAiJA8DpFS0SlM3JVEIUZywKiUrC2GUEUQxYQBBIAhDiRAlMgp4/2jI4vI1v2rO+eBoQiKBrnHFd2c4u1pTBprDowm/+PqS589eUaQDnjx6wHw25+HDh9w7OuLq6oqziwue/fobt+kFAfdPjtjUJUcHE4Jtw/nWcpSmmCLmk48+JmkrmrpjuVrz5Vcv+PsXp8iDI4SQnF8sOL1eEWQFeRQxHhbMH9/nJz/5MQfDnJOjQ5qbNav1lkoosrYkjQKy4ZAiz2kzwc/+8c/5yQ8+4/TFW67eniPrhqpuEWHBfBRgr5ZcSUWQRO7npMQ2JU0cIJKCpoWVWtNZ51Ed1A21cbIJYTR5EiCkoTEtoResV6oFKRgEAmk76qaCMEaFGSKydOWWcJATe5v8qtqiGTCf79Ou1hgvUdM+FDoIDOO0YJJNUdslyijyLCYyhqbaslYKk41Y3axZVw2vXjyjSlo+/PRDPvnwfebpCNEpZ3qgtYuP8c5gquuojeHtizP++u+/4EbXaKXQIuD440ccHR5Q3qzYrBd02jlRXZ9tIA6YPD7g8XzM/t4BogtdZ9VKbGdpa0NtBfM090W+2yi1VlxfXZEcHvCDf/Qn/OIv/oZfvfp7QhFhEZSLNXVVkw9GzGZTsjBBVS0yCum6DqkNqlOotnUSwKah6zqqZc1qU3J1seL5t694e3HGcrtgkAiiG8PnX/6Kp48f8uBgnyBISdMRpvtui+XfxUPIwBcZt2Ystx3s20K+Z4duu+x99xXE3XgpcVukODlm3+EO/OyVM18S8jZ0uv/BHQ9k2TFTQjq31V0H19ua9xEUPRA11rxTE2HtbXyGxQ+G3FKMOzAs7zy/dQWBNIo4UMxHI/IYuq7BKuVn6Nzn5NgDX4Ba5zBphSTOBsgowXjGrX9KB/7Amr7ocF3VKEwIA4mUzkLBuVRLQNNa52Ra1x3L9ZbrmxWtskwnI8Io5vTiik1ZI4WgKAZ89MF7/PCH3+PRgxPCQHJ+fsHVzdcsViu0defBYBkUAw72pgwGOYM8pygGRFG4mz0yxpn2hIGTNBpj6TqFUhDFgiiM6EyIeDc18w7ou8sUWiwGaS0CvTs3xpjb80F/zXhO2RfvyGA3Q9pL7awH+j2j2YvChAQZSMeGhtJ32DVda2najqapqcqSuq5I4oT5fMJoMiLzEiRrrGusWsAbc3Sdoq5qri6veP7iFcvVGoBBnnB8vE+cBBiraeqWm/Kam5sbVssVQsCT997j/oP7FMMRQR8irjVd02KNIY5jZ6zgGwnaaKqqom0VRVHw4YcfsFqu6OqabVm7CJChi/6I4ogwCgm8QcjtLWT8dec+967t3AzqasnF5SVXl5dcXV+zXK3YbkuyPGM0GrJ/MGc2m5Aksc9i1Ajx+5ezGIV9vMPdFe32uPt3cefv9u4XdlixB3We3RZOHfDbUld6ECqEdwy97bP1kRquCXf7XLdA0d7+212moweiRu1mtKx3r+3zGvuZ8R5i9E0xf5O41yoENApkh+hq5vOEUSwwTYW0LUEUgHTOoG2rKMuSVrkM8eFwQHq9IkkTAu9mGQQRURz4eW1NXTtTxiSOXJararFKEUeu6SeFQAaSUErXpIgjtFJcXV7z5Zdf8/r1KeNRQVEUaLP2rLckDALyPOG9p+/x45/8hIOjI9q25q//6q9Zb0viJCZJEsbDgiiKCOOQw+MjPvne97n/4KHLrK0qlsslNzfXzg06cM6k2nrH6q5DaYOIIwhcFiJCekGL9RF4/b54SwPb3d/8quSbl8YoVNegtXM2FtIx91JILzHtrxl5Oy9/F+gL3xHD7dOhhEEMsyJmlCeEoURbTVu1KOUaqevVmuuLc+JQ8uDhE46O7iFDZ+QiRT8iYnbSU6Vb2rZhsVzx5vScq8XKNSOtZb6/x2g8olMd1hqU3rJcrlksljR1zWw6dTLV+ZzJZEKa5YCgrTvapiEIEmfo2BtyWUO53bAtt4xGI/7gD37EcrHg+bNviaOANIm8xFgQSEkcx2RpThTHvqbopafGjQhUFevVkuurS1ZLx4obY6jqmsVyRV03frY7YVgUjmhIvIur5ZZJ/geO7wSLR/v3/WSfK3KUUWhcFIZoFYoOqxu00SCU0xAL4QYwVYPqYgIhEGGABNpqzaI2u85VQODMC4QkLabIOMZqTaNqRBgQSulveEEaJwilnKQJSyCE23gDSbm48Xb3krbTdDYizlIEAmUMQrfoak1bNzQY5wYnA4TQKCTaKrQyji2y0gWFihBrYFueAwYRJcRRTBxI0iLmfjHgn362T7RpqVtDLASm1QQiZLNpeXl2w7I1fPDBQ3TVsNjCyXuP2TvaJ0hiZBDRtYrt2qH/LI4wUYCIAlbrLettycPHxyRlybPXK9b5Pk/ikIcfP2RgStbXG25Wa148e8NffPmCZRhxUuwzmR8xms1JfvMVjXWSCNUovv/ZJ/zg0484GA/JheRvv3zB5dWCg4NDjJB88MkJo1AQ5AX/5M/+hPcfPsRWHZM05dk3z6mqhvNVyTIakpiWOIuZDoao9YqXl1dsLMz2pgzSnFWbopIBgyAhCkKk0Wy3FZVR5GlMp1pqY0D6oiZJ0NKQRQlplDKOLGH1hlo1yGLMpu5I0iHjw3tI41z1tFZEIqDTiqreuhspiIiCCKM6NnWFRaG3S2xomM5G3D+ZcZhLzHaFKisWNzd0E40OEq5enaOzmO/96KcczfcZRQNiGaKtQrWdc1CtS5RWyCCiqS3rsqVsNct1yZYGiyEJQp48eUjcSZZX16yWN5RNjQ0ELZpHHz3hwwfvobYtYZYSpRGq6TBKUTUtq21FdHBAnhWEwjtbacvy/IxoUjCYzzi4f4+f/Nmfsf4XW2q9RgdQNTVhIkmLjDiKkeCcALVF2xa0pqtdplhd1ZRNiVXw6qu3PDt/iy0kIhWsl0uWdsvh/jHf/4P3OZwdMErHJNGAMEhBhzRl852Lyu/iIaQEa243I2t2hf47FQe8W031rFH/z3ow57v2/VxKX+T33XDTb6ja/JthuH7h7uc4+tB6w23ulZNz2h1QfAeoSIEI3Np5CxT9CzTmbiXm/icA4/vz0mX8WaORdIyKkINRSkiH7rrd+tvLKPufl7J/b4Y4jhiOnDy60+7V3c6OuPduAOXfRxCGRHGEDCxWK7TVgFOOeERKua24Way5XqyxVnD/wQNOTu6zqWp++atf8/Wz5xhrefzoPj//4z/ig/efEEYBq+WC1WrFxcUFdV3Te+0lccRsOuboaH8Xxh4GTsrYdpqmbdFGI2RA6MG+1oqu69AmIPFxUIEOEOa2UOoL47tMITiZngPYxqcpvju7eGsw0v/qZaiAN60Ru4YDtzK9/rLyMuIeZLrRZDc3prWl64wLkm5aBDCZTJhOJwzyzLtGu4rddftdE8Bos3OX3Ww2LBYLbq6vKb0df1EM2d+buXmgqqTcuHzDtu2YTqccHBwyn+85uVTkzRM8I951LXGSUhQjoigFGeyC4quqpG070vkeo9GY9z/4gJcvX9G+fkscx46lSVNXNIXOuXFXptreKMPNllZVxfJmwWJ5w2q1ZrvdUlYNZd1SVjUWmO3NefLeE46OD8hSJ8Ptu/WI9r/1GvK7csRJsgNh+LXI7mZxb1m8nl10l4a7vvoCXvhv7ACj75dIAYG8Ze2klLcSUP/8bj24XQus9uvYHcnq7ZJ4a3Tjvm88I+Qld1r5BpbaFf7upYlbxh7uzIbfBYueWZQuF3USKx4fHHI4TSlMA15G2xlL22rKskYbS5IkxLEkzVKSJGY4GhHHMQiBDAMCn7eXpTlhFFE3zvlfhrdmP8az3XEUkcYxSeyY8qauWV5f8+blG24uLkmiiIPDA/YP9zFCUqwrROhia5I45vjkHu99+DHj6YzrqwsM0rPtMVmaOaYzinj64Qc8ff99prM5WhuqcgNYl+W4WmG1cYq9MMS0apfNp60lQCKkc3zeBQ33e4c//33zqz9nAh8cJHzIhXWRejsH1CBERBE2DNEioM+dsvbuebq9bkSv3PB/D4QhDQyjVDJMA6RwJi5N01ButrRdi/AKg9l8zuHhIbP5PkJG9BfrXZDYNI03IdqyXK04Pbvg1eszrhdrqqphUKTcv3+PNE1cFEXbsF6v2GxLojBi7959ZtM5g0FBnMROFt+DOWuRMmA0GpMPChCgVHfr4qw18/mcx48fgzX8Z+UW1dTkaUqaJCRpRppmpGlOFCdESUwYOOimO9cAXC8X3Fxfsbi5ZrlYUG23LnkikDRNR1M706U8z5nvzZnOZs4ETAa7Ro3W362i+E6wKG0HymdKWYNWLdIqjLCIMEPK6LbukO4iCZDEQYgMYx+SWyOMJAgTtyGECZEMcKGFwt9AzrGu7WoiYVBdhdKalXIvXhm3AQirMKZBCk0UhxjtuhJX6xVZElAkMa2GRd0xynLCMCVIUrIwIs2GtK2hbTZYNHlWIKPE1XlaEiQBcZz5+RGF1pYwzkkCr38mQitD1VSYJOXe3ohRbDBpyDCLUKsrOtNSrxpenV9CEvGDzz4h2dzw1cUrtsoVd8JKBmlKgKFta6zu0G1L1zYYq7m5XLAtawbDnEkWcfnyJS9XUOcTuvUFw0PB8vkFl+fnfP7FN6ySnEefPXGL1sPHPHj0HofjH/P8i7/nN9++RCYZr5695nBvzmw4JNKWxfkZX/ziS2wR8/DkgLdn17TrNcsw5Pt/8jMenZwQNi3b5ZrFzQ1XixsGszlBmlKtFQeznLHUbK6uaVSLjkOyMCU0ku2moowGbDqNTCxSWlrdoYQhimLqtnPylF7xYDWqqxBhTBRECNUR0sF2g9EKGw+oGgle6y2jmCIMXeA8ggCBVJpGtdRCEAYhkZAEaExnqDrLqqrQtmVvGlHXDfX2hu1mBYXk8P4BUTSkmjVMT+Y8Or5HinPpta2fq1LWd4da2rLh8nTBpq54+eotX79+zbZrqHWLDCHJEqbzKVJZVKdRqmW5WTF5cMBHH9xnvndAHg5oQoHuXIfNdIqubdisN9gs5eThEwZJ4RgYbXxwscZ0mkZZ4iTmD/70Z3zz5ef85sWvaE3N/vEeB7MZRZQQ2L7L66zgdd3Rdc6qvqk6FlcLNtsNm3XNolszeTxhPJ3QXFb8+hffMDye8Ac//YT39o8osjnSJkRhCjZANZpO/f512/vsNWc0crdw6XGVd3i7xQXue3c3NvoB/P5BHdg0O5mLC6Z/N8Lit4Gi3YE7a3whpTV9iLi1CmGdaUs/5xN4WRdItHVrtVHuuXby0x682lt56k491JeF3nHVgUxDGluOZwNmwxBhOrTROxnlXT7CMVpOQmiw5IMB48nYfc0oz6xpVyDiYgw63dF27r2EUeiMSURHW7dgOuIAbCjAaIxW6K4Fo4mjgPFkxscff8i9+w9RWpOkqY/ZgJ/99Md88vGH5HnmLOq7jtVqRdu0rnkiDUkccbA35/Bgn9Fw6IorX+BaEaC1oukUQkiiwAVlBz46wCiNFY45kEHo2AklXdahdd3xfr6mv3aEddeJ9Kyt9LONLivxTgHuO+pOiie5NbKxuxmXWyanZ3NuDUruGktYbVDK0lqNsM76XQaC8WhIUQwohgMvtbU7Bs5YHGiwOHOftmWzXnNzfc1ytWS7KamqDqWd4dB8PmMwHDimsmnYrLcI4PDgkOOTE4bFyBfOrhg0vgGjO4MxgslkxqCYIGXk2VknaVuvN875NstJ04R79+5zfHzM5eUlaRJTFAPiONoVY7eySrEDHdoYttstF+cX3Nxcu2xfISmKIUGUsNlWxEnMbDblB9//lAcP7hEn/jFxuZMKizG/dX/+Hhx6x2b35/3Omge+/2PvUHLsWJ07Pa8dG9yzkwIP1LWhn5m+ZTD9mrYD9B6o9g2Tfk3pmyP+eXYsVf9gtpdt+4fVCqO72znJXdQCu/dHD1B6yTbuXjPCrZtGWoRQzGYZ9/cKskghWrfmG2Nomo7ttsZY4+V/AW3rmDchJEVReI+M3rhs9yFiraWqahefIASBhDSJsMLSaeXMmUIXzbNcLDl/+4bF5SV1WZHGIaPDPR49fsJ4OiUppgxnR2zLksW1c+g8OrnHaDInTlKqys2pDXLn3tx1muvFgsFoyP2Hj7j/8BFKKVaLBW1TIwNfH/i5+jAICMKItutHVpSjiqREhDEEEVjXTBISpL9edlmX8nYdksKZC7l4OYu0CrRBWIkJpHNNjkKMn/e2RnqG+dYAadeu2MlSb5tlsYBBCMPEqdA2y4qmrihLF483LAYUxZA0H1AMCgbDERZnthaGcpfN2rXOg6LcbneRGpuy4vp6weXVgs3WsXPFIOfk+IggkLSda55VVcVgULC3t890OidN812TpF/P3f0jmc33OTy+R54Pd/JV41UWYRQynkzYPzjgxz/9Cc+/fcbXX3xOHEcMBgOKYkCa5cRp6g28XHRg23U0VcnN9ZWfx7+m3JZ0beNVGwlhHGOpkIEkSWMOD/c5uXfMcFS4Bq1vyGqtaLvvbox9J1jcLm+4WV/R1BtCAVGSEocxV5evqdot09EeSV4QpQOyJCUQEJiWMBIk+QSNpakbuk4REpDkKQLpjHJM5QqaKHWbtOkIREC13VC1Fco4E44giNEiIooisjBkvd1QNVviThJFCUmW809+/AmvXr2kIuTxyTHf++gJsipBC8I05v/0n/5nLvDSdmhToUpF124ZFmPiOMVoRbXdgtDOrtdAGOdIVSFwDm6RMWzKLSsU/4P35/zpx0fYck1XKpTaIJZXLC6u+erFG/Y+POaH779PogwvX2344uszsvkhT54+ZW8y5s2rt4wHGXkaoduGOI64uW748jdfk+cDLs8v6cyEszcGJSTFMOdmeYWoU8pLuHj9lm9ev0Uc7fOnP/yE6PqGF1cL8szQ3bxkq4Z89NknfPZHPyEKAhcAr1qGWU4aRXRly7/8L/5r/if/6/8V/83/7T/H1g1//VfP+dGf/BEfv/8Us9lwtVqxrivSYkRxeMTx4THPvz4juTzH3Ky5iRtGk4JgI4m9DXCnOgbFFFtLWizC25THYcYo9s0FoSmSzBkmGIUEN1fj9isCq8lUTVeXiDhFZiMG+RgjQ9quAW2I4tj9jEhJ/SCwts7SWWBJggDTKfIk4EFuiEzOcJgTNw3V9pK2uSaaDznZ23eRL0XBdP+AJI7IZESAK2rqqkLpGt12tPWWzWrN5qbk159/zZWssMry9u1btk1FZy0Bws15Fjlt2XJzs6aLA04+eMLBwT65DLC1wiSKMIiha2lb55CmjaESgnsffszB7JDQRnSN08q35ZbFzRXMYtK8wFqYH+7z3uOnvHnxLW3cMd+bkUYxkZXYTqGF24CdC1hJU27Yrtds1zVnF9fUoUKEluPvHXJ0cExqMq7ENU8/eJ/kg4h7+8fkyYgkKRA6wig356VVQ7X+/WMWtbHgzZisHyy8Cxb7DVKYnj28LSL7ORv6bj2/RdpZTS+lsj1rCF7Oc8tI3X3EW/mo9cBfEMmAOIrI0pg8iRlkbr4q8dl5badYrjYsNlu2detUFo7Q2jGd9u7rtbdFWP8cwjf9QmHYK2LuzQfksQdt/TuzBudZ4ws/4+ZXlHGAIx+N3eYs+sLNAV2nNnexBFVd09Q1SRwSRxFxFNG2Lav1Ft2WCJsTy4GrE4wmDiXFICUbFBwc32P/8JBsMEAby+NHD0nihDgKefLkPZIkQRtLp7R3IHRrbJ5lCAvTyYgnjx8wn09J4sizd9J1WYUD3Fpr97rSjEHumogSPEPgGjGBlASEDqwbgbZ9XpjYMXXu3PY5Y65glRaENR5c9tdXLzP1RZIQeC9HwO7iDTyu9KNFvXSrj1d0j2e0oes0NWADSxQKBlnKaFRQDAriNPaMj7u+rMY/nzehMIbtZsvp6VvOz8/ougZjoGkUTeMcyqMoZG8+I0tTdOcKwUGeM5nO2N/fZzAYeDDXm+VYB5SFRCuNlBHj8R5ZWngw6SSMwgrKTcl4PCbPB4RhyGQy5f69B7x68YI8iZhO3HwlOIOInqW31vpMsZbtdsPl5SWr9RohYDQakeYDoiimU5ogCMgHGScnx7z33iMGg8x90ubOHJwvon7fjrbt2HHePWg0tywcgItgER4AyNsmRE8quR+mhwt9Y2yH4nzTqQeFu+faAYyehWe3zvWPvOuJSEESBqSJi0JI4ogoDJACtIGqadmWFVVVUdY1ndJI07uxutaVe4KeWfQzsXeaMwhXAhep5MnJlFkRYtUWpS1aWaqqYbMtMcaS5xlx4prWSrWUZeV+dlC4wHrrZflG73IVm6b1ebJb2rZhNBxw7/iQMJQ0jXPcdYHpG07fvGZxeUkSBQwGGWEYcu/xEw7vPSDNC6aHEe8Fzkmz3G4JgoDH7z1lNJmjuo7Vck213TIaFuR5zunpOeW2JM8LJpMZCDcfabRys9ixY61kGPq5UaegoJf1etYZGTqgGEZIK5EGv6ncbYm53wWuCSb9eXS/XFSQwfh7C6SXtQrhRjKskL7Zc3cf7K9FfOOgP5cQB5YsglAYyvWKm2pFXVVk+YDDw0P29ubetCUiCiOci7R7AONlm13T0NYV5WbN5fkFp6enKKVJ8mwH8pVyIwOT8YjJdIxSHXXtvl4Mx+zvHzAeT4nj1Jt0+WvaP5vSBiFDZvuHFMOJ/44GFMpoOu2y6ge5i5ibzfd58vQpb1++JI5T59haFISxm82WQeiAXeOizm6urjg/e8tqcUPbdoRBQDYe+/zFgjAKWS6WdEohhODxkyfs7e+7fMjAz2X7OlH//8iU/U6wGBczHu0fugwPGdJ1hqYpOX74CcNccvXmFW+uLmhWa7ruAmtbkAFZkhGq10hpGc8OGOUjOt2huopWK4Ry8y9tV5NkBUmcIZRG05B5LTgiQASpsyTWzpK9Kq/JohRjNIM0JAohH4QcTDN++r1/n6ZVbLdbDgcxT7/3FLNc8fVXz/mP/uyPqJqKv31xTo3Adi3b7Q2L5TnCGgwhSTFFBAVRECH97E+aZwySyA0si4i0OGAvVPz3/vhT9pszLk8vqHTLLEsoq5aXp6ckxyN+9KPvM9EBr77+lnXdcF1qwnlCuV4T7k356Y//kMXNFW9fv+Hm8opyuyYMQk6Ojnn+4jXrrmYgLdnxIfM45eWbkuevviXY5rx6c8Hr0wvSJyf87KMnjDrDm05z8Mkf8oOf/jGjNGFzfQNRSDHIiALpwjqtdypcrPjql5+z94NP+eC9J/y/zv9TDIrWGj75wQeEPu1t/uA+6dWSL756xtGTx2wvrlhuWghj8gxmWU5sFOfXC66v1wTTgqNRgZUJydF9TrqQtlVo4yySkSEycPbui9USbS0yDhnmBVaDMh0CiKUgNB21apGDgqoV6EQirCUJYlbllnK7IfQDYkk+JpQxSSAIBX7RsRgRkMcBV69fYuobpvsjBvshslrRxZLDkxNm4QCbJJgoJgkDQglCdWisd9FtaNuGtqmp65briwUvnp/zurph+t4+H0xPeP2Ll+junI6O1kjmh/sMw4R6scFGgunRIQd7+0xGE2hrQilRbYe1oJVx2U5dS910hJMp8/0T4jBz0rbQqf7PX32LHEZEgwHDYuRAdRhQjKbYJOIn//4f897xAwLTO3spwGCM2jmKtduWm6sbyrZBTiXvvf+Yg9EekQmcBLELyLOE8XzE0ZM9ZsNDiiBHyoSu9UYq1rlXttXvX/bYDkz5HenubGIvf7LWgLhTVNnfAnl+o7jFgL1k0H21B5B9N1bgjWx8h76XHwqB27hxsyxhEJAkAXkWMR0XTEcFo0HKIEtIInfdSiEoq5rL6xWXyyXLdcWmbKgaRdc5xzaz6957yWn/PnzrXgrH7wTSUqQh9/ZG7A1TAlNjjXKbfP9O/PswXmtrcRujQZAPBoRx7PPq+i4/u89RqY6mrlBdQ5HFzvE6CNw9dnVNU22RKLI4JE1CAinIs5g0zwmTAQdHh6R5DiJwbNlkSp4PiaKQLMvc3KYVdG3DarWkbWvSJCRLI6SwPHnykMePHzrwiGNanGQOWuUkr3XdEoQheZYShgFV2aK6Dmtcvq7clR79Zyn8PNYdR7nbhruHipYA4wpXcxugIugZalcgW6Sfv5b+SumvDX+tyTtgcef46M2ShPHFkMZIQRhHFHnCdDKiGBaEYbSbT+2vcSEFwn8GbdtyeX7J6ekp11dXdF3rIntsgDHQKcdEDLOY45MDsizFWsNwOCTLB4xGE+Ik2TUhemjgwu4duNtsS4IwZjgaE0aJZ6XdB2YslGXN3t4+URiDFMSJi9HY398nCizD4dC9D+HOncvxdPEDTdOwXi+5uVlQVRVZkjIcjUgHmQ/Qls7Rtm0YFBn7e3ukaeocGIXAWMc4aN3Rdm79/307gjDc3Yv0wMp6BQP4eBUvlRb4dUrsCuH+6FnDnv27hZH+b/b2OusbbHZHpN+yR1J65t2vdVEUkMUhgzxjPMwY5imDPCVNYsLASYTrpmWxqViuN6zWa5arDWXV0Cn9rirES2Gl7MHhLWhw2bYgreHR8YhP3zty0UB1QNta6qZlvSnRWjPIM9I0QkiJNoK21WxL54xfFIXfH7XLwlMdbVuzWa/YlqVrjDedm2sbjxiNRggMZbnl+nrBDZrNckG1XTMcFezNpm5GLU05vPeAwXjmsqplQBhECCHIh2OmkynD8RQRhKA1q/XSBbWnKVnuJKhZnvHg4UMGRUHXKqq6QSlFFDspY9u6qDGLm8tUPnvVIV/fRBLSxwS5lpT0Dqi318HtHujAInfA4m3zoP8HwpsLIW6bY/1//Zz23Sttx1f61yKxRFIQhwKrWrb1Ct1WDIsh9x88YDqfk6Qp/XylxTU08TmrSnW0TU25WbNc3HB1ecn56QVVXbJ/cMh4MuXFqzOUj6uQAubzKWkcuT3AWoajMZPpjPFoQhTF7LJrLW6ts24kr246oihmWIyRQeSBmRsdUV5RJoUgSR14C+OY/YNDBsWAPB8wnkzc+uTPv9aGpm4ot2sW11dcXV6wWS4RwHg0ZDgaMxwN3WhFFGKMIU5iLJYwijk8OCTNUic5lnK3hxutaZt/B2aRJEOZgM31mvXNpYuzQBHFCUWRIogIsjmqVcRBgy4v6NqaTVMiTA3GslhdutNtDWEUYEREPHQFvmkb0Fui8ZhAxHRdy3pboY0mSQuGoz2UtlS1GyjN8wFxEnAUTTkYZ6zalvl0StMY/v6v/opX5xfke3tcLxZcvn7Lzdlb/sXffk4pYw5HU5LhiEiDyIYMihnT0RHruiQfDinSEdJKFtsVOoiIkgH7kzGxMHRKo7SiU4YibYlUjQgiHj15xMWbF5jthqvlNYfvHXJ4fEQRDqjrkrJSXK0VN8rwk6cPefr0KYmU/M1f/zWm60iTmMEgJ0xCzi+u+MXff8FoNGQ2n3J8cszTkyNunl/w+uyGcvmWs5cxcdDx0T/5KR/s7dGdX7LaNjy/WPAnf/4psXQ3ZxoHvHn1nHo8JstysiQl9B38VMc8/9U33H/ykF/91d/ShvC9n/+QH3z8IT/49COGRUFCwPLNKX/3qy+YPDpBrVZ89fkzvrmsKKOMQBo2l5dYLPlkxLzqiIcFelVSJzGvN+eYaEgxGTkX0a6l0g1hmCIsbv4UF3YtjOV6syHNM9IsJmg2iHaDMgryEUk242axwqQRaZJQ5BkIUFXFzXrFVimypCTPcuIgRAhLSIjpWlaNYVSMmR0WHO9lDFgSKMn4wQnTwR5drQjigZdbRL5w1FilQEpCEbJYbLm+uebifMG3r07Rk5B/9I//EbO0gIuGeTFyVsVopsdjjg6nRJWiMbD36JD5bMYwy8ijEGTuZrK0oq1quqZzLmMtvHp5yfSzPZI4dYY3QmCDXk4IoTE8++rXPP3BH7sFWgji4YDDJw/44OlTRsmQEDCqRSvjXNZa7RicsuHVq1NWbDh5/5DpyGX+DPMZ1IZqu6VqWrCGyX7OLM+IZYLREt12znbez8sZpWhW1XcuG7+Lh8QHniM9qygcg4aTgxofbmuM2pnKcKcbf9eevS+G/Ddcp7zXVXmpUl+4BN4REP9tcC5xIdL/U7dRWwRtZ1isNpTlljc9G+CloUHgZg9a7Y1njJsFTEVIGt1Kv3YQR/TqL7t7nQEQhSFZEjAbRtw/HFLkAmEaLw0yOPMZ91qNEbsoEO1Djw3OZS0Mo9sitJeOGQca2raha2q3ViVuZsdtrK44Q7UIb3wTyIAotM4JNkpJhxOGwyFRnCIDB2CiOCVNA4SAIMB1z5VyG+rNNV1TE4eSPI2ZTsd879OPmc1mDjQZZ6jjZvQEq03NqzenXFzdOPBrLduyYrPeUFU1WmuCwG340jp5sLXBrgHQsxbgUxf6TjrGy7Es0rpMSWnErqjYqVcRmF6Kyq3E8lbt7FkRdn18/w2fO+ZEXS6jK0+ZjDJGhc8lDHq3UTyQNX6G1aJVx3q95e3bU24urzDGcLA3ddmDScJyuaXtntE0rliaTEYcHh4wKHIEzhQuSwfEceJBgtgVIxZfjLQt5+dXvHz5iqfvf0Ka5d5YynX7kTjAV9dEUbS7hwLPLh6dHINqSNLY2fsbszMd0z74fL12c4kWwXg0ZjQekWYDZBS6Ql9rtG6QUjiThyxzDBo+1sW/zvr/y92fPEuW5fl92OcMd/LZ3xgvxszIoTJr7q5GNxogmiAIkYBRlEgu9Jdpq5UWWmghyrSQiaIBksxkNIAACDS6u7KGHGN6s493PoMW51x/UTAqYSJoJlTfsqiIjHjP/bn7uef8fr/v1NQ0TUnfV/+z7zX/f79kGL5ykGi7A/o70BJt3+GMicYx7+mUAdx7Dr2/Q7sLTaWPE43B9RQ5OD4/NIhElHwwbkqiG3KepYzyhFGRMc5T0kRjrGW12YUIl74PRbaxdC4iycbGQtuDcg/ocMxQ1EnQIyulEDGqA4j5hoZR4nn59JQnJzNSscfZlL5RdCZQ6EejgvE4fxjqeSjLMECeLU5Isyz8HNbRRC1bU9e0bU3d1JhoiJJmKYvFnPGooK5Ktust1zfXwailSHj85ILz8zOyPKNpWqazBcuTU3Q2xrugcWxtg7XhjMizgjRrSVJPudtSVxVZlpHkYfg2nk54+vwFP/jsU5JE03UdfdsemvKqKnnz5g2r1SYawgQaeN+bMITxLgy/4uAqBhm9N+yMXISHaeBhQAZBauTwBOpC1JVaO/ScD8j0wECBw97GYZXEIZyUCBH3eDxKeIQLesNcJ5w8WnD+6BGz+QL13t7hnR14B3gCeta1Ddv1hpurK+7v7ijLCrzg8eMnPH3+Irhzq9BoSSFJUsWjR2dBr+gNaZYymy2YzRekSWQ4iDAIMdaAD3vSbren3Fc8evSMNEkQzh+out5G1kvTkCY6xvwE05+j42NOTs9YzKYslsvQhDqH7zvquma/WbNZ3bNe3dN1DWmaMpvPmM1DFEaWZdGgK4ARWuswMMsLdBqytn1sap0LwEhT15T7/fduG9+fs3j3jle3b5FJhs5GiHxCLgTjcRYOfwRFJplPc7ra04+ekhYznAg6ibapcF2A3xHg+ja8uUaRjzN67+lty932nlEyoijGdLVEZcHxsjcNOsmx3oc8LGcZjUYwm/L1yuGs5nqzR+kEnS5o85R9A5dfX6O8Y1s1sHzOPBtRO09VdYxGM6yX9K1D+ILRqKA3gvW2BhGcLiUOUW15s7mmyHOKYookCJe907x6e49NS06OFiS6YL29Qo0ynlyckyHY3V/RrGu++eYt/+y3d2wby7vXb/jB86eMFgs+//xzbu/u+erLL9lvt3jfMx6P+OM//iNu7lasNnd89vGHlO9u+ZdfvOb1VlDv9jTnMz765CkfLqa4dcl2V3N5v+HJn/wtEinYrTfoxZTxcsFZ3/Ev/sU/o5hPOD67YDlbsphO2K5KVp1hepbzr/+7f0o3yThaznj58iln0zGya2j7DqkEj85PMFXH2zeX/Pbb16zdFFtVXN5f01YrLh6fsrq8Zr3ZMREWOxohsoJFuqTtodqs0ECSZMxUhjVhcjXQOFabu0ADqCsq17OYH/Hh6Yy+qzBaIVXGzhvGp6dhd7GWuqvp2h4lExYnZ2B6OmPYNQ3jIkM0HWVT4YRkNk65mE+Ypg5tPa0xnDx7zqPHT8jUCJuKQHFWKdoLTB1MPJq6pGlaVpfX3N+vuLq/Y2dbnvzkOR9/9JyJHqGMYGdqpLPomO05ORnzJ3/6h8zMmK3uOT9/xFgmCAem69EuUFutt7iup2t71je33Nxs+OW3r3l5doTDR1pb+N3bnv3NNbu65MWPPz+EXSPg+MkZz+6fsRjNkDZMzWzbUe52bO/vqZqK3W7Pbr9ndFLw5Ok5L569IPcZiARpYgRf7+nKmrLaMzsumCQp9AYrJLbvsBZsZ+iajs1dzetXt99fjPweXsME1BMLKHHo8BBK4BON9wnBWGEwZAiF9mDMEcEUBnOcIUpjQBYHWGhAL4cJ63A4Dgo2vA9Di9DhYYyhET4awISGVcoHCpCIzzcgTTIiASCiO+GAYMr3ECn1MMWN5ikScXB8lnEqWtYgpCXBkaqhHQpoYuh3w4HfdT336w3bXXkwhfFKQE9sroeJvw2skq5Da0WRZ+Fw8wbbtSgpmMymLBfzWMi7qJ8JxYtSCp2k8T6QSOnja4xYn3c4b2makrvba9Z3d8EFWwqKTPPkyQWPnzwODpw+Gge5GNTeGa6u7/j29TvW2114D5oW7z3VvqJq24BCijA8ML3BoRFeosTvrh0R9Umhj3MoJBoXGsUh3eQB44gojsTLwUBCxIzVYa0Mc4iHQlu8V6APlK9EwCQPzf7RfMRsnJGmYc+wziMHy14RignTd3RNy2az4vr6hrpqmE7GLBbzA2rohKAsG/b7kn1VA4Kzs1OOj+ckqQ4NfRLcSUMQuSDCRVFv2lPu91xd3fCbX39JVbV8/vnPSHT6gC4JicBTlXu2u+0hW8x6j1KSYlRwtFzS1lukEFhjsc7Q9x1t01CXJeVuS9f1JGmIE5jNQ4EklMLHTLPednRdsL1PY1HpnA9n/6DdaRv2+y1NU2Ht91Ozfi8vGdaXH2imLqyvICNSaOewMu557+91ww733oBs+P13kO9hUHagTkfn5wHZE9E1VYVmMrghh2ZRKomxIZ5it9thogHJYQ+IjauIQ5mBxfEgGRiCNMLADGdCELyywfVRSmTgkYf9QymSNOSE7+uecQ7eetquwzvPeBR0s0ornDX0nWG3b7i5uaM3nvFsDlJjI2Jk+tCMtG2DMSboFGOkRpGljMZjnPdsd3tW6zWu71mcLHj65Jzz8xPy0YiyarC+Z3F0xngyB6GC34UQMWg9hNrX9Z40U5R7x7u3rzFtzWIxOzRspycn/PRnP+fxxSNs32G6BiHC/VSWFd98+x1fffUNZVkilcK6MAU0h/faH5og5+LZc2DgDPrT9/47SiekCPHrB7q8N2D7aOriUFoiBxqPGM4xf/js4kf63to6bINhWck4fMMyLhIeLeccnxwxGo9jYxUbUO+jazh4H0x7mqj3vL66YrPeYB3MFkecnp1xfHzEZDzifr1lvdkGBpeULOczXrx4RjHKg7NtHjLah/3jMBSN+vq2bbm+vOKrL7+mbTtOji9I0yyw6eLZPOQhWmtReYZU4uC+PZvO+PCjD5mNxxSjAghRHU1dc3d7y+ruJhjYeMdoVLBYHrE8OqYYjYKjrXch9sS6YNzTtmENKhUdacNn42zQPZb7kt12S9N8P2Pse5tFV4w5f/FDlAjT2q7vMe2eersmyYoY0NnjOkeRKo7mcxwJXipUOibPUoQgwNrW0poePPRNSWMbiiQl1QlpIsFGTrOq40EgEELRW0WWpYzSnA7IRzOwJkDyach1qts9yIwsGyFsh5cZXgim8ynOgTEu2P4mI1oTNjzbW5puh3cdfRtcLr3vcc6TZCMmSYYT0Nd71vdvsd6T5lNSnfJ/r6/4YFyzLOAnzy+oaXn07JzZdI4zjvp+y5vv3vHl2xter7eMT8/58Y9/QJ4l9H3Pu3evaOqe2WRClibUdcm+rrm9viNJNRfnJ9x894p2XdKolL6rGM1SfvHHP+bD2Zh+17C+33F1e8+/fr3iH/z958yLEZd374K9e9czXcz5u3/v73H57oq3b15x/faK06Nj7t7ecbXf8aOXv+Dbv/iaJ8/PGUuNtI5+v8W2HV1dc39/x35bc3O94ts319xWLW3XgLXokWYxf8rtt2/55rvXiGnB/KJgVIy52pTccoP1ktZ0tHWN0yFnUxhwwjHKRyhApxlZUTBeLPHR8r8QYOoKn+TIbEKmM7reUBlLqiSJVBTj4Hjadz06ScjyPEysnENkGbMiQwhBLhx929DiaRPB8cmCs/NTUjK6HiwatCJVodFqq5q6ayh3O3oTCpzXt1ekj8b84gef8+T8MSNR0O9bqvWW63e33LctIk8YjRI+eHFGYVqEynn8+JxCKVIZKGfOBbv4rm1QqaJcV1y+vebrr19z25eMT+eMx+l7xWHIDOvrhrpcM5rPED4hS4pDeOzF0wt26+fkXuLansZbbFNRlzus6IEeKwwnP3jE+cmSyWhKLkckIsV2FmM7TNvTlA1lWbHZ7PHLWAwbj5QO21nqsqHcldzerKk6x87+9UMW+6Z6YMsMB1SkRonolKmSlCQJk2ol1cN0HQ6h1OHgGKbxDKoZDkei5+ByGp7vwTnT+aD5Gw4570G42HwSzCOQEiGTQ5PwwPfz0fr6wbTCBRFNEPgQj2PvfqegcwdeGDEg2COxXEnD9QiuFponS8WjZc5ikh5QNR8zqnoTaEyr9YY3by9p6j40olKEggH38H4IcSjI8ZYkSciy8J72bYfAMxuPOD2acXy0pMgTbN/SDQer7zBdF4yvnEOq6KbI+7RhizM9dVmyvr+nruvBHpPJeMyzp4+Zz6ehcLRgg20oxnq2u4p3V3fsYsOb5SHLynmwkbYXtFxBh+qtxQkb9TAPBi3DJNvZ+H6KgUoaUifV8Pb79wjJQ2UlgwnOYNzi42cTBa4DvHj4NQwAlHDkWjAfJZzMNceTlOkovLdyKGgizXBwkjR9T1VX7Lc7Nut7nHWcnCyZz+fkeQ6IoO1xJhjO7fZYa5nMpnz44TNms+mhUVRJGp1U5cM94WygAm/WXF5e8/rVGy4vr5jNjphNF2itoyFJeH1SCLa7LX3fkRdFyEmModVpFqi0IaIoUKZ6E/bTuq7DEM46xpOQLTeZzcnyHCX1APFiCc7WVVnRNh1ZFl+jMdEBOOQ/7nZ7yrIKdP7hff9rdNm+PyA4UgqElggUqczQKmhq8dHJUsSmy/uD66yAA0o4zMRkvI/wAS0M2tehIRAHuhuEFf+w1z00C8Y5+tpGJCoOcuK++qDlDc76w2Dv8AA+IqPDPhrdbJ1zdBHpCj/Hg5GUUhqVJPSN4i87w3614vnUMBc7RtRMipTJqEDpwNqoasP1zR3XNyuuru5AKCaTedTeKZQiZrRmITtRC7I0NMFZmlBkGUmSUtcN69UKgePp43M++OAJJ8cLtFas11vevH2H95LsszT4MTg48NalDww9J7CuZb264fbmmjevXlFVe5RWoaHsLUfHJ5ydnSLwtG2N6XuUFBjjuLq65ssvv2a735NmKVKoSOn2h3Sl4QwxxoboLYKswLphQDpElsT32ro4JBMkSqFkYOtIIgvHxbMmos0Hlg0cGsHDNnfY9x72Rkn4NkWg849SzdF8xGIxJkuSiASGOnAgRgcGUEDPyrJkt1mz2ezw3nN6/ojZ8oj58ohRMcLbHtN33N7ecXV9h1KKTAg+ePGUZ0+fkucFSHGgcDrn4rA03gvW0tQVr1+94Ve/+jXv3l5xcnwaIjREMEAbartDXi4erZOD+7QAsizjyeMnpDrcb6brqaqS1f09tzdXNHWFUorlbM7R8QmT2Zw0K9Bagbf43uGjrrHc7aj2e9I0e9Bqdl3cQ1v2ZclutwvD2yT53n3je5vF7eUvSWS4OY2zqKRAasF0tmAyOcJEG2xnHcZ7WpHRtxXW9CSZQ/gxiU4DZUh7kgS8F6Tz0+CUpDS986hI9TKmpUij+yoOpTR922DNnkwnCNOhXYDRjevY7O5puoY0SxFW0naGRAqkDAvVEqZIk1GK0ilNWweYGHDGkiioTXTpMw1KKfJ8HCIz6m3YioQOjoNZQZIUWNvz1VXFJT1Z9ZaLkyMuzs84Xkyx5Z5yW3H9+pq//NXXvNnuEEpie8P9zT0TlTKfzsLiUT1V04AQZEkIE13MF9xdXVHVNb115MdLpsIwKjv+1s//hKeTEc2uZrcpub2+51//+jt+W1uuL2+ZqAxhDb/9yy+YHC04P5lzNJ8zn05ZfPoDvvvmO7745/+Kb9/cY5Tg9vqWVd3wNz/5kL7cYNqWu67Fxwl+h2B0fMKxzHh9veboYs7Pnj1md/mWu+0O76BNJePphGQxIRGStrPUKkcXc3KpSE3P5GgZjDAsyCwUQi5OBSVB6iuFYFyMSKVk3N9T9z1yfIQTKZlK0BpSl+FNoAfVvQn2wVJhvA0mk9GUQiuPEgrlwdIzP51xlEvOjlMujgtGaYGv6+D8NM5RKPqmpbeW/W5L05Ss1xvkqKDPFR/+wcd89NFz5vkUYQU0nu16x36z59W3l1yu7skmGeNpzkcfPmVUTJlOzkjQaAQi0pr6vsf1hv1uT7Wt+Pqrd2z6kibtefLyMc+ePmF2tEQNQbU+TGKds6RZxs36msfPX6KEisctpDplPpnjzI62qTCmwzQlu/2Gxhvyccrp6ZjHz5+T+xAlI3wo0LzxuN5Qlw3Vbsf93ZqdqzjOxiFovOsx3tCWDWXdsNtX3G62mELy7GfPvndT+X28tvd3hz//Tmi00ug0QaUp2imcS3DeoxMfaZJhQi9EyHobjEPEoTCC33X0G8yc4qF8GK36kEE4GAtE6qs3g0uhfa9wjU3GMFiI++fvGkzEA/qAhEbdpQ05id67WFgNU/mH4k56Q+V72l2DrSTKZEzSI8apQOlI83QhyLvrepqm5/5+zd1qQ1FMwqE6UGf8e9onERw9tZJkaUKe5aSJJkxOQyzHZJQzn04o8gwl3CFMvWt7vHTs91vyzX0o9tIM74M5gpIyRi2FAdHd/R2bbRD2D4XpeDLh5PSMNC0CkqUDIuk8GG+jxrMjH42Z5xlFloPwNHUFBKdPLQVKy1BAKh1Ma5wIOazO4lCxKffRvdbH/DKJUiJmmQ/viYdIdRrYeV48IIsHzDEW7UPYdcgme3g/lYQ8kSxGktOZZDnRjHOJVuERwszAHAYTxvT0XRtMErqWvu/I8px5ljEej4PmMFJ8ZZKgrKDrDWXVIKXg9GTJ86cXcXCSkaQhbmJY14O+t20b7u5uubm+Zr3a0LUdk8mUJ0+eMl8s37v7wmDEOkdVluRZxmg0ojcHNym01oynE/a7VdATdmF47axFa8V4PEbPZ4zGY/I8Q+ssNIqxKQpaWcO+LLm/X+G9ZzydhEZRSqzxh4Dt/W6P945EJ7i/hs3izZe/CtERUiJjtEKSpqR5QRqpn1oHQw0VM9gQMS/2gBgF+ujD3happoMxDsNWFL45eKIEk6vQcDiMCXQ9E1GswEAIe5eMMR3BNCSimP5hLx1+pvcjfEToTGIkgg26f/uQwWhtlA3E/QLCYzQILrcdq7stb+SGT5eez59MGOU5WZrghKAqW968veLm5o7NrqJtW7J8QjEqBqAVECityLIM5wzehTNkPAqvLU+DIVlbV1jTcXo85+WzxxwdBQ3j9dUdv/n1l3z36g2T6YyPP/0BaRaYdW3b0vdtbL4jAigcbVNz9e4Nl5dvMZ2JcoTAUphOJ4yKPETZWRN7NEVV1dzc3FBVFYv5jGI0wnuCZKXtoQ6mYO+bdAXdp+KwK8UhjpBhNwt6w9DUJ1qRaoXWMXPTO7zTeJuE/U+lQX4jwnApEOeDwc2w73Fo6t9rruIAXfkwGDuajVjOx+RpGoYRNkQFeSljhqIPEqG2pSxL9vsdpjdM5zOm0znT2YJ8PAmmMaanrQ1d1/Hu7Tu22y1aaUaF4pOPXjKfTwM1PsYMheU4IKth4HR/f8/rV6+4vLzCGsOzZ0/56ONPWSyP6HuD0mlE1sP94OIQREgZPAWsYZi4ZHmod9umomtbdtsN280Kax2z+YLZbMZ8EaI4dBL2a7wLzvqRbVFGh9e6aZHz4PIdfDJ6miaYLrVRpzidzsiL4nv3je9tFqvdNc60JJEKapwHb5hMj6nrCp2MyUcTsmJCoROUlIyLKR5H3/TYqmJfX2G8YTyas1wcIXUKOFzX03d7yrbE9hXNfo3TkvnRB6hE0TcViZowTWFnLDLJmU8XaJ3Sdj2JMSEvsd4Hfvhuj0cxKnIyPH1fsy/LYFkvJFk+QksZ0AEpUYnEFzPyySLQU9qGLhqQaC1JtKQ3itZYslQxGo+YTaek3oOULFWNKjMePXnM1GzotiVtVfL269f8k7/4DYun5/yNZxf8q3/9ijrPGRdjsrwgLXK0TjAWitGIer/FeU3b9DjbYZxlPC24eHqBqDvevLtjnLQ8O5ljd1u2t2uu7tZ8+d0lf/nqGo6O+PUXv6ZabXg8HbO/vuTVm295NR2znM4ZFzlZonFNR98avn1zBZMxX3/1hm+ur/nbyiOKnNl8TuaJlvyS87PHVOsNq2/eUTYdn/zsxzwZpXx3/w43KyjygqNMY0zLdV3R2wmT+Zzz+QfUnWbf1Izms+AkaMIidd4gfDCB6IwNNv6RqqeEoBAGudmA8uRHZzBZ0FhPYwxSaFKtUXmO0B0IEekpMMlydO8ohUTrDKkl3rQkymPbml5LZpMRhdbYusJUO3qpw5TfunBTllvWqzs2ux2tMCxGYx6fP2UxGTFOCmg8putoy5a2baiqitevLtm1LVmmODlfcPH4nOnsmHE6xdY11jiEs1S7HWVVY3vL/c09797ecFmv+eQXP+Dp2QWZSPEWkmKKVjpOoEIbUK3X9N6Qz8fMpguq/R7Rh/BhWkuiNdt9TdPuMabFtA29NIyWM47nC3SimaUzMCF3j8OAx+L6nm5fUpY169WOdtwzmRwhvaRrW0zv2K72rFdb9q7h5NMjTk/OmI+P/m31yO/dZZpBmyRAhYNRao2KVBkHWCvpug7VhiDwAUHjQAWM2WKHA+V9+uCAQr5vrx7++2HK+J7BjQx9JWrQhFgGfUcc1h8m+QdnugGVDFU7zjpQDnRsON2DzvEQlTD8LPFBB8vzVFqmacfpDI6WkjzXCBGppDH+wlp/mN7XTUPXGU5OxuSjnAdDoFBoDEW/kMTiPmcyGZEkCS7qN2ycfEvhA/3ZddRVSbkvKesO4wXbsmFb1gj9HVXT01uP0il5njMqcgSepqnZbTasV2v6PhhnBbpZTl6MUVIjVfh8rBUY21LWHdtdhReS+XIZmg+lgh17uT8EMcuISEidQVKQkOK9BOORDtQwPcYTjtcwVEiUIBXB7Vk6B84eJvLe+xjD8YAoCjFY4oTPeWgopZCHZlHGZjHTMM0Vi7FkWoT/lpEWG9DlAZn2YaLcdZi+CzqqJKHIc4QArWScmqtAP4u1onOw29eUZUWaaD548YTlcooY0CY5OBnaw6CjaSquLt/x9s1bmqajKEY8fhwodY+ffECaFlhH1NZEGpe1tG1DnuconeCFCDbxNiAFaZqR5znWGUx0dVRakUdL+STRh6k/Qh3WXHjsYAyxultxe3NHXuT0XWiaIeSe1XUosJxzIcsxS+n+LQ6Bv4/X/vY63IgyvL9CaXSSorOgT81GBcVoTF6ECAapFUpKnPcRpfaRjCAOg6YB2TtEZviHAdUwkHrfkdkNaJ8fsHUAcaDMH7JCD3pIDkO1f/MSB0rkw2O7uNe5w/M+RIP42OQoFVykZaRDp7XlLHW8eJJxcVYwzsOwYV/WvHlzyWazoxgV9Maz2Ybgex0zD6WO+6fUJGmKtT3WhGbA2aBzm08Dk8x2FamCxWRCkSmaMgS7/+bXX/Htd29DM9r0fPPll2FdNg339/c0TUOaJOgkQyUJk/GYqq548+o1t3f32JiVqLVmNpkwnUyCd4E1qAjLeUc0i6xDhl8xIslSnPNInZCkPR5BXbfIrseLhCQrSItxMJyMSbXDEGb4rIc8dCkgUZJEB4RR4DGmw5oWZ0xo8Ie4DETINEcgfEzA9YLB+ktG9HEYUHghEN6Qes9inHIyHzHJEgQOawNjwsmH4ZvpDXVdU5clTdOgtOb4ZMny+JhiNEGqYEzT911oqJ2lqirevb2kb8NZdHS04Nnzp6RJGgaUUjE4RrsYrbbfl7x99453b97QdR0nJyd89tlj5otjjk8ekaRFcEVVQDw7Xcyatb3FGYMxPSpJDuvb+zA4c1Fj2TQ1WmseXTxiPl+QjwqSwRxsYOwYg+ka6rqiqWr2+z3b7Q7rAuPCGhNcfMuSugnZn1mWM55MGU8mJP8uyKJOxrhkjB5NyfWYvreoRDOZzsjzEU3V0jYt3kiyPEwspVIgPFVZ41xL1+zJipTO7ri53TEZz3CkWCRdU9P3Dda24XCyntv719CVWNuQ5lOKYgQItE3om56qLtGpRHuHsh1HyzOSszHW2nCgd32gAwgYT3qQkqqu6G0Qiuh0RJrmCAXSWaRUpBK6tgKpcEg602NtxzifkumM3eYuIG9tjfCe02nCf/x3fkB7a5iJHtnVVNt7NpuSv/rtVzz9+Ut+9vSC9TfX/A9dz/h8St1UfPPNd5wcLXn+4kWgYnpHKuDd5RW3NyuchKOTI158+JijRPDbr6+5ut9wfpEgqy2XX3/Lu5s1r1YVq77nB589R4xmrN9dcvvt1/xGScpNw+1+R9sablZbVD7i2dkSbIcRKfeVYX93z9XtPY9fPkfqjM9+9CnH0ymiawMNtey4v1/z9u01X79+S9W2/MW//IJ/sblnu7olPz3mBx88QSWSIk/JnSXPR8jiGOM1SV6QITDeo6RmPB5hHaRJinU2WtObwy+JIBOCpNlimx1WaRKZsasams7SK0GeaUhSimyE7Bp6b5kVweZeKEVWJGjnkVqTKMUkE1yMLDPdcn465mRUkPY93W7DttqjT8/R1tA1PXW1wZia1WZNlwrOnp5zfnzGYrKEugFjML2jLUvqpkZIHxxElUAXGlUozi/mHC1m5CpHGBMyEW2ghW5XK24ub7m+3bLu95w8PeKn55/y5PEFi9EZZm/Y2w6dFoEC5OLhSzjkRnnO3eUbbi5fs9N3FKMps/kCLQXW9Vhn6KqSxrY4BbPzE07PL5joAm8NCRoXT9u+b+l7i+ssXdNQNx3bVc39eofOBW3bsPcCszeUdUATurTj7GLBxdk5k3yJ69J/e0Xye3apJD3Q+oQKE/fQFARjDJQ69HhBbG6Qyh1Q8sHsgTgFF/KBJip4zw4edaBU4cXBpS889MPUcng8paL5DTIgUQMQOfSbPtJUhyn+gcbjD7TSIfw91Hg+GvO4gZ350MwiD0hVph1HI8ujieV40jHKLFpYBlQTAhXTRcqPiSjQeDINtPDo+HZAIhiooh6tJJPxiOmkCPQhY2mbmrZtSKXF9C1NLXCmoyor6rqhbSxOKoTvae/XrPZ7Lq/v2dcdSgUqep6nwTdhCPh2Di2Du2KapnTRhCL01KH4rVvDalvy5vKWq7s1xjqKNAMhsc7RtR11WdE2TaC+SonUKTotENkYKXNSEc6NcKjI2PTxnsunRziLsD2+b7Gdx3pL54IBgRAhFkWoNPrVyBBWEFFGIQmF17A+RfiMQgC6YKRhmsEkFSQqPJ+LDdKAuvjYKPZRJyOVJNGB0aKiMRjOHib4IgSpgZcY67m9W9F3PacnS15+8IzxoGeMgycQkdpqqKqK65sbLt+9o+8Ny8WCs7NzJtM5Hsl0dhKQy7jXDU2zNS11WZFojVbRwTL89OEeVSqYiTQWY6OBU57HkPQ0hMEPTq8+olEAEVXcbbbcXF9zf3vPbDGjKitwJiKtIfczSRLmswWT6ZQkTdjutv+z7TH/vlyLx09jnvQwYYpDIxHuCdOboNUFur6PkQoy1qT+8Ct+Y/x9IIMPxe5ABf3d5i6sr9gESIlUMubEqoNrqXyPcvi+7nsw4fk3L/HenwZavY/f9GBAFr9fDFTIwZwnskcETPOaT5aKF2eacRb2ut2+4dWrt5RVxfmjU4qi4Nvv3mLf3QTmD4FWr5xDKoXWGk9K5gw9jrLcc3d7S5EHcz5ByIjumwY5zqnLkt36nuvrW5pyz3I6JktSdJKwWd1Rlzuubu64ubkPDZySCBVQ38lkHLJQywpjw/Pnecp0NEJMp4xHo/j2+aC5dJ6y2rNe3SMETCcTjPPsdyXGBVRuoH4P6KROEtJ8RJqP0WkRKLdSx70ovtduMDELf6cI2YoMpnjO0FsbcnqVPDBiBkqwiuYuYfOLIUBiyA6OzJm45oSDSSI5nmZM8yQ2oxbrTRwCKGR0Pa3rYEzW9z15kbNcHjGfLyhGRdhrfTCksaaL7JWWqqrZ7XZ47yiyhIvzU46OFvHsHtZ1MFoqq5q723uurm/Y7bakaconH3/Mk6dPGY1nSJWSZ3k4U1XIdkQEhL3ve5oqsMHAH2Qaw6jR2dAs2j4YD6ZpymQa3E6TNENpHe+jcN45YzBdS1PX1HVF23ZUkVKPEIzrBmdtNN6sA+NyMgnRHOMJSZr+j95b71/f2yxOTz+nN31A2qRCzQJnd3N3zVVzE8KQ8xmyrXC3VzjfoPSEYjpFCIXWKUlWoATopMCQ0Dh1mF7KpEe6kH+YIOi7BnwDvsfZlt2mQnDG8eMPmY/ndNbg2NK12xjw4BH1Pbqp0TpDpxlOJFhjqMoaIQTZbMJUp1EHEofwztDs9rRtiZKSrt3jXbATnk3DVDmVBW1n6UxPMTtinKVYazF9w9/+ZM7lX/wTPv/RS9itqVZ33N/d89WbKz76k8/4yQ9/Sv/ta355ueLtasdkuiLNfsBPfvRj0kSRqoTNasPtzS277ZrJeMKsSLnfbtnXmpNZweUvf82buy2m33CUTbj6zde8/eYtd73nB3/yR5zlnvXbt4jjl2ycIvWW/+t//V9zXQXLdNdbeg/Pns4gk9hOsi9bXt/s+Pv/6Z/x7V/8krOzJTe3V/z8px/TbtfYpqWtG7q64Zf//Z/zm+s1Fz/6nBcnj7jaC267BGdTMu24vbqjrTq8TpiPJabvkKogT0dIoSimM4wHLZNAB7A9u6ZhX5cU4wnjvIiuqIEygKlR+4Z9u0eOg9ZUmI4EwXS6ZD6ZgRXYvsc5QyJTtArTnkQJfNOTKB9pQx7btFy9e8vi82POpmN0V1LfX7O7vWGXJ4zMEcY0mGbL+u6e0rSMzo/48PEjJlnBqBiReEFrgpW6aQ2mD4XWdlXy6tUll7cr8iJndJTz+MkjppMFXQ9p4pBY6v0d+9WO3WrL27ev2ciex58/4QcvXrIcH6OFQpiAAO37jqcn50hC1hjO0253NNsV7958SXp2hCwKFiePWU4XpF5R3e+o6xYVp+njyYTZckmWZBTpmERnqEgBxsbpXtfQNz1N3WK6nr41fPXrb3hdXvPoaElbNrC3bO/2XO1u+fBnH/Lp4w+YZ3Ok15heYLu/ftSsfDI7uOcJORghyN9BxULIYvyjfHBtGxo1L8KcNExABe6AFEWUEEFwrBympx6PRB3ManykGj4gSwdESYoHqiJ+qH4e8tH8QNN6aP4G8Yk4fE18KS6EZnv3oCOK5PCIVhGaESlIEkGiOkTUDxHRgaAFNxjjsIYDnWU8GZMmmj46CVobMscGDWbXtnhnybKELEmReJq2ptrvaeoKnenDlLSP9G0pFZNJTj6Zkk+mOAT29TuuxRrXW7z1KCnoRDSHioXIUPwEjRS0bctqtT4gJtZZ7lZrvn31hrfvrqia7uD+2fU93hh2uy3b7Y6qCoet0Ak6zdHZGJFNSNMRSiUBoYnrZmhwgqYrGEN40+M6EWjzRuEilcxHKrB0oamXcfhwyCiMBbRSMb4g/ruSHhWbxizxZNqH6KDBuVeEtRZozjE6xUX6ekSLtNJIFRpaKXwYKEWamx9of0Jxt9ry5u0lSaJ59vSCo6NFyJLrgy4mIMyOpq7Z70u2mw3b3Y4kSXn06ILj4xNmsxlKJXS9O1DlnLV4EWM1nKHvGspyhx5ovt5HAEwc7oFEa7zWMScuDAmSJAk1xaGZOQzbDw1t01Tc3d1yexs0qVJpdtstbaODlkspsjzn6OiY+XxBEou83f6vnxvq6YsPYo8YKaR+sPOPlw+u4M4FypptWtxBn+bjHiMOQ6BhLzxsk4fGDoYqe1i3YQvzD/sYcS+NZjdaqcMgRBw2MuKgbJiUHX7M9/4Um8rhL+PXPqi1ic8ZnSsP3ysiNdaRKsHRJKNIAm2zrHvevr2haVsuHl9wcnJE31vE6ys8IubexQw/5wlxoQIlJE4qrIB6X3L97pKiyDhZLhHWcPnmDbdXN4y1oCs95XbNpMj48MXn5PmI1WZHWTckacbt/Zrbqxvu13t648LZEpuovg9GN31vYkMf3KOVDgZjUkWXZh98LO5XK169es393ZokLShGGZvdnrbrKMuarjf0xlDXoQ60HnQmSQY6slSgdNjrxMP556VH2DBoGOyFnA/1ue176qoMDDprUEmCTPIQ9yEUQieIJAyspAh7qIjDA7yIA02Ht4GNkUpYForlSJFIFxE6ExBKGYxznPOYLujWnTFMxmOWR6FRTNIUgcT1fYw0Cbq+rq2x1lBVZTDJ0posTzk7O2E0KiLLYoiYaNnvdtzd3rNarfHO8fzpMy4uLjg+OUEnSaDt70tAMZ0tglwl/s/0HVW5Y7/fIbwnz4rAdhkGgVojhMTGAUCW5hSjEaPJhDzPEVGHHc7h8B6Yvg0smKqkqWuapuX+fsX19S1KaxKdkCSStmtJ05z5fM58sYymOKH576393n3je5vF0fxRzNvp6foapxKmiwUnj57h+p7eBm2dIMFYh7U90nl22xW4jsa2eNfjTEe62yGlQ8sQzlvMlsxmx+jREljQeKiiq5lKC46KHNtXmL7l7dvXmPme08UxxfyIzi4x1tD1TVggWDoSbO8wXYdKc0Yn81B0OMN4PMeJkFEy0hJrOsb5mKat2Tc7tFS0xtBgkdazcAqdJLhMIozHdjt2uwqpBLnouf3mFadJg/QtfVNSbba8ef2axctzPvvBh8jdml1d893dluNnz/n7//n/Et+0/KP/9h/x6cvnPDm/YFJkjJ5esFvn/KP/5v/Bq3fvyGYTfjB/ydsvv+Ht5Zqb+w3t5prVqxW1NVwpz3/2X/4vGDcd7d2KV7Xl11/8ir/xZ3+HHz97xl/843+MzDyldey7mqPFkidnFySupZQVvbH8yR9/wOefPOWf/R/+j/zZf/IfsLl7x+3lWxoc3bbm5vKa11+95evra8TJER8vF3Sl5823b+lEwfPTjH/xj/9v3Dct1nkWxwtm45T5k2csTx9TNWC8A29RSYZ3HikFRVogRwmLxRHG9GGybB1929J3FXjDqFzRNS1qfs6bq2u+ut9SIzk6e8yTo1NeLE/RKCbjGV4GjrpwFtsbvPRIL4NZkesYzQsWz045fbQkw9Dd37N6+4ZNvUVOn5CPJ+QuZVWvGB3PuHh0yijJSYVGa0nqBM4YlPPYztBst9RNxd3tlu2m5csvX3PZ7pAZpGmwIk9J8ZXldn1LuV/TqfD6bsotx58/58UkZ3l2zMn0jEzmmLbDtWGD8klKkU9CxmfXsb284u7qFW8uv+Tow6dUXnP66AVHxRwtBM44uqqh70o29R3FyZKjxZxUpUEA7giOY/F1GBNy4uKei6kaym3JN19e8+r2ko3cUWw1m+0O1Vja3POTP/2YcTZiNl6SqxldFezU6/X3Wyz/Pl7FbB4OYTkYlAz5eA9FTST2HQqPw7iRoYgfHm1AGd83yhmoVA/peoNegfcOXt6P6RNDARabR+njc8gDwuiHTtPDkPX38ACxWRRB5D842A0mKj70q2Gf9ESHzuCa2XlP01s647CHQ2nI7wRjCAi1hb73lGUDQjIej6IGzOCFp4+RBl0bgoybNuR8pWmKMR21DQ3ZfrehLisyWcTGJhyCobnR5OMJs6MjJrMF1gvKuuX6ZkVdt0AInV8uF4yKHDx0vaFpu4Auan0Icb+5vglaNwT7cs/NzR23qxV126PTnCwPn7M1hq6p2e92VFVF1/YgII3Nokxy0DlKhxzGB76xPFDirPUHIxxv7IN+CgKyojRChdxFGYsnL9R7NuqheJDvr4+4vuLcHuWHGX0oknpjUf6B2Bd6wYgECYFWGp0opNSRQhqL7BifEFwQg/6yM477zZ6//OVvubpZMZnNePzkEeNxHrLk9gZfVgjA9IHC1fc9iVZcPHrEfLEI9CYdmAhBMxOGby5O2fE+6GhNx267oSr3HB0foZQ+0Anh4TUMmighFEmaRgfN0FiDj/edD9TViFh2TcXdzQ3v3l2yXm8py0DpqquGRI8ZjUaMRkOu2TIElUck7d8WVP37eIkkP9Dl5bC+4i/vQmFuTDCTssaAMPjeHRgTwc10aBDfH2bFffC9YRY8NHUH3CRSLd7XooXHGNY8B/3bsB8+GJ68/3i/0ybG53q4U7w/JDREhGugqbqoXwwRFFIlKGeRqSFVCb637KuS6+s7bG/58MUzjk9PsDiadk9VN3gEo/GULM2jGyrh/vaWtq6o9jt831BkGc+fPj04Bd/f3fP6u9fs1itGWjOfJMzmM549f8LR8TEemMxnOA9CavLimpv7Dat9HV2fg2fB6dkZP/vZT9iuV9zd3UHEdZMkoPK96dluN5TlAmMtb9685be//i2XV1dMxlM+ePkRWZ6RdT1pkrK1ezbrDWVZYUy4N3WahcZEyINhkBehgRNxqCjiwMtGyu+wF8lYA3ZdS13uqcugA1Y2Q1lCbqDSQfbkNQJQKjBpwmsM59AwnPR4hLfkyjPNJJl09J3BuC78vDIYz3nx4DSapUmMk5iG7F8loy7W0Pc9XROGU+V+F2KxrOfq8prNbgdCUBQFi+WCJA1SCUMYqlRVxX63o+86FouQt3hycspkOsV76Pue7XZHWTWx8QvvyRC9VZc71ve3tE3NfLZgNp+TZtnhffQEOnNWhGzRosjJsjzmxMYzRkSGkzPYvqOrK8rdhnK/o60rVqst33zzHW/eXTEZj0mThPE4pD8cHZ+wPDoizwukVDgfvAHaf5ecxczeoLzEJgmFTnF9hV/v2RtDlqRMpwtUXmC6jrLd0XQhA+bxckaW51gpcN6RSKJGw9J1wYnLypTOSspyHaxddUahNLqY4mSCbxpE35FpTT6est+uKbdrstGUYlzg6hKRZIxnS6b5FCkVTVmydx1pIhHe0vQdWarp97ckaYHwkrpu0GnIu/F2yqiZ0FkTtG5C0HYNfddyv68xTY1QDu8UnU0xfcvpESTtDdkowezW1HdXXN5cUjw95seffML5+Jyrt9/w6vWGdzvLVhhWd7f8/Eef8yd/9IfcXl/zm1/+kv16Hcwhyh1Hj075o//sP+WDR2fcfvctq/UdTz/9gOtX/4RX19fcj5f8+Mef8h989pKxdXRNz6ubHcc//gP+q4tndMZiuo5nH35A0fZ8c3VP4kbMTk5Yni757LNP+eTZM/4v/+f/Bp8nNHdr0rNHrC7f0ld3/MW//AuWxYT11Q11b9jZFjMZMZ9MeffdFWRnHD35mCSRqLdfIGRK1bfkeYpDkExmjCZHlNsd6eiESVqEqZZ3wSPQGrAW0+zZt03IzJEa42Num/KorsPXG1qtKCYz8tGET88+RBOoJEIJrlc35FlGqoKNtbUh/cdbi1EJSZaSZAljJ8hMzfmjCcskobu6ZH/9jqqvkZMx0go2l3d8+e6WPvV88uMfcH70CNEZEiXxpse0LaapaZuSzpiQ3OElfSv4H/7pr/lXb76lM5ZilPDk6TkfPHtKqlOa/ZbV/h6nHF3XI4uUD3/yEaMsx1jPLJsiDVjX0tUhq2mz33P06eckUtNvK1Zv37HZ3tH0NeOjJbdvXlN88BGJ1MMsFomgrWuM8ExPlywWUxKRkCUK5QMdzLQdROtz1/e0VYhFsa3j/q7i6uqWdzfX7Kotfd7RlHvu92seP3vEy6cXnM6OkS5FGRVcZauQDdnWf/2m7SpND8WHjxDdQKEMNvMMPM6HK36Djygg7xVd7wvhB2pVqHSG6IzwAGEqL3/nYfEioH5iMIbxUXY2mNrwO03twCZ70Loe/hqGH1m8N3mPDefv4Jt+oA2FBzPO0ooW0wuEcyDD/u2jZjKsQY+Xmq6rqeqGLM+ZzOYQMx8DGmExXUsVzQWEUkyKnNGoIE2yoBuLQ8K+74E8NE7IqGsKk9YkzUjzETo6Kc/mM46O5lRNgzGO46MFH3z4AcvFAmsM6/WW+/sVbdchlSZJNFmWUdU1TddRNS3bfXC9bNoOlWiKLCHPE6QAY3vatqGpK9q2wdoelaTIJEMmOV6Ee9E4C+ZB/zkgNg/mB4GKhTWIqOkTBDt9nyRhWi8UUiegkgMiGlQTD26UQ3A5RJMcHwxyvHQY4bGpwETTkN47BnzTqSFWI+gRtZIPzdWwJghQsRDgTE9VVZT7mteXd3zx22/58us3tG3HYj5hMi5QErquo40mM1onMUw9CdSm6YTxdEqaJoebxMY8PGMt6RA5E+lrxphQQ+z3OGsYj8fRbVAcvt97sCaYM2mdBPQkIh4ywoghlik8thLBnXC/23J7e8Pb16+5ubpmu9nStob5fMZ4POH4+JhRRJrVwdAlDlkQrO5X/79uJf/eX6ZrGXIIA4o9DCWGRi00bmmegU8poiHN8DkAh71vMLMZkKYB/BsQ3kBPfJ++GrL3HhrFh39zLrIbDkZQQ4PJ7+y77+9vQrz3NQf08r2GEWLDEXJkXXwNUgwRo2FYIbAkWiCdDe66uz1SwOPHjzg5P0ZISV023N6tub65Q0gVsutGBVkaGE69Mex2Gy7fvKHab7k4O+b5s6fMplMcnq5t+Ga7Y1/WNE2gPS+PHvHs+QXLSHXc7yus8xTjKVkxIh3N6NF48QXXt/d4B5PplL/zZ3/GL37xC371q1/y7ddf4b2jaWpsb+Le1XJ3d8eoKFiv1nzx698GLV7fk2ZxGELQAY9HBff3ISaoabrQKGodmugkBSnDXm6D87OQcSgzmHD5wX1bRHaEj4ZGDmf6MHDAhwQDpYMZS2QvHLT0cT9ARLOjmCvZ9aGx886RCs90JMhkEmLUqgbbN3jvSJIUfHpAybIsJy9G5KMRaZoilY6a7UA775qWcrdlfX9P04Q4oNV6yxdf/Ca4wntBXhSMRqPDerI2DMR22x3GOGbzOfPFIsrygtGRMYaqLCl3O7yQZFmGFDLIr6KJTVNXVGVJmiRhDRWB3ntw9RYSnSbk+YiiyCiyNHgkBOFpOFucxxlD17U05Y7dZs1+uz7oM9++u+bbV29Zrbd4L7HOM51OOTs/Y3F0FDSYUWph+hBr0tT/DtEZN/fvkF7ipY60oC1pkqB0gdY5u9YxGocAZicTtAKkZWcMddOECadwiCwcTkU+RquG1vTkaXCidElOvwiblY0Fenn7Fmf26CwLjphpitQaIxOMMfiuDTe7sZhyT9katJKoiCQ21RbjoG5bitkUFW/kxFm26xtaa9lNlihFsM9OxiFbp6+o+walMpJ8hhMS2+yRQpElHmkVE8qwqegxfdNQbjeMzpd8+MlLJiJlf3XD7fUtb6+2vNt0PP/5J7x4/pS3r9/Q7Evm4zGfffYJ1b7iv/1H/y/+h3/5r3j04TP+9j/8T5B1h3Hw7JNP2HzzLTerFWqc89M//UN+8vwctd1xv9pzvyqpxxOenJ2wefuONilg0vLxz35C+8svORcp+7ri0QdP+M//V/+AJ/Mp17/5jsuvv+OTv/kz3L5mMptQVTXNrmJ65siOplzMRmzfXnH/1T35dEyOoNxs2SvFyjUcTVLa3YbZckleVcwWU45PpmSJpmwM1c0NjdwxH89QOmE8GA9kKUol0HcR2VCkSpE4qLsW42EkBeV+jR7PcF6SoOh7R9VH/ehszihJSYTCG8N6s2LbtAjpydIUleTY3QqVpMzyjDxzlJsVdVLSXn7HvtnhRjmzs2PyYsGu9kxOF0xOF5wenZCK0MBie0xVUjcNTVlincF7R7mtuLnacH+z5fb+jrJrsbbnbDbjeDFCIanLjqQ19H3LflNBkXJyfsTR7AhpwyQ3kxKcp+9toEpUJTWC5fE5ND27+zW1aTBaIkVKdfcGMcqZzhZEC63gvS+Do5bMEubzMcp4ZBJlRjE915oOXJjA1WXFfl/StR3X397y21dv6JXl9uaa290Gax0n2YLnnz3ho7MnFGqKTiakPqOpO3zcTKqypTLmezeV38fLxAPtfZqTE7GlilXQgBIORftQ7BwiNuQwpQ9anMHJ7dB0itgsDkXK+0XOoB0aCit8pLIG2qp3HicfXEVxMsg74PAzv69ZfK/zjYd6zLES8YUdjCgeEMXD/wviIdLhXcgQVCIMfoKWKPzcTku8FbRtR9d2zOZzlssFOk3pTYyyOSAWFik8s+mEk5MTJpMJAkFd1XRNw+o+R0nP0fExi6NjlBjy3UTQj8ZohgGZG48Lzs9P6YylaTtOz055dH7OcrGgaRr63rDZbhF91EMpDUrSW4vrO+qmpW1bjLUopZhOxhwtZ2RFjofQxMY8SGP64IA7GNuoFB9dVLGOzlqMeyg+hw9hQEjAI50dviD+m0TpBKnDvuOlHjxSf6e4HpCYgSEUyAIq6AtxeO1D3FAmMcZjcEgfbSOECPQmKaNzaRJdLCPyzYBRhiLa9ob1es3tzS23d2u++M13/Oq339EYQZYlUUuosMaF4HYTHMsn40k0mUlI05Q0zdCJOvzAgQpq8NaipCZJYr7iAI9GGh/OM8oLpuNpzGsLdFxvA0XXWYcSImby6UOO37COB/RcEJr99WrF9dUl9/f3lPsqOgC2JGnK+fkZF48vmM/naKUDg0rKMLiJrozeOVa39/8TdpN/vy/T9++tr4fMwoBwB4O7QGMMhh5SC5K4/w3X+2MpybA3PjSN4eOIAwEX14t1D2HvfmBqxL3EByaMIwxehAOibPZ3nk88bG1A3LKHaI33LgFKPLA2hnUe+ht5oNRb7zG9RRsTG0VD4iokjvPTI+bLWdC19j3lZse3X33H/d2GxfEZ09mcLC8CouU9uJDjt1mvsX1HkmbMZnOm0wnOe6qop1NScLSc8fzFE55/+JzZdExvHXe3K+7u7plOZ4wmy4AsjnI++eRT8mLCX/7lL7lbrXn58Sf89Oc/Z7Y8ou0MbdtT5Gn4zIRA+4DMjcYT0jSjrBo2mx1dHzw6sqxAKk3T9bRtF9H7MCxQKtBAD+64xRipM3wc3vk4NJDvDQ1DoxeZLXi8CNEWzlpsP7A7EpIkRecjUAlORKMc5IEW7LzDmXCf930fMwIDwu29p9ACm6QoB5iQuW37Gq0UaRIaxTTNSJKENMtJ0hSlE4SIw8vBcdcYbN/S1iXlfhc08b3l62/e8N2rS6q6DVmKRcGoyGMEUEffh4GWtZbxZMJ0GjxVtE7CsMr0dF1H17VIKZhM50zGEzyBsQHh/QvxTxatkmC4Fv0ShnUuBSFuJc9jv6WjpnN4r0OeY9fUVPsd++2a3WZNud8HJk/bsdnu2WxKrHXM53OePnvG44tzxtPodn0YNEdNqekpq/J7943vbRZPTz6lb0r25Ybe1aT5iGJ8RDo6ItUjuqqkrhuE3zEEPWudIaTCmGCdLZMgWk2UopEKGOFTkEkeXrANYaGpEmgFRZaRnjyi7dsQyGotremCa9tkCi5ML5QuMPHQ14VipicIDEkWMm2skYxmS6q2xwqBaWrq3uL0lDz11M0uHPw6IdeOXCmMT0h0CDaWWuDSOd14DDE+Y+wb5vUtTdmzyjrOckG2GHP6/ClH2ZT69p71vuZ6W3G572gALTyub3jx/AnKSV5/9wrnOqqq5vMffspnP/4MIyztbkO1q3DAdrXjbleTHk35+3/8cz6/OEM3hu22YbWu+OLrV4xefMDVN29Yd3B8OmLbGs6fPedi1zBtev7ql3/FJx+/5Hwyxa633H77Ci0UCnj11Xf87G/9AX/4Bz/kz//pf88f/uHPSLY7rl+94/L1JX2iWEwmtGXN9PyYHE3mNIkSvL274fjRCa9v3nF0coQ0LTaFdDJlPnvE2GfRNj5Mn53t6JqgNdxvNpS2Y7o8xgkZKKjOkeqEprylcw1ZPkMkOUky4SgZhQPGB9pSa4Kz4ShNWM6mCC24ubmm3nVMl2d4DzvTUeSCcZFyuhxj71+x3a+wuWJcJExyHQTtec5yOub0aEGORBqD6Tts19KZHi88xnahuOwsd9drfv31Gzocm3ZH1zUI6Um1p99uWK+3TMcN/a6htRY5zjh9fMHp8pgEjUiIQq/IMa97qqqmto6z5x+xHC3otyVWOJLJiJkcg7X01Rplt8EGniFXLlzpKGeWTikSj3VBV2ZNQAlMH+hvfVlTtTV13bG+W7Na77i8W+FmksV0zO7qnrJtOf3giJ/+4nNePv2IEQW29ygUtvc4C13T0tQNpum5v/rrV0D1dc0DDMdDAYUIOjQhkEq8R9+S7xVXD9mLSr1HLT3oGv0D5S42i+5ACx2aAw6o0/vkqofL/06B9NDYioiCcPgeDwMDNaKK7335e4/0gHBymMiHZjfwt5KY3Zdph9Yhf00SCi6FQkoLRlBVNdZa5rM5s9kUnehokvBAuQ3gVTCIGY9HjCdjBJI0zTB9T1OVONvx+OKco5Mj+qakLPc4OrRK0ToNdJmuwwtBkqScnZ2idELb9hwdHzOfTcmyNJgVdF2kRVpSKdFePxy0keLqnQsGMaOC89NlCLRG0vY9tutwURMEwTVSJhkyzUGneEIBMkRHWRfcYQdkK9SkEUHBI71F2R5nwq+AigxU1AQnVEB9vT98vA8I5fD3PoCUkaUjcCjnMYnEE5z0hpgQT9Dfaq1JEkWiVXRcDQX9kA02OOk617PebLm6uqaum8Pr6Y3DOYk10UXZhYgJJGRZwWQ6ZzwOrrY66pmkVAzOmN7agC6bHu8FOk1Io4HQwVUzDhS01ozHY4oiD++hHO6ZYAAhBeg0RWsZXVRjIzos5pj51jQNm9WK25sbmqaOkVh5bNAVj84f8dFHH3FyckKaZghBoLLFrN94V9J2Pe/eXf9P2E3+Pb9kkE34gwYxvHchzk/grMRKi1YCFwcESoeBv4ymTQckMSJUDwZMA9ooDmvXORdkShFdsXEduYiQDMO2IRICHhge3vNeI+gPLI8HBD/+HtHDQ9EtRNC7qiHSY9COCxASFTtR5QVaGrAtfdOyvt+T5S0ns5zJKEVgsJ2jrjou31zy7t01XWfIR6PQKOoUrZNg1CcCY2A8HoPPUCo4bfZ9CKPv2wYt4cnFGWcnCz784CnjyZi2t1xd3/Llb7/GGMPHH00wxuGbDqFhvjxiMlvS9Qb7q9/w5NkzlscneC/YbDaYvieZTej6LqCmSlPkOeNxMLDZbIMbe2css9mUo6NjEq3ZrTdsd2VgaMmQZ25sGJqkWRbd+0cBtFEqJsmGxtBiETzkWg4DaiGCuY0QDte3AcV2NrA7spw0K3CRtushOPIOpmAQ7mcXfSIiKulcYGd4L9DCkyoQ3mJMh7cWHamao8k46MmThEQnCKUZDMGGdWitiQH3FXVV0zYNXdex29dcXl2z21fh8y0KJpMRQsBut0XuBZ0J2ubJdMp0Mo2fvwYExoa1HVyzPVmWMZlMYk5voKACkeIf5Ag60+RFgZT6vfUd9jClFGmaofTABBlij4IhT1OX7Ddryv2Opqqo63AG60RTxH1fSDg7PeVHP/4hLz96GXLvo4FaeLzB7E1gjWW12nzvtvG9zWJnDG1vsB6SZIz3lrrc0dZbinyK6Tr2+y3GNGidkOZTsiRD65SsmCCSJFAQO0svG5AJOknJkzSYGyQJRZbgbIBB27pDCkExOyLzwRFLYzHO0JiONMtxvSXYdPchXByBEoANqJW1Hmd6sjy4SgmVoDyU3tHahr5v6PoeISBD0XWWrr2nVgKFpGkrBC1FnqJkhk4y0nQcptm0TFzJ5dW3vPjkP0Qme46OHjPROfv7FZv1PdvG8c23l9zsG4os4fGjM6bjKfvtnrubWyZ5sLw1xrPd71jfr5nNR7z+7ZfBlr0omGUL8jzjo0+e8vLRMaLr2W72vH19w81qw69eXTMTBWmxpJYTlirh+vUrlkdzPvzsY/p9Sbnf8PLpU5r7e/bv3vDN119TzCdo57jbbOlWOZfffYVtG7795W+p37zj23fX1EXOycUxeM9nv/gxTx8946/+6g1vXt0hJgkvfvgh1avXTMY5zptQHGYTjBzRG48QPZ3pAIXOi1BI4zG2pphNmRYajaRtWiyWHovyDlvfk+YJMkmQxYzEKpr9BodAZzlZmuOVI89SvHcYJPloxtPnE1pbB6qoFWQ6CYjldoM4E5iYOXh2ccHJfE6aFvRyxLw4YjKdkgPKBY1G29TB4CduQtu7PfdVibOe+80OphmZiUYdTYvUgnK7Y1+POBOOdl+zWe8YP57z/MkjluMZuUjo6wahFd552i7QJrqupTMGozSPLp7idhXVekeHQU7GzI9OcJsd78qaVpoQmtv1mMQG50QbaDOZl2B6FOBNuFe8dfS2B2vZbSvKbk+zb3n77pZ1tyc9L/j4gw8Z2xx/abntK17+wVN++PJTFvkxold0rsP1kr4LDorGGayz9F3P1Xe3/5Zq5PfvMoM26Xc6LA4d1sHhVA76HHnQWOhE44wOE2YVIjdCkTIgjOphKu8F3sv38hTfyzr0v/szCSQyUn3kYBZ3eJh/Q5/4XlP2PrJ1eA3v0VCHgniYuh80Qz5o3AISKBingmkuyBOHFm5wi8DHw89Gg5vNeoM1lsViQZ4XHDIEB0pu/Nm6tmN9d0eWJJi+I03yeD46ijxHq4wizzG9Zbvds1lv6bqWERKd9biqQSgTKDpFwdFizmQyCQ1hmpGlaTCGaoIBQV3XeASyVxFRA7o+0InqFmN68rzg/OSYx+dn5FmIZfLORalUbGYGXVNaINPgpOejE+KQ6WaiUZXzNlayQyMUymbhDNJ22L7Fdt1hep9E3c6hSD6st9jw+YeSmAPdK9IHvA2acEBLT6KCaa+WMtBu0yTa+4e1KoN3e1wKD+Y6tu/ZbXfc3tzRHXQ4irLq+fbtNXfrCucDG8K6UFgWo4L5cslkMou6HBFeR9Q0EZ1yw7S9oe86lErJimksZAQPL3gwXLLoNEGnCSY6lQ+mEiEfOWRWHm5N/xCJENgaHfvdnvV6Tbnf4mwojtMsZ7/f8+bymuVizseffMSTp0/I8pDFGEZCJrJIHiIf9vs9r169/v++afyeXgdmBD5qvPyhgAVP4I2EdSVVdKuMe51Sg2tp+Dupgms0OiCRkmAgc6CExkYwUaCcPSCMboi1cNHwS8T9ThA0Xoet7d8cmvEwSBnujWGQwhC9wCHiQ3p/0GWGbiT8rqQ4oNeBUmkRzpAIz3SUMZ3kaAWua6lay2q15+72nrZpEUKSZwVZlqNVMJMJww2J0prReIwzHWVZ8ubNWxbzGVpJuqYiUZ6PPnjCcj4hSzV13XB5ecMXX/yW+9Waly9fMpsvaZqW27eXIBU//NFPGU+nLJZLxpMpo9EYayxtU3F9dRM8CXrLdhsYUUopZjPLu3dXbLY7fvOb37Je7zg9O+Plxx/x7MUHSCHob1d0nUEnaaRtFiE1AIHSCTrNSLICnWZYnYb32zm8HZxu7QE59vGcUnL46IP8oG/rYGyjskBXT9PIjAj7mJDikGs8iCKEdCgV9jC8wOkgKxsrzySVFAo0Di9BZSmT2ZTpfE5WjA/DKvEeqvywRwdpQbndst1u2e9LPIJiNKbpHFXd0HQdzguSJCHPc9q25f7ujjRNGU+nQQM5nZImaXwe8YCam4BAm75HJ2mUEITaEhEcUcPQOezDOk3I8uwwgBkGYyFnVKCTaNrlgnu2tcHBvqkG2ukWY7pAu81zxuMRWcycvFttWcyn/OCzj/ns80+ZzaaRleN4/6wZsh6bpuXdu3ffu298b7MolESnis56rOkRWBSCJMlDzhGWJM+RcoZWOUU+JVXQlFvq62+w9Ejp2aNQyZjJ+Cha5yq8s6RFQZpnjLIROimQKgunHYK+rmnaYJCjdEaa5CTGUPcNWmtUqkiEwnQtrm2oqQKVRagw82gMk+kkBAYjyEcT8nyM7RuarqLpDZ2TKBfoXjpNcRHGVvQoGZqC1nTsm1DYS7VhVt9j8oSf/+IPsDffUCiLq0q2tyt2VcM3392xbhr6rkbqlLqqWN3dsVwccfH4EfWuYrXd0fY94JhMCqrNjl//1a9YnhyjspQPnz/j6uvvGB1rfLmnMo6337ziy1+/4svbFfss52/90S94efGUX31bcrP2VGXL1d2Ki+UM6zt++oufMck067trKmeppCKdjHj+7II/9543by65efVbxjrl8vV31B0wLnh8uuDx8yf85Mc/4fnZBe16z695Qy8EZ4/m/HAy5f/0j/+fjM6OOT1aklhDpxJUPsIrgfQ+FIxSgfXs7lb85rvfsulLTo9OkcZxt75nvpgynkzRSpJrsPt7dKIQQrOvGrzWpGmB1yq4/jmHkSClxvV9sCXWCThL7nIa0SKLEK6K6MgmGaLbY1PB42cfsVguyEgQOiMrQvRLJgW2bvHS400TwkzbDmN7tjcr1mXNuixpTIdYJPzg0WP612v+3+uatu9IhcQpOHp8ytnRkrbumDw55uXL5xReo70ikRIvFV3X462lqZpgLCKh3NS8KxsePb1m30NZNohxxpPzE8ajMTffvkEXGeMsY5SND0iHExJTVZh+i8TgvQnFWdSuGhPiNJpNw9tX76hsTe8d4+dzXj7+mHGakwlNc92QyIyLZ0/59KMPmaZTMBFVM4LWGdq6wWNQWlKkI1abPf/8z3/1vZvK7+OV5Hmkd7jDpn2YvDsbC5KoP/OxayJ0eiIijAdHOqVQSRLDrkPxmwx0Ehl+DdO9B9c/ETlSMNBBB4regfoqfQQJI/IoHuilv4MqvoczCiFQh2YjPrz3wIMxzvCMwfI8utV7WIw0y7Gg0BZvDcZF50DjaBpD0/S0nWS72eE8TGczdKJCARjfJylCga+1whrD5f0915dXTCYT8mJEonRw1DQdk1GGjE30anXLbrNGKEU+nqPSjCRqT9I0ZVwUFEUBCNo+RDcorTHGUpYhm9HZMNEW3uNtj+3AOE/TdHTGMJtOefbsCc+fPWU6G+OsZbMrkXV7yM0UUoUBls6RaQE6wwt10FhZ6w9hxwExifmSAIPm1Mdm0XWYtqVv27BGYiyLkNEBeUAVxfAZ+kOT770PxW3M6SL4uKClZ5QKJqmgSCHXmlRL8iwhz1PSaKwRjBHUe5l0IUi6rmvK3Zb9do2xPYvFjPlyjhCa021FkiV0xhzcEEejMcujY+aLOePJBJ0kB83R4NLIEIVhLXVdsttu6fuWPB+Tj6ZhzYrINfQeH1GCpq0QwsciMeaBYmNOW7CYHxxPrQ86Oh9Ry66qWa9XbLdb8AQK2WQcNENSIZRkNpsymU558cEzZtMJLt4tPt4nUkr6LgySpUy4vLzh22+/+59ph/n36HK/22T7iMh6G/J7nXd4E3Is/QGxDetGSol+zylaJQlKpyRakWSB/qfTlERrVJIcDGsO6GHUb3snH4ZkB/Q8LPcDQfFAbf0fexGR+kqIwzjshMOg74B8PpBQ36evhs88Og5jSRU8mo/58DTnJO9JVCj+9/uG6/s9231D25ng0i4l+WhEXgQKqlIS64I5j040SZpQ9w3X1/d88+WXZFqxmE9ZTEfMRgnTSUGaSKr9npvbO377m295d3nDbD7jydMnHJ+fs91tefv2HVXd8PzFSyazOWdnj/jZz3KePHuOkordbkdV7ZlNxiCD7KpuGrIsZ7vdc3O74t27S+q65dMffMbf/Y/+I54/e0qSpmy3WzbbEoFCpRlKZ+yrEKXVO4+PUT4qzRA6DSidi1o5b+ljzqmzw2cXEFtBiBR70AcacC7qzkMkiEOA9RjnAsoth6zhSJ0nDNbTFBIdjG2U65koG8xtFGEAJnLSRDMZR5QvCZTTYX0Eem1Y333fUe72rO5v2W02GBNQuOV0GuJ4vKK3QVetdUKaJofsQZ1opvNgZDMaj8PzwKFGcDG6omvbgPTVFUonYYgiJMVoSl7YaJwlUDpoNtMsO+Q3DnR97x+GNoOb9sDMaOuK3WbNdrOiqWu8dxRFERyh05Q0CS7Rzlrm8ymnZ0d89PIDlvNZcL0WA6NpIGKEhr3te77+9hW//OUX37ttfG+z2JZrdJJxfPIURwjXpO9o1rcobdAYFB7T7en7e+6v9qH+0BrrOjAl3nUx6FmwUSO0zlAqQWVjktESqTPyfMwkyZHO0UtPpnUIi5zPcDhcV2NNjVAJRZaB9HFakTAaTfDFmLI1wYY2TaOgVCElVNsNmRbgFaPJGJulqDRhKhTWCfpoKd6bDpRmNsrCnNF5VLQInOkMLQTZ6i/Y9IrP//Q/pEg0RoFrKm5fv+H6+oZff/mabVbw2Q+fsv4nv+bLq3vGRcHxySl5NuLNd6+od3uUlsEBKT/l8rtX/PrLv+I333zDaPaGbFTw5//yzzk+PeLnJ08pb2/49s0Nv/nqDfr5U374UQh+/+iDZ7hekBYSg+D0yRO26y0/+cmPmX78CakOGpP+aEnd1vyLf/KXtNst2kMnPX/3P/0zXp4e87//3/7veP6LP+JEOe52Kz758Wf86d/4BSf5DOqGzWqLEzkfvljyfOp581d/TvbolHx2hK12VH2PPj+ibw3ZfIQSAi2S0AzVK2rX8PjFM86kRCtNXa54cbJEyYQ0ScmEoNhd4V2Hdxo1P0WpGagcLRKc8OSZjsYGYROxvaCqG3qzQ3pLbVp0PmKsVNBETSU/PBEUzVvOPvuMZT7HtiUeR+c8iVKBUucMrm+xUVNVrndc39zR2SCA/vbtay5++AEfnZ6hPWgH97cdx7MpZndDKjVHJzOenx+Res/s6QWz+ZJlVmCbDlxA5k3bUbc1QkuUdVy/u2e/b/n667fsUsnFu1fMkzHkBR9+/Akny1MSZKAg2J7b+5JPfroEE/LYXG9p24reVHRdjdAOpQVKS7QR1F1Dud+yu9vx7u6K7MmI07MTjo9POJkeoW1Kvd5RuxIxEjx5dM6ToxPoHC0tWSYielrRNm1AQ3vP+s2Of/7PvuCLN9/+28qR37trNp//Lk3KBhqvixNDZw3ehcNxQB6IrmveWobMqYNuR0jQoSEIgddp+D3JAq0yScKkNdGH6JMBKXwfPWSgp8aD5AEsjPpDIQ5xGxz+7QEcff8RD4UUIHAR5YzNDD7GC4UGR0nPKFeMctDK0TtH13va1gRjrqanN56+13RdT5YkzKZTEqUxLlCyUFGjo2QwGZCS3XbP3d09gkAl1VIhhSdPNYvZiO0kuNa1bYPznpPTYz765BNOzs5Q+iG0WGlFErOmgnFKEDnVvqYsy5DZqDWjUTApCAWdo65btPDMjxa8fPmSD168YD6f4b2nqiukqIOTZqQNSaUiVVSHHF4XGDcIgwWsdZEa5LAmrBdPRDOUONDgpFIoofFSYkRwiE6ThCTJkFoTBvrhvPEPPeLhsx6GAtY6kA5hPZl0nI41jxYZR1PNNBekiSDTijRJSJMYOn6Ifwm0U289Xduy2W7Y7XeYrkVKAgV0FDQ/3oeiJujMwgx3MZ9xcfGIk5MTRqM8fB5SxliYiEgDwkJnHW1Tst2s2a43OGewFibTLtLKDlOKMCeJ2WWpTkiTJDaKQ9EZQrOdt8HeIRZUzjlM27LZrFjd31PtS/I85+j4KBrsZOGeEYKmbRmPR8wWC5bL+e+gtb0xIRrGOUzb4B20neWLX/6K+/vdv8u28u/lNeSpSQleyPC7A6/k4X11hM/FDZRRZyP92dHYwajpYa8TamiUspB5OhqRFQVplkWzlEAzHfbHYW86UFbfY1VIMUQIDQOv9+4HQdRvcUAu3wcfDxm277MmEAyZGoenEYEhEhpMzyQTvDif8OyoJ/Eldd2y25Rc3azZtz0IHfYbfKCaDsYpA31WhGZJRq2nc459uef68hLT1BRZwulyxtnxnOVsTKIlZVmxWm3omobT4wVPnj3lyZPHLI6OmS6PaTrLt19/E2if3rM8PuX8yXOK0ZQ0z9GrFZPplLOzk0DjVorJZMpyseDu7pZ37y7Zbvf85Kc/5X/9X/wXfPzpDxB4yn1JXVVkWcpoVCBUQt10wTAqSTHGhiGZThAqIfLBwxAh0vjDEFUc3vPQ8Km45wlkcGRD4NFJQpEX5HlEKT0IacFYHOIwOH04pwKdN1GB3qywaAsTAeNUkiWSPMsRZCSJJi1GQdOudPish2FvZAn0bctmteL6+pr9fkeqNfNFcCFN0gxrHW/e3VG3Bus8SRwsPXp0ztmjU/I8o4jrOWggRTDsjK66wTCnZrvZsF7dB/mdVHRth+l6ZkeBmqp1gor6ViFF0Fnq4ARrnY2ZtUFy5ePa9c7Sdy31fstmvWKzXtF3LVmWMxvyYIeBmOBgoNObnqPlgrPzU6SOyHecloTm00R9ZcfN7T2//OUXvH7974Aszk/PSbNxoLp4QZYojGmo5xO6uqFvanxX4Y0jnxVMR0cgNF29xTQ7nGkCdxmHExKHJssm5OkI6y1JMUFLAb1hvVtTJDAaT5HScb1ZUd9esSxGzCdzJJq6DdSnIs/QeQFS0pgWDWR5Std1rLZremNJZ3NSlZOOJ8GgwNaUl1dkeY7KpxgP0jikykmFQZiOvre8enOHkJJnT1+Q52MaK6maBtE3JNYiRcGzx0+or18j6j27uzsuL99yUzZ8+Ld/wfOTJc3ra/47D2cXF2TTGW/fXfH49IRPP/sIJTTr1YbXr75hd39LouBHP/+cFsO6rTBSIoWmaRp2tzd83ex4dbvi6d/8GX/84XO2336Du3jE0+fPWU4W/OzHFpFItJBcvf6GMR2pEyRBNEiR53jTUdY100fHXL16R9V3PHl0yiKV/PDlB/zyL/4V7XTKf/m/+c/5O3/0h0ylwFYl5WrDV9++47dv7lHTMbflnpvNht467PoWnWWcP3lB5abYZEHfWLKioK92pFoxLkZkeUrZtjTWkmYp89lz2rJC64RxMSa1PXb1Fb1WdFgm4yMmyTFKaPDBXKPe79l3JVmqEdYhk4Sz8zMSPF1bkY0159OMset48+YSuxNwdszFBy9YpBrROTpn6Z2DUQEyiUhcKEQ6Z7BVw/XlJdfrNduqZPJ4yU/+9IeMJ2OOJ8eY2tFuS4SPB4KHvEj58OUZL54/pSgukKMjMhW0R0qoQDPte5r9lsZ2SKnZvLrj7dU1r27eMf/wMS+PjilmM3I9wzQ11998hd1umc+OqKo9u6bk/MlTtNShmOktpmnouj3WBgRR9IZm1weKmLXcvL1htb2jF5aTz4/54MVTZtmCTBfQWVxfgzUYbzi9WDJ5MWGWTtAopFCYNhRmWjgUEltZtpuS7y5vudttafh+i+XfxytJE1IR3SgJdJuAkAQanHUWrMV7E514g1De2aB/wwVt1uAM573Hy6g3GNzfILoKmsNhMLiaBkJFpI9C2NQ9MLAasUSoMRwiB1qsxIuYLHigfR4eJUwmB4rrwHT1oVn0sVkMGjuD9MFARAhIrIsogI8/V/gagUUryago6HpPFzU5RVEwnU5D0+sDyuetjU1weB+SJEWogLI3dRM0nkKSaoUfZ+SpoMhTsiQ49E3nCz790Y/44JNPyUfjh8/C9HhnYv8jSKzH2ODG15ueqizp25bxaMTZ6RGz2TQ0g1WNEoL5fMqHH77k+QcfMJnO0EoHDXITKJlN0wYmgPdxUh1SKK31uK5HiBaMwsokIIsmFtTRxCAE2gfaUdCyEszevMDbDtmFXLE0y8nyYE9vnEcYh/SDcUQomBnoqESKsHfRQl5yNMp4vEw4myVMcwLVTyt0pMMlkToYSjZ/mCpXdc3t7R3b7RadKEZFQZaFBm2IeLHOh2Ki7wFPmiY8e/aEi0dnjPIs0hEFXgZK2WEwEc1syv2Om+trtrttyDGUAXXXSYJWwTZfRBWUEEMjIcnyEOsQENpwP1nT42wYBjNQcK2hqSrWd7esVvc455gv5hwfHzOeTJFJEjSlfYe1lrZrSdKEk+Nj0jTBWhtQJx/iMazp2G93bNarIK8pW7766hvq5q+fmVcxyhlSc4A46AKBfEASfUQZ7YOb6VDQ+sOAxBwofj42B875cP8Yi6rbaDaShugInbw3vAjPfYjtYGj8HhqGIZoh9JkPDIsHkzEYKPQQ98nhz0PTMPAuxPvoYvj/oTGma9HSMM9jxmIvaFrL/XqP9XB8vMCj2TU9Ak+WJoxGwUFXSBl1XzwMZAjxCX3bYq2h7Trqcs9uvebqXcpsnDMZZRRpwnw+5cnjC+bLJcdnZxyfHJOPRkiV8rOf/yHPn38ACExvESoM2ELAezifTk/PmM2nbDYbhFKcn55xenrKZrOh63o+/eRj/uE//Ae8fPlRYED0hrbcsbq94v7mEmM8OivomiqaPKlonBaQX2Mdvuswvsc4T28tNpJrhhzY8FmpGIUh0DLkxmodtHNaa0bjSdDnqQTrB0MiEbSL7322zkf6s1bkWjNKFSkW7TxTAcfThOkoY1ToONRUEVGUDzT9yPCw1tN2Hev7FddXV7Rty3y+5PT0hOlsgU4S+t7Q1MEAqKpqlNbkecbFkwsunj5msVwE2rwYsm8f1o7pO+qqoir37Ldbtps1bduhtaKYjkNkx2hEopPIqOTg/owPe6oQIgxiTGRQWIO3Yb9zpqVvQiTGdrNmv9vhnQ0ZicsjJtPJQQIAQRoiULRtR9O0HJ+cMBqPD6yAQbPZdR273Zbb21vatmOzLbm7W1HX3x8T9L3NoragraXvOzwWJwtUkjNNc2wRuLTG9SAkeZYxK3Kkg9u7W1a7MXXfIZVAa4FSKSDJtEbIlK7vsN2ertnT9BXOtpSdJLOWPM2QKmM0mmFkymXZkStBV++ROOrdHcb0LKdTpFI4KZBZQZGPmJxdEOqcKOrHoSno+xwxmgfRf5pSZDn7qg5FV5xadl1H3/bs9iu++foLCqnprGU0WZCORpBqpOhwzY5ONDTre+7vV9y1LY9/+il/+Onn7L78jutdy/VdjTmeoKXk+ZPHgfbiPW21p9yumE8Kagk3qzu+/PpbVtstDkfnoMgKbt6+4xtR8vSDR/wH//CnfPLkCfU3r3HFjOTkCZlO6LZrPJ58lIFMyKTk8ttvKEY5QijGs3mg/DaG/c2eD//4Q779y99SFCO++eJX1IXm/MUp2bNjJheP+bO/8QeMvcfuKqpyx1e/+Y5v15bZ05eM0p6zImf91Rdsdnsunj9jlCbs7taspOf25i9pncckisl8iTIO7yToBGM6tAxB0rPjY45nC6RXZKkmq2vuNvfoTCDyJUIX0cSiB+9jMKziJF/StDU+D42xa1ta7Smmmr/302ecjhK6TcmHy5zeGCZTQaZTZJrh2k0o1tMxMpkjvMT2hrJr6Ks9re0xreFut6dJLPMPF7z86CMuRsf0dY2pDd2+Znt1x7/+51/w5d01Ds/sZMynL5+RygydZeRJgu8sSIfrO6pyD0JijaXZV6yut/z2N6+Z/+CET15+zqNHj9B6zLOPPuX86CnXr96QJoLqfsXbq0vK8p7p6QKVFUET1feYusOaCukauq6ltxZhO8rVhndvr2j6jl4ZJmcjXpyfMc5GjNKcNC1I1Ii+3tHVNdW25OZyzcrWnI+PSGUKJkwwMQ7bN5SbPTfvdtxsNuzKmsY76q4NQY1/za6q3IcCWOuo7xKx0JdhBE+gRxE9Kz2xRo66mYNxStTiOPdgSHOIzhBBr+hdNJKJB62LaM9Q4PBeText1DEIh+Dhffdxmq/kkE2l4wTeB/Od9zpD4dxBnwZD8+kiozY+ERbpXTRKteDaYCYmQrHmtSDLNFmWIlWCIKXtBLvymrrpWSwWFMUYIVSk8AdDiwCOhtegk4TxaMSoKMAGdC3TCaM8YT4bc3y0YLmYkmfB/fT00QVnj5+QFBNQOqKf4fUF+lIoWJJE45BYB5vthvV6Q9d2LOczxkXBKM+wxtDgyLOE88dPef7BB8znC6RSQXPiYrxD19I2FdZ0IQ5C69AwSg1K44UCQtxFMD7zSK0QzqM0AekV4fN+0AqCwiKNxYoQORLiCaJLq9QoEWjO4j1HTxXRDyEhkZJUC4oEpplgkcPxWDAvoEgcWgYEjbh2VdQChULWRVTSstlsubm+pq5K8jxjNgsFjZTgTBeRA4vpLXXd0JugM1sul7x48YJiNEJGWrGUCuPB+qBnFQL6rmV1f8/t7RVNWQbHv3xElo5YHp+zOHpEPp6hk/SAbIc16QNanASatrMWR9Qa9W10djZY09M0FdV+z267pW1qijxjvjxiOlsEarIMRMaBEtzEEG0pBGmWYSNKrwgmD01TcnN9xXfffMd2vWY0HmO94n69xdr3IK+/JlcS9zWh5AHdG4Y6D4jh4JYaWGEHxnps2K0b9rwwJAnDszBUM8YczJC8D5mn1nmUDiHjSg6U1MFtWjxIxQn7bGSsMmhhdXRpFVJFWnVgjg2DldDjukhNjrpIG3WRBPYEg2LrPdjeeYE0DdOkpelyeuPpmo71JsQjHB0tGc+m7MqWsgr3w3iUMx6NYhMxkGaHK6D/fYwjCCYiHuPA9AbnPcUoYzKbcno05/R4weL4hPFsyWSxJMnygxwhyXJOHz2iadoY2bABwPQtZVXz6ttvollLy/1qTdN0QUs8n3FycsKPleZP//RP+ezTTxA+6N3aqmR9e827V99xf31Nmo+YJEmQDRAjMfBYL4Jj9HqNVTW9FxgHFolQCqF01LDqgwGLlAERVNIfmn8lA6skSdOIMKvDHhc0q0E3O6DEWoDSmiJNWBSaRa4plCH1CRNlOCoU0zxBKgKNFUJtN6DfNq4/Y2malvVqze3tHd57Hj1+yqOLCybjAo+IUU2etmt5d3lF1xmU0sxmM1588ILFYkkaI7VcZDPYSNs2XcN+u2F1d8t2u4lNoub45IyT01OOTk6Zzo/RSYbUAbHVOsE6Q9eHYbtKoimZDREYXdvgbI81Paataas91X5DudvQ1DVSCqbzJcujY4rJJMSExDvT2tCAWmvZ7/dopTg/Ow3ZkrFes8bQ1DX7/ZY3r9/w3atXjKdzZvMjZosFyDffu298b7O4u/0O5y1OpagsQ5WKXIBKQeoRSk6wvaFrt5SmYy0kzqf0KkWlKefHp6RKIZyJGYsd6/VNMLnJCvRshpyOEX1N1Rka6xnlKanWpDq4lCVJTtv7wM9uK5QIAZRd13K/vsTZFo9hOp4zP74gyyYkaR4PSEkqHZm2VF1H21ukHlE3NpjrpBm2rWiaDqlTimKE0wrShP2uYmcrrILbTY9cS9TS8zxNyIWnvbum3O9Y7XY8+fQjPn32nH61YXV3z+XdFpPmfP6jz3n+7ClN19Ld1sxnM4g5Uvd3Lfc3d9S7Ncv5jL4+5ZvX35FNx9xdXeF8z/LREX/2t3/OsZN0r99xvd5RT485PzpGWgPOUu7LUMumcHR+QZIXXL17Tblbc7NeUYzmXP7mFb/9y6/44Bc/4p/9i3/F3/2v/gF/849+xJf/9J9wX9d8/qd/gz/+gz9Cdy1dWVOuN1zf3vN2vaNTY8r9Cpm0rPuW5PiIP3n+gupqxe1qjZ9MmSxPcGKC8wqlE5IiJ5Ea0xnaviVRwaHLWYcvG95tXrM8OkOZFLnbgu/x1qCLOVYWpGlK11Qxw8ySaE1DR982dGUXikPbs5ym/PjJBanpqNYt3vTkiSSVnjwLhVgwPLLUdUefpqSpg7qhqyqs62jWd2ybKhhmPD/jo4tjJokmSyZIKxAW6IODVm8N37274l1TkowLfvyHn/L40ROyYolOxiQSemeoyy4I3Ldb6qphtynprOHy+pb84zE/+xs/ZJkt8K1nve9CvB2CR4+f0tUlmUxY317Rtimb+yuEVawn92Qqw7YNztZo2YPtqXc7jGuoyz335QZfwPJ8xosPX3A0PiJBgTW4zmFEGwTYnWF/V/P667f4D/PA6W+C+6MDmruaV2/eYqTj+m5NIy2Lxyd8eHxGu+75l1/89dMslpttENrHokRKFSajg8NjLHKUitPwKKJXWkat1lDthINvKFwGyqofUEcnDhqFw2HJA+IHgxaCqCeKInQsQrjDF3khkVbhtAo5fIqI3giEcKGZjPR/KYM+Ufzu6D00vFHvE6otAjJkerzv0DIJlO3YkKa5jNNVBT5kBPa9pTeO6WzOeDyJSJbDGHd4LcN7IZVkMhmzmE+DCYsUjIsR03HOfDZmNp8wKlKUEmityJJAUfW2p7f9IbcrIJYeLQbUUodoHuPYbvfc3d/TNC3WWbquoSo9pu+oqpLJbMGjiwumszlS69Dsu3DYNnVNudtT7/d4AZNREabrIsEnBaJY4JMJTo0RSQEqO2g/8IPRw+HTDMiIDKW2jwhM34aiADgg1PAQpzLobIaGU8lQcOWJZDpKOBopTqaKo8wx0j1a2oNJhxs+V+9xwoELyF1wALRst1vubu9o25bpdMpiMacYFWEg4i1GePourFnrPNt9Rdd1FJnmww+ecPHolCTkYwWUFA56t74PBmGb1Yr1aoXHx8n2lDQfkWZjJtNjJosTsnyMlIGOJRE4SRwsSNIkC6/F+eAwaDpM12K6BtNWdG3NfrulbYM9/cnpKZPZjNFoErIqefg8QhC2Y7/bsV6vD3Q6ax2ecD9W+z3v3r7l9vqGvmtYzKfM53Oq1lNkGVoOGqi/PtdmtX4IQFeD/jBQxodhxwFtfI8mKgf9IYHZIHUamAhE4oIL6KOPzpDGmvhe+8PAwvuQhxl0vOHnGfIXh7ULEWHnIXpHyRA5Edx9E5Ik0EKFejAP8wwIaHzuPjQNg5Z4yPUcaI8h6kiiXceuq7i88ZwgMOWOru05Ol4wX8zxQnF5s+X2bkPbWU7GY8bT2XvouH+QEcR9wNmASOt4luD7kMtcpDx5+pgffPKCSRGyvZEqDKGExvswPBSE1yEgmq0UtG3LdrPh9vqGu/t73rx5Q9XUWGPYrLZYY0PcknU8Oj/lsx98yieffIS1HX0V66e6pKv3VPs4aBmNmI5ypJR0vaW3Eiv70BRKhY9rQgkVmDJSR1q+OpyDMsZtHCQS3uG6hq7a4voakacHZMsz7JHhepBVBP5DoiWTLOFoWnAySlgWkpGy5DJjpBypCmvT9B3GBERbykA/dd5j+tB4lWXNbrenqhvG0ynnjy44f/SIRCd4a+jaBtN19F3L+n7F1fVtoKBqzdMnj3n29GnQTh8Gw2EgZm3QJu7WK1b3t5S7PRAcay+ePOPs/BGj0ZgkydFphlQJUgfJiZIC15hg9iUlaaS0mjik7Noa07eYLjSKzX5HU++xxpKPCsaTYLCTDZ4gw5q3DxTWtmmoqzqYlC1meO/ou5beGPa7HbvdjqauI8o65+LpM46OTnjz9h1/+RffX9d9b7N4t9vQdjXS9WRpSpIkbF0f6C3ZBKlGkarQkI7myHyGVgmJTBDO0m3vMM5RlVucIKBESuBNSecavMnwQNf3WIIRQtfXOCup9msEoNMc0xk6G6bCWmpmkynIBOOhbduATtZ73lxfMi0ysjQBJyiyET4fIfKcPJtSFBJEwnyWY5wjzRTT9AjroGkDVZNkxHxxBDa4GHVtgyXmz/S3JEWL6Wu69T33uzWLJ6d89NEnJJ3h7vKWy23Dd6v/D3d/1mvZlqbnYc8YY7Zrrnb30UecPjMrm8qsYrFYIgWKFAHLohoIkgHZNwYM6Mb+Eb7yr/CtYQI2DOnCtgCJtCRIpKpYbXYn8zRxoo/drX7NbnS+GGOtiDTMQxu2msoFREaec3bsvWOvOcf8mvd93pYaRTUckAjBZDwlVZJmvcF0PevNhl29w3hH0xnW2x27eocqCqpByVvd8fijM378vYcMjaZrHK/fXPPN7YY7D7+L8gm3tyvGZcGrZy+p2hOOJyOKLAB6nnz0KV29Y71Z02xrXjx7zdJonj9/ydz01F3N7eu3+M4wry3f+fQ7mPWKdrdjeTtnvl7DYMgn3/8u/c+ecrndMu9eUz0+4g//4IdsLxf8yfOXlMdT5OgMefKIijIUwt7DHlCQGYSvEHH6bKXCFYbSabzTrLdbstUlKpX0vaWQGcv5W5AF3ppg2o1B2r215HnGsCzwzlLmOR9fVBTNjsv1grRIOJtNyDJJkg6oCkXiHWa9YXV9Q2M6GCtEMQgYa9Ni+471es0utWTliNlsyvn0lNQSQ+07+l1NU9cRPW3CpnlQUhwP+M73PqRIS7zMwQf5ZrNcsdqsaNqaug2RFdu+JRuV3PnuXc7vX3BcjkldSmt6vHW0TUvXdwzSkjTLAc9gMGR1+xqfppzduYeEmHtnMU1D06/wtmW3XtLLHjK4950HnJ6cIJ1jVIwokpxUFehNTd/WQI/VPbr3zG9WvF5e8707n5ITqG9NU9Nrw+LtgrfrOaOLEeefHvHgwSNGxRGiVbw5uiEV+bceKn8dX12zY+85PEij5Pvkv/j/FYd/FjI5yPF4jxAo4iZy3ww6v0d/Q6DGRfy83w+Ro2TUvyt4IiAyNhEueNniyjHUJNFXZEVUr8pYbEVpkHSH7ymRIsob34tl8AFy4oRE4sDLID+zFmMluVCUmUDJ8I3EOpt3GZBBprhcrRHA8fExeZFHJk+QFe4N9Hup2l56U1WDEEkRpUpplpEXRchLlQrvDF1n2O027NZzkiT8PVwsRoX3KCkgSZAxkkYIT9O0vHz5mpvrOdJ7tpsdi1SxSxXOWkSScnJ6xvToGJlkh+bMmiBp3KwWLOc31Ns1g9GIyXhEVpYY1WCSAT4fY+QAI0pEUiBUeihSvHVYZw6FadBpcbgOhLUhlqcN96IQ4X6Wug/bYxf9j3H9q6TEWkEiBYmSgYDsU1IpKJQgUw4lLIJ30ud9bAZR5iVkkEx3Xct2u2O3C1/39OyE0WhMXuQHHzhOBLmnC+CJ9bbmzeU1bdcxm8345KMnjIfVYaPe9SaCLsIGcrvZhAl425DnBUfHJ0xmM/JyEEiyqmBQzciy8M9CqvC+xYDvvYQ3TcO0PMCmNLprYoFbR6pqkDZWVUVeVhEykgLyUHiFe8nFAcGWt5dvuL6+4fjoCGM0WvdgoGtbbm+vWS4XVFXB+dkx49GYsihZLrdMhhVq39H8Fr1u3749EChlhB+F2J8EmezPPPEb5x7IQ0O0PxPFvtEUKkh6Y9cmkwShPNIlh+3uXhoYWsDoO42Dmnck6Nigeo+NETQ+TrVMlNkrpUiSnizPKIucVATfV5LsJYLETVC4J98N7d7lPB5mZiKcxDmaynqWmx3PdM0oMYwnE45mY9I0ZdtaLm+W3Mw3aOsYj0NcjHi/qY5nIj40uomS5FmCLQpkuLnRfcugyLl3ccrZ6RESwXyx5np1w4nPSIoKHyXpMg1MjiQJ0CgpBdVwRBllvsY6bucL5ssVy+WW+XxBkiTs6prrmxsGeYgWShNFW+/omybWDyb4t41Fdy0Sz6gqqapBGApmW9JtS2cFohihRkfIYohQKT42tcFO4cNQ4L0zPjT9FqsbzHZOu7rGmw6dJnTNNtghhML5oJEJfzbIUJEqbJD38n0lUcKRCk+ZwjBND5EZWve0Xcdms4nS5fi8tY6madhuN7Rth5AJp2cXHJ+eMpnNyNI0wtT21NIe3fVcX9+yXm9QSnJyNOGzTz/k+GgaawEZ5Nda0/UdTdOwWS5ZLeeYvicvCo5Ozrhz7wHHZ+dkWYGxgSDvpWKQD0jzkAoQrCINLlqyknjWWaMxug1nXbuja3a0uw2675BSMZgMKash5aAiy7KgnNg/i50NCzvdYfqe3W6L1j3DYYXA09Q7uq5nuVyyjgPx4XDI/YePKAclg8EQlaSMRuOgEPmW17cDbup1pKU7mr5n1+xwpkMKhxDzML0OIyXy4YxidEyWZhR5EVakjlA0pAlZnoOTWGdwUeKQqJyiSFFtNJGLlD4yysJTydDstpi+QyUS3fRYKXCpQqUloMjxlPmAo2pMmim8NzTa0mnDzsFmPUduLEk2YJTlHE2PyZKCTMQgTRvDpqVhMgjhyEKm4DzGp3SJwkTccpHNqAaG1DlWfcfk7jEP794jbS3b5ZKb+YLLTcfLtSUpKyajIWWehXwTGybAu7bGSUmahtW8TBJ63WOE5+zuKbrpQlakTJhfbTmSBd2q5enLG37x7DV3/+jv8fLr51hnuHv/DrPTI948e87rrmV2fsp0esR4UITGajDidHrE4vY/pTob8/WzZ6Rlyc3lFb/qG15/85zzv/FDmtWS3WrNdrvBqISjJ485Ozph/eKS5tkz2PWkE81IeX79058yOjpnNjuiW+3YiY7Oz/GqoKxGDLIc3XcBKx+12RADy53FekcqBV3fI/sdol/jncZ4gUHihKTvOtquIbMZYr2i1x1ISW9LXDFgkOWkSrFdNvT1DQ7N3Xvn3F7fMJuW5EpiNj2629Kvtlw/f8F2kDAdTVFtyEF0pqfd7TBFyp0H97l7eoEykPoErzWmC5h7Xe9otzu2m4ZXz655tZqTD3IefHDOvdMjcjKED9dmvV1Sb1dsdlu6vmW722HShOn9I05OjxmPZsyGM2gNXdOxWe8Q5QCFoN5soIIiz0lFCT5QAa1VnJzeJ+kl69s5va7Rfcu23iKUptY1+cmI6XgUZFgyp93VKBIwHuOCZ8f0GtMHUMRu1VD3LT4Jvt2ubqjXW5abFZ3R7PqG6cOSew/OmI2mlHJEKnLqrmcz376Tf/wWvawOen1ByJJ6Z7rnQGw70PwEYaIt32WPHQqn/Rby8N+Jy8a9t2aPCIf9PPXw2o/o9y8ZYeJevrPD+L1/MJInYxPoInTC7y2GyIAxR8RMyPD19nEDeIFHRtlRaDiDbNEhE8GozCkK8F4Hv54LWXTeGsImzHFzveX6+oYkzTg6Ogo+Rb//i4gDGn9PjTP7zCxAG0vf9XSdodUG4yzOW0ZViZDgXM92u2F+fYnu+2A38B5nQ7OcZSl5lpMWJUnucCiev3jDz3/2C5bLNWWesdvW5IkkSyVplnJ6csbx6TlZXobHiwtnVFPX3F5f8frlKxa3t7RNy2AwoMgSZJqSNw7rEoyX9BaMt4HQ50Pepj9IbX/z7Tu89g2zMTijg8zXB/+qMTYEVPvwMzHG4REhriDKUJUU9L3AW0vqFIVQpNbiE4MUNhTg3uIisM2YMGmGsOEwRiOEYDweH2SnIYMsouWxB3+gsZau01zfzLm6ngfI0PGM8/NTVBLAHX0kLnd9kMdttzv6riNRgslkyuzomOF4SpaXQYbvAtBBvidZCx5Fj49DDmMMUgrSLAMRIQy6j8XTFtO34ANpuyiLEFuQFkgRqZqxqRDSB2+xtfRdy3I+583rN2zWG4ZVxW6zwTlLr3u2uy3eO87OTjmeTRkMKrKsIFUJUmQMioxEyf937+hf65c9PJfj1Sp4t21ToYFMZNg67qmOMsKqZJS+vwM/vSNA77eUYfsoUSoMdZwXWCHAhPv8/XgS5/bN1rtzMGJn8HuBp9jL5cNW0pk4kHHh8+RFGPCpKHNU8v28R8L9R2hMrLVRmhprUOGZJI4TBJPeoFzDaDLh+GRGngXA02qz5fXbW3ZNT5JmTKcziqIIZ6oQ8Yx7R8qWErI0YVCWJN5S5gmJlCFnMQmbxr633MyX/OyXX7GtO773gwynCrJtS5blJGl6uFcE0bKgFIOyoigLKj1ks6356usXrNYbeq0ZVQOkSsizhEcP7/GZVGFgst1g+vawTfb44LGbLyjznO78jHwwIFciKLMSSecC5NEaB9oivArn3EH6y28oX/bQKo/B9zX9boVpNnEL2NG2DdoJHKGeDvesCH7F+HxNVBggrYXHO4NpPLYViFFCVmVhaxojSW5vrtms1+R5DoScQK01TdOgtaGqRkyPT5jMjinKwWEppXV/UHfovqPtOi6vrtnVDWmScOfOGY8e3SdNFM65g6ewaRvmt7csFwua3Y40TTg+O+f07Jyj03OqaoRSKV0Xvj+tDaPxlNFIkSTBo+2diQM9R1EWcXPpcNGjaE0fN4sdzoU4qMFgQFkNSfMiRG6I8Oz1uOgdDoqOvuvou47b2zmr9QaVZOy2O9quZblYst3tyPKSs7Mzjk5OKAeB6hpKEBk8tv3/L57F0XGgUMqgD3amh8TiRCD5IBXOeqT0aGvQqytSL9imKYmUCFykYw3JshF4Qde3IXpDghfB1zIcjpAovMywOBKl0F3Hrt5gvUBlQQ6FdnilMN6gvca7Hmti7ovpwDSUecFgeEJSTpFpinEdxnrSdICQgq2WZEJTJI5UBgpd5wxd2yBci0xKhllFURQYp0iBVjt6a3BJwZ37H2B2XzK5f8HFxQWq6al3S66vb/n1N6+oHn6Py3/6FFNkjKqKPFV4G6AJTd2QJSmg6XrNzeU1m6YJ3hEZmt3FumFQVqwWNX/6l19z9eoGZRx/9flztoni7eu3+G2Dt4ab5YLPPvyAZrHk+Zs3PH/xikFZUpUl09mUIknQdc+vv3qBE7BabrDWcXuzQq9afvr5U/7+d57w9uYN02rG6QcfUJYDchTd9ZxXP/ucqy++YGNbdnMoioTvffYJR1bx5duf0uUVPs0xeJJE0pseYWPhFymI1bAKU3IHptf0TYNIEkqVhqmcbzG2I6sqnHYs6yU+ySiyBOVAZkECHWJccnKhcMawqQ1GWBKTkUnQ37xiVCpGw7vgHd1yyXZ1y261Yj6/YSsmjBU4rdksl9R9Q3U84mx6wtH0iCodYG2Haepg6O4bdNPRdC2t1exqx/O3G7bWovKUDx6dUwLOSbxX9Nua7XLFcn7F1W6NylKSgeLs3gX3L+6RkYWoGKto2pa+7TBCMD67w/T4nFRFMpZSJDIcMF3ToLLkUFDhLUY3dLoO0jLXc/zwnFE1xhso0oLUK2RZBkiFMXjXYXuLM5qmbjDGcHu94dXlDa1uWC/mrDrN+rpm6zUyhfGdirt3T5iNjinzCb7xmL7Fth2b5QrLbx/0IUmzKJXy7/wz0UL4DjUfpSgehDQHr4qIuYv731USfNFJmob//97EHqKMT7zbJu5f3sfPfdCIQojOACEcgiifc/6wveMAhghN6B5oI32Y3ErhMYTfwxeJ201PdPAQukvnkA6E9RSpYDrKGZQCj0PbIJPUvUF3PUY7NivN85cLNuuG4WjEeDoOcitBkH5b9y5O4gAciLRZ5+m1Ydf0ONexqlu2Tcuu6Tg5njAeDQJwRSo2dcu6CUHxTdsFwJMNIJYsSUnzHJKMXd3y/Pkrvvr6G7Sx5FlUB2hDlmRU1YjT8ztU4ylCKawPza9pO66urvj6iy95+/YtTd0GEETfofDhOeZ9KCx6ReMsnetAdMgkP4QfRy058UZF4A8+VcE+SsQCniRJyLIUKVUotkSQfVrrsTF308b3TMTth+5D0SV6h+zBD2FUOJQKMJKglnB0vaXre5y1pEoGf9VwyGQyZjgcxewuGZy3zoMP74+1e1iTo+8NNzcLlss1aZJyfDSjLAuCvDgUO1rrAHdoagQwHo8ZDgehyS4HpFnID+t6TdcZykH6Lu8uXoj7KAbnQwO6B+AgCNnLfUvf1nHCLsizgInPsiyCOEIgtowFmCcMZWxEzW83G66urlkuFhhj2NU7Fos52+0ajycvCo5Pz4LfNi+CVEwFQJD1ULddzAz87XplZYk3YQu+b5r2jZu30XsKEaAVZehSvQczid7BNCHJcrI8oPtTkQagSfREyjhY89HjuI9SsPuzwIUoisMZGLclUkT6c9zWhbNyf39xOJ+tMXRtaABVEqjSiXq3MQ1+7kAjRojoNufQgPn4bwolOR2UnMspJ9mA6TAnLRKsc9wulvziV095dXmL9Z7paMjxyUkIfRfynWrEOazRYXOlO7y3QTabpkgp6PsQeXU1X/PzXz3l8mbBi9dXfPPiNRf37iPzktvVltVqTZoFSqk1lu1mS9N2aK2RSnF8dEQ1GnJ9M+eP//Qvefb8VYiBSMJZkiQL8lTy4O4FSoggQezDBjHPUkCwul3w9tUb1ssVqVLcHh0xPTlGdzrCniyd9nSmxbkNrjV4leFEEgegMT9TEHN7RfTKg/AGr3uc6RDCoVRoej0C41xYCuyzheP7IpVHqnc+RuMsTdexVZZd5rBtgtcFZQK6bVgtFyznt+i+DwqDPI/PZ0izjPFkxnh2xHA0IcnycP291yh2XUPXtuiYL3t5eU1dtySJCgueosA6g3Kh7wkN14LLy0vatuNoNuX+/QecnJ1TDqo4JPX0bVgQbHc1ZVkxGFTkgwpEGs4RKaOX11FVQ5IkjUPU8HPfQ6WEJBCFy0EgyMZMx98YwLogO+27lqauw99ls+Xlq7fc3M7ZbDuKIqfvW6zRDMcTLu7c4ej4hLIahrzaeAY7G+xs7l+yBPjWZnE0PA5ofq8RpkfJMqxvuzDpk2mBTBJcuwveQa9xXuBbGQzkaUpuKlokNQmpzLEGTLdCeM1kfESZn2CtYr3d0PQ7jqbHDKsp5aAkzyp607Fre+p6jVQZqYIkHZLkVSABOoPA0euO1nqyJAnTBg+uNeRFxaDIkd5Tb9Z0qyvWpifPM3a7jqoacnZ2SqUKFk2HdNC1O8Ryjus7RrMZVTlirAZ433M0LcnWktlkBl1HrQ2r5YoXz17x6+c3sH1KmuVcPLnP+Z1zLt9ec+fslDIrUFPB17/+ilfPnzOajjm5OMe8fssvvvyc44ujkAXTBrnAtnc0dcfLl9cgBLPTEZOs4PGjhxSd45/8p/+YRV/z8z/7GbPpkO1ijtaaxWLD1XqHdkEKkaQD6lqzWM1JsuADvd5s+NE/+F0ef+8D/ujv/iG/8+GHYAyua7F1zXqxYv7iDb/+q5+B1FQeOgN5ohhpx4unTzn5zhNYaZaqpBWKerXBAxshkVnKMB+y3ux4+tVLdrsd+WjAowf3GRYp9S405jkGiURoRzYtscWAoiwQSUGCxHQNy/WKtEhRHsx8HkAv3oU8N5kwG0+YSnjx9a8ZjSwnRwppWtrrG1bbBRbH0rWcnz9hlBToxrLbtciTIQ8++JCxzMNDzYo4/HD0bYvVPV27Q+YZiSZo6UdH5KqEzHL33jmFzHAipdm0LK5vmK8XOGNYrjc8/MFHPDg7ZTyeMR2e4DuHi8j6tt6x2TTs0oIHx+eMJkekXqGbBmcM1sP29hayhKPTYxKhQjSGUOw2DcZZ6l1DepRzfHZBbiRknjQ2AWmWg/H0UeZqdI8zGmc0u8WWZ1895+XNG0zWsLhdURrDZrtCjAs++e4nnI+npDbBtSCyBCHihqIPBZc23z6B+uv4Gown0VvoDlTTfb7Y+140H4mke68hQsQewBw2iM7IGMwbC5hYyKgkBFhLmR38Mgf0PHHI5/dbTYm30XMoBEK6KHl6R9zcE/4C/l3GJvAd0t77QLNzLhRfe8JN2MJEzGokqUoB0kGKpywSxlVKkZnDZtM5MNaw2zUsl1tePZ/z5nKDtQmnpzNGVbXvk3DGoY3BGkvfG7pOo7UJZD0v8EJivaAzNlBMe0urDW0fFAZJjE3KBiMMisVyy9X1LYvFiu2uDbaFuD0zxoRtmg3RC856EhW8iIHS6AO0YDJhPJmiVBI2ioTN1Xx+w9dffcnLFy/o+x5nPSbGoSgJxKLTOUfvHJ2xdLFhQhlUkkQ4wx737w8AmwDkEEgc0vR4a0KGXBL9VhA2gn7vWXy3mfQIHISmPxa2vXZsfc/cG4S2tIUjS4Kf1ViDMTF7EEGRZ0ymU05PjmLecEaikoNfSDgfQFwG9pl7LuLgu7ZnPl/Stpo0SRgOK5QSBw+atWGK7+OmryxLyqIkz+OARAUSqe57NqsN1glGo6Pgd40Sbf+ef9YaE4i6RU6aZhAbWWvN4eukWUFR7n1AYeASpjl7jyIHuaO1hqbesViESI2mafDe0zQ12+2WsiyZTMecnZ+HCKs03I/7bbN2juV6y818g3G/fc3iaDaLxbMO9MXosbPGHoZizhpcH+NjiJu/KGMPgzSBTN5FZaRZQV4W+MEAUZYkWbgO0iSoL7wQUW4a7h3r9lmcjnc1atwmxptBiH2z6A/n2j5OZX+j2Hjd2l7j+35/iBIoqvJA49wTqQ8pF3uojnNoCZkSTIcFsyIjzwTIhPliyZ/+2S/5+a+e0rY9WaK4c/cOp6enYTMvg7cqQJh6mt2GzfKW9XJB22zp2yacSc7TakfdB8n251+94O6uYbHckOYlH3/6GecXd3n56g0//eUXGOsoi5K2aajrhq7X0dsMZVmQpor1tub2dk7bh1D2TCacHM949OAuRSp5eP9utGMZEinJUkWeptxe3/LFr75gvVyFGJS6YbNeMRhVQJC9B0u9x/iwWbTC4byNghH/G1aNfcRJOPMcoPG2ixvWkDes0vRA/Xb+3UDMx8+zTw3yzoWzzke6tTBIYxmInpyeQhi6ZsMu+u7SJMDNgoc1I8syirJiUI3Iy2GUpxOI9G1N37T07Y6+3tE0DW3bcnl5xfXtLb2xJFn4+L5r6dsWlaY4Z9ms1yxvb7HGcvfuXT744COmR0ekafCsax181U0bBpplUXF2cZfp8RlpVqKti7m4Cq3DUC7PMlQS83qtiWCmoBhSSYABFWV5GLpxuO59lAGHJrPrWtqupW07Xr56w1dPn7Feb5kv1oxGFeNhxenZGXfv3WMym5Hs7Rc+PGEEBDrqdncA4P2LXt/aLOaDApEkwVvie4SSOKfQJhT5iATdriEbYGyg9Xjn0bZHElasnfOousF1Pb2zpEWOUDl5VmGNYLFckSUJ9XbDqm65ul2B0AyHI46n54Cg6zsSr+jrawyGJM1J8wolC4w3IVZACGajCVkMD227DeNRQZoKunZH7z3FKEdkJ5hWoxFUowSpUm46g0eS5iMA2q5GNz1OerabhnxbIwXkhSDP7jMajsilo61r+l3L62ev+ZOffUkzqCho2DY7HlUliYc7Dx+GSI/Vis1iSZ5nnD+4x/MXL7h6c4Xte4aDAcpK1uuaZtfg+47eWYSXGOB//h/+T8k3l0y++xO+/8mHfP7P/hI3fsDbRctiecWL//q/YZxLvLPkZc5wOqQqS4Z5znpRs65rtDV4lzGcDfnJ3/ohv/udD/j5X/2SO6fHdKslQhu69YrlzTWvXlxzPd/x4uYN3zmbcrlsqKoB+s1bfmbhD/6VP+L6p1/w9PINz6RgJxtEWZLlBThPkRRsTI+VkE2G2Dxj03T86eefc3E8ZpqXTApFZjus7fFKkJUDxGCEdxmQ0Pc9SVoihgkii1KXSZBkWdPT9hpkGqxWacHokx9yMe4phaFf3LDrlvQJqNmE7999wmR8QW8cW2s5enyH0/NTTkYz7KYJ2xfdYHVL33U0mzW7dgtlzqCoWDxb8quffs3z5S1OGoTuePPlS15LyexUIWVBMspRu4Q+y/j0ox/ywcOH5EaQZiXCWDBhze+tpTc9rTUMz44ZlmOUFwjjaLY7TCoYFSXJoIC1RcQIDikykqIkz3Oa7ZLqbMZ4XCFN9L8JwukbaYZWO/qupd3t0KbDth3zt2ueP33Dz776kk3WMBtkXL15xWjygPvff8DZ7JTZ+ISEEpRE95a+6bCNQWvDdrXj5nZB4377ojPK0SjiyO1v5iw6d5gGhkLKhiby8CejYOrQTO6LVx38pX1HF702YSK/n85GIIDYwyUiSOLgYRR4B5K9HDE0iyGVITxQ9zhvlQSwlJSKfaZfiCMI32GgtvqDj25vHThMiOU+CDsEbheFIM99zLTz+7Ic5X0g3TlPvWtomo40z5hOgrfHRGBL33e0bRu8bNsdm+2O3XaH6XXwB2pL7zxWSFBBYtYbx6buGDQtJBnleEpWDei0oTWOTdOzqTtW2xqrDT42CcbYMLzwPnqpII2AHLmXN6Vp2EYJEbKCW0mvNcv5Lc++/pJXz7+h77oAXWEfiRIaO6XC8FH1DmlSlEhDrE9osYMsiL0cy4EzSG8DXVSGJjLxDm9bvO4AH+Vy8dEbVteHZvFwTe1BIxCb0ZA/h1QYZ+kMpH3wkyphcT7EZhRZoM1OJuNIqC3DxpvQpO+/niDQI0OhExDwzW4XMPKbHcv1DkSQ7xZF8FEHymUA5njvyYuSvMjJ8yKEV8eYGCkTrDHstltub24oI/107wFGBGlivDpDc+4JuXWxoT3Ez3gf3sMkjTmb+4169OjGO9F5GwYSpqfeblktQ6O4Xq2o6wbnPEXZYJ1nMp1xfn7GZDo9eDaNdQgV8iSFF1xezbmZL4MF5bfsVU2nISPWGnpjsFqHX2YfC2Rw0dflYyyGiE0e7v3IiZ6+rmmiLDXN8iANz9NwPcSoDJWoCKJRRD38YbC2p00LESTdQsrDBlolwb+2z6VTcaOJ2Df27/yIHv/eIMIdYo1MHCztZZwhwiBIH130EtrUk3hFHo4jEpmyqnt+/vMv+PLXTxHOMh0WFIOS7332EcdHU1ABKOV9hJM0NbvNmtXils1yQdvWmGhtMNax2e7otAEhg4y0GtB2PXeOTnjy+BFZXtB1HVc3t6w3NVJK2rY/PHcSFbJTjXUkKuSGSgmJDM+Hqsx4/PAen338Ad72zKZjBGGwvvcwLG7n/MWf/QVPv/qKPE3JEhUk2b0OoB8pSVNPmqYoZcEFBYIjhrlj8cIdJMNRhYsElLAoLPgO0dd4b1AxZ/Yw1PGemPjxDsYl9xLk97aV4V08/G6do24N2jboZouzhrIsGI2HHB2FGIy8KMmyPNq7CpAieg330Jdt8G62NV1ds6trNpsdb95es17vcN4hhcAYTb3bUuQhQ7apa5arFcZYHj54xOMPPmA8mYZz34dBge77sFXcbBFSMZ0dMzs+IyuHBAsWh0G01hqECLErEYTn4iBEKhXymH0YcCRZHoaR8M5eEtVOzjl0r6nrmt12y+XlNb/6/Ne8evUWbRwgOTs9496Dh9y5c4fReByb5zBycdaCCPfzdrtltdkcBhL/ote3NouDfIQSLc55FCWmb7D9DoEgn0wZZCXbjWe7tQzyETJR6NoghKZzHcKFCY+2fchxQcDGIlVGPhgikgIX81rKqmJQFZgeiqLE2Ya3L78ilQ3IBO0Eptd0Jqz5cQ5kwngyQ6mSDoW8ekPiOky7DmtkJRmPhpwenzObniFUQpIrhsMpiUpR1qAUwQgdC6feGHIJO2fQ/YYSTzkYoK3F2w7he8oqp758S1133F7e8PnzN3z4N77Lk7MT/vi//CWj8yP+3X/4DzgeDul2DV73SN2RKcFi2/HNl1/Ttx2llPzy7RtUmeCc5frylq5v0V2P8w6Vpdy9OOL1y695MBsyHQ35+i/+kj/96ec8awes0pSVSBnPZlQJSOWpBjn3799nMizxbUuzajFGczSb0BpBmScU3nPz7BW9dSwvL9k1LbZuef31C75+/oI5Gevllum4DDp1L1nfrugvZvxPfu9HsNnw9VfPaaopg/E9hoOT4KtyDu96dKtprMFYgxMJaZ4wtA2it1xeveVKwsNpiZQNylkoMpxz/PKXP6dLC4rBEIlis9vSdi1FVfHg7mNUmuGcCN6cTlOUipPRFCXheCb48YmnunnGVghaBNXDMy5mM4Z5gsyHkI85Px0wHAxIhcA3HdgOQYLrAhmr3u6orUdbhdm01Lctz55d8nY+52qxoNcdXnroe7rdhqbaIrxmebtCp4KPv/chozQnMXF7YAKZUPd9yDjatqxWW3SSMKsG2E7TmQYZw977TuPynO16xa7dMamGgZplPbrtMd5RTCom44oiSZDxQZoqgTOxobEe24dNoHOWZtMxf7vk7dtrPv/mOc9vrnEDy+R0yux8xr0H97gzO2VSTCmyEd6lpGmJ8m3c/kC7qplfL7jZbND2t0+GKiEY7Q9EQPAqILmVexdIbJ05QBkO7eHBM+XfwRNiEWu9j9AYG4/pvWdxv50UCCQiAmt8lJ2GDESB9CJIRIVFqYCU9xHSsJ+Q74mgaV6QZjlpnpMVRXh4RgpbIMZxkIcpGcOtI7lGeItwnpyeMrco+lBwqfD3ssbivCPLUsaTIcNhiZrvwAcwmTYhT8xYR1M37LY76t2G9XLJchkyonTfY62jbVvaLjQISZKifJCoCSlIsozZyTHjoxlSKVpb03tJ5xUtCoPAJylZljObzTg+OSXLc7arFTeXr9ksl0jnyLMQSl8UOXmeY4xhvVxQNw1123F7c8v11SXL2xtM3wcVhpKRWvsuX04pQZ5nFBp6k+F8jvIZ1stADNz7n4zBO4O34ToJ65J4hXiD0R3O9Eh8mN4Lwjbamvj83hNr94XYu1gDISGRkIgIBFJ7iV/4qEQpkjShKEoGwxFVFWwURZ7/Jqk3bt+Im8S+79lttmzWC7brJbrvMdZyfbtgud4Ggm2U2mmtSZIEbQxKKspBGeAySRIkirEAByKq3dO1DcvlgqwoD03iPm8Uws/A2fB9CClJY0O/n6DjORAn9zIsf/CturChiEHx+ND4rldL5rfX3N5c8fbyLbeLOcvVhjzPqUZTHjx6zN17d6mqAUmMjnDOxMaBkN3c9Hz51VfcLpbvmpvfolcS890yIcj38JlIDQ3NoX0vfD1kwLl4/3sXvFKhsYyS+MMmUGCcxTQhu04pdRhY+cN7H8/JYGxEev+etzCeT2IfwSDe+a4jhCeJ6gyRJEHin2ekeUaS5SRZEoE7sQFxNkpfXTiH99/HYcQAmfSMc8UwE+AtvYHF1ZJffv4lr1++5oOH98mKjFdvr1FpxnA4jNK9YEMIjUJN22ypN0u2qyWb9YqmaYIdQEq63rLc7DDacjwd8uDuOXkaar6z8zOq4ZCu79HWkeU5YhvVE/FZIwSMhgPOz8+oBiWb1Zrr2xDt49Lw8xwUBZNRhcRTtw3bzZbtcEtT79isQ9bp29dv+OUvPsdZx9npccjyXq8R3lFkKVYIVB/O+CxPkDrBC4nzAhfvy703fn+kBKm8JxEO73uEb1CmRvkeL1wcQoZBpxfh83gR4GpCvtck7qNRRBi+CiFQQpCI8D7qvsP2DcJayrJkPB4znU0DbTkrglRTpSDkAaaGB9P3tE1Du9tSb7dsNxua3YZeG+omeK61MYeGtW1aNqs1WaIwzrHZbLHOcn5xh8dPnjAcT/EEQJC1JsJpOuqmYbNeUgxG4T1Uwb/v2G/Eo1Kia0lkiB5ycbsu8BGAk0YytYtUcxH7o3hzCA65zkYHT/9ysWSxWPL06XNevnrLZtdQDiruP3jId3/nu1xcnFMWRZByxzN4ryKxWuOsZTFfsJwvo8/9W86Nb/uP3tWUicKhws2RJFhKxoMKleRI5yiyDDmc0vUaYyzpIKNIMiYyDcHAxRDvHX2vMabB6x26t4gkoygGJCSYvUTBGVTh2e42eBtM+ZY0eAutxqlAd8wLUM7R25662ZDIFpsMkN6zXr7E9Nsw4ZWwmsOrN1+SVVPGxYDx9IzR+IQ0G9J3FoOhGlTgDVUmyZKc4bRiWOasmiFt39MYQZVlXExKlF7T9y1NvePm7S0vFyse/ORTfufxQ7Zfv6Letggsl8++YaNSpuMxWHvI/lquVpycHvP5z3/JF18/ZdM0JHWC6QKEpG97am0YDkvOTqdUecbV5ZzJ0RmbxYJu3TI8PWF8bdE+Z9Q1rMqCNJNkWcLv/eGP+eFnTxC7Ld/88ku+7F5wfH7EyajidrGlyBJuXl+S1Q2dt/z5f/un2NWG9WbH5e0KkymG1YTry2tO7w/wRON6orh/ccbtixd0gwkPfvIDVs+2aDFi11uc70mSUADIMmeST0kFeGtwVtMNCurREGPDtG2aWvKmwQqHEgqZlNx5eB+TlUgPm9UGUxTIJMXgeHb5lGE5YjQcMyorLs7uoLIU5aCvV2xcjU4E7XYOueT8+A6T6ZACj0CBU1gJZZ6RKwW6Cw9DEXJ2+q5G6x7rHN265WqxpOt75ss1G+UYX5zRvr5mu+uQyrJbL3hzKUhO75N6R3I25vTsmCKtSESQlTnr8Mag+yAT88bS1A3rRY0eDniQlzgHlhAga4Dh8QyzqdFGUx7NUEmQK2RJQpZnZEXOeJCQpQJh96ZysF5gtQEcVnvapqXZ1WxuV6zma148u+S22+C8pu1qjPKcfniH3//d73NUTCnTAilzvJdAgjUOrW04bOuW5e2On/7VF6z6zQFK8Nv06po6/J9DbRiw/qHBEsFTrSQJ75DV7xcd+2pcIEKBKSNSfr/Rg9gExlwut3/wRv+gc1FSBcRmxVp3UIsG+qnDaReL2/gdxOgCj0BlBVke7pmkKCgHVQAiZDlZnsacK0miBGkS5JWIsCMTPjSsmbekiUE4g+01vTSBCGlD4ZOnClF4RlVGpgAZZs+672ibFutdyAVrGra7HcvVmsViyWq1DnEWMYOs6/rw+bLgMeq9J00Vs6MjTs/OGAxHgT7sazoHViQ4obBRPDObHfE7P/4xH33yCSpNuXr1kl/+xZ/xUveYriVNFHmeMSgHZFlO27S8+OYZq/WGm9tbVss1xhjSNKEalGR5ICo6a0K+oSCQSKUiz6AsJH2f4nyO8BkSifKxgDIGJ0x435zFG4v3GhljMJzToDu8Mai4TZEi5l8SmkXvJAJFYNO+CykX8XtRMhRO+y2vIHx/WaooMkleFlRVxWA4Isv3xVMEjrCH7+wbRYfRhtVywdXbN6xXC7zVpEmK8YLFasNmWx9k1vWuYb3ZIpNAzCwGg0PY9H5rebjACVNvbx3r9YbFfMFkehQ28sRr28f7RQbZYR9R8nkeJFfeurhNDVEJ+6n7PmB9/zncwRNrDo3iarFguVywWCy5XSyZL1b0WvPBhx/zo9/9MQ8fP6Qsi7Cl8gGkgYrkWi/AwfXNnK+/eU7ddSTpt5ZIfy1fXV3HrZCMSoY48IrnulQKpES9J9eEcJaJ934/vO8++HP3m6CwJicOmt/lNXreUUptzK3zxkS5v8Xqvb/ZBhBO3GhKwWFL5PaDMilJ8pzBsKIcDRlOJhTDKkTBZGkYYCDxaeBqhK8XPGjeB0+wco5xIjgdpQwzh0IyX235+U9/yvz2lo8/eMiDuxe8vbzm66+eYlXGdrVmM1qCUhjrAo2/79ht1izm16xXSzabLV3fB9mrEGy2DXXdUhYpZycz0kRxfXND2+sw7CoKNruWNM949OgRafqWq+trvPdkieLs5JgffP+7fPzhBzir+fO/+Es26yWJLPBluHSPZhOKPKPtWm5u5uzqhuVqze31NdeX14Cna1pWm5qj6ZiTsxNWi7B5F0KQ5RkagWwdaSYovCLvJMYFuw/E+zIObMI1EH8XHoEhEQbhDVJ4ZCIRMkXlGUmR49IMogIQQYReyRiTJEnjBhoIADDeRbJoE7IJB9IzGg6YTqcMRyPyqiJN8qB+5L1rLQ5og4+7j/FJNYv5gu16FWLasoyyLEnTDGfjxtN7+l6z2+6oBiGvNc8LJrMZF3fukudFbEQDkdWY0GzpvmO32TC/nTNowybTx0EKcVMqCTJ+3bZhCCLku4FLHPwGWFo0lggRI7F8/NP7Owis0awXcy7fvGG5XLFab7m+mbOtW/Ki4JNPPuZ3f/eH3L17QZalhy3+4V4WcdNrQxblV19/w+vXb2na9lvPjW89CRfXb4MHQLc4Z0AmWC9od2FineUVKi1IkzSsV11DoXK8XoEXiCTB2oZyOA0oVznCxsKoN5oiSguMCzdznhc4D21Z4pxBSksqIC8q0rxEEyb9KSag/nWPyjKc9zTGI2yPPjpG245ut8aaFmNrUqUYjGaUaYk1sNlsGBQOLxLG0xllVmJNj/MG6yWtlngyBoOc4SgQpBQt96c1Q7OiXy24efWWy6Zh9uCE7332CfJ2w9fzDc9vt6jzU168eEsiHFmakgFVVeFtCP188+YNi/UG5z2t0aSpxGy26KZBSLhz94jJaMCwLOl3DRvtqE4uGEyPeXRvjPrZN7xgSZr0vLx9TpnnSOG5++A+/+of/SHHytFuU1T3gP/j//k/5z/4j/5DXvz81yRpwY9++ASrG4o8Z/vmml9//TJsar1Di0Aaw3v6viMtjvFJgqot3WLD61fXPPneZzw6PeVP//iXuOycQTGjEArvNDgdZMjG0tRbbpsdbd+CC7KQrmuwPsSw7DJHaTuktyiRI5Ic7QRt35MpxXB6xFAehz/rHI1u48PEsNuuaeUOlSRkWcGwSDkej2k2rzCmZXLnmNPpDBU98SrL6aRgNB2RJymubUFYhJL0XWgQrVd0rePy+RXPXrzCTkucNjDIOMoL3MZzPh3z9votve/xHmrjUNWA08kFeV5QlQUZhEGH95hW47wNPsWmpet72nXH/HJJ03Y8qWv6QYsqwiGpsowk0soSPH3dhO2sNhjvSFNFled434ALO6qQxeTQRkSPlqPdNCzmC5qmZn6zZNv1mEpwenZEYixFXjD73gk/+P7vcO/oPrkvSNKcRCRggySrMzoSFi267njx9A3/9Kc/5en1K4z49gnUX8dXvV4dit0DsEaIgzRKxA1PCEmPkAdELJZ59zHiHVFwnz11kNcIECIUMWI/IEOwD2Hey4XwARATNk0ybiwN3ptIiTRoF8LSrYl5Yi4MHLwnTPfbGmMMbd2QpRl5kVMUBWUR6cwkiGT/PYcH/7vvITx4bSSUSmmi/zkJBYMVVIVkWErSYsBkWCIIaHjrPcbqIG/qerabLev1lt2ujs2iRZsQ2F0WGYMqRGZstzuyPOXk7JThdIrKMqyxNJ2mMyEXV2UFQm4RKM7v3uej73yPk9MzNtttkKQjYmB8gGxkeUaSKay1bLbbA2q+7frwsWL/tw7Fror+RGSkzhHy5PYZb6HJ0sEj6cPDfF8s+L7B6Q5nNT5KUZ0KDZ3HImwfvk6kSHqiTAobGmAfxKFeBHmr96Ew29fjDoeVDu0s2vf4xJIkkrJIKcsgFS2KPHp4kjil5yA9Bo83gZratV3IA377hq7ZhgawKkmTNE7bG7a7BmPAWlivt6zWG8aTCcNhFamhWZRSxz1hbGz3nrTdbst6vQnby+2O7WbDaHIcw60BIVGAMT1t2wQptUrCdnLPXZKBxinwUfYVt+5x62W1pm1adrst2+2WpmmwRqOiPFtri/OCu/fu8wd/8w/48MMPSIscpZIQveJcANN6F+c5QWr71dNnvHj1lk7b3xgH/ba85m/eAHvZs/+N827/PgZolohN+3vRQVK8o6MmCiWTmAkarjcVz8jYf7LXX+whM7HbPBx5e9asgOCjjUuDcEMEKJSNMB7Th22OiWeINRrrLPV2RdfVZOuCQVUxGA4pBwPyPAv3rohfQYES4d6SXqIQjHPFuEgpM4dpa16/esX8ds69e3f44IOHSAHbtmO5qfGi5+2b1ygFKk3C0ENInPdsNyH/cLVcBnUQoBKBNo66bsA5Tk6POD2eYK3hdr5kcnzCg4cPSNMUa7ekUnFxdooA2qYBYDwc8PFHH/D9733G/bt3aJua5988ZVwVDAYDqsEA6xxlkZNnASzUacP1y9e8fHPFZrWmbRqKogDr6LQlyXJG4zGbzSY00QiETCK1NiQCJFlKikD2Pgw4fdhyeRc2+9676CeFkOtrQQZFgRAEqb0QJEURavQkxYsE5YPaZk+83Y+/fDwDAzk7DByUNyFKL9UMqpTTyYjpaEBVVaisQKZZkDYTtp/7OW8Q47hIdu5YrdZcX12xnM/xzjKqBoxGI4QKUXO9sejonbU+/FJpFq+jiulsRjUcgQgsAq1DpJ4xPdYY6rrh+jrQWRGK9WrJZLYO13eSxm2ew/RhsLD30Lr4jN1bSrzYy655p9QQwS8v4ja73m6Y31zx6sVzdnVDUVaMpymDwRXDYcWjx4/4/d/7Xe7dPSfN03d1zF7ZQWiKjTFoY3n58jV//M//nFdvrjD/EhbFtzaLq7e/wJEETXla4GWJFApkGkzptgXRIoXB2o7t5grbp+TZAKvD1sOKkLGSR9OmJ0xfnfE0PngE0rTAOgFFGbLntKbvdhjdgukYDYcUxQAnJaNqHAhEoyEzlcXsFuh7g9EtbpBTFjlKZlgUrbV0mxWrxStMvaXerqjbDUU5YjCckacaqWNGoBQop0iVpm57RJIyKEuUTClzyXHqcJs5i8tLLnc7Lj59zAd371H28OpqyVIrWu9orq9YrC75/R9/xsnxXba3G3abHX/+p39BJwTjoyO8lOyalvsf3ufu6ZQvf/6UXaY4v3PM3/kbnyC6Hk/KV59/xfkPfsIPf/QD7o/GfPnP/oI//S/+GHn/Lj/+9GOS1RmvLq/xwnHv/gXDTKDbjvHZGduNpt41fPLkIc/+5K9ChuLbiuGo4Oz4hEYs2ErPpu7Z1Q3aQTke0naaxXJLK1IGwwpdW6z3nJzNSPqGVy/f0FiPtppms6A1Ft/39KZFh/khptc0umPbdWw2O7Q19LqlKBJOj0+QKglNm3dkqQQvSIQiMQ6MpjFBApllSXj4s9fSC7wNDxK72zG/veWNrVF3B5zONOOTGbPJFClSZF4E36e3JOWQVKWgNbZv0dYgVILr+5Cxdrvh6Rff8GZ1RXlvyqff/5CsF5i6Z7fc8ezVS7brNb3uEYnDCMHsdEaVpwyrAUWSkRDz7EQoLnsT0MwC6HYdq03Ny6/fsM1gklbMXzynm284uXjEaHrEYDwmcbBaLqm7LdlwgBIJpmnRRmP1jjQLNEnhYo6UsZCA6UIYbd/0vH1xxfXtFSY1lJMhx8NjHg0qMud51iY82K74zh98wuOzhwzTEd5CKjOE30/xQgi6sxbb9HS7jqffvOLp5RtaqwN147fs1dbBoxVUqHspqjz43sSe7hehJURfzSGMWQSpVBzjsQ99PvjNIFo3wrUu95uMWIzFcXlE1IcHn5QJiQpyZmSQ3u2lO9bH8OkIB+k7Q992gfgW/Ua277BdR+tjdlWaxaaiCPLMLOR47QuqREqq1GGVjwFGwSOpJCSpJJEJXnp0q8FrqjJhejJlPBkgCDmDxu+BD5rdbkfTtIFWKFVAhfuwSRdSUhY5ZydHDAYl11cCoQTT2YQ0SzHOs2s6tnWLQ5BXQ0ZIuq5Bqpx79x8wnc1QSmG1ZrtZ07ZhY6LS8LWkFGht6LuexWrNcr1GGxMJpioEdrtIbw1/3cNGz/nwyyNjpIil15rdrqfpXChWbQQ/6R50CzYQ7aRwKCEgITTkePA2TNwPFE8ZPTw2+IK8D4NUIfAhcwrno5/UEf6dMEg6HH0gnRYJ1bAgzwPkYe/HCsOF9+iR+OiXMezqmtubW26vr3DWMJ6MKYqSPEvw1tL1lqbu6XuLQ2GdZ7Nt6DpDnuUMBsEbpFS4jt1+a064zvtes1qtmN8u6LuOyWSMs4bXr16SlxUnZxd4VDCHoejblq5tGA6HhwHKfpMlZUT9R18PsbDy1tA1DfP5nMV8zm63Q0rFcDxmUA1gMsGrlLfXN0ymHb/zO9/lww8/oChLiLE2+ChN9GB88JVZ45gvVvz0F7/m7fUiFNa/hTLU3WoZgCJRlfKuSdyff6HZJsryVYzH2G+qVZL+RkSQjIVt2KAEc5UnNqNRpg2/2YSGwZs8xHEkSgXJvFIkIo85e/u4oXA2hiogeIN7rWm2IVy+qXcxOqCl2W7YLAvK4ZDxeERRFLHuDE3A3jbgrAevScoM6YN0fv32kvVywSefPOHh44fkRcL11S1vr+Zs64bj42Omo5LpMNDZvVCgErZ1y/z2luvrG3bbHR5BlgUPr3MGJQWz4wmfffyYi9Mjbm4WpHnBhx9/wsnJSYBz9V1oEIWgGpTMpuG+KfKM4XBAVQX4nzEapRSjYcV0MqYsctbbHV0XMgCzPMd5z818FQaIxqIE5CLcq8Y5VJaRliVOgIm5qto6tJe0Blon6H2IuNDO0BsbPk4HT6vb+1iJrg0sCE0iOxThlxcWkajws95/De/Q2gfFkguwMylFHBSF6JzDAAMHrqNUmum04P6dCcfTijxPw3UgJIi9NH2v2vFBnWMMxtgQiXRzy9XlJbv1GpUohtWY6XhIWZZ02gblYNejjYsANhgMKqZHR4zGE8qqIsvy0Cja8Fztupa22dF1LfV2y2KxZLlckyQpeZbStTtWixuM7snKijQN8vquqTG6pxgOwzMlqoIOmiSxl+W+g4AFgCf0XcPN1TWvX75gsbhFSMn53bucnd8JTTwwqCo+/fST0CimyaE2OfyK/xwsE5bttuZXX3zFr774mtWuIU++/az71max9zGzJqvCxMFaDD1WKnKZ0fXbsCpPE4qq4Oj0Hl2vSQcziiTD+5DJ1RlH7RwZChnXn1qGh6VC0huHNxqNRusGYQJZylpNlimu1w1urYAEoa5RSqBMR65gNJlSjU/ovUCasMW5MRqlSvJsGGhGt9+wWL7EmUBs1c5gvcZiGVxZFtqRl2WQvShBt6tptMdnEttpjs8v+OHHTxiaNau3b3n56iXH3/uIj588IWs0i6srruuGRduBgg8+O+bv/c0nXExyiqSjPx2xKguuzk75R//J/xUxGCC8wwrPxfkRaWuoBgOG4xH3H5zwwZNzsk3Dq6fXNMs1n3znI6ZJyq/++E/543/+V9yInu9/eIfEdNx9cA9r4c3tFZNJhfOWajbh/PSC//I//i/4/h/8iNtXr3n18pKnr19xu7rl3/yH/4Dh9ISf/tV/zlUXqE/FIGc8qkiyBO8Eq7phvjUsR5KsyBEIXr98y+MP7/P9zz7meg3d65aVNWyjcbs3JngJZEpWpYzkmFkSCFBNb2j7Fp8IjvKcY7tEuNCwKZWx6VreLFtUMcDj8Eqy225obU9ZDKjyAaJtafqWqhwwHFQopcgyie4Mg2nJ9M6U06miUBlWG1SaUd8s6YYFk8EEYX0MZe7otAbraNYbVps1u7ahG3vuP37E2emM+yen5J1i7VfoNxuef/ENX796SW80o1HOnSdnPHl4wfFoyLBISbwkmGg0vdGQZSRJhltvWa/W3Lxa8Hw1Z3JnxuOLGaeDE+y65+2rX9J2DUebC4pqwtnxMU29RqXBz5YlGf16Q9utIOsoU4WKxEbd93gsyivazY71es2m3vHs5UvW7Li4c8bFwzucjk+QRmI2DTfVgvN75zy6e5dhUuFM1PZrh9c92uogWYtbq7ffzPn66Wt+9fwlu67Dx0L/t+0lk/eOwv12jXch8Dgbiqj/FzriYRKPiKCG9wQj4r2NZFgxHgz++P1Hif0IPo5ZohzMA04EwI2SSBnhNio8XGWSHnIcvYsUzP20N2ig8UaHgYJ16DjJbVWAegVJoYpbM0mSSIqs4GScMkkK5CA2mImI0R8OIQyQYKynbjryomB2NCEvUywGZ1usFzRtzWK1imAAQ56lFFmK1hlt09LGJno6HnL34jQoDbYbrPdh6ykCNXi92dB0HSpNmY5HDCdTtLWkKsQ5JBKE13T1hvX8Gts3KBn0byoJ3pXtbhcamM2Grgv00jzL8CLkGmpj0DaJP7/4RsT8NucFXqgAKMBjnEFH/6mNEiOZKFKZI1IVNiLeIaNXJxWORDiEMyGoW4aGXaUxWHnvH9nLKglkVGLB7kWYvbvYABpnUYllOky4OC44mqQUZRqvjzCf3/tg4pUV7mMbkP7L5Zrrq2u22wBwOD45YjSsUGmKFNHnbGHX9IECGuViKknC82k4pMhDXMjhPokyaoDtZsOb12+4ublBIBiNRozGI5yD1XLOl7/6Jd5axrMTkrzE4anrHVrrSM2MXrCDzC3SEkXYtIfsXs12s+L66oqb62ustQyHQ2ZHR4xms+B7ROKl4ujymDRLuHf/DlmRIhSxII1eNt2HoWbbUu+CVPCLr77hV7/+mm3T0mkTyJi/ZS+ZJHGDF693otSdMIQM290wsBCSMMgX4rDxJSoDpA0RWe+kyP4wqHAHwq6L3uy9d4vDtnx/VgpE9OBKhI9QKCkOBS9SBktTEv45AFfCRr9pO3rdx5goiyESx9uGrtkFgm6SRJhT8Jg5rXEOyjzhSJ2xzg2mvsZuVty7f5dHD++S5gmL+ZLnz15zdXlDnig+fHSXTz96yGA4oDMunHW9YX4756uvv+FmvgLvSVSQwGcxdP1oUvHxh4/4+MNHCCG4XWwYjiY8efKELA1b7t1mzXK5oBqOGRQFd+9cUJUlSklG49FBoq2Npu87EFA3QR6+WK7pjUHlOV4obhdrbhZLvJDkSUI1CHEzrTVYbw/KmD3Z2JjQEPZC0juFJsHIFBdFFkm8LiRgpMBLddju7zeJEPJjPRrQsYlUoUk3Du0tvYNee9o+bLX2wpqDHDU+j6SSKEIs0MWs4sm9Iy6OBmRFiMEwJgCYhAobURnJLx5CDIXWrNdrLt9esZwvQMDR6XFoEvOCNEKT1tsFt/NFoHC7MIDI8pzZ0YzRaERelKgkxF6EOJ5Qc7Vtw3azZrtexwzDmrwccOfOHY5PTsFbVvNrdNcyms5gMAr++6bGmkCYTmSMudo/d6Lv1x9ukOgD9o7tZsWrFy948fw5fddzcnrM3YcPOT47J0tz+r7n/OIMay1nZydBeirfG87EYWQU+dLUNZeXl7x+9YYvv/yGq5sV2nqyPPvWc+Nbm8XJxQ/D9C1uEmSSoVSKc46uXmP7Pl4OAms8tq0piwHNao4xmiRLyPIhSZpTVRWJKugdKGx8MAQ5kDEOJwVOOgbDMcpBNphgdBc0u97Ra9C9i14SgxcJtdXU9Y6JCBea702UsqQY17O+/YbNZoVPBL4skUbiTYJ0nmwwpOkMz65vSaRHbYO0okwl9XpF03U4AYiMTd/wZOpwwlDv1px951N+9MPvw2rHerPlarGiUyXGriiGCf+zf+Nf49FQkQB6ecXtVcNVk1DvaoSHbb1henLE2ckRr5+9BicCJtf1TAc5dlGzuF7y0189ZaHCOv+rX/yCLkv53h/8mOTrV5yfnrN8+g3FYMR3fvx9fpAkzE4qikHFyWxCe7vgr/75T5GF5P/xj/8rbtqOtCiYHZ/wX/83f8adoxNabdgaw/F4wGgypBqW5FlOQRLpV4LGBm9Hby1nF3d4cP8+18/fcNsklBf3uSuLQCTzFitAeUFCCDLV3nGId4vSES0EA2tQb99gcCQiwScZ1elD7g4FTduBDDKV6XiK9wEwoVxA4WsXkN9NrymyhDwpePzoPr//wZSHo4xyL/lSKXqzZVM3DO/eJ5MS32t0F1D+9a6maXas10uW6zWD4yEfPH7M2eyEFIXqBM16TbNds9tsuV1vqI3GeUc5Kbh/95Tjk3Oq4REKhWlbnA+TaKt1oOR+8ZrFbsV8ueDGN3zyo4/54OI+pRpgWujLhL4oaHcbdDUGa3hTr6DfsNuuKEf3yNIc4wO9KxdhwODNHjzQYbwl9Sm91syv52z0ltHjig/uPuTi5JzhYEpqM7b1jnbbU/cmFFTa0u06vAhkRm26gPp2HV1t2G4abGv5/FfP+OVXX/Pzb76idh1SQSp/+3w8xXB4mIS793yGsf6Jxc4ebLP/l/uRZvwkUv7GphEJAon0IoIVxCEyg1g84d9NU50jbqbfEQetcwgDUtqDSjUoShT+vckhCPad6D4mxRkNxkboSiy2hUCIJHoqIwxCBILqLs2QtuTh0SxgyePWUcRNufAhF3e7a9nuGvJizHBYkiZg0diY87ecz7m9vqbebCDCZhKlMIlCRBiJEILhoAjNYZT0JokKmxxvMSZIffCOIi8Yj4egUupdIAUOIqAkkZK6XrPeLPHOHaSkeYS77JqWpm7Ybmus84zKnMGgwDrPru7otAm02Fi4BihH3HAh0E6ikdiAWSWrJMkgUj+FOujohLfhmrHRt2N7MB2+q3F9g/SWIgtgN5UW2Bgmb7xAeon16vALmYFI2XtXBJ7EOUZK8OCo4qM7KedHKVkSKJD7ZhNnENbilArnrnNo3bFZr5jfzpnPF1jnmE4mHB3PqKqKNA1fJ0B5oOs026bDRLBCWRY8efyQe3cvqAZlkOkSrnslBMJB23Xc3t7y7JtvuLm+Js1S7t+9y50750ymRwSr0xsWixWXl29JspxKKrSTtE0dfKKRmrj353ofg6ffi3LQume3XnFzc01TbxlWFePplPF4TFFVJHmBEAEckpcl5WBAkiiqahA2MibBybDNNb2mbWrW6zWrVQBF3M5X/OyXv+bN1XX4+0sZYoh+y16z09MDKGO/9zucYVEpKvb/I8I5oSJNFN6L/InS0/02OyhM95m0++xGd4i68PFM9VGKGl77/ybeUSF9iG1wXh8k/iqxWGUOQxTnXQgxNyFL1RkThzUgohyyEUFZIHDorqXZbjERkiJQDKoB66Filw3JfMvpyYwHD88ZVAVt23L19ppvvnlBWzfcOT/mkw8fMB4VB2hJ17a8en3Fn//FT3n58i3WOoo8Ic9TijwAtrx3lOWQu3fPybKU29sli9WG0WjE8dEs5uuFuAYpBEWRMSgLJuMhd85PyLKM8/Mz8iJExgQv4pam1SGSyFh2bU/bdVxd3+K94Or2ls2uQSUpaaXCsK4s6No6vO/O0vc9XdfT6Rg95ARWSnySIShJyMmlgNRTRoWN3IOsolXCWhcytW2PbZeIxiG7lsQHQFGSFsisxKYFngyDQMlA1HYy2jCkRCQq+OhV+BpKQC4td6cjPnkw5vyopMjDdrjv+9B0WUdeDEgzGedVDtsbdpsti8Wc2+sb+q5jNB5zfnHBdDohTZMAcorQm9Vqw2K5eU/ZI7hz5w4np6fkRRkjeohAuRjLo3vqzYbVYsFmvUZrw+nZOU8+/Iij0zOcc8xvrlgtbqmqUYQ0BVp519Q450KethCHZt3twQT7+88D3mG6lvntNc+fPePm6po0y/nk0095+PgRg/EEqUJqgG2CxaMcBGly+OP+XbpQjKrRfc96veHLL7/m1cuXdJ1mPl+hOw1Ishg18i96fWvVVxYVhkCIUwqsbhH1gr5r8X2N8z1OpFinaJGk+QleFGSzhMzpaGCHprOYXU2VGwQe3dbRO7EhDy5qsvGYYnhKkRa4OLHpTfCAZAm0fY/VQXYllAirb92RqYRE5QwGA+ywwFhwJAgShsM75NMa3S3o6hu8DLe5j+vmLM/AK9A91mm6pibxCVaoQG2SGXhJX6/pmiWdTZg9ecD9Ow/p316he8922fDVVy953UpevVkynAwoMovpPX2/ZXW15K/+7Cu+2El2nUWMSx6cn/I7P/wOU5XzT//Zn9BKget7MoJkYXFzy89/+pTXfc/dB+e0u4bJ6TGfnl/wZ/+3f0J7u2BcZHxxfUt+J+Xu8Yw8kVR5zrSsEHXNs198zmpdk9+/T3ezJK+G/O/+t/9rzHLDf/Z//yf8o3/0f2HdthyfzTgaDijSFNtrkmFGs2ghl1ht2bUW2xl659gtt/zJP/6nHD/4AJ+fk+YDlFcYY0DlOOPo+xofC+IyUUG77hXW20An81DUa3Z9TRr9X5QFRiYMByVVOQ6eAuHprKYzgTS4abYkKmFcFGSDAcZZZJJQpI7PHow4H+ckvsdrE/IKhadZbFl1HZkVdHVLt1nTaM1uueB2PmfX7PBFwqPf/YRZFfyMicyQJsg7bWfosJDn7PpwMGvp+M6PPmA0mVKMz8mSAqFNyGhTHuUketsxv13z4tUbFmLD2UenfPrgMy4mpyQ+w7YC7TwiTcmHY+SwQsSAYiUUq+Ut6XRINZqCARRUwxJkME5r3YTFkxZs1jusbbl+veDFzRtmH0z4+KPHHI9OyJOcQhToTqObhrppaLqGOw+mHI+mkSjsQnyJE3hraDY71uuGl19dcb1ZIKc5Dz+7w/HTb5jv1mGKrNS3HRt/LV/FYPRekfOu4Nnrqfb9mIiDs3f7BnFouJB7uiiH7eTe5yPjWYiX7/1p8ZuFWpTseE+Eb3i8i4WYsIdGMVHv/HT7z+V8CJl3WiNViOAwhM8nnHv3Jb3DexOANsIdQscDsdfTNQ5rK6QswiaU4HGwNkyWu1azWKxoO8N0NogGeg8+wCeaumExn7NdrcMUVakgHjvQZEMBKaSk7UKen1AJxlqG1SBsrZzDmR7hLXkiSVJJkYaJ86DMSJOcoixRKsQz1Zs1XdugkoSyLCiLgtFwiBCw2W4jgj6054MywFl6rRFShkLTheZ7X/h67+m1oTMOZaF1Cb1UyDJ4BKUKWHWIK2MhkN7GfDiHdBp0g222aG/QpicRknIwpBiOkVmJF0nwd3qB8QpHgkNhUDgnsU4eJs7CGwZoLsYlH9xJOZtBmblYMBv6XuO8J0kyskKFM9WDNT31dsPtzQ3r1ZpEBpz67Pjo8PNTMhJgnUC3mvWmZrXe0fWaajDgs08+4kc//C5npwHMEW6HMCgxume1WvH2zSW3t3Os1pyfnXF0fMRsNqMcVMgkJ00Szi7uUlZbRuMQsyIAo3u6tmMfj3GIn4nAE2dsaAh0f4jEWMxv0F3NdDphenTKoBoGX6MK0mKQuOhVAs9wWCGVpG3r6A8Caw1t07Berdltt3gPaZowHIXs5j1EJS9yTo6P/v93yPyP5FVNZ1Hitt+m74+rvUricHzFZlEcpPnhX4VzJ1BM31kSQiYrcSvsDrLA989UFzfp+Hch7D5S8znUy2Ewp+Q7K4CU6l10BqE5MEqG5seHZYO3iiCdl8gkRaYFJGEL5unDx2obmMoSMukoM8FokHBneMz5tCDLUrQ2zG+XPH/+krZpGJYpD+6dcjwbYvuW3sHV7ZKvv3nFL379Db/++iXaOKaTIeenU4aDINPuO8OqbbE2pa5b3upr3ry5pmla7j98yGBQhHOw7QDBZDJiMoxSSxG818OqYjwZx+2o59Wrt6w2W7KiwBrD6fEJH306pW1bdrtdiGjbNnTaUKiEvMgZjoZkWVBPOAG9sTR9T9v3GOdwXmI9GCROKjwZngAJKhJAqrD1i15VFeXDIvq6rdN024T2ZofVK5QFpRLSvCQbjHDZCENB5gTaBrWChxhnIoO6TIIQcZtmNZPc8cFJztk4JVMibD+7hvVyzma9JkkyJscnAYjlBX3XsVmtuL2ds12vSbOMe/fvcnp2xnA4jOecizm0HtNrNusNdZT+CgHnp8d8+uknDMfjw8DQ2pgv6Rx927BcLLi+uqLebVFKcXH3gscffczx6QVOSJrtFmc9utOYtKfverq2RSlN2zSHoWjc54f7IHrfIWwSrdHUmxWXb17z+uULdK85Oz/n8Ucfc35xQZoXOIJlyFoTFGWbNdPpNOSUiz3MJtSx2hg26w3X1zc8f/acN2+ugmQ2D9dpliYkMmE2GX/rufEvWRFYMgUehTM9aZIhiiFpkZEbT5kHg6nw4eJAeOgNvm9pjGM8GJAqYGiRrsV6S+s8Vg2p8pTcTumMweNY1zs6s8CWE2SakilFmVbIVGG0pio9jZE0bYPuG7I0pRqmeKFIi5JUZgxUEkLU84QEyXbbUTc7rJ3gZ/eCVAGLNzu0biNt0OLyHKNrpPI0zmJFicgjZMd0eGdobEsyPObO2YzUN6zrLdvVlpfPr/mTn33BH/47/zbn91tevP0VWdfR1C2L5Zqf//Rr/vLFLa82DdXkhPuPHlBVBbbz9APFxcU9rt68xZoaLQVvXt5S3jnlyU++xx9VkqudZno85YMHj1n+6pd88/IV5QcfQ6eRwyF5XmJ6w1E14uzkGNpwQ/3q55+T3T/lf/m/+Pf5T/73/wdub1oenZ/x5796ypOPn3B+fsY/+a/+KdL72BQFEmGRlMwXbxnkObgA/ZmvNmxag2wa/u6/9Q+o0iH/5I9f8qLv8UnGaDBikKYo6anKNIBhhMJLj+97mt7Sux6EoEwU1Nco2eFQqKxAZWPywRjr81DcCkUOlF2HUQanEo5PTun7NkzT8Mh8QJIq7p4o7pWGzBpoW7ara1xbU29arl5fUv7kB5imZ77cYF1P13Xsmpplt0WOCmZHY86Oz5llwzD5MQ7fOzbzOc1uw/Zmx9MvXrJodvQ4fviHn/GHf+M73Lt4SFFMSbwKxNeuZ9PueLPcBHiR8gw/nfL4zoccjyfkMiNXBb6H3ltcER5M3ilENSQvSsrphFwkbK8vaesGITOKsmRX75BKBJ9v36H7mn7X8OLpWxrRU6SepoQf/J3vMhtWjMoJRV6hSOm3HbrVWG1pVg09hul0SC4VwkFvuxDpUbdsN4GA2Deaja1JLyq++zsfIRaCV5/fcLNYMu+W/O2//7f/JeXIX7+XjB6sWDOx/03EUbsApPQHpLXY/34opsKf2cv/9lN5GWU2MpoWAyhg33m+Iw3uv87eqK+EQAqFIDQxUvqIFw/0uEAyDA/54AkJ8RZaB5R333X0bYtuWkzXxsD6MB19twWIxZ4L5FfvA8nT6jYQPwWICHLRpsfojpurBW8v5/QmRPsED+We7+3po4+jj3EU++LbGkPbBn9I35tYwLdsNptA+U0VJ0djhoMUgcFbTSI9eSpQCjIRpO6DVFINqwMO3PSGer1BWMuwLEgGGVVZMp1OglKkLMB7uq7DO8d0WDEaDtg1DUoQKd02+kRlgAL1GuqOXWvISkFtJZ1P8UmGksl7XiqJj9cBPmyRhbdIB2AROsF4EM4hEhUaGpUiZBp8zYgwpEECKYiEFIV1IEwghTpLyK7NBEejgvHAk0qD1d1BDbDd7rDOU5RDID0svXXf0XUtUgpmRzOqashwNCJJU5QMuZyh0Y9kvK5ntdnRND0Cwb07Z/zeT37A/bgVCVvM0MDqXrNeLcMEv++5e/eC46Mpg6pESBW38UHCK5OEajxhNDliUA2DQilJMdrTax2H+vLdJipKvnrd0TU1XdvQNQ277Rrdd4zHY46PTyiHk0O+qCMQM8FhdMduu0YIwWBQ4p2nbVt63eOdp2lqNqs1XdczKApGo3FonJOcxXzD5796znbXM5tN+O53P/rv9uD5H+AllQoXSJTC7RtGCI3aO6noe5L6/cftt/DvNYwibpz2Q7N9w7kvwt999kOJfGggD5tH5+N5BMLHyAUpo9c7EoSlip7f6PE1mjQvyLsSo3tcjHSSUiKTjCSN3kJvUUUFSYFuNgirSYRgMq04mQ65OBpzNpKUWdhYrhdzfv3Lz1nezhlXBWmqmE4qTFczv25YbWu+efmG529ueXt5jXVhKPHpx495dO8M4S3zxZJX2xt2dUuSGC6vb5mOR6RpwqOH93j85CGJCmukvg9cg9Gwoiyzg8ohSxMG1YAsDY2b1pq3l5fMZjNOjo+5vLrk/OIOH370EULA2zdv+LO/+Cv6PiQJ5EXO0dGM0WgY4CragBeRSB3l9CZA03rr6ZAYUoxQuMgCPyhXRMy2jMNTz95aEbKDkyTQlyOWK0hxi9As+myMISMn+GAPXtWAeQ4DSx9JuLYnsZ6TgWc2kEhn6Nse3dasl3OW81varmM0njAcjzB9GlQimx3r1QqjNZPplNOzU46Oj8mL4gBRCrlTIaap15q212jj6LuewaDkb/3tv8XjDx6Hv4f3YA3OBCVC2zQsFnMWt7c4a5keHXF6ds7s5IzRZBagMdYiVMJoekRRVqRZRlKETV/XNnRtQ5qGa/hdlmzcWFqDcBbdtsxvr7h885rNZkNeFDz58GPuP37CeHYMUgavvdWYvme33XJ1eYlzjtlsFrzr8b5z1tH1PYvFnDevXnN1c0vfGx4+fsj56RnOel69vqIsvsR4zweP73/rufGtzWIiPX3X0PVNWL0nBRhBZsCbmm5rQkiwsaFJFmn4Jp2m7zYsrtZIBVU1JgGMg7IakeYCqRW5ysmzMME+Hp4ySDO0VBgdshQdFt9JsnwAUjLOJNNqFLJfRNhwFFlCnpZkQr4LlNUdzmuG0iFTjU8C2r0XHc4LVJJg5QArEqwFEkGRgrItbd2w3bV0LhDosDtS0XEyO+b06IjEe9pNw2qx5uZyyVdvbrHDitXVNU9/9hX3Pj2m39Ssbpc8fX1NdzLi73z6gK9/+jU/fVVTZFPKvEQYR1e3YA31boOzGoQnnd3nye884Mmg5OWvn3L6+FMe37nH21/+gqe/+or0aMzjx/fo6oaTs3OG0ymjIsUrR5kKtosbFtfXvLxZcnznFF/v6DYNv/Pjj3nx/CXZuOSjixm3X71E9D2OEXI44OL8NJBC+56r20W4AKxllHpE4uj6jjwreParZ5jiPsN7n/LIKpqmpmt7mnaHUg7TQZYkSGEx0XOVZgrpc5wFYVqa1VtCgamQKiMtJjgdA8l98EnUVuOki1MXQ2olg6SgSmNmjADnDVkiGOQ5olnSz69p13NWN7cstiteb2o+9oK+7UgTMG3PZr2kw/DBDz7jaDDBaUPiFU6b+J7UGG2wwqK142rRcKsN66YjHRQ8/OAej+88YJROUTaNYa8bdusFm64jycIk0w4E3/3+J5xVx0gr0a3BOk/X9Wxbw8Mf/IhKVVx99ZQGzfj0nNnsGFc3vDYeBjnVeBoaBg+ubemcxmxrNqsVdb3Fph1ZqSiHOecnR5yfXFCSBZ2PBm17jDO0Xc9uW1O3DelIUZYpzmiMlHjd0+0aNustt4sdnTBkk5zv/q3HnJ1dUFCy7BvGgyFKJUzuHPO/+t/8R996qPx1fPVtB4QHYNj2+UOGHnEaiTdhuGRNDBWOEioi2S0+CFUkXgolQjB1tidUJkB8EO/lPCIGdOyzpwSHnLFEpSQqOXgHlZJIJSKRNUQsWB/gLMZF/Le1OFfhnMH0Gt326K6NOZ8WGyVbzgSqoIvSVekN1vakCWSJQ8kARvDW4kwAjq0XK16/vmG5bELmWZqglEcoH6f+Eryh71u8dyiVIaXAWUuvDU3f0+vwdVMpKPKUUVVSVQOEHHPv4pTRsCCRoVnOkiT8TJRAOI2UivGw5Oh4FhpDIeh7TV83ZEIyHg5QwjMoo+0hCZ573ffsNjuMMQzKgjJL0X0PDvoo53LW4xVxQt+ifcam1pRjRWslBsUBqAC8v4XZS4oFRHpujH7wPm5TLek+iCWGmu/9itYJLGC8wwkXyKhOYKwINhbnSSBGZISfg25rnGlo6y277ZrtdgsqRYiEotIkLsWL4M8ripIsy8IkuRhE2EeQFIqY6bX3czVNz3qzwzlPVWR8+tFjHj24Q5qEcktri3P6sEHuImXxzp07TCYTkiQ0fNb7mJ4gD3LuLMvI8pI0K0JTIMUBlJKmadxaepwLz3Ddh0ax3m3p2pa+b8F7hsMhR0dHlMPqkMUnZPi52qgGaJqazXodiu3BAO9dUEP54FkPMKSWsqwYT8eMqiHCC7Ki5OhoSpErUml5/OCcP/ibP/nv7Qz67+vVx23uO4+hjRAhogzfvScpfecfxb/bKr9r4GLGa5oGUEnM3dyfUftfIKLw4h0gLDSYsXlg/+9CrIyCw2AOOAy3XGxU9l67JM8wZYHVgYxK3FKLSDTeb6xVXpKVA2w3wbY1ymqOZiVH4wGTKqVIQ2bgarXh6y++4vLNa7JEkKXZIZNus97QdjVN1zPMFffOZtwsNuyajrOTMU8e3WVYZlxd3/L2esnNfEPTakZVSlUOuHtxTllkTKdTRuMJifA4bejbhiJPoyw85O9Z60gSRZ5l8ZyV4Rm+3XH3zh1OT49ZLOfYKGtUsTkbj8YMhxUOz2Q05Gg6QUhYb3fUka7uvQ33mdH0OtCmW+NpkGif4GR4TgkhSfZy4/3PU4SBZ4z/Rcj3cjbj+6SkJElz0rwiyUpsmiNdgott2z5XM/jC7cGD6p1F4kgVDFJI0Oiup+9rtusVm+Wcpgm563v6rnMGo8OAKS9yRuMRo9GI4XAU/cvhtd8S2tgga20wMQ5KJYpPPvuE3/v936McDOj6BuGC5UL3Ic9wtQzZmVmacefRXU7OzimHI/DhmSGEQMXn9fToLEhNpQpLSRsk713fUhZFgHa9m6AEiX1b0+52LG6vWcznOG+58+ABd+/d5+jkhDQrMC5IYp0NbJaua1ktFtxe3zAoS8qyPNxXzoVYl9Vyyc3lFX3XcTybMZnOmB3NKLKM3a4OwLIk4cnjh/zr//q/9q3nxrc2i7rZgUzIyzEyybDO47oGW6/DGhSHVQq8Cg8UvcM0N/TNCmO6Awmq314jnEMlKZtlSpKmpGlGkQ0oB0OETNm1oQArBhVpWmKsQ/ch+DTLGhQB8ZxnBWkWCFZJliAow0M5Uch4k3khSFWBkJCg6I0mKTJ8qultoN8J4ZDOk6SeNIXUa7wo8EWClzmlF6A1+WDExXHBTz45YiR36O2G9fUt129ueXaz5uzD+3z23cf8+R//mtc3l3z/x/dYXy+YrzdU94/58QdP8NcrXtaOruk4vXuHh3fv8Yu/+Bn/7Z/+JdWwpG92SA8n96b8+HuP+Gg2ZPX0Na8bw8NqyO2zZyzWG44/fsRp21KWA65WC0zXUa9XZIx4dHGHfrOi61rykxNMlnN2fkxeZNS9psoTTu5ecDQY8uLLp7yZr/n+H/0Y31tmp1OqRLFbNSxXO97c3DA7HqK8w/Utum7pteXZN69Yu5wnP/kE0xlEJilGY7IyTDqcs+TxWYKUlEmAvnjncQIy55G7GuM1TiiSLCEpSrwagEgQIvg8nTYhZD7mGHnA2CBH6k0HiSJLcwal5CTLEastm9VbqNcsb265Wq/plOX0+59wPJuhOhlCb/GksxGT8Zjz0zNyn9DXDcp5jGmD9M0YmtWaHoMoCgbTKcWwIclz8swyqsZIVSGTAq81XdNQ77bU6xWL7ZrJg7s8+N4jkixhVk0p0iFGdwinsbuGvm5Z7zp6YzmZTjh7+AHLxRWpB9f23L58iXYt5eSULCnp1hu6fovRLV27ZrtecX15Se1qBqdDHjx5xKwY4Y2jTCuUTTB9hzUdXWdCvEbbsJ5vuFmvSc4kwywJlEzb0W3bkKO4XVNjmN2dcufuBUf5EO8gERn17Q3X13M6q/m3//3/gA/uP/j/oCT56/XSUbbGewUScctxIMCZHmt6rNGHRnH/8fsp+v7BKqSKIJoQ45BkSci+k1n87/HjIuUvTODfTXKVDFh6pUIhkKUyfI4kNqNpcij4fQyHl7FB8FLhkSQqCcVOWYRgbRv8i07bAHrqe3Svw9bRtCQaxpViOhwEkJIwwefoDH3bsl6t2W5jM1FmDIqcJAnfi0pzlCYAAOoWZwOkQonQTFsbvEX7APVBnnLn/ISH988pyxKpBCenU0ZVgcORSI8UnkR5IEBiUumZjQeczoYUioBWb2u6uiZNEso8RXh3iI5IkoQiz6kGAwaDgr5t48Y2Fiw+UDDb3tAZS6IEbdtSNw02rWiswBtJZ8M03hOeR35fAMtQOIX3/r3i2zlwYWJvbQBveK8OjZm3gS4dKIQC7RWWkP1msFgbZKh4jxKONPUhV9Vr6npLp5f0uyX1ZkXbtljnKIbDd/EsMpB0lVJkeQ4+RoqoNF4v+6gEgu/IWpq6Zblas91swTsm44oPHt9nUIakWucIoJy+x+jwe5plzGZDqtGIJM3whCZD4dFdh+47tHGUSUaWDwJP4L3iHzxShO8xhFKHn58zGt21tE1DH+/LoihIhxWDQclgMAj2hvciTUJRFrxYNzc3rNdrJuNhkO9Zi4nXfMjF68nznPF4RFkUSKVICA1LqhLwjtm44vd/8rv87T/8m/9DHEf/nb76rgvPaG/fyUPj8OggT3XxvPDuQG0M4cF776GPW8VwLakkQaUpaZaTpKHGU0n4JSK05BBDFInSoVFUwauswlkoFdFDvZegxusCH6Mb9lLYQBZWai+jlUgXpHx7Tche3eGI93vqwyLdGlLhmI0KTscVZZpgTct2s+LZ06/ZrBacn06RSBbLLYvVNt4DhiKTnB2NqEYj1q3lzfWc28WSUVWQKMnry2u++Oo5l9dL+j7Amo6PJjx5dI/z02OcD9eyUkHFYPtgf6oGJaNhSVBn9CCgLAJ9OElT0iTISBEwm04Yj0fkeRYVDj4SpyVPHj9kOKx4+/YtaZZSFAWr1ZLbxYpd06KwJEmCjVJtrQ1NZ1jVmraATiU4kYBQsVHcWyzek9sQbBKC/TVhwGmECwNGJcPzQCR5iCTrDK02dL2N6j53eG8C1TR8XqWgTGA08GTSI2xH16zp6g27zZqu75BKkZUFeVmEZjFei2mahGiowYCyKIPUPQ4tgk8z+p77EA1UN10EhiVUVcmnn37MZDbBEjbdtu9p6h2L5YK6bkhUUN6dn51xcnZOmpfY2Cg2ux3ee/KipBpNgtIxzaP/0KE7d4i8EoPQnEopsCb4bpvdmtVizmqxoG1riqri/OIOJ2cXVJGc6rzAOh+I43GQtttuuLq6oq63HJ8cBU+mNRhraOqG1WrFer3Ge8f5+TmT2YxBNSRJFF3Xh2Gzc9y5f5d/59/7d/m3/uG/8a3nxrc2iyLJwkNNa+gNpq9x3Zo0sUGr7AVCpXjr6HRL1y5wtkMmJSQlEokX0SMje7zrcH2DbiWNEKy8RaqEspqRFUNQJdutBr8gy8fIbIBE0XYt2mqE8KRdHaA6ToeoC5VS5gPKvEC4FmFC5EUxnCK9JA1aKmSakViBsuHAUEBn32WCCRTOC5JEkOJp2x3W1ghdcDQqeDDw2NWC5eVbXjx7zVvvePKjz3gwHfLyZ19wfXVLmifoeoMZTnn4nfvcObvArnuevlnyYtnQtx1/+c/+GcXf+JtsVuFNbJoaKSCvcr77/Uc8mlRsLhe8WjYM7z0mUTlWCR5/7yPab15wfXNLenQfYyxZljOajMnLAu8cndPM7t2l27TcXC74/b/7r6AbQ9MYfvJ73yPre375+Rfcti2Te+f8q9/7mP/s//QfczIdU1jL9nLJ829ecrXa8MmTM0oMwnZcztese810MCQ7f8C86RiUFakL2X7OBKSy8B6lJLpr0EoiCAWLEgJhDEJYUqdDZpiSJGmKUAVdZ+nbVdCStw27rqPtdnR9S913IWw8SymUxHpPUlQUA5hMMgq9xuolpl5jupZ115FMBxyfTTm9cw/VOXZ1R+001WzM+cmMMskZ5AWiCwcGvQlehL6jdwKkpNt2vH624MXlCiczTk/PMJtrhqMpWTbC6YSua9gsl2zaFZSK8fCI45MZx6NjEqkofY5tOmzfYztNvd3ROk2RZyxfvyYXOUfTEy6GJavXb9hu39A3Gxwaqw1CSmzXs10t6botzW5BbTqGd0ccladMZhOOZ2eoHnrdIW2E39hINmwaTN9SrxsWt2uev3nLxdGEfl2jbYcw8Pb5NW3WMj0f8+jsnNPZCbmqSCiCkZyGxc2C69sF54/u8vf+/t9lmg//v69Q/kf+EhHbHfw6e8CJR4YVTdguSgIYRoVNhj/kLcTfiV5D6/DO4J3CWU2vJbZXmDRFqL38T71rFkX0MQrYY7ODACv8CttKUElogFTMEEzzjDTLUWlAzkvePdAPjWtMKUii9AXn8JlHG0eSa5KuD0V965HKcnY85OJ4xLBwKKeDd06pg1QR7ynylGEMwM7yHJFmJGnSiMQ+AAEAAElEQVTw+uw2O5q6QckE72zwt8YC1MXGKVFwejzm8f0zjo+GeALhdTDIyFNJp0PwsXAhsFsIj8RRpJLBcMCkKkikxVnPdr1gt92Qxm2kscHXbg7QlHebWoEIjb9LsNbRaU2nNW3f0xlLmiS0naHtLXk2wCQlO+PpbPC6WAIMxwkRcwyDFFjKqIoQYUIunQarA33bmujXjDIlY3Beop0IBEK79yw6rHAYn2C9xHmFBFTiyRPIlQPdsm2W6O013W6J6VqQijTPyPOcLJJKpQzQqnfb6z2MREa5bHhZ6+i6AGyY385ZrzdYY8hTxfF0zHQ6Bm/RJsjW9o0W3pMkCVU1oBoOSdL0IFvcNxtW92w3G4RMSbMCV7jgx7UOQZAWax02G2WRvfPYWIuOQefeO7IsI81S0jRg6dMsjQ0iB7mVd6FGMX3PYrHkm2+es9uumY5HIXe2bem7FmuC/6goCkajIePx8CDbytMchApbcWf43d/9AX/nb/8tHjz47RuMGROaqkNT6H2UAMbQ+zjQcM4clAf+/8ndfzTJtmV5fthv732ka/fQcfW7T2VlZZauRnU1COtGk0YFjog20IgJhjQOOeH34YQz0jiB0Zogm80WALqyq0ukePrKkB6uj96Cg73d70uA9WA0coDMYxbvXRUeEX7OWWet9VdhcCSYbzhnfNkLObPuMPj5+qSiJHz46DUVEMXv0/f36PxBlyj88itSwmelRupgqiIPyzXF9yB99mZje6TJ54pKrN3XZV+TrfMIf9d1dE3HMBWcTwaM8whd11zPr5lfvceahhfPLsnSmPfvb1ltduyqlvFUMhoNOJ71mUz6RHFCebembRu09syJ69s5r9+84931nM54V9RhL+PFs0tOT6ZYZyjLmiwsO7Qx1JVnYQwGPdLE55ULIM8yRsMhvTwPP7sfVrtgsud/7w6u5V3XUVUeKXrx4hl5noZBwVGUFZvNlqZpSROFkxGNNuzKmlobaiPYdoI2lnQC0Ht9vPDZlwic8MkGe02+ODwrQbgW05Q43RzozcgYbSVGW8q2Y1c0lHXr89id9W7cB2q+XyYkkSSXgkRALAy2q2nqwptgWUsSalya98myLCB3XpaRJAlpkvlYnyj6EBPhguO08SjhZluwWm8pmw6E9HUlyxiPh4FhUVMWBeV2Q1kUGGOYTqfMZkcMRyN6vT5RHGOtp7N2jR/cjN37oGSkWY4Qe+M2dXgOOedQ0rNTwDPmqmLHw3zObrMG4PjsgpOzc8aTGVGcgBA+CzNQVXXnDX6qasdqteT29obNduefT8bQ1J4uu3hY0LYdg8GQs4szprMj0rwHztG2bXB4dSgFf/qnf8yf/dm/x/nlxQ/WjR+Ozqh34CTOdmjThiBoTVU1/sIxGuHqQEtQkORE0m9kTDA1ELr0DwGCLsfLoHFG44TFWo/6ONkSp5nXHzhomgZblqgoDkUBlLRU5YK22YJ0KBERC8UuiomTHCH9IBgpSbRb00tzVK9HluakwrtUxUainV+UKOfQnUSg/VZKG6yV9GNFqhxb51BRyqNRStbu2C4fuFsseVCWz3/vR3z2+CPmv/gVb97d8X65oX82YHh5zKc/+oS+SmiXOxZ3D3z55ob7pkXGEdtNwRdffUXXeaS038vp5QmXT4/4g5ePcbuaq6slqw4+eXTBZDJiOh5SvLvmm3/3S7phn9w6Oq1xKqHRhlEa058MGPWmDNOEb95+xXa7Yz1f8KtvvkP0MnbrLf/FX/7cc+jThEjA218YimJD9fW3RCpiV2mu5gsMDimhNR3OdtS6heGU4cd/hJy+oLERpqqhqNHaUjUlxnga23SQE0uwwuFsRix9kHenW0a9HjRbIuUQROAkJDkiUtiu8w8paTDS4HoZaT8nQxJFGb0sD3QoEZBsx8UI+s0SU63Qdcmu6dB5zOnTcy4uzklcxmpXs60q8pMpk8mElIRERAitMV2FdBa0d55q2hotY6JIUSxr5ssdZRwznByTqozYCrqqpS4bhIOyKal0TWk1T548YZr3idMekfN22LYz2NZQVyXlrmS+nBONBkRCUtxecVU16GcvmR2dMH18yfwXv+T+/WuqXNPPYpq6xrQNm82WulqxKZZkRz3OHj1imPRQUpGIBBH77EmnLbpp0dp5h2H8/9cPG7786lvuqnuyuWYRC5RTWOPQ/Y6jyzGPLx4xzickIsHaGN0JdOOoyy217ogGGf+Lf/I/4/OPP0Fp93fWjN/UQ4VMKOBALXVW4aRBWOM3lNodGu/9xp0QIMzenAMOTboLqJoKtdAa84GKiEVI6xsB5Idmm+8hL06AkyH82G+VhZLIKCKOE6I0Jk4S0jQjTVOiEGruZ0/fjFnrIDhd+ntnHwvhAh0xRkiDFNBPJZfHA04nGYOkweqIzkZgI6LIUwV7qSKNUsbjQQhnzxHKo6VFseHhYUFV1URRTFkqsiQJZiXBsdBo+v2Ey7MJk1FG15TsyobeoI8QM1QkkQaksAiCs6iISCIY5DGjYZ9+nhJHkq6zbDcbdtst40EP5/AMAt15JCps47Wx7IduE+h2jTZsdiW7qkFlLUVtkNJSdaCjnOz4AgZTaqdoLDQh09Ia423kJX7oVyF/Dk9jk86hXIfoGmzbgA6OjvjQaW2cj8iw4hCRcgCpxeEUgRBEAvIEhqmgHxkiV0NXecObLEH2M6IkJUpS8kGfNM89eh0Gxv1QSFhICKkCQuSRiKIomM/nPNzd0TUNu51HGtIkIY5jdNdRlpW3je80xvrrNcsyH6OR5/6+CXom38P77Xdbl5TbDSpK6QZj784ba9/8B4Os1cZTaMejM3/bWXugxwkIjZ8iSZNgsKGI1AcqpCPodY03Ttrsdnzz9Xe8fvWGJJbsJiO/5wl5mHmvR3/Ypx8QyixLw1AtSfOMpunYljvOH53xD//xP+T08pzlZsPgt8zjZj9g7XMW97ULCIumsPwITAe33z4h8dCi/7u95NnDdQJnLVr75bvRBqm6EAYeBkXh7wO3RyVFQCkth6WGc8HEUey1h772RGlKkmTEaYqKYs/WiCNUJBEiYq+Z9s6PLgw54SPErhCGBqxl3Es5HmUI3TBf3rC8uSKLBU9evGA8zFk8PHA7XzNfFwyHAz5++YyXz47JEg8+rHcNX7265t3tikoL7hYbdlXDcrmm7TRpmjLoZZwdTXh0fkIkJTe3d6w2O8bT2QHdc84PlUnsfwatDQjJcDRiNBqRpun+jNG2HZv1hvv7e6RSzBcLxsay3nijpuura+Ikpt/rs15vKKuSfp5TVUHXrDVCxJRVzWqzY1OUdE5gkx4tMbUWvufDEGbEgB6G3Ey8mYwUAiVBIjwDxLW4KiyvjEGqFCdjDApjfBWSSgVXbBkioDxl2Xlrb4QUJAqSCGLRIXRNpwtoG4TApwWkCUmakaQ5SeprnZDelTqKYl/7VOTRSvfBIMxaS1M3LB4W3N49UJYtRPHB0Mc6Lw9qQiTGavlA19QM+n0ujk8YjSfkvdznHYdFhHE6sHM8HRQcnZSUO28AFClFlKTeIV1F4X6z3sAtIPlNXbJcPHgTpdGI8XTGeDojy/IgEcCDGUGf6w3ByiA98IY1dyHbc36/oN/rU5UFi4d72lYzOz7h4vFjJrNjksTHjpjOM0N0p6nrkkEv5Y/++PeZjIZstztmvZO/s2784LCY9Idey2UlkeqTCgXaa1JUpNDauykJ4XnWOAO2A6PBNghT40yHw28SZJxDJLC2AyxKZohkgEhyRJJigmGDwICtseCpS53GNmuEbX2Mh5IIp+gcdNIHPaeiJItjnExwSQ+VD9HJABfHVFaClWFb7+lHXg8EcdbHmZK6WiLqHR0CQ0JHRprHTAaKZ2OF3q6Y381pegk//vELPn38Kdu3VyznS169m1Pg+Pf/wR/yux89J3eCdrHxGp+bB7572FJZOD47YrtYcvX2LXfrkt54yHQ2Y9SL+MknlwyNpagMb64feL3ZcPLZRzw6v2R3dc0//8//Kc10zGef/shThrZbjj/+iM8+fcHF0ZhcOSIs0mjWN/cYafni628pbh9wUQyNRqU5WT7k9qtvubq54a9sjRwNyTvDrDeEXU1RtURRRLFrWWhJJAuuFhvE+Sn96SP6yQgZXPTauqLrGoTy+i6rW5brEtcZjNO4SDEdTellPYSAsipI2zVKARqcinD5BDmY0XcRwlkElqFuqDuNReBkRCR9DpgAEiGJBCSxZsQOu1vR1j4r0Qz7PHnynOPBiNQmFNuORmWMLs85PZqSBGqFDOx5a0FYS6s7tPZukMVuy/3NiquHBzolyF3E8v0V6/USYzSvvnvDjz7/iBM14H5+x/BkyGV/zPF0RtQFCobznHHdaZqyotY1TlkSmVHsNIO+R0FsvWN5+x4Vx0ynRwwfPUK8+tJrGbQkiTMKtkR5TBRnnJw8YjjqMRpMSITy27+w5Zdp6k2bQrSIaTuabUlZtizutry/vmWXlZRVTlVXGOOYnU95ND0hHwwY9GbEIkM4hessTWPoOsNuU6JywZ/9j/+cf/iP/wcMSNi+uWI8Ofv/tkf57/VxyI7c90zOb8utEEgTbB+cwWH9DGetZ01If+3vKV17oxq31yPuN+oqhFYJTxvd1yFnfVQGfg7dj5sBsNyHWzsfzQBhq+83yrpraVVFE5dEcUq0D8uOQoRHiKTwjRP+dYMOTu8ztoxBNzW2bRhOFRfHfQaZJBGgrcAqiVWSJPZaVzPwCMxsOiLLvZ27C6L7q+tbf50VJXHQ+mSxN8HpmtbTcIRlNOxxNBtiTcd8vuBhteXi8SNkHBGnMdYZ8iymn8dEjde7jYY5w35KniXEkY9fqnXH3c0ND4slWZLQakNZloBjNBhgkwTTet2Lt6j3yKoxhqKs2O4qqlYji4aH1Y6mNayLBhHn9I/OIBugjfJUUhf0Lp3Gda1fhCL8s0jKQL/y9u9OGFRXY7sO4YwPHI/jw/kRKg4ugHhXWisxxCjpHVEjpxBIMgWD1DJILanQSF2hhKY3yunnY+I0RkYpIvL1Ic56REnmczSlp736pl6G5tzr/LuAwF1f3/Dm7VvWyxW9LGVXdDwsNpRVy3K55u37aybTEUkSkcQxee6R5DTz23O5p5I5G2YGh8DTtbfrFXWxozeQPragKnEiIkoFEdA0Le/fvadpGrIsPcSyOOuXqHHiKXZRpIji2Id3S+lfPyxoHN6QxALbouTrr7/jq2++Zbst6PcSVssVum1Js5TReMTJ6Qn94YAkTYL+N0RBILDOsNtt6LqG3/3pj/n4s8/QSJbbkt82bFEEeNmjU545sbdZElb4eoQfGq1zOOGX6GKf5So/xGGIfTaWEAfNGgfi6D43zkKgjwYPGwxBH76nbe8HUMeHrxNFxM7HxygbfRggY+XR5iQ6uE17HWTI8NY+B9VnAcJ+aNx/f1miOJn0GGYK02ypyx3T6ZCnj88Zj4fURcHVzYJ31w9YC8+eXPDi2TmTka9pu6rh27d3/PzLNyy2DQZFUXU+hkL7qKDxoMdsMuB4NiRJInbljrdXNyxXO5599AkO6aVW2vglSBQFKahgOOgzmYzJAs3fUzehLAqKoqQsK4qioKkb5ESgAkW0KEu6taYatGy3a49oCUFRVhRl7e9Pa7i5vmWxWLLcVoh8RD67wOUjWu1ZHQ6DMS5EOpgDZRyhAivAG3tFIe4OW2O72rPLkMg4Q0YZMkpwMiJWip6IsBkftLL+ZIbT7p95sTQkUiNsi65LtG2IpCTr9UnSjChJAs05DYY6caCiR56WHhY/3rlXhri2jt1my/X1DVdXt2yLijjJSPOIompZb0vWm5Kbmzse5nPK3QZnDScnJ5wcnzAcjX6NPm8C+m4C5b0sC7q2Jo4TwHmUUWucs4zGM+LM02W7LhipSeUjM7Rmu9lQliWT2ZSjo2Oy/sBH9YjwnN4vdg9fr6EoCzbbLev1ipubW1brDXXVcD+fk/dyIgmD4ZjpbMbx6Rn94RilPPPDaR8t451la3a7gqPjE549f4oSlu12w+wH2rofHBaNkTStRXcGJzVSRWjrQMZenSBTL1q2HaYtQNeAxnU1zrS+GsgIZIKIEhDeHSjNx56a4qCoNFZAlCZgBa5rcaYiSnPf9DYVbb1G2grrDFKNSHonIL0lt1TehSmRjsFwCMahnCNJEvIkIY8Sv00uSzrdoiQkoXlZlxus0TTGu7RuN0ucbpjMZqRZj8lkzNk4Z2Qados5pdR8/pMfc5qNEeuK7WLNt2/mvFnumF5M+clHl5z0h3SLNffv3zF/KPiXP/uab1cN/V6f3WIBRiOFIs1Tjo9nJJEkTSXjPKNb13z16h3f3W7Yxo5ORiwXS+arkj/5T/8TenlCalP+8t/8Na2Cj19ecJwaxO4BLR0uSumKkm9/+Q1GSpq2pKgaFpsFVzf3JCrm45fPyVYF//Vf/lv+N//7/x1/9S//OUlvQCYSXt+8YVuXZFnMcluwXG1Z7nq8uV8xuZQgFPOHe9q2JooTbFUhVUSSxcRK0h/2/c0kCE5b3olpq1YMh0Py/tA7h2rr9T4qo7MJouhIs9hviGSMjiSRcH5xIARpFIFS3l/CAUYzySRmtaHodihnGX30hNnRhGE2RokYuo51sUY9OmE8PWaUJpim8w81Z9CdDzJvuoamrJm/vWdRlOw2Be+vb6EXM7+65939jk7AulrSdDWL21sW6w3JQDG6nHF2ckIWJ/SiDNPWYBwuNOE4S1tUbMsNzkm22xo9HtFoRyZ9/IveLnl4a5FCMMhzTOfYVjvOPx8eNry9YZ9USAaDDGUhV6nXEwhJ12i0rnHGeeTLCKxx1NuGt1+8493DA19+8YrbbknSV0SJQEvN0eUJjy7OGUVDVNQjiwZggy25qbFB/6G1xfZiPv7kBU9Ozyne3bKav+cxf/BDpeM37thruPbdjG9+JUI6rPAPRwK100hPjzxYz3/fLELsHVXlYasoDzod6WlU+2HxsLH/QA0MVjnhN+Lw/UhhCSv4Q2PmtUaW1hjapgtOgV7TKKJ9LpZEuu8Ni36uxYXr0zpDW1fQ1Yx7I44GMQpvNkCIsBHOIiWkSYzJE5SK6PXSg2ucsYaHxZovv/qO+/s1XWeJOkvbNFSh0cd5U4osEcxmI0bDHl3Xsliu2RU1SeozouLEP3TH42HQYHhdSZb3PM1S+cFMCMt2s+LNm7cUZeUNdKqG5XIDGKajIbGS7HYVq+WaoqhJY2//boGiqimbhtaAqFvmq53XEhcFw7MxvdEEp+LDhl0JQRxJpFM4EX+g5R227/58CQcSvziVWOJgdBAnuXdnjBOESpBIpPvesCi8VsgK78orkSRKEEeB5tWWWFGS9RLG09zXgijCiQhEFNDd5DAo7hum/bWCI9CsWu7v7rm6uububs5qtcUai7GCXVGxWG1YrXc0bcfrN+959uwJF+fHjMYj0iQJTVkc6IBBIxuQc2c0TVMxv7vj/u6OWCUoodBdS7Er6Kwkt47YGDabHTc3N0wn/nU95dsjtlEUgRKH++ZgngSBcuj1nr6ZEqw3Bd9884rXr99SlrVvFC10bYfrOSaTCZePLplMJ96Vdq+/Clpj8Jrl9++vyPKcl598xmwyxuJz+n7bDm+0FSJ6pH8fZdDUmsCWcFF4f/fUdWexJjAonAPCgmBf99hXtAMH3iPu4bztzWz4vtmN+HAeDrVRSG9wJQUy8kNAFJbTKlAWPTLeIVp7QCz3MR7aGIyxhzxBY7XXBhoXMhk7skQx7KUE7IvZdMTpbMRwkOOMZr3ecnN9R9e2HE/6PH90RD/1NP7VpuSrV9f8za/ecDvfoq1DRns6tCWKJFkSMxr2mI4G9PKMpm3ZlhVXtw8UZcNqs2MyKWnqGoGg3x+QZpkfZNOUXt6jn/f8++PCz2Esi8WCYrcLb5kjib0msZfnWG1Ik4RiV1HICudg0Peu0V2nadrO100kNyFHtGwNl48eMzx/jksGfjg03Z7kEs5mWCQEZoLXifpzFEsPUICjdRYnFCrOibJBiAfyplt+wBTB8TYsEb53Pe7dxCPhULZF6gaURkaSJOmTZylxmgbWhDfrUtI7xO6Bi/2QuF+uWmModjtub+64vrrh/v6BqmlRcYJKfDTfzf2Cu4c1RdUwX62oq4Z+njGZjDiazUjSYEZjjUf44BD9ZE1HXZYU2zVGa+LIfz8O4U25moau65jMjsAatpsNxhjvDm40XVt7Z+fJhOPjE7I89whkMAWz39MKO2MwuqOqK1arJavFgvmD/6iqGmsdSqlg/jVlNBkzHHhQZ08bPrgPO0vbNtR1TZJEfPTxCyazMVk/8YjrDxw/OCz2J0dkAqzzuTVC4MXnVXnQF+D923BZTl1usbqmlX4Sl1EPlQxJ8wFSpcFGvcOJyDsxWkfe9656sfQW8R7qFcFi19NK26b22XJSoUSMQBIl/mFJU1M1O6zrKOY3RFi61gekV2VJqXdY5+hnvQ8PBiFohKSnekSRn+RjJXFpjlEx8/Wa9uGa9CEh01Paoz79Yc4ffvYnjCYzzKbh/v0r3tzc0//pT/gsGiBiy3GaY3YVt2+vePvujr95M+dXt0ver3b+IT/MvEg7iTmdTBgkMbZrkNZS3y/569d33MYxZ588YrirePt+yez0KZ/8zmMiU3vkLRb8+X/4D7yA13VU2yWt7ZBI1jfv2M7XvHp7TZ6lbFcLNm1DYxq2uxWZSvj2b3/B3bvXPH32mP/L//H/wOXZOcZBScLtakVZ1+SJom29u9jurmKbZBw/foFLc5S0RElOmkYk47EPBcU3rk5KemlOZHzoqlARdmJouxZtDGW1o69bjHWkSUKXDNAyoyorut0aIR1o44uSCtQCFdEKfLC5giyJUc5iIsNgEBGVCdGwx9PnL5FVi3ESUOi2pXcypX80JlEcGuY9Gl4VFV3rtSzVasO7d9d8dXVFkwum5zN6UQrJhPjY8Bf/4l9RlgUGgzUN69UD5+dnPH/+jMQ4IunF9S7y20LbGtq28rRtJZE65ttfveXLd1f83n/0j3j5kz9m/fqaYvVA3bRolty8+hWjbMLbm9dc/N5L4rSPFIpqV+JSwexoQlRrdHg4m70BS2cwtsV0rad/lR3FpmK72nF1s+CuWlK4HXEKg35ENs55+ulzzidn9KIBwkUkcRZyFl1oHB1xAm0nSEY5WMFPf++n2E3F6uaautv9YFH5TTyiOA4PHBGabAIdlUPBxumD8cMeBfGJ49+ncIUhcf8Ak9LrMwLdBuGNHhDy15BI33CJAyfRF3cR6KMghP/6wMFy+6A5Clowa3zYvVESZfZIpvAedC5QxRz4vA2zV05gdEemLEejmEHmkM4bJFnb+QYraAD9g9IPB03bEtcltB21drx69Z63b6+omxZro+C4B53Zx41IlLBkeY+TkxnDYZ/dZgNYjo5mPH7yKIj5I1Rk6Q9G5L0Bdh+0LTwlTQiH0S2261g/PLB6uPe6RufYbnfMHxZooxn0BrStZj5fcjef44DB6RFZLwMZUbeWqnUePW0tq015eJBP+mOiwQSrYtDGny9pkcEhUFjlkd59kxzodVJ8YHcIZ1F4erNUcaBr+mtACoFFBClEyMv8NR2XYp/7aExD065p5YJ42DEZjxhORsSJP7fWSiACGQyPPLcPbzazD7n3y4yqrJjP59zf3dPWNaPRgMEgx2qL0ZbrmwW7sqLqNFYKNtuSSCkG/T79vOfZQaEh2ps6OUcIq26oyy2Lu1uur65pO81sdoJTMQbfBGnjozIssFguKIodTy7PEHiqqL/OPeInkIcB4GA2FYYEh1+3YGG5WPLqu1e8e/OWtqlI4wgpIMsSxuMxT5485uLxJePxhCiSfvj3sL3XEClP97q9vmU+f+DRo0e8ePHCu7M6fy/9th394SBcIwH5c3sE8HvmXo7v/frXsxIPf45Hk/e7LT9fiA8aQ+GdmwnDAHJf+349kmF/T7hAx5d76j77HEaPwLVNG6JVAvJ4WILZA+PCI2F+QWLxNdJiESjsHtWRCtO1KBKGvZRhmtHPU4zp2K03vP7uFbvNhtmoz8nRiDxybDfeIOZvfvmKv/3qLfNNS9H4AUmGUHclCaZiHgXdLwh3u4LOeBOm8XBAP8/Is5zxaEiWZSRJwr70SyCKEz8YCe8k7ayn279585bNdsdisUIbzf18jjYOpSLWmw2v375nvdnRyzIePTrn9PSMTne0TesNcFSE0dYb23UasiEnl09IByNK45FC4ghjnPfsdgKB9ZpSJQ8Df6QksYJYWKTVGG28NluAjDNU0sPJFIu/37wxi8VY/+zaXyz+7g7LUmfBaaTrUMqSRJFnl/RSnwcYInJQ0cG8K4riUCc9km2+R7Gf3y/57ttX3N7dB1pwztEkREuoiIfVjuu7OUXV0Grva5HmGcezIcNBnyT1Oup9lI8NGcEu/L6uKzarFcV2g1IKm+fISBEnGVJF1HXNcrGgC54AN1fvSVO/YDXOoh2kec4w8UwN8EY8jj1zyOfM7uNNqqpg+bDg/u6ezWbDerOlaVuEkMxmY55/9BFPn79gMBiQpjEgQwydC+fAO7oba4K7dEO/P+Dk7AwhY7QWPhniB44fpqFmuRc+O0uS+AHQJRGq1/O2u3VB3dT+hfIB+fgUaQ2taem0wzkFau/+47U58rDw9DdSJAQoRUwEwnoKn3N0xsPmsUqJ8j4myzDaEglD12q6coUVvmh4DrUkHvRo2xoRpTgNSsYMzJA4jUNAdEyUZMRJjoozpHVeMNzVQIt2igaLJSE2BuUkERatK0bHI1IVobcN66sb3l7f8MWbGz65eIk0gpPTIaqpeff2PVe3D/zNm3uKKEHGPusrT2OkdggZIeKIPIkxdYU2DTuR8uXdA//4f/VPmLRLFu/ec2P7/M7f/wecjnKUNYi45/NscMS2IjaaOI4Yzmb+gS0sk8mYL372t6zKEpMpdoVmu2vQZcP71+/9hVu3VFUNacTJ2RHJdMzzj17SM4p/9xd/g5B+u5UqSScci+WGdHTMs5c/5Xh0irIWXEfTdkRKoPpDnBCh6fG28VJImq5DCkkUxX5zKQT6/jXCae8mmA2JpmfIqEeaCm+bHITodasp25pNsfECZCUxXYsFIuswTcXg6YDK7Th/+pRRKollBqEQ6Lqj7DTy6Ih+2gdtDlsVZwxtVXuR8HrL9fUdm82WW1vz7M9/zOlsxCDOEZuO7351w+rqFtt5rZKMYTDIiJTj7PiI1ErkPpsOH/Rq8KiptZa6KKk2DXfvFnx7fU0zlBSrBbtix6NPPmHxLmezvPch5W3DdvWOJIHNwwL5SeSpf8McE2kiq3BO+w2mMcFdy2KMo60rdFdjrWX3UHB3t2C9KyhEy+hyxMXTY372r/+Kk4/O+IOf/oTT3ogsGZFlIzIS6qqia7sQlus1xeWqZFd3bCrNy9/7MYMo5+qLr3jYLTl5/ttGzIK81zsMi99vYjyLyh0abkLzYt2HJvbXmif2VuPi8Hr+QesCyrNvPkN3wP6h6X9tHQfzHHuQQtowLEpPu7Pfb+Is1rhgey8OYOWelgVuLylijybsQ7H9sOHz6fo9wflxjyzqwFQY02B0S9fVNE1NXTYURc1uV2GspWwNVdMRJRmdkSwfHqjKMiBxH/SaFk95FViyRDAeDzg7PWIw6GG6lsl0zOn5JWdnxyHLz5sjRLEK1M/okMW2z77SBtpWs1kvaWv/nKjqmvW25X6xodMdeT6nrDyKti22PHp0wdnpMcdHE1bbkt1uS123PjLDauqqwDhBlPaJR8eQ9jHCP5P2FLn9xl0pgXB7msOHYVEB0hmk9efWBtrcPofucL14zz28SZzDCNDOYITwf+o7TaztMM2GWD8QD2tGw4TRMD0MigepmfDOkftryy8h/LLBWBfoUiXz+3t2uwIpJbPjI5IkQWtNU/mM1U5r2s47vgqpSLOM0XhKnve8HlZ4dolwHlcSzlvXN2XBdrVk9XDHYj6naTsGwwmjyRH5aEaUDYnSfnDH9G6sq80GHfSRBEdDr/UNKMZ+S7JHwOAQKaBUhDaau+trXr96w2a9IY4Uo8GAQlYYE3F+esKLj17w6PElg9GQKPIaTrFHxazBABi/ZHj/7j2Rinn29Dmj0RhtHM6471G4f3uOQb8frtzwX7f/sB8WZPumfj80sl+c7T/HI4t7evP+3x5yaA8fAUHc/3//VQMU+b0v86GOWn1A7m1omp3+EPPjjPUyF2sCw8Pg3If8WLmnOQYMyztm+mHROZAWFJpYQp5GZDFgOqrdjq+//IZvv36FtTAa5AzzFNt1LOcr3l7f88VXr7m+31Bq2DWWzoSlSaDzaq09DdZYsizl5GjGbDomTjxiOJ0e8Ts/+ozRaEKSJEglAjVehwB4SRyGIOMCBVF3LJYLbm5ugotpzXzeMH9YsFztuJt7M5OyrmmblkG/x7Onzzg/P+Obb7/7YIAirXfhDF8vjRPGsyOcihBIYgiDlw3Zh96tWB6Wn37BFUlBrCDyE7k3idQdOFBxAirFOoUNsUDWwSFDcy/Pxy9HD9eU7bCuRsQtiXL08oRhPyZNk5DhHhZq/gG2B+BA7q9H/+dN03J7c883X3/Lw2JFfzji/PKI4XiMihSd1tSd4e3tkoflhlZ7s84kSej1vHGOlH7IFaEu2WACtb9Yje4ot1t22w26a5EyC0OvCpEhPbK+1+12WnNzc8393R0Xl5ffc6MWnlIb+ecbgVO0H6at0T7erNPUVclyMef+9pbdZosxNkR+xIzGYz7+5BOev/jIx7GE1/NDPv4msxaCb0Bd1mw3G2QU+4iR4QghFF2rD/Fhf9fxw8hirGiAsmkxHSRSeR2Ns1jTkqQZw8GEWMUYoLMa4wyZMUSh0YqUp0EJa9Gmwymg6WiDlbqKFMLI8Gb5G7/TFpkkpHnfu/hZg3MRNokQzpAmGmMTDCFbzLrguAUqd0hnEHjqQdd2dLrz2X8B7RLOErkS4wylbjBG+4tRpUiZkvS9C2EWC07PU2ZnMYNMUBU1sbTM5wt+/su3fPuw4fqf/QsWmzVnZ8+ZX73n6vUVy0hy/pNPyK2l3hRsq87rIqwPKAaoqwJb1ThraJzl7//en/LxQLD8ZsGmqMmfvOBo0CNTkRd0R4quatguF8SJ52onif/zvTtjJBTV2jf5o9MjciW4fvcdAsEvv3hF0TT0+j2Gwz6i7rj46Dl/749/n8eDEf/sP//n3N7OUcr/3GksaHYthdYcH52QKEW9usHoBiWg2NXYNCYKCLHDgBP005RYeOGycZYoOKIlzhGXC4wzyDRBxzlR7B/KnbPYrsYJQRIlJJHfcPX6AxQO0zbsqhKEoHOOOI25W245e5YynJ3QC32FdZaurNDOIoYDhuMjML7g2bahLSvarqWrKordjnK3Y90UuKOETy5e8uLREzKbYnY1b99cs6odVdtStqVHOFpH1B/w6Y8+Zxhn6LYjliHg3Fi6oqRVglzlbO8LVtsl84cla13z/E9ekKU5w+GEq2+/Jn6pmF4+ojccsFstaKuS1WpOUe0Yygn1Zsmms0SqJRIeccWrODGdwXaaRncY/Ha83WjKYsdqsWG+XlJGmpd/8gxZOJqHgrPjE569eM755IIeKWnSD9lHYI30Qb269SG02rHdNix2FetI8ftnj7j57i2resfF73zG5ckPu2b9Jh5JEodffaCGBpJVoK3tiVb72UF8oKDuG579rw8vER6QgcrpP/d7TX449s2T+/Die0lHkJ2FYdP5gcCbk7rD6/k5UB62tFIE5CToHcSBggLKOpyQoVlWOAuJrXl8nHExSYn2OvO9y17bUhQVq9WG1aqgLBssAis6+kMYpBmpSv1AEUUon0hPrCRp7L+nTntH0F6Wc3o8ZTDo+QZCKHqDEbPjE7Lcx+fYfXNqzWEr3XX2gyZeaIRI2O1Krq9vKaqa1ljulyt2RcHDeodzluW6ACK2RU2kYp5cnPHo3OdfffvmmvfX9xRVjRU+ON5oR2sgGR8zOjpBRjGdCegxPhpj3/hKRDDA3Zt2+GWYxKGsp6VaZ5FhkelR5BC/4Tqs9BR7Yx0GT0HVIsYI67fxGKxtkbqkb9b0s46zoz7HRz2SLPGDaKBgGuuQ0Qd68+GStBarfZj0ZrNls9nQtB29Xs5gMCRJU6yzVGWJjhRSeSdZG64/pRRHRzMm4yFJkiACdXGPMmEMbdew3axZr5bs1muapkKoiOnRhMnRGeOjc9LhDJX2kVESqKTenG2z3aGN9kOc9LRbF3S5+/tKCH/9IgjsFT+clLsdb9++5fb6Bq01g+EApRR1VXotolQ8ff6ER48uGQyHQfPoEUQZdJwWdzCZuLm6Yrv1WrLZ8THG+qBuqy3/nev23+BjX9UOVOWA7IkD5iMOA92+tH1AIP1reAMb/2pCeOflQ+3b18FQTvfN62Ew/N7r4F/Wl0+fdYFzEuciXHyYZgMJw08pgXTI3oTlYMZiD3QMrNu7I1s6C8IZZqOYcS8l7Fx8/nFdcn97z83VDXXTYIlY72qUEvR7CXEsiSPB44tjkjzn9d2KTbml0440jRgOMgSO1bqg7bxu8sxYptMRpyczEB6pvrg4o9/vEcUSpXyWqtadd+wNSFGapkgZYbT2PU2nKXY7rDGMhn0Ggx7boqBpddDseqq2FIJenvDyo2c8f/qYtmt59+496/X6QGm0CL8E1JqjyYR8NEW7PTXYU+O9lDcM3oEtI4Prs5KCSBKMbfyQbrrWGxpFETLOEFGCFRJjff6vsT571Z+SD6OisUEbaTqkqYlUTb8nOR5mzEYJeRoFNqKlbTucE8goJo6jsPR03rzIWrQ2lGXFw3zBu7fvqaqai4sLzi8vGY3HCCVpOk1ZlbSmpqgq6tazFOIo4uL8jOHQZ/PukUrP3jG/hi52rXd53mwC/TRJyHoDev2RN+iMUpSKiBIJwtHWNV2nads21CYZ7pVArT8s/exhOeCjfnz0UFkULJcPLB4eaNqWXr9HmmVsdzs6bcjzHh9//BHHR0eoOEbgEE76/sCFLEvrtZtNWfJwf8d2t+Py8RMmsyOSNAv/VmPN/w/Doqh2uE571nIHtSnodItQCm0MeeZQbYtE0mL8hiJSJColS1KcMwgZbI11h6xbdmWFs5aqbbFWk8oeynmETxuNdBYRxfSTjERZhIzodAMO4mgABjrn87G83b3z4ctCkKgEIR1KSLAtnQPR8xsR6xxKOmKp0LoDaRj1ehgBrTZ0LvIByZ1GWIdQMbNRxu+/dIzjO+rdlrqs0K3lZz/7Besk5bOffsR3X7xlu9vQljteb5bYaY9PP33O06MjFt9c8QvhN87GGBwwPT1mNhnz+ldf0mrD6eWM3/3JM56OMpZvv+V2vmJVOT6azcAYtAClJKbV/oGuNa9evcZoTZ7EfjslIE4jml3NL3/1DQ0WXe/YtpaqLCi7Am00vdGAFy+eMIwjvvvmFecXZxxHEb/6N3/Nz/7ql6yKCiI8TVM7lkUDScro8RNUlCKkopdNQEl6sywUAH9RCr9mhkCbcNbRGU2LI4ZAz6qxpkWJIUamYBzGegQ4jSPKpqBsS3arFVVbMhpN6CcpXVOBsdRti4oE03HCs/MxLx6PyJzXxKhIosuSzmoaERMPRmAVumlx1msV2qpgt1uzuJ+zLHbIXsLJp4949vQJsbWe5dcYqocNd/MF8eyI5ss3NG2DwdGf9nn54884n52QhIemNRanDbrwlsU2EtwvOr5+f4UaKFRf8fFHn3A6OaHYNowuXiBbwfLmCjrN+cUjRpMpxXLJ6199g3YC01qaumbVVuSZII0jT3cMSbjOWLqqpWprTysoDZvFhqLasG1rhs8nfHx2zKw/pHhX87dff8Hg6QkfPXvCIBmQEBOhcFrTakvXdcEtTtJWFcWuYlc27ITm9//kj2gWW+5vrjn66Jzzi0vssoTfModAn6NHuJzF9xqgPaL0wc1vjxoGIG8/roXPD93PnsbqPPvB/5UXrH/YrIvDhPhrX0OGYQQBztMbpVAgIk/1EXtDhzDMhn/nhwTvnOpRuaAzCrbe+3DtvSeFJkJrR542fHQxZJpLMC0m0E67TtNULdttwXK1Y7ut6DpLkqX0+kNmsxOOT05wIubmek2ephSxNzkY9DImI6+7qZoGZyyz6ZDpZICPDKqomhaE8hbh+IWFxeK09qha0B91XUvXapq2xQTGyvvrO776+jtWm4K6MezqlrIqaVpNmkQ+Yyz1NWvQSzmeTEiimMV6y8+/fMX1fOUp3QE51E5hZMzo5JzxyTlWeMqas/bDOfazzoeIkoDD768R/+E33D4yA98kCunXPNY3SNoatLX+wwkMCisTr1lEYoUf4mOzo9/TPDoZcDyLiWMZIkgsTdN5im+Uk8nscB04goFB29KUJcXOs3/iOGY0nhx0oc45qrryFFJtwjCwv3Ydw37O08cX9HpZaHJEiFjwtbTcFayXD6xWS7quJVIRo/HU29vnPXqjI7LhhLQ3RMRZcED1uW1OKprWU5y9BM0ekEoIkQ7Ohkb+gy7YWsviYc6r716xWa8ZT8bMji5IkxRtLcvFA03TMhj2OQ1mNlES+wUxeyzDnzujDZv1ltVqxcNiSX805vzy0kfAhEzSrm0/DB6/RUfbdQDfu4r3S609nzTQRoUI9S5cW06E9/CAqXst2n6phkf1Pvw9AeH+3hfj8CXYO0bvB8399Sv3fvp7MEe4Q83yJXOPejmU+OCs6k3wHEJID1IoiRO+Z2paX0My0fFylnA+jYnQtLWhrAo2iwd0W3NxcYpSim9eXVEUNc5NOD4aM54NOTqe8PGnL5mvC/7pv/i3fPf+HqMFw8GYp49OaJuGYlegO8cgTzk/PWIyGlA3DfP5ivWm5OTkHOG8u6VpW/+9NQ1FWVIUBXVdhybfx/BkWUbbaV69ekPTNOR5jnWOzXZH3WiM806h40EPnCWOJI8vL4mTmFdv3vLtt69oWo0QHvW0wiP0TiVMTi5I+0O6PQ3Z+WvAD57+/ZZhkbPPxYykIFIQCYswgs7ZgwFPFGdEaQ8ZZb6WGR/T0jQtVV3Tdt2BymwdHxISnKGnOs5mEWfjjONxSj9XxErSGeOjLMoaGcX0ByNE7IcgYzq0sVRlxW5Xslpt2BUFSZLw6NElx8enpLl3Fm1DTM8+i3W73aG1z/0djPp8/PI5g34P6bSfK4JO1FlfS+uyoCh2lEVB17ZEUUx/MCTtDekPp4wmR2S9ITKKDxe7w9K1bRh0P+Rr7u2f9jVtX/OMCfnHXUtTFey2Wx4e5mzXaxCC6dERs6Mj4jjh4eGBsqyYTGccHR0RJ3FYpPgv70kCflDUWtOUJcuHe1bLBXmWcXR8ymA0+Z6u0R5q4991/OCweLvZYowmSXN6qQSl0NqjbkopH5iuIgrr0E7QG/bpx5K2KalMd3DLjEJOUiQlWdJDJQkywPe9rIfuWpzRtLqhKnZoZ6k7H8w6SGISMqrO5z/FWULd1CQSjxgRIWIJukZYSyxjIgRd65DCEOexd2WyvuFy4FEv01E3hjyLGPUHIFJPERXQ1jVF3TBNSp4OEmRR0xQt83fXvHtYM/v0gj/50SeY93d895dfIHFsy5KLl095/tElp70B7bZlfrNisSlDzIVERoI/+fd+HxZLrr5QXH5+zn/w9z7j09kQWsP6Ycvf/s1ryqzHo7KkritkmtCsSvJejyiLmZ0eY4RjudmwWW54ePea9cM9Mpbs1gVvbiq2TcX6uyUq6lHplqZtyPsZT1885pMXT9ndPCCdpFiu+K9vHnjzbs5390taa8hUTJbEVLuSRVkTjyYMjs8RUQxOUrcaFcegaz8E685D9hJQ0nPzpUehM4L2UEVEbevpDdbQGRDJgKaucSicdZRty2qz5u3dezrXYJ0jXT+EEF1LZzVxr8fTiyOeXWb8/tMR53mKK3e0pkYVUCyWFG3LJko4nZwQ1y1V5Smam4c1i8UdJrZoq8nPRpxennI6O2aUDBGdYVdt2K63LDZbVlVLpwTbsqBzBpTg49//lN//yY9JSfGbOAGtYXu/Yn53TyVbTNXy3ddXqMd9nj9/xNFoxrg/QnQCISN64ykn41NO11uWd9dcf/clk+MTji7P6fWHFG9K0vMObWpUmqIiiWk01plAP3WYuuXu7R0lJa42vPr6im4iOb2ccD4+4ehoxjAbQQ2N8m6AT18OOBuPSWSEdArdBBoPCtM2VF2DaaGuWpaLHe9u55z9/secnxxz+4s3yESQ5QlOd2xv7pg9+/gHC8tv2uGzx/aNk/gwuIk9ssShIcHuowL2erM94oT//f4QYcvn9s2W/R5qeZhHw0Doh8SDWB8CHS9ogIQJK/dfp4oZaw9a0w9PCu/QqoTwYdeRPKAEEoiCLswQUVctE5lwPo5IXI3pap9FZkwwRtCURUtddWjtKYKD/oCTkzOOTs4YjMZURUNb1Ui8plgKxXTc58mjc9Ikoip9DRwOcvI8o6wb6kZQlg1RlAHeTdWJFmMNbROc9QKy2raasii5ny9YLLfstiXv3t/y6s01m22Ftt4go2stSkpG/YxnF2eMRyOW8/vQ/EjKquaLb17xxTevKNrukHnpafySpD/i9NlHJKMpnYi82y2e+u2jMfZxF6Ed/h797jDkWI+6WR2cPZXPYnRC+a2+c2jraEMIurZe9W/QOKFwKFDerXOYw+PTHpcn0Etauq5Fd1BsC5brDUJGTI/OyLIhOI/wWK2pK++WWJclOBgOR/T6A9+sBGaLN26pQyPX+HiRYJCUxBFPn1zy4ukjVKjZ2tpwbnxDvFouqcstUaTo9yckWUaaeSdWooQk75P1+l6Po2L/HjjnaXd7Oq71bovOeIREKY8iGKsDpE5AUC1lWXB3fcO7t6+xWnNxccHZxQW9QR9rPQ15u9ugIsl4MqY36CGDG+R+TPQ6N4PuOub3c+7u7mg7TZRkzE5O6A2GCOEDs2MVgTLe0O+37LDhvRWH/35vmvseq2L/P3Goh3s1oPvwZ/J7hlxwQPu+R5P49Rb08LLiYHy1383th1Yfy6BCP73XSvr7yTPo9+fUeSkSQRet9po6QRJHRIGBpa0liWNM0jFLLY+PUyZ9DV3NcrVkfnuDMC2PLk8YDc+xCH7x5Su00YynQ04vTjk+GpClEWnWozJQVC11Y4jSlKPJgMuzKU1d09QlUZTy8UfP+OTlU5JYcnv3wOvXV/T6IQrDWnTTYHQIqXcu0C19JMVqueL2dk5VN6RpxmK94btX77ibL3yOrLthvlhSNS1SKkbDIc+ePqEqC9q2Ic1SirLizZu33N/Pfe4v4JzxciBj6U8nnFy+QMY9dOv1hAf37EA33WtO99IKGdguHxQOe/qsrx0qTpAq8aaWBMMkrWnqmt12S1mWdF33Ac2WPgIqiRzZUHA+zTkdZ2Sxv6K01uw2W25v76nqlunREYNheO5aS6c1u23JfP5AUfiYvbOzU44mE4bDASKKcQ46ozFW03Wtp+QXJdvtDmv8Fffo4oyPXjwjjnycGG4v8+koi4LFwwOr5cKnQCjFYDhkOJ6Q9YYkWZ/B5JjR9JS8NwgMDD/o67bxeY1VhYoU/X7/sHTzhx+ctXZgjc9QrEu2mzWr5YLNZkNVVfR6PY5PTzk+OSPLc4wxrLcbVBzRH/R9BND+HhIisEP2iKumLkse5nMe7u/RxnB+csp4ekSa9dmXN+dsML76u48f/NvheMS2qGm0RlOR5T1UlnhzBAmD0YQsSRHOUZQF0hlMVxMnno8QqQxNihMS0zZ0ukPFCdpZlIrpZylOawQWYTvSSJHOTkijlFSBcy1N16LUgMqVFLva5zNag7EdrqtwXUOjHVE6QFhDXczpZTlJktG0FU1VYk2D7EqyPENlOWk2QOUTZDKikco3VDgkHcp656FYdvzoyBJvbtgsbig2JW9v5vSenfDy6SVnSZ9/++aWm/s1+aMpL370nM9fPOZyesnm3S3Xb67526/e8n6xpTGONI7Is4Sj0YiH+zn9UcpnL055ORsTW7i7u+cXf/0d7w18/oe/w2Q6ptttWS1rqvWOXVXy9MVzemnMIJYkwx493eFWEWvT8s3bO26WJaXrUdcNxW5DNkrQuiNOYwaTIR9/+oKT2YxZnPFf/hf/kv75Yy6zhF/88g3vb25odUtfxGy3JQ+rgtoYjp5/wvnL30WFEPE09oHiui7Z1jXbeoeQ3gVymPXIez2UjAIcDkJ7znXUbFFtiRAKK2O0gborA9cc6s5gk4jzi8formLXFFRNTRJHjAZHRElO17UIa0mkIrEaGku32WDahru399wu76iimOFHL7HaQGTBNpTlllZv2ekC0cu4eHTJ6fE5x8MpstXYTuM66zPRjA+NHZwcs64UptUYZ3GR5MXL55wNZ0TGI9Bd07J9WLJ4uGe327KpC+QgZfL5jCfPLzkZzMhVD2cUVV2jnc+sMk4wnB7R7w+pdhvmV29Zv3nN21dfI8Y9Lp4+5+TkHNUWyFZTbCuItEdIG02za3lYL9jWS3ZNTdVrePLxU549ec44myC1wHWapm59mLayTFOFCkYt2oFtWkznC31V1GhlqAvNVz9/y121JDnKuXx0inSGwWxIMssYJBmmLKjL7Q8Wld/EQ3c6NER7kxsRgqZDY2I5aG98c/NB3+jCw1Qc+i6x9zIJ/0b5IdMFdEXIQ4MEfA9d9FSgPQJpgnOwMQZrWqz1qJ8J7n42mNsI5xuo/ecrJVCRQAU3wThSRJEMLnbeXVBKSaMFQrT00ohBbHFtSdfVaGM+xEdaEYTykjSJybOEi/NTzs/OGY0mCBmz3i65vV/QaevdWKUkS1OmkzGDfkbX9tG6I019wHrTanAOYwXDPEdJdcjxK+uK5WoF1tLrZd7gqtOs1gVv3t7w5u01y+WW9XrLrmjQ2utrhPXDcT9PeXJ2wmcvn4FzfCEC0uYUy/mGf/eLr7l/WAF7i3WFcxLiHuOzJ5w+fYnKBrTEWLx+T4o95kGANvYotAvoizvE/gjnw5Ot8T+jb5391yFQIYXw3ytKIazF7+4jEN7dz6mILI24GEU8OoJhViJtS1tXrJYrrq/v2O5KJkcnjMbHoYm2aG1pmsY3jXWNkoper89gMCAJg6Kf07wGtm07j1DUzeG6VEqRpr7ZnU1HWKtpW9+0N43XPpZFgbWG4WhM3suI4wQZeb24Q2BlFIKzez5rTCgfgxVQWvC6KSE8UqpN598rB13XeP1TGPB8zMeS9+/fs3yY0+tlvPz0E05OjlFxgpOSttVI2WGMv/76gyEqjtFB4xYhDiyk9WbHzfU1t7e3KBUxnk5QUUyv582VkArpBCrCuxCa3z5kcc+Y8L/8Hk/0v/VnHxgTH1BI//l71NF979McHGjMQnxfx/29fwThvnBY8+H3eyMbX8+07/OCjs9og7U65GXaD0ioXwH4IUb5uhdHEVEUhVrjM0cd3tVbOYtKE/JEEUtN19Rs1mt013Jxdszp2SmCwDTTmrPzY378u5/z6PExkXIoKahayy++fss3b+7QTjHMc/IsJlKWbJjx+cdPOTk+5uL8lCiKuL1/4PpmjrHw5PFj+v2eZ0gYT/G31hElMUma0ssy8jRBOLi/f2C13lDVc27u51zdzKnqFm0c613Nrippm5bz81N+8ru/w6OLM7799hsWi444Tqibhtdv31GWQUKDAOElCKiYs8fPOX/yDOMEne7ww51DWxMcvb2/yP7UCeu86aR1WBEov1ZjAlqH86Zdxvrlvg3MFucskVL0shQlQXfG+6cKT8lMYsUoFTw/SXg0y8ki36M02lKXJbfXt9zfL0jynCjkCyul0NrQ1TWLhznr1ZrBYMDF5SNOTk7I0gznLE3nzdm61rsxb7ZbyqqhqGqqqkFbS5qmfP75p8xmU1+TwgDcNjXr1Zrb2xuWqxUCx2g4ZHZ0xGQyJUoyrwwSirw3YDAYkeR9X+fxNd7qlof7a8qiIMtysjzz6PyBKh1kIniNYllsWMzveXh4oCh2JEnKxeUlZ2fnjCZToiTx7JumoixLjO7Ic2+asz9R+yF+r3Wty4LV4oHF/T1VVdMfDJkenZD3B6g4Da794IwObqx/9/GDf1vuSiSC4WBInPjtoO467+xma7piTb1saYo1kTTEg4xe3GMzX5BkGYaERHpKaFFrOgNKWHqDnCjJqbclKsloHWglcVaTdBWdLtnUFXW9JU0TxqMxj6ZHSJlQtw2r3Y5t0VF3GkFM3I+pVtdsbt9iTMs9xvO4VeLRR1OCsyRNj8lsjDEFfVci44523bK8qpAiBu1z05I44mb9wP/yJz+hvL+jKUtuih2Xf/q7vDw7JreO5bfv+er9HXIy5B/9D/+EP/nRpwxVxOb+jsV2w+t3d/z11+95aLxOJEsiZJowGeV0ecZkNsZ1ljfv7hhJSdzrs3KWp7//e/zDf/znbN+9Z7XbslotyXt91ncPvHn1irPzCwaRYrtc8v79Nbta8813b3iwlk6mtMLRIrBxikHQ6I4sjZmezDh7dMrL8ZhffvEajeB42uf6L/6Wn//8C2rtNz5tp1k0HbumwgnFi7/35/4BoFssijaIyyMVkeYpeb8XdAEtVdug245BFhGFLLGyKbHSIl2NRYOKaKKMotSoOEFEgFJEPYVCoIwlF2O/bReCxvrCM+wNSASMYs3ZSBHT0S4WVHdXrJZLrlcrtG55aC3xx08xpqauHLqtwRpabeifzHj6yXNmWZ9IpohO0lYGjKUrNhTbLcuHBe/f3lEPjjEubGqM4+nHj/m93/ucQZR5KnRVcnt9RVlVrHcbGqnpPZvy5NEjpIbJaIwykqY0WNOx21Wo2QypPeXRRgKVZYyyjNHxMffffutDbq1jMp7gWoNtDU1ZUDRbMKC6ju1izf3tgka0yKOMT54+53x2hmuMp0VEfWxlqesdXVmzXq/QqeP4aIzU0JkG5yS603RVy2q5pNMtTkQUhSY6S3g+fMRoNuT0dIZ0kOV90kgQRaCQJFn+g0XlN/HQbfthWAyDnzvQo8IhCFlyH6iHh+MwAMpAEfUDwV6/s7eKF0KF1w/0rbA9J7ibmqA1M9rndPqPDqsbsJ1H8k3QUZgPzTd49Ewprz+TkULFUdARertzFSmUipEywiLQLkbrjrPUggjDqTFI8EOmiuiyjjiOybKEqJcxm024uDyjPxygooiibHn16j03t0s6E9xBpacY2SARSOIcIXKfzxVoUNb60PW81wchqOqWpm25vr3j7ftrnHOMRwOfwYegKmvqqgN8cHVdN+hOEytJkiTEcYRwjvGgx8sXTzmejijLkjSSlJ3mfl3wxTff8cW376g6jRYRVkCsUmTWI5meMX36GfHoBC0TtBE4wwcUMdDpPuTCBXQm0De98YLPGba6o9PGm0OgcMHFT6gYFV4u8tCxXwwgsTIGoUI2mmSQwuXEMs5rMA1ltaHcrrm7m7NZbVEqppemxMpnHNuuowvDojWGOI7p5T16vT5xkhzcBC0cKMqr1YaHxYooikiSjCg02sdHM549fUyeJX47HWzgm7qhaRqElIwnU9I88xKQsHwAaLUlilN6gyFZ3gepsN7tiCige9ZatHVkeTCTCCZ6dD5LbG9u0tQ18/s59/d3GGP46KMXPHn21GdohvB1P3R6Q7GqqhFSkWdZcKj096uzls5o7u/nfPvtK9arFb1+ztnpKcPJhKqqcUHvKYWP63AO7+Ztf1jH85t4CCEOUST75Zhz7rD8Av9+Omv3F3hAQ743PIZaKaXEhKXY94m+H/DYDwj8wUDHuUB/7g7upqbztc0Yje1abNd4xHlPk7Z7x1P4UJE/IGBIbzwVKYWKY38tx7GnPwu/9IokzKIRXRNTmwpTFAgc52cnnJ4dE8cRq9WW6+tb+v2MP/iD3+Gjjx6TxIK2rlmtC37+1Wv+n//6r7hdlQilGA1TZpM+WRIRRxF5ntLrJWy2GxaLNbd3SzbbmidPHvH4yQXWal69ecvV1TW7XQHCm6v0ezl5mhApRd20LBZrHh4WrDYF88WSsigxTtBoDeGZMBr2+YPf+wm/8zufYa2j1Zb1tuT67oHbu3t+8eW3bIsaGZBXKQWtNgxmZzz7/CekoynryjMcPDXUo44GgdrHlYTPk9Ih9xmc0iHQuK5D6+5g9qY7TdN4l1mkX7BGShD3Ugb9zDMfQu23eApxHguOcrgcOfqRwbY1la6pq4rF/IGH+RKLYHZ8RC/PEcJH4jTBbbTc7piMRzx++pSTkxNUoLvjJLJz6K6jriq22w2b9dYPx0FTKoCjoykfffSMOPJsQ2c1TbHj/v6Om+sbqqpmNJlwfn7OZDImz3sI4Y1yGt0ihSTLe8Sp1yo68SHix2cNQ1XXTCenZHke7icXrklPc7XWx0DdXF3xML8H5zg6PuHy8ROmsyO/9FCRl7DYhqZuWCyXOCDL8nC/usCCcj5/uWkpih3rxZLVcullaP0+w/GENPPUXCkl0toD0vtr+uH/D8cPDovj3G8LhPJ5h84JhO6oqoK6KcIPamibAtdV6K6lc56GOBj0OJ0dU2tDVWxZFVuqukBKRZL1SZIeg/6Yfn9Eko+90FJJttsK29Y4HEnaR2vvaPdwe420gjjLcCpFdi1KN9hqy/ztPY1tsKbB2Q4V91HZCBGlCGtwjUN0NU53rFYrv8nq3hPLrzi5eIwVDtNapIrJsx5xFPP5izNyU6CrDduy5OjpJZ8+fUTeGFY37/juuze82lY8/91P+Ad/9EeM64btzS3bTc13393wX/3ll3zzsCIZDMjSBKXg+ccvKOdLvvnF13z0u0/45HjK6199yxebkrdXtzz7yeek/Zg40jhT87d/9XM6KairglF/yN3VW/7iZ/8WR8ZP/v6f8ff+4/8EYeDFm7f8q3/5X/GrX35Db5SRSEEvz2hbx3A24uTyhD//R3/OHz57xvaLb/nm21fI0YB/+n/+v/GX/+IveLtcY6wBEehRnUU7y3/wn/1vefT4M2LrG7G2bb22RBt2racUYH0GWZ73mOR9hIgotwWdlL5JEZJ+2kNVC7QQ1FoTZX2G2ZB8OCVNcv9w0R1VVUEsUDJQUBAIEeGMRtiOSFecjRyXfQG3D1zfvKUqV1RNS9s06F7Eyz/6KY+evITOP8SkynjY3KOOhjy/vOC4Nyb2XjG+MNUFzXrL/fsrdCQoNy3f3K05vfiUZA1CxuSjAWePLohJqOsG1WpW1+95WC5Ro5TxoxlHZ8dkKmE8PUJZhZKKertDSUNXt6x2BceXT4gQmLbFJQlSRGErGtFPBhSbglVcEYnYI/FNQ2dahDCYpsN0mrJuKGXN4HLAxdkpk+kxR8Nzqnl5iHHQnaFrLHXRURQN+TBhmGZ0TYdLJEormqJEY0iSlNV8zduHB0ZPxvzO733MQI0pth3ttgblME1DVbRko4w4GVDMV/9d/chv3FEXAS0NTRAQBO7fr6BhSAg0z311daGRcsH8xAnYO1LuESnfoHnkSEaRR9+lj9kQUh0Cqq11ISPMu5w67TOdsB0SE5z+vNnK3s7ca1xC40QwttFBB9HZQ3O4H1ZBBQQoJpIOJh4VQ1iE8v82jr0jX1U3SBWRZRmT8ZCjoxl5noE1VEXFd9++42/+5lcslxs6rbFWoIWkrCrmD0viSDIcpKSRd9NutA4IkCJNvdNe22oavWW+WPD1N6+5mS+QQnI8G3N2fsb52RkXlyNefvIZTdPy1Rff8G//7V+yfHjg5GjG8WxCrCRt2zHo5zy7PCGNoMLhlGK3rfn69RVffPOabdX4nEQkEq+XTPoDJidnZMMRbdeh2xaBxOoO27V+Oy75gH4YDcYckONwtRwc54z2VvUi8vmcQkagIoji4I4qD2gIIUbFBptwqXxTO0pgmDYo3dK2Bc12S7Hd4qxgNJqSD4cMp0egYk8hDSiMBLI0I4695XwcLPhxDhOo1kZ7zeFqsaQuK4aTMUmaEAV3xuFowHg89JKMrvXvSThvURyTpim9Xs/b+6uA0OKXDc45kiglSwde/uEJhYfge6s7b1inO/p5ilQifJ7FdA3lbktZVpiupapKmrrh9PSY84sLjo9PiJLYL0+6LlATfcPV1DVVWRIHJKnruoD0W+qm4fr6htev39J1HScnx1xcnNMf9hEypqp8tBN4ujBShjD68PvfsqNcLg7ulnt9tteOBT2Zdd6JUXsWl7P2v9FI7mn5MrgyqjB8CqRSIe9VIJT6UKPCNeJ+zcQjDIeBlmzDdYA1nuETsl5FMOyCg2x4/1145ofYD6R+TLXGG785LEKH4ReJiCNwFt21NF2JtJrhcMDRbEiSpWgLb9/fsl6t+fyTj3j50VOUkjRNy/ure3715Sv+1c9+wZevbmm1I88E02HP5yMb57P1tGGzqSiqms26oGkNo9GYZ8+eMBr22e0Kvvn6K7755rVH8qPo8BMN+31efPSCp89f8PLz36GuW25u7vjZz/6SV69fo+KEsmr8oCUjHj99zJ/+6R8zmU64f1iw2hXcLpb863/zl3z9zbfczR9QePdS6byZjsgGPP/RTzh+/IxKW1pj6azD6H28he+DZXAqciL4EjsfDSJlMKI0Gq3bA43WBUMbYUzIEvfXRiQjv6jc6yDDYgIskXAMU8c0sQxUDV1JXRc0xZblYsl2tcJoy/joiPF47E0eW2+ms93uaNqG47Njzi8eMZlMUFEUdPomMC06mqZmVxSs1lu2RYWIYiyOKI4Yjkb86Eef8uTRBVq3WNfR1CXX795yfXUFQnL55ClPnj1jNJ6gpMJY653jO6/p7w8zsp7vez3V1ysxjdHEynuVaGMZjcbecR0XssY1Nkj11usV89sbNtsNWS/n7PyC88tHjCdTbyZnLZ4JYwDBZrdjs9nR7/eJ4git9YGdZHTHrtixW2/Y7XZ0bUeW5YwmM5/lKRVtuLcRbZBVhHtGdz9YN35wWPzuy//Say2s802EV5yDVAfxZBwldF2Hti0ijlBOIoGqKnh/5QW5TV1SNwXYBt0YunJDaQUrAKHIBiNOzp6RZyPyfEQbR3R1QXV/C0oSZ30QESbLsMJSb+Z0xlJVjb9ARyckQpGoCKEitIt8MDItUSIRZkJXrkF5kantWpxpqMqS+fyeyfERvdEYZwV102Daht99coZdP2Ad9B+d8fHHnyA3PhTz3e0DV5uKbet4eTKF7Y6H21sWN3f84qt3vC8sf3O7QvZ6pKnfJkvrsKXmr//6G+bG8tS0NHfXbLc7ltbyZ//TP6e+m/Pp86fooqY37KPihI2T/PE//gdgLP/RZ/8pu82G7759xR//yR8wzlPSOOXP/vBz/uP/+X/I/+P/+i/5v/+/fsaf/ft/wM/+9V/w5dU9/+R//Z9x9c3XfHb2BLHY8frVFe83Bemgz1ffvOPrm7vDllFKQdsZnHGcfPoTVpua7ud/y9HRKcPeEJen6LbD2RaR5MRp7mMzZOSFzk7jdHtoMpa7LWBJpWFYPtCzzm+/W03dLJG7HcOsz3gyQwpBEsd01iFQOGeJs4RUShQReueQieTZSQ+5umF9845K71gVGwrlmHx8wePHZ8yOX+BcRNFWXN/OaZzl0acvOD06IkUSI9FVjbEt0mrQGpFI+uMB87sl77674urtNfFHa076p8xGY07HI0Z5RtdU1OUOV7XsdjXrsiBKNU8uj7g8e0S9bkhkgmk12rYQaFW7quT4xTOePX2OqKSnN1mDk5F/wCK5+/o74n7M6fkZlxfPKK7fo7uGutxgOk//UlmMyRTPn7/kbHZE5CLiuI9rXDBmaKjrinpX0lQtu23Fw8Mal3r3XSFiZKuoNxVFvabrNA/vN3Qjx8d/9JjBYEBfJSgriYm5enVF/7MhTVVR65Z0FNPVFbvNww8Wld/EoymLMPwFIyEhgiOn39b5haAPq5ff0+T8uuJn3xQR3Dv3r+fCX3laqFBxyN6LkHGCijy15vt6IR+C7HDRXtsjwXXgYpTbm+T4BxOhEYDvUV9xH5q0Qzi7ONBVhZAIY5GuI4sjkij8EFIGJCwGFLuyZb0piZUgy/oksae223LLclXz1//u57x9e82uaIONvMQYx2K181SrruHsdMZkNEAp4fO9EGRZHPKzIhy+QY2jiPPzM07OLsjznJOTI87Pz5lOJiRJ6mlUwNHsmKLY8e6V4ONnj3l0dozVms3Wx0IMcj8Et23LtmpZVx2723vm25rG+PgRFfncxzgS9LKYRGq291fMpUPomiwfeHOdtkUKS6REOK8Gp31Tq4RARF6XjfO0LKtburZFW4N0+8xgjy668N466RcKNujjPuhe/fUUCeudGk2FbrfYaodpWiRe9xJnA7LBmKw/Qii/vRYCYhUhYkUcxwckcW+n4AdFgTGGuq5Zr9cUW6857GWZd9ZWEUpFZFlKksYH3Y4xhiiKiRO/REiSlDjQTr0G0Udo+ExMR5zEqNhfUAcECwHWedMRoxFWMx6MiJQIjYqmKncsF3PquiWJI/r9HhcXF0xmE7LM29N3nf5AiQyIvDXeLbKpG3rT7OBYSDDx2ay3PKxWJGnMk6ePmR1NybKU/Tqn7jpcq/15kMFVVihckF78th3z92/9rb4fFgm5lcKfR2eMR/qMDrzSUOG8sDrUEdjrGGWoGyJog4VUCOWZDTKKkCryfxYEbx8QzPBFBYE+742XhLMIFyNCOLnvwv/bAyvs3ToDHVzgey0lP3w9hx8anSCOIIkFEi99yvOMUS8hSRKcs9zPV3z71XdkccTTR6fE0rFaeNr3z3/5Dd+8veXNzRLtFEksyVI/nNzeLbmbg+kscRwxGg6II8V4PEYAjx494snjRwwGfSIV8enHL/koRB1kvR5KqbCsF4zHY6azY4/KO+haTd7LGfQzRpMJu11BUdUM+gMuLi+ZjIformO9WnM3X7Dc7ljuSm7u79HW6zmVUljhl4PHF4+ZXTxmud1RLwucTHyms4pDJyIOw90h/uS/8a77558JA0+QLAQTL2Mtwujw/sPBeI0P19r++RYrR6osiTQI26J1RV1u2K6WbDY7hJDMjqccn50zGg0BPGrWdgjg+PSE6eyYwWDo/UjMhxxE3XmH2aKsWK83rNZbGq3J+jFxktHr9zk5PeL5i6ekWUJRlNiuZDW/5+b6hihOePbRxzx++pws74foP9DWI6lt2wWHU18zHZ6VADboeCWR8j1EEsdMplMipTCmw5qWqtix26xZLRbsdluiOOLJ8+ccn50zHAyJ4sRLUQJdnz1qqDu26w1d25BMxlhjqKsCJRVd11IWO7a7LW3dkCYpk9MTBqNxQDktm/WW3WbNeDwJWmBfR3Vbs92sf7Bu/OCwaLNRCKD2k63fDtZg2hCKq6mbHRYfSoquQcbEeY8ozXDG0hqDyjKGeY+6qWirJjQ6ofCoCBdlXK032HWJ5R4VpaRJRBTnCKGIO0WW50QqI0tShv0ZxkrqwC13bYHTGi0U1hpkW4OukMJCJ0myjMngnCjyBhJe42FonWVblCx3NUVdMuj3kSqnc4Y0slSbBcNpn4vHT3G7ku16zWqx4fXbe754u0AnCR89u6BcLVlf3/NXf/sVf32/4/j8EWm/j7QaJbxFdydgtV2zeLDopuCbVwYen/Lod1/w02HOWb/Hl03NdDqkLDfESc6f/0/+R8RJytnxFNF1SCU5OT/mYpRTr+7ZFjFNmpGlOVJGNJst5WrN/d0tTjdcnM0476fsiLh+fYVsKt6v15TGoZKU2+v7wE/HvydCgHEkWY98OmXzcM1Ca169/YJsMGV8dM7R9IgsjnHFliRKSOMEXEUkFSpKkGmG7jpiBL04xjiNtJqkFdS7mrrteLhbkI5PGfVzrOm4ubtCCkccpWRZn1gl4Ax1WVBJcdDInk0Tkq6jerijqZfIRDI8OWI663N5fko/H+I6SdlUlK3m8rOX5HlKmsaM4x6macFqpDA41/l8xK5DJhGD8Zj7N0vu1iVuOiLOEx8Mm3gb66PZhFlviN4ULFYrxDDm7OIJ56fHTIdTMpWgUoltWmynaUMYa7mrWO0qPv78mEHSp2s7T+XVGqu8GQjOa2pmwxHx+SVdq6mKkqoqvNtpU1Hokn424fj0jNl4Qp5kyNbhjEDr1j9kjaCpO7S21LuS9XrDotryeHCE2dRs2gLdLFk/bGDoHQ7lY8FHzx5xPDxGuQy0dypEW95+8Zaj0zOUFYjEGwcoAdOTox8sKr+Jh0zSAxV0jyjus6Z8QQ227MFUZh8I7djnw4lAAwEOeOIH+3khQ97i3sAmDHJS7jfx6tBYH+helrD5A+EUzin2eY9ew77XBMnQUPmv5xmx/teHwPc9Pcz5wVMIgXEQK8cwUyTKNwD7QxtLWTa8fXfDu/d3zEY9Lk9PvK6s6dCm4fb2gXfvrilLr6Wx1uekOmcOpgIqUqRpQpamZJkfSHr9PsfHx0ynU3p5jzj1NJvTM4lQKVGWEUcxSZaSJkkI8pYHCuhwMmY0HpKmCb08I0siOmcOAx3O0WrDaleyLiqKRoOtaLTxNCEXqHVGY9sG2opq9UC9WLCZ37B7uOHk7JI476PxDWgUyWBDHpAPIIkiRBojXdBoG03XNjRNjdEdkQqZV6HpdXvKj5NYASIMeW5vFCJFqAU+FFuYBtvVKGdIktgzVKKEKO0T5UPirB/QvSg0LSETTcX+egrvhTW+0W7D0mmz2XB3d0/TtmRp6qOYlLdbdzgfXB0s64WUpFHkqVDSX69KxQFBEuG9dME9tMM6H5aNkBBiLHDO01+tX5rooEns5TlScNAVVWXlHSvTlNnxEcPhMARZK7rg2BopGUYXb3JR1w3rzY75w4Km7VAqpqwattsdZVlQlCVRFDOdzjg9O2E4HKAiFRolgXWCtusoiwoHRFEUckHDnfh9rd1vyRElcWBHfHCklAGYE1YE514/aDgR3ovDwskf+wFgf/0S7k0n/AAvgkmItAapNDJKiCIfqC6lRxz3KPveVMWTJPbDos9NPAyLh+OD8yqePBwWZP5v/TwrD4Oi3bNAcCSxII0EqYI0iuhFgiT1y4BiU/D1F99wd33L5fkJsYDVfM7d/YK3728pdsX+nQqO+4I4UpR1w+3DmrbtkELw6PyU05MjTo6mnlIOnJycMhz2UFHEYBST9XqkaU6a91Aq9gZkUnrDG+MXkkZ3friSAqMNdVNxlp7Q1AKnO5T0ZjhtXaGt5WH+wK4osM4bNO4RP/9o8M8alWYMRhPu7+csv/6OpulIeyPOHj1ncnKOE5HXdipFF2nU3uAmGK/JWKGkQ6OxXU3bVGjdsXc3dcZgmwZjvDZRhGebl0Ds60fIV1cCKz0VE91iXE1V7yg2a+qyIskSprMpp6dnDMdThIp8DTD2oDEejMb0egMvqwh0Zm00ptPUwWF2vdmyWG3Y7ApUkhDFMSqJyPsZI+fo9Xu02iOF1WbFbr1hNBrz5NlTLh4/Jc0H/pqze0TcBpOcgrKskJHPqBTOO0UDfukW+QJvrKE36NMfDnBA17aslwvu7u4oNmtUFHFydsbR8QnDyZQ4yw711Oc7CkTIk9e6Y1f4+m2tN3Nrm5pNcFAtioK2aYnjmPF4wmQ6o9/30UHGelp/WRXstgWzo2NyFfllijVUhdc2/mDd+KG/fPrsj6i7jqbTIWTZYE2DsBrTFrim9C5DVmPqCtNVfmZsG/Isoz+Z0lkf0G6tIRMpjg6nIva+WTiQSY9Bb4zEZ5wQKS9UDmYMWaSIlPR0Hq39YKgbtNYI0+GM5747EU6YsBgV+cKFD53WnUaSIiPpH66xJBWKJDtmOhUIJ8AZ2rrAdDuU1eRHI6ZnM2zd0JUV5WbNu7fX/OLb97xfVYzPZ0yjiLuvvuHL794xjyP+4M9/j/l3dwi8/bYzDqcgiSO6quThfk2SSgZnz/jkJ5/weNCDsuHqdsHg+QvOTs/ZzuegYs6Pj4hwuLqmrWvSPMNIQZbmNNst91dX9CdTkqgiS3Pev7liUxfEoz5pnrPelnzzy19R7DaYzqCkoGgNjbFslivWuw29vOc3QFKGUE6HSmKqusYYF+g5UFaFt3uIY1Ll+fmJalltDLptfTCrscRZyqA3Ik0TXNfS6YZRDGlboduSTuaUnaYoS7T0uhu0F7PXSmOEohf7LXkSJ2A6yq6j3+/RFx3Fu3c0N28xriIeTXj87AmTQR9lFHSC9XbNSiRkJ0ecn50iGoNUDozfJlrdecfHuqIoaq+LXBYsrhd89+aaejDg089/wtnkDLGtKOodcc8PnPWuRFuHTQX9SY+Li0v6KiZ2CrQJwvwO22nq3Y5aN9Rth5YwnpwQqRSrLK7r6DpNHBukkHR1w3q1oEvg7GTMdn7DZvNAUT3glCHOFUfnjzieHpNJv9VPkhQpPPLRta13SWtbmqal2TbM36/48uffcRuvudA5q7ua7XZDZQxaWIZqwMXlKRcnl2TJiET1MY30FuNNR7GuuH17z64umQ5GpL2UKEpoFiWr+8UPFpXfxGNwfELYmR/0BP7+9Q9wqz36saePuH1EDB+arT0Vy4HXNu51bVIe6FneqtqjUXtaqtfV+M/9cIgPhjo4/znCa74O+Y77odFxGEr91/O/9E1eGBNDoycdHqVEgjD0UslkmCJp/OJN+Aej6yw3197F7+52iQqN+b7Rt2GQtc55NFL4rFU/MPr+ru0s2jjyXo/pdEqep8RxxOzoiJOzM/I8JzoELisfcSD3iJUffLQxSGG9ayleU9N2HUVV0rReG1g1HW3dUjUtSvpr2CJ8k1C0tBpU5LxJV3hvHcLTDKXESkWSJERW0FU7bl9/RbtZcHz5mGw0gyjGCj8s6k6DMyghMMJhOkdnrTcw0n5jXGw34TyBkxFCtniXU7+AsAfEN5yzQBNWShFHEqcM0miEqVFGE0tFkuTEcYRKcmTSQyZ9ZJx7ypiU3rRIqRCr4tGxA23WQdd1LBdLFssly+WS5XKFc5Y0TYikxAYU1Vn7wbDEgVI+hiSK/TNbBOTo+yiP0YZy563lRZQyDeffN4vysGTZI1Fd1xJHil6eHejcQkCeZWTZGXmvx6Df994Iwtvk77Vqe9MUYzRVVbJeb7m6uefd1RVdp6nbFtabEENQkecpJ6cnHJ0c0+/3QgMfHAmdx0mMtqxXa9qmpT/cG02pgIb+9hncTM7O2UdMfMhmDVRl4x06TduigxGL28f9wK8PbvvaIr9Xew66b/8eyoC8y8gvNGSodSoMIXsa/b6WucOg6M+12l87/tUDk2P/3/2w6AJKur+dgvGYABk+XwpIIkkaK9JYkicxEfiYIN0xv51zc3VL2/qGf7fbUewsxWbLII+ZTC5w8pav31z7rx2+f2sdRdVSVt4o7Ph4xtMnj+hlMVob8rzP8cmxf16HwTiOPd3cv46PRnP4bFMXXDS986iiM47FYk5dll6v17XsdluEEIyGffIspahr5g9ztDbe1CwYPUVRRKx8NiEiIsmHqDhjsVzxMJ9juo44WR/uT5XkNK0JunoF+HgSqTxbYZgnpJFAuRbTlph6h+68c72VMRiBEwYhO58sIJVn00iFjGKiOHxEMTby+eutralEge02uHoD1jE5OmJ2cszR8RF51sMh/QIbQRTFJGlO3h+QZTkqirAmUGi1DrFBDdvtlvlixe18yXyxQhvDeDikPxxSNx0Cr5Wu64rdbkeEAWs4OTn2H2enRHEW1md+oDKdN4zZrn22bKeNl0wJATJEPznrATDA4oG2LM+8KU/Xsl6tuL+/p2tbjk5POT49ZzAcEMUJQqnDQtT3HPpwfxrrAYj7uztub+9omjZEGO0wpqMsC9pOMxqOOT0/Zzo99u7UUn2IzwiutOv1lrZt6ftb6ns/X/uDdeMHh8WeWdPvDelcCkREkYTYPzTrekdR7YIpQhdE8C1ON3T1juV6S1U35P0RUTJAG0FHh+orpErDNt1vIKVSCCSJ9JsQkeQopVDOEamIOMnQXUHXaGKl0J1v5AQaFwmUjImdbzgsjratcMIXGgAnLT7Wl0OWiVICEcfoVhMFYa+SijyRuChlMhly8uiEoYRq/sD91TX39wv+zd98xUJ7bc8wj3n/5desHx6YfP6E3zmecT6c8n/6q69p6wbju0biJCWJY1aLLcv1hhefP+KPf/oxT3sZelWw3Lbs0iE//t2fMohjsqMjrIvQRYWLJJFQrOZLekcTpnlGkqTMzs6RcUxRVbx+85Z2V/P67XtEqkiSGOEEy+Wa28WaZrOmP4lJs5xyU6CdpVgskVHEOO/5hizN6LLKc9Njn5XFaErVGYTzTXRZlqzvbjmejIn6A+IsxQmFcVBjaLoaVbUUXcN0PGGS9kiiiMxssa2/VuKTE2bxKYYMZ/F299qw2e5ocLDckClJbDqEs2T9HqPpEfVmA7HGVHeIxNA/OWd6fsZkMiN1AtM26K7GKUlvNOXo+JjY+Ywlj6g4TNsGXQS+uSxrmqrj3ddv+Pr6HauqQs4uENphNDSrHcvlEiM0dbGlMiV5mnH26BF5kjLuDYmM5+93devzCkMzb3TLer3Bqpi66TDaIoTXMkrXeiOT4ArXlBUtHYOjAXkaU+/WCKlBGuJhznR6TL/XY5j0sU2HMBbXdN76WYDtPLWsa0qqumW7KPn2u3e8WVxjjx2d7XxMQlehZjnnpyfMRmOG/TFZPiaL+rgGbNfRlA3bVcH8+oHtbsem3HE0HgMCpRI2yzvK7ofpCr+JR5ykfkEVTGHi6ANyojsd8pJadNOiO5+PtddG7I89Wugp+mGjLQg1bo8ohhiLXxsGw5583xS50Dq5fSUPtB/nxbaHf2Y/EHs+0Evxi68w9O6xgP3wKPYaOSeRwjAeJIz6CdZWaG3RzjdeRjseHhYsH1a+lgVtkdhTxiJFv5/T72VEUU1nDMY6EOaD7boQDPp9Ls4vOD09Q0pPUZzOpoxGI+IoCRth5wco/NBiXIfQmoDDeepjnOIEGO2H1qqsMM5RtR2rXUVZFOyKkjSOSNIU0Whu5ms2VYONcuIoQUYyaEo8UwYVQdxDDab0Tx4xUDFduWF7f83D9TviSJHmPUQUHZBZf8okUbx30Q7DtXQ442M/6rr0P38UI9oWZO3PpTJegyK8VvUw1UuBUBGRAyG8K3OkG2JqEjRZJInjgO4lKTLNEXEOUeaHbCGCsYI6nHOH164656lhD4slb9689Rb2VUXbNCRJ7E0slKJrNXVd4Yx/xsZR7J/BsSKKQ5NP0LyKwIB2BHOGDfO7W6qyJOsN0ZftQX+r9juQcO0oIdFtTS+NyfM0oAwefcgzr7GMkni/SsYRBoEwgO5Dpne7HYvFkrv7Oa9ev+fq+o5eL6cs/c/gnGUwHHB6dsLZ+SnpPuMsaNuUCAti43Da+KDt9YrBYOQb3LCkqZv6/49V5r8fR5znSCH8UkZ8oBviQq6lsR8ohsFMa1+bPgxuflyTUhyuYxFqWag+YaAKr78fDMNSSx42EsDeOXWv/XZ7RkVo1fcbMUIEyqGFdjjh6+zhu/q+Ucf3dm/CObJIMEwVeex1wbYzlNs19W7Ldr1jn39XFRVN3TCd9BkNTojSGOMk376/8csI1CFg3ev8vGldv9fj5YsXnBwfsVmvaNuO45MBvf7QaxP3yKwLOX6BEUSoqdYY78apO2rTEkcJdaO9QUlwwbZao1uv5y2KgsGgx8PDkofFEu0cKoqJ8XpRX6+UR95kjIhzRDokkYqJTJEQ0CtLWWzJnMDhmQMqUoGpYpES4kgER2+N7hp0U2O61rMW9q7SMujhxd5kJjh/GuNRbAcWiRMxQjha01JSIcyWRu8YporT03NOTk8YjEckaYa1lrbxrrFCSuIkI+8PSeIUIWRwyHVoHbK0u47dtuDu/oGbuwUPqy1FUTGajJlOJyRZSlk2lNsdy/mCh/sHLo5HTIc5R6dHHE1H9Pp9oiAtcGFRZTrNbrthfnfHcrn01NEkC06k/ro21mt8ddchw+BvO00WJ5iuZbfVlGVBnmecnZ8znkxI8364vPduwEHPG2JVbDAf6rqOxXLJV199zbu374njiLKsKMsCh78/R8MRZ+eXzI5OyPJeuJf84Nm1DVXlnazrugoRJjboZhVxEpOmyQ/WjR8cFr95/zUqyejlU/q9MVopojQlFo5JljPqjagtNJ3PgLK6wbQtXUCZhNPEcYQ2AisMsc+URgmPHAqZ0GlLkqcoIaiqArQmdSVW+4wjGymEktS6wYkIl/fp2hbhNAjvPicihTGGarf1WVRaY12H0RVYRzrwGVMiTonjlCxNvJua7nDWoaVvxIQTpFFGvxfz6LiP2+7Y6Yb1YsHNw4K/+fYtT/7op/xhJPln//xnZMKyaXY8/vFTPv74JWkjuPr6Lb/88pq67bBCkmUJSRTT76cY1zGcjvj0s2c8Gk/Q24L1tuLNzZzRj3+MrWve3t4wmE7p50P/4JOK4WiIynoUu5ok3mKigl6/z+zklJHRTGcTvv3Ft7y/uiW6nLBZzNltdpRVTdkarIm5n9/xoCWv3lyx2xWc/uSnzK/n0KwPPPPJZIIUEV1nODo6wU1OkSpBa00sBNXNFblwNMprEpyQDEYDziKfodkZR+00ddeiIk9jksbhmo5Ot+y0Ju0dI9WQyOHNWrQljntkJwOm/T6pFLTVmqLceSGwkpimJY2lt/a3Nfmsz/mLl0z6U5RUxE5iiiWaljhNyEYjUiGhM0jhw1utdrR1Q9u1uNZRbGpWNwv+8m9+yaKrkOOcXm9IPj0mRlGXNcvbO3bFgkbs2K5WuEhxfHbOcX+Es4ZUyBBf4IuJ7nx20vZ6wf1qhxGW+cOSQlqWqwfOjs69I6WQOGN99QymAlhDtd3StBrZtljh6B3NmB7NyKVfECRCYpS3mvdBr/4+1dq7krVVR7ksuXs35/Xr92y6HSfpGNUJGmU5/uiMo6MTeumAPM2IVEKaDBCNoms6uqbBtDVdp/39V5e0psPFEUKmWA1CRoyG/R8sKr+Jx+r+ziM7idewxGlKFKmDy6O1/2/u/qxHsi1N08OetdYebTbz2T3mOFOOJyuzhq5ukt1Uk6BEqps3AiEI0g8QoP+iO13ojoAuJFAgQUEQwG422KzuomrKqsqqzMo8U8zhs9u4570GXaxt5pGkcLoFiiCz9sFBhHuYu5ub7b32+r7vfZ/X+qIv8sQ66fzd70NZ6C5gQdxPQLbTPWBrXbwPde821Nug4t0EZqu82v7dWXDbXMxf37R1ZSeCbaac2Fout/uye41WV0hYvKQzUrA/SRmkAcZ5I75D+KAzZ9Gt7zYqAWma0uv3iJJetzeUJKkhSVPCYEPTWKw3L3VQIEcUKg729zg6PCBJErJsjTaapmlpm6bbNHVQDSG8ZKp78lpryqbBOej3+7jUF7qmkwHVdYuxjk1RUVUt67VvTvbiEKSidYL3NwtyDWm/R9AbovIKJ5cIXXdFviQZjBkfnjLaP0ZFCTRTdFlwcfmOWykY7R8Qpr3tLNLLz0JFHPksRCl84SGxOBcQxyF1HBOEIclgRJgOIOzjgggjth6qrvDpPnAOPGTQv6fSaSLXkipLX0niyPu/RBghg6gjq/oJNeJ+2rf1bTnh3wMhBW3TcnM359XrN9zd3e2679oYIhF101xFURVsNjnOwXg0pJcmqED5a0DJXVGxPbGsAG002XrN1eUlq8XC/0bCd9BlV2xZ53abcClAYqmrkjgKiELVUYI9TdWTVdXu2hBim6tnu4IFHJayyFksF9zc3nJ+ccXl5Q2brPR+zjAgTRPiNGE8HjGdTUnSZFes/BqF2PpzvCgKVosVV5dXHB6eoAKHcZa2qfye5G/Z0ZRV5xE0XmUlP5THS0TQyYe7Y+tt+uATu6xGKeV9USbuYwGc/5AtZXXbMNie71tP9zZHcVsYus7722nw/b9/0KjZrnhb1ZinCTuE7B6106i6LRMHZy1SWkZJzKQfkgTeo5lnGcubG2IFB3sjTHPEcrGkrkrCwFtP4tgThM9vVpxf3VG1BoRXuoVh4AuWbl0+Ojrg8aMzokAyny/Q2vL4qadk2i6LyHZTI7qCji6CKQwjojjsvp//vQUe3FfkGWVZkeUlrTY+gq5pKIuM21vFu/NLrm/nPgM7Shj0R0R3K+/D7yp36/D/Npkhkz4jB6GSZKsFq/mCuirpDcak/RFR3COKE+//lBYlu6lsIFG0mDqgUo5Wdfc7GSKiHqjEZ7V296JuNdsVilvIm28y+ZiOxlREtmLUCzk9nXF0tEfa7/vpnBA+p7H2UJs4TkmSHlHkX1OB877yVtM0DVVdkW0y7u7m3N7NyfIcZw29NGY6HTHs9zEOb8+ZL9hsNpRFThqFHB/sMR31CCM/wDLW7ppibatZr9ZcnF8wv7ulqkq01vRUuNu/bRvL2+tm66dum5ooDLrpniVJe/R6PUbjMSrwoLXd3aAD2xlrd+dA2/rfa7PJ+PrrF3zx5Teslism4yHWeuBY2kvppT1G4ymD4ZgwihCdjcBurRFVSVmUFEXpz6XNhuneHkHgyeg4CMP/HtEZg9ljqqZlWTXcbc6JlSSKAo+KDSKw0E/7pDKkl0Q4EdNWNQaHdYI4ChEOTIcPN3WFaUpE4DsPHskrUShkFDEc9bHWUNY1bVliG01FQN12MQJNQVSsaIs1dVsiJDgV0E9ikrhPMhqRiMDre9sWoxu0M2hnIEwRSc93SIPO+K9gEAaEeOpgbQzONTzfC3k6CFl/c40QjuvLGwrV57f/vX+HB6MY/f6KPygL2jbl7NPv8f2nT0iJuXn3loubW8K9CfrNW/qjIYN+isIyms7oj0KixZznD098cWWhyBouzpc8+DcPGPRGmDBhubjD5A3zuwUkKU1V0Y9CLl685ld/fsPDj55xdHjMcDggjSMmvSGpDKk2OfrO8ouffcH1+RxCQdVW9KKQfLFivS643axZGcvJJz/gwff6/OF//H+EdERdVygE/f6IZr1hsH9Cb7CPdhaLw2UZi9cv+Ob8K377f/t/YDKYEauYWAaEShGHEaPAZ2hqA9pZJBbR5Mh1S+scqITDsydIBljnPVNSCExVUNY5rWkJVcxwdshssk+7XDN/+5oizXn6eIwyOcnRlNOHJ0wHB4RO4aqabH1FmW0QcQiDAWnUQ2qLU77zVbWWUPixfpMVbJYZi+WCd9d32NMhP3zyHWRjuDm/wcUxo37K5mbN+zdvKaucVnqtd5pGjPsDIiFpTIPWDXRUrMZo2rIiu97wq7/4FS+Wd8g0xErJwaMjyrrC4M3mSniQUKN9F39ze0Ppag4+fo4UkmiYEKiQpJ8wTPrYsgFjaDFIJRDGh5gb09C2NVXZUmU1q9s1t1cLfvWrr/ni/CV2YJjqhHVT8vD7z3kw3iOQETLsk4R9TNVAY9GV33hbY6nWOfOrFbfXc/L1kl/+7G/4/AefM5ADyss7ist3XL14862Lym/iUS59hIAOQ9oun8tnx6kPuuO+OKCTWvlBTtdJ72Rc282KFNvp4VYx6jfO0m33Ml1HeddVlx0e/sMue3d0cjnR+YF208gt4ObD/3ewlO3GeDtNufcwehuQI40D9qcD4sjSVg6DJApDkjiGGAb9lDhUKEIO9maMxxOCMOrANZaiqHBAECjC0PuKtREd9MARRyFH+3sMBkPKquTN23OapqIoKjbr3PvRukJWqIAwTgnCCBUENFpze7ekbRtOTs8IAo8l103LYr4kLytabVksNzhjyYtyFyydVZpl0XCzqdFBj+HhKePplMr4aamzBqECorTP7OiUyeEp4dBnZynbIxkMaZuG9WKOMJpeEiGC2BPkrL/fRLH3+cmuGBLWehiRGSBxBHGPeDBGxX2sirBSobvJje6Ik6aT8Rpk150HIR2RtCTS0o8D+mHsWUPSx4546dp2M/YBrOjXirnunC5LLq+uubi6oqx9qLUAimzDerPpCIaOqjXMl2tWm4IoTjg+PqLX86RSoVRXKPqfTTfps86wWa+4vrwi22Sd5MkzCLZqDrbnebclQjjauqEqCw/h6YptpPB+tg8Kxe0fW/+w7eSxWZZzc33FYrkkz0uKsmGdFWhtGAwGzKZjhv2U/nDAYDgkThN/rcptIePuu+3asFptePvmHVdXV7z45htOTk4YTSbUTU2+WbPJ/vapKKos8/su6eEzKlC7TFap1P251K0nW18h0BV7FuW22W5dUcjuQ3+udh+7XcXmdkWiPyW2/nB+rVB0XZHoM0u38mX3350YbieSv6aL9U9QbNfY3ZrsiAPBbBAyShShbGmygvViTiAsB/tTBv0+603mi2ARkPYSkjRCCCirmhevLzi/XoEMicKQfi+mn8Y4HK02hKHiYH9KkkQ+BuHyGqFC2tbsmmN1XVHmBQ5HnKbEcQII1puMpm6Y7c2YzWaoIOwUHIq21b6Zsc64vL7xlp/WEI28V3md5VzczLlb5TRWcLx3yNHpGZuq5e2Lr1HCobuCuz8cMZ5OaQg8rRkPActXc5oiZzrZI4liVOitLmEgCQIIFIQSQgWBAyM00iU0yqsZZBgjoj5WJQjx4QTVazi6t/9+cub8RBNnCYRhb5zw7GTI6eGEuJd0sByLaQ11WdDWNVEU+8Zk95pZ6/MYW62pm5Ysy1kuFqyWS7IsQwo42JuAUBjnfEa8gE1e8PbdOessIwwD9qdjTg/3mY0G3gLg2MW1WOfQ2rBebbi8uOTm+oa6rthmttrdOe39haKziVhnkUBbV+i2ZjQe0uv3umm+8vVTFO32BNvbvY+Uuae5th3Z9PbulouLa7786mtubm6x1hLFe8xmM/b2DxiNRvQHA+I47eI7PMhMt16q2ja1n7rWNet1xt18wbu375lMJ/T7PZxzlGVO89+HhsrmhlGcoiOB7Q0g6lO1GqcipAqJYg/XMBhca2nKHK0bwjgmjPtUWUVb5YQdVKZqGgwWBRD4m4VzglD6DEfVS5AGJv0U2R/QNv5EsDiytfXZX1FM2B8hioKwn3o/RlWBCgldgCkLpPWTwiAKSUWAcRohLLap2TQV0mp6sUfepgjaRhMEMbFSDAcRP3mcYtd35NkK08LL62tOvv8Zn3/nM6ovvuaP/vIrNtrxk9/7Hp8+PiNximaRsXy/4Kc/+4Z3i4y940PiSBFKcK0j31SsN3OSQcTepEe1WPHul6/5+VdvuJEBfycQWN1Qzudc/uolN5sF/f19UD3k3YpRP2QwStm8zviv//kf8OTpMx4/PGVvMCEJFL/42d+g+j3ifsrN5Q3vrpecPtynKjYM9/cYRDOMEbR1i5wd0J8eM+gN+f3/1f+eP/jP/mPqpsRoH1Q7+eHnRAcPqCvdTUIcxWJOtrwlTIYkvQRtatbLBUpBEkXEKiSJUtK4743ECGIVoJyhdhU4TW96inAKU/nuRgtYIYhlQCpCZFuTiA8QvgpOPv2YUaQ5GDmO04AnD4cMogRpHU2VYeoS3dS0uqWOIvrJCIz08qFA0ZQFpouxuLu6pKwr7pYZi7okPRnyb3zvc2bRiPxuSbBq+eb8LcV8QRTuc/7qa0pX0x+nPPv+Z5weP0AYEMqhUJjGIIylqgqsEBgjuLu+483dBdHTMb/3e79LUDuKTUm+mHt5FN0Eymi00VhChIT9vSlX6xWDk2eopiSMDHEYIC2oKMS0HsfvFBjjEEpiW9Da0JQ1q+s1F9d3FHVB3mTkbUFdOJpQc/rsmOPpCaGLCJKEOBwgGkddth5n3/oOe1VWLJcFy82aly+/Yb64ZPHHG/7wwQE/ev4J5vqOi/PX8ODbl43fxKM3GgH4Yl6FyEDtvISy879sC0HRFYW7jvkH4Ae/cbqfYOw64gJkJyvd7bvZ7ou33sOuw646L6DZbm5951G4brLYdS3vp4v333dLJ5TdFPFD/xkClPPPKRCOcaoYJ6Bcu/NmBWFI2h8gkAyGQ/oDHyV0+uCE8XiM1g3ZpuD6dsXr1xe+WLOWKPBSW2Us2vhNWr+fMp1OkBLKouT25paiLAjDiLbVKKU8GMA5ZBDR63mvdRjFNE3DF1+95Or6hifPnvLZZ58yGA4pi4pXb96yXmdobSirGqstdWtJ+z2mewf0+n0u8zmli0inEw4ePmO2v0fr4Obqmsq2SKkYTGaMDo4IekMfsxRGhEKSDoY4IdnkBUm/z/7RCaiIsij9VCyJSJLIT2Ss97oIZ3FGEljt5eZxSpCOIYxxKsQiCHBoawmco9UajO6myA6DL4YCLInQDEMYxgFJJBHK0XQTVVO3RCIgkAlCeamvgA4uInF4eXu2ybi48IHSSRRzcnxEf9gH61itFrx7+5Ysy6iqmqJueff+krIsOTk54tGjM5IkwjndUXrZdbql9KHli8WCu+sbmqpkMOwxHA4RCCptEWrbXGHX4PDeRemz9HRDLwkI1FaevaUuup0E0XUU4S0R0DnI1htevX7lA6vDkF6/RxCGVHVDGEUcHx8y25uRxCFpr0cUxx0cyb/Gvi6xmFZTVzVZUfL1Vy95/eol2Trj5ddfMxkPefL8KRbYrFbURfk/1JLzP9qxpZkaa3HorlDzG9V7oun2z65Y/GDSKLvFZle8uQ9AXt2auCvhtiPG7nFOqV3B7t/fbTyRX6Csk7up4jamaMec/qARwm5965o1Ygvx8s2MXePEOR9FM4iZDnpI25KtlpTza7Cavb0J/UGPqmy4vLxFCDg52Wc2GyGEv04vLu/44ps3VI0PcY/jiGEvIU38uackxGFEEges12vevT3n+nbJ4cERbWsoy4o8y7m8vGS5XNIfDjg+PiYIY0+gbzRfvnhF+8U3nJ6d8uDshOFwgHCO84trFl0jJ7i88VEYQcDJ6Rl7+3vcLFbUrW/QJ/0Bjz/6hI+/8x2cCrm5vsHkaxyCMO1zdPaA0WTCpqhoay811mVBsZoThjFKWPr9BIPyMRnCESjpozekQwq784eqzsfonEIEIUhP+RZSIT4oFl0nGrbmvjDCGJxtkaJmNgj46HTA6X6fJAl9oeMcumnJ1yuKLCdKUpLUTxSF6IqzjthbNy2b9YaLyyvm8wVS4JtGsylJmmKFYJOXzFdrLq6uuLpd8v7tO+oy5/GDU54/fsB42EMIryZw1n//VhvaVlMWJXc3t9zd3NE0DVEUEyeRVxUJgW7r3fooOt+itB7ytlkv0KZlOh6RxF5yL7uGjOnWU69w6da5zi+sjaauK5aLOVdXV9zN5yyXa8qyxjnHYNDn6dMnPHrymL29madTd57YbUqF7ex2bVPtuBaLxZLLiysur24pKx899PDhCVEU+WZGWXzruvGtu74sSCk3GRhDHAREcUasIlzpWJoCoUKiKEEqcNpinKee2aLG1CXbAIsCP4ZvhIMgQiFJlO+OBioAGaDCEJBYqWnrElF7KUQchGR1yWAw7BYW7XHCgx6B9Jp71evjnPGh7r1BZ9z1kyutK2TbYkyDw5IMJ0gh0c6waAUra4mjlKZq0E3JD8cjem1FvrmjqWruypxHv/U9vvfZdxBX73j39d9wqS2z7z3hxx8/JW4DsuWC+dWcn/7qK/709RUuiRmnPqLDtBqrLXc3t1gl+fjRCX3neP/VW3759gK9P+RgMCAIFEQxLh3xZr7ktqr4zkd7nB6fMBz0GSYhr371FVVjePvNe372519yeHTI8XRCv5fyy6/ekzlHusx9VqLTfPr9TznZG6GcYzad8Ydf/QHnF5d8/g/+5zx68BFxa0lOJQfHjzk//5rWWNg/4uFv/X3GvTGakrrVqDBkVdfUdUmyN2Nv/4RxMMYcWLQxWKvRPu2Zyglkq4kEyPUFoV4w7MeYIqE36LFZzTHae6ZKbUGFlLqi0QWDJGCzyRDKy9NiFIHW1LVjiebJYR+0wQpPxarv7iiLNetFRqEEg6OH9AZDP1V0lvV6RV0UyCihWmW8v74lawtcKnj42QMeHp6RWoltNMJYlAXTtiyX58xvfsXaeL/iJz/+Eb/94x8zCvtEHZ3KtDVFXtMWDdpqdK35xZ98wSIs+Pjf/g5njx6wn8wQJbxbXHBzeU6tW1IR0bnXd5Oopq65ubyk6inSNEFKgaJEAaojYYluwtu2jTdSV5blzYpNlaPrlvObW8rI0p8O6b/1lMS9z6b8nX/w2zw+fsQwnhDJyN9lG4fRGrC0tca0grbUNI0mDEOuX9yyWm0onWUYOH75l3/GVBrEuqBNDce9ybfvRn4Dj/5s39/kPuhe/xoJ8UNZqXP3FeC2+Lt/iJfdWbHbUG2LuO5R9z9j9/ltl95vmpzsJIlbGd7um5v7TVQna9q1Jbc/16s5UY5uIyV2z62bM6LwXeJJqhgEBmU7QnWHvA/CEE9MlSRpwmw64ejwkDRNmc9LLi7uePH6nHfv71iu/Q1GSkGA6CiEfuKZJglJnGC1RTct/V6fB2enfPLpx0wn4510x7+UXWGuAqSSFEXJqxcvefvmDS9evuarL75hur9P3WouL95zdzcnkuCMv5z6/ZSHjx/y6NED8kpTn69oZchg75DR4RHJcEhvMiUdTdDlBikV6XBM1BtghdoBKwRi5y+1DuIkYTKd0ToPoWibGsQWL99FkYh72dG2y8x2YmIsrnuSflvQ/SccVoCVXTGEBWeIhGMUWyappJcqlLIeItfWvnhpDGMVMUwnXTEm7uVtzmHahvVmw+3tHXlRMh554MFwOEKEofdJCUdyd8fN3Zzb5Yaibjm/vEIqwSefPOP09AgZqC5rEDr1LNZY6tpPdm+ur1HA/v6MtNcjjmOMsbii8fJX25KIBCk7qTWeQJ3nK3Rb0ktDz0Do5Me7AmObqec8ydI6v/m5u5vz5VdfsVwuOD05Zn9/D20s7y5vMEZzcnLIgwdnjCZjpBJEXUj2ByNOX5Rb66EWm5zrq1u++eobbq/nIGCxmPP1V18gAxhNJuR56bP+/pYdcb+/Gwfer03+/BTGe9i2nxeum2R3qoqdumIr65Vb+TvcN8fu100fUyl2n7tvorldUbGjT+PPYXb5maYrMrZTyA9hN51/usuc3XmK4YNiEXCOMJAMkgiFY7PawOaO2DYcTIcMBgnaON6eX/Pm7Tn7+3t8/NFj+r0AqxsW84yXby65WRQ4GRIrSCKBxFDVNVXV0GpNEgfUTcv7y2sub+6QQcjBkffK0hWuDkEQxgwGI/qDIVGcIJWiN9Q4GfKLL77mT/78F8ymI/b3psRxRJZXXM1XVK1hscqIAsXDh2ecPHjIaDSgbG33/igG4ymTvQNU1GPv6ITp/iGL1kOr+uMpJ2cPGY5GqDDyGb44ymzF1ZsX0BUh+/sztO2i1LAo6d8PnJ9Eis4y46zxagrAGQ1ya5Pw58SH0mXbNQW2fjyjDcLUpInlZJpwMEqIA//+WWsxbcvqds7N1RVKhZyMfHSOlAqsxWizm5hlm4yrqxtWiwVJHLF/sM9sOqHX6yGEoGk1ZVlye33N24tbFquMIvfQou9/9hHPnpztCMvW+ZxC3Wp06+nM66WP8lDCcbA/YzKZkMQRZVUyX26oqwqFn0ayLda6OJ8y2xCFisFg4O+p3WVhjdk1mLfn9e71cV5mf3N9zcXFe1arNWEYMhmNWA08uOv5s6d87/vfY29vzxeJSt03mvGQT2u2MU41TVMzXyz56qsXvHz5lqKsyLKCMFA4p9mfeXKv+1esdd9aLB7sn3kzPhK17fy0DWW5RhKhws7HJAQ29KjfIAio8wyhEsL+kEAEKATCQuwMUc/7nVxToqvCRyYoTxUSymt4e2GIswJjHUEU0U+TbgNiiYKQ1jmKpqJtaqTzRuHWWQwCp5vOAxISCQG2pUWC8HILp8EKSxRKhkmCEB7n3giBGkQ8mASwOefu+j2FgONPHvP80TNYrbl+e86LqwVfvLviJ//B7zMMUzbn5+TrjFfvbnmVayZHRxTZxtOK6gptuq6q8N0VWbd888tXZGXNo9/9Aaf9mCpKeHD6gGHcYxT3+Tt/73dZNg2D8YxUedBNZTTHDx/TH4y4Wmz4qzd/wa274zzPsY1GRn2aOmcShGS1Jk5iDsZ9IgyffPe7XP/iK169eYccDlC9MWVWkRcFi7evCBTM9g8osg2TkwfEQQJtS9obklpHICBXHoZg6ooiWzMej4hUQBLGBFJ0GH+J1g4pNGF+iylvqZslBkOkBJvVnOHsI7QIMErRQ2CcBUJ0K7FNTW8wwDQNZb72qPs0YjhIefokZW+gUK7z0602zN+fkxcblnlFc3rM0WSG1PgsSNPQZDWL+YKyrSiqGjONePLgjHHSIwhCxlEfVzYUVU69zllvNmRVBkpinKZuK5JhyiffecbhcETgHML5wNW6acjzisXlDZu6QAWKZmL5/m99j4eHRySyh6scWbHBmdZvmp1GSl8MCmNx2uIazfL6gt7RmHTQJxKA8Gh+7yd3O5oVdGbuuqVY5Jy/OyenYbXcoGYJjx+fMSRi8dUts5M9fvv3P+eHT7/LJB4RqYQARVvX1G2F1Q5joGlqdGspVg13txuuL+548/41d/WC2rX0tCG7WfHnP/1rjh8e8nh0wPr8b1/Oogy6pXA7gvtA3rSTNPHrodD+8fd/3W6I3Fabtf3iDx/zwee2j/7vPEZ0P8mnqnSd9U7QY7tiTLqdbJWuU79NsvIbKNdt3FzX4fXf0+BvLL1QMh2EDGJHJAxOSZwMSYIACWR5xmq5wOiWtJeQdiqOPK+4vL7j4vKO5TqjaZ33OgjRwUe89sgzXKQvlKzPH3v86AGfffYJxyeHfgrZNYW20wdt/O+qlGQ6HvGjz7/LYrng53/zBV9/+QXum2+wQmJa7SeSgV93+mnM6fEhz58+Yjqb8vL9LVlR0RjLeDAgSFLfyHT4jMvQd2Lj1EtwTNt4CZFwGDR1XmCa2sdXdBAha62fqNgW3Wha5TACn9mrGzAaW5cU6yVF1RAMLMoIjEp8vmK3wd7OULTrPPl49JrDkSrNSAkO0oBR5K2jFtDGka9zbi7vMEgGe8cgAsDbOazzQdFZtmG9XFAUBQjJwf4+s/0DhiMfWG2lYJtXV1cV8+Wau0VGVlbM5wsm4xGffPSUNI3Rxviw9U5apbtN13KxYrVcEkchs8mE8WiICkJAoIvCh1t3FGFnNdZ5KquUdDTAOz9ZHM/8ZPEDL2FXTrCLo+m8q/P5nBcvXnB9dcXh4QHHR0f0Bz3KylMj0zTk8aMzDvanpHGEUJKo8+1s4zqM1WB9HNNiPifb5L5r3/k4lZK0Tc3N9RXDUd/HhyC26TR/q44kTXfNrh1Fudvc7xpZO20cu0VLiM461DVTtpL3++N+IftwoLg95AfZfV79sH1A5/PqpuJbH5jr/FvGGA+ms9sYmI6utBNi3xee27V6K71HOG85Mpq2KtCUDOOQ/dE+00GMMC138zW//NUr2sbw0bNHTKd9rGlZrXJev7ng/PKOttUEwueERsp7gbO6pTWiAzBtf75lPOqzvzfj8eOH9Ac9pFQemhZHSCSD0dAzNJS3TKkg4rNPPmK12vBXP/8Vb95dcnF1i1QCKQKKsgUhaRqNkl7xkfZ6nWRYYIyf3kVRjAPW2YasKDovpwdY9fp9VBCg64a2qhAyII59M09J0cV8bQgDQRImXlZpNUI4v+doW1/E6wZTZ5gyw2qDRWJUgm0tRA6pYkSHp9q1ML1IBtsVYqZtSaiY7kXsjxKi0Ct3jLE0umZ+c8vrl68o8oKzx09J056nhncTvLapKPOczWrNcrVGt5qTk2P2uridoLOOWGO8zHa94frympurWzZ5TV2WPDg94vvf/ZjJqE8QKF/g6W4aV9eUecFmvaHIc6IwZP/ggL2DQ/r9PjjHcrVktfGwGGsNDu3bsM7hnKGtC+oqJ4lj0l6KVKo7t7dnrT+scxijuylgzWa94ubqitvbG4qiYDwacHBwSBR5G0TbNnz08TOOj4+I4gTRTXm3sVvbnMmmaSirkjLPybKc8/fnvH37lizLMdZ7KzfrDfk6YzwY+Aio//YF+986vrVYXN/eEEiLCgOcCvxNQUr6vQSnRgRS0fWgaLQnFqXJkOHoFOMcoQq6DDhvAtblBrNe4pwjiMDpitaBbiAILSoy/msUOCdojUXXDmdbat0Qbjc+wgcbh7KT4QSKUPYwusY0LU46rNV+nI1vP+umos1KtDUEUUAYwAaBoCOyCZj0BPvRBOoCE0kePX/O4XiKW6/ZzJecX93w1fsFc2359NlTYgfLouL84o5fvHxHJRTD2T798YRsvaQ3mSCkIF/cIY3jZpFzm2d89PEp3z19xsPxgLv3N4yPHxCHMbSaxfUVWsD+bAZCEgYB/eGQOJCYtmXYP+Ef/eN/j6OzY7K6ZH51zfnlktpJwlCQKIXRNcO9IY1s+Pjpc6J1ztsv3vDu8prR4QHD3pDVfE62WHL78lfeO9Ih73VTcf3yV1gtiBMPVRFCsM7myChE1yXvv/gZ8XcieirEGkOAR7a3pkVXNdK1jPSSXmywBrJNTl0VrPWGanxO04Zoa5Fdzpxn2FqMgLiNCZ2gzEq0MziheXA45GSoSKRCGkO7yli+O+f27orVasWlhe/+nd8hEqEPE64rqmJJXlUURcFdvWJ4tMfB/oyzw1P6IuoiNGyXh9hggarWzG8zGrzkq7Waw9Mjnj18gGw9trqqWrT2BuHGGLTT5G3OcDbjR9/5nL3xjMgmYAV1U1LlFUpYbJWjmwZS5zOL6CJdtEYFkmadMzs9xNYl0ja+I69BYzFtQ1lVqFDSbqrdQla6BpMYRo+mPH52yv5gSn1TMxhMOH30gEdnJwzjASERTju0bWjritZotBaYpqGuKqqs4fp8xfnNguvra1bNmlWeYSJHOkhACpZVwUkU0a4z4sm3U7N+E492h43upkuiI4t+2DUX203Q/bhF7HYoHx5bcz+7zZbY3Tq930HsPvfBY/n1G8mHIcbbrYgT9x9vvRNg/b87TwYUwu5IrK5rcCAUTgQYJ1BCM+5JDicBw9gRC4FxfsMWKkVbV1y+P+fi/JKqqnFdrIJpW1bLBXVZEUhJL01JYkGgFFtiW2O1n5Lh5Wq6bXHO+SljL2E6nXYZfsZjvY3xXWgPwcch0Np3sw9mU373Jz9kbzxkPl+y3GRc3S25vV1hraO1Aqcto8GAw8MDJuMxQihWWcFiscZaCIOAtmkosobVfOnx4B2B21pDla2hbpAywKUxtWnZ3F0hrEY6y+r2hrasMEjy9YrV3Q2BFJiBD2pGN9imBN2g64JsOadsLCnKS9VVS+fe3k3PHL4JYIWP0XBSEkjohY6DJGIWSyLlN8WtMRR5ye3tgvlyw2i6Rxj1QARbNTK61Ww2GavVCtNqxuMJw/GY3mDkybDdRkW3LU1Vkm1WzOdzlssVy3XJOi+pqpqDj/Y4OTn0m3brkE7Qti1VZxvwOYgN0+mYvenUo+s7f5puNXVVspoviPsTjnTjJ57Oyz+tdVRlznq1Igh8brLaRsbsio7tNMI3Hcqi5O7ulpvbG6zRnJ0e8+DhA8bjUfc1Huw1GQ94+OCINI0Igo6u3u0NrIQtaGIxX3B7fUORFzjrqKsK3bZspYv+cw2r5Yq2aRgMRp0C42/XYbT2vsROXuqLQNUxJPy9XHYyVD9NvG9+baVzXtjw6zCObUPLde/5NjuRrcLBcg8Mc9yDuPxX+V2A9U2vXUTQ9vt0ioVtA2BLS/VIrq6RJvx7LrtC0XYbd2ccbW0IXMR0lHA46DNIJApDVTdcXvg8xeODGScnewhnmS/WvHl7zeXNEhVEPDg95tD4DMI4jcnLmhdvL8lzH2MhJz2Gwz6zyYjJaEDa6zOZjgnCcFcsxklCoJT3ZSsF0rMHotBydnLI7/7kh6Rpwnyxpqxqrm9ucRbiyPvNXOeLC0MPHbTWsMl8lqgHBlmqskKLFYu7OW3bIjugnm4152/eoM1rVss5SZIyGI64u35PvZnjtOXtN18wPTyiP5phjEZYg1KSIJAo6VC2gWpNmy/RZeanhAS0MkWHDTZoUCreqUScuG8qGCewpsVqgzAtaWo5HIWMUonDoI0Pul/O57x9+ZqryysGo/EuoN7DXlqaqmK1WrJeLCnygihJOT49Zba354vlzo/sqaQNeZZxc3PNZr2haVqqsgJrOD464OT40MeVAFp74GVdluRZRpHnnnA7GDGcTJnO9uj1B4CjrsrdelVXBcZopAzZwu5wFt3U6LahlyYEQeAn8nabG+rXVx+R0VJVFWVRkGdrFnd35HlGL004ONhjMpnQ7w/Q2jAc9JmMR17lk6QIJe+VOW57LRp/vytyNusV+SajyAuWyyVFUe7URbJbF52xXdMZf51/y/GtxeKmrcF4dHQSpfQHY2QoCWVEoGLCwJ/wYRgicDS6s74YTS8OMbpGOEvgDHm2JJGWPM/Z5BlC+uwsGSX0BhOiNMXYhki2RFJSNxYpFNo0fnPrDMY4jPE47qopEM4wSEKUsCjRZUR1nZ+6KTHWx1ZYCULFIAy0GozzxWwokQLqKqNqSo6HEyaiIQwCjh6esZcOkY3wqN2i5c35nJfzDfF0wGEvYXNxwfs3l3zx/pbB2R5RlhN/9Cmff/8HXLx8xTzf8J3PPuHm3Tl/8F/8M87vNnz6/Y/4yQ8/ZRaG1KsMG/dJRlOUCogk1FozOz5BaUtjHFEcEwhJL064vZtT5BXSWH746XMaXfFNIHn97gZrJaEKaYz3xUQKpuMRM+v45U//ivfZmtpaXJhwu5ojV2ua1RpdrbAdoY4oJmsN5fUFUgTkdQ1Y+oMBiTOIMEI0FVe//CtaKxmkA5ACXTcM0pRBr4dUjo9OpmwuCuraEgrJeDBgaTSqbakWtxTBABnGXmLSaopsBcIxnu0hZUiWFYiOIKaGguP9lLQuacsaZR3Ld+dUxuf7rJzm5Hsfs5/2MUVDZR2mqVgul5SmpR0EnDx5xsn+EaOkR4gC7dBF5ZsJZYWuauqsoMobsqxkXmdg/SYoUJI4DLFtS1lX5IsVdV1SFBmmFzE4HPAo6DMYj9ifHdGTfdpNSVG31JXXgVd5Ti1asnzFuD/13T4hccaRLRZkxZpob0waRQjbeJN0F0KNkOja0DQ1soXbdzdc3txQiZaDp/vsH82YDGcEWkEjyPKCyhj2TqbMRgMiFeHylkY0CONjZVpjMEaAE+TrmrxuWbUlyXHCoE69udoZBsOUJI49gKqbqKYHY/pOfcuq8Zt56LrppnGymzJ5cIiU2xveB14Y3L2ukw7B3214hfj1QrGzzdx3v7cdfLYzFHYFpf/7lqjaqUx3BR8fTCPvf5awDpTofJRd2IS9D6Pe0k8NAdb5sO1R4ni4F3IykfRDg3KS1ip/0zCG5Srj5YvXXFxce5pa3VJkOThLUeQkccizJ48YjPbo90dI6SdAWe4hA8vViqZp2N/bJ0l8tm0gwk72YjrJDjs0v/ceWUDtqJXWeG/O4f4eSagwrSYva7588Zo//qO/YLHMsELhlIfypP0+qICy0bw/v+b65g6CAWEQUFednGi9RNdVd3MU6LalytY4mWONo1AKmpLV9QXSaaQQvP7qC47OHmFkyOXFe9oq5/Bwn3DUJwgDtKk9Qr6t0FVBVWS0GpKuCDbaYDGdpNK/LwBOSawMfHC9c6TScRArDhLoKYsUXspUVxU3N3fc3M6xTjCaTIkT7yl1XYxE0zS7TLfBwQHD0YgwTlBB2EEafOe6birKfMNmOSdbr6jLkqosyTO/2Tw9OWI07mOtz0Wua+03MmUBTnRhz0P6aUrcxW6Aj51y3XRztVggwoTHT54zHI0xzlNQrdXkWZfv1e+TJPFu0iqkvxK2cTNN27BcrpjfzWnrikG/x+HBHnEcEcURYRD4jfaqpakrjg73OTyYsVNEiq6QEX4SVRQZV1eXXF1eY7VhMPQZbat11uXcCaIw8E1ToOnoi0EQEgR/+/zZdVF00ze5m8Ip6Um0ssuEVVIihdqFsu86ZV1B5weAbicVplvf/CG2Cxz308sPPrctPMW2vLwv7ux2HbN293DZTaCd2sYLyA4C4qfXbPNed9XnvaxPmxYVwiSJOJn2OJ4EDEKLcC1tVTNfrLi4vEG3LdPpkDSOKDYLXr05526e0xuOefD8mL2jY3qDwS5