diff --git a/.readthedocs.yml b/.readthedocs.yml new file mode 100644 index 0000000..326f882 --- /dev/null +++ b/.readthedocs.yml @@ -0,0 +1,9 @@ +version: 2 +formats: [] +build: + os: "ubuntu-22.04" + tools: + python: "3.9" +python: + install: + - requirements: docs/requirements.txt diff --git a/docs/examples/gallery/gallery.ipynb b/docs/examples/gallery/gallery.ipynb index 1639daf..f1adfd1 100644 --- a/docs/examples/gallery/gallery.ipynb +++ b/docs/examples/gallery/gallery.ipynb @@ -122,6 +122,27 @@ "* [Cities in Japan](ancillary/japan-cities.ipynb)\n", "* [Shapefiles](ancillary/shapefiles.ipynb)" ] + }, + { + "cell_type": "markdown", + "id": "9f89aba9", + "metadata": {}, + "source": [ + "### Time series" + ] + }, + { + "cell_type": "markdown", + "id": "115789bc", + "metadata": { + "tags": [ + "nbsphinx-gallery" + ] + }, + "source": [ + "* [Global average temperature climatology](time-series/global-average-temperature.ipynb)\n", + "* [CMIP6 climate projections](time-series/cmip6.ipynb)" + ] } ], "metadata": { diff --git a/docs/examples/gallery/grid-types/healpix-pixels.ipynb b/docs/examples/gallery/grid-types/healpix-pixels.ipynb index 8323761..1a9b265 100644 --- a/docs/examples/gallery/grid-types/healpix-pixels.ipynb +++ b/docs/examples/gallery/grid-types/healpix-pixels.ipynb @@ -14,7 +14,7 @@ "version_minor": 0 }, "text/plain": [ - "healpix-h128-nested-2t.grib: 0%| | 0.00/385k [00:00" ] @@ -40,7 +40,7 @@ "\n", "chart = earthkit.plots.Map(domain=[\"France\", \"Spain\"])\n", "\n", - "chart.block(data, levels=np.arange(0, 20, 0.5), colors=\"Spectral_r\", units=\"celsius\")\n", + "chart.contourf(data, levels=np.arange(0, 20, 0.5), colors=\"Spectral_r\", units=\"celsius\")\n", "\n", "chart.title()\n", "chart.legend()\n", @@ -49,6 +49,14 @@ "\n", "chart.show()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c9adcb50-d1db-4f7c-8343-bad2c0621618", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/docs/examples/gallery/gridded-data/efas.ipynb b/docs/examples/gallery/gridded-data/efas.ipynb index 60611a8..cd296e9 100644 --- a/docs/examples/gallery/gridded-data/efas.ipynb +++ b/docs/examples/gallery/gridded-data/efas.ipynb @@ -8,7 +8,9 @@ "outputs": [], "source": [ "import earthkit.data\n", - "import earthkit.plots" + "import earthkit.plots\n", + "\n", + "earthkit.data.settings.set(\"cache-policy\", \"off\")" ] }, { @@ -18,68 +20,40 @@ "metadata": {}, "outputs": [ { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
variablelevelvalid_datetimeunits
0dis06None2022-10-08T18:00:00m**3 s**-1
1land_binary_maskNone2022-10-08T18:00:001
2upAreaNone2022-10-08T18:00:00M2
\n", - "
" - ], - "text/plain": [ - " variable level valid_datetime units\n", - "0 dis06 None 2022-10-08T18:00:00 m**3 s**-1\n", - "1 land_binary_mask None 2022-10-08T18:00:00 1\n", - "2 upArea None 2022-10-08T18:00:00 M2" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" + "ename": "OSError", + "evalue": "[Errno -101] NetCDF: HDF error: b'/Users/mavj/ek-plots-tests/earthkit-plots/docs/examples/gallery/gridded-data/efas.nc'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/file_manager.py:211\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 211\u001b[0m file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cache\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_key\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 212\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m:\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/lru_cache.py:56\u001b[0m, in \u001b[0;36mLRUCache.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock:\n\u001b[0;32m---> 56\u001b[0m value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cache\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache\u001b[38;5;241m.\u001b[39mmove_to_end(key)\n", + "\u001b[0;31mKeyError\u001b[0m: [, ('/Users/mavj/ek-plots-tests/earthkit-plots/docs/examples/gallery/gridded-data/efas.nc',), 'r', (('clobber', True), ('diskless', False), ('format', 'NETCDF4'), ('persist', False)), 'cf8ee386-7b52-4193-9af1-4c3fe5380acc']", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m earthkit\u001b[38;5;241m.\u001b[39mdata\u001b[38;5;241m.\u001b[39mdownload_example_file(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mefas.nc\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 2\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mearthkit\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_source\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfile\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mefas.nc\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3\u001b[0m data\u001b[38;5;241m.\u001b[39mls()\n", + "File \u001b[0;32m~/earthkit/earthkit-data/src/earthkit/data/sources/__init__.py:155\u001b[0m, in \u001b[0;36mfrom_source\u001b[0;34m(name, lazily, *args, **kwargs)\u001b[0m\n\u001b[1;32m 153\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m src \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m prev:\n\u001b[1;32m 154\u001b[0m prev \u001b[38;5;241m=\u001b[39m src\n\u001b[0;32m--> 155\u001b[0m src \u001b[38;5;241m=\u001b[39m \u001b[43msrc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmutate\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 156\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m src\n", + "File \u001b[0;32m~/earthkit/earthkit-data/src/earthkit/data/sources/file.py:77\u001b[0m, in \u001b[0;36mFileSource.mutate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m FileIndexedSource(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpath, \u001b[38;5;28mfilter\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mfilter\u001b[39m, merger\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmerger, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw)\n\u001b[1;32m 75\u001b[0m \u001b[38;5;66;03m# Give a chance to directories and zip files\u001b[39;00m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;66;03m# to return a multi-source\u001b[39;00m\n\u001b[0;32m---> 77\u001b[0m source \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_reader\u001b[49m\u001b[38;5;241m.\u001b[39mmutate_source()\n\u001b[1;32m 78\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m source \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 79\u001b[0m source\u001b[38;5;241m.\u001b[39m_parent \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\n", + "File \u001b[0;32m~/earthkit/earthkit-data/src/earthkit/data/sources/file.py:96\u001b[0m, in \u001b[0;36mFileSource._reader\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 93\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m 94\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_reader\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 95\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reader_ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m---> 96\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reader_ \u001b[38;5;241m=\u001b[39m \u001b[43mreader\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 97\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcontent_type\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcontent_type\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparts\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparts\u001b[49m\n\u001b[1;32m 98\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 99\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reader_\n", + "File \u001b[0;32m~/earthkit/earthkit-data/src/earthkit/data/readers/__init__.py:184\u001b[0m, in \u001b[0;36mreader\u001b[0;34m(source, path, **kwargs)\u001b[0m\n\u001b[1;32m 180\u001b[0m magic \u001b[38;5;241m=\u001b[39m f\u001b[38;5;241m.\u001b[39mread(n_bytes)\n\u001b[1;32m 182\u001b[0m LOG\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLooking for a reader for \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m (\u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m, path, magic)\n\u001b[0;32m--> 184\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_find_reader\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 185\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mreader\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 186\u001b[0m \u001b[43m \u001b[49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 187\u001b[0m \u001b[43m \u001b[49m\u001b[43mpath\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 188\u001b[0m \u001b[43m \u001b[49m\u001b[43mmagic\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmagic\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 189\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 190\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/earthkit/earthkit-data/src/earthkit/data/readers/__init__.py:130\u001b[0m, in \u001b[0;36m_find_reader\u001b[0;34m(method_name, source, path_or_data, **kwargs)\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m deeper_check \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;28;01mFalse\u001b[39;00m, \u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m 127\u001b[0m \u001b[38;5;66;03m# We do two passes, the second one\u001b[39;00m\n\u001b[1;32m 128\u001b[0m \u001b[38;5;66;03m# allow the plugin to look deeper in the buffer\u001b[39;00m\n\u001b[1;32m 129\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m name, r \u001b[38;5;129;01min\u001b[39;00m _readers(method_name)\u001b[38;5;241m.\u001b[39mitems():\n\u001b[0;32m--> 130\u001b[0m reader \u001b[38;5;241m=\u001b[39m \u001b[43mr\u001b[49m\u001b[43m(\u001b[49m\u001b[43msource\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpath_or_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdeeper_check\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdeeper_check\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 131\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m reader \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 132\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m reader\u001b[38;5;241m.\u001b[39mmutate()\n", + "File \u001b[0;32m~/earthkit/earthkit-data/src/earthkit/data/readers/netcdf/__init__.py:88\u001b[0m, in \u001b[0;36mreader\u001b[0;34m(source, path, magic, deeper_check, **kwargs)\u001b[0m\n\u001b[1;32m 86\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m _match_magic(magic, deeper_check):\n\u001b[1;32m 87\u001b[0m fs \u001b[38;5;241m=\u001b[39m NetCDFFieldListReader(source, path)\n\u001b[0;32m---> 88\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mfs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhas_fields\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m 89\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m fs\n\u001b[1;32m 90\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "File \u001b[0;32m~/earthkit/earthkit-data/src/earthkit/data/readers/netcdf/fieldlist.py:169\u001b[0m, in \u001b[0;36mXArrayFieldListCore.has_fields\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 166\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mhas_fields\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 167\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fields \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 168\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m get_fields_from_ds(\n\u001b[0;32m--> 169\u001b[0m DataSet(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mxr_dataset\u001b[49m),\n\u001b[1;32m 170\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39marray_backend,\n\u001b[1;32m 171\u001b[0m field_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mFIELD_TYPE,\n\u001b[1;32m 172\u001b[0m check_only\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 173\u001b[0m )\n\u001b[1;32m 174\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 175\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fields) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/functools.py:981\u001b[0m, in \u001b[0;36mcached_property.__get__\u001b[0;34m(self, instance, owner)\u001b[0m\n\u001b[1;32m 979\u001b[0m val \u001b[38;5;241m=\u001b[39m cache\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mattrname, _NOT_FOUND)\n\u001b[1;32m 980\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m val \u001b[38;5;129;01mis\u001b[39;00m _NOT_FOUND:\n\u001b[0;32m--> 981\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43minstance\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 982\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 983\u001b[0m cache[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mattrname] \u001b[38;5;241m=\u001b[39m val\n", + "File \u001b[0;32m~/earthkit/earthkit-data/src/earthkit/data/readers/netcdf/fieldlist.py:292\u001b[0m, in \u001b[0;36mNetCDFFieldListFromFileOrURL.xr_dataset\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 288\u001b[0m \u001b[38;5;129m@cached_property\u001b[39m\n\u001b[1;32m 289\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mxr_dataset\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[1;32m 290\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mxarray\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mxr\u001b[39;00m\n\u001b[0;32m--> 292\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mxr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath_or_url\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/api.py:572\u001b[0m, in \u001b[0;36mopen_dataset\u001b[0;34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m 560\u001b[0m decoders \u001b[38;5;241m=\u001b[39m _resolve_decoders_kwargs(\n\u001b[1;32m 561\u001b[0m decode_cf,\n\u001b[1;32m 562\u001b[0m open_backend_dataset_parameters\u001b[38;5;241m=\u001b[39mbackend\u001b[38;5;241m.\u001b[39mopen_dataset_parameters,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 568\u001b[0m decode_coords\u001b[38;5;241m=\u001b[39mdecode_coords,\n\u001b[1;32m 569\u001b[0m )\n\u001b[1;32m 571\u001b[0m overwrite_encoded_chunks \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moverwrite_encoded_chunks\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m--> 572\u001b[0m backend_ds \u001b[38;5;241m=\u001b[39m \u001b[43mbackend\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 573\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 574\u001b[0m \u001b[43m \u001b[49m\u001b[43mdrop_variables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdrop_variables\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 575\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdecoders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 576\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 577\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 578\u001b[0m ds \u001b[38;5;241m=\u001b[39m _dataset_from_backend_dataset(\n\u001b[1;32m 579\u001b[0m backend_ds,\n\u001b[1;32m 580\u001b[0m filename_or_obj,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 590\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m 591\u001b[0m )\n\u001b[1;32m 592\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/netCDF4_.py:644\u001b[0m, in \u001b[0;36mNetCDF4BackendEntrypoint.open_dataset\u001b[0;34m(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, group, mode, format, clobber, diskless, persist, lock, autoclose)\u001b[0m\n\u001b[1;32m 623\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mopen_dataset\u001b[39m( \u001b[38;5;66;03m# type: ignore[override] # allow LSP violation, not supporting **kwargs\u001b[39;00m\n\u001b[1;32m 624\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 625\u001b[0m filename_or_obj: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m|\u001b[39m os\u001b[38;5;241m.\u001b[39mPathLike[Any] \u001b[38;5;241m|\u001b[39m BufferedIOBase \u001b[38;5;241m|\u001b[39m AbstractDataStore,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 641\u001b[0m autoclose\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m 642\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Dataset:\n\u001b[1;32m 643\u001b[0m filename_or_obj \u001b[38;5;241m=\u001b[39m _normalize_path(filename_or_obj)\n\u001b[0;32m--> 644\u001b[0m store \u001b[38;5;241m=\u001b[39m \u001b[43mNetCDF4DataStore\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 645\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 646\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 647\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 648\u001b[0m \u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 649\u001b[0m \u001b[43m \u001b[49m\u001b[43mclobber\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mclobber\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 650\u001b[0m \u001b[43m \u001b[49m\u001b[43mdiskless\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdiskless\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 651\u001b[0m \u001b[43m \u001b[49m\u001b[43mpersist\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpersist\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 652\u001b[0m \u001b[43m \u001b[49m\u001b[43mlock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlock\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 653\u001b[0m \u001b[43m \u001b[49m\u001b[43mautoclose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mautoclose\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 654\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 656\u001b[0m store_entrypoint \u001b[38;5;241m=\u001b[39m StoreBackendEntrypoint()\n\u001b[1;32m 657\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m close_on_error(store):\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/netCDF4_.py:407\u001b[0m, in \u001b[0;36mNetCDF4DataStore.open\u001b[0;34m(cls, filename, mode, format, group, clobber, diskless, persist, lock, lock_maker, autoclose)\u001b[0m\n\u001b[1;32m 401\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m 402\u001b[0m clobber\u001b[38;5;241m=\u001b[39mclobber, diskless\u001b[38;5;241m=\u001b[39mdiskless, persist\u001b[38;5;241m=\u001b[39mpersist, \u001b[38;5;28mformat\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mformat\u001b[39m\n\u001b[1;32m 403\u001b[0m )\n\u001b[1;32m 404\u001b[0m manager \u001b[38;5;241m=\u001b[39m CachingFileManager(\n\u001b[1;32m 405\u001b[0m netCDF4\u001b[38;5;241m.\u001b[39mDataset, filename, mode\u001b[38;5;241m=\u001b[39mmode, kwargs\u001b[38;5;241m=\u001b[39mkwargs\n\u001b[1;32m 406\u001b[0m )\n\u001b[0;32m--> 407\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mmanager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mautoclose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mautoclose\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/netCDF4_.py:354\u001b[0m, in \u001b[0;36mNetCDF4DataStore.__init__\u001b[0;34m(self, manager, group, mode, lock, autoclose)\u001b[0m\n\u001b[1;32m 352\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_group \u001b[38;5;241m=\u001b[39m group\n\u001b[1;32m 353\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m=\u001b[39m mode\n\u001b[0;32m--> 354\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mformat \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mds\u001b[49m\u001b[38;5;241m.\u001b[39mdata_model\n\u001b[1;32m 355\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filename \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mds\u001b[38;5;241m.\u001b[39mfilepath()\n\u001b[1;32m 356\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_remote \u001b[38;5;241m=\u001b[39m is_remote_uri(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filename)\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/netCDF4_.py:416\u001b[0m, in \u001b[0;36mNetCDF4DataStore.ds\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m 415\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mds\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 416\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/netCDF4_.py:410\u001b[0m, in \u001b[0;36mNetCDF4DataStore._acquire\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 409\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_acquire\u001b[39m(\u001b[38;5;28mself\u001b[39m, needs_lock\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m--> 410\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_manager\u001b[38;5;241m.\u001b[39macquire_context(needs_lock) \u001b[38;5;28;01mas\u001b[39;00m root:\n\u001b[1;32m 411\u001b[0m ds \u001b[38;5;241m=\u001b[39m _nc4_require_group(root, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_group, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode)\n\u001b[1;32m 412\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/contextlib.py:135\u001b[0m, in \u001b[0;36m_GeneratorContextManager.__enter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 133\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39margs, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkwds, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfunc\n\u001b[1;32m 134\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 135\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mnext\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgen\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 136\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mStopIteration\u001b[39;00m:\n\u001b[1;32m 137\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgenerator didn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt yield\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/file_manager.py:199\u001b[0m, in \u001b[0;36mCachingFileManager.acquire_context\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 196\u001b[0m \u001b[38;5;129m@contextlib\u001b[39m\u001b[38;5;241m.\u001b[39mcontextmanager\n\u001b[1;32m 197\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21macquire_context\u001b[39m(\u001b[38;5;28mself\u001b[39m, needs_lock\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m 198\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Context manager for acquiring a file.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 199\u001b[0m file, cached \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire_with_cache_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43mneeds_lock\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 201\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m file\n", + "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/backends/file_manager.py:217\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 215\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m 216\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmode\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode\n\u001b[0;32m--> 217\u001b[0m file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_opener\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 219\u001b[0m \u001b[38;5;66;03m# ensure file doesn't get overridden when opened again\u001b[39;00m\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124ma\u001b[39m\u001b[38;5;124m\"\u001b[39m\n", + "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:2463\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4.Dataset.__init__\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:2026\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4._ensure_nc_success\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mOSError\u001b[0m: [Errno -101] NetCDF: HDF error: b'/Users/mavj/ek-plots-tests/earthkit-plots/docs/examples/gallery/gridded-data/efas.nc'" + ] } ], "source": [ @@ -90,7 +64,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "d5a93f86-0e96-4840-a1d5-8c31eb82ec49", "metadata": {}, "outputs": [], @@ -105,21 +79,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "61b6f565", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsYAAAJGCAYAAABY2ENtAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3wT9f/Hn1lNk6ZNOtK9W8ouZQoUEAUUQYYbFdGfC3DvjVtx4fiqCIgL9xZkKIqCsgRki4zuvZuujGb9/oh3JG2BMsu45+PBgya3Pne55F73vtf7/Za53W43EhISEhISEhISEmc48o4egISEhISEhISEhMTJgCSMJSQkJCQkJCQkJJCEsYSEhISEhISEhAQgCWMJCQkJCQkJCQkJQBLGEhISEhISEhISEoAkjCUkJCQkJCQkJCQASRhLSEhISEhISEhIAJIwlpCQkJCQkJCQkAAkYSwhISEhISEhISEBSML4lOTJJ5+kX79+PPfccwecp6ysjAEDBtCvXz9KSkpO4OgOj3HjxvHkk0+Kr6+66ipmzZp1TLfx5JNPMm7cuGO6zhPBrFmzuOqqq47Luvv168fcuXOP+Xpbfp4dQUVFBS+++CITJ05k8ODBNDQ0HHDeTZs20a9fPzZt2nQCR3hyUl9fz1dffcXkyZP5+++/W02vqanh2WefZezYsQwbNowpU6awcuXKQ653xYoVTJo0iUGDBnHeeefxwgsvYLVafeYpLS3lvvvu4+yzzyYzM5Obb76Z3bt3H6tdO2xKS0t5+OGHGTFiBMOGDePaa6/ljz/+aDVfe/Zt8+bN3HzzzQwZMoSRI0dy1113kZ2d7TNPXV0dzz77LOeffz6ZmZlMmjSJRYsWtWusLpeLdevW8fDDD/P888+3OU97xnmky+3du5c77riDESNGMGLECO6880727dvXrrFLSJyMKDt6ABJHzvLly7nnnnvQaDStpi1atAiXy9UBozo6XnnlFQICAjp6GCcFN954I1deeeVRr2fcuHH07du3wwXr0XDzzTcDMG/evIPOt2/fPqZNm4ZWq+WKK64gKSkJrVZ7IoZ4UjJ37lzefffdgwr/iooKXnvtNVatWoXT6cTpdOJ2u33mcbvd3HfffRQWFnLLLbcQHh7OwoULuf/++3nzzTcZOHBgm+vevHmzKDBvu+02cnJymDNnDk1NTTzzzDMAOBwObr/9dmw2Gw899BAqlYr33nuP6dOn89133xEcHHzsDkg7qK+v58Ybb8Tf35977rkHvV7PV199xX333cfs2bPp169fu/dt27Zt3HLLLZx11lk8++yz2Gw25syZw/Tp0/nyyy8JDg7G4XAwffp0amtrufnmm4mKimLZsmU8/fTTyOVyLrzwwgOO9YMPPuCbb76hoqICmUzGmDFjWs3TnnG2RXuWq6ysZPr06URFRfHoo4/idruZP38+06dP54svviAsLOxoPgoJiQ5BEsanKIGBgVitVpYvX86ECRN8prlcLn788UfCwsKoqqrqoBEeGdHR0R09hHbjcDhQKo/fV0iv16PX64/b+k83XC4XM2bMIC4ujjlz5uDv79/RQzokx/scag/FxcXU1dXx2GOPERQUxF133dVqnsLCQrZv385jjz3GxIkTATjrrLOYMGECS5YsOaAw/vLLL4mKiuL5559HJpMxZMgQmpubeffdd7n33nsxGAysX7+evLw85s6dS9++fQHo0aMH48aNY+nSpVx99dXHa9fbZNGiRZSXl/P9998TFxcHeJ6wjBs3jsWLF4vCuD379uGHHxIREcGsWbPEzzkuLo4pU6awevVqxo0bx6pVq9i7dy+zZ89mwIABAAwaNIh9+/axaNGigwrjv/76i/Hjx3PhhRcybdq0NudpzziPdLnVq1dTV1fHRx99RGxsLAApKSlceumlrF69WjxXJCROJSQrxSmKTqfj7LPP5ocffmg1bf369ZSWlrZpH2hsbGTmzJmMHDmSoUOHcvfdd1NaWuozz7fffsuVV17J4MGDGT16NM8995zP4+gnn3ySq666iqVLl3LJJZeQmZnJ5MmT2bp160HHnJuby9SpU8nMzGTMmDG8//77rSJTLR/FV1VV8fjjj3P++edz9tlnc/PNN7NlyxafZWpqanjyyScZNWoUw4cP55ZbbuGff/5ptf1ly5Zx8cUXH3C8K1as4P/+7//IzMxk1KhRPPzww1RUVIjT586dy8CBA/n000+58MILufXWWwFPNG3evHmMHj2azMxMMVrS0saSm5vLXXfdxbBhwxg1ahQvvfQSNpvtgMerpQXk5ptv5t577+WTTz5h3LhxDBkyhJtuuomcnJw2l587dy79+vWjtLRUvKB7Rw6tVivPP/88I0aM4Nxzz+Wxxx6jsbHRZx2rV6/mmmuuITMzkwkTJvDVV18dcLxtUVtby/PPP88FF1xAZmYml19+OT/++KPPPAf7jH/88Uf69evH5s2b2bx5M/369Wu1vMDGjRvJysri0UcfPWxRXFRUxB133CGemy0j0263m88//5yLL76YwYMHM3HiRD766COf87cty05Lq8aBzqHGxkZeeuklxowZw9ChQ9tlUygqKuKxxx5j5MiRDBkyhGuuuYbVq1cDUFJSQr9+/Xj33XcBj7A70BOD3r17M3v2bMaMGXPA4yY8Pg8KChLfUyqVBAYGYrFYxPcmT57M3XffLb7euXMnAwYMQCaTie8NGDAAp9MpWiV27tyJSqWiT58+4jyRkZHExcXx77//HvQYLF26lKuuuorMzEzGjh3Lm2++SXNzszh97ty5DB8+nHXr1onzXXrppQc9tjqdjokTJ4qiGMDf35/o6Gjq6+sPa9/i4uK4/PLLfW5+kpOTAcR1KRQKRo0aRa9evcR5ZDIZSUlJB7UBAcyZM4epU6cSExNzwHnaM84jXU44LwIDA8V5hAi/93khIXEqIQnjU5iJEyeyY8eOVn61H374gd69exMfH+/zvsPh4JZbbmHVqlXceeedPPXUUxQXF3PrrbeKF5NPP/2Ul156iXPOOYfXX3+dW2+9lT/++IMXXnjBZ105OTl88sknTJ8+XXxE+Mgjj2C329scq9Vq5dZbb6WkpIRHHnmEhx9+mE2bNlFWVnbQfbznnnvYsWMH9957r+ipvu2228jLyxPXe9NNN7F582buvPNOnnnmGdxuN9OnT6ewsFBcT0VFBR9//DG33HJLm+P9/fffefDBB+nWrRuzZs3i/vvvZ8+ePTz00EOtjuGvv/7KfffdJ0bWPv30U+bNm8fw4cN5+eWXGTx4MG+//bbPciUlJVx//fXU19fz9NNPM23aNJYtW3ZQn3hbrF27lj/++IMHHniAxx57jKKiogMKngkTJjB//nxCQ0MZPHgw8+fPp0uXLuL0zz77DIDnnnuO66+/nl9++YX33ntPnP7bb79x9913k5qayosvvsh5553HK6+8wsKFC9s93ltvvZWNGzdy++238+qrr5KZmclTTz3F+vXrxXkO9hlnZmYyf/580tLSSEtLY/78+WRmZra5rQ0bNmAwGFi+fDnnn38