ypKxbfvXVN/zJn/05b9+9J40C+mlCksRYazuAU3A/gYUdsMdDUIQftzmLkoIwkEwnYx4/POXBgzOaxvLnf/Ez1pucVhvyvMB1xZtSysd0WcPtfMl6UyCEJI5TnFRUjaZsWmSUEvWdf0/jlKIq2azXbBZ39Pp9rK4p1iusbhHWkS1vOH/5Ff3pPkY7pBSMhgNmsxFpHOHqlrLa0OQrbFP6a4wAq7xPvZGAqBEiALltBEkcEuME2wzNRGhGacD+QBEqX+DUVc3i9par9+fcXd8SBj6Ptzfs44RvdFVl2UFsfLNwPJuxt3/IeDohDH0Mk259A75tKvKNLxTvbu+oyoqmbmgaT8Iej4ZEcYg2GmkFTdNQZBsW8zuqsqTfH7C3t8dwNNkBaVQQevK8sWjtZbdVkdPUJWkY7+7zYGnqCq0b0kGPbSyNry+30RhtV5wWbDYbNusNVeWj6/YPDhgOBiRpQhRHCEB3GY6DQZ/xeHQvvZbsZKyt9uthlm1YLpaUuS/opRCEQeCp3VKilB9CCeim9luvy7cf37oSRlEPp4aEQUTQzX+k1jhT0VYZofQXZFEX5OXGI+GDCKMCdOlPGhOliMCP34MoJJ4ecrB3hrEGgSQMI9JEEcvuhXYWqULCUBE4QWg0silJbNdJVV7Sam3liUnYTsIK0voTcyuFCZRCOOMlAjIgDGM0kqbVmKbGVBmRDEjTFMIeGrjLCh48nDLr9zxps9ywulvw5Rev+OXbCwrj+OzhAdnFORe/+BXfXM7Z/85TPtkf89WXL/nk937ER2eP+Ohwytcvv+DkcMBnT/4OwyhlU//nPDk6IGk0+Tzn+naFfPSYftKDpqW1miSNiSRUdUPjHEkc0ZYF5/Nbrm6usWHM6uqO68v3HJ1Mefb5Z4xPHvKf/Sf/hKif0GYFdW14vLcPZcvPf/4l+aCH6vVorGPy8CnHj54jrKBNr3lz8QWjgwmmXsPhGfuf/x5xECOsxVhDW9XUbYutMuokxRQ5xfyC0+m/hRUxCEvYS6ml4POPDvh7339C+eoV/+IXV4jZlCzfkK2W1HVLZgOatGZljL/4RAf9CEMslrwuqOuWfpAipSMOFR8/PuAwDVCFYfPuHbosuZ3foKZjdC/i8aOPOH70mF6YoK2krHLKck1mW8JJn7O9KbPJHqOwh61qdN3SNDVtYyjynCbLKdY5X/31V/z8iy+5zXJEGvoblZScPDlBCUVTNJSrFXfvr7nJlkR7MQ9mjzg4OCQJIxSCmBBaC9rSlgVtXaIwlMWa+GCA1a2fKkgBwuGMZrW4RaaKpBejrEM4nwNpWj9tbbVmfbfgenXFcG8IPUF6mDKajDk+OmR/tEdAhNaOqvFo5FpqTh/sMUtHREZQNY0nMOoWrb3Hoti0NI1lvcpYlBmHnx4wG024EH2++LOv0OaOw8M9gq6D3LQ16SClLxLWi9W/1qbkN+kQnRTL5xh2pMmO+S2kZes7EZ2c0H8R97vT7aZoO0nceWbuYTN08qv7oq8jXDqxKzJ3KjDrOom27SRZHgrgYRJeRiLEPZ0VHMJJwHb5hJ0MFYmxvoNtrSVRlpNJzLPjHvt94SWoXXey1Q1Npbm5uuH8/SXL5Zo4DKjrmnyzAeE9HePxgGfPv8PjJ5+QpH3fNbYWbTRVUbLZrNhkG3DQS1OklNRN49e0piWKwl0ns9s2fiBDdLuNrMO/dlEYIAJJHMecHuyTRMrDYTqqdhhF3hOiIuZ3d7x8/Z6sqBmfnjDd20elKXKToSSoQBL1+vQne4z3j+hPpoDwfjtjKJYVzho/ZcGxuHzPX//Jf0OQ9gnThLOzE5489t4f66BcQ9ZWNKai0S26qjAohOgIoFtIR5cnuZ26QIATCuEsIZJBKJjEkr4wCG1prKatSlaLJTfXtxjrmO0fMJntocKwm5r4IGrn8HCgJKU/8GAXhPKTWquxtqGuS8piTb5ZUeYbrGnvNy5tQy+JODo6QAhHkWceeFBVGGuI4phBf+AjKaLQR1xsz73t5tdoTCfhWt3dkW9WHJwcs4PU6Jq6yolCSa/nZZBmG0fTTUV019lfLOYsFwukkOztzRiOhkRh6IvKrqGjOwJu0zY8evSQwWgIbBM03S6iINtsOH//jtvbW5QKvFztYB8lA+5uFwTKx3glceQbQ7LzLWnTZUHL/0HWm/8xDy8t7jaK7oOcWLifJgrRKX+8iuKeCA3brNatx9eJ+/VLfrBO+sYPO5+j6Dar280zePm1nwb588crDQy4e5CKJ7V+AE7pvs5af09z3QbebWV+xmDx/tRAWM5mfT57tM/ZfkiqvJ9LVzWL2zvev7tgPl9Tlg1l2ZBlBYv5iryomO3vs39yxtHZY2aHJ0RpiuuuN6EUj58+5Xvf+ZSf/tmfcXVzi21b8qzopqrh/QQUXxA56zrJoNrJm320DN216kFgk+kep6f7vH33nvUmJ+gaGRZHFPkYLWsd66zk3fk1WdWQjveZHJ0SDyeUbYsIItLhGDkYMRyNOTx9yHAyZbNaML++ot/FN4RRyHJ+Q13kvng3NaYpaVpDP005OZjw6NEx/ViRr0Nu9IpVIahqjW69fYGge1esxVgPTvG5r6KDbilM10BQThMmlr1BQi+0oBtqXbG4veH64pJ8kzMaDZjuH7B/7OErRrdUVc789o4iz0jTPrP9QybTmc/BFcJP1Fq/ZjWVz929vb3l+vJqF3VRVTVlWZEmEePREKO9Eka3DYvForNdaA4ODjg5fUBvMEZFiX9/rEGblrquqEoPg8RZsvWaItvQG4x9agAgnKUqc+qq8jFj/pO789zHWOSUeUaZZ9S1VzUNhwN6PR+toYJgd+0469fGtm3Y35/RH3jPsYNOmm18vMZ67e+9m7WPGglDeoMhSilWq4xeL6WuNVIqoihACm9DarUmcfhJ5bcc31osPjh9RttW1HVBUxY4XdGYhoqWIs89xCFKQcWo+ADloNcbkKYpRgYEccSoPyJRirY1WOf73MJq6mxFXebYfMXCttggQAaKYRKTRrEP3ZQB2mlaXfoFoKqoy5yiyah16Tst0kNyAqXo9cbEyYCo3ydVEVKGNFp7AqB2uL4gtZambWhbQysckYqJY8eT0z7/weennOhL4uIK17SU6zXZfMn7t9e8fHfNqvZvWKQbfvqHf8qrN9cc//A5v/PJGfr9DUHcZ388AN0wGw54uL/PanFFgOP3fv8nhMISyiVtlnH3fs4vX11x3J+wt5dRhAHD4Yi60STW0Rv1Ca2lrUouL84R/R5Hzz4mCQPagyNevHjFLOnz4NkzWH+DMI5hP2WxKXBScnt9w6vbGd/7+BmD24I/+eIFTRgT7h0SJT7gPZYh2ajHk4cPuFOw7O+zd/AAhfBEUqPRaUNe5shAotMerVKsz98zCiOicIBxjjpU/IOfPOff/8EDpqLl//VfvSZIU+qypGlqhJIYYUiOzmjSMXHj2OQlQgmiJCJNEiKDxzzXFicdpmmYzmIeH6SExRqzuKWe33GzvGNpaqKe4PTZM05mR1A3qJ4k36zIipysKRifHXKwf0g/CAhFiDRdKKzRtFVFrVuMNeR5ycW7a5qg4vMfnPH+n/+MtW6ZToacfveMf+vv/13GpNTZhjwvuFzdMnx8wLOnj+ilPSaTfRIR4VqN05o6zyjKmqauWGdrdL0hSkNCbfnLP/wv2fsPz0hF7BegtsVznswuRsZWDdpYTKdfd9KhQonAkW1WpL0BJ/sHDMcj0nCIMAG2bdGVo8py1qs1IoSDaZ/QGuqyou1upnVZUeUbGqtpasnlfEH/OOLs8Yz92YR+sEfWq+jFfUZiCNYhu6zBQtfUWc5l1TA7mv5rbkt+c44tynprzL9XR+1mef5D6EKjLFuqoDeXit0CDoCUftoH3q+G2IVHC7H9jh3mXey2C/52Y/1kWWiNbTRWt142bbpiUUkCFRKEUefl8DfmrT9RdlEB4JUeHvTVEtJyNIn49GzA2TQkFiXC+gZCXRZUxQZjWvJ8TZl72XQcqE4WZlASkjggigIm46HHbiMxBt+MkwHhKCTtp0yaCUWWUWQlq2zDerVGSa92iMIAoXyTSO2mEGL76nbFsPfsSdlFcegW8FO4WCniMMBItduQRmGICgLev7/i/OIaY3xxdXR6ho1ChHNUq1vqbA1Csn/6kOOnH9MbjXzntjVgLIuLkLv3b8hlCFjvs7u74cmnUz77/Ac8fPSQJI4770yLiT1ev60r6nxDXRbYIPb3K2O6CczWW/pBB9cKpPV+9kg6BpFgEAoUhrqqyOqSuigoi5I47TOeHTDd26fXH/pvpQ2uiw6I4thT+tKUKPbnBF1em3EGYw11lVPma6oiA6uJAr+mWOvBFbO9CXt7U+/xyTLa2nfgB6Mh48mYNEn85Ekpz6PppiVWt9i2y2htNYESmLpieXtN8/CMME7QTU1dVeAsaZwghMNYg3IBuHt5fJ5tyLOcpmkYDQceJtHJrbZkTteVg6bVrNdrhJTsH+wThiHbRoO1jqauWCwWXF5esdlsGI1HnJyceChEnKAbjeoyBpMk8QWss95KYQyNbhFSePDc37KjPxzsJoOmA8nQfbwVwu/aX12hiOxUFlIghVeU7TzaO3kEH0iKt58HYR2281BvpZRY1zUY9G4iopuq8yb660QpSRhFhHFCnCSEkadt+ueikNLbkQgUgdkCVCwaT7QcpJLnR/v8+Nkhz/YTUkps09JWFevFgquLK/KsoG40q7Lhzfsb9qYjkhAODo+YHhwSJgOclKACL+MXDmc1wjpUEPL8o485OT7ir/7qr3j16hWbTU4QBBwdHTGd7pOkqfcUOg+Vs86fo1L5bFFBVxArgQoK6rqi3+9xfHLC0ckJr96ek0pPHq2tI4wjr5ZD8P7ihncX1yBD9o5PODh7SDgY0mw2KBWQxJ62Otnf5+TxYwbjCcPVGBAkccTe/j66rXn38muqIvckzrbBtA3OOA72Jnz6/BEnRzOsaUiUplr1yeeyk6e3qDggiBVhEGKc9JFo3ftgO9Ej0mGFz4ENhGUQwaynCFxDU2ZsFrfcXV3RlDWj6YT9o2OG0xlR0kN3+7XVckWRl4wnU47PHtIbjO49m60v4urKc0yqsmB+d8vd7S1VVfkkhsrL6HXbMjqcMZuO0W1L2VTc3d6wXK7o9Xo8evKUk+NTkl4P513rOGPQTUNd5eR5Rl0V6KbCGU2xWTK/vWQ0nSFCn8dr29rfS9vK05+tRjiBNZqmKig2KzarJUVR4Bx+/RkMSVNPdxZiK+X2zTxrDWWREyjJycmx91has2veZus1tzfXbNY+Mz2OI8bTCYPBkDRJsMYx6N8SxzFJ0hBInxGKs+RZQZ4XPsbl21Wo314sLm7f+ZG3rrqcKIGVgjidcXLwHOckWlvSRNK2DUJGCOuom9rL6fIlm7sLls4RpUOUkjSmBikIoxitHFUNRgRobaCpKLMVYddVcjTopiLfLGjaEqWCzlvU+qlUR7FzSLQBGV6T9FLiICEKEmajPQIVIVVE6ywhEYkMGPcSQuWzXJCG470+/+HvPeJh2KAXjhqFLhuaZcbl+xt+/u6K6Okhf+/ZMf/P/+JP+OXPv6E83efR73zG73/3MfEm4/rmFjk8QiiFAFqtEUGKNmuyakOSDvn8xz/i8su/ZnH+iq/eXfPTb84ZrBrefPGaH/293+bT73/G7GCfIitQoZfhNk1DPBpw8ugZobMEzrJYtPT7PQ73D5iohD9/e4ltDKETPkjbGMJhjx/+4IccZA1/+pd/wZ/+9RfIoxOODh8TR2OQMVFfcPnVa/rpgKqxmKAmEII46hNEmjLPiNOY8WBCefGGu6bBOoMKAl69+IL+4ROEcvz2dx7w737/mJnSrC/uWOUNYRxCWXLx8i1Z29IbD0jrktOjMctNSyokGhBhQKhCAmewZcVkOMRkFUVdEsYJI2dQmw3lzQ23izuaccrz5x8zS0f0BhNm+6e8+uVXiLCibip0YDl+8IS92R7T/hDRWmzbYNu6uzFpGu2zvoI4ojccIPqSR8MRze0KipJfvb/iySdP+eF3v89QCEyRUVUbclqe/97nHOzv0ZMBYRQSEaLLFnSNblrKvKRoCuqiJVvmhKohwpEvNqT7mn/6n/6f+P1/+39DqlLauiZf3kE/IQp6NFmNsQ3aGKgbqnXBql5RlTWD4wn7hxNC628ukYwInMK1lrryhOAyzymyNVFqGachopVs2pymqmmqms06Z7PaUOka+gGzZz3Ojg4YJXvQSmztUE7RaE1v7IEmRBG2sbjGcFus+ehHnxKu/hWrym/gEXWBtL/mGXSdJ3A7dbxXnu4e6//cfcHuT2c69uV2ktR5bLZSFGG3KP8uHqPLnXLW+liVpvGd9qbFao2x2st4pESpgDBOiOIecZJ6G0AHUdk+P4kHhBljcFozCDQP9iJ+8PyAzx4M6IcFui7QuqJpKrI8w7QVcRySxN77pcKQKA6J05g4DglCSZZLqqL2Mhxn0dZhtNtJ0ryPSdM2LXVdM5/fcn15w3y+9JAm5wvz8WSIlGa3ufQFyH2R6wAVBDsZoG49dbksyg4K4ZUuSkqvLBGC9XLJ1998wzrLCOIBo8mI0SCllRI97NMbDUmGI6QK6Y0n9EcDkkEPgcC0GlNVKOmvryCM/ATCOsb7e3znBz/g0dOnXVHRTa60l8IVmVdPbFYryiJH9SRatzjdoDuKqu0mbP4QSGcRHslG4DQpigSHbFuatqCua3AwHI+JeylhkhJFPvTaGAfS51pKpYjimDBKCMIIIZXP0nT+/LTG0lQVdZGj6wKnW6JQenmwUv6+i+PwYJ/hsE/T+GzaOI7p9/uMxmOiMOiw7P6NsXjQhMLRNi1lXlBlOaZpiFSIto6bi0su9t5ycHxMazR1XRMoRZLE6LahLisPInOWuiwoywKtNUkUM536IlGFwX2zRtDFaPjJU1VVrJZLokDST9MO8ATWtJRFweXlFVeX1yAEx0dHnJwdMx6PCcMQYxyVNruN5DZb1FpDU7S0jfbeL2tIovT/b2vM/1SO8WjANiDdCXbRFb6g6dagDla1ozXir0nvOeyATWwLSnZrGR0h07qtIsJ2NFO/xtkt4dRobNvssuCMbrC68fTZDnIjRJe/GcVESUKS9rrs26DzW8rOOtA9u+5ckc6wP4r5/tkhnz+dcjoKCV2FLmvKIiNbLFgv54BjMBwgwzmtgcWmYpM37D08YDQeEMU9sqpBllWXS+kXKmM70JmDumno9Qd88umnvHz5mq+/eokKIm7nGU5EfO/736XfT7k3HoDrJrZSSoIg8HtsY5FBQBjHjEYj0k6RYZ0vSi3QGk+rlEqR5xVffPUNVzd3qHTAqPMpuzChDAqUxPvh8pIsTX2DKFSUCrJsRZEJBv2en/pKCdZ5+F1VkvZbemnKg7ND9vdGRErSGA/zaqqCPNuwWixpG01vpIgGAoKQkBghHbK1nqzf9ca8rcKDiCLl2O8HDAKNKUvyekW2XiEkHBwdMD08pjeaIgIfo+GM9QOaKGIynTHZOyDtjzy3pLPrtLr1UnzT4vAS0bIswVnGoxFFrdHGULctSklOTw4ZDXtUVUmRrynynPF4xJMnTzk8PkaqqLtdu533sSrWLOd3FPnGn8O6xbY1bd3w7sWXJHHI/vEDZBD6NAcsaRLjeSk14BuKm/WS1fyOsiyJoojBZMJgOCKMYpTY+nnNrlD0U0VDlhUkScp4PPKDHAW6rbm5vubtm9esVyv6/ZSj42P2D/boD4YEQYgQPi6vaTWmU1uGoVduWufYZGsWiwVxHCJE/1vXjW8tFvd6ASJQiGiGkD4M01hNYxVOtzjXUJcbshykDBCiYtrvkSiL6idUVUDZVFjXoJs1pq1xAnpBgLAtqQyRvZC6qqHV1NqiHTSuRQqIA0WQDEhEgKvW6LYmDEKgxTYNTkpkECLChIgIJQMP45GC0jku8wL0Gmu0j9WQvjNjtcOaBusEH310xH/w4yecBi316o52syC/uaIua66ubrioW77zP/sJn03GfPlHP8cZR1laxo/P+Ld++DHxYkGRlVxcLqk+OiUMItI0xVUVaZpyGJ1RlGvKao1MJ8T9Gb/4m3/JXVMzORiyqQq+fP2OQgqGexMeHRx2AcUBTVlRWcve0QmxAlq/SGWrFadnR8yGPfKbG+4urrEhDGLp0buNZpz24W7FL/76a/7JH/8VS+foOYurM/Tqhqpp0VHE5OknEIVMj05ZvrsgaCtm+w8Isw1/+af/BBcIDp99RPX2BdniFqM1eV3z8LPvEkcj0tDw449OiZqGNy9v+eaX37BaL3FpTLHJ+PKrF0RHUx7OBgShQCroD3uEOqKpan/RlQVlUYCKkcuMtmro7484PRoRbxacv/2GVX1HcDLi7OyEg9GESMRIa9hcvkU6fAZNmrI3O+JodkBgLNQ1zjiaPKessm5za4l6faSTFKsNb79+y/5+wqix3KiMJAgIVISLBM+fnpHKEGMVJgo5eXDAuD9imPYxZY3QDl1V2FbTNnWnG9fUm5rrqyVV1LDfS7i7nsMwJqgtrFf81//Ff8Lv/Jv/PoGRuEASxwG28RIOXVXkRYZpGxb5AtdXjPYmDIZ9Znv7pMSYpkUIMI1GVxrTNrRVTbkuWGw2mImlKRsandMUFcVmRa01q2XOXbvh+ON9Hp6cMRtOiUWCs54+vLzL+NVffMltsSKdhfTjFFs2oKHYVIzSIWJheH+z/tffmfyGHG1V+q658n6LLZxhC1dw3QaGrjPs7ivGrfNwd7itB3FXO94XkVs5kutuBGYbANy2WKvBdSRJY3DGk39x27QqbwPZwnWc2xJPRdfxl910sXturUbgGMbw7GDI589nPD5MSERNU6ypyw3alBirOyKkotfrMxy2JL2EKI1IeilpL+2mmJ7MmWUlZdUAwnubQnYyNGsdrZY4Z4nCEOcsm/Wa29s5myynrBqUCvjudz9hMhnuYCRe2nVPxrQAyhesYRz7CWnrcxWNtoQq2E04mtZweXXHYpPz1YuXNFqT9gMEBqdr0l5KGymiIADhg67LPKfMNj72yTrqbMP65obF+TvQFVEcUDeOKAh5+tFzTh+eEUYR2nofs3AWoxuqImO9nLNaLiiyDU1dkSR9D5wwxs+Khdr5j2G7wfYgjlA4ItcSm5bY+qaZFA6VJkRh7CMg4shPNvCRQ9J26TtIwiAkCiKC7pzdnm/bSUZd5hTrOWW2wnYMASWEj/3ozr9emvDs6WMG/R6BdMSjIWma0u/1Oyz7vVRxex5vA7GLLKNYbairGqs91RwH8+tbfvr//mOOH5wxO9inN+ghpCfdNpWmzKtOyuVlelEUMh6PSOKUIAg6idVWGunhM25bcAtBVRYs7m6JgoAoUrR1g7GazXrN5eUld7ce4vHo0UOOTo5J+ylS+v2LMY7NZsPNzQ1N05IkCql8HqO1Dl03bFYrT4cM/zZ6FjM/mesoits1Tgif6GS3DTPn41223A62haXYin0/0NTv5JTb86+TyHV2lm2IutZ+TXNW+/XNeDnfVgLrpEPuFB5dSHnnIW2bFhVEnR9OdH7TLgdQANJLr4eJ4unxhB89P+DhEKStaeqSfLNmdXdHsV6hhGN/b0bbGIR860FzYcBsf5/hZIIQUDct69UGEfQJldpZDmR3jm9fo1a3DPp9ZtMZv2y+pik0RaVZrDasNxs+//z7HB0delALzkNvOnCgCgLAD0eKssJZiOIIrVvOLy9YLlaMJhOqpqVqfK5gXhS8vbzmy29esF6vGUcpQRQiVOeBVgFxmiKxZMs5pm148PgZ+4fH4GB5c42uS2LpaJsGrTVC+ol8miYcH+0xm005Pd4nVAptdOf7veD68oLbmzsWyxVWO2Q8JHUOIRWBilCBJAgdqjW02npbJgIjFArNOJHsDySprDFtgW4b4iRlMttjOJkR9YcgQ4y9v9cmSY94nJL0BgRx0nlkPcRte+9yrgMmKu+9jaKQ8cgDvvKyxhrf3BuN+jx59IB+L0EKR78/YDgcMRlP6A8GGG2xrkUI2X1Nu5tWFvmafLMG/ESvqUus1txdvKYqVpw9fs7B8SnRttk66CE70mzT1GSbNdlqRVNX9Ho9xrM90sGIMAh35ztbq4L1UUXOWuqqpsxz4shn+zZ1hTUFV5fXvHn9hmyzYjwZ8eDhA45OjonjuCNU+wuy0Zq7+YK8rDrlkW9UaO0bfZvlivGoTxJ/O7jwW1fCVy//GiVD4ighjCKiKCCNI3pBShAmaBEQDvs0LqCxDkxNXWUEOGSoCJQg6fcxLkFjcLXHWaNCqrZFihapIlSSeP9JpZG2RaIAgwkkkZBMZ0NG9gBtGoyuCBQY62it73K1SIRMicMQ5SxWV1h88LIRhiD1F6RwDlRAEAmkcsz2Bvyv/+H3OFUNxfwGUy5oVwsuL87JqgYzGPLd3/oRD/ox5et3XF7ccbWuOXs+5vc/f0Jwe0de5CyWBe+Kmp4zu85c2/qJgAoVe7MjqrakaSsGB/vEZ2fstWvidYG9KSiygl/89OcczqaEf/cnDPoJSdzHCkFvMqafJoRSYkzN7eU1X798g+snJFHE8t01l8slRsA6L2gQBJHk4u05//yfV8xv17xdL2nallEUE4ym6DCiJqKRIYef/Zj5L/4FS92yurlh8c0veHjwAFlv+PP/6v9B/+iQy1c/R1jjgTFtQzoakQxmnPYHHA8sT0Ypb7685HKeUzWGu5sF8dGML7/4hvfXtzw9nBFIySgJmbkNOhqwkJJCJqwqS1U3VM6RypD+bNbJmSXHfUXYZLQ9wWA04eTxGdPhFGUETe2z3NqsolivqNIeB0ePmQ2HqEZ7Gi4SabyzVUiPu7at78gXi4L1KuP1+QUfjfeI2ppNVqCFoGlbvvP5M77z6IjUWmwo2Ns/YxAnCCxxEOBisdOnW2sw1tLWDfkmo8wKFssVYiSQwwBnNHGQUJcNrjG8+8XPuLxd8nf/jX+XRIHQBm0tDg+yWa8WEMD40R77h4ekIqJtG3pBD6U93dcYi9OGtq3RTUWx2rC827AoCg6eTAiAIs9Z3FyzXi1pAkfQC3j66JjT/UMmvSNilYDx/gPTCspNxfXFLTo0BEEMIsDoCqkEgVD86s+/gu/XHB8d/v++Q/mf+JEv515iJwOEUp1fSe2kd4j7TZXcFpG7/73UVG4LSCG6DEG6Qk90xZ2fKNLdFKz176PRBqt15y/7IDuxm2bCVqnp554eQuGnbkHg5Zey2+wJPATMGosQgiQKOBymPD0bcziOoNmQ12tMu8GYCodGCghDSdDBYqSUSByxhDQO6PcTHzvkHK22rDc5ddUglfKFkIXuF+wKgoAwiuj1+0ynU4ajW84vbqmqhvfvL9BNQ1vX/OAHn7G/NyPYbsidY0vy2XpItxJTgaCmJs9zmqYlVIpAhVghaOqG8/NLXr075/b6FqfB1BWmrhDW+txJKUlTP4VtyzXZ/JbLLnQ+Wy3Z3N3QrJfYysdmtHWFFYrZwSFHp6cEQYgxxmdqOTBtQ13krJcL1ssFm/WKKs9p25ZUBQRRhAgDcJ6EKhF0oXP+nAkUMlCE0hALQ19CTwWkoUIlPaQMUKEnmaK8F9+5LvdO+AlPGAQEYdido56M56zxRY/WFOsVN1fnbJa3aF2jpPc4Gq07XHuD0y0nD8/46KOnJHGEUhAFQbfh2EYa/Pr03FlPaM7XG1Z3c+qyhA4u4eW3jqKouHzxgi9++UvOHj/i+59/n73D/S630MeV1HVNGCh6gz79Qd/HCXQxCtvp/ocuNRBd8WG5vr5muVzw+PFDlJAd1GHB1dUl69WG8WTC02fPODo5JoojwKFbjQOMttzd3nJ5eU3d1MSRh2O0rS9ejTXMb2+5ub5C/St8PL+Jx93leUc9lZ3Ed1ssSq+MEhIhlP9fen+inwz9OhkV0RXy3d+h8zyypdpKcIFvmHTrmtutg1vlRUdjtLYDv9z/HejWhK7J0j3PLsSG7ZmpuqfkJ5GS0/0hT09mjPsR1hVUVcV6sWR+dYmpcvpxxGTUp5cmXF4tyPMacBwf7nF8fIAQhqIoKcqGu/madLhHEAQYuPewWp9BqqTEWo0Anjx+yMtXb3h3fo0xhsV8wZ/+6U+5ubrit3/nt/n4k49I+1s/2v0ZboyhrhryzYZ+v0eaJJ5een6BE4I0SbHO+UZ027Bcr3n56i2LxQrd+mJ7+z44IQijhPFkxmAw4qp6wd1qxduvv+bh4+dIC9lyQb5cILTPRK3yjFZrRtOUJ08e8/jJI8bDIf0kxpiWoq54+/Ydb16/5e52wWKx8lAdJANjcfgiPQwCZBDjEDStQTaaVnv7mRSCWFhmA8m0L4lVi3ISlQ4I44T+cECU9ECFPmbDapwxgCKME5Je30s0P2xk6NYTnuuauq66RkRLkWfoVpPEkSf6x2F3ylom4xGnp8ekaUIUhQRBSBSG91E7WJwReBCbHwLUVUVT+3D7qix9o61rlYSB95Mury+5ubzk8OSMh0+eMJp46I4Q0FQVy+WCIs8RwHRvj/FkStIb+ALfedm0MxYrthm9Pp+3bVuyzYY8z5hOp1jTslkVLO4WvD+/oK4b9g/2ePT4Eccnx8RJuvMMA1jjuLud8+79OVVZe2Ch8nsW6xy60WyyjDwr6Pf+e0wWRTxCCIVRiqppaFZzdFuA0YyGA4QRBMmIoDckHEwIVRf6jUI4ST8OwVicDDBS0Fc9jPGZRiru45wnOvWihIMwpmq9kVNbje4wsFJItBD0lPI3O+NzSYy1JEKiggihAoLuRoIzyGBMoEKwxufjqADdlL47KUA3DUEk+Ee/85wHsqGY36J1hVkvWF68Y1HmmMGA5997zkl/RHt5wfn7S3728oJ5UfKPf+tj0rxgmeUUWcnrt7e8XdV8FiS0rfah6eA7UJ3cIxQhdVOgneP3fv93uPnmC/56/jVN1RIGirPZiD//Z/+SKi/50e/+iEePUlQU0Uv7JCrE1CXnr19zu8kYnB4QpyGzgxn7gylG/DOMhGh2gFxWBFWNEZLJo4csV19xu85AQFMWhFZwevIUtMMKiRqPuPzLP+LVi78h6Q948bM/QWjNOErpTaZo3XJ1/oYkjmi0o21qPvo3/j776YB+tebhgz0285pXVw1h2qdcr1kLCDYN765uSSYTqrLlbmOIakVUZOwNJf1eSpZrRoMhejjjur4mTvvopiKOIhIliF1LqyuSvRFnwx5RkBAHadfJNOiypqlrWgGD/SnT/gDVGALl4RlWt9RNTVtrylVGkWfUTcMmK8kzH0RtR57S2KxqFuuCUluOHh9zOB1j85o2hNF0wngwIrKOti1py4IA5TODrEXXNbppyFcZm3XGq6/PebOa83x2imtbhrMhdd1CGhE5kMbw9su/4o/TgB//6HNkNEYYS1Pm6LYk7EUEg4i9gwNmoz1kDbUoQWu6RixN1dCWFWWdgxPUheXtm3PuyjumTUyxXIMRtLpBDmC23+fw+IRpb0ose0gXYVrRTUUtdaG5vZ5zfneJiAUhEl372IQqbwDH6m7Fqqw4lfG3Liq/iUdbFh4jL9X9xqnzxmylOjJQnnDXSaCUkB2pT3my47agFJ4kuC0m3Y6I53ZToW0hqa3PsXIfyLbA735kJyfdSr1kVwxuu/CdI+Te89fJI8F/nyBQpIFikAZI21KsC7Rbg8mRtCCMz/KSftKkZIA1kGfeK4e1xKHqioiAqqrJspLVakOe57sNmuvCJ7cTVtuBL5SSjMcjTs5OuLy6Y75Y0WjL+dUtP/3zv0YKwW/96PtMZmPvDdtNY++9i9viOFCK0jk2WUHdtMgg6p6zBz/kRcn17dx3kWWAqEvW8zl1WRD1vRdkNJ4wnkzRZUG9WVEtb8nzjGK1pC02hE6jOk1dozUiStnbmxHHMVXTEuK7za0z3ve0WrJeeoR7UZSUZQ1CEPUG9McTiAfoLi/Ywm7T6+V8AiUhxJIKwyAK6EUePKAC1XmzuvxKt5X1sWtkBGFIEEUEwdaj6OW8SjratmF5d8u7V69YzW+8zzT2kiQrwFmDaQ2mbQmU4MnjBxwe7qECSag83VzJe6+e98S6boPmCa2b5ZLV3ZwyKzzNUXkfYdvUCBmQxCFxqFitNly/v2Bxdsxw1N/h2cMwJAy8lD9JU8Iwgq4IEPenwAeH6wK9W9abjG++fsFmvSEKQqqqYLla8/7dO6yxHB4d8/yj5+zt7xNG0S7LzHSyyqZumC8WLFdrWuNf17ZtaVvdBWobNusll+/fe+L737KjzjO/fsn7NUp0a4iUXlkhpY9KkypAqKBTXMiuWeF2BaQT20rN7QA2Wym5rys7SmqnrthGmmz93Fsgju+tbenQHzTMuP96/964LnZDsF3nvMdZEIeSURLweH/AOFW0dcmyzljPb1ncXCLaioPJiP3piDQJ0a3h6mbO1c0C6wST8Yg4DNhscq5vl9zcrbi5WxP0Zp63sc0E9bkDXSyM202gDg72+d53P6WuG+arDWEQ4azl1avXlFVNWVV8/qMfMJ5MdhLTpmkp8oKqahgORwxGI5wUHliyyRmOhuztz+j3ejR1QxhG5EXJzd2cpmt+NG3joVR1iVLektAfTdg/OeP85TdsFm95/+JrXj94hDaazfyOar3gqtz4KX1VEUUxzz/+mMePn/gQ+UBR1RWtblgs5rx9/75bew15UVOWDUEYI8MUFfewMkAFAWEU+8aq1P6+JzXekeHoB4LZQDFOBXFkCUSCDEOipEeQJF4lKCTO+OLXIgnCiDhJd1muzrmO4OnlnXmWMb+9Y7lY+GGANV32oWZvbw8ZBAgEcRwxSGPOTo/Yn02JoogkSbqGqx8mbSXXpmvaWt1SFQVFkdOUJVVVUdcNURR2/0cgII1jlITLqxvevvwaq1uefvQRw8kUgKoqaeray0gnE4bDEUHop3jO3UO7HPfn/RZeVtcVFxcXvHv33oNqln2yzYq7uzlhFHL24Iyjo0PGk/HOt+3rYr+uNY3m8vKamxufFeqLRd8ownnKalV78E/TbOPD/r8f314sqggVKiIFiRxhe320MwhriKKIptFURmArTUKOcCuaYtnl6SisbXCmJY77yChBydAvBtuQUuXhBTKQgCJJB2AhcJZIAmFA2h+hVESA8NrhtkWGAte0OKcJ8cS3uswwzm+OQyVQnUxChiFYDTiPmLeaOFF8djZi1pT8N//pH9K6itPnJ0xVyd16yfDRQx4/ecRBOiR//57N1S1vL+a8WmSko4R+JFgv1jhtubxY8hdfn/O6sBzd3PkCwnjyneh06WEYQNtS6QYrLKiQZP8hd/kXXMzXHE0H9JKIaG/K6y9esM4K/u1//x/y/OOnBNZ5Auj1OfRSzk6OSIOQzd0d5XLJ0eQQXZaEScR4tkf87obnnxww6Ieszq/56utXgARhyG+v+PqP/ktmsxOG/SmRUgT9Pt/7/X/I1eVLmrpAAS//4l+igpiol1I3FRY/bavLmsHDJ3z37/5DZnVGWN2RrwbUYZ+NViTZhkWxITw4I+lN0eKPCQOLCSKG3/ktwukpS6dpm4ZRvWZ5dUOezkBNSAdD0jAkCAShVMTCUawz2oFgerhPqiICGVJuSpxS6KrFlCV3izXt0T4P9g4RVY3B58rZ1k9BndWUVc3ybsHLb16xaHJ0FDA9OODg01OSSBJlKyptiI8OOH5eo/MVD4/2cUWNOAoY9fooY8FpJNa/v8YT85qyIlt6euD7Ly/4Zn7BwScPeXg2JAkVm3VFuWnITMXZtA9hytMf/whevsK5BhFBGofUTcNiviDejzk8OqMX9jzoiQACh2kD2sLHajjjaHVDrRuqvKapLXeXC7558YZFv+SsnLBqWtZtxenTE44mR0xHY5JggHKepKYbTQDUZUtTt5RlS1EVbGyNCBUqChBWYrSmqhqEEsRhyKsv33F49uBfb1fyG3RYrUFahPATOTr4gD86X53cduw6ORLbDcQHAIiuyPTQgi7HTG2nlRKJ8EXmFkDjtzpss6n8Hsx//60r6F4H5gtJIbb91Q/kqffPFIFDCUcQCOLAYuqC+c0CuWkZJy1pZAgjj2yXUnVTL++RrirD1fWC+SJDNxprBVY71puCq+s7Xr6+5PzilkfXd2itCQOBQO6kuQ5QQmCVxNmAJE3YP9jn6PiQ9+dXVG0BCG7uFvzVX/+S4aDPj37re6T9xIfTu93L3f2u3qPjnKOsGubrDUXbEsqAwBrCUNEb9BjPJsRJ4gPqW42j5O76gvXdLYOpjybq9QccHB7SlDnzsvDY8/UKUeWEtiUQPs6jNQ4nJNP9Aw7PHmCcoyhLYueQQvrc02zDarWm1Z7o2baapm0J4h7D6R7jvUOMjGm1l2v6gnGbD2dR0nrgmWsZBI5hEpLGISr09EekJ726rkDTxiJUSND5nMIwRkWx32Apv3lVEuqq4PL8PRfn78hXK5I4YjgaEoQKbWps4SWBHv3uZWdHx4ckSexlcV0GLM4infem7TL1Wj/9WMzn5OsNppvwxrGXR1VlS9O0DIYp+xPvocqLChUFxFGAbmpUGKAEBGlCGEZ+Kq5kV0RuPb33Eu6d2tt5sEhTl7x5/YavvvqGIs8pypq7uzmLxRJrHc8/+phnHz1nOBz7wlPggVFCIYRhG+jupVgKZ4VfxxsPkDLaA4FsY1gt5/SH395t/008jLPILkRebYu77TRiWwRCF5GhwXrYlut08Ntm2vb63BKihZA7JYaQEhl0WY1bqau4l8B1OlU+bIzt1K7ufrK4/Ro/hewKxq0XrpMjBspPtdJQEAtDWWRcXG7IlOdm5Is7Uml5fHbE8f6YJPLQrvnylm9enXO3LnxeqHXkec5iseHt+S3vLudc3S4xQY+/X1b0hz0vPxUSJ7bRHl0hayxhFPLgwSnv3r1nvd6AlKRpgpSwWi752V/8jNl0wng88VOsVlN1RUgUp6T9AbobpuRFRlFWzPZGJGnKcDBAIDg4ONgFqltrEUJSFznX5295MP+EcUfvVGHM5OCEwwePubu+ZnF3yc/++F/QakOxuEWYlqou0Nah4pSnz57x/R/8gDAKyTY5Tag6BYLxcRJ1S5z0WcsVRaWpWkccKOL+hLg/oRURQRh5CbkQSGMJlMRa3wTEGnoBTFJFLxLEISgVIcIQFcW+Oda9z8LZjjrr/NrQrUHbO57VPs1gs1py+f6cq4tLqqoiThPSJPEqC4SnjHYN3NlkSBAonj0+o9/3eZe76VsX00KnytFGY7WlzDPWywV1Vfn1SCqitOeblIHCGC9/RQqSNGE2m1JVDW1dkm9WxEkXX4Qg7eSug8HQN5y7xohvDsMuh7lrCrdGY9qW5WLJl19+zbu37zvps/XQoumUk7MzptMpSZJ0+4ntNHF7/QifwZv5c8l0ElcQXQPN72W1tp5WXtXfum58a7FYXH+NVJYoiVEyotmSqoyHywT9MXF/ShD2EdLijEQQU9HQT/uINiQrlhTrBc5olKCbFjqStEfaG3qZDYogHuBkQNM09OIA11raylFkG1IVkvRSVBCRBgECS2U0lTZe+oKh7V7lweAA7Zz3RxIgA0nTVCipCaWXBE16kmR5xT/7z/+QfLMkThXhXkzc16jpmGeffMyeDFm/fU+2WvH1i3f8wV99zXVeEIQh85sVd61mtcj44sUFX11n1EIyv51TVDnGjZFCYEyLjFOUCrE0NLVBRv4NGh0fcvb0GT/94iVxIEiU8F1oY7l6fc5f/9UvefjkIbGwrFcLrhZznnz3+6RSYIua4uaOOleEleHtL17BsyO0dBBIZnsjHj1+iK1a/uUf/czvN43DYnn5sz/h5OPv8OQHfxfZCoIgYvjgGT/+d/4j/vif/t9Zra7pxxFCVmik7+JYS1G3HHzyA377f/kfcdofI6++pJaSb25rarPA1DknSUndtoyOn6ALfwkY3UKQMNl/yGxyggwEri4p8zViv8dAxlxdLejN9ggjnwETBzFCtITDPgcPp4zjAGU8AERb6435xlI1Lc3+jLNPvksqEpTy/i7TNFRV6UlR8yW1bcjrgiYNmD44Ie0nTEdTpskAt8zJlmtWWpNO+vzdn3zK6+WcWSe7Ho4HhOC5WA7a2tAK3wHSRcvyesG7d5ec39zQOxpzfPaIjz95SlSFzN/c8NWbWwpbcPhohGsgdxWf/vBznj99QpbnRLUm0xlhGnDw5Ih0GDPuj1CtgNZhaH0GFoK60TjXedysIVQBpjJcvL7lb371gvNigREti7s7D8R5esjh6SnTdEgSpCiRoltL2xSgvHfOWEtT1+R5SdkWEEMYBZgWQmXYbEpWmwxrLMNJj1E65Hqx/FftR37jDh++LRDC3MusthtW5xUJ2+V4u+Du7Dp8uNnqCIJCdJtg5QvFIEBKn1+mOgnptmsvZLjzDPlCSdz7Ef2urQM/GLbgBylkl5vUZScFnlIJDum6fNAAUmlxTcm6XCHjlnAkSYIA1YVwd2pPcNAay2KV8+LVBdd3G0KpmC8y3r69QjvH67cXvH5/zXKV8eU3b9hsCvZmY6/YYEtRdN3+b9uFDxgMBzx4eMqb12/J88z//lKyuFvwq7/5FY8enzGaTZD489G//N0EottsagSrTcbNfElZW1wAInCkYcB0NuXo9Jjp2wsfWF23CGfZLOdcX7zn4MEjRNoniGKGkyl7ZUFTex+JXa+wzktVjfYUTBfEHD18zHd//NucPX2ORVCVpS8otKGuSpoip+06/TIIabX2vqfY0esPSPtDNJJAW4JW02ivQnCdbN0bKAyxsIxTxbgXkkQhYRj44rg7/XRraOoabSxJL+yaEKojeapO7uybV1m25vzda+Z31ygpOTw+ZNDvo4IAY1vKslu3ukBvISBNY8ajbW6Xf93dtkjdeh+Nzw1br5as5nOqoiSKQgb9PkkQggDTGFqzoqwaekPBcDRiuh/4zrkUhHHQTcY9uCgMI+I4vpd+2Xux64dNmvuplKOuK+bzBV999YKr6wVRFNC0BiEke/t7jEYTnn/0MWmvhzH3CX7+fNw68XyhOBoOGQwGbNY5Vd3suvqmq0Scc1RVzWb9t9CfXddIJTGyU0ps1ynho0N8G8yC0PfSUfzUxe3Okvt3a7tm0RWTUnVrXOgn2mEU+wlOGPjzVu0E+7u11KNbthmO23WOTlkgkFs/M75p54tKr7CIAkGgwLWVB3Zs5pybklGg6YmG/UHMycOjLqvTF4qbTc4vv3zDV68uKFpPeX5/syD+6h3L5Yrz2wU3i4zbZY598ZrFakW/n3TeOF8M226jr7VXsKlAMhyNOD4+5t37C7Q29BIPB8vyktVyxauXr3n6/DmD4YBWa6SUPsc66dG0LWVZIkTF5eU1601OmBTkeUmSJIzHEz755FPKukbKP8OY1kOvrOb26oK7q0v60z2cikAIkuGQJ599jyzb8P6br7i+OsfpFmFbZBexJKXi0ePH/NaPf8JgOOLudkFeFIRhwHDQRyrRTRE9QMs4SdVoWgOBU0S9IVHax1m1Uzjcuyc6y4QDKS1ppBglIWnsbQ9CCS977qS91hiw1gP5mrYjg8rdv3ugjaVtarLVgturC9aLOXEk2ds7ZjydkPZStNYs5nOyLGez2aDbmuloSK+Xsr839effTgbM/VpnPAhHNy15nnF3fUNZ5KSpjxmJksTHyTWNl4Yu1oDx67EU9FJPVY6imO3UWwUB/TAiCEKSJL1vnGxvulJ4XDk+T9ThPaJaa8qq4vWrd7x48YZsk3FwkOMc7O3vc3xy4ifU6teVD97h4vN9Zeez3f2uwq/rTdtirKWoarQxBGFAXdXkWf6t68a3FotNmyG1xbSlr4Odr9hVENLioFagS/K6xpiGOO3hZICwjqJe+ziLNMEkPZqypqkzjGnAadpmQ7649IuFCpFRj73xCYPZjLwskCqgF/cRUUrVtKzuVl4TjaUqN4BDBRGuadBNjaFlMB6BqZgOpoTjkZdIOQvDhE1V0Y8jTieKh4nmzb/4S6oyozfxUz3TaOqR5Hvf/REDo9B1QbbecH294Ke/esuXVys2RUMcOl69nVPdrri+XfHmesWmsQil+OM//zn/3j/+X/BgT3dEKM0wSlAOGmtpsoqwL2nqlgrLD3/8XX7+iy9QoiDahgMnirBxHjdtNGVd8fXLlxx8/Ix+mqKahqZpENZyO99QLSuqokI4y2QwYDNfMj4YMZ0O+OTRE65fX/B//r/8X/0mREraquL85ZfsPfoMaxTSOEaTHg+++1vMzh7x03/6f+Plz/+MMPT+oaZpaKqagx/8hN/+R/87DqIEd+W7ulm6j6kUrW5QuqIWJU7EzLOKzfWcuilpdEPd1KyzjKhXEFfSe/CiKVE0ori6wilJmoS0lfeXVuuM0WnC4dGUXmDAGn89aV/00jaU1wtuW830h88ZBGOavCIKLNUm94hk14IzzK/vuK0yagFH33nI84cPkI3B1Bazrrm9nlMWOdk65/pySd4Ypg9OiFpL7+EBQeA7dU3doISjzDNcL2akEt5fnHN9u+AqXzH6ZJ/nHz3kcHJMZARZVhC2Da5ek9mSg3aI6ilGQjL/6gWj8ZgkCDDGcbG44fDJHkfjA5RwxCrwNMvWYLWfaGK9NKNut5AAS7EuyXPDYrHhZrMia0qC2MEw4vSzp5zOThklMyLrEEKhZNB51JTvhradzyhUHH98hsYx+YuQXBmshcY6sk1OlpcY4eirHhbLN19+/a2Lym/iYdu2k8B1sipvKwTuN0ZeqbXtcotdcbSb7YkPHitEJxH1nfttN95LKr1kR4URMoqQQbzzsey2Y66L1bDswqfF/4e7/2iyJcvye7Hf3tv1kaHj6ryps6oaXWiFBhp47AYMHLCNNJi9AcWAI34lmnHIb/BmMCONRtDAh7aHB7RAV4vKyqpUV4U80rVvwcHefuIWRfKZPQ7Y5WVZce+NiBMnznFfvtb6q9BEIWQYOtXhsXwXJZDOx05kUjJJYSIFsfMOq850OJsghUJhfUvo5OgjgDaOm9sNr9/esysH0hhu7kuwr6m7juv7LbvG0LTw+u0Nq/WOo+UMDrmU/vUazYCstVjnDR0eXZ7z8uUzdtsNzjjyJMFZx93Nilffv+bxs0c+HzC8TqMpkB+8JcZYbu9WrNY7BuNIbNAhZimzxYyj42OOjo5I0pim6z3dsGm5u7nx2VxpAUIho4TJcsmp9m5hbVOzLffY3oDWiCTl8Qcf8vv/1R/z8rPPEVHMbr1hv9vRNC1D1zP0PUoK8iRBxQnGOrp+CIwS/5oKoXzTHRpo3xqEbTIS4wyxM2QxLIuYaRaTRMGZEBABreialnJf+q12VhyGe2fHOBHNMHRs1yturt9R7zccHS04PjklTjNwgmHo6Fq/pGxC1pgxnoKcRQlpEqO1xUmBcH5p4pz0VCar6dqO3XZDud8jEJycnjCZFCgV4fqerumo2pr9rmK92ZNkEy//iJVv8gPV2VmDcN6NL8s8sojgQP20IcJBSj8sa+2HeGsNu/2e+7tbrq9ueXt1Q1m3nE2OWCyXnF9cMp1Nmc0XpFlGP2iPWEJo6H30iw5RDThYLuYs5lPevr6m6wd0iOHyFEtQ0jvJ1tUPN1D/EI+u8vRDETTGIIJDp0ezfY0bcw0ftmS/pl0F/32HNZE/vH4xMC9CAHgUtGFxnBAnsac5BxfQB6ZG+BmjZlu4w7IoihRxEhPFETJoxIQQKAFZJDx9O5LYwVK3hlLX2K5EpHByOuPj5xc8Pj8mz2Kc0bx5d8tf/91X/Me/+Hve3lcMxDgt+PK7G95eb+kDg63pNFU7oO9W3N7e8fTRuacqjgtBOFz7ZVmS5RlZnvH46ROOv/mO1f2aNElI4og41gxDy/XVNZv1mul0ggCyLDlIH1xnPJ10GLh6946yqsjyhqqqSdKU49MzHj15Rj6Z8urdLe+u/hu6rkMKaPZ7tve36K5BZAoRaMRnzz7gt5OEdDLj+tV39NWeofImTiqOefb0Gb/7+3/AxaNHlFXD3d09VVUilaJtF0ymhTeVkpHPCBwMgzEHKZgTHoBxDh8Rgkd+rX1YH0rpUA4mqWKWx2SxJQpGxw68vMY5zKDp24a265BRSpZPiJNAswdvKlM3bFZ33N9coYee4+Mli6MjiumMJEmQUtD3HV1TcXN1zWqzpWk1TV0xOOHz3UdZiBtr6Wg05zWJ282W+9tb2qZheXTEydkZs/mcJEnouo629eaXr99cs5xPmE2nQQOuwzmeEEc+4iTLC6IoMCiEeO8KClFazmElOOP7BQt0XUu533N9fcM3375itdqRpjEXlxc8ffaU07MT5ssFSkWM7JNxuTz+2ddPv4JZLBZMJjlm2OMCS6bteppuQEpBkaV0Xcd+v//BuvGDw2KUpj7w1HlUBzvgtMV0gQ+7X/uiE2gMdelv4E44nPFPWMmIKMsRMgEnkcaAFFginAzFQSiGoeft/XeI9RuK2RFpMadrWuh7sC1SJWgUXT/Q9g26r2CoPEUizpBpQe9aJvmEzf07oihmUUyJ0pxidszjozlPzyf8k+cL/v7f/lt0X3F0cUyaZqTSsThOOTtPEU1F3Wq6qubNmyu+fbXiu00NUYRzsK9b/ubLN3ylfNB01faoWJFGlvJ2TVu39HWFxCHTnDjNEYPXXu7WO1KXIlWESiImk4JPXz7ju+9+4eUpUkLnDQ9MtWO32nE8SXj2+ac8evqCeDAY7djc3vN3f/crLl8+5i/+81/TLHMSZ1jd3kOkSNKEk6MJs1TyB//oc/7t8w+xbmB1e4tA0JYV8+UpaZRTD4Ze99h+YDI/4Z/+6f+Wj37vT/j7f/9/4vuv/pJ0MucP/uv/NR/+9h/h6oG4vqVtdqzknNsKzP4eKQRnUwEMaKHY9Y7dvqTrW4auo60r7ld3xNmC08Up94OnBUdtz2AMFxfn5DKhzyxDW/Li6Ywffzzj2dQh+gZUBJ2hXW3YNhvsoHn99RVvo5jf/+2fUm52xLFAtIamb2iGkq6u6fTAWlckFzNePL4gFhGJyFDC0g4Nu31D27VU9xvefXfHn/3iLWsZ8YfTgtki5eXJCcoIBt3Rdi2xgL7uacuGt+82vH77Fnsc88Uf/Zjz5RG5UNAZrJbYdqDdN7z77g2bQpDPMxbHKYvecfdmw5+9+kte/uFPefLiOc8/f85yNic2gkiC9MIiBAI9+FgOE6z6rTHobmDoeu7erfju9TV35Zq71S2NHfj00xf83u/9Ds+PLpkWcyZxga5bHBFGe3MHISRae4OLYXCUdUk0L3j0+JLPXr7k6+tXdL2lbmocPntssiyYTTLSKMLYH6oa/zAPMwz+D+83L3hNwaGXOdA/w+f8vx4+90CfG63mwxQmHiilUoAJVCyhFCLyyBTSh/A6MeoU/cBAsJx31i9NPFLy/qCYEKcpcZqEvFnp6UFpxCwVzJUhlhJkxEQlTLLYU3Asgf710Ala47yet+lAePqsMY7tvmRTNuxrjXExQhj6dghDh0UFC3sr1OFGZZ3fABvnvEX4bMaLF8+4vrqi3OzJ0hSso+86Xr96yxfbkrPLzGsGgxOdlBIlHBKvlb6+vqFuO4zzG9MsTZhOcvI8Zzqfszw9Q6n4oO10VrNdrdiv16SzhR/ScIg4YXJ0TJxlOGNodxvW5Y4IwcsPP+af/+v/KZ/+1m9hpWK33bGvKu5vbmkrr+NUIQLCRn6FrgeDNpZBW6Q2bLd7tustxJ6G2gfnUGtNGKQtkoFJZFikESfTjDyJcNahzYCMFNY4qqpks9lRNY03itPab4wjjR46XN96l71yx36/QwrBsxcfsDw+RiUJ1vjg9bGRqcqK+5XX6rVtDw6SJEYqGVwpBVhxcBa01tJ1Lbvtlq5tKfKM5XJJUeSeGjYMdIOmaTru7la8u7rl9n6DjBPOd2cgpgFdl8RZglCSOFUkSUocbN0PWOKo7w16UWstSnoq3N39LddXV+x2O1YbP7hbbTg/O+f5i+ecnZ8TxRFx7F0FhRiZAmMjONC2DW3b4KwljiKKSc7R8RIhHd0wEFk/2MRRGHCFH/R1eJzfpMPoIfRzgZZ2AHJlaDjHyVD45U3IWRwHwYM2UYzkPQ51c2RXABgcWkDXiEN9FHI0CXuPnhryG0dGwViBx5+joogkS0izjCTLSNOUOIkp0pg8z1hOEtJYYjtN3qcs7IzUJZwUkqdnCy5OFiSRYugHrt7e8Od/8V/4xddvPNV+vJc5x3ZXs1rtfHRVQPeNcUTG5zEPQ3jdnKdWjnEiXd9zd3fP8mjBdDbj/OKcJ48fUVeVp2nHESZNcNpSlRWb9YbHz54eYtZ83qJHfOtyT5IZrq6uaeqWtm2pmwbwWuI48V4G//Jf/Sv+9m9/zl//7Gd+qdw0bFcr+qYliosgpwAZJZw/fY6MM6aLY7778m/ZtB1WCc4fPeZ3//CPePLiOW3fs9/vqZuGsqwODrZSqYdMvv2e7XYbaI6errnfV+R1y+AiVARKefrjaNQmhJcFxRJmWcQ8V8RRuC8Gk5q2q6irmnJfMvQdcZpxdHpOkmZBT+gzCtuq5PbqHfc3N0gpuLi44PjsgrQoDhRWawxiGOjanru7FVc3t7SdoWz840qh/FAZFpIuMOf6oaPc7bm9vma1ukcKyaPHj3n87DnT6RTwmbJxHHN/v+Hv/v4rvv/uO378xSdIFaH7gUEb4lgQJRlpFmKtktSj97/GVnpYr4zSXCm95Ge1WnP17g1luff0+tUaay3PX7zgRz/5CY+ePnlPUz7ymh6iq4CDzGAYBqSMefLkkk8+esmXP/+lX4A1LU3bY6yP91DKU7DbpvnBuvHDvtDWopLEi03N4B32lAWrESY0M2Gy9cjHqHGQwYrab5wNAolFRAkqm+ICCQfnT2jrfKgnAszQ0FUVumkoTYvpa5wZcFb7zbBUCJWErYTzNvcIlO7Yly1ts0eqHCsT7rseCeSbOz4YjvijD79g+7d/yc27VyxOj0mPl0xSH5CezDLmkxRT7Wm2a+5u7vjuzRXf1j0/+cPPcP/5a9re8vjlE4a245ffvMIMPsA3CvlnVdVitaHeb2i7juXjx0R4eNsMhmZXU0tNoiTTNEUVEc+eP2J98z1xopjEEWriuN+U7K7e8s0vf4V++ZRnH32E6DsUgqGv2XctLOa0RvLXf/MLaj0Qt5q/+/tfIpVkmiRsbu64rjuyNOFHz1/yZ3/zlwcOuDE9eqgQ3UDf1fSDD8Tdu5DgbQUym6L7Dplrqu2G3dVbZrFCtht2ouC+1ay2G/ZVDUKyfHECkWO7Kdm4gc36PhQcn/u4Wd9h4xSL5mx+xjKfs96+Zr25h1RhhPY3gSgGJyhiibIG2w9o06J3Jbf3t9hI0reS28Fy+aMPWWQTROcYBk3bVpS7HcYM3G/W9EnE8oMLXr78gEWcs1/tsHXH0Pvgaz30REKwXld8t9nTxYK6bXGx4vyDFxRRgakHNl1JP/T0Zct+vWVjW6xxFJ8vOL884fHFIzKXYXWPM4Z6V9HsKr7/+jWv7tds7w3RccGPxVOa9YZdV/PjP/0DpknOdDFlOV2QipQsU7jeoLseKQx2CJlU1mflDIOhWpdcf3/DZl+yrhvUMmIRzdCtQc5TfvI7X/Ds5JLUZcQqxXV+MLddh9ZeHK6txRiBsDHNrmTTtJwmiklWcHZ6wZe/+gYdQVNVDE7jIkkxn3qKhUrQ/fCDZeMf5BEoRb7xeXBAfF8ROFLa3ifLHWIzDiIrxnUlvzZTH5aKIQ9ubLTEQ538tccDhLMeWXSjm6DlYKATrO+9a2bib6whL05NCuJ8wkQpZrEllRIVxRTKUaSe0uwcCBucDh0H0wbwmsMsjlhOJyxnBZGU1J1GSYvuNcIaiixjdGzzLBr//G1AGY11HuFzkKY5cRJzdHzM2ckxtuvJkhQpFTutefvumqvrO84uz5HSHZ6TkyZonAR9P7BabxiMD/WOYkiyiCiNMAKsVGSzGRYXhnqPivXtnmq/YdE3EKfeEUgqZJKSRTFH5+fcLBZUmxXz+ZSPP/+M88tLdtsdm+2Wu9t79psNuu9xNhizxDECyTAYnz02DCGbzud+be7vyd68Q+UTBu909tB7C+fjKZRlnkWczhJmaYJCHFxsbTdQljXrzcbncWUpeZoRqdgPlH2P7jqGoafrGqz1Ln+zxdLnxkpF2AWA6/3Q17Zst1vW6w1t663kJT5fNE28MZ21Dms1bdugB03X9fRdhzGa+XzGyfEJeVH44VIPOOE1TfvdnuurO27vNuz2DUm2Z73eEQVUMYojprEKVCyPKI6Dgm8hBFYqpAMjnA8ol5Jyv+PNm1dcX18jpSTNUqazCXGkOD6e8ZOffMGTJ09I8yQMFsrTGPF5gf7eo+m6hqYu0doQJzFIQZqlHJ8c4fCB3XESk0nfVwgpiWLfJEvx61jab8IhpEe9nfTsBXgY+AQCMbIqwkl0yJN1D5XvAfkX7z3yr1WvX1urOefd6F1g04+NbXj7fS/53kOJ9x9nHDCDmZhHplNOjhfMoguiiUIZGJo9pqkoYsFJUXCcSyapBGtom4ab61t+8eUv2e/2PH98QRSntN+8xTivaUvjiO225H67ozc6MDgEs+kEHLRtR5zEB1Mei1+KGWOpGq+ZcwiyPOfs4pzXr18TKem9B+KEJE7Yl34ochaEUL5mjBmURhNFiqZt+fb7V1RNx6RtPUspVnStd+ZsqpLlfMaL58/42d/8Hd0wIJ2j3G6p9nuKNEc576TsHa8FcZozmc19Nqzxxlaz2ZzpYklvDFXb0msNghCVURPFEbN+7uMfupbVakW533utnvXRT/vdjmy3x0U5UQxx5LyL8ng/FICwxBEsJjF5jK/NIUal3pesVmu2my3DoCmmU6aLgnwyRSrlB1PTUpcV6/t76qpktlh487+TU6939FQcrDW+brUdd3f37LZ7zOBzgPt2YLE85vT0xNcJY5ESv8jrO3bbHfd39+z3OybTGc+fP+fs4oIkzRE4dN9hjaenfvnlV/zsb76k61o+Mw4lFYO/5aPihDSfkk1mREmGQD7QkuC95ay/Jjx67qirmqu3b3n9+nvapibLc6SI6AfNYjHjd3/vpzx78Yw0Sw5RQmAObKZxYDTW0jYN93f3CCk5PTvn8uKMH//kc26ub7i5WdH1XgOvlCRLE7I0QeAzc3/o+OFhUcpQzCVCJiH/xiCiDBF7Iasb1+nWO1I551AicN79g3jdAhLhlB9EBEAIURKKKMmwzk/WwgnQHcNQ4nTnX1gVI5KJR/dUioxSpPMW1wJQVqD7HTiDjlKkMgiVYlqJ1T17Yfi2v6X9ZMnNV1+RHE2ZnF6QxIpESYgE58cZrtzQ7kturu75/t0d9XzKv/wXX5Dervjuv/+KTz77gN//xz+i0PDmRx/z7dsbvn39Fmvh+fNnuEiwul/RnS2osTwuJthhQPedh8GJ0L3BKU1sBnADjy5P+TbKOU4F09jRa0edJrRNRdNUnD59wjRJSAU0mzWr21t64fjitz7l7ZdvuNs37JqW/uaWOMtZLif0fcPtzR3RYGkrR9M3dHWNDEmybdvyi1/+nEeXHyD6jtb0XrArI+rdnq6q6drKW+tqzdu3b9kZxefPHxEpqKIZxUwxFUFr4DTTQjLJE/ZNx6rv0diDjmeaplghqas9b3VHU5aY6ZJ+tyJNI5T1jaHuGqJUcXyWclZIXLXDtg3des/tm+/oo4j7VcMGx5Pf+4wPX35OrAVGt1h8ZtC22iHSiJMXTzh9dE5KQmwlYpBEKJpmT1219G1Hu6+4+eZb7qsti6cL/uTzJ/ztV7dMipTpZE5Xtui2xemG9d2KwUHNAJnk8skZTy8vkT3EOgS6G4HTDt30vPrqFX/+s59z3dQ0OD6LM7Z395wsMmZDyvbdmrMfXzCbLsAYpLIII7FOI9DovmPQA0Nv0K2np2g3sNnu+fb2mlK1FJcTnr18QryFL//ya06fpjw6O2cST1ED/rlofzMbdI8ZLH0zeO2xEWxvS3759TXuJOLpMLCYR5w/uiByMffbdXAedsSxIkklcRajjKLvf1gI/Q/zeMAJRwLN2MgcGqBDYxQaIeEbK/fe97//WA+EkwdOa/DFPFBQ/KLx4AMYmjAXMuZG/VS43wS9ohASK/x2HiEQfUTf1sSRxCQxsZlico3Mc2I1kDOQRI4ilsTK118VtCCeQhR+jrUoCfMiY5qlvHj+hLOTJQLH0e2Kd7drNtsa5+CTj58xyWN03yNk7OlhgQ3rDR+8tsNTXL10IctzptMpq1gxm+ZkaYbuOzb7kqt313z2xadkuR9cpJQ46Q1/pJTUTct2V+Kcb+Q9ZU7SdZqqrGmbmkgJb7AhVTDJcOjBXztNWRFlYRgL8RFYSxRFZJnPM0ySjK4f+P67V5RVTVlWfrsekNw08xFSwk/FXu/b9/T94PU2WMDQtA37ck9kBcgYGSlP8/MeRiglmOUxJ9OYRSqJ0NjB6/b6fmCz3XJ7t0ZrTTEpmC/mTGczP+jgfJC5HpvLmGxSkE0nJNmYUeibfh8a5OlIVV2z2+/R2pAkKdYK0iQmzxLSoGE11qLNQFs31FVF0zRIKVkulxwdnVBMpiil/PUxnofGUJUVVVWjtW98u36grhv6Pg+5axFZllMUEx/JIR80a4xxMAisglhCXddcXb3l1fffsV1vmEynnJyeMJ1Oyfc75osZxyenfPrpRxSTPFw7IqAd/n3Qg0YPPX3fsd/v6NrGUxlDBAxSMJ/PSNIYu6sPpnRSCtJEeTfXNEFG7w9DvyGH8hlsY7C8RwvBX71y7O8PA+G4IHtA/DjUwvf1UOPh3muOx88f6uVhufaelmoscsLx8K3vFV4HVvvFDDgGBF2liNC0y5w+lxjXU6/voS/JpwlFHBFLx9C2bLqWqiy5eneD0x2fffSMxdEJ6Vff8u76lihJ+fGnL3n6+IyyqvjVN6+4vl/TtBolJc+eXJAlkqapEWJCnKQH+qJzfjhSSqEHLxNQUnJ0tGA+myKdI89TpFKkaUZVNez35QG1s6G4W2NQkfL18d0tr95c0fWa3b7ibrWmyFKiKOb25oYo8lrd1Xrt38egPbfG0y1FVaOM9cCAdRhDMKlymL4jkeCMo61L9vsdSEHXevaSUhFJmtIPGqlinAM9aNrWv4Z914Xf279Hw9DTNjUyFQHMkcHTZHTY9bNAngjmRUwsvSRC9/7x7m/vub9fY4xhMptxdHLM0ekJSZYxaE3b9XRtS9u0SKV49PQ5k9mcvCjec0g16MHHMVXlnqu3b7l69w4l4eR4zq5s6PXAxeU588Uy0FA9W6UuS3b7PXVd44DTi0uePH7M6ekpUkXBWMfXu6au+e6b7/j5z79ks9miIkU/DlgBfY/ixLs7Z1mIlnrfFI+D94EL/2vrmvu7W26urlmvV0gpePTogsl0xna7YzbJeHR5xueff0xRpIyLFycIC5jwWNYDAU1Tc3t9w9XVFacXF0SxIkpi5os5COHz1Y3BOR/7UeQ5WZp6xpMxP1g2/r+4ofrNh5CeYCyF8zkgIYcHfN6XC05+EuldQLE42/uPh0rjHf+8kBrAOwk5o6FvwA0I3WLM4JsXoRDZMqCI4UURFmE1dL0va87irMAoiVAj9zsC4bCm81b2UiCilBePL6CsKPdb8tNjYuXfMm0FR5OYom8ob+9YrTa825fIRwv+6WcveZYv+e//4kt2vebRxSnLPCdB8DxLefr4nN/69AX7quPs1IeKRiKh6QYWyyVpnEBvfP5eXXP88jHr2xsGGtKiQIiY2dERz549hfIdeSo8lN8YzK5it94iLYhhYNAddbmjV4LHHz1HtpY//+bPqIyjbCoGlzJPM6y1bFc7dN2xudni8jNWVY0UGiEijHPk8yO0cVy9e02hFA5DkmTEac40KVhGOe+MCDdPSTZfEBcF0michZ1u6IXCOcF0WnCUC86zmElR0KgIGzmPPgVxfFzkPkcrnZCnEU433N62iH4gm8+xCGKlEM6RZopnxym50aANXdXx5rs31NIHJfezgucff8Cz0zNEPdBITw0rd2t6XZOdLDg+O2GSZCzmS2Tr2Fc7WjwaiHOIfqDdldT7Ha/vVvTzlN/97Y/I1i3lXU8kPHKAEERRRFP1VGVJKS1PP/mAWRyTzyZMohl60H6wMAY3aIayYXW3Y20a1EnOYlfQbfdUu4rq8ZwnsynlukNHijjNUU4cTEyM6/H5Pg4THEuHdmB/t+Xq5gYXOzZNx9lnZ/z48SnTuEAaSVVXPPvgOeZpzNPTUxInscOAYXT30/TaontLXbd0pmNo4ftXV+xkyTI78gsZlXjEZ7B0VU3dNjRaky4zpkWOcBKswP4Gbtt5z0bejZQq3v8zh88L8euNzIg/Pkx2njUBHAax97rjh+8LdMn3kctR1uCk10US/u3hWTB+Y7Dc9gs8Zx1Wg6XHdQ5dg8l739jLliS2xKOr/fg0LcEJUeLwtCLnLMvllKPlko8+fM5yPkUKweXlKS/Lmn3VI6XiyeNHxAqqqiJJC+IwDCFHnYpfNPphC6JIer1SCP6N44jlYk7X9mzKmqvrG+q6Jc9TrHMhWiJo+KT0G/m6BRnikqSi15bdvkFd35FN37FZ7z0VMdw8RRShVEzX9OzuV0R5i3aCwfoFinPmASWXEuME2+0eK9/RdwMIyAIVSsjI04WFwjpz0FZ5G3fr4y2QGCdxwpsWISNPoT+cWw4pHbGSzPOYRR6RKg3GMBifx7Xfld5Qylrm8xlHx0fMjxYkee5/tgkmcVISJzlZUZDmOSodIzTwHQkejdbam32VZckwGCbTKUWeU9cNu7KmyLMwQPnvEwgiFZGlGXEUk6YZy6Ml0+nUW7MLgQ0IN9Zvo9umxVpLFHvjJmtdoG86H9+S597EI8+Iojig2GEfPqLlEqx2rFf3/OqXX3Fzc42SkkePH3F6fk6W5ygV0RtDnuWcnJ6yWC4YDXBGIzatB3QI0u47T+NrmxrrHHHizw3fFAmyLCXPMhzbw3pHSUkcsteiSOJ+A2dFGadI+DXK6IgquoAsenrcwzILMWYnul9jWIyoRsA2DnXRt3zSL6h5T4vNA2tDjIWN8Wm8x9l4v8YK4fWs1t9nCY62ERblNENTooeaSNfMMskiVyTS5zV2w0Bd7tlvt0gcT5+cs1ws6LT114QemEwmLBcTTo7nXJ4vOT9dstntqOsWEBwtlyQKuqYmy7KDJnt0k/QLJ7+0sAHAKHLf8/RNi4pUoFNKVCSpq4q+70mz1J//4TdXSpIkMX3XU1Ylxvghbb3Z0qQJxlrevntHFMfc3K148/pNiA7xjtFR5ONA2rpBaBsIGgLr4XJft5xnYWE9VbttGuI0pes7T/2OYmbzJVk+CSyAGAJ6anRw/8QPn16XSKgzGqkGrAqmW0KGOUESS8MiU0wTwHT0fRPcpLfUdUWkJLPZlMXxMfPlkihJ0NbHE/X9AEIwmc29z0MxYXzFxp9t9EDf1tTljtvra7795huapuH07IjZbMbd/QbtLCcnxyRJ7OuE0VT7kv1uh9EDs+nU/4zlEYvZ3LMnAvJnjTcZu7+9Y317Q5EoLs6OqKqaqq7ohsFnC8f4pWPq69z7S2UZ7rGE+tPUJfe3d7x59Zqq3JOnCY8fXzBfzMkyn1UppeT05IgnT55wfLQA692crbVYEZa8fk2AGbzMYL1ec393h3OOyWRCpCJs0C6O1NTDUixNyDJvPuXzeX+42P3gsFgcP8MYE8K/PZ2FSIBMcdJPzZGMQhHx0LJSLjQjColB9y0MGoTFuh7beshdCl8+RgorgX4kVI6IZ6BSz8t1GmsanHEI4xDSMyWNkEiVIpIEKSOs7oM4XWCtF7EL55DKOy99cXHG1Vdfo9KYLIpAawYVkxUJi0lMu7nl/u6Wd3XL+Y8+5cOnl4jbFbs3V3x3s6VxDmUcw2DJs4hCxaRxxtlsQt12pEXMJFf0xrLf1Vy8eO5RUmNoq5rK9Dx69hRd7ikVFFlBJH1W36TIKCvfWBRKkKUGjWS3b+janrrvaPZr7rYbnnz+I2ZxSl3eE1lL27UeXZUxQ2/YbHaIQZOnKfPTCNn33L69Io4itLFERcH5k6ecqwzbGbq2QiuDUT39sMYOBuUM7WaDk/5GHPeavDVUdxui2JDlFxjtyPOIo8WE89jitjV/f92g8hMuop61XHHtgpW+E8xcTNZZaBtkFGG0IZlMyOIchd9KIRyPT2NOhKZ5845mveJ+u+G23hCfZjx59oLZ6SknJ08wd1satUcnAq17OjTTi1OOj484mi5gsIjeZ2riYBh6dNei246m7qj3NW++f82qKXnx04/55OIR++oNlyczytg3NHbQ7G/uWbdbps/OuJjPOTk+RdQDkYwOmXlOa+xgMF3Pfr3nbrPm4vMz/vSTP+Tbv/ol/9f/+DfsyhKUxPaW6fkxy9Nj7xImCE2xwLQeMei7Dt12VJsNTVtyc7NlPeyJEsXsyZTnz5+zSObQCZp9y/WqQUSKi0dzChV56q4eMF0XKIyOuqzpBot2Pmfs5nqNOBf86PEHxC4Bq1DJjO+/fUNrWpquxyh/rR2fzJjE3gQKq/lNFC3G0zlA0FGNTdT7ZCh+7e/A2FGF5gFgRAVt2PoFC+vx60bM50DncmEY5cEdLXxOOm8O4xHGh68/7PfHwTX8WUpP30tTRRaD0DV91TM4icslMhkd4ATOCWwgdqBEYJA42n6gbhryPOPy4pyjxYI0iXDOkqXeFv3sLCGJfaDxfrdhX5Ycn5wzi9MHLomMUHEcXD1tiBzxzVAU+39DQJIlTGYT4jRhtVpT7itOT5ZBcuA1Y6MxUNO03v47xFoMxrGvekzVc7tpeH29oR2MN2pBYoFYJcRJztAN7NZbxN7n3CI8aimBrqxxxuvjDoYBloMhwYhUOmRwlDaBMuab1kMD5Tw+plRMkmRESYpQMVaGfDrh711xJCjSiHmmmEQOZQaGoaPpB7q6YdA900lGMZsync/JioIoSZFRAkJihEMoRRQnvjHJPP2YcD92752Duu+oqpLd1mdBJlFMMVkymeRkec3denvQBeq+QwhPa55O56h5yLeMYpI0OTQ/zuG1btqiQ5xSH/S+SnrKoDE6RAB4NHY6n5EXRYjKCGHvyOBC69/nqq65urrizavvaao9pyfHnJ6dMZ3Pg/084ARV5RkXy+WCKIoOQ6kxPpKp61q6rqNrG4a+RwjhNUoqNOzO+ffMOm/wk6UHapgIaL3AL0qHXv9GLsayyVjrwNeSBw5EOH38cWA1eOOShzo3/tkeBqcR8QjfFnRYD/2nHKn977MzfmhYfA+JcdbfKIUbV3KCKJIURUqsBLqtiXTDJJYsMkUmQTrvrGlDMPF8NmWxXDCZeMOWV9++5e3VLUJIprMpSZoGaqxgsZiyWEz8wimwCpQEbQbfqAfHXBvy/uI4pihyhqFjjPdIkoTZbMa67x8WjtIPDXVd07UtSRL53zT8bqMOre18H+BfRx/nUTc1/TCQv3pN22veXF2zWm38HC8FWTFheXzq0aO2wfUehXUBpFFSobuAzOqHAXUIrLcusECSJCFJE/I880i8UujR/E0Fx9yAGgrp66MgoKyBnoqLDuwDgCwWzDNFjKZvKrpqQ11XHk2cFCRHCVkxIZtMiVOfi2qHAescaT5hMp0xmU49oot4r/6OiGJDU5WUuy2ru1vKcsfR0ZwnTy7JsgxjHfebPXGkMNYbXVVVRVPXxEnC0dERk+mUPM9JshyhRhp/WETpwTMD+5blPOdHn72gyFN+8atvaYJL9mI+IUlSismENBlp9vzaPRprGdqG9fqeq7dvub6+xhrLxcUZZ2cnFHnu9ephmamNpigyzs5PvKbR6IfF8Hj9We8Svdts2W93WGtZLBbMlgtOT89QSoYECv9eOeuXNlHQokYhR/awBP+B4weHxSw780NheHIGcCpByczfjh1EQmJ1hzYdXd/hTI2u7hC2DW54hI3L4DdWUYqKfDHGWkTkQymddURxhpAxlgg71D7cOSsgmvtBFIF13ixGRClRlILRONOjMoXWLRiNMBpMj3EDRDFO9Nx98zXT3ZqLRycIGaGdp74ksaBwLbv1Pfdtz9GLp3z+4UuWVnK9f8vrd3e8Xu/5+IuPuTg9QmvPUU6UdxCLpWCepSgliOnp6o6bZscXP/kMiaBtOnZNzfzilFmWk0URNp37m6T10RL90KEjSRtnpM4yLwqmeROyTxp0qlhv10wfP2YxX2BWa5rdjm++eUVV1USRIssyDzH3GtMbjNkib/ZY+0tavfcosdbMT8/J0xntZu9t4IcOESdEkcT2HfVmRb2+ohs2pGkGxtBvNrh4wU45yvae6cnAB89ekOgOfb9ipQWViSl7H9jstEZ1PVGk6DqHbRpEXSOLBboH2pZ9veZi8RGJioiU8vC8gifHGf3V93Tra9ara67ajuzRCU9ePuLx8SWyt+ibFW1Z080U7bDnvtzx2U8+Y5HnpFFE7MBaje4GuqH3OWV9T1vt6foW5yzl/Zpf/eprTv/JU754fom939G3PeW+pT3ziHhX1+yGivhkwenFOfO8IE8ytI2QgcohhM/o6+uOqqoYsOxWa0zn+PzlJR88Pufl+RE3wwBVz5o1JxcXxGlCkU2RKMxgGIxF6YG2bmnalr7r2ZcVd+t73FLw5PicPMmYz5dM8wWqV/RdR7suWd2uadOB0+Mp0jis9GYofdPQm46+Gai7jrbTbMqG4mTC+cfHFBPFyeyUzVXH5u2G48kFaSF5+uEF311fMTjLdF6wnE2QTnqqgtXvL4d/Y47p2QW+Oxr1OGNj8jDAEQbv8c8j/d6GOIRRV2it9frusAF3dsx3A4lFHvSND8Mige4yfh3OIoKeRYyZY4cNvjhsbcfNZaSgyGJOFzknk4RCDFjdMQwSUWQoJZAKpArfLyUy8iY2CMFgLHXbU9UtURQzmUxI0gQhpHdilQolJGmakESxv4bKhqpqiaKUyXzJ2HAjRBi+JM55ZHBkKcRRiIYQeGOwPCVJEpqmpaxKj/xYgwgjn1+E+RBhPWiGQTMMhqbV1GjqtqdsWox9i7U+Y1EEB1qVZOSTKSpO0IPGDhptrR+0Q4xJ3/ihwtPHhI8jEQTeltebWyFxzmJwOKsOG22rjY9oCGYdbnSojWNPkxU+alkyxp14o4c8kmTKIc1A39e0XYXTmiSOOFrOmcwmZEXh3UyV8nTcgHhHsdeoxkmKCq6SIvBbvSOeCfTYjv1+y/r+jt12jTWa2XweLOATZOTzEbX1Q581ljiOSVKve43D7zAO+oRz0znnTe/6jr6pPTUPSNOYOPZ+fsMw0LUdTnhtYJ4X3gZfBpdYIf2A5ryB13az4erqHevNljRNePLkU+bzuUdeEN4kaNBYB/chjHy+8KjiMAz+Z/beybBuavquxVoTENKUKB4t/b1Dr7YaGDDDQBz7QQA4LAaM9Zme4A4B879Jx+zkDOAwjDz8wP8xrgABAABJREFUhg85bDIMjiOa6DBBWzfWOvPwMeS6jYOjcxYH4bz3jzzWqYe/ieBXEf4mH37+uJhz49Tp7TU9eyf4XEzylPkkBzOgh45EalIVaPaEqCHhiKTgaDlnOp0wm8/BwWqz4931PVXTcXl5zovnPnvPjs9bSKTy16uPp/G0RW8KNzwYvGgNQpAkKWmWepAioItSSSaTgmq/P9BylVKoSFGWJXVVM59PA23EL5MceMfiujkwlhB4Ocow+CVIr/n629es1hvKqvLvopAsjk6YHx+HzNASFyRhDoGQEZGK0G2DcPZwSjtr6doGHeiLxhqi4OKZZBmTyYQsTTHW/wwVxcF5Wx6u4YP7ZhjgnPXXmByDM4UjVZDHYPuWtqvo2gYpBbPZhDhNiZI0LMRG1gFIFZEWOcV0TpoXYZEHzlivi3fecEb3LX3XoIeOYeh8nZtNOD3zzAOHI4o9ENG2LfV+jydyWWbzGZPCD4lxHB3eaxfOVWcd1gx+8dS1pEkE04IsTzmtGr5/nbDb7llv9pydnZKkMUVRBGfzMYfUv9i679jvNqxur9mu1/RDz9mZBzcWi7kf6oz5tWtot92ilORouQBnMHrAWo012i9NnfXI8/2KuqqYFFOOT0+ZLxckaYaKIobBS8GcMaRxfFjDSDnWYBdyJt3/uGExSqdI6WmlOG8skxQ5SmXU+wanDaAhkiSqYB5FdH1LlRRYU4FxZOmUJJ0ikAy6ZzAOaQcwHXao6bsaazqEcFinUChUlBNPTz2N1GmMHVCxv/kmUYy0DqF7+moNskdFCVYblDE+PSYSyLggzwoM8HyZYlZbrLLekjy4fQkcsego17dUuuf8k+dcHi0ojGH75op3uy3fvN7welXyz3/7My6nObvOorUhj1NQAum0vzCMoK98Bs+wLfnL//Y/8C/++E8wZiCaZCxncxInkFZge40dWpyCtukwSU6kEgYlkdpTMo9TxXfbLW3bUJkIsTjmyeMXyLZF9wP7fc1WOHqjDze4sRkq9zvqpkVFMdOpz9nSRhNHikkxYWh6Bq19PIfriaQDDHmekSXHFDnc3n6HlJIkTrBO02NJ0iVKCH7+n/+CV3/xn5ifXlA8+hiXL71OKI7AQlvd0fQlSZJgbEG9X/Pdl3/J2QdfcHL8iPLqjniakuVTTK+pdM08n3J2lnCZC8y7ezpd0c9zzj9+zrPLC2YqYRFNWN/e0NuB3g40eiC7uOCnX3zMJJ8QhwbdGcMwdLRNE6h13gW07wwasDjWd3u++NPf44NHMy5VxqZcs6trbvcVcxWhbISLLI8+fsFycUQqIx806wRpltP3PVZb70yqBwyWodc4NIaer75+x+rmlnnIujH1wLfv1jz+g0+wzjA5PiOKcoSVOG1pe01bl+AMm+2GQfd0DEyfLjk5XzCNJ0RJQeQEwgjsoOnrlu3dlu1+R7GQLGJJv68RsYHemzz0VcNmV5IezXD9QDy3XDyfcT67QHUW4STKGH7+F19yd3fNi2cT5v0zfvZnP2Nv8Zs+C0YBFrQWdHX7g0XlH+KRzuZBR/ge+wketunjcOjeo2ONX+/C4GC1v5lZfWhsvItpGCIhRFaMJJqHnwUgnB8OGb/POVQwTnGM+oTwzIQ6NF+RhGmmuFhOeHxUME/ADQ4xaA6OgkqiFAda5+hCSDDJaYeO+9WOsmyZTSdkaYaSsUfERELk5XJEIe7AhCDf/b7k9uaW47ML8qIAHswrxud3QFoDypME0zQhhR9Qkph9VVGVVdD++ccQ+MbNb+4nIbvW+IZoMBhnKeuW7ZgPZQ3Whd9RSOI0Y7pYkuZTrPBGF8KNeV4OKwVODwdqm7MG3XW0VYkxHi3pVZBOSEWcZsRJyAYMgLFFHELIQR7oVzacM0qKA+VPKYgUxFIgjUa3DW1XE2MpphMW8wnTIiVOElQSg5D02mAGg5MWGaekeU6S5h65HJ0q8cZyOB8o33YN+92W1f0dm9UdbdOQpAmLoyWT6QwhhbfcVxFKSt8gxglZlpFmflBUyjeFHi30jZmzBjP0DG1DW+6p9nv6tiOJY5bzGSa46bZ9T9t1aG08QqvGnDQRGhN/PrdNw/39PXf3tzjnePzkgsXiiDTNDoZLRpvQSAtvWX9zT5JkLBdLwNF1PdZquramrvzw6pzzFNM8J8v8Y7lAVTWmZxg6hmGgrjwFLo59HqQK9FijLcPQPzSav2HHZHEMcNA9Af49CfVM4Bcmwo1GGjYs/O3DYDAOjcafcyMd29kH11/hRg2UOyBZI9V1JEkI54IWmzBwjkyMUCPH/E1rcMYv37Is5fhoTp4obN8AA3EqSKREiXHBBJESZHHKbDbxCLWKGHrNar3n3fUdaZrx4csXPHv6iFQRcl4NDofCL3+8eNMvhLvdHhUlZMWU0ck3iqIDtdoe2CD+95lMioA49p5hFXn2wm5fst/vubg8DxmXEmEt2lhvlhXqRqQUsYrQZvDUxbZjW9ZYY32Aevg6hCKfTBFK0XcNvfaJA74E+cWYiyK6pvYGN84FlMnSNA2mqanLEj0MSBX5epCmNLMZs/mCJEkCgumXi1IqhBj8azAOi84PYMZapLVY6187JbyjtXLewVkZTZSmpFkS8jdjfw9SMd74UoTanTNdLCkmc6+NDotTC4efZbXXJeuuQw89xmiSJObo+IjZYk6cJfSd1+h5tM6zD7KiYJrn5EVOEqcBXRs1liKYO4XYoKah3O9omgrrDCiJM8Phfdvtd7x+e8PLDz9gluZEcRLiaHwfYLT3i9isVtzf3jL0HZMi53JxwWQ6DUOw849NeA2NN2Bcr9dkeUYxKXzN0gNa9+iuRw+e/r/f7+m6nuPjYx49fsp0sSSKFP0wsFmt2Ky3KKVoGy/xiCIvD5HC0831MBx6jfftqf7fHT84LE6XS+/M6H8NP9EPA04bJAMkXqMBlkg4GBpvpjCbg1wig8ZCSLw+RAgG12OFpu9rwBLnc7/RUQo1iocRKGlhqJFG0DU9g5DE+QRX3qPLW7TuME7jhPNZeCpCCJ9nMm5+BY6f/OgFv5Uobn52x2K5QAnF0BtcMqAiSx4LXDNw9tFLLs/PkHWDaDV3qw3lpuUv/vYr+igiS2JSqUiko9UDQktyIhCKwcLgBL01PP/wBc3f/4pf/d3XZMWER08uSWczijTD7GuGpuaXb7/l7OIPaZs9LQOL5y/41V/vOXaSQWgG5/Uz12/e8t1335N++pKXH35KZBxuMOy2Oyrh+Of/+p/z53/zC3Zd500b+p7OGPq+B6DvvMOpFIJIKlSWkRRTXNfiTNgxOIu1LdrBUPnID2sgjyb0av/QmAwt1fV3rN9+zZAomuMLehkj3nxPlt8zmZ+QzRdERcZ5/hTV19y9+SVIQT4/4vyjz8iKJW3jw99PF2c0bYdMcooiY8BwUkia67e4bo/JY85Ozzk9O6EgRUqodlsG651ly1VJly64WCwoooTUSFw/4IQJgdOSJEkx9YAT/vzsq57VdkNXNcgnKR89nvMom9GvKk8DGwaiec7xIqfTPcuLMxZpShZnSOspnM5C37c0Q4s0kv16y2A6+nJgdbMjOUv4/Z8+459kH3F9W/Hv/+Nf83//6nu2dcnZF0+RIqZrfPNjWk3dt1T7HWmR0pUVd7e3bMoNyVnB5dNzFpMF8+kcpR2oBGUF3b70yGpVcfXmhm/X7/jJ73zCIssx+47trqarO3Q7UNcV97s9stvw6NkZH50+42h2TOwShIKu0zT7lq6tMFgoE26+f0O+nBLvtqjYU/DaTpPIiKFs2O3L/wEtyT+sQwXTh/EYh7PxGKmjv1ZPDwNkGBjNuF3Vh9y4EXEcmyCFDRpEyUhMfXjY0JhYGxygfYM0FvPQQTHSUP2jWIpIcj4veHo04aTwxg+9BieEH1ak/xhJjyyOOkWpvCZr0IZ3V7d89/07dmXLdDILyJhv8zydRobXROBNMKS/DvcV/XDF2eUTZvMlMpKHAdVa67MJh8GjlJIQ0u0NcQL2AAjvIl2VwehB+OHWBdqugulsErba4ecL6eM/nNeZCSm8ni/oB4UU5EVBMZ35UHr9sLU9QCYhw9LHk3hTnq5rMM6FhiE0u0KgVExaTHET55HRw+7AeWv0kGEqhPKU0DAsWmdxTiKdIwoEO2cNQ9ugqZjEcLKYs1h6JE1JwvDpHft011A1PXE2pcgmAVFMwv1OBPdxj74Y0zN0FbvdlvVqxXp1R1PXSKXIijxYuScYY2nbHmMs8+URk9nMD4lpEqiicbg1+Hu+tPhGq2voqpKm3NOWJV3bgTVkiSJL/PNpmpbVZgvOoo3xmmmtvYwFb6Kgh579bs96vabve6azKadnp0zns3AdesjJXzsBWdKa7WbLarVmMplQ5Bl92zIMPf3gc8mqqkEIyHNvplMUBUnQWRprEcNw0G/Wdc2+LEmSiEmRMgwOJcPvGXRd7n9AA/UP8VBxHBrahyxZf02McQcBWbTh38PnR8SQXxscR9dZ35CPiKOvHH5wG5kZdly0vUfdt2GR5kKIua+fNqCJDotGesIHJphdnR7NuDyekYkB0XVEypLKiAiLcL46xSoiSySTwlMD4zjGGMd6s+fLr75hvSkppjOOlnOKLMHZAYHwRkfGr/UgoDAItDW8u1lxu65IigWLxcwPVrE3t+n6gabp0dqilB9s8smEyWzKZr05IKZCwm5fslptfAatlOF094i8UoqLi3MW8xlla0niGBX5mDZrDd2gscYdkCAhBSqKiJMkDDgu0EHDyy687MHicLr3yKLyQ58T0Pc9gx6CO/yAVIpBemMoGxYA+aRAKe9PolS4npzPmBSMmbjvsW/G5Sr+fhdhkdYhnSVJIpIsI0kTZBQGTxnhhAyoaE+cRiF6YgLS9/Pvs3ec1TjjmQFNVVHt1nRdS9t5fWia+QHQhqGrqRviKGK5XDCZz5jN54eFmAwuux7J9vcAv6/1y/v13S2b1T126DwDIdw7J5OMo6MZd/dr7u5uKcua8/PTQwyF0d4voh161qt71vd3RFHEyempH2Tj+HD/gPH+GnoGo9ntdux2GxaLBUoJ+q5Fa7/gqkL9aqoaFUVcnF/y5PkL5sul95AJ7r+vv/2eb7/9jslkymw2ZzbJKbKM0rZEYdgdtKHrhwNi/0PHD7uhOkUUpThriNTDSS2NYV4kgTvgubkGQz309INEdy0pxmu5nPMf9eDDPF0oIfmMTKVEMkUIQzcYcIJYxWjTYwdNnGao9Ij89AkqsqzefE3fbTEORJT5xgfhB1ZrEK6DrvRTeppy+fiI/93/7I/4D//7/yPL+YQi9ReITAUyhsQZZLUhOyo4m0+Jyoa2rFhVNa/fXvOzL9/wZl+Tnx1RZClOStJUoOLI88yVxGhHZ6DHMT8+QZaG+zdXlKbi21ffM390xuXJKWIwPjj1dsN3373hD/65xTUaG0mOzo6YfT9HqBapLU3pMDJGWcebN9f8iz/5r4gGhxsG+qqitZYnn77k6cvn/B+6FhlFaOtQ+QSahsH4m6YXrlpEFGGM8U5XyQQlJE45hHJ4mbikHzqsdcR4yhdpgqiCHjWEEXVDC0XO8dkjJvkpTd8xJD1GD+y31wxDyXRygs380J7lhadOqZiEiKM8Q5c1XZGRLY8pVIF0YAdHGktWdzX1Uct8NmV2Mef85JxER3RNQ5wrhsE3b0OvuekGnl6cM08LIgemrem6migWuH7AGG8xX2/2qESyuy75m7/8kq/vrlg8X/BPf/sZcy1J8ymbjQ9mrrseNU24eHrB40eXnM7mKO01nH3f4Bx0jad4NbomImJXVnR64OrrG15dvWOpl5w9O6e5ueLp5Tn/mz/9Q/7Nv/59/vPPvuVNt2N1u+Hko+ckMg28/AHrOvbbPUYPdGnP8vKEs7NTFvmSWMZEMkMJ/HvUDvRVSVPXNH1P0xmG2DLJIoQGox31tub++p77Zk3yKOXxT84oJjnHyxPm2RGZKLyltDHoXmB6y9W3b9lsB24w/N3tmuUXl6z/1hdfqzWm1n64lwqhfvMaqF/X1IzGDiP1M3zKjXqa8XhAG8HDRr6Jig/D4pjjNKKMEufvN8Fc4qCPFPIwB7qwNbXG10039PhA8/GmPObAOWLnWBYxF8uCk8LHYzgHTkmEiMjSiCSO/NAoRlad36B32lD3muv7HT/78mveXt2HDaMIVB132KA7Jxj7dhFydNumoywrXNVwc3PNxaNL8kmBEP512G333N3eMCkmFEXmMyCzhMm0IIkSH+gs/MZaW0td1lijSVOvlSHQmSKhmC3moe7KQ5jziBiNrqfO+M3kGH+gogScoO8GhmDeM6KcEHLS7INToBvZGfQBIfAdlwWEHPzwHUdEcXp4232wuQIRMOPArTPj9zq/dFDOx9VobelajU47iqni8mTOydGMNEsOVMmAadN3DeV2Q6chmy7J8jzQtUKI9+E0dOiho2srdrsV292Gsiq9a7GALMtJ8zxQwyxtXXJ7fYNA8PTpE5bLJVEcE8XJgS7qAoVM4LDaZ5yV2zX1bkNb1wFp9I10msTEUUyRF0RRxGw+ZbaYMZ9PSYIGqW1bhrKkrir25Z5yvydNc45PTzg7O6OYFCPYFLKa7eENciECY3Xnh9/Hl+ekSUTXNtR1SVnuaZoWGcXMJ1Pm85mP+Um8bhYEwhisHui7jnK3o6oq+l5TFDnL5cKbmViBHgyD9sOP11/+/7jQ/P/B4cCb0UuP8x1WVuKh2oU5wy+HgheECAOUc+7h2rMWYWVwjvQo5DgMShFq3fs/l4cly2E4dA/Ijw1ZotY5MAahJZgeqyzSWebTjOePTzmZZeiyxbmBTAgS4YiEQzqHRBBJQZokJEmGlBF6sKy3O/7+F1/zzffv6AaDGgb6YfCLBPzztO/VB+fw56Fz7OuBL7/6lq43HJ1cMJvNgi5NYi1c36xYr1acX1wEp2Y8Wp8XJFUDwVzGWkdTN2zXG78ICQXIao0Sgtl0yovnMRfnZ1zfbplNJ0xnM65vrn08WOcb+wONUEii2C+QXKA9ShGyCCSe9h3o1VJGqCgOyKCPITFae4q+te+9Sf480NrQdl0wh4qCAY483BvcyBEIVEYVzpnx/hYJUMISC0MivXdIGqckiQyMA69fJiy8+raj15ZsdkQ2nSHj5OFccS7Q/j0V0wwdbV2yur3h/u4G57zRkDcT8maJuh/Y7/bs9yXLoyOePnvGdDYnipODJl3Kh7NzNI8xWtOUe+5v3nF7fUW13yMFZHnGbD5nMvHvSV5MmE4n7PYPjBjn/KBojUZrw363ZbtZkyQpZ+fnYfD2JmDgAl11XMSEecZYNusNQzewXMxwzlJXe6qyYrvZ0jS+Fy0mBReXjzi/uGA2X6CU9xfQQ38w96prny2bpinz2YzlYkbT9odsT7+8M1jn39sfOn5wWNRN5ekBUmKMpxUY3SMQ9FqTRorB+s1uEikyJcnSlGRxHGyBPaxu+gHrLG1XEcnYb1MCVcvYAesgVhFRmiFwJHHhmxSrwWnc0COM5cmTD+lOn9P1nvaH8ANp37UMXYvD4PB6LZvA/+q/+mM2/+kvcX1DFoaNIclRMiZPE6J+S2M7Pr58iao7qqal2ZS8fn3DX/38Dd/tSqpBI7ShMwrhOU7e5ctC3fYovI19lKZkOH7xl/+Fd5sNjTDkVUuc5WRximhrurphdXvP7apktd4z0ZAUGfN8wgePHrFavcJaTZwk9KHubtZ72rpjlgu6csPd9RV1pFhkKWa/4Ww6Y6c9GvnhH/5Lqus7fvGf/x3aaZSKMIP2gdB6IAohuyrPg1mjYDJfkKYZfdOHIO0W0XeksQ9RFkoiZUyaFti2JY4LBBG1roNJhMJKi3UWbXt6syVtMwSaJMkwxnizDmvom5amrpidXRANDtM1ni9iBa2A02VOMVccHz9hOpmTyxQ9eEt2oWNMo6k2JW9XJfGjR5yenhMR4QaDdYY49i6gQ9vRtC2677l+e40oUt58e81d3HLyo0ecL6ekJiJymvWvvqOpKrRuaKzh7PlTlrM5QlsIlBBtLVY7tNW0fQ8KUpGB8UjLer3DThTnnz/HVC1f/uqaSTTQRmuWeUFsDJ9dTJBvGm7qDS+P/pEPXlcK07W0+5a73T3RUcblh09YTBYkUUoaZ6RJSmSl1zF0FtP29NqjAk3Zc3+/pmXAGc1+taW8r+nsQJd0zM5mvPj4GWfTU1KZkEU5SuYMgwsGOAPdvme33/Lk42PSpWOZR3yiPkZvB6I3W94JEDby+WuDpmprLj+Y/WBR+Yd9hE1fmBbfHw29WB0CZ8qjXmIkWPmBUTnlC3+kDnpGY/RhYy4xo2IHIUWgOo3OcX549BvOoE3oO6zwocRipMSOmjsBhbCcTFOO89gbO+BNDaJIETlHliYkSYRSDhEan0FbqqZjs6+42ez59tUV3765pe0NRZYQB3qiCw1lAHpwFj8EWUddNawCbRUp2W62tE1DmmVIBEPfc319zevvXzGdTDk5PSLPvHHCbDpF4J2GlVIe4XSCqukYjCMyY6MZKDNSUUwK4shTdpRUpEmKlJKqalCix4aGUwQ3VoFEhaBja0an1wcTDiHGkIDgvBpc/HysiP+ck/JAhfNNgMYMQ8gT9tpFYS1CKKSKDmY8zhpvuKaiQKUFYX1DpJ3GuJ60EBwtJp5OVyQHMwQfiC5o6o77uzWbXcn85JLJ4pg4L7yHAOKwuXfO0NYV292a/X5H29YMugdnUZHyOsnY59cK4bMhb25WvH13zdHxMRcX56RJgooT30QFF0B/nuOzxfZbtut7qt2Orq4wekAxxsaMhgnSo55RxHQ2ZbaYc3F+xmQ+QyVJGL4NWnsznOXxMaenZ8znc+Ik/n8xWHCjFtj43LT1esu7q2ucNSwXcxBQV979r65r0ixjsViwXMwp8tRnJIamGAhRLgO77ZbddofWAyIgBKenC3bbiKpsgsbHn0tKeN3tb9rhjPELEBMa8dGa6kBJBRkWH4GZd6DojV8gxj9IiQpLDl+fhEcJD4s2G77+vff3sF9zWKUAv7iURnk3zcije9ZarBxwg78Go0Tw6PyYxydzlOlonDf8UMLrTse4BikgjpSPuZGSuukoq5pvvnvFd9+/8TIkqajrlqpu0FoTh0knlHbvhOn80rAfDJtdyWZXUZY1u13JgbbooGxqfvn1t2zXGx4/eUySJMSRB1eSJCHLU4auG0koDFqz2W7puxa/E/P1Pkm8JlA7SVHkwRVacnFxTpzEbHd79mUdlpZhaBch+zWKGM3snH/xD/cwwvUcx5HPiA1mXkqNw3/QxIfsXhVFgS3haf/DEJAnq8P76DXaB8frUcs80nAZl5Jen59HMC8iprnzWu1IBGTbnx/W+sXjfleSTmbkk7nPKFQxOOep731H3zWYoE3sqj3b1T2r+zvatvVOzEIcYkyc83KxpvamaM+fPOXs8pIo9ajjOGyPvB431pqmYbtZs1uvqPZbnBlIY0XXdWxWG/pec3x6ytHxkg9eLFgul7x9e8V8Vvh7psO7MQ/eabauKvJiwsnpKdPpjLF0j7//wcwp9BPOWqqq5u7uDmMtWZb7jNz1is12g9bWRwmdnHJ2fs5yuSROUo/2GoM1A33T0JQVOEcSxVjj6Lue6aTgyeMLyrJGG89i8m75NlzKP0y5/8Fhsa83OCROigO9SmLJ0gjlQBsBTmKtYHAKYySOHtMNZElMMSlYTGboTND2LbH0T166nr7tsHZgQDME5zRlBl9wbIwTwgvRXdCZuAg3gHOGSFgi5wOBnXCIOEIRYY2Hx2Wi+PTFGedK8f3f/Jxs6vUdOqzGIyAVgkkKTz7+EDlAUzXUuz1vvr/iZ9+8xR3P+L1PLvj659/wdnC8vlnzwaNzksjbk3e95y2jfA6d05pXP/+Kq8095dBR24EzJ5nNFt5ifPDZU1c39+x2NXebLUQxxSQmVs4bknSAE2RpHLYyMJ0USOvo64pqt6XEcPH0BYWMuNuW1FWPjRz90LN795ZYZCRJ4Q2GtG9QjfNi7FxIVDbxxAABTms211dE+EDjOIlxukW3tX+fsxykZGgqdve3OGtQKsYZi4yld47CO9FJOxBjiUJmoBQRUiiPvuKQRU6sUhpZkoiIvqy9oFlIFILlImOeaorMu9tK4+ibCt33GDMgyp5yu+VutWMjFZ9++CHTKEc5g3Xau/91PW1dU6337JoSIQSrsiYrYqbPjvmdk2ecFHPMekviSkQHbd3Q9i3rdcV2sFycejfVWHljDxMyhYzWGD0gjKW8K6n7mrbuuK8qRBFz8uSEZ48u+f4/veLf/bt/z9MXc5pffsenHz9nmkRMl3NOJhnFkwVJlCGEwHQ95a6kVZbZk2PmJ3POlucU8QRhfSNK79Dah836TLcO3RuGTtO3Pe3Q0Q01ujd0tmVbrxFHCc9fPiVLY46Wl+Si8IYjTtE3PdqC6TV9NbBZbbG0PJ3H9LojMYKrb674u1+94V1VIhczhmrAOU9XtBjSaf6DReUf5DHSZwLy9v/xECIgjr/2j4dGyN8E5EMzb10IF/YUVeHMg2HNaDEeDEoeULwHYwgXBXOHQCdyzqOgQkkiAdNYsCgS8kgiw3VgA/ImD45nEiG8FkcbS9P2bHcV+6qh64YQ0usbvTiOPR1SjTRUwgZ83Jr6DLv7lb8Wq3YgiSPatqPvex9LIARt23N3e8/t7T2r1RqtTdAsphTTCbr3Wm8ZhlFtLJudj3dIXXTIHyPEMfkYhxQpJEkcMSkKhJBE0e4hikGM+ABhayy9Tg0bgqTfR2ZH5MQRqYgojg8GB/FoxhIGd+08UhhF0aFJw/n4BS938LpFGdwMvaW+IbIGrF+G+dbZ4GxPmjiWk5T5NCOOfU5YaKfBCLabHd+/est2XzE7PmVxduEpsH7F5M81ZxmGjt12zf39LWVVYvHxFXEcFrIIsJY49m6mzsF2u+Obb1+z3dV89MnnTGdzjwIFlMmb0vkGU/ct5W7NbnOP7nsiJVFFgTN+aO6bztfPtvWmb2n6cC7jG90RsTTOkJKhIsVJFJMXBXmeH+jKY18LnjLqKWQd+/2e9XbPm3fXvH13hbGQFwVGa/quw2hDkeccHR8zXyy8Lkf5hnF0IrTBFbMqK1b3G5qmIY6Ud0NNI5aLKSoYKJVV62u+dcRChMiD36zDhCUo7j1jmvEQMLrCjjmuBwTGzz+BFTGaa40LLD9geeo9QDDmcqMOfBxEx2sh/DghDs2zdBKIQFikDJRAHMbFOGuYZilnx0vyWDJ0PcIaBN5Rd2RN+OXMuPyRdP3A3d2a69t79lXF0dERg4bVpvTmTiFWQBx+91Ab8JR2A7RNz83tmqpp6Y3xrAXp5VfWWfb7kndX1+x3JevNjiePLiA8DxmyX42SwaTJx2KVVUVTNyjlF3ASDjT7QQ+HIW2/3zP0PScnxxR5gWB1iHMZ34soGKrYkYY6UoSFf38CAc8vdZLYX5NhUSeEN94ZHyOKQmauipBqRP9EoH8Gc7DRXC2Y0dgwbPh7FwGrdghryWI4nsYcTRRF4lAifK1zIb5I03ea6+s72sHy4vwJxWyBilIQ0jMSe5/lWO03tHVJ25R0dY3RmsliweLkBCHGFAR70L92bcduv8c5wdHxCXGaIpU8nHMH6rM1tE3NbrNht93Qtw2R8lmZSh2hB816teGrr77ml9+8pphOefrsCS+ePyXPUs5OT8gnE0RgMYyD4qA1k9mM5dEReT4J5jnjUiWs2R4Kn9ebtx1X17e8eXONlMIvOsMCK0lSzi6OOD+7YHF0TJ7njI7Cxmj0MDB0HpAp9zuGwSOI3vBsoCgmPH1y6Rdv1/cMejjEn8SxIk5+uNb98GclGNPjrN94WwuDNQzOIp2nVEVRgrYOEyXgDFJG9G5gsIq2r5nkE/JsQqogyie4QMMyJgeVEFuLGFpEpLCDJVHCFzMlPT1J+y2vtQ5tO19mnLe/7bQOBUIgVESkBML6rcWyKLj77ju0tP7rrfaZV8b6zfFQI2eSuVKYcsd+veXq6o7vq4ajzz/gdz56xvqrX9FuGtyjCVZJ4ixlEkU+rDhNSGLfsEmUz2dcr6mGjqEfcMKRzadkSYLpWrqmZnW9onbCh5zWDeYsJZ9k6K4GJegtaG1JpSTNIgSWrmmpdhsQll1TcvbiBUfFBL0rqUpPSbXOF/P2/hVHz1+i0gh0QtNXBzqVCltuBuMHahXjtMXb0lcY2/rtnLM+biIWTGcLrJCoNCVKIiAGY4iTCJVEfnurFEo46FtsW/uCgreIlqGYOK3R2w1VaonS1GsClMJGymdROkccSZKiIJ8oj4Jog+5q2n1DO3SYpmOzqrgqa+b/6EecHp96LYPtcdpTQ4emodztubm65rpcE+cJ8VFGNk0oigkniyVuP1BahzKW/WpD05TUdcurNxveRgnnsW9IsyhFYum7ATtA17ZYZ9jfbXn75ob4YkLZlajjhM8//YTExihtyXNJ5yz/zb/7c7bbLb97v+OLDy942jXYfkCVOdWuQunMu2JmcHx0xnySkyY5eVSQyARrNEM30FkfWdP3LX3boPuepum5ebvm21e37HSDFB23t7fkp6csnh4xO1lyNFmSyIhJPEeZcUNn6PvBU62anv2mYrfd8Rf/4a9ooh41j/jtn37I00+fYouU87Lh9es166am6zu6QeOUY7IsfrBs/EM8jDGHpscf48Am3+skxmbnPcwxrJffz2Acmw2c83Rvq3DKHuy+OWgQCR2OCjfhQB+y9vBEREARZbipSMaoFUmuYJFHTNPIxxQNGmENWoC2GhE7LN44wDgTqDF+6xmnMWfFhNPLCCdi9rVmX7YkcUqWZh71dOON3T9V6zxdqqpb7lZbtruKrh8OsRNj4y8DCrffl/Rd759X2HpLKUmSBDsEmm6ghuqwbW+6nqlLfbwBHgGQwhv05FlKrJQ3fojUwWl7NOtRYoxxemgWrTUeSRibHR7MNlzYLEcqCgOVzwmMQ8MkAnoY+7aCKE6J4wQbBpDRuFaEZduheTIGn4Rt/ceQN6dwFBGczRLO5ilZLHBuwBg/aGrtuL/b8Isvf8WbtzecXj7i+fkl+WyBlZ5aJZ1/n5u64u72htXqFq0HkiyhyDKiOAqNrkFJTweWoeGvmpZXr9/x7vqO6WzO+eUTlIrDRlofkFnnHF3bsF3dUZdbYqWYTAqiYJNvh562qhnanrquub/b+BDv4MwqI8WmrHDKm55N5365kWQpk3hGnCT+scJyRI7X1Eg3s5au61itVqxWK9abPW/evOP+fs1sNmM68WZHaZpxeurR6mLiQ7rVIcf5vWvQGrquY7vZBPdWcUAcpZBkWYo1jt12D+NiAZAqIU1+8wxuxjgJbGjrnTs0nf5sHqMVxKH0OefTzXivzo3II/h/lziclVjnzzusX7i6937WwfxqnF5C0y5GNIwwjAZjKJzBBufm2WzCbJp7ZFQPYIaD27CEgzZbKa9hbvue7W7Pu6sbrHM8f/aUKE4p67+j7fuDWUskvfmXEN5/WQh7cPXses39Zs/VzT3bXUWWZcxmU6JI+T4voKLDoOm6Dq211/cJgcH/fiIM2zIsL4SAvuuom5ok8Zo5GcX+e6yjbbugCbRUdcVqveLRkyekee4jROyDLlwEcy3PYDHe6HAcFnEQMsqNtZ5dFtyax49jXJCU0cHJWUWjnk95o5xw77GDvy/590c+6NqdC8N6sC/ycCMqshwVMRfLhFmO9yFxkX9PjWboB5qq43615u5uw/HlUxbH50RpAVJ5Zo0e6Lua3XbFdnVLU5XgLFEcMz86IisKP4wbTVtXtPUerXuGrufq+o5Xb65Jsilxmvr7qxsjrcBaH+1Xbjfc3d5Q7vfEScJiOX/IlXV+OSpUzOzqjl9985pvX73j6uaO9XrL+dkxSZoSZ4UHR6RCKUiznCKOybMHky3wy0kX+goRrge/gLR0Xc/9asP337/l+uae+XyKdYJiMkYPRUxnc7I8J4mTA6vJGoMZBoauo21qyv2ecl8ydMOIW3rqrhmYziZcXJ5xc7+mqruQQqGI4pQsy36wbvzgsBjnS78dRXvdm3boYSCKYuzQUTclyIw4jZFSemciLE5G4BROKkzbs2070igiVWCUZJJmTGenGPxgNwyepmq0wZoe3TVgDbH0DnLaSqToSPB8XOcUURIhpAlNkCMJ9rix8Bsz4SJef/MG0bdEDnwb5oejSMDQbDn/6Bnt6h7Td3z7+g17LD/+43/BsYoo1u/481+85UYIPjpdcnK0IFXCK/xib/1+NM8Z6pauHSg3a3blnk77QdHiOLo8I1URbdmwvl+xajte/uPf4i+//orVbs+Hn77k+OiM9nqFaQfSRKEHQe/wr5dT7NZrrq6vUKbn+RefczRdQl3T1TXbqsakPnoiUYosTfj05XO69Ypf/uqXnvY2nqRKIp2lXb+jmEyQaoEzHUNbAb3PvRxvHlIQ5TlOxwgEKknI85SsyBmahsH4gO9UBbthLEYotFJYpzFDi7Ze4yOEBG0p13ckT+dExiKUIJvPUSpBWksaOx6dKk6PU+bTHFdu6cuKoa7Y3t7TDJpf/OxrrrsO9eIRf/LoEZEWDNZHtvTdgLGaYVtzd33HVtfMn55y+eSCPM3IRILuNK7V1Ns9Q9Oid1v2W29hfLfa8+16h/zwCdPZFIW/EQhnqXc76qqhaVucM6xu11x3Gz5YHPHxy0/I4oxUKOgszXrHdK74r//NP+Pjn5/x53/7NVf7kt+7+An19ZZvfvWG4nPD2aef0ZqO5XLOUb4kz3NSFSOsNw0xssdah0GgjW+8B+03ZXVV0TU9795u+C9f/oqGkvMPJ8yOp8wvT1jOFhxNj0hdQrtv6PcdcSwQ1qG7jqHvaJuBum1IpjG7X5RMnp4zzQ2xlHz7t6+5Fg5hYXl+ynateXe3oTY9vdMkWUQ6/eGi8g/xeKBNvTekjWhVGBLle1S58f/HJstHDDz8975Wxz9+0PFgEc4ctr8WcRh6wN9MTLj5HvwlwjBEoCV52r9kligWhSJVXp9huhbhLEYIetPjNHR97GNuGcAOOGtJkpgi9YHuqIRd2fH1q2u6Xh+oojKgV++nklvr6AfNdl+x3VVUjdc55zkUhc+ZGrPEEMLHhyC83j007SMlylq/OR+0b3AGY9luS6qqYTnPEJiwvVeo2BEpxTQYVcRxFLapXlc2vt7BtxuBDI2QOiyvwrtw+DgihCONK01TnycYx56+qcZIinAOSEkcp14frg0wapDEe9v2gGY5e0CQR7dHiSSPJWfzlKcnGUeFJHIDwvqht216rt7d8ouvvuXm6pb50TFPX75keXqGiOJAi/ONS1NVXF+/4/7uLpj/zJhMcm/UMFICw0dvkOSdFlf3G96+fYeUghcvnnNyeuwbVSmCLnDwGWTlnvXdLXVVMpnkHC0XZFl6GD5tnyAcdHVDmqZEScxgLb3WDKbzrqh1A1FENi18TNB06sOqw/syLmKkED7LMGiScN504+7ujuurK8qqYrur2Wx2GOM4Pj7m+OiILI9J88xvxKPR7IeDHbxw7nDN9X1Htd9TljsEjiiSD1olIVCRJM1Sn7kYGm8pBHHk76m/aYcanXtVQNn9ROM/OS7fQ97kAW2TIxof6qAcUe6wQJNjW+qHvlGP5wLaY413yhzRr7Hi+WWROCzfRnr4uMxxgXkRJymz2ZQkUuihRQ998Kl40FxGUhApgZQwDIa+rtnv9mRZwsnZGecXF2x2Net9Sd10HB1PfK2TAZkcdVwWLN51uapbru/WXN2u2e5rZvM5s9n08Fo6h2dL5Dnlfu+jd6Tw1PrO98teEzguFP056p0th5BVGCHE6IRpMcPAYjoliRXOOZrOa8ONs0ghsdIdDGf8f94cRmsddOXm8Nyc0whpIcS0qcCcUMHFdTTTGlF0FcVEURIieeSBWWJCvXYBiRrPCQIYcYiUGq8/YZmmkifHBccTSaSGcE/wNP2matmsNqxWW/ZVTTZd8OTFS6ZHxweTFt13dM2e1e0Nq7sr+rYhiSOm02Uw5coRUmJCvMV4T2jrhu1qw6vvXnN3t+L5h8dkeX5AHI32UTtNXbFf37Ndr9DDwHy55OT01McthSgLPXg2WV7kfPjxS6yUvHr9jrb1dNWurX2Pq2JOzi99bFKahYzaJLBn5MNr9XAL8nVaen+Cum5Yr9dcXd9wc3tH07ZcPrrk9Pyc49NjhCQ4msvDvWt0XDdWH2Jdhn6g73ratjvQh8dSN2hNksHyaMl0WrAvG4yxRLEiy3Jm8x+WF/3gsOicwUqIpTe5ydMcl+TeYjhNmRwd44BISiIZETkfyCuUojfGv2AIjLMINMJYlBRoLUgimKR+G+1UhDaGXhq0SEnzSQgK7pHWgowQYoJwllhrrwFyPpdOYEAEh69wQ5VWsxSCePCb7yiKiIEBfyEnUrM4Lojaknq3Zb3aso+mfPyPP+ezx+c037/m6t09f/vqjrhI+PGPPmJZ5N6aOY45mc+xpiO20BKz265ZbUt2VUuSxXRNi84Sjo/mSGu8rXfTEp1O+Wh6TNJ1iCTl/OSMSDuEsazXK1RkvN5H+3gN7QY21zfs2pbnH77g7PiUxBjq1g8vsyfn/Jv/5f+cf/ff/Q3vrt6y3+75v/2f/y8YMzzoEBjpbr6R0gKapqUwCt3WOGGJVeTNF4zBSoFSAqEFGn9yx0nCbO6NcegETkTYYcDJGpEXXqsiLNa0OO2LoRMOpAp0Nm+/PskS7M4XSRxExrBYZPyjT6Z8cmI4TgSqaRnqhvpuxd31FVerO9Zly9/cXPHjf/lPWR4fM0kynPZOV852aGOoV2vevHtHP42Zni65vLzgyflTYhvRliVlsMMf+o6+2tHutpTVnqGz/JdffM9wMedf/Yvf5sXRGdEgaKs9+6qkbDZYYH29plKGsw8u+SK+5OjslOVkTupSyvWWar9nu92hy2uevDjjcvIJf/w7n/B2U1E1mtXQ8fWXVyyfLfmjScaiWDCbTilUTBIlCCcR1jFojRF+U2rNwNAb6rpB9w1937O/rbjdbLjbrdg2O0oqfv8nP+GzTz5hRkaRzcjVFNk7VOSDQrTpMU3P0FZoC13bIYSmrw0OxenxjEhZIgkmzymrhtfvrni6mDOZe4G00d4o6eTRksvTkx8sKv8gDzka3DxQkcJfGWmLMtBvxn8/bNdDo+EjG7yT4DjAHDauPj+B0YyUkMFoLAdqkg2W9HrwNS6SEi0FVgc9wojMqYhZKjnOFbMUYnr6oaNrWpR0WCnpdY8w0LY9Qw5SGpSzpGnit7FJiopTOu3ohgGtDVIKsjQhTxPf9BDIk2FbrbX22pJ9TVW1PjjagVIRs9mMNMu8nED5EOhIST+YZjmRUmGA9r/noAcQ3uJ7MMYb3LTtA5XVagh6JoL+8OhoSZFnJEnq0fZhOMSCDMNDsymkIBpzuQJ1ajzE/9N/hGgOP8hEh+aJkcZJaIyl8s8nGAsh/I1eePcbECFsXngqkt9NOpD+fVYSpmnE+TziYh6Tqw7nDP3gqJuKV6+v+e67t7Sd4cXHH/Piw5ecPnqCiiOssz5P2ArauuLm5prNekWSREznc/KiCI5+nhY38qlFeD20dZT7kqvrG/qu48njSz768DnTiTcdcsbQ9B1NXbPbblnd3dC1NcdHR5wcHzObL0ni+KDb1EgiPZDPppwYRzGdQWgs66Zju91R1jVShsy6KD7Y5ItAFT4sYuCgs7LW1+c3b97y7t0btPaZmdZB1/fEcczTJ4+Yz2dEkUAocdBljqgxYXgYnYgHbairinK/Rw89UeQNJUYqmr+mBHEckeWZzwEVgiSOKIqMYvqbx6KQcdCIhr+P+5CDFta5UOvG+vZwLjEO5GFB8v4CjXAthgfzumMedMLWecTbBNdUEyiAB+doo32OnPXngmdve2pmkShmsxlCeB0yxh6eq7AGKRyR8vWl7wbKssaYgUmR+8y9o2OciLj9+g03txuckMymEyZFfqgZ40fvkgxdr9nta67v1qz3Fd2gSbOUSfFwTjjnKPKMy4szyt3OU9jx55axlq4f6PrOMxsYBwTJEAZIXyuDSaQ29F1PJByff/KS12+uuNt4Oc3d/T37XenvM/h+N4oipIhQQnHIOQyvvXvvdXchdsKF7FHPolAHBFQEFp9SkdcrRuowLEIw3dLC34sOo7kEJwJ5wuCUDW+HPx/yWHKxzDlfROSRpwu7cA7UZcPVm2tWN3do65gsljx++SEnjy5xQmJClmC5XXH19hWb1T1KSo5Pz1guj0gzn37gGYrhnDHaZ+JqTV1WrO5X1HXNbDrhxYvnzBdzr0u0hr6p2O92bNcb2roiSxMePXnC8vjEO/8LvzwbbIfRPjvcGMNiOee3f/oTPv38E7bbLeW+5P72jlev31Islnz2I4iT/JAlfFgsHy40h3DBGEr4hZYxlrKsuL56x/3dPff3K+qmIYoUL1++4OLygjgel2seRXTYQ7STs84v+YbwX8jkHAbPSPOLOb/YGfqBvu+ZFDknx8fc3K69dlFK8iJnMV/8YN34wWGxSFNUktJZS2+sv0kwIJxi2OyJi4QoSejbltZaTw2yhiRLD4GdA44kSQC/LZCRRFuJGxxdt0clEbM0R6iINC1IrDciGCyY1KCdoRipXkZjLfSjXfPQoZw9mBfEymLQ/PTDp8xvfwmmQwhJokA7iTEW5XwGX5zG1Os7XN1yX2746f/kT/nw4hH9/WuqzT3fvbvjq7sdTz96wdOLR8RO0nUDkVRgNRGCRjv2Zcv1zS1122JNT7VvqNoWlSrOT46wfU/bNnTO8NmPv6B6u+Li/BFRrHBWUzcNfdNQViWLs4IkBt0MDJ13hN3c3eOimI+efQBVRdPWrK5u+frtOx5/8Qn/7Pd/m7//+ZrvX78DN9AFfeLQDyR5Fix6HVY40iQnizJiqdDCQhqRaocdBnA2bJnjsC3svcbTWTqjWa3XSAdSRAgVh22ut4Q3Q+/LR5TghN/a+Bu91wM5KRmc4ebdW4a65Sh/ztRqbOzRQVM6klmEVB2m6hF1z/bultv7G9ZGM//8Ef/qj/4Rf/LP/xd8/dWXxCKiK2u6pkTrhqEdeP3qNXYe89EXH3FcTIlFTGIjdDngBhDG0Gy2tGVFWzXsqh3awPX1jvTTC/74n/02x8UUWsPOrLFDj2lamt2eXdOiJ4qzZxd88sEnuNrrr5SWDL3xBjCDYPV6TZzAf/mPf87Tlx/i+pYnx3OyywTz8oLiVPHf3V+jraaYTElIQl6QBTOMhH9M7wPAjbYMdUVfl5i+4+0vrrlZ73AZWGlQqeT82QU/+dEXnE/PyF2CFArXaZqmA2XBSbQx4HqEqLF4N9NYxKyudgxmj4x9LpJxCoEgIWI5mwGaZ5fn/Pyvfk4TbMtnk4zT7DdPsygxwTFOHjboY9Pz0Cx51MwPGeLwneOwKIJZzQPlyBt/+O2ipzkp6TfgQgQUU3jSl29c/fbdm7J42pAeeobB02qM0Z5+pxSzRDLPBEVsiIeB3hmc8bmKCsBqr1UeBoxWiASSOKYocrJJjhURnba8u17xzbevKKsSpSKmk5wsTcJw51ECG9gaetDUdct2X1G3XvsqcMRJwjygT0J5k4Q0TVguFthhYDYtUFL4TajxcSBGG8DXCa+36NGROmy/39d9WmtRUvLo8oIi6NwG7alfI+V0rHMeVVNBk/OeOYl7oDuOg6IMKEgUxSRJilLhXwONygkLSKQbRy9G4CQghoQtus9Qi2LfaI1o9Di8SOdIhWOeCk6nEZPYoKRFW0ddNrx+fcW3375GRSmffPEJLz/6kLQosFJ5czJTe1+AYaDc72jbluXREZPplCiOAl4aoiZMsJk3NkRktOy3Jdc3d+x2e05Pz/j88884Pz/3tLdhoGkattutlzW0DUpKnj17xtn5BdP53DukBuMegfTnlAVtBSJOmB0XTGcziukEcGzWG27v78mKgsXJMVk+QUZJGKgfEGAXgqVd0ITWVcW7t294/eoVOJhMp0ip2JVemzidFjx9+pi8yPxLrAIG5aw3I3I2GB0F/c7Q03U9dVl65AGPqpmgy7TBAZegz0tDuHoU1SRJRJFnTPLfvFp3qGVjzYID+mCdHUf5A6tBjUP9e4s0z/Z+QBgReOO/gJKBIFYe6RsXAw+a7ICMvBe7YawPHTdGhyzVIUQIaSSOeR4zKzKk6yFQUJW1qJEs61ww4PIU6qZpWCxmXD664OT0BCEjrm7W/OKrrynLmiLLOF7OmeRpWOYFsxfrF2DaWOqmY7XZsa9aBuOf62RS+AWC8I0+QpBlKU+fPuL25po09dESI9Knw/Xld4XykEfZdZ03EBMqmKvgzZUGTRxHfPjyBb91t+Hr19fcbfbc3q3pB+1jc4Q4UEil8KirFNIjfIc356FmjeVICkEUR75Oj+/HAeV1COFQ7yHyHrUdT5pRiuYOFFcXzgkX+vNxYaOkN7Q5X6RMIgduCAsCTbnb8fb719y8uyKOIk4vLjl/8oyjR48RKqYfOkxdsbq74d3rV7RNzWI+5/zRI46Oj0nSzBuF6QFnBqy2/rwZ/H9956nx2lrmizlHZ+d89MkHZHnq9a+6o9xv2axXDINmeXzC+eUli6MjpIyxuMO9V0if0VhWFVVVE8cJk+mUxdxHruh+4Hoxp2pakiQhzzLSQHcdr6v3X3/GAd6BcAJjNdvtljevX7PdbNDGHLhNZ2dnfPTRS5LEZx07RgTXo4mHxVh4LcZ6p98bFEdZhbWOth8OBnLL5TFHx0fkRU4/lN4HIEnJ8/8RNNTbL/8jk2JKlk8o4gmohNpZEIpslpOoCK17iiSm09pr56IM0xuSSGJcj3OWpm09NzyJkc4XYZVJEDmJUoFeM1BXe5SSTNKENJLBqFlhnEQ7z7UfBk2G14z0kcJYQ6IUg7Y41zNPYKYcRdfQRhBnEW4IAcxJAjLCtDVSKIa2Z2MNL3/3p5yoiu76K9r7Ndff3/BXf/+a3WD44ukFl8sJk1h5qqMZiHpJpy1CW9x+T7nb0bQtQ6/Ztx3GCU7PFpwdHbNf7dnsSihS8iiidpYkj5nMMo+6tgPvvrui7AeObEwkLZFtGZzGSMmrL7/neHGC3tfoumS/WfNmc8+z3/qMRydn/OLbe5xVnJw/5+2rv0XJiDHY0xp/YsZxTB4CqotJxDRzxFkKckq1vsfRY9EY5zdKcRxjO4FxhgNDxfotrBGaWEpQITpFSKJYeTqVNSEDp8fo3qsJQp5bMb9gsTiHZU8xO0I4QSxjzpcFz57Pie2W/bfvGKo91+/estqVlK4je37OR598wlJEvP2rP2N29pgIRTtU7PcbyrpiO9Q8+umHLKczFtMFkygFbeirir7v6PvWaz+bhq6pacs9TdNxf7/lre743d/7x3y0OKGzCVEqEB2Uu5L1bovDwFHKy49eMJvMKOIpIpNoO2CHISB+Fc70vP36Lf/t3/4NWWJ59GbHR6dL5vdrTk9OmGYxv/vZMz6KPyItZmRJQkoS4hFCYbYGYxzOanRww7TdQHW35/52w9tqQ/HhlNwo6l3N0dkJP/7Dj3m6PCNPptBonPTUMyscGBi0z5mMASdi4ixl6BzrN2vubtZYaYikwBnQJgRu72veXV/z0z/6lOXbgWmccbXdIouI+WxKnv3mbdt1uUFGUciZ85vBUS/nt84j7SrQ9sIW1ZsI+FB05wIa5Q64Fc44FBDUXoxUrdFQ5OCEKsNgaV2IvDE4F+NMghn8MGWGAeUsWSSYxZIihkR0SAORcChpvRZMwSBCzlkYZJNYkWURaRoRSdDOslnv+MUvvuHV6yvabmA5z5lNJyRxjHBBX+NAWocwAt1pqrKhKhv6YTjYf+eTgsVyGYKVfVMUqYjZdILuWoos8zTo3uvtPOow5lF54yZtTEDFvDO2CKZqwTsBIQWL5YIiT2l6R99rBm1wCKRQXg9D2NyHYGkpokBpk4fQ40MDNdJ+8QYPKhrDkf0QMRJaCUO9ENZTOqVvsPzrg2/MHCgZEccZUZITRQljDqQQILQhE5KjXLHIBYn0mvuq6bi/23BzsyLPc168fMnls6eoLA4L0QFje7Txm+TBGJyE49MTismEKIoOZjrGav+7hG7cCsPQG1b3G25u7qiqmvliwfMXL3j05AlJkmGto2sadpsNZVmhlOTi7Jyj4/8Hd//ZJFmSpWlij+rlxs1p0MyILN5kerpnFrNDd1dmAXzAr8U/AESwkF2ZxYL0kO6qzqrMyGDOzI1cu0wZPhy95lE9mByIzH7YqpsSGR7hHubml6ie856XrFgsV6TR3VTuIYW3GosYIv3w6Y7vfveOx+0B6wOr1Yrrq4toFuPJqorVxQWz5RKdZaJ9ilMJRUCiWITKa43hsNvz4cN77u5u0UnCarViNp1iXSC525AkimfPLrm6PBdXXA2j8YY0OHLtvZMi3fQ9XdfRdh1d2+K9EwB7BGbC6EIpweYq0WR5LkHd+YE0Taiqgsnkj2+tazY36FSA/iRSEUN0JZYnQyz9Q1zLHFG/HUTz5ccxY3SsTU7rI+DdCXCTwZaOf45fo58At6BgNJEKQRpGATksLrrlB+9IcExzTZmB6luwBh3NDxPlUdFn4Vh7FA5FYL2a8+LlNRdnKxKl2GwP/M3ffsvvvnuP94HVcs715RlFnkUa6AgMBpyXmKjdoWFftwzGnabfq9WSJElE+x/Zc5mC87Mz1ssFWRbrL2Pouo6+73HG4pVImI0RqvfQD1GWoKL8SqQJWZaQBKGyD8acJpxN3xOUJi9KiUhQopNOs4y0KEE/mYKN2bgoWcO1itR/rUmTTDIZIyXSOqHyqtFFNTI5FAqSJC5vo8FNBFgEKZBkgJFtIwgaSgWKXLOa5cwrRaoHvDd0Q8vh8ZHPHz5yeNwyn0149vIlF8+fk0+XZEUu0ra96AcPux1plvL127ecX1ySl5XoukM0rIpZhrbvGPqWvmuoD3s2D/c0bUs1nXLxfMH51TXVtMKYPrqj1hyPNWmSsj475+z8iunsCRBLCVglTJckSUFp9see3/zdOx4ed5TllPOzFVcXa87XC6rZnJ/9/GecXT6jnE5OIAxxWDYyleSINUAIGDuw3275+P499aFmEtkh9UEmnW++fsXF+VruZ6XxVpxOvTOnhjOMOlVn6fuO9tjQNC3DYETjXxUQoOl6mrZnf6hxAdbn55ydrVgsZtR1gyKQJP95M68f/exRaVrr4NgwDFu8jc5qSolNbQJJXjApC7KiRKucwJQsSTGmlxtWJ6df3gdIAvu6JolucYPyMkZWiqQowSVYvGy4SUpAkaiELJXFpYs3bIxeRemEZTUh1wqvHM9XGWt3h+k7bDdgg8SrjrbdiwK6/RZjxKDl6598xcvZAtc0HOqeh8+P/C///nv+H99/gjTjxfMrqiwTy3sNaZYyRATFNEfutht6JMS57x2DEXrFT3/2U3xvccYSipTL60syYJJJHtU8rwhtR1/XbKxFr5YYC4fOMfSWQ9MSEs3lm+eUVc5wrDk+3PN43HPx5iuuzy/xhyPbzxsJalWBajbHDT0BzWQ6w3j3dPPqFBcg6AKlC3Aa09XgDV4J/RUd3bu0JskSoESpMWw8Thh0IKRpFGULZQcfnReDxgweMzhC0GSJxpmAzgqm0wn9fktepCjnyFKNSjxVGZjTkzYtbd9z2D/SuBYzT7n8+iWvXr/gxeUzcp9x/+kjdjB03Y5+GKiHgbAo+cVX3/D8/Apf9ygPoe0FpXMOOxhsP9A2jdCD7UDdtNze73gsPP/8//DPeJnk2EML04ph39O3R45tw5AnXH/9gtVsxbxckOcFWRCzkGAdwQRs18vGoRQhz/jdp08cE4/68JG3z865Opvzy5+8YD1NuXr5nNmbl1zN1ignuggiLQcvdDzvpICx/cDQdjze7fj8uGWXdLz4i1e8vr6Anae/Ney152q1otIZidOoNMV0fdTchBMtQWnFcT+IZTIdIeTcPGwYEoNWqdA3+oGuPfKw27M/HFCXU4oeAoZnL874/vGe6XpClRcQ/vjs5HeffofSKUmWCTqepOgki42j/DoJ/yNVUanRYEDWN0V0WtMK/wUFxVoVNY1gFF/YvH+54Y6ZT09UsNGCHiUGBCqTvL40gTRRJEroPXyhkSOMFCgn+kilSNOELNPkeXrSd3W94eOnG9798JG66VBaQLz5dEKeJk+0s1hUO+dou4H62NK2HYOVKII0VayWSybTCYy4aJzGpmlCEc0UxCwnnPK8tFIY72n7gXYwYujgZB1VOokTvPgGlOhjJjFYvnUGj437gIoUKs8YO6LTMQYijYXMk6HJ+JqxhUQx2sinEbEV9FzHqaKKVe/Jlh7/VARALIAT0kxyI7O8JM1zslScoKX+8uSZZjFJqbLRWGHgcKjZ7/ZUk4rr62uuXjwnLYuT1ttHbY0xliTNqMoyBlqLq6j87FYaUq9wlph7Jp/r+4H6cMSYgcVixtWzZ1xfXZKlKYMZsIPhWB/o+iEi5kvmiznlpBL9afwe470r03DN7f2W//F//mv++t/9ht1hwDhPmmpm05LlfMrl2Zw//9Of8+qrrykKieNQX1wDOSejycXAdvPIzedP7PY7qqpitVoxnYg+9dh0QGA2nfL65QsW8wlpIlo2qVlHSmmcUlnL0PX0XSdB44Og7IQYCj+ydON9PdKoi6KCkDKd7MjTjKrImE0nTKZ/fJPF7affQZKSxXw+PdIP8xyd5qgkIUkytM5kXYvP35gFK5R7mcInXuoGlRBzUTVaS4HLGI+QJNIkakjCE3PjRPuMGa5oAWVQgAuERKNDQhocZa7ItBN5hvfihBq8rH/W0DcW18NsWnJ9fcb19QWLxYwQ4O72gb/99h3/r//Pf2C7rcmynKvLCy7WK2FQxLid0Tej7weOx4bjseXYdHTDwGAkNuJsvSZRKrI/BOxwzlEUGcvVgqLICN7T9x1NfcCYHp2IftsYhxmENWKNTB3HfEmFTAu1lqlkfTjwcP9A20lMllJSbyVKyf6E/J5lOVmWx20jPC3aJ1gsnP6kleQbpj7DO6GFurFZ5Es9qfzLBCKYyWlqGMZpo9IoHffFSHUkQKICZaaYFopMy2R46I/s7j5xf/MZMxguri549vIFy7Mz0rKSfaCuabuBzWaD846r62sur58zmS1QSYKNEQ9jnI41Btu3tG1Dc6yp9zseHh7YR5Oai+tnnF1ekpclw9BhHwVc7GNW9NnlOauzc4py+gSYxDVh/Pl9CHSD5cPnB/793/3Au493dL0DAtNJwVevnvGLn37Fz755w7MXL4Vm/4Vx1+k47aMeO/Qc60Nkchzw3nN5dckkOjw/brYsV3Nev35BkaeiP405szJYcIwxJeNUse966kNNfaixVjTCeZ7jAwy9oe9lut31A/MASZIxm2WcrVfc390L64noKfAjx482i35o8UNDCA7lFdo7hnqgdxadCo0yCYEmyymmc8pqTjU95xg3GOHGy6KTKBhsj83Kk5V8OwxEc2RxV+padJaTZxlVWpJnGYNzJArKoiDVqcQJOBdRVE+OgaajMY6iTLh4tmaxb3jXHulcQOmoCVKQFgmTzPPt9x+5fr3ixVcvWFUVw6GmrWsedz3/7jff83//9Q9sXeDsxZrn5ys0Tkxf8hTXD7iQEIzjcbNnf2yom5reBQbvxc2qbfnJN28xTYMZOqrZlOV0QWocx90eXKDQCcfHHXf3D1y8ecEzA/X7D8LVbgb2fU8InulijnOWdhjYdg3zF895fv0C1bT0dcNud0Qv5qSHe87W5/IgeUt7bDHWk2gpguTm1fFsix4p+EgrUIh7FaDjIoxOyBIIwRFHI+CkSMqz5HTzd51oQnUS0TEUKlXgJDIgSVLSvAQPeSKOfgw93e4BP8lZVhP04z2HhxvqekPjDepizTevn/Hi8jkFOeGxoR0MGEd9qPGZ59C0LF9e8fzZNaXOKGyC15mIe02Pi+5SXdPh7IAJEh3wcH/Lw3GLfj7hX/7Dn/Lm2RvUY0sz1Biga1v2zRE1L/nZ2zfMspIsLUhDgrIBHyzeWHHlItD3LW3T0Oxb1s/OaY4tdRLQGXx7s+G3Nxv+/bvPvHy25F9dX/Avnr0hDzmht1gtqKjpDQFpaoOCoTPs7vbc396yMy2zr5b81z/7UyqfEzpHE2oynZAWKev5FGzAq4EEMF2PS5wYpChZ4Lt9x+HxwL6pqZuGbFVx/nbGsCuod0eMddT1gcf6wL5rGXLJdsJals+WvL2+5NsfPpIvFmRkmHb40UXlD/Ho9w9xQhiz8pBpISNyqhN0kknTptUpk0rrRJzs0uzkxii6jzR+XsfGc9Tyyf4rDqLRFCUZc5/g9zb5iLgHF8OrnShGHHJtfbD4YMAMJ+c4cAK4GUsSjRCyLEMnsgL44MAFmqbl9v6R3eGIUpLrdb5eMp1UJNEkIiam4byjHwzHmEvWDQbnPNY5sizn7Pw8Sg04FU8j3crHYsV5f0K4daTr+iCv2/eimbTOYWMRI2hs1AfK6RC9TZ6RtFI8jU1VEhHwWMWg04w0zU4TX0aNFWMZEKe6sgqeIh58jP0YqXKx/hn73xP1atS7yUtFvU8EGYqiII96IqW1MF58oEhhWiSoYBkGS3fsaZtO6LqrNeeXl+IUHZTQM/1A3xuM8yRpxnQ6o6gmpEWBVObj/QEhiZQwLXmVIQSsE12oThPWZ2sWiwXL1ZI0S8Sa3zr6rqXve6rJhPXZGbPpjDTL0WkqxiLxRARFjEwZONQ1Hz7e8O79LQ/7jnaI1vmD49AM3G0OHNuBv/wrCa6W+yJeAxDtVvA4J5OX7eMjD7d39H3Her1ivlhSVpJZNk4JrbUsFlOuLs8EZBRCXEwsFXqWMQN9Kz+PRGpIk6i1koYgiRqr4H9vOqITTVGUTKZTsrxkvVrxcPdAWQhlO8uy/3UXmv8NHN1hAyh6rdFapicqGqYonUGSRLA+P4FkOkkkN1QnohONlP0xr05HPa9ONEkqr5umGpckuFEHl6T4JMGnIYJlWgYtEKdFsSge9XeyCpMlikTpaA4W4mQ6PtZB6Na98ZBr1qsrXr9+wXwxjVmv93z77Q/8+rfv2WwO6CRlOptwfXXGpCpkTRoHP8hzM/RCX+76gWPbxfXJUuYpZ+uVzIfcGPciPgOjPiyEgLFSnA+DoShKCNA2DYMx9MNACIp+kCg1H8LTPhKBLVSg6Xr5vl404zpJyXJZE0/nPUnEpCbm+4XTIjgCYurposcPVZxIjs/26F4dlNSEDoeO8WcqSL8/Pis+sssIRAOXNNZ+UeMtuAFFqsk1BDvQdEf67T27u1uRErz9mvOrK8rZlKCU0OTrlq632KAoqymX1884u7wmjewHcdGVe8I5yXo3fUPX1DTNgePxQN0csd4xX605u7zg/PKKYlIxDANt2xACaJ1STSoWixXz+YI0L9An+nHUXEbXWDP0HA41Hz7d8rsfPvHxbstm3zAYobA/7BtuHw8c25433/yEajqTU+odXj2B6YEgxqB2oD7UbDcPHPZ7IDCZTlmt1xSFRKm1TUNR5JyfrVmvV3hvMUOI7y+Io6l1ERiL8UJ9T9O0NE2D854sF3DWGEvTyueOxwZrLHmaMqmqmDOZsFzMqaqKUUrhR3vv/8Txo82i6WspLlRC8Ap8zEEMHjO0ELwUEj2E41Z4/0UpxstKkWQFWZKhnZgjOBxlNWOxviLNS3oraHA1nZIVBdNiQj6ZQdAkKsF5T5JrAp7OW+rdFoxBeQNIRkvw4hSpdMp8npOaDFvvCEbMHpJUkJ7BwSSB3YeP7J0lrVLOlgu0DRy2Gx4+f+bX7x74N7/5gJtMYFfz05++YTUpKRLRrXgjmYVJkbB/3FIfDwQ8pu3ZHFr6QQKHfXAsphWmazDKs54vyIKi3R3Yb3c0znA8djx6RbJecHa+JNwfOAw9bhg4Ni2HuufQDuhySt81HBO4ePsV58tzUiNGE/v7LdtDj05ylIfHzRZUOKGsSSLOft4l+DhlEPBcFpNkRNt9iFQDQCUShuocIVEoNGlIsD7EMbilOxxBp6R5QGdihhEGC6aNjbwghDrRpFmBSnLQBWmZMPRHBmdR5CRFQq4MpjvQNXtqOzB5dcnrFy9YpwXBekIi1MzD7T1OJ/T5gnxScn15JvTOJAPrcf2AtYaubyWXUQWCM6R5Qn/oOR57ksWMs598Q9ksWS1SXq7OyBpxVhu2NXurCcs1k6sVF8+uOauWRPye4GTBMtZjuwHvBnCOvul5/Hzg0+cbfvfuHfl8wrDdYntH3wuNZvOoKK5WXL59yySboYMIqIXKahmMA2uot3t8qmh2LTf39/iJZ3W+4PJizSwryf2EZr+nq1v2Xc90VbEoClzX04SeXKV0bYNNHKlOGI6Wum0JNtAODfl04PpqTjlbUKicejjS3B5pjx37vqfFk6/mnJ+tubg843K5IH1sOf9qzc+3r/g8SLaR6bsfXVT+EI8RqTvpA4g5euhoFaXxSjTQT42C/G/UKCg9FkyxkYwNZJoXEgacF7KYpyl5lsUGI6D9KZ7uC13daDP/ZP4hOrogbFbnIFhxOLUDznQ400PQhCTDOkuiNWmm0anoI/ohxlEgQdVNO+DRFGXGerXgbL0gz6OpzLiOxI2p7XvqRoy6jLGSkYXoFdfrtWjBot5IoRkGoQGOhjXeCeCGinmEsUIb9UnOPyHHSifxmbOnIscHqVy0ToiKjdMh1OB4QZR6cvI70aqeDIvGAu+Lyxe1VknU+4Towqi+mEg+0a1UnK6oqOfUUcubJBkkEsKdZwlZKmusw6G9I9eBTEe5hTV07YD3sF6vWJ2vSYqMEJ1dnTH03UBnHPlkymJ1Fh2s02j6o09rvAridCgmSZGCaU00EILlahGdaoUK2vUdoZUg8uADZVlxcXXFYj6PjZEijDSqOAU2g6fvOg77HZvNhsPhKCwVlYD2cRIsWregYLpY8urrr8mLQl5jNA0Jsoc4a2iONQ8PG3a7HQrF+vyM+WIRp6ZiWd+1kt1pzMBiPmU2q/DOYA3RUEfuub490jZH2qYRHRnyLfMsQ6kUk2iMkb05uHByptRKk2U5VTVlOp3jfeD8vOP25gYVHEUsvP7YDj8I2DcCyELlls+FuL4pnRAQUCeJzYxKpAnUaXJa7yQyJjkxLJI0jVl+uTwLRUExrnu55H2mI1sjGu+NmlU/NorRNVUpodeDQgcllLwQmxuCNHqRxqycYzaZcXa2Yr5YAIH7+0e+/bvv+Pj5gX5w6DSlLDUXZysu1kvybNSSE+93JXRvK/t8PxiadpAcWuvIpqXosCOSpLVQIo0xHI9HMYfaPDKbTkmzgtX5BXjP7vGBtolAhrF4oO166mMrTWLM5yNCWBLfIXpS6yzWC1siT55aQRX3GVnrRjaKsCFOX3UC2sIJTBsdoFWk0wfv8VpLljn+FCw/Ph8jYybg4nMu7y1NU/KiJI8h98IAhCwRraoKjr7tMO2OoT5QlCUXVxdcPX9OVpYEBJjfbbZstwd0XnHx8iuuXrxmulhFJtzT3ufjPeJsz9A1dM2ettnT1DVd16LTlLPLSybTGfPVkmoywXrPYCSbuigqZosl88WKSTUVQ8wIiAU83gkA4Zyl71q22y0fP37m2+9+4OP9I3XXi241RAYLir4XDen1s+ekeXZq4JQahzMxtqdr2T5uub+7o2lqyrLi7Pyc+Zdr7njPA4vFjCxNMEOPc0/OzS6CZy46n9pB3E+tcxRFyWKRC0W67+m6A3XdsD8cscZQlQVlVbJczMgzAYhm0wnL+QxjrbB//Je76n98/Giz6JpNfCiyuHhI40hQKBL5OBX3p3Hj7cxAVO4Shi7mtYx8akt/6NnXe7JyQlEtyaoZ/qjwh5Ym37GczcnSkrQsKbMKHRQ4Q55npJOKplf4kOBCdATyjqAGSFNCConr6W1HlmvMUcIoExQqTQk4vv90y+tffc2rqzOCh+HxwM133/P+dsOtK/mzf/GX/GSz5//61wVvXz5nnku2lzXSxZfTkvV0wsbc0juLtZ6u6+m6QQoMrajO1mgCnR2Yn18wywu6zYZmv2dzd093bPn4u/dMfv6WN1+/ZpZkbIYtbTuItu5Y01lHaxx3f/c7fvvtO978d/+Cq/UK1bQMxwP1fsfHxy39pCQM9zjTIjltI+QWw25VgtKisUlUEtGZQYTMTppuAVdk01AhOhGOWi20xMJ5sZI2ZpAyukjJA0zSnKQQdy3FDGUNx80jzg0onZPkKUlRUc0nZF4WfOc9QQfOlgULZQl+YEgC+dmcxWrGqpxA79FJihugO3T0x47b7RYmM35y9g3r6ZJSJ+hBaLQBMU/K84y+E22rd57QGfY3O76/v2X19pzzixUX2RlF8FSpUFb7rbhjNXnCavWaq7MLVrMZBZnQeoOPAm2PcZ6h6wQVPLa8+/Unfvfxlsf+yO8+fCZZTDjLU5xzNMeWgOf8xQX/4r//p7x59godhKZgTcCZXlAsZzHHlofPt2zaA73yFGc5z1+ec3V2TU6B6iUk2xw7Hh8PHFzH12+eMVM5h7tH9ERT6ozD8YAJHvrAYXPkvtuRrXO+erlknSnK6YK0vKbdKw7Wcjgatm2LTRWz5ZrFcsWymrAqJ9iHmqSCy3zB8+mag3egUqz98UXlD/EIsSmQ5ybOoNSoQRSc9jRyGps4ODUeJysApSVfSyFIfJqTZKnQvbKCrCjI8oKilI02SXOSLH5NpKSOeVWj6QCEqJtMSAikiRercw2J91HfY8SmnuyEzKtCppfS7HV0wVLmMnkzRnQNk0lFmhWcr5dMYmRGiJQ9sbx3GGvpuoGm6RiMGOf4CO0XRcZiOYdIzRodLI0xdH3P0A8YY3DWorSK+jrZGG10q3QnsEoKfWnQQjROiB3ZSF9NJGrCSe8cJ3/qC7ppzDwcRVOBp6JpvNZfXL+Ttic2qBEx+6I5jFThU2GsUV6JNjgEgg6nwk2pGEKfZmLoM7b+IURGXpCG2sg5mk4nzBYzsjyNWi7R5R/3O9rOMFmsWazWTOZL0iyXiYYa9bI+au5Ezzp0HX3fSd7sMDAMA2maMpvNmE5nBAJN23A81mKikeYslgvOzi5YLJbi4DdWzirefT4w9EKb2j4+st/taLteJikoXIgxLycNr+j/rq8vubg8l2sFcqEQ2mnfNRwPezabDU3TkuU5q5VMFLMsPwEtY+7jsWkYhoHl8pwszzBmIHgpuAcjhVh7rBl6oatmsUmReIzRfCqlaQTgGjWpY1ZpluWUZUVVTQgBVssV89mM9nj44l75Izu+iJMJYRTWEmnWI0gmHhRKgVMx//XUQMRIi0hFVEmKShKC1hEcy0iynDwvKIqSoaoki64oojFLpPfH6wMy1QhxsjGe8QRxVE21ItUB7RzBGnD2FEvjnWQH6+ApyoJqUsl9c6z59OEz9aFmPp+h84rWeqx1XJ2vmFb5Kd5ovHfHNck6iZppBxPjYIQhURYF06mYOI3sAuccxg7c3T1we/dAXpS8evUVl9fXhODYbx+x9/f0vTAz2m6Ik8iAcZY0iymu/slMRinFZDZFpxmDacRUOUm+7P0Y16i4gDEaoIzblB6vWYQH1Ql09E+MgfF+OAFx6rSWjVIMqfuFKjwOEpJUtMzVZEZRTiRKL8SMS63IVEB5izc9OEtVFSxnK9YXZ2RFAQq8sTT7A4+3dwwu8PLlVzx7+ZpyvpLoPUYtqwykRm22MQN9d6SutzTHPWYY0GnKYrGgmkzJilJMXRA9dr3fy1p7vmC9vqCopiJPiDEpIYITzrqTGdHm4YGbm1vef77h/adbHrYH2t5I8xqfGe8CRZHy9u0bzs/PT4Z2zjlCcNGEx9K3DfvtI9vtFtMPzOdzzs8vmC0WZGl6uh7WO4a+x1rDfFqhdcCaAe041fLWSg9i+l5kJkqRphnVdEJZVqRpyjAMNE3L4XBktzvIRLySrMe8KCgqcSwHTVWVLJcz+q7/wnH1P338eHSGNYDCYeTh0LIgKJ0xIiE6og4RthCUnZHOlYDOIJX8LW8NaBFrhqHDkZGFlCKFfDojqRa0OqP3itIFQmIIVhqdbdeQpAqC0AGKoiJNK3qrRAisYZVZ7NCSe6HZdJ2hcwGdZ0zKjGF/oAmeN6+vmRiHud1y8/ETv/nwkXq15r/9b/4bsocN/+O7G375s7c8m1ZoG/AaeufQeUpRFWRFRppqTN/THo+0vcQdJImYNly+uJYCoShZzBYEa9ke93z+9InfffrMQ10z2W75h9fnrJYr1KEhDJZmsMKP7zuSRNDtD/cHgs44X62gbQlDx/Fxw83mkatffM2fVyv+h//bv8OYATTooPBenLEsjhwJnPXO4mPWpLcGl4APljAmk43XLiDT48Sj0ZhWDBYGEw0llCJFo1VKUU0pKlk8tU6YZAVZ5tCViXbDIjgvF0uK+RJ/ODKZlGQFXF1XvF1o1H7LUHmq8zmrqqAqp+iQgPd4MzDULc3uyO1mzz2O1+dnzKdzUhR4Lzmb1mAHhw8W21u6XUvTHdFK8f7fvefbmxuGhWfClLbfg5qRL88YrGG433A41Nwfj6jnF8wXMyqdoXwg1eHEETe1iIdVltBuazb1Ad853j9seFQN72/u+N3NHW0/iNGTTikjgvb1T7/iT37+M1JfgPOYvqdpjjTNjqHtcMGThIAtFcXZhOfrBbNqQllMmE/OyFxBu6vpmyNd19C2HYvLGS+vzsmc5mHzSOJT1HxBkiX0B8P9w44+G7j61TmX6xVrrZmaHh8UznkKXbG53bMdWlyZs1wsmE0KJmlOplK6hz36QrFaXnL4dk+rNfmkJEsy3B/hZBGdxY33C5MaJQW/6DRGPk6sMEYqVJzCnTbfLzRuYhzg8IM4nCpjsKZjSDOGLicvKtKiIMsKQd1jdINWmkQpAXmUOlG2Eq3JVCDTikw5MjwacX/Eu5MW0hGLAu9RxJzOtgM3QMgotSZNFJOqEI1iUbGYTcnS0VFS6PQ6eHG9dJ66aTm2PYP1+Kj78s4zm02ZTWfRwltoQlqF2LCIjffQ9/L3geh+Kq5v1gUGa7HOR62ITDRcGIv0kSwq70vyDQMuRMAJvqBXjb9H6DI2vCGIIzBwui6nmAUFI0AwNpojQKBGLWlsKsZJiop0K+XHCZU/NahJmp5cCpMkxbqn95SMOq8gZjHFpIpZgYW8heDwfcvj457Pn++YLtY8W62YzhaoNJeiXMnarNRIbbJCga8PkeY2RG2LfGNxv51SVpW4REb9ng+eoipZLtdMpjOZwip1Iq6F2NQ2TcP2/oH7uzvqw16Q7yTDjdc6uori1UmbqZOU66tL5tHsQdB2cSk1ZuB42LPf7bHWslotmS+WVJOoGxrPs1IEJ5rL/f4g61UhrpVdJ4XS6Ho4DD0J4rheVeJGmEZTnvGRtdafpgjj+zkBApHWN8Z6VJOKyWRC3zWnAvWP7vj7/e8oRYmfE+D/KTJDR8DlBCKBMBwQOrDGCSU4gFLynHrEqRjARapmNphIR81OmaDJl/m0iYq0/gicAYkSR9VMgXYGZ1qC6VFxQi1TlJ4yEwdmgqc+7Ln9fMOxrjk/WzOdz3k8NBzbjuDhfL0gTb5oVL0HpaVJtJ7BOrrB0LQ9vRXjLaWgrEqqsjit+eO0q2t77h821PWRtu2ZzOaszy9ojjW3Nzfs9gcOdcOx6Wi6nq43wiKJwIi4qoq7cohrT1aUWO/ojf1i74nXRT5gjKEZr9u4Hp2o9N6NVIoIgvF7eje+eB2ttGRmx4zZ8b2N66EOgE5I0pysrMiLkmo2Jy9KYTs4hEmmINWBJFhS7SjLlEku2ZR5KU6mfpAm6ng40LQti7NLLp+9oJzMUCpmuQaZyoU4cQ7eErzB9A373QOPm3uMGcjLPObMzskKycENPmBNz7FpqA816/U5i8WSajIjGZ1jw2gkKE1i38mQ5uF+w+3NLY+7HY/bPftDLaYx5inSZQRvF8s5b99+RZHHmKZoOGOtAAJd21Lvd7S1SJbOLi84O79gMpnEhi1KNKyl73v2+z3GGLJ8IdEdxglgG/facU8NQFHkTKoJRVmSxdoheE/bduz3NQ8Pjwy9oZpUzGbzOKV2cSot901RFiwWM9o0IUuTp3vsP3H8uP1NPj1xdYJOI4qUo1QGZERuJsoNEGy0oR537bjZIq52KSkqKVBK4zMPssTTdT2DGtBtjW0PlEUJeUqbpJi6oW2OHI9bpjlMFmvW588wRclgM7LkyKycElQqdDHjoR9ImpahHeic42g9eZGR4ei7Ha+/uuTlaka/a7l53PH+5hPd1RX/8l/9Ey6d4eb+wL/9zQ3Xf/VLqqJk6Dt6Z+kHR5ampLuG1CmGtqPpDE0/0DmDWB94jHNURUlWlVxdXFOR0B2PzMjxteFQ19gk4DLFs+sLKqXZbw9s7+7QakCFHo1w+pOouXnz9hXueESZnnaz5cPtA6u3X/P84orHX3+m7xtC8PKg4QlKkDClFFaFqCsQ3YD2jmCGaDMdHeKcjwixJ/FClfK9wdhA7wX1kE01iUWBJlgI3qPShDQrSHTK4K0UEJkI5YMdSOYT8qJgojU+r+gea1zv6KucY5rxOB2YrhKenZ2RhZy+7hmOW9JcoUe3vocNXWpJrp7x+uUrsgCZ9vKz+EDf9Dg/oJTCBIPPAsNu4PF+z2/vP3OceV59/YxcJSgV8MowOMOkOqNfNOweHjCLBS++esOqmpF5wFhCnuAGSx8svR8wesDXjo/vPsKy4vOnG5Z/es3P13/K/+X//D/w//6bb2lNR8CjgsZ7i0oTfnj3gW19oCyEWtv1Hcb3pBm0h4FtU9Mrw/piyddXV6xnF+TkEBRZyBjqgbbpMHagPdRsNzv6ytLXPabKKKuMoW/oihLTwMPuSHGdcLlasV5dcTa9JBssyu4wTc3m/QearmB7POBTmMxLlpMpuU8w9cBmtyd5PeXV9XPsx5pd2xHKlMwlJIPB1P2PLht/kEe09g9KKBrSiOhTkQkjPKZOH59+j80jEHV0UTOiIv3RC0gjlbjEGzjj6b3DugGb9iRDdhLIJyoWMjHzNImGE3makmppBlGGEHrC0BFsLzRAFdFhD8SCQDIyxYGPEMTtOC9IrZP82Swlz1LJ24suys4KCCh4jKftDLvDkbaXOB0XxKLeecdZDPgNweGMZTBCcesi5WpsBL3zYi7ifGwsQ0RzRYfhoxlXnmXSvLjRYU9YtyHqzKRJDV/sa18UTJEOPDpvEvxpWikXRzZnH0QrPJprjMWqjlmBp0ZC66jNSk90O61H6pLoqaQ51jFXMv3inCanr0l0INOQ4qWQ0hlFnpBXeaRoykTnsD3wu2+/p+sdVy/fMlusouFIKiDrGLbtHUPfcdhv2W83NMcaE80yVCIxEGmkDiZJSp4LaGWMoet6ksQym06ZTCbkWRZ1O+qU0eicZ7/fc/Pphs39ncSZJJqqLHFB00U9lzTsX0yddMJsOuHF80uyVEUdrewnxhpx7GuEbXR+cclsNpeJ6SmyZqRbPVH7DocDIQTSJIkRK5YuRiMEHyirkllE1gUdlyfUxylKiJo2FzWxxsgvrQM+DeRF1Nd6GzVYQstO9Ghi8uM6nj/EwydRR4oWOm+8n08dNk813Djh4QvGUhzXyueTL54LpVCpUFLH6bTzFmVF/WxjLI5M/mFcI3WkgisdDViynDTLhNKYSfOCDriupq93hOaAcoZgDW3XYoaeeTWjzBLaes9u03N/v6Eocq6eXaOTVDKwUzGiyrM0gk/xntfyXox1tL00ifu64dj24k4ef/z5dEpRldH5WoAnZx1NK5OcrjOkWUE5naPTHGsd282W46EWOrWVqaVxnlynlNFVfFxzxiXNBxispevNU+PHF+yWca8Zp4UhoCKFkQiWqXFaPL75kx4t7l/jHqOUNIlJbNKTDJ1G7aqWjMvgic94QpIV5OWU6WzGZDonzUUb7lUg1Yj5mgokeLJEMSsqJmVCXpZRGiD7kRkGurYFrZmvxejG+gDWxnsuZnBGcNE7S9c2bO7vuL+7pWuPpEVOUVRUlUwU9RjnlkRNadR6zuYLysk8sgv1iSUmk7+Ow2HPdvPIZrNhu91hjCXNcmbTmeTLfqFxDnGoorVmtVxycXYmzWcESo01UYLR0jUNxhjysmA+X7A+O6coqycmho8xP9ZS1zUPDw8YYwTwtSJTGg3OQmQDZHlGNZkwnU6esmuj5MIMAh5ut3u6rqcoSpaLBXlRsN0dqI/H6KYrz2eRZ5IZGkLUvf4XaBaLi69lIw8KpbIoeC4gK1E6Q2FQYcDbnmCNhGSSolKx8lVaBNIqk00T58H1BOcxbYf3g2xo+YSqnFBNphAsOg9kSpMuErIyY3a+oG86Gtsz3H6k0IEqUyQEdolmujjj8uIZl5nm9re/oeweqI3FRA3eJElQvWPzcODV2QSzr9nd3bE7NmRfv+L/9Jf/gEndsLvf89sPn3jMAn91fQXHhqY3DEGjEkXnHJPJnMfbW1pjcM5Qd330fZFpgE/g4AxpVVGkObbraXZ7vv3b7/jN7R3lsyua33zL9bMrUq8Y6prDfs/9/sCu7SCI2Y9HKE5/9pd/wmI2E63a44bt8cDlz3/C1fkl7n6DrRuKPMF1UaCLaHZCbKRk6UgJQaatIUOcPIOVGUoiDeZIs/W2lWuXFSRpRaYcudbYyNVWKiXRKU6BdQY/9OADeVlR5DkqUQTrKYqKxrbibrdekScagwKd0bY9d48ty/MpX13Mmc4D6WRKOHr0vEIFTxgGuuNA72BTD3yyHX/xL/6EZFB4LEZBqsCaDqcsaZHT3B94eNhQzAtsa/n2/XuW//AF/9XLl/h9y6He07cNeZmRpoqQeJYvXtF5helqrtZXFCol12Ip/YRqeezR8fD+gU+f79gkHevZiqs/fcbz6yuyQ8LFZMWkmNDFCW7wopdFBS5fX3F5eY45HlFacidxYI49Tllmzxb89PkzSiV07+lkQRoy3GAxnaEbBnzwdPueetdxv9vj8sBuf0dhTaSyesyuFu7+N2vO1zMqMiwJzmiwCcEmdF7ROsd37z+z7Q9U04p5VZAhUTJNa/j4eM9f/NVrmg8bdKVYXs9pQQo07el9/aOLyh/ioSdLAcLSWDyPUyR42oBPhVQY548nKmOIGy+xQVThKQ7Fu0Eo3z46l0Y+UQgObwesF9G+1Wl0RwVGGmosqNI0pchLfJGRZTDogcHVhG6P60SnGxgdIYNoXZxmsAavEopIuyqmE3SWY9yRbrAY40iSiLA6hzWBRIFWKV5DZxyPu5pd3dCZcZrESct4fnlFWZU4Z6IZjkxujHXRXU9OoXPSvBrjMVYkBNbKn0daapalFEUp9HPvnyj1XuiOLtLA/d8rXlWc2KFG102kMfSSPRl9/b6gm4mL7OheG6tVTvb5fNEoRoQ9ScS8aGwWfYQHZcwoDX2epRRZSpEl5EkiWiocRaKYlCl5osjSRJxs0zhFi4ycoev5/OkzD/cPPH/9NeeXF+gsxyEOgyeaXvAMfctu+8Djwz1dexTQLt4jaDFS0krhfMBaacKzTIoMayWTeDabi1NppAPKJMJjBsN2u+X9D+95fNxS5hmXl5fkuTR12/3hyZ5dx3iFOPlONVxdnPH86gKcfcrQtCZOPR1FIe6NYh5TcNL4xobdWRdZQQOPj1v2u4PcAs4y9B3ODfR9DyEwm89YLleSjZik8lwF8DF2AYS6NQyGfjCYQeQJw2BBWVKXUpTmZKyilRhK5XlGGiMQ/nMOgX+IR7J8JnTCTIy5iFNvMYp6AlC+nFqJUbP4R8glj01jnCYKcd4Tgntqe7wXBV2QKAmvjJjrqZH/Ge/pLwAdpdTJGC9PE0yekM8L8gL8cYPZPqKHhlTJ9Nv0AwrPfFYxnZY0TcPmYYNHcX55xmQ24+Fxz4ebBzb7hvk85dgZjI/01kzccMXN3nKoWzbbA9tDQzfY2ChKc3B9fUWRZRHcEtbRMAwMvYCnSZoxmc3QSULbtDxuHtluNlhjI30xagSdQ5cS0xJUAjhGjqlMKwNtJ2DbSXYdm8QQf1dKntegVGQSCDtsHNaMwIt8eYjTUGkStXqKdxgb9JENoU4mbilipKUgOkD7ELWTFZTTOXlZkSZRc4cjVYFMBRIcCYEi1ZRlQp6L7pWgwDuUd5iup2lbUAlZOcGjsCG63KLis2cJQSQWx8OW+9sbto/3oDTL9Rlp1MQGlDSATtg1AohmzFcrinLKYn2BTjPZtUVTFaP6ah7u7ri/u+OwPzAYQ1mVXF4uKMqStu3YbA/83e8+oiPdHuT8lUXGxfmaLE3o+07uficTwr7vMaYHpZgvFsxmc6bTGVleMF6VEHeQ4MUZ9+Hhkbv7B6oixzmh1w9Dz9CJT0JZFUymEwH4iuJkiiSAhTTUXduK+/VgKIqC2XRCnue0bc/nm3vqY8NydUaiI5CpFFmWnuJeRnbPf+r40WZxsniBDQpHRlCaVCdUeY4uKtHg2AE39JF6YDE+oIImzzIMQQIqfUDhSOLGXU2uMB4OhxrlOpSOvO+25nHznXDdq5yqLNDRyfN4PEbusqDQx6HFDB0aSHVK8ukT3/7t3/CzdclXaYsNA964aDmckKaaoTuyPdS89JfUxwPbrmH69Qt+/pPXLOoD25sHPt/u+evffmCxXHJ43PGbHx4pzpdMipyzMmM5L8h84LsfPnNT1/g0E8MTG81couj+F7/8Ca/Pr9DW0x5bHrd7bJnys3/4K9ztlv8JsUUf2hbdWnbbR5zr0BqMUnGULU6BZ2cr8Ja2GbjdH7j65mueX15jtjv29xt+99v31F6EyRYdHfzEdEBHlK8oM8IAXiFOh6nCa8R1r7c0TUsfbaBVqslSTZpoMc9ATBqcAp2k5BHpzoqcaj6jqmakATDifKUC2E50M1makuUlSVZhgiKpCoowZVADjTM0zrK+es7luiJzjt5tZdnpOoy1tN3A4ODD/YHD8yXT+QKiW6BxFhcc3WGP0QF76Pj0wy03j/e0fcfs+Tl//q//krNqgmosdehJArjOcGyPrM5EzFzkBVcvXzEPnioR11ZrDL0x+MZy+/EGi+H+4wPfff7I+meX/NXPf84qnVKmFcrC3ftbbj8/4J0nS/MT7ufx5JXmV794w7IqMabH+Q5nhJYVphmLywvRCc7OoHV4HUiCJliFHQJDZ/Cmx3Y93bbm++8/8Pnxlhcvz0lNkEWuazCuY3a+4Cza3y8n56RBctissZje4Poei2JxfcFyn3B3bClShd3XHDvDYAwP9zvuUwNDS3pRsUqnPHy/J8tLsjSDNJCGPz7Th2J9IcZOJ6rhOOkQOqRSQoccCygt46UnWpDiNM0iWII1kcIseWAKH+k/DsZNPUg+no9Ux3CK4IitoncEbwjROr3LMnyeogtNpg3BHSlMTeIHMZ8K4CI6PpiB0snrllVJpjNSLWuydYFtfeRxX3NoWhyaeW9kwqgCaaIFdUexP7TcbnYcjh1DbPJG+lU1Kfn6q1eURU7bWSlCVIwNCRKDobWcs3EzGt0tnXei1XU2nkaRLqC1xGfExvwUGh01IEPMKbNfGOKcXEqJbn3qyZhHXFgjKo/E0siETii60vw9TReFZaxPph0yBUmfTDxO6DInI7cQxqIrO9FQlU7wQaa582nJ+aJiUkKuU7QKZGnUnKIY+oH7u3seHh5Zrla8ePWKtMjFpCZVaCcaTmcGurZh97jhsN/i7ECRF5HSF2Mp4v3pvT85AS5sjP3JcqbTKUopykry2uQfBZwxtM2Rh4cNHz9+5HA4MJ8vuL66Yj6fopXGh8C+bkS36DwqSciiMVCiNWWW8OrFc5bzWdTGm2hYEkiSlCwXA4Y0zcTVNmpnRo3pSD2WyaYAf03TUOQZTdOy39eEMKCByWTKYrFgMpnEjDSFivelCgGI2ZTG0rYdbdthTIwmioYZIbg4pY5B3LH5ybOcLMtOphN/bMfk6rU4QaZJnCKJW+xYDDPqphWi31ZiXuJDZEwQUJEK7p3kKhOLde+iptSJa2NwTyHiIUTw+tQrRjpkEGA2pmAyTjd7BTaBoikoZimqr8H05Mga5Z3Q2pVGIt2yHOd6srJkuVqxPj+jGzzffv+Zv/3dR+rWsDLQu8C0zCmLjOmkJM89PijqpuVhd+BhV7NvegbnozbaURYZ33zzNVqDdWIyMpgBMwwQAmWeM51OmE5K3NDyeNzz+cM72uMBrYh69JHyKTFAk+kUraPGPR7jxLLvxnzVyBAhROBt1M2NT3qMGyHWb/pLgxu+YMWEE8Wb6NA9unqfIqHSMTIqPdHwx/cj9G2hX6ZZLs9yjFCTVw8kKpAmiiJVVLmiqhKKMo0xaVFK4Bxt07Hd7mjbgdnqjLKaCMgzmsOM2u6hp2+OHPY7dtsH+q5jNpsxWywoqlKiMPqoo3dO6Lt5TpLMSNOc+WKFn3rKySSeFx+ZDh2H/YHbmxvubm4ww0BeFJxfnLNcr8WNWSXsDg2TyUwi4pIEHQJpqsnSlPVyzrPrS7RWDEMfQZEASlMUBZPplCIvKKuCsiifojlGszc/smU8bdvw+fNnNvcbzlZL+rYnUTKBzbKM2XzGfD6jLGUqGOI6NTbwo8lS2/X0Uas+mVSoJKE+ttzcbfj0+Y40ggKjntI6J5F3ec7QD8T58X/y+NFm0QZAZaQqhaBJgghXM2eY5AnVpKDRmrppMGYgLUpUkItSZCmJG7BdTX/cg23BdxxQJBoIEjxuzECIJgcWS+Jz+s7TpQmTidBUqjyVEb7p5USrFJVP5KFyRlDGMkUXMlFzwTN4QWUkk8nRDC2DMxAcnQ+cffWCr19dsxwcu82Wh03Nf/i7j/z19zfk1y/5mx8emEynuIjwDKYgWyxgI4V13zQM3cDQDaDExTAETZKn/KO//FOKoPF9x3G/p/WB8nLNs+WC3/zmPZfnZ8wmE/pDzc237/n+h0/kGC6XFZ+OWxItOotukPOy2z9SrRa8/tUveXa2xu12HHd7Pn645cPjniHRqKIQKkLMWksSMQvI0gRcRPCsIPPOBJROpeiyTjQdsahDZei0JNEJfsz2AZJRUKsTkiynWMzJ85QyUSTRwGgYevrB0htDM7SoVD9FC+iUYAPOQV5VTNcVP/vmGWdFgRpcfIg8puslN2ZX8/GHe3Z4wqsL/vX/8V9zOVmgesfQSHMUesP+4QGfadrHmt/d/8DqzTWL6poXz59xOV3S7440bUfXtDHXy4N1NMcd5SSj7R2oCWVWol2g6xqh6SrY3+/44cN7isuSdJ3ybHnBy29e82x5je411npc5zg8HtkcDlj8afFMtAIdeP7mml/+9C3zpCLxiqFr6J1lcblkNRPtZVaUZD7BJYpMKVzvcVYywoauoaslnuXYdtxtduybI5M7za0OVMuS5fma2XTBi+tnVLogT6ckNpHIBSPupaY3+EE2ucN2S1sPZDqhP9QcuyPHThDVR2P46T/6ObMyY6lLHr+/Z9MMuCxluZqzPTySVPn/f1XJH9ChsvLkgHnahsNoMEOcJsk0ChhnSrEp8nGKZcSy3/b4oSdYS/AOhRvHWqBkKjl2mKcMM50QdDQWUGOotT81jBIi3tNaRWE0VTKQuhbvOnIlr+8BGwL90GONIU0mTKYlk+mEVAltyxjHZlvz/uMddw9b6sbh0RzbniJPSZWY4qAUvXXc3m+53xxoevdEKY26l4uLa169eo5O1GkydKKVjY32OICIbsrO2ZOpgDGiaRzdUnV0XhzNGCJVgnia4zpsBEUeUfovENHY1hOCmPpYa6Nr5jhZjI2C95GOrmK8wpjBOGbARUMbFZ0eR2Ob0fBIBymOx0YxThazLCNLxbwDJe8hSxTXZ3MulhVlMZAGLewRIFhPO/Rs7jd8/nxHkua8/PqNuChqjY/5a9ZLrtjxcGB/2NO1DWmaMp2uTo2WaHxkKjGe267taI4NXddRlJU0dGUVjV2iJMQ5mqbhcfPAw8MDh32N857rqyuun10zmUyj1lJoTv1gaLqeACTRHVNpAYiXs4pXr54znVan6ZMezYGScXqlT/mXIXzhUhvfv7UDh/2O27t7Hh93olG0ls3mkUQrqjJluZwzX8yZTKZkec6YkzfqhANCkzbWRg3PgebYxsZPrpm4tIbThEXy7uSZGwvC34tI+SM60tkSnehTsyCaVQGTlYraJf3UuoFQz70XAEsFgzcDzhic7WW/jE7po2O6THBkXdJffO/TPaFGjewTy0KaUE7PvI4AgjcBP2Qk3omBis7Is0T00NYTFNStoTOB5XLJ+uKS6WyGdfD+3Xv+5tv33GxqjAMbanrjWMwq5tOSoDRVpFnuDy2bXc3+2EmUgwunn//y/Iy3b76KEySZRBsjAelZllEUGVkmDh7t8cBhu2H3cEeiQBU5xrnTmg6BSVlRleVpQiuNQyz+g+iLbYwncn6MyQknQCUiYwJYWUtIAppU6r+4r4RxCY7duY6TRK2fdIljc/hkavPFeqcj9hnXWpE6aVnvv2ADACgtdf0k1yyrhHmlqApNkqr4Oo6+69g97tjcb9jtBIC+uH7OZDaX1/GiDzV9x7E+sN9vOWy3WDNQFAWX19cs12uyogSlhIJsHe2xk3tOSRxFVU3FJVbFaDhgGAZgoO866sOB7faRw/4gr3t5wWK5ZDqbkZcVKiD9xrZmXzdYJywxAfkyppOKZ88uef78iklVCvh1ms6Kdj3LsuiSnZz2QmctgTH6QrSSQ99zOBzYPDxyOBxJdcLjdkeaLFmu5ixXkmGcptE9eLxP4pR5zEC2xtL1fUxkEKZM0/bsD0dubu/o+4H1ei09Tey7ZCIexBDIuQgG/ci68aOfzScxrBYJuR16hsGSNDXtQVzHnBd+dQgWpwayrML0LblxdM2G5vjAcNiA7QgRQwkBSDQqzcU0xxN1GwZvGggKm2icG8irKdP5OnbnKX07MFgj9CJnhCKAZllkLFUgB5QX2lOCpkgU3juOx4ZD07NvBsrlgm9eXTLTmsPNls224W+/u+F/+fU7Gp2R6ZTBBqZouqGnmiSkVc4kz6g/P3JojuwPDbu6Y9dL6LlM2D3rt9d8dX1F6A3dYU/Ttahpwfl8jmuOHPaS56eNZX/zyMf7LTvnOMMQhoE8VScEfbCew+FAkpe8/PotsyQnHA7Uj1t2+xpTlRSXK5Lv7tBBdDN+sDHkFZlueAtobN+LfkCl6NySZCVER7+xGJAFxQvSR4JKU/JyQprquAFYtAeVJSQkpEG+X0ik2UzyGQkDqVPMFmcMfkAVE1xIpElMtQzgE8VPfrLiz17OmXrDsKshVbhhoNnv2e8OfP/9DR+PNZOXZ7z95VecTRaEPhBGk5Chw3c9u/2eh+YRVZY8+9Ov+NlPfsoirVA2YJoBZ8RuOKSIXioEfG8ZhoE+bSmyqdASugEbLGboIHj6vsWbgcY1BJ3x9Zuv+DrJ0SojIZei10HftByPLU3fkWiNieczL1LSLKGqSjn/xpEoTTYtKLMZi9mCaTklCeCtxylDluUE43FGwqr7TnSKQ9/Rti0mGA5NzaFtmOwNdyvDL579iuvLK+blknkxAwvdrofEkKcJ/bGla+tIp7KkecHj3R232wNdX3M47mm6nsPhyM2uZv3NS75+ccWSirsf7rDa47zBesjKnLlaMbjHH102/hAP75+oOuP0MPBk/CDGTwiVRo3Yd6SZ2gHbt7i+xdsOnFBniBModWqepDj2o0/9qbnSYl+uxa1YJ08FnGRMxSLDBowHg8YFi/WG1FmckuYnBHXaOIL3TKqSxWJGWRbg4Nh07HYHPnze8P7TPY/7BusFKW77gW4QYDBJhML4eDjy+e6Rfd3SR/1hGKmNBL5585qry3Ohm41uegShkQf3RDOLRZIbNZHxNbq2o+t6YaUYI4Vg1Gx6LZQhj7DUrA0MgxRwI2319xwUx+ZS6zgxsjinUQaCT+LVioXP6QrzBUo/Xih9cj+VQPIxQ2x0W9VCcQUB4RC0fTS3SdNU1mHnCc4wrzJeXM5ZzVIKZcFpMY6znmPf83C34f7uAWs9l9fPWF9ckpYVKI0xPb5r6Pqe5nik63qUUkxnU8kFTHO5P0YTGR8nIV4y39pW8re6rmNqLUmqJUcxkYnzMAwc65r7u1se7u8hIMX2+VkMGC8gjJQwR+s7dvsDx6YjQNRExry3LKGsShaLOWkSJ1NJDOiNgIjW6uT4eyLJRbQ9xGJqt9txe3fHZrOh7cQYiSCurIrAfLHg7OyM2Uxs53WcKPpYQI0vO7pkHg412+2etuufzCkiry9NUvI8R2vJ/LTO4azIM4pCdH2J/rLV+eM4dJqczkEITuRBkRhHEJDME7EaL8/ymD8XjMHZFje0+KHHDx3OiuslcZofwjglBL6gPD7FbyQnireKrusQe8T4YOoTnVIMoZQWY71UpaSpIs0SQtMyWIcLgbodCEnKbLmiKAp8gJubO3773Qc2u/rknNxbS9INJFrLepNlQmN0nsd9zfbQ0HQDfXxdIl3v1ctnXF2c8YQeyCaQZlGzF6fzZhg4Hg7U+4MMULI0Yl5tBMckdqgsS6qyjD+jxhPp/bF2NdZjPaf4iOBHDW7MhQxigChRdgmjYc1pn9Hq1IiO32NsFFWSRQfbp0aRMW9TfaEfDrEuZHRRFRfh0+vEKel4ocpMs56mnM8SZqWw2EJQWOtojkduPt9w81kal8lkwsWz51w+f05eFrLX2oHmWLO5v+PxcRNBrpLV+QXr9ZrpTHJgUQoXPKm14pzsA31vUDpQVaPJ5kijDqLZtxYzGI7NkaZpIAQuL86jW/SUNM9jpJOWtXSw3N4/cHP7gHWi709STZYXTGdTFss5y+WCalJSlgV5Lk1jkiYk8T5nJBCdgGI5Vd47jOnpWvFkORxq2rbDOkffDzhrmc1nnF9cUE0qAW/hdI1PE+MToBoidbWnbTu6TvSxddOx3R3oe8N0OuH582um01LWxr6n7zsIgTRNIEgv92PHjzaLVbDo7kCSpaAMJtMEMoLzDG6gqRtpSFAkCSS2wzRbnO3p/UBX32GHPZghFg/jQybIXuI8Oo02uZEGGRC7ZFzAeIcKAaMTVFqSqIQiS0nzVBy37EAPlGnKJEtIbSOIlgskQRYU5xWp8+wPR+rO0jrF9eUZaefovWO3P/LDhwd+/eGeR2MpJhNSLcYmm80jWidkWUqZaXx74HG/wwXFMDiO/YANgTTaBrfHhn/6Z79kkhe09Z799gFb5lyeXxDqlmM7cHN3h9fQ7Gu+D7eU1xe8WszpfvvvqduBw3Hg0LYnWsaLV894/fwZVQDahsPDA+9++IG9C1x99Zqvbg7k9m/o0UKT8x47DFg7oFEnpzvnBLXRSUqmtWS+ZRm2F62RirodrZWIk7OUfDKlzDKSVIMqGfohmrZk6OAJxmGDwgaD91HnNBja4x6tLCrR5MUUjZKYiFSTJZrL12v+2a9eco6BQ4vtjigCj582NF3Pb3/7A4dS8bN/8hNeLc/Rkwl0g+TmtEdM37I/1gx2wM4yXr35CevVmmlZUZCjB4UzHhOjTfoQyGcTVOblvjQSiDurpmRqFikxTnK6hp7uWLNtG9bPz3jxs5eUiylny0uSXmGdQZk4oTAG23YctgeG4MjKnExDksr9IGYjPtafCuMD6/M183xKmiSkKpHMRSzOdBgf0D7g+56uEXDGG8f+7sDeHOi6HuM9jTXkl2t++g/+hJ99/Usyo5nmMzKdYf2ADUZQW5/i3YDtG1QisReHTcPjx0f2psFqg0sSUCmP+xY1K7hazZmnJQ+be9KzkqKJ+ZoZ5LmmNBm79o+PmsVIiRqPUVODNGwqECn1kSglbi2CsA8dtq1xQwtuiOhuOFF+0PF3oSAwtprEjd0rhfIKVALa4b1s2iqJm3XUH/vgsd5jlcIqQbedt/gE0gj4SGyGocgSzs8WzCZVnAo57jc7Pny85ePtls1WEHalM2yA3ji6wZEoRFOL425Ts9k3tINjcFEP6aWoz5KEt2/fUBYZ3hk5K1F/5JyAMdbGyUIS0Wj3Bc1qGDjUDV0/MBiHcZ6iLEX3TAyd0EkEEeW6iAGDPk0WfTQqGHU5QluNU19n8VbhiIY20bAnllQxwD62DuMAc6RoqeRUXDHSx+J/J9rxqd2UQmzU/Gg9Ur970mC5Wi+4XJZk2j1NvZyjPTZst1seH7d4AuuzNeeXF2RFIYV63NCbVoob7wOTyZTJfE41mUjRBKfgeqeE7jnSoRKtyfOcuq7pup7RAG3MURv6nvpw4P7unsN+L3mLFxes1muqiGR7/2THb53jULd8vLlnVzc4T5yyC7BgzFMwuUwPky/ucWKz+BRnIQ33k3mKNYbt9pHPn2+4vXtgv68jTSplNq14/vwZr1+/5vLqgklVCa0rXs2xEYgvFVkuhvbY8PgorobCMvrCWAXI8oyyzMnSFELMMTMGH6dFI63tj+0Izkjj7B0Bf9JSj9Mj3JNrsFBJZVIYnEgivGkJUYcdzCBA8hdUU+KVUTGKwUWQJSQaHVIZECSJsJi0sNb4osBX0dU5wZ/iGBItzqhJjALzQSbH/TCQJAnVZCJB62nBMDhu7x749d99z93DFqUT0jQ9gcXWicto1xuK3gCawTgOx1bWI+uw3kcTL0+WJrz5+jVVVUDwJJGpUOQFzolc5vFxx25/iNFBkBeZDFOso+16DnXD/tDQ9pKLN53OyPMi3rhEx+AxKkJ+NskMFfDrNFUM4yQ2xPVMniEdpSE65oKqoGV6HJvaEZRUyZfOzvILlZz2IkYycIAxtukJQ5X1UfRyOkaPCJiZqMC8SrmYF8wLRarlvmoHQ73fcXdzK1pSH1it1zx78Zyr5y8oJpW4b5ue42HPw90dx/pAkqQ8f/GC5fqMajolTbNTtAcgdFIruZwyIRUASuvIWojrjnNOGFrGRCq6IUlTVssl87kAYlqnRK2CUH+9Z3c48u13P/Cw3YHSpJk6uZX72JyhFFkao5LSaCD5BQslxLVGniWi0ZYYdNX7PW3b0Hct9UEMyrI0Zb6Y8/zFc66fPWMyrYSpNrrXflGfnLT5hLjeWfb7msfHvcT4BRgGgwKmVclyueBsvYzrf8w0jc12msn7/88x7n+chtrvRDPSyQ2VqBSCp+uO5BnoYbRMFiepwQ4obyFaIwedCjihFYQk3nCyiWgd0eahP3F95STIbi+baiNTpLYmSzJZyHQGWU7IKpJEwl+76Cqo9EDIoO4sXjkWk5x28LT7mqbtuXp1zp//xddMigLbDrTbPd99+45/9+6Ou87w9c9fc3vX0ZpAYwcJ9i1yjHEc64bf3Hym2R8J0V2wdwaFiGt7p9i3G96++Qo9dPS7Db7IODu/RA+Opm14+HjL+083uBzq4PiLv/gFF8Wcx7/5Ne8HR90PfLp5ZBhEsziEwNdvX1Eo6A419rDn+3fvGCYTfvnLX6LanvB4xKEYghcHpu5I3/c4ZyEIipgmaSyo5JwHpUjzjDzJcEpockmq44aa4Sx0TSs0k1JCdZXSWC/GDhrP0Dfsh4E0lTBpneYkhSKvCpKmoO1bqumCxXQueXIyHiDVmsSBMoYsh65paI57fGf5/PEHNnWDeT7jT375Nd9cPoP9wDEt6JqGRCeYvuHu0w1N6rj66jkvlkuWsynTTGiebS0IvPeWYAa6h5pOG6plRaKnDG1D3xh6a2lMT1EoSp2iEk/fdtx8/My+q2lyx6vrt8xVTlaUVOkkuvtZ+qbB9APtoefj7275t7/+jqM1FFVFXmg0Llrre4k50AlZWTCtpiyKKYnX5CoBJw2A8o7gAtabSBW2eG/pmiPtsedwPLLtD6Qa0J7Xv7jmn/yzv+LnL7/mYnpJGEykcYA3TnSneUauMigDk9SRpppur/j+2/e8+90nurWnPJ8xSedocyTNc16+vqIksNlu+embMxZHxfvPdzRKi3U2oHPFZLL48VXlD/GITpAnDtQXqB2MDaNCAtoDYmkq03YVw9E1Y3NJtEEPp2LgpDEJxNw5GCmvJyRUh1PIelAafMxb9E/IbsBhCTglulcY7eXF6VcbS6oDq+WEZ5dryizBmYH7hy3v3t9wd7+lPvZYG+NAUFjnOXYDSaKxNqOPuN5j3XLsheHgInXUxuZkWpZcXJxLTx21SYLgDvSDYb+vqZuWMhubKH1Cu63zHJuWY9vS9WI2gVIsl6tT3p2Ahloon0Fiico8j/FE0SkvWqvHGW8sNgPByccuNoc6BCmMRoqxegJnOf0eC9WxIdRj1uKYZ8bpH4XwNKEUq3tBkxOdgCKyDiyzUvPifMKiStBBDF5Mb6n3kr3V9x2T6VR0OPO5FE4qZnVZCYce+p40zZgtFswXK6FdRhqnc/bpXhp/BD8aImXiGaAS+l4c9YSa5WLkRst+t8MMPWdnZ1xeXTGbzWLhMLpZxhvBewZrubl/5PsPt+yPAy4o0OqUWzg+J+kpP2+cxPLFtR/3+Ai5e3kGjBm4u7/n48cPbDY72q4TvSaB2WzKN2+/4le/+BnnF+eUE6HRjveANCfybPgIaNR1w+Nmx2az4e5uw25fU+Ql6SQTN04lNv9lkVPk+SmmwXknhlDek6QZRVlQVtX/GqvL/6YOG02RwimSwEXNoX+qv+LaF6STieujEzaXk6zD4N2pYSfqqNQIyJxuywjiKOIUTGQywUvMWFDjvaNOE0aQiZXmKbtPh4BWEWzAR73awNAPLJZznj+7ZDKpaLuBu9t7/u7b73jc7iU+pippugHj5D4ZTY+6RJN3hoA4/DZtJ7mvbqS3C5OinBRcX11KcPkXNXuW57jW87B55OPnO7reoNM0avACRXXgsD/wuN1ze79lV8skFKVYrpbkcQJqo0fFqflD0cWmUunROCjG/fDkBB1O06X4GSXOxNKsPDXunHKDZX0bQZvTBHEEwEZyxelyfkF/JTac0WF5pO77+L6qFM6mCeuJJsXizMCxbXh4uGe72eCdY7VasL44Z7FaMV0syKoCYwas6zgcava7LQp4/vIli/UZ5WQGKhEa6+l+lP2m73vJjLViSDUyV4jDkRFMNMZIvFDTYJ2jqiqWq3VkJuTRZEwGJR4BOruu57t37/ntdz/QDeKSLEwTFY3DfNQ/j6aPT07OX971I3AVfDScMwNde2S/3bJ93DD0vUw76xpCYLmY87OfvuXN2zfMF7OIlcq/f3L1Hq9lOE0tzWDZbnfc3W3Ybg94L3TZNEmYTkqS2USmoFXxdN8gYM4on8hH0OBHjh9tFof2IBsG0uApheTaDZamcyhdELySB14nJHklN2YaUENDXuaU02eAotnvCDYiUMFGMXUqblDenvQZBPVkWqCUTMqshDrrWCzr4MDYaAah0GnC+WSK3h+hyEgVhDwlSRWZS2lSR+8tP3l9xc9eXJH2jt1mx+PHOz7c73hQnv/qv/45w/2R+09HKZZCkJFykKiDfa0whwbjHK6tqQexkU+0FCvewXx9zXI2pTscYDbh6uySgpzjsMMNll//9W/4br9lej7n65+84c3VFfbzHv+4RfmYQZQn+Fr0il4riiKn3u5p244PHz9y/pM3/PztN+TGsd9vaPc1Q9RmtIPQdk4ugnHh9mMhFWkDyjn6Y4PNchxOaDhK44MnjQYR2XRKlla4JBGXRu+xzkaE2uAUqFRjnEOrjDzPKDQkbiA1DYkbBFlzBqyM5K0foFJcvago/EB/d+Bwv6G3Lfv9gftjg3lR8Y//8ldczC+YM2PT3ZAtShKd0jY17bHBzXNevLzkxcU1mUrIVEKwgaEfcIPoKI7HI0Pb8uAa0oWYIOADCSVJ6Mh1TqILcbPaH4SaagzHxDP76TPeXi65mJ2jO4/yGm2DFGJe7s9hEMvud+8+8JtP77GpJVGKQpwA8CoIDcM6ttsdaZ6zmixIvSx2xA3aRQQxKDC9cMndYBiOhsNdx+dPt2z7I35i8IeBoXD88s+/4eXqkkm6IPVi9268WE774FE6kHhFs28IaSBPZjT3LZ8+7Pm8a9jbIyQVi8WC+aD58Ol3nH11zSItcINhuiyY7B13n+5pkgH6FGM1rkyYnFX85NVPf3RR+UM8QkRfFZqxjXpqHL9oJUYhCCBVlUZlGamqcGks4J2VjMNIwRyHUOE0UeGL11enzV4FMZU50YdcpPnEokDCfiXw1yUBtISgZ9GUKljRxVRlztX5ivVyjveWx82W79995H6zI0lTlouCzkJrGozz9IOFusFYw7FNmVSiWW5bmQ660UwmGi5476mqivlsJqZNVpgMxgy0Xce+bnj/8YbH3ZGL9UKoTmkqJmcEur6jPjY0bcdgxAQlT1OeX19RFDkyHxuNHVREcjnloNmY8XeK0+CLwjYWPg77dG2DxAKJpX9y2tjj5ThNNE5XWX1x0eIxNvriOCsTgOB9pFuqqFUOUoAHT4rhYlFwva6osoA3kq16rA80dU0IgeVqKZTSyUQcrKO2xQz9aVI3mcyYLVfMZjNxroxh6OG0djjMYGIYtJjujIVgkkoEgY1fk+cZ3jmMkcIlSxMury45OzuP2sTRJEcmHc6KKZ0xA4d9zbv3n/h8t5Gi+4vzJKQU2avKsozFkyboSFs7TUDi7e5FGpIkmuA8d7e3fP/99+x2eymQlWgbyyLn+uqSX/z851w/fya00yQaQGkVaXvupFn1PrB93PHDD+/Zb7cc64b9bk/XdmRpLnQrlaGNOC4WRUEejTpCEL2nGaRIT9KUchId2v/IDtfJ/Reck30IGFEQyTsUPenpiD4UwSkB/hUEK+sTShGS5GkqOaIp42sqOJmFjc9VrE18/Fr9BdVxdEod5wcClkm2qwBHQASc2n7AAxcX5zx7dkXf9dzd3vHd9z9QHxvWqwUqLejtjUyYnEN7uQn7QYYBaZriAnRdL3EwoyHP2GipQFnkLOZCr37SDwLB07Yt799/YvP4yHw+ZzqfkxUlwzCgdMrh2HBzv2G7qyOVX+qti/MzYUk4+9TUIbE3zgcOx+ZEqw4jgyKC/fHMnk6zjqc14NHylpHnUs6/Pmkh9O9di9Erf5wmnlr18VKNDVo8H1ordDSMlKXCo7ylSOBqXvBimTNJDMF01F3D/cM9m4eN6Lavr7i4OqeaTcUcM4kMDN/THBt2ux15UfLs+UuW6zNUmsnAe9wvg7jIEhzD0LPZbDg2NUVZkqYFQWlhYsFJr26tpe86mrbFOic0+eWK+WIZnZh/fy93RiQ/dw8bfv1333G/2aOSnDwZ62m5KYU9kZDnOXkqOsXT2hniehT8CSR21uDMQDtSbDcPdE2DUipmEVvKsuDVy+d885M3zOczRF7A6f2dgM7YhaooD+h7mWrf3W7Y72v6fkChyLOcPM1IU8kfnc2EzTZeY9GtS9Ofpil5UaKT7EfXjR+fLFpL0C7ekCJoTZIUmwaUnuKTiiyfovKC4CU5MQxHQl/Tm5Yi0yQolErI8woTGoIHncxRqQLXEUJCcAmReCQLFuBVeKJHBIXKMlywEKMClOrFPTAV2lJ9u+OnlzPSYPFO4xNFT4LPNUN9IKQJz68vmOmcw+0D3//6Wz7d77nJUv73/+3/jrNh4N/87oFD3UMqTYR1RopkIm8ex9lqzg+PO5pe6CoERRoRmul6jXKOfdvy6s1bypDQH/YM+x23333g1799R2MMs7Lg+nJNNniOmy33Hz/RHo7cjLbyHvZdz2S9ZHm2pB96uv7Ir/7VP+dsNiftLc3mnsebDe9uG1onLqyolBF/IqKlo0hf1opYaCgV1w1HEjeFMZg2qCAc+l7CtQs0fugZgsMEWehyPSHP8kip02Acvus4GovpavqhhzynzCu8degyRbkAGn75J6/452+mlJ++Z7+5oT7suG8OJGdrXv+Tn3F9ccEin1H4nMPtlrrrMM2RSVLQdw2m0Lz9yc85K2akKiFVCj8MeBsNk5ygjc5aPIrZPIdCUZYVXqXMFo66M3SNwU4NfWewvdCojsrx4k++4uXlc3TvKEKO8T2DHQjG4QbLYHt0kpCrCb/99+/4229/oFMuDh08x9ZSpglJEghKMzlb8Obt18zyCtsbkgyyJBPRflzUhHYmC3J7aDls9zzc7rnb7jiEhtVXc67nFcfbmg64OL9kVi7EAEA7odsNoytkIPWavusZsDSblvd/85Hb3R6KnEH1WBxFlXE2nbD5/gPpyyvevr7C7Vv6rOIsmfPpwzte/PlLqu9r3j22WI/YjU8LVsvzH11U/hAPPVLUxmYiNo9j06CCgAU4H+lb4qKpk1T013lKGkq8tZHiIbrqsXlQpwwjCZYHnprA34Pk1alx/ZIaBAHlLAp3mnBJhp/o/LJES66hMRRlxnRSQLAc9j139/fs65rpbMrF+TkuQGMcD/sGO3hssAzO0QwDeaqZ9paqqkS3E4tA7z2RtIYPMJvNqMoCawzWmpNgvm2biLTfcKhrztcz0W9ojUdRdz13jzseD0eafsDFU5HnGVeX5xRZHgsjhTwSCuMCXW/ZbGvazhCCEFVHldpYvKn4sWyrniCJlEIaC4geJxFAMqorf29SIBf6qTE8/ToVwE8FwFjgKYVkLKZazCy8JfGGWQnP1wXriUKZmu544LDfMQwDeZEznS2ZzaZkmdCXvPM0TYcyPmqKMibzBZPpnGo6E1poIOpqZArmnBNd4rGRUjMaVkRLbHHxS2ODaEd3cGFEV1XJfD6nLCuKoiRJMxSSqeujIZp3FtN11PWRu/tHfvh4w+HY4gLRvCEVYEVJJMhsPmM6k8ZXJbEs0WN2ZbzlxxOuNF3b8+nTB969+56+H2SymaZ0vehYq6rkzds3XF1fk8aYDWmUIy0v5nc6J5rK/XbHD9//wOfPnyM9NzD0BmscRV4wm85kvXWSJZnnEuORJMkpl200ccqLjKKsyMs/vsni6Hqq0phLeaJa83uNxJPJVKTcOxfXtGhoE2uxcTo5Op/6SJtTJ3fF6IAaqd3j+gpxejW+sS9GkvLhyLQg6o7jVweFMU4meVqzXi8pspT721u+++139IPhxbMrzi/O2dctwzDQ9T3OK0KiwDlC0GhtyXqDj5PFwQoQd3p7cc3Psyx6D0jJY53oN4d+4O72js8fP2GNZTadsFwuCSHQdT37+sjj7iD0Vhv11s4zmVacna/RWuGdj9O6PMYDBdpu4Nh2Mu36IrpFzuvT+nOaXmmB1xLGWv0JDFOnydfvN4lxlvvFKJGnf6PGLWa8/vIvRuAnSxNSBTp4CmU5q1JerDLOSo+2A/3QUB8P9F3PdDrh/GzF5eWaoiokY9A5jG0JGEKktV5cPWO5PmMynYv8IAgIFZQwF1y8r/qh5+FezLiyIqcoSom5AQZj6PtBHJTj3jRYQ5rnTGdzZvOZmN8kCZEYcTqf3luMEW34u3cfeffhhm5w4vScJKRZGrdjTZ6lnJ2tuby6pKiqJwfaIL4BQbnT66ogkoSmPvBwe8v28YFh6MUMLc8JoUUpxWI+59XLFywWsyepykg/RZ6dL11xzTCw3+25u3tkuztwqBtCUHgvtYpWmqLIqMqCosglJilePwWRRizsjyRNKapK1tgfOX60WSzXV7hoS5sWE5IkJ1UpJWJtm6QyvjTOE7TkzqgUkqRiUj0nzcYf2OLFbB5vBkLc6iVEHkKiUSo9IQcheNFyJbHZcU6KaRXRzEAUYHsSb8hQFH1Hd3Cs1zOCziCXosN0lnffvyOpStZVTrt55P6HT3yqGx6nBf/9v/gLntmeh82Bh8eWxlicg8wm6EwzKEPChG5/JPSGpm9FjOoFLSVSI3zwJKmiH3qKy2ckTuEGy3G75/bDDd+++8ytt5hEs7xYM81zTL3n8/sfaLoDm6Hl5jBAEIFtd2z56qdv0B5CnvGrX/1j5jqFtmc47Hn8fMu77z7x292RXmvJx0lSVGy6g/dRezSi4JCObn5EJyXjo3VygkpH+/Ugfg62p2mlcVRJiktT0nJGUpRMl2ts3YjhTXDy0OkElym8TUi+oNHlSYZGoTPNoprwZ2+ucTfv2N7f0Xc7jvaIvj7j8uULnl2uqMgIPsMdGvb1lsYH2rqlVwOTizXPLy+5mM1RA2KsoQRBMk2PDxbbW2xnafZHjk2LX6SssgrXW1KdUVRTMrWl8xaVppRlwd3tlsfjnvPX57y4vGKWTfBeckOTVOOtnFPvHM4Yhnague+52ez5vN8zDJ4hBJQOlNOK2eWaSVlC4vjzf/wLXl8/RxlQqWx0zlicDRBEEB+CIgye7c2GzWbLsat5NB3VmzmvLr5inpXY+z37rmG2XPLs8oJS56QukHjQPmD6AYcIvU3b4xIoywmH7YHPj1sO+YY33/wU87nkvVXMqxnsOzah4+2f/px54xnKwHSaYmzD81+8JNt7Di6jqkAPFoOTmc9/xjXrD/HQarQWjzXpiDqe6EhemBE2BuR6iwpWGpE4WdIqIeS5FEzWYoceN8jkLSbLxw3lqUA6nckTojP+MYY9KPmqE62VIPclQuXPUshyHUPLRR+jEoV1YurlbE/fdswmJavVivV6xb4WMybvwbhINbTy7a2W6WqSRM1aULFHFv2Oi1Oc8/MzyiLHW2mIpXAcTghq2xwx1kUtnziDHtuWm/sNN/eP7A6ihXTRwTMvcs7O1iiCUF5tdEgOYI2j7Tq2ux3GjpllXwosYvN22vwdKgadOCX/Cyi0d1+4mo6F1EiPPJVWX/z9SBHm977XeA39qdGPslQlvqt5EpiXKatpTqocfdvStg3BO6pJwWw2oZpMyMsyZhwG+rZm8/CATgvOr54zXy6pZkvSvIh5rUKfBFnbrRVDg8P+QNM05HlOOZnEqeIX08WY9yg0Zk7B81makWVZfG251+04rfVR19X31Ieaum7YbHdsdwc8T6+R54WY5qQps2nJ269esFrMSJKnhuBpYjEWPbHQ2e+5+fyJh/s7kiTh1auXLJZrUHBzI0DDYr7g6uKSoiwi6Ck/d4iumzI9MAyRyrW5e6BtjqwWc7K8oK5bbm/uscZRliWz+fxkGT8MA3kmOqjwBSDi4/OgYxTKH6NmUaVFnBKpeI+MmsGosx7v7VGz6AMEAUNCogghgSDeFd4ZAci8idEZIqEIEej/sgE8gW9fNKfy2RHgAb74v4rvQZJutEi6I5jmIkiQpilVUTD0PY+bDdYarq8veP78mjTNuN/saNtWGBHoKHAVgy5roTcDLgTarmMYhhP99PSetWKxWDCdTgCZZFsrLpZtc2SzeWR/OJKmKWdnZ0wnU5qm5f7+gZvbO/aHI4MRx3kX76/JpOLi7IwszXBaiUumlhgXYw2HWiZEsv2MAFU8Vyf6O/E6gfIA/rSWPTmn/j1+xFg/jxPFpwvw5dYzfiP5vvG7jfuV3DOKVCvKxLMsEq7mGWeVJlcCJFgz4L1jNi2ZTicsl3PyQnJavQ/0XUPbDaRFxWy5ZrpcUk5mFNHYKwS5N58YIz7mCDbc3t5y8/kGFBJzEdc86wMhHDg2R5zzTKcVWZpQFAVFUVJNKqoi5sNHLbqsdTbmdXYcD0c+fb7j3fvP7OsWhwApeVGwXM7JMmEgVGXBN2++5vrygjzPTkwVacCl1vZBmB9D13LYb9k9bjgeDigCi8WCshTDTtFDpkxnU84uziTPlgjoRJblSPN3zmMHE92rH9lu9/SDJUlSptMpx6bDOUeiFHmWMKmqkyY7S9OTe62cVx9dweXv0iwjL358rftxg5t0hsq8WCN7j+tqtLfY4YhzLc4HejNEtFtFc4VBKJxJQlrkVNMF1WSKKktCUAw6RQUDwYBK4sLvnm7YJJXsIwS1T7IcZw0hmPjEiJ5CiBEW4w3ZYMkqj+kNQ2tIywqtMxyOo23Ydz1VUaCc4u7mkXe3j+iXl/zLX7zi6yxj8/DIx7uW397X9E6aWxcsqddk3nHY7WisQfsBPwwcB4M7oWeytAVgupqzPD/nYr4iDB3toeXh7p5vb2/has3V8yvM/pHZbEowA3efNnx6/5HHR9GGJsZxsIZmMFDk5FXBYrXk9euvmXqFbxuGtmHz+Ybf/fCR77c1jS7JyqXYxBMLobjI6LhASEEzIrzqhNjJWFuUViqISUYyakm0xmlBNFKtKRKxhU9DgtnuxWI5FVqX904MW6whVxNs12DLgiHLWJQlk1RT6YHLRc7MDrjuSDPU9Cqgry/5+tUrFkXFPFSY+kh92BISz2AHdg9H7IuSxdmM55dXLIqS1BGDzi02urm1Q4ftW7x1NNua7WbPxjQslytB4XUgTXKyVFOqks12x3HRcswPlGdT3n59yXJaUiUZ2jocHuUUGEPoDb2L/Pe6o3488sN3NzyaBkMgRB3F8nLN12++5nw+Z1KVzM5K/uxPfso8LaVRj9QO0/eiXXCew3aPU5ZMZXz33Xv21FRnFa9ffcWr6+fQgTm2bE3DdtujXhWczZdkJDgT6JVF9Za2PhASRbft2Oy3VOdTjruexh/55p++JM+ecT5fc3es+Y1KaG73/Ftzx6u//AlrHyliWhbHrCrIbMb2/pFdUJAm5EE2ojRNcfaPr1kMQ/vkrulEozOKwEcakAQKS5OiVHgqrmJu1cmOPFJStFbR5VQart8fYcnWQmwGn35XT38kGqyQoJRHO4f2LgJt8h4kt060BnXTsdnu6YzhcGyojw0aS5olnE9XrNdr0jRjMAf6wWD9SKmM6LECFXS0bA9YH7DenT72kfZZ5hmvXj4jzxKs7eNkQSQGIdLVrTigiCmAVvR9z6ebO95/vGF7ONL2Yg0/0obm8zmr9SrSbP1pcuaCMFzarqc+ttHOfiyGBGn/kq40FlbjdZLcRw8q5u+dLsF4nv9/0K9O5//pej2h7QoYm6pIz1KQKMSQg0CmHJMsJdOOoWsJVvQyeZ5TVQXVpCQrcsn1VJrgLIdDw8PDlvXFFdVsQTVbSKMSHfrk7cQmNRoIHetadIfGitZQj5So5NQoaq1ODAatJYS5KHKJ+Iha9tGwYaQaGzPQtR273Y76IPS5YzfgPKRJSpIlVGXOer3i7GzJcj7jfL3kp29fM59Nxrd6KmjHEW3wjq7r2G+33D/c03UNFxfnXFxeMl+uSNKctm25v7/HO0dRFDI1sA6UOJUaI8WoMeLmN/QDQ6TtJoni+vpasiR1yocPnyUX1AeKvCDPC7SWHDSQplcx2s/7U9i6itOONJVn+o/tCM7gHOKUHka9Z3yGTw3ik0YOkHMSKapfrnFKa5IsRXlhuSitUC5Gk0Rjlqd7AE4P12n69eUI/8uJWJxoxkm395oQkohnK4bB0vcG8LRdz8PDI13bcn5+xssXz5jE4nl3OEYWmNznEXXDKU/ixanTBzEDsXbMbpVmGURHeX19wWRSYo1MvK0Z6PuerhvEodlaijxntZxD8Oy2ez5++sT9wyZS7S1DpIz74JnPZ6xWSwHRwjgvHZlGjmPT0Q/mybiJ+DVfbh88PV/yuQh6aE8IoymK5umExiZRjcYo/9GW8/SqY2PKU9NJfAmtxaQwT2GSwaKARQZpGLDGghW/iLLIqMopk2lFUeRSKwLOWo71kcOhYXmWURQTZosVeVEBOl4jTveN9/4UG/T58yc+ffiIsYbrZ8+ZLyQ/VhgXPdY62rZDBZhOSqpqwmQ6ic9+HoEG+eVjfIWxA33TstvueLjf8OHjPcemRycZWSba5fVqwcvn18LWQbFazvnZN29YzCYksb72I2XXO5yxDIOACU1di7bSDFSTShq4aNDlnGdfNyRpymK5ZDKJa2d0tSZwYoR0XU9THzkea/q2w1nLdDrl/HJGnudCRb3bYAZDVpaUMZoly8V1WDI0ZbIvzaxMyBMlzrZpmv2XTRb3Dzcw7PDdI3jJyLJx+ndCWL2RjRiZQo03tYoB8e2+JMtKVFpiIv0nycWW3Dt76nRHpGlEjGXBzqiqKWiNiQ5e3vnTzayV2DpP+ppc1XSdpZ0rJkoxdD0oRXtoqbseyp6uM9zYBnU25x/92Tc8C5b9/T27ZuDd/YF9iIVFpD8NzqK15tg0KNujvBOqrRqDmaPjpYasqPjlP/wTLtdrEuMlG29/4NC3TK5WzE3Cb31gPpkwK3JUa3j/2/d8/PwRO3RYYzDG0/aGfdeTzSeUyxlv37ym8g5Tdwz1kdvbGx4ONemzC85UQfW3B6pigjluGWKArtIJY1SqrAfjvBFG6pZ3EpSMkvUTBw5PUBqdyM+o41QQFV33uhZSS5JlYnEfnWJ1IlQv37RYPzC4lvniiuV0ylIr8voOrWpMUnD7XcPSiZNpdjHn4vk1y0wawOEo58ErEcG3+5YfNlve/oNf8eLqiqnO0U7s9J0T2oszA7aXJr47trSHhu//7iP3tmH++pz5bElCJtfMIxEjicZ3hv3hyHK1ZL06Y17NyH1Aebm3vbE0pmVoOw6Hg1CamoHDrub2dsONa3jx82dc/PAZs7dQFfzyT3/GRVmBhotnC56/uuJqcUauUnQANziMCuw3O3wiEoz9ZovLLH6Athx49bNnXF8+Y5ItyHxGa3r84DlsW253B97+xZpSpfhO7Jdt09Htalpbk+YZu/uao6tRTWBwgWe/WLAoJ5QUhN5y0EeyNOOHHz6S/+krzqYV+ZBgNWhlKKoMVQ80RSBfFhQHS+cUXit0nogmadyE/ogOZ1qZAg4dvu/EFt70UWc9TvTiFOrvTSBDpPkQJ/wq0aBigDsxK/FLh1TgaZdWJ02JihvZiBArLXE4WieChhuPNhathG6kFOhECprOGLZ1zWN9xCDh6V0/UBUJZVUxnVTkeUrbGfaHhrrppfE6oY1j8SDMDRfpeMETIy/8qUG7OL/gm69fQZDJjgqRhhZNcJwffVeU6OS853FX88OHT9xttvSDPcVfuJhZtlouWC7mhCB/FvMSMX5yVgrDvjeRURJXty8oWfBUk45D2rE//4/q1XjuI78lTlWerstTo/j7RezoJOojZZwIFiYEUuVIVSANliQYMjTBDvQd6OBIkoSyzMjLPE5y9KnYG7qBx8c9zilWZ1fMlmuhhSqh3uG/pNt6zCC0pvqwp2saydNN0ujWl55yB0eqkXPxOiGOoEmSPWUdRpOg4DzOGPq+p2kb6voY1z2HTnLyvKCsSqqqJM0Kri7WfPP2K169uGK5mDOfVawXM8osiYHs8XR6AV2sHejalrquMUPPpCy4vrxgvlhQTqaiYfIB7xuaY0vbiK370Pcc2BO8w0RTi65rY8NoQEGe50wnU6pqQl5WZEWBMR4+3tL1faRkFYxGUkmSkqb+i4ly1Dm5J7Q9OYWT/7jpwx/ioWJj4q0wH+zQ4foOazqJdRmnghEaGXWMSgsYlmSi82SMvzjR8CKgxpcP2+89eDzNmv9e5yNvTFxzlSjHiWuAtwHvnioa6wyH5kjTtmgNd/cbikwxr3Kury9ZLBf4qPt7eNzRDSYaMUHAifu0Gt2QZa2zzjP6NPloEGudYzEp+cnbr8kSCV93TjRzNhowBWQaqLRkc/Zdy36/Y/u4pT65PdsIRMgzvFqtmMwmMBrXxGdQmhdLO1JilURPjO2zTFS+GAieomAiW4ynJuvLxvKJKfH3P/77oNiTgvHUNJ5qbTln0igqqlRRpZDicENLe1T4xJEqR5YqyqqgqoQCqdNUJnkuYHpDva/puoGLvKSYzNBJhh/zi8cmMQ40hq5ns3ng4/v33N7eYszA+vyc9dkZRVHJGhl1yyMDSCcJk8lMaPZF+US5jOfMIz4Rxgw0xyOPDxvu7zYc6haUZrlcsth3BJWQFxXXl5e8evmM5WxCnmcs5jMuz1YSqxP3H2HDSPRa1xw51rWYRHrRP6/WayaTiiI6qgYPbd/T9z0+eKbTyUnD6mPzaa2l7wf2+wPbx0f6rifPxDF1MZ8xmc5JsgzvAsdGJuODGVgvl0ynE7I8ExfyL1xvhV4efQC8MDj1mA+Z/BcY3BTLM2yfE8qSvtti2wMqNnwqOKkIYrMXCCddjrhceXAKH1rM0IIaF16FHzLScopOc4lvSHPJ/Bjd3UIArwnOMPQNRTWlKOdonUjujNbysFpDrqAyDWWmGDqHLguSPKFvOtIsZ/O4pR8c7Bv+p//53/L2myv+6T/5U66V53C7ZbM7sus01eqcf/xXF/yb/+d/oO56fFCnnLM0gTJJ6VuLThR+kIY1ar3RSvHyJ6/4x//gl5TWYj0cj0c29Z6hyLiaTtn85gM397dkzy7IveL2hzs+3D2y6xpKLAdjOXpP3fU0gyUrS16/fsGiKOmPDe3mkc3jPclqwVdf/QJtA+7h19D3uL6JJF/Rh+q4eHvvGDnrfKlJQEW7YyU3kBLKVqoTRg2BV4HUWRJkUdV5Qp4XZFVOWhbooMiVAi/FtO0H+r5laGucUoIGdzu0fSSlpSoC82mJVp5jvSdUGRcXZ5yVU3JV4gaLa45YN4AL/H+5+68l2bItTQ/7pljKtYfYsXXqc+rIrgKqq8EGDNbsKxp5g7fgy/GKD0Ezwkg0gOoudVSqLUO4XHIqXsy53CNPd2XTDFeVKy0s997h4RGxxJxj/OMXx9sD//Hv/sD8r3/FZ68+oQqS0Pc4TWwSvUciMc1A3Rxp+45+sGx2NQ+ip3qxoioyJpMJ02yaHBKj1sBYR/ASYwOqnDIpKlQIEKIbnvBgXDRVauuaumlQZc79/Zaj8iy+uuZ6UiAOnkleUOSa1fNLrldz1kpRXi94+fwZy9kShUYGgRn6uCFlkq5taWyHtJ6H/QY/EcxWc14/e8bVesWsWiF9iekMzjj6euDDu3ta1TMrFa7u8LWh6xs6M9AejjTtnqyoeNhuuXxZMFt6qsWaxXSJdgUySIJyBBOL4+nzNV/+/FPmViJ8mo4oje8HTAbT1RL7sQGbnPKMg1wiVQ4/wWZR51nU4ci48frU/IwZY6RJvEyW2CJN905dI2lfFSkqQ4whxzo2dGkCKRPda2wURUKvI80wfq1AROc1pdBpWoS3BG8QjpOOZwTXXIiBvPu64dgZhBpo2h7rQ9TXZjKus86zO9bcbnYcmhbrojgguoaPzoMyaV7SxAFOaK8QIFzg1fMbbq7Wp2d/nLIS4lRxGKKdvlaCSVVCCBwOR+43u2gd71MuXorAUEJwuV4xqYpUqI4FZ0JZnYsGFINJjeCZKhrrp8emQadZCCPhamzEf2hc8wheP1VOf9bIw6nLPK+dCflOlZSUoGRAy4AWFuUHVDBokSNxSCHJc02WKfI8ToGjDMyR3ojDbsfhcOTi6glPnj5D58VZ25Wu8ZilaIae+njguN8zdDFoPstzsjyPk7LROl+MNENis2aGeI5OIezJydQlMwhj6LqOJjkHDoMhyzLKqkJnJfXgmFQlk8mE+WzOZ5+85ItPXnF1uaAqcsoyo8zjpM45Q7AhuUcbhr6jaxuMGZBSslwsmM2mUSeT59FYQQiCs5FOuNnikhFI13YMXZes9Q/UxyM+ePJMkxVFROsnEybVJEYRqCyh9oZhiNr1qpqQ5/kJWJAiugfH0Pd4SUOytY/xH+cJ7Z+7HP4Ujmw6jZRRmyF0ig3gzKgKBLAuTe5jGR9cqhukwHcSqxRCxvst5vRJzlOrCPb+sGnk9Bz+cKT1mPotEUqhhECG6CgenMVJH6eKQSECdF3HZrvl2LZoJbnf7Li+WPD85pLJbIpIAP/bD/fcbw70Q2RHuBCQQSJliNIBGRlqbmzWEjvBh9g8EhxffPaKn3/5KcEbemMYtbwjhdfaGGuUpQi4ruto6oa26+n7gbbrGYxJbI2YR31xsY4U/jEb1Y/a8AQGmRhFdoqAEJHxE2NxfGoEQ9I8ngct8aXitC+ddO+PzvEPjxFFG6/JY4rro5el91UCMiXIlSCXIbIMe0dtHdopsmmGLjVVlSJpsvN6FHzADAOH/YHjsaGczlldPSGvpgShorHbCPoB3lra5sCHd2959/Ytm80WrTVPnjzh+ulT5ot5XMcCj+jj0QV0mhymi7I6NUBjIz2e7z5FB203Gw77IyC5ur4mL6YsNkd2dY8LkqKsmM9nzKdTLpZzptOK2aSiKrKoR7SRem3sgOk66sOO+rDHDgatM+bzGdP5gqoqybQ6gTA2RX/s94cYz5JnBELSVFv6vuNwiBmMTd0AgeVyzuXlBfPFIt5vItF6naEfBpq2xfvAdDqhrMroap1qjfHeiLV/wJjowJvl457wiMHyzxw/2iwuZ0t8NWEY1hhe0HUH2sMG3x/wtkY4R3A5wfdnWqMQIC0QHXvOHNlY5EPMbXNmQKgMpTLQOooy8wInRLLpj45vZhhwXpKXGpmLNC7NmJYFvuswzRE99NR+wFiLCAFlAkNtCMaz3Td4ITm2HX/7x+95/vMbnpQCu9tzHGDXWn73h4/8w9sjuppguh5vDEpqpM4pi4LMDxQpgFkXBU3XpSDL+KA1fc/LZ095Npnhj0f6ENhttriq5PNnzxDHmjfHljZ4Zkpx++4jZldTVRXr+ZT6vmHbeY79QNPHZuawOZLJHOE9m7s7Dscjs1fPef3yNeFwZPvdB26//si+bxhsj/UuFpppEYsI6flBEYyoU7xpfIjFsPCRKjeKrYVSMY/HQQgWg0ApgcwEIhPkuU40OAlJN4AgaowGS9sc8VnGxXLGyjX4uia/nDDJJMf3b3lafUKoclbPL1ktVxR6yrBvEEC92dFrD6riuw877jLNb3/5F0x0ETeOENE5b/uIDB0Gbt99ZGdqCIHNuy33fcOTXz7n2fqKehP567LSOOMwXcPQtuTLnLVfcCC6DSpUzKmzBmcSxjUYzGA47muOhwN2GxDrnE9fX3O1WEMn2PkNVZ5RZJrFcs6T9YqFikBK7g2F0oTes2trhI7TBWnjg/vxu/eYzDK5nvLk6TWX6ydIEyhUhnIKrMMNA8EMDG3LsWmRucC3A/fv72AYcKEn5JLBdNzd38NVxetfrHm5nFDpCXq+JhMznAfT93Sbntu3DzTtkerFmousRA0BL+MEB+nRpebqyQXctbx/98Axy/AIemfIZHk20PiJHYvlEjeZxOxCa7B9j+k6zNDHCBkzJPfAGHUiE7sipMII4CwsGXuNNI1MtEASE0HKH27iJ4pQogGPhZRQCpQGpZBOEFTUozjnopt9SGHiVtK0fbSHt47eGNrBAESzkRRx0NUdH+823D3ssM6TqUgJiJEPY7OoyHONSk3zWGDHX8dTFYrPXj1nPinjuUjaCikiANV1Q4qu8ZSFZrWcxdiWPkZq+FSYhBDwqSHNMs3l5Zoi0xFpD5yoYCEhoG0XnVMFnCzfpYx25zI52I5HTGZI4dFqDJEe88XGpnEsrB4Vqj8oZsc3O2H6J4OJU7h77P9RCnIFufToYMmkJ9OQZ4IiV5SlRmfqh+fUOZz1dHXU4ei84PnrTyjnc1wQ6DR5lGkKZFLh2Rz21McD1gwIIC+K6AiYnELHJjek3288V+PPParD3GgOY0x0DKxjnqMxFqSkrCaJNaJBZejtEa0Vk7JguZixWi4oyzzGGYjkyeBdChePjZcdeoa+wyQZS1UWTKdTyjT9kymKwHuLQOKsYb/fs98fIo2qKCPl1gwMXZxKOmeYVBXz+ZxqOiUvIuCsddTsRwZJzG1sjscYgF5VMT4qUYfj5DDtjY8KSJdYBEpFuv1PsVGEGPkQJyI5WZnjyhLTldiuwpoOP0TtcTTpMonSHRuZmHThoz+FsAgr8VISpEq67ceMCc4NC6Nvx/iMydPrSLl/pwmHBGVjNJG1A5aAt1mcgAtB23bsD0eariPXGucc8/mU2XwGQlK3HV9/+5Y/ffM9+2ODcyEBNIEgPVJItJLkWqIVydDJpQiRkIb5nkme8dtf/pznTy+xQ4fxo3NpXINCiFrHICK9G6JRXp9qOOMcg7EY67AuAhF5Fo2g8kwzTha996clx/sQDZ4SWKLkKEUIeAQhpNiYBIVJdQbDTtEij9Y7+WhdOxm38XiJ+yF7Iv7Ted0/dY1prdMykMmADBY3GLp+QGnPqpoyncyZT3OKXKOy+H2djb+jNZbj/sjmYQMIbp6/YH39BLISpEr0ekfwUT94d3vHh3dvuL/7gLOO9XrJxeUVy4sLymqCUCr+5Gki61zMW5zNZsznC/Iij8OQENc8n9xUrbU0TXRfPez2WDMwmc2YzddMp/OYk+s/UhUxhzwvoqN0lmUURc6kKqnKHCVF7GMSENd3Lc3xQH044OwQIzqWa+bLJWVVRm10+h19ip1pm5b9fp8GTkRAL0Rt5n6357DbR4nGbM7l1QXr9TJqGoVIv3ccrjljOB5r+n4g05rJdJIaxXThHj2DJGZMpF37M6j9f7RZPLz5D+RZhdYT8nJOObtgMl3Sp/BpZ3vAxWytwxY/pAlXGDOQYvbY+ZCpv1InDY/1Ea0WCJyLhUPwFm+HOMXQJchYECsswWbxI4+oqQkWGQy9sQzW0B4bnMp4qHumNuPjZouUAhcks+WMz59fYOqaWxNoTeA4wDd3Rw5CsX/Y0Q+RXrC8XLKcz8EYBBLhYpildQ5sLAJJQ4SXn77m17/5BZlzdE3D7uGAWVW8ePYMdej5+Me3/O6P3+I8bO+3uGdXvPj0BcWuxtrAofU01keXzkSzbA4H2ubI7nBPNZ3x+rNfsSinUDd093s+fPue339oCNmEbHB0YwMXRnt4EHgY83bEuSAKSWcTQkgTCpFcVKO7IjpD5hVSZ+giIxMS6TzCGYyR6KqKGZRKowJombE9RrpmPRhmswVrObAQA4PpmYiMCRJbaMgsV89vuLq4IA8Sf+jojgeC92wOW/RiibOWJs959ouvuLq4RnpBSJFrw77FmQ5nY7TDd19/y4f9LaIoKV9e8cnrz1kVE3IjyFZLymLC0HdU5QzTNDHLLoPrT54zHzy5ijRaGcA0hrY5MHQDd29vcVlAzgrkosDS8+mXr1iXS4qgabuOh++2gEAXBdM8Q/Y1oqpQAZwIuGCQQYJMRVnd4M1A33XIdc76esXlasV6fsFicoFr4+JjOocfPKYztNsjx82ePT3r12vKMqPvBkToGJojw94wZLD+bMGTqylXqzVTkYENkRasNPgCW8P7b2558/4DLQMT58A48BIlFE4E9LRkPasIHxruuoZsXdB+qOl9gALm8zmzSUGhf9xi+V/icbj7EDVKOkvasurUqDjrMMOA6Qe8GfB2IFiTFv1R3/PoGJHgpH1CptDg06ZNalDg1Bg+RoJHqlBqMoVQiORKHXzUVDoXsF7hvMCFEIPtTXT/NNbRDzZqaWXUILaHlvuHHe8+PtB2PWWRM6k0SnCesKSmSaoshlK7mDvlnQMRHfdW8ynPb66IoKVLv0tsnKxz7I8N+2ODsY5JVbGcz6ODoI1UMEEs2twY4WAtk0KzXi8TUh8LskiNdCdq1rE+NzKncyMEQp41l/AIEE9rnUoTEKlUmpqeHRkfF0yptz8BaudPpvcNHp/0b+PeJgRoCYUK5NKRSYcKjkJDmSuKLNL0tdYnJzpnbZpkGJomOvs1bc+LTz/n8sk1QqYIjbGwSLTTw+HAdrujqWsInrzIqaZTstKTZflJf+dOlNxEMxKSIi/IsjhZs8Yw0o7NYCJz4jSxg6qqmMxmJ4dUBJE2nCQjMZswNl5dNyRnxECeRWMK72LO5NB3DH00XJBCUE4nVFUViy8dyw7vHCE5OBICfdezub/HmoHlfB5Nm6xh6DrapgUBs9mc9XrFpIoN8gjARADCn56/vuvYbfc4606FfLwHR0fY89c4F5LxTXQuViqZvjECAz+t4/Dh7RlISVp6IRWyqMiyHJ9btDOn4j2aep0ZFiNtcmyc4rOSKN0JkEHE/8sT+JXAmeTIHkGy9GcZzcFUlqMzjSYgRqOUvsVkMPQKVyikF7R1TdN29INDiGRAslqQ5xlt2/Pm/S1/+3e/48Pdhj4l6Cgp0BLyTEc9XZ6RZyo9+SOlPDVHqWi+XK/47PULchWrWK1UnGIRjb72hyObzS4695YlWkdpVaTWewbj6HsTXaqtxwWPkpr5NE66x4w/mZhy1lnatudwjH4g0XxQx+mnEyCSnEHEKdxpqRqbxVGnrBRKpbXudI3Tbxfg7IbK+AYnxgbpNd67E/tjpBartN7J4PDGYHyHwCB1xnxasVotKHOFlOE0JWvbLuYcHhv2hwOD8Tx59pLLZ6+QeRVz2n2czjozcNxveffme95+/4amramqgucvX3B5/YTJbI7UOv58Ia4fZymDI9MZRVVGqQziFMUSDdo8wzBwOBy4f7jnuD8klkNsQqvpHCE0xkTKv3OeTCvyLEs5rAKtdVzPs1hfx+8dp4BtfaRra5QSzGdr1us1s8UyGWSl5tu7JKMA4/zJyKiqSpzzNG2L6Rt222jKpITkyZMrrq+vmM2mSeMaEqAaP7yNTefxEIGxajKlKMvTkO6E3SS5HETKbNf1OO/QOoI8cd/7szrmz44fbRYfPvyBMdtDC0mWl0yWVyxWVxhVILMpUkiyTOCvr7m7vUMiyMuSuj5G9Ml7gm+ic1Z8NCAIlM7JygJjo3XxfLmMtE/jcKanaQ7R6jtYFAqBwhuLkw58j9Yl80lF1gqc6bhtWya5xg0DPQaE4OPDBq80hVYUAv7yl5/yYrqgPVgGZ3n77oH/+E9vuG3g5vU1enPgkEWq0Gcvb5hoQXNoUF6QiYy9znjz8YE+ODRx4XPBIaRnWmq8t7TG4VYznj69ohwcd+9u+f13b/nm/pZ+MKhFxd/827/k89kFf3r7t3w81NSpuOuMjRlHPhZ91aTi6uUnXM8XFC5A3dDc3vLxzXu+eXvL22PDYFo8Fp1n0QioyNHoOBo3/YkeFgtanxCiVMQqQRBRUyUQ5EV8EIJWCR3Koi4xj655IgRc2yNxLMscpKAbOjb7ew71ARMcxUTxxZMZl6InNA2yH/DvP2BKxeLJBcvVkmUxQfYCBkPz8EBvO5rtgX1dEzrH7X4ge37Df/tv/oa5mBC6gc51CGGxnWG/eWC32zBYSzeD57/4OVVZ8uLmKVNZ4pvA4bjB60A1mWGaFk3A2yg0V5kiL6JTV6gDg685ti1Dv6dzBtc57vuabFIwdZbV9YrPr9ZMsinaZ2Ch73qsAqMVsiwxbTSFyIwhr7LEn5cMbYuxNQHH8W7PodnDVHLx8ponV0+odEWuCjCWoigZGsNgGpq2wQ4dXd+xezhSHxuu8yVzPaHtj7SHA/3QMJSOTz57zbVw0WExX0TKkPD0dU8vDcHm1HVgczxy7Aecj4XTECyZV+ADPniqLEc1ho/tHZ9++Rkf/sMbdtsjXSGZL6esrtasZjNM+9Mzfdh9/zUoRUjxAzLLUXmOUgUqy5I7okLKErL8B8VT3IBH8iP/efP3iBY0zn3G142cn8c0yfFzUkjif4kuFaHU2LiEgPUCG6KLpXEOl3IdnXcMJmYkGheo65b7zY6PdxsOx5Y8z1kuS8osI+aYBQYT0V/nwCHpjaUbIn1qdKWT0nN5seTyYoEgRuvEWiNgCbT9wGZ/ZF93uADzxYLJZBInTYnuOJhoY993QzLP8RRFzmqxgJQIG0QAfDS78Z6+N+wONYPxsahUOul/kslYAr5Og90QCz6ZJhaxcdenwOZ4xjkXT+n6nQ3LEu00MWJ88IggCC4Fv7toliNlIFOCQgcK7SmkR4lAkUvKUiVzgVGfKPA+RF1601LXDbvdgabtWV1dcfXkKVlRgZSoaMUQo5v6juN+x/39PW3TonQWsxlTqPRgbDoH8mRW5H28Zj5NJ8qyjPmVIVr69300o6jrI/v9nqHvUUqxmC9ZrFdMZjNUFp3xnLW0naXtBkCSZzlSquhAWtcoAYUSTIqMoCLk6G3UaAVCzN8t8hTRkSenVHmm/YVYWDrr2G+ja6AQIrkMRufUYegJwTGdVKxWK+bzGLGB4GzE4n0KJI9mH/WxZr/fgw9xShs8zoY0yQmnCb5PQI81FmeiqYhUUSscUkH6Uzvqd9/ESYIc17oMlWURJBYCKTVCZZwiZR8b3oSASMY1MRogPkljS30qTIU8/T8CYI+p3GeYZiSLIyVSxzpDJeq/tz0MHSakZtFkaC0T4BKnjNZ7tJZUZYkLgbcfbvnbv/8db97d4RHkeUFVKQiRQlmVUTbiXVx7usGegLJxAjWuKc+fPeHJ9ZoQLEqBQGFdwHjYbff86U/f8bDZg1BMZ1Om00mackVvj26IDI/e2Ai+WUexLLh5eoPO85SJDcZamralbnruHrbsDjXGg5AardJ9LSTCy3g/yhAjJ8drkNgqQpwBSpkmkudu4YcTpsfxGT/ExsKp/ow1TDR7kwSUUCjhkcGDG/CuR2aB1XLF5eWKssxRKX+x73v2+yObhy314UDX9SAk66trnn36GdPlOkaZpFiWvm3Y3N/x/vvvuL39iJSSFy9e8OTZU2aL5cnFemScjM7cPnhMuh+k1pRFgVaR9eeTUUxsFA2bzZbN5oFu6CjKiov1BYv5nLyMhjOE6CJ+bGIuY5ZpMq2QIu4B/rS/jKBiODmBIwLVpGI6nTJfLKkmU7TK4h6VQOVRdhGIhkr7wyEOn4Cu78D3dE2NNYbZdMLFxerkOi5EjPcYI4PwcZ211nGsa+4ftvTGslgWKK1OYGY4/8DpWsfpd9tFyqpUOjKL4Az+/DPHj1d9IT7wQYBFYOxAc/cGtftIPl2iswlFNccUGVrANM8Y+gHlehaTEmM9MtP4MGPoDMF5rA2gFav1gkxpbAj4IJhVFRqF94LODqhyzWAs3rUE2yNChpSKIgOEx0vBcRjIAI3HhkAQAZlpbEJUW2dxRJG81JK+HTi0EUF8+/Ubfvfmnt/d7nn9+Ss+f37Bi/WUbuiRwiN9wHnLVFk2ux1b4yLfKLi0sET7eu8ti/WcstQ4Cdefv2aWTzB1ze7jB77/5j3fvvvIvu+h0Hz+i895upzRfv+R4+2HGPcQAl3b463HCxgGy8vPX/Hrf/VLrhdLJkHQ1Vts3fGnP37Dm4cN+0LTB0s/DASXEOTZBDXI+BB7TVmWeGcI3mFDTLJUOhpw6Cw7IXooRSZ0DBktC6SOG3UmohmCHzzYPiJdacr7rmsJxtHVR6wdcFikhGdXcy5ygTnW5N4wFRZhLf3g2evA5HKBGjzYjqGJqNPmYcOhb+jbhrd3dxwnJT+/+oIcQd/U4GKWkxsGDg976mbPXX1AVRlPvnzGz7/4AjEoTG9QHuxgMB5kpsF5Mplx2Gzpho7eDmilyYJHK0kYWvZdh3eOvul49/YdvfCsP33KzXqFC575csk0X8AQi3Jz6GmbBuvAociyKkaXYFEu2kZHUN7Smp62a5HaE6aSycWKq+tLZsWEMptSZRXCBWzXE3TAdT3O9Ni+o28bbKIY7I+3bDea3zd7XG8oFhmrV3Nev3jGdblGNseI8nt9CumWUmKMpel6XFBUpUIHjwrxPhsNqTwBG0D0A+0Enr9+Qff7O75598BRebTSVGVFLjJcF2h37Y8uG/8iDzucQqY9giAlTmqCjI2jzvJoeiE1Quv4Zy3Pxc/4v9R4nClsj9H3+FdxKq3CSadxQt8f04GEjBE0Y05WKoqjMyunSZgLsTmIxibRlKbrhui0JgUPDw/cPuxouyEJ9KdMqzJugjai3lpaejwDaYKW3BHHMjAQQaanT65iPEKaKI6fdc5zrFsetnvqOt4f8+mU+XyC1iK6dzY9TTvQdAZjY9FljWVSTVivV+gUbH+ikYqYpdgPhrrtsCGkolKTnQq7R+f41PSd0XYh1cmAaGzeH5ML42seF7Dh/HGi7gTGoOU4bUkUVAFaCbJEQy1kQEuoMkmRK5RK1hM+ucsaS13XHPbHaPRiHfPlgqdPn1JWVbxvfCAEg3WG+njgsN9TH49Y65gvFszmCyazGVlRIISk63qGYQAhTu6xpygI52OzWFVonWGdw5hIr68T7dRaS1EUzOYLlus11WxKVkRbd5/ccntjado+ToZlNG4yxsT7Kcuwrnx0RwOJlpfn0Xk1zyNNdAyvjgVTNMXz3iUN0cDDZsPxWEeKYKZTTEGcalZVxfpizXw2payKOEX1LnoYjIWbkAQrGIzn/u6e7cOOEEKcCDmLkKmh9pFBMwa+hxAn33HNFKcp8Ngc/dSO4GzKjU3OpwJ8YhikjStRtiOrAZHWqfH5CT/UtkXQKD4rQiTWVYrhisc4vYtMpzTSjX89gWwCobMI2LlIC/bOEazFCZIhVjhZWsQB26jViw6P93c7/vDH77j9+IAPPhbc6yWzSZVeG9dla+OeGB3kU7ObmouxEckzzfPnN0ynVaQuM/a8grbt+dM33/OHr79jXzfkecblesV8OkmOvdEN2tj4MbpJO+tYrVY8ffoMrWOkjRkGmrrhsD/Q9oa2ben6mCUrZTJaEiJmKSajuR9IA+AU+QTiBI4JqSKzRIz0wvMaF05/S9OndG3jOSDSrBKDwie3XCSRf5YaSOcNGs9iWvH85pLFvEIpIASGwbDd7Pn48Y79do+1Fl3krC8vefHZ51w+eYbSeTzXdqA97Lm7/cDdh/e0TXJIfnLD+vKKvJrE/sPaZLI2Gq/5s4tzmuYKEetbpTVBgHFRJ3k8xoiTzXaLELBar7m8vGI+m6FTLBEBrPcxJuhhgw8+0dvjFNEae9Keeu8J8nw/lWXBdFpRFEWk2OcFMoFNwRls2qfHWJZRq/jwsKUfDBPn6dsOPwS0ElxdXbBaxRzePI8SvUilfrTWpefDGsvD/ZaPtw8Mg0k07kd00tP0eawjiPmTvTlR7SNo+l9f6368Wcwn6WaMxZPSBciSvKoIQoHKMCIjoDHDQNd1eO8Y+hA3y6xAiOgCN5tomrql6xusd9T7I5MiR+gcITXH44AQKVNKTphMCipv8L6i6wb63uJDx+BMDDWeTymkZDA9wTlkAOEC++ORqiqYTCr0VjK4SB0NPnD/0PD9uw0Vlr//7pbvNjUvv3jKZ09XLKSFAgYp8DqnrQ37JnKyERCkwPh40XRaCIUQZHnBfLFE64LJYs1MV4R2oLvb8u0fvuMfv3/D33/3PXsz8Pz1C56uL+Bo2G32PDx8ZN92HJuBpre4AINzWCH47V/9hl//xVeErqepG+rthg8f73nXdTz91c+4Og78f/8/38XFUytyocAZnFYYMoSKWW9S5AgR3UoFAq00WsVA3tOiLlSKdggYOyBCIFMFLhiUkIgA3nqQARsCTghcEPE9qhLROegHppWmQtA1PSsNCxNzGPuioF8v+eK3v2FeztGuwe52NPs92/sNm3pLbQZqJOtfv+CvP3nFbHFDJRQy+HjP9ANd3fDh4Z58VfD85UtW6wXzyZySApUXDCZSn/qmYxh6qkVF37boIE9ZYz7lNnZGUD6bUkrJ0Pc09ZGuq+lszTDLWF7NWM2X5LIgUxkyaAY7YPqOtm3Y3O/5xz+8w+poQoLSBJ2TZ4JQanRWMbQdIoMir6hmOYXW5EXGtJghnIiuojbgbKQTDH0freCdwXlDd2h4uNtze7fldr/jtbqB0jF/MufpzRPm5YTVdM3EKIzL6DtLoIW+xQ8dPi8JsiKrctjDd//0hrvdQ9R5ZRlSyGSfTnKBFSyqCWHTcXc4sPUtRkoKXYEPHHYtYqixg/ixVeNf5CFkBmOhSGogpIzNotInO32hdCxqRuQWGGmnsb5MmG0qTsYaizT9EqR6CRhNZMSjNfrxch3+LEg5FjWJBhbGoiE6G4eQ8lHTu7Rtz7v3d+wPBw6HI8NgmEwmrJZTZpMKLRMV1BM1Qir9SiL+XMGP+U7pZ3ExQ/T5s6eUZUZIJjRCQHCefhi43+wiKm4jPXU6ydEShn5gs91zONY0naEbbMo9i7/XarliuVwkVkU0ohpB8BCgGwaadsCHWAxFaV5cG0LwYyn6g2bxRM9C/KDhPhW8jyjBPzjz42YcouZ+tNrn1FjE4lKIxLaRqVHUkEtQHvJMkicao3Mp8sHauI4fj/SDJcsLFusJF1fXrC8vUFrFvLVg6duW435LXdcEBNV0xpP5PDaJeYnUUa9jrUMZC8RGcaRnjcYko7On1hEYtNZiBkPXtXRdh5TiZAYxny8op9VJ+xjzB6O28Vg3NCkkXOlYjPpkxGFtjM2SY8EqBJnQiDyL4FWm0Upx1oSep8Cjsc6QALGHzZa6bc+TARfvo/ksRg3M5rOYDakE3p2jWpyLzBhENPxom567j/ccDnXa4+KEVCSNZCDVz8RnyNmoU/bekans9PP+BPtEAPRkFtcyETXRQo9GNVn8e5pIjf9Pp2rs8YAUSTPOBcU4MRzxldSOiHDOhw1AeuKB1IDEG/Y0cZTnDNRTc4mPbAfnT3EWowGX9w4vFdvdkX/4/Tccj0fevf+IEIonl3MuL5YsZ1O0kjgfDT2MsQzJEOU86UnGNoBLjqWL2YxPXj6jyBTBmdM9a6zl492Gb9984GFXY11gVVVcXqzQWtF2Ld0w0HZDai4iJXW8566vL7m6vIjDcGfou5aubSONMsuoyjKCK0qilQYk3klE0odLJ85rUFr5TgyWwInmG8bp7p9NFE/nlrQf/RmoGXV1CRjzIV2ztGf56G3gSXT7QnK1nrNeTMhUZE4M/cDDw4b37z6y3x/i87tcsLq85OL6hvXVE4TO6IceZy3H/Zb7jx847LZIKXn1ySdcP31GOZmC1GeGhJA43KmGezwNHX+PcbIaAGMcg+k47A/c392z2+3RWcaTmyfcPH3GZDI5AbMxLihqTR82W/aHGoE8RRAJITDW0vc9Q99T5opcqQRqVSg5jSZjyR/g5LR7omsnDbczWGNp2o67hwe2u300SAoBIWE2m7JezZnPp2maKKImMWkyxyxhPPjkr1HXDW/efuDufgMBlDw3gKcr/niiHMCYuB9lec6Y8zvmBv/ouvFjn5SzKwjR6CWoiFIokSGyjCLP0ASUEmQ6w5PhvCLIRGOQGqk1Wki8VzgpycoMkPS2x5ieY+8phEQEEZEXOqbSU0jARxvY3nqsU+RVhRQZEofQEiELtM7IqiV9ACTkeYxIyHRGnitMH+MzImfZ8t2b95TCs6gKPtaG+dWCf/WLZyxDSV/H7xdCoJIFTRhwwdEPnnbwGATtYGKI9Qg4C8FsveSTz19xfXXJNKuwbUe3O/DmzVveHQ5s6po+BBaLGbMqZ1FO6TYN+/s9fWfZNgO3dUPjLBaB9ZF++vrlM8TgqB82HLcPeK2Rl0t++/MvqYLgb3//HxmCIp9W6ADYAecjpVeK+OAGMZZR8rQgBxnRKZVMIWTSAsq06gskKshowa41xsUw2cEkDYNI+VSBqO8SEpSmnFVMM3DGY5WnyARKBhpd4C4uefrz11xXBRwaTNtyeNizufvA3WbLwbeUTxZ88uo1Xzx/Cr0FXcYH2DrsYKj3BzbNjurZkic3VyzKilxnzPQM3xms73HDgG07bN+hdHoyguRw2BGIYcFZpqm3Lb3rWDQtzb7hWO+o2wNikvH6tz+jmkyYV3NKNcGbEB2vvMUbi2lieOvDtuG2brAClIoTcRck1gpcKHDE7EW05MnNU6YqZzADWZlTZRNMM2BNj8zjJMD5mBPaG4OzDrxgf1/z9ffveVc/IHLIypzZ5RUvnj/ncrIG78nR4HuUjsHp1sX8RnA42+PzCbaTHLc9b9490LgegqXMNMoHZBDYECkdKsD+YYdYT7h8es181yJKzWwyIZMK2xo29oj8CWoWVTWNGWJCnig9SIXQWWoOU6OY6IwnVJexGTzTRx9PpcZCa2x8xslZGsE8ahbPC/VjSuuI58hkqiJDSLbyRJ2HDyenv0TyByHoB8O7D3eUZYEQIVL4FjPm0zJu7CNinL5HRLFlbMSsPxVQp+YKz9VqkQooDXYgWdTgrOVwqLm933BsOqz3lFpSFBlD33P/sOHdxzsOTU83OAYTNZc+QCYFV5drFot5pJeKGMIthY2TJ+do6o62HwhBoLRGJ0pn1A6eJxixWQrn/o4f6kJjbRX+TMefXhxSuRhkavijmUfUlp4bxvFLtRhNbSCTAS3iv0kpyHUsJIJ32IT+tm2knlrjosZqvYrZWvMFKs/jGlvXdG3L9uGBrm2YL5ZcXF+zWK4oqioauDC6mDpCiGh3n/Y5IRU+iOgoy9jUylODNhq5CCGpJtFavShKJpOKvCiTvjOBEt5jreF4PPKw3dIPQ/p8bCTH+1RIyHWka6mky1UyXqdMj/rSNMdID4FI+1PfR/12Pww8bHbc3W041i3z6TSeY6WYTycsFjOmkyrGNQiip4F30VQtNeMCkdbRQH04cn//QNsNFHmWnP98AkTHxlal2uBspERIEo2TC+po8vHTOtRkEX/HdD2FkmltU6eGTZxMuCQjVDUeIvlQjKvgie7G42Yx/T8kBoIPiESvHtfHaDgTTk2OSKZO5yGHSAX7efJ1uvPStM95z/fvb6nbDiUEZZHx4vkTnl5fUJU5goAx5mSEYq19NKVK1PVH/avzMUP15mrNi6dXaAGGuM4OxrDdxYZ0tz/igqfIM2bTGAzfth2HY8N2X7OvG9ohmi5aH02TZKa5uLxgMikhpQlIIamqkrwoMC6wOfaJSqoRKqAYnbbFae35gfHM2DSOpV4CxmKeYPr8eEJHpCQQ1wg5Po+ptUjvOzbQEOn2cR+KjX0QAYRHS8G8yrhYTimzmBXbW8t2s+f9u1u2mx1SSdYXay6vr5mv10zmK4TSDMOAMQPH/Z6Hu1vapmY6m3F9fcPF1ROKyTSZ+aSmHnem2KfJ7+m5TOuJSo1d8FFO4b1jvz+w2+4YBsNyteLi8pKLi0um02k8Rwloss5ijKGuWx42e7reMGpuVdrXnbMMg4kxKQS0ivtbpuWJMTGub5H548+NoouyEGPi1++Px1MGp5CSosxZLRfcXK2YTiuyLLqYRhZLYrOE8/0q0nsaY9luD7x7f8v+0FJV5cnlOgROvnsjMBqI4KVNmZ+jvjWSDMKJkv/PHT/eLE6vUaJE5WWSL6dCRUVHpKGp6bFM8oxMSqZ5Rmdj/p3wHucGnI0Ltccn171AVZbMFhcIkaGljk5AIWCCocoLMi3pjMUrA70B1+NsS1YUaKGQmQIvsIMlS4igVJLppKDKNXmeMaviNGQMTlYiBkP/w9dvKTLN5c0lf/X5DWshMUZgbCx8ilwBHtP1KCHIqhw3DBDAmBbjovBXKYnONZ/+/FP++r/5NYssJ3Q95tByuNuw3de0w0DTdYBnNplQaM13X3/LTkh279/x0LbcNh2HRJv0RCqN1hnr5YyuPnDsa548f8FiuSQXkmF74P6bt/zhm1saVZJVsShxPTjXn0vO0w0yFpkJaUqLjQ8eHUDIeF10rtB5BUQHq2Ho8A4EkaYqMoUuC0gWyNIHjG3igicdZSZROLQUqAC99bQhp59MmFRTLiYlxbGhc3FC+LC956HesMt6ZtdLvvriU26WVxRGsR8GTO7wztDVNd3Q0AvH8uUTXr58yaKcIYboFkpqJgcf7Yvb+sjucECupkx0loJwLdb0eBEIg6NtLYsnl8jecr+5o88Ds+cXLFZLltMlhczJJGACwZhTMHhwEa3q+47docEriRIaKQPWBLwNdMFjppGqleeaYj6hykqwjkxINJLQW5yJxTDOR6qNcY+s5i2H+wPff/eO2/09rehxheDq5Q2fv/iUhZ5QIPBCoFWR4lxc1Kye6DTROS1Tmvdfb/iHv/+e7z68R0wMwpqEUKXN0kahthWKYlUyL3Ie3uyxumBe5DEeRGcgHDKHosp/dFH5l3gUs/mjQmnMUVQg41SGlFP0mIp1ppPG4wzePqI2inPTF1LhdG5OxOPKiFOL8wg5HqlWo0blFCyf/n9GBNN0U8Xva6xjd2jojWUyrbgoc6oqR2uRpjaRceGDj/R9QUTgVSoe0uYUFwyPFPDq+Q3Pb65RQuDGosJ7zGC4f9hx+7Cjt1F3GKlAks2h4Q/fvuft7ZbWuBMtyyUn5Wqac30dQ6+FFAg/NtmxYYsNS0Pf21ToK6QiTjZPVLf/3LnvPGN9dDyuiX7w2UevGoHAtNnK8Xo9uo4I0MkwI1MBTcxalCKgRWy6Q4g/e9dHLXN0iA1U0wnzxYL5ckE5qZBaJROlnr7rqI8Hhr5jvb7g5sVLJrM5KtGaSAUUyWBnpFi1TUtexADm03k43RfJUTaBnFIpyuTul2V5lB7kWcrikj+4Nw7Hmg+392y2e0BQ5BmBEb2PU9s8y2LRlEU9mZTRaVLp0f31h+fcp2ngMPQxi6xrabuBu/sNm+2efnCsVwXr9ZrLyzXLxZiVNt7rNjkKJgDPuUSLC3gbHWbrY83xcMQYi5IqgX3nAlMl86nTuIzkFCtI5+F875xp4j+dQxflI4dmmZrGs75XjOcgfZ5H99T5zJwBLU7/Fv//mJ4+rlHIMwBz+orHuNrIoEgsipDWYa01uQrRrXyEsOTYVEYqa9NGd/RpVTKbTVgvFyxmk/QMRhqzsRZrzoXy458/hFREuxiFoETg+bMnXF6s4tcOUWt9PLbc3d2z2x8IQFkUFFlGnmds93t2hwOb7Z6Pdxvqto9rnY8fyGgOdXV9RTWdgAyoTDObTynKnK43dLua3aGmbvuYBZmexzEyJM4+ZUweOAGM53v4ETn4z/v180cYm8F0rR43kI8AzfFaPwbLRsqqUlBkkvmkZFpmBOfonYm5lncPHA5HlNKsL9c8ff6U6XJJVkbDRGsGzNBzPB7Y7XY4a7m8vubJ0+cslhforIjX/kSlT9PgYYhNnbW4NFnUyf15nAIKKeI1TKBb07QopXlys2KxXDGbztBZDkKdWBgxb9HRNB2b3YHDocHayFSQKc5qrJkFkGlNkecURUGejUZCjya3Ipz0iSOQZYaYMdsNPcMQp5eb7Z7BDKxWK168eMazp0+YVnENFYLkeO5ShFeiviaNJt7hjKPtDdv9gYftgW6wZPk5/uW8gY0MGnmqQc6UXZ3WQRKl9/9As6hkgdZ57LCJKHnwFm86vBbk0zkmECmaIaJ7uZSxCHEmWst6h/V9dLVzA2VVYQfIfLScD2mdCEJFS/omIKYTlMiZqBwxyTi4nqELUbsmA64NoAVCC+j2WOfRGpQWDP2Amwm6tmOz3eG9T0HEioCPIanO8WqiuKgUzXHAIjHO4o0h95pN29J0FuM8i+UCYwNdP7BPFw0iDaNQgv/mr37DVTXBHWMg/P237/njN99y7z1qUkSOV6JYHOuG/f2WQ1XSbba8P3Y8dIYhUbKysuRwbJlJiQsePZ3w/JOXzPOM3AmG/Z7jmw/84Z++59uDRc1mTERH3zWEtJgKFZ966SKt1I3TCwF6TD0YnxQJIQics9CBGzxOyET30jjdQV5Q6BwZBM5YtIAiywhKYU2kCVXKUfgOHSKq7vBshUbkJbPZlEyBlJ52d0QJS3s4cuxrwqTg1Ytn3FysuH7+BWXt2d2/oZUaWTqG0LPZbRnywKdffcbFdMYsn1JIjRUDHoExAwIXHduswfWG7tAScsV0aVEmuooaZwlFpN4MJrB52DN/rplczVjMqpRvuCBTBaZuozw1mWxY6+n7AWd6sJ7u4GgClJOczjlEel1nPUWlCdZzbFouXj1nqkuE9ZEK5hTCwWA6rLfgoWsGnB2w1hCMxTUW0/W0+4b37z+wCQe8cvz8r77il19+wcKW6ODQUsZNL0QIxw4+6jELhcqn+D6n2RuObzd89+GB+3pH6xq0EQRrUtFu8YOnaXsGGbicL1jN5hy/u2PLEKcjJmBzSxEU5VSzuJgymyx/dFH5l3iocpIAFnmehCQTiNFZ86T9kAIZRtQc/rzZOPcqY7OYmr9ETR3zaRm/dqQ+ps34VETx+OPPC7XzbFOkBiXT0XlzZI8a65DWUSYEG6JuhhCiQ59xcRlIbyVFODVpIVHACB4RHNMy4+dffs5qPgMXGx9B3GCabuBus+NQd9iQHEhVRtM7vnt/zz99/Ya7bU1v4xR0zG4MwTOtCl4+e0qudcodi5QbnMGYgbrp2O6PEe1NDcrYRJ92v7EASoX9Dwup8X+PCqlHf/5B4zi+lwinAiGMXz/2oQmEizEjoEXUKcp4WzxyPTV0DppjE4PhtWaxjJrDalKlXC0RJxxuiHrCvkcAN8+e8eTpc/LJNDJFdJaoTSHFFUX62maz5f37D3T9wMXlJYssO/92qdBySZOHiNo9nWmKvEAnB1X1OAc0RNqpMR2Huub+Pkof+n6gKGLDaly0W3fpHi7yjCJlPKqEsqvRBXMceIjziQ4hmtZsHh7YbR6iY2Jv2O321E2HkIrr6yuePb1huZhRVVUEBULMHyNZz3tr8PZR4+jiRMEah+mHeG87fwIlxtiMx7ErMnX+YQRiSEYh41MXxKP746dzqCwjOiw/1rhJkPrR38801D9vmE/NoOA0tQrjn0lAE5wAp1OxHcTJKCec7su0qp2e4QiaR914tPXXOiQdVgwUP5tUxe/tgo/aVSIoMgw9XdchRKRqD0M0ArEuggoAUkiUDAiRHIfT561zVFXGqxfPqIqcYWhpu5a26TnWTaKLajKlyJPTcW8sH++2tN3A4Viz3df0g0n3XvxdfIDppOKTT16R5xlm6COtVEmEFfTGsNnteX/3wKEd8CTQ0vtHe8X4e6fZ7gloDOncpOxfOU4Gz3vKeDxmrZzPoWe8oKd9Jj24Qo6wUGRVxPgMQaFjLJCAGPVhDYfdga7pYkTOfM7V9TWz5RKdF4Cg77vY8PhIyc+05vrJDZfXz5jMFpG1kybOzkXDqb6Nua9N21J3Lb2xlFVFWVYoLaLYlngfeR9om5a2bQneMZlOWa0umEwm5EVxiogicALE+j4CbvcPO27vttRNi5SKLCPR8eN5VgKmk5L1csFsNkmur+dJ+QnKSBM66yLF3g4DbVtTHw+0Q0/T9tzd3VM3DVJKXr98xuefvmIxyaOLrE+U1XF98/7cfKbpuHcOZyKI0bZdlP+5SLMe9/fx6o5r2WOqeAix6c0yfW6GvceLHzfz+vHJojW4ocOLKA7PdLQgDzIjyClCZhSZohRxyueFQFdRS+IscZroeyoc81mBDBphDc3xkDIWS3xW0A6OwXZ4f6QbGtq+RohAJhXzqqISDueP9Ichug85Q5HnMMmhPcQxdQCQ0YTHWlpjaPpo155nEiUF1iTnKATTPOfw0HEMkFUeb3zkALctTTtQ95brlzdoCXNX0fV9sjJPm573yCzwF59/htvX7B+21J3hPvO8+B9+y+LdPe1dzTdBIL1nqBtcryjzgqFp2Rxrjn1P1xs8sFhdxDBi69GZ5he//hWvX7yidBZ/ONJ0LQ9vb/nmT+/4D394x/ujwrg4pQrOYWzHqN/JUrHrUmCr5zxOj81ujB0JyBhGPjiOTRPtiAWgFFVZIX2eLJojJVWoDJ1pXNvRNgdUljEtMqbSQ7CoTBIySecEhchZTUpmuWJZSHTX0jU19e5DDOaeTrh4fs3LZ9dMZYV/OLC9r/GTEpVNMV7QB8v0xRM+f3rNcjIj9yATCu8Hi3CBvm5wwtIfOvp9zebjjj/8/i2bfxr47V96nl6u8FhkpVhcXqKdpt46boeaQQlefPIpkkCOIBeK0A0RvTYB5cAZi1KSMtM0+5bvfv+Of7jfIKY585Dj9h2gCAI661hnE0IBi6sl03yKtBKho3uZd4HBdVGrGFwq6gzGdPTdwObNgTffv8drhzOeyXJCdthz+eKaf/3bX7AWUzIZUBKkFxgbsMqSIRHaUWUZpg7c3x3obOD+Q8Pfv/2eV7+84XIo0f+YtD4qbs5959BDNLBgollPZhw+HsiuJqw2mv2xpiNafutMUQmNsAE5LtA/oUNmSSOAOE3lY7GkTpSUSMlKBRQj8vpfOn6IvI/UrLhxw4mHeqLS/GB9P/3lBLinpm00BYmNSXwPyXkqmKWoBpPCn2EMLI4bY6SSx/twnLbEX/5RN8SZ7hPS1wrgxc01f/HlJ+QaBhP96Ec78Lbt2O1rBuvi+ZESh2RzaPl4v+W793cxPzakhiQIEDGy5urqgpcvniHkWcNmhoFge5qm5fZhy912T5+cKoM4n5jzrOFx8/dnDeNY9DCiv+em8PwR6afnEPFwur6jh9yjb4uWkkxBJjk1jfGapGw5YkNkzEDbtGRZzmq9ZnmxpiyrZLSSzA5c/L18CGidMVuuubq+YTKd4YUa+3UQ/jRNM8PAfrfj/bt3fP311zRtx5DclLNM41KOV9RLxgJASkmW51TVhKIoYv7mIz7uSOvtuoHtbs9mu2O7O9C0LVpn5EV0QA1dcsgNASVj7mIxaqxODVg8rWKkRHnPOGHq25aP72PQtrUGlWUxYmCIsUGXyws+ff2S9WoZs9KyLDljxjB07wzODjh7niqO+jPvU55d8InqSgKuR/1VfKpEim4Yf/8RfIiAynlq+gN+5U/okDpOkklr2mmqfHIOHv8er2V03A/pmRPnRS81kqfIEuB8w8Z/H6OFQnrGxvUlrrGPaL7iPI88ranpeQ8jrRLwIl0dmeLX0o+jZCyI+2Hg7mFH8J4ij+Wtc6lZ9NEtWiW9mVYS60PMPB11Yd6xWqx59fwJ3vY0dU3dtBjryPOM1XrF/fZI1/c0bUeu071HoGk76qaj63uMTUAN8f7y1nJzdcnnn356Yv+EAG3Tst0euNvueH/7wGbfYFyIoIvzkQ31aKmKlyKcz+npXD06r6eLJhA+Dg3Gz58nu4/PfUDERebE1o9/Did9aGwUBbmWlLkg15Giao2hx9J3PX3fU5Y508WC5XpFNZuhdDTKskOU2BBAKEU1mbK6vGZ1+YSinBJEjCUJzuGciRPIxLTYHw7s9gdu7x/Y7PYsV2u++PILiqKMk1sXz2fbtjR1TaYzrq6uWF9cUFVVAojis+58iO9vbVrrdtzfb9nujhwOTczCzDPG5nu8j7VSLOczFvMJZZ4l6u4IMqVdKLEXXGK7dV1H29Ts91u6Lmahd11P3XQ477lYr/j801fMp5GWPE4SnTWRJZYax3GviOCDA2/B+QjKCX7gXmvcSNmNe9eYszmCYgBKS4oiP2nZ4/6TTPN+5PjRZtEBstCIoNG6QOYZOstxyGhwg0D6EKP9iuhLakWkDFSZQGlFni8QztIftwztkYOFbHrFdDYDNyBtYFlpQpA0g8UPQ+qqHcYObA8dUila1+FMQ7AGnKVvLPsdzIJhpiXLeUWQkIkMLRRFWTKZl8gq4+bJFe2xoSxlHGFbz1B3/OHNPUWRc3ORxawlF2/mZhgQRcH11RLhDIPpEcFjH+U4eaX4+V//Fbbesz927JuGMCn57NULlkHyp/od//vf/iPv7u9xeLAD1WLFoprx4dt33B0bDs1AZyx6MkHnFWa4Jctz/t3/9X/kL3/1M1Tb0Td1zF652/D3f/c77geDqSr6eqD3FovB2h4pBJnSOB85+cZGfSHeI4RiDKSNfHbwRNMf3/hIhZQCoSSZkNHAxnsCBqSgMS25rlAyi8t5llFVVVxwTYtwAxDRP60z8mlEmafznMy01J3FhJIyk5hMEXLF9WfPeHXznGLwUVRvHLfNnixkEYmZrFh+/oqnV1fM8pJcaqQ3CESkN3uPMT297RHS4duW928+8NA03Nd73m0OPLT/b/67v/kVV7MqopRek9kcZSSmM/H+1FlsgtLEx4fYHIoQGLqBuq3x1vPw/ZaP7za82TxgS8VkWvHrX3/On/7TW96+f4Ag6QcJecmL1zc8WV6ToREyagidj1x7b0FIT7AO66DvHF3rGFrPu7s7DtMhTnhyAaVgzoxyoljPp3FCiURYSTCGYDo6b/GhpGklyJyha+nw3B2P7LOGT3+74pPXT7i/zylcTq0c2ivMsac+NsggMAImSnO8feDyMmOlCzbWoVx0DcxRKO8YDgeaQXP70fOv/vWPLyz/0o4xU+60VSY2gBzDak8GHee8RPmobvrB+Ok/7/4e/VtC3sem8DE4/JhKOX51SO5zbsA5gwsx+Dx+qQOp4yaeZUyqgrYzgAUp0Eok229H13UcjnHyH79ViEk6IhqZnBpakZB6b0/nQSnBV5+/5unlGkYb8LFxMY667anbnhBkLDCIE6q77ZHdbsf20EWdYhjd/SSq0Agn+OLTT3j67BoIGDMkk6cOO3Q8bI+8u71nsz9ifPhhZy4eN4rpZ/8vTRdDwt1FbGTO1v2BNONMp9yfrqI4oewRWBy/QqaJolYRkMtkyh1L7+uDxyb3UGqLswNZlnF5fcn66opyMkHrLDmS9in2QsTpSV4ymc2ZLVdkRRVtJVJz60dKljFYO3A8RC3Odrvh9u6OzWbHYD2L5Yr1epma7uHURGVZTpbnlNUkaRXz6IKdfmbnHNZEhP3u/p6Hhw1tN8TcxbIkyyMq3/YG444Y20OAqiyYz6LpzNiAnUexY4EbCC7ew21z5M2b7/n44T0hBGazOUU14VA3EKL28cWzG55cXZBn+qRBctbghwFjeszQ4UYN2qNmZBynR+qYioWVdWRSJedgAT6Fv6MiqJHuV4FCCo0UOjY0PpqPSRIN8yd2qKzgcRbi6HoqR1qfPIe6p35snE8AaRolOD0ZZ5JEAB5lMIaoNwsiTQT9+LxJSPmaYlz3UrMXhcJn3dwYFTBm/nlryTLFdFLQ2zi905miLHK0VgzWcb/Z03U981lFWWQnLe04TRapyPbOM9jYINphwFuHCoFnTy5ZzCc0TU3bRmfnSVVRVhM2+yP3mx132wPWhXgOU2PY9YZhSLmKJppJ+RCd6nMl+c0v/4JnT69x1tK1LYf9ntu7Ow7HmnaIDA1jLVKK6JZqHRCzP0fDKsLYOPxZ1mW6MkLIWPOlbUsKSQjyBIiNe1Fscnx8boNPQChpXzvDZKfYDAllJpkUilxDCI7BWAaT3Bm8pygKiqpktlhSTCboLIvT3qHHDAPOeFRWUk0WzC+uWKwu0MUERwR2gktUchObxa5raZuGtonGYHe39/zx6+/IioLZYsVsvowSIR/ZUZv7LUpJnt484/r6CfloEgOnc2VtnMC1bc9mu+Pu7oHt7kjXRwfbTGdUWUYI0Pc9xkY9o1aK2XRCnuWnPYUE/sbmP070Im05utoeD3u2mw1d16BUFiPolEtsR82zp0+4WC1P4IpP7+NcyuIdKfbOpozfeP2lSjrJEHWT47LrAzjrk3Owj464IjGkSGtxutZZnpNl+tH5CaeM3n/u+NFmMZ/NKbVGhOgKeBJ7EhsMS0AqhSdqNlTSJQqZ8qWcp28sNjismuJnC+Yqi5RWYwhuQAYXFywlWM2W9K6i3e/pzB4PURwsYLpcIdUFQ93QNw3B23hTdzV9/5H8uqIbDI1zaGMpcsezmwuCdRSZJiuzOLZGgnBkwvL+w46rZ8/oBo/AY4xI+gdBKUC5QNu7qEVre/o+ar2kkuRK8frlM7phoJgWXD6/ZlHOkE3P7R+/4z/93dd8u92yH3qyScVkXlHmJfW2pj22tIPhaAwmBG5unrG92+BEoKw0//7f/ff4pqFuW3Z3D9zdPvBhu+X1v/lLnptA/f/6R/54+zHSl0yHcwMhRG2eSxz5EdGN8iMXBbfWg1SPLKhFdEGTEqklWdILSKFQMjsZD+EMzmZomWGsiRRcBIWCzMVIC6EihUdKQa4E61XF06li2DpCLgl1S+N6VJlz+clzbqZzsrrHihhY3R9acufZ3225D4rl65c8f/aUucgR3iFcLBIIkYYVQkAoQV4UdPs9d++3vHl3S6MD6Iy2NWzetHx3e0c2ecbVZM7w0PD1777mm80DN3/5ksvFAjF4ZJ6mFM5FExscYogUhWEwDI3h427HG7NBXBcIA+Ws4PWLS8pBU+9ajtbghGD2ZM7LZ08pQrQQEgn58QldN31cAIQImN5wuDvw7u0Hdm2NvCr44tlrlsWE5q7lf3tfY/ye6ydLFmVB5h3OdAQXs49c03JwFq0rmvsj22aHnmXML2Y8u6x4kTvmGko55eh2+MFjddK1y0DrOkoVNUuqlBTrkmVWsX27Z2ccTKJxRSBuPnKSI0xgs9386KLyL/EQKi6op3iFEyVVnRzmzu5y8jTRGwuo8zE2hOOfz/82FlARc4r6k5BMBE5f/agBDeHRlCZRx4VIFueM06DYLuW5ZjGf4gK03YALkXo6FlzdYGnaAasTtSY1Q0rG4OZUKkRHu2T9Hr1SPOv5nK8+/4yqzHFDE9kV6fy4EDi2He1gEEqhAZFCrGOUxpFuiJEOZwKbwBrDeprzr379F6yXS7yPe4caJQM6Ggn1xtGbcTom/nP0M003T5l9j+hs4zQkXlgIIjr+Rl3nIy3W+D6nQW949LXjJEMmmqlAS0GuINMxNiNTEinBWWJusB0IlWI2KVldrFlfXTGdTWPxFGI+VnOs6YeBopxQVFMm8wWT+ZK8nCSUPaTYo2TqYA1D39G1DYf9jqHvksbZ0rQN79+/5/b2lqoqcN4y9D3eeXId4ysmk2jtnmUZWumTa2CwsQBvmoaHhwfu7+7p+gEpY2ZZpHzFZrHpBoxxmMGgpGC5mDGfTsiU/MFTcGrYE0XUDh3H/Z4P79+x2dyjtWZ9dcVysURqTW8/EPDM51OeP7umKjQyTTu883gbi8e+bRj6FpGAycRjjL+LAC0U4JBCRIdTF30IpNaR7pf0O2P+5uN7Q6T3ia+TpzXgxNH+CR0qxa6INEYaddonGr4YG0g4ZcOG0TkzUenHNTK956noRHLSOweZDDTCyRnSu+ix4FMsDiHR5pLmLL73+VoFIi3Veo/xDu0lRVHw5OqKLC8wxpDlGWWRJ1OmCF4N1jJYx2xaMp2UFLlGS4lORkwSsCJGAw3OYVwEHyZVxpefvWI+rZB+oChypFJkWYH18M13b/n9n77jcGxTwZ0hleTYtNRNS91FqmFvDNbZFArvuHpywb/67a8osuzUKDZ1TZHnVNeTyAQ69NF35uT4bH6wrkXgaASPHv37af+IxmTRmTtFvMnR7GpczuLrx2sYP/FoWPzoeo4AmURQ5ZLlNGdWSDAxq7XtAsY6qpSlKvOMyWRKOZ0ishhJYbqetmnp+54gNMv5hOXFNbPVJXlZxeFFiM6wNjEZh66h7xq6pqbruriW+UgxPh5r2vstb9++4/UnrwFShuIGYwzPnr3i+smTFEwfm6CQADfnHENvqduW7XYfc26bBmMjG6EsMuazGbP5HGsdt7f3PGy3EDzVpEwmbOokU4jbxNnEJja43Snjdb/d0rYNk+mExXpFXhQ4sYuSkVyzWq8oiuzEaIn37wj0jUyKUWMbn0klo7u0khLvRLz/5CMDS07LYuxVxAjCpDskRL+VvIjSgZGWHx4Bpv/c8eOaxWJKby3SRd2KFyKiPioiT7lSSB+RBYTGp2+sQiCYyP/2aWEvhMYJj3d9ighTkSOfUGqJJleSRTlnli04TiJN07qoN/PesiinTK+vTwWN8w69v8d8+BN9M+BtLO7zKjq8vX79iua4Z3//QJEpOhv537NpyToL/K9/+4ZsvuRmPosTRy+TbbCkqY/cbw9M5jN8EJGX7WxcOLSmmJasljMWFytW8zUTITG7I3dvb/kPf/t7/vBwz65pEVnGdFZRSo3vDd+/ec/Hu3u6oY/nRmn29w/sthtUlvHqy8+4Wa85bnfYtqaxhuLlDf/+3/33uLrmu7/7mt3DFotDaIUqMqzt8TYip9EdUCLlaHISnZm8NdiUSzVSxYTIThk+IKKhjYAs02ipsWGkvYmUzeTReUYxqcikQDUHfN9C8BR5QaZ10k5JFmXOhMDxeMR5TT9VVBdTFosnPLu8RDSGwfXoqsA2hr7p2B1rPuyPqC8+58mzZ1QodIhWzhG197g+LlRSx0Ws3/e0vWMfDBsxkE2mlB14Z2mGhq+//cgXX76kouL22zu+vv3I/GfXfPriCUVQOGMw0qMSv80MPV3fx/MUAv2m4Ztv3tLNND/7669Y5hP+8X//lk8/fU6hFBerGcv5lMP9BpllXFxekHmN7W1ssFLh6azDp9yf/nhgc7vD4tlujtweN2Q3Bb/59Wsu9JL+aNBlTq4KZJbx7MkF2olIWW2bKHq2lvpY00vonaPzhsb3XK5nZFnOrMwotUYHjzBERDIEfHC03p1cXPOqZFIWzJYVq6zkcLtjPxwZREG+qqBzdMGTT3PmKqPXisu8+tFF5V/iobL8XBCdGsbULIqRevqokTxNDEdk/Qfl8qO/nSeLcb8XIKPp1in0OOk0AuJRARA13SL4k+vgqJn0HqyNOpveODIdkcrpJG6+ZRER6gAnKpTznn6I8QqZirR8xIg2xh8rhOj6Z6xNJjQBbw0vnj3hy88/BQLGxbB1lwqzXd1wvz3Qm4hkihBzc6211E1H0/UxcsjD6KgnpUMEz6tn1/zi51+SZzpSEnVG4i5El+28T8hxmmScwqd5VCz5Ey0rGjvxaCrBo8L2PA0RQhKkJ4QY0RB+cI08AnkuwuIufFoHlQQtI3smU1BoidaxAO67gb5vmZaK1WrGxdUlq4sVZVnGc+0jPWm/3fJwf4/UOZP5mnI6o5rOyYsKIfU5/iJNzczQ07YRXW+bmsGkLNdRo+qJZjQfP3JxsSQQ6WFFUTCZTZnPo/Yvy/Rpmhh8NDro+47j4ch2u6VpavIso0zTRK01eTLBiQWspusHrIkuo5erOUWhkztqOFE9RzmE946+a9lvN9zffqBpamaTCcvLSxbrC/I8i4Ccjd4G8/mU5XwadWTOgDfxPh8Guramb2sIjlzHAl2Js94wDhcFQsT73qT6ACHQ2Ui5FWc9XpqgnGCaH0zUxOk14ic4WcyyMv4h3duMU+GxQU4F5mj0E5e3cH7NqdE4r30/bDLS80N6vnzcd/Aer3QEEbzDS0/wNq67yYFaCRA+IFTGaERibEigkSfXgUxnPLm8YD6fx6lLmsi0XUcgUgxxnnYYUFpGE6Y0RYkUVIUIHhNCimUz8f6xlqcvbvjNr/6CxWyCHQR5nhNjZzzffPM9/+vf/gMf7ncEBBfzOReXlzw8PPCw2XJoIoOi66PzZQT1AjJ4Xr54yievnxOIjsR5UVAW5SnX+v3tJk4mjYuRJGPh78/0xrNu7Wx4EsK5GST4tMYSdZ3h7IT6g/UsPNIyjk6opLUyXdORVq8QZFIyr3Lm0xLtB+quY2hapjoCeFVVxKlZXpDleXQtRsTw96bhsNtjnGd58YTFxTWz5QV5NUEIeTaCMQO27+iaI21zpKuPdG1D29Q461IuqsAaR31s+PD+lqZukJnkeDxQH4/cPHnCzc0NZVkipTzT0h/pE5umYbc70qbooPlsRlE4jHOURcnFes18sYhZmdayP+wjO+RizXRSnajTkVbtkwFNXEfrw57dbsduu6M+1njnmM2m3Dx9xmK1wnrHZl/jAmR5RlWVCM4Tw9Hg0BibGkUXjfREBF2UUsk4TCEFOEkyPhv3RvkIwE4GPWP98qgiEZAMyfRpP/3/h3H/o83ioqwQKorZR+vaEAIuFZqlLmKxM3KarUUQKXdBiDT+T3JcEZvGEBJKLHyizOfY9CAYG4WbIoXBzyuNF4mbnhAoKQSZluSZTIG8QFZR1x0uOKw1TLue427H9dWKq09fc1dk7O62YAJKa9arkgTPpK8AAQAASURBVMP2gM0zcqXSAypj0xo8UonogphnFFqjg6CpW3yIIl8h4NNffMFXP/85T+cLMusxh5q77z/yT3/8jreHHQ/7A63rWSwXVDpDevj+u/fcbra0w8BgLY44yby9v0NKxXK14t/8279BEBBFwXI958V0Ri4l4dhw/P4jf/j7b/iwabHJ0Eui0SpHBMEgbLxpgozu6T7Ekf4w4IM/GV+MYdGIKEz3IfL2BRFZxTpU5qMAXMp4Y2U5aIHSkMtAHjzWthjXU+QZuYyib6kE81kFdcPXHz+w2d6TX865eraM2WKTOeEQA561l9hjxzA4tg/3mNmMbW/5zZdfMcsmyJEDbgyBlEXYDbRti3OG4dDxzddvUMuSxeWC31z9gm7f87//8R9p2wYfLO+++8i+7xiOPR8fdsh1yeuXN8xlEbOL0lLrnEU4Qb9puN/eI8uM9qFl29ZkL6dc3ix4enGD3zgqlZEJyKVCTEpevHiCmGVMLgsWVZWs/R02RE2H6w31fkeQnr7rGQ4t33z7LW1hmF3P+eJXr3iyvmCmZ4ReEobA/n5PfeyQuWaqC0Jv6EnhsEOH76Ntcl9JVk9vmOsZorSsS02mNLku0EKQS43tLLoqEFpgeoMNFllpZqsZM11R6ozcOtqHHdVUsi7m7DuFD4pBBYpJSTEM7OqWydMnXEwW/5Vl5V/eoXSRnolH5imnAmq0L4dHcz8YSZCjI8349adtN73FOGEGxmiGWCCNDYFLFvJn6hXp3hfBx8w7XSBOTm4Baz1db2Pek9RMSkWmMyYThdYaY02K1YgbZaRve7xSBCUY6XU+RG1z8KmhNJ7BeKwDZx2lVvz6L77ier2k7ztMysU7NA0P2wPff7jj+w9b2iHgkkGK89FUouuHk3bHpd9JBk8mMjIl+OUvfsaLZzfx3CWodmySjA1s9g2bXcxtPGvfxsntqIP6YdPoRwONBLH68RqIcTLiCcIRvEgNo4AgHxUASePDuZB6rBNVQqBFIFeSUisKHVv5YTDsjzXWdCznay4u1yxXc/JMQbDYIVro7/dHPny4pesHrm7WTBdrimqOzHJCmtSeci7NQN81HPcHDoc9fd/jnE2mC6TpGjgXaPuB+/sHjocjOouFxXQyYbFYUFZlmvDExtOniJ1hiMVT38Up5XIxJ8vyaFAkRs2OOBUcPmTMJxXCOxbzKRerKZkWMdogREAvFn9x4tnWB7abLfv9Lr7/asX6Ys1kvkAXJYTAYJtoSBE802mFymS8z4bYABjjYvZs36FEzG/Oi2jMI6Q4DfC952Qo0htD20dncJWaeSE8QsaoqBF1R4IIY2Eekh72zCD4yU4WdQ7i0Xr2g4ZPPHoWzyOn82cfjSnSm4zr5hmMCScqI5CG+CmOJz3fcXLiUv0Yn7cxh1MIATojJAdg62KEWS+hUCDznCzPyIoiglwEzGDQmUaplr4fIg0PQfAkWU6MfImOjxH83h9qNrs9/RB1YUoEfv2Ln/HJq+fxZxISpaJT/tsPd/wv/9vf8afv3hGQzGYzXjx/hlKS97d33G92Mf7Nk1gZAqULnBnQOuOzTz/l6vISpTUFZZwIiQjaN53h6ze3fPP2jkNn8VJHoM6l8zTS/tM5i2DP+Vye2SzhdB1C5NkSgvoBjVUlSnCkA54bSpHAACliJvdo2JVJQZkJpmVGoWL9MPSR5SVFRVnkTKoSneeQZahEZbbO0jUt282Ow/5IOZ2zuLhitrpA6BznAiRQyA1xnWsO+5gvezwwdB3DMOCcQ2eRwilFBCH7rme/39M0LTpXHA81QiguL6/JixJrY+3qUlSKMdEI5nA4xOFFgKqqmEymUeNtPf1gEEIwm06pyoJeymjUMym5urzk+dOb6L6a5FsuRbBYEyPQ9rstm4d7drsdbduhdRwc3Nw8YbVaobOMumnpux4zGCZVSVXmkb6KJ4QU4TEYhj5G+CnhUUqjtUpxhBKpknlYeu4GG7M8IQIhcdI4svwia1CdtOThRN8fXzP+x/lp/WePH20WMynJtcYpABVF5sYQnEE4R/Ado4jdeo/0DqVCjM0gZsXEuXoU2Adnkd6BUEido0S8obUUiExAcEmkmRB37/BJNyeCZAzOHi20JQF0hiqmDN09SFBaYZzj4/bA23d3/M1f/5LPv/iUN9kb1L6mmk2YK8FqlvPrpqPQOj5IIT7oxlnKQiORNLsDHHu++fpNnEqmE98Phn/37/8tTycVvqk57I5sbjf84Z++4+t3H7m7f2BXH5nMKzId3THruufr79/RGgPOI5L7n3OR064yzfPPP2Uyqbh+csXFbEYRAsIazHbH/v093/z+O/6Xf/yajc0JKIJ1COfRKsO7OM3w1kV+eN9G1M07rHdxxWYUlRMnF3iUHnUJqXgcKT6EaGOc0GutFNIFvOvprcUHQxhqVCbIS30CBjKlyMk43L3n0B45Gkv/sOPL/FMmswm5LnDOoHVG1+5x3uIGz5/++Ab1+XNWr19ztb6iUgXCC5zpoxlHCNi6Z3P7QGtbDtsjtx833IeG5WTOYdfy5aevyA7Q1j1N12PxmO2Buh94X284Csfzz59zs15RSU0YOoz1CGNo90d2mx31vmbXHynXc+quY/XZmq8++wx6CIPn4/ZAcT1lPp1h6p5+O7AoBc+/+JzlchbBBSTOukgNdo6u7Xj4cMfD4R5dxmcif5pRzguubq64XlyzyJcwCLrBYNqeze0dtW8oFwpverpuwPXRdjoicA2bw46QT1iJgNaWm4sphQCkQwcHQ7yn797u2O1aglYMraf3hslixqwsqRItyAZPtsqZOMm26TFpeulwKBsYZLT9H3Y9rhz+K8vKv7xD5+W5UDl1do/JOWd6Y6QpjnPFM+3ucRspiOjuuZAK54VZJLpHkAQRqeEnfQ6kZjLpE0JAigK0Am8JXUMYGqy1DIOlSRMSKSVFnpFlGqUEuc8S9SZOAyOVhRNdzPsRcQabfkZjLHXT0w02IauGF1cX/OYXPyNXcGx6un7gfrvn23cf+PbdHR+3R+puYDCRymW9T9NJlyzOQ6IZjQ2dREvPbF7xq7/4GWWuo7Olc1HL13e0bc+Huy3/8LtvefP+nrrtscmAxbtHOrW0bj+eMp6aR87Tx0irS82meNSQn+hbY7H1n2+Yp0Fz+rMUniwVrVrFJnQYDPvdgcPhyHyac319wXq1iJO8BHYNg6Fre27v7tkfjixWlywvrqhmC2SWg5AxI9J7hABnDPvtA5v7O46HA9baWDSlwmk0JxqMSdbyhqZpsc5SlBlVVcT8xDyLZiA+uaj2PV0X3SKHIU4/iqJgsVhQVRO0Pgdhj/oenxpvKQRFrsmWcy7XC6ZVgUpugfHaJL380NPWNfvtA3Vdo5Rivb5iuVpTTSZxii+j2Vbf9xwORwKCsixjrmZT451NGtaoS8u0JC+LFPmh4/QiFU0RJIhPXQiG/f7I4djgvE8FlD5PpeWoW31E7Rtpk3DOS4uj7BNy/1M6Tjm54oy9nFDTEQAbj3R+T8jXqcV8xJ0Yn49TrzKyL86vD6cJrYx4mTpPVMZvJMY3URJbVPgsJ3SJtmoDwxAYsliD5SqPubBaI5SMMRZFTlkUtG1sNMaJpUkaNWcdgzYopej7gbuHPfs6RVxYy2ox41e//BlSQNt2ST4SuN/s+d/+4z/yx2/fYWygmlQ8ub6kKAq+/uYbbm/vk/QnNYrEaVDwsba7ulzzs6++YjabE11o47S1N5a26/nj9x/5D//p97zbHBmcAHF+9lxau8emccwDPTWHPFrHxv0jNQVBeIR/vD4+WvfSM33etBIDg/NUUcuYJVvliuzEnmgxfY8MnqoqmU4r8iKPi6GKNeaoydxutmw3W1wQXK+uWFzcoIsJgcg6CM5hTEd73LPbPLB9uKOpa4JzKBVZDWqSoTJN38eM866L5kH9YDDGgIzA12w2ZzKdMbpGWxe1fn3fU9cN2+2W4+GIEJL5csF6vWY6mUYAwTrabqBPrq5d11E3bWRCTKd88skrFssZQpLuwxiFMfQtXVtTHw7sthuapiEAy+WKy6urGJMyqU490tD3iS47cHW5ihIf5/AiAmJt29A1DcE78iJSnPM8RyvFKajrEXZlreNwbDA2ujxrrWIMUkpgGN12pYrZ0SNI6J2LhpVSkPz64uv/K93ijzaL0fVOoIRGCI8LDpFprFLRSVFrdLAIZ8EODAGCC2AdIhhUUcQ8Lq2osgKhNcLH4OCYOx6wPjY5WkGm89gJ6yQ69j7mrRCQQiVrXeJ0Mlnj5dWUvpwTzD1KKgp9zj5xQvIf/+GP/IYv+PLzz8m++QY1KVHeo7H8qy+e86dvtwwmbkbGWzprcHi0lLz59h37duD+UNMn+pW1jpsvX/Gzzz/B1w319sDu4wO39zu+vv3It7e3vN88IPMYHu2MxXvB+/e3dCYas0xWS7RUHHZ7gnNIpbh+/Ro9n/Pf/5/+klVVkBmDbRqGpuXh7Qe++cO3fPPugYemo5OSIBXBBQbTA0RjoOTANJg+0UZdcoZLa7YIp5suBM4UYKkiUi8FuUrhylmO0jl5kUW+vguoLIsFwdAhXYMWjkmRM82jvgEZaVnDbsuuPSCE59h1XH7xipuXT1hO5uggMN7TH2vq3QHT9Wz2Hf/zP/yO9QT+L//d3zDRJdLB0HZgG/puwPvAx+/es9luGIKh1gH96ZxfPH3NspzD4NG9w3SRfuSdx0pLUZZMpxP8TuCVpMwydJAoGbW2wQ60xtKblt62vH14C6uC9eU1169vWCzn5D5PD3tHM/TcfPaUaTbFvG/409/9ia/vPvCz7GesZ3OigVB03DLDgGl7urplMD0f72+x08BnP/uUn12/QhKnQbkscMZjG4vtBtp9zX5f46eSr375iov5gr4eQAia45HNw4ZjODJ/OufpqxessgVZGFA2oDMIIkMGhbGG7YctDx/2/Kf/9Du2/TE6kpWaaVWhQ5xse2Aym7DQFe39ltZ7hj5ZjgPzWcZiXrH/+o73VjL76idIzcpzRkfEsX4am4fgxw12pDlGevYoTE+8SH6wkgOjJkScKFzpn9LEGSEISp0mjWOhFieKUfsT2RcKmefRedN29P0RXI8xhnZEl4OAKRRlQZHn6XmM18k6T9/HjCfvowmLCPZM3/MRxR6MpW0Huj6GvYvg+fKLT3h2c0Xfx+Zif2h49+GeP377nrd3O46DZXBRj3vSUYbRLj5SUscjopyC4Aw/++wv+NVffJm0fpERYvqYNXisG775/gO///od99uGziatJsk6fDR88ecJ4+NiyIez++aokfTjOf+z154NcdJrT9VzugHGWYqIrBJFLKC0isD8MBgOux377RaB5/r6gqfPnlBUeQTmnKXvBg7HSH/aH1uKasb102fMlyukTnbx6ft55zBdx8cPH7j9+J6+6yjynOlsSjmZkhUlSkq6rsU6H4snE90ejbEIIanKMhrTJDqYD5HKaU10mG3aFmMsUirKoqCqSibTKk4VZdS5ujRdci5qFK2NAIC1hmlC3CPSHqfXzhqcGTBDR9u2dE0TqaWLOYvlkulsQV5WKJV+36Svr481dV1HypuSCTCIRj5D12Odp8gyJmXURcXpkUoTDHl+PvEg4oTg9u6BY93iPagsIvPiNEqUaSB2BhhGt9SoWYxGL9EE5adJQ40xYpy0SsE/vt/DKcz9BKow9iOPqslHy93pCf/BhDK9KJy/5kT6FaQpSTy3UcYUTtcFKcmnc/xhQmh3CBvNcZzz9INFKovSGqXimqKzLGZiZ5pMa/Iso227eE8mAMPZuKapBAZ0/cD20NAPkbYqguP1y5h3d9jvMX0bHTP7gTfvbvnmu/e0xpGVJfP5lKIqub1/4O37j1EHJqPuOxCz/kYmxGI25cvPPuGT1y+AOJHqB8Oxadlst9w/7Pmnb97x/Yd7usFiQ5z8WRNNCk+NYvCPzuUIbJ0Bj9P5HRv+ERgL5wZzdLkWiSEX/uxynsZVaaqoFeRaUmQaCZFqWdcM/cC80lws50wn5UnvSghYM9A0Lbvtjt12jzGG2fKSy5unVNNZ2tsigHY87Nht7ni4u+Ww22CGgbwoWSyWTKdTinKClJLeDAxmS31sk/FW/H1kSmgoy5LZdBoHH2GknsYIleOxZrfdcTgcUEqxWi1ZrddMJxEYG03qskzTdz2H44Fh2HD3sOX+/oGrqytWq2XMFnY+Oly3Dbvtlv12Q3080HctSgrmyyXL1QUXFxdMJ5PTICYEjzWG7W7HZrtFShFzhfFYF52dD/s9+90ebw3z+YSyyCnLnExnsdlMPiRAoiYH6qbj4X6LMbGHKIqMIs9OFHuZqKmjjGbM5jXWRi8aqU7g8Q+e43/m+PHJYlESxo1WSrIsCvlnSmEqiXGBofO0Loaw48ErQXCRbuRdF4WvQuJsT4FAi9gli6pMwvTAYB2mb+MNKiJa6EXk1XrvCcnhTBDIcoW3XXScCxqJQt28ppQbgmkplKTI4qRtNSsplOcP37whCMHNy8948+4tufLMqxLlMsqZo247sLGx8kQNmNQaCo0dumRfHAsW4xy/+O0XhN2WZtvx8d0Hvr/d8O3DA60f2HU1vXXkmXqkUwvc74+ILGemBZ998pzbD/dsrY1OWWXF8umnPLu54Jeffc6wO2KGnn6/55vv3/K3v/sT85un3AXBrhloyxyBjGYsxtB3HbZr6U1c4KKYPDaGZ1qJYwy7jQs0MXcmCLzwib+s8QTKZK0LKTpCKCblBDNYggdFNACSmWQ+0ZQiBsBboPCWw90bhPDc77boZ2v+23/zG24mM1QQ2N4jnefYHHEEvv7jt7xXgf/b//1/QhYTniwusHVP8IGmPtIdtxyOe5wQ3N/d87HdML9Z8smXr3l+eUMhc0LvsKGn3u5otke6OubOBBkoZgUXVyvEoSYvMvIqRwnIg6AbPLYZGIaB3d2G2lkuf/aMi+sF6/k1V+tn+LYHr2iHhrZuYqNVFKhO8OYP7/nu7Ue+vXsLX2c8fXXDXE6wIdKbvIfd4cDHD+9xheX5b1+wvlqwmKxZVGukEzjj0ELHe08L+j46SD7sdsyeTnmxfsLSaD7cfqCfCKztsYVn+eSSm4tLFsWaImhKJXHeI9LU16Fw1tO0A2+/uee7799xMA2DMxTTBTqL1GUHmDCQB8/2/S2ykOhBxPvWOLoi8OriEnO/R16uqPBMF8V/ZVn5l3donZ+pZ4jTRCyEEDW9qbCUI9IefHSRe4Tq/vkRWW2jxuesY4z+MokCNFZdqdA6tzfJ2Y4I9kgpyWcLSuGpbUdvO2iHk377WHfp/QRalWkKo5FaEbznKGMBMhjHmH02/tgu6R8HY+iGqB8LPgr+P3v9ikwrhr6nMwNN27M/NtR1l0wcYqM5vte4Tuqkaxep8BQi0iaDM1STnP/h3/4NT59en4r14KKOMTJAJU3TsztE1DQEObbRUQ7hExXrRMcKJ3bIDxrFE603aoeDCIne68dSmJG6KuTZKv38QbzOo6ERJK2ijCHhIVDXNfvdnr4fuLle8vLFDfNZCd4mdzrH/tDysIk5gllR8OT5c1aXV+iiOBUTwVmGIdKr3r15w93tLVopLi7WrC8umCTX0SBivmrX9xyODft9zTDE6aJzPmrqkzMkEgIea02kdiYasdaKqipjNqJU8bXj/SDO9y0CnI9Ouse643ho4n3x9Dru3cFjbTR3MH1P1x7p2xZjBpRUXFxeMk2Op1pHKmy8hrEA7oeB4/FI3/dIJZPGscPbDmvMycm1KkuKPNJj5TixCuMzFY1SgnN4a9ltD9HorDMgNXlRxGfgMXsyhDNw4JPuKIRT3qAYw7hHh86f2CFPZl7ncHtCOJmBjE2dx6dzxRkY+8+O8Gjpe0Q9HVey/9K08lF3OTJ9R0pxQEBekM0W2NkK2x4QrkfYNt1vsdnSWqG0JuORaZGIMQ2Zy7A26r5CiJ4HQoB0I1hEzNvuhxPgNC1zfvUXXzEtM7rmyLFuGfqeuhu43xxoe4uUmiJT6CynaTs2mw3WefIsavaE0uz2UZ8XgZicF8+e8eUXn7JeL+L93cfc2LvNjuOxidmzAYYkK3Bp7bIpa2+cLI4auXHNG68XJ0CM07k+jYj8D18TmQvhFJ01fknCLRkdvpUk6rGVoMwkhQL8QHc80NZHcIbVfMHlxQKtI83V24AxPbv9kf1uz7FucS5QlFMubp6zWF+CiHvR0Hds7u/4/vvvuL/9SN+1VEXOxeUl1zdPWSyW6CxDILB2IBwDbdtyd/9ANxiEkDEvNlFgF4sZRV6k6J+Woe9o20ivr+uGvu/Ji5zV6oL1esWkmkTQCk7a++AdUkaH3O12x9u3bzkcGlbrNZnOEqAaJ5p1Hc3ADrstUgTW6zUXV5csliuqyYxMqciYc/bE7uu6lv1+F3+W5ETqnaNNZkebhw2m71ku5sxmMyaTSaLPy0fIddqzvMcaz+Zhz/sPDwzGI1R09s/zLDHnRdI6RuoqIWrUTXLJHjWQqRo5PYs/dvxoszg6VoUgUEGiREAljrkWMWuqmBbkZYGZzcF4EC6Ns32MdACEdxjACE2ewAs1GJQA5S3gUEqgg0cKQ6YVXuYIqRkGh+k7PDHY2JsoYM+kQoXo3Ll8+RW1bdC3/4k8y7hcL3HOcnzYIqxDMvDNH7/Gty2fvnqNJbC/e+Dv//b3FOvLiBh40Ai0iAW0d45plnPbDgQXiwopBTqXXC7mvP3uLV1vqKUn3Kz56pOn7L//yO/+7g/xpHuHI1CWBfXhQLFc8/yrX/DavSMcOv5wv2MsDifzORbN//l//Nd0+w3t4cDu4Q6Xa5Zffcb/9G//NaLx/D++/X/GrDTbYEMbHb/MgPUB623UcI7rtYzNdQgCERyI7AcLexCSaLkFSmlUnpPrDJWXUSOFRYoc6aA/NrTHJmoAgmFaKESwTKQkCyKaaWiophNoO3bbI0J6tp3h1z97xZfrS4rWYoNBtJb7d+85Di1169hWJcvnF8zyknJ2hQ4SkYoGO7Q4O7Db7rAK5ETym7/6NderFSUZuc9RQUX0vulp64ZD23O/22GMQUgREfMA+XLKVVUw1Rn1/Y7vPzzgZY8QDi+hzwzVixU3l9dkKmMxXSF68L2PnPq24zj0vPjqJQUZ7fsDt5stO9siK8V0NY30XQ/WGOrDIaKZwbB+dQGFYH25YF0tonBeVigpMW7AtB3BS7rDgO16bNtRN3tkM+HDP73jgCOElsPDnvJyxurlBU8vb8iMwLSGahKNgKyL2lMzGIxpsU4jS81x37AbauK6E9BVRq4kwkPf9IRCMDQD6ydTZB/o+gEXDY/JlKC/35OXGXlVcalyiuKnp1kcbePHSib2OLF8kX4sfGRqyECMLqaPPs616A/R9JDeKw73H2/ujzf58RizsNJX+kTZESCUZDJbUDx9wd7UdKYl+OiYNxhL3QQUaZ3S+qSLMSGK+w91S9dFCnGWssYgapajm1tE4J21SDzzyYwnT64QUuAJICQ6zynLkqIsyJse4+0pMyyMFLSkhYhai7OrnlLRfOurzz/hr/7yN2SZQkQn75gZlWfR5U1E6qT1AT9O3caJ4OMi9PE0MBX/p411/AhxKngqXh+/fkTmH/39/DqPCMk0AI8SIINHiXjepIBhGKLJVN9RZIqn1xdcreao4AnGYpL84O5+y7FuUVqzWK1ZX15HOpbQUf/ietqhZ7fdcXt7y2F/YDKd8OzZM9aXV+R5cQq5Hy3z+27g7u6Bum6jKZuLhWTUqURANvoARP2WMQMuOIoyT8VKLMa8HzMJHc5bgshQjydGITD0A5uHB969/Ujwntmk4ObmimGINFjnBoa+pW9qIFBMKqaTGdPZjLyokCrGUsRJVjQ6GVygaVruHzbUdUtR5PRtR9NExooURIOeqqIqC/JMxkghkgfCaWgVTtlkXdvx7ffvuLvf4Yg5emUZjXrO7PJHE+VEZ3YpYiTer8kZVI38rJ/eIdOk4cR8SI+TkCPoEwgxFj49FvFZSJ98BIwlcO0HE6+Q3JLHfzoDaufplTittVKATwDA6DQtpEAXFZPlBcNQI0JP1nlUsEQ3dMvQD2ilyHKNdvLUp8Z73dCl3D/nXNLeRXMQKdLkb/Th8JHq/+RyzS9+9gWTqkDLgNKKum6puy1tb2JWtdYEIegHS9PGjOyqqnj27BkXFxd8//Ydm+0eIQRFnrGcz1guZjx/9oz1aoWSiiEMZFqxms+YVhXGC755f0/ddLRdH9kgPjWLQ2wW/el+fbRunXaR8+Zx+tPpGj2i5fswEk1+iGuma3U2tQEtUrOYiUhBVQLXG7qmwXYd0zLj5mrJajFhNGjpe8PDZs/Dw5amG1A6o5rOmSzXrK+ekBUTQgDTdtx+fM+bb79ms9kgleDJ02c8ffqUy6sriqI8AaneGpwJmKHn7dv3vP94j/Ogc01RFpEJoTOKokAKkSKJHA93txwPe1SK0FtcXzGbL6iqaTRhTDIr5z3DEE0xnQ8UZclsDnebHYdjw7FuTjnDPji8jcBZ27Zkmebps6esVivm8zlZUSBEZAm5RMkfo4ucNQxDZALlWdJ0moHDfs926Dke9ghgvV7z5MkVs1kV98rT3vQI/EwAV9cNfP/2Iw/bI4jI2Mm1QitOwE68ntG8ygef6MFdBFR0PHeRshrTKx5zAv5Lx482i2WmsYMhBIfWgkye9X2CuJETIBeBQkXqig9RDK+lSNmL0VUvGpSYqGf0hr5pObYN1jQMbkBlGYWKN4DMCnRWUOgKJRTBGXrXRwemskIXJSMlySaR8OKLv8ROS4a3/5H97sCs1Ogix/WBqYqh9Pcf73DGUpUVHzc1H3vL2hiskNgkhhW4uKlPJwhvT4vKiLZNF0uq5YzrLz7lerGmvr2nbxs27+/57s1HBucRmUJlmiqP9MK3b94y++xnzPFc5Dn/8zdfczQmraWOfL4k6IqbixWHwxbTtSw/ecnz58+RvSV0hu/++A3f/f47HvZHQuYJMhaBQUmSyvsEKoXTZU8FrNDx3wTItIgIGfnSKuVhZiq60cpgkaJEWI8xB6yPphVWqqhJlJ7gBEY6QCGCQySkfZUr9h929ASOdU1xPePzT1+ge8OwO+CVYPf+jrv7jxz7jqOEr/76v+Hp5SfcffeevXRMqhbpHG7o6PuWzeFAU0j0vKTMJdeX16zLCEwIB864iKz//7j7rx/LljTLE/uZ2ZZHuw4PceOK1FlZurqmp9VgyAGJIYbggOphQJBv/CP4F/GNJEiOIBtDToPd7K6a6spKeTPz3tARro/c0hQfzPZxj6zqLAL9lLkv4nqE67OF2fettb61qpbNahvMI/oW4TWJU5RZgjBQFiXpbhPmLp1HZKFwp1A8Oj9nlJdBVi0LrHZ4Db1uo2yko24anAouq2U5pZVVGC7uGogFR71r8DIAHs1mRdVX5MdjTs9OGKclaZ4zSscYqVEiOO8mKsXS0/YtVbWhqTpulxVaJqTW8vbiLacnGUXuyU/nfPLkE6bpiCIdIZVDtzXtJrjD0jV4pXBJupebuMayWW3pbE+SQK5UcABLUhJjMYlCZIpkkpAJRbWtaeoe3Wt2dU1ZKkyRcXqyoNOB3crzyW9cVH47j6HReGA//WAjFrEJ8wyMYND4O/9giY1fMxTZPjYvwj9oGB/MRw0bv9gjwvfvGzZ5EY29rA/3ZJInTMcLDk8ecVev6Ter0CwIhxXQ9hrVtKhoXS56za6quLpestnVGOPi7FlKnoWN08cM0GCGEw3KvOfo4ICDxXw/75hmGaPSMx5PGI3HpLsWoW2Q7gq/ZyoG2YwAlAiZUKE+FWR5xmeffcrR4TwYKwBJEswLvNFhjr3WrLYVu6ZH+wHkeuAgO2yeQ+EfQbChjPr15puBidpvvMO1GD7DP/zw/fFghmfgmwWhYfEO+q6jaRqcc0ynE06O55R5mC01OihW7tZbqqpBqoTxZMpkOg2o+b4JDg7J22iQ4Jzl/PE5hycnzOcL0izHR1frwICB1pq7uzuuLq/p2i7cj1LiYlBzogLr1/f9/n4TImQmfmSZHpsBowcWw5PlHqHk3jgjUZIsC03tdrul70Ie4/CchFyxHmssSZpFSeuIvBiRpXmIrZAq5DoS8qR9zE9cLtdcXN3G+UJP1bQsdElepExGeZDSphlpovYB1HgfCzixf06cMejecHuz5uXLd+zqDhCkKjCoaj/DM8wjDoCO38sUnbMoWQRJYzI4IN+Hef8uHR4bQOQozQ33odifG4amjfsiNa58AcJyw/vCd8O5AVmI7xkexvtmJVwr9+Bz4pfuAabIgAxutM6TFAXZ0QleWtgAzRbvAluoTXAdFUmyL9K9c7RNy3oTjEyClB7SRCGLqByIa5NxPpACQJIonj59wvn5o/04AlLR95YmRmEMcRbahvf1WuOsZzZf8OmnnyKV4qsXr7DO7eXMQ57ds+fPGU8mpKnCEU0DswytLRe3a756+Zbr21Xw+ZAh43lgpIbz/reWNe5hzY/Ax/39/TE4sr8Oe4bygePzvmIMRjehYRRkMUdWOIfuWvq2xXvLZDThcDElS+/njlfrHXfLNVXdodKM8WzGdHFAPpogpIqNe8N6dceHd2+o6or5Ys7Zo0ecnJ0xHo32IFe454LkvWkarq9uePHiFdvtLrw2a2NkiYhZkmGcJjhGb7h8/44sSXj06JzDo2OKURkBN8UQRRTYOU3TBkl+lhXBBTrNmS83AejvozeDjw1f22L6jqIoWCzmjMcj8jy45Qa5PzEbcXBnHoyJQm/RdRrrgknPzc2SZruhSCSz6YTjk2MOD+aUZY4Qfp9jPBgZ7V1wrcX2luvrJa/eXND2JoypSIlK5H6P/PhuCTLupm3Z7aqwHicJSRw1kzFK6e8Tov7GZrHZ3Aa2yjo6Z1GpIsvDCVVJ8EBVIshHnA8Dq4lKUKnEexPDcMOC65ynszGHEYdMo+yrl4i+p+lrOt9TJgJpPKmHuu8RxoDVaG/JplOMSvAWpMwQaZjbE0mGlJazZ9+kNSvu3r9k27TBrdJD1nsmiWemwNcVV1XD6+stq6rFJRuyvAhBllqTeEeGAIKzq4o3ovOeTKV850+/x3c+e86ByuivVzR3G7bLNV9/+Zq/+MkvMHnCbDahyFJsq/nw/pKtsZwuDpj2O766uOTrVRUkRUDX9mRpie5qRqOS8cGI4/lzxlmG37XopmVzcc2XP/ySv/nVa3YepPOINI/5aD6wYyLi5nEOykfr/Y8WE2Bvge1dvMGDjl47DzbIkoTxSJmgjQEZ2MZEZQjdUyhD4nuc0XjjaSuJzVLms4zCw812x66q2PU93zg/4jDNceuavt6hnaHqNKt2S5crTj4/5yA1qPUdu8sdk7NzhHfBFWu3Y9PuGB1O+Pz4GYXKEdIzz+ekVuGdxvSarqrp24bNZsvtzZLrqxvqpgryWRkgs0Sl1Ncty9s1+UHOxAu2uwo1SxjlOSoryWWBcoJUJTS6o+s7pPDoqqHpejarLX6ek0b5VZao4GalNY1tyMqUNJO4vqftO8Q4Y3KQcnL+iMPJAvpw72MhUSm+11g9DLHHRaDpuXl7w6t3H1i7lmIL6bGik5LZ0TGff/FNpj5HeUEqM5Jc4BDsdlvaRiO6Gp9ItMixRmFrweWrFZXvcNE4IPUJozIjjw2MSiRJplBWcXe7Jh+XyFpT7yrumg2fHz7hdH6M3hrcdEpZzknk6DcuKr+NR9/s4lNyv9kOPcbQAO6zF2EvDZWxsBpmoR6CNs6JPfMV/hY3ahvUGeF7u18bLHf7Isu5EFkk4udaD7U1pKOUxcERonvMndHYtgbrcA60DsP6QjX0Mb5otdmy3lS0fSi01IO8Oa+iYZjz0ck0FBWJUjx+fMZsOkEbTVW3rNYblssN76/u9t/PuqERHkrHgIp3WtN2HUN+ooibXlmOeHR2ggB018YGwGG1xuqOXjtev73gxesLqkYjEvHgvITvYQeHwIfmDR9tjg/YI4Z28R6J3xsJcX9th9xLvB/GpwJ7HP8LMlSH9AIVr2lApXtSJTmYTZhNSvCWvrNBdbJr0NoymkwoRiPyoogy0pBzi7PBXKFpaduOoig5PpmyODwiL8fBvEOoWGf7PUpdbXe8e/uO1Wod5gjj+ZDxtfjIJBqt8WVwXszznCwaIA1zLHuHSw9at/SmxVpDNswFysDMzWewmFckKmFVr6ib0IypRJFkKVISMxyTEMydZyRJysPoGTkoXWQo1ndVxfsPV9zcraiaDqUUzlqyNGM2HTOblCG2IM7fhCYlMF8uVGJ4EUwbdK/ZrCtevf7A9U0w1JBSRsOTOOv7a7Jo78LIyWCRjxAkg6FEmoa5xd9RZlHXVcTFopIi3gtD7uLA7jHEhxCaODWws/F+3Mvx4zwUsKetwhy1ZchX9ENTOcjEh0xA2Kc3DPmOg3FRJjyjckTGEV7YAI63FcZ6jOmDmdYAeGQJ1hjWmw2rzTbMLNqYuelCRIBUklTdB7PbOKuZZRlPnz5mOptGt1xB12tul2uu71Y0XR9iyAjz3+1groLAOLi6uWO5WnJ9exfBsiBj9t5zenbK02fPQvyGtXEvCLPd2jreXlzz9sMlrdYIkSBlUKwMwND+iE21f+i8HVepfef9a/frr33W/s+9CiMwbCJeO4lC4UkkpDLkmycCpI/RFqZHCZiOC0ZFhtWazmiqqmK3a7DWMZ5MmC4WjKYzVJbTactyeRtyLJ2nbWpGoxGHBwsWBwfMDw5IVfAicXF9d1GC2zcNu92W9+8/8OHDRYg48bFmUYOkNTB0zhqKIqdrW8pyxPmjR5yenVEUowAUBdaEQcZpXTAmq6saIRWzacFoNAbnGY3KcE8Zw35Djw1YlmfkeZC9JmkS7vP9Hhi+98cAZrgKm23N+4sbLq/u8Hjm44zR8YKTszPOzk6ZTMakSeiNvItxH8bu2ckhKsVow2bT8OLNFdd3W6y7V+4k0atlf9s8UEo5B23T0nc9o8mULB+R5SUqyRBqmOn+dTji4+M3Novr6xeobIR1oamQWU5pPLnqkcLg+ibISqTEGoNCkuUFvfCkKsGLBCGDlb8SkGcqOKSqAms9pTUY7+g9WG/pTYcwBqljEKUEj0GmDpICJQV6s2Tb7rCmD0wYCpVmuDyFecbh4QHbu0tub64QQJkk2DyjcybIHZxm5wV1F9iiRvccLA6j21OU+Yjgitp1OkirIkKDhM+ePeEkH9Gt1ty+u+HubsNXX7/j5y9f06Qwm08oZILXnuXtmve3d2QnjygmR7z84b/mcn1LOZ0EyZe1+GJEOZ/y5//49/jG88fMBCS9pl5e0+8qNndrXv7qLf/qR7/goqqgyEmEj67HQXaINVhvw4xBAAuDbMQHSUPoDWNxKkKzIxgspAM97YXDmpAxphKLzDKSNCNNCrJyEhw+hSBFkwBFIpmWEi8EOpWMijAn2jgLWIpJzvPnjymMo91usaZju6swWc7s6Rmnj445Lsf4NjC+7243fKp7PGOatqFVhrMvnnIwO0BaGVz6nEb0LsgGooFM19boqqPeVtxc3PHy1Xu2XRcytlwwLKGF1794yTJ1HPgjlFIcfnbObFySKsV8fIBoNaYPjmkB/RPYOiBPViiMF5HVUOg2OPSWZYbpDTo25h5Jmnoaazk8O2WUF4zLEZlP8cLgjAm5SwKs0Rht6ZoWo3sEin7b8aO/+RU/v3zD6HSEziRPHj3ii+9+i7P5GYdqiq+34ZmLrJbVmkRJnLFY6fBKIlSCbeHFl1f85Ic/58X7N/TekohgrZx4ie0dNpdIFeIATK/Jxxmq8/SVodr1uBKOFhN26w3J0QGTxQHClSG25XfsWN1cPkBohzd+L8MaYhsGo5ogq1SBiUizkEuX5qgHQbdC3MfcDlKgvYvn3tnuvjn0+0bR7Z34huIiHAKLR2GYThKmB8f02xWV1RjbxQLE4zuDpUU2fTBTqBqa3uxnC/Exp1HaqEIKTaLz9+HFo/GIp08ek2Yp6/WKFy/f8Orte25XWzZVS9MbWm32zWWYOQrzdF3f07QhD9W6oRIMNcp4Mubo4ADTtVQmSMCs6enbMOu2rDT/8i9/zNdvL9E+QVgX0fXwNkQAPdyQ/YOzE/v1j4qmWLwO7xsKq1/7M/yM++/jY2MoSAgNovQ2THjE2SHT93hnycuC6XREomR4zUbT6bAvzmazuDkXWO9oO03bNsgkxRFcT43RFMWI0WjEdDYnK0uEStjnkMXG2BhN2zRcX17y/t2H6H4aCt+B0bVGs9vuqJsq2MOPx4xGI/IiDyDBPsD5nmVTaUKqE6rdmm3fMypLJuMx2WgUTGxKxXw2QylF2/Z4D1k0YAjS4nJvqDA0mUKoB2i1uFc6xDmdy6sr3n24YLutMd6RpAnzaWAsFvMxeZ7EWdEHDKInMKXWh3iO6O5XVy3v39/w5u0ldWuiSY2POZRBeigHhtAPv1Jgh4MxkEYmYb4xzXKkSj9iIX/Xju3dFR8/NfFvYsh7DdLtgH+JeD4DgJAmCTLNw/0Zoy32z9HAfrvgBI41gQmMcl/v7b6Yvl9kPcMqKeOzLKJazMsAZJZZTjabU3cVTduidYsxBqk1vQnGXIkMMsRdFT/HmCi9FEgZABWjgzFiAFj8funNsozjo0OECLOMy9Wa12/e8/L1ey6v79jG9a7Xhk4bjI3rphTUbctmt2Oz2eA8pGm2d6EclTnf+dY3mU/HGG3AG0x0Rm46zfVyxy++es1qW4e1XoSkADGoJ4YdKQbXM9R3gyR4rx++P50fXdU9Ixybeu/i0yjjCIUN31KA9MG8KxWKVEAiXIjQIBASLhomZlmyd0Huup6ubajrEIU2nk6ZzhdM5gtkkrKrau5ul3ihSNKcyXTGaHSEkoI8D87Og9nSwFT7IWuwa2jqHXc3N7x+85bb5SaYEcVrao3m9vaWardltVpycnLM4eEhBweH5GnKNMYA7dGNeD6GPT2YtQUH68l0FnNl0z2I0Pd9rNHvlUBJkiBkShYBtwBauf33jD/kozd4wXrX8OOff8Xf/OxXdF3PYj7mk8fHfP6Nz3lyfhbmqmU4By4aHFkfZwyjaiNI7T113fH+YsXb97fsao1xQ76sRIoE74kjBX6vAHceemOoqhptDGmeU46C+kMmYZ0d2MvfdPzGZrHqKpSxOJmg8oIER9PuaNoKs/mA6XY424FSeJmRJmHOMJikJKAUIs1RKkN4kGlKXpYU+RilSpBhwSmzEuUdrQm5XB5D121xfQU4ZF6QGo2tNE0V5IzeWbqmoWkblPNkaUaunvD06Qmr6zesVgnGw1Ybml5TCMG6t5RZinXQ9QakoNcBjcqyjDwLrk9KBNZ0u6poeo2O0iwnBLOiQNU973/5hl+8fMfLtx94c72kJuTRSQ/OOHbrmq9fvKVPUz598hnN9S2vbm+ZHE4QxtO1LX3bMTk94/jskP/1//gfkhlDu63Q9Y7byytev/mAVglbY3hzt8IJER5elSBVHLoVwSk2jANJvOsRzkbbfh/niMLcTbipo5Aq7Ajhc4zH4ULEmADnTVhsHCQimPxYIPUWvEVKzziBaapovSAr4rlrOySaRITQ59IL7GaNqbf0bcdds+XpN3+P47IgMxZdt9QtXF3t2PWatu3Z1T3pwZzHszGHszm5D/ruNFHo3uF6g3ehWax3wQioXm75xV//kh9++TVX1ZbWasDjjMX1lpc/e8HF9TX1WPDEPuX8/BGH4zF0BpE4cqUIajdL3zXRLl7R1S3VtqHedizrhtniMEgEjAPlKUc5Tnvubu+4vLzis0+eMTs+4mQxYTKZoIxAWQHehEXFeqwPIcK6N1gdBqD7tqdZ19xc3vH6zVsu2zseHUlOz8757Bvf4tOzLyhMguw7wOJiDIA2Gmu7MNclFV7m6M4jc8X2quLmZs37iw8s6xXG+4ASqjAnVreaPDVkMgywTxYFRQ2X1yuuVzveX93w+E8+RTlJejBmNDsilSP6XmCc+Y2Lym/j0ezWoad50HyE6JP7mAZvwhwCw0ZLZBpV2AyTvCArSrK82DeOIg6KhLB6HwqpmC/mrQ0I+4C+R8lpHFR8IPV64GrmLI3tqZOCcTFmfniErnaYPjgtO2OxHjrbgScwfL3GGBsKhhhDZGwwQxqc8h7KO8EzGZccLOZ0bcubd+/56Ze/4uJmRaMt2vo403qf8SVQEC3hjbHBoCSiyUMxgHc8fnTKZ58+o8gUuq7RXRecB/sO5+HyesvPv3rNttGkZR5/H8e+7fYfN4j3xUCsmD6aoQrn7mN1zccMpHj4Pn9vfDKkZYZcRRkAOlyYZxoMj6JMLEsVWZZgraFpAhIsVShYRuMpeVkikgTda9bbS5rrG468QCgVI08K8rygHI3JixKRKESUB7towKJ1T1vXrJZL3rx9x9X1TQwTDxJiIcI1XC5XbDYrjDU8f/6cyTRIhuUQzhiry30z5ENjgIC2bbi7W9KNw/x1XpSkKjQLDkHddPQDU1qWpFmU20WZazBlivdq+ClAvLekQHhH37dc39zw8vW7fTZdmqWcHh3w9PyYw/mYoshRKiDkKqIMwd0xmO0ZEzIiex3iY1arHR8ub7lbVyHbViYkCbEYHSRW7OW44XkM/zY2sO9lUQYjnrxAquSBJPP/7yXkt+Zod+vIOgyMCPeFtAnyN5zGO7u/tiADO6uSEL6ej0iLEpUW0YZfxdohrmfehagfa/brW8gPvVcBDL+BiGuOiwZXgV1MQEg6b3FFQj4a48YT6s0SbQ3aaLwOzd2mqgJTbIOD/sByDgJiT/i9rAso55A9a+NaMhg+dW2INvjlVy/56sVbbldbmq6n682ewbf7RlHuG4Y+gmZCCJI0FN+JUjw6O+Hzzz4hUSLItbs2SNfbjm3Tc3F9x+v3l1RNH9nwYe160Ew/7AR/rSkc+sb90JEfsmQHhng4AcP6OYCPcY1z7O9z4UEJgRKeVBDAMeJbSZjbJrijZmlQAbRtmB31CEbjMZP5gslsgUpz6qbh7vaO2+tbjk7OmM/nzA8O4/iTIYq+9s1ukIeGjFbdt7RNTVVVvH33npev3rKtWqwjzudr1qs1L79+wd3ylixN+eLzzzg9OaOMxpkDODkoSgb3bKODQdLt7ZLr6+vg7jyZhmiJKG++ub3bR+88dBMNagP2DdlDIHe4LCHCJ9zjzjo6bfjq5Vv++sdf8vbilnGZ88UXz/n2d77N48dnMdoojHHgQ0yR8wRoNLKbXdvR9watHetNzdXNkm3VYszgkCru70cfMpidDftCACE8XdfTth0eQTkaUY7GJHmU5kJk/39zXfcbm0XbVvjE4tIRqpgiVYZpduh6iTFtYLKSBC/kPc3edwjf0xmNVCnpaEY2OcZmeZAF7BpSrcgzQZ7lpHmGXK9Yr96h9RovIMlShHN07Za+q1A+UqxZAUWBkopSFcjxlCmOzXpH02y5XK753n/yJ9jlNVVdk5Q527sVy9s1H5ZrsjRhNCqQhPiGNE0xBKTHWYsgpywURZbQ1i3btsVALO41T06eUKaKl1+/5tXbS3785h3vb25ptaaYlEgI8ydVz8tXH1j3HYvDBf3tJVe3t0wOxhxMJnx4d4U1IQdG5jnf/OwJYwnVzQ2uaXh/8YFOSL74D/6UMi+5evWe//P/8b/aP+xeG7zXwRgiSUAmJCg632JsXBytjXPkCumDlX1QMMQbPGZODYg0w8fxpFmCkwrSFCsUve7CLIy0WNeDhEkWpEW29+QyIREKlQJa45A8+u6nqNSj+wbneyrfMv3iEefnR4z7BLetkOOUqu5YVh2N7tk1NQeLOeenJ8zykhRBgkP3BiFAWUdvQ5Ft2x4XNeW7qufV+yteXr5nqwPKJaOVdVe1fP36NX3imZ0ec3J6yMF4EmS+XuKEJXHEYFPI8xLhNZ0xZOMce7HjZz95iT3OOCwfhezHtqO5XrG82ZCMSsZuRjYumMzHjIsxSmSkDpzpscZhfGBsvfcx89JjrKFvOrarHVXVcPn+lpvNHVtb4zJBPiv49vc/57PTp2QmQeJj1J7Ay2h57kMupjcO3TvqNWyqns3ygrtthTlwJPMEvQWvQk5aqiRZmuC0o607/CSlUDlm23GzadnanrvdDjMrGS3GjEY546REkoAPGX72N6sVfksP/2Ajjic3sorC3wfAi19r+IaGw4iQ4VQlCSrNSNIcmYb5MKWivFsGc/XQDEbJytAsDizjg58/hCQHZ6JgOCEITV3TaZhMOD47x3cNfdvFcPUASnhEdHozaBtYyoAgh1nLkIl8PwsIfs9kSmBclkiluLm94/XbD1zdrahjTEYkWRmMMO7LzmGOzd7LIyMj5DzkWcZ3v/Mtnj97QlkIEh+KhjQRyHFolm6bDzRdeK6luC9Uhz7Q2nBewozkAwfFe154f+znAod/P/j/PZ/Ig38PfxP7dVLGhlER8xWjlbyLRWaSyBjNEGYY8SFSqhgXTKZTitEkGokF07D1esOu6hhN5swXM/KiJC8CuJCmeZAERVmzJziq9l3HbrNms7rj+uqKD+8v2WwqOm0jIxzu06btuLq6RSWCw4M5h4eHTMcTxOB+STBqeHhGnHcYHXLR2qaha1sEnlFZUhQlohBUdcvF5Q13qy0qSVksFpFRDFJU3BDq/befqaFvF95R1zsuPrzn9Zs3rNZrtDHB4OJ4wTc+e8KjkwV5HiSDCBFYxQf3pncuZlb2NE1H12u6Tsc4kI66C0CGR6CSdC8nHSI2ArhzX3NbG167c1DEZnFgI+4zT/+OpeK3/Aiva/AzCO8TA5YgQ5RFaOoCwLSXnFqBlRKjG0zfovWIJCuQ0Whk3/7t1RL3MtR9ExSb0kF58VH/s7fiVXH+ObAsMkk4PD6gPJ5xOUp4++Jrlrd3wZ1S28AiDs+riJJjISNgHmsbFzMQI9hg45roESRJYLh2VcP7D5d8/fItF7fB2EY/kKwOa9kAiCiV4GOtkSQJvb/PKMzShMfnjzg6PLg/6T4Y52R5TkkAa7a7KkTUqTSci2Hf+XdeuI87RvHwXt1fzAd/9w/WRe/3l+EjQC02VYIAiElC6rb0YQ1O9s1jyI3EB/m2kyBUwnRcUo4nFJMZaZ4Hd+7NltXdCu88J6chmD4vy3AOjYiyztDABl8QG03Weto2sIrr9ZpXb97x4fqGpu3Q0VZAWMdytebi4hLTt5x++gnnZ2fMp9P47MZsWMJ9O8QtGWOpq4bb2yUXl1ds1mvyPMNoje4NShmWyxWvXr2hbhqKPGc+m0W36FAv71VB3INjA4trB6BCBOay2m25vlvx45/9gourG5xzHBzM+d53v8Xjx4/I8hTvffQE8HtvAz+MjwmJ84HQatuepu3Z7YJJXfCBCdduUHRIpe73ZT+c1wCyGR3MkqSUlKMJWVHcxw/5sLn+ffPZv7FZHJ3/XqCMpSc3PdXlC3pdIZMckeTxwXZImQ2TygiVgs9RswlJNkVlI0SSkEmFykKgaqISlE9AO5rdBW11x3Zzga5vKYqStChIi5ApJfOcrm7YVFvUdsfh8Tmjk0MMDtsHo5AsSemLKVU5wjvJn//ZH3Dy9Jjr2w1f/fRLTNuwvrNcXq8py5zJZIzKMlSWMsnTMPdoHdIZMNDWPet+F7IgY/3mjCfPUgyC66bjxz/9GRsX5KoqBpb2zpKnBRcXSzZtyz/+H/0nLGYL/uV//c+RqeRgMmF5fUvvLEop8tGIViR88uScZrOidZpyNuabf/5nTIoxou+pLu+o39/x1csV4jjHOo0wHV5JEpEFCaP3GO2wpr93ztqvAz6EZkQEKiAYg24+uOcJJfezIRKJt45UJsjY8OfFCOUtietR0lEIEU0eLEIIjG7IspLT6YRfGUfvPMoLjsoxSdfSGsv07Iinj5+QbSqMlRir0Z1nc9Ow0T1ulnP25ITH5yeMkhwZERrd9UgVhoKNbrHe4oWkcwYr4ObVDR+uViTTEh+HnV1kcZCCzWbHcrHl7PET/uyPfsCT+SFp4EFC+G+vaXUVEEMJGNh8WFH1LVjFu+sl+lAxPR0zLjN8b9i9vuMnf/0zfvb+NXKWcZhOmY1GzMcThJWoJDQDaSJw2kaNfIgZ8AiE9ei6p1pX3N6tKeZjeqMhhbzMKQScf/6IZ+enFKRIL8EbEB5hLc6JMKdrHLLtqfqAlN7c7riqKjbNDfPTnPPJIebuG3z91Qf8WIU5yzylzHKMtezanl5JzlRGvbljclhidoau6mmyhrPHh4xUEjgdlaKEQnqB079xTfmtPIaC+m81iiR4EZlFIhzqJcRsUhFNG0S0ZMdbrO6wpkM0AUQbZgRFLFZlzHADEUAb4sfFQ5OJ0MyIWEB54WODFD7c9xohFM+ePufJ0YIyzfj6q6+DO6Zz6Mjw2bhRQoyu2LNwAc21DxpUT8yuiqHnu11FXVXc3N7R9/a+0GCo/eL8nwgMkIzo5r3JQnSGixL46WTKNz//jNlsgrItqizIUoX3lkRJkrRgW79gvakwVpFYG2frQoMthvO/L0rZ/z28X/LRL7m/uBEQi9Wpf9BiDq9lL9eK50LgQsFEaBQT4Uhj7liWJzjnSVNFooL5SrBH7wMCn6TBtGfIFIyzoE3dcn19h0cxGk+YzBakUe4vVRYKZBFvPRtk633XsFrdsrq9ZbvZcHtzx2q1iuHUBuPEfo9qu56qrjg8mHP26IzDw0OyLAuFw3CNTUDZfZS36l5TRRmdMYbpZEKaJmjds16vqXY1b9/f8ItffM1ut+Ps9JjDwzkQCmcVDUmIbIWP67b1gDNhfADP9dUV796/ZbNcxrmigixLUUry+SfnfPLklLJI48hHuHf2bsMR9DAxDLvrNL0Oap9gFpKSZhkOgixrABOkvHf+/Kgris+XD/O1UklG4wllUaKSZM8OMOwjv2OHVGm412U8L94PVGtQqDgTmGCn7lUV0eNAChHqhSQ45RvT72fagPi5AZAQA6P1EIQbIJuYARcfzmgqM7yVCJnEnicUsQeLOZ+fH/DtTx/z8vE5P/rhD3n14hXGtGgT12AhUEIG4EIN5byPIK0DAwaHNgY7NB5Kkpch1qVqWi5vliw3FZ029OaBp8BenhsY1jRNSZIEYy29MUiVkMTXqaSgKHJOT08p8jw2l4IsD5FTaWYRSWArl+stxhhSle7XTbivO//WPPa+EYyv72GjKIb3/h2wzb4uHBr5EMvE0BgKSYJH7R2HBYMp8DCrKpUgiSNnXdcxGhUUoxGT6Zx8NEKlKdYH1dxms6FpGsazBYfHp6R5GVRtwwuTERuNqgHvLEZ3NHVFvauothXL1Yqb2zuaNjj+e39/j+yqms1mx+nxgufPP2UxX4TnNaqehkgk5xzGGow2VLua65sbrq+XVFWFUgnTyQQlFW3bUjcdP//yl7x79wE8zKcTjg7mpInarxcDM+sfnNdQS9v9frTb7ri8vGS9WbOtW5qmI00z8iLhi8+f8+zpOYmSYSZykH9G0GFoPNk7FgfgMOC4ATjJi5wsS0hUuBdxHqXEPevpg+pncCUezM66LhiJTuIaH8BUH436ft0U528fv7FZ1Hfv6KViK8ICI4spZCOEaQP6l43IUhUGpkV44TLJUOmCLM3xzpG5DlfVON3hfI9NcnQxDvkpzmNNS9+s0G3ILHHEAqfZkqqE8XjO7NFjjPP01Ya72yu06Tl8dI5OM6yFNBeM6DjKRlzdbfjDpwv+0ZM/IM8L/tuy5P/2X/7X5EWG2ziavkNvLWVRsDg8RHhIktA8SB/MH7Rz6JjNMx7ltH1P70H3mrQzPDk7ZfOHv8dPvnzFh5slaabIcxkoZaN4d3HF9MkjvvONb/HX/+Jf8dk3v+DZk0f8zV/8BZu2Q2UpptMkeY5NUkQiyQ/mPP/kE4oYT2K3NbvrW25ffOC/+xd/iToao8Uw4B+aWyeC3X1wbQNShXQiLtgi7t8e721E8yTOCfaShH3xFTZWD9G6WWJ6g8oSpDNkPpj95BJSIFWWBEHTGUgyFtOSxShFdprWC8RsHJ2bXLBWH6Wcn56QyRzvLW3XgFToznO93FBZz9PPn3EwmjCRCamX6L4Lq5SELMlp1hsa1yO9pNtWIBXbyw3vPtxw4xp2tgtzhfuB/OAauNpVHHYttW4wVoMH5UPz7wdzA29xOsyurG8qrlcrLt5fcXG95PD3HvMn3/w+rnaMfEJ3uebLv/6SH7/5mhe3VyzSIz751nM++/w507xE9RJvXJCGSbA63tPWo53H9xaz02xXO95fXPH65gJZwPm3nzC9Tln8aEZ24vnON59xNJ6SWAEYtOtJZSyces2ubrHGUd2taMYwmywwYzh5PucLecCs79leWrqdQaUZSjhSpUgTSVlmlFmKMRpnW7q+5vzxIWqteXG3wSeeT771hKlTVL1ldDIjUSUixqS0XfcbF5XfxiNJ0/1mMLx1XoL0iLjpSCHxKgk7eTJIRomunkOBCfuG01m86THOIvw9exiIk2D+McwDychAIgcJ3D3yPgznh2/rggs1YT7m6OiYw2fnHMznCKn4yY9/Std0aBuKogfbWogxIm5A979xRLRjcyolmUzAw3K1Rni/l+z7SCk/RC79sCHti74wr4ZQICxSqH1zNp1MWcymoVnxRNc/C86gfcKLd+/5l3/xQ27WO/LJAmN0XNuCgcbgSjpsiEOvuDdqITTV917Q0WnW33+hjwVSqFQsg3nNcA1Dc+hRhBmeBIESCiWC2ZmS93NAwZAjXKvBtCbLc4rYdAzMLkDXa66urthud3zy6WfMFguSLEMmadhbk5QgnPPR4MDQdTW3N5dcXVzQVDu8dXEuq6Ht+yinC3l4QgTmBCE5f3zOs2dPKUflvkEOFvfh/jG6p+ta6qq+zzkUknI8ZjwekSYJfd+z3Wy5uLzjxasPvL+4RSrJ558/4+RoHg1/7lH1iK3c3xvWIaWgqirevXnN1y9eAJ6Tk2OOTo8ol3cst2sknqdPTphNSoSMUkRn9s+Wtz4g/11H10T23AukSkiTDI+Pkj/Lm4sld+v6QWEcLVT292SspkMQWYjMMpZiNGI0nZIVecwhtsG/YGBifseOJMvx+ycfhiLRxzgg7xKcs0gX3O8ZZKX7IzwBNqp86CMA49x+VQlPRQB4hmZG7hvCoEpCRtmyUPeWw1IgnABvQQS12mZjqOqGUfGYxeGMk4M5ozIP2XW/erGX0Ct1H0Q+NFKBtLERc/AxJii4Pg9Ok+NReF63u4rlakvTa5wP940XLorg/b6GV0oFoCNJsN299FolgdkRAsbjMaenx8FJ2Mf5MSGCNN/D3WrDT7/8irvVNsqeCQBOBMc8fj8/Gk9fvFSxXtu3LGK/7n1c6z90q7Wh5/CAC+daRDBmv84JSGU0tAEUMjSKSiDjnha9fzA2xDWlRUkxmZKWI4RKotlUT1M17LYVWhtm8wWT6TSoveKa6YUAJ+6fUx+e8a6pqXdbdtstVVXRRNm7j3LZ4RQ466mqMC70+PETnj19glIKY3RY57yNYxIxz7Xr2W13XF/dsFoF6fsw3zibTpBSsdnseP3mHT/6yZdUVcW4LPj0+VPOzo7284Rh9MTvz/se1Ir3vHWOq8trXr16xW63YzKbcnCw4IsvPsN4j1IJn3/6LBgjujCCghkcq0OevBgAgBh1IQTkeYFUGXlpyUcGlRasdy3LzY7UhBlXpRRIiRPi/n6N65/30GmDto58UgbzoSQLd8geKOLfb2bx5Is/wfUNplrS1Ct0tcabHu0tSRLyiwwSMZqCCS/Y4XB9S99swPTshAeZByReAZ0m0S0ScF2N67ZYUyFVMFsxtsH1QdrQ+RANMDI9o3zMqByTnT9jW1fcbZZMp3NwAmN7vDeslxu+envDt5/MOSpGFDLhn/3Z71Nv1vyf/q//nGJUoPtw8zWtJifBqZwSQyEdeSKCxFFbENC0MYC66UgLxfz4kLe3V7z96a+4u92xur4hySTlbERZ5AgLL9++Q+UpB9Mxf/kv/hUXl5d86/e+w4fXb7nd1swPDsK8omsRKuFoPmc+nXB28oi0a6GPLlA3S159+YJ/9Zc/51/8/DUuTfCmQ3qHxwbbYMLC5QW46DrivYjmAkEbbveFq9ub9TCUjXsdtozBuMEVSSQJSWzUgo1vTyYFksCSOeXRztAaT5blKKeRXU2zaVGl4pNHh9B1rJcr8sMxxycnTMsJwgAuxSeWROTcru64qzvcOOPo9Ig8y9DG7lET5zXShXgMJRS5zVhd33Jzecfbt1e8XV6Tno44Pzpm/Wa5zyEKwbISKxTaeNQ455u//00+OT8nQ2K7HhKDsI6+bYL+fhMcVXdNjxrnFE+nfPGdBZ88e8pY53SZQRjB7m7Du5tLbqotcqSYnIz49u9/xpOjE0QP2MAyOadptcN0HUI6hJcIL+i2PW+/fsvONGxdy7M/fsp0POawKLm7u6UsS44/X3CyWFCSxqgZi3GG2vSYXUvnHXUfGshGWUwPN5stiydTjg7GFDbF3W657ldcv7kknZUYUyMUqFQwmZWUZUrXCIyzFIsxonJcv1lysdpg5jlH8xlOWsZHJyRihncKj4umEr97M4sqSWLHdG+tLQZnMyHiDFlcyF2wHh9ko35oHgambe/6F9Feb/EugGk4t58xE0LiZJwDSlJIM2SShWdShrblo8ZRBDmVJwzCC6VIs4w8z3j27BnWGDabDb/81YsgO4mL/0CqhQ37YYko9nM9e4YBuQ8nb5suGEkZu2frB2MeHxtXH7+LIDxzSg7NsIhNXmAKEikYjQpUIvexGt76kIfWNlwvK/5f//rH/PDLV6SjCUm8HuFnhN/WPfhV97353yYRH3zOIK1/8H4+/pph69/Lv/z93wd0PRH3RZSzgY0L0YbREMgFg5bJZMJsNqEcjZBRmmqNBu9Z3i558+YteVHw6Refk+YZjjAPOUjJIGTIedvTNBXL22uuLi/YbraBmchSkkSF9cA6rA2MSZDdBwOu0ajk7NEZ09mUIcoEAOexWtNUNZvNhs16RV1XOOcZj8dMJtMwo5hlJDJwqtrsePfhhg9Xt9RNy9npMZ9/9pyyyBDCMRjw+OjUN2Su2fiz6mrH65cvefv2NUJKnn3yjEePzkiylN5oiiylzFMWswmJEkgRCmS8DrO3Jpzrru2Cbb0JMS3BkT1EcoAgyxIey4Tf+46l7TUv392ibajsjXMRmIkMfjT5IQIV1nlGoxFlOQqGLfG6+4fF9u/YkebZHtdy97rEfZEqSEKunA9uj4JhpnoAeYZrHt9vbTS2GUxU7o2iHoLSIkaRiCiZUzIJ0jnhkT7M7zoRwJqBZHMIml5TNz1KKYosJRFjvvGNL7i+vOTq6pab21VY63wAvZUK+a4M7Lm1WO+wLmbcWRdnGz1pojg+OsI5uFuuWO+qyOrF5sQFwN1aFxsWuUfwhsLe7cGSwA6lScLBfMbp0SFpkkRm32N1cE++Xe/4//73P+FvfvorrA8SQu980H0O99s9xveAORyK+2E1u/ew3HvdDOjiQzZ9f4XjFXnAVg6gihJBlTV8qZRhhlEQxgqMMXs5sZKKoiwpx2OKcoxKMwTBgKtrO3bbLdvdjiTLOX30iKwow/7pYYjkcT4Aac5ojO6pqy27zYbdbkvXBifbPMuYjELmYHhZg/oGrA7S4/Pzc+aLBTLG/Rhr0FrHXEFH13Vs1hvubkMmbZZmHC0OODw6ZjKdIgh70N3dNb/61UuWyzVCSM5Oj/ned77FYj67P4cDABVZ9tBDB3Cv2lV8+HDB+3fv8d5xdnrK8ekxeVFQjHKsC/4UhwdTkuhATpzvNX2D7jqs1mHG13ukUiR5QZqXZOUYgcTYMFM5WxiQCbuqpetvEC5EUqVZ+revvRhAZo+UKqx1oxFKJYGBtGa/hlvz7zGzuHn70xAmaXVAPJIxIpugshHZaE6q8sBYDFkn1uKlCq5R/Y6uWuN1w1CAoGu8aTG6QziL020wVUmy6F4ZKWQMXqWooqT3Hr1e4qeOyoS4iTQPBVXfdaGAA1ya4tKcnZW0fYi5UNbhjeUbT0749OkZTnqWyy1d1+OMpW96xMkZXVHiTEdfLUn6ChkLAYGgqhucUhydHPHpF5/w+PiEX7xa8fJ2SZN6ZuMJo2yEt56Ly2u0kCRZim4NL1evOX70iK6qeXd1TT4uyfOcptoFZCdN+cPf/xaL6YS76zXJrKC5vmRzecOLX7zm67eX/PcvL1gbHZD1uOHhwVuHVx4RbFFDNlZEKIaN0UsZkXUZGj/E3klwYBK9s2HBduFBVGkI6NTGkqLw0iMzRYZH6mDl25FSK4VLBKNCYUxHU3nqi1s0jlmaBJe51DM/XXA4PwCrkMJTbzd4b9msdry7XHHdtzz+g+/w+SfPmKucQgUHRB9tg7uuDVKPbcWH1x+4q3Ystyv0ccKn3/+co+kMeed5I9S+EBYiLHRZnuIQ5NMR5ydHlD5DOI+xHdZ6pPE02xpte5bvV1yv7uhzOD49449+8F1yclzn6DtLZ3vQms3thovbG1p6FkcTHj0+4dmjR4zSMtq5DyRGYHC98GhtsK2m3rSsVhVvVzew8Jx9esjT8zNGlPgWLpo7isMD5uWUSZqgnEP4Hu8Mpuvpqpp2teZuvaN2Bp96ZmcHjGYTxuMxmRLkXuK0wWY5o8/O+I/+9/8p339/zb/6f/wruqYKBb1QZDJFO0txWCKrjl3VkBxkzKo5MkuYT0ccHCxIZIn3EqsdUjocFt39DjaLasjqiuxiRED30QwPjFr8sAAPUqb9XA/3zaQ14GxE5QdJHQ+KgMj4D+6BNgT5qiQywWnC4LYVnAnVfqbAeYfxYJE4gulHIhRPnjzl9//gD2lazYtXr4NLZgSJwtoBaZIECcp9CbL/lUSMAknTZC+x6mJjNDSTgUni445rX2CImNeakEiJEQIXxw5SBcdHB0wmo9B0xnmxza7i6vKaH/78FX/xwy/ZNBahUrQN5gIDo6EG5oH7X/jvLOOHQupBBbWPBIivVwzX0Q95YwOWHxUZkTNTIhrcqJA7Jglyo74Pbqe7KqDnZZFzdHjA4dGC8WSMijmnxgTH5mpXcXFxiTaG5599g7Pzx/vZRBGVHd4FuVvXtVTbJXe3N+x2QRo6mk4o8hwJrDfVvsi3/n4edDBsmUzGzOdT0iQJa70N37vrQhG32+5o2xbvYDqdUZYlRVmGgm8f4BzAAWM9TdvT94Y0S3n29JzHj09RKhqGGM3g8DsYPwXJk2a9WnHx7i2r5R2L+ZRH5485OTslzbKQT2tCAZpPg2W894MpisUZTd/2tE1LVbWR+QzGDKNyRJYXoRmPRZFznqLwsXgtGP34V7x8e4X3jq7v45zZMGoRjSCiyYlSisl0Sp4/cE4cbqG9rPZ36xhUFMO6tC9cA+1KiNeSCB+l+XuH5ujSbAwQTdu8C3lwNjigehuNtOLXDfylj+C0iBJTqRQ+SZE2QcoEn3ggCWMkMSB8P98dQTwJJFIgk5TFfMF3v/89rq5u+Ou//hu2u3ovq3Pek8qEJE0jOBfndEU0DxkcnAVMpxPmiwXr7Y4PV9fs6iZEcrhwf2hjMNZEVnEAdiJLKYluxNHZHlBKMioyHp0ds5hNwFv6PtzXum/YbHb85Bcv+Tf/9idcr3aIKFW/X5l+0/GgYYQHIFP8UPyLePi5D7+WPSwQ/r7/Uh+lqEHMlcggN1Uy1PRNXdM2bVRLCSazKYvDQ8aTKUkeiCATY4TqqmK13tD1hvNnjzk6PUMmSdwywr3hrAnqhramq8OoQ11VdF2Ld46iKMnShMnYMJtOSIYxqfiagg+Qp8wLjo6OyNJ0D/70vabrWvpe07Yd2/WG9XqDtY754oDD42OmsxlJmuN9APOcD7ngq/WGXluKPOXp08c8fvwIpe6dQgf5/iC3d5ER3e22fHh/we31DUWR8fjxY45PjklShbaWVEnGZQ4ip8iD/0R45MKe37UN7XZNvdvS1zUAo+mUg5NHwaQrLQIJ5Dwqgyz3fJYVtL2l6TXL1S5K+tWDOK/B+ToQAt57VCIZTybkWRE+Fl9TyJrV+zzlf+e68Rs/OpkhnaeUGSopAt6mG4Q3KK8x1Q7b12gsiVSx2fNk+RipJCJLMfRRSlIjrL7fpKWEco6UOdgOYTcB+XChWXRtTSIkKi1wSrJrGzIE49mMtByDsWAdxgv6XY1KE/K84JPHZ+T5mKbu8ILgyofnT//ZHzP7xSv+6l//mMv2Fu9BNw2HxQg/PwSrSRKBqDzShTBX7zyj+ZRyMuLx0zPy3nHz5orlbouRljLPEV6yW1esVju2XcP4YM6j2ZTJ7ADdNJydnLK5vqZ3hqPDOU3TBeTi6WM++da3+IPf+w4HswUyH9NpyeWy42pZ86pueb+reb/aoq1lsNVVUgTGwoFQfj/j8jHzwP7mJqIg+yKPwBYSmQGHQEoPatCOO9JMkMgE4aFIFZkEocOgWpJnHBxMKGQoVSeZopSWuqq4XC1prUU7z+RwxrPPPmE6GZPKLFyrvsN2PV3X8ebtDZe1ZXx6xCdPnjBGxeupkVIGi+mmpulCPMv1mw/88sNbpp8ccPTkEWdnJ8zSMbLRfFh94ObNVZS0gZACYxy1rkgyKKbjwGw6sMbgOkPbtdhOs1qu6Om5a9e4I8k3v/sFJwenjGSB76FpKrqmCSxt57m8vOLW1DBVzI/nPH52zuF4DiY8lEIEN9y+7QLaajTadHRVx5u379mJmqPvHvDsk8eUsoDWYY1FbwybTYXKE4oioyDB1j2N0SgJutN4b2nalndXb2nSnvHhiJKc49Exh7NjhCY8j8bRGUM5m/Ct+QHf/fxTzqfH/PP/y39D62u89vTa0jvHIk3pdjXFLMMvNc5J0iLhcDJCWIcqUnQn6VpLkoWtxunfvaFF/2ssVejtHiCx8d976cyDGAz/cCNxISfJ2zjwvDd7eFh0PvxhHh9z8nCxwfQO4TNkQpDQqQH1ldGIYl8OQJSZBLZS8elnn4d8Ref56usXdG2zBy+SPGO+mFEWRcwI7OLvHpqP0CBBngeJVdv3tE0XzJ+EQEn54PceChUfZ+1CKDEy5tWlCdpqrPckynN+esif/dH3OT5chCIEGcxh0oTOOG7XO6rW4JBRjnPP7cQzts9jY//qwzuC63NE2R984sel14Nmczjvg8lQLAC9CwwADqSSoVGU4ZyoKN0KGYaG3a5mu9mRKsHJ0QFHRweUZUGSZeHcxFmnaldxc3NHXbccnz7i2aefobIQo5HI4JI4BNtvdxWr1ZLddoPHUhQFs8WCLM9JlER3LWmW7u/Vh6zGUACPx2PyNMV7h+77CLg1bLdbmrpBCMl4PKEoC7I8JYnF6j6WIrIoIUw6yDSt98ynY549O2c6KYNMdpD0mYBIm2g807UtdV2zW6/xtuf5J085Pj1hPJuRpCnWWpquZVtVtJ0O7pH4wMASiicdJbJNVdM0PSApJmOmk1E0A8oQKomN/f1zmWTwvW8/5/BwwY9+/oKXby+D3LZpyfIUNbgaxtld70Nu2ngyQSbq/raKTUpoPH4Hc4IeHIMyFz4GjhDRvyB0SWFfg7CWieEMcc8sR+ArAGQDC/kxCzOwQ8igfHKJ2Tu7Jz6wU0IIvHxIq/l9f2Ssx0TWDyE5PjnhT/70j9Fa85Of/IxdnNc2RpMpxXg6IlOKwcDDOkfbdtQR7EqylJPTE1Sa8uHymqubJV1v6HWI/2m7HmOCVF0lal+MCxEACmOHeUYXmRtBnqacn53w7W9+znQ6jgCkxdmQzbjeVrx6e8nl3QbtwozyUNwTm4hf7/HC3PpD580BkY6zuQzrXlj1ht5TfLTkxXMZFw/vgnpO+gCEpdKHP7FZHGbgtNZ7qbryMJlMOHt0xvzgIDSKIgAvVmuqbcXt7ZLlco1MMh49fkY5mcVM2chEW4PpW5pqx3azZrtZ0/caJSVlOSIbclqVYrfbYWPjHl5UdDWOLe90OmE2nQKB3NHG0DYtu92W3W5Htatp2w6lEk7Ozjg9O2c6nwGepu3o+x7nwihS2/bBtMeFbM/H5+cURY61Zi8RNnGO3Ma3XduFPPDNBt1rzs8fcXJywmw+JUnCWtdpQ99pBJDnGUqqoAQZ9pK+p6tr6t2Ort6FKLQ4D5tm4S1C7p17BQqVSKazgu//3ndxCH7y0y/RJpJJMtDC9+Mg93dAlqZMp1OyLI17Xlznh9f079MshgiJMNyvXBflpVusqcEZXNeC03uU1MUmRFWbgOLEgEliBy2FQsoCkSVhgFoEJzVnHSovcC7B98FRDmfR9RopKkgyZJbT6x7R90xmlunsCJvI4GRZihAj0FRkuqGUCV0HPoW77Q4n4fe++wWfP37C8uKGy+tbvBSB/r27ZDqeMB8nwVRmEWyBd5tdmHETjiJNGQnJi1++IpGCXV0F2ru3bLcVF5e3bLuWw+MD8umMJ/NDPrx5w3RxQLPeoK1lMptHKtqTpzkqTfn+73+XH3znWxwdHDLJCzbXdzCaMTtLOdOKX335jk3bxyyz4TER+1kfLyVKKhIp8Xis1SH8mvviLxRyA2M7IIn3i0+QUrjILIbFXAlPnmUYF9y7hLd41yGwTGZjjuZj2s02WCo7TZYm9J1nU3X0Chrd8enTTzg5PKJEQWvQdQveoLWh14rOpix3NYfPZiyms7CIWUtvLG3X0TcVTVVxc3dH37dcrNaUXxzwre9+k4NigWt6dNMiYpbn25s7OhFeu/U+ynQV2SgP6JSDrm5wbUO33rBtK5RSLHdb/ERw/r2njMcjDqZHTJIZ0oI2HX2nMTEyZH27Y9XU5NOCcpEymU05PT6mTFNSK6NUw9C1LW1b069rdrstzmlMIhmdl4zzhNPTY47LQ6TN2Nkd1nRo00IK4+mIVKUYbdjpFqE7bBPypIRwdLrj4HzKo7ni6GBGlo1JsUjbI12G6T1ae4wV5JkixZEJ+MY3n3D7J3/Ij3/0NwG8sQYvHVmpmJUJqrXseiCRTIsQdZPkE/ApwouYPxmMe1T69yGgv32HjTKbPTs4FDtReuPifMu9xDQWR97db4T7hnGw1R5kmjwwAeEetNlTZIFl3MdXuIHhHIqrQb4l9z2PlAE4klEhYH2YWUuznM8+/4zOaDbbDW/evAkOqV5Q5DnPnj5hOpmwWq3YrNdhpnhwTRvQ+ySh15a7VTAp6HqN97EZhFBIqlDEOO9D0LzzuL7fs68hly2lkJIvPn3Gf/zP/px/8g//lMV8gpLgnUDlGeV4RDkeY73EeIGUaWgWf623Ex//L/4awzm9bxz3DeQegH9YfYlY6A6Su3vpnfMS6YdLE+ZrEkEsnu5HqjxgtKGuG7TWHC0OeXx+xmQ8RqlQRVsXoh3q7S4Y0izXSJVwcnrKeDbbS+CMCw1W2zRs1ms228AkFkXOZDZjNAosmkoScIbKGKyx4dmNq/dgwOII0qVxWSJi5py1LX3XUu129FqTphmTSWATkywNs10+mhtESaa1Zu8OOBgwpIni7OSIx4+OUdJjbR8iO2yYmdcRza+qKkhbrWU0KjhcnLE4PKAoR8g0DT/LOto2ZNlZ60iTIIk0WuO8wVlNW9f0XQPeUpYhw3Q8GpMXKUkiAxAtwny694O8NBhwqETy6bMzxpMxs9mEt++vadqGqRlBmsQiWgy3MUVZkmXZnscaiuohssS5371m0fTNAwDs/hkYmOHwzMT3cx9twT7eINRzA4u4h9UePD8+Si/2rOWD+gXh8DKoHqQ0IdfZ++CRKB6Y3OyZ3vBdjdG0XXA518YgpeLps2f8ca9D3MFXL4J7qfBkScK4LJnPJgwmJNqGek1I0CYJOaSjMbfLFVVVs6sb2t5Q1S1NE55vKSV5XpDneXTWDWYwHvYZfMN5Uirh/OyEP/vjP+D3vvttDuYzsjTB+wRvgyFapw036y1N74Lv6NCsx+iNKOC4Zwzhft3z4e29eOIePRuWwuEL7smBAVkavueDWUjpkEgSOcwrehIJiRKo+It1XcduV9P3huko5/GTxxyfnpEVZTwHIT5jt9lwdXXN9dUtddNx9uSUw5MTVBLmXp0x6L5DtxVdvaPa7airXZCBj8dMplPKsgyGiyK4+be3S26Xq2Bg9KDpESI43s7n85BoYMLe2zUtq9WKdTTR8iJ8zuHxKYfHp4xGE4SApm2oq5q6rkmUDA2pCc7cWao4OpxzenKIkuBsmJ921tBrTd919F1L37a0TUOvDXmWcfbonPliTpHn8TkK59qYkCuLd2QDMKb7kGveNzSbJW21AacZlQXpLMQSFeMZaZZFtnwwJPNh7Ys5touDOX/4hz8gSVO++uoFgxdJWA/l/efGeyTNciaTKSpJwx4U13utdWTH/z1kqDk60MtmtUeMAhJucbYHIfAqBTzSGrwIuYoGYtFEcEm1FilTnHdIujgUHRg/AKRCJCmpKvDlGNd3+L4FZzGBK0ZqQeo9nd3Q9S11s2NUTsiKMWkK3jiQgnerDe8urzgoUk6Oj3j06XeoX0mm0xmLtOdPv/ctfvyzF2zrBm811+9e8M/+h3/KfDSiuhHoNqHvW7xpcU5iWk3iBdVqS9V0JFmCEqHYqVvNm3eXNH1HXuYkZcHTJ5/w4Re/YjQeY3RPUzeMJmP8RrNbtyRJwtHxgv/l/+Y/55/8k/+QIh1RJinCO8bzCewEujVUN2s+XKyxqFB0+oDuDwu88yEKIdyTIhSvljAsHlcKZ2xkEeOfaEc9rCpSJUSNGkJBkgYbeCklo3JC3/fgHGkiSYRAWMcoT0mFoNMg8ySwddqy3bbc1R1NoUimGZ9/83Nm6QxfN6HxubtF5Bm7Xc+vXr7htpHUQnA+ySmzlDLNMLpis17R1hWrmyuqpmbrNPnxlO/84HssplMOxwekLqNlh7c92+sV7798S911mLhZSQGpCtfp8PiA733xGcIYarPD7Cp2t7e8v7sgnY2Znh9w8uiU08Up0ngEKaYzCGexfR/lUD11vaExFdNPphzbKU3qmB7POT86QVmJt56+1SQpQXfe9/RNw83qlj7rmZzM+fT5J2QmyHv6zpDLILvp6x69a0kTx3SUMiqzYOvXG9quR3ct22pHmnmKkeGTgzGjsqScHOBFQd97bFXjfJBvaWOxEBYtY+hMj1KW3//zb6G94Wpzh+40TjkmkwlJr2l0j8sEZVlQjkpGkwneFVivsNFuvOs6EhUisH7XDt22D5oH9oWOHyqgYVYvyqLuDWsiUgvwQGoV/xU/Ho0fvMMLi7DE4gyGuUfiz/Ixx2uPxHsCuOM8Pr3P/0OqYVsgSAeHX9OTZjmfPv+Ud2/fcXl5SbWrSYWiLEecnZ2GxkYKvLMx2N3dS6mcQxvHZlehtabtAlgloww2NKlhIwrxHD46FNv7xst6tLYkSvH8+TP+F/+z/wn/wZ/+gCKTAYn3AinDzFKaBVORza4ORjoi3dvPI4KTaOjxPi6eHkzrxPMX/idiYXWfqRe/UtyzUPv6aQ8KxPcRDHEEoIQjkQmpEmFeUdyXwcZYdN9RZAnPP3nCyckRKgnmNFoHBmG33XF7c8vN9S1N2zFZHFCORgghsDZKf3TPbrdlu15T1zsSpTg4WDCeTsmLgjSaaAghMH0wLFqtN7RtH4r2+LKHQjxJEoqyCMZiXUfXtXRNQ9f3FMWI2WJOWYxI0zS4/4ow54g1+5mzIZpiMEfK8oTFfMzzTx4zn00C82ddNI+waB1YUa17QuRGwagsmc3nTMbj8LOSIDUcWOnNtmK9qVAyIUvS4OZteoQ1WN0Hd8hEMSoykiyLWYmK4eIIhrf3DbxHgEyQyiO95Oz0EItAO09dNcEsyWf7+8F7h1SKoiii5bwPCTXx3hiMUP4+adZv49FXm/3aNoA7DI3EgGZ5/5Fz+nA8XBuHRlGKEOckooTVx/oIIYLUzbn9z9k7cjrwBGZuAKmG3E9iyDjRTMwJhxfh/m/b0LwOcQhJmvD46WMeP3nMr75+ibXh95JS8uj8lIP5jPV6RdO0JEKRZgmpzlCJJ00ztruKTczUMw7qpmW93gQTN+/J85zJNCMv8jgXyf7+GeYwpQzzctNRyZ/+8e/zD//BH/Ho5DAU/6mK67rCOUvddtyutvQ2Gm0NewTD2hRbwAfA3P78B9SRvXwsrnf3a8ADdjgujYE08Pf/7b95+L5yaBAH59PofiojmxYiGzqscywWc5598ozJdBLWZqPRbcNmtebm+pbrqxu2uwYvFfODA0ajklCHGvq2ptqu2a2XdE2NwFPkOaPpnNF0Rp4HGby1Lrqt9lxc3XB7t9o3++H1yj0DPR6PAI+Js6B3t3fc3tygdc9sNmexOGS2OGQ8mwcnWh9iiNqmZrdZUdV1aO7iOS3yhDRTPD4/ZTodRQA3GDlZE2StXVPT1DV924IQTKdTDo6OmC0OUEohfFgznBkYy5amrQGPkmBtT9/1ONPSV2u63QaFZTotGI9HFHmOSlKEyiJbFzLFnQn1OzE31kci6ODggB/84Pt473nz5i1Ga4gMptyvmwFYKeO8oogOqtbZOA4Qm0Xz78EsLj98hUwKnO8D6t3bIE2IWUREi3DvQuOIKkAVYcbGtLiuQYm4WZsOoVuc03ii7EpEjS2AlZBmqLxE5WM07GUNMs6UGGeQKPCG3hgmZY4Wjma7g75HpJJcnXJydoLvNV+9fMPp4YLPn38PgaVur5iWExbjEFWQ5QX/+X/xP+V/8A//CFf1XF1O+eVXr3j7doPrDa3pSIXCW8du17LrO1KfUBYZqYzW8m2HSATFqODx42csX77h+uqK6fkjUhyTxYxJXnK72dIbQ903jA9KPn9yxHEhGOU511dLujSh2bUcnZ1Q3665ubjhqqoD/TxsjkIhkwSkiCYuYaUY6GMZzSO8HWYZiTMXD4wexPC/yFZIRZ7nIAeDitDcN01FIiJzYA25dCgpUMbibIcTmkRm9DYYyrR9T51IkumIL/7oOxwXI+y2Bt3jqp56s6NtGl5c3AWH3U6TTKcs5hNc23Fzu0Elnnqzpqpqrust6jjj2aMzHp2cczRaoMjwOjiXSpkinEQ3mi9//iV3fY2N5ZMiWDRrZ3n15ddsViusLHFInPLYiWQyP+Lp80+YZSNGxZhMFFjXI5QMw9PG0Nctzaai6iuM1BRnJd95dkS96rlq6mBBLFJ0b/DG03ctzbbFtoab21taUXP4rSMODqbkacF8eozogjGJaTXOgXQK08LV1YZVtcEnIHyB0Y6+7thtd8gMVCkY5T3nJ1NGxQiMIPMS4yRCazq7RVKgG8OubujzjMR7EmeYzxb4tkamgj/8D/+Uv/yXf8XN+gZdeBLn2W6XHJ+ecPuqou0bDqZzlAvsRJJmgML6wJa4BLC/2TXrt/Hom7CgP0TH99qe4T0P0N6PRJIiqiSGf8aPhf7EPZCj+uD0KE2UnUapuHMPZoeIDZfBCYEdAGUc0ts942ZEup+T2cuSIGbUSWazCd/4xhe8evmSly9fkqYJj85OOT87D0PueUme5dzd3bHZ7qjqml4b3HBtraPrY7Pow6uVUpJIhUoUiQ/No40IpUokRVHgpaSqWhCePEv45OkT/vAH3+XocMFus8QYEzJzVRqD1wWXNysub1ZYf99oR0HVngl8eNyXT+HaDGtaYGPFcEY++j8PvmJ/BWOj+LDphzCxGKRZglQFGepwX1jrgsIFODs55NPnT8myZG8A0XVdiLi4W3F3u2S3rXBAYSxDE6v7nq5rouvfDucs0+mU+WxGOR4Hl1SVBOmrlHHGx7DZ7Li4uKLrdCS0H1j6E3If0yzFWE3fG/poFFEWJbPFgvF4HCI9pAwOFvHrcHIvPzU6MIsBaXdMRznTyYhnT04psiQwSpEFt8YERt4HJcp0MqYockajkiyLTAzDre/wNpyf9WqF6TV5loVYJN2B78EF1+0sS8mylDRVIctuf9XifKRwSGEherIOLGt4FAOIooTgYD7l0ckRb/oPdF1LGRvwwRE4STOyfEDvfVQIuD17Zo1G/z2mD7+NR1/vgMgewkfSx/se5cFaF0GXcN7CJyopgmmhiwGNfjC8GeT3/t74xt9LvvdRJBGoEUIGGdzQNwU4bp/5LGOTIxAYG+SC3toQ2aICM1cWBScnR2RpRlVV5HnC+dkpf/gHv890MuL1mze8f/c+yEqtxVhL24Vw9qbro1IixSOo64aqrjHGhPlDNQrrmhdoHaLCkiQlTYN8u+/6yDDCYj7l+9/+Jo/PjslThVRiz4IjQhPx4eqWu/WOWJbtG7mPzv5+DxJ7UjGWgPHD4R2DL/P+EPfw2f7tg6UtyOxdkGP7YLKmhCKVhPlsfATqwpNlraOuW9peU2QZzz55wvHRAVISYi6qis1yyc3NktVmS9N2dH1PWo6ZTCYoJbG6Q/cd2/UdN5fB1TnPcw4OD5kfHFKMpyRpcDUOTrEG5z1N2/LixSu2uyYm+YYXM9yXUggSpQKgWXdst1tWyyUAp2dnPHr0mNFkTpoXCBkiYIwOCogQzbGjaZvQX6hgqDgalSRpGsA/JSOD7vfgntVhBt1aS5rnTGczjo5PGI0nKKXCXmjB+6D+6Pqepqnpex1en7PovsV1PabZYLuaVDjm06CCyMocqYIrtnVgvcb1FqOj/FrliMQDMUeUYI53eHTMt771LdqmDmurtSRZSpZlAdT1PsQLpTlZlu6fPWcsZmAVtf57Y4J+c3TGboXHo9IUmU8Q5QiPwKUZwgt8r7GmQyqJTHJG4zlZVtB3LUZ5yBV909DpJmj/E8AlYXA6DZKq4OzWk/ggUVG6IU7Q461HofZIiEfilIIkR9uEu9sdJ0dTzh+dUTeWtms5PDlhfbfieDziez/4AV+/eknz9h2HkwkqnSEWj0gmU8bWMpmN+M6n53QfPmCURJSeJz94jj+ekr39QHN1y7baUdUtnTOMJiV5nlKmOTcXt1xe3aCNIUtzZocnWOO5uF0iThZkeUoxmfLpZ5/i25bbi0vavsNay/X1kp//4ld8+vgRd80dk5MzsjLn7MmC3dtrll+/5PWr97RduMmklMisDNbM1u3nKKzVcY3wEUEIS2t0vkeiQoh7dEEY3Ak9PgReO41KJc44VJYExsCBwUDfYkSCEJI0gVGRo9uaru3ZYMjzDCehFx7lPFXfI5KUx0/P+NNnnzKuWvS2pqka6s2Gy4sPXF8seW87rMpxzJDaYEzYmL3TNJ1mU++40ztmn57y+PwxB2XJNJvgKo32LUI6nPH024bl60suXl/y5uoCLz2FkNHi2mHwOOFRacaqrVnVO0zVkijF+HjGo9M5h9NjhPYoocCExUrYHmeg2VU0m4oPby/RE8dokTFKxxSmZOHH3ErH2ekxifD0bU+vDTJVrK+XfP3qNYvPDjg5O2Y2GrOYHpGKhFSkGCzeS5xVdFVLvalYbdbc7DbUWiPTFK97mq4iw9C0NWqS8fnhggkdk/GILJuhdx1+1yBTi9DBNVBjaXpBn3pOnj9GdB7pBeuLO3S9Qi3mLM4f8+TJE37x86/px5a3N+/58+9/C/euDk6wo5xRooIsrAgGSdZqvAfTWXRvudcj/u4cpmvDX34dRv87TAL2G7gYZFNy/3bIgZJ7RDgyi/5BY+h0YBCHOYFhxse6mHc0iAOG+UeB6T3CGhCgpMLIIAHaI8pCoJKEjCArFFLy7e98B2MMJz8+Ik0S/sE/+FO++OIbSCHozs44P3/E1dUVL1++4t2HC7R1sXBSKClxQNtrnA7NrRUOJy0JwepdyuCUVyQJ3/n2N/kHf/5n7Nqe/+c//3/zy6/f0LYtF5eXvHt/QZkntHWFtYayyEI2ofestjt+/tUr7jZVkGVF+XwA2QdmY6iUPiqhHlwIwtcJcT+PLeKM4YNPvS/JHkhQnccLh5ciWsYLEulJJeRxm1IiyHyDHMnjjKPIU87Pz1gsZvvGSXctq9Wau7sVu11N07R0vcE4R7JrqJueadfTW0u129E0NUop5pGFK8pQ2KhE7d1UvQtFZtf1XF5dc3F5Q6+DZHRvxhSBiDQJRU/fdQFs8J7ReMJsvqAoRiQxF3IYanIDSOEszgyzK/ZB7pdgMiqZTMYczCYoKbAmNAXDmRRSUOY5WZZRlqMwl6PCTNoAgFhiYWIM69WK25vbMBtUZKQq5LYpYUmlIMlChliaqD3wAbExjoWYd4M9vMMTX4+MbrXDU+c9aSI5PJhxd7eiqhuariXN0zBaIUNWnkqS/ecPTbBzJjTcv6PNotFdeE4erG0P2XcEe6O2PYVLaA5FBI3C6NHwGeGZc1GCP8xw4y1qADSirFfGe4tfaxydtXihcYQIM0SYv0qEgOgB43xwNnV9F7IOycK9kqc8/+QpX3z+Cb/8xQvKIuMbX3zK80+eMZ6MOTg84vz8MVfXN1xeXnJ5dYtZrtGmC01V/FnWetquo23bcP+LjLwoyIuCtmtxzpFlGU+fPuUb3/gc5xx/9Vf/ltvbuzjG4DE2uHumKsHvnVPDWVquK169uaBq+tCo/dp1eZiBO1yOQR3Bg+Z9gMCGEPeH11BEhcQDHX6MownmNIOiWERALJOONMYCiXgt9y6okRmzxrA4WvD08SmJdOi2oa0qVssly7slVd0yON22nUYVkBcFwoPpe6rthtubG6pdxagccXx2yuLwmKwo9jLJ+9si1IPX17e8fvsObSzRWiy8lui67J2j7zs26zXG9PRtS1mWHB4dsVgsgktrNHJx1ka5ZU/XNuy2mzAPaU1o+uNYTpYmzOYT5rNxmM/H738fZy3Oh1D76WzKdLZgNl9QlmUkbIKixtl7w5i2baiqKhhxekvXSHrlSEXI4y1HBdNRwWRSkGbBtBMZVGrOGqwOzKYxAusVUuYIEZzTpUxAqGBulyQ8fnxOXW35+U9/CkKEtU3JWFtY0ixjOp2Spil7B+PhzzCz+O/TLIpigVAhLQeVo1SK8BaMIUlSxHgenKb6HeyWNJsrGqfxWITKQyZZUlDMT1FFSZIkWC+wJkgXjW5w/Q5v24CRWI1SMjQwKsW0HU5rvA9WsR5wxqO8wfsWrRtumxVVkZOVE5I05fbyFjt5wuXqjtVuw/njxwih2KzW0Pd8//vf4//wzW/wl3/9V7x5/4IizegTweOnTyikDIjKc8Orn7/m//7f/Ldstafpe/JpwagYIYxjdb3l5y/egwhIZD4asTg6YrPcMDk5wfcNfd3wX/zv/rf803/4j/nhv/kL3vzk5+iuxuCRjeDLn7zg85NHfPtbz5mXnjzzsF2S9hW7u2teXVzSJ4I0CVSyjIYFWIMUgYrG+lCcqrihmj5kwiAQXiB8gtxnw3CvVRiQJgFW91jtcFpBWSAySYJEaId1PRbPdCzxGlRkN0CQlxm2D4ZFumtouoY0UaRlzm5bk24abL1mt9uyvF1zudywPUr4j/7sj3nxF6/58nWFKBRtY2g6jW9qltsVFDlPPv+C48WCcToi8xLbGvpW40VAFL22tG3Num345cvXvO8qiEiYA5BExzY4PjkgLwsmszEbp8kOJ8EVa3LAOBmBlHRNFXOIPFVdofvAZuvWsN1VJMcjDs4OSdbwN3/5C97t1qijlJPFHGmCFXe12tI0HRbL8z94zvPnT0msQiAp0zGi93iCAU84bxaPpat2bFdrdtsGrQyZTPHOUDc1FIrjT6ecLMZMbZihyl2KaC0Ihcdge42pLRqLVh09kunxEaO0ZDxZ8OGXLxAjQTpb4KRAKc83vvcFP/rxL1hmO775zS/o3my5W1boDKbjMVYq8vkMITP61uO0RUlIE0nVNjj3u5ezONwvQt7jt+F4SMmzb2Tuu0WCFCnawQuVIAeXywjtCoZmMchX8RlYizdhRmtYtL004f3e7hvNwKTEf/vYNAmHEQLd671boxAiSE/SUEpIJSmLgj/6wz/gyeMzUqV4dH4e829BqSQ0Dkg2my03d3dUTYPznkQlJImibQO4Zex94LD3EhkDr4eXWI4KvvO97/KP/uk/5adf/pK6aaibCingxYtX/Hf/n3+NsZYyi8oFRiRK0BvNVy/e89WrC7SX8fcJjcC9jPSeORsOj7+XrD3A1oe6bP+ZYiie7r9yfw3j+RziAIIUNbAnCZAqT6oEqZKoOL9l3L1xWJZlLObTYD6le0wfzA6Wyw1dp8mykGOlraetGqq6oW4a+l5joxHWZDJhPJ1QFAWJCgYae4fUCOoNWY3r9Zo3r9+yWm8wbmCTxX5WyTMYgQTjjUQqytGE2WxGORoH2a+SYf3kfgbXPECXTcydtSa4QHZdkLsOcjrnzF5+JwGZZRRSkuUhviVLY+zLg2szhGNbY1lvtrx6/Za75YpESoo8I03CjFKSJORZyCpO0hgdEzP5RCwijbfBTMdopAjKpNDhD2YOMacsFtkqSZjPJhwfzen6YKzW9aGZ9Z5gT6/Cz/fOgZBxFvP+vGj9u9cs7pv9/YPz8RoHYR30Dz5n77EpxD4fNjg0D02JiOYpliG/UPiBcRxYxWCa5FwwJxQPmMiQARiaRoTBGr2fXXRCMayFYGM0D0HhkCiUkHzrG58z+Z//Z7z8+hVNU/PZ808oxiV5OSIrR4ynMybzBV1vuL5dxSYxvC4pAlPTdzV9F1QDjuCQHWbiwlyuMZqyKHj29Al/9Id/QNO2/PznP6drO7TWvP9wyb/5i39LKjxPz485OlogRYilML3hzftL3ny4RruBAb9fnO4bPPbnmQfnfH9dHlCGH+te2K8D4fP8vhH2Drz0exVFACRlfHTEnkkcmsVhiwtrQk8qBSeHM8Z5RldXdG3Ldrtls9nSak1WFJRJRtUGJUqmwzoRZMPBXAvvOT074+DoiPF0Fhg/ISI4Ncw/a3Sv2e0qvvrqBdc3dxjr903Mw3zf4DZt6LoWKWA0HjObzVgsDkjzApUEdYbzbj9DXlU71us1m80mGPYoGWfANW0biITJeBzcVRmAuGBy5Z0jUSmjxYjJdMpoPCHLS6QM+7CLzLo1Gq076mrH8u6W1d0tTb1DSZClIlUZkyKjSHLKTFFkCWkacke9lDGiyuCtjmudxxgBqkDJwGrfy/JDc4mQpFnOs2efoNuWzWZDng6S2AA2JkpRlEFyH5rZHq1DMoUxGufsPmrr33X8PdNHEmkJv7zu8Th8nC/UzRZBoH2dM+BNkJMq8CIN84siR6oSqXIgBydJkiI4LWVg3RRjZnhMtOs1ZIknz0P8xna9od0soW/jQxPkSyEPqUd4TWMsTbcmq9YU4wmVPqRxjtzDeDbn5es3HIzGzBczUAnrzY5Uwn/8j/8RVfNHpEnH4aQksw7bd/hWU90s2bx+w+5mxaptyMowYO8M3K0q7jZbwvolUFnK8ekp3WrDdrdjJAzVas34cMG7r17yq9GC9nZFV9fh5rSOrtP86JfvKfO/Znn5ks8/ecqnn3/BweyA1z/9FT/9+QvueoPIkjAr4wOOigTnYjEx5EXhkYTBWed9cAMd5CViWBFFuDAioH37AmOQ38iwEPu+BzwGj7CEXCsFcpwjUVhrUbanyAu07pGJJHPQdhpDQjZJeHp+gGprmnpLs1mx2+1YuwZ5NuYf/tl3OG5Svtp5Gu2RdZhftcbhlUTMxjx+9oTDyZRcpoFV1pZWt3ivQ2ZSG2IourYLUpT4xwMushXOBst06zwnQiB7j8gzPv3G58E0wickTuJNCE3XfQceTKdx1tO1PbY1fPU3L3m/veOz703JOslXP3zDy+srupHn6fkpOBFmG7Sj6Rps6Tl7/IgiSSnFJEZsA31At6QUWG3QNsw8GWfwEqpty7ptURNJnik0gmQ24vTRAVOrmXhH7jt8b3F9i1N9mPe1YEmRCWRZgSejLHKKpMR3jt53LM6OqOs1eTGl1W2Q7YxS/rP/1X/Kz3/+Y8RVw/VqSXE0YbJWdGnCeDQmdRInPW0TZCRp6kkySdILnBT8rh0+LpRDPwb3aLv46O2QURrfJxNkolBJGhC/JIk5bsM38cB94SQGllFZSGKTaEIIu7MaZzTe2X1I/BCVE9geG4sKiZESbUyQvniirXhYI9kj0p6iLDk9PY2Ip2PT7kJzoDW671iv1my3uxCA3AezGxBoY+P7DMaGKAUhJMpHdFcMc4chKuHi+oaf/OwX/PDHP+P2bo0gxHRUdctf/NWPQSQ8e3LK2fGCUZmSZynLuzU/+tnX3KxqnMhiWLoIqpIok3qItD+4KvtDCBEawn0Pv++e9m+GrxoAsz3rGFUI1g6SfoEkFHepkPs5nj3m7gL7OxghZInCx+alqio2mx0ewWwxpygK+t7guGZXtcGCP4YsZ1lKVgQ2LsvzIFVjACKGLE8bi9SO7WbF+3fvuby8otc2zqeK+6Y3/k2pwEYqmTCajJlOZ4xGIcpjYLvhHlUOGYZtMNnp2sCEti297mnbntV6Q7WrsMeHe8MXgCRNAqCQJvuCPYls9P6ej4CkiyY4Vd3w5s17Xr5+y7ZqmIxH5GlgQhOlggN3Ivasn4zxCcT7OVy8YU7ShWuVpCG+WaiwH4uhgQ7PjJRQlgVnZyf02rLeVRhj6bVBKbV3uBwaWilDIzUwA8bo4AT8u3YMBicPUJY9MOOHBmNYCGV8rvw92CyI1yWGVQ3K8YhADz4J8sFD6H1wgAz3UTBU8nHNw9kQBTaY60QZvsXjhYyS+yFCRyJlGuN4EhKZhAzSouD73/8+v/+DH6B1T103e+Z4cC+t64arm2uWqzVN2wbWSgiSVGL7nl2c0yY+KzLGB+12u5AJ6By91lR1zXa74/Lyghdfv6Cqa4SULDc7/upvfgbe8Qff/Qbf/fZnpFJglWC5qvjFV6+52zZBvjvY2H8ESop9owYMAoD9/T+UcwMBGQLu+bXvEy8FYVXYg27xGjgPMqBxSBFnFeMllA8/jxD9450lzxSzSYnpW1bthqZuaNsOIROOTk4pJxOc9dystvRG0/WBne26Bq17sixnPpsznc3Iy3I/ajCApDbOzfVRtnlzc8379+/DPH10lXZ+cGweWnnBaDRiNBpT5Bnj8ZjxZLqfxxZSBTBMa/q2pap2rJYrlnd3bDYbIMysegRN01DXDdbY6Dou4j4RVRsI0iwnz/Pw88oyupSKezdoo7FGY3SYa1wv71je3VJttxjTk48yJmXGfFwwHaVkiSBVPprURUM2BnDF4Wzwi9HGY5wiUDjcg4oyCX2QUPvzOZ5MeP78E26ur9Axs9FG08UsTaKRV4g8sn2P6XuM7mPWYmjaf9PxG5tFmeaACZl3fXBXUxAGLK2JLy6uykJAOkLlY4RKEdkMNVqQFVOkCBbhgaNUGNMjMQhvEWi0bnGmx/gWmaeUcsooVeRHB1SjnHq1pq8rvAmSBrxGmgbvNEIKVJojk5DB6I3haDEjV6Hjf/r0MTe3t9SXlxzMD5iOyiDxkZJpIUhFjugNm21F31b0qy2vX77mJ794wVdX15gsZZKkOFJ2Tc3s8JCr29v4EAomsxl5knHz4YJ8Msb5hHR+jHCGH/3Nj7h7855queTN5QVtZ/FSkGQpojjgxaUm4460LCmOj3A247/8r/4Nf3VxixsVYQ12DuHCXEiSJKCCFEoqGZha50K4rXcgk6D5jgWfJPgxCsALGxegqHPfN5JBUoIP7EqruyiHgzzLSbOQC2NNYBFlRNsRINIxGZZNe0One+Q4I5UKXbe4uqatG9pEMjo954vHJzydzGm2LeudBgG97WlMR4dhdnTA06NDyrQgdRrhBE734aY2PQDWBFetel1xc7nk3esrXr75EIpYGdBH4x29NmH+SgqScYF2PfPFgpHMyb1COhdYPa33RhoDItQ3LU5bVjcVr++W+EeKxahk937Dh9tbGt8hncS2LTho2pZmt2V6Oubk7JBc5FjtSVWKMwYhHNZ04Rq4YBRj+i44/vWG9e2Wm7stnenJRUE5yjg4HvH40TGPyhGq2pGYCtlqnOlwWRLcInV0pnOS3gg6KRAiY33dsNkYTk4deuQ5mB3QNzVeQp6X0AvqbUWxmPL85CnLm6+Zn04RNeycpywTlDZ0ukdEK/u2azEenPaY3mDk7yDa7u9RtYGrCgCuv28UgTDnE21lormBGIbJhz/DLj9IHYPjw/AN2FdnMomxNQ45SE5Nj7ca7BCC7PY12j4mAY+NuWgiFg37APbY7YYiIkq9RNg4+66n74Ojm44b82q1oqoquj6g4y4WGMZY6rYNsq8oJRN7+/YUIcP645yj6Xq+/PIrqs7y9v0Fba8jqxYK+eWm5ie/fMVqV6HNMxbzkK331av3/PLVBzob5ngZfBtwwS4+nq6PzG0eXJv9W3HPID64cn/HVw11VWCRwvXhQSHskELtozKGuBJikWWcww5Ns1JIITBaUzc12+0WYwyT2YzpdEKapDHseR1c7DyhwM2LvRQyiYXs/S/Gnu00ztA2Ddv1iuXdLTeXV1S7OiLF7iNUQwqJUoIiL8iynPE4MIqj8YR0yE8M0ol9rpjWmqauqZsG3Xf0XYgK6NqWruvZVQ3L5XpvPx9yFAOjlOdFzP9K9ixPaHLDtRpmb4NZRUD1V8s1b96+4+Z2iUehZgllkZOlQ9MZTNZ8NGELbK8Lz5tnn7trjaGtu9jwpWTFiFJIVJLH5lLdnxcgSSTT6YTjk0Mc0HXBgMjjyZMCqQKkF7LUfDT6sfs5Ufs7KLnfH/6jyev7B8g/eJiE21sBD66owrOPYBjWRv8AuoC4JsFeFk78HOnDOjbMODoT1jpngsLC+1CxDCyHx6JFYByVUkF2KgNQFdZbGY3+wjNaZFE6mpdh9taGqJvb62t+9rOf8urFK1brLdoEFVKiVMiT7TRN24Y2RIZ1XalkL8se9oG+77m4vORXX33Fi6+/5uLigiGvcojGePvhhlGZU5Y5SoXv9cuX7/n5i3d02iNkgvLxXvtolbpn9e7/fz+3uAeUgEF5cH/h4rP38QXev3c/n+0iBOmj+6kIZl4yqgVEdN7U3tP3GoEnTxMkgu12i+4a+r4nzQsWB0fMjw7JspyqaaLk837u2fsQQ5HMU0ZlGSJvItDsonu4s6FR7JqGpqnZrNdcXlyyWm0wxqGdx0QzIOeHUaoQeXN0fMx0OqUocoqiCM1QNH+xNigk2ig7Xd4tWS1XbDYbnHOUo3EE9Hp2VU1d1Tjn6fs+xKu5GEUhJHmexZ8RnJOVUmEfjioMG5syo3varmGzWbFaLql3O6zpSZVgPhlxsJgwGZdkqSCRkdSRHifEPSkUELbQ0BkNTiKQWK0xfYfwoaGVUYVCJHyECPOxo/GIaTtht1mH2Xarkd7tgTlvLU7oAE672CTaOGby9yx1v5lZtD1COCQOkgTvs2BQY3QARqIrk/ehCbTW4NsGlRiEKKCt6fsWJSSKoHXP0wyLw9gmngwNpgvdrRQIa9k1NZnLyJKMcVZiC4cxEiN6wgRpKEaECg2isB7b7MBZ1ruGpu2YLWaMypJqt+Xs9JSmbVivtyR1xWw6YTyZYGTCdlfR7zbotkbrhq+/fMGPf/YLfnV5g5lMwk2hUqwXVHXDbldRVSEYWSrJeDql2mypjSbPRvh0SuI9sl9ysJghsoQX79+ya0IGUJhrklivuGsEf/O6xSV3nJ01vPvhj/nLtzds8iDvkCYaWMSCUZiwKIWsn9AY48FhEc6HG9cF11SZxHBOH+c6CPKQwQAguDpGR6+4EDpjaJrt/kGR0lL4MszXWUOWBPRY9xqVJoyExtU1XW8xFjIryNIc2pb1ekWPJj864Pz5U47yKVjPZtWw2nVBnuEDWzo/nHE8nTOSOaLTSOkRMS+pN10oknsdhsmdYb2peHt1zYe7Wy7XKzprUHmK6frAFDiPxaPyhPNPH/PpJ8+RxiMzj4o1lrEa70RwzOu6EHSuPdvbmqurFdem4dGfPCUpHQfpmNcXb1ntdmjRQyu5eHvJ5fMbHp+ccfD4lCxNKJMyGH8kFrQmFL2xyPceqy2dDUPSXdOxW9f88ldvueo2FBNJosApycHRIYd5SdZrsJYkCSYAXgQG1jpwxmEkdL1lvbOYeYKoNe/fruFQIkcJUyR5mtC1PVmWMB5Ncb2h0S1ldkCWKObTMfXlHRebCjsZkUmLLBXGpZgmRED0vUE7hzeGtq/wSf+bV5XfyuMBpPt3HrGw8vczEyBwwsa3JmzkLoJn8Zv5OJ/zcP4u+tBFdk4ik8iIEOfBTI83PTY2jj5mTYWRx8CMhWIm/pFD88p9s0jIZQ3/DCoE4T2JUvg0RRA27NFoxHgSpJB11wd5mJAh7mUwMHlQvkgZHJPzLCPLssBuasvt3RLtg9Ol8yCkCoW29VgLm22NlHfkacqoLBiXKT/86QuuljVOpEgl9lIewb0ENfzcj2cP76MPfh2df3A1Rcx28x9/dADqH3CNDM2C8MFpVj74WfurHxtoY8JcqTHBKbCqG5q6xlhLMRoxm83IoyOpR9AbgzaG2XTO/PCA8WSCSML6raTcswTERivMyDjatuXu9oa7m2t2myj56nRwOnYBKBjYIYEgTRQnJ8fMZnOm0xnj0SSE18fxDc89q9N1wRBit9vRd92+IHbxrdaGqgoB4m3b0XcBHFKJIstysjyP6HaIWdqDH34wTAmAprGWvuto6prbuztubpf02jCeFMynIxbzCeNRTpom0eY9XJEQFWXvm/k406Z7TdsE06+6bvFIsrxmdmBZqIw8zQeM5p6vEZAkirLIKYs8MuUmysZDIQ9E180wxzlIt+wDAOl363hAV30Muzy454cOLyJPzuNl6B2DEmmYJY6e9g+fxQezT6G0kHuVwEMrf7zHKxMYRtUHNtEOEUZhjg0C6CCEIMsyilyR7k1j5H6dMNbiuw5BiLDAe6wxga1qW25urrm7uaXruvDsxSZTymAK2LZdjGAIhXeSpHEEaJhHDyu381DtKt6//8C7d+/pux5vDWF+TOI87Jqel+9v6LTjzeUdHsHXby55e7XGiTCL+zGLc9+c70GyeErv16uP4K64xg//FNzn0v4dFf9ebi8/AlKUCMY2Mv4sItBj43MbmD0HaTCS6bseow1KJcwWCxZHh4wm06DmqgeJfYhvGk0mjEZjsqIM8W6JQgyNvbN7ybE1wXRms12z22zYbXcsb+/Y7Wq0DQCOjfeTdXEMyRoenZ3y5PE5ZVmSxVxCEa+Vd+HaD4Yvq+Ud6/WGvu8py4KiLCnLEd5D27bBqLJuEAKauqFrO6yxJHlGkoVGNM+zvTmYx+/NvQanVGN6+r6l3m1Zr5bstmv6vkNJmM0mPDo9ZjGbkqUycmvDs+P3oHKQihls32F1SCKQMgmEQNfRm1tkWjJL8nCP72v3AN4IH2r6EPXkkVHFpKQIpnLAMPMd1ld3Pybg3N8LjP3GZtHbYCcvpEQmKSRpTM+wKBVveDeUUQ7vFF6m+KTA+wRT12AbVHTkkUCbyKC7TdOY0xO+v/cCmagQyOolghTnUxCKYlyQFAfU9Za+2QI9VkWjFpViXdTJywyRFvgkp+stk0RydnYWGR3DyckxurdcXF2T395xeLhgUua0akpbFpi2Yfq55dunx3xXSarNjruLJa/fXKCjpnq5XGKsC+HVZUFRjrj58IFyvuD0s28iTEq1vqXaaV6+eMm0HLNcr3FAmqUM0g3rLM70aAH/9qsVuv0RZlvRjjMijB11/uCsgKgz9jIhjwiH0dEowxuM9dG1MPwIFzfvgGp7BBIho9TjQV0sfBjOHRb4vJwgEhGXEwkiQcbmMUuCDM1oh3WGMmvRveZ2s6EVilQoNjcbbguHE4bkaMH87IiDrCDRYdZyebljZy2MUg7O5jx6ckJZFORZju8dbb0lL1KEDUWTM+Fe2+0aql0VwlMJUtnVak3Tt1jvsXEWyLiglXcuRIF89/vf4MnRKRlpUOEKgYiIlhRhuFl4T79tuXl/x0o36EPBwXjGJ+ePsVWHr3t2bU9HYHhNrymyCdOjEbN5QSkCqq28DOfK9gHVDIhCYAJsaEqt0/R1T7fTrG+2NEIjM8vJYorPUp4+P+F4MiWzFtts8bYOgdIybNjGORApTkBrPa2Fygh27yu86CkfF9xd3nLxypA8V9SJQuv/H3d/9iRblp13Yr89nNHnmO6YN/Nm1ogCqkCCBAiSRnUbyW4zmbXJTPr/9CjTu/TQ6pbRTJRaZLMJEgRQQKEKldMdY/TZz7QHPex9jvvNAhIy41PlsYyMGx4e7n6mtdf61re+r4JOIXeC3XKHmKRhZLxu2F9v2LgDtWlZrwz51SWJTnG1iv57nqZqsbJBa4dMLf7vg6B+CzchetrbKTp7grv7k2/eh+fF5FtKG69TMyB+H8yZ0HfAevGb3jRXhhlHFRY6GWfQhDN402C7GtuFuW1hTVChdUEFMklSyjxHy1MV1khnEX2SFik1/XdC4ixESBSECMXnoq65X60x3g+Jmd/4SN/qPa6CeI9WijzLKIocpRRtl2BdiOGBrhqOJbFD6ePckZCKujV8/e6WfRXGCl6/veHQOjx6yJf6c0HsoR67F3021T+HIx3Lh30+0YAYivMhbxUfnlURn9MXI0e6sBzOV/+rHtU21tJ1FhPVD1ebPUWe4jyMylG0vMgQQmC9o25aDlWNkIqLq0vOLy5I0iR0L2ImOHRNY3fTGENV7bi9vuH+7pa2qcNa4f3QVXTe9y5WMTe3JEnKi+fPmc9mEcWPa03fQY22FPvdluXDA4f9HucCDS/RQXFUilC8BmPyjkNV00aLK6k1SgcrC6F0XMZOqmrfz8WHYs9ZR3UInYLd7sBqvaEzhiLPuLw44/GjM87mI8oiJHoyDE7RW9MEURQ7nB/TGaq6oa5b+hmdtve7tB4vFAup0VkewA4I6o8RRCUmTT0lbwBq4iiHxx9n63qqJNAL7HynNqH+rrLipHw8udH48Ms5TsZj+nql73sdoaUjNRx69XWkQggVCyEBOlpr2A7Xr5vWDLRTojBLlmZkSUaSSBIl4nkL3XLnPA6BdYbtdte/e+wQu7Be5xmffPyCsihYrrest7twPTXhOm+i+CDeo7Qm0XqgKWutw6xXZFgYG+Zvd/vDAI5AsBCxHrZVTdV2vLtdkfzqNQhB1VmqzgU7EN9T4H/zDPghOh3Px3Da/tZzyRGkOT4w/HKAw3z/5aPzRv8XfihY+i8bRxAOh9BFNImk7YLIXZYHi4ezszPK0QilNbZtaZqWfVUhdcLTZ8+4evSYcjwJ83VCDDOw/cxhiKUdTdOw323ZrNccdjvqqqZq6gBUDv7i/RoWCrUsTfnp7/0ujx89Is/TSCkPpUzvmbjfbgcrjaapw4z5fM5kMkXrBOcch6qKcaqKtmCKpmnouhYlg7p3lhekWYqOol0uqqqaro1fgXraM3X22w27zZamrpHCMx6Nefb4ERfnZ+SZDsW58AgsEOd5CaJa2BbT1DRVg20tQmi8UIFt4WG/2dK0rzAGzq6eoNIsCN3EuVNvDc60uK4B2yGw4f0iqCziee7jW9/E6AvG/yqBG1tvIk1PB4qjzvFJjpcJUoeDhzE4F9qa0gNJgchHwczSdcFAvm3DRegdpjVoARqFyDKQaSgcpSTVElcHxaKu7sjyEV5pFBqcR8qEbPYoyil3WO9JEo0yAXEVUiPLORLB2XyMyjPurm94+ugR5aPHrDYrvKt48ckz3r6/5s9+/teMhOXZxZzRdMyszJn7OYesZH33wOe3e1Zvb5AiSADbLszNeefQScp8saDe7Thsdzx6+YLUtdhqD90egWS727JZr9gd9mFRTsIMoiwytG/JZImXEtN1/NkXb1BaoNOcxAtwbUAwhMO2lrap8cKQZilSSkzbYXGIRAYFPGejnG5UKxMKZzqSk5a5GzzLiB3aEI6cD26OSDHQi4RKSZSiwKKoyRNJmilEqnAatJR0h5p6faAzHpsFmlanFKpIUIlnupjztJySVUFu2HWSu4d7kB49zvn093/Aj16+ZKpTlBfgDSpNhuDbVg3rzRpfaEazgi/+6it+9asvyJ7MWJzPkcZi2hZwUVUyKBV6Z6kPNT/+Fz/hD376O2Q+Cy13b9jvdiRSIbTjsN1z+36J9UFK+9XyhtnLBd979oKpHmMqix8l1O0B6wUuJnTOGHzXMNYJOQpnXez+dahoQthZS+scQjm8V3R1R7XbgoDV7ZrXX75jbXY8fTklTeesVivS85xH8xmJ10hhgiepbKJ5rwhovYO29Wz3hp2wTC8e0e5WFM9L7OHAdD5hvTnwV28eeLPe8M/+4GfkeYJQnq6pEaWimIxo1gc213e0E8fTyROuf/VzVqXghXvMYd1idRcUDJ2lbjvq7sDZmWQ6zTisvoPFotRDYiNOFtkPKZDHhdz3v4vD9j1iJ2z0JBxmrqKAgozJkoq01f5L65h8q9jNFxERtEPgN11N19YIa1ARlS3KMNCf6kCb9L5niwXquYyPnZJfne/luxuauqauG/ZVRdt1aKUospx+7qtpuii4Eq0lIgVVRRXJRCcgBIlO6KwL8uM6JUnd4FsH4VhopYM0vZfs9i2b3Q2dcTStwdGrUQYUdChAhoPcdxGHM3WsUQa1B44qgB+c1PgifR5EL4zTz2bFX/uh6vog2eXkXFsXOotNF9YaYw3b7Z6zxYSySCnLnLzIUTraRXiC7HzTMpkveP7xx5STSQCr+kRZiEi7CyBA09SsVkuW9/dsd2GuZjKZ4J3n4W4du8H9Qh/Ppw+0yavLM7732UuyNIl0SgfG4kUQyGnriuXynof7e0zbUZQF48mUNA02WNY5bGeosxqB5L28w7Qt3nmKoiDLc2RMmuVw4OIpGhKOY7ejqg7cXF+z2+1p2o627SiKnMVixscvnnB1MaXMNIkOFgihU3LieRlVsm0XTL+rusVYR6IzZhcX6CTFWkdV1WH+zHoOVUNOoCjaeF8658O8aBdEKKQMgkV9Z6lP2nvgwH0jcToFfb4rm9TpESwZHu2Lhz4x9wHkid27UO+pgfIeaJAcq0F/BKV6EbCeqt+zqYRUCJkMSqqhy0i4H12YX5SmozMtvu3AO6Q1FEXCbDIhT1O0jl0SqaIAEkPBZK2lOexZr5ZsNmuwNqpCKhIdPF8vLs55eFjy7vqW9zd33Nw90LRd6CpCFILSKK2HQjHNAgAkbaShy9j8UBqVBGBbyBDjpFYYG+iTzgF1hxzmy06UfU/ulb+tZDyW7MeVqP/eA2XHsnCAtk7Asfi3/VCjCDHWO4FXxFgXn+pPrJ58MGqvIx09zORZujYouJZlwWQW2BNCiGHWcL/b09Qt5xfn/PB3fszZ5VUArPqiuGdXWYsxge5e7Q/stlt2uy1dG0Qz8yJYoWgdiupBf8MFnWPhPR9//Iw/+sM/pByNCGuMGBgZXdexWi159/Ydy4cHvPecnZ1x9fgxk+mMNEni3HM7FEsm2v/0LAMZqadZnpPEfDucNxvZNh1dU9PUFW3b0MUCs21q2rrG2+ATm2YlFxfnXJwtyNI0dhOPpzK4FLioVdBiIwujrlo8EqklIpGoJGc0G5PkHU1r2G+WaCUpJlOStEBqjZcSbztMWw9NJIlHS4EXMs7e+8jcYVjnwveY1/49TYBvLRbd2fcQSYJIMpTM0VIHOWOlUbZBKobZGhe9QYzrcF0bKY+a4OLtETpDFWM0kBYJ+WiKzkbYtqFZP5BRo7G0KsXJBC+TUHgkGaiCXCeMMo0xnsNmha/3FAnoFEgSpPdInfBPfu8lF2dT1qs1Z9MJn33yMQ/rDbJpeXR+Tt113N/c8vHTZ8xHU/78z/+cX/67/0TqDYl12KZl17XUQnLQGjWZ4DZhwLlt47yD92R5TpnlXC+vGZ3PmBYlfr+hrVoUkBYZH714iuk6dKpJH5bgDZnWoBJSc0BlKYgUrz2QoDTRd0oG53PvotKeiepcBYgkmmcKVCJJtA6+gDZQOpUOkuWmaREqDunakOzJONckvMOJYCQbGgaBJuwFuM7grScrwyxn09wjzsc4EV9bKmxnUWNNWxsOrsV6h0TR1A2iNSif49OMsdbY/YGDlAjjOVwfuNvsOeB48viM7718SeoUtCCSkARpoXBNF0UWajabLYkpkMJSScvkp09xwjK/POPjH33KX339mm1V4bwZMkrvBVYIPvvBS6YyJfcBebGdwQnHbrenbmqkUNw83FInntnVnN/73Z9xNpmiO0m36+jqBpkIpNKkiQqLRRcCaD7JWVd75uWMcV6SKhVufDzW9p1Zj+186AZZh7OS7XLF7f2add5CovG+46PHj/n4fEJVJiSIKIIiUEis8VhhaRw4lbFbdmzWFauqoi4TrNiSXSU8e36O2Z+DlPy3//0PKIopt+9uePfqS+Q43LvGeUbnM8psRLXZUfsdi6fntF9WPDQG/WSKkw491UijMM6SaDg/y3jYBPsb7yXefvfQdqGSD5L4I6pyWjoek8fTTmHvFzskQH1i1CdKPYAjg8y/iPMwMg6qyyGREn2uhgB06sF3yLZBtlWY3Y2F5GI+4Xy+INMKJWz8LMOnHAzbT9Fj7x1NXQX7gts7HpYrdoeKfVWx3uyomyZ2W4ISqvdB+VDE/VaDkTs0nRkKUClDAaFU8GwVQgxJtxAiFhkaoSTOWJo2qkwKGeinLig2hy6hj0VUnw19uIAN1CwRS/eTqm/opPLhn36Au/vja0gfOiQKh0Ig3LFg7D9PT6/zzmNMEPNpjcUqxaGucR7SLEPHoitcNgrvYLPdYRF8/PHHPHnxAlVkx7mb+LkcYW7rsN9F2ukd1pog2FCWZFmGaQ2vX70P7JFo2xndkPAOMp3wez/+Ec+ePKFrOkzT0TWhA9d14bVXyyW73YYiL1icnTHpjbBjItQroSaxCJMiyN5PZhOePLliNBohFRFh77Od4UZgkP33sF4tefvmDZvViiRJydKM6XRMkiacnc25vJxTJCII3QkRVAAFCNfFwkHQtZZ6v2e32bLbVwilWVxcsbh8RDmeodMsJJ/GYNouigeFe885j3WRIuZCAmlsAEelkkErTqlYtEQdyOHm6dUXw/58F4tFpTPgFFzp7x8GqIReifaU8SBPxL36rFecxETR0+FPAZHgBSdEFOXomRSiV7sN7x1mRg3SWqQzSBPYFKKpuDgPNL4sSVDCD8yNMKsrh3OntQ+iU3j2+x1v371nuVwGVd/AjY/FiqGJIkcBWAjggFQyAFtR04J+/6MmRxCBkaRZTjEaszg/42G5Qm53SKkYjUeU5TgYwMMwAxYiSlD19dYdZyCjOukpcDVs4nhuhkIurkXefyhu1XPtj6HSH1VTI8AZ6pQ424ZAiaD8L33/6SIdlWDWbqOdQgx+wewdSNMUnSR4TwRgPE0VLIOklLz87Pt8+r3vk6bZ0EnEx5m4ONdXVQf2uy3b9ZqmroN+yGSMlNC1HWV5P+yfizFZEjyEJ6MJ//SP/xkvP30Zzr0PNhOd6airmvv7O968fsPhcCDLMh4/fszVo0eU4+nAIujBLi2PeYxWQbRrNAoekWmaRcps7PwJEWn6Bmta2qai2u+o9rvgPx1VsqUQZHmG0ipYDs2npGkS5x/DufI+5OveOXAGE2fF692ew6HGOVBpjtYpWTamnJyRlVOUTrDO0dZVKFDrCrxD+zx+vgiK9eeNAO4iZQSPo32NEINK7yn9+ANqzt+yfWuxOJk/B2+ROIxtcW2D6wxNu0G4Nux4RDOE1CASKCao8ZxUhRtbizigacPciWgbxL6m8BVjn2JVwmG8wLiOutqSjRQWEEKTJhlJUiK0JpESLzUqU2SJxnZTfHvAuirYazjLeDrh2WxMYlry6ZjGw5u3b7k4P0erhPXDEmdtMBYVgUb76fdeolPJ559/yfW7t0GlsusY5SW2VlQm3NRNVVO3dRz092RZRrXbo7Xi0bOnGC+pdUm5mNJsNmRKcXl2zmcvP2F5c8O/+Z//J7b7LcY7EqXQRYlMEiAgwTJ2VuumxnqFg2Bp0QRqpVIJQihs24AOykZaC0zbYGxAxGQSEl7rgteNEmCNxUvizIGPvlp9YBFx4Dgu9jG5E97T7StcqpmNxkF8QEpEltJ0Btd1FHmC6xyus7TG0nUGqTXXb655fPaM7z2+JCf4XiU6pasbrlc7Xq8qGE04e3rFYjojEf2cSLiBbNuwuX3g0NUkqcK2llevv+Tt3Q3/4F/9Q356ccX67QP1/Qa5bqAJQ+IuzlRoJUlSxY9+9wf8oz/4XbQTdNU++D35DmeDwMdmvUGlKSaHR997zDgf8WRxSWZT6q6hrSust4OvZT5KEM5RHWr8LOWP/sUf8PLyOWNdooVA+oDOC2GxPsz4dYeWpusQXnHzasntwz2tr5Fnmt///o/JjOLmb96wvFkzXcxIsxG5yhDGUDdB/dQ2Bl8bDlvP4dCyXm/ZmIZValicndNkFZcXV2QkJLqg6SzCSbzxPH30lNymvH33a0RuwHSoO4NxG9p9RzEtMe8PPOw2XP7gCWqec7mYktuUvYdyklOOUq4WE9SXsNpe40cdqvzuJVA6LWJiJE8Q9VAsQY+syyEhCkXVKUbXQ8Q9fa1Ppk4TqJCASBlfV/by82qYtwjvSWR0eITXIZYmKdoZvLNIZ7k8n3M2HUexBzm8z0AN830SJ/pmIUHkJlz79/f3PCyXHKqG3aFiuz/QGhOH53WgH54okvbUWQ9xYa6iOIiIhaIkScKxUkrEQpJB5nxISYQPqKlUwa7TR/pfn+nEz8mQsH+4naa3fc4acqV+P2PyefIHfR4mhlcI0Hyg6/ZiKgzJzWmnqf9rG2f52s7SmTD2YK0LFiRJkGkPRW5AoHe7PcvliiIvePbRc4pxOSDZEkICZlqapma33fBwd8d2s0YryXw+i96IOUpK6n2N9YK2s7RdWA98FDcQAh5dnfP7v/97pKmmOhxompo2rmNtFC4SQnJ+fsH5xUWQUB+6ROFLKx39GYPS6H5/wHt48dFzPv7oGWnan1sVPDIdg3G6MW7Qb3q4v+fLLz5nv90yngShnSzPycuG1lim0zGjIiNRfUfAx6LX4l1Yr5r9gc16yW69oTockEpzcXXO5dUTyvkZMsmQQoZOoU5IsiwmXmEUwxo7gCOu99GICbkSAqHloN4a7uPTayN87wvG72SxmJQRmArU8iNABr1ohohq6x90Fk8K6mO8O+mCxV8PQBoiMib0oN54arkxFJ0igk44BEHsK/EO33Xkec7Ljx9zdT4PNGJ5LEr7KCD6mW3AS8FkMsM/8dSHitevXvPV1685HGqsDd1DpRVJmoFQkVIeLg7VWyDJfp+PFD0iACalGOLDaDTi/OI8ULOFpMgLiqII3n2AizmBdYT3ccS5bPeNGNPH6+PRPSkFh/VjOLbxYh6Kch+kI/vO4CBg+Pdcvz0ltI9/A0DC6d9GYqwUwdg9C/Y4zjm8bemMY7fbsVqu0WnKRy8+oizLIygWW6jW2iCotnxgs1qGDpx35HlOORqRJAnOWdZmw35/YFcdojhb+Dy94NjTx4/4B7//u0gROp7OOqpqx3a95vbmhoflEoCryyuuHj3i7PwMnebHNdr185v+ZJ9DIZoXOU8eP+LsbBHEcvqZWNGfczcIg+3Wa7arJYf9DueD6ngWZxuTLKVrW/I8I03DfGHvFemdx3YO23XYtsF0LW1d0VQVdVXjvCQvJ5TzM/LxjKwck5UTkrxEyiBomWQl9WEXmR+hMymEHERrelVhKQSuv018RBaPJ/sECAERZ1e/bfvWYtHc/RIvBA6J1xqV5mSzOT49wx0OeNcikgyyEpWWpAS6n29bqPcILEKFA91Zj+1qMEFy97rbsKqaoKyW5QiZUJYLtArDlx0+Jto7SlUiKOiMRXrLKJEYITFkQA6lRpmajy6nXI4Lmu0KZxomoxH54ozlek2pE5I8owG22w2JCGInTxZzMgmpVmglWW1WbDc73t48gMooJnOc62i6NgQVKZFpQloWuLom1ZJMCLrWgDRs1zs299fIVPGl8Hz1l3/J+mFJ3bZBUbL1oBzOJ0iyOBsRzI0DQq8xPqh+tl03FIoQFlSpw2IHoXvYeT90J2REdlWcD3Cui16MEil96D7iQUIidDCwd4EKFeZo1LCIGGug9WRlAsYhU0UiBHU0Se20YHJ5zs37e3ZNR5LnzOYFRSHxiQ/znFZgo1dVZxx3ywoWI/7BH/6Ef/QHP2OkcqTzuK6jaYLibrXfsNxtWa7XWONYmYanP3vBhXvGk/NHFFZBMuL++ob/8he/Yt1Uw2cPi5xFp4qf/f4P+fTJE2QHu+WaQ7UjTxWHbYVJBCLXdL7lxe99zOPzJygjUB10XRdu5KalahrycaDbFVmK9oJGC372Rz/i2fycXCRIBzKRAe63jq4N86MCQVsbNrs9bd3x7uGWbmxYXE05n0+YpyWKjH124N3NVxyU4JOrS4QR0Fk6Z7FoOptiu+D3eLdesrY71HnJ048+4vn8HK0yynSBqaGuWg7WM8kKFBrbOkzn6IxElTmLdM7+9o5DV2Nbw3a5gqyjPC85O6Tk4xKxbqkwuMkYKTJ8J0lkSqYLnBV44ZjOJ39PWPnt25J8HINnpNf3iVJEmHtJ7b4w6xG7nl4TZMBNpKO6Y/EztAoF0AvfxAKzL1L6akYeU4TjrKFDkARPuOgZlWJYzGaM8zzOYZ2E+W/UVzImQUTKl4z+dvP5lDzPaK1ju91zc3fPahMUPYN1QUg+ejbCaQfBGEODQGk5qBIKogchfjhGCBHWDxdMjwekWYSiEWdD8uR7+w9Ojtv/P5v44NvQHfnGS3zrK/anRvTPPC0WY282Fr0mdiWMtYFeq1UYC9BqAN1c9Ohbr9ccqgNXTxdMF1OQwVPMO4/xlq6t2O+2Aw3LtC2T8SgYSkcVUyUDst12Hav1hkNVh0IxHut+755/9Iznz59hnaWzHYdDQO6N6UiThMlkzHxxxnQ2Qyca+t7pkDj4iNAHyur9csXDcs10NuN3fudHLM4WgcYkemAxJk99p0Jp6qbh3Zs3vHr1Cmc7FucXXFxekGXJIKAARAqhRPQqpxx9GLu6CjM/qyVt06CVZnHxiPEkeOOmRRkABhvotcPZ7U+4BOklXrqh0388ybHIUDII7mk1UFH7pLtPHr0/me3/DtoEyTSCBUPxdgSyPqCehnbiELGOsEt/n/T3rj9WOCf03WEuW6j4fuHfR8EbPohzoTCIXqxC4mXNIi346MkjxlkSlXePnba+K9IPLHsYZk6TRHNxccHHH79ACMnhUNO0HfvDnv3+QFXVdJZYRLrgUStPOqnhww3UyWAnAcI6trstVV3RxnnHQGF1KNnQtjqAEuoEjInglRtAMDHcdxHH+Lu3U1Ts5KGhWKQvCMSx4jxZe3x87je3fn98BEZCHFbDPXMa/yB03rI8j7PQIlIyLVXdcn+/ZLnakBQl09kcT7DdEJG9Zm3HfrPm/u6W1cMDzhrKsmA0HlMWYSYw2J017Kua69t7DpHZcvTbDXtzdXnGYjbmsA+CNdUhiNhsVkuapmE2mXJxdcXZ+RVFWYZzCOAjfb9XLo3CY13bgXPkWcrzZ0/49OXHTKfjY8ctCr94F2yMDvsdu/UqFIq7Ld77IGw2X5CXJdZaxD74Sh7XSxsLtfj+bUNbHWjrKsw9tk2Y0VUFk9kZk/PH5JMFOs2jj7oaRlUEIgJkRegz9yKjuGFELgiOBpRUEm8PQjPIO4uXarhEVHRVCHH1v8JnsUsyhFKoYkI2uaAsZ6TxZu6KDiE9qU6CiaX3dFXDdm/CbKJSuGg8ap0JhYmXiCQPib1SGCXAdTgDSiaAAx0446n0JEkQuOk8CNshbGhTG9cgpSLVBU6HblpZ5vzD5+dIY4KRsgw30WG/QXofJODbDq2DwXzdNMFIeb1iu1yS1TWfXp5TP76gQbHZHXj3/o6763uq+kDXmXjxSXSekBc51zd3ZEVKZz0oj7dhliUpc6zr2G63KCFwWmE7gXdx0FRKrLdob05uTsGhMYRZQ0Nb15i2jbQAhxAuDFonEuGDLQhCIBIVRU3DldHTgZyLam6aQGsMK1+00ojdYCRuEJE4gbZiEqCUJ1USpMdJSd0ECpZU8Oxizrke8cvW0zlPKoLtwuXTBZ88f0ZiJaazOOPjjeG4X+84bGse3t5R//BAK0OyW61WNKahavZILahty54OfVbw9PyMF4+vyF2K7GB/t2J7v2G93rFt6nBs6N1bBNYLtBBs11vqfYsvM0TqaWvDfrMKHl9Xcx4/uSRLFLPFBSNdRppZUPq1bUW129IJg6gtsnF0mwNN3fL0d5/zz/7pH7DIJpFo6jBdyPN99C/qmgYvoKoM1+/vMUlH8kTz6ctnLPI52im6XUO7O+BdTZJ78lmJM5bOdzTrPW21w7YV9f7AdrfDa4NfSB4/ecnF+SXjdELmU7wQKJfSdQ22qVFFiRQK7wTOd+TjjOn5OaXOaHY7dCaZjEbcfnGNGinmixn7t/tw7puWGoee5GRpoHw/rDYkqcS4FiE8TWfJsu8eDVVnxZAsDPMlQyJ50vXr6VN9MnqCFAsvoz/ZCXrHSSKFoxco9xHp89E/SkaUN8jAB4BO0r9fQPylFChnyVFMRzl5IqOZcp8kwJB6eH/0ahRE9blIQ1GScbRXUElK3XSUoxGv3rxls93F4gigGrpvspfp9gSFPAzOS7QWCBmKgaZuQjHjTwhusdi0kSboOUHQfRQxcVHUJCb+sUQ7pkdDzn+a9Ij+v5Na8dgp619/+Pu/pXaPIXPocPRqhw6wPnZE+4JBCiwuxEvCzFsxLkgyDSpQ+G00JK/qmvVmg7GGrMhI8xQkwQi5bairit1uE6TVrUErxfTsLMrAF0GsQSoEjs40LB8euL6+pmq6QEPtu6AuKN9dXZxTFhneW6ztsDZQxoqiYD6fM5tNySN634sW+Ujv8s7inKWtW6qq5mG55qsvQyfmRz/+AS9ffkxkH4cOUKTsOetI0wQ83N898MXnX3J/e8NoPOLZR89YLAI676zhcNiHEQ7T0baGJFFx3QkJjjGh67Bdr9hvNyg808WCxeKc0XQyfG7rHa5rUc4NXa/j1XAsevtLZSgm+uJGAMIPuj/h336gf/vIlOrXP60VKvl7rKh/CzedZLFQ7OnvHwJjp8JYcIJh0Rcqfjh3vrdAcP1xP95oA7Ohv0N9/7f+9NXoLXkELt7QcvhMs1HOxWxMKkFhkf7kdT0QmQHh1Ic1vGkadrs9u/2eNM95+dmnjEaBWrg/7Hn16jV/8+vPeXd9h3Um+Kameuh4utMgxckcqwuG6U3bxllYG226uoDBC0HadlGwSaJkLBLpY30oPvzgaedPjoIf4tDQtRVx/+iv57jvsUkkZAjU4uSaD8XVSfnZLweCvvcagL0Y36wPsc56gu92fI3+FXy873WaBIHGCJBaF8ayNpst19c3bLZbLkdjkiwNYwUuFNhN3bDbrrm7vWG/3ZCmKednF0ynE7Isj4rQntY3dMbw8LDkfrXC2DDS0+9TAAAUk/EIa1qWDxXL5SoqOrekiebxk6dcXj0Ks4lZPoBq/TyjtYauaQLgZyy7/Z7dbodzlvOLc3784x9ydXU50FWdtVHrI9idHXZbtusVh92WLtqHjMYTxrMp5WiC0pqmrqgOe6y1YfQp2v0Eq3SL7Vq66kBT7enqCu8twkuyYkw5PWdy8Zh8coZKQuzs2hpnupCbJEfAWuskzjuaAXCjt//pz98JwAsO70PnEReKRSFBa02WZUipgnjit8WNb/vl6NEPUVKTaU2mFKqx2PZAbTu6KL1qhaRJNWlWkmaacjELAgAmqHQGCdhg7UBqoyCOCYFaEBc4hVYCrMRahRECGaWZpTDhuwrP9RI6L9FC4r1DGotKJKMsYTHOqasKTZihs50l1ZrOdGgpw3BnhPFtZ6jWS9rNlldfveavfvk5lff87I//gI+ePmKWF/yq/IpfePibL3akacLLz17y+tVrLh5d8HC/Ctxu5zE28H9N1wa1K4LfzP5Q0bfihdLIJCKeOgjdiNip9EJGw1GL9J76cIjUoR4s8sEIWUpMG2bzhFZInYb0U4HQAiVEoOB4FxZD21PTYncRGW/ioGgZ2tWOI93Ax2AjkVqjE4lOw8VpHTSNwRmLkIrqYcM+msMrHTTPH5ZrTPqcNM2wqz2t6bCdZ7faUjWO+0PDal9xgSHNU2xTc2haVg93NLaltS0ikbhU8eQHz7g8uyBFkaLQQoRE61DzsFmzaw90rgN8cCqIhZrER1l3RWdauqYGqcjygoaay6ePuZifM58sSLwkkzm6E4GCZQzNoaatW6z3gcZVVdR3O37+l3/Dvaj5x58+Y56P0b6f3RHYzuI6T73esd3sWO22oAS3DxvcqOPyxYKz6ZxZOUXUEi11ELO4ecB5x2wyYTxbIKynMUF8ZLvfYLsD6/WSu2bLR7/zlGePLhilc0bjM1IKXNPhfIfdV7T7Lc4KpBoH5do0wdWSbbUh8R6z2yOVg1STOEVRFJQqpbnZsdztaXJNmpaMywl11dJ1HikcXljqrgLdMVrklNOcXJffGlR+GzcdZxTo0fT4/RTB5RtJlCfSuqNIyYAc/waFsm8fBmmuiCqAk0Nh5PoKTUoGnwh1+t5BCEQLKLRgnGdkSkRlNRiWdxFxH47osI80765rOBwO7LY7mqYhTVLykSJNEqaTCaPRiLppcZ7BsPqD6iqm5IE2Hj6bdRbpQlxp2xYTKaWnZV0oCMxwTHuDd+ds7LaFRUoMx60/KhwLPXE6n9hvJ2h7/1EJdCVHP8N4mpj2j3HSUeqPLxH99xgXvmwsfKXsbYjCmqS1ZDwpmc0nyERFu6Jw3k1nOOz37A97PB6dhA6Ws4a6rqK34YG2bUgSzWQypixL8ixD62RIkkMx6Gmalvfvb7i5faCLAht9IukJHYzpZBzUyW0oApVSjCdjxuMR09mMPM8HxV0xHKxjd6htGva7HdtdxatXb3n15i1JlvCDH3yP+WKKc27olPSXmZJQHw68+uoVv/78C4yxPHv+nGcfPWcyCci8s5bWmtiBaKiaJir7WSQhfwgzTHUwr+5aJqOSi4uzAalXOrBqrLWB8dEFHzSlFFIlAzV8uBr6Isb3t6IfuoRxkYjFSeyrxJulp61652L3PUcoFUdFvlubTrMYy+RJoXj8ud9Ct/HkLgtBZeiUwWkH3g/He+jUuuN92f/5AGj193SUMpbfUCvGhXgwKTImeYISvdVX/Hx9N9GLkDR7onhXy36/4/r6mi8+/4LVckleFDx79pzxZEpRlnjv2Wy3rDdbOmMoiwKhNE3bcaiaQO/zPhYVBg2DtYDtry1id98zxI9+G1R2o4G867taJ189kHWKY4UH+mMTvgexsg8LxvB2wQrpeL480p1M158AZQPWNgBw4f9httefiEFFL8a+iI0xT2kVxLuS0DW1Pngp7vcHbu/uWa42cd45QSkZDeoNm/WK6+tb9tsNAsdiPuPi8oLROABAfUFmogXFYbfn5vaW7XaHcXE9jcBqsGoJzITDfo91HU1dkWjNdDJlvpgzn8/J8hKlVKT8x32MAldN3bDfb+najqZtef/umuVyhVKKjz76iCdPHqG1Gq7p4NHZUB/27NYrdts1XdMiZbDMm84XjCdTdJYhhIrXRUXXBlBQkOCMxSpBqJ8D9bRtW4yxCKXRKiPNCkbTM/LZOelojtIpeIttK9rDfgCRlYxz1lJBwhDXnI3Kqn2s+yD/6OnJYc0V1oI0eORRZ0DKobj+tu1bi8VM5XRNS13t6ITHty3ONLRYDGKY8ZE2I+88WS1JdMrZbAojQV3tMUicCxQcZw3GG4xrghBOG24+WUxpkUihglqoBR/FD3QSfAGtA+8MUkoyFfjN3jU44TGtQBjDSHmKPAfh6eqKSZKAUtGjr2Y8GmOdZX/Yc/vuLW6/C4mP1FReIEc5V5dnyPs1f/PlX/CmrslHBZ9+7/u8fvuGrrNkWUqZj7itb5jOZ+x3e5b3D0zPrpBeIqKxr1QKR4L1BpWGQi8pMnACqVKk75NGhY9BzpjgqdY5R6iOw9AqniAMYQ84QKo0tI4R4HwwRwY6E8SGRDyGkqCC5EXPmfeRpjFEuxisHV5EBDEWs1makYiAyPSe4qaOndNUU1U7OrtHpkGNVSvIzya8eP6UpAs+gLbu2D5seVivWTVwt6swznH5+AzlRaCG7Dasd2vu7u9Jzks+/uiTIBiTpkzUCOEEwlm8i4IaJswCitbhOzNQ2HrVOycE6aLk5WcfMylK9oeWjo7RYsSzdMp0NMZ3Hu01vnF0tsXYjrqp8EC1P7C6W7M+VFjf0W5rvvzl13y+uePi957x/ZefUIoRrnEIHWaW2l3D6v2S+/sHNvWWu8M9cp5w9mTO4mzOo4vHjNQULTS1a2hrQ9d11HXDV2/fklzmfCYEurbsDjW4js4YGgzpo5JPZ2d8/OIlIzFGCk2uxtDIcO8gMa7CVDVWSjIJSiU4l9C0Hel8zN4dcIUjKzLmi8dU79ckfsfy+g43VohCoEcJ8/EIc1exNR1WHigmCWmWYIwnnWqmekRaFEiKvyes/PZtKjIUhuLo5PsHCn+ip/CFFo/vC584sN53yT7chkomgGQnmUWYFfYgwhD9YJ6MR6KGIlPKSPvzjlGWMC0yEqWQwg7I9HGBOClYB/pNsP6pqwO73ZbqUIGQpPuKJEmCuI2API8eToBcyYGad5J9D+/VL+Ku91OUwVbC2pBu9KqBNsqkQ0hAnXMRsY0xKVRGH37+YT/6c0KvGUWgFoXffVg7xvMkBcJJpHRA+AyBpiYGKlsv2hHmR8XQYQxhsUfd3QkNKnrcCkgyzeXlGfOzGR5HZ0Lx7J2lawLVresawCElOG9xXRAx6LoWrSTlbEZRlOR5TqI1vV1IuBzCdWWMYbfb8ebte1abXRDWcf05CGmm1orRaERfPSqtGEcLj1E5il6LMooqBeCyL6atMTRNzX63Y7PZ8PCw4e27d2y2Wz55+YLnHz2NokZ+oDHjPW3T8HB3y5dffMXN9TXzs3N+5yff5/zqijTNwnG0djiFbdtxONTsqyqAq12H8EGIoW1quqYlSxRPHl9xdXXJaDo5oTKH8yciGGitCbZHUqNTH0DYYZY43E82JppHsMQP92Vg2cihE9nPbUFPow4WV1mU4xf6u1cshgI8RiEpBwr1Md6dRJP4v5BvxjLC25h/xYT+hE3QXyNeiMii6B8/Vo1DHSOCF6w8FWiJnT3vPToWi0UikdihsAq1VD9zFos3F4RZus5Q1w2r9ZZ3b99zf3dHkiQc9sEjezwecThUZGnK5cU5i8UZeVHysNry1as37A+BRdYXDUBkuIlYgBzBxBA7TlQ05ZF94SJo1kW7HWuPXR/gZF/6n09iWv8M34MY4eAMOJE4riCDB6SUw7rUH0c4vpccTu8xYIYY54cuo4v5aB9vReyw6URRlBk6CV1oaw2Hw4HlasVqtaZuGqzzQchFgDUdy4cHvvziC9arFbPZhKdPn3J5eUFehK52ROZw9B6qLdvtloeHJVXdDsWeJyyBPV22P85ZXjIeTyiKkqIsSdKQE4fiMlxkgQERCsVqv2O1WrFerUK3c7fn+vqOzXrLZDbh2dMnZHke3icK/LRtsPVY3d+xWS3x3lGWJdP5GfOzc8pxGBcIjBSP7YIeRlsHRVKt5MCckDHeWutAKNJyQpqmJGlGlpdk5QSVhVlia9swz1jvaavgW6yT8Fx1wnTqZ0cjDSiyPj6cx+zBGI8Ha3HSIFSw2xBSoGUCUkfBvW9njH1rsaikQJYpzmu6pqJD4dMC1VfRziFlgs5Kgv6Oofae3d01E9GRSElXN3Suw3mD6xr21T4YohuDQCJVStu06DRjXI4xXoNKUWkaArfw6MivJwumul3b4GxHqkBJg9CCy/GC+aRkt16ymI1ZPHrEdrsjE47Lx5e0jWH9sER7x7Qckb58wbuba375q7/h7nBATXK2yzV//r/+F2Znc37+61+TTUY8fvScu+UNHz97SmOCkM6vfv6XrNcrjLOkRYFzhmq7ZjxdBMNlrdBpRpHnQbTFuUBNNFEl1huq/QFhJC4BJxTCSVxrUCoJKDEObwLV1BsbFFCFC51E4QbVUoHGOUPtLGkeJJ+J1BAZKaQKgXEW26OookfxJXhLP6sg04Qk1cFEVQg0Aqk8rfVY16JFSHyMsRzWBjrDvjLIRJONEp6/fMLj6Rni0NB6z25bsVyvWG63rO2Ig/GIFLwUdJE+sT5U7ITj8c8+4/J8wSKbonyK8y6qgYZCn7plvz5QHQ68ef2e//Anf85DfQjqdzgaY6i6MBclbc5IZ0yzEZ00PH40I/NBaEd5AZlHC0XV7rHO0mwqDl1ImoVX1I1h0+5pqprbVzf86Re/ohspPp2UjJOMdnVgZzoS5RFtKOTvlnd8/fYVdu64+NE5V1fnLMoFwipGeoZ2Cd46hIOuNVTbCqU985miER5bW3bbjt3qDqEbXOKZP33MJEsp84xZvkC7jKZ2tHsDjaHZrUBprFPUtaXNLCyvWRnIs3OyaUFqOy7OzpFJuBeXv77jcLfk5v0tzazh6fwSuwOXprQ3W0TqUcbSNAfkbIypJAdjWIxK0iwnK0qUy741qPw2blKqWMjJkwVVDIuzjz95d+zIBEpH9AP9xqziMTU6oUb2xUx49BtUOYZkwXkBNjwSLOoDkOa8I/WGUVZSZlEZMFZMfcHYJ2KnAgrHujGKLFhP2xmatsPtahChc9N2HWWRM5lMUEry7t07vLNR1S8kRur46cM+nnRZe1/OngrfH8bQQTSxoycHWlE/49gP3vvB6ON4TI7/FuDEUMd7L07znvh+PiZdIhaWcTbulPIlGArGvsMYzLn7xokYuoouJscyLs79J8qylLOzBaNyBN7Rtk3slDpsZ6miP1k/0+edwxMUX4siJ88z8rwgSbIh0cT3HVsTiqIuKJqulmtubu6p624oaoak24XRhNGoAAKdMs9z8jwnzfJoIn3a1jl2RLquC4nQcsVuv6PaH1gu1ywf7rFdy6OLc8Zljnc2qA5aQ920bJYr3r59w/v37/EOvveDH/C97/+ArCjoTKS3ir7gjXYjTTBGb5o2JDo4sEFsTAnBYjHn0dU5i8Us2BRIMSS9zh7BDh+B2Kap8Qhy71FpRj8bJ6NfzLF7E64vL/p7MhT+veoj3uGt7fuNuAi8JmmwhlE6zC5/17bhmvuAKdHfTCdJeowhocA+Fi49dbmn4B/Box4QC4VOT5//Jq11uBZ9XzBywgA4glJaCqZlRqpC2Unsqp3CYvh+HjCcdxNFbLIsRSca4xymbnhYLnE+2MCIeAyePnlMkmZUTccXX73m4f6BOqo8WyFCki9NPGb9HHuYe4Uw6tMXhhDA6rppAXEsMHvRJRsBC/cNUGy4pb8BjMWCW/YHynuOxpX+WKwiB1/dAOr3ysS9qvNw2JAc/XX7l3QufLZgm3Aa0wU9SKC1oozCPdZa9rt9mFNcbmia4L+Y6HDfOGc5HA48PNxR1wfOzxd8/MnHXFycncS6HmR1cdY/AJm73Z7VehesTGwvfBXBHN+PCHjSLGU8GVEUISdRUgU/377gjjm3s5G5sN9xf3fH7c0Nh/2erjPsdgfW6w113XD56JLJdBpG16wL1idtw367ZXl/x3azQgjBZDrj7OKK6eKcoigDGArDHGTX1GHkqqkGIUyiXYl1NnYABWlekpclWVags5wkyRAqCfP9NqitdnX/WjVeSNq2JmkytA/q435YV3zsXPcAjqWfRj1uPgDbGHAanAEpg82bTlA6RyXJABL/Xdu3/lZ0G7AOJSVKSwqdYYzDyWDAniSazlroWrzpEK5FuRatQOUJh/pA2xxouwbjO6yXqLwkQYHI8DLBqQQhNFLA3jucTshGU/AdZaJASVoPzjSoziCVwGsJaUFjLN6Adh37psXUNYv5FOstu/WGxWyCTFJ26x1KCs4Wc+rmwN39DeZQ0SzXTIXGFSVu1HDz9pq77ZbZYsZ0dsbew7/5X/49kzLnf/hnf8j/+m//v6zu75iczblePoB3fPT4MVomvHn/jqwMoiVOCDIZBGGs83Rti+1amqahbZuwyCcF6UQhRAqJRtjgK2StAWPjbEwv3etBWMAi0QEpcB7pA3prReCRd3UbVOuEgEQgnI8dTI+mz5ICZcx6C8oivQxdlXizp4OSoUcJRQLkIsypCO9i90FSlgnKefKqwlrJ5WzEJ7MZumpo1gcO2y3b5YaH5Zq3+x360RidSuZ5xnw8wTWG7nDAZwmPnr/g42dPSQxkOlhyCOMQdOiImlVdx93DHdnFmPNH5yGIiFBA9wtZ5wzGOerrB/7kf/tzfvI7P+D7L18yTTK6piHRCdq6UHxbg5LBC69tWpqupa063v/ylne7DcWjjNQKqqam04LRfMTjZ1fM8gxtO1Sa0lYNr16942G1ZtvsyD+Z8P0fPKWUkun4nJEe0TUGGfnqQUCio94d2K4PfPn1G86uCqZFRlXXJMZRmxqjOh4/f8Tji2dkLiFNJYlLaatAn9CpQFqDbXYcVlv2RiDKBOckrm05LF9xEK+wb2C6uOL1F7esqi261MxHGZlImDwtuZAJu1crDlYhqwaRWiZC0dzvMI8zpPB4ZRmNNEkiybRilGQ4892b45GqR1FOuoD95k9m6uJsgHcGb4/zdn1sPnb5PuxQigjtDmqqpwXkB1VPRNlF7Gw5opVKkLxOlKPMElIdgB4vPqR8ntp8DBSxHpEVkiRJSaLSW9d1VE1FGz1YpRRMpxPyLEfJXegSRsn5Y1HIsD9CqcGCwBPFIOJxGkpmQTTGbkM3IKKXPvo+COJxjYViP099ekDFcIfHh07XwT7//IDvJlA+FBwiYmI9ba1/Vk/pOqLuJ0Wv93TGYaL2vYjKtzKqMaZpQlEWJKmm62qapgm2JoT3aUwb5piEREffRSEgz3OKPCPNMqRKUFJHSfN+5iR0P60N8ampG25vH7i7XwYFVkJx68Uxoc+yLKD1gE4SsjwjL8oPFv4ewLDu2E1cL1fc3t6y3WyC3LrzwYi7qkm0YrGYopWg61qaykRrj3tu3r+naVouzi/45OVLHj97DkJQ1dVgoRLezGOsC6Ii+4q6CjNJaWJwJiiQ5mnGdDLi8eNLJtNJWJpi8R7WODtQq0LxZyNYGealnHPk3kfFYjEko94HNL/7RtGICJ3kMKLoQ0x2YSYJIVFJQjkqyYvi6DHKd28bjtMJfXcowAaQKY6l9P4sESA7drns8Nx+Zi68QuhGiajSHAzB1aBYOtRDH9zj4uQ+j6/gLFkqmI4ykqQHp/ri5wgaDW+LHwQ+pBSMxyMuLi9Zr4O6Zt003N8/AB6tFLP5nPOLM/K84N3NHTe3t7RdF+bEZdCWyLKUNE2HsZYjRVwM3etgz2KHosZ7sNaRpDZ05fu42Kv+9teiP11iPFGlj75YD7HJMWhUup5KfRxTkFJGcbQwkuWEC35A3gOW00PUU1ADgyKcbecD1dJKBiDKx98P4BmeNNHkRQbOczgcuLm9Z7Xa0HWBQae0jJ1kz2G3Q2pFlqW8fPkJ52dnlKMyCML1YEM/AuWO65O1ls12x2a7o2n7TuyHDAFjA7NCiKP11HHF66vgcBwDMGro2pb1asW7N2/ZbDbxcwTRmbppsMYwKsvQ2PE9xbbjsNuz3axp24bxZMJiccbs/IJiNEbKJJ4SizUd1nRB1bQ50NRhhMxH9p73LlBQ4xhGmuXk5Yi8KNFJitIJMo4fhNlGg+9aTFtR14dgRyfDWJjSGm0NUupI5w/x3NkWa9rwWWLx7VwYI+nH7gKrAvAGfHi/JEmD2FWSo9IU/V9TLBokIolP0zlCalTmSaVAIXCmA2+xvsXaln29xrQHhDWURcrsbEExWuCr4AeSiATbeawRQbpaZzidgU6QKiPVmjxPGQlPt1vhuwZMKFYzFRY7IVVA2q0Pg9pZgvU1/90//V1S0fHuzRuePrliOj9jv9vhujXj+RSk5P72ge3ygcVsQjqZMl5M+OjHn3F3c8fbr695WO+5fVjx1Zf/ASkEv/f7v8/TP/5j6uYA2z0Fgs3qAZUVnM8XrLYrtts1i4sL/uEf/gHGwfu7FWVaQNvSth3WWKz3tF1LU1fUdYt1Bp0YfJKQJjnCO2xropdNd+wSmJCQ0icHHiQWb1ucVzghoixvgkyC8lRrLUiBtAwB1noXCmxH8HfBo1ONEDooGioVZkAiJUcRkkFnDbuqQWUKZzxKC0otuZiUZCONQvH29R3mULO7W3H79j2PR3P8esdm98B2t+S+a3j6k5dMfcn7n9+xaTruXl/zZHHBoal48vETLhcXjFSGbSqkcORJEKrpuhZvwTYNTVUzvpySOsH2q3t22wMmBmDrCUiUCwW2ShWPPrnk2UdX5B5cHVB/TDiOwXepRUhFWxla09G1Hfvril9//or1qONH+gnWBm/K6WiM1im2cZjOg/S0VUPdtOiRJC8yFpMJV1eXnJVz6Ai0CIL4hWltoBjHbktdN1RNi80yvlxumLgxF/kemaWMn0w4f7xgMV5Q6hESQaoSzKGmdQ1OdLQNiNaFDnyeYLuGcjzlcH1gs10xHickWUI2Kmk3N1w9y5g2Y4QE1ULlHKn01DcVS9NSCUmRhg7m5vWS96bm8TwFPONZQZ7n4BRpUaB1iot2Et+lTYah6Li6nqCU9Chs6Jo4G4b3OZGoFvSFSC8QEZOhwX7jw87i0OwZHuu3Y6HkvQUrsCdJhcSjCsU4S9G9EXFc1KU4KQw9w/e+MJIieC6liSbRGkTwStwdqjCnGJMs4kJ8d39PdThgrQlIppd4f6RfydMCqqdC9YsSx306Ut8tzh3na3r/rP4AewjFZH/U47kQwwzNsWT0/bE7Saz6s4YE4ftMJ6rFnRzfwYw4/k/AUXo/PjYUva6fcQuJmVZBBVedzMk566LpexiREHFe3XkfxAPyPNhNxKQzy7JAb0QGRNyDEL3dSegm9PNS+/2e6+sbVuvtUeI/HmPnQiI/KguKPEcpEV87Icvy8NmG+SqHhFiAViwflrx9+471eoUg0Oi8h85a2taEEYDxCIGnrRv2hz3b1Yrdds90tuDy6oqLy0tG4xFIEQpjCP5tUoYuoA802qqq2e/3NE0zFAVSCLI0ZTGdcH42C51srYcZJeHjmtUfk9hRtM5hTege7Q8H1ps9RVFRlAVpmqG1CgWnc5H6Z2N3wsVO2BFY8VFZ2BvwhEIxL3KK0SR6hXJytX23NiHFSUfr2OYL4SPssR8K7SNAdjwefQHJN15HHoEVpVAqQZ7QhI/P/fBPQ5wSg5iKdw5vDZmUTPLgoX1Uv+0/RSwehxDi4jUSxGN0knB2tuB+MY/X4IG27Wja4JM9ul/xZF+TFTl//avPeVhuaLuQ0GdZxmQyYTweI0RvmaGiybyg7Qwm2swcixmHc4Gh0RkzdBVFvLe874vFb15P/sMDEQ/QwFDpu+Li5KCdoGWy77Z6ecI89QgfORYRjOqv/aCVEZ7Wzyy6PtYeLwXEyQNaa6QQVFXFw8OS9XKJMY4sK/DCRvqnxXQtdV0xnc95dHVFWRakSXIEHnx/ncW11PdiP5bd/sC79zeRbm8iq8MP8TjYOOkgVJQXYb67Vxc/YX4cD6WPFk/RrmO9wjnHeDxDJwm7fY13Nsyfj0ZRaCcIxoQ8vUYoxdnlFfP5nMl0TpIXeKFikdZhnYv2RDWmbah2Ow77PW3TDNdj1xqsDPlFUZSU4wl5EWizMt4fQso4Pha8HJu2paorqmin4SHY0xkTrDi0HsDZcK56mngEHKOYXQAT+rlPh7dEpWiF1ikqzY9fOg0Mkm/ZvrVY1NIjVILUGYmUKG/AeaTQOKAd1Ks8IoGEHO+D6EmLpvMJuSoZTcYYD7Zp8VpiRVBKVVIPvOgsVSTO4rcPPBw2OOEi/ceDDyqmgWqSoGVCkueoNJiDdo2nXe+ZXJYUTx5jvOX+9j1KSoqyZL/dh6HUMqfIH7E/7OiqhtvX11R18Ex5/dVbbNOQKUWXplzf3fJ//x//R3zbMi5L/iQvuV8u2ey2yCTQH9Ms4/zygkdXj9jcL6kPdTAMTtLghyU8aEU/EmCtDfsjgnKe7Tpc1waERPgwvKpVuOCtAWeDn5SNNxkOIdSAxQuhY4JmEd6HhTpI+QVahhB4FZUMXZy50UHqXGodZMyD4cbQVOm7ioLweY1tMVKh8HgrcVrHIO3JRgEpV3WDU5JkVFJtt9jdls56ZDkhTTMeX55j3jRYLxinDqs70nHJ5dPHzEYlmVRQd4DDth3WtuG6cJ6ua6nbGpt4mrsDn//8FX/+i79h1VaBcuIDgm084RozliefPeUP/vFPyIyPgbQN0iKmC53w2GmwbUdVHbDSY1r4xRdfU10EtdC9MYxmoygKIciyIBtdt5Y8USChw3D2/JynxXNSqch0Fp6XhkLbGY9E4l1QaLNdhzdQ71vubx4oS0/SpSAD0qPyhKtHF5yN5yQyIUtyfG2gDb5hSupAY8XgCH53stDM8oKbr/d8/fkN22bFbF5wPkop5yXTcoQ4tBFkcbg0gbZjtVriCjibTrnfNIyEZLeuOCSKrJiwmM/IdE6ajchUjrUCLcJMAO6bC95v/ybjfF2/fSAFIEJXzoogsOBFAK2EP0rMh4JQRSGpY6erv6d69LMvQ+FkYRsyntMfIy3ThpU9NPg8ZZIxzZMgKOMMKIFWg1HcySufJHUniq3E6NF1hqbpqNuWum1jYh0ILHXTcHN7T9N2YcYCET0F+xgREijhXARUXKAODguYp+c6CXGkiAUJ+rhvw7EWMbYdi8ceeR/OhBgOycneuf7sxFKS2J2A04MuvBxe4yikEf+iLxa/kSgFsYwjFTUkWVGFLhbpTV3TxiLbu6A2rZUOM3nGYa2jGKWMxuPQnUizYH+ik7CODbYCPiqcHmc7m7rmsNtxd3fP9fVNpG8egXMXP75UgrOzGYv5lET3cyc6JoIhIRNSopC0bcN2s2a1WrJ8WFJXB7I0Jc9TQIQugVjhnCXPRxRFMZwzIWAyn3N2ccVkGuaEEMHbzduw70rpACrA4ElZHQ7sdjt2u5Coa63ABbG2UVkwm00ZjUaheI72NP3ZFfEchEIxFC7WGLquxVjLoWq4vrmn6yyjUcnZ2RnnZ3OyLAmFqo3z9gi66ANsTKSl+nhujQlCekqTpynlaExelgFhj90z6+y3hY3f0k0M8aLfPojoH4BO4bfDfRWf3HdzB7BFCIQ88a5UCiVPZHS/+R7fqBx9/x7xfSWeUZZSJAq8jT6MDFZsYRqZiJ308SVcr6brMF2wAMrzIqzbqw2bzZa6abHOcb/ccr/cIqUM91jb4n30EVVBkb/r4rrtHEVeBC+9LENU1fD8Y7EaCrteJMm5oGDfj1n3MhEfHIUhnvX/6Kn1Q0QbjlGP/w0A2fHQDZ1W7+VRGRWFjGyNvkN8FLiJn8QHH1LXK8rGJsEwAyyI1kcuduFaVssVnbGMxxPycoRbb4HjPZokCdPpjLIMtFUXZ4wHEaQQTIdAa0zHbrfj7bv3vHl3w+5QByGvQbQoxDCJ5+xswSeffEyeB0GZUzXkUFD2hZKhbmqqw57Dbk9T10gpmEWgSyrFarVFCEGiE8qyCIxFT7T4ERTjMfMsYzyekOY5Wqch5nnwMSb4PiY1NU11YL/fs9vtORxqpPAkSpFozWhUMprOGI0nZHmBTlJ6j8N+rr8vVLuuDd64bUfTNmx3O6qqwXlBkmYURcFoFK7FNE3Ca8X5auckSlugwvY02HjbujgeoKVE64wkzVFJhkqyUDjqBPHtteK3F4vj8RjvFW3d0do93rVhsW00ic5QMnRVTJ4CkFpLNl6E9nzb0XhBimSUjRBSI8ca64MQS6AmdVGUBHx1oHaOqquxQKo0aaLx3tF2oUiyzuFth6YjFw6aUP3rRPHrNzdMXYGod8HfaTRmvdnQrFckWjOfTmmNxbQdmdQcDju8kiRFQQ5MrwwT41m/fUc5GfEoUUzqhv1my2634Wx2iap2NKuOUZ5huo6izDBVxZ/+hz9hvd2Bt/zwp/8I50LyKVygSBrnwRKMm71DxIXcmJbUNNBqJBKnoqcbkWrUJ1zxhOPEgAKFoGHDQisZCrgBZRdHxKFH5IUQwZBWadIkQSgBLlAqfJDLiUPH4K1FSkGmU7zriLcHrYHaw8V4wn69JUs8Z9OEYpQhq4adW6Fdx83tPePLc15+8pxPZjP+6hdfYxAkUnBxcc7FxRmlyiilRgkAg5IWbyyd9/gueuF0HV5J5ufnLD9f8Wc//xV//e4ratOG6wwQWqOsRVpFOR3z8kef8Pj8giwrwB4TUWs7bGuCxH1t2d6t8EWClIpD2/D4p0+5eHTO/vrAwe+Y6RyFJtGKcpzx5Mk5qZB0QjCaT0hGJaNpQUq4HgQW5SXCgXCh69CjdFJKWmto9jWb1YZX729JJh7poSgELy6ecnV2zsV4jGhBKI+XHtc5rGnopMV7GX62hq61WBSZ1JidYLO33Bx2vLu9gfeGSZ5zcTXjk88+Yaw0WSLIM400gQqrrgoWNuX139whzkvqpmW0GKPvFPu2xRpPVpRoXeBdgrUO0QXjZNd+u8Tyb+MmZKRsxHy1X3K998EaQclI6Q4UFBlNbEMzLgydxxvxWNn4b6CpJ4/3i37vUXbawfB84zUAnCOVcDktmOYa2xyoXIeRgjRJSJJkoNcNNNAe9Y7y3c6G2WcT1eA6azDWRFDI4L2niUptVd0MRQcCEpEcQS/vsJ3DWInSoL2PItB+KAgDqhm7rnERH9Ta4Lhfw7+/mUTF4yLCIh6UUHtxoBPFvpj49t3HeNaGx0/pqUL2pK4+Zfqwq9v/P7AVjoCbUCp4KQYQG2eD0t90MiIv0qEIzLKMugl0y64zZHnObDYnywtklNMPFMC4DwNdygfbnDbM12zWS5YPK16/fsPd/XKgXglhB5ERj6DMM16+eM5sOkaoaFHiLL6NcUeEz7rf7Vje39PUVSgGs4wiz0gSjdYK01nquuOdusVZF+cei4HuVZYTxtMJOlK/ekBgoK7F4iKoAQeQsa4qdpst2+2eQ1XH7mNYj8osZToZhyRNR5XWD0CViIiLAJg4FwqArutwHpRO0WlO1Rhev35L13bMZzNefPSUy8tzijxDp0kAPL2nbYNlhzE2gtMuKIU78FqQFymjySTMY0fKZGCei5M50e/OdtpYBGJxdlQQRoRrU8o+EMpjDgJDgShjvJMnie+x0Dh2Pvp7/8PYygBSn26CUMQkwjMrkyCy11kMgfmgRQRE4uvG8DKwPkwXKMp109C0HVInjCYTykPNdn+IqqYOL4LFjfeO1gRBG2sD1dk7R9vU7HYdVVXhvKcuGvKypCxH0QO1OtZzMSl3zkfwxyGdj6JkDHG+j//f+LPjSeAU+DqiVx4XQa8w//Z30aOPTJW+MIylqhcDewHfx8TwedwQl8NnDewAgdZBuNB4R9MaHh7WJBqqQ0WaZUznM7ROWW92Yb+VZDKbM5svQryTxziBOMKkQoQOsvMO0xq2mw1vXr/l1au3LNdbWhPPT/98GYrWNM343Z/8mJefvEBrfbIPfihGnQvdt/oQCjdruiDImCQBTLq4ZHFxjreeUfkOKSVJmlKW5SBOpHWCGickWpOmWbTtOdpd+SPOGBorzgQ16f2e3W7Lbrtjvz8ghSfVGr1IGE/nTGZzsjwoLAtx1EXwcW7Tmpa2PnDYbaj2e0zXoWQALap6y83tkv2hIUkSxuMRi8WUq6tLzs/PKMejmHv44YM511vKyVh0O4SSJGlOkhfoNEclafRZlX/nNXW6ffvMopDBAkN6jFO4pAhUHJFgZRouSOnJE40WCuGCqIpUmsN+G3z5PIjOoajRuDg6osLiH42aZaKxXuJxaOnJjEL6MOivhKAoSyRB4ME4hxQeK2JrGsHLp3N+98fPmYuK9fslX3/xa0ZZwaOPniGLgurQsFqvcV3HpBxTm47ddo9ME4TTyKomyxLOzxZUTcOvPv+c+XTG+GLCvihIkoSLyyvwgru7B5q2wVvHpMwYZYpdkbE57Knrjv1hS565YJYdb+B+sR/Sm0GaKsxTOGOCX57SQSUQcZSJjwmWFAKp0+Ch19N1Ij1MeLDuSAlz3iE9KCGRPs4bqsBRzrIULUB5H9CnROKdoG0DnSqIB4QgkuuQevZdT6SitYI2zZg9umJ980A51mF+r27Z3dwi53NS4fFa4ouUi/EI3Xq2VYdNJJ/+o+/zwx//kEJqtAflHVp4OtvgupbWBWsObx3doWF5u2S1PjCZjdg3Nck8R6QCYf3Qyehpf3me8dM/+gn/+r//3/FodoUyAlu3iCQkNsZ5TFUHitfywKvPX+POMx5dXiBKxfeePSfpEpywyMxQ5iMWZwvebx/IixxnoBOOYpSTpzleGgqVITuB8EHkxLYNxoEWobvYmTD87K2n3VnurzfcXN+jRwonOzo6Hl3lPLqYM/EJ+lBjTYcvCqxReBdQMiIVuG07vBB0lWN5faAyDa305M/G/NH3/oDXX17yi19+zp/92S+Y3o7568+v+eyTjzifZlyclSgtGF9dMDIZq9s175Y3XH70kovFGXoH73YHTCFpuhaLJZECZyXGRNqld1jz3Uugekny8MMxcZX0BtI99TL4kykZkq5BeIHwB65PpL0fCoHBX6sv3pz9IFHwhOu3T5x6etXwHA/COaZpyouLOeNE4OqapgkeTEpIsjyjyLLgFybk8Dk+KMTiTvXKfBCoqUrJEH8H6llsKpz8bZJosixFyiAAY0yc8/KBXhVmooPqcnirvljrC+MohtEvkh90cU+3v/va6v+kB74+eP6H307O6zde+uTn00KxL8B8PIdBTCFs/Zxbnwh3neH+fkmiEx4/CQqgOklI04Qu0lI9nvOLC+ZnF6RZMRREA83P+zgzZzGmpWlqdtstD/d3LJcPLJdrrq9vOVR1KCrj/nvCuuy95Wwx49OXLyjizKInzAHZ2KVsmobVasVqtcI7x3Q6oSwmJFrHzxGux66zCNlFbzjJdDqlKMpAP1MKlSRkeTGohZ4e1KH4j+i1s0HgYrNZB9Xdqg6idJ0l0Yo8SxiPCkZlMXRZh5MRTkIwGec4U9V1HW3b0lmHSlKSPOUiKalbx25f8/bNW968u2az27O4vmU6HjObTpjNxqRZGmdAiZ3W/nr0Md+QlOMxeTGK7Itj379PQL9rWx/PhuI8rp+D+FakyxO7SwEUE1GwJjxLqaPP5SBeM8TBqPzpotVL/z4x0+6LoWNhFD9X//m8pUjg0WJEkQi8bWm70MXXSgUQM0lO7ofYmY/xa4AcpKIoSx4/ecJkNmM8mfDV16/ZbDZIFVSEvfccDhVV3YAPFL08z8iylLaLjAvrqEXNdruljMImMqoDD3Gy30/vf+Nnhn3n5FgM//sNsPDkWRCLviOVM+hTDJV2rAdPlq4Pvvfv7T98yQ+8ZF18bXkSr6UUKC2xXlG3LbcPK0ZFgkdQjMbk5Yi2NTSdwTrHZDbnxcefMJnNUUoNQONRbCVarjiPMx277Za7mzuub265vr5jvdvTmthNHDCKoFss8Dx5cskf/uN/wOXFWRDejOIyOBfmDE1HdajY7rbUVQVAkefkRcF0Psd7z3Q2oyiKMDKgwjpZFAWT6QSdpkipkUoEmmY/s3xyTR/BRTEU4tZY6jpQ7derDcvVhvpQkWcJyUXGdLZgPJuT5kUsFOO59qFgFt5juobmEHxm18sHmromSRLSPOfs7AylU5rOs96+Zbnc8P79DWmiWSzmPHn6mGfPnnJ5dUGa6ZBrHhfw4zUgBCpJSYsRSVGi+v3tFXyJ4Mu3bN9eLKo0KO55R4EMcy9CkEiFcwYLWBGodk54wCJ9CDxlMSYtQodMeAJS01aAIJEEf8FUkyU5zhuE7ej2e4ypMUIMkrQegTcOmaZoqUl9QCykdDgpyEcp/90//IwXpWYkHKOrOX+zW/Hv/tNfMPnlL/iHP/spj548QSUFaMVqvWWz2XD9EIed9y3tfs9q+UBxNud733vJxeUFf/Kf/hNfff01TVOD82RKUVUNQni61vDk2RN+55MnNLuGu1gYeueDUqsJwjI6y0iLHKnV4NUlI33DRQlvbx3ed/g+8xQK4R34MBflnMETgq7Axpta9n3AkNAKjUDFOalgui2RCB9nbJRAJppcJ+HYW0fbdhgbugetCXQzYyzG+tBxFIHjrKkRmSZTOgQ1CVXVUagJtgq+lW1tWW1rkKHzud/WTK4mPB4ljLXisDPsW8flZ8/4w3/+T3g8v0J2HqV98NuyHtMF7x6Dxdct7aHDec9XX7/j682S/V9teLI4RyHIZMLWV8PNIKLAj/eerEi5WpyhvaSpKppqR1Eq6Dzt3vJwe09dtyyXG8wcLp7l1LZlfjYnJ6NtDEJ7yjwhzxPOpmOUEyFRRlHMJozzMdLEwqAN3pPSt2FmwlvwAkOg7jkbqAq2dazv9rx5fcuvP/+CZiT46MUVxSzho+fPKEVGYhzO7RFa4MkCzcEbrO8Q1gMKIRS79YHlcs9NtUFPLJePz1jMJiwmT8hUwdNPP+Of/8v/hp//6V/w//if/l+8vr1He8+zZxf87Gff47PpGcv9jvFFyaKaMx2PYN2x3Fa0umVyNmZcjFBCBcTZ2WgMe6QzfNe2Y1fj9LG+4Ik+ZFINKHqY14tFHn5YkP0HrxP/Hh/hfBmFCnpj0A9R9mEbVvbjQpUIz5PzCU/PpxTaYbTEGY3rWqo6qARXWcZ4VJDlWVjsCLQqrTROB8EFoY7m20rrQD+xQV05IOtmQD6lCgJXaZoxHodOUNu2tIeazgbVNe3BI3FCIiTxNU4So4iq96CXc/38Ug/R8o1F7cNz4E+eF7HkD9ZBB2E0QsrfSMgC1HUUxji+3ulJ95E+JvAyvr4D7+QHXaUwtxjivDGW1XKNd56yLLh6fEWSZcPCa50jyzI+evExs/kClSRDAWJ7ZU8fvtfVgf02JDiH/Z7DYY/pLMYEcZguJlA2gg6nKrqX5wuePXtMoiWd6SBSj7qu43A4sHpYst1tKfKCy0dXzGYzksjWCebUHZ0JcztaB0AtSRJmsxlFkaOURicamSRH64mhxXTsToRjFma2qv2e5cMD280mzOy7IEjTGYtOEiaTMaMyD/OFfVconrDQ5QgJprUW0wbUvq7rMAdG8FZM0oy0SPk0HzGZzXnz+g3v3r1ntVpzc7Pkzdtb8izl+bPHvPjoCXkW5kWVDgI8p+h+nuehWxRFn8LtFvbHmG6wfPlObX0xePpQTyWNYLaMnovB3y3Q8GUv0sVJgTgUMTH2uZNZU3+crR1m1k4FuYa2Yi/xH35SznI1yXn5eM40E0graDpPtduy3+8RSrNYnIUkX6cDZRwfAJ1Ep2SZJ8/DjGKaZszmcyaTGdYLvvrqa5zzlOUIIQSbzY667VBAWZYszs7IsyxYvogKJwLQVe0P7A8H8qI4KY77eHTiCejDKuB8UI/2x137YJH5u+CyDx8TQ6EdWBYRcHPxWJ74Ip60OkOXeCgqY9c/Uuo9IT+17iSuiL7jeHylvkPcdpaH9Rbvx8xmI4rRGKUTTNXQNC06Sfnk5ac8//gFWZ7Fv3fH4sM7bNdi2o79bsfq4YHb2zs2mx0IyWg0oiz3QSejj/exoPJ4EiV48ewpH3/0jCQKhjnfW8F56qZmu9mw3Wxpu5Y0SRhPJoxG5bAP4EnzHCkVznV0pgUJ4/GIyXQalKNVYFpIeZz/HNZz70/O4ZHK3nUdXduy2+64u3tgudzibaDGn19cMj9bhPdVkn5Ws4+ZxEZRU1fsNmvWDw/st1sEYU40SRLG0xmXjx/z7JNP+P7dkvdvr7l+f83d7S3v3l/z+u01v/qbL/nB9z7l+9/7mKLQA5hz6hutpKQYz8jGE3SSR8GmE3DH/m2AxYfbtxaL1WYTVHsAT0tnobWOVXOgamrGZUZajpFphhIJIpFYL0i0RHvIhMBYixOQ5wUHoVFpQirg0LWAQ0tF00FVHYJ3YzJCKI3D4HDkSYIWUVTdhfmJMEeZorznn37/CS9nBaLa44WhPey5enrJv/7Bp7z++i3/t//n/8zHZ4/4yY++z9XTR8zHE8bZBWcXc+5v77h/WLHtKlye0lQH/uTf/QmqLHn54mO8g7uHe65vbri9v0fraOeRZzjjKYsJ1a7F2JicSIk1ls5VKK3QMifRKWmqcZ2lalqkb4KYRL8weYvSCq8U1rsgMtOFeUVvO/DBlESIALlYPD5Jw5yMt0gLTnh0KrBB6SWqxqugmCTl4D9ju25QkuuMHdS5TkfXUTFIqATftVgJrbPYuiVJE6aTHGk7vr5+h88zmvUWLxRaBpXV9rDn9e2aq/OSn83HUDc0tWVfVzz58Qsen13hDo40UygC+tTWdbjpqjCfeFjueff1Nbu6wi4Sfvqzn7B6e4/pHPtVjY3zCL1KZWcMUkkSLXj85ILz2QTRBTrJeDTGmRpvHN2+4uH2nm3aMvp0wicvnvBkfoVrJK7x2MpwWB1wwqEMZEKTobG1YXl7jxOOUZqjjQjzLimhgPdNoLg5AtfcOIjzpbYF01iW79fc3j7QYdj5hmrT8vmvd/zgH35Gkeb4tsMSrgUhFL51oBzWgDEABl8bql3NZrXj4Hc8+9GYxaRgNjqnWnoODwcurh4hUk2mE67On/C//z/9H9mvDvxf/8//F/4///7/DbOc+cWIZ1czyh2cL+a45YaqzBidZbRrQzLKUCpY5ggvEd7ipYtS0d9U7/yubCdI+/GhY1LlQifCeJDO4USkoNLXKGGRc7EwgmORRP/rAcYXDKqBp+t8v7b3yHh8ce8tk1zzyZMLFuOc1BzQaUqSJPgio6lq6roOglT7PcZ0ZFmCVqEwqKtgA7M/VBzqmro1wR7CC6z31HUbBSBa8D74N/lYaGrNaDQa7DTqOtAs+86iEA7hfPgiJocwUPn6ne8TRyFcRGX7BfM3O4T+5N+I4cH4Y9+GOMnAxDFZC4C7OIrl+GNyepwHCqyEvkoRPtCKcXHGUhw7xN67CBT080SB6mmNZbvZ8vDwwOJsTjkeBYpmTL7OLi559tELdFb06SS9v2TT1HRNzXa7YbNa0dQ1WifoJGE6m5PnJc7FGchB3e60CA/7OZ2MGJU5XdfQtYZuoOEF5W1jWxaLGefn50znc5IkDfG2qY8dhdjx7kxHVVfoNGE2n5IV+UBtdc4ODKe+IAgdHAaTcuGhOuy5u71ls1kHWn4Unmi6DmMtRZ4znUwCHUv0M8IO6yLw6QJI2nYNTbTasM7ivUAnWbi/4jWeZJ7xZMb55RU//PHvcNhXXL9/zy//+lf85V/+grv7O7Ii4/HTR4zSLNJLj+bzPVhSjMckWRp/F64HF1XJjWlDUvkd22Rf7J+MrCBOikXRz62FBsHRaua0o+yHYuBDmx4bVSyPdhEDYBTe7eST9Pe5P/7kPZnyfHI55fE0JRMGoQSqLADHodpzc33N+/fXzGdzFudnjMoRUgU1SUmwfPPWUlUH7u/u2Vc1EERCDpFZFKjJLd576qYJxZFUUcE01mJRzVX6EK8CvboefCr7D31Kt/xmZ/EUcBrWiQ8WGf/hvz3DeemP7QB2uRguRb9QiGGmuo954QiHeHOqUusjRbx/ZQdDDOiviUEl+GT9UTLcl/t9hVaS+XxKmgXxu95c/vziks9+8APKcjR8Xu+DUmgvGHN/e8fD3R2r5ZKmacmLEZePnjCeTrDO8bALGhT92IPg6JeYJilPHj9iMpkMRa9zIWbtdnu2my1NU6O1Zj6fMx6Po6KxxtourFU+sFGM6ajrmrqqSZRiGuemdaSbHsWYTpk5J9d8/G5NR1sHJWxnHXXdst7s2e4OJFoxGk84Oz8L4159nHV26FS73ne+rTnsD+y2G9qmJcsLyvGItBdCUwl5OWJ6VnD5+Cnf/9GPg0r29Xv+9D/9KX/6p3/Om9dvEc4xnxY8f/Y4dIWTUDQSQe68nDCanZHm4+DJ6T1EOrbrh+D/nu3v8VlU1HUVFKZiMqOkxGvNJD9Di+BX57oOuoZUpxTFiMaaMMehNBqJOewxnQkCNs0GspJxmsWA3EBnsFKRT0oSqcG1YASma7BtjUsESpUQzehxwW+wEy2//8kF7HZ40+HHGWJxwSyTLMZTnk0WyLblxjb8x1dfMP/qC55OzhBdqO5e39zw9vYOJwTVesWX19e8elhyv62Qf/lXTMsROtFcnZ3TdEGdzkR1wM12yy++eMf5bEQv966ShMYatJc4L0MwdcGqIXCGBZhj0A3pjAsUVJ0jbLiggjy6DN1Gr+INbONCF7oBOIdzXZDY74J0e0hUjoadWZYh0tBxdF3HvukwzgVbDhEjho+tdhG46uDjXApoLfE2KI2Wkzz4TyWKREk2uw1dV2OdRypPrqMIR5JQTBak44xZkmIrQ9M6xKTk0ZMLEiRKCmwb/IjatqarD1SdYb/ccF9tuX+/4oEDj373KU+mU56dXdLKKdv7LQ+7r9GdQxJoE46jjLZOQltdCYlwntXNPavrB2QZBr+bpsY90nz80VMW5ZRCZ0zTOZ0xVDYk3LvdAVd6pLHcf3HL3/z1VzDVfPbT7/HZJ8/RjcNJg84liU6gM0OAF1JiXUvnW6RPsZVl+T6oCL5+dc1G7pmflUzKnHJcIrOW6eMxZZGgrMPZDiM0OIlxhrZaUx8aDs0BrST1oWG7aZALw5NHEy7nZyQ+w1eK9n7Dz//8r5n/6Dk/+ckP2a93TBdjFpMZmzZB+5TJ7DGuyJk/Pmey1/z6F19xf+754Q8/YdolPLy/J3005uz8MUKUxLCPkoJMR9qNcZEm9t3a/tZd8vFe7dd3F5Jb1/eJPvBwgKEsGYrFDx7FB3fhQXQlvHFcyIfn9Yu6CNc4gRL09GzGR5dzSuXBgkpCbEUnZElKURa0TUPT1DRVzWG3xRjDarXi9uaa7XZH3RicEGyrhs3uwKGu2VcNm01A7IP6sBu6ikIIlJLoJGG72+G9Zx8pW96DUARVbMC6sMO9fPzQCozHwfeFhvfH2ajhuP1tx/43fxSnv4ivKeJ5OsVFT7H2b/6tOyk8P/DgEMeQaH0UIPM2JCdxzDBaSIcuowpA6G63ozocmJ0vkErS2eBh9ezFR5xdPQo+qNGf15mW6rDj/v6Wh/t79tsdUkrG4zHT+YyiHCFVQls3VHUYRzBR0TN8xpOujhJkeYY1hv1uH0QRjB3m8rI8GwRk8jJQ53o/LmMNTRs6i2GmFVarNevNhiRNWZyfkaTBJ86LE7uOYXQiHomTLtJ2s+H9m7ds1xvSNCHJgv+h3Ww5NC1CCEbTCePZhCTL4trX02sD4m5ti+naQF89hHGIohxRRjXqrm3ZrNd8/eotrYVPP/s+T54+R+qU6dmEs8vHnF88QirNf/7P/zlYiWQZSZYEpT/Ro+mhu5jm+XBs6O0EYufXdIH62LbN33Z1/lZvslezFkcF4FMKKsR71g8GXhHkCVHqCO8cC5/TIqk3VD/t9PeF6IdpaXzPoYXjwRrOJgmfPp4ySTzCGYTUJCphkWaMRmNmi3PevbuOpvCr0BWWMjJ5gl/sZrvl3ftr3r2/Zbs70Ea6ZNe27Pe7MP9qQ9f7WDBJmqbh/v4+Cty0g0plr4pqbBBLOqXs9UekF9qRJ8eip/wOxUd/cIft9HWGp8ZjMgS4/iwc/+RkwfIxLrjhdeKd9be8j4ivbYVHRZFbEXMpgcNFWwshgmCiV6HgbduO/aGic0F7w1pHXTeoNOGjjz/m/PIyjDtFdkoXlVFXDw/cvHvPw8MDzlpG4zEfPf2IxcUVeVEi8KyWS3b7SAUWwTrHRPq3EMFX8eLigjRLA/utC8KEy+WSw+GAVIrFYsFsFoR1gmBWYNa4aG/lnEfG2f2H+wf2uz1pmnI2nwVKfBTnOoIg7gMg4Hhde0zXUe937LdrrDHoJAUh2VcN233FfDJmNpuTF0UUgjPgRBRe6gJjoe0wbU1TV1SHCmMs5WjE4vyCyXwGwOFwYLnc8v76ntliwaMnT8jzgjTPmc4mLBZzJpOSv/gvPyfVkq5t6do6MAn79VUqdJZTjKekRYkY5n3DWuaio4A/Wa//ru1bi8XOWlpvQSjSrCDPM2znEDia7ZKm3uOkQmoNriNLNFUzZZSloBWNaeiqLigGSYnvWqTSdK1Ftbtg1CwFmQyKfsqDrfd42kCrISqaGYlO6qCmZjOc96yaPf+Hf/p9FqJj/bAB5ehwzGYLppMS0VY0+xpZ1/zTn/6Q5kXNz//0L/g3/+F/YdW2OAub7Y6VkVy+/CE0sK0OYVYvVRzqmvf3O0wXkgOtFd4HDyzRGZRSvL29wzoTePneBf8sxGDka2xQNGobT9t19B47Aw0r8hO8Nbi2ximNVBKRJNguGK+LmIAhBN5bJAbnWpChA5WoBJlrVKIxIXKgBSSJRAuB6Qx4SXNoaa2JM6XyKLMbkSTpFcIF3x7bBQNpg0MYhxaCqmlIE40xnrpzoBMqZ0mmGe7g6KSiOzgO2y2/enXDZ3/0Eu8VCEndGopHC54/fYqwFiUVrrPUraHd7ViuV3QmqADWiSD/7Iw//uynXE3OcbsaW7VkIufd9Q0PDwd2IiQaA3JmHalKOHt8wfnZGYfNhlE6RUtY7+8gLciSnMkncz65WjArz8BIyqLA7GtsF4JIvW9Y3q/IRYZoBH/xH/+av75/Q/FiztMnV+ROgu+QWqEJN50UAicEprFRwFYhTYLpGm5eL3n77o7aVtgrxfliztN8zq//ty9Zr9b84B8856Orx+TkSEHw4pRhsWmbjs5btocN93cPeOXpfAeF49MXjzkbX5KrMb7TtPWe26/v+fM/+WvWf/ZnHP6Hih/95PtMRiXeQLPb88f/7Gf8/r94yXieki8dr15/DR/lfO9qxthoVjdr2plm8egxabqgazSBl+fwXmCMjMbzUdH3O7b1XUUx/BS3b6DeQ14TtCCPT/smrWsIvt+IwKKnFZ0+FLvkH7xO7GZZmOYJL5+ccT7O0NgghOUDvQTp8FIGFVYVgKRWafb7Havtmi++es2rr79itzvgkYgkpXWeOnqL7g9VsDaoq2gIHz6jiD5N1shIl6yGhKz3XgwWHKEK7BHhPvHqC5v+GH7QZf3gqJ9+P+0++A8fig8PC7oQQ3PxBPsNH98fX+V4foiF1slxPnmeB5wQoXgHvJeDOmxPG3J9LPZ9ByYkDoEiGd6t6zqyLOXZ84/IyzLMd1qDbQ7sN0vubq+5vbujbVrG4zFnZxchsShLpArMFSWDsmjXGqz10Q6gT9vDZ9FxzTTGYDriTDGkcdYly7Pw7zQd0HIpZBQhclRVYHNIKaiqjlev33H/sOTi8pKzswX9fGVA+E+M06NQU68aaJ3l4f6BV19+xXq1YlSWlGWJ0grnBZ1x1E3LbDpmMQ/01n75c97juuCd2LYtVXWgPuxpu44kSZlMp4wmU5KsiOdK4tjx17/8gl9/8TU/fHPHv/xX/5Inz54H0WAH8/NzfvijH3J/fwsx0ew1AgL7Otw3Os5hJmk2jIZ4H2Y9nTF0pqPrWqz97tFQhTiJTx/MGjIUNL0gV+hcudM7MhYzf/vmPyhkYmHOyfsReQUiQGHxzot/aEml46PLORfTHOENCBmUV8OHpigKnuQli8UZ6/WG9WrNer3m9n7Ju/cBFAsFnWW93bJabzhUNV3bxXkuR9u22GikHpgQ8QMLS9c2UQE4dtW9P+k4BRsME0W8jo/Hfe0PTF8sw0DXPVIyT6PcMW6F/4vBf7LH2z54St9R7Fv8eI5U4OOLH1/tb1mnfQAgET4oyEf2vjrxH+09AoUUSC/jXLUNtm/WBYEhZ/EIZrMwN6eUwtou5HHVgd1mzcP9PQ8PD9R1w3Qy5dGTx1xcXlFOpggZ1GYP+x3vb+548+49nbEncSfsp/CQZynjcYkQYI1hu93w8HBPVVVMpzMuLy+ZzKYkSTr8nYsK013Xsd/t8QTl+d1uxxdffMVyvaEsCs7OL0jSbCi0A8jRW1C4EyXmLipVV+z3Ow67Ld45RmU5CIKZyLgpR0HpWUoR4qV1tJ2hOeyp6pquaWmbhq5t6NoApJWTKZePHjE/v0CnCd5Z2rbjL37+C/78L/6axWLOP//nf8yPf+dHJGmKF4L52Rk//elPyZOEw27LqMwwbQM6+IJKpZA6JSvGpMUIpB6KQudMnOW2QYAz3qXftn1rsTiZTKNUcZyzEZCowBdOFwsEcyxwqBratqKxBldtWS93jIqSRKd4oSP1JVgHSB8EfYXWuCQlL0YR7TXs6yUyydAyC3MFCLAeKTVCJ1gcVoZgU+ici0lGtdngJKRJikNSVQ0JgjRV7DpLpyTb1Zaubpk/fsJP//UFh33Nm19+Tv351/zw44/ZiSlrvWbXGvr0Q6nA0XdRjEIqFU5+nHd3zgV0Y6sxNiQLaZoFbyEpoo+MpPVBZdHF1u9w/8cA7bzBeoMgCAYhQotOxuBifZgNQiqE9TgffBcFAT1ou5ZEBeVVRfCKszhk5PA7ZzD4oBoqFUJGmqt3kY7DkPgI4UMQcATqR9z/kDCGOZI8EczOx3x0dcZffvkWg0TJBCk7hGmoWktxMUZZw3p3YJqPqTuCqagMs4O1qXFdTXOo2K83PCxvqXwHZconP/o+F9MzchISq6it4bDbsrvb8v71NV+8eUWLDTYZ1tFZT9sZEOHnVEnyLGF1d0u93yBLiSsliydznlw8YppMEGiElvhaYDtom45m37K8WVJ3NSOX8vaXb/nF579mN/L84EfPOT+/JEsyIhwQ/PZsmF91XeCuW+/Yr/fst3s6BVt7oJ40LJ4tePLoEalRbF7taA3cbtc86Z6gCN6jnQdTd1jjsW3Ndn2g7RqqTc3abDj7eMKz6QWjYsIkG6PlCFuDay1tLfjVL17z889/TZvXpP8+5eMfPIfacvPmLdnFlKePHvPwak1OS901XPz4KdX9Drmz3O2vsbOE8fk5qZwgXBFpKyKq9nr2u4rO1WSZIkm+3bz1t3U7rs2/ucgOrMd+YfbuN543KLiJWMtFI/jTEtSffhdiSJy9l3FxV4gI+ARFNcWz8zEvruYUCkQUYYjTa3gfEWcXEgCtE0QRACtjHYuzNfv9gTQ/BDaGdZj9AeMcxgSLARtNfGMGFPYlxirnLV3nBgnzsCNHq4R+LsJFwOz0WB6PC4GKE5MoeRSD+43COb75yQn5xi8HxVofG4p9oiQGEP7Dxz88Q1Ic/z18SuHptXe8AC/6eeMjFbVPGgZvqyj20ReQQf0xxIW8KFmcXYTEsmvYb9ZsV3c83F1THfZkacqjR09YnJ1TlKMo9BLYHMYEmtJqtWGz3WKNjbnL8cp0zqHo/S4DqKCTBKU0iQ5dvSRJorF8iFf92IOznqqqWa02WGeRUvL+/T1ffPWK3aHme4szprPJsJ/O9h5nfecpfAiBpG0arm9uuH5/TV03nJ2fs5jNyPIwJtE0JiihGst4PGYyGSOIc60EVfSqqjhUh+jD6MnSlNkiiJEUZRhJCXQ7hxcdnfNs9jW3dyse/v1/xAnNv/xX/y1PnzzFWRMsF0biQEp7AAEAAElEQVQll5fnGNuhE30EGOIFIaVE6STOKakhmXcEmnBA/ttYLJrfuIp+27cjHVsc76/hWwh04bqOccCHgu6bt2If1fra5VR5uH+ffgbylOLad3d9FG4RItg8SGO5mmS8fDSlUA5rbDAtF72vaShkrLNopZjNw3Vy9fgRV5st88WC2/sH6rqlNZbiYU3r3lA1dzjfDcVqD4DQf+ZYJDsPUjgcFnr1UNF7y/Yzm8ed/2DGTwwP88EB/TtHNvw3vn/LdhKXjz+Hv+0BneG1hpfzw7k8Lmzhl/08o5M93d7FGrRfr04K2yH2xbnQOAPnhSfNMyZFoHw2TYU1LYfdlvVyyWb5QF3VpFnG45dPefL0OaPJJAAzMb5a03HY7/nq61fcPyzjrh3XicFfnDBbaW1QjDbGUJYl5+cXTKdTytHoeH2Emx3vgrXYarnk7ZvXpNGu4s3b93z15WvaruXi4pz52SKwLlwPAMSc3/biY12cm66oD2GuvK72oVAcj8mLHJDkRRkBNcFkOqUssiBwSMi166pmv91y2IdYZ22wIdRpymg64+ziguliQZpncV7astvuePXqLV9+/ZYvvn6L9YK8KPjoxXNkLM6TRHP16IJ2Wka2YRhdUomMoFhGmpcIlUaANKjN2ii+aLou2AzR5y9/9/atWV9d7XC2QStNWpYoIYPfijMoKUmUQklBLh15meO9oGsryDK2xiCMJVGaRKeIosQWQQjBCYmSmiLNSAk3vxGQqykq0SR4cClWQB4HllMt8F2gBDkcLx+f8XSU0mxXjC7O6HY7JkWJkpJdVaFqQTk744e/+49pbcfZkxHPtcZ0DdVmw1flGJHl/OBnv8PrV2v+83qPn1zQ3L3DdBbbGby16CwBB3meh4vW2IGWYIxlt98PflZJVpDmJXiHacL8jzVxPnEwMRHDzRtkf2NR5wmFtI2qgaaN6oGhgyh1hnV78DampGEuAAuyFgjnCPr1Hm89FoG3Hc6HxU70ZqLe461lkFeOydEwWBwVGwVxbkEpvIzzP3g0nlxJRl4wzSdc75d4Y9htW5yxkGgenU0px2PQGV3rqYzj+Q9fMs5LzKGlrfZU1Z7Vek3rarqx5/GLZ4zLkvloykSN8E2U+m8MtupY3i559fo1q/0apRW2Cxf9PiYjXsJytcF0HVooOgFMcl5874fMJjMyr8jIEF1QEgRPVbfYruGwObC53XNzc899vUanjr/54gveHzakZcH3v/+Sp/NHJCIIEjkIoiDWUe9rtssHrGuRQlFXHe/e3bPXFY8+uuT3n/6YQpdol9J1LXvbUBYJC1EymY1IhKTd1ThpaasDrW+wVrLrajbVFj2xPL4Y8/TpE0o/Rslg5+GtpqtamvWah5uKz1+95bpao73jv/ynP+dH3/8U++IHPNwueaZ/xGG150//9Jc8+b1zvv/8Edw37A4tRabILybkZY5IJgjCfSxFKBatkxjjOVQNtT3gpUbp/FuDym/j9s0eF5wu4x8u6MfZkA9f4XSu53QJP02hPgCGYSgyiICNEgIlFYkEiWUsU148mnM+zlHC0zPIjwt6UFTrE5rQEVAkScp0OuXjTz5mNpvTtC3Ow3q755dffMmuahDKoZPgsSSNwUt3go4Tkd2QPPTgQaCuyQieyYFFET6R76HZb+RIx4xFRIe04XiIY/JyejJ6vP+oENt/Pym+T3Oovtv4QcL04ZkLNaQ//Wkofvp6GwKl1jkG0Qzneu/E2GkUvb8msUMGoHAOjHEkaU5RFnhrOGw3XL97w+r+FoFnsbhgfnbOeDIjSbMT0+5+PbCsVmu+/PJrVqsNnbVRSt4PMTpeLiRpGlRYo4m81ilaaYRWQ4IdrDpC+6AzNsy73D7w7t01Ukqs83z51VveXt8jpObJ82eMxuPhmLpoNi6jgJEgFG67XZgde3i4p8hzHj/+mPF4HEYXXKDq1c2e3bbCmjA7nmpF2zRAOJ6r1YqHhyXGWsaTMWfnZ8wXgb6VJEFwwg5iqx1dZzgcmjCbLzQPqx3/9t/+O9abPf/kj/4xHz1/Qp4mbLc7tNYURRpn0PreWABwZLx+h44VfbHgTgrFAG7bEwDkO7P54/14/Pk375XeYiPUSPI3ft/Pf/T3aa+g2v8qFIrBU1TFeCH/f9z9x7NtSZbeif3cfesjr34ydEakqMwSWV0ACtVoNIA2spuktVlz0APOyAH/P056QJqRA7JJAGwIorOqslKEfPKqI7dyxYH73ufcF1GBNsMoY5vdd99V+5ytlq/1rW993yC8gcD6yEjwDoVjkls+vCx5tChIiCCMC2CWii86WgG5Q/GvVMJsOuPJE8l0vkAbS28c0+t7tq1hvWugN7G+skHkywYrmmPMKJwDz4gcieDLKsQw0zcAUgewfviZO9rJGO8HAC3+nRz2P3yMmNgRODbu46iQBwb6ewDDDh3Id/99iL7F13FHqvHj3oJt1zA2IMTheEZvU+9DkRbjj1QJaV6AVMFTMcupqhLvPV1TU9c71nd37HY7BIKLq0dcXl2xODkNasoxxvlYrBitubu759WrN6P/5SC6M3Z8vWO7b7i+vqXvDYlKmC2WZIkiL4J9H94dqPoMDAFP37ZBCOblK8qywljP19+85H69IUkSpvMFk+kUG8G30Q84Akam72ibhqauadsGo0NnOk1zsixlOp2S50XI3VWKtSBkEuOgwpoea6Pg2HbHbrujbVustSRpxmQeBLoWpydMZ/MAwsdnoq7DMTdthxOS3b7jP/z1b8nLip//bM3JyQyrNbvdBtO1FHkadEMgjpUFunAS/RQZrExs6KaPnqTW0hsb6ajfD1x8b7G477vQXcLjuzCTKLMUKfJQgQsRURgfJW4lngJUhswK0jQHZ8mil1JlHSo5mLV6E2TGk1SFYGMdSZQFHyzLEiCxGuFlQNGtRQrL1SxF6RafBJuF6aQKXVCCVQWJot836P2OMs+x2xorBNu7W3S9Y2Lhl5/8iEeXl3RvW27WW9TFMwqRYO/fknoHvWaCxeoeJRXaOtIsxZqBTx3MjPFhzi/LSoRQOBNEEZxzCKNxBPriIQETYzI0tLtxNojSAOBikacRBHsMp3sEDi/D33pBVAAM6JzWBow7oghGX54Y6A9MNx8TvtgRsEFUwPtwnYd4L3yQyM+kRCrCoCyeLA0D6Jv1ivVmy/39BiHNOFsjleDi/ISzxRmZVezWDTujmUhF4hV9v+X25i29ddgy4fTiitPTObO8RBqJ1xJrerqmBhxt06Bdz77v2NR7eu8wUcwCxHiTOwdGG1b3G27XW04vFpxPCookJ5MppmnQdGhC299aR9f2CO/o6p4vfvM1f/v7L8ieFuxqeLu5pe57kmJKVRRIFzzRrDM4L8izgm63o25qhBKs3655c3sPE0l2WXIxn3N6OmWeTUiocAa6tuXm62tevb6DC8m8qvCdpdF7hO3p64a6byBTqGnCxfmC+awiLyYsJuf4WpHlOd7YoJjYa5p9w2a34uKDKcv7Kdf3d3Rbx//wf/m/8ZvLX7HZN0z/1b9kkU9ZNzs+Ov+YftVxu2uwi5zzaYVtLF1iKeYFnoDk4wJ6aK3HC0+SClwXKDxV+cPrLA5FyHEpMfxnSIKOC0ApDh6mQ9J0aJc9HIp/iN4PGs+HFwmx3R86jc5irEN5TTFNOZuVwcbG2VAcDjFksOLwh2faCxFFEMIM73y+IC+rmLgp7lYb3t6veX2zIlMZSV5FxoHC6A5ng2VRGHr3I7Y1Jj9iUIOVY6dxoGkenbIHuegROvbgXA9Fc/CVPZz9Y5rb92OdBwGboVB8Jw1+J+E63ulAsYTjvGy0zxgWVGcDZc2a0UeQwUIgzjIOqLfzYSZKqgQlBX3Xslnds9tukUpxcX7BydkZRTkJbJljtokPKHbTNHzzzQu++vob9k03qhX6Ib/0IdFTMmE6qajKMlA7ZfAIk1G5910anHUeYwzbXc3rV2+4ubkjz3O63rBeb+m6nidPHvHee+8FmpOzcc0IlbN1Bqc9uu9ZrVa8fXNN37cslnOuroL4xIDQW2uwXtAZw83dPc4LJpMJUkpMTBLXqy3X1zcYazk9O+fR40csT5YjbXQAWIUc/PM0+92W/X7LdFYxm03Zd4b71Zr/1//4L/n66xd8/NH7PLo4RWFRyjGZhDnSUWafQbxFBel8eXiew6xioCYaHSiL1joezLX+QDbvhvXzHRhM8KADSOwIKoba6VAcDtTLwzP1sFga/g3qs8Fy6NjuJpzvUIgIHIlwzCrF1bJiXiSoaHHifPB1JfoLjrTA+HwOFh19r+m6FtNrRFS1REhEkpOXM3od1OWlgKTv8PsNunWxo3QUI46KrWHua4jxQh5HoxDH5ZhLHf/kMN7zrXbst6/GYc35FqMiXqO4+yHteXcme8z5jl9rOA5xOJ7jjmSInRzZJcV1ZDi/1o0FxUDFzYs8AElCorUdx6Ocs3Stpt7XWOtYLpYsT044OTmlrCoQYfZ6VMV1DtP3dG3Dze0dt3f3dJFyH65tfD8IjHXs9jVvrm8wxjKZT6PSZ9RP8Ufvn0PX2FpL33Vs1hs2mx3GBr/I9WZL3bScnCy5uLigLEsE4feNjv7DXRCu6Zqarm3Q2iClJC8KyqIgy7Iwy5+kQZzSOLq+p+17pJIURQDvjDE4G9gTTRP0PZI0o5rmzBcLZosl1XRKVpSkaRI6kX1P27Tc396xWW+YTCZMqop9o7ldbfkf/9W/5Ysvv+by/IQyT0kULGYTri7PWcyDgr2ITR6V5yR5iUhSiBRqFwHJ4ZwNNiXWOYz9fpug7836lvNpEPHAQxwOTQnIslBJqGBlilcp3nmUlyQiRShwUgSFPA+JDw9CAjhjEd7ijEM6Q25t4Et3bUAHEol2NvKlg8Fm07SU04okS1FJwmSSs0iD8IasJpQDx7dtKPKg4tZ3NYmUyDTl7c0t0zR4o1nX89XtDV9//hXrruG/ebzEakstUloS7OIKWU05XyxIVcLtX/8b2NyhlMJYR5qEYvE4GTHGkMUEwGqNt1F+HonzgjB7GdCw4wwxPrJ4p8Gn4GRErWJglmEmSDoRaWIBnxq9ywb1Pjw4DUGoeUT1iD+TWPzgiQSjTxARvRv43USJbEQCIvgSKiRZpL1a51jte564hPXNim1XszcdZRX8sxyQVUUwezYpu13Ddr9ht95T3K3YX+wQDvpEYKqU9z58xklRkckErwNfvW1brNAY02O7Hq8taZpR+pTXn7+m6XuMD1zrXgd7DUQsjZ2j84bqfMqjyyf4OnT7lHO0vYmeki4YQVuL7lvwYT7wfrflxeo1773/HGcEjXMk04w/+Yuf8/zRY5Tz4C226zEO2o1hfbOm0WsSJVh3NcnjjMX5hIvzU04mp6H4tUEp0jYaZyyr7Y6trpEW6qahdz2pB90En50u95ydnXEyn5PHWcuimFHKglZYsAqnPVYburpDo7GJ4cc/f86zzy75n/71r/hX/+Zv+P0XL/n8m9f8r/+7f8iP37/Et/BeOqfcG2pjqU5KqiRDrzrMNCWbzUGGmSnvLG2nEdJQFUGMoqoUnU7RXU/b/vBEH4YF9WjSbkyIhs+DfLwQccbjyEv1WNzGe/cgyfduSN5jsTF8f1zcBwW5uDhbA0aTSYucLSjyNHQVhw7AUTE1VhFxP0N3SuuOvuvp2mCIHrwA8/G9IRPyLCPPC6azOZtqxX63pmv26K4LgmHjrg9FmBBBIGNI/ga60HeWdUct1EPByTtovojHPxyOf/D9IXkbfx7beYfkf9idxz9w+H4noTq6xg/f4+E8ehiFeJwLYhZGG0z0SiUqgA4UfhWLZedMmD8xPV3TUE6mUa0v0OPniyVlkXNyckpeDIIqobsaZv/8OKqxWq356uuvubu7R+t3ZqrGitaRJpKLsxMm0wlFHsRohmtyoNlFKmn8W91r7u9XrFYb+t6gVIrWBq0NeZbwo08+5urqEogWT8IDIRnr2pb9ds/d3R33d/d4PI8eX/Ho8SOqmBBGlBHnwtV+e7Pi7n5LNanI8yxaSxn2u5p93TCbTlmeBbPsoipDkcuwBhFBCxd8cfd77u9v6eodp8sZz55dgRDc3ELdtLx68Q3tfsP91RlXl6c8fnwRkjqpRlVXD0HxMjlQdAff00NHwURwwL1zB/1wNmsMRw/OiO4c+yWGZ1xEwThG66+hS/ZACOdo3webnAhseA/aYjgU4sZojDbj2p0oxTQTpJOKeZmSJyLmODH2+sEaI8Y3Fyy+rAl5gNaG7X7Pzc0dTafJywqHZL3b02lDmpfMliG5z/OMvm25e/uKjX2DtfX4fg+dOw7Aljii0R51oYcTN56zYTvUw+9shxLyOF4//I24i+E9HO/SE2zoHrzId/zxu984ir+HWDtIDRELw4NKJ97FIjx++HAOpJIUZUmSZnR9z24XumRZXkTlY0FZlJwsT1kslpRVGSybnB3Vs4d7wzmL1kHJ9M2ba9bbXaDf+8P58UfnwNhgGZckijQZQAc/dgKdjSy7ePG8DzTOruuC1ZPWqK4Pvu/REeDs/Iynz56SpMk4k9g1Nfv9jrZuQpNCB5XcrCiZTGcU1YR8mAFnWHMczjtW6w1t0zCZVCRK4byn63UUyrIkaU45CUrQQbRrQpoHf16pQt4+FLj7/Y79bosSng+eXSGFYPLNG97erqjbnq9fvkEbw08/+5iry1OmVc50WpEW+cgyUmlKkgc/RYY4B7HhEd7z2EkcnlX3/SyK7y0Wu7tXkBV4JGmW45H0ToKSKGeCB49wSBWMQ6XKqE2owr2NMy+mxbSBY56nRTArj7dsYx1N32FkuH2NbpmqIordeFzX0dc7TLtjXb8NwT9NuVh8wNUiJ5GCoizYbGsmqWS5XLCtd9iuI1cKY3pur2+oqoLeGN6+uaXf71HWsJgv8EnwHFlvW5ZnT9AqxwqBEQaBJ+u2PP/sj/n83/6/I3UR0iwfJZcHpMtag0ozEAqEg2hYK5MMoYJyKd4hpMJZPRaJY+I4tI0lmD4Umxx5fhELdI8kdAFBWPBikPAfZgLC0DE+JiPOo0SYxfD+gNYy+FwaFyhLTgRvx1jgggq0M4LhaaDrQKctu9ZQ72ty43CuYz5JKHJFniVYD6Z32NWON1++QiUJRves7zek2x1Nr7G659lnP6LIMqZpFnzabEAJsRYlBNoGtTGnDddvb9hc7/mbf/1rXtcbtLBBtcxbmv6gZIYQZFXGk/cvmZYV0kpQSQguXYtKg4+aEopUStq2ButJi5zb+2t2XpMuqjCMrAxJmXOW55zOZ9jWY2UIDqbrqXXPZrXnq69fYn2Hd57isuTZh1dczM/Js4JJNsM28f7uTRi874K/o0o8V8/PePTkEqESBB6tIDkvOH96wdXZFYkW4FMSmaCcwluFkBbdBtEk22m0aZG5ocpzfvV3GxZnJf/0H/0Jn/74Of/Pf/tr/of/67/k7HTCxycLyjRQgntnKJclai+5Xt8zee+CyXSJymdIlSMIyoBi8DpzoaufqJQyC/Tytv3hzfGMAgTHa3+cORwTiYN2OUNlIcbE4jAvMQA2IRc6Rp0HwaBh/zAUeJ6QEJleY40Gq0lTKLOUPFVE87+xUhyBJn+sShl36x1Wa7brNbe3t/RaM5vNKSZT1tstu/0eCLGsms4QYkaWV5STCZv7W7brOwYfQM9h1Q6JvBiTyCFxfJAAHR3bgw4fR+/5qPgbvhNP/cPfHtDxo/2Iw8XgQHsNfy04nJuHf3S0W3H47eNLMxScwy6DfYKg12YUxxiK+iGTGYrnrm3YrO5o2pq63jNdnuAROA9FOaEsJ1RlSZYXscs1iMaEkQMXZ3Hquub6+i1v37zF9D0hITokycM7lQLOThY8e/KIqshRSbSCkCqeNh8TqMMh971mu9myur+j77vxGgZ7X8fVxRk/+clnlGUR17ZA9+ualu1ux3azZb/bY43h/OKck7MzTk+XJFkAk509TL0IYN90fP7lN2y2e6pqEmb8uxacxgnB+eUlp2enVFWFTFS08bAjTS0caXhWTPSNbJoGKeHsdM50UvLk0Tmr1TZ2DixZnnG6mHJxcRol/tPR43iQ+1BKjYby4dEdaHF2BAXMkDwH/i0/tC1QLY+eVzHEuaGkEDjhxoLRxy6OE7FR8KCLdvABHHYXvvRRt2GYMwyjOV3XBi9qG1SlhQy5QyVTikRQJMPstjj6ICq9u1Gt1lkXxZ00Tdux3WxZb7YhV80L+tiR6rRFZRl5VVFVE7Iix3Q9QoDu6iBo48JYiveHgvBQNx8KxQFIPKicjgH3+ISMoeugiPoQxBo+fRvMOvqNASSL6wiCh25B31MvftcdO/z+8WzfQDMNKsouFuQ2sCmO2DFCyuBRKhX7/Z6mqYMFRtthjGO5POH88oLZbMZkMgse6RG0HCmlAwsmgjK661jdr3j9+m0QznGMHcXQaAkUYSkEWZpwujywDkLRGQW//LAOhuJHEOzL+l6PRayKVP/hGpZlxQcffsDZ+VlgkBhN37Xs9zvW9/f0bYvHk6YZk+mU6WxOXlZRZfVARXbO4o2jaTpevX5L22vm8zDH76xFu3As1WRGNakCvT4rSNIksHmG6+ZcZFyY2I0cao2U5SLMhD57+pj7zY6Xr9+y3mx5/OQRn372CYvFFOEsUvgoqBNYjirNg4dyVD4+CFbZEQg4BnVGYOd7tu8tFsVkzu39HdYZpA8qoLPZkjTPaABrfKCHCk8qIJOKdDrHeoOxoDyYdo+JMwypgjQvSNOUtKhIFBQ4rNUkQqKlw9qOMi3omobGdNzrlrZZB6nytgPT8fzJjPPqp9i2p11vuLq8oNUd6/t7zk6W7NOcm+tr8tTz7P3nvH7zFtf1nC/n3CWKv/3t7/mbX/+O//a//9/Rb/dcv37Lzat78umcfHZKkSVI61iqElmdcXZ6ibdb3t7ekyRiFPjQ8eIiJFlZBlEeL/DW4NWw6A0SvEeY0Mi/GglZoVObpKi8oG9qpGmDIbr3BN6Txbo+3mBhVmjY/xHuHn5GXBCwSC9QIt4QIiZELihfWQECGVUAB7GK4Cck/ECXE2BCgmSEp00kddeRAu1eU8yDKqh1UJUpTd3y6jcvub/b8/7zp3hn2PWahelJZgmPTh4zSVNSIEEgnUP3NUJYtHdYQuu+qzu8hOJ0yd/8u6/5V7/9W/aiDYmxHGLpYf4wr0qefPKUn//4U2ZpTiZBpkkoQLOM0ht8ojBNS79vaBvNzatbqtMl2gmefvKE8jSjUR15WTGfTRDP5szPFqgkzG71beB3N5s9whiqeUpfObIy4ezslPPTR1yePMHUPcpLetMgvKBvOnTbsL3f86tf/5aX9ZZFvWCeTihVhRCO86cTktxRzc6YFUuM7fEYrHHYrkOq4C9k+x7dd/RtjxMW7xXdvqXD8c22piXjw2eP+JNPP+JS5fz+t6/46dNHTCYVqfBU2ZTmtuZ1s+bJT99j0ns6oVBJjiQNoA8SYTV9p0kyT5FlOAO6sdTrjsnJDw9xF+M/x9thLmZEtQmPr+XQaQu/edjP8dxifLrHRAMhojWNHxe6gd44JGIqgmdFKllMCrIkgDdDOiYi5Sbsw8a35+Pib/BOR0pjTV3XR2itD4IjukcpRVEU5HkJgPOCJJXBn2y/o6MN7/+IWjt0EMdZrxGF//Z5G8+reIdmdfwxdDT+3qtyVHk+yJL8Icl993e/89YUR5+HsvBoplT4KDQYf+5CVLU2mi7rHmcDgCjFcA/48b3s93vevHlNXe+p65bJdDIu1EVZoaQiS9OISA/JWkymY6HYNg339/e8fPmK1WodFLaHyC5gEJVQSpHg+PijD3jy9DFpnkYQUBwKoJh0YT3WGJq2Y7/fs9ls6NqWssiRsqIsS/IspTmpefT4MU8fXwU7IhuopG2zZ71asdntwQfhhuVyGUys08B6cT6MYXgYKWxdb/j8i6/5/edfU7d9oJH2Bt1p8jzh5HTJbLmIvo/R7zcmlTiDl4fnxVhL29b0XUuaJKTzGYMIxeXFAqMv6To9WiNkWUJZBLuMweRGRBuYoWOGlCBF9DV3eBe6baFQDJ1F72145r6fmfUHuQnEMEA3fGMESBgKyaNHTg6ANIf8ZZhvi3Qkhi6biPT0IdsJc81Bj0GKMKaSZmkozF2IomkqqMqEaRVodcP99MC2iPDWBh/TQ0csFI1d12ONpagKqqpCdD1aB2uYJM0o8pyiLMJ7zFKm8zmLkxPa/YZWd2OibPEcOFgxegtxoN17H4F0+d2hZqwWB2aJC0JnQ/iMRdoA6oTX+G647BCtjr4BY5L/Lb/jY1aGOIpvw7GModwNdAOc9Bjr6Y1DG4cUHjuATPF6hi8kfd/z+tUbnLPRasmE8yAEs/mCyWRKkqTxNfx4PwULJhXiSiz0ur7j5es3XN/d0Rl35Gt7oPd6EbwzHz+65OOPPyDP0pFpMqw/Qdw45rzWRvXTXSi6nCNJFNWkoixKPIK27cmKko8++JAsi/EnekFu1mt2u22Yi5zPmM4XVJMZWZYdAMrhfcZYZ5zjxcvXfPX1C4yJopGEWJZlKUVZUE0m5EVBEtkMR2j00djHABwGavRQ1Ou+R3g4PZny+PEFHzx/xOs3bxEqIVNB10BI4kywGPMIlaiDKCcRiIOxueWGeMvwPA2Nqb9/+95isVqeo4p58AGU0NUNxkJvHV29xtue2XQaPES8o673yHpLVZUIKdk3e+q+I81L0rykthbXd0ycY5akCJmQTAskJUIkSANpniISwXR+wlxKzoyh7lq01TglmSrNP/2jS3TdkihJUmW8fv2Ks+WCcrFgu9+Dc5yfLLlfr3n94nW4iZzn1Ztr9vsa3xsWl0suzi/YfvmatVecffJTNm3Hut1RtIaZUiRlCXnJj99/xv7mK26vb8cKPUmS2Fp3gRcsMwRhuN95iwwj2sE30UfVQh8f5EML4JCEehBSkZJQFDOcTsHqMIRswfseJeODGCOPGNW5AkU13BYWh4lKjAKkijYbR8mqkKEBSpSbkAL8ECKDt5oTGuE9qZBIEWjDHoHuJXf3exrd4HJBkghEb8gzmCcSryzlNMH7jpubN1xve1ReciUcp8sli6xC+TCwLrzHx8VZKEGmFL0Li7zuGgD02z13L97Suh4R2/UIKCYV27oNhawMPdX/5r/9Z7x/8ZRUK2ynI3UXjPP0fYdQCdYCScb169d8dX2L69Zh0DjJadqCJ0/OOUmnvPnb10w/fMaf/vhnpCajbTV9W2OMZr3d8ur2hvIq45OPPmSShKHvWTpFdOA6j/ca1wcUFGdpbmu+/t1rXq7WvFzfMvmq4H6zplwmZEXKfDolVTlZMkEaNXpheWFxwrHravpOI6XCdYZ+19N0LelEovOUs8dLnASFYt0JJqXgv/5nv+T/8a//HU3rYBFETOpNx4aeRx9fUm0M274leTJDygKcRPdBKj7QIRqKaU6qcpwQ6D7IVnv1wxN9EN/VQXiwOMeAboOJuY+Kacf0pWE/g8x6mAWUUWwk0LiGRGpY4JwPxcmQSXiV4AUk3jOfZCxmJYkM1JoBFpJHqG9INdwByTWhQ6J1TxjGTymKgtl8jhcqzGRog0oSqqqkqgqsDYrLPgEzm7G+K9jvduDDQjbQcIfkT0UrhmFW57sAyYcdu+Pv8OAnh1P3cCcPu6/v/J2PM45jwTl++ztfaUhwh9L9ULcPHYOYxcUS0scCd5iF6tsO76JStggzliFZ9lHRb0fXNrRdT15NOD2/QqU5QobkVymFVAHhCqhuALiGRKXvO3a7LXe3t9ze3IwiCGEBj+9NgvAK7yzzxYRf/tnPOTs7DaI2STImMXiHjWtN32vW6w37/T6MTnjPbDohz1KSJCFJM3a7PV3b8ejRVZybsfS6Z7/dsF6v6LueoixYLk+Yz2ekWYqHcb5FqkNi6jxo43jz9o5//x/+ltdvbnHOkecZZZlRljnz2YTZbDpK7bvYeRHxTvZxXmroqLRdS7Pfg3chrxDhHIa5Qh2unUhJkuAjqRIVO62MgEQYu1BjsSiOPNWGmTdjdCwUB+T94Kv2Q9uUOojtDUfnvEfGwtnHczwkxIPIFd49eLZGldIx3klUVD2XcU4xiNoEkaEsTXFFEWmkNvqPOopUcDJLqDKJ8Abv5eG9xaLg0NEfrtngnxfm90PhAmWRM59NcX6Hjf7WeZaT5dmYOEOwfygmM7Kiom1qsPYQq8bi8OFxHKioRwAafEfAGQCtGNmOgMGRUXb0+XCHDXHosNPjODp+fcSs+O7YOkRr4rN5iNUBTAIvB1AgFItN19N0kkSGZgGEvFDG4tY7T9M0QbWYEFuElEznMx49fsx0Oh/ZJsdem0PRL6QaO829Ntze3vPl1y/Y75vwjAk/Un59zF2dc0yrkn/yV/+In/7ksxBDwzsb16DAgHFYp2nbjru7O+r9nqIoyNKMoiy5uDhnuViSFwWLxYIkzTg/PwlWKi7QVXf7PVprqsmU5WLJbLkkL0qSNAXE6MkZQuwg0GO4v1/x13/zd7y5vsVbh4ojXkollFVJWVUBMEySkcZ9AEAOrIZB8KfvWro2qKX6OKIgZcjJsyyhyOdI4VhvwpqT5xl5HoTOpIwaJAhkBCt9vE890T3AmKB+6ohA9QAy2+AR/D3b9xaLU+fIIw0BmZAWxcgPniweB0TAWPR2i2s26HaDLEu6fU9RTJDlhDQtER4sgrLIg2G6dWzv7yPqlJCnKfmkIk0EvqvJ+lBqSQFlIpkLh5UW5yWPT+acliV939OJhKlUnF+c0fUt9e2KsiyRScaubkjSjEQKNrs9632DQFFNJ/R4/uKnnzLPC/7u69fsVhvKyTPS5QlWQl9vyOswpyid47LMeCkkUihMH06oiZ49CEGW56RpFpqI8QL7OPMgpItmxsEseajeD6h2CCwSgbQgVDA2FUislMFGQ4HRMop0hfOihAwFJh7SFCUTEpUFNVWixUZEwNJkUH0TkEikB+E8xsXg70XwamNQ5nNIMpQySOFJhUc6h/Fhvm+912SlIs9CcNl0PVZmTBJDnkiUEHQ2iLNm05zqySV/9Cc/oxAK0fcobEwygxEzEpwxWBOKOi8909MT3nx5zd/85kvkVUn+TYrsGzyCNFG4oe0uBSjPP/nf/CV/9OlHpDZBDAHOaLwxgWahNcIZTGN48+qOL9+85eyPLnj66BzbOFztSIygyOCknPD49Ip8tqQUOdZAq/fUuy37pqZ4NuNPf/4cpzXL+YJUJHjrkFrQdQ19F2iExhj6pqNZNXzz9S3/93/977ntNqhUIouERlhUpZhN52SioGssVSnxvUY4i+k7jDOhsyQVqXR0rabZa16/XWGzlmfnp+RZynmVgTX0taZpDatacnF+yi9/9lP+9f/nV6i//AUX0wW66DidzkluLffdHvl0QZaUSCHpDXTGI4TBEQLYfgu5yHAmCfQRZ6h/kHLyxwvusBjHBPaouAjZ6gEF9VEpzseVUQA2dnmIC4cc/bhC8qHGQksG8bDBY9EPqqaCTKZMJyWTOIfg3GCcfEgcBvpqyEv8mDxZbaNyW/Alm85nFEXBdt+y2WzptSEvJkynM6qqotc9CI81ksl0ymQ6YX1/FxHmQ0GnpBh9WqU8JJxDcjQmND4UXAzg2PDvdyHh4p2v43EdHeXDz3Hfw169H67RoBAI386dxIPXH+eQGJKqUHAzJsVDsRjYI73uIzXooB49JHbWWnwXurDWw9OLKx49eUaS5kgVZgnVmFse5mwG1c22a9jvgjL03f09m90+xCsbaHFKCgadlYC6W3786Uf8/I9+GoUU4mhBRPEHWlnTdtxe33C/WoUucmT0ZGl4jmX0G7TWMZlWTKoSKQRd13J/v6JpGpIk4+rsnOl0SlmWwdfRGpwxR+tXOL+hgLPs9w2ff/ENX331kq7TpIlkOZ9ydjJnNi3J83S04wqSeA+3YwEGYzS73Y6maQB/pHw4ULdjoSrCfamkCkmZSgid2AjSqCSKDoVzJSMtbSwMrcNYPc7AHQt+/BDnFoNCLISuEIBH+dBN97GA8IkfVTFl9IdmEHga4t7wSNoAaGJFsB45AsykGsSEVGxADmBNUJBXUpClgizST00ESVQiHoSLh1HAj9fI2uFvLGmaUJYFeZqitaapA7hbyUmcURUj7RscWRaKif0miUI7MVLErl2gLCdjwTh2hY6MXL8FJnwXP3SMXRxizIOj+vu37w5pPn5PPHy9d1976C4KxrlLfDjvPoKTQnisD16oTSPIU4UdKKMMBUUQI9JW411QRXXOcX5+xo8+/Yyzs/MAyETGzACIhY9IQY2WJ1prNtsdb97esN/XDKJuMLxHiYw2wt5q/ugnP+If/cWfMZuWHJDZBweJdY71esvN7Q1d21JVFdNZYCBUkwlFLBKzvCDJMrourHfGBMbIUADPlyfMZnOqqiJJ0wjoHu4ZZ80426z7oN3w+edf8dvffU7T9hRZRpqlVFVFURahYM3yaDMVWR8cqJ/Oh1lJo0MXvG9bmrqmaeqg6p+oYDckZbCeU+G5mkynIFWwSMoysiLEdoQImikEJVShBtDF46zHmACqaOvG2Dmo3Rob1o3v275fDVWH2TEvBGlURRPekiqJEpZprnB5hptOaPWSJgqGSKJXX5JTekiUQyYZutd4Y3HK0ecZ3npSJZF4fN+Q4NBdzabtSaXAOo21hjSRdFZTpSm/eO9jkr6mMZazqyuk8JjeUGQ5Rgi00fi2wTuDEjIUjVJwer7k/n7N6n7N3e2K93/0Ic1qw+31NbdvvsRPzxCzC8oiZ4KnUhloh9KWtmvZEwqq4P2jYvXvAoqQ5kiZQOw6DBBOADcDVcwPPmbxBvcciFDee3wsfEREQo0DIZKginrUHx54+yK0BPEIpA1iQi52KIEYHBXYUNCLJEF6h9M+0E7jPIaMfJQRMxQeksipdhpndEikBEGYyEJrDNYJnPHsrcYBXW9obUrfG+53LdOTGV2tKWYLfvEXf8THz5+T+RTvDMbruGYInLEY3WNi12a73eG0Y3275/XtHX6eoXqQFrwNKKfTQS0yTROk0VQnEz757D2W+Sz6S4aWuu0DnbbdNmzv1mzahuubFcwSPv0nn/Do5ITUFvTecXd/h/SCNElp7mushZe/e8mX51fMyxkSh02ASnJ2dsEsqxAZpEKRyYSua7EyJFLWOXTXYrqgEHZ/v+WrF2/4ZnOPlg4pFB98esWzqzOmeU6RZAgtkGlQ+7XGoITBOYO3js4O94pEd5bdqma/3aEnDT0XzE7ndLoFY9jrPcZYVvuWxaPHPPlszk+LCX5awXJKpTz+rmFjW4pHE4pqRiJzcDIorJoelYRORlNbdt0e6xy5zDGuJy8TEvnD42aFjtLhq7AdFmUpCAh6osAnEek+CJ4MC8DwYUeKR0QS/aA+JiPF8PB647LsHQKPwpJImOQpRaYgdg4H8ZVDqUIsbI5nQjzaBA8lIaAocsoiqFev1muub27RWlNOFHmexk6Rw5gE4T15lgebgyxFt3V8zUORNXRmwgx1fDfxzRzO2iEJ+naS8x9Jv4+Tqe9oLx7HzeNX+64ULb7p8Z0M8vAHGt1RV9GJQy5HOOawmIci6JAoh2tpEWCic4iXGOdZnJ7z4z/6BedXT8IMOwEoCIWoi9YMhq5r6LqWtqlp6jDnuN9t6eM81yCyEqjHYqQ2eW+ZlBm/+NmPOT8/HRWolfNhbRbQ9T3bzZa7u3u2mw1KKmbTKVU1wTpL30l030VEO9CcmqZhu9+z3myw1tJ2HSenp5yenZIXeRQ+8AdqbOweIIZHIFhEdU3Hm9c3fP77r9nv2jDLnadcXZ2zWM4Da0ipaAka9zPeNA/n2/quo97v2e8DpUxIcSgW3UDbDsVhkgUkP0kTVBLpsYGqQ5plpGlKkgxUssCmGQU8RvXHIGrj3n2Wv+9e/QPdkiR0+sYkZUxj4xa7QjHAxGsVu+7Dzwc1xcFmYfiwg6rs0FmLBY1QI5VTRKACEeitVgqMDgJMg9DJQ0GZIcn2Y/7j/SBCFToyAHmakiUp3jnu7laBzm0JDLTkIMjl4xxwIsXYlQngf7TJGIR9lAp/NyT7R01FGNtDY8Eojj5iJflOgXM4xw9rzMO+Huz/ATR4iHDHc5ADu2Kg7IbfjHnkEOMio2Ww/whCan4U7PIeemNptY1OSEMBEX14h05ufNPSQ57lfPTRh3z88Uex+xbXuKFQjJ234bnS2tDUNbvdltX9iqZuKIqcNM48DyCFEKFjbUzPyXLKX/3lf8bjxxchfz6ClpwAZw1t03J9fcvr169JlOLq6pLlckGiErq2C36zWUaWpQgBWmtWqxWbzTasZTiSNGFZnFKUJXke1kqOZi0HyvMw06x1T9f1rFcbvvzqa+7uNyEPVzJQ9U9OghhQ7Cb62LEfwIWBuYAPxXPXNNR1Tb3b0XUtzrooKFSQpBkQPGmdc2NMWxYFSZaTF8FmSMgDr9z76JSAGHMC6xzaGpo+CO4MbAsfARpj7X9asSiUQwmLVCnOOZRKcE5h2y50qBKPlx7lLROVUlZZtFiwI43OWIsQHuUEPhP4PHjS9NqGAeOuRmNx2uGkCCRKESmEgBPhxMo8w0t4dL5gu1qRTSZkWYJ0LlJ8PF5rEmcRqcI6wW6/AyDPU+qmIcsyyqpifrbk5OSU+m7L2/s19f6evL6HySnNfs/U7rEqBSlI2j2bpqb1wYjaWEuWpjR1aJ8rlaCyAi8knjDrMDzXzllGetlRojTIsx+jJMJaEBoXu49BmWroULoxsA60pLDgxs7isPA6NyYm+HDzMtCeBCMVDoBIi5LxwQPwKsi5C+8C6idSXA9W+oAcxgfUekuSl2ijsQ6MkLQG7FbTtZbeB5TpftMiJ3Muzs9RXiCVwHU9XllSlaLbnna3p252Qd2sc+z3HXe7Hd9cv2H2aMGJW/Kb/+nv2O7bo6TaI4WiyjM0hl/+4z/mL/7052ROBfpd34WHvOnZ3W9ouo5NvcNOFaefnfLk+VPOqxOk9ngr6e/3fPV3X9NlNXl2xtd/84o32zXFYsa63VBNcpQUnJ6fUeUFhcpDQJYgjMe4EEhkInAmimN4j/EW3Vve3mz49TevaKMK3fxswk8/e4+ZyJFeIWPHqVAC0+oABiRh2dGNxuCQ1rHfad6+WLFpVySnHRfnBZlzOK9JRLBNyROJy1KaTUfrFJOTc340O0MmUOY50nn23DJ3NcL0CCfBq4gqG4ztQ2KWBlGjzXZPlhsSkdNZgxCWfv8DLBZHilL0QxgKRRm6H0ISlHWlHEaexo+4hweI4WEOICqjWj/ScKw5DJhbF2c7YkKuVLDlKFLFrMookqBG+G2U/SiZHZO3OEcR6ahCSNI0GedFbm5uguBNHwCooJra0/c9RvdBfMvZMGuR5zRKjgppYogf8kDLOk6mD/SqB2/y79n8t//3bmL+LmI/JEJiiHkB4R8bFUNydVw1RgrWIS8+FIoHgZ5Y9B/lZUNHKRT9IVGQhEJ+1L2NMvAuFstJVvDhx5/yyac/Ic2ro3kQF0AfZ+n7jqbes92uaeo9fdeF5NgGSf88yxCIQEtyblQH9JHyKnCcLKb86JMPyNIkzMtH02djggjPdrtns91itGE6nbKYz5lMpwghaNsW0/ehS6DDLOPt3T3X13colXN2esZsPuPi4pyT01PSLKz7B1ZdTBalCLerCLHOW0/Xdtzdrfjqq5fc3q5xUfxpOZ/w/MkjyjJHqZC0Oh/ATikYlSc94XmxLigZ1nXNer2i64IYj0qS8ByKwfpCIWSCStLgN5llQYBipHeHvEHIKHEfu7wDvTIUGaGTGJ5LOxYjPnoYB6n/H942JJKhTjwuGiOIxaF5Bkc2QeKgsRDubUKRf1Q4Wmuil9uRGI0f9HQii+IY9YrzqWoEbjjQhmEEJYbw4v3Anhw88cI1lJHqmCiF1oYXL16yXq3JquB5l6rgDehivoQPxW+apIHC13XxXhcHOm38GDxlhZSMU8dHgMKhnhPjxwEDGV5v/Ma3Y9vxdvyjgZ0xvGAsNuTA0R6vX/i7ERb7jkJRDJRgKcfGhRNmPJ+BkeDQSiCEQxuLHgpFfwAEBnbN2fkpP/npT1ieLMfRCh8thHTX0fUdbdsGYao6FENt0+KcJZGSxXLG5L4KtPdeR3EbRjAOHB988JzPPvsEIXyMdXK0eAixtGa/37Pb7SnLnEdXV5yfn5EkKcYGemnbdqRKkvYZu/2a3/zmt9zdrbi8esTJyQl5VpCkATRNVDKeYy9c7KzbIzApFndRqOn27o43b2/otAYf1GCfPnnMYjELwopSjkCuGwWl/Kg+a01Ps9+z227YrDdReExSFAVFWYR7T6oQq6JSc5jBzcnKijyq0x7OvwMVb5n4vcEv05gAAu72NdpYVJKSJClCikhLtfjB1Pbv2b7fMM07nEgIg/OORApIUjSAjN0mPNo5FIEmYoXCWE/iQxva4xFKYgT0zpClKQrIlEcUGV6BsTo8xFKQCRnm/7xGDAiI8KDgwyfnnJUlb1+/Znp5gRRQVQVSKYxuKKoJfd9S7/ZI4ZlPJ3TasG8aus5g9y1KW5bzOUp41usdb9/cYPsed/+a6eVHOGPIlADjsF1PpleIXOH2iiRNadsWFVEn6xwqTUnTPIg+SIlMc5RM4w0yUEF9XIDst3B1EWcNnQ03HFIwGKWGbsGwWIdhfetDUTD4Hw0Ilo0eQkIe5qLCjyXWa7zpcSpl8GiLThqDBABKSVQ1QWVzuu0KITTGhuFsLwWKBCE90vTo3pIUBX7bkJcZ0mlq7aktWCVRWUJnPMWjK375X/0lHz9+n9QnCNPjvMUZi+01znq2qw23qzvqVcPLNzeU751werLgveUjFosF9tZgW9CRHiQQaOeiWmA4zsVsTuEzfGuDqIEztF2L3jb89je/w50qLt97xMXVGcvJnCqfQy+C6ELTsrq+58uXr5lcZbz4u5f8u1/9HRthuJw8Ii0y8lnFYjZjWc2QGrwNfH3TmYCkGh2usRNBEKNr8B5MY9i8rXn18p5N36HKFNkq3vvkivPTBd6ZMXlBKPAe3fUICcaE/1sXnrP1bc3L19ds9R2Pn+dcnM0oKWm2hrrfhetqDJm0oQMoPOvVhstHj5jmBc1+S9PVzJdLlpdPsc2O1d01SVJgNXhvg5FtY9C9pSwK8iwlM4o0lfRth8w9qfXcvFl/b9j4Q9ykipnrQDUaENuBeQRxXi8swEFO/niBPoKdY1z0g5+qFyNyGmh2h8R4EMkKMwoWJRyFkpxMMk6nOWWmSCL7goF+OSZefkyaxuJ0SHj9QVhAAG3fc3N7z25XQ6QRGd1jnadtW7TugterNUgZOpJJlqGjKudA3RyNtaUci99DkvlOwXi8PWwGjoVHKLKHDu1QpB2O8fiPQs4UEXURaYj+eKby6OWO0PxBLmXoLI6J31gFDRYWYX8hgXJYMRTzB5GPoB46JK7B/82JEIM++tFnTBenUbDFjEIxWnfoKIm+3a7Z73dYYxBCkCQJRVGQTKpRFGGQsQ+nSIw5KN4zm024uDiLCVSwR9ExMeu7kMhkRcHJ8oTpZEKW5cgIFkgpMcax2zfsdntW6y2vXl9zc7tCJRnGOmbzOYuTJSrOLxLPlx89uGIyLGMxbT2m19zc3vPi1TW3t+uAXCNIpODx5QXnZ4tIew3nTMSZSjdWJBEAtcGnMiRPK7quBUDJIJmfJMkIWozARZKSZClJmkS6Y3goB/TeM1xvETtLcaYqAiUmoukDt2ZA4n+oXUXgUGjI40Lx8Mw8mOuN/cQhBg5dq6PIF2ao4/lKfQKR0j1eg6ED6T0hHx26t45MwjRXzKuUaZFSZAlpVJ188PzH/zp/SL6DiXsE3hAoGTqBTdvy8uVrmqYhK6vAQFJqbEAc129SKdIkQSUKYQ4xM1HJ+CFU1BAYlGCPilUXAYWh2360Chz+4z2DINnfey2OjlZ8+7fGXxhm6x+yMQ/6scf7OoABcvTeG+cKXWgIeHNQRTXOYZwAbzEmsLfc8I78UIB4iiLj008/5r3330MlCR5GYZa+bdnvdmy2G1arFetVoLQrpZhUFfPZlElVst5s6XXPdldHcaqhFRDOrUoUjx4/YjqbBJEXgqf5drdjvVlT72vSNLAmnj97wnw2pSiKyKgDLOz3Na9evyFVCiFuePnqDb///AvSNAszq2VJFtkIA9NkBGJDVh5jRewsahOsOPqOpmm5ub1js91jbbhvzs9PeP7sCUWRRwVmPyqbwgAuBBpr33fUux3b9Zo6rgdJllKWVbDVyCKt1AbF1UEnwUQasEoUKs2CDdxwweWgZ3A4FudD57DTmn3TsmtajHXkOSAkEnWIdX/vjRe27y0Wc5nTdx1C9yCT0EmyNWkicVLRW4dCx0U0zMJJ78lEoOVYL3ESMu9JcBTVBC8UXvfkVYUnIH0o6J2Mnk89Rbmka7ZYLNpDIiS3pue//+QZer/F5ylnZ2dMphPa7Q7pLZPplPVqTbvfMV1McULy5W9/j3SW5XJOWpXcGcMXX3zF+ZMLbNexXW95dXsbukCbe+T+mjSpEI6w6AqNbVakCJQPhE0TZwLTLMVLwdXzx3hSZJog8tBSl96DtbRNjY+dCiXkUeVuHyBQYkgukHgfJjmGmzYM/Q+dg/B3IY8KNCkp5YiWeeEYSkgnBN4FT7Q0zYmquoGCCiRSYrXGBYkycB5T79F1G4OqI5USpKK3llRFGpCU1MZwv+tRCsoyJRcK1Xs6I/AiQQrHpEwpr0759MP3maVl8FfE4rSmXe/ZtcFbZ3e751W9QleS6Z9c8eTRBaUvoNOo3rOpa1KlsFIRU2aMtex1H66FFOzqml3bMHEJqtc4a9isdmFu87LgvZ8+4dHyknmxhM4jdYq3DqcNbdNQ6z3bfkvBki8+f8XL+2vIU7oXr/jPyywkXklBbkJR5YQMojyMMEBQdrMej0UUGf2m4fbVii9fvubN5h6DocgyFo+u+Of/1S95tDxnmpZIF669SEJXwVmLNx7bGTabLU3fUa8adn1N9kjz2aLivCopsjnNnce1BtFqUCC9I/WQYkjp2dzd4m2PlIJpXvHq7Q0ulZzOloisolg+QnsPIsFoixeWrtPsm4YsbalrTZIp8AqP5eSiQLYl169X3x9V/hC3gUo0zqMMSOCANBIXjfDoDkbVg9DJkMDCANYfI7sh4Q1Flzzsl2gGbOJ8h9Uop5mmgotFwXJakiUq+jmGJC32TSLD4CBCMcz5DfMhzh2KJGstu92e+/v7MK+YRGqL1qANumvRukd4h4zPfVXmlHkehHzCsPShyJKSRMmQ7Fs7queN5+3dQk+8uwr5w88HO5Dw7g/tg0Obb/x/WASPUqqYEQ3NhwMSf3i9A8Iux8+IQZDjUCwKGedtBsovIbF1gFSSLEmCPLkSEWkPsz4CEEpxfnnF5ZOneCHQfYtua9o2SPN3XUfXBuqpjpS5rMhJk4Q8zynyHAnsdvWYlJhxdi5SmGJRnCYq2E+Znna/Y7ffx5kbQZblVJMpk8lktOkYvQR9mL+8u1/x+tUbNts96+2O2/s1Tdcjk5T5Ysl0OosAQzhXAew4JMQjFSxet77X3N7e8c2L16xX22B+LkI3vswSHl2dU5b54fq6oCY7dksYik5DvW/YbjfU+x3gmVYTsjyPgizxHhgAhUhBHBQQkyw7+JZFpfDQlTpQ14YCwcfuRMhn7FgcDeVJfAU4UvL9IW0DUCFQ8bjfLQAPmx9jzvH27u+FkxcYGAdmhvRyBMhARNpoVFwlCOrMCsWzsylP5wmnE0VVZCSJGoGcg+H60JWM91DsKhodPBu9c0HYCM9mu+H25gacDRRUpSJ458dnihG2F0iZkEiFkdE/NdJP0zRQm2UUCQxHIeIMnxv3NZyNoeAYKuvD7PWgXB3ztHBmHzQYvytPf1AADg1EH7HM4Zod/2G8huOzOrAnRMgpRRwhQIYc1VmNFyGeGTeMTkCqJEIEsRYf1zLvZWQLeB4/uuSzzz5lMpuGjqALo0R927Fdr7m7u+Xu7p7dfo/HM51MODtdslgsKIoCnOX65pbXb67Z1W2kuboxjguCJkeiwjk3LoBIq/sVb95c03UtJydLHj9+xOnJCUWej2DaEC+t1tyvVnzz4hXeBhXwt9e3rNcbPnj/fRaLJUmSxCs6nNuxtRn3daBZW2vpI2W/67rQXWz7ED8EZGnCk6tLLs5Ogt0MgAM7NM3ifrQOyte73ZZ6uw0eyGnK7HQWVFPz0FH0wmOiEre3dgQ7B5BrKEJ9ZNgM9/OoXhtzZec82jqaXlO3LW3fA4J0sDoSAwiukP+R8aLvn1lc3YU5B9eTKoV3jqSa4j1IYxFCoU3w4ku9CFS4JMVYQZIJ0lhEMiQb3pEJ6ITD2Z5ESoQK8P1UeZAJvghqa8nJAosI9EUJz1zLs6tLbn/7a04uzpFS0tcdy5MFddOxXm+YVMG+4vb2hgR4/uF73N9veHt7h+x6dGdQHmbzKabVvHj9AjUpyaQHrzlLHCZP6YwgqxL89QvWbY1TCSLNgyywd6NU7Xw2pSpL9LYlzQ0+CXxnawLSJUSY0UMEmpkUkaJ2/HAriYudCDkgbljwCWO570OhGCSFYVA+HW5wJyKNI+4nFJRBqdE5H4pBH+YOwo8l2nmIA9whiAV6ULCC04G3n0iclTgrwkyhABQIoVjtWs4ngsk0oSgqOufR1pMnGd98+RJRpSznFTkJprVIa1AI2u2e1eaexjXU+5a17Tj79Iqri0tykZAJEEbSu5Zmt+Pti1tW92ukNzhJmOlzwcLCOod0ijxLqYpgwHzz+i1Gt9zs1lx8cMFnP/6I0/kZs+IEZRI639O2NYkldBbbHl9bks5T3+95fX3Pru+R0vHxhx9weXFKpRJSwLs+XjaJMx4nQhHf1x1CWmSS4I1AOEm/8WzaFjPxnFzOKF4F6vJsMuN8vmSaTymEwnhNX2uc3dJuLNt6RVYo2m3Ltq5pTMdtc8P7Pz7l+XJGIQsSJ/E6JETC9KSiw3mB1w4nFMJoUgFmu6dpW5I03C2pFLx+8ZLkfcU0n5OkYLoe6wTa+qDfayy3Nyt615MknulC0WmQiafMMpSoWMzOvjeo/CFuzX7NqGAqBhjAjwt/2IZOVnjelJJjgjBQfI4LxEEQIVCXDoF4nCkBwKMSTyoEwisyBItMcDItmOUJWSJJBxVgBll3FYAQoiCIH2atIp3PW5wzsUANxeJqvWG12WIjMimkjN1MHzqMukMSYoQSUBYF00mFj6bKCBGEQmSg4iqpEMJHYYgDzf5Q7D3cYs7BQOU80KiOi8Lh87sF5/HXw1ljjGcPM6147fyhUzJWAgNAF6lZRJEbfOiU4QXeMvp1WcKcnlSSqsrAB6l1bSzaDPM8lrSoOL04J81zuq6l3m/Zbe5o6joIDtlA95JKUuUT0jQlz3OSyFCRQtB3Hev1OhT0fbRI8sHSYzBDEkKgtWG13pAXiv1uQ6d78qJkOltQVZMj6XpigyecT22CMuo3L17w5s0Nbaepm5a6bijLig8//ICz84ug4jqoXI7X1HGYUT3Mxts4Y353e48xlqKsKKtu7GZPJhPOz85I0ixcdRtYHyKuT8bYg8dZXbOLPo7TScF8sWAyCcdjo7S90RrrLdY4tNFoHQ2/nSNJM6bzkHAN3Q4flrjDLSkGcM/H6xISuSGZPiTx8X7+gXYXTd8GCm88QQ8AFTlQs4dH7mAXRPw8FiwDyHP0rI7PZfjto3/D3yRq6E86Mil5fj7ns6enLDPHRHnKPCNRSaQ629Fux0cGzsC28i7M9gcFyQZrHWpSIgXc3d6zqxtUmsdZNT/+3TGINZRyA1NCRraBUnIUtxk6i0LIB3TMwYtzsHoYipzjj+F9h1mfI7DjXTDtW1991zbs1Y9F63h+3yn0h8JCcJgxJwL/DN6Z3oFWOATGQ2+CfYaQktk0JUslMl5HS6Codjr4Yj57/oTzy/MgJBhn+OrdmvvbW1b3q+A4IAQnp0sW8znT2YQyz8NsHYKmMVzfrbjfbDEjkyOy6aJti3M+7Gu3Z1IV7LbB61XiefL4EU+fPmG+mAfQcgCG4j1rraPXmt12x2a7p207trua1WqLc45n7z1juVyOa8pYxMeYd1jDFVJ6rBB0bcdqtaJt2rCciCA6I2Vg/kyqgkdX5xRFzuBugDF4H9hn1ljatmW/21JH5dUkVSxPT1ks54FdEjvq1vmxILRaM/jOSgHaWfrWkjUtaVGhRqDnCCgVYrS0sn6g7Rq6CKqE+4BxLRw9d0fhq+/evrdY3LVbUGEnTiXYVGG9JXOgRBJcC/IK4XywB+h3gYaQKYx3SB8VO6VEeEFrOnokUnqwHq0JyJ+UIflx4EWY0TFdO8pyO2d5elFR5SnTz34UpN89TGZTtpsNZZaQzGbsm5b9bs90MsPj+fKLr6HtyKVi1be8fv2WL1+/4qM//RTfWb76+i1FUZEmEtN33H75t5w9/QybzHDtFtlf45QjK3IcPSoNSZbudZh/zHPQOnhdqQQnFIMYhBGOJE/om9DpclYHGuqA5A1BIiYmfrxwCocMojTY2EGwCPThdweklwEp9djY3ZAx6Ql3l8ToPgzaqmgoOiC6QpBIGWldAZ0YhSuiPHqSpAhb4GyNAbR2wfux12RZwfmzOdNJSrPrkUnJPIHt7ZrZoiSrJGUVaHu6aej2O6zuWd/e0vYtvvSos4qPzh8zyyeUcoJwDuFcOGeNQVmB0Zp930RPJofuNV0X/JWC7oPFY+iaDpsmFIsCoxI++8kjLk8vSDVkskDpBNtplPdYY+m0odu13N1s+c3ffMWL1zdcFQtu6h2dt2TTgn/8X/4DLmenKJeAt0FsiCjQIAUith68BG003bbGacXXv3nJ9W6LWCY8/eSc9Dcr0mh7gvcoJSnSDKkFQsPubsNqdUfd1YjEUfic/aZj0+84eX/Onz/7CSd5SaY9NgoUGevRuy30HbnSGO3oIk1EOIMzHdLCV198yScfvI/yGXmaU2VV+LntkKTkWU7XGNpdgxeBE6/7nnLZU00lpnHs9p75sgigQeOo5t/Gmv/Qt/1+H+aghHpI45b+KIk60BmdFDh3lGR4j/J+pLsd6FtyTLqAcYEK63t87uJMspJhZrHMFPMqY1Kk5GlCIt5x4oqLmxSEZCoyD0J30gYT+Ug7RAiMcdzdr2hbHZ77JCxw3hm6tqdt9lgTOotKREzSW/I0wRQ5iQn3vEyygLYPVhDOB2aDiy2470iCHtRx3yrshtrwgLYfn6Pv3o4inxff2t93bYcO8LsfMs6cDnLvDkSYsYrijmjrcUKRlxVFJqM6qaXtDW2nw0xdXpJlKabv0Maw227Y77c4a8nSLPoZhq5XkqYxCVUoCdYa+i7Qml68fMVqvRspWeObJ0DuQgrquuHNmzfMZmH8YlmdMplOSbMCFVUnIdIwCaJhxmjapuH65oZXr9+y2eyw1tP2PVIpPvjgPX76059QTcoAcsSkeVCI9ZFiNyTXzjn6rme73bJdb3DWMptWWCfZ7BqETJBJwmKxYLGYI2LM9c5io+qo1kGcomlq2q7FWkOWpZyfnXBysqCMcvMAfSfoZYcefS/DRz/sp+txfhcFGgRZkY+gT5gzC8XfuHaOwEpUMnYgpBuT7uFJG7DaH9pmbbCucm6g5w5Joh+Lw7CJMcc43JBHBeLw7PpQwgxNteMn95gSP/xAxLg1SSUfPj7jw8dLMtuivKHI0iAqIwWYA40vvJTHxxhntAn3Qd/HWTgXxpaM4fr6Lc478kSRZWk0SdfgTaSH6zjjG8ZHQndFjGDfYAkipYizsYrDQTNSEwehpSFHP4BSD8/3oBw7HMNwPEep2MPff3cXY+39HTFx3MGR8NdRZf/u3KJQSRDdki40chBYL+icp9HBRiPPU84WJVka8vKu1zSdoekcyJRJVYKztM0u+MPe3nD75k20rKg4OztjOp9TTSdkaTKklwghMNay2e745sUrdnU7znaHwtqP18N7ePnqNS9fvebpkyvAc3q2ZDZ5xvJkSZ7nEfwh1ghhHzZel67rub65ZbUJbIe66bDe8t57z/iH//AvmMymofki4zWJeXlQdD1Yx/TacHd3z+sXL9hsNpRlxfJkGVgc1QQhgzr/+emCy4szBLHrbCxd26Dbhr7v6JqWpmkxRpMkCYtFoPvPFgvSLNi6hNlCg9UdfdfRtS261wyqsoOAVK81++02MClyG5hHQ6yTyQEEFQGjMHFGOzgrDJoDQeQqjBgGZ4Ek+f687vs7i31PNV+S5hmpSkjTFEd4eJzzpD5wi63zeG2RqEDTsgahFF45lLUI6yEJhvXg8CZcBIdEyASvmzDnkWbk0gck3Vhsa/DCcjJL+eWHp1xUBe3WQlWErpd3LE+W1PUe4QS5UvjJhNubW/r9nrPlGW8393zx+Rd0mx110/D0+VNOqxk3v3tBY01IqJKUNJUUk5z1678jS2fBSFns2YlhvsiPFJe6aVlmBabvaYUgzapxCLprLdJ5XK8xpsM5jfMmdKGGADs8++KAkkuhAsXR+dFPMdywmmGycCgW8W4sLsWAgiJxOJwJQ8jeR8NSQqAMS58KlY0Id5GJhp5SpUFmnCB6I9KMskihNyAVicqQQmO8ptUGJxVZljGVGYkvSbLQMTZ1TVoVeBcUyKbVhDxVmG7PdnOPwbMXHbuy5/zxKY/Pr1hkU7wTOBuUA7u2wVhNV3fcvVnxzVdvWDf7yDATGAGtM4Ee5gNd2FmwxrLta6ZnM5YnMyZFySSfYlyPRGK6Ps4Otei+x/Sa+7cbbl+t+Lsvv+Zttya7l2z7HjnL+V/9d/+cn3z4EUpLnDNYYZAEQMM6T691sISxYQaz32m2m5q763u+2dzx+E+fcLqYUemUvnIUeU7SKpQUJCrBaoMwima/pzMNNunxtqN3hiTJmT4puVwuOTk5YZYvSG0CugGhccajNy3t3kDbIBIdFgIyHAIdVVO7RsO24csvvubx48dkaY7ZtrzqWp598AyFAqEQKsxiaKshscyXCfkpnM1n3L/qWHc1xqW0O03XaGT+vTHlD3KrZvORYokYikIID4QY6jogLGTyCIEcaKLEXwdCASdDkSf9w8X/qN81AkSB5h1muasiZ1bmFFlKGlX4hqJqoDn5OKczFDkD4t33PX3XYowhjf57vTZRGdCiZKBUziYVRZHj+p7aRC/BMaFy6K6naRuM7kM+ItWYDBLf94CwHh/dQ9T8MEvzoEH7YBviFzFn+Ha34vicHf3ZmCx8e78HlsUIkIkwbxiO4agbPFzjyLCw0hCUUD3GQWeg1Q7tBYWUyFSiRAIyCWrUPgizad0Hn+EkwejQXavKkmoypSqrMAowCExEICHEe0fXa16/fsOrl69pm+7I32+gEkfowQfqcCjyEqpJRTWZRtPooAgaEqfgo2WtxWpD13bsdntevnzD3d2KptWjmfl8MecnP/kxjx8/DrSs4f4CBhVU4v1nIx1sv9uzXq8Dyo6P/oeSujUYB9o60jTj/PyMSVkEsNT7aGewp6mbIGphAgCaZRmT5ZL5fMp8NovdIBFR9iAu0bYdTdOgTVDMtDbM75iYPLVtGEsQSjK107BWKxkTQRHA9EhPHehqw312PPE1Nmlicuu/+6b9g95c7FjjQ2zyRw/R2PAfj3uIbOF+9EPLYqh+ODyrzj98zj2HuWohhm5/2CfOkyWSSZGSCU+qPLlKg3qlDACbj7R3RvGuABKbOEMWZr/CDJlSijRN6bXm9u4uvj9HlijSJAgquigC5awJtlou+GQLJAeaujgcezxHAz/Sx2JkKEjc0X00HrUYYMLDORi+Pi4Uj8/1mNeN3fzD/g6FaPhq8CQdNzF0F98pEDmmxMaZRaFGKqrygQWIkHgCQNYZR6sN2rioSBve5GAV0XUGIS1dW7PbrOnams1qxe31NbrTLE9OuLh6xGS2QA2+f7G4h9Bd69qWm9tb3l7foLU56gr68YQM98x2s2Oz2fPec8V8dsKkqijLMoxDMfg/HhXibhCPcdzd3/P5F19zv9oiVbBGOTs75a/+6h/xo88+CfeYc4w6AEcgyLCWNm3L2zdv+eqrL1nfr5jNZ5yenbNcLnEe0ixDCEGappwsF1RlEfNCg7WaZr+jqxu6pqbve5RSYSZ8uWS2mIdjSZOx02u1QbdBBbqp93TRb/fwvqKlUK/Z2Q0ySSin0wBoKIlUKWnqg4Lq+JgOWgahg54MDKFjscuhaJT/CZ3FxaQMXjRJGni3fUemkrBYKhmG+3WLiUId4DC6ARcU2vK8oHWAd6h4Ywpc9DuCTCUgU1yW4YULw5kmoId914UkSMBPny0oheXu+gaEolCKIg0IlNYaJRRWWLwQWGvIywKPp24blHFcXV2yqirsesXjZ49JhOLVqzc4gi+eEPDkg2d8+tOfsb67o9utMe0e00+h7ljXBqeD951SgrYNi59po8iK0KjeYhBY7ei6Dmc7rAvG2MPcx6EXyJhBjQ+2J4zYO40zFuctxgcl2ZCkDp6IBw+ogR7iXRARcuOuw2u5IdDHhV7JQ4fRezs+ZHJIRJVHKsUkz0iThN56vAqdzkAhig0EIbjfajb7FN1JrIdOeqxJovS1CIlWbfGdp20127Zm2zRUFxU/++RHTNOCXOVkXhGE6IOHo+s76DXttuaLz1/w//vic7bChE6O9gxSlEElVpLkOW+/vma7r1k+fcxiuYxUzQRTd2FxIKi4emvwkbrkjOP29R2/+g+/4fdvX5KeJ9zvdnRO84u/+Cl/9Re/ZKnmiN6B10Gq2Tm87nFeoFuL0WHAfXW94+uXL+lkj8g8P/qHz3h0+YjcVuzf7KnXBmM8xsJkmjMtSmwb1Ke6fUtfd5i2RZUJMpEU85ST6ZQyK5imZyQ+UBu0Nzjn6bd7Vm/uMHrNNO1DJ8gJjOnphaezHiME3vfUd1t+9W9+xZ/+5Z/w5OKcrJC8Wa2YbldMCoGSGUJ40gywniSTPCnnGNkxzaa0KmHVNtjO0Kc9HodKvl816w9xy5IjU2mlRtNfopQ4ENHPAcyNz6U4LPrHy7g/Sjj8CIEOj/1htlFKUEqED+EQwpEqQZWnZEoEKpCH0ZLnqLs50JxGXzqt6dqAYAa/1UgV3Nfcrdb0xqCSjLOTBZ9+/AHTScX127d8/bXnfuVpGkfX9ui2pe3aoNbpbEh3hAtFrwgqlAGcOhzTcJYeiDi8WyAeKvDDdsiqjpKo44JxiJrHSdRBOv57NzHA/LGYH+ZKBwl/EamoIpxnKSTCWBBB8Rnr6LRl1/TsW40SjsyEsYghYfSAt5am3lHvN5SToL5YVXOqakKeh66ijFQ2GJIRi+17tO7Zrde8fvmSu7sVfa/D/LALneMBOUcoEJ4sTymKnKIsmU5nFGWJSlIGIpy1hzlWazRd11A3Dff3K27v7tnX3SgoIfA8enTFRx99RJ5nsbAKFE0BUQQj3Ht937Hd7Li/v2O73SGAsgh+Yog4G+MatAmzPXmRcX52QpqqUBTi2e93rNbr4CGmEsqypKoqqmlJVRbByiUJipZA7ECGOaF6t6Nu6ki59lERU4x6CZ7wHpt9jRSSNE9RSRLmsIRApRwUfIdZU4b191AqigiwjoKd8n/BffYHtlkT8pLgrAxKeSQD/T4cr5RDCh0lTvzD7uxYSImBhHmU7B/hZuMs9fAUR4GjoL8t2Oxq7jLLaSmZ5GmYL4wif0SNBM+g2Bmeu0FNelCnBJhMJ0ymU67v1tze3CMQpGnCyXLB1cU5ujesVvdsd3uc1sGuAz+qGg/HEQoOj7ShGyOMDM8AgzLyYAI/5GHhWIcaWIx3EuO9dPj5uxU5hxM1fP+oMDy0HxlJFAP4IR78zjuFohDRnmQoAmSIH8OdLhUkGSLJIFqNOO8wHva9Z985Ou1IE8bOsB0okVh2mzCXmOcZu+0OIRMuH59zcfmIajoL4zhRYZj4bDoXwKLtvublq7esNrsjpdVomyMOGIR1DpUkTKcTZtMp00lJnmUkEQAd15lYZA4zgc55mrbjyy+/4auvX9J2hiKXVHnGp598xC9+/jPyLEcbjVSDYJEfYznRuH6z3vDm9WvexI7pYrnk6bOnnF9colTCdhuYDB5BlmWcnZ2SJBId7QP7rmW/a+i7Fm8dRVWxWC5ZnizDGpGmEbAcvGU9XdOx3WxYrze0TQPE7m+8vi5eJ+c9tu/DbLeUwbpESqQy8blJSIQKOgs+1gciKP9KPzAQD4uzj4Cg/I+sqd9bLK6/+PdU+YQ+KRFZQTqZIosJOhoj50WGs6EosVLSe9DeIJUHJ0lVQpIFg9xUZRhtQtFpNCIJb1NKUEhc34OwWA1dr9HGBDNYqSl8x+76msV7z7ERpVJR0t4RFOWkl/RtCy747xmd0GlDmqR4D0XekytFleW4XrOpa25XK5qupZoUnJ3M+dEnH6P4lOvX32C95pvffYG/vmW9XwfVLetJVHIY1PZhCLV2OywJqIJRPtqbAYsbQLnwsB9RBmSs8lWSR4GFI8EKIj2NAXk6zFK4Q3g+IOzOjtEnmHFCVLjBCxF9qLLQkXWhAylFTGCGSCQ8aZ5SlJPgwSgybGJw3lBvdgh/SI5W24abuz3CbkhTy2ya4YVn32hEqijzjLvbe17f3VFmJWpRcfpowWI556Q8JScJ3onagCP4j+32aN1hesO+bVnt9mz7Bo97gJZJMSR/kBUZjTWUJ1Ouzi8oRB4Fg8IDYo0BgvdTu6/ptcY7WL3e8uvffUV3pvDfuCCUgCErUq4uTklJEE4gvANv6XuH7VucCUBBvW64fXPPtm1p0XDmuXp8wmwy4XJ+gtcKrxP2ty2//+ot274lq1I+/OQJqVesX2+4e3tPp2tqvUXMLc9OH1FVJScnFxSqRKLASrS14CXGSLCSrvN0uifzDVIYEDnOCLRx1KanNUEYysiErHQ8frbEm5b17T1lXuI7zeu3b3jveRYWFRuKgaC7JCiKCaZLsR0I4ShKSVEmJImi1SLaevywtpsXX4ZZvCQdjb2lksgkyPQreTBmHmh6A3I7fh4WY3EoEAdH1bHeHLuCoeA01gOOFouwhk5qLlOH4iR0L4fO27t8pWM0NtKzrDFx+L5Dxa6KNpa7+zWbzR6rDXlRcH52yvvPnzCbVJwtp1RlxqtXb7m+ueHm2tLUNX2v6eO9Ho4pdiFisuFj8WVjUXpofx5vRy2LI2DsnRKSByDa0ZffucvxF97937tfxXJgRNcZq/NR5GYsGsPvJVKOQgZeB8Cr0Y5N3bPZdShSTCpIlD+AAITurjEaa/tAMS8LiqIky3KyNIqujIViWL+cs1HsoObu7obrt9c0TRMUCIdOA8PsSVwnVcLZ2RmPHz9hsVgGH64sC2tHRI+tHexZ4r3QdkHEq2kCko9HR8+wk+WCH//kx5xdnIWzLwf13mgYbQ220zRNze3tHferFbrXlEXFycmSsqoiDdnSa4tqLLrv8c6yPFmyXEzx1tDUmq7vuVvd03Uds+mUxWLGfD6nKgvSLAmKv8PsTNynczZ2NFr6aFztvAssGDHMZMmRVh1A0EC7DZ2MMJMrpQz6CVFkauhmjDYo8VwPLIHwnMae0A+wWNzfvUUmKSrJUFmOSoKqohz9BIdn4tD1CkwKInAtRrBmiANDsUT87uHfWCqOFEo3nvfdvuH3X72k9CecPj8frQbCsy/G53SwGguqnWFOeJgXdM6R5TmLxZw0zbi5uWWz3eGBssh58uQxn378MUmi2Kw3vHz9hhcvXnLvbFQtP+4S+rEwEtYgtcLH0R4PI8PMOjveQ8edwIcUd8b/jzlaDGaDcuq4HQW6b0VG/x3fHM7uOzT8ERobuoljjIt53hgLRVBGTdLA7PN9BI8ErfbsWkvTO8pcRYXZhCSRKBmPP84ZJ2lCUU2YTKYs5icU1RSVBtEYLyxBDTzw4qy1dH3Par3m9dtr9kexzh3dLyPd3VseP77i8ZMryrIYxWhcVIc/PmfDNeu6IB5ze7vixctXtG1YB7M04fzshE9/9DGnJ0u8d3F/PjZSQmfVGkO9D0Jw12+vaeuassi5urzk5PSU2XxGmuaxm92z2+7Ae5aLORfnp0gpAtjXB5ZJ17akSjJdnnBysmS+mIduZFRfhQHUC6MIu+2W+7t7dtsdzlmSJCGQRcKx2ggOCzzOBMZImvfh7CkZfN6FjNc1zKnaCGwIKYIP7YBTxPvSP9BQ+U8oFjemY1PvUSJBEKglWTVFJAmm65kWJYnKIVEkWUGWVWSJwhlP3xoS50hUGm6IJEXIFGk927bBpylllpBaSyJc8Krr9jSrW2YnJ/zog+e0mxW7esXN3T31V9fsdht+/JPPSGWBwoML9hbW2ngiw9zd7v6OZrunKEu8BCUFpu5Ik5TFYkq93rDd7NjWe5RKKIqc2XTC1eUVkyxH4thvd5jHntu7HXmecXd9S9M2QeAhqmUNUrpCJaAakszhvQIs3hukGLp9MdhE9AQgOQqGUgQ6oLcOKRM8NpgsA0TPRTEoLPmHscOLoFLqbRzgFiJQVH34nEQPqkymozS5j3NUImKLPhbeafShBIFUU9JyAr3FOEW7ukGYmkFA0FjLput579EZUrQsK4FMFMtzGQyQvac8n5HNS4pqwSK/YDarSL2gFBleB5ECZzXWGlzf07QtTdvQ7zV3rzd89fkr9rsa5/pRIGhYwCQheL/38w/53/7v/wWfvPcepcxJEbGzDXgVimIlsJ2lrzXGGlYvt/zq774k+XTJh1XJ7//6d8izlFlZkLsZjx5fURUFtukxfY9MwEsZZmzqPcWspG1r1s0dbWU4ebzg8vKCs+kZwiQorzBG09RtQMVtC7ng0z/+gD/58cfYu5rr6xte3r4inUH1qOTJ88ecZUukSqmyGZkoEE4EDjsGbyWmbTD1ns52JNMEtRdY6+m8p3VgPFjj6I2ld2CRPL06ZZ8kZLpHppKm7uhsx35XI9JnOOMwncA6QW8cbVcjyHCtpZcdonDMioJqOkHaCud6kvSH57PY3r2N8zuDJ1UItmFRHYpHFT3ekrEzNQyGK5XEWRs10kKGpCsAxjG5ClkHg0iDdhZre7wJNNAczWVOBEgOSOuIyj9ApyMcFZMmY0Jyba1ByjQUizoIm7RdF9BDKYNJuZKkSjApSy4vzuN7JVIMVxg3mDFHcx0RnQaNRWiNF+E8+KMk691tiFMDwn6Meh/P1wyloojxUcQkaOjgDnsbcoSH//mPb8evHQqSI2VXpRi8NSWSJLGRBdOFZ0vDrjGs9j1ZGqiecgQLJEkS9p/EjnSW5xR5YOQkaU6SZqgkRRA9CeP8iTWatqnZrtesVyt2u32YT7FBDE0IRoXA4UbI84xf/PxnfPjRhxRVFbvgKSDwkkj3CuIIu902mjx39H0PPkjeZ2lC32uysuCjjz7kRz/6hDQL6rjOBdAsSOdr6n3N/d0dq9U92hgmkwmX55fMZnPyPB+TNKMNdvDLk4rzsxPef/6Y+awK3T7bs90Hv7XFYsajR1dMZxOqoiBJBzuMIcEekr9oK6M1eB/sDZRC9ybOlkqUOCj+jnNmR8+cs0FAR+vgHSvVIPNveeAfOtwfRyJVYwfnf0kH+w9s2968DvEsSZFJFj6rNNhHyEMHfOg0Sg6eskJIhErCfKxSSJnE5PcAvCA4YlYEeFuM3YsAQDrruVlv8XvBn3x0wWxaIURIbGW8EY5pm95zmMt2A6chxMQkTSiKkl73vHz5iq4POg3TyYTL83POz87IspTlfEGW5XRdR73bsoPR0ojjDldAr2NHTgZ9QHGkgjxamx3O6QBgi6Ogd4hxPOwAPgDCxux9PFZx9L2hJ3v42bAdCsUHENnR98b5+aO4N3hBSYImRZKkaBGVaoHWOHatYd9ZFrOcLFXkcqCDB4XoPE/Ji4zJdEqeV5RlRZYFFU8h1FiAhAI/sg6MoWlbbm/vuL27o4t5ewxw4b7zHi+CSut8NuWXf/bHAbhPj5g+wECFHnxotbFst1s26y1N3bDd7VDA2ckC62Axn/Le86c8efwIKYNXo4zKV4MyctvUbNb3vH1zTb3bkaYZj588ZnlyQlVVJFmOkiqMHXnPbr9nX9dMpxOeP3vCYrmIBWtHXe/p25Ysz1ieLjk5WTKbz0Ksi82b4bWdDbG2a5tIPW0wRo804OM1f/BoHrqoA+VWxZvDx7jd634UZdLGxPMcRDmJrz00XYbnbJjh/r7t+60zJnMoLI4E02t0u0erPZmaYqTg7W5DmsYBYAHKeoq8ojMmiJnkJUoF9EqWS/JyRpZnzM9PwAl8Z+jWG7bdlixTqKxAzpYUecHqy8/xuqazHV/da7xo+C8++8/JKkVXr8kFyLwIHo0miI/UuxptNOfnp9ynGb/99a+psCgD7e09ydmMvMq5/uYt37x8Q6878qSCpMCpiptXN4hpSWIluATtHJP5kvvtFpkq2uh7l+d5fDAF2ppoqdEjXZj5EElOJnLwDt07gvufO3QZxUHeWEYqFJEW5JwNtNCIEzkfRDMOCm2x2xiDQBpnJQ0gnMUT5h+ToiBLM5SQCG8DrcIEVT4kCC8JptYOoUSQcJ9MSFWCrjus1shO47QllTlCFmhXh0RGClzfc7PecXW+4PJ0SVVKlHCgFNZKrLRURUWeF5wtTyjSjDLN8EajvMPEjh3e4qPKnSwTrJWs1nt++/nXfHX7lsZqrHcoF+h5kyRh10haa1FInv3oCf/gz37BxKdYbZBKoTuNSgTGdJiupWt7dqua+7s1fd/yuxevuPizp1yeL6i/aplNJnz0y/coTYZLU3703geUssS5HissfdPT7R3tfkfTbtlvG9abNfIKPnr2jJPpKUVSUqkpfRe4+c6KkWYmqoSf/uVP+bM//Yhk1XCz2qBTy/Sq4uTxhEeX55xOrpA2AWcRvcRELykpHAkK3dsog2zpbEM2LzDdHFvf432PEwm+B99rnBNAKFp007G5ecOTn3/AeTZDW8ez9y64u93g2g5nc3ZbSzn3zJDsNw0b1TCfVqRZSdoZyrSgqib0+4Ss8FSz7HuDyh/ipsbh7nDOQ0MnBHN8sLWAaBYdrQUGoEapJFjppDkqTfE4JAlSuhicD4Wicz7QoKIHn7EGYzu86cFqVBKEGoIAShTpiLS7oHhKDPDRyywqJQ9+fm3XYp0jFWGBb3vNZrcLC6QMC6QxhrY35LmjMyEJSNOU2XRKWeRHqONwRuKi5QQIi7AW6WwstL6z9Re3IVl5qBo7FosCiF6UoyJdpGKFDtcxAn9Imh50Jx8Uj8QE/xhEFzGvOghYDAWrlHIsFMLfK3yakaYZnVRoH2b79p1lve+ZljnTSYpMgzgNIoAJmVKUVUWW5ZR5QV6UwaMty1BJNhYvRAqk0R1tU7PfbVhvNuz2oZM7JqvDPIGPDBQEQng+eP6Ev/qrv2S+WIZOgEwCyBiLT+89bdtwe3PD3e0dVmtU7LhVVcnTp4/Js5y27ZhMp/zRz3/OyekJ1jukF1jd0/ctXdtQ7/fBuqeuyfKUi6tLlsslWRbmE4kdFmvDguJcUAGfTCd8MvuI548vmE9SBAZjIUkSrq6uuLo6Zz6fopSMwmuHJHDwJNZRpKnrO6w1JEk4v46g7lc3LcbqKJohgyec1iEZIibuI42SqF7pkD4U04M3X0DpD91MqQIF9piOObJ0fkibd3ijwzkwJthSqQQzqGY+qPai0voomhGKRakSVJoeMTGiD6ZUQXhurJoGewkfu1zBeqJvapr7Oz7+6DGfvPeEMs/o2z3OhBngQRfDxYIiqDwPojIhl2rbhu12y2w6RQrBerXm+uYW54Pn9zD7GuiCoLUl/PlAWbRj8TkC+Z6YiIO0DqlsmJ30cgTlxg4hISod4swANh4zGo7Ku6Pq8ogb9u3Lw3cVhd/1+w/3T+zZDvf/2GE8/j9DIRmuV5pmdEmCsEHcrjeeXWfY1JoTA9UkjCTlnii8JZkvZkxmU2bzOXleoVQWWTfi0Kk9esZC5yzMOt/fr9nt6sDMO9xiR/mwpypS/vyXv+DP//yPqcqCw8ynC+tFjBPGhhnIu7sVq/t78JCnKYvZlA8/eEaZ57RtT1WVPH76mMViHhgTYwEVGCH73Z7b22tub27o+57FfMHl1RUnpydkWQ5CRnAgxI6+79hudyglef78Ke+995Q8z+h6Td+29H1Plqecnp5wen7CdDoJtNN4BQdbHzdQmo3FRdCjqkq8gK7tMTbkxuH+D8+kdeG4vfeRLRgKfkekqdoQC0PTCdrI0gzgmorxVsW1MNRtLopoevefYJ1RTKb0dQfGUVVLumyC1jXCwOLskrbv8caEm1EqOq3prSXPJ6hqgasW5LMFmUxJhaIwlsx07F/d0FtBL1PK0xOSkwqzX7N7+5JcOro2pxdQ9zWt1Xgl+T/81/+Yn//4A+h73r56w/3111TZBJGW1L2jbfdUVYnxjhdffoPwno8+eJ+3dzf89tef8+v/8Cs+/eXPkJ3j9uae680aYyyZdwgPTd3xd7/+W36HQagE3TmazY56taHZ7ANK6cJFVSp4ckkVjKmNN0hjyUqFKoI4jtNh/i604sPD6uLckXcOmUhUXpJPFxRZFuZL9lt0D8H2wh+kmYXAiwEJDciQShQyyUhESFxlGrM7GdBdgQg/c+GBQiQROSXcFCJ6VylBkRWkaYrvLD01xmq8z1Cio1qcYawkK+a4fhV40JG7v2s6vn55Sy4ks/yUxaKkvt+yXa8wRcr0ecJsWjHLw/UXfRfUJT143cckNwRtbx2zcsbqixWvvrxm6zpsIhCZBC1RiEAHkZAnCQZ4/icf8p//1X9GKYog1oLHao3VDS4WbU1d0247Xnx5zav7t5x++oif/Ys/4my+IKkl//Pq93zwp8/52YcfYFeOr6/v6eqe9d0eZSzWdtiu4f7uHu0atvWeTmoe/eiCxeSSxfSMSb7EdxZpZHzgDKbt2ax3vLxd8fQX7/P+B5dkdzXr+x173SLmlkfPHnF1ckKVzEllRZmmmLZFO4e3PcZ0oaD3Kaa11PuWetfR9Jr5ac70/GP6fUvz8gv8Zo2xhs70kOTYPihy2abn5MMrnpyekfUBBfYrS/dqQ352gbSGpm9RvaJUCXmiSIqe5ckEowt6YZkuUrJkQiOCclpe/PDQdpmXY5drQIWHuY+B0iOj2ljoHobvB+pqpOqkaUhYZQBiPISZmAixhrlCg+k7rA6m7U64aINhUcJT5SmXZydMyyogkQBegtcBMCD4wnlrosqyid2Tjr5vg+pZ7JIYa2nalrZtEYKo5GnY1jXrXYPKSrrO8vZ+w269Qvd9VJULM0shzgmEc4EhMRQy3h0B4nHuY0AlI2Q+dIqCUhuxOFOHYnFUiR1yhgGtjxTBoWj0B6XU0QJzzJHeuQ+H6xdToiFWHorBwwzPIMxz8FsMRYFUKnYDE3wbrlmvYdtoVo1mbiUTlZOkMtI/HVlRsDw5ZVJNKfKCPM+Dd1uajkmvx0X6Vs1+v6XebdjvtjT1DmN0kOL3hwLX4wPjhEDjqqqMf/APf8mPf/IZMk1DCSkIYwbW0GtNU+948eIl12+vsdYynUwCKp4kSKFYLJZ89N57GBNsfh4/e0pR5ngPfdfSNjV1vaOpg7R7miYsHj9mNg+zkTKOLIzXxAu8E2GWzHi6rmdSVlyen3B+OiGTAWRJE8V0Klgu50wnRXyODsJQIkgSghdoY9BdT9c2tE2D954sz4MabVlSVAXr9ZbdLtgC6b4Pyph9N9psMCTvw03qQ9ExgBJDUhXovRHwiZ3LNBY+8YaKYyM/rC2rpmNHZ4xv0XT+gSK0kNEqR41d+MGK4SC1H7tfQ9fH2XHXAdwOSWgoUCQWj7cGvd8zTQW/+Ox9rk4qTFfHRLcP+5JJtGeJPq+jgm0Azfqu4+7unu12w2IxRyrBZrNmt92AD2NKbdfz8tVrRJJRFCXaGN6+veH2fkXbtiEGmzga5X1QTRVDby+Khzkf1P6Fi3OysVCM8WfAqYYYJ2T0HD8SzAHi/NjxPXn0MX7j+Gtx9O/he8diYKGOHCR0OIBmsSPqh/lsESwzDu8lgnUyDf7OKkVIHYAs52k6x2rXs9j2TCclVZ6Q5XmYI0wz5sswd5dmxUh5HKxnjpkmPlLZ+76jbRt2uz37fRNViweFasAevCpVIvjk4/f5F//8n/Ds8aMRbLRumNkPB677nvV6xc31DbvtjtlszsnJCUmi6LsOJQR5mtK2HR7BYrEgzbOQr5sg4maMpq73rO7u2Ww2KKV49OQx5+cXTKczsiSM0A3H5aKoUtd0WKM5WS6YzWfMZrNIY7UgJbP5jOVixnIxpyiDsBnDlfPj9O4DUFMpRTWpKKuCRW+o6zrEue2WruviLHoEGYRApSl5UZDlgb1inB2tXYwxCBmoxX0fGlwySUlIUFIF+rlSUW06qHsra8fr8vdt31ssJnmBMQpta1zfMT05w3BC33cYo5iePKdPC7zxCOkpqhIs6M5S5AWpEJwkCtE3vH75ijtTU52dYZKCfLZgmglUs0XtDeubV+y6Na5SnCwzVrd3SCBXiufPT/hn/+AXJHWHsI5lkfG7lxu++N3vef7sfSYnZ2gKXrx8zSRNmZ+e0lnLX/9//y2Z8eze3pI9OeOzP/s5tjfc3Kxo+z4gmEazvr/n+s1rslyRSYVvHdvVltX6hqbraE2H0RrhfVhoRSj4VPQcs9birUGq0GWw2jAI20BIqFycKQyIgCTPizhwCt4IfA/ShWTUO/DShE5ApKkmKkUoImVVIJWIcyoxeFgbqR4KCeiuYb/fItOE6PqI8IKLaQa6477pSVRFkRc459CdRggzdKkJEsAtpl6Tzs4pJ6d0u9fgOxKlgtehtmx2LW/e3pGnOakR5IUkm3iSScqzjz9gOZ2QSELCaUwQlPAW57twLmVOb3p29xt+87vf8NX1HeZccCJPSX73NUVRUHsHRuOIgVglONvzk598wo+ePmMiS6RXSBfkkW2v2W3XmN5R39Xc7Tdsy46P//QDrk4uOKsucK2nl57W9Hz64w+ZZVPWdsuzD55zdXWBMhJjOnTf0Xc1vehwE8HF4zMWJ2dMkwqlCtIkR/mMpt3TtBtkKrGdpdm31I2mTQSXFycsreJmv6NdlGRe8OyjKZeTBZnNaTc9omjJZyXOh7kNh8eLQHvwGLz0aAy7tmXXtEyzUyYX5yzPZuirD7m//obVN79lf3NLXzu2+5ad7vmfb9/y5//0j+nftPRKIDtorUZMJSkuqLwK2Nw3uDJBpilZluFMgW4SSCHPSsq0IBXBX/I/Zt76h7glZQnEZCB274SQoA6FYqAgpshEBSGORKGSaGh7TOmAkTJljIvAkcGaHt0Hap23kSqtJKjgP1ZmCY/PT3nvyRXTKidTMKQLLnYiXVw0re5o2zbMc8UPrXUAiYYZLikCTXCYY/MOaR1N07KrW7IiDNR/8+I1m/U9Cmi6PiRFRwtzSC6GWZKD3xkDn+rd5HxE2w90thFxj8mUkIdikSHh8QeKUejEHbEx3lls48t8u3A85mHFoxiTtqM/HJuRw9+KiLVJNdKzlFKx++toWs39tqUoaoRULKYFeZFQVBnL5ZKz8ysmswV5UZFmoTurlIo0rEgPamv2uy277YZmH0QMTN8Hc3Eb7xUnQpLHUUGO4NmzZ/zjf/yXTKYTut6O5y5YY3SsV3d88/XX3N7eIoRgMV+wWCyoqir6mwXl1r7t6JogcuOMCQmzc7RNmLExWpOkKdPpjMlkQp7nqGSQkz8qCobkWICznu2u5u52TSIlJ/M5syoH1+GMIE2SoHhaVSSJjOfmaDYurovW2miFEDqbXdeGIi7LKfKCajJlMp+yPDmhqVu2uz2bzYb1asM+qloeOtRxFsdFMRJrx87O4f4NBUySpqRZFujZSTp2ggcvzh/aVswWIY64IakfrqWKncIUdUSjTtMkFtGBfqpGhWYflWlN6O4ai+5DIu1sUIT0NhQhUh586byz5Knkx++/xx//7CNSNEa3YHqs6bEOtOuwxo4dMTemOY7tLtKj12ukSjk5PWMynRKhh6gsL9jtar744kua3jCdzen7juu319S7LabvMTqMpYQOmB/nfgdaxSAoImNnxw9VcIyLI44QY93w+uIIEBtij/M+MsaGgnMoSo8oHHFfD7741tCieOf3xKFI5DjWHT7G4pDDGuUit1gmKSrNMH0PLnSxOuPZ1Jq39zVFnnG+LEkTRV5NmC9PuXj8lOn8hDQtkCKJxRAIN3TtQ3dL910Afdo6KBn3YeZ46OQjDvY0MgJ9WZbwwfvPePLoktDtCuM0Lt4Axlj2+z0312+5u75GSsXVoysur65IszBP6L0nryqmzqOSDOscRVmgkhTrQs5v+p42AlJCwPnFObPZjOl8Rp4VUbU6Fr+OUdXV6MAWU0qxXC6YTKpg9ac1ApjNpiznM2bzCXmWDstjAFmPLqOPRd1Ak7fGoJQiLyaoNOXEw2ndsL5fsV6t2e/2tEPc9i6wmdJAHQ8vcLhfMSbYEQ7ztT5AoWG+OyXLM9IkQyahvhgorb39TygWPROKaUI+lXSdptUdVVGQVlUwE9aWpQqGuF4pElWQ5hmiMLS6Aw+tNtBrqvkkdE+yEvqW5u4r6r6h62q0aWjrDdb29HWC3m5BCPJJzmSe8V/++c/Ju5au7tBdQ+M6rj54yvzpIz7/69+z/9Xf8t5HH3N2ccqbN2/RNze0my2zScGXL16ySi3/p//z/5F01/Lyt19RXF1SLha09zc4K/BKURvNXhtkkeGkRCPZtjVYA0DdNJgBkZQSow0yC4qAFg8mtKCF7EIQcP7BuRRSouJFU4kCZ7E6qKka34fFN5GkZKi0CtSNuFDJ+HfGO7wXUaDxEOhHtMl5rGkxztHpLgYig5IJSSJAKm5WNV63aGeZZgmmbxAkyHIafA4J6I4XAmUdIkkgiQiUSBAiGNOreJO1vaFuet6+fgtS8vzknNOzBeJ0zrPLZ+Q+QWrAGpzTGG1IpMRZ0G1HX2/QvaNtHP/h95/z/l99yEzkvNi8oEwk+94Fnznr2BlDZ4PBdFlNKcqCXKVxYYLeGpQX9DtDvaqDYfR2TTc1/ORPf8KTk0ukSZBGYDuPbjsePVpSlB65s7Sbjun5At85urYBDB6HtpbyZMLp40tylVOVU4QLHVyvQ3BUqaRtLa7r6Fc9bd2x3e7xAhLj6OoOM0k5P604ny2ZKk/mMpz2ZJVESo1p13jrYsEvYqdF4LTFdBZImczPuN7uaNueZteSTSdImbE8f5+rDz+m0x2r1YavvnrBb/7671i3Nxhj2CFI+8Nc67zKcZtbmIR5u826odeGrBDkoqTzgs6B9EEcKUszlFRUpcML/b1B5Q9xE0o96HQFdFvFuZzBpDmIQiRJQpYq0jTSOgBcoJSY2O0zWqO7LnQ+uh7b9TjdB7VgFxZBKSQyVYhEIfOUpEhZTCdUWRrmc4ciJipbtk1D03YIH+bSuq7F6h5jw8C9tQYlBSrJyaJ3U5oohBrmnV2k5YH1Am0d292eu/t7Vvd3JILQzYFIKwq0PRHvxfD/A2pM7P4NCYr3B4T7odCDHL2gpHhoT3IoLzkU236Q2o8dpxjhjvOmd1P4d9hYxEv5ELx/+GNCshY+D68vEVHQQY0JsXU+nKt9hxRbjHGhuz+reG9+wtnlY5ZnF5TVLIiVicByCMmApR/onc2Ott7S1ju6tsFafVADdOH8EQvFcJ1C90slCT/+7FOeP3tO32sQSSj0TI/tO27fvuGrr79iu91STaacnp2wXCzI8iAMEbC2EHv3uy3Xb25Yb3Y0nQ4CJzIIgQkhKKsJWZZSlmUoMmMRLWLxPXQAvR8UCD110/Lq9TWv3lzz+OqcLEtQUuCRoBSJSMizLI5TDPcKYaBJBNVEYwx9G+i5bbOnaeogsOM9sutJs5wky8izirKaMpvDUmuapmG93rDZbOi7nrzIAyUcjxlmPmOSPBS6Qg2dM0Ga5qR5QZYVpFlA3P//7P13tH3bftCHfeZcbfdy6q/ffl/T03tPQhKSQYAlAzLgYBOKIRQFJ8QkgxHHMGI8QgyMGBiEDNJw4uFAggFhmRKQqQqYKlAvr79366//Tt917VVmyR9zrr33Oed373uyENK7mp/3zv3tvddeZa/ynd8+m3Q6muj0B4ys03XRbrPt+PHp4nFCnKTEWYskzUgyJ0sSH211T4hrqOUMLOecravKzw23QlUrdF2ia991VbpISLzeXsLesMcLtw5pp5FrbmhcanskBMpq1x+gKBFWIOMYYy1FnnNxfsHJ0SnLxZw4StjZ22F3d9eNT96BJ7zxUlUly+UCKVxWxXw6ZTI5c6m3Rq1TUG3TlZONrKHpdmqa7rmNvLKX5Ukj6xr5tm0oNv+Cm5/6krTbkkxXAo5bm2ZtDF6Xltdfru/xpn5SenkiLstN6+rfpJCup0WSUcUrbKXWTqFVZZjMS1rJHCksg17KcDTkxu177O3fJGt1kcJF3lzGiVk7xcqyoFit/DyBJUpV6zn+kjgh8qnd27XuTfp9pI2bCghD5W0IY1wvhrquWcwXXJyfs1rOabdbHN64wc7unjMEdTM2OceHjBKEdB1Cpc8Y0Mb4VFHXKb/tMxY63Q6tVtvPVetqOF1k2U/T46dpWeYrlvkKEHS6PbJW6rJ8jKHXaTEejRgO/fQ/PrXTms2Vd+O5SyVVdcVqlbNaLlB1TStzY0crTkmzFmmrQ3844rB2/S8WiyXz2ZzlYonSLjtEa4O1NbV3OF7KovHZQdL6mnrvBE18qUXkI6faaCJjEeta4Ofz/pFFVZNkLtVGRhErJamKOdQlOkop0xaVVbR7IxIrkUahlPChzwqqClsW1PMz6uU5RBIlXavmRb5ad5Craxcqdr3CtWvGIAXKGqKq5Is/+gVOP/s2r94+YGdvyP6dPfr9Dmkk6VTwfZ/9IlNVsD/aZf/GLeZJxBcevMPpw6ccnV/wb/3GX0P96ITFZM5kVSIGI5JOF3N+ghDuBk7aHaJOH9lqwbLg7PiYydkF/X6fuqopynI954kQYl33IKTE6ma+PdeIBZlgfdtgIZzS4aYF0V6Q+WL6OELGEZGMXc1ibF19ihdeutY+9cqlX1pjkFY2koEmx1srg1KVmx9NuVSypmMqbjzGSkGcJsiojRA9EqPdNqRTktM0RWiNMgqNa+evjJvYVgjrw9YZWpVOkfVRCy0thdGosuL40RErZfnIN3yEV156mZZsI02E0TXGKFckrSq0hXy6pNYVs8mcs4sFCsmtT97loN+nU7d4rI9QCuqipiordw3qikopN4+jFHTbLTKREFuBsIZiMqNSFdOzCU+PnqB7cPNTNxj2eox6O7RkHwTUq4pq6bqDSmkRpeX0/hlvPXjEyze6KK+s1mWOkIbW3oBuv8ewNyLSMamMsdpia4tWFq1r6tJgNahKkecr5vmKk/MpRxdLdu8dEFsNiaAVJXREArXCSEuc+o5jUYLVFqM0QtcYkaCUcdub5Dx694RVrOl1U4b7HVRR8ezRA/ShYdzdpdYVq2lFJC092eLDr73Ohz/0Oqfnx0SRJhKGarpE6poHX3wE+xkv3NpFm5g0jUhTgYpq2oMu3WGfVLSpV4o4tiQydvnuMiKNY4z44E2dYbV2LfjFJvIlok3DGhdV9GkcMnLfsYD23fmqxjh0A6QuC+qyRNUVpkl38k4N6xVuIQWRipBJDDqmlJrZbMrJ6SmdyDDwKSxWG2bTGcfHp5RlRbvdQgrnNNFaUZYVZVFQVhXW2HUtWJOuEscxTQOPpglLkmREUYIFdO0MUWFdrZjW2nl7pZvLVhrprrk3ZlzQz3kym3qSbTbj1aa5gvCpWWsP+PqLsBU8ZFtduqRSNVEhLulH13d8+QN/cTcKnvU9ZhtDsTFAhRBuahAJSezSESMpXdMF6xp6lRUscsCnlAok3cGY0e4hWbsHwkUS0cY7DFwKcFWWKOUyFMpVjtE1buoi38RgOy1SCDS+NkVpJII0i7h16yYyspSrJcZCUZTkyznzyQWnx8esVjnj0Zj9gwP6w6FrQCOkc2CoiqqqyRcLLs4nPH16xMnJOVbGHNw4pNvvEqcxiXAKRBLHvnaPda1O49k3zXXw9TtFVXN8esGDR085Oj5ndzz019uCFCTSRR6iOPLTXDTdY7W/Oj5Vrfb38MrN7SlwdWfWso42CiFJWhlJ7FKosjgjTju0O33Gu/vOgRu5CGrtG0covRnnLt0fwjlrkiR1RkycECfxVu2V+5L8ABqLTYf4JqrVGEU0DjKfXuTS5p0hp9g0QDJ+/k6tanRd+4nEa5Ry0TqjKnePG9eNVntnhKrdn81iJrrk818oiasVL98cM2xL2qmLProJzStm0xllUbrMKBmha8VitkApRavVotNuMRr0sapmlbumSEmaEkdObum6Io4ibt68yWAwZDK5cNtTNdo715rSImB9LoB1tAZfJ76JIopNivw6g2LbOGteN4biFUOteWEA7Na91uRX+C9c2unWipc2cjko2cz3st73do1i4xDz72WTFCIjP394hKZJxncR3FWpmOUV7aXrfHp3tMv+wU1anR7NpO6Noaiqav2crla5d4ZpsAYh/LiTuGcMBMr30DC+YYzWbvqIWAqMz/grVoU31AxVVVMsXYQSYO/gkJ2dEf3BkDiO140k3UwFbiJ7bQxlWZGvVpSr0k0nZRR1XWMttDtder0ebZ99Ib0u7OSyazRm/XEWq4LlMufs/ILz8wl1XdHvSzLvYErjtqvl7PXcPIfgHTLeWPRTtDRp8LWqKVcFi+WC1XLpShSKnLqu6RtD20KSuU7aSdYi63TpDgaMd8fkyxWrskRbl1KsjUXWtU8hF8RJhvQpppF/rmUcO/kWxy5bw0f5mzHayJ+hsbiqc5DWzftERK1qrIyJBz1s1qHb6ZOJiEiArWvKfEJkFJFWqKpiUS6oizlFMUMKg0wS2t2MUbvF/GJCv91iuli5i6zcnE5pp4MqK2ytUZVkOrf8w3/8w+hK86mvf43XXn2J188XUK340Kt3efvzb7D34iHp/pCLZ+fU50/Y6+/wS775G3nr1mPEl7/MOMn4qR/4IWSrxTxq0799jxsHN3hy/x1UXRKLPqmMOLx9h8hArqdUtWa5cK1xC1+0qo32Jz3FKLXOc28ewrosSVsrhHSFwK7htHQeBtxciDKOiaWLUsRR4tKqhEDEgiSGJJJURb2ZzaKRHU1aU603U2sIMEpR19Va4K09ZBanLEYxUeI6omZxsi60bSY2bQSS1CXC4qYrERD57RiAusZS093d5exJTiRqpA+ra6XIK8kikqTCsDw/5tX217E33kfaaJO7rjR1paiLnKrQnB6fs1IlJhWYYcRod8zNSFIvSlarikQmSAR17TwmpVJUWvlOZNYZRZ0WstbMJuekScLp0Rm1qBFtSe9el/GNMTuDA1qyQ2Jj9EqhS0WxLJheTFlVhTt3heLtNx/zhYf3ETd6vHDnRUb9ATZKafXaDHsDYhsR6xhV1q5IXkFdV7i5RV0ee1WVvvW+oqo1Ra44Orrg4HxCOu6RtSVR5J6DqFGkET7jzGK1oK4MtVZEWYyIUpRSnBxfMInn3L43QJQFvZ0dpGizOJvy6O03qe8qBr2BS3esLRfnE7JBm/F4hzv7N51AlqB7lroo2NUdWrsZg/6QeuXOaW/YQbZihsMBg+4YqduUckkkFdYIjOsuQRwJjHhfsfG1iXG1ylImvoV8tI5AyHWzGekGU592ValyozBVJXVRoOoSU1fouvaTkbt6XJrmJevokUAY6bqbYcAolmieHR3xaVtzcjRkd9Cl124RCcFq6SYz73S69Po90liuPeeL5ZKL6ZSirJAyotN186XKyA2iTTMDYyxpmtDpujnJOt0uo+GIOEmd4VlXrktd0wjLTTAG+Gl51h7uTToqXpleKzpbCs5akRKblK1t9adJ62qMwcYw2SiyWxM2X+I5Hvb155sdXbEN3Dn3x3Qph8wfhZD+efTNVxovc2MsKW0oK+UMGWHZ2xszHO+4ucUiNxexqkqMUb5JzNwrTQqnyPgUolgS6036lmoaLmzO7jpqJ6Qgy1LiWDKbXpAv5qxW3nNfVVRFSRzH3Ln7AuOdXVqdjptOQ0ifflw7pakomE6mnJ+ec3E+5WIyo38+QWu9ntsubmrSmlRTf+pN0xXXNom9rtlIXStm8yVHJ2ccn54znc1dNMincAnhUlA39YmsDVCtNBiNMa6RTVX5KLxyafFJmiIQaOsCkHVVIYQzAkyqiUxGM9+njBKyLCJr+Tpb7LoWXje1PP7u2J7uoFFiozhxx9l09fQ3jxUuIvRBw0W9AF/36pw/vnGed6YYozGVoS4tGA1au2i2/9f6tDzjDQJjvSHpG24J133INd5QrmMutgC5IBcwF3DxyPD04SO+/vV7vHZ3n0ErQhnFYpGzzFduDu1I0Op0GQ67tIYtdsY7LBdLypXrHjm9mFKuVmStNnme+0Y70WYKGikZj0Yc3rzBxcU5b7/5FnkxR1cubb/RpfANCJsGW7DJcnDOJidbmlr2jaQRa0fc9tQZlwWewDUT9Bqd9ali1j8nTcfp9b3mLbkmm8Nvo5ly5GqH3ua5clZgs9+NfBNbOipsyWTX5pUobgwlsTZmNILaCEqlyUvNThQz2tl106o1v8E3gKvrmqpYUXi5VNcVAheAkMKdw5oaIQR1pSiKkrquXbdj5Wpcmyl/DO6aaeUatjXXQApL2krIWhmtVot2u0On3SJOnMNT+OfdaOUc7gDGMrmY8PjpM4SMuHnrNnEsabXbJElKq9UiSzPiNKFJGfYpD15WuCBQXZYug2Ey5dmzI45PztDasFc7p8VwMKCdJXQ7LdfgzoIybl5vjPZOE7PuvFrXNUUzl3HlzksUxWilWMznvlldRafbJWu7TqxWSBeZTVO6UtLudd2UhRaUMdRKu6mRjF13QjU+K8aC1weajsebqXE2spCtWu3n8/5aX9JCdgYkUQtNxI6M0CJDSEMngVgbKJeoco7WJRenR5goBrSr0akLhC4wVqGFROoKoWuOlitKrTBlhUJgoxgSCdbl18ZZgqaFriqwFSZJEZHksSr4hls3+Xvf/w955603ePneTZJOwnf8+m/n7r17VC9WqLLm6f1nFE9myOML7nZHfOnHP8+P/8RnaA37ZPs3kLMVS+U8l3VdUaiaZV6QRTGvf+w1Hr71GPmjP4Exgtl8ziJf0qSrJ0lK2mpT5kvfTa15jF1dkapKZGQRcYq0FiM0QsYkcUbTvMFNeuweSlcT5QSJMQblu42KJl0H6w1HSwJoaV0dnVJumWku+JbnXUZrT0KcxMQydel04CKfXmmK4xij9TrVTrgCG4QBrSuMEQgD6BosDA5uUeaK86M3XGqHsAhdIwREccxAQq8dcfP2vltPGmfwrSqW+ZJ8tmB2fsYyLzirc4Z3d9jd6bMz3KVeGkxRozPJ8dNT3nrzHeZljpEGI/CpexvlMmtnRCJiMV1AWTHYHXJRLqAnuHXjgMNsh067TSJ6WBuhViusNFSqRuEeRmst9bJivsh5fHTC2XzC0dkpk3LK3q0dBukN0jilJTN0WYOp0bZGrQrQbn4eKaAuK4pyiUYjjGBymvNjP/kujy/mPMsvaL31kMNv+xj74z47/R6ZldjITciKdl1hlVXUpWF+MWdV1Rg7pyjBxpDcSPnI6IDdTptqqihEQtwdIGSb8ughX/jcp/n4N34z7SjxDSUS6sWCut0izbpYazClQimLkoK7r76EUAaQGGmwpqDd69HuRrTSFrHsgI59Ot5lj5iV0rXX/4BhjYEIbxzGG0OxaTmOa8ygyoK6WFEXS1SZo6rCD1AKq5uOYubSZM9N6p5LbfUSw3cIde+biY8F87zg4bNTjo9P6SQR/VbCoNuml7UYD/uMx0M3p1gsKUs36C7zFY+eHLEqSpIkYzAaMqgtSZKyyEu08QqB0n6i4x79fo/eoI/Ris5giEZSeM+/q6/eDCL4gaXJ6NsYjHbt7Fobkz5atq6S2UqLuXS+ved8E92AJgVsrbQ9x1B8ruq+bRSudbQtZa05hrUid+lIcMaPV8a8MSmjiCh20yRpo71+5ObFrGrNqqxotTsMBi6SpqqSerX0KcIly8WC5XKONZoojlxKZ+TuLaRAKOUmx8a1N1d+vkptjStt0Abjf4W1ltl8ytOnT5hOzp1TMk2dZ3xvn8FgxGA4IkncNFWRdxJYW3sDtnLzh52dczGZssxz8mXOfDbHKL1OC3YR9Gg9l97m3DZpWf4arZVEZyxOpnOXTTGfM5st0BqM9el3cUocCWiau9nG4+6iVnVZUFUFtXb3nYt+S9/mXSKNixIao6iqAitcjZysFVGcbSIcPkoCvq4/johw84oZf06blMums3hTV7qeP1U0c3CKtZNAPP+O+5rGZURFvoGXdAldvlOy9RFF09Qi1hW6KrB17adV2XLgNE4dGueRlxu2Oc+417oZu63rwi7dVC9IgRZwejFHlTnlYsJ0MiGJIu7cvsnt24cM+z16wzGdTheEYDlfcHF+wdnZGednZyzmC9pZxs7uLpU2COGyQCwaISIXoTeGdqfLwY0b9Pp9Tk9OXKfyZqoa6/SoTQ8IX6PdRF3xTfku3QqXnWKb12Ij+9af2svyaPuestbXFDZvtx1eV3e6yeO4aos2n4lLxyUuHdtml8ZNfSSdM1BI4R2lsTNshDsmizdEjHHRrXZnHW22fm7XuqrW2RN1VWGs9bW/0Xqu32bucKMNi8WSfFVSK9ckUSu9mXlTCC8rIz/PqUE2XZPbCbHvGxD5bryuVED6W874BjS+S7hSzKZTHjx4yNvv3CdOMz71jb/IGV+xK6tJkmTdLdr6EygsvuvypllM6Rv0zBcLJpMJF+cXlD4DZ29vh3anTbedkcZOFmmj3T2vFdYoTDNFnA/sFGVJXSuEkHS7PeIkASFQdUXhp8/QdUVdLGl3+37+ynSzbWPBT+EXyYjIQpxaUm1c3bu/B7S1SOPsh6Y5XxN9bO7L7XvrZ2QsyriNKgydVBNJ3MTlKncF+RhUnbOcnaLVkghX+GlbXbrtEQpJVS38cUiXllN5L19/gJIR1arAak0Up7z+0Y/x1v130Ms5Io2IdvaYzOd0S4mI23QPhnz8E1/H9I37/ORP/BTTasHT5QW/6/f8Zu699CJ3x4esZjPUMkd2u/zzH/4MP/SZLzJXmkVVk3VSdF2xM+gyqw2V8Pm+aKqioigrhDS8dPcmbVJ+KOtgtGVV5sSRpNVK0StF2m6TZh2K5QKDt8alGxhdW94aJMTGgoiIkpg4yWgm0rQAsavbsc51QZS6fHtV+SYuNELDyQGtDGC2Omz5CKC/sRsvrrXW1xtkbgJObyAK7zVquiUBGOHSKKUQWKXWxa3GuNbVUgri/g6ylSGUwtoSKQd0x/ssZkcspqfEkSROJLUyKCRGxuzfvUm/08cqy6oumC5WLM4v0LZEWcNxPUfuJuyMxtzaP6QfdV3Ers4xSqGKmrKoOZ5NmVcFFtexThnj5tL0w1NdGfJlQWVKTLGkOC3YubfH4Y0dMpEgrSRJMnShnVEmY1RdoVYV2iiwguVFTlGXXMymnMynFGXNbDmnM2i5bpQmJUtb2FKtPf5pJKm1orauyYRSCiM0aTuhWFqmR3OeHE84tZZTU7FSOY8fHvHw8Q53DzoujdhK15rbp3LVRUVttE+fqlmtFlwsVsxUzf5LO7z64k06JkYUBVrnGAy6qtFa0uvsMzmZ8dmf/DSvvPyam78TyOcVTx99hs7BLrdv3yMVEQanZEY+faGuNaWyGGHIOm3nZZOJaxAAtNoJMrZEwne920r1+KBhfRS9aYzZeN2Mrxe0yqXaVHlOvZijyyVW+3QrX7/XpBytB2mxqRtp6llYdxps2lfj63pw0xAJV0uoqppiqZhjmHVaHO6M6fd7zmgBN7erUKyKiuPTCx4/O2GRF645ySyn35+TZRm1cqk41kdomvkgo9ilo/aHA24cHvLO210nj6k23vS1Ynh5WHEGwyaOd2nZ87SY9dOzZftdstnEepvui/byF9drc/mzrUVWbHzvbvBv1DXf2ZDGCF3ruTSq1XrL/rkAXDqedAqUy+SxzltroCwVWeIG+nanhRBQlCvK5cI58nzjBK2VS/2JfMMbGeEcCQLf3xmjLWVRU5a1b+xhqbVFWwEyBglJlvg0aDeRdiolw+GY0XiXdqtHkrZJU991T9cuEqcUZelST+eTC06OTzk7vWAxz6kq5ec9W1Er5XoO4FRarV00zavL6xTFdV2XtutGS6ui5Ox0wvnZhNWqJF+tuJhOyYuKXn9AJDTN5NCx9KUY1oD2tZxFSVWuXMYSbpyKYj99RdQYgRppLMq4jqfGKupIIaOaOK5dN0afNh7FCRbhm0G6zB4XbGnmTbTu4WbTWXzTHVe4j6PLdV+ReH8F6msRo2pkDCBcPqJ3HluBT71zHWmrYkVVrjBV4Xo3WJcvxfr52o7xuwiksc6gbFI6vY3ouqrGEWmrRaeTkcURrRj63Ra1sDw5mzA5PqIucl59+R4vv/oKd+/eJkliEDF1XXFxds4bX36Dd95+l/lsRrEqMNYwGu/Q6g5c5qaUWOnSr7V/VldFhYxjBqMhvdHI9XQoXVqi61TcdL0VV37RVrbDRsjwvoaiHzcao229+NJ69vKKCPARuM03tvbXHJaP1jZbbmolm33TOMK2X7O1jcYx13wsm4vuI6PSz6XrJrv1R+E7b7bbWCncDAjWpVe6ZlkFVe37WEQJaepSTePIlT5Y7dJBY60pqoqLyYw8L12JjZdzxkIzgXeSpGStljv/vmmVTCJaaUriO69Kn9runlm7ebat8VkdBefHZzx69Jhnz06YTuYslyuyrEWvN1g71GQU+fPuo9BsGm1Z3Rizrv+Arp2zqixLilVBvipcx918ReKnjXHju0HXCnS97liufdaOUs5GUsqQtFp0Oj3a/R5pq4O1AlVVLBdT5hen5PMpq9WSdL6g0+6SdjrEcer1fQuRy4ASceoMdz+9R5Ot1jS1dGLUOYUiX1qAtwWEHweNd0h8pYT7948sXhyzSNrM4jat3pgszVD1inp2hlmeU+enaGkgiv2BGlqtCCtKyukp+DbvMpKueNa4lCtTFcStDjoVbnqJYsXZ218mqiqsFJSq5pMvHvBvf/u/yxc/+wX+5Q/8GN/8odf4zq//BH/uT/8Z5uUSI+Gbfskn+RW/7Fu42d6hPJ+iixUnbzzgh/75j/NPfvwnOFotSeKYpNOjyQ0/enxEITq0e0M645usJo8x1jAYZIw7CYeDAe0dQwruxisr2u3Ue9xdl6Usdop1VZU0k1san96iTYW0EULExGmLOHF1iaZSiMh5jF1AwUsAP+FpS8S0kgyEoFK174LpH3KJSwX0IihptRBRTFkW7pwK15Y+yTLXNVVIpDVuQnqfOrd+/r2nwViLwkURN4LGCUdhLFpGZDIhjmJ0UZOvlqRqB1UrOqM9kjTi4vQIW1uEqFkuV0RRzHC0RyttYVVNleesypJ5veThk4f09wb0bvR56cW7REgSkyCNu8mrfIEA6mXFarL083c5L7EUPpIlhE+XcWkytVJYG3NeFLz86sscjHbpRG2fZ26QxrhzXivKZeHSYYuK1bzk2ZsnPDh+hOgJamsQbUG70+PrvumjvHD7Du24A1qAn9DazbXnIkbCN/Jw6WXOo1VOSiZnK46PZpRZCawoiiUiismrFTbVtPqunsLWzsNaLHPqsqDIV+i0JjEpzx5NqTJF/4Ueh4M2e8Md+vEQs7JoU2OziFZngDIZkTQsigKRdljMF5ycnXJjb4yILVYK6kRgZMnp5Ixu2iKqLaKsyBcFWsZ0B10kkl4nIU7bSJP46++ETCx9LYFSIFxFgzAWU6uvIFa+9jBGg6kQ2nnajXRpHBhfb1i7GoMqz1GrJdQlArU2gJoJj4WQyEhs1QNsIhYi8pMLS5dSAoLI13fFUvh5ylzNVaN4KWsolWK+yjmfTshaCaVy84mu8pxHT57y7PiExaqgLGs311OtWOYrkjRzxkhZo5UhTRKSOEErTVmsqEr3TPSGA0Y7O+TLHKVKP02QuWSzrb2/uKwHN6+TdRNWNyfBf7cx3K4bcxuDTSK809zLQf/a1RCKrfW2jMYtB1qz7ca4W/93YyNuKU2bRjbW60d2s4utr7tjcdE9i5USohjh55+y1p2XNElIW22StEVV19gcqlVOkefURYFWJUardXQyjl2tayydkwjj5jWUxjWv0nWNVRVGl26eVeuyXiIpiCWMB326nTZZ2mJvvIOx0OsP6fXHxFELZIT1zk9V6y1veMFiPudiMmEymfiOhK4Lb5JkCGIW8wKr3Ty7FoHSPiV2HYXbNG7SyqVQqVpR1DVnZzNOjk+YTmYUZYGUglW+4vT4lIOdHt1+hygSPh3Ud+bTClXW5PmKIs+pqsJFFKMIGbsW805vdGmBZisqoYxC6RpE5WuJvcIk43UDhyjRLooexWuHjYGNo9RuSjico0YQC816Chhr/Xyibq7USH7wjMW6Lomtm0NQ+ghuM7Yao12NdbXClDm2LLCqBrbrk51aualwErjsCD8nra/TanyKMopJEkm702Ew6jMc9MliiUAhjXbzIauKrJOxtzfihVde4uat27S6HVStmM9nnB6fcv+dd3jrzbc5PT11KXcIWlkLKySVrtbp0hhDXRu0cD0AiqJilRdgBf1ul1bWolrM2UzLI/30D2C9quEcTNIr084rv5lrkk2ts//fxiATa/m1MRQ3Dgi7HWX0583vcCPTAOEVtvU2JJf3s5Xuum6w46fMoJkOyHlKtoxIv1e5KQ1YT8ZuzdZ2IcI16k6SmKzVIkoyVqsVsYwo8RHFPKdWGgNkaUqnE281+nH9NGp/TYqyZjpbkK+cc6jWys3HrrQbG4wgiSXdXts5TcFFKCNJHEk/vjbnx3sgGkPeOKOuKCvmiwUXZ+ccnx5zMbnACEtv2CdrZ2hrSdttZ1z6ex2f7m+N9hlETedx19G1qt14Wla1S1vWyk1j541prdx3uqKNEC77CK3QWmGViypqo11zTOsuZJolZJ0urW6PLG2TZi1nlMcxxmq0qlHaUORz8qKkqBTpqvDpqMKXJ0TIJHUlTXHislQil6li11Ph+CwLKRHC+DtPYPGBoWZav+b8fgXEZtLjQCAQCAQCgUAgEAgEHB+8Vl+BQCAQCAQCgUAgEPgZE4zFQCAQCAQCgUAgEAhcIxiLgUAgEAgEAoFAIBC4RjAWA4FAIBAIBAKBQCBwjWAsBgKBQCAQCAQCgUDgGsFYDAQCgUAgEAgEAoHANYKxGAgEAoFAIBAIBAKBawRjMRAIBAKBQCAQCAQC1wjGYiAQCAQCgUAgEAgErhGMxUAgEAgEAoFAIBAIXCMYi4FAIBAIBAKBQCAQuEYwFgOBQCAQCAQCgUAgcI1gLAYCgUAgEAgEAoFA4BrBWAwEAoFAIBAIBAKBwDWCsRgIBAKBQCAQCAQCgWsEYzEQCAQCgUAgEAgEAtcIxmIgEAgEAoFAIBAIBK4RjMVAIBAIBAKBQCAQCFwjGIuBQCAQCAQCgUAgELhGMBYDgUAgEAgEAoFAIHCNYCwGAoFAIBAIBAKBQOAawVgMBAKBQCAQCAQCgcA1grEYCAQCgUAgEAgEAoFrBGMxEAgEAoFAIBAIBALXCMZiIBAIBAKBQCAQCASuEYzFQCAQCAQCgUAgEAhcIxiLgUAgEAgEAoFAIBC4RjAWA4FAIBAIBAKBQCBwjWAsBgKBQCAQCAQCgUDgGsFYDAQCgUAgEAgEAoHANYKxGAgEAoFAIBAIBAKBawRjMRAIBAKBQCAQCAQC1wjGYiAQCAQCgUAgEAgErhGMxUAgEAgEAoFAIBAIXCMYi4FAIBAIBAKBQCAQuEYwFgOBQCAQCAQCgUAgcI1gLAYCgUAgEAgEAoFA4BrBWAwEAoFAIBAIBAKBwDWCsRgIBAKBQCAQCAQCgWsEYzEQCAQCgUAgEAgEAtcIxmIgEAgEAoFAIBAIBK4RjMVAIBAIBAKBQCAQCFwjGIuBQCAQCAQCgUAgELhGMBYDgUAgEAgEAoFAIHCNYCwGAoFAIBAIBAKBQOAawVgMBAKBQCAQCAQCgcA1grEYCAQCgUAgEAgEAoFrBGMxEAgEAoFAIBAIBALXCMZiIBAIBAKBQCAQCASuEYzFQCAQCAQCgUAgEAhcIxiLgUAgEAgEAoFAIBC4RjAWA4FAIBAIBAKBQCBwjWAsBgKBQCAQCAQCgUDgGsFYDAQCgUAgEAgEAoHANYKxGAgEAoFAIBAIBAKBawRjMRAIBAKBQCAQCAQC1wjGYiAQCAQCgUAgEAgErhGMxUAgEAgEAoFAIBAIXCMYi4FAIBAIBAKBQCAQuEYwFgOBQCAQCAQCgUAgcI1gLAYCgUAgEAgEAoFA4BrBWAwEAoFAIBAIBAKBwDWCsRgIBAKBQCAQCAQCgWsEYzEQCAQCgUAgEAgEAtcIxmIgEAgEAoFAIBAIBK4RjMVAIBAIBAKBQCAQCFwjGIuBQCAQCAQCgUAgELhGMBYDgUAgEAgEAoFAIHCNYCwGAoFAIBAIBAKBQOAawVgMBAKBQCAQCAQCgcA1grEYCAQCgUAgEAgEAoFrBGMxEAgEAoFAIBAIBALXCMZiIBAIBAKBQCAQCASuEYzFQCAQCAQCgUAgEAhcIxiLgUAgEAgEAoFAIBC4RjAWA4FAIBAIBAKBQCBwjWAsBgKBQCAQCAQCgUDgGsFY/HmMEOJFIYQVQsQ/18cSCAQCXwsEuRkIBH62EUL8LiHEP/+5Po4PIkKId4UQ3/lzfRyBDcFY/BpGCPGHhRB/8cpnf0oI8YYQYi6E+KIQ4ndcWf5JIcSPCSFy/+8nt5b9CiHEPxJCTIUQ7z5nf58UQvwzv/yREOIP/Wz9tkAgEPjZIMjNQCDwtYoQ4nUhxN8UQpwIIc6FEH9fCPGhK9/5j4QQz4QQMyHEnxNCZP7zAyHEXxZCPPHy6AeEEN9yZd3fKoS4L4RYCiH+hhBi51/n7wv8/CQYix88lsCvA4bA7wT+L0KIbwMQQqTA3wT+IjAG/jzwN/3nzbp/DvgD77Ht7wH+KbAD/DLg9woh/p2fpd8RCAQC/7oIcjMQCHwtMAK+D/gQcAj8ME4+ASCE+FXAfwJ8B/AC8DLwR/ziHvAjwDfi5NGfB/62EKLn1/0Y8F8Cv91vOwf+i5/tH/SzRcgu+VeItTb8/Wv+A97FKRafxikafxb3YP5dYA78A5xS8iJggf858AR4Cvx+v41fDVRADSyAn3qPfX0f8B/7178SeAyIreUPgF99ZZ3vBN59zrZy4KNb7/8K8Ad/pr9z6/u/GPgXwAT4KeCXby37buALfr23gd+zteyXA4+A/xg49ufpu3+ur3P4C3/h71/d3y8UuRn+wl/4+/n1B9wF/jpwApwB/3fgdwH/HPhTwAXwDvBdW+sMvYx66uXH/wGI/LKvtO5LOAdTI9f+DPAX3+PYdry82/Xvvwf4Y1vLvwN49j6/bQZ8o3/9x4Dv2Vr2ipeX/fdY95uBf+l1tqf+vKRbyy3wvwDe8N/5M1fk6P+MjV73eeAb/OfvAr/fy/op8L1A68p6bwLnXlbfurLP/6Xf5zs/1/fOB+UvRBZ/7vgNwL8FvI7zaP9d4D8F9nER39+39d1fAbyGU1r+t0KI77TW/j3cg/291tqetfYTV3cghGgD3wR8zn/0MeDT1j9Rnk/7z78a/s/A7xBCJD7t4Vtxguxn/DuFELeBv40TqDs4QfHXhBD7fjvHwK8FBjjD8U8LIb5haz83cML5NvC7gT8jhBh/lb8rEAh8bfALRW4GAoGfBwghIuBvAfdxjqjbwH/jF38L8CVgD/iTwJ8VQgi/7P8DKOBV4FM4OfQfbG36/db9HlzEcBf4w7hI33vx7Thj8My//xjO2d7wU8ChEGL3Ob/tk0CKM7yurWutfQtnLL7+HvvWwH/kf8O34gzT33vlO78WJ0+/HvhNwK/y+/6N/rf9Dpxe9+/gDPGG34Rz7r3k1/1dfr1/E/jjfvlN3HX5b7jMr8ed34++x3EHfpoEY/Hnjv+btfbIWvsY+GfAD1lrf8JaWwD/X5xwafgj1tqltfYzwP8b+Pe/yn38P3EP/t/373s4L802U6D/VW7vbwH/Y2AFfBH4s9baH/kK63y1v/N/Avwda+3fsdYaa+3/D/hR4N8GsNb+bWvtW9bxT4DvB37p1n5q4I9aa2tr7d/BRQ0u5fEHAoGveX6hyM1AIPDzg28GbgF/wMuTwlrbNLa5b639r6y1GpfSeRNnmB3idJf/tV/nGPjTwG/Z2u57rXsPZ1z97621ld/X9z3vwIQQd3DRuv/N1sdX5VXz+pK8EkIMgL+Ak5PT91i3Wf+5ss5a+2PW2h+01ipr7bu4FNZfduVrf8JaO7HWPgD+EfBJ//l/APxJa+2PeL3uTWvt/a31/q/W2ifW2nPgv9ta77cBf85a++PW2hL4g8C3CiFe3Fr3j1trz621q+cdd+CnTzAWf+442nq9es773tb7h1uv7+ME1/sihPg/Al8H/KYtj/gC58HZZoBLAfhK29sB/h7wR4EWLi3jVwkhfq9f/neFEAv/99u2Vv1qf+cLwG8UQkyaP+CX4AQoQojvEkL8oC/onuAE8d7Wts6stWrrfc7lcxgIBL72+UDJzUAg8POeuzjDTj1n2bPmhbU29y97OH0mAZ5u6TP/JXDwVax7Czjf+gwuyzIAfNbV9wP/hbX2L28tuiqvmtfzrXXbOAPsB621f/x91m3WnwshftuWjvd3/XZeF0L8raaZDi5rY+/K+s+2Xm/rZXeBt67+rq9ivVs4eQ6AtXaBi0je3vr+tfMV+JkRjMWvDe5uvb6Hq8MBl5t9DSHEHwG+C/iV1trZ1qLPAV+/leoALrz/Ob4yLwPaWvtfey/SI1zov4n8fZdP6+pZa//SV/WrLvMQ+AvW2tHWX9da+yd8J6+/hsvvP7TWjoC/A4j32V4gEPiFzc97uRkIBH7e8xC499NslvIQKIG9LX1mYK39alLXnwI7QojO1mfbsgxfYvP9wPdZa//zK+t/DthOr/8EcNSkqXp96m/g+jz8nvdbVwjxMpABX7bW/qUtHe+7/Ff+H7hsidestQNcScBXq5c9xNVE/nR5gjPGm2Ps4tJ1H29957kyPvA/nGAsfm3wh4QQHd+p6rtxxb7gvOovCiHW11EI8QeB3wp851YOe8M/xuWY/z4hRCaE+F/5z/97v64UQrRwHjEhhGhtdfz7sv/st/rv3QB+M652518FfxH4dUKIXyWEiPy+f7lPs0hxAusEUEKI78Ll/wcCgcB78QtBbgYCgZ9dfhhnwP0JIUTXP9//xvutYK19ijPm/k9CiIF/9l8RQlxN0XzeuvdxJTh/WAiRCiG+FVefDazTR/8+8APW2v/kOZv4r4HfLYT4qBBiBPzvcPWTCCES4K/isjB+p7XWXFn3L+H0sF/qjbA/Cvx1a+17ZVH0cQ1yFkKIDwP/4Vf6fVv8v4DfL4T4RuF4VQjxwldcC/4y8N3CTUmU4aKZP+TTYAM/SwRj8WuDf4IrQP6HwJ+y1n6///yv+H/PhBA/7l//MZwX/c2tlIH/FMBaW+EKf38HrjPV/xT49f5zcIXSK1zU7p5//f1+3Rnw7+GKmS+AnwQ+i2tI8zPGWvsQ+B/hPFMnOK/THwCkF1S/D/hv/b5/K++Rwx8IBAKeD7zcDAQCP7v4msJfh2tU8wAXkfvNX8WqvwPn6P487tn/q/iymq+C34ZrGHOGkxXfi4tUAvy7uJrG796SVQtf64h1Tbz+JK4+8AEuZfM/8+t+G67hzK8EJlvr/lK/7udw3Uv/Eq6pYJ/rDWu2+f04fWwO/FdsHHJfEWvtXwH+c1wznzku2vkV53S01v4D4A/hss2e4qKTv+V9Vwr8jBHWhmhtIBAIBAKBQCDw8w0hxPcCX7TW/mdf8cuBwM8CIbIYCAQCgUAgEAj8PEAI8U0+bVUKIX41Luvqb/wcH1bgFzA/nYLdQCAQCAQCgUAg8LPHDeCv4xq3PAL+Q2vtT/zcHlLgFzIhDTUQCAQCgUAgEAgEAtcIaaiBQCAQCAQCgUAgELjG+6ah/sUfW/qwo/vn6uQpwi/bfO6/LsTmNWL9vWusV7y+TKwX2q3Prh9E81Zc2af/P7ZZZq17tzVVVvNSbG3r0kxaAuR7HrfYWnPrO9aCBWsNEksknEUeYamriuOnj2lFMGhJysU5Zw/foJ8oXry9T6uVITHoqqDIF9TlCmtqIun2dX4+4fT0lDiSjAY94jhiMV8wWyzpdrvs7+3Q7XaI0xYPjyf85b/x9/nMlx+hZYKIJMNem92dId12i0hKIikQWKqqYrUqWcxzVvmST3zdq/y6X/Od7O/1iKRltVzx6NEzPv/l+3z+Sw94cjpBIWllCb1ul73dEcN+j6KqmM6XKGW4mM45Oj4hzwuiKCKJI4wxKG3QxqxPWZZIdscDup0W1miyLKOVZUznK6ZLw3f8+t/Gr/4N/z4VEUiJsQJtLNYYrDVgLda4aysBYTSRqZk8epPP/It/wOL4PmVdYZI+Nz78DXz8276D4cEN3H1riKS7iqmEYjrlv/tr38unf/SH+dSnPskv/47vQKuaR+++xez8mDSCdisjTSRSWNpJTNZKSZIYIQRlWTGZzimqirt3bvPii3fpdlvEsURgMdZirKFYLSnyJavlgrPzCWfnc5aVQYmM3viAg5u36HTaSCnQWrGanTM9fsRqcoLQJaNRj1u3bzHa2UFmHYgSDBFVpVHKoLWhVhalBbVIMXEf0drBZiNs1MIgsdaCNViac6cRwiCwJGhSW5PaiszWZLYipSYSlkhopDW88I3f/oGa4/LP/9jSXpEgnsvyRwgQ21JR8BzxtSUvhZdkFn+uubJse4/2qnhbL7M8V9Iirn0LmmyR5ngjYYmk+7eRWlJsy7/m+5ujsetjxstOMPbqTxV+GxartZN5MiLNIp4+fcjk2QNevLnLKBPo1YTIrOh3MtI0oq4KVFlQ5XOqskBgieKUrNVCYjk7esbxk8ekacrtu3dQ2vDZn/xJnj17yiuvvMpLr79GlGbkecHF+YS/+/3/lB/6yS9Sauj1uhweHjDeGRNHEmEhyxI67Qys5fTklKOjY7rdFt/57d/ER16/R6+dECcpi/mSJ0+eMZsvOZ3m/OBPfIG37j8hSTNu3jjk7u1bpGlMrTRaW/JVwfHpGaenZ9RKIYQgkhIpJUobqrqirhUCS6+dcrg3ptfOwGjSLGU43kFpeHI84Zt+xa/lV/2G30kpMmoDkZROvlkwRoP144kUZDHEGFSx4J0v/RRf/uyPsJyeoBQokbBz+1U++Yt/OcP9OzjxaEgTiKOINImoV0v+2vf8eX74n/1jXnrlFX77d/9uxqMBX/zMT/H43TfIIk0Wx0SRoN3O6Pe69PtdslaKlIK6rpidn/D06SMGgz4f/8THGY3HaKPQunbHawxaKeq6pChWHJ2c8+RkysqmpIM9dg5us7t7QBQnrPIFy+kZ9eyI8vwp1ewMqRU7gyEHt+7S39knaveQcYTWFl3X1HWFVrU7P7KNycbo1i46GWCiFlZK99u9MtDc5RKL8ONFhCW2hoSaxFYktiShIhWaRGpiYXjpE7/0AyXr/twPrdaiC0CIjWRpZMP6dSN1tmQH6/X8i6vCyF5+y5WvXX1/SdZc+VwgsO9z9tcybK16Xv4ta/nrt7hW3exGR2w+Etvvhdv35vPLsrmRlJEtuTg/g/whw36f+cUzzk6PuH3jgGG/Q1UWtCiQWPRqQl3XpFlCnKZYC0IryrLg9Mljzs/PuX33LlmS8i9/8Id4/Ogp3/ptv5iXXr6HELCYL/niGw/5R//0X/DWsxyjNUmWsrszYDzoEUvh/uIYISVKa4qiwBqn67x47y6/7N/4FHfu3UVpRb5ccfT0GT/x6c/x7rsPOZ0VnJyeoYTkcH+fw8N92q02URRxMZlxcXHBeGeXz33+C0xnC+I4pt3KkFJSVhW10gBIIWhnCTujIYNu5o4zktw4PKCqKj7zYMpv/u7fyzf8m7+elbJYK/y1Xg811+4Tp5fUzM6f8YUf+B5Ojx4hTYkWbe5+9FfwkW/4pZhsvNZpJRYpIJGWuDjj7/31v8A7P/kvuXf7kG/7Nf8eUka88+5bPH34DrYuabUyBoMhO3t77O7s0x0OiZMUo2oW03OOnz6hFWnu3bvHYDwgzTLiJENIgTUWoxR1VZLP55yenHB2csxysUIIgWrfoD/eZ/jKp8jaLZ48e0L54LN0Y8uNZI6qaqp6hUzbdMcHpONDklYHEbf8CbBYVaGKJWoxpS5LqnRMf7xPPn4FGadoGbk79Hm6iNc9rAWMxqiKQX1GJ1YM05IsEkghiIXi7se+4z2ftq9Qs/g/MEW1ufLX3zx/81uLL6tD4spn2+qM/0Rs/r1mzG4dg5CspZIQW4LiqsBo9uw/lJeOTVxS+Br1z27ebm2AteHoFhmEjGh1+gi1xFiDsc54bfZljcFYjdYaAcRxhDFOSM3mSz7zhTd48OARO+MhL9y5SaedopWi0+2yszMkiQV1VVIbSxRJbh0e8ODpGcvaEiUpaZY5Y6zdIk1isJayKCjLmlVRsSoKur02r7z2Eju7QyyaxaLg3fuPefDgCfPliihJaLdbGCHJkohhv02/2yaKJALI0pROO2Y6X1CWFUprokiSpgnGGKhqd86MRQhI4phWlpHEMXWtEQiiKKbdarGqFXVdYa1FRBIQW8Lk8nUQWCJ/vYRRrBYzilWONQphLUJGdPojklYXpS1giKRFWCfctDbIOKbd6SK9Ia3rmqousdYio4gokaRZSjtLiCNBEgniOEIIibaGoqzIVwXdTpvd3R3anTZSgrEGjDPMqrIiny9YzKZMp1Om0wXGCMbjMUl3RHswouUVMmstq7zg/PSUxfkpiakYDXvcuHGT4e4eaauNIcICuq7QtUbVmrrW1Bo0CSYCKyTNlHICg/T3cWMdWTaWg3sGrFOihCX2ryUghXXnkqtTM30AWD+q1p+K6zJLsFFK1t/YfuYvLbnuYLu8RXFJ7rgXzqnV7H6tnmwpQo3We9nI3Do+1nqQc55ISyzwxqJw11+4e/76L7SXBuvmZXO1nQi1GMDaxrj1UlGCNcL/BMugN8AMR+7OERYpBcJaVF1glUXXFUYroiii0+0SyQiERFUFTx494suf/SnOjo4Yj0fOeVaWLBcLPvSRj/Lahz5MlKbM5nPKoiRrtXnt9dd4cDRhUdakaQshY/K8JE1jsjTBColFUpQFpxczZsucG7cOuPPCXXr9HhjFYrni8ZNnnJ2eIaKU6Txntlgh45TBoM/uzpjRcABYaqUwBifDrXWyzfsi4zgiimOk0hijMdoAhjiOSLOUKE5QlfbPnfRjgKQqK7DGXZvm0vsLIoXYOAFEc60NWpUslzPqunTOKPDjTI8k63i1yck5a8AKi9GGOIoZjsYkrQ5xkgEWVdeousLoGms1cRbT7bUZjYYMB33iWKLqkuV8znw2ZTa5IE0SXn75JcbjHSwWrRWqrrBWY7WmrgqWywWTyZz5NCfLWnS7Y6LukHaWIoWTj9PZhOMnDzDzY5J6STdN2B8fsndwi/ZwDxu3IIndOCMM1lik1hihvLNQgoj8n1yP61I0av7lB1fYjQEghPWOXUsMJEIQA5EAYT6Asm6Lbef4ZR3qqlvo+bJs+8xekyfCXpKXG33ObgzBtQEn/F7XUvjacdjLm7l0XMIPYbKRSWLbYXfNjl0bv5eObm0ki/V98VzjuPnd/nlstzvoKqYuC7Is4d7deySR4PzoGZGwdIYZsYwgSRGRc8BgLHVdUUwvePL4MU8fPiTLUordMU9Oz5hPzvmWb/1mXnr5RYS05Islx0cndPoDvvlbv5Xihz7L0bMjoigCC1prIiTECVJGIMEqMAbyZUGnFfOxj32MGzdvoZRmuVjw9OkzvviFL3P87Jhet0euBFIKxsMhhzcOGPR7xFGMjGKSZU6WZVR1TVGUCOG+K6X0gRrWARshIJJON4qkQBKRZTFZlmGURlUVF2en3uFvvXax5ajcijk1zkp3X2iq1RxVrhBWAxIpU7LOAKKUjX5o0X5ryliSJKM7HBPHEQjnNO0P+xzcuIFRNapc0Wql9Dtd0laLqiypT8+w1lBVFfl8Qp4v6e32SNIUIaS7d42TQ6pWVEXOYj5nenbKdDrFaEV/MKDdblO2b5B2BsgkxRiLKgpsXTi9E4W1hrjdpzPeJxsdILMuyMSfCwuqRhU59WJKvcrd+JB2IGlhReS13/fxqKyxCKORWLIYWmlEEsm1jePk6Hvz/sbiFcXcbj2Em0d+m20F5JoG9Z6IayLnige+eXXVqFzfnFcUr+cZgsLdzOuBVjxn+aVjurqvyz/Hiku24OZzy5ZGKdZ3fnPu2u0MtaoweoWqa4wxjWgC4W924ZQIISKEcDfsyckp5+cXaAPaCKfESMF4NGQ07JOmMUZrZrMltc1J2j2+8VOfIOv2+fyb95nlBVm7TavdcYpJpSjLitlszmK+oKwqskTy8Y+9xodeewGjK2aLBQ8fPObx46fEccrh/h7zvGQyX2KlpNfrsrc7ZjQaorRhVRQkcUTW6mAtKG0QwgmBJHWKgdYu8mUagZLEpGmCjGJMXbvzJCOSVNJqRVg/WK9PiwCx1mibQQdvEAoiYdGqJJ9doMuV824bi0gyOuMdRJairPXb2HhNjYAoTuj2ekRxhMCi6xJdl+57UiKiiDhJybKMJJZI6ZQRYwxVVTNbrjDWcnC4z2DYJ4qcEYmxWKNZ5Usuzs6ZTSYUq5y6rsmyFvvjXbqjXcRWlNBYQ1lVXFycMZte0M0SdgdD9nZHjPZ2SVsd5zk3FqsUplaosqYqK2plMcTYOELICBknEDlBabx7Q1wexb24abxyPhrF5k9ag7AGYTXCKj5o2C1x2ww4sPXs8z5ur/cTc89Rlt7rk22ZdXVfG/FzWXlqhli5NiCsV5L9dZQuGhVJ9x2JV6ouKUJbClrzbFmw/tk1PrplnY6DtM7o2BjX7pWR3qC1ljRJ6PX6SGq0KlCrBcXkGdJUDIZ9ur0uSZyCiTBaoeuK1XLJ2fEznjx8SLXKGQ4HdHtdlosFRVlyeOOQOy+8gIwTlosFk/MLqkrTG+3x8oc+yrvHc965/9gflaSqFQhBnCRUSlMtcs5Ozzi7mJBEEa++dIfdnQFgKIuKJ4+f8uTxU7IsI8talGWN1oZ+v8fOeMxg0KPX7xJHEfP5kqKsSdNs7dgx1iKsl19J4s5nWfnBRiJkRJokJHGErt3ZV7VyGQDKyRC8U8cag5U+A0D4CyK8hxg/lllLVSzJF1O0Vk5pEAIRJXR7feK05a6bdzg2yTXWOLm1M95lOBjS6XTAWuqqwFrlnv1IkGYxnXZGp90iiiRK1axWOfPZlPlsRlnV3Llzl/3Dm8gooqwKVF1TlQVWl5TFisV8Rp7nKCPoD3pk3RGy1SNXkXdACWqlWMymLGZTMqMZ9QYc7I7Z29mj2x9D0saICCGdERjFEqzBqJraZ6tYaZxDzDsdmidj/cyIjXay/Uw3L53ME5s/K5AYr5R+sLgqheSlzzdyb60nba/7HAHYZBe49a7oaZfO83P0uiuW5iVn8JV9bYtS4S1+4V+v5Z2w7vUlhXCz7asu5mu/5bnHzXWD0zbqpyBJEmSSoqqCVhQTS8vZ8VPyi2Pu3rnldR8Joo1RNVpV1Ms552cnPH33XWaLOYPRmN2dHfJFzmw258Mf+TB3X7yLsYZqueLxoycoLbjz+ivcfiVBxT3+2T/9pywXJViolQswCG2QkcXUhkVeMJ1MKYqSb/jUt/DKqy+ijWU+m3D87BmPHj5mNp2xuzMmzVqcL1aMhgMOb91kbzx2epB3NFdV7eRoVblghhDEUUwcxWirL10dIQRRFBFHEikkVhqklMhIYoVAG818OnEONracYFeuh90eBK0FW7FaTtB1gcRgkYjYGYtCxk4+bg1h7hYSWBkzGO8Rxc7cWeUL4iSiyHPn2PKOvjhN6fWdPIzjFLBUZck8jYnimJGPKDaOO61qdF2TL5cs51MW8xl1WdDtdOjs7ZG2egghOVZtRJS4jC5VUxUrhFYIK7FRRNJqEw/3aA3GiLSHiGL3w41xjrvVnGo5Q+dzrIiI0hYi62CizMv8a7fxc+9rC0QYlxUXQSotUgigydB7f73upxlZ3Cjnm2WXjbz18m176TkHvXlUL3tMLxuKV7yBW9tw7+3W98SWwWc3hkVjiknvKRTOaNte1mz4vYzFS2raRpe6dGNePRvbCMDnw5DEEcQRqqrJlwtUXZL0uy51wHtBhZAujaA25Muci/NzlvMZ927fIHulTZalJLGk027R63VI0xSlDEfHE548O2G0s8eL+7c4vD1m9+YtTJTwuTfeRkQJysBkMmG5XFIpTbEqqKsSjOberdt8wyc+zHjQZT6b8fjxE1Z5zq1bh3Q7PSazpbuhrKbTanP75gF3bt+g3W6Tr0rmiyXauMih1oatIYe4ER5SrFP5pMB/Frnf7g3MslJYIzBao1W1MRCtRSBd2lGT7rs+x/7OMoZ6tWA1u8CoGotFW0Gr3aM/3kXGMbV2DwcChHH3hgWQkl5/QJqlWKOpVYVWynu/WP8JKRBSYq1BGUOtamaLJXlesLMzYv/wgFYrWyvZdVUzvTjn+NkTVoslcSRpt1qMRyPa3R6tbg+SNrVI0EiMAVVrLi6mnJ2e0k1Tbt+8we6wQ7uVkmSZO15jsFqj6opyVbDKXZRYW4mIW8goI4oiJ3ykxEh/li55Xf1TaCUC57iQCKfIWXBRROe7wmqsddGSX2hclnlXpfPzJdxV5Wv702vOqS15dm1/V767rbU025Hrf603Cp2RGHtjUQqfhio262zSVjcSbm2ACjB+FGpUAcNG5q1TUhvj1j/TzYEJKciyFpGyqKpmtZgxPT0iQtHvtchS5wlWlUWVJbPzU85OjphdnBMLeOGll2i1OyAEVV3TkxE7e3tkWYvFbMajh494+vSI3miHnVsvcfNgh49+vGS6rLi4mGC0piorlquCRb5CRjGrfMlsOkFXFXdfvs1HXn+JLIZyVXB6esbpySlpljEaj1lVmmW+Ik0SBuMxd2/f4PBgj92dMVWlODk+Y77MiZKUOE4uXUinGEVQ6/XT47zjTrY3xgwWjDZo7SO9XhC57FNvoCP8ed0aYbwSZHTNajmjLHMM1hv3gjhJ6fR8GpXd3HeCJqXVOVgHwxE7u3sMBwOs0VhtsFoRx5IkcWNVFEmMVpSFoVYVeb5ktVo552Krze7+AUnWRmlNXVdUZU6+nFIVS1aLBUop0qxFv90nafeRcYvaxuSVU7SczFeUpYuMdrt9Dm/sszce0+n2kHGKRSIRa0MAraiLBav5lLIssTJBxNal7QqnkFqvOF5yu4jmfhVbDkf3PpKCRAgSIUkQRNYitPmKCtTXIhLWSlozQnPl3+d9znu8v7ruey27jl3Lj21Zt/mn+ex5W7BrPW7t3JSQ4LIYInHZteacXs1I5sfzrWdjO6NiOyBy1di1mzdOhRASKyNk2kJVJWU+ZzK/4OLkKeNhn07bZTmISBLZBF1X5PMZJ4/v8/TRQ4yVvPLq64z29inyJdOLM27fu8t4ZwejNauy5PzojAcPnvDiqx8hbXWoNNy5fYvbt2/z1lsPUMayKmpWlE7PiiNqpZjPlixmU1566UW+4VOfJI4kk/MTHj98wMXFBXEs+ciHXydrd7j/7n0iYbl5eMD+/i7tTnstf7Q2LBYL+r0++arAYJ0xmMREcYRRZuuiCWdIxpHPunLyRhuLMdZdA2tYrXKs0QgRbV3tbfN965XX201Zki/OMKpCYNA2Jk1aZJ2hj7A163nZikUDGklvvEvW7hIlKVW5oioSpIB+vwfGEEcR1lgWsxnL2czLs9oFdFRFq5XS7rgMOms3WRjFYsl8MafMFyAEo51dhsMRWbuD0bBY5tSFQUqnW5laUZUFqdFIGRP1hnR6Q0RvjIwzrIy94Waw1YqqyNHzM6rV0o3jnR4i60KUYWTio7nPf8IuOTfclSFBE0eGVBhioZ1OZ4yT/6Z67nYafhpTZ9j1RXjuET3XTLq+7Pnmp1c47GW5cFk123Yz4D3f20LquuCL/AtBk4bl3ksh8E5KGk/YtnfD2uf5nDZH24ghY8E0ws06ZaoRRdvHZRuXLtalOEYxZa2YTyfERtPpdIjiGNvEfYxLD52cu6iSVhW7uyOXNpRlXs4bmmhQrTTPTiZ8/kvvUlU1t194ieFwSNxuo6Y502XBqjIMx10MgifHZ+TLJUK4yJ0wiiyGW4f7jAc9ppMLzs8vwFru3btDt9uhKGvOJnOU1rRbKbdu7PPyS/c42N8liiPmy4LT8wl5MXUefVztjjXGey9AG7O5pj6FwXlptIs2akNta6KoxBqBqhRVWWKMxkrnqTdcFvKNlF/XkhlNsVywXCxcTaNXibuDEb3hCCEkxtZe5xJrxVdb52UZDId0Ox1nCNY1WiuXRmrddTFNpFJrl6de1yzznMlkihSCG4cHdDttf4Na6rLi+OgZR0+fgqnZ3RkzHg9dOoOU69+ijEIh0DZCIVmVJbPJBRLDrZs32T/coduKiITGYjG6RmtNVRaslktmswWrokZrCzIlbkEct53RJyVE8lIE/pIFYtkYjc3/rDPQhbVgnJEorAajsB/AyOLzlB1x5YPNy0YWvbfMe28F6fnfvaqoPffYrtQNufQ5sa4/FHhDUbharKZOMRKNo4yt7+INGOc8cIM4Gy+ll8WNTHZ+3I2yZRq5uaV8CbxBiXvm4yTB6hVVXaHqiixN6La7dNptN3Aa4zyzixkXZ6cs5zOyLKU/GNLtD0BEVHVNYgztdpdOt0tZlrz95tt8+UtvkBcFL7X7tNpdhrt7vPTKK3zhy+8wWxZEWIqq5uzsHK01Bkld11itGHYTPvrh17hzc5+6zDk/PaEocm7eOqTd7lDWiqN3n1AUJf1el5sHu7z2ygscHuyRJinPjk6ZziYsFiv6wxFJHCOFd7YIpyzhlaLNRXTjitKGNLLr70W+ri5NElpZuj6X7vJsVN3GWdYo+U4GKPJ86WWkceMRgjjr0O4NQcYuVdYIb4Be/ut0++zs7NDrdrCqRlkDuiKNIPWZE9Y4I1ApQV0VFHlOVZZYY+n3B/SHQ6SMqKuScuWinGWxxBpNu9On3e2RtrsucwRJWYMqnSMOnFMO4yIP3d6Aw4Mx+4d7tLMMKWOMl9FSWISuqIs5k5MjLk5P0MaQZh3S3g6ySceS0dpo3pyvq0+aXUdmBe4ZiQUkESSAtBara1AVRpU/jSf5a4PtrJK1PBFXZJDYLLvktLeXhgv//W05eFkmPtd4vPLh843VbYfm5eNt9i/w2RLCEkvcNdxyjjV6ndO8NrqD9ve/ERtd4tJRbxusV87LtiZr/IdSRsgkAxGxmJ5xfvKEbirZ3dslSlOQkXtejWa1mHH69CFHT5/S7rS58/KHGI+G5Msl2hgObt0m63RQqqbOc5bLBQ8ePuX0fMY9/zxjLWmasrOzw1vvPoEoYqU0s+kUjCESoJSirCpaacwnPvExDvZ3mZyf8c4bb7Cczzk43OfmzRtkrRZvv/OAo5MT+r0uO3t7DIZD2p2O00s0XFxMWS6X7O7uoi6UT7WPSZOEKJLU6rKuHklJEsdO/7MWrTV1ZSnLAm00WENVFi7ryht562HHXr6Ltu/BulxQzM+xpkZYgxUxadYla/e8LnfdODGANtAd7NDpD4iSCKsVuq7X9bjGOr08SWKSNHMptj7rT9U1COh2umSZqyHUWjkHaL6gWCyo65p2t8tgNKI/GJJmGdZCuaowxlDUmiwGi6RWLk0/k5Juf0BvZ4c0a6OSNt76AFWhyhIzO2E5n6LzCSCJekNEkkGcgXRZY43jcX1vbistPjQrvHElgEwoEmFJpEY2+pxRaFUjdMH78VVEFl0kbjs1a/tiiCtXVmwWvS/vr2o9//uXH+vn7eCyt9D926Spik1eu9ikY20Ln+v7a4y95x/4VcXuqjB5Xn2lxSIj6Q0Qw6Dfo9Nuu7oy7+4qVkvOjo+Yzy6IoojxeIdur0OaZd7A8A0ljEvpPL+Y8dbbDzg6PuPundu+rsZwcnbGD/7Ij/Plt96lMoKXXnmd3d1dzs6nHD07I0sT0iQikhHdVsKg26HIc+bzCdpo9vcPGAz6KK2ZzpecX0yIooiDgz1eevE2B4dO0RBSoq1LZinLCoSPUEmXhiCEcClW1qCVdg9no1QBWmkQromDMYayKDFWUGtLUZZUSmNTZxhvN7a5JOmbe09rVvM55SrHaAsarIjoDUbOA26NS/0VwhVW+wGjiQB0ewN6vb73HlUIn2oqIxftbY7ZGINSilVRMJsvqKqag8N9xsM+iRQIH3GcnJ8zOb+g026xv3+bYb9HkiZYa7yxV6KUoraayiiUTNEipqoqZBSxv7fP3t4eWZaCNN4LVKPLnHy5YD6bMZ3NyPMCrQGZINMOiUywmUJq7ZUiSZN7vf2MivW58+mLOGVJYpyoNV6g6BJjajD1B9LbHslNvcN7ia5GJF9f/j7SzBvo2wPZcx3lbDz+6wHyksJ2+X3TeKuJJG7qr8Q61aRJP13X8nrFatMMrGm65O8De9l5t05Qs+6VWZuGfkxYG4zu+TG45iFmXXQisSLCGIjjlP7OLoNemzTNqMoCVZeUyyX5YobRmk6vT6/bpd3rEUUJtTZIC7GUJGlMXRU8ffKUh48eYrCMxmP6/QHaGFZFycnZBaeTBSLt8PGPfx2xEPyzf/KPePvNL/tjlyQS9nbHvPLyXbCK2eSCssjZ2RkxGI7QBp4+O+Xiwjl/RsMBO+Mhuztjer0eUgrSzD2/xmjn/IsjZBQhtxxjdivnrbkuUkq0Ma7e0UcOhTfkIwFG1QhjMHJTV7+5Jk1U2MlNYwxaVeT5grquGt8UFkG7N6TV7WNF7I1/s87GEKbZp6Td7tAfDEmSCFUX6KLEqtI3QrI+u6JGSicki2JFvlpRFhUiiugPBnTabbTR5PmCxXxCXSyJ04RWa0zW7pG0usgowhpNVdfYqnQRyKomEhqj3V+n3WbYaXFwsLNOezVWrpuXqWrF7OwJJ4/e4uzZU6yF3mhMmnWQMiKKYohijIh8yt86br7+d/PsbhzDTSOMJhovrAZdYaoVlEt0/f7e9q9FnmecOewledN89v78dLS49z8W95w012YzHjVfuKRr+TfSPzvOUBQkXuY1OrMVdq0muBFtc1cI/9k60rh1VI2R2miRl+W+l734gIUAGcXIOHE1ip02hwc79AZDRJwg0GhVU0zPOH3ygPnZMcPxiFt37tLuD8lXK5aLuTMehiO0rqnyJav5nIvzCxZ5QafXR0aSui7RRlDVCmsFlY35yIe/ns5gxA/893+P42dPSL2+izTcvn2Xj3/d61TFgje+9HkWsymvv/oaN+/cIoliHjx8xJtvvk2SpBzeOqTT6dAbjtjd2wNgsSyZTGbUVUUcxyilkLhMsSSJnSP6ynlrlgnhAgRKu2DAbDZHGzfWlsUSVdfINL52B23bGrZ5LlFU+Yxyee50EmsxIqHdGayNxWatjebvDHplBK3OgN5ojK1yVqsVSimWq5I8z9FKrZswSunkh7WuntIYQyuL6HU7JLGTY6quKYsVVVESxTF74zG90ZhWq0UUuQBMXVU+Jb+iUoLMp+ZKIIsihqMRO3uHZL0eSEmExGqFqQv0YkI+vaC6eMpqtUIYQ9LuYYUEpLMVItfw0ddCbZ6krTGH9TgPkXX3cyadsRhZhbDKZd/VJVpV2J+Zsej2ftVg35hrl5ddUpmurHNVP7rqyVn76psfK573/ec1ZbjO5U6qjZFon7Pk8q953oHbrR6JVwXKOpzYfO430Rh9thnBNxtbH59A0O122Bm6xjPgFIDVMufs9JjFfEq71WK4s0OaJoAL47t0IdcERyvNcplzfnZBGke88uJd7t27S9bKuJhM+ckvvcOnP/dlZouc0d4BX/fJT/LJT36Sm7fu8Lf/5vfx7PFDJ2gxZJFrfFFVNZ1Ol063TbvTodaG6SznnXcecXR0SrfT5cbNQ27cOCBLXfqVFDFQk+cl09mSNGuBED60b5DCefW1VtS1S+skcg9P431q6mqwFq2US93AGXS61ojY+4kseBf6+pw2V04Ki60rivkMXRSuoYYRiDijP94nTltUXgBEUeQHEesVSYGNBGmrRavTwRiFVsoJRCF8/ahPFfOX0liB1mC0pd1ps7Oz471KhqqsmM/nFKucnfGQ4XBAu5U1/Sz879BgNFopqlqxqMAmXWTqmvyMRiN67czVdAK6qlG6QlcL5hcnTM7PmU6nlLXCIomTFnGWkrY6xGkbKRMQERBtDEX/r7tfN2k20hv7sqnRsWC1wWiFVRValaAKjK4wH8A6nlhuuaMuiQCnaTTKxzX30LYn9LkOtauV3dZHSvwWnmMcrpVXcdmptaktsuvPmiPa/Blfv2M3qcTemJRb+8I2tYh2bWgY51tZb9Nin/P7rsjmrdawQoA1dj3QOgedRMYJSadDL05J0witNeUqp14tyRdzimVOkqa0Ol063T5RErs0dquIE/e767Lg5Nkznh2fsH9wwOv7h67+OmlxfHrKOz/1JX70p77Ag8fHHN64ySe+4Vv46Idf5WNf9xH+6n/7vXz20z8FxpAlETf3duimMUW+QErLzu6YXr9PFCfksyVHRyfMZjPa7ZRuv8+w33VdVQWkWbZuXFCUijhJMNqnvkXOaASXXurq0d3JdPWjEqMNK62xWiGkOxeqNiznM549fkhVLKCbApFPRd20L1ifdv/cVpXLKtDKPf+Ns2gw3KXdGW7WkoKm5YPBRykjSZJmtLtdEhT1aokqF+h6Bdalz9ZKuTpBa9HGUKwKylKhraCbten3+0gpKFY5y4XrapumLdq9AVmnT5p2ED6qgrXrdFqlNVWtyVInfaNIMhqO6KYRvU4LGTnD2iiNqUtWiznHTx5wfP8N8ukZvW6P0f4h3dEucdZFJC2IUkSUudpsKdeOneYZFetH9bLTRq7PqzP+ta4wVY7JZ+higdUfPFl31Thc6y2XvvB8I9Cd0Y3et63zCbhUP3VJH9z+bK0HbelhYiNjtmXhZaNtI3vWYz6NPtUYl9ePu5Hsm7r867+oORfXmiE1et5a9tlLa4F3JscJWZYh+n3anYzheEDio4qiKphfnHJ+/8vMJhcMRkN2b94hbXexdcVyNnNNWHo9tAVVlszPz3n26AlZq82HPvw67V6XtNVGVSWL5Yq33nrA2+8+RJuY1z72i/iGb/8Obr/6Uf7B3//bvPuZH6UqVgxaMS++cI92LPnspz/NfDblox/7KLdu3gTgydNnfPGLX6asanZ395xTvygZ3Rty69ZNyqrCyplz2Nc1xvraSCF9N/0IN55tnm8pBUkSuwaKOGNRa5eNNZ0vEVISRZJ8saCuFVmKd97LS9fFBcUEwgpfNqNYLS+oVlM/vgisTGj3R8RZa+uKbfJcGntCI4iyNr3RDvnUBRss0Ov32d3bI01TH1GEYlUwm0yYTs5ZzJ0jbn93RCtLnK5mLboq0aqm1WkzGI3o9QaIxNU4Wp9tVhYFq2JFWZYonSDiBBlJkliyM+xz0OvTGY4gcv0pqEtUPqOcXVCcP2E5vUCVOcJA1OoSZ21k2kFEiUvdlZGPLm5G/uvP8kb+OX3AkglNhAZTO92urnxvjuor1md/FQ1urmgI9sri7UXrlMDrJt37+p/sRtCsTbYrNpzwCzeq11bodcvSbAYFsX6aN8oQ4rqQs3b73eaAmpvVWnPZjNxSnpoUhy2dar3RzX6s60KH9R3YHMYYksQJGIRwed11xWI+p8gLNyCOR6TtNtoYymKFqhVR5Ir7y7JiuViQL3PSJOKlF24TZxntbo+qrjk6m3D/wROKqqbV7jIYjuj0Bigr+fgnP8XO3gHHzx4zOXrMlz7zE0xOHpOmEYPhkE7PNW1QtWI+W/DmWw94591HRHHC3Rdu8tLLL7KzNyZOYmfAElOczbiYzaiqkk6n4+oqE9cBNYqdq8+lShlv4EnvkZOuBtBY3xmvOc+CNGvT7fXXKUPGbqYQMOtz7R6Epp6qKgsWi5nvouq2FyUp/dEYkSSgtG/U4Sr0jFdq3SAnyVreSM5nVHXlG824rqhKOWVc1TUCi1K1S8nCui6zaepSw5YlZbkCa9kZj33BdETT/MMa7bxW3ug3xrJcFZxNSno7Kd1Wl6QV02ulRFK4dFhrMVVOkc+Znz3l/Pgpi+USIyJavSG9wYhOb0jU7iOSLiJuoaMOZH1EnPrGD/4Z2B4yt3INhcUp9xaEUQjjDUS1gmqF0RXCKC45Ez8guG6+Gy80cE1uXJVrm+YjbGTAdVHyHFy78PcyFJs0KildOuklY3BbidreiX1eVGDj4GryHLYVveb5MMYZidoIl6K1fdj2ct3OVe3QOXS25aE3a4XxnlBBJF1jKIHzylq9GaBc5MbSbrVpd3skWUZVVajKNYaJhFOezo6f8ezpU7rDMS+89jqdwYhaGVal4umzc37y05/h/oOnGGLiSBLFEm0tr3/kY/yW3/67+Ikf+xGePXrA/OyIbhvqekUUt8iyHmnino/pbMGbb93nrXfuU2vD/sEhd164x+7eHr1ul6zVotfrMZ3nLPOcPM/p9CqUVgghiWNnMArEOn1dCuHLHlxtduU7PGMN2kK7rZAkqFpz/OwZZyfH7LVHGNOMp6Lx82xdUGeQF8slq3y5drRJKRFpSn+8R5RmGF8jsVGCG0nprn0UR665TbUkXy4olxeoqvS10GCUphaubrvJpEC4mshuv0er06aqC1arJVVdkbW69AZ90laHKM6Io9hFrrVGqRqjtS+xqKjqipYQSCHJ2intLCONJDIGqAGDKpdMTp7y5P67nB49JRaCWy++xo27L9IejH0GRo2yEhslIKMmH2J9b24rUFZcPhubh8SArrGmQNdLbDHHlEtQ5VdQXL42uZbxdHWZvWwMXTYAtzWw6wb4V3u+LonJrTdCbOoJ3b7t2lZbD1VsdEUnq+xa/mgs0tfkbutllmbMdz0MsHad4txMK3Dpt6x3Yi//pku/b2NoImLiNMOmGUa5cRSfBSAwFEs3Fdru/j47+wfIOEMZQ5kvKFdLegc3MRbKomB+dsaDt98hbXV5+dVXaQ/H1HVNsVqxyJc8vP+Iz33+yxwdnyNbO/RGO6T9Mb/o27+LV7/+W3j25Z/gMz/54zz93L9k2Ovypc9/jrLM+cSnPsHhwSGqrjg9PuXNN97i/HxKlGXkRUmrLbn74ovcvnuXdruD0oaiKHny5KmrN9QGo7VzjMWuM7ExPtvJn5cokq5bfBz57ClDrd00Q8bWdPt99g/GWBGxWC7JOj0MWxHktfNf4Kb2ct20rSnJ5+focoHVFpAYmTEc77vmMUZfNlEao9666y5lTKs3ZDabkK9WqMXSdetXmjiK6HY79Po9ut0e/WGfXr9LVRZUZcl42KXX6yIonb5mDa1Ol+F4h3Zv4DMnDKquUGVBmecUq5xiWVOsSrTpEMeJC8ykCa3dXQYdi0xilwJalVTTY+Znz1hdHFPlM0xdQdphOB7T3r9NuzdERy00kRtXhW8+hHB2ytrbsuVgaQJdAt/ZXhPbGmFqrK59s6Uao5w+Kryj8714X2PxUsHptXxg3MNw1QvDJr3m8pKr618XORtr8Yql2PgKrNh8f63jbllva2FyWYkzuHvH+BQcaX3nvvXXmoe+OX67ObItC/FSt8Ctl8337Xog9x7hdb785rMIXAqT1i5FM0oAgbEapTVxLBmOhmRpTKudYZGs8hXPnh6DhZ3dHaSEvChZrkqiKGIw6JJlbef90RojNPPFiqJSZK02KrKkrS5EKaXS1FVN1O5w4+4LVKsZdbEgjSw7oz7tbos4jjHGMJnOeeONd3nznYdUtea1l17i9Q+9ynhnRNZyRm5da2bzFW+//S5Pnxyt75h4Pbdi7KN4ZnNeBAjpIo+Rb93r5LerWxRRzM7emLuvfIwXX38VZTRCu2JoY4XP2/cn3LrGDq5jp6UqnJdbaY0RAiMiOt0+o51dZ5Q3rembvDzvubLecEySlFarTb2cUpWuU5ZWNXWtkALqSBL7qTWa35L4eqMklmilULpycw112nS7PeI4dneB0WuHh4uy1tR1Tb6qOD4+52yhGOzdopWmLpXGusheVRboZU61nDI9P2F28pRitSBrtxkd3GJ4eIdOf0QUZ2iRoGyEsjHINjbJIEqwW6Go9YDfPL/bgzUWYQ2YGnzdjlUuhVhKSZxmrknTBwzpFUkBW2mU7p9Gnm14jsIJGycV76MzNbKCrUHRy7xtm8C9vrwVt/3m2tlNYoOFps5a4GpxpJe/0l6OUspm79bV7mjj/13/iY0TzG9xW+FeD0TQzFCwTuPePi/GivVxaa0oVzmYJWlkiAXOw5ykpK02MoppdzukWYv5fM7JsyMiCb1+DykEk/NzTo5PaHd63H3xJUajMfNlzjIvEHFKK0tpZRlRnKBrl1hW1zUrnwqUtnu8/PKrdFsJD+yKzKxotzM63Q6RdMbMs6NzvvjGu7xz/zFVrXnhxZf4yMc+xuGtWyRJivEpprXSfPmLbgojYwSd7gBrDHHkpqiQW3U6LsrqjLg0TYjiiLJ2CoQQAmWgVxs+8YmP8ZFPfQvT0kUoXEnCZhy95ADwL4yqyfMFZbFan3OtLe2sw2C8g5UxunGEIYi8UrE94kVRTLfTJa8WLOczqnyGrmt3TqyThyiDTzpARhGJN3xb7ZZzmFUl1tfdt9stWm13PV3XMFdqYY1rFJGXJWcXM45Pz9HSOdeyOHZdcYVAWEOtK1TtFMPjJ484e/qQKs/Z3d3n9gsvMt47IG51qZGYSoECtFcIccq59CmoG5EnvD6yeWKFf5aE1QifZq/UElktoa4Q1hInfhqCDzDXnE7Pe3clErh+La4su2RU+u9ecixt7+GKgbkla91HblwydtO8y27LZT9uS8t67NZb+103MPL3goswWfAGozMivJN5a7/bZ+RqlHIjsTf6pW1M1XVJjaIqVlQJ7pmXroSl0+uS3X3BPR9xglaaqig4OzqmrCr0rqYuK/LFjPvvPiBOMl79yEfpDMdUZcF8OsFqQ17As6NjFosVIopo9Uf0d3apakW+KiiVZbh3wN2XXiadvEOMJotTPvShr2N/f49yteLo2TPeffcRR0fHICSD4Zh7L77Ai6+8wmg4wsqIuq5ZLBa8++4Dnj55hpSR7/peeceY0920Vr6rqTslSeS72wvpnEQ+w0Ibi4gFd1/5CB//Rb+UL7/7mLKsaAob1jr++s5oAjFOhuhywWo+warSXQErkGmP3mjf3XeNbNu6Jzc3owAZO8MuSREIkjhxmR1Ku7msVzmrPOfIPMWazXifZSmjXoY17nvWWtKsTX80ptPvI2SMxWJ8l9NqlVPkS4o8Z7msyZcrdDIiThKXKp3GxLRIotJN25FPmV+cszp+l8XsHFMsIErojffp3HyFnd19RGeItZayrFGldo7/2KXdN/d30x1485PF2vEDEKGJUUSmxBpXu298KRsCZBwTx+8fBfhpNLh5Hu9lAL7fEsdVRav5lr26bO293/YRbQTUNUGz9boxDtcKmtgoU42hKNaaUON7v+JJ2hpithPKvJ2y9ko1HzrB442Y7XXt5rHAWrSuXY59EiMiF1mLkphWp4tJI9CKoqyZTGc8fPCIk5NTDg4O6A1H1FXBdDoniRMGwy6tVuY6bs7mtPsR7X4bEafINCVpd+m0JIOdHUQcU2kXKVNaMzk94Y0vfJGiWPHSvdvsHexijKIsFfPFirfffsCbb99nsSx44cV7vP7ay+zsDF0XLOlEaV3VvPXOfT7zuS9yPpnR6XRctNFHGaIoIorcRMqN965p7OCipE6xs9agtEJrS4zg3t27fOM3fROyf0hdKZKkUUq9Me9rWdw1c8dijWa1XFDkS5c+ZMGIiO7OPp3BEOXrHV36kb1kKFmvTMg4odXpMjsXKK2IfT1SmqakScR40GPoJ8CtyoI8z6mqinar5SeENcSJm9st8xPWru8NHxHQykVYVFVRFCXHxxc8ePCYuDum3cpIE3f9jdUYVVIuppTTUxaTM5azCZiawc4+BzdvMti/RdwbI2SCNiC09VN14Bs9uCJoi8RpfYKmjm4zxlk/lYLw9YoKaWqErsEohHD3ZpxEpEn8gTQW11O02I0ht61E2Ev9qa+bgo1TyW4JoLWeJDZOtG350mRSC3xNoJdLtlnmvVxbJlsTF/INiJpjvJwx0UyLcSlK6RUrX362NhaV2fqXTfOHLQl7KfWrkZlCeGV767Q0R2q9EmaseybLxRwzvUBmhqyTOSU8kugkRUYx1hoiIZlNZrz1xpucnhwzHg18inbN2fkFUZJx+8WX2dk/pFi5lNQoyRiMO3TbguFwSJqeUumaTrdP2mqBiBDS1cssljnT6Qyw3Lm9z85OnyiOqOuKp4+P+Mzn3uCd+08QccqHP/IRvv7rv569gwOElNRKUxYF08mEJ4+f8ulPf5rZdE7acvV6Srka3kjGCCnQSvkyATcHYBxLsjQlilwjGGsNBok0luliRWe4wy/61m/naFKQtHrrroEbtclnQAhcCpIQ1Mo1BqrLwkUCraBSMOoM6Q52nPfZOgN2Y3X6Kj1/EWWc0ur2yCdHLPMFuijd/Kq+dsfVTUrfSAEiJBGQJDFZljr5ZMU6iyRJEteoTQi075jk0mwV8/mC+w+f8M79J6yU5d7Lr9PtuPk1m7rEuq4w5Yz84ilPH77D5OyULIm5cfcFDm7eYTDecfXeIkIo4xVJP64YixS+Vf/GL7bmqrPHOcUsWA26RFcrqFdIVSGtcI0zstiXgHywuKZ72esvryaSXTMUtxZeMwyfx/Yycf2L64hhc897ObWpleaSLdA40kyzThNNbGTT+sAanUx4mWTROEdWYzRermRtymHc+Lm2C8Vmn+tvN7LSgJvztEZVBapcoVPAdNz0CNbQbrcgHjtHklLU+YqTJ09498232d3fx2hDvljw9NETtIVXX/8Qg+GQuq6YX1xQFDntVsvN6+c7EXcGI9LDez7LQlHWNYvVismjR7z5pS+TLGbs3n6ZV1+5w2A0ZDadcnp0xuOHD3h2coEQkjsv3ONDH/0ot+7eJU4ztNLM5zOOj0959uQJ7757n+l8TrvTRWmDqp1OFEdORri6PncNmxTUJI6x1qWs1kqjjdfURMRg95CXX/8IF6WgrEqajKar948QILweiVCUywmr5cRNE2YFxkKrt0NnMHY65bq85/K95aLRwk1b1O4hopRalWhjgIhW22WLdLsdkiR29Ya1olitWOU5Aui02sRRBNb19+gM+rS7HRCuU7RSFWqVU+Y5VZ5TlQVFUTCf5UwmM9R4lySWxFaRYFytdrGgWM5YnT1ien6OWpyhraE1GDM4vMt4/yZyeEgSRc6J6+clNsYSxS5Sarfmk73K9vMiLS6qSI0wyje10Vi7MRQb+f1+fEVj8XLDg2sLry8VlxZc+vKWX+bK55tIx7ZEumy8bTwQeEXF0twgbivbj/zliRt8TewVQbIpnm7W3rLMgUsaWPOztjxkjeF3+Ua36wjj+ojt1vdwjVysrokiQRzHRLF7YCKRIHRCURdMpzOOj054/OQpp2fndDsuTatWmuOTc+qy5IUXDhjuDLBaMZsvmcwWJN0hWadLu1cik5SkLRmN9nnhlVdp+RrEWhnKsuadt9/l3fsPGPe6vPrqS3TaKbPpBYtlzmyWM5lMsMawv7/Dhz70Koc3D4gT1wYaAUYZLiYz3n77Psen51TKkBnnkRWyREiIRUwcR+43++sohVhHFJVSaOWiAUprtLJEMqLX79MfDlnivD+JaQYQX7tpN0q2l/1orVjOp85YtMbV2yQpo4NbRFmH1VY31uZ6CtlUkLptyyii1ethEFRVRRQ5jxq+QDnLUjrtFrHvNKlq5SILPi0jSRMyn7PvUhth42HXW4aioigrTk4uePPt+5xdLHjl8A5Zlrh551SNrkvy2YT52RHV9IRytSRLE3b2Dzm8dYv+aIxMuxiZog1OcFUVdW2oMJgkQyTgJsLwCY1i06Zl3R3V/6dRoITVSFODVSAsUeSM3yRLiZOY+Pmenq9pGuX2efpO85w/d8mWwbb9+eX7zG7/c2lbjRGwbZFZuZEvm6imXSsu28qSxTfmaUSVAGHF2jg0oql73LSTb2SpNlBbgbFibSwa6zsEr6X1Rvxtp8o2jtxIbJS05qc1vhyDU4zyfEFU12TDLp1ezznIpHQNDqIEXdecHR/zxpfe4MH9ByRJzK12ByEE+aoga3e5efdFDm/fwVjL8fFDLs7PObx1x81zWJXrmp+oJXjh5ZcZjUe+hhKKsuTs4oLJxTmjfpeXXrpDp5Oxypfcv/+Qt958l7OLOYPBgLsvvMjHP/lJ9vb3MdagqoKyrDh++ozPffZzPHlyzOnJGdZuuv5p7eoBmwmqlfUp90av5Uar5SLydVVicXIviiLKsuL07Jy8qBFRSqUNqdKsc72ba7YeGgVWuHO3Ws5dGq9XqgyS4e4BWbuHxqX3u+5FjXdUrm8Ui1MSWu02CElduSyKKJYuxSyOkbFTjmS0aeyFgDTzhmEUkaQpcRyT+GiC8BkXWNctuipWXJyf8/b9h7z59gPOpzmj3UP6vQFJnLg0KDRKVSxmU+bnT5geP6Rczuj1e9y8cYvdwxtk7T4kCQoD2tWTW6W8h1ysHSZrfaRRDLbu3wbptXyB8VHFGl0XCFW5Bkapi5JmWUb6M3Sn/3zk+VJuw1Wd+5JmJN7/u5e+s7WgmW95W2aK56zT6G3GZ0o0RqO4/DWvA7qX0m/M+vmSLxmWW39NFoa2jY64MRqv/QCvYzb7vFQr2fxoixvXLWjjMoCsUi663Ux27qeaMtZNS6OqitViwenTZ7zz1ttobdk/OATg+PiYoih54eVXGO3uoquS6fkF+WxCfzSi1ekwShPa7TZRqrl5+x79F18n63SpjUYZw6osOXv2lJMnD/nQIOH27UOiOOLk+JSj4xOOnp2yWMxod7rcuXuHOy+8wO7BAdpaFhcTznwWx/HxKfmy4PT0nFVRMRiNfTqpXjeUklL6qGKTBi98Z2iXhl8pRe1THK2fMsgiMUKQttoUZbkJ1tiNXGryFdcOSasoFxcU+cJlztkYZQSj8QFJq0eJoZlZ1fp7jfXWmleSrN1BxhlGr6iqiqquWSzmzKczer0u7VaLOE3W2SFJmpBEEa1228nDqEXWapG1OoBwZRRVSVkWqCKnKgpnKOYFk/MZxydTVwa25+Y0jPQKU86p5yeoyWPmk3Oq6RF1VZFmKaODmwxu3qUzOnRlBCJx942qXZ1kVWLJnIO1MRafZ5k1z4DdZBTFwhAZhbDa1Sr6cSGKE5LU9U2JfiZpqJfO99XzL3iuyBFXv8/zv9cIi+1l4soXniegrt0GjeDZtPO7bER6S279wIstA/Lqdrck31XjERqFcKMYmatS0itx2ylh7ng2xg1CrL2tUUv67kv4yUvdoDebzXj65Amnp+eUVc3e/h43bhyye7DvmxkIWt0e/dGQrNUiz5dMZksWecnNNHMpXa0lVkhklDLc3ePg5i2ydhuQKG04Pjnl/v37GF1x5/Ztdsd9Vvmc09MzVF3T7XZ58e5Nut0u/dGYO/fu0O52mscRa4VvTX/B6fkFRVG56S+M77Doi5ajyAmQuq4Rwnf+k5LYRxVVrbBWI2ga+HgjRrgJ58EZWU3+emN4b99D60unavLZhLos/PUWZJ0eo/0baCnR2gl2KTYJeesuuX5IiSLpCpZlhKpr6jhyBq3WmDT295SzXJtOX0pp71VLyJLEGYrSizzjOh9qo9C1QhvX/GaxXHJ6es7To2PyVcHO7g6HB7tINHWtKVcl8+kF84tT6sUFqbWMd/fYv3HAzsEBncEAISTaCFDeSCxrqqqm0gItI2xk1t3+LgXGRHOvbk5gc79KDNL6yh/bzKeUEGcpcZq6qAMfvKYPWjcqxdYJ8bJjI9K2HV32kni46oTYfvNeqtkmaolXdvx738fJCjbKz+bILq+7/o837rxt0LT4aKYHkH6ajeZ4XLTKGTYuGO1qeVxEc9uHvvHqN81yrHc/NDJ0e37FJtVcG2eAK218BHCX3rBL1k4Qwk37EAmBMoZnT5/xpc9/kaOjI3r9Pq+9/jp37t6kWOUYGdMdjLhx5x4yTjk/esbRk2eUyhmaIkpQusCC6+7ZHvDiy6/QandR2jLPV5ycnnMxmWKt4uBgl9FoQL5c8OTxI54dHTMcD7j30kuIKKPTG9DutFznTuuar2RpAtZ5/lVVEnknSxJHJEnqzo1Pz7TWYnw6vTEuSpelKVmWUdclda1Q2jd9UIq0ExELXPdm0caUJUorIPE2T9OgzV8LL6vqsqTIl2tDVRuLiFJ29g/9NEzNfeRuLtk4g7a3hSBLMxA4JRCI4pg4SYmTyE/z1EQYm/27FK40TUkSp2Q4R5lvyOPnftWqZrmYc3x0xLOnz3h2co42MN7Z4catW/T6fVd6USvKqmY+u+Di7Jj84oTY1ty8eYsbN24yHO8Qp203oTVgtYvgNNFbYxTGSBeFNr6D4db4e0kXbZ4vms6nbh5Fq0owrh9Au92i3WmTZq4cQ3wApwl6nkBqRMhG63kPqdU46bfWu6yuPt8Y3C7tuYTXI4XXkxp3RtNp9Kq//nn/NoZg4xy7tN+t3+OMRbHO6DBrPeLqUW12ur2f7fFy/R3fZEGpel2LHEXSOczBywKNrhXVcsHk/IzzoyPOTi9odzrcffk1dg8Pmec5Io554ZWX2TvYxxrD7OKCJw/u021ntNst4lbGuD+g1+ui9Zw4zdjZ2ydOM1bGyZPlbMbTB2+jiwUvfvwu3U7G+dk5z47OODufgDXcunWTW3fvkqQZBijKCqkMqqqIo5j+YMSjh095/OQZZ+fnaGNotdo+g0IQRy4AAE5uNFMERUISe9lTK0VV1dQ+ECD8/IR1XaG1JklT8qra6OXXbjf3gRQWqypWszNU6eZm1CbFipjR7g2I0ks3xHZd6/q/3lERpy3irE1mVmTtlkurT1PSJCPLMpeauh6DnZGfxjHtTts5xWRCmmYIKTD+eternLIoqIsVq6JgMZtzcT5lOplhRcqtW7fp3DokFQY1P6OYPGN19ph68oxqtQQU/dGYnXuvMjy4iewMEMJFZoUxrta7WFDlK4xSkLYhSrzh7Vs2bXtQaHRZ1iV3kbBEjWPMKJ96KojjhCRN1nrdc8zOS3zFqTMar/b6od3K53ieYLmsWL2Xmei3ufWJs9Osv7DXH99t83JzLFtCad01yR+Z3ezB3UDuod5OR2mMt0akXBV6G4PR/8q1Zib8AHS52HvtVsddMNkITrtJSbXCz5GnaiKZIiPXhh5jqaua+WzK6fEJeZ4zHA64/cKYXr9Hp9sl8WkCeweufi5JEupacXE+5fjkHIMga3WIk8x59rXfq4UkSZHCdVzNF3Mev/sO07NjxsMuNw/3sFYzmcxY5it2RkMOD3YwViLimP5ol8FwQJJmzsDzyk6+KrmYzFitSrR2sQhjNHXtup4K8B0Cm05XbuLkJvJmrXEdt4z2KUTCT6gLZb5kMZugM4Ho1K4xTuMQED4CxiYNVQjXXj1fTLGqormL2v0hw70bzvdk9RXj0EmW9cSm3gPW7Y+QcUZVa+LE+PkhvRLsi7aFBaUMRVlRlSVx5DpmNRFTaLqAuQJwpVzdzipfcX5+zuTiguUyp5W1+NhHXme4u0t3OABdukjG0RnnZ6dEtmLc7XBjf8ze/i7d4ZAobWGF8PdRRVWUlKsCpY0ztkmd4holCBkDkbdEtp7dLZuowfv9kFa7FMZIkkSJUxzjBCI3J9Kl+eM+IGwcPxsrbGNaXVqyxea712XdZWNyo109Xwlr6qrB1yIKHxH0Wlzz/FyWvs0uLksuYbc7p/o/6wdemqYOTQTRedrXEUV/2M/z5m8ksFfsnEDz/24GauNlntYuTtDp9eknLeIscvXBxjUCUMWKJw8f8bnPfp7ZdM7du3d55fXXuHHrFlEsYCLpKk2n28Nay/TijEf373NxcUF/PHLKjsV1A/ae4F6/T6fbw1jDqqw5O59wcnZOWa4Y9Drs747QquTs7Ih8lXP7zi0ObtwkjjMePz2jKAuqqiLN2qRpizRLEcbQ7XbotNtEcrY2uiJfc+2UJ2cwKaVoWq6DayKTZRkARVGilF47rSIZ/f/J+68nSZYszRP7qalR5+5Bk+flVV1VXd2NmcFiF9KYmV3BA7DAPwgRvOE/gAgesAIZDAYjmCbTrLqrLr/Jgoczc+OmqnhQM3fziMi8twG89IWJRKa7uXFTPXrO0e98H5PJGKOVpbwfHmMqQzAc4/c9i3oQ7NWG2tlSRZrEZEliCSYw1HWNG4yZzo6RroeuTQO7ZzuGt/+2s3CimfUUoqnOEqIJFu29OI6VC9qNf9ZWSte1hF5BgO/aWkwhnG1SLU0TFvM55+fnLOZz6rpmOBpYqYtoyNHpE6IgQKuKoiiZz6+Z31yhyoxhP+Tk6Bknx0f0+0Nb39WQa7SkDLouba1RZVEpSru00/FGGzuetrVqbR+651AYG03rCozC8116vkcUBgRhgHQlUoCp3xM0/Qte3ntHd+xYt993P239vnsx1v6+e+cRD6zbO7g1OC3ktLWHW5sjdt/vnrplQjXQ1OmyHeDaNtBNru0l2njIdrfnFR0buL/Tdhar8StVq93XwM5daV1rrQ1GVVR5zvL6mvOzd6iq4umLlxydPiIYjAFwteb06VMGgwFSGDabhMu3b5hfXtJ78bTxUxwcaaGCQjikSYZ0bV1tVZVUecrt5Tm3b7/j8eGE509PyLOEi8trkk3G4eGM46NDDg9mFLXmZr7k5Pkhg8EQLwhsEsxxWCzX/NVf/TXnFxdkWY4QDlEYomtl0RSetXet/JdunonrOo0smGlIAWuUsbNbLqYpE1pTFgVh6BMnqvEZ28Bw57e3z12i0aogW92gywIBVFrg+n1mJ4+gmWzZa2pb+ZXmrTW2TkgX4UiKtKAoS7QyuJ5LFEX0+32CILBw086L7ochYRA0upEWPdJKYxRZSpFuyNKUJF6xXq2J1zFlpRmNxxw8ecnB4TGFN6TIYzbza+KbM+r4FlGleK5k+OgjHj17iXtwinR9jJC2rEBrqDLqLLP8GWWNkCFG+minJSzczsGy37tEE3+0cYjGQdnEVyMbJ10fLwhwfR9HtqVS/9+wocIdeNX977vH2iHLoIGi7MK194SOTZcUHbBrB37QOen+MRrY6DZ4u2PV9s61Z6FM58DdgtrWCjXZ073ru3P/nWsyd39onGhbD6l3V9FJj7UDO0bZ2aeG+EVVBevlnIt3b1ku5viex9HJMcPpzE47C2sSPd9nNBqRpSnLZcxmE/Pu7RlJknN4fEwQ9VDakGU5daUwymk+16haUVUV1xfvePf6O4QqOT2YMoh8kk1MURQMej2mkxGedJivNlRlQRAGBEGIkBbT7QrJZrPm9nZOmqZbD1M4znZWsXUsHCEaPcgajMHzJL0oZNALSbMUVdsiW+1Y/R1PSjBwdXnBmx++Y/ToY9zBrNE0c+8E+wbQWF1HTZrEpPESXZe2U7g+o+kh/fEMZWwmpi36bQXO7eux70dh63KiwQg3iKhVZuGJzbAhDNSVspk4jIXrxhs8CVEUEDYSFxZy0hR2G0NZVqSbmNVyyfX1NevVCs9zOTg4YHZ4RG8wwPE9agN5VbC4uebs7RlozbPHx7x4dsrh4djWQErP1l6oGl1VVFnaCGWXtpZHBpbS2vEwjguNfIbZFvJ0QoA2iUJHq89ohLE6mK6UFh/vug2FPo0W5s9vZnHXV7vrup8edHV267aOjLn/273V+4NZm8xqN2kDvRaS1S4Pf943fq3tVB0DuKOMF1u71f7ZwM7WgOj2t63Z2s0qdh3BPQdMdJ+O2J4RdAMRLLfXppSV/RF1TrZecfX2Nd9+8x2oil//5o948fEnhP0+ShtUWSGEgysl2SYmXi65ur7m6uoaz/MYDcc4jkOW58SbhKpWONJtAheBUlbqYbW2NtIxhoNJj9CDxfyavMg5PD7h4OiQIAi5urjh+uKCw5PHDIYjhqORZXF1Jav5nOViSV6WLOKYTZpt31VVVriuS+DbDLeiDcYsSsHzPMIoaiDoNTQEW9ooPNfWxF1eXVAowZOPIZzarLWUtmGIbndtfIK6tEQYRZFb26k0da0YTCaMpkd2htiYhoBkl2C1qIpGPqd1qJxGI1K6iIbESohmXQOF1bq16aqBaXoWVttA7aWUKG2o6prVas2b1685Pz8nTVJ6UcDB4QHRYGBZKGVAvxci0KhKE8crbm+uKNMNB5Mhz548YTY7bDL4EmVs0NvSvOu6QNcWhqprRV2DEgGODDCOt0v+Nh3roeCnteWO0UijCaSg5wWEoYvn20BZGN2cp+Dnt9yxdWKvezd+3D5stPtbx1V676H3ljv24+5v20O9b9/mGrYhoWDH9Mjuve7Zy25w2F3VsbMPTUl0L2MfhrrfjrbHMHY700htYZSV/ZIOxlimc8qC9fKGm6tL3CDgo89/weTw2GpJV7Utfen1rNRXWZKsV5y9fcPF2RmOcAj7AxzXJn7jTcLtcs1wOGC1Wlkma6XJ85z1/Ibrt69wqg1ffPwrHMfh6tKS03z62SeWmNAPKIuSdxdXDIYTTk4fEfX7ttxGabI85Xf/8HesV0tm0zHz1dr6ZZ5HlmV4rrRkYtKxMjqN5qEQgsD3icLQsoLWlrDRYANQYwvYuTp7y/nbHwhHhw18txUu240ju3ZhS2KqPCFbzzG6wk5WSCbjA/rDCbrBy9yPAZpjNIGiZReXSNfa6Za92nUkaEOZ5Rbmaax/btmbNfLJI3h8aNuAY+1qXRZk6YZ0syZZL4nXKzbrmKoskW7Ak9MTjk6fEo5nYBzSJCGe35LcXpBvVsi6xB8MOH38hPGLz4h6A+p2htRYspy6KjCbJWm8oswLjAxx/QCk39g5x9bU3uksFlXUTKQ0gbqF8mobawiB60o8XyJ9fyv1BKB/RCboJ0hn7Pfhh2yEubex2RmgTlbzwYN3jZFo13SYAjvbb7ndtjFf11FrZ5loHuLut24O/t61dGcHzd3g0Oxa8N6z6DpO+1cqmuMI9g2XfYmNYVF25sZ1bfGzrkrS9Yrr83esVyv8IGA6ndAfDa3gvbK1L06jReN5LonWzFdr4vWavCgZjceMplMMgjRJSZN0G3ijtSVpqGrSTcL19RXpJib0XaLIpywypMmZTAaMRyN6UUgcb7i6mjOYHHJ4dGw1gxDUxnBxccVXX32DNnBycsxilfDm7KrJ8LMNAGVT61KWJVVl4TwOgjAMmuLtqgk+rIC4MTaTrTGcnb+j1IKXlaB/8AgHQ4Nc3cFTjJXf0NisVRqvKZIEo2ow4Loek4NjnCBsmNJaj2vnnNtws9Gka34Lez16vT5lbEVKraC2tO9Ca8rCzuit1jFlVTIdzxj2e7jSEtzUtWoy9w7JZsPV1RWLxZwiy9FKcXgw5fjkmOF4bJkDHQfdzC7XVUW8XlNkCY8fnfLyo2cczEYEgW+Nbuvwq5o83RCvFtRFDsJDehFCODbbJiVaulidRZq7bOUzdq1TNOlawU6cWjoCaRyk49GSASqlrO6ZKtDVz8+B2k0stj28DeU+ECh2RrddEu39XtS9RPyd47Q+VZdKvGtvujZmL5nW2MStzTV3ftsbSO+2f+v+NSWbe8Hizonbvx/bZ+xAvLttsfc87KItXCfbkFclkfDwpEHlKTeX57x5/Qo/CPniV7/m5MkTNILlcomua8IwwJUOQRBwu77h5uaaTZwwGAwYTSZEgz51rVhv1lzPl2SlQjQSHZ7n4TTOfp5nbOIYVRYIIynzBOqS8WTM4fERUa/Pernm7evXOEJy+ugxw9EU3w+RUpCsV/zVX/4lSRzz/PkzXr85t0LOiq1tc4SD7/vUtZXL0NpYhmZHEgYhg36fJNlAC+cUNBByxXK1ZrXekGY1k5OnhNPjznZNMqGdujW2FrKuSvIsQ9XKJqSURmmYHBwRjcYkpd4lC0Qn4Idd0qiJHh1HNIEhSKyN2xLbCLG1j7qpzXJdlygM8bzGHhlrG7I05eb2hlev3nB1dYUjBI9Ojzg4mNHv9xCuS5zmZIVNNglHUSlNHK/Js5zJeMLTZ085OjrC9SwLeG10Q+1eYqqCukioirypf3fQWmKcABmNEVEjEdTSyW+XbgKj+dSgUhyj8RxD6LqEgUMQeDjCsvdSF5gqp8xSfm7LvYT/Q1/vBXf7ns8+9LxZt/1n36VrUQp33Lydqyj2bWMT5zeuY9f27fuYe4njrh3qrOt6fWa364P3dHfZQ9+Y3TWZzgktXNZuqFSNbJJEQghMM9uYrxasri+Jej0ev/yIwfQQVSvSzQZjoNfvgzFkyYb51SXJcoFWiuNHp/QHQ8YHM4yQpHnFX//Nl+SF5vnL5/zjP32J57mWzXOTML94RzK/ZNjzGPV9rm9vcT2XFx+9YDgeIQxkacm7d+esNzm//M3HTTmLDRRWqxX/9//wH/nyD//E//i/+99TlBX/h//j/4l1vEF6LmTghwFhFDSasaqZybelRcPhkOFwyHq13DJBm21ywT6j2+tz/st/+g/80W//ZziTl9R1BY6//7BN66YIJIp8s6RIVzbgQVAZl8nBI6QfWL9OdNuU6fR0s303uo0fpMTzA4IoIgxsnXuv18cP7ewhxqBqRZ5nVHnO6ckxvV7fkvloG0Rmm5XVYVwvyZOEqixw/YDJ9JDp8RNG0xnSj6hrQ5ykxMsl8XJBnWVIRzI+OObw6TMOTk8w0RDTBLMoZZ9pHlPGS/LFDWmSoNwewWiE8UKQLsaRW6tmxD5b+bbtInBEk/hnh8STnovr+ri+fRYGEMZCmOv8w7bup0lndHqTudPr92yKeMCY3OmY9kfRtRSdg28ju+bjrjOLzkG7xqyFGwrRPdX7uv/uOrtFDPe2fthONh93N3/n6h489947FAKjDVrX+J6t+xBAXRfEq1vydMNoPKI3HNHr93AaJr66yT5JKTEtm50j8IKAw+MjZocH1hA6kixLqdKM1SbFSIl0XFzfAwxlWbCJ18SrJcJoAt/Fl4IolMzGhwwHPfwgYLmM+f7VWzQezz/6lPHsEOlayOsPP7zhr/76b6irmt/+8R/z5PFjxuMxl1fXfPPtawZRiDGWZlhKx+o1NvAkGmdjOp0ynU6J49g6JsbmBF3Px3E9tHBIs5zz83c4/QOefPFbj8dHxAABAABJREFUK9TcpEqMsUy3hjbAczC1stn2LLFvRnr4/SHjw2OE61mYYZNluMtvu5uztn+e6xL1BlSbxbZtOY5oah1p6hRrjNFMhn1ODqdEoW+vT++gFdfza969fUsax4RRwONHJwxHI0ajAVI6lFVNXddURd3IfDREExgOj6Z89NFTDmYjpCst7NTYQm5V16TxmturS9LNGs+V+KG0z8aR4Lg2u+m4GMfZttO2r3RbbBs7tjU8Nih3cIWHFA4CWxdkVIEqUspiQ11WD/erf8HLfQfqIQCquLfN/Y/3DN/dpOd2ZTvLbSFWnXpIYWcGbct+4FpF11m7c/67Xtqdq+7GxN3AsJ156v7e3We/WlN09mlh3N1raWrX6tpCBssMpSsI7f0UeUqebhiORjx+8TGHp4/J84Lrq0vSZEPo+zgOiCBESA/p+0TDMcODY3qDIdKRVEpRa2X1DvNiS1rheR6uI0ArqjJncXPN8vYa32QYE+D5HsPxAcPxgDAMSTcx3371JYvFii9+/WccPX5B0BviAFka85d/8V/4/e//kX//7/4dv/r1rwmjiOViyeXNAoHVWnVdF9fzSLPMzugZm8X2/YDxeEx/MKAoCqR0Ma62tVVag+NQVpWFj69XLNdrpk172EoM2WEfRIPWwFCrqgkWa7SGWhmE6zE9PLSMdmXetK02gN85FC2l+rb/CwdHSCyUX29nHtu6caNt8FsrjXQEYRAQhVbAuqoqlHLIkpjLywvOz85J04yjgxknx8dMpiO8wGbMy7JiHSfUZdGIP2uK3DIHTkZDXjx7wuHBIb4fgZSWQbFSqKrEVBl1HpPHS5I0ARy8YIgbjnCjCaJ/gAmH4HpbrbBuN9iWXG5br7Gsryg8R1jYoGt5N1VVossMla+pspg8/fkFi+9b7trAtrbV/nhn2wdWWsfzPcfeiwX2beNdH7I92Nb/fCgP1dnvXnqutal3tmu5I/ZPdPee7Kf2mPtb7W5im5yjSUQYMNrOzPueh+OIJqEbs7i9IvB9jh4/ZjAe21ruomS9WOB6IYEfUCtFvF5TVzUHj58yHo9tcrrW1FXBch2zjDN+ePWGx88/xgkjXN9jNB7ZyYAsIZ5fUW6WTHyXJI6Jpi6PTh8xGvZxhENZlVxcXPPVN6/47I9/y8HJCcYYqqLk5uaav/nLv+arL//A//i//d/wZ3/2p5ydn3N4NOPy6toS10iHMAzxfX+nmY31wTzPYzQa0R8MyLIMR0pEvav3FY6FqpdlyesfvqM3GPH8z15uH/qe1IPYeWaOqUjWc1SZWrthQMuQ8dHjxieyQUxbAvFgY2hbq2lKglRNmZZsVmvmN7c7JucmAC6rGqVqAt9jOhpS17W1u0VqCXGWtyRxTF3ayYThaMLg6BEHs0O8yLJZV3VNmuasl0s2sSXm8XyP/mDMyekJg4NDhB9s0TtC27FSpwnF4pLN/JLNJsMYgTs7RPo9hONhdSdbg9b2pjvjb6evtRNUAm11Hpt6U9FoaxmjUaWtf0+Wt3x0r1fslp8ws/iglbjz+W7Ad9c9Enc63l0js8+Uen/vzqWI/Q7cOjLG7P9wr810r3TrFO04VB9e7h9ld537dBei0yjZ+8z2eVjnzAYUvufgSoHWNVVZUFUlg9GIwWiEH/ZQWpEmKXG8pigKm9GNrLhnWRRkWU7g+/T6PQCSJGGdpNTLJaUSll3PcZFYtiMpBaYuSdcL4tUKx4HZdMDx0YTZbMR0HBH4Pkma87f/8DW/+8ev+fM//7ccHR/hSoeiKHn37oyvvvoK33P541/9ES9fPMfzPD56/oT/9t/8ltEgIs0qbucryrLA8/xGuFWhtMIYRa8XcXB4SOD7dhbAD3AchR9GjIaWzt7ORFYUZcnt/IY8SzE0grudDJStHbLOal2VJOslusrBaLTjEA4nROMDtOOhVcUWutxCpEX7pppO10JvpMQLraNqxdN3bURpTVEq6rIi8CSHszGTcR9XWgdQQPOszjm/uMCVgmfPn3J4eECv12to6DWqqhBoyjInzXKElEg/xBEwnQ6JgsAGipKmptXq4iityZIN529fcXN5iSeFJYFwPVxpg0PtOGjhguOCcJtWu+tV7UDXZuScxnmSGKQQOK5EaBca46rrgipbkyxvyZKY+udXsvjegeahQGt/x/vru2mkh5atDeo6Rp2sdYcA80EZAJq8xz0USmt2tvfRJEFMc6A9N63rRNHN0+2tfyjQbQdyvc2viK0Wmm1Yts7Nsj7b+urAc629UyV1XdEb2tq1g+NTsrLm7dszLs4vkI5gMBxQKoPrpihl+1vUH9EfjS2ZQ5pSVBWO1tRa4PkhQSip86oJ4GqKomQ5nzO/uUKXKZNpxONHRxweDfFdg+sKNus133z5JV/+4WseP/+UFx9/Sm8wtLIU8Zq3r3/g7N1bPv74Yz7/1R8xOTjgf/Hf/jds4jV/8Rf/lTS3Mweubx2oPM9tbR0W1dAf9JlMxgS+lZTw/KCp37ZlGkEQEvZ6rNYxy/Way6tLXnyhdnI7bSNodJ5MMwNTFTlZskFXFUIr0Ioo7DM7OGyCVdPAvkC0MK29JmIJytrEmSNl884aiR2xpcPZ1p9iDL4fMBj0CQK/kQapyPOMy4szbm+vkY7k6bMnzGYHDIZDgtDfst4WRUlVFtR1aUlpqoI82xAFLkcHBxweHOAHgZVnbJATqspRZUqVLSniBZvVnM0mxXE8BrMAb9TD7U8x0QjtBhaGv4Xu7kZnGzDuyk4k4BiLZnEFSKEtpLUs0GVGmazIV1fkaYzW93rfv/jlYTt2f+1DJUcfOmDH7Ox/f+9JuW/czAPrG1vXlRrqHu9BVSOz93HfTrcrOga0a7H3/M3utTS+rejuZEA4bd22ZYIPwtBKAxUlabxCSIej0xOi4RClNFmWcnt5w/nZGY7XI0tzhOtQV4rhZMZoMsHzXAsLrRLm8znSDVEGyqrG83xulgsGgyFRFKKaesVkeYurCg5mQ2aTAacndtLBGENZFJy/O+O//NU/YpB89MmnuK7H7WLO2evXXF9dsby94b//9/+OP/mzP0WbGkcI/uiLzynzEt9zEUAYhQ1DvNqVGjmCKIqIogjHEbieix8E2wSelJL+YITresyXC/I85/L8nJcd8qwWGb9LhDZzkjonjW9taZExKC3wehNGB48sVmqLFLs7uj2wNMk2V7q4kcR1XXw/wA8spN5pgsWqtOQ1/V7EeDrGEVDkGenyluVySdn4o9FgyGAyYzqd4Q1nuI60wb0qyDYbbm+WrJZrlBCEUcgw6DGZzRhOxo1klIXCYwymKqnTNcnNOeurC9L1klT2mUwP8AdjcAO2iX7R6IR346V7mY1tSheBxsFqAUtX4siWPVpT5Rn5esl6MSdN4g8+vh8luNkGONvlfkRmMNvI3jo7d2oGbQjbGBKx1xNbXLj9zTQZ9k6Rcme/XRbqjme3FwHeDeO6dsXsHbN1xn6KUdwZkI4l7HzYy3KZ5trZf2721Bq0wpMOAguVqisbDIbhiCCMqJRmPl9ydXVFHMdorS2jXhggcBpdQkMU9ciKohFkzai1IdBQGWmnql0ftIMXRHheYMlwFnOKPONgOuCjl484OuwRBBLhSNabnL/6r//If/zPf4PS4EcRVV2yTmJubpfc3Mw5OJjx6PSUk6ND69QIg+9LfvH5x5wcHfF3v/uKN2/OqCvFYNAHbICltX0vs4MZg8GQ5XJJrSzLlvR8ZodHTGcH1HXF4vaWTbze6ptVTWEzrSMEtLRp9rlrqjJjs1pgVIk2CuG6DGaHhMMxLZlH++7a1qlNJ/PcBFTGiCZAtFITqsEFamEZvixLqMYVhn4/ZDSICFxby1kUqikov+L2ds50MubpsydMxiPchtDHkjXY+6jLini1JstzesMhQSTouQG+7xFFPkHggjAYo6hrTVlWZMmGy/Mzzl79gKprTk5P6A+nBL0BwvFRjURGC0c1W+bXrSt/Z7EjnkOjyedYqLCDgFqjqoIiWZGurMZjWRY4bvij/eVf5PKAh7C3qrEf95n9Op6IENw3l53oq/lP7EEh2EWrDzhPnUPvXarpXFw3qBN7+4ody2rneF0babZwEXHPady7V7Hbn5Ysp2tr2wtsEyxGIVD4novvW4iz0ra2cHZ4wnA4ptaGd2/P+OHVG/K8oN/vI9KCOMlRSjfQTuj3+xRaUFaa+XKJcCST2QFaSMJen4GoKFQCWFmKNCu4vbklSzZMhhGff/yMp49P8GSNVgWrxZJX337DN199TVnWHB0f0R/02KwXXF5eEq9XoDW/+vWvePzkEYPBgKquGE2G/A///Z/z5PSI//Af/1+8fnuL8YLt+2zld3zPZzQa0utF0IyPrufZmjhHAoLZ4RGj0Zj4yy9ZrxMrVdTUsjtbh6B9LdZ5MsZQZAlFmlgNVG2JXnqjPuPpAbXakdfQqecxzXtuIfxGtM6G2FLhC21hXvd8LtM4fP0e/RbxUpWkmw3zxS2b9YrxaMTx8QmT6dQeS0oLc2p0KPMsY71eUVSaaJAjRIUwioPJkMPZhMD3rH2sDdooyiKnTGOrr7ZZkK4XZGlCXQv6ownRcIbXn2K8HrVxMJoGfSIa+OyOQ6FtoU7T7iU2SPQcg6ttDa2qUuoypkxWZPGSMl1a2K3X42e33HN3Oj5Y1495IE5ux+EPHnbf3O1sx0Mnf8C1tMn/3bqd3/fBy3/wYu8iPu77afevoXvdD8SVtp+Lru/QbC+EDT78ACGslrZRJf3RiGgwQBtDtsl49/otr169I44ThBdyM19b0hjfY9jvkRYVvudT5hlXV9fUdc1nX/ySUhe4XsAmzXh3dsPR6RMcYSiyDZvFLWWy4uRgxC++mPDs2SN6oXWSiizj/GLOf/3rv+P3X73jX/2bf81gNGK1WvHq22+psozpaMjJn/4Jv/rNrwFYL9cUeca//7f/Sz7//FP+0//zL7hB2aCqM0i1ckG9XoQjHYqiwBgIw9CyqEsH1/U5fvKCXq/H/C//yuqurpYoVe9g75133Q6ZjgBVxKTxAoxCKaiNw3ByTDiYoJoXo5s2c79pte+88fe0he3XdWUZ7MuSoqoIqoogCKw8BqDR+EHA0dEh/cGAuspYr1ZsFnOKosDzffqjMaPZAb3xFNfz0EgL5awKsjjm9uqKq+sVjpD0JhP6vZBxzyfq9xv+B239SqXQdUm1WbK+uWB1ecZ6kyIQ+LMjegcnmLCHFrJN/Vr71ujtvs9haHu0MBZu7zgd22jA1BV5lpCulmyWc/J0s5Nres/ywWDROtNmZ0T2Ujq7oM90PkM7EO0unN0edyzSPrNpy2i666RdR6gN8Ezn274hEWL/t/1lv+HsLmX/ezfQfShhtVvx0Dk6lsbsu2Si1XI0usluCIRWaFNi6rJhknJRWnF7u+CHH14xXywRwtb4SdeFssRoqJSt89tkJWmasklzpOsyPZjhD1wcYbPY0q1xtKTfH9jMd5YSL2MCT/LRsxOenEzpeTW6rjg/2/DVN6/4m7/7PY50+eTjp0gJtzfXrOMNpTKcnh4zGo62MCQhaAglYDabMByM+MNX31NWFZ7nMxwMyPKMWik0gtD3GQxHZHnO9fUVWZYhXJfeYMDB4TGzw0PLFtjIclR1Sq00laqbLFJDn97MDIrdU6fMUpLNeivZ4Qc9BpMDvCBqAr7mb/vq2gz0LgBtteFqVdvZUKXQjoN0DEYZNBbm6bkO/dBn2AvxXQm6Is9L8qzYBuMvnz/l5NQSDolm2kVocCVUWlHVNcvVmouLS5TSBL0+jrBUzpEj8H0XCzmzxBhlURKvVlxdXHB19g5dV5w+esLp05eE/TGmlRrRTXlzY0javmS2EbZN3W1/6fSdNqx0jEboClWmFOs58fK6ybJrwqiPG/QfaPs/t8Xs26q2J//UbPuPH/2BwP3Hlm5IeP9428/vPfiO8OOuY/djy0MO2ges7FZCQRiDKyWuNGAsQ3IQ2eRVUVacX1zx6vVbVnGCFwQY16NqoPZaCCo0ZVmSFUuqmwXX8xXL1YbD4xNkb4wWVhfQDwSelxOGPq7rUJY5m00MRvP49JCXzx8T+i6qzFne3vDuzQ+8/uEHyspKE0VRwNX5W27mK4qi5uT0lOPjIwtR9DzqqrJCxqpiOOzzxeef8vs/fMObs1usXIO9fyklgbQMe72eDTTyoqRqIFmutEyi0gt48fEnHB4e8cObt1S3S9KG3VRshSw777Nxo1Rdkacp1ZbcxrIR9kYTouGYUmkrHWHuTYjYd98GjM0Pre0TtOQ3u7azuwIrtj3oRwS+i9YVZZ5RFBme6/Do8Smz2YzBcNhIaGi0ts5ZXRbkmZ0dOT+/AMdjNJnh+T6DKGQ8HlppEgxaWb3FukgpspgsXpLGC4o0sTIj0ZDJ8IDJ4WOC4RG12yOrFVWd4wSudWTbaxf7hCdi+2caJIXG1RWyTjHFkjJbUCVLyjSmKnIcB7yoh/OztHVdcr/tqjtb3F1nHtrswWPbZZec3B3L7NmlToqq8b3slW0DMd5nyx5CfDxg8Do390D+gzbq24sVu0GpEJ3r36+R3DtOU16EAD/w8TwJxoqoe76PHwZoBHmS8f133/Ptl98SZxXD0YThbIZ0XPKiYLNOWSxivPMrBIY8sbDHR49OEUIyXy45Oj0l6vfJykuOTh7hOrBZx6znV7im4sXTI549PaQ/CHF0RbpJOXvzlj98/Y5VnHN4fMjRyRFJHLNazPFdl8cvnuN5Lv3+EOm6rFdLNpuEyXjEcDylPxjwF3/5N7iOg3BkU79s34F0HBwpicKQqqqoqoqyLHGlpN/v0+v1ka7L4+cvOTo65K//5u8ospw0TUjTZBts2jfYzCYKgdBW6qlIbL2i0YpKO2gRMDs4RvihbQetD9dpAaaTIOq2AaUtzN7zfVxvd+1uoxmJsVJoWim8nksUBhilyJMNm/WKqqrpD0aMDw8ZTmZ4Ua9hmzdQK6qyII/XNlA8v2S5KTk+PmE4GtKPQoJA4rh2RtEoZcs0ypTNZkV6/ZblzQ1FkqCjEYfHjwiOX+D6ASU2uWhtuADR8pyKTi+7066bxcFYjcVmEsAYbd/RZsVmtSBbr6jKAke6BP0P27ofnVnc+3/7Ru6mY/Zf1h6m6ceOee+37rE7n7erPjDZ3HVg7vhVD3X0hw+xO+c/16ETzfXtgtzO50aDyyhbr+E6NnA0qrIZYhSq0mzSnKurS9ZxjHQlvV5kyR4aRkqBg49Aa8N6kzBfr1ksY8bjMVPp4oURwg2IlERuKlxjM8KusHIUWbqmH3kczoZEvkAVBfFqzXc/vOO7V2ecnBzzi19+xtHBmKrWLBYLwqjHweGE/mAIWJiXkZLI87aQKd/3qauC1WoNxuAHAYPBgKJhmHIch8Ggjysll5dXLBbLrTB1K+lRVgo/COkNRnjBkryws4RFWaCNxVyzfcZNPklYxixbr5iCViBdvF6faDTFSLcJoszujXYcfjsgGSvM28ywVIWVNkErWxwpBNIRBJ6kF/qEgUvku/iezfbUtTWQaZrh+x6nJ0ccziY40mkEf8XOMWtol5PNhqvrG84vrgHB5OCI2YG0FM2exJWOJcuoNFmScn11xcXZBevlgjDwefHyE04fP8PvDdAIS3bREI+3wIOmtPmBRM9+22zZszAKYSqEyqnTJdnqhnQ9pyhSpOcRhdb4u17wz+gV/1KWbiKhs65jivacCnaPVTTtcHeAu1s2W4vuujtL5/20aabd5/bQd9rt3qXuLnS/1Mg8ENjdWdd8/lEbaRrCgG3w0Th3XWNrrA21bb3eJsak07S1xoYVecbNzS1v35wTbzb4YUTUH+AFljzF9ewMeVDZ4GizSVgullxc3ZCkBcPpAQhrE6W09OBSCIa9kH7oMV/a+uXIc3h8PGM0CECXJPGa83dvWMwXDMcTPvnsMwaDEev1iniTE0ZDXr78hKfPXyIdwcXlBdKtmIxHgKalizcYAt/D9zxwxBYa5LoujnQJwwDHcUizjHW8IUkzlNI0pSJ4vs/BwRGnj58yHI4RnJFnKWVZNoRXXUqW9uVYjd4iS6grKzlUqxrhuEwPj3H9kE2pGur1xpESe0fZc5sNbKHCBtMUyO7aXcuO6ziCMPRtktCxRB6g6fUjptMx/UGPMAwbEgjdSCspVK3Isg2L2xvevn3LmzdnjCYzMOB7LmEYNc9JUNclVZlTZXY2MV7cWHRJVeH7IZODU0aHjwgHM2Q4oqwd0rwkq2rwHHy/08JF24M6rlTzjzAGiULqEqdKMNmCIrmlShbURYpWChn0CPt9/J5lxf65Lfc8sK6tuLfcszQPHHDfLt21ZQ+dfAesuH/sHYHhw0uXuGZ30u7h33O9++b8fZvcC0R/zCxaH8LCCd1GOqtukkN+GDb8BBXvXr3lqz98Ta0MLz7+iOOTx3hhSFFWJJuETbwhjjdsNjFpmlCmmeUTEA5xnJDnJS8/+Yy0qBmMFjx59gzfk6jKyiuMepInxxOG/RBHGLI45vztGZdnVxwcHvDL3/4JV/MljtBcnJ8ThT5PnzwmDAMb+Lku67WVthiNhoxGIxAOWZpSlwWe6+0S71uIqa1j9DzX+kBZRlVWOK5L3/MYjoYYBNJziRrfwaQZZVEQr9d2gkd0Uwv2oTvCEu5tFlfUeWLJ/7SDcXuMD47A9ZtxztDd9e573r0fg6oqwJYKSWl9Lc/3muDRs74oVkN4OOjR60WoqqAqSzzXZXh8zHR6SDAaIV3P8kMYY+V7ipxss2JxdcnN5RWr5YpCOfhhSK/Xww88pKXKR6MwuqLIc4rlFfP5DfnimrxW9CYHTJ59ymh2ROlE1JUC3davN/wADeqt9dx29717FtsEB5qG6cSOF0VGkmzIV3Nb3qVq/CiiPxzTm0w/2M5/pGaxm4fevcj7Qd3OudkP0vaDvn2HpH2ju99aY96uvlv7Y1/6jo5kewXivknb4Z678NW9m+MhM3A/Ujd7a3bxsrizT/e8NPdh3am2zs4YSyfvGG3JUIzaakeVeUae5yzWlkDkYDbDD3yka2fTRJMFkQ3TpTEgpOB2HiJlarHIjgTHUuK6ocFIidDSDsgo8nRNXSQcTyJGPQ90RV2VqLpmNOjzq198xsmjEx49OSVLc373+68ZT2YcnTzawqmKokRpTc/tNRACO3EvEGySlNv5LbJxlixTl600iMKAg4MZRVlyfXNLUZZ24HYcm73JUhwv4LA/YjI75ur6Fr1eo2tFWRQ2i240W09YsM1uGWWLoOsyAyw9sB/1CQdjNBb7320c7VhmMFsIg20udta3KguqIsfiBEB6LkHg0Yt8osAj8CS+awNIq6dog60otDU9w2F/a8icJrA1je6aqirSTcLtzZyL8yvm8xXSlSRJgtIKr2ljlbI1nlmScP7mLRfn5yRJxnQ65dPPvuD49DHa8VHaYOqqEaK2M4pGSIxwLQTVtDDE5jq2IBLTENto28q3gWJGmdxSLSzNszCKwXBE0BvgBRHS8zpaRD+fZQ+Kvmdc7icY7m1yd1vuWpcfcbYeviIesk8/5Yj/n+8J9yxpA9tvncD2f3uOXYJl32PTmKaWzjEK12mcKByUdqjyjPnNFRdnV6zXGxs0DEYI10M4Ei+M8H0PjKF2LVmEBrw4sTIVgSHq9XB9v9GJ1GAKHAzj4YDAddmsl2TJimHkMhtFONTUZcZqfktVlDx/8ZLTZ88ZDoZ8+823/P4Pf+DJ05d8/ovf8Oz5S6Jej+++/ZoffviBX/zRFwRh2Mws2rrh9Tomz3JcV2IcqxFrpTB8pOvhudZ5youSeJOQ5fmWbThoiDDCKGQ0njAajfBcSVnkbJIEg0A3zMc2uNm9O6NriixFKzvTqVVNEPY5OjxCYGU3uu+rfYX7kSeNCW1o2utWHNuOH1vYfrOt60qiKMDzJUIYpIQwCnA9jzAI8Xyv0UizWXmtalRZUZQ5q8UtZ2fvuLy8Yh1v6PXHlhDItTInYCiLjLLIyJIlRbxks7xhs16jjGA4OeTo0VPG0yO8aIQWPqUSJFlBWmgqYxl2EQLdjA2iLXzacgW0gaN1mhxTI+sMipgqW1JlMVVVIRwPGQ4IBxN6wzFe1Md1f1Rd7F/c8mDZjdn7r9NMHrIXDyStmlyYuWM+usvWUmzN6T6RzPb/7jH2nLf3SLDt+ZoPn/7uZd3f5v7+D9vvfd/Tzg2Ybbs3xsq8qKq0QZK0AcX52SX/9Puv8cMev/rlLzk4PkVryMsKZSAaDJB+gBeGLIUgy3KUsnazrDVpUTE7PmE4PeDiux+Ien2GgxG+K6izhDqLmfU8DiYRvuuQbBIu371jEyc8efqURy8/IRqOWf3N7/j+1Sv6gx6nX3zeoB8MZVmyWK3o9fqMJ2OiqAfGJqfO3r2zvAqOoCUsaKHutnzKJo+zPCfLcqpaIWtFXhRNXaNlhS+LkiAIkdJFK2Wh/sYiKe6aJzuXUrGeX2LqAgzUWhJEI/rjSUMA1wStzcu4P+7txy2qriyBTVlS1xq0DeillBYy67p4nsdwMGA0iOw7NAov8BiNB/SHI7wgxDjNzF5jf+uyJE9WLK+uuL68ZLVcs0kyKuEiXdfC8hEWBqusLEaVrFivFqTLS/IkQXgBR4+ec/j0Jd5wRq3AlHY21JZ1NDGWI5tgsUGJmbvpPxvLN6JH9s9U6KpAFQkmWZBuEnSZWzKm4Zj+ZGb5AH4kMfYTLGHrSLdTvm1R5X4g167b1Ut031XndjqJgNaJ3W1imql/07z8fVrYu1kj8/4P96+/tWZ7m3bX7ZvHfSHf7sxpc/8d/OwunOzsJLYUAdtBSxjRaNQZBAp0jdEVqi5YLxcsl2uM4zE7PCDq9a2wdAPjdF0Xz/dxmilzow2OIzk6tFBNzw9Q2jI5yZDGcagthXvDapenqSVQmQwtTTgaISSDYZ/pdGJlHKQkz3K++e4tf/N3X/Knf/ZneF6AQFDkBZskodfrE/i+zSQbQ13VFHnOzc0NySYhCDyiKKRW1mAgBFEvYjgaEccb4iQDbafGpba0vXmWYhyfl59OODo+4Xax4Pz8AlUV5Elqdcq0QbgSW1Gnt++lKkvi1dJmhaULriQaDPB7A9u5VL0VyX7o1W9lCiw+gDxLqfKs0Rt0CDwLSQh9D6+B3ba1rsY02bUgxHPdpgDcqmi30C+tLKRVKUuXPb+94frqmsVyRZ4XDPo96xDXtSXiEaCUldC4ODvn8vwCV0o+/eRznr/8iMnhERqXsrT1V6qu0co0d+JghEQ7rv2+TVTs6su6KPGGaxHHVDhqg0quKZcXqM0SKaA3GhMOxsiwhyM9XMfZFpX/LJe2X3dS23dwE3fWPzRA7ZaHntSeI//Qb93f79msu1/uHEE8sOkDx++KXO/X3TR2d+sRmc61il3ASMeH6wTKd5+FEBZVID3XEtIUJevFNZdn78jSgslkTG88pTIOcWLhf64rcV0Pq6EKENA3MJ1OSPKSJM0tWsJ1qWqrs6qUxnUlx8eHuJ5ks14jVM3B4YRBP8KommS9RinFo2cvePLiJVF/yPzmmv/6t7/jn/7pW0bTpwwmh4S9HudnZ/zVX/wFLz96ybNnz61uWF1iDGRZZgXnlysc4WCkg+tJgjCkMgYhJNoYkjRjk2akWU5VVbhS4kmNIxw86eJ5PkEYEfWHuK6PUprNOt7WlWyHFKMR0kpUVEVOkW4wDRszxuCFEdFggtKiEwjs3uG29W7bRgP40oqyyFBVaWuVHdGpbbGbO47A8yS+7yJlQ2TkWGIKr3GwHGGPp7VGaUVVlRR5ynK54N3bd9zezMnyEqMto7RF5VtnrS4y6ioji1esl7ekqxVlWRKEfWYnj5kePaY3mqKFR6kEVV1Q1VDXCq0AGeC4LlJ6tvWZHQSfzr8GS2rj6ApRpZhiTZ2v0UWC0hohPfwwJBxMCAdTvKiP43r3BL9/Dsv7gF9bMiw69uMe98L9Y+32/8CmD/le936/H7FuZxFFN6nb2a3Tvn8sgfbP/uUO9HTrN3RsbDsG1FVhUWNaUVcFdV2gjZWJWV0v+MPv/onhZMqvf/vH9MdjiqKmKHLKssIY8PwAP4gIowhPulRVSZ0XKKXIywrpBYwOjrhdx5ydX2K0b1EauiaNlzh1zuwoYhB5FFnKzeUlVV3z9OkTxrMjvKhHURZcXt3y9t0lJ49OQThWL7Es+e77Hzg8OmQ6m+F5NripleL2Zs6b169RSm3tf6sjCyBdD9fzqOqaLMvJm8kEp1asVjG+H+J7AccvP+XzLz5nMpkxv75EOpDEa/vMZMNTsoWjClxXUOYl6eoGVIXWAoVLODog6g+2aI7O0LPXBrpJBQcrh6PrCt+V9EaWbCcMrMyS38wqCiFAWyKY0PcQxjJAR9GAfn+A08jHYUBpy5iqy4J0EzO/uOD87TsWizWbtGC9ycELbc29rqhKqKrMakZuluSxrcFWQjE6PGL27BNGB8cQRKja6m1WZYlRBqQPrWxak9Br4w7TJCvotEWBhXJrXWNMia5TqnxNlceYNEFrhfQCol6f3mhKOBgiGymkDy0/EYbadh6aukDxQBfrBoT3NcXub9t9rbt/72dxulQMHS937/P9rMKHDEd34HzfXewCxoePtIuDu9Fve8Xd4zdZTSGabLvGlQLHgNE1pirIkg3xekVdVYwOJkwmU6TnWip2re3A7Ht4QbAVptda4WmP8WRIVpRWyFppqqomYlfb5zgC1wFpLJV96Hv0owiBaYqRDb2oRxj6GKNJ84plnPJPX37Ht9+/5fTxc9IsJ88Nt/MFQRByfHyK5/kWclQr0iRhPl9we31DGPiMRw5REJDnOVmeI6VkNp3gCMFisaAqq4bEgQZ+WuJkKcKN6A+GPP/oY75/9Qr+/h8oy5zVamGhT6bRixHgNAOeMG294oZaGxAST3r0BkPcoGdDyo5x2zUx0xA9NM6TMThNMJ8nG+qqxBEC33UIPA/flVakXgorbqoMuhngXCkJfA/PdZpEx7bkmlpbSJZWijzLuLmxgWK8XlMVJUJArxcQ+V4zwyzQOmW9XHJ5cUkcbxgMRjx/+RHPXrzE9UOUdqiVoioKy+BnrL6lrVWUGMdtCqCdbfs0sM3YGt3ULQnTOJwVut5Qpjfo1TkmX+N7kt5gQDQcIwMLbRaORAqxS5T87BZz53OHrEY8bGHE3d2atftMyaL700MfHwga7x7jgavsZrW2gUXHm7lz/Lsw1q653QtgO4d8MBbdc5bunFa08Y1qIPeW8EUIgSpz4sUtt5fn1FXJ4eEhg4NjjAy4vF2Q5RlR1LPoCcfBGGGDRwkmEIxGI8ZpYfu459MyX0oArRj2Io4PpgijydOYfuRxdDDG9xzyLCEvK8aHR0xmB0g/4vr6muvzCy7Pr0izilWcYozh4uKM//yf/xNFnvHpZ5/hSkme51RFznq14OrigvntAoxlPVUNjF4Iq62otWUtTLKMJMsoy2qLsGhbkTYax5G4fkAY9azDpQWr9cqmGBsiINFmh5v2UJc5eRKDKhENdX3UH+L1hpTKoLe0um3A12m3HXI2ow2qLCnSDaoqkE1tttPoK1pYrYMUBs9zbZKMJrEghA0cHbDC47YB6NoGs5t4zWI+5+rqkuVihUAQ+A2BhGxspFYUeUpSleTrBZv1gjIv8PyQ02dPOX70jMH0AOn5lJUi3VgYnpQ+CHcL+3VcD+k14tLbxK3Z3qvo9BhH14gqhzzG5GsorcyS9OxscNgbEAwneEEf4Xo2GfpBT+Jf7mIe+vbArd4n8/rw8cSPrLEmZ3dM88D/29+6dsg8dMR9f+0nLR86yAdusmtqu4uw3jp1af0FoRWqrKnLAlWWLG5u+d3vvuTk0RN+8cd/iud7JGlGnqakaUatBUEYIr0AI0AqS7JSVgVFkrBcrqhqjZAuSVpwe7si3WQMpgN6UYAuMvJ4SU9qZqMeoi5YLm8oi5xHz54R9YZkecX1ha0XXixj1nHK1fWcJM2ZKc0P379ifrvgl3/0R0gpLW9EVbFerXjz5i1Zlu0Fia1shhCW+dQRgrwoyIqSsm5ZUg1kOZc3twwHIz7+/Jd8+sUvOT495esv/xFHCNI0tQFRYB+w04n8XQcW6wVltgFdowwYx6c3OsD1A4ugMrtkwV4CAZrAqnl3xs4qVmXeyINh5UYaKL9Ryvp2TeLLcW15kSMsIi7q9XBc2fhKlrBRNaVHxWbN9eUFb394xWK+ICusD73e5HiRIcsy0ngFWqGyNUUaU6YralUS9UJ6j55zevoI2Z9ijPUX66qkzFOqCpsEkx7bGQrHtf4du3HXNDfZJi+sfW0YVlVKXa4RRYyuLKw5CEP8Xp9oOMIP+g1Dv7Dych9YfnqwuH32+07MXj8Tu9hKiH3AwF4f2/ty30HbW8Td33/issM67L7vhaXdYz3gtj3gBd4V2rgfwpp2nN6tbz47AkwDP/V9F08JdFGRJxvSJMH3fMbTAwaTQ2QQ2WCgVpS1thlcL7ANx5E2GNkWGVv4kyMc/CDCCyIc10frHBCMhj1GPR9PKqRQ+K6dldtsNkhVMOyFtjNIQZpmlpVvlXF7u2STZLx684bXr9+R5wlFWfHHv/ljoqiHMJqiKq2MR7KhzHMcDMNBD2UyDLajVGVF2NQvrtZr4nizday0FihhKKsKkRe4QUlRFpRVgdNoNOqmHrGuK1v35Ni6H9GySWlNul5QpSscYWdxhesR9PoIaWGwLQS0zVztT9y3WS22Rj9PY0xd4DkG37OENm5zPWCNptIaLW09gZQS6crtjKIxhrrB9qtm20284fbmltuba4osx3MdwtADAcN+H+k4VEVBUeSsVmvmt7eUZcXh4SFPn79kdnSMF4TUytYMlUVBWdhZRevBObCVy/BAuJgmabCDauysa8usiKkxdUKdLdCbW0SdE4QBUdQjGgwbCREfpDWkgiYW/tkt1upunaO79mPPW/iwAyXutLDWeD68/fs8lQdsZzc/dtcUmrtf7ibeHl7zUEB638q2lt90AsXGLW/KAlqdLMvEK7AAbzvT73oO6JxsvWBxdUGRZUwPDpmePMGLhqw2KVmWU+QFYdTDaWfmETZodByr/dkkbDzPakW1sE6wmeODQ6sVu1zM0WVGP3TpRy51mZFnMUHgMZlMQcDbV6/4+quvGA3HSD8krxRFUXBxccY3X33J2zdv+Xf/qz9nMpmSZSnpJma9uGW5XJDlBZ4fEIYRbqqplaEsSsqqbmyDsc5TXlCUVkcRQ0P6YhNsVVFS5BlVWaC0svXJSpOsVhhd4zq2ZtkIq7nZOgNFnlKmcQNDtRXRo+kUL+yjtNlS+DeGaC9x0DoX9r1pyqIgTzdoVSIdsc2uC+HYsgenDdatbWutZ1eL0Rj77FVdUeY58XrFzc0N8/mcTRzj+x7T2RDpJ1zPV1YH0liof1EUbOIV6WphIcSTAyZHjxgfPmIwmuL5PnVdkmdr0niFNgJ/EIHjUWkDUuK4vmX9dvYlgloyn8by42BLQKhyRBlDlViYtLRjq+uHltDGi0DaQFE4AqN+lsbuJy0/3dt6ny/10/fuBozddZ24/559+v8lwKUNOO4lyJrz3/MctsgTgTEKoxVRFCLdElXn1GXB4uaWNz+85uTJU37z29+ihSRNEtJ4zWK5pq4Vg8khUX+IcRw7lhuDF/gMR2MGwyGrdYzjuuBINmlG1fA8nB4fMhpE3C7mFMmKvifwHUjiBWmS2UTccIzSsI4T/vDta548ewECiqJgvd7YmT9X8oc/fMUvvrBQe20MVWVZ2tfLJcJx8H1/Rw64HTFsMsltNKzTLKMsSrtZ82KUseRkaZ5S5CV5smlm8RwcNFVRYIyympR6x/QJ4AhNvF5Q5bauTmsH4YX0xgc4rvfAy2/xP3dfnh23VFVS57llHtUljuOgagclJUrWONJBOhLftdrjrgwIw8AixVzZlGnqhoSroioKks2a+cUFZ2/ecHO7BGPo9XsoCswmJ4wiBJpss6KuSup0RVVmSGEYHp1w8ugR/uET+wyx5DNtSVpd5hjRb2ybt5vldqSdCKCDIjGtS2B2M41aQZVjqhRTZxhd24Sg38eP+ni9Pq7nW0itALTeQ989tPwkGOp2/LFtZNdY7rpEhu0La+Pc7U5dg9I4q7ueaR485v3faB/JvavcnaGZi3yo8LV7P/fO0KWU6NzTnX1367reXwPraQbPPZ/OsCW/EGgcKfBx8YCsSIlXc7SqOTw6Yjg5ANenqAxplrBaxRRViedbnLfTSCFobR2SulYURUld1wR9S+XbH09B+tQGev0en7x8zmwyoEhW6DK1QsRC40mXQW/AcNDD9z2WyxVff/Oa1Toh6o0I/IDA91nHMd9++wOuFHz2+Wc8ffqUMLBkNtIR+L7PaDzB83yWq5i6rsjyHFFrCz0SEEURWhtub+cURbmtuTRNxZxumMSkA5fvXiGM4vrizGZygLKqmkyWQQhLA4xuptpVSRLfUhcJ0jFoR+B4vpWScL0tI55lguq+1V1H6+IyVVlSZinoGtcFXzp40kFK+751w/KI0YRC4nmycVzF9jBKa5S2wXxVqUYG5ZosTXEdh9lsSlXk1LUiSTKi0MfomizdkGU5q3WMEPD4yWMeP3nC9OAQx/UbjLymzG3RdV3VlshCWsFbmlpFhAuNQdkOtm3Z5jb5ojFohC4QeYzIVrg6Jwh9er0IP+rj+sF2oGqbu3UO1b3+9y9+uWNSdnFi126JnZGDXZJhuzyg2rqLFf95l9Putz2d6OS/zJ7teaAgm3s31G57z5o+sNVD+bL3ZMl2BDc2MBHQJHOsjp3vu3iOoUhjltfnpJs1o+mMo2cvCPtj8rImTTM2mw21agivHKvztz1ng4lUSlGrCteVVqdVSpTS2/r0g9mEQS/i6iyhzGLCwAFTUVU1Qtg6R61rri9v+P0fvuaHV6/57Z/8KaPxDGXeID2fH1694Q9ffsUXX3zBJ59/Qa1qNvGa5fyWssgIwx6uG3BzHVMpK1ZfVYpSaWxcISzhVVE0ovW7pF770LTWFHnGu9evCKMey5trtKoBl6IsUKomlI61Ne2YasBoTbqJqcoMTN3AiTzGsyOQXhOU7hJfth3tzrytojcCU2uqPKUqUhxhkI6LdJ2m7r3RWhQWhtomyrZwZbGzAwLrPOVpQrxaM5/PWSyXVFXFaDRmMhsT9QaU+oLA9wjDwGroFiVpkpBnGUHU5+j4lMOjU8LhFBn0EVKS5QVlviHdrFFVhuv3rWPl+LZ2Sjg26+64TRts7rV53rrjOzgAqoa6wNQFppm5lZ7EDXpIP0D6IcJxmyDYyngY/TO0dQ8tH4gMf4rtev8270uG3fGvHtjs7qq7/thds/fB4NHcucWfHgnv7H3XHneY95WqkdKhF0YINpSVJdK6vb3l+NEjnn/+K6TnUSQpm9WK24srFpuU2cEh/eEI1w+a2ap6yx3TzpS7nsvByWOiwYjNOsEPQsIo5PmLp3ieRxavKdMNYV1QFRnG9RlNp0T9AWVVo7UgywrOzq94/tHn+GHU9F3NfL7g+uoS13N58dFLhNPaHIMf+MwO7Mx+XVv29nZmUUBTr2jZ24uiIM0KaqVtkklsTTauY3vi/+N/+r/w6st/5NV3vyfwHLRqSVuELS/ae9gCTE28nqPqEm0MCokbDIgGs6au+oEXuzdgdT4aY7k5qgIHjSMlnuvhei6udBtWVIF0rK8X+D5haP1fR0r7TLD2rq5KiiInXVt5jIuzd2zWa4aTMaenpwxGE16/PSfXcPLomDD0bGIsz9Blget5HBwdMHn0lP54jPECa6+0RtUldZZQ5oVl1/UDC0EVDsZoy0HhuGght3atK6nU3qvQFuIvVI6jK6TQlsDH9fHCAC+IENJtyOraSRfL5vqh5YPB4t40b/vsu8UUd1I9pnlhBnMHvbkjrdk/QScU7KaRutnrTky5nWLtNgSx+3q3jnJ/u4eDQLO3afsKtjfbesi7jYTYO7UlFWGXaerMSIjONWFsRtaVAg+BKGqKZEWVpwyHA1szGIYoLUiWK968fsPl9S1+GBCEUfP8dkfUBsrG0aqVYTaaMj18hAwi4jSjqhTj8ZTHjx/j+z7psqTcrBn4kulowGTg40mNMYKry1v+4R+/5Muvv6fXG/KLXx7y6NEJlzc3SAFXV1d88vELPv/sM0ajoZ2614rA9wEHwgijDckmYx2nlKVl2FNK40qXfq8Pws5caq1thkPYAMx1HDxPMuj16Ec+y+tz1osbFss1riOQrof0AkSjMyMxOE323hioKispoWqr2YMj8aIeQW+AcRoioO0o0p3z6TijpklsaE1V5FRFhisMnuvierKBTgHGwi/qqsYRlg2xFwWEDdPVljLegFKaNM24ub7h9mZus4EnJ/R6Ia6AzWZFvEmoqgrHwWb584yiLPF9j4PDQ06fPGE8HiNdD6U1ZVHaDF2eN1k8g5CWcEYIByMsKbwRYjtyts14m7jotF1jFNQljspxhSEMQ3qht4XFCLmDsgqjm1mRmryo+PkuP+JxPGg5Ht7i3gD4E8/ywdO3e783GfbTD/XP2nUvQGxSbtt2ZfuiJQ621+ag8Ryb7dZlSra8Jc8S+sMhR4+e0h9NKSvFarlkfnPDZhMjvdDOPGHbb3cArCtbE1OVFX7QI+pFNuPb1MhIKRvbpCmyBMfU9MMeUegx6HnUpUHVJfObK3549Ybr61uq2qA1hFFEvxdRFiVfffUtwvH4zR//CYPhiDxLARiORggxQtWa87MLLi6uiJPMBou1ahwlF9fzEGVF1dQoW7tvadp7YcB4PGA06KO15vb6Cke6LBa3CCGsE+OHGERDWOUAakfWpmqSeIWqiq0tiqI+/fEUhYMyNim2TQmY1uJ1ZF+EwAiNrkqKbGNlmxwLK5WOYwNGYY8ihIWGtb+1NY02GaupS0uQlm42rFcL1uuYLM3wpMvhwSGHR8cEUUitNIaLhpzIpyhLVJVR13aMOjw+5uDwEVF/iPQDDIYiz8mSNXm2Ic8StKobP8AFx8eIGhyJaNA2rcxB2zppfJCt/TM1RpX2T2sLqZcOru8j/dDW7Ei3SUrUTaZdNUH8z3DZ82maVZ2v+37RvU3fs9zd8ydcxp1jbs2a2F8n7lzj7lo6ft2HKFT/OdfTuajWr7wbnBjTsk5rtKqIfJfAd6BsZs2zlMPjEzub5/uW0Xm54Or8nOvLayokRycBnh+CIyxKoJm5MkpRlSVpnjOeTHn+yWfIIEKT4fk+vUGfg4MZGEWeblBlhutoer2Q0XSEKyVVVbNcrlmsYi5vVpS1Rro+rnTwfQ/H9a2tQ/E//K//HdPDmYWYYllRw0ag/uL6lvlyRa1UM2PV+uQC1/Px/ZDFak1eVDjSwW1sneM4eL7HYNDD90Ouz99w+fY1dV0R+B5FKegPxziuh9q+TNOw3jvoKiNZz5vnAsq4+L0RQX/SaRytdbv/DruLQFMVKUZXlidDSkuwJeVW1qx1kGTD/Bx0yCW1sqzTbdCXrlfMr2+4vbqiriqePn/GyfMXTCZTVK25ul0wGg0ZT8YgTJM0VPhRj8PjI2YnR3j9htANGlRJhSoy6jyhrjRCuAjp22SYsZMqCAnSIsZse9+fkms7j2MsH4qLsug4x8WXEtd3kb6/hZ2aBkJtlKIuCtJk88G+8eMw1H9e33+vO3W/G98Ha33omO0x9prGnYz9+yslH8pN2c/7Bqf7ra2W7ATH2+27w1IbTXfuRXTnVtuMrKalsUWX1EWCqUsGvZDhoG9Z9Yxhs0n4/vsf+Pa7H0iLktFkzDTLm9k3x3ZUYY1LUZbkZYXjBfTHU8L+gFoLyqqmNoLJaMhg0MdxXNI0R1U5j56dcDQd4UlDvFxw9u6Ms3cXvDm7RFXG6oB5Hp9+9AylSm5vl3iu5OXz55yeHluZC8dBOAKtNHVZsF6u+Pqb7/n6m+/J8so2akA4DkEQMJlOcF3X1u41mStXSqIgJAp9hoM+s9kMP4xI0ow0TahLSwgRBBHT6QHSdRGObJhlG3CR0RTJhixebZmthCNt7UnUt8GRVjtZA/bZ17ato6nD03VNmafoqmjEZJs6xVYLyJgtDME6oRFRFOBK6zwZI5qgOGV+u2B+e0tVFkxnE06OjxkMRyhdUxUFaW6JifTW0VYYoNeLmMwOODw6ZjiZ4HkeShu0siRCySaxsN+ybJgj+0jXx0hBIyDQ/DWENtvcitkmX7YJDWNp5D3HEAYeoScJAq951g3jl32IaK0o84wkSdmk2Xv62b/kpY18OtbgoVT1nb7eNqZ2xq9NHt0PGHdLm/z66bb1rlvUHSAA0WGR3m59fwjdu/TWbN2F22733V/XPV87QLV5NE3DwNYcy9QlqBIpbHYzL1aUeUrYGxD1R/hRjyxNmN/OOb+45urqlizLGQZ9pOs1M9mWZbkNnMqqapJNhsFgQK9nNaHqqkLVNYHv0Y96tp5G1Qx6PqdHEw5nE3xfsLzNuL6+4vrqiiRNLNO0tGycj04OeHx6gCNs8PqLX3zB06dP7TVIl2gwQlUFi/ktZ2/P+O7bV9zeLprEkJ1drJUtMYj8gKKBo2ptURCe6xIGPocHU548OsH3PfLcakJWVWFnCB2BNuCFIQjXikY77vbBCwR1UZDFa9BWuqNShslgQjCYoEwjzSTEntPcZXtuc5pGa8oitULMurbSJg3UtK0vFU7zsoWVO3Fdaw+FY21dVVq4VBLHLOY3JJsYgWA4HDKeHjBtZk2U1iwWK5aLNTS19xbuJJnOxhweHTOZHhJEQysZojW6zinzhCrfUGUb6tKWVFiUjoMWHkrQaODKZtbTYGW17ozHxibFWqigrVH0cEUf37MzN0J6Vi8Y0bDdKnRtGS3z4sPZ9n+Ry4/UJr1np+b/DxmuHzvu+3+/FzR2zvTQmH33aHf3vbtut/4hW9dJ6rNrPt0A1dq6boDdGkKFqgpc186g6bqmrmt6vR7j40cIz6PMLQvz2x9ec3F+idIGN+yTZhnKaBxjCQiVsoLxqihYr5ZkecEvf/lHjGYHLOOEslIEYUi/3yMIAzsmZwmuYzg+nnF4dEivF1CmGTe3c7755jW38zV4NmBzGrbm0WiI40i+/f57/rv/9r/h08+/QHpekxgxYAS10sznc/7wh6+Y3y7RuqlV1JpaW5Gu4WCE47gkibXLliRLWn4N16XX63F0cEgURWyShCROyFHoWuC4DiePn+B4/jbgMwDa4LhQpjF5vLBUhkagHY/RaIbfGzQlD21g3w627/H+jWWQLtPY2roWbt8yV7Uzc0IAlsir12uSlk0ZVF2XFEVBmSaslgtWNzesVmv8IODpp5/w6NET/J4dezbxLYvVChyBlA61qlFK4QU+xyeHzI6P8aIIx/PYzhjqGlVmlFlMkazIS0kQ9G3NunBtMGlAOtYHfqgXGSyRDwakUdCwkHuuxHN8XNfWYu6IcWzgr1WNynOS9Yo4Xj30BLfLj0hnsJ0wM3s9sGOI93YQO+fpgZvZOqrv7c7dfUV3VXOMDszrgUzT+xfROff2QrYH2dcqaQ1Hy3raOcadCmfR9QppZxhbZ3B3ZXa1xqgCXayp0jmiSIgCF8fvI6WkLGtWm5hvf3jDm9fnAMxmVhBVCIeyUki/rfUzlkAhScmLkv5oiB9GaGP1fcrSwhk8z8NzQApQVc102OPJ0ZTId9msV3z/zXe8e3OG7/t88uI5RW1r/lwBo/GAX3z+McvVhjDq8dlnn+K5tgaw1oqqqNisY87evOUf/u53/PD2nHVqA0WlLHFKrdQW8+57lgLfZp0sc+Bo0Gc8GjKZjBgMBqR5SZ5lFLWt8zMC+sMRj5+9wPV9y1rXCJUZDdSKPF5S5RtbkyJAuD5hf4wX2NlO6yh0BwLTvg1LkuPssjRalVR5gq4tAY/bQOJs8slYQp+qRgjBcDBgOOzhuRKllN1OOlzf3PL27Rmr5YrQ93ny9ClHx0eEYYgBdKERUpIXFZvG+bVMt4HNxI2GzA4O6A+HlpWs8chbJsQ0SaxAbJHjuB594eCF/Sax4aAdy4Sq2+xTp682jdZCHBolRikMvuvgOwGeZ3A8ue0nWis7o6gURZqwXCxYLpekP8eZRdMG1GxtxT2iLrHdkF1Hp426ugeizWRtLYbZ2Y6unbgHpdoZkN2hH0q3032ld4H5703D7/a9c+IugmSbVNluY2hn3/cAQ80+WoMW1h4arajLjLpIcKscVW0QVWYdlWBC4AUk6xVXl9e8O7tgvkootcBxA4IgxG1Yllv7a7BSFXlRkeUl0vUYjccEYUBRVjYgExAFAb5rA0ytKkaDkOm4T+i7KFUQx3OWt9egaw5mY0bKaWbxJafPHiEczeHsmKys+OijT/E9l6LIUUpR5iUX5+f87u/+nrdvz6grA8JqdFVxRp4XlHWNkBVBEKLq2s5eCQvjDHyXyajPwWxCfzBAG4OvNZ4nqcrcsiBrRY1k0pC6gGMJB5rjSDRlGlPkKUYIaq2pkETTE5xoTNFqyQr7MkXDhLzXZIWdFdSqoshiqiJBNAQ20nW3Wfdu47Ezi3IHDxZQ15o8z1jO59ze3JAmG4LA5/DgkNmBrcHyo55NjxpYLJZc38wRwkE6tpyi3+9zeHTMaDLDC3oYBKquqRs4XZFtqMqMusqpyxyNwI1Ukwhz0Wi0aeGyLYO62eujbYtt63gsIYeH74YE0sd1LfxMNJBb08p+VCVZsmETr0mzn1+weCcseh+H34/u/c87aTfQeviYe97VznBu/bD9Ap99c3gvEOz6ph2Xs3uOdp+Hwt+9HNq2jGh7NdvxQtc58fKGUZjaNlxZRuf+dIrr++RFzurqlq+/+pqLs0sGgyEHsxlpochzW+fneV6jS1pR5gX5Jma9WhFEEQfHJ5bgKS+RXsBgOCLeJAghqMqcutgwmwx4+uyUXr9PWWa8ef2Ot2/foTV88umnaMfn3eU1QeBzcDDl+PiIWitevHjKn//b/47heGDrjlVNGq9JViuur2/56qtv+cPX37NpEBRK1ZRVTV5WaAOD4YjVOm5g/jZRLqUkCAKiIGA0HjOejOlFEY4jyRtkWa0FQW/M05cfo4TVZrUi2qLxyg3J6pYqi/EbvwY3ojea4gbhg83r7lu1H60FKNINxWaJIwyedGxQKxsExTaeMTjSIepFVjPWQsVQqqbKM9LNhvj2upkAKDk8Oeb06XPGh4dIx0WpiqqsuLm+5eb6Fq833DLmu57k6PiYw9MjvDCCFgmGaQLFgmKzYrNckK9XpDpCOgGyjVHa4Ve6GKeZZdxr5GZ7vwIrDeQIS6TpNpJ7Qu6ejPWLbTlVleUkywXxYkFele95tnb5MAy10+O2gZrpZFrE/vedayq2Tu4OHtK5wQ+dc5vR2Z5ld8zO3g9mEfZ+3QV8bWNoD7k7zsPXsjtKC5/tmqn9u92rsmycTCHaQNTKO2ijoMxIby9g9ZqBiRm4NX4YoOuKNM+5ub3ihzcXLOKU/nDI86MjBuORxa43D6YqSwSCqqqJ1zGr1ZqiKBk3khq1hqKqqSqFMTYo0xq00gz7Ee7JMZHvUmzWXL17x+L6hlG/x+HREVGvT6k0SZaDMWRpTuD6fPrJxxwcHjKdjKmrCmM0eZayWsxZXN/w6rvv+e677ymVwHE8lLJOnZ1tMFtNPr+hHTY0DpQniUKfKLQsonmeM58vWK3WaCQ1DtpIjk+f8vSjT5rpeMA09STGoMrCCjcXZeN8C0uJ3B/ieCEVolEV3L1R0SQr2nzitjVoRZWlFMkGoypcRzSBYvOuje1g0oFBv8fRwYQwsKqIQjjUSnN9c813335PWZQcHk55+vQpk+msccA0dVWBsf/P5xa2FUUhYRgyGPbpDwaMRiMGwyGu7wMNXX5VUWZWTDXZxGRpQlUWSNfHD4coLZDIBsveavA4nfbfZQmkuX9Lf+M5EEiHQLqW1t9pnlijk6d1TRrH3FxdMb+9Jckyi6P/mS13i8VbxtddPqgbTXW23SU2aTfbbfNQbrvjhTwwc7mNQ++MfW3QKJr9zN19Hjj9nlNoHt7+7qXtztcNFDvHNnvFAM1sDxhjAwOUIotX5DdnRGaDJ3MC6SCDCMdo8jTj6uKK77//gVWc4Q+GTCczvMGYwWSG63qtGW0yn4osy5nPlyxXMcPJhCCKcByHuqrBgCtdvMC3UHBtBeOH/QApFNlmTp7FZJsV49EA13WpDeB4lGVGL5D4LhwfTvn4048Joz5h1KcoUtarFWmakqYpF+cXvH13xmIZI2WA40iyoibNC/KqttIYniAIA6q6QhljM9hgZz37fYLARzf9ebNJuLy6Ic2sDmNRaY5fvOSzX/8Jbhg1c6ptW7T9MU9idFlYiGRdI12f4ewYx48abS3dSad21QWbwA+BIwxFIyBdVzm+Y22mlC1hTdsYLKOhlA6Bb2uzhQClLbIiS1MWiwVZnjMajzk9PWEymRIEkWV2xDIklnnBxdk5q3VMfzBECIco6nFwdGSRE4FNotXKzhCXRUZdpBRZQpasKdKENE3QwsMfCIQMQDTICcM2WIQdCqKLCdrdD1Z2Svq4AjypcKWdkdSNtJJRJWWWEa+WLOe3xJtNKyv3M1vMvW/ige8P2pUHPbC7ftfDy376//2+19a7Mrt9jABx97rNj53xzuXtfe16efc3bI/dzm3s29vdqJrHC67PvifqJxzORnh1bnVHPY8iy7i+vubr333FxcUFh8envHj5HHAQcYYf9jBC2HpFZclgkiRmvVhQ5AWjyRThOGRNcBb1BwS9CD8KEWiKtMATmoPHJ0ymY8qi4IfvX3H2+g3Hx8c8evoMLwi5WWwQnov0BAcHU6TzMUEU8sUvPuP5iyfouiJer5hfnHNzdUW2ibmdr3n16i3xJqUoKwqlqYqStKgoygrXCwjCPmoZb8lpWhIWV0r8wMf3LTFLnmfEccwmTSjLisr4nJ484fDkEbVhS5RlfXMNWpOu55gyQ7cQTDeiNxzjeMGudrr18c2dobT18wXoImd9c4HK1oSugyfZmwQwTW2OADzPpdeLcD3Lgqxqq2mbxWtWiznrxZwgDHn2yeccPnqE25RfqcoS3qyWS16/esN8vuIkGlmZICk5PJhwfHKCG7QQUIsQ1FqjipzNasHm5pJ4taTOC0rfZdhIZFiiaUtkZllRZRN3tRHkLk5pmfilUEgsZ4BlrXa2/ck0NfRG1ZaQbLFkPZ9TZJklDfnA8iM1i4atlslemNQMRZ1OtP+bee9v3ffJA+vfF1iKbYt4f7h495d9COmdizH7++yf33Q2vW9Yu9ua1nkS3cG5PYqFAjoYijRhfvGGKLtgOHRwPBcBlGXF7c2cd28vyLOCg+mE2fEJ/dHYMlE6ssE015Zm2EBeFMTxhiRJMTh2gHZtx6xqTa1baKMd9CWafujj9QKy9ZIsick3ax4dHzAcTeysnRG4wsH1Q7KiIN6kHBwd8ejRYwaDgZ2xLArqqrSDeJaAqvCkJbkRONSlleMoitIKJBuIRgHPnj5lNpvxF3/5V8TrGBkETYcV1FXBclmRZAWLZUxW1jjSwzgebm/Cy8++4OD0cZMkMluHWRiNKguyeImuCsCyczmuT9gf4bj+3ou+DyncjUTGaHRZUqYbqjxFYCz7YidYxFiB3LDXZzoZWFKaRiKjrmsur665vLql3+/z8sULTk4O8Xwfm/C37LVaK4zRLJcr3ry7YLlOiKJeAy2xwWLY6yFdF93oStYN/G45X7BcrsiygrpWIKSdjQxCS37TkB8Z08DQ2qzs1lnq9lwbSkrHyg64TWG3dGxtIsYyB+q6ItmsrVTAzS1lXeP7IV7Q4+e42HHDNM6B2HcUOgmj/Z32P7Q1sntBXzeofG/U1jGYDzgoe7vctV1tU27j2e5M+vvN5f3jdyPA7gqzC1y6f83YhEE0M4sGoyqyeMHm9gIZKJyhZxNeNeRZRrJccHt9Bcbw7OULJsePkNEA5fgY6W9hnY6wM015nrNaLLm+vma5jBlPZ4RBYOHwWjUEMhC5LtLzMBgG/Qi3jijTNaurJWWZ04t8pgfH5HnFar1menCAH/iUecFqtcAYSS/q0xsMMUYQr9esViuEgH5/wJMnT1ktNtzeblisLZ39JslJ8oKy0mgjOD445F/9m/85WZZzfft/JtnEti7Oda2tq2vSNCVJEq5vbrldrBodWpfh4Sn/6s//HU8+/oxaN+QPxpIVSEdAXZNtYlRdIrByPMEgYjSe4TgSp2qA51t2op1oRutcCWFQVU22WVv5jbrC8cQOkrVth8a2d0fgey6+5yKFaMaggmQTs1mv8TyX58+fcXR0xGDQt9nyRn6oriqKNGO5WPLm7RnxJttC5ifTKcPRCOn6aKVRuqauK+ralmeUaUy2XhGvV2RZijYO0WiCHw7RwkW3FqyFyjbX3Nrjbj6mbfr2/gXQ6pRZ8hqta+qqRNcFRZawmt+yXCwoswwjJGE0eKAX/v/Hcj9A7C5mu82Hw667x9rf9+Fl/zh7cwfv3fJD19rxCN9j9Fr7uWeeO9+tO2PbWnspWinSeI4uEiqxogrB8zVSOmRZxvXFDd988y3ppuCzL37B42dPqauazSahPxoxGE5tIrlNAhqoyop4vSFLc6KxsJwEno9wSmqlSTYJUkjq0kr5TCZDDsZ96rLg3atX3F5d8dFHLzg6PqKuNZfn51R4PH32lKKs2CQbPv3sEx49fUwQ+E1wuCGJY3SRMYgiXCE5v5izWqdkRUlR1mSVnfVMy4qyVvQ9n6cvX3L67Bnv3r1j09S7bTX/tGXDL4qSqixYrWLyIkcbg46GPPv814SDEaqtcW8DIGFs8Lq4QegKmlps4Q8IByNLvoWiHey64L4uvkY0AdHm9oLFxRt8leL6DSmP20DXaW2GDax6UUgQ+Nt3W+YZyXrFen5NkWeMTx7z6MlT+uOZJQNSClWW5EVGEa+4Oj/nzZsLkjSzsFEpGY1HzA4P8HwfI2STiNdobf3pZHHFzdUl+fqWula4jocfRLhhv4GcWiShEda3VS0EyGxH4W2c0v2TwiBhN9nRPB9Lkqio0oR4uWS9mJPnBa7rMphMHug7u+WDwWKTr9tb0zUg4t7WnS3E/V/2s+7NJ7Hro6L5vr9fxxh1DIZpNzDdbbt51C4RjeisvT+QtMd7KJvWrT/cfxr7NZftvbQH06I5rwC0pshTUAW90MN1DKpWVHVJHCdkWcZw2Of40QnhYIQWLkVVUGuNG0S4rttAZawMhH0OwpK5eFYzhYbMRTWSG9pYjUVhFI7ROLqgzBv2VV0zGAwYDge4fkhZa0oFnhfga0NWzlHacHR4xGw6xWDhre3TCsMQ13Eoi5pVWnGzzkkrTVFr4qykrHUDP/V4+vgxv/7VFwxHE05OT7m6uKRlbzLaWMKWomCV5CRZSa1BuiADn9OTR3z8xS/w/ICq6Ru6gWUZra3TEy9xdAHCoISD9CNbBN3Mfhmj9zOa2+ZpLY1BU+c5+XpBupxTlxlSYBkAmySQIwSu6xD4HsNBSC8KEcIG5mlZslgs2Ww2HB8dcDCbEfV6uFKglLLBGw3bVFWRJRlv3p7x9uySJMk4PhL4QYgfRDiuhzaQl6Xt0GXJZpOyWq7YxGvKssaRLr3+oNFnGxL0JwjX39UqCqdhubIG+x50WtjkRSs74LCbbW0Np1Y1qshJ4hU3N9csF0sQDuPJAf3hCC+I+Lkt3ZnF7Qez69MPaWw1v+wHaG3dHnbWwjR99aFdd4HpHVvXCfC3+3WNZOP0tEOF2Nvv7sF25+mc+P429y7wDkHInkvY+dw45s2kjr0WVVt4pStwZGAh6UVOFi9ZL+c40uHjLz7n5NlHVmNxvqJSCsdpo2uLStANq7AjGyh76DMcDvGDwOqzllbrSroeUrr2TrXBD0J0EFAlMWWeAoZer08U9sjSJVoLZoenDCeH/PDdN1RFxcHxMcPxDOnaYw+GriVgcCTCwHKxRAuHdZKyXG+olKCsFbW2dTqudHj+8gW/+e2fIKTkH/7x9/zd3/xXS9He1Jd7WQYGlssVy+WaNEmolcLxJc8/+SWf/vI3COlRV5bmXDTJHAdDniUk6xUoZe08ktFgRjicoJEgdFM/KsC0rLSmea/NM9WGKk1I1nOqfIOL3tX/dAdFY+uPPNch8F2kI6hrKxKdZQlJssHzXQ4OD5lMp4RRD+kIVFVRq7qRH8pINiln7865vLwmywq01rbsYDTBkTYhprUVNC+LjDLbUCRr0vWCeL2mqGrcsM9kesxg9ohgcEBtHDszLBqynQbO1er57PWD5l7ae9OIhgRMWC05laHrClUV5EnMerkgXi+pKkXYHzCaHNKbzO52jJ/H0rEVYvfxPRvdX8R7Pn9o3U/7zdz53rmanXn44HLXh+Ou/XvfPnf9wtY2i/3+0ZpPVVeoMiP0HQLfoVH8ocgLri8vOT+7pN8b8Onnv2I2nZIXBYv5Eq0hGg3xIwtJNNoydPqBTxiFVnO1qlHK2rLase11uV4jrbgpeZbiYJjNppgq483rV6zmNzx7+oSjo6kNOuOEdRxz8Pgls8Mj/uKv/4Ykjvnj3/wa15XkWUaWbFB1zWA4wJ+Oqeua+N0551fXrOOYqrZEXVVZkZclVW0DtWcvX/Cn//pfc3xyyt/+7d/yj7/7e7yGgd1xrPROnuUkaU5R5FRVbaHjwuHo5Ckvf/lbpBdYUi5jbZMjQGKoi4zNaolENcUyAi8aEfYGD/j273n7RpMnaxYXr1DZCsezTrkxrV6ifVmOYyWYXCkIo7ApK6qpspTNck6yXuK4Ho9fPGJ4+pQgCNDaUKuKusipsg15lrJZLHn35i2XNwtKZWcCwyhgPB4RhAGiRWwpRVVX5NmaxeKW9dU5aZrgOoLBYEQQDlC9w51GeDPr7HgeSG8X9G3v/37AKDvB4nauQzdEOlVJlqSkyznr9Zq6qgh7kU3gjScf7CM/EizecTTfl97p/Gbeu82dNADtZvv5q4cKjYGmAHW3vUDsde7dA+xGk+2VdUBVYv+OuoZk5zDt37PpnnPvuhpdve0v7e/2lTrNcbW25DZR6BMKHyEKytLSjRd5ThRFHB0Pifo9ai2Yr1MW8yVIn9mhRxCECNdBui6qViAc+v0Bg2EFboAX9CwDp9HkVU1aFBjA82QDJSzQZY6pK6Qr6YcRvX4f3/cpior1JkW4AcN+gACk6zGZzjg4OrKBWl01warBcVxqpbhZbPjDV6/4+z98z5urJaXS22BHei6u6zEZDxmNR7amp7qlrmtLUNBA1gy2ARdlRV6UlGWJFi44giDo8fSjTzk6PgUayED7rozVzUlWC8pkjTSqMeqSsD+kN5pZxrwWQiTYBm32LVoQpsCxs5OrJZubS/LVHFMWdtZNNvqJjrOdHQgCW7gNdka4LHI2mw1aKY6Pj5lOx0hXYgvEa1sUrqzDW1d2+6vra7777hUXl7c4jkS69v06jtMQT1hJjTRJiNdr1uuEPM/xPI+o16PXHxCEPRw3RHghyBAtPBsoGgdtHFqY4DaI2etnYjsAtjWLAltkbUxp6xLyjGyzZrGYk2wSgiCkP57SH00IwgjXC/j5LfcdCkuW0RjjxlTcTzyYvV139sJsZxn3t3nYfu5i1PZ8DWlN++7M/obt+90luDrDpzEde7QfBGy3MmJ/r7sp9zZAvLf67tka+u7GsFrB9pY509aE6LqkzDaUeYqUkpOnT3n0/GNk0OPVmzO+/e410XDK7OgE1w8s2YtWKOUgpctgOOLwqMIPe4ynEzzXI0lTkiSlVsrqHbrSFk82s+J1WeAIw2g0RroOURhhlCZLEsChNxhR1Yosr4miPk+efcxgfIhuKkUMqplZj7m+vubL33/JDz+8olLK1hJLgTLYWVDH1roEfsDNzU3nCdkGY7RussmaoihJ0pQiz9GNBM1wdsRnv/lTBtMjDI5lNzaW9dkRILQi26zZrBZoVVn2Ve0QjQ/weiMUAuM4Te2q2POo22sxRtj7iZckq1tUmeK6CoyD1m1ioxm3hJXLCAIP35MWClxaXciyLIjCkNF4xGA4xvNDBFjGv6qiLguKvGATx1xfz/n+hzdc3SxJ8oow7DGZTnE9D6M1VV3ZY2YJWbJis16SJzFVnuF6IZODE/rTU/zBDPwBygkwQqJMI/vWEK0Zg2WUvNeG7cjfVm9b1ESNMgWiStBFgqpyiiyzeo/JBoPD5PCAg2ObTPCjnyeKwi7vyS7dS5vvb/VT19sj7p/jbst8+LcPHK/rFP5Y5Pi+GPHuqXdG8J4vuPczW/cDg+VVkA4MBxHDsMJ1BVVVMb+9ZblYcXByyuPHT/H8kCxJuLm8ZL5cMxzZPiAc195DU7rkeh6DwYDJdEJR5BblICSbJGO5XBFvckajAVor0jRlNhnh6op3r89J5rc8Pj3m+GiGUhV1lYOB0XjK8aPH1ArevH3HsyePGQ6HlhE0CgnDwN62UdRlyc3NDf/w97/n229/YJOWRIMB0nVZJTllrVDKMJpO+M1v/5Qg7HFxeWnZg5tn4wiLNAuCgLgoSNOMqipboS68qMdnv/pTJifPmsRNO87YTIAUsElWFEnc2DNL2hf0xk1ts036tHnFLRVAB5MsEJi6IFnNoUyIfBeHqkkQKWoH5JbZ2fp6Xj8i8D0EhiLLSBZzkk1Mrz9gcvKYwWSCcW0ZgapKyjyhTBOqPKXIM26uF5y9uyBOCkTjO0ZRRBj4CGHrz3VdkWcJ8XrJcn7BerVEVyW9qMfk4JjhcIwRHikjhBvY9qs1Whuk46Gdu+HariEL2mDR1re7Qm/XbWGnZU4Rr1mvVuSbGASMJhPG0xnD0dDKpH1g+ZGaxfuZnb1F7G/7oeP85KXjAZkH1rcZ/rtG6KET7rs1u9+693X3HHfjxR/LZtmanQecKtMJm42xmk5+gFNbUXpVWQrvXq9HENmiWuMI8iRnsVhyc3NLfzRDuh6+HyIcK9pcO5bp1AsjokGNccMGRgpZUbGKN6Rpzng0pB+GlnBClRij6A8i/FGEdG1jzvKa1+/OeXt2xXR2iBf2AasNeHh0QBBakgKlLbw0zzLWccyb12/4/R++5uZmDtrw7OQAHIEygjgrKJTB9QNcz+PN23fc3M4RAi4vriz0SDTaOo0jXGnLJqiahy3cgOH0kNPHzwj80ELOjNUQcxpnuC6syLcuMxyjth2l1xsQ9IZoYXHajuPsGxQaRxyJVpos3rC6vSKdX2PyBEfXWyFqr2FE9VroghAYbRqNw5KizHEch9l0wng8wvOkDRCN7eBVA90om0Bxs455/foN784vieOE0XjEZDImigIwVmcpqyri1YrF/JYszRCOS9QfMJ5MGQyH+EGEcVyUlig8tONhdRWdTqsWtEHDdoTrTI21QYuDtn+mxqiCqk5tRm0Tk2wSqqJgMBgymh3SG1vhbyk9hGhJMH4+y3140n1XqrtuZ6A6v37ITnQ+7SerftLVvXfbrp9z/5C78PSfa4Mf2v7D1222UHHX9QjDEN+1rGx1VaLqGi8I6U8OGM+OkJ7HN19/w9//wz8R5xWffDHZEtwIYYMPbSzBjBAC3w8YjS3DnnAc1psNq/WG/mBAEPo4jmVNreuqIUUpCFxJOLT90hjNarFgcXOLGw0xSlNkGatVzOzghOFkhuN6OMKhqko2qxU3Vxe8fvUDP3z3A5cXlwR+wK9/8QlZXnF2ccvFzZKqqm2tSxRxe3PF/+1/+r+SZxkX797iN2zKge/R70V4rst6FZPlZcMoKBBeyEdf/JqXn//KSjhIiUPrlFoiLtNoPW7WK0ylKJVBS4/h9BDXCynbwF+0BBFYdtBtcg2M0VTphnhxTbZZIHWOcWymvdViFtgZRem6+L5L4LsgDGVZWIdPKwbDAePxmMHAMtcqpamqyurGVqUl4WrqGV+9ecv3r89YrBI8P+Tk5BHD4RgNVFXBejFns15Y4p5sQ1WVSOkxnp0yPXpEb3KEdkMKJSm1g2gdwb2W3SQpmgTgrt13thLYwNvUiDqDOkaVK6ospshz0iynKkqiXp/h5JDJ4SmD8RTH8+FnaOu65mQ/ZfTw8iEr9d7fGp/oXnD44A7v57G/b9b2k1+7pN3+b3ft+X1/rxsV7hzGvUOJ3dDZTZIZzNYf8VxJ4IeEfoFRNVmSsl5vmEynnD77iDDskacpN1fXXJ5dUBvBcHxoSbw6jqUQVnLC832CMGA0GnF4fIIRTsMafYXnW41FVzqWhd2VpIsEjObpi2eMh5EVf68qiqzg5jZFOx5PHJfFfMlmk/D8xXN6gwGOtAGTTVBnLG5XnL99w1dffc3XX3+DIwSffPyc40ePePXmHe+u57vkp4Hf/f3f8+1XXxFvYs7fvsFzRINkAt8P8FyPqraEOErbmTYjBOODR3z8xa9we4Nd3XFrprRBCEWyWlCVOQ4ahdWODgdjOxNJm5Bt3leLompjAxpbl6yJF1dQbhAoENaueb715WSjHysdgedK+n37XKssI1mvKbKM4XjK4ckJ3mAE0kFoRVUVlElMnibUZU5d5MTLJW/eXXK7WFPWmijwGQ4H9Fp5J6Oo8pw0XrGYX7NeXpMllj16ND3g0cljBpMDHOlRlDVFbZNibekSWAm5tszobmfZunhYniDXsaoLjtC2XKuuKNOEOF6Rr1eURYHr+4ynE0aTGUFk0Yv3km13lh+RzuiStzwUlHXT7a3ZuQu5arLs232aGbruHd477kPX0kZ5nSz7XtrngQjzA/HkB060bYj7l9k9SPtDx+C0g3MnymzXaIOlQZcuumo6hSMJexG+a7W5EII0LXj77oq3Z1fguPQHQ1wvwAiBIxracmydjlI2AA2iHp4fILA6hov5mqquGQ/69CIfbWpQNY4rcXt9PMdgqpIss+f68qvvuF3GOF5kIQe1YpOkjKaKuq6p6pL5zU2TLZtzcX7Fzc0NCIff/tEXnB4f4EpBVlb87svv+d03r6gyq7EYxwlFkVFXZaP9Y2c2W40ix3EaSmZD3WTFXeniBxGT6YGdFpe2blB0Zi6M0tR5SpHEVifQKDsTITzCwRg/6mFEA283At0N5kU7z+xQlyWb5YLNcoHKUhxVIbCwN9d1t3+Oa903pWrKUqNqkI6h3+/RCwOihnDD6vGorQNVFiVZlpJukm0C4O3ZRQNjU4xGQw6OZrie29C1K+I4ZrlYUZUVg+GQ4WjMYDwh7A0b8g9h9eGMsJBTHIyQ2z+cbtDYNslm4BZmS/jTQlExNbouqIoNVbayhBJZjtKCwXjKaDqlP5zghRFC+hjTsDT+zJaHb6l1cN4XPd2duWvdnk7tGK3TdAdgddcmbY1O54K6zkTXhjZeTPfsW7/JtFvvjtcGEFs6rgdvZ38f+7HrYr0HNWKweObmGiz83c7k+X6FIyz0yIt6+J5L2BvgSMm3X37FX/zl33A1jzl99oLRZIofBLZOw2jAQTf9SNU1tVIEQUAYhiilWS6WrNcx/eGYIIzwvKZmu6rAkYT9PoFTIVFkScrN9Q3XlxfkecHkyLJBX9/cEscbpBegNaSbFevVitevX3Hx7i2r5ZL1ekOR5zw6PeKjjz9m0B/w/at3nJ1fU1cVAmGTSEazXMzJs5y6rnGMot8LcaSk34sY9HrkRUFeFmhjWaKl6zE8OOaTX/yGweQQjYODQDVC8C2VkGoCqyJJkLpEKYX0IwaTmdVCbYgl9gZZA6BpoTSmqkjXN8TzC+osxnE1xrjW+WhthLCwLN9z8D2J42DJX2rLKD0YDJhMJvR6veY3RV1WVKWFkVZFacksVituG1mU+TKmqjWHx2OePnlMGAagFekmZn5zRbpZosocT1qY+2B8QH98QNifoBwfVRlqrTHCRbRi1I0fIEQrS9WsFLtutNc3wEoolSmqWFGXC0xhIcpVZZmsR9MZ4+kBw9kRQW+EkLKp//45Mtz8mP029749DPx7z3HuZqf+2dmq91/Lg7/fMUsP7WG62773+Ptkine3aAPFNilmMASeJJSWf6JqiJ8C3+fw+IQg8G293u0Nl+fnpGlG2B/aGsQmmd3i+C0bu6YuS7td1GN2dIyQkjTNSDYbTk6HjEcDhoMevcinrgqM0Tx78ZyeVGSr24aQJeeH12/57mxBNBjz/Jd/wmK5RNWK0dBKTxitSLOS25trLt684erqgs1qTZZlfPTiKU+fPeXJ08fEacUPr9+gtR3TPNcFXXN19pbA9/B9n0G/R5kl1MpskSVKKYqiQDU8DQaBcH0OHj1nfHBsfRdjdoiWFiquSpLVLUbVDbLGCtFHwwnCdbfvsFu+1r6xdh6yLkvS1TV1usZVCqUrlFGUJfi1Sy8McMPAstB7TfAoHMoso6xyyqJgMBozOznF6/XBcayud5lTJAlFElsEWFmwWce8e3PG2cUNeV4jBIxGAw6OpgQNr0WeZqyWC5aLG5J4QVWkeL7P4eyQg0fPGQ0tx4bS4NRghGwQYrZN4LjNrJ/T3Ou9kdrWtze/SeyMt6MVqsrJN2s2qyVpkiDQjMZjRrNZE19YnVqBaThO3r/8aLDYvpju1W2/ig7VfKeLtR1ul7Tpru9Y8jbwu+vbdo52ty4QY7aQ1F3GR+xLXDzs2XWO/v6HsnsNe6m3naPUnaHq7mXMne13qxwsTAgjbBZXNIKmrrMlIEqyku9en/PN928wjsvj50+YHBzgNB3POk+GqqopClvnJxBNLU5IZRw2m4x4k1rdwvGAni8RWmG0LboWRtgi5Y2lRn53dkVV1cxmU45PThiNx+R5Tq0188WCVWwJFW5urinSFE8IpqM+02HEeDji9HjGdDykVjVvL2/ZJAmbNKfSEnS9LfId9IYM+33W6w3X1zeWWjpw6YceRdkyczbFx4FP2AsJe73ttLhuOoIjrEy1Npq6yKiK1GoDaUVV12jfpTeeIb2AGguvRNDs08lGGUArss2G9e0NRbJBVBVG1whHg7DwN89zG0NijWupFFo6hIFHv9dj0LcYd8vmZSn+tVLUlS1eLsuSPMu5urrh7dszkiQj3uSUpYWyHR3OGPatQDeNdllV1YRRxHg6YTgc0ev38YIIIV20hqqqqWpFWWPrMmXDgCraekWHRutjS7TS9j6n6T/WsWz0feqSIk9QyYo6W9sZIM9n0G+C1P4A3w8Q0rIham1Q1c/PgdpBLjt2QuyHSHetxocy7nczVQ/7KA8EX3c2EZ2YcRuz7nHdd5JnZve1taH714INDh6wf3uBaGtT25rLzjV24xFa1mfTEGoBaNtXPc8lCBxct0Y4ITKwM/XGGM5eveJv//K/cnV+S296xOnjpwxGYyuKDoCzbWu1UpRlSV0rhuMeUb9PlhWs45isKMBx8IOQsBdZ0gFjbNAp+hTrG64u33F+9o6b61uMMYz/3+T9V5csSZaliX0iolyNO78keNKqyq6qnu6pGWD14M9i/gAe8ICFntVoAIPuaVKVlZWZERnsEudu3Ey5iOBBRM393oiMrEL3YJAJjXXDiRE3MxU5es4+++w9mxGGMVVVulnjfUnbGfZFwWr1wM31NQ/392A7hsPMKfoZy7Nnz3j+4jkg+PrVJWVVOacK73tltCYOI4bHU6IgoK5rFsslbdcReQucruvQnRMYwGjCMGY8djN/WhuU7QtEN0vtPk5LU1cU242zstEGiyQbjBmOpu48HYxyeor9u8sDoKn3rOfXFNsFSlfueoQE4eYWpRCoQPrkSaKUowILYZFKkWYJ47GLR0I6ul3X1s5vsalpmtqpZK/WLBYLVusNRd3SWUiylB999gnPLs6x1lAWzpuxLAuEVIwnM6azGflwQpAMUFGCIUA3bm4Lq1DK+W+aw6VW+tkocVBPf3zvj91HVzO7WR1d7+nKNbbaYNoSiyDOnfdnPhqTDkYESQ4y8H7Axo19/CkefY7O7+nq/QGA/Qej1vvh5Z9UKP7++PQYzX4PaPX7Xs93v/gf+uBq301LsXxvmHShjgNt0hqCULn8rnPsIQHMZjPiOKbe71nM51y9vmS7XrsxmSwjir2egnH5iTHONqOqShYPcxaLJS9ffkg2GFCVDfuixFoYjYYMBzlZGoMXuRqOhoyziHp9R12WbBYrvn11zXyxYpCPODk/IwxDmsYBW3VVcnN1yXa9pK4q6rrGtg2DNEU3LVJInr14xosXL5FK8fr6G5arNYCbq4xC0jQlHwwYDDLGwxH5ek2x21LXDUkck6aJY4YY6yj4WISUJGnKcDIDpZy/JI9AJgDGouuS/eqhx67QFpAh6WDkC2y/Zi1em8E+KSMsVhvatiIwLafHM/JggpRgTYvxs9FdXbHbbVmvWrCaMFBMR0NGw9yJQQ4GTI9PiLLcdfO0a5x0xY66LGjr2imJrlZcXV5xe31H1biMMwwlxyczptMRAktZFGyXDywWzgrEGs1gOOTo9IKT4zPCdOxnr10O2WnjxgpEz1KzLveSgbeqeizIxNPii8eop6xTlNXlnt12zX69pK4rwjhmNJ0ymUwJk9hbVPUL2xzoxL/v+ANqqL1iwXv2EH1JdWiJPinrxGOV7x7XzxI8TVh65P1d64nDMOaT1/B+gDjkRe/u+ieNzyfBTLwbUr4TFt/J596NDj2t8Wlcej/QfOfC3L+3PlXr/9yTz0RKCKTynlYOXSr2Ja/eXPG7r15RVC0vPn7Oyfk5qZ+X6LoOY1ybv2layrKiqmpUlDs55TSjKho2+4Km7RiNhoyGGSpw1CxpDcJoqmLPfrVgvVywXm8QwnJxfko2HHN6enygeIFltVqhhGQ4mRJKiekadFuzWi5ZrzbUdUlZlQwGKWVV8e3rK27uVyACkjT21E2nAng8HfHi4pz9dsOr1xkSy+lsxCCL2JcVZVlS1R0dkjhNiePYI23aqS0ag+s1uDVntEZXFbapnUF159T04mHMaHqEDEIwTkUKv8H6GcmeylQ3DYu7e5b3jqoQ2NqZiCtHzTrMLCp5KDZN12GQxHHOYDAgiRSBcuu76zo/CN7Q+PnLqqpYrZbc3d1SlgVZmtB0miiUSBlzPBsTKkHXto6qZ6zzKMoysjwnThJnUi4CJ6VvDcZ3TzrtEjq8ZYbp7TKEdKIPPaDyZF2/q2FhMLqia3aYcoup3YxDkmUkgzHxcEqc5Kgw9GbrTnK5bQxV9cN+PH+Mh/WtucOOFu9PIv++x/i7P+0kPvnsf/gZ/rHHe0Xf9yZG/7i/0UfdH77DkwL3gJn5tPJJLnhgNh+q2f6LcfSsUBKHEoVEmgDTVNxfXfPrv/077q9vGA5nvPjkY86fPTtYxTyKSdhHVc2qRgjpKPtRzHK5oSobx0II3X4ZDodEUYy0NaKr2TzccfPqS+Z313Rtx/HxEePplHQwJMqHWBxaXFY1u90eazqCIODs/IKLZxc0ZcWb16/ZrC/J0oTRKCMIBNtdxf3Dgn1R0ftwRoFiOMiYjIcMsgylJKvVkt0uRElB5GnsSRyRxhF17RRi4zgnVIL57Q0X2zXxYIASrkthfLZqjKbYF5TFzsU602Et5KMp8WDsEgsPoD4mTT0d1RWBRrcU6wWbxb33VuyA4MAuUMoBdYEST+wkXKEnAkGaOCPvwWAIQmK085F0szs1dVVQ7h174vr6hrKskSoiz3LSaMPF0TE///nPyLKUYrdl/nDDfucoxL1dUJ6PEGEEwqUkunOKgdYKpAqwSoFQ9MJO7n1KsNIzVd5d04c8oS8UmwJd71B1CZ0TRUryAelwTJoNiJIMFSVY3yXGGnTT0jR/ep6y7xeIPwxZfff47n3/SdXgDzzPDz/XuxD990F374P4/pan9at9t/3wdFa7f/Rjiiue5KTWx76nf98SSIEwhq6u0V1NOsiIk5hiv2Vxv+Tm+prVfIO2kOYZ+WCIiuKDZYb14yd1WbK4f+D6zSVF0znLrSCiqt1ISBiGDIcDx6DAWdgEgSIOYLN4YH31mv16xXqxIAwCfvaTHxMOx0SDCWmWkGYpUilur51Fw9HJjE9efkYYh6znC774zW+9fkbG0Kvfl0XB5eU1213p/EmV88fOBwPSJPH+gpooihgOhqRJy/npCWcnM/ZFyWqZ0XTtQXQsG42x1rDb7RjmU8JAYTFYK+kVPMvdinq3dEClgbaDIEtIsqHPaXq+hX0sFJ8UJ7Zr2cwfmH/5D2xXS6SuCMKAPEuZTCecnsyYnJ0QR05YqC4Lit0WiUYISZJlTKczojT3TBk3RlGXBc1uR1kU1Lsd8wfHVOk6zdn5KTos2G7WhCpgNps6H+CqYr1esVvMaZqGJE4YT6fMjo/JRkcEgRvpkcIV1Y3X7iD0TDHrRCWFChwQingEK95b8S7e+8aLrmmbkmZ5y3bnVGpHsymT6Yx0OCRQofcrd91xa5zg5na9/r17D/5gZ5H3Msx3vnCI3L7YeorB90qg75SJTwtNf5+nEeOg8vm0sHwX7+HpA94tKg+Zy+GW94PRPyUgHl7q05cjHqv6w72+R+nQJRFPXoMVICQyCAhM5IZPrfN22u8LLq9ueXN5jdYds+MjTs/OGAxHyMAhnEZ3DnHoOsq6YV9UFGXDOBt7zzFFWbVsdwVRGHJ6NGWQJgTCIK3F6oZyt2Y7v3MIte4YjgaMZIhKUuoOlpstUTqgbVuqqiGOYqeYOhoRqoC63LFeOAnkq8srmrYhSWJG4xHL9Z43V7dUbevkh9OUQEmf+RmscepdAsvJdMQwi7k4nhAFktYYRsMRr68XrPYVNkhphaIqC+qyPIhDAJhe9MOrkBndYqx2ghZty9FwQj4cu8LOr9uDd5i/YvR+iU1dsd9uMF1DJAXSKoT1RtrCCeoo6YU6/IXCCJdUJUlMFIYESqAknmrhCsayrCiLPftdwWa7YblYoaTk4w9fMhoNeVismC8W7PcleZZhjaHYlWijieKEwWBINhwQxykyDDl4dhrj6GBemUzjkCHrC8WDaLLfdAfk7cmaPHxvDMbUdO0eWZdEWhPGMXGQkuY5YTpAxgOkCgFPi/Pd292+ZLPd/RN20h/T8bhmwAffJ9BnL67wHqD3KGLzJLk40OO+BwGz7zz2/SBzeCp/Rp/e9l0Y7X1KirU9QADvdiCfxNuna+EdfXg8wGcPNe/hrt8bTJ+QY4Xz8MNqhLV+HkQ7NoC1tFXJ/dUlX/z6Nyzu55yennL84adMn70gShNnKyPcfrPW7Xlr3UWsaRrSbEiWD7zKXknXNMRRymCQMRzkpEmKAOrtirtXX3H36gvqcsN0MuX04pzx0QyhAvZVw2Zfs9mVyDBBBiHaGMIoJIqcqmrbNFytNtzd3dO0LR9//CHj8QhwSqZ3D3M6Y1DKjRBMpmPOz0+JwtB5pRV7tvsCiyWMIsajEefnZ2jjVFnnyxWdNigvULW6v2G7fOD44pmzyfDzUNp4g/hiT+MFcaw2iCBkeHSCTDKcq6RfpNavh14uvY91VclmNafarzFtg1EWa6SfkxJPaKeuUBRoJ3qDIAwiMu8FC/iZ0IauraiKgmK7Y7vZslgsuLtzqqfj6YzJ7AgrIharPcdHx0RRxM3tDbvNEt2WTKZjZrNj0jwniGKsCB7nzK32n4HGaItVTgjEzew4Zom17wHGhySqf+8cAEfRFohqi20KlLQOEMsy0uGI2NP7xUFN18Vy02maumL7Jxrr3o8k75dM4imd7J07iO9MJP2j86r/UszsyfHdkvL3FJn23ff2HXDffxXv/PT+/b+rgu+mjgxKGKxuwbaEgSIQLj4t50vub+9ZrzYYhMuVplPy0YggSg6gvDWGrm2odjvWywX77ZZ4NCEfDjHWsNnuKMqK4Wjg7WnAWuOt5GAzv+fNV5+zv7skVJKLZxc8e/kB682W1zdLtrXm6GVDkqSOdZHG/OIv/xmT4xlKSjbrDdfXN1xeXiG0ZjyZEEYRCKjrhuVqgzYQxQlhGJKkKWnqGBdKOJVWawyDwYAoVDy7OOVoOmKQpShhOdnssNYQhDEdIc1+w/z2mnh0jMyyw3XSAVeG3fKBrtoTANoYGqsY5kOiNEM7M9nvP9s9lbcpKIsNmIYokpjaMRn2myX3dzdcvYo5PppxNJuSD3JC6TwPXdc0YjieEiYZzrLCj2KVBcVuw37xwGq1Yj2/pyhKBoOc82cvyPOc5u+/4JtvDCoIiJOEru0oqx3b9QaMZjKecHx6zHh6RBA7S7zeX1JjsF3DdrejqEHFgQfGXKdPBIGzRvv+Ff5kobt/utxRbjew3xHHEflkSj4ak6QJUgV+ztPnDcZitXaCZHf3P/gX/nCx+G7Z816Efv+eT3D0J4j0u0mIeJJo9I/yW1U8Fn0HPT/f3nvsRvrb+rznUE4Kemj1YFlh7XdezyHyWfsdZdRDYWrfvWv/Omz/Ig+JoX0nmXqah/V1NMJJmAspkEGAJATdYFrNbrvj/u6B1WpDFickSUo8GLtFHIVIr37aGovVrfNQ1Jq6adDGEMeJGyRuW9brDXVdczSZcjwdEUoQRoNpqfcb1vN76v2eOEmI4xgEjn5VG95c3XM7/5Lh6Bsm4xFV2XByek4Uxc7E07gZoVffvGYxnzOeTLi4OOP583OyJOZ+uaFqO7I0I04y4iw5FLZ1Y1iuNmw2O6zVRMKSRK4IllIxiFMGgxFHxyfcLnfcrUru1hVlUTiPLa1dEYfrrDoKakNX11jfeWxaAyrh6PwFcTY8rEQhpJ/Re6R0OcsOh4oLq0mikFAIME5hK5CWIFBOaELwTqs/ikIGeUYSR66rJ5waYqcNTdex3+1ZLZYslyvKsgQs4/GIyXTCaDjAaMt2XyClJAiddHxZ1RjTkiYJg+GIbDBwNhph5BIkT5Wx2hW4xW5PVdao1JlTW6GwOIVZiwThEfjD4vUInO/WCGvBdKBrpGkJA0jChCh0HkNRFKKCGKTEoX54dcmG/b5gvliwWm1/bwz44z3e3fRu/XyXO9BHp6ePcJteHgCJp00O96sn7Invy1beh/nfu61PZA6xzvaR7/BX3mXBHyb9331C+/6T974X3/tC+r/z9LYn4NjhTzyKT2GdkEigBEkkUTTQtdTlluXdFW+++Yp9sefZBy84f/kh0eiYWkRu/jp0XbBeXbUHe4zvaAeBo4Rb3dHWFVIqT8saEoURgVKYruHu8g23b74hwPDy5UumJ8ckgwFIybaoeHP9wO++vUJGGYPhCKsSgjAiUAFGG+pyx3w+5+uvv6aqKn7ykx/zk5/+iCxNKcuatu2oKifEEnhhm2NPO9tvd6w3a9qmcbOT1hKFivEw53g2JYwiRqMR08WKsqpptWVXtpS1U+Tsz52xFo2bkdZNTVPu6LrGA4cQpDn55MT7Uj6encM6sc5zsQca95sVm+Wcri6wXYNBYIxTfY2jkCyNSOKAQDkar9Yd1hrCQJIkMUkSI6Wk61rqqqIs95T7HeVuy3q5YrlYsN05EZvTi+dMZ0ek2YDN3l2nVustr16/JYkVSSR5/uyEk9MTkix3nroIN4NtXIIorOugdnVBXXUQK6TSIPwsq+136OMSt+LJnuxp0R4xF02FagsCYcnSjDyLSfKcKPGjDv1a1i7x1V1HXVWs1hvuHxb8/8/xfvD5fff5r1j1/ZOO73tN4vf8/r/smcX7t9p37+fm/918mBBO6AYsVbFnOV+xWCyp65ZsMGA4GDoV8cGYbDgiSHOH/2rt46/w+a0TuBmO3Rx227YsFkuMhfFkSpKmaOPGZCSWpixYfPs12+WC0XDIyekxF88ukEJS1xW7fcHd6p5FI2lajUXw0cefcHJ2jhGWqij46suv+c0//Jqubvjo4w/48KOPyIcDlAqoWkNVt0gVEESuWIyj2PvGSowxdE3ttCikJE1iwjDAGkOoBCfTCZPhEGs1TadZbEoW2yW75RKptTtz2oHtzoqsYrNaYLsaa0EbaLRkcnTqAMV3mlNPLm8+T7NG09UlXV0yHk9ILy5IQkkQSCKlHDBrNLqpaeuG9WpF1zSESnJyPCUfDIjixOVbxmDa1mk4rB6YP9yyfrhlty8Iw4CPPv6Yk4tnZFnuRrc6p1UhYzdrXxR72mIPwOz4mJPTc9Lh0DPFpKfUGk9xbSg2G+bzFUF2TBTGaCMPuR8qcIyH37di+2u/1Zimoav2CNOSjcdkowlhnhOGEULJJ5664gCm7Xdbbm+unRbJDxx/gIb6uEMOaMo7r/D3QUzigKr3VJ333t7hXt/pE75Pn3u30uMR6u9fW0+QeoT0D6/MV9DvvlLx+KVfe+IxAfu+d+jT7PduFu/8jUMx7B9oePL8FpSwhIFAakvXusWxXCzp2oaj6ZgwitlVNa0InbCKClz7GeE2pdYH9VCE8F0oN6y8K0o2my1BEHJ0NCXPHKcd22HakmK7ptrvSKKQ0XhMGIV0bUu12XP3sOTrV5dc3i4IwmuenZ9zcXFKnCRUVYnVHcv5nC9/9xWr5YKXLy747LNPODk9RghLXdVUVUPTtMRxRByHBN47KAgUXaep6pZ9U2GMJgok4WqPNZDFAXmWMBjkRFHKaJAz39YOudYFuml9DuqTYWMxbUNb7GiLndv0bUvVaOLJCWcvPkZFOa0RWO2LLJ+oGwNaW4y2dE3Lav7A4u4KW2wIhAbbESkLoaSLvIdSJ9EufUUpwWCQMhoPSBKn2OhmFA111TBfLFk8PLDdbOi6lizLmEzGTGZTsiyj6zr22z3L9ZbttgAhaFtHfcjzIflwwGA4JIxilHK+mtoP6Ag6it2G5XzOarWhbmEY5MR9oYh4h4badxncZ2foaeTCOuRcmhZpWiJlSVVIFgjCyFmzSImXo9f9WIZbr7sdi8WSh4cHdkXFn9ohD7tcgBVes+VxPx/ih79CfUfI62AILh6fhyfP8fSuCH9eORRfj+DYkxLwPWrd9z3be/XgO7d/pwY95Dz+/z5uQa9M/O6zP0bEpzFWHECwx3foqZD+3qGCyIDQNU21ZTu/ZX57BVbz4UcfcHz+nCgbsSw66qYjyARSuUF7ZzXjkn0pFUIolApI0pQkTemMYV9URHHsipI887O5lqrYcn97iVTw/MVzZkdHBHGEtpZ9WfPlN5f8599+w6urBRrJ82fPSGNF1fg58HLP9fUVb9++pdzv+fSzj/nzv/gzskGOFMJZbZQ1dd05IEoqsLDb7ij2e8qyoK5rp2BnrWcmSMqy4vb2DiEVrXazRqFXybO+Q3AY/6SfVsTNnTQ1TVViuo5WW4yRjAYTstHUzScLEKY/qw4MMjg2h7AG3VRs13PK7YK2KbBtjdCSJoC2Cem6kE4Lug5cIebANCGsn9kOAEeVb5qa7WbthH/Wa4rdjqrYo5Ti+cuXHJ+dk+VutqjThu1uz2q9RRWaOHnLy5fnfPThxzx/fkEYR24Ox69Dt/4MmAbdOI/XxXxB1QqGpzFJ2q8vHxOFi1OHkrFflP75HJPUYkyH6BpCBYMsZ5AFxGlEGMVuXAF8F7tzYj5aU1c18/mcqxtndfAndxw+7+8/vnPTd0JYHxX+MUXj7yvk/msVnP/4QvGwRH7P+3n/N++HxKexU1iLpENJSxBJAhNSVjXb9YbtdksYhoyfTxmNJ8RhzGa7Qw1GJPkIEboxG6sc86LrOqI4YjAY0FYV05kbpdnsS9abDXGScHTs9Cv6olJozWYxpy42XJyfcnE2I80SR/Pc7mk8GHVzP+c/fP6G4WjMdDqhaTq0ERT7HV999SW/+rtfgjH89Cc/4sPPPmUymSCDAGuhs9cUZYlUTtVZKeWKXKNpa6fLUDc1Xdt6FkPH3Z2iLPaEQeAf44qiuq7Z77ZUbUIcBoyGOUSR23u6A6tpig37zQJ0d+ju2yDl5OKlm1c2HU8t8/p0+JHx48TA1ot7bi5/S9e0hIEkH+TMphNmsymT8YjR7Ig4CpFS0NYVdbFnNMxIkhSsRXcdumudfdjDLYvbS5aLOWCZHR9z9vwls+MTx7zqGuqmZrvdobVBGOOYZdsdkTQcHzk9kCwbONGsft0bJ8rYVCXr1Yq7m1uWe8Pp6CWIwI0JAUIohHRuuwDmSTXzBC5zH4LWoBuEFAxGA/I8JIxTZKCcz+MTcVBrDbpt2W033F5f83D/QNf9MOX+hzuLTwq9pztG9JloX6XaPomQHpHvN5p5klD4mbMnqHd/P9d9fKRcPdK6bH/rAbU/fEhPkpPHCNCvHPH0kU8/0sN3j0hs/6snUcE/jejf2tNnEiDse7NI/aDtk6ezPjL1v5MYlGnR9Z5qt2G/2xEoyfB4SpKktAb2TYsUiiAMUcq3qd+fxbB4hb2cbDBAI9nsSoqyJktSRsMciaGta6xtMHWJ1i1RHDEa5mR5ikXQtB3bXcXVzQPL9Q5tLJFUxElEFMds9yWXVzekUcDb16+5f3jg9HjGx598xOzIDQ1L6RSbHpZrNvuSWkv2lUZIT10UEEhJHCrapma3LyispdpX3NytPBoVkKcxw9EQI0NWG28UqzRtU2F7KpI1tGVBs52zebhkO79GV1tM6wrGLIxJBiOQCt26Yt28Az3159Gtla6pQbfEoSDylIBQGuJQEioJ1rjNYyAMJXmaMxwNyLPUzyk6e4yqbri/u+P+7h7dtQxyN284Go3I8owoig/LpLOWq9sF233FcJgThiH5IGc4HDhFxyjyapD+xdu+M7Dm+u0r1qs1VdNhREIy7by4g+CQXcp3VrVfLz3P3SWV0ji7jFAJ4iAgDkMntBR41dl+n1ntvdCcmuRiseDufs5mu6Pt/vQEbp7u/75g+27se5ppvB9hfDwTT3f97wvs7n/2sDTfqbz6Z+Nxtujd82p5J1p9z/FeRvQEGHsa6p76xz59pe+EnKdJOPa7f/edfaVRaELboHSBLlZU6wd2qzmBFDx/+Zzx0QlBlLLaVKyXW0Q2JYxir/QLrnsECIkKIsI4xgKD0ZAoTlhvNuzLijhJHWUqjLwiqGa/WdF1Lccnp0xOTgniEG00dd1wezfnt1++4vJ2SVG3SBn4PSe5vLrl7uU9bVOweLinbSqev3jGT37yY0aj4eG0V1XNw8OCqm6wCNq2o2latrudm0EXj7PLunNxsG4SdtuC7tVbuk4fPBkHeY6UiqLSkMVEUYgUuLnotsbqBtFU2GqLMg1pHNElKVZGzM4uyMZjZCA93dzgtLy8UI2wByVoGtyMntDEoXSCQIEkDAWdbtnttjRNQS/THqiALE0YDjMC5YrdTmuasmC3WbNazNmsNzRtR6ACTs4umB3NGIwnhFGKsdDUDevNhjdvrtlsC+JUIhB8+PIFL1+8IMliZzhtnQexMdrRP7uWptiyvLvh7vqS5WrLYPaMo2efEQQhnd8H714Se9bRYyHpGt0GazWYjkhJhmnGKJOksUIGwtMAfaHo/35XN5RVxfxhzuXlNQ/zBY3+xxcjf1THdxhi72Q079/Z30W8AxI9va1/dF9QfU84e/xB8E7E+Ue+4P/Ce33fLe9Xgk/e5/fd7+lTWI2yLaE0KKMxumW/3VIWJcPxmOnsiDx3Spr3Nw/s9iVnpwNHuZauq2+MdKCScqrrYRSS5RnDsbOX2W4LirJmOjt2+ZE1KCmcD21ZUm6XzMZDzs9PSdMI40V2iqJivdlyNV9zv9ywLTTPP5wRhCF/+8tfY2XA9ZtX3N5cE0rBJz/9MZ988hH5ZEqgnKVH03bMFyt2RfEoLOMLjNr72Bb7PVVdOYE+ISj2is1mRxyFB6ApjiKUkpR1zWZbYtNjBsMBSZJgpMJqXFxEU2wWlNs1wrpiUWtNMpoymh3TWf095+Xp+XBAeFeVRIFkdH5OEEhP63e3Pfg5Q2s0SjoRttFgwLOLc+fHG4Z+RKllv1nycHvJ4u6GqtyTDQacPn/J6ekZcT5AgFe+71ivVixXGzptEFpTVU7oaDKdceYZFMh+3toz27qGYr9nfnvN9dUVD/Mt4eiU8zA9NLyMFUglPcvr96/eXthG2g4prcs7k5gocvPej93EHiB2vt+79Zqb6yvm9w+0beuK5R84frBYFDJ0qnQ+2zxwXa05JDKPJZ0L5E6I4/Ga71wlPC3k8Dy+aLRP9cueBKK+/WrxReTjJ2MPwwr9mOuTwq3PvvqQdShG34uN4t2v78bNxzBneTTGPgTDPvH+zukTT77zFFX/PNJ2qK6kK9bozQLbVMRpQhQ602MhFLv1jrKqmZzMyPOcIAwOCX6P+rvumMbilKXCKKIzhm1R0HpZ5DyL3DykbuhMg8I64ZpIEsdu9qOuO+7nG67uFuzLBoQiCiNOj2dcnJ9hEXz96jV1VXJ2PKVqao6OZzx/8YzhcIDwptkg2BcVd4sl+7JBixBjtZsZ1B1ZGvPZJy/58Pk5bdfy9vLGDUxv96w3JavtHgOkacwgXxGnOVYENHWNDSVGt27w2NSs7i65+fZLmvU9zX5JvV/R1QXa+woV+x1FWZAa59foEk/hzwVIJVBCYqTFypijoykUZ+SyIwlAoJFWE0hDHEnSOETi5maSxKF+aZKign62xc2b3lzfMH+4J1SKk+MjBsMBcZwQxTFSOTRHa+0VZjdc3txR1A0nJ0dMplPywZA4TZx9iqdYiV6ptG1Zr1bcXL5hfn/vjHTDBIIIqZy3orGPhbGAQ0fMfQIHWSCPhFqUtEQCYiWIAmcALqVbqcY6GqFFO5/IpmW/L1it1swXS8qyAqEIw38Ee/2P7BB9R7af93rnRg6/+06x9ajyghV+rraPFo8h7B1Yy4Wq9wu1x4Ks/yMHsOrpjOGTb96h4vlvepztsSspDqvhXcXXp2/Ovvc84rHD2b+HQ+x7jNP2APD1nWuN7CpUs8bs72g391S7NUjB9PSM8WyGDCK26x03V1cUreL0+Blx5PaKixv+UxG9Qpzzx0qS2JtRVzStZjgakWauoMF3+LGayXTCZJISxAnadFRFzWq15vL6jsVqh0agVEA+GPDRhx+w2615c3nF5dUzzk8nnJweM52Nubi4YDyZeOseMG3Hbrt384ZdhycROQquMeRJyk9//DFHswn7/Z77u3vmiwVFUbLbl6z3BVXdIIQiz3Nmk5o4iim0ZDhyZtyhFNTFlje/+zXLq28IdEUaBU58RxcoWjROpbmfmXYiXhKDQVqvGC0kyoOaNnDg1yDPCFJLHFiyOCRNQoJQ4uYTNW3bIAykacJsNuZoOmaQ5yglqZuKqihZLpasV2uUVBwfnzCejBkMhsRJAkLSaUvXOgG2y8sbXr+9oaxaklzwwQfP+eTjj0jTzK9R4/xodYfpWtq6YLNeML+75u76ht1qhQhT8uGEKBtgUGgr0H5nuNly8QS78Wvc5wf9uIESlmEWMUkUaSxwjVJHmza6A1/Yd42bT7y/n3N1fctms0VIxWD4wwnUH+fRz11/NwV9Gt/gSX7u87inmc/TjMc+pZ2JJ0/9XcTN//8x7vxTSsZ/+vHDReb3v8zHePgUonunnjQtoWgQpqIrN9S+0z4YjTk6O3N0RmN5uH/gyy++4vTiBYmfuaYfb/CiVHg6oNYdKgxJswxtLevtFoRgOp0SBE65MlDOI1DXe0JhmIwHSGlp6hLddJT7Pbf3G7769pJvbwv2dcdsNuMv//KfcXX5ll/+/W+o6o48MoyHObNhysWL5+Sj8SG3wRrKouT6+paqbnHzc67jhpSoUPHsbMbR7BOkEGx3Ox7mSx4eFmx2OzZb7YRbpCSUASp0ol2dEWSDkDCKaLuOajfn6999zvb2FWkcEtkKU+8R1tDUDVXdEMYRYRjR+aLv6bzd03MkhKP1ttUO0bWEShJHEXEak0QRURgQSOE8B5saozviMGQ6HnNyckIchc7uo9qzWa6Y316xWtwjTMfZsxc8/+BDBtMjZ/1mDKZrMV1Lud9zf3PLcr2jMxDiYujx0YzjkyOSND/MJlrrmA51VbKe33P19i03VzeUZYmMRozSAUEY+VPgmi2HjqDoV+C7K/UpLykQljgUxEFMGIUECqyQj6whC1hDU9dsFwtubq5ZzudobcjylOns9Af3yg9mfYF01CopeuTYvzQrD61feBpQ3NxOX+shhFef9Pez9E3IQ/X8bn1nOSis9v5GPkHpk6zDZn3vtb5HRn3c2N+LRnxXMPrxNPjvDjf/AbLFk2nvx4/kMWGUGISuabcPNA/XxO2OPEtQcYrESf3udgVvLm9prOLD6RFhFB0+c6Uc8qRUBwJa7zkmlMIKQdN1FGUFUjAcZqSxIpAaiSAMQhQCpKGrHJ1wuy25ny95c3nHZl8TJwmDrCGJLc8uzjiaTbm+vWe5WDIdD0mzlNEoI5RwfDQljDx1x1razrDZFcwXa1rj5o7QblbGGkOeJfz0J5/yz3/xU6JQUNYtq9WC7XbHzfUDv/r15/z9b37HaltQVJIoGzIYjdEqJsrGTGYzwkBSbh741b//n7j+8teMYkkSuU5C13Veorll+XDLN7/7gnjyDBllbn0JgfLdT2y/2fw/D3pIXx8Ia323VHjZ/5hQWaSwpGlMnmcEXonMGM1mveH16zds1ltGw9zZYAxyF0ywniLlkrmmadnvS968vWK1XCOA4+MjTk6PCKNe6Qoch926gFbu2a5X3N7cslouCeOYo6MjwjinMgoZBHTG0gl7KI7lobX1iIIInzwJrEPTBIQSQiUOnQOEdMHJdi4BNs7GY7crWK/XrDc7uk6TpBmp+hM0qQZiD864SOKDVL+hfQXmAK8nBRn2EIxtH2sOgeop6PTu/3svRCF5h7nwJLy98z2HZ+qVpXtRk/ePpwXi46MeKfLvTlva9x73TqR7z/z3QAd/N0r6//fFSQ3dHrOfY7cP6HqPCgKGQ0f9iZKE3WbH9eU193cLxucvybKhUxwWrsDVPdhhDE3TUBQFYRA4H6ymZbvdYq0hzweOSiT8uzKGOIqYzmYE0lAWBcV2y3K5ZL7cMl9skSpkkMeEkebk5JiLizO++nLDYrFivdny0QfnpGkI1jCZjB1VUiiwHbrrWG22rFYbrMUlb9p1pbTR5GnMX/3iz/nrf/5Xziy7LNhsVqzXa95eXfP3f/9r/vaX/8BqXTjQRjnfXUHI7PSCyeyYQMLbN9/w7/8v/yeahzcMIzg9PSJOUpa7gtW+oTQB+1oTj4/58Cc/RwbRO2fQ+nWqrQMa26amaUoCJRnlQ0aDkDwJiCI3k228kIw1HUpJsjRlNMjIMyec1rYtm82ON2+v2ayWjAYZ5+cOiY+SBBUqB2J22o0ElCW73Z5Xr6+4XzhxjOlkwk9+8iPGk5EHUb0CX9vQtTVNsWN+d8Pt9Vt22zVaCybHF4xPnzE5f4lQMZ2BFntQBJRCPu63Hjzu14L/tRKQRQHjBAaRJlQGhHHXJ91h2xbbdTR1w2q14ubmlvuHOVXVkg9yJrMjPwP/p3X0rKmnv7B+Nvgpjb4Haw5AUa8J4a8vxuc5VgiE90Z1hXifr7mr2pNUyv89/7+nN3xfwPv/4PjHPc13I+vTHPTpzS5UC977DUoYQhp0saZY3bFfr0izhKOzC5I0ozOa7WLNr3/5D8yXe372F3/tBOkcbcgBY73VVtfRVBVVWRIEEVEUUzct+6IgTlKyQQY40bDYFz3GtIyyhCjugQ/Narnh1bev+PZmzWK9Q5OQ5EPOn51xcXHOmzffslgumU4n/PTTC3brJUkgHMtBuZnLfmZ3s15zc3OH0RYZiCefi+FodsT/8K/+hp//7CekcYw2HWVVcXd3z28//4K//btf8eVX31LWNTK0qEiRhAEmiJmeXjCZzpBYNldf85//zf+Z6uZzVBDw8oMXHE2G1FXFdu3Yd9p8weXXnzL7mStme6Cofzn95VZ48McazWg0IBeua4vW1EVBJ918dp6lHE3H5HlOFAaEUjpArHY6GZvFA/OHO/brBVEc8eLDTzl/+QFxkvnY4xgLLkfbsZivePv2is2+pNWGURzy7NkFR8dHHkTz10uv7L3brLi5esvV5Vs2yyVWxlxcvGR08gyRTpBKuTn9fgTpMHb33TX4+L1rBATSEkkOHdWnbAvXXbW0ZeE6rJdv2Ww3gGA0HnJ8eko2GP/grvnhzmJxw2EYs0fekR4deWL+7elwfQAXSniKonJdDwPWCoztZxQcAn8I8D4v69HA/pePKU+fZHmMu78o8LjHHx2mHgvTR2j/8XM90OwOSV0fIyyHLqb/2R5enP3OUx0+o3dOnXh8Dm+qCUBbUa8fMOWGNHcyvp0IMMay2+/56pu3fPvmmo8++zFJlj12Yf1nAh5hkIJOG9q2c1QboGla6qYhCiRpEhFKgRI4vyzpPIC6RlAWjhu9Xu+Yr7ZUlVMzzaOYVmsQiuOjGWkSI4Aoijg5PmI6GaPbikAJ0izxiIUv1oxxqPlm516vtnTaeGqRpShLbu8fWG63TMcDVKiYHU04Pzvmz372Gf/df/sL/v5Xn/Ov/+3/wt2y4vyDT5icPmNXGwbTE85fvER3LV/99lf88t//z8hmS3Q8IZAZSjghhq5t0V3Lrpzzy//w/ySdPePZp3+GDCOEcPM7sk/IrXCJs3bJZFfXB+8abTo366PARAqlBGEUHkQelHJm4VXV8HB3z52nM3zwwXNOjo+IIjfHaIz2AhGuC+ysTkpubx/45ptXVGXJcDjkww+fM5tNkIFEmw6rO4yBpq7YbdbsNyt22w1VVTEYDjg6u2B2dIxFMV9XtAa0Nljp1/z3FCk9f87bLhJICKVw/5QgkCClKwEcym/AdIdgvdnuKOsaJQNmszFBkqJUiNZ/ejTUoFng9q/y/57c+GSu0PoY11N2LV76Guljmvvnkit5SNyNkGjrQSQhnkhX8yRXesJmeHI1fMxV7OMX+/ja/DeH1/zYQfR3Fo8PEo/3eK84tPTOV4LD0uHJs3AYcXzyt4S/PkjhVSy7lq6rEF2LCkOSJCcZH5OkKXVZcnN1w9vLGwgSRtMjoiz1szCC3p6l6zqquma73bLb7RmPRhhrqeuG7XaPRZLlKUEYuu69p9mEUYxtI4rNnP1qznIxZ7XdUlQtrbYMRwMCLZ00/WRMmibO7qZtsca4rpyUTsghjpHSfQhaG5q2Y7HcsN7uncgE7nWCRUrBdrPmi88/52g65sLP5B2dnHD27IIf//zn/PP/5p/zn//Tf+bf/bv/yG5XkQ2naBVjkyk/+cVfMZ7NaJuaz3/5n7n99ndMwo4gSoiUANtS7rfst47qXxQVnZAYqTh+8QlCBSRBQKgUgXwyguEpUUVRoEyHDCKiMCQMFb7BQYBDrgMZEIUBcRIjhLMWMsawWi755luXZL54fsHHH37AeOwSN+0TXW2cEXZdlFRFxXy+4M3bKzePGoZ89tknPHt24ShVOB/ati6pqoL9Zs3y/pr5/S1N0zAcTZgeXXB88QKVjKhMQGctrXW2RVYKkBLR+yzyJOrZx/Ud4JKmURQyiAShcsi7MU5N23Q1uiqpy4rFcsXN9Q2r9Q6hAs7Oz5keH7tuSxj9wdjxx3Yos6EXQLK682qeBol+zJGEV8eVyu0v4RhQoDyFV3l6nI+JgLHe9oWeNvcIYUAfdXiMHb/3FT6FzOC71IxHwO1pAmbfue3d+z8+rf2u+KE9/O+9u7riuY/H/doSWAJhUHTopqCrS+IsYzo7IcoyjHEFypdffMW3X7/h5Y9/zmAy8zmdo0m7PMHPJPtCpSorxtMcGYaUZUNZ1eR5Thg6BcsoDIgDiTWdGyMZDkjDFt12vL264zeff8V6vUMkI6Ynp0hSyqZhdnREnMZUVUUUhXz26afMjmKsaUmigCAK3bVH64NP9GKxYrFcO6G/IAAB1o+VWSwP93dcjjJOT46JQgfavXh+zicff8D/4V/97/nVP/yav/u7X9FUNWGaIERILVLO//xf8ez5R1TGcvPtb1lefUNUbiAM0G2N0SlFUbBdLSn3ezYPO/71ds1fm4DP/uwvMSo+APzvnkCnKts2FUJY0jxnkA/I85QoUijhCjY6F3v22zWNcnZGSkqaas9mtWSznFOVJdPZES8+/pij0zOE8iMS1rh4VxVUuy2b5ZzLyxveXt5SVA3aWk6Oj3j+4rnPB6WzRzGastizfLjl+vKSxfyBuukYj2c8/+hTTk7O0CJiWTqfRSmNywlxwMzjbPb37xgBKCyhtETKonztdNARsO7c7nc7Hm6uuL+9oyr2Tql7OuP49Myp7/6BtO4Hi8X68u/oJ+/t07Dsjb8PVa/fs70JOEI4cYIghjBFhCkiSBEqRkhnriuFAukSeCElRrj5C6Q4WAE4Gt0jCv6UsmWxnqrk7Yjtkw3+NKkSvrLuo0oPnj35+Sm19Z0T8rTdfYDj+qrRnz7x5PanJWuf6BkNbYWyNVkekw9jgsgpAHZty+X1PV98/Ya6NWTDoZu5Mxq8wIgxzixTaxdc2q6j67QbdPUFiTWGJEmIQlfESSRKCKQw2LZht1mznC+oqgopJaPxiDjLnZhKGBNGMXGS8fzZOUJKVODMV/MscQWX1qgoIggC1wXw8x4YqFtNZyxp4mwXurZjV1S0TUvXWb76+g1BoPjo5QXjUc4gjSFLnNFznvEXf/EzikrzH3/1NUmeE6cZwTDl6OI5ySDj5voNv/yP/47t6oFREtJ0jiIppeO0u05rR9c23Lz+mldffc7Ry88Ig8j5S/oL10G51hhM16HbmigQxLEikhatAasRmANlQOAQbGMMdVXS1BXL1YrNZk2eZ56WO3SXD09H6ze4NeZRkex+zi///nO++uYtTat5+eIZn332CXEc0jYtYOla1yHerNbsdhts1xAEihNP30sHY+I0o+2AbUun9cE02xUUj5SWPmnqV7OjprliMVCCQAg/++B3ge097WrKYs9mtWaz3tJ2LVGSkg/H5KMxUZwCirb7YfPWP8Zj/c3/CyECH7tcAv1EHxkhhEMWhb/N9piW8B1dBVJ5cM0nVjJAqAgZJIgwA+F8lZyAkRtcNwQcbE/AgRmCw8yqEAL7jlz470+xDvexhzznEezytx7WyOMTPgJ41ndK/S8fL8h9YfvYm8c6ynOPlAsMgRdFUfkYKU9QwtkUhPGAqtxz+eotX3/5DZttwcUH54ymRwRhjKNTG7pO07adN3x3dkFKudlChHSUzqIkimOSNCOMHEVJKQmdoW0qdqsl28U929Xc22tEaKEIBglH2ZCitax3BScnR+R5RhxHhKEiCJ3nl1LC02KVt+wRbg6v1ez3JSBI4sh1F5UEY7FWEweS++sr/v4//QfmV6dMj6ZMjo7IxyNEEBInMb/4xZ8TSMXnX3xN2UpsNGT68sd8+PHHZHnKV7/5im+++AdsV2MCS5yEDIc5jTEH6qayFqNL5lff8Oab35FMz0iyIYFyF/O+893bV3ddi9Ga0IsFGcsB0FPe+kcK4cFI6T73pkHrjv1ux/3dLRjNX/7iL3j58iVRHGK1uya1XeeEd9qWpnaxY/6w4vPffcObqzuquuWD0xP+/M9/Rp7F3ny8odjvKIsdy/k984d7iu2aMFA8f/kRZxcvGIyPCdIRZdOxW+2o2wITh73Rrr/KiidJY78GQfktIgSkSpAGAoXrOmhaTFei24qmKNitV2zWG+aLJVXdMDuaMpmdMJxMiZLUiWq87xPxJ3DI2/8Zo1un/mo7hNXu98L464UHgeRj3tXne0IESKWQQS9QJNAESCHpgiFCxmiVYWQChBgZIaTESm9ET583ciAvPKWk+jvxNK98p457t6Zzx5Pi0x5+fq+6fNJOFda+95T28N13/o4fQ3rn8xMWJQyBNKgwJB9NSdKYKE7QxtBWNVffvuaL331Dkg346LPPsCo46DhgHKWzbVvaqqAu9pRFQdO0qCACBLt9gfFWO1J6Rc8wIFCCTmvyNEFJoFzx7bev+fqrb5BK8elnn9BFTstiFgxZrJY8f/6MPM+QSjEejYniCGsFg+GIJI6QKjx0OoVvkixXa4qqJs0zVBQ5JoB2s37Cws3NHW3TsF0tPeMpdvYXUhKEER998JK6Krm+vMYISytyBsMzLj78jCAMuX/1Lb/52/8FU64xukNKt3e1dnPgTdthjCWWmtXdJa9++ys+/fHPXE3xBKw8AKAWsBrTNWyWD6wuVwRCkGUJw2HOdDxmOMzJ05w0iekaSahcnrbb7yi2rjhFwMXzZzx7+QGD8eRwbTJGO7p8VdDs1myWKx7ubvnq27fcPGwoa0uSxnz06UeMRiMsbhaz61rKzYq7u1sebi8pi5IwCDm5eM6LZy8ZjGcIqahq976DpiWUEdq4sQJ33X2PhXlY7D4j8Mq8gbAEfR+Pxzywaxu2S+f5uZ4/0LUd+WDI8ckps5NToiTFWEPb/bB/9g8Wi2Z/+2TnPLGz8NH4UIL5pKHfrD0CbUUAMkKECTJMEEGKlQHIAJTCCunkrb0ccBCn3hw3QwSJKzilVxASToDDmj4xFgfEHyFdG7oPAhaseFSV66vsflW9Xz+KJwn2ofH4znrsL9biMdj1XQL/81Mg333xc2KmQeqSJJbkYUYUOy63qWvu7x64urxGCMnLD19yfHziEnevBtUvuLppKKuGoqio6oam67yBZ+XsJUxHGEoCCUq6JCZQBtqW7WLO4v4GrGE0GROEMY027PYVKkoYDMdcvHjJYDBiNBpTVhXJ6yvuHhast3tm0xHCGuLYJWVGGycRLAR101GUJUmScHp+xPnZKUVZcHN7z25XIKSTbP78d6+4ubnnaDbmdDbkaDJwAi+Bom46yqqkbVv0fkcrFwyPz8mSCNM2fPXbf+Dq9TcYa5ysOs7/0FpXpNatpm6cTH1X7VkvbunaGmVzwKJsrx8l/eysQbc1XVVgTQfeEPYwA+w7G23TOA/FrqWuQOuapi4BePHiGcfHTlGr8/LXAtD+NdpOU1Ylq9XaCWt88TW//NUX3C3WhIHko08+YXZ0hMF1YLu2YbfbsdnsKMoSgWA4njAaeyuNJEXIx63qwINHCXknLPXYFfI4gvO9w+VYSjiaQiAMSlp/W8+jd4Pr5X7Herlku9nSaEuS5IymU7KhKxRl4Pj02nzfFfuP/CgX9B25nhLcf7rwXuGEk+XH+11p+s/ysZAyvcmsDAmSnCAd0RhJ5ZU0oyQnTIaoeICIc2Q0QMY5yJDOCqxyhuMuQPk/fagAefRB64PVO8DWu+ugj9E90HVQL7U98Ca84Ij0xaovgPtH+1j0aFnwZKaxp7BJjVKQZCmxPEHUCoVBCSi2Oy5fveGbL79msyvJx1NOn78gH00w3m/MqVBWbi4WS5wkjMdjwkAxHk+wQrJcrcEYZrMjsjQl9PM7EkHb1GyXDyzvb2nKLWmaksxmNJ2B7Z5oNGV69gyDZFeUDAZDxoPMmUurAG1c5zKJ/O+keELLk2jjrnHT0RA5cUp/WmvapkZ3LVEgyeOYzXLJdjEnjEJmsyknFyek+QArlBMVW8xpy4LWRBDAaDIjywe0dcnXn/+a9fweIQwI5UC8NKbeFWgvNS89wt8Ue7aLB6xunXq2FK4T5M+QlGC1u5YI4ZRlAbrO0GBR0qA7i1TuemGMpOucImjbNDR1hTUdx8dHnJ9fcHRyjBSCpm1dodg06LZ1BWDbUBYFD/MlX379ll//9hvmqwKL4KOPPuDFs3MPerbUlUP1V8sHbq+vaZqa0XjKyek5s5NzL1IWutxAa+r9lk7lhMkE7T3RAN9N9uv+HSVit857oR9hOzAdxrbodo9u9k5tdeMSvn1REgQhJ5MZ0+MTsuGEIIwwSAeg1T+sEPjHeLTrb52oD9ADSNIXh1I6CpuUwqvs2kegyDOspFSoIHR5jDWOOoEllDlBGNHJlLKBXdHSiIx8OCbITxFhjIhGSBW7buR7VHd3vNuAeKd16F+vfXLf7xR+33mcPTz8h2rOd0pL+85P79xLCEsoDEEvcBNGJKFCBY5NotuG68tr/uFXn2OE4q/+6q85PjvFYB/9oo1Bdy1tXVMXBVWxpy5r1wTwNmU31zcYbbzwlXAejkq4uXCrSZSi2G9487uvuLy65uLigucvXtJpw10Nk9kxXTZhtV5zfn5BmiYM8pyual2hNw45PT1mOMw8E8yg8IxAoVlttoRh7M5dFKGNK3wiJRkNByRZwnqz4+3lFUEQ8OzZM87PTlBKUdclq/Wat2/fstvsCJMYNcg4ysckgwld2/LtF79mffeWVLpmh1LSdTh9PtKPdSgLgYC23Ll8DTjwUJ+eO+vmCMMw4PzsjDw6RlowXYPuWrabNbv1kjgMGY0GTMZjpBSUxY5iu6FrWtI0ZXr0gpOTU8LUzSqbJ/oRbVVQ7raUqwWrxYqryzu+eX3LctdQd3B6fsZHH32AlM5/UjcO/F/eX7HdblBKcXp+wXR2wvjomCRO6HXYtdGUZUEUN6g4dZ+D/wysBywfl+Pj+xdYZ/kmHFirhHm8o3Hziav5A3fX12y3G6SUHB2fMDs7YzSeoqIIrMW0HU3zX1IsmuYdRLq/FLmiti/Y/NsVHjVCeOEDMHRgG+hKhA2gC3ANU5ecaJ8o11VFqzUqiIiTnCAZEGVjsnxMlGRo69B8dzF0FgFu8NPLl/cGlzg6k7W+C4D0fHp7sLJ4B0cyT3/uLzy+cOyvPdZ4Pv4hXGC9RYEQEiuUL1qfdAfwrWPTgW6RuiIJBLFVGK0pdgU3N66FHQYBP/3pTzh7/oLhZPTY9fTrwVpL07aUVcWuKCnKirKsWa03BOEdq11JW5VE4xFJHBJHISqUKGvY7dbcXb2hKXbMjo9IByMMkm5XIFXAeDLj9OI5aerm8dwwiCRJEvZFxdurO8bDnPPj0UHswBjtLCOMZb7Y8O2rS7R13oRISJKYyXhAoJyKXtd1FEVFWZasVitefWMJMAShciqowwHrXUPXaWIhsdYQRQFxHFLtt1y9+pZmv3UoC4IoDEniiLZtnA1G29F2Go0AYb2psjkkTdZD7dZl8FitKXcuQIi6oAkNMvRnTzjKQNN27PaGqtqDMUgJWRoxHI0YDHNGowFhoNC6oycbd0aju46u66jLgvnDnJubO95c3fLl12+4m6+om5bpZMYHH74gDAPapnJG97u9t9zQZFnKYDBgPB6SpKkTskH4oOU6L2VZ0HqFLFfS+D3BIzX80IN3oPBBrVFJ4xFk7bn3HaatKIsdu43z6ozTjFE+ZjAak2QZUgWHIqHz1No/tUNJ7YsxlxCIPgaA346+E+vFMQ6Ueb/W8LMM1ro5ZHfBM1gjCOsNkdxiGs1+uaZtG7ooJcqGBFFOkE9JJs9Ip88R0YDGKjq/bkUflw4BwX+x4t041ifR9OvhkZT/VMXUSn+bdVQogXXJH54t4hOinuKHNS5R0N5KRQUIpQ7FaJ9cCWsIhCZU+Hm8CN3V7Lcbbt684e3rN1RNy/TklNPnHzI9e4YMnU8g1iHtq9WazW5HmqbEUezo0NsdTdPR3TrBmEE+ZDIZe+8/dy0yumOzWnB/e4WuCvLBkNFkQhCGrNdrgrrj5PSMixcvCePYgZPWkCQpaZKAUNw9LDk/mXF8NCWKY5QMwO8rKWG/L7m9cabFo2FO7GNQUym6pnaAjHK0464zFOWW1WrFmzevvdJhTJoPqKoa3TZoK9FdR5Q4Ou1qteTNq1d0bUuiApCKIHDWSU3doDsn7SKF2/ddU1PutkgMQfA4miGeqIr3szVutMOiO0Mj3PpUyoldic7SSYdOG6Od+EPXMcxTzp+9YDabEkaJm73uGoewa33wd7T0KrFzvv32Lb/93bdc3c7ZlzWjYcZnn31CFIXUdUXXVmzWS+b3N6xXC6QKePbynOOTM5+UpljhinBtKppiy361QOWSaGQf837Boav42FnkAJyIfgdYDV2DpaDrduhqS1c7u4/ddkfbtWR5TjackI0mJNkAPOVMeEZP1/5wAvXHeNRVfWDPgAPfA6UgkIhAPKpqP03KPSjkfh94IF/6sURX5ASi8bPLmqIs2N/PqbRE7AeE6RhUTDp9QTZ5hlWJK1KsxalaSa/87tQfhXQ0Put6xYfrj8sze3kp+ZhAP+JoPE5o93VfPzvZU+z79+SLkh5kfXL07ZHDBYC+w2CRaKRtsW2JEK5Dj3UqwNevr/j7X/4GI0L+m7/5Sz76+BO0Cn3McbHYUT0dcFLu95RFSd00tE3LarXi8m7F9c09w7PnBCpAKomSXlhF13TlntX9Da9ffct2veLjTz/h5QcvqVvN7d0Dw+OXnL38kEaGTGZThoMhSjphrfnDiv/wH/4TP/nsnJcvXxCETthF+hm5QApW6x03N3dkgyGD4dDpMHj2URq7ub8oEDQC2mXLm7eXfPHlNxzNxoyGQ+q6pij2NHWNlIrcWIJEIIIUGcSU+w1X334JbUEaKkojiKLQzfh5Nk3PGpQShHbnqi/iH9cth/PYNTXb5ZL9fEEoDHYYMho4O7I4ClDCulGftgHTslnNMZ0bYZJYZ68xmzGeTgmCkAOQrh0boq5rqt2O3XbDbr3h7mHF16/vuH1YU9QajeXlBy+YTsZ0bU1dluzXC1aLBW1Tkuc5w8mR88vMBqggeFyf1o1UlWUBWU3q2ROHsZTfu5PdvZSwBOiD/RdG02rjZsEfHpjf39NUFVmWM57NODo6Js2H3sqDQ3OkKosfjBs/WCxq3Rw2WJ8w9Vvv0GETPfLEAVm31l3YegqrizsuCLghaBeIJKC0Ruka3bYILdF6g6gi2iJDNxNsmnkUs3ZiMUIhVOCpYgohQ4dyqcB1IwNHdVUyABG6Lqbw3Ref/R1e5+E0yAPv3hUb2lP3+qRQH8KHsW7+yKJcl1SEXmwmeFJAWnoiEF3jvE+Mm5PYbTbc3s55WDj/nOcffsTo6Jg4zb1MLoersPGKcV2rqeqGum7ofGev2BesQ0cVENYZ3SdxRBAohIC2qnm4uWL9cMd4PCLPB4Rxxr6oqCo3G/Ls5UeMp0dIIdyFUXeehhocfLK0tUzGI09jEFitEUJQVhW/+fwrvvz6FXWjeZgvWG92RHFEFCqSNPbD2xKRxaRJRKCEM65erpBSMB6NmR2fEqQ1y9K6Gac0IffSyovtA/vdlsPsgHTzg3maUkmQsnAJufUXEBmhwhQhAox9pGU+nfkyxpnbd21N5OcZlRL+fAuMtmA7mqpk39ToriHLEmaTC8aTMWmWHAbVe2DEaEPXdjT+ArBaLLi9veHhYcF2s2O/31NVNdYYTo6PmU7HDllsWrbbHevVGqxhMBwyGo0YjpzfItIJ5PRImzWaYr9jOZ8jM8HY0wbpee19t/0Jwv4oteTgG0e1bUHXdLpE11vqcktVuFms0XRGNpwS5WOCKPZddPf+6rphv9+zXW9/MKj8MR5NtaOHgvoisadxSv+ZaulEM/p1ZE2fPPiyvS8iwc2S9uCT1CilCWWLpAZTI4xBtBrMFmu2yFCT5BJBTldpbNNgzWPH2wlO9LFTehq/n688+Gv6mIM6dF7czLgTBkGFCLw9C5q2qxC6I4xjhJRIbcC2IHDWPTgKdtM06EZjUYh4QJCkHnfz+9JaFBrVlZhyQbW9x1QrqrJgOX/g/vYeoULOX3zIaHbK+OSCMM298q+Lr21dsV7NeVisyNKMOIq4vr7m5vqGKElIkhQVhpydnZEPsgMly1rNfr9hs14AhtFkwnA4JEoz5+1V1kRpxsnZBaPpzM3gCIHWrWdJaO+D+ID+8cdk+YA4TlFB6ObjEOjO8tVXr3j1+i1CKNK0cdRX4ZFnjKfxgowSjs9OSZOY+fyBm6tLtDa8+PAjnn/4MdtdwbL6mmavwRjCwM28rlcLdusVgYIQ5TuBkq7TNG3rKWJu7WGdwrIxhsB3gtwtnmrv6THO8LnFmA5tO1opkDhbIGPAKkfn75Vku67DWsNwkPPs4oyT4xlhGPprjsaYzusP9P+cz+7t7R2vX19yd79kvd1TN44ZM5tOOTs7oa5LdFez3axYLO5p65rBaMrJ6RmT2YwozryPmqeL+s7LdjVneX/DUCTEWjsla7/e+hfRE4b6wvWwf61BmgZhCky3xtRrunJDW5fUVYUQMJpMyUczwnRAEMdI6TrMzvrE+chVVfm/cuT5//7RNI3zMu1daoQgCA0QeGCQQz53YBZYF0fcf97GQBh0pyk9mBEGhtQ6sMj68RhpDdJ2iGaF1gYja8KoQgQJdbmjrSqMaR4LfakcQKpi3wSIPADgi0khESpEKoWQCSIIXAwU8iB+dMDXEC5HtDiArm1JkgQZePCirgmiBBUlOCxGoMLYM354Uo08Qm/CGpTo3NrSjQOLjaGtWl5985ovv/iafDDk089+xOjoGG01QsZudMd4a51OO4/CsqSpnP+0lJLQe//VdYU2msFgQJ5nhGGIANq6otvcs76/Znv5NVIKfvqLP+Pk5IhqX/Dm6g4VpTx7/gHJYIwyhjSJSeKYpm6RUlDsC/bbHX/zL35GkiaA9SJ3jnGnu47f/vZ33N0tHHDZtMRSHDQbALq2Zb/ZEUWKP/+zn/Gzn/2UN6/fcH17AwI+ePmCNIkpq4KHhxUyDOjyKVE6QsiQ/WbN+uGWQECkBAUQJTFxFNM2JQeWnxRgBcIKbyXnmz/Igw6DENaJOAbK5Zjjsc+1C1bLBRurHWVYSZJQEYYh0rixLmE1URSS5TnT2YzReIwKQrd+jNfE6FraunTeiWvnM313fcu3b+55fT2nbDo6A1ke8tlnHzvgcrdju15TbFxeN5rOmB0dkQ2d1RN9rXEAmd24QLnfEWR7rJkdVp1rftFDJe5xTxpKDl6xvgXnCvq2qdhsd6znd6w3G4SF2ckJ09mMwXhMHCf+NVgHBLcNVVlS7PY/GDf+gAb+I7LyZN/4F+mCsrFPEyUnkmF8d6fvMPaPdwmtRHgaQxAGWAkKQRS4i7hUoKRBBS2prEiEQDdrms0CbRo/dO0Ksz5BcvMWCikjRBAhVYRQEYjIGdv7pOpRtth3SKX0v/cBB9zAtzVY6aXwrTnQB1xHVLl/QmGIsDJCRgkqyhGRKxaFeDRzF7pBtiVduaNYP3B3c8emqMlHE86fP2M4mWKEQuNm3lxB6kQVtHYeYVVd0zQuYVBSEYQBURSSJgmBH6Qd5imhL3qwmv1+y2qxBAR5PkCqgLZtmS8W7IqK5x//mNnRKSoIMLqj6yxN09B6YYNexKFHZ6SSDtmyFq0tl1e3/P0/fM5ysyeMEoqipO12hGHIhx8+58WzM6JQYW1HFIUMcpfgLeZLvvziS7I851/+zb/k5PSY65sHbhZ79m1HnMRMJ2OyNGFuOjCaKIqRxiH3SgWoICAykeuiSoWldRtKKqI48d4yHnU0j6giPokwXQ2mJZCWMHQWEn03SfeIsm7QXUOgBIM8JcsSwsB1W7TusEIcKBNt19F2DXVVst1sWC7m7HY7VKAY5BlhECBw3dfnz89J4oiyLFiv1iyWS7Awm02YTqfkgwFhFHlLDHvoZBnt5O3n8wdub65Jp3Dc1KjoER0Wnpb9DoX6EGV8F8x0WFNQV2tMtaAtd2jdooKAyWTGYDgmTAdYFT3OtxmJ7lqKYsfD/T37PxBU/hiPsipc4BUcujOin+USws1UCIFRbl87y4Qe++vnJp6wFPqvAqzwlkJKEMYBCEMYhUShp36JGmW2hGYFTUG7nLNf+1kO8eT80pvrSi880Yvx+PlIP5fWz1y6otYxOCwSEcQEcYYKE3TX0GyWmLZCZM6qp65LurZCSkEUJygVYQHdtNRVR0NCMn1GEJ2hvaE6FhSG0NbYesX+4Q31/DVdvaWuG3ZFSZykzE5G5MMJQTokiByQZL2WmdEdWrdgNFI4efGmsdRVibGawSDnxcsPGU8mjEYjr9QJ2I62athvVygJx6dnpIFDo5umdbY2yxUf//in5KOxQ6qFPNDn6rJmt9uzLwrAcnp2ymAwJIiCd7oqNzd3/OY3X1DVHVEcuJlsnwwLa5iMxmRJghQwHA754KOPmE6mfPvVl9w/3DPIhvyzf/E3vPz0R1zf3PL6fsnt5p48dDFMGM1us8HoljSJiSxINK3WtK1Gd8bTUK277Bm3qcMwcomkBzB62mx/hTO6o6srTNugpUYrhVEGo3s66yNKb71F0zDPuTg7ZTadEkWhT9x6kMm6mW/jQMy2abm/u+P2+hprNNPJkOEgQ8kFWRLz7OKULE0oyx2b1ZzVck4YBJw/e85kNiPPR853DutoW5328+eati6Z317zcP0WggHpaYmV3mC632v9PyF8Dd1XCiDQ0FWYdkvXLKHaUJc7dNcRBDGD4YR0PCNKhxifvGntuuhGa9rGjQYUxQ+j7X+MR9MYtLE+d3OMLYTEhP3FwovB9eCDxRfRls5YRGtQrfHP1VCUDV3XEccRVkhSn4vGUUBoIY1DAiVp2xalC2x5D1LQ7de0ZYE23SOo24NzUvnr2Peob0uFVAolY4TvwuP7ycZXitrgvFSzEUEQUayWbLY70vNnZKMZu4cbNvNbRkenDE8uuH9Yow2cvPgRje4oSkMQp1gZIrxolLQOGJRopOkIhIbOsN6s+Przr7i5ueP8xQd8+qNPQcBmtyHWmiTK/Jy6dWu8cyJyTV1jrCVUAXGSECQpz15+wPHLkJPlhqOLF6RZipJO2bNrO9rNmmq35eTijBcfvCCMQ1YPc65eveV21/Hzf/Yp4+kM3b9efy1ompqyKNlvtpxfnPHxxx86ppifVzVa0zUtb16/5j/+p1/SdQZo2O92ZIOcOI4dZfz8iA8+eEFV7mibmmcXzmd1mKfc39+RJhH/4l/8FSfHx6zXK/7T3/6aza6gHh87irmQ7Ldb6t2WOHAiSsZYotA1OrrmkQ8j/XiXFM4+SXrV+O90gY2hLvbsVktkVZElIXk2cPPoCqR184ZdXdE2DbZzdUQUKuIkZjgeMxgNDxYffb6lW0fHL3db1qslN2/fcnl1zWKxYbkuAUkau1ncTz95yfnZEfvthv12TbXfIaRkOpkxOT0hz3OkCl1kto+WS8Y69dm6KJjf3VB1isHkxDEclDoUdT1D6N0+oz0UitJq0DV1XVBsH1iu1zRVQZbljMYTRpMJaZa5jqYUWOObHI3LW/f7Hfv9f0FnMfDG8H1HTnjxA5dEPUnA4ZCYa92hfeXeyzHbvn0v/MVOCaJIEcURQggS7QqWHlkCiQpC8jwhSVO6Zk8lte9Y9h2SPqD5ylsLJ5LTyEMnESu8cpqrv9+teKUvXp3YBLJXajU+HrnEy3qOl0X4WcsIZIQRIZ0JaWyACDOivCXCouIMpFsUEtcetm3JdjFnfX9DWdacnJxz9OzlwU+n2O9pjSAbTQhV6GR2O03btTRN4xFft/GVCpCyJVCKNE0ZRA61ypLYKVwKkBaEsSRJQhoIwjimqmvmizVffv2GfDRmMBj4hEtjdEfT1FRlSd3UfgNq4ihkNhkThZFDW9sGrTWL1Yb/+Lf/wLdvbkAGhFFE0zY0RY1UiuPjYz7+5BPSxM0DKiUIAoWSkixLWC0fGI5GnF+ckmQDjjpLHIesij3DYc7saEKWxgRKEiUxo/GYtti44edW03aOghJFMVEUIcsajEUEkjhO3MXvyXxX/60UwqHsTYFuS7Rs6GpJa1yxiHXrF9OhJAzylNEoZzqbkCQxvU+OAwPwFAVNU7ugulrMWS2XFEVBnmbMpgnjseb11S1XN/dEScyzi3MEsFpvmC/mdG3H0dGM4+NjMo8iIgRW28OMpTEtTVOxXq54++Yt97c3DLWi2m/Jsqm7VvJkb/Zdf6xDDLEI68QMOl3Qlkva3T2mWhMqSZpn5OMpWT5ydgEypNc9E8J1T7U2FLsd2/XqT5KGmqUx0H9+ns4nHtkIAuHBCremddeifScGfAx80uXgcA4ESOHEDbDESUwQerAsCBxdTigCBUporK3oyjn19sHRqeXj+Xw8r+7oS1P7JBYK2ad7j8me1u7iJFVAlAyIktwlxPsdGI3VQ0QYYpsK3dQQBKAzRJw4b9K2I6hqykaiQ0UwGSNFRmct0hqH3NIi2j3l5oFiPQfbIlTIYDgiTnOSLMdYSdM0yKBGBQbjuxAIiMKA2XTqjZEF2hiG4zFCBZycnXF2fuaMk5V0yZPR6FbTNSVKGobDgSu+rcY0NYuHaz7/7eeE6YB8NAYpPZps0cJSVhWLxYKubVFScHZyxMX5qaeSun3X1A2r5Ya//+U/sFhtyPKhsyvShnJTApaf/vhT/uIvfs4gzzHGECcJeZ6jpES+eUunLdOjI04uLgjiBBVE7tokFKPRmHzgZqv3ux0WyAcDVCtoyx1123nQzsUaay0Sd02SMiRJU6Io8GMST7ogUoAxdE1JU+6cJ1hg/BoJfCx0Xet+NlVKQRjETKcjxpPRoaNotFNq1h4EPnRj9wV3t7fc3tyQZRnPnj9HW8Gu7Lj3NiXnp0c0dcmybii2KwZ5zvHJCdOjE+I0R8gAY5xBdNe2TizHz4CW2y3zmxtW9/fIeMzw+YowHCBVeDCptv0u6FEH688d2nXIuwrb7OmqHW25R3eGKB2QjY9IR1OCJHfXdO3GB7R25urOK3LPZr2mqv/0aKhRnLrzaZ35RW8XFUUhQRg5wgIuF7IeGDNWoK1L7OWBMSZAOBEgiyBQAUkce4q4os1iLDDIY5QQ1NLjWmikkU78z7QeoHeFqzuNAmm6Q8xzhz28fiEEphMg9hwSaWs9C8c6cExbRKCQ7YggzbH7NbYoCXXCQEUsuwfM/hKZa1Ji2L2mqRryD4/QxY7d7YrJ2QcE2YzO9M0Jg3SOnyjhlJ9vLi/58refU9Utf/6Lv+DZhx+6HGmxoNMQWeELL6ed0CfLboZXH0DuvosWhBEqzpkq57fYf8xSOqAxnU04Ph4wGyh01zG/uuTt6ytub5Y0gymD6TEqDGnrGmcNFoAxbNYb30FWzGYTRuOxO7fGYLVjLN3d3PLF51+w3RVMplPW+4rdfk9nNLPZhPOzc/7yr3/O82fPAKciHXixQysEg8GQ4+MThqORmzlnxHh6xK7WhNmIKM2xWOrSMcIGgxxpNMbsXBHjAXgHUD2OvrnXHR6KxX6kiB6w7zr2mw2L+xvM8q0TLoycEFkaB6Re1V5YLwpoNEoqwiB0iqmDgfeYdM/taMKuiNptViwe7ri9umaz3TE7OuL5yw/YbAtevbrk6n5D02r+7M9+QhwIytLRb1UQMJ5MODlxCrlK9orffsbfjxX1DIb5w5zX336LulmRT045Oj1HxNmTXfvIgzzsCM/MEXTYtqQq1jT7Fc1+iQAmR8cMxxOyLCOIIj9a8qTJ4WfNd9sdu+2e8g+wKH6wWHRU03dpbgI/BO3tMXrkXfgNq7VLojrvedJL8lsvEtPPGUoVEAShn4MzGBP0kQBrBSoIiOOIJE0ok9j7j4gD+tSj2v1mch+ixRGc3SCwg8VdkOllYS14BTseaXv0lK6eciuwUj3xVen/kCsWZZiAjOmMomkEVu3QnUaIABVETmrYGJTQSFqavZuRC4OA008umJ6/RMS58w1bbbi9eyDOh4yPU5dMakMQtHRdRyADnEx4AKJCFjW6c8qoArypulM/DZV0NCssURwxGuaY1s1Jrtcbvv7mLdfX93yY5t5Lr0YKQVVXNI2j5uRpzNnJEWkcMvTzc0opbxrrbDuuru/47RdfU3ea0XhIlmeYrSHOEj755GM+/ORjBpMRSeQKRKX87JxSRGnGR7sdTVP7rpVxMvVeAv/k5ITJcOSCgxDkeUYqjljdNVT7HXVTU+xLZyRvXZLTd7hlEJJkOb2BXT/LdTCqNwbd1TTVHtuWaFHRlgbZyYM6qJIQRA4xGgxzxuORK+J899GZpVoQ8oAQrhcL7m5v2K5WWGA4GnJ0dESSpixWO5IkJghDsjRlMMhpfNEdhiGTyZjT01MnPuQ55O4iog/dxLIq2G02XF9dOTPzYofaOepoZgz0n6+Uj+DIoYNuPNWho2t3NMUcvbuHdksSKUbjCYPxmCgburWr3OOFxc2mekSz2O9Zr1YU+10/OvAndbiLFb672HfzXGyznqqjpHSzuX5e0YoO3X8YPiAd5mLcMxxEubR2cUQpH/vCwM9GgJIBUZIRxrGjellDp2v/dxyDQkl5MFx3M5KP9hr937LWYto+XrlC3/hi0VqN6BSIDilaQBDIFqkEgez8/VukdBQzQ4s1CpQkDCxxpNlXJW0xxzY7RzUzrlMvhEWJDmFbjG4RUpJlvkMtAlQQ0nWa1WqFkCFJ6nzDXDLj1GFVksDUEscRVd1QVA1ZntNq7Wbi7h9o2448y8jzlEBGICWBkqgkQQpn/IFuKOsNV5eXXF/f8MFnPyYdDAA3VqFbTdM07PYFgZT887/+S+7v7hjmKUkc0bW1p38b9vuC6+trLq9uiOOUMJIUZU1V12ht+fGPPuN/96/+B56/eA5CoKRysdI6utnFBx/xk1/8JafnF8g4pWoc9TyOY549f85Hn33KYDTA4pSTwygmj8c068apwjbdYd0Y4wQPpE8QlFKMRkPiOH5Uz8Vf03rBqs2WYrOiqwrCWGJD4TlMPbDU/xMooRgOcsajEWEYYD1wZrWbe+w6faBlrdZbbq9v2azXTCYjTo4dcl6UDWkaEwaSMI6QEna7LUEA48mMk9MT8sGQOEkRSqGNoWlqVyC2DV1TU1eVM61+mLN6WFDuS3bbraNojd9VYe6LBPeDPTBHsC2YGtuVdE0JdY2VEdnRiHw8IU6HqCjFIuh059WxG9eJbRrKsub+fs7N3T1hGP9XjjT/2x9ZljmRMtvP9lmUkoSBQknlQWRP5bTmAEY5nQrl7xsi/f27ztK2kizPyPOcOFJY6+y7jHUCSlI4wFgqRRK6fK5pIqpSYcyT8+pRACP81BIe6X0qSepZao65Kp68Vv9Av2fQBt00tEL4UaCGttqiywSpS2cVogvoNgR2S0xL0N4TtluK+69QFJy8/Ck2mGGso2oqAQqNMIbVwwNff/kVSZrwz//7/57pbMa+rFgtFzRlSTI6JkoyjLW0XYeUEqkCstGQMAqIkpRyu6IsK/TOUrUtRVmjO0nddkRdRxC5HDkMA9JQkSdjlKnpigUPNzfcvbrk4X7FelsT5TOCOPX7qnFxQkj2+z3lfsePPvuY19+8AiAIHUjnlN4LlouFp9JbxhM3v7vcXdIZl09/+PHH/OIXv+B45izQpAgci0s4RdGf/PTnfPjxp0RhSBRHBy/wfDghmG+IhhPiJHMdf6uZjkc8yyMe7m7R1o099PngI3DwqAIaeYVqp0Qu3GirD2BSBMyOZmQ//SmxPkehsV2Jblq6eo9uarq2QWAO6zCKQgaDnNFoRBR5pV7jLNR021IVOzbrBYuHexaLOVJJfvTznzObTRFS8XA3Zz5fECy2KBUxHg7AaqzuiOOY0WjIdDYjTlO/kN367UECo93f6dqO5WLJb37zO96+uSIfN6wWc0aTCWGcHfanh37d8/QMJmtBt3RtiShXdMUK0xTEWeb0JjxLTfagN4/FcNs0lPuC3WbLZrVmv9tTVvUPxo0fnll0QyWOFuB3qaNkuYBxKBTFY1HVLzhXXOjDh9MnUkin3NNTHaUKQHqPRlzwF9IVi2EUE8cJcZI6vyPbcujyHTRnXCA5dDp5LCgf0zY3f2g87cYIX9379yf8xfYwE2Sd+IPxCFA/n2SFRMga2bUI1dBpSddAawOaRiNURJS6Kh4EgTXQ1HTVnmww4PzkBZPjU7SK2ewq1qsNby+v2RQ1n5w+YzAaYS3IwKKCgEB3j4iEdD5tu33lBBiUous6VNsig8BZI6jAFWcWNysgoO1atpsND4sVu+2WKA4ZDAa0bcNuu6FpapqmJooTEo+KR3HGfz6eMhnl5HmCDBRYl+TGKkQbKApnIJulKWEQIoKADy4u+Jd/898ynU64vbthOh5yNJ04y41AoYE4SPjwk8+4vb2halrCxJ3PME45Ps05PnHzPtZadFMRBgHJaEi1nlMXFt067zApLK0X2nFy8JYoSEjSIeCEclynx6M4OCTT6M7JhluNlBAoiCN5UBtT0hlup2niCtUsJQxDlHTJrXtaS6cb9rs9i/mch7tbyv2eOImYTd2Q9HA4RAjJelvR6UeyYtO0SBkyns6YHR8zGAzIvNecU2rtDpLLTVNRFE78ZrFYcn1zy2a3xyLQ1tB1Lb3wk3wC6PRruKeeWtOimz1tucKWawI6BsMBw1HOYDgiTFKvQKie4LcODTVaU9cly8Wcq6tLdtstafoU8frTOPa78tCN7TsuQgrXxfKfb6AU1giwhrqq0E2DsdpRni2+S+iLTE+DtvKRwu+SBXnoKgaBm3dWQUQ+npCPxhjtaNcIZ6HTx6g+Bsg+HgCip1g/iZ0HldM+tzIWKzXWBt5HsEfJBSIMEULQIZz1hIbOgtAa27R0xnVTgx4cFIZ6v6TZ3ZMGEmHd+w4CQUDjrDLSlCQ8ZTQaIcOYrmnYbXfc31zz8LDk+OyZi19hTNd1SOU+EwnEYYiJ3XtqO00YhCS+GweCrm1pmpo4ChBJjJISIQJHPzQttqvZb5Ys7m4pi4IsTTk6PiZJErqu8R2sGiGcEfXJ8SlxkvP1V1+z2y5o2tZ/jsZfniXaSppGA4pOG5rO0HaWs7Nz/uXf/Hecnj/jbr6kbRrOzi4YxjmhcrH79PmHhGmG9MBjV9e0XcPs+Ijn4zOeffIJwyyjMYKuaQlU6Oa6dU9t76i9jLxbB97XDojiiMl0ShAEtPYRpHCdNseAqMsdTVW4eGcUEIB1lL2eaeEAMkkSBwyGuaOeGuOUnftCse1om4piX7BcLVkslnSd4ezsnNOzE6IwREhJtSm4vr1nvlyRDTR1UxMEAeenRxwdTYmTxCf5wsnQt05Yoa1r2rqiLnYUuw377Y7lw4LddutjoUP66WcV8YniE9aS8MCutAZhW2hLdLNHdg1pmpGNJqTDKSpJ3MxuP4vbeY9b3R0K1s16zbffvOJ+ueT09Ox/vaDzv9Gx3pYelPKfpRREUeBjntPWduIe7rqqtTnYrVgDJgCLRmrrBM9aTdtp6rql6q2gOjf3p7Wma7VTMNeGIIxJkowwjNw1tCgQXXMAIPvrz6E0FH0+d/iFi6P9iIC/QVrcnHggXMfGOoVXpdwsrMCipKAudiysodhvnAr5es2dtOy2K7qm5ebb37LdOYbEbrehq/dMXvwlQZyjgsjnVx1dV9N0LR9+9hkffPgSEccURUWxXjG/vaNrWmbZFBVGWKl8B9ddF5QQhFFMEKdkWcZmvaYsKmpbIwJXYAupPHDprkGhEkQKgqaj3q4pbq+4ffOW9XJP0xm0DCAIaY1BVBVVWWF1SyMEWje8fHFBmqb8P/7N/x1jNGEc+cLMaWAkiRs7WG2cdsFut2e32yNVwOmzZ/zoZz8jHQ7YlTWJDggD5cZrlECqgHwwIs28YJ5xnfpOt2yrBo27XcUxUlh0VzMe5RwdT7i7nzvWBMLRPpuGru0Oa8BaV38kSXqwbLPCrVHhY4DpDNv5nNe//iV6d8sgCckSRRzHRIHL/V1JIAkDSRwGjIZDJrOpK+aEo2V2uqOrS4pix2YxZ7lcUBV78uGIs9Mz0tEY4RkqnTFs9wX3ixVNY1jMl7x8/pwsz8mzlNHINTz60Td8N894cMp1LmvWyxX/8Ovf8tvPf+dEHqPQzVX667wx9iA+1FfOxqMjxhjayulOyGaHwjAcDchHA1eYB+qQG7iHOHZI17SURcF2s2a1XLHe7NjudlR/QPn5B4vFLBt4JNx1fZRSKOHRXM837kUVnIeSo3B0sqUVAW3Xoo1Gyr6zaB0yFThfHmcR50wk+yEKrS3WOEQkiiKSJCNNHT3Pdj3NpI8OHlUSvngU0ufJvjvSdxyFdJLKvlgUwmDRXsykX5Z90fv4/gUOxfW66f75DNJopHTS04HAUVeqLfV+ha4nqCxFCIXE0aSEgKPTU45OZ6gwYruvmd/d8frNFcv1jtHxGaPJDDzttUd7+24B9NdJp9o0mkzJ8pzYzytGUUSWJo42jKVraorNkt16SV2WlFWNMYbZbEqcD3n2/Jyuq7m7XbNabRiNRpwPhmR5TpQkTOLMeTHGIbFvXxspnd2JhdVm52aRspAgUNRNTVlWzI6OuXj+gtVyxf/1X/9bojDgn/3iz7i4OGU8HjkU3RqQzjZltd0iw4iq1ggV8OLZC2aTEaHEycyvllS7PcNR7jqoCF8kG9quptWG2qPv2giiJCEbZEhpkdL4s+r9ag7Rx6lb9Z+zVM6/KI6cDL8QDmWNwsB7sDlkD+u6bNYYurZmt3do3Hq1AQSnZ2eMx2PSPHOvVUmM4WB70r/nsqoIk5g0GZMkkTuHuC5R2xp/8W0o9zu22w3b7cb5y+0L2tZdiKV0QUBb64tFl8wrt2D9kvb0LNti2wLTbJFdRRoHDNIZeZ64mc/Iqa0K289H+pjUc9rbhu16zZs3b3jz+g1aa45mf3qtxfH0/GDu3oejnoIKrmiKYgccGN2htkuacoM1+hDYeyGcRyU3nxwo703mWQBBEBIE4ePPUUI2nJJlQ7CawXBE4Ocb+vlEN+MYEoZOifBw4XSv2L+LPpn2ZYN1A+zaUxidJ6RyBSNP3qtSBxCkf8turkFjhQbvrRYoxXZfsF/du/mOwBVsSiqEp26ngzGhHJEPcqwxbMqSxf0dl28vKeuO0xcfEUSJj9WPaimOfuSVZXEIbK9YOp3OmEwmRGEI1s1t958vugVd0u7XrB5uWdzfYozl+GhKNh7x/IPnWKvZbfZUZUkcR26GYzw+SLV32gl0Of9Qr6QsFW3TcX19x9390vlhCkXTarRx4iiT2RFvr275P/6P/yN3t7f84i/+nL/+q7/m2fMLkjhCNxVWu6Jkt1mx3265urxivd6RTy5I4pg4CtBVS7FZUW5WCOUKWmtdwdzv/brtUEGAClzyFEUxo8kUFQS0nX4icuOSf2d/AGEgUKEkCh0gFoaKKJQEgQPKlPdvS7OELE0dIGKNV8hzLKGyrFkuF6zXrihOk5TZ0TGj8YigT57ajvl8xd39grpuEaoGIZlMJ06JO4l9TDR0XXOwHWmq2omJ7bbsNmu26zX7bUmxdcmLU7nuVWnVYY/2a/fp4aAe7czF2wrbtURxwmA8IB1NkJFD+a3uXJHYtdjOj810jRe0qXmYL/nm9SXbfUk+GP/XDDP/P3HMZkcAXjjNelqzM30PQpfXWQNaaBAaIQxC9CroxnekXCLbdm4+sNOCqu6oqvZAUw3CCOhoO4ORFpBEcUKaDYjjBItmu9lR1ZUXEYTHytB3wMUT4Tb4bnwVB/zA22i49aL6++IspoQKiSIHpDVNA0ISJylSKbrWEoYpkoCmbhFWMBmN6Kyk3d2zuv4do+kpg+mFj8sdKpBcfPgRkdJo3dLu97RVzerhgcX9A3VZIwbHDCfHLlb274OegeeAQOnnFbPBgHg4ZjCesK0NyjrqZd9VDKSAtqRYzlnfvmVzc0W136OCgCQNIU9IxiPmiznhvmS33SBMx/HxjPOLU0bTmRsBkG6mW4URpmtdHMbNwV9f33B5dUOtAxpvSZbmOR9/8inHp6es1xv+7b/5vzGbjLi4OONoMmY0zB2DzVrq/c4BgEIglaSqS9bbChFmxFnuP+uK+7sbmrIgis6om9bnGc7eYrtaU+wLbKcPKrNSSpIsxyI9Fd8l88b4mT0Btm0wTUWIRRgHUAhrsIGbTYzCgCgMSKKQ4SBnMp2SZLnzALWgdUtVllSbFYvlnP1mg8FyfHbO9OSULM3obF/ndDRNx35fsdmX7IqGm5s7/sW/yBgNQ1d4B4+llRPN7JVVW+qyZLNacXd7x83NPW/eXIK1DAcZR7MxmVegR3jZGp+LgS+qjWO4ma5D1gWyq4kUDAdDBnlKEIcHarPrGZhHwZ6moSpK9lvXUVyv1tzNV6w2mz9oifbDM4ueLiC9EXsQKALlUIUg8N1FL+VtzRMkUnd+xsJ4Gqr26IE5VMeu+JQEQvr2svQqVK33XQmIoow4zsjyEUmSo9vaJ8BOXMJYHotEniZq6tAV6APLQXoZRwmTXT+H0QsDuE7AYdYH3N8wPEHhnKCBkRohOkfDMsKrXBnKzZJmfIQYjZx6U1dh2ookichyh45vNztevb7my69esd2XhOmA4WhMGMUuEPtgYsyj6XzTtlR1w74oibMBp6dn5HlOzz4KvRKUkqCbit38jofrS5pi57tkEUEcEyQZ+XBCniWsFnPuH+aEUcJo/JLhaEQUxwjhkz+gqkrarkGKgLquqKuaXVHx9bevKcqafBSigoD1ak1RVuTDAelgwNvLG/72737FZr3h8y++5PTkiKPjCf/sF3/Gjz77BGM6JxLRbtFWsS9btIHzszPSJEZgKHdbXn3zDa++/RZ9esR+X6CNPYhTbHclZd1Qtw71RITk4xFJnmLpEFZ5Spb2Q9EGbIduK1fAW+3Bi8fkSnnaixCuuxjFIWHonkd33jC2rtltt2w3W4qyJE1iRuNThiM35wPWI2tOnGK73VPXjaN6SUEYhWRZRpLERGHo/dzcHqkOz71mu1lR7d3wfxTFTKOIuqrZbPb+Au5ejysePdoqnZqu6btLaKxpsV1JYFuyLGCYxiSJK/Id2OMLDF8oGi98oLWmqSp22zVXl2+5fPOW+/sFQaAYDoc/GFT+GI/RZHb4Xvj10JM/hJCEYUicOaVMrTviJKfazbG69VRoQa+G3M9yS2/pI/qCygt8qUChpBs0l1IShglRlBCoECVD0jj1gggulkkpCWRIIBUS5RUtD1wPh4z2idITiN4VYPLQcXLgk+wZe/QJmTU9KOUUpq01YEAbJzZiQ0sYOQEdrUt2mweCKCBOc8LEdf6kt2cIogQlLFpDtd8zv7/n7vaWzWYDKiYInBqc1n3H33qVTUfddP/cPIyxhjTJmEzGTCcTpBC07eNewnQ0uyXbm29Z3V1RlXvCOGU8PUaEESYMycdDHub3rBYLsixjPH5GluUEQeCMsY1mu9lSFhVtq92F3XQIGfD28o7ffP41m33ligapaDpnX2OFpDWWm7sHfvWrf2C7XrNeLPjiN7/l7PSUH//oYz79+EOSOKTziUhZlIAgzQZEiRfiAtqq5OH6LYu7K+pYEJjG0YeNoaxr9kVF3TTEUjkGjjWEUezYC97uxOIFIaxPkiWAKwIcTd11yqXqZ2+dx2IYSG9V5GZpBcKxGuqaoizZ7/bOoLsoiMKQ09OZty5xirht2/j5es1iuWa7L7wwl+VoOmE2nZDEEUJ64TbjbAOauqIsCordzikNbreU+z1t2yGUIowTVBghG680axzYzKG32o+i9PHLr2jdYXUDpiGJA0ajIdlwiIzTg3ejaVs3x9k1B7ujqioo9gV13bJcrlks1zSdv7b8iR0XF6eOoq6NHzUwSNw8dhAEfi7b50H2EbxxnYnHAtOJuzlad6c1cRiQ55kTbQLatqWuK+ehrFuUlAzyIVnqunR5bsjSNdvd2jG3+qKPvhh0tG4hH0W7nB+k6JEB/zh3/dT+tRnfaZdSHphqQiiCMEEoJwgWhjEi6+NzQBgqlIoQOEBuOEpcZ9RCXW8oFh1ZOkSpDEHn2RSKptzTNCV0mvV8yfXlDZv1FmMFnfYxlXeZc1prqrJ0Yiumc8wBIRlPZkRpRmgbEMrPtgcEUmK7hv3ilt3bbylXD+i2ZTgaQxBTG0k8OaEJc26vr1x63GlefnDO8+cXDCYuH3V21D4fN9C1mt1uz3o+Z7fd8cWXX1MUNVGeEiDd6MxgyHg8RamQoiz51//Tv0UpybPzM46nE46Pp/zZT3/EyekJ5W5N07R+ztrN6W9rTTZ4FFcp9ju+/t3n3H39W6apYbla0bYd+12BsJbNZkNZloTK5bTaGmQYkmYDzwb0rA+/BAwWYQxSScZHMybRkDSKULJzdYJukcISBYo4DMiylOFoSJblbl4evMDMnvVqyerhlqquyfIBRyenDpALQ3dN1Jq27ef9HOuj7bQfKQoYDAekiUAq5UF3v388YFuXTin/4faW5WoJFs7OT0mzDCm+pm41s8mQIAwOop1OwA63F42b8zfWYjvXoVRWu3GiJCPPAsIw6Pnbj/tUGz8P3tCUFUWxY7fdsllvuX9YcnV7z74sybIfZoz9YLFYVrXrLEqX8AS+9azDkMgEXlnHLQzbi9t0xhdhj7MzTnLZdyGFPdBXe2pVr3DZD7e2VhMEIUkUE0UJaZKTZSM3T4J+VCj9f3P3X82SbFl+J/bz7dpDx5GpM++9pbpLNNDT3QB6BiCUAU+cN5rRjN+S8zgvQxLEED1Eq+qqq1MfGTrCte+9+bC2x8niABcPNIDW5WZpmZZ58ogI97XXWn/VZz3Sb/Wd7tDRtdQn2328HpLt81MetjtiXuM72PthWOt0R9u2rti5j/U+0XF6TuPme/jaYJqSttxjm1JyC5sSZVvSOMD3NOVhz7t3N3z51ffsy5ZsNCLOMqI4kYG2L8xWROXHYbERLntelARxJoO1fTC88QOhFnVNTbVbcvfhLeVmyWSUMBgOqFtNXnUod9PvdzuquiFJYp6/eMXlo8fESXLc7jet5nA40FaKxWJBGods1htub+9YbQ7c3S04PZnz9OkjsuGIxXqLHwRk2VAGeBe/oTyoy5L1asXtzTVdVXE6n5GmInxvWs16s2O7K0QQPJsedVz5Ief196959+499eGA6Wps15ElKUkcstnnVHWL8RTGWPwoYjSeEAQhVhvwpRHttyqeZ4Wmtl2Rb9foMqe1Hk3t04WWzguwR21FQBiGostQym1lNGUhG7vicMAYw2Q8Zjydkg2GqEDMGkzXYl2TcTgU3C+W1HWN78EgSzmZz0iSiDAUdzSjDW3Xsttuub+/Y7PeUJQFntGCgrhmB09RljW390ta0wCWtqnxXJMoTo8POahgnFtjS+gZsjRgGIckseeWPA/NgMWAxi1r3OBaVaxXSxb3d9ze3LHb7SmrikGaEgQ/WDb+Xl6r+zuOzZH3oIfoaaVxHJMNK7LBEGsM+W5Nle9RnhajGufAK6ifNN3GGBngrUEbEMtv63TUHgphAlhjhJp0dM0VKoo1DpEMAnwV4Dv0ErdttLZfa9kj6g0968WZReDJgeOGXnV0kQY+HTQNjqnR65PE7bKpK7rYkHmi61A445TqQBQqlFH41nMLvA5MS9eUVG3FfrNmu1pgdEccxdggPj7fMpQZrHIotjM6aRox9Wqa3sQrIQgCMePwFGEQEMURceTT5mvu33/H3evfEiqPR89fMj45p8PnfrVChR5tp1luNoDl8vET5qdnRFEkjYbuaDsrmWBdwyE/EPhCMbZewG+++p6b+zXD0YzZ/ITdXoYZay1xnGC0xVc+cZyg04bRcITuOt68/h6rWy7PT4nCsXx8kpIMJ0zOfcrWkE5OjkYtRZGzuL9ju1lBGhIH/fLV0LayRKrqBs8Psak0AHGSkKbZQ4wE9sEMCff/XWyGUM1wWZlWkAXfI/AhcFv3wJdFQ9u1tE1DkRfsdjsOeY41lvPzc+bTCWmaoHzJQmzb7hgzUVUt682WupbIl/FoyLNnTxkMUjcoumVbU1HlOYfDjsNuR5EXdJ2Yho2mJxKR4gfke1nGlfX9MZLI9FmfnmsS3bNqndYJLLZtUbomjXwmw5jhKCUIg+NCwjj2k26F+tq1LYc8Z7NakecFngpFQ2bMcXj6fbuur++cttbQdXJPBL7vmEQJQdDHiH1K8wX6+0tBz3qyVpZiAaLHkwFPEDG/Pz8pMVoAgDhJxWzDD0nUgNFkzna3pKKmp5gGQUgUx4RhdPwcnlu89Qhjn/unO0GJ265FaekNgePSWzmX/U9BE2Ms1mvlmeg66rZ2tFmDUt2xJopBooexJZ1uME1OkPp4SBxaU+Z0dYXCUpYlH95/YLXc0BmLH8ZEcSyNe49TOCpg17YUuRiheFjyXOJmZnHssA8HoCjnVGs1+W7F4cMb6tWCSFnOnj5mMBxxOJRsy4ZsNKIqGpaLe6aTCa9eveDFj14ymo6Orv5tXVOVFYcg57Ddsduuef/6NWVZ0tQNh0PJ+cUl6XjOYrHC38qCvuk0ZVXi+z6DbMBut2Hj4r7ef/hAftjzr/7VvyCOU5QKabWm6TRV3VHUmqefPWY6m+JhKbdrVvd3XF9f8/0oYp/ndFpTVhUeQn8ty5JBmhJHIZ2B8XjK7PRcYns8p9Xv150OsVtv1nz7zTdkZs94NGQ4ELZdloQkUYgKA6I4ZjAYkqSZ+IrgobuG8nBgs7hls16B5/Ho8RNmZxdESQpIxnVP+2zqmvxwYL3ZUNYNyhMWy89//lPSJAJPOzxMfAK01rRFzmaz4f7mmvV6TRiEPHn2jPPzc9JsyLv377m++ogqJafUaEHZJTFCKKnW9WuOPHZUpqShxzCOSBNFED6YePaD4lFz3rTUVUVV5Oy3ImtaLDfcLzccDgVBFHJy+rAw/09dP2xw0w9O1kMd0S6D5xlHLdWuGDh4tu1odYvpNNp0GKOFYmT0A8XJQdRKiWOpb/3jwIhDS7SPCyOVxisIIuIkJa5SMTbhU1pVH1fhge2HuL7Re9BVSvbY/9dA2G/YVYAKQvmayulCLLIFdXbevRvd0eHQWrTx0NqjM1C3hqoLhJpJi28smAZPWUJf0ZQ52/Waq/cf8ZXHi+dPsH7AvnY+5u7Qs9hjkX7YYHTHWIumkay7sqocHSkhjkNa3wNdUazuKQ970kHK/GRGnMRstwd2eY3vKfwwJowTTs+HTE9OmUynDlGErhNzi6osORwO2CTksN9j2pjlYsnX33xPXjacn5/z2RdfMJpOuV9u0VqTZilJmtE2LWEQcnF2ThKE/NGvfsHZ2QnfffcNZVlS5AXZQKjF2ngUVcM+LxgMhkJ5daVAYii2NG3DZr/DdC2etdytt2RpwiGv0Fq7cFOPOI4ZDodyv2nJMPPdokB5DzEHQRAyGI5oqUhCQxgEItT3BS0PgoAkTYgSyZ7rm9iyOLDbbqmrijCKyLIBw/GYJE2FYmoB2x61hGVZ8+7DNd+9fk9e1oRRyLOnj7k4PxMdnMtyapuGxWLBx/cfWC2XGGMYDDJG0xGj8Yg0FeSmaVu3SfeOy4KmriRPzA25PU1aEGfZsPu2JQ490tDHadqPzaXtdYluSWCRLVvbNCzu7/j4/h3F4QDGMhykpGnMeDzgZD79waLy9/EajCdHBK5nEfQCGmONUAAdimNMr29qUMoemxdPKawyGK87LpQe9DU9uqMIdACBxfoBLhDBNWwB1opmcTyZ4vsSBRNG8TEfENegHQOt++/XPmzmj6xrt4w7fi+uVj58kGuIeqc+ei2324TWFU3dCKqaDBl2hjhJ0Z5PPBiQpDFp5BMqi7Itpslp9ivKzT2H3ZaqqgjDiNPTE/AjOgLCOJIh0d1v1jVkUm/FpXS7O1DVNUmS4fuKPD9wOOzJ0oyz+YwsiUHXVIcNbZUznk45Pb/k7MlzPD/i3fsPLBZrHr18QZSkjCdwcnLK5eOnwkzQmk63suXvoG4qfA/JPa1z9rs9bedxfb1gOj3lix/9BGNht3+N5ykmztRFGB0xo+GArq54/uI5jx9d8uHDe8qqYrFYkkQBne6o2xZjfawfEaRDBg5VVJ6HdvrkpqmpfY3VouFsWk1ZSVZkWbegatIoxKqQ4XhCnKaSVezeO8mAU/iexViJIfF9sNpzES2WwHfOlyFC13fNN9YKmqs1VVGQ5weapiFLU8ajMcPRkNidEw9eBB1ad7Rtw83tHW/evqcoK4JA8erFM549eUTgq2PcRlUW7HZb9tsN+X5HXVX4fshoPGU4mpINx8RJirWWzfKe6M07rIW6qsj3ojELrFS43/E+6RclRqN0TRLAeJgwGEijZYymO5pKiF6orUWrv9/t+Xh1zcY1cePJjDCUzGI/jBhm6X+9ovP/pysM5ZyzVnR82piHxbrLzTbWyiD2iRNu3wTjPSx4tFtqgCEMA5pmwDBLiSLRQx/vFWMILI4e585lQobDCdPZKWVZOZZFSBRJjxIE4RFZsb08wj7k2fbSEGP6pf8DyiznvnLudt6R7dFfxmn1HmqnQyR7EIN+wLRoAqwxRHFA4DV4uqIuD1CVxC567OP7DxSHPSenM8qmpdUeYRTJvOkWesev7fSyTdNgnT6wbVqJM3G/ox7+R1sW7O5vaXdr0jTmyZNLTh8/om07Vpu3rLd74hOf0/MzJqcnPHr8iJP5jDCNMFZjtUF3hu1mw36XozuPxf2C7XrFfrcniGKKqmEwGPDk2VPW+4qb+wXGQtsK8r7fH7Aovvj8M7777ht+/MVn/OhHX/DVV19SVMKY0EDhaOrJKON29YbOKp68/JwwjdBdh7JOr1c35HkpFGVrj9rkthP6axSGEteCz+WzF5xePoIwJFS+8wZ44MYEvhgj5k8e4xcL0jggDt37bwyeJ/1hNhgc/T48QLcN+W7DanFPedgxGo2YXzxiNBqh3FKztwzojBHjrc2a92/f89VX37La5mSDlH/yT/6Mn/70x64X6PWPGt1W7LdbFtcfuLm5BhSXj5/y+MkzBuMxSnluIdg6radInLquccuWQPxIfJlJ5LawotF3yRKpr8hijzCUJWDf2fX58J1uJR6jrChzyfRer9YUVYUfiPwgrkqyQcbpyewH68Z/gYYayRyjnKmNcm6bysdzw5cS7h5Ha3flob2OwMo2uy/kxgoNVXjnuOHROz4QvbMfx2HyE8Mbr9cTWjeASgGSYmAdPQV6HWj/SS18YvohURgPNgDeA13BDwiMxgsiCEInnJY6o5SHjwQnex74bjMvhyYYq9DGIzYeceeDb/G7gtD6GF3g2Za2EeOF+5tbwjjgZ6+ek40nXN9vODQHVBAeG8ZjSTEI6tS0NLU8XF3biSW67tB1hbWWJG4xbUijQNkWaw3T2YTJIGQ4TCSDpu5oW8Pp7JyLZy9kyElSt+W3ruCaYyxEVRbUZcE4naKQ18AAh6LA4vP82WOm8xM2uwO73Y5Wa87PLxiORnRagwfnF5dcnp/xZ3/2J8xmE3wFv/71X/HmzVvRA3Udh7ygqGo6bcgGmSvagjiYtnHGDKKf0W2HAtrO0BkrRUZ3jjIaMxwMmUymiCNVg2cDR90TBAfr4UcpwfkZShdUm4iYmizySFOfNPKJooAoigjjSAxntKbRvRh4T9e2ZIOM4XBEmg3E8c/z0G5jaLHOCrnl6uaev/jLv+Xvvvyesmp49uwxP//5z5ifzOjaFq+TgrJcLnn7+i2L+wVB4DOfzzk7O2EwyAgCcVa0SINWFLUzyxEqYdvUdJ285wZN5w6/tmtp6wp0RRZogkhIW0Ybt5HvnzdZvEhEhyBhZVmyWa+4vb6mqSrm8xmTyZTJdEpVlgxHQ05OfngD9ffxSpLI1aZen903Tx6e8omiiDhOCKMED0OWJRx2a0zX4CuQYPa+3h35VDyYf7m/MDKiS1YeWM/Dt6EUeSONUBRHpFkqKHcUiHYD64yZ7LEOHrfo/fft6qqryFL/rIwToksxDzXQsw8121HwAz9wsU6CSrdtiNEGpQJUkNBpKxmgKMmWDULCUEnkR13QHNbkyxt2d9eUZUE8nDCfz+nwKVqDFw3IBkOHbDqzNL837BEa2Waz4ermDjzFxUUM1lDmOVVdEXgeUXhG4FmKYidxDOMxk6dPyUYTPBVwc33F11/+lmwy49GT56TjKZ3RDAcDlArpukbyJJ22RmuD6RqyRBgsWmuqesPV1YI8L/niR3/AkydP+Orrb9kdDoRxzNNnzzi9OENjyIsc5StOTub84pe/4EdffMbf/HXKX/3lf+Tq40cm44woithttyyWW6wf8ejFZ5wo31mnOx2y56E7TduKflgBddvhlRVF3dLIRpKiqkmHCdPZnCiOUVhCNzn5eAQKYuVhfIh9SxxY2k4aRtMplJcShoogUFgjg14fb9S1DW1bU5UFutNkWcJwNBbaoNOr9zT1nqreNi3XN/f8h7/4S3779Xfs84KT+ZSf/exHDIcpXSdZuXXTsFmvWS0XlPkeYzRJkjKdnTCazEmyIWEU47llZVMLumwB07Uc9lvqsiAc6U8YRDwc+lZiXJIQJmnAMAlQyqMz5tg06bbGtK0gLFXNZrvl+vqG+8WGQZZydnFOlg0pmo7JaIAfRqRp8t+g+vy3vdIsPr6f1oQOHXSaRedQ37PFpC/QRwqchyMgfCJX6JyZofIkAqf3fhBzFpEu6UBQx35u8jyRTARBSOJckz1En+b5Msh2bgjtmV5yzjldfd/o9T3TJ72T5wniJMZXDxTsIxrl+knfOVv3iN9xWe8+TvGJnMMz6PqAJsCUe7ryQBZ6WN3x9W9/Q77b8stf/YLBYMCbd1est+WRrdVr6/pL0MVeE9xKlqf1aJoOS0NnFcbrCHQgbIAqx+iGyWzEyemE2ckMTynyQ85ysQY/5vmPf8L07MQNyYgut+2oy5K6KOi05bDbkpcVYSLRKXiKbDikrFru7pecnV8wmc34/t1v2e9zjIXRaMzFxTlpmvH6+9eEUciLF8/5+c//gOfPn3FyMuObr7/k66+/Jssy6lbcnreHhpv7NT/9439GnA3FoMp0kgfoAAHd9WeYd5TttM4sqW07YS6EKSdnF0RxjFbe77An8MS6RHkeaZpydnZGUPliRqhbwBCFiuFgwHA4JEmEpWKNoSwLDtsN+80aMFw8fsJ0OiNIErdQ7TcLzgSo62iqmtubO/7m777my2/esCtaXr16wp/+2R+TuDphrLAXyiJndXfN1Yf37DZrTk5OefmjP2A2PxFaq5uJmrpi6+LIrLE0TUVd5tiu+eR8kLsRnJuqsfi6IwggDSAKnSzj2NM9aBq7pqHMBU3crlbs85wgCHn2/DlJNuD6+o6qrjBWO83+f/76wWFxu1sdXzJrrUsMkMExjiKCMBRTlU/1PUjh6elxypeigJVtKcftuDk+5FprV2AkKsBaaLuapimImoiyyNltV+x3K0C74uXoD58EsLtl0ycNlaMi9ijjcVj0jgiebP/73LPwiFRZBKFqdXe0DbemH3YdB93zsVamfm09Wu3j+SFmNJHg6K6gK9YcVncU6wVB4PHk+TPmp6cUjaZqW6I0E/qk07v1JjzGmQw0TUPTNnSdUGGjMCZLMlr3/SRxTBT6BG6QDcMhofXJAnkxVqstb95+RHshn48mTE/OBYZXSl77rpWMSwdL9Bq+KPRlu+or6qZhtdlSVDXz+QmT6RSA+/sly9UKpRSPHz0+InthGPL5F58R+R6TyQSlFNPpmDCI+Pbrb9luD5IRlmZkwzHz8YDJdAZYuqahM52EI1touo7UxvQ8jiRJGA4GlGVJ3YleJogD5mcXTGdzsJaurtDKo9Mt5rg51+i6YHH9nrsP39PmayJaxplPO84YD2OyLHGFTGhNjV8LdaqqwchAOxqNSQcD2Rq6g8ZzOlrdttR1zXqz5Tdffsvfffkd96sdSilmsxlPnz4m8EXno7Vmv9/z7s17FosFSZrw6PKSk9M5aZrKNsk47ZYxlEXF/pDTaiN0IMWxuTNaNJ+Ni0Np6hrT1SS+wcsUyrohxWq0NU7uJs+dmIoYF49RsN/vqaqSwXDE46dPGI/HpGlGOhhxe3vrDvffv237b3/z10C/mJYaITSQyBltJWSDEUmaEviKrq2pqgLdNohRS6/94YgC9uYEPZUf3FzkDj18J163hrZrKCrJDdvtt2w2K7qudkgf9KjfcdnW1094oEx5DyYQyjVHVjZmn9CU+yHRgjM2sK5Z6pfqv+NqfXSJ9mXTayyeHwhDIYwZZRmDJMSrd5TrO4rNgrY4EAYhs+mMwXDEel/QdprROBUWQ08r48H0wVhLXVUsF0vu7u8ZDIZYrOjjlehNxsMBge+h25LisMWajslEKKJdp3n3/ff8+m/+ivXuwB9/9hMuHz0jTAZYz+ApWbhoZ24iOV7qmAfsByHKD9BGcXe/4c27D7QahpMRu8OOdx8+sNvtSbOM6WRMlmbUdYtVPn/whz8nS2NevHrJcDRiNBrgYVmtlizup5yen4nRytgSpEOm8zlBGDijhPpo5tN2DV0HvhfguUxPQZNxrxFCcYtiskGKaSo6pcT8wFqRUngeDZp6vyLfLanyHV1diLNqXRBHiiwNUF6AbmuqqiT0laB2gcJqjfIU6SgjywbHpaLHgyGK0X3zbimqmt9+8x1/8xvZtHfaMJtOefniuThWOyfV7XbLcrGgOBxQHoxGE+YnpwzHU9GSKcmN69qWw27LdrWkqUtZVFpDVeTkhx3JvEV5vpiha+UWuOBbQ+QZhpFiEEPg96h7b7xXiRttLdrR7XbHYrGmyHNOT+c8e/6M6WwmTpBlxWw6FmlFEv1Xrz3/ra9vvnstiO+RbglhEJAmMWmf3enod+KA+rDsUr3ls6sPPfUd3MKKvjeSz93HRSg/xHqKqq7Z7XcoFWCMZrfbsVguyfMDrUNXLD2VVL6eSIq8ozzgyCQ7MiM+ARvk23z4Qz9V9CPgsaF9+O0Yv9LjMm7w7CPhtPtZk3jOfDajqwtiH0zT8PVvf812s+VP/vRPmJ2esN0dMJ5iMJ6QZpkbUh8QDGsNppM+t6lrp9+tiZMBOLqsLBOPwi2yOGB0OmNMRBD7lFVFe9jz5vUbrj7e8+rnv+Dk/JwwjSSTu2sfnpn9nqYsycbiRqwCxXQ+YTSZsNvv2e4KPl7dsFzvePTkKR8/XPH+wxV5XqBUwKvPXnL56AKw3N7ccNjv+NlPf8zZ+SlRFHJ2dso3Xxq++eYb/uRP/pSXn30hbIj3t/zqj3/My5/+lPxwYJ8X+J54anjuLGva5vheqk/OHmMsuhPTLOKIIIo5bDcYp+FT/QLWLRBs23BYfOD1999Q3L8Do4lDWeC9fPaIOBYjSN00HOrK1YAc3dYkacJ8fkI2Gj/kh1q3/HUzgrAWDEVR8913b/j1129Zbw5oq5idzJiMJZqp0xrd1OT7Lfc319zffKRpGp5/8RM+//wLgnR41JUbl1N52O1YLRa0bYtF0dYVh+2Kw3YBOhC7NRWKFMUPBRX1Qwa+IQxj4sDie+bhvnWLXqM72rom3+/YLldsNlt013F6fsbZ+QXZcCRxhMB3r7/ncDj0DNb/7PWDw+Ld7RV9QLzRTvvFw3rJmB7Kl0fBOCpWGPjOTTIkjiOCMBC6n3NV7emo/UY8CCRzqW1qjNZ4CoIw5Ob2hvF4wuGwZ3l/jdUtfuC7Qws8T+gUQRgROJvYo2Kr34rZnmAlleKo6bC9W2RfVxw1wiGlmJ6OZY4NRV+AxHDCx1MBSgUyLDoNh4dPanNgBKal2q/YrldEgeLRk0tm8xl4nojoN3smZ08emu/+YbE48bhw8a2j+Bqt8UOfIIrwdADWEMcRaRQSBB6h1+F1Bq+qyfdr7u/uef3mivcfbpicXgjNwQhN0ncQuNbiXuYHIZ6z14+jiPFoiO8r3n244vZuweu376mbls9mc5IkZbXZstntqeuWJEk4PTkhjhOUFzAejvjRF5+R77Y0TUXbysZjMh5RHg7URUGWDTg7O2d6ckYUS0SKtbLx6VxQqULQXaMdpcrzSJOQLI1RnhhAWE8xHE+5ePSENBvI0NZUlLqlxqHajrfdVAe2i2uaKsdXYtWfpjGD0YhsGBNFsrFum4amrgRJD3yhxgwHJElGkqXyWnnKoUnSQIlJQs5ms+bd+w+8fvuB7b5EG8mZOjudkyaROLFZS1FW3N8vyPMD89mMx0+eMJvNiF1zYoyhc/ec7jTb3Y7d/iAmPy5vqOsaqmJPMizxfC30b90R+lZoubEiiyyR0vjIayhZfeZILcJ0NFXFdrMhd+5q0/mc0XhGlmVyxDoESN6nmCj8/dPxHPZL1wg70wcDICL9tpYYA4ugjFgkK9M5bCnlkcQhcRSKWUgk9Sh0m/qjAQ7yOXE626aVrKUwDMgGQ0ajMR6wWi7Ii724uEWhWKeHgWQ8SvHCbSmExmmhp857Hs7VFzccipOkND9KdF5HsgrHWoMV7Yex2lHMLK1xFC8e0GxjcZ/TJ/R9TsYT7HSI3xSUmwVdWRBFCaOTM8bzc1QQUldrurYjTsS0pMc++yHVYjG6E0OVskRrQxhFzkJc4flynqRpjIelqkqstQzHE9I4osoPXL17x9/85V/y4eqWbDonG08giOiMRvK1BCn2g5A4kZfR9326psNaj7KqWSxWXF1f8/13b8gPJSdnZ3gYrq8+sN9t3OexxGFIHIZEScLLFy95/OiCrq1R1rBdL6nLnPFwQKgsq+VSlkVn5zx/eUk2OSGbzAiCkKbr6JqSts4ln9L2Ug3wlU8UxiRRQBIG1E2NhyGKY6bTKXHgkW/uCRLJzLXaECjRdGrPUBc7OS+Vh3Zog+SEBsRRTJqElFakFVVVohRkaUqapmRpRpIk8vr3Zg09AuPuna5tKYqc29s7vn39jvU+l9oEPH3yiOlkRNuKRnG33bJc3HE4HIijmPn8hOlsxnA4xnd0M0F8a6q8YLO8Z3l3h64bfE8W0bqpyDcrhqcHgkQ50zIlztMBhEqT+YZBYAnQmE4Ml7QRGlZTlTR1QXnI2e327Pc5vu/x/MVzLh49ZjAagQdVWREnEWdnM8I4YTL5/TPzurq5xvOso5qLUYc1hij0SZOUKOhpb73fhAW8owt+GAREYUgQ+oRHuVBvicNxgOuvHp00Thri+74MBkb0+l3XHOsTn/SHSvW/1DFCQh2p/Q+So0+d7+G49+ZIx7Of/GXf8PVLZO+hNv/OMNn/X2PQ7ny3Qx87yoijANU0fP/NN+y3O/7BP/gjxrMpRZ6zvl+yWe84e/TCIeX+0dwGpJdpu1a8PYyhaVraRjOZZyRpSucH+MbDDyNGg4RBGjMyLZ31MGVLfShp65oP39/y9Tffse8ULzyfw36HKqQnD5QwALq6IYoihqMRg/GccF8I7TCJub6+46//5jfcXN9QlYWwwrqOuzt5TruuYzidcPlIXMKLouBnf/AzfvWrX5KlCcqDrq35+quv+fjhA5PJBGM63r59zXKTM5xfcnb5iOXynuVqTde0DAYZtq1RngxhVV27hAVh0qRJQl6UFGWB9Zy7/UyW54fllbDWPnmPJfPTJ/QVkTIMs5gmCFBW+q3nL55yfjojVB5lWbCtxBFbYUiT5MiYkkifh4gL6eseZgRrDHme8833b/irX3/F/WYvTrYK5tMpYSBLx6auybcbFnc3bBZ3eH7Ij//gRzx++bnkEqOO9722MiyuVys267UsZZWAN/l2SZ3vyIYXBIFPhwADXduhVEAUg+9bEj8hcK7/xrkJ96kUdVVy2KxZLleUeU4QRlw+fsTs7IwwSo7LHD/wJev74pwXL1/+YN34L9BQJUsrDFzmi3K6Lv/BXrnT2jlitVR1Td004hBkWjotyIc4NXquuemLh0U7PnEYBfSokgXn1qbYbHeMJ2OatqYscsn70gFaG2m0tMWzIgb2AxfufNzG9pQC4Rz3tKf+MD42bz3/3W2hPIcrep/+m/dQQ6wVVMAqnyDkITfKdFjTIVTbFh9xoTRdQzbMODudMz+dAbDdHXj7/ordvuL8uTgQdVrcVXuDkbppqJtaNKJ4jhomWjzjUEZjDIlrTH3fw0OGgHy7Z/HxA4vbe/a7gt7Ax4JzJ6uxWugPQeAzm53g+8Fxw11WNWXVkBc195s9t3f3NE3Hq1cvefHyBVEcUxQFbdvgBz6j4ZDBIMFXVgYSBXEYse9a7q+vaOqSzWpBYDWTYcZgPObkZC5ZNL6PbjuKLuchfqWTEGbfI/RlKJP3S1GWDUFQHlGCMIyYz08YjydisNE19EYiQSDmIB4+EKKGMfNRTFfN8E1DogxprBimEVGgMKalrUqaugarGQ4ysixz9MNItBShUIa16ekwQgfdbdbc391yd7fg5m7FPq8xVmE9nyRLmUwnGCO0ra5r2e/3dG3D6dkpp6cnjEZjGQx8/4iMy+EiB8p2t6csa4nLcPdmXZVsV/eEyYAgTsEKjSeKQpI4IIkVUWCQMtWTa1wEiDsIizxnu1xR1zXD4Yj52TnDyQTlR66wSQZZ0zTihDoeMRgOfrCo/H28sixwz5nUBj8MieMErKVpOofw9loeTdNK/l3vYBzFIVEkSHzgFk5GGw75QRDgrqNz2hHtjDqM0dLgh74EYh8pmXKpUUZoPbrO0ukai+iKJY7ooZHqpQHgapv7/71uRwbch4bqQfcD1h0axyHSA88XAxSFj+nlBJ4SqrK1WHy5tztN21XYLsS2FVZ3hEnKcDxjdHJOmA4pC5fXFUQk6QCtLW0nAegYoa5ZrBssZHE1yFJGg4EsJaw5No6+Ulgrh2KSDVBdxWZxy/vvvuHdm3csV2u09RhMZsTpgNVywWJ5T37Ycnp2xsXlJb7qg8dlOXgoCnKXKfbXf/XXrNYr6qrk6ZNHvHj5ijjw2W+3hIHPaDRgMByRDTL3jMWOhaHYbSrub65Y3F6zWd5zMhuRxRHWiKuw7jRxHJPGIb41mK6m2OfUbctuvUTRYW1H2/nyXhjLZnvg4CuhoTYtcYTkQ56dEHiWfLMgHjTuzDKyKW4VnaPMBcoQRyHYDuVJTQ5UT0kOCIKIMAhBeaSJZIOJdjwWR75e+qGNWyzKn+uqZrVacXNzw4erOzabg0ReWUschzx9+hjfl0ilwz5ntV5zOOREUczp2Snz+SlJmhGEoXPBFXSlLkuKg1i6F4fcGZPJAth0LfvNmtFuyzDMUEEoOXoKfCyJD4NQFmMYpx03mq6tXESHfO48z2najsFoxHR+wuzkhGQwdHW8oW07lILz8xOy4ZDZZPpfv/j8N748zwhdNJI4gawTd+zRICFLEjFzq8RUqW7ErKTVDrHA1Uf3PPYMBtHg95IjHPIoz7bnao9/fI77uqWOz7Xy/SP1v581e7roUQ7USwRc7i2e+p1hsh/++uu44DgOikd879NX43f+hR7X7M9Ia45mh0lUi0s6hvvlEt22/MEvf8H87JSmrthtNrx/e0XdWQaTGcoPZCHnzgh9PP/1cYHY6Q7le4zGoyPgEQaKJI2ZDmNC5aHXO8rtBlUdKPcHbm7uuLrZsTu0RPM5cZJwd/We8iA648EgYzafM5hMSdOUII7xw4i6XtM0HVfXt/zP//P/jfv7W3zlMxzEnJ+dMMwS7MmMu+UBbdYMBgPCwHdxOQknX3yO7yt22w3XH97z/ddf8uHdW8bDjPPTuSCIh5x4OOfFi+cMsgGxtiTRKbrTeFazWxUEyJK6KEoX+eWxOxSUVcO+KGg6iQmyfsj87EzyCruK8HfeRNezt2BaA13F6WzCyeDHJGEg93KW0DYNuyIn3++wXcNwkDKaTBiPx2TDEVEcwSfZxT1C3fdHbd1wd3fLr//ut/zHv/ktq+2eXv+axBHz2QTlWZqqYr/bsb2/I9/vGY7HPHr+gvOLR3ihAAC+c+fte/yiyFnc3VMV1ZGx6Xke5WHL8uY96ewRJ9NL/MEYr2f2aFmTDVVD4vc52hbjDA27rqV2/ijbzZq26xjPZsxPThmNx87YR3qApm6oypLTs1MePX7M2DEG/3PXf9Hg5tNNTtBnzzl75V7TY93g17YyMFZVLbCqWOzJQ9Jqh/QJIqQ7fXQcG6qMOA4Ik9hphmTLJGHorhnyAxeV4WHxnd6io2mNG0577NB9z59QsXq6k3JaJF9JQ3ccHj8pJb3guW/ITU5YZmMAAQAASURBVN9IuW1I10klFDQuIAwj8IPjNj4MAsaDGN0oPN0yHKYMB3PGkxG+gt02592HWz5cLwgHEtpa1jW26ikdwjdumpqyqh16Jqgtjn7Wti1VVQMwGg4lx83TtFXF4uqKxcfX2PrAyXzM2dkJV7dr4smcwWDgjAZKVos77u9vefToMfOTU3zfk0yt4sD7t2+4vr0ljBKiKKTThtFoxMtXrzg5PWW729K2LVmagqcYDEcEvofpGoxnJHJhs2R9d81mcUu+39FUFViLH0dURch+sxXYvdPs9nuCIOTkZE6WprINS2I+e/GUq/fv6DpD4HlYbdjtD9RdS9UZjPWI4phskFEXOaubj0dHtqO9tntfddei2xbdNZiuwrOCtgWeJlTge5bAhyySQjM/mTAYDhmOxkRhTwOQJtP095oHTVOxXCz48P4ti7t76qaj64wsVsKQwMBoNBQTjK7F6s4tATSj8ZjpZMJgkB1z+Pr7D2uPupCmbdntc+q2c1QVi9Yt3WHHzcc31G1DmAycSU/EIMuYTcYMgiEqUI5y6LZk1siz09Qcdls2yxXK97l88oz56RlJmmGRnEvPiuVyUeQU+YE0TSVL8veQhlqXFVEYOuczGboDH8JAnDetCekzLa2Vg19yxWqapqOzsj1vu87NXD0VXmpJnw0Y+hbfT8TCezggTSWr0FhB18qydI6bRpoHjAymXUfdNByKWqzWEQdDMWVS+Mq5F7n1viCLvstHFFaH76hbny4jfuc/uT/Joq3nBbm/VIEcqm6ja5FhMQL0ICX0FHE2JE1SRtM5KojY7/fc3Vyz22xJp2cEUUrtaFe6bRzaJaho23V4ymMwyAijiOFwgK+8ozMcrv6BFRpwZ9it7nn/7Vcs724ZjgaMT2ZUxufJFz/j9OISYy1VkfPuzfcU+Z7xeESaDpAoHImG+P6779hst3Sd5ePVFbprmc+n/OKXP+fy8VOur67RumUyEir2dDpjPp8RRhGeZynzA4u7G27ev+H26j279ZqubUnShM6hJE1Vsrq7pakqoiTF8wOUH5GXFZ4fkA4GvHh8weuvfktd19RG41lFHkcPlGMjb8RoNCTLEro6Z3v3njDJCHw3VFuJhWjamrrMKfINRb6nqiqJ77EeV+8zzs5mzOYTsiRikEacnMyYz+dk2YAoCn/HL8C4jC/ddYL8VSW3N7dcXX1kuz9QlPXR/dzzPIk5mU2p64q8OLBzDqmD0ZiT+YzpdEIcZ3i+T+fy1cTgQfecQKGgaYO2nosv0HRVyeb+Gi9KmdWN5HlGiSw1YtGaR57GMw1aN3Rouq6hrYtjTEdTN/hhxHwyYzSekg5GBFGMQWFMR6c1VV1ijWY0yhiNx6TZ759mcbc/MMpiolAM5YJQMcgSzuZjhpnoTOvecMWKtr5uNXVVsSsbyrKmaTVt1zj07qHvOhp5ORp+FPjisOq7RY99kPEc6fAeR52kBJ73+nuOTbxSuOFU/Q5z4iFvUUyPjl//iDZ+inL2FNOHs9U6qdIRjfwEgezPYol8MUxHMmRXmyVtW/Pq88+Zn85odUtTNlx9uObNu2uevPqcbDjCWqjqirb5VGtujsyJumlo21YYF8pjfX+H8gOm8ynjeEBES1sW6M2SYr1me3PN/f0CFUY8enTGycmUwcU5jx6doaIYNfTwq5r7uxvqquJHM8lh1W3HerXhN3/7t+R5SadhtVwR+AGz6YRnzy65ODshCDyMbpnPxhhrGc8m4vStFGmS4OGxuLvl6y+/5M23X1PlexIH0hx2G/KiJIwTwq7h9Tdf4wfvHUikCN1QWFc5p5MBwzSkaxqMr2ixtMsV1lqXPGAwTruZxgHru494qzs5wxyS3bMDje5oqpL9ZsNqeUdx2AOWLA4ZDDLGg4TRMGE2GjCfzziZzRgMh6RpSthLItwQ8JBGIHET+eHAm+++49d/93ccDjknJyfiXHuzwVrNZJQxyBLaupIl13pFU1dMZzMuHj9mfHKC54dH9LpnXxptaKqazWrFark+ump7vkIbS10c+PjuNbVW5I+fMjp/ymx+RjKcoMIIsKS2JfAc69AatGnRbUNR5OS7T1liJ0xmc3eP9eadgpTvdlv2ux3D0ZDhaPg7Gbb/qesHh8W6aogjQRL9QBHHIUkSy7AY9Nucnn5g0TokjgOiUHjVTdO6B6JzfPQeWZRvVuuOMJAGfDwaSUEx0hx12hCFoWgmulA243hEUUQQhDL0uNy/w6GgahpxLHVUSwPQucPO6RiV20T5vmxv+uLjHWtS31TjBsa+EMrfGyPIAPYhi8907dGgxvM8VIC4oNqWJPJJRmI37ilFVVVc3y75/s0Vh7LlyeUET/lUVSU0N2sdKqoFdnZ/Zy2owBezgcHAUW/FfSxJErdRrri/+sD7774h8hqePb7gdCYF61DVNJ6VnMpOAt/v7+5YLhecnZxgdUO+b/n44QOrxYLvv3/Lfn/g4mLIdDzG82A4GjObTbDWsNvtKMqCOA5RTpdVlwWH3QYfy2a95sObN6zubqiLA01VHpEZr27I85rDISe8u0FbsQh+9vw5ZydTRqMxSZwQKMWf/6M/YXV3x3q1ZZDEItauW2otIl/8gMlkQhaFbBe3GCQbDmvEmdLRUAWF7QhDyRNLkpgkjohDT5rcQJHEIaNBwniYMR6PGE9GDIcDYuee1TdQvVbHGkNZHLi5vubq4wf2uy1RGDAcDAnClPfXC4eQCyKRpjFtU1Mb0YZlaUqWZaRZelxc4Dn6qdPuCB22IT8U5Hnh+naPTmsZGGzDenlHWVX0Aa6ogDTJ+OzlM2bpS7xIciutEYqhFNeC/XbDYb8lywZcPnnGaDqXEGUX2eIhtuK77ZbF/R2b9ZosS6WJ99X/vlj8Pb96m+rOHVYeHr5ypgx4Ek7PJ4wE14S0WlO6aIOqqWkb7f5/79bcx/rIABrHEWmSkGVifFLXQr+LwoDRaEQUxkhItqPndxKd0HYdZd3S6S15saMoKzw8glAGRuX1TCt7HGo9Ry+PwpAwCuU+c3XsoXnhWO/6ha3cK0KHtz1MoJRDF3HLw4DIV4yiU8IwJgsz1GAkh5IfsF+vePfdd9xc39LgMzp9RBCEgso2LV1Ty7Doni1tLEEQMBwO6LQmc0N03xQeGS14tG3N9v6aD999TZEfePbZ55w/fkJnDVe3C6I0EtZDGJIkojeVd0wyBMsiZ7NZsVgsePvmDZ7nMRwkpHGECdWRUeArReuG2vFwwPx0zmQyJVRw2K2pipzrj++4evua9f0NTVnSdpqqajBGJAKSpxrg+QvR+qey2Z7OTkiSjPF0yvnlY5J//S/QZc7d3S0+luvbO4qiPCJ2HsgSaDahKg8slks6LVrLdJDKki1QaN0dzcps1xAFHkEWMxkJQ2I8yphNRozHQ4bDjNEwOy6AwjByTs3SJGunfamqisN+z3q1ZrEQ6nwURjx+dMkhr/n62zeSUev5jEZDfN9jf9hRljnGGqazGZPxiOFgILElSoLSu647NoeepxxVC+q6pqmFodRoMTQzpqbdLCjqitvrDwTJEBWmxHHEZ08fcf75I7dsq+hMi3asprapxYXR9xlNZEBMswFhFIuODjDaDQVaIg3atiFNU+I4PiL2v09XHIWMBzIs9suYQRKSRgGhr2QhH8gyPAgCLJIj3dQxyaFihWVjaokWcywJ5dA+zwpS6Csxu7mYjZnP5uiu45Af0NYSBULPxwpoEKcp56dnBGFMnuccctG4rbcbdnktUpwjQuh+uca+N9HpEcqgdzZ3DI8edQRwzm4PQ9vRwMccnzH5uAe08YgEWTBaZB9VvuP0ZM5kNHAmhA3bzZ5vv33DelvyKpH7q2pbdts9290O5eKXwkikPpLJLFmUp9MJYaDwmobI84jpiOjwraWpC/b3C15/9x1NXnD+9BEvPntJHCqWixUmzmgbGdKCMKbc7vnq6+84PTnl+WefY7Xm9vqG12/e8/W336O1Icsy5qdzmqpkMhnx6PKMOAzYuqicKAq5vDhjNDtxzATLZr3hzevXfPf1l6xXC9JQkYQhdV2y2+1pdYsfJmSDIftDQdO+w/d9Lk9PePTkCafTsYTV+yPOh/8CW+/56pvvefXZK9brDfeL5TGf0VhLmmV89sXnpFHAbnXnKKjWScUCZ+Jj0I6NptuW2IdsNjm6w4eBIkliTmYzzk9njEcjBllKnKaEUR/J0pvZmOOCvnP00K9+8yXv3r5lPJ3wqz/6FV4Q8b/8LzWL1UFAkizF9zzKPOew36O1Znp6yunFpWggXT1zhCWpqbqjKgrWiwX3N3fkReHuNw9jLFXdUpQNftPh+x/Q5Z7o7o7BeM5gds7J2Tmz+Qlh3KKswtgWa0TOUOYHisOBrmsZDIeMplOybChRNUcXdBcDV5Ys7xfUdcN4OkOcwf9/MLi5OJ8SBS6+Iux56uFxwIIH579+YyNvQM8DdxscrY9Of8p1JL576OPQ52Q24dHlJWHgSzREUQp8OplyenqOBaqqwvOUaCkiydIrqpLNds9ytaIoRMfi90291nRdS9t0bljVjucsOrjQce/lZ5Fgc095R6dI5SipHP8slzbmaN0bBj5hKKgnQKB8klgKcRz6xFFIGMkN05Qlq8WKD+8/slxvUeGAwXBI5AwwfLeB8axBa2fR33VHR7I4jkjTIaPRiDBKxP48CmVgU4b9dsXd9XtCZXn14jnnZ1MCH/K8pGo67rZL/uNf/jVhkrJarySmQXdk6YA4iijLko8fPgg9KJL3GU8JTQ3hZHdNQ5HnbFZrqrIS7STQNTXr5VLcw9qG+7s77m9vqcsCrD4+DBLI3NGZhqbrGCvFyfk5l48ecXn5iOFoJBmHgXgATydjZtMJvrV88eI502GGNZY3H2/4699+RdsFfPb8BU8eXVDVLa3WGEIXOSA/g98PjdYQRQFJHMtrGYfEgSJUEPkQ+t5RIxbFictBlMKlrBOdu3vAdC2b1YqPH96zXC4By6PHYvCjlM/VzYI+8N73PdIkkcWC1nhKkaaSkdbr0fBkm4WWQbFtpEEripzd7sDdYklelBIqbYWyV9W1FMRGMsGKsqbtDJ4KGA5HPLmcoxDnYItoU7u2oXROtxY4v3zM2fkF6XCEcRpka8VASmtxUlstV9ze3GKMZjgcyBD+KYvn9+Q6mc/wPGidPjtNErKBBPf2QcY4ExhrhQ7qeaJX9n1fBoM6oqrFdMm6g08WS0KlSpKIk5MTTk9PSNIUrTW77ZYwtFxeXvLy5UuiOMXzPGe2JRQgWbzVlEXJ3WLJ2/cf2G53gBVEJQyPS4bePEkbGXjjOCKOYqI4IvB7G3p7pPIc88cc98v7RHtknX+7p5xW09FkZKHlkUQRj0/nnJ3MiTyL1R2262jKA6u7G+4/fmCz2WGTEdaTkGfjXi/tOydCvB5Ilxy2OCY0EmnTSwb6RtDD0jYV+82C1f0NfqB4/sUXnF4+QYURi4VkFW73B+q6ou40t7e3LBYL5nNhVvjKZ7lcUDcVURiRxBGj4YBAKdIkwpqApqr48O4tO+cgFyokK9dqit2G90WO5NVuWS1uOWw3dG3jDNwU2mryvGB/2IsBWSS1ejyZMpvPePr8JSenp0SR0MPiUHF+MuXl0wuenGT8wU9+xGq5ZLlac79c8+bNe5q24xe//AUvXz3j+v6eutjTtB3pICNSCcNMNum+Yyh4PCzOpGmKGAwGDAcpSRwRKJw+PXQMHpf56SjKXddRVxVFUbBaif59v9vhBz6Xl4+YOXR1n5d8+c1r3ry/pm4NYeC7iIqWOIyYjCaMRiOSJD4u3LRb9vX0POXoePvdjrub2+P50jo7/UYbrDJ4FpQ1tE1Ft1nSETAYDHh5NiTwTvF0i8WZwXWyPFZ+IOdllJBkGXGc4ilhcBw1eY4WVpYV+/0O3XXYseRj6k90Ur8v1/PLObNRiq98iWQyljRNGQ5SF99jaNsGow1eIDpUbWVxoHC9k/Jo8fCRhkoGtN4+0CP0PZ5enPPHv/gFQeDz26++xLie7tmTp0wnM/eaFwyGIy4vHxMGEdv9hv1uyy7f8/7jFR9vFhRV5bSTSG6c+2Wc4WBv1OV9gjQqRzU/UlR7MKDv3n2xMOmZE5+ikZ5rEj9dDPpKMZtOUVhGwxFpHMiQ0jTkhx3ff/eWu7s1RmXC43eGikEQkCQpSkl+83HRqpQABJ7HcDhkNh2TxjHWdKgwIE0jMuWx3Gx59933WG34w3/4Rzx+/hitWzb3d5RFTr6vuF9s2Tew2u65ulmwWi74l//8kjIv+eo3v+X+9pbp2aXUJt2RpgnnF2d8ePee/SFnvd4SBortdkdT1/gqJI5ijOm4vr7i44cP3N9e8/HDR0xXMh4ORR9Y1VRV5RhwmsAofL/GVz7TQcLzZ0/56Y8/ZzafoxSOodBimiHjUUoQKP7oj35FUeT8xX/431httui8JY5CfvqTH3N+MicvDiJZ6CUUnicGPh4oRKY0HKSMhmeMR0OyLCUKwyOD0FcyY2RxSJzELr8zdAw05/rrHfcIdHXF9dVHvv36G/Ki5A9//kuevXxBnMSslgvxJogDsJYkDjGdLJg85XF6fs70VLJicUtmHB/bIAaI+W7H3c0N99fXbDcbqS+egBBV03IoatqmI/EDBplQaTfbFdcfP2K8gGcvX/Lf/emfEiQxngXd1tR1Se0YJEopJicnjMZjojhx1NY+X17moqZxqOZqJRnvSDzRf+n6wWHx6aMzR3mznzyEDxauXWec8Y055tY0zvK2345HzjG135SHgWyvRJZhGQyHPH/+jMl0ilJQ1S15LmGgk+mE6XSOxaOuG6GtKrF0bmyLr1oCPxBXoMQShdHD9pJPB8ZeX2Qf8vSc7rJ32XrogK3wgHuqlmugjxx2RxX1PA/f6/WPUpDiMCBNIuIwIAikeGljqMs9m9Waxf2CqiwFnR3IZjdJRHMIiCbIdMiAbzFRhDFGKERAEIVOIylfP1AePhpdlWzur/BNw4uXT7m8PCHwEVvmsqbpDOvNljf//i/YFxVV3WCtJUsj0aEYw2w84vLigrPLS+rffkNeVnSLFYeyoa4rZg6BCIPgaN4hboLSHO82a7q2wrQt6+WSoigwXedeY4UfhvihhNR6fshgNOTk7Iyz8zOG4zGeUrRN49zBGjwPdvuc7e5AWZSkScJPf/IjTmYTXt3cst9v2R4KfvbTH3Px+IlouZTC9s2uew+1hc5o2lo0VXg4qqChUxB6htY3hD40viKOQqzpCJRF+3KfoAzWRR3UdcnN1Uc+vv9AWRZMp1NOzs4ZOCfYuq7puo6yKLHGECjJYgsdZTlO4gfzCOUwa90j4JqmaSiKks1my2a7Y7fbs9rsjrSgtu2pj7V8DuR93u02tI1GBUITF8S+HwDFkbAqC5q2JYpjJtMpo/GYMIqlWTc9RVVjXPRGURRst1v2+z1xFB0d3H4fkcXBIJPnVYumMwoFAfR9Md9q6hqrrTO9kibSaElJDJTC+govDgkDOSRCX1Ck0G3nfV8Qq5OT02N8RN00JElC13U8fvqU09MLlBK7dN9pC5QXuPBoi3XB1ePxiNFoyGQ8ZjIZk6apPIudZCOWZUFRSoi5LF9kcdKzso5IoqObHuM+XKN0tMU33pEx4SkFTu8npgRCMZtliSBnzoirLXN2izv266XoN8OYGuVilgKU5xMngihqLa6kWFCOxigsD6lxxmiUdTFGCDOibUvK4kCcJpyenzEaTzDAbrdh7Rw082rH1d0dy82OzXpHXlZMxhOiMGQ2n5EkCZeXTxgOhtS1DNVtq9kfDigU2lq555OMOI4ZDYcYYyj2W2rHYMFtYo3uZIHq+8f81VOlKPKS/LCn7ToCXzGeTHj24gWvPv+Ck7Nz0lhiQaznYU3H7fUV33/zDVmomP7xL3n++McEQchud+D/+e//A4e85B/96T9kNJ9z8fiSsu4kuy6KBM11CJDpHDOnbaEVfXrllg1VVXLYh4S+nFXj0YhwNnXLT4euGclPLAtxMN1ud2y3W4wxPHr8iPnJCYPB4NgPWC8gS1PXGxjC0CfNMoajIWmcECei93b+4uJVoIVm6Hmi2z3s9lx/vObd23fsN1u8fpC0VlxcO43nS3SX1R3WWOoOWis/RxwFBL4nSzHj8pNVQOALghXGCXEUE0aRyFl6Yz7n9Kl7Wv5h71wBFa1ztg4C858uGH+Pr0cnY+IokgWN8o6ma6L1F5lFXTdyT4eBON47k6zA8xgkMb7nkcWBex8VYRiRxoGjg1qSKObHn7/i+ePH7POcKIgJgpjpdMaTpy+ZTecSFVDJ0jkbDOjalrpu2Gy3HPIDPnB+MiOKQobDAYNMliHWsSMkO1N6z94Z87jR7aUA7s8P1PuHTWc/GIr80Wkoj2ikDHzKDR0elmEyIPDE4d+0DW1VsFuvub664vbm7miidZQfKO+IYlvH2OnZTtbJS4IwIMsyQqXYrJZgNI+ePyPLMorr97z75iuyYcJP/vAnjE5mlNstu9WS9erAdrvltrCsdwV365zVrqBsWnxPU9Yd/+7//u/Y7Tb80R//Q1588VO+/O7tUYrS1A2ly7L26Tg7m8tyXQcUVcc2L6ibxZEaWpc5yoMsS4gjYYjUTSNxH8YeMw27usJGAfPxGU/OT8niCNM2aOxxWFzeL7i7u8NYy+dffM6zZ8/4x//kz/nq62/5n/6n/ythGPE//o//R+azOVWR0xsJGq3dckeW2T0Dq+ta13PllLm4zydRxGg0ZDwaiPFcHBG6BAcxCHSIoocMc86d/urNd3z8eEWWDfnFr/6I+ek5YMkLyd9t6kYMoKx4YohvRshwcsJoPMKPIpdt3C9lhSpb1RX71ZKb6ytW93eUpfSJQk2VuedQSJ6utZZxHDEaD7m+ueHth1vaVpOmA169eMwgxNHtO9piT1kW6LYmThNG4zHJYEDkwJ5+4WGtOMh2XUd+yLm7vacsSuI4oamrIyPlh64fHBbzQw5w1AMKJ90/Dk09PI8FhRx8ge8xzBKUlxKEgYu36JHJiCgKCMPQ6V48gjAiTTKUr2iaFmM8PBUShYrQD12grwQmF1V9bNDEalxymILAJzQhA2dr3hsP4ITJXds6mid4ygmpXS7ZUaPjhMwPg6H7+bS4kPbZZtYYRy3rX6WH1yaKI7kxA/l3YzqKvGJ5v2S72RL4PpeXZ6SjBhsJBbHXZEKfYeU2/J53pMn2SIHVmqoq8IOOwPMg9LC6psx36Lbk8nzO+fmp8NS7mu0u5/p2yb6oKJuW5XpPXslr0bUNSXLGbH7KdH7CxdmJ5CEGEYvlirJs6EzAPq9Ik4inT5/y4uUrRqMhp/sD+7wSXVtVHynBgorV5EVF3XR4QBqFZMlAguYnU7LhQBqIOJbNumuuddfSHKkgcnBtN1v2+xyrLcPxiGyYESQh2TAjiUPqLmIyGZNliTSYfoBxA7rpOtGQGUvTyVba6EZoC1rMiPDBU4bQ8wiTkCQKiCNx8I3iSEJR3XKkaxp2u6087It7fD/gxctXnJ6fE6Upfeh0vW+5W6zIywpjxCRqNBqRJSlJkpCkgloqt+052tEbS1lW7PZ7FssV69WGQy46m7JunGOgbL/LqkJrLS6tsaBZbd3QNBql7TEaoA+7tbp1ugnDcCBanGw4JAgfAtKFgqGP9Ne6Ep1PfjhQliUeliLPCYKAtmt+sKj8fbyausFzz1rXGZqmo6qkIHdt5zbtGmu03J1+4AwKtNNMG5TnE8URSZoyHgoLIIojR3Vx9vSpIIdN21KUlRy21lKWJYvlkrquKcvymD+ou46qFnSxrmqhHOMRJwlRLNTBIBB0yBor+kVfqDpd2zojCWmclUOw+0bc7cIETUYiEbTpA9c1nelNKmRY9PxATMacO6lvFJ1vaW0DbU2937FfLdhv1gS+z/nlJaQ5i7wFX5DJIJDXQ2pUg3FyhL5p6+n/3tHQS6EweGh0V9PWOcr3GE9nxElMozuKw57tds1+t6UoKxabLffrA/uD6D/rpmM0mpANxzx68ozJZMpgOKJtavb7A4dDjq8Uy+WGKIz58c/+kD/5s3/EaDxhubjnu2++Znl/K1pLhzQ9qDs80TN7PoPhkMl8zmg0wVOKpq5oG2m6R+Mxs/mcbDThqNG0Rn6yrmOz2ZDnBcOTKYPxmPF0gDWw2e6OiycJafY5OT0nSVMkssnSau30hDWN7o7mX8b2NC1Zkmktw62XxEzHI6bTCcPh8GG56uJ/yrI60gGruiJLE+bzGdPZlCCQBWbXakfFz9nv9xjXMGZpxnQ6ZTyeHHP7lO87N0wt2jNfctXKvGK9XPLx40c+vJNoksDzGWQZWI+y2VPWDa02RKkz1bNikFTXHa3xaBIxVsMD41hAKvDxVOiei9hFfEkciaU32OucREH6g7I4sF4t2W63xElMWRb4QXBkKv0+XbPZlDCM8UCMbKqaIAgYDEZEUURrYLfLqesOpVqCQPKeq6pFa0jCkKHTQPnKlzilJGaQpWSDjCSOCcKEOEmp6hZtPU7OLig7Q9sa1uvVcbFVFDlZOmB+cnLsdaIoZuhx9EvwfUUchnJu9k6qSF/ax3rYIxPMe9Bau2Gxz2g85uBaQ5/V/fBnK54Grf3kc3EEDDqtsaMp48EQ2poqP7C+v+P+/o6qqnj86Iw4Cbnd1PKsub44CEUvblw8XGe6o/GP1h1ZmhAGAXcfP/Lu3RueP3/OIIk4rBa8+/JvmWYBn//hL4migO3innp3IN9s+bgoub5e8GGvycuKqrU0jgI/n2eo0OeQb/nDP/oVP/n5H1JUHU3byrBtDJvVhnyfM8hiXn3+kp/+9Mc0bct3337PtlwdZUMYg9Utod9LAiT6q3WDxeNHF1ycnR19DILQZzQaM5/PGGSZSNicLKLRmqppuLu/Z7PZkWYpl48ecX55ztnlOdlwwF/8h/+VzWZL11QM0ohBEqE7kWSJvtVl9IIbfhqapqGqa4qioKorMUnU0ssozwpbLIoIguBheDLGIctW2IzbFe/fvme1WvDo8WNe/uinDIYjyfSuCklkWC4o8kIWEZ6w0YbDAdOTGelQWHH9vdcvYNuupTzsWNzfsbq7Y7uVCIswjLDGozMHyrrhULSUdUvbaYJAuXi4indv37LZi0lonMTMZyOiwNLVBU1ZousDFumPB+MJSZrIUrZ/Dvp7GBmIm7pmuVhwf3cvfhhNw2F/OLoV/9D1g8PiN9+8FZ2LQ2uiKJTtnEMJozAQmoezUvYdnzgMRR8jm6nwaODQJ8cYY+mMR90Z2qLCbkTfWFZCpesdHfdFRxjm1HXDfp9TNA1h4DPMYgZJ4JAASycMPvQn+pt+O2l1d3TYlH8XlM5T6mH7ZB9s5F2o2UNhMfqTIiMTuu9oF71dtDEGZS2hccXKysFblTWLxYLNessgy3jy+BFBGPLxbkPZekRR6BpJlxNJP5S6rSfQtp1DCcSYpMp3eI7/Poh9bGdBN0yHAyYDeSCapuXubsFXX7/m69dXrA8NZWdxtG88LF989pJ/+2//Nf/gj36JwtI2JaiQ1WbPx6s7DIq6bjg5mfFnf/rH/Pk/+UecX17Sti1RnJCkKSoQbWlv+tJ2WhzUWk1rRRsxms04O50znU5IskxQKQudNtRNA7Ubtl0D6eGBEcrwar2kqComg4wkEX6852lubu9Z73Ks51M3LXVd4SmfVstQnFeNa+qs5LkpXwTWfojn+2jPE+dUl6WjHKI4yFLSLHVOfRF+EGKx1FXB/d0d11dXVFXFbH7CoydPmcymR4S8azu6pmW/P3B3v6JqtAi7g4DJeCRDYhQeUSYPh2K5UONDXgp9d7lif8jpWjlckjTBeh77Qy6DY1lRN81R95AmiXsPfKxt3UMvyCnHBYgsOKI0YziUYHTfFyoFbkDXRsuw38nr2dSiU1rcL1mttpixJkki5/j5+6fjORRSF+qmoW1E4xQEvRunZJhGkRzsUZwSuSzMxukVgyAgTRLSJD2+TkoFtNpStS1V1ZA3lkNTY6zoEKtaBlBfKVa7krzsqJqK/W6Pxh7d8fpNt58MGMQpjXOc3h0KZz+uju9j6yJ8eqdW3xc6fOAH+I6K9ZCK6zaOIPXS9sYPYDwR3B8X8b4vRl7KF1cax9BQDu2p9js2N1fkuy1hHHF2eon1Qyq1pA5rojj9ZPAMUL7FmJBjvIE2DiWwR62vWOXLl1PKYrUEO0eh/FtT1247vmG9XnN9d8fdcs12X3EoaupWaIznFxf883/5L/j5L35BlCQOAfDZbjbc3d7SHRs5w2cvP+Of/vN/xavPf0Re5KzXG3RnMLrXr3tHvdODOYYnyFeY4IcpKhQ0Lc6GjsYrtux50bDfXdE4loPyLH4Q0rYtv/nNb7m5W6B1x2a7R9mWxWLJl7/5mtffvSZMUm5ubsnKEoOPisQYraxqakd99pQiSUVXHIY+gYqw9LpQiAKfYZZwMptwOhcNTxSJiY5QN50+8bBnt91TVjVJFMugOJ3i+2JIpo+MnZr7u3tubm7ELTmMmM2mTCYT4jgRWuJx2BLEuq5rDvsd29WG5XJFkRdYC8+ePQPr0TY1bd2yWm3Ii4qyrPAcOh9FMQQKXTYuh1gWsr2nACBGYc6MLwhjN6wqoZm5Wmi0dnRGocs2Vc3ifsH79x9YLFeMJ+MjTTwMfv9q3b/7f/0d42GGsbKgFKde0euLH4QswDzPw5hGUJkgYjxOiX1fqOKhoy+7RZTvK4yBuuu4XeXk5cZFcgh18FCWHIqCKJAl6jBdsssPLk4lkTiYOPnk+Zd6qxySLG7S3VG7aK2gyA9aRsCxIPC8h2HvEyTx2MQ7fRrWOkMz7YZKl+FtNX1kgu5k2aINnA2GoFuK7YbVcsFmuUR58PnnLzk5OeHq5pb6yyvSQQqemDPxyfLfc9RJPCWmkJ0mjAK2mxW71T3T2ZTHT5/QFnvevX7NIA54/PgxumvZLNbouiE/1Lz7eM/fvtux3mzYm7D/ydGmIx0k/J//L/8n/uRP/pibm/dMJxPKMuft22vyw4E4SdHasFovmc8n/Jt/88/55a9+gTGa7797jTZivjPEo9PiuN65rGeLRUtoOkkcc3l2wmcvX3J6MgNrqMqKui5pmpbV/Q3XlWQ+666lbRtBItuWb99cUVQVKoj49d/8DeVhg8Xj48ePFPmO/LDlw5tvGIRgHD29LAsBalQvHVPgK5FhpNnRo8LD5cCHPoPhwHkD9Gii5yQkos0zWlOXBdv1iusPHzDG8KM/+DnPnz/HC2KJw+ta8nzHenHPerWhqkpXa2E8GXNydkrkKPbHQRRhT7R1Ldr4m2u2mzW6aUjThCTJ8Dyfu7sFedmQFw1VLS65vUlmmiZst1uqupHPa3GMHktbF9h2T9e1BL5iMBiQjYaEkfhrHE173FJC0E0ZFPe7Hbc3tyyWawG34tidu/oIjPznrh8cFh9fnB2HItGN+E48yvEbUp5k7wTOyafThqqphLrqhr5AyWaxajR52XKoO+oWat0jaYIGaYesBY7qGPgFAE0jtDusJotDzmYD0CLaLOqW7bagqGrq2qL8EJ1pAuW5HKGWqm5oOi1Ceeu2wp5Hb4Uvr2evo3DcZd1bJhs60zcyMgR6QBSIsYtC4kM823EySnlyOmIYgW4rtpsdh7xgOptz+egRk8mQsqzkplZ9nIj3aTk7Os91XUddN6xWa3bbHbPZjCxNsBbatiYJAzEVsEYK93iIryz7vGBxd8f3r9/x5bfveX+7oSEEp4uMIp+zyYx/9a//OX/+539GGITsthvWm51kKt7cs1ptJdstCvmH//BX/LN/9t8zHo0E5ne6js5FAUjt88HoY8RCo2V7psKEbDQhG09RUUyroWokL6bP+bNIfmIYBMfoAYymqmpWy6U4EU6GBL6iKnMOhx1XN7eUXcd4MsAqqBrhza+2Obf3S5ZreciUr8iyAbP5jPlsQpYl4r6otQykaFAGE0pzmqSJGD1EEZ6SPM/ykHNzc8XdzQ1BGPL8xUvOLi5Jh2PA0DSNFMOmpCxzsU/eiZ7IWNlqTadj0tQ1Lo4nb2zvdNqx2e64u7tns9kCMB2PCdxhbK3lfrHi5n7lim0nZiChT5LER/QzjkKhRkoZxeoO07VY5/zrhylxFJKkiaOR9tQd+dUvVPqQ4CKXDLUPVzccDoIonqqAIIoF9fp9u1SCh8UPFJ5nZPhzOj9PPehggiAQTWsUC12x6DiUmmEWE8UDsjQ5GtOsipzbTcn9OmdzEOfLLI3xnVOjcQst31ek64Y4FPdTa1qwWtzJrFDn0zQjiQOqtuNQyiFsupZAQeALJV55Yjvf00j7YbFtDYHfa+pwx713pGk/fLxQ+xoDnYHOKrpjXXbadCD0fU5HAz67mBL6ClOX5Psd+8OBMI6ZXVwyGI/Z7g9oA6PJlGQwdIf0g6OsNKUtTdNQliX7/YE8L5yRUkiSiNFVEAR4FjotdCOFlsVZWbJer7lfLLi6vefjzT2HssFaoZVqbcgGQ/7xn/8P/Mk/+scoFVDXFZ2uWe/3fPXlVyyXS3zlY63HaDThF7/8Ix49eUZR5Lx/+5qP798LHdE9i73Lt3ZoA70mVfl4QYT1AloDthOzMnltW7TRorXpGrqmQiFnlB8E5HnBZrOmqhv2ecl2dyAJLOvVmuVqRasNSRjRdB02z2k6w6Fq+HB1y3qzo+06fD9gMBzx6PElQRTjRykoXH1ANuzOIXA4zEiT2LntWkynjxTA/f7AymkG0yxjfnLKbDp1SHArOXFNTVkU1FXF+/fvuVus0MYyTGKePn3MeCQmWL27ntbScOf5geViyXJxT3Eo8H2f84tzRuMpSimKQ856ueT2+pbNbs++KOi0FpOgOCbNUgyWutGOmdQdBwUxlLJ4ni/GLKEsTkW/6ZAlkHPKsUuauqYsC3a7A99//4avvnlN1TSgfGazikApuvD3r9YNxidMZxJb1enOnR+xmNvgkSQJo9GEKE4kPsBlylosbSNLqAZL23no2lLWJYc8Z1M05EVFXjsdZCzGSlEUcb/X5IVDVPyWolFUVUdeGDjsWWwlGu0YzxZKXq3y+3xF47wjHuRAXafpHJLeUzut68/wvN/93V2fupLKsyn/7whKgugV5aNFGtR1BFFCGvhUhy379YpifyCMQi4eXXB+cSZIadUSZwPmp+f4YSg0WfuwWDLWyhle12w2G3b7A/5kjMHj4slT5tMJKvBZL+5JIsXZYEpdiptv13RsVwe+enPH63e33OQWoyWDtkfcAzz+6T/9x/wf/sX/QFnmBL5iubhns9zw/dtryqIiDGPyomQwGPFv/u2/5B/+8S9o2parqys+fPhI6Vz2hYosUpS6qrBGO8MxMQMcT6bMT07Bg/VqQdu01GUhw1TbgpX84UB5xJHCi2Mgomlbrm/EBNNi+O7rL+n2S9pWc79aUR8OjLOUQWCptgv22zU31zdsN+LAbxxgo5RicibZgEGcUBUlRb+EU4osHpCmCXEsy23PvffG9Z1d11EVOevVks1qRZymvHr1GdOLS2e4JuyaqpAYivywJy9K9nlN2bSMRxnPnz9lOB4dfU8eDBXlbNqtlywW9+SHPX7gM5meMZ7MidMB5aHkzbsr9gcxbewd9n0lxjlRGLDZ7vDda4gHQaDQXU1d7lFeQxSFDAapsMQciHd0dnVTRR/T0dQV+82W5WLJzfUti+WWwSARA8dAhu40+2GX+x8cFj//g38g0RGePdLmPKPx0Me8Mc8at1USpKg+FC4zpSWIYkbDiCT28VRE53XsG8Oq0LQdeIGYjQhtVNFpQ1k7OLY0D5QfTxF4MYPI4/xswqsnZ4wyocMs1jtW25KqqfADKWCWfotgZUDpoGqh00LbOaJBbpMt3iLiutZpK9Bz537XlrYzYuWte2dNje9BoDhuKpXpuJiKuHeeQFNuaeua8XjK4ydPGAxHGK25uVuxWKyZnFwQBOHxze23XrofuJqG9XrDx48faduO+Vw45U1TS/EKFIHvSa5hqDDGZ7G45+P79+zWG9pOMxoOidYFbQsgQ3gSRzx58oRHjx453ZVhfzjwzbff8+79e8qiwpiO0TBjNB7x7MljfOVxc3PNYbejbhqW6zW73Y59XpIXsmnhKJ5txGjFD1BRjPEjKg1d1TuaGTAOSQwD1+yqT3R2YDs4dHIITCYjzs5PCOOQuu3Y7vbsDlKox5MJcZbghwG+sfhhA36A8RStBdsabNOSNB11Z/BbCabHdCirsZ4h8j2SJGY0HDAYDIQ2iEfT1Kw2W26vb9huNwyHQ549f8Hp2TlhFIvzaicDcts0tI2gmVUjOtG2lYNiMhlyejJ1lvSyHNC9PrFuWSxX3N7e0bUts+nUWctHeL6PMZaiKLi+vacoKheZAIEbbONYtl9YS5rGAHTaEgZiU+4hQ08SRYRhQBgFLhDZNf7WPBy6zhylLAr2uy339ws+frzh7naBAYI4Zjo/YTwZEwS/f9SsOpiJEUgYEIehM0ByzXSfL2jEJTbo6b9ty67QLNYllpjzs4Q0zogCRV41bA85r6/W3KxKaqMYDkKCNCENPTwamqqhdE6n1kqAehoHTLKQaZYyzGKhdAUBnvKpm45DUbIpWrAQBTFh5BOHCt8TXbkcck5bbSydBa3B6x7Ql97RV9u+3oG2lkZDZTwaDY2BRhvaTqiMRotZmNYdPvBoMmSexZynIU1VUlYlySBjfn7OaDoDA7vtDYeiZP70kjQbOAdMjVLGbXi13HNlyWa7ZXF/LxlVI9H/DkdD4ihy0TKKTvhhdG1Hvt+yWi1Zrzcst3tuF2vW+xIQfbQKPGI/4PLigs+/+IIglGzY/HBgt11x9f49r1+/FkTMFzOK8/NzTs/O2G43XH/8wNvvv6UoCpSCMIqk6Ws7Wm1c3qU8QxIMHeL5EfghxgtorbAHRLphhRKZJKShT5qEpJEiCn1AkecHurZldXfPaJCSxpI/qFSAH8REyYDTi0dcPnmKH4VYC7u8ZHMo2e4PKO0MPpSPtUrOsU4DMqRZq52BmmPEeEooXG2Lhgd3vNWK5WJJ18l5c3lxyXAywQ+cS3Any7GqyB2qW/HuwzW7Q4m1HmfnZ7z67CV+0OvKLE3dUNcNeZGzWi4lgFprt8CbMxxNUH5IXdfs9zmb3YG75YrtIadutUhbwgfNkTZafk4812B5R1d25UnesvKFTcLR2MHd+8chQQbe/U702Ld3C757/Zbb+5UY1ikldMo0/b3UZ48uf0SjFJ0z6UtCuRd95FyqOk2Ta5Kuw1c+RW64W2+5urtnvclJ04Rnj895cn5GmgRUtOxWBR92lqYLMF7IKI04uTzn82cXhGFA+c17rr57TVMr1k1LGkOEQXkxl+OA05M5WeSo/V3Lal/x/uaOsrMkUcRkEDDOIpJA3EiMoxm2jnJIr0ns/SeOaCM4iEUQn0/Ou66VzNoepDDuQ/vf5PMplOl49PgJAXDIC4nGyRJOzk6ZncwxGBaLJW/fXZGevmQ0mQkLwetjCuTrHfZ7rj9eOcp5TlHkTMYjLJ5Id8qK2XjALFNkw5S2PlBXFU1ecHe/4fpmyf2+wUtShsoTJ2HHSsPzOL+85M//+z+jrAqhVK9W3FzfslxsuL7bsN/ndF2L53n89Kef8ZMff85+t+P+7o7vv/2O5fog7ttVxXq15nCQLO3eODIKAvzAw/NDrBewyWvKpsM3IvmxbY012tEzU8YuWiL0fQwyLxRFwWxyy2QgjuDPH5/z8vEJTdvhq477ixlPnj3nv/ujnxNFIflmxCjxeffOsFptZDbQFg+RdEymM0wQ0hwOTn4DfUxez/zr+32cnKxrWg77LZv1irIsmZ+c8PjFS8bjseSRW4vVmqYqyHcbyrLAmI7N9sBmu6eqNC9ePObJ00uCQDlEWswpu66jKgu2mzXb9YK2rkkHA8bjCaPpXLKbPZ/dJufufklZ1QJQeWIkF/gBg+FAZpemIQwCQaKxpFFIHCoi3xJHMYPBgDhNxI/AmUgeb/def96J++pmtRHflMWau7sV2+1B3FunE5IkYX4yEy+FH7h+cFj8f/x6I9t2ZY+0oDCAwDN4yiMJA8bDjNk4I00iEmOIhzXpuKLpDHGSMBoPieMY8NkXNQw2mHVOURvwZXiJwgCtDVVRk+uCXW2pGo2xvuQA+ZCEME5Tzh8947PPnzHKQqqqodQfafQd+0rohUluUQEkgUfTWA6l4VBa4XT3dFVtZWNuhVuujZg5GOs5Oqts3I1VouUBrPKwngUlFAXhF1k3fBjQDdb30cajbRs8K9qAy4tzRpMxFsVquea3v/2Wzvo8fTUjimIXii2vt9buMC5LiqLk9uaOq483R0vh9WpN21SMxyMuTmd41lDnBdvVLdvFHYubG/I8ZzoZ8eTJJY8eWzw/YLGv8MKYNE0ZjUY8ffacJEmPxjl3t3d8+PCBzXojEH4cMbSWqbNX77qOpqnJixztaKdN07DZbDnkpTuMPaE9ao1BEUUB+CFFB6bUKOVIyJ5H4CsiFRArH+uDBjBgOtGcNHXHrqiwymc6m5EOhuzKljI/cHtzy+39ik4LxbRqNPgWq0Li0YRTPyEcz9nnhQQsex7pIMMP+9faHJ15rQ9hJNv2NE0JAh9rLHlRcHtzw/X1LU3TcHZxwbMXL5jOXLwEOOOjPiesQWtD22o22wO7fSHbfuWLFnQydhpWDZ08yFVVsVqvWS5WhL7i0YW4qYZReHTp67RludpydX3HZrs/GjSFgU+WJiilqKsKozsxGcGj7YzQxQPfOeimzvEwwPddrlW/XbWSoSUodkW+P7DdbNhtNyxXa5brLfuiFJ3q6Snz+dzFwHj/u1rx9/36X99oosCSRopRahkPFINEEfliaAAeCkMa+ZwMRySzEYE2RJuWbmcxwZgomzOajokCD30oMUFLZQ6U1qI9hRdmJIMJo0FC07RU2x1dl1M1NVVT02lNWHbgpzx/9pifffaMx2cn+L7PcrPjqzfv2N1sWVeiQ8z8EEWAtuA5amTTKVptaLTnIgfc5twhA+rYOAm62FkPg4dB0eKjvQAbCkLpeYoAUEbMfGhbaBpsXVNq2OYl+yIAlx84mz1iPJ2htWG9WPLh/QcOteXpQJzZWi33m6dlyGq7lrppKWvJPNwfDuy2O9Gf5AW+UgyHGZ9//or5bEIUeuRdyXa14/7miqIoieKYy8shYTIgHW4x1iOME6yBIAh5/uIF4/H4WLf2hwPv3rxlcXtL17TEQURtGgaDIc9fvCSMQu5ub7i9vXa64IBKd5RVTZFXgkx2D4hWH1dj/ZjOCym1R9sg6ISSgTFQkhPXArrz6GpD3XaEniwfm7pikGZ88eoZCstmteYqz3n3/ooPH25ZrPcMZjl5UTHwA5IsY54MeFa1qCCmrDvwFH4UESQDWgNl06E87bb8mij0nWmRUPqqqqFrZfFZ5Dl3d3csVxuCMOTp4yc8efqU0WiEp3xnW98et+0yyPqsNntev/tI3XQkScpPfvQ5lxfnon1x8Vj7/V4G9N2Oqm4YDEdMRiPGoxFZNkAFIVpb9ocDNze3vHn7nsViRV7VGKzLdo5djIWcz7hXnt9xJPfwA+dH4HRt8DAzWCs6pU6Ly+tqteLu7o66qthu91KzW8MgSzk7O+Xy8tHvZcYiwP/2rqLRTn4RBmSRuLgngSIKA8IgJk1jTrIR88mQ6VzhnZbUyRVqsud0NuGnLx/z5HRO4nvc5zW7Gpp8TWVbVBCghine4IRNF9MWDYs6YG9SitZj3Ri8XJP6hvEg5Yv5GT/5w59xNorEAbrt+PLdPW9u91wdGpJIUasAE0Rk1gMrYEPbQdd5tMYI3dXJiUSu2P+pL3bSx/WMC2u0BJl7BuvZozHeUfOIuMAbFH67IxufymK4awjThMl8xmg6xrOW3WrD999/YLXJ+dkfXOJHMZ0V+q34BohesKdhdp24mbetxvMU94sVi+srLs7nPH/yc8aDgGK/oS4qtus1d7dL9mXD8OSE9CJitd1j1xWHwwHrBwzHI87OT/nxT18xHCVsV+sj6LBarVlvDhzykqYzKAzj8YQvvnhFU5cc8h3LxYK6qgjCCG3EEGu33wsLzrikgEBiZjxPoVEcakNha6EhK4iCkEHok4Q+ceBBqNg3kLdOMhMIQtxpjyQb8vjxY5I4omsrbu/uWe92fPf6Pbf39wwnM5aLe0bDDEzDZDzg0fkJvlIc8pK6E8lY02kWyw3RYABuedQ2lcSVpeHR6yMwWnp5h5Lvdzv22y2eZ3ny7BkXF5dEaSZFGvEtaduaIj9QlcJuWK13vP1wx/ZQ4scJj58+YjodYq3zwLAiVajKgp2LJTPGipHg7IRsMESFkVCq65br6zsWi7VIwz5Bv6NYGDVNIx4gvQ7S82A6HjAZZWRpxCCNhSUWBL+bFQlgDVaLKd9ht2O1WLJarmmalt1OTCOLoiZOIobDIY8eP2I6m4g06QeuHx4Wv9zh4wYjB++LflGLBioMGA1jxoNEaFiBemiKAT+wBGEHnk/XdhRlza5oyOuOVluxl/XKo1lO22maVgvdE+/4IipPo0rYlBXb6iPfXe0ZpDF13XB9t+bjTUVRgdq3fNxtyZKS0Feiw9KaTls0nqORuk0DfRyCNEv0X9PBfIYHvYXnNjfCORcrad8XM5/QV0IFNRXToUeWhGShJRlNGY/HjiOu2e12/OY3X/Hu3Uc+//HPGI7GKN8XpBOBx9tWEEVjDYGvGA0HnJ6dUJUVTVVxUxywVnN2MmM6GeMry4cP73j/7VcoxLzk0eUpo9EQ5ftsdgWz6ZCzx0+4fPqCyXTGaDxhPJ1KzIMvGpGqrqjK6ki9UB6Eoc94PJIcw8HgaJRRliWtlmanqcXcpueCa20wnYbAxwtiTJBQGJ+6eXAek1wkCDpL2GpxOew6TNe5d8LSdQ112aDDlHAIhfG53pasVjsWiwN53tIZRd5aVnnL0E9QvocNE5JJijcYE1VCP9ZtRxh4eFGAUtZpBizKagLfHhHtohSdnljFb9jtdqTZgOcvX3JxeUk2HMmGxxmEyIayFYp0XbHf53zz3Tv+6m+/4maxoW0tk0nM5cUZg0EizXFr6XRNVVYc9geqqmI8GjKbTdw2SV5/3YnjZlW3vHn3gTfvPpIXNX4o+uAkjogc7VQoy7JZ9ZXCKEsSyRJnkCUkcXR0tANBx4x5cCZsm5bDYc92vWW/39E2wpEfDAYEoZSH6XTC5aNLskF6DOn9fbs+5lLIBT0sCFRJ4Iugv0diAw9CHwZxwGyUEoQ+q82W3cHy3fLAt6t3nIxTolBRtx2365y7jSGvpVEvdcWmuid09K+yao7W9RYPYyXaIr+r2LY3vFm1nIzv8AOfQ1Fyt95yv9XU2g2IuSbwBEE+Gjjg9RX7uN1WXq9plIPf70+m3uUUD6MUVgXgMsseDG3kQ43p8LWg815Tk6lWQu/LkkEQygAwGQsScdjw8e07Pr7/yOj8KWEcu0FDzMr67NOmEdRJhhGhcirnnG2MRrctauh0tmlMfijYrpcslws83+fR0ycMR2O09Riud5yc1cTZgMn0hMFwSjYYMhpPGYzGRA6VMvoD93d3lIecJIpdGHLAZ1/8iF/+6h8wnZ3SdbeMRmOCwGdxdyfDyyGnbkUL/LAr8UApjBfQeSGFVpSVxTb6+B709CKhSErd8YzGNw2+rqFr8E1N7GnmszlNXfHu3RU3d0sWyw27Q8G+arjfHHh3vWBQNAxGHVEUY/yY4fyM1MqwD3IuaTxabV32oRhT+L64V3daU5Q1uhOzprIoKHJBCs/Ozri8vOT8/IIkHdBHRxht3GzmsoR9uR9//duvJTKj6Ti/GPP556+Iw1DcCduGw37Pbid2/J7ncTKfMRqNSZOMKAjxQ8knNm3Ddr3h7dt3fLy6piwbQQKU5CqnqUQ69LIQY7QzmFBMxkNGg5TISWEecvW8I+UQK7EuWmuKIuf+/p6b62uKImc4GIgjuaPzTadTnj57xvz0jNBlzP2+Xe+3naBoaJTq8F0dUBiRFSm30A194kAMSgwimcDzuC4OvF+/IQvf41nLvulYrXesGwAfr/PI25qPmyuwhq7pKDpD20UIwUGYBbWG3Fj+3dcrvrz7NcNI0KC6bljsa5YrS8kAX8OyhbfblsjvwUMPQ4AldF2D52K+HmRGnvfwM/eIU99Teli8wJNnEjFo9GxfPV2faKDrDHOlGY3n1M09fhAwnE0ZjifgQ7XP+fDmPe/eXxOnA2anZwI0uJ5WqLJyPidxxMXlOZPxiPD2zgWij7i6uiIvcs7Of8L89AS/3lPXNfn9kg8fr2g9n5c/+pzx2QmbQ0k8TIkn0t9k4zGn52ecns2Zn86Ik0i8DFRKlZfgvaXrhP0wGGTMJoqXr15xdn4GCqJYHDSLoqTbSR/TNK0sCoMA6/o7pWQJo4IA6wVUWtE2AcaP8IKAkJAMS2h9wtaic2jajq6Tdyf0pN+KPE0TnnD2aoBnLQWWw67hfllwsynJdUDRKa7XFYdGgClLTDh9xCw7J2nMEfRpvYA6ShkMJ0ySiP12zfLuVswhnSeD7jpa9543TU1R5nR1zWQ6ZnZywmQ6k5g41/0aBwCURUFVFXRtzf1iy1//7Vdc3a9pjGKWxlxcnBGGAV3XOnqrpq5kgK+rkjAMGU2mjCczoqx3WhdzrsN+z7v3HynLht5tHOuhlD0y0MqypNMyZ/m+UH8fXZ4yn0/IHH1UuUERHO3U9XW26ygPB9arDff392w3O9pWi4+C6z2MNQyyjKfPHnN6dkoYBv/FUveDw6JNpzjpL9ZBuP3gCB6FUWx3wK7F2O64i+kbE5x+pm+CxaJYYFU8D227I5WnH0SVF7rhTPjiuMffGsuuMtysd/zVN2v5WyU2zcoL8VWE7Tx2uQeF5w5nEcKqPijRcyY2bmCgLyDHl1v+rNz37pkjwk9vCmF61qjn/sbzUF5AEoRkCQxjxThJSCKJStBas98d+O77t3z91bcYbRhPxniexZrO5duJa1Lb1HgeRFFEHAo9dzabSN4R1rlgdjx/+YLheMTi9oYP799jjOHlq2fMT+f4vmK/3fHhwzVv313RWMXPP/sZP/rJTxiNp0RRTBjFeMqj6zp8pV0jwXEj3GoRu47HIwbDAakTEBdlxf5+ye3dgv3+gAViZ3hikCLfGFBhhIoTjB9RWx+0i1xxh7jSHp7m2HR1raWpOnRX47lcsDjMiCYROsxpgxhDgE7GxCcBatjQtDV2MGarFW0jrqN4Qq1rjaXxfLQfCvXN89AorBKr8CBQBGhCZfA82WqX+U4iI5qGIIp49vIVjx4/Ic1SlC/3ZE/5tEaCeJuqIncP5eu3H/n3f/E3/PbbD+RNR+BLwPjp6dyFe3fUdcl+d6BqGpSnmM1nTKZj4jAUep2WIbFpO5qm45BXfLy6YbM9CK0XoWQFkRS3pmmc/bt1gyz4nuVkNuby4ozhICMIlDNpsA9RNwiVb3/Ys7xfsFwuqauKOBa76eFgiLUeq/WG1WLBy5fPODs7EUOmT+kOv0eX6HOcuYuxjl1gH4pw3/RjWRSaD7sDyjGAjE0xteYqz/GvS5TfR/J4eDbChpGgyVia0mBs576Wh7URygVI95vwAx7bZc1Xd+/xlNCOlf8QOO17AR0W2cl5GCuN/9EGvv/dfb+qN1ngoab1Ah0l62KwHp4VIxBlrHygi5oRl1IjA5D18D1BJJIoII0ixmlGloq7YrHbcvX6Le++f0NVtpwkGZ4K3HBijrEjrVs2NU6H4geRo8FYhoOM6WjEeDTg/PyURxdntHXBx7evub56T5IlXDx6zmg0oiqFgbFerQjijNOTMy4eP2M6PyfJRvhB4LSh1r2GAWUp7rJpmuIHIdN0wOc//ilPnr3C83wOecF2u2F3u+f65lZMbrQljEJ8P8Lqjq5rMYCvfHCoYqcVXe3RWIPYa6nj0I7n6p1VQpnHx9cBoTGkaMLQI0kzLB77YocOErKTc6IZpE1LMpqw6XzygyFoCoKgcZoonN2/L8wB5WM9g/FE/xKGAZEPkdNlt53mUOQUrpHyPZjN5symM6bTGWmWoRy607Qttu0eDCqKQjbnux1/9+XX/MX/+2/Y5jW+73N6Ouf05ERQV9OxXi3YbNZYayXfcTgiyzJxw/V8NEL1EhfogvVmzXa75ZAXtK3GD3ziMHa6oxBtNU2tabrOIZuKNAl4cnnKbDIg9D8ZDhyKaBwdCyuW/Zvdlpuba5bLBdZo5idzptMph33BdDxiv99zcXHK2dnpJ07dv3+X9cOHCu7hhi3wrIMmDHidkWmuJw31VD4PMBX9ekKomnLfeZ5DdDWUjXH9jZZ2UXlYL8SqB4qodqyID3v4sN+6p+UT+qcvFE3teTTWkrcW2t7Exn3zcOwn+x/o+E/ew0n10OfxidupPcIDWH3M2O7NVJUxmLblYpQxHAyw+R3D8ZhsNBREvGv58O6Kr3/7LWXjcf70BVGSyjlujPN1eGAh+EEgbpWex3gyIkkiJrMJeb4nCRWPnzwGqym2Wza3d9xd3+KFIT/+g59xdnHB5rCnrMW/o2s7zs5mPHn1kvnZKZPZzD1fvkRLdB1JNqAzlrysaFsBcJTv8fTpIyazmcvdVQRhRN20rDdbNtstWmviJHbxRlK3fdUbmolLd4uitD6tDtCE2E4d88c951+Nlb4DC76VnOLAQODFhCrEx+AZTaMjihCCk4DZKcQXj3lbDbClnHEC8vh0xqdzjCiLLMczY6m9kmmmUV7AcDSS2KpYeu+qKmkaocdarUniiLGLOouczs96/aAoNbE3+Kurhtu7JX/xl7/mq+/fU7XSYw2zmMlkhLGarq7R2hwzabEwGk+Yn5ySDceC1lqhd+uupq4ku/p+uaIz1oFvntzCyGK3ccCadmafvvI5PR3z4sUlk8lQ0iQcmtjPVrhFd9M07NYbFnd3rFYbqrJEqYDhaMhoPGY0sXz77dfUTceLl095/OSReHRII/ODdeOHh0WX9WWx4LtvysrDJK5j/aOmXONjwBh8rx/yesrf/4e7P32SJUuuO8Hfvbab71usb8t9qSwUiAJJkCCazeH0tMiIzPyrlBmZz90UaaF0kzNkk4WqAqoy82XmW2IP391ttzsf9Jq5RwJMfCCF3Sh7Ei82D9/sml7Vo0fPadB5EQNogrg25sARt/L9h6vbHB4bBY6SeTbtU5eSaGkFRosKXBPnxLjcxgojVNEmMDTIO7b4O3oYSzZtb9nS9ZTttB3L0ChkxtFRQll1FfQCQzfwGMQuvdAaDZcl2/2eq6s73vzwnizL6XW7hIFn5zF1Ow9VV9WR2M5B/MHRik4UC1W37mFMTRh4LOb3fP/6G7Is4aMPP+DFBy8wGB7v7vjhzRW3d3PcsM/nP/s5X/7ij+kPx7aw1WInkha2+Klk1sNx2w1BKUF0DZrbu3tZvPs9V1fXXF/fMF8sqaraDg9Lt6uyKG5pwPFDtBdSaZfCKEwFqm6yJevbVh8G0MvKIa8UeQ6qNoRoak9mcxLjkRYGXUPtROhBlwAw+x2l57LMDWuTo3TjYXRQtq3rGlUJh94YDUajXXBdmd1xgLoq2KYJqioIA5/JbMbp2TnD0ZggDK3NQIMUNh4/FVmasJjPubm+5vrmnr/++g2vf7his98DGrSi0wmJ44jMiuCsVivKoqDX7zEaDen1etK9s9QYWqVBgWhc17MU6Rptu/nSJdQtctkg51rL+z/odvn04w85O5lar0/a+6+quqXA3t/dcfX+PevVGtd1GQwHTMZjuq0inmE2m/Lqgxd88ulHMjdmB9z/Lonlv4+HwoA2OHA0p2SVQ49oIi12rWqUBc1qU1Nbmo7cyIJOWkzElWp/ZONgfVREyGNpO99S15KgOV5oqaBNl7Akr2SNuIBxNEY1IiIuRmuLUjbPu3m+ImjzBDZsADMtNaFpiktj0LWxl6nCNIo4TQaJwpQ1fp7hB4rTQZeTSUzoSHK+WSx49/0P/PDtD2zXW3w/oD8cSWJlr59GNVnUDQWA1NqV+TA1ohuHxFHAZDRgPBrQ63ZIky03V2+4fveWuBPy8oNPGIwnZOme66sb7u8fMNrl9PyS82cv6A7GeA1tsSqtrY/M6ijt4Hk+m8qw22doXeH5huvrO25ub+h0uqzWS66vxYR6s94KKh+LP2pVVex3W/ES1hon9MENKXVAZTyK2qEwjqTSzYlvgMrmMzVG+yjHA+OjlAe6oKhS9kVFioPpjvGDGN8N8Y3C8UNSr0OKQpUOqgQxIwfXKFxt0AY8p8a1Mcu1RuCep/Ec2X/zoiSrclyl6MYxs+mEyXhCZA2c67qmzOX81GVJniXsN1vpEq5WrDdrHh4f+ctf/zX3D0scxyPwpFjsdGOKMme9WnBzfYVSmtnJjNF4hO9ZYSxjRX8aJeiyYL/f4DiKKAoxRmjxrucShgFxJF6nWSrCEpVI6uJqzXDY54MXl3SiwHbWDyh7w1aqClF3XiwX3NzdsdvviPyA2WzKaDQk8H2CYMvF5Sl5mXF+OpOZcSXXZPUHGOu0liL4xzmNJFTY/EgiyBNvQruXSK7l2ChGyxhqijbZ120RKe7pNBeBvVfaGUMOvtF1E2vsw9XWr+4Qgzh6xs3X9j5/HN5+PLN49JVp/6ppfhzSTgmN8s7oSqFKw+lkTBw4uKWPH8bgeBjlcHN9zf/+739FusvpT0+Jul2MVhSW8VMUdp6yffBGaMnYjnmIH3icXZzJGEFVcnv1nvzhhu1yQWc04OVHHzA6P2Oz3rJcLLm7feTtuytU3OfTn/+cFx99KNoNYWjFp1J2mw2e54KBZJ+wsxRUada7rNcbkl1KJ47Js5yHhwdurm94nEtccxyHyHEoXTFwF1CpsXJzMGgqo6mMQ6kcylqaDRWKdtOiNTKRxogS8Ta0lo5tkVFnqRTWONROB3/ax3V9Ur/D+8Rri8J23TbhVEtsU1pTOJpNoah2OV1PMYxjfNfBULDb7Uj3wtLrdjuMpxMGgyGu57dFWnNUVvk2zzKy/Z7NasX3373lP/ynv+T3r9+RFBKzADpdsYfJslQsixLxsY3CiOnslNFkhh+K97HMShYUWUay35KlEsOqStiLDkgzy67H2hiyNJNGACJaF0Uez5+dc3E+ww98OxYje26zZquiYL/Z8nB/x+PDnP0+wXE9JtMZg9FIiuMgoK7giy8+pdO94tNPPyLuxIf1+Xf0AH66WKxKq/x7eDFAW9xoe2GBsgWO/X2L4tR2wB9bwDVFmyStyqI47fNsn2wThCzapQ5hTWSVOVz/StQKG2sLlEK3i+y44DwEih8HloOimr21kkDWJF614UnQUsjCrW2rUiFCKeOuTy9y8LRYGCRbQb3nDwscrRkOpDgQr6hS6GHKoaGDHcKXEbQizzFVhe+JnLUUroZst2G+WZPuNrx69ZKPP/+EMAh4uL/j9vaOJM34+Muv+OwXv2Ryek6NTfBNTWE997I0gbpGO1LUKhvoJXA7oBxe//CWb354Z2lgoQ2AEgRd18GzNhCO45AVpZ0bEcVM5flUOHYWFJn3rLCbMIckXDsyL+BFuMqVGVXfBVeQpJyCuqxxjEJ7Lo7nSwpfQqlgVyLghKal3TVG38ZKV5vK4BQGhwoHg4PBNeBqkcnWWhFHXWazKaenp/T6fauGetgkGwliMTXdcH97w7t377i9u2OzTdnu