+Z511FpMnT2bbtm2HHOdrr71Gv379mDVrFoMHD2bevHmiyAR49dVXef311xkxYgQvvfQSI0eO5O233+aVV15p97EQaOsceuaZZ/jll1+YNm0aL730EpGRkTzwwANten3BIzpuuukmCgoKeOihh3jllVdITk7mvvvuIysri7CwMObPny8K9fnz53P99dcf9lgFOnXqRM+ePXnvvffIzs6moaGBzz//nJycHC666CJxvldeeYUZM2aIr6urq1tFJENCQgAwmUw+83gLMGG+2traA47p888/5/HHHyc9PZ0XX3yRyy67jC+++IIHH3zQZ76mpiZeeuklrr76al588UX0ej2PPfbYAdc9ceJEHnvsMZ/36urqyM7Opn///oe1b/fcc0+riPfmzZsBxHUNHz6cmTNnolarxXkcDgfbt28Xo9NHQ3vGeaTLjRw5kqCgIF555RWqqqqoqqrilVdeQa/XM3LkyKMeu4RERyBZKU5hBgwYQFRUFD/88AP33nsv4Ime/vHHHzz22GOtorHLli1j165dvPvuu/Tu3RvwRC8uvfRSVq1axahRo8jMzKRPnz507doVAKfTSV5eHt9++63PutRqNbNnzxZ/OO12O4888giFhYViRMSbhQsXUlFRwWeffUZaWpo4/rY8cQImk4ldu3Zx3333cd555wGQnp7Oo48+SkFBAYmJiSxatIiCggK+/PJLcbv9+/dn7NixLFu2TPSm+vv7H3S8aWlpvPfee2LUxul0Ul9fzwsvvEBDQ4NPROS1114T1+NwOPjwww8ZPny4KKIHDx6M2+3mf//7n7jMvHnzkMvlvPHGGz7revHFF7njjjva7cULDw/nrbfews/PD/AkWb711ltYrdZW0b7IyEgiIyPx8/MjJCSEjIwMn+mjRo3ikUceAWDgwIFs2LDBR4i9/vrr9OvXjyeeeAKAIUOGUFxczCeffNLKvtMWTqeTBx54gKioKCIiInC73fTt25elS5eyZs0aBg4ceMjPeNiwYYSEhKDT6QBa7YM3BQUFmEwm1qxZw4MPPohKpWLOnDnccccdfP/99+JFvS3uuusuUeD179+f5cuX8/fffzNkyBCKior44osvuOmmm8TzaciQIahUKubPn88VV1zR6ib0UHifQ+C54bnooosYP3484PluPPjggxQWFor2Am9kMhkzZ84kISGB4OBgXC4XGRkZLFmyhA0bNpCamkpGRgZ//fXXIY9be5DJZLz66qtce+21XHHFFeL79913n8+NSmRkpM9ybVlF5HJPPEa4KbXb7W3aSeRy+QFvtC0WC7Nnz2bcuHHi927IkCGEhoby1FNPsWHDBtGW4Ha7eeONN8TPyGAwcN111/HPP/8wZMiQdu3/K6+8gsFg8Dnv27NvLTGbzcyaNYtzzjlH/B1si7lz59LY2Mg111wjbsvpdIrTlUolCoWiXWM/1DidTicOh0OcplAoUCqV7do/o9HIq6++yvTp01m2bBnguTbMmzcPo9HYrvFJSJxsSML4FEYulzN+/Hi++OILbr/9dvz8/Fi8eDFqtZqRI0fyyy+/+My/fv16jEYjPXv2FH8IY2Nj0ev1/PPPP4waNYrExESWL1/OCy+8QF5eHk1NTW1uOygoyOfCLoiOA0Vhdu3aRUxMjM/FQK1WHzQxKigoiNTUVD755BNUKhWDBg0iOjqaN998U5xn8+bNxMXF+Yhxf39/cZn2jjcmJoaioiKmTp1KVlYWdXV14rwthbH3esrKyjCZTJxzzjk+Y2+ZMLR+/XoGDhyIRqMRj33Pnj1xuVz8+++/DB069IDHwZuIiAhRFAOEhoaK+xEVFdWudQh4PyoGzzERIvH5+fmUlJRw7bXX+lw009PTWb58OWaz+ZBJbQqFgpSUFD744ANWrFhBeXm5uC7hEXF7PuP20tTUREhICPPmzROFdFpaGhMnTuSrr746oAez5bFQKBTo9XoxKrZhwwbcbnerm7hx48bx7rvvsnHjxsMWxi0jcX379mXJkiWEh4eTmZlJUlLSQaPR/v7+xMTEMHv2bNatW0dlZaUonA71+P1IcLlcPPHEE7hcLp555hlCQ0P56aefeOutt+jWrRvp6emHvc6WEeLDmWfbtm1YLJZWn8kFF1zAs88+6yOMAZ/Ppz3RUm8++eQTfvnlF95+++12J3K2NW6Xy8Xjjz+O1Wpt9STKmxUrVvDhhx/yzDPPEB4eDsCzzz7L4sWLxXmeeOKJY1JpRyaTsXTpUp566inxvQsvvPCQibrC/lVXV/PYY4/Rs2dPpkyZgtvt5oMPPmDGjBm8//77B/QvS0iczEjC+BRn/PjxvPvuu/z222+MHj2aH374gfPPP79Nr2BtbS2VlZVtJsoIfrdvv/2WmTNnMm7cOG666SaCg4P54Ycf+P7779s1npZRaoHq6mpRxLUXuVzOnDlzeO+99/jggw+YOXMm8fHxTJ48mYsvvhjwPOJsKxLYXpEojHfNmjXcddddDB06lBkzZhAWFsaaNWtEj+aBEIT1ofattraWn3/+mZ9//rnVNG/f4pFyoON+pOsR9mvmzJnMnDmz1Xz19fXtEgl33nkn+fn53HDDDaSlpaHVarnnnnvE6e35jA+HuLg4URSD50YiMTGRrKysw15Xy2MhiBQB4TNvr8A6GDNnzmTBggV89913vP7660RERHDppZcyZcqUNiODVquVG2+8EZfLxfXXX09SUhJqtZopU6Yc9VjaYu3ataxdu5Z58+aJXuABAwZQWFjIq6++yocfftjmckqlslV1HCHaKNy4qlSqNivoOByOA1aoET6TllFJpVKJwWBo12fSnu/M8uXL+d///scjjzzSKnLfnn3z5uWXX2bjxo3MmzfvgL8XW7Zs4fHHH+eGG25g9OjR4vs333wzl19+ufj6cJKUDzXOs846iwULFojTBDHbnv375JNPaGpq4tVXXxW/d7169WLcuHF8/PHH3H777e0ep4TEyYIkjE9xIiIiGDhwIAsXLiQ8PJyCggKeffbZNufVarXEx8e3OV34MVy4cCG9e/cWH58DPl7LIyUsLIzt27cf9nIGg4F7772Xe++9l6KiIr7++muef/55/Pz8uPDCCwkKCjoi0dOSRYsWERUVxSuvvCI+LszNzT3kcsKF+VAXYq1Wy6BBg5g8eXKraSdjJQ5B9N55551tPspvz01OdnY227dvZ8aMGT6PoFuKhkN9xu0lLCzsgJ7co6n8IFQGqamp8bEKVFZWAvufDrQnAnogNBoNU6dOZerUqVRUVLB06VJmz56Nw+HgpptuajX/pk2bKC4u5p133vHxvR4vhO9Yt27dfN7v0aPHQRMyg4ODqa6u9nmv5c2kwWCgtrYWp9PpcxNQU1NzwEi8kARYU1NDYmKi+L7D4cBkMh2TEm+bNm3iiSeeYPr06W1WV2jPvgm8//77LFy4kP/973907ty5ze1lZ2dz7733Mnbs2FZPN6Kjo4/4d+JQ4zQYDG1Gdtuzf1lZWa1uRoOCgkhISJBqGUucskjJd6cBEydOZNOmTcyZM4e0tLRWFy+B3r17U1paSlBQEN26dRP/hYWFiT+6DoejVSTwQFUPDocePXpQWFjosy6r1YrZbD7gMhs3buSSSy5hz549gMf2cffddxMYGMiuXbvEfSosLBQtAMI+TJ48+bAaWDidTvz9/UVRDO3bb6PRSFhYGL///rvP+zU1NT6ve/fuzb59++jUqVOrY3+8HzfK5fLDjignJyej1+vJzc31GW9aWhpRUVFtRsRaIjza9476VVdX+9xEtOczFvbhUAwaNIjy8nIxuQk8Vpfc3NyD+jkPRf/+/ZHJZPz0008+7y9ZsgSZTMZZZ50FeMRCbW2tj/XkYMljAnl5eVxyySXiDWh4eDjXXXcdqampPsfAG2Eb3t/Vlkm4sP+4He0TBcED31Ls7N2796D++B49erBx40afY/LXX3+hUqnERNCePXvS3Nzs87kVFRVRXFxMjx492lxvr1698Pf3b/WZLFu2DKfTKX4mR0pWVhb33Xcfl156Kf/3f/93xPsGsHjxYubOncuzzz57wGS6iooK7rjjDvr163dQm8WR0N5xHslyYWFhFBcX+1SgMJvNFBUVHfYTQgmJkwUpYnwaICQobd68mfvuu++A81100UV8++23TJ8+nRtuuIHo6Gi2b9/O+++/z5tvvknfvn0ZNmwY77//PgsWLCA1NZVly5axYsUKwOPhPNLmG+PGjeODDz7g7rvvZtq0aeh0Oj777DMfL29LunfvjtVqZcaMGVx//fUYDAb+/PNPGhoaRDvIuHHj+OKLL7jzzju56aabMBgMfP311xQUFHD++ee3e3xDhw7lmWee4c0336R///6sWbOGL774AuCg4l2hUDBlyhReffVVXn75ZYYMGUJWVlarcl/Tpk3j//7v/7j11lu5/PLL0Wq1LF++nD/++IOFCxf6eJiPNREREWzZsoXffvuNHj16tLIEtIVSqeS2227j+eefRy6XM3z4cGw2G59++ikqlapdNx3JycmiD1ahUGC1Wpk/fz4Wi0X0rrfnMwZPUteqVatYvnw5Xbp0aTOSOGrUKD7//HMeeughbr31VnQ6HfPnzycoKMjnMfThkpCQwCWXXMI777yD1WqlZ8+ebNu2jY8++ogrrrhCLJU1cOBAPvzwQ2bOnMl5551HQUFBu45TfHw8Wq2WmTNnig0etm7dSlZW1gGTHDMyMsRqADfccAOVlZXitrzPVyHC/cknn5CRkUHPnj2P6Bice+65zJ07l8cee4ybbrqJkJAQVq5cyV9//cX9998vzldWVoa/v794s3fllVcybdo07r//fi6++GIKCgpYsGAB48aNE6OMgwcPJjExkRkzZnDbbbeh0Wh47733CA4O9rETeKPT6bjpppt48803USqVDB48mJycHObOncuwYcOOqppDWVkZd9xxBzExMZx77rmtyjrGx8cTEhLSrn1bv349zzzzDGPGjCEkJKTVurp160ZzczO33347MpmMSy+9tNWTNSGJ9khpzziPdLnLL7+cn376iXvuuUdMyvzss8+wWCxH9Z2TkOhIJGF8GqBUKhkzZgxfffXVQas8aLVa3n33Xd58803efPNNLBYLSUlJPPXUU+Lj8uuvvx6z2cynn36KxWIhMzOTBx54gC+//JKCggKxWsXholarefvtt5k5cyZPP/00er2eSy655IDJfcJ4582bx5tvvsnLL7+M1WolISGBp59+mmHDhgGeaOS8efN44403mDVrFs3NzfTq1Yt58+b5PGI9FOPHj6eqqorvvvuOL774gr59+/LEE0/wwQcfUFxcTGpq6gGXvfLKK2lsbOTbb79l6dKl9OzZk6uuuooPPvhALMEklBp76623ePLJJ5HL5aSnpzN79uzjKorBI8qffPJJnnzySV599dV2CWPw3EhptVo++ugjlixZQkBAAEOHDuWOO+5o1/JKpZLXXnuNl156iRkzZqDX65k0aRJ79+4VI+rt+YwBpkyZwq5du3j66ad56KGH2hTGSqWSN998k9dee43XXnsNu91O7969efbZZw8qANrDAw88QGRkJN9//z0fffQRUVFR3H777T6luPr168ddd93FF198wa+//kpqairTpk1rVeqwJXK5XPxOzp49m4aGBqKjo7nrrrt8KkB4YzAYeO2115g1axYPPvggERER3HbbbSxevNjHsz5q1CiWL1/OnDlzGDNmzBELY61WywcffMDbb7/NO++8Q319PYmJiTz77LM+4vXee+/FaDTy+uuvA9CnTx9mzpzJvHnzuP/++9Hr9Vx88cU+3lPhc5s1axYvvfQSLpeL9PR0nn766YN+btdeey16vZ5PP/2U77//ntDQUK6++uo2rSeHw8aNG6moqKCioqLNdQmJb+3Zt59++gmn08mPP/7YZv3tRYsWUVJSIkb7b7nlllbz3HTTTUydOvWI96c94zzS5bp27cp7773H7NmzxW54Xbt2Zf78+Ud8rZCQ6Ghk7mOVtSMhcYZitVqRy+U+1SJefvllli1bxm+//daBI5OQkJCQkJA4HKSIsYTEUfLWW2+xfft2rrzySoKDg9m2bRvffvvtQcuDSUhISEhISJx8SBFjCYmjpLGxkffee49ff/2VmpoaYmJiuPTSS7n00kvblTQmISEhISEhcXIgCWMJCQkJCQkJCQkJpHJtEhISEhISEhISEoAkjCUkJCQkJCQkJCQASRhLSEhISEhISEhIAKd4VQqz2YzNZuvoYUhISEhISEic4ajV6ladYyVOPU5ZYWw2m8Xi6RISEhISEhISHYlCoWD06NGSOD7FOWWFsc1mw+l0MmDAAIKCgsT3nU4nmzZtYvny5XTt2pWLLroIhUJxRNtwOp00NzejVqvZu3cvkZGRuFwu3nvvPVJTU+nZsycxMTFoNJpjtVt8/PHHOBwOYmNjqayspKqqiqqqKkaMGMGuXbuIjo5m/PjxyGSyA67D5XJhMpmoq6vDYDCg1+t9yoZVV1ejUCjEtq0SR0deXt5hddk7k7FYLNTX1xMREdHRQznlcbvd5OfnExsbi1K5/6fcbrdTWVmJw+HAaDQe09+n48mOHTtYv379UXeuO5VoamqisrKS+Ph4qbTjMcTlclFQUEB0dLRP46XjSX19PRs2bMBms0nC+BTnlBXGAkFBQQQHB+NyuVi9ejVff/01QUFB3HDDDXTv3v2YbWfQoEHi3/fddx9fffUV33zzDUVFRYSEhGA0GomMjKRr164MHDgQlUrV7nXn5eVRVVVFY2Mjq1ev5uKLL8ZsNtOpUyeGDx9OVFQUISEhTJw4sd3rDA0NxeVyUVVVRUVFBaGhoYSFheF2uykvLyclJeWg4lqifTgcDvEclDg0QUFBNDU1ScfrGKFSqaipqSEhIQGbzUZpaSl2u52EhISjboN9oikvLycsLOyMOjeCg4MJDAykoqKClJQUSRwfI4RgxZl0LkkcO055YQywe/duPvzwQxwOB9deey19+/Y9rqIvJCRE7GpmsVgoLy+noqKC4uJili9fzgcffEBCQgIxMTEkJCSQmppKYGAgoaGhPuNyuVxs3ryZt956i6SkJJRKJXfccQdDhgw5JuOUy+WEh4cTFhZGdXU1e/bsASA8PFwSxccIs9l8ykTkTgYUCgUul6ujh3HaEBgYSFFREXv37kUulxMVFUVAQEBHD+uwcbvdbNiwgSuuuKKjh3LC0ev1uFwucnJypIDFMaC6uhq5XC6JYokj5pQXxh9//DHbt29n0qRJnHvuuSf8jluj0ZCYmCg+Sr/ooosoLS2lsLCQkpIStm3bxqJFi6ivryckJITOnTuze/durFYrDQ0N6HQ67r77bnr16nXcxiiXyzEajRgMBv755x8qKiqw2WyEh4f7PIKVOHwsFoskjA8TuVyOy+WSomNHSVNTE6WlpeLr1NTUDhzN0ZGbm4vJZKJ3794dPZQOITg4GLfbTU5ODsnJyZI4PkLMZjNVVVWkpaV19FAkTmFOeVUUExPDDTfccFJFSaKiooiKivJ5T4gOFxUVMXz4cIKCgtDpdAQGBp6wH8GysjKSkpIICgrCZDKRnZ2NRqMhMjLyhPmwTjcsFovk1T5M/P39sVqtkg/vCHC73dTX11NeXo6fnx9xcXGo1Wqys7OxWq34+/t39BCPiJUrVzJs2LAjzgc5HQgJCcHlcok2AEkcHx5Op5P8/Hwp6i5x1Jzywvjcc889qUTxgZDL5fTr149+/fp1yPabm5uxWCzExcUBnghFcHAwDQ0NFBQUIJfLiYiIOCWO5cmEzWaTbioOE41Gg8VikYTxYeByuaipqaGqqgqdTkdSUpJPHkNMTAxFRUWnZNTYZDLx559/8swzz3T0UDqcsLAwnE4nBQUFxMfHSwKvnbjdbvLy8oiJiZF+jyWOmlNeGEu0j5KSEqKjo1u9HxgYSGBgIFarlbKyMoqKiggPD8dgMJy0P8pms5n3PvmKvKw9jBk3kRFDz+rQ8Zysx+lkRaPRUFtb29HDOCWw2+1UVFTQ0NBASEgIaWlpbVpQ/P39USgUNDU1nbCbW6fTiclkoqmp6YifOr366qusX7+e8ePHExsbexxGeeoRERFBaWkpxcXF0jFpJ+Xl5Wi1Wp8KVRISR4okjM8AbDYbDofjoFnq/v7+JCYm4nA4qKysZPfu3RgMBoxG40njQ3a73ezatYv5HyzAT62mMC+bhvr6DhuP3W4/aY7NqYRGo6GkpKRDtu1yuVjy+3qaUWJvbqZb166kJ4Z2yFgORlNTE+Xl5TidToxGI9HR0Ye8AYuOjqagoIBOnTod17EVFRWxdOlS/vrrLxwOB/7+/vj5+XHdddfRt2/fw1rX4MGD2bRpE/Ud+D0+GYmKiqKoqOiAAQ2J/dTV1dHU1ERycnJHD0XiNEG6qp8BFBcXt/vHValUEhUVRWRkJLW1teTk5KBUKjvcZrF9+3aee+453G43AFpdEKFhRkYNH9xhY5IS744MIfmuI/hhyS98/83n6AL1qPzULP7sXaZMu4tRgzMoKytDpVIRFhbWIWNzuVzU1tZSVVWFv78/0dHRh+UZVqvV+Pn50dDQQGBg4DEfn9vt5pdffuGzzz7jvPPO48knnyQuLg63281ff/3F/Pnz+emnn7j66qvbXdd74MCB5Obm8v333zNlypRTrsTc8SQmJoaCggLKy8ulut8HQChR2KlTJ+nJncQxQxLGpzlmsxngsP2cMpmMkJAQQkJCxJJ0Qs3mkJCQE54k88abb+F2u8k853wSUtJQ6UIYM6hbh/4YSj7ZI+d4Vab46c+/+XrBXNSaADp368nU664SxaXb7WbZkoVM+r9bMCZ0BmDtrz+ydeNatmxYw/bNG8Ht5sJLr+LCEZnYbDY2bdrEueeee1x9i1arlYqKCsxmM8HBwaSmph7x9ys6OpqcnBzS0tKO+rvh/fk0NjYyZ84cioqKePLJJ32Er0wmY+DAgfTu3Ztly5bx1FNP0atXLy6++GLi4+MPuo0//viDVatW8eqrr0qiuAUymYz4+Hixzn1H3bCdrDidTnJzc0lKSjqjkzYljj2SMD7NKSkpOWqfmlCSzul0UlNTQ1ZWFmq1mvDw8BMmDB9+4nlkMjkpMSEnZHvtQapIceQcy8oUe8vN4t8/fP4BoRExdM0YwLKvPkCtMxCTmEpFSSHXXnw+TQ317Pt3B9Gx8dgVGlQqPxqsVvb8s43r7n4Sc2M9y758n0VfLsDpdKDTBbLqzzVcde1NdIoPP2ZVH4TocHV1NUqlkvDwcOLi4o5azKpUKgICAsSul0fKBx98wLJly1Cr1Wi1WqxWK4MGDeKFF1444DFQq9VMnDiRkSNHsnjxYp544gn69u3LLbfc0uYNUEVFBR988AGPPvqo5KU9ADKZjMTERHJycpDL5YSEnDy/fx2JkGwXFRWFWq3u6OFInGZIwvg0prGxEaVSecwu5gqFAqPRiNFoxGw2U1lZicViITg4mNDQ0OPqt02NPfmiJVJFiiPnaCtTlNfbqbPY0WtUuCz1/LR0MX0GDaV/5nBW/7acguwFdM/ox2UXnM1d99yLzWKmc1oaV91wGwvmvEqTxUrfISNZtfQbhp8/jmablSBDCDY/HRdOfwwdzfy7+S/Cu/bly5cf4JXnn8TtdjH8/HFcdtF4AjXt72zpTVNTE1VVVeL3Jjk5+Zh/byIjI8nKykKv1x+x0E5KSgLAz8+PlJQUBgwYwJAhQ9o1Vp1Ox6RJkxg/fjxPPPEEy5cvZ/To0a3m+/DDDznvvPNOyUoaJxKZTEZSUhLZ2dnI5XLpZhwoLS1Fq9Wi1+s7eigSpyGSMD6NKSkpabfX73DRarUkJCTgcrkwmUzk5uYik8kICwsjKCjojGneIPnajgyNRkNNTQ2hoUeX+FZnsbPkx4Xs3bWdLRvWEBEdS1ODCZWfPz37nMWvG3ejC9QTkdCJooJcKstK6NZnEGePuZQd634FYOXPPwLgcjnF9WoDAuk7dCQVTTYuv+8F4sJCqCgpYMXCz6mtKOXeu25r9xjtdjvV1dWYTCY0Gg1Go/G4PmlRKpUEBQVRW1t7xBHG4cOHk5mZye7du9m6dSs//vgj77//Pueeey7XXnttu8776upq0crVFgaDgdzcXJxOp/Qo/BDI5XJSUlLIyspCoVAcFw/5qUJtbS02m+24XdskJM4M9XIGUl9fL2aLH0+Ex3udOnUiPj4ei8XC3r17ycvLo7GxUUyWO92QKlIcHRqNBqvVesTLRwR5IrYWcxPb/17P5Kl3ccP9z4FaR88h5xEWk0BeXi7Z/26jc3o//OQy7DYbTqcTQ6gRk0NGeI9Mbnngqf9EmQy3pY40o440436va3iAmvSESIID/BiQ3pVLJ9/A3xvW4XQ6DzAyD06nk+rqavbt20d+fj5qtZq0tDQSEhJOiP0oIiKCioqKo/r+qVQqevbsyTXXXMOsWbOYNWsWO3bsYMmSJYdcduPGjcyYMYNx48a1GS0GuO6666iurubvv/8+4jGeSQjiuLi4mKampo4eTodgNpupqKggISFBCkpIHDckYXwa4na7KS0tbdV973jj5+dHVFQUXbp0ITw8nJqaGvbs2UNRUdFBI0enIlJFiqPjSCtTFFY18cHn32M2m0mL0FKwdwcGQzByrQF/bQDDLvk/eg4dTVVxHkPOHkFJfg4WfSRmuR/bdmzHYW9GqfSIarVGizY0Grc+CnCTW92EyWzHZLaL2zNoVeJ7/+SW8Nl7bzP07LPbjHAKvuHs7Gyys7NxOp0kJSWRmppKcHDwCX2KolAoCA4Oprq6+pit02g0cvfdd/P1119TXl5+wPk2btzI7NmzefDBBw8oisHze3HOOeewfv36YzbG0x2FQkFqaiqFhYVYLJaOHs4JxW63k5+fT3Jy8hnzRFKiY5DOrtOQuro6AgICfDpjnWi0Wi3x8fF07twZvV5PRUUFu3fvpri4+LT4QZeE8dFzuOLY6oC5b73Gsu8/5+tFy3ni6WeJCNZRVlrMznUrAE+E11aeT3BYBCo/P2oqy+iS2pneg86hrqKYyspKlCoV4QFqwgM8STvy4BgAgkKNGLQqDFoVFU02cbsGred79Mt3nxAam8y0m28SpwlWol27drFu3Trq6uqIi4sjLS2N8PDwDn2qYDQaqaysPKal8WJjYxk7dixz5sxpMxqdl5fH7NmzeeCBB+jatesh19e3b1+2bNlCQ0PDMRvj6Y5SqSQ5OZm8vDxsNtuhFzgNcLlc5OTkkJCQ0KHXNYkzA+lZ8GmG2+2mrKzsuBf5by8ymUzsrud2u2loaKC8vByr1YpOpyM4OBitVnvKPRazWCxS4sdR0t7KFA6Hg+3/7Oa7b79l7+5/PILabiU3ex9vv52Fn9qfqOSubC03kRFhoKJgH2ldu7Nl89/EJqURE6InVKNiSU0VzXY7F151s7hug1aFPCIFsv8ir6KSzuFBYsS4vNGKwt5EU205q/9YRWVpAf97/TVcLhd1dXXU1tbicDjQ6/XkFRbz4XvvolQqSUxOZcjggaj8tQwa0K/DypDJ5XLCwsKorKw8pnVwL7roIpYvX05hYWGrcmy7d++md+/e7RLF4Glk0bt3b7GOsUT78PPzIzk5mZycHFJSUk7rJGChAsWJrIIkcWYjCePTjNraWoKCgk7KZBaZTEZQUBBBQUG43W6ampqorq6msLAQf39/goODCQwMPCUek9lsNqlM0FFyqMoUbreb9Rv+5puvvqC8ooJho8YSGByKud7E5k3rcbvdqNT+NNssdO6UirzK47usqqqiU+cu7Nu1jU7dMwCodylI7H8OEZ17ofbXkBCqpc7isUjIwxIA2JBrIiGsji0/fUFFeRm1lWXgchIRFUNypy7cee9DFBcX43a70ev1xMXFiYJEsWMXALff9yg5efns2JNDY20lK1eu5Lmnnzyux/FghIWFsXv3boxG4zH7XqlUKgYOHMjatWtbCeOqqirCw8MPa32TJk3i/vvvZ+zYsUedjHkmoVarxVJuqampp23OQ3FxMQEBAQQHB3f0UCTOEE7Pb9IZitvtpqKi4qSJFh8MmUyGTqdDp9PhdruxWq3U1tZSVlaGQqHAYDCg1+tP6sdmp1qU+2RDo9FQW1t7wOlOp5PXZr2EThfIjXc+zKbVv7Lj7w3EJ3eivLQElcrP0zI5LpVVeVVE6zzWFoNBj6mmmr27/yFs0IWiLWLYBZcAUNFkw6BVodd4/MOXZ8Twtfwxz0Zl8M/f6wAwRkSR0SsdY3gEXdJSCQ3RYTAYxHOyvN4OVk90ec2a1Yw4fyzaAB1qhYzunVOprw9n4ffftquRSXNzMytWrMBut+N0ywkMDKRr51SioqKOStDKZDLCw8MpLy8/pjkHgwcPZs6cOVxxxRU+34Pq6mq6det2WOsKDw+nV69ebNy48aCeZInWaDQa4uLiyMrKolOnTidlQORoqKqqwul0SnWuJU4okjA+jaiuriY4OPiU+3GUyWRoNBrRs2u326mrq6OgoACHw0FAQAB6vR6dTndSiFGHw3HaRmdOJP7+/gf1myuVSl544QVmvfoac2Y9TUJiMt17ZlBeUc4NdzzEe2++SGhkNIMnTKbGy0arUAdQVZyLXKFErQtqtV7BW5xfbeattXngcoJMhp9CRpjCzq33P47bbsbWbMdus7Lou6/4/rtm5HI5TY0NxMbFYWt2UFSQR2hoGNGx8RQW5HLd/93A4iVLWL3yV9K6dCcqKoJbbr8Tk8lEXmEJbrebvhk9sTqgqrKS/Pw81EoZSqWSdes3sHnz3/TM6Ivb5aLOVMsnnyzA6XAQGZuIPjqRicP7k5aWdtiPzUNCQtizZw/h4eHH7LehS5cu2Gw2cnNzSU5OFt+vqak57BJxTU1NZGdnM3LkyGMytjONgIAAYmJiyM7OJjU19ZR44tYe6uvrMZlMpKSkdPRQJM4wpKv7aYLL5aKyspLOnTt39FCOGpVKRVhYGGFhYbjdbhobG6mvr6ekpAS5XC7aMfz9/TtEKJvNZinx7higUCgOmRiWnJzMS7Nep7KigurqKj79ZAHVFWWs/X05SoWSiZdPwazVEf3f/AatiuqKUkJCQ1HmZDE8ycjeykZRDAuJdADvrMsjsLGIELmVMFUzacld0frJURtiUSj90GtU1FnspO3Zy4bVv4vLFRUWMuGSSQQZryTUGI6pvIgw4xUEBIfjSupDRGkVleX51FRXser33wBQ+fnhdrm4++67WbL0J3Ky9xGXmIzV7kTmctKsDqTbxBu5YkgGAG+uzWX6VeHU11ZTWphLVtYeZs97D1N1BYER8QTHpXDt6ExSU1MP+VRFJpMRERFBWVkZMTExh/kptY1cLhcT57yFcWBgINnZ2fTu3btdAs3lcvHGG2/QvXt3evbseUzGdiYSGBiI0+kUPccnQwDhaLBYLJSUlNCpU6dTfl8kTj0kYXyaUFVVRWho6GkTLRDwTt4DT7S2oaGBiooKrFYrSqWSwMBAgoKCUKvVJ+RHVKpIceyQyWQHtBpYHVBntqNTNLNo0SJ2bNuMUqHAZrPx747NhBrD6dYljU2FJgD6xwezcFcJtZZm/t3yF2cNHQHsjxC73S7WZhVSWG7CoHSQrrJQpYLkLj0xBuopzM+iobaGwWedhdnpiSgbtCoUKX2Rr1+NDHCHJhKRPog+Q4fhNNezbv1fuFP7ERZkYOGuErTBRnqMuYqCzX8ypGdXZP6BvP/KDK684TaWfP0xL7/8MldcOZk777mPSrMbk9lORZONkkZP5Dy/2szWcpN4bPQhYehDwghJTQcg2t/FkrUbqC3M5o2352BprOfCsWO44IILDprkZzAYKC8vP6ZPO3r06MGvv/7KJZdcIr43adIkZs6cyaJFiwgMDBQrKNx0001tju+TTz7BbDZz//33SwLoKDEYDDidTnJzc0lKSjplj2dzczN5eXmkpKScck8/JU4PJGF8GuByuaiurqZLly4dPZTjjlKpJDg4WEzEsNvtNDQ0UFZWhs1mQ6FQoNPpCAwMPG7VLqSKFMeOA1WmsNjdlBQXk5W1l/fmzQFg8v9NpWuPdJ56+B66pvchQBfo8dAGqKlosrGxwONXju93NnKlir7Dx2Brqqe5vh6l245MBnmF1dS4/Vm/aiXBGSNx2ZVMiIrAoFURruuBXqPk+++/o8+w0Xy3bDGdB55LQGgEZ9/yFL3CDczdVMK+9T+iv3QkK/7cQK/MkaKQFZDJZCT0HUZohAGAa2a8Sf+EEHZt/ovqqkpcUd1odisxmc2tSsN5/w2+Ee6KJhslVjkRab2ISOsFQLSzns1//MTiW28j8+wRXHHJ+DbPTZlMRlRUFKWlpcTFxR3Zh9WCbt268fbbb9Pc3CzaO2JjY3n77bcxmUw0NTXhcDhYsmQJDz/8MPfcc4/YatpqtbJo0SLWrVvHzJkzT+pcglOJ0NBQnE4nBQUFxMfHn3Li2OFwkJOTQ1JS0mldaeN4YrfbmfbwW7z40DWEhYV19HBOSSRhfBpQUVGB0Wg85X4EjwUqlYqQkBDR1+hwOGhsbKSmpoaioiLAU1NZSPQ7FhdgqSLFsaG4vAq5Sk1dowW5n5bysjKazE10S0vhi88+YflPS9EFBnLD9Dvp1LkrUcZg6i0OOnXryZ5/ttE9ox91FjsJoVoqGq3InM1017kpbvYn6eyzkdvqqXdrUGiCCNYHUmdx8E/xXuRKP3pfcBkA4zt7bib1Gk8yXn61mbNGjmdruYmYzumU5ezGabczdthQUaTKVH7UWx106TUA70q+QvKfEP0Fj5gVvpcV5aUAKP3UbCyoFSPZ3st7ot6e5RftKef2wUnUWeytBLNAiSKI0ZNuprqilL9+X8Ztd9xFVFwiBdm7SenUmcyBAxgwYAAhISHcdNNNjL1wHBdNnEBQUGvv9eFiMBiIj49n69atDBgwoNU0g8EAwPTp01mxYgVPPfUUQ4cOxeVy8fvvv+NyuZg1a5Y4n8SxITw8nJKSEkpKSo6ZdeZE4HK5yM7OJjY2Fn9//44ezilLeXk5o8+K5dk3v+D1p9rful5iP5IwPsVxOp2YTKbTwlt8LFAqlT4XZbfbjdlsprGxUUzmk8vlaLVaAgICjrgRypl4E3KseO/Tbzj7rAweeeQRhg4dxtnDz6Wuro4Xnnsas9nMG2/PITg4GJ1Ox5TrbqBXRm/8/Pyo+6++cJ+hoynI3kN5YQ5/bfmbhFA9QchocimIDAvj3wYnLpkStb/Gy1vsx/O/ZeN22BmR2YdonYaSRotY+7jOsr/bnRAB1gWHMbZ3F0oqalCaq0AbhdvtQpfQnXqrk4ToCDYW1BKt04jCtX98MPnVap8osjCGgrwcevYfgsqvtd85WqchzaijzmJneJKRBVs8N3VCSTlhHS2j0wLOgBCih1+Mf3I6daX5DO87DI3bzsatW/n0s88xRngqUqxft5aKigrik9O4eNzoo75RHDZsGEuWLKFLly40Nja22dREJpMxcuRIMjIyWLp0KW63m7feeuuwk/Qk2k90dDQFBQWUl5cf0xrWxwu3201OTg4REREdVvf7dOGlud8zND2SXikh7aqII9EaSRif4pSXlxMeHi4JtQMgk8lEASxcIJxOJ2azWayj7HA4xMoYWq0WjUaDv79/mz8oDodD8r0dBTklNfy88CsqSotJ69qdtWvX4Ha7CTWGExikx+F0Ultby3mjx+BwOFi88DvWrfmT8ZdMwt5sxWG3o/eXMfry69jw92bWlstIS4snOMAPk9mOU6UiPdIjTEsaLZQ0WojWaXh7Xb5nADI5w5OMgG9kF8BktvsIz2idxmNBCPKjtraB13/Zi9tpx9G4fx7BxiH8XWextymK86vN3PbE66TFhlFQYxG35y2OhWS/vZWNPmMS2lJ7z+uN0K2vpNFCSHwq5/bvJ04blDmEqjozv2/aiCOuGl18F9INZv784w/++P1Xzhk5mmCdH2q1mtTUVCIjI9v5SXoYMWIEGzZsYOrUqeh0Opqbm5kyZQojRoxoNW9YWJjUxOMEEhcXR15eHlVVVSf1I3W3201BQQF6vV56enCUuN1ueqWG8E9eLd0TPS3hjUZjRw/rlEMSxqcwTqeT+vr6Y1qf9ExAoVD4JPSB5zGexWLBbDZTVVWF1WrF7XajUCjw9/cXxbLD4ZAS746Q8vr9Udmcff8y+bqb2bfnX5xOBz17plNbU4OfnwqFDJYtXkhRQT69+/RhX1YWeQVF9OjZE6VShb3GgkYTQUW1nrgQf37cW0G8Qc3wJKPYtS4jwtDKflC9+RdGXzhWtEwI1gdATIITyPjPHwywa89evs510FxbhsI/gAevHAsgRpm9LRGCqBVrKnuJ2efWVcG2Kl66sCv51eZ2HbOt5SaGJ3laVQvrzogwYNCqWJlbKY69JYKYBliaUwMhKRhCPGWvunRPRWMwkptXyKpNm3C7XPi77ZiqP+Wxp14gMbL9/nk/Pz8ef/xx7HY7fn5+ZGdn8+qrr+J2u6Xyax2MTCYjMTGR7Oxs8UnayUhJSQkqlUoScMeAmpoagrR+fP/nLmLCAigtLZWO6xEgCeNTmLKyMiIjI6Vo8TFALpeLkWVvnE4nFosFq9VKTU0NNTU1ADQ2NqJSqfD390etVuPv74+fnx9KpVL6PNrA5XJhb7axY8smEhISCAgIYMPqFVx51TUYw4KpqqwgISkFR7OVFb/8wqpVvzNh0nXs+3cbO7Ztw1TXSO8+fdFrVRTUWAgPUJOZrKfA5BGzBSabKAS9xajwd1yIP/QZhZ+/ppWgFUSkEF1OM+rEdZnMdooUBuz1e5D7aUjr2oX0OD0F1WaxQYiwDWEZYR16jef9Ooud51ZkiWNauKuECd2iW9kkhCoYAPEGtbhvQiRZiHAL4/UW9i1vAgShv2hPuc/74ztHYEOFvwIckSn0HOuxYGVEGPjl6/f56tMPeeDeOw/rs5XJZGKiVEpKCvfddx9PP/00GRkZJ3Wk8kxAJpORnJxMVlaWGBA4mSgvL8fpdLbqoChxZJSUlFBvbmZfUR3bsqoxWzeTnp7e0cM65ZCE8SmKkGQWHR196JkljhihyoXge3O5XERERKBWq7Hb7dhsNmw2G7W1tTQ3N+NwOMRllUolfn5++Pn5oVKpxP+VSuVp4/tyu90e0Wu3Y7fbaW5uFo+L3W7H6XQCngt0nQ32/ruDAeeMITw2iY/eeJYeZ50DMgeffrKAhoYGdLpAepx1NokDzqV7Rj9GjBjJD4uXYGlq9AhHi8pHGEbrNKwvMlFYYwU8ArGiyUaaUSeKzJW5lRTWWKnZvgpz2DDA6BNRFcStd5RYwOV0Isv6C01EBgC3D05ie2GduBwgCmDvyK0gZgEfUZyZ7InGLtxVIgrblkl4aUYd/eODeXNtrs/73kK4reW8o9RCNFkg3qAWI80AlW4d0XITTl2EuJ6rp1zPs088xJff/cgVF49rdSzaS1JSEiNGjODtt9/m0UcflZrhdDByuZyUlBT27dtHfHz8AVuwn2iqqqowm80kJiZ29FBOG375YxP5ZY243bAlq5qzM6JobGyUfNuHifSLdYpSWloqRYs7AKEihRAl8/PzazMK43a7cTgcNDc3i2KxqakJu92Ow+HA7XaL88lknu5nwj+FQtHmP7lcLv6TyWTH5LMXhK3wz+l0iv97/3M4HOI/oSmHsA8KhQKVSiWKf41Gg16vx8/Pz8ePvXH7Xnbu3MGYK25gze8/468NoKwgi+0lRZx34cV8+/lH2B12dL3ORgf8VW5mQqiB3oPOEdfRVlRYwKBVif7eNKOOlbmVYtQ1LsQfd4+h+AcEiuto6SdOM+rYW9noE30ND1Az7qLL+PPTlTgsjYCnTJp37WFhLAatioTQ/aLDZLbv9za3g4RQLXqtijqzXbRaFJhs4t/C+FruvyDMBVqK4paYzHbcSjUyt5swL229s8rG2ZffzM+fv0OnxBj69OnT7rG3ZNKkSTz33HP88MMPXHrppUe8Holjg0KhICUlhaysLJKSkjq86kNtba3Y1U66hh0bmpqaiAvX8cNqz2/Oztxamh0uSkpKSEtL6+DRnVpIwvgUxG63Yzabpf7xHYAgZA+FTCYTxWJLe0Zb6/QWnoIYtdvtWK1WUay2/HckY2trHm/BLQhwb0EuCFzvaPfhXsz+yS5mzhsvYTGb+XPFMlYt/xG5TM6yRd8RHBzMgCHniDWNM2P1rCnyRGUX7ioRk+XAN0rblrdWoKU4nNI7lgWLf8JUFoYhNdInwQ08iXjhAWoxmU6wVQDc8uJcApPSCYz01OD1FqUljRZW5laK0Vjv6hbeAvvREamtBLm33QI8los6i10cu7edQkCI7np7ogWBnhFhOGDVCvAIb28biU4fS2NtBYaIeHFswRExnD3mUt58+x3SOnfh1mk3HVFpN6VSyQUXXMDSpUslYXySoFKpSElJITs7m5SUlA6rE1xfX09lZSWpqamSKD6GlJSU4HC62JHjqefebHfxb14tWUUreeJ+SRgfDpIwPgUpKSkhOjpa+lE5wTidzuNSkcJbRJ+u/LL8JwKD9Fxzw3Tmv/MGCoWC2x9+ljV/rmLTqp9QKRVEx8aTk7WXVUu/Y+SESaJAXJlbyYRuHsuQYFGos9h9EtKEaS2JN+wXksb4VOQKz0+eIIJhv1DdWm4Sy7gJLNxdhqHzAJzNFl66sKvPusMD1OK8W8tNFJhsTOkd2+5IsbegFsbY0iscb1CL1hCh1rIwb0u8RbEgkuMNalHgCx5mg1YlHkeb3YWj2QooCA9QkxCqJU87gFKnkn2rfuSLbxZy8/XXHHJf2iI5OZnc3FypZNRJhJ+fH4mJieTk5JCamnrCbS4NDQ2UlpaSmpoqnRPHmI+/+w2ZTIa12Sm+tzWrhqtHpfg04ZE4NNKZeYrR3NyMzWY76ZIozgSkVtBHxr+5Jaz9/WfOvfASSiur8PfXkJTaBZnGgNpfg8PhwN9Pib25GYCVv/5EWXGhzzoW7ioRBfHeykb2Vjb6iMO4EH8W7iohI8Igeo8FhicZqWiyYa6rxVxfi16jEgViywjr+iKPwC0w2fh6exk716ykIXc7z1x+trh9wZMs2CaE+QEWbClqJYovS48UlxG8zC39wt6iPlqn8YmSlzRaxEoawj+DViUKe2F/MyIM4rpb2kG8/cgmL6uGKshIwX+NcITjvK2ijpC4FLqedxl//LlS9Il7s3btWp555hl27drVappAaGio2MJd4uRBo9EQGxtLdnZ2m5/t8aKxsZGSkhJSU1OlkpfHGLvdTtcEA1v2Vfu8vzWrGqVCTnl5+QGWlGgLKWJ8iiFEiyVOPJIwPjweffxJrBYLScmdAFjx4zdUVVWg1QYQavS0YbY0eURTs8NJUWE+gfoQrph6L2p9GMN1ah9LxMrcSh/BKCBYDgpMNjIifL24gFhxIjQ2kbxtf1FnsaPXqMQW0gLetgUhmc/QbRAXhDRSXVlOqNFTBzshVMvCXSU+2/emsMZKXIi/GK31FqVC1FcQri0jxN72igndosXteI81PEAtWkm8K2sI+yq8Fx6gbrNOsrBdYdtmu5PS0grsct+IUqAxGpW/lvk//snUicN9ppWVlbFjxw5MJhOzZs2iLWQyGRERERQXF0st1E8ydDodkZGR5OTkkJKSctyjt01NTRQVFUmi+DhRXl6OUiFvJYyr623klzeyZv5CqQveYSAJ41MIIdNfyjDtGCwWi1R+qp28+8HH7Nu9iy7de/LH78vp3LU7FrMZbUAgKZ27MWq8x3caFxvHBsDcUI9Wq6X7kPNIjIsRxeHQCD/0hmAW7SpBrlCI9gOhgcfwJGOrFszeiXFCPWNBoNYYo1r5i8EjigUhu77IJFaPyIgw0GyzUrJvK6HGCExme5vJbUJFC6E82u2Dk3zEs2D7EMbVUuB7R78F8dqWXcJbOHuLXu+ItCCATeb90W1vUZwQqvUZj0IZhN5uoka9/9wenmREr1EhP+ssXNWtbSEXX3wxI0aM8BE5DoeDoqIiwsLCxN+oHj16sH37drp169ZqHRIdi16vx+l0kpeXR1JS0nGz5pnNZgoLCzvEunGm8NLc70mKCqSqztpq2tZ91YzoGy1Zmg4D6Sw9AewubeTPlb+Rt/cfunTrQe+BQ+gRF3zY65GixR2L1Wrt8GzuU4GCiga2bvkbgKun3kN+UQnvvTwDcON2u9m8/k96dO9B/0FD6H1WJr3PyuTfHZtJTOtGSq+z2FvZSHiAmvQ4PWv+2ElS13Qat6wgqN95gK+X1rvyxMBYg5g8521VECKo5Y1Wiv7dSo803/bp3qJYEK6CkDZoVZis9YTFJLYpiAUBKYhOIVp8qAYeQvS7pa/Yu4ycYLsQ9leIFHvTVh1l7/cqmmytpsf/l4SXZvSI15JGC06ZHJXLhl3uOQ7CvHa5P/U1pW3ug8Viobm5GY1Gw99//82HH34oNh0KCwtj6tSpDBo0iFdeeYVzzjnnlGhNfKYREhKCw+GgsLDwuNQStlgsFBQUkJKSIoni44TQ7W7V1rI2p2/ZV82EIQlSF7zDQDpTjyMlJSWEhIRgqqnml+8/ISImgXV//sZvPy3i5rsfZVCPxHavS6hOcKgKBxLHD7fbLd1xt4MlC7/B0tRIj979MWj92F68D7lCzqU33E3uP5vYsPp3mpoaRUtDncVOeGwKI4yR+AXpRKH4xbeLMMZ3wi73p8vwCWz8bQl9zh5N10h9q/bN8QZ1q7q+3q/zK6qoKi1ixAUTfeYR/LyCQPW2UwiR1nyLnS2F1RgiYnyWndAt2tNwpNosjicuZP+Nk3ddZEHQCoJdqGbhPY7wALWPUE4I1Yr1mttqAgL7I+QtEwkzIgykx+n5dXcFeysb6R8fLM5X5yWg04w6j/WkTIW+qYIQL/FqMttpqKtFrdu/HwI5OTk88sgjGAwGGhoaCA4O5oYbbqBPnz64XC6+++47XnjhBbHk21tvvcUzzzzTaj0SHU94eDjFxcXHPPBisVjIy8sjJSXltE4s7miqq6sJ0vqxNau6zem5pQ2YGpspKSmRhHE7kYTxceCdj79l99YNlBbmYoyK5ZUXniMiJp7y4nySOvcgOj6Zv9atPixhLEWLOxan0ymJ4jaoqanhf7PfZejZwxkx9CwAmhobGT3uIjIGnUN1g4X6RjP+an/2lFdjThvByAFjGP5f5zch0ipXqbE3eXy0aUYduYUlZPQfiE6twKX0eHJ7nDWM7JJS3G4X0Xodw5OMrMytFJtXAKKdwDvqajLbCdP4ERAZgcuvtYBu6dcVECwXWVX1mMqLMUTEtPIMC6LYO+orVKbwFrB1Fl8/sLf9wxuDViVaQRbusjChW7TP/ngjvFfSaGm1vq3lJlEkR+s0PraOttYTHhSAXBGAv6yZvEZPfeo0ow5LXQ0JPTNaLbNnzx6GDBnCrbfeSm1tLQaDQfx+KBQK+vbty9dff01qaiomk4ndu3dLT1xOYqKjoykoKKCysvKYiCeLxUJ+fj6pqamSKD7OlJaWUm9uJqu4vs3pbvivC94WevXqdWIHd4oiCeNjTF1dHb//+CUAfYeMJPvf7cz//AfKiwswhBrJ3bOTc8ZdQWHOnnav02q14na7T5qORWciVqtVSrxrgy+++YGsPTtxu+yiMI6NiaKirJQ/f13Kzwu/QuWnRi6XY3TWkw8+rY7zq81iJNPRbKWkMI+9VSWsWLaIy268C79mE0GxXTwWCaBu9y7y5HKUytYVJQxaFXv/3Umgxg+lJpCQsP0X+D07t5CU1o3U/+wDgqhMCNWysaCWkkaLT7TYO4FPo9MTkdSZ9LBAQgL9xejvgcSmEAlu2UnPWygLot57e22JX6HShhC9FvCuRyzYRwRaimTv10K95rbG5fQLp7KkADSeqPHeykZqa6pI7xTXalw2mw2NRoNMJiMkJKTV9OTkZObOnUtwcDDjx4/HbDZLovgkRiaTER8fT05ODkqlkuDgw7f6CQiRYkkUnxi8u90dCKkL3uEhCeNjxFc/ryUgUM/aX38EYODYSYTFJGJurMfpcBAcFsGgEReSkNYN3G7W/rKo3VHg4uJiKVrcwUgVKVqzO6+Mv9b+SUJiMvEJnuYXDoeDRT98R2rnruSu+YNxEy7il59/Yvjo8Zw1bATuojoKTLY2RaW/04m82UpKzwGkpJ/FqlUrSOnRhyD2i7eYzulUFeawvjCH+B59AcTyZC6nk+jYBJrsbnL/3UJ8dATfffUpI8dfRr9+/dDpAkXrhlBqrc5iF4WjUF1CELTeAjI40M2mtb8zYOjIA3aWa9mMQ6iL7L0ub/GbEWEQk/X2VjaKnl/v+sjeCGJYqGwh3FgA9I/fL2Tyq9Us2lPeqlqG4KFuWQkDPMdXoVQhU/oRqnRQ7fBcGqqrKtqMIDocjkOKHm9xJd3Un/zIZDKSkpLIyspCqVQeUUlQSRSfWFp2uzsQUhe8w0N6NnyUrN5dTlFREd+89zofvf4U+ft2oVL7k94zgy4pKezZ/jdrf/0RU3Ulvyz8nHqnnIBAPdGp3fnhlzWHXL/F4rlASqKsY7FYLFLEqwULv/mcpNQuFBbkce6552B1gLnZRWJyKrv/2UFySgqVFeWcN3YCYy8cT1iQxx/fUrCBJ5Kp1gYSFB7D6hVLUCgU9O87gKpmN59/97UYvc2IMBAam0RITCKp8kbiHdVonVbUzU1UVZSSvfdf1P4aDGl9KW1wMvriq6irrWXfvzupt7nI/8/6sHBXCQt3lbTy+Qqi2Ds6m2bUYQyPpGt6P9b+tY4QhRu7zdKqXnK8QU28QS1WnBBsFy3LpsF+oS8ci5JGi1ib2XveaJ3G5/Xeykbyq83ovdpQG7Qq8bXQ+AT2C3WhOUpbYltIzhMqWPgFhmFv8HgVbRYzdputzYhwTU3NEXXEkzi5kcvlpKSkUFxcjNl88ATSlpjNZsk+cYJp2e3uQAhd8D5fuLLd637iiSeQyWTk5eUBsGXLFgYMGIBarSYpKYkFCxb4zP/pp5+SkpKCWq2mX79+bNq0SZzmdrt58MEHMRqNaLVaJkyYQGXlwVvXdySSMD5CcstM3PPgY/zv8dt5+JFHCY+OQ+WnptlmRR8cikLp+WG49fFXSUzrgdvtQqn2JyJQS0WTDWNcMmXFh+6OVVJSQkxMzCHnkzi+SFaK/cyZ/yFvzHmfbZs30Sktjei4JKKioqkz2/Hz8+PxJ5/m+Rdf4f+m30VZeQVm/1A2FtT61OIVmlF4ly1rcMmJDw1gcOYQAAL1BuKCg0juPZiNf//FltIaDFoVMpkMt9uJU6lFow0gJNCfnJ0bCY+KpVffAT4R0X1VTSh1IfQd6FmnkKzWssEGeASwIDQBnyYeeo2KKGMwXVJSkDVU0yvATs3OP8mvbn1B0mtUTOgWTf/4YJ/1CdHiiiab+HfLKHNLvKPWws1BRZON7YV14rb0Gk8CoDeC4G5r/f3jg0kz6nwafwhjlCmUyFVqQhUOTDk7SUzt3Gbd2V27dtG1a9dW70uc+igUClJSUsjPz8dmO/j5KdDY2ChWn5BE8Ynj4+9+Y3dBnU+3uwOxNauGtDg9zf81UjoY2dnZvPzyy+Lr5uZmxo8fT9++fdm2bRv3338/119/Pdu2bQNgx44d/N///R8PPPAA27Zto0+fPkyYMAGr1VM+7p133uHDDz/k888/Z+3atZSVlTF16tQj3OvjjySMjxCb1UpR7l6GjBiNzWrBT61h5EVXA1BVVkxpQQ4Aao2WvL07AUgdOlZMUHEbIijI3ovD4TjgNsxmMzKZTIpUngRINSA9/LlhK78tX8qa337C4bDTZG2mpDCXHdu38dmH71JSXAxAbFw8arU/1ZUVaIMMrdaztdwkijEhSutW+FHX0MjundvE+cID1FzerxNKP3/sNiufLV8JQGBIOPrgEKJi4miWqYnpMxzwtSq09CB7411PWPjXcnlAjDDnV5tRKpUkx8fQs3tX/ELj0Sb3IUThpqGmwkfgbyyoJb/aLNYSFjr1AWJiXUWTTbRReO9ry0S7reUmVuZWtkoO3FpuYuGuEp+bjTfX5rJgSxELthQxpV+C+L7gU/Z+LSCIdO9tmuSB2Bur2PbXH0y8cHSrY5ednU1dXR0pKSkHPL4SpzYqlYrk5GRycnIOeo0CT5tnoXmHJIpPHAfqdncghC54ZWVtl3Xz5o477uDyyy8XX69atYra2lpee+01unTpwi233MKQIUP4/PPPAfjiiy8YNmwYU6dOpUuXLrz22mvU1taycuVKwBNNvv322xk5ciQZGRm8+OKL/PjjjzQ2tq4pfzIgXemPkC6JkbzxxhtsWvsHndP7k9KtF937DOLeF+Yx5fG3SO2eIV74r3xoFufe9QIRaemA5wLYPSoMc4OJxb+tO+A2pEoUJwcul+u4Fb8/lVj7904++/BdAvUGhp4zkuCQUBob6ohPSOblF54jO2sP/3vjNdxuN3VmO3/8thx9cAidEhJ82hcLCILRoFURrdMQFhiIqaaKoWf1IT3O02CjosnjR45ISkOuUKANCiZv+0b2FVXwxfqdfLR5f+toIVLcVpUGQfgJUVIhYi007BD+VTTZ2FvZ6CM4vbvECRUsAPy1ATjsdtL0GupMtW1GoQUhXNJoEZuSFJhsrC8yUVhjpbDGysBYg9iIBPbXL47WacSOfsJviVBeTRDinuoVJSzYUuSz3Wd/3Sv+LSTvebMyt1IcTyvPsVxBYUkZaqWc/v37+0xyuVy8//77XH755VJd2tMctVpNfHz8QVtH19XVUVJSQqdOnaTz4QRzoG53B0Logvfqe4sOOt8PP/zArl27eOihh8T3du3aRadOnXyCdOnp6ezevVuc3rNnT3FaQEAAqampB5yenp6Ow+EgKyurXWM/0Uhn8lEQFRXF8PPH8cvibynJz2Lnlg1ERsWgCgrBX6tjcOZw5AoFMcFBqP7LvBcuQo21npM5o1e6zzpdLhd1dXX4+fmhUCikaPFJgFRmCurr6/nfy8+hDQjgkmtuJiY+kT9//5WkhEQcVo8IvWTSNXz+0bss/nkF2zatpyB3Hzfd9SjBAX4+whRai9fwADVutxsFTuqamltZAwCUfmquPacfX/wVQHmzkuqsHWgMYbw+712Szx4v2ge8G3W0FYUVaCsJraTRIgpcwX/cUvB6L9c5MR69RsniRd/Tb/A5pIcFIlcoSPiviUZbvl5hnELbae+KFEJkWRDwQrtrn4hui30R7BJtebcn/FcWz2S2M6FbtI/gb9kxUNiuylLHrz9+zbhLr/KxUTidTt577z0cDgfnnXdeq21JnH4EBAQQFRXVZutok8lERUWF1Oa5gzhYt7sDcagueBaLhbvuuovXX3/d55pXX1/fqq17cHAwO3fuPOj0+vr6NqcLibnC9JMNSRgfJf935cWMHj4Il8vFul2FVJWVYGmoZtvvKynYsZGRF11NeHScKIqLTA1EB2pRqlSo/NTEhOzP1nY4HDz6xNPk7tvNldfdzJgRQztwzyQEpIoUsHLlSqLjEoiKjUft709ufiFyhQK3Us2mvzxJpLFxiTgcThZ+uYARYyZy9rgrURvCRCGXZtTxy88/0TfzHCr3bqVP7z7kFRYTHrA/Wupns6Py31+DGBC/OyWNFjYW1DIo1WMTMPSbxMrcStxDxvLP+tVkRyTy+tVDfQSpd2UI73UJFSCE7Xp3mOsfH0x+tVlcR0mjhSn9Eij4zx7hvS7wZPNPnnQF69f8SVhsIiHhka063wlNRIQxAWQm61mTU+dTkULYz/AANVvLTT4eYe/IdcsxC0zpl8D2wjrxZsB7HPnVZh8R3rKMG0Cwn4wfP51Dn8EjGNCjE3V1dRgMBgAWL15Mbm4uM2bMkITQGURQUBAOh8OndXRVVRUmk4nU1FTJYtZBxBoDyGlUo+oyoN3L5Mrk6DQqrFZrm5VinnvuObp27crEiRPFpDugzScGMpkMl8vVrunC/97T2nr/ZEESxkeJTCYT7Q6XxcaK72/NmciWv1bz9fzXuPH+Z6lzKQgPULN+yRf89vdq1JoArrhumo8n693PF9JsdzDh8snUVJSgVqtxuVw0NjZSY3ZTXphNTGwcsVFS95oTicViEcXBmYoxuSf8uZasPf+wae0qFEolSqUSPz+POLzjvkd59+1Z+Pn5MeTsEXQ761zszTay/92GXK4gqXMPTGY7SWndqGiyUepU8UduOXWVVdSZalD5qcHtxqBV8vf2nQwI9iSctoz2ljRafMTd8CQjpgg7hVXpuN0u7l/0D7dlJvmIRsG+4B1R9RbrLatG5FebSQjViiIVECPY3mMREvPAUw1CF5WCzS0Tx90y4txWhBrg6+1lPDoiVRyrMK9gpQDaLL8G+ytOvLk2lwKTjQWb8pnSL4G6/3zDLbfpHRn2PqbROg1F9Y189dn7BAQZuPW6y3G5XGRlZaHX65HJZOTm5jJixAipDuoZSEhICHa7naKiIvz8/DCbzaSkpEgWsw6kT7d48v8+vMoOroPUOt63bx//+9//+Pvvv1tNk8vlrUSs2+0W7TOHmu4tkoVpwElrvzk5R3WKs7fcjDZAR+a5o9m0fjU/fjqXzPMnQkASoVGefvSXTr6B8SMzxWVcLhfb16/knPFXobDXk7WvApfLxRPPzGTPP9uQyWRExcRhtZh5Z/bb7f5BstvtuN1u/Pz8jseunhFIFSlgUI8kkmc8Q53FTrPNxm9Lv6exrpq+fXoju+VeNm7aQHBIGKlp3fhp8ff8suxHnM79STvjpz9Gp4R4Nq5ewQWXTKYsLhmA8IRUrIAVqMzPoldINEnpngiIt+cW9ovGlbmVoiAUIrhDOxtZsuQndAnd+d/vuxjWLZrhSUb2VjbuF7f/+XXbah/tjXfXuLYQ1rexAB9R3VBXS63NgVnuT//4YB9LB+yPVkfrNCjNtfy58S9s//6Lu9nMiyttKAOD6XvZNHH+NKOuVeMRAaEUnNBWW6DAZOPZX/cypXesz/zCONryQQPo3M1s+fZdXE4nzz37OHK5HLlcTmBgICaTieDgYOrq6qQSbWcw4eHh7Ny5E7lcTrdu3SRRfJrx6quv0tTURO/evYH94rV79+488sgj1Nb6VuAROl4CBAYGHtZ04e+TNeAkPQM5DqRFaEmL0BKoVjDmihvAz5/vPnwLg1aFRu65a5owaggWi4XVq1dTVVXFmjVrUCgUdE1LQeXnT2V5GevWraOutoYnXp3HXc/NZvoDT2GxWPj333956LEnmP3R1wdMigD46vvFXH311UyePJl7H5px0vp5TnacTqf06BioqK1n9YplfDLvdTas/p3U7r2pabCw8qcfWbfyF3r0Hcxfa/8EQKc34B8QSHLXdCZNe4BOCfEEB/hxyRVX+azTu5qDMSGVaoeMrMpaURR7lzbzZuGuElEUJ4RqyYgwMHbsaFyOZswl2azJqcNktouJauM7R/juy3/rF9ZtMtvJiDCI4rmtMeo1KjEpsE2B2VSFMTpefJlm1Inzee9DcX0T778yg32rFuOqyEbmH8iIMROoLcymq9pGRoRBFO4tu+cJSYPeDUPyq82thPCCLUUs2lPuI8yjdRqfRiDgufhV5fzLx/97ls5JibzzyvM+EeHIyEjKy8txOBzk5OSQlJTUer8lTnvcbjcFBQWEhoai0Wioqanp6CFJHGOeeuop9uzZw9atW9m6dStLly4FYOnSpaSmprJv3z4fDbF9+3a6d+8OQLdu3XwizU1NTWRnZx9w+vbt21Gr1SdtZRspYnyYmEwmZs+djzYomBuvuaLNx4pVVVW8Med9cvf8A4DK35+4pE6YzHbWLF9I5/R+/LByM999+CZyuZxQYwRlZaX0HHs15roqtGEx1FaV8+V3i+gz9DxUKj9CVZ6LoE4fzMJFP2K2WNmzfRPPvpjLE488AHhqDcpkMtGesfnvjVx41c0kd03n83mv8tMfG7j8wpEn7mCdBrjdbikyAuwubeTLD97B4XCQmNqFlM7d+WbBPH5QfUhkTCw33vUIi7/9nMxzz6c5PgNXeS7aQD3NQeFUAX5mz7n5+9If6DzYk7gliD7v9sj5DW4iZQ7x8b6QpCfUPF6ZWykK1wVbihjfOQK9RiVWcsg4vy+v/6qidscfGEZc32o/hIQ3oXGGd23hA7Eyt5LhSUbqLHax1FlJo4XhSUaxk57JbEcXGkHOf+MWvL0t6wSLy972DGEqOXpnA4u//gSX08X4K6Yw/42Z9BkyEn1cJ2wWM/7uZpptAVgqCynWKKgvj6ZndDj/7NpBRkZfdF6l8Kb0jhWPY4HJhr3RxLZdu9lUV4VGZiffX01dWhoFdhUauxlLeT67du1ELlcwYuylTJnY+rdBoVAQFBTEH3/8QVRUFGFhYQc/USROO1wuF7m5uQQGBhIeHo7b7SYrKwuVSiU9QTiNCA8PJzw8XHwt2BwSEhIYOHAgYWFh3H777Tz88MP8/vvvrF27lnfeeQeAK6+8kpdffpnXX3+dCy64gFmzZmE0GhkyxFM//uqrr2bGjBkMGTKEmJgYHnzwQS6++OKT9kmsJIwPkw0bNlBdU4Pd6eLGG29CHxyCQqFg0JBhBEfE0qVTKlu2bWfP9k1ce9cThEXG+AirXgPPZu+OzSz8+B36nX8pjW4FW394n05nX0hETDwKpYzsBiWakAiaGupIS+8rXnwB5H7+ZOfkMGDIOXTpdzZvP303DoeDJb+v57tP3yPUGMGsl2bidrspKS5i2IUxmOwQndyVvbt3gySMDwubzYZafeDH7qczP63+m80b/8Jfq8Nhb8ZkquW8S6bw+Tsvolb7M/z8cUTGxNO5RwZLF35DWWEuYWMmUKZUEts53SdpTohcduvVH2OghmiDwkcsirWMw/XsytpD9n+R24GxBp+SYp759ielCfWQhUYXdRY7cqUfQWn9AIgP1Yr+4HiD2qcShHcFCPAIVqEKREsbRMs20BkRBtHCYDLbKcjeS0lNLf7xQWLyHCCOTRDP4BslBxgy8gKWfPMpA4acy0233s2vv/7KP3+vo7HeRFxiCqWFeSQkdyK/rAxzTQV7QsJQ6/T8/cv3hETGEd81gyhjGI31JpqbTJhqamisqqC8rBRNTCesmjAiIqMIkLnI2r2TwrJy1AFB9OnRnSsuupDExMSDJlCFhISQlZXFpEmTpJvEMwyn00l2djZGo1GsJCCTyUhOTmbfvn0olUqp3fcZgFqtZuHChUybNo1evXoRExPDRx99JDb5SU9P58MPP2TGjBk8+OCD9OrVix9++EEM0t1yyy3k5+czZcoUzGYzo0eP5q233urIXTookjA+Auw2G3GJKcQnpaLVBVJZVsL6tatpqDOhUvvTOb0fkbGJ/PT1B8QmpaHSh5HWdwjhAWrKCvMwVVfQZcRF+Cf1QO12k3nDw2j0IQTaqihzRSGT2ek36RbSw4JQKn0vqt279eC3ZT9Q3KxgeKget8vFw489SXVVBYPGT+avZV9x5R2PoLTVow8x4tAGIwdC9YFU1Fd07IE7BTlTK1Ls27ePBe+8Rq+BZ7N+xWKCgkNxOZ18Pf81Roy/khsnjQNg+dqtvPL4Pdj+K9n252/LmXjtrahUfh5RnJeF2l+DReOJLJUW5dO/ZxoFNRbxnBYEsiCiQ9UKaFHlTBDX0TqNWOFh0Z5yCkw2VuZW+lgO7PWVuP/LMqnzsjBkRBhYk1NHYY2VBVuKiDeoW1kivG0UGREGEkK1LNxV0obP1+Qj7NUR8aj899sUhHJtgPj99fZMC97nNTl1QAQRF9zI5s0rWLN6Jfq0vgw59zzOO280kfr9uQF2u5235n1IaEgw10y6BKvVyt9//80vf6xnW84udEEGwo1GMgf0xmg0kpaWdkzKDK5fvx673U58fPyhZ5Y4bWhubiYnJ4fY2NhWT0aF7nhZWVkkJyefscGD05nExETRZwzQt29fNm7ceMD5J0+ezOTJk9ucJpfLefnll3266Z3MSML4MBk6dChZRRVUVZZjb7axe+c2ho+9jDseeQ6Abdu2s3fH31SVl+CwN1NeXEB8l16k9fU8UqipLCOqe39iew0GPHffGn0IPQ1+FFQoQK4E7MjlCsL0+9vRClT9d3ENCPY8Vg7JGI7JZuGaO6bSJFejCw5j2ZpNhEdHc3FmX/z8PFG76rp6TE0Wlq/dSll+Fr//+hNNDfWMu/hyrpl06Qk8gqcWFovljMvC/3tvCS8+9ijRCSlUl5cSn9yJCyZOIjcvj9FDehP7X/WV739exfeffcCESdchD0/m8xfvI3/fLv75dxfRKV0J8ZPTFGKkwtrMv7/9SNIFFxIdEUa91ZOU5+0j9m5PrHT7keCnZHVuI4U1ni5Nmckeb6+3tUKI7nr+lYs+Yn9jPA05W/locyF3ZCb7fH/iQvx97BTgEareVSA8jTc8lSLqLPYDtm32jiJv/eV7ep5zIYBPFz1h37yT+cID1GKDD4EKVxBkXIS8YDt1deUs/vEH4mNjkHVPJyLIM36VSsXdt94kLqPRaBgyZIj4uPJ44e/vT1VVFRUVFQQHB0tR4zMAi8Uilmc70M2V0B0vNzeX1NTUk7bCgITE4SKdyYeJRqPhluv33xVlZWXx0qzXyd2zk3GXTCIxrRuJad24YMLFfPHDQgCGjBoPeATARXc+Q2mT74W5pNGC3FpLgCHcZ1veF3ThIttQWwVA0H/VLcL6jCTeoCYgMIgAIDwgkV9KZVSDWEoLoMuAs1nx7Yd88ekHKF0Omho8JvqS0kO3hzyTsVgsPr6r052ysjJeefI+AErys+k7ZCQjRo+lX1oMDNzfuei3bfks/uZzrBYz+QUF6IKTUOv02BrrSO+RjlwuZ9Oa30hK605AuBH1qIuoczjoFhfj0+yjpdUCQOcAldxBZrJeFKqeyOp+hNcvXdiVN9fmAh5bxZR+CTyqTWVGZSG43eRXm8XIbsskPqF2sPff4QFq3l6XDyBGlQUBGxfiEQhtlU3rMXwsCmXb7XBb+pcFkRwX4k+8Qe2zb8p4T8Mfu0LJgndnExWXQGhoKHfcMrXDhEd6ejpvv/02zc3N1NbWEhIS0iHjkDgxNDQ0UFxcTEpKyiGrGanVauLi4sjOzqZTp05STWOJ0wLpLD5KUlNTeeypmQQE6vnf84+xabPnUYNTGcBll17F2RdcQpRe59MMIFqn8RHFKqeNvPpmwgMDfNZdZ7GL/8Bz0Y4bMpazb3kauVzRKpJl0KpYtKcc2H8RF1BrAsiYeD1JZ43Eam7i+ml38NVXX/Hg3bcd+4NyGuFwOM6oSMhXC5fidDhQKJRMnz6dB++42SOKvdhVVMcXc15CuAbm7/UkmQ6d4LlhrK+tYufmvwhJ6oZTaxCXM6HELzCkVaOKaJ1GbIEM4JCpULr3R2ozk/VkJutbndMADyz+16fiRJ3ZznMrsmgq3E1BVRNvrs4W/cfedYfFMZn325SEqhOXpUcCtCnI4w1qhicZmfBfOTiAqAB/Ctf/Ku6HgEGrIjxA3ar7nbBf4ztH+Fg5MpP13DoogcxkPVdecQXXTL+Hbr36sX71KnJKaiira241/hOBVqvluuuuY86cOWRnZ/s8XpU4vaiurqasrIxOnTq1u8RnQEAAkZGR5OTkSOeGxGnBmXPFP47Ehwfy8F3TePFdPTv+/Jn4/xKPvD2I3n/D/sfHJY0WAh31mPxC2FpuIiPCIF5IvTtiCQ0D/DS+4lmIXrVcf8vyVII/c9u/m+me0Y/hg/sdm50/jTkTf+RXr/gJgHnz5hIYGNjmPBtW/4YhOIQb7niIrNx8QowRVFuduAO6MGna/VhUASSkpNGAqpUo9LYftNV5DSAtPJT8shLiDTqf8mnxBjXjO0eIN39CJFeI8ApkJuv5wzaE5tpyHOY66ixdAI/wndI7ludWZAG+EWTv71qaUcetgxLEyO5+e4WVgbGGViXeDFoVmmFDCAuQof0v2S6/2uzTIESgZftm73rKBSYbGREeb3NFk419Th1b1q8H4LH7bkOuUKDRBhCX0oWLx4ykV69eJ8zWMGLECFwuF8uWLaO+vp5zzz1XslScRrjdbkpKSrDb7aSmph72Z6vX67Hb7eTn55OQkCCdGxKnNJIwPka4XC7++WslwXGp4sVOyHqH/UJYQBDOgyO1/FOgxCXbXyfXu0xVmlGHXqNiY0Ftq+ltPdIVxELLjmHCMkmDRrHtu/k8M/Mlnnvq8WN3AE5Dmpubz6jGKMKNwIWXTT6gKN5bbmbXzu106TOYRd9+QbPVwqiLryE84L+fEl0aACsXLWLipCkoKxtZX2QCPOemYB84GItzakmR2ygw+z4RWZNT1yqCK0SRBeFaZ7EzPMnI8CQjH27KY++OHT4RYW+EG9GWVgeT2Y5Bq2JCt2jxaY0gplt+t4XXWqUMl9OF9r/DIIhi7+oWLZ/weAt64bgIYxGW6TrqEgDUAUEMjNKxM7+Uwr07eeuduUTGJvLgXbcc8LM61owaNYqEhARWrVrF1q1bueyyy6SEvNMAl8tFXl4eWq2W6OjoIxa1YWFhNDc3U1paKnaDlZA4FZGE8TGi0eqgubGePoPPpbQwl61ZOYR36olC5RFWLQv1CzSZKkmIjmV7VROwPxFIQHjUe7BOXcJ8B3rt3XErI6I7iroJVOzdegR7eWZxpnW8k8lkfPLJJ4e8GfBX+7H8m49wuVwkpnYWb8KE8zY1RMOEK64RKy8ISXKwX8C2FMhCJ7et5SbiDf4E2RTEq9UHTHwT8E5gg/0CFsDZbEWhDfL5PglPVoRxeG8XEBtgeEeF20NYbDIVZSWs37WF9LOG+ezT/hbW+8vMCQLf27cszA/7hXFyVJQosDXaAPRhkejDIhl7/vks/e5z7rrnXqbfeT/9enRq1ziPFqHSxfr163niiSe48sorOe+8807ItiWOPULjlrCwsGPiHY+KiiI/P5+qqiqp5rXEKYskjI8Rfn5+ZAwazpJ3XxTfkykURHbOAGjVYjZap8FpMxOo8ccvUAv/CWNAzNAXWtMKotq79uqBELLuF+0p97FTCOv7d+9utv76A1f937SDrEUCzsxSbYcSxWkRWi6/aBxfu5yUl5fip9GRW1DE7pomNPoQeoXr2fvvTraW1RGZ0lVcbnznCJ/SZ4IwFapNCIJQ8NwGKf2JDQ4Uz/2KJhvjO6vFvwG+3n7wxFG5yo+mgl1AX/E9vUbF3MvTWbApnzU5dXy9vUwcAyA+mWmrMYc3glgVfMv51WZMiiCiOvdl7YoldBt0XqtItLBvGREG3l6XT1yIP+M7R4i/DS2rV3gvJ4xH+D+/wUb3UZdjCYpk9msv8vhzs0iM1Lda9ngQExNDeno6AwcO5Nlnn8Xf359hw4adkG1LHDuEyhPx8fEEBAQceoF2IJPJSEhIIDs7G5VKhV5/Ys5JCYljiZR8d4zwV4LTZiY+tSvnTbmTi+94it59BrYZKRYukHJrDcFhkZjMdp/EHeFi7J2k522NaBk9Frp4tXURFxKdtpabcLvdbPrqHVxOB+7GSlwu17Ha/dOSM1EYH4ryejt/7cqnoCCfpsZG9u74m/defoyKv34mI8LAT999Rqk2ykcUC/WABZuD9w2bYI8QfMOCz7fY4qSqoVG8OWzp1QW4LD2SWwcliMlyAo+OSGXu5enIZHIMPYbyxaY8YH9t4YJqs0+TDSF6612lwrsVtbcF4+11+aLgFeYX7BYAtXY3w4aPpN5UI35Phc584QFqMiIMbC03+SQSCt/ztm6ehYgztB29ju7eH5XeyOatWymvb190+2hRKBTo9XpsNhuBgYG89dZbZ6Qf/1Smrq6O/Px8UlJSjpkoFhAagJSVldHU1HToBSQkTjIkYXyM+PHn39i2aR0FWf+Ss2kVUcF60as1PMnoaVf7X1vb8AA1oUonARoNTY792evetEzcEy6KaUZdm1El2H/hjAvxZ2CsJynIuxSWTCajz6U3M3jEWBYsWMCGfwuP9WE4rWhubhY795yulNfb2Vtubte8e8vNNDU28sfSb5gy7W5mPPsyvfoPAkAZlUJFk43RYy/E6fBtqiHgXQFCqL4gRGsLa6yi57ak0YJDpsKgdPss31IklzRafEqfeW+noNrMoyNSkSmUmHat4evtZZ6o7n9j0GtUPDoilVsHJQAe/6/JbBetFN7rAo/YFhA80yaz3af5jpBM+0t+HWvW/Al4BPbCXSUs2FLEoj3lbC03+STgtbyZbVmhY2u5qc221WlGT6WbaJ0GbYiRjXtzfAT68SYsLIzff/+d3r178/jjj0vJVqcQ5eXlVFVVkZaWdtxyKORyOcnJyRQUFGCzHdwOJSFxsiEJ4yOgpqaGt2fPoaGhQXyvW5c0tDpPEkzWrq1sW7/SJ9IjXACFslFyaw2NiiAfseDd2lavUYmWCiHitLXc5JPV7x1Rhtb1Ulu2sQUY3qc3O4s9tZC/3S4J40NxJlzwWyaltWRDbh0bcuswme389tuvxKV0ISAsBpNTzciLrwNAp3ATHqCmtKiQFI3nmAlPMmB/VFV4giF43qN1Gh9R+9yKLNbk1OGQq6g3tx1tKjDZRHEKHkHq7Vd+e12++J26fUgKoRkjqNywlLfW5onz1FnsPvtdWGMlPU5PncUu3kwK4xQEtYCwLUG0tnxaI5PJiOw7jI+/+OSAVSmEv/UalShyMyIMpBl1B6x77H0j4O3p1oVF4q6vJi2i/a15S0tLeeWVV3jhhReYPXs2v/76K83N7S8Ht3fvXmpra7ngggvo0aNHu5eT6DiEJDuHw0FycvJxrzmsUqlISkoiNzcXh8NxXLclIXEskTzGR8Dc+R+wZdNfJCbEMWrUKMqrTSxe9ANul5tJ0+4nJtGTCNMyc1240CYGyqixgVPpAmw+j1z1WpXYxlaIFOdXm9t8zOq97pW5lT4X3ZYVMMBzgf1+axa12/8ApZripe/yXbCDi0cPP7YH6DTAbrefEfWLha5qB2NAkp695R5x+OuS79AGBPLNe2/gdjlpaGok6awRBHUdQEWTjW7pvVn/52/Ex6cREmAA9j/9aJlYKohGwVqxaE+5mEz3R56Z/0vzVGrxrhzhOZdNPmXcYL8PX7BFeG8nM1nPaud5yGSyVqLTu7bx1K+2ixFkb1pWeJnQLZqFu0oAz3dqeJIRvUbl4/+XyWR0GTyCqsIcDJGxTOnt6RYo3KwKY99YUOvzXW2ZaCscI+/vv5B3IMzXLT6OzXm7Wo37YLz11lt06tSJTp06UVdXx5o1a/jyyy+54IILOO+88zCbzWzcuJHu3btjtVqxWj2fS2RkJEajEZVKRXl5OZWVlYSEhJwRN5CnMna7nZycHIxG4wlt0OLv709sbKzUAETilOL0v/IfYxobG9m5fQtDR47h2+8X8tFHH6FQKOncfxhjbn6Q2CiP31G4kAlRM+HCWtJoIcjSQLFLi+u/BB7YLx7qWghhb1EgeA69PY5CxMpbFHs/ohW8mwKlVj80Ex8jLsSfOEsxX7w/m0G9OhMVFXUcjtapi+Qv3o9gtQhQuenRN5Mdm1bTuHenOF2hDUImk4mR1m49+mM06KizeKJEwjkqiL62IqIZEQbGd47AoFXx3IosXMjYVlLHWaFxwP7yhuD5ThSY9p/XBSYba3Ly//Ma+5ZzE5ap2bGKbgPPBnxrJpvMdp820YKdwzuK3Za/eXiSsdUTGWG+Cd2i/6tjrKHJWkvX+BDx+7/fGmLyWcY7sXZ/FYvWCN9zYf/jDWps9Q00u2WU19tb3ei43e42q6sYDAYSEhLIzMwEYMyYMezbt49FixYxdepU5HI5sbGxLFq0iKCgIPz9/XG73aJv1N/fn759+xIUFCR1wzvJaWxspLCwkISEBLTa9j9VOFbodDoiIiLIzc0lOTlZuomSOOmRhPFhsmbrXuzNzegNIVx/3zPIFQrkMjlV1rYfFYUHqMWyVQAqp43SZgcuP4U4Xbh4txUZbln/uK0EO++L6MBYg3hhPZAXWciGL67VEKAP5vNvF3HPbVPbfQzOBM60Um0Hw2S2k79vF0u+/YRmcyPR3fszbMhw7OpAalAilyt85reYzXyx4mf6nj1ajBIL57H3+ewtOAWxXNFk49ZBCby9Lh83UNFoJVzn79MtLzxAzcBYQ6v6wN5VKoT634KFw9B1ECX1jlYiNyFUy2Mj05j61Xaf94WqGQfD28YkRJABnzbUFTEpLP75V+I6daVzYoJolzJoVT6/Cyaz3cc7DYh5CcJxaVn6Ttj38n92EhZkaCWKXS4Xzz33HDt27ODxxx/3sTzEx8eTm5vLOeecI77XqVMn7r33XpqamlAoFPj7t+40CB6hVV9fT1RUFC6Xi3379hEcHCwJnpOQyspKTCYTnTp16tAnYAaDgebmZgoLC6Xa1xInPZIwPkzikzsx+eY7+evPFfy69HsyBp7N8BHnk2b0JBF5e/+EDHTwXMDiDWoCHQ2Y/AxixyyT2d6mF1hYvmU1CmH93hd44UI5MNYA+HqLBT9kRoTBJ3pc0WRj3+Y12K0WJo4ZdQyOzOmFxWIhKCioo4fR4WzIrcPpcLD4y/eJ7D6ApIEjkMsVVOI5p0z/nd/Dk4zsrWzE7XZTX1lIZJ9hYgTZO5EMaPPc9U5IE4Rzk1PBsn9KaHQpxMoT3st6N7qJN6hbNf/wToyz1ZQhV6mBCHE9aUadj3WpLTKT9WJ5OfDcVOZXm0kI1Yo3oN7fN0HIen9Pw9IHUlJayDCtDButb4APVqNcENDC/nrvt4BxyCh2/TCfee8v4MbrJouPqxsbG9mxYwehoaEsXrxYFMYFBQUsXryYm2++uc1tHqpKgU6nQ6fz5E8oFAopanwS4nK5KCwsRC6XH1Enu+NBeHg4hYWFlJeXExERcegFJCQ6CEkYHyZdowPpGp3J+JGZ/LF5D78tX8KrTz9Iet+ziErqwubtWwlPSyc0Ic0nAx080eIAfzX+AZ4kPW9fcFvdwLwjbUIELL/a81jb++IoLNvWI18BQRQLFStcLiebln/H+CuuJTk5+RgcmdMLm82GWn3wpipnAg6HnZ+++gBVgJ6Uwb6NHFo2ogkPUGNvbia7sYGY8Pg2I6Atn2K0FQHNiPBUrVj49150CieNLgVfby/jpQu7snCXR2wL5daEKHTLc/+5FVk+fmGHuY6glN4+8+g1rUWxUH0iPlQrThMEtrC/Bq1KTN7z9hW3VVpR3H6zjYU78vHXtb7ZEsSvd7MRj4d6/42s8B0XbkC8o9XoYrjg4SeY88bLzJn7LtOn3YxMJiMoKIjbbruNd955h+rqanF2pVKJzWajZ8+ercZyJEREREhR45OI5uZmcnNzT7ifuD3ExsaSm5tLbW0twcHBh15AQqIDkITxUTCsT2eG9enM7rwyfl62hC1rf6M4dx+W+lpCE9Jaid4ot4m/av3IyfY88vX2MR4IwWoRH6ql4L9HtN4XUvAIj7ZEh4D3OISIVmVpEQCqM6jl8eHgdrvP+Iv8htw6/lq/mpy9/zDmhvtpxPeGrKUVwqj1Y+Wy7xk14Qrxfe95tpabfM5ZAeH7IZynQhKeQaEgVGWH/zTmm2tzRQvFytxKhicZfaxFmcm0ihoL+AWFit+34UnGQ3a0q/uvFNveykafxhvROk0rm5L3MalosvmMSRS7pLJz1VLSBpyNnyZAHEdbeIvelp3/vMftnWMAMPGGe/j87ef5celPjB97AQDDhg1j4MCB5Ofvbz8dHR3N+PHjmTFjBldccQWZmZlHda4LUWOTySSJnQ6mvr6e4uJiEhMTT0ormEwmIzExkaysLFQqlfjkQULiZEJKET0GdEmM5M7pN/Dqi88x7rJrcDns5Nf4RrCqTI1sKzeTU9P6gtwyWjw8ycjwJCNpRp3oSaz7r/aqd4to70ewW70eabe1fqHlrBD1Kiqv8Iy9R8bR7PppidPpPOOzpzfkegRmgFJGs8XMD289hcvh8DnnvAVcSaOFElMjw8dc5OMFbtngpqTRIr7v7aGF/eepYFtocsnRKZzi9MIaayvbgSAUhfrD3l3shEQ6gGZTJVnZ+eIy6XF6j43CYueBxf/6rE+oT7wyt9KnRJqwTy2Fr/eNQkmjxSfRtqTR4vkOV2Zx9fixDEiMEesUe5dqbFlFRqh9Pr5zhE9DlK3lJtKMOp9mJMJ6/DVaGntO5JPPPicvL0+c7ufnR6dOvi2jr776aq666iq+++47XnzxRerr6zkaIiIiKC8vlxp9dBBut5uSkhIqKytJS0s7KUWxgFDjuLCwUKpxLHFSIkWMjzF9B5/NTz8vxbX6e2xx/ZDpQimssdI7oJF/LZ6M4FsHJbSKOHnjHQUSEB7dikL5v2hWy+UFv2PLdQqEB6jJ37cLzHUoVX7UNBw8wehM5ExPvNtbbsbtdrN13UpWL/+Bs865gEa1HplCQUWTrVWlFMFHvG3FQrpdcRW1VU0+yXbeUWLBIiCIPWF93t8Hb3Frq/CtZfz2unxx+srcSp+xHOipSbROgy4pHYe5jj92l5MRYWB7YZ1YAcMboTvegXz/gM/3TqhBfKCnNeD5PoeEGdlXUY8h1F9sBCI86RHqlrdlwfC2qwjR45Zj9kYeZETZaRAffPw5T814+IDzyWQyBg0aRN++fVmwYAH3338/N9xwA/3792fNmjUsWLAAnU7HFVdcwVlnnXXA9QgoFAoCAwOlqHEH4HA4yMvLIzAw8JSp+qBUKklOTiYnJ6fDEwMlJFoinY3HmG4xQfS64Ao2fTkbsrag6ncR3dLTidJq0EYEixEy74u4EHFqmVQD+/2MwgXT2/vYMsvfe10tI2vCBdbpdPD9R28TGRPL+CumcE563LE9AKcBFovlgBn5pzNCWTaT2U7Wrq1s+nM5EyZPIz61q08SmLfoFURxwb5/GDpqHPuqmnxKkLUszSbQsoygUKpNsC4I6+4VFcSA0Dgqzc1i1Yk1OXU+4tn7nB+eZGRCt2ifKHB4gJoZ53flkQVLkStUvLU2l9sGJ/mI0EdHpIoe/pYit6X1wvs7Koy3Jd7Wi63lJpT1zaJtyfuYGLT78wbEShZeFTgE8Zxm1LEyt/KAVhFvHrz2UmY+fDsff/IZ10y+6qDz+vn5ceONN5KRkcFHH33EW2+9RXBwMLfddhtWq5V33nmHLl26oNfrD7oe8ESNs7KyMBgMp4Q4Ox0QSrHFxcWdcrYEtVpNfHy8VONY4qRDEsbHgQcuGc6kXxcTEWEkrX8G4XIz9UqDj5WhrYvpgZLnvC++LZOFhEfIgnj2vogL25LVV5JVZ0FjCGXjzz8RHh3H1Hseo3PkwbPPz1QsFstJl7RyPBEEcVqEVvx72/o/SO2WgX9UciuhJog9odJKSaOF8CCdR/h5lS1sK+o6MNbg07UOPBaJRXs8UWThPBf+17htOJ2edWYm60VhKNxEthSx3vYEn32sbOSBS0fxyg9/YKnIh8FJPgLVu3SaN94VNQS/cEtatnluK3pcY3fSTdOMq8X7K3MrxW0INwuC7cm7uYe3II4L8ef2wUm8uTZXnN/bQmUy25F3O5fFv68+pDAW6NevH3369KGqqoqwsDBRpOzatYuXX36ZGTNmHDIZValUEhgYSF1dHQaDoV3blTgy3G435eXlNDQ0nNIR14CAAKnGscRJh3SLdpxI6d4Tl8OBVq3ELZPjlHt+uIRHqEAr/2XLFs+w/4LtfREXWtQKj33zq83srWykosnmkz0PkFtWzsdvPsfaD15i3YevUJS3j8k33SaJ4oNgtVrPyIixgNvtJm/vTnSR+6s6eJ+3giUCPI/366vK2JuTQ7W1dZ1gb4RWzgNjDaKfWPDXC75iIbnUoPW0Slb6+eNytI46e9csFsbUkpcu7CpGYYXpmogE1MGRvPHbP7hcThzZG3A7265B3vK7eKB9a5kg13L5aJ0G/4BA/AJDD1iazftmocBkEyPFbSEcsym9Y8W/9RpPgq6AMi4dt6WeN37e0uY62kIulxMeHu4TubvmmmvQarUsXLiwXeuQvMbHH4fDQXZ2NgCpqamnrCgWMBgMBAYGUlRU1NFDkZAApIjxceP+yROYftsdNGdvpjm+JzJ8LRNAq8fMgldRiCy3dSEWHvV6d9Tzjua1/L9g8x+ExyVz8eVXYW5qYvTQvtIjq0PgcrlQKBSHnvE0IS3CI6iEts9ChDY2rYdPHeKWUcv9SaORpHfphFyhOKgwFlhfZPLxGAvd6rwrOghR38omFzKnhfCwSMIDfGsVr8mpE/36gndZiLZelh7p02gD4O+iSq7rYeCdn/fiLNzOb8Vrse/cQHRyJ9H3642w73rN/nUczEvsnUTrLWormmxYGurILs9h0KBBrbblLYqF8nUesd16Wy9d2BXwrdEsvBYwaFXI1FqUSf3Y8t189qTcT+fURKrrmli86Hv0hmAGDhxMpPHQXmCFQkG/fv3Ytat9LaeVSiUBAQHU19e3y34hcXicytaJgxEeHk5BQQEVFRWEh4d39HCOCKFtusSpjySMjwNWB9jkAQydfBvNBf+w88t3mDTtfgICPRcKby+hgLfNAlpHp4SGBC1rxx5o/oKaWmoLsyn5ZxNXX38LXdM6teqMJdGaM7lMm3A+1dhcaHRBNNRW4/ILYOuWDez49Qfk4Sn49R7rs0y0TkNxg5mPPv2IsZdc3apShTfeNYsF60SaUSdaJIQocGayfv96FCrkzY3ieX9ZeiRfby+jrNZj+Xh7Xb7Y/EMQlO7SHGRyOeu2rePiSVPQKWHP7wupyNrJ7w0m5EoVJoeCmJ69wD8QY+VOfl1nISQhDXkbN0TeXe0EvJP+wBPxFkrJCd9l7+iwLsRIdFIySxZ+zyVXtG1vEIT1+M4RLNpT7tNYRKClIBY+A9N/VWu8u/0pu53DOcoknnnqCTQBOlwOO8mpnSgpLeebL78grXsvbphyJTExMW2OByAvL48vv/qKMZdMPuA8LYmMjCQ7O5ugoKAz9rt0rBGqTlgsllPaOnEw4uLiyMnJwc/P75S04jidzkPPJHFKcPp9u04C/JXgH6Ti/E6hRJ89if9Z7Xz/4VtcfvO9+Kk9j+i9W8ACPpntB4u6lTRacDkdmHL/YePef6ktL6HRVI25sR65Qkmnrj0przVRW5hFSFgEYy+7jjFn9z+u+3s6cSY29hBKsyUH2vmnvBlQog+LZNU386mr3G9ZkAUE+yS9uV0u9hYWoSrPYewlV7fqSteyZnGByebjMd5abvIp2SZEgz3/13mi0no/QputVLPffiQ04XhuRRZltWbeXJVDZLCWWwcl8MPOAlZ8/g4AickpvDnzMRwOOwMHDebi6bcRl5BEc3MzMpkMnS6Q/OIyfvxqAUV7lmBf/hXRPQaQNHAkfWOMbC03sb7I1KqcorfHWiAzWe+z/0KNYQGFUkVikAp1v36YzHaf5Fshyi0cK4NWJR6nuBB/URwLDUsSQrViwp7QHRP2i2bBqyyTyRg0fBSd+w6lvKSAfbVNBIbHMLF7DH/8W8Cm1SuY8fgTPPboI202+XG5XDz/wkuMGHsJQzIzKa+3t+vmWqlUotVqpajxMcJms5GXl0dISAjR0dGn7c2GTCYjKSmJffv2oVKpDtmB8WTjVBuvxIGRhPFxwmKxIJPJ0Gg03H/bjTz0zMt8NncWF18zDQgV5xMSmCqabDRWl1OZ/Q9KlRqNIZSkmFhq3QrkShV9osP4t7SWgs1/krfhN0JCwghP7krn/sMICjESGx5Gs9XKvn+2EJfShcnPPHZG+2SPFIvFckaWanO73dxxx50EBOm57Ma7UShVoijWBhsJGTiOLl09j/FrSgvQ6PTsXvsrYy6+GldUZKv1eVswWtKy251Bq/KxHgiRUuFfP52NTY37RXNciD/jO0fw6IhUbv9mO4AYQe7s30ypPpibpt1ORs9u/Lsvh8L8XM4bOYIGqyeio1b7U5Cfx9a/N3LJuPNJuPsBIoJUfPTL36xb/j15v39P38ltt0v2xrtNtID3PieEan2izVoVuFzuVjYp7453sL8cXMvjJNxI6DUqMb9AiBR7WylaEhLoT0jnNMr/S4bMrzajCQgkJfN8YqKiefKpp4iMisZis2O1mGm2WvHTBiBXKEGpIjC1j2hLae9Tp8jISHJyciRhfJTU1NRQUVFBYmLiGfF7LtQ4zsrKIiUlBb9TqAGVy9UytVbiVEUSxseJkpISoqOjAc+X/YUZ9/PqnI/46PWnGHjuWPoMGQFAc10V2Q1yQkMUbPjkdcLT0gEo272Ff+uqsVmakCuU/BMRRW1VBQHhsaSPv5YHLj67ze2e379Tm+9LtA+LxXJaeffay76dm3E47Djsdua/9CjhnXpywfX30qyPQCaT+Qg0f20g1sZ6ep9/CaVNVp/oZ8uSg0IjGiGKKURgBdE7PMkoeni9RaV3Nzy7rRGVzIXd7fHGF9ZYxeYdz4zxiHXhtUwmw9rUSFhsMg1WJ907p9K9cyr+StD6ySmv/68hSM9O9O/p+a4IYu/aUX1JDAng/Tmvt4oIexMeoG5VWcO7QocwjzcZEQbsMgVbt26hx/D91gXvNtLCa+9lhycZWbClSNxGRgQ+CAIZEBsAje8cIR4PQTR7+6R9tp0+AFdIFNb6WjqF6vHXaKl3yiiqrqHZ3ECnxJQjilCqVCo0Gg319fUEBbVugy1xcJxOJwUFBSgUCtLS0s6ovBCVSkVSUpJY4/hUyPdwu92Sx/g0QhLGxwHhC+IdeZTL5dx3y/+xJGMAv3z3CZvX/kZgaCQl2Z6klvIgA/F9h/HSfdN81jV3XR7NTQ34W0wkxsQwqk/rR54Sxw6r1YrR2Har3tMZm9WC2l+D1WImIFBPQ0WxKIq9idZpQKchZ+NKiPLUwD5QQpp3JQvv6GeBySb6ip9bkcWjI1LFbo5Aq65uzfVyBqkDqHZ4kvu8E/CEKOpl6ZGUN1pZPO8FwDd64+/1K3egiKcgmONjIrE01JFX7bkhFWwOQm3lr7eXtaol3NJq0ZICk43hSR7R2mngCHJ2baVPegY6zBQ59u9nW+XgTGZ7q8gx7LdNCNHl8AC1+HdLvGufCwjb2VpuQmsIY3DnVDGZ191ko2twmM/8CV4VL9pLVFQUubm5kjA+TBoaGigqKiI6OvqMjbj7+/sTExNDTk4OqampJ719pKmpiU2bNnX0MI6aoqIibr/9dn7//XcMBgPTpk3joYceAmDLli1MnTqVbdu2ER0dzVNPPcWUKVPEZT/99FMef/xxioqK6NmzJ3PmzKFfv36A58bhoYce4v3336epqYlRo0Yxf/78k/ZaKwnj40BJSQlRUVFtThs7uDsXDHyO7OxsKisraWgYxOqcai7L7EHPnj1bzT91UOJxHq2EN3a7HZXqzEtS7Nl/CD9/8xEA5qZG1Log1mTVEG/U+ZRVE5t3dM+goI0nh0InOKBV1LWlOBZo2cGuZeKaXKmmtrER/PX/VZzQiAJ5TU4dw5OMVDTZ2LZqKQBX33znYUfYBMFcTgAyfx2F+UXIDZHEG9SizaFlVQ7vZDthvMI+CJFcYT+9O1IGBOqpstrZtn0zo84fDeBzY+DdTMW7XnSByVNPOj1OLy4jYNCq2mymsnBXCRO6RbeyWnhHqL1fe1fx8B6H9zFqLyqVCrVaTUNDA4GBgYe17JmIy+X6f/bOO76t+l7/b9mWNTwkD3mP2HHsTGeHhITEkAQChAQIYRRIGW2hUDpvoS2l617ubeHX0nuBUkoHpFAoECAhhJVAGBlk73jG8YhteUq2piVLvz+U7/E5kpyd2En0vF5+JdZZ33OOLD3n830+z8ORI0fo7e29YBvsTgYJCQn09vZSV1dHfn7+kCXHX331FXq9ntmzZ7N27drBHs4pw+fzcf311zNs2DC++uor6urquO2228jPz2fJkiUsWrSIhQsXsnz5cj755BPuuecexo8fz/jx49m7dy933303Tz/9NHPmzOEPf/gDixcvpqamBq1Wy3PPPceLL77Iq6++SmpqKvfddx/33Xcfb7311mCfdlhc3H95ZwFutxufz4deP3CFJSoqihEjRjBiRGAq96pzNbgIjomL3Xu1bOHN7Pnqc8ZfsZgjcbk0dLoGrIbu37WFnHGXYFXFKsIt5OEywRrj4KqncJgQFVW57aDc67vLA1F9gf2Kpja5ddvynY3MSPTQ2dLAuAmTmT5tGgAGvVpRLT5RqLQJ+CzNRBkzJPIth2hAlNsiCt9hQW7lCXrya9hkc5KVWwBAgsFIc7sFnb6/aSdc9V2+vZBwpMVpFGRYEFh5tV1ASCkWj85i5YGmsGElcl90OTkWlXKr88Qa74KRmZlJXV1dhBgfBw6Hg/r6ekwmE7m5kTRSgZSUFFwuF2azmYyM0F6GwcaOHTvIz88nIyODrq6uwR7OaaGqqort27ezevVqMjIyKCkp4ZZbbuHdd98lNTWVrq4unnrqKbRaLSNHjuT111/n1VdfZfz48bz22mvMnj2b++67D4CnnnqKl19+mfXr17NgwQJeeeUVHnroIebNmwfA7373O+bPn4/NZhuS0sWLR7h0jnCsanEEQxsXY7W4vNkmyQ4ycvJxOmykDyuSlm84ZA0huFnxOmbOvRZ9vHKKvN7iVpAqudZYnswWbEHW0OnCoFMPmCrnj45F1dcLIAXZtNrdkk1bXX0TL/3x1yTGJ3DjLXdg0Ksx6E/uPlosFtavX8/WzRu4f9ntePZ9jL831B1G7soRjOCKrXgQKCswKX7S4jQUm+LJzc7koMUlkeFwFV/h7iG/B5sbLbTa3VS22Sg2xUtkuMnmZH1tmyJxcMMhK+tr26SK8eLRWYp9ySvddR0OyfJNaJJF0MqpIjY2FrVajc0WXuZxscPv99Pc3ExjYyOFhYWkpKQcf6OLDFlZWTgcjiFJPPPz889La7lwGDFiBD09PYoHELVajd1u58CBA4wYMULRAFpaWkp5eTkQSMiUz3jHxcVRVFQ04PLS0lK8Xi/V1dVn+7ROCRFifAbhdrvxer0R25bzFC6X66JypNjfYOHJx37IX5/4GV6Ph4/ffoWJc6+nPcjgQG63JrDi38spSUsgK17H9Byj9LogrqAMuVhf2yaFekB/FVQ4Ojy8+iDPbqpjc6NFIpDS8e0u7J7QVD1B6ryVGwCYMn40w/OzA3aJMZxUtfiJJ/8ff/rTn1j+1z+RFBcD3l78YRL35KRSWM1NSDcqXpc/HOQZNayvbaOyzSZV04WWd2ernertXwABYlpsipf2lRWvkyrQ4kd+/ZpsTsWDRPC1kRN4oeUWEdKCmItxCvmLUa+mrsMh/QiEa9w7GWRmZtLc3Hxa+7gQ4XK5qKysJDo6mhEjRpxXDgznEiqVimHDhtHa2ordbh/s4SiwcuXKC8YtJCoqSlG93blzJ//617+4++67w1ovJiUl0d3dDXDSy5OSkqTXhyIiUooziObmZsmJIoLzDxebVVtXZzs93RZS0rM4sHMzGo0O3fCAK8r0HCMNnQG7NjkhFv9fdMMt0vR9k80paWCDU9zkjhVymUC9JSC1WFSSrtDvNnS6eHxdtWTJJrbxAw0Wl6S3Fcd9YuEodgyP5R+/343XEyCeLu/JkWIAXVw8UdHRzF+4hPVb9wGgUoV2w4sQkgdn5EsaXEFcBeGVewlDaLS0qOjGJ5sYMXUOez9dTdZ1S+m0uSmQEVYBebqlXFYRnHwpsHh0lkRs5TKQhk6XpDkOhlGvllwt5PuWj+FUodFoiImJwW63R4oGBKrELS0t9PT0MGzYsIvON/1UEBUVxfDhw6mqqqKwsHBIXLP29na+/vWvD+oYYrWxGFNPvDE2zuADvMdcZ8WKFdxxxx24XC7uuecerr/+enbt2hWynkqlkmYbw4WbyJcHW9kJvfhQtbiLVIzPEHp7e/F4PJEP/vMYLpfrgnn6PxGkZWRx27cf4d6HfsyBHZuZNPMKJmYkSUROVB2FtRr0E7N/v/2mtJ/gqX6x/oZDVsk2TEBs39DpYnOjhVUVZsoKTDw4I58HZ+RLFWRhyVZWYCIrXodXpaYgMfBx1R+ZHGgu64tLpmzBIuoaArZmp6Ir/unD/8HIuUtY98EqjhyuxpCZz5S8eEmuEYxnN9WxfGcjTTanRN4tDg+7zBae3VQnXYOseB3Fpnim5iVJ68ihUqkomTGXWFc3ezd9Ql2HQyLXEKjWyonyQN7Q8uV1HQ7yU/RSxV7us7zhkJWVB5qkn/W1bdLxBJkWMg1BuMVYRBDMqSArKytSNSa0SjwUCN75gpiYGAoKCqitrR0SKXObN28eEuM407jqqqvYtWsXb7zxBqtXr+aFF14gKioqhMT6/X6pQfR4y+UkWSwDhmyD6dAc1XmI5ubmIdkcEMGJ42JLvStO11OcPpkvy800Nxxi1tJvhIRP5CZrJcsy+et5oyeGTN8vKkmXGriW72yUyPSGQ1Yp5lm+jVj++LqAzmxpacZRWYZFWrZ8ZyOLStLJ0aTg6PWTlhjwCpaTY4A9Bw6y5Or5p0SKAWpqajjw0etMXPJNUvKLJVLZanfz4Ix8iSSmxWkksi9/YAiOiBauFYCiIVFAVL6z4nWkHU2vi9dEY25qQGVIk9wu5M2G4TTIYkxyrbCQRAjkGTUsm5gjXWcRkiKWCWIvzrnYFE9lm01qKhRkPJwG/ESh0WiIiorC4XAcszH5QoXQEttstkiV+DQwVGzcXnnlFW655ZYhS+xOB/Hx8ZSUlFBSUkJ1dTXPPfccd955Z4jGu6urS9JXJyQknNRy8f+hqs+OVIzPADweD263O9J5fZ7D7/cPWUugswnzkToSktOI1QYIi2XfZg58+LpinWAS3NlUr9AQQ0AqIaqQeUZNiM71jT0tgca9QsMxm9jk24rK8RFbHz5vwMYtRNdcU0u3uZGZM6adyukD8PmOCgpKxpKSXyydyy6zRaoIy8mniKQOPne5x/KiknSm5iWFJZNCP11vcUuNbRaHB4cXclP6NX5NNqeiwpwWp1G4dYgKtfiBAKkN1gRvOGSlss0mXXf5tRcPGHLbNovDo2i4O1ZE/cngYq0a2+12KioqiI2NjVSJzwASEhJITk6mrq5uUJyEXC4XN9100wVHitevX8+ECRMU1zQ6OhqNRsPo0aOpqqpSaIL37NnDmDFjABg9ejTbt2+XltntdmpqagZcvmfPHjQaDcOHDz/bp3VKiBDjM4CWlpZItfg8R19f33mRsHQ2kGJIwNLaROWODTRW7mXbRytw2UKnzUVjWIy1lRnjAh94wTKKYMwsNCjkCJsbLRKhDiZpb+xpkYivWC7wdnkXWw+3SiQVAjroPKOGrj1fkDfpstOqRDbVllM0egJlBaYQwg8B4mvUq6Wgi0fnFvHgjHzp3OS2brnJWkn+sKrCrEj929xokZLsIKA33mUOuEy4nA5aW5pDyLTYV3DFeKAKstgm2PpNfl5yb2oxtmBdsXz9JpuT/BS9FIRyKhAypYslIczn81FfX09LSwvDhw8nNTX1onzwPhtISUlBrVZjNpuPv/IZxrp16y5Il5XS0lKOHDnC97//faqrq1m/fj3PPPMMN910E2VlZaSmpvLQQw9RXl7Oc889x8aNG7n11lsBuO2229iyZQt//OMfqaio4Ac/+AEmk4lZs2YBcPvtt/Pcc8+xZs0adu/ezSOPPMKNN944ZHt6LqxHnkGA1+vF4XBEvCfPc1xs+mI5elETFR3N5tWvSq9dees3Q9wpIFCRzIjNlpLU5FP9cmIlJ2VpcRoenJEvaW+FFEHINMQyCGh3l5ZmSNKEmYWBqmZDp4sYlT/EUxjA21rLwiWLTusaHGmoZ+JlAUfx/BQ9+Sl66jocCmmJaLQTASTBTXICooFQIDdZqyDDgpAGP1Akp6bT22tUXDtBfsN5CwsIicpACYRiG6NeTVmBSRE2AihCSIIlIfLmyboOB0a9+pT8jAUyMzNpamqisPDCTvDs7u7myJEjZGRkSB34EZxZZGVlUVtbi8ViOWdT8g6Hg7S0tAvSVi85OZkPPviAH/3oR0ycOJHk5GTuvfdevv/97xMdHc3KlSu5//77GT9+PNnZ2bz00kuMGjUKCJDqF198kccee4xHHnmE8ePH884770j2pw888AB1dXUsW7YMh8PBggULeOaZZwbzdI8Jlf88TTXo6upi7dq1zJs3b1A/eBobG0lISLhoozsvFLS3t6NSqS7ID7yBsKXWSuW+HXy0YjkqVRS9vb30edxMufVBjFnDABThHQDj0wx8+M6rLLjhawCKUA55dLKAfOpfnoQn9zIWGl7h+AD9Gl054e5sruXVwypAWXXzlH+OqukAL/35/05pevMP721h66vP8J1f/B6TIQ6DTq1IihN6W0ChtxVkVSwP1lAPBFGJFU4QQg/81YdvMmXeDext7wH6r/2yiTlYHJ6Q9YEQTbgc8nsn1yuL7cR55KfoJSs3gYGCXcoKTOSl6E9Zyw1QXV1Nbm7uBSkp8Hg8NDQ0EB0dTU5OzkU7C3Wu4PP5qKqqIicn55w0vnu9Xg4fPkxRUaic6lxzkrVr1/Lefisrqk/8j7E4ycd947xce+21F6XW/0QRqRifBvr6+rDZbGRnZw/2UCI4Tbhcrgu+slNpduByOrB7VEwZlsgnq16jYs82Zt90L72JJswVe0hMzyYhLfB+lksDRLNYS4+TCfOul8iqnAjLE+tAWREVVcdFJekY9WpFc56oFssrx4HGthaWlmZIBDROq+HbU008t7VJcV4xJZdB+yE++ORLFl5ZdtLXpfqLNeRPns3+TgdZvX6p+UyQxmBpg/x3eTCJ3LYtmMDKq+nBleZWu5vmuhrmL76FqKgoJkhkKnDNRCVXuEcESx4Git0GpNhqAdEcKR+X1elhUUm6wmIuOKVQTpStDg/a06waNzc3M2zYsFPex1CD3++nra2Nzs5OcnJyhmSa14WIqKgoCgsLqa6uZvjw4WfVC7qzs5PPPvuMG2644awdI4KhgQgxPg2YzWbS09MjurELAE6n84JPLPxwzSq+eP8tjClprErLpNftYtn3fkGVw0cMkD2uv3ktmGxBoNL5+YeryJ84E4sjUG2Qh3kET+U32ZyKqXsBiyNAxFrtAd9jOUEWMdECb+wJkOO0OA09fVH4e2w8OCNfWi4qpq3+uby3cgVjSidQkGE84WvidDrpPFzB/KX30ObxK8i90NUGE9lgYmrUqyUybNCrsTo8UrSyvPos/z3Ytq2xvZ19je0Yon24YwOBGyLCGQIPFnLNr/zBRE5a5fdN+EBnxesku7hgiChogIcuDURVrzzQFDJTAEp/5NORU8TFxdHU1ERvb+8FEWrhcDhoaGjAYDBQUlIS+T44x1Cr1QwbNoxDhw4xYsSIs1Kl9/v9VFdXR0jxRYIIMT5F9PX10d3dfcGTqYsFPp/vgp72XPnZTr54/y3S84ow11djd9iZuOSb9KAGQpu4BFmVN8C1m5vIGjOZLn80+bJ15bZeomIqyLCodgoZxYR0ZcVUVCrF8eSkWL7/tDgN/uhYLHYbR3pV0rEgUJmeM6+MFS3VvPrSX7n32987YeL25L8/QmtMoc0TXlEmiCkEZARyoit3fxD/39PQr4GWyxXk4R/yZRDQaTeVlFLf3oHJ241PZ6DPlEGr3U1ZgUnSJ2fF9+uNw+2nrMAkyTrkyYHQrw+GUPs4QYzlsdFWp0dR9ZZXmvNSTn8KVlSN8/Pzj7/yEEVfXx9Hjhyht7eXgoKCC4Lkn6/Q6XRkZmZSW1vL8OHDz/jDic/ni0gPLiJEXClOEW1tbZhMpkh14ALAxWDTlpqZw8z5iykZO4GUYSV4nHa2vPxH9u3fHbJuuAY3gP1tVvy+AIEUJCs4lniX2cL62jaFjGJVhVmqQIqqsgiuaLW7mZ5jZGlpxoAWbmI8KQnxJKuVxxJjUKlU5A4bjsvpwDBAU1wwmi1uWnd8yvBLrwpZtnh0lhT3LLC+to2VB5pCqr3B4RjiJ5z2t9XulqzdxLUT+4tPSqFCnUVFTRXNNgeffvyeomkPUNioiSbAcBD7DHbYCCbFTTanIugDAgQ5L0WvuI6iyt1qd7O2vDXsMU8G8fHxuN1uPJ5Td7kYLPj9ftrb26msrMRgMFBUVBQhxUMABoOBxMREGhsbj7/yScDn8/Hiiy8yduzYM7rfCIYuIsT4FODz+bBYLCQnJw/2UCI4A7gYgj1MhjiuXnQD0+ZcxcjikQAk5QwnZVjAt1cQWTkpFtpiAFtXO22Hq7Fr+n13BcJZtgVXLeXNdpajUgPoJ9aCRB7L31gVrUbl8yqOJSQCNYfr+fjdNxl/2dUn3Bi2eec+3L29XDlzVsiylQeaJIu2YHIpSGVdh0M6j1a7m631/Qb2wnauyeaUHiKCJRnCpq3V7lacU1T+BBq6vaiyR2NrbaRl/xa+NTmTtDiNVHWWJCSyirHQRWfF62i1u6V7VHw0ZtqgU0uOG3JfZvl4xP7XlreytrxVGp94kAnWkZ8OMjIyaGkJnSEYynA4HFRWVuLxeCgpKYk0XQ8xpKWlSQ8uZwJNTU1s2rSJe++994zsL4LzAxEpxSmgvb094kl5AeFisGorTtezubqTbV98zK6NnzDjutvRF5WiUkWFdVOQE9SseB31nkRS8/ottsR0/rFcEdbXtknkWDTbLSpJB5CayCA8OQ6uWj+7qY7cZC2zEpWBEysPNOH3+9n/9svMmruAJXOnntD1MHd7KN/+JXFJabQ5PQqbMvn+xTkE25jJpRGi8i3ORZBJAXnD3NS8JLbWo9AxCwhbutxkLSqViuK8DOn6vf3uu2SMmkRBRpriPAa69nIHCuiXP9QfrWzL5Rji/gfCPgINeANZysmv3+nojCEQ1NDc3IzX6x3yYQler5cjR47g9XojsokhjtzcXKqrq4mNjSUxMfG09qXX65k4ceIZGlkE5wsiFeOThM/no6OjI1ItvoDgdDqHrNH4mUKl2cGOjZ9wYOdm7n7oYa69cj4TM5Kpt7h5+rNDioCKYDTZnPQ6HcT1uWk9XEVNS5ekIT5eTLAgX4JoPbupTpJABE/ryyuz4SrHDZ0u9LFqVH6f4vWuhhqsXe3cfduS41yFfhyoqKTiwB6mXb00ZFlwhViEcMhlDHLSaXF4pEpqOC9hefXW6gw0zAUfQ5Bi6I9wXjw6C4vDQ2WbDd3o6disXdTs+WpA/2SBtDiNpHkW17a+w8GehkACXmWbTUGKISAdCbZoWzw6i6l5SUzNS8Ig040DJyxXORZUKhXp6emDEtJwovD7/ZjNZqqrq0lKSjrrzgcRnD5UKhWFhYU0NTWdcphMZ2cnLpeLNWvWRLTFFyFO6THd4XCwdu1a9u/fT2ZmJnfddRcAR44c4e2336a5uZnExETmzZvH5MmTpW1efvlluru7ufXWW8nJyaGzs5MnnniCxYsXM2PGDMUxfvvb3zJv3jymTJlyemd4htHR0UFKSgpRUZFnigsFTqfzgvYv9vl8vL/qbbZ98RFzb3+QbnUSWoeHZzfV0dLVbynW0uUgI0mvsGcT0CcaIdFITHM9KlUU9RY3Gw4FrNXkyXbBFUzhilBWYJKItyDhYjt5lVXubhGucvx5vY1Wj5ux+f33y9pST3J+sWQmfyyYuz1sPtTKmtdeZvJl8ynKzZGWCZIvmtGMerXCw1hEJa+vbZOkIqJqLodoRJyal8TKA0rpgTwcRJDjgRLqhExDamxML8Hn8/HGqy9z0623K5fJbPPyg5rjhMRCPj75dhCQhQSOazl6b61Stdri8GB09l/bsgIT9R0OqQp9Op7GBoOBlpaWIZk8abVaaW5uJiUlJeI2cZ4hOjqagoICyaniRGckzGYz9fX1qFQqsrOz+drXvnaWRxrBUMRJszuPx8MLL7xAY2MjS5cuZenSQMXF6/WyfPlysrOz+d73vsfs2bNZsWIFTU2Bru6NGzeSlZXFlVdeyZo1axT7/Pjjj7Hb7WfgdM4uhHYpNTV1sIcSwRmEx+M5IVJ1vuL5l9+mev927njo54wuLgECZExelZ1ZaCAjKXxlRERBZ8XruGHGJHRVXyg0w2/saeGNPS2KuOdgVLbZFBHKcohmNFFxlSeyBVeObb4o4qL7FK/1dZkZNXz4ca9DpTmgCd783muAipiiwEO3POoZAiQxmFyK9eQQmt20OA1lBSaFpjrYHk2cXzjN8YR0I4tK0slNDsh5hJdz8PYQ8G0tu+YGrE6vVHkWGmLxr0BproG0OI2iki2veovXg50txAOR3EUj2HIPYPm2OpZvq2P1vlbpx+UNWe2YUKlUpKWlDamqsdPppKqqCqvVyogRIyJN1ucpNBoNubm5HDp0iBPNMUtJSSE/P58pU6ZEHKcuYpw0Md64cSN2u51vfOMbFBUVSWkztbW1OJ1OFi5cSFpaGjNmzCA/P5/duwNd7y6XC5PJRFZWVsj0ht/v56OPPjoDp3N20dnZSVJSUqRafAHiQv3i+3RPPRvWriL/8iV4dIYQTfCSyZksmZxJvcVNbrJWImdyiG2abE6sTi+33nEXS0szeHBGPjMLDdI2crIsx0A62HDWbMHrB5NjW1808dF9CgLe3dpEYUHBwBfhKNbXtvH2F1/RULWfq267j2i1Wmo4szo9kmex3NZMVFblpDcrXseEdCN1HQ5FiIccwuZt8eiskGVywik/ntBfAzy+rprH11UrSKtoBjxUsZ+tO3dIy8T+xI8YV/3RSGv59sIxpKzAJD2AiCa+/BS9woJODvn1NuiUsgp5Q96eButJk+OkpCS6u7vx+XzHX/kswuPxcPjwYY4cOUJubi55eXlDroodwckhPj6elJQU6uvrT2j911577bR1yRGc/zhphrd7925mzpwZorMym82kpKQoKm+ZmZm0tQU+QC+55BI+/vhj/vjHP1JWVqbYdv78+WzZskWqLg9FiGQjk8l0/JUjOG/g8XiGfOPPqaLS7OCz995k2NgpJKbnhF1HTJsHkub6ia28+UpOVHeZLbz28ovSFLyodgo8u6lOUfEVP2If8in93GStVG0N52whxiAPrTjU4YZeN4+tOciGQ1Z6Wo/QbemkuPD4xDixz0nFpyspnHElsVplKp/cKUMOIYkQpFPIEuSEttXuprLNBqAg0MKlYtkUpVevnNAadEpP4gdn5CseTjY3WhTnv762DWtCBv7kTEX1Wb5fIUsRko9gNNmcrK9tU1S1xXryayB3zRCWe/UWt8LbGQLkf9mUfOne1g/wsDAQVCoVqamp0nfFuYbwIz506BCpqakUFRVd8M24FxNSUlKIjo4+oVmJ22+/naamphOuMEdwYeKkiHFfXx8tLS04nU6efvpp/ud//ocVK1bQ29uL2+0O+TDR6XRSddhkMvGTn/yEn//855SWlirWGzlyJMXFxaxateo0T+fswWq1kpCQEKkgXGC4UB0pKlrsrH77DY7U1TDx8oVMSDcqAjEmpBsVDV8QkFPkGfuT1NI0gQeGGGsrWfE6/H4/LlsPpmnzpeol9BM6gSabkwnpxpBmLiFZEBXg6TlGhTPFsRr5xDYmYxwxRz+12msOsPX1PzN1wVI0x7mHzRY377/wBEk5hWSNmxZWCy2Ir7yxLi1Oo/AoFvIDQYTF+JtszhB/YwgQzT0N1hDSL0hsMBnfZbawbGL/Q4z8fkj7NB+hu72FrHidwg9a7FdcS/kxg6UeEKhqyyvagvDKiXhanIapeUkDzgZMSDdidXqwBp27ufvk/IlTUlLo7Ow8p1VjUeyorKxEp9NRXFwciXK+QJGdnY3NZsNqDd9gLKBSqaivr6evr1+u1dLSwpYtW872ECMYQjgpYuxwOPD5fBw4cIAFCxZw8803c+jQIVavXj3gB5r8ySsmJmZAErJw4UIaGhrYtWvXyQyJ3t7ek1r/VCA6k9PT04+/cgTnFS4UR4pKs4NKc3+lrr62mr1bv2Tesu+i0cVJxOlIj53NX3zMs3/8bw5XVgCByq1crpAZp6XXaWf92vdwOx10tBwhVadm10dvYW1tovLwEeotbsV0unzKXjTMiel3OamyOj3Scjk5DdbvClInrxrnJmtZWprBjGHJLCzRo6v8mPRZN/CDOxcf9/o4HQ7cbhcF0+cRFaV8uBXHEjrcVrtbinQWv7fa3SH6XEGixXmEa8IT+x0o7CPc+vLrunh0lkRqxfWM1ccRbwz0OQT7QYvjCYIsDykx6NQSERbkt67DEbDjO1oNDib3rXY3T2+slX7PM/brqYOJtqiiB4eDnAhUKhUpKSl0dHSc1HanAr/fT1dXF+Xl5fh8PkpKSkhOTr5g5VQRBN5fw4YNo7m5+bhOFWVlZfzzn/8E4Msvv8Rut1NcXHwuhhnBEMFJV4wBli5dyogRIxg+fDhXX301O3bsQKVShZ1+ONEKq8lkYtasWaxZs+akyG5LSwt1dXVnNUGpp6cHvV5/wU65X8y4ECrGckIssHvrJvLHTMYapZUIV0uPg31r/sWhjR/hbK7F13oorKbYZu2i4eAuRl92FRqdHkPJRKKiorh2yR2kF5YQn5YNBMiVvHFO3li3qsKMUa9meo4RCJBli8OjIH2CsMk1twJyIimvmB7pcVDf2Ej5yr9y5eVl/O4bNxy3Otli7eUn378PTbyBWF2c4tjyYwmXhuDKtSDElW02KRFPbCcn9KJqHJyWJ0johHSjRCaDgzLkIR9yJw6ROCeuT1mBCW+vG5/Pq0jOk/soi/3vMlsk3bRcOyys2cT9k+PZTXXSg8yGQ1Y2N1qk3xeVpAea81L05KXopTGJfRt0/cc5FaeK1NRU2tvbz+o0dnd3NxUVFTgcDoqLi0lPT4/0jFwkiI6OprCwkNraWrzeYwvhv/a1r/Hiiy8yceJEHA4H+/fvl5a53W7sdjsbN27k8OHDOBwnJx2KYOjjpD4R4uLiUKlUCh1xWlqaZNDudCqrIk6n86RIxxVXXIHf7+eTTz454W3y8vJITk7m0KFDNDY2HvcNfypoaWkhIyO0mz6C8x/hJEDnA0SFWE6Ki9MDTgr/ePUtdm3fzMhLyhTb2K1dmCt2Sz7At958C9NzjBJJqre4cfZYOVJbyfBJMwEU1VBRgZRriuXT7nKi19DpCnEy2GW2KEifcH6QB2LISaVcCiDI8cE9uzm4awv33PV1vnXPncckYOZuD+ZuD15vgMANn9kf/bzLbAmJfJYTYkH6xBgFkRWJeAKVbTZF5VRUa4WTh4CchMorz/JEuWA8OrdI+r9cl9zecIiirKywFWdxDHE/6zocCg/lYOlGvcXN5kYLA0GQYrlUpv5oY590DrKHA4Nefcr2bVFRUSQlJdHZ2XlqOzgG7HY7lZWVWCwWioqKyM7OjsjiLkLExsZKThXHku1oNBq+/vWvExcXR3d3N5deeikAmzdvpr29nT179jB+/Hhyc3N55513ztHoIzhXOClirFarSU1NVXR4dnZ2EhMTQ1ZWFh0dHYppiubm5pOSH2g0Gq655hq+/PLLEJJ9LCQkJEj6sOrqapqamhQaodOBzWZDo9Fc0HZeFzN8Pt95WTHy+XxUl+/jpT/9PxqazBSn69lSa+W9jfv59INVTLn1IeINyhAaXXwiRlMmeaMmAPDZ7gMhzV0afTzqjGFAKOlttbulCqlcByvHzEKDVDnecMga4jAh8OCMfIm0CUIanBgn39be1YZ1w5uYN7xDUtF4srL6tbHpiWrSE9USERY/ggQ6vCpGjJ2Etic0JtaoVyukFEIHLc5zINcJ+RgNOnXYCnSxKT7ElWJ9bZvigUHoeuUNiwKiOU8uxTDoYrhp/uUUm+IV6XbBmmKBVRVmVlWYpWttcXgw6NVhAz2AsDMIEKgky9065A2DgiRbnR7qOxwnrS+Ww2Qy0dbWdsaqxg6Hg+rqalpbWxk2bBh5eXmRmb+LHCfqVCGkNSkpKXzxxRfU1tYSHx9PVlYWM2bMIC4ujo8++ohrrrnmXAw7gnOIk/6EuOyyy/j4449JSkpCp9PxwQcfMHnyZAoLC9Hr9axatYqysjIOHTpEfX09N9xww0ntf+LEiWzevJm6ulAvz2NBpVJhNBoxGAx0dXVRVVWFwWAgLS3ttCoDzc3N5OfnH3/FCM47+Hy+81JX+OnW/Tz35K+l30dOqoWJBRj1araX78LldFAQF62QCKidVt5+4ff0WDpx23sovPRKolOypAjiPKMGb6+bfevfo3TuImnf8qAP+fS/qBwLtwI5yWqyOXlwRj7PbqpTVIgHauA6Vqx0vcVNls7Hpn88AUDxyDF87arLcNpCm2jSE9XsPFCDz+8nOSUVbXQ0B/YdYO2O/TTUlDPt3u8zfXSWwlVBhHbIQzwgUMkVpFjII+TjXDYln+Xb6gLJgRtrQ0jmLrNFQYobOl1hiaj8mOGugdXpkZxBjHo17727kjETp5FydIzBjYLCMQP6tcr1loCrxKKSdIx6tdQot3h0FlZngHzL7eXEA8Xj66oVYxG/i+qxuB4iGU/+EHGqcdHR0dEkJCRgtVoxGo2ntA8IzFY2NTWhUqnIyck5L2eFIjh7SElJwel0nlDv0MiRIyksLEStVkvfFy6Xi88++4zLLrtMsqyN4MLBSRPjadOm0d3dzWuvvQbAmDFjuOaaa4iJiWHZsmW88847/O///i8Gg4GlS5eSlpZ20oNatGgRzzzzzElvBwGCnJycLE3JVVVVYTQaSUtLO+nKoMPhICYmJhIBeoHifJVR2Hq6AUhOTcfj6WXPls95LTaWgpKx9EUFCMl7r/+DKXf8EADLoX2sevnPAAwbO5mRU+cwduSogAY1OVBlzNDHYm2rZcHiWwAlSZOn0QkE/15WYFIQsQnpASnA8p2NQCgpDmczFoyAc4aZ6ppa4lIy+OkPvkNxcTF+v5/KrtDqr8/n439+9VPp99hYDegTiYkzcPO3fkRaVl6IHZmosop/xVhEeEfdUS9gIX9Ii9NI8gp5Upyo9ApZSp5RIx1Lfu6C5Mqru6JK/fDqUF9nUVFvsjnZf6STYZNmYUxKlLS8Rr1a0hiLMQpSL8g8KMmxQJ4sxERO4sW+n1g4CoCHVx8MGZf8/gtbOvn5nA7S09OpqanBYDCc9IOry+XiyJEjQMCJ4Hz8+47g3CA7O5uamhq0Wi0GQ2gEvRxyDrBhwwZKS0uZMGFCxMXkAoXKf54a9nV1dbF27VrmzZtHUlLSgOv5/X46OztpbW0lKSkJk8l0whXkmpqayIfrBYzOzk68Xu8pPbwNJjZXd/LWi8/QY+th3KwriXL18Mmq14iKjiY6OgaVSkWv20Vx2SK6GmpwtDYybPgI7HYHs297AAitTo426jA31aNJyyMtTsMuc7/EQjTQhdsO+qf/l03MkYhwnlEjVR8tR+Ong/Ho3CLFlHzwvv0+H8PUHt567UWScofz2+/fKy2rqKigpKQkZJ9vrFzDG6+8SN6wAppbzOTf/GOiYtTSeYiKargmwOAGtuBIaAgQyLoORwghlTfZyT2gg68lIFVu5U1zxaZ4qSIrpChyorvyQBMW8xFsXe3kjBwv+SsL8i3s48T5ieu6qiLUu1Vch/yj7hGigiy0wnLrNflyOUGeWWhQEG+BtDgNpbmG04qJBmhoaMBgMJxw2ILT6aS5uRm/309WVtYF4TQTwdlHX18fVVVVDBs27IS+5+12O1arlbS0tBBJzolykjOFtWvX8t5+KyuqT/yPrTjJx33jvFx77bXo9eGTTiM4hYrx+QZhA5ScnCxVkBMTE0lPTz8mQRZa6QgpvnDhcrnOmyf+g009fLr2Q/bt3MK0WVfQUFPObQ88QkbOMOqqA4Rl0vTLmLPwNhx2G8/914+oXB/wBR85dgJul4vDVQeIlTVayaf22xy91FYeZGRaXkg1WDRnLSpJDyGvcsIHAdIldMsrDzRRVmAiP0VPbrJWkm2ICurj66olEiiqogJ+v4+db/+NdXWVjCgu4dt33qY4TkxMjNT0C/2+uUsXX8OESdOwWjp58vFfojq8HYqmK84j+PzF+cqrpoJwymUWQEi4hVwbLM5L8oGWhaCIyrJYR1Rlw1XL39jTwtLSDClMxOLwUFZg4pCjkfr08UDgAWVrfSB6Wi5hkPsZH6upTpyjeHABoKN/H/NG9j8shrNeE7MIE9KNlOYaQnyMK80O8lL0p0yQMzIyqK2tPS4xdjgcNDc3o1KpyMzMjBDiCE4KwqmipqaGESNGHFd//u6777J06dJI4+YFjgueGAvICbLQICckJJCenh72j6G5uTmSlX6BQ8SUnw+oq6lk/erXiYqOocvcSMn4Kbz89ON87YGfEJOSzaWL7mDq1OmooqKIS0hk3g23s/btV0gaO5OOeCNat5UxV9/GQG1RMWo102bPQ6vrJ6jByXOrKswKMi3XD4NSgyq0x+tr2ygrMEnV5GByLGKhc5O1LCpJlyrHdVs/o7OukmV338u8+VeFECytVovT6SQhIUHxeqXZAbF6dh/8itSsPCZPn02sVi+dk5zIC8mDkDdsre+SqrQWh0eyOSsrMGFxeEIeGABJYyvOIc+oUTTiQX+Dn/w6LpuYo6gQi0q7fL9Z8TrJDcTi8KCLi2PxqH6NdMAlI3BeZQUmReiIqNDPLDRIrhkGnTqkQhycUieI9dryVqn6LCQXz99cyn2v7wH6HyaEC4dcHiLXOZ8q1Go1Go0Gm80W9uHVbrfT3NxMdHR0ZFYvgtOCcKqora2lqKjomPKd4cOHR0jxRYCLhhgLyDXIVquVmpoa9Ho9GRkZkvNEb28vXq83MtVwitjfYKG7tRGdPo7M7ByaWjvQxydQkjG0mhTOpzjo/OHFTJl9JQ01Fbg9fThsPcTEqFHHajjS60NfNJ4uD6TFBshKnaGYZd/7BZt7+rVxmTJSK5/mB9jx4QomXbWE8jDkL8+okUiwILQDuRcACtlEQ6dL2lYQ5nBNeOK1tDgNhqg+th+u4Obb7w5LiqE/VVMQY+FKISqx9RV7yB4xhlitnmJTvFS9LStQK+Qe4jqIxkK5Q4aA2KcgmMEkWR6AIchhfopeqjobdGppDMInWN7YJh4OBASZFUS31e6mbseXjBhditXpCav5HqiBb0K6kco2m0TerUddKayOQCKf0DfLK8dpcRpa7W7pPsofZIIhjwyXk3mAvJSwm5wwMjIyaGhooKgoYFvn9/vp6emhpaVFIjMazcBpiRFEcKKIj48nKSmJhoYG8vLyBlxPo9Gct05GEZw4zg9WcBYgd7Ho6enh8OHDxMTEkJmZidlsjvgWnwY2fvk5X3zwFn6/n6Vfv4+Xn/8jN95+L8bLrzjlbvUzDSGtP19cKUZlJdBz7VJ27d3Npndf4fJrlzLhypvwJ5ogjO5XFRVNWlYWyDSmwbKHYlO8VN3ML7sShywkR7wuCJhIxhNyADlRenBGPqW5BvY0WMNqiQXkRAuQGsHE689uquPBGfms+Pv/0dVYw7DCuwecitdqtbS3KxvwxHtry+5y6mur+eGyb6HR6hThFutr20IcNKCf4IkKLSDZ0wnSmC9rVhNBF8u31SkeFjY3WhQNboDUwNdkczKz0CDdh2CyKddcB9vYTZoxB5VKJVWyBUmXa6WF7EOcU26yVkHwgz2MxXEsDg+luQYMuv4q+bOb6mjpClSTxb8CGUl66ZoFCHeSRLatTo9E6Os7HBh06lP+m9doNERFReFwOHC5XLS1taHX6ykoKIjYZ0ZwxiGsaNva2gacSbTZbHR0dJw3M40RnBouWmIsoFKpSExMJDExEYfDQUNDA52dnaSknGa54yJDpdmBuamR11/8M/pEI2nZeUy//Bpef/FPAFQd3Mek6ZcNGWLs9XrPmy/X1Z9s5kjDYVyePurraknOyGXk+Klh9amCyAZbgwmZwuZGi+ScsL62rb/xrLmRzJx81PFxCkImd09osjmZnmNkek6gyimPkRbVRxFKYdCpFVVIOWEOJo7C2s1/1HB/1lWLef2FP9Bu6Rnwmmi1Wtzu8G4WX375OVNmllHX00dTc4A4isrwQJCHbhj1aoVjhbgW8gQ5gy4gQygrMLHhkFUivHnGfteK4DQ/AXFvFpWkK67L4+uqFVZoYly9bjefvv8W8667WbHf4PsvJ8miytvQ2SLpuIVbhSD5cteNteWtFJviJbmFHBlJ+mNWjcX64t9jXeeTgc/nIzY2lr1795KXl0dRUVFkGjuCs4rc3Fyqq6vRarUhMi2A4uJiNBoNfr//vCmqRHDyuOiJsRx6vR6dTkdhYSEdHR00NTWRlpZ2SrZBFxuK0/U4LRrMzY3Q3Eh0dAxv1z+Lp9dNXEIipVOmS8lsQwEnm8o4GGhqamL5G+9SsWcbI8ZOBKCxch9+v4+PvvyCtBHjgP5q50BewBAgzGUFJkk+Edx4llUwmoodXzL1srlAv+WWIIN1HQ4FYV5amiEdTxAsAUGKBcT6QjLw7KY6nlg4SvLQtTo9+P1+XKv+m9X106irOsjocRMomzpmwPOJiooaMLnK3tNDemZOyPXIT9GHSBAE+RV+xtBPMIW2V1yLyjabIlRD7nUMAVeO4AcCuY2aIJ5iuVGvlh4KBETVXBwfwOmwc+PS24iKilI4WTTZnFL1uaygn8wGEv2QZCubGy0hul9BYkv1BtaWtyrOb9k/tyuu0aNzi8hL0UsVYXG95PuRQ+6KEW758eD1ejGbzfT09JCcnCz9REhxBGcbKpWKwsJCqqqqKCgoCJHqpKamsm7dOsaNG4fVamXEiBGDNNIIziYixFiGvr4+bDYb2dnZqFQqvF4vra2ttLS0kJSURGpqauTD+RgYX5LPVTd9nZp926ivrabX7WbUuIk88L3/GDKVYgGXyzVkiXFrayu/ePx32CwdFI+ZyO3f+RmJxkCKXWrhGNa+8ix73l3OsJt+QGxiSkjARjiICrFAsE61yebEmZwNKEkxBKbghQ5VRBhbHB6JeIqq47GCOrLidTw6tygkNEKQxJ/PG8HPV0L5ri1kZmbxyE9+ilZ97IdRlUoVVu+XkZGOpbUJddYY6VzFOIMRLgZaQC6rCIY8/U0OcQxh9QZIlXm5pAOQXCfkeHRukWQRJ4i048hBskZmExsbS14KEpGVQ35vRbVb3vC4qsKssGkTsDo8TM1LCutVDLD8zsmK34MfegS0MeDyBojwqf6tu1wuWlpa6O3tJS0tjaysLFQqFXFxcTQ3NzNs2LBT2m8EEZwMoqOjGTZsGLW1tYwYMSLkO3/u3EDx4ODBgyQkJNDT0xMhyBcYIgpyGVpbW0lLS5OqwyLquri4mOjoaKqqqmhoaKC3t3eQRzp0ce/N1/Lfv/klM+bMB+CmW+8YcqQYAl/CQ83aaUttoEnt/57/B9k5w3jwsd+zYOlduNRxUpVwQukEbrz7uwAcfvMpcg2xClIsd0RotQcIs/iRQ1htTUg3khWvI7anA29rQ9hxWRwettZ3Udlmo+6obhQIG0E8EJpsTgV5E/uVV1+X3Hono8dN4He//yO645BiCGhQw/0tXjbzUnbv2CrpyOUWZgLi3OWQV1Tl5yYeAgTpl+9noHCS4GY48WAhJ+eiyU2O9bVtCoeHfYea6NWlUm52sra8VXKLkD+ABEscsuJ1FJviyUvRh8hWWu1u6joc7GmwUt/hwOr08PTGWlq6HNJPRpKe5XdOZuV9AZs7sX7d0fVF+Ik8RQ8C5Phk7dn8fj/d3d1UVVXR1NSEyWSiuLgYo9EofQ7HxcXR29uLxxNemhJBBGcaWq2WzMxMDh8+PGA8+Zw5c9DpdOeN5eeJoK6ujuuvv57k5GSys7P54Q9/KEnWdu7cybRp09BoNBQUFLB8+XLFtq+88grDhw9Ho9EwZcoUtm3bJi3z+/088sgjmEwm9Ho9ixcvpq1N+X0wlBAhxkfh8/mwWCxhjbmjoqJITU2lpKQEg8FAfX09NTU19PT0DPhHczHD7Xbz2UeryckvJFp/7EShwYLL5RpSHe2CFP/7gw0019cy5bL5HKmtwnuUDNR3Wvhs1x6+3F9O4chxTLvj+8Tq4/H7fCEpagJNNqdEfMVPMHGGAEEbXTScOZddDvQT1so2G5VtNnaZLRIx3GW2sPJAk1QdFvsTccTieKI5TA5589/Dqw+GNOo53F4O7N2F2RyaABcOwrItGCVFBTi9Pup3fC79fRr1atLiNNI1EMROuDIE24uJ8w1+XV4lzk/RKxwl5PIJefVcXCMhgxCV5GAsLc2Q7pOoJKtjY9FqlRIkof0uKzBJDzzB1nkQaH4LvsaiwVBAnn6XkaQnI0nPo3OLJAmEmA0Q11COcHrkE0VfXx+tra1UVFTQ3d1Nfn4+hYWFA8brZmRk0NJyYu+LCCI4EzAYDNJsxUDo6elh//7953BUZw8ej4err74ajUbDl19+yT//+U9effVV/vu//5ve3l4WLVrE5MmT2b17Nz/+8Y+555572L17NwB79+7l7rvv5uGHH2b37t1MmjSJxYsXS3kQzz33HC+++CKvvvoqGzdupKWlhfvuu28wT/eYiEgpjqK9vZ3U1NRjaonljXputxuz2cyRI0dISUkhJSUlYuFyFLGxseQVjqD+UBXxfRbgxNKrziX8fv+QuV+CFAMcrjpAj7WTfz79XxiSUnC7nNi6LYr1437wOxLTspl9/y+l1+SEVy6TCOcnG1zpbbW76evrY9/61cxfdLP0uqhoBjfgyf8V2mUBy9GpeQg4N4ipd1EtnlloUJC4ZzfV4Xf18J8Lx9HdaaaoeCQZqSeWGqXT6bDb7SGvq1Qq5n/t26x97Xn0xlRUw8dIJF4QTrkcIDj2WY7lOxsV1fZw1WdAkfInvz7i2om0PLGtOJ6cuIoqLwRIbV+fl8rNH3LHsrvY02CVlst9iMswhZBioY2WI8+oCYmiFpC7avx8XrG0//oOh/Q+arI5Qx52DHr1SVeIxeemw+EgNTWV4uLiE/o7TEhIoLm5WRHqEkEEZxvp6ekcPnyYrq6usEWz7Oxs0tPTw2x5/mHTpk1UV1ezdetW4uLiGD16NN/97nd58803mTVrFl1dXTz11FNotVpGjhzJ66+/zquvvsr48eN57bXXmD17tkR2n3rqKV5++WXWr1/PggULeOWVV3jooYeYN28eAL/73e+YP3/+gD7lg43IJwwBktTR0RE2YnYgaDQa8vLy8Pl8dHR0UFlZSVxcHGlpaUOqEjkYcDqd3HTnN9my/kOys7MHezgh8Pl8Q6aZckutFVu3hXUrX8Vp76GlMUCU0rPzyC0sxuV0smvTp0yeNQ9/xnA08YmoVFEh1msCrXY3U/OSJEIjGqoEgomb+Nfn62PiJZeF7AsI0qUmhaS/iRAPg67ftWHlgaaQMQqCKRrvHl9Xjc/SjHv93/j5p1rSM7P4jx9+/4T/fsJZtgksmzeJg/svof3QQUzDA1pjIR+RNwsa9WrpPMW1EQl4wecJSM13rXa3QqMtSHGwm4XcG1k03Int5Ml0j84tkq6dIKZ+P8y6+ib2NFgVumCB+qMOEwIbDll5cEa+pI2Wh3xAgKSLRDsR7LH4+c1hr18wsuJ1Cis540loif1+P1arlba2NqKiokhPTyc3N/ek/gZVKhVpaWm0traSlZV1/A0iiOAMQKVSkZ+fT1VVFRqNJiTb4OOPP6akpIT8/PxBGuGZQ0FBAW+//bZi1kar1aJWqzlw4AAjRoxQ9OWUlpZSXl4OwIEDBxg3bpy0LC4ujqKiIsrLy1mwYAEHDhzg4YcfVmzr9Xqprq5mwoQJZ//kThIRYgx0dnaSlJR0ShXEqKgoTCYTqamp2Gw2Ghsb8fl8pKamKnRyFwsaGxv54Q9/yP0/+gXffXBoTpW43e4h1Xi3ad17+Hx9FF8yl0kLUkjWqqmpO0xrwyEqtn0BQEu3jblXjFOk0gniWW9xKxrwVh7or+4JOYQgt8GVRFFp9nh62bd9M6npmSHV0OCp9AnpRqkBT5A8UREuKzCxvrYtLHHfcMhKbrJWCsTITdZSlJrMRxs13Hb7Hcy4dBZJiSfuXKJWq4+pO1Vrddg7WxUhFABb67tCmt7kBBYCRLff8UFZKc1P0csq6YFqrdwtAgg5pmjGk68j1wbLZQkGfeD/K974N+NmzAXUUsVZEHC5VENehRdNdqsqzJL/8IrtDpZMzmRqXpIU8BFOBvHzecUSYZZX+SekG0PeE3lhiHowPB4PbW1tdHd3k5iYyLBhw07LItFoNEoe80NltieCCx9RUVEUFhZSXV2tiI3evXs3M2bMCGvrdq6g1apJST3ximtiXC8Q3gYzNzeX3Nxc6Xefz8c///lPbrvtNrq7uzEYlLLIpKQk9u3bBzDg8u7u7rDLRfVdLB9quOiJsd/vp62t7bS7SlUqFQkJCSQkJOD1emlra6OiooKEhARMJhOxsbHH38kFAK/XC8DHq1dwxSVjB3k04THYVm1baq24XU5qK/ZhPlLH7s3ryS4awyev/ZkYdSxf++kfuOSSbLhkJiOnzuFQ/WFSC0aGOD5MzzECysqjQF6KPiTuV0Csn2fUKKrCcQkGnHYbECAv8uPJ/3+spjs5KV42MUd6TSC4UazeH0ufzsjn5fVcfdXJNUMe76FzVEocLb2JiuQ7OeTpdNDvQiEnhXlGDXkpevY0BIineDgoNsUrzkteeQ6G3L4M+q/fzMJ+bfDDqw8qIpe/M1bLpOmzSU42SGRYuFUEQ07QGzpdLJsYz2Mr9pGW2k9eV2xvZsX2Zimc49G5RZITRUaSnpmFBpZvq2Px6CzqZBIK+TkbZYR6IAmFSKdra2vD5/NhMpnIzMw8IwUClUpFamoqbW1tF8z0dQTnB9RqNXl5eRw6dIgRI0ZI3/fnixf+qeA3v/kNFouF73znO/zud78LWS5cgSDQM3Cs5cHWmuLzYCDLzcHGRU+MrVYrCQkJZ9SGTSToZWRk0N3dTX19PX6//6KoIosnztaWI4M8koHhcrkGVdd0qHwv77/+DxKNyZiPBKa7j1QHGjhmXXW9wgEhKzWdianpYQmR0M0Kgix3ORCkWEz9i6n4VbIkPLkueZfZgkaXSFR0NGlaTYjfb/BxxfHk1UR5NRtCo5QlqcBRMrq+to0Nh6zETruJQx8/y0djCrlq/hXHvnhBiImJGVB3mhQfy86julRB7uQEVYxDLisRFmkCy6bkKx4wLA6P4rzk+l75PRIpdPJjymUYAvJqryDFAA6vH5XHTzL9103ynD5KrOeNTJPG9sTCURLRveXP/fKIqcOTaeh0haTYPfRm/7Hk8d7B8hG5REZUmMOR4t7eXtrb2+nu7iY+Pp6cnJyzIilLSUmhvLxc4R4UQQTnAnFxcSQnJ1NfX09+fj7bt2+nsLBwsId1VvD222/zxBNP8Pnnn6PT6cL6xvv9fulz93jL5SRZLAOGbL/A0BzVOYTZbGb48OFnZd8qlQqDwYDBYMDj8dDR0UFFRQV6vZ60tLQhNZ1/phAdHc28hTeiUg3dqU6XyzVokZ5fHGjm/X//nenX3U5uyTgsrc20N9WRkpmLMS0TlSoqbKU22HdYXrUNbhprtbslMiacF6Cf9OQZNWHdKZJMGXz24UquXHyrgvCK/Rt0amkfYlximZAWyIMkxPR/sHxDruVdPDoLj93Co1/qmDFz1olfyKMQzhThpjNnz57Nlxu/4oV//JVR85ZINmZivGJs8mu7vraNZVP69YJWmdMEIFWUgyGvHgsdLwHFiKRtNujCV46XluoU7ha2w/t4plnP43dcGRjD0ePJ77k4RrCkQR7fLOzW5Ljv9T0hEc8DYUK6UXIoETIOg06N9qi2WGiHhc47NTX1jFWHB4JKpSI5OZmOjg5SU1PP2nEiiCAcUlNTcTgctLe3c+WVVw72cM4Kdu/ezbJly3jhhReYMmUKEGh+7erqUqzX1dWF0Wg8peXi/2L5UMNFTYx7enrQarXn5KlFrVaTkZFBeno6drud5uZment7L8hUp28tu3Wwh3BMeDyec/6k+sXBFl76v8fp7jBTOG4quSWBRgWH3oi+yIgTcAY5QAhkxetCpumDgymC3ScE6ZPrUYUOuazAJL0u98SNiorixqW3ERMTIwV5iP2Hkwk02ZxMzUsiL0UvhU48u6mOmYUGqUosJ4LBUcZiar78cBOJSSkk6k9ebqTVanG5XGGJsV6v565vPcgvf/YfZI+dBhm5Cos5UQmt63CEPHgIOYiQMcir5PKHDvn6ecaAHZzVEUqcw1Xg0+I0lOYasMpS99Ljo3ngtR6itfGKMJTgNLx6mZ+0HK3tAdK76dH+yvt9r+/hiYWjMOjVklxDkOMlkzMBWWVYr2ZPg1Vxv8V9EgTd6XTS1taGw+HAYDCQn59/TqeUTSYTlZWVpKSkRKrGEZxz5Obmsn37diwWCy0tLdx000288sorXHfddYM9tNOG2Wxm0aJFfP/73+f222+XXh89ejRVVVVSvwDAnj17mDNnjrT8s88+k9a32+3U1NQwZswYafn27dtZsmSJtK1GozlrRcnTxUVNjFtaWs55N6lKpSI+Pp74+Hj6+vro6uqipqaG6OhoUlNTSUxMjHzYnwOc62vcUFOBz9fHZQtuJGfCzOOuLwiynJAFB0IIwivWFc11grzJG7QE0RNVQPk+BIpN8bz92kvccOvXFdG/cpsx0VQm9lfX4WDVxn55BvTrZuVVZzF2OaEXfr4dLWYMR5P9ThY6nY6Ojo4BlxflpHLtddezf+enJF69DJCT1CSFO4XA8m11UnNjcCiJHBaHR4p0buh0HdVPW3ljTwuPzi1i2ZR8lm8LSGXkDYuCEMshSOmh+ia+ltfH622B9+eeqnY62nvYU9XO88smh4wVYMR9r4aMrfgHK6l8ajEzHv+EjvYepm6qZdm1o/j5vGKeWDgKCDQhivfH+to2qaIe/OACcLi1m9g+O3azDWeintTU1JN2ljhTiIqKIjExcUDf+QgiOJtQqVRMmDCByspKLrvsMjQaDffccw8VFRWDPbTTgtvt5vrrr6e4uJgHHnhA4RteVlZGamoqDz30ED/96U/59NNP2bhxI8899xwAt912G08++SR//OMfufrqq/n973+PyWRi1qzALODtt9/OY489xqxZs8jOzuaRRx7hxhtvHHIhWwIXLTF2OBxER0cPalOcIMOpqam43W46Ojpobm5Grw988QRbw0Rw+hgsH9TOthbyCkZQMO2KAJmNZUDdsPhXHsghSKVcpypfV4RRyKu84fYvpvXFevJKZqI2hsuuXjqg9EFOzAVxXFVhVjTU5SZraeh0seGQVSLP03OMUnOaXJ4hiHFLWzvZmWkncTX7ISrGx8LYqZex6p0V9NbW880rJktkN5w7hSD1ct2tQFmBSaqOi+3C+UQDPL6umkfnFkm/C7/nYEIsXCIAjjQ2UllezujJl/Lpf32Mpd2KMdWApf2oBnn5dgA62sN3lQej+AcrFb+/91UgHjo3WcuiknTF+0m8D+RV6MrWbqZkxFJZF5DP9OkMTBg5En3s4Muk0tLSqKmpiRDjCAYFMTExFBQUcPjwYUaMGCHZEO7du3ewh3bK2Lx5M5s3B/oTgi0RP/30U1auXMn999/P+PHjyc7O5qWXXmLUqMBDdmlpKS+++CKPPfYYjzzyCOPHj+edd96RZpIeeOAB6urqWLZsGQ6HgwULFvDMM8+c2xM8CVy0xLilpYXMzMzBHoYEjUZDVlYWmZmZ2O12