9jIXpTTGyOYZ+T7KGHbbLVmWUtc14/GI6XQqHpuOtUyxaJnMFAl1xfMDRp0hJyenOM7vqWuD7zmEgQ/I7FdVVu061cbgOZoPPnjOZ59+TBiGlt5Qkxc5GPESXK3W3Fxfc3tzQ1HkjEYjTk5mdLqdVo3WICIDVV1z8fySs7Oz1lj76PL8gzocCyZJ8dUgzhbgwgaARjkP+3WrwGeexJWGrtfOzWhkE22yEgtgHaPbdqgKZQyOajYDY5HpuqntAJnxNYLAtNQqoV0dWBxteGyKzfaVHgXchiaBFcrS2CQPG+B+HD+lG6RNxbTX43w2oB+51Ome+4cHvv/6a+6vbyjyQrzX3ICBnfOVGFCjMTi1eH3VjgueQVXi0et1Oug4gLokS3asKCmzLWWesFo8MBh0efnhR8zOL8nzgndv7ri9uSHsdHn50eecPX+FH3bQWhDxvNiy3+9bo/U4jjGVzAmVVrinqnOqasftv/5f+NWv/4qTkymjYZ+iENXmKAzxPZcwDNEKsjQhQdSDjfZQ2sM4PhUupdGHcYf2tBz2roaJYrS2zBeFi6ICUqUo84x1WrMuPTI3Rrl9VCCd2dpxqOyAt6rlfDlaC+BlJJHRRkTZPC3r0nVtDLNgUW1KTFkQuC7j0YCT6YThYEAYBBYEMpaiJPt7VZYkuy03V1fc3twwf5yTZil5WUm8MzVVlaODiMloCKZiMV/x+HCP0prz80vG47EwWVSTI9QYLLBXid+vVoqLiwuWizWvv3tDnm2tkmaPbiemsgDXPs2pAe1IR/uTD17w8vIMzwEaKwVB9qhq8RDbbNYsl3NWqxVaO5ydnDGdjul1ZVTDGAjjkovLM8LI5+L5Oa4VCDP1ISH7gzrUcZrMj0B6+e+wZpsIZY5YYvIb026PIhJ4GPNo7ki1tmsNZC8PJwWnsrHzUEIedQU5FG7tEzPHM4lN0XdUTpin8eroBbYBsLXZOH4P2r+Tn9T24XRVETkO52cTtCrFHsf30Mrh/vqW/++/+d9wTcWXn33Ed/MtnueBUi2QW5uDtUdtmu/lMTzPJQgD8cbVLkWZcXt9Tc8tCeqa0XhEfzJiMBqR7BOW8wXr+YrdPuHVxx/xJ//iX/D8+QuUEsX2h+urVkAq8H0++vgjiiyXwjDNqA1MplMC3+N/+p//F/7N//rv+PTjD7m4mLHb71ivt7b7qA4qwipvfcbF91voqCJxKR81ilrZvawFGdST86aUvLOOkuLIrxwBpBIR0Kn9Hm4Y4QRdHM+XfcGCbFIrSCOpOtpkS1VT6pqiNKSmJKEg9RUqhijw8eoEgDjwGJxMOTs/p9vttZ3RtkIxjYKp+GTPHx549/4d33z9Ld+/ueL+cUVR1QhLpG7VSg0Vu/2WLJXcajw54fTkjE5ngPZcW1fIqFKWiJhRnu4Bn5PzZ5w/e87twxJH1biOa8HU2o6jWasSU4Ny6PViXry4pD/oWYFCWfWVBQWzNGUxn/Nwd8dmtQbtMjs9Y3pyQrfXx/XcthufJxlnF+eMJxNOTqeSHxhh/DTjg/+54yeLRSkijk5+C/zIBnS4+Ju/UDY5OSp71FFdh01ezCERM0e/PAQw1SY5x7mNrQWxJbfczrZvlVaHICL68YfnelToHsUNnqhnIXj/IWzJQjpisMrzUPrwnLQWSXJlGMY+g9jHdWqqCna7lIfHBdvdjjgKiDsxD/eiMKjUIWg5joNGWSqhap+vwRbfbfJnKPOM2vpzYSouLs+5OD0hCCOW8zmvv3nNmx/eMprMePXRxwyGI3b7lLwo0GCDgHDPwyhCIUbNpYEkL9inIpHtOA61UeyzQgayi4JOfE7U6VBvdxTW7NsPfNtdPpw37bgo16dWLpVFoFoRH3VQp2qSZY1COx6e6+Mbg+uIyqsyhhqNG9iZPMdFux64ImGvPDl3ygnQridJvt2AGtSybpJ2jKUNN8FbknKNwXc0UdBhNJRuXxD61KZCVRLYjV1DdSXU0+ViLgIYNzds1muiIKAT98hLePf+ln2SU1RGFDVDi5RXJZ7v0e3EjMYj4kjUHRu1tGYtNhYWWZ7h+CHjyYSvfvYFv/rLX7Nab+h1O0RRQJqk1JbW1ybyZcVoNOXTTz5iMOgBQvGqq5qyENGkh4dHbm7u2O22BGHAi5cvmMymNlkUZoB4k1akNsk+OT0lDEOh22HsjOof3syiqEeCqjlCRg9lljra9A7rSP62fhKkDglNQ5zQR/FONffWbLDtYQBtwXndxijxtLQU1aYwNdh4gRSeTXHXhAvV3N/hWjv8xD5a+7dNEWsBFg1GK0tdPXjk1drGrKomdhWnwy6DyCcvUjaPj7x5/Zr53R29bsxg6HF9+4gJunR6PREeQeHWhlKDoxwKJR6OeV0LRTuXeSTX9ykzmfFOtisY9wgDl/F4JBSi/oAiTXn9zTf85i9/hVGan/3xp0xPz0RIYrPC83y0I6JpWZZaWwlRVk3TjOVqxS5JAaedg8uLnMfFnPnjPf/gH/yCKArJXAffWk80dhnt3lBVGOWC61M7AQUuZS0Kk7WNd6rGns/jTFziVI3CKKhxKZUhrWty45G4PfLQIXc74MUoHUiMNQqnlr3HkTOCU4OjDW4NlRL6sIM8nmcBhBpR8lZ1jTIlgesyGQ04nU0OPotaAK6G2VJbhH2zWnL7/j3v3rxls1qhHYeT2ZTSGL754Z2d8YI4DggjX+Tlt2vCMOL8/IL+cCwJtGliby3SvMbiENaSxvMDeoMJr7Ka6N/9B7I0YzoZcno6o6prlpstWSYgJ0pAjMnpjC8+/ZBhv4NWxsrhN3NihWXD7Nhut1RlwXAwZDAcMuj3hQqolahZG5mfjTsxw9GA4WgIGKoio67EO/AP7airsgWq2uOYw/u0lLSYVzP/2eR/h1tjEDDYCNB+TINv7+Mod2ypc+ZpTHpS5qnDbZ78tikSmw7ncVXbxrxDnD68AA6Pe3iAo6/Uk3zTGAVlQX8Q0Ys9imxP4Lq42uHh9pH/8G//Lb3Q5R/94z/j7uaW9ZsEP+pY4L9hp7iAoSpVm4y3e6wRb+b544L9PkGZmmk/pNeL0IWDKgpAsVlvWK22XF/fslzu6E0m/OJPfkmv1+Xx/o4yTUmThLquCYOQ09MTUdnXDu/eX/HwuGC/TzFAmmbc3T3w9bdvyLKcu9s5f/EXv2Q4HBzOv/UodRzHzgbLm9z4/SrLYKkt1bTZ+xpqb5ujH50z0/xeyTvia4Oja2pHGGO5J1Y3xg8lx3uiYtwsyWbDtUUkEpNrJefKKKwGQyl0WF0RRRGz0yln5xd0Op3W7xasw7YF2cqyYLfd8v7dO77+/TdcXd9ggGfPnhHGHTbfvCFNMxQGz3PpxKGM82jodnoMRxOG4xMCP2jrg9pUlEVuC0XxiazKGtcLGI9n/KM/+6d89+Y96WpBv99ju92S5wL+N7P9Cuk6TiYDTk6mljarWjZZXdeku4T7u1vmD3PKsmQ0njI9PWc0HuP6fltwmbpqLVuUgsl0LBZfNh7LPP9PB7ufLBaLJ8UiNtlXR103DhlRc+E9jTPo9pL98cCx+Zu/O6r4j8H4tsLkKDq0C+iAZB2jUnBIxJun2cYeY6wdu2lysOYOhSbWFMJKnoSyiZTWR3x5JUmdoypiDyY9j8hXmKpku025v5+z2SREYUSv2xFFpcdHfMcjiqWLozwxC61r2kVQlZWV4m1QN2PNg3OSZIunFf1eh7gXEwUeYHj//oZvf/8137/+FuqK8xcdalNx/3BHXooRcl2JKEKn2yPudAmCEKU1dZ6x3SWsNzu2uwSlHcbjLv1eF73fU9WG58+f8dFHH7LZbNhudoJi+wrPlccv7eKujXQKxb7CsR+H2c6mUGxovsYoqAxKyTrTWmFqjakk7IgZ7GGNNJ3cujYHUSJzOF/Kbmq1sXN8NnGXDqYd4tc1rjZ4ToXvKTpBQL8b0+918D1NXeZU1DZh18I3t8pSj48P3F5fs1mvqKuK2WxKv98jirrEvQFff/uGx+VWDNwDl7gbEkUhvV6XMPCJ41g6FFaIwaCE1mo924qiEBGP5Ro36BBGXT7/4kv+9E9/yV/++tcMh308zxUFVNN4hFpxEFdzejrj5GQKpiLPbCe5KNjvd6xXa9arFY6Gi4vzFnXSVrHRmIqqlEBVliXz+SNZum9VV5tCsToqUP+QjqIsDkVim0c9BZq0ehrDmgJLii1ZswZjgY4DpZ2attBsttQ2MWmSnwZJa1EyESjRpkFtD+mPUNfteTDH56LZruXr41D59P+jcIoVqFJNo1HZZKAB4rBIpqYsc7yqZNT1mfVjqEoeH+a8+fob5nf3jCYjzs7PSdKMm8cV8XBI1Okitg62ELb089r6dhljyPOCJEnQoU8n9FtAqDaiqD0Y9qQTWRWsl3Nubm759a/+kvl8wfMPPqLbG1LkBZvNgqzICYKAMIpxvUAkxrt9gqiLqSvW6w2r1ZqiKAlCj7gTYepaPAyV4tmzZ3z44UcCCt3cWnXIZvbGWPYCFu1W4PiUyqMwDo1EF2DZKdiCSklh3p6ApjivqZWiVg6V8ijdCBN5aBXg6IhauzSsGoUodzfnV+PYhNxQq8brUejojguuB06DaxqDoSbyXSbDASeTMd1O10quawsqCf29LIR1Mn945P27dzze3VHkOZPJhOnJjP6gx2qzJQx+i+95dFyXQb8rdP7tRhK02QmTyQmO6wu9sK7bPU01HfBaKK673R7Xi+kPxnz2+YgPPvr3fG9+x/Nnl/QGfW7vHkjTnKKwRvFaBB8uz0+5ODuxvrkllZWtz7KMLM/I8oKqKul0YnrdLr1uV5ScrRepFJQixLPf7dBa0+v3RDisrimz/Mk19Id05HlxnCZZIOww73zI1Y6IqkdvhE2LnhSMqtmPOADuT4/jHqCNhE+6T09uerhv86Pdxl4/BoQ5dPQkjotD0xQbP/p5+3ybx7XP2DR5LljGF6i6IvYUpshwfUPgeNy+u+LX//FXDGOPX/7xFzg4XF9fUeuAoNMDrGWDbtR5HYo8J8tq6iojSzM2mw37XYIfBqRpSpqmnJ9MmUzG+DqjLIQWuXlcsNnuuLlfsFpviTo9Ts5OKYqc13/9O9IsI9AOZ5eXnJxaKzZHRo32uz03tw9CQc0LqrpkvVljTMXJdIDruvzRz7/kZ19+ynYrok91bfB862t7lOvXlnGjHQejhGJfWaXYtmV03J1+gjcczrvCSCdN1biOwQQulQMmCHA8j0q7mOP9sVlN6ni9mPZrx9GEnsPAM/T8DqFjiM0OraAXOJyen3N2ekIUiX+gjM/UbQ0g9hQZi8dHvn39Pd9/9xpjHD7//HOeP39G2In5zW9+y/fvb9lu14BD4Ht04pDA8+kPugxHUzrdHo7jteu5MsKYyNId+92GZL8hSzOqWqGcHn7Q44//5AN+9dvf8dt//7/y7MVz3rx5QzbP7P5u2ufoey6TyZBOJ27F6IwRb9zdbsv87tBNPrt8xmx2QtDp4ljhG1H/FVu0+/t77q5v8X0f3/cpS+kai71LSfVf0lmsq+qo+rMJv2ouL/uz9kI8+vmPkQV7k6fF4mFDbReCai5WDvx5+6YdMqsjKKlNtA5/S9PFelIoNkGiKQ7NAfH40e0a5cNmXdYI9VNZRBNl1QSVkg3QFPiRJvY1lDm7bMP8ccV2uyeMIoaDHoHvsViu2Wc5g9GUuNeTql9LS7nG0hSsemue5RRFQVGUuFqEVeqyQGFk8+t1oa5YzJesVytu7x55uL/H80V9czqbydtVVzhKPNjSNGG1WHB/f0cYxvQGA/qDIVma8nB/z363xxjDdDLiZ19+yXg04O3792y2Oy7OTxkO+qyWS/HdgdY0vixLqkq4+TWA44qUvHIwSnTGJJE+GkJvOyTGDsDbBEjLnELtyHNuBGUaCKE2pqUYNbOVVS2Fv7LoNbZQbFUI21UpQdx1NJ5TE3gOnVAz6Eb0OiGh70lhXuaUZQ42GFZlRZKkLBaPPN4/UOQ53W6Xbq9Lv9fHtx6hJ4VhPB7y9uoeaghCn0G/R7/fZzDoE1qVMkeLxGYzU1nVNWVRsdunLBZL5g9z1tsds4uXhHGP/mjKv/wf/gf6gwHpfst6vWK5WFlhmwOdOwwjptMxvudQ5CJ5nReFNdXNqKqSwXBEt9ej1x8QRjEo6ylkKqpC7quqDUmSsVyuxIDe9wSsqKULXZTl38wD/gCOwhrGqycB7Di5MW3hdBRqfpR0/SglapY7lioMYqnQgFvtJtjgXY2MlvxV/QR4s1WKErq6btHXuo2DhxXPj4rIw6s53I4WTBGCjWoBF2VknrwZAdCOpjaaqizoOzXnox6xq9gsF9xdXzGfz+mPRjz/8BVxt8P23RWlgf5whB+GlA0F0TSzs1WrElg23qx5jglcuUZdB9/3CX1FZEUbkl3Cbr1gu1lzc3NHXZWcnJ7w8sMP6Y/G4nGoXZxE5M632zVFWRH4IcPJjMn0BIXi4eGONE1xXIfPP/uUjz/5mNoYHh8eWa83XDx7zvnFBfP5nDTN0MrOY2FnOZuiu26EMOy1fPjNoeBvb18/ARWas6S0ski0zPTg+BjXozbi1QjaztQfn125b7FyUs0JkzCrDY4Hngeea3CcypqZG6LAYzbqMxuP6fe6IlahdItSl3lOmibsN2sWjw/c3T2w36cMhyOGwwGjyZi408HUNcvNjrwocBxN5Dh0O8JScT2Pk5MzhsMJnhfY+E+7v1VVRZln7DZL5vf3rFcLaqP58NOfM56dE4QR/+Jf/kv+t8Dl2eWpeL9eXcteWJVUtQjoRWGPy4tzgsBrZ8ib2JTbjkwnjgmjUNgYYdiqpAp9X9ZbnotA2XK1EPaEK/GwKgqKPLWjG08uwj+IoyzKo7glcUgrLKBjC0fTAPjQBLcGm38CzDcFmc25WlVmc1izbShq45y2halVrm1nttqA+TfyyB/vOcddwqYobMvCZlygKRSPbnsoGH/Mgju8HxjxE/co6HsVvinxleLh6ppvfv8Ns0GHLz7/kG7s8MPbOY+rPZ3ROUHUk8fV+uBLjqGqlO14l2KZlGQUZUXkuCgtrIfTsxm+51AmOaYoSXY7Fg9z5oslJQ6DYZ/z58/4+IvPGM1OKaqK+eOct6+/4y//069E+M51GY1HfPHllyhgtdpQlBVlXXF2NuVP//RPGPRD7u7vMZXh/PwM33faTqdyrICe61BXNj+zeYao4TuUSnQ2ZKDHqtDaXOwoSz96V409nyIm6KgKV9WgLWtGaevb6BzW0JPz/ATxPFoOxiprGyteU1PXJYacuBtzeTlldnKCFwT2fmRms64POWeWJtzd3vLd6++YL1ecX1zw0UefMplN8VyPrCgYjUYCmNsNPI4CxqMBo9GI4XhCGHesQKTE5dqUVEVhgbA1m82S/XbDdrvDcWNOzj+lN5wwmpzw5//sn7O4ectHn3xKlmUsFwt5/Y1tA4Yo9JmMh3i+qFk3IwLZbs/iUfao8XTGZDKlOxzieT6NDgIYlLWzWy9XXL17T7pLmJ2ciI1QXgCND2hBXZf81PGTxWJli8WD5PBhE3yaittZtycn2P606e60xV2zWTblWlMLHpInoxtE70fZGDRwUnv/h435gMAfgxytUM5R8PrJbNfQqiM1C71GEr0aKVa00tKGrnIit2IYRPiUJNuEYrshz3MGgyH90YDAFynx1WbHLsk5fznCDyLpwtUGoyqqSswzZUA5Z7VcsU8SNNCJfHwtXl1xHNPvdvAch/lqybsf3pAmCa7j8PLFJZPxiE6vgx+EKGOJAo5Lbc3F1+sVy+WKLE2JOh0uLi4pyorHh3u0gsl4yFc/+4LPP/uUuq6YL+dU1sNPkJKUZhbG930c17NCFTVlZTBotOOC42KUblEhjWopALIRHZAToXrKOtFKXqdj5xwapLPpujQYgOFwgqXItkW+5bY3aFizapwWjQKtDJ6GyHfoxQHdTkQUBdI9UEcFXFmQ5gW77Y7VckWy2+H5HpPJmG6vhx8EuJ4nXYm8AGNkYD0MoDR0Ox2Ggz5xJDLHge+1yowiNFNbe4yM9WrN/f0jy9WaIi8J4x6TySlR1EEpxQcffIjnOrx/95Zvvv49795dyXxjVVObGs/R9Hs9JuMRUJOmqShO5uKl5vs+YTQg7nQl+fZ8GtTcIMGpaqxrcpF2zrJM+O6uyENneUayF88h3/P+89fP39OjoWMcV4Dq6H/5yio6N8nT8e2OikWOvj8UmVYiplZPEq4DztVmUm1EPSZ1mLbQsI+imlv+qEhsf/D0N8d9zSbJe1LPHNWYzc+MQWZ30aT7PVGZ89Fpj2f9gDrZsNmvyHY7xpMxF89f0J+MSZOM+8clpVH0BiNRXS7KdkMqC+mg54XQCtNURALEu1DWs1IQhj6hr6nKnOXDkuX8nnS7wfE0J7MJJ2enRN0h0/PnMk/rBARRjB/4XO133NxcM58vKIuSMIr5+OPPCMOY66sr6qpmNBrxs5//jM8//5w0y3n9zbdk2XeUec5mtWK72WBMLYJSnmvBmYMasjG088mVMXbO6bAonhBymtOrpDhUChwFjmNwlcFRzaxXAwBIAaq0sR3pJn7pI4ChEdAx9r4NjiPdRK1rHCXx36Em8DTjQY/ZZEy/25XrV0kC1ew7yW7P4vGe+f0du+0O13F58eI5o+lMbHRcAY32uy3bzY4sy9COgxf4RGFA4PsM+gMGgxFBGNqZ77rtCFdlQZGJ9cn7t99zc3VFVZTMTi8ZTWZ0+iMc1+OX//AfU5UZRb7n7ubG7i+lte+QBHEw6DEZD9EKq6xbSLJjrHBIGBJFUiyKFL01zm6Kyjy3Nkk75otHVqsVgX8ChtZTOE0SyrLA0T/tPfb38ais6IqsTTvCo7X0iYy1mztK/p/0C44ruDYXtHlSU1w0YLClbbcxpb0GxMIHfaTC+t+0Jv9x8LYvRon1mzYVfd/w+cUJP385YODv2T7ccvv2B56dTXj+8pLAc1guHnl3s2BfOlw+f44XxbK31zWlEQE0sWHYsdtuxUIGCHyPII4Yj8a4u51Y0HUiinRDvd2SLZfM7+/YJ3tmJ1MmpzNqpehPpkRRQFWLuX2y31MWuVUzz9uwv9+njMdj3r69oigrTk+n/D//H/83vvzyUx4f7kj3WxaLNQ/3D1RlRZaXGAOu41rFZ4e6LltgrzaiPqy1qN5XKCqlLWusfff+1tpewUFATRlcVeEo8bdECzhTKweFFEKqbva9Hy2ItqvYABUyt61o7OxqfAcmgz6XF+dMJgM8KzpXHeeFlcTx3W7H9fsr3rx9i6Md/ugXv+DFs2f4YWxzs9oWUBWuq+18uGLQ7wijbDAkjGIpFMHGpoqyzEizPZvNktXykc16yW67J7WzgtPZOWEo/rJf/fyPuH33z+j3uzx/seS719/aglaer9aGXr/DYNjHcSyQVZakacp2tQIDJ6dnDEcjfPtcDtv+odgvspzVYsHWihkaU1PkBZUuLKOkpLJ2Gj91/HSxWJf2pBwl+lpboatj7KDFEH60XMzfuE0TPFpj+watMjZwKSWbpV0wzcJoNl0JLofHU41EkuUHNbcUNP84YTJHRe7RfdsrTDqKDQnrKC8zpi1atKNEhQmFqQr6ocPPnk/49DSmW2+o9mKOPBgO6Q4GeIEvKoG7hNv7OXkFvdEY5bgWDbWJU17Yz4J4rlYr1usNcRSKwbfv4nvuwYPF0oSKIufsdMZ4PMT3hbpVFCWb7Y5dVuIGKRWa9XrD3e0988WCPM9RiAz8diso/XKxwPVcZtMJZ6cnGFNxd3/PfL4UldaqbpEmR2m0q/EshRalxVcIwHEOKBEiM0xtRMOHw/nVT0zdNU0V2BSLjVdnaVHvQ5g4XkfyA2OHgmkpMBZxsjfTNkmX5yIiEIHn0I2kUAzDEM91reGz0GmrSgquxWrDciHvwWA4YjwZE0URytE0VOyyEiGF9WZNXdfEUYBfGYaDLv1+B88aRTuOI+vGdj7LsmKz2XJ3/8Dd3T27XUIYxYynM4bjqR1GFzEbx1FMpzPyPOXm5lqKTmO7qgZ8z2Ew6NPrCfIv3cqS2kAYhcRxxybSQYuCGfumNJ53Qj9L2W43LJZLyqpi1O+jHU2e56yWS7abDY7j4gz6PxU2/l4eVSl03iahgYZ2flQc/o0CT46GDtp0aeBob+OwLg+S7wBPO4vH7contePfiKoWET+6q5bm2fxh+/dHhe5RLG1+b+zmcOiA2k7X0d8Z7VJUNXWy408+PuX/+tVz9PqK7fwGk+0JQ5/x9JzBeERZG+7vH3nz9hrlBkS9Hlmek6Q5+31ClqYCYJQlpZ2nzfOCNEupbdFSlSVa1XLdaMN+s2Yzv2M9v0dpxcnFGYPRlFqL31eS7NkmOUUFSZaxWCy4vb1mtVzaAtSQ5xnLxZzd7j33t3fUtXhMDXpdFHB/e8MPr19zc3VNVVSMx2MwtYAsNj4UhUiZHwsBKMeVuZ0aaqv2fQyuNmML6nj/tF0c1wFPg6crHFNjKlqQq6HpH46jbJ1m3lU32+ePmsiCJmMqHFXhu4pBJ2Q87NHpxOIpppUkCXku6n9pxuP9Aw/3t5RlwXgyYXZySrc/wAtjEQwqxFM22SfCMMkLXK3wXRHdGg4HjMZjUbV13ZYNUxQ5RZZSZDtWiwdurt7xcH8HwHQ24/zyGb3+EGM0RWnoDSd88vmXXL/7gdVyjUJRFpUkUEqEQcajIXEU2jWTUxYixhWEog0QRzF+EOJ6nh1tqO3aqtp9NrWeupvNljRJ5HnmQgNL7RyYqWqU/9+0ivlvcjRMngYuEoMxG2ns/GoDL7X//zh5N0/jXlMctt0ocxQTafI2iVtai3KtMrV01O0Nmhzs+PZPlv7RYx9hYYffm6fAGKphR7TtCnsd2lfd5pgNqqNx64o4dPnvv7rgH//sOV2zJLtd8bCec3o64fLyGdpT7Dc77u5WfPf2ltqLOb+8RDmauipJs4zddkORCaOnyDJ2u514yhY5eV4wGE/EZ7uq0IGPpxWb7YbN9S3rxwcUNZ9++RmXzy9I0pT5csN2u2H5l79ik6TkRU1R1qxWYt2VZSW7/Z7tbkvc6fP27RXvr27QWvH555/w6uVz9tsNjw9zirxAoaxNREaSCosNx8fR1uXA1O11o5BCUgAgZemnh33iGHT82+r+JpUWT0uRxcHUVEbEvWojsayua+lsmwYYPYAM8knOndagtYvvGMLQZRAHnPV9TocRp8OAThyjtFB5j5mD2LW53+744fvvubu94/TklFcffcRgMERBy1orKxnfWS0X1FWF50jeO5kMGE8mB9EYe/e1EapnkqxZr+YsVw/Wt1rE3saTHrOTMxzXE5sj7dDv9/mTf/iP+e67bzk7P6Pb7bFZrts5ac/RjEcDup0OGENVCL012e3QyuHkdEq3L+quTTdRHYE3orUhTYPUNnpQFhDLUnnelaiS13X9d1oF/bQaavugdftkMPVR4PipQPojhN1w1FK29CmL0B6Xmu0SaXwSGxrQ0WbbvCk/fvzDurD3aAuIFmg/CnwNN78ZyG7utFnUh4JRNnfH0XhWLTLPcqhyXpyN+IdfvWIWVmTzgqT2UYEmiiM836dSil1S8P2bW95e3RF2ekRRDAiFdb/fs16tyQvx3WsMqVt7AmNwHQfXtV6RSOt8tVyRJntOT2dcXpzh+S5pkrJartjuU7ZJwS6ryMuaXZrbDTEFJajWyekJn3z6KVVV8dvf/o7tdkcYhSitSJId682KN2/f8/jwyHgsXlT9wYBOp4Pni0eTbhIfxw49Kw04GG0/jt//2gD1wVPmyXut2/faUQrHCnZUZd2ew6bTa47Pd/OzZnPi0LE8BAjVrifhy0PkaXqRR68TEIcBnuuClsKrsMlE0r6Xe3zPZ3I+YTgeS4u/pQuLyXOeZSzmC96/u2K/2+M6Dn7gMhsPGfZ7Nqg0iaC8prIoubt/4P379zw+LDDAeDzh4tkzazXgEsYy29gkjp7n0+106ff7eNa3z9hFr5Wi0+lYuxNZ8crR+I5DFHfsjGxgxVKsmBKm7SxkNjna73esl0uWFlQwxpDs93YeTGipo9GQXn/wn7/s/54ejQpsQ4s6bExNEUajBs+TLKVZc/UhaWrWfDO/KMHPWvP8qNpUx/8pDt0j1aY3TzKnJkoquQjtk6jRRh/+Vh8lf9B6MjVfN3dqrA9WU8Ma2YVb/8hGyCDNMiaRxz//48/4xasJ3/3mlnWV42g4OT2lP+hR1Yb1Ys3Xv3/Nzd2clx9/ih/FpIUUgaUtNvIsk0KiEZbJC1sgSvwuK6Heu44CU5HsN+y3a7QyDEdDRqMhytXsNluKGmq9Y77c8/b6jtu7B5JkD4DnasLQFy+uocx8fPPNd2y3O0Cormmy580Pr/lP/+lXvPvhHdPpCV9++QVnFxc8Pj6ieLRrw8HUrnQKcgGTlNZiN2TTn+ZabBIdOc1PC8UGgWyuUYMAXaURUSnZtO2OdThNfyvIfgA9ObrfAzirlcFT0Aldhr2ITuTLDKMS1DxPU7I0Yb/Z8fjwwOPjAtf1eP7qQ07Pzul0e2jHpayEoprnOeluz3Ix5/FxbtWZXVxXMxgMOD0/J4pjjDLWl1GonOl+x26zZL16ZPF4T5qkTKYnTGdnDCdT/LCH43pgahxHQLvBaMxyMWd2ckK316V6+14SKKXxfZ/hoI+jFWWRi2ptWRAEAXGnQ6/bJQhD6QgqZbsEjZVBZpP1lDxNSfZ7kt2ePLMFZCqjGLmdV/SDgDCMfjJu/H08niTQGOq6qbxkj2wVn2lW6/HcWXMfh8/G+tBKZ9G0sVBizOHvmrrtwCbicM1wKEwPtz9e6H/L0RSIRx2upo3Z7PwHNX8OPoAtkNPkVZYFpxR+UXIx6/Pnv3jFSd8lX9bss5QgCjg9PcHxPfIsYf645Otv3/LD+1teffw5nW6nTc7TNGW321Pl2SE5Lwp2u0TGQpIEozRhGLLbbRkP+lAWzO/u2dzf0+kEfPHlZ5y/esZyOef91Q2rzV7M6B0Xxw9Jsoq37264uluSZxme5+F5Dp988gl//hd/wb/6V/+K/T5jPOqjqPnrv/odeZaw3W1J9ilRHLcq6N+/vaEyNW4D5Nv3vVF11Upb4/qm1LPiNkYdWNoGyaWNsmJH9n1vY5e1pbK7Sl3XFLWmtCwKakOta3Rj5dSUoPb8tevnaN+sjSHPSzZVhl9C3+tT9VyqqoBa2VEkY0EK2WC26w1f//73ZFnGz776iovnL9qivapFIbssC9Jkx+LxgdubW/IsE3snX3NidSq0nbeXDqyhKLZsNmtWyzs2mxVJusNxfCbTEXGnj+8GRHFEWRa4VrNCKcV4csL7qyu80YjpbMZyvkBb1VnPcxiNhnieR1WWlCaX4tNx6I8ndHs9lOPSCA42ua9ckzZPLYvW/gSgtp6QWIX1RiTRdd2nNhp/y/GTxeITJdSnvziskB//zU8+XIM2YYNKM3d1dF9H9Chl3zSjpZBqfKWUFeXAJnMcBYsDzaotE3+EQD0tDNskzb5OdXQTmsWpldAqlVwcZVXhGMO4HzOIPFxTUjkOURSiEUNhA2y3CV+/fsdv/vpbFqs9L0Yz8bAzxs7tSOtXIa/T94QCMBz0KYucyFJ8XNcBA0WZs98mbLcbev0uZ2cyvFuUOUmSstnuWO9SFpuUu8WG1WZPkoppqKPFqNTzAybTKadnZ3z77Xes1hsqKzxQVRWLxZIkTdntdnQ6HT759FNevHhBDVY0wrfccNN2JuS8aDHm1Y5sBrWADI1KmogmG4zRYpWhhP6im3OKtheJkqTMLvjG9Lc5kYeC0YpyGCjrqjUeP16BCpnFMlpeX+RrerFHL/aJQw/PlaBUFeIrlqQZ2+2OzWZLVVX0+gOm0wmduCOUCUwLbiigKgs22y0/vHnH77/9nvlyQ1UZer2I05MZ/V6MVs2MiMwtrNdbrq6uxeIkyYjiiMvLSy6ePaPb61GUFVlRo5RztB5lfTuuy3g0YjQc8O7dFU0LVSlFHNkOqVIoR5I4z/cJwhjPazqKdmNHZLyLws4p7XYk+y3rlVBT5o/zdq4l2e9xPYdup8PJ6SmD4RDPD37yKv/7ePhhQFuEHSLDk82pSahsZXB4P60qG9CyJtqESfT3nyRNTZHXglbtklWWengEkLUAbhPXjuJW+1fYuNnAnLQq1AcLD7vh1qaN60eh0D4PeTDdFqWSFOi65HQYcTKMyLMtUDMc9Al9lyCIqMqa3W7PzdUtb95ds88rvLgD2kXVlQAovi/opbW1qI0UXZ5X4vtiS+EHHgZNXZcoB0xVkqUJruczPp1xfnmBG/jM5yv2+4RaueyLjB/e3fDD2yvWm61098MAHYkps6MU49GQsiy5en9Dsk/o9TqEnsvi4Z77+zsebu/49NNP+PN/9hc8e/GKJEkJgoDaKsgJLd60FPK6Bsf1cf2A2vr6yty0dPSa91io8PVhH1ENWGbjoq6pTIlrSkxVWDVPMLjyexvjDnubhY6O1kDTgxRl1cPIh6sg9DW90CPyXbSqqcucvC4pi4L9bsdmvWb5uGS/3zMZT7h48ZLJTNS1lXaoyhJTpJRpSrbbslkvub254eb2lrIscbRD5PtcnJ8xm05xHJlrLYucPE3Ikh3LxwcW8wf2+y2u4/L8+StOLy7p9IaUNeRlE99rscQCykpEKKazGZeXz/j919+SFBmO69CJQsJQ9qCycqiNwfM8er2eeBiHoVCtoGXvlGVB0RSwhVCeizxntVjycHdPbQzdbgfPcXEchef59Hp9orhr2R1/WEdjY9KGuqOk7YBLNWDk0c/auNCA8fL1oZvY/rC9s+N88MB0MGALRt3khE+fRpvcy3P8cVbZFJWH+zu+XTMWBcf3qdo41yTjzUf7mAZ8VfLidMSo46LyhDLdU1Ul/b6IwaVpwmq+4Ntv3/Lt9zds0xztBxR1jUaJSIgxBL5HreV5aK3o0iEMI8pqSJ5lxFb3oKIm8Fzu3r9jcX/L5dmUz776jOGoz/xxztfffMP9/YqihsJo9qVhtUu4uVuy2e4pSwgCj36vx+xkxGeff8ZivuC7735AO1JwbDdrvnudUhYFZVUwHo354IOXnF9c4Po+y3WC414f/PuseJqxwHjgBzieTwXiiYhju4vtUjgqFJu1Im++scX8YYTDaiMYQ2UUtbKNhrYhwGG/UnJm/7aawth1Z6qa2uSoWuMgQFWayvk9AAeQZxl3d3e8+f4NnW6PX/7pP2Qym9kuYkXjcVxamvp2u+b65oab2zvyXBiWcSfk/PyUIAjlNVQldV2SJgmr1Q2r5YIkWVIb6HR6jMdn9Lp9lNaUhYweiTCP014mYomn8IOYFy9f8cN331PmOUpDFPr0uh2UkddFbXA9n36vTxj3JN9+okxvtU8qEcksi4I8y8jTjDSVz9rRNnct0Y7GcR3iTofhaESn2/lb3unD8ZPFoufZaS9zSKLkgjsOGRxEAWku4UNyclSyHXIemwwZ7YDRbQBSR7fRSqMcbX0aG9Rco51GcICjv2o20UMAMTSTP0fP9IgScfja3t40ggUg/pDyO6NA1djWvKF2NKYsMEXKfrNmOY8wXgFVIZ1BBVUNm/WG79/d8PbtFWma43o+rutTlhVuWQGaIIzQ2rGqnxVaa1w8hqMBWit8VxMFHgqZt8jKElPV9Pt9hsM+YRRRlCWb7Z7HxZLVZsc+K9nuExarLatNQlEUKAWe6xLHEcPBgH6vx2K55PV335HnBa7ripKWUuRFget5fPThh7x48ZLnL18ShgGr1Zqqanz9jlSZaqs+ahAlVO1gbKJUm0qSZy3S7U3noqHEHaN8WmtRQtVgammdN7MVh6SoAS+skan91pjGMrw9/favVCs8EbiKbujRjTxRPTViUG1MQVVVpGnGerNls93hOC7j6YTRaExgiwhjqgPdxtSWtpQzny/55vUbfnh7wz4rUdqh1+1yejIhtDTkys4CPtw/8ObNe/b7hE4n5vSVeOGMJ2N8O4idpimV0ZZ/rqXQsOu5rmuGwwEfvHrJd9/9wGq5xHU1YeASWP9FY6So9DwPPwitjYAU5M1MSV2LSmqa7FmvlqyXkjAulytu7+5ZzJet2JJSmovLc84uLhiMRriu9yO7lD+Mo8hFGKNJKOSzPhRtNMXjAS1oAA+w8czUGMdgai1dZHttNBTpg8cXNLNrzTUg9ZtlUmjdXhcH+ijtAj+qLQ8Jm1ItzeswL2TL2/ro79rHOnxuuqkH6r88bk1NmSZEumIcuVx9/zVbneJUqfiEKkVRlORpymq15uFxzmafUisHzw+PiiOF73lopSl9uzE3m2Uls7KmFucuqlJo7XaD1FoznE44Oz8n6na4v3/k+zdXPMzXbLOS+/mKh8WG9XaPUkro+kEg3rCdmIvzSz77/Ev+43/8NQ8PD2ilpeDwXZbzR1bLFS9fvuS/++f/HS9evqIoaoqyaC2GSss2cLS2ZvLiEegHAX4QkTqWmmU7LMqUzQk+Ys3QzmyL5FctMJYqxfvQVBZQAGW0qJq2e9GRHkCTnTXZ2HGn0gj9vq5lqihwajqBQ+Q7ImBUluRVRVGU7Hc7ofeu19S14eLZJeeXH9AbDPECOW9lUZBmGVmakGYJm/WKx4cH3r59z/XtA7skA6UYT8a8evWKKBJT8DJL2e+2JLsNm/WS9eKRsizp9YfMTs6YnpwRd3rUlSFJd1SlOigyW1spx/pgdjsdPv38c379278iefueIHSJ4wDHAfHHdfH9kCiK6HZF4dtxpaNY2yJRZhQz8iy1H2IFtd3uef/+lndXd/ieSxx30Mqh1+vS74vKYdTp4ug/vFin7axYE0gUyqqF21zKYlzqqGBsPh2KskNn8MCoOALX2tj0YyaRsqrk9nMTX58AWEcl3pO9xrTF66GzaThcKUdP9kmH4On1Y2p1aFjoY6YZhI7hbNSFbEuyX7JfLzHG4HoeRVmx2265encrnXjPoxO7FEVBlhcEvvVXjkI81yHPM7I0RSHsBNfGQNXv0h30CcMIrQ279Yrs7pZnl6d88fFzom7M/PGRb755w/v3d+S1Qnshq13GD9ePLDY7qgocrel1fZ5dnvHs2Rn94YBOHPGrX/2a3XZvPQFj4iigyDLCIOTy+QsuLp4xmo5lpk8psCwJUWg/nE8ZP6pFHVW7QuWmKe50G3+a4r/9ksOPm3UgbD3pSZraUJU1NRqUB8qxYl2H9die/8NCeFr4I+NxnlPTjwMuT/uMhhGYmjzPcFwXZQQw2q5XvHv7jtV6w/MXL/niZz+j0+kKk8NamZR1Kd27IifLU9bLFe/fX/E4X5MX0pUbj4ecnIxBQVnmVHlKkqxYLRdstg8UeYHneYyHM8aTc6K4j9DoU8oiQ6EIglDEv+zmXWQJZZ7RHUR88OFH/PpXv+L2+j3GaILAt2CVCKR5vk/YGRDGsVjUHRXYsufLTHZZFBRZRpbsSfcJjw8P3F7fsVys8AOfTkeaVN1uh8FoyGQqopuO89Pz2T9dLNqZKZrN3ZjjKHAMebZUgqezFtCsAVHZctpCsUmEDl+LtLqjDy3aJiFripImWLXfN4vaNEHEFowCqbeJ2oFbX9OoIjWvq7nPxrZMfl63wavxIlN2zsN1NNQlkadJdxuuryroe3QDoU5p5bBeb3j79pr1astkMCAOYx4XKwIryw1ahmZdD8/xyHRKlqWCpGkIPI/hoI/nKDQVaSICAXHg0emJ157ruuyTlIeHOXd396zWW0ARRLKQyrKkLAs5j57L5fkZv/yTP+HTzz6l2+vw3evXLB4fMaYiiGKCwAUE+X/+8gUffvgR09kMY6SASdKUNE2A2nZzOVg+lBVlbTCug1YN0UCUNY0x4vGla2qr/opNaJtgopQYvlZa42iFse3zqpRixd4IWv851f7oKIs++mxXokW0XK2IfZdO4OA7guakWUVuxXHquhIfr7IiimNGI/Hk0q5r134ztC+BpSpL8ky6ubd3D7x9f8NiLTYjcRQyGQ8ZDXriV5jsSLOSh8dH7u8eWuGI2ekJvcGQyM74mNqQ5Rmr1YreYIJvu3cG2dSaxwvCiC+//JLvv3/DX/32t0Kzi8Q4HCXy1p7v4wehiBDZTQCwQjZSiCdJwnq54P7mhuVyTpYVbDY7lssVSZqildCwZicnnJ2f0x8MhC6GXAd/cMeTnNDY7k1DgW4jT4t2H1M+FaAc52mhCYfgZxOaFiwD2hkDkBjTgl72vtvbWjq+PoAqCmud0Sr/VhR2tljksEWcgLoBGpqXZZo6xiZoQiEXMEFTa20FbeR5VEau5GFH03dLHq5+IPMqTkY9lOsJdTsvWK5WLOYrsryQTps2oB0pAi0I5ziHQriqa2sDIV1/Q4HCwVQFWZFTFyXGdfD8gG7kMx728DyPq7fv+e1v/5rrhwXGDShqxXqzY58koBSe7zMeDfjg1Qs++PAjzi+e8fLlB7iu5n/+1/+GqqrodEP6vQ4KmWV8/uIZ/+CXv+Ti4pzNes16vSHLRdEOI8VXUVYYbVoABRR+EOGGMcrxUMahGbw/7C0N3dQurNq049nYCIkpoS6w/AeUUbjaodbKWmr8KK4dJdUtUmAOCYNChB4CXRP7hsgFR9VUZU6yFzpmst+z224psowojDg5PWN6/oywM0JrVwClsrSIdEqWpuy2G7abNQ+Pj1zd3rNci1hbGPm8eP6M09MZSkFZZKT7HcvFI5vVkixJCMKIs8mE4eSEbn9I4IdWiXBHmiSEUY8oCGUPriox/rbAh+8FfPTRx/zsyy+ZPz7iuC6BJ2JtSmuCKKITxwRhiO/5aFdm5YV+VVo6rH0dWUaaJvazeCC/v75jvtgwHvaoDTiOS9zpWfGKDq7jH0HdfziH47q0ivBtwSfzWgei+49A9RboOgawnn4t+O2Btq8tANYA/lorm9+p1rOvoYHaOz8qVpocwQKcVWW7+tVTEZ22k9lUKX9LsXiUr6r2UrKg9ZF/oFKaTgf6ocvu4YZ0s6DMdjiuiNNVRcnN9S339w+cX5xzevmCv3x9Jb7X2NEc10W5Dq71KUyN5EilVdsGCEKx9NFaU6YJebLj5bMZk1EPqNms1rx/f8Wb93dsdilOEBFoh12asU8ylHKIAoc4jnj18ow/+sUfcXI2YzCa4QcR/+7f/wbPC9AKzs9Pxf7H0fzpn/6S02dn1JWlDCMUWfEQtJyHynb+LNhijBGLNKWpqMU7u7HM+PGAooGng6ZNEWnQpkZb5kVZlhSVodYeyvFRjec0P2L22ftpy8SjTwIqiar9rO/T6wRURc52n1LVxhbmiu12y8PdHVo7/OIf/AnPX7wQm45mvraqRe3dirzIGFLC/cOcq+s71tuEoijRSjE7mdDpRJRlRlEkJMmezfqB3W4DGLrdHuPpJaPxKUHQkZhYVpS53EfUCej2bB5lFEVZslsvqcoMzxvx4tWHvPzwQ+b3d2itCDxXhBG1i+f7RFGXMOqgHKd9kwQMFiXYyupOpLst6+WK7WbNfp9wfXXL99+/pygqur0YR2v6gx7j6ZTZ2SlRp/N3ForwdxSLWh/QUTFBfZqMqzYRas7wcdP4OGk6mnGzWb7WNri0yZUt+MxBTKUJ1E3waIpCbJLfvlltMHhaiNTmYC9Q14JeNypPBzGKZnEfVuIBPZNkUDdJjlNTKMUwdnl1NuWyb/B1BkbhaA+lIE1S7m7FimI6GYnlxGZHbSqCOMJxPVnINmAD6LLAoCjLitpUZGmGMTWOdq0YSomrNf1ulzj2UQq2mx3X1zdc39yy2exAO5yenfHs+TNGqx2rjVgmoBSz2ZRf/NFX/JN/+mecnV+w2az5y1/9mjwvCHyfKPQt8q+YzqZ89tnnTGcz6qomSdMj7nMOmLbQr+uavCjI85Ky1jhKW8sMdUhijgpy8Rw7QIPt61dK2Fpa2c6iFa1RCCLffBzNNx4tQ5r5sh8jkkopHKXwXUXgiWBGVRakVUkuuJZdhyJA0+/1COOYTreL53ugRBxBNXz2qpQiPM9sV27D9fUdi6UkmKau8XodRoMejqNlPiHPWa5EOrnX63H57AWT2dQKQXiHQg5j6aApl8/7RFGEQWYpq6qkzFOS3ZZoPOLVB6/4k1/+A+7vbkl2OykWAx/X9fCDgCCMcD0fx3VFude+n3UlA+273Zbtes384Y7Hh3uSJKGqDEmakWcFxkC33+PFixc8f/GM/qCP6zoiUW3MH2Sx2O12AY66Xofko93+mvXbpua0iZaFqqCNZ+qQTB1AV5ooyVGSY4w5rNwGF7Ex02BQqkZbQYG6FtGWqmw2czmvrWBWaQtFOKgOP9nQTbvbKq1l5qGSRMnoRpTKxkgFoWuYTodMOy4REHoOnieiTZmd1318fAQceoM+vV6XcpeBVocE6ahiNQjam2Qi7FWWFVopmS8EsdCoS4Kww6Dbx6Wgqgre//COb7/5lvv7BxwvYHxywmh6wuV6y5v3V9w/yHxhr9dhPJnwxZc/5+UHHxMGAd9+83vSZE+vE4qnaifCUYaz0xN+9ke/4MXLV9TGsNmsWMznZFlJst9LHDJin6OcWgQGrBCS4/m4QYSjArEZqCXmmbZTclgD0lG0tHsFDhrXGJxaoQ2SRGGkWFMNpd/KjpgGMDgU+c12daAw24RMgacqAscQOpJMlUVBVRTUpibPcrIsR6EYDMecnJ0znZ7iRx2MpQcXeSa+cGlKut+T7nZsVis26zWPj3Me5kv2WUFeVvT9gOeXF8RRQFlI5269WrLbiDCNzCbOGI2n+J0OWsvsTVokEnPKil5/SBDGNAyh2gofKaXwXJ/xeMwvf/kP+ebbb5nPH/FdB891CYOQTqdHFEW4rtuCEaau7FxiRtEWiFL07vc70iwjzzPW6y37JMNxHGazKc8uL5nOJgyHI8Iobm1Fyuqn5eT/Ph6uZ9O+JsS1Hbune/Nxl6kB1uGQH2lrtdH4zzYzgFIUSozQTXFof3eAxDh6zCa/q9q9v7IMGBFgk2KxrErZg+oG+Ld30h4/KhSPmgLNSzuAcOpQMDquqF06PpMTn8BkpKtHqqrA9VxcO9P2/t173r+74uzslItnL3l/fd+O5wR+43Fo3w+bJzUzswLi1aAUYRShHYfVasXjzRUff/CSl2cR6X7Hfr/nfrHmux+umK+2aEfT7XQ4u7gk7A/RfkhmixfPdXn58hkff/YJveGQ/mDM69c/cPdwT6/Xw9GG/qDHcvHIH/3iK1599BElwnKibPz1KrJclFQbexvqRmVYbLJc15WeoNGWhioiSO2ow4/e/WavbJLphhemqTFlbsevAO2DG6BsodKUP+rouzbW8eRbFApf1fSigH7sUJcZm2xLnuwpqgptz6kxcHbxjIvLS3qDIY7WwpDjQDsVYEkKxSxN2aw3XN/cc/uwYJcKwy0OQ0bjAVpDkuzIc7HGyNIdruswGJ0ym50R90+t/7gGSoyd1S/Lkm5vQtwZgNIYU5PsE9arOcrUeGHEZDLmi5//Ma9/99dsNys8zyMMhcESRh2CqIu2DEBjryNTVVSl0E2T7YbNasF6vmC9XpNlOUVVs1iuWSw3OI5DpxvS6XY5u7jg5PTMWn9IE+e/yGexKoq/ieA0m6H91yLVFlHSbVA5KgLba7mWRaIUppIOnqyrw/zbAel6qmR0LOhxQJDUE865JFjHAg5NO72iqivqSuYpqqrE8oYkGaPxF2poktrShuwG5GiM41oDecPkrMsvPrnkJMhxshWeycEY0iTl4e6B3WbLaNBnejpFa839fEmWFwziLnGnhx9EKGUvSERNrygrkjRjn6RsViu0UoyHPQJXEoYgCPBDH4ViOV/y7v0Vy9UaDERhgOP6nJ2e8OzZM2YnFZWBk9k92nEZDoecX1zgOC5JmvLmhx949+aNLJ44wlFaWugDn1cvX3F2fg7ANt2SZQnHSmfSXJZNQKwWxN/KKM8WdTLGLAujbudL/1bFRhsYtD1vrpb1UreIVGPF4WG0S6WcNtg/3boO81ftWrCwhaPBcxxcDaaqyLKc2hQ4CgLfxfUCK9Tg2Rm/SER8lGopGsoYsMl4liYkOwnqi8WS+4c5+yS3HmAQhgFRFJCnKakRPznP83j2/BnjyYxef2C9GWVAp7Y+eVUl57/T7TKengid1871ZllKst+RJHu0HtPr9/nZz37G7/7qr3j9zdeEgU8YhIKwBxGuFwgNQwk9rior6koS4NVywWq5YLvZsNusMXVNr9MVWoN22G93+L7HixfPefnBK/rDIa6lJ2GVVuvqpyWW/z4epfWPbMCnQ6xpQCslM2lAsy0erznVJlgc3aYpDZv4+bQAfXoI0NbQs1rvsyc3OcyRyEZfgKlxNWBq6xXZWNYcgV42pkpMlG5jM6OoaqGlKcfSjuq67UwqZeiFHh+ddHk+8egquY6UUux3KQ+3d8wf5ji+z3gyxU9zwviOsFJCcTKHV1a1aLVQvperDcuVtRnqdQn8CTiSMLpKEQU+jlIsH+Y83l6zXS1RGJ49v0D5EUFvxNmzZ3zcG/Dxas379++5v3+gLEvCMGbQH9Lv9bi9ueJX//v/j8DVXJxOCP0AU0tx/eLVK56/eIHWmjzNcLTG9VzyohTla8/BtaIrDdpeW2q2csRLFu0IZRVkvrMtFtXhPVbCmNBaBLwcU6PrGlWAMjVCz1JtAd8InZnjYpFm65X7PPpBux87qsbXhsCpcTDUFRQmt9YT0nl2HI/RaML05JzhaGxpp1qSpTxvC6x0vyfZb9mt16yXC9ZrOV/r7Z4kyylrw2DQYzodU5cFWZEJnS5N6fX69Acjer0hcbeL5wcox2mZKGUhiVkYdxmOp7hBBMrB1GKTURQ5GFmXrhfw6sOP+eSTT/lP//E/EEcBo+GQfr9PFMX4vt8CxGVh5yWz1MbMPbvdlmQv3eciz+17JYm87zkMB1O++PILPvzwA2u1EVhTciOWH0XxXxBV/s95OFacA5quRNUCTAJcqdZv0fpoHHL3tjBUhwaAPnQX285ws/7rirIy7RxV08GpLQArecVhxrvtdsqj2WV+lGtiWnuKxq/x0JU4yg3b4HNoONjftPmqUUZyDEq0ERGXZ7MegcpxtMJ1A+kO5Rnv377ju29fc35xzoeffESaVtzc3pFmBaPpTOatm/2iARCbrysZRakqGVNxXbHiebi/p9hvmA67+L5mty65ur7l9dsbdvuE3qBHFIWMTmZcPL/kRRjxsz/6OXmes1gsuL9/YHIyE+X0TheD4t/+23+H57q8evWS775/zbevv6fbiXj58hVeGECRU+qKWsngjjCr6nbPabu5lqWiLJAuQwINkVQf4X+mbQw8QUTbMyj5taNqlCkxVn2zQoPjgePZXOhHhf6T4+hn6jASErnQjzwcctJ9RpbsKPMUlCb0fLq9PoPxlNFwSBCIgGOz8zaWEWLnVJClCbvtlvV6zd3dA1fX96zXCVleQV2iuw69bkxR5pRlSpYloisSd5lMZgzGz4k7XRwnsnuuoSpS0mTHdrsnCDtMZpe4fiTOAaYm2Qtd39EQhhF+0OGTz37Gi5cv+fp3f0UUhyJcGHXww9gWipYqbIVpqiITH8flkvVyzna9IctStHYYTcZ2HMTl7n6OQnNyMuXVh684PT8jiKN2TrVhzP3U8ZPFYmkDZVPMtRdxQz3gMCisVN0inS1v3YA1VUAWZtX+/bHow7Hk/KFT+NS3sVkgprlj0xQZRvjgriOzB2FAGPi4riRNRVGxTzP2SSLqZ1YZTVAr6QYpsIa0GqVdW+A4limmhONu92fPgdNhh2fTHl2zpdQBRVqy3qxZzR/ZrlYMBn1OL87xfI/5Ys3N3SObXcqHvQGdbg/lONL1tAFTOO8lSZqzXm9Zr7d0OxGe6+K5irqUYd0iL1lvt/zwwxtW6zX9fo9+J2a326Fcn/FkQtzpEsaKr776ij/504hOt4fruIRxh+5ggKlqsiyjrkv63Q51XVIUFXmRMxqPuXz+nCAISJKENNmLj6PnHToRzWetMaa0CVSN9jWO44F20dpFI7MnxpjDe6saNO8QBKRYVOI7pmVzabuPSssMiuNitCtrqEUIG2ylhdmfABPCaRcKqtB5pUNXVCVaGYLQIwgjwigisEmh4zbKs/a8Y1Xb7P2XZclqtWKzWpFlOftdQrJPpdtgQGllKaEeRVmAElPx/kDUZP0wsjM1SElsdEunzrMcYzQn5+cMRhNAUxsrvJPsWS4XJGlq78NjdnLCqw9ecXP1jm43ZjAQQQbfD9G2UKyMdEPqsmC/2/Bwf8diPhdlXAxhFDGZzuhZ38hGVttxXT748EPG4xGuYwO5oASH6/cP7MizvEXWj8GxYyALaNVNhTrd0EP1IdH/UQzEGIuG14ft8KiT+KS8NDVVBarpDNrHOUb6Xa0IAo9uJ2Y8HDDsdenFARjDYrVivtwyX61Ic5FDF5CsPrAs6qqlVaM12qnRroeDaxWNRcyrrmsiDz67nPD5xZBZVKFrTZFlrFdLHq5vWM3n+EEkiqjDCenNPRpFr9uh0+02r4DGkFq6oeITtd5sWSyXVGVJN5bukFYy26xUSbpZst6tuH73Pel+x2Q64dnLl/hRSFIYKieg0+nRG4zoj2c8f/mhMFKAYb/P2fkzXM/j+uo97958z8sXz9j0ezzcPbBZb5lMpjx//pwojkn2e6pK5iOjMAblShyNYlwbt8qyaK1qlBa6Y17WFNpgGprwUZLdjFYYZH90rFeuxuAcAaLKFILVawvuaC10fEeDcexaabrWAMe0/AMoJrL0Bk/XOEruu6wMVSnUcw104g7d/pDR9JTecIrjh1SmpsxFZS/PUoo0pcgT9psN8/kDy/mC3WZHlhXss4IkK8mKGs/VTGcTwshnt9tSFBnGGIkn/RFB3MMPI7TjYpRq7XnqqsLUJdpxGE1O6PQnKC1IvDEyO5zt99Sl3EY7Lt3egI8++ZTXr79mMhpyfnZGFMWWTinXjhS7GXm2l0I32bNer1iv1hRFhuu6dLtdwjBAAXlesFxOODs758MPPxCaveO0Zuq1VYqW0Ys/rEOocbb7mmeUVi3xkJ8JSOt6Hq7n43kejuuI5L+jwXEOHTStD6LMyAxyZURVsimQGi9P07C77Jp+0olqDtWAvwKWaa0JfY/xqM/Z6ZRBL6asauaPC65uF2x3O/LqGMhumlrq8DWHbpRq04WmCLbKk9owHnR4eTYgcKpWVDBNE67evuGH77/n/PKCz7/4HBzF++srbu8XeGHE9OS0LbTEtkrGhsqywFhfv8KKjTiu+PJlScJ2sybAUKYJm0oorlfX97i+x6vTU4IoIElT4l4X7bp4QcDZszP6/QFlZVgu5mjHIe720Z7H3e093//wA3/2T/6M9WrJb377G3a7Df/in/8FkxNpXDiui7YU+xbMsgVs3YxeWPBaVKodlG7UT2VUoT7avY7bQUdpXVu8K2zMo0JVJVSFFPvKQ9l88cessKf3d6g+2+6iAsdRdHxN4BjyNKHMEuqywA8iRqMx/dGIfq9HEMZt58yAtRazoEUptibbzYaHhzvm8wfSNGOz2TNfSI5XlQao6MQxnTiiLDKKIgMDvd6A0fSc0WiM6w/RjhWcsUBust+wWc3J85rL5xf0B1O0ctqcINmLnUrgB3h+iHZcxrMzPvniC969f8NgNKTb7+MFUVso1rYjSlWR5xn71YLVfM52JfmhQjEYTxkMhoSdDp4fEMYd7u8f8F2Pz774jPOLc4IoskW6sjOkBclu95Nx46etM5SlJVEjRsH1QXa/mSE0TR9RijenQcb18QyPLS5bWpQ6Wgg8WXAHVFZ+/uP7aBAtx9F4roPnOkRhQByHdKKQbhwRhr6IKZhaZrF2CbskZb3ZsV6tSPZ78jQThaEmmhyJ6GCHvZVFUJpNC1PT74ScT/pELni1QrsO+7zg7u6B1fyRybDH8xcXdHo90rxgtdlxffeI9qRoQDnCC0fopVmakeXivZPlYttgjKHf6zEY9KEqSPZb5ouVPPfdjvVmS7fT5fL8jCDw0J5Dfzjl7PIZcadPUVX4UZdef0Acd3E8T6wTvIA8z4g6Hfr9Pr7nkKUpi8WSIAj46JOPGU+mNJTYoiw5iHhgUSgJAMJxLtpuiqgDhhg/wOCCA07d1HzqaafWFh/KouZS9Evh3yj9tV2RHw1TK3W0bOym0jYij4KYstQvRyPemEo6yY6GKArodWPiOBLvQa1ayozcv+GYe2+MochzFvM5i8c5pq4JfR/TEQ/E2ohgkes49Hsd/EA8KMMwpD8QlD2MRGEQdUDz6lo63mVRkKQZnuczmZ7g+aEtUMWENUv2bLdbMBDHHRSKwA94dnHJZDzi7OyMk5NTsWVRjSy5BIA8FcGJx/tblnMRm+jEMb2+ULg6NqA4jovr+Ww2G/zAZzqbiNWGfd9rq/JYG/5OusLfxyPuxrLWmzjXoKtV1XbaBAWvRODUCPigaqi1xnUk5h22tCNludZT9hD/aBH0owWtDiu4SWIc++EFHlEY0I1CJsM+3V6Hk8mEfreDVqL21u0NCcJHtOuy2yekWd6ampdlSV0Kul8bsa6QLpbMQ4hXkwhCVVWF9nM+Puvxp58+47zv4dYJWWHYbja8e/OW5cOD0KpfvGB8ckaWV6w3O7K8oDua0Ol00I62Cp9163FXlgVZnpGkKVlmEXzPxXNdsnRHst9hsi3lMqfOtui64vnzS569eEbc67PPCkaDIePzlwTdIVUt9GmlNb1ul25PZuC041EWOQ/3t3iu5vL8nDfWVzAMQ7766ivOT8+sMrUkDsoCjw1zwnVdPEdm5Ixd8wZaWryooMo5PAh7aNsRPnQYm5PazG9CjaorTJVDVUjOqp0jSp/sPe0e2P5v2kKxvd+2aARX1XjK4CgDpqKqAGPQ2iGKY4bjMcPRjE5vgHY92+mprHJpSrYXVeR0t+Xu7pb545yqrGReJg7xfQeFxNBOHPL88gytDHmeSqIzHdEfjPCCEO0GaMd6/5YVVZVRFTlllrJer3DdiMFoguuFNMMrYiCdsN2sqKoCz3VRykG7mrOzM2azGSenp4zHIwEWTSMgVVPmGVmyZb/dsF7LvM5uv0cpzXAwZDweE8cxjiOgX5bnbHc7Li8viWIpPJuOW9NVya1f3h/aIcIZHjGdlnEAjQCaJKNVUVqBloTdftvGfO04uK6P53t4no/jeThWw+DAQGrYCdVB0bwB/20BKIWm1bCw3XTHcXGtJ7HjSG4X+C7jYZ+XlzOen8/odyNKY3i4f+DXX7/n6vqO1TalKArxKK0P40tNx121OaluxdnaAkUJRbbnlHz48pxxR4ER6mGWJNze3HB3c8Pp6SmffPEFbuCx3e55nK9Yb1MGzy7o9AcNCYUsy9luN+IBWhbSRbNed8k+IYojtJb5XlWXKFNzfXXFfbllt9sxOztlPJsShiHLzRrHdbj84GNGkyllDW4YE3X7BHGX4fSENE1wtMYPAm5v7+j3uvzsqy/5//y//t+Yuubs/Ixf/PEfEXU68vpNLUwJJTmc0pUFBkR80TQ6H1bMy/GlSKlaWS5HJqxb1ojN3m3eoWisM2zBj7EAWYmqckxZUNcaPGnMtGI5R02lpqZovj9m8kj+X+M5itAFU2RkVYpWhv6wz3R2ymAwwA0jPMeVgkhSREtxl3yrKHLSvYDwdzc3PM4fMcYQxzFhWFvFbtEL0MBsNqYThxJPHY9Ot8N4PKMzmOH5Pkr58kxrmRHf79as5g/s1gv8+IzJ9AzXC2yjq2qt82pjcO3+q7WLH3h89Mln/ObXv+Ls8jlxpyfvEyI4V1cCYpXpjtVizubxUe6nKom7PQaDEZ3BUAQT7bxwp9fj8vKcfq/H6fk5QRS2M4p1XWGqimS3ZfHw8JNx4yeLRTeKpDg0yAtsOnKVtLGlxS5oUVWLdHjVNqiPhlWPiz1H9ODa5oSl1ByKg6fIbKueqZoBaQfXEVN433fxXRffFxGPJJMkpK4kGRchBWOluAWfDTtdHC+k7NiuYouuHPj1TXHUdBwdRxTlVJVzOQo5HXfQqpaNshJ1OUnWOpxfnNLrxihHkWU5Vzf3LJZbXn10TrfXlYtRWdGSvGCXJCRpRlGWUjBmOa7jMOx3icOANBF64s31HYELs8mYz7/4lOGgTxyFpElKEHe5ePkRo9kpBo1XlRS50A7zvCCMY4zSeErm6FartSSIDuRFQRCGfPrlz/jiy69wHE9oS3UlMvdaKEO73Z4iz9t5NccRm4wGoWqKjdr1qI1jl4Al+TqH89rSM6AtGpv+SqPo1FCmUI4tKNsldYgfbWmoDt9bwL3pN2qlcLTB0+I55rsOcSgei71eZClHHo7TJHsHuq10dYTatF6teXi4Y71c4roO0/EUz/NZLte4rnQ8tVIEvsdkPKLf69LpiBpjp9vD9/2Deqt9KXUlHeXdXgrBPCsZTWbElkNeVnWbIJZ2hqfX6xIEQXudjKZTPv70Uy7PTxiORiJ331J9CtLtlvVqyfzxkf12i+s6nMxmDEcH82xl55Jru9YHo4EoC1p6VxNQZF6zsh55f3g01Nar6BjlbGKR46JUTa1KawljMKZq50CNMeTNim7nORukW7Vy1aZ5nFbttIltRx82DjmOeMr5vodv54pD38fRitVmz/vrO/4y/71Q7tJEih0QVWPHQXsunuuJT1zjSXB0aN1ct4IqO1oUXAtLtez5NT97OeFi3EWplKKsSdOM/W5PXVeMphOeP3/J9OSMGs3V9TU/vL1mu0+ZnUeWyiePU9VHa6iqKCuZQ6pqI6/T83C0kpmLxSNVuoFQ8+x8yvmzM4bDPqbKWa4W1I7PZDSlO5yivYiiLEjynP1+h1IG19WousYPIpbzRx7ub3FdzWq15O7ujjCO+PM//2f82T/9p3hBQJKJ51RZFGRJRprlrJZruSbznMLuW3VZyvlzXJTjol0P49pkpLaAFUgBYz83FGaNkfkeBSiDYwp0VWCqQpgUrtMKbJhGOKktoex6PAKv2m5iU5AiBaLnGHzH4FrBJI3B833iOGYwHNEfTYhj8TU0dUlZ2D0n2ZHsdmxWC+YPDzzc3ZEke3q9AScvTun1umRpxu39nNj36AYuJ5M+l+en1KbCcVwGgyH94QjXt4qkKOqqEIVWU1FmCcluxfLhjvV6x/nlhwRhB6U9eaZW8n2327FczMXfrVWQVQz6Q55fXnJ+dkIQiPBMVZbyd4Wg+Lv1kuVyLmbYRUmn22d2espwOCTwfbE+qSsMGa7jMej16Pd7rf9sM9tdltJl3W82bNbr/6px5v8Mh2gP8ASnauYTq6qmLivKMrfzw6Ydxajt76s6E8VgnUqsaYo/e09y10eCXg3436o9H4o3mW10bBHq2kJRci7Xketin+R8//aG69tHTF2zT1M2my3btMTURnyJXdvVaXLIo65hy36zYIw5ep6SN2jGbs7JdIBmSZGl7Lc7lvM5+82W6WzGsxcv0J5Dmkt8uL59YJeVvBiPcay+AUrGGZK9UBQVSEexEHCiqg1RHBPFMdl+h1aKLEt59+4do57H5fNnTGcTlNbkaUKN4vzZCy5efIAfhmRZwWq1ZLWYc/H8Ff1eH8/zLCsg4+rdO06nU9aLBVfv3/H84pT/8f/+P/LpZx/bt+Vg91QWFVUJ6/WWopA9rDZVy6wpS8mPtaUhl0ZR4lpxG0uFFISAtoWrGuXmQ5cQIxR7p5auYl2VGHy57h0H4zgWVj1Qow/FgTk6TfZnlsrvaYU2FVVR4TgwGA45Ozsl7vVlDdnZvqZQNEaop3mek+63bNYblguxCcuzjOFwxHQyJYpj3r67knWpNbVRRL7PBy+e0Yk7KKXxo5h+f0TUHaDd0D53sSOri4x0v2L1eMtqeU9VFgynPaK4L/oRloEpI017UBo/CHEdERFylObk/JLPvvojnr2aojzf1guV2IQUGbvdjs2j5KN1UeJ4HoPxmMFochDAAdoRvKqiN+gzHo+lULRd89qOtGT7PfOHBxaPjz8ZN36yWIzCiDYJN+bAbTe1nYOqW/RI1PdEArx5YVbbqpVxb15AQyNVTccHDkXhcSJlv3bsRtr8DK2pkTm/sqzYW5PJqmqGok3bBa2P6K0//lqZZhHWqFodPa4tTh0HBwXawdGKMHTpD7qgFavdjtVuQbJ4IE8TJpMhvU5M3AlJ85xsk/D6+3f87uvvyPKS/mBg7Snk8Ss7u5PsE/Jchn6rqqSsSwLPx/VcalOzs5YGaZIwPBnz7NkFJycTfM9jvV6zTzPOLp8xGE1wHF+QCtfF80QwRQxCExHJ8Tyu3l9x8/49ylp1dLsdPvn0E/7RP/mnTE9m0s2ys51plrBarZkvRZ1ruVpTVrU1IS3J85y8yOXcKxGDkWT5IONuBEhpg3jryWQ71JgaRx0JHtV2psEcfKkxpjV6beaxjo+D8JL8zmpJohW4yhA4hm7gMIxdBrFHJxZBH88VKxbVPIasBEBRFiXL1Yqbm1sxoa4qRsM+JydT+r0udV2z3aVkeYlCugnDQY+PP3zFdDomikPCMMQPQusRCtQ1ZW1VZO39393esl6vLcd8hh/4NrGW97HpTAW+z2A0xPU8uS6MYTAc8uXPvmLQ74ham+1W5lnCdrVk8fjAcrGgrCq6nQ6j8YTReEwQhrZwt0hVJWIjyX6H67pEUSTqv9bHsSgK0nRPmuwpirIVl/pDOtIslzhlu7K1pac3BQA0jRwlC6s2aGWotYZKENmGbtogoKijxN52aI/j2vHXqukiOjID59rkybWUryzN2G13ZFkmwlUYSw3T+GEswl2VnUNBUReitlkZ7FzikaeYEotOFFSmoiwlPtccgJJCGebrHW/vFFlsCE2GqUuiKOT88hlhGNLrD0G7rJdrvvvuDe+ubjHawwuauQ2F1o5lDBwEyhSijupoZT0YPZQyFHlCtt/hmILh+IxXn3/BeDIi3a15uL1ht99z8epT4v6AvCyh2mMwolBNxXq9lGDTH1BVBW9++Jb7myuqIuP25prddseLFyIO1evFVGWGKXPy/Y71csnjYs18teH+Yc7jUrwc86JsQVKxODIEkYur3QPiW9dSEBuhLLVibaqZ2AFHG1Fn1gZFiSrFbom6QimXxqNWWSRcI/cnS+/oerPI2dPU3OBQ4+uK0KkJXEXou4S+S6fTodfv0+0NWoGEuq6o8pw02ZPs96S7LcvFgofbW7bbDa4f8OriY84uLuj2+uR5zuPdA/skRSmIAo/z0ymTyRDfD8QzbjAQ/1WtbYeqbBOVqsjYrO95uH3P/P6eonSYnX2Ao13rCWpaxkiW7Nmu13Q6ApoZJbOLsRVl6PciFEro9UinOk927Lcr1os56/Ua1/OYnJ0znp3S6wu9tK4KMBUKS7GrK7rdHnEs3mICgtaUmXjP7rYbtus1WZb91w41/4cfDw931EXR0kObeUJhAWkL/Hp4foAXBPhOTDMz2MTGhmlB0xyQ8CbWENjcjkPcE0zeKkAfxb7Gtkfm661gR2Wp6HbtNzGpARSKSjrixuaQT6yGtJbncNRgaNWkVTNTDE9YHNqhMBXbbcJS76jSPcpahQ1HQ/rjIV4UUFcV+33C27fXvHt3Q14pOr2uJN9amg6e56C1am2/atPkvNDpxIzHYxythSq92VJut/TPTvjg4w8YjUaioJok7DYbSqMZn5zhhSFKu8Rd8dz+9uvf82/+9f/Ehx9+xMnZBQbFbrPh/Q9vGQ4HfPv731MXBX/+f/ln/PEvvsJxNaYqqSos/bIg2Sf88OYd331/RZrlNoZJToi1BmuaKQYojaY6nG057OuyKCiNZZ79pcR/VeMqjVsXVHXRzprieCgrwCdnt24BtvYwHMYh271UikVXGVxTEHkB4+GQ6ckJcbfTUkGP7VCEZVWSJ3s26wWr+SPr9Yo8z4ijiIvzS3rDkfUCriRemFrqDhSzaZ9XLy+JOz1cLyDqDgjCGO2IhojkuCVFkZFuH1k83rKe35FlqVhl+CG+G8jaxFApKMtCqPbakRzRddt3t9sf8tkXXxE5ic2rRcSmyDKy3Vr8HDdrlFJ0+gN6wzFxf2g7nJZZZv20y0oYAmEUEndF9VRm4U271hb3Dzzc3Yqf5E8cP1ksqrqy/G+5KF3XsRubvImVlZ1th5ONzJwco0nNvI+2L5oWDZXVIAHkeJE9TdAO39OefKFKlBTN0m03Vblhs+aMLS6apLgpbBs+vakOxW9dyWdJ6AQSN0qoEY4jvnXdOCDSJb/Nl+jdPXr3wEnX49nJiNGgi+No8jxjtdpwfTfnV3/1Le+v7+kORsSdWJC5RsXVdtHKsqDI5SJytCYOA7qxmFSnacpiIVzk8XjIs8tzRqM+vu+T5QXvr27Y7VJeffwF2nHJi4yqMriei6PFbywoRd0yS8Rv5Xd/9Vse7m/pdWMcpRj0e7x69YLxaEhVit/jbrtltVrw8HDP+/c33Nw+sFytKIoKrRVJmpOXK/ElXG8paoXxUyo3odIVZa0obWdXRqM0jR+d0AEOa0JrhWlmdCxtQUCqQyKN7UiapsXYqN4+WSA8oaJqS1cIHEU/9Jh0PcYd8R3zPSn+j4NJY8dSViIUspjPub29ZbvZ4vs+o9mU0WhIHEcoK5aTpDlJKqbdjlK8fHnJqw9e0O33CAKZ9VBWyKZB7Grr6fg4X3B9dc1qucQYGAxH9PoWUEDWurFrRRljaa2RBRzENj0MI8aTKZ6DRYIz0mQnszqLObvNBsfRDEYjJpMJ3V4f1/cFgTU1ppQuZLrfs96s2e/2eFbgwVgFuqquSfaC9q9WS4qibD0h/6COo41K25ZYU/QdxBUsYt6wJBTtbRoVwEYZ0LHJQ7Mi1dHabBL8poD6G4qDlq5Y1zVZWpKYpAXkagzK92SWrin+MHgqsBuABfUquW1dVphSaO9iKt/QUA/y84cXYin3WrFRtcy5PmheDFxejj1Oui5BGBB1YlzHpzKG+XzO119/x7evfyDPS7rDHl7g08R5UUGscR2HQouthut5xGFA3omIAp9OJJ6NVVFQ1yW9TszFs+f0h2PKsuT+9pbrd+/wg5gw6gCa7WZDmiYEoY/nB3Q6MWVRgjFkWcrj/S2//+vfsFmvicKANMnQ2uHsZErsOWznD0JFynJWqzWb1Yb7h0duHxbsU4mZaE1Z1+z2ot5Z5gVaO3SMC50S3IqckryU7mlLyaKhY4kGoLJdwTaBRkr6lp6slKhj2y5bM+vf+MEZm4w3666Jgw1ZQVPj6YrYqel40A1durFPJ47odLpEnS5+EKG1pi4red27LZvVUsRrVku26w1aKS6ePWN6ekZ3MLQdSENVJWKPslgCQuOfzab0BwP6gy5B3MHzAltMVFbBW9Sz80wStMfbK1aLR8qiwg8HxJ0+jue3Ha1G+Vf8dUsRGbMdP4PC8wIm4wlunVPmuXQIq5Is3bPfrtitl2RpRr/fZ3Z6Tn88JQiFli9qwZZSXoqJdpEXBGGA57k2Jyioq4L9fsdmvWa3XlEUucwY/YEdo8ns8I2l8pqqtlZTR4dqwqJpKdTH1Hihjx7Zn3GIg020a+JO02hoPppY18w9uk2HsulSNh80TQVZ641HcJbnMpNdVUfFa2VjeP038JXm/prneRzX0Q6lFqZD1N0Q+5ozt6Tb6xFHAUEUCj2/qHj/7orf/vV33D2ucOMBjiuFhVYy7ypznm5bwIo/a01ZV/hWr2C1XLF4fCDd75gOIr744mNG4x5pkrDfbtlud2w3Wzpnl0TdnqVN7tHaJQxDPvviSwaDK96/e8/t3S2DwYi723uyNGE0fMHXv/8dl+ennMzGFNkeENuPxoKkyHOS3Y7f/dXveVxs6Pb6Vgm1FLZRLddhYyFXGyiMdBdrq4Iq76vBHP3/pFC0Z7812qgKlGXh4Lgo1z+MJjVR82gflAbB0wK0OX+eqvEcQy90mI4HTEYRge9bQUAj+oq2E15XMpe43+/YrRasN2vyZC9e2pMBg8HIUnQdMEI/3+0EFJe+lObsfMZsNiWKRJzS9WO0cm1OJzlSnlhf2cd3rBZzyjxDO55VVdagHExjSmUMeZ5T1xXaET/shkWBAsf1GE9nlLsboZzmCUW6Z7fdsF8vKLIMLwhlzGwwJYxisWwxtHuKMC9EkLHIMnzft9ojDeBTkWcpi4cH7m5uSPc7OoPhT8aNnywWb75/bVv5DspxcH2R5ve8ANf3bRVPi3CDnVs8+r6VILGdjDY3sYEKdeSH2CT9zcUPdgFYc3f7O0HxscWdaZdTm/xDu4jtKrN0CVuw1oI21UqjqxKpYWVeDlNjKoOpZU6rVgWldqhKH1dVrJYl2eOGYnHFLMj5cPaS0bBH4DqUpVAW37+74eZhycN8TVpUTKKIIAzbi1XbAlnrpoPgyHumREBn2O8Q+B55lrLdbIgCj5fPzjmdjdAYVqsNb95d85vf/DX9/sDSgQt2uy3rzY4oEoEJhcJ1pEOZ5xnX11e8e/uOPMuIwwDXd4mjEK0Um/WKIAiFipaJAIrvefR64kHV6/UobOe2qmuSJJVg6DoYpJvg+iEGF1VKwNbUdv1YSrENILVDO3fq2qFrpxmUt/LZaKuWpV2R9G/i/xHa9ORQdiC+SewVuBq6gWba9Rh1PLqBwnFFsU3RUE5pZ9PSNCNJUtJEksM4jJhNpnQ6MY7XSBZbKk5Vs15vSNMMrRVRHPLq5XMGA6Fwep7YYtQWRKkV5GnGcrXm/v6Bm9t7drs9URQxHAw4ObtkNJ6hrJKsoxRl0x236m9ig2HQWoKB4zh4nkeZJ2TpnmS/Y7testvIzESv16XT7dLtD8R02rV0GXut1XVNkWes1ivmj4/UtWEUhDRKm8aum9Vizmq5oMhzPC8gjqKfDCp/H4/1w53ECWV9By09ynFd+TiiwTfzbK4r165uE53DPI5uKsR20XJITrBFYn3w+RRrlmPxLTv70yRWtoBthVMUVnBFLGBqdaBYGY5miJq42Xb067Zj9eP+cCvKAxQG1mlJmeXUiaGrY8Zhl8jz0AqqIme/2/Hu7RU/vH5DVZZ04ogoFLChoQ096VTYGfEw8Ol1O2hH0QlDut3YotkFjuMwmc2YTmdURcHj3Q1vX3/Hw/UNftzl7HGO05+S5yXr1QK9dej2+lIURaEUpVnGt998zfffvSbPRUCgKEpC3+NkOhaVujyjrkpKI53JXrfDYJ+w2SZWec4VcbQkZbVaMZ+LgnBdy3tdWpyyNkYSAvvWPRU40m2X0FHguQrfUXiAqRSFLRuVluRJOx7aONaGoyk87Q4nJxG004L5TcfG1YbINfQjh2HPYdjz6MYhURTjBTKfYoyhzHPKIme/3bJZNarIO0xdMxiNmZ7MGI0nuL5Njq0oUZ6mPNzfsd9tcB1N2Ik4Pz8l7sSEcYzr+bIeqwpjxLoiTbbsthvWqyXr1ZI8S4njLp4f0x2cMJ6dgn3fGtEzYzsamBrP92xnsVlHijAMyLcJebKnqkuKLGG/W5OlCY7jMjkZMZmd0RuOZF4S8Yys7KxumRfkWcJmvSZLU6I4xtSGosipy4o83bNcLtms15i6shTwPzxgbHl3284JaseVDk/DcgCbpB8S9GaO0PVkjtD3PKsg7h58E9UBpG3iyqELadrZvbK0aphl1YpuYUz7O7BFiDkq8Bzrz2g7hCjVArF1dRDskpGoJj88Lkpt8VEbqurQG2sLUe2QacXjYsW7/ZrLkwFRLxYlX0+jXYeyKLh+f8Wb79+S5qVQzZXCaEVeFLjWI1wphe/7lGFAI05W1SV6rymqkt1uJ76H2nA2HfLZBzNmszF5umO7WnF/d8/N3Zz9LuVFZ4gxsN+uWa9WYAydXp/BYMj55QW9/oC333/Ht19/za9+9Rs8x2GxWLFbr/ijn3/VqoO6bijKvmVlGTOKoqgxSvPplz/n5PSMm9tbVot7APIkaZk1KFE/rXAoFY0jLC00ZhpgzG5tDTCGgAsuIm6j64KqtufXcWyxeNBEaOJd3cwuHoJc+72y4GOgDD3fYTbqMh528H3Xnl+rKWAUZVmL72CyY7/dsN9uyLMMBQyGY+KueBZ6nhXXwlBXQr9dr1ZW3Ac83+H84pxuv4sXdGS20Ao31qaiLmUEYjN/x2L+QLJZYGpFHPcIoh7a9fBDyR9lQEGK2NyOP0gO59OMHkizysH3A4q1UETz/ZL9Zk2622IU9AYjOsMZcaeLDkLbnZXrDVswi3hPyn67JU9TOr2eXJvGYOqS3DaP7q+vSdOU/mDI5PT0J+PGTxaLj7dXNHMtrUKW74mYSRASxlIEeX6AZ+eyVFP8tcnK4cJ84qvXIPXqKSbRdh2bzxqUsjYCtlAwANqAsV1Jw5O/adBXgzpKgA7ILs06bGgOLWWyKVoFZWu67CBJYBx4hCH46Z5+L+bTixOeX8wIfYeqLNmsN9zf3qNMxWQ4oN9ZcP+wII6Epy5G9VXbjQiCQIQgNJRFiSkL/Dik35M5t2S/o64qhoMeo2EfrRSLxYof3t3y299/y83NPS9fKG5vb8lLkVO+un3AoOl2e3iej+u6hIFPUZS8/uY1d3cPIuaiII7F5iFLE9JELBPkbzx7Pl204xPHHfZpRm6RvLKsSNLUCmMEFPhE4zNUPKQwDmUtCNSxUmRzbpv3V4FVCJSiUSFUoKrMWlprjdOaU4uXWX2khnpIohq1Ut2g70pZc2oYhC7DyCX2FK629K26pkKhakNlDHlWsN8n7HZ7yrLE0Yr+oE+n2yEMAqExNOioVbEty5LVZtu27iejIc8vLwj8AKe1xWjmQAy7/Z7H+0fu7u5Zr9cYA2enJ5ycntLpdOj2x1ZB8ggssZtoUea2gy8brtYOld2Asywh2S5J9huS3ZYiTfBcTbc7IO50CcIYz/cl8aJ5/5tOqqjg7rY71us1vh9Q19J5KMuCLMtI9nv2+x1BEDCZzIi7PcIw/Mmg8vfx2MwfbIxznoi+OJ5n0WIRcqht4mQQoZ+i0gcMvUW72v+AJs4disWDUirtLKsQMJpz0yRsGsdVR3dpbHKt2vvVRjpRhy6oBVMc0465maPn18xWmMO92v1aRgIOdC2DR0WEQ69T0+uEBL6LwlAVBbvNlofbO5bzOYNeTKcz4GG1lc5nU7QaeZbaghp57mCKHEWN7zm4Tod+v0sUBWxXS/IsIY5DZrMpKLi/uebd9695uLtnt0/Z7DP+6i9/zTorqbTL/WJBmmX4QUh/MJSY57qsVyu+/t1fs1quUQYRDStKTqZjzs9PcX2vnU03QFxr4rwgKys2+4x9XuH6IUo7DIYwnkwZT9bMH+dskxTld/AGYyq/j8El1K5Qs9vYY994mwAoIx5jjjb4WuFQkteedFprbUUerA2HcXC1C/bcV0eecg3LQjWzfFoLzd6FXqCYdD2mfYdex8cPAlzPRRnTql1WtSHZySzWZrWkLAo6cURvMKI3HBF3e2hHC3BhWQdlUbBZb7i7uaXIc3zfZTwecnZ+1loAKdXErIoiS9isF2yWj2zXa/b7PdpxmUxPGY4m+EFM1JnSH05oBBiUlgtAuka57I2NkiqqRcxNXVMWOaaygjbpXl5Dp0dvOCHujQiiDsrzpLNQFdYQvbCKrxmbzYa7uweyPGMwHAooVhsx2F6KuqajHXr9Ed1uFz/w/2uHmv/Dj91qidKi/u14nniGWu9n13NxXE+U2K3wlOs6OI5qi7UmJyqLgqJlQ9h9+YCHHXWLaGNPkw1qxxHv2DY/NAcAzdL6q6ps1cJboRzL3BBwzmmTbdeqteqm4OWwzzWgHHakw7TB6RCjfQWB7zGMSmaTIf1+LiChoyjzitfffsfd1RWzyZggHnC/XOGHAVpr8jzHKINxHExd47qu7KVWaTjPcvKioNeJOTs5oRMHrLwKp+oyHI/I84xkl7Beb7m7m3N1MyfNCvSb93z/3Q9Uqubx4ZGqKgmCkDjuEHW7BEGE5zrskz3v310TBh5JktHxwXddoihmNBxjtKZ0RcegKivKJOX+4ZEo6nB28Yy42yXaCQBDXbMuBMZyHAflxzjxkDCc4RqFi2eL/AN+1cT75qwbg3hqK41vMikWTQHGFtlaLDOaONYuHCP7meThSgpPY2OosrZDGrquYdbzGfZdAvfgh6rqCsdU1FqotlmakO52ZGlCXVUEUXxgWvgyI9iMqhkrOphlOZvNBqUMnqsZ9Ls8e/YMLwhEb8XWN3VdURYZ+80ji8d7NotrsizDcwPGJxeMp5egNdt9QqfTtU0VO/dblCTJDkxl16/7ZE9HlipFkrDfrMm2S4o8k3M/GNPtD3GjruSZ1taJBhCxeV2R51YDYEmaJERxLGBempIlKYvHB+7v71HGcHZ5wezsDD/86SbATxaL3clpO0vWFn1KaKBVWZAmMnvnuCmOK0igPgomrXdhUxg2xZs+mKv/DYGH9qNJruz3riS6GN0mTn/jUE8+PW2MNy1NDp3H5vTIYj8gaainVDOQAjdyNZHO6ToBL0+mfHw5oBsHmLpivdny/uqGLE05OTlBaZfv3t3gaEXciQlsx6auKil+lML1PKIotAs7I8szup1YaFxaBHIMhjgMUcgw8u3dPTc3d5jKMB4O0Vrz9dffoL/VzBcrMRK1vn/Kon6DbodOp8PdwwP7fUK/18HVhqJI6XXjdpC5mZmqypr9bs/19Q1393O22x37NCMr7NCzFSnKskLEgxwFysEoB6VECVQru8nYLkOb6JhmHkwk3h0l3WhT1xT/f+7+802SLDvzA3/3mjaXoSNSV1VXSzTEoIEBZkkudzn/+ZLP7gwBDBoYNFpUVWalDOna3OS9dz+ca+ZRPZzih1ly2e3PkyUyMzw83M3OPec9r3A1nX+PhAascATDxicINMGj7QcwfG70n6d0FoTOkoUwSQPSEBFDGwtWDweOs9Aa2ZKWZUlnDGmWMh6NSLN0yKARWmB/Q0rT0rYdu12Bw5EkMU+fXHB2dkIQCErV+dDbtm3lELh7YL1a0XUdk8mEs7MzLq6eMBqNaJqGIArRgcZhMVYN1u11XdE0tc+msj6rSXLR6krst8vdmrossKYjSVOSNCHNxMBHh32OUb+pkG2U9UN/23ZUVU1dN+ggpG3FQrntWoqiwDlxYJ0fSZESY6Q/PmpWlCSeOqRR3pmvpz9J0Le4nqpODaBYj4r2DdJ3K9JhdSclsEdbVX/C+nrI8Dzao+iD1karR/qbgwao1zj6C57DP31Z7IE29/jVuAGAsN6+fqiECr9VkGExCBShgiQwzIKQp8eaJ2djJhmYpmFXbFksFlR1zcXFGePJnE83Sz7dLwjCWDSxHpg4aIcCT6st2ZclykGSZWRJgjMd241sn44nOVmWsFktubv+xG63I81ygjCm2JdcX1/zsNtTtIaH9Y66bVFKCX3aU5GsMdjOEIdiUlDXLWkU8eTJFfP5XO6JIBLzHWOpior9vsQh7ta75ZZ2uwd8xJHSVHWLUZooGxPmM+LJEV08JlaR2Jr7E+VwdvWfhzBjMB0KSyj2udgm9Ki9wjgGyr7SAVEQEQeRGOlo0Tz2H6izDoOS7Dpr0XTkIcxTzTzXTPKYLJVGyHQdXVeLQZYOhA2xXrHZrFHA/OiI6WxONp7JNtWHj/cmL23T0FQVd3d3PDw8oIAsjTk/O2E2n4oWCutZCI62rlgvF9zd3rDbLsHBeDzl9OKS2dE5cZLRdY5sPCcMUwGAtQWrfD+xp21roiQmG41k6+WvI9N1NFVFU1eEWgwfwihiPJkyns5Ix3N0nMvPbR1YuQaEwudDq8s9t7d3vHn7jjiOOTs7le/ZNKw3a+qqZjSacHJyxngyJYoSdPjHV+tGZxf0zu/9sP5Y84c/o40xw9avB2L7x4CLPd7cDX/ogdzHgNmj+qV9XQu0IvCh96Jh7mmoB3BsuOb92dd1xm8p7SBn6Y3zjGdNDHUzCDxb6fCzPwaZ/UiJczDWlvlswhfHESeznFAblFY0dcNXv/2Km4+f+OzlM07Oz/nVb7+l7RpO5zNhjOGZIP3iwxeAtm7YbXesV2vxM/jB50xHI24/vWdxd8PRZMR2tWG/21Fst7RdRxQnHJ/M6TpL07b8L//z/8KmKFmvt5hO8hCzLGU+n0i90or1pqDY7cniObZrCdIEYwzPnr9kNJnRdC06aDEmpLIV3779wNu373Eo/vWf/1F02cAoz4jDiLZucM4JkJBNiGZn5JOnotHW4YEqOnzcPRjJwIbpt7xZ1dGWWxTiZ+JUMORm96fiwbxLIVZ7mt7XRDZBvl9WEAeKaRJwPBKDRgHQJbIEZwftv/EmVV1To5QiH48ZTWZkWS7JBnjzF2cHl1TTdex9nnUcx4DlydUZZxfng++E8fEvbbNnt3lgvfjIbrPGmI5RPuH0/CXnl8+JszlVVVB3itF4JP2xv1+qqqIqduAsWnsjJ//zO8AZqXVVsaXeb8EaRuMp49mR1LkwFoZJf59wAGSMNXR1TbnbsVmKYVnbtKKdDEO6tmWxWLDbbhl7d9Tp8TFxkgw62//a43uHxYvPvvCon1wc/ail/Oaj8w2sM/YwCPVbZKVRViFmSv0B6jWKfsV9WDj1NAZpwHpqw+NhUiuFCjQKfWjWfu/hhsLg38K+2DiGRgmEQ99Hf/SZZ65v/HRPwTgMl8LF18OhFWvH+XzENAvBtOzLirvbB6q65urqkouLc9abHcaIU9x4NCYKQyl61qKMoReigmR4bbdbqrJkPMol9qMzbHcFXWtAQVXVVOUepRQvnl3y8vkTeS6kwdgVezabDcvVht2+EQMIFM4Z6tmEcyeozOXZMacnc3CWqiqJopBsJMLXphbDneVqzevX3/Lp5k6yuqyjaWWbVlY1VdNgWkPddTRNR5SHxFahXYBRCvAxAioAPCW5rwXOb5YdA9LXO3hW+4Jqv6XtDOgAglBCW0Mvhg48ehgEBN52+7EWEq9ldcYQOkMaabJQoTFDkK916rClsY7OI+JpKoHMWZYQRQGD4N4ffJ0Ptje2w7Yt+6JguVjinGM2GfHi+RMmk1yuL4e3y25Ze9rpblcQxTHnF+ecHB8zOzoiy8c45yj2BU1nGOz5PRratb6BqiqcMX54PdBATFvTVHts1wqdOU3EuCeOxYE1CA/b3P5+cMLj7zrJgqrrmmJfUhQlnXFgZdvVduKSe3F5ycnJqc8HjTwN87+89/7QH7OzM8lY6+9LWeHJAP+oKZHFdO+iPBSwoU7Bo/Gt3ywN9c0dDsd+C+jh2YGG4vk8B/fng/ZlMN9CDaYQ6nBifOeh6DNC5bs6fyg6ZzBGo6w3tXByvWL6pk8OBacgxII2ZHFEnsaEgaU2JavVirKsOD075fLqCW3n+PVX71hvtjw7uWSUjzDWELjAz7PyjrSNZDSW5Z4wCImiAGs7oc+vFljbEoUjqrKkth1BGHHx5Clawb4qaeoGoxS7fcv12w88PKywTqjwYVDTGkNd1cRxRJ5l6CwbdOLTUc7J6Yk0cW2L0pq2bPnw8RNfffWatjNcXD0hihKapmW9K2law25X0LQdVdPicKSjKdNkShKGMpxq2doHSg1gw2NnSOffZ0wArkNbcZvUAy2fQ2MeWKxy0kSHAZGPOEjCgDA4/N2mNexriVrS1pBFikmiGSVCE1RO7t+yrmkaMQsDaNuOuq5J0oxRPmIymwuVKYhwSkuj0bV0Rhywm6Zms13z4eN7dsVOGtU8EwOvNPGvW5q0tq3ZLB64u71hs14TBCGn55dcXD1jOjsGHVHXku030QFKBTgnvgdgqfYFy4db6nIv9StNRbPo70fbddL8GUMSJ8RhRhRHPld4jApjHH30hcQWmFb8ADofmbJervjm9Vu+/fYDl1cXNJ4NtNttMdYyPzrh6vIJs9mRsDeMHUzx/pgeUr8czvWGFn1/d6hL+PpzyNHu/9tT7gM91Mvh8Qixco9/SzHoEIUKJ7nVoFHW0TmpQ0Yd+sKemtx/zygMSXRK347a3mHZWr89FrqxsRbTmoGddBhSey3ko6F3wO0UkbaczkdcHRsi7dBW0dY1r7/+hofbG370wy+4vDxjX9bc3d1jHZxenPs4Fs8k6n9gJef/brvl44cP2Lbh81fPSeOA1cMt715/zfr2Ft2dsL675ebmltl0xBdffkGaJTx4bXA4PeHt23fcvn7P/WKNtwPxbusZTWdYLFfsC9mcXV6eU9diypWPx0znM6lzbUtVlmy2W96+ecv79x84vbgiihPefbhmV2xxFpQ1NEHAvthhjGS/Gh3R6RgVxB68egyePELFHp19zsmM4Jwl4R5Tdl5K5jBKejqn+iXC4wtHPqcBgPBSNOWvH6HbywIg0Z790FObuw6wPiUh9ttpRxhGxFnGaDIVtoJ//WKi6HwfJP1h2zQ83N1TlhVpEhNHiidXF2Sj3G9TZfPaNSW7zQPb1T11WRCFIdPZKcfH50yOnxGl+aCtVQqybOypopqubSh2W+qqlPNAxwNTqd8MYlqq/Va0lVqRzY4Yz46Jch+j4c/8w/bc97amE+OyYstmueD+5o7b61tMJwN4XVVUTYNWimfPX8g2Mcu8Ntxhm/Z768b3Dot9uLeCoXFB+QHQeaOZrvNGMc4byPTBrr+PtR82jo+vMf8eSVH2lt9CvfHFCY/oDwi19pl4wWGQ7Z+H3nHv0bDoP4CDfsyhtEO7w4fTa9fkcPdaSdU3ZaKDsziMdkIJ1B2RjlGmpdgV3N2L6PTlixc8fXqBMY7yfsW+rIiikPE4F0qQUo+4+SJyXa1WLJYrnLWMRxL8GWhFXbUUux37fclqtQFjyJKIs9Nj0jTxg7klisSAZ7evaNqWm/sVneltjxVHswk//OIVk3HOdrPm+HjOdDJivd5QlQVlWbPZ7ABF0zRstzseHpas1lvCKOHk5AgdhHTGUtUNN7f3rLZ79r6JUgrCXES5KpJwb3TkNV+awNvCHz4kMW7A9c6oHc601FXFfreh2u/orEUFkfDaI0vgHKHfpkjjHBBEoQ9RfpT5YwRlsjgiq8jjgCiQotJ46quxB9oMCNUiy0QgHaeeQuq3k8paQTI7CUDtDYC6puPNt+95+/4TXWeYz6ZcXpwTR+GA7ojbbUVR7MAZjo9mzI9PmM3n5LlcD72Vc7kvCaLEbw8NKEfb1OyLDbvNirIqCcOALB8RRp76FVgZmsMQlSRIVrLX1wWhHyx7blD/1nvtTtdiWhG539/d8+HDJ5bLFXEcs4hj0jTm9PyMqyfPOL84J05kU+T6w7lHhP6IHk8++3wAEJTfwskm9zBUDS5jHsWz7vA+PD7zHut9+uZkyPfiwNDAPY6mZtg0ql4b6ZudoNcTDRuAR87RHAaT4YU8AmWH/aEToxlr5eucDSRf0B7MbmQh4zeQCiLb0VHRNoq2qSnblpVHJaezKVfPnpJmOQ/vrrm+ucGiODk7I81zWu9W2AN0bduIAcB6BTiSkWgfu7ahqSu2mxWmaWiaiqoS0Gw2HnvEsyPc79GBIp9MBMDSIZt9RWMccZoQhREKRX41pjMCsozGY5wVV+jWA113dw9iSmEdt3cLfvWr3/Dm7QfR9s6PSUYT0jyn6qA1JWXVUOz3EmkUBQRhIk521g/43s3PcjifelxMkDHdp/WC0aDM0AxpJSHXDu+e2HU4QkHltUEbQ9d5a3knzbPxJlydd7HUGGJtSUJHoKw/X1r2VUVV1RjnUMrr9Z1iNBqT5iOyLBfL9jD2A1Y7GMd1TS3IdiU5c+/evaeuGoIgYDSSjFYdStQK1tDVFdvNksXdDWVRMJmIyczp+VPy8QwdRDRtQ1OXdG3rz6zAg6+y9Vs+3LC8v6FtauIsI+wNMPy2oW3Fzi7LckbjEVESe/lLio6EKtq7etquk0zHtqatK5qqZLfZ8P79J775+lvuHpacnJ5ijaNVHXk+4ujklJPTc8ZjsbhvmkaAzO6Pr9a9evVy6OuGswE89dOzTnonWz+EDVmtpjn0UYgjRc9MkND3PorHR2I8rlvD91ND72Wtle3t7zmWHsC3vpfzm0MONTUIAwJCYvDMCdH3C+jhjW9cT0E9cJD6n1j6Bi83sh2ZdqTagRXTt7dv3rNarvjxT37CxcUpputYb7bcLzbk4wkXV5ckaSpUQCQ2QzJlO28eckdbV5yeHfNwf0uxWzBJM2zbsV7t2O9qpqOAZ8+e8urVU+bHc3bFjigTkPb81Ze8+uEPiLIxv/zlP1NsS9pOgJzFcsV4MuX05Jgyr+k6x6vPXvLLf/xH8vmMzXbH737zW+Ik4e5O/BFef/Oam9sHfvjjn3B8fExdt0xnc4IwZLlcsVouMMZSl3variOMAlQn1EzT1OjQ92X9Z+PNafp+fgBLlSJQ4DqL6hroGg8gKJyOQUeyYfTIwPC17lFv5voe3A3PGSlIA9Fom7amRIzIuk4yNuMwgDAYHMnjOCZOM/LR2OcYem1fv+zyzIm2bbHGslgs+M1vv2a/rwiUJs1yjo5mhFpMsqwRB9O6FJOcMAhIpuekec5ofEyajdBa8n2btma325CkI9J8jHWS71qWe0+LFTM3HYSebo/oDXGYpqZrKnQYMs6npOMpcZr5Abu/hfz1613YrekwdU25k0FxvXjg5vqW+7uFGEglEUmaMD855urqkvFsJt/Xf2bOs36+7/G9w+JuvQJ610o9IEqSgROKULW/aR0Yp3Hm4NAnN/nhw1aPqQp9BfA3ev8lcpD6XETt0SalMFq0kzYMcS4kCEBzQIugF9vynaZNqM/yDgf+7/S0r2FYdH7b2KPv1vZSVBkq1eHlGutoTUvb1uz3sFk8UO4rzs8vefL8KXESURQSObHdFaRZxqSPzfA5eE3dyEZnt+X+/h6tFC+ePWM+m5BlCUGgub9/GEKsm6qGyYjZfM5olOGcoCCRQnQFkWhULi9O+XjzwL6qcTiuLi/4+c9+whevXvDpwwc2qwVd27BYNCxXG1brLZtdxXqzI8sSj6SKsx9Kk+WOtGnQgcU42Wg1nYRvb9druq4TsftYQmxDTwHpfwW/jz4OxUBQJyXwoDRHXTtoFbQKUGEkvwJvK+9pM327LaYvbvjcB+qDs2AMeWTJY9H0dF1H1fUoqvLua5LVmSQJSSKueGEY+uHTDo10Zzq6tqHzVKa6qvj06Y7/+Hf/zPtP94RhwNHRTKz4TYdTAqLUdUNV1wSB5ujkmMl4Sj7KCeMEcF7gL/pAHYRer6g9GqVo64pyX7AvdrRNzeTomPFYeOqCYOrBal80G15v52mL/X02HOpes2G6dsgP+/jxhq++esP7j9fUdcN4POLi4oyLqyu++OJzTk5PiOJYtpxdSx+F0rTfb7H8h/hY3t4Ppg+hpy+KuYPfcKtDPbP2YB+PB7p6iu/vpeN59NQNA4Q40R7+wiMIDf/X5fce1R3rfLJV7wLs0fD+kH28vfsOQKeG2dFvozWBRyLlXgy/41BonXdbdZZIWfLAECuHbSr2RUBZ71gt7kmTiLOLM8I4pihKPny85mGxJh8fiTtvnGCRLDfZPjWslg8sHh5QKI6Ojjg5OSYfjQm0ErpNVck5oJTkQ2YjgigSR1eHDy6OCKOEJA959uIpy+2W7a5EBQHT+RF//dd/y49/+if8+lf/wn/6+//Ii2fP2BU7fvOb31K3Hdc3936j52iajpWv0aJLjWmNJbSQZRmWgLo1fjNph6EdpeisozWWoHO4UHTPgZbQZGP7dxoPfopmUQ334SHeSTTdcmAbD15iHcoX4aZp6TpL6VfQ1hiJi7KOzooOchxJTHbgOkzrKJFIo8KbVIgxiSbwrntJKo6yfQi0U2qgJRvTYdpWhqvtmtVqxbdv3rBaranbliTRpFlGnmcy6LUNpnXsiw3b9Yq2bZkdHXN2fsXs+EyyxcLIAy9iLa9UQBRGvsbKprHcFxQbiYdyzhHHKXGconxDaTyYkWQ5SQBpLj4JOgzRWloYMYgSrZLppLmtq0oy1baiN33/8ZqbhxV13RIGIVmSMptNmE5mTOcSZK2U1OC2bSSYvv1+atYf4mO1Wn+H9tkDUT0oFUUxfv4eztbvuCf7x3crzqM+7/EAMDx6oM33W0627sOzKeU9EvTQN/QAW8+KGfRl9K/DDyf6MGCGYUikw4ERdFhiuGFoHAxxBtAPXNtSFzvMpKLeF9y++5btbscXX37BxdWZSBGMY7nest6VzI/PODk5JQyDR94ERgDY2xuuP37AdB2/+Ku/5OnTKxYPDzjbEmvN29ffslytOT0+4Yc//pzPP39FmkQUZUnddoxnc5LRhLppCOKYi6tTni0u2S637PZ7JuMxf/vf/zuePX9BXVX80y//mbbtCKOQfbnnJz/5Mb/93Vfc3H7i6OiIstzTdZZ37z8QxjlxnFJ51kGSZURJQlHW3H76QF1VkqToIxY6Y6WfDAt0FA2yFjVcN48YL6rXiyq0bbBNhSl3qK6Uz8EpbJjgglh02ii+A1r4gRF3cA111ssknCXAEGJxpqOrS6qu88sh6001o6H/CULpieMsJ44O+si+/rZNQ12V1FVF2zbsipJ//OU/8dU3b3HOEoUho0lGlqXSN7WN93NosZ0hSccksWiwwzhBB7GXERmatqbcb2gaw+WTE6I4w1hJN9gXkgfc3xqJj83o7yvne7QwCJjMjxmNRjAAZ3J2PdbiGmswbUdXV1S7Ncv7O7ZrqXd3dwt2xZ58JNrYF5+/YnZyQpokiATC3w9+cN5vi++tG987LDZV6RFU1/dKA7Id+MDUwUY5CB5pbA40qt7g5DFNC0B5xLkXlx4uDobVqunfFPpVtPahrZ6KGGgvbFbDADgUqb5LUjz+D2+uo/xr8rk/HKh9Q3Bvj54568PdFZEzhAZc01HtS0rkg52MM45P5gRBQNt0rNdb3n24oW46Ti/Pmc3mgxOl6oucF8liLbP5jKdPnzCfzQg0mK6VSAXTMspTTs+OOT87ZTweYa1jV1SYtiXPEnCyiQ2DgGdPLkEFZNk3FPs9f/5nf8IvfvEXjPIRm/VKbholW4IwDDiaT0FrkigkTRKCIKKzjl1RUpYVoIiTvVBCdYhF07Y+UNv0jZQMD3VVYZMGFyCb2zCSjW7QB7v276cb1vk4i3L+30jDFUUJOkpQceppqCFooaDi3bOcFUGzoOjWO0j6jDscSaCIEzG1CfD5laYl0Foc7pKYJIoGQ58oCrzb2iMNmdVeK2Fou46qlCDg6+tb/vO/fsXvXr+jrBqO5xPm0wmh1lSlNK7WWupGdDz5aEye56RZJgCLp1U5d7jGRpMxxydnREkyILx9i2+tbKFH4zFxLFk9PZ3/oDMJBQVUB41lP5g7x0DBdaZjvVrw6f0H7u4e+Pjxlo/Xd2y2BUkccX5+xk9/+hOev3jGZDYVQxdrhdLVtV7PBNvd/nuLyh/i4+HmRupVKEifUBtD0ZLq72pqeFQDAYK+dvkGpK89favT09of66CHMvB4tntUH3stTf/n1licFuDL9R+zj2XQephlD1/tHv/fwa1OaKyBH1590+V68wg5pMUcyjDWjtxoTFOxXbcE7Z4kiTg7O2MyGdM2Dfe397x/+462aXl6csJkOpH7XPXRHo62rlktHmjqitOzM16+fMV8PvP66JbtaokzhiiMmM+OOT2/JM0y9sWOxf09SjkxAvP0G43m6OiIV69ecXMn9P9Xn73iT/7szzg7u+Ttt2+Iooiz81OCBz2Ee1uUZIVZaLsOh2I8maDCmCCMaBuDrhqcE6ZEFEXDfRbFMlAq79BsrP9MECZAh/luo4xEW2gl76d2Fm3NYI5lrf/7oX/OIBb3Z28m1w9Jra+1bSNxAZ0xA1CUhgoC2Sg601GWDWUljJXOWKJQzso4jkmynDQbyzYxSj1LQx/OV4R50NQ1m82Kh4c7bm9u+fjpmmJfYjpHGMWkWUKcRBjTYmuxXy+LAlAcnZxzdHzGZHpElOaoIKCzRuigrZjsjEY5YRT5xstgTIdWSmIs4gRrLPl4Inmy/l6xCB0xSVKSQBF659jh9ftB2pqWrqlpm5K2KiVneCND72q9pawbjBEDkqOjOUdHR8xmM0ajMVHkwVLb0TY1TV3TNp0/B/+4HrvdjseI1cB+8NvA0JvbhFEkkRaBFlnDID84bIB6eOwRs3P4p5xfPf3dYhCn+X5YA8BYjJGhpAuNd5nWhD3d1ctMBrTN18SehnoYYA/Dar/YCAI/OAQBytO4h0a7XxBYJ7mN+4r1/R1LXVBsN7RNxcuXzzm/OEUYSZa6bvn06Y71ruT0+YTEO55qDxD78iRbcOc4Pz/j9OQYcMyOZgRKUW43tG3Nk8tj/u0v/g1Pns2xtmW9KrhfrNBRQjbJ2O5L9nZJFEVEcSQMLwcWx8//7Of83/77/wHjHN9+8w3b3Y6L83Nub29I04z50Zxf/epfODn5EZPpTJgeTcf86JgkG7MrCorFiiwfE2dj2qb1vXWINdLvqjBAhSkqSmVE8wxCh2T8uqEp7/X12kuD5L1PbI1u9+hqg+5KOgdWR7hoLDRUDgyMoV/vrxqFyCL8HHA4Bzu0cdiuoW0cWreS0hAooigkjoVtkCQxcZp7z4ZwkCr1Xg1tXVOX+4EtJpmTH/n1b77mflUQaE0Wh8zmY+T8qnA2BJ/KEMcZSZITJ5kw6rSYBzqkfjR1RbUvSPILjs+eoHRI5dkNWolbrkPyY7N87AGvfmHm5PezDBVPxUW1Z8/5RZq1fZa9wZiWtirZrVYsbq8pths6C6vVhvVmDzguLs75wY9+xMn5OToKD/enk17Tdh1t3VDuv7+v+95hMYqTwSXU+S0QeIts/9+dR6R6g5ueIip9lBrooo8zdB43TgcK1AF1HSyPHzVg0jxZjJGv0cZgtMZ03uq+p2dpfUDn/TtyeA6G1903ayK0lsNXB4dGUF69QynZNkUaQuNIGktgBV0Ig5j5fEIcp4SBoi4rtruCr795x6ebe1ABs+mcLMtkYzUgZYKgx3FMnqeEkQwYSoslP042U85anlye8er5U9I0wVjLzd0d7959JEkSri7OSdOONE2YTiYczUdk+YSi2PPm27ekSUTqM4LqpiUfZcynE/Z7RZ7nYj+txHkuiGI6B5uipGpaWmMZxxKTsK/l/7Xf8oVhTJrmdE6ukSSfEEQxvWGD85+PRbj//Wcuw6IMyMr5aA134LMrpcSZLc3QcYrTIbanO+i++ZSbvvP6m6ZqPD2mE4RJgU4iwvmYJFSESuikOLHIT9OELEuJ/EEoOZp6QFV7wMDaXlDfUpWV5Iw9LHn3/iNv331kV1R0VsLFkzQWfc+GwWkySRKyPCdNM3Em7JtA/zC2H3Idk2xOno+9s+Bhguj3g2EQHoqKUn7AdkNh6TVOCjVsiPr3tD9Zu7Zhs1xyc/2J9WpN2zSDwU0YCBXmL/7iz3j56gVpmgyACj1w01OSjBSiP7bH7PTE/3xmaD4bY9FdMwBfvcmS1oEfJoNHNedxOLSnh+oDDDVk7eF7nt6Vj36hNOyC8XGvQ/PRD/7KWg8I+DxYHEpZnPPby9/f4IN/ogPlSp7IDX80AGcOeuRSAt4dCQ2qLamaPV2aMM5SJhMJee/ajuX9A9++fs3d3T1BGDKdzwfAo6/3QtEUSnyeSyMzn8/I8xwctFiUcyRxxMnRjKfPn3NydkHT1Ny+ecdXv/2K8Tjn2YtnWC31IQlCZvMjvkhzstGIm9tbzk/PSNOUpqm5/viR9WrF4uGBh4cHrOkYj0ZejxwBUNWNUGVBIlAiAfOMzyELgpg4imSr691xgzCS2hSlAp45oT4OgdLDOy73XaD8wIjPG3MddDLQdK1oCXUQEsQZKs5QYYLTkWiNtZaNh9dzN01DXUnNkXPCocKAUIk1vTENVVlhnGzCwiiUTWKWk43GpNmYKM7Qodcy9xeAz9xsG4nUWDzcc/9wy74oKIqS7bagqho/wMpQF4YBbddiGyvmXGHMZDZmPJmT5ROCKAEVeDqgDF91VdKZjjBKUDoc6N2B1gRZijVCObZGzBzCMPb3gAd5/cASBAoVSMPT65KsM0Jhriuqcke131Ht9+wLMaswpiFNIo7nU45mY7Is4+WLF0ynM9I09aBYr30yspH0WYyLxeK/ubb8X+2Rj3J/uX5323eoe4bWG4MMnhHBISYoDPq4oEeGTv3f84aI/XQn9ZKB/m6VwVo5p3pADCX+AJ2xODqs1ZjADjFFQ35tv3iA4Xv2vaPxpjfitC5a896wr4/eUKrP9GboB0XL6AQQW+5ZqjVJHHP15ILjUxn0TCdgzfXNA2++/UBZtSRZJoBG38gj1T0KA+bzOaM0YTIdy0BiW5G3BBprDLPZmJ98fsHzlxe07Z66qnn39pr3n655+vJzwonQ9hMt4PJoNObFy1fk+QinPnJ1dYUONIu7e377m9+yfFjwxWef8eb1G548uWI8HpPlGa8+/wyUolyVVE1NmucEYch2t8Fp0fbVVcVmuyWKQqbTGXVVoRwESU4wPiGanRNPTyHOfPZwr+k/bJQHZpdz2E5MDwO7IzIFqqvQtqEhREU5pBNUmAysxMfXTr8wkm2X1D3n5HxwyqFo0daB7XCelh+FIWkaC+Mhy4iSjCSJCeN0WGA5oI+ta+qKcr+jKsX5vq4b1us1Hz7esFrvqGpDoGWT2W+eOx/no73zbpKJE632mdf9BWUtmE42ltbC8dkTsvExXVuxWNxju0Y2vXvf14URaZ6jVDCYv6LwMYUJdDUic3jEevT12naedbjfsVksZFD0UWzKaYpSZGln5yf86Kc/4uTsTAbnvqv0F21Pm27blrKsv7dufO+wmKTJcBE4H/TsPJWm/8E0BwqAIOWH1SZKiZ0tkqfkHDKU9RlmQe+K6r/WN+l4e/eertN/aO5whR52hY8OFHkP3HAxHy7kA5XikDV2oNeGXuul+3xILS5aQxisBz60M2jbEWlLnibMpmNxZHJQVxWL9QOfru948/6GsqyJwkioh5HPfDIS+tm1regW/Xu1uH+grRuePHnC+dkJpm3YrVeMsoSzk2PyLMM5x2az5c2b99zc3vPi+XPQAbt9SWesZCQiqOvTp0+wDsbjCW1n2e223N7deZQqplq2lFXjczI1OixpLez2layt85yXz5/x/PlT4jTl7ftPVPvau7sHJEmMcyMsinQ0YXZ8SjaZYuOUjtBrThEedSfXDn6IUVZcsQIcgXaeVtBimhrbdUI7VRLW6h5tgXsaijTHgurbYWMmKAvOYJU026GyxMoRakdASBDJoJim6aMcxB7M0MM15FBY66mrdc16vWXxsGC72QKOcZ6hFOJ2iiYOI6HSVRWt6QjDkHwk+YZpmgndK+jzhOSC7X+Wuqpp2458NB+u3V5z6+j/G6I4JclGslnFo0FGUK4gCCSg/TsHoWQMOdt5l8GSzXrNZrVCoXj69IogiJhOb2g7Caz+6U9/zIsXz8iyRAqs6weaRzRF66jrjpvbu+8tKn+IjzhN6ZoG2lYaeSsDt3Hf1boo3EBX7TU5Mjw+2kiGIVEUESiv4Ql86LQ6aHJkhjePKEySX3pA4g/XQT/k+V2x/9qD6U5/6B62BfL4DuXeA1RDo8V3/+gATXiaV9dS1zuaYsVsopmMjzk+mpDEMU3bsbi75+bTJ5YPD+KIHUTigqo0nX/9fahIEIhrpdQDw2azkYFMa7qmwtmWy/NTLq4uyfKch4cF796945//+T/zcH/Hj3/yQ5J8JPbjSvnsS6GqJmlOlo+YzebYzrCpVlxff0RpxXq9Epp/EJDECbuiwAGms9w9LNhtC0ajnKPjE46OjpnO5mwL0dUlUUyaJkRRDCogzmTQCrMxYZqjgmioFf2ZaD0w43yNU35L228WA9fiugbT1pi6xKKIEsmoVXGOCuV7+ZBOcTHtP8vvbE4krzEJHJHqvC29mOMopUmSmGwkdNM0G5FkOXGci4ueElCp14u3TU1VFmzXK+7ublktF7Rd7en5KW1nqFuD1mJOJ5FKAdbIDjrLxozGE/LRhCjOUEEkWx/TuwZW1HVJsZNMWnmLZMDDMcha2jCUITiOSZLEu3IeapBSmiCM0frQ5EhD2dK1EqNRFTv2uy1lsaWuK4wxxFHMZDohCEPSLGe9WnF2fsnz589Is4wgEO2l6/qmSYbOpqrYbgvev/3w/9tC83+BR9O2fqtmBmrmY3B+uObc4ZpTuh8Yw0G6ESex18j7LR6PalG/eqTvSx/1cX18j49g6L/h7w8PUvaEfi/mhW74/R68U1qjrPW9nO8fD92hj7pSfvPXZwfKP4RCCaFTBKZFmYY8CTg/P2E0lWtDri/D3d09X3/zjruHNU7HfvAKeizO2xw42qZlu15T7raYpkaZjizPiKMQqxX1vuDsdM7x8Yh9ucU0HZv1ljdvr7m+v2d0fEletzgNsa/3WZYxm82ZTKaSZx0GrJZLqnIvMTB1I/Fcu4I8G/Hp0zVJnNI0Lbe3AvwI7bTl6HTC+cUF89Nzmsbw9eu3KCDLUurxWMyeXEA0mhFMTgjzKTpOIRSA5tCD+yHO1zvX5136pZK2NbqrUKZFWUMXTAizGWE2E9NC368MZ5B/3sEXYIhMkZ1doAyx6kiUIgoUaRySZxIPkmQZSZoQx8JOCMNwcJJ2jwC3tq4oiy3Fdktd1xhj2O9L6ro9xJ1ZI+wd58T0MIpkblGKKEpJs5w4GYlXRN+P+fov36OmbRrCUEzWjOnYbbesFrecnJz6SLw9zjniKBS6fe+6P9w3eGBED/eh9QO0tZ2A2lVBsduxfbjzFGfL2eUV8+MTVss1FojjkC9+8DlPXz4njOMD+tyDyf79tUY04StvrPRfe3y/wY1MTPSWt0r1iBCDU1HvSEXXu1z2hM6ekuO3iB4hCsKQ2Gvs4kSa9n7LEyYHp8Ve39hz0/vton08PLrDQf0dLvzvFT+tHcZq9O9tK3sKQT+8Shj3QWPn8NqT/qboWgLXMh9FnJ9MGY1Tf8FVXN/e8+79LevtnrZpUSiCUA5XpWQbO+gqvNGItTI83t3e8Ntf/5p/yXNePnvCdDKmqQrOjuZEYcByuWSzK7i/X7Bebziaz/jssxfMj2asVyuCQAkyUNdcXD3lpz//Oa++/BFZPiIfT6jqlrquOJpPCeOIompYr3dkeYYOIqpdzaYo2e0KTk6O+cVf/ht+/ic/Jk1jNtuCxXJDUXVDflCcJDgHBk2SjYizkWwWe0Mi552q2lYMgZoGazrfQEqBiAJpeFBOOOhNjTWGwNN13aPzZmiUfP4lTg6KKIjQiYQGOxtgTYd2HUkIsbaEyghFIQyJQk2axiRJRBxLUy8FSw/XjdaC/JX7ksViwXLxwGazo6kbRnnGbDphnOf853/9SgbeIPRIuyCAcZwwnkyYzmbESTrkkzJcx3Itdcaw3xc83IvzFjpiPDvylv698YM3FLBOjBwiOTr6gcJYAzgf8eDvA3fgnzdVQVls2W3WPkzciSD+7JzxZOwpEDnb3Q7jHM+eXZGm8TBI9Ne/8UHGzkLXWd6+/8h//s+//t6i8of4aOvaN7jW68uQOmDFSIQe9bSWQWnjeoaC8kipZ0+EAWEYEXg6V5zEpHFM6HPLoig8uPn6xqW35paiY4c6pzxXddg7OjF50AqMv2Z7qtYAeHzn7w93z1CLvVqEgd2l1XBOKeRQUF1HW5WkznB1eszV5Rl5mlAWe24+fuL9t2/p2pY0SYnjiLYR4MJ66nZvvKOVbBfSLKPcJywXC+6ur3HOkkQRaRySJQFnp8eEWvHV737H629kW7nZbDk+OeYHP/oJVy9esNuuKYsd9d0NnbGcnF9yfvmEk/NLlBZt3Hq9outazs7PyEcjxBEvpLOGm9t74ng76BUnkwlffvklrz77jDCK2W4Lbm7vKcuSfCxZt3GS4AJLGGfoKCFKcslgDKWJ6M+Z3sq/d2NmGBiNHxQ7lG1xbYVpazAdYZIRxRlRkqPjDOVzBXvzpMNWWrRYJM47QwakEeS6I6El0Y4sTRglwu6Jk0SamjQnjFKiJJWNngpkfLVC2ayrPevVgoe7WxYP3gUwSzg6uSDPcxwC7HadB/bCkDwXY5wozvzAnpFlY8I4Qen+87cSAt7W7Pdbiu2G9WpF2xmOjy9omwql/QAYRCi0R7gNYSiZpgPLw1jPGjk4BpseyOlaGXb3W/a7NfvtlmK3pes60ixjdnzCZDIlThNMZyjLhuP5jC8+f8l8PpVYJ3pw2wPKXefDvEvev/vAV1+9/j+m4Pz/8ZGm6RCRMhhcmUMP9R0MaRgOHM4YoWw2DfuiEKA9DKSuRTFxEkl/0JvP9dsjvvOE9CC+82F9fZ/X//EwP+AHx+/AdYflgkL5uG2NC4JHcUD91vBxnXskg+pZGDogcAqCjlgbjvOEJ1cjprMpVomLcl3XvHv7gQ8frrlbljSdIYjCwQXVKaGG+k2JPL3WlFXF/fU11rTkWSb0a60IlOHzV0+ZjMcsF3e8e/OJ27t7Vuua8XTO7OQE42C/29N1hizPGU8mJGlKGMdEaUqepBhrmUwmOCcAvnOOXbHH2FvWqzW7ouB3v/kddduIwV/b8vTZc/7ir/+Ky6sndMbx9ddvmEwmjEc5+2KPtZY0SWmDjDCb4uIc68T40LatDENN7fW8DdYbyyg86BPFRIE32KNDmQZnjQzSyZRofILKJsNw2Pcr8Cj70h0+40AFKO0IcYy0YRzBPA+YT2RRk+UpaZIK6yOKPIgoywblwQUZ4lqaqqLcbVktHgT4V4ogCAnDiJOTY9ZFQxgGcj0qRxQGHM1n5LkA/nGSEqcjMdQKfUajbLiwzgg1ti5p9nuacg/O8fDpW2yzp6wMykjEGiDvn+mIsoQgPAyKPeDQZ9YqD0DantllOkxdUpYl9fqOxf0D+2JHNplx/uwl85NzdBhhzFvCOObq6QU//PEPycYjMbVzcu0f5qNe592xfFjyzdfffm/d+N5hUWmFdv4G0xKY2VtlY70g3niramOHwPIBZfAvSD1yTQqCAB1Ggr7HsTRSWSpTvDcaiTxa9di2+YAU9aWAwyDhEUjjzWkeN0pDo6Xg8Y7gUFd6O3vfMCkl38PrxvrB0lrZXKUxnB6NmU8zwlBR7Etubu75+OmOum6ZTSekI0dR1diqJc1SuYh7R9AwgsQSakWrlTRabctyuaK6vuH2+prj+Yyr81POTmbc3tyyXC4pypo4iphOx7x69YovvvwBSZpydHxMHAUESgrU/OSU8eyIrGwIoph8NMJ0lmw0EUTYh7mPRjkXlxcY63j99iOr1ZqTk2P+p//H/8Bf/eLPyPOUfbFnbToRF2t10DKEIY3uRITuIy36z6dHKqSwNENhGVxytQx3hy2LAwVGOe/uGROEMYTRwb2qf27/QfZUvygICbToSpVrsV2L6irGsWMcQxQ4okAThZo4DPy15Q1MggDnEOdVJ06ipm25f3jg5uaGzWaLsaKjOj6aM5/NyNJEXNacJQggzcSd9vTsjOPTU7JRTpblZHkuFs1K9KQ95QYr+Yyb9ZqPHz9yf/+AdY58PKNtaqE7tHKq9q6QzlnSNPERDsZT3zrvAGYYjGadDN1tvWe3XrJdL9ltNzRVRZyknF9ecHR6RpaPZTPq4wPG44w0yxlPcn+ge+TeSVNmrLji1XXD9e09/+E//AO//Kd/+d6i8of4ENMOBnS0B3JM23rava9rPQXfF1rJk8LrGQ50d5TUklAHhLHoYwVoiUkTce8M/NAoNHpPfVcMToL9Z3FogPqhEF+v1MCs6IfOnjrcO6v1IJs/J5CFjcL5wGPlaWOB7odFRYRGd0JvfHIy48tXzzmejdlud9x8+sTbN6+xneHs9JS6NVzfLamsI45jeT77iDrmX1vv1Ftst3x4/47ddotyjiyNeX51wdnZMdvNhk+fPrHfV4wnE06Oj/jsyx/w2Zdfko0ymralqoXmUxQFsxPHaDInyUYY4wi0pigKoiQmT+OhOZxPp0xnc25v77hfLNkVFUezGf/ub/4tf/qnf0KaZaw3okdeLhZo5UjimNa71Snbyfut+0ggPXzOBwpW/+swnIOPDPA1K3AWi5yT6IAozcWAIU1RfoM5DNvu0DQHWpPGEVGWkCURkzQk1gZbbYgtTMcJJyc540y0M2hNFMmAqMNYBrKBomywbc1+v+Ph7pZPnz6yWi4Jw5Cz81POzs5I8xRjLLe3C58XawnCkMlkwvzoiDQfEaUj2S7FiQzP+vDarelo64Jit2a7XrHb7dhut1ir2O+27IsdOkikqdQKjcQUNHVNPhoJ+OH6UHZvrmU6v+mXc9i00pxVZcFus2S7XlHuS3QQcHx2ztHxKePJhChOAMmX3O22TCcTrq6uiGM/kA6DvhkinMqy5O7unm+/fcvHmz8+FkWeZ4faYA8eBF1nvEGQr3PmAGq7/hr3JnIHoxs1UOeiKCJOEpIsG+QXSRx5cKz3sHjsX9F7GTD0aYP+8DFJQvFfPA6D32GUDIZe7zCgyqbysRFiP2zKIiRwDttakqDj2fkJ8+ORREY4S93UvP7mWz5+uObk5ITSZXzz+huiOCQf5bJ5dIIHaysOnEEYiG7bdDTFjpv7Ox5ubn1IPYzzmGcXJ5jW8Pbbj7x+/Z4kTTm/POPFF1/woz/7cxpnKHaFH6YteT5iMhUDpp4G3G9rrbWSlzqdMhrl/M3f/A15lvEP/+nviZOY1rTU1vGTn/0Jf/Pf/XfiAgx8+nhDVZWcnpygFfz6X39NsVnLfRZo0WR3ltAaYYEFAYEKCXzPak06sADllTAAkYFSYnZoZYMNAUE+J8ynECf+iLLe+b3DGTfUT7xrfRZrwiAicYrQdcwDzcUk4vIo53iak2UyPId+QOxj1Q596CGSra4qdtstax9EbyxcXF0xmx+htRLTwrvlwCLUSjGfjXj69IrxZCL6xyQVQKyPI/PXqvMuwV25Zb/bslvds16vxO3UKbRr0cmcNJ+IwaURAzHTdYRh4Gm9HjTxg61pK2xbielj34d1LU21p96u2a6XbFf3OAuXL7/g/OkLkvEMrbV3jbaMRjkvX7zg9OLMs/UUh9QHee2mEUnEernmN//6W77+5t331o3vHRbTLB3gZkUfS9ED7hIP0NMAe6TKOTO8qGEt7S+kx05aEmwuw0RVloIMBKIdSZOEOI6+Y6LT3+B9hMZhK6i/Wzj8dqtfkQyl5LCBBRjEzX3he6yTlMtV/t/4y087g8YySkJmY02ApdiWfPp4y/XNA1GU8OLyKePxhLvlmo93D0RWMR5PSJJEKGrWYrRBazXQ0tIkJYlFS9O2HcW+pmsX2M7Q1CVZFJBlCU+fPhEtGYqXn3/B2fklSmsm0ylRFKIQI5MolnDx/X7LeCKmO9lozGR2RLFeUtVb2tbw9MkTzk6P+fDphrLY8vTqjP/p3/8/+Zt/+wuiSIv7Z1NR7DbU1X5Y5fehuK3pcHiaRlOj4hpjFcZpabC9dbVSSvRAyPAXhUKbTCJNrCFwLaapsCYUo5Y0IUgTCJPBkhp85mHvYq4UgdIkYUCWBGSh5CQpUxO6hpFuOEohi/AGTEJRCR45tCqtBzRV65Cqqvj4/j0fPnyg6zqmsxnT6YzJdEKWJijlaNuO24clq3VBEMRMJ2M++/wlT55eMpmOyfLcmy+EwzXp+xFMZ9gXBXe3t3z48JHFYgVKcX5+yfn5BaPRGK31YH1f7guqfQFOGlesZAI5RJ/ZtQ3O9HrPDtd11GXBdvXAevlAXe4Jw4iLq6ccn56RTyaoIEaoc4bWWNabLc45JtMxURh8p/gba2najrZpKbbS7L17+5E3377nYbn+3qLyh/hI0nQYcPqBy/oN72DC5Rsn0/W1z+sHjMVhBxp9T4UadLiBJvQgSxCEPojd4YxsCQPkOvkOw4FDbZO+xscI9FSSgeL1Xc3R8HseGe9BNAG75Pv026o+aDvwAI7SAaH2B3lbMw4dr55dcHo8o64Krj9+4v23b1DO8uLVS+ZHc+7vVwRhwDhOmcxmxHFKEHoKZs9Hc37scUrMoqqafVnRVhVroKkq1usVCsPpyRGf/9sfcP7kEmMs2WRKPh6jg5DZ0RnHZ5ekaUpV1aIZCSJQAVEkWw4H1LWg3qVvXj579ZKnT5/x1Vff8Pf/6Z+IgoB/9+/+lr/5278hiSOKYsdq+cD1x/d0TcVkdiQN0b6R+9jJeae97qVrW9A1hgBjPWDZu6DKZCznkJL3M9KOGEPoQkwT0tQBqJDYx3SESSKmOe4xGCrNpdaaEIjDkFmecDSOmGYhoatpioiYlCdnE85OR8ShomqkPj/2CHDW0FnZ9rZtw3q95O72hru7O5qq5ujoiMvLC46Oj0iSiNZ0VPuK3a5gu9tjLIRRxOnZCccnp2T5mCjJhZIaSGaitQ7T1Zi2pqoKis1KBriypO0MYRgzGs0YT2ZopXwMkSVqQ5QHx9quQQdikNR1HQ4/eDYVXVvL83ctzjQ0VUm527LdrCiLAucc8+MTTs8umJ+ckmQZoOTMaitWiyXb1Zrziwums5nXPUp+bl0K86VralaLBdfX13z8eMP9/Ypt8f128n+Ij75J7Tcw38HfH8VnmO6QYde13RDtZHxsl6c+0NclMfoIaJqOzuwJqnro38LwoPOOwlA2kr7WPR7k5OGb8f6fPbuM3mlY/vxxVAPO+agF/ww9NmId1rUiJ3g8gD5y7+yqkkxbXl4dEwYCUFT7kt/+9ms+fbzhRz/+MU+ePiH66h3/+MuAYJQx8ewc570m8G79UU/TTWUBEgSBOOi3cr1jWr756jX3N58wXctf/7t/Sz4ecXN3z/H5KfPTU8LEDyXO+xoYQxwLq0t8JrQsa6z0AfP5Ebd3dzjnePr0KR8+viOKIhrfr/35v/kL/rv/+//IaDqTbOV9yXq1pmta4jQUJ8zdhnK3w6HoTIkzCkNKFMQkSqNsLFiyBw5w3uFZHTZjKLFOCxSozqJtg7FinKOTsWgVB02rD5VvLYZu6MEVliwJuRyFzCZjpq4A0zANE+bThNkoJUmTITZM+1qL0sNm2XlAt/Mbxd1mw/3dLQ9eW//81RecnZ+jg0BiLpqWbR8FB4RhyPPnT3n67ClpLqyJwLvADixHJ4CKbfZsd1t29x9YPtyzXS9wKGZHx4wmR4xnJwTpEVGcglJeM7kZsrGdk14La7FdQ1Pt6coNTV3iTC1DXddQlXvKzYpivaAuC8LRjKdPXzC7eE4YhjgRBmONYbfZcHJywvPPPyPwZjp9f2A6if9oqpqq2LFeLXn35hNvX79ns/lvMLjRSg2agt5xdLAQd48yDd0jTaDfOtqhgfk9m+JHF1svqHbGDhsk01uGG3vgyuse9v4vIaYh7FVriQ/woeHDoBk82kyqXqtxeL3S+ImWxvmgzoHCoA7hs1oZCDoCDVjLZiP0mqIomc2POL24ZDSdU7Ut5c09ZVmjw5jReEySpKBEZ6ecw5r+vRM6TRjI5qvSajgot7sdeRJy8vyKH3zxipPTY8qypGkaprMpYRQIgkzgudMOtCEIFFW15/27t1xctEwmI+pqz67Ys9kUGNsR6ID5fIpWUFd7Xj6/4q//9m/42c9+iqajrVrapmK1uGG3XoBtSUIfkov3sbKisar2e1S0IXQhLmwxBHTGDUHQOoiGvMUg0MQeGYs0Qs1qLb05eRCEovELY1QYHjpb/LLER2VoIA4D8iRmkkdME0UWOmKVkKqOTLekQUdEg6Zv8B02Ev2DdeCMbBQ1mtV6w7u371kv7smShNOnT5jNj4jSvjg72qahWG359v01dWuJooSTk2NevnjGfD4TN78o9gcmQ+NujESlbDYbbm9uuP50zW63I81STs/O+eLLH/Hk+UviNBuiMOS+sN5kAKEye5fcHmlv65K2rjDtnq6paModxWZDsdtgu47n3Ig4AAEAAElEQVTxZMLs6ITJ/JgkH6HUwTDDmo5qX7BerdBBQJbl/mA1GBjMHuq6EV78dkvbdsRxSJp5PdEf2aNpam94pL2xgj/8AzmIlNYEvhkx1tMEnc8mtI+2So9oJAcjAB+b8IhiY2HQuZmeIuXBrUEX0tdXDkC70r0jtN/yBwcHw37IFVqkAeWjcDAHAwhPqzWmGzZXWmuCSHSWSRSQqpa4LElTxdE0p9xvufnwjvdv3tB1LU+eP+f0yROJcblbYq0ln4wlzyqMCHCH7esje/weTVYcAsCbpmVb7Hlydc7Ll095+fI5Z+fnoBWL9ZowioiTbGAdpFlGnKSMJpay3FNsN+x3W7JsRJZl3N/fsl4vydOE2DuBTsZj4ihglGecHh3xwx//hH/3t39LPhqx225YPDzw7vU3bJYL8jQmz1J5rbaThlB1npEhsTzOtLi2wapw2Pb2+tDe7l9rRRxpeT8DRaId2jZ0tSYKFEaFhHGM0gfqqbMHHauUOk3g2RF5EjEdybA4iRyhVRBEjOKQk1lOlqSgLKr1WyDtWTW2GzIKjbVst1vu725ZrZaEQcDF82ecX1wwHo8IAjH4cY0wCe4fluyrBqsUWZ5x9eQJk/nMo+yxUOCVuACatqYudxSbJZvNStwG2xbnFOPxjPnxOafnTzk6PkcHsrlUWkn+MMJ0cNaSJglaKdq6lPusa2mbkq4u6BoZRpu6pNrvKDZryrIkimNOzs6Zn5yJOU4syXs9lX+73vDu3Tu01pyenxHoQKQiTswrOh9jdXtzw+31J8qqATQqCDHm8YTxx/Eoy+q/NOfy9UcrTRAHQMRghgFDD2ddr5+yBxCtj+IZerTv6rz7v9e2hqbpgIqeEh9434AwOJiH9V4S33XXVwPAZXvAywkN/7tLiANtr+vZTXXjQQYzyJt65+tca+hqfjiOOZ6k4DaU+5I3r9+yeFjws5//jBcvXoATamIcaiazKaPxyNP3Nco6XBASOEcQReg68PXDyM/n+1jlZDLfFwWnZzM+++JHnD9/SV2W7LuO8Wwq+jV1AC2d1jR1RVFsCbUm91nLcRSxXK5YrzY8ffqcd+/eUtc1D/cP3FzfDNTQv/rbv+EXf/03pHlOXVc0Vc1y8cBq8UDbNGJuVe2JNaRRIDnKSh02+lWJRQvtnn47dejp4ZGGP5Q4vVApAmtQXUtrHUEcSoQOB/dlWcbYfsakd8NPgpDZeMSzo5Cjac7MGpSKGYVG9N1R6I0W9aEPsQ6L0P77mB7TNNR1xW67Y7lcUOwKjk7OuHr6jMnxCQpxrW2alqIouH9Y0jQdDsdsNuUnP/0x8+MTwijyjqp+UAQwHbarqfc7itUti/tbtqsHrLUcnVwwns5JR2PG8wuy8Qk6nQ2Z9W1TU+8loiKJEwABYbqWtt7TVjvaUhxzXddgTEtXyTlXFTsscHLxlNmzL5iMp9BnNAJYQ13u2RUFFxcXjCcTaSP8ud92HWa/Z7fdUmw2bDcrdpstbdOJudj/1gr/0eN7h8X762tpmCLPBdaCEsRRH/rd3+DaUxE0Idqj8r+PesuF9V8Y0PQbPg5/5xHLlD4nx19e39En9kOnr2b+JkMaqFB0af1rlyBzOZgG+lBnDiia5+4Ohj4KQAtFS0mgdRM21EHDvoKda+iMY340Z3p0Qj6eURvHer3j0/Ud292ek7Mx0+mEJI6wDjrX0uERj0Yc18r9Hmet0NTCgKoPW1Yxp2cnvPr8M45OT7AYqroarKVx3qzXgbJCDWnqii7Q8pymZV9sWdzf8pvfveGbr1/7jaZmlCWMsgwwTMYZX375Q370w8/ANRTbHV0jOTHb5T1ttUO7jjiIidMIM5/4DWZMWXc47Y09ghDnne5CJch5H53So4capHh6wwfXSUZMU1V0bYMOYj/QiIOpAi/5e+w4xvC8QSDuY0mkGMWOUQBZoMgCRaQClIW2rmi7js4a0cXGflfsh/7Fcs2Hj5+om5arp0+5OD8jTRM/XFlQ3pio7XhYLLm9fQAccaR5+fyKi4sz4iQR/Yv2zlV+29C1LcVux3K5ZL2WxmY0HvPk2TOOj4+ZH50wPz49DIpKBhQiMQ5w+IElilBKhsXWb3y7uqStC9pqJ/SEveQxRlFEMpkynorpRJCkiNfUwdxJXldB2zbko5woCulMNwQYd21L7fPP2rYlTROOj485Pjnn3Ydr3n+8/t6i8of4WD48DKZbQXAw4dID6BQS9vrAR+Hr2mflCRnBPoa0PbPCeZfVzjMvPFXPHjaPvUatr4n9nx1qnfx+fyjIoBgNv9JUDCfCKBrqsdBBHUpbQhsQ6sAHbQuFuR/cjLXYtoO2JYolBN5SQVMTjaFrKt69u+H9N1/RdY7nL19x/vQZQRLT7EtWqzX7fcH0LCZNswGtdxqsEYc46wfUtmmwxhCGAbFnUjgUYRTz/NUrvvzh5yRxwH4vhgz7uubs4ko2hk4obM4auraWM8a0VGUxOGm3beMprhuS6Jiqa4nDEJxhcXfDfrvmb/76L/nzv/y3jCdjtpsVt58+cPPpI9v1kkiLKUCgHNiOJA6Zz8a4IMCpEBUlRFlOkI0glixGASAZmiAlHxVKQRxo4hAi5dBOGoyuKWVLpgxOR5igQlsFHmTqzOPzUpr3UGviMBQqvVZEypCGliQOmWSKLAlxOB/1UNI2DZIVLjT+tu2EVle3rNaSmTibzTk5Oeb46Ig4TTwzpaXtWsqyZLPZ8LBYUjUtWoecnJ1xfnlJkuYSIaL0cA21Tc1uu6bYLNlt19RlCUqRpGNmR6ccn5yTj49IsgnoFB3EhPEh3sB2ktObJCnj8ZgwDKjbhqaW4bBr9mIK1DWSr7YvpDZ1HePZjLPzC2ZHpwRxig5CX+dk61JXJTc319zf3XNxfk6ej4Q+3skmcbtZ83D3wP3dHcW+IM9HvPjsCWGUUraOD9d/fDTU9XJ9GL50H33mQSgdoHvQ3Z/bAz/vUTOptCJwQmd3Tn0HID1EaTzSKwLDrtAPmNb0TrwtlY/CsqbX+sqwE4WROPt6ymH/a6hzj77XwRnV0rbiYNp4wxHbiVv6AMAph24UCkusDKdPM9LAUO1L7m5u2e72/OCHP+T5yxdordisNnz8dIt1iulsRpqlKJTXi1uB0P3rcdbQVhWmbbxPh8Za2QYmacQPf/Ijfv4XP8PhKDZrit2OIBAdpLUW09SEgeQmBmFAkiZ0pmO72bBerUmTjDRN+Q//4T+y3xWEWvP+3QeePr3ixavnLFeiy/vxT3/KL/76rwmiiO1mw3a7ZrfesFwsWN3f0XYtDk2E5cnZnDxU7MuSBzujURF1coxOxwRJJhFm/jO2Pjatlzr0zt86EGf2EIu2La6rRdPonaNbT6vUPvtrcGsHkSbpgHGsmeYJeaJJQk2uJMIqCQzKn8v9/liYOW4w37Sm9Ysf0Vbu9yX7/Z4giHj28jPmJ2fEaYpzeMC9otzvWS0XLJZLjIMwULz67AUvXr30IL2PJFN+m9g0dPWe/WbJbnXPdv1A1zSMj5/w5OkzJieXGNNSFjvCOCVOc1Qi/R1OWCltLXT5OMkAYZ11TUlTbWnLDV1VSNRQI8uhdr+laRqyfMT47Irp8RlBOjncV867x7YNxW5L27UCuCIgnDFyPe62W4r1it12g2kakiTl2csXpOkEwoRff/3fQEPdPtzLANY3Sd7JNPTr3yCUgN3QIwqDQ2AfxN7DBs5fUo8HV4+iK+31MxwO3MFR1SNSva28g0GT+Jhypfr/txZLH61hCbpAwuJjRxQqAmWH16eUEv2gE8S71ymZATGzXqvkn9e2dAba1lBXFhtBno/IJjPy8YS2c6xXaz5d37BYbmg7x2g0YTIRJzasQxmDtRzoHW2LtYYwChiNMqF0di11a4jjmGfPn3F+eUHb1tzeXLNZrbi4OKdtGsr9zoeAygbUGkNV7QeawtMnV0RJQtc0fPvmDcvlinw0Ig41s3GGZAHWZGnO/GhO21RsljJ4ZGlMoDV5lrJebQUltg3ZaMrRVLYHcTZiUzY0VqOSETobo5IxNohAR2gdPloMOp8vKS6oyirRQ3QtTbOnqSXP0xkDbQeq8Y23Hg61w2WjMPowLAc4IjSJ0oy0JdBOrI99Hk3bGcqyoutkSxBEMSZ0GFPzcH/P3d0DcZLx2WefcXR0RBJHnlJoUEZCsbtWMmjub+/YrBa4rmE2GfPF5y+ZTsceOOntmS2dEfv19UYcSOuqJk0zzl6cM5vPmczmks+jAjH06d+j/rr0myOlhbff2/1LnIcUuaba09V72qqkaxq0DhiNJ8RJJu6HSYIOBQ3rKUPWdv46KdnvC7RS5Kk47TaN5Mu1bct+vxcTCqUYj8dMJlPyfIQOIl69fMHkH3/1vUXlD/GxXa/9sK6GDLp+UNReqxY8arB0IAPY8Hd6uqivaf3QBD2bwnhgzPqQ8V4/cEDspedRHi9Tg4vuYzOafiBxOO9kK7Tluq4JfSZX4hsrpTWRR2CTVL7XwOgYNoy+5hmDUxqFJWwNoQmIQ8d+u6ZY3qOjiM8+/4wnz18SRDG77YrV4oHbm2t/fSdDDqjrh+T+em0E4KjLPc50JFGEy/OB3hbHMbPZnPF4QlMXFNstm+2GfDojjCLKak/bdl6je3BetA7fOEaEYUTbNNxcX9PUDVUljpanR6JLKdZrlLN8/vnn5HnC/fV7Pr57Q1NXzGcTkvAV796/Z7veUDnHJAqZ5TlPzk8I44KytdggJhqNCEcTiFIc+lEG1kF2MdC0vNNzaxphAFRbmv2Wum1wOpFYIUKU6QEHhfHP1X/OPW3LWoPtOmxnUdoQhpYs1qSxAJqmM1T7Pbv1hs504N8fh5if1V7vqZTi9PSU+XQqG9ckAc+caOqGYlew3+/Z7nasN1s6YxmnES9ePGd+NPcOkEpMHVrR0WzXCzarB+pK7OjDKGE6O+X49JLjk0viJKOuG5qqRmtxLIzCyFP3NNbI5nM0GpGPxgRRBE1D15S0VYHparGKr0vqqpA8W6WYH59wfHrB0ckJQRh78y9D1zaYtqWpK3brFZ8+fKAqS8bjEQpHVeyoqpLVw4KHhwf2+4osS/nyh19yenFJOhrjrOPT7cOjmJE/nse+2Hm+szfRerRVlKExHMxCgjAUinrv/Dw4QB+MAIEDaC/POjBUe/x/aAdhqK/isPl7w6MRnbjQX1tMW+JKAdXCICSKvS4ySb1mVg10VmEdOcJIGAUuTzFm5J+3l0f1cgHpN8J2R0bN0STENXvWmw110/L0xTMunzxBB5rtZsfvvvqa3379htZINmscCa1QA05rb4qmwFnqqqLcFwKMBRoXBt6kSZGmKSfnp6RpymLxwOL2hnJfEs9PCcOQtm3pOkPT1KKdO5qTeFfOyXiC6eR5bNvx29/+jrqq+fThI7fXt/zwR1+Cg2+/fY8xHa9evaJpGrYPC3abDXVdksQpeZ5j2prtaoWxjqNpzvFsQhbHrLc7mnZK6SJUfIRKMgJvXjWcVYOG9SB9kIcMioGtwXZgWkA2aqYTKrDVmj5aqD/btHJy3fmNqrWGsmyJtMKmnXdxlk2yMwZLH2/VeY1fKwDQIBPpaFqDU5L9Op4dkY5GaC2bU9sIiFSXBfv9jtVqRbHb4ZxjNh3z8z/5KdPZzBsU+tPWOLpWMjjL1R3Fdk3bVATpmGfPP+f42Y8Zj8dYFMV2BaokSUdESY6LEkCDbby0pRXQLUnBifdLV++lp6v2UveaGlPvaZsGdMD89IrJ8RnxZD6YQOLZib2HRVsWFOulZGVqLfForUQiFasVu+2Wpq6J44izyysxgZtMsIRM3n8SNtL3PL63Ejqvvek6O5xew7Xh9YGBzynUoQ9x9bocHYmrWRiFA71OPY7K+P3vNWwI8YNij7TznarTr55Vj2L1trPuMDgOA4ZWA8XHOoe2ToKte6G1pzz0NAf/HXyxO1BmXWfQTUnuHFnYEOpGkOM4JopjOmPYbHZ8+viJ+/sH6qYBBePJSMxOggCHbB0ke0qQfR0o4iRmlGdCge28lS81TddRNy1FsefbN2/46quvsMaCCphO5yTbrWwS/HDYNrKyFo2kmAWFYcx2KzdD03aosqEJIAoDXr/7IEUqDthtt+RpSNtWJFHIZDpBaU1b1+y2O64/fqSxAWk2ZTw/IY4iotgQdQprFU57dyivW6C/yXR/Qfeou2gPlZPGp2urwWpYaS0De2twrsF10rzy6Ho5UFE0ndY0gaKpA7paocYB8ViROmgDg3G+Wdju2Gx24CyBOui+yqpiu9lxdHLM1ZOnTCYTTyF1UoytCP7ruqL20ROL+3u6tiWOQ549veTly2ekaSKmSNZhnXDBN9sty8WCYrcjDENOTk85v7hiOp8RRpJDV5Yl1jYEQXRAZHsdiXaeVi1bo9CHg/cBqqat6dpKqIRKS+ZTKI50YZz6QdRfx6aPipFsHuO3iuvVhrrt6KyVRq5pxUCkrOi6lixLOTo+Yn50JEOAQwamMPrfpSv8oT6sc7jOO5/S0+71o+HPU6x611M/RGqfB/adrLEg9BQrGW6EnQAqCAh6mn5fZ5xD9Rb2yDaup8vLAW3994VhVHSHutW24lgX+ByoNpNGSmqxxAD1WaJa9VrvfriV72W88ZXtWlTVMQpSpnlLFCqm8wmXTy65ePqKNBfq5vL2lo/fvmNxd491jmw0Iox8Lqonmhqv72vqkqooqKsSBWRpShR6vUhV07Utnz58ZJInOFNzc/2Rotzzg+mUpq5Ybza0bUsU+Q1a2xD47NFsNCHRIcZa9kXBarX09Ok9TVUxyUYU24KH+6UYfHUdq/tbbq4/Uu93nF9dcnx2yWax5N2bN6zu7kjznPF4IlrvUcqubGhMK27P/rPHM2vwMT+yUezBgN4QyUEnA2PXejZAVdJ2rZy8TYPSDcqFqECuuUGW3f9bKazuUNYQ0ZGgSawlTTpc6DCdpioNbdey3axZr9fD13XGgNIDiJXGMflozGQyIUszMflCpBhdK47ZZbmnrmuKXUFR7MEhRkOfvRQTKKVER9gZ6nLLdrVgtbilqSrCKGA8nnJ0csnx2RPGsxOiKKXc79msVoRBTJ5PpLn3QJZSDM18kqWE3nhGKY0zskW2bY01LW0r+ZRRkjKdzpkdnZBPpoRRPGwTTdvSNRV1KcHYq8UDD/f3OCca2v1uR12WrFdLyn1JlCS8ePWc09NTZvM5YZphPLsliCLKqvo/ofL8n/swXSsgeN+09xMdgKfE9/IfFQR+8xhIj+cd0UPPZJC6159d/uvhEcOiZ5I9lia54fsN/aDvJ0MdE8YJiWe5iHaylV/eaK1pW5q6oU4kBzrLMiIVidTFM44GE5v+ew3b//7nVdjOovcPjMyGPDZUxZaqaZkdHTE/PyeMQpq65utv3vL3//Av3N4X6CBiOpsRxdFgSOD8z+uc82YqYiynkAG3867oSjmatuObr99g25pdsePuw0eMtTwbH+Ocoiz3dK1EMGy2G96/e8t8Nuf45Fg8EYKQJE1py4bFw5Kyanj/4Zp9WXN7/cD//P/6//D1N2/461/8JeC4+fSRsigIdMjx0QnT6Zz1ek1blWyXC6xzjELQM/EtiMIAZUOUC30fpw+MiQG0VMPn22u68TtGHGjX4UwLpkOpQFgLnUR5CRX1wAgUcFW8JTqtMbWiKitq3TDKEuJZw3w+ZRR2Ugs9M6frhD5uu1bME5XUDOtfWzqeyQZ4NPHDpl9Q2Ja6LoWF5wGyzWZLXVWEgebzL17y2WcvhjnDOQemZb8vKJbXbNcrunKLDiLmJ5ccP/uC49NzVDyR/O+moK4qoihhNDsmjDOM8lRRF8g21BiSTKKMOtdHAEmdM0aMGsXcC5I0J52eyoIhyVF9bz2wK33eYlmy36y5u74WwLPYC/Bf7Niu11R+GB7P5zx5csX85IwkjaV3bR1lWbGv/htyFuMsFTSzz1h0vQugoORKiZuks33OTV9oAnQYEyUJURITRlJc4iQZjGy0P3jps1B6+MkjtNqjGI6+0BwKWk/76dsShj86oPO95bL2KLQYPVjoWjmcAo2iEzpF3xB6+ha+8Qt1AC5AhQFJDCcBXCSKo6ggSyxhFGOMpdxteP/hhtu7e0qfnaeUYjQekSSypesH77rcU+w2g/W3MR0oDu9JIHTZYl/x9TdvKLZbvv7mG25u7slHI07Od+g3ghyNxhIwXFaNb6gaH1ws9sFxHLPZbPnq9Tu2+4p93aFwFEXBarNB4fj81TNGI7FnhvFghd12Lff3S96/+8jdzT1Ox5RXe0azE6xTnr5rcYgxius6VNCB6h2pNLZHE3tnWWvlv02D841TU1dYKxsD8MZJrpXBuD90/GfZuwoqreiUFJi2VdgGgk6ROkXmwOoO19WUxZ7Vak1dt6RJTFmVGGtRnsJycXXJ2dk5SZoNdDIc3qyho65K9sWOqixZr9csVhuslfyd84tzptOJb7Tl2qrrhu16zeLhgZ0PSL168pTLqyeMJ1N0GMrzevoDKEaj6e+ZNOEHPbkmssw3db6odKalMy3OOcIelAlDwoHLH9LblYsBzsF2uWsa6rLk5vqW12/eCT23c4zGOYE31wnCgNlsytnpGZPZVNwEvfNx67W0xf6Pr4HKxuOBjj6gpvhD0nkdoa8v1gpKbbVomY3S9LlfByaG8cyLUIazSOjEvXkNHA6+PlvxoPvutdzmwLawyPfXeDT2UK+U8iZOgdCgu7YFxPBKsmODQ0j1I3CsdyRWOIyzkp1nDZHtyGPFbJwymUSEwZjJZE6apVT7gndff803v/0164cl+7ImiHImsyOpYWi/HXN0bUdd1RLwvtvR1rW/h7U4L/p7fLvd8Q//+Euubz4yyRKhhKYxn/8Ittstb9+9IwhDri4vsc5wf39PUZQoHaK1gJF5ltO2HTefbthu99S1AWMIWfJr9zs2qxUvX70cNOmT2Yz58YwsE9v4d2/ecPP+HfV2TaDAda13UgZjDU3T0GnodI3We1RrPQiqgYBDGLmnZSE0Ou0CtAuwrcZp6S8DrXE6EDDM3+vGHMADoSfjrxIwSoxaXKdRHejWEWQtujN0tYAJZSlsgaauhvgJ5yAII8I49i7NI2GXRInXeiG6rraTn69tB1nIdrdnV5SEUcjz5084PT1CB0pcHtuWqipZL+9ZPtzTdTV5ljOfH3F8cs50fkY6mhOEMXVdsVo8sFkumR+deoBTtJoASglzw5iWcTwSswYn5/pj/a+YRimyfMx4OmMynZHkYnzUGgHCxAynpq0lO7IqC9arJVtv5LVer2nrmnK3xVrD/OiYs6tLpvMjkkT06c7fD601LFdrlqvN/+G15//sRxQn2M4MdazvsfoDsP9PZxy0CtNvHrVCBQF1GEv4eZoSpQmhdy5Xw+Coh14Q8FuhHgDrKfhe122sbJzsgd3lv0T+7WtUGCfE6mBgA7Lh2nsfh8gvJsIwIgzFUCwIvAtr4I2nHm1DFQoXQmQiZsQottRVTZLnzOZHhJGc1Z8+XfOPv/wV17dLjA3IxxOOjo/QvamIE8kMnp2zW68ptluMr8HDFlWBcbDZlfzyn37Nh7cfAdiuV6RZxrOfhdR1w+2nT+x2e87PTjk5OuUf/uHv+V//33/HbCZme2maMZ5OKHcVnz7d0FYt9n6JdZqHxYKmrhnlKT/+yY8JwwgVhGT5iCRJiaKYrq15++YbFnc3NFUp9NCmAcSNHq1wStN7OyhvvoLfQD+WRwjwf5BHSN2zYDpc16BshwplAysafoVRj9kX/WcMnf9sK3/dlK4h2paMyz2d6ejiFo3ork3bDA7JQsQSrwsVRARJxmQ6I58di1dI7wHhhOXS1LXIGLxkpK5rVss1bdOQ5zk//vGPxC3YzyFd21Jt7lnc31Hv7iSWZzTl7OoFx5fPSScnosf0/Xyz39F2htOzK/LxHKcjb6wk3UTnN9xplstyok9wMEauJQ9kBDokmuRMJjPCfC4mkZ6qN8j2bIdppacrt2uu373n69/+FtMapuMxURxR7GQQjuKIs/NzLp49YzKdC9tRKZwzNE3L3d0dZd19b9343mExn839Bkg+mJ4K02v78GJSZzxV01suS1CxGhApFQSEUUwYx8RZTpJmREkiIvlIXIaUR+dR6jsZZD3w1WcsDf+tPH7ttSzyLisZYhHTBmmyHg2Qfst4CIU9ZAqp/h++qPTCaodCO0uoO9IEjicJR4kjjyxhGFF1ltu7Be/ff2Rft3Sto64b4jjh5PiYMAjoufKmbcRed7MWBLQVEW5bN5T7kn1VeTRYDvHrTzeUu4LdriROUp4+fcr55SXL5ZJvXr+TbRyw2+0p9oJISRMqW7Q4jrEYtruKqhUKrMYRTHNml6e8eP6EP/2zn/H0xQvSJMbZDmdbFI6761t+9S//ymqxEmvzTjRXykdCWKvEXhlvoNHUWKdxrQEVeEqbfGYaWZfLsGjQpsG1JaYqZVj2D+ccnTUYp2QQ7Q8H9WhQ9IO91t4h1WlqHGVjKSvYBxaDaFt228JvTyPyPCXPMqFApQn5aMR0OiXNRgdnN2QQaOuK/X7HfrOm3O+pq4rlcsVqvaXphB4r1M2ato1pO2kmt9sdq+WKqiwZjUY8e/GCi8sn5KPxwbjGWhHdNw2jyUyoo1GCVoLiBVoPVGoHQoNSXgfsHYdxijCIxBQgFMQ38PdPT9EenDq9oU2fSbZcLPjqq9d8/c23WOvYrAvmR1Pmswknp8dcXl5wcnrCaDIh0KL/sUhcyL6suL27Z73dfW9R+UN8TI/mAzW8a30U0CObeKG59wPjAZXvGy3ji7xsgjSBNjgXCAPCmQHUChFTGqXwg1uAs3o4cIFH1/uhNukB0OoRXW8WYHuQzQl7waO7fV6sNGZGHPkw/V6SQTfuO0PjKfyR6xjbimyiOZ7mzMYRQRgRxSG7zYo337zmX375T+xWa+/QaxjNxkyPjr2DHyjj7+WuFRe3oqAodjRtvx2oWW937Io9jafSPizFbvzseIazhuOLC45OzjAKHhZLus5QljUPixWfPl2z2+1FZ+4HnfF4zPzomJvbB3ZFRVC1hEoxyXOMdRyfnvKnf/5vuHjyHB2F5G1JtduwvL/n/Zs3fP2v/0qz3ZAEmq6SrdSRkoxWkCDzylowAa52uCD2jBEF6rCxlc9KeZ0hxMoS2gZsJ+HhiOutDUI/MIoe0x1IGI8WPX0j5uisomktew2lNuypCbqKSol5R1XXmK6TMzfxesAwIstHpFlOmklEjsgU1BCVIBromq5psH6rXjcd17cLNruSIIo5Pp6TJrFv9A1NVbNer1guHjCdYTY/5eTklOn8hPF4RhRlKBR1uWezXrFePOCsI59MyccTwihGTm/rjU/EvTYOxTXTeHe0Qw2TfiLOckajKaPJRMKs/UbZepdO2xm6XqdW16yXSz68/8j9/QKtAxaLJe0oI9Kas/Nzrp49lzoXhgN4bZxo1Ivdng/vP7Ha/fG5oc6OjiQWqJP7p/MRQI+Nuni0/elrnbXCgGg60R9XZSG1IfIRBlE8sMmCIBw04DjlAXEttU/3DKFH20f/735Y7KmpPSgmGkXlN/vydT241nna6r6ssFYcHQc9ZqAJ/fftN9q9iQ5oRnVFnMk1FCYh49mEKIlRyrHZ7vi7f/hn3r7/hI4zEus4OZ4zPz4Z6mv/6NpW2EcPDxTbHbYVs0Sl/L0NtNbStYayKtjvKqI4BGs4u3rGydkZVVXz8f0Hvvn6DVEUEYQJ3377lu2mGAZv09dr41g+bAiCkM7I7JMlMc+eXvLqi5f84Ic/IBmJRMZ0hqaq2KxXPHz6yK//6ZeURSH12wgArQNNqEMOWax4x+9GJF0DJZNHFNTeEddn9+oA6GQZ0LUoY1GRB8S87MI5dbjG+qvLHVhjyiLLAKfBQlk3bDY7grD0LJg+ukqoq3EcEyWpgBdZTjI5YpSPUWE86MDFBbSjbRu6rhGWQaAxXcdiseJ+saJpW8aTKUfzKRqJqrBtw3azYnv3gV2xRWM4Prng9MUPmR1fECTZoMd0pqFrxGE0jqdMj5+gowSH9kiJvI62k+VQkmYCJPg83n5JoHVAGGckQUCYT0myDBXEjzb18g/xnuhoy5L9ZsXDzTW//fVv+Pb1O+IoYjabkecJpusYj8dcPn3G+dUlaT5C6UBaGSvgeFXsWdwv6Kzl+x7fH50xnclNawzWSnFxPiTX9BxwIwG/xhhc5239uw7XdljrC1EjzkHGOqFnxQlR/yF7d7swlMlZ64AgPIiFtd/49UiV9johHRxu1H7VrZWGQApKoEVTKflP0kT1zoXWWb8yl6ZaOY+mGXGDdH0hU3JxK2MIqLGxIwk0eRqSBAqnFOuHNR8/fKIq9qRZTtO1gOLi4oKryyt0IPbq1jsV1dXeC1ELit1WCra1FMWezbagqmoZynDi9BaGjMcjTk9P+NM//znnl5f8869+zXq7Y7ne0RkRiIuuU3m6jWOUj1DGst/vqVtpDKx1TPKYH3/5ir/6Nz/n4uKU0/Mzb+ErG4muKVktFvzyH/6Rmw/XjPMcaxzLzd7r/oTmoYMQtAEXYC20pqPrKjpa3077bZnzOYjSohK4Dm1btK2hrcGaYSDsUStDT0GV91jq+iNM0QEIYqcUA6LvrKVrOrA1TVlh2pY8S5nPZ8yPZuIkFieEsRxwUZwMB6RCYazP5Nlt2G3WlMVG+O9Ny2azY1vsaY10w6v1hpubWzl0jaHyOimHYzo/4urJEy4ur0jy0UDl6DcGbduB0kynR+SjiRc/M4AUQg3rwDEMFqAG86UgCFCh9lqNPmPo8H5jDbaPchiogBXbzYZ37z/y7u1HVqsdSmsBNU6OOL+44PmL5xwfzwmiEFCybbJ9BpllWxTcLaWw/rE9oiQRpkDcR8R0Az2vH9KdR0UPHuw9Cm/7/xUyjh8YldK0qhJjp0eupWEQ+qHvEZVnoPXoAw2Mg9vzAJIEwcH6HhkK4yj2lMJeGy61s/NDoDwOJhSu3557euKwyXQALWHQMR9FTLKIOFR01rBaLvj48Zrf/vrXFNsV4/GI3bbAOsvx6QnjydQDHNpr98ThrWsbdtsti4d7mroC59jv9xT7kqppBGl1TizXg4BRPiIbZfzoZ3/C+dPnrNZrrAp5//EDv/3da+4Xa+qmlXsj1ERBgAba1rLblXStxRgB23QSc3F5yV/91V9yenrCy8+/JJ3McBiqYsPth/e8++Zr3r9+Q7nbMh6N6LqOxWbHbrMmDDSRltxXHYRYFwggZsFgwfTUOsBKww2iow4DRRJqRpEiVh1hVwk1SyZ5/8sPik7qnP+Y6PcnyhO+9QAWgNZOzkIctutobYMxDRpHnKayQRyPyEYT8vGEJBv5/OJo0MB2xvjmSTaETVXKxq2qWG+2XN8+8P7THUVtGeWSE9yZjqauMMaw22zZbbckccLs7FLooKMJSZqjdExrLaYRx9LtckFbl0zmJ0xmRyTpyAdHdxI74sEza60MGErJe8th04pSRFFCPh6TjzzbQWvRTfrGUSjP8jPVZcni4Z5f/epf+c1vvubhYcV8PqNrDVmWc35+wvnFJflEsskCJd/LOiODjbE83C35+vV7mu7xLuuP49FvTqDXwfdmV71rstczd31URjdsg5yVycQZkUR0VNQKr68PZQPolwHiDn4wgOrBtYPH6qFB7pkZfdzLwCJVCmU1znoX/vCRb4aWc8q5dDjHjbFe72h8Tm5HV5sh51ApcbmVhURA6Ap0LC7yeZ6TJAkoxW675z/+r/+J3/zuNReXF2T5iPvFiufPnzKdz2TYQNxBm6ZltVxye3PDcvHAfrcTYEgJfCfmLpamM3Sdzxe0LUcnl3zxxTN+9OMfM55O+PjhA/c3t5T7PR8Wa25vV9RNQxQlaC0LkCiWe6SqGlAKA0QKsizh8vKcH3z5BT/905+Rj3JQiqYqWS8XrJcLiu2W99+8Zr1cEoUhHQbbyKAt5kbCfOmMozWWxrRY1QG1P2/ccM30TDlhUPg4lCAC1eG6UhyjnRu2udaDkcYpxAm137VxYAIqPZjYaAQID0OJxTFth/JaRYAwjEiyjCzLSUYTkmxMnOWEcYYK+vxC569vr381BqXka8tyz2Kx4OOnG1abgrq1BI1hvVxTXVY4Zyi3azbLB+r9hiSKmD/5gqfPXxKNTryWWeIqnHPYtqIqtjRNx/nFCcloJoAuwwJ1qHVaaaI47nmQvmfQ0svFCWiJENRxJqacvvcVINEvALwHQLG84+HmhnffvuHb12/Zbvbko4TdtiBNQ07Oz3ny7BlHJydSN5V04tbage663RVsNgVKfb8++3v/NIzEAEb5zVDfrPYQ6GMu+kBp8B+O2OD5WIrW83A7777nhKLTI4NNU8uA+Qip6VetA+3LWJQS3UFPU9HIGjwIPFfaX3Bhb3cfaJIkFQpsmhFlI5JUNF2CCOOR/wMNQrv+BvebBI8YB9YQOgg9XbKzhs12z/v3nyiKPaenJ+TjMdX7a6bjjM8/e8FsPvX5TR3FbsvKI6xJmrFZrVkuV0IBUIpiX7HeFXIxIS6f/U0URSHHx0ecnJySZTlHsznj8Zj1WnL4wiAYLsjZfMbzZ0+5vLhgvVnzq3/9Ne1uT+Agz0K+ePWMH/3gM5IoYPHwwH6/J44jaSDaGtPU3Nzc8PqrN2inmE2n1K3BrPY4NGEYE+KIk5TECM0KozAGDBpl8fluZmikld+sKGdxriNwjUesOoni8PbZxgdeK7RsJv0keMjV7IEDP7D2geKBI1SgvC6v7Wqs6cjShOlsxvxoTjYa+QDpyB80IrTu0UnnHFW1Z7tZs1ku2Rc70W8pib+om4aqbiT8O9TsdgV39w8+Q1PoAaPxmCTNmMxmHB2dEqe5aDrpXTCF2rrdbAjjlGw0Fj69deK+28d6+OYHX4iHgaRHWr07qvbgSm9/fqAoSIUy1nhXsD277Y7b2zvevvvIYrmmbhom4zGvXj3n5z//CU+fXTEaj/zQcchUlayiGmsNi+WG6+sHqvqPb1jsaTZRJBlgkYnpI0RMd2ig+oZpiL7xhgmHeihPZzqff9kHDbvDwRg8qnP+N/F/BI4B+FEeuRXzGzUMCf3BLcasyrujxuKOmohuNc1zwjRDh5Hk/iktg6R8A6H6G4vVsp3slMZYS+BaRolmPgqIQhm6NruST5+uefv2HYFW/ODLL8A6vvrNNwRByNHRMZJDWqF1JGh/19B2NShHsS+4ub1jXxQDoFHWrUTseAPZIPAUsiTm+PSE86tLkjTBLCx11VBWDduyojUGpRVxGHNycszlxQXTyYRiV/Dtm7d0nekXIUSh2P9b6wiCkLosce6e1cMd7776LXcf37NdPLBbb0gSieXY74XWVlUlIBmxWT4iG1k6E+OiHBumOB3IZeMcnbXYVvJmTddibIvyTXirINQSJC9SjRDtNAQRLghRgcb1QJg6XIe9jKLPq5SvlVqnlN9441BakYSSPZaNxjK05SOiJCP0uWxhGA7vg/FgrmkF3CqKHU1dUVUlDw8L7h8WfLxZcrvY0rSO3GmaVuzluy7yuch74jjm6PiU+fEZcZoThpJ91gMPTbVnv90MRmz5eEKc5UMGrVwGvZtqhdZK9P++4cdvZVCKIIrJ8px8NCGMvUbcb/0Hc4eqptrv2W/XPNzf8pvf/IZ/+ud/5frmHtNZjo6POT095+mzZxwdH5HmI3ke991YG8HaHO/efeDm/p7GfD816w/x4fr6opTfAPo/6AHboScSkPkAnklG2/Dey3piqFG983PbNgP4pf2TW9PTic2goe8NZ/rB4aDd7ymN4Pn3fiOPz2yMSdKULM/Jssz7MwTDtdXrEnvDI9O73vd13C8PlLMEGPLQkeUp2SglCBTbYs/f/d0/8bvffsWf/9nPefXyFf/6q1+xH+VcPbmUM9mDbU1TsV6tebi7ZbtaCUOsLActdudBmaZuaDtzyGMNFFdXF/z05z9jOjtiuy345ps33NzcEscpaSISJ+fEofPJ1SWz2dg7Q1t+98072roe+qST4zlHsynOtmyWS4r1in1ZUmy3bNdr775fcfPxBmct+WRCuS9xrsQa631GEhnAdUgQBUQ6FtDeM/CsE/d6a1q6psXadrhPuzAiCUN06IjaPc4KRVQFQtcVFsGjHFmhCPrezv/qNfZBQIAeoqEEVu0dcgOiOCbPMpKx5NQGyYggStCRgEjO1xbnGCQ4xoOSSml2uw3Xnz5xd31N17WgoDGWdlvw+vVrTo6PiLUsd0zXMp4ec3F1xfTJF6RJglUepAD6/HFbFpS7DUGYMp7MZRvIIWKsB0y6zm9xw3CYd3omZBBF4sHi0wW0l5P1ILSz4vjaNDXNdsnD3S2L248s7hbcfLplvdnRGUcYhUznM1598TkXT56RjbzJJp6r4o2k+iXC+3cfuX9YfWf++t96fO+waNp60CYeZuCe8XlAAyTdoM+cenzYPaLUDNQ4/wS+wAxrVfe4YD9uwOxAN3Ie+bKNcJa1tWA7SUEwEjo80GW9Vsshuo0kH5FPZ4xnc/KpCF+jJPZvoqNPK7F4StmjLLXQwFxHHE81SeSom4rNYsXH62tWqw2XF2c8efqEzXYvDRGOPEso9zt2ux11I3l1RVEQRQHOBpIvti3YF3s6a6nqhrIWC/Eo0MSRoF+AR0w7cfkra6Io5unVFW1n2Wx39HlteZ7zi1/8gj/78z/FOcff/93fk8YR+ekx08mY+XTC5fkR1nS8ef0tVV2LG5011E1NEgbEYcByuaYoKo5nE5IoQnvhsPJuokmgyTJFS0xlVM9FRTtFYxXaiGGGMRY3AAd9Yy1FRtkWnBEAIAjRUYgLI7QKkWjXgz5R9UOiUo9iM3rE3W9gkMBbS0NoLXkaM8pzxlMBCKIwEnc3nxk6UFmc80OVuEZtVitWiwVNU5MmMWkaD0Wn82BH4PSg2w2jkCzPZXhOE5I0J8tzIm9kY518TdeKnfLD/Q0P9w+cnF54IEYGYtlY9YxCoWYpBcEj+ioc6NWPh+e+cGHdoC02XUu5L9gsF6zXa3bbgtu7B0+l7UiSiB/84BV/8Rc/5+rJBXEcytXvBIwR1bDEtZT7PXXd8evfvObdh2uaP8Jhsetauea0Gv4dBuIuKg2kp9d7RLUfAuWz8ZXRuaEGOmsH6pDCDYZcvTMqDq/38HWvHwz9vXwA6XoNmzQ3XdfiTOsbtxZrJdC4Z3wEOiBME9LRhNFszmh2TDqaEmc5QRSK0U4oldn2roDODRrk1HWcTBJmIw22Y7vf8vHjLR8/XZPEMc+++IzZdMrd9R1FXdNZSNJUwp7bDVpp2q4Tk4dGruG2a9kVe9abrdCHfCyNNQaNbM+11zHuy5IglnxaYwzr9Yqu65jN54LQt/IzPnv2jD/5k5/z8uUrxuMJ//LP/8RXv/sKnCNJItIk5Xg+Y7vb8Xf/699xdnzEs2fPcNbw9vVrdqsFk1GO7VqKsiSIQlQY41QtlN2mBWeJoog4TYhSQ+IyXJzDo2HROkdnHV3ToIIIV5e4TrQ7Ssumsa9lBJrAhQSEuFDyZAmiRxvGQz6d7mlJno4slGW/lfFRSTqANEnJRzn5eEyajQmT7GBy5Q2YZPnmA+777LmmZrvdsNmsaWoBlB4WS9bbPUUljtxoadjatmO92ZImIco54jhhOjvi6OSULJ8QhIlc5Y8o7/W+YLdb03YNcZoPg4iRtaxv3iTLsm0bT6cPMH5b26+WtN/GJ9nIR3b0GwNxPe3ahrIo2G83bFZLoccul9zdPbDdlTSdJUsSvvjic774wedMp2NB2FGDyYtBQJd+wFitNvz6N19x97AU2t8f2aOXq4D/1yPX8T5HW86XCJX2Ww2/fR1qRi/lsYPuqnet/45BTi/nCRzOhYMucRgY+693B7Mveu127wDszVIwnQDOONkuJgl5PmY0nTIej0kGllqICnoNdwix80CJmDlZf3YH1pA5zWwUkGfC4Cn3Db/8x3/m69ff8ld/9Zf87E9+zO3NA6vFHYQTnLUs725xStFaH/tRVjReUtNZQ1nVLB6WHmCxhP4+CpQiigKSMCCNYLfd8uvffcMPvvwSlWTM50e4F45it2e73Qr1E7i8OOXf//v/kbOzI3a7HXe3N/z2d6/JsoSmtcRRwOXlGXW15+7TRzarBVVR+JxT0Y4bI1Ei221Bmkr0Rtt2A7AWRjFBmhEmqfTHQUwSjYUBgZf8+OeoK2ENtJ4l56zBNIauA6MNzhbC2NOB1EQ0eAaLE/9YfDadMJSHoVH5TaQ3ItQ9q8oRKEcQhsRpSjqakOcZQTomjEIIE7Svd8O1Olyvh+zFer/n7vaGu+tPtG1HludcXAS8/Xgtrveu4f37Tzy9uuZsLoyK2fEpxxdPmB8dQZRgnQKM7MeNw3UNdVXRbJYU6zX5/BKHaDQ9Jc7fat6Mpqk9sBEMr7G/Z7SXeCnvsC6jUX+PSb1rii3r1YLV9XseHh4o9zvqqqWqWpqmIYwCnr94xp/82c+5fHZFlGRDj9gv+exA/+9YLVb803/+NXeLjd/6/tcf//vRGfJzDoWlD7hXjzY+fTM//HsQO0vBP1BKxWhB+YNvQNQ5oEr949BoCcVhCDf1vyfxNkJ3Uj29tKcidD6A0nPrm6YZDDpWyyVlWZGN93LA5iOiYdvEcLD3EZxaKVIiTpKA+dQRqILNYsW7d+8ovBD55atXJFnKx9sHFss1VWt4eFiQZ8mwSe2NBPZdx831LR8+fGS7LYQyYS2dR5HSOObkaMp8MiIOhd+fponYlkcRt3f3LFcbjk9Paa3Dvf8gNss6YH50xNOnT5hMpiwWS5qmYTLKubg44+zkRC62umbZNgRKbqSi2FNWFc4aJqOULgzY7UtaYx9FoXjK7vBZRISRJWghcA7trJztTklT7DfBtuv8sCi/nDU416Jci3MGvEOs0oIKOq3RPabo+ga8v9cORh9OWax3z1HKYemwqkGFHXEE4ywhT2PSVMKjdRCgwsd0TV8ArcUY5wu+OJ4uHx7YbjbEcUiSJhK+u69oO0vbdMPQFoUhWZaR5TmT6XTQA4WxCP4dbqBn16VsExeLe+5vrtkVBVEUsd9vyPIRSmuvb+j1oILgDaYBj35+pTXaF6DHgEwf/+KsmDxs1yvubj+xWi4xnUErTZIk5FnKZJRxfnHOX/zFn/LkyQVhpNGBp/u6nrJ9oK9WVcWnmwX/8I//wvXtgrY3H/ojemzubjgQY3onQO1NVHzNU4dBXWod9BO+VoJeyKDpmy1/vQWKoQEDMYoItNcy+w/wkBtrB/v6KOgPP//54gEwT7kzrZiStD5YvK0rmloczYzt2G5W1E1LWpaMpjOy0ZgsTTxoIj9L77iqnIB+OR2nc8Ukd5huz8P9A7e3tyRxxIsXLzg+PcEZQ1U1FEVF2/aGUA1tK1uhsix5eLinaVpMZyn3e9I0pmkS6qr2Tm+CFM+OZhzPpz5rr6NpO6bzOaPxmO12y7ffviEINRcX52x3O4wx5GnK0ydP+OLzH3B6fkGapozGE05PTzk+PmZbFCRJwmcvX5LGIbv1mpu7B4piT7Mvebi/Iw4D0iTDdrLlHKHFqEAdtkvOOs9gCLBoOqcwnQPX4bTcA8ZI7e66dtAi09ZY1+KUQWlHEDpQHdpZYV0oeOyk2m/yD6wd6CnrTvmzTmu0c7RdS6caVGhIk5j5PGc0GROngq47HaODSFBpGFgTvaFaU9dUZclut2WxePj/cvenTbZk2Zke9myf/cxjTDfiDjlnZRUKhUYB6EaLbCNN1qREk8xopg/SD6Dp11F/gSYZ1ZK62QAKqMp5uGMMZx589r23PuztfiIL7OSn7jbkgV3EzVsRJyLOcV97rXe9g5E6+D5xHDGfTYniHtuj2ZCCRgtBmhfs9kfcUZ/RcMRoNKbXHxB1unYoFZayXSDLkjw9sl2vOB6PRnYiJWly4LhbW7+CjgGZhQGCy7Iw1HrxY+2u+bU9ozP3g5OkRCmUzVxM9luWDw9s1ivyoiAKQ+bzGQB5URLcPnB+fsZvfvMrY0ziOpaOi73f7YCuzKBY15IfXr7iHz7/mmNWotu128/ncdzvWxD/FGkmHi0AGv3tyR+goYi2sUKNG7Q9s0xDqk99Wzvvi7YPdNoeTpw+rwFFRLuMtKBDk30tTTRC/fhPkxdbk6UJSXpk7XqEcUy316fX7RJ24jZ7VjiiNbXzXK/darpVQV94jLoevi+oioLf/+E73r655c9/+6d89unHSFmxWW/Z7RJE7JJnKd5hSyUlWWnqlVbG3K4octLUmOrt9vt2k9X0toOux2jQpd8JyfOCw37Ls/hj5udXKKstLMqKMOyy2e0JgwBHCC4vz3jy5JLBsMdsNkNrTZYe+e1v/4JXb95QVyUffvCCyBeo2oInSdJScU3fYvSJWVYQhrHN5LXGeVqZ+CHfx/E9XBXgeJF9rWjPJeN/UCKrHJmnlFmCLEu0lobl5yh8V6NFZr7G9YypnwZpmWZWkUqzO1Za2HWjQkmBoMZ1wMU4wmu3xg08w/zo9Yi7PbzIGGHhGgMfx/Z2rT708Xa8rimyhM1yweL+jv1uR6fbYTyegCMo7pcURWnkXEpxTBJ2hyPzcYfRZMZ4fkbYH4GNLzOgvNVS1zWySEj2O/bLO7K8wo2HHPZbRNDFC2MbgeYacKQ2IF3U1DKaDag1dRLidCZYmpFWBviv8oTjbs324Y714p7jfo/SmiDuEnVdVtsE1xVcXl7y53/5F1zd3OAEgXFPtU2G2U6eFnBFXvDy1Vu++Pp7jkWF1D9d635yWEx3G35UvW1NoWmIrBGN2fQ0wmW3bbSaJqrh3BrKnODxgNm+SO3u8h8/HCHa4uR5Lp7rG9Oc8ERPVErbwmaoMFUtrfjZhL7nWUqZpafmarelzHPCTkoUW2cv32sneiWMGYGhRjl0QxdfFKT7HZvFkqooOT+fc/Pshl6vwzHN2Gx2HJIU4fpEYUi317MXsWMCo9++4+uvv+XN6zdkWY5GEIUhseNQlBVx4PH+8xs++eR9VF1xd3vP4Zgyn8/54KMPibsDPv/qW97dLZjPZ0wmY/b7PfudxHGM3qfXH+AFpnm6fvIER0tC32Oz3nD38IBWkqvLM55cnJNlKYvVhv3+QOB7xFGAVoosy6mq2sYxmEFaaW31eQolzAAspaaSkrKoyIqSvFYUlTp9nt2itDRUofGQKF3hiBqEsvoBB0e4rf1GwwNviqxqDq7mwJECx2pTtVDUusCJa/qRx3QQ0usExgLaug7+iOrQNGeNXksp8jxnvVrzcHdHejwSBAHT6ZjBoEcQBGSZySirZEOt1fi+T7/fp9PpEUUd/MBEFQjhnLLrlCRLEtbLBWs7hJZFYUxs6prdZtXSDYyGMsLDM45+tXG2dRwLW1jqUOMai71bjEb1lMOWpwmb9YrF/T273RbP85jNpnS7xsin2+1wd3vH8xfPub42gecNpRdbvJTdlpkBwFDUvv72e7765juysmyp2D+nx3G9oImr0Jb2aZzhzPVjjBG81oiraTodxzWNvD2saJsjp91QunAKt8ZsFM3rrRuylfl3zIbD8+xGMwjwXBPM7FjADNcAKg1lxBxapilQsiJPErLjkSw9UuYZRZYZV9IsI+50rUNzZFyarSOa5xojCF8IYs+jEygcChMbk+f0ez1m8znzszMcx5gOHI9H8rJGeB38MLJDgKC2wMRqseCH775ns9lQVRWdOKbf67HZmHpTVTXjUZ8/+82fcDaf8PrlS+7v7xkM+1w9eYLn+dzdveLV69fMz87o9YxrsO97BGFAGAR0ul16vb752V2f999/H9d1+Pd/83fsdgfKqua9Fy9wrm94/fIl68WCPMnIK2lqsjTnQy2VccC22yVHOKa5qmtcQAtBqSCrTP6ZpGjvx8bR1rBfSlRVoMscXRf4uqISNdLV1J7Cs06DynPQvrYNnKLW2i6Wm+20uVQcoe1HgeNotKMpVYl2SuLQYziM6A96BFHUNiRa14b2pYStcyftWVmWpGnCcb9js1mTpRndXs/Y8schdS1ZrHZ88c1riqJs9WxlVeO4HsPRlNlsTrfXx7eu22awrqmr0oRcH/dsV0v2+x1aO4SxhyxNrdPKXK+T2Tl+EKK1oipMfFLX5qBpy0IyiwXjIOz7AcJGgMi6pi7t91kvWT3cs9/tcDyX0WTCeDQiiiLm8xmB7/F6POTp9Q1XVxftfdTa/RuU2lL/zTm23R/5u3/4gu/f3KL0I5fqn9Fjv1mfNjk/AvofvT7/6Pd+tDFoHs1g6Riw0XVca0TjnoDZx2CnViCtoQfm2nZdo88KA0MtDaOIIOi2DKDm/VGWntwaM5UlRWZ0W1makCdHkt2OdLdn67v4YUQUd4i7Jr4sjIwm3bULC0c4eBL6kc8gdqjKjDfffcfrt+/489/+lqfv3aClZLNes9rsyIua+VmPs4tz+tMJCJe8rLlfLHn35i3L1ZbVasniYcH+cKDb7XBxccFuu+W43TAddfjVx9cM+l18oXn55p7BaMI/+8vfEoYR94slv/vd7xDC5bPPPmOxXPLkSU3ge8zPZgRhQBCFxGGM5wU4Av7sz/6U+4cHdpsdt/drPvv0PSbDPt98/RV5UVGWVdvjgDCMibpGQ7t40ZaN5DjCaJNradhH8kCiPQPs2T+yLpGlASWrPKWuSrQ07DATWaJQgYP2DNDkuB5KuNQaWrdvex3pBpzQIJSJxBNS2+zVJksdRFjRiWIGw4CoO0CExtjK7uNoYvloZoimhtqs6/3G9EL77QY/CHj27Bn9kTGz2223rDdb6/0haXw2XNdhOJkwmp8T9gY219CaDGrj0yLrkipLSbcLlssFWZrS7fZRqubh7Q+kyZHucG768biPA5RlTlVVDOIOjiNM3rKsQdu4rha0sYsSy0grkh3b5T2bh1sOmxV1WRL1+ozHUzqjEULDMSlYrZb88pefcHXzFNcOikKIVtJnskWbWl2w3Wz58usfuHtYU5QSzU8vAX5yWGytcps3QJ9+IaE0OMo07I5jhgLhAPWp+DwqRDRF5VGBahD75nu13FzEj4YF2mKjWwTeoI42yNOiRsI6r7braDhpjqrSHpq1uaAsYlUUGdnROrO6Lo7dCAlV4wiB6/pkHZ/e1GPcK6nzB7SsuLm+4PzygjCOybOM5WLJer2myEuubs65efaM6XxuB2rYbrZsNjvevH7Nbn9AAEEQ0u12iKOALDWi2idXZzy5OOP23Tv2hwNlJRnPZownU4pakmYFSZoylopev2fW43aZPZvPGE9mdHoDHMej2xtQljWv37zl7u6BwzEh9H2CIKbfH7Hb7rm9X5HlBYNehziKQCuOWYGulRn8bUMspSTLMoPCOIKilpRSGQqWMrQgpMIFEyrfAAFaA5Z2h0KoElFV1vRGGeG2Z8yIlOPiKHu42OLSmofY4mB0O06bqeQg8dyKWc/najZg1vPwfYMe1rW0r4wZVIWwRauh/ynFfr/n9u071ssVQkvmZ2dMxiO63Q5o00hmecHhmFFJUBhd4XA0ZDgZE0QRjme1Ei1dUVFVBvVcPdyzeLgnTVJc12UwMkY7UdzhsN+S5Rme5zMYjhmOpyAiiiKnLEo6cWxpwo/uhfaWaO6HGqkkRZpyPOxZr8x1WJcl/X6f2XzOeDwiDAIajVMUetzcXNKJg1YHggVcZF3b10dQ5DlpkrLe7vjqm++4X6yoZU0UxT9ZVP4pPvyo0w6LjU7G4J2NHfxpK20Q9+aP+FG9Ox1agNDWDIX2kESpR9lhtc1VMuZhDSgmLLro+z6ea+jTTuMs2Jh9WaCuuSC0NgdPlafkxwP5cY8sc3P4+aaxz3yffRCaOAVriuO6jgUMzPeYxoJzJyT1JUFV0e12mZz16Q1G+EFAWWSGsp2kaKU5Oz/j4vIJUdwF4SEExFGHly9f8vbtWzbrDY7jMJ1OGQ8HdDsdY2biOLz//lM++fgDhJAs7gPCKODs4ozZfIZC87BYoCScnV0Y0GM6pdftEQVBm2EbhCbe6WGxYGszBjfbHftDwrff/cD5+Tnn8ymHJOXt/YNVkQgc30d4HlWeUyqzQTM1QZotB0Z3CsJQnPwAoT0cZYGS9nx7nHtlDd/qElWkyPyAk23RKjNMAddBeJHZYLoBWhhgs5ba0i9PGLBommlhtclaGec8t6AfCaajDoN+ZGnS2jRxUqKFT2C1Ycb1tDbuoDZfdbPZcDwcAMVkMmE6nxF3OghhrP+V1qRpRi1VuxXpdXtcnl9ydnZBt9uzNvWNPrGkqiqqPCM/HtisHthsNmgFnf6IKOrgur7Rvm6WJnOyyOmPJriex3G/I89TRuOR0TxaeiraWPm7NpZBKfPaFlnGfrtieX/HbmOjArodJrMZ3aGpc+aadphMRtRlzsVFY+JmmmZ9WqvZLW5NmZes1mu++vYV//D5VyR5idLgiZ8fMOZ4fru9Rmm0qm1PpgwY5Xpt3TktAWzf9mgT+Zju12zElTLSC6SBfpXtHWVtmlRZFKjaUBe1siHgrskUdoPQxKz5Bsjym+EeaLcsFoDWyrjfKutaKW2UAlIhC0122HNwHFzXN+CSdQOOog5BJyL0fbqOojt08ZG8ff2WxWLFn/35b3j+/CmyLtnu9yweVmy3e7Rwee/950xnY+MZ4BpmUVmWfPn557x9/YrNZkuSpMSdiPeeP6XX7ZEdD4Se4LNPPuC3/+xjtpsNq8WSLM/56PKKTrfD8XBku15zf3fPn/7pb/A8l7Is+Ojj96jKksFgQBAFhJH5HbbbHXEcs1lv+OH7VxwOGav/6d8g0PyLf/Fb3t6tePv6HYEf0u918BoWiTZMCA3mvG+Artq8D1o45GVNkpXUGmq3YdkYDV0QhBD3MfpD2W6AdV2iqoqg3OJT4VKamuX5CMeniUxX2pyF2PcTAKkRQrXnJcrEdnhCoV2HUTdgNhnR64LwQ5RwW6BfeEY72Jy5TU9X1TXpbsvD/R279RKt4eLqkvn5BVHcQcqa7XZLmqTc3S85JrnJYXcEg36Pq6srRtMzgqhjAOKmZiiToavKnCI9slves1k+UJUF3ckZw/EEict6ecvq/i2D2SXXN8/pzH1cISgKQ1UOwgjAmIZKkyFri5Ld+Ftzwqog2e/Z3b9itbgnTw64QcTZ5RP6Z9fE3Q6u5yPLkvFkzPnFGTdPrw14aM+nhtqtpcl3l2VOcjyyXa74+usf+OqbVxyT3Lj8/6+u6k6PnxwWu6OJ5XfLtmFtVDmOOFkHN5EX7cZRiBOhq2mioNWdgVkXY8WbDd2FxytkewDDI8RVN/EBTSaJprbf3/Vcw3F27cbTRis0yIq2os7GpMIKOahLqETGyUnShJ6bYREQLgdfEGx9zp52mY99RpMLhuMJYRyTZTkPDwvevH3H8ZgQhgFPb66Yzye4jqCSNVma8vr1a96+fUeaZnYz5TEc9un3O6hatcPN4XhgvdmwXK3YH44EsYl4AKiLElBEUWgCWv3ARC+EAXHc5dmz5wwGA3zP436344svvuTrr79hdziQFxVxp0u/16VWmtfv7nhYLFisNjhCEEehaVzKirKoLLPcauWEKSpZUZCVEulpajzc0CXwHZxIESsNwqCKjaGGQenN+2siI3Lyw4Zs94DKq1av5HuGvul4MWgHUWtcqaxTYpPpY2lJwgw8ruPiCgiF4nwQ8OJiwHzcoeMLpMbQ8qoKhYPjhbTnmaVDVJXJlnn96jVlUTCdjJmfzekP+sbFTNZUhdkY7PdHjmmOcXqsCaOQ65trxqMhnueaw1CdXCVNKPiB9WrFZr2iyAviOGY0mTIYDYnj2GwryorDbtPqM6JOB8dxyLOMqjJ6UjMUyh/p18wvY+gJeZ5w3O3YbzckyZGiKPBcl9nVFbOzOd1ujyD0LUpltsW9fo9+v2u4844xPtHS2mjbWJw0zbm/v+dwOPKw3HF3v6JW2uqHwp8sKv8UH4Ozy1aT2LzGTcYhYMCOFvxqBjbRZrK2G8KWytUMkA3hBhrkUwhD7amrym5KCuMIKWubaWlADlmf/tt1BLVj6CmNyZMpWaptfrWsqYqMusjQsjRNICC1QgsHWTiU4midhgHdGIeZn1cJj0XHZaInXIUDzroe49mETn+E4/kUeUFyPLLbWofLXsxHn3zE2cUFRV1TS9OwbVZr3r59RVVmuK7dXDoOeZ4bGk7g0+12mE7GVHXOYbclz1M6nYiLywv8MCTLCra7PePphOl0yuFwoN/r8uzpM1zHYTyetOYW9+sNr16/YXF3i+d6SKkJw5CqrHj79i1JcuT7ly95WCyJwohBNyaIjfFZsdtS1gbobHQcjWbOEH8dhOcTRjEd36fWnjGVcJqNinEZbcAxc1ZJdJmjsh3V1oXjEr/OjNQh6uB2B9RRn0IEaCmorP4ViwAbDaNGG6W4eX+0xhOSUexxNYmYDmIi30UrSVlmFHlBJZVxAxQG5mj0SnmWsz/sWS7XFGVp3LWnUyaTidGbKmmCqsuKJEk5JClKg+sIhv0eH3/0ITc3T+n1eoZ2as9Kc+1mFKmJyDhs1hz2W5SC3nDMcHpGfzjB9QLqsjJO4HXFavlgNPJRxHG/Mxtcz7cN5cn4pKF0ozV1lVNmKdvNivvbd+x3O1Pnzgy40LEsnsa4rCyMtCKOI7rduL3ncB0aDbgBnTVlnrG4v+f27oFXr96yWm2oa/P6hYH/n6YA/Sd8TC4ujNmLdfKWbRya6Y0qVZqcQMugaGMwPGNC5fo+vmdNOGwtwm7lm0y7RoeoLDjWfpQS3fZhJpIJsEZ2Bpxu2F2VNH2baICYx4NiVdnnMVpG3ZqPNUZ6pqeS5NQZZDuTp+24DsIPCAOf+bBL1Z2wWhxZrTd8/ItfcPXsqaGVZhmrxZLF/QIpK6azMdfXFwihkHWJriqOScarl69YPNyz3+8oipxeL+bs7Iy6qnjz6hVlljLoRTx/ek2W5Xzz7Q/c3T6wO+Z0ev32tZFS0ul0uLq85M3bN/i+x3vvveDNm1cmyqrbxfN9qqrm73/3D4xGExPXlmV8+NF7VFXJdrvj3/67v+WLr77neEjo9yygFpg4GiWVMdnRpz5bWudYo+UUaOET9Ue4QUBtIxtEAww00jG79jPGfQpHSmSV421BpTv8KsfxPLwwRkY9fASR6iClxKMxuRGnTRo0fGTAXE8dCibDmOuLMYNBhOOYM1HXJVVRouoaJ3YIwtBoj4UBEuo8Y71asbx7S5alDEcjzi+fGHDK9ZDKGA7VdU2SppaBYs7BMPL47Bcf8+LFcwKb4drUOq012saP5fuloYJuVogg4urZC/pzw4bJkpT9dstxu0ILj4uzc2RdmcVVmSOEyTlt6KWyLO1yStEqGLU0RmK7JYuHe5LFLWVVMhpPmFy/x3AyNfmVjjB9oNV8T2emvxSOMCFajXdLXSPLgiJNSfZ7VosH3r6959vv3vCw2pi8bXt//tTjp3MWR5PWifQU3goNN93Me6ehsXEYfUyZc+x022wWsf8bj+gJWMpXs0JuBkVludLm05oNZ/P8ZlgU2lC3XM/D9bx2q4gyYvpG3CvrCiEEShh9habR04FUpUEdrUBf1WaziNbgeuhCkkce3XjE5eWUbmg0dlLWrJYr3rx5y3ZzwHc9Ls6mPLu+wncF682Kd+/ueLi75/7+gcXiAak0QeBzeT7nyZMriqLg4WFFUZYoJdls9xyOCUqD73v0+1263Q5CKNLsiNaK4XBAFMeUVY1wXc6mV5yfXzCbzfGCgLLIuXv7mvXygSgMcL0RnU6XDz/8gMlkzG674/WbN+R5jlIQxT7DQY9hv0uZOxz2LrIyxbdpXDUgFVRaoIQPvo/vCYR2jL7zkY6h4Vy310hDmatLUhd0sSMvDjjamF0YF8cQP+zgaRf/kSso9so60RYkRu8Inq6YBB4vzgMuhhFxYIarujQoepKkhh4ahIaOZQ+pLDOD0JvXbwiCgA8//JD52QzXtw6YZW5BZ5OZeTgeqWpDmRVScXV1zvvvvzA229oMWdrmUDZup9vNhjRNQQimszmz+Yz+YIjjmWw2Kc3mVmtNYeNSlEVf88IgXa5ndEcmjNZE1JiBxrqcHvds1ksO2y11VRJGIbP5GYPRmOFwSBCFBpDBDLJFVbI/HEGcIjk0J5qCVpqyKFlvtrx8+ZrVckmn0zNbDwWepVxenp3/ZFH5p/gI4s4j44UTHbCpdVqf3JYdR7TCfPsiPiZnwWNNDg3I0TAoGjDLIYiwtdMaR9SNxbdBThtAy5hOmEihxgHX8w2dyvyIBlCQUlIVJXWeGsMFu71UjcmU/Vzz0WqBlKESSVUhdUmuocxjPH9CtxcRx2aLVJY5D3fvePf6Nen+QHI8MBj0ubm+RquK27evuL+/Y7/dslgseVgs8H2PXr/P+fyM2WzGerXhzZs3VGWB6zkcDnvWa58ySxACRuMR48kEpRT7/ZYsTRiNxgS+T54mZjiYTgjCkNFoQuD7KCn58ovPWS8X9Ht9yrpmMh7z8ccfMx6P2KyX3N/ds9vtqarKGNYEPp1uDI4gzXJLs/RRiDZiyNDuJZXUaFzTIDs+Dt6pFpksi0fvtQVJhTECEyrGC0NU5uBpgR/4hP0ewXBCHQ3IpUNWSbyiprDft6FgNgCDKzS+owldxTT0eTEPuZiGhIFjjGSKjOR4pCwKHGtsQ+MSWlWkacp+u2O72yOEw9ObG87Oz4k7HVzHoZY1qpQ2/7IkSTPSzDQ1ge/xyUcf8MvPPmM4GOJ5HrUyhmCqNjFLeXJgtViyXi2RZUnc6TCZnTOenRP1RnhBB8c17uON+U1dV3iuY7e3FUEQGbTdUqZUo2kVGpSkqDKKLGG/XrNa3JMkCb1uj8n8jPFkQtTpWKmL6SVkbYKqq6IgDgPiTmxB5IbKak3zZEWZZSzubzkeEzpxxGQywQ98hKOpVEmvP/+PU3D+Mz7CMED5CiWDRwYgkscZ1G06ECeGmVSauigRZXViiv0Rs6IxXWuMchzHMVo4O3ieJEePFgC2zj3OtG3awPZ5nVM/aWRHNldTmoZblsbsqC7MlrFx4De+CY0ztXEjlUqSo5D7kLfRgd4M3nvxnGfPnlJaLddyseLN23dUVcV4PALHNVmjdUVWFLx69ZY/fPENq/WOLC/w0ExHA65vrpnPpuwPB4r0SGGXK3e3t7wuD7x69ZayMLrs+fm5rTWK5HCk3+vhOIL9bsfzp0+JOjGdbo/5+bm5r4FXL1/x9dff8Nu//EvWqzWT8Yj/2//1/8J6u+Lf/9t/z9//7ncmQsgCX1oL229I8rIizwvTZlsQsq4lZVVTljV1qVBeTNDpWYfmE0MPLezurrkozL+Z4U6B6+I7UDtGky+8ADfu4Q/GeI7PyO0agKld6OvmdjUbaZrtICAcLtjy9GpsfUIMQCCrygw8SYqDQxj02kWQVibSZ3n3ls16RRCEPH/+PpPzCwIbh6Kt+aWsCso8J8tyU/9rw8R4/71n/Omf/RmdXredJXR7tipUaqjvu4fXZGXFaDJjdv0evf4QvBAhHFwvYlor49jbG+F4hvmiBdRlYWq6PbdkVZkEgrpC0JjlSVRpNOX7xRuOmzUIOH/ylNnVU8LeyJgA2fdFSUVlgZPBcIAfBqhatqB3XZXGkOiwJznsOe4PZGlK3Im5vnnCH759S12vKaWk04l+sm785LDo+h6OctHeo4BWO6g54scFonmjH1NHG955o+Fp+fCtYYR4BC6cmitzWj6iv1oThj9+mEHEHKxYrjFYqqFUJuBdNrbJFbKOTmJpm5+GHYiU3TyKqjRPLk0T6DgOse9yMRtydT4njiMcISkryWKx4rtvf2CxMChCtxvTcz2Gwx7Hw4Efvvuezz//qm1UiqJCOA7j0YD3Xjyj2+3w3fcvSdKUWirL+/bodXt04xDXdeiPxvR6HWRdczwecR2HXndAGPgUeY7rOIxGI0bjsUVZJGliNEsX52dMx0OW6w29Xo9nT5/S7XYNaoqgqjVSa3zPpxMZQThK4nmBWY9bi3VdG8dZAUgNSgukFtTahMQqDQh7yCgbWi8cSxW2UQH2Gml0kJXn42pjIez5gbFE90MQLsIEapgDCUBYbZeAU0RLTQyc93zmgwDPgbIwB8Z+t2e92VLXkv5wRCyVRU4VeZaxWq5ZL5cMBgPe/+B9JpOJuW44DQRaaaqiIs1yjmluhjut6XUjPv3kY+bzqaG1amXtwmvyPOe437Pf7aiqmm6vy3g8ZTyb0e32EI5DWZbUsrbajAgB5HlmUCzHMcL9srBUqkZUrW18hwnPLouUZH9gv9uSJUdc12E8mTAaj4n7A6K4i+dbaqy9B8qiZLVcsdtumc/GCNexYbI1wnGRtaFm3N/d8/CwIEszpuMx87MzDknFsN8n8HziwOPTjz/8yaLyT/GhZP0jV76W3tmeaKCtW5hqyqFoCIOn5sr0+paqZa97o1l8RM3X4GjNSYdrBj83jB7hZtbwxsCwDR5Hg8i2AIytkUK74GgcLyCIY8K6esQKsQdqQ29RBt2vy4IqS5FFSV0VoBRhCP1eSK8b4wVGY1eXJfe3t3zx+Rdslmtc4ZBkBYPxnLgTslre8/qHb9luN5RFSXLY4wjBaDRiOp0xnU6NG7G7wxFQS6P9q2VNr99DxgFlXTGeTun2OoBmu9uRFzmu51LVJVVd0e11TXxQp8dgMCQMA467Dd99/RX9bodf/OIXfPnl16ha8stf/YrZbMrv/u5vWS6X5pB2HKIgoNvtEMUdirpie8zIa20s17WmrGuzYa8q0wRK0I6P5wkC4SFxULppagxooJQyjprtNWIowa6y0UBC4QmF5zrEcYeg14OoSweXWtG6LDcXll3S0GQAekg6bsVZp+Z66NAJBFpW5GnKfrchS1Mcz6fX8fF8AxBVVUWaJG08Uq8/4PziCSO7kdVamzigrKAss9acpyhKisrQEiejEb/5zZ8ynYxNDdcKXVeUZW6areTAerVgt9ngeR5nF5fML64Yjme4QQelBcL1cbwQzzO6QzDDoBDmuY6HPa4fEEVm+yes818zWJZ5Snrcc9htOO42lEXBaDTi7PyS/mRKEEUWsLHnuJJkeW6unzJnOhrj+Z7VkdcIbTJTqzI3brCbDXmeM5rMGI1n6GDAaDQkeLug42k+ef+9/4hV5z/PQ0plz2ysYZ1jmmPL9nrsEdH0b48ZYtr2ZKod7JpItcffxeq1HedU3+zml7ZnhMdf9BgcRmDM7toh8WSgaD/ZDLaNjrUy16/Z1lTIymxT6qpEljl1WUBp9Nsm30tYtk3J2fkVNzdXlLKiyAu2mw1v3rxju91xff2Uu9XWbA27HRyhuX37hj/8/T+w2R4Ah8AVdGdDJuMJs7M58/mMMPJZ3N+jtCLPKx4WC54+mfDRhy9IjindyZzReERZlBx2e5aLBRMrKep2O5ydn1GWJaPJmF6/ZwDpXPP1F1/S73X5q7/8Lf/j//j/oNfrEoZGHvDJpx9R1gXb7Q/GwMd18QMfRxh9XFFUZrPoOOa1k4bNVpQ1+6SgDCAXMdJxbRZ5807qtv1/jIo29noO5r1wtU0fcBwIItx4gAq7KNcncIL23VaPn+vR7NA8o4Pgyve57Ds4VOja0OyzY8JhuyErawbDMQhMv1RJjrsNq4d7yiLn/Pyc2dU1vd7AGrzo1n27LgvKLDOZ50VhpEoKBv0O//Jf/HNm87kx5XJcu7Cq0XVBmhw53r9is9nghwFP3/+A4fwJXhC1P7tG4IUdJpc3jOZPTARG1LFJDWZwc10DPGpdG5OuMjM0VGWdoYuM/Lhnv9tSpAmd3oDJ2RXD2Tlu1EEIG9mEpcTKmiJNQEmGwwFCCOq6sL9rSZGlpIcDeWocavuDAWcXF7heyPaQ8bsvvufr79/gaJd//d/8Vz9ZN35yWKzrqh3YUI8KgzKNs7JUUK0a23fbuHBqsk5xB9aowW4AXc+4MQkriG5R+kdRCabp0pYCZq8v+3mNs5bjNNEd5kKTyrih1lIhpDGe8LRCa78tcrrN3rGZP02Qa1kii5wqS1ClGRrjwOVq6PHR83MmgwiUIitLVss1b96+M5saO9hopXA9QZ6lFHnO6uEeLSsTo6EVUejT63Z48uSKMIp4e/vAu7sFeWG2np7r0u3GjMZDHBSe7zOazuj2epRSUZQ1fhjS6Zk4iKAozIbC6jQEZpjK0oSiyBmPhuR5zmKxbIttXuQtFbbX6eA5gkGvg+e5yFqRFxVpXqFqo9VLk5Q8zYxlclFTVQrlCUqpkNZEQT96vw2TQIBQ7UbGHEoGJTaRAsYO3bUIvFn3e9YdilbQDo1JcdOINXpDhaMkvqfo+xA4kqqsyauM/W7PbrclL0qiuGO0qFZTqKSkqiocx+Hs/IzpdMpwPDZ0r4ZugaH2ybqmrCryrKTIKwQYi+rzGc+e3eB6PrXNjqqqijTNSZKUNE0RjsNkNmU6nTKaTExYtTVoqOuUqpZ0ekN6vSGu69Kra5N753oGsa/NBsT1TANbSxNhcdyb3LIiPZKlCXVVE3c7DIcjhqMRof19RRtWbEGTWrHfHbi/v0fKum0W66pCoanqgtViwd3dgxVq93jx/AWj0dAgkw9borBDFIZ88NF7/Jf/u7/6yaLyT/FRW72Wuc6w2/Q/amQs4n2KMnlEVW1ZD3AyfXCtA58JLXZtkHRTu5qvU8o6A2vToGnHbpVcF2OyKuwWsQHesJvPU81tfsZ2O6DM1kBbBsZjvbe2VuKyKqjzLmWeUWYJuiqY9h3Opn2i0EPpkjzNWK23fPftt+y2W3zfp67Mxi3sxNSyYr/d46B5/8V7IBz+8PmXyOWa8WTKcDTicDiy3+05HA6GQaFNI3N2ccb55QXJcU9RV4wmY7wgIC9ydrstURSYAHGlCEKfbqdHp9vBcVzrMmfoao7rcnZxztn5Ob//wxe4nonOsG0OvufS63bwXMF4MmI0GuH5Aevtnu0hMQYLNl80K0qOaYHyMlbbI/6lxvFDgtBDS7OJV9ppA6YV2HB53VK1hKXCCSURmA2Z6wh81zHXgWO+3tDwBZ7r4WAGHqE1nmvAVY1xBQxFRd9VzDuKrqeMVCBP2G7XHHZbHNdh2O0TRh1czzPsiTRjvzUUz9n8jPn5Fd3eCOE45GVltYw5RVHYIdE0kqWNaUIIrp5c8uzZjZF71DYzrixIkiO77YbdZo2UFbPZnPPLS3rDMUHUM7Xcbi6ENrp/x+rHEALt+jiOQjoOrucTBAF+GFnpgsllroqcPD2S7LbsthvSxMSujCZTppY94YUxOLYZlDVam0E/zzL2+x1SKoIoNOeirAz1uyzIkiO73ZbD8UjgB1xeP2E4OUN4EcMSBoMRnuPw6Scf8N/9N//1f4ry85/08Tiipe3b7T9oC3w0Ob8/GgSFxml6Otu3NbR7Y7wmTp4UdtBrc5GdHy8LhP2mDfPo9KeZH35s/dVw1/54IdF+hnAsRdpcZzrUaNUxmxpL91dlTl0UyLrEkRVDv+b6+oLrqzOkrMjTjMMh4d3bdywWK8IoRmrNF199w5Mn13S6HV6/esW7Vy95+uSCmycX/PDqHVVZM5iMCcOIu3fvePXyFdvdnuPhCAo8B2azCZ9++gGb7Y63b94xvzgHx+G42/Nwf4/rOjx79hTf9+nEMZ7rkOY5o/EErSFNUtCa+/tbPvvsE87PZ+RZQq8TU+Y508mY87Nzjsc9P3z3mtp3mEyG9HpdtKpRaWGi2bQx5wPbKytJVit2SUkaKlJCq7EXDZ+Lf/Ry221gs6jxBAihcLVCGaofjheivehH4FrLDGzeS0tH1WiUraWulASuw6hb09WJ0X7LmvyYsN/uSPd7dDzADSKEcA3Ffrdnu1kR+h7n733AbD7Hi2LTz+lTdEZt3aCLLLVSH4kQ4HoOL1485ZNPP26vISPNqU0d2hkjrSI/Mp7OGd+8R28wQQnPyNts5qjjOLhBQOiHOL49fxrKrjYLK8/6D2hlHLRVZaQZui4py4IiPZKnCY6SjOZXTGYzouG0ZWcIfYq+kLKmzFOS4x7Xc+n2eoYpUpXG1DM5kKfGiMgNIkaTCf3hCMczxmRZbaLftNB8+OFH/A//9//hJ+vGTw6LZVHYX/ZRlk4TcNnynG0kgs2uaZqYFj5oqQTOqYHyffwgxPX9lj7auAkK66jV2s87DSFHt4Xn5IxqDl/PNmVanKgLjiNsxIAwWyr7aCgOrh0SeYROVVVI7fs4jqB2cxw0g67P9WWXi2kPV9ekx4zF/R2b9RYfmE/HrHcHNruErKzxqprVYkV/0OXyYs7Tp0/Y7g4G8daas7MzZtMxq/WGH169YXfMEMIEYPu+y3DQx/ddsrTA9TwGwyF+EJBkJUVV4Qc+nU6HMAwJowilc3MoI1rnUlMENMPB0NCCdjvmszndXpeqrOj3u3zw3gturi4oi8yK0c1ButsfORxTIs+jKkuyJOVwOJJmOVlRkhQVwpNUOC29+HENsS+yLQfYSAhtemFl0GKUbFFzx3Fap9ValxQKilpT1vaas09kRPamcXYdCByF60lcoMorDjIlS44cDgfKssRvNghRZBxyLVoZBCHjqYnViOPYXDda2WHS2hSX5sYti5IszymrEtd1iEKf6XhEv9+jDZSuKjskZtRSEscxvV6P4WhIvz8giGJoIjFkzuFwwPF8giCy9ByjBWmKaGE3G811jR1cjd39kfS4oyoLhIb+YMBoPKE3GBKGYavbBVp9h6or8jRh8XDPdrNm2O8ReJ5B7WtDyV0s16yWK1zf5/r6mvn5GZ2OoY0UpaTWO2pZMZ+P+K/+1b/kL/7iNz9ZVP4pPsqyfMSAfzRY0WQ1PTIwsRrT5iB6PChiryUsoi4cF89124Y4CIL2wIDHbouipXQ1aL7JELVu055jg+sfG+2cGjPHbriUBVSarFnVNnsW1EMbt2FZIwMPGYR4UYwfRbjVkaupx9mkj9Bmc7VZLnj16g11VXFzfUWRlfzww1u2+yP9o7Fod4Tg4uKCi8snbPcHsqLgkKR0+0Mc4VKVFZuNyR0rqhrQTGcTXrx4QRyHbLcV/X6f+dk5nudxPO6pq4LL8zOzBReGkRDHEVLWJElGGEUMxBjX84k7XbQM2k1H36LtVVWBhvOzM4aDAYfDnigM6MQRtVRstnvzXIGPlJosL9kfUnbHjER5BHcropsCMRjiB66hVQiBxrVDo6FV1QpLD2+0cGZr7EjTGGvXxRE+bhCAZQ8UWUZaQ1YpqtrSjbVJN21AU1dAIBQ9t8aNKiqtKKVCy4LjfstmszIZlOMxURzhuC51bfJ4syzH9wOms3NmZ2cEYYzUmMEwz03UR1VaA7jaMB5qSV5USGUayouLc7qdGFmXJkIny0jtoHg8HAmjiOvrG84uL+n0BmgcpNSUVWmkHhocV6H8oAVVHOEgXIHrCGRltsyx65o8WYzpQ2G3icfdhsN2RZ5nBIHPYDBiMJ4yGI7xw8ieLyd9nKFh5+w2K3abFVEYGHCjLlFFTpllHLYb9rsdChjP5pxdXDGazhGuZ5y8lfmZZtMJ/8f/9l/zX/zLv/7PUo/+Yz6aQRCw546FfJWNcFFNTIKhytV1ZWJ6ZI2Qst0MOq5nQKzGRdV+dF0P1zcMosYl3DjRuqdhsqFai0fbw7b2WfNDS9FvmGNgAJbG3wJtFwoe7YJBOk6bo6i1g6NNpqmnFDruWkmVhCrlul/z4ukVoatI9ke22y0P9wuOx4TxaEDY6fLqzS33D0t+8dmfsLi/5/XLV1xfnXP99IZ3797x7XcvTb/hucxnE97dPvDNtz8gtTB5ijbe5sMPntHpxdw/PBAEAZdXT8BmUPq+x9Pnz5jOZ6xXaxxHkKYpWpjYtLIscTAGdHme8fFHH1EVOUWe8uLFh4wmI+o65u7+DoBffPaR0Q13YuIoMlrxuibLTKyS5/tIBWVVU5Q1de2yThVJDJXyDKlON2Pc6fEjJqAwg4sQAlfr1vXeQRmTST9ECo+y1khdUVGb2KDWYLDJuLZUZIz0qEtNpxczcgvCsqIuE8qi4Ljdsd8fQUOnPyTsDqiqkuPhSJYkjEdjzi7PiYcTE3iPONGcpXGKr0szKB4PB9LEgPZgQNmbmxt63Q4Is1VVZUGVHzlslhw3Szzf4+r9XzCdn+PEfXsj6XaxIGvDGnQ8YyDn+obxoLRGSEldF8iqwvMaM0Eb/1KmFFmGzM2mU0lJ1OkzGI2IxmeEQYiyjvhtxq7SIGuqPOewXnPYbvBc0y8WeUaZZSTHA2V6RAOdbo/hdG5lUL51FpZI+zP0+13++//+/8xHv/j0J+vGTw6LTcHHbhMbe/5T9o3RgGHpH5YM3TZPzc3eIuLQRm4UXmYGR+u2+eOcxsYgAvu1GtG6Ep6GRddzCXzjduUHAZ5vh06spghj6dxe7JyQNKUk0hGgzcan+blcxzis1q6Lo2uGfZ9xP8IXmvSQsFstWd0/EEcRZ+dzKq05ZAWHZEmal/QHPcIw5OLinP6wTxAE/MPvv2S3P3JMcrq9jHd3C+7vF+wOCbVUhL5L5HvMRkPm0xGqrtnudnS7A/r9Ib4fkK23pGlKFEV0Oh2EdWlqFnnGUj7E8z3qyuQGjgZ9wiCg3+vR6XQAyK0dvu97xNEQKTvGEbDIybKMze7A4ZAQjPp4rkNZlez2O45pzgSXQjvGDEU0Gz/FiTysLZpTYzBIcwgpzHWhpQklVdY8qHnNwXDqK1lSSU1RKYpK2gDUk2bBdRw818ETgsgTdAIHV5u4AJkfKPMMpaDT7dLpmPwxPzgZMgiEsdD2fHyro2jAA60N97sqC/I8I8sysqwgzw1VAQSu6xJHEQ7CRLDUFVlqPtdxHIa9Ib1ej063RxRH+L4NdNfGmjrLMvb7A6PJ1F6DxnHQeXTd59poDXq9rqWP1NRVYaJfihyAOO7Q7cT0B0M6vR6eH9p7otl6acvNN0jabrNh8XDP8ZDQiSIya6Cz3x9YrzcURUV/MODi6orJdEIQ+NbWX5NXktfv7inrir/4y3/GX/2L33J29vPT8dRV1f79xyYNysbAyFNYtHVUbg0XLG1Vq9PRqrRGC0Ofaq4dLzDulcaF9FEMR0NXdU4gWav35eT23CD6bZxGk+PounieaZxwTAZnk9Pncmq6cO09qTTaddDKRbourm/qRg+Xp5cR/dilTPccNwsW9w94rseTqyt8P+Cbr79nud6TZCZX0RGC4WhEkyu5WCxZLlekqTEaCIPQgC9VRVFWSCXpdiI+/OgDppMR292a7WbH1fU109mcWkqS4wHPFQxHY4LA57A/IrRxWTVxDaUFWXyKYkdyPBIFLqqu6XZC+v0hruew2++oqoLJxFzTm82GLE1Aa7IsZb3dk+SFGSikZr9P2B0S8lrha4dDBctDge8WRqttLd4bky1hTiVcIXBdM+ApDUJag69amObVcSyzxgyLdS0pVMkhrdmlJWleIpXE0cpQUO1777sOXVejw5qxkpSu2QIoWZOlR2Rdm1rQH+D6gaGqpxl5WRGEMZPJnOF4QhBGpjmocsoioyzzVstvwu0rijwnLwryokRb4LHX7SDQVFVBnicc9ju26xV1VTOfzzm7uGQwGuGFEWBAt7o2tux1VZv6LVwjlxUekeOh7SYQbUxo0uOB0aBvaVoVWXJkv12THfekxz1SSnrdHsPxhOF4ShD3DHvCgntCN3prE1p92G25v33HbrslnM9QsiI97En2B3bbDXVZ0en3Ob+6Zv7khrjbRwsXKWuoSh7u79lvd/zpn/6av/4v/wv6tlb/nB6Pa13TUJ8YCboF/00cjJHtKKt/FtbBVAqz/W56NZozzJrcCc81DawfmEw/r4mwaswPW6qYwUYs1bTVJj4aGp02rshtqaxNRIeJGvLMgPAYKJONsc7JZMcsPACl8EKPpxcw6oaU6QPr1Yrbu3vqWvLk5tpETD1seHf3YJhPrsvrlz8wn4959uwapTVJkpCmGUmS090dGI0mlFVlQSuBIzS9TsgvP/uAm6cX7HcrkjRjMj9nPDsjiGIGwiHJMhzhGKnRYU+Wpbiuw9XNM7r9Po7jEgQhWZJSFCVRGLLdrHFch08/+wTXc1ivdrx7+45hv8/19RMWD0uOhyO+71GUgqPVIgeecRuVtSRNc/KiIvRi9jokKc37qsQp2uQR67QFU4VuiJdm/+iqEiULHJt5jucjPDMsmn6uIq+NJrquZbtHap7FnEsuwvUYBRWzTkxXFLhFRVUkpMeM5JiiEAwmU/rTOdrxSI9HqrJgMpsxO78g6hlTGo15jzV2EWSzXPM0Yb/dsNnsyNKMsjbgkBAOcWSc57UyIFqRHDnu1lR5Qm96wfnFBeFwhmNBLcOubMBYI+uQtcb1CuhqXNczgDHgOBKlDJMj6Hbt4sD8XLUFsVRV4Hk+8WhGZzQh7HTBDdqz4LSJNd+7LjL2ywVvf/iew37PbDZFtvFFR/IsxRXQHwwZzecGuPV8y2Qy7rNNBvxf//U/51//t/97mvi0/9DjJ4fF5r1sZj/T+D4aCFsCoqU1PCI2n9Q8jy4L8YhvLqW9sRWOU9OaBjRUxma4tF8vTk/TfmyGx8YaOYgjgjA0GVCBtZwXdlPZOhiaH1NKp7XglVJa4bShBfmug/RdPF0y7nsMOz4uitJmQvW6XWbzKf1Bn4fNnq1tMhzX4+Lykg8//pCL8xme77LZ7Hj99paH1Yay1tTv7vE8jyzPqGvTHMShx/lsxNObS7pxyGq14u7ugQ8/nhJ3OiitWC2XZGnKYDAENElyIM8z62w3Mdz1wMdxYLfdsri/t/mGcHd3Z8XOmru7O96+fYvrOsRRhOc6BL5H4LkmfPmQkBUFWndxPZdDmrJYbyiUQzicooIuuRQoFC6NrlSeNiwN9dTSUMx2BBwUWpbIqgCt7Wb4pFfEC0D4JlTRl3i19QJsaC4Y/aPnCGIPxrFmFIGnU/Iio06NeDiOY7qNC1gcmS2O3dSYzUyziW5yyJqBQFIUOVmSkOz3pMmBNMspisrQTe1Q2eitisI1zVWe4/k+g8GQ/mBgQQsTS6BpbkhNVUrW6635fNc1lIg8IwhDhOfbGw2KoiDLMkMBRaNqaZDByuQudrsdOnFMp9PBDwM8z7cDdxO+3TicVVSlacZWyxWLhxXHY0LgmQxQrWr2+z2u63J+ecnF5SXdXg/Psxt+FKXWPNwvePfuLZeX5/zVP/9LptOJCR7/GT4aWmi7VdQn3bRhwzdbPOtS62A3TXYAEw11tbU6oaEDa6uPUUqeaPNNTbJVrmmUeHzdN7R7cbqfXLdhY3h4vofn+/i++buhujZN3GkTj25+IgccjZaWButopB1mh50O59MYV2eslwsO6yVRFHH55JrBoM/D/YL1ekuWFXQ6HW5ubpifnSO8gDw3uU0vf3jZ0twPxyP69h1COJRVBQLCKOD582vee/GMssi5ffuOw+FIp9MjiGLq5EhVVTZQ22O/37NZb+n3B4wnUzqdHmHUpdsbAILtZsNyseB8PqEoMoQAz3PYrFfc3d6yWixwlCSKIo6HA0mS4HsehyRjuzfGVUFgNo1FklEq8HoDRtcv6J4/ZVcJ5OaI1sKAPsJsNxoGi6GLOiftl+PgovBUCbJCKxPaLVwH1w9xvcBEBOHiuYrAc82GVzlmsygwTYZw8V1B5NZ0A03Hk3i6Ahtt4/kBw3FIpz8g7g3wvBClTZZxvxcxGI3pD6a4fkBp6aNlkVMWhaGfW51+XVUkyZH98UiW16R5bp7HNQh7WRVUVrOTpua1u7i4YHZ2TtTp4XoeUknqujSGGZYCVZYVWpgNbJblVLWhHoeua3sKxX674bDf4t08wcRXZCSHHelxT10W+IFPt9dlMBzT6w0NtcxSWZWyxmvW5bmqSvL0yOrhjvu7O477LZ0oZLfdIMuS4/6A63lcXN9wcfOU/miGF0YorNkYgjTJuLu94/zsjH/1r/4VlxdPqNVPN1D/FB8mkgqaof1U69TJE6B1LDXMMZREaHUyyhJgiqJAC2UpGcbczgBrDjjW7bl6FJoOLZW/7SH14z7xBDybj8JkajeZz75ZDASBpS/bJYFrHdgb3wflngyjlG4ylc0Z7ihF7AacjxSOqthvttzfP6CU5r0PP2B+Nme33XH/sGCx3DIeDRmPB8zHIbPpBNdz2Wz3PDysOCQ5ZVnz7u6B5WbP/nDEt/m1ncjh/edX/Mmvf4EjFK9fvma12nB5/R5hHCFcnyw1PgG9Toe6KlktF4Rxh+cv3uPsyXVL9fU9A5plWU7SMDoQBL7Ld199xfF4IE8zjgdzLy/uF6A1k9mUWkr2x8SAUp4gyQp6oW/+rVJ0exNyt0MuNUpohLDxQeLRUG+unLYfBxC6NrNAnUKVmc2iAMcLEX6MckOE4+E7DtpTuK5nh8VHU4FwbHawMY2cRTlnHU2gc6gKytz0WNr1GE6njOcXiCgmzwrqumYymTK/vCLodKzxi2gZNCaD2FDas8OB3XLF8v6B3eFILTVZUZEVFZXSHA7GST7QhcntPO5RSjN/8ozB/JIgjGw9w2z3tJFDnZZjCllWZHpPGPeIOkMzWAqBJwR5KsmSA3GvZ353pczWvpIgHKL+mG5/SNQb4Phh+7s0TKeGyqotuJfutrz69lu+/fJrpKzxXI9ut2MZFjVBGNIbDBhNpsS9Pq7nG5lXY3wjaw77PfP5jP/Df/d/4tnNJTLP4SdS0f63h8VHP2hTJTQGRXW0Y5ok59H0ZhsswY83ea0msUGjGiqVc3KUa6lV6EcUK0CrlkjabIIeFxalFVVdoQtT+Gsp8aXE9X083wN8XA+arLTH1EmUiaI07l3CGrMYMX4sPAZ9l17s4LkVruswGA7oRiH9fo9CGvfS5XpLWVbcXM/59Z98ypPLM3w/YLFa8u/+l7/j93/4kkNS4LgeaV7iuSa0HsD3XEaDLhdnU4bDLkma8ur1OxarDR98/ClaK3a7HQ8L4/Y3HA4pq5rj/kAUhjx79oyL83MzdHkeVVWy2azZ7/b0OrH579WKIAgYDAZmg1fX5Llxy/M9c5E5ApI055CWZJUmzWv2aclqvWNzyPGGT4gnl1QipKwBYXSeUtq8uMo4yjbvfKPV8jwXzzEoG9K4NrWUYt83DZQfoL2AwAtxtcDXxkRHtZoGbQ12DDWr40mGYU3sluiypspLtFJmqzDoE3c7+FGE7weGEtDoZK0FuGMdJAzqaIpKkeXsd1s26xXH/Z6qKpFSkxcVdW3yJCul2B2OJifTFUgljTPjcMRgNCTwA+sObDaWUpmtVF3XHA9HlouF4ba7LlmasCvWhGFkNihhCAh22y3J8YDrXFqk3iC7hoYXE8URURC2DnPNpdzEPkhpbJersqDMM46HA8vlitXKZEApC4x0+x1GkymXV1fM5nP7/bH3uTEtyvOC7X7LaNjnF599yofvP8d1HJJj+r9ZNv7JPcSP3d4eh3E3Q4FAmTw+4ZjPFPZaB3Af1yXaGtmOgu1ziNbABN1UU7vdVuaaOVG0Ti5xJjTZ0Fq1Y94j1xXm/nLNxt11TZyMRhnatzCmTapuIMkTpKtVk/eoKDWouqIbunQCQZbsSY8HeoM+N8+eM57OSZMjD4s1q/UOEDx79pRf/9lvmJ6dsT8kJKsV3337LS9fvqQoK0BQVhWr9QatTYZVtxNxfX3Jp59+iFYl33zzA2/evCYIOy1aW1YFQRgyGI0Ah/X6lizPuLy8Iu7Elj1i6IVK1ty+e8d2s2HQjdhsthyPCb4XslwsTW6gVMaATCs26xVaw3g0Zn84ckwytHBwfY/t4cBmvWGf1wwnUybPPoHBnEMhKVNjZKFs4yxs5IJjqe0aYYY7zzU5tq7AR+LIDFmXhn3jBzh+gOP5OK6Hr126wsEPAgNGYa4Fx15fCDN0RiqlJ2oCR+Joq232ArqdLn4Q4kcxXhDhuD6e4xB1XcIoJoy74LiUldUnlqUdFMuWWpilGYdjwuF4IMlz0kKxP6ZUtaGMbayLaoBhKERxzGQ8ZjQe4/khWmvznLXVA9rhsyxyirLC8yMcNyBJjqRpjut6TP3AGjwoNqslZWFYLsq6PWutCSITiRL4Pp1ulyjumcw2S+dvMWOlqK32Ms+ObNYLFvd3HPY7iszmiW22aCXpdHo8f/9DZpdP8OMuOB6V0qi6at/T/W6D77n887/+53zy6ccEQUBZ1v8Ris1/3sfj2mYAI8eaK4HW4rQcMBzV08d2wGseCq0b0xlhpEfC/GlcT0UjPXIbeYRlGVm2Witban42xKn3s4NfGIXEcUzc6RBFsaW0Pqbi/9HvZFluDhotMJEZwrH3mEOgFaPYYRDsyY87svUKLwj58IP3GU8m5HnK/f0Db16/pSwqfvvnH/DRB8/phMYw7pgmvHlzy8vX96RZhdJQHDP0IUML09N5nsN0HPHBBzcM+j1ev37F559/gxuEOK5Lmeds9gu++fJr9vstvmdYRJPplOfvf8DVk2uEZSY1rKjNakOaZiyXK6qqpCwqFvd3FHmOIwTLpXHfH45HaKVsP6jI8pIkySiqGq0E2/2ByIHFZk/thoSjM0o3orYRFKYG0UyLjx6nod7R2gIJNaLKEXUOShngOojBj+yw6OIKl8gX6MCY5qhHT6rsH0cLAtdlGpUMnAxdl1AXVErjRh0mgwm96Tle1CHPK2ppzAvPLi8Jul2rOT8Nio1RYJEc2W2M+c3D7YPJoHZcHDdgfUg4ZDmlVNzd3bNebRj6xuRICIf51SXDswuEF7ZAMqqRdTTXrwSrHSzyHOWU4CwJO306/QCEg6MlVZ6SHrdcPHlifm9lDBe9MCLqDwk7A5OP6P7RSNYOifa8rnLy5MjD7S3fffMN724XOI5xEp/OxiZWr9ul2+vTHY6I4hin0YqrZtMqKYuCNEn4zW9+w69//Ws0msP+wHj8H64bPzkstjbHwrifKqsxE65rBkF7E2pl9WttIdAIwwN9hLSLR+Y1xoJfOI4xuBGubbKxNB/nRE+wKH7DlW6LUEPVchr6ltsi71pDVVbUtaSuXEq3sE3VaVhUNl+oKkrKsjKUQOsAJbUpQn5gaAtCAUoS+B5hJ6YThbi+R3FMjI4sSYkCj+dPL7mcjUiPB169ued//v/+O37/xTdsdkezlWgphwLXav5C36PX7RBFAXmWkxcl94s1SZZTS0WSpqxXa6bjCZ/84peEUcxuvyMKQ/qDIRcXF8RRbIuroDjm7HY7amlCmetamr8Dg0GPTscEyS5XKxzXIeoYXR9oMuuEV2vBsVS8XR5YLHYcS8HF9JJwOKPSmBdEm92xcFzaXGrDN7JbPNeK2s2gKFSjbTUbTke4hqKEwLA8FZrKmkY4luBgUUbLtRW2offQBELiakuDFhB3YvoDEzPihmZQNPQX4xDYBAybi7JxkjLDXHI48vDwwOLhnsNhj5JmiNbCoaxq8rKirBR5UbM7JOyPCd1eh04nZjA0G8UgCNohoNG5VbXJODsejqxWKzabLePJFN8PqOuK9XJJWZWcXxj6p0Bwe/uWw/5gKDlghjtHEEURYRgYDYjV1TaoXzNwSCWt5tKYOCTHI6uloQXuDwfqukbQZzwZ8/T5MyazCZ1ur9WNNhu0U0EpCX2P917cmJy1KCAQUFY/v82i5zUuY/o0TFkgQSCtqByjQdNYavwjej20w6PlVbX6w5O5wyl70X6zdjB87MLauJY2jVkLvgmBFsK6GZatSUlDy2oYFDiPvod5ArMVwDaD9uc1SLug1AJX5zgiBllaHdyEm8tzxtMJtYSH+xWv39yRJDn94YBf/smvmJ/PyfKE1eKW7779hi+++or75YqqNg2jEeGb7xtFIYPBgMvLcxwHvvvuG+5v3xkdtu+T50d2WxNWPZ5M6A+GLVVyNBoznkyo69o4SguPbrdHmhS8evmDoY3nBZv1hjTJ6HZKHCGYz89IkpRXL1+iLJg1mYzp9vscX70lyQqEEKR5wcu3d9zfL0jyiujKp/Zi8kKRVzW13djZztmeZvrkWmuNHVStkLqmdgBqPJWjqtKaHxgaqnA8sxHTGs9xcXyQPqdTUlirew1CVXiAq2qT/6s0uD5Rp0sUd3A8D8czgJvj+hYwDK3NvmMzU6Wlspf29VRkWc52uzW03CynkpJSKfZJyXZ7JC9MLthmt2e9WTPuhMRRzHAwoN8f4Lq+Dfg2m8TK1oMmOyzPUvKipj801v9SCXbbA+vVmqjToz8YGNfq/d7q2TxqWSOVNJsibwRoIzGJYnA8O8AY8yDQ1rDCXP/Jccdus2R5f8thv6UuC1qNpOsyms64fvYe0/MrhBtYurB1yLbDYpnlHI9Hzi7Pefr+J8TdDlornGaT9jN6+L5/YlHYj8rqzhy7cZa1PVUUCCXbKCxtgVBsP9MMg8I1TAfXSjy8MDADf2Bc3U2fLanKyuhjq9JuOHW7KGhcWQ2o2wyZHsEjxkRdV4ad0SwSHhXTJgZENnEZjTRKGINF4Tr4fgiOIAgDVJ6wL9d0wojnz5/TGw0ps5y7d7fcvrulLEouzuf8+te/ZNCPkVVJmqfc3j7w9Tc/sFjtKKXEKilNz+i5xKFPHPlMx316nZDvv/uBv/3bvyNJUs76Q7bbHer1K7QQ3Nxc0el9ZCREnk/c7dEbDHA8Y2iCBW/LouDlDy/J0ozdzhiFSXs+hZEBbhCCNM1MjxGGJlakrsmyjLwoUQqU67Da7Dhudzysj0yuPyAajJGO/2iEa7mC7Rn1+NE4f5voOgmyMlmXQph71Y9RbmDNbUyNlNqcn6a/bszhMNmNtuf3BYTUBHWK1qav83ojer0h0XCGG4TUtaaWhnUwPTsj6vYstf3E4JF1RZla2vz9PXe3tyzu7tjuDkgpCYYmEnC5OZAWNVJjss2Xa8KBYYAMz84ZzM7ADeHRLNOafFoHXpUlrJcPbPdHzubnRL0hSZKyergjDDuEUYzQFdv1gjxL8TyXJgPU8xz8wQQ/CHH80NJABc3U9DhbVFoJV5Ec2K6WPNzfs9kYlo/vuyil8QOzTYy6fTqdDm4QGU1xu8SznjO1pMgLPD/go88+I+zE7Pdb7t694+mzj/+DdeMnh8UwtMJ07T2iKvjmRpT2v9t8HsuFbZsci7Q/Rn0e2R+LZuhsIjVazaJonVB5RMVqqamPhkXzujY4hc1ztE5BSkp0ranK08UubGEES4O1DqhVVZpwaq3MAOMYXVHcc1HdAEdFhJ5LN+oQhCEukKYJ6/WW4+GI68DZdMyTiwm77YZvvn/N//v/9zu+/uEdtVI0MRAaWlc87WCbCGGGiqLAszz8ODbI+nw+JwgChqMxH37yC+ZnF2gNg8GAi/OqFZALxzpKyZr0uCc5mjzGvCjZHxMOx4x3dw9EcRct4OWbtywelsxnEy7Ozxn0TNSHoVxKhAO11oZemxZIL2Ywf4IIYmsRbxtb0dj/g1BWP/mIjmV0CBi78kpR27W9I4zeVLi+weetWYyU2EgOo4S0CkgA+5yC0NFoJLqq0E5pMsgGPXqd2FjHe5512HUsTS/AcQ1Vs/HpldL8qaqa3WbL69cmU1BrReAHuKEJo61qSa00WWkcYotSUpYSV3h0u12GoyHdrsnkOdmIm4JY1yavabfdslis2G53lFVNGIYEQQDa3NzH5Mh+tyX0Xaq65vbtWwI/xHUcpL3HXEvD8ayTorBF3OzEaencUpoN++GwNzTC3Z7ddkeSpMhaEvg+V9dXvHj/PSbTCWEc4bom20yYO6eNnamqmrI2W55Or0cUBybXTakf6YB/Lo9uJ+YxCNVuCO3Ao6S0m3RrHNTG+ZyYCqf69cjwQQirrzF6wda8wVatxiHwR3EdzeBonUtlU8+UauuslDVVWVknVXBs1JABak71sf197OD5OIVI45poDAQdt8bTPtSSTuRxNh4xmIwRjsvy9pY//MPfs99uGA66XD97zvXTJxyPO969e8cXf/iS16/f8XC/oSwra1qA1foaPbXvewih2azX5NmBuirwfJ/+YMB0Nif0faqyJAwCxsMxnbiL1prJaELQxkFI0szodlGS7XrN3e2tyRDLC5I0I8vzFiTpDwas1xtev3nHaNDjV7/8jKdPb7h7WLJab+2gGpDb590dE3AjOsMJTtRFEBEFHn4Qmoa1eR+FdTvVzXtiw8OVRCgTmSFqhS4MUKeFAD8Ez0cJQS0t6wCBtBXulCtr2BlKg6grXFkgKZCiRoQuUdwl7vbxw8ACn247iLqucZbWQrQmTJXdIqpaUlU1i8WKxWJhQLFaEkRGRyvrmrJOOSQJVVkb4DHLqcqKaDJkZGud47omLqmh9HkBoWMMs/IiYfmwYLlc4XgBnf6UIB4w787woy37/YHNZmM00VVGkWcM+uZ9VrUZAHzPB8y56Hm+Mb4RjfFKoyW2mWt5ymG/Yb28Z72857DfGkaIUvheQH8wYnZxxeXVNZOzS3B8pLZ2d/qRuV1VkRz3VGXJbHbGcDhC1jX77cZY6P/MHmEU/miDB0010u2Gv4kTqxtvitpsqB8Dwo5l6rgNaGH/7nqPjbhOMRna5l6XRdFGSClpnq8943xzzjm2fhlmTkWaHKwWtjTsJH2i7Teby3ZsVMaAsaXP2iUGjsB3Q3pxQGc2IFE7pn2Hy8treoMeRVmyXix59fI1VVnR68V8cHnN2XxKXeasl2ve3b7jzbs77h9WJHlFJTHLFIxBoe85RhLgehSV5OtvfuCYbAmiiBfTGbUyv+uT6xuGowl+YHRpwCmbujHke7RV2u93vHnzBhCm1mUZUioDhnsOaZI+Gt5NfxXGPmcX59w+LMjzyvYJcPewIktTKifg5vwavzek8gI8nB9vef94Smz6MXs8mrfIxqXZ11d4PtrvoIRPpYXJOrdmKoah1dCBdbvgcDyjCdVKIUjx3BzCgMDvEg3nRL0+eKHtS1JryjIg7vbbTZzWRn4ji5TkcOCwWvBwe8v97S2r9Ya8KPHjLvPRCLojXr+5Zb07mNQEoK6kAemnc8bzM3ozI6/QTdyPrfONu64uUrL9jrs3P/D6h++ZXn/E/OIJbneCv99x3G959/YHzs7OEWXK/btXgHUfVYb547u+YQT5Xpud2PwuyuogVQPIFRnpYcdhs2K32ZBnGUIbwLLb7XB+cc5kfka33zPeCJ53em04Gf3IyuSSGlB2yvnFBWWRs7i9Y7dY/GTd+MlhsWv5tTy+hB5x3M31rHicuYPlwze0VX36Mlr8tKEZNDRDq7GBhnZ4KmL80X8/JkG030sZ/nBjCy+apl2faA6Nm6ugGWaVNayQRrArmi2zEcY6AjwNvUAw6Qf0ey6Ba+iTy9Wab7/+jvVmx2Z7IPB9ppMhceBxf/uOLz7/gu12w6AXUytlMmxs41RJ1zTotukzaHmJ53lcXl7Q6cbMzmb0R1OePn9G3OkynMwZjac4wkVpTRhKojDAsaJxQzUzz7Xdbtnv95R1zXZ3YLHasN0f2R4SHlYbHMdltzcIy/vDEVdPnuAJ476VZhlSSjzXQSpFkmfkVYXXH9KbX6C8AK2axrMZjMw7IhoDjsZ8yHVx7ZBvjD/MzYYQuF6AH/j4YYTjh2jHDI1CNzeKfmRHb0S4DU1YeAolarRb4YaKfjdm0IuIogBh3Z2EUHjCBJk7jtEPNNeDrCVlWZLnGZvNhrt3txx2e4bDAWfzM6IoJM1Sjoc9u8ORstqSpAWF3dD6fkB/NKTfN+iNoTk3jd6j9zQvOSYp2+3eDGvSDGudTpcgMM6Fo0mN47oEvtla7Lc7tpsN19c3J465ECdhf7uVarZQBiSQsrbNYMlus+Hd2zfsNhtjfOR5DPpd0iRhNBry3nvPmcym1ujHZAkJxxwiWpmYjqosORyPpGmG4wo6ndgO4QLHfZyR9fN59Pv9E1uhGfAa9Fpj+f7aNsqN6Y1BS1VDpWrfk+bRoN/2fNXKgmDNEHdyQz0h7Jw+xz5lO0jauivtsHgaIGXb+KKt+zC22jbsDqXa7RW28dbCbPEdrYl96AXQDQX9KKbT66KBw2HPF5//nrt3bxgOBsxmZzx5+pSqTPn66y/4+suv2W0PlNLq1IV41Nibn8NzjW58fzggZcn1k3Pef/89+jb8uD8YMp3OCKMYPwhM7IU1BgqCkE7cxfOM6VIcG3DPEbBeLtlutmaQrBXbzYbDIUXWiv3+SBRFLJdrFg8Let0uz54/Zzqb8v2rtxwORwR2oywERVlSS01vNGB2dUPQ6VLVwlBevcDS1+27KuyWGBfHtRt519BEHe0ipABRUVcG0NGOi/Aj8EKkFkilqZRB26W2ERy2ljaDtkbjyQq3LpFOhRs7xL0Oca9HEJr6YehpTQadeb2k0qCkdZgujRFXVZIeE27f3XJ/v6CqawaDAcPRiKgTU9UV6/2e+9WBPC+p6rodjHvdbjsomo2ibt/nxtjE9c1WYrfb8fLlSw6HI8PxGZUEhUsU9xl7IVI75EXJ8XikzA4cDgcm4xGNk6lxpcYOGFYXrKQ5W4BaG+lEXZXkaUKy37BaPrDdLMnz1FxvQhgX8cGQq+unnF1e0x2OaRypHQsEmc2oMuY+Wcb+cEA4gl6/j6HX5ka3yc9vWPRtlJSwkqCG7XQy1nq8Y8ICk83w8viZfvQf7ec2jxO+b88t7eIGDoHvt1tAE83Bj1hjYAfWliovUdJy1BzXbrbahNsWXGsWDiAQrmFhmPpZmQ2/LKnUAVJBFVX0ngRcnE3pdAOqsuJ4OPLm9RsWDwuiqEPgB5ydz1Cq5u3bd/zw7fcc05Qkr8jykqqqqZVZbmgBjnTIi5q8MBTD7Q5G4yl/9S//ktFoxFeff8Ehrfngo4+ZnZ1jgMYmdvy0UMA29tjaL4AizymKjCiKTFRXlpOVFfeLNQLNcrlitzuS5uZ+H42GPHt+Q384Zrs9UFQVCBepoUgzY5QzGjOYX+F3eig8IylrBqP2neDR1dD83RxOjm7qju25hWcom16MsqyxBjw3LDRjHum4zdlkf3/HRaDQRUalUpwOeJ0BcX+A6I1MpJgWVJWJ03Fcj16vj3Dd1vG7LgvyNCXdb9isVqzv37FZr6mlZn55xWQ2ZzQ7RwvBq4ct2y+/I8lye02Z4TqKIobTM/qjCdrx7LV8ooCqujDZxMmB/XrJ/dtX3L17h+u4zM6viPsjtBfQ7fXQWpMnB27fljj5jvX9W6ajPr7vI21UlvEdeDTbWFamkhWyLpFVbmOSMpL9jv1mSZokCAH9QY/BsE9VSZ49u+bpe+/RH09av4zG66C9npSpnVWZk6UpRSV59uKGOI7ZbdYcj3sGg/5P1o2fHBaDwG+vFP3jS+VUIB4VkCb/5vTxUaNjh4DmKjxt+X6MYLQbw0eXZ/Nlp3+xDYkwNs5a2MLjGPpXc5MhGoIAdgN5yhdyHGP+QGNwYnOhpNRo7eAjGfYcLiZdJr2Q0DeI1W6754svvuGbr79DKqik/Vql2O2PbLcbepHHX/+zT4m6Xb754Q1/8w/fkhcSbdETKZVpOqUZSgPfZTwa0uvFqLom8j3O51OiKLTC7gBVSzSSNM84HA6EQUDciXF9K/jXkixLePvmDavViqpsdColpZRIqcjLijCMEI5LL46ZzWbEcUxVVewOCZvtnro263GtzJbKcMOH9EYTsxVB2YtQIJyGitcc8MJuAK1O0fC0UFK37mRoDa6L4wd2TW7QG6VB13Y7VinKSlLV5sDQ1oUw8By8UKFchYuiG7oMB5Fx7XMEeZqQFyWe7xNEwuok7FZGG9pAkiQc9wf2+z37ncnievr0hqsnVwYcEYL9bovWimNWkKQ5SZpbB0zJdDbm8vKc/qBvgu/t9aW1pqoM3z3PTTFOEvPR9TziTo+422EwGBJEHdOI9Y1FvRDGWKmuHyjLsh1CG0CmHSgahKihRmkjVK4b19Pthvu7Ww67HXEUMuj3zHvhGYfcJzfXXD65MnEirul8VYOu221iURRG57hYooDBcEy327U0Ga91Lv65PcIgpEXWH9ev9rU3p7qDSSdx/VPta4CI9mC0gFrzJC1ope2g1jw3uqX0mD5XN+Wrbdic04Rih9dmCNPt3090FdVu/Gk05naD0hzZTYOilaLWglqZPKlZz+FsGDGMFXFgvuZ42PPq+x/YblZcXJyhtUOWZqyXK+7v7vnq6++oa8Vnv/wVftjh//Pv/obtIQVl6oLve8ShMWUCKPKCXjfm2fPnfPLJJ6RpwuFwpNvtMRyOiaKorf9VVZNmGcvFgsD3GY8nxHHXDkgm4Pju7pYszej3egS+T5qmZHmOlIrNeksYBMZYR8NwMCCKIw6HhPv7BVmWm1dZOKAFZVWjhEN3NKM/mZmhTSq0UEhZmUHGHib2VTT0ekyOpaMlQqj232Tromuc8Tw/QDiujWYw50atFZU0iRxNxqzRlJsGKFQFgSiJeg7jfshw0DVxP55vmrqmgW6Hq+ZCApTR0lRZxnK1YrFYkmU5k8mU6WzGYDg0brJ1RZomJI8ca7XSOJ5gNp0ymUyIoti6AJ7O8na9oAVZVrJaLLh9d4fG4fziisF4ThBEyNq4TGsNURyjpPED2K43rJdLri7OqavabA9r49Jpr3IDYBlevKUwmtqaHg/st2sO2xVpliCEoD8cUFeV1f3Ck5unXD9/YWI2gsCCDxYQ1srWTJMvul1v2Kw39Ecz4o45AxzHaD9d9+c3LJ62GLp5C5v/Z/7ZIlzi0d/BnkOnrQFG36h59I/t1zdj3yk7sWGJ2ed+1OM1DW1ztpk/AkcZloTve0RxeOoXGxRMPIpWezSUml3AaeNvjEQKZFkgq5qhyHj2ZM7TJx69XoRURi5yd/uOly9fGjNAUfKwXDLfbAhfveb169dIWTOfz+jkJa/eLgxDQBvzPtcVoI2Lu6zNJm06HvJnf/5rPv3kObe3tyxXa56//ymT+YUdclXjEYTWso050nZo0xjA23N9yqJAKWWvZRN7kWQFf/8PX6HRJg6nMoyX2XzGp7/4hMlkxOdffMOr12+pa4kX2Agvpai1QzwY05uegeNh0gYaEPp0Bp7effv3BszEJhRopwUFtOMh/AjphnZYtLXSSjCUe3q/m6G+AT/rIqcqdjiDmrg7IBoM8TpdtGcikeqyIDsekWVBdzzAC0NLsdfWAXTHfrPmsF5y2O+oasn51ROm59f0x2aDmxWS5XLJMcnYHxMTIaPNWXV+fsaL917QG08Q9ntqpOm7q5KiLKiSHfvdht3ywWTM1hUX1zdMJjOGoxFZnqFFjdSaXn/AcDJHKs3yuzt22x0XZzNcx6VShmLbMoDAgL02C1IWKVWRGh1klpGlR477A0WW4ng+g+EIpTWT1Zooivjks0+ZnV+YrNpG8tLeVzZHviwpsoQiSUmOR8JoyNn5OXmWst/tGFg/lJ96/OSwWFel+Ybi0S/V3OiPUKgGlWqvpvZigMd28qcLsJn+9KkAtAWJHz8Pje2E+NH3bjou0UzjuhkE210Xp8h4U6QeUxo9z5pC2N9DYWhTdS2RtSZQBU96mkkvwENSFjV5YhqN5HhkPOojtWC52ra0jSLP6HVCfvOrD5lMRhRVzbvbW5Q02pFO5HM+HaKkYp9mKKUZD7o8f3rFfDoiSxNWyzWOF3JZS+qyMAdlXZnQcCV5WC559+YdSmuiOCaKY3q9Lp7nsVgs+f6778mzHNfxqKXJ8Koqg84OBn2mkwnJMcFQLo071THNeXv3wMa6AzquvYFrCa7HYHJOEPdR2qKRnnkvHPsWNotfxza0nuPgNUVcS6TW7SbEqMxNNlMTPF0rTVVLsqIiyUqyvKQoKypp6E6GtuqhAo+u0HixIA48OnFIFAW4rqCsJFlWkGU5MSZUFY2lV9UUWc7xeOC435MkCbKu6XRi5mdnzM/mBEHYFlIErWg/L6o2qDoKfN5/7wWz6QTHFe2AoJSmKA1iftwfyW3DqrQmCAJ6/QGu69Ht9xmOJ4RR1NxKLT0PZQi+juPQ6XZMDlljY26RPhwH2dCutaIsS7I0IU2OHPZ7jocDWinOz02unHl/aw7HhNF4xM3TGwZ2yG0GhgbVL8vKDIr7I/f39+z3By6vrplOZ/S6PUOBdT2MSdTPb7NochNpcwpPKLp1921r4KkxcSxoYga5RvNomxnXMiuUbQTUKQ9ONYOcENZl9fGBfGJeNPeTuS5Ea2iktcbktjc119S2FmFvV5IgULjCuniKE+1VCKgU5KVEVylPpw5no5DQy9BKsreOyg+373hydYkXRPwv/8vf8/CwZX62YzwaMBqN+ejTX/Kr3/w5b97d8T//27+lrGrAuPSdnU2ZTSftUNjpD/mTX/2Sjz/+iKqq+Prrb6iqiulsbgAo3QB3NktK1WyW99zf3RGFMcPxhG63RxTFZEXFq5cvqWVF4A+R0gBMzfeXdc2w36MTh6i65On1EwTw9u1bXr56TVFVNifOpajMlkC4PqOzS4LOgH2pAOfkCti8drRvXVNlEFrham30heZFt7RSI0FwvQDhBUjtUCqTrZiWkrJWlLWkliewsq5rpDZbhoFbEvYV81GH6bhD3IlwPePIV1emnjquQHvNlWevZWmcu5PdjuViye6wJ446PLl5znQ6I+p00EqTZBlJUZCXlalhRUlV2XiTuMfHH77PZDRqtbCtvYUFEsuyMHrsxZLkmBDGHT6+eU63P0Th4/iR/VlNBlmn0yMIfDxH832acjgkdkCwekyMRKH9TZQJoJa1pCxS0uTAYbdjv92QJHuUksSdDr3BgCAMKIsCqcD1Q25evMdoOsf1/BMTotl4y5q6yMiPe3bbNfe39yhcBuMJYbeHFsZl2mQE/vyGRSUfOZoCQgqEMOdPS19vEX3adu2Pq/6j/9m2a6Lp0n70yaL5v8eDo32CBmx+PJT+6CtF++Tt92i/+aM2sh1QnVP/2Q6PDfPNehQ8d5Z89MET+r01QtVkecrifsEP334PWnJ5ecF3b+64fVgyvlsQRz5nZzPGwyF+EHK/XON5X9vzXyAcn5ursXVJPVAUBXHc4Te//pirywm79ZrP/+H3pFnF1dUNrucZiizWnLEqybKEND1S5rmh/aJxsHm8wueH716x3W5RUhGGAWUtqWrJcr0jCgMGvQ5u1+FwODAej4nCkIf7B/7ub3/Har1rFzots87xmF5cEXSHxmBL6HZj++jF/l8fFAUm/xfTwwnbiyvXhNFLJ7D5s7LVkFZ1bd1pm4HY0lOl+T3cOmcQF0yGE9OjBKFZItQ1VVmS7HckR2PqGEURSoMqC8o8Jzvu2W+WHHcbqryg1+syPDdRTH7YoZY1aZKyWm95WCzZHRKqsrJnpKLX6fKbP/sNF5fnOJ6DEo7dJlZmYDtsOBy2HDcP7Hd7tFRGJnZ2yWAyN54YUR+NMPFmjkfcG9Dtj3Acl/X3jtEIes1iR7UXbAsuW01imSYU6ZY8PVJkCXmem2tCauJuj8FkRrc/IEsOdId9huMxF0+eEMYd6yXTACbKLmpqQ2E9HkgPe/N8ZcXV9Rlh3GG7WIMQTOfzEzD9H3j85LBYlEVbCR4by7SaG9GYywhz0TzS5bQ37OPv3wx5gh9pG0+F5I+KQkvLOjXvDZfdEcLQR+2F12Kd9u+maVPtoNmg8sIxImTfcwm8Rttmnru27oBaKkICplGN59QcDkdUnlKkR2RV8uRiiisEq+2B7XaLDlyGgy6z6YhuNyQKfaRSvHl9x6t3C4paEQUe792c8cuPnpKkKW9vl2jgvRdPefHsGiE0dw8r1qsNT25u8DwbsOmU1tHTGKj4rqDfjdjt9rx79cBmt8d1zfZxvdvz7Xcv2R9TNA5qe2S13rI/JnQ6ITdPnvDe86d8/sUX7Pd7BCCVZLVa8+rNOw5pjgAcWaMBKSHoDBnNLw1n/B8N9rZiixN92GlyMO2/qaaQWFqJ0BqlBVIJKmmGpKo25jpJWnBIM0PxqCVKYR3RXHPpSI2rIfZ9OqFP4HsoBFlekiYJ2+3WIGh+ZPV7hg6Spgm73Z40Sairygxwkwmj8Zj+YNDyyJWy28GisOYQxm1P2niV+dkFn376EVEcUpZFm7+XZxn7/Z7t9kCW5WilCIKQuNOh2zORAJ4f0O8P6Q+HhNZ51Pc8VOAbg4U8p6wqXM+n1+/ZQ662gn6F5/n2gDGGQUWesd2s2W3WJI/yyGazGYPhAEcIyrKgrEqKqmI4HjI/m7fmOKCpNAZQKE3OWpalbDYrFg9G3zo/P2c0ntqsSsyQ/0cg8s/lUdh8uX+s06ClazUf2zooHg+Sbf8CgNNu8CwC37oNqpZhoe0B3WwknaYGNpEzf5S52IBrpsE2KynzdTYTSzRUcIErbP6iA74DkSfwPQPkNPW10g5ZVSNKuBoJYs/S8sqMw37LdrVmPB5xdnHB/cOWu8WO9TahP5ry5OY5VzdPuXn2HsIN+Orrb7lfLGk0zJ045PnTa6bjAT/88AOiF/GrX33Gb//8N2ih+PwPX/DD9y+5vLxsXZyrMkeqGq0MyBKFITc3N3Q7Hba7Hev1ku+//wGpFHle8+bNG6qqZrlaU5UGFCnLGoGgG4V8+OF7+K7LV19/zdl8TlXVfP/DK169e0epNK4wAfJFYdyOg06fi5sXhi6aF7ieR6upFyYA6MR8aXLINI4WuICjNU7TwFr6EgiEHyOdiKwWHArJJi3YJzlZVrRBzLLR/gNOEBNFIX5XMh+EnI8jup0Q4XpUtTRUomNiAMNuH8c3FHzH5kJlScpquWS33aCk4vz8krPLKzoDQ+lqXEyLIuew35Okxja+KAuUrBGq5ubJJZ9+/JHJ55XVyaiirjgcDqxWa9brFUmSEochZ2cXXDy5ptsfkRc1WSEJI6uvDEKbLWr+yDJnt9ujNXR7faMnV1ULPDcxL9puALP0yHazYrdZkRyPqLoiiEKGozGD8ZgwisERJMcdwWZLGHeZzM/wgsj2AtoMnpZOVpcZ6WHLZrlgvVpRlBVnl5dM5hcEYReprWkLP8961xjemXp2AvZ/NBwKTqwHHn181APoH33ZqQd4PBC2w544tX/t9lsLGkdVGrCr/U7i9LEB+jU8sl7BnIXG0OuxdrHJoxXtfWueyfCMXK6jknE/QMuKIktZLxe8fvUageCXf/IrFIK/++JbwihkPBlxdj5nMh7hea5xj64kxzQzjAAticIOf/HPPiVJU778+juECPjg/Rd89un7FNmOVz+848svv+Hi+jm9QZ88T+3mEHP2lwVZejDxNElCkqSGnZTXrLd7jknNZrNnudriOA5SQZoVKGWWxGfzCR88v8bzQ/793/wNSiryLOf7717x+edfU1YS4bimjxHG/Mfvz7h6/gHa9amVtu9ls1Wkfd0fvdT/6KOwX9MwbJQbo9wYKTzjPSGlyVJNDKCdZ5lhD1itt4lGc/A9j2nX5/m8z+XZCNdzTE1UxtU9ORw47ncIx8Xv943RUVlQZBnJYU+yW5OlRzxHMHpyzWx+RtCfIIQwvU1hvCOWq7V93/Qpv1Brnj274de//jV+FJpNnNJURUZ23HJYP3BY35Ed91RK0u0NmJxdMZmeE3X71FLjOC6D+SVxp0+W5aRpitYOdW1YZcfDnqoscDzXbiwN3b6ZXUzeopkv8v2G7LilyBLKqkRKheOHjCdjhtMzol4fIRyKPDPxScMRca+H4/v2WtcNfQJVNxTWLcf9liJLKRXEnR7z8wtqqciyjF7PSKr2u91P1o2fHBaNiYMwG7ymMIjmhrUFXZlgcYQNthdNEbKNjr3h/xHVtEHBHw0bzTdo67N+9H2s2UejGTIiUWm2dlZ4rWpp/35yLQIeOayC67kETU6P7+P5JyE2aJQ0TVvsK3zPQVYlh/SALjNCTzAeD3CBsiy4X66RVcV4POTF82sur+Y4DlRVxetXt/zd77/ldnGgUoJO6DIdmZshy0KElnh+wNX5BEdIlsstd7f3COEwHo0Jw8Dk2TkOjqxxqhLH8fA9n6vLS6aTMULDy1dvuX9YUVQ1aVGxOSQkaWZoqFVNVhjrds/zuLq6YDabohHUUhlqoetye3fH3f09laxxXZe6Vihdo4XP/OKGyeVTpHUDFLbAGVdFfXo/hTD/JhToJlT3ZLRgNKPmWtAIZOOZDNRKIRVI82YZ4bzBrXAcx1rSe3RDh14EvcgjDgxtIs9LsjRls16b9XoY0pXGdQ0MrSs9HinyzERGdLsMhkOGIzO0CcdpN8NSSvIsJ0kMoiOVoULVtcR1BR998B4X5zNkZSghRVFw2B/YbrYcjgeUVPh+QNTr0ev26HQ7+L5ByDw/pNfvE0cxnmdCpfE0EJgw1bI0OYiBT6/XNTmQNjqjMblBWOvu5Mj93S377QaUwg88ppMJk+mUbr+P53pmyCwKDjYu4+LywiB2rtmONANwVZaGvpcaesJus6MsCmbzCwbDEUEYWSqWapb5J4rlz+hR1XWrt22DpR0LftiMMNFuywGMqYFq/tsW/+bh2CbJLIlchPBaNkT7f5oW/DKb8AZ8efw6m42TqqVhGNS10TPYoGyljF7RfE9hzQ1MJpkfBkRhQBx4uPi4lhrU/MhSG+vv2IeOp1F1TlGmFJkJO57NpwyGfTQOm+2eNC/xg4D3PnifP/nNb+j0+6AFf/+73/Fv/s2/IU0ykwEooNuJGI36xLFPJ/IZj3p8+OFzHBe++PxLvvziC+I45ubpNZ1OTJ4dDbJeFLiue9L2Oh5xt0NRlrx89Zovv/yG7fYI2iErJEmak6ZbCtsUCASh7/H0+orPPvmYu/t7aqmIu11jOPH9S9bbozlHdI1SNa5j3JdHZ5dMr65JK2ks27XGUQpV1WhTnX708EyfiitAaolHjaaGqqAqC2RVoXHQrk+hPapKcCwlSSEpytroJCtLccUYhjiejx9F9OKAixE8mQb0YwfXwRqYHVktV6RJQqfbM1mBskbVbutgvFqt2W53hEHI/Pqc2dkZYdy14fOneIv9fsN6vaCsK2pF6wgeRz6/+uUvmJ2dGTYJxoWyLDK2a2OQs9sfEDjM52dcXj5hMp0TRB3yrGCzWoMTMpld0hsM8byg3coKNNvDju1mTafboT/o06xuDWhs6K5aSsrC5C5uVgvW6xVlWRCEkWmcRmM6g4HVb3ooVZOmxnV8OpnS7ZrnFfb8kbY3qIqc9LhjvbjnsNuhEEznl1zePCfqDMHzcSwnWKn6tIX7WT1Mg+t57iPXcmj6tB8PhycwqxkMzGeeHqdtRvPvj/oCaHvApj7qR/9Pgd02qdaoTUnDLpCNY31VUpcFqiqQdWVQbNuTCsfF8Ty8ILSRMR3CMMIPTQZjk1NoNjqGohzHFQE1ZZqwXCy4ffcOPwz49LNfMhgO+Oqbb8jShPffe8YnH75gMhkYmYLW7JIjv//iWxbrHVILc7/EARcXM+7ubulELmfzMR+8d4nnwbu3b/j9H76mqhUffvwxjuOw2SyoqwKjDzR1JQojZrMpWbdD/faW/X7L6zcrXr15S5IZhlhpXYqzoiLLCpQW9DoR10/OubiYccxK4k7EfD6nrCr+9u+/4GG1RVvWi1SSqjLmfvNnHzN/8pysHcr1o/flHz/+EYSqMcua1uxNIP0Ojh+j7Tbft+kDjuviWZOzPEuMW7E0VO/A8xl1Qj64GvPhdUQcQFVXqMowHo6bDfvdFiUlw9ncgE1VSZFWpPsdyXGPqgq6vR6T2YzO+JwgjJA4NuOzJDkc2W42pFmOcD0DvAvjAO8HPp9++gnjybgd3oo847h9YLe8I9kuqaqcwPeYXrxgNj8n6k/wXVNL0/TIcDSmO5zh+SFe1KfTN3KkqkzIkwPr1QKtarMtbTS6YM1ySooipTzuyA478uOOIk8Nq9Px6A3HDOaXDEYTvKiDIxxjDmV15d1ez0qZ7IxlAWlZS/I0Yb/dcNytyawhjt8dMr+4JO50rBTDGORoIDkefrJq/HTOokVTnUdotOM47SpZ2IFMWTS4uYoasxPEjy+xxwNhgzw1AdKPt44tXavhnTcFpLV1rlCN7XVdouoaLWtkXaFtIWm43+a5LXXO0hn9wDcbFtcUGse6FzpCgGMK6Lzrcul3IJb4vksUxvTjCM9zKfOCze7Aw3KD0prnN0+4ub6k2w1QSrNYbfmb333J51+/Yp9W7W9eVUYYnWcFQoDnOuRZRp5lbDd7qqJkMp+ZBk1rsiwxNuf7YytSdl3fRIAA282W5XLL/f2C/TGlxqHWgqIy1rhVbahKQeBxcX5Gr98nzQsTxpoVbA9HjnnB737/BZvdwSK8Gsdz0NKlPz/nyUef0ZleIoURQKPMa22ExbpFDjWi3WooxwStuq5rB3ppi6JtjIVjtGDCQTgeruMSuQFuGBHFldGBSgMkuC4EroPvCrqeZhoreqHAFZKqqMjznPV6y267RQiIogitJIXdUhhql8T3fcLQDGy9ft8Uf7vWkdo4aRVFwfF4ZLvbk2cZUtm8R6UYj4Z8/NF7RKGLVpKqKFkt19zfP5BnKWEYMhwOGQyGxN2uCRX3DBW4KM2NHYaRcfhrIjyEMJx/beCXw/FIp9OlG8c0BdxxBFpqtJboWrHb7rh9+9rwzAc95vMLev2ByaALbBaZhXOKsmS32+OHIZPJ1IQVW2qCrCV5nrPf7Tns9xRFTl3VeL7HeDwhikJzf1qjizZa448Rx5/JQ0pDmTkZz9SnrRJYeiegacGphtYm7d8BaDZ7jmn+hc0adR23zfkUjtOyH5yGfqnM4dGAFif3VVPXZF0jyxJpTUvMfVjZn8WYg6CsQUjjSug39vUBURQQ+L7NarQaEgAU512NHASURY62urHBcMho0EUqTZ5XJMcjncjnvQ8+5C/+6s8ZjkfUteTlq+/4f/6//ifevntLrSSO49DvdZnORvS6EVHocTaf0ul1qMqc3//97/jqq6+Rdc3NzTVXl5f4nkOaHtltN2RJanNJUza7A0mSmk1lJ2a5WnP77h2r9R6Bh+fH5KUkyQwToa4kvie4OJvymz/5JePxiD988SVpXqCFw1fffsfvv/zamHZZc6cmn9SJBzz96DO87oBNUlIrWx6UoWhp3Sh1Gq6KAGUGRfOJJt4CXaDLlDLPTGMrPJRwqYVH7fgI36PTC+h0e4ZKDC1TxrWRUo4wWbI33YJhrHCF0V2lac79u1sWyxWu59HtDYxbqDK007KqSI4m72s8mTCbnTMcjwkiA1jVlTEAq+uSJDmwXCzYbFZ4QUAYddum//zsjM9+8TFhECDLDFUVHA9bVgsztCmlOT+74Oz8nMHAAErCcanKgt12xWpxz9nlU/r9vhnmLL2pGSSK3MRUDIcDE9uk7abKUuJlXZGnCdv1kvXygeSwJwhCLi4uGU4mdHt9Gxti/qA0da3IswxHQK/fM3RduwmtSmNMURYZx/2e/XZNlqbEnR7D8ZTOYEJnOAbH57F2q2k2f24Pr3FrbreB5t+bTYv50MRpaOsb0LhBnqaJ05LJGJ89Nux6TANt+j316AubrSWP+sBGEgQGuCjLgkJJirIgP+6pshRZFWD7D3vjmH7Ts9ExQWTO2TDCDwLDDrA6e19LfD+ie6bxZU56PLDdbOgPhrz44H0GozH77Y4ffniJ6zj84tNPmM0muK4xPKtrzd/9w+f8+999wf+fu/98kiRJ0zyxnxonzt2DJi/S1XSa7NzsYvdweys4uTsI/lUIBAsR4BMEOAGWzOxOT89Ms6KZlZkRGdS5cTNVxQdV84iaw9Z+OFlZmTaprIyIjHD3cDNTfd/nfUhedkg8PKFJ4uiw38+mQ87OjvE9h5ubO96++Zarq1t+8at/wieffkbTNhT5jqapaWVLlu2pq4oojBmkKVVZcHdr4q6++uqC2/sVSoTonognHCgbuq5FOILPfvARv/zlL2jbmj9+9bc4XkDZKP76r01sWyvtJMtxcBQ0aKJkxKc/+yUiTMxjOqYGOTSM5gqw9fhD+y8e/601WnUgTb0GDtqP0F4IrmleXNe4JXthRDIYwuLYREB0BoQRWhH6Pk8TeH6cMg43qKailA11WbLZbtmullRlxWA0wnNNxlBd5BRFTpXtQGtGszmTo2PidIT2AgPQyY6mqQ2rbLdjnxVILWzOrTxgF6PhkGfPn+F5ZhIoy5z16p7s7j1FtsNBMZwdc3L2lPToCb71CNGdmUpnWcGz5x/h+RGdzbAOwggvTNBtxH63IS8KgtDEWmiwrKDWaGmrjCLPqPdrqiKnqysUgjAdM1gcM50v8OORiXJzTB5qZ6m5ruMaDxLxKDpEStq6MOvc+pb9dktbVTieRzocMVwcM57OUdqwasIwPGQW7zbr7183vu8fRZ870Rc0GpTg4A4krTOZbGrDs+5pN4+ctQwDxBoBWDqBRhhqpe8fsnlwnAMN4eCmd2gWTSbeQfOoNbrrjFU5EqQ0hVPX8ZiqpTUIbfB/lC38lDYxDkqZiUHbHhpWoYXZMByHWoPTCSIXxlFMEjqEnsmXKquG+9WW3TZjPhny/OkpUeihpOb2dsXf/O0f+cNX79iWHa0Sh8y1oqy4vV9TFQVNK9G46M0ejabtWuI44mhuCvWmLrm6vuHD1Q2rTUaWFezzirpuiOOYVy9e8sknH/Orf/ov0MLh3Ztv+fVv/pb3lx+QWpPlOV2nSNOE87MzPv34FYvJmLXNYGw6ye8//5K7+yXfvnt/4E07jkfbaZww5OjZKyZnz+mEizy4MIh+ym03C0Ph7RHJ3vZd2qmIiRkwE5Detry3Xdd2EuLh4jkuoRD0Ji4GjFA4aCMgF5KEjjRscZHIpqFoTbOz2eyQnWRocyRd1zWAgjT6JT/wSYMByWBgJxYBQlir5c4U5X18yXptmm/PdfHD5DBRevL0jLOzY7TsqNqGu/s1H65uaduWyWTKfDFjMBjYmy/AcW2xIs3C7rquEac7Hppe+2SmsUKYTLSiKDg5PsL1/UPz4ghBpxX53mxsN9c3NFXFyckxT589ZWiNKvrJVm+RrJQiywryvGA6NSYPvdNv17aWw79itVqbyIIwYDAYcLQ4MtTaxiy2otfAqR5efmSw8yd07FZLDmCG7eR6QEspZQApa5igur5ZVA9rTf/5YyqpY/PHPM9anAd4toAxTWM/azHP1zeLyupUoUcJ++eT1gG1M3o5YYos7Zh7U1vwQ6uOrjGmDm1dUvk+eeYaapZr3IEds5PjeYKJ5xujr65BIIjihCg2kTNSVhT7Hfl+y0cfveRf/qv/npOzc3a7DTfX1/z6r/+G9+/eG0MKxyUIfEZjI5bvupZCtta1GS4v3nF5dU1RlBwt5hwdH6GU4urDB96/e8fFxQe61jAumrphtzfa6lcfveAXv/w50/mcomz5w+8+53/5f/1/KIqGKEpo2g1KdiSDiM8+ecV/98//Ka9ePCPb51xd37Itav7md3/k//n//l/Y56W93ySu69liyePFy0949ukPUY6PEtKi/saa/KHB/u7kxaxNNsNSm6DlrqtRdWUaFKURnosUAa4TILyQ0HMJHJfAFXiuwBUmNNx17LlE4KiOiJKJ3+DpmrZqKOqS5XLN8u6erlMMxxOSQYrje8aevpMmFFopptMZ4/kRg+EILwhRYCZrh8iJiizbsd1tyIucke/h+i5e4BPFMc+fP2M+m6OkceTLdxuury7ZZ3viJOXo+IT5/Ng0vI5DZw0U2ralyDNk1zEYDPB9z1KrHXqtrgN00uwHs9kMz/fp+uu+bazTacZqdcduswGtmS0WLI6OGE6muEGA02dVokEra1CSUxYZrufguIKmqVCqoqlK6jKjLnL22y15npmJzHDM4viU4XiKwlwHUnXmnrXsFqUNQP2ndhR5/l0gXj/62LKAlDLxaOZva77SG2j1d8BhGuxYuYiHF5hcYz8I8D0fz/cOjI2+QX3AG/t20zxePwE2AJnZf4zxSY1sKlvfgeP6OIZ2ZHO/bQ6j6+F4ASDomhbZGfDKNJQesapJJjCLY5yuoGoahuMxT549YzydUFUV7y8u+frr15w9fcqz50/xPUNFrquKP371nn/z73/NLm/AcXEQeI5gNEoRjtGCjoYpaZKw3e24uLjl8voe7Xi8+vhjHN+399IHNps1VV3T1g2l/TsKQ16+fMl/+y//R45OTvnD77/mX//r/xtv336wLC2om5YwCoiikNOTY/7Fv/hnHJ+c8vr1G65v7lmvd/yf/y//d969f09eND0XzIZiCBpcXr38mMXZOZ3us2J5YLM8Pi2Pj8fDYVub0bWoukS2rWmmhYfDg+b4YGqEsEMBByHig/4+EEYS9sTZkzoKVZfUsqatcrLtjvV2S1WW+EFg8gPjyERG1Q1tVRGEIcPxhOFsQRAnxqhHOGZA0NS0VUFd5oY1VRRU2iOIzevwHA/fczg+mnO0mCJkS1HsqVdX7NdruioniBNmiyNG5y9JRxMQpl0SsqHtTNyOF8YMp0dWaqLNtYYZBLluQlO3dEoyO1ownk1R2tQPqimpy5w231MVOW1VoLUmTAdEoymjyZxoNMXzPHD6WBhTezV1TV1Vh6mtUhJh692yKMm392yWS6pih9IQpwnD6ZzRZEqQTvGC0GjerWGS47goKdn/b6GhXn35+++MpfvsO92Pn7sG1bbWnMOirfYX6LPGen6Ciad4QCscxzGW216A8HyTteJ4JmBTiING8fFw0lDCzMJEEOCCQQFtAcUjBMwsPtr+nJ2IWorsA63Ms1Szh4sb4eEgcEVH5GlC3yEMfYLAxXFc2rrjbrnl9uaewIVXT0+YjSKy7ZZ3Fzd8/vW3fPP2iqxqUThGl4R53qJq+HC9oq4rgiCwRicazzOvJ00STk6OGQ5TmsZMxcIw4Be/+BknJ+fm+ZUkjCJOTs+YH53iBjGeHyKbhuevnvPXf/nvSZKE5XpDVpScnp5ydn5OFIa0Xcd6t6PrJHlZ8fU337LarI1jp9sXQoJaSkbpkGQyN/SuzQo3iHF71EbrQxGAcEyuoTCIrGPWcAsKmGZRKluoKIUWVjMhTRaSwrXW6ArXc3H73EahTfOOcQzzUURoAkeCrKnymqbMyLM9QkvGowHT+YzhsKdw2sw5zyOMY+IkJQytu91B96VppbSNYsNqvePt+w/c3N5zdnpM7Ad4vkeSxDx7+oQ4Cskzg2pluy1xaITvs9mMKI7xfd9Seh7svNu2pW1bXD/A8YLDe3bA6eyEtSwN7XU6m+J7rsm0kkYPud2syHZ79vsM33N5+uknnJ8/IU5ieotGo9W16KDWdJ2kKAqaugY0bVORF0abWVUmlHu72dC2HUmSMJ1OGQ2HBKGxEZdr8+9JOiSKjSFPr5Vr2/Z7F5V/jEe+61E1e26EmaI6GDqwkrZRtGHPwhaqB0T20bpziPp5ZIeuMaZOJvvTt4WNa2NRHkKnH8d3GH240Vdr21H2z2Mjs+3ubSOBeqDFWnOjDbNVWCDuIaKoZ8QqhILY84gdie8oQj8gDDx8z6VrG4p9xu3VB1CKVy9fMJtOuL+94evPf8+HDx+4vrmh6Qz4JBUIISmKivVmS1XlhibtOcxmY3zfJY5MSPdgkKCVYrfdkGc5SsHTpy84Ojri7PwJ8WBwsEVP04GhjUcpUTrkpz//C7pG8c0XX/Hq5UvevH2H0pKPXr3i+fNnTEYjVCdZbzZsdnuqpuPf/Ye/4eLmjsFgQF2UBvwS5j0ZjqacPn+FxKUucjAeV8aQy3UPdOFD5JO9d3uEXdkYJtF1yLZBtkbzLBU4jo8UHo0EiTY0fQUoQScxVvJC2WbR7AOh0PiexkOimpKsy8j2W7bbHI1gOpsyWyyI0xThuiZKRSkcx2M0HTEcTQ9aRoWwk2obVt1U1FVJkeeUZYnWmAmM6+N7HuPxkCdPzvEDl3y/Zbe55/7mmqaumc3mHJ2cMRpN8LwQHBeJts2eaZTb2lDCRpMZyiLeou8v7PXYdR2+7zOeTnBdl6ZtyLMdZb6jKQvKIqdpakajAZPpnMl0Rhgn5vnsuoptPo3RV02ebSnyzHxeV+T7DW1jc4d3G6oiN+YgccJgNGU4mRMPRuAGdHVD02Xg+ASOiQgSoo+B+tOjUSyv31umz4PfwwEhs2RhDv/vr/OHuDTs1/tIK/rvdgRu7eK4Pq4f4HnBIXfR7SmJB/33I9ocD9IirdXhY6UUWjgWIHDQSlqQ7HGD6iL6nEWnX0Odw/ZqahAL5rUls+SIga9pqwwvDJksjojThKqqubu94zd/9wf2WcVfPH9GFIVURcH9asO7t2/5j799zXpfIBwftMZ1BGkcEYcBn3/+mrvbG8bjlH2Ws92s8FyXF8+fk+U1g9TkiZoMSZfAj3n65CUvXrzE832Wd3fsdntevHzFT3/xTxmMp7z69M/48c/+jP/Hv/6/0jYtYRTzhz98zmQ64Wc/+ylaS4aDAdl+x831DZttxv1qx74oqaoaRW/ShjX5kYh0wuzkGRdv3+L6PoPxhCBODKvsQBsWh4/7c31QWBh9BLprkGWGyrd0dYXretR1jXYDOm1d0wUHOZKjBNqxTCnroqu0QuEh2KNUR6MyuqaiLHLyPKPrOuLU0Etni8UD4K01cRyRjMeMRhOcMEZYw0QDiBmtY9s2dJ2kLEtWqw01PgvfTJ7jOCaJE85OjkmjgHq/Jt+sqbdLVNuRjKaMT84ZL07xkqH5fZSlR7cVdZFRlyVHz17iBymVHW4Zpoh3uCXapqbtJK9ePTfSsrpG1iVtsaMuCroyN822F5KOh6STGfFojB9Ej5rEvvZStE1Fsd8aWilmMFAVBVqUVHnGbrOm2K1oW6PrnoynjKYz4sEAzw9BuDRti2okCIcg8HFcQ9lt/jN13fc2i34QPnzyqADSgO5aZOciHQfVNg+whHhEQbAXl7BfMwULfaWC7DrTAArHhF86ZiFweudF17U0OO+ARmCNJvrFTGALuV6782gz0T1tjgdR9AM71vy0+djOeoQAXBytiQJNEjhEHniuKRak0qzWG16/ecdqvWU2TpjOxtRlybfvLvjjV99SNNIE0gqBVB1KGvtn0GRFRdMaGud86hoa4XyC4wjyosIPI6aLOXE6IIwUT56c8+z5M86fPmc4mhh0xtIqNA5N2xgaYyvp6prlckme7TlezMmyPbuuA23MUGTXgRBs9xnbfcY+y+m6lraTNm9NGHMGrY3JSjogWy+5X24AwWA8Ybw4I0xHxnXJEXiOBQXseTJ0EoF2bVFqp5Wyaw8NI45AWiQEx0UqjeN0FiGxIb+uwO29BcyoGUcoPKfDUcY1qmsLuroicD2m0wmT+YJ0kIIQdgqk8TyfIIqJ0tTERTj95a6QrQ2sbluqsmG13PD+4gPXN3c4jkscRzhC47oOcRQySBLaumFXl7RNTRhFzAdDhgfdjN2wRH9zG4Mdo39s8F0bMM0D9cxsZua6yvKMIHAZDQcHzvl+t+fq8pL9dksUBZyeHnN0fMp4NjcLpwn5M9z3Xr9rXWyrsjJmO1rRVBWr1ZLM6iqrqqYsSxzH4WixYDKdECfGUVdpcDxDB7u9uTGaI9/Dc120NmL8qii+d1H5x3hEaWonsibmpZ8fOUKglEAoOy3EQTvY9c6uLkoZd9/HzaIt/A+mORYAcx+h4K7v4fqWPuV5h2iS79L2Huzpex12nz/aywH6Sry/roTQ1sXTmk044kCh7T2KlDZFe+y0jGKHQQCDwCMMAjzXQ8nWTLIvL7m9vgUFgeeyWy958/prvvz8j/Z3c2iajraVB7bBfp9h3JYdHKE5mk94PnjC0WJK27VUVc14MuH45JjpdE5odbx+4BNFCWEUIVzPMCCamjLP2KyW+GHB2OCUZHmGli1Pz09IIkP1PT46RmnFfrOik3C3XJFXDdpxWe92xtxFaUPTFQakcv2AZDimqkq++vz3aNcjSkaEyRAvSnDdAOk2uK73AH5iwE8TmyGNG6pskF1lchF72rB2UApkq1BlTSeUafGFwBUCz7WO3K5raMtC4QoNrkTToGlomhJZ7qiLHN93GU8mjKdTBuMJXhAgLTXQ9Yy2MxmYaB7XCwAsK6ezjaLRRhdlzna7pWlbBsMhw9HYoPKOIEkiksSnrvbs8h3L2xvQcHp2xtHJKenQMhmsvtZoaA3DqK5K2q5lMp8Z2hmuMeEQ+lAXSGUYHGEUMujzyMqc9fKOqsgIfOMafZQaen0UJYaB5Dh2wt8e1jmpJJ00CP/d3Q3b3YowCNjt1rR1SV3VlEWBbFp83zcW97MFcTrC9SOz9nYtZb6naiSuF5iCCqxRyv//Ics/9iMZDpF2iqtkZ1hASjziGdraCHpuKkI7B8Cq35jtP9nDrI/YRq0PMBdKGDMCDdoF7Whz7x2M8JyD1MHtm8hD/Jmh3HWtcYM3DAsTl+bY7+ubxp7R8eC0auoPpbSNVtN4dJzOUly9o1U1SZoSxjF1XbPe7Pjdb3/PH7/4hjRNOTs5oq4K3r55w5dfvWGz3VnTPUOn7RshPwi4W664+nCBQPGD4JyqMs3hs2fPaeqG+03BZDLCES5pMuRHP/4Zo/GUyWSGHxi5x/Pnnxi39jzj9uoS2XV4XsAgSRBC8/79ez774Q+J45CuqRFoqqqkrSvatuP25pa8rCmqxsQAHc6NndpaqvdgNKVsGpZffk7bmcnq8ZMXDCZjtOMf6utDQ96fXm3Bf6lANbhtiS7XUO0MrdTTVFVFh4tssdTfB4d8x30MFJjrpVEtvuvQOnd0oaBSGW3bUFU1OB6zxYjxfM5oNMILAtPwdh1+GJEOUuLRGM8PDwMmpaWlnVe0dWVYFHXNZrPlfrnETcYEgU8YmgiiJImZTkbQNeTbPdV+h8ZhPD9ieHLOYDo38W62btNK0jUVXbGnzPYopRhN5gYU611e+1vIgsl5lqEdwcnZiakJm4qmymnLgraxlNNkQDKeko6n+FGKY9k/PVhjmJwdTVWyXy1Z3t6Q7fcEYUCR7ZFNbSi32Z6mrvECj8l8znRxRDIa49nfAaBtJZv1CiE85kcnhu1G7y3y/Yyx720WFx99dqDh9dyBvumTXWdGvWVpT0yD6iQoie4vNvvLPjid6sONLBCmGfQ8ay1uxP3CIu3G1twxF52wCN8jipimbwglwlGHeIoDudtOM3sznZ7wdUD96RtH0beNBlFB4OuWcewxilw83aA6TdV15HnFt28veHtxRb4viMKA1XpHvs+4uLgk8D2OTk54f3VnFuJO4ggz9tZCsC8a0DWRL3iexjx9esbJ0Yy2bVlv9iSj8SFmwXNhOp1ZVzaoqxI/iM3rdjR107LbZwjXI4pTlrd3/O5v/5bddmeC1duOoijZbfe4rksUx2gEy+Wasm5tMSuNnS8WObRnKIpTRuMJRZGzWm0RSPLNgCrbk4xn4AXgONYl0z004I4QuK5LGIZEgW/NVDTShpl2ndGEKWlowF4nEa5vCmTXTG5dz8Nzzfk2jqoKV0sCpwG3QTk1na5xtCJJE8ajIZPphGgwRANN04AG13UJwpAwTgmi2DTZmGa4kybqojd3ubtf8f79B66vb3GEw8nxnDRNqJuOrussRUlS1xWeJwgig0zFSUIQ+N+5pnoEruuUff931Db/SGmFcwAx6IlUKCkpi5xhmhDHIW3bst9vub66oshzpvM5J6cnTKYzIouwK+uuqSxNsa7rwzSyaVu22y3b7ZY8L/EcQ1VwXcdQ6xyXJE2YzuZMpxOiOLbFmNUzSjOV3GzWFtAxG4cLqLal+BNsFs+ePTdFSWepUJ2hQilpog1UJ9FaHijxPcIKGAqn6LflB2c+U8SYYqjXKrquax1pbbHkGXt095G5To/tawveaN07qVqN+CFXUdoFXh8uvL45NM8pDpPuh3vUfFMjNY6oGPmSWewwCAWRb8AarRSb1ZoPFx9Y3t6z3WZIJbi7ucZxYb26I44C0uEItcwsEGTc7QxYocjzklJAmhi97LNnTxmPB+z3O5JEMj86YjgaEaVm4t87eTZNhRDgWqBSWD1gtl0j1QrPccn2OW++/oqualmt1mS7PcJSi5q2NUCj43N7t2RfFEhtNG2u64HjEEaRkSgIhyCKEa7L3c0NRdOhhSBJhwwmc0azY4J4SKcemBR2GIKDmSx4jo0KQhJo4/RnqHQSKVyU1Mi6pe0KWu0eKPyuELg2vslzXaNDdz08R4AvKVVF4ZXQFrhtY4DE8YTRdE6cmImiKV4VQniEcUI6mBLEA1NsIA7Xh7I6xaau2O933Nxcc3VzjVKa8WTCYDBku88oi4KmaaiKgs3qnrYqSdOU05MzprM5UZzgWCmGMYwxxZlsjL17XRoqVZqOLIr92KzOTpAsWyKOIsLIGD6YfETJcGjyNuPhiDAyxjWHKsK6VStp6g7TKHZUVcnt9RXv374hzzNGwyFCKXLfRysIgpDxbM5oPGUwmhBGCcL10VrQtUaTWGR7dvucdDgmGY4B1zJjlJUy/Gkdx+fPrCbaAK+tpRAfqKdwoJz2dFUOFNSHnvJ/ddhprHC8A2PC8YzEpAdTXesJYZqHB8dn57B/2lxkC4gZ+RFWl+hikLpH08m+UTy8MvpSFY3AcbRlw0kGkcvpNEWoJb6j8Xwf2bVstzt+//nX/M3f/p7dPuPp8+d4nsO7t2+5vLxgPEp48eIpv/3qiovLK4yvqqkdm1azXG3pmprxKDWT+fMzxqOEIIx58/oNZ09ekaQjiqqi6zpjdBfHtjEqQUAYxAwGA4QjWN1fsb6/IhkM6dqO2+tb7u/veFE8x3UdsixjtVzStTWOI6jrjizLTfSbUijRJ4o/nCUNeL7PcDqnUQLhOiBhv1mjlGJWLvCixMR16Yf3sAccHR5qZRdFpBv8LsfpGnNOhIvCQSptmGN2ci10jz08BiDMeVJdjvYddLhBaZdaFUil8YKAyXjMdDolTFNcp3cRlUZfHaeGAu+Hto61dVDb0tYmTqOpK8qiZL1ccXd7R13XLI4GjCczamXMjgzLTFEXGagS13VIFufMjk7xh2OjhxbGo0VJhaoyynxPt7+n2JdIZaRF8rtX32EYBprddk0ySBlPRsimpmsqZF0iZYfnuriDCcPhmGAwxgsCO03sz52V/qmOuirY3t9x+f49Nx8uyfOC4XBgBjZC0HUNjuMwGAyYHB0zm80JkxTheQ89m1R0Tc3F27dM5kecnj8xdYldl/uc2//U8b3Nou61GvbPITIDgaMVbhThxQl+2xpKoerQnYWRHo20DejUTwXtWLoXQ/ePLx7Qod758dAkPjoRPTWJvmCSFjmV3YFj/zAzt02g4CCePtxCQjx61J5O4SCUJHYkJ+MBk8iFtmWzL9jtdhSFEeZ3UlJUDattxt39ltOjMU+enBElMVUr+d0X35CXNQhD5wp817gYtYaSORkOePniKaenRwS+R1VVOK7HdDonCKPDteZ4Ho5waJuGpmlxvZowjgnDCNdx8F2Xuqkpmpqby/cs7+4MWhbFpGlKkmSmMKyN2U1Rt9wtVwjHJYpTpOfhuC21vXgN59pjsjhldv6SvJHoYGApK44pfoRLGCd4YUgQhBZoN3oqB22KH0/gOgpH2PMkW7q2MlpI10MqjbBFpeN21rGsj1txrEGI0Z54QhM6ijCQaL8Fp8HzYZAOmE7HjEcDwjhGWZcoMBuLH5hGMYwTXNe3N54pOJraNDy77ZabmzsuLq9Yr40t9dF8ynQyQoDRiWYFbdfRNCZzNIoi4igiCIND5pmwj21MecxVVxQl6/WazWaNcDxTdGhxuO7MOTaUwbataeuKyXiAI2C327K+v6frWk7Ozjg7f2IWR68P1e3pkOZ6N3mLBV3XoKViv8/59tt3vHt7aZtEQ330PQfXM+d+Np8zmU4Jw/AwydLKFH9lWbDb7SmrBmNrbv7doFPiT9L0oSwNlcYAC74FpvUhYFlZcxApH977A/W0p/qIfr1xDBBmixnDiuip8A+oODwygaC/HmwDqh/oYT2l+fHH2k6T+zylfsXr1zpjq/7djDgzDNVou6kLJZlGDvPEI3TMhKxtGva7He/fvWN1v6StO+pG0klJlmXM25bjk2NOTk9whMf95muUtJRvIQyrwrVIJYo0mfD06TmDQYqUkmyfEScpSWLiYWTX0rnuoVnsNzZXdri+ievxfLPWZNme3fqet99esLxfMh1NLWhW0LWtob25LmHk0dYNd6s1eVnT4Bhajh8QBAG+75tzqwV+ZEPutcDzfPPau5r96tYWtb4xidDaam7MPey6DrgujnXv7Pc0VwukBYM8P6T1I2NwIzWtjeExWkh9yL48FNBegO+5uEFnm8UCT0jGiaHhjqYTwiTFdRya2lCttBCEUUwUD/DDFMcNEBYcUlZf29QVRWFcVC8uLrj4cEme50znM6IwQAhYrZYsV0uKLCPPMtqmYTwec3J8wmg0xfNDe83qA4tHyZa2ytnbDLS6qum0RxCGOK6Dsp31YViFg5QdVVkwGg6IowiEIAxD5osjs7YmAxyr+TYXrb0XLFgirR1/1xnd0Hqz5vU3X5l4FmFo46Ef4Douw9GE8WROMhgTxSmeb2QUvf+ByYCT5FnGZrVmcVYhHHHQE3dNR11X/8XWnP9ax2a9NDmSvk+UpKSD0WENMvReUzy2dqrXdqa+k1r2xdMDQHr4uUfg+6O4mcd6RcOaEA9mgochAoe17UBB7Qv0npraA3QcSoWHIYR4VMc9+n/fqTiY6KLFKGaaeAjZ4DlmjdpnBb//wxf85u//yC6rGI9GjEcDLt5foFTHxx+/4uj4mE5KfvvVJShpG1t9mFz2kWLGH+KY4+MFvufw7uKGvKj4+YuPcIMYpysJQ+PGWdf1QRuqlEIlCpEOiNMUjWS9umd1/4HtZsv93d3Bh6BrjRNqke8Ngwqo6tZmaXv4QYR0WusLofoxl7nP4pTBdIGfDEhiQaI72qqiKQu2d7eMT84Iw8gYFNqBznf0psJorD0UoXTwmxZo6fBxwxDHD3F6A79DXdjXR6b5UfrhWglURYJLQIOQRu7hByHj+YzRbGEYJrbe0Z20TXVEnKRGwub08VSGYt/WtckmzHPyPLf+EzdkeU6SpBwfH5MOhuzvl+y2WzMsyHOqqiBOI0bjIenilDBJjEkP/WMbr5Bud0+2WdPka8pSItzY7ln9EMpcdkorO4lX7HYbFrMpvu+ZaKjWZKe7QWRyZwezA5PmcU+iwcTMSWnOz2rJ+2/f8Ob1W9brzSGRIAp8/MAnjCKm8znzxZxkNDG54W7PbrK1newospy3374hGY6t0aLJQG/qkq77/rrue5tF2TbGgcfzENrFIDo9jxRL4/ERNrupb9762/UB3ejfyIcJ40Mz2X/48CaZZlAACtX1NvM997xHSx/MHrRUaNU9ukHMc/Y6E0NfddDOA5KF0+vGHtAoAEd1TBPBk1nMMNS0nWa73XF7c8tgkPLs6QlVXVOXBa6jGYwSzp+eEoYunVL8/ou3XN1vUcLDcTxczzkI/TvZEXia50+PefX8DAfF/f2SDx9uGU1mjCZTfM8/xCUYPYy03GtFXpR4QciTp88ZTaaE0cCc7K7l/bsLiqpC4bBab9lnOWVZI/WOfZ4jpWab5VzfrsDxGQwSZNeSZ3uTbaY1UitcL2ByfM7w+Al+J/AnJXVZUu73RsuGIB6O8ZP0oNHzHEPV9R1N4BrkyVGdfW0dhVDIzsMNXIIwtRSFXsdgnZzQBwrgYXoi7WQBiacVgSNJI4fZKGE6HTMcmbB4LVxkaxyiVCdNYxSGxpXKC9DCoOyOcOjaivVyydXVFTe3t9zfLWmalkESMxwOGAwSXEdQ1TW3yzW7fQ5aEAUhcRwRhyGeb4oJ/Z0NTh+Qzqosub6+Znm/pMxzwtgUyuaq7LUaBxGAoZrJhjSJ6dqapmlxXJezJ084Ojoyep0+L6pHeZWdflnXr6osTFZd3fD2/SV//ONX3C9XpEnEYm7Md3oDoDiJGQyMPrH/PcxEqD3kIpVlcbDZf8AEbXPb1N+7qPxjPPa7PZ7v4wWBCeMOfHw/wI9DQkcYF7LeqbQvaGRPe1cPDd3h/D4UT/S65cOzPVRYSj1uBJUZVj5+PP2w0fbTxR74oM+RfYTePnYhNOwyC+455vk6ZWiQUmkiJIvUZRJqRFvTqJaiarm5uibf75mMR6jUTAlF5zAYDRhNJoRJjOwUNzd33N4t6ZTEt9boYeDjOYK27XAcwfHxnPlsQte2bDYrbm7vePXRiDCKD2J9x3kwQQGBrszkyHE9oiQi8AOG4zF+GIES3N+vKPKK2dihrhu2u8zoroOQNIkRrsc+N9FGRStJhgMSCVXT4LgefhAaKqiGMEmJB2O8JCFMhwyGKfv1ivdv3yK8gOnRGU4QAWYd76MGXNfBFRC4gsCFUCh81SJaha5dNCH+cEwYj2kJCZSg7hRNaybWD5Q+yy6wdCNXgVAdnm7wHcUojTmaD816nw4QwqGtjO6wriqCKCGIUsJ4iOtHh+JbK4MU12XOanXPzdUHLi4/sF6vqZuGMPQZ2oiefL/n4uKS7Wpr4paK8uA+OhnPcLzQnJ9Do6gPtKj7uxvub2+pK2Mc5IUDUyxZ4KCzYdy9/q+pDTA2Gg2JosjQ/JOUKEmsW6//oJd6DPrae0opbcHTirLKefv2W7788jWbzYbRMMV1PQaDIYsj4/oXJ0MTmu36YCff/UObQrBjv91yd3fDebY3DbznHBxms2z3X2bB+a94tLU1JJTG50GEAYEf4Pm+zTR+cKbtus7+6U1u7Dl51CT2a5CZ4T1Mjx4mU7bWszmwD03lAxvnYf387tSy9xbo18L+B/rXaPiVDyCtyc/TjzR3JpdYOILzaULi1AipcByfsm74+uvXvH33jqdPTvnlr/6My/eXFPs1Ug549eols9kEhMv11RWr5QaboGsaJ+cB+HOdjrPTBbPZhK7rWC23fPX1t7x6+TGzxYkFms3PdW1Lnmc2RsszZlhSGvnLYMhgPCNIhpS7DfdLM6TwvQClYbvLaJqWum6QrZH3VE1H3UpaXKbH55Rtw93NNaK28ixAC4/BZEEynhKEsQHNHEGR7bnZbthlO4ZHJ6SDIdLzDw29eNQoGjBG46oWrxG4NCjVgohwogFuFOE4/mHaJx7VODzaz4xxoWDsKEahQ+yB60DgR8bZdLHAj2NzjqUxWEIpPD8gjGMczzM1nTaZ6LI1zU5Z5JR5Rr7fs9ps2Wy3NE1DOhgQJYZu37QNFxfvWa9XJk1BSaIwZHJ8wnA8xIlMfQpmDe3aFlkag7dq9YH9botqG5pWIFzT7JvrDbsJW3NONKotKfMd09EQZY1AtcYMWpIJUZLi+pYiaguExwaPqmupq4L96p6bywvevHnLxeU1dd3g+w6jscTxXEaTKfOjI8azGVGSHMBuw+zQVq/e0TYVdze3XF1e8eqTH4E2jaJsG2v89f1mXt/bLFZ5bukEDzSCgzYL8UgQa98oO6HoDxOtIR595VHhY0nVPSrbU/MAi9SIB0qC7lEcZT9XB3qN6JF19VC0HVzrhDGIwFJSDxoj4SCEQuD0FZ1pbJUmcBRnk5ij1EPIDCVbEDAappycLBiNRmgtKfMNke9x/uSI8dQ0bbus4Opuza7swDUi6H6qIAyez8lszM9/9AnTUczd7R1fv77g7n7Nz//JgsFgRNvWFFlG27VGy0k/1RasVyveXVxxc7viV//kz5kv5gghaIWgKEuyvCQvGr744iujlWuMJiUIIxSC7T4nr2r8OGV2coZAc315wX63M7l7SuGHIYPJDDdM8EOPyItACza3N2TrewSS6WIOxAeEHDsN9HzHNosdjjXhUI5LWxl3qCBOGU6ODJKPsLofg3wopWzgtKECmk1dWa0ihD6MEp/5yGM+TkkHCa7noREHK+G2NiGoQRgRBMbKur8+NYI8z7h8/573796z3W7oOslkMmE2HROFvmm6qoYiL9mXNR+u7smzwhjAjEckUYiVzdoF0OQwaixVBlMkv333nov3lziOIAoCTK9hrtt+OxRCHzj4ZZHjCGHiPDCB5IPhiNF4Qpwm5jn6qZPGTjENiNC2DVWZG/1CU7PfZVy8v+T29o66bhkNEqazKedPnzCZTgjCwE4Sez2vAWeUUrStsayuy5IiLyirhs16ydn5Ca4X0jQ1u92WbP+nV0AFcWQWz66zJj4ejdcY2qjVT/e0UuHaTDwfDk1c7y542B8fhUf3lNXHuBkPBdJjB1vVPbih9g6Fh032H4AMhz+ip74aAExJB0coo0UWlqZqGRZGcy5AS4YhnI4CErdDNhVd21DmDZ7r8urVSyaTCcvbWzbrDWGS8uz5c8aTGUrAar/i62++5eZuiesYyncchURhAFpS1w1h6PH0yQlCaFbLO+5ubsmyHD+I8PyQ/X7HbrszsS+eoevjOIdpz363Zzgacf7kCclgyGAYoZSmLGu01tR1y9XVLXfLDUprOq2JQp9J2bDOSq6XG7Tj8uKTT0mThN/97vdstxu0XSfcICQZTzh68oRoNCadTAgDj8pOy7pO43yiiIcJWnj41vDK91x8R+CgCIQicRWRkPhKUxcOtQMiDEknU5xkSic8pIZWQtMaI4G2VXQ2o6zfE4UwhdMo7JjEglkacjT1mU6HhEkMjmvNXPZkux3CdY173nCMFxoTKmkB1KYqyHZr7q6vuLm5ZrPZIIAXz58BUDUVcZogpWS13PDh8oOhrNuIocl4wiBN7ZSgBytM4dG1LVWecX93xdXlO/J9ZozEwsgUV5bOHXgczL76IqquK7SWpGmC77nGHM0WS+7B3c9O1wWmOemngNJMSeu6pq5Ldrsd79+bnGGlFLNpwGJxzNn5U8bTOWFotJvCFq/mHrK3olKgOuqy4Pbmhsu371kcnfH0xStSx6FrG/abFdvl8r/IevNf8xiNR486MtN8KynxZGfvwz5aA6ujdvC8h2v1gd1g4rN65/nHewrw0DDCw3SDHvB6/DccXpB+VDAr9VDzPWKMiX49dHozPA5NomGy9XWoWWyFkoSe4GwWkziGrte0DZcX72jqnP/Dv/rfc3p+znqz4avPPydNYz7+5BWTifGTqKqOr7/5lvVqawYAwuoVPYfAN7XwKIn45KPnRHHEzc0tX335mpv7jH/6z57guj5VXVFVFUW+Z7Ne4fo+z589x3MD6rrm7vY9d/ENx6dnzI9OiOIEbzhBuD5t2+AFIde3d9zeLkmSmCIvDJXR82g7xd1yzaao+dlPfoUfp+R/89cUH96glNVVeyGj+Ql+lOKFIV4UE/tGw93UFc1+axtWh84xtfOBEdA3QkJYNoShEWPjoBw/wgljXL+/1x6kFIc96hE45soOTwjGQjMONaGVZgxGI8bzBX4UG3BKSWRtaNKOZxgLrh+AzUhUXWd0iWVBsd+R7XdkmYmiaCSMRhPGkwW7oqaVUNUly9WS119/TV0V+I7DbDZlcXJMOhobWisPBp6yrWmKjHJ1yWa9pN6taOoKzxrq9CY6h1/TXoH9sKrM98i2YjCLDMVTm4Y3iBP8eITj+vT6UG3XJ40+xM3V+Zbl3R3b+2vubm9ZrzfkRWX0ty5Ecczi5JTTszPS0Qg/MOZx/f3QZ5dK1ZnacLPlqy+/ZrPasry7pypL8Fq6uqLItwejz//U8f2TRWkcLLvuUebYgZL6Xec+48H7+KfFd9Gg/sLrL6J+BcEiU/33Y6cYlj6Ay0F7aIpk52GKqVwDn/PY9KFfIx6QrR7VdHpaa68N6lEux8Fs/R1J4LIYRgjVUDYlbWMK7qOZQULrtqXrWo4WY06PFywWY4RrmoTtPme53tFJs/E7j1wKhdYEnsP56RFHR1NjlPPtBe8ub9E4DEcTPN80LLd3d9ze3JMOUiaTsRm7ey6+H/Lh6pa//PXv+I9/8zt+9cuf8fLZU9qm5fU3r03jpTXrzY6maZjOZpw/OSMMA7ZZxfXdCqUF09mc81c/IIh8nDDhfrmky/doIEkHTGYLwijGFR5+GOI7HfdCkm/u8VyBVp8YPaJrdDdB4BL5LpFtFukUdNrSDzq0bFCyJfB9kiQG4dK2JrZC6UfaCCXpJcLCOuc6WuEhGYUu81HIfBIyHMQ4vmenYR1FWVEUFcJ1idIBYZSaG9+6KQmtyXZb3rz+hrubG+NS9uwJ6XBo4y4CyiLn9vaO1XrHeldwv9lzc7ciL0qenp9xfn5CHAco1YEwCLexq5D0cSFVWfPhwxWXl1fEccST83PCwGO3z2nbGldohFBoepdMTScbqiJHoAkCn8APcX2fOEkNJdk2Ij1dBa2t6N/Q0EpLpy3yDCUVWZazXm8py4owDHn+4hk/+OwHHJ0cGXqY49jiq7OFpbln2ralrhrquma13nJ7e88uK1H6NyglWRzNKPKM+9trk/P3J3Y0ZXlAP3uhurDUKWHzWT1LjxOHWAz3sMbQr0kY7W4/MfrONFE8Wvse/RxaW3txM5FxpDjQr0S/gcDD+toDbjzSEfWFkwWnvrtVP/rcGlAEQnI89DgaOHi6MZQzqXFcl8XxEbP5HEc4vH93QZymPH3xksXxCV4YU9cNq9Wam5tbS4/3CALP0O1tjEcc+5wczZgMB+w3a7brNdv9Hs+PSJIhjutTFDXv371HCM1gkDIYDK0RlUtRFLz59h23t0sWR8d88sknPH16ju/5bDZb3CCk6hQXN3fs9zlpmiC8gHg0Jp5Meb/ck5UVfpTy6pOP+fQHn9Ei+A//7t/StQ0CCJMB86Njjs/PcaMYHMc4ae52NMXe5ixKgiCg0wLH+y4ly7TdBin3HImHpGorVF3gREMCz0V7HuDiC0EUOkjp07S+0UNLw6CQyoAFjhAMfcU8hpOhy+kkZjoOCCMT9VNXBfvNms1qjUYwOzolHRhnUpMXWaPbhizbsry7ZX1/x263Q2vNkyfnzBYLBgOjG/323bfGPbT0uF8u2a73aKUYpBEfvXzG0XxqzJ2kKXIE0ElFU5fkuy33tzeslrcUeYEfBMznc+IkYbnOqeqKrm1xPWn2WVu7a9UZAwbPs7R632insMAJjzRyh8LJZi/Klto28bvtGqVayrIkywrKpiMOA46Ojnn69AXT+TFBGFvt6gMVW2MdGO373TYNm+WSu9s7lss1X/zhDxwdH3H+/AV1VbO8v2W/+/6g6n+MR57lj5mb36WPWnDMeAe4B4de8Q8HAfYHD36Fj1Y78Xit69cdux4+bjB51GSah3uYSjpCWBqdKS2Vdh50k+KRCUsvU+q7GvHwp+9xPCSzNGaWOESiRgN3d3dkecEvfvkrTs5Oqeuam+trdtstf/FP/5zZbGzBiY43b6744x+/Mno630doB8/rmQbGl+HoyDAo9vuc6+sl9/dbXC9hNFmglCLL91y+fc393a0BbT76xJiLCEHTNLz+6ktubu+JwogXH3/Kj3/8IwaDIW+/fUvTtHRS8+2bd2y3O9LEMAKSOGU4HvPtxTX3yxVeNOHo/DnRZMFHjeb3q1tkvsdVEj8ZMTo6xY9ivDAiiCLCwKfIchN7Yx36Xd8Da2ak7TQfLaxG1DjeC5TNJHfQjovwAhw/sMCSYxt3c1oP14AAm++Ej8AXilRIBp7xuEgHQ4azGWEcmxPetZR5Tpnt8P2AQTrACyLrTq2M/q4sKPKMfLthv9tSFgWtVERxytH8mDQdGA37zT1X1zfcvHvLze0d6+USoTTjyYBPP/2EyWyK4/oWnDLDKdVW1Pma3fKabPWBsshppSJOEoazU6qiYbPaUNcVroCWx6aeILQi360IXAP+G3NPj8CPCOLBgUFhhlcPk3mtJLpryLZb7j+8Zb1c0qn24frWCkc4DIYpL16+4Omrl2Ytdb0HWi4P95Qx5anJtjvevn7Nm9dvaeqO99++5c1XXzGeT9BK0bY1nv9d2co/PL7fDTWKHp1oewPa4qS3sO1LkUP3118gBw0aB155L0bu/0E8GuP3i9IDp/2B386j59FwCHnXB+3Wg7GNUv0i9ECZEIJHlssPk8T+13KF07eWTNKQOBAm1LLYEHqa4XBAEoeUVc2btxdcXFxydjzl+HiO4wqqumK3L7i6XrLPK3rLQdG/JVIhtcb1XJSGD1d37Hcbbu82uK7H0+fPePL0yWGUXVct+/2e8WTMdDYnHQxACMIg4vz8jC/fXPBX/+Gv+cNvf8fp8YI4iqmqmigMqNuOqjKv4fzJGc+fPaGTHUV9S1EUdEozGE1JJwuCKGL+RBF/+SXb5R2u6zGen5BO5nhBgEDgag9vOCZKBjRtR9sp4nRIOhyBY/SYse8QeuC74GlrCKJaHAFStci2QrXGwcv1PMDknD0euWsebQKOpZdoUxAnPkwGIdNhRJqE5n1Uiqqs2W437HZ7hOszXxyTJAODPuEc6IK79ZK3b9+x322Zz2csFjOSJDkErCrZ0XkuUirWmz13m4zVNqesGoQDH338guPjGb0uyWASxopaa1PYF0XJzc0t6/WW45Njnj9/wXg0MNPKuqHM9qA66/Lab6DG9r2pS0vDMNxzLzBZjYIH2lffMMpO0rU1VVmS7besVyuy/Q6tFb7nW9RVEQQeH796wS9/+XPOn5wfTFa+Q3OwjWLXmSKuqirWmx3fvH7L23dXtFKx2WzJ9ltevXjCcBDjOoLAD753UfnHeAi7/vTAoEFVLUPBBlPTtWANL3rgrKd+HqIVAIVt3PoNRHAwcDDr6ENx1JPhD8ehEeQf0Hj4zr3SG9z0kSl9ASYs6u04tpASPUpsfzc7Wok8zWLok3oK2VS0yjAE0mHCeDRiMBhyc3PL1YcbZvM558+eEcTGAKEoCm7vlxRlZfTBAhyh7KTb7PVJHJCmiUHUi4ymafA8n9F4wnA8JowSknSA5wcUeU4YKsIoZjge4fsBcZpye7/jL//j7/j//uXfMRz8JWdnxxzPZ3y4vEa4AY2UdFWNAk7Oz/jJz37C4vgYLTy+vrgDx2U8mTJIDYr75Okz0uGIbL2iU5IwSXj64gUnT85oOkVeVjSlWTM8G7ETJzGz+YSykQgM9dRzTKNoIjC0kUJgXK67qqApMzwvNFmXTo0Unj0ffZ6fenSezc7jCIfAUaSeZJEITsc+s4FLFHoINHWZsVquWd0v6aRmfnxGPJoaV0+t6OrC6Ac3K+5ur9luNmhtpkiT6YzxZEKcmNzYsizY7/as1huCKDHgUmWmtc+fPuVnP/kpaTpAys64j6oGbU0Wdtstq+U92W6Hkh3T2YzpbM5svkBrzS6/oCxzcx9oy8KwIwqtFF3XGLpyFB10u2ajNPT6PpP5YOYkJbJrKPM9q+Udy/t7mqYiTmJDnfSMe+98vuCTTz7h6PjERCR5vp1YCntv9BpgQBsq/Wa95MOHS4osR2i4u73lj7/9LXVV4CCM2/h3784/icP3fbukPMqJ1aC1PACwovlubeY+Atj7te6xxOewuomHovlBx9Wf44e1Tnz3f4++9shXomeTHZhk6qAPRBuw9rsAGg9DLHEgxOI7mpNJyCh2cGXFcrlktV7xwx//mKPTE5q2YXm/4u/+7rcsjqa8fPkMqQyYsLpf8bvffc52VyIcF9c1laPnmemrkgohNOlgwN3dks36lnQwYjKbE0QjRqMxoGnqhmK/A604OT1jcXSM5wcIIfA9Y8a0ul9RlTXv3l3w9eefM5pM+PKr19RthyMVZdWgVMdoPObk+IjxcIgIAv7uD1+x2xcc/+RnjBcn6Cjl6auPuPjDCddFjoNgOJowmi5w0iGOZzwMXM80XsYVVzKbL5jM5jiN0Tw6lk7eG3uBwNUK5xAd1e9jhnGj7b37cFgwwMol+ixi1dUgFF7YEvsByWBgZAZBaMDwuqXYrLi9uQGtOHv6DC+MENatXbUNZVmQr1ds12uKvaHP+0HI7OiY+WKBnwzNvrjfI2XHdrPh+m5tM7kbPFfw8sUTnj1/Yl4/do2Qkq5pqPb37JZX7Nc3NHWB6zikszMWx6fEwxnrmxs26zV1WWD0UgHiwOLRlt6+JgpcfM/0F54f4IWRocSLw+VqEwU1WhqqaL6+5/LiPZv7GzzPZzibEEQt0eUNnucS+AHPXz7n1cevGAyHCOE+cpntT4uVFrU1++2Gi3eXfPH51yxXG7RS3F3f8Ld//WtefPSc6WyCHwZ47ncBoX94fG+z6IXhA1706OZ7uBb+YVFjv2ba5YevHZCr/pOH3KrHfx8mgI5rEJueN/2dp7RRHMqeIzAIhy2SnX7hU8o4s/b0iP6sPHrdWvQuT+asOY4gDj3oarbZCl3vOZ6PCKMQ4Xos1/d88eVrZNfw488+wg8Cmq4jzwqub5fcrbZIBb7vgZ0uuq5BWpTUNFKz2mZcfLjBczSLxZT54oiXH33MfG6cT13PJx2mPH/xnBcvXzKZzfE8DyklgR/wo88+5fZuyevXb2mqiuX9Et8PSJKYIPCpm5ambQjjhPlsxniYUlYlShmDCqVdwihGg0Gs2hYHB8/1CeOU4XiBVoKmLOmUwvUDdNeZ97Iz9CahDV1V4xJGgaEb0eIICbKjq0tkXSBcB9VUtGVGW3fG5KauwPEO+YO94BmMbqdHBXuaqu8oRrHLbBiQxh6ugw2wr7m5vuX66hqpNGdPnxnqxiN317ZuWS3vuflwQde1nJ+fMrEB9eKAapgX0HWS/T5nt88pi5qyMm6po0HKqxdPSSIfJVvDRVcaaR21uq6jLCt22z1t2/H02VPOzs4ZDIdobRznhNDkRUbT1ARJaiZGQljUx1iYe55HGMXWOMfmSlnAo7c1NrbQhp+/35npwWazQQgY9oYRGgZJwunxEb/4xc84Pz87gC5946OVQeakNFTutm3J85ztZsvV1Q1v312w3hpEzyVgu9lylwQkyTPm87kpNv7EjsnJyaHxg4dihUMh9XAu+k3xESj+YNjAA6vhMQ2r/7pdiOx/wtrFOw/TyUfPaztEy2rpqfZ27XIUWjvWEEc/sr3Wdp19hPT3n2vsBEriOYpBGCJ0Tdc0uMIhTlPS4Yg0SelaxZdffM3das2PfvZnDIZjWikp8pzrD5fcXN/QNC2e5yHs+9JaVNYR4HsmO7SqavwwZDqbEYYxw8mM4dAUBvOjIxzXYb/f4Xkuk8mEJE4QjiCKYj797FO+fX/FLi8p8orXr99xdXWHYyMZdCtpWkPFOjs74+nz54RRzIebJXf3KxAO0/mCKEnYZxlKwyAdkm93gEMUJkRhTOD5SFnjaIMCx7HRrWgL8M1mMzrMZAMpcXRnjQdKaBpTQGmDCHdViWoqlM0zrHWAxJgxCNcUO20nD06mymxbJn7DkyRRx9HAZTrwSRMP4bkUec793S1Xlx+om47j02ekozmOnSh2RU6Zb9mt7thtltRVTRInjCZTRpMpyWCAb+lbRu/X0NS1NT5TbDY72rbD9zx+9NlnnJ+dgC0itS2ayyJjv9uy3+9ompYkSRiNxkymM9LhCMfzyLM9jiMoiwzHZqqZq9wUYtLmUPYOsPCgVT2Y09n1WCkzTeyamqrIWC3vWS/vadqWJE0Zj0fUbWvcsCdDPvn4Iz766COSJDWugsI9ACx9Q2QaT0mZZ9zf3nJ9ccmHi0uausFxBLJpub+5YToeMpmOCSyt7k/tWCwWB7DQRJA8MFcOQ4B+cbN134GFdajTepflXtsmHk0Uv2vc1TcbD42kXSv7HlIfxpDYZ7VLoN2r+td50Itry7rotd18t+nFfN7TIVNf8GQSEjsV+casDS8/+pjjk2PjhlsU/PGPn3Nx+YH/4X/4l0SRT9tW5HnBmzdvub65pzEefyYZxNagXdeipMLzzETt6uqGstjy4sVHOI7P/PgJyWAAwiFJBpw9eYbjuGYAMBobirSAyfyIH/74x2R5wbtv39G0LR8uLnh/ecV2V9BJcBxN27V4rsPR0YzpdEoUhix3OW/fXlK1ivH8GCeMaay7uvHKMC86Tsz0SVvDQakljXSpsr2NIjP03OFwQFsb7wehDStLajvh1xq6zoCmlckIpGvQvjwAS738C82DNMyCmkpKtOxQXYnnC4JEM0xDkmGMH5oIkaau2CzvuX3/Ldluz/HT58TpwLgw2+an2hvgaL+8p6pKHNdlOJkynS1IJwv8MEILY8TX1kY6s9mujXFXW4PuSJOQzz77hNFoYHZy2dF1Glln7LdrsvsL8v0WLTvCwZzJbE589IIkSUA7eOEGx9EU+Q4tO3Bt3Wobv7ouqIo9SeTj9pF3QU+j7SsCe90K0FJSVwWb+1tuL9+xWS1xAp/jszNGiwW77Y50mBInIYvZnB/9+IdmImrNIXsvmIdBQEdb12y3az68v+DNt5dcXd1R1S2e61JWFZcXlwShZ/TrnvNgKvafOL63WeyaBhDmBhEPmTb9gvHgdvVQjPb3/ANaZXZDU+Oow43dLwsHeoLsUKpfeBRSioNLowMW8X/QLfbTxceFlXhUvRnecW8x/91sMruCGf41IB0PgclUDB3P2KD7Dkk8YjIZEQQ+VdVwfX3Hdrvn6fkxk7FpBoqi5H65Zr3Z03aS4WiAGyV4QT+WF+R5yf39GpTEc10mkxGnRxMm0wnjyYzxdIHjueY1ohmNhiwWc8aTibnI+vG/EMxmY37240+ZjlK6RrJeb7m8ujaBmhrqpjYb6tAlisODdX5d1WRFiRNPCaLIaD42az68fU213xB4PlGcILXk7uYDRVVRNbWxaReC/eoWX9d0+Ya7i7dEoyl4IapyqWlxdEMaOgRCUedbVJXjBB5NVVLnGV2jTV7aZoXGM86wUpoT+4jirDFNlJYKoVpCTzEdRIxiz0wqu46yari+vufduwv2WcZicUSaDvDsgiK0oQpvNxuW93f4QcDp2RmD4QDhOA8Oa1Yf1jYN292O9XZHXlRUtXEcq5uWJ+ennB4fHa6prlO0nbGHlp1xjGubljRNOTo+ZjwZ4/sBSrYHa/eu64jA6uFM0LChTpspoZSS0OosXde3jeIDJcu4wtnpX1mR7bdsVivyPMP3PYbDIZPJ2BoO+YwnI0aTCc9fPCMMAgvEmIkSPUpr3bGaqjLOYasV2T4ny3LKojK0OF8RhcbOv65qlNJEcUoQ/uk1i72pVr++9a68B4ALeDzhOxyPO8YDeAaPqpaHrx9YGg8shz6HCtssSlusHUKprTHS4+d/DHL0z93rUA1Lq29I7evXymoihAEIugYvUkQuOFri+j5BGJMOR8TpECkVb9++54+ff0XgB0xnc7quZbVccXt7w7dv3rFeb/B8nziNaNqOzt7LTd1QWs1rUzdMJlOOjhekAzNFjJKUwDJW/CBkMpsRJwlSdoZ10DNRgPFoyJ//8qeMBwl5UbHbZlx+uCHbF6Ax1NnOhAubvCjNZr3hN3/797x5+w5t9ZnXt3fss5zLd+/Z7Qy6LzSs7m74zX/4S9LxmFYpJBAnKVWZ47sC2TW8+/oLgnSI40e2qTHu20IpkC2BrBi6EuFp3K6gKXNkU0NtwqXLxqFz7BTNMU1uJ02zKJU1NMJMKuOoYxR4jGOPwBNIDXVesrpfcvPhiv1ux3AyZziZmTwux0W2Ffvtivu7a6o8w3Ndjk5OmcyPiAdDPNskgkZ1RudsdINmYpNtd+y2e+qyZr6Y8cnHL3EcqMuCsixp6oqqyMmyHXVV4joes+nMTCrGE6LEBHqbDMcWoRVFtqVrCqJkYidBptjsuoauaR7clzHAglnrjCFPn88nZUtTm6Dp/XZDnptcsel8wWA4IAhD9tmeZJDw/NkTfvKTHzGdzfH8ANf1LKCnHh5btWad32y4ePuO1d092T4j2+3RUhHYvaOpjPW+68wIguB/5cPwp3A0TX2o3VzPxcX7TnNnjsN8z6xb/Zp3GF/w6N/t/8XDxw+PdRgt2+XLXA+PH+5hWGj+tXcY7U3EpI0r6v9+HOXR/xE90GafUwsTaeMIGKWC04FDU+xZr+45f/GcsydPkVJSViVXHz7w97/9A+PJnBcvnqFkR11W3N3csVqu0WiGgwGj+YLtfo/sFMPBgOVqzXqzpW0V4HB6/pTAf0YyGFN3midPn+G6LkoIkiQhOHuK67r4vo/n+TaLGoIw4PnLVyilCDzP0vsbsrKzwxfjXSGlJAoCJqMxWkOnJDc397y/vEbiguuTFRXFfsM3f/g91cZEhEjbON1dXyH9lXnPuhYhYLe8o6sLmqrg3euvGKQxq8a4KBszWYHUAhcTNRF3OW5boPa3VPkeF03nD8F1aVr3APQbNpR+aBTtuVNSgipwhwGDOGCQRuY+A5q6ZH17y+W7d2SbJfP5nPnpqTE205quqtjvdmzvbthuN6i2JUkGDGcLxrMjonSA4wWH5qtpGrabFavlkjwvkbIFU2GyWEx5/vwJQhizLqSJMSmWH9islqhmjx8kpOMz0vkp6WgMvjUalNKcR9dhv1khmxLi0cPFLDRlYfxO0igw8XBeiOP2a7G9d+zUVUlFXexZ3d1wd31Jsd8xSFOmT55ytDgC36esGqIoYDQe8NEnrzg5PzdpCY/WUuOZYLTddVmwXa+5uvrA/d09+ywjyyuk1DgOSKkoq5r9bk/dNKTWhOz7jv9Ms2i0SeIR+t3rdXQfhuq6xsqod4P8zij00ZtiT5PlJ5jHtVPIQ+0DB9McZR/DghSG7qOts0/vhCoNlbGvjdxH6L5hYDn0g2GlOztRMbbftly3m5mDg0McCjzlEvs+8+GUYeQSBC5tp7j4cMO37z4gpSKMQusGpymLyn4tYuZHLM6fMl2cMByPDhfGer3l1//xN1xdXnJ+OufTT18xGZkJk1Q2FFfbRU5DGAREvRuUNgJVZfVQruuQJjHHixmj0ZjNds/V7TVFUaGFQ90Ye3bXMVRYkzGm2e1zqqplPEuJByOE65kcxfslndK4UYIbpeA41E1FW5dUeY7qOlzXpW0qBNDVBbeX7xjOjnHDmFVTo9uCUeIzeHJCOohxQp+8kui2oy0LmqpEao+maSHLkNq8p8qif47rHezKe1hRS4mnWpLUZZp4+I6iaxV117K8X3F1eUWe5SRxwmw+J4rjQxaikpIiNwYZSRwzW8yIovgwzcOizF1nmqV9tme72ZDnBUXVkJcNZdUCgvOzEwaDxFqId+zzkrpu7Rou8ByX4WhEmhqNoeOIg5lN1zRk+z11XTMaOwYhlQrh9tMgY9igtTbOrY/soPvNUStJY913y6KgKHKKokApbSYxSXLIe9RK43olQeAZDcAwxfVsoWjvFdlJ2taEaFeVyYHcbXdUZUkYhoxHQ3zfUMCj0CzmnudQ17W51rUyER5/YoeZNvGA0gkTBfEQ/Nznfn63KHq0uD2uesy/2OG1cASuMHQtE1Dca3H6htGK0i1ibVTY5gHUgYb/0ESZZ7VmR49UQw9FWr/OWjS/n9ZokLrD0S2jUDAMHeLAJYxHeGFMEMY0Tcvbb9/xd7/5LdvNnhcvnlHXFevNkuubW8NOUIr5fM7Z0+ecnp1R1zVd2xGGEXlR8O3rN1xeXjCfTjk9PSVODf3R83z8ILAbW4dWHUJogsBDa9fo46XE1dq8Jxg7+ufPzknSAW0r+au//DVffvGaspO0UtIpjSeMdlprxfXtLb/7/R/Z7TO8KKHpOuNMvF5zf3dL2TQoYSjZney4u7tluV4jUTiex3g6Q3et0aE0FRfffo0TpXhxiupMtIgQMJ+MGccBss2pdU0QCDxVo9saoSSqbVF1Q60aWkcghNkz1UGD1xe+5syFriD1HaapS+RqOqWps5rNZs3d9QfyLCMdDJkfnRAPx3i+R9dW1sTmmqIsGE+mLI5OGU/nNhLETBLatkV11uRgt2WzWZFnOdvtnvt1xnZrwpxfPD3n/OyEuqqswdCafJ9RVwVKGb3OaDxlMBwTxyaiSTiCTirqyjTHWknqumW/2zKanWOWWwNStdae3XOFnZTLg1O1kpKubYxsoWupqpwiy8xjSslwPGE4GpMOhof7JysKPM/l5YvnnJ6emDgTYTPXpKRrbQ6kbKmbivXynqsPVzR1y9HJKYNByWa5w3FqEj80DXzXUeQlUiq7DvzprXVZnh3WpcdRFw9Zr+I7WkXHTgpNf6iwyP1jCI0DkGbXm17m069HPcOL7/zMowmiXeOUnUipHixVVmP6mNlhm49+WqWUQtj66PCaHBftCEJHMYtThm5Dud8zm884OX+CAsqiYL3Z8PkXX3Fze8c/+fO/IIkC6qri4t0Hrq4+MB0P8aMRT5695NVnP+XD9TW7zZYnT59we3vLv/13f8WHyw/M5kf82c9+gXA1+/2eoYLhaHSoR13XwXHCw47RdR2OlbDUVUWR7fF9n5OzExCmEdzvG/KiRGibgaw0aZIQxSFV3SCBi8srtruMID3Gj1PqVlJsd9xdX+E1FYHv0boeyXBI3TQ0ZUnbtlT7rQWiO9tgtFy++YbJaMBe+0hpnEYdFHGccDxO8DUk9Yquyml3t1RZge/7yEGNdjxq8dDwYyVg+tDU9wMbjdYVaRAxHMREQU+zL1nd3fLh3Vv2mzXDyZjzZ89JhyPzflUlZZaxXRqH+SiMSI5PTfb0YGKmtG5POzd6xs3qnvu7W7JsR2d/T43GczWnJwsm4wFaGYZbl92zuruh2t0jHI/h/IzR4ox4MMUNI3B6BxLjUipbE7+SrW/JVjfET47NPuuY9awqd3iuQxgGCN9HeN4BeDqwHQDamizbs727YrW8R7YN85NTFotj4qlhFfZArOu5zI8WPH3xlCCKDoyhnvmklKSua/Jsx2a1ZLlcUhYlg+GIeNvSKdm3GSAEUilKayCEVv/bmkXP8x444vaX1NI0bIc7/dFxoGA5wvC7/6EhjtPTvHpNzSOTHLDfa7/+iMqFFbwrKR+9QQ+UCfOzoEUf+mrtjXlwEOyjBg7uqj1/WiqE7AiEZJ54HKUO85HPLPHxHJMLdXO34u9++yVv3l0j0FzfrDiajhiPTAMynkxIFFSdZnr0hLPnr/CCwIj8XYePhMN4OOQ3f/1XPH96wnCY0DQ12/XGZH0FKZOFtkusxnHNZKlrW4Ng9xcYwghZhRFFx0nEeDZj+JsBdbNGacsbF8JMmVxjztFK49SqEWaTD2McPyJJR6SjGeAi25p0NGW6OCUdjQy9sigJ4hjPD5BNy+r2jrYsTcGkWmgF5XaNoxrGiyc8PVkwTCP2Xgf1ntYaHTSdRHs+SmvqpqGTgk7aAtj1cPuBibQFswZUR+B0DKKAJBDotqWUHfvdjqurG/KiYDAccnR8xHQ+w3Ed2rZBN415zqYhHaSMJmPiODYbkd1QetCha1uKPKPY72nbFikVVdWSFRVVXROGPsfHc1wX6qZhu9uz3u5xHJfRaEQSx0RRaC3g/YMerLcdNw1WZoogG0uhlRF1aaloqpI8M9of33MPVALTyEpk21LVBfvtlny/p2lqHMexWY8xQWiysnqb657a67oOk8kI3/cQwjok2tfUHGhoJUWes89M4XC0WDCeTAiCiDAMCTyPKAqI48guQg37LKNtOpT6DgT9J3H4QXjY2JQFK7qD0cY/1OGIA0AFPHzeT/l6NzjHMeuRsGuSjV1wXLvOweEx+2bREQIJh2mgeQp9KM4On8OjKZwx/xLf+Vr/Wi1l1nHRSiDainks+PR0yPE4IPU1oe+A61OVNd98/Ybf//3vWa93hEGAVpK3b9+y2ayQSjFfHLE4OkFqusxLBAABAABJREFUl08/+zHzoyOaxtILfbNf/ODTT/j6yy9IooAw8NmsluRZzmxxZCIzOolyTLMmpcTY0DsHcAzs1iKEcUbNc0bjMcdHx7x6+Zy723v0akdVm8gfPzBOnI7jsd/nZEWJH8Qcnz/h408/JZ1MSMdj3CDEixN01zEajVmcnDKYzMirkrvbG7QQHJ+e0pUF9x8+UG/2+FWD63hEYUwhCzxH8OL8mF/86BMmsc/NxVu2t1eEqsEVmijwKH2fWjjIAyXIanZsBqOUEtk95MY5QBI6HA1DpokHqibfl+y2G25vb6irisFgwHRxxGg2I4hCurZit1lx8+GStmk5Oj3n9OkLomSMHwZohNFdtaawkW1Dke24v7tidX9Ltt+zWu9YrTJWqx1xFPLLX/6cNImtadaG25sbmroi8AMmsynT6Yx0OCEMYzsZcWibmqoq2W837LZrus6AbOvVkqPzBtcLDEjbNtRljuoaXEfbvbcz+7KUtE1FV5e0bUVVFuS5WZODIGA4XzAYjgmiCMf17L4vLQ3a5ez8lCgK6TWOujPU+rZpaCoTsbHZrFguV/h+wA8+/pSTkyd8eH/Jl3/8ytKeA0TT0rYdWZZRVxXxIDXa1D+5w65x3cNkDvQBvO9BLnjcTBqNnnHG92x8jPtdo0M4rJd9MXzIoLNA1ncpqqInKR+YY2atAkcLcB27DnCYSvZ7t7LXjTF764wzppTw2D2/65gOBc+PEkJd4MYR0+kY0BRFzna95Ns37/n8i9e0nWJxNKeqWr788hu+/uprPnrxhFcvnnC/b/nsRz/kySc/4vzpc+5ub0iThJcvX5ImCf/23/w7zs7OCMKAfbanrlujm3W9w++GfW86afLIDQPKgIL99L6qC2TXEicJp2dnZEXH24tLXO0dcp6TQWrXWUXbGOC8bRUnx+eM5keIICKME5QG348YThfoaMAnP/0leAF5bsDmFa5xvvV9qv2eYrMm222o9juIpzi2q3i6mPLzn/2Qo0Tw1Rd/RDcFjS7ZtkZq5IjEToMVSjUW4NYHecRhVqTNsEhoje9JpqlPGgcIJHVRsrxfmkZxt2UyGvH0xSsGkylCm6iXuq7J93tAMZ4fMRxPCYZja9rn24mmBiUN/fL+jvXdLU1VWmKDyblt2w7f0RwtZvieg2xK8t2G3fW3FPsd0WDE8dkz4vk5fpggHM8AW2jLVNS0VUFd7HHQtOWOizdf8NHxp3ieT6cFqmtpqwI/MA7auKZRPHgNYDKO66ah2Jimri52hFHEyflThhNr9OP6Zl+3QBoCjk8Ne00ImxphgZO2bazT7obNZk1ZFHiez9n5OaPJhLoROK6D4/Idk7a2NRniqtfpf8/xvc1iEMeHhqwPNNfqQRRtrv++YbNUKktZPfDYH5va2EOI7xZJzmHhsF+3CDv9m2HDhTs7ETHFd3cQPBvU2jHh454HvmcDk3sRtgDHxXN7Ex3rRik7hGwZeYqnk5BPjlNezDwmfo1LR9t1rFYba899R1aUtI3ZiHzP4ZNXT5jPRkRhgKw7lFYMJ3PS0cxORWs0Rvfygx//iCjyaLIt9/crdqsVu80WLRy8IOXo9ClRGqC1QeGaukZ2EuEYm2LHcQmCkCCIiOKETplcnul4TBrH5GGBcHyyrEADURjhBwFeEJFV96y2WzSaMArsZFjghwmT43OidESVZ8YddDwlTBJkJ9HCI4hS0uGY6rTk7VffUBQNddUhEDZQGo5mc169fM5sOsHRLYWdRCspqeraZq5Z+mdrnL2kMoCCIxTKMVqg/pxrpXC1JI4chrGPqyVNVZHlhckuLCtG4xGL42Om8xlBGJvsOIvAeNZAIYpjgjC0G5L6DhKqbDNelRWyawk8B99zqZuGsqzo2o6j+Yyj+QxpJ5WbzRYpNdPFlPFkbDLlbLPWP3K/cDZNS1nk5Nne0G9XHsvbS5Ikxo+Tg3amqUo8GwQNWIdYTduYCJXV8p79dgvaIvujocnScU0jaHISzTMrrSmrEtd1mUzMpti0Jkuo6zryLKMsSqQ02VlaKwaDAaPBkOF4RBSm3N5vkFIZDaVvigKlJJ3s7EZTkg7S711U/jEeYZocKOsHMwUpD8j2g6kDh+LIsVb/juMQHNwDzbn0+nVP90ZCD7R8E5Fh6VTCrHd9QLhsjY64bQzi17UtymbJYsEv13HwgsBkQYYhru995zU9GHkBtklRCKRsmYXwy5dz/ux5yjyocbWP6wnquuXb16/521//Dfk+ZzgYgYDVam0MJrTk+PiI2WyK4wQ0nWY0HBMFCZ4naWsTBO86gpOTUwLfY79eUuUZq9sbbm/v2G23hElCOp4gpHuYsnmeef2uNZXRGlOcuuY+1hhTjiRNmc1nHC0WoBzyvKJpWwI/IB0OEa7Harunk5rFySl/9otf8ckPf4jUEKdD6k6CY6g7R6ennL94SZQMyPMc/ICqaRjPF1S7LcJx6TpFU1Zo2eE5ptA5OV7wq5/+iB++OKUrduw+aArdQVsiuwqUBMdF4tJpUAj6/N/+48dZfwJN4ME0dTkaBfiipcx3ZLsly/t7pJKMp1Om8znJYGBYLW3FbrdjtbwDNM9efsTJ05ckwwlSC6OnrEtLcTcAaVtX7LYbsr1BvP0gIM8qlus9ddPy85/9kJ/85Ad0XUNeZOR5geu6zGaLgylRHKf4QWh0MkDXttRVSbbbslndk2eZvZsc7m4uODp7xnR+hrbNYFXkqK7F9UDLlq7hYIHftjVtnVMWdpqIYDSeMJ5MidOBpSibPcRxjZt2XuQm5mMyNppD9RBcXlclZVGQZzn7/ZaiLBgOhjx7+YqTs2fE8ZCbmyVl0+IKh9C3NFQb1J3nBePZFOH+6QFjgR+YRkt2h0YRC5KZ3sayJ0QPcJn4tP5Pb3jT11Hi0Mxh719bK9qPzfGgUexprX2GYm9SKGVns4NNw4FdE/wgNLWMH+B6Ll7gI4TNT7aPI23enuyMy7poS2JP889/MOEHZ0Pi7h7XTdCOQ2U1wG+/fc3rNxcURc14OEZLxb/597/m8z/8gV/+7DN++tMfgmq52dakgyG+H5IOTKxK3dR4vs9nP/wMpSRJGnN7e8u3r9+wXm9NJNfsiOl0eoAblHWd7NoaJZXZK/yI4WjCdH5Msl6yvFsxm6f88Ec/5o9fvKZtJVGcUNUNaEEQGFOcIAjIi5Kb23u04zM7fWIMyAQEUYzrh7hhzOL8GZ0fM5ovcKOEpKy4u79lm+WMpzOSwYDVxWsU0FUFVZEjnRQXzclswr/6Zz/ns4+fcff2C7r9PaFqEZ6pqKTWBK6HeBQBgcb6hdgMYDiwJ3paaxq6LMYxvgtNWbBbr7i8uCDb7hhPJjx78ZzRdArCMWtYJ6mbFscPmM8WJKMpnh+iHe8g4ThcB03N5v6W+7srMwBJEsIooqobsn1O00lOZgOOFjOUbI0p2PKaItszns6YPvsRo/EE5fWTO/HwO0jjLFpul1TZHtD4SK7ffUNy/g0vX32CxKMqC7q2JgojHN+3siNxqC/atqUp92w3a7LNChCMFydMZwvCdGhc1g+52qauzYsCx3WYzWc41sOk97GoypLdbsPWSpM0DtPZlMXRCYPBAD8MmHxY4vsuuhP4votnnb27tqMqK6NR/c94UXxvsxjH8SPUQD4aI5sF5gGBetQP9oUKZgE5fMzDoqQ1SDRI63xlEXwO49ReDGu1iZ2h0XRdaz7uM8nsYwnHuFO51vI5CAKDmrjuQ1wG4DrCbPq9QFsrponHL14e8aMnY45Sh4gKXXVUuUE7bu/ucOn47KMnOMLh3cUNVd1QlGaxiBIztVpv97TKZzSeEoURnTQn0iD+Ai8Ief7qI5bXH/j8d3/P6uYGpM0W/OJLprMFn/7wh7iuoal1TW26/X6B9HyCMERrgRcElFWN0govCExjpzRR5OO4AoGL75vsqm2W8fs/fMHVzR3C80jSBM/3aIyrAmEY0NWmyA0CnziOcX3fONe1LcJt0FraaaWL77rGyKGpiaKQxXzCJy+fcbKY4TrQVO1B65LnhaFhViWhlxgTA0eBpZ4eolhMq/NA5dOawIVx5BJ7mqYuqZuC3c6YyMymE2bHx4ymU7zAmDyYS8/B931z/vvJqqXx6UfD8N6xq9+oBMaJNPA90xh1Ha4LJ0cLptMRTV3RNh1RFDMcjRiPx/iedTik3yiVubFtaH2Z79lt1lRFQdvUrO5vjUGO7Dg+ewI4lEVG4Af4gXnPlQZsY7bbrLm7vjHmH77HYj5nPBkTRRH0Adn2fpKdQVmbumG/z/GDkChKaG1D2NQ12+3OOgk2RGHIYJAyHE0YDAdEcUIYmGtru9tT1c3BPbWndCmlDLpX5Ey68fcuKv8YD7dnQ7iBJTPoQ9MopVmf+ukfcGA9iJ4lIUBriZQC2bXUfcNp1zJDPXygUEmLjgshDuig6jpkY6ZAbWNCl5Xs7LTa/CyWzulFIVEcE6aGDugGAa5r0lydPkZDgxYGqW9lR+Rqfvp8xi9fTFjELb7SKAlFVnJ5ccU3X36D0IIffPopndRc/v3vqeqa8WTEfDZlOBygpSQr9mhh8vi8IEC0rXGqU4BwEdbEoa0K7m8+UJUFdVVy8e4dnXaI4wFnz0zen7KTNvcR/bcHQRAe6XDAcDTCDwLatuP9u0t2uz1RFBIGHmVVmbXe87m5W/Hb3/2R9WbLIhrYaaNLXuTs93v2u8x8v+9TNS291jEB4jgxsUjWRh7b+Kquo61KIs9hfDLnpz/4mFdPTnGA1WbDZr2iqUva3Zbd8p6mlZAM0cMJSgtr4NVfM2YPdADtGMqegyCNHOaDgEGoaauMuliT7bZEkdF0jqYTG0btI4SkKgry/Q7X9Tl99YqTJy8J4gFaC1ANXVPSNRWd3X8MXa+15mSa8WjMaFQYc7aiwvddfvazHzEcJNRVQVtVBGHIdDplMBgRhhF+GP2DwHZDyS2yPZvVPUW+t/R7swbe3Xzgm8//js9+4hDFA7quRmtlXSSNc65WnblnOmPaVZU5sm3wg8jQTicmQNzxvAOzSEmJcByqsmS72RIGAZ7r0lpHx/bQKJbk+4yyLBGOw/HxKedPnzGaGF2jlB377ZayLIlsNpnvubiOYe3keU7TtMZS/0/sGCQJ0u5zRvfbmcbRSokcx0ydzN7kWy38wzSi736+k7nYMzLsFKd3Ve2kmfzJzvgIdK2hGcuuQ3ednS4/1Hta2zxiW1s6joPrhwRxQhgnhFGM54cHTwjX8xCuh3AEfuATBj5Sa6ZK8uOPnvAvXvm4XUbv/9U0DfvNkrdvXpPnez77wcccHR3x/nLJb/72t7x//4Z/8ouf8C/+2S8Ig4B3726oSkVs3TVxBH4QHBraOEl5+eoj1ve37PYZm9WGDx+uePf2grws+Z/ihKOzEyw8ZJpgbdbwIIqIUsN8cl2zvgVhyOLomPFkyt3tPVVVk6Rjw4ADhAWDcCI+XF3z/voWLx0ST2dWO14SSm3o2jLDCyI623CkYQBKst/vaOuGJIqQTUtb10aWJTszifMr4sjjpx+f8cmTOUGXs18vKbcrotT0BFleklct4STE8wKEF+AemGEaQ1Z+MGcTYAzEXMF8GDGJPXRbkeUGEJdScvrkjOPTUwajEUKY/Ow+cz2IEuLRhDgdIlzfZqX3fcbDRHG/vGN1d03XNPieGR75fkCeF+yzHHA4O12wmE/omoq6LEG4LJ5+zMnJGc7gyEhOcHnQ15pptm5r8u2a7f01sm1whMB1jBP1mz/8DcPQIZycUeY7XAf8MDJGadgsa7s2FdmOfLemrhui4ZjpdEY8tsaBB+dZDo7nVZGz3axxXY84julkhyrNfVUW+cF4TMqOOI5ZHJ0wWyys47Q4vH7XcYnDPhbHAMuyM6Z1bdsQxt/vcv+9zaJQ3UFPxoEmx4Ga2k80+gL/cX6OoSFY16pH4+jvRCX0Jg6Pm0P1gOhr9RCL0TspHazi+8YVQPcWxgohlYll0Map8oG6BS5mEuYIgee6xL7L/Cjh6SxlFoHTVdRtSbHLuL+5Yr9Z4Qh4+eQE71VA03bc3Nziui7Pnp5ydn5KEgfs9hnL1YZkdMx4PMVzPZQy2ZQ9iqyUJAhCxrMFjuuTFzW+69K2iouLD+h//1c4rseTp+dEYYjyTG6K6wXGBtz1zETQNtVKKRsSHdC0kqppcQNF05roirwo2Wwy3l/d8Ovf/JbtNmM4nTMcjQmjiK5prTERVGVOtl0Rhh5atrhOCKqj2G9wixzdVKxuLunqEiEknguB5zAapoyGCfP5FMd1aNqWLMtYLVesV2tWy6VZ8JoOxx8QSIkbunheaDZha8qhHlFXDH1PkwQO08Qlcswi0JZG2zebTZjO56TjCV4QGuBB2sLP9wnC6BEFl36JPkzeTONorI3ruqZpGqO3dcyiZDRkEAQBL56dMUgSHAGD4ZAwjA5a0oMgoy+elNGEqa4l2+9Y3t6w322RXWPy5wSU+y0Xb76irUtGE5PtE6eJpYsKg6y2HbvthrvbK6qiZDgcsDg+ZjweG00OPHJR7Ddpc82XVUVRFMSxecy2MVmM292O+7t7ijwnjs10cr4wpiOupZOBIM8Lrq5uqeuGwDM2/21riglli8OqMEXUn9rRZCbGRgSBofa6Ho5vLa610UGozqLfsp88GoOVfg0z+qjOfJ+dEPcmNubolTzmnIHRK/bTdNRDLqvrChzhoZV7oNMbSpOhojuui+N5CIwrr6MUSlgHXR7oXhqTjxe4mh+cT/nZiyknAwhUCzjstxkX796zXK4Yj0d89qMfMR5P+fWv/57VJiMMXI6Pjzk/O0Ipaa7tVcbs6NyYp1iLQOG41ojMmMoEQUQ6GHH94QLZdjjCoa5KvvnyS9q24y/++f+Oo5Pjw1RVoXH7ldreW44jkFIbxogf0NQt796+4/bmjvFkgnGbNs3l/d2Kz7/5lj/88Us6Ldht1mw3G8qypCwrsjynKHLqoqB1HdauR352znS+MM8pJdvba3bXH2jKnKooUFqidEfkuTw5OeJ4PuXl+Qm+J9hnO25ubtltNqiq4O72jvffvqVTMHvykvHER3jGldMRrj3ngKNRQh8K7sAVDBOPYeTgyJqqyaCpmcxmTOYz4uHQuHsCSraURUaRl+AI5osnLM5e4EdDOolpEquMyrpf9xMNI2loqOsSrSSBtW9vW3Mdj+cTnpyfGffWqsD1XIbDEXE6IAwiHM+3018OekuDaOdst1vyLLNGQ8K+lR15tufz3/6Gpq75wWc/IQhjPM8U9I4wDYHJ2jXOrG1rTFcG46kxWhoMTBFq9zylzb3XWofW+/s79vst48kI0DRNZZrXvCDLMoOWK8VgOGJxfMR0OidJBwjXQytF3Tbc3FyTFwXhIEXDwWxKWWOypmkMOPcndhTFhsA3OXtJHB0mhP2e0gNZSpkaqm27R0OBB/Ovw+eH6ct32ROPmPlGL6304Y/qazfhIlzDCnswij6sYKZwd10c17f7UUsnFU5dw2MnaSFwHWM64ng+r859fv7RgljcUrUF0jYxWb7j29evEWj+m1/9gsnsiL//u9/x13/3NR+u7/nznz7hX/13/wzP0dzd3vHtt5ekRy/ww/jgLaHpX5NpqgeDIflugyOEzV50qYqKz//wOULD//h/+p85Oj5Gdg6OHWIEoWGIeWGERlCWGbvtmtD3GI1GaK25ur5BSaPfNowEDvKgzb7g3/y7vyIvapIj4/jcyo6qbkFJRtM5Vbk00VyNaQKjMKQpC24+XNLsMzZxYDKatyt8x7A5jEv1lOenc16dzZFVTqEadtsdRVEyCENW24wv319Ta5f09AWeaxp2zzF1kRQCx2bIHibXCDw0g9BhPo4IRUdd5JRZhhcEPHt5zGQ2JQzCw8RMKQ2uMUULR1P8OAHXBx6iWjTGoKYpC7brFev7W7qmNjEQdv8zEiVjRDgYjvjRZ5+QxiFKKvwo4Wg8Ix1NCIIYJdzvTMi1jUaSnaTbb7i9eEuX70jTBC0B1YKjKVcX/P7XJbOzj4gHA8Ps8+1YQrU0dUOV78l2W+oiB8dldnTKYHZEFEVGb3n4rR6GZm1Ts14uub+9I01iQFOWOa01ksszI/dyXYf5bMHi+IjRaGryMs0dStvW3N8tEdqsv0Y/awYOXdex32cURUkch9+7bnxvs7i6ujxc3IYO6R6mclgEqje/6XnlD5x0YdCUnqNgX3i/qBzeFGsGgqW4qj5LoZ9dm7n24eShH0JdDwiU5cs7fSaQ65hJQf980jSeoHExIcqR73C+GPHqdM4ocqCrqaqcbLNic3tFle+JQs9MXtKEvGytm5BiMh7y9OkJSRICmryoWK33xOMzw1HWfaj8g4291tq47Q0GLE5OePvmWzMdVJq67njz5i2dUvzFX/w3PH/xwqICNlTY5jZ2VnNZ5HsCzzMOg15Aq5Q1jDG27HXbsdruePfhA198+Zrb21s65RgnJOHhez6x46LViKZu0LJjv7qDrmK+mLNwztktb7h7/xrZ1vheQJbtaSuDHodRzGg8IhkkDAYpruvQdS1tXbBeL9ls1mzWa26uTdixFi7hSDJwPMI4JYgSi9gaDr9BIA1AIAT4CMaxxyzxiFxjeCECnzSNGY3HpMMBThAamoJtZFyLIPk2HPZBB6Ys8GRofk1dGa3ebsd+vyff7XGExvNDWhs277oOw0HC0WJGGPhmohoGBH5wuMn6fVBr64wqzXWb5xk3V1es7u/MdRb6eL5r6ZyK1f09m/WG2XzB8fk5k9kcgXt4bbvdlvVyieo6FkdHzOcL4jSxjUHPeQekAVEOug1ptDZlVTEcDk1hn5np5nJlUKzhcMjxyQmLxZw4TQ21y0bcSKW4u7vn/fsL2rYjjkKbIyUNMmypq1VZURXF9y4q/xiP1c2F1eNYhoIFHFzXx/U8mw/6sKYITOyFG9ivCw06fFQgafr8JmGsSO36ZYspHihfvftpn0MlDx8/vtLsutpnz8IhB828btt4YqaJQgjrvinxkbw6GvHLl0ecjxx8KlCK7XrP27cXZNs9R8cnHB2fMJlOWW8z7lYbmqbl/HTB2ckxgzQmLwr2+w1X13eMZmc4zsP2cZi4HjSdDmmaMhpP2KxWBpDRGjrF22++oW0afv6rX3H65JQgiswk18YtCEvXbJqK25tryrI4WJYHYYhrXeAOKm8NNze3fP311zR1jeOHdK20kyFj9rSYd6yWa9b3K7q2oikLPgyHjAYDsmzP6z/+lvfffIlsGoSSyKbGdQRhFDObT1lMJ8wnIzxX2Miie+5ubkwERVHx4eqWy9slwg3xj2EcDnDDGF94h9fYKQOQGn2raYaTwGUQu4SeRHUljqMYzWfM5zOCwRDHCwBjDlOVBVWeo7XLeLpgfnxOmAyR2jhctnWNbBu7lkqM47KiqSu26yVVWdAHWtd1c1jvJqMhcehTlQVCQJKkxIkBx3ptosY0El1nwLsyz9hulmw2K8qyNMyUyLA8XMvWWC3v+et//2+4v7nh409/wHBozLMOBZg0ukJpG9hkMCAdDEwz6wUHVpOW3YM7qqWXvn/3LZvNhvF4SNe1Js+2KCjygrrp8PyA8XjMYrFgMBofQqtNKLxiu9ly8f6Cum7o4tgAzBa87pSmLErqqkINhv/F1pz/WseH99/iOiZrz/N8fC8w95RnagPH9Q6gT08VPbiOCoHgwQHf0FStJpGHBtJ1e6McS8v3A0IVHd7jftpuaiSr4z44UD/86Y9e99gfPW1fWaMopcw+7DYF0/mUn72YMHYrmtx4BqAhz/e8f/cWAfz4xz/meDEjyxveX9xw8eGWZDDiv/9v/5w0dLm9ueLt+1tu79b8+OVPTIi6dUDXSprG1A/MHmAdTpM4Jk3TA+tIac2Xn38BjuZ/+p//j0wWM8A3LK2elQGURc7y9gPZZkMSR4SRaUw3661pSH3jEu04Dl2nWK3WfPH6PW/eXhwAySSOSWdTdlWL01Qszs+5un/L9YdLZF0xnB/z7OVLkB2buxvUfsVlfkdVFMg6w0XjuD5HR8f89EcfcTwZ4AnJbrsB1RmX9LqlknBxfc/b6yXhYIx0fJNR7Hh4FmyRjrST1z4FwZzrwNGMEo9h5CO6irqt8aOQ+fwpw/HEujvXyKqgaxrzPg2mJOMpTjLEdc1ei51eYzXKdZGz3yzZLO+piuxgYqk1KCHM9NyCXCenx7x48czkA/uBmVbHqYnmOFzvD/uv0hrdVuT7PXdvvmZ5d8N0MsF1PVopUdoweJA1l6+/5PVX3/DxD3/CR5/9GCF843xdGiPBcr+hlZJkMGI4XZAMhzh+YFg1jrCO7Ha4oRSyrdlu1rx/+5a72xvCZ08tu8vIiZrKsDXSJGU2M1KFKE4O5lTm9tIs79dcvv+AVuD4fd42Nj5Nstvt2e1yhoP4e9eN720Wq/3moD/spyjftZZ3EFbwLKyuznG9g87u8D2H5tI5WLz3i0HfxR+WgX/wgem11OH7+maxNxLRtrkUlo7qWtdC17p79aP/PndRKCNwPZmO+MHzY86nEUJm7LIN2eqe3foeoWqmswnTyQDXc6k7zc39PRfXS+qmYzBIGKaRCdAsKi4ur7m737A4NxekYylpGm2bVg6LruO5nD15yuL4De/fvLXcdeME+P7te+s85vDyo4/wQ9cs2Achd0PdNFRVzXQ6I4kTpNXHIYw9cxgGtJb+ttnsuF8u6aSiU5DnOfv9Dq0lYRDguyNc4bC/v+Pyq5bl9Xve+C675S2b9YrV1QWqqczGoUF3HZ7rM5lND5EaSmuatkN3iqrMKMsKraFpJVmWG7puEON4IVE6Ih6MjGuo6xr+dtOYxR+jKhRKEnmCaewZGqqv8Z0Qz42Jk5goMYHLWkDbtbR1g9bg+mb64Li2uRb99FsfJtNZlnF7fc1mvbYbiKauatAK3zdTnSQKKMqaJI5Ircuo77n4nqHi9Nentu5kSiuUNNdYlufcfLjk7vaWrjETRakUotNo6/RqtJc5m/XKIv0daTpEYezqizwnjkLGk1NrOBP0Qg+LvIqD5kNpddgs67Li6uqW25t74ihmt9tRlQWr5RKpNIv/H3f/tSRLlqVpYt9WrmrczOmhESeSVWVVZVZV9/RgpKd7ZAbzAhDgEQfPAIEAN90YSLOqyqnKShY8DnFqVE256t64WFvV/GQ3oi8G04NME4k4xN3tuJuprr3Wv35ydsbl9TPmiwVhFAgiixq2AXXd8P79Bx7uH3AcRRwF+L4r+p9aKERBUJMXQi3+Y3u0VUZrCdFGm2EoE0BMaOCuH8ivdrMntFVrXz3ECJ0AK8d16bW9Tt9KqRM1X2pXv2vko/8bbYao2h4360fHvibK7y3Fx/4cBkNrB05twHM0l7OYHz+bczFyUG1FbWqOuz3vv3tLWdS8fP0Jl9fXltLe8uHDLe/f3aAUPHt2zXw2oWmE2nd3v+H97QPPXpdPqFX9IWepY3Zz6roey9UZ6eHAdrPDaIPvehjgw3dvqauan/7Fn/HDn/xkoIw6Vntc1TVdq4ctth/4mE6RjBImkzHj0Qjf2+J7LqMkoW4bjnluXzMZzMuiIPA8zuZz5rMZxsDm8ZG7d2vytuZrLSDZbrvm9u231NlRMmWR9yhIJrx+9ZrL83McJc1yWVZUxZH7hwehjSUxWXZkm5VkdUc0CfEnC4LpEqIEzzY2rQbTnszKJIzbIQ5dIhdc0+A7htl4zGoxYjQZg2eNatqWts6piyNt15FM5sxXl8SjGdoou22xVEKjcD2PrtGUeU6623DY7yiKXM5Fz5N7uipRpiMKHM5WMzBiEjKejInjWDLaendRey3pVtybiyxlt32UrLP0iDFGtDG9Fq5tGY1idNdxf//Ir3/191RVzo9+/GMW1pyhtdR5x3UI4wlxkhDFCX4QylCn1KAb1p04uQq99Mj93R3v3n5HludSj45H2S5UNY7jslpNmU7nTKdC21eOa4PdhRXQtpq721tubm+p60ZcUI3B2I81FnhLDwcmkz8+fbZybN6nzdvsBzdjew/HE3+EMIzFpdsL8PyTsY1S7kdDnf1iBgMaIzrpoS9D2fg1aTd/X1/dx7AN7qzyWcOKYVg2nP5i0P72FH/dyOD4PIKf/ekLrmc11f6erqtko3g4cPfhLYHr8IOf/JT5bErdNNzcrfn159+R5QU/+9nPubpYsd+teff+lvcfHjkcG7QWx1+MmIF0XSusLgvg9oyR0XjM6mzFu3fvUYBnN49f/OZzXBz+2//+X3J+cT6AFk1dYYyhKsVV9Oz8guPhQBjFNG1HekxloLHxV74vEqv9IeXb795S1Q1GK4rjgXy/4dmP/5TxMqSra0aTMZsvf8nbb77BqzM+//u/IfYdyqqh2j/iFHuOhfSWRkuc14sXL3n95lNGgUfXlBzqltwapB2OheihvYiHXcqxrPEnDl4ozAPluri9V4k1ROr9TAxyPoWOYRzK0GjaGi+IWCwWjOZLXNejtTKdphIt+ng8IZ7O8aIRON6Ta8JGijW11LjNw0CF75rWMg+1pUMbTNdZ1oDh+fUlcTLC9VzCKCGIYgE97ZDYPWE2oiUnO98+8O7bb9nev2M8mZKMJyLTsssbMDSN0EU32yNKOQJQXpxRNy3H3SN5nuO5DvPlGZP5ijC2C4B+qYE53UO6E/PF457bD+/47tu3bDY7zs7PybOMqq5omwbf9ZjN5iyXSybTCUEQPsmFlVeqqRu+++Yt9/ePck/aXkUo+61cQ0Yi+FaL7691309DtTcwWB6t5atrrUFpscVunqA/zhMesf1a11LcUOAoO0Q6jtUXuijXxbNUV/mYSx/i2jeyYvpiM6mMaA2NccCGm/cbPBkS7X9K4SpAueCCYzQuDo5xiQKXyTimqSs+3Ozxih1OtkXne0ah4vLigsVigu8J0lA0Je/e33P7sKVqRXdhtOHhYcNX337gt1++5/Zhz9VuT93UBG4gOXUK2XLZ4tZ2HW2jmUynvHj1ipv3t6SHI77nEoeiE7y7u+U3v/o148mU88tLlOtKxENdYbTBcz1LIazwg4Cqqq3uxOd8tSDLM7JCaEx+GFFWFViKWFXk3Lx/y+sf/JDx4gyUQ5TEXD5/znfLFe+/XnPz7Zcct480bUtZZKiuD0qWQ2I6m3J+tgLdiuOSEiqV52jqssE4PtF4hheuaTpD22l812e2PGe2XOFEsWxq7Kat61o7DDngGLFqdg2zSDEOHJLQJ/BdfN/Dj2x2JUKfqkvJQvTDWIwXhkFRzj+tO6Fo1hUP94+8ffuW/WZLHAXMpmOiKJTQ5yKn6zSr2Zjnl0t0p5kkIWEYWrqJNwAeQnuQTdxAd+5adrsDd7d3lEXBfDbH91zqqqQqc8pagqiDMGA0TvADD2MMrjIYa+0OortdLAUEiJNk0OoMWTqmG5buA8JmtaU3tw/86lefc3//QJKMWMznNG2N5wc8v7ri+vqZ3SYOZD/ss4BStF3HdrensprGURLjOg5ZXZMVJVob/KDmeDyy222/t6j8IT56fesAhtm/l82fxrQ1TVfT9NRR1Zs7uB+BaHA6LF1bzzxrruW4Dp414Rr+Pft8/VYT7LLXnH4dtEDWYc6YU+A0likxWM9rjVaKFsBoxqHHPAmo0j3fZA9MPU1gGnYPtzRFxicvn/H6k9eigy4K3r37wN/9zS+4u3/E8zymsykow3a759u3t3z99o7bhx3r7U5MxlyHtq2B7vRaGSyq3BEnIy6vn/F4/8hmvUNhhH3Rttx/uEUph7PzCyazGcpx6dqWLMtRjstsNufV69fc3d7QtS1lLgHaruMQxxFJHOJ4LlfXV3hRJPpOoNNiSPXl737H1YsX/Omf/xl+EHD97IpP3nzK7uGWLN1RFTnb2w+0dSkbxa5DIUY0RnlcP3/Jn//sZ4RRQJ5lJFGAaRsOuw1ZXhIkIzwVkx4LWsfF+D7BeML07IpgNEX5oQX6hD3TKfue2tgpz3PxXYWnGiKnY5J4zGYRcRLjeq4AaG1NV+W0ZUbblPjBmPFsRZhMMcqhbmraphL5AC2trqmLjMNuzfr+jv1ugzaGKEqIJ1OUcijKivl0xA/fPCcvKn782XPCwMFz1eCu3GtHZYMjrIKmrqjyI7vNAw93t+wPB3A8RqOxSBusA7SjFOOJOFHPV0uyLGc6HeE6DOwgoyWrLIxC4mRsAUQZUPtte3+ta+tk3rY1dVXy+HDP+vERAxz2e+IoJPADknjEfL4Qp+rRGN+TLY5sJwVw7pqGIq+4ubm1TpJC11WOS6Mb6ralahq8Qlgek3HyX6T+/Jd8xKPJQN+02Aq9nKgfwNqmGTYXgzzDcazLvfsxC8P18HpqvPWJUMM1pAa2gFz6yjqrSu3sI4n6Xq831xHNYk9rhV7W1INSpn8uPHHBNxVx7PHz1xNeLzwe7r+lynNCH1RbcTxsmE4nvHz5nPEopioKDvs9//jrz/nmvdS6588vabuW/X7Ph/s9b2927I8t59++5786FgRRQFNVKMD3PNGIP5FDRVHE+cUl09mM9eMaz8actW3Lb371a5Tn8C//5b9kfraktbrNputIooizq+d4joPmA0EQkhcFWZYTRdFgajMaJawuzqmqikN6FDqv7sjTHV/8w9+y+uQHrJ69wg1DXG/Bsx/8hK+//oo239Oub/jF/+v/jlE+TnmErhFyktY0uLz85A1/9U/+Gs/32W+35K7CU1ryFRUciwY/GqP8iF2a0ekOxwsI4pFQhJWDoxyMgwCnA/NPziUXQ+gaEr+VHPPAY7qYkVhjss5ourqmKnKqLEN7AWEyxgsisLq/IbO9bambmvKwYbvZkO3WlGWBsb1S12/mrOHh5cU5n75+gdE1FwuJ4nA9bzCG691pO5tn3WujmyJnt77n5tsvyQ4ps9WKi8trHNfluN1QZtngEKwch+l8SjxZEI3GHPYbdFfZ/rMmSRImizNG0xleEEpPqXoSUs+k7O89cTZ9vLvlw7t3PD6uybOSqqplDjCaUZKwXC6Zz2fESWJlAn0El9zPYsxY8PiwpqprHMeTWcQYmqalKCuqqqFtFZvNjuP57HvrxvcOi1p3QjmwB5xjC4z0qnYz2FOojA23tCvcwQnLrqH7DWAPrzuOPRgsRSEIAqF+BQF+EAwbyn6rQs8f7gvG4MI6kFutBs42UUo2VY4V1/qOIfQUvnJx0ew3Gx7eHemyHWNTcj1yeLGMub5csJiPZVDUMnm/v3ngN198y+M2xXMdDseCtx8e+XB3z2+/fMft/Z6sqHn34Z40zZi5ym4Ybb6agiG6Q3eEgcfV9TPmqxW73YFAeYxGMS5QVhWbxwfubj5I+HAUUzctnTZEkaB8nVHU9ZqmaTgcS9KsYD6ZEEUhF2dLvCDi2avXdLj8/a8/593NvdzIpuXx7pa7m1sIEgkLdRwmsyU/+rOfkaUHdg8fyA5beX8tOoNy8MKY1eqcl28+Y3lxRt1UlFlDXRaYriEKPUzXonHxoxFeEIs+odN4QcT87IJwNKE1zrCRHOjEsj9FIZrSxFdMI49R5BMHCI3TtRtuJFy6LCvSQ4byfEZTMbpBOQNNs3cALcuch7s73r/7QFNXrFZLzs4WxKGPUlCXBa6jKIqSOFKs5lOOx4LJfMpolNjGiSFOwSCU1qZtqeuGsizZbjY8rtcErs+rVy9ZLuZ4nsvm8ZF3335Nmh4IfI84iUiSCNeZ4rgOyXhCGIV4njccvIPm0rMc9qeUbdPngp70wLrt2Kw3/OpXv+PzL76ha1uKosJxXZbTpbjGnl+Iq6Q9dMWIot+8InQk1w43CuIoZDxKZItQVOR5BQriyKfISw6HP77N4lOk3KF/2WUQk/LT63g0nUFiUuxQOGhnBmBMWWMt99QwqROK7tr32vM8HMcbaEwyyJ/AjlMDd8oZ6xFDpyd79Ftm+W7lvkKDbkl8xSLwUOWBDw8bbsqUxNUENMQOvHl1zatXr5hMJpRVyX674e//l3/gt59/RVF3JK5PVlS8v3nkN7/7iq++veNunZFmBfcPG4qqEiMtLWZZffRLfxZ0NqN1vlhyef2Mmw+3VEWJ5zq4XoTWBbvHNR/evef5q1cEkU9Ri036fL5kNpujlGKzXlPmOdvNnvXDAxjXRsS4XJ+d8embT8mqRgwCTAcauqbi7uY9v/qHXzJdLFicrVCuy49+/CNMW/N3//7f8eHdd6A7PAwusvEwykHhsry45s9/9peszlZidlKVYFo816FIU9pOE/ohjtK4QYhyfXB8gmTMaDYVpN2RqtZ2vQrrRNN1HYXvKgLXEPswHfnMJx6jOMDzHLsFE/e9ujhSFRkYRTJZEk+WuH4k5lN1QVdn6KaiLlIO2wcOux3Hw4GmaSXeJx4RxSMc15PBFYeXz6+ZjUfUTcPl1SVxJJsSkHPf0R26FY1iU9W0bc3xsGf7eM/D/R1FURJEMbPlOdP5HN11fLj5QJqmLOYzxrMZYRCSjEacaWOprRGOA22rUY4iGY0kIzaMrQPgky2VbaCkjos1fG/i9fCw5pjm+GFAdszJxwWTqxmXV1dMpzOCILJUK+uS2bW2CdRUlcQq9RsBR4m5mee65J24LvamL/kxZ7/f/5csQ/9FHkW6p+c0PKV8KvroMhfP9RG0/TSw99S4tpcMGTOcIwpszbPUVM/HdX0cX2iuXhBYV1P/FCH0JEpNmtxeJ8agd5Oer/+YGVgWfZE0Wsw7IlPxerXiPNF8+OIf2T2+RXUdSQCzxOf55YLryzP8wKcqc3a7HV9//ZZf/PK3bI8148SnrEu+fffIV1/f8ovf3XJzuyOvof27X/Iv/4cNz65X1itC+ibRiyMNftcRex6L5ZLLq0s+vHsHWhOFAU4SkRc5n//mc37w2Q9YnK1E15sdMcrhbLkiikeDBr6uK3bbLfkxY/5iOdSMyXTC608/RRvDv/63f4tZr+UQ0A13333Ju89/Q5yMab0A1/W4/PSH/Py/+e/47b/71xwf3lMcDjieh2cMHUY0mMrl1Wc/4f/wL/47RpMZu/0Op5OcWYXGdxziMKDGIZ4uqJqGNMswRgubKwhs362GBY9L706qhkHaQxO6mtjVxGHAdDYiHo/BaojbpqbKjhTpQWInFhO8KAblipbWUkvbuqbODhwOO7LtI3lhddiRUNeVUmIaWZUoVYPjMI4S/vov/5yz+Yj5JBJHZQtsdk3zxMRPWAxt01JlKY93H7h//xZwef3ZD1k8e4XneuwfH9hsdjR5ymQ2wfOE0p2MJ4SjGX4QYZSwslzPY7q6YD6f4ydjfF+cY1H95v3Uy3V2KVTmR5kB7u9Yr9ekx5ymbcGA53pEScTZasV0Mh3upx74MXY2Er2jMML8wLdJEHJ/t21LVggrsmk7tHE5pJmAf9/z+N5hsTrunwxjloY66GKkAeqpUf3H4YQAcPqIHQhOvW8/cKIEpSqto50b+PhBiOeLo6XqUXg7mJ6oD0JxEGaeGW6oPki2n7Idowkch1niMYs9QleyobabnMNuR5enjCcu52crnl1NmY9DPM+xXN6M27tH/uEfv+Cbd/ekZUccKu43R/7D//I5tw9r7jdHqlpu8ru7NZv1hskkRnetbRZ72pgR290iR40S5vM5L1++5O7DDS6aJAqJAp+g8FEYjvsdVVHg+YHQV10X1w9QjtC4Dukez3W5uduSpSnzyZQsy2maljB2mc7mLM6v+K/+2T/ji6++ocgy/MAnz1I2my2T8xLH7QjjmMCPePOTvwAc/vEX/4Fs+4AycuPgOESTOZ/88Mf88E/+hMVqRau1xIg0BVlWoLVmPhnhuYiLIA5dB3XViAEIRkKwtabRGm2soL7TtIN+QQ5uD80o9JiOApLYJ3AMjmuREksRy/OC9XpDWTWcP3tOlIwYzISMASN5gsc04/7uls3jA0Hg8/LFJ8zmczxX0bW1zWbSbA8ZD49b8qJmuz/Sti2L2ZRRHFlKscRs9FuTumo4HI8cDin7/YGqLJhOpnz22afMl0tr7+7g7Hfs9gfu7h5J4pA4jvA9F+N1eCpgyAlVCt8PCIKTy9uJja0GxNcYGVSNPZibpmW9XvPVl9/w3XdvKYqSJI6YzmYsrXvqZDoZ4kNAW4MKMYoCrEFLi+v6XF5eMBrFOBKyRFFUFGVF3bR4ntz3bddRFOX3FpU/xEdxPErNsvrmp3VN9aip3fQpBTjWadfWGpyBaDrUSaVOrIqe8iu4myPFe9D89NtGu8HmqcvgaSsyMCjsBtS1OY6yUXdtXBBETsfZxONyFpGohiotqNqCrq1sdqrHy09f8ubT14zGI7qu5bDf8/7te969/cAhLWg6RdUpfvP5W3775Ttubh/YHivKWoxJ7h/W5FnGJAnF4+ajfbWhbRuqqsJ1XaIw5OLykulszmN1L25sno+jFFXdsH64Jz8eCUI57KM4IhnFeJ6H0R1VkVHFAfv9jrzI8d2I/W5HXdfMl0tWF+eMW8PF1TWff/EN2hoFtbpkt1mT5zlROcYLAharM/7rf/4vWCxX/M//+l/x4ZtvME0pR5ESK/urZy/5s5//FS9evSLLM7bbLV3b8PhwL3E5rkfke4APumGz25GVpdD/EVOepioxGlpjaDoxt3naoLuOwncUiWdYjjzOZjAZifa0z2Jrm4quKSizPUWWE46XjGdL/GiMcVzJJSxT8sOG7LAm3a1Fg+16zBZLJvMzaUIt5TBPU46HlNu7e3bbA0VZMh6PePHihaUcisGBbPJqdCsRTkWWcdjvebSbSsfxuLx+yfn1FZPZEg3c3t7y8LjlsN8RRiFLY9kXdW1pYRG994DveYRRKLTTMMT1To6jp+u+E2t7u23IsoymLknTI4+PW4qyxrUa9bOzc16+fMV8Npft5ADQCpunacRFvakbqqrBcVyePbvm+fUV97f3xFFI12mKsqJpmiG3Vhr6Pz59dpnubFPiDEDWULOc3pdCTGUGOZFywEqNMCenZ6NPzvSdBcSNMUMv1gNnyvWkaQ0iojAiiAQU7ePMeuqgbJCtFtFuisTgyre0PWdgIgm4bBh5LZ+cTflk5fHh3efcvv8Oj5okDAiTgMuLMy4vlwSBR11XHA9HPtzc8ot//JzvPjzQGEVRw7//21/xj//g8PC44WFX0XRy5r7/cMf9w4bnz1ai1XTl+xDgWICMpq5RKKI44fLyitlsRp4e8FxFGEVMx2MeNnvu7h74uReIi7sRyq8XSBZpmefc33wgSyfc3N5QNx2u65HlJW2riZMR88WSq2fX/I//4/+R/+l/+r+S5QVKuTRlxvbxnio/0gaxvG6Oyyd/+hfMzy74/O/+Dd9+/htMsaOPKXLDmNc//Cl/+V//N0TjKXm6o8gLaFtAzpo4DEQ/7Pg4rs9u80BRlvIcnofj+fZAfEoblsdJv67xjMFXhmngMJuNiZIYpcS8qmsqimNKuXskS1M8R8nG0o/AGGt2o2nKnONhR759oCiOdB1iFDSa4EcRSom7Z1NXtIFPlmXc3tzx+Rd/S17WXF+dkYTidq6Noa1r6UO1BTe7jq7OOez2bO7esdsdmM/PePWDnzJbnoErbLGu+cDtzS00DfEoEZ8VW2e6/IjftsTJhHi6YDyZEk6mxGGI6msT9EMRBquTbiqbu52y36x5fLhnvzuIdrpu8TyX0XjEbLFgPp8K7d/tpQKnxV3fO8iipMD1XD755DVfff4taZqhjfTP6bGgrCS70/cca3STfW/d+N5hsc6OYkrQbwk5DT6mR4OQLCkcyd9R1rGxn2KHTMO+mRiuKEGJUBJCLYYMzjDo9fQ/x/NPFK0ele+pYo4DCEog1Fb5uMRouOJ+CkRxyCwZcb2c4KFJD4YUjYdhlAQ8v5xzdbEgSURI3LUdx/2em/cfeNik7HdHyqrD80JQirzqeH+/Zb3LKCpN08g2Nc8zdrsdz+pzK9p3+p9UXiejrb6iY7FY8uLVSz68e8f2/g5HyZvmJgFtq8mPEsK+iGIcO3f3hhJdJ3rArun4+pt3HLOSshQb9KquUUVJ1bQEYcRf/fU/4f/9b/4tv/7lr4QSVZWk+y11VRCEYHRA24IbBnzy458SjSa8/fK33L37muywxXU8Ll+84od/9hecX15ijKYucnr79Kqq2e9Ti6L5eA64aPIsp6kbHAxdXXNMU1Q0ocHB9eRa6Q+IfmBCd/iOZjEKmSdi72swdIbhZs6OOfcPa3a7A7PlkjgenwZFRJuYHVN22y2HfUrbNFxfX3N5eU4yEidTsWqHWms2uwO/++I73n64p6o72lYzHoupRRQF8pz9gdgZsqzg/uGR+wcxoRmPR7x+9YoXL54znU1EH9pBVRR89813fPnVN+y3O6aThPlsSug7NI0i1BCPFL4vTVMYReJ66/Sb8RO6LponawzgOBhLlXn39h33t5JhVxYlnqs4O1vw6vVL0ZXGQmFxBpRGqIFd1w1b+bIsMCVMJlM+/fQTfvDZp3zz9bfs9gfSY0bVtBiDNSmQpq6q6u8tKn+IjzYX8w+syQwIIGZUb5Yk70vvAoijB9oq/QFgH4OKRZ2gNod+GwlDDi3Qax0HdN9xTpsVZQ3IDcNWfQDEbAPXo5qu64PnEXkOz1Yjfv7mklXssLt9x7bNiXzoOgejPJ5frHj1/Jokiamqmt1mzRe/+5y7uwcwiq6VmqZczddvH9ilR6pWYyzK6+CQZjn7w4Hrq7MnkgD5+UVrWJMdj4RhSBhGTGdzLi4vyNI9gS/DQhj6eFVFmWccDweW52dEUYTfSU3XXUNd5KTpgSRJ+Oabd9zcbRiNpvhehRWq02lDMh7x4z/5Cb/4xd+z3x160pvk9zUtVdPRmhbHKQmjmBdvfsw/NS6/mfyCd19/Tl3khFHM6zc/5Od//U+YL5Ycbd5enudk2ZG2aUjimPlsjo5CmrZlv33ki6++YZ8eqbuOwzFnvdsz9kb4sbHXhmx8++w4ZQk2LpppBJdzj/nIwXMNXWfouhrTNdR1TnFM2e/WGCfgbLYkGS9QrkdVlVTZnipds3+8IT3sJLLk4ppksiAZzQjiEZJVVgNHtD7w7ddv+Ydf/Y71ZkfTtrx585qf/dVfiZmNlYMoC2yWZUF2kFq6fnykripmiyXXz1+xurgiSmQQ3e/3fHh/w4cPt7RtxSpfSMyVlnxcjCEOY2H4+D5RLFohz/NwPEu97odE3Q8i4nxalTmHw47t+hHdNmzWGwHoqoaLy4RXrz/hk0/eMJ3NByaS7oHknsJqLetl8HOYLRa8fPmCT998QrZPaZqOPBfgs+k0SRAQhSEKQ1VV/1uVnP/dHsbKHpTty7r+xuUEiJ34n6ehTznOQMF3bL/mWCZETx/tAbGBEGNAG3Gyb6oSOHCgB01snzhslM3Q8Eqpk/7R8wPCKCYeT4jHY/wgxPUcIgemo5ifvRzxYhnz3W9+yf3te0ZxxDJJGCURz5Yx5yth+rRNQ55l3Hy45x9/+Tnfvn+k0UhUGYq3N2vapqXVHVo7Q89a1+IYKcY+4FoDETHhqigLMUPqdIvr+SzPVlxcXnJTl1Yn7Ehk2f7I+nFNUzdMl0uCeIRrX9euLrl9/x0P778l/uzHfPXll1R1y3aX0rQdddMSBKG8co7DP/9v/zn/5t/+e/7+H34pb1fXkR+P6Kams5pU7Th0ymGyuuAv//n/QDhZ8e3f/ivauiQMAl796E/4i3/2L/CDgOPxSFtKtq/urGmgo4jCENcPqFpNVeY8PDzQ1LU9vyyQ3XXyWvVnIz0rZiAW4tIxCl2uzibMp2McV/q9qmpp0jWH3YZqv6PWhsXqnHg0RivXRuW11PmRdLcmT/d0XUMQRITTM5JkjApC24+2uI1sE5VuKYsNX/zuS3792y+pG43uan760z+1QJDkF4OVQ7XyPhb7NdvtBtNqfvDjP+f65We40ZjOGNACOG0fHvjw/g7X9Ti7uiAMLQhflGhzJBpPmMyWzBaSjev44WD4dHp9sNtEYTpURcox3bN9fGD9+MgxTWnbVszujGY2W/L8+TPOz1ZEcST0b7uMOj2hlbs1DdkxJTvmTKZzXrx+xfXzZxRffE1etqRZwbGoMFqLDtaCNkX+/bXu+zWLWKMQZR39jLE6m9NnmL5Q9A48/WBoqasSifD0J+rrghlocYICYs0F+itMGqWehto/j8ye0kDJ6tU+p+o58LbIKIUL+K7D2WLGLHjN+TjAoMnzI3WRkwSKZ4sFz8/GhK6EAxdVw/GQsn64ozgemY0SLpdTJnFAZ2pm04Sz5YymaoTwaoxFj0LOFhO6uqQscnGwGih/2moYRX+YZTmz+YLl6oLXn35KXWSIDq+VtXTXsttuOR5zXkUjlDbotrGvk2gmZ9MpxzTn62++Iz1m7NOU9TYiCsVmvSgqsqIgCEOWS8lw6doaozqKXKzhHS+grms816VtarpOM5otOL9+zu27b6irGj+UQb2qau7vH+X71B1lVVPXjZhRVDUHBVXl4jsKx2j2+wNd02C6jrosOGw3qGiMdgNxAvMtZ9t0mIFtqYl9xdk0ZBwqHLSlEhmqoma73XF398B+nxKPRszmCwmptpsgow3ZMWO7lm1CGAZcP7tkMZ8ThrKx1VqjZXqiKCrW6x3p4QhG0P4WmE4nXJyf4Six6u4HzEN65O7+kcdHCVK9urrkxYtnLFdLgjAYQo6L7MhvfvUbfvkP/8h6vaNtGkaJGcAMMLie0BZG05mliLlWHzws6D86s3tdR5Zl3H74wNu3bzkeDkRhxNlyycPDBtO1/PjHn/HJJy9JkhjPf5IFOSC3gv4KKNLy8PAAymE0mnB+fsaPf/RDvv36W27v1zY2o8NxxfAmjkJcRxD3P7aHQrb3uK5lLBgZFrHbQRgoNT1g9lRr0H98+BAyHA5xQ/3fK4Nja+Twvjw5ROgPYdV/1ROg7fe+Y+U4YipgwTSjXNrAxVn4LEchXpOR7x5psgOx7zCdRIyjCc+vzpmMErq2Zbt+4Le/+hW7zYaz80vK54avvvkAqiWZjCjrFq2h01LrHaWs4ZNHdrTalR4sVT3tSNPUEgKfxInEzkQRi9WKu5sP+K4iDHxbGzvqouB4OOA5Hsp3cB3Jk+wsvUsphzyv+bu//xUf7jZM54Y4DBknEVVdk6ZHEhyurq6YzmYc9nv7GkPXiLGVE40wymG92csZpRReNOLFm8/Yb9asi1LAANeh6ToOaUpR5BgjWqS6rqwrcEfTtqhaooIeHjfsDwc6G1XR6Y6iKCDLCZU/oMn2GLPxIgplDKEHq7HPcuTiuZpW9+h2SZ2Llf5ut6UzcPn8iunqiiAeU7ctdZFy3D2yf/hAU+ZM50sW59fEowXKDQVg07LhbTsxYyjzQoyv8oKm7tBgt7ijIZpJjEMk6Hm7WbNdbyjzgiDwefbiORfXLxhN5rhegDaaqsi4v3nP119+wfpxDcqQprlk1Vo3ZaVkG+MHoXUfTPD8EMe1zCQxIxAJSydGO1VVkGdHtrsN93d3ZNmR6XiM63k0rcbzfV69es2nn75hNJmeXMOfUKH74aNpW7a7Pfv9gcViSRAEBH7IYjGnblryfDtQXFGGIAiIolC+//aPLyZIqd4E48QGGx7G/j3K9v4njoXRho4OpbTUL0do2/1m6cQ+e/qc6tT2Pdl8nFhAH++jPv5upEq2VUldZBRZSnQQ+mIQhqjAJR6vuJ6GbG/esb79wPl8wmQUE5qS0SgUeY8r2YRVUXJ398DvPv8SjeLNm0/AuyPOGuaLGVVV8eH2gbKqrNm4wUERWFOorutzQq0cy0asFLlsvutSmu0kGXF2ecFhu8ZRBlcpolDOz/1ux26/Z352JuZoSjS1x8OGu/fvefb8GZPpnK++fkdZd9w9bOh0h+97GKU4pCnhZkunJc5LOa7kAGMojke6ukG7Fgy2WJWjFL5yuHr1CXe//RvW6R7f95lOpnRaU6appWpL3TUG21M58v66Hlle8PjwyGGzEeaGkiujrhtUUMtcoN3TpWCemBwph9DtOJ9PuViNCTwHrRvaquC4P5Ctb0gPe0xT4Y/nROMpri/OymKslpJt15RFhusoxotzprMl3mgug5/Wg16dTmaIKst4uLvleDiQRAG+J/1XHMeWitnIqKFtNmt+EOp+WTKZLLh6+QMW59fghKes47ok3T7yzdff8bDe43oRx6xgMpnYHr+l02qIyIvHY9wgtO6kwzJR/tOSPVoVGXl2JN1v2G7WbB4fybIM3/MYj8eS/x14fPrmJS9ePjsNiu7JbJGeemq3m9kxZb1eU5U1STJhsZxwfn7OV19+LfFqZUXTdLiuQxiGTCcj4igYmHv/3x7fOyziSYOt7LpUgKOhMxioC71o/1QwepCpf3nUx1Vg6Kb6pPT+f/3nGmtmaQu+NsPXGHXirSuFbD77sjIULvk3lDZUyhDQsF/H7GLJIdtvd6i24nox5uX5lEkEpqkp65Yiy9hvN9RVyXiUMBqPmR9yLpdTZjN48+lzri5WHPZH4tBjm2YEvs/F2ZLP3rwmDl3qssR1kwEt1ZYP3TfsQgFUBFHE2fkF9/M5dZ4Or4AGOdj3B5Ry8FxHHA5bceJyPY/l2Rnb/Te8ff+eRhu2xwzuFPPZFPyINE057HfkZcPhkNIZO2yj0I24iNZ1S6dLW7CEnug6iqYRPZ7RrThC1ZKzQ5qhHGxYu7wl/TZMa6jrjk5paBvKsrKoiB3Ci5ywKNGuNZBA7LWNwVoWg69gEvlMYx9faZR1dWyqhseHNe8+3JIeMuIk5vz8nMlsKsOkFtpKbbNnHNdjtVoxnU4ZTcTKWm5WjWkbMIaqqnm4f2Sz3jBOQhbzCVlesdmnrJYzRqN4MN9ptSY9pKzXG/I8l2Hy4oLr6yvG48Q6u4qmoyxyvvvmK37761+xXa/pw91BtDGO42B0hx/4jMZjwig+uWLZK1n3myX6LZIEcd/f3fP2u+9Yr9eEQcjLFy+YTadUZcl2uyNJQn78wx8wm01EF6ak6GN1b5K1VtK2LY5SEmy93RCPJrK9dxyWZys0ijQr7e1pCEOPOI4IowDHdezh9Mf1UK77MZ1mYKGehkVrJm//Xn30sYFeb07N1YB7cfpYX8M+KvT9P6UY6urpaOmvBXP6O4OguFr0idpep0Ypgs4lP+x4vL/DbzLKY4rTVozimPNpwnw6ZjZK0F3Dfpvy9ZdfsVlvefbsGa9evULjsJiOePF8xp/8yU8o6obfffk1j5sDrRY6+WSc8PzZJbQtTdXYfCZBOXXXShxQWZLu9hZkdPC8gPFkwngyAd0QBB5tq/Fah6Kq2O32aC0ROFo3lrGoSJIxl5fX3Nw98vbdexqtrVjfISGirmu2mw2HY8axbIijeNg2Kkde5zwvMfsDyvWEMqQUjifOgr4foQ3iEArst1se7m4Zz+YoJE8tSka4vk8yki2Z50v+n1BtG8lPxAG6AcjURmImHOWAI9tYZc9JoSHDLPY4nwaMQwO6oqkLijzjsHnksN5Q1aVQZy+fc/H8U4J4LjTwdM9hc8du/YhSPhcvfsji/IogmaCNK9EZTUNXFUK/rAqKLGW7WaPbhsV0zDgRo7HnVxeEgY9CgLFeM7Pf70gPKSjF6uKCs4sLFssVfpQgaLxoq7Jjyu3NB7bbDWVZ0mnN8ZjTdiJlartOzJ48Dz8MZSvkejiuDBsYZWNjDF3X0DYSy7HbbdntdqTpgbquWS2XrM5WJIeM5XKOUoo3bz5lvlwIRdF5st03fGTUkqYH7u7vqcqKxXI5zC9hFFJ3EgugtdTKOAoIwpN+U0wy/rgejh88KUy/Nyw+GfyeZsSaoVD1he73n/X3//5Jz2efQ95viRUzSn08LJr/xPM8GS67tkPrkqZpKIscPwgonY6zxOH+fcPDu68ZxyGrSYhC4yuPJJLYKqM1VdvxcP/I119+w3w+46//6Y942GaSJZu4/OzPfkIUhXzx9VvevntHVohbuu96zKcJSejRaY2vgoFd0rUygDaNuMoWuZiseL7PfLEgGSU2A88lCAV0yvOMx7t7Xn3yCb4fCiDdNhyPGYuzc148f85vPv+G9zcPdMZQ1DVaG5TrkhcVd3cP0hNpxTHL7Rkk53FdldR5jvGCU0qABR81Qun1g4i67airivSw57jfWRlD31M/lXKdcnqLspRBoyjkGlIK02lxWXZjq9G24LTq2YXKxjvBPHJ5eblgFBnQQi3Pt/esHx4odmuatiGKYkYzGRYVSkxsjgfSw4GurolGU6azBeF0hR+EGBsNpWigswBvJ/mND3c37B4fWEwiFtOE9WbHZJwwGo+kp+tadCOGMXVZUJclnuexfPkZZxfPCMcroM+UtxFl+ZHt/R2bh0eqsqZzDOkx5woHxxFgw/V8pvMV4+lS3l/nqZ7QGtRpTduU5HlGdthw2O9J91v2e6l1yUgMCh3X4/b2huvrM/70T38sfZ2NjRpuLiOMxa5tqcqC9LBjv99zPB7BeFZj65GMEzSavKyoawETPNdhNomZTcd4rkPTfj9j7HuHRccPEOxPkNCPysrTpuajYdH+BH2BGO78J0VH5kHEOskMH1HGGT6zx9ONOWFbgvQ8ba7U0z/JJmCYuDSGDuUYgsAH3XLYbSUrp66YxgHn8xHjQGGaitw6zlVFjsJwtlqRxAFpVrLe7um6juV8wYvrS64ulpjLFeerGftUQkWXi7kEpyNxEMloZJGLXicmb5DvuWLuY11fwygiSUbousSRpRNOB51u5eKpKrwwpG0amqbCUQ5hEDAeTzhmBZtdisYhKyrariMrKoq6xYsS3CDk5n7N3f09bafFIdYTUbIB4dq3FjXR/ffniItnXUmz451oPJ2RRicI/SEyQH4VFHII2G77nxe0UcNWuOdSq7qxGzYJHO/R5chTLJKA2FOYrhGEuWnY71I2lr6xXM45v1ixWC1wXUdCmtuOTktuTBTFzGYzGW4Cf9jWyaEjTURV1zyut7x7f0PdtFyeL5iMR2x2BzrdMp9NCYJgCLvP84KiKEiSmMViwXgyZjyZEseRHXglu6upaw77PUWWMp/EdJcrbu/WbLfVECXgOQ61dQL0rdXxU/fNYdgwMtwWZcl2vebm/Tse7h/QWnN1ecnz58+YTsXCOT2kxEnMZDrh2fWlXGNKipNpNZ0Wm+SyKMizDGMEZatyyVWLwhBjRL/oeT44Dp0RzZGDxnNd20C5Frz5IxwWPZ+ng6J5MphJhTnVGtX/b0DQFf3O8T/qoU7/gvx/GBTt16qnX2ep/cN20boIKjNUSaFymI8Q/J6hIfXRocqPfPjuWyaeUO3DJGSaRIyTyLoud2zXa25vbjns95yfn/PsxQuU67LZ7um0YbVa8fz5FY7jcHE255gVtE07OJEGUYQyHWVeyoDm2MMahbaaI2kcRGPpeT5hEBKFAboD3/fAaFxXNt2H/U7qZhBQaY1SgnKPxhPOzy/45a8+Jz1m8vzaWBaJ6HkeHh7ROBzygrIqUcpFm06ao1AoSkVe2pgnoVP3iH5V27xBJRTjtq447Hdog9jWhyFBFBFFU8bjybBhEACwsc3EySmyN+9QRoshluue6MdAr2UNPJhbHb2jc6riyHZ9z+PdndXtuCxWS5aX16yevWayvKRuW47bNfvNA1maMp7MWZ0/YzS1hjfKkX/T6m51K+h9cTywubvl8fYWF82bT54zHo+o24bpfEzXlFSVK8NflpFnKbrrWJ2dMZsvmczmxKORjVw4adPatiY97MnzlPEooRgXbPcHsmMmsSJeSN00hIFLGMWEQTTEcRjpcix9rKOpCo7HPelhJyBnnmO0IYkjzs9WTGdzoihBG4fpdMJkMuHy6hLfDywl7lTfBxprXXM4HNhsNjRNI2YjSoABV3lC/Xcdmra14ITBddxTnq7pbNP9x/VQNoZgeJj/1M8oF6wePlMJyPWkfBn6Ps48qYWnL+/rGZzq2cdD5RMQbDj3BtTtP/7e+sFHa8qyInBqQkdz+/4d1CWz+YLA1YBD6PtDpmdVyj397t17Li7O+clPfoxyff7xd9/yuN4wP7smDH3OljPm0wk//OQZeSk0PddxiSKPOHTpmgYnjoeftbOMpjCM8IOAuhENmOO6g3mT7hrRo+MRxyH5thBKd10RhKKVPR4OeH7Ay0/e4LgOv/3dFxwORwwSvaW1oWk1j9s9XnhH3WrqriPLsidHkIDvZVlgXFe2f+ZkXuTa71fZmtx1MlzUZS6a4Z4xqLWl/1qqrTFUdSVDRxDQGxI62I+VJcrJrAzMt5tX71QPHYXnKp6fjVlNIky7p85T9ts16cMNh90O09T4UcR0ecZsdYYXxXRdQ1GKlhED49mK0XxFNJqgvNBeGr07vB4ck6s8ZX33gc3DLYFrOH9xIU7LSMxRGAQYrLaxqqjryj7/GYvFisniSnxC+knDPnfbNpTHA9l+y3QcMx4nbA4Fh4O40gae3C9+GDFbLAmi2Mrk+stdNuldJ710ftxxOOzJ0h1lUdJ1HZPJhNXqjMlkQhRFpOkBP/D59M1rnj27xvW9J6CYGUCxHrTb77bkmXhu+K6LNsIUcRyJfuujMlrbv8VRwGySCMuna2ia7+/rvndYDJLJ6eYefmo9aA37e9n0w2FP03pyg5/aqP7rnzyfneyGLWT/9T0oZYYWakC2PmY4fGyr0B8+avg+NFHkMZuOCHwRp7oYksBlNgqJPaCtqaqcJj9imopxknB2viRJRJPy9u4b3t4+kFc1M6snUrhEccjLFwmXTWMRcR/Pl0iEpq6GZklbR1BjJHdH8sQ80RghrrD+EDQtYnBtHJyi5rDfkR1Tpr5LU1e4jqyNXc+nbjo22z1FVWMch7bTdGVFWTUUdUtjHHZpwYe7B/aHg02UcPHDmGg8RSuXsqzBWpk7SpA/pR2qsqKtG1vLhQ7WlDWdUpKHAxhf7Ic93wbwYgOU7ZYQS2HodRFypvSujt2A2ErvYPAcxTz2WSQejqVBdU1Nnpcc9ymuo3j27JKzswWj8QjlebS6pSk6eb38gGQ0JkkScZZ0pMk+FRO7pq8bdtsd79/dkKZHZrMJZ8s5USg6oMB3iaIQpZQYIjQ1WnfM5lNGyUhef9+3ZiRPRMWdZJCZrmU5nzGJxZm2azv2+wNNLVleQRihXGmefN+Xga6nfyDUMezfHdMDN+8/cHd3R1UWzOczLi7Omc1ndsDTNHXHMcup6oqLq3PGkxGYzr4XYohT1zVFUZIeDuRZJqYjUYjjKFbLpRx0VWlDf1vbKIlOWSQqghD2uWfdH+GwGE0XJ8LDQCc1J2t0bbA7cHjiSnoa0j4Gxz8qUzAMdn3P9LTenT7rKf6mTr8++ayBvj8MnPIHbQyeA0ng4JmWPD0wGQdMRzFJ4DCKQjzPRwPpMeXu9o7jMWN5ds7Z+RnJaMxmveb9+w+4rk8yGttrQTGKY8ZJYoc0ue+VKzT7w+HAaDwiiMTAxHSisY2SEfPVEtf1rWFGryLEOu+6aJtDZoxhv9tRFSVRHNPWNW4oFvyO5+MHEdvNjq7Vg1ao6TqysuH97SPbY0UYhqR5TlnWaCPIuBdGjKYzHM+nbhpMK+YmTVNTFjkYQ77fojvR4Bij6XRLVYhphB8EtLW4cKokIQgDnCCgqVtaqyXph2EZ3vtzSwZF3bWozsX099MTADVwHcaRj+8Yyixl+3DD/e0H6rphtjxndXHF/Eys1oN4QlWXoh28v6PtWs7On3H5/BPC0RyUJ2dM11oaZ0PX1LR1SXk8sL+/5f7DW8o84+xsybMXz4miQEDEuuR4TNFKtoAGIxmFsxnj6UzywBwP7OveN2Vd19JUFeu1aBlfv3rBZDzmN7/7QjRcVc10nBD4Yrg1Hk/EsM5OGabTA5ulrgr2+y2Pj3cc0wNgiKOY0XhEbI1QHHsd7XcHyrLixctXJEki96PR1jFR07QijWibmjRN2azXtE3N2XIuDqn2/XUdjySOhZbGVja+loLqB6LN7v5Ia50bxPaMfjKQ9bRdGBwaMT2L6+R6+lE/aPptFMNvTovJp06nJ+DrVNP+40dPHf797+nURRr6xNqu61hMfRJPc3h44GI+EtmKMfiewnddHBRt03LMRZpyeXnBm09fE0cRb9/f8e13HwDFbDYReUUjjsqr5YJl35di6bamEyr0bCY5icjPGEQRM88TLwrrm+A4iiAMiaKIqsiH6ykIA2uceKCpK/Ii5XgQ8Ha+OiMKA9JDyuPDmrqq0W48vMZ12/K42VE2HZtdal1JC1zXw6BwA9GFl1UpX6s72y/L9++ihPZt7BlmxDG0zDIcXwx7HLfXzzvDOSXu6gUYRZwkuL5v31Pp6pq2haq0/iQt2vdwrRur4xkCpZgmI66WE5y2Ij/uOO4f2W/WFGmKAuLZjNnijNn5BWEyodOGpsqpihLl+sznM5LpEj+KLdAhQDZa3JJ1J8BYXWTsH2/ZPdzioLm8WLFYzGSJEPbgkEuDPcIdlzCeMBqNGU1XRFGC48ogqujdfqWudnXFfv2A0g0//sErcF3+7pe/Y7vbU5QNwciV12g8YTKdo9x+8WVkcWWdV/M8Jd1vOe63lFVOpzVhFDJPliTJiDCMcB2Huq7J725xlOLFy+fESfyE3n0ysSnynP1+x/Eghm+u4xDbeLqylEWVnNnS27VtC3ZZkCQRSSQAWtNpmvb7WRTfOyxOzy/oc3aGUmF6Zz7slqEbqJUyBOjTTT/krJwKT19sntK1FB9pY3nSV9EDe30TZ9lXTwbQHvoXeoPSGtVZ9MNVTEcJs3EiG9K2xfMdRqHPOHDwjEY3DbquURhmsykXlyvmixkGwz7NuFvv2O5SklHC+fnSNvgGrRWOqwh8QVsGG30DTVVTFSVxMhqKput5uCogCCJBgTwPpaRZCsNIqE0Iv93zDJ7nkR4OpPstk+lEjAFsw6eUvPH7w36I6FBKBoPWdLQa6vc33N2vORzFmMGxaFGYjAnjsY21KGmbFgczhIgbB2obFt9vBtq2pSxyydJxHFrPk4BeVxoqP/BxXWWbZOmUJW9JWblqn63VR6zYzYN9ox3HIfAcprHPyIemKsnanK6uRTfpO1wtzpgsFiSjCJQj6FpdUdWaKBkzmc4ZT+R1Upgh5830Aa5dR1PXHNMD93f35FnKYjZhuZgyjv2BJtw39l0nKFzgB4zHY5JkRBD4Q1FF9QOVsUObBF23Xe+aqgcaR9107NOM9WbP5cUZcTIiHo0tfVXT0Z6uZkspSPc7bt6/57Dfk8QRz59fs1wuCINgGFK1MeRFyfv37zFas1zM8X3RCZmuNyCqyIuS9JCSH1OMNkxnE5IkloETccfarB8JQzncQqu3NdoMtth9Nk9jwZE/tsfk4hqQYd30MT39IP8EvexDjPuwcDPQym1jZWvfqZw9GSI4DYPA09LVf+rpc/o/nibD0xc9aZ1OtdkQeg6TyCd0NI7RhL7LdBQT+w6B5wq9vazYbTbstnsWyyXPnr9kNBnR1DXv3t9QVRWvXj7j8nwpABI2g1I54Flakd3QaWVI0wPjw4iZdTXsOo3nh8wXSxzXpS4quQ90H2Gg8a12t+vNyJTieEjJjkdGk7HVxMrGyXUcu7E/oDs9bDSKsqasdjxu97heQJxEtJ2mKmv7cjmE8YjJbIHjepi2Fr0uNboTY4HeOEG3rR0UBRCpq2qgfrmuR5AeCMKQOJaBUSJ6xJ1ZqEcCHGGpMF3X4XQt6BbH+AMaL2+nXB+hC6PQha6SSIr1GmPg+vlLzq6fEY3neGFMi0OZpqSp0Eg91+PF6zecXbzCjyZ0xrGW7438TG1DV1d0dUlTZBx3a9b3N+THlMVywfOXrxhNxmTHA9kxpe0E3FRqRpzEzIOIeDQiiuNh0DfWXKuPT+hB2aos2awlwmm5XJCMRtzeP3A8iiHQajkVStVyRWS1QgKItaChbSVUe7fbsFk/UlYlURQxmUwEgPD94ZoCQ5FlfP3VV9RVxWKxkEw1W4uM7qjrxsb95ByPR7KjbF4WizlJkoARnXp62IMR3ex8NuXOv0dr0azHUShmKF1HWfWb4z+ux+Lq1am+2fML+x6b3ul0ADw6+36JSY2xn3OicMGwNoceCaM34Rr+/PtD40ePpwOi/fMwKNr6Z4dWhXgieA58er2k2D9CVeC5YzrdohUY49mn05RFxTFNmc9nvH71gigMyPOS29t7srLis8/e8PzlM6LAp48w6DdrjsKGucuZ+vDwwHQ6Y7Zc2g2iQxjHOMphMjuw2+2G79frae6BxMJ1XSdO6FqzXm84pge22zWu63H97AXhaExXV7RNPYBhxjkN2E3bUewPbPYHlLoRr4iylCWDHzJdXTFbnomEqNPorjmFyyshyXueh+4a+9oY6qrkuN/IAGh7Uc/3cf3A1neHqqpo2xajELd2PxCKqhGKq+k66FrJXHexUXU2SsNxCAI4X06JVEu+O6C3N2TpnqYqCJKEyWRKMl8yGk/wwgijFHUl+X+u45EszmX48qPTgqprB6CpaxvapqGtS/LDlnS7xqFlebaQuIowIN0fUEqGddd16UCMBcOYMJkQJxM8Pzody6azG10727S16MPXDwSuw2I25pNXz/j27Xv2+yO73ZHJaI7r+cxW54RJLEsrrUU2pzuqquS437LbrSmyDN21Az10NB4TxYmcIyh021DVNZvNljAMWa0WOM6TZYvpqKtS9K/bLUWe4yC0+lGSEMUxQRix3+UUeU6ZF4O/Sp9FGYU+4yTB94Ve3TTiD/B9j+8dFkfzxTDUmf5m7otDPwg+KSqm64Si0gl9QwbJbtAc6u6pJb0ZMnT6Br2nLPTo05DpCKcDt38TzMdD6ZNPRKFxlCGx1IIk8DF1DqYjDAJGniL2wFda3FLDgMksZjWfMJlNUJ5Ca8V+n/H27R1aw6uXL/jk9SsR5xq7ReuNe5QtcJ2mpSMv9lRNJ1u8kSCznufh2dD4tmnsaymFKYpikvGE1hYLyYbSZOmBzXrNi1evCMLQBm+Ku1jfNIpez0AfEttJjkpVC12qaRuUpde4fihBp35g0VdBoDVK7nSj6VwlTZWW4dOzTVtVFkMtlxgBNdj3e56H70tWXBgGeOqUudQBrt2i6K7FGIXRrlwLQwSAInQdYl/h0dLWpXxupyXIPglJJhPcMASMCJKrhqbp8IOY+eqMyXxhQ5jBGCvU1UJZ6bqWtm0oioLN45p0v2MUB6yWC6LQF5573VDV8nWOo3AdBz/0BSGMY7H678OFbT5U03YSjNu1VFVFVeZkx5R0v6fIC/K8pG46Wm0os5Lb20devXzO1eySKIoBNWgK+0LVNg3Hw4GHu1uapubq6oLFckkYxafrTI41tNasN1vevf/AaDxiMZ9KHIjuaDtNnhccDinpMaOpasLAZ7lcsFotieLIZkRpMl1wf3MzbA8m44TQFyqLII2CsteNWOlr8/uH/R/+I5pMkaFYmuGeHt0zrJThSQOlh4OqBz76/4w1bhCw3Vgs3Az16eM6etpc0v/9E1aF6g1uzMefY2eSj+py4Crmccgs8fG70pp72fBsx1KGqpqmLKmqhvOLS66fP2e+lI3qN19/xz/+8rfoznB9dcFkFIu+13HBuhKLkZkatmfKQJGm3BjZSs1mM6kFcQQYq41pBJCyQ4fredKEOR6+L+aznueRHo9s14+szpZ4jjUu02KwlKV7lNKi19Ad2ih024pxi9Zok6EOwm7oOm2bUtEIhWEkg5/9nkXHVtFUlYCbTWWNVTRYV+Wmtg2S3ZYM9cAPCKOIILQ5fvZ5PRsF0rXW5KZtcdsWx2rxZCMrgGKPNgcu+KqlawqqssAPQlbnF6wur4gmM1CuUMWqijzPSdMjQRDz6tMfsLh4jufFtBoJ9+4aQb+bhqYuaaqCqshId4+s728pj0cW8wXPXn3CZL4gyzOOhz1lluFHEXGcMJ0vieIRQRhZ12M72FnApNNyJrWt5GdWVcluv6NpG+I4tpsIhR8EaDLSNKWqKqZTGxptjb2MbiViRDfkmXWtPuzQWrNarpgvFgSBP2xB5CzqUCgeHh/5+utviMKQ6WSCwYjpEIamqTimRw4H0eu0TUOSJKyWSybTqRiQtR11s2Hz8EhZVAR+yGo5t9RoQxB4jJJI9NxlSVFWH+M0fySP0XQ5DF+Yp0PjCeAfnGn7Hq5tZRhraiszEZnIACDAUKP6IfHjjeITlGxgRcDArug3m09r4dOHAqHgK2hrnl2e82w55vNf/4rlyIard5pO9VRkaIymLQvGSczz51eEYUBT1zyu93z5zXc4XsCnn37KaJSgOIG7p+9UfmeAtml5fHjAc1x+FEfiNeC4BEEortR+YCNv9LBECcJgAJnLqpZarBQf3n7g9v0Hzq8uOL+6JhmP0Siy7Mh+82gXCdaEq9fO1jVVJVFW+sl75iiFF0UkkxlBGNEZhgSD3jCq7+Bb3VqaqQXE24biKNmLKBfH8yTOxNYAx/HoWgEKtTVW9DxvcELtI08wlhmlO4x26bV5SimSwCcJXKrDI+VxB8cN2hgmiyXTs3NGkxmOjfYyuqOtxU8DN2K6WBHNVzaew6E3RtJdZ4fEWvrXpqYtMsp0h+la5rMZ46mYqrVdS9O0GG3w/cBuQH3iKJFM6yDGcaTeoazzfdsIsNkJi6I8bNg/3JLEAZ3uyPMM33OYThLu7rei+b+aMZpMma/OrDZeZHC66ygz6eOPB6HD+57HeDojmUyIk5FIfyxLsrNZm4f9nt1uy2QyIbbDpwCuDfnxyGb9wG67R9tt+Hg6ZTabMxqNCMJQ4k60x69//Tld59C2HaNRQuDuMZ5mZA0LFVA3LXXT0Lb/K2iojr1Q+8an75yUbWCGUW5AqU6bowGNHNApfWqmgJ7OarDZYT1FZ0CknhQUbCj6gHCeUOoh07FH/e3tHfguV6sZ16spblvStBVx4DL2HUaeIlQaD0XgKsZJzHI2YjyOcB3J0Suqhi+/fsvtwxY/jLm8uGA6GdO1DcoOaac1v7jGGgNdZ1hv9xTv73C8gE/evLGbN0Gq8iwjPRyYzxd4nk/TNCTjMa7rcjzs2W/XtK2m6wxlUbHb7IatpWw9xE53PB7z6uUrQj+gahoUjkRNGLFZrupGkAJjLL1ACpsMKdC1Dabfpqn+/VAyADuSw9N0WoqCkUya3rCm5yjIkC8UM89zBUFLYpIoHIJCpRkGkKFK9zb7pre5MbgYAscQKANdK8Y6gB+GJHHIKAlxfdcCEZosryiajiCZsji/YjITVEdcVe1WSFstTC1oe1kWrB8eWT+ucRSsljPG4xiMpuygbFqKqsYLApIktjlgkWR+ep79eehX3LRdH7GgKYuC3W5LfkxpqorAD4iWEYulQxDGHPOCb755S5blaA2j0QTfNrGiCpF7p67qwZhIKcXz58+YTCZi+vGEoqO7/nUoubm9J88rnj17hh/41DYq4JgV3N+v2e8laHW5mHNxccZqtSCKI3tYdLRGCtQxPVDXFVGUsJpPWUwTuu0Bz1N4roPuDGVXUdcN7lMziT+Sh+OIQ6CDwjj9hpknDQ+chrv+Oussnc4Oj7a+mU4PjU+P2huth+Hz6eTYU6SfNkr9RlMNjZg5NXf023vbyCiFozXT0OPVasIiMLRpg4sCY2l+Boyl5zmOw+riisurK0ajEW1Tcfv+A3/7N3/Hb3/3FWdnKwJrTd/ULUp39h7niemBBGGDmMfc3tyx3Wz5k5/+KauLc5Rj6X5lzWazAxxmsyme77NYLOnamv5U8X1pUOpqx/r+njefvZFtI9DVJWmaEoUBf/bTP+Xf/Lu/p6gzlFKEYQx1TV0WdJY+I+YyMtgpx8EPBAXvrB6bvpHqhFEC2g6up+vZAbs9OVHMNUqa0E6crbtO2zinno7moJRrf7Uwg5GGxvHaIfbJYKxEw+ApjWprOlXi+z7L8wvG8wVhMkW5Pl3bWs1hTpGlOK7P1fNPmCyvMU5EbRxpmNpGMhE7QdfbsqDOj+wf77h99x2H7ZbReMLV8+fMV+e0naE4ZmQH0SWOxhOmyxXj6YIgtNmWPDlvrdbeWLCvKjL2O9HblGXF9fU1YRRitGztojAg8D2qsiTPc+bzOWEYigmaNXrr2oaiyNisH8mzI57nsVgsmS+W+GFoKdqaphEKMBo6o/nw4QPH45GXr16SjGI70BuqIme/37Ldbjkej4R+wHK1EBO0iejPxVDN4Dku++2ObbthsVgynYyZzUYUWcUoiUmSGK0NeVFR1c1AIfxjevSmhI5B+hasWQIM2zz1tE5h7wm0vSZsI60FODBPsnuN7ul7/bUuwM1Tp+ihNvb1zIAeoK+n20X5Ve4xa6piDNMQ/tnPf0J79ytoC+LoDIX0nZ1StI6mc8TgMI4Czs+WRKFQyg+7Hb/+3df8+nffEMzOCaPI9k39eHgC8npPDKONsBvSlMPuQJSM+OSzN8KecnqAqbZyE6G0t42YbZnOgOlQtWgXgzDg7u6RwyHlT//8z4mSEQaosiOHzZpRFPHmzSe4nktnjFCw7QZday3GLPq0HJH6D8r1T2DUQP9lkDv0MReujbhzXKHdN3WJ03oCAjYubePh1jW+HwgbzmZbimGXfTsdB6XtZtGYXkI/MNwUwhT0XYckUHTlkaLZ0FY5oyBgvDxjdnaOP5oMZ4oAXQVlXqCUQ7JcksyWYOPq5NqRa69tKpq6omsrYZ/lB9LNPeVxRxD6TGdT/CQRD426prE9y3Q2xXE9vDAhDC1Lz3FPz607uqYeWCe0LcfDjrvvvsZzFKvzM/a7Hdl+j6M8rs+XvH//IBnNjstydU4yGlsApaKthcWQbu5J0yO+7zCdzpjOFyTjCV7Q/2yn+qo7MTNcPz6SZznn5xcinWgb6qYhS/dsN2uOaYoxMEnGLFcrFvOlsEE8Ge6NvX632y13Nw88f/GKFy+e8fiwJ8tyxqOEMPDEMK2sKcqa/xxf7PujM56yC4aNX3+Ryv2sAFyFsqmGQ3np6Ya/Rz3sJ2TzZBuo1Mm1qUco1ZN/rKfcCbJgJOy3sUhXP6i2LR0NdDKEzMcRry5XLGKPcl/jOprE9xj5DqFrcI3GReEroaP4vgSEpmnGZrNnvcv4/Iu37NKcyWwqyHg/WA1oPyfjH/um103NZr3n/nHNaDLn5cvXhEEIWrLyHu4eeXy4ZzFfkSQJdVURRwlxJJqgdJ+iEI5422n2hyNdpyWE3aIpynGJ4xGfvXnDZDzimG/xPYfJeCSOVXlB09SSiWYpYMYxghwFgR3i+kb0hAD2mgPP83At3bV3tuq6lu6J2L8PpRWKqRLNS9tQV0J567WKYnAjbqkCQIm+y3EUrhLCgmNkg+kh2WOu5xA4LmHoEUYBrucMm8k8r9jtM9x4zGpxxni2Qvm+NTcy4hBpt6YSlltRlzl3t/fcfnhPV1cs52PiKJQNpMFSMmRTOR6NWCwXhHGEF4ibWr9d67Wz2m7Ku6blcNhz8+EDm/UajCaOI3HRHY1wXZfZfCaHZdvgew5BIDljruvZTZXwyitLncrzAt/3WCyXTCZjqx8EZfqtvOWr28Do3T7FDwKm0ykKyLOc/SHl4XHLbncgDCOuri95dn3JZDLB9yWiQ4G1kG7Jjhl1KU5zruMxGSVcnC2p6xqDwnNd6qahrkT0P0qS/0xZ+cN7aKMHfGqggT5Fx/uB8UmmLkMDJOBRT7Pum6bBCVefDKR6FP1pnRxYGvo0YAqaf6K66ifUWIzpvTfptCH2HN5cLvjh9YL6sCY1HZ5yMV0nNCI0upUGYLk64+rZC5JkxPGw5ea7b3n77dfc395RlhVlKcyG3jVUENKWwJEwY+WogZLYth3p4cDtzR113fCjn/wJSrkYDU3VcHtzxxdffM2bN4rxeEqcjFmszsksMCFW3S2ucjCt5rDbW+BJ3DLF0EtxfX1Nq0VjoXZHojDg4uqSsqr57u1bMagBHNv0Sui0bPvk7BFqnTm9c8PvXNeX/DJH7vPeoMaoJw2ksjmjnmWIeDb311KtcFwbswJghuaZVt67p8spaaoMygh1SwUOyWQqLIZohPJ8uW6ahq6pyI8pZVWzurpisjjH8RNwPBsrIjWurQu6uqSrcqrjjs39Lbfv33I8pIwmU66fv2C2XKEch+q4p8yP1tjCZXF2xmS6xAsSXD+w5/rTDZO4cDdVyW674fbmA3f3d3SdYblacXl9zXg8oWlqoiTGYIiTiDAIQGkJYvc9OiMb+bapyY9H1utHiiJnNBqxWCyZTEWHjeOidStbWqv319pQlAWb9ZbxeMz1M6GMH9MDWZbx+CiGP2CYz+dcXV6yXC2J42TQk7ZtJ47Qrbhm12VNGEYkScx8NkNpofu7rkuW5WRZbqMSvt8w/g/xcTrGze/9+vuDhv07Y6wcoR/m/OH6ONH2u4+oyieJRr+xfFL7+i1Jv7nsnkqZnjLGOC0llKXAK4efvnnOZ1czfvHrR5LQJww8QCh6Wts+wLREccxyGhPZjWKe1/zuy+/4m19+zoeHPWfBlFZrlNVBPq3tQ5+LfK9lVZJnGccs54vPP+fi6pLpfIFyFF1ZsnnccPP+hvxHRzxP/DHifhAsCpHaBD7j8Zh37+5Yb/d4foADVGXBfvOI47hcvnzJZ5kmCCPyrAMkiqHperp1z8izA73zZEA0J5DTUaCfnF89HObYrPKeJSXyGwVG4RgjQ7vpWR2eNTB0rQGOhk4MU4Zqp3vQX4Y+x8p0XMcRbbpu6coMrQvGo5jV2QXJ4gw/isH15D1uKuoipzzsqLViujgjGk3B8Z+8B+Kq3zY1nWVO1Jl4epSHDWWeoowmns4IE6mjrXWpLcuCZJywPD/Hi2LJPXw6KGo90Pi7SlhtdC11kfPw7js2dzdcnJ+htSYMA5z5DM/3CUcReVmjO0M0HjOez1COoqkryqLisHlgt9tiupbxeMxsdcZ0tiCIJP7Czu/2upX/6qpkv9+x3Wxo2hbf90XfmjWkaUp62FKVJb7nMZ8vOT+7ZDqdWXmavJUCXnekaUZd1pRlw/F4YDmfcX11zt3dHUks2syirDnmJWXZ4IffD4x9byUc6AWcbt4nH7XFhWEw6Aepk/2uwrVD1aDtMaf4CG0LzhMvwBNTob/Qpb6I5tAWJ6UlENvVsu7VxmBc0Y90uiNSDpdncy4XI9ymoDMtgTIkLoQeeEqMVVxlcB2Fo06HyO2HG+7v1zTaYZ8eyYoa5RcUdS3uoE8GRqVOr0UfuHzMcu7XW7b7I4f0OPzMIHqhdx9uebi759mzlzjnMoz5YWiRemlIeyeqtpVhpG0aPAVlkdPWFdFojFIwm00ZJTFKbUmikOfXF+z2KQ/rrdV1SqEwpjcnkCFPcbIE7t9HKfiglYPv+gRBQO0HOL7cVE9ZIcP7awu467qS+wKD2Fj1yJwj1sk9QKAcGULdJ8HkCo2nHAJPEfoOiesT+Arf9yTryh5IZVHzcL+maAzXZ89IxmJeIQOtRRa7RnKZqpKqKsmPR+5vb7i9uUV3LfPZhCCMbBMpz1vXDUVRCWo5mzGZTIWO4Z0s2Xu+OEY0nFVZsNlseLi/57A/0LYNniP0paauSQ8pnucShgFX5wv+9E8+Y7/b4/ueaB4RymlrnWaLPKdpauI4ZjYXEx/XteCLzXDrNSVt21JXYrddlqU4NgY+eZaTpikP6w1FUTGdTnn16iUXF+ckSfBR4Ls2eggpPh7EsrkHdcIw4OLijGOekWUlGkNd1hR5gec6zGfB9xaVP8RH39QohT18xc5Gmd7goEdNT9e+bByN/ZhCO6dGp/+1HxZ7wwH7r53+3w+JPZLebyN7N03dszTM8P6bTtPqDqXB0x0X44A31wsWkcPDuiRQHaGNPWqahs60+K4YOVycrxgnEdlxx7uvv+Lt119SliW+L9Sntg9Yts1H27Y4rvSHWPq1MTb4N89Zb7ZstztGE7H1lh9DXEa/++47vvziKxbzJa8/fYMfJkSjjto6kPYDMohWtK4bHCVDW1PXdE1DFCeE1llOOVLfcWAyGRPGLc4H19YzkFCeJ8O9HWxVH11k6WHoTpgNClxXmjjPc3G83rhK6nK/DXEc98mw6NuNgoCLWGZJ//2hTtRN3bMPjLYaH/AcRaA0oQuRD1HoE/oeXuDheB5GCxuiLiV/a7vZEU6WLFbXhPEUiQXpaOuCusyoi5ymzKiLI02ectw+sr6/R7ctZ5dXnF1cMZlLXER+OJDudhSHHXUl58jq/IpoPMXxAlCubcyEtt9UBU2Vkx+FLrp+fCDLjsShUHExhpv3N8TJXsxo4piXL5/hBx5FkTMejRiNRoPusa5KDrstm43oHOfzBWcX5ySjiWwyHJeu64c6+R7atkF3mv1uz263ZzyZMEoSjseU3W7Dfren61pxR7244PLqgslkLC7T/e3VtaLfzkv2m41QkI1oToPAZ7GcW228UInzvCDLS5RSTL0/vs2iDAjyeOrf3PdbH5kN0oP3fMSwwHy8jewb+t4ZfNBE9k9unjAinjAouraltXmqXdt+PDgaOyRYHaGHYRxH/MVPPqVJH6jKnCQKCDxhKxlt+w0MSeQzn46JQkfiNvKcr76753/+t78grz2045EX4viO8YY+1nH6ofS08amqmux4JM8Ksizj4f5RtlXWdfSY5dzfPXJ3e8/jwyPT6QSMYTwZy9axqsSF2fNJkgTXc3m4uxcAq61Jdzvauma2WOL4IeOZpU0fUuqmIRlZcy07sA/0Yfva9wOivB8nGYSyvarqYW4j3hSe5+P30TVyEcjw2NP/7dDt0NIZg3ENCpeuFTmD6zh2wGYAL4eNozXJ6R3yXd3im47pbMTy/JzRdIwTxJLLjtDIm+OebLejzo/40zPCkeQsGuUOZ6JuW5qqoCyOVIcHDrsNRbqhKgt02+J6DnE8IhpP8MLYnlEtRXqgKkvmiyXz1TnK83FcT7awBnqDnK6WnlHXBV1jzXK2G4riyOL8DO147LY74jgmGY1wXYcojvjzn/6I25tbOSMcl7IoKIuCw25PXWTEUcxsuWA+XxAkYzlf+mnegiYgC522Fv36Zr3mcDiIHE137PY78iyjyHMwmtl0xvn5BfPFiihMhusCc1qkFYUw6ZqmwfVcMb/xXM7OllRVgUL+Ls1KjnlF22qiUfy9deN7h8WuaexFpq3ucLjr6deMjrKHJP2N5oj7G8ZmTFkxbN90DwhSN6zWjT3I5eZ88g301cr+oacjSMjvk+c2yL+pDaprmSUul8spiadoq4ZQGRxP4TsKDxkWPUcN/5lOkx9zdrs93333HqWEqhXHEWVV41UhnTUMQemBYmnHMdvvGZpGIhnW2z1V3chg5vSUWiOF5mHNbn8gTY+szlbWztuhqkuausIYbcPbhd6QpqkYEDhQ5jlt1+CHkbUuF16AnTNZLIS3/uU3byGv7RaMwaiiv6D6re6poT1petDyyXE8oq0rwjAeshSl4bGOWY6DoxxbfKwzqO7kHrAHvqPkcxyLYOlOo9wT8tWjl54yxB4kvkMcuEQ++PbzjO5oNJRlzf3jlrv7NbPVBaPJDC8I7bXX87nF6S5L9+THI3mes99tSXc7kihkNlsRxxHKiGYGux3JsoI0y+k0xMmIKIpx7E190m9Is940DVmast1uOOx3YOD8/IwgDGnrmt1uy/3dHff3jzRNy2Ix49WLZ1ycrwgCD5Twzp3Oo2lba6ahieKY6WxGMhrjB8GAiGO0mBG13YDeNk1LWVas1zsOh4woDMiyAt2JyU4UhlxcXnB1fc18NsPzPVynH4gs598K5A+HPWl6EG2rBVtcDONxwng8Ij0WlIXYWFdlxXgUEyffX1T+EB+6fULJto8BrbXZUQNA8sT98vTJPdQjfxAnXql7ptMnG+0nIM1Q654Ml/J7aa5F1e7aYfM0LOrO6io7TUDHxTRhHnqYMsU0pYAunjRzbdMReBLgPJ/P8T2H/fqOt99+x7dffUlTV8zmCxLrttZbq/fNhzEa11FyDbkeBmnksyxjvdmx2ezIiwo/CEWvZikEddWw3x8o8nyI0ZHYisBq4k4DulQnMwAWXdtR5AVRGBKFQpmuq5qyaqhbTVnVZHluATHT9xPSDDmnhlccfFtU11g62OnaF1dA+VzP88WFzho8yPvrWPCgB8NOm0VpNpTV/ziDPttRdkMxbJc7EWVaQNQxBkc3JAFcTCLmiUcUalxXmujerEEyKndstls643D9+orxdInj+kJFa0qK414GxDKjKo6UeUqdpeTZkTCKObt8xmx1jhfG1E1LmR3JD2L9nqUHtNaMp3NmyzPcIJTrVIkWtKlLyjzleNiSpXsO+z15luN6Hi9evma2WOC6Hm+/e8u//w9/w257YLFa8PrVC5bLmWh+2lbQ9yiyDXfJdrtmv93ieR6Xl1fMF0viZCSvJwzoumiFZGhu64a6rrn5cMNmu2M6nbHd7jCmJc+OJEnCs2evOb+4ZDweEYZiijM8l40NqsqK+9sHbj/cUJUVnuvJNtTzmM2mZOmRtm4pSjkLirImjkMxNPoje+iup7afqKDQD4ane2cYmp6CZJwkQ/3X9A/D022irVmmp9ifPkt+MWgbxaU6jaM7Os+zsSe/PyzK1wS65nI1ZzWJ+Oq3n+OgiSPJKpRNp4PrQBz5zKcxUejTthVZVnD74Za//btfodyAf/rXP+P/9v/4f1JVEmmFZUyoHsC2TKKefpqmKfvDgWNWkGUFVd3geQFKOTR1yWb9SFWKZvbh/p7RKGE8HTNORhRlPdBVHUdZ2r07GJM0dU5+PDIejQmCUPTdFsTqtJjyoZSl1KuPXsL+DTgtbOR1V9YEhaGvtosIY3CsKWHgqifxZ+4AgKH6s64/704bwxN40Nc6BkANZBZwn7AzHAWx23E+izm/iEmmM1Tg0+e06rIgSw8U6w+kxww/iJgkY/xwLA7MdojSuqUpM4rDhsP2kXx3K+7trs90trQZyYbA98Qx1fPRdlGw36yp6prr5YooGWPU6RzuKfFdXdGUR6oip8lT8uNRBvwg5PmnP2A8nrDd7fjqP/x76qpiPBoTRj7T+YQkiQhDj+wgFOSWI2Ve4Hkui2fPWSwXBJFkcfeU275x0EakKWK+KG71282a7XZHdszRiHHiMT3QtS2jJGE+n7NcrhiN7OBpfdiFcWnrZtPYyCDRgvu+b+93iOOQ6XRCkVekx5w0KyiqBsdxmM+n31s3vndY1G1jkdETijFco7Zh0oohz0VjkZ3etc6VPJYThQBs14rWDm6v92nVEyMchh/MDIOpcNpN/3emL17IcxvAOBjXxQ98FuOIWeThtDVO1+DbbLMeNZFvwxF+r2Oo6poyL9htdviex/nFOavzC5JYDjrP84nCCN/zgA7PdT4eJIyYzOwPR24f1qRZged7TOcza5csdrWNtRzvuo5Wd/i+L2+kEWeqrm3EwtlqDA2KPMtp6oYgkjwpz/UwWlNVBWWZUzc1bSfDQ9N0RFFCEIQolQncrnpksG9QLfVD8QQE6FCINkcpMYnww4ggjPGDaGiQ+kbZsZQtoXq5TwKMGykmdjARraQV7rZiCOJ73qBXdJVQTyPHMA0Vk1ARBw6BddXSRiyS87zi4WHLzd0D2sB0PiMZJdJLWy2FtoX1cNizfbynygvariPwfV68eM54nOB7SqiyZUFVSnZOnleyBT5kg9ur6wqipS3q02rJmizynMN+z2G3p6pK4jhiPpuRjMd4XkBZFlRVRV23PK537PYpm+0B3/U4P5vR1DWb9YaL64JJEOM4HlHs4tnr1rVbC3sG0Ous+g1Vn+9W1Q3r7Z53729Zr3ecny1wHEWcxCyXM+I4YTKbEdoIEIVGpG8nfV1TN+R5zuEgVvRGm4GW6rgNvu8xHo1ArSnLmqpqaTtDnMSszlbfW1T+EB+m6+gzD4dhjlPJ6699pcA4rjjVqY+p8/CEHdFvnSyFS7JG+39Nf3TI8gRB75kIp+/EYsQ2yFrjYBzEYEppIkcxDj1UW1EXR1TX4FvWhNEdHRrXi5iMJ4RBQJYeuLu54f1339I1NWfnKyazBerrtziO5L56QY+0I6ZVUSTaLeVQNzVFIXl66/WOfXrEANP5HNcTDYTRnbXolp/Bs/eTsWifkgIx/PiuA57jUBUSjuwGQh8NAtG69UO00HTFoKDrukFTTY+cIxtKxzWn7Z/WNvexD0TuBzgwlkIfBD7xaHTKYHRdrHqRXpPuuC6u51vnU3k/jUXTe024RIT0jWaD7mpxREXjKoOjNKFjeDaPeL6MmEYa15FmuK1ryrKkzHLS/Z7tZkvdaq5efcry4hrXD22Nq8jzlGy/pipSoZ4WOXVVoLUmmc6ZTGZMZkuU5wsNuSpp8pTquCdP9xRFDq7PZL4gGo1lMMag24amysnSHfvtPbvNmjLPxZBiMhEjsdmCMBQDo/niSBInvH37gcfNjt12z+vXzwhDX7SyltpeFLl1VexYrM5YLpeMx1M8P7Qb3CdeBLbOda3NcmwaDoeUd+9u2O4OGOOw2WxZLqa8fPmK6+srZrM5Xr95Uf2245S91tQ1++2eD+/ec9gdQGs6A1VR4jiuNFCzKZvHrQwEeUnTdkx9X6KI/sgegzmgBVlPPRV2y2SB+D4iwih6G4l+gLQz5ACYDWaET7aG2p5bPTOod8ofBvknQ6Usp2y/oByMc+oBe9ZWYgzPVhOa7MDu4Y7A9wh8F+z5ZlyIgoDFLGEUBzRtTZ4eWT9u2e/2fPrymsvra3aNS5EfSeYjGXqGvsZ5slWEVnccjxmb7Y40zcjziqwoiRORmehOk+4FTEmShK6TrfRoPGY6m0l/5HunRQn9QOVy3O9JdztcH6IoIU7GGBiuebf3wLBb4MDzZPnyH7+bQ58lbJR+W9ZKVnWvebfvjVKKMAjwPWcAAHu2RJ/5LG+uHRZtdqzjSsQRjixqHOXKBaAta4IeZJRa6DmKwIGzScCz8ynJuBtMwbq2osqPFJt7dpsNVbrBOD7xdEU0mqK8gL5Wd21FWeQUuwcOmzvK/IDjupxdPieaneMHPm1bUxepRCA5Dtpo6iJn+/jIbrPDhDHxaCrUTwTk66w+sSlz6uxAke2py5y21fh+wHhxTjyZEcSxSKOyI9tDxue//QJHu4zHIX/y0x/y/OUVZZ6zr+757Ac/xE9GLM5GJHFijREl2uQEOJ+ATWOk5tZ1xfGwY/P4wHa7Yb8/WABWNtehHzJdnVkDmzFBENDLw4Q5IUuPrhMzuaqs2G22HNMjGEs9dlwL8mhGSSSeKOstRdXQNC3jyZhn1+ffWze+3+BGKcnKQw3FoEdbe91TD2301Mz+ArZ+SSfqgmMRG/sZLj1NpNcztmBNSZ7Gb/QFpV/A635w5dSYyWvg2BzCgOkoJHAMpilRXYNrTUSwjQwY64rk0HUtRZbT1BXJKGZ1Nmc2X6D8gKKqUcphOhkzSmI8V6GU5CGCRQZaKXZZUXL3sGW9SymrlkWSsFot8V2HthXE3HddodAcUhkQfDG+aeqatq5twyo/Wf8Gl2VF3TRMHBviroQWJY6qHWHgIq6JhuMxw/M7ESZb0x13QDPsosoiGVr1W0X72tvXW15Lg+t5BFE8ZEC6rn/S9LiycvesAFqGK4PunbDMR3J1aeLalq6pRRdjdTyuUoQujAOHeeIxChx8z1IBjeixjlnF3d2a25t7mq7j4tkz4Z4HvR6pBSParN12w2a9pqtrklFMHEXiDmU1DU1VQKlp7Fa4bfUQaZEXFaPxWOIxHDCmw3TyXjRVyWG/ZbvekGU5nuuyWCyYz2dEUTQUhKpSuJ7LarWgbTvW641sFBxomobdbsd2f+DVp5+xOr8aGk/HGgoNNFFpRWXIpqeR9Ehnw2574JtvPvDu/S1lVbFYzLm+vmQ+TaSx9yUHT8w7OG2lbOPcN1BlUUjDZIeCXktS1zVhFLNaLbhfb9nsjmLogzSNF5cX31tU/hAfjitDxzDE2IJ+Qs57IOsJ5WmgoloaSF8HBwpED9T00UB2v29ODZr82VgEVdHZu9nBYLQMm/1x3z8troMyFrn1IHYVui7pygKlOxzPEfBHdyil8P1ANt9Nw2G/pShylssFcfKM8XjMMa/I8xLH9ZhOJqId47RNDOMYx/XtJrzmeDyy2x04Zjl13RDFEfPFEhCwoddnRtbBudfIPG0UoWcYiCbWcV0O+wO77Y7l2ZJocOWEtq5At6wWM9ZpwXgywRhFU7e4NsKn46mlv2MbHPf03oEAnz2V15wGTd8PiJNEqG6eP5gdycD+VFYhQdPK6oh7FJ4+IuDp4Gq0NGtdgzIax3R4wDLxeLlMmCcujrLgT1WQZweOh9Q6eh4pm5bF+SWXzz8hGs0EOKsKqvzAcbcmO6xp6kLMgrQhikeE8YjRWMArpTzyLKXOM+rjjirdkKdbqiKTreJszGJ1huN5tG0DCIh23K/Zre9I9zuapiGMIiazJfO5IPPKkViJpikJo4Cf/+Wfc3l1ztt3H+z3fiBJZJg8Ho/k2VEyLz2f84spSTK2555QwU4b8z4vTRgzjY1NqquKzWbH3f2aoqi5ugi5OD/n1asXnJ0vhSnCE71ofybYnqJruyGPrCpKPEfyf7XWVFUJCskEnc/IjjlVXVPXDdpAFMcs5vP/lZXl//8eju0HjGVkDbVNnQbC/j93GKJ4wqxQHw+KPAHL+ikS96NNY/8+9275kmHZU0ztFtHpP99+o+bU6WFg5HQsRz7r+3fU+ZEkimwPJxFZoecwSULGSUjX1GTpkSw94BjND998ymgyptWaX/yrvyfLCy5exPie+9HP2w/CWhvqsmK73bHfp+RlRVnV1E3L2cU5YRxRFiWPj490XcdqtcT1pD5MpnOCKEY3LQY1GNINhoxKCfC827G4WDEaj1GuNTDsJIjeVTaP1jktRT5a48oLBJx6B9O1kuXaSpSOsRnRPfCJpd4HUYjvuni+ZEY7tkYrx/2olinHDouOGPwZoy0lvwf8TxfA79OZfWWYhA7PzqfMRj2jqqWtK4rDjsP6nuzxnizPBWxcTohnK9wgkrOuFe18mW057Nbku3u6tmM+XzI6e0EynmCcQBhiZSq67aZEd8JE2N7f83h3R5aVTEYzwlGCUYZOt6DF+6POBDyr85ROdyTxiMXVtbAd/AgQr47iuKc47nnx+jmt1ty8u6HuxEAyywvu7h9pghrXC5jO5za5IBjmhNNW/uP7obM+EMfDnvXDvbDVDhnpMaOsKoIwYblc8uL5C0bjMX4QWomavWWNpmta0a1bA7uubcmOR7abLVXVgOo3x70RU0MQBMQxtF1LXUvU23iccL6af2/d+N5h0fUD+lWROl1yfIR5D0Mjw7atRxkc92SQMiDztiJ5/dbJPLkPjBluqN6UYAhx71FHa3CjLTrY/3vCqoaR6zFJYhzd0FUFqqlQQ04Q0HlgOtsUN5T5kaYqmE1GLOcTgsDHKJf7Tcp6u8d1PVbLBeMktvo8GyWgDZiTJf1mu+d+veVY1FSNiKvns/mwNTBGE0cR56sl6W4vzZA1M2jqkqoqJGPniYOp57l0rdCSRDgsF4pk8Whmkwk/fPMJNzcPJHEocQ3VgbbtCMKQJwwvNM6wHdRa8l+Ajyz/eytmpcD1fLxALHj7TeIwKNr8MdfSsnruvhzW4oDaF/j+RtGWTy3uduKU5ijwPcUkdpklPpEPCtl2tp1hf8j58OGeh4cNxhjOLy959cknTGZzetqW4zhUZcH64Z7ddofrKjGHGShJdk3ftiglrp5t29I0HXlRsd2l5HlJFAVcX1+wXC1RyjYcKOq6Zv34yObxga5tmYzHrM7OmExncq0g12xRiAC+6zour6548fKlmHh0Lb7nojuhBhzSDMf18IPIbj9OB6zQlvsz0tKFO4mv8DyPoijZbPd8+9173r+/ochL5tMpn735hIvzFZ7HiRL8BE3EGGuk01rjH8kjq0vJ0/R9AUCaVihbXdvhBSHL5YLr6yve364pqg5XOUymQmf8Y3vEyejJVu9U1Ps/KyzNvqfcP0Gg1YAc9sNjX5H6uvf7A2NPv5RHT80ftip9huNTJ+keqbdLNgdFYFymoVC42zKjLXNkY983fc4AFjV1I06ZVc1ysWQ2l+u3bVseNt+y2e5xPY/FYk4YBEI9dcUxzvcDWq2tSURBmmZkx4KiFB13HI9YLldSl1upJY7jWKBGagjKlU2PjR4ZtuZgNW2GwyElSzMuri4kPgG5x4/pka6t+Kuf/xQ/HrMvWvKqpqgqUJJzaBANJ8i543qiozbDerink59M1/oB3PU8oihCW5pW3wWrXqfav6/q9GeHfrt7Otv6zzEI20XccVuU6XDoSFyHi2nIcuzhIUyTqsg4btcc9xvRpVQ1TQejyZyrF6+Zn11iHJeqLCjzA/vNLdl+g24agjAgGi/soJgQRCP8IMQYQ5FnlHlGftiS7R8p04PIGJqWOBlx+ew5s9UZ2hjKIqWra/abB3brB6riiOf5nJ1dMl+eEY9m+EGEchwxDWsK9rsddV1ydn7G+eUFrz59zebxcXDqq2oxlui6VoxkRhPiKMH1fPtenNxldacxuh3qUpnnlHlGWeTUlbhMpsecKIz48Y9+yA9/9EPmixmB76GUpdkZg+n6YbGzjKVuoGbpThNFIcpA2wq42LQNVVXjhxHj6YTZosR9eyN0P62IkojVavm/ceX5L/8QhlQ/XstjgDqGjaEdoHoNHwzXv8PT4bDHt58MkE8ZF/0n2YehB8ZsH2es0U2nT3XO6pjF14KhX1hEQmvcPDzgGE3gezgY2rrBQeNPEuIwwDQ1aZZSlSWh53N5dsZ0MqVuO27v70WmozyWi7nNTj4Nwv232nWtZJtu9xzzkrppyMsKpVyev3iBoxRpuic7HpmMx7ShJooi4kQAW+W4tG1JZbfrAtbKz4xlTCnliP7N8+0iRpPud1RVzs9/9lM22S/FBMf15DlsLFC/nQKpnZ7v4yBMQAMY3ULbgW4GGry8oAbXdcU103Ftf2d12n2W7lDrnAEcc6yO23Q2f9J1wbgDENpTcIZaa8BTHatpxHwS4yvZcrZ1TbpZs7u/Id2spf9AES/OmJ1dEo1noKzLc1eQ5znH7Q1FnknMzfUV0/kZhCNZanat/fHshq7MaUoZwu/efeBwOACK2XJFPJ6AEV1gV2ZCf90/0rYNcRgzP3/ObL5EhePTYqx3bj6mlMeUs2fnXL16xvF4pMgy4iikyEv2ZUUSKkaTqXVZ9X5vmcZpgdIDpp1IkI77LY8PsmEt8oKqqimrirbTLFcLXr1+zXw+G94fMacUsLNrGwHV6kpqnNYCcKz3pIdM9KU2y9gYydMuy5LxeMRkMh78QFzXMJ+OGEXfT7n/3mHRc5Ssn+0FZOwP39MYhsIy1AP5HOdpFenBhye/ig5E4dq1t+uI9q3HZXtHrsHQ4QlNpdUSW9D1q9e2lUGkaXHammXsMk18qHLqPEd1Fa5FVDByI5mupakqUitGXcwnLFZnjCcxaM0hzfndF1+z2R4YjWLOzxZEkT+EtMpPKqhwXTccjjmPmwP7NKOuGozWTMZjJmNxw9Jdh1GQJBFnZytuPnywDZlD01QUeU6RHaltAKo2JxPbppV/o6eFdE0tYayuy2I25Z/85c95eNxRVB2t1qRZRtt1su2y6LcxCle5BH4gKL4S845hOHScwTa31zcGQSBDq3OiWJ0Mh3qqCf27PyDs4gxpHUNxTrb0WqysJQ6gQ2mNawyh45IEHpGrwNJ5O2M4HHK+e3fH+nFL4HtcP3/G1YvnTJcrQcGMNANpXrCxbnhxHFsXvFjoH+rjRrxuxEH0mGbkeclmm5LnFXEccnV1yadvXjGbjYdmI88LHh4e2O92RIHPs2fXLJYr4tFoMMIwuqMoC8oiZ7tds9numE3nJOMxo8l4GL7bpubyec68apivzq0xDwO953RvSfXV1vXMdV2Mgt1ux/v3N9zfP7Df7kA3TGKfT15e8eL5JZ6nEGCwvz6N1Wb2hVwa9cZqoopCKLMAfuChGiXi6K6jLCviJCZJIq4uz5lOx+wPOcpRxEmC/58pKn+ID08B3omG09O0LD/KNkjOqQHqH+bUaPTDguv0QIkMLl6fz6mwWo4+z8se4tYFdbBHt02u6fV1TyiqAroIwzxWHWexYeSW6CzHVKXd+p/o1K7dVpdlidINoyRhdbZkPB5jjGG73fHh5o59mpMkI5bLuQUPRMvn2NiWtpHMvyzLOeYFZS2gWNtqFmfnTGZzjIGmaVEKPD9gvlySJDGefV3FmrwHp8BWe7pWQoHzSoxvxMVUtvFlWZIdU2aTEX/1l39BpV3+7tdfUaa5RAP1jY2SnETAgiu9250ZYmeeOjAO5jTyBTZ7Vp8aIBRYl+4+V+yjx9AA2/fWlaatN4lwFLYJbjGmw3cU48hnPopIfIXRFXVZcNhu2T8+UuUpTdOgXI/pYsnq+WsuX36CH8U0dcnxsOX+7h3H7aOwZ2YLJtMlQTImDGP8IMR1Pdq2Js8yoXmlO/LDhvywoyxyyrrGCUNWV8+4+uQNQZxQlQVNXZIdtqwf7jFaMx5PmS7OmMyXJKMZyrURJG2L0dA1LQ8PD3z99VesVit+8IM3LBdzpqOY89WM9XrNZrslTkQSEYYSQaRcdwCx+uvZWHZLVzc0dUVT1RQ2XqprxQSpqiRC49nza/78L37KxcW5pfvKpsBYl3U4ba4HuUdrdUldK2dfHNlNlICGPVjqeT6LxZzJdMzucMQgQ+54Mvn/caX53//hCjft47plP/afGhrl94onfigf9XOnX3vQ87SZ6kG1k+lJvyk70fH0cF/qweBo0GBpA0bjac352MepjuTpHs9xCXzXNt0lUeAS+R4YTX480pUFYRCwnE9JRiO07qhazVffvOO7d7eMxlNePr8kDDwcZez1dOpvqqpmt0/J8pKyqsUsr6i5urri+vqSpqlJ0wNBGHJ2fk6W5ZxfnLNYLsXBsmtFsrLfi8mWEt1fz1gBg+t7hKGEwZuu5bjfsd9uuby65v/0f/6/8P6x4Ob2XsCfopC80eH1lffB9TwCX9xpdSv6RnSHsnpF9yNQE4wT4briiO/2kWBPBhGbkWTfd9duFu3G0WFgbJiu9+M4CQEYAFZN5CrOJjGRB7Q1TXFgv9uyvbvluNuJD4f3/+Huv74kSbI0T+wnolyNm9OISFpZ1dNLgMUu8AA84L/HAXCwO7MzTaZJdVVWZmUwZ0aVC8HDFVXzrNnJfdizpFOrPCIywt3cXInIvd/9SMJ6e8XyzdfMNlt0nOC9xXQ1fXPieDjiTMfm6ob19VuycoHXQoe1UwyPTCuHrqE+HTg8Szza/uWAdZ7ru1u+/M23pLOZTB3bjvb4IhNnLMvNNZurO9L5BqUiMd4Zm7twb/Ztw+l4oO8blos5y3XJ1a24LVvreTqdSLMl5WI+gcbT3u4v8rnx3Fhj6TsB3F4eP7Pf7yVyJYpkf7eWosj4q9/9ls1mPekdCQCb1AgC+pu+xQQwwgyW3W7Py8tOMsijmCiOwkCl43Q803Udm82GLBfvCaXOJFHEYl5OJpX/ueMXm8XT5w9ESUqcSoyAioTednnRi22vUiN9jmljHU/SRd/nps9wlgmtdx60I2z8BLqqCo5m4/caBdMKO45xQ/FrjMXFA6mPuV0kzDLHcJIbKLIDRIo4kgLOW3F5a+szfd+zWCy4ur6iLAt8mBB9/8N7/v4f/8iparm7u+HN3Q1pFAF2eiBcMB1pmo7DoWJ/PNM0Hf1g8Dg26yVlWUAoAkFQmdVqTVEU04TPhFH0MAzYgHrLdEEK976Xm8JbJ1k0XYszA1kSE2nFfFayXCxwNJimgzBB1KGgnETKcUqU5lNBNW4OI2p0odkFIMAjxkGvaHnSbHscsqjLzxBN0xYh5CmME6dRKa4jlAq8bVTIOZNJb4QjixVlGhEhUQGds5xPZz58eGC3P7JYzHnz9pb7t2/Iyjk6Uhg74IaBc91yOp2xdmB7dcV6syZNs/BW/XStvBMUpu/FGONlfwwNY0OWZ6zXC96+u2O5XqAUsjFUNS8vL1R1w2Kx4M2bN6zXYiCk9KuImDBBleLW8vDwwvc/fAqInKYscq62a7brJbPFmtt3K5mMjouKujTel3Md0Lk4ZgjmDj/9+UeauiZPY7768p55mbHf7/ni3S2zWR4AGM1rOsjlXnWBoiCNYlWdaWpBPEeU0jhHFxqCLkxEtZIM0qv1ik8fnohjHRae/hcXlX+Nx9NPPxAnKVGaEqdpoE5epukjhDoJ/ycUjNAYXp6T4Jkgt4ZzuDGCYXzOdKB6BR2Bji5GWdZaXBJoW6MzIARaow2Nj3yreeS4K6HsB2rTYk1HEhWTYQHeBz1zS6wcy3nBcjmnLMSgqKkafvzxPb///Q8Y67m+3rJdL6fsQRWJ46cZhK7S1B2nU01Vd7S9EdAOWIfNx4QmMEoSdJIwW6zIy5KwywU61iXsXqEm8xFZB8f7KgRs93K/Cm0m51gLk2AwRta2gHpHkeh6xqYwSTOSJAuOpUiczgg8jpFBAexkKmSj6RkUDMxfQJyp4Lp8TDIL+eeAuMcTaIbWeGPxVrIq4whmeUyZCdDVdS3n41HMY+oaN1h0nLLYXrF59w3ru3dEWcHpLOY1z58/sN89MCtLru/esFjdkOQzojiVpl6BMZ24BdZH2tMLzfGF5rSjOh9pmxYfZWxu73n7m98xW22lCG4buvpAdTqSZzmrrURpZMWcKMlRcYr3CmdfUQmN5XQ487d/9080bc83//RHvvv2K25vtsxnGavNijTPiJOM/JWBjQ3NfbhYOGfCNNqIZjNowg/7HdYMEpauNNZYtFJ895tvub29IY6CxtIZyTmdGEYBWHnFoBAnzJaubhiG4ZW2VJ5pFxwHFeKwe7Xd8PnhGescSSwT6l/bcXj+SWQKUYhGCL/HURLMScTWX09r3dg8jo1lgDbHNVF+Y9R8j4OEid06fZ7Ue1FoHEGeplHbaEOD6IKpjQ1MCuUMuTNsZw53esb2LWWZEytFE+qjeR4T4WnrGm8NyyJhs15JbqaXfMIPj3v+3//D33CsGv7Lv/4db+5vLjmroWkGKcirquF4qmi7nraX3G2hoN4yny84V1I/bq62lHPRG75595bVeoX3jsN+z6ePH2jrmkRrkjjGxEKZNYNBJwJoxZHQwKtTRd003L55x/rqlu9/+BNJHBFFirbraNs2NJ0CkoxrTpblomHDgxM21AhW8ar4H8FK7zU6kus3rntjNRhw6kvjHwYUYwMpG5vU5Yx7zHjewgbmnRSeRRaxLGKUrSVz9fkzL0/PNKcT1muK5Zbl3T2bqxtUMccH8y7fCYjdVDVJHLO4+w2r9RUqzi/r8wgsmAEzdJi+oWvOnPYvvDw+cTqecIGJ9lf/5/8TVze3Uk93NU1d01dniRvb3rDcXJNkJaiYy408ghhC520Hw6eHZ05VS1bkLBYLbq633N7eMJ+XfPHNN2yu3xDnWfha0cLLnwnn1k/Nbdc0nPY7np+fOB0P4D2L5QpjHcfjmUjD/f0bvv7669BrjXnlIbJqioXrsUMvsoB+4Hg48/z0TNN0U82itcYYy7lqOJ0rFJ4iz5kvZlxt13z8vCdLoMjz6b3+545fbBaPH34ALQ5xwm1OiJI0fCSo8N9Kx6joIogeNR/jw6cC590F1F0rafi889PiITlXBCdVgpg3LEoBqZdiTShYaCY3La0hihzzWLMoExI6uuByFGGDW50C6xhai2lrtNZc3Vzz9t1bFosZzhr2+yM/vf/Mv//73/PTpyd0pHn39o7r7RIVYmNHhy9rHYMxNG1LVTc0bYcJKGUUKZaLOXGsudhUy4QvL0viJKEPF9sE9FQHdMeGyWk/WAYjFvRt00gA6dChtZbJWZpKztnpxLmu6QaxOY7jmDSREGIbXE51FKNDUSG0zFD0hA1hXLhlpQzanwh0QOHHh8f7YLvqFA6L0zqgw2NA0biZvAYL1IXKEMWgY5zXIQMS8liRxVJUN21Pcz7x+PhEUzXc3lzx9t0bNtslcZpjnMG0jrYfqJsO6yArZyyWtyzmMwnJdgFhthbnzKtFZZgy67rg7FmWJZvtmvV6wWw+Q1wcG7pOTBW8c7x984bb+zvmi8XP0Ed8cMC1JmRaOgZj+fjwzO+//4nDqWYYBLFer2b8F7/7Df+P//t/x/X1rTzIckdMdEfJtdPT3zs7cNxXfPz4kaenR5JI8+7tG2ZljndWJmHesFrOJ2q0etXsj0ANoQExw0DbtJzPZ9qmxlkn111Jnmfb9jRNR9P2DMYEsbsmSxOur9bMZtlE8aqq8y+vKv8Kj/PTR7lP4xgdJaiwGUYhQiUK+j0dJ690eBe6yYTKckFZp35yWoUvtMUo0qRxTBbHk24GxMIcN06cL4Wq9yp42glPOcIzTz3rUhP3jnPX4k2PyrKwxko0S993uCFms76XkPJ5Cd5xPpz54Yef+Hf/7j/w/uMDSZrw5v6W2awIgJ0KRZzECrVtS1XXnOtaAssHy2ClOFwsJIfWDkYm5lGCQ6EjobDCpSD0Xhxioyim816m3HXD0EtWomhn3TTxSZNEzJ+iiK7v2R2O9L0h0hEuIuga1aRzVwrSLA86y4gpmsmPzeIlA25q+pRGaz9pKV/rSUegc/yzXMNx/Qy0U6UuYI8ajZAivLo4oSbKhXxfQ98OuPZIe9oLdVhBNp+z2F6zvL5jsb0lihKq456qrmnrE21zZr1ac/fmLfP1DUk2k/s0FHF919A3Z9r6QHU8UB1fqM8HqnNFXYmhzfb2De++/Y7F5jrkprYCVBpYbu7YXt1SzpdEcfrqZxoLtODGHHT13WB43p95PlZ8eD7yP/7977nerPji7Q1fvr3hzZs7tjdbZvOFIObjFHGkrDkBP4wRelrXCtJ+Pp6I4ojt7R3z2YymafFosjzj7v4WHSmZJr5iGzlnp/dnjaEP1Ky+HyTmqOnp+x5jDAFDeQXKSoMZR5o0zdhebSjylN4YsiydDEZ+TcfLw/dAMGhSY/Mco6NU3DrTGVlWyMQ6EVpdPLplTmsYU002EYymZe4VbTXEDl2AGHn2Iq+ntdNPXzo9dEBgcyBsjGUascgV1dOZWEOWJjJZNj0qODYPfcdpGJjPCtYhVswrzzBYnl+O/L/+f3/LP33/iSwv+M13v2GWZ0G/KR/j2++HgePpHOq6gboVJ2blHXd3t2itOJ/E3Gm93kySnM12i9aKuq55enzgdDiQZSlJHGO9ZxiE2lq3LYt0TpZlaMQlvx8Grm5uWW9vsM7x8cNHhuB10ffiWyEDh4ujZpIkFEVJkiRiMuNciA55vUZxuWZhX5oSZ9XPoOWwZcnaNxqyiH39SM0XYy+tY4hdAMcutH0Y3VgtZZqSxZ6hqahOe6rgGBulGfPVFZvbe7L1Bh1F4Tk0YT0Q0KBcblivt0SzdRgoiQWj7A1GPDBMhzUtZmjoO2F3dX1HHMfcvLvnN3/1b1jd3uG8o6vPmLbFDYbZcsNqc0W23AZa/CUeTWrcEMM29JiuZX+s+ft//hO/fy8SryiJWS1m3N9seXu35rvvvuWv/osbuYecFzO6Vyd1BOzN0NPUNfvdjv3LM01dkyQpq82G2WwhaQlPT6zXS/7qd79luVrI0+VGsygxsRmGwMLog/ay6zkdz5yOZ5z1FEVO3w/0gzCT2iAfMcYyKzOKsqDIM26uN2yWD2gl69/Qm19cN345OqOtAWnymBBTFfJUxoIqQcUpOlCWxsZgGm8HM5RxPBtFF3vdiwZOT9xacSmNw5Qk3OQuUF+R5mN0yTTWYXrhcqc40kiTBDdWMT5xxFGghTnLYHoGK/EO92/f8ubdO9bbDdYMHA4nfvjxA7//45/500+fqdue5XLBF+/eSIC7ExMYF5oEZ0Xf1TQdVS12ysbI5pOlGavlQswpnJmmDC4UKEM/cD6f6PsW74XuleclpuuxRmiAVdPQdD1N4DBrpYnjlDgJlAGgHToOxxNt2+O8IONKR8RJjEMyLmXBiKTBnyI/XqNHl8bcS5fOKxYsI1Iok90LpcSNUzvG76EYKXnj4uEDlUHHsUxrkmSyZx7jOpJIwmDFnfPMab/HWcubNzfcv71nuZqjtTiStnUfGmNHPptxfXNDuVyRJGMGkcNrKUJGStLoLjb0oTkfBrRSbLdrrq6vWKzm4taIRMV4ZcAr1us18+WK9UZCVJloFu6yAFhL1zZU5zOH/Yk///SZH/78maeXE+1gsdbjveF4rpmVM/6fSU5RzqZFxIGgddM5BG8kI2f3/MTz8zN933F1tWGzXkujaMWsIYojyiJnNiuIlLyOD3TGUfcxNqFDaBTrusZZQ57LJLLrOrouOGh1PcNg8N6TJClZlqPjmERr1qsV2+2KrutQXnKjfm2HtgOm7zDjMx7+XiiGwSlOSxZeFCckqYBmEksSiVnRZEF+0a+N2p1RW01oFuMowqYpZLKtJDpEEE2UyQvaPt53zjusjCvBW1IdkccK6wbR5PrA2/AOFzamrm2ZXV9xf3/PerPBDR0vT898eP+Rf/r9H/nTjx9p2p67+xvu72+mvEUVpnvGWPphoO06zlXNuWpo+4HByPobRxHZ+HwEy3UfkFBhfsh95YKTqQp5YyOtsW1bmqal6wfseL68rCWjMY7WAmjUdcvhGMyWwjoUxwnROEFUanItTZL0wmgJtNNR6zHmB8sFHhvAVw7XAcVFjbyWkRkTPl+NkonpDgGksJqmNaOzYgBKEw2JctihpRoqfHsK9u+a+WpFuVyx2N6Qz6U4qo4vnM4VXokBz/3bL1muVswWK3RcgJat2zuD6Vqa+kBbHWiqI20le8tgLBZNPl+xvLrm7qvvWGyuGKyha2rM0IOKWF/dsdneUQQDGymWTAAy3TStE9OZjr6TYvpUtTSdMGlOVc/T7synR2Fj3N2/ZbXakqZiljTpRMP97ILDdB8s7qvTia4bWCyWXN1cSz6j0niOxHHM1WbNdrOSaaRxgW130feaME3s+462kazb0ZAjDD2CyYhhzHH0Id4pjsW1MoojNusVm+2atu9RoVb5tR1DL2BfaBkY7/8L/TAVz4IkJ02FQhzHCVGUEEV6alj+k3iF13XdaIwzfYiO2TmNncwOx2lXMC507lVdQZhMKjSWInLkytK5gTyJwyRdqMZxmKCdjkeiMmKzvqcsSzwInfRY8x/+/p/59//wLzQu4u3tFe/e3gUDn3GdlvPhrLDLjqczVdNRT5E9ljyJuLra0tbiTbBar0mydJoW4j1tK94Fzlpxw09Shq6lbVsOhwPH4wlrHFEs8TtNXdO2LavtLcvVBnTE+bDnzz9+j0djrchnnHNhyhQDUi+nWUZWSG6jMJRe7THjtX3VLBL+Tr1ez0D2lxED1yBGtKMjbiS/I/UcBEMdlYieMn7l9hquocZRpBHK9XTNkeZ0xBhDmufMNtcsb96QzVf4sAeYrmYwFpRGJyWL9RWz9TVJkuIIOdsEVkignzpncKaXLNjmjBk6kjTh6u4Nq/WGmy+/ppyV9EZcmc3Qo3TKcrNlvrkjKwrQY4bqz/0JvLPYoaVvas6HHb//45/5w4+feDzLubLe87A78ePHZ95ez/jur/4LcbMNQKiczAurTeRqHdX5xH7382zYzfU1i8USpcQcLk0S3tzf8+7dG6JAuRWJihFm4SDAlwB94kxeVzWmNxR5zma9ou0M+/1B9mgj96b3jjRNWS4XFEVOmsasV0uur9fYYUArT9O2v7hu/HJ0hjWBJsClKXiFyno1/tvFEU7rsUmMw0RrdHwcUXvZUOM0I04lcytJJUIiSROSOCEeQ5LDGHxcUMYFzno1PaBDKGB1EpFoLc6ngeaolSJONEkUBXS8w/Q969WS7fUNs8USYx37lz2fPz9yPJzouh5jHVopbm+uuLm5Ionl670LUwInmYt9b6iblqpu6QaL8TIVTJKY9Xo1rnZyDvHBWrmiOkuWi7WWNMspZnMUMHQt1lpO5zO7/ZljJSP5tu2Jk4wshEOP7rE2FHOyGYtWUAqmmDhM78YmX4VGflwcpjfmRzOUcF2nEPCfdYzT+QdpeiNgzOPRAQzwyuOsfE+PcPSjJCENVIlkpC0ExFopTaQkzuLcVHTnM1pr3tzfcnu3Zb6QqVk/CDq8ezlwbjpWV9dc394zW67QcSpGSl6mL96BxU7NXN/39E1D21RU5zODGdhs12w2a+aLOSikAOoHdByTFSXlfEY5XzJfLIgTsSn2zl50Y85jrRE3tMcnHh+feP/xkX/45+95eDnQ22CJokZKgmOzWbPdbgLSKtPYsbFT4YT0TR/Cr59p6oqyKPji3VvmizlxHIGz9INMtIehJ01T8ixDq3FBuRRFJnxO1wnyZIwh0prFfH7Jw0Oj9CUHL45jobbkqUSTRBFeKWbzGXe315xPJ5KfTct/PUd9PE4Ndhh+MFKsxumRrHkhi2oqjML6FtY6HQkTY2RjRFEsv79yDh4ny/hg5KUdTil00KmOZlCTlse6qVkckA1IOUM810TO0LU1zg5oxqxfyTlsQlGz3W7YbNZ0XcfDh/f8+U8/sN8fOB4bjIUkzXj39o71aoEKBcd4b9oAirVtz7lqaJpOmpBQcKdpShqM0F4bAzhnxWCllsmhdQ4dpjeE+8cMhr4T+mnX9VgI0x+N95d13xqDcZ6mk+8trIlA7w0ApgYBJqMIpSXmQ9azADKOjAk/ui2PmNZrbP21Y6usq147iYCKggZ83OtGvlagZY33QBwABKaiOji+aoXGYbqW2tbooUNFEUW5opwvKBYLsnKGUo768MLD4yMWzd27r9lc34c8wuBYqCMmmpTp6buKtj7Sng+St9i1eKXIFyvS2YqiKJivJBS66zva+owZeqIoYbHasLl+Q1GuAhU3FGXhzHjrsKanqStOhwNVVXE8V/z04TPd4DA2FKlKqKpV0xFFGZvtNUUxk3spmHu4ILPAixNg09ScTyfac4XSmu31NZvNltliDkjmo/eePE/5+usvmC8KnB0YnJxT5/zPmsQ6AGJD1xNFSnI68wyj42CCBKYXTwDvCVrKhFkI2QZPOSvYblYcDkeyJA1sjV/X4a1MqSYUGxXy58Z1zmFtR9/VNOP9rUZA5DUIJvt/pDUqRDAkSUqSZmRpTppJ9mo6roPR6DKskaC1MRvwsu6NkRryzoJsRVlKbYn9QKIsWSraRDvI3hnHEV3T4JRj/eYNm0Clb7uWl92RP/z4ib///Y/UvSHOcr54e8d8lqOVe9VEAV7WtHNVczrXVE1H20ujOAyO1axkPptxOp0oyhnFbCZ6bmPZ71749Okzfdux3W64ubvFW8v5eOSwf2G/21GfzjhjiYKGbPeypywzyvmCfDaXetoZPrz/M8f9DocStpoX+UMcAuV1GAgI3f7i3jweoyI+bF6XxnFc68ZaegL7pXZSSqN9SEAI7IiJgjq9BmHIo4LrZxKaxfD6XgzWsljhh5ahFVpwlBfM11vK6zek5QKvE7AdfVvTHPc4NPnqisXmmtlyi4qzado8NooufHg7YE3P0B5pji909Z4oibn94iuKubjLOg1d29LVR7p+II1TlusrVtsborScQMJxSDJ6o2ANZuhoTgeO+x0fP7znX/70Z061AcS/RY01vXPMy5y3b+4voIO6DBUk0kKAucN+z+Eg2Zo6irm5vWO7vSIvSkk3CAzDKNLcXF9TzkqhHYe+wfSdAGGtONi3XUvXtBgjEXzbu4sPwePTToZToZ4Rs7mSNEnYbJakqQBjowNq2zRoBX3/y/KiX2wWx5gJeZDD7RIaDT/edG6k33BZAsIm6kbthrogFEShiEoL4iwjTjOSPJMbLxmbxlTsteMx40VPRZsDGUmHIgovJi1JpEkiRazE2APnUTiJfIgjbOdo2w6cpZzPmS8XeO94fHjix+9/ZOhlkviljjk1HXEc8dUXb1kEWtaY3yKoqLihCtouSLugllJgpUnMerUKSFpYjK2jdy3PT89UdSOmNUjY6tgIRHHCYBznc8PhVFM1Mgnrul5QsBAa65UsCFGkKItCkPdeDG4utM+AII2L+ogOhRtZburwsIQC1E+UHn8xgXi9CIWCcAqh1qM7liwsDi8OgjpG6RiihDhKSPOSOM3QcRyAhTBlVoC3sqD0NWmiuLm64vZmQ1FkRHGEs56mbvn8+YnDqWa+lUaxXCynXEIxdfF4wyW7yVqGrqM6nahPh+Cs15IkYmSw3qyJ45i2bTidzlTnmtVmy/pqLlqrQpwFLwAJoTiR+67rOna7HR8/fuLh8YU//vCBP398oG6NTKdeuZ5lecLX33zJfClCe+s03oeiJaD259OJp4cH9vs9SRKzvbri+vqKPE8ZiTrOicarOp/p2o75rBSR/xgHowSJbJqGum7o2g7nHHGYQhZFIQ6uHtqum3S/AFkakykxBSmKgizLpr0lyxKuNkuSCNIknjabX9PR1dUEgimlA0UrmBKE0YRXGo+ZaFduouZI4+BVcIjTOqxdQtNPi5KsLCfQJE6SyeFvKqKtTKNGSH3U7YzAjQuO0CbQUlCWRHn80NNV4map9agf8mLqMfTM5nNu765x1vHhp5/457/7O87HE5vNmqvNkk9PL2R5yldfviVNY7wVKkrosybBfdcJg2KaKjpxo9ZxTJqlgUarLs/e0HM6HsXhs22F6pcmRFrJBHcYxJGyF9qzMRaLChEtyPkMxZu1BuelIBFDCDHLcf4ysVJKHEi9D1Qrf1nPNGEvcy5MZZka0elWHpH1ie4TsoJDBEDkAhNgLAimYjmsgXFC7BxplopZDhJyr5DpRaRBeWlstO3Iooj5bEYxn5OVM8mqdYa2PvH08Jnn5x23777h5vYN8/UNTulwHiTA3HkfCqaKpjrQnHbUpz1NU+GcJ0lzZus1ebkgywo8nq6pJE6jlYKl3K5ZrK5I8zlKx1KW+ct58V7OW1NVfP7wgZ/evxfZQ9vz5/efaHsr53s6f/Ls3N5JIRTpCMI1GvU6NtC76urE6SimPkU+4+rmhs32Kri5Oswg08K6qZjNcm5vb8izWKahjGurABld19E0DedaMonzLGVWlqFAymgj0fCMIBoIMJbNM/I8Jy/EJt85K2HamyX7/YIsEQO6X98R5CSvr12QmHj/qqlA1kFsYAqFv1V+/LM8k0LBF1p+HMvEKclysiwPdNacNM0EME4SkiQm1nEYBoR3NDIprJLpUXhbMZBqz0wbfFehnGjprbUYKxIj7zxtV7O93XJ/e0USa9qu5+HphX/5/ic+fH7h+vqG/zJf86cf/8zt9YYkCj+TBxUyDSW/uud0qjjXbZgoOqz1GGuZzWcitfKe2WyGABoDp8Oe7//wPX/6/nuau1t++1e/5WpzQ9c0PD8/c9odaOoa72U66LzncDhwPp3Iim9Js4xgOcju6TPPD5+YFZKRbMc9SUdEMURKGBdROM9RHJgg0zQxNIrj4YOTSLho46TqAopegG25uCP4FQezlzFKg+nVdSR+GUmaEyUJhPzEcSwSaSTb3HR460jihGSxYLG9RpVL0JGwn9qK48sTzfnIYnXFfHVDuVhDnE7rv8hqwiQxROvYvqI67Dm9/Eh1PpHEUK6uWKy2ROkCpTSu3VOdD/TnHcQFs+0di80tcVaEu2qkRDMBZNYaXFdzOuw5PD2wPxz5+PEzT88HBq9lGBHOr8ITacX9/S3X15vwGIW9J3iRDF3H+XzmuN9xPB6x1jCbzbm6uWG1WpOkYhw2uv/2Q0+kNavVSmp6I8Y1fReyJuv6Z5m1RZ5zc3vFar0mz3O8dZzP5xAXZEPzGQlgkyZB+58Ja1MrMUpbzsL+pIK3yn/++OXJohnCZNFPP9BYjFxcQV87hPrLDesUHou3SnSISgsqH7mQehhhkRw5hzRf8WDo456473+W4RcFeqqOxgnmRVgbxQlppCiyiDxVxDrk/E0W6Q5roWkkSyxLY+bzGVkScTru+eGP3/Px0yPvvnjDuy/uWVYth9OZoix58+aOKI7FmXDcPMMDY6yVuISmFW1EyA3y3pMXBeWsnCgaKNGMVXXDw8Mjw2ARKoHooZyVBbcPm17XCUfduXCuvCeKIzF2CRRb5xxJkjCfC63RBKE/4Xq4qfAM6Ds69D1BhBxQxLE4EGtny0XX8/Np4lgUKSWhrNGr/B2l4qDXctPi5FWETiQrLZuvSfI5OskC9Uc0VRqHsj2annkecbVZcnO9oSwlT9I6T1XXfH584fPDE/l8ye2bd8xXG2kUteQQjYveVFxbS9e14r718kx7PuO9JYmlERKXvvFBdcFBak8+W5LlM4pyLovgRNd4hX46aNuO5+dnHj5/4nQ6iTD5VEmY8xg87N3UnC9XS7766stgWS6b0uCkQO67nuPxwNPjA11ds1wuuX9zz2qzIU4iJGU3NBTe0/VCmR4GQ1kGoGDopSgDzqeKw/7AYAx5nrFYzKWpzJIwORDthBkMbdcy9IMsFrkEoHvUFKUBck5FJ5tjTE8cRXj/65ssej82fRezA68E/ILQXKiRRTEWWWNodfhlXB+sGJt436F0TN+2NHVNnCQBbQ/AWLDZTpOENJYiKtIjhWtsWl8hlkqJo7D3pLEiiaBvz7TnE9b0RMkle9QNA3Gk5XnKMj7++Uf+49/8DcfnZ+7v7/j6my95fNnz6emRNJ+xXs6lsVKyivvxhw4NXN30tO0QpoqWMUg7SVLm87lQRq24nQ59R9eKoL5rO/BeaLtZignsibqqac41Q98L6CejyZ+Zajjv6LseD8RpTJ7l5Fl+oSC6izbEe1D64jg3rgNjhqzzPlCYXHg2f/5sT6WWH9kyTMXVaFgjxbPo6/GBcqQjVByTZjlRHJHlsrYMHqJegKxIeyLlUN5AiKpZzEuWqwVJXoDSuKGnrU8cdy/snh6xTnN1dcN8uUZFMd4Gzbz3EJyN+y6Y0xyfOe6eqE57YbZkOYnSqDghyQtUnDK0DW3bUB33ODOwWF8xn68piiU6Si7nMSDS1lqGtqU+n3j8/ImnpyfqqqbtBx53e/bHKuw3QbMZNp8kTri+vpYCWKkwnZbsRDMM9K1EY1TVCVBsr2+5ur5jvlgGEEXcB+0wUFdnds9PZGnMZrUgUkgBZYWOJWtYT9f3gY6oWF9vWC6WlCH/dggmdF0vVPvRYTqKIrIsI0mTi2M3MnVeLuZcbZYoLG3d/K+w2vzvfajLh1I//++fHV5uCHWZ9F0G8eMaGF5D6cAuEncHYwyeVnwdmlqmYbFkM8dxIsVrAM+kiYyJgqFQ5KJpfcndwCzW5L5jqE/Yocc7i7HB5VgpurYjjxXv3txQFjl91/D4dOAf//kPvBwavvr6a968e8c//uk9TXVgtZIYhVDMTg2yDTXd+XSmaXp6EwyYQouwWq1QWjObL4Qi6R1t2/Dh/Xs+ffzE6XgS+quHNMvompqqqqRRtJd6YOgHjDMkaUqWZ9Kcecfjp/e8//FHttc3JFnOv/2nz1Mjp7SWSCSlQl081l6hoRuvymvwy/swKfZBV+Ff1UmXARAg8rJIQ/CWGCVko+MpjPWvfP8kjoMDc4LXetJBaoRyHyuHMhYVxZTljHRzRZTNcYG9YNqW5uUzx4fP+DhjvlxTzNfoKGXUEIr0KXxYkVb0bcXh8QceHz4ydAcZtmQLySCMkqn5Ml1LW50wfcd6dctqc0eSFkA0nRu8xzsjRllDS9fUnHaPPD890JwrusFRtUJFFhYLUy+uEOD8q6++FG1sqPmcdQx9R13VVMc9+/1e8l2TmO3dHdfXN8K4CFTu0LKGIUCN94o0TbHW0PeWoRNg7Xw+09QNxhryLOPm9pbtZkNRlmEoJYyzLsgEJGZFtL1ZXpBlUs+qAOpppYjjiCxLg9Ghmnq8/9zxy81ilAXWYBhsKz0hMCPyPhZIigtK+3ocy+i4pIMzZixOeVEs7qqjJsAa0RhaKzzmIRqdAmVyFY/uhLGYTOgoIlJCP9KRJlKR3GJezEFciMjwJsYgRjRt15MmMbHWdE3Fy25P37a8e3fPN998Q5ImfHh4YXCO+XJBngvK6YKwf9SAOSdF/rluaNteCijrpinrbFaSpRmBcYMZLHVds3vZczgcAiVrDI2Wc9s0Nfv9TsxsXqHlcchb9CGQcizUozgiIkbH0cX1lIlQ+hdX0k8L1eQGGL6vD9SBsVkcaULjRnIJ4h1pVXI9JcfsVWGrA03Fy+TXERFnM4rZnHK5JSsXgsoZyUSKcMRYEqVYlil36zmb9ZysEPrBmF34+PjC48MT/eC4314zXywnFy6lmPLnvLXTJKGpK54fH3l+fKQ+n8FbykIoSWkquUVESeijo2kyVBSCMseJ0NjsiAwg9Li6rjjs9jw+PfPy/MzQ98xnc/JyQfrHn6SxUpJpKWCtmMjc3lxxfb0NFNQwLTGWc1Xx8vwS6J0R3/7mW65vrsmyLJhFCYLuncUMVnJ5zhXH4xnFaAYirryDMRwOFbuXF5TSXF1tWG/WlGUR6D+BqhqmPnVdB3qgxKyAmqZIYikfQoSdLDpJmpAmiZxv8+trFnW5AB00SmFBJQAuSqtLE0n4twkgGxu5cfET6qHYPcvaNpp62MHQeaFVovSUU6qjiFiLdjuOoimMOQk0rjiOp8gNrRWR8hRphHaG6rCnrgQ80EqHIk3usSSKmRUlzfnE+x9/4HzYc//mjm9++xvm8zlP+xNZnrFYL7DeY4wjjvUr2pK89944zk1L3Q8MgUHhFaA88/ks0LkvBdfQ91J0VTWdsagoJUoylI6xruF8OnF42dGcT9h+CAHPsuYkWYrSEdb1WGNQSpEVheS9RnFwrlRTIyJaUCmmvHM4Zaf1a9CDAIrB/e9nmkV1Md1w43WMIpRzKCdPsAehtgadqk5GJsPkkiLXMYpJ8wIoyMsZcSr0xXQwEhGlRK8Y48kTxXqxYLksSPMMj4A9XXXivN+xf9lRnVvWd+/YXN9KxlqIUBF03WCdxQxCsaqPL+yePrN7fpK9Z74kSVKs83R9TzYMoAJIFZo7HaeUiw3lYkWUppM8wXkCGDnQnI88Pz1w3L1wPp9Js4zvfvdbiWf6d38jLBalIZj4uHAdiqJgu92IJjc06sNgsHagbTvaRvKEi2LOenvN5upaHFN1xGAGidAwkkF2eNnx9PBAmsV4Z+i6lsEMAYwY8+s8aZqwWi1ZzGfMFwvyLENylMVT4HSsOJ/ODMMQQE65t7uun7LIdLh/FFCWBZvNmrZp6YJvw6/pUJEwZkZq/TgRDu3gK5A41ADTF14azCmsXY/sLwEjxxpBvaodPB5jB0wwbBkBZaUkbzuKZOqR5wVZUZDnsgcnccoi8iwih2oONMdduO4Sdq8icXqs64o3X1xzvV6KU+/xwB//+CNaRfx3/+1/w939G6pWWEZX2yvSOMIOvTjd6tGvwdP3PeezRAP1xjBGeHjviXTEcj5juZgzm83QSlg+h5cd+93uQs31YjwT6UhyaasKOwzCIvGS8WmsJSsz2Zt1hPWep08f+OGHP/H2zVtuv/iGP/zxe/quF9+DMFlUjHVYkD6EBv1n7tyMNV24Xm6coPlQm/lJFzpd41Cjq0lvPV7HC5gwSmVkTYxJsoIky6doPR9AbaWEgppqRRxBkglzQuUlxLEMb7qa8+6J48Mn2vOJxVvRUkdJxkTx92N8WAD9TE9b7Xn+9CMvjz+CdxSzJWmWoSIVgul70jgPPYnE4xSzFZurNyT5EqWCtt3LORG2Q8fQnmnPLxx2zxx2O6y1zGZzMiL46QFjnZxn/wonxrNeLfj2269JkzhkwAsYVlVnzscjTXXEWcdmu+H6+pbZek0SYqHGwnL01Wgacd83IU+zDbF+dVVJFFLXoaOI65sbtlfXlOVsylD2zmEHQx/Wxb4f8E6MRpMkJklk/e+6Dm008/mlRxt9YsKd8IvHLzaL2e3XIsTVo8FDNNF3Jkvl8ccOFE0CavsKgppuaD8uSqGzd69OvnypoKbGeZQRIxq5XzVDaA5QWpxXw/ePcLSRxhcJ0TwhKRS6qbBDF0xtBpwVN7+uH0IR7jkfD/Rtw5t3b7i9vyefzfjpp4/8/g8/8ulpz3y5ZHc44Z0RvUlwZHVhEzpXNcdTRdMFCmpAFrRSXF9tyXLZsK2VRUiEzA0aLyhayM8zVqx0j/sD9fksOlEFOlJoDWmSsV4vw3kEnAqIEljjJetsdEuaaAZMD7YbdYxqDC4eqVkqgE0jUj1mWvqpQBYNlJpyXkar5ekjDvmL4/kJ6ITzYNFEaU5WzsnKBUlWBJTIo/1ArDxF5FnmMdtVymol+hGULGiiB3zh86cHqqqhmC9YrFbEWTpdfxtonELpcwxdy373wvPjA+fDATN0FGVOniZkWRruH2mKPPJz5eWcN+++YHvVc3N/J4i4HvOQCO6pDfuXFx4+f+bx4YGmaZmVJW/u7yjnc9rekmfZREFUHnTQU8WRaDAXsxLvDNbJOeo62Uicc2y3W+7ub9ms12GBDku+G82URJvaNC27/Z7j6cyiLHDOh2zOgd3uyPF0Jsty7u/v2GzXpGkcDIsEGx1NR0ZhdN/3l2bYWpq2o2k7ilnJfLkkDvc03pFEsvD0ff+rdAjMr+4gxAKpMQpmLHxeGXSNIMXYJCrG8Gp5nbEAG81mJoDGjo6NHuftRKH3zl7yxLi4ZyqFTHyjOBhwJMRxiopTskjRu4hj3+GfPlNXZ5QxxLGm7xroNd0gk2Vw0kz2LV9++QVfffMV89WKc9XydDjTGw86puuHCbxSkcdjA9W+53QWDU8/DFgffkYv1PzNds1sNgubpccZGzZuE6iqCp2k6FicJevzmd3TE9XpKBm5AbwSu3dFnIi2TMBDyMuSvCgZ3EivluJdhWdkgnrHiaIFH2IvrNVoI3uRUlE4325aG6ffg5mDRmJMtPN4ZQU8iGKiJCNKMnScirGbFuq3H7k0WovZUdA8p2mGcY4kjoWSpSGPYZFFrBcZy1VJlqWMwcp9XVEfD5wPB6pThSPi6vYNWTGj6TocMq02tseZAWd6uraiOj7z8vCRw36H0jGb7TXz1VoM1KqKrq5J0oI4FrpaXgh1LkkzVptbsnxOFIllvHMeO/QMbc1p/8SnD+/ZPT+BdyxXa9bba1brDcY5/t3f/TPWKcbsLx/WA6Xg6lr04FGkL3QsI1O9rmvRWrNcb1gut6zWm2myKnRjxxDWp6queHp65OX5meVqTtPUeCVUsaHvsVa0rfN5wXK1lOlFlkth5MF6Meip64bdfs/5LPTcOBZ2Utt1mLoOTJNCmkUF3otp02xWiqHE/4yO51/jkRabiWI4TqaUHte2V2HrU8M3atjC5P+Vcc04ZpkoeFMz6C7j+XBMvhP+YnZkrWEYBpr6zCGwWJJgIJYXJVHSEJUR5+EzQ13Rd72Y48USq1Y3Z9mPZzO8s7y8nPj44QPr1Yqvv/2G+WpN01v+9OcPPDzvWK7XDMZSNy0U2cT2ETC44XiugiN4MBcLP0IcJ6zXK66uroiTBOcsdVVxOOyJokAdjDRJEpOmKc7Lv7d1HXJlZerU9wPWeuazOfP5DOUN1fHIw6fP3N29481Xv8F6+PDxE0+7fQDmBIxXRJcm/BVgOZ7l18X+1DD6ixbUe15dn8vEcmz4JTs6GNaM1zfsZ5Ppl4dIR/Kspan4GuCD3MoTaZiliixWZIkizUt0koESR2TTtzS7Bw6f3nPY7cjSjPXtW5JiMYGr08TPe7zp6Jua08tHXh5/oq+P5LOlTHfzGcZ29O2Bvm9Jupo4LdFKHH3nK0Uxm5PNVngl65HcpqJ9NH1Ffd5zOjxRHV7o2gadzNlcr8nzBVXT4dFh5qXRAWxTSAb9F+/uePv2HhWAg6HvxY+kOmO6jjyfsd5sWF9dkybZRGFGjbImeR9D1/H8+MzHD58o8pyqrulaqM9n6qbBWcNsNuP69pbNdkucJCGzU/Yza2wwcBwEmAv1ngoDgK7vGXrD+VwxXxQXjesUwaKnnu6Xjl9sFue3X4S4g8vNM7ktBUe4cbsVSrSfBshT8xjEqSKACeJ2J9a3aqQIhX9zAZkI98tUEEx1wYSQ+PD6DuUdiXKYTBMvM7JFQmpbbNcRuVE/Y+g6iU5I44hIyYWazWZsr2+YL1dUTceP7z/zw8cnTs1AT0z66ZG2nTMvMvIsJQouoHXbsTueOdWtiJ8D8muGgSyNePv2Hq1hMP3khNT1HXGkWS7mVKcTWjlM10le4PHA+XTEhexCrTWR0kQoiixltZwH0+Iw5UAaa2MH6qqezG2svzStbjxNAWVRXl+ouUETIJbWwTwjLAbST4UFSV80o5cm8WLsMRoQTTTXMIYXhzqP1rGEMge6At4EWbsijTzrWcztumA1j0kTyQ/y1lHXDc9PLzx8fuR0qojjlNV6JXb4k+HRRbNqh57zYc/T0xOn4xGQ6W6erWRKGH7GvuumoGZ5ODRpXnD/9h1KaWmQRipfKHROxyOPnz/z8PkzTVWR5Tm3X33F9mpNnhd4FB8fdlOxHcejpklO/nxW8ubuliTWmH6Qxt4J6JDnhRRiqyWzxULMi5xD4bB2mDQ2ZnQNrGoOuwN1VZMlMedzJeYTTYMxA6vVivs3b1itFkSxnjZlx5hLahjMQB8ctWwwsrDO0zQdu8OJqqrZIOZILhg5eWSSHScJfdCY/dqOfL2VtW6cDIbmUAcKohRMoUl8ZU+udRQaQ1nrFIT1LDSI1oUpHHgLFoNyIV/WvXLmdOKK6yc6uGUYDVm8n8KtVZxSJhHZLGaWW6KzaCGi0C/1g9Cb25BZ2LUdrsy4vbtlvV6yWq1oe8P7j5/5058/cm4Hit5R9AZHSx/OgcczBAfSp92eU1VjgsuwACKyVt3e3pLnudDmraEfxIRGR5FoGaNALdOK6nTi6fMHzvtnEg0qjWkbMGH9itKIOE5ljdeyTsexPI9d1/O821PVDQ6mYtWF9yR1UTBDCEWpMmYKwlaRAEqT0Q16AtZG1oyKBCCLPDgvRXQUx8RJJm7SY4i11qKLn76zAE9JkpClCUka48NUMY0URapZz1KuNiWrZUaaJYDH9C1909Cc9px2O+qqxnvY3t5yfX+H1wrTy/TfDi1D12CHFtM1nM9HTocD/dCzub7j6uaW2XyF84rj8cDhVNO0DUlakxel6MfKBVm5JMsKisVSNE+RwhjL0LVUpwPPD594+vyRpqkoi5LVZstmuyUrpBk7ns6cQuMVadEqqWAOU+QJX3/15QRuiq7MSSFlDFEslOXVak1ZLsjyQoBgM2Ct0Evt0NK2FafDnsfPD+x3B3SkOVc1qFGbrShKMRuZL2YURR5s/JWwMIw0IH3f07ZCKzTWhMZY9GxN04jm7dXExgbdldaaPCto0xZjf4Vr3eL6MhX82STwIvXR6hLTMAFjr6aMEyMpMK98oEaPfyeozdjE+ImtMUlzALTHaxWMQAZhlHUdQ13hQ/ZlmZzJr5Y00UmMrkJWZ6xkMno+V1RNh7Ge3f5IdTqwWK756tvvmM3mtMbwpz9/4N/+zT+wrxrK5Ya6aYOpm6PIMxTQ9QOncyVsiH6Qf5+ebjFZur+/Y1YW4AmO9mf6vmMxm2MGcXtNs4wojmmbhsPLjr5pGM3J+sHIaztPlomzbF1VVKcT9+++4OrmFh1HPD488o//8I+cm2aiel/KeKm/PQJkj2ZXI3AmZbJ6NT0Tk7TRKX38THGl11zSC4J5TqSnGLcRHJWXl59B1rqYOJPpr4p0YFgolFekEazLhFmekKWg0xSiROpC01PtX9h/+sDp5YnOwd3tW1bX96i4kDM91iyDmLi0x8/sX56oD0/oOOb67h3Z+lZowM5R10eG/kTfidFXVqyJ05g4W7DM5qT5DD3uKdgAilU0dUV1+MTpuGPoapROWW+uma/fUhQF3mt6c6Af5D4UzxCmJr3MI779+h3zWclgBrpWIu66piWOElY3a1abLWU5Q0XRpX8JkrbRPK5rGva7F97/9IHPnx+5utpyPp2JtA/01YTV1Zbt9fXP49u81MBC8ZcIvtEd2Iz0aaewvaMfAsun61mu57KnYkL9POIBoZb/heMXm0WiBB9dbHHHMbM0bz4YPMCFthhu5hFBcjYgoWK24IceZwJH2L6iPPrxsRxfYvJzYhTvjqPb8d+liHIoLAqHAVxnsHGCsR3ODMSh2Bo3D+8hTVOyLKWczQQNTlO6vufzwxM/vv/Mqe5wRLTdwMvhFJqSOd5DkgiX/niqeNmfODcSTt0Psikaa7m/3fL1V1+Ii1xA2Ie+RymYzWYslgs+f/pE1zTU5yN4z3G/o2sqtJaxsDhbysMZJzF5UUwZbqPm0FqJWDieTgzWYb0PeTVuok+MDSNqzEUUOpC2WmgR4Vr54A4nz0HYNJSetB0T1WRy/Qt/Hz5vmqB4MXQZhgHwAZVPJ8fIsTGJlUwU7zYl63lKGsvPZKylrlsen555ftpxrhqUjpgv5qy3G6EcqCCA96Jfqc8Vu+cHDs/PgT4wY7leM5uVRLEOaF5H19S4MF2Ouw5rTOC5a5JEFnitI8wwYKyja1p2L89iSHQ+oZXiiy/ecXV1RTmfT0L1rjecqor94YzkEsZT7qHWmqvtmtVqITSXweC8Ik3FWCHLMrI8J8vScUsN6JM08tbKuew7oRccDgd2uwOnU43yijLPUOsFRVmwXt9zdXVFVuQBxHFT0zuaB7hgznMppkxA/QeOp4r94UTfD6y3aqJs+KAdiaKINE1p21Zswn9lR5TlEx1vZPAQJsUXhF1N/w7ybDkrTSF2wIepjx06fC9ToEvz5y95iwFsY0Lt1aUZVOC1Ahc0lF4E/jZQ5JQdGKzG6AinFany+Dgm8m7S4DYheieKYxQwK2fkWUyWZwzG8PDwxD//y5/46dMzLkooTjVJlpL1MXGY2jsPgzHhvjiLiVfQCI4a9aLI+fLdO4CQbzfQ9T0KhD4bwtiHruN83PH44c/sHj6hccxmOX3kOZ3Pot01lnkcSwzH2KQFik11rng5ntjtj/QmRFpEEcpcMmCV81jchSoXOay6vFcdGnofADWtLvSsafahNDqSr9fei94wSojSNEQHSGMxXsfXMRyRlmYxDSY+kdYkUUyaKBZFzPW6ZL3IyFIxkjF9R1dXnPf7yWXUGEsxX/D2y68pF6uJcmmGVrSpzRnTNbRVRd8PJGnG9d1bVtsb8nKOc562bRgp084zZQ6maS5OrXFGXhRi3qUki7OtK/YvT3z+8BPH/Y4o0tzd3bO9vqGcz0mSbLpnj8czu90hrAlCiZOfX3F7u+W3330rsRdRNOksUZoiL6XBWyyYzRYhf1MJPXGQcOmha2mqM9XxwMvjJ16enqjrhrTKOZ8r0lQzmxXMZjPKWUlZliTp2CS6YD4mYOBgjGQUh/UqjhPwEhdUhcIpCnKGcX9Sr+6FOBaww7a/PhZFmorTtR6pp2HfHxvl6c+MjaJ8nQwELrIcoZYOONuHZv/iEzHWgBe99V/EbYT2Z3yG5DWFaYB3aDegnCNVNZGRmm5kL+gQAWY9nKqavrPUTcd+71jOC77+9lvKxQxjHB8+PfHf//u/5/v3D+SzkqY34MXd2Qb5UKRUYFBUwdneTHR7+Rk8m9WSL969JY601B2NNBxxFJOXBVUtU/OxUTzuX3h5esL2Qr21wZl9GESCYI2lOp0pZxnr7ZbZcovWEcf9nn/6x3/k8fGJEYIcWRCMf57MtwD7SmPvX9cP494fHLUDw0y93tNexdyNkU/qFYuM19zBwIJBKXSY/Oo4RimN13KOYmVZFBn365xZkRDHAvo5wHQ1p90Lx8/vOexf8NawefMtd1//lqxc4LUMG7wzDH1Le3hgv3umOT/gjGO2WDHf3FDM1hAH3brpiOMMrWK8bxj6BjN05FlKkpZTvjjocF/2tE1Lc/zIfr+jbw4oFTObb1hs7lksVsTJDOdlUNCbgaqqGKOudLiftdZsVjPubrZo5QXg6MXNdLFcMZ8vmM3nssZN6Eqg1YaG0ZlBAIXdjseHRx4fX6iqhvlcXPbzLGY2L9lur1mul6RpdtFWB7aZswYbwOFxCNIGdtiYV9l1A6dzQ1UJi2KxmAeAMGTMhsJffq7/BZNFHY+Bm2PXIQWPChPD8Y3Lb1LY2LCQ2GHA9A2mrWWC1nd4I83i6Eg33fyhsAYYbZqVHqkPgviOHf248IwPsQ4LmFbihKq9BWdQzoa3Ls1iP4iLVpZLgZ6mkg1preHlZc8fv/+Rp5eDBNnHgvp3XU/dRuRZQpponIsx1rI7HNgdT1RNP1kry7TK8ZvvvuXdu7eXxdMMKOXJ80Lsuz00bcvpfKZpapJYY00XtGEa66Dthul1kywlK4qJQuCs6DlccCgUpEqaRBOQ3LFhFJRPzq+fzCBkEYiiZOLrv7riF1pCaBDVyGGP9HRtUK/QSF4/D2MuWzDwCZbZk9Y1LGJ5GvFmW3C7iEm1UPI6C3VV8/jwxNPzjqYdSNKU+WLBertmsVgQJzF20uwM7Hc7nh4f6eqKPE25vb1huVqR5hLIPT70HhUaWB3s+mVkn+VO3Hq9F2RmGLDO0rUdh/2e4+GI94qr6xvWm/AeggU7zoZ7y/LyIuHZYzxMHJrFKNIksWhhrJOcmzIrKOdz8jwjji6h7qM5z9ggjGHoXdfTtR2nc83zy17Q06oRXVsUc3V9zWa7YjYrSdKE0e1WAAU7Ta/Gc+8DBfZ8rqjrGmuFati0HX0vG1lRis3yeIioPiHLIMt6jPn1mT7IOYMRDvfh3rZqJHRcJsZuHEd5J7RuO8DQ4/oW2zX4ocWbIdwjr9B1mCg+SoXNOWh/iWK0DvR0dLhmkkuG04FFIRt+rD2R9iSxJvUJOktR1kq+qhVqeteLu/J8uaSYzYhjRdf3fPr4wB++/4kf3z9wqDuILC+HE1EcU+YpaSLosnOevh84HM+c63aKy/AIKmqs44t3t3zxxRdTISTrkpMJufeiMRsGzqcT+6dHTvtnvOlIovF+FxS0NwZjHHkmAMq4/jhnOZ/PVFXNuemmSZDWDqXc5boFe/kLZqnxPlBqw5mPoov5micEhY/FmCfQskaDHaH4KK0vZhLjlGWkiPuL+QKInbxQhZPwOpDEmjKB62XG1SIlT4T876xjaCrOhz373YtMvhwUszm3b99xdfcGFcdy/tqKoatomzNd22DDhO5qfcVyfUW5WBMlaQDPpGixxogLXhIHfX3HkPXBoGykDDqGvqU+Vzx8/MDTwyec6VmtV2yurpgvliRZPlnjjyH2z7s9h1PFSLHXWta5LE14c3/Hzc2N0KURXX7kE+JEwLGyEEpxnCQoL26m1his6UOo9pm6OnE8SKF9Op0YjJ0Q8zzP2W63FGUpjpoBDHEh1NtacUy01onR0jBQnetJv2uMOKKfK4kLKsuSNNCH5X4bzcnkOU2ShMEM/1stQf+bHT+nm4X1LqxPryOzhH0UJlZ+1I+J9nAYOkzfYkyHM71MndyoF4bXU0Sp5eLpuZ7qupHi6C+vT5jnaRyxhlkMiTeTqZYTlAKlRuOtFoho245kO+PuzT3FrMQ6eHzZ8T/8h3/g99//mbq3JIWnGwaUk/t/ZM0kkRaArW5p2kHYGSOt3kME3N/fcn93g3eWrpfJNB7K2Yw0y+gHg/USW/Xw6RNtfQ6yIhumajY8m7InNE1LXTcU8zlFLiaFh/2O7//4Rw67nZjXqcDa8peIESZAw2InIyD5UFpc7n24jqM7vx+nk1qBiqY1bmKIjWY5r9hjSo0+FKHxDOsdSgYacZISaWEdRg6cduTKc7eZc7suhSmmfdAOtzTPn3h5/Exz2GHRXN9/wd3v/ivKzbVQRK3Fu56+OXLaP1HtHzBDT5IVzLYriuWWJJtJvqzSQXc+6jYF5JUargHKsJcmYfIqGu+2euLl5Yn29IB1UM6WrDb3zJdbsnyJjqROxVq863jZ7TkcZVCQJnFgtMjPv5iXZGmMNZYo0SRpKjm45SLsYWG4E/aKMOcVUMsMtFXFy/Mz+/2e6lzRtp0AF5EmSSJWqyWbzZrZfC7ZztPrCSvSWtE6WmfCdHEQmdLuSFW1MpwwluOp4nCocM5wd3/HcjED5H40gwlGOPKsTpFe/5njlyeLeMmpcoJuK2RyhHMT2uF/9mcLzmKN2MaatsK2Da7vwIbiaZwmjguFrF6XD31pWNQ4DnchK1CPi8/49YFHrSTbJVYIPcqLKYdkjvkpWDpPU4o8J0nEEck5x2F34F/+9BMfPj3hUMRpgnOi4RoGRddJdEWbyGbSdj2Hk1AfumEIhY4gmbFW/NVvf8t8VtI11TQpStOM2DnabuDh6YWX3ZHFbI5CApfTNL0UWIOh6YcwsTQslyvKPMcaMezp22ZClYuyDE2Rx4zIqrsgBmNzIN34RdTsUfiEi1EMyIOnebW4XxCm0eBDbqpxsVGviqdp2Isx0qDoSMKOtdLT+/DOkkZwuy54u50xSzzKG4bBcj43fP70xG63x1pLUeSC0qwXzBYL0ixFIShO13Uc9juOhwNKKe7f3LPZbGWBjYRe4VHhIbIoHfj4kUxt+75n6CWWBDwGKbD6TiiaTS32xEVRMF8KP74oyynj0oeiQkxqap6ed5J3k0rci2Kc5IUiejAkScZyuZTNJc2IgkZkik6YdByCshpj6HvR+bRNw/Fw5OVlz+F4xjvLajXnzds7rq435CFmhFfPobXjJNGGYX+Y3hrD6Xhmvz/Rdh2g6HspxrRWlLMZq+VCdBneTk69SkmuUlHOQrbar+uwfX+5icdjLJTCf15AkVDYOEFC/TDgTSfNYt+CHVBToxi0i+OvI9iiQ57VoPFaMvp8EuOjODyTwtSIAoVrbHUUEtYR4Ym1kuseJygt6GdvLcbImrxYLdlcbcmLkro+8ecfP/BP//QHHl9ONL0RbbGxnKqGOI4xJqfIM+JIipCm6znXLV0nJl5ujI9A7qu7+zcs15ugvQi07jRFa8XxdGL/sscMApZFsaacFbi+pDsfGFpxjGtqyYrySOFVliVxpGmd43g4sd/tiZKIvCwpi1JihnzPFPVj7fRMjldJKdFAKiW8E5FMjFpTQgTKBa2caKuhiB3/WwfN4rgG/ixHKzSKPpjzaC15vlE0AmrS1K9nKfebGfMsQisxN+qaejKzOR9PWOfJF0uu37zj9osvyedz2mGg7xqGrqFvG4yxRHHGbLllvlgxmy1JswKltURINDVNfaauzyKHyMQozFgpbrOuE6fdKKbvWoaho6lqPn38xHH3QlHk3N99yXK9IiuLQFVS073onedc1Xz4+Fmclot80qprrcmyeIqncM4JpTdKKFLRNmWTHCHCO7BWGBxmkIDptqlo6nMossX9bwiOvvNZyWaz4vrmmuVqGaKapIAeJ4mSv2YuDArnaOuO3fOeqmqJdCLGOb04QaPEiCTLs+ka45nWTAHIIvIs+19htfnf93BOaiQf1pjRnND7sW64mJs5P2qtZXrhrehFrRmZE1bWwHEAMD5Lr8B9NZqyRBLJEOlLY3JZ614VEloROUgiRRaB8qJfs0Feo7yfmsWm7SiLGWmacHN7xWy+wDrLy7Hh3/2Hv+ef/vADLpjOeK/oux4iNf2MUaRDs9hTNx1t39MbYXLYAPSlkeaLd2+ZzWYMYVqN98zmsxC/1fHx8wNdL8DC0A9EStYDzcXEpO+FKijfN6KczSjyEhS8PD7w4f1PaO/4+qsvsM7xd98/0XUv06DgohscGSoW5wRU0zaZngu85HpPM5kwRVSMtV1oFPVlqqhe19thHZx2PM+03qrw3MSpeEdIXeiJtWabx3x1t2ZexGgVJprtmf3LC/Xje9qqBh1x9eZrvvjur0jX1wxofFfhjGFoK+rTC11zRkcx68WKZLElywt0nF9YI2H1Ht37VWiqnTcMQ4e1A1ESPs8a+r7mdHzmvPtAdT6TpDk3t3csrr+gKBZEOgk/79hPKJqm4ccff+JwqmTPCV4nWmuyJCZLkhB2TzBmmlMUJXGUTIAio6eGvzC7zDDQhEZx9/IiGtwwedZKsVouuNpuub7akM8KxgQCxnre+2kg55zBhiGHOPQfeHjcMzhpaNtu4HyuqZuW5aLg+norAGKQihkzeiVcwLFfOn6xWexOx4C4m8kYYMyPm+ig0++C4fpAJ/DWTDbvYTYp9930B5gcBMPNjQ8UHx/c1QK1ShEWFRduZJl7S0QEHrQPI2IfppZ2CskEphMTFYr5vCCKxHG1amu+//EjHz48Eqc5tzdbzMMLh6M0elqLBqjterJMXIzOdcOpaugHO7mg2lC0ZHnO7e11+JFeL5RSfO0OR356/4mm6SiKkjwviBOZ3hknsQhd19P1hiFQrO5ub8izVCgaVoqyrJgxny9oe4tSkWyW9qIXnEw1fLCBD9rOCXoPi0BMMjWF4UKGXy+UkfHz5VxeKA9/ee29Z2pU8T7YZEcTKq2sIVGe7TLlt29X3CwTYt8yhBv64fGF5+c9CsdqtWCzWVHMZ6RFQZwmiOawFZfF85m+6ybB+WyxIEkyAeHG6Ye12IApeLxM/JJUXPeGgbZtyYtiKvj6gBZ2nVBFsjxnsVwyXy7Ji0L0LsDoijU4S9cP7PYHnl52OKXIMxF8O+dE6xIKWDG+KCiCCUM8LepCnRuLHhsoi9YYhr67uGGdz5xO8mHNwPXVmr/63W+4u7shSeJpgi5aLDddCxd0GT7cA9ZZ2qZh97LndKpwgXbkwiZQ5DlX2w3zhTjXKutlsZroOIosz39uuf0rOewgG70fgayJQeGnhRrGwsoH4GvUJfa4QLP3Q4e3Bq1CjuL0tdOI8efsCC7nVuhB0UR1UXGY8ofnbVzTXOTxNpKpo3zxVJhZJ2tdmqa8ffuG5WrJMPS8/+kTf/jDn3jaHUjzkqWOOTQ93noGY6jqRtZPJP5gpLO2XS8099HEywkwpYDt1RVJktB2TuzUs4zIasww8PKyY7c/EEUxq82G9dUNkVa4vqOrznTdQF2LQ7UN2Yqr1VJC1Aeh4hhjWK5XzOYLjPOTntiG4suOqL19PdGQs6rGplEJ+KJcoIary27kp4lKEPqrsfiRVxk12Vq/XgOZ7pNpL9SaKNJB06gmqmoRw9vtjNt1QRqJLKGpKo77HefdjrquiaKE1fWG7f0btndvyBdr2XOamr6vsUZM2YrZkmI2Z77ckKSF5AcrhbU9ZuipqzOn44G2FTpcWc5QSlM1tax3XStFD9B3LX3Xsd8d6Lueu/s7rq5vAvslQscjAVEOZy192/Ph/Ud+//s/YIyhyDPQ0nhoJXt/VZ15enmibt6xXMxD6H1KPE4Bg8O0swZnLCZMFLvmTFOdqE5HqupE09YCviYx6/mMb779ii+/+pLVakU0ufUSrv+lcPLWhWmlo2sHHh6f+fj5ia41ZFk+FbxRJHvTrCwoiyLQaeW5cyFvLdJa4gHiXy6g/jUek+xEUH4mx3c35kVfjKekgbwMDBj/PjSQowtmsHyenkM//aLwTuGVRbkIpQ1+bBbVOGW8ACzjw6exJCoiUrLWXrI/pcbTStGGeun6asvd7TWr5QIHnM41/+Pf/p7/+I//wvV2y02c8cOHTxjnqNuOQStJx/WeuO0wWtN0PW3XiWGgkUZxPNIk5vbmmigSaYhESZVEkbhg/vjjT/zh+x8YjGN7fc2XX3+DtwND27Df7XChUewHExgajvs399ze3eBMz6dPn/j08TNX2yuubm6wSmLmiuJvfsYIGjNsLxrFyz6vIxeaRanZPHCROsjTPBkURq/pp39BQx1pyGqUf43UyeA8rfXEoBib/QhFrDVf3i6535REdGCkxqof37N/ecF3FVGSsPriG+6++Tek8zXWiOO1HTphP7QVzlvKxYpisRFDrjgP2eJjEwy4QRgTbYUZJJ5KRxHWgLFB/+wMGEc/NBwPT5z3jwxDz2Zzw/b2G2aLFSqe/WzgMe7Vxhg+f/7MH//4J5puEHZJ2De0UmRpQpwI/T1NMxaLJUlWEul4qute5/y64GkyhPV/9/LCfrej77owFRUm43xe8sW7N1xdbcnzbBrK4MV3YqIWW/sqjsjQtR3Hw0myyI9n0lxi+4bBhDx3WK8WwftE1jgTtI1jvTNGCf3S8YvNYt+cQ2c80uMITVTYRMdOf5o0MaGvWkf4KMImEbbrcEM/6RfH7KvLSP01bk7ocMSEAC9GHaPJhPaCqyulsVozDk6VUtIQhQ1ca0F1rPd0Rhq6JE2mxqvve56eD+z3B7Is5er2hqrp+enjA/0woJSm15o26un6lH6Qh7SqJVux6yXnaRz3ezxZlgUnLBcy2S5FRT8MfHj/gefHJ9Ik5fr2hrwsA/2mpTpXVFVNVbe0gQoRacXtzTVKecxg0DpmvliTF3PiJOXc7GibHri41F6KmEDLCpS50SKe8Twr0RDKIOOyoEzmLNNxKaykvh2L5pHOItfdBQqG87KYxnFCHMJbNZ7YW8pU8/Xtgi+2ObnqGLqG6nTm+eXA8XgiS2LWmyWbzYKiyCRfDLCDoTpX9KGwTbOMu7s71puNFJABmZTFbGy8bNBTBIFyFJGmGUmW0Z8GmrolL1rSTMTPQx+yaYCyKJgtlszmM/IiJ4mjCYHxXjIt267nWDf8+cMDn5/2oCKSVOgC1hpGK/+iLNlebSmLWdB5hmdmpIuGjUAKYEFq+67leNhLlEpdY4YeZw1Zorm7WvHXf/1bvvrqDWkaEWmZoCuc0FWm13UTdcU5ocB0Xc9+v2d/ONJ1HVGcjleSJEkoy5TtdiPOrvCz59kjG4UUgL8+tH1Cxv+njqlJkDnhmLsl/zb9wvRsvNp88COA9aqQ0hqlQhPvLHgbcJywloaXHGMbRHsR40NUjQcRr49OeZFMrZxXkxbn6uaKL754hwIeHx55/9N7jscz11db3n39NU+7I0/7E6aR0PFh1BxGMdbK/dh2YmZkApAhIIigoFmWsV6tGKelOoqJwj1cNw2fPz1wOBzI0oS72zsWyyV26DhnBd4paYjaQbKkAjC2XC1BiTNhkqTc3S0pyhKvFJ8eXzhXteh+A5vldbbqGKExXgDlLd5HodgV9P0Si/IX1x41TSykL9Th3n9l/PG6URx/GSeQKGksokhe3lsib9gUEe+2M5ZFBENHV9ccX57ZPz3R9QNJlrO5vmF7/4bZ5oo4L2j715Mb0dpl2ZyiXJCXM5KsQKlI3rM1MqlsW87nE9X5LA7PeUEcqKldP9AP4pLXDwbvZV3qmo4kSbi9vWWz3pBmeSgwFeLW58KkTZgfL7s9f/v3/8hPHz4GaYM0CKMRyhiU3rUdCkWa5qRZJkVlcNm1zouO8dVEWIy7zhwOe86nI6Zrcd4TJxGL1ZwvvvySb7/7Dcv1KmikwgTMBc1OoNpb40Ri0Pc0dcfxVPHp0xO7fYVzCk9Ye7WmLAqKIme5XJBlaZgGy0UdzVZUInEOv8a1DsbJX6gRRsCEwMaaAK3xMxVOKzHJ8+GTwt97H4Gy+EA5vNSKP19MPR6cSJCcs4DCqTGOa4zCCjmmCrwzQmO0Mj2baJjyllBaUbUtQ/CJuL27Joo152rgH/7x9/zt3/49X3/9Ff/1X/8V//Lnz7z/+Jm6N9iqJgkRRUpBF0UYhTSLAaQ3Y2MaQPBxCgii18vjdKIFPj4/8zd/9/d8fnzi6uqKt2/fsr265nw6YI1k7jVtKwYsg0xyojji3/z171guZrz/8Ud2uz1fffU1680Wh6I3no+fHtgdTgGYleszxZu92kuU85Jj7j3OvW74dAAmR3O2kS0WhYxG2VOmqeLEJIteXfvx4o3fzxOFZjGKLw1+pi2LWcl3b5fMEgdDS1efODw90Rwe8IOBYs7tF1+z+frfkGQ5Xd/huxN92+Fsj3MSBZbPrynnK3RWMpknhp9VDFkczkkmbVMf0ToiSgripMbZDuct1g1Y24Xswj31+UCcJFzffc326o44W4VNeownCyTRcG+ejkf+6Z//wMeHRxyaNEnQkdRAkZIw+7LIWa6WLJarwPC4rCGTRCHk/JpBWGxNXbHb7di9vNC2bZjwxnjfovC8fXvPV1+9Jc/zoJ1H2EtjXe/dBJAZYzD9QFs3nE5nmSo+7aibnrSYTUVIHGvSrODmZkuRxTLFdC5MFeW1tVakWcp8MfvFNeOXNYtRDJHwdKdJ02vh6zi9CzeTnKtXpjUuwZsUlw3YXnSLZpDGUWiVNlAiLouWTORCUeU8kuMUnhc9KiXD9/Y+yO4C8mIdXgcHQQWg6Y0J9ADFrBAK6tC3nM41bduyXM5J85IkL3h43nGuaowRGk1kHcMQOOpdT9er4DLXizbQXRB37xFKS6zxzqNRGD9m4A0cj2fev//Eua755qsvuLm5BjxNXXM8HKnONU3TUzWd5JkNltmy5Ob6KizsmjxMpqJIIgweH57Yn84oHTPa7ns3Ltrj1NZP0zYVJgM66HVAFhOvA7U3nFtZJP3PPsbpigpZitM0eVzk/WiyI9OoOGTIRZEm1Yo8jbhZpnxxXbLKPMp0VMcT+92BrmmZ5Snr7Zr1akGaipZvcJahGxicwkcZaTljud6yWK0k6ygSNz6hG18MXUzI6RqzuKI4JtIxeV6Q5wV1VU+6g9f62NGuOysKiqIky/OgIYPRMXbkhp/ODR8/PfHPf/wzu0OFVxFRnJDEESmxnGel+Pabr/n266/IsmRquuQ+Dw6lXj6ccwyDWC8/P4plvBl68jRlPivJkwScBE9/++2XlGVOHIeJxquFfQwzHqljXdNwOsmi3PWDnO+uw1gHysk1ShKyLKKYzcT4acze8Q43TS09KEhzmRb82g6FCmCImjZZ+aMK9JyLXnoCuDzS6BkDQ4sfhIrqBtHxMGlGbdDzjJocprmNdwq8noCzkQ6jQuV2oXuHWY+TkGhrQ4huoqf3J5EJMklar9fM5zMOLzs+vv9AXdVcXW346uuv2N7ccarayXhndOsbBkMT9cRBA9gHsycfDJJMiHAx1jGbRaxWq4muphhjhQbJIn14oO863t7dcHW1wVnJoGrqijZY4PdDT2sMxgoqvlwtMWYgTjNWs8Xkfnw6n/n88Mjj0w7rFWMq4+tDwJEAbjBuQa+0ut7hvVTCArjL+uUm4MZPAxKtx0nvX5z/6bUvdDAVNts4iiRiyTti75ilnvt1zs0qR1nD+Xhi9/TI/uUZawyL1Zr13T3rm1uy+QodJ3RtS1VVaC37YJyklLM5eVmSZQVREjIRPZMmue97qvOZ8+lIPwwsi5KilLXRWCs6+cGI/sqJm2EUJyyWOWVZMpvNiJNU7qGw7o9OljbEoBwPJ3748Uf+9OOPtIMJxWiIVYp1yAKN2GzW3N/fsVwJG4NQL0zFTtDZONPjraFta47HA/uXZ06nI84aAXRtTpKlzOYzvvzqLavN8sKgCMZdNtAix8ly3/UcjxVPTy/UTYsZHE3TI4bZskdFsWaelORZQlEWzGflVPSP6P4Q/AeiKCZOxQzo13ZEUfwK7IVxIniZIF2mIj4YbI0RSm6M2HKXXOPJZX2cNgb6qnKjM/EFYJZnzYb/sohK4jVjSepL6zssMYMypC6e4nBGBkCkI05VTRRFvLu7Ik9TTqeGf/rDR/7mb/8j3331jv/r/+3/QqQVXdvS9YZuGGCQPTRLU5JI0UUGjQBjXT9gAnsrDFwAYQalWQZKtGtjfXQ+nfj7//iP/P5f/oRzsF6vWS4X4oPx/MTL85PEZ4TX7gdZ6/Is5+2be/a7Z3pr+ea771gs1wLSDQM//vSZ/8//998K20NrlB0zvscp+gX2F/xL3qxWKqxxcIlCuWRkC63+laP92ECODs/TZPfCKrisjTJ0UEom7sJ4kXtoFsO3b7asM4vqK5rTjvPLE/XpiEdRLhbMvvwtd2+/wMY5pm3pmzOuPQswE6VkxYx8uSWfL4liWedGQNATantvJZP2/MJxvwPvJHc7KbGuw5gWj0wGdS/ZhF3bUJZLttd3zJe3aB0jPMSgIZwo13Lf9l3Lh48f+MOffqDrRR+e57kYTyJSnSJLub254t3bd5TFDMZc7QAM2zD5s0YMoPpWjLv2+x3H45G+74niOEg2Ek7+RJYnfPP1l6xXS6kTPQF4EUDZvkoasKG+bWrJLJZoq0pcfp3sRVmaEilIEx2A3UVwYB/NcYJ0Q4nTfVkWARD5zx+/2CxGQQtzCV6PJtrahEiNN1LoqL21002mCBbnSSo225FQAe3QTw5oY5i6HZtM9WoRU6Gp+U/Q4GBb4J1k2uEkfHQqDKQcc95N438CIqC8p206jDHkWcoszdFxyqHuOBxOdJ1kiWnnGYwsLN1gOFcN1lgOp4p+GJhc9JQEEyulKYqCJBYTFucszhi6rhHk93Sgrs5kScTN1Zr5LKdvG06HvWQ+9p3o5dqethMUeD6fc3W1FS5xdBH0D33H7vmFn/78I3VdTxo3/5cV1Pi8ExrG8F7BgjZoG+Hjy8JzGZD4aWEfp5JjKOu0YvPKOS0MI8cmVSYNEXGkSaOIPI2YZxGbWcI6VySuoavPVFVDPwwUecp6PWe5XpJk0oiInXtPVXc4FbO63XB9/5ZivhRLfh0QpwnRFOSpD6P+0/EoLqZRxHK1JstjdJaKOcJptFruZRocJ2J5HcnvaZZJsG4wJBrpv+KkJ4Yb++OZnz488Pnxhd7YYEMfk+dpmPhptpsV/91/+19zc7MNgMv44IdizF1oBabvOO12vH//nv1uR5omXF1dsVouyNJEKFqnoxQ6ecKYSwejy5acDmvlNdu247Db8fL8yNB3YcELz2H4XB0a5BFBL8qCNE2mTRIlWZzjZCmKE7K8oCjLX1o2/lUeUzOg1UXHEQqXOAoa56CFmtap0PahNXGeo9IEXxR4K66ozhicEbfHS/P4ipaK/1mjeNmo/VQ86Qntjabp+dSsIEAeWqPw9MbQtD3We/I8ww5DiB/Ys1otub2/Y3u15VCdef/xE00n5k+jmVKvFHQKExywzbiOTSYJ0u8665jNZszns+AoKBuYOGvWvDw/0dQVZZ5yc31FFkfUxz3Pn97z/PED58Oerm1pe0M32MnIa7vdEiUpaZ4RJyn40fTqmT9+/2eedgfMK1e/8I5+1nxfLuj4y6XQIZx1NYKdIxjAxXXwotQZwbBX+uzxtd3F3MaD0FC10IQT5SkjWGeau2VGpiznw4Gnhwd2T48ohQQr379jdnVFUsxxKNq64rB/oakrlpsN89WGci7xElGgfCl0wBvGNaOlqU4c9juaqibLc8pyRp5LgzMkg1DFvFA2QXIsszSnyAuyLCMZDWxG8MLLNMcMA13Xcj6e+PzwyNPTM11vUEgUSpGlZGlMVgibJk0Tvv7qHV++eyfsGufRET9rQowZGDqJAGmbmuPhwOl0wJqB+UJ04RrYvzyTHI6UsxnzxYIoRHNM+u5gZmMGE9zGB85Vw8PjE09PO9IkE+fx+UCWHnEW8iylzDOKQt5rHPLwJp0X/lWD5INLdkKa5f9LlpX/Qx6T8/IE9sL0gEzPy1hIv6KhMmqwLqyVacIbfh8dTd2ULeum6c1lGj8+j2N9MVr4K/kegHc9Tll6DHnmYGRAaZn0eQ/H04koiljNS+q65dNPP/GHP/zI/d0b/pv/6q8p0pjHF5GJ1P3AYCweh7PCPBusIxoG8E4MBcPkT96qDyHsSrI4M8nJU5EMA9q25cc//8g///6PVE1LFEXMZjMirTjunvn85x/ZPz/TVDVtG4YNg+yjizIXmmEU8eaLL8izXLTFXcfj50f++//h3/P0ciCKE4ztQw0SmgU3OjBfij1NJJPdV+vcBcgffT5ee1C80i7+BRj2+hiB7cugILBdohitxPgn1oo3q4y7RYTqDzR1RbN/pGtq4iQiXlxxfXtLfv8NXkfYvqVvjnTnI8YM4hg937DYbElmK6IoZsyAnIYeTib+Q19RnfZUh0eGvqWYr8nKOTqZMZiauj4BQkPt+0aonYsrVutr8nKF1sJCuzCuTKCdB6qo6Xh8euKPf/wDu90Z7xVJFFOWhTjWO0sca1bLGb/77jve3N9PpjCj9GusxY0ZML34TVTVmfPxSF1LNNJ8vhBH6iTBWMfLywur5Zz7+zvJiR17KSeZzDZEYRhjgnGo6Ga7tsMaS5blFOVY/yuKImM+n6MDBypNEsqyuDCeQiSa+AwokjihKGU48kvHLzaLovXw4cG5LCAjYs4rFGpcZKSpGDnTFwR3woIVoh9DXNRGOop6PQ2bPjdsYFMhJ1xupaMwXJSweelfLtSZsZ/xHuq2p2p7+mAla0Izq3VEOUuJk5TWeOq6CVliTrRASsa1vbHUrZiUDP3AOWQrutAUjT+jjjW3t9eUZTEtlsZIPt5opuKtIU8iyizFdh3npub58YnT8UzXG9reUHdibuOsZ7vZcnV9hU5iUBHg6fuW8+nEy/MjTduIaDZwot3UKL9+4MPzPjbXY76YcxdTlVen3Y/T2lfrxn/K3ApI4ThtJugVA1IhuYyaJI4o0og81mTaUcaWjB7XVZiuAe/Js4zFvGCznpHkCV5prJXita4bqqqlXG5ZrNaUM3Ho05GeCnY/OX75KUrj+fFRchGbmvV6w2K5EhdT70nSlCRJ6INWSmkJ0s6LnCSRJnHMlQR5H8ZJIPjxeOB0OtHULae641w3tL0BLe5gZVlytV4wnxcsFjO++vIt3337DWmahvsxOLCNBb+TprhrG477HS9PDwxdy/XVlqubG5aLBVGkxCRn90LbdczLTLJMvWzOOGlwRCTt6LuB06nicDhwPp2Itef27o71egVohqDad94TJWGRyDIxWsplQjCZR7iLy653bpq+pr9SahahIVDegzGTNqczQiVxfY8NU5ERgVfhPowihVIROo6IdCTP0JhdqtSElCrlglQ7zCdD8TStk9OkI7wf/bpZGaeZY8iymMroSOg0/WCpO5kitW3P7mXHYb8nzzPevL1ntV5jjOHTp898fngSwwUuGheQQjmOZIozulBepvZeEH4Nd3c3FEVO33fTRtZ1HXVT0zYNSRSxWswp84TT/pmmOvPTH//A7uGT6HCblroV6ldvLZvlgndffinTfB3hnZP18fmFT58f2R+PdMPAZGc/NTdyqi4to9CLLpT6yx4yNuRe/YX2evy810ungkshzeXz/OuQazn/0QSMQRHDPIFFCrm2NMcdx/0z+5cX4iTh5vaWmzf3FMsNKs0FhGprds+PPHz+SFHOWK42zDfXE4vEK8CrIAsTDwHTd1SnAy9Pjxz3O5RSzGdzcRuNE6yz0/v24a1rrciynFk5I8tyiTZRalr38R4XAp7rqmK/F8rUOOGI44Q4luLp9nrDer0gL3LSNKEsMr7++iu2mxVRAC+sHbBGGjwz9HStmPBUpyN1VdG1PUmacn1zy2q9JopjmrrmcJBojiTLSFLJpJwMHYZhiv4xwyDU6aCt1Trizd0d88WCNM3pOzeBnlmaslzMyYtUJiJaTzpKCPuIk4ZUQdA1Svbcr+1wwXwLmCaHQu0dtYqX6aDz9ufNiQKNngxqlIz6gr4qDtMLMYJz2oaabNRI/rxJnH73Y40Z3hOeyAPOhQxrh4/FYVjcKGO6vmd/PJMqhR0cHz9+5uPHz1xvF/z2t79jNiuwxvDw9MLTbi952IHujlYTK2wwTkxQQvyZC8yN8f1ppbm+uWKxmIXiWvwNnp8e+fTxI33fh5gxobZ2TU1/PvL88FkYTG1H2w3BPEfW5tVqwfZqy3wxRyUpw2Co64qnh0c+vn9PFEesN2s+Hh9+RrOfTL0CkwNFmPiqkHWo0fri+hwWsQsI+rpRfJWjeFklx+NSE76WtchzEYfppCLVnnmuuZ0p4v5I3TxRn8/4oSEpCuarNfnNG+arDU5rhr5jaCoxOGsqTJQJS+zqjmK2gEhAcDf1Gl7WOtPT1mfOxyeq4w4ztGRpSl6uyPI5XmckSU4UJTgnNH6lPEW5YL64I8tLlIpD6yuTbZn+9TL9s4aha3l+euJPP/7I8/MTHo3SCWlWsFgsmc1KNI48jXn37o7f/e63lOUs3L8X3xIzDAyDsNraRqRlbS3xUEVRMpstgsmhDEXO1RnvHcvlgsVixqVRFIfnYRgYhn763QWdoVKa+WJOkqZEcUaSPfP3//g9zkCRZ8zKfGKcRbHcm6+v57h/aaVJs5S8yImTX17rfvFflVJ4IxfLdS2mrbF9K/pDa0LO4eXGlA0p8NpVCLRWo3HDeLNGAQkfkSIti7cfM0ReIRrhZh+bxdHl0gfTB62CM6AiUCydIKRKigPrPMe6ZX9uGPqeY9WKM2Us2sUky3BohqZhfzhR1a0I8L3DWw9OMyCv3XofLthlgjeSOZX3zGc5v/vNN8zLPNh4X4JmwU90xvHr2rbhdDxxOp6om47OWOp2oB0svRFzlDdv7lkulqgwJe26hqauqc4VURwzmwkqbawLNtfjzTA+835aiKdFYCxSpxvHhwzX1/92qZoE6VOXjLjXjWJAqkYetBilMDmMZUlMnkTECE1PDwYGg/ctGkuWKHSeUZaZ0IwYF3FP1xnqumWwnmKxoJgvxHgh1HljwWYGgw9FxGG/5+nhgYfPDxz2R+JEss/GokCcri6mFVHQMeaF0FOjJJmQNmCitFbnMy/Pz5zPZ9lolTiDjnllmVUsl0vu76+5vdqwWpZcbze8eXPLYj6T9xuKNzfaxVvRETZNQ3U60TY1cZzw1ddfs1wuJ9rLMPT0fc9hv6dtGuKbDUoR7rHLRKzvB6qq5rA/UdUNSRxxc3PN9dWa+XKBjiKG3qLjB6GgAnmeU8xmwsnXmuRVltzo0CW0sZCvFAqo+H/GNetf45GkqVDjA8DTN41QSvsW17VY04OzwW15nCwybbhGa9ARBNMAuefCZhziUfCvp/iX+RWvNu7pz3Bxhkao+drZCfSx1mOcFfAsirDG0nQ9zSDF1cPjMw+fH8B7rq+vWAV6y/FU8fKyF2MZJ69xgRw9ijFyIhiIjNPvERj0jlmR892335DEEYMZAoW6E41weL04jiBLMX3H06ePnA87Xh4+Ux3PNG3LuempekNnPV4p7u7vuL69xjsXdJKOc1VhjTAslsvlZDI1sVrGd/qz7UK9Koh+TuEdXfPG30fK24jCT1WT+nmjOU4VVVgnBRgLEQtKMgazWJHHnlxbcg2xs/S1ZVd1NPWZclZydXvL9uaWYj7HK83QtfLcnk88P3yiOle8efcNi801cS5UUrSEXk/W9VZcUg/7F54ePnM67sF71putxF0EqqoP7rUjS0RpRZwkAgylmbCGlJ4mFc55bLj3q7ri+emJl5cXrDEURYnxEWkqNPv5rOTm5oqr7Yq8yMjShMVizu3NlixN5Bq6brJ07/uWrq2pzifq8wkzDMRxwnqzZrlaMV8sBGUPTpFVVYtDbJ4Lu8NZjLdY09N1PU3T0rYdXdfjBkMcRywXC+7u7sgzKRqHwfCnP72naTsUWiaLZUEUnDB1FHKEQy0y0lrh543iGB/wazqGoZc901ns0GFMgzUDzoSw+kCZd2Gq9Bq8V9P+GSZMUySGvowExuZPjRKViykRvJ7ch9n/VLOMWaiemA41FvVO/CumyVgU8bI7cDzVzPOUD59fKBIxaPvu26/YrOd4YH848tOHB6qmm+oTADGtt9MAAQAASURBVK+iCTA11ooxUpi0hJJJ3j+QZwm//c03LOZFGAD07PcHdi87iqLg9uaGh4dHjBVAozoecX1HfToFs8KBuh1kCDDIurHdrri+2qK0ogv13Ol4xBnDuy/eQtnyH//pX0LMRngnPwO2puXuFdPkMo2SKWM4n+N69go8GyG1/wk+BpdGPlSLbmxWw1oXgLFEK2aJZ5k6dH+men6h7wS0ymczZptr5psr4vkGqyJ832Hamu60o6nkZ02vr1ndvCGer1BRDChGer8PqQqmPVOdj5z3T9TnA9b2RElGVszIigU6ynBenF2VimVQ5SFJC8rZiiSVRpEA1sva3QctdkffdzRNzcvzI58+fuB0apmVkglbdwNFOWe5XLGcz8kSWC3mfPfdV1xvt4H2azHGB6ZDH5rEmrqu6dqaYTBEUcxmuWaxWImzawBjrTEMuxeGvguxbKPbvtBY+66jaZtJTqXwpFnGfDYjzyU+SMBEzf5QhRpekSQxSRJPJk6X7FQ5xhx2jwx20uC1ovX/guiMfDYXfeEQYwBvB8lK9FZ+dw41UQxEO+bCYoES23K5J8V6XKtI9HHRZYHx4wI0bdbhVh4361cFlAqosA9fGytP4q3QUL0T1y2vJ3MZKThaDueWYTDsDhVtZ1gtCpI8JU5Tmt6xP5552h3oBsvrZsvhcDJIxYfi+bWRggjm5ZH78u09v/3tN2itGPoLDXXceJQ6Mwwm+O8oMZQY+mlBaQeZKprAd0604v7+mvmixDorrkZWHqCiyCnnKbx/lMZyQorc9DsjtS0sEiM190JPeCV8fo2uj+uFf1WBvWo2lZIFXavLkjMaFnhr0UjxlMeaItYkyqJMj7dnXNeD8USxQyc6aO5iiTJhdFOVRvF0rjnXHWk5Z7HakBchFsOP1uhyPcwgvPT90zOfP3/isNtjjGW5lHzGqxtxbBydWl3YHKIoJi8KsrwIxVM6ZeMQrnXbtZxPwjWvzmdxGZzN0VFEZ2BTGRbLOT7qubrecn93x3Y9Z7WYcXO1ZjmfSXHigkGI9wwhJLutG+pKXF3jOGK1Xk0IllyvUSNp2O92vDy/EGk1IVJmGHCBnlLXDcfzmbpq0EqxXi25ur5iuV6QZxIMK8xXyzCYiVKaF5JrN+p2RuRRJrbBdctIURFFcbDej/5nF5V/jUeapgxejDLs0AdgrMF1okX0zoqvw7gAq5EKH1gUIz3LibkSdgh6kEAj1ZeNeWpwxg7klWsdvEJ8A7gm3yso9SyB0oc463nJmm37gWPV0PQDzjheXvYcj2dutgtmsxJnLXXV8Pyyp+2kWI/iCGOCw6l1aC0brbiTBrBgpM5CAAAVX3/1JX/13W+kKRiGQKU2AYCRCf6Y4eStpWsuG17f99Rtz7npqXtL50QHfX17y2xW0jY1xljwijiKub6+ZnCeHz8+EEcXB1nv+RmFyo8upmNz/goUIuhPR8BSJBVj06j+ElafrpIUGK/+yo/0pbGwlD0vjRR5BJlyxM6CsRhrqIEsMswXc27ubllutiSZTBP7vg5Uoobdbsdxv2d5dcPtm3fE6YwoTqfpvg/u4mboaKoTz48PPD0+0HUtSRwzXy5ZrNakuRgteE8IMB+psnJd0jQYzojQP2TXueC+LIHV59OR/eHA/rAH71kuF8yKGdZLAHkcRWR5ymxWMpuXFHlGnqesVwuKIsd7x2A60dUMPU0tecJd2zAMHZHWrNZrZosVs3JGmuYh19MxhMb5dDyiFBRFjkIYI9YaurahqprgNyBGOqvFnOurDYvFgjTNUGoELz1tLw6XaZKT5TlZlsp00jJNhOWe9xO4C54ojsXEIwBnv75jbCwM4iJrLhRSe4nC8K/BrZ+xveSZM/qS2ScmW9EEzEwATBgi/KyuU0qmYfKC4f8jM0BYbHEcoUa3eWvxXr5eK4WxnoenZ5reoFH88P4T37695tvffMF6vUQrR90afvjpAx+f95i/8C5Tr5YE78dIDv+KmeWnz7u9vuJ3v/0Ncaxpm5qqqtjvDyRJzNt3b+mt5vf/8i/0VUtViQaX4Lbe9ZKXXfeGprf0Rl6/nJVorWiCy7n1ns32iqIscM7z+5/+jpeXnWR+ay0YpHc4J4wLr/3ktK7G+sw7RjPIn7lvh8+5gF+XhvNn1/Uyar6cq9C0jcZFSungEqzII0euLL6uOJyeyWLFMvPMFgtmmzXl5po4nwsQY3pcU9Gcj7SHF5quo5wtWF+/JZtvcDpGzCxlvzBmwA0V5+pMvX/kdDrQNxXOO6GPZzPy8gKoj4u07JsxUZSSZnPiROI2RB4HzpmQRS7Do66rqM4njsc9fduzXq25uS5p2oHPzwOnqifP5xR5yWw2Z1lG3N3dcHNzLY1dYBBKRFpH29RCw21q+l7Wp9lsxmy+ZjabBSBP9ljv5Gv2uz1935OlCXgXHE4H2ramriqqqmIwPXEUSU27WVMGJ96xATQO+mGg6wd0lAXgZgSix0fu0ge4ACqAMCyTJEHH8V/cF//p8YvNYhwn+EjcgFzIJDLdjKGpxbUsWN86O+CMQY85PXaklI48atn8rfJCm3MhDF2P+YkXZyX1ugsOAvkxM0uNm3wUE2tNoj2JM2gT+MJW4ayHSB4hY2wQF8s0sB8Mw2Am7aXSEae65sePj7wcKnk4lZomADoSKmUyZthxQXEiwMcxEYok0vz2u2+4u7mSB8ManDEorcjSHOscTdNSVQ14hVBBZfLZW9HsVO1A0w1YB0pr8jxhvVqQxJquG0KMCJJVFScYpzifm1eFXyheLs/81MSLbfzl/E6oanShkoz/PhaFSk2KLKYxSlh4Rq3cKLq2wZXPO4vGk0aaItEUIVBXmxaGGgwoXxDHGqUDNz0IpUc9QW8c53PD/nCmGxzrxVqKrKAvsSNFxjq6thEzjc+fefj4ka5rKcqC65tb1us1RSnTQiCIjWWs7xCKUzGTMX4cjfQZKQIJERP7w57j8cgwDGS56GDyPMN7iDpDWWSUZYEhlgJoLvSCsiyYzUqSJJL70guVUyaJ4nxb12ewltmskAVgtiBKM1BMujjnLF3bsnvZ0TUNN1fiVOq9GC8Ng+F0qjkcjhhjBPG/vWGz3QRNhL5MYUOjWtcSUh0nedBpCt32gjWO90+g4E65UGIsoF6pun5NhxkGFIo0K8Rmf7UO+oAG23cMXR/AMoO1Q3BddsHW3V0cBEdwRo3Ag2wOl+foFSgDlyZxbFxGMCdMKkczEYVCeZl8SAyKDxE70kSe647jqabt5Ofo+h6voJgVaK2o64ZPTy98/PxM3faiPdERSSQ0Wa0gDt9rQmBHWlag56FE+/XX/+Z33N5ey9Q7IKdxkuI9DMMgVO2mEcOXsHHp8LMa72kHS9MP0iwO8v7jNGWkkoMmSRPiRGQC/VlyT0ckdHLiVmIFPLFTAggm9vAXB0Bx6xydF8f9Rl8+/uLe/9kxIvmBhjtOWccpRawVWaTIIo92A3YQbVSSeHyaMJ/Pub29Yr3dEsUJg5GmrG0q2rahqitennd4pXnz9ktmy3WQWWiZ/tgB14shxP7liaeHT+ye96LFXksRIi6pefi6kZ0RwuyD0dboTqon/a0g2MaI9Xp1PnM4HDkcjnR9R5FLLleZ53jnOTeDMEZCZmKaJtNHURSUszI4gY+U0462rTmfz1hjiCPFcrliMV9QzubEcTZlUo5si65rOOwP1PV5MkhzztE2PU1TcT6dOQUNWJrm3Fytub+9ZrmcoZXGuKBD8kxr7TBYiiImzzPiOBJX8/C/sQYYbe2HXvI7o2yM+5Bn5Nd2JHGCjyK8z3BZiXeLkN0m9ZwxfYg1kDXP+dGx2QfaI0CouQJAjbO418/UCEijwnRWXRpGfj7TUqjQO8pzrJWaogpG4GOknwM03cDD847BCk21blqWywWb9WKa2Hz49Mwf//SebrDi1Kw1Wo9RVhFxMHgBKZNGk8IRYAcBvb/68h23t9fYoaOuGuq6JklSVusVaZbz/Y+fgt7R0LY9pusxbUvXjM2ioW4HOuMYvA+yLkXd1GQ2Ic1zFoslcVaCl/iZl5cDg/FEaYIfNIIQjm6oQS8amsSLFGjcO/6CURHWyP/JJjH8zGPEk1BZX33OZP4ySs0k+zKNNZm2+PZM3Rwp1Ylis2S2WLDcXpEu1yR5KawI0zG0HcP+Ubw56jM2zllsb1msrkCnXGQvFtM3AjDtP3M47mmrg8jUInEnTvOcYraY4iF+JqkCtI6J4owoSkOd7YKBoMWYjmEY6LojTdNQVweG3jAr53zz5RuJ6iDi88MTs394T5adxP09EenNfJ6yWa/Ig4P+CKSLA/NZzIyaGmstaZKyWMoAIMvLn60j1gtd9XDYs3t5wVpLFEWYfsBgaWpZN89nMcMpy4L1ZsPVdkue568af6nrjPEcjuK3Us6KAKKO982lURxv9tGwDoJvRXKJQfml4xebxfr584TA6hDYHqcFOk7IynkYvQ5TYDwBpRL3P2kSR8E4Y/Mi73AqgEakSYXp40hRvRRR6kLHiiJUlKCTlDjSxMqiO0EW7DAwRGDiVKyEIWwCwkkWHdHYDMkmUTcDP/z0mQ+fnml7S5IkFB6iyBFpJahpmkgjYUOQbdArOQ8OETuXRc5vvv2aeZkz9F1AebzQprznXDW8//CZ0+k8IbJxsFl31tMNlqrpObcd7SCObIqUSInNeZLIe9dKBT634lTVPL3sME5iIcZiTeZ+aspVdLIaiNupUigV7PgDzebSMMoio/UlZ+zn4nc/oRXjLSUido/pe5zp0N4QaQmxzWPII0eCxduOmIFUW5II4kiJUDy4sjovWhljPadzw9PLgXPVUi5XMnFYLEFpBiORK0pBW5/59OEjH95/YL/bobXm6uaa65sr5osl0UgDRE2ZN2MBpbQW6mlREMWxNHPGiD7PGNqm4eX5maqSaeK8LCnLkizPJoOn3sj0JY4i8uwSRo53QtNIItQ0nTEMvaFpxOa469qAsK/YbNZkQTwv3hWXJtyYgbZtqJtmmoTqKBLXyqbhfKrk33TE3e0N26sN88VcuOdj0W8v+ZdVVXE8nugHy7xISJMkgCPhgo7ryeiY5YJexPmfo8K/wqPePYcpd0KSpaR5STSPJ1fYru8YuhbTD9hBtA6y5tlpTRidGl8jnZOjJkwMidcTfKbnCy4ofJjwTowBMfGSV3ECylkfzLvEMOlwOkv+q/GksYBwcRxLOLt37PYHfvjpE48vJ4yXvDDJQo3JUpkyjgCBHWlZ9pLHNoJos7Lkzf09cRxjrSXPsqnoatuGl5cXdrsd/TCQFDlZkhBHauR24bwSHXhvMM5jlLj2OhXh0CRxhlbiBGqM5VTt+fH9J/78/hPGeqGVG4dNHHGYfIo2dJRBXCzgo6Cr+ktTh8ki/mf/fWnWQ2s+XSMfmBYSbyPnh8BoSSNNHnlinAAJvsdoh0oiZmXG1dWG1XpFnETBfEvomNX5RN3UIkHoeq7uv2B7d0+U5ZODqDUDQ1fTnPc8ffrAw6cPtG1HWc7Zbq+YL5foOAkRQ7Iu6VD4jRMZpSQbtZyVZGkWkH6Dd56h7/j/c/dnzZYkV3Ym+KnNZx7u6GNMAAJggmRxqmKX9Ev/7C7pB0qLdEuzWGSRSWQiE4lAjO5+/Q5ntNlMVfthq9o5NxAJPlC6RRgW4uHud/JzzFS37r322muVpXi57nd78jwnDEKuLi+4vBLqMsaQ56VL+APCUDzWhu44OCn5MVEUDB62VVlS1xUKmE4njEcTxtOpE9qKAXXWpXUzr3VNnh+cj2Mm+66paZuKw25Hnud0WpOlI26u1lxfXzGdjGWG3Qv/mB7dy5hHU4k64ngk85nadQKwMtXqO4tN05AfjpRliVIM68YrRf7crq6tRcRLBURBhBq8JEWMxs+HSnLdDIXjSbzGDIA6+MJPPc/ZzsCv058ZgDNf7oDPLhgwaaUUUaDQnGT+exMSWzmXjlXJMS/dz7MkScR6NSdNxBpgs93xX37/Rw5lQzqaMiGk7XvJFRHAK0ti1x0yDiBzw09nZ1ycxLx8+eKkcWA02ThjPJ6SjsY8PW35h6++pihrQhWwWs6ZjDOeDgeauqV2xWLV9U4zw41NhRFxlLBYLIhGYwKv09D13N/d87jZMZrMyGxPrVoMLYExhC43UCoYxlpOtHsB/0Of13nLJZ/fBb6zy/AcXIsLa5XsH2Wfne/WnkSLQDRE01gxiiDoK9ryQNDVpJOQ1WLBYr1iNFugnMCWaRtsdaDc76k3DyLGCMwuXrK8eS22NCqQYtVoujqn2D9x2D5SHp9o24YwTpktpiTZdBBzi9MRQSizzN4/Wvc9CksQJuK5rZydiPNclHGenLIsqes9bdsRqoCrq5dcXrwkTUZ4TQmjBRj0TAwRbAwYZalYuik3TuQA+KoqKQvJ61BIF3K+YDKdE8fpoH8BzhfTaJlT3zxxyI9uDxiKMqdrBbgrigKtOxbLJbe31ywWS6I4HnRcvWaCsZam6dhu93R974T5XB7h6NScPVZrGZwcgJPH5o9B7J+4/mKxuP/hj6gggsCZd8YxQSyI71C4BRFB5v4RR5mRWUZ7MnAdTlzzPD8aFvBZwehoQb51ajnNLA6ocBhJsWh6obBoTdc3VMZSB5AGCUEUoI2l0zIQGgYyRxPGkpSXVce3H574+tsPlHVLNpowdXStruuI4khM1pVC9z110zjltVAQKo8yW8tqteDFixtRLfVB1Fh3cDa8e3/H9+8+0BvD5cWK1XIuoyiOj182HYeyoqg66l5DGJGOskF+PI5TlNborhOOdVny/buPfLx/EGpAFBMa5SgEamjNWyOUjpM1iQQWCSixzK0MPjvBM4Tq+S95Xid6sFDhtKPadm2D6TpCa4nCgCwQpD1Wmsj0GNuShjCdJMSJclo9SrouRjnqaSfzVNs9edmQzWa8fPOGq9tbCEL6XvvtRn7Yc/fD9zx8vKdtW168fMHFxSWLxYwwCpydiXvp5tQN9uqFUZyIwEMslM6u68B2tG1PXogXTpHnjEYZi8WSySQTDngg4ICRpe5UdgNCp/rX95outG5WiEFmXDzsWrEFiELG4yXj0YjpdEoUh6e+hrUDwmZ67eYxnZdZJLNkVVWju5aiyNFOlfLSJaRJksgYlhWJfGst2nWAZfayYLc/0nVaPDBDKWi9OthJSdj7jQnFwtPK5TX+lHHB//hXvXt06ztAOTuRKElJ0xFRIl5xQZQShwlROhruUwCyGIyAZOdWM4A7I35EC+fMD9OcRCD81yg3mx14pDhQKOvKF2sFtDLiOVq2HaHuOBYVZdMJigoEUShrSynKsubd3SPvPgooJt5OMo+TJjGT8ZgoCqnrhrwoHcVS9opbyg5w0UzGIybjMYHzHgvDiN5o2rrm8eGB9+/fU9cdVgWkacJkkgGGtm1kH/SGqrOUvaXWUHeWLI2YL1didB2FGC1Mg812x/c/vOeP337P/eMTxvp5MvGCNImAYcqBKziwK4giN08lc1XnxaHvLgbBmaS8pwH7ru6PEHiLzCfiRAeMIDDEgSULIAksoe2dWXSPjSxZmrFYzhhNJhCE1E03qDQfDwfy/EhV13TGMpotuX39hmwyBRBhkbalKg4cd4883b9n8/CANj3r9QVX1y8YTaaoIKDXvRiIDzQ66cIYKzEwimOSJB1MxHvdiYpo15HnBYf9kbIosMYym824uFixXC3F60spurZ1Xb8WgDhOnPy8GgRBoigiy2LCMKBpeinwupYoihmPx0wnE5IsI4mluwfKeXzJ/dXGqVjXNW3X4cdWpNjUQv/Lj2AMy+mUy6tL1usLxpMRBIq+d959WtO3HU3bOy2AmiCISNMM1GkGV7ahGtaH7kuOxwNlWQiVVnECD36G2NjT/TeEUSzd3ThxzKRImCNetdtaAhUSO9py5MCkwRvYz8c5VorPDSSHOOssnpBn+f28aeBAGIekSZGIdPRiQkxj6Y2h7Xt6HYnXsbUcy4qq6YVeHQRMxyMmoxHKWDZ5xf/xn/+Wdw8HLi7WjCdjRiNNEgeUdSM+h2HgigDEm9OeikX3YlGIUMhiPgVrCMKQyXRKHMeoIGK3P/Dv//f/xD989S1NZ3j7YsVvvvwF47Dlh6qkrOQ1Vq2m6jSdFfXzJI559eoVq8tLxtMR2kh+2VQlX3/9LX/zu99R1Y3MtjU1gTYEgcTswDp9jkATuDxTOcZE4GblQ/e7xLroBIopbwXlLx/XLIExoGR2/NTxPSm1e6ZTFIVM0pBIaXRdErQVWaxYr5es1iuSyRQVRShjMG1DXRZ0mweOuy1NVdAbmKyvuH71Cdl04f4li+1bqrLg+PSBw/aBti6wQchqfctsfctoPMIS0LY1fd8OXTBrZbZW9y1932CxRFEqhaRyat62pW2FyVFVB+pahBVH2YSLi1sWi0uiKHNindD1Hfv9XnxwnYsDQKjENiUMpIHTuwZVXddUldhV+Xg3m84ZjyfS3TwTrPNd0K7tOByPPD09UVW1xM26ZrsV6462qYnCgOuXL7i9vZVuohsdMC6v9xojWosQ5Gazxxg7nGnDv2dPWiQKP5vdIYJFalg7qJOf5T92/cViUdeVPBQUNggIooQwTdFJJt29OBZk0z08FQJueNNzz884WPIxBX5WJHAB256cYAcu+fkNPpmQ+kJSqIuBgaCB3jhfvd5SxwGTJCKNpWOke2cA64baISAvKjb7gq++/cAhL5lOxlxcrFnMp1ijqZvGIThK1CqtPpVNimGTWQtxFPLyxS1Lp+YG1iHPlrZpuf94z5/+9DW73YEsTbm+vmQyGdM1lcwrdh2lE3xoevEyCzC8eXXLy1fXUgy7h1yWBQ8PDxR5ycPjjrrtJIgEljAwEEXELsH0yZ7YTrqkylFExIw1dqj7iYZ6ru7qD40/+5x/Lp5+2kmnBS9uoxRxaAnRBKZDKU2kDLNRyHqeMUoDAqWFwWcsXacpiobdIWe3O1A1HZP5nNeffsart2/JJiNJnnpBn7dPj3y4e09dFCwWc9YXF8yXC+IkRSmhsRmLeDzh8RxfBPm2e+QKexlMtp2haVv2+yOb7Y62aZlMxqzXa2bTCUni5mutpbe9zBx1PW3bD8W5R0Bb5QQ6epmnEIqV+PNMxuNBsj1OYlEjPAvM1klEexDBc+K1trRtz3Yn8stxAFmWcHl5wXK9EqWuwHHzz+oUAZWMmwfqORxzDseCXmuHQJ08JP02Vcj3+1kmb9w6iE75A/5ndnVlgYtQEAQuvtV0SS10yCh2puA+Bsn8Bl7YRilUEInj0tm+ERqqVxNUZ50qZ7Csu4GN4T1ngSHRGij6ePDMPwfXKe/Ey6lu3Qyro1SJAFhAWTXcfdzww4d7yrImG42Yz+dEYUjbd4RBQJLEDssz1G1E23u6q2MUKEmfgjBkuVgMxYQUtRbdavb7Hd9+8y1PT1s6rYnCgNViynQyRtcVVdWwz2u2Rc2x6egMtFrTtTXL+Yrrq7WoYxvxeyyrijIvCBRkaYpXkxWmVHBWNMZO+EWArjAMfoSoPzeqPs1pn3c+fNpy6vFaLMqegDGUGmZ4TS+AaKSEJZGEikjJ11ndE8YB8+mY5WxMEgdY3dGUFcfdnsNhT1FUVE1Lb2A0mfPizVvWV9eEUYDRDbrtqKuS7eM9Tw/3lPmRLMu4ur5heXElJtAqoOuF9qqNIYqeJwheMTFyfl5xJPepbRvyY06eFxRlie404yxjtVyIQuN0QhiGaGPcfHVL23bUVQ0o8VgLPWovSPww64wIhvS9drStGZPJhNR1nwPP7jFmuMveX7apxTOsqiqHfmvyPKepFFp3JEnMfD7nYr1muV6TpakrAN1Mm5HObte2dE1HkZcUeU3fe9DDOs9F+TdjlJyDLhlsmoa2aYS+70DpU6f553V1TU7XBs6cXUDjMEoIY/Ej9qI+Q9xSSGxTXmAuwEn0nhWJHmw5AS8oX3a5S6mhS48rOIfuh7siIFQQm4jWdfM7LawjYcJbiqqh7TWBiiBQzpc5ZLM78B9+/y2//9MHRss1s/mcySjGWss4S6ibdlBFlTntnl5xBrA8z5en0ymTUSZzumkqYkvAfn/kv/z17/jr3/0NZVmSJCm//uItN5dLjnffcTweyZ1fdq01nbF0Ton/4sUNf/Xb3zCdzbDKYnUvStFff8N333wr9zQMaLpO8EN/HoWhSI+pAEJz4qJ4AOynWBQ/FetwKbl7DgI84rq/J3or/tx37JkAQ5ampLGCvsG2FTGGi8WCi+tLsskI3Ly6rku6/EC+21LvNtRVTWct4/mS67efMV9fYoMI5URs6mLL5umRYv+INobJYs388iWLxQoVZ5Kn9Z2jmp6itBdd6/qKrhcwKwjEOcDYHt12tF3jKP8Fum+Jo5jpdMFydcl4siJywKlVQnc+5mIV1PXGAY7C7AnDgCgOsZzU4UWltEUFislkymg0ZuyUpmWm8DwmuwZL31OVBU9PG3b7PWVTkcYxxzynbcWSZDafcXNzxXK1EnACn8ObQWzIx86+7dlu9mx2Bcad0bJ/XaHo0V5O54LES9nXoQNL7bNd+NPXXywW4+lc3rCfnwkjh9pKhzEIo8HQE0e1ksHJs2PXnh/BEjAIzpKgs8Us6/nUQuW84PQdMimB8L1Vq5z6qrGYwH2d66w1TecEGDRdZ8nLlqed0LXunnYc8pLFfMZqvWI+n5JEoST5SlD7rjsznEU69X7+q9cy65MmMS9eXDMZZUOk8fLGRZ7z/v0dHz8+iGHydMxqNQcMZVVzLETEpWx62l7Ta43CkoTwT778gte31/RtIwdncWS/3VJXDdPZlJUOSJIMlEeV3P0gkHvilb9cAulYqGfd2VPy9PxQPKPNnf1/ANtdh1ioQx3GKSAqpFCMAgiVIbA9GAgCQxIpVvOM5TQliRR+pLVpNJttwW6XU1YVVgWsry958eYTbt+8ZjyfuedQU+YFG6fQF0YRL1694ur6miRLhX6l/OGm/ux4P/H7A+fRJGvEGI3pDG0jHpu73Z6u65lMp1xfXcqaiE/0Zdmw0sb3Uti+U2SMfLyxYrNRNw3WhIRK0H2vyhpGIaHz9lLPX+RwgEqhJjOWRSEzidunPWVRcXmx5M2rG25u5PWFkesOeqqtObegYfh5Vdnw8LBhv8+FuhwErgvpHql/CW7v+GF/nyj7Z+9/3s/tUmE8FBYMdJ54CPrGAtpJdqkApSwEGqOegy0eZxd0PRiEbc5lyjEO1zVGikXTY7Wn7AudVSjhbqY3UARGg20xKnCFoPj6BUq8MLU29MagrRx6ZdXw8WFLWVZ898N7Nrsj49GY169uuVgtMNZwzAuatsVY+f4oVMSR/HseGAqUQlt5V0kS8/btW25urkmSWKTnu56mqvjw/j13d3fUdY01hjQOmY1HRGFA3fUci5rtseLpWHFsejoDURgxHY34Z//kS37x+adUlQiXGC1I/sXFisVqSWcVf/jmnaw7V4gHUURoLaHRxNaiA3k2PlnyBeOJkRKcnTeug+zPGjjPoM6ASTt8Sgp7b2YsyVMUKJIQogACZTBowDBOE5ZzMX+3RlPVNfvdju1mS1GWGAtJljLORizWF1zdvpAOJNA2BcX+ie3mgcNuDyrk5sVLLi6vmS1WBFEyyP7bTgRJjD9jfRLuxL+Me25YUU+utRbbpc2GsqyIooj1+oLrqyvms4mj2bvZ7V7ie9MIVbUoK0D8BxXgvTm7tsOPmXjfrslkQjYSUYg4jp2Alj3FOONfp8w3tnXF8bDn8fGB3W7vZn4iurYjGaWsVyvW6xUL132OneKq7lwnd+h2uX3QGzZPe542e8qqFlaKtc62yD1DOO1Px6jxFD8/0+qqpP/fB5//P18qTIbi3c/Honx3Tda+7I3wGWAc+HngQVfCA8rPO4ink009+03uMafn5c4q+XflnAmtIcSr6gtLR2uxr/JnVNv1GHV6bmXd8t2HR+4//MDv/nSHVQmvV3Nm0zFpJPEwDJWbWe2pWxED0UbhPee0U4iUF2tIopDXL2+5vr4gycRWwBpLnhd89aev+Zu//XsOpXSA1qsFL6+v6OuSp82W3f5IXneUTU/ZGlojc3Moyy9+8Rlf/OITlBKA4rjb8Xj/AFbz69/8ivunHf/w7/+OpvP7Wqj1rlJk8Jc+AxBPzDB1ysXPZhcZfvnn8KN44bNbl3P7Peqto2S0BrI4IrYG+oZAd0xHMTeXCzLHNFHW0NctTX6g2m4o9zuapgEU49Wa2zefsrh+SRAlQjvtKhmN2dxRFAVxFLNaX7NcX5GO5/hCwBpzOkOH9WSx1vv7No4qK+tRwPFKvCvryonNwGSyZD5fMJ2tHQvrBNZbq2m7lqenHQ+PG/FaDwUYC9SJsi4qrZ5OaqSbmIzJMvEpjL1QohI2kMUMa77XHWVVsN08cf9wz/6Q07QNURigMEzGGRfrFauLNZPRCNx7wc9kGjNsJj+qVFUNdx8fOOQlCgcc8JziPxSrnOzQrLHP9+6PgJKfuv6yGurycuBDn9Dz8BlywRBskUItMK4SPqNWDQXj6fANrJUpHOsVNodTe3jRw+CtK1AG1NdtPEEEFKjQyfoLkho5m4q6bWm1QaMwBGyONV99/0CWRbRdL7SbtQiTBEEwUIzO0Vnt5nasS8gFyTx5wSwXM968uCEOEUGCXvxQqqpynZycqmkBy3iUksYxdV1xOBx52u7ZHnKKqhE/ITfInY1T3rx6QRhAftjRdlL0ziZTLi+vyUYTqv6DjGmgCMOYMFLQK4JQi/iOCv3dJHBBethpAxXLH5bK0bIUZ13z58/FOg9Nv/i1xvZiW6GsdqbUAVFgCZRFoVE2IMCSxgHzScYoDQmUoTeKpjU8bo48Pu5p2550lLG+vuLqxS2LiyuS0Yi+EzW7/T7n/u6OIs9ZLFe8fP2K+XpNkqTSARCJSBfg/Jp5Vv665NAMh5zWhrYVJceiKKmqijiOWCwXLFcrZpORzIq6BF+b02Bw3XYUVU3nRIxwiLU2RroIrZilEodESeJ8DOPhkPVdwPM2oHy/HZBXrTVlUfDxwx0PD/c0ZcNiPuX161e8efOC8SRDxum84IYeupLWbzLfDdGG7XbPD+8/sjsUpNlIEmqQ+2ZPQQjrVYC9D+fpHnqE3v4Mi8XR8mKgcPhZJaXkgPAJkBpQrLMiA54dxs+o2g5l8QPnXuwFNwYl6zRya/esWLQukLvXE4WKwPTYoKdtI5QJSKKALIlkTgdDGAQYA9pC3Rs+PO0wv/sDq/kUYzSj8YRXr255dXtFHCrKuiaNQ6yNxErFWmd5Ezq0UeGY7bKelGK5XPKrL3/FdDp11i09dVWy22y4v/solgd+DcYyBtA0HXlZsctL9mVN0WpaDZ2Wc+JiPuF//pf/E69uriiqCt1rsTYaj0jSlNJREztH+Q7CkMAoQuUO6zCG+JRcBuo0g3g+h3heE4JydkGuC+ssSE7Apk+mfP7ki4weq0VsLAogiSAJIVZGaGHKEkYBk8mIyXhEEAR0XcvhsGfztOF4zAEYz2fMViuy6UxUQadTVKDEb3X7yP3d9/Rdy2J5wcX1C+aLC5J0jApEgY+udbM1eiiEbHxaU9r0Q1fQGDsoMVtjKMsCYy3z2ZTlYsl6vWY6nZEk0TCP7eNJ3wn9VERlGgkpsuAHL9yuP/l0Bipw6HowCEOcgKbT2jb2hHB3XUtV5Dw+PPDhwx27/YEsSQjmM+azOdfXF6xXKybTibBHXDGrvfepceIf2s14dh3HQ8HdxycOeSWdJN1L0obQ8Y2zJADPuEFAvMirtDvLEs6KoJ/RNZosT6wit9dVeGbYfl5o4MObev7LdxTdFzz/2LPg+GfNWWMcCwaGolHhaJJWxLbOuynGBCKs485OL0SoAA388f0j77c5xTHHoHjx4pbVYkoSuzPfMoBrYSh5ikxrGNcJdyJe7vVZC+vlnH/2T/8J19cXRLHMZ+dFyXff/cAf/uFP7A9HAhUSJYrFfErXNLx/94H3d49sDyXHuidvNVVv6FycGacpv/jlF6wWM477LdvtFt31rNcrZvNP0AR83P4tZdNjCFGBgGbuLqKedeX9R8+AyB8D0Gdf8+d/9vdYdu9pVIxTvHOzqYESUZskClCmQ/UyVrRaTJlNx45aLh3FKj9SbTfU+ZG+6SBLWS7XzF9/wvLymiAdoZ1PbFMc2O/3dE3FbD5neXnDZHFJGKf4jrPM5Rm0F/syvdOGCNxrdCq+Ropd0Z8QRlvfSwdQvGWnTKYLsUhzc/F4z3FkvCDPD3y4u+dYlCgVDQrwURQQhSK+JNRcWfNxLLmdzGGLYFfwjBrpc0ZhABX5kYfHe959eMf9wyN5WREow3g85uWLW66vr5hNJ4RxhMJi+l6otH0vea5v7uBYeU3L4+OWH97dUVTtqYtoz2cajX8pUix6wNM1TILgNBbz36oW/3JncTw9dRaH7t9ztELoJ/4IOaEAcqO0k/i1z5KgIYAodyC7gvHUhLT+J5wSap9U+4Xu7otSIcoJtoShIQyFHqaUOnnnuP/yuuGH+yem44zpdMzVdMxiNkEFapCe7TqhEPbe7N5zw32B0fd0WhamspbXL264uV5jdU+nrTPllGKxKESd0IIbPg5FLalv2O2PbHYH9seCsm7oekGf+l4TqJA0yairmigKmEymYnWQihTwsaj5cPdAWbfSAUETalGXDVz3a7hTA0p+HiI8KngKMOfdQ0c8Hp7jswXov854kQdZdGGgHMJucW6YoCxBCFkaMh7FRIEI2TSN5ml75OFxR9drZqsFV7dXXNzckE3nhHFEU9eUZcl2uxO1T625ffmCF69eMZsvCKLYIS96mB/t+56260T0wjKsTSno5Dl68/qmEXl37xE5nU4ZjUduviYlDGR2AmPR7mu6XtO0HUVZk5eCmEVBREd/8kGzhjAISVMfSFIxTg2FOu0LuRM04pFWl0hpH1gK3v/wnu+/+4HiWLBYzPj8s0949fol2ThzVIMTUm50PxjDejQJnGBJb9juDtw/bsnLBhUlwx63Dpx5Bjz6z/ml4w/v8xmGn9k1nq9dF1Bih1UnGjYAA5h7FlDPgLDT83QMC/d5F8Xkd3ej/VcMKqiW4WcMPX1fZIZOvdiACYIhkYoCv+cUKpHOtUXWam8su1JTto9sjiWfvr7l888/4cXVGqXsqYNnnES9e4/GCq0+cmiqcuvfWghDxSdv3/LFL74gDIOho1gcDxx2W9qmkS6kK2DaTnMsKpIw5Glz4OlQcKhaqq4X8E6BNZbeWqIooteaOElI0pGoEztp8uMx5/FxQ906K5JAXovMKxlMKGtRK4XR5lliCx6EdjO87s9SIFoMeiiKwfFVXPfxGdqEHSjhkjxZKRYDKRbDwBJhIQxI44DZTICmvmsoypLD4UhelqgwZLaYs7y4YLIUq4sgijGmp6lLdtstHz+8JwxD3nz6K9ZXL0jHM4JAKPPet1e6ai1NVVKV5SBwFjtFbJnh78WLsOsJg0CoobEIHs2nM2bTCVNHEQ3DYPAW9vFEOyp9Vdbkx4K+788Cgad/mmHmxWIJo5g4SAmjk2jas9lc4xkp2tl1NFRFzn6/4/7hgcenLU3TMs5GXF1c8uLlKy4uVmSjTGaH1HMqsHa//MeaquJ4KPhwt+PhcUvb9sMaEPBL07X9iS1hLdZ5K8ahSMiHoRPas6dz8ud2peP5IAClghOY5YFjOIt77noe+8721nleMey7H3UXz36U797KT3NFyk/dYuVl/nGABy7fPAPfHAh+t82x26MIlixGLBZzUp9wu46hB0zO47jvjvfGDLPZIDHxy19+wq+//IIkieg78Vp+/+Ej3333HU/b3TAflsYyevTuw0fqqubjw45NXnOoe6rOUGsr1h3WkiQJFxcXlPmRx4cH4jjm8uVLsiyj6w0f7x74+tt31G0vYxBWgF/t748RA6Xn54o6O2vObh8G6xh4olsxfOXzYv4nDn3PUvL6BL5YjJQhMB0hhvkoYjEdCfPKaNqyo813FPs9bXGkN5bxfMHkxUtW60uixQoVJxjd0lXiL13lB7CwvLzl4vqGeLIkCCLJ2U3vxnKkSGybiros0EbOCaXMWffsBLQa3dP3geuKB4zHM0bjKePxhDjJTkqh6gRG6L6jrEoeHx+4f9qgjSUKHRPMgaexKxZx6zeKY7Js5ERwvM/j6Ww/NZt62rbhsN/z+HTP4+MjD09PHI5HmrZnNc/49O1b3rx+RTbKhBJqT/ls33fiaa8UXifHWkNTdzw9bfju+48yktb0hIFf71pmYbUff/HPlWHcyeKAVRfT/7uLReW9PHyh+GdcaDlY7RA85CYpn0DZU5HojE4YDmFfGKpTYHDQEudKWwzzVMNuHha5b8HLgwqFA26HEDQoW/lOpDaaoqxlo4chfSdzd7YXZcGu7QdD6EGu2TIcIL3WdJ3w3XXXsZpP+OKzT5iNx25WToZXm7oRi4SypG4aOVSd6ejhmKOU4v5px+ZQkNctrdb00m0mjCJm8xnL5ZzJVKhBYZyIFL827A9H/u6P3/L7f/iaqtUEcURgDN47zMHl7ix0kdEXe/7GK1Hl8ovI06+sL2J8Z+T870MQAavkeSqsdCORBE4KdeXkryEILFEUkKWRzO5YsXzYHwq2uwMqVFxdXnN9e8N8NSdMR/RG0xTd4FlU1w2j0Zib2xdc3dyQjWVeRySDT4lC3zY0rUi2N22LtWJO6ufNcAeL0UIxtkaS1DgWefvJZMxolBFHoWM/uCTUF5dtT13XFGXN3lkUyPeHVC4B0Y4Om6YJo9GI0Sglif381Inz6Tufz2SfraFvG4oiF5Puh0fe/fCO/HgkTRM+++wTPv3sLdkoG56tBEfjAmo/dHUGCqmb2e17Q1XXFFVD02lSN7Nhzjr/AwB0dg2dNhdQfPDTTont53QFSeq6h3ACU05Jk3zODiCVPEDvV+Q7UT6gyeetKwJlPEA76oc/qu3ZntKDatsAqg1egdLdDE2Hqgq6qiRsa3pCujig6zRJqEjThDBQgrQa6aMYa4mbDhWGrFZLkjjmcDxwPBZSfCk10KJdiHB2AS5h1s4+RymSOObzzz9lOZ+J5UNRcNjvKIscYzSxU+Btu56+16RJzKGoaZqGx8ctT8eKoulotcERbQFoelFFVWFA6uffEcXOvKh4fNyw2e4xxq9HCEIlyU8YijjDcL9PZ4TFugHHM/xRAUrQaBEQAtAEIVjrUHvXoTxnH3rpeD/DFQQ4CqoiCRRxoIiDgDCOGKch4zTGmp6y7MiPOVVZkSQJ8+WS5eUFo+mUOMsARds1MjulNU+bHePplM8+/5LZ4soJyAWDuX3f95hOaFdlnrPbbNkf9sRZRuCSmzjwyb4HxnqCICFNEuazGVmWkcQibBS5mZxBrMSDVX1P14p4w/5woCgrVBASx4l05fz5gCVNE4lxKhzsmMSORw1xzQtlWBejxOOsIT8e2G+f2Gw2bk32KBWwWi15/eY164sLspGz97HWFYZi1aW7lr7raJtWlE/rmupYkOcV2+2BoqjQ2ghNXylhehi5j77DL89TEscwitz9CIc4oHzr5Wd2BYGjaAfeUkK5DuOZwOBzOPOUeg334zl4L9ePCmz/c9TZt57fU5+bnF2naOogaysarfpMCTSKQsJQoYzkdr3W8iNDESHJ0kiAMzdCJBZQWn4GPgZLh7r3FNSz5zwZj/j1Lz9nOspo61pUeo9H+qYmRGGtEsq1i9F1VXPfVlRVzf22YJM3HBtN3Rs6I69fIVoJURTSdB2ry2vmsxmEAW3T8vjwyP/5X37HH799T28DgigmMh5ssdjAg7p2iNUS78zZ/T01cgaKfSDP4EQwfv7Unhf8nHVhGFL1KAyEbq8sodVksWI2ihmlEQGarmooy5L2sKWpa8IgZHlzxcWLV8TzlViCBaEDiErqqqJtaogyLq+umF+9IklStAoFsXSvVhThW9q6pDru2Tw9ESjF4vKCMAxOa9N65XbtOuaaKEoYjSZMJnPSbCTzh2d0aZ976b6jLHMeN0/c3X+krGpUGBEHTlFWOabNwAoTq4ksG5H42USveD7kyaduYlWXbDZPPD0+UpSigF3XDW0rFlcvb6558+qFzOW7ct6DagIoB6Ls715z17ccDwceH7c8Pm7Z7WrqWqxb4tALm/nuoTnL39QAAoi4DU4z5izX/+8qFs/sBzibdfMvwHcdrTuRFadCz4vZDEmR60SdRZ2h2h06iOC+P8BpYbu143/m6dtFJZWhcPXJgiigyk2O44QoighoTj5igVg1lHXLZn8gTSTh11oGnwVpOhVOkSsUVaOcOawsTqUstzcXvHxxJQezR7DcYVgUBXunyGaxg6hKWbfsDwXffXjk6SAHZN879U5k4PTm6oIXL26dPLByB3jLfr/nT19/z9/8/Tc8bA54o1qZlWIIgkoJriSLgFPxcMqkpLA+B5gCHMca1+lSbkZUUKpTQe8oi9YQuqIwDIKhsxgGuMNHFmMUioAGKMqypSwr9oeCIAx5cX3F+uqKyXQKQYDuW5pWc8wL8rwgUAHX1zesr25YrNZEyUm2uO+F8qv7TpKPWjyQ8mMuiUfdQaBYLFdcXl4RhgG91rRdR1VLV3Aax4zHI6aziaMShA6vsMMcl9BVe455yd4JxDztjnQ2JE0zxuOWomqkSOsNNrKMskw6inE0JCtDg8r6YC+UAByydXTqWIfDgb7tKPKcvm1I45DlcsEnn7xmMs2InO6CdO2lo9h7tH1Ias/9sOR5+vXdaStiAcOMhu+OcXqdFkFww4DQSuInsy0Mndif2+XNpQfUXHk/UddQUQ5ZlI9wPidqz2LXKdyeYsiQdvl95b7WGF8otvStk6jXncxGKsTeJoqFQmV7guqIKQvQFa0NaaOANosJlVO8zBKqphsSojiOSNKEqmr44f0dy9lEzNdrUSaNwoDEHYAyj2QlMVdKBKgG8RAYjzJurq9om5r8uKcshXIaxWKl0GlDWTe0zt4GpajajsOx5WF3ZF9U1D62GgGujLFMJ1Nubm9EmdgKG6XXmrquyYuc3f5AXtYO+VfDmSK/eZCDUxz081DaP6kz0EwZpyqrREyGU3Lqn7OxYj/h34N/lv6rxANOOotxqORXFJBEijiwjLOIMBAbEd01VFVJEAYs5tJRHM3nhM6cuW0aiuMRbaC3lvliyaef/4rZ8gprowFd1r0DgnpJiJqqZrfZ8u7dBx4eN6SjMX0nM6CethYEAUksPyNLU6bTKfPZzHUSvVS6HboSnqLUdh1d23E8HPlwd8/Hjw/0GsaTCfMe8rJ2c99yS0ajEePxeFCL9nRgnzBpj/i7rmjfa7qmYrfdcn93R1nmAlLEojg8G495++YN19dXZFkmSaEreo0TgtJeyKZrqeqK4pjTNg1914GS+SLv/6sCNRTARndobUTcDDlHgkDKkjAMh9eAy3me0bh+TlcQCvjsfwXns73nlFI4O0Q4/e2URzz7w1lx+Ax2PP+LJCpgfRdGDUkyLm75dWnd1xoLfS/jP8QQxzFJFNH06tREUHYQTGzqmiJVpC7v9MUiLjmOwpA4EWDAi/+5E5AAy8VywfXFgqo8yrnedUSB4vJiRV3XhN99cOtC9DKapkFjOR4LHvbCoKh7Q2/9m1eAYTYdc3t7w2K5Ik4zrDXkxwMPD09889Wf+OpP35HXGksioFhgTw2aIBB/cvcsTjTRHyf4vvBX2MAObImhkXD+knxqP3yrry4l6xMLE4jDgCxSJMqSKcskCZlkEUlg6aqSthTz+L6pSLIR65cvWdy+IpnOIYwwALqhrhqaqqLTmnQ0YXH7Kev1BSYWL1e5S97+RijlfVVSHPY8ffzIx7t7eq15aQw3L24JosDlpThQvBO7OpS4G0wX4nF45qkpt8+4wquhKHM2Tw98uHtkfzgQhAHz2YzepE7A0HWkXZ6bxOKNGaeOQXHeJR8At56mbSjLI5unJ56enmiahiQJGY1GAsZimYxHvHn9kulkJO/D10HuOXmq+PAzm4qnxw2P9w/UTUeWpaxWGdH3H2UkakhDDNbN4yo3Hiaz6G5vD6NnjkVlT8D1X7r+Mg01Gw8oxdBZdNX5sES9/YVbxMr6z59TGZGCz5oB5cDaYSbx9GJ9AtbjOy9K6WeB47SovUoroCzGyuHQ64hOG+I4YjqdsF7OaNqeIAgYjxJGWeJmMzSb/REFTCfSTgevsMRZYHHvmcoJLMiiyNKE1y9fsJjN3LP1yAJ0neaQ5+wPR+qmRSlFlsTEUcR2n/On797zcXOkbDp6N2eElcIrDgy/+dXnXFyu6U1PVwpilR8LNo9PbLc5YRiTjUaUfQV9P9zlYTbU/e4Te6+K9EweWgUExkIsCZhRylmeKKw9oc0eDLDnwV0pmUtUImojcwD+l7C4wiCQTmModICm0+x7oecGYcj15Zr15YVQsULlZlB6irzieCwIooSL61sub14wns4J49gFhn7oxvikoakrijznuN+z2ezYbI88bg/kRcWr16+YTOZko4S266nqhrrpZLZmMmE8dWp94UmkSYoiRdfLQbPdHXh398B2n5OXNXXbsbq4ZDab0LQdu/1RgAoryNZoPCJNEsLwtCHBuhFeNczCYgxNVfJ0f8/Dw0fatiPNMqbTCUkYUuz36K7l6vKSxWI5eIX6TPhkvi2JmCTPLi8eEms1dIpk1kfUWbWjI6C8ma1DmAfgwXvV2WEv+P3xc6ShBmF8Qgc5IbPnMzre63SY9/QHBKdgOyTf9iRQoGAAXvCfN1KUSJM2FNqlDQQtV5zWokN5PcXfGp8wOxGuXpOEEaMsYbmc0xvoOol3WZaQJQn7ouTv/vgty/mE8Wgk9GorMVKFmiji2d4GRLJea/lZKK4vL1nMphz3W+qqkvnkUUZdNxSVCDtUdeP8GyOiOKbperaHI5tjSdFqetfs01YSuzBS/LN/9lf8+je/AqXoOmF2VA55rpuWsm7Fo8yq4ax4lh+dH3Se7ugT2x8lUioIUQRO/lwSZGsCLEa8eV2cNI6pISDo6awKcIwJZUUMKFTu90AKxlDAsq5rqWxL3zUEQcByPmO2XJJNRyIQo8RT7bg/sDscJcG6fsHLt5+xWF5hlRR52nmtCs1cuiB9J/TS3e7Aw/2G93ePaAP7Qwkq4NPP3p7R7WTNpmlMliWuIxMMe3nocVth0fRaYvDmact3373j48d7tLFcX98wns4Iw8gJvEkcCMOQ9XrJaHTy2jwJKvh5M+ma9870Ps9znh4e+Hj3ka5tWC5lZjOvWtLHDS9e3PDq1QunSoqbE/UxrkN764+2oWlqqrpC654ojoT638GxlPjY9T1WKfEjbTuwWmaA42iY97buNUsMOKdi/vQa+jlcXtL/XCFY0KnTrOI5wHmGkQEMMe7sb392Pe9geVaTL3ZcpyNQBK7gUh6QMXrIl53gKtZApzVt1zNKY8ZZwniU0tUG7dhOCstklBDHMfv9kcD2zKZTQiVUU2Ot63pHIuKlUsq0GQBAH53jEF7eXjPOUpqyBCxhIDZAxthB8MloA+5M7XtRdt4eS3ZFTdVpVyjK5XUPfvObL/jyy18QJwld17B52vB4d8fxmLPdHUXUhgiD4gTgcuqGwVDcelsuO8Q+d98lmcOG4VAoWusED53q5flTUqizc48BOPJd4FBZ4igkCQxJaMgCRRZLc6CvRIW0r3LapiOZTbl++wmLF6+JRhNMEILp0F1Pl4vYlNGWZLbm8uVbpusbbBDh632rHXDadehWzoDmuGP39Mj26YnjMef+YcOH+0f+zf/yP3Pz8gqs5EFd16F1T2IVo9GE2WxBmmaDmun5mSB09IbDYcvT0yPb3Y78KMJjF6sVl5c3HI4d3373TlgWnRReURyTpNkz/QnrXrxnGPVdR1PX7Pc7NptHDocdve6ZTCbMZjOquuLjXUwSh1xdrrlYr2T1nT3DUw7vgP6+oy5L8jzH9B0XF2spOqOIh6eSKJYxAy8Mdd4AkMbN6Rn7HCZwzQAvmGStHUa1/rHrLxaLUZK6YlEWFmeL6lR0uOTSdZuwJ1GUQHlEVqEI8LMjvtTj7AGelLFkoFmEUyTIaCOUR4+CWI9eWYfZGCMeS1YCStv1JEnEeDzi5uaKIBQRh9EoHTZ91/VUdcvGHmn7XgRNomh4r2IMHZHGMVrL14uvlGzg5XzOy9trRqN0UCXstXVKmTWbjRQr2tEdkzSlaBp+eH/Ph6c9ed3R9Z7O55JxKz6Mv/2rL0njEN2JN1dZFPS9Zj4dE6cjana825Z02mI5b63zTCTl1Plwhzg8C0IWoV5ZT0WyblbLJ2D+z3CK3C7wKaUIsaIyFgTud0UUWIe2hzIPhaLrOvKiI4t6oihkOZ+zXC/JRhnWBdy27Tjsj2wPOcQZV1e3XN2+YjJfOEsSxSAw1HV0LlloqlI20kGGpY9HUTX9eL9hs9ljCfjVL38pSmiNdDa1NozHGZPJmOwMafcoizXyHJum5XDMeX93z+PTnq6XDT3KMtbLBYvFAmthu89pnWBHEkeSkIfBsP49XcQ4xMf04nNW5gfu3r/n4f5efHVubpivVgQqYPv05A4NmM2mZGks8MhA7RJKVde2dG0D1rpiT5KA0O1bT90JVSjr2Akp+c4CFrznnJ8l8YlCoBQ4pD100qke9fu5XVGcDgcnvkjkrGBE1rhH5rwiKZwllNZK4WGkQ+b3myuzfZblzgJP/UswJkXr0dB9Ef8oO6gVKgVBX9M1BzR+lscOdEEdhWRpxvXlmjRNaJxKb6AQs/O2Y9/1NL1mMmoYOepgZq2j2MsAfxhKITwYYWtDry3Tcconn7xhOs6cYEBCEMVOrXfL+/cf2e729L1BBQFpIrT5fV6wO5Yci4q269FW2AwiZqGYT8f8r//2X7GYTWmqQuwOygpjZfaw10bAma7nRKJSp24hp8TGKyf6P/vr/M9+PMJ9xv3E06FsfYwb9qwduisOQxBAz9tluIIxDOVjAUYSo8aChigOmS/mTOdz0vEIFYUYa2hqiUO7/Z6mM6xvLrh+8ZZ0NKfVFms6+r51XUVHLe97dNfStR1lUVIVFV3X0zYtedlyLCpGoxGv37yGQPyFq1osoKIoHhBqz44Z1qEDnHSvaeqG3W7Hu3cfuH/cYFBcXKy5ubliNJ6glKKoG8qqASyLxYyL9ZrInZtikG1PNCorc5ZtW9M20gF8eHhgt9kQhgGvP/uUq+srul7z/u6RJI65ublhOp0MNCrTd3RNQ9vWdE1zouM643hlxeIgiQXsaWpNHOcODHNz4MbQ6544ELp2lqXuTBHvRa01cPIoO6dmWXNaPz+XK0pGzwrCYT56QBpPLSflO09D4TgkYWeX/bM/PwOuXa5mlTCwPHFMAQQWZbx0v3VfqAWQcC/AAG1vqNuWcZ8wyRKuVwvi6qQvEQWwnM+YTyeURcHOGoIwJg4ZtCuSxEhnKA5Jk5i6aYnC4NkrH2cxv/ziU1aLuQOnZZ/0uuf9x0f++NU3HIpyiB1e2K6oG7Z5SdWK7+mptyFxeDqe8K//xT9jMZtQljlPj48c9nuWqwXXNzfoMOUP7x4xqhHAync8h1zO/+5Bw9P4yol+b4cOsZess0phA4N0VXwVjn+Yp3XgO28OcBbahZICMQ4YRZosZKCj9m1NXnXYrqHvGibTGdeffsHqxQsYTSSXsGDamup4pD7s6QxMltdcvnjLZHUNQYKPt8IEaOnbmq6p6epSvBe3Txz2O6dYC9vdgcev96TjOf+3q9Xgg962rRPYmjKbLcWb3BVCUgPZIf5V9ZHddsNm90TlxtLSJCNQIVdXr3n16g33Tzkf7x855hWKkDSNGY/GgxAYnApEAZy087I+st1u2O92lGUB1orlz8UFWZZiNzITOx6lXF1ekKapy+fOdpCbr9a9A9kaYa6NRiOWixVxIswIbTTH0lmtaY2Ko0Ht/9Q4+ClV3HOAwO08YyTX+0tx4y990ouIqPNo4VbZuTG33DJJqAahGr8YXcLrX+Czz3kENACcmbkM4xowEdZqbKBRpneFqHvoSBHjKQjaiDJnaDuaVtG0sdBLo5CVMyvvjfB3w0DEGYqypGkMbd9R1aH4raS44XwJonEYESUxbSFWCF1/KhavLlbcXl+SJtKptAhFr2laHh6feNzsqFuNCsQPrO0tj/ePvLvfUDaaptUYa4jcfAcEhAo+/+Q1n7x5QRBYMIo0y8hGI/Hs6zs+bg4cyzsOZU2vLZ4K4WfQziVzPcpr7OlzQ/7jaKjWhA7V+ClTTl9Y+tPBl+qimhqqQArEEFGMcpSFNA5Jk2gwdS6MIQsiZqOU5XLCfDknzVJZ8I7mWRQVu/2RtjNcXq5ZX90wni0Io2TYjDip5Lb14g5SSJfO7Lqta6zWlFXNbn9kt88ZT/eUVcNolFJWFUVZMxqPRd49y6Tzebb5tdGSgBUlu92e/f6I1pqryzVplmEtBGHIan1BNhKUaX8sOZY1SaSYTceM0hil7KAs6+mGvmivqoLdZsvDxzv2my1RFHJ7e8vlzTVxmtF3IibRti1BGDKdTeRQcx0AY0Syvq4ksBrTO8uDwJnyhkPSIwcLqMDT7vyMse8u4L7vrLPoOO3eDF5ELJRTkJPZoZ/bFUUpwzyh7+zZs9zpvNtIMHRvPZgWuKxqmCPxQJj7/1CoSAWJRfbkOZ3Vq0T+WAxMYaGNoMwwYUDQS+w0WosPXhwxSmKWyznj8Yi2FZGntuspywqFou17tDZUTedyBkksoqgfhvhRQtX2fmRCj7dcXKz5za9/xXQ2xatF676nKAq+/+Ed795/oG5aUIo0SYni2HnZHjkWFU3Xo62n2p8Q7Je313z+ySd0TUPTNFhgNBLxJq17nvYFm/2RutXSWXTPyhfhzwUOzhIn/D3mFNOGBFgNL+G0C84uXyQOz8132uWcClHEATInGjmlWmvFAqJvidDEYcpoNGG5njNfzIkz6eRo97yqqma/zymKisX6hsub16TjOYbQCbdoKQz7DtP30lXsO9q6Ij/mHA4HlFLMplPSdMfuIHNAHx8eabueMFYcjzlFUTBfzMmyTPauE4Aw+sRu6DsBnKqq5rA/kOei2Hp9uSaMUxaLOYuloPRdr9nnhfiKjce8ffOK+WJCFDmjaiOdaE+JN1rTNBVVUXA87jjs97R1y2q14sXLF1xcXBDFMU9P0pUejUZcXl4SujlN01npHhYFdZnTNrUI7VhIk5hslDEaZWRp5tSANUp19NpQ1w3aaCJPJbWQZinj0UmUAk6+tjhQxxdNvtP18ysVBRgDzuLZOYviR0CZ+55TDPQfYKC9yd/PihDfmfJtQTytVNRJrVWOyaQcQG2HvSszeRaN23BKfmyvDWXdMkpb0iTi+mLBrBNQq+k0UYB4IscJXV3QtM4HOWIAvro+QKmIURaTZDGjLCWOwuFeWGt5eXPBr3/1OdPpBJA4VNUNT/cb/ubv/si7uweXd/k8StH1EquOZS00e/9Jn5gbw+3NFV/+6guhnuc5oLi5fcloMsZYiLKMVls60esTYO3ZLw9CnimVn8c86w4r/xCMxQaeln/q9gvQZlCcFQbuoZ7GUOS+B1jSEEaxIosUaQgRFqM7yqZBtTXK9GTzCbeffcbi5SvCbIQNIqzp6euadvdEsd3RtD2TxQXz61eMF2twol1WCXug71r6pqKtC5qqoikO5McDRX4UgR3X5Cmrmv2h4I9//I5//W9+y3Qypmkaul6zmE9ZLtek6ci9D7/u5H71XUueH3na3HPY77DAdDohTTKaRtO2HevVktFoxGKuWC5mYOHyYsH11QXj8VjsAr0iqaNt9kbTNTWH/d51QA/0fUccRcznC1brFSNn8SaxxjAdj1kspgSBAMvGgZJe4FDUrCu01sRRyGg8IctGw5iBtQbbiehiWddoI0r/URhIoR+6hs4ZWwxcgetqAN/x9mvqnKr7k3HjL31S+Pt+05/Hgh8hSb4AOfsidfY9Pm6oIfp41Op5KA6Hf8vKu7Ve6TEcDnHrEAJlZf6EyM9SCU2naTvKupEgkKVEUcRsNjl5bgFt2xEGiqOCvusxFtpeD0IPYYjzLxPT+GNRUtUiQ44S5bS3r19wfX0lwjeue9e2HXf3j3zz7Tt2h4LeKWZZYHc88uH+iUPZCB0L6fhoi1Nfg3Ea88Unb7hcL4mjGOKU2Gm8G92TNz3v7ze8u3ukbrrTs8EjTp5uegognmLkkShf81mXBAVBjzXqJBWOk7F+VlLYQYVRnARkXlGKQxzCLkJASahIotAhPuJzQ2wJVyvmiznzxYQklcS814au1VRlzXF/JM9LxrMli9UF6XgKKpRurjVYqzFdS13l1EVOmR8p8pyqLEUiXmvSNJHuWS8FY9Odq9v2MltgNOOxzNn4+SxPPRbfGtn0+/2BpusZj8fc3IiaVuBUIK21pKOMMIppu5j5dMx4nDEbZ6zmI9IkdJ0lNVBGjJFgddgfuf/4ke1mQ9+2zBdzLq8uWa/XRIkztdU9ZVnQNA1ZmkoCrZBAg9DFyrKiKnKwhjgJB+l3SfxPxaKoPLt73cuovQpCtx/8XGlINFgmuO3nE+qBriBFtcX+LGmooRfz8gDJj7Ihd/YwUOONqGgO3UhHd5GvdYetp+ir55T88wTgPKZ5YAcPhHGy6FHKYLIxOopRnbxOY0SYq4la4jBgHKckkwQzFuGjru8ZjTKqqqapW3pjBnDAWDE+bzpNGGp3CEJZSeeoc4ViGAb86pe/4O2b18PrF7uZgvfv3/Pd9z+wO+TOxDggTVPaXvO03XPMC6pabIGMcdPOrqCOleLtm1eMRym97kmSlHQUohAa5/7Qcf+44XF7oOnNgNY/u1ceYT9TAD7NXZyKvlP9+GOoxA6/Bj9f/zGPwAcSFXEAQaw0Sciz5Enm8Gr6tiZLQpbLCbPlnOl8RpzGZyb3DWVekjvv1DAec3X7gslsiSUYulxe6bPrWnTbCGVqLwIPdd0QhTGj8ZiLq4CPj1v6uyfqqpaY1XZEBvb7PWEYslouGY8ytxYZ0PW2k3hYuPnwqizBWrEOWi4BqOsWcB5jYcRoPGK5EKDv6vKCF7eXJFGItdrJ4YsvY9uK0rSI2Bwp8gNtUxOHEbcvbri8vGK+XABC9d/tj+z3R5arFePxiF53jroqqolFXlCVBbqXc3uUZUynU+kopomMEBiLYFg9x2MhlDcnKBVHoWN8pIxGKXHivR8ZhDFEtEu5jshpZu7PwISfwRVGiatlflwsnjqHvtY5xcPhA6fv5fR5f53ul997w679UeFz1hkzXubfOlEtJQbvji6LlZneuu0pm45FHDLJMsYjhTaGtusJFCISEkSM0oSi6QZwvDeSF1bG0HQCOk9nkttZD/hhCZXiN7/6gpvLNUFghvj6+Ljhqz99yw/vP1J37gx1cd9YOBalsIs6jVXBCUQMEHsNZfjFF59yfXWJNZokzchGY8IwBixd2/C4PVLUHZrA2dx4ixn/y5wAMSMjLKc872yWEYX49J6UiPlR4Tk8lyHe8ez5+2cbYchiGMeQhs6uqBe7G1OV0NXMJyOu337KxavX2GyEDUIwhr4sKPdbyqd7ymOOml6wvLxlurySJhRS8Ohe07cVbVPRlkeaqqDMj5TFEd33jEZiGZQfc7Sx1E1H22l2+wP73Z4oUNR1TRTGrFaXjF3eKDiF2OVoo6mbmv1uw2bzSFmVpGnKerVmNp8TBhFl2ZLnBSKG1REGIRfrFVdXl3zyasFyOXUjVcrdT1njXd9RlCX77RPbzYa2rlGBYjqdslwumM0XxHEsTJm6lln2vmcyycjSWLqC7ll4y6OmqWibBmsNWZYxnkwYufVihv0DvbFstgf2hwLjQP0oCgeIy4/MnDMPPbjqkaATq/On5l+fX/+NzmJ4Wmi+zrNg7UkN0SdQp6LlFCqCU5QZIslpNuY8uJwhIkMhKUOgQRhhdHRa2C65wnWarOlQUUwQBlgt/OWmbSlrKQRGqcxqnOwLFEmaEkTixVhV1bAAhNtuCLRGa28A0XA4FtRt60yOLVOHqo6yhL7rXDKuufv4yN//w594d/80zElaLHXXsj+WVE0ryYCSBBzraBnWQgBXFwt+/eUXTCdjeT8E2F5oQlVZ893dI3/8/iObvKIf6vJTgXgucOILRVGGOM3yWNex8FqA1gSuu+gTJItSQlMMhqflwqPy6Kv3LeJM6EGobEJni+iNpS4r+qpkdjFhsZgyX0xJsxgVKlElbXvKoma3O7LfHdHaMlssmc5mRHE8qPlhLbqryfc7DvstxWFPXVVO0MBKojmdkiQxm82ertcUZSMIoOPpS6u+J44iQSCTyHXBnV+ZNlRVKX5ohyNBGLJerVgul6I0GYoHmXIJvAoEiew6Tdd1zOdz3r64ZD5JiKNAvHEUrkjrqauK3dMTD/f31GXFZDJm/eKW5XrJyEnD91ooiE1Vcdjt6bqW1XJBHEUDmmi0pihyjoc9CsN4LNTqOAqHQW7fIfSX1oa8LMWI2EpSLwqGIvQRRdL9Dgcq6inxtg64GX7c2YHzc7qUU0g8j0gSbs7p2z7+nCVTSsQEAmPc32XfhKGb8w18t8L/fHu2P9Vwn1GeKm6HfQaePaEIghQ7XtCNZpgmB9PJ7KKW7n0bhiRxwigOicNE1qkxjEcZzXgkNgqNUPj8ezFGgBWxpZAk5VhUVE0nqtB9z/WldBWzLKVrG/Eby3M+3H3g2+9+4Gm7o24kNqZpShBFFAfxly2q1vkAumLad/uwTKdjvvzl50zGGUkiSp7GWlGTblru7p/4+rv37A4lnfFdcXV24J1UNs9ZFPLjfVfR/88izInzA9HHuxNF69n8PKd17td+qCBWiiySYjEJAWsoi4LieMTonuxqyWI5Zz6fkmZy5nhRmjwXgayyrOl7y8XNJYv1DTaIJVZZkYDXXSPd1rqiLHL22w1Pj4/0WjOdzpnPF0RRTBiVIi7U9zRdR1nV1E1DpAW4vL1ds5jPiWIBQqSbaOV8rCr2xyP5IUf3PeMs4/LykouLC8aTEV3bsdtuyYtSUHI3kpKmKdPZlNubS0l2nGJh17WUZUlZVtSNqJMWx5y6rgmCgPlszuXFBYv1iiQRC6iuE8XVDx/uaNuW9WqJCuT16a6lrmuqsqKqKjCGNI6ZTUYs5jOm4wlRHJ8ALCVAaNN2PG22NG3r/DYVaSJdJO9361VgpSN9SsQDL/QSOLaPeh5Hfy5X5NQVn1Pt5XOnItD9ndOelb/LFbi8bsD+faExfNFpLw5/sxbjzhZ8znJeQA7gtibUNSprUPXGeQeLQFvZdIyzmGSUkEQCeqWOUhzHEVaFZGlCq71CvC/qLHWrKRsBsEa7AguUvglgDKNRxheffUIcKrqupSgq7u/v+eb7O959+EhRtohrmh3mvapGs9kdxIeUYBA8kXsiCfw4zfjyy18ydX7eSSgjD13fU5cl797f8afv7qg7iyFwipb+nngPXj9+Yk9x7PzXjy/fPAien13+/PZMFzsAk8MCcIUzJApGkSILJc/DCgusLkt0WRGFhs9ub7l+84YgG0mMNj19VVFuHzk83FPutyilWKxvmF/cEMSJC7sC/jdtTVceqPKcuthTFke6pibOJqzWl8TZmLquqOrGuRH0g2BRVVWUZULf9Uxnc+aL1Ylub13eaDRVXbLdPLHZPtF1LYvFisurK6bTmZw7WsaD2ral7RryPKeoA6Io5vr6kuUiEfaEciq4Ss7ptmk5HvZstluOhx1GG8bjEfP5gvl8wWgkehwiUKPFQuNwpNdazko3394DWvd0TU1d13Rdg1IwmU6ZzWaMxmMn3IM3LsAYGZP64f0jh7zG2lg0VoJgoMeeF4qyJUUwzRgj69Sdfz8GEv7RuPGXPhm6JNWj6kMBosLTwe8SHB8R7FlwsL7NiZ9jPI9KDO3cU52ohoV/TnsIRNscl5tJADP9sIGiJKOPEgLduCRJ6D5iEq+czK4khHEUkoTShdG982cxZugQooU+qAOfmFiqqhksM6wxXKwXvLi9wVqhnfZ9z+GY86evv+Pdh3vqtkcbS2ANyliqWkRRrBKE1ncb/QB+FERMRxG//c2v+MXnn4oyqLEY00nX7Xjk2+/v+MPX7/jhYS9IuwEv/dw743XjC+kBLTgVkT4RHcB0ZcCq4R6evP4UWD+X6AtDuecypyUgQOj8zvzcThw5QRvX8q4qed2Z6rm4WHB5uSRNXYGmNU3dcThWUijuc9quZ3l5xfrykiQbAQyiBl1bs3t85PHjezfk2xN5JdPphOlsRpLGGG3YHSvyoqGsBVmM3CyLp89lI+nUBSDCCU4pryjE5+x4OBJFgirNF0uxLnEzLNp3M1wRaAj4uDnw7u6J0XjKdDJmnImimswUauqq5njM2Txt2G+3BAG8ev2Sm9sbRhPpeGtHTQismF1XdckxLwaxHBRD9/R4zNntNoTKcrmaM5mIimvgHtjzuRPZS77T07Q9CkHaszQeBIgC14n0wcXilWC1CzI/U4j97BqEbYZ4eaKg+ZkQ32w6L0KUslgVCK3KgSgECmVEXdRambkJsKfY577beICNU1E6JFfqRIkDJd6r0wVmfkFd7bH1QYAht36btiVuYuIkIXMmwkrJTJafqQ6UomkUnRZqozYGOgciAW2nyR29ves1ylo+ffuKV7c3tLUk7XlZ8vT0xPv377l/eORwLES2O06Iwtj5kMqMYtf3A5VZ4pG89zgM+eTNa377V/+E8XhEFEl8btuO/Hjk7v6Rf/j6Oz487Kg6jfZnxZDveOEUPXQnzhMhsM+e0el5PkfYz7uJp6SJs+cghTpIoRgBcWgZxYpRHJCEAV1dsdvuyA85k0nKer3g4sLFOitWS2VZcjjkHA9HqqoBFTCdLVlfvyAbz4Rhoo14kDUVdZlT5AeOe2FP9FqzWK25uLxiPJ4SBIF0lFuZz6/rhraTZLqua0ajmCRJWCyWpGkmCZwDxNpGCsU8zymrSmTu1ysRMFouBEgNIidUFBOFoXg61jX7/ZHd/sDtzRVpEjtRCUvbVTIKcDxSlCVd29B3Yuczn89YrdYsFgsmkwlRHAk91cWz/eHA3d0dcRwym44xvSavZBa9qWu6riNQAbPJmOV8ynQ8YjQoV6tTJ9490/xY8PD4RNOLRYsKpNudpAmxY16ckiiXyBlPQ1Vnc4v+11+e4/kf8Qp9UYwDs56B9+os1j/fSz4injrzf15kPi82//zcCP0eDBxgddZs8PHVIgXgiISgfqCvKwJj0AgYUDcto2zk8rsAG4mKdRgGGBRJLEwba62z6DnNZOrecGwbDkWNMTjfbI3Smtl0yuXFEt23VGXJ4+Mj79994OP9ht1e7IY6bcTX1BWo+2POoaghCImjUHJEd5P8GrpaL/jFF58RJzHKsZi6tuXx4YGvvvoTHz4+cL/p6LR0i3p39nr146EJYM66hOdg1/l1ln+rs+fnY/wAeFo39qXO4uEZHTVQAoalkbDGlBLF0aZpKYoa2o7bF2tefvoJ6Xgis5F9T9dUlE+PHB4+UuyeqHvL7e1L1rdviEZTLE6dWPf01ZHieKTc35Pvd3R1iYpilusLFpcvSbKxFFHaDPly58SKkjTBWiPqtFHEYiEglLUG3Wk389dTlAW73YbDYQcq4Pb2BZeXN0LNd11ri9QYcRzTtprdfsfDU0vblNzeXJ6Uo10Brq10KrfbLfvtI1Vdk8QJy4sly+WSyWTs7NrkrPLMhePxyH63E3GwKED3PXVdYbWhbRtHs28dG3LOfLFgPBoPrEjZHw7c0oaiKPnu3T1tZ7FKOQGnAM/qPAeEPKOk70QRWoVnTTlv0fXfM7OolIgenNahILReOccChOEgomKtwSozfO0gAIEPMOfEBcWP8qdTd0udfdPwWk4m1SC+XMq6m5TN6KMM1TUo+iGxMM4guu+FaiX+TxFRGKKSYEBc7fBvy6vzLLu27Z3HXkvXSVIWKHj54pblco7uW+qqoigrNrs9m+2Oum2H9ydIi6Fz9MFRljCZTkApiqICY4nCgCxLeXm14l/9T7/lYjmXTWc0fdeTO8GW7W7Hsayoe0PTGdpegkfv5Mgl2TCDmt9J8OHPE6hTHuXQKm2w4Y9Rd6Gjeubws1++s6hOxuChEmVUFHRdx+EogWB1veT6csV4lOA94HRvOOxzHp/2HHPhW4+nUy6vrxlPpyhl0X1L33dUecHDx498ePcDdVWSJDGLhVCl5os5o/GIOImxVlMVMpO4O+b0xhIFiixNiMLAUeoikjQjCAO0kXtWVTVFUVDkBVr3TKYT5vM587mgTqErlLWxg4ehKJH15E3HV19/z7fff+D1yxcDBxzEdqCuajabLbvtjr7vuLy+4sXLWy4vL10nx6nwBQqje7rWykxDUdJ2HUk2IssyCXp5LutguyWNQ25vLpkv5kTRacZw2EeDF6YcPNtdzoe7DVXTgwqcjYusffHIPNnhWCxWG6zuMM6TLAhc0HFI7c+xchQTXxd43DYQUArU4M9lB+8+D4OdUHW/N1w/3ic+bk8ZBJwYihNOdF7lE6VzdM8Xrx6qDxTRaMp4dY0pt7Rdje0bBzOKumZZVaL2F4bu+SI2EKgTpels9mXwkiXEqo66bqmbjsaJec0nYz77RJD2Is8pypJjnlNVlYjm7I/kRYUFxkmCCkOqYy4+i1lGGCd0nShR+iQwDAKuL9f8X/8v/4bXL29RCDDRdR3V2RzyZnfgUDY0vXv74Tn91J6op+Y8znlg8lQiDs8Xj65aYVmoAOtpwg4kO3U4/Ay3FLhBYAmUJVaGUWDJQhhFUiweq5rD4UDXdLx6dcntiytGkwyLoPBV1bDb7zgcpaMRRTHZeMLy8pr58pIgiiSGdw3Fcc/hsKXK9+THI23TMZ7OuL58xeXVNePJDByibW0us/d5SdO0WCOjAVhhhUwmonxrjDAf+r6XArMS9NoYzWw6YTabs5rPWcznzuw6cLOMojA6Ho+oa6Foff2nb9nuDoxHI7rrNXXVA5qiOHI4Hiirir7rCcNA1P+mUxbLNZPpbDhrdd/Rdh3e/2633XHMC8ajMVEUUdUVZX4UHzajSeJQCsXFnPlkQhrHIpymGCja/pnqXnN//8j9w46uk7m3QAWMsswVih4Qk8Xg1cIFNDaEEeLdGUXCVooSZ1/187qGYvG8wFMeMHuekwH4Tvs5sAK+GDn7Mve1Q5PKf+LZzzubCbWuU3KW7Bn35zBZsMym2OaBp4/vCdueAIu2UDc9TaeZpM5vkUiA0kAYSx7kb/uOyEoB5yl6xmgpOrqe1s3taiyR0dxcX7KYTdBaRON02xIqOfula99L9yYKieOUw/HI7iD0yOVigbGWvBAFVbGdCIiThNvrS26uLrC9NDGKoiA/7MnznMl0xrioOf7pHXlR0tjQ5XKSez63xHKxyd3soQA86wgNauZnoNgZ7Dn8fQDKzkA2zzoLEBGbNLQi5KXk5/WdnBFN0zJJQt5+9gnzi7XMz3cduq45bh45Pnwk3+8wbcv0+hW3n/6SaL7EBqE0efqOqjhSbu/ZPj5QHp8wWjNbrrl48Zb56pIgTodZbeNUoZvWM1Us0+lUOslosmzEaDTGIg0GsUgT+np+PFLVFePxmOvbl6xXaweOyzoU/00NSixZwqBlX+Tc3x8wRt6rUhmeUaZNR1NXbLcbdrsd1vRcXlxwsb5kMpmILRK+hLGDDkZT1+InW+QDEF/XFaaXca2+a7FWbI4Wy4VrVGSDN+Tw/I1xvruWx8ct7++e0M5fMzpTuvZr4TT6h7NPExumyI0rRbEAzFGSEMbJX4wbf7mzGHqB+POI4KtWMX62Dkmxvj3u0NiTFKyj7fkY4tqUyscHwwnVdcHo2ay0P/6VwgSSuJ0MqyGMRoSrNSbfYEyH0jVBKIiir6Z1b+hDjaUbOpwGS99JW9sY4+a13GcD8esRNEPTdtp1+gzT6YhffvEZ41FKcWzkPjlhkTCKZB6iN5jeDElMGIZMxiNWy5TJdMr2kFM3jURKJfdttVrw5tULojDAaulFhFEs6MJkQpSOeMx7vnt8T1m39I46cVoAEvg8VcGr0Z2CvI8wZ4fBeaA4o6/Kp+zwrGXhDUx9vJCRp6IGyjrlT+FSF2UlnjVWc321YjmfYI0WkY1e7DEeH7fkeYUKI0ksVism8zkqlOTJtuJB9vHuAw8f72nbjvl8wdX1FcvVgul0ShTHg7BB23ZUVcO7D/ds9znaWkLUoF5lrSEM5e/WiABCWRTsdnu6tiVNE1arNdPZlCwVAYQglETSuGS860Xtz3dxD8eSH95/5FgUg4iN0QqrBMEvCpk7nM5nrJZLLi4vyEajQSkzCkTEKSCkd3unbRuausY6Fd2269lstrRNzfF4IE0zbm9vuLpcEccBWI3WvvBwnRCf/xpD02p+eP/Ax8edFNChULPD4Fye23Hb8VS1nrYRpMuLAEVRTBjGBEH080TbI5kfGaTUh5zHW+pYvPrdKY6dDu6hYFSnZEjoML7rZdwslnbCNvINAU7u2rEqrHXxxwrt5bRfFTaISOZrZs0LirbC5hvZe46p0LYdRVkQx45WHIZO7EPUN+u6dTQUt+/dezfWohyi3Xu/WW1YLOa8efMalBR0oMiyERDy4eMjed3QdD3ZKCNJU5mBbFrCMOJ6tSaKY969ez9YaqggJEkS3rx5zds3b0SGPlZufkxorGmaosKE5B++o2oaWhMShBC45Kh3RaJ26Oowq3jW+TjLnTjrgbjjSPYpQSAS824+26pTAuVF1pSxhEo6/rGyZMqQhYYsCMlihdWGw+FAVdWMsoTXr2+5ul4TBIFD4KWbeDgeaTtNnGZMFytG0znz9TVBnFIUMqNzPO7Zbp6oygJlDGmWcPvqhourGybzBXGcgkPltZHO3G63Y3fYDz5gIoaWESUJo/EYY63MqzYVTSPzhFhLkqbM05kwIUYCSMWJUDr7rqeqa7q+k85iFBGEMdvdR95/uKMsa7pWEpteW9q2oigL2q5FqZDxJGPm6FPj8UQMsaMIAWGdyqUVZkbbdhzzgl6Lim5Vl9SVpW0qIgWT0YjFbMx8OmU8ygQACVyRaOyJqucAg6bu+Pb792wPBZ0TIYnjiGyUEkeuU+iRdicUpjux4zBa5njCKCaMs+GX+hnGumf2GJyJ+qhT4XjaN2f5AC5PUJ6u7RoE9kQp5SyP86Can90+l/AfYNXzP+NBOBHAibOM0cvPyZuOZFc6+xpR9C7rlmkWEsQxcXgCOrUW1dS67Wl6I6rsoYwARFEANqLXFt0L88irjgaB5VdffMY4S2m7llBBliZMJyOMMUKDNIpRmjEejdAGdrucIi+4uLzin/72t/z1f/0dvhj2hVkcRrx88YLxaMTxcGC72dB1LfP5nKvra1oivvnw/+Tu4UkYaU6w8JwRZrR2ncWzgv3P4DB/PUuef/Tx58wK+TdO60DONOlMhcqSBBAHYpNmtHU5Vk3Xay5f3/Di9SuCKIK+o24a6sd7tg8P1McdvVWsLq+5/PzXJMs1Gl/I1TT5ns39R/aPH2iqgjjLuH39CcubV6STGSqMwI0Nda14M5ZFSZGXdFpjsUymY5JEZgGTRKx7urahcxT7ojzSNg0oxdX1jYBto/EzWvlJ4KtzIHpMkkgHU4CvmqKssMxBBRjTU5Ul2+2G/HgkTVKuLl+zWq1ETX2oEj3oKHmD1tJVfHx8oqpqgiB0QmcVvQsvUaCYTKes12smLrcdbC2GMTPXadY9bWf59rv37I9imRQE4qss+ctz8ECKTTu8V7FMk1iXZCOS0Ygozf6bed1f7iy6uTZJmk/sdbkf7pgNHJITeB60Gb7WF5ChRy0ccuFv5rCIeb6Ih/b58IblX7VaEtzAKlTok9yQaLZgfHVLZzviek9se2JliQR+lOIDReCU2vq+RxvD8ZhTlrWgCqFYPYSB2AxIomUdnUo7tAZuLy/48pefEwXOhzGOiYxFG7GtCIOYKHL+WO79RHHMbDZjuVrRacPHp+3gC4MKMbpnPM5YLhdEsRcrEYNgozVdGKFtwP3TnqfdgbL1SaqXPe8dzfIkWX6Orv8Z0n4C8s4Wtjwrj9B75MpbZlirnsUhxYnaNrSyEZuTqqpo64bLxYjL1Yw4tPSOmrTf52y3O5qmZTQaCRXTocVeUEl8E4/c392x224Io5BX16+4vL5m5iincZKKiI4WpKrveh4envj2u3dUdYu1cgjKvJ/G6GAwXm+aljwv2W02tG3LxcWKq8sLxtMJcRQP9Fvj1mXbacqyRlsRffK01KbpKApRm1SKoZDsjQgzGGNZX6xZLleMxmNBxD3dE9fhcICClz9uvcqpU0V8eNxQHPakcch6PefVm1dcXKyIo8AVpwKmnMABBmqJ7jXb7VHuSVUTKUWkLEl8MuVGnZmyum5X27aURUnbNaTZiDhJSbOxBMQg5Mw99WdzKe89N1A/ffEXnfaPB1BO9QeyE87ALg+QmV4SWocS952zQtD9KTENA2eY6/zd5AUQeG15KzEmDCTYa2UJVUQ2v0TVOVXfYPsK1/oVFkTdUkQVURgRRxFN03DMS/K8cOJMDNYf/v36hM3CCeAKRIDm+vJChuYD5SyINHn5yHZ/oOt6kjQlcwdNW4oXbZal3F5fkWQZDw+PAzXLGhFeSNKUYy6UxckkZZQmg6q0MZbNoWB/LITZITW0nC/wPHkaZmqf42FnT3X4gA95/hwSyyDv/Ru42HfaC1hDKD0LYqVIlSUNDVkIWaxIooC8KkR4odesVjNuX1yRpgldW3M45myfthxzmY0aT2dMVxdM5guiZEwYp7RtQ11VbJ4eeHp6pGtbJpMpF+sLVus1q4tLkjTD20d1rajkNVXN4XDk/fs7UWt2Z2mWpWRZSpxEtF1I27VYoykL6T4mScJsNmM2HZMmyWBuHkUirNV3HWVZkh9zrBXJ9zTNUEqsi5q6QSlFNhoRJwnG1DLnrw1JnJLORkxnMxGeSVLxaXU+u9Zo6cpbR51uZSbxeJR1WTctu92RKLBkscw4LhczZpMxozQlHlBzO8xwnUAP2We7/ZH3Hx7oejMwJbI0IR7oVWcQtAeSdYfupHsBEMUJUZIRxikqjP+bCoH/I17DjrBnnSj3uRMgfPb1vjlhOfmRYhh4Ee7cMVaARqFO6iFh9tZMQRBIR8OLsCl/FnL2CuQygAai2QWL61fo+gF0h9K9UPqqmjiERRAxSUXN3ljLoWzY5RVFrYe8Lk0i0iSWjmoMsbY07Unv1lrLYj7mV198IgJYVqzaglBRtz27Q0HdGaI4YZRlBGHEw5Mo3sdxxL/6F/8cYwPyPBdGD8qltZY4ifji80+YTceovmC1WpFlGaOx6FJ8f7/nb/7uK7HjsApzpr7sQfxhhMhDYmcxTnbEieXy4/s4FO/uaBJM3zcpPNgilmnCmlGEShMrSAI5BwQXNTR1TdMIsP767Ssmk7GwxaqSw2bD8e4DRZETBgGrmxfcvP2UcLGiUyF0NVVtqPIju6d7jrstYLm6fcXqxRtm8wUqzhyw78Reuoa6FP/sx8cNm+2OptWgLFmWSGfRShe3aRuKsqQqS5q2JYwC5sslC6eBEcfJsKrF4kcKxaIs6bue0XhCHMfEsZIRDS105zwvJa+3AXVdst/vqOuK+WLJ9fUN04kI3wyP5AyExQog1TQ19w8f2e52dH1PFMr4WtN2hGnIZDJmsZgxX6zInO2aGvaVPCPtGi3a2WXtDz3ffPuOToMKhH4qa/zsLDxjPBlrBpV0487hOE1JRmLHF0YxBD9eO8+vv1gsNkXuqGcnw3KPQhi3J7wilE9ClIsqSgUQSrExJKO+++HfyTlN0tOjXCDiR8XkMP3oCxRPiQsC0kgxXl4QhgZ2IRQHVCdqQn1vpOPYSfCIolAoCF3HIS8oqoZABejEkhhIYghDKf76XhDcXsv3BgF8+slrLtZLsD1RFIsy0yHn+3cfuX/aU9YtTaupu462lSJOKBAJZdWw2x9lyLUT+wGfLF5eXLBYLoYiUfjDslCaVuiOX3//gUNR09tT8PZFxrkZ8nlgeX65rpNPbnE86KE69MFFDffduokr/E+zPsmU2c5AyfyiRw11KzM6uu9ZL2ZcLKcEiIfXfl+w2x3QxrBcrVgsZ4RRxLGsherbtigno1+VldyXS6FbzpdrstGYOI5cYSmDvFprulZURr/++jvu7h6ki+ERTQVN02B0gLaGoJVCsmlaCBTXN1dcX10yHo+c5YQakkpBr08HRpIkTCYy7NxZ8ffpdT90lYQiJx2PQCnmizmT6Wzozsl9c4npsLZPHj1a9+z2R97dPXD/uMVqwyhNmL685M0nb3j58ob5fIr8CAEwzBliKN5kYK10msui5rvvPvDxYYPW4sMYRyFpFKE4dbx8YJM9KpSJuhYQJYoTkmxCMpoQRgk4tbaf26U7oY8HgUO31WnOJXiWUMmf/NyTBGOHyltPJzWEhKJ0LCLwJ0TT3brBW8mKSXBgPNJ+krRm6N6f/q3eGkYg8a4vKTf39FoTOPU7UQKu5DBwxeIhF3VI69Qhw+BUpMprOZvHdUBTksS8fHk7WNyoIMBozdNmyx/++BUf7x8JwpDZOCNJEpqmpaobYVFMxsRxzOFwFK8///5VwGg84upyzc3tFVeXF8znM9IsIQDquuFps+N//49/zR+/+YG662X+MxDkH3y8e24NdBK2+aknezoAf1Lo4ezvfj8oKwbHkVLEClJlyZQlCyxZGDBKAkJlqetawEbg6uqCxWI6zK8/bXYcjznWKGaLOcvLKybLFSpMaDpN3TRYG0hyU9ekScrl5RVXV7csHVIdxrE8G6cM2jUNVVWy3W759ptv+eab76jqZojbSRwRhSI6U5UiABaGMu8/n89ZzGdMxiOSJCZUAlBIV1cSpKapOR4OHA4HV1jOicKIKNLDzU3TjCzLiMKQprd0zt5nMp0yXywZj8dO/S883X53pvv5na5rJYH6eM/3379jt89RKqAsS9bzMZcXay5XCyajEWkcu+QJMWx3DA49zOkLm6XrDHfvP7LZ7PH9qShQ8v0Bp5lZywCKmV4PPrWeXRQnKXGSEsWJ6Av8GSfzf/yr7WoX1wRAFUsxAX1x8c+pPAxn29A28R14AqG4W+MaBuKPrYMAHUhXSLuiHuT+G2vpvaBQoF2n9wSUDVgbCo3Y0TQpzNcXVNs5zWEPRtNZS90IEKIJYJaRpIq2rbnf7NgXNbVWKGXpQ8nd/DyXL1p93mqMjIzcXl9we72S7o2z5zrmFe8+PvGw2dNbxThJSJKE3V7mqtuu59df/hKjNf/hP/2fIqoURhLvXN58fX3Nb37zK0ZZgrJKGgGhAJB91/Of/vrv+IdvfqDtI/fm5Z4P2NczEP8nEbFnX+8+8tMP3ud3+AaBQhkp+5XyHtsQoomDgDiQ0SKFpdNGLJW6jqvLJVfXF4QY2rKmfnrg8PhIW1VkozGL6xtWL14Tj2cO9O4xlNRVw/Gwo2saZvMF84tL1usLwmx8YtdgB4/BpqrIDwce7x/47vuPPD0daHsfi+SM1r3EOu8hHSrFbD5nPp8zO+/QDffTs/E6yqJgu9kSRTHT6Zw4jAkCAY0kTnUcjrnkikQURU7XdSyXa64ur0SpdQBb3dnvi3z37Pq+Z7/f8fHjR/KilDl+2RAkUcRqteTiYi2Nijg5yxMkuzNGY/pWmkudNEXaruPD/Z67h62o7yrnRJDELn+Vcy1ADTRWnydrrZ2HfEw2GpOkI4IoFgbFfyPU/cVicfPhnYfXh1WpcCqn/u/q1HEaBizDkCCKieOEMI4IQkEmB7QEe5L+PZcBdu1WP0vnD2+Ln0vwIi2nuUhjLXUUsZykXC5WWFtzKA7othM6p7Wi/BO41xgowrCWmZtj6WhTAT59V4qB1tW0HW3X0/dS2cdRyIvbG8IwoK469ocjP3x44A9//JrvP9xT1C3a2KEYbbsO3TvlpK5juz+IpUPTAnbo7kynY7788pdkowmGHmMVOAn1tuu4f9zxt3/8hqf9kVYrAYCCQAzanfLRn8UF/2GPKLlAf94Y8V/kZ5gGpP70Be7/zuLV4hahcQvRWWoo+bhSMrRb1UIFXq+mTEYxXdOy3+152hxABVxeXrBazUnTkE7L3OWxKImzPYtAlG0nsxnzxZwwEupakqaiYufmTrBCJamqksN2xzfffs8fvvqG3SF3qrXyuvpei1iM+4AKIpI4EQrWeM1iMSdLk0HgRRYBDnmWeYW8KNkfjqyWK8IoIooC+k46cH3fn7qDbo43DEOSyZR0lDkVwWB4Ta5CkHutTzSTvu95etrzd3/4mj/+6QfKsmacxdxcX/DLX/2Ct29eko1EQQujMWj3fP3MrXRddC9BrihqHp/2fP/ujmPRYJydgyifBsPAvE++pNMfOOXGiq5tSUYjkmxMOpqRZFNRJrbAz9Bncfv4gSEZAkftCIaCUdKj08EscSI8K75cFyUInQjUCS8PAqG4RFEo9Dd7Anhw8ezkxXlKiEEo96EKBgViawy96smmKZe3r/hY5dSHDaFTcFQKqqaj749EcYTuDWXd0DS9/Dw322DDkMi9D7Sz0WjFXgNlGWcpq/kcrKHrDGVV890PH/j93/+Bdx8+0mtDkqRCP+06jsectuuI45g0lXme93f3IuhiGQ7szz79hP/13/4v/ObLXzKbjlCOsnk8Hrm7u+f3f/gT/+7//R+5fzpClIgARxBiQw+smAGQOafN+8v+2R/k8o10D45ZhHqLcj0MBRg1FIoxkKBIXbGYBpY0gDQKSCK512VZ0fWabJRxcbEmDBVlmXPcHyjyEqVCZssFq6srJvM5VoUc85w8L1msIAhiojhmfXVNmqQsFkvG4wkqigHpFPd9j9U9bdtQlaUIAH34yB//+A33jxu6TgDRwDFturYhL3I+vL9jvphxc3PNYjZjNp0MwjBhcJ6NgrFCPS6Kgt1uS1VVxPEKT/vte01dC4U1DBR9J4q1XdsSBKEkZ4u5jEtEpxk/azwybgdgr3dG0/vdnr/9/T/w9Tc/0Pea+WTMbDzi5c0VL64vGaUn1dJAyViLYCuuEHECSiKkY8iLhnfvPw52HwoBYpM4OnWkXf6gUK4L1tE3ojyrQmHzxOmIIE4giBxy9PPrLB72j3jzdl88neyWgiHBlHNdnSXEDODZQF11FNNAOdZNGEAUYW38zPd5mDd2dLq+64bi55lntwfA20ZEULKIT19cMrm54YfyiO5EtEZbQ9F06GOBtZok7TkejzzsDtStkU4ZgDWEgaigR5HjbFg7aDxgpVB6/eKGURLSNpUrBp/4+od7/v6b92yPJXGSMplMaJqWd+8fOOYl6/UF88WS//xf/gv7Y+5Gnwy4/DFLY/75P/0rPn37RmKuCdy+Kel0z/v3d/y7/9d/YHds0YEvz0/g47MK+qfqxBNx4ke94PMv8R8/JYPn7AnxLPeFo/hnRxhipYiUGvK73hWLFsv6QjQo+rqkOh4o9nswhtnlJevrG7LVJUGUiDVPdRwcAIy1xHHMan3BYrkinUyJongoeCwuh9FabIaKI9vNlu9/eM/37+45Vo3Y0dmT6GSRF7Rtw3Q6Y7Ves16vRfDQuR8MgLzr8gm1VVSYt7stj09PLBcrAqf9rxBnA22cKE2eC3VUJWBhvVqzWq9JnaLz8+uUdEt3VFNVJff398KmazsBktOQ5WLOy5e3XKylmxhE55oJdihqddfRtxKjurajb+U5/PDugaLqCYIRYET7JInxEjPWcraHZU91riZS7ozOshFhHAvzY1hQ//j1F4vF4+bhdAvONnbg3pBys4nP1cSUqPfEwodNxxNZFHHqKHiyKrwKqdg7uOTId8asERTRWsQe49x02ReXJ8SlJyDsEq5frBgvlhzu3nGsa+lcGpl3kVkHM/B1u76nrBt0r6VTFYREoSEMLaGWTdR3MrvjEbLJbMp8PmW32/P+w3v+9M07vv9wz93DlrrpBv67dHikRDPWH5K9s/Xo0EYj4kFS9H369i1ffP65JJsuuErLWeZMPnx84PsPD9StxihJ2IMfJUl+UQzrzQcS1/09Pb/nIcQv8uG+4zrAznBv0HoYWivG0U45/eLkI+cHaEdZzHI2BtNzLI48PG7pe8PN7Q0XVxdkqQyb215TVQ1PmwPZbM3lbUI2GROGQtPzHWvvIXgSuOipipzt0xPv393x+7//E9/+8JGybtFauQARkhcl9/ePBIFiNptydXnJcjlnlKVko5QkjodOtV/n/jDRWlNUDY+PG/JjwXKxRIFDtS2H45GmaU9S5K7jFEWxm5XwH3cBwK0HL4eNEf553/ccDjn/9Xd/z3/92z+y3R1IopAXNxf86ssvePX6JUmWDmALjt7ji0TfIdbayBxYWXE8FuycAEnv1nygcN0HEZrQkb/HdnjufSdJoDGGOE4ZTeYkoylRKgPkSrsN9TO79pt7/DC43ylq6PLJevJeo96GRnl6lQpcoiT06DiOiaOEMIqGgXOllCDKsewrnzgb3dH3hr5r0F2L7lsXT8WKIwiFrhUFOFl2OfTqGD59eUVQH/jmuKXtehf0lVPXlZnXIAgE7HJgm2d+eGTWKlEo7NwMme6FGp1lYsnSdx1FUfD7P/yRv/6bv+fu4REVBM5vLxP01al8BqEoymlj2e137A852rjEzSrGo4zf/pPf8ItffE6aJjStqA7udjs2Txs2mx1ff/M9232OQQ3KgYKxckr63dwn9vkRN8S8v3ANbAu/D50xOBaUhcCK9UmkFHGgZG5HWecrqwZ1bWssdd1gtGYyGTOfTejbjuPxwPF4JAwj5qsLVpdXjKdTtLXs9kfuHx5p2o7ReEa4CMmyEUkq3dk4FksnHyP6XruxCVEjrcrSFdUfuf/4QFXWAkhqTRCG1HXLN998z8ePdxRFzsXFb0XVeToV+x+vAuo7fY4mLUlNI2qmRYFyoJK1emB57Hd7J7iheXp6YjZLmU4S1us188VMxgKikIE+Zb2KunViNj1d19E1LXUthd0f/vgNT5sD8+mEq4sVn7x5wYurNdOxmGoHqBM93AU7ow2662jrmrpqKKuKuu44HGv2uyO9tq5jZokjQdsF4Rfl69AYgoCBCts24gkZBZHs3XREEEix7r2If25XXe5dMglDRnCGHyh7AmKGnMDagd0QOLsg5QCyMJLCPklkdjmJE6HBuxkoG0pO1PUdfd/StjVdV7s8SfyyfeEJlr7t6Erx2TNxyJvLCV98+pbyuOH+h8J5roqAYN31bPIKe6g4FoX4K/r3AfQGiW19T9gJ6NZ1ooDq557TOObmck3X1hS7A199/R1//80d37574O7pQNNrpvMlURTz7Xfv2OcVSZLy8uUN797f8bQ7EgTRKSa5guztm5f8r//2X5OlCUaLMvp3333H+x/e01t49+EDX3/znrYz6Ng4/pYryH1U8+DWOfr/7PqJoHf2XJ9dQ2eRIdeWcYcAjBG2mA2JlSH23Wb3k7pOFLeTKGC5mGG7hrKuqPIjNgi4vLlhcv2C8XRKr0KqvOD+/p5DXjEajRmvLoRpNZszGk+lc+9AN89bk9EZZyFRFtJVfNzw/v1HNvuCtjcCVqPYH3L2+yObzQZrDbcvXvLy1Ssm44kbZ7JDI8W4wk87gaGqrsmLnO1uy+F4ZDx2Kq1G3mdZVs7GzFNva2aTlMViJXYbTghm0C/AnyvW1Ryy3pu6Yr/bstlsKd1oURQqlssZb9++4erqSrqBzu/71LjRbryqoa0b+qamdcVi10Gel9zdb+j1aWQmcnRrKa9O68EXjLrvHUBjCKOQbDwmTtOTTZBbE3/p+ovFoul7/EyTfwEB9rQpjMVakfg9qQTi4XSa4kiVZ2TTKeloQpikLoEKThvAdRJxiYGsBiNF4lln0XceXXvLZQ644qqjrXsCteSzz94yDTv+7q9rHu8f6VtDFIaY3gwtcSkInGiDOscD/NuyoA29U8vyKHaSJrR9z7fv3vN3f/iKb78TWmjT9y5GyA0IwpAQBuSu68RguT+njLptMkozfvmLz7i6WLkuRYTRnXtucq8fnjY8bQ/0RmEDl+C47EnW2Il/j7v/yiqniPmPZ1A/YsY5ZMcSBqeDQqngJE7kF5/7XiEw+aQarDV0fQcKxllKmkS0dcV+f6DrOi6uLrm5uSAbJbJuLFR1x/5Q0na9qFqNJ4PR8knZSRI0pcD0UmDVVcnRGVW/f/+Bb779gc3uKCqxrv+ttWG7OxDHEbPZhPVafMemk4kg13E4IKUqUPT6hIK2bcf+kHP38YEPHz6K8IbbdEGgKPKSu7sHmrpltMgEwXbFw4niZ4d1K2i2UBwk4e3BGvq+JT8e+eqrb/jb3/+R3e6I0Yb5asZvfv0LPvv0LWmWyFrwIitn3mAeQOm7jrqqqFxwE9sLe/ZvacIAkkTmcru+I+xcl8kVP0Zr2qZ1VAlFNp4ynS2J08wNnUtH3/wcMyi/1hSDkpz83cW/Ib7ZIcmRT7t5P9dujKKEOEmIY/kVBKJKOhSWwWkdd11L3zciZ921IrRhZF0ESqEiEfEiUKLe6ZDhXgsNazaf8fqf/5bQ1Hz/3TvKqqF1qpfaGIKgI4mioQsg6syg3USQP2iMEVW4rjuppSWJWA20Xc+7Dx/569/9Hd+/v6e3hvl8xmg0otdijtw0LSglfp9xPMyiNW1/AjOA+XzGi9sb4lBiYts2ToXYcH19zevXr2lNyF//4TtoO0kKjQjNBOEpyTmfzx2Wogtz6vSHZ0nj8Gx/Ej09O1wdGBoqQ6QCIsQ2Qx6Dcs9P9o8IUfXMp2OyJKbMj+SHAwrFan3J+vaWyWyOVYrqmLPfbUXNOBtJB9bNLsVuvg8XQ72lk9FGrIOahqZxxeL+yNPDE4djTt20TkpezprD/sjvfvd7jsc9n376ljevXrFeLKWjMlCO/RyUdiyE3ik0VhyPOX1vmExGhKGMa1gNj48b7u7u3Tyroa4rAFarFfPFjMhr6wP2vNCAYV63qSuqshi8Ez/eP7HZHtBWcXN1wa+++JSbq0tGI1HVPdGDnVCc+zldXdGUYtWR5wVl1dD3lrxoqd06VIEitIokjkniaOiax0lErLXbfz1tLYi90QYVRqSjiTBB3Fz2yRf053VJjDkVICeRGhfn7LmVlt9rfkJR1hoEzscyJIwSkiSVBNf0GN2L4vwZuOW9OLu2oe8l1lnjR43UMNeoANN32L7F9h2dDSnLnItffc4//2d/xT+Elm++++BsX2J6Y8grmf+qW/FBDAI1hHNjRbir7TSBkpERb4EhnU/NeDRlPp/RVBXff3jgb/7uT3z1YcfTvqBsekZZwmIx5+5+w9NmD0rx9u1rwhCeNhuSJEFrP9wj8ScMQn77my95+/KGruscy0k6nDc3l4xmc+q2lhzTFwlqCGMDJfTZWNE/uhj/PKZ5bN/+2UdxbacTDd+LUQZWaJyx0sTK57DyLd5iZDFNGWcJXVnQNkJnXl7fcnl1ic2mQnlsWvbbLXffv6OyAb/4xRXrqxsxqE99rPMsLjWsPaM1fdtQF0eO+x35fsdmu2ezPdB0PX65WKvY7/a8e/eRMs95/fYlr169ZjadDY0Mg+/OyXhP55h+dV2RFxWli0UqEMsJayw9mu0+Z7s90jv2VBgKwD6dTiR38pYY7j76vNvnB0Z7X/SC7faJw+Eg6s9OpXeUpXzy5hVXV5fESSTuDh7As17t1I0d1DKi0DeNsNg6TdcHHPOS47ECQgfeKGG8eIGbU+rizpQTWAaQJinZeOLUT3136b9ZK/7lYjFKYln8HtVwvyt7lgRb8ejw84jKvUp5oZKIdnWFNYaorQc/j6Hj4n8/Q2UkYXMrQ51+3iB77dr84qnSAtI1rJuGxWLBZ//mX/DpzZrf/e5v+eqP37I/yMHatCKr62tNlJORxtNNxN+w7QzGStLVuS6jUoo4DOnajmNe8vgkVhad9kmjP4hFxEeMpmMsOP57QeuEcnwCRRCQjUZcXV2SZsnAcw9dEWiMJi9bvv3hjqLu0MTgN4wv9H48t3P23gLUQK/FBx/FT64K+2d/8gvIuDc34F6CQLnEWSmHOCpLr+WgiKOAcZaAtRzzkqppWa6WvHp5zWSaDp3aXht2+5zdIWc8W7Jcr6RQjESAJfQbya0949Redd9TFDm7/Z4yF0n6Yy6m80YbrApRiHKpWGOUXKxXXF6smc0mIvByZgmjjcFqOwyXF0XDh7t73r//wPEos4qL+dz51InC1nc/fOCHd+9RCi7XC1aLCWns1WHVcO/sabj37EAWumFT1xwPe+4/3vPhvSiDpZEiHY344tM3/OKLT5hOsyFx8h186bS7WYC+o20qyjynLMVA21pLksSkqVtT9kShTJz1TN916ChA62igo4LM7umuQwUh48lMQB5nCGvO0K+f2xUl7j5zomTjkEPPdDBYcEX6sBE5dbwArO7FL6+NpZPo9saQnJ11cYVd4QvPE2QVuNgZ4GiuoRT4ylrXqQNtIYpjfvtPf82nL6/4m//6N/z1f/1bvv3+nXSbHEBhjSFJEhffNH77exaEcgBcrzWds4ZRQTgokzZty/sPH9nuDhhriSJRdrYodvs9eVESBAHjbMx0IrZAZd2Ij54XDQkFvRyPR4yyhDCU7nsQhiRpRhQFTMZjeft//QeKssYY6Xr6E8JoJIbxU7PY50/iR3Hw2d88unZ2PYubftbDErqCMVSKkFNXGSUiFF74LI5CptMMMBS5yKLPFwuW67UoH6MGv9WiKNF9R5osGE1GpJnMxoWDj5ZB9yfRMqEhiSJgmefs93s2mw37w5G6buh66Y7I9yqR7b/XrC9W/NVf/YarqwuXODtQQHthGGG6dE7dUMytK5qmIUkiRqMMkZXvyauS3//+H/hw9wBBSJYlXF9dcntzw2wuYwK+YTEwKOxpn3RdR57nHHY7qqp0lHuJ4QpYzif8+ssvePvmJaNRRhRH4OepMaeCuW3p24a2LCnznKooadte6JNpiCp7ARZwoyZBQJaKUqbte7pWoXXm1vyp06m1xlhFkowYT+aEUTLQzn+K5vxzuHzHF68NYQScx4Pxg0jeKV6dvtf95xSykzgbRNDCIBQwocpd4aixpntWjPoY9481v0DyPJnXlQKqqRvCMOCLzz/hi1dXfPP9B/79/+ff8/37DX7Ep+vE29r9gGFUBRczh1kxZLyo78U3W1lYzCdMxyOKPOf794+8u3tiexAbIaxiPp/Tdi0f3Jziq1cvuLm55uuvvyJJhPGUFzI3B2C1IRunfPL2FeMsGjpQWZbx+u1bWZNhzFdff+uWl9cxUKeGiwcqfKfSvfafNgb66Wf87LKnn3v62CmfV9YSWkOMcbOKSG6HAKJdJwDDdDwiCRR9K2JXi4sLple3hFmKViHWaNqqZLfZcjwUjK9uuXn1hun68jQ/eB6DrZ93lUKxyo8cnjbsdltRii5q6qY9eYgjTZayqvn48YH5bMrnn3/GfDEfumgyQtS72cRWPAzblroRKn9RVXRdRxiFLOZzJpMR2gmBffPtD8KI0WJrt17Nnf9sctJ/sQyvxa9tP1LS9y3Hw5Gnp0fy45FAwXg0FkX5oOdyveLlixtSP/oEnGZSHUDYNjR1SVsV0lnsOvpOZrTbPiQva1rXyPMK3nEUkkTRkMPIUSdMTj87aYyoTmfjEWk2Ps0puvfz31UspuPpsMGfm9+eZgifBRP/Z//QHI4bBAprevpGkgflMhZ10tMa5iAtajCCxytHnv1i8EOTXyoI8RXY/pjzsNnw+hcv+Zf/8p/y5Ze/4P/4j/+Z/+3//u/YbHZYQnrj+k4ub4hCP3Qs9J+m691iM3S9puuNE9UJnPF06CRmZeV48QvjVFe1doPbgQxDp2nqDnVL1bSEQxdSZsjiOGI2nxIn0YACWCSZq5qer777wJ++v6MzyuvHCx3NuodrTs8D7HDf8U/FMnChh8L/LAk7/d8OyTG+eFcKZZWvMPGD76ES7zEVOO+5IRIZjO5IIsV0lNB2DYXWjMYjbl9cM52NAUHzjLGUVcPjRiwdbl/esrpcy4C9UuKj6dBwUb2T9aG1YbvdcffhI8XxQNu0xGEofG1HJdVGOjMi2iAeZJcXKy7WSykUfzTk3nfyeoyF7e7Id9+/4+H+AQtcXV1ydXlBmgiiVJQV9487/vPv/o7NdsfV+oK/+vJTXlwviQK38aX/zklB1h26Q9LWc9jvebz/yPGwp20arlZTfvX5Kz4+bMmylC8+f8tytXDBVQ5zT1k1fUvftehWKD2tEwcCCMOISEnam460uyeayCEQcSTCBEJzFvELgUmkGO87GaaO0jGT2YIoSd0shuvKWJ9o/LyuKI6HQtwinXuLORPVcDOF5uSVCO5eKA+oKTR6+LjV3YAW+uc3UEx9BqA8Bcsh9b5ND45pEJ51qhWBkllGY0UkJQpDXr56xXQ6Zbla8b/9P/4dX331rYg8KYWogvciHx8470B3WSNzYIK+C7UzdMXFdDwiiWN2uz2PTxsxQk5iRs5qoa5FVrzX0oHzs8R9Jyq+w+UQZKVgOp5wdXnBbDojjkM89UihMVrz4f6R//hffkdeNYRJhldPlWUnid0ziTQPmJ31C2Wv/UQWqs6+AQ97nYQIToCoiGMNpuWeVqF8d/j/y92fPcmSZOmd2E/VVt/dY79bLpVZ3V1d1V3oboDYCAxGKCTnAUMKX/gn8o0i5BPfSBFiCHIwAzTQXah9yfUusXj4aruq8uGomnncrM7CCJ46rermjRvh4YuZ2tFzvvOd7xMqvMQVRxxrskTLXElnGE9mzJcrspGomLZt670mazGY1xHjyYTJeEKaZEJp7QEYmZGWOWjTz2RvtxseHtbstnuOxZGqrCh9sWj9NYxMR103LBdjfvAn3+fjjz4Qb0OtfYdWVHi71qPsXrp9vz96vy9DmqVMJhMRsIkjqrrmP//sV/zkZ7+iaToW8xk315d8/PErFgsRJzs9f6egltBnWzaPW27v7iiOB3BWfG/jhOlkzHIx5fr6mu999JLJOCfyM1/KensZazC+G9VUlVBPj0fKogSlmK+WJNlYapwoYzx5Q6w1kfZ2VaOcJI7oOqFvWY+sByDPOm/aHsVMlmJpIgIlAdiDU1Dou3JEUYKl8/j8e4Wczw96AqJX95QdRe7xKIqJk5w0yz17QtR6m7oUddmuwXaBJdFJlwzlBeQSv/9KHnXq29uzlsKseJwSOUNrLMY4RvmI8WTE2dk5V+dL/i//1/8HX3/9NcbJ64fc6KkK+sCGCbY7rTF0XnAn0Y7z1YIsy9jvd7x72LAraqrWYiyMRhlnqyVvXr9ht9+zWix49eolb96+RemYjz684fPPv6BrW2GA+HxslOdcnK3IsoRY0+cmtus4HI58fb/lr//2FxReAGzYU4JdneuZH0+P073XX59vbMfq6cNDIkgfynpnAoX1zDFFjCXWYpuhGXQflJLxItDMx5lX3LSMFktm55fEeY5X3ZOZ6e2Wh/WWzmk++OQT5ueX6CR5IpQZPqND4kVb1xw2jzzc3rLbPgooT5gvFSAjfNTA8Kqqmj/9wQ94+eqlz+WCjY7YVLWNiCVWnplRefFEY6x019KMUT5mPJnSNB1ffPk1X371hrJqsGjmsxGvXt4wmYz9eVB9cXvaiTc+NyjLksf1Aw8P99RVyWQ8YbGY0xnLmywh0o5n11dMp5O+BrL+Wlgf79u2oSn3VEVBU5WeOurzLhXRWSjrRmQnPYCscWRpQuJZRCHnFwGzqB/dUM6h44TJeOo9dU8Yie81nH7f8e3F4mTSF4RhWPlpkSiXPJQSARWRDSQUlEbMqE2HNS24zhc4Xd9RHBauGgKLEvRKeWVQFcdilhuG6JQo1qgwVxBp6rZlt9uBu0EpOD9b8k//yT/i3ds73r69E1NyVE+jjbQS4+HRiEhrGb73aK3pTE9DdQ7iSDObTRhNRvI9XM+f1kphbCet3q7r55yStCVJU2/kGhN7qfxO+UF7pclGOeOxqCqFWRzTtjR1xVev3/KTn/+G9a6QYXt818p3qXqUXZ3cfqFuH+LD7z2ehKFQfKvhevbdYULnkF6ZUWtNpMKQu38h5/x8pxNT8DjCdB3ZNOXZzQXnZwviRNHUgnA0nWW9PfCw2TNfnvHs5ct+AYdmYqA9BWSuKgq++uo1X3zxJVVRkqcRozTh4mzF+fmSN/eP1O3gb2mdUP3SNOHZ9SXLxZQklq6jNU6U0ADTWcqy4e5+zes37+iM4ebZDWerFbPZRDbDTjj7D49bfvrL3/DV6zu00nz06hl//MkHLCYZceTXsLNYI5uexzEI3nttVXF3+443r1/TNA3zucxRZlnKxfkZP/35r1Bac362IPFdwNBVFQ/GkvpwoDzuaSqhgYwnE+bzhXgeeTEdYyxRPuPyasMXr++pG6EGZYnM0YVkSCvdy9tb29E1ItgznsyYzOboKCFYClhnMc72FI3v0iGgk+3vKaciX1f5+BYKrUCP74+TzVqF6xyEv0KBKTTgPhZ6OrJHdobOvRPhGecGVBzcoEjtAhAn92vXSRJltCNJcz763vf4y7/c8rjZ8tXX73BI0qS9CuAwgRLeuZ+x9pYvOBGTiZTi8vKCrmv5+vUb9ocjcRJ7BbWMum7Y7vZiDo90Vau6JsxGuwAs+c1MYq3m6uqCyyvPogChB3UtbVOx3R74f/6b/x8//dVnOB3RdcNctwNPCfQJz3v50SnWHvzWvvlT9eRbIWQqgremGxIpAu3UedkDmc/XSoCy4LsK+Nlkmb9Os4zF2YrxdCZiUEa6jzJHXNC2Hfl4zNnFJePJFBUNDJkgMtb5WXXTtux3O+kkbje0nWE0ymmbDhR+Bt709kzWz+JdX1/wyScfMxqPRFQG0ws7dI0UiU1TizH4saCuWyKtGY9HzGYzRiOR9DfG8ubNHf/5p79kvdmSZSPy8ZgPP/6Q84szokTYQcMMtvW1tpE4VVdsNjvu7h8ojkeSWDGdjJhMxsRRwsX5GTfXFzx7dslsMgLbYY0CI/PoznhQrPFFYlHSVOLxGMUp0/mc0WROnOY4NNlozkfrI6/frbHbA1mWMZ2MSOJI2CZBDTWs/RPEYTyZcnZ5QzKa9ICqc/SUzO/akaa59yhtBcAyHcYZH9/kMT1g4mnXWmlv/RTLLH4kXcTOdJi6pu1aXFf652vBA2VigKF8lyNCR6nMOMYpUZyiVVB+Vz2FEIAkxTmHNi3OC6vFcYKiJULxwcsX/LN/8g/5v/3fv6YqgliOwykngnhJgiPGeB9tkCkKa4TRFBi2SRpxc3WOc/Cw3rLZl7RGzkCWxbx4fo0xlne3d+g44ub5MzabLYfDkQ8+eMXt7S2Hw8GDYsrvrZbzsyVnZytvfi4xpWsbbu/u+elPf87/969/wU9/8RvpdIcRAx9rfDIMAcz6Qxf099SUTyPeN58hvERgUsRoYu1IlSNWEvuGYs7RtCJmNR1l4tU8mTJfnRPnY59zSKFY7Pes7x7Y7o5cXL/g+csPiZLEF4mhUBxAOmMMTVGweVyzuRPw3FpLlguzxSGF6hP2nAJnHUma8NHHH5FmmTAsEDZe23U0jSi6V57C2TQtXdehVMR8NmE6nTJKR149Gu7ud3z22ZfsD+KZHceaq6szXry4IvHjSmEMxLrADBKGRFVX7HZb1g/37HZ7nLMs5wthDKYZx7JglGdMxjlnZyuS4DvrjF+HFtM1NHVFVRyoiwNNXcmMtY5I8yn5aAo6ZVR3HMuO8+WB/faRykgzLk1EwClcc4Xz/u+a4J0NkGYZo8nY54qqD4RDd/TvPr61WEy8/9JgEOpvyCdPGqhBp8Wi69X98O1VQeZbXNf67xu0D1AhuRgWucIqDVosElQco02CtqKsqqMYdIT0QyThVQyGv6JKKN4rWZ7x5z/+EZ99/hU//dmvaOoh0XUOkiRiMhmhlaYq6Q3XxTPPSbC0EAWqFIqdpwHJYyXzsEgSYa0ELPFx6cSCAOWRfh8wvWeY1prz1ZLlfAZOlDtt19BUFbvdjt9+JnYZReP52lrjCGozgdb2zSvx+48nKdXwV0DzlP+GL0ZDz1H5H2rUIPIQydd9d8Q/2lqZA1DKEWmYjjOuLlecnS17BU5rLV1rOB5r7u4fqVvHp89fsTq78EWwBHTl/TvDDM9+t+XN11/z9s0tzllWywXz2Yg00hwPBXkac6rpFLoWxhgRtrk8J88ztFbe+07sUZrOstseuL17YLvbMR6Npcu5WojXopV5QJT4KD6st7x+u6ZuDLPZmI8/eMH1xYI4UsNG59H+QC1xPomqioL723fcvnuHtYbzi0tunt0wGecE0ZvFYg5KMcoTFAZn5P5r20aGvrdbjtsN5UGQ+tliTj7Kmc5mRGkqqqdOcODZEqIkR0cpv/jlbzgcjozyhDhWw/pRXjwojmmbFmM74iRmvlwxGk/6rqJz9Gu669pvCxt/L48ojoV+paVwk7gnglOhOlH4H4OPdbLe+hnGHkyTTpk1DrAnd54b7jN/9F2tvkPvcCqW9+CjoagPetxZIYIxCkHHwSdhhiiK+N7HH7L5y39A3fx73t09yDXrDJHSJHHUv6ZzYJ0a5jOVCPDEFmaTMWdnS9aPj7y7vaMzhjzLcAj98ngsOBZlT0sVVFe6k8qvpyRJSIxFRbIXTEY5H3/8IfPZTF7biprwfr9js9nwi19/zr/7659wrMQTVwSWPMXRhiKZvhgdjoCuSxfQuZP7MPz8tHMR/vTn9XSK0T35rYDxq5O/AwjQti3gyLJUKN95zmQ+FYAlFs836eCJd+HxcMBYx/lyxWp15o3qGdBpIwqRVVVRVwW77ZaH+weqqiLNUi4uzkmTHBBgxwRVWOs7oU6sM57dXHN2tgAC00UEclpfKNZ15V+jwhjLOB8x83PcaZqBp582dcPDwyOPj1uquiWOUy4vznjx4jlpmgq6b4x4PIa43nXUXjxit92IRVQnAkCB6iciZTCdTTk/X7FczNARmK6lU/65vGJqV1e0VUFTliImZC1ZljNbLJnOl+gkAyWjMtNkxI/+/EdUreFv/vZndJ1hlIntRn9dgyl8oBUh1kCLswtmyzN0nPi4TT/e8V0sFkf5VBLuk+5ICFLan6NIRd4O61QUCd857PysdUXT1tiuxJgOZRqslUIf1w0Uew9uybmvMVGCiRPiZESSZSQqJ4oTaQz0YJi/B63kgFKIRURumBf/4Z98yue/+xH/9n/6T1SN5HUGS9y2RNMJSRpjYmkAOK890XMefK46m4xZzCa8u1/z9dt7qrolSlKmkWK1WjAbj/npr37Hse64fn4lbIuHe54/u2G72fD69TsRHIxjEVG0jjwf82c//GMuzlYyvuCFII+HA599/iV//Tc/4+e/+ZJD3fWCj0MM+j2V3x8uF795/L6nCZ9bDXuZVopYO5IIsgiSyFNQgdBtatuWpm6JdMR4lDEajZguF6Tjicz3enXb+nDg8f6B29sHXJTw6pNPGU0mw0urUJhILWHahuJ4YPtwx/rhgaY8EsUJs/GELB9xOPq57NYQsB7J6yTPXa6WXFyde4Vdi3iqiyhkUR6Fqt+2PbidZxnT6YzZbCa+vkpjOstue+TN23vW650oSysYjzI++vAVi8W0184YgD1L10k8Pe53PDyu2TyuRUE+yzlbXXJ+cUGe5XRtA9aQJgmTyYjxOEf5vBLnlfDbhro6UhwPlMWBtqnBWtJ8ymy+ZDS7JMsmoFNmzjFfXbK6eMm/+/d/zd/89HdUVUnmtSiGd0rPmGyaRuzctCYbjcjHk774DeBYUBj/tuNbi8UQMG2PHPpk/LTu6L+UhMopetqWJEzdEEC8DLgzBuU6sXW19uQ53QDUKyWIhdYoE6G7Fm1SdJygY9t7gwSfHpnvgUjH8oeIzrZ0puH68oJ/9d/8M8bjMf/pb37K4VCEl0LriDwTVcwklkF9V5Q94u+cQ0WaUZ4RJwn392vevH3H4ViKcI31iZeVAlMpTZyIl461lqqqcA7aVlS6okiTOEEWLlYr/vLP/pTn1xfEPkmVoTfNoaj46t0995sDTeewaKKgGxXe/Mn1OMXPe1Qp1ITfEn/U3/kACIw4jdh8JJEiiRBOuz7x8PRoi+nCtTXMxhnPn11yeTEnTZNeEbYsGw5Fxf3DgYfHA9lkytXNM0mwrENpMJ0XITCGuqxYr9e8e3tLXddcXl5wtlowyjMUlqYs2G737I8FTesphP6TOefQUcRqteypBAFBMcZSljW394/c3j1gjOX6+ornz24YT0ZoLeg9YR+1ls4Yykq47+BYLWbcXJ+LuE2ffyjvWWcIlhpN27Dbbnl8WFMej0wmUy4vL5gtFmR5JgitV8uNk4g0EeqK7RpaA9a01F7Q57jb0dY1SRIzHo9YrFaCFEUxoD21JwIdo3TEBx8tOL+45oNXL/mbv/0Jx8Oh3ySUUuhIPECTJKWOKpxzZPmY+XLpZfD9PekGW47ulGb4HTkiHfwjQ3ER/MRcv2kGMAOGmNcjch6qttb2MS6g9uE5wnY3BM/3QB+nMWgiB1aBNtLtlEJO91RF56vVzljq1jBJNJ5PSpok/NmPfghE/L/+3/8Dm+2OttNA621TYj/b5T+XL70CdStNEi4vz7HG8vbdOw5FCSpCRZqyrERKvGqwzpL4ojDPcvI89aIoLa7xYkDe9iNNEr7/yff40Q9/wGiUY4zMN5dV3YtI/ep3n3P7sO39e6NAT3PuxLj75AgJaNh0+kLR//vkLA84mF/zapCEDwj+QMOxBH0+KRgDBc+vCifd3M4LeWV5xmg8ZjKbMpnN0LHMWplOzJiPx5Ltbsd2u0NFCYvFitFkglYRYX45eGAdjwdPN32kLAriKOLq+oqz83PyfERdN6zXGz+vKDNa1rNyjLFoLbEujrSo6/qCvK1rP7Mv6LW1hiSOWczGLBZLJrMZUZyImnJV07WGpml7JStnLaM844MPXrBaLURszAkgaoyn2dY1ZVmx2+/YbXc0dUUcx8znU+azOdPpmDTxQhKdABvT6YTxKAfnaNtG5sa9XHxVFNRlQVdVGE+xH08nLFZnTOdLkmyEcUN33RGxPDvjn/+Lf06S5fz0Jz+Va+nXoY7iXh24l5TXimw0ZnF2QTaZ4lQA2t6nJ3+3Du09f4cjsJTomQDOGUwXAAkBv4w1WNNiTIczDdbK11iZT9a2O6Hqdwxq9vIaXi8dqxtsG3n15wyTdWT5iFiPUbF4gAYGhTYKFdF7+zoG2vx4lPIv/tf/jF1R89f/6SfiweegqkQleDQakUZxn4s2bQe1E/9bpcgzzdnFOdtDwcPDI9vdntY40iwji2KMg1/8+ne8ubtnMp3x/OqSqq4YjUccjwVffPk1rbGkmeyfIZ7/0ccf8k//0T9gPh3J/Q1Cyd5suL295+5xx7FqaN/LzZ/EOPf+NxgC2TeT728+LuTi7u9oH6gACkCqIY8gjxVZ5H2zGfaasqxpm4Ysy5jMJpK3ePaEQwSJ6vLIYbPh7vaOx+2Bs5cfcX590wtrKed6iqjxQjPH7SObxzXFXuL+ZLYQxsBYCsztfs9md6DpDCYAuIBTcl9fXp773FLWWtd1VFVBUZRUdSl5ipOm12Q6YTFbMhqN+7zGGkNRV2w2GzbbvReFEy/qZ88u+OCDF2Teegfwrg0Sq47Ho3RD1w8URYGKNOcXl5yfXzCbLUiSBGs7qlKYJUkSe//hmKD6akxHUxcUxwPFYUdZFNiuI4pFUGd+ds1sMkcnM1ARzsl+Op7N+OM/WXD97IrnL/6W//jX/5FJnkgNgVxzpRCVfq3k/rWGSGsm0ylxmp5YywyFojHfntd9a7HYVFXfoenfhCyhvqgbOplD4hN429bTroR6FSgOPlCf5kx+UfYod18wWrAaZS02ElW8yFgiGypnIPKTdHq4MZx1uM5gG0luFfDpJ99jNJnxsN7wi5//SvZBLWj6dDphNh3TNg15lrJNEsq67lWMtILxeERVN3z+5Wse1o8cjiVl3YpojQ8+Oor8nGLqVSZlszae+iAIkiJPE25ubvjH//Av+Bf//J9weX7OKPNiQlb8XPbHkrd3a4qmwyntfQ2Ha0C/pcHpjM775t/+jIerFtIrxE/uJBqdFJ9yHgMaL0VhrKVITCJFovFS/h4F9Chz04gVyXSc8OLZJdeXK0ZZ1CMxh/2R/e7I477gfn2kqGqeXz9nOpuglesRl87Puxx2e+7v7jkeDyRJxgcf3nBxviJLE+JIY7qajenY7g9stgda43paltwEcuMvF3OviNt5H0zD4Xjk7m7Nbn8gTlI++OAZz58/I8sSn/yLN1Dn33vXtijnGOUp41GGtY6rixXn5wtRtXIiHiLWKQIctI1HzrZbykK8ml58+CFnqzNGY0mSjBURi6qs2O32KMSfSWFpKqH1tHVJud9RVyXaWebTMePxiPFE5kZUHMlMknOgHToSOowUjRHL8zP+7B/8GTrS/M1//E84K/x18UWNxXst8rRuJQFlMp2hPAfQuUEkIPz5zh2eLtpbmtgT2miIa33xGGKg7dFGnPNWDwKAKY+AD8JfPvF8koC6XkxC7k6h2Bvtf0dpjBGhKKU0OrKgNM556Srlu+QelAisi9lszp//+Z/x+Zdf8R/++m/8PIQl8sVHmojBcFkcMUZAjeArmaRCE3v99g7RlItAa46HA48b8Yl1TorSJEkY5Tmz+Yw8y3pRAYXyqqqWOEn58NVL/tW/+pf8yR//sU8ELK6V92uBurOsN3uOZQ1K+7WoeuYDhL+HoKZO/hsEn/tCUQ2paXh0eCp98rSqBwSQvcYRMixCsRj+aCCIgbTWilKos+SjnOVqwWQ6Jc1ESbNpRJl48/jIZrdnfyjEW/HsnMl0Rhyl8km8OnZd12y3W+7u7tlst0QKzs8vuLi8YLFYkOY5trN07ZbjoeDghXSsG8YOjLXoSMuMfFvTdpXI3ddB4KGl7TqiKGI2m7OYz1nMZ0zGE1QUU9XinVhVJVVZYaxlNpsymU7Y7UsuLs548eIZaZZIJ9nHxaoqe7uQ/eFIUZbgHJNRzmw2YzqdMh6NSILfIR3GirBMlkpX1llD2xgaI55iTV1RHQtM26J9x3Q2mzFfLT31NMOhca1QdrvWoGKhrC3Ozvirf/RXtG3DF5995pOknCRJevulcFG1VuT5hMl8iY5TMXg/AVC+q8Vi19UYK/PTthPaqOkLPb/3uZOY5/M7B+jgee2BfotF2TBa5CeKQ1HTg29PtS3EX9jP25paqKJdQ2ZBK1HND/TX8FomsCGM99m08vpXF+f8y3/+j3n37pbfff66n1urqprVKuJsPkEBVVVSlDVRJIbkzjnyPCdKMj77+hbTdjigMY66New2B3aHI/v9ER1rPnj1gsVsymEv9lzb7Z6q6YjiRLqiHi1eTkf85T/4Id/76DlJpPr1ZLwSf9O2FGUlVFjerwlPcrf+m++tv/dxx287+m3Gs7R6GJ2eUh9rRxY5xokijyHVYVZSNBdEW0Jm55bzOfPFgtF0gk7SvlBsyoLDZsv64ZGH+0fKznJxdUU+zgHJHcBhO7GTOO637DYbiuOWrm2FMj5fMJkvyUYjcRBoGo7Hgu32ICr1/eeVdRZFEauzBc5Z8UL3LL6iOFIFQCxKGU/GzBcLprMZWZJ5JwZwxlDXDY+Pm755FOmYJDHM5xM+/fRDlsuZH62Qc2eNpW5q9ts19w8P7DYbcI7FasXZ+QWLxYo0y0UvwzmcaanqkqosiWMRjdNamBumrajKguPhkePhQNtUAIzynOl8wWKxJBvP0TrBefEp69UlwEEEi+Wcf/ZP/yHzacYXv/1c6gNrBe70TSuFzMlaa0nShPF0iva+8s7ndjJ3af4gY+xbi8W6OJ5s1v4/oQPIN8GPp7LZAaEKnUONiiOPgCuUVQz2GI6AzAcE4rR75sfQ8VlAv9sLl14Mm511GCfiCl1naCND5+0JIq3Ikoybm2suLi/4+c9/TWcNaM1kPOHDD14yn405Ho7sxjtGo4zd/iB+K518pjhJOBaVqLsdC4q6oShr2k5Q9GAcPx6PxTtFQdPUdEY6Ug7vxeYsq+WK/81/+9/wL/75P+HZ9QWjPCFJJDFXNqauKu7Xjzw87rBOkHDbn2kptk8FKX8fCPWkxRiSKcROQzme/kbYID3K4ILABlJQRhriSMSAwrC2OikUnRNeeV3XmK7l8uyCl8+vyRLpjHRdx3574OHhUSTaq47dQewyppOJUFSdDFo3bUfhvde2Dw+0bcN8NuP62TMmsxlZEhEnsSSUtcM4xf16w2Z3pPPyxH1AtUKTG+U51nQ0Fqq6YXcoeNxsqaqGxXLJy5cvWZ2tSNMYhcVamWMUUaKaspDgo5VmPhuzmk+II8Wrl89YzqfeNFquiekE9SyLkv1uy/GwA+Dq6oqzy2tGk4kXchC0Fm+Wejgc2G13KPCFbUtlxAesKg60VUEWa2ZzmfvJ8owkib0JglfRcga0RTsZbFbetsE4Rz4e88n3P+Vxvebrz7+gM1ZEmzwFtTeejxPGswVpLpRr6xzGI7md9wZsmu8eDbVraym4T4VsQvEXEqd+YZ3EugCm9b8nyZayPpa5oEB6kiydFIuDkIbca6JMF5SgFbqJaGuh00VaD4UqQczJzxtCXyw4p1glOS9fvuRvf/JTjkVJnsmc149+/GMuzs949/YtX335Ocf9vi86Oh87d15heOxpg8ey4v5BADJjrVBMk0RmjL3gixQjoqKb5SPissW5iOfPn/Pf/e//d/yLf/HPWJ2vUH5mOFGKtOtI05S2M6w3e9rWEqWJzzHVAGwRzg/00Jc6CXHO+Tik+k5hEGPyv9KHwUBn5eR5w7Oq0++F7YeQXHlVORPsJsTeaLlccHVzyWgyRmlN2xmq4sj93R239/fsjxVNa6g7w0WaMxrJ47pOis3D4cDj+oH1+pGm6Vitzrm5vmK1FNENUbODzkrn7u3tLYdj4UUVhpVgXbD2UDIiYRvf8RPPVKUippMxs/mC5UKK2zwVwba27SQ5C13BtiPLcibTCcvFjOOx4IMPnnN+vgLCORDT7N1OxHfKspSEJE6YzaUYHY/EPzLtEW7rQcWGuqn9dXBelbSmqwvapsLUNQqYTnLGozHT2cQj4jlai49n14oYRNe2WANRLMlrZy1nFxf8+C/+AU1dcdztQEGcRB5p177zJbSs8XhMPp74GVOZyRYAJrCevns01OK4oTPNILhlOz9iFAQH8XmfN8c6oZEON6QSMToLqAi0BReB0yhnPDVCxOyUC/PeQ6xzzoJpsVbhjBvegy8w4zQjaBeKobso3puuE9X18FyR49XL5/zxH33Kl1++oTXy2Eme8ieffMSzqzPKouDr1298nHReR0KK0ZDTKaWJ45i6M6zXW9bbrd/nFB9cX/Lq+Q0PD/ccjwWHssFYy/nZiizPqesaZx3Pn9/wL//JP+Cf/uO/4mw569c3vtOTeJEXsYEQ9fXTtLqPUf74Ri3ohu8+hc3cSag7yZFPQE4BLrX3SPaqz0pop1kMeRwoqD7O+v2q6zoOhwJrOhazKfPFwnfmlBRcZclh88h2vWazObA7lKgoZzydSBOh63DI/VocD+w3Dxx2W7qmJkpilssV87NzRuMpUZKiIylQq7Li/u6e3f4Y8NThNDh6kayua2k7odYXZUnrVVonkymL2YL5fE6Wj4iCKKWTvbttOzabLY+PW0CLN2gckznHy+c3fPDquTR88CrVxtBUJXf3dzzevaWsKsajCRdXV6zOzslHI5Rni4ATINCr9rdtSxzFktcZQ1UWVMWO435PWe7EqiqJmUymzOdz8umUNMlAg3Wd78gqnNOgE7SKsVb2sXyU8cMf/oAIy/2bdzJJg+gFxFoaVl3bYq1hOp2QeYXusHeERkBQh/6241uLxa4uwdM8laeFwlA/DuQFWab93M5JfamDiikR2MgL1IjgzSB2Y58kZliL9hTYE3AEjHR7VKdEKdUIZVOpGKsc1htFWOdEKc5IMSpdFvEBOztfoZOYrukYJzGvnl3xx598zHiUcNjvOexnbLc73t2veXf7wLGqaVsZ0m7ajqbpqNuOumkp6wZjpUOTosjzjPFkROjGxHHKZKIwxnEsCtqmE5GDPOdP//QHvHz5nDTW3gcrnDTL4Vjx1etb9kWNw9Nm3HBO3QCz9N97/3gC7vUBP6QWkgkNSdOALiijPO0UIiUD7hqIlTek9hQF6QR6hSpnaSopqjSWm6sVs1HqhRUM2+2O29s79vsjbQdtB2Ut8v75KPPeMFJUP6633D88cDwcyNOY58+fs1rOycdjpFEm3oAg8shFWXF3vxa/LU/LCsq9eAVJ6yxlVWGNGK7uDwUKuL655vr6muVy4QVABHQIxLO6bvx8atVT7kZZxmIxJc1SXjy7EpqCct54XOh1m+2O7eMGYzrm8yVXV5fM5nN0kmKCaI/FI+o1x8OB/X4vPmH+arZNizM1dVnSNhVZpFnMpzKnmaeDkasRlKzrLMYqnDJETrqKRneiPOck6K3Ozvj0jz5lt3mkPBZCJUyFfi0zt5Y4zZhMp0SJVzq0MnsXTF3btvuDdIW/j0dT7BE0NQAOoSOIB1PCMXyl1bCJDYBNALoCdd96Qa0hEQtBun/GvpD0Al9uCOYoQQkdVtQnHSgnYiZNK0ps/XpHmBIiHqy4uLhglOfsdnvS2ZSb62s+/ugjlmdLprMpUaxZ390K/bBueFg/ilS3t/iJ246uqrm9u2ezO9B1ovQ8maRkeY7SiqZrsYdgk1D7bqijaSR25aOMq+srRqORfH4vlqEjLUwEB/ePWx63e5RP5oeOxO+PbSieity8N3fo+lbj018a1OyGol9+XQ0g53sdZByDEjeKphP6etW2REnM9bMr5sslaRqLImR15HH9yN3dPcfjkc6KVL91mtF4QpKmXkhNQLE3b96w3+/Isoxnz59zdXUlXcok6UEGYwSIe9xsePv2HWVVCwU1oMMeQNSxiIWEDq/pjKivjseMxxOm05kUiSMBARRKqKp1w2G34+FekuEkSUkTESFaLeeA48MPnpOPUnnuruVw2LJ5fGC73VJVFVmaMZ5MmM3mzGZzsQUJ6oceYHZOmD773d6j6aJ02tYOZWpsWxPhGE3GjCcTxuMR6WhEmudiQ+OUF9IQwQrTdsL8iRIBja1Yj8SR4vnzF/zoRz/iP//t39K1tReZkzk805leQyDNc+IkA1SvGtjP77jvZrFYlTtAZrxCRiAT0tEAqGiZjVUnwlgBuJB7w+tQOCusDK8cPYiABbDt5HEeCLN99u/vNdPROdF7CPlgOpnLDG0Ab40Van8A9PzbwDnyNObjjz5gPBnxuN2jdcxf/OiP+cf/8MckSrxgm+pIURREyuG8QuSxbHpV4TgWHYyirHnc7iiKSlShpxOev3jGZrvl7e0DZVXjjGUxHXNxvqKoO3a7nezrxvDi5orn11ckOrxBhrEsZzkcS6ra/J2r6nQfCXkkfbz6Rvn4rUfPfvEzk8MfyZ98Vk6sEKsgTgtWeb26qimKkjRWPLu56ItA23W0dcXhcc3m/oHj/kBRNdRtS5yO0XGEdaJPUTcN1WHPbrelKY8oYLlcMVmumE7nxN4cXnk1ZGxHWZR8/fVrqqbFot4DW60IrsUxdVNR1yVVJYD+ZDJivlgymy3Js1Fv00d/Gh2mFUD03ds7msYwmcyJogqtNfPZhE8++VgUS5HHS95Y8PDuK+4fHtBYnj1/weXVjQBNOhp6ak71s+RNU1GVR1+DRIClKo4421KVO+pKCtv5bMZkNmE8Fp/XoDKN7Tw1X0uxSEKcpvJcHqS1zjKZT/nk+59QHY7sHjckcSRNAD8W0rYtSmtGkwlxmgyK4i5YE4Xc7r+iWDRdOww4B/sKGPiuqCeFY1hiygeWkBQEI2rn0XYJNN0QXHpEPsz8DHL1WNsXpPIBfbJtpBhUWihxWoHVIkVrEeUr4+chg59JGkV879ULvv/hS97d3nOxWvK9j55zsZKO1XKSYy6WlFXF/OuJKMZ5So5yQWY7ojWWygsGSG0sHawsz9Hei9FZx3S24JNPPiXLMv7Nv/kfePvujrbt2G73PKwfqKsKlcUoYiJvzdB2lq/e3vPV23taC72cNCGZeZpc9vnQSUHZnyvof1fAep/dqgGNUj5gG2ug84/3SGCsYohAodF4zzGH734Mr9d1RuYE6orz5YSXzy9JIkfXtGx3e27f3rLfHQBFnKR0TcOxrDBKaJDOSrK63Wy4u19TNy3zxZyrC++LGEdEXtUxiGkYLxX/sN7w9u7RS117gSG/mYgZb0dZiBF0QIjGkzHT2Zyziwsm47HQNv2pceApl4aiKNjtdrS+A6q1IEORhrPlnPOzhe84SECum477+zXb7ZY0Sbi5ecH55SV5nsv95NHbXvmwFbra8XDgeCz9rKYkM11bo2yLRuY/Z7Oc+WxCmia93Lj1waLrOu/DA07HsulHKTq2/UbtXESUxHz40cds14/84mc/I9IyT6a0xnjvqTRNGY0nngpofdNfULK2acS6w/0v27T+PhxNsaUfPFW6v7N6dd6TWDeIpNALFPTFpQdPhH7fEaiooogafDddn6iB0FdxA3cgeC45o6BVVErR2U7UAH3HzUSKou1ojKgQ9/d4FJF4+vDNs2s+/t7HVHXFbDJmPpuSpwmjNEWfrWjrZyRaUZQFd/droURb62e8IlpjeFg/st7uqOuuR8fzPCPLc9pO6IRpNuLZ1RXn5yucc/yHv/6P7HY70izn9Zs3/Oznv+Dm5prrqwsWswlRloZTwLEo+er1O/bHkhDPvNC1nyl8Qpbn/YSptwUKBeIp+h4Ath5l98/gaVECJmmvJBpEjSSZkv3Ig6MIi8UpTdMZirqh6TpmszEvXoo/YNe1FIcjD3f33L57R11V5KMRtupouxqdxKRZTmcMzX7H4XDgYb2mrmvOzs64vLxiuVySJt6qhmG2uvaCZ3fv7ri/XwtIcJJDijqfmC2Lp6aIgWR5TJ5lTCbSmcvzMWmW9RYVppMYutvvuLu7Y7PZSAGV5bSd5VgURFrz4tkNl5fngKWuS8riyMP9LduNKBfOZguWi6UoDI7HvVBOuF4Sd4WRIJ/7gcN+L53aJsNkSuam8hGjPBF2Tkgg4xirNM5YXNdh21aEuDoRtNNRIqqacSIgi2npWkWaZnz8ySfsdlt++8tfeHRfgM8wh6eiiDQfo5PEJ7atqHt6kFkoyt+9YtG0lf/Ki0ah+xgnen3eC2/Al3v0OfKgCSrpe1oqAGK+OMQanBe4wXdG8AJuwRrlNOcThN9g25rGI9zGKtyoQycJRinaTkZ5Ihs6Y8o3MSSHeXlzzScffcjPf/U7nj97zg9/8H1GiUY7y2o24dOPXnG2WLDb73nzsOPd7T113dB1lmCbZaxjfzhSlhXOOuI04vmzG+rW8ObtLVVVo7C8ujnjj/7o+xhr+P/8u//IZrPF6Yhf//Zz/qd//x/59NPvcbmaEoVzaEU19uFxx1dv3lHU3g6BcF5Pj9PMbfjO7y0V1e/7Jr5JEMaMPGPMGG8npnCRt4bywGTwl8Xnsn5lYK2jrCq6tuNyNefDD54RaY3xHf3DZsP6/o7iWOCsdPXbzog1l2cQ2LahKAqqwx7TtYwmU6azOdPZnCTPRWtBnYiXOZkJfPf2HW9ev/PgeshWXb8ctRJ2RlmUtF1DpCOWizNWZ0uybDTY250AgM4KK6IqKt58/Yb1esvF5RVRHHttAbi+vuTZsyuUj7/WWurDjjevv+Kwe2Q2mXL17DnLswu091EG/979ezS+CVAcD9RV1efrbV1xPBg/49uSZzH5WKj6aZ4JIKY9zdQan8uC6RTGauI0I04zolRYFKYLYk+Ky+trXn34AT/ZbLDOEkdSwJq2w7QdcRyTj+S89GB1mCH1eiL/dcWi6XhfQjl4pQwCA8O6Dhu8UloKjCgSNC+c1B5ddxCKRdxA+fJBZZh17GTOzITCErn4HgGk6ySwWSczi5FsBMY6bBiKdANCnSQxf/HjH/Ls6oyH23uUc1xfnTEdpySJiOU455iaKWUlC7DrDMaB9op8zuFnO+pho0b5QkKKnq5tcWgmszk/+vMfEycJ//Z//HdUTYMC7tZr/u3/+D+TZxmvnl9xcbZgPp8SacVms+XXv/sd692ul17s5zhdWJQM57E/+QOS/n56pbUkRO8nUWGRh981GFG69sGjbSGLFMTqZO/wJWZ4P4iMfNM0RFpxsVqwnI2xnRigPtw9sNsdSOKY8XiMVRHvNiWHomY0maF1RFHVNE3NdrNFKbi5vuTsbMV4PEb3s5EQuo/Oikzz5nHLF1+85v5hS9vZ3tIkLEbrCzMRZulIsphJPmU8GjOZzhiNR8RxNASiQDdoO8qy5HA4UpY11hoaP+dQ1xUYy3QyIk8zX9yJdcB2s+Ww3zOfzbh5/ozlckUUJ1ic9/jy6r9e7a8uSxluLo7UZUHbNGilaGuFyzXjPCKfTRmNUvI89cqTcoVDUWx9l6JrDU5Fgw8qrr9HXa/Yq8jGEz79wQ+o6oqurUnSBLzaqjGmN1gOSsP2JJC0fpb0u9hZtF3jCwLllZYHMZRAeQ/nE/A/E5Unof/pnkUR6FpCaZZrLx3arhc0cd4DTIrCzs8uesTcBlq4XOfO05Za3YlXmVK4SNPUrffai73UuShBx7HMh3348gX/p//jv+aHP/hjHu7vWSym4CxZmojJsH7JaDTi7Zu3vH17R9OIsbnWmjiKKKuK9eOGuvFiFSiiKBI6lY+V1lguL6/41//6v+ev/uE/5O7+nre3D3zx5Rvquma/P/Db333Ozc0vqeuKjz98xQQRgDpWFV++fsfXb25FxbpnWPRVucSyEwbE71N8/i/BLgIw1j/ee1f12VZP1XqKYof9LdhrdG1HXdW0bcNyfs35+ZnYXGw33L17x5s3bzGd4frqkiQf8eWbW7quJVLSSRULDRFIyLKM58+ec3Z25r0NY/BJq4iLiNhLURx5XK958+Yt+8MRExLtcDZ8VybPMtLUU5bThCzLGY9GZHlOluXESUrwI7O+UDweDl7yfYs1hjQT0FLmKHc0bcPV9SV5ntLUFXVd8eg7ikmSsFgsWS7PGI3HRFFCHIt6ZRhrkLxHzltVFDzc3XF/d09RFAJ8KbEfmeQ54zwlz4TirKJIQBsFznSSoNY1pm3pmg6UJkpyomyEjkc4LaJxAsI1KKXIRiM+/Phj7m/f0bVdf12tFd/jKEll5hvlKdgtbdN4mXl3snK+W0eQyJf9XA3MGJwfR7AyKkQAxsSqTGsNOhaPRCWJbW+y7hMC6+OZs95n0XTIzOJJZ8uEmfDOj2IIVRHnsKah9eMlmAadj8lVStszKIb3FOKudZbz5ZT//r/7V/yv/uJH4nG4mpPGiiwZo6OI87MlL192vH79mtd3P6Guah9/5ZwoJUyiw36P6YSRM5/PGU/GrNdryqpGK8UHL1/xf/4//G/5/h//Ea/fvOWnv/od724f0FrGPbb7gi+/fI2pV8wmI/JRjgaOx5LPvnzL67f3NOY9pooarsaTIvH9rqL7PbFOujffrDk5WcHWz7dbi1YG2ymsQkAY76N9qvcRgFBrDFVVopTiw1fPWM5GmLamqwzFfs92vaYqCpSKiLKYzlW0xhBZK/6GZYFppGOVZDmL1TmT2ZQsH4l6rBpeN9y7pm3Zrh/59S9/w2az99Z17+W5DHln13UkScJqecZyuSJJ0/5cBn/uUPRJfl7z9u07vvrqa7J8wmg8oSxK+Zw4Vss5ibeb6EwjAOC7N7RNxdXNM66vn5FPZ30tQKhrwvq3om5aFMIWa+rag0+GpoFIG7JEMZ6MZZxoPCKJY/EVJ+xRQ4ErwjMK62KiJCXOMnSUSAxTJ6KjccKLD1/xxRdfcNxsiGPx0O5aoZunaUaaZ/59+/zCWq+WLWMV7R8YL/rWYlHWp9xQyoq4whNKqjotFkNSJYiF7hfzUGwOi9onsp5ypKLY0w/kRGnnK+tOEizdySyc6Tr67pqxODpw3ioj0t6jcUBhlA9wobOogMVsxtX5GRpom4qmLDFdQ6AGWmupyorNZktZirx4AL9CoVgUooQaTjzg285tn2JopaWSjzTvbt+xeVwjAgyOumn51W8+I89HfP+TD/ij733ABy9vyNKE333+Jb/49e8EffLdI+cXvSPo8oVI4IZzeRodTi5JuL9CAuvef6C/8ZyTsQOLwSBFu1aOtlO4ZNgMegEIFzqSlrppqOuGJNJcLuekGor9gc12y94LyKxWC/JRxrHqqPy8ZzKa9miUczBbLBiNR8xnM1LvTylvUDYZa7yHTl1RHI589dVrfvvZF+yPpSBQfTRV/v+iIplksQz3jkeMxxNGo5EMG0eaMHtmEapL07YURcnj45btdkvbtWilaNqWuul43O4pypozj561rQhIFMcjxnRcXl1xdn7BbDFHa+2FKDwNxVrxtDLBB6igKI4c93sO+wNN3ZAmMdEsZzYdsZiljFJNFHvBmv7US2Lb+fMhiVCQhD8FFFQP9mgP9FgU89U53//BD1jfvSPSiqYVYQvrHKNMuuPOysZ/arDdte1J8P7uHXJLOSnclBTZzg/EK2XRaOl6eQDKKsQoPiRUWrxghUkRJN/DDPZJkmSCtYaoCdqgEu3NyJ2xWD/riBIKsTFCG1NWlIm1i2VtWesZFF750RcDkdLkecb3P/0eH334ku12S+GVeGXtCzhWFaIaVxwL6qrGIbR6h2N/OIg5cojLPp46xODaOVBas9/v+fWvf00+GvPVl1/y5VdfEzxSy7rm7e0dv/7tZ3SmYzwa8fzZJcZ0fP31W37681/zsNmjosR/3gHcC3vKcHVCevtflsIPNPv3LrIv/J7mZvIPdRJlZYtSQaBaQKrWqyE7y9lyThpp9o+PvPn6K+7v7nHAzbMbVpeXGAevbx+oqhpaK9egOJLnIy4vL1nMl4wnYxFdwc/GeJ9fmY/sqMqS3XbDw8MD9w8PlGU1zPCcouYoxuMRWZpIhzHLGI9GfREaxV5ozM/WNm1DWRSs1/es12vpvHkRGOcch2PB7f09VdX46y1UrINX7ZvP5qL8N12Q+vUUTqa8tRDzDF3XUJcF64d77m5vOez3dF3HKMsYZRmz6YTpKBVj6ST2qYWPzV2HaWvaqqKtK7pGgJMoTolSAWlVlICKhq3Q+STIJizPz3n+8hW3b77CmI5IC4UORGcgThJQnlbn/SGNkTyj33++a0ePj/jE9ORu6j9xn9+FRkEE0QCiAT63igfGmXNoZ6UIsUrGhE4o3v5BuHgoFkVBvZWiMezFpsM1JY0S67VGG5pObKiU1sQar4Qv8UGjiXTEJx+94tOPXuKMJYn9PL4vZq3p2BdbfvO7L/jq9TsxNne63xsdcDgcqGtR3o3jmOl0SlmW1LV4DMZ+XOP2/pF8/Jovv/yCzVZmYh3Sgz6UDT/5+a94/fWYj17d8OrFC5I45quv3/DTX33G5lBifl/wen+p9UXR6TVz/JdFPv/YHjdXXvgEDAqlhB0lqZyWsQXfxXKePusctK2hLGvyLOPFswuUbaj2DVVZcdxtqZuWNM9JRhOatqPtHum84FrbeiBAKaHBT6aMx2MBrPQwix7Yg9YJm2q/2fDV55/x5ZevqZt2yGVCgePjXRQJzTJLM+bLuRSKSSgUh0I7sDOMMdRFxdu3b/nNbz7HWMPNaokC9jvJv7pOGAXGz/JWpVgYqVjz6tmHLM7ORRzJX7C+Gxr+54J9UMF+t2G/21NVTd9IAUeaJsznY8aTEWmaoeIASDN4CTvbd/3EWkPYbmnXPkULFGhfaVlrGU9nfPjJJ3z+y58SJxLvm6YRlfRx5mdN6c9hsNVqfUH/X9VZPK025GQY8NTI8PNe6MQXkVYpdEigrPbeHdKaHubmwpzigJjI0/lupZYkREUJ2hhcLNYZqhmGssNJtdb0OYUjItKRN1RWaB33JvKhvdsZQ2xjtO946iimqUvauqIqCva7A7cPaz77/GvKqu4L4Mh35w7HoyxifPzzcdBYOzy376h2bcMXn3/Gz37+cx7WD77gsaReCOH2YYuOvu4FUpzt+J//w9/wxde3IhUsd9OAHoQbLAhgEFKcp4hU+P77xWMopsO8T590hYI3/I4x4BSdcnSdwlqNchHKgrIiZS+UE2mFN3WLNZbJKCbPEuqqojps2W73xHHC+eUFy+UMgKLdeW67wSLD6EmSkE5GpGnCaJQTRxGn6IrIIhtMJxLtx+OB9f2aL774mrfv7qkbucl7epkLSaYTI9TVitl8zmgsKHuaisx/MK8PHWJB0/es12v2uz1d25KnMrvTNi2b3ZG7h0dR/TuWFEVBEms6T9derVbMFguSNO/PjRT7pi92ZV5JEGwRwTmw3x089cWymI05P1+yWEwZZeKB9CS5JZiou34uCcSSBR2JbUfX9fO6/i6VBNgFG4aI1dkFzhiKw5amOtLUtahhJsH/zfQLScxnpSMmvm7fwWLRz2M/qTDe28CdX1vi50ffhcOK+Xk4LVZplLYi4sUg0yKXQ0AyrTyNKoqwceKp96HjKMlUTwPu4y/9NTXOoWN5HkkErDeEdjgjip1RFJFlOUmccHFxgVmupKt1OFAUBff3D3z+xZd89aWYEYMkgHEsip77w1GAHGsHdklQkwOJr5FI1f/qV79if9jz2WdfcH//4D+f0LYPhwP3D2uSNObi/Iw0jSmLI3/7n3/BZ1++pW6lSxZiVo89fvMSnADwQxGp8BZHaij53k+2VDj//l5S7lTsKxRf4lmocUTKiUl1rIUGr5VYSrQdrTEkacpolHPYbbi/fcvd7TuU0tw8f87ls2fEaS6qh62oBysl9J8syzk7O2PsfQ2Vv37OFzjBz9g5i2mlyNrvdmweN2w3e+q6wVp532F2Kxh7T2cToQinCVmWkKaJVzoWxkFQoOzalqIs2WweeXx8pG07sizrO8Zt17Feb3h3e49SEWVZUJYlxltfnJ2ds1ydMZ1OieJUCjt/EgfRpyFutHXNfrfj/u6OzeMjdVWj44g8T5lOJn6W048ZRArtN1VnOrq2pq0r2qbyKLmsFWtldtGpkthF6CRHRZIsBtNsYyxJmnPz/DllsfeAbk3b1CLu4QFJZ4xcp7qiqSqMaaUICSyB79jxZMLX2T7O4DUf+kd5poV2IozilMOpqBdJATzjSPX3q9jXPN0hVGjNB6YGieyHtkNFHc4kHjBr/V4puaZpGhwRbSwjJShhq2lPkw8sBPFyFKHBWCuSUUzkGR/Wg9m3t/f8h7/5Bf/pJ79gf6j6JoZohmmhVR6P4hUbaUbjEU4pDscSsUNL0Eqz3mz5d//hb3jcHfjyyy/YbkUgTFkB67bHkl/89kvGaUTbNUynC5RW/ORnv+Lzr+9ouqe5XBgyCglZgFv6miAUEN+2537LEg35Ydg7JAYIHdVG/nWdB0bxe5yPp03TUjcNs+mCLI6pjwfqWqwpTGcYz2bMFgtUnHL/8EhRNbTG9V3fOE4EtMrFT7MXmMKvNc8kNKalrSt2j4+8e/2aN19+yW67E0scN3yOkx4ko3HOfD5jPp8znc78nN8QzK1nKgbbl+Jw5M3X7/ji889pmpabZ89YzKbsdgV3dw/s90eatmO73VCWJRrxaxxPxixXS2bTWa+BocJ76WOdAMJBBGe33bBZP7Df7bx1Xkee5cznU87Pl4zHOVEa+6689fuV6UE2rOSMthX/yqZyFEVDXTuiZMR4qnvsJdRM1kle/vzVS2xbooHO2yYppciyHB1mId1QiJpOisTuxI/y7zq+tVgMsxOhm0f/dThRQwGC9X6HWssAZYdHp3yyo4VipMJC6TtVpzeC8nQf6VwqH7BdpMVfMUqkDd61gj6pYYFbBAlMklgQcCDWup9zC22Zpq6xbUMSKfF7KY/UxYGuqtjvdqzXj9zfrznuD14tKiKONWmaCG3neBxoeD77CHNESmuxI4hj4jihKkt+/rOf89Of/YzD4UjbGuIoRmgvlqpqWG/2/O7LN+yLksP+wK9/+zlFI5L1fcIezo7iybkPCZNz8G17Wgjeqn+/p8nr6RH44fiCxCckHo3uB0J9YiX8crmpjOlQKqYzHbvdnvJ4xDoR2bi6uSbLUy/JvhdUD8VoPGY2nzObTU8SG32SdMCgQNiKpHop52mz2bLebGX2MYghuYHfrgGtHd/7+ENevXrBfD4jThIJ+n4+KSRm1jqORcnjes16vaYqK5IkZrZakmUJdVXz9vaBt7f3PDxuMZ0kwMfjkclYkPvJZMxo5CmcIYEP82pOuuSmky5S17Yyh7Tdslk/cjweUc6yWEx5/vySi/M5WRpJUYKnOYT7yAWkrPOcddffqxZo6oayOpK1Dh2n/eC4oMOigIpy6EhsEgL33xhDnKZE8VCoKxXWhH8902FPZuu+S0fwHnO+EHmS7JxULXLvDL2t0JkWUZpgko4X3jrtkoUjlDNh4wsiXQLIOOvQsR2oq/0a8uvbx1QxSB6RJYn3zQxjAmCtEpn2RrreaZL0vq/Hw4H1+pHb2zu+/vo1X79+w34vim1RFJGkUjDsD1uKspRY57vWw6dRfqOT86G9l9Nut+dxs5VNs2sl/iqh8u/3R7S+5yfRL7m7f2C72fKLX/+Ozb7wptXQ13ghAT05eUMDUAVbxeHxoaXkwpU5TXnfP5x/Dr+Xhe/6bUjhiDTeT1bUn+NIEs/aGdpOxKTSWD7zdrNhv98TxzHnFxdc39wwms5oO+u9B0uck3nC+WIhicd8Ln6XoaDy9ixBnMs670XmY93hcORwOHhGi+lnrMLOKWrdMddXl4zy1DMRBBy11uKczMuKJZFIzO/24v1onWMynXiATtF2hv2x4P5hzeNmT5plHI5HmrohSycsV2fMZjOZfYyTPvlz5qlysHXeP7KuOOx2PD7cs318pKlrFI48TVgtFsxmM5IsJ4oVKmwuzjMwusbv903vpSaddmFsdPUBuy9I0gPT5QX5dIXVEacsIQdMZnMWqxVdVdA2sldJp0hmgLuuGdgTnadPEkAf/Y0V9Pf9CLwvR6Cd+nhkn947p4UDHoRyymCNRikRT3LK4jQS/0I32fvMihVRABcDaB/5rjGi1h15pkUUOoydp+vLqwcmjij6io9wHEmepfr80vomwsB6CbG3bVvevbvj5z//JV98+RVaR0wnIy8MpkVZ11rKgyhqOhxpIsr2bSvrICjci+K+YVeUfP1OdCXqtsMSxAAjjlWD2+xIo4jl/IHnzx/Z7Pf8/DdfcKhbb3/wfsE4nHH566Q7dtpM+T1X8luLyPCsJ7lUsLQTXF0B2jc8JKZEPcjmRJejM3TOctwfUKaF+oixjtliyeLiinQ8Epuw2zsR/0GRpKkXqJqQj0aeJSb7oQsdNA+it21LU4gi9P3bt9zf3YvVWF17/9RQKg+Fo1JwfXXBcrkUmm8UeZ0KH/19XLXGW7btjrx985Y3r9/inOPZzRXXV5egFA8Pa8n3jwV10/L27TsO+wOzacJ0PmM6m5OmKc7vd0P1OpTw8noyp3jYbVnf37FZP1KUhXT88ojz83MuL1eMJyOiWPvGfWjGCeTpAqvIGJnNbg1t1VIcO9aPe5rmkc5qXn74ETpNCRVj6Lgaa0nSlJvnL3hcP1A+PNC1rbDr0gRCR7c/NyK42fpCMaiq/13HHygWg3mrHdaxnJm+4Bge7FEe38eQmG9loNb5G9qqkxvEPfk7PIULhaJPoMK8mnOWKLOYJkM1FV1Ty1D1kEUQR2KTEEcxUeyIenTQF5TWG3d6pLIpC0xTk8aKOBLVOLG6cNSdomot1pU4LfMT26rykumy0MP7jP0cT5YJ/SeOY5I0xVi4e3fL+mGNaU1YF6goQuuI1nQcy5o3t4/cPWzEuuNQYKzqA98T1UQ7UI6+2d3pYfMemZe1FDIr+ptJeePh0OjtFef76xGuWSjoA/roEzKrPLooA7Rt23pRFsPhULLNBMleLOacX5wzmkwkCdIJRWM5Vg1RknDz7IbLizNGWUacRAPQYE2/1kIxWpcVZXmgLAqOh4NcQz/LZaxInodCF6UwtuPZ5Tl/8Rd/xuXFGVnmu4kwnFtPl9hs99ze3nHY70mTmJvrS6azqcwQ4Tjsj7x+e8dms2W/PxJpRVXWdG1HFMWMx7kg82lK8OWxfqDfeMqhMS3OSLegOOxZ39/xcHdHeTySxtKVvLq+4OJsRp7HIpvc33T0dA1nrQTwtqPtjARUJYiXsZayalg/7lC7AotidaFIrRPqmr/hrVKC5DqZR+xM58VuYl8gDvOtIVkYCmvr0eHv1qG0IJNDWOurQw+IqeHGYgjy4S8RFMBTb9yAtiu8iAABhj9Bdvz9qhQKUTiTWt6htMzfag/U2IC4K1HtHY9SLhZLRmlKog06UicWKAqXZb0oUdsKdd56CutqJfPAy9UZN8+ecfvulne3t+z3+150Zr8/0rWe+hXmM04+dIgrgX7/8PDI4+OOh4d7TNf1AJ1zIoB1OBxo2pbN/sAvf/07sYspS5rO9sBgMJjvI9mTZeYR3ZNCcQAsh2vxh47Tj/HktfzfWrneUzaOlBe/kj0ofNa2NV5prqOpa+I4YjJdsro4Jx/nKKUwxnA8HimKEoViPp/z/Plz8U1M015kZfCzGyjFXdtQlSXbzYbNZkNZVrSNFHo2FGU4SfoVOCyz+ZTnz2/69+u8b5b1fm7GCF29rmsOhz3HsgAFi4UUrvhYGJRxt7s9RVWjtKZpWk/Lm3lgLxu6bqGQcGEG1w2CWHXJbrdlfXfL48M9bVOTxAlpmrFYzDg/97OOcYry8zfCiOgwpqVrK9q2xnRi+h7uU1C4TjqLh0OBMWuMVST5FBI/n+/Xh/VMmDwbUTSlCNvgZA/2dGsTwGd/Xoc91/DEo+o7cpxaYYSvQ93RU/1OGwPQ5wnWWJQSyyeU5EK9joVfx9IdDLZo/umVUFmVToSi7wE57SwuMr5INESmw9gG17Wyh3q1K61lpET77mIUxSfzzRaDorXBTqXzXsyxzPLmOZ988j1evvqAoqq4e9jy9es33D3sOFQ1+2NBWZV0xvjXiXpAOc9zb+8Vicdw21JVLV98+Ybb+w3Gyn0ozYIIYy1V09Fpy93jnl9//jW36zXrQ0Xn8BZoPap1cgx51zCVPTRp3h/9UP1v/aHgNxT8AUwPvrxSKobf9aqp8miMdVS1WIQ0Tcvj4xZnZ4yUEfDl/ILRdApRjGlqirKkaVu0jpjNZ6xWKw+ep97bdHjH/UhRVXDY7djc3fLwcEd5PPhOV0fTiZemUO5POq0W4kzz/e9/yngyFlDMWYb+jWdeedHF7WbDw90Dx/2R6WTEcrFgsZiTZjnHY8HxcOSwL6iqmrpp2O/3AExmM0bjCXGS9KC5D7aEZpf1laK1hq6p2W033N++43H9SFlVGGPIs4zLyxXX1xeMJ7l4HyoIRvNyef0e38lstsxlt7Sto6076spQVw2HQ8VXX3zOaJSzuLwgiWS2W/n3EVaN2GdB40dI4kS8k/GNB8mZxSara6XpYN9zWPh9xx/sLEpZ4mcLA/9cW5/znOzmobjTgxiEoM+acBPIk4b75DSBGgJXCAa9WESgkfqXsllH3I5o6pKubbziltCGRlnGYjImS2LxjDkpOAOSHEcxrVI0Tc1uv+ew2zJOE2aTMUmak4+nLImwUYpVmiQ/0Fk4Vg1t2wkdQj4wSmmiSObhRuNcZkay1KOWqbxfX/0rLcpTYrUR94O4jecKi/S82ElY/7jTSt+5YAlxGhxOTqr/92l+FfZyecTJ7ylBFwWpDZ5kfrB5yJGfPKdWoHxXSeSLLMYpjwBLoK+bluOxoF2MWM4mLFcLMZ9XkgQYC5vtnqpqub6+5o++/z0W84mICwVPG+M8ci7Jy2F/YL/bUVcVbVN7KpIYOk/GObEOyKfya00Ci1bwZz/6AT/44+97epXySKXpn784lrx5d8vbt7dYY7i4OOP5sxtmsykKvPm8BJ40SXqBEpQk9Vmek+e5NzJ/qowVhqqNGQRMuqZifX/H3bt3PK7XNHXJZJKzXEw5O1+K8msW9ypvuCBk4/rubtcZ6tpTB4zFWNCx+KWpKCIfa5YqpTWOtpVZNHm/Gt0FdUc8tavujVjTLCVOTobO3TC3FT7TYI3z3SsW8Z6UnNwvjlAU4WOT/CRsHOqkonmCnYXuFwjAEgC08Merrao+9tHHvpMTLvevDUqDkswaFFjLfDbm6mzBKI2JrBNREz+HKM8RQ+owWUZZHDke12y3O7RSTCYi0f3s+ZSb58/5+HsFX375Bb/+1a+5vbtn/biR+QWFBwaGuXMdRdKhj+Oe4mOdk/luK2hlFEfEvkUYJQkoRdN12PC3lZ911vVxrY9oYZ9B4sxwnsN18Y8bro6/ZrIunT93p9nY6aVRIYSGH6jTn8uajzxdTiFy8jqAjcbSdC2tMWQuwjiDsYZ8lDGbL0gzKQJNU9HWDYe9zEAlqXhePn/+Uub7tOqBFxsYCMb256+uKmE5PDwI7dSJuEfXDbEr7JfWObCGjz98ydXVCgF2pWBybYe1rU8MOqpK6KB1U5NlKdPplMlkCtALMchpk/cRVKXzUc5svmA8mRAnqS+y8D8PdK/BZ9QYQdn32y23796wfVzTNjWj0YjpLCaJY2aLBYvlUpgYgcFkA8Dc0jUVXVNh2trT6hWoGK1iUDFoh4o1UeJojTB+puWRVGuccb0Fi/LJKcoN95kO9wrYzoCSGcXIFySg+xj4FLD4rhx+ploLYyuKUyI/eyjhxWGt7+iZwXM25DGoCKeCB93JDRSwZTR4ARx8B0VHqVc0T73qY9QzpQLt3vrZRW1aXNdgbEfkLEkaM84zuT4qEsZCYKopyTfjOCZOYqoS1us1xfHIeCSjLcZCnGYYp4hMR56nZHlGliU0XsCtrsU3NdIRSZz0zzmZTshHOc6JtoLcc4h3nb8PtRaP22H2WHLmXdny2Ve3HKqS1npvZfuUWql87AuAnFKuD2ffjF4nhwpZNLLf/IErLnuR8+/N+XsjsINDp0/yA9FoEG0J52Re/nAsmYwmzGcZ89WKbDJFxwlWObqm43g4Yq0jyzOev3rFYnU2FIrQFzPWCmBeFkcO2wfW9/fsN2tMZ5hMxsRxio60xLoQx/t4DsYarq+v+dM//eOePWGMQSkp4IwxVGXFbrtj8/hIWZRkacbzZzeMp2NRf/exM4kj0jTuwS3TCciwXC0Zz6YndYec64Fif8J8s556un7g4e6W3XYrs9FRTJbFnK9WXFyeMfYMNE4KRXBem8Viu0osgeqarmkxraHtRKQmShIWqxXjiUXHCcXxQJwljEdjkixD61TIZz53a2sZX7Cm67uKUTzEbOuCcM4wWiT53rcHu28tFnWc9EiDnLLTokTJnCK+qPT0Ah2F4uxkoQY6lj/x7wPsfSKiI++JGHnvEnUS3PWw6HJLNp744kE2E0zLfDplOZuQ6ohIQaSiXga+f+teAS1OEqyxFMdS1PvqNzgHrQ1G146268izDKcj6s72BuUWRRRLAh4novI5mU7JMpEtDwhxkqSsViueP38BCGIfxTGT2Yw088VkUPA8QU+GuZUBBRra8D4iPwGUTvFxObF9EBqW5ckhVNQQoEKCxsn1AL+54lBY8XZDSfKEImKwVQjFUet9+LIsY76YMRrlkng0UgQfjxW3d2tG4zF//uc/4sMPPyBJRRxBaZFzNlbUbJumYfPoE6ayIk2EfpKPxygsoyxjPp3IBqIVRgdUVGFx3Fxe8I/+6scsFzOfbIPzN0fbdhyPBW/f3XJ794COIl6+esGL5yKDD9bbWCC0QB2RZSl5llEUNUkSc362ZLkQP7GARMo78GfMSTdPI+Sqw37Pm6+/5O7tG9qmIUkiZudnTKdjppOcPE9IElnnvZiNcV750GGNo6k7yrKiLGvpqjqHjmLSUUIS54wmM5bZmDjJsA7qqqJuqh6QcXguvHNerUzQrziKcJHIoquTtRjWjQAEcu8Jvfc7SM3yCcJpXArFXV/UndxFw+13ArD02M3wOxAKj9PicGBOBAr7adE4oP0D5d95uyHrQNmWi8Wc8/lETJSVF71RkrAInuTfnRLGhHOO3X7Pr371a+5u72XwXcekudCEQPwAg3hZHxd8sRx86kZ5zmQyIc9zoa6khiRJmM2mjPIR+/2Br9+8Zf24wRhDkmYCogWvPEU/K6z77HJQkwsIV4hH4ZyEc94ffVdx+FmIj09mpt5D708jpQvX7P090icF4W/tE+iu7WgboWyHIlVpTZ4nxIlYALW1qGS3Vc12t6ftLOfnl/zRn/wJi9VCrIKcxfiY3nsiGlGk2+8PPD6u2W0ecc4JU8bTPbtO/H45Sfis6RjlCX/2wz9hPMqlK+csysqaMZ2haVtRd97vqeuayXjMcrkU0CBOhObfNL6romSGPI3RsWY8znn18iWLxZwklnQhgJjOhWJx+Nu0LWVRcNhteff2LY/rR4nXozF5LiILWZYymc5I0tx3CmW/w1rw9NOuKWnrQhhExoJKiNIROpmg4hFJlJIrzdQI3bdrW6q6xupI8ocoGbopdihIwPWFhnwGb+eAzH0nsdD/rQ33z3evWtR+zlTrSM6/ikHH9KI2EWidoKIThWYnc8syb6172wCtAkjrj9BdZGgoaK3RkZie6ygRUZygdIun3lnj6aZdD7BaKzYD00nK2Xwmc4gBuFIDayzkpTrWxNMYh+L27pG//emvpFvunFc2r/quZFGWVLV4ZpdVTWeEDRFFkd+DtTDF4qS/P7tOVHSn44zzszNmszHtbzuqsiKKBQTRIaZHmtY4tseSum1pbVChDbEFQr4wdFJ+XzB6esgu9F6TQL8HVr7/O33+rd77PkTvgcEy0iACZo3323VAaww60kwWC/LJFOX3GWetF74qsM5xdXHBhx99SJ5nBLpxCMLWGJq64rjfst2s2W8eKIsCHSfMFkuyPKcoKsnNnYyWBbp9aAIoBT/+8Q+5uFgClfy8ExC9KisO+x277Y6qrEjTjOvrG1aLBUmS9sCWxCvHaJRxcb4iz2J2+w6tFB9++JLlanFyllz/2n2R6Fy/bsvjgfX9A48Pt1RlRZwmLPIMZy1JDMvFnFGePcmZnN/zrO2wbUXXNF43oqFtWjrjiJRGpxOydEw6mhMnIx8rEYZJV1GWxXCfxbK3tm3Hfn1PUxQCeCRh3lb5e3NoPITxFuVBMvUHBL2+vVhMfOsSPMqsTwqKoesnyX7oBoYZvpC8h6xzqKb7YuTkxpd5R18keoQ8dLqU8omsUv7kKBw5UZYLClm16K7i8uyM+XgyJL3wpGtGKFbRJGnO6vzSo2jw+e8+4+3bO3bHks5alBakSkcxKorZ7o9UtcgnE+lejSlJU6nuo4jODFSc1Ilwy2Qy5oMPP2A0HvOw3tA0LVmW9YI4gXvvvPiI7QtDT+kJt5o7Gazt7/b+PgzA+snPfMGoQPUm1U8Xg/N333Cunh7KFweSGA1dS+2DTEjUekVRa4ljzWw+YzodE8VyTlxnqVvD7d0D682W5XLBBx+8Ih+lkjxaK/LqnaXtOsqi4O7ujseHB7RyLOczprOpSAzjaNsa9gdRYm07HPjOpCSisXM8v7nkxYsbjGnFO06Jf2FRlOx2ew7HI1VZc7ZccnV9zfX1JVme4QDTth7pDImczHPleUaeJcxnUz7+6AOW8ymRDsic7ZO40BnGOWzX8HB7y+e/+y2b9Zo8z7zxtijlKqzYvvQBSZhPNqgBW4ftLFVZs9sfORwKQTi1Js0yRvmUbDInn85IRxPSbEyS5CgdkeYj3HYj8z5WvP46p7CdBO2mqrBeCKVfRqGDiOuXS6h7Ql4Qx9/BYlHHKDUAVBIqvAqgR8f7+6NHhl2o6UJ/8b3fDUUmfUEocTTygfnEbsMXnfok+XHq5MUE7cA6RWRrLs6WzMc5sTrplviZcYkZYXRAEqDpbMbLly97O4u7hwdu7x4p6gaFJs1ixvmIKJKuSuyTH+s3yeDTNJ5MSLwFg3QMQqcxIUkyJhOYTqaUZU3TtsRpKkJlOpLONcoDQm0/L/w+5f73Ypx97Aon/71/+wuhUH1SEa7RcN3eS5ZO/+GG7/RUJjvIrzun6Ix0F4L3V0guhX6uJVZYS9sadvsj2+0OgA8+/IBnz27QSnsg0fiZ0rqnCdd1xXa353G9oa1rJpMJq9WKPBvxcL+hLGqK4PmrFcoKTd1aw9XlJR9+8BK8mqrTA3U82AAVRQnOcX5+JhSx8QQdyXt2ne3XahRFpGkqiXIS8+zmho8++oAsS/v5vUCZleslnVHbdrRtQ3k88vjwwOZxTV2WzGdTZjOh8VkvzJZlGVk+EpVWr0htjcW1DbYpsPWBpjzQNiXGWFSck+ZT0vEZUbYgymdEyRi0n/s0HV1dUB13NHWD0ooko+98m671wHLbizWFznHIT8K1tD6RVMr2Xavv2hGlE/+V8jkH2M53XwObS0W+sBvsgAYgKxyur3tCYRg8gPucrlekTwbG2EluFzo11lqi0Gm3Q7cjcTXXF3POFzMihc8vB6ZZ/z6gBzgnkwmf/tH3cZHmt7/7grvbBzabLV1nyEc5sbZUdUfVtJRV7VXsFTrSvqDVPR3VOotp/HxXJ533LB/x4uULZrMpb28faP04itLDPgrSdKgaYSKEWDdkwQP4HzpC/d/wjVxNPYl/vyep/zvy/B5KG9Jf/x0PMA49GPDfU1oJ8G9kTjTSmiSKmEwnjGczdBILkGk6Wm+xUxYlcZryvU8/5fzyUopJ6EUHTddSHg8cdlsOu0fK4og1htlsSj6Zkec5Tik6I8yJzsdfdwrRuo7ZbMaPfvQngJ8xNp2naB457I40TU0UxVxdXbNanQtVVQU9AcnPDX7cRGsmo5wsS7C24/Ligj/78z8lipRYwLiBpHsqthi6o/vtjvXdLfvtDuMsk9mc6XxOFGmausKZiiwPqv4yx62MjChZW4sdUHWgKkuasqTtLA5NnE2ZzJfk00vf2BoTJWnvHdkZQ3N8pDgWvYCNtgnKWfb7A/vNBmUNKo6JlYynoMJMsXryWQJbCK2I/qs6i1HqE6WTgKEDIuUpnnHkg0CQMg54/GkVGwRtTmehToo55QvFKASW6L2A0mdRIhUbXiOKUeSkccvIZjy/vGSap0+RfP9e5B7r0zB8OkU2GnN18wylIrLRhNu7B3b7A1XT+OHbisY4docjVd3Ihuor8SiW5NKaQCG1vQqTsdB1UgC2XUdZNTJMbSyq6Whq8XGMglLrkN342cST+ro/Y/4fvkv0BE16P3i+jzSdFOiOYYPE4ecC3PAc4fz2AT+cQ9V3mQICpVWgK4owxHQyZj4XrrdzTmZtjGV/rHn37oFjUXF29ZzZdALWiQpT6+WWm5b9fs/9/QO77YYsTbi+umIxnwjNE0kAnBWhifVmx7Gs8a4CQztdK1arBZPRiLoSm5O2M5RlJT5nfgbn+uaaxXLJYrEgjqNeKMf4eZ+2bXpRiNCBm4xzPvjgOa9evSDPU5FE9gi/bFaynp01tFXJ+u4dX33+OeXxwNX1FZdXV4zHOda2lFUhQcU6rBNhBula6H5Au2069vsj2+1ekNE4ZrJYMZ3NGE0mpNkIHQmv3nSGTndEkVwL7cWW6rpGqQbnpKvRtS1VcaQ9SZ76qsedGMf7eycUilorYi0iQd+1Q8fJIAOvtPdQjAYA67Tjd3JuwKvxBQS1r12GG1L16OoJE0MNhaLui0X/c3+++w5hH/6E2TBSMZerJaM0RilRZNWnRa4/AlhnPTCVpikvXrwgjmIur6748ouv+Oq1ePeF2dXOQNN1KK081VRimtCzpNirm5q6UXJfdEIVXz88orxYUlFWFGUpSHoU9WrAPYMBeuqi9V1s2yO2/gxbkXrv9xwfq8KZfD/0hVlGF9Yx8k0BVN3wwP4qvHeZQmHu34vEctUneNYJ0ySISgXacBxHvgA23k9VZn0et3t2+4I0H/Hyww/J8lFPOa2bWrr+VUlZFhTHI8XxSN00ZFnOs5tnrFZLRqMJXdvy5s099w+PVHXbJ5NKga/kefn8htVyjvEjGZ33zuq6TpSqrWM6nTCbTpnP5+R5DuB9U/0sZF/8KT9v7ZhNp/zgB3/ExcU5oQMe5uatM/5r8RUry5LjfsfuccNhfwAc5+fnrFYrsiyjaSqOhawz8SUOku8icNI1NV1Z0BVbunJH21QorUlGM7LZGfn0nCidgx5DnEOUopQAtjgnDBUdcdw/SpfU2F6hsG0qjB9fOGXRhPlKAWoHQb2IwZbhu9hZTPOpX0AhT8J/1sgXC6eesfIH5XxeIyBqZ1ps1/bd2hDXoigWWmsce1As7vNDdVp4wvAeAoCmLEpbtIv7ef0JmpvLc2ajhMgzKMJNGwr9ADGFr42xpEnEh69ekiQ5UfIZTWc47I/UTUfjgmewoWnEDiqONHiPWh3iP66nQ4a5Lq0VRVnxm999znaz4ViUvpMt7LVAqXdOWFKu67ydhFdEP8nt+mjn3isYEaD+/YIRf87+l6zI0/U7sDXCyNfQCAhMhciDla0fF1AK4jhiOh2xWMxIgoKzE1bEcb/n4eGRqmqYLS/54KMPSdKUQAl1Vua6i/2Ww34n9EhrxPs1Fx/KOElB+Y6ZE50KY4wPbycZu3PcPLvi+vqcztR0dU1VVRx911ihWa3OWK3OmE0nnvap/OfzlOmQZjspYOuqwnaGJIn4y7/8MTfPbgjdur4TxxArJHcq2T4+sr6/p6kr8jxntVqxmC+I0gTTNALcNW1fB/Uq8k5Ed7rmKKNVxy1VJWI+cTpiOr9kdnZNPp6BTlB4cc84QUeDeKdWhs6CbUqJa9JWpD4e6JoGkHl75Ztv4fMI6OyBCjUwJIeJx7/7+NZiMUqSp3ODWqMisacI34+i4Wvtk5vwxqw1MhSt8EVjmF10IRPysz0+AfNZwBDAwiIPH1T1j3eIsmOkNGjD2WzKs4slo0SjGZKS94uoUMB2XSso6OMjxeEosrMvXvDhRx/jgLKs2R/2vL2944uv33AoSimUFMRJIiIFHnVvjXDeo0jop3KTVDgnxWHbetNL04GFKI48HzvczCG58XOJ4X26gQ7o4W3e+zRD0PWLWjqK711I32WU8/c+bj9Ag5J09ViUSFSfFP84i3ae7qbAqKFwVIi58mIhyqYOR9dJQKmbjv2+5HG7p26EmhbFEU3b0LYSSJumZb/dslmvqeuG2WTC1fUFC08/CX4fXScJ1+5w5N3tA1UjFhwiciMbmlYwykcoJVTMqhJUvqrEHmK+mDObzcnHQo3SkSJICTvn6Jqaqiyp60pkl4ua/X5P17UsFjO+972PWC3ngOuR6MD/DoI2xfHI+v6e9f2d0Bs+/ojV+QVZnmOsoSz2Yn/RdaJSZa2ndzms1WKIW9Y8Pm55WG9pW8N8teTq+orF2ZLReIyOYpzzMxS+Q4GKSXPrkfKENBvRtK1cWx/Am6ambmqC7UyPOoa15wtyTtR4lVYkfi4k88nmd+mIk2wAvd77E4VA3QNbur9vHfhZ1qAEKOhluI/7e9YNc2ZP/F+D2XXfgexzKLmtTxIxAGdaJlnKxWJMFuHFcDyFRKmTeCfVZih0jC8K9vsD9/cP5FnKP/pHf8kf7Q/c3t5zOEon7O3bWz+7Jsi6c86DDgLgdcbgqtonQ6YHNfpunPN2NKheyKuP385hGboHp/MS/eHCbIt03YNnr/NbRkgdlN87vrnDhfjmQh42gGI92Cb/eb9JEr6QzyYqzKLCiJ8Z7LynJb7DLt0I5wsP20rxXJU1u92eY1GyurxhuVzinOvVaYtCrEuK45Hj8UjXtaRpytXVFcvlGdPpXPYII4rZ9/cPbHd7kZ1SsvfZkIAoxdnZiiyPxfIBEX6pG1H4TOKE+XzGdDZjPJ6QJsLmaNqGtmt7RbzOq062Xctms6MoS25urvn444+IY98RQgA5mZ00/Wsd9jt2mw3H3ZauqcmzlPliyWIhIhdhHbujqO5qHXmgoQWrcKahKQuK7YbmuMF2FXGcMpmdMVpekU5WRMkISyyMZdOiUMSx9/lTEUSiTpu2zTDC4QzKKrrGFzVumFscQB5HKHa0EiqqUiICJs2H72BnMcl6cD7yjDAdRURBUTnkZGoYU7G+m0wHzlmU1X3Xxznn8wtAWelq2MjbUoQ8Rpg3vUBaX/QMnaMAwPhMhUhFTCPD5XJGpi1h4v4EN6IvEv3eb52lazvKpuV4rOis4+LiiuXqnKZu2Gy33N3ds14/0jRyf0dxxHQyJY4j6sbPhluD6SwgzKWgrGscbPcHAW/K0ncbVV9Y9+crNAa89oTxWgynVMb+/Z/GqR4uG45vAyxOQ+DTh6mnX/exU6i8MrbgWWUn70lraSZ0rYw8pAomWcrZ2ZLxZCR+5oDrWspjKTnO45bOOs69dVg/g90Z6uOe/X5HUx6w1pJmKVk+Iu3p9Z5N5/fQqiwpjwVt58VtCHenNAFuri8Z5VlPO6+qChwsvIXGZOo9uv1e65w0hYLSdGBFdE3Dfnfg7u6eqq756KMP+PFf/PmJ+rHvRjq8VkRHUxbsdjv2j48ihKMUi9WKs/ML8tmcSEcizEXjmxr+M9gOawATbEJKmnJPVRQ0dQkqZrS4ZHnxjPH8SuZrrcU2MrebqYgoQe7NKEI7yVfiLKczTQ9qOa0FZPExTmst9oB+fpsAanuKvfjTxyf30rfDEN9aLKaZDJ8PVFMfTKLQ9Qu00xO0yFeuQeWtF+jwAQc71LBDPWhxLlgmBAlu7RMC3RdCJ/UjENAG0M6xmIxYTkckWiFTYqcfXvW/EBDtrjWUVc3Dw5q3r99w2O1JspQXz5/z8tUrbp6PaduO5eotDkXbGrTWdNYxGo9QSrPd7SmrmrpuUByJIi1jF71XkLz2YJyNR9GCetYws2SxTxZzT0N1J8j4UDZK4PTD0CLa8PsRp/C90yKQE9BKeOenD37a3dAegerpOs49LSD9b0iBJgbLSoWkoqOqGqqq41hUFEVNZ6xXmFKS1FQlRVlyPOwpDgfSOOb66oKzsxWT6aRv4UMo5oSq+vDwyMNmhwlqWSebhrWyyRtjwHZexEUk4sfjsRiT5zlRLMh0vz69EmFxLDgcDrRNTVM3PKy3vHt7S9s0fPDBC54/uyZJYoztwCpfgInJ9WG/57CXz9J1LZPJlOubK+aLhRi2K41tg2JX13dtnAudUYUxHYdDwWaz5XgsUSrm4tklN8+fMVvMSdKkpyRY68D4osV6gMYBfiYlzUdMnAgWKGdpO0XXNt8oUIb7yfqugailgkJrJ7M8o4wkzb6TxWIUx54dofuZaTGuj3rK+VDkCY00lIumlTVg6MAYTmnkfQFIuKcCqntC6+rrPL8p9hWjO0HhxdtUWcc0T1lMRmJODX7O+5uecCGREyqeWLY83D/wi1/+kjRJ+Iu//As+/fQTXrx8xcP9A7/+zW+5v1+jlCJLM5I4kaLDmN4qQxIB8wQZD68b5tW1Hjo1ibeqsR6oQGmfPAV7kMFHti/mejo3fYGClvlfxxC7Ttdtn2b5BAGG8xe6s3269KRL/A3ozBerjs44jAvzeSIYZYygzmkSk2Zpn7iK8qzMbFdV06Pd114hu+tamqZmv9+x2QpA2TQNWZZxfn7BYrlkPp+TphmgqZuasihYr9e8efOOoih6wZmQa1pElGU8GaMUQrk3ImTjgPF4wnzui8TMJ2cKXyC2/ftt28b/adntD7y7vaNuGl69eslqufBrV3mfWHm86Vrauma3feTxcUNZHEm0YjqbsVqd+bn8EVorKQqd6+2DOt3Q1BWRlnLDthXH7SPH7QZsy3gyZ352yWR5QTSaoaMM55R0adoOYyBKcrTyCsA+L4mTlCTLBTRzxgtX0NtuOGf7ax+S5KD0fdpZlM8raPt3sVgM9+7Q4VLh5uk7TqghN5HHaqyzMtdpEwEXsqwHfALIo0/Gk/r449dtmDd0Sp0UjOFmHmAgoP/5JFEsxhkJlf993d/v/efB9eBJZwxlVXG33vPFV2/46u6ROIr49JOP+fjjC4zpePv2LT/7+S/53WdfQVEwn885OzunbWq++Oo1Td3StYY2EXu2oQoLIIOfpVMDyy729kTBSsY6i+v8fePsU3uvIdL110OFxOxUmp6hUHzSITy9mOr9CPb+oU5DX38vq1DqO3mvkutJ3iTnUWxDYg2L2YjVakHqPZhN19FUFY8Pa9YPGw5FRetECCvkdaZtKI8F1e6Rtm2I05jJbEE+nom4oy9gjDHQSXe3rSu2jxv2+yOm84Uars/mI62YeFqp7aTxkmcj8nnOaDIhy3IiHay/Qhy3fSPAdJ23JBI7n7dv73n99RsUij//8Q9ZLKcnTRpRn2/blqYU//X9ZsPhcMC0DflkzPnlFcvzc9Isl0LNWmzrQcG6BtsS6URsy53DOfGTrMujp9k3RPmMs4sbZtcfMRrPQSU40/rOaUVdtzASUUwdJScXUbr4No4lDkZybXQUOok+JwjWgZzOHzuUTkjiCKJAUf0G6vqN41uLxTjNQAckXYugzQk6Lm9cNmXrC4mgTmqdw3kEUhICS5C/DmjQsOv3WLDcXDg0Dud8R+wkeXIuLHQ5xJEQ5uMRozTpaZGc/vc0W9MKZ5VPViQ5r+uW7X6PeWypS1FZnc0WVHUtyoBNw3g8Yumg9eawh+ORsq5p/AB113Z9Ao6nMYhCoQYVETnAW4doj16GAIs7WdTfoKD6RKpH7voz+PTz8eTHT5Ck93/q1aj7J1HRkFAFXD7Cyjxev6ni39QADMislmy4Winm0zHTyViKY2coi4qiqGhbS1U3VE0jM4Vx5Iu+lu1mw/39A01Ts5jPefHiGavVQvwydeRRN4ssK+mOlEXJ3d0Dx2P5BHgIW00QXHLWEeuYNMsZTRJyL7IghYHug6x0OWxPp9rvdxwPB+qq4ngsef1WaGBZlnJzfcV0OpbhZJ/nisrgnsfHR/bbDV1Tk2YpFxcXnF9eMp5M+s78UNCGWS1fsONnNtuW/aFkfzgAcH55wfnlhQyAjzIPzvj7jDADJUFXBDA8hcMKNSHQ+JT3U9JeMr4vLtwwR+EXmojgeOXXoJqX5zkoKT6/izTUQLdyHlF0XolWKe+deJIEnQI9QQb8yZ8TS4QewVUKZaXwVj3I4+9/8RmnR5k5iXvh8AIgsXIsJyNmo5w4itDO9TTUfj5dhft7sG/p2lYoO8eDSIY7x7u375hOZpR1zdu377i/fwDg/PyCNMup64r7+3sOh+MJcEUvChN5o3mngndYgJCszD8oGS9wKO8lqMQSxnfwQ2EWksqwwYeYdrp/ScEY4ubvx0D7uvA0CJ6klvrk+wP1OhSPw2+EBCp0A1BetMoDfpGG8ShjNMqkgLaWpm4oypK2MbSdpapbak93B0dRFux2Wx7u7yjLkiRJuLi44OLikvli0QNAbdPSNAVVWXI8Fjzc33N/f0fTCJ0UAnAnwGuURIzyDJG7l3iSZTnjyZjpZEqWj3rv4bAujRE1ZUlqKupaPOaKouLt2ztu7x+Ik4Tnz27IklQK07aj7TrqpqIqjhQHmT/a7TY465hMJiyX0k0cT6biwYjr/WCFWibgmDGGui5xrgNr6KqCqjgSxQmz+RnzswvG8zN0kmHRvcKqaRqZ8aw7iGpAZmaH9WLpvZ59YaqU0FFDChBmsuRDiaeftpbge6aVwmklzlBPOvXfncM6i+3Enqelo7co87oRkY9zUd9tVP78BvYSsg857xfn8Iwl1xeZ4d5zzvVK9NaaXhDH9kBZeKwcQ1oo12I+iliM4xMK6skHCTHECVAq60psX756+8BnX7/lzcOOPE2Yr87QWlFVFftDIerXOiLPR1xeXjCZzPjVr39FXYldhOo6oq4TJp236VBaLCAiIPgXd60wg5IkQcei/NnbEChzst+fzPmeJl/Qn6tTFW1OPur7BeMQxv5LFuc3i8Xwt5LFIDHYj5tprehaUctUQBIrVospo8lIuoDW0DYt24c193drDkUlObB3q2nqCtqauiwoj0eUMzIyM5+T5SN0nPUFtDUGQfuFnVMdDtzfr9kfClHKRvUFY4D1gm1XFEWMRiPyfEyaZj3l1KfVwGBFFDxU26qmOB7ZbnY83D/w5s09j5sNZ+eXfPTRB+hIGGqBbtpWIpiz3zxy2B9o64Y4TTi7uuLi6orJbI7ytiD9jHjTUBUFdVURqw6rNV0rVoOmq2iqkqY80lnFdHXN6sX3WazOIZmiPE05CNuZtqE87DF1JXt9nEjnNxR3Cr8m8bmlgBeiQaF6/ZhwUgLYCIooTYW6n6Qn+++3F4x/kIYaNtN+9Z4MfLuw2By+G+ir13Bj9Apk9N8fFmzY9U8LUL+4TwOIeooch0IzIDHOyeY9HaekcdCePLkb+psvBDx5L9YrXEVaMRpl5FlGo/BdqzWPm61QiUqhMozHI6yOuFuLCfOxKKgrGS61VmHwnPYoIo4VSZqQJKL6Zcxg/m6d9d6B0t0J4ivW0xCfFIycBpYBde+zJffkNJ3W3k8CydA/cv0JUe6EktoH++HQSsncW0D8nBTq7slruZ5+F2nFbDomSYRi1FQV+8ORpm5xKuoLmvA5RKq44VgUOBwvXjzn+fPnzKZjoshThPogKq8VpOU3O6EHl3UzrCd30tFG6BRoTZRETEdjslwUcKNA5/OfaTAnFaBgv9+x38nAdtM0bLdH1o9bDseK2WzOYrEAJGiKb6f1Be89ZVGSJglXlxcsz5aMxxOSLB+6HU6Sp4Dim5A0G0tdiT/UwZvDjicjzi8umC/mZKNRPxPxtLsQilxRM2yahqqqfaFsUXEsKot1Ddb0HV/jA3R/T/n/OBwYhdVyb+iuQ8eKOE6Ikow4yciyUW9g/106lLf4CcvNWdOfm8bxJD7hHIFVAfTXtmdG4B8nv45F2A9K+3vISgIlj5PCdEiQwKhhgw+qxfjH5pFiMUkZZ5Hcn97CJ9BQpZg6oXg5Kc46Iwm7jiLyUc5hf+Crr18DYmHx+vUb9ocj8+WKy6trlNb85je/oW6kqIjjGEJh6m1upNvqAQePthtrwfh5FScsitbPUMQJ6Mj1CVT4vdM/4GNRuO1PDufFXcJ5/T1XERW8MfpkS/HE95IAKQ1J6clWMUTa8PqhmPQ/0cqRJDGLxYzxOEd5BkNRlByPR0DjVNTbXCRJKt5rZcHjek1VliwXC66uZF56NBoTRTIvXVeicNc0jZ/lbjkcjux2R/HE8omPPel2JklMPpJOfxyLiMh4LAyKJMQ7rfo92XpxnbquKIojRSEec1UlAlq39w8UZc3V9ZLlcu5HBCSBqqqKw2HHbvPIcb/DmI40TZnPl6zOzhhP5qR5jlIe3Tedn7tuqauatpF/Wy0qrW24zyyMJnPm8xnz1YpkNMNFiRdekYLOtK33QzQ0TUXTlbK+dIRLO5SO6NqGrmkwpsV6Sm6kIxzWCznEfs7eq1WbDtu14IywZ04KgkEz4TtYLaogVASSQ1lsSCusCAgGtkJ0Ir7lnKfz2WCK6CcpAADCSUlEQVR1YWQtusCaCtS3aPCmfe8IibzEUdmj4bQAkv9ETsCd80nCLNVDLnKSGzr/hKETZIyh9hRsh3Td287StCVfvrllt9tzf38vOYeVNfHpp99jtVrxs5/9iru7Bzoj9OqgPaG1aFPEXsQxMOmSxPkuYtWDSNZIcah9Pjd0V6Ux8UTIK+R3JzHraVMxxPP3CsXTgvG/sFjsI14A+dXwPELTFHAvjB2Fc6qBLI6ZT0fEUSz5Rtuy2+y4fXfLoWqxBH9c0WmoiiNOObq6IY1jJvMV0+kMnY/kXlUSizBDBA86CsXxwPrxkWPZ0DkwBIDCgwIKz+xQpGlOksSkaYYI03HSMXdDN9GDYsXxyG4jdPnd/sD2cct2d6DrLOcXZ4ynEz8iYeialvKwZ7d55LDb01QyP31xfcny/ILpcilzmUoNabmxWE9VPR4OdFWNTr1Vm0bmstuKtmlRccbZ5Uuunr0knl6g0D1N1rpW6iafzzZNTVsUJH4UxjFGKS3zwl3X5xISy4TKq6NosFdiuMeD5p2OYuLxhGw0hsBqO6nP/q7jDwjchMT6ZFG6QHkbNiznwgLzdASfBIfWS+ieDcWN37hPZneCCuopvfV0oZ8yAYZQIQsjjWCWxSShsRd49yGBinpNT0EacQjFzpGkCdPplLIs2W2l9b07HKmaVhLvKOby8oLnL17y5vaed3dr9vu9KFICWZYyGo/9BikDo1kmEuEoLwJh6h5RDUFIKZlpTDvTJ99BUv50jics/uHchdUJT0zDhJfaF4qBQiL5r+oD/nAdw7MTIvjJYYnws599QQjOO59pvIUCoZNsyVIxp8c56qpmvz9SFqVQNNIUreV8B3pqkIwfjUbc3FxzfXVFmiYo7Yb5yj75HhD1tu24f3jk7e2aujE+QfXKhX5tRpGWQl1HpFlOmqVCqe6LT/+8fv6mrmuqomC/27HbbSmLwqNRxqPvDda0jMdi0Ouco+3ks9SVBCJnHavViotLKfCEluKpouIJIqicp6s1TU1VN9iuodUSaOuqxilYna+4vL5iOp/1/o0SDAczWOl6yFyA0HkbqrKirmqKomA6O5KkiRSTncwsxv65rOmGc3oiZtMvM59sWduhSUiShDgbkaSByvbdS6ASb1p7Sv2WjdT5RFviUECIUU+ppKeJUUDzQjHVR5+TIvDpvTcoeBo33KchNwoCExrIk4jlZESeaOlSMohjyct62yIZtuhV4EKxkKUpy+WS46Hg7e0ddWsZTabUxpHkI54/f8HLV6/43Wef8fbtW7ab7ZBcKMjHYyIvJy9edUFlTQRgutp6amPrY54UNzLer4h94d0XiCeU+wD+4cC9z/5zDusTxdPCL3zuIb7LBj50CgNAdgKZ9Y8fyvpTtooU+MNaAHyBZokjGOcJy4VYJSkFVVVw2B8oq4rRaCIFcusp5kksxVJdEccxz5495+Lykuls7ilsvlCsa47HI6UXBhL6o6Iqa46HUuarvgEmQp7nLBdz8iwnSSOSJCXNc5HxD3OshNgRunoyg/2wXvtZ7oqyqtluDzw87qjbjulE5hubRvapuirYbbdsNo9UVUmepaKsulwxnc2JkszbL3hqvB8/Ed/ImrKses/IJI37vTlKUtLxWDwfp1PSfIxVkV++Xc9yEAExL0aDvJ+uNSgdyf6rI7q2palLmqqSOSGtsVEsSbwK8zueWNl22M6g4xacJYoUKk6JEu+Z24tCfHsC9ffxyLKs/zoUjMN/T/52zhdP9MVNiCPyDS8E4otPHdRP/Z9Ta6ChxBteJAh4yS17qo4PkbIkUcTVfMQkhciFrlIIivRq70AfE5I4YjaZ8Pwqpm1q3qyP3D088sWXb3h+fcFssSJJMorjnsvzc/7qr/6Cn//853z11VfUjayFABBFkSaOE9JUvFF7Rp0ShkjU+k5bOwjghZEFHQX13yE+PgHF3HC2gyjXSRn45Ph9BeMQ8v5LC8bhHPX7j5O8SSEdl6gvFuXaKwVJEpGlCfgmR3U4cvvuls3mQDadYZToHiitfQ5TEkWaLM9ZLJek44mwDHyO62yglYZ4L0Vd14ov7cN6y75sT1Snn3LHtBadkjROejGi4RQM5zfk201ds9tuub+7Z/e4papK6sZQlDVNLV7Cs9kUHalec6AqC3abDfvdHqUUq6tLVmfnjGfhs4Qd3cO93gajriqO+z3lYY+ylkRrXGIxrbeF6TridMTy+jmrm4+Js7EwJxzgOqxpMF2D9cCY83oApizZre+x1pLPZkRxgrPCzHOtxNRWCTW3a5uwok7uNefBb0OnYJSNyCciVmThyTn7tuPbi0UdMXS38B2wgAB7CpYN3iUSPEKHJxSOp5twf5MzSBMHjq3uC8WniMqwDDwC8/QciGBMGpGlKU9Ms9WwuPpkG1AuUPMi4jhlNBrRzucUZc2xqKSzcyg4eH+cOE7IpzMaY7hfr3n77p2ovSnx4ZnOZpyfn+NQorKZJGSZtNqruvYdpKFQNL4z1LYdKEllpIWu++TJOvskYX0CdQ8nsz8zhGDcJ3XvJbFK0cvaqKe/Lc/gR4hPXifCesQrDAcz7CLhtzwYEGvIEhG9aeqKys/cWWvJ86Rvi3edBbzSmIM0zbi5FvpSkso8jVauRzicMyGm9OemKGu+fn3Lenug83NFnfUemEaSqFgNA+txEotAQ0iaCOhoMI8W2sDxeKQsCpq6kUCJItKx90WThH0yGXsJ+bD+ZOh6PJkync6YzedMZnOR0vebiw2eUT5RExn3huOhYLfdY7oW5QxKiaHt5dUllzfXjKeiAIv3XFTO0bVgMUMXOswQNUIx3O+P7PdHnIO6bv0s07AxtVq6hLLPn8xQOBuEFaWrYzTKWBIlSlxxlpPmY+I48+fD8F07hPPvZ+Us/pw4lBVhBWtDLNMDWud/N2wb6uS+i05Q6F51Dvp78ylIMxTrKNULVEmcUt4LS6j5oyxhmqcoZyRZ9hs1ngKvAwrbd/tsz2gwRjwR5/MFt9ma3fGR2/s1+bGibcXf6fbugf2x5Je/+IXQUn3B1BlLFCfM50uSLKXrZKYleJeaTszfnV+Tpgu2M6bf7EPyqLXuEeOnkUidnIuTYOPcidDNACA+QRD7839SKPqAp977useMTn/7NGk+BQxwvYCNUjI3k+cJ49EIrWOMqT11/QBKkaQZrXG0XiQoSVLQiizPmc1mLOZzmcWOxCzcWEG/rbFDZ8bD5GVZ8ebNO3a7vQgLuZAwDknRfD5ltVqSjXJGeUqcpDIbrYXKHBRYjRGgqmsajocD6/UD6/WGuulom4airNjuDhRlhVIwm03QGuq6xnYth8OBuq5Js4zFYsHZaslkMvYIf4pQxoLViCDdXdNQFeLveDwcaZqOKAkKmTGxn3+eTCeMRmOSOMZ5pNu5ri8S5U/rn7OlLgu26zVNIwDb+fUNWZ733QTrVRixyndSG3kOe6IcrFXv76cUMu84GhNno34O0jkLXfutcePv4xF8VcPRdxjBx4ynyeNpd0dpTaTeu6d64Ex79fQhDqKGIkWd3Kf+lfsiVKF9Z80rDWMZZzGr6YhYBVDsdC47AECh2IEEAeiVVqBjLs+WrBZz6qalNY4vv35DEkdMRhllccR0hq++es1Pf/pLHjdbKYydReuIOBb15ziOvOjRkDiFXEl0B0RQx+GwcYLfXoWq2uccrs9hniZRIf6dgP7q9PvDMRSIQ3D71lqxD26/p/j0/z2NcThRUI9CQYp0SNM4RuNo6xpjDOu7R9YPW1QUM53P2O73OHfKOIHRZMJsdUY+nghAQ5h79Ql70OOwAfDuvN/5mjd3j+yrltZIYemG7BSlFLPplCzPetGtAQwb1uwpKHbY77m/u+fxYd0rQ0vhHsZLhEIcgBFhZ1U4HIvzM/Gjnc+I4xgzJMmEPUheU9Sci+OB/WZLeSyJI02axLI2IhldS6crVlcvmF08QyWjnmLrrMV2NV07FItBsLAqC0ofl6uqZnTYC3gRey0XH98JOW3b+rprOC+yhwvF1sYJ2WhMkgsrRrvhMX9oPvtbi0WZdRoWtHOCqEih4PysCliPFSjnh+F8MSlvmgHVDcWMFt/EoKqKHigfg8JdQN7xN2hAUx2h3+mcJXKOPM3IUpkNCUOcpyhVj6v4+yYUvCHIaS0WICqK6KzjUNRsD0eKqqbrLLtDwddvbvnq69eCNgD0iIihqRtP8+rInCNOYq+MZLyRq+kXs/xq6LAZIm0B4ylqIajw5PFPEtPTL74ZU/wnPflzGlv7m86fj/70Dt93rk+vCDNZEhjpB9k5eV6tIIk0WRxjO8N+fxT+eV2TZRlREvdtcWNlXnHlxWuSJGI8GklHUSqiEFZwJpyHMFMo84p392s++/JrjkUtAhTWc96t8uQWy9XVGa9ePRNj6TBbZocOpVBP5bqVZUlVlVRVRdu1Mmeq03BGqGoxKo+TmOlMhrMjLQaoUZSQZYpRPu7n+qI0FfTJnztlPbBCoKC2lGXBdrtjvd5iTUsSaRaLCWfn51xeXzGZTWRYPg7ON7L2xV/N+5KFLqX/DLvdgdu7Nbe3j9Rtx+VlwQcfvmAxG/n5X/pO8anASiiejbH+tpWOlWyY4p0XJzlxnIrnqNZ/kK7w9/GIk7QvjGzkho3qVMGOk1lTv55UXwQJCBYS/iiKPBrt5/me3M/QX9NQoPjvDqWQTyxsINYrVASjNCZPNF3bULmhY0ySoACrdR8ne/DJz+QGgZksy0jzHIuiKkqKqhbF5rZl/fiINZbN5tHPxQIqmFXHnr5Y0HUdWZaRpFKYOP9zqehsP7uprKVD0eqYOBa/UpTyVhn9qWCo3kLBpk7OyvCwULSdlOj+LQZw7CSfIuw5/vy9Fyv7fwqKKKDaE4AufHwvBqUgihWxnzkPM1L7vah8zhYrRpMp5XZP0xniNGUyHZNmKUkyZjwakWcpkZcql/PU9gVLludEUURTVRwOB968fsMXX3xFWTVY4568a4cjihRX1xecn6/I01RmE+Oon8kL7A1jDG0rogtVVbLb7TgcxOcsiSXeBfDJdB1pkjCdThBikVB/J+Mxi/lMmDT5UFChdT+zGmbYlRPwoCoKNo+PPDyshaKrFCPvyZllOaPJlPFkQj4aeWVn50cxjegdmEA9FZZDGB057A/87nef8e7dA9P5ko8/+ZQPPvyA8XgiRaDWGCN2JsobgdflEWcNkcpRiZ/98aCQUpBkGdloTJxJEoVS4NXcv2tHcjJG4E6+sj53MyHx1vqkOSCHFBHD/aZ7kcOh449zT55/KGreI6a6IbMJ86aimG9wtGhn/v/c/VmTLUmWnQd+arPZmX28U8yZkXONYGUBaA5gd1PIfmBL/wP+w37pFqFIPxAiTZBEFVCFLKAKVTnGdCefzmyzqfbDVjWz4zciEiLolwoL8XC/x92Pn2NmunXvtddeCx+hKJrAFp99ammsyJgTvfJQdt+Sua2OMAzsbHFCrDzuipwvv3wtFL6uRWH41a9+zX63o20bm3QLcJgmg1iL57s5MHlvTvxIXrjV4jCGzu6r2p4PbxiSHgGzNn/GQWi2UHSD4I+Sut9/+33dT5jhpJvHP2pzeQaFUJQFwpSymKPkCb7yCALPKh5DWRTc3Ut+cbE6YzKbsj3sMQgInWYZk9mc+dk5STbpxX9cIjcu6PSIMVAXObdvb/n1715ye7+jbKxGhXvxNi+dzyZ88tH7whJT7vQ7QEP3FidtIw2APM857HbUVWVnHGVvLKuGIM8t+OeJr2LXoqx9WZym1v8xFU9hDyu2NuRyGAuuIMB9VRTs1xsO2z1VWUEU0MWgw5Ag8kinM6YXT5ktLyBIhj1GN3RtJ56LdSWga1XJHPkx5+52zd3rDUHgMZlOmC/2TGdT0iwSKyubY0ixKzT/ESmzv/z9/h+HxNmU3hNUYdlB5mTdft3x7Z1F16WSf51u3eOExAYZN9cxbgC6Ys0Vio5eOgwrD0ipSyB6JKavnOjfGP2sD30CPE1CYt+2YT1Bf6X4cQIFps8gZMZLeMxudqxtaozuen66IEkSKNuu41iUNN2aPC/thRFp5QBRlttud5SVUE2TNEMboXp0nRmC6Omp6y+OJFTqBN0en1P7SH/VT9a+AqccaEa72teASaeF43ABT74/BHZ3t8nfFgTc+gYhaqjSiNcEniEOPQJPUZYF280OlHjzhGHYG4LWjfgWTqYZL148YzafSaFpN26XPDvExxlii4qjS3L2fPHlK97ePlC3DqJwabUgVrMs5uf/5I/45KP3CRy9V2s6M9Dduk5oX2VZURY5dV1JIuH7hGFAaClInQUOPF8RRyEz2+3zg1AMxj3pkrrNVLmZFxQnCadxBWpLWZRst3vWD1t2uwOhr0gWE+bLJcuzFXGSDAjtcPXthmivtdZiNbI7UBQFTdX0Q+brXc7L17d8/uqOh13O9z9+wWoxIw58VCBR1zjQxm7sPSJvwPMVnh8QxTFhHONHkdA9PK+n4njfQaNql0AZBmTdLRFXNNKj7ti16ewwvB5Z9+ycj2fFWCT/0H2ROZ5bGTprzjKHXoJ+KIpsMFdimhuHPnEgMwt1J3HLiahAiG/8vqAf/y2x7xGREoMiimLiOKHTlWyE1q8RJTTuKApoas++Do84jqjrii9+91uOeYHWhnQyYbUSFc84jgjCAM9SEYf6T5R4u7amaYJedXbAr+0xivvugf5LpQbBHzN6/OsKwL6bMew9/eMnP2hGe+Ow3whLRqGN61IaUBqlRPArsB2nno1QHNkfcrwwYrpYECYJ3XqPNjCZTlidn5PECUEYEIYhSsmcejcCwLSdITYY2qZmt9vw9s0Nn3/2BXf3ayuiZumnWHDHSNx9//3nrJYzgsCK//R+blakoZX5+MomIFVZUtUVSRIzmUwslVZR5DJPs9sdSLOM+Wwq8TCQRDnwPdtpCXtRGcHBVH+/ghFxCOtftt1uub295/5+TVU3xElMNpuRpBOmswXZdGpRchHM0qbru9NdKxR93dW0jUPdOzoD2WzK+eUlX7265e//4dd8/uUbPvrgfT755CPOzs+JklDEueikK1LXtE1tbSJsRwK/B4yDMCCMokHRsh+/AeN991gUYo8ghxqtJ5lksXv/o/Uo62nURUT1+0G/CA19XNMjNfdHqNC7X7q8Rw9rV+sK2pj8eKBtSorIcL5akqZJH3vlt1xBNCRIbo83RmzOyrLkWNbEacr7H35AcTzw5uUr6qok8HxrkdP18SCMQqazGbvdjjzPSeqGyAI5woYbzgW2gB2AOW072BptvD7+uFzcNQLGp2HckBkGF/srdPKT40e++Riux8kXfVGKBeEN2jIqPehpqA4QCHzZ64u84KERcZhDXhAlCauLM8I4prVsriRNefL0Gcuzc+J0YueD5XU4d3UXl3TXoduGrqkoDgdu377lt7/9HZ+/vOFYNLTtoIDqYr6vFN/75EM++uh5T5XVRov2hlWbbRuJO0V+pCwKuk5sURbLBdOpjA91bcvxWFIWBZ63xws869UqLMQkzaTZ41vQTUlTqrcYsafQ2JNoOk1TVeT7PbvNlvyQ03YNHtBqDy/wSGcLlhcXRPMVWF9YEL2MrhWLo7YuaaqKuiypi4KmLmmaliRLUWHO29s7mtcPTLKI1dmC8/MpZ8sl2STufS219QA2ngNQ3Xmy423GkGRTsdwY3ScGM6rzvvn4PTRUSR4GJHe0SNyqRvUIj+tauFtaNmtJcMcdPknEnFHpkKz2N/YoyDwuUD37nAq5wWMPziYJaeiBVbCrG0H+wygkjiICX/WosROXkc2zEjGBtuvb0Uma0hlFaxT4AU3T4ntibj6dtXYDbsmyjGwyJYxCqrqiLEpc78oPAnqqLvQqsn3rDgaUxRiUFuEE3A34blU+fE3/Y6Mi4vRMGWOTI7cR9MHcJqSMz61i/Nsu7rricZgJBGNGHWKrlBp4iigQT6UiL3uFvtVqSRjFhGFIqw11VdHqlo/ef5+nz55ZKozcL5Io24RJCzrUtS11U5MfDux3W47HI5vtntdvbyjL+iQRtBNGeHR8+N5Tfv5P/ojVYk7XtYCxptPWoLlpRtddlPpAEUXinen7ni0cxJDXzflNspTFfEYYhPihLRbVUCw60Yl+yRmXeLqg0FKXNfvDkfV6y3a3p6pqklnKfD61hreh3ZXdUww0IKw6p9GS+G83O25u7mibliSJSdOU66sYbTw6Ay/f3PDXv/hbfvf5l1ycn3FxtuS95094crkiiWStyMyCdFm7Tgb+/SAgTjPibCLy9F5AT33D/N6A8o/1EOEjeYeeeRR3YCgmDH1ck9jolEgtQ0ENtHe3oblCse06dGeNm4cmPeCSNjsXaex5djOqNuZGns/5LGWaBIAoMVdl3iODbv5brmvX+yB2IxGnrhUPxChOmExnBFFGZ0TNs2nqPr47c2RUTRgELBZzuk6zOR4py9J6V2mCICAIZX7E94PBk08N1P/+9dhZZWOkOFB9UjRO/uz56M/78LhxCayyu4p5DIBZkHB0l/ZpmCu+zegvuQvQI9+aTkGnFcYMtDdZktLJC6z41t3DA62WuZKm6VidL8mmMzzPp9Mdnu/x5PlzLq8uZf7Nc+hvh8aBYE1/TtqmZbff8XD/wGa9oapqyqqy11GSIXcvuVmexWLOD77/MZMsxpjOXlvnqylxrihLq9La4LpoE1sMRlEkvoueoiprtrsDt3drsulUxMoCGe8IAqHl+b34i5xruQZOrMTSsWyhmB8OrB8eLCh2pNUG33YUZ/M52XRGGEdWtAEcnUs7s/emoq1L2laSqKauJUb5IdP5jB/99KdMZgt+8Yu/5bPffcF/+Pf/gZdffsX1kyuun1xxfr5kMZ8ShQJyxUlCEAREiXj8dnamFs8jDGP8IALPH/IXpXqV6u/i8bgEMfZBhaVQegoZF/Ks2J2ln6ohr3PrG2QJdTaX64xBWSaS5mvyma97Ja6Sss/p65qnF3Muz1LqpuL+4ZbXr2+4uDjj6dNrsiRCOQAYt0cOPqB13dAZKTCjH2e8ubnjd599hjGmn4/tmobnL57T1DW/+e1vaOphhi2JI26KomdcxFVp9Q8S4iTu59GH7Mnlc7of8ZCYPj7T5mve/7tnRT16fOg+fs0P/N7DnH5tn6cv6LUDwzihF3tKEVqGwm5/4IihLitAc7FaMlsuKCuZLTTAkyfXPH//PZIss5ZTA4hk9FAkdo3M1dVVSbHb8vbmhpdffsWbt7cc80ri3OhMuKLs/HzOn//8T1ktJhjdCfgvCjh0Vlsiz3OKPKepa4LQJ5ukhKHwgmXvbWnKGj8I2W53eFbFNk7iHjByFH75syNgd8SmGneJ26ahOOYcdgfy/ZEir9C6JfQ8lJ+RzWZMzy6IJ3OZ6TZgTGvjdSdFYtPQFDlVkVPZ148xBFHE8w9fcP3ifW7e3PLZb77g1cu3vLnbEscB1xdnfPD+NU+uL1DKUNUVQeCjwgDXcQd57W3XEYQC1qnA0dDt6v9PDHHfTkO1d85QAGLl42X7lE7hYCrtObTJ/bKtwvV4o7absu5sgmS6Hql/TP/5hlclb9GAh2aehVyfzZjGPhGiPlSVFQ/rLXVTM5/PWS3nJLEzI25pWykqu8765SAS3F4Q4vktftARxTETY2xCVnM85tRVhRcEJEHAfLEgyzKKspJNvxPzVicT7iRsOzfTybtr3CVAjD4P3xsXdu6n3/1955VjzBCWNIgnm3I0YsP4BUgnYSC7jf5nkRMR9uiQIlEr+9kVm8qK3CgIPEVoUe3amqSGUchiuSIMI3w/oGmFBz6dTPnJj3/EYj4XETQb7Htan9YY3QottJBZl/XDA/vDXuYVyxqFIokjjmVD2zVoNbwm3/d4/uyay4sznN9n17a0lg5cVTVlWdC2LTLAHhDEgX0tDM/jKTvjIsWrwjCbTZnNpvi+FWNSg6m6Mubk3sZulJ0WBK1pakt1zTnuD2y3O/JjjqcMWZawXM7IMhmi7yWl3XXFdVyF9tbWLUVRWDPvliiOmE4nTKczwjDixYtn/PEf/Yz17sDnX7zkH379Gb/67Zf84t//kmdPr/jzP/0pn378Al+5IlYKRVD4QUiUToizKUGcWalmSxsElDZoOtDfPbRdEh/XwTqdyXGr0fV6cei6LRYd5d1zoJlLIowB4/UKp2DoAGU3RAco0WNIxoJgg9S/o7XGvuHDiymfPjvnLAug7Whrj/woHZws2/Ls2VNWyxWerwaqj+00GWOkYxhHRJ2xSU9KR01bljRtK4JLndD9iiKnsSBLGIacnZ3RtR37vYAcQlmShKnrOuqmJbAZp3RXFbrrI4xdD23/etTj7vQISPu6OOnqSoNTSrXJah+T3HUaA3JYqFKeX5n+SfokxP0FhfNqg7YzfcHuK1HYFqTdo/GlM3i/3rLdH4jjgOViTjqZEMWR7C1GM18t+PSHP2C2WEi3SilJoi1A2DSttYEo2e923N3dcn9/T9t0ZJMpZ2dnPDwchOFiLEOGYd7aU/De86d8+MELwFDXTQ8+Nk0tCHtZUFYNndaEQcAkS4U63NPb5WwbA54vwK3yIEsTsjQjCAJCi7JL3JMCwoyuRZ8ka5n/LuyM4na7Zbvdc8wLyrLBIBoIMtc9ww/k3nG/22lRJm2bCl1XtHVBU5U0TSXzsUYDPp4XYJRHNpvxkz/8A158+BG/+dVv+eV//Adev3rD7373GV999RVPrs759NOPuX5ySRh4Vg07ELaE7Ry2usMPIoIoFu9fp5TtgFytR/Tf785xUigq1T/m1tl4PCewTInAMUs47eY7ARJjRPG5U7JP9DvEONa9m+TI/wZkCGVkzvQs8/nxB9ecrwy+v6C5XPD29Vu++OILvvjiCz58/z2eP3tKHAUoY+hQPROsqmoOecnhUFAUknf89Kc/xvcVf/mv/w03L4UZ0bYt292e87MVi/mczWaD53ksFgtaB+Z0QzEqeZP6WmEV+XRaXJgRsHJaJqqTf43jm2M8qNFVMn1jZhT7MFaNc7AaevfcvvOlBXisSrahL+YVtgEgG5ewKOw53R1ysQjRmsUsYXV2TpTE7I8FVd0SxjHf+/RT5ouVjKqoYR3JGmp7+4q6LCiLo4gJrh/YbXcYY0iSRGzNDgVKd32RrYA4DvmTP/oJP/nR9wFN29h7TosfpBP1K4sSgyZJEmbzGUmSCuXf6H5eGwxRE/WxJ0kTprNpz5gYGEG2HzoSYOtnTg29oFtxEBuhMpeGUVnWGNMymYj342Q+J0xSAaIsVVaEFRtrz3GkKkuao1i1id2PJ+NOcUIUx0yTKRdPr/n4h59w+/aeLz77ii8+f8nruwfW2x2Xr+5ZLqecn02Zz6dSS7n83hXrRhSn43Qqa9Nd9NFeaR6vz0fHtxaL7pb9JiDDnTs3KKqVglEeOZbnHX7Hvng7cO4UiAZu/Oki6r9QIxTZyMWMfHi2mvL8bMI0UvgEaC00qENe8Pb2llev37CYTTlbLZhOUoIgEFnytnPLEJSoS+ZFycN6w3Z/pKhKW/i17PcH9vsDVS0drTAIral7aCXSdf8iBW1o8f223+T79z9+D6MT6FAoXPIzeuMuiRzeeH9pXLSX6z7qhoxSNFv96SFhcn8WJyffZ07yF2SloIzGU5rO0yIkoySRwoivpa+MfHgyw2NQ1G1LUTZErbYJiCDqdd1QVjXPXjzjo48/wPOE0qot5UiQp5amqjgeD+w2G/LjgbquMUYzm0yIk4SirLi9WxPHIYFvizUtimzKQBSFXJydEfiKuhJjaklkG6pSuslGa6I4Jo4jSwuT+1TsBVpMp/uzqHXHMc/RGmtunQ5do/6UDbThIaDYTkAn76nIj+z3e/JDLkh/XlLXDWkSkKQxSSoDy0oJ2NFgoGEYxLaWJV3bWepswSRLWMymBIEI8PiBTxAEpJmoXD19/oKf/exn/NPNnr/8y7/if/vf/4Kbm1v+/h9+QxR4rOYpiqGj74chYZxakYdEaCS9zyVWNdVqL38HBW6AAeTqgRq7SY+sLdyPWLhsoGU5itY4DVfKiRTbotIVV/J9VwD0f9Z+4Ssl6yoQGmDoe5xnPn/48TUfXs6YBC2EMWEU4itFked89eVX3N/d895773F2thJEFQsIdEIl9f0AP1C0bc52d+Dufs3hcKDIc6q6oqlFxMDYtdDYOFl4HkYLtV4hhahBERpjO5mK2hq8u6LlJHaDndMePjzra9fTQ78mmezThVHHwcWvvoS3SLkYS6u+O3L6HP1vPjrfavR9+fs93d5IXAt8xHYGTWAVA5tOU1YF2mgmk4T5ckUQRRjl0RmZVXz+wfu898EHIp5g/4ZxgjbW97LIc25v3nLz9i1lWTLJMi5eXDGbL2jqls+/eEvX2fg8KqRFeMLj44/eZ7GYUpa5VQsVYZ08z0UttG3x/IAsyZjOpkyztI95bVNTlEI9BSPWGbs9bSvJVjbJhGlhTZ97NtFJ2juoszqK/X6/Z7Nes98eqSw9vrHMnSxLWSzmhIHMy2ijURZEaBspnNu6Eon5UqhYMvbgydx0GBPGqXjkKQ/lBVxcPeXq6fv86Z//M96+ect/+He/4N//4q959foN87kkT/4k6ZUtnT+qb8HhIEmt2INv7+2uLw66rgXd8l07HLDyDjW7j2/qxB/Wjd45AE298zsDGO72R2cbAUjCDf15feewRRKAb+nD33+24tlCGBS+5xFlKR99/CEXF2d89tnn/PW/+xv+/X/4ez75+EPee/GMNInpjKGuW47HnPV2x8Nmx+dvHnjz9hYVBARKMZ/P2XUtu92Oqiz54vPfcfP2FZ6SsZnZbMYkS7m9ux+yLq2tkFfbszX6HeLxORx1nYaEbJzTfcNhjNXrkOfT6H7cY5TTj0/Y8L3T0Hb6Y9/wLcdQ6GzYdeNSLudwvr2NtSOp6xYFnF0smC4WKM+nriU/vnr2lPc/+nhEPXV5r2VUVSVNVVAWOfnxyH63pSpLsixlvliQr84omo7XdzvW+5y6q2lHdixPn1zyZ3/6UyZpRGPzOue9KnZDRd+gcUKDrvsLklN1Vm9D2waRsDY088WcxXIxFIruWjDk7sYKKBozZr+1HHcH9tsddVH13ey6bFBeRxhFTJdLoiy1SrA2tlhBn6YuqcqCOj8IZbaScZAgFF/wIAxB+WC9n70wYJGdc3Z5xfd+9AOKY8HNm7f85f/6F/zt3/+STz78iCdPL60Hdtdfd7d1BElGtjxD2djbU8z//1Us9l0rRoWf1nR6FDG6IZK4pH30BCeFCMYhNNoGEHlybROFcVHlNnLTP7f9zxZGPrDKYj64XnGeRUQ2+Gk/IEhDnl0H+Mrjq69esl1vuL+9HWYTLarQdYLuFlXNZrfn9c09m+2evKp7KoEIkpRWxKaR39Wa/f6A1vQIhdebdkti33YdQmZUvdKkSzHdexyulTlZ/uZklT8q5lyYMqNC3IHpZvgTvYciWMhodF0e1ZyPLrq8aqPplKbD0BqDVsZu3CK86Hvge4bAB4NHqxXadDRtB54Ywvv2xiyqGuX7fPDBB5xfXNBZcRbhWdc0VUVZHFk/rNltN7RNQxQFzKZTK4QjSrfb/QEsKt8vZAtWGGCapVxcrABDZWlLjZ2VbFsJgOlsSpqm/aykAyhaS0tqTNcL4Oz2klAbY7i4vGQyyUQJ1WgUfr/5DbNhNnnqBI1qqordbsdms6EsctuNkc5E07akBMRJRBTb10Jnk1VbvLZigNt3wy0okyYxZ2crsiSmazVVXbM/Vrx8fcN0VvPi+Qt0Z/BUx5Orc/7b/+af8fRqxa9++UtZd7pjvz8QeBCFIX4g9NMoSYhToZ/So+z0A/xGeFl8F9VQe0pVv05PQ9fpP0a7c18Y2U2SYU29s8aUM/32R4Wi6e8jsKCPB8ZIgda1hgDNMpvwZDUhUkLnUQriKOL6+lpoVZOMzz/7nN/86td8Gcd2RgHwPDpna9G2NK3my1dv+OzzL9lst9R1JV52libkACptixqjpct4c/uWJMko65pOi9JnP9uJIPqdVZNzhs4nZ8EVg9r5srnO4hATR2d9nAoNcWxUhI5cWBFRFVcoDnuTm/8cDvvcdi8bfNvs9+xe1HYd2niWdgpoUSwOAg8/8GjqjtrOGyrfo+k0Rnm0pqPFEGcZq8snTGfzPtYa01nKak1ZVOz3O25vblg/POD7Pi/ee5+Ly0vSJMNozbYV9kFdN5aZYt+tZfOEUcTl5TnK86jqQpRC25a8LKmrCuUp0jRjMpkwnU6Jk7S3AGhbmdmvqpKqkmJxvdly/7ABpZgt5kwmGb6jFHtu8MMMexNmAPmalqIo2W523N3dkx+OdK3YpXQa2qYlikPm8xlJHKF1J0rrTnipralsx6GpCqFm1RXGaOIkJU4nJElGECUEYUTXGt7e3FGWNddPnnFx9YzZ6oKLFx/yvR/+hLPLC/7Nv/r/4vleX5x7tsOguxaMhwb8MCKZTvGjGK3EvmiI46LoarrvXrHoVOMl1A2ryB2O4q0xmM6gtUIpfVI8nqqSYu9zYwtFF0wH8S/jrK1c0m3/tgN+hqDZsMwSPn56TuJ1OHsOZZOl6STjJz/+ES+ePeFv//aX/Nu//gV/9Vd/w9XlJddPLgmCkPVmw9t7Af3v7jd89dVXHA9HPGWYZBOyNCWOIor8QFs3NHVj57SFnrfdbKjK0sZqNbxHGATPnNjfKIFycdyJAn49n+zrK7uhXh6+11vouG86b2yDBfXV6bl7N5sbigH3l5V0JTuMFS0E47mCwbIrersUQ9MI2F5WLZ6niJKUOE3RWopI5fl88v1PSSbTUa6rLbW+piqO5Mec4rDjeNzT1A1xkvL+x5+wWC4pq5LXn33WC3A5oSOl5f70PRG2mU8ntE2DUjKK4/aaqiyFYRXFzOYzpvNp70YA9OKSbdNYa7GS/Jiz2x3QxnB5ecF0NsFhYcYy0iT/d1Z3eqDsGqjLiu16w269QXdamCMIYFpVNWEszIdsMoVAQNvOMna6tpG5xDKXTmJZ0rUNoEjShCSbEMWx1BB2RrvISwGRAxFe9KOIWRQRpSmvv3zN2zevef7skkkWy/kZ1xkovDAiWawIsyngxOUs4OH2VDPYIX7T8Xs6i/0d1yMbsgj06OvRHJP1VxiQkNGiMANd4TQhYCg0lVO2cru9830Z8eQRIkyiFFfLjKt5RugLQqJwRvNiVnx9fUk2yTjsduz2O+5ubnn18iV3t7cc9gfqpkYbQ9V27I8Fu2PeJ1Xu1XWtSMGLf6yPQ1PbpqYocpH7NqZXJXKVm5x4l4wMYhXvonmjbLQ30/66cDJCA9zX7iQag9GuIJQroqzwTf/9b6oW7XkejbxLUYgUiK0RYYfOyHXwlOfqCDwlNK22PydS4HiBxvNDgjAUxLksiaKIq+trAJkn6Fq6tuG427DbiqdNfsyJIqG8LVcr0kwSFjffU9drmfWrm95TUWwBJNClacJqtcDzVG9QX1kkKo5isiwlTcX+Igiskq+R7iNWtbauatpWPDa/+OqNdKYXC55cXxFGIc6vTOvWUsSsuq5TnbR0i6oo2G137HZCoU2iiDiOLOVT6NDK88jSVGhhylibDUGv6rqlLCoOxyP7vXR+0izjyfUVq7MVWSYqp43XYpTHy9+85n/+//yvJEnG/+2//7/w0x//wHbRWzzl8d7zZ0zTqFcXzI8HmqoEnPFwQBDHBGFkKWLW/0drO7ujZXPpNNp89xIod5ysu3GH7Bs2ebQUdxihHbn4N2JVPsLMZK15nicFmnEJhhkVFiCpmmy8sR8wnyQkgZJuh/WI9RAl1CxL+fDDD4jDgN1ONuS3N7d8/tVrbh+2FLXYwcRRhPIDXr95y93dPXVTM1gdWbTJZhW6E1DBWHGo/X4vm5c1AnaUJRF1GjyqdNfRzxXaZBAcoOVEfgxeL8hohg91CjaOI1b/dZ/8SLw8TaKGZMo98ztFa/+4U942o2slO5vWjobqEmP7Gvqa1SYs9mMsPKONUHwXCzFu1qaz1hViLH/Mcx4e1qwf1nRtzZOnT3hyfc1k4lgC4lN7POY83D/QdZ10w7RjGEiXOPA9kjiRLnDdUDcVeVFQVjVxEjObTplNJ0wnE0mevKCfp2zqhqIoyHPxdOxazdu3txyOR5J0wtPrJ0wmk6FQHJm4yxYjM7B1XVGWNXlRsFlvWa/XMoedJAReSNtJMlo1LZP5lMVygR94fUItHrECFJZ5LsViLT6JSsF0OmM6WzCdLYmTDM/zaVvNb371a/7lv/xXdLrjX/yLf8H1k/fwvIhOeyzOLvmTP/lT6uOO2SRhtZqhjEYx2FF1XYfxFFGakUymqCDEqSk6+nZnO0m6+e5ZZ7yTgtjDLVUXd04ehyGg4Qq8gVnRsys8v6fo+76HZwzaU32RJQWj18c8Y4b1CBD78P71ktUsxu9qTODMMay6qIKuaZlOp/zJH/8BH374Hl989gWfffEVv/nsd3SIv2FHgB9GopdgfU7RHXVRUCYJbWstBtQAODdtIx3HusIY6Y7K6I0bLRgA+nHMdkCKA7uGQtGdPQtk9etXzmDfHHGfTlhe8myOtdf/HTWce/mkxqFtfHWGvz/+M/baaMvukvns4fsOwHFH3XbUTUfbdXj4TKcTgjCgKGQeejqf8/4HH2CUdPAw2haJOcfDnny/oSgK2q4jyzKevvchy7MLgiiiLo7kx4K7u3vu7h/YHQvqxrEM5RzqDg77I/v9gavLczxErKVpG5qmQXmesCZmMybTCUEU9voDWmvoDHVds9/u2e921FXNzc2Wu/s12WTK8xfPidPkhHrqPLiHUQ5tFZq1aGfcPbDb7DBG5r/jOOZAbtk1HeksYXG2JIijvugzWuww6qKgLgu6qpS8U2thKk4nTGYzQqvG3LUNFB23r9/yr//NrzFK8/M//znf+957st8hfqDLsznf//RjLi+XCIVZ9l5bBQiwmGSk8yWE0XDf4qjRpi8Ux0ynrzu+vVgcPemwGIab27WzzPjfFlUZfux0xNcdY6lzz1P9vMB4g+opDSMEShnwdMsyVjw7mzKPPRl0dsntOL2zdgZRFHF2ecH7H3zI9z79Aa9fveLlVy95eHigqmvuNjvu9y+p6hajRZ3OVd3SJTI2sLhFa5ABVUm2lOcJjcUi1c5jEozNxR6lLcb07fohOnO6xuFxlnn6tfsV6xspF338JDZh659+5L3CwFN3182MLq7rbWrs7KLBiip4tkmpcJ0mbcSDrWmlW9Zpg+d7VlY/FnuHVuZwlssVxkjXtSoKNg93bO9vqasaPwy5vL5itVoxm07xrYCM69a1Xcdmu+Vhs6NubOFik7qeIWnA93yc0TdKkukgCEU+O45FXt5SWA3YKljRtZrd9sDxcKBtOx42O37zu69Yb4988sn3uLg4w7MBsbXdZYeMdlpbUKER2unxyG63o8hz/CBkZT3JFNC0HVrLZz+MSNJUOrDaCaHInGyeV+THgrKs0Nown825uLrg6vKCNEtRnkK3EiwPec7f/O0v+etf/D2+L8X21dUFT55cYpTMQXYWNYqiAIyH6VqUbi1VzRf10yjBCyOUcobUhs5IAHU+lmL/UfNdPL6hHLTH6DsuILtYoOkLpP653GZ+8syjokiJaIQIfWHDwKO/rhRKGeaTiOvVhDQEdEtPguo6tEWeDTCbzZjPZ6Rpxsff+4QP3rzlV7/5jM+/fMl6uxMzX6PE5qeVMQDlUFQXrV2cs2+z75prN/fo90pxYRQRBqFsXq6rbly8xL5PzyGB/fO7GZCTPYVRdc2jUPgoLrpYZnAdRVc4np7Hx9fzXZxufB2H3+0BIGX6gnfoipg+4QsDnzD08QKhC2F/LwgjAbp8v6cnFfmB42HPbrenrhsWiwWX52esViviOOqFOZq6oa5q7u/uubu7l0TDDIWOEwvSNt7XdW1ZFNKtWyzmTCcTsklGaruJYSDbvNaapi45HPZsNhvqugQ81g9bXr58Q1k2PHm64smTJ8RxbMcI1MA+1/K3G0uhPRyP7A9HC/Qd8TzF+fk5i8UK8cUL+fLL17S6YzabMplNJNnXHW3V0rQVVVGQH/bkxwNVVWK6Ft9XzJcrzi8umcwWxHEKeHRtx/runn/7b/6Kv/uPv8TzfK6uf8Xz9z/h+sUU31fiB6c1s8WC1WLCJEvE7LpphkxGKYIwIZ0uCJMJSgkHyFk0dd0gxtTU371Yp0b3/Lelh1I0mj5fcJ7avdLpqBPRzzj6Mg7hWxXdHly24JBb92OQTATrJY4uk5gPL+fEgY+PxlPBiPoqrQLleehGrtdsOuFHP/qUDz54j5ubW754+YbPPv+CQ1lzfjUhzabgBWg8iZ2mozscbNzWJ7msiMfJ9Zb8QFnlXNWLPcIACrlzM447TjXTAXDvzIQ+LhT7M22fwzZHTh8zfSNkKBpHj/V/wX11enGHfcUWtUYkAVsFrdWicNe6aTvrNym/J4CYACmBJ8WiQlFXNWVVc3F1RTad0Nr5+LaqKfIjx/2Gw36H1g1pOuH68pqzswviNMMYLWD+8ch+s+bhYcNms+NY1tRdR2es1ZmS17k/iLhh1xmcOimIX2iSxCSTjNTOJMscPf09WtcN2/WWu5tbiqKkqmo+++Ilm+2BDz7+hOsn15bVZVC9yOJg7dFaALSua467A/d391T5kSCMmM/mTKdTu21taK1C/3QxY7qcSaHYNKIQXTc0RUFTicYJWovATpqKz+x8JpYgnvh0KNNRGsNf/Otf8P/8f/0ldVPz5m3B//Q//T94cn1m1bo7zi8vKY8H2X60xvod9XeV5weE6YQgitEub3d3xXhf0/oEJPi641uLxb72OCn+xje+cjWJPK4A/JPCx9nHyBoYbmjp7ntiweCGp61YjsgTez1aJevPtoG1IdJwNQ24miUkgWzSnQbVUy+HxSpotpH2uxcwWy4Jk5TF+SV5XoDv89lXr9iU/4pDKea/dK1FWGR+h5PFN7ymzhole76Pj0O1h4Vn7GyPQ9WAk8/K1YpG94WcO/rk5dHvnVwE+8DjwH9aBA49Q5fQGm1Onqr/hwtkgGcRtw6rhto5w2X5GUfXqpuWquloWt3TcoNArBeCMKLTR5E7twg3GNq65v72hrubtwSe4vzyguVySTrJrDrfMCDt5nuOxyOv39yw2e77IrHrdD8/hVLkVtGvrhuUh8jCJx5hENqi0bdd0UHAwhihqr69ueXz330uxZPn8+rtPa9v7lEonj57SpYlfZLbtY2o5eLuLxv8ipIiz8nzI23TkmYZi8WCxVzmdJqmxQ9Cqqal7QxJmhEnCUBvXVFVDYdDzvFYoY0im0xZLJeszs+YZKl0N+Ud0GlDnle8fPWWL754RdUaaGr+3d/8Ry4vzviDn/6Q6WyCMZrXr17zcH/LJI1Jk8gGQoNG6A1BnOJH0oHAdcjtHeKsTFp7LervYLHYb+rGjNbFcA7U+Gv1mP5jF884AXCJgjr9PWCYY/QUGCtCpYbko7ff8D3SQPF0NeVqGhGaFmW6fn0AMvNrX4go9EEQRSzSjCTLWCxXXF1fc3O/RnkBVdNyLGs2+xzqGtM1GNMMCQ5gq99Rjaf6te/7HkEoxVEURr3ys1uLPT3cnTPlvhrFt3Gh2CeCvy9tPTnho3+NSsfTev0/6egJnmZUYBpHLZef6bQkUP2MD/Y8KEWWpkynU8IwpNPQtC2hHxFYO4hOd+z3O+5u3lKVBWma8eL5C1arFWmaCrhlHB1TkpLD4ciXX77ujcKlc2ksHVxJN1sbUTltGkJbnIahE6QJiKKIIJBYKkmCdAOLPOfVqzfc3d+RxJJAfPblG97cbjAaLi4umFtRHs+qIWqj0a3za2zYHw4yl3g4UJVCHZvNppydn7NcnhFGCU2jWW+P1HbOfz6fEobS2QShg1ZFzvF44LjfU1clvucxXa7keVbnpNnESs1LEXg8HHj16hW3Nzd0naasOv73/+Pfcr/e8ZOf/pQXL57je/DZb/6Bh9s38PwJHgtRQ7cps1IKLwiJsilxNsePRHzCKbJ3rRXj6GQGt2u/myyK03UyAF993ubyBiOFjVGilqk9AY2lKeD1QLoctmPcK9sr8AUU63M55X7SfnY5jlB8uFxMuF4kBL4ZmgjK61kbfT43BpYUpEnMe8+fcH5xxnvPrrjfN1Sd4X7/BV4YE03mmCqnaxpMV4lw0WjNy9M7/+vGegT6dsZVfsqdE+lCj4Ax9ySj9zPW31D9Ce+rweH8uPzOPeKA+9HPvVvUS0x17AqlOPkJA3ZMabSXyYN9xdpp8YVstGeV7iXPU237TtHg3lMURaTZhE5riqKi7TTL1RkAVVXQlBXF8SCspbokSRJWF89Znl0QZTPp1HYdbdNSlQXFUZTu15st291RGGN6NMtvC+WqqtlsD3RdRxj7oqrsJ0RRKF7eUSggpm00uVPftR3H3Z43L9+wvn9ABSF3t3d8/uUbAN7/8H2y6VRycYa4L6rObU/XL/OC/W7PYbdDa8NitWKxWpJNJ/gq4HA82hxZE0Q+q7MlYexLnthourqiLiu62vl7QhAFJGlKOpuTTTL8KOwVs40WNkqRl9zd3lFVYvH3l3/xCz756Dn/9X/154QhHA8HvvrsFW9f3vDsakWWZkPjCFk7fhjhxxOUHzg+6Mk9KmRQl2d/e6z79mLRohCo8e39rjqqizzOo+WE1Ph48x7/rntG+SXr3yOLsWv1oByordEfolY4CQ1nk4xFEuBbz09t8xKxUBiCiqOWyP1j0Y+mpq4r8MQsc748I8pmRJO5VfiErqkpi1zMfKsKOkHfBz7wOKFQeJ5F4Ox76i/EyXt99/wO9K9vznSMGf+Gfb5R7ShUCulCYMZhQw2fRpX/GHl/9IJOn9zeWJ0RgZvOzR1ooadWdUdVC02h6YbNWEyXY7BelcoagYOmyHO26wd22y1JknB9fcViuSAMg9F9JW/C0TqbRughb9685ZgX0sl7lJwqoKob7tZbWmOYRPEAPjhJ9IFHZgt5j6Zpubu951e/+g1vXr9lOhUxnWMhXb3r60uePX9CEAY4iL1ru17l1hWKR2sp4NSslqsls+mULMuIQ+sjpiVhy/MSkA3OtzdwpzVl1XA8inpgEIbM5ksWZyur7JX0SsOOJnU45Lx9e8ftzR2TLOXyfMl2d+Tlq7f8v//n/4X/8Ld/z3svnnJ5sWK3XdNUJZcXZ+j5FE+B0RrP9wkiEY7w/UjAjb7VItfCdSa7bgii37VjSD6GBTQulnp8WLkiaPj+yfzO6FAWxDh51P4d31MY5fcziuPiybPFoFKKaRbydDVhFis8050WYTa2SQdS7nXphlToQJLfIPBZLubEcUoQJxRVzRcv3/LmfktdN9BWvY/dGFHtumYooBSPClkfz1pmoAQ4crNhQ6LkTsdQWI/PhAMPByl+OPU+fDc+nZxlF89cbHPJ5Duw2+MnO6X6D9oTLnmU+73t3MyIQbWapu1ouqFD7/s+USRzePPFAj8MRVG2rPACmcvL8wPr9YY3b17T1A3X15c8ffKULJv2ljzG2j1pO1dalTX39xu+/OIleVEN3QuXJI8S8p2dm1+eLQWcC3ywHV6wFLZOkifnzbrbHXn58jU3d/fMZlO6Dl6/vWO3z1kuF1xfX5OlSe99K5YnHXVZUpYFh2POZrNlvz/QtS1pGrNcLjk7O2M2XxKEsdjD6IqyasjzkigMmc8meB40TYUop1aiIlgVKAWLxZLlcsl8tSSbzomiGIPXd/uqsmC3WVMWR148f0rbeVLk3tzy5vaOv/mbv+X502ueP70EXROHHvnhQBoHxJHtcPkenhcSx6kkr1Eq4Bj2/rbxXPwvLQ3198zx/GM/3FrwHII1yhlGUQ9wlGxvEKcarSQDPR273xuNoWsautZ1Hl3BOMTFXgyr6whMx9lswTz28Dzdq46P4STt1NNHBZkxwlYqioLjIWexmPPio6d89tVr9n/1S/xkwmyyROmGpiyp9w8UxwM05Uku2xejLtdUCs8Ayu/3ARgVFZ0+iVejZ+FUqNCd0qE7OJSApzFvVAb2cd6cmPudRK+eRqtG1224IvDOk/d/1YncOA9tS8/Wom6NElDT+S8a3yNNIqIopKpEDKtpW+IkEaGWqhIqeVXiYTi7uOT86orJbI7nBzYXlBn4tqlorOL9cb/nfr1jd8jFO/sEeJCv2rblcMhBKZJE7Nj8MJSZat/r9ULGbvS601RlxdvXt3z11SvQECQeL1/fcvew4YMPXvDBhy/wA4XMJsrf1JY5UVkhweMxFzCrrklSUYKdL+fih+0pdC004bpu7QhCxHQ+QSlDU0s+2FUVbSPiib7vk6Qx6WxKNpkQpIlYEnlYsFbiT1lUNMWR7338Pr/87T1ffvWW/f7Iv/xf/g/ub7YksaKuSnYPD0Sh4fp8aT2O7b2LQinJ7TzbVTRgHQdcV/GUmt/+HmDs93QWx4VFDzmNblRlKaNykTxb8PVHj6YwrI0+CLmb394R2vQSy2I5IMOgXSuDoZ6RJCr0PM6WKbMkIg4tBUspi7C4xWxlgUeLQ9sZiaqu2O723NzdE8YxhBH7PKc1Yp6ZZSlpEtM2Nfl+x259z2G7oakqqzhHT+NwZM2hADOj8zYqiuXljcpMhhc2+vc79eK7kNJwbVxyCUOhePJ9+f8pgNiHoG962kcZmi16kWDS2iKt7SQRlSLR/tuebN+XeRoUdG1LVVV0rRTpZVFYipfm7Pyc+XzGZDK1Uuaa3mvRbtzuBm7qmrv7NTd3a+ra+Y51ttsxCipW+dT3BFn3rBqWEzRyFBGZA/Doupq721t++9vPeP36DW3TSlc0DO21Mjx/9pTz8zOkI0uPwjhbgbaWQvZwOOB5iizLmFm0KIpCQkvlMrbLuz/kHA4HfAVJLGqWXSuvuyhKUD6L1dTO6kyJ00T8f6yKn5vzqKuG/W5PcTySxSF/8KOPWc4nfPnVW27uNjw8bFivN2y3e/7Zn/0RV+crfN9jOs0Ig6AXxAjCkChJCSOhnWHRU5d6a+eX5ehZncyPfteOpq4H5NtysgfjZftD49jl4p+Nfe/OIrtfedS5GionuxkPineerT6Nwc4GarIwYTmJ8I3MDgrbcYgzQK9gh8JuNDnGeBRVxXq7Y7cX2kySpj2YM5svQXkEnoAPbV3T1AVVfiA/7Cnyjm4kba216xgo/CAQW5wgsObXBuM+n0SWcQLz2LfutKgbbwVffx7HP+D+ZXDIek/5GgVRwyicnfzja44+t5J7vuk0Zd1QVQ2dp6nqpkfcnQ9XGAp9WymPpmk4WPo5ns9hv2dvPyaTCdcfP+Hi/II4imyslPPpOlpt09DYOetXr15xc3snHmZutMEmoF3nHvPwfJ9sMmUym/f+ll0rKLTuWoyu0Voe121HYRHy7e7AZru3htqKvBAV3MV8xpPrKwLfic+Ium1Tley2Ww6HPXkhSs5JHDG7OBfa63ROkqYEYYQxSkTjipLXr96wP+Zcni+Ik4imrqiqlratRcBGa2bTGdPplPl8QZplBFEIyhOAsqnsrGdNedxTHnZEvuLT733AU1vU/uJvf8XD9sj93ZokCPjkwxc8f/qMKPLJsoQwDm0CJXmC54eEyYQgElVVSZbsNehnFeVD5rO/e8WirBUYgBwX79xPjDQiRp+FUjrYaoywV2CgZ3qdokVyuNZ2akXU0Az78OiXxZexZZVGLJILYt/lkac5Xd8A0M531DUEhB20ftjw5cvXXJxfMFk+4f5+zfaQE89WRJMpge+jW013eODh5hX5/Ss6a6dwcn5w9jTKCsI8+q4rFq1+gcOr3Pftix0BkKovFJVxwkKPkr/Ra3AhzDUisL+H/T0BuVwBKXtJX16O49zjP+FejS3QtbFFopHcrm0VnifrQbw1XdPHJ/AUWRLRtR2b9Zbbu7XExk5THI9UVYluO7JswvJsxWJ1ZmelRS1bmIFiJdY1dlynKHh42PDmbsOhqGn1QJEcv2ilPMLAJ00TkjQRVWPf2vXZGqQvko3kqHVZ8nD/wMuvXvNwv2ExX9BWDQ/rHU3b8P6HH3B5dc7Yuq3TmrquKPKc4+HI8XCkKio83+P88pLzi3PSSYbvB6CkpkDJiFSZl7StIY594jjGGC2uC3WNbhoUiigVb+PJbEqU2fEjz7FiLBCotRXjETXojz58zv/9f5jw6999xW8/u+H+fsdf/Ot/y5MnS37+83/CJx+9oDhuSdJYbhV74ygFKgjxo+Qkzg2q5A5wsevKqp9/2/HtxaIeFUB20VjS35D0eG642ZrVDTCxRY8cSchdePqEtL8ZsGWNvXDORLqtG9qmhq5DocQAPgpJI49J4uPbJMG4hMHeZA51coiYUp4gGm1Lnhes1xv2hyOLKKEzsD8WaKVIZ3PrVxegu44wlg3QUx6H7Ya6Kk488EZl3uidnOBzp4dD1MboiXvNo985LeYel3bm5KuTtGiIHY8u5PgFueL/0UvrX9/wXddF1faj7QxV01FXLZ3paBrX4RuosJ6nxLz7fk1XN7y9uWG72ZJkU6qyIklSlsslkbWu6IMryrLfhtk9Nwd4POa8fv2G7XZPa9WteoxBi8w9nmKSpjy5vhIlP99H+ap/bhfQtfCVabuWh/sHvvjiS+lyxjHBZMJiNiMIA3xPkaYJH3zwHlmWWjhuoMDoTlNVjRWx2eJ5HrP5kuVyQZqKRYvvxD+MoW066rrl5vaBze7AdJL0MvZNKxS3dDJnMhUVrTCK8YKRua28WQzWDsQaVfueIksF8ZtNEj5+7wkPmyP/8Jsv+d3nXxGFHpeXZ1yczYQmEfigxN5FBS1RnBAmGZ5vaRAugTBOGc0Jl7R9x6n9DioEllb9To26ejIgPiQtzmcM7Cybb302bfH3mDPh0HPFcL9KIuKQ5+Ecd21NZ4f266rCaEMQhjyZPAOtaVtN6JuhkLV/qaeTOOqXUlRVSZ6L1+ztw4a8qJgvFoRxxmZ34FhWorqWpETWR093LVV+ZLe+tYqdxyEuQ78eHc08CEOU8vqN1n2MwRv7ctwrtUnUAGT1pIpxNOq7kmNV6MfR6tRbbJxcOUDFff8kMn9tcDx9XndOm9aQVw3HoiIKDE3boK2ogMQ5SZybpmK7WVNWuczvHXP8IKbIC7LJlKdPn3N+fsFkMsVTys7EicCXwrINGqE71VXNbrfn5VevOR7z/v2MT4tBkP4kDrm+vmQ2n9k4oqyfp9fPGWoL7hhjaOqa3W7Hfr/DmI44ConjEPBI4pg4injx7CkX52eAobXeuIe9zHEfDnuapsZTHrPplOXqjPlcvIa9QO4FHPBV1bx5c8Nvfvs56+2RxWIu/o91hUaSxiiKmEwmzGYzkiwjimICO1spVhoiCNQ0rXQh8iNdWxP4Cs8LSC+W/Pmf/oyzxZxf/fYLjmXDk+srrq8vuH5yBZ7MIAlzQxJ6L/AJraqq8nzEf80Wim1D0zZCHbMid13XcXIzf0cO069R53+t+vUjsc6Mvh7nJfqk0OsT+9Gi6u/THhwTD2vTWoC362SGtG2tgJbAxCGGZLJinkWE3pjCr/rnG0SlBmZRZwWaqqpmu91xe3NPlk3oDLx89ZbWeGTTBdF0JjHdgJel+HHMuqvZPtxCW9sC7muCgwtH7ts9mC2dxceVmHGv9fchX+Y0sxunk/K4Fd6CXrgL+zXQF57fHs++/TBG4nrbyUfTdpKzGFus9/ZGHgRiJfT25l6cA24fCKOY2hZ+nlKsLs5ZnV8QTya9P3PP1hiJ/zWtKDHvdgfevrnlYb2nbp2g2+g8Aj4eSRLz9Oml9UP0UL7X3x8DW2y4LmWec/vmhjcv31DkpdDy45haQ13XzBcZf/izHxNZwUJtRb8qWyjudjvyg/hxTyYZF9dXLFcroijs/25fYLYd+THn9m7LbpfjhyFeEPRgipvtT7MJs/mcdDLFC0OZ4XUbIKN8oNM0dU1t6f2+7/Hi2ZKnT8/4sz/z+Ff/29/wi7/+O66vzvgv/09/ju833N28pi12DPuiHekLY7xQGH5SiNKDk512FGoZMek6YY982/F7O4sOs3BtOvem5ObW/dV1y1qpATRxG6useeuLZ8VgPF+46M73SH7Ys8Wnh6+GwWLTtmAgUJBGPstJTBYF+EZ8BMfUJ2NXQV8w2iTP05LYSMu8IE1iFos5Kogoqxo/CMmyqcxJ2Eo7CAPCICDwZK5ot+6odYlTOnUiPP2Ml7tIvj/QNBRSzIxCgwQAV+C5jMlwCgv1b4Y+sRp9Hv+I+pqvXaB3f6YPRI+CS1/X29ffo4z2Wvev3EDdaoqypYxF2KdrRS1ROVEjG1iauuHzz7/Es+IrBsWlsdStWGgEQSiD61oP1DUXvPqZRC2I/s3tPS9fviUvyqGFrp0qVocfhGA6fvKj7/OTH/+ANE0wfccXMGIq71CVrut4eHjgyy+/oswLzlZLlosZGGSOyBdU+vLynPdePCP0PYzpbLfaitDUrYAO+z1BELA6W7FaLkmSoQs4LEQ5P3cPG/7h179lvc3Jsgl4AZ0Wc/N0kjGdLkgnEzw/kGs5Ql+NHqg3XdtS17V0N23B0bUNHi3Lecr11TnPnl6xmCUcjzlNU2HMDM8/BXL8wHYV4wTlBzhDc2PE58lRTx3F0Ik+nA7nfzcOo7X4xDr1OeyasBgYuAKSHpn3XCzrkfk+Cto4J/dBP6OI6k15XadOOucVdVlSFTl1kdPUNZ7vM59mpP41sW/wFXi+E/1yyZqNxUaSODfvXRsoy4Ldfsd+v6fuDFMjycD9ekteNSRpRppNUJ5VGTQRvlI0ZU4QCB25B7ds4dZ1ndB/PF+oRVhbFa3/k+4JqRXl9Y5pv+PoOISrocAeJ1VDUjscysbYUXl5+n33V0ZULnUyTO/2tuFvt52hrDqOVdMj8DbEyfs2hrpt2R8ONG2H53vUbQNeQBhFzKYzLq6eMZkI+NR1mo6WtnNFiPytzoralEVJnues1xtu7++pmgZtr6lnRz0aLUqzvjK8eO8pP/zhp4RWcc95gUlMlvdoMLRtQ37M2W63HPZ7iiJnNkmZTmTWsus0VVEQePDxRx+QJDFt11JXFbutFZ7IC0CTJCnTyYTlYslsPieIEnsfKLQWEKuqau7vH/i7v/sHPvvyFYdDySEXSqrWmjgOiMKUNEv7TmIQSDex7Tp0W9PWtS3WWppKbDWaqgSj8ejomg6tWlaLCT//L/6AH/7w+9zcPXB3v2a3XbNcZkxnE3ldFqDwlMILIgGAowijVJ+8ioq3gGAuqe16b7bfe1v/ozsczfA0cxgfLp4Nj7i8qs+tTn5v3Hn08DyZHwsC345vgNYJui8WBQzQ1k4Ao0k8zXtXCxbTBF+Jyvpjn+7OdfTsHK90gGXGsCorjocjTdsym05pjcf9ZofnB0SpzPrLCzF4KmK6WKGurqnKnPrQjt7TySl4lNi6fG7ozPD490bnqp/nfJzXcRrv6GPduPwekK5B4XlUNPaA/rcUjT1iNuTojw8NohjbadrO5bLurQoAFSrQeNR1xS9/9wWHQ05eNSwWngDQYcDl1RXz1RlhEMo+2j+/FIon+11VUxQFd/dr3tzccigrWjO+C+XsSHfT8OzpFZ9+/2Oi0B+paNMX0z2QbzTlseCrL7/k9s1bUeC/XBGGHrP5jK6DF8+vefr+c37840+ki2dFrMpCBLuOuyN5UQCK5dmK6yfXzOYzy1Ib1osATS1lUfP29R2/+ew19/cbtOfRGSkQQROFIUk6YT6bE6YWpJLdVBgio/tId1Yd+ljQ1SLI5XvWNdF0nK9m/Hf/1/8SZVqMaTkcdmSpjM1pzxaESDfc9wK8KMELQrQa7kdtWXG9OJUSDRPHAvy249vVUC0lahBXMQOSLBm7vRFs0aANmO50oSAza54tojzfR/k+fhDgB6GY/vo2+VBuHlLa4SqKMJ6H9n2UNgR0TNKIWRZbquNQ3Iy7TUMS5dqs8n3xTCzQnWY2nzOdTDk2HZX1fplO54RxLJ57SlCcwBdlyDI/cjzsUXVFLwmv6OfixNTTt4PR3lBInqQ6j87tt5784TgNzObxN/rvD1L19IlR3wH+ustrX8eofugDjKBonhS1WlruTWfI64ai8QkUAzphRnYpBpqm4f5hIwHCGCazGbPZgsl0JmapgYgnGC3CPpphFtJdq7ZtqcqSzXrDq9dv2Gx3NK2mbmWDMJjeiFsZzZPLM/6H/+5f8N6za5Syz+tEeaDvkDVNw3q94fWr16ANz58/YTrJaJuGqm5kX/B8JlmCFwSslvP+nte2Q3jYH3h4EJn41XLJ2fmZyDb71gLDtjq0Ley6rqOsav7D3/4Df/f3v6aoavzAJ45Cojgiin2iJCWbTEUwZLwVOMTMIatdR2UpHFVlkyqrHKZ8N5djuDif87OffMoXX76UWY6yEFqsS/6VwvcDgijCsz5BGBvcjeWz22DaWcpq26Pu3z0aqh/4w0odgzR9F1AeG8/K9N1HNf6wfqu+ncH1PHz7uY9tgU+AD0S2eJqAFtp9W5XUdY3pWl5czvnRR084m/hEfneiGu0SjHFRBfTx0M1T+77PNIlYrVZoo7m5uaXrNNMssUip3XS7DgKfMAoJowjfD+Q6u5hiKyXf2qyI4fGwZh2y27+MrznHjgY+7mzYszycV9MTqvr32T+iRgWdzRSGx4Tm7VgbjqVl/+pQHH7Nq+rP5+i8am2ompai8gg8hxgMgwed7mhrTd1pjkXV06LmixVn5xfMlmekWYbn+1Iodi3QDXPu2tBoTVVKB6+qKsqyZLvbsd2JTYm8P0UQ+DRti1IIbTyAP/uzP+bZ8yuUu9Za/Cu1HrFz6oY8P7K+X7PbbXoaepaKYXUQBrStpihLsQd6cokxkrAc9nu2mw1lVRNFoaXXT5lMpkwmE5IkAaOEOma7znUt1PjPv3zJr3/7OYdjQd20vaduGAYkSSxz3JZO5tvZzZ7m3oh1Ude2aLceioLimFMXhQjOGIWmo64UcTrlbClsoKou2B/27PYH4iTG8y2YYcQ6KYgTwiTB88VeQew/GtrGFvFODdXGbK0FjP6uHUPMcDFk9DgDGNPn/C6PYrxGB4BeYoiA/IHrqnhW2MYCHS6EuNERZ3JugEi3TCLFh09XTJMAz7dWZCM9jPEeOGhRSD7aNK10hYqSNIl59uwF+7Jiuz/g+4kVTPRtjDAoPAIipvMFk+mUrjz0ojxq/DGO6Wok0gP935ZibRyCxzHORS6GNLDfZB7nhadx3Fg0SQFiDfQoehlOvbTfOYbHv65h6s6ptp3aputoWtUzM05foaHTMkKTd4a6adB4LIOA6XzO9ZOnLM9W4MsMu3LX1hgRYNNaGElNbeNcwfFw4GG9Ybs70jRdPzLmurfO23U6Cfmnf/bHPH9+LdevHxEZ9huncbLf7Xj91Stu3rxluZzz4sULivxIfJOIV7cX8Od//qc8/+AFcexRN5UAdWVBnuccj0dbCyQsl0vOry7IJpllF7lLZHrmY1NWrB/2/MN//A2v3q6p65pF1aA8nyRJiGMRVozSCVEUoXxfrqO2I1faIH4DUsS1dU15OFIdc0xn8H0PozwC09GVAvqdXz7lv/0//3P+8i/+ir//u7/l2ZMVvurwMRhlxcw8Hy+MhIKq/P51O82Mtm3QnbbdY69XAS6L4hvuJTm+tVj0rDqPu2uMMb1RqdEGfA+jPYzx++oe01lu+lhe2W3AUljSQGvpCVIsBijfBhnf7ykt7q6QxaoJPY9ZGjNNIkJ/SL5OaBE2kGGT+yHZ1tb4U1D7OBHay/5evPCU8no6j+uYupMZRhFhHKH61rrrMtjOQhDawjcUg07P65NIWzcMb4dh1Z8s4m9a0ONF+03V5eMoApxEF3cNR2iVi0QDgKbs/5U95yDy527WT9EZqNqOomqJA8/aaYz3HQmUbddRt5U86HnM5nOev/eCZJLJ+RJi/Kij6ECIrr+hq6rieDyw227ZbXcUVSV0zU4PUs9KEYQhXVvx8z/7Y37y40/xfc+i3G2/uRgj84xNXbPf7ni4uycKA568uGZm5dzz47F/H9oolOczn6XEUSwLuWttkVZaP8iIy+tLVssVUSxmvrprh+LUzSLVNU3b8fkXL/mrv/k77tc74ji2yL4EkTiJiKy/zhgYONmgsfTTuiI/HjkcDpTl4JPoulue7RAaNBeXK8I4QClXuAhQo1D4yiMII4IwBs+3t4a7FpYe14nhdttZ+kjTiA/p71HN+sd4pKmo0vbJkIHBskCP7iUrcjJG2UdJE8pDGfEXc8mGGYFH7sNR9yWpUihfBvb9wCdKU7JQ8cnzFReLFF+5bmeP5vQZ3fgeca/dIe6eJ4IAy9UZZ2crfvP5l7y9vQU/tjLj7rXY8QJPAIQwCPoupjeKE/L2BuaE6WP+KHkcZZrqcYDrO+XyP2OQfaSvRkcplzGn8dElU8rN1NrIaGObeMuaPrd3s0FDkWjjm3Jvxu0r7u+pkz+jjdDD66aljURIze2BnZY57U4bTCPUXOX7hGHEdDbn8vKaJE7kWliKm9w/3bBNavFTzPOcosgpy4KyqNhv9+R5QautQJqSzm8QBMRxTNvWfPzRR/yX//zPrcG9E/yw8dNST+uq5HjYsd1sKPKSNJV443mKuqlHKuUtaZKQpD5xEtJ2LUVZkOdHUIrFfEaWTUgnE/GojWL8QBRKOz2opFZVw+FY8Pbmli++eM39ekfVyEhB6PtkaUSWxr2VVRAEdlbd2G6THgppZL1gFHVZsV+vOez2tuCUdQIKozuauiCIIElCLi/OiZNECllPWTEUI52uOCFOMvwwwhjZH+pG5jsd7dTtPUIVljX/3SsVIbZKvXKcdsYM45zJOmprB87KT/TWGS7XsjmOVsrefx1B6wsDwTIs+vUvSI8thuQm9DAsJxmX85TIF9XVHoTDxThE18KMXq8tbLRlIFV1w9n5BYvVkl/9x8/Z748E04zAs37dfTNFntuPQtIs4+j74meqRi/TxWlP3odv81I1ir+mZ1TRhy7Vf28AFe2JPf18Wl6+85XL1WwIGL7/+6inY7D/0Q+a8Y+MHuuMzGg3rSj7e30nRN6Lo6pWTUPRyvn2fY+Li3OePX/KdDaTosS9RDM0lbqulSKoLCjyo/3IBcDOC2FQOPBwlKY64bMffvohP//5H0teh8GzKKAAbhKD66pis15z8/aW/HDg6bOnfPTxB0wmE96+fUu8PwgwHoT4odQ0ZVnSGaHMV5XQosMwJMsmLBYLZvMZURz1+66DLF0cb2uxD/ryizf87rcvrZ2bIklCsiwVwUY/JgpDvDAeqLMWsHANGNfV68qS43bPYbOlqVt8L8AoDw8tftmBpm5qqrrgydMLfvqTH7Dfiz1bEgV4odcD1SoIpavo+fY1y3rVnUa3cj2MNhh7rbU2QsP9z+kshmHACBvpEdx3KhcznmM0/b5vMP0sS09BsF+LIILMa9A0dvO2XTnft0WFLVo0eKbD8zzSyCcJPWS6CmsOPe7EGHCyxn2nSvc0OoA0SZkkCR7w9vUr7m9u8ZMJumtFSbVtQYtxrwgVapQZgpiLKo72FQZiQO/5geVqyyYoP+tQ9D5O9ovicS40iqWDyjH0ClHvFozjQORULB3yYlMqQ/9k/XPb6KYMo5ks97YGeq3ynL2HweDRYihayGuh4Wojw9FOTEjWr1UTtKhhmka89/57PHn2lDCMbBt+CCidkynu53Yqa0MhCUteFDRtS113Q4LmkkzEx2a5mPLzP/sTkki6IdqYfvMXlF0Ss8PhwHG3J01Trq4uWC7ngHRC82Pez19WdUNdt2TTOcpTlJX8blXVhFHExdUl0+mUNE0EFdc2EXSbl5unsEXvdp/z97/8LZ9/+ZpWG+ZRyPXVBcvFlNDSsBydy62nx0CHxtBUNfv9js16TZ7n4tMThnhKikw5J6rv4CdxKL5G2A5XYO9PpCschBFeEIDnoRW9105rkTNJplyxOCgEtu13T/QhTRK7P1o6Y198getiu+JIUGUXy8wJRXion6yQEtghdsVpyDTDdXZFul2+ge8xXaakkQ9tTdeEaBUQeOOYoYbXZ5ygl+mpw06gYZImnJ2tiKKIr756yWG3Y7K8wKo12c15MNb2PNX7kPZzIY6q2v+MUymkT9ge50SPj7Hq4EDjGjayr/tl93Cft9gHnXWRbLwWvOu/Hp5EuSLS/mM85+K6vkpJ0YEa1poyGqVsItJqmk6KddnWHJVd0Hh5cQIORHHC5eU1y9U5vktAMfIa7PM7GnJVlmw3aw6HvTBZtICZ+/2BqmqGt2GzKN9X+C14oc9//V/9c54+vbYzXwLAasfoaUXgaLvdsN9t0V3HfD5jsRARmqau0Lud7XTKfHldNxilqauathZ13DAMmWSZFIlWAMu33XIBBFuLsAsIl+cFm/WWm5s77u/XVEUD2hD6HqvVnMViSpxEhFEgXVisHQvOEsSqmAMgOUJRCC13t92BNqRZKqIZylKnOvm5rqkI4pTr62sunwUEYQQeNG2N0Z347E6mBHGKo7vWtQgKNU0jtihtO1ikWLAFI9TK79qRJXH/db8m7f9djqHtfdd7CrpZfZd46sFXVdtcTrp9HV3VUTv42a01bAzB2U8Ym18pAlWzfL5ingQEyuDZPPDkGBeJ9nk9W1BorSnLCgM8ffYU5Xl8/rvPaZqWBJnxlVpRnsFZlnnKk5ntwEc1A4jkciDPeUa63M6CZLjXPwa5+hpu+P7oxL5znORy5iRs9QVnXznZIvE/qU4cFYpjwbYhi3c/O3SLpVg0NBp8bQhcCm/c2I2wysTGRx6fTjN+8On3Wa2Ww5y/K6C17ufvqyInzw9URUFVlv1MftNIR38MtEoPQa6Vh2E6nfDP/umfcn427+sQbW2dXLw87A9st1uOhyOBH/CDH3zK06dPiLNUKP5NS1XVBIHYv23WG7b7A8vFAgIBvMIwEvGcLCWOE4lRntcDpW7fN/b+bhuZKdxudvzudy/Z7AqMEXHHJ8/Omc0zuR8sY9Lz/L4+GZ7H0qmrhrLIKdZbtpsNXS06EkEY0tl93fOMiOFULUWRM18ueP/DF6y3GwIPAs+zThS2cRCEqCAc9mY3omA9sptaAEzfaHw/kM5y859ZLAZW8l82SncrmtECMP0m6m7Wd8iVblN3RaJBlNbagbPeyxDbG1h32p4l1dtpKAyxr8jigCiwnirK63nyIIkHjIwme/Uf3W/IYRSSJClJmtB2La+++pLd+oHp0tBWOUEQotsKtBhcagNtXYsggScFojaCMHm+L13HSDwFxZdHYYwaAsmJrw79wni87N8pHt3p64POKJyPV/64Eu3/7fVfKpsASz35iLbgErg+TtqEsO84yEqR7rGiM4paG8rOEGhBebRDmHEBRg9KtJ7i4uqST77/CbP5rO8ej2cH67qmOB452o+qLGnbtr92SkkHs2oaOmOG+9C+9q5reP70mk8++tCap5YW+TdiiF2JwmBZyqzpdDbl8uKcxXwqG42RZGl/yNlsDxgDu33OZn8knc7Ji5KqEL+w5WrF2dkZWZbK0L7dMJVqT9BWN3zfNi1V3XB/v+YzK4XvKY/lcsaHH70gm2VW/nm0CdkEylh6iLGLvCwLEajY7qjrijAIiBMx3HZKXl07mh31RLUyCJOBzmNnaw0Gz4h5uHJdIrCWAULNqqqKsq6sTUjXv68+kfqOHWEYSrBVboOwAgMOZGEwgneF2oDYGbSR7kjn1Po6Y+OR23lHaxestDyoEa1KlowiChTLLGaW+ARIEu17qgfPTJ9AjJIOm9DJa5HXHgQ+fhgRxzG73Z6vXr6irmsmRooMjMiVKTPQLKW7aOn0LnEC6AEkD9/3Bk8oC1TJGPdpsSbHu0Qpt1nSF40DoHaSEPa/wGmiZMzg2WuByoF26n7ZBslxrBx3dvsOqXi4aYum94msTZTaztBqCFFWOMa5VdEnWwoNymc6m/H0+QvSNAPl9Z0HNz/tZNnLomS9fmC33YAxJElEEAiIdsyPlhI3sDZc4q4UPLm+5A/+4Cf4nrHUzdZaPHS0dcVu/cBmvaGqStIk4eLiktliTpyk1lqlo6qtSrU2bHdH3txs8Hyf3T4nm6QkccJ8PieKkn6m0BNOJ05UpLUdxbqWebH8mLPbHXh42LLbH2k6AXcnWcSLF09YLmfWn9OgTUvXDjG8B0scg6EWT8X13QOH7Vao1PMJcZrioXDWQQrszG+JFyasLi6I5ws0irIqqOsS0ARBSBTFeKF4jbW9BdDowz6mte4TZDci8V07gpFx95CdmL6oGB/m5GfoATF6gMv0gJlTKXcggivAXcNAMawZAOP5+EqRTgxPz2dMYp/A93qF/XcVpk1fNDoACAT4LMqSJEm5uLzkWOR89dVrG1OMbSwYXPYwkGJ51P00FhCTcQ4R8opssTgw3qTjqof4+01Hn4c68H50Usexm5MvHp37x2XeNx3jADkAYyjHEhv/KVug2TPSaqitAnSgjVAaceq2TjGVPrcIA4+PPvyAT773CUEYyH5jabzaODXPnONhz363pShycTSwTRb3f0c19vrX6HI78JXh2dNrvvfJh4gPrRLGos3l8yJnv9tRFgWBH3B9fcXlxSWzhbNhg6Iu2Wy27HYHojCm0/Dll6/wQo+PPv6E2TIlijMLhoXCdFDeaCNxZ83FJ2kAOLXnu9sNr17f0DQGpQyLxYRPP32fNA1wOgJyHS2d3flzaunu1VVBvc/Zrtfk6y1105BmGXESozwf3Qxq5HKPQlEUtE1HNp8SpCIsFto6TRTNa9kT/cC+bt07ELR1Q209GyWHkWvqRpu6dvh7X3d8a7Ho+7KB9TeeAzv6jKd/wH75qCga3eTG8/AZPI3Gs49uPkoeGwKQZ1eUMppIaVazlNU0JY1CAt/vE22vz52UHQYdilN3gdu6li6mwRq0h2x2B97e3NBUBV2T0lUlPhpP22KlFUW5tioxuhVrEN/HM7KRBKFQg5I0xQuCHuHvd/kekRifkyEAn3j8KL4BObK/cfppOOnuS8a/a3B2GubkN06Tpx6JGr8WRZ9MKYUsULvIZaM11J2h1cbOv9GjL5I32kCvDUmW8v1Pv8fTp08HFN+INUrbSBt/v9tY8YUDbdsKdS6OCcMYg5hcV5V0+noxI3sinIz3xfmS2TSjrsQbsW5b6kZT1TVFLnMuSRxxdr5iuVgymSS4/dK0cMwLXr25Zbs9YFTAw2bHw3pPHGfc3T2QZTGXV1ecX1yILDLm5Ny7S+FmANw93XTiu7be7Nisd+hOE/geH7z/nBcvnhHHkRV6kpUzJIlW9c16TBbFkf1uy+FwBCDLUrJUqA4gCRON2Lo4Zdr+WpxQu72ThN4/KRRtcd3UFGUpc1R13YMefTOHgXb5XTrkPratO3OCxvTJzXg4xdF6wRAEYIxsENrOcLl5lr7r1oM6Nl2xiHzdtjRN19PeQh/mScDZJCINxNpCijeXPDmUfIi2rsAZKImgPEHFwzAEBXd3d2w2W7BqlF3Xojuhm9J3SjvxmQ0CsWJQSma33WZu44LveXiBb4E/TSeBQtamA5jsOerHGEZg1jBr4gruU6G0ESQ0XKDRJRmSKE4efDzD48AyxnEWR//1UV6A73kYBzZirRI8A6Y7uWRCF4bAiFCarxWdJ0Wm73vEccSz5y94+uy5ULv7Sy5JhkiyH8VOY7enKHOiMGCxmJEmCVobjoeCum76RLkXrbH3hu8pLs7POFsuaZuGrq3otMx2F8cj6/tb9ps1UZJyeXXNxcUlaZr1YkuCLHfstke2uwOHY8Xtw5bXN/fMphOquiMIIiaT1MYmy0SwYwMaRmwNQeyroqIoS47Hkv0+Z7s7UJQVIOqJT67P+Pij94iTEGPtFHTX0qlmKBYN9rWJ0FORHyURPJakWcJ8viCK5Jy2TQudvXc8LXFJdxjT4YcRUTKh1ZrQ6AE0s4bdoPoOmVNBlEKx7YvfMa38u3q4+Tx3uPg2jPWq0bo5TeTxFN909GC/vUdcx7bv3Fq6ceeyVCVzjR9eTXh+sSAKStnTPVcwuic2fR7V54p9h9NQ1w1lWTKfz5jO5rx6/ZqH9UbuXSOzvEprPOOoxRqjW3lc0bMqXAQSxpjV1AhlvKhvSDAUzAOj4uvPybj7+PWEZvPu5/Hebc+RbEfWdkONY6Rjd7jnU/3+MgbG3InsoRnpyODKRddZrDtDZBBBlPGpt9Wm8hUBHqvVkp/89IesVqsh59ACWDV1TX48sNus2e12VKXMwUVxJEwm36e142c9Q6Tf1wTxUygCz+Pq6pwsTeXeQeykyrLsGwu+73N+fsHq7IzZbEYUyThQJ3M0bDYb7m7uOR5yyqBlfyj56uUN82WG8kOyyYTYCi7KOexXQv/mhzlZN+NcU+ai5Hp788DhUKCNR+C3vPfeE97/4CmeP1xvg5xruV9El6CqSpo857jfcXzYku/3mA6SScZkNhPP3sZS4R1bzM7/7vOSIi+YrGYkUSjjD9YmznQdVVlSFyW66wYQznS0jbz2qqpoXeHuWCIW2Dnt3b97fGux2BvSet5JDjW+7fvbsEdyB6sMTw0/MfjV2O/5DIFbuQvjbBPswL6W+UfVtSzTkPevV1wtJySRZyW0LV2KIVAZ6C+u7nSv7FaWOUV+pG5amE0Bw3a9Zr/fC4poxOvHVyG+T38Cm0Z8oTC2xet7eFoKH98PiKJYvLa8oA+Qrks6vu/ka9dxVH2B0C+S/keGZMv9+pBrjp7z8YY2zmxsgtbP8bjnZfQc7kK6TaFP6Cyf3yanBiM0RS3dg0YrqtbQ4pNGklSqpu3VAlEeHUJfvb665KOPPiJOU9nklXSRm7rmeNzb87+lqmp8XxSr0iSRRMVTYsa6P5IXJU1raaidxXqNQuHj+yFpkkpXsSopq4qibCirmtZKQS/PVpytlkynmXj0KG03EaGgrjc7Xr29Y3+sMPg8bHZsd0dWZzVJmnF1fcVyKV5mWnf9OdY9UmRGwjCmp8Eej8LNbxq5j4wxZGnEhx+84Gw1JwzoZ6F01/Uoj9aC2BdlSX48kOdH2roiCEOm0wlZlhFGEQpsggNtpxEBDXvvG1CqwQ9i6wt0KgjlVOvkltCYTtN20lEsSjmPXdvaDd3ScpRC+aofRv8uHXVdj09Pj4M92j5wVO8huTCD8IEZqPGenQPFDP5/g1jCkAg5SlxViahH4GmyyCOLFLFviHzPztx4PTJrQGYNEGqV0YNibTMS5zCG3mPv5vaWsqrwvFA6M21D5weAb4EKq1BoY74onvp90B+ilALlWUReiiXVdkCLo9LiidiZnKpRoqJGnbsRONiLCPXH0D3oo9UjzGtI0syIWj9+BhfOXBLiZjpUfx16YTX7s53WGE/b7uHgJ+fivgjiGUCurefbJMf3WSyXfPLJ91gsVnb/0xgjoxf5MWe/3wngczziKcVysWS1nJOkCZ5S1LVQgLpOE/gBTWegG1QEHUCllKLTnexldW4pp1uO+z3KGC6vnnL95BmLszOZdbEUf91Jtzs/ljysd9ze77h/2HPzsOFwLKwSeEY6EbpoEAT2HnWKonoosJpG1HvLmjwv2e/2rDcHDsecxs7ueMon8j0+/uAFT67P+qSEru0vnQPwXTeirsSouyxy2rZjNp8xm8+J4xSjDW1d4/QEhtlfz/pLtlRlQVCWMg6gdV/kjOfMwBUeLgnsrMCNnft0N8940X/HjqquGbMc3Gpx17uneFp7mLGQl1tYDmDuD4UAksbYfcUjIkDraBCjwQmqyB7pNzVZFvOz712ySkaigGroPrlY4IAp0+lhzMN2MPM8p21a5k8W+GHAy1evqJtG7mE0ynR4puvpeMrSt9FCEx8U+cEBrG6Uw3OdRxfvXW7mQOuvO/rTMhS5Tv1+mOt2heGo8Bz/+gh4c9fl8R8ZALUxkDi+XtZGx8Y77PNqrTHKxTnTK6I2naHDFqRKyZiSsoqoviI0PioK+fCj93jxwXtCjTSatjWgNXVVst/t2G7WHPc72q7FDwLSNCVOMynmFFRlifKUzINbOrs7F+68KgVxFNnnre1IT8kxz8F0nJ2tuLiQcaAgENqoAxKMkVhxe3PHZrOj62C32/HqzT1vb9YsL+YsVgvSLJX81d63bu27fd1gx6qcimtTkx+FGn9/t6UoahQeQRAS+4r333/KfDnphegELNWYVvaCpi4ojznF8UC521McD9RFje/5ZGdzJvMpXhBSV0KRb1ube7juK4qmqtltdpw9uSSMAowFb5RSeGFI4gf4QUBZFHR2P2/tqEFVVbIXSGIg3WAjzDWjdQ+IfNPxrcVi52YJLdrjRAA8NztjK8JTYEOKN28USJyakNGniLOM9ql+YShEyVHZh5UHdIbY0zw/m/Hh1YJlGhB6iCqfXdCAVO/Ws6czbnZHOjNlVXI87NluHjAozs/PMJ3m5u2NFCp2Y/SUIZLhRHTdUTcVXd1g2hpljFh6eD7Gl2TCDc0GQWiRW68PbMrR0Fxn5mvjymkBJ7mlCya8E5BOfC9PdrXTxKpPlGxi+5h66j4p99kGB0c1862SmRScXi+FrPFo0JRaQRCxOFsySSOhHVSCWtRNS922KN/n6dNrFquFoNB1hTGGuiotZWlLVUjQWC6XpGlCmqQitW2TydKU1E3D4XCkqhoaO6MyDq4u6JRVjW5F2bZtGzylmM0mnC2XLBZzoigUIY9+hlY2nTwveHP7wN3DgWNRU3dwPORUVcN77z3jvfdfEEXhSYGubFLRz22MEl5t0Z3NZsNhf8DzfJJEBp3DIGC5mHF9dUkcxXiqRWZa5f3WdUNt79fcDoHXdY3nKVGUnc/EDzIU9dKhIOj6NSXoXkvTdaiyZmIgnczwAqSb4gAlHDppZwCMyMeXtlhs7Xyv75B5Kx0tp+C7N8ez362HgtgbZvYcAjdOXACr8ud+W53EO0/Ri1zJd82wzizm6HkeYeCR+SFKZSIrXlcEpuZ6GvP0bMJqEjNNI+IoFHpWX8nqIQA7EYGmpWkbqrIkzwsO+z3ayJxXUzfc3z/QtZow8QVEqxtCP7CdGW0VKJu+6+De/zDfp0Zgl7UO8b3BW1prtKfxtKJziYqySP74eWzC1HVdT/fT2pHY5WydgGL2MF/z7ZNDcYK8O0DOfX5HrdYmhL6l8GAMumugtaJkFvFWSs5FEHiEAQS+IfAVQatoOwFl/CDm2bPnPHv+Pr4fWol42ZiPB1FOzo9HQIv1xGrFbDaT+TujrSBNzeFwpKyq/qU7s3hH92ubhjwv5Lk6xWG35rDfYbTm/OKCq6unzGdLojjBoKRY1Y0FkgxV2XD/sONhe+RwrNgecg650PafPX3Ck6tL0iSytFNHudO2azDMvNRlyfGQk+cFu92Rm9s7qroTStdELCuM1iRxwIfvPyNLI7quQHfSDXUXs+/wWZ/DqqpompowjJjPMyaTOX4YYrqOuqyG8QR3/3kKbUEvYzRVcbTeYqFL9TDKgtF4fYfUfWhr4O3o9Q7IdV01e2N8c9D4R3oUZT4UZCPhLc8CigrQykNp3SeqPSCmhk7jmFqplLV1eKcrK+vfDyQv9IHACDMi81s+eH7Js4s5oWpHMXJ8uLhr+jlVRxfuOumWHPZHPOUxn02p64ZXr95IXuh5KNOhug7lt6hOi3hL16J0izHC5BmrnCp7P4lo3Eho0b4X0++c5uQ1jll144yrL4DM+FnsLegqk1G+577v3vmAXroHDH2Qe3yu1PChTuL3SGTIPrs2whrB5uSd1lSdRithjfiBiDl6tpCKbXc+ySY8eXJFmmUWZJT1W5YF+82GzWZNWRR4niLNJkxmU9I0w48iEanpun6ecX88UlaNpS9L0erebmdnEquq6ucT264jyzLOzs6YL+aigWHvV6MHH0/ntfhwf0/XanSn+OrVDV++vKFuGj744D0W8ymBPwC5oyy7vxbjjmJVlhx2R+7u79lsdtSNJplMmc1mNK0ii2qurs+Ikggv8Pq6pGs7urqiKI4Uuy3l8UBdlLRVJXPYizmr1ZJoNkWhKMuSpm6oyxptpMaRW8gCLa3m4e6Bi/0Vq9VKiu22672PvUA8JbUxVLqwXvXSMKsrOYfjuVu3/ypP9Uy1bzp+T7FYy5AmPp290RQCSDgcw+jh1u4nGx0yYU+9Z0YCHAo71+euy0ALkdrKBnnLcffQTOKAZ1dLrpYTQkQK2w/8YUGATVBGgcUm4F3b0lhlOKHoZLZr1XB3fy9CH0FEFPpEPgSqs13FitbObBmXnA2VFc7I9vToV3T/ryEw8LWB1B09AqrsWR5aG6NzNcga98/gfswFDte5ZAg873L/h0A0IK+jxFgN3UUNGM+zsryaTiuqDqrW4EcxZxfn+MpwPIqZ6f6QQ6UI45j5fIbCkB+P1E1NXRYcj0fqqgYUk8mE6Wwmflu2IPGU0FSbuqbTmt3+wHYnXmaiyqX74NZ2crPv9wf2hwOBkgIny1LSNGM6zZhkKVEYjpAjTdM2tHVD12nW6x2vXt+y2R8p6o6irCnzgudPL/jTP/kjpllCp8W2wOBEk3QfKFsbnBqrjnU4HNjtRKUqCAKmk4yy7khSoTusVgvOzxb0A+ZGuoNlWXI4HinKkrqWRBMMWZbY8zQljh0dRjHQHe2MpBXn6bqO2iaVZb3leCxYnrek05kEE6dGC8MQN3Zg3NJetZaCwfc9wjAg8IOesqr16Tb5XTnaVmhxnudJvDJ+nzD383qcrqXTdHKg6rr7zFG4xrmAi4oy6ytrLIpCsiRktphxnvo8mydcTSOmodeDDL6lhUuAd5YAbu7XdYQLjnnOfr9nu90R+D7L1RlVXbPbH3BzmMpoFLK5mlZhug5nFN/Hcwv89d1Ahmglxa4ASi6udU7x1dOoTmFh6dNkZoQeO5puD1s4IObxyX18mPEn+zfM+Bq8k22eHMq+r97v14r1GL+zatce2sjcuXRAZOJJCsah2A07j7bVdCjCZMLVk6dMZnM6bSjzI4fDlt1my3a7RWvDdDpluVywWq16Sw2MpmskDu32e7744iu2253Q9mwHpjOGzu2NINf3cCAKJkRRwuVlxnQ2Y7FckiQTfMtw6brWgrByDXWnuX944Le//Zz1w46mU6Lg13Wcrxb8/M/+hPPzZU8BFBXMrhcw6SyyXhW2k7jest3ueVjvaJqW1fkVi+U5x3wQU5ispqzOFnR6sKVoqoq2qe1FdDOQ0q00IBZWsznT6ZIwlNhbHo80VU1TlcI4ssWKMQO4atqW6ngAzyeIU1QQCJDtigAGMLafSdWnPrKuE648NYLDvuVm+kd6dLpl0Htg1KEdOlR9IsegATEUlX060ucORlkWmlvjPIKy+9hof8PzWMSK9y/nJD54dKO//ficu/EV2W/bbrA4KcuKIi9IkpjJJGW73fP29o4gCOm0FIfKdHi6A2PV+HWL6lo7t22kqLQMNddZVI5+zQBM97mcU/Mzo3Swz9ke5X/GNQ1Ghr2jpHAQUjtlV4wLRRe3R9/52jjZ14onnQDvpAAGQweWhmsBKbtX1Z2NZ2lMFAm7q6foKwGNozTBD5QASFYMqjgcWK8fOOz3tG1LEsdM5zOm0xlxmkozxvMwaGko1A3rhzUPmx1F00i87c+Z2x8M+/2R4zFnsVwQxTHLLGO+WBAlydDMMJIv6ra17AkpntabHW/e3LLdl2wPJV+9vuNYFnz6g+/zp//kD/ED+hphKJ7cjLl0FJ0qf3HM2W02PNxv2R+OBEHAcnWO8irSbE2wL0kzxXIxl9lWuy92TU2R5+TrB/a7HW1V9fdcEMesVismV1fESYJW0FY1piipyoq6rPCCBN+XhaM702u5HHYH3r56QxxEtKalbhop5KcTsskEPxRmSBP46ErmGCvrXevWcX+PWp0X3/eIo/+MYlG3rUVYPZzucJ80gSS8muFGt21g16kad6uUDT5KgdKWymaLRTfndaIwZYtFhSaLY87nEyZJiBI2AYFvh6Ed9UGJtcNoRcutpzu0bqnLgjzfE6cpcRRR1TXbzRYMJJHPappxtZwSBJ4UH62cZGeF4DZRbEksBYuhaVr8usYPwl7p7mTuwYyWwfBlfy7HQdk99rggdCWwS0jlae3rUm7DHBeGAwXMbZDvFIzumrzTaRxUEaWYoBdIcQh308GhbNgeCxZFRRx6NG1jedYdTgVSKUNdFegqpyxL6qqi6zriJGEymVrOeCqFiBXwMD31SpMXBW9v7tjtj3RazrdDybVwJdAoofI1DVESMElS0jQhS1OiSOwBtOXnOwGXxqqudm3H3cMDL1/fsNkd6QzUVU0UBfwXf/pHfPDec7RuJSnW0gnB0TzBmjoLqrbdbNltt72i1HyxYD6bEgQRd+uDLThhPpuTpqmlitpgmx/Z7naUZYExBs/3SLOENJVCMc3S3psSRNVLt6IeW5YFjQ3Aju7qlEursqJppMuLUkRJ0s8hRXHUo1/DkpG1KwiTXA/XVfSd4An6BFH+rhxxlvVxDVsc9ICYLUJ6nj+u24b96SFHUMb0oI0l1FgquKNWDuvTBayiLCgDD3+W8mK+5Gox5SILiDzEk3Y0a9qLd1kBpNYZiHdCp2saERypqoogy/D9gLysOR6OErVsrIyikDiO0NrQdBqxPBKk3R194uEyQ4dwGjeTofriq1dPHQFVJ6Ft9C1jjKVlDYm7w9l62q+T12eM0jPksV93vJNBudfnYq1Lnizabq2PfM/DBCGdtUaSQkniXN0KjUe6n1bcB9lcfV9jlE88nZJlmZ3j2/Jwf8d2vaZtWqIo5uz8nPOzc7LphDAMpVDpWmtNU5PnOV9++ZLffvY5h7ygabv+KjgBIG0Mre6s6BXWxmJOmqTESYJv2S1yn1mCsk1CFVDXLb/73Zf89vOvaBrwArHJ8D2PP/6jn/HjH35KGIQoz+3H8hxd1wmq3zRUhcS5+7s1m/VWBLv8iOfXzzi7uMIPEuL4XpIaYLmYk8QRbVOjrc9aU9c0dSW+nnIHyP3g+WRZxnx5xmS2IIwSEdewSHtZFrRlKV1737fnUFt1xUZm6ZuOum0J0wlhKobUXhCgtY/27Xwu9OtFZh0HVc/+BtNDkvwdrBXtWvV643vPWUu44u9RTuIOdz91Lgz20u4DImZsTmc/Dc/VFy8WbFIwT32WiY+ilTxj1OEbF12OxtrqztIWLXW4bYV90zRcnJ+Rpgm/++1r9ocCz0/pugZlWiJaQuXR0dGZjs60aN0MxSKu4HOv8evfuwPGepDiUaxk/NodUDYCNMaxX+77Xhawj3sj2KvPY3sK6Tcd/fUa7U9uj+qL34EaCaqfG3Z7itKGsu0o6g5NiBeGBL5bB8L886zVUFEU7HdbPANVVbHbbDgcDngKZvMZ8+WS6XRq/Xr9PndsO01b1WzWG97e3HI4HOncJVD0BbQD5Oq6wWDIsox0kpJmGeFofhRjbMHa9LmYtsXiy5e3/Pu//SX7o+xVVdPx/PkV/+P/+N/z7Ll4cbvzPU7VjWWKNU3N8Viw3WzYPGykENYwn81YnZ/jBxm73SvqSij+WZYwnWbyfJa5U+13rO8fKLcbYbv5PlEUMZnPmF2cM1sswNqueZ0W/9dOy3O2GuXbhoAaBMWwINfbVzfEQUKUBtRNgzGa+JjTLmuy+dxSqAUMEsBvKBRd7jK+XX3fw4RjS513j28tFqv8iBdE+F0rsx2Oy23/isb0CkXatUnMUFRKUNL03GmGAqnvIpqBsz0USRrPSKEovHLxdgqssSq+IgwkgUXyV0s1Mf0GYCy9p9ND21WhiKKYIIrY3K3Zbray8Xse1xdLvv/RcwIP7u4eaOuKqihpbWLUI2jQF7d13aJUgTYim+55vt10hiAyvLchKe/XN6MYqrDFgAvE8Lho7APw48fGD9uV57oQ7pwP6JQ7Fwzvym0YNqj0FDzPs/OKHa21Z9Ba0ypFXrXcbY4kUcAsjeiaitqi5No4EZuaohC/rq5tCYKA2WxONp2SJpm1G/H7c+EsTkTUpeDm5pYvvnpFXtX0okhOOtmi5sZAYpGmOJECS4aWxcfLGKzdhrymsqyoikJodx2sNwfu1zuOpYh9667jex+94I//yCoO9vLuljpn6cXaiADN8Xjk7vaWzXqDUjJ3OZtMmUwneJ5H3bTkVmQnjiOms0zWVl3TdQ2H44Htek3d1IRhSJImJGksIjZZJvTZwC7T3gJGupjb7Y7iKM9t7JyitmIYnrJUYrDqww1tIzx1Z0sjKlrmJEkPw4AgCE7unRNKoqfsrNZ36wgD8Z/sFdvUQLdypc/j9eNuXEmwRhWPK4LAyomP/m2TklNKuUiNr7uGTRZQny/wvJgw9HrZbUkulHR7cBQ66Ypoi2j7vtejx77vE6cpQRiRr3fUdYmPyGUvZlPef/GC+WJBWZbc3t6y3W0FhetaRoZk8qmfXx5Tr20BpbzR+xvAPvMoWJ1Qs8ZFb78HmCFZl5/qC3V3wvvkC3gH/GL8u6PE0xaIAo55w4dTQFRKCnIT4gUhKM/OqUhXoqw7qkbjBLoBlK/wjbIJmFCE67pk/XBHVcrcTuCHVp1vxWw6J44T/EAUUp0CZ2PtG/JjzpdfveL2bk3dtCLQoIYYrh1Nq9NkaUKaJSRpShJZlU9/EI4ztksmc6lS6DVNzYNVZF5vjhgVEEaGttWsVkv+5I9/xnSaopSl+FuxI4fS13XF8Xhk/bDh4e6B/U661MvVGefXTzk/uyCKEg6HQmhUTUMYBlycnREEirap6dqKphLAsK2rHtH3goAwTskmU6azBdl0QRgngKKra5qqpsyPVGVBV9cirqSl09q2LWVekucVddOh/IAgLwjTI1E2IUwSgii2iuWRHRdR9t6VTgRGSPW+8462QJjRmr6C+o4dXVta4SIfX/lgAozyew+7fq2qx5KFQxE4zk1MH/PsN8drswetT59LGUOoNEoLG8jFWtQQe90vuHgxpgw7emBhKY+LxQKU4uWrN7SdQQXyHuJAcb2asphlFJa9sz22mMZ2ux24jy2K7PWWVNb03Sb6x12cG6KbQg3+rvbNnHZo7RO6gtSCdu756LeC8Rkann18nNbxQ17bg3HjwnxcMI7o9yiF3/m0rdfH7M4YmtZwyCvyyifOMgI1sjuxz6O1Js/33N/fYVrJ1eq6Eu/o2ZT5YimzgJYi6opAp1Wx26x5/eo1d7d3lFVtmxqgHgkheEpykSzLmEwmxGliZxPHz+msvFoLRDU0VUWeF/zd3/2azz9/TRAvSDPxdv2jP/kpn/7gI3x/YAUOhbsFJBoR0dlvt2zWG3a7HU3TkaYZZxdXrJYr/Chku63YbvcccxHwmc4z0jRGtx1tU3Lc7djf3VMcj0BHFMVkixnz1YrJYkGQpQJ6ua4muh8PMZ2MuRltab5GhL1MZ/pGTpmX3Lx+y/JiTmBp92VeCIhsDJMsg14R3+Z0yFrtc32LR7gcLwi+PdZ9a7F4uH0jxWIU4YcRnlWG8sNwnDLhAoWyu7lCUAyMsaiz/KwxDLMvelgww8qzq8YmEdp06KZmvzesNzuKeUQWeNJVDHwC2+6VNvpQcBqtLcIgSbTvi1fOdDZndbZCKY+3b284Ho9gNFHoc3VxxnvPnhAHHufLJUmSkMRf8bDZcywqiqLoZ8QE1TSCThkRdTBG5PfxvHdQp9N/2UO5wlk+BmTe/rA6RexQjm41DiLD9/oX1kfZr7/wrjhUo6DsefQ0lJ6vb1UPUQodhCivthK8hhZD2bTsjiXbQ0ToKQLbhQoCH206wkDEMXTbEsYRUZYRJ5IURFEinTIHOhhHGdZ963+32/PFl694e3sv4jYOkGCQdFYKAl/x/NkTsjQhiSMxfHaAhmEIAlYeeL/dUVcFvu/RdopDXopfmj2H00nCj3/0PZ5cnVkvMmhbR63q+o5OU9ccDwfu7+/Z7/ZEccz5+QXL5UJQfqBuRMV1fzhgtGY+m7CYz6jrim1bkhcHNps1dVUzm02YzedMpxlxGpOmMr/prBxk1lLR2Y7hbrvj/u6esqhQiPKg5wf9nuF7HmHgY/BG50MCrDJ2qNnSaY39n/IUoaOM9MX5cJ8qJb5Yv28Q+h/jsX372tpC+NZn0NKivQAvsL6vdu6pB5+sqNdQLMoxrP+TjAdGy7nHko0IDRjTUXSau/sNN/OUaWAI5hlx5Nv9XxA2d12k4GgwegAGPN8ntDMLEw2L5Yo4TTgcj1RlhYch9BVPnlzxs5/+iLOzM6qy5Ne/+S2/+vVv2e93dI0ZaFa4Qmsozvo5w07TeYMlROdmd/uwfpIa2vM13qSHruI7sfH3Hurk09d1AlyxNQbE+sUx/tr+fd/K5Hu+VbXWHY02lLUiLzvK2hAnSoySnbWQAaVEjbssCnZbAYzm8wXL5RmLxYooyQiDyBbbtgNsLSLqWvy6NlvxJyzKQgpFe57dJXACM2Hg8ezpE2bTifi/BUHfdehnsTunOtn16oGbzZqXr95yzEs7ToAUpV3L06fXPH/+FKWctZWd9a8rmwjWbLc77u/XPNyvaeqGJE05Pzvj/OoZ89UFvh8KFb/dsdvtQMHl+ZIP3r8m9BVtXdA2onJalSW6bfE8nzTLmMznZNM56WRGnGT4YYTBSKFbl5T5gbI4ottG9ggz0O/rStSu82NJ3XTgBwRNS9C0RE1DUCVESWq9ZuXw/AHcUEqJ6q9nY6NxNjaDd+CJNOR35Hi4+Vz2ed/HDyKCICIIYoIgwvMC66fp2AJ2ZEENHabHZ8TCQ33R4oo+GAoppYxV1bTnumvZ7Y/keYGZxhgv6NOeXgQQhlxQ65FPt7YzbaJVkKYps/mcoqy4vbsX1pHRoAzzacKnH7/g+dUZZVVxd3/Pb17e8vZNQWlc4Wl6exqJZxrPAiaqG79/V9yNMzpbYI+qxXF+Nc7DhkJ7OHcOCHx8DPy900dHf+Tksccl5VBUqv7nXZfR8zy8LsTzahkzsnPATWfIq4bdsSKbaGnI9NfUPpc770VBO5kShgFJkpCmKelkQpykMiLm8i+GQnG/3fL29WvevHnLbn+kbR8JSrlXr2Q84/x8xXK5IIojcT5QVgfAAv/OQkdYDyX58UhxyNkfjry9uafThjQKpHEQTPje9z4kjn3AzSefAhFVVXHc52zWa2s/VJEmKdfXl5xfnJNOZ2CgrBvyfMd6vaOqK6I45PryAqUM+XZHvtuzW29oypzAD5jMZyzPzknPliTZBGVzLJerGyPdyKooqYvK1kmiuq1bh+FK7ul5HoEf0LUtRVGSlglhGOH5MiJUVRXsdngIndjzPMIoJE41Xu31FlEO+JY4qAexw285vrVYPN7foLwALwhQfoAKQvxAJIWlwhjNDbpkclT89IpSzrfLiQrY1rSybe0+L7EIlOsg6a6jq2oe8h2vXqZ8cD4hnaf4Hvj2b7miASwaiOsqdj31z6lLThdLzi+uKKuKz798SVmWKBRx4DPJJiRxQugrFouQDzxROfrsq9e8fH0j5sNthzNLdwUOgPLqAbEJAlxh/HV0UveFm2fyTgIL9rxIF0HZcyKD4zYo4dxxToPO1x3jWGVxppMi1T2/bBwi3tMHkxFtwffHimDi5dagySufsm7B84jikCgUqf6qFg9A2Yg98bXMpiTZhDCMRIp6hDhhaad1I7TK4/HI/cOam5tbiqLsO8UOw3TFUNe1XF0u+emPf8B0IrRToSbb62Pn+FyhuN3tWD884HuKLI0xxicKPRbTCZ5fg1FcXa746IP3CHyF8wXVWOpSKwGqKiv2+z2bzYamaVidnXF+ccF0NsP3PCsVLpvQMS845gXL5Zyz8xWXFyuOxyNFcWSzeaCpa87OlqzOViyWC9I0JoxDfN/RTiWYK+wQei20NRGhEZUuow2t5xMERmbbcAIQQrNz86DiEyc0tRNDeazysdG91DwYuk7AAbdWwcmKf7sfzz/G4+7LX8tasB6CopYZ4Fl1MT+IevVMz1LaZM1bxNYp+fWze8omXCNgxv0xNcx2iwdZC11LYzq2u5aXbzwyryVSFyznisDShbUROkpVN1RVTdO0YDvDbl2LvYFhMptydnZOEETsdzsaa8kQhhHz2YyzszMZkK8rdrsdr1+/oTjuqcZxzcbjHhIcJeqd7lDdEOcG2w6H1Ns3CH2cORHLcRlIb9l5ivaqcdzqE0+G3+tfH0NiOuomnqRQo8R18O3FJqKWfuh54qlmzYxlbXSUNRxyRZZGTKe+LSp96UQZh9QKTd3zfObzFYvFkiybEicJnhfimB3adkWaqhIj5lw+bt7ecn9/L5Rx+7NisCxJk/F9OuBsNednP/sJ89mcIAjwlKWRO0Xm3rtYbC32ux13d3fs9wdMp1gtFqw3Bzqt6DpDPPH43icfMptmaN0IVbTresuh/Cj0+Nu7e/K8JAgirp484fLygtlsQZxNwYusNUjDer0hz4+crRZ878PnvHh+hac0VVlR5kfy4x6jDUmSMp0vWazOmMwXhHEq3VHlWRGThrauKA97yuMe07YEfoDucwMbt3qAwtKrfJ8gDImThChNCaKYIAyt4qEFaPrCANuJD+2958AQCxTUDa3u+o7Rd+nID2v6daS8ITfzQhvLfFAyyytxbZQX+CLoF4ZiheBbW6axUM64cnFdOJc7GCNqpF3T8qDXHI45XRsSBLYz6WIjAFYzAac8bvoPY3TvGXdxtiLNUh7Wa3b7g/UBbqTjOJtwsVpyebGk04bZLKUxHsVB9BWEfebiFgKaKCWUP6+178cqAyvnrzskXpLvO7BQ3ntfZJ8Ui99wIykFyJ49/rkxQNt3BtVQuH19KTmKeqM9x+V+yl5Lz1MQRLRBTavc2JOmA6qmYXOAybQiSTJ8pFDu37FSBEHAZDKROWlrIC/2DdaAvrdXcU2AhuNuy83rN9zd3rLbHSjK2jK+VJ//j99JNkn40Q+/z2K5kFjnZhSdbkTX0TUyTpQfxI4oPxx6DYcw9JlNM85WM4IwIElSnj29xPddkWhBOa2pm5YiF1HC7b10Ez3f5/rJEy6vr5lNZzJmpmX/beqW3fbAMa+ZLaY8ffqE58+uKfMDdXHHYb+ja1qSLOHs/Jz5xYp0OkNFUU8JlntpOEdtVXHc7WkrUZCV92FBQJuH9bPzoY9mcLGRvESBBfyaWoTuVGDHLAKfKLJjCto1CNx5YAC9f0+s+9Zisad06tYmRT6dtKEw+OA7vyrfqgi6gsTrkynlBRbBkqIzDEOCMJROpT8kD6bPeUxPBRP1nwbVNvgKAqWE1tW1glJ58ne00dY8d0CkPCVdgrppeP3yNS9fvubDjz5mtljy8vUNt3d3o3tT0WhDXnfEgSfy8xpCu9m42SDd6UeJFD1K1rZNb2b9TXFhXLiNE56TgrEvJM1wTiwC0f/2qKGIGU32uDj9NajT+LmdupnrJvq2i9jznE+Ck9cXk8re4K6wqOqGsm4xXkCSJXhoaXlXYhQahuIBk6QTsumEKBIze5Q3KIq6zp9TnDoc2G537LZbjsccjCH0fZvgaNm8PbfZw5/84U/58Q++R5pE+IHcc30yYeR5i8fF3UKUCI2G89Wcjz94RlFrmtZwcbZguZjJPIOy1Bc7m1oUJWWZczwcqaqSIAg5O79gsVyKaIUS9UDVSqFa1zW73Y4o9Pnxj37A5eUZk2lM1zVCq2pb5osZT54+4ex8RZxEhJETM3FhXq6uMcKjb6oabQyT6YQgiDjuDxz2h754CDzX+ZNzoHzbGbJFi3ZIlh7oPE5psa0bGHWUYdj43OanUP3sz3fpUFY4y7Sj+sV+xxXdkjAFPQBmLJVLWQEglAVdbNfHAWO+7ewOnbURg0J36LYRS4GupWp9fBYEvpKkua1RiPmuQ9OburFCRELlM9rOABpYP2x4+eo110+eEoQhh+ORV2/eUtU1URhhTMdhJ11p3xcxlKpucJYZ/X1hPcjUSJdBYo3uKY6MQDHnCdXnUaMY1XcpxkW1S7w8m3wpl+yMWSrj5Of0mij38/35HBL+k3j3qEjtlQHVQIwzVvXRt13ZMAhokXmYptEcS9jnFWdNiu/HxHGAb+OzRuH5IXEUM5lMmS9WTCZzosTSptzVtucXLaI2dVly2O9YP6x5+eoVu/2xT6qVNyTYvi9MjTiM+Gd//k/40z/5Q7I0JfBVX7Ci6YGxpm5Yr9fc392z3+3QumM2m7NcneEHIcdjjvIEjJpME374g0/wvI66qtFafBjzsma73fLwsGa73dE0DcvFksurS87OzsmyDM/zMSjqpqTVmqIo2Gw3TLKEH//wEz56/1pUUFvxYjzuDyilWK7OWF1cMZmtiLMJQRShlCDe2oJsbdNQ5Ufyw566rvFtMto2oj2gG9dhckqbgVCDk5R0OiObL4gnk95M3Qv8k9kpBzwOise2y2b3OLcfdVoYLd+1I4hlFMLlDq6Ia7sGLQLdA1GpR6Ikn/LDhDhOZMW52cdHTQnjntsM9HIZ3egkd2squrqmUjkeplcpH0omYaP1huIjuwwHEGhtOByP6K5jMp2ifJ/Nbk+e5zRtgzKQxhFJklA1DXnZEAQ+xkjuE0cRvh9YJc4RwGXzG6U6aGWu2aCsbc5QLPb0UUaFIlbrYVQ4D+yx0Qmye7tyXqAYaQgwzuNcsWgfdc/jfr+Pb/2TDr8//nB/a/R6PM9HBRF+EImQz+he0NpwLBo2uyPzaUwUj0BrJB/IJhnnF5fMF0vpanni5SwvbXij2jZ8jvsDN2/fsn5YU5bCWGjarrdQ6fcKd3/6Hp9+/0P++I9+QhiFknva1+go5G1dUxwP7HeSK5ZFSZpkrFYLyqrmvWeXzLKQs4trdoc98/mS/19779EkyZJdaX5q3Ll7sIwkjxR9VV3TaKBlGJrIQGZ286NrMWuIYBpAAcVevXokWVAn5m5MySyuqplHZlVh0at+41ckMpinh7sR1XvPPfec1XKBUg6lAmtK5iJ3u5LH+zXrzYamaphO57z49BWrs3NSz6IMjJqu66j2DetNSTGa8lf/4QXPri+Z5LWsV4cSrGOxXLC8umBxtiIZjWTP8bXTk6rMgek0h+2Bal+TpAWjWU6nDfvdnq6uscbTUYN+ilKeOSa6A1ma4GKFshaj5fmNtRht5Lp1Yg8jftBDbhf20Mhrvxwruv+p+IvFYjqZi9CMR6DCxeC8wXeUxESxzHqoOPJIXaA3eCNcFfvZDlGYC93FkDSFtrKzuq96QdTInLNEznB9NuMHLy9ZjDJwhurQsHeW0Uh8oZwf4AyoThzHuDRF65bbmxt+/7vfsdsf+OnPC9IsZb/fUdcH4giMUzSd5u3NI5PJlFGeonXHfr/nYb3h/d0jm92etun6DT9SikESzCPrnv6TIBYbf76rGG7npzfw0F10hA5a6Br0JYMLYhthQVZHv39qSH1cLoa1JfKvPSDWQcDkaZF4fDEHvyXl0Z3Q4XA4C4027OqWujM4IlQEcRKRGKGjpmlGXowoRiOyTOZOFaH7MXQktBYBg+12y3a74bAvqesaY0zf6YqMzNgI6i7S7C+uL/lPf/s/c36+QCl67zejbU+LK/cVm82GzXaDNYbFYsZ8PiWOFV1rmIwyPnlxgY1ydvuGPE9J06RHG4MP3uFQsd8faNsGpSLOzi+YL5YUo8LTdhR+ELcXo6iqhv3+wGQ65frZJdNpgXNynaRnKy6vhLY6n8/I8hQVK6KIo2uBPolqPVrU6Y4sy5nNFkRxSls3bNbrPjlsm0E8wjqRKdfepiDy67JzDIIoscY6R93UVNVBEi/oZ5ODklpIDBSK+N9qaf8PGOOzZ32CE86jeyLYJUyKUBDKOpbgVHRULKp+/YnDYyIQtkNAEq2AcL5osEbjdEdkDNZp8tWcH3zynOvLOZlCZhi0I0kTT3d3/lpX4Dw4gYgidV3HH/7wFW/fvWO+WFLXNd98/TX3tzfSbXKOeF/y5rtvmEwnNE1LkqW8f39DWe7QXtI8dKsd/n33iwi9fL2xFkwQjhLk/5hPFK7fvrMaHfni+ipUju+HxWL4/wCqTzafAG1HMYBjx0DbUeJ0lGAdo/0hCQwh66oizVKyPKOrYzot6Hddaza7hsdtw3w2ZlQkqCh4tCWkxYTF6oL54ozJZE5ejL1PoV8TkLUbX4gb7/273Wy4ubnh4eFRjJLjWMQmfDGMVV6RUfPpZy/5u7/7r1xdXog4FQLm9iI0reZwOPDmzRvevnmHMZrVasGzy0sWC5mZ1FqzXq+ZLVZMplPyIuXyckXXNVjTonVLXdc8rPc8PK5p6pbReMKrsxXnZyvyvBB/V58LmK5Bt1Jgbjc7mrrh8uqC64szFpMMZ8SAuqlbkjRndb5idX7BeLYkSkdER2MbzlObre5ENXtXctjvUUAxnpKkGW3T4pzi0O44HBpfGBhRU1QxsVLEWeY7ipmnjwsj4smISuiCg9iExLGAm4mwBpTya6QXVPm+RTaaAkf3W3/fxFI49w2AcL/GA9jT7wfD/hBylb5j4TcZWa9ESEjrFtM12K7B6RZnNJNFysVySuIpd0aqFYwaZuV6EMEM50wh+9fDeo01GhVFVFUj6prebkrFlnGR0XaGL7/6mvV6zXQyYX/Y8+7mjroVtXFhoA0qmGJlZcGAWMUpYn9BqDh++h5hOI4f5nJeEG5gZ8hzDdY+ToDGAFjxNEeE47WNJ98//Yniyaqonv5mANGGdTBSImaSZhlNkkKrBHDyoEGnHZvdnu1uxGSak6qo77DHccJysWK5XAlLzKt/9mwR/2asExr8frfj/bt3bDdryeejWMB3XyzKoRwOZoRjsZjyd//Hf+biYtkz9uS4e4p8U7Pf7dg8PLB+fKTTmouLK66un1MUBWW556c/+Vxom0nOH/74R66uLylGuW/CyDlumpbtpuT+7oHteksUxTx/+ZIXL18ynk5QXhPDeXuQTmvqumW3r2ialqvrKz7/5II0jXD1AWM1aZ4ynixYXV4wXsxJskzyhqMiMZxrBzhtqA8V+80eZxXjxZLxcoFTimK95vb9Lbu7DXUtvos9kyJSZHlGPsqJ03hgQCRD9SAAsBSOUrv43CGJ+1ot1GlBZf8vxV8sFifL80Hd0yPhckalYxgnMXEqgjFxmsqCmwkKHsVqONGeumm8SkDoTFmthbLXtehaKAFKRcRZRppmpBGcXy353774lC8+vWaRR3S6Zd9oHh/u+bYsSTOxaBiPxyJ4Y7WcFywPd3d8/dUf2Zd7ER6ZTnpREqMNoVvadZp372/I0pjJqPCm8Xse1mtuH9bsygNt94GsfFgvpNXmkS9JAp0Kg8Ohzat6rn9fhn0gJHNcIPSJlhoM0MWScuguCjP1aNHyryl8HRaJUAAOBtNHRtPh+yfF6tMLpqf3JGnvvYOTOrXrDLv9gcdtyWpWMMki3+EQgY3JdMZkOu3Ff+QGUf3CLJSslrLcsVk/st2sqaqarmtlLVVCiQkUSMEVfMcMx49/8Bk//uFnRDGiGAkY40Q5VTuqquLu7p71eg04zlYLlsslRZEjG0VDmqXM5zMMCa223ioiFnpC2/Y2FPuyxFkZHJ7OF0xmM9I0Gei53gNHa+vpoULn6rQmLzLyIvMbYMRolJFnGcV4RJEPHdEAQIbEJsxJtp62VlcHryabEmc5eVYwGk+ZzGYsz1ZsNxse7x/YbrYc9pXI0QdKrLHguzjGOJwzxEmH+IMKtbaqa6+qmJB7ACFNU++7FvuuLU+Rse9JFIszeqyGQa1TRFzkWlRx0s81xknSAy1SRA8bXj/X4hNOKYoEVdeddHBM23mVSIOyhlg58jzl5bMLXj27YFEonO7E+Lw9YIzzdO/MJ05SuLVdsM2oef3mLbv9nlevXvGjH/+I0XjMZrPlcKiIYzFzb+qaXbnj4eGB1fkl+WjMZrPxJu81TVvLPCuu39BgWBUCf0PQ9yAKwYDM0y8RR4BYkG6P+/GEIJZg1ZEg2JNEaNhUnxzbJ/8cIWnHjz7qav65cEfnGISeqCJFlORivRBnEDXgZE5uX2ne3W2JY6GDzycZWRqRpyOWZ9dcXn3CbHZOno/kflGRePx5kQzdNTR1xWFfsi9LMRL3frBxr0rsvO2w67sn4EizmJ/+5Ed8+ukrsly6AYqhwGrrhvXjmtevX3P/8MBoVHB19YLz8zPms6mAp9aRZSnPri4ZzxYyz1NkxDG0ncwRluWO7XbHbl+TxAlnL85YLhZMJ2OxHxJYQtYQPzPbdS113VH5Ls+4KMjSBG07tGlompo4y1idXbI8O6cYT0jSXEAXlN87vVBF29DWYlpdlTvapiHLC7LRlPFsRRTHNHVNtStZ399h3r+jXq+pmhrr1RyNAuMsI92Q5jmRt52RVpUcYwE2xCdZ4X0041jymDgI54l6tvkeAmOyF/ucI4wqRBFxnMl6HwvlPj563NCl6u+YoXsYqOf+PhSKsB+R0GKVorsKpzXOaWJnyeOYz14853IxhsjbAHnNAuvoZ8dBxkF0D2LJ33p8fOSrr/7Iq5cvQDk25ZbtbidK521NFCVoM6Y8VFSHPevNjtVqwb7cc78W1fKmFTZOAMYgdFP9dWINGJ8XJYkQmgL9/Pi68AXzUCiGYxu6jNFRh/CDk+E+yLjUk18Na+OT3/+Zha2vBz1w9lFnc3h9wkQV5lynVC9sa63FENG0modNyXI5pshSwayUoigKri4ve3ZBYCz1a7C/b3SnhQb//h27zYZIyd6VpIlXr5e56iB0Fv6vc5Yf/fAzfvGLnyHpprwwa8W+p6kOlOs19/d3rB83AFy/fMXLV594tpglzVIur87Q2lKW4ls7mY6HPcdadNey2ZTc3d5z2DfM5jOuX7xgeXlBlqT92wkdca3FC7eqavZljXWO5XJGnidY0+CwZEXGbDpmvlyST8fEaUJQ3/4I7PT3jW415aak3rckeUaSF0RZTpbnjGczxmcr7r59zXdfv6G826I7sXFL/bEMgl1h3+jPP5If2DBy5IIdmhSKWeYZnknSN1n+u4rFZDSRN4UbEiC/QUv3MCVJPZKXpb5KDZ1E+oSp9030BaLpWnTboJsaXVd09QHd1DhvGKmShDQrWMzGzFbXrOYT8kwKmyxJiaYRWRoRK8v7d+/Z3r9ndSYbW+Sppw9397z+5mvauuazzz/j6vqa+XxGXcsmTZjFVJHQaJqWptOkqaFqWnaHAxvv89I2nqZ1VNCFBcN5jxqCZ5QxPZr50X38BCUKlACPSvnv++LSfz5yLQEVSUsOfyU/+RuhFGM4Rx8UgT1vvS8kh9epjp5FhacPr1RJZzFJUuIoxiiN8l3Bqm55XO/Yzsdk88JTK2A8nTFfisCDIHK9ZpqIIbQtTVVR7jZsNmu2my26a1E40jQR2wuFLCg6JMdeWMhZijzlxcvnFHkuhX8k/kE46LqOsjywflyz2ayJcKzOVpyfLckLGfoNFCMVJWR5TNMJFbM/T05EYEwnHeU8zxmNCmbzOVkxIkkyj6bJgQozFVprvwl1NL7YLGJZxHCKOFYUeUYxGpFnaT9L2F8abkjGte9AHA579rudN7uNELEs6dKmHqyZpUvGszlnF8/YlyWb9ZrdrkRrQxa8jjyIEeZ6wwJs3dCxjSOPsqciFiTF8+DvKNS77x81Cw/oxLHfTPv7U6gjYV4xLLah8xpFXshLWuWe/qG9NYIAYccfosLbYTp5DE7m05JIEeUJeZ7hnCPxc5FxkpB2cp9tyz3vbm7QuiNLhOIdEPavv/mWu/sHfvTjH/PXf/M3rFYrNpuNKOmqwY4n7kcBMqI4xVrEBLhpqKuatmkHg3J1vCocrw0+IYxs/zuG/b7nOIT1JohlDfPrA0hmgpAIwyZH+Bt9ojSoogrj67jVGO7BDxH4p+f26dwjw/rm/0ZQRIyThKwYkxUFXXPAGvE7dNqw3tU4HNo4rs6nLOcT5qslV9efslhdURQT0nig2oaOSltX7Msd+3LH4bCnaxqM7hjlBavVksXigTxPKasKZwI4a1FK9s00jbl6dimMB2OIlIxh6LbjsN9xf3vL2zdvaduGZ1eXPLt+xmK5oMiFIma0oWkb4ihiNptRVjV3dw+8/OQZkYKu1dIBbFrSLOXZZMpoPGU0GpGlQZxHQqhlviOjxWtNd7LOaW2JI5kPN12HoiXLM3mPqyV5UQy0N2t6WqHxIErbSGJf7Uvatg3aTxgLKk4ppgvGy4TlpePsRcXlJ4+s72+5ffeOx/UjbdfRGcNut6Oua+LUKwH69Szys0+RZwVESvl7TGYdE399xp4d5Rxo9/1b68QW6EghmNC5kQLJRpbIxRwvAcdgUUDBg0ef6wWutBcW7LBa6IZO18KeMB0ySx9RxHB9tuSHnz4njS1EiHgYyLiJp9k7Z4kj6bbLCEZD01S8fv2ev//7vyfPMr742c+YzZc8rrcEmr8A996qRXfEWUoxGhEnKVVVU+4rmqb24xvNwFZ6AvjJuw20fKUU1o9ZHZdvfW6l6AuDXnm0LxRCZ5H+gPbr0J/Mzz2r48kafPxHGZ7vgycLxyD8XvUfodgfCsYkTUkysdPSRjqt1gnzS1vYljUPjztmkwlZLgyTs+U5l5fPvNiMPx59beBnAFthTTzc3VLutiSxgiRDabnfglemdYPXrpQJjiiBzz57xWRSeODcggXTdVL0Pzxwf3vLvixJspyXr15x/eIlWZ4jY0eydwkTR9P4ucYwV258oVjXwkxQSnF1fcXV1QXj2awH7pRzfmTH261pTdu2HA4Vm01J23akSYJzGms1aRoxm02YL0bko0JYDeEeOz5J/lhZ42jblvJhy/Zhh+0sUSrXedK2sg7lGZPlislszsWrV9y9ueH2/S3lVqiuKon68SPnN99IxSRZynFvz18ZyFiD9872zb0wD6qOcoQ/F3+xWIyTGD64OcADFWEuMY5ABZQTGfSXyw7Taelu6A7TdeimxnjpbNM1mK7FdS1Gd+LxFQokBSaKsGXOb8s17Ne8/+wZX3z+kmdnMs9TFCNevvqUNM355qsvuX3zmnq7ZjSZYBzsNmuc0ZyfnXHx7JrZYiHJ0LbEGstoPKZuNa1PjNIs4/LZNbPJiJubWx7WG+qmpWk1nTFCqcB9dEBD0di3t/tZij9x0PoTxxPUKeoXGX9hRVIhWit0XBsKRud/59yQHnlUR/F0YemHm31RGHx2wrxioJcdzxCp4yrxg+dKkoQ8z6nTVDYDT93oOsfj9sD9escoiynSiGI85eLqGfPlysv6KowFZ70vYVVRliWHfUnjEfYiT4hG0vFr2451tBMhj7oRtFGLWmqgrkZxxGq5wDlD3dTEXvK+61rKXcl2s6VtW0ZFzvn5UqhYmYhXyAyq5VDVNG2LI+JQd+zKijwz3m5OkUQxpCKaEyey4eR5gfIS+72Jqx347HVdUx9qqrrh4f6RzXoHC+g6TZ7FT2iKKL9BWTB9L8Z6IRPtn0+EJg6HA13bolREpy26M3SdphiPRQHWU6iKSUY+njBdLqmriqbp+vvX+NcYhDTSRNgBWEWWSVKY5eLtWBQFSRJ7oR1vXO47Ht9H1QdnjNjEEBH7Do/UIY4IuUfjIFzgFDaIXfni0BntveTkw3atR9RbrG7BaI+kyjVsvLCT3KNAFLMr4bdf/pFRDL/44UueX50zHo1Ii5jJIqaz7/nNr39D09QsFzNWqxV5MWI0moiVQNdxff2c+XzO7c0tt7e3TMZjrq4u+e47sYZZLBfM5wvSLBfrgbphX+457Csqb3tgvPmVgiNvyaNjFTrfR+vckwTK//uEwRBmN8NcN35OKfoYPOfPJUm+UDymj/7JGID0nlUR1sLh9dHfu71NgnW4SJEkmYiuJCnWeC8+Jyb227L2gAJkRcFkccb51XNGkxlx7IW7rEObFt3WlOWWzeaRfbmjrg5Ya0lS8TktRrkYPC/mjPKMJJJ1UuyoGGhwUUye5wjltCNSSLezFOT+9t17sIYX11dcXj9nMpuTFeLfZYyh6Tp2+73MuTrHzc0dX33zHcV0TGdEFCvPUrJ07lVWU+I4Hej18pL83kavRCjd8g6jDdWhptwf6DrNuEhJCxiPxyzmE2aLuSRzXsAGp4lUJIWm7qRD2TRUnj3R1rUkQA6cNpLUxRuMVRSTCWk2Ih9PiZKM0WzB6tlLmupAXVe0bSOev1peF87KPGM0CFMFkb4g0pKk6UCn6/dKSfCj719j0YvShEHDgSbZv9XAruh5BAMNMIhbhaJQG9891BqrG4xfB7GdqIk6OQfhJldKOpuJ6nh7c0OnOy5Xcy4vzhmPc0YUWGtYP274zW+/pKkqVqszxpOctul4/foN/+0ff0UURfyX//K3vHh+TVVXOGcZj0cUxYjNtgSl0FqTxDEvXz7n6uKcqmqo6oZDVbE/iGqm1jochkHR9OgwhIZAmA+P3MByGpYo9aRIHNhiAz0zdBb/dLgnX7rjz3/qfw3J3/CzD8CxAAQQ9AdCbtn/ThHFCWk2Ik4ztG7ACM3XWIe2jroz3D3sWC3PuBpPybOcTz/7jOlsztBFDFWJzEvv9yWb9QPb9Zq2aYjjmDRNCNZlYaxHexXaXhHb57RJkrBazaU4dwZnZPau2u9Z39/z+PBA23Usz8559vIl52fnxEnsQTxhO2gjjCrddWy3Ox7WW8njtUFm7uUATiZTzs4umM3npEXOsZ9lyOV75eqmoa5aNuuS717fUtU1z65fYK0CLHmRio9ukXmxruECCYV/AFqMsXRVy/phzfZuQ9d1xCrBaEu1P4gei7XE1pJkok48XS6YLeZ88uPPxS5of6Cpa2G/NcG2TnQ2iBQq/vBa9CMyqeR0PRU1PmI1/ht53V8sFnHezP2DC74XKECUw2znMF3nd1+D0xqtBQnSjXDUbStJk9OdDDkHDq21ROFij2QWTXkFoMYYbqsD5eM9v/mXf+XdX33Bf/jFT4iVIc/EgH2/LdltSzANRZ4wi6eM8xFJnDAajWlbQ60tb9/fUbeSMLVa5h03uwPKCqo0ynN+8IPPubw4pxh9xfv378XUvO3EENMO1g3hjv24cAyyyyKY8ORm/yBRCeIyg+jF0YP7ovno/xxlOIHSGhaVY9ivRwJDghQNC0egRggC4ZOnIxTqwxwtvL8oUhAlpLl4VjVNLcbFSnzFD03H4/bAYjommY9Znp1zcXVJXhRDAW00bVtTbnZsNxuq6oCzhjRJGE9GfbGidYfdllR1w/5QidiQL+iNp2ZaPPc6jTFO09QGZwyt92es9hVxHHN5ec5yuWA2nUhxhigSdtZR1Q2P651YZ3SG2/st372+YbVcgBLULU0iHIUcA6+CGcQxBpoCvUpW23ZUVc2hqnh43PD69Vtu7x4w1nJ2tmQyKXoqXji+zlMIIPh3SiLWdiKr39QVXdNKx28yZRBg6CjLLW3XMhqPPP1NukWBPqpURFpI90d8IY1PoiQRC4WgdY7UUy+yLCcvCpLUC+1EYcg/UA8/QDW/JzFQR33xoDzA4RXGlPf/VNArmNpOQLCu67C6xXrgy+gWZzpfQGqUp03Llvq0+Ar3o3WWqnJ8/eYd5W7Ld6/f8ONPX3F5vqIYjRiPCvbllsVqQayWFFlGlufkxYhlIrZAb9++45uvv6Hcldzd3uKc5erZFVeXFzzc32O0Jc8zJrMZFxcXzOdzHh8eKXcbduVO5kG07sVu5AUeJZE9q+JIyIbh6+POYGBNhBn1MPM0bMhD0uJJ9uFEyGbp957j7uKw2LknPzmOoRl6hLKrAYSMnvzM/0k7gH04hYoTL26W0bWNFMX+PXXGUVaafN9waSPmZ5dMZkuSRNBco7X36N2z2z3y+PjA4bDHWkucRBRFLt2uWITQdOfnPo9mSiTx8fYkxs9BG0NnOoztaNuIrunYPj5S7nZMxiNm8xmrszPG0xlZnosYnda0rWa/P1Du9pLMHWpu7u65ub3n+YPMJc6nqSQ5weIK5RUxVX98ekTcSkfRaJ9IdYbtds93r2+4vV8zn01ZLaaMJnPOVmPGo8wLi9CL8AhNBHTX0DYydtA2DbXvuIZOokJmv+q6ptN3HA57RpMJxWhC7KmszjniJGO8yBkvVk+6XcFeRhRi7bAfB4uoOOlBtmNVd/w9Lgn2969aFIZQ0ucEUQCto9gDYokXa6On4RkroxXGF4ama9CdnC9nWtkbvJWYcoYnxaZnTwjRzFJrxzd/rLj99htipbg+n/Of//f/lZ989lKA0epAddiz2z6wW69JE8dsckmWwLhI+PnPfsTFxQXFaMSv//XX7KsaFUekWcZ8Mef27q5XMM+ylE8/+4TLsyVf/uFbtruSbVkKQFYdMPaYpfDxuQ4NAusskYsIyrtPC7WnOdbxWtcD8U+e8+iro+JQfhT6m8Mvhser/s8N3w7zkEMFO+ToxxoUg5Y8fbNAfEhHtE3lZ6DxmguOyMJ23/L29pGz1ZjPPnvJ9fOXKBWLC4EMmeKspTqUYjmxfqSpD0RRzHg8kpk9J100UaVvqZtW1rejQjG89zgSOxutdc8sqw4Vu/WG/W5HnudcXl9zfn7BaDoV0MkJYNu1bf/RNA3lbs+7d7fc3NyzKw8DvTmKevu2LMvEweCosMPnmcavddo3vaqq4+bmnm++eYs2mpevPmExnRBHkOc5WZ765ll4LhcQB0BGlbQ2HMqK7f2a/W4vtcdo5BkXIuh5KHeYriX1/pWRB7OiSFgQ49mYyWzq6bFSFHf+w1mLDRlafw8H/QFFlHhtmVDDhX32T64UT+Mvq6E6cCr453ycIDoX/D8kAbW+W2i7RhKnrsPqDmU0wTBEOYsKb8cXLyryQ7cAsUMhiplRJF59WjeAiOl8+/otv/vtr2mahovlnC9++CnnVxesFguR2U1TQcy7R/Z1y9t3d7y9vWd/qIiThLOzM/LRWAb1UViD945TzKZjzs+W7Mtz0iSmaWW+KPj6iUjF0N8NB3mo4walrGNLD5Ty8zFDcXYsqQ/Hi4/qPwlt0BKcM+THAQX0r+MI3QrJRnhtQ7IUErfhmD+tMR0fXS3+hgk9zNh78CVJTBJHaBsuROi0ZXto2BwaZrMx09mcYjTCOU/Ds9Ybna55uL+n9XSn8XjMeDwWifk4lo3pAIe65f3tPeW+EjU05zBO6EhB5CZce0JRlcRca0McR5ydrZgv5kynfq5Q4RXeLMbz6Q8eWdyWFdWh4c3rG96+vZX3Y6zMLNmOPE38/BFY/Cyqdd6fyPVS7MaIAXbTNpRlyd3tHbe3d6w3O/I841BVWDvzXWP65NB47mxAL62nZbVdQ9cIlSdOYorxxBfUUd/F7HSHMaIia40lSTVxkvnCGH8NejVAZEYnSbOe/hUG8cNmiIr7GcUnydPxgufsk6Lg+xLGaJSLcHa4L4MyswtrfigStaDnrmuxvvi2HlEXIMygrHyWQsMNx08dJRJxUBP0YhJJRIdlXdeYdzfc7faYrsM0LfPJiH/3sx/yv/zN/8RsVFDudqw3W/Z1RVmK1czd3QN39w8UeU4SRbx4+dwP5ovVRtt1sF5zcfWCly9ecv38FZPxe371T/+Nuq5BDV5moadg3dM+3vGskiQ2QzIk3x0dP3VsABw9ARmOUyDCNRZ+2udJR49y7uMliqOC0a+rAdDsZ7V7ZP0D0K3/0pfwR49XKumVsPuN1DovcCRUuao1aBsxnoo0u/NgjK73VOWW7fqezVaokWmSMJmMyYpchI/869S6o2k7Hh42bHcH2lbLqzF+RsdbbTRtR1XXIv6iRQ0XY4miiPOLC4o8J89HInbgfSJdANi0piz3bDZb2k6zq1o25YFyX/H4uKFtNXEyJvYaA3J+h6Sz1yyw4TX5bmAns9Dr3YHf/v4bfvv7r6n9uIZ114xGY8ajMUkqz2OtkNeNFmEn3ba0tUfHu7Yf84iTlDQr+mJOKWFlNG3DvtzSNHuKYkyajzyFLpXX6+fBI6/+HCcivJe5wndBhdor11bYnKOeSh5GP/DvP1zn9qOr7n/8SKLY24nEfaGI8tRUkELeW491XUfbNei2lsJbN8NaZ7Uwwjy4FIwu+tJEBehBwJ8Ihe1aGqPpnKVCEzmYZY7N+pH/59tv+PW//oau6/iPf/0F//Fv/hqcmK4nSYyQP67IijH3Dw/887/8nsf1Ru6Dq0sury6YjEckSUxnnL+eIhbzGc+fP2N/qDGmpdxtqaoa3el+XX6Kuh9FSLb7DwgWZvKmw1p3PAP6JwrFfo2jBw77a/Fo0XMffP4wMevBDIb17PjrUCg+mZ18kl/2D0QpsYdL84LoIMrFoXAT6wZHp+D2fsP944L/+snnZFkuYL1DAJmupdxsuLu74VDuUJFiPJ4wmoxJvQVE3TSiveBpnHXdiG5Cf4xDfu3fu9eLsL6jd9iLnsny7IzFcsVkPiNNBdwOlPhOC+24qRuq/YHdds/t7T1v3tzIHPa2xDlFluUi7JgcgeHKX7UuzN/T04+N1phOCtHt9sCbNzc8Pu4wtuP29o5nl4lXjU2Jk6NGAs6LBknuaazFNB3bbcluvRUbl8WcbFSIo4OxHoSR2dy6qmjbji7PSLJM5uATYUUk3us+iiPJx5OYfJT3haG1Ai7qXktlUPvtG0b+uIe1/cmE25+Jv1gsGmNQxL2fh/PXfDih1pphBrFpMF3dyyI7a8BocJbIOVlI+psl8knTsEFHoYDxF3qSZRTFiFiBMhU//9EP+Pkvfsoffv1rfvf7r7l/XPPs8oxf/PwLfvLFv2M6n5FnI8qy5KuvvuT//Yd/4g9ffcvDesuhblFxxGKxYDydEWe2L0alPS7mrlXTEcUJ4/GEOEl7OouoOAFO+eQ+3HAD4hyKvt7P2j/mSS1HQLeHBfoY4hbxl346xw8dHyU6AL7LE87D0R3nF6ajB8uL892wiAGF6l/QR3GM8vQ9AEWvnJokCXEcSe3vH2qdmLnu9rW/ITNihacad3Ras/My8XVVkWUZ0+mM2XzOeDwh8V0tYwy77YE37+747vU7yqpBWxGssV60xhhw1tE0nVdMtcQqIs0L0lx85CbjCZPxVOa1nBO6s9XeQ6yjqhvqukF30g2sa6GntNpQt50I3RRjurrCqRjniy9BR01v9xESqWCA3TYtTV2zL333tK7Rxsi1VdX97INzYdDad+atGUAJT/HR2vj514QsyxmNJpJExWKhoNuWTre0XeuLS0HulGoEZFGCnidZ4cULhHaQJKrvgIeNxfnzLuItCVGU4HyhFDodYbNUTtEzmL5HobsOFcfDDLGSfqrxu0e/1unOF4VSGGK0HBtfJAZxB9dTr4I8+MDSUH4GMkkSUQzORVgiKA/PRgWr2RSs4fb2lnev37Kcjvirf/8zXly/YJSnzGcL4C2/+/2X/P7LL/nmm6/FT1Eb4lgxn06p6yXr9SOb9Zq2bTHacNhXWOdYrFZcXF2SZBmL80s6/Suc8zO7LiwsR2jrk+8ERBJ7jaCGqIbERNEnK8dz0RDYGB+sPaH47LfZUIgOv//ToZ5+OkqWAr4peNox6n70HlwQuZE1xXrPgAjlbQIyojQTgDP4gUXB1F5k/fMsQ2Fp2wO66TjsNqwf7tiXa5yzTMYjJpOZ+M6mst0KE0G6uLuy5PbunqpuZJ1zw+uKFH79MOz3BzotgGuMIy1GFH6uOIkT4ljeY6SUJPP+b5Tljrv7ex7uH2msCPWUh4a67SgPFbW2RHEulC8L+Llm5XHIILRjvBCN0Ky1txJq+fbNe3735R95+/6WSMXMpoUo9RU5YiyNrBd+nWzqmvpwoDnUtG0tAk+RFIlZLrYMWZ4RpzlRlICzdKaj9n5qbVVxOOzJjSGzVuT//VysI8KYD5JlBkAalfgetvcuPgIX/IWPcbLGBzuv7yHjnqDyaD14CvTAr3PD9anbFq1lZMjqVmYPbeuteoRe6lzoIEKk3JNkOfLH1imI/eMW44jpaEG9L+majh99/jn/9//1n7h/WPPLX/4DN+/fM5mMGU/GXF9fMRnlQhstS9abPX/46lv+8Z9/z2a7RXtF9TRNyUYj8qLAaIMiIlJO8kwn536+mPOLX/yCX/7yl3RffUPXmcHO5hhFck9XO3knx0uQA47YEQEs64uzp8BYXyiGb46eZ6gFjwvGIf8K4EX/TOrj1/bkvB4XsNGxun3/Lo4+ADwwluYkSY5tDjhnCIC4UaBNRNV0rLcli8WZ5PUq8mIzFeuHO+5vb2i7lvFkzGKxEL9p3x2s9ge6tqGpa5qqptztqevai1w+paH2qB+iH2GcgOJZmjJZLZnPF+RFIbmsc17F1nhFcVF3b6qa9f0jd/c77u4eWG92tJ1hV+5xzgkQHsv63qfQR0V5KBK1B7R024pv4aHm/u6R9ePWUz471ustbXNGupwI+BLOm/eCJOSJnaUsD+weNpT7A5PphMvrc4qxvJfQGdWdRrcJUdv14oqd7ki7jizzM9dxTJp2JCb3AjWD131YxqQfEZHGChcHWyLPuAg4WdiLnYB4yn4IKHwcf7FYtEZ7BqqCnqLiRNHUmD5xMm2LaWRRwXQ4rcGZ/sKXBdejd0fvSEUDbzYUpLJJp4zGY2bjEWkcUaRwfr5kv9tyd3+PimVQ/9nVM4rxmCRLSRIwXcvmccPvfvsl//Ivv+Xm5o5OGzGSLTJBOfymXFc12iO3zoI2ml15YFtWaCP89yxPqeuKXkrfimT8E4wmINdRJKbB/gKJI9mMXKCyhKIvVPZ97uKT9x6dl+iXhSddnIDdHy0aYSFw6mhNCsiR/P+Q9D8BmNQHtebRr4Z1a1i8+g6CL3Itwm13XhXRGpkptAi1qmsan6w5KZb2B3SrJUn2qrlJmvScafyc3q6suH94ZH+o+81IEE4vhuApY2kaS3et1WSjhCyRrlmeF56m5OcTjUEb2w/IV01N1VSirBa6eU6sB/IipSgytO76hN4pwUvDe7Eu+BN6zx+PCIm6WuMtKCoZrI8UWZYSRQrTadq2wehCkmwr95I5mv0Q8R4BWKyTayvxSVScpL2MeRJHkMqiZGXA0h8jjaMD3wGNk5QiWB+gxLg1XDZeHTBcNMdG8mGDkm7qQLeOYoVRHnf4nkXkO/jKDcWNoI0WZ4wvEI2sb8YDYdbPRHlPQqcUNgA0SvwXh0IqGgRrPDqYZeIDNh6NKPKcSClSj4QvZ2NM25BYTR5FLKczzlcrQRGLlMhvfFXVsNmU1FWNVd6PySlarcWM3Tn25R6ntVeAFgGPrm1ovfLpaDwmyXMOu1pmpO3g6RRmVcMC0hdeAZEMBVrUv9OjOZ2jQtGvJ354oQcoQvRr39GipI5/65c658IaGI6rX+96BB848jk7Vn2W/Uv1yVzYNHEWh0VkjQDlhIqaCxXVGA3GCFNCW5SLUUVKmuR0bYPRFaazHA415X5P22qSNCONYybTKePpRIBJ4VVhPHDQdC2bjYixaGNkFtnPgrt+vzFkng1QVTWTIicdTciynCyRmccklj3BGk8NNTLrXR4OPN4/snncUjUdHYqqbrEo0tEIqxRVVcuIQZKK2FAvXuXXfhXhvAdpT80yspZtd9KxbLqWLEvIkpzJaEQae4A5inEY3+kUE/XmUFEfKpq68dTclCxLyYqCLB/1Hd04TvqFJnKZiOnFCYc0o2saAW61xjk5x1ZFHrwUGnPUi4wIeyLy8v62BxMk+ZbHIl0A5XMbAt0QD3Z8v6LzI0P9zJhnx1hvdh6oxlZ3ONt54F8obg7pJPbMJvrUxt+/bsg1PAAUKyiSiOcXK/7Pv/1rPn1xza/+6Vf89te/4t9/8RlZovjnf/wHHh/umU1G/OQnP+SnP/kxi/mcNImo/WzWd9+94Z//6V/55vWtF1jMPADnqGpRt6zqBpXERDr4mjqaqsUYx/LsjIuLC6/Kb4XCGBacAGKpY6GbsK6EdQaGd3qUz/UfR2tWyJtDHBckRwXh0wzsw3BP/n0K9H+Q3Ps//kRZPyiVHj8u5HThFoiVOBnkOaZJsK3kE9aBshYbDf3irmlQaUHb1lT7ksfbW9brB6y1LOYz5ssF48mE1FNPAyW0rRvauqWuGsp9RefzRA85ejDahuVG1rHOkETImNJ4wmw2JctkrtCTmuW6NUMO1tYNDw9roZ3uGw5Vg3MQRwn14YDpnAhwKj+L74bjGxwfbLAUa8XTums66qpmuxX/704bwhFpmwarnYDrTmFMYCKJaJvRmrppKB92PD6saQ4Ns8WcxdkZxXgiHtg4lFWi6O8vh35O3Fh019G6BpwjsVYEeOxgJZO6tPdJDIq2Q3eaHmOIIgU2Qkiq4ZK3OKNAeWXzfwMZU/+WAs4pTnGKU5ziFKc4xSlOcYpTnOL/f/H9g81OcYpTnOIUpzjFKU5xilOc4hT/3XEqFk9xilOc4hSnOMUpTnGKU5ziFB/FqVg8xSlOcYpTnOIUpzjFKU5xilN8FKdi8RSnOMUpTnGKU5ziFKc4xSlO8VGcisVTnOIUpzjFKU5xilOc4hSnOMVHcSoWT3GKU5ziFKc4xSlOcYpTnOIUH8X/B9aNtxw4SLs9AAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "fix, axes = plt.subplots((len(reconstructions) + 2)// 3, 3, figsize=(16, 12))\n", - "for ax in axes.ravel():\n", - " ax.axis('off')\n", - " \n", - "axes.ravel()[0].imshow(img.crop((468, 212, 768, 512)))\n", - "axes.ravel()[0].title.set_text('Original')\n", - " \n", - "for i, (name, rec) in enumerate(reconstructions.items()):\n", - " axes.ravel()[i + 1].imshow(rec.crop((468, 212, 768, 512))) # cropped for easy comparison\n", - " axes.ravel()[i + 1].title.set_text(name)\n", - "\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Metric" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "def compute_psnr(a, b):\n", - " mse = torch.mean((a - b)**2).item()\n", - " return -10 * math.log10(mse)\n", - "\n", - "def compute_msssim(a, b):\n", - " return ms_ssim(a, b, data_range=1.).item()\n", - "\n", - "def compute_bpp(out_net):\n", - " size = out_net['x_hat'].size()\n", - " num_pixels = size[0] * size[2] * size[3]\n", - " return sum(torch.log(likelihoods).sum() / (-math.log(2) * num_pixels)\n", - " for likelihoods in out_net['likelihoods'].values()).item()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "metrics = {}\n", - "for name, out in outputs.items():\n", - " metrics[name] = {\n", - " 'psnr': compute_psnr(x, out[\"x_hat\"]),\n", - " 'ms-ssim': compute_msssim(x, out[\"x_hat\"]),\n", - " 'bit-rate': compute_bpp(out),\n", - " }" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "---------------------------------------------------------\n", - "Model | PSNR [dB] | MS-SSIM | Bpp |\n", - "---------------------------------------------------------\n", - "bmshj2018-factorized | 25.927 | 0.926 | 0.147|\n", - "bmshj2018-hyperprior | 26.845 | 0.935 | 0.150|\n", - "mbt2018-mean | 26.907 | 0.935 | 0.136|\n", - "mbt2018 | 27.149 | 0.938 | 0.125|\n", - "cheng2020-anchor | 27.675 | 0.943 | 0.135|\n", - "---------------------------------------------------------\n" - ] - } - ], - "source": [ - "header = f'{\"Model\":20s} | {\"PSNR [dB]\"} | {\"MS-SSIM\":<9s} | {\"Bpp\":<9s}|'\n", - "print('-'*len(header))\n", - "print(header)\n", - "print('-'*len(header))\n", - "for name, m in metrics.items():\n", - " print(f'{name:20s}', end='')\n", - " for v in m.values():\n", - " print(f' | {v:9.3f}', end='')\n", - " print('|')\n", - "print('-'*len(header))" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, axes = plt.subplots(1, 2, figsize=(13, 5))\n", - "plt.figtext(.5, 0., '(upper-left is better)', fontsize=12, ha='center')\n", - "for name, m in metrics.items():\n", - " axes[0].plot(m['bit-rate'], m['psnr'], 'o', label=name)\n", - " axes[0].legend(loc='best')\n", - " axes[0].grid()\n", - " axes[0].set_ylabel('PSNR [dB]')\n", - " axes[0].set_xlabel('Bit-rate [bpp]')\n", - " axes[0].title.set_text('PSNR comparison')\n", - "\n", - " axes[1].plot(m['bit-rate'], -10*np.log10(1-m['ms-ssim']), 'o', label=name)\n", - " axes[1].legend(loc='best')\n", - " axes[1].grid()\n", - " axes[1].set_ylabel('MS-SSIM [dB]')\n", - " axes[1].set_xlabel('Bit-rate [bpp]')\n", - " axes[1].title.set_text('MS-SSIM (log) comparison')\n", - "\n", - "plt.show()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/examples/Readme.md b/examples/Readme.md deleted file mode 100644 index 07042df..0000000 --- a/examples/Readme.md +++ /dev/null @@ -1,8 +0,0 @@ -# Examples - -## Notebooks - -To run the jupyter notebooks: - -* `pip install -U ipython jupyter ipywidgets matplotlib` -* `jupyter notebook` diff --git a/examples/assets/stmalo_fracape.png b/examples/assets/stmalo_fracape.png deleted file mode 100644 index edab7ca..0000000 Binary files a/examples/assets/stmalo_fracape.png and /dev/null differ diff --git a/examples/codec.py b/examples/codec.py deleted file mode 100644 index bc5bdfc..0000000 --- a/examples/codec.py +++ /dev/null @@ -1,603 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import argparse -import struct -import sys -import time - -from enum import Enum -from pathlib import Path -from typing import IO, Dict, NamedTuple, Tuple, Union - -import numpy as np -import torch -import torch.nn.functional as F - -from PIL import Image -from torch import Tensor -from torch.utils.model_zoo import tqdm -from torchvision.transforms import ToPILImage, ToTensor - -import compressai - -from compressai.datasets import RawVideoSequence, VideoFormat -from compressai.ops import compute_padding -from compressai.transforms.functional import ( - rgb2ycbcr, - ycbcr2rgb, - yuv_420_to_444, - yuv_444_to_420, -) -from compressai.zoo import image_models, models - -torch.backends.cudnn.deterministic = True - -model_ids = {k: i for i, k in enumerate(models.keys())} - -metric_ids = {"mse": 0, "ms-ssim": 1} - -Frame = Union[Tuple[Tensor, Tensor, Tensor], Tuple[Tensor, ...]] - - -class CodecType(Enum): - IMAGE_CODEC = 0 - VIDEO_CODEC = 1 - NUM_CODEC_TYPE = 2 - - -class CodecInfo(NamedTuple): - codec_header: Tuple - original_size: Tuple - original_bitdepth: int - net: Dict - device: str - - -def BoolConvert(a): - b = [False, True] - return b[int(a)] - - -def Average(lst): - return sum(lst) / len(lst) - - -def inverse_dict(d): - # We assume dict values are unique... - assert len(d.keys()) == len(set(d.keys())) - return {v: k for k, v in d.items()} - - -def filesize(filepath: str) -> int: - if not Path(filepath).is_file(): - raise ValueError(f'Invalid file "{filepath}".') - return Path(filepath).stat().st_size - - -def load_image(filepath: str) -> Image.Image: - return Image.open(filepath).convert("RGB") - - -def img2torch(img: Image.Image) -> torch.Tensor: - return ToTensor()(img).unsqueeze(0) - - -def torch2img(x: torch.Tensor) -> Image.Image: - return ToPILImage()(x.clamp_(0, 1).squeeze()) - - -def write_uints(fd, values, fmt=">{:d}I"): - fd.write(struct.pack(fmt.format(len(values)), *values)) - return len(values) * 4 - - -def write_uchars(fd, values, fmt=">{:d}B"): - fd.write(struct.pack(fmt.format(len(values)), *values)) - return len(values) * 1 - - -def read_uints(fd, n, fmt=">{:d}I"): - sz = struct.calcsize("I") - return struct.unpack(fmt.format(n), fd.read(n * sz)) - - -def read_uchars(fd, n, fmt=">{:d}B"): - sz = struct.calcsize("B") - return struct.unpack(fmt.format(n), fd.read(n * sz)) - - -def write_bytes(fd, values, fmt=">{:d}s"): - if len(values) == 0: - return - fd.write(struct.pack(fmt.format(len(values)), values)) - return len(values) * 1 - - -def read_bytes(fd, n, fmt=">{:d}s"): - sz = struct.calcsize("s") - return struct.unpack(fmt.format(n), fd.read(n * sz))[0] - - -def get_header(model_name, metric, quality, num_of_frames, codec_type: Enum): - """Format header information: - - 1 byte for model id - - 4 bits for metric - - 4 bits for quality param - - 4 bytes for number of frames to be coded (only applicable for video) - """ - metric = metric_ids[metric] - code = (metric << 4) | (quality - 1 & 0x0F) - - if codec_type == CodecType.VIDEO_CODEC: - return model_ids[model_name], code, num_of_frames - - return model_ids[model_name], code - - -def parse_header(header): - """Read header information from 2 bytes: - - 1 byte for model id - - 4 bits for metric - - 4 bits for quality param - """ - model_id, code = header - quality = (code & 0x0F) + 1 - metric = code >> 4 - - return ( - inverse_dict(model_ids)[model_id], - inverse_dict(metric_ids)[metric], - quality, - ) - - -def read_body(fd): - lstrings = [] - shape = read_uints(fd, 2) - n_strings = read_uints(fd, 1)[0] - for _ in range(n_strings): - s = read_bytes(fd, read_uints(fd, 1)[0]) - lstrings.append([s]) - - return lstrings, shape - - -def write_body(fd, shape, out_strings): - bytes_cnt = 0 - bytes_cnt = write_uints(fd, (shape[0], shape[1], len(out_strings))) - for s in out_strings: - bytes_cnt += write_uints(fd, (len(s[0]),)) - bytes_cnt += write_bytes(fd, s[0]) - return bytes_cnt - - -def to_tensors( - frame: Tuple[np.ndarray, np.ndarray, np.ndarray], - max_value: int = 1, - device: str = "cpu", -) -> Frame: - return tuple( - torch.from_numpy(np.true_divide(c, max_value, dtype=np.float32)).to(device) - for c in frame - ) - - -def convert_yuv420_rgb( - frame: Tuple[np.ndarray, np.ndarray, np.ndarray], device: torch.device, max_val: int -) -> Tensor: - # yuv420 [0, 2**bitdepth-1] to rgb 444 [0, 1] only for now - frame = to_tensors(frame, device=str(device), max_value=max_val) - frame = yuv_420_to_444( - tuple(c.unsqueeze(0).unsqueeze(0) for c in frame), mode="bicubic" # type: ignore - ) - return ycbcr2rgb(frame) # type: ignore - - -def convert_rgb_yuv420(frame: Tensor) -> Tuple[np.ndarray, np.ndarray, np.ndarray]: - # yuv420 [0, 2**bitdepth-1] to rgb 444 [0, 1] only for now - return yuv_444_to_420(rgb2ycbcr(frame), mode="avg_pool") - - -def pad(x, p=2**6): - h, w = x.size(2), x.size(3) - pad, _ = compute_padding(h, w, min_div=p) - return F.pad(x, pad, mode="constant", value=0) - - -def crop(x, size): - H, W = x.size(2), x.size(3) - h, w = size - _, unpad = compute_padding(h, w, out_h=H, out_w=W) - return F.pad(x, unpad, mode="constant", value=0) - - -def convert_output(t: Tensor, bitdepth: int = 8) -> np.array: - assert bitdepth in (8, 10) - # [0,1] fp -> [0, 2**bitstream-1] uint - dtype = np.uint8 if bitdepth == 8 else np.uint16 - t = (t.clamp(0, 1) * (2**bitdepth - 1)).cpu().squeeze() - arr = t.numpy().astype(dtype) - return arr - - -def write_frame(fout: IO[bytes], frame: Frame, bitdepth: np.uint = 8): - for plane in frame: - convert_output(plane, bitdepth).tofile(fout) - - -def encode_image(input, codec: CodecInfo, output): - if Path(input).suffix == ".yuv": - # encode first frame of YUV sequence only - org_seq = RawVideoSequence.from_file(input) - bitdepth = org_seq.bitdepth - max_val = 2**bitdepth - 1 - if org_seq.format != VideoFormat.YUV420: - raise NotImplementedError(f"Unsupported video format: {org_seq.format}") - x = convert_yuv420_rgb(org_seq[0], codec.device, max_val) - else: - img = load_image(input) - x = img2torch(img).to(codec.device) - bitdepth = 8 - - h, w = x.size(2), x.size(3) - p = 64 # maximum 6 strides of 2 - x = pad(x, p) - - with torch.no_grad(): - out = codec.net.compress(x) - - shape = out["shape"] - - with Path(output).open("wb") as f: - write_uchars(f, codec.codec_header) - # write original image size - write_uints(f, (h, w)) - # write original bitdepth - write_uchars(f, (bitdepth,)) - # write shape and number of encoded latents - write_body(f, shape, out["strings"]) - - size = filesize(output) - bpp = float(size) * 8 / (h * w) - - return {"bpp": bpp} - - -def encode_video(input, codec: CodecInfo, output): - if Path(input).suffix != ".yuv": - raise NotImplementedError( - f"Unsupported video file extension: {Path(input).suffix}" - ) - - # encode frames of YUV sequence only - org_seq = RawVideoSequence.from_file(input) - bitdepth = org_seq.bitdepth - max_val = 2**bitdepth - 1 - if org_seq.format != VideoFormat.YUV420: - raise NotImplementedError(f"Unsupported video format: {org_seq.format}") - - num_frames = codec.codec_header[2] - if num_frames < 0: - num_frames = org_seq.total_frms - - avg_frame_enc_time = [] - - f = Path(output).open("wb") - with torch.no_grad(): - # Write Video Header - write_uchars(f, codec.codec_header[0:2]) - # write original image size - write_uints(f, (org_seq.height, org_seq.width)) - # write original bitdepth - write_uchars(f, (bitdepth,)) - # write number of coded frames - write_uints(f, (num_frames,)) - - x_ref = None - with tqdm(total=num_frames) as pbar: - for i in range(num_frames): - frm_enc_start = time.time() - - x_cur = convert_yuv420_rgb(org_seq[i], codec.device, max_val) - h, w = x_cur.size(2), x_cur.size(3) - p = 128 # maximum 7 strides of 2 - x_cur = pad(x_cur, p) - - if i == 0: - x_out, out_info = codec.net.encode_keyframe(x_cur) - write_body(f, out_info["shape"], out_info["strings"]) - else: - x_out, out_info = codec.net.encode_inter(x_cur, x_ref) - for shape, out in zip( - out_info["shape"].items(), out_info["strings"].items() - ): - write_body(f, shape[1], out[1]) - - x_ref = x_out.clamp(0, 1) - - avg_frame_enc_time.append((time.time() - frm_enc_start)) - - pbar.update(1) - - org_seq.close() - f.close() - - size = filesize(output) - bpp = float(size) * 8 / (h * w * num_frames) - - return {"bpp": bpp, "avg_frm_enc_time": np.mean(avg_frame_enc_time)} - - -def _encode(input, num_of_frames, model, metric, quality, coder, device, output): - encode_func = { - CodecType.IMAGE_CODEC: encode_image, - CodecType.VIDEO_CODEC: encode_video, - } - - compressai.set_entropy_coder(coder) - enc_start = time.time() - - start = time.time() - model_info = models[model] - net = model_info(quality=quality, metric=metric, pretrained=True).to(device).eval() - codec_type = ( - CodecType.IMAGE_CODEC if model in image_models else CodecType.VIDEO_CODEC - ) - - codec_header_info = get_header(model, metric, quality, num_of_frames, codec_type) - load_time = time.time() - start - - if not Path(input).is_file(): - raise FileNotFoundError(f"{input} does not exist") - - codec_info = CodecInfo(codec_header_info, None, None, net, device) - out = encode_func[codec_type](input, codec_info, output) - - enc_time = time.time() - enc_start - - print( - f"{out['bpp']:.3f} bpp |" - f" Encoded in {enc_time:.2f}s (model loading: {load_time:.2f}s)" - ) - - -def decode_image(f, codec: CodecInfo, output): - strings, shape = read_body(f) - with torch.no_grad(): - out = codec.net.decompress(strings, shape) - - x_hat = crop(out["x_hat"], codec.original_size) - - img = torch2img(x_hat) - - if output is not None: - if Path(output).suffix == ".yuv": - rec = convert_rgb_yuv420(x_hat) - with Path(output).open("wb") as fout: - write_frame(fout, rec, codec.original_bitdepth) - else: - img.save(output) - - return {"img": img} - - -def decode_video(f, codec: CodecInfo, output): - # read number of coded frames - num_frames = read_uints(f, 1)[0] - - avg_frame_dec_time = [] - - with torch.no_grad(): - x_ref = None - with tqdm(total=num_frames) as pbar: - for i in range(num_frames): - frm_dec_start = time.time() - - if i == 0: - strings, shape = read_body(f) - x_out = codec.net.decode_keyframe(strings, shape) - else: - mstrings, mshape = read_body(f) - rstrings, rshape = read_body(f) - inter_strings = {"motion": mstrings, "residual": rstrings} - inter_shapes = {"motion": mshape, "residual": rshape} - - x_out = codec.net.decode_inter(x_ref, inter_strings, inter_shapes) - - x_ref = x_out.clamp(0, 1) - - avg_frame_dec_time.append((time.time() - frm_dec_start)) - - x_hat = crop(x_out, codec.original_size) - img = torch2img(x_hat) - - if output is not None: - if Path(output).suffix == ".yuv": - rec = convert_rgb_yuv420(x_hat) - wopt = "wb" if i == 0 else "ab" - with Path(output).open(wopt) as fout: - write_frame(fout, rec, codec.original_bitdepth) - else: - img.save(output) - - pbar.update(1) - - return {"img": img, "avg_frm_dec_time": np.mean(avg_frame_dec_time)} - - -def _decode(inputpath, coder, show, device, output=None): - decode_func = { - CodecType.IMAGE_CODEC: decode_image, - CodecType.VIDEO_CODEC: decode_video, - } - - compressai.set_entropy_coder(coder) - - dec_start = time.time() - with Path(inputpath).open("rb") as f: - model, metric, quality = parse_header(read_uchars(f, 2)) - - original_size = read_uints(f, 2) - original_bitdepth = read_uchars(f, 1)[0] - - start = time.time() - model_info = models[model] - net = ( - model_info(quality=quality, metric=metric, pretrained=True) - .to(device) - .eval() - ) - codec_type = ( - CodecType.IMAGE_CODEC if model in image_models else CodecType.VIDEO_CODEC - ) - - load_time = time.time() - start - print(f"Model: {model:s}, metric: {metric:s}, quality: {quality:d}") - - stream_info = CodecInfo(None, original_size, original_bitdepth, net, device) - out = decode_func[codec_type](f, stream_info, output) - - dec_time = time.time() - dec_start - print(f"Decoded in {dec_time:.2f}s (model loading: {load_time:.2f}s)") - - if show: - # For video, only the last frame is shown - show_image(out["img"]) - - -def show_image(img: Image.Image): - from matplotlib import pyplot as plt - - fig, ax = plt.subplots() - ax.axis("off") - ax.title.set_text("Decoded image") - ax.imshow(img) - fig.tight_layout() - plt.show() - - -def encode(argv): - parser = argparse.ArgumentParser(description="Encode image/video to bit-stream") - parser.add_argument( - "input", - type=str, - help="Input path, the first frame will be encoded with a NN image codec if the input is a raw yuv sequence", - ) - parser.add_argument( - "-f", - "--num_of_frames", - default=-1, - type=int, - help="Number of frames to be coded. -1 will encode all frames of input (default: %(default)s)", - ) - parser.add_argument( - "--model", - choices=models.keys(), - default=list(models.keys())[0], - help="NN model to use (default: %(default)s)", - ) - parser.add_argument( - "-m", - "--metric", - choices=metric_ids.keys(), - default="mse", - help="metric trained against (default: %(default)s)", - ) - parser.add_argument( - "-q", - "--quality", - choices=list(range(1, 9)), - type=int, - default=3, - help="Quality setting (default: %(default)s)", - ) - parser.add_argument( - "-c", - "--coder", - choices=compressai.available_entropy_coders(), - default=compressai.available_entropy_coders()[0], - help="Entropy coder (default: %(default)s)", - ) - parser.add_argument("-o", "--output", help="Output path") - parser.add_argument("--cuda", action="store_true", help="Use cuda") - args = parser.parse_args(argv) - if not args.output: - args.output = Path(Path(args.input).resolve().name).with_suffix(".bin") - - device = "cuda" if args.cuda and torch.cuda.is_available() else "cpu" - _encode( - args.input, - args.num_of_frames, - args.model, - args.metric, - args.quality, - args.coder, - device, - args.output, - ) - - -def decode(argv): - parser = argparse.ArgumentParser(description="Decode bit-stream to image/video") - parser.add_argument("input", type=str) - parser.add_argument( - "-c", - "--coder", - choices=compressai.available_entropy_coders(), - default=compressai.available_entropy_coders()[0], - help="Entropy coder (default: %(default)s)", - ) - parser.add_argument("--show", action="store_true") - parser.add_argument("-o", "--output", help="Output path") - parser.add_argument("--cuda", action="store_true", help="Use cuda") - args = parser.parse_args(argv) - device = "cuda" if args.cuda and torch.cuda.is_available() else "cpu" - _decode(args.input, args.coder, args.show, device, args.output) - - -def parse_args(argv): - parser = argparse.ArgumentParser(description="") - parser.add_argument("command", choices=["encode", "decode"]) - args = parser.parse_args(argv) - return args - - -def main(argv): - args = parse_args(argv[0:1]) - argv = argv[1:] - torch.set_num_threads(1) # just to be sure - if args.command == "encode": - encode(argv) - elif args.command == "decode": - decode(argv) - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/examples/train.py b/examples/train.py deleted file mode 100644 index 609b4b1..0000000 --- a/examples/train.py +++ /dev/null @@ -1,325 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import argparse -import random -import shutil -import sys - -import torch -import torch.nn as nn -import torch.optim as optim - -from torch.utils.data import DataLoader -from torchvision import transforms - -from compressai.datasets import ImageFolder -from compressai.losses import RateDistortionLoss -from compressai.optimizers import net_aux_optimizer -from compressai.zoo import image_models - - -class AverageMeter: - """Compute running average.""" - - def __init__(self): - self.val = 0 - self.avg = 0 - self.sum = 0 - self.count = 0 - - def update(self, val, n=1): - self.val = val - self.sum += val * n - self.count += n - self.avg = self.sum / self.count - - -class CustomDataParallel(nn.DataParallel): - """Custom DataParallel to access the module methods.""" - - def __getattr__(self, key): - try: - return super().__getattr__(key) - except AttributeError: - return getattr(self.module, key) - - -def configure_optimizers(net, args): - """Separate parameters for the main optimizer and the auxiliary optimizer. - Return two optimizers""" - conf = { - "net": {"type": "Adam", "lr": args.learning_rate}, - "aux": {"type": "Adam", "lr": args.aux_learning_rate}, - } - optimizer = net_aux_optimizer(net, conf) - return optimizer["net"], optimizer["aux"] - - -def train_one_epoch( - model, criterion, train_dataloader, optimizer, aux_optimizer, epoch, clip_max_norm -): - model.train() - device = next(model.parameters()).device - - for i, d in enumerate(train_dataloader): - d = d.to(device) - - optimizer.zero_grad() - aux_optimizer.zero_grad() - - out_net = model(d) - - out_criterion = criterion(out_net, d) - out_criterion["loss"].backward() - if clip_max_norm > 0: - torch.nn.utils.clip_grad_norm_(model.parameters(), clip_max_norm) - optimizer.step() - - aux_loss = model.aux_loss() - aux_loss.backward() - aux_optimizer.step() - - if i % 10 == 0: - print( - f"Train epoch {epoch}: [" - f"{i*len(d)}/{len(train_dataloader.dataset)}" - f" ({100. * i / len(train_dataloader):.0f}%)]" - f'\tLoss: {out_criterion["loss"].item():.3f} |' - f'\tMSE loss: {out_criterion["mse_loss"].item():.3f} |' - f'\tBpp loss: {out_criterion["bpp_loss"].item():.2f} |' - f"\tAux loss: {aux_loss.item():.2f}" - ) - - -def test_epoch(epoch, test_dataloader, model, criterion): - model.eval() - device = next(model.parameters()).device - - loss = AverageMeter() - bpp_loss = AverageMeter() - mse_loss = AverageMeter() - aux_loss = AverageMeter() - - with torch.no_grad(): - for d in test_dataloader: - d = d.to(device) - out_net = model(d) - out_criterion = criterion(out_net, d) - - aux_loss.update(model.aux_loss()) - bpp_loss.update(out_criterion["bpp_loss"]) - loss.update(out_criterion["loss"]) - mse_loss.update(out_criterion["mse_loss"]) - - print( - f"Test epoch {epoch}: Average losses:" - f"\tLoss: {loss.avg:.3f} |" - f"\tMSE loss: {mse_loss.avg:.3f} |" - f"\tBpp loss: {bpp_loss.avg:.2f} |" - f"\tAux loss: {aux_loss.avg:.2f}\n" - ) - - return loss.avg - - -def save_checkpoint(state, is_best, filename="checkpoint.pth.tar"): - torch.save(state, filename) - if is_best: - shutil.copyfile(filename, "checkpoint_best_loss.pth.tar") - - -def parse_args(argv): - parser = argparse.ArgumentParser(description="Example training script.") - parser.add_argument( - "-m", - "--model", - default="bmshj2018-factorized", - choices=image_models.keys(), - help="Model architecture (default: %(default)s)", - ) - parser.add_argument( - "-d", "--dataset", type=str, required=True, help="Training dataset" - ) - parser.add_argument( - "-e", - "--epochs", - default=100, - type=int, - help="Number of epochs (default: %(default)s)", - ) - parser.add_argument( - "-lr", - "--learning-rate", - default=1e-4, - type=float, - help="Learning rate (default: %(default)s)", - ) - parser.add_argument( - "-n", - "--num-workers", - type=int, - default=4, - help="Dataloaders threads (default: %(default)s)", - ) - parser.add_argument( - "--lambda", - dest="lmbda", - type=float, - default=1e-2, - help="Bit-rate distortion parameter (default: %(default)s)", - ) - parser.add_argument( - "--batch-size", type=int, default=16, help="Batch size (default: %(default)s)" - ) - parser.add_argument( - "--test-batch-size", - type=int, - default=64, - help="Test batch size (default: %(default)s)", - ) - parser.add_argument( - "--aux-learning-rate", - type=float, - default=1e-3, - help="Auxiliary loss learning rate (default: %(default)s)", - ) - parser.add_argument( - "--patch-size", - type=int, - nargs=2, - default=(256, 256), - help="Size of the patches to be cropped (default: %(default)s)", - ) - parser.add_argument("--cuda", action="store_true", help="Use cuda") - parser.add_argument( - "--save", action="store_true", default=True, help="Save model to disk" - ) - parser.add_argument("--seed", type=int, help="Set random seed for reproducibility") - parser.add_argument( - "--clip_max_norm", - default=1.0, - type=float, - help="gradient clipping max norm (default: %(default)s", - ) - parser.add_argument("--checkpoint", type=str, help="Path to a checkpoint") - args = parser.parse_args(argv) - return args - - -def main(argv): - args = parse_args(argv) - - if args.seed is not None: - torch.manual_seed(args.seed) - random.seed(args.seed) - - train_transforms = transforms.Compose( - [transforms.RandomCrop(args.patch_size), transforms.ToTensor()] - ) - - test_transforms = transforms.Compose( - [transforms.CenterCrop(args.patch_size), transforms.ToTensor()] - ) - - train_dataset = ImageFolder(args.dataset, split="train", transform=train_transforms) - test_dataset = ImageFolder(args.dataset, split="test", transform=test_transforms) - - device = "cuda" if args.cuda and torch.cuda.is_available() else "cpu" - - train_dataloader = DataLoader( - train_dataset, - batch_size=args.batch_size, - num_workers=args.num_workers, - shuffle=True, - pin_memory=(device == "cuda"), - ) - - test_dataloader = DataLoader( - test_dataset, - batch_size=args.test_batch_size, - num_workers=args.num_workers, - shuffle=False, - pin_memory=(device == "cuda"), - ) - - net = image_models[args.model](quality=3) - net = net.to(device) - - if args.cuda and torch.cuda.device_count() > 1: - net = CustomDataParallel(net) - - optimizer, aux_optimizer = configure_optimizers(net, args) - lr_scheduler = optim.lr_scheduler.ReduceLROnPlateau(optimizer, "min") - criterion = RateDistortionLoss(lmbda=args.lmbda) - - last_epoch = 0 - if args.checkpoint: # load from previous checkpoint - print("Loading", args.checkpoint) - checkpoint = torch.load(args.checkpoint, map_location=device) - last_epoch = checkpoint["epoch"] + 1 - net.load_state_dict(checkpoint["state_dict"]) - optimizer.load_state_dict(checkpoint["optimizer"]) - aux_optimizer.load_state_dict(checkpoint["aux_optimizer"]) - lr_scheduler.load_state_dict(checkpoint["lr_scheduler"]) - - best_loss = float("inf") - for epoch in range(last_epoch, args.epochs): - print(f"Learning rate: {optimizer.param_groups[0]['lr']}") - train_one_epoch( - net, - criterion, - train_dataloader, - optimizer, - aux_optimizer, - epoch, - args.clip_max_norm, - ) - loss = test_epoch(epoch, test_dataloader, net, criterion) - lr_scheduler.step(loss) - - is_best = loss < best_loss - best_loss = min(loss, best_loss) - - if args.save: - save_checkpoint( - { - "epoch": epoch, - "state_dict": net.state_dict(), - "loss": loss, - "optimizer": optimizer.state_dict(), - "aux_optimizer": aux_optimizer.state_dict(), - "lr_scheduler": lr_scheduler.state_dict(), - }, - is_best, - ) - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/examples/train_video.py b/examples/train_video.py deleted file mode 100644 index 6911376..0000000 --- a/examples/train_video.py +++ /dev/null @@ -1,475 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import argparse -import math -import random -import shutil -import sys - -from collections import defaultdict -from typing import List - -import torch -import torch.nn as nn -import torch.optim as optim - -from torch.utils.data import DataLoader -from torchvision import transforms - -from compressai.datasets import VideoFolder -from compressai.optimizers import net_aux_optimizer -from compressai.zoo import video_models - - -def collect_likelihoods_list(likelihoods_list, num_pixels: int): - bpp_info_dict = defaultdict(int) - bpp_loss = 0 - - for i, frame_likelihoods in enumerate(likelihoods_list): - frame_bpp = 0 - for label, likelihoods in frame_likelihoods.items(): - label_bpp = 0 - for field, v in likelihoods.items(): - bpp = torch.log(v).sum(dim=(1, 2, 3)) / (-math.log(2) * num_pixels) - - bpp_loss += bpp - frame_bpp += bpp - label_bpp += bpp - - bpp_info_dict[f"bpp_loss.{label}"] += bpp.sum() - bpp_info_dict[f"bpp_loss.{label}.{i}.{field}"] = bpp.sum() - bpp_info_dict[f"bpp_loss.{label}.{i}"] = label_bpp.sum() - bpp_info_dict[f"bpp_loss.{i}"] = frame_bpp.sum() - return bpp_loss, bpp_info_dict - - -class RateDistortionLoss(nn.Module): - """Custom rate distortion loss with a Lagrangian parameter.""" - - def __init__(self, lmbda=1e-2, return_details: bool = False, bitdepth: int = 8): - super().__init__() - self.mse = nn.MSELoss(reduction="none") - self.lmbda = lmbda - self._scaling_functions = lambda x: (2**bitdepth - 1) ** 2 * x - self.return_details = bool(return_details) - - @staticmethod - def _get_rate(likelihoods_list, num_pixels): - return sum( - (torch.log(likelihoods).sum() / (-math.log(2) * num_pixels)) - for frame_likelihoods in likelihoods_list - for likelihoods in frame_likelihoods - ) - - def _get_scaled_distortion(self, x, target): - if not len(x) == len(target): - raise RuntimeError(f"len(x)={len(x)} != len(target)={len(target)})") - - nC = x.size(1) - if not nC == target.size(1): - raise RuntimeError( - "number of channels mismatches while computing distortion" - ) - - if isinstance(x, torch.Tensor): - x = x.chunk(x.size(1), dim=1) - - if isinstance(target, torch.Tensor): - target = target.chunk(target.size(1), dim=1) - - # compute metric over each component (eg: y, u and v) - metric_values = [] - for x0, x1 in zip(x, target): - v = self.mse(x0.float(), x1.float()) - if v.ndimension() == 4: - v = v.mean(dim=(1, 2, 3)) - metric_values.append(v) - metric_values = torch.stack(metric_values) - - # sum value over the components dimension - metric_value = torch.sum(metric_values.transpose(1, 0), dim=1) / nC - scaled_metric = self._scaling_functions(metric_value) - - return scaled_metric, metric_value - - @staticmethod - def _check_tensor(x) -> bool: - return (isinstance(x, torch.Tensor) and x.ndimension() == 4) or ( - isinstance(x, (tuple, list)) and isinstance(x[0], torch.Tensor) - ) - - @classmethod - def _check_tensors_list(cls, lst): - if ( - not isinstance(lst, (tuple, list)) - or len(lst) < 1 - or any(not cls._check_tensor(x) for x in lst) - ): - raise ValueError( - "Expected a list of 4D torch.Tensor (or tuples of) as input" - ) - - def forward(self, output, target): - assert isinstance(target, type(output["x_hat"])) - assert len(output["x_hat"]) == len(target) - - self._check_tensors_list(target) - self._check_tensors_list(output["x_hat"]) - - _, _, H, W = target[0].size() - num_frames = len(target) - out = {} - num_pixels = H * W * num_frames - - # Get scaled and raw loss distortions for each frame - scaled_distortions = [] - distortions = [] - for i, (x_hat, x) in enumerate(zip(output["x_hat"], target)): - scaled_distortion, distortion = self._get_scaled_distortion(x_hat, x) - - distortions.append(distortion) - scaled_distortions.append(scaled_distortion) - - if self.return_details: - out[f"frame{i}.mse_loss"] = distortion - # aggregate (over batch and frame dimensions). - out["mse_loss"] = torch.stack(distortions).mean() - - # average scaled_distortions accros the frames - scaled_distortions = sum(scaled_distortions) / num_frames - - assert isinstance(output["likelihoods"], list) - likelihoods_list = output.pop("likelihoods") - - # collect bpp info on noisy tensors (estimated differentiable entropy) - bpp_loss, bpp_info_dict = collect_likelihoods_list(likelihoods_list, num_pixels) - if self.return_details: - out.update(bpp_info_dict) # detailed bpp: per frame, per latent, etc... - - # now we either use a fixed lambda or try to balance between 2 lambdas - # based on a target bpp. - lambdas = torch.full_like(bpp_loss, self.lmbda) - - bpp_loss = bpp_loss.mean() - out["loss"] = (lambdas * scaled_distortions).mean() + bpp_loss - - out["distortion"] = scaled_distortions.mean() - out["bpp_loss"] = bpp_loss - return out - - -class AverageMeter: - """Compute running average.""" - - def __init__(self): - self.val = 0 - self.avg = 0 - self.sum = 0 - self.count = 0 - - def update(self, val, n=1): - self.val = val - self.sum += val * n - self.count += n - self.avg = self.sum / self.count - - -def compute_aux_loss(aux_list: List, backward=False): - aux_loss_sum = 0 - for aux_loss in aux_list: - aux_loss_sum += aux_loss - - if backward is True: - aux_loss.backward() - - return aux_loss_sum - - -def configure_optimizers(net, args): - """Separate parameters for the main optimizer and the auxiliary optimizer. - Return two optimizers""" - conf = { - "net": {"type": "Adam", "lr": args.learning_rate}, - "aux": {"type": "Adam", "lr": args.aux_learning_rate}, - } - optimizer = net_aux_optimizer(net, conf) - return optimizer["net"], optimizer["aux"] - - -def train_one_epoch( - model, criterion, train_dataloader, optimizer, aux_optimizer, epoch, clip_max_norm -): - model.train() - device = next(model.parameters()).device - - for i, batch in enumerate(train_dataloader): - d = [frames.to(device) for frames in batch] - - optimizer.zero_grad() - aux_optimizer.zero_grad() - - out_net = model(d) - - out_criterion = criterion(out_net, d) - out_criterion["loss"].backward() - if clip_max_norm > 0: - torch.nn.utils.clip_grad_norm_(model.parameters(), clip_max_norm) - optimizer.step() - - aux_loss = compute_aux_loss(model.aux_loss(), backward=True) - aux_optimizer.step() - - if i % 10 == 0: - print( - f"Train epoch {epoch}: [" - f"{i*len(d)}/{len(train_dataloader.dataset)}" - f" ({100. * i / len(train_dataloader):.0f}%)]" - f'\tLoss: {out_criterion["loss"].item():.3f} |' - f'\tMSE loss: {out_criterion["mse_loss"].item():.3f} |' - f'\tBpp loss: {out_criterion["bpp_loss"].item():.2f} |' - f"\tAux loss: {aux_loss.item():.2f}" - ) - - -def test_epoch(epoch, test_dataloader, model, criterion): - model.eval() - device = next(model.parameters()).device - - loss = AverageMeter() - bpp_loss = AverageMeter() - mse_loss = AverageMeter() - aux_loss = AverageMeter() - - with torch.no_grad(): - for batch in test_dataloader: - d = [frames.to(device) for frames in batch] - out_net = model(d) - out_criterion = criterion(out_net, d) - - aux_loss.update(compute_aux_loss(model.aux_loss())) - bpp_loss.update(out_criterion["bpp_loss"]) - loss.update(out_criterion["loss"]) - mse_loss.update(out_criterion["mse_loss"]) - - print( - f"Test epoch {epoch}: Average losses:" - f"\tLoss: {loss.avg:.3f} |" - f"\tMSE loss: {mse_loss.avg:.3f} |" - f"\tBpp loss: {bpp_loss.avg:.2f} |" - f"\tAux loss: {aux_loss.avg:.2f}\n" - ) - - return loss.avg - - -def save_checkpoint(state, is_best, filename="checkpoint.pth.tar"): - torch.save(state, filename) - if is_best: - shutil.copyfile(filename, "checkpoint_best_loss.pth.tar") - - -def parse_args(argv): - parser = argparse.ArgumentParser(description="Example training script.") - parser.add_argument( - "-m", - "--model", - default="ssf2020", - choices=video_models.keys(), - help="Model architecture (default: %(default)s)", - ) - parser.add_argument( - "-d", "--dataset", type=str, required=True, help="Training dataset" - ) - parser.add_argument( - "-e", - "--epochs", - default=100, - type=int, - help="Number of epochs (default: %(default)s)", - ) - parser.add_argument( - "-lr", - "--learning-rate", - default=1e-4, - type=float, - help="Learning rate (default: %(default)s)", - ) - parser.add_argument( - "-n", - "--num-workers", - type=int, - default=4, - help="Dataloaders threads (default: %(default)s)", - ) - parser.add_argument( - "--lambda", - dest="lmbda", - type=float, - default=1e-2, - help="Bit-rate distortion parameter (default: %(default)s)", - ) - parser.add_argument( - "--batch-size", type=int, default=16, help="Batch size (default: %(default)s)" - ) - parser.add_argument( - "--test-batch-size", - type=int, - default=64, - help="Test batch size (default: %(default)s)", - ) - parser.add_argument( - "--aux-learning-rate", - type=float, - default=1e-3, - help="Auxiliary loss learning rate (default: %(default)s)", - ) - parser.add_argument( - "--patch-size", - type=int, - nargs=2, - default=(256, 256), - help="Size of the patches to be cropped (default: %(default)s)", - ) - parser.add_argument("--cuda", action="store_true", help="Use cuda") - parser.add_argument( - "--save", action="store_true", default=True, help="Save model to disk" - ) - parser.add_argument("--seed", type=int, help="Set random seed for reproducibility") - parser.add_argument( - "--clip_max_norm", - default=1.0, - type=float, - help="gradient clipping max norm (default: %(default)s", - ) - parser.add_argument("--checkpoint", type=str, help="Path to a checkpoint") - args = parser.parse_args(argv) - return args - - -def main(argv): - args = parse_args(argv) - - if args.seed is not None: - torch.manual_seed(args.seed) - random.seed(args.seed) - - # Warning, the order of the transform composition should be kept. - train_transforms = transforms.Compose( - [transforms.ToTensor(), transforms.RandomCrop(args.patch_size)] - ) - - test_transforms = transforms.Compose( - [transforms.ToTensor(), transforms.CenterCrop(args.patch_size)] - ) - - train_dataset = VideoFolder( - args.dataset, - rnd_interval=True, - rnd_temp_order=True, - split="train", - transform=train_transforms, - ) - test_dataset = VideoFolder( - args.dataset, - rnd_interval=False, - rnd_temp_order=False, - split="test", - transform=test_transforms, - ) - - device = "cuda" if args.cuda and torch.cuda.is_available() else "cpu" - - train_dataloader = DataLoader( - train_dataset, - batch_size=args.batch_size, - num_workers=args.num_workers, - shuffle=True, - pin_memory=(device == "cuda"), - ) - - test_dataloader = DataLoader( - test_dataset, - batch_size=args.test_batch_size, - num_workers=args.num_workers, - shuffle=False, - pin_memory=(device == "cuda"), - ) - - net = video_models[args.model](quality=3) - net = net.to(device) - - optimizer, aux_optimizer = configure_optimizers(net, args) - lr_scheduler = optim.lr_scheduler.ReduceLROnPlateau(optimizer, "min") - criterion = RateDistortionLoss(lmbda=args.lmbda, return_details=True) - - last_epoch = 0 - if args.checkpoint: # load from previous checkpoint - print("Loading", args.checkpoint) - checkpoint = torch.load(args.checkpoint, map_location=device) - last_epoch = checkpoint["epoch"] + 1 - net.load_state_dict(checkpoint["state_dict"]) - optimizer.load_state_dict(checkpoint["optimizer"]) - aux_optimizer.load_state_dict(checkpoint["aux_optimizer"]) - lr_scheduler.load_state_dict(checkpoint["lr_scheduler"]) - - best_loss = float("inf") - for epoch in range(last_epoch, args.epochs): - print(f"Learning rate: {optimizer.param_groups[0]['lr']}") - train_one_epoch( - net, - criterion, - train_dataloader, - optimizer, - aux_optimizer, - epoch, - args.clip_max_norm, - ) - loss = test_epoch(epoch, test_dataloader, net, criterion) - lr_scheduler.step(loss) - - is_best = loss < best_loss - best_loss = min(loss, best_loss) - - if args.save: - save_checkpoint( - { - "epoch": epoch, - "state_dict": net.state_dict(), - "loss": loss, - "optimizer": optimizer.state_dict(), - "aux_optimizer": aux_optimizer.state_dict(), - "lr_scheduler": lr_scheduler.state_dict(), - }, - is_best, - ) - - -if __name__ == "__main__": - main(sys.argv[1:]) diff --git a/mypy.ini b/mypy.ini deleted file mode 100644 index fb68bd7..0000000 --- a/mypy.ini +++ /dev/null @@ -1,34 +0,0 @@ -[mypy] - -#ignore_missing_imports = True -files = compressai -pretty = True -show_error_codes = True - -[mypy-compressai.datasets.*] -ignore_errors = True - -[mypy-compressai._CXX.*] -ignore_errors = True -ignore_missing_imports = True - -[mypy-compressai.layers.*] -ignore_errors = True - -[mypy-compressai.models.*] -ignore_errors = True - -[mypy-compressai.utils.*] -ignore_errors = True - -[mypy-PIL.*] -ignore_missing_imports = True - -[mypy-range_coder] -ignore_missing_imports = True - -[mypy-scipy.*] -ignore_missing_imports = True - -[mypy-numpy.*] -ignore_missing_imports = True diff --git a/pyproject.toml b/pyproject.toml deleted file mode 100644 index ee56f18..0000000 --- a/pyproject.toml +++ /dev/null @@ -1,36 +0,0 @@ -[build-system] -requires = ["setuptools>=42", "wheel", "pybind11>=2.6.0",] -build-backend = "setuptools.build_meta" - -[tool.black] -line-length = 88 -target-version = ['py36', 'py37', 'py38', 'py39'] -include = '\.pyi?$' -exclude = ''' -/( - \.eggs - | \.git - | \.mypy_cache - | venv* - | _build - | build - | dist -)/ -''' - -[tool.isort] -multi_line_output = 3 -lines_between_types = 1 -include_trailing_comma = true -force_grid_wrap = 0 -use_parentheses = true -ensure_newline_before_comments = true -line_length = 88 -known_third_party = "PIL,pytorch_msssim,torchvision,torch" -skip_gitignore = true - -[tool.pytest.ini_options] -markers = [ - "pretrained: download and check pretrained models (slow, deselect with '-m \"not pretrained\"')", - "slow: all slow tests (pretrained models, train, etc...)", -] diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 5590824..0000000 --- a/requirements.txt +++ /dev/null @@ -1,114 +0,0 @@ -alabaster==0.7.12 -appdirs==1.4.4 -appnope==0.1.2 -argon2-cffi==20.1.0 -astroid==2.5.6 -async-generator==1.10 -attrs==20.3.0 -Babel==2.9.1 -backcall==0.2.0 -beautifulsoup4==4.9.3 -black==21.5b2 -bleach==3.3.0 -certifi==2020.12.5 -cffi==1.14.5 -chardet==4.0.0 -coverage==5.5 -cycler==0.10.0 -decorator==4.4.2 -defusedxml==0.6.0 -docutils==0.16 -entrypoints==0.3 -flake8==3.9.2 -flake8-bugbear==21.4.3 -flake8-comprehensions==3.5.0 -idna==2.10 -imagesize==1.2.0 -iniconfig==1.1.1 -ipykernel==5.4.3 -ipython==7.31.1 -ipython-genutils==0.2.0 -ipywidgets==7.6.3 -isort==5.8.0 -jedi==0.18.0 -Jinja2<3.1 -jsonschema==3.2.0 -jupyter==1.0.0 -jupyter-client==6.1.11 -jupyter-console==6.2.0 -jupyter-core==4.7.1 -jupyterlab-pygments==0.1.2 -jupyterlab-widgets==1.0.0 -kiwisolver==1.3.1 -lazy-object-proxy==1.4.3 -MarkupSafe==1.1.1 -matplotlib==3.3.4 -mccabe==0.6.1 -mistune==0.8.4 -mypy==0.812 -mypy-extensions==0.4.3 -nbclient==0.5.2 -nbconvert==6.0.7 -nbformat==5.1.3 -nest-asyncio==1.5.1 -notebook==6.4.12 -numpy==1.21.0 -packaging==20.9 -pandocfilters==1.4.3 -parso==0.8.1 -pathspec==0.8.1 -pexpect==4.8.0 -pickleshare==0.7.5 -Pillow==9.0.1 -pluggy==0.13.1 -prometheus-client==0.9.0 -prompt-toolkit==3.0.16 -ptyprocess==0.7.0 -py==1.10.0 -pybind11==2.6.2 -pycodestyle==2.7.0 -pycparser==2.20 -pyflakes==2.3.1 -Pygments==2.7.4 -pyparsing==2.4.7 -pyrsistent==0.17.3 -pytest==6.2.4 -pytest-cov==2.12.1 -python-dateutil==2.8.1 -pytorch-msssim==0.2.1 -pytz==2021.1 -pyupgrade==2.14.0 -pyzmq==22.0.2 -qtconsole==5.0.2 -QtPy==1.9.0 -regex==2020.11.13 -requests==2.25.1 -scipy==1.6.0 -Send2Trash==1.8.0 -six==1.15.0 -snowballstemmer==2.1.0 -soupsieve==2.2.1 -Sphinx==4.3.0 -furo==2021.10.9 -sphinxcontrib-applehelp==1.0.2 -sphinxcontrib-devhelp==1.0.2 -sphinxcontrib-htmlhelp==2.0.0 -sphinxcontrib-jsmath==1.0.1 -sphinxcontrib-qthelp==1.0.3 -sphinxcontrib-serializinghtml==1.1.5 -terminado==0.9.2 -testpath==0.4.4 -tokenize-rt==4.1.0 -toml==0.10.2 -torch==1.8.1 -torchvision==0.9.1 -tornado==6.1 -traitlets==5.0.5 -typed-ast==1.4.2 -typing-extensions==3.7.4.3 -urllib3==1.26.5 -wcwidth==0.2.5 -webencodings==0.5.1 -widgetsnbextension==3.5.1 -wrapt==1.12.1 -tqdm==4.62.3 diff --git a/results/Readme.md b/results/Readme.md deleted file mode 100644 index 974d2b8..0000000 --- a/results/Readme.md +++ /dev/null @@ -1,18 +0,0 @@ -# Results - -## Evaluate and plot rate-distortion curves -To evaluate and compare your model with existing methods: -- use compressai.utils.eval_model to evaluate your model -- check (and modify) the script examples/run-benchmarks.sh to run encode/decode with existing methods -- use compressai.utils.plot to obtain the rate-distortion curves (matplootlib or plotly) - -## Note on runtimes -The provided results using Compressai implementation contain runtimes that correspond to the average encode/decode time for each image of the corresponding test set. They have been obtained on a server equipped with Nvidia Quadro RTX 8000 and 80 Intel(R) Xeon(R) Gold 5218R CPU @ 2.10GHz. - -Please note that runtimes are provided as an indication. Direct comparisons with traditional codecs and standard reference models that run on 1 CPU only may not be relevant. - -## Note on reconstructed images for metrics computations -The original PSNR and MS-SSIM results were computed on floating point reconstructed pictures (for images models only). -To make the comparisons fairer with traditional codecs, a folder "8bit-decoded" has been added, where json files contain metrics computed on rescaled reconstructed images on 8bit, like the inputs. -The current implementation of compressai.utils.eval_model now includes the computation of metrics on 8bit reconstructed images. -Note that we found there are negligible differences in PSNR and MS-SSIM on average for the considered datasets, but could be sensible for a particular image at higher bpp. \ No newline at end of file diff --git a/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-factorized_ms-ssim_ans_cuda.json b/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-factorized_ms-ssim_ans_cuda.json deleted file mode 100644 index 2c870b4..0000000 --- a/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-factorized_ms-ssim_ans_cuda.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "name": "bmshj2018-factorized-mse-8bit", - "description": "Inference (ans)", - "results": { - "psnr-rgb": [ - 28.757572645551704, - 30.20928124631389, - 31.655090342746693, - 33.291450243317676, - 34.85975865567668, - 36.90955626026968, - 38.767849043513955, - 40.89969840746247 - ], - "ms-ssim-rgb": [ - 0.9301808201864864, - 0.9503051457780131, - 0.9648295486910959, - 0.9757413917712952, - 0.9833261072635651, - 0.9886736441194341, - 0.9924942837672287, - 0.9953091020664472 - ], - "bpp": [ - 0.11460563452931152, - 0.17061773947087167, - 0.2531158772035983, - 0.37383241154677577, - 0.5361005464517463, - 0.7822436377715004, - 1.0970717527786853, - 1.513915269246969 - ], - "encoding_time": [ - 0.22590900137183373, - 0.2246019130342462, - 0.22509450992841398, - 0.21752691536806942, - 0.22846683491481823, - 0.4261372504609354, - 0.4307372784346677, - 0.43242323666476135 - ], - "decoding_time": [ - 0.14065836520677202, - 0.1411250883273864, - 0.1449042223812489, - 0.14141419094600036, - 0.1541085752208581, - 0.27597723784071676, - 0.28299646431140685, - 0.3059892949093594 - ] - } -} \ No newline at end of file diff --git a/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-factorized_mse_ans_cuda.json b/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-factorized_mse_ans_cuda.json deleted file mode 100644 index 4b4c16d..0000000 --- a/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-factorized_mse_ans_cuda.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "name": "bmshj2018-factorized-mse-8bit", - "description": "Inference (ans)", - "results": { - "psnr-rgb": [ - 28.757572645551704, - 30.20928124631389, - 31.655090342746693, - 33.291450243317676, - 34.85975865567668, - 36.90955626026968, - 38.767849043513955, - 40.89969840746247 - ], - "ms-ssim-rgb": [ - 0.9301808201864864, - 0.9503051457780131, - 0.9648295486910959, - 0.9757413917712952, - 0.9833261072635651, - 0.9886736441194341, - 0.9924942837672287, - 0.9953091020664472 - ], - "bpp": [ - 0.11460563452931152, - 0.17061773947087167, - 0.2531158772035983, - 0.37383241154677577, - 0.5361005464517463, - 0.7822436377715004, - 1.0970717527786853, - 1.513915269246969 - ], - "encoding_time": [ - 0.22606830382614992, - 0.21905895967162056, - 0.22263345825538206, - 0.22293407193730386, - 0.21952164307069244, - 0.4216115300574999, - 0.41462191169181567, - 0.43884933396671594 - ], - "decoding_time": [ - 0.1394741160146306, - 0.13616650425985957, - 0.14068586236975167, - 0.14301773135581713, - 0.1471806068098947, - 0.2707422770810931, - 0.2832326192534372, - 0.3059709406970592 - ] - } -} \ No newline at end of file diff --git a/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-hyperprior_ms-ssim_ans_cuda.json b/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-hyperprior_ms-ssim_ans_cuda.json deleted file mode 100644 index 6730bde..0000000 --- a/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-hyperprior_ms-ssim_ans_cuda.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "name": "bmshj2018-hyperprior-mse-8bit", - "description": "Inference (ans)", - "results": { - "psnr-rgb": [ - 29.383747818764675, - 31.024903597456685, - 32.76871705858895, - 34.463975531331606, - 35.943905101733264, - 37.83794891700316, - 39.560979800277885, - 41.59919599468788 - ], - "ms-ssim-rgb": [ - 0.9360608039947038, - 0.9541257566280579, - 0.9673114723703834, - 0.977725832649831, - 0.984666904371776, - 0.9892027046573296, - 0.9925432888309608, - 0.9954512085807458 - ], - "bpp": [ - 0.1128588923862924, - 0.17040150272857507, - 0.24875330653497094, - 0.35645292786407534, - 0.48773663325532735, - 0.6810620588226269, - 0.9371421933337146, - 1.2791012951228626 - ], - "encoding_time": [ - 0.28663919347055844, - 0.28028766492779333, - 0.2817894046226244, - 0.27470116936758665, - 0.2849846997957551, - 0.4853471155916707, - 0.4929549600301164, - 0.4967045301801703 - ], - "decoding_time": [ - 0.17864053436879362, - 0.18051484327637748, - 0.18548573670762308, - 0.18026062879669533, - 0.19406974449586334, - 0.30658082479841253, - 0.31593149431635825, - 0.3300958751292711 - ] - } -} \ No newline at end of file diff --git a/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-hyperprior_mse_ans_cuda.json b/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-hyperprior_mse_ans_cuda.json deleted file mode 100644 index 9d57e95..0000000 --- a/results/image/8bit-decoded/clic2020-mobile/compressai-bmshj2018-hyperprior_mse_ans_cuda.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "name": "bmshj2018-hyperprior-mse-8bit", - "description": "Inference (ans)", - "results": { - "psnr-rgb": [ - 29.383747818764675, - 31.024903597456685, - 32.76871705858895, - 34.463975531331606, - 35.943905101733264, - 37.83794891700316, - 39.560979800277885, - 41.59919599468788 - ], - "ms-ssim-rgb": [ - 0.9360608039947038, - 0.9541257566280579, - 0.9673114723703834, - 0.977725832649831, - 0.984666904371776, - 0.9892027046573296, - 0.9925432888309608, - 0.9954512085807458 - ], - "bpp": [ - 0.1128588923862924, - 0.17040150272857507, - 0.24875330653497094, - 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"results": { - "psnr-rgb": [ - 30.44679771380478, - 31.84241704190715, - 33.126285381531446, - 34.90971519170183, - 36.36478101537469, - 37.77093861612041 - ], - "ms-ssim-rgb": [ - 0.9398024360115609, - 0.9568390762538053, - 0.9687264775961972, - 0.9778139527594105, - 0.9844149575474557, - 0.9889260902163688 - ], - "bpp": [ - 0.09943932045943034, - 0.14595487546883956, - 0.20476417860395177, - 0.30446307841817705, - 0.4215437893307184, - 0.572170795271508 - ], - "encoding_time": [ - 24.546320057986826, - 24.619515464546975, - 25.020919048384336, - 24.979981642090873, - 24.937083293882647, - 24.99759016545971 - ], - "decoding_time": [ - 79.33712663141529, - 79.19047781456722, - 80.90217686369178, - 79.6711050580057, - 79.79840090703428, - 79.83077027154772 - ] - } -} \ No newline at end of file diff --git a/results/image/8bit-decoded/clic2020-mobile/compressai-cheng2020-attn_mse_ans_cuda.json b/results/image/8bit-decoded/clic2020-mobile/compressai-cheng2020-attn_mse_ans_cuda.json deleted file mode 100644 index 3d1c42e..0000000 --- a/results/image/8bit-decoded/clic2020-mobile/compressai-cheng2020-attn_mse_ans_cuda.json +++ /dev/null @@ -1,46 +0,0 @@ -{ - "name": "cheng2020-attn-mse-8bit", - "description": "Inference (ans)", - "results": { - "psnr-rgb": [ - 30.34167267231459, - 31.71185748496752, - 33.15965699613764, - 34.919926043306845, - 36.21910880656725, - 37.71631175480532 - ], - "ms-ssim-rgb": [ - 0.9407242318887389, - 0.9565258119883162, - 0.969494061523609, - 0.9785602779200907, - 0.9842678512750047, - 0.9888615236523446 - ], - "bpp": [ - 0.0966444569148125, - 0.13903395029458313, - 0.20232233603218436, - 0.31124437112371883, - 0.42185931331485793, - 0.57110438807825 - ], - "encoding_time": [ - 26.874483661705188, - 27.36752835418401, - 29.747962102461397, - 27.259199388911217, - 27.480368521776093, - 26.986470179611377 - ], - "decoding_time": [ - 76.00084013215611, - 77.47618841990996, - 87.86199996310674, - 76.98322720741957, - 77.55916854906619, - 77.1056643697653 - ] - } -} \ No newline at end of file diff --git a/results/image/8bit-decoded/clic2020-mobile/compressai-mbt2018-mean_ms-ssim_ans_cuda.json b/results/image/8bit-decoded/clic2020-mobile/compressai-mbt2018-mean_ms-ssim_ans_cuda.json deleted file mode 100644 index 574b5e1..0000000 --- a/results/image/8bit-decoded/clic2020-mobile/compressai-mbt2018-mean_ms-ssim_ans_cuda.json +++ /dev/null @@ -1,56 +0,0 @@ -{ - "name": "mbt2018-mean-8bit", - "description": "Inference (ans)", - "results": { - "psnr-rgb": [ - 29.7058037211386, - 31.331077104204155, - 32.96968918703915, - 34.58829472573955, - 36.34904817516884, - 38.03299417388573, - 39.82743355397428, - 41.64238329683797 - ], - "ms-ssim-rgb": [ - 0.936694798844584, - 0.9552573176582208, - 0.9683086088534152, - 0.9780586050467545, - 0.984590711553445, - 0.9893434844659955, - 0.9929402306508482, - 0.9952730857924129 - ], - "bpp": [ - 0.10275695685548829, - 0.15767746700726593, - 0.23524146918385896, - 0.33978597393928334, - 0.4880394707572814, - 0.6599119162112771, - 0.9055214452673485, - 1.2250692244516617 - ], - "encoding_time": [ - 0.25976625453220326, - 0.2588966107100583, - 0.25997620754027634, - 0.2526728504159477, - 0.439596304732762, - 0.4386096482866266, - 0.4291221398985788, - 0.43392834368716465 - ], - "decoding_time": [ - 0.16026567207293563, - 0.16020903024780617, - 0.16828372237387668, - 0.1650802781072895, - 0.2729765042830049, - 0.2819896521193258, - 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] - } -} \ No newline at end of file diff --git a/setup.py b/setup.py deleted file mode 100644 index f0259df..0000000 --- a/setup.py +++ /dev/null @@ -1,155 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import os -import subprocess - -from pathlib import Path - -from pybind11.setup_helpers import Pybind11Extension, build_ext -from setuptools import find_packages, setup - -cwd = Path(__file__).resolve().parent - -package_name = "compressai" -version = "1.2.4.dev0" -git_hash = "unknown" - - -try: - git_hash = ( - subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=cwd).decode().strip() - ) -except (FileNotFoundError, subprocess.CalledProcessError): - pass - - -def write_version_file(): - path = cwd / package_name / "version.py" - with path.open("w") as f: - f.write(f'__version__ = "{version}"\n') - f.write(f'git_version = "{git_hash}"\n') - - -write_version_file() - - -def get_extensions(): - ext_dirs = cwd / package_name / "cpp_exts" - ext_modules = [] - - # Add rANS module - rans_lib_dir = cwd / "third_party/ryg_rans" - rans_ext_dir = ext_dirs / "rans" - - extra_compile_args = ["-std=c++17"] - if os.getenv("DEBUG_BUILD", None): - extra_compile_args += ["-O0", "-g", "-UNDEBUG"] - else: - extra_compile_args += ["-O3"] - ext_modules.append( - Pybind11Extension( - name=f"{package_name}.ans", - sources=[str(s) for s in rans_ext_dir.glob("*.cpp")], - language="c++", - include_dirs=[rans_lib_dir, rans_ext_dir], - extra_compile_args=extra_compile_args, - ) - ) - - # Add ops - ops_ext_dir = ext_dirs / "ops" - ext_modules.append( - Pybind11Extension( - name=f"{package_name}._CXX", - sources=[str(s) for s in ops_ext_dir.glob("*.cpp")], - language="c++", - extra_compile_args=extra_compile_args, - ) - ) - - return ext_modules - - -TEST_REQUIRES = ["pytest", "pytest-cov", "plotly"] -DEV_REQUIRES = TEST_REQUIRES + [ - "black", - "flake8", - "flake8-bugbear", - "flake8-comprehensions", - "isort", - "mypy", -] - - -def get_extra_requirements(): - extras_require = { - "test": TEST_REQUIRES, - "dev": DEV_REQUIRES, - "doc": ["sphinx", "sphinx-book-theme", "Jinja2<3.1"], - "tutorials": ["jupyter", "ipywidgets"], - } - extras_require["all"] = {req for reqs in extras_require.values() for req in reqs} - return extras_require - - -setup( - name=package_name, - version=version, - description="A PyTorch library and evaluation platform for end-to-end compression research", - url="https://github.com/InterDigitalInc/CompressAI", - author="InterDigital AI Lab", - author_email="compressai@interdigital.com", - packages=find_packages(exclude=("tests",)), - zip_safe=False, - python_requires=">=3.6", - install_requires=[ - "numpy", - "scipy", - "matplotlib", - "torch>=1.7.1", - "torchvision", - "pytorch-msssim", - ], - extras_require=get_extra_requirements(), - license="BSD 3-Clause Clear License", - classifiers=[ - "Development Status :: 3 - Alpha", - "Intended Audience :: Developers", - "Intended Audience :: Science/Research", - "License :: OSI Approved :: BSD License", - "Programming Language :: Python :: 3.6", - "Programming Language :: Python :: 3.7", - "Programming Language :: Python :: 3.8", - "Programming Language :: Python :: 3.9", - "Topic :: Scientific/Engineering :: Artificial Intelligence", - ], - ext_modules=get_extensions(), - cmdclass={"build_ext": build_ext}, -) diff --git a/tests/assets/dataset/image/stmalo_fracape.png b/tests/assets/dataset/image/stmalo_fracape.png deleted file mode 100644 index edab7ca..0000000 Binary files a/tests/assets/dataset/image/stmalo_fracape.png and /dev/null differ diff --git a/tests/assets/dataset/video/C_RaceHorses_2frames_832x480_30Hz_8bit_P420.yuv b/tests/assets/dataset/video/C_RaceHorses_2frames_832x480_30Hz_8bit_P420.yuv deleted file mode 100644 index 15b5916..0000000 --- a/tests/assets/dataset/video/C_RaceHorses_2frames_832x480_30Hz_8bit_P420.yuv +++ /dev/null @@ -1 +0,0 @@ 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0 - - with torch.no_grad(): - rv = net.decompress(strings_list, shape) - assert "x_hat" in rv - x_hat = rv["x_hat"] - assert x_hat.size() == x.size() - - mse = torch.mean((x - x_hat) ** 2) - psnr = -10 * torch.log10(mse).item() - assert 35 < psnr < 41 - - -class TestCodecExample: - @pytest.mark.skip(reason="find a better way to test this") - @pytest.mark.parametrize("model", ("bmshj2018-factorized",)) - def test_encode_decode_image(self, tmpdir, model): - cwd = Path(__file__).resolve().parent - rootdir = cwd.parent - - spec = importlib.util.spec_from_file_location( - "examples.codec", rootdir / "examples/codec.py" - ) - module = importlib.util.module_from_spec(spec) - spec.loader.exec_module(module) - inputpath = str(rootdir / "tests/assets/dataset/image/stmalo_fracape.png") - binpath = f"{tmpdir}/{model}_stmalo_fracape.bin" - argv = [ - "encode", - inputpath, - "--model", - model, - "-o", - binpath, - ] - module.main(argv) - - md5sum_bin = hashlib.md5(open(binpath, "rb").read()).hexdigest() - expected_md5sum_bin_file = ( - cwd / "expected" / f"md5sum-bin-{model}-stmalo_fracape.txt" - ) - if not expected_md5sum_bin_file.is_file(): - if not GENERATE_EXPECTED: - raise RuntimeError(f"Missing expected file {expected_md5sum_bin_file}") - - with expected_md5sum_bin_file.open("wt") as f: - f.write(md5sum_bin) - - with expected_md5sum_bin_file.open("r") as f: - expected_md5sum_bin = f.read() - - assert expected_md5sum_bin == md5sum_bin - - decpath = f"{tmpdir}/{model}_dec_stmalo_fracape.png" - argv = [ - "decode", - binpath, - "-o", - decpath, - ] - module.main(argv) - - md5sum_dec = hashlib.md5(open(decpath, "rb").read()).hexdigest() - expected_md5sum_dec_file = ( - cwd / "expected" / f"md5sum-dec-model-{model}-stmalo_fracape.txt" - ) - if not expected_md5sum_dec_file.is_file(): - if not GENERATE_EXPECTED: - raise RuntimeError(f"Missing expected file {expected_md5sum_dec_file}") - - with expected_md5sum_dec_file.open("wt") as f: - f.write(md5sum_dec) - - with expected_md5sum_dec_file.open("r") as f: - expected_md5sum_dec = f.read() - - assert expected_md5sum_dec == md5sum_dec - - @pytest.mark.skip(reason="find a better way to test this") - @pytest.mark.parametrize("model", ("ssf2020",)) - @pytest.mark.parametrize("nb_frames", ("1",)) - def test_encode_decode_video(self, tmpdir, model, nb_frames): - cwd = Path(__file__).resolve().parent - rootdir = cwd.parent - - spec = importlib.util.spec_from_file_location( - "examples.codec", rootdir / "examples/codec.py" - ) - module = importlib.util.module_from_spec(spec) - spec.loader.exec_module(module) - inputpath = str( - rootdir - / "tests/assets/dataset/video/C_RaceHorses_2frames_832x480_30Hz_8bit_P420.yuv" - ) - binpath = f"{tmpdir}/{model}_RaceHorses_{nb_frames}fr.bin" - argv = [ - "encode", - inputpath, - "--model", - model, - "-o", - binpath, - "-f", - nb_frames, - ] - module.main(argv) - - md5sum_bin = hashlib.md5(open(binpath, "rb").read()).hexdigest() - expected_md5sum_bin_file = ( - cwd / "expected" / f"md5sum-bin-{model}-RaceHorses-{nb_frames}fr.txt" - ) - if not expected_md5sum_bin_file.is_file(): - if not GENERATE_EXPECTED: - raise RuntimeError(f"Missing expected file {expected_md5sum_bin_file}") - - with expected_md5sum_bin_file.open("wt") as f: - f.write(md5sum_bin) - - with expected_md5sum_bin_file.open("r") as f: - expected_md5sum_bin = f.read() - - assert expected_md5sum_bin == md5sum_bin - - decpath = f"{tmpdir}/{model}_dec_C_RaceHorses_{nb_frames}fr.yuv" - argv = [ - "decode", - binpath, - "-o", - decpath, - ] - module.main(argv) - - md5sum_dec = hashlib.md5(open(decpath, "rb").read()).hexdigest() - expected_md5sum_dec_file = ( - cwd / "expected" / f"md5sum-dec-model-{model}-RaceHorses_{nb_frames}fr.txt" - ) - if not expected_md5sum_dec_file.is_file(): - if not GENERATE_EXPECTED: - raise RuntimeError(f"Missing expected file {expected_md5sum_dec_file}") - - with expected_md5sum_dec_file.open("wt") as f: - f.write(md5sum_dec) - - with expected_md5sum_dec_file.open("r") as f: - expected_md5sum_dec = f.read() - - assert expected_md5sum_dec == md5sum_dec diff --git a/tests/test_coder.py b/tests/test_coder.py deleted file mode 100644 index a7cdea0..0000000 --- a/tests/test_coder.py +++ /dev/null @@ -1,50 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import pytest - -import compressai - - -def test_get_entropy_coder(): - assert compressai.get_entropy_coder() == "ans" - - -def test_available_entropy_coders(): - rv = compressai.available_entropy_coders() - - assert isinstance(rv, list) - assert "ans" in rv - - -def test_set_entropy_coder(): - compressai.set_entropy_coder("ans") - - with pytest.raises(ValueError): - compressai.set_entropy_coder("cabac") diff --git a/tests/test_datasets.py b/tests/test_datasets.py deleted file mode 100644 index cdee407..0000000 --- a/tests/test_datasets.py +++ /dev/null @@ -1,88 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import pytest -import torch - -from PIL import Image -from torchvision import transforms - -from compressai.datasets import ImageFolder - - -def save_fake_image(filepath, size=(512, 512)): - img = Image.new("RGB", size=size) - img.save(filepath) - - -class TestImageFolder: - def test_init_ok(self, tmpdir): - tmpdir.mkdir("train") - tmpdir.mkdir("test") - - train_dataset = ImageFolder(tmpdir, split="train") - test_dataset = ImageFolder(tmpdir, split="test") - - assert len(train_dataset) == 0 - assert len(test_dataset) == 0 - - def test_count_ok(self, tmpdir): - tmpdir.mkdir("train") - (tmpdir / "train" / "img1.jpg").write("") - (tmpdir / "train" / "img2.jpg").write("") - (tmpdir / "train" / "img3.jpg").write("") - - train_dataset = ImageFolder(tmpdir, split="train") - - assert len(train_dataset) == 3 - - def test_invalid_dir(self, tmpdir): - with pytest.raises(RuntimeError): - ImageFolder(tmpdir) - - def test_load(self, tmpdir): - tmpdir.mkdir("train") - save_fake_image((tmpdir / "train" / "img0.jpeg").strpath) - - train_dataset = ImageFolder(tmpdir, split="train") - assert isinstance(train_dataset[0], Image.Image) - - def test_load_transforms(self, tmpdir): - tmpdir.mkdir("train") - save_fake_image((tmpdir / "train" / "img0.jpeg").strpath) - - transform = transforms.Compose( - [ - transforms.CenterCrop((128, 128)), - transforms.ToTensor(), - ] - ) - train_dataset = ImageFolder(tmpdir, split="train", transform=transform) - assert isinstance(train_dataset[0], torch.Tensor) - assert train_dataset[0].size() == (3, 128, 128) diff --git a/tests/test_datasets_video.py b/tests/test_datasets_video.py deleted file mode 100644 index 445d1a8..0000000 --- a/tests/test_datasets_video.py +++ /dev/null @@ -1,112 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from pathlib import Path -from typing import Tuple - -import pytest -import torch - -from PIL import Image -from torchvision import transforms - -from compressai.datasets.video import VideoFolder - - -def save_fake_video(videopath: Path, size: Tuple = (512, 512)): - frames = [Image.new("RGB", size=size) for _ in range(3)] - for i in range(3): - frames[i].save(f"{videopath}/img_{i}.jpg") - - -class TestVideoFolder: - def test_init_ok(self, tmpdir): - tmpdir.mkdir("sequences") - size = (512, 512) - train_transforms = transforms.Compose( - [transforms.ToTensor(), transforms.RandomCrop(size)] - ) - test_transforms = transforms.Compose( - [transforms.ToTensor(), transforms.CenterCrop(size)] - ) - trainsplitfile = Path(f"{tmpdir}/train.list") - testsplitfile = Path(f"{tmpdir}/test.list") - with open(trainsplitfile, "w") as f: - f.write("") - with open(testsplitfile, "w") as f: - f.write("") - - train_dataset = VideoFolder(tmpdir, split="train", transform=train_transforms) - test_dataset = VideoFolder(tmpdir, split="test", transform=test_transforms) - - assert len(train_dataset) == 0 - assert len(test_dataset) == 0 - - def test_count_ok(self, tmpdir): - tmpdir.mkdir("sequences") - tmpdir.mkdir("sequences/vid0") - tmpdir.mkdir("sequences/vid1") - size = (512, 512) - trainsplitfile = Path(f"{tmpdir}/train.list") - # testsplitfile = Path(f"{tmpdir}/test.list") - # splitdir = Path(f"{tmpdir}/sequences") - - with open(trainsplitfile, "w") as f: - f.write("vid0\nvid1") - - # continue oco - (tmpdir / "sequences" / "vid0" / "vid0_0.jpg").write("") - (tmpdir / "sequences" / "vid0" / "vid0_1.jpg").write("") - (tmpdir / "sequences" / "vid1" / "vid1_0.jpg").write("") - - train_transforms = transforms.Compose( - [transforms.ToTensor(), transforms.RandomCrop(size)] - ) - train_dataset = VideoFolder(tmpdir, split="train", transform=train_transforms) - - assert len(train_dataset) == 2 - - def test_invalid_dir(self, tmpdir): - with pytest.raises(RuntimeError): - VideoFolder(tmpdir) - - def test_load(self, tmpdir): - size = (512, 512) - tmpdir.mkdir("sequences") - tmpdir.mkdir("sequences/vid0") - trainsplitfile = Path(f"{tmpdir}/train.list") - with open(trainsplitfile, "w") as f: - f.write("vid0\n") - save_fake_video((tmpdir / "sequences" / "vid0").strpath) - train_transforms = transforms.Compose( - [transforms.ToTensor(), transforms.RandomCrop(size)] - ) - train_dataset = VideoFolder(tmpdir, split="train", transform=train_transforms) - print(type(train_dataset[0][0])) - assert isinstance(train_dataset[0][0], torch.Tensor) diff --git a/tests/test_entropy_models.py b/tests/test_entropy_models.py deleted file mode 100644 index 00c8328..0000000 --- a/tests/test_entropy_models.py +++ /dev/null @@ -1,425 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import copy - -import pytest -import torch - -from compressai.entropy_models import ( - EntropyBottleneck, - EntropyModel, - GaussianConditional, -) -from compressai.zoo import bmshj2018_factorized, bmshj2018_hyperprior - - -@pytest.fixture -def entropy_model(): - return EntropyModel() - - -class TestEntropyModel: - def test_quantize_invalid(self, entropy_model): - x = torch.rand(1, 3, 4, 4) - with pytest.raises(ValueError): - entropy_model.quantize(x, mode="toto") - - def test_quantize_noise(self, entropy_model): - x = torch.rand(1, 3, 4, 4) - y = entropy_model.quantize(x, "noise") - - assert y.shape == x.shape - assert ((y - x) <= 0.5).all() - assert ((y - x) >= -0.5).all() - assert (y != torch.round(x)).any() - - def test__quantize(self, entropy_model): - x = torch.rand(1, 3, 4, 4) - s = torch.rand(1).item() - torch.manual_seed(s) - y0 = entropy_model.quantize(x, "noise") - torch.manual_seed(s) - - with pytest.warns(UserWarning): - y1 = entropy_model._quantize(x, "noise") - assert (y0 == y1).all() - - def test_quantize_symbols(self, entropy_model): - x = torch.rand(1, 3, 4, 4) - y = entropy_model.quantize(x, "symbols") - - assert y.shape == x.shape - assert (y == torch.round(x).int()).all() - - def test_quantize_dequantize(self, entropy_model): - x = torch.rand(1, 3, 4, 4) - means = torch.rand(1, 3, 4, 4) - y = entropy_model.quantize(x, "dequantize", means) - - assert y.shape == x.shape - assert (y == torch.round(x - means) + means).all() - - def test_dequantize(self, entropy_model): - x = torch.randint(-32, 32, (1, 3, 4, 4)) - means = torch.rand(1, 3, 4, 4) - y = entropy_model.dequantize(x, means) - - assert y.shape == x.shape - assert y.type() == means.type() - - with pytest.warns(UserWarning): - yy = entropy_model._dequantize(x, means) - assert (yy == y).all() - - def test_forward(self, entropy_model): - with pytest.raises(NotImplementedError): - entropy_model() - - def test_invalid_coder(self): - with pytest.raises(ValueError): - EntropyModel(entropy_coder="huffman") - - with pytest.raises(ValueError): - EntropyModel(entropy_coder=0xFF) - - def test_invalid_inputs(self, entropy_model): - with pytest.raises(TypeError): - entropy_model.compress(torch.rand(1, 3)) - with pytest.raises(ValueError): - entropy_model.compress(torch.rand(1, 3), torch.rand(2, 3)) - with pytest.raises(ValueError): - entropy_model.compress(torch.rand(1, 3, 1, 1), torch.rand(2, 3)) - - def test_invalid_cdf(self, entropy_model): - x = torch.rand(1, 32, 16, 16) - indexes = torch.rand(1, 32, 16, 16) - with pytest.raises(ValueError): - entropy_model.compress(x, indexes) - - def test_invalid_cdf_length(self, entropy_model): - x = torch.rand(1, 32, 16, 16) - indexes = torch.rand(1, 32, 16, 16) - entropy_model._quantized_cdf.resize_(32, 1) - - with pytest.raises(ValueError): - entropy_model.compress(x, indexes) - - entropy_model._cdf_length.resize_(32, 1) - with pytest.raises(ValueError): - entropy_model.compress(x, indexes) - - def test_invalid_offsets(self, entropy_model): - x = torch.rand(1, 32, 16, 16) - indexes = torch.rand(1, 32, 16, 16) - entropy_model._quantized_cdf.resize_(32, 1) - entropy_model._cdf_length.resize_(32) - with pytest.raises(ValueError): - entropy_model.compress(x, indexes) - - def test_invalid_decompress(self, entropy_model): - with pytest.raises(TypeError): - entropy_model.decompress(["ssss"]) - - with pytest.raises(ValueError): - entropy_model.decompress("sss", torch.rand(1, 3, 4, 4)) - - with pytest.raises(ValueError): - entropy_model.decompress(["sss"], torch.rand(1, 4, 4)) - - with pytest.raises(ValueError): - entropy_model.decompress(["sss"], torch.rand(2, 4, 4)) - - with pytest.raises(ValueError): - entropy_model.decompress(["sss"], torch.rand(1, 4, 4), torch.rand(2, 4, 4)) - - -class TestEntropyBottleneck: - def test_forward_training(self): - entropy_bottleneck = EntropyBottleneck(128) - x = torch.rand(1, 128, 32, 32) - y, y_likelihoods = entropy_bottleneck(x) - - assert isinstance(entropy_bottleneck, EntropyModel) - assert y.shape == x.shape - assert y_likelihoods.shape == x.shape - - assert ((y - x) <= 0.5).all() - assert ((y - x) >= -0.5).all() - assert (y != torch.round(x)).any() - - def test_forward_inference_0D(self): - entropy_bottleneck = EntropyBottleneck(128) - entropy_bottleneck.eval() - x = torch.rand(1, 128) - y, y_likelihoods = entropy_bottleneck(x) - - assert y.shape == x.shape - assert y_likelihoods.shape == x.shape - - assert (y == torch.round(x)).all() - - def test_forward_inference_2D(self): - entropy_bottleneck = EntropyBottleneck(128) - entropy_bottleneck.eval() - x = torch.rand(1, 128, 32, 32) - y, y_likelihoods = entropy_bottleneck(x) - - assert y.shape == x.shape - assert y_likelihoods.shape == x.shape - - assert (y == torch.round(x)).all() - - def test_forward_inference_ND(self): - entropy_bottleneck = EntropyBottleneck(128) - entropy_bottleneck.eval() - - # Test 0D - x = torch.rand(1, 128) - y, y_likelihoods = entropy_bottleneck(x) - - assert y.shape == x.shape - assert y_likelihoods.shape == x.shape - - assert (y == torch.round(x)).all() - - # Test from 1 to 5 dimensions - for i in range(1, 6): - x = torch.rand(1, 128, *([4] * i)) - y, y_likelihoods = entropy_bottleneck(x) - - assert y.shape == x.shape - assert y_likelihoods.shape == x.shape - - assert (y == torch.round(x)).all() - - def test_loss(self): - entropy_bottleneck = EntropyBottleneck(128) - loss = entropy_bottleneck.loss() - - assert len(loss.size()) == 0 - assert loss.numel() == 1 - - # def test_scripting(self): - # entropy_bottleneck = EntropyBottleneck(128) - # x = torch.rand(1, 128, 32, 32) - - # torch.manual_seed(32) - # y0 = entropy_bottleneck(x) - - # m = torch.jit.script(entropy_bottleneck) - - # torch.manual_seed(32) - # y1 = m(x) - - # assert torch.allclose(y0[0], y1[0]) - # assert torch.all(y1[1] == 0) # not yet supported - - def test_update(self): - # get a pretrained model - net = bmshj2018_factorized(quality=1, pretrained=True).eval() - assert not net.update() - assert not net.update(force=False) - assert net.update(force=True) - - # def test_script(self): - # eb = EntropyBottleneck(32) - # eb = torch.jit.script(eb) - # x = torch.rand(1, 32, 4, 4) - # x_q, likelihoods = eb(x) - # assert (likelihoods == torch.zeros_like(x_q)).all() - - def test_compression_2D(self): - x = torch.rand(1, 128, 32, 32) - eb = EntropyBottleneck(128) - eb.update() - s = eb.compress(x) - x2 = eb.decompress(s, x.size()[2:]) - - assert torch.allclose(torch.round(x), x2) - - def test_compression_ND(self): - eb = EntropyBottleneck(128) - eb.update() - # Test 0D - x = torch.rand(1, 128) - s = eb.compress(x) - x2 = eb.decompress(s, []) - - assert torch.allclose(torch.round(x), x2) - - # Test from 1 to 5 dimensions - for i in range(1, 6): - x = torch.rand(1, 128, *([4] * i)) - s = eb.compress(x) - x2 = eb.decompress(s, x.size()[2:]) - - assert torch.allclose(torch.round(x), x2) - - -class TestGaussianConditional: - def test_invalid_scale_table(self): - with pytest.raises(ValueError): - GaussianConditional(1) - - with pytest.raises(ValueError): - GaussianConditional([]) - - with pytest.raises(ValueError): - GaussianConditional(()) - - with pytest.raises(ValueError): - GaussianConditional(torch.rand(10)) - - with pytest.raises(ValueError): - GaussianConditional([2, 1]) - - with pytest.raises(ValueError): - GaussianConditional([0, 1, 2]) - - with pytest.raises(ValueError): - GaussianConditional([], scale_bound=None) - - with pytest.raises(ValueError): - GaussianConditional([], scale_bound=-0.1) - - def test_forward_training(self): - gaussian_conditional = GaussianConditional(None) - x = torch.rand(1, 128, 32, 32) - scales = torch.rand(1, 128, 32, 32) - y, y_likelihoods = gaussian_conditional(x, scales) - - assert isinstance(gaussian_conditional, EntropyModel) - assert y.shape == x.shape - assert y_likelihoods.shape == x.shape - - assert ((y - x) <= 0.5).all() - assert ((y - x) >= -0.5).all() - assert (y != torch.round(x)).any() - - def test_forward_inference(self): - gaussian_conditional = GaussianConditional(None) - gaussian_conditional.eval() - x = torch.rand(1, 128, 32, 32) - scales = torch.rand(1, 128, 32, 32) - y, y_likelihoods = gaussian_conditional(x, scales) - - assert y.shape == x.shape - assert y_likelihoods.shape == x.shape - - assert (y == torch.round(x)).all() - - def test_forward_training_mean(self): - gaussian_conditional = GaussianConditional(None) - x = torch.rand(1, 128, 32, 32) - scales = torch.rand(1, 128, 32, 32) - means = torch.rand(1, 128, 32, 32) - y, y_likelihoods = gaussian_conditional(x, scales, means) - - assert y.shape == x.shape - assert y_likelihoods.shape == x.shape - - assert ((y - x) <= 0.5).all() - assert ((y - x) >= -0.5).all() - assert (y != torch.round(x)).any() - - def test_forward_inference_mean(self): - gaussian_conditional = GaussianConditional(None) - gaussian_conditional.eval() - x = torch.rand(1, 128, 32, 32) - scales = torch.rand(1, 128, 32, 32) - means = torch.rand(1, 128, 32, 32) - y, y_likelihoods = gaussian_conditional(x, scales, means) - - assert y.shape == x.shape - assert y_likelihoods.shape == x.shape - - assert (y == torch.round(x - means) + means).all() - - # def test_scripting(self): - # gaussian_conditional = GaussianConditional(None) - # x = torch.rand(1, 128, 32, 32) - # scales = torch.rand(1, 128, 32, 32) - # means = torch.rand(1, 128, 32, 32) - - # torch.manual_seed(32) - # y0 = gaussian_conditional(x, scales, means) - - # m = torch.jit.script(gaussian_conditional) - - # torch.manual_seed(32) - # y1 = m(x, scales, means) - - # assert torch.allclose(y0[0], y1[0]) - # assert torch.allclose(y0[1], y1[1]) - - def test_update(self): - # get a pretrained model - net = bmshj2018_hyperprior(quality=1, pretrained=True).eval() - assert not net.update() - assert not net.update(force=False) - - quantized_cdf = net.gaussian_conditional._quantized_cdf - offset = net.gaussian_conditional._offset - cdf_length = net.gaussian_conditional._cdf_length - assert net.update(force=True) - - def approx(a, b): - return ((a - b).abs() <= 2).all() - - assert approx(net.gaussian_conditional._cdf_length, cdf_length) - assert approx(net.gaussian_conditional._offset, offset) - assert approx(net.gaussian_conditional._quantized_cdf, quantized_cdf) - - -@pytest.mark.parametrize( - "model_cls,args", - ( - (EntropyBottleneck, (128,)), - (GaussianConditional, ([0.11, 1.0, 2.0],)), - (GaussianConditional, (None,)), - ), -) -def test_deepcopy(model_cls, args): - model = model_cls(*args) - model_copy = copy.deepcopy(model) - x = torch.rand(1, 128, 32, 32) - - if isinstance(model, GaussianConditional): - opts = (torch.rand_like(x), torch.rand_like(x)) - else: - opts = () - - torch.manual_seed(32) - y0 = model(x, *opts) - - torch.manual_seed(32) - y1 = model_copy(x, *opts) - - assert torch.allclose(y0[0], y1[0]) diff --git a/tests/test_eval_model.py b/tests/test_eval_model.py deleted file mode 100644 index dcbdb48..0000000 --- a/tests/test_eval_model.py +++ /dev/null @@ -1,183 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import importlib -import json -import os -import random - -import numpy as np -import pytest -import torch - -eval_model = importlib.import_module("compressai.utils.eval_model.__main__") -update_model = importlib.import_module("compressai.utils.update_model.__main__") - -# Example: GENERATE_EXPECTED=1 pytest -sx tests/test_eval_model.py -GENERATE_EXPECTED = os.getenv("GENERATE_EXPECTED") - - -def set_rng_seed(seed): - torch.manual_seed(seed) - random.seed(seed) - np.random.seed(seed) - - -def test_eval_model(): - with pytest.raises(SystemExit): - eval_model.main(["--help"]) - - with pytest.raises(SystemExit): - eval_model.main([]) - - with pytest.raises(SystemExit): - eval_model.main(["pretrained"]) - - with pytest.raises(SystemExit): - eval_model.main( - [ - "pretrained", - "-a", - "bmshj2018-factorized", - "-m", - "mse", - "-q", - "1", - ] - ) - - -@pytest.mark.parametrize("model", ("bmshj2018-factorized",)) -@pytest.mark.parametrize("quality", ("1", "4", "8")) -@pytest.mark.parametrize("metric", ("mse", "ms-ssim")) -@pytest.mark.parametrize("entropy_estimation", (False, True)) -def test_eval_model_pretrained( - capsys, model, quality, metric, entropy_estimation, tmpdir -): - here = os.path.dirname(__file__) - dirpath = os.path.join(here, "assets/dataset/image") - - cmd = [ - "pretrained", - dirpath, - "-a", - model, - "-m", - metric, - "-q", - quality, - ] - if entropy_estimation: - cmd += ["--entropy-estimation"] - eval_model.main(cmd) - - output = capsys.readouterr().out - output = json.loads(output) - expected = os.path.join( - here, - "expected", - f"eval_{int(entropy_estimation)}_{model}_{metric}_{quality}.json", - ) - - if not os.path.isfile(expected): - if not GENERATE_EXPECTED: - raise RuntimeError(f"Missing expected file {expected}") - with open(expected, "w") as f: - json.dump(output, f) - - with open(expected, "r") as f: - expected = json.loads(f.read()) - - for key in ("name", "description"): - assert expected[key] == output[key] - - for key in ("psnr-rgb", "ms-ssim-rgb", "bpp"): - if key not in expected["results"]: - continue - assert np.allclose( - expected["results"][key], output["results"][key], rtol=1e-4, atol=1e-4 - ) - - -@pytest.mark.parametrize("model_name", ("factorized-prior", "bmshj2018-factorized")) -def test_eval_model_ckpt( - tmp_path, - model_name, - tmpdir, -): - here = os.path.dirname(__file__) - parent = os.path.dirname(here) - - # fake training - datapath = os.path.join(here, "assets/fakedata/imagefolder") - spec = importlib.util.spec_from_file_location( - "examples.train", os.path.join(parent, "examples/train.py") - ) - module = importlib.util.module_from_spec(spec) - spec.loader.exec_module(module) - - argv = [ - "-m", - "bmshj2018-factorized", - "-d", - datapath, - "-e", - "1", - "--batch-size", - "1", - "--patch-size", - "48", - "64", - "--seed", - "0", - "--save", - ] - - os.chdir(tmp_path) - module.main(argv) - - checkpoint = "checkpoint_best_loss.pth.tar" - assert os.path.isfile(checkpoint) - - # update model - cmd = ["-a", model_name, "-n", "factorized", checkpoint] - update_model.main(cmd) - - # ckpt evaluation - dirpath = os.path.join(here, "assets/dataset/image") - checkpoint = next(f for f in os.listdir(tmp_path) if f.startswith("factorized-")) - cmd = [ - "checkpoint", - dirpath, - "-a", - "bmshj2018-factorized", - "-p", - checkpoint, - ] - eval_model.main(cmd) diff --git a/tests/test_eval_model_video.py b/tests/test_eval_model_video.py deleted file mode 100644 index 4ef0e69..0000000 --- a/tests/test_eval_model_video.py +++ /dev/null @@ -1,188 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import importlib -import json -import os -import random - -import numpy as np -import pytest -import torch - -eval_model = importlib.import_module("compressai.utils.video.eval_model.__main__") -update_model = importlib.import_module("compressai.utils.update_model.__main__") - -# Example: GENERATE_EXPECTED=1 pytest -sx tests/test_eval_model.py -GENERATE_EXPECTED = os.getenv("GENERATE_EXPECTED") - - -def set_rng_seed(seed): - torch.manual_seed(seed) - random.seed(seed) - np.random.seed(seed) - - -def test_eval_model_video(): - with pytest.raises(SystemExit): - eval_model.main(["--help"]) - - with pytest.raises(SystemExit): - eval_model.main([]) - - with pytest.raises(SystemExit): - eval_model.main(["pretrained"]) - - with pytest.raises(SystemExit): - eval_model.main( - [ - "pretrained", - ".", - "-a", - "ssf2020", - "-m", - "mse", - "-q", - "1", - ] - ) - - -# mse and entropy_estimation tested for now -@pytest.mark.parametrize("model", ("ssf2020",)) -@pytest.mark.parametrize("quality", ("1", "4", "8")) -@pytest.mark.parametrize("metric", ("mse",)) -@pytest.mark.parametrize("entropy_estimation", (True, False)) -def test_eval_model_pretrained( - capsys, model, quality, metric, entropy_estimation, tmpdir -): - here = os.path.dirname(__file__) - dirpath = os.path.join(here, "assets/dataset/video") - - cmd = [ - "pretrained", - dirpath, - str(tmpdir), - "-a", - model, - "-m", - metric, - "-q", - quality, - ] - if entropy_estimation: - cmd += ["--entropy-estimation"] - eval_model.main(cmd) - - output = capsys.readouterr().out - output = json.loads(output) - expected = os.path.join( - here, - "expected", - f"eval_{int(entropy_estimation)}_{model}_{metric}_{quality}.json", - ) - - if not os.path.isfile(expected): - if not GENERATE_EXPECTED: - raise RuntimeError(f"Missing expected file {expected}") - with open(expected, "w") as f: - json.dump(output, f) - - with open(expected, "r") as f: - expected = json.loads(f.read()) - - for key in ("name", "description"): - assert expected[key] == output[key] - - for key in ( - "psnr-y", - "psnr-u", - "psnr-v", - "psnr-yuv", - "psnr-rgb", - "ms-ssim-rgb", - "bitrate", - ): - if key not in expected["results"]: - continue - assert np.allclose( - expected["results"][key], output["results"][key], rtol=1e-4, atol=1e-4 - ) - - -# @pytest.mark.parametrize("model_name", ("ssf2020",)) -# def test_eval_model_ckpt(tmp_path, model_name): -# here = os.path.dirname(__file__) -# parent = os.path.dirname(here) - -# # fake training -# datapath = os.path.join(here, "assets/fakedata/imagefolder") -# spec = importlib.util.spec_from_file_location( -# "examples.train", os.path.join(parent, "examples/train_video.py") -# ) -# module = importlib.util.module_from_spec(spec) -# spec.loader.exec_module(module) - -# argv = [ -# "-d", -# datapath, -# "-e", -# "1", -# "--batch-size", -# "1", -# "--patch-size", -# "48", -# "64", -# "--seed", -# "0", -# "--save", -# ] - -# os.chdir(tmp_path) -# module.main(argv) - -# checkpoint = "checkpoint_best_loss.pth.tar" -# assert os.path.isfile(checkpoint) - -# # update model -# cmd = ["-a", model_name, "-n", "factorized", checkpoint] -# update_model.main(cmd) - -# # ckpt evaluation -# dirpath = os.path.join(here, "assets/dataset/image") -# checkpoint = next(f for f in os.listdir(tmp_path) if f.startswith("factorized-")) -# cmd = [ -# "checkpoint", -# dirpath, -# "-a", -# "bmshj2018-factorized", -# "-p", -# checkpoint, -# ] -# eval_model.main(cmd) diff --git a/tests/test_find_close.py b/tests/test_find_close.py deleted file mode 100644 index d32c654..0000000 --- a/tests/test_find_close.py +++ /dev/null @@ -1,72 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import importlib -import os -import re - -import pytest - -find_close = importlib.import_module("compressai.utils.find_close.__main__") - -# Example: GENERATE_EXPECTED=1 pytest -sx tests/test_find_close.py -GENERATE_EXPECTED = os.getenv("GENERATE_EXPECTED") - - -@pytest.mark.parametrize("codec", ("jpeg",)) -@pytest.mark.parametrize( - "metric, target", - ( - ("psnr-rgb", "30"), - ("bpp", "0.2"), - ), -) -def test_find_close(capsys, codec, metric, target): - here = os.path.dirname(__file__) - dirpath = os.path.join(here, "assets/dataset/image") - - cmd = [ - codec, - os.path.join(dirpath, "stmalo_fracape.png"), - target, - "-m", - metric, - ] - - find_close.main(cmd) - - output = capsys.readouterr().out - print(output) - match = next(re.finditer(rf"{metric}:\s([0-9]+\.[0-9]+)", output)) - - value = float(match.groups()[0]) - target = float(target) - - tol = 0.05 + 0.05 * abs(value) - assert abs(value - target) < tol diff --git a/tests/test_init.py b/tests/test_init.py deleted file mode 100644 index f21ff96..0000000 --- a/tests/test_init.py +++ /dev/null @@ -1,43 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - - -import re - - -def test_import_errors(): - import compressai - - del compressai - - -def test_version(): - from compressai.version import __version__ - - assert re.match(r"([0-9]+)\.([0-9]+)\.([0-9]+)([a-z]+[0-9]+)?", __version__) diff --git a/tests/test_layers.py b/tests/test_layers.py deleted file mode 100644 index 0ff1603..0000000 --- a/tests/test_layers.py +++ /dev/null @@ -1,222 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import pytest -import torch - -from compressai.layers import ( - GDN, - GDN1, - AttentionBlock, - MaskedConv2d, - QReLU, - ResidualBlock, - ResidualBlockUpsample, - ResidualBlockWithStride, -) - - -class TestMaskedConv2d: - @staticmethod - def test_mask_type(): - MaskedConv2d(1, 3, 3, mask_type="A") - MaskedConv2d(1, 3, 3, mask_type="B") - - with pytest.raises(ValueError): - MaskedConv2d(1, 3, 3, mask_type="C") - - @staticmethod - def test_mask_A(): - conv = MaskedConv2d(1, 3, 5, mask_type="A") - - assert (conv.mask[0] == conv.mask[1]).all() - assert (conv.mask[0] == conv.mask[2]).all() - - _, _, h, w = conv.mask.size() - a = torch.ones_like(conv.mask) - a[:, :, h // 2, w // 2 :] = 0 - a[:, :, h // 2 + 1 :] = 0 - - assert (conv.mask == a).all() - - @staticmethod - def test_mask_B(): - conv = MaskedConv2d(1, 3, 5, mask_type="B") - - assert (conv.mask[0] == conv.mask[1]).all() - assert (conv.mask[0] == conv.mask[2]).all() - - _, _, h, w = conv.mask.size() - b = torch.ones_like(conv.mask) - b[:, :, h // 2, w // 2 + 1 :] = 0 - b[:, :, h // 2 + 1 :] = 0 - - assert (conv.mask == b).all() - - @staticmethod - def test_mask_A_1d(): - conv = MaskedConv2d(1, 3, (1, 5), mask_type="A") - - assert (conv.mask[0] == conv.mask[1]).all() - assert (conv.mask[0] == conv.mask[2]).all() - - _, _, h, w = conv.mask.size() - a = torch.ones_like(conv.mask) - a[:, :, h // 2, w // 2 :] = 0 - a[:, :, h // 2 + 1 :] = 0 - - assert (conv.mask == a).all() - - @staticmethod - def test_mask_B_1d(): - conv = MaskedConv2d(3, 1, (5, 1), mask_type="B") - - assert (conv.mask[:, 0] == conv.mask[:, 1]).all() - assert (conv.mask[:, 0] == conv.mask[:, 2]).all() - - _, _, h, w = conv.mask.size() - b = torch.ones_like(conv.mask) - b[:, :, h // 2, w // 2 + 1 :] = 0 - b[:, :, h // 2 + 1 :] = 0 - - assert (conv.mask == b).all() - - @staticmethod - def test_mask_multiple(): - cfgs = [ - # (in, out, kernel_size) - (1, 3, 5), - (3, 1, 3), - (3, 3, 7), - ] - - for cfg in cfgs: - in_ch, out_ch, k = cfg - conv = MaskedConv2d(in_ch, out_ch, k, mask_type="A") - - assert conv.mask[0].sum() != 0 - assert (conv.mask - conv.mask[0]).sum() == 0 - - _, _, h, w = conv.mask.size() - a = torch.ones_like(conv.mask) - a[:, :, h // 2, w // 2 :] = 0 - a[:, :, h // 2 + 1 :] = 0 - - assert (conv.mask == a).all() - - -class TestGDN: - def test_gdn(self): - g = GDN(32) - x = torch.rand(1, 32, 16, 16, requires_grad=True) - y = g(x) - y.backward(x) - - assert y.shape == x.shape - assert x.grad is not None - assert x.grad.shape == x.shape - - y_ref = x / torch.sqrt(1 + 0.1 * (x**2)) - assert torch.allclose(y_ref, y) - - def test_igdn(self): - g = GDN(32, inverse=True) - x = torch.rand(1, 32, 16, 16, requires_grad=True) - y = g(x) - y.backward(x) - - assert y.shape == x.shape - assert x.grad is not None - assert x.grad.shape == x.shape - - y_ref = x * torch.sqrt(1 + 0.1 * (x**2)) - assert torch.allclose(y_ref, y) - - def test_gdn1(self): - g = GDN1(32) - x = torch.rand(1, 32, 16, 16, requires_grad=True) - y = g(x) - y.backward(x) - - assert y.shape == x.shape - assert x.grad is not None - assert x.grad.shape == x.shape - - y_ref = x / (1 + 0.1 * torch.abs(x)) - assert torch.allclose(y_ref, y) - - -def test_ResidualBlockWithStride(): - layer = ResidualBlockWithStride(32, 64, stride=1) - layer(torch.rand(1, 32, 4, 4)) - - layer = ResidualBlockWithStride(32, 32, stride=1) - layer(torch.rand(1, 32, 4, 4)) - - layer = ResidualBlockWithStride(32, 32, stride=2) - layer(torch.rand(1, 32, 4, 4)) - - layer = ResidualBlockWithStride(32, 64, stride=2) - layer(torch.rand(1, 32, 4, 4)) - - -def test_ResidualBlockUpsample(): - layer = ResidualBlockUpsample(8, 16) - layer(torch.rand(1, 8, 4, 4)) - - -def test_ResidualBlock(): - layer = ResidualBlock(8, 8) - layer(torch.rand(1, 8, 4, 4)) - - layer = ResidualBlock(8, 16) - layer(torch.rand(1, 8, 4, 4)) - - -def test_AttentionBlock(): - layer = AttentionBlock(8) - layer(torch.rand(1, 8, 4, 4)) - - -class TestQReLU: - @staticmethod - def test_QReLU(): - def qrelu(input, bit_depth=8, beta=100): - return QReLU.apply(input, bit_depth, beta) - - x = torch.rand(1, 32, 16, 16, requires_grad=True) - y = qrelu(x) - y.backward(x) - - assert y.shape == x.shape - assert x.grad is not None - assert x.grad.shape == x.shape - - y_ref = x.clamp(min=0, max=2**8 - 1) - assert torch.allclose(y_ref, y) diff --git a/tests/test_models.py b/tests/test_models.py deleted file mode 100644 index e995d51..0000000 --- a/tests/test_models.py +++ /dev/null @@ -1,301 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import pytest -import torch -import torch.nn as nn - -from compressai.entropy_models import EntropyBottleneck -from compressai.models.google import ( - SCALES_LEVELS, - SCALES_MAX, - SCALES_MIN, - CompressionModel, - FactorizedPrior, - JointAutoregressiveHierarchicalPriors, - MeanScaleHyperprior, - ScaleHyperprior, - get_scale_table, -) -from compressai.models.utils import ( - _update_registered_buffer, - find_named_module, - update_registered_buffers, -) -from compressai.models.video.google import ScaleSpaceFlow - - -class DummyCompressionModel(CompressionModel): - def __init__(self, entropy_bottleneck_channels): - super().__init__() - self.entropy_bottleneck = EntropyBottleneck(entropy_bottleneck_channels) - - -class TestCompressionModel: - def test_parameters(self): - model = DummyCompressionModel(32) - assert len(list(model.parameters())) == 15 - with pytest.raises(NotImplementedError): - model(torch.rand(1)) - - def test_init(self): - class Model(DummyCompressionModel): - def __init__(self): - super().__init__(3) - self.conv = nn.Conv2d(3, 3, 3) - self.deconv = nn.ConvTranspose2d(3, 3, 3) - self.original_conv = self.conv.weight - self.original_deconv = self.deconv.weight - - model = Model() - nn.init.kaiming_normal_(model.original_conv) - nn.init.kaiming_normal_(model.original_deconv) - - assert torch.allclose(model.original_conv, model.conv.weight) - assert torch.allclose(model.original_deconv, model.deconv.weight) - - -class TestModels: - def test_factorized_prior(self): - model = FactorizedPrior(128, 192) - x = torch.rand(1, 3, 64, 64) - out = model(x) - - assert "x_hat" in out - assert "likelihoods" in out - assert "y" in out["likelihoods"] - - assert out["x_hat"].shape == x.shape - - y_likelihoods_shape = out["likelihoods"]["y"].shape - assert y_likelihoods_shape[0] == x.shape[0] - assert y_likelihoods_shape[1] == 192 - assert y_likelihoods_shape[2] == x.shape[2] / 2**4 - assert y_likelihoods_shape[3] == x.shape[3] / 2**4 - - def test_scale_hyperprior(self, tmpdir): - model = ScaleHyperprior(128, 192) - x = torch.rand(1, 3, 64, 64) - out = model(x) - - assert "x_hat" in out - assert "likelihoods" in out - assert "y" in out["likelihoods"] - assert "z" in out["likelihoods"] - - assert out["x_hat"].shape == x.shape - - y_likelihoods_shape = out["likelihoods"]["y"].shape - assert y_likelihoods_shape[0] == x.shape[0] - assert y_likelihoods_shape[1] == 192 - assert y_likelihoods_shape[2] == x.shape[2] / 2**4 - assert y_likelihoods_shape[3] == x.shape[3] / 2**4 - - z_likelihoods_shape = out["likelihoods"]["z"].shape - assert z_likelihoods_shape[0] == x.shape[0] - assert z_likelihoods_shape[1] == 128 - assert z_likelihoods_shape[2] == x.shape[2] / 2**6 - assert z_likelihoods_shape[3] == x.shape[3] / 2**6 - - for sz in [(128, 128), (128, 192), (192, 128)]: - model = ScaleHyperprior(*sz) - filepath = tmpdir.join("model.pth.rar").strpath - torch.save(model.state_dict(), filepath) - loaded = ScaleHyperprior.from_state_dict(torch.load(filepath)) - assert model.N == loaded.N and model.M == loaded.M - - def test_mean_scale_hyperprior(self): - model = MeanScaleHyperprior(128, 192) - x = torch.rand(1, 3, 64, 64) - out = model(x) - - assert "x_hat" in out - assert "likelihoods" in out - assert "y" in out["likelihoods"] - assert "z" in out["likelihoods"] - - assert out["x_hat"].shape == x.shape - - y_likelihoods_shape = out["likelihoods"]["y"].shape - assert y_likelihoods_shape[0] == x.shape[0] - assert y_likelihoods_shape[1] == 192 - assert y_likelihoods_shape[2] == x.shape[2] / 2**4 - assert y_likelihoods_shape[3] == x.shape[3] / 2**4 - - z_likelihoods_shape = out["likelihoods"]["z"].shape - assert z_likelihoods_shape[0] == x.shape[0] - assert z_likelihoods_shape[1] == 128 - assert z_likelihoods_shape[2] == x.shape[2] / 2**6 - assert z_likelihoods_shape[3] == x.shape[3] / 2**6 - - def test_jarhp(self, tmpdir): - model = JointAutoregressiveHierarchicalPriors(128, 192) - x = torch.rand(1, 3, 64, 64) - out = model(x) - - assert "x_hat" in out - assert "likelihoods" in out - assert "y" in out["likelihoods"] - assert "z" in out["likelihoods"] - - assert out["x_hat"].shape == x.shape - - y_likelihoods_shape = out["likelihoods"]["y"].shape - assert y_likelihoods_shape[0] == x.shape[0] - assert y_likelihoods_shape[1] == 192 - assert y_likelihoods_shape[2] == x.shape[2] / 2**4 - assert y_likelihoods_shape[3] == x.shape[3] / 2**4 - - z_likelihoods_shape = out["likelihoods"]["z"].shape - assert z_likelihoods_shape[0] == x.shape[0] - assert z_likelihoods_shape[1] == 128 - assert z_likelihoods_shape[2] == x.shape[2] / 2**6 - assert z_likelihoods_shape[3] == x.shape[3] / 2**6 - - for sz in [(128, 128), (128, 192), (192, 128)]: - model = JointAutoregressiveHierarchicalPriors(*sz) - filepath = tmpdir.join("model.pth.rar").strpath - torch.save(model.state_dict(), filepath) - loaded = JointAutoregressiveHierarchicalPriors.from_state_dict( - torch.load(filepath) - ) - assert model.N == loaded.N and model.M == loaded.M - - def test_scale_space_flow(self): - model = ScaleSpaceFlow() - x = [torch.rand(1, 3, 128, 128), torch.rand(1, 3, 128, 128)] - out = model(x) - - assert "x_hat" in out - assert "likelihoods" in out - assert "keyframe" in out["likelihoods"][0] - assert "y" in out["likelihoods"][0]["keyframe"] - assert "z" in out["likelihoods"][0]["keyframe"] - - assert "motion" in out["likelihoods"][1] - assert "y" in out["likelihoods"][1]["motion"] - assert "z" in out["likelihoods"][1]["motion"] - - assert "residual" in out["likelihoods"][1] - assert "y" in out["likelihoods"][1]["residual"] - assert "z" in out["likelihoods"][1]["residual"] - - assert out["x_hat"][0].shape == x[0].shape - assert out["x_hat"][1].shape == x[1].shape - - y_likelihoods_shape = out["likelihoods"][0]["keyframe"]["y"].shape - assert y_likelihoods_shape[0] == x[0].shape[0] - assert y_likelihoods_shape[1] == 192 - assert y_likelihoods_shape[2] == x[0].shape[2] / 2**4 - assert y_likelihoods_shape[3] == x[0].shape[3] / 2**4 - - z_likelihoods_shape = out["likelihoods"][0]["keyframe"]["z"].shape - assert z_likelihoods_shape[0] == x[0].shape[0] - assert z_likelihoods_shape[1] == 192 - assert z_likelihoods_shape[2] == x[0].shape[2] / 2**7 # (128x128 input) - assert z_likelihoods_shape[3] == x[0].shape[3] / 2**7 - - y_likelihoods_shape = out["likelihoods"][1]["motion"]["y"].shape - assert y_likelihoods_shape[0] == x[1].shape[0] - assert y_likelihoods_shape[1] == 192 - assert y_likelihoods_shape[2] == x[1].shape[2] / 2**4 - assert y_likelihoods_shape[3] == x[1].shape[3] / 2**4 - - z_likelihoods_shape = out["likelihoods"][1]["motion"]["z"].shape - assert z_likelihoods_shape[0] == x[1].shape[0] - assert z_likelihoods_shape[1] == 192 - assert z_likelihoods_shape[2] == x[1].shape[2] / 2**7 # (128x128 input) - assert z_likelihoods_shape[3] == x[1].shape[3] / 2**7 - - y_likelihoods_shape = out["likelihoods"][1]["residual"]["y"].shape - assert y_likelihoods_shape[0] == x[1].shape[0] - assert y_likelihoods_shape[1] == 192 - assert y_likelihoods_shape[2] == x[1].shape[2] / 2**4 - assert y_likelihoods_shape[3] == x[1].shape[3] / 2**4 - - z_likelihoods_shape = out["likelihoods"][1]["residual"]["z"].shape - assert z_likelihoods_shape[0] == x[1].shape[0] - assert z_likelihoods_shape[1] == 192 - assert z_likelihoods_shape[2] == x[1].shape[2] / 2**7 # (128x128 input) - assert z_likelihoods_shape[3] == x[1].shape[3] / 2**7 - - -def test_scale_table_default(): - table = get_scale_table() - assert SCALES_MIN == 0.11 - assert SCALES_MAX == 256 - assert SCALES_LEVELS == 64 - assert table[0] == SCALES_MIN - assert table[-1] == SCALES_MAX - assert len(table.size()) == 1 - assert table.size(0) == SCALES_LEVELS - - -def test_scale_table_custom(): - table = get_scale_table(0.02, 1337, 32) - assert pytest.approx(table[0].item()) == 0.02 - assert pytest.approx(table[-1].item()) == 1337 - assert len(table.size()) == 1 - assert table.size(0) == 32 - - -class Foo(nn.Module): - def __init__(self): - super().__init__() - self.conv1 = nn.Conv2d(1, 3, 1) - self.conv2 = nn.Conv2d(3, 3, 1) - - -def test_find_named_module(): - assert find_named_module(Foo(), "conv3") is None - foo = Foo() - found = find_named_module(foo, "conv1") - assert found == foo.conv1 - - -def test_update_registered_buffers(): - foo = Foo() - with pytest.raises(ValueError): - update_registered_buffers(foo, "conv1", ["qweight"], {}) - - -def test_update_registered_buffer(): - foo = Foo() - - # non-registered buffer - state_dict = foo.state_dict() - state_dict["conv1.wweight"] = torch.rand(3) - with pytest.raises(RuntimeError): - _update_registered_buffer( - foo.conv1, "wweight", "conv1.wweight", state_dict, policy="resize" - ) - with pytest.raises(RuntimeError): - _update_registered_buffer( - foo.conv1, "wweight", "conv1.wweight", state_dict, policy="resize_if_empty" - ) diff --git a/tests/test_ops.py b/tests/test_ops.py deleted file mode 100644 index c1e4c59..0000000 --- a/tests/test_ops.py +++ /dev/null @@ -1,118 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import pytest -import torch - -from compressai._CXX import pmf_to_quantized_cdf -from compressai.ops import LowerBound, NonNegativeParametrizer, quantize_ste - - -class TestQuantizeSTE: - def test_quantize_ste_ok(self): - x = torch.rand(16) - assert (quantize_ste(x) == torch.round(x)).all() - - def test_quantize_ste_grads(self): - x = torch.rand(24, requires_grad=True) - y = quantize_ste(x) - y.backward(x) - assert x.grad is not None - assert (x.grad == x).all() - - -class TestLowerBound: - def test_lower_bound_ok(self): - x = torch.rand(16) - bound = torch.rand(1) - lower_bound = LowerBound(bound) - assert (lower_bound(x) == torch.max(x, bound)).all() - - def test_lower_bound_script(self): - x = torch.rand(16) - bound = torch.rand(1) - lower_bound = LowerBound(bound) - scripted = torch.jit.script(lower_bound) - assert (scripted(x) == torch.max(x, bound)).all() - - def test_lower_bound_grads(self): - x = torch.rand(16, requires_grad=True) - bound = torch.rand(1) - lower_bound = LowerBound(bound) - y = lower_bound(x) - y.backward(x) - - assert x.grad is not None - assert (x.grad == ((x >= bound) * x)).all() - - -class TestNonNegativeParametrizer: - def test_non_negative(self): - parametrizer = NonNegativeParametrizer() - x = torch.rand(1, 8, 8, 8) * 2 - 1 # [0, 1] -> [-1, 1] - x_reparam = parametrizer(x) - - assert x_reparam.shape == x.shape - assert x_reparam.min() >= 0 - - def test_non_negative_init(self): - parametrizer = NonNegativeParametrizer() - x = torch.rand(1, 8, 8, 8) * 2 - 1 - x_init = parametrizer.init(x) - - assert x_init.shape == x.shape - assert torch.allclose(x_init, torch.sqrt(torch.max(x, x - x)), atol=2**-18) - - def test_non_negative_min(self): - for _ in range(10): - minimum = torch.rand(1) - parametrizer = NonNegativeParametrizer(minimum.item()) - x = torch.rand(1, 8, 8, 8) * 2 - 1 - x_reparam = parametrizer(x) - - assert x_reparam.shape == x.shape - assert torch.allclose(x_reparam.min(), minimum) - - -class TestPmfToQuantizedCDF: - def test_ok(self): - out = pmf_to_quantized_cdf([0.1, 0.2, 0, 0], 16) - assert out == [0, 21845, 65534, 65535, 65536] - - def test_negative_prob(self): - with pytest.raises(ValueError): - pmf_to_quantized_cdf([1, 0, -1], 16) - - @pytest.mark.parametrize("v", ("inf", "-inf", "nan")) - def test_non_finite_prob(self, v): - with pytest.raises(ValueError): - pmf_to_quantized_cdf([1, 0, float(v)], 16) - - with pytest.raises(ValueError): - pmf_to_quantized_cdf([1, 0, float(v), 2, 3, 4], 16) diff --git a/tests/test_plot.py b/tests/test_plot.py deleted file mode 100644 index 373a139..0000000 --- a/tests/test_plot.py +++ /dev/null @@ -1,56 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import importlib -import os - -import matplotlib -import pytest - -matplotlib.use("Agg") - -plot = importlib.import_module("compressai.utils.plot.__main__") - - -@pytest.mark.parametrize("metric", ("psnr", "psnr-rgb", "ms-ssim-rgb")) -@pytest.mark.parametrize("backend", ("matplotlib", "plotly")) -def test_plot(metric, backend): - here = os.path.dirname(__file__) - filepath = os.path.join(here, "expected/eval_0_bmshj2018-factorized_mse_1.json") - cmd = [ - "-f", - filepath, - "--title", - "myplot", - "--metric", - metric, - "--backend", - backend, - ] - plot.main(cmd) diff --git a/tests/test_scripting.py b/tests/test_scripting.py deleted file mode 100644 index c3df01e..0000000 --- a/tests/test_scripting.py +++ /dev/null @@ -1,61 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import pytest -import torch - -from compressai.layers import GDN, GDN1, MaskedConv2d - - -class TestScripting: - def test_gdn(self): - g = GDN(128) - x = torch.rand(1, 128, 1, 1) - y0 = g(x) - - m = torch.jit.script(g) - y1 = m(x) - - assert torch.allclose(y0, y1) - - def test_gdn1(self): - g = GDN1(128) - x = torch.rand(1, 128, 1, 1) - y0 = g(x) - - m = torch.jit.script(g) - y1 = m(x) - - assert torch.allclose(y0, y1) - - def test_masked_conv_A(self): - conv = MaskedConv2d(3, 3, 3, padding=1) - - with pytest.raises(RuntimeError): - torch.jit.script(conv) diff --git a/tests/test_train.py b/tests/test_train.py deleted file mode 100644 index 3291bd8..0000000 --- a/tests/test_train.py +++ /dev/null @@ -1,96 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import importlib.util -import io -import os -import re - -from contextlib import redirect_stdout -from pathlib import Path - -import pytest - -# Example: GENERATE_EXPECTED=1 pytest -sx tests/test_eval_model.py -GENERATE_EXPECTED = os.getenv("GENERATE_EXPECTED") - - -@pytest.mark.slow -def test_train_example(): - cwd = Path(__file__).resolve().parent - rootdir = cwd.parent - - spec = importlib.util.spec_from_file_location( - "examples.train", rootdir / "examples/train.py" - ) - module = importlib.util.module_from_spec(spec) - spec.loader.exec_module(module) - - argv = [ - "-d", - str(rootdir / "tests/assets/fakedata/imagefolder"), - "-e", - "10", - "--batch-size", - "1", - "--patch-size", - "48", - "128", - "--seed", - "42", - "--num-workers", - "2", - ] - - f = io.StringIO() - with redirect_stdout(f): - module.main(argv) - log = f.getvalue() - - logpath = cwd / "expected" / "train_log_42.txt" - if not logpath.is_file(): - if not GENERATE_EXPECTED: - raise RuntimeError(f"Missing expected file {logpath}") - with logpath.open("w") as f: - f.write(log) - - with logpath.open("r") as f: - expected = f.read() - - test_values = [m[0] for m in re.findall(r"(?P([0-9]*[.])?[0-9]+)", log)] - expected_values = [ - m[0] for m in re.findall(r"(?P([0-9]*[.])?[0-9]+)", expected) - ] - - assert len(test_values) == len(expected_values) - for a, b in zip(test_values, expected_values): - try: - assert int(a) == int(b) - except ValueError: - assert float(a) == pytest.approx(float(b), rel=1e-3) diff --git a/tests/test_transforms.py b/tests/test_transforms.py deleted file mode 100644 index e715e0f..0000000 --- a/tests/test_transforms.py +++ /dev/null @@ -1,134 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import pytest -import torch - -from compressai.transforms import RGB2YCbCr, YCbCr2RGB, YUV420To444, YUV444To420 -from compressai.transforms.functional import ( - rgb2ycbcr, - ycbcr2rgb, - yuv_420_to_444, - yuv_444_to_420, -) - - -@pytest.mark.parametrize("func", (rgb2ycbcr, ycbcr2rgb)) -def test_invalid_input(func): - with pytest.raises(ValueError): - func(torch.rand(1, 3).numpy()) - - with pytest.raises(ValueError): - func(torch.rand(1, 3)) - - with pytest.raises(ValueError): - func(torch.rand(1, 4, 4, 4)) - - with pytest.raises(ValueError): - func(torch.rand(1, 3, 4, 4).int()) - - -@pytest.mark.parametrize("func", (rgb2ycbcr, ycbcr2rgb)) -def test_ok(func): - x = torch.rand(1, 3, 32, 32) - rv = func(x) - assert rv.size() == x.size() - assert rv.type() == x.type() - - x = torch.rand(3, 64, 64) - rv = func(x) - assert rv.size() == x.size() - assert rv.type() == x.type() - - -def test_round_trip(): - x = torch.rand(1, 3, 32, 32) - rv = ycbcr2rgb(rgb2ycbcr(x)) - assert torch.allclose(x, rv, atol=1e-5) - - rv = rgb2ycbcr(ycbcr2rgb(x)) - assert torch.allclose(x, rv, atol=1e-5) - - -def test_444_to_420(): - x = torch.rand(1, 3, 32, 32) - y, u, v = yuv_444_to_420(x) - - assert u.size(0) == v.size(0) == y.size(0) == x.size(0) - assert u.size(1) == v.size(1) == y.size(1) == 1 - assert y.size(2) == x.size(2) and y.size(3) == x.size(3) - assert u.size(2) == v.size(2) == (y.size(2) // 2) - assert u.size(3) == v.size(3) == (y.size(2) // 2) - - assert (x[:, [0]] == y).all() - - with pytest.raises(ValueError): - y, u, v = yuv_444_to_420(x, mode="toto") - - y, u, v = yuv_444_to_420(x.chunk(3, 1)) - - -def test_420_to_444(): - y = torch.rand(1, 1, 32, 32) - u = torch.rand(1, 1, 16, 16) - v = torch.rand(1, 1, 16, 16) - - with pytest.raises(ValueError): - yuv_420_to_444((y, u)) - - with pytest.raises(ValueError): - yuv_420_to_444((y, u, v), mode="bilateral") - - rv = yuv_420_to_444((y, u, v)) - assert isinstance(rv, torch.Tensor) - assert (rv[:, [0]] == y).all() - - rv = yuv_420_to_444((y, u, v), return_tuple=True) - assert all(isinstance(c, torch.Tensor) for c in rv) - assert (rv[0] == y).all() - assert rv[0].size() == rv[1].size() == rv[2].size() - - -def test_transforms(): - x = torch.rand(1, 3, 32, 32) - rv = RGB2YCbCr()(x) - assert rv.size() == x.size() - repr(RGB2YCbCr()) - - rv = YCbCr2RGB()(x) - assert rv.size() == x.size() - repr(YCbCr2RGB()) - - rv = YUV444To420()(x) - assert len(rv) == 3 - repr(YUV444To420()) - - rv = YUV420To444()(rv) - assert rv.size() == x.size() - repr(YUV420To444()) diff --git a/tests/test_update_model.py b/tests/test_update_model.py deleted file mode 100644 index 2b22d0b..0000000 --- a/tests/test_update_model.py +++ /dev/null @@ -1,149 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import importlib -import io - -from contextlib import redirect_stderr, redirect_stdout -from pathlib import Path - -import pytest -import torch - -from compressai.models.google import FactorizedPrior - -update_model_module = importlib.import_module("compressai.utils.update_model.__main__") - - -def run_update_model(*args): - fout, ferr = io.StringIO(), io.StringIO() - with redirect_stderr(ferr): - with redirect_stdout(fout): - update_model_module.main(map(str, args)) - return fout.getvalue(), ferr.getvalue() - - -def test_missing_filepath(): - with pytest.raises(SystemExit): - run_update_model() - - -def test_invalid_filepath(tmpdir): - # directory - with pytest.raises(RuntimeError): - run_update_model(tmpdir) - - # empty/invalid file - p = tmpdir.join("hello.txt") - p.write("") - with pytest.raises((EOFError, TypeError)): - run_update_model(p) - - -def test_valid(tmpdir): - p = tmpdir.join("model.pth.tar").strpath - - net = FactorizedPrior(32, 64) - torch.save(net.state_dict(), p) - - stdout, stderr = run_update_model( - p, "--architecture", "factorized-prior", "--dir", tmpdir - ) - assert len(stdout) == 0 - assert len(stderr) == 0 - - files = list(Path(tmpdir).glob("*.pth.tar")) - assert len(files) == 1 - - cdf_len = net.state_dict()["entropy_bottleneck._cdf_length"] - new_cdf_len = torch.load(files[0])["entropy_bottleneck._cdf_length"] - assert cdf_len.size(0) != new_cdf_len.size(0) - - -def test_valid_name(tmpdir): - p = tmpdir.join("model.pth.tar").strpath - - net = FactorizedPrior(32, 64) - torch.save(net.state_dict(), p) - - stdout, stderr = run_update_model( - p, "--architecture", "factorized-prior", "--dir", tmpdir, "--name", "yolo" - ) - assert len(stdout) == 0 - assert len(stderr) == 0 - - files = sorted(Path(tmpdir).glob("*.pth.tar")) - assert len(files) == 2 - - assert files[0].name == "model.pth.tar" - assert files[1].name[:5] == "yolo-" - - -def test_valid_no_update(tmpdir): - p = tmpdir.join("model.pth.tar").strpath - - net = FactorizedPrior(32, 64) - torch.save(net.state_dict(), p) - - stdout, stderr = run_update_model( - p, "--architecture", "factorized-prior", "--dir", tmpdir, "--no-update" - ) - assert len(stdout) == 0 - assert len(stderr) == 0 - - files = list(Path(tmpdir).glob("*.pth.tar")) - assert len(files) == 1 - - cdf_len = net.state_dict()["entropy_bottleneck._cdf_length"] - new_cdf_len = torch.load(files[0])["entropy_bottleneck._cdf_length"] - assert cdf_len.size(0) == new_cdf_len.size(0) - - -def test_invalid_model(tmpdir): - p = tmpdir.join("model.pth.tar").strpath - - net = FactorizedPrior(32, 64) - torch.save(net.state_dict(), p) - - with pytest.raises(SystemExit): - run_update_model(p, "--architecture", "foobar") - - -def test_load(tmpdir): - p = tmpdir.join("model.pth.tar").strpath - - net = FactorizedPrior(32, 64) - - for k in ["network", "state_dict"]: - torch.save({k: net.state_dict()}, p) - stdout, stderr = run_update_model( - p, "--architecture", "factorized-prior", "--dir", tmpdir - ) - assert len(stdout) == 0 - assert len(stderr) == 0 diff --git a/tests/test_waseda.py b/tests/test_waseda.py deleted file mode 100644 index 3057533..0000000 --- a/tests/test_waseda.py +++ /dev/null @@ -1,36 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -from compressai.models.waseda import Cheng2020Anchor -from compressai.zoo import cheng2020_anchor - - -def test_cheng2020_anchor(): - net = cheng2020_anchor(quality=1, pretrained=True, progress=False) - Cheng2020Anchor.from_state_dict(net.state_dict()) diff --git a/tests/test_zoo.py b/tests/test_zoo.py deleted file mode 100644 index 1fbe899..0000000 --- a/tests/test_zoo.py +++ /dev/null @@ -1,296 +0,0 @@ -# Copyright (c) 2021-2022, InterDigital Communications, Inc -# All rights reserved. - -# Redistribution and use in source and binary forms, with or without -# modification, are permitted (subject to the limitations in the disclaimer -# below) provided that the following conditions are met: - -# * Redistributions of source code must retain the above copyright notice, -# this list of conditions and the following disclaimer. -# * Redistributions in binary form must reproduce the above copyright notice, -# this list of conditions and the following disclaimer in the documentation -# and/or other materials provided with the distribution. -# * Neither the name of InterDigital Communications, Inc nor the names of its -# contributors may be used to endorse or promote products derived from this -# software without specific prior written permission. - -# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY -# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND -# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT -# NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A -# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR -# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, -# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, -# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; -# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, -# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR -# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF -# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. - -import pytest - -from compressai.models import ( - Cheng2020Anchor, - Cheng2020Attention, - FactorizedPrior, - JointAutoregressiveHierarchicalPriors, - MeanScaleHyperprior, - ScaleHyperprior, -) -from compressai.zoo import ( - bmshj2018_factorized, - bmshj2018_factorized_relu, - bmshj2018_hyperprior, - cheng2020_anchor, - cheng2020_attn, - mbt2018, - mbt2018_mean, -) -from compressai.zoo.image import _load_model - - -class TestLoadModel: - def test_invalid(self): - with pytest.raises(ValueError): - _load_model("yolo", "mse", 1) - - with pytest.raises(ValueError): - _load_model("mbt2018", "mse", 0) - - -class TestBmshj2018Factorized: - def test_params(self): - for i in range(1, 6): - net = bmshj2018_factorized(i, metric="mse", progress=False) - assert isinstance(net, FactorizedPrior) - assert net.state_dict()["g_a.0.weight"].size(0) == 128 - assert net.state_dict()["g_a.6.weight"].size(0) == 192 - - for i in range(6, 9): - net = bmshj2018_factorized(i, metric="mse", progress=False) - assert isinstance(net, FactorizedPrior) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - - def test_invalid_params(self): - with pytest.raises(ValueError): - bmshj2018_factorized(-1) - - with pytest.raises(ValueError): - bmshj2018_factorized(10) - - with pytest.raises(ValueError): - bmshj2018_factorized(10, metric="ssim") - - with pytest.raises(ValueError): - bmshj2018_factorized(1, metric="ssim") - - @pytest.mark.slow - @pytest.mark.pretrained - @pytest.mark.parametrize("metric", ("mse", "ms-ssim")) - def test_pretrained(self, metric): - for i in range(1, 6): - net = bmshj2018_factorized( - i, metric=metric, pretrained=True, progress=False - ) - assert net.state_dict()["g_a.0.weight"].size(0) == 128 - assert net.state_dict()["g_a.6.weight"].size(0) == 192 - - for i in range(6, 9): - net = bmshj2018_factorized( - i, metric=metric, pretrained=True, progress=False - ) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - assert net.state_dict()["g_a.6.weight"].size(0) == 320 - - -class TestBmshj2018FactorizedReLU: - def test_params(self): - for i in range(1, 6): - net = bmshj2018_factorized_relu(i, metric="mse", progress=False) - assert isinstance(net, FactorizedPrior) - assert net.state_dict()["g_a.0.weight"].size(0) == 128 - assert net.state_dict()["g_a.6.weight"].size(0) == 192 - - for i in range(6, 9): - net = bmshj2018_factorized_relu(i, metric="mse") - assert isinstance(net, FactorizedPrior) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - - def test_invalid_params(self): - with pytest.raises(ValueError): - bmshj2018_factorized_relu(-1) - - with pytest.raises(ValueError): - bmshj2018_factorized_relu(10) - - with pytest.raises(ValueError): - bmshj2018_factorized_relu(10, metric="ssim") - - with pytest.raises(ValueError): - bmshj2018_factorized_relu(1, metric="ssim") - - -class TestBmshj2018Hyperprior: - def test_params(self): - for i in range(1, 6): - net = bmshj2018_hyperprior(i, metric="mse", progress=False) - assert isinstance(net, ScaleHyperprior) - assert net.state_dict()["g_a.0.weight"].size(0) == 128 - assert net.state_dict()["g_a.6.weight"].size(0) == 192 - - for i in range(6, 9): - net = bmshj2018_hyperprior(i, metric="mse", progress=False) - assert isinstance(net, ScaleHyperprior) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - assert net.state_dict()["g_a.6.weight"].size(0) == 320 - - def test_invalid_params(self): - with pytest.raises(ValueError): - bmshj2018_hyperprior(-1) - - with pytest.raises(ValueError): - bmshj2018_hyperprior(10) - - with pytest.raises(ValueError): - bmshj2018_hyperprior(10, metric="ssim") - - with pytest.raises(ValueError): - bmshj2018_hyperprior(1, metric="ssim") - - @pytest.mark.slow - @pytest.mark.pretrained - @pytest.mark.parametrize("metric", ("mse", "ms-ssim")) - def test_pretrained(self, metric): - # test we can load the correct models from the urls - for i in range(1, 6): - net = bmshj2018_hyperprior( - i, metric=metric, pretrained=True, progress=False - ) - assert net.state_dict()["g_a.0.weight"].size(0) == 128 - assert net.state_dict()["g_a.6.weight"].size(0) == 192 - - for i in range(6, 9): - net = bmshj2018_hyperprior( - i, metric=metric, pretrained=True, progress=False - ) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - assert net.state_dict()["g_a.6.weight"].size(0) == 320 - - -class TestMbt2018Mean: - def test_parameters(self): - for i in range(1, 5): - net = mbt2018_mean(i, metric="mse", progress=False) - assert isinstance(net, MeanScaleHyperprior) - assert net.state_dict()["g_a.0.weight"].size(0) == 128 - assert net.state_dict()["g_a.6.weight"].size(0) == 192 - - for i in range(5, 9): - net = mbt2018_mean(i, metric="mse", progress=False) - assert isinstance(net, MeanScaleHyperprior) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - assert net.state_dict()["g_a.6.weight"].size(0) == 320 - - def test_invalid_params(self): - with pytest.raises(ValueError): - mbt2018_mean(-1) - - with pytest.raises(ValueError): - mbt2018_mean(10) - - with pytest.raises(ValueError): - mbt2018_mean(10, metric="ssim") - - with pytest.raises(ValueError): - mbt2018_mean(1, metric="ssim") - - @pytest.mark.slow - @pytest.mark.pretrained - @pytest.mark.parametrize("metric", ("mse", "ms-ssim")) - def test_pretrained(self, metric): - # test we can load the correct models from the urls - for i in range(1, 5): - net = mbt2018_mean(i, metric=metric, pretrained=True, progress=False) - assert net.state_dict()["g_a.0.weight"].size(0) == 128 - assert net.state_dict()["g_a.6.weight"].size(0) == 192 - - for i in range(5, 9): - net = mbt2018_mean(i, metric=metric, pretrained=True, progress=False) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - assert net.state_dict()["g_a.6.weight"].size(0) == 320 - - -class TestMbt2018: - def test_ok(self): - for i in range(1, 5): - net = mbt2018(i, metric="mse", progress=False) - assert isinstance(net, JointAutoregressiveHierarchicalPriors) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - assert net.state_dict()["g_a.6.weight"].size(0) == 192 - - for i in range(5, 9): - net = mbt2018(i, metric="mse", progress=False) - assert isinstance(net, JointAutoregressiveHierarchicalPriors) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - assert net.state_dict()["g_a.6.weight"].size(0) == 320 - - def test_invalid_params(self): - with pytest.raises(ValueError): - mbt2018(-1) - - with pytest.raises(ValueError): - mbt2018(10) - - with pytest.raises(ValueError): - mbt2018(10, metric="ssim") - - with pytest.raises(ValueError): - mbt2018(1, metric="ssim") - - @pytest.mark.slow - @pytest.mark.pretrained - @pytest.mark.parametrize("metric", ("mse", "ms-ssim")) - def test_pretrained(self, metric): - # test we can load the correct models from the urls - for i in range(1, 5): - net = mbt2018(i, metric=metric, pretrained=True, progress=False) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - assert net.state_dict()["g_a.6.weight"].size(0) == 192 - - for i in range(5, 9): - net = mbt2018(i, metric=metric, pretrained=True, progress=False) - assert net.state_dict()["g_a.0.weight"].size(0) == 192 - assert net.state_dict()["g_a.6.weight"].size(0) == 320 - - -class TestCheng2020: - @pytest.mark.parametrize( - "func,cls", - ( - (cheng2020_anchor, Cheng2020Anchor), - (cheng2020_attn, Cheng2020Attention), - ), - ) - def test_anchor_ok(self, func, cls): - for i in range(1, 4): - net = func(i, metric="mse", progress=False) - assert isinstance(net, cls) - assert net.state_dict()["g_a.0.conv1.weight"].size(0) == 128 - - for i in range(4, 7): - net = func(i, metric="mse", progress=False) - assert isinstance(net, cls) - assert net.state_dict()["g_a.0.conv1.weight"].size(0) == 192 - - @pytest.mark.slow - @pytest.mark.pretrained - @pytest.mark.parametrize("model_entrypoint", (cheng2020_anchor, cheng2020_attn)) - @pytest.mark.parametrize("metric", ("mse", "ms-ssim")) - def test_pretrained(self, model_entrypoint, metric): - for i in range(1, 4): - net = model_entrypoint(i, metric=metric, pretrained=True, progress=False) - assert net.state_dict()["g_a.0.conv1.weight"].size(0) == 128 - - for i in range(4, 7): - net = model_entrypoint(i, metric=metric, pretrained=True, progress=False) - assert net.state_dict()["g_a.0.conv1.weight"].size(0) in (128, 192) diff --git a/third_party/range_coder/range_coder_impl.cpp b/third_party/range_coder/range_coder_impl.cpp deleted file mode 100644 index f88c310..0000000 --- a/third_party/range_coder/range_coder_impl.cpp +++ /dev/null @@ -1,168 +0,0 @@ -#include "range_coder_impl.h" - -#include -#include -#include -#include - -void RangeEncoderImpl::encode(int32_t lower, int32_t upper, int precision, std::ostream &sink) { - assert(precision > 0); - assert(precision <= 16); - assert(lower >= 0); - assert(upper > lower); - assert((1 << precision) >= upper); - - const uint64_t size = static_cast(_size) + 1; - assert((size >> 16) != 0); - - const uint32_t a = (size * static_cast(lower)) >> precision; - const uint32_t b = ((size * static_cast(upper)) >> precision) - 1; - assert(a <= b); - - _base += a; - _size = b - a; - const bool base_overflow = (_base < a); - - if ((_base + _size) < _base) { - assert((((_base - a) + size) >> 32) != 0); - assert((_delay & 0xFFFF) != 0); - - if ((_size >> 16) == 0) { - assert((_base >> 16) == 0xFFFF); - - _base <<= 16; - _size <<= 16; - _size |= 0xFFFF; - - assert(_delay < (static_cast(1) << 62)); - _delay += 0x20000; - } - return; - } - - if (_delay != 0) { - if (base_overflow) { - assert(((static_cast(_base - a) + a) >> 32) != 0); - char c[2] = {static_cast(_delay >> 8), static_cast(_delay >> 0)}; // just delay &FFFF ? - sink.write(c, 2); - c[0] = 0; - for (int i = 0; i < (int)(_delay >> 16); ++i) - sink.write(c, 1); - } else { - assert((static_cast(_base + _size) >> 32) == 0); - --_delay; - char c[2] = {static_cast(_delay >> 8), static_cast(_delay >> 0)}; // just delay &FFFF ? - sink.write(c, 2); - c[0] = static_cast(0xFF); - for (int i = 0; i < (int)(_delay >> 16); ++i) - sink.write(c, 1); - } - _delay = 0; - } - - if ((_size >> 16) == 0) { - const uint32_t top = _base >> 16; - _base <<= 16; - _size <<= 16; - _size |= 0xFFFF; - if (_base <= (_base + _size)) { - char c[2] = {static_cast(top >> 8), static_cast(top)}; - sink.write(c, 2); - } else { - assert(top < 0xFFFF); - _delay = top + 1; - } - } -} - -void RangeEncoderImpl::finalize(std::ostream &sink) { - char c[1]; - if (_delay != 0) { - c[0] = static_cast(_delay >> 8); - sink.write(c, 1); - if ((_delay & 0xFF) != 0) { - c[0] = static_cast(_delay); - sink.write(c, 1); - } - } else if (_base != 0) { - const uint32_t mid = ((_base - 1) >> 16) + 1; - assert((mid & 0xFFFF) == mid); - c[0] = static_cast(mid >> 8); - sink.write(c, 1); - if ((mid & 0xFF) != 0) { - c[0] = static_cast(mid >> 0); - sink.write(c, 1); - } - } - _base = 0; - _delay = 0; - _size = std::numeric_limits::max(); -} - -void RangeDecoderImpl::read16bitvalue(std::istream &in) { - _value <<= 8; - if (in) { - uint8_t c; - in.read((char *)&c, 1); - if (in) - _value |= c; - } - _value <<= 8; - if (in && !in.eof()) { - uint8_t c; - in.read((char *)&c, 1); - if (in) - _value |= c; - } -} - -int32_t RangeDecoderImpl::decode(std::istream &source, const int32_t *const cdf_begin, const int32_t *const cdf_end, int precision) { - assert(precision > 0); - assert(precision <= 16); - if (!init_) { - read16bitvalue(source); - read16bitvalue(source); - init_ = true; - } - - const uint64_t size = static_cast(_size) + 1; - const uint64_t offset = ((static_cast(_value - _base) + 1) << precision) - 1; - - const int32_t *pv = cdf_begin + 1; - const auto cdf_size = cdf_end - cdf_begin; - auto len = cdf_size - 1; - assert(len > 0); - - do { - const auto half = len / 2; - const int32_t *mid = pv + half; - assert(*mid >= 0); - assert(*mid <= (1 << precision)); - if ((size * static_cast(*mid)) <= offset) { - pv = mid + 1; - len -= half + 1; - } else { - len = half; - } - } while (len > 0); - - assert(pv < (cdf_begin + cdf_size)); - - const uint32_t a = (size * static_cast(*(pv - 1))) >> precision; - const uint32_t b = ((size * static_cast(*pv)) >> precision) - 1; - assert(a <= (offset >> precision)); - assert(b >= (offset >> precision)); - - _base += a; - _size = b - a; - - if ((_size >> 16) == 0) { - _base <<= 16; - _size <<= 16; - _size |= 0xFFFF; - - read16bitvalue(source); - } - - return pv - cdf_begin - 1; -} diff --git a/third_party/range_coder/range_coder_impl.h b/third_party/range_coder/range_coder_impl.h deleted file mode 100644 index db8ce13..0000000 --- a/third_party/range_coder/range_coder_impl.h +++ /dev/null @@ -1,41 +0,0 @@ -#pragma once - -#include -#include -#include -#include -#include - -class RangeEncoderImpl { -public: - void encode(int32_t lower, int32_t upper, int precision, std::ostream &sink); - void finalize(std::ostream &sink); - void reset() { - _base = 0; - _size = std::numeric_limits::max(); - _delay = 0; - } - -private: - uint32_t _base = 0; - uint32_t _size = std::numeric_limits::max(); - uint64_t _delay = 0; -}; - -class RangeDecoderImpl { -public: - void reset() { - _size = std::numeric_limits::max(); - _base = 0; - _value = 0; - init_ = false; - } - int32_t decode(std::istream &source, const int32_t *const cdf_begin, const int32_t *const cdf_end, int precision); - -private: - void read16bitvalue(std::istream &source); - uint32_t _base = 0; - uint32_t _size = std::numeric_limits::max(); - uint32_t _value = 0; - bool init_ = false; -}; diff --git a/third_party/ryg_rans/LICENSE b/third_party/ryg_rans/LICENSE deleted file mode 100644 index 01bbc17..0000000 --- a/third_party/ryg_rans/LICENSE +++ /dev/null @@ -1,7 +0,0 @@ -To the extent possible under law, Fabian Giesen has waived all -copyright and related or neighboring rights to ryg_rans, as -per the terms of the CC0 license: - - https://creativecommons.org/publicdomain/zero/1.0 - -This work is published from the United States. diff --git a/third_party/ryg_rans/README b/third_party/ryg_rans/README deleted file mode 100644 index 5e249e8..0000000 --- a/third_party/ryg_rans/README +++ /dev/null @@ -1,128 +0,0 @@ -This is a public-domain implementation of several rANS variants. rANS is an -entropy coder from the ANS family, as described in Jarek Duda's paper -"Asymmetric numeral systems" (http://arxiv.org/abs/1311.2540). - -- "rans_byte.h" has a byte-aligned rANS encoder/decoder and some comments on - how to use it. This implementation should work on all 32-bit architectures. - "main.cpp" is an example program that shows how to use it. -- "rans64.h" is a 64-bit version that emits entire 32-bit words at a time. It - is (usually) a good deal faster than rans_byte on 64-bit architectures, and - also makes for a very precise arithmetic coder (i.e. it gets quite close - to entropy). The trade-off is that this version will be slower on 32-bit - machines, and the output bitstream is not endian-neutral. "main64.cpp" is - the corresponding example. -- "rans_word_sse41.h" has a SIMD decoder (SSE 4.1 to be precise) that does IO - in units of 16-bit words. It has less precision than either rans_byte or - rans64 (meaning that it doesn't get as close to entropy) and requires - at least 4 independent streams of data to be useful; however, it is also a - good deal faster. "main_simd.cpp" shows how to use it. - -See my blog http://fgiesen.wordpress.com/ for some notes on the design. - -I've also written a paper on interleaving output streams from multiple entropy -coders: - - http://arxiv.org/abs/1402.3392 - -this documents the underlying design for "rans_word_sse41", and also shows how -the same approach generalizes to e.g. GPU implementations, provided there are -enough independent contexts coded at the same time to fill up a warp/wavefront -or whatever your favorite GPU's terminology for its native SIMD width is. - -Finally, there's also "main_alias.cpp", which shows how to combine rANS with -the alias method to get O(1) symbol lookup with table size proportional to the -number of symbols. I presented an overview of the underlying idea here: - - http://fgiesen.wordpress.com/2014/02/18/rans-with-static-probability-distributions/ - -Results on my machine (Sandy Bridge i7-2600K) with rans_byte in 64-bit mode: - ----- - -rANS encode: -12896496 clocks, 16.8 clocks/symbol (192.8MiB/s) -12486912 clocks, 16.2 clocks/symbol (199.2MiB/s) -12511975 clocks, 16.3 clocks/symbol (198.8MiB/s) -12660765 clocks, 16.5 clocks/symbol (196.4MiB/s) -12550285 clocks, 16.3 clocks/symbol (198.2MiB/s) -rANS: 435113 bytes -17023550 clocks, 22.1 clocks/symbol (146.1MiB/s) -18081509 clocks, 23.5 clocks/symbol (137.5MiB/s) -16901632 clocks, 22.0 clocks/symbol (147.1MiB/s) -17166188 clocks, 22.3 clocks/symbol (144.9MiB/s) -17235859 clocks, 22.4 clocks/symbol (144.3MiB/s) -decode ok! - -interleaved rANS encode: -9618004 clocks, 12.5 clocks/symbol (258.6MiB/s) -9488277 clocks, 12.3 clocks/symbol (262.1MiB/s) -9460194 clocks, 12.3 clocks/symbol (262.9MiB/s) -9582025 clocks, 12.5 clocks/symbol (259.5MiB/s) -9332017 clocks, 12.1 clocks/symbol (266.5MiB/s) -interleaved rANS: 435117 bytes -10687601 clocks, 13.9 clocks/symbol (232.7MB/s) -10637918 clocks, 13.8 clocks/symbol (233.8MB/s) -10909652 clocks, 14.2 clocks/symbol (227.9MB/s) -10947637 clocks, 14.2 clocks/symbol (227.2MB/s) -10529464 clocks, 13.7 clocks/symbol (236.2MB/s) -decode ok! - ----- - -And here's rans64 in 64-bit mode: - ----- - -rANS encode: -10256075 clocks, 13.3 clocks/symbol (242.3MiB/s) -10620132 clocks, 13.8 clocks/symbol (234.1MiB/s) -10043080 clocks, 13.1 clocks/symbol (247.6MiB/s) -9878205 clocks, 12.8 clocks/symbol (251.8MiB/s) -10122645 clocks, 13.2 clocks/symbol (245.7MiB/s) -rANS: 435116 bytes -14244155 clocks, 18.5 clocks/symbol (174.6MiB/s) -15072524 clocks, 19.6 clocks/symbol (165.0MiB/s) -14787604 clocks, 19.2 clocks/symbol (168.2MiB/s) -14736556 clocks, 19.2 clocks/symbol (168.8MiB/s) -14686129 clocks, 19.1 clocks/symbol (169.3MiB/s) -decode ok! - -interleaved rANS encode: -7691159 clocks, 10.0 clocks/symbol (323.3MiB/s) -7182692 clocks, 9.3 clocks/symbol (346.2MiB/s) -7060804 clocks, 9.2 clocks/symbol (352.2MiB/s) -6949201 clocks, 9.0 clocks/symbol (357.9MiB/s) -6876415 clocks, 8.9 clocks/symbol (361.6MiB/s) -interleaved rANS: 435120 bytes -8133574 clocks, 10.6 clocks/symbol (305.7MB/s) -8631618 clocks, 11.2 clocks/symbol (288.1MB/s) -8643790 clocks, 11.2 clocks/symbol (287.7MB/s) -8449364 clocks, 11.0 clocks/symbol (294.3MB/s) -8331444 clocks, 10.8 clocks/symbol (298.5MB/s) -decode ok! - ----- - -Finally, here's the rans_word_sse41 decoder on an 8-way interleaved stream: - ----- - -SIMD rANS: 435626 bytes -4597641 clocks, 6.0 clocks/symbol (540.8MB/s) -4514356 clocks, 5.9 clocks/symbol (550.8MB/s) -4780918 clocks, 6.2 clocks/symbol (520.1MB/s) -4532913 clocks, 5.9 clocks/symbol (548.5MB/s) -4554527 clocks, 5.9 clocks/symbol (545.9MB/s) -decode ok! - ----- - -There's also an experimental 16-way interleaved AVX2 version that hits -faster rates still, developed by my colleague Won Chun; I will post it -soon. - -Note that this is running "book1" which is a relatively short test, and -the measurement setup is not great, so take the results with a grain -of salt. - --Fabian "ryg" Giesen, Feb 2014. diff --git a/third_party/ryg_rans/rans64.h b/third_party/ryg_rans/rans64.h deleted file mode 100644 index 4680777..0000000 --- a/third_party/ryg_rans/rans64.h +++ /dev/null @@ -1,318 +0,0 @@ -// 64-bit rANS encoder/decoder - public domain - Fabian 'ryg' Giesen 2014 -// -// This uses 64-bit states (63-bit actually) which allows renormalizing -// by writing out a whole 32 bits at a time (b=2^32) while still -// retaining good precision and allowing for high probability resolution. -// -// The only caveat is that this version requires 64-bit arithmetic; in -// particular, the encoder approximation in the bottom half requires a -// fast way to obtain the top 64 bits of an unsigned 64*64 bit product. -// -// In short, as written, this code works on 64-bit targets only! - -#ifndef RANS64_HEADER -#define RANS64_HEADER - -#include - -#ifdef assert -#define Rans64Assert assert -#else -#define Rans64Assert(x) -#endif - -// -------------------------------------------------------------------------- - -// This code needs support for 64-bit long multiplies with 128-bit result -// (or more precisely, the top 64 bits of a 128-bit result). This is not -// really portable functionality, so we need some compiler-specific hacks -// here. - -#if defined(_MSC_VER) - -#include - -static inline uint64_t Rans64MulHi(uint64_t a, uint64_t b) -{ - return __umulh(a, b); -} - -#elif defined(__GNUC__) - -static inline uint64_t Rans64MulHi(uint64_t a, uint64_t b) -{ - return (uint64_t) (((unsigned __int128)a * b) >> 64); -} - -#else - -#error Unknown/unsupported compiler! - -#endif - -// -------------------------------------------------------------------------- - -// L ('l' in the paper) is the lower bound of our normalization interval. -// Between this and our 32-bit-aligned emission, we use 63 (not 64!) bits. -// This is done intentionally because exact reciprocals for 63-bit uints -// fit in 64-bit uints: this permits some optimizations during encoding. -#define RANS64_L (1ull << 31) // lower bound of our normalization interval - -// State for a rANS encoder. Yep, that's all there is to it. -typedef uint64_t Rans64State; - -// Initialize a rANS encoder. -static inline void Rans64EncInit(Rans64State* r) -{ - *r = RANS64_L; -} - -// Encodes a single symbol with range start "start" and frequency "freq". -// All frequencies are assumed to sum to "1 << scale_bits", and the -// resulting bytes get written to ptr (which is updated). -// -// NOTE: With rANS, you need to encode symbols in *reverse order*, i.e. from -// beginning to end! Likewise, the output bytestream is written *backwards*: -// ptr starts pointing at the end of the output buffer and keeps decrementing. -static inline void Rans64EncPut(Rans64State* r, uint32_t** pptr, uint32_t start, uint32_t freq, uint32_t scale_bits) -{ - Rans64Assert(freq != 0); - - // renormalize (never needs to loop) - uint64_t x = *r; - uint64_t x_max = ((RANS64_L >> scale_bits) << 32) * freq; // this turns into a shift. - if (x >= x_max) { - *pptr -= 1; - **pptr = (uint32_t) x; - x >>= 32; - Rans64Assert(x < x_max); - } - - // x = C(s,x) - *r = ((x / freq) << scale_bits) + (x % freq) + start; -} - -// Flushes the rANS encoder. -static inline void Rans64EncFlush(Rans64State* r, uint32_t** pptr) -{ - uint64_t x = *r; - - *pptr -= 2; - (*pptr)[0] = (uint32_t) (x >> 0); - (*pptr)[1] = (uint32_t) (x >> 32); -} - -// Initializes a rANS decoder. -// Unlike the encoder, the decoder works forwards as you'd expect. -static inline void Rans64DecInit(Rans64State* r, uint32_t** pptr) -{ - uint64_t x; - - x = (uint64_t) ((*pptr)[0]) << 0; - x |= (uint64_t) ((*pptr)[1]) << 32; - *pptr += 2; - *r = x; -} - -// Returns the current cumulative frequency (map it to a symbol yourself!) -static inline uint32_t Rans64DecGet(Rans64State* r, uint32_t scale_bits) -{ - return *r & ((1u << scale_bits) - 1); -} - -// Advances in the bit stream by "popping" a single symbol with range start -// "start" and frequency "freq". All frequencies are assumed to sum to "1 << scale_bits", -// and the resulting bytes get written to ptr (which is updated). -static inline void Rans64DecAdvance(Rans64State* r, uint32_t** pptr, uint32_t start, uint32_t freq, uint32_t scale_bits) -{ - uint64_t mask = (1ull << scale_bits) - 1; - - // s, x = D(x) - uint64_t x = *r; - x = freq * (x >> scale_bits) + (x & mask) - start; - - // renormalize - if (x < RANS64_L) { - x = (x << 32) | **pptr; - *pptr += 1; - Rans64Assert(x >= RANS64_L); - } - - *r = x; -} - -// -------------------------------------------------------------------------- - -// That's all you need for a full encoder; below here are some utility -// functions with extra convenience or optimizations. - -// Encoder symbol description -// This (admittedly odd) selection of parameters was chosen to make -// RansEncPutSymbol as cheap as possible. -typedef struct { - uint64_t rcp_freq; // Fixed-point reciprocal frequency - uint32_t freq; // Symbol frequency - uint32_t bias; // Bias - uint32_t cmpl_freq; // Complement of frequency: (1 << scale_bits) - freq - uint32_t rcp_shift; // Reciprocal shift -} Rans64EncSymbol; - -// Decoder symbols are straightforward. -typedef struct { - uint32_t start; // Start of range. - uint32_t freq; // Symbol frequency. -} Rans64DecSymbol; - -// Initializes an encoder symbol to start "start" and frequency "freq" -static inline void Rans64EncSymbolInit(Rans64EncSymbol* s, uint32_t start, uint32_t freq, uint32_t scale_bits) -{ - Rans64Assert(scale_bits <= 31); - Rans64Assert(start <= (1u << scale_bits)); - Rans64Assert(freq <= (1u << scale_bits) - start); - - // Say M := 1 << scale_bits. - // - // The original encoder does: - // x_new = (x/freq)*M + start + (x%freq) - // - // The fast encoder does (schematically): - // q = mul_hi(x, rcp_freq) >> rcp_shift (division) - // r = x - q*freq (remainder) - // x_new = q*M + bias + r (new x) - // plugging in r into x_new yields: - // x_new = bias + x + q*(M - freq) - // =: bias + x + q*cmpl_freq (*) - // - // and we can just precompute cmpl_freq. Now we just need to - // set up our parameters such that the original encoder and - // the fast encoder agree. - - s->freq = freq; - s->cmpl_freq = ((1 << scale_bits) - freq); - if (freq < 2) { - // freq=0 symbols are never valid to encode, so it doesn't matter what - // we set our values to. - // - // freq=1 is tricky, since the reciprocal of 1 is 1; unfortunately, - // our fixed-point reciprocal approximation can only multiply by values - // smaller than 1. - // - // So we use the "next best thing": rcp_freq=~0, rcp_shift=0. - // This gives: - // q = mul_hi(x, rcp_freq) >> rcp_shift - // = mul_hi(x, (1<<64) - 1)) >> 0 - // = floor(x - x/(2^64)) - // = x - 1 if 1 <= x < 2^64 - // and we know that x>0 (x=0 is never in a valid normalization interval). - // - // So we now need to choose the other parameters such that - // x_new = x*M + start - // plug it in: - // x*M + start (desired result) - // = bias + x + q*cmpl_freq (*) - // = bias + x + (x - 1)*(M - 1) (plug in q=x-1, cmpl_freq) - // = bias + 1 + (x - 1)*M - // = x*M + (bias + 1 - M) - // - // so we have start = bias + 1 - M, or equivalently - // bias = start + M - 1. - s->rcp_freq = ~0ull; - s->rcp_shift = 0; - s->bias = start + (1 << scale_bits) - 1; - } else { - // Alverson, "Integer Division using reciprocals" - // shift=ceil(log2(freq)) - uint32_t shift = 0; - uint64_t x0, x1, t0, t1; - while (freq > (1u << shift)) - shift++; - - // long divide ((uint128) (1 << (shift + 63)) + freq-1) / freq - // by splitting it into two 64:64 bit divides (this works because - // the dividend has a simple form.) - x0 = freq - 1; - x1 = 1ull << (shift + 31); - - t1 = x1 / freq; - x0 += (x1 % freq) << 32; - t0 = x0 / freq; - - s->rcp_freq = t0 + (t1 << 32); - s->rcp_shift = shift - 1; - - // With these values, 'q' is the correct quotient, so we - // have bias=start. - s->bias = start; - } -} - -// Initialize a decoder symbol to start "start" and frequency "freq" -static inline void Rans64DecSymbolInit(Rans64DecSymbol* s, uint32_t start, uint32_t freq) -{ - Rans64Assert(start <= (1 << 31)); - Rans64Assert(freq <= (1 << 31) - start); - s->start = start; - s->freq = freq; -} - -// Encodes a given symbol. This is faster than straight RansEnc since we can do -// multiplications instead of a divide. -// -// See RansEncSymbolInit for a description of how this works. -static inline void Rans64EncPutSymbol(Rans64State* r, uint32_t** pptr, Rans64EncSymbol const* sym, uint32_t scale_bits) -{ - Rans64Assert(sym->freq != 0); // can't encode symbol with freq=0 - - // renormalize - uint64_t x = *r; - uint64_t x_max = ((RANS64_L >> scale_bits) << 32) * sym->freq; // turns into a shift - if (x >= x_max) { - *pptr -= 1; - **pptr = (uint32_t) x; - x >>= 32; - } - - // x = C(s,x) - uint64_t q = Rans64MulHi(x, sym->rcp_freq) >> sym->rcp_shift; - *r = x + sym->bias + q * sym->cmpl_freq; -} - -// Equivalent to RansDecAdvance that takes a symbol. -static inline void Rans64DecAdvanceSymbol(Rans64State* r, uint32_t** pptr, Rans64DecSymbol const* sym, uint32_t scale_bits) -{ - Rans64DecAdvance(r, pptr, sym->start, sym->freq, scale_bits); -} - -// Advances in the bit stream by "popping" a single symbol with range start -// "start" and frequency "freq". All frequencies are assumed to sum to "1 << scale_bits". -// No renormalization or output happens. -static inline void Rans64DecAdvanceStep(Rans64State* r, uint32_t start, uint32_t freq, uint32_t scale_bits) -{ - uint64_t mask = (1u << scale_bits) - 1; - - // s, x = D(x) - uint64_t x = *r; - *r = freq * (x >> scale_bits) + (x & mask) - start; -} - -// Equivalent to RansDecAdvanceStep that takes a symbol. -static inline void Rans64DecAdvanceSymbolStep(Rans64State* r, Rans64DecSymbol const* sym, uint32_t scale_bits) -{ - Rans64DecAdvanceStep(r, sym->start, sym->freq, scale_bits); -} - -// Renormalize. -static inline void Rans64DecRenorm(Rans64State* r, uint32_t** pptr) -{ - // renormalize - uint64_t x = *r; - if (x < RANS64_L) { - x = (x << 32) | **pptr; - *pptr += 1; - Rans64Assert(x >= RANS64_L); - } - - *r = x; -} - -#endif // RANS64_HEADER diff --git a/third_party/ryg_rans/rans_byte.h b/third_party/ryg_rans/rans_byte.h deleted file mode 100644 index 1f1bd1f..0000000 --- a/third_party/ryg_rans/rans_byte.h +++ /dev/null @@ -1,320 +0,0 @@ -// Simple byte-aligned rANS encoder/decoder - public domain - Fabian 'ryg' Giesen 2014 -// -// Not intended to be "industrial strength"; just meant to illustrate the general -// idea. - -#ifndef RANS_BYTE_HEADER -#define RANS_BYTE_HEADER - -#include - -#ifdef assert -#define RansAssert assert -#else -#define RansAssert(x) -#endif - -// READ ME FIRST: -// -// This is designed like a typical arithmetic coder API, but there's three -// twists you absolutely should be aware of before you start hacking: -// -// 1. You need to encode data in *reverse* - last symbol first. rANS works -// like a stack: last in, first out. -// 2. Likewise, the encoder outputs bytes *in reverse* - that is, you give -// it a pointer to the *end* of your buffer (exclusive), and it will -// slowly move towards the beginning as more bytes are emitted. -// 3. Unlike basically any other entropy coder implementation you might -// have used, you can interleave data from multiple independent rANS -// encoders into the same bytestream without any extra signaling; -// you can also just write some bytes by yourself in the middle if -// you want to. This is in addition to the usual arithmetic encoder -// property of being able to switch models on the fly. Writing raw -// bytes can be useful when you have some data that you know is -// incompressible, and is cheaper than going through the rANS encode -// function. Using multiple rANS coders on the same byte stream wastes -// a few bytes compared to using just one, but execution of two -// independent encoders can happen in parallel on superscalar and -// Out-of-Order CPUs, so this can be *much* faster in tight decoding -// loops. -// -// This is why all the rANS functions take the write pointer as an -// argument instead of just storing it in some context struct. - -// -------------------------------------------------------------------------- - -// L ('l' in the paper) is the lower bound of our normalization interval. -// Between this and our byte-aligned emission, we use 31 (not 32!) bits. -// This is done intentionally because exact reciprocals for 31-bit uints -// fit in 32-bit uints: this permits some optimizations during encoding. -#define RANS_BYTE_L (1u << 23) // lower bound of our normalization interval - -// State for a rANS encoder. Yep, that's all there is to it. -typedef uint32_t RansState; - -// Initialize a rANS encoder. -static inline void RansEncInit(RansState* r) -{ - *r = RANS_BYTE_L; -} - -// Renormalize the encoder. Internal function. -static inline RansState RansEncRenorm(RansState x, uint8_t** pptr, uint32_t freq, uint32_t scale_bits) -{ - uint32_t x_max = ((RANS_BYTE_L >> scale_bits) << 8) * freq; // this turns into a shift. - if (x >= x_max) { - uint8_t* ptr = *pptr; - do { - *--ptr = (uint8_t) (x & 0xff); - x >>= 8; - } while (x >= x_max); - *pptr = ptr; - } - return x; -} - -// Encodes a single symbol with range start "start" and frequency "freq". -// All frequencies are assumed to sum to "1 << scale_bits", and the -// resulting bytes get written to ptr (which is updated). -// -// NOTE: With rANS, you need to encode symbols in *reverse order*, i.e. from -// beginning to end! Likewise, the output bytestream is written *backwards*: -// ptr starts pointing at the end of the output buffer and keeps decrementing. -static inline void RansEncPut(RansState* r, uint8_t** pptr, uint32_t start, uint32_t freq, uint32_t scale_bits) -{ - // renormalize - RansState x = RansEncRenorm(*r, pptr, freq, scale_bits); - - // x = C(s,x) - *r = ((x / freq) << scale_bits) + (x % freq) + start; -} - -// Flushes the rANS encoder. -static inline void RansEncFlush(RansState* r, uint8_t** pptr) -{ - uint32_t x = *r; - uint8_t* ptr = *pptr; - - ptr -= 4; - ptr[0] = (uint8_t) (x >> 0); - ptr[1] = (uint8_t) (x >> 8); - ptr[2] = (uint8_t) (x >> 16); - ptr[3] = (uint8_t) (x >> 24); - - *pptr = ptr; -} - -// Initializes a rANS decoder. -// Unlike the encoder, the decoder works forwards as you'd expect. -static inline void RansDecInit(RansState* r, uint8_t** pptr) -{ - uint32_t x; - uint8_t* ptr = *pptr; - - x = ptr[0] << 0; - x |= ptr[1] << 8; - x |= ptr[2] << 16; - x |= ptr[3] << 24; - ptr += 4; - - *pptr = ptr; - *r = x; -} - -// Returns the current cumulative frequency (map it to a symbol yourself!) -static inline uint32_t RansDecGet(RansState* r, uint32_t scale_bits) -{ - return *r & ((1u << scale_bits) - 1); -} - -// Advances in the bit stream by "popping" a single symbol with range start -// "start" and frequency "freq". All frequencies are assumed to sum to "1 << scale_bits", -// and the resulting bytes get written to ptr (which is updated). -static inline void RansDecAdvance(RansState* r, uint8_t** pptr, uint32_t start, uint32_t freq, uint32_t scale_bits) -{ - uint32_t mask = (1u << scale_bits) - 1; - - // s, x = D(x) - uint32_t x = *r; - x = freq * (x >> scale_bits) + (x & mask) - start; - - // renormalize - if (x < RANS_BYTE_L) { - uint8_t* ptr = *pptr; - do x = (x << 8) | *ptr++; while (x < RANS_BYTE_L); - *pptr = ptr; - } - - *r = x; -} - -// -------------------------------------------------------------------------- - -// That's all you need for a full encoder; below here are some utility -// functions with extra convenience or optimizations. - -// Encoder symbol description -// This (admittedly odd) selection of parameters was chosen to make -// RansEncPutSymbol as cheap as possible. -typedef struct { - uint32_t x_max; // (Exclusive) upper bound of pre-normalization interval - uint32_t rcp_freq; // Fixed-point reciprocal frequency - uint32_t bias; // Bias - uint16_t cmpl_freq; // Complement of frequency: (1 << scale_bits) - freq - uint16_t rcp_shift; // Reciprocal shift -} RansEncSymbol; - -// Decoder symbols are straightforward. -typedef struct { - uint16_t start; // Start of range. - uint16_t freq; // Symbol frequency. -} RansDecSymbol; - -// Initializes an encoder symbol to start "start" and frequency "freq" -static inline void RansEncSymbolInit(RansEncSymbol* s, uint32_t start, uint32_t freq, uint32_t scale_bits) -{ - RansAssert(scale_bits <= 16); - RansAssert(start <= (1u << scale_bits)); - RansAssert(freq <= (1u << scale_bits) - start); - - // Say M := 1 << scale_bits. - // - // The original encoder does: - // x_new = (x/freq)*M + start + (x%freq) - // - // The fast encoder does (schematically): - // q = mul_hi(x, rcp_freq) >> rcp_shift (division) - // r = x - q*freq (remainder) - // x_new = q*M + bias + r (new x) - // plugging in r into x_new yields: - // x_new = bias + x + q*(M - freq) - // =: bias + x + q*cmpl_freq (*) - // - // and we can just precompute cmpl_freq. Now we just need to - // set up our parameters such that the original encoder and - // the fast encoder agree. - - s->x_max = ((RANS_BYTE_L >> scale_bits) << 8) * freq; - s->cmpl_freq = (uint16_t) ((1 << scale_bits) - freq); - if (freq < 2) { - // freq=0 symbols are never valid to encode, so it doesn't matter what - // we set our values to. - // - // freq=1 is tricky, since the reciprocal of 1 is 1; unfortunately, - // our fixed-point reciprocal approximation can only multiply by values - // smaller than 1. - // - // So we use the "next best thing": rcp_freq=0xffffffff, rcp_shift=0. - // This gives: - // q = mul_hi(x, rcp_freq) >> rcp_shift - // = mul_hi(x, (1<<32) - 1)) >> 0 - // = floor(x - x/(2^32)) - // = x - 1 if 1 <= x < 2^32 - // and we know that x>0 (x=0 is never in a valid normalization interval). - // - // So we now need to choose the other parameters such that - // x_new = x*M + start - // plug it in: - // x*M + start (desired result) - // = bias + x + q*cmpl_freq (*) - // = bias + x + (x - 1)*(M - 1) (plug in q=x-1, cmpl_freq) - // = bias + 1 + (x - 1)*M - // = x*M + (bias + 1 - M) - // - // so we have start = bias + 1 - M, or equivalently - // bias = start + M - 1. - s->rcp_freq = ~0u; - s->rcp_shift = 0; - s->bias = start + (1 << scale_bits) - 1; - } else { - // Alverson, "Integer Division using reciprocals" - // shift=ceil(log2(freq)) - uint32_t shift = 0; - while (freq > (1u << shift)) - shift++; - - s->rcp_freq = (uint32_t) (((1ull << (shift + 31)) + freq-1) / freq); - s->rcp_shift = shift - 1; - - // With these values, 'q' is the correct quotient, so we - // have bias=start. - s->bias = start; - } -} - -// Initialize a decoder symbol to start "start" and frequency "freq" -static inline void RansDecSymbolInit(RansDecSymbol* s, uint32_t start, uint32_t freq) -{ - RansAssert(start <= (1 << 16)); - RansAssert(freq <= (1 << 16) - start); - s->start = (uint16_t) start; - s->freq = (uint16_t) freq; -} - -// Encodes a given symbol. This is faster than straight RansEnc since we can do -// multiplications instead of a divide. -// -// See RansEncSymbolInit for a description of how this works. -static inline void RansEncPutSymbol(RansState* r, uint8_t** pptr, RansEncSymbol const* sym) -{ - RansAssert(sym->x_max != 0); // can't encode symbol with freq=0 - - // renormalize - uint32_t x = *r; - uint32_t x_max = sym->x_max; - if (x >= x_max) { - uint8_t* ptr = *pptr; - do { - *--ptr = (uint8_t) (x & 0xff); - x >>= 8; - } while (x >= x_max); - *pptr = ptr; - } - - // x = C(s,x) - // NOTE: written this way so we get a 32-bit "multiply high" when - // available. If you're on a 64-bit platform with cheap multiplies - // (e.g. x64), just bake the +32 into rcp_shift. - uint32_t q = (uint32_t) (((uint64_t)x * sym->rcp_freq) >> 32) >> sym->rcp_shift; - *r = x + sym->bias + q * sym->cmpl_freq; -} - -// Equivalent to RansDecAdvance that takes a symbol. -static inline void RansDecAdvanceSymbol(RansState* r, uint8_t** pptr, RansDecSymbol const* sym, uint32_t scale_bits) -{ - RansDecAdvance(r, pptr, sym->start, sym->freq, scale_bits); -} - -// Advances in the bit stream by "popping" a single symbol with range start -// "start" and frequency "freq". All frequencies are assumed to sum to "1 << scale_bits". -// No renormalization or output happens. -static inline void RansDecAdvanceStep(RansState* r, uint32_t start, uint32_t freq, uint32_t scale_bits) -{ - uint32_t mask = (1u << scale_bits) - 1; - - // s, x = D(x) - uint32_t x = *r; - *r = freq * (x >> scale_bits) + (x & mask) - start; -} - -// Equivalent to RansDecAdvanceStep that takes a symbol. -static inline void RansDecAdvanceSymbolStep(RansState* r, RansDecSymbol const* sym, uint32_t scale_bits) -{ - RansDecAdvanceStep(r, sym->start, sym->freq, scale_bits); -} - -// Renormalize. -static inline void RansDecRenorm(RansState* r, uint8_t** pptr) -{ - // renormalize - uint32_t x = *r; - if (x < RANS_BYTE_L) { - uint8_t* ptr = *pptr; - do x = (x << 8) | *ptr++; while (x < RANS_BYTE_L); - *pptr = ptr; - } - - *r = x; -} - -#endif // RANS_BYTE_HEADER diff --git a/third_party/ryg_rans/rans_word_sse41.h b/third_party/ryg_rans/rans_word_sse41.h deleted file mode 100644 index 59f7500..0000000 --- a/third_party/ryg_rans/rans_word_sse41.h +++ /dev/null @@ -1,229 +0,0 @@ -// Word-aligned SSE 4.1 rANS encoder/decoder - public domain - Fabian 'ryg' Giesen -// -// This implementation has a regular rANS encoder and a 4-way interleaved SIMD -// decoder. Like rans_byte.h, it's intended to illustrate the idea, not to -// be used as a drop-in arithmetic coder. - -#ifndef RANS_WORD_SSE41_HEADER -#define RANS_WORD_SSE41_HEADER - -#include -#include - -// READ ME FIRST: -// -// The intention in this version is to demonstrate a design where the decoder -// is made as fast as possible, even when it makes the encoder slightly slower -// or hurts compression a bit. (The code in rans_byte.h, with the 31-bit -// arithmetic to allow for faster division by constants, is a more "balanced" -// approach). -// -// This version is intended to be used with relatively low-resolution -// probability distributions (scale_bits=12 or less). In these regions, the -// "fully unrolled" table-based approach shown here (suggested by "enotuss" -// on my blog) is optimal; for larger scale_bits, other approaches are more -// favorable. It also only assumes an 8-bit symbol alphabet for simplicity. -// -// Unlike rans_byte.h, this file needs to be compiled as C++. - -// -------------------------------------------------------------------------- - -// This coder uses L=1<<16 and B=1<<16 (16-bit word based renormalization). -// Since we still continue to use 32-bit words, this means we require -// scale_bits <= 16; on the plus side, renormalization never needs to -// iterate. -#define RANS_WORD_L (1u << 16) - -#define RANS_WORD_SCALE_BITS 12 -#define RANS_WORD_M (1u << RANS_WORD_SCALE_BITS) - -#define RANS_WORD_NSYMS 256 - -typedef uint32_t RansWordEnc; -typedef uint32_t RansWordDec; - -typedef union { - __m128i simd; - uint32_t lane[4]; -} RansSimdDec; - -union RansWordSlot { - uint32_t u32; - struct { - uint16_t freq; - uint16_t bias; - }; -}; - -struct RansWordTables { - RansWordSlot slots[RANS_WORD_M]; - uint8_t slot2sym[RANS_WORD_M]; -}; - -// Initialize slots for a symbol in the table -static inline void RansWordTablesInitSymbol(RansWordTables* tab, uint8_t sym, uint32_t start, uint32_t freq) -{ - for (uint32_t i=0; i < freq; i++) { - uint32_t slot = start + i; - tab->slot2sym[slot] = sym; - tab->slots[slot].freq = (uint16_t)freq; - tab->slots[slot].bias = (uint16_t)i; - } -} - -// Initialize a rANS encoder -static inline RansWordEnc RansWordEncInit() -{ - return RANS_WORD_L; -} - -// Encodes a single symbol with range "start" and frequency "freq". -static inline void RansWordEncPut(RansWordEnc* r, uint16_t** pptr, uint32_t start, uint32_t freq) -{ - // renormalize - uint32_t x = *r; - if (x >= ((RANS_WORD_L >> RANS_WORD_SCALE_BITS) << 16) * freq) { - *pptr -= 1; - **pptr = (uint16_t) (x & 0xffff); - x >>= 16; - } - - // x = C(s,x) - *r = ((x / freq) << RANS_WORD_SCALE_BITS) + (x % freq) + start; -} - -// Flushes the rANS encoder -static inline void RansWordEncFlush(RansWordEnc* r, uint16_t** pptr) -{ - uint32_t x = *r; - uint16_t* ptr = *pptr; - - ptr -= 2; - ptr[0] = (uint16_t) (x >> 0); - ptr[1] = (uint16_t) (x >> 16); - - *pptr = ptr; -} - -// Initializes a rANS decoder. -static inline void RansWordDecInit(RansWordDec* r, uint16_t** pptr) -{ - uint32_t x; - uint16_t* ptr = *pptr; - - x = ptr[0] << 0; - x |= ptr[1] << 16; - ptr += 2; - - *pptr = ptr; - *r = x; -} - -// Decodes a symbol using the given tables. -static inline uint8_t RansWordDecSym(RansWordDec* r, RansWordTables const* tab) -{ - uint32_t x = *r; - uint32_t slot = x & (RANS_WORD_M - 1); - - // s, x = D(x) - *r = tab->slots[slot].freq * (x >> RANS_WORD_SCALE_BITS) + tab->slots[slot].bias; - return tab->slot2sym[slot]; -} - -// Renormalize after decoding a symbol. -static inline void RansWordDecRenorm(RansWordDec* r, uint16_t** pptr) -{ - uint32_t x = *r; - if (x < RANS_WORD_L) { - *r = (x << 16) | **pptr; - *pptr += 1; - } -} - -// Initializes a SIMD rANS decoder. -static inline void RansSimdDecInit(RansSimdDec* r, uint16_t** pptr) -{ - r->simd = _mm_loadu_si128((const __m128i*)*pptr); - *pptr += 2*4; -} - -// Decodes a four symbols in parallel using the given tables. -static inline uint32_t RansSimdDecSym(RansSimdDec* r, RansWordTables const* tab) -{ - __m128i freq_bias_lo, freq_bias_hi, freq_bias; - __m128i freq, bias; - __m128i xscaled; - __m128i x = r->simd; - __m128i slots = _mm_and_si128(x, _mm_set1_epi32(RANS_WORD_M - 1)); - uint32_t i0 = (uint32_t) _mm_cvtsi128_si32(slots); - uint32_t i1 = (uint32_t) _mm_extract_epi32(slots, 1); - uint32_t i2 = (uint32_t) _mm_extract_epi32(slots, 2); - uint32_t i3 = (uint32_t) _mm_extract_epi32(slots, 3); - - // symbol - uint32_t s = tab->slot2sym[i0] | (tab->slot2sym[i1] << 8) | (tab->slot2sym[i2] << 16) | (tab->slot2sym[i3] << 24); - - // gather freq_bias - freq_bias_lo = _mm_cvtsi32_si128(tab->slots[i0].u32); - freq_bias_lo = _mm_insert_epi32(freq_bias_lo, tab->slots[i1].u32, 1); - freq_bias_hi = _mm_cvtsi32_si128(tab->slots[i2].u32); - freq_bias_hi = _mm_insert_epi32(freq_bias_hi, tab->slots[i3].u32, 1); - freq_bias = _mm_unpacklo_epi64(freq_bias_lo, freq_bias_hi); - - // s, x = D(x) - xscaled = _mm_srli_epi32(x, RANS_WORD_SCALE_BITS); - freq = _mm_and_si128(freq_bias, _mm_set1_epi32(0xffff)); - bias = _mm_srli_epi32(freq_bias, 16); - r->simd = _mm_add_epi32(_mm_mullo_epi32(xscaled, freq), bias); - return s; -} - -// Renormalize after decoding a symbol. -static inline void RansSimdDecRenorm(RansSimdDec* r, uint16_t** pptr) -{ - static ALIGNSPEC(int8_t const, shuffles[16][16], 16) = { -#define _ -1 // for readability - { _,_,_,_, _,_,_,_, _,_,_,_, _,_,_,_ }, // 0000 - { 0,1,_,_, _,_,_,_, _,_,_,_, _,_,_,_ }, // 0001 - { _,_,_,_, 0,1,_,_, _,_,_,_, _,_,_,_ }, // 0010 - { 0,1,_,_, 2,3,_,_, _,_,_,_, _,_,_,_ }, // 0011 - { _,_,_,_, _,_,_,_, 0,1,_,_, _,_,_,_ }, // 0100 - { 0,1,_,_, _,_,_,_, 2,3,_,_, _,_,_,_ }, // 0101 - { _,_,_,_, 0,1,_,_, 2,3,_,_, _,_,_,_ }, // 0110 - { 0,1,_,_, 2,3,_,_, 4,5,_,_, _,_,_,_ }, // 0111 - { _,_,_,_, _,_,_,_, _,_,_,_, 0,1,_,_ }, // 1000 - { 0,1,_,_, _,_,_,_, _,_,_,_, 2,3,_,_ }, // 1001 - { _,_,_,_, 0,1,_,_, _,_,_,_, 2,3,_,_ }, // 1010 - { 0,1,_,_, 2,3,_,_, _,_,_,_, 4,5,_,_ }, // 1011 - { _,_,_,_, _,_,_,_, 0,1,_,_, 2,3,_,_ }, // 1100 - { 0,1,_,_, _,_,_,_, 2,3,_,_, 4,5,_,_ }, // 1101 - { _,_,_,_, 0,1,_,_, 2,3,_,_, 4,5,_,_ }, // 1110 - { 0,1,_,_, 2,3,_,_, 4,5,_,_, 6,7,_,_ }, // 1111 -#undef _ - }; - static uint8_t const numbits[16] = { - 0,1,1,2, 1,2,2,3, 1,2,2,3, 2,3,3,4 - }; - - __m128i x = r->simd; - - // NOTE: SSE2+ only offer a signed 32-bit integer compare, while we - // need unsigned. So we subtract 0x80000000 before the compare, - // which converts unsigned integers to signed integers in an - // order-preserving manner. - __m128i x_biased = _mm_xor_si128(x, _mm_set1_epi32((int) 0x80000000)); - __m128i greater = _mm_cmpgt_epi32(_mm_set1_epi32(RANS_WORD_L - 0x80000000), x_biased); - unsigned int mask = _mm_movemask_ps(_mm_castsi128_ps(greater)); - - // NOTE: this will read slightly past the end of the input buffer. - // In practice, either pad the input buffer by 8 bytes at the end, - // or switch to the non-SIMD version once you get close to the end. - __m128i memvals = _mm_loadl_epi64((const __m128i*)*pptr); - __m128i xshifted = _mm_slli_epi32(x, 16); - __m128i shufmask = _mm_load_si128((const __m128i*)shuffles[mask]); - __m128i newx = _mm_or_si128(xshifted, _mm_shuffle_epi8(memvals, shufmask)); - r->simd = _mm_blendv_epi8(x, newx, greater); - *pptr += numbits[mask]; -} - -#endif // RANS_WORD_SSE41_HEADER