WltbcblcJCYmkpKSctF7I58pDIYjxXsb91PfcJjD+7ZzYMcmAMbNupKEERPQJx1f6yxIsFxvLCrIgEIfK2QS0B8NbNCpJYu0eoubrHi3ROjktmJul4sN695jzoLrFZVeQOH9K/Yrd26A/ka15TsbZRVUAAubGy0sm5gjkeHKNhvzRqaxtryVmFgNhw7Xn8KVDd/0EbJOdBQ+j5umw7Us35nO9BxjWJcKeSNdcIS2GLNcDpIWF3CseHRukSIIROxHNBcKaUmwHlg0zhmORit7Yg0MHzOJKd9/U1rH0m5l+MgcOtp7QghxSmoCHe09GFMNpKQm8J9LAi4wj63YJ607amQ6Hz44naue3Uxru4M9Ve20HHWrEHHRojGz1e7G7/dzSZaGT/fVkBijYocrDp8mGaJimJp7apaWZwMxMTHodDp6enoG1S4rgosXOp2OtLQ06urqGDZs2GAP57QxZ86c4yb5bt26dcBld9xxB3fccUfYZVFRUTz55JM8+eSTpzXGc4WLkhi73W58Pt+QLOPLpRZ+v5/u7m6OHDmCx+PBaDSSnJx8QVvEnG24XK5zft/XrVmB22Enf8RoXA4b5iP17P3yI/jyI3Tp+WhTc0jQRFG/4wtyJ86i5PLFQL9Lgvi/wLEcI9bXtkkBFYL8Wp0efj6vmOXb6qi3uBXyDLn2uMvuYuL02WH3L49Qtjj67cwESbY4PFIQxUOXFmB1ekII8uPrqnli4SgpaW75tjoWDU+kxt5G3YEdHDZbGZZ+8hHiKpUKv98/4LR+amLAsD45Tn10PC1SEIa4DkLPO7PQEOJBLEfwA4P1qI57UUk6+Sl6DHo1WfGtvLGnRSLI4t/FusB9MeiDHTICKXfr3n2TK6+/lWi/lz5V4KN5+Mgcnl82mVa7m8dWBDxDP/jBZQoJiJyszxuZxrxHr+C/1lYCAfLr8sLyOyez4KmAJ3Zru4OGJD2rKsw8dGkBfr+fvl4nBo+VwzWtGAyJ9MQYsETFQB9MSAhcPyGv0Z5gsMfZRkZGBnV1dRFiHMGgISkpCYfDQWtr60VjyXox4KIkxi0tLWRkZAz2MI4LuauFz+fDYrFQV1eHz+fDaDSSlJQUIcknCafTec672T2OHiZevhifKWBlN9LpoG77Z9Rv/xynuQ6nuQ7Rr2vMHiZtJ3eOkJM1eXhGsC9wbrKWlQeaQprfLA5lbHBwoAVAU2sHtu5uSMxQrJcVr1PIDuS6ZPk+5FHHAA9dWiBVqsVYVx5oYtmUfKlZb/nnu9n22Seo1Wr6nD3AyRPj2NjYY4a2qFQqCkaMZGpROu9aAq/Jo5jlsgm5I4XQB8vPVVSKRZXV6vQotLgQ6hIC/eR42ZR8qTlP3iDZUFvNvEU38/nH7zHf9wEzr1jA1TfcKjUHApLGWCDY8SMtTsOeBiuluQZJ6rLLbJEekP59/3TJyq2ly44h2stbm/ZwWW4cfb1RxOiNtPfCnjYXRA39r4bY2FhiYmJwOBwR2VkEg4asrCxqamouSJepixVD/9PvDMPj8eB2u4dkPvexEBUVJTlY9PX1KUiywWCIVJJPEOc69W5LrRW1PpHWhkOUFhTTZHOi1ukpmnU1w6ZdwaGGJqJi1Kii1RRm93uzCicKQcTCNd9lxetYVBJ4bXOjRVGdtQSRLyAkja7V7lY05TXWdZCYlIxep1PINAQhn5oXaFYT2lQhi5BHQbfa3VLSHgTS1ACpgrnhkJXFoz2SjKKnp4Oi0RP4xc9/NmBoxPGg0+lwuVwD3tf0RDWZOfm0mZt5sGwyu8wW6i1u6VqJf5+/uVTaxurwSJV3IXUQFVNRGYb+Kqq0jsNDXope8hWW+xSLc5dDIscdbWzd0MyXn3zInKuu47MP32XY9KvINAQ+p+SaZkHGxe+AgkCLhw4h7RD3Py9Zx8t3lfLch7tJ09kxGWPp8mt5rV7Fsok5IY2Gwn5vKCMzM5MjR44M2e72CC58qFQqCgoK2L1792APJYIzhIuOGJvN5vM+NSk6OpqUlBRSUlLo6+vDarVSV1dHX18fBoOBpKSkiCZ5APh8vnOukxw/5xo++defyBg2ApL7mxpiYjUUDy9QrCscJtLiAiEb4vdgRwf5OnA0oc2oYcMhKw2dLikaGAipaMohb6IboY6iMCXguW3Qx4c04YlKtAi5EJ7FghzK09+kJr2UAMkU1eOGThdPb6zl5/OKmZqXRF+9AXvj6TkbCC/jgWDu9hCticNiDdTlJ6QbmXD0I0BENQ+E4Jhmi8OK1emRPH3DXVdBoh+dW4RBp2bZlHwpvENezYeAF/C7r/6NI4eriFWr+c4PHubVl14AIEnW5CZv8pPfF5HeJ+6BuO7SDIPfz4GmFobr4XCXB7VGR5UFNjSrKI1Wk5sc2K9cIy0gl9wMVWi1Wvx+P263O/KZF8GgITo6WqocR3D+Y2h0Upwj9PX1YbPZJB++CwHR0dEkJydTVFTEiBEj0Gg0HDlyhPLyco4cOYLD4TiuoP5iwbF0qGcTo4qKKJp4KZ+89mdcPZYT2kZeGZZXbUXanFxmAaExzQ2dLt7Y0yKFfdR1OCTiI68cy/fjjkvC7/ezdetWbD090nL5Outr29hltkjhHYIYBkcWN9mc7DJbFJ6+IiK6odMlvZ6Vk0dTU+MJXZOBcDxiDJCojQKU9z64ur22vJU9DVZpbIYwjhNyV4ngoA/D0YcE+etWp4fqw40k13wMBKrGu3bt4oN3/k374QO8/a+/01RbzsS5i7j2/p8xZVwxj/7i1+QNK2TNy89y4KtPiI/tH7e5s5uKPds5cjigia7rcEjXXiLPfh+d1k6MvR2k9LaRrvbTrdKTlFVATm4ey++fDaho6XJID1QQOqMASG4n+Sl6DDo16UNEXyxHZmYmzc3Ngz2MCC5yRB7MLhxcVBXjtrY2TCbTBesTHBUVRVJSEklJAYLT09NDW1sbTqcTnU6H0WgkISFhyHSWn2sMVlXpq0/XsG/jx/h9Pty2brQJRomEyKt0wd7Ffr+fhi4r0epAU4e8aiy3a5NDPnUP8MaeFikcQuxfHFvojKfnGNncaJFenzLzct77YDVlZXPRaPvDReRjFjKPqXlJ0ngE5OMKjhgWENKDaF0CPd1WzOYW8rNPTfcfGxtLb2/vgMsNejU1leVMm3GZQloi9NPySjcgVYPlUdDQnzKXl6JX2KwJCYUccinLF59+zJG9X6EtnIev6SBvvf8BU6fN4G9/eY4xY8fxm//6b7LT+3Xver2eh/7jZ+zbvYMNn33K7q++4LIrrqKppYVtm74g2ZSBpcOMKW8Ely6+g8zEOPB5qW44QiJu8Pux+qAnxkB6YgJ9R/drDApQEWEgEP59GO46DkXExcVJDcoROVkEEURwurhoiLHP56Orq4uRI0cO9lDOCVQqFYmJiSQmJuL3+3G5XHR1ddHS0kJ0dDQGgwGj0XhRfZEcS4d6NrClNkBQa6rKmXXD19HkjwbCV+YE5KRy46t/wtNlpuzB30hT4/Jp7YEIjPDPFU4Lz26qk8gxIGmRZxb2Vz/l5Dgr3k36xFm8/8UXlAwfgTsuiax4HWUFJtbXth1dp//YIrRCPn55uIUcwudYSAsA0MRh6eo6ZWJ8Ig+6fl8fvhiNIu1OLguZNzKNPQ1W6XyCZSRGfT9RLk7XQxBJFGRaOp7fj9vlBL2BJnMgMtn96V/A00tW2VIe/Pq1wH0AIdpqbQzkpyWivWQm18ybw8fr1vPVli2kZ2TyzQe+y8wppdSZu/nLn5/hwIf/oiVvBDadCbRxzCrKRRUVjf2oDEf+fhEaZOGHnJaqlxL/wr2XhKa9ss0WsP0bosQYID09HbPZTE5OzmAPJYIIIjgLaGlpYcWKFWzatImqqiqsViuxsbGkp6czfvx4rr76aq644oozUvi8aIhxZ2cnycnJF2y1+FhQqVTodDrJpszr9WK1Wqmvr8fr9RIXF4fBYCA+Pv6Cvj7n2qqt1e4mVadGp4nF2+smXK1aWKU5utqpqWli+PhLaLI5cVo7cbYcZvoV1wBKwiyqm+EqxlnxOonUPTq3SCLHwmqt2BQvVZQDBN0ibSf0xmK/OSPH41LHoqI//llgc2NgO7kDgzwZb215K4tHZ0mVYeivOCpIMdCnTzlmet2JIDo6mr6+vgGj1bNzcmlurMM6doIi7tp4VDtsdXikpjpBkKG/0U7ohi0OD+ZuT8h5CUmD2G/1gV2sXP4nhhWV0NwY8Gi+c8kirpg7X5qxOV6zoZAtXDnvcq6cdzl1dXU0Nzez+v2P8PS6mVg6hubGej55+18U3PJjYvw63q1ql6KphQZcIDg6/D+vCZjzy0mxuJ/hQl4MOs+QsWoLRmJiIs3Nzcd8D0QQQQTnH9ra2vjJT37Cyy+/zJQpU5gyZQpTp04lISEBl8tFe3s75eXl3HnnncTFxfHb3/5Wip4+VVwUxNjv99Pe3k5xcfFgD2VIICYmRmre8/v92O12rFYrTU1NREdHk5iYiMFgOG81U3a7nQ8//JC5c+diMPRXRZ1O5zlNykqL0/DSH3+NraebNnMLpRkFaOINpPq78bhd+LweYvXxZMbl8cbzf8Jl70GXYMBvysPeEYhZ7rZ0oeowE5cS6BYLbsKTh34ImYBYR05uHl9XLVWNBWFu6HRJU+hNNidlBSaW72yk3uJmUUk6XxyopKXmICOmzQECsoiseJ2i4r2+tk2qOoaDFGKh65cdCPcHQSzfcZZwqLaOK+bMOuVrLRLw4uLiFK+7vIF/x4wdy8qVq7h8QcAjWpBEaVxBFV8BeaOd/DVAQY7l1msAMyaNZ+VySIzTcffPf0lBYWH/WE/wU9fn80l/mxXVtezeuQ0/KlSqaKI1elT+Ptp73BSPm8zV44axpqZT2lbMLojzlP8rIN4nwm0kHKbmJYVoqYciVCoVJpOJtra288KKM4IIIjg+duzYwZIlS/ja175GXV3dcf+2P/jgA37zm9/wySef8Oyzz57ycS8KYmy1Wi9qbe2xIA8UgUA1ubu7m6amJkmTazAYSExMHJQo5ZOFx+Phmef+wvYtm3Ci5fYbr5GW9fb2nlMT9ob2TtqaG4mKjkGjj+fLFx4nKkaNz6skGptk/1/7sjIm88COTYxKziYuJV2qAobTF4uoZwFRVV5amsEbe1oUr7fa3ZKkQVSsg7GqwswITQyzFi5id2t/BTUtTsOiknSMerVEoustZmkfcpIsmtHE/4Gwv+fk5bN104ZjXsvjYSBiLFBaOoE/P/s0KRofHWGInkRqZYVr4fggH7dYV0BOnC0ODz3WLt76x//hsnczesxYbl92F5mZ/U4kxyLFfr8fp9NJd3c3XdYe/D4fhsR4DAYDW3btwxebzPg5VwPhnSKC76N4TwRXf+VotQe8jhePzmJrfcC1IzjmOi9FH6K3HopITk6mvLyctLS0yGd9BBFcAPj00095++23mTBhwgmtv2DBAubPn89vfvMb6uvrycvLO6XjDn2mcwZgNpsjPpcniJiYGMkvGQINa1arlcOHD9PX14dOpyMxMZGEhIQhNWXZ0tJCRZOFZ3/7C+m166+aE7LeuZSK5CQbWbD0LtatfhOOOoP4vB4MWfkkZuSRlpLK4aqDdBwuJ96URcG0K+is2MGR6gMkGJJIHzcDU9EY4pLTgP4kPHmjWDjIPYblyE/Rh91WVJshkJS2y2zh0x1VNNsaGTW8UNIWy2FxeCTpBQTcFnKTtZQVqCX/32CI6mpdhwM6+qusXo2RhoaG07LS02q1WCyW0NePfsLtrawgOdXEzj37UcXqaDK3ccn0GSEuEgJGfb8vsDwOO5xtHgQIcmftXtasWoEuNoasjCIefOj7GOPDa9pdXtBEB2zGuru76enpwdXrIV6vw2AwUGwyYbfbqauro6uri0OVByk9SorlOJas5njL5a8JUtxqd0uyG3FeBr2avBT9KftMnyuoVCqSk5Pp7Ow85yE+EUQQwZnHj370o5PeJjo6ml//+tenddwh/lF3+ujp6UGn050X1c6hCI1GQ1paGmlpaYqKVnt7O319fWi1WokoD9Y1Xr9xO3/64++I1QRISMmY8Vx/292K6uFgaA9VUVGMnTKTdStfY+z196JNMIQ4TySNu1Sh8WxLz+BI9QGuXLIMq1HZSCTXD4vqsFzCIJqoBiJDD68+KEUyB4dbCFhb6qhscOBsOcTwS8sU1cN6i5sJ6Uqv3MWjs6R0u4ZOF8t3NrKoJCD7KNUbyEvRH9XshlYcxblk5AwjOiaa3fsOMrF0zLEu6YAQFeNgCCnFn57+I3a7nb/+6Sl8Pl/g+B1tzJxdhjc61CtajE1eNRaV+mJTvORMIdat2LOdT1e+wu3Lvs70GTOJ00RLxxYQTbA9PT10Wbrx+7zS309eXl5II+xbb73FmjVrSM3IZtiYyUydfAlR0dEKyUzwPRYR3cI6TzhvDITgBj1xv+WuGvUdDsmRY6jDZDJRWVlJSkrKBd0vEUEEFzO++uorLrnkkrO2/wueLZrN5lMup0eghEqlQq/XS/Grgij39PRIFWWNRkN8fDwJCQnExsaeky+n1//1EgC97gAxGjf5EhIMRsU659qRQsDtcuL19BIbF5CqDFTZkyzaDCbyJ89hh12DGjfTc4yh0c1hCE+w04V8mZBNCOTLktkg4FohCDOaeMCBYeR0AIXPL/RPzwtCvrU+UGVeVWGW3C5WVZglz2I5eSzNNSh+F1CpVKRl5dFqNgOnRoxjYmLo6+sbcPniG2/iX/98iezsHG5fdhe/ffw3bP/yYzatW01Sejba2Fi0xhQW33I3gBRtLfyajXp1v0REF9AWH263U7VvB5s/eQ+n3cZ3vvcDRo8ZK1VWY6N89PTYsdls2Gw2fD4fWq2WhIQECgvy6VMFSGhwJfanv/g1Hrcbm0/FiNnXsvja62m1uxWkWEB+n8X7Ivg9FuwYIrDhkJWlpf3bC821PLBFnO9AqDQ7Ai4dQwRRUVEkJCRgtVoxGo2DPZwIIojgLGDp0qXU19eftf1f0MTY6XQSFRV1TnWlFxPkRDk9PR2/309vby89PT00NzfjdruJjo4mPj6euLg44uLizrj2z9zt4bqbl/HvF5/DYQuEUlx/5eyQez5YxLjd6cHv9x3zAaHJ5pS0vipVFCPmLFR4DQ9U9QtHssV+5MuWTcyR3CkeXn1QSmQLJsxGvRq/Pxlt41rImH6U6AZ8kEVjnoBwnxBuFcsm5rB8Z6NEjpfvbOShSwsCWuKjul155VGQO1F9dsXG8f6HH1NeWcm8uXPJzMrGbreRm5l2QtcZoM8HTk/4EJcrr7qazMws8vOHYUxKIjk5hc7ODlJSUmlrrEWj1eI5XMXYH34Xt8ulkE9YHB5FZV4Qx/2b17H583XcuWwZpeMnolOrsHV30ma343A4pL+PhIQE0tLSQmYs+oIqygLNDXW49CZQqRhdMgFQaopFFTu4ugvh3xOiEi6Wffuq4Tz3YY1iv3JSLKrR4t6kxWnIp9+ibk+DVSHJqWyzsXDsid+ns4309HRqamoixDiCM4ru7m7ef/99Ro8ejd1uR6VSUVJSgsFgoK+vj8bG0wsqikCJm2++Oezrfr+fzs7OsMvOFC5oYtzS0hLpUD6HUKlUaDQaNBqNpPETaYPd3d00Nzfj9/vRaDTExcURHx+PVqs9raryK8v/zpGGOuLi4rly0U2sefNfdLlUpAc9C7lcLoVDxblCq7uPqBg1Bp8bfYKRrR++SW1MNsNGjQmbOCaI7UDxvFnxuv64Xxnkel+xD/G7nNBCv0PFQ5cWSFVjIbOobLMx8bIryetTSbZuu8wWKcZYWLwFE3WDTq2oHAsEB18ACrIscNmCG/n3O+9irrew+de/PGq/5uXR3/2JsXlJuLwDN665vFBfd5iOzg4yXU50utAKZlRUFOMnTJR+/8//eYLPPl3HyrdXAAHJkNvlYvfOHTz1+yeYc9O95I+eqIjdBpidn0L53p3s+moDHa1N3HP33aSmJNHSeBi1Wk18fDzJycnk5OQc93090PlklM6grqGZ2CnXo00whFSJBXkVGEg6E+x9LSr9K7YrU+KCLd2e3RTqP/3EwlGSZd1QR0xMDFqtFpvNJjUVRxDB6eDTTz+luLiYm2++Wfq7bm5uRq/X87e//Y277rqL9vb2QR7lhYW1a9fyz3/+M+Rv2O/38/nnn5/VY1+wxLi3txev1ytN+0cwOBBhIoKUiqqyzWajtbVV0oVqtVqpqnwyZHnnlo24XU6++YNH2fjph1x7/U1h13O5XKSnp5+ZkzoJZCfoSS+ZwJY1r9NYtQ+A2EuWSpXVYyEcARa/C9Ir9vHEwlFYnR6JBNdb3FJoB8CDM/IVhOfZTXU8f3Mpz99cKvkKi5Q6b3MtmXExzCzMY8MhKxsOWZmQbpSqwgEnin43CyE3yE/RS2S7odMlkW5hEyfX5crJXlqchtLcNN7aPwO/38/wjCSKS0axb9sGXn/pz4z62cNAdFhyLHS8zz79v8TH6Xn1lZdZdMMSyi6fO+B1bWtt5bP1n7B/315+/7/P8p37v0G31UpiogFNfMDO76v3X8ePn0nzy9jV7CWmr5dUexOf7HgPtVrN1MnjSUiczfARxSQb4s+ofv2BJVfxo0d/RSxI139moSHEYSK4kVI0UYpGySabM8TGLytex0NzCnlsxT5pO2HldjzSKw/4EBXmrfVdNNmcrN7XKlWNj/UQc66QkZFBQ0MDRUVFgzuQCM5ruFwu3nzzTW666SY0Go3ieykzMxOAb3zjGwBMmDCBtWvXDso4L0SUlZWRkJDA7NmzQ5aVlpae1WOr/P6j7fLnGbq6uli7di3z5s0L601bX19PUlISCQkJgzC6CE4GoinJfnQK2ukMkD+NRiNJNXQ6nUQ+zN0eKfxgW+URnnvy1/RYLUTHxPCb3/0fI3JDO9IrKiooKSk5dyeFLPmuoZG3nwl0yZZet4yq6IDmPVjKIE+ig1BiHEyGg/chCKi8apubHJCP5Bk1LJuSrwjXyE3W8vN5xSzfVidVh2cWBhoE8zVuiobl8M/t9dIyIcEQzXbyqrT893CEX0RVP39zqaLyKKQV8nGJ89DH+Fj+3B/o7fVy1fy5lF0xF51a+cDk8sLmjRv40zP/S3Z2NtctvoE//+kZnv3zX0lITAwZh6Wri+8+eJ/0+/J/vY7dZuOT9Z/x0XvvkJGdS0ZGJiOKCjmwby+5+QU01NXS0dFBrEZD2RXzmTVjGu6+wDjOJAH0+/3YbDY2btzIcy+/SeKC7yi+iMW9XDYxR2quC26eA2VcuNwhRDhPPP3ZIVrbHZSOSFUkIgKKhyd5QIz8+AAPXVog7TPYS9ugU0t/n4OJmpoasrOzB0VCFcHFh+NxkjONtWvXsq7GwQctJz4rUhDXy235PVx77bWRouExcEFWjPv6+nA6neTm5g72UCI4AQQn88HRSF23G6fTidVqpbm5WbLz0ul0dHr1aLVaJhVl8pNf/DeP/ugBikeOJjGMXGKwnv2mFRj40U8ew+vpZcTYSUy59muoNVrSZLKIS7L9VNbW0FZzgLUrPwa/n5SJVzDx8lBrrmB5xbKJOYqp71UVZqbnGKX1whFUeYVY2s+UfDYc6n9t3sg01nzwEdnpKZQVmCRi/Pi6ah6dW6SoHMshfs9N1pJn1EjbAdL/73t9D8/fXKqoPgaPB/p1tNff/T22fLWBDz94n9pDNdzzzfsUZNRsbuFPz/wvAMOLitm04QtKx08gPiEBr9crOaWIbeLi45lTdgXGpCSmz5hBd2crTqeTkqJhsOAatFodY8eNQ6vV8u7KlWzcuJHb77yLu75xBVqtVtrP8QjxgQMH2Ll7L5UV5Xi9Xvr8oI6OwtXbR1trM7m5+cy7ImAnuGP3fg7XVtPe1oavrw9jcgrxk6+lfctqTJdcJz38iPu5fGej9BASXBEOvh9b67ukNLtwNnMQ3oLuiYWBVDw5OZa/n57eWMuyiTkUm+IVD28iYnsoIDMzk+bmZgoKCgZ7KBGcx/jrX/8qVYUjGDycS2nsBUmMW1tbMZlMEbue8xgqlSpARLRaxdO3eOhxOp20t7fjcrnYd7CKadOmMWnSJKJ7rdjtOrRarVRh9ng8IVZY5woNhyqIUavJHTMFtUZZuTrU3Myed/9Jd0t/d23huKn4i6cASBXBgfTEQjYhQjxEs9zMQgN5Ro1EpkSlT8gY5Ml3VkfApza4OpiTm09VYztJKamKZWIqP5iky0nysok5GHRqygpMA2pWBeSk+PmbSxVxzIHQDDWXzixj8eyp/NdvfsHd3/gW0P93nZQQqHro9Hpstm60Wi33fPPbfPnFZ7zw5z9x8223M2dOGe0uF95eJ263m3lzL4eoGGKiY1Cr1Wj0iaRl5VE8st8RY9U7b2E2t1A0opj5Vy0gKirqpKrDq1at4sCBA9xw+70kJcYHqsEuD/j9JKWm0dpQw5q1n9Hr85OeV8S1N91JTHwycfGJrKow07j+A4kUC4cPOUEVJFVcWzHbEPx+EVKacKQ4N1kr6afDNe2JgJYHZ+Szy2xRPOg0dLp4fF21RNpzk7Vkxfe/B9ITz72ePxh6vR6v1zuof/8RnN/o6uri1ltvHexhRABceeWV7NkTWkQ5G7jgiLHP58NqtZ7zafMIzg2Ey4VckP+rX/0Kv9/PN7/5TTweD11dXbhcLsm+y+fzSZ2sGo1GQZrPJoRfrq/PR2NjHSOnyZb19bHjzb/g6GpDZ0jGae1k+MwFFFwSqo0NR47lCGfDFSzLAAaM/Q2XahYbG4s3OvDxYHF4JAL07KY6Hp1bJPnlCljCaIfF7yICWk6Cg6vEz99cKo3DGKRltTg8pKSmEh8XzyP/8X1uWrJE0p0lJCTw0ksvUVNTQ82hwxiTDJhbmtBqYlm48DoMiQk4nU60Wi2pyQZJJyi0ydoYQvyGtTFQMnIUt9x2O9defRXa2OM7qdjdfZQfPEBNdRU11VUcPHCAW+68lxGlUwEUNmgAaRlZjJ16mRTEMswUr7huhlHTFfu3ODwsLQ1US+RJhgKCtAr7NfmDinAPEQ8qAsfSudd1ODA6++9lVryOR+eapPMIriIH/rUwPcdIq93Nllor0woGnxynp6fT0tISmT2M4ITx17/+lTvuuIM333yTyZMno9PpIk2cQwDncub3giPGHR0dJCcnR6rFFxGWfv1+TEmGsK4Tfr9fcsPwer3Y7XbcbrdEmqOjo4mNjZXcNGJjY4mNjT0jYSVRUVFERUXj8/tor9rDvoP7iEs2oYlLpHzdWzi62kgvmUBSbiHla99i0iWz6ZJtP1AwQ7B/cb3FLTXfCcIyId2oqPBBaLMWBBru5OsJQrVx82bmXbNYmqJfVJIuVSeX72xkeo5RQYaF9EFu9SUR9lql1jWcdCKYFIuY5S57L36fl85uH3c9+CNaGuvYvHmj5GqiUqlQq9UkJyeTlZVF45FmcnLzGVZYxNRLLlUcQ17xDf6/nCgDjB87ivFjR4WMMxhOj5+O9naefeb/sFqtJOeNwJQ7iq9dcT0TRxZK5wGh0coGnTpsuIbHZcda/hXjg+Q04kFkaWmGQl/candLZPmNPS3SDIEIWpG7aoSDeIgKfr/kpeixOKyKYwtyL6rIAuJ9MzUvSXoAGwoexwkJCTQ1NQ1KwE8E5xcqKipobW2VZBN33HHHII8oAjnOJae7oIix3++no6OD4uLiwR5KBOcQN1wV2rUqoFKp8Hq9mEwmhYZZoK+vD7fbLf309PRIjiZi+5iYGGJjY1Gr1Yp/Y2JijuvL/B+//n+UV1RyYMcmdrzxZwAKLplHW3XAFWDk3BsoX/c2AF2oFaRXkB55RViQoeAqsXCGEFhVYZb+39DpUkgf5NsGkyEI+NROmzknxAFBLsHIMzql8YkwDEAKwwiOpF55oClIruHnt1eX4PV60MX48XiceHp78Xh66eh24Or10hUThdvrQxUdg1MVR5QqmtzCYhzWDla9u5pf/+qXIWPv6ekhRtWHNubkps5PpYnuww07+edzf8Dj6WX2/GtZVHYt0dH9O6rrcJAflBgnmg3l7hygrLi3OKNJHn+5tI3F4QnZjxzFpnhJTgMBmcuEdCP5KXrJaUTsx6hXS413AvJI8HpL4CHIqA+EmMgfeERjXV2HQ/GQNSHdSL0l8H6TW/HJ3z+DBZVKhclkoq2tLWLdGcGA8Hg8GAyGyExzBMAFRoytViuJiYlnPEQigvMbLpcLjSZ841F0dLQizS8YotLc29uLx+Oht7cXh8MhkWchl4BAhTgmJqBbjYmJCRBqdTRVuzfTdqSWBIORpNR0Og5X4HE5MGTmo9bqiZ9yLXGTFgD9umJQVvrkUdJyYiv0xiKRTiB4inxCulFBZmYWGiQ/24yk/nP/+bxi9jRY+eSDdym77lbpmIBCOiFHU4+DohQdfl8fceoouh0u8nR95MRG0WR10O10EUUfe8rbuG1YDElHK6itzfVER8fgj9OhVqvRx8URo06i3edAGxVIeQuOIrY6POReuYBV77xFQ3NrSACIVquVpBNnE7t27eL1F59n/o13Mm36dJLjdVI1VZBHAXmjYbjXhFtEWpyGx9dV03hgNylJCZA8VlrH6vRIdnfhmumm5iUp3he7zBbFg5L8/qel6mnpcpCRpFe4UgiP7Fa7G6NerXjYEsRcnKN4OBPvOfE+/K+1lfzXgmKFc8xgIzk5mfLyctLS0iLfDRGEoKGhgb6+vsjDUwQSLihibDabGT58+GAPI4JzAJc3QJJO5MvX7/ef8heimKo/keYdn88nNft4vd4AcfZ6SElJZkzpRFJMaezbtoEsr4eoojwyRk3C6OtCrQsQlnh3B36Vimh7LKAiwePFjwq/SoXFYsOPCh1Ir4EKPxCHh/11NvbXdXD/5Cxe3dWEXI11//Q8ul1OVB43bQ43sfj55GA7mVqIUsGjszOwubzg91F+qIHOtnbmzr8SfZ+F9h43hl47KvwcOmRhcnygEpzs7sVvsZHo9eHqdbO3soOMBD0ObSxOL6iioknQa0hKSMSv1tPs9OAjik6VisKsQFiI0KumBZFfVVTgelgcHvJS+qUOwubtcGc7Pp8Pt9sd4pmr1WpxOMJrqc8Uuh29PP+Xv5CWkcmoiZfQ4/bT4+6XglidHik5TyLLYchxsLa71e7G7+tDpY1Hn9Xvv7vLbGHx6Cz2NFglolp8VJMsKvZT85IUUd2A5GccfIxgCNIrl0GIau+xPI7Fw1p+il46bp5RQ6XZEfJAM5hQqVQkJyfT2dkpBQ9FEIGA3W7HZDIxbNiwwR5KBMfAuZRCXTDE2GazodVqz4g2NILBxb59+3jzrZXcce/9FGWnYO4OfCmfSgXK7w8fEXw2IOLH5XHUtR0utmzayML7ZvPJ2pW0NDXQ63Yz+eZv052YSjdQ73MDfvJjY1Hhp6fPT4Y+FlefE5Xfjwo/Kr+fNnsv07ONWF29AHxV14UKmFeUwicOOwB9LhszsmKoaeuvHrodPfT19hHl8ZIWCxaXh+RYHz7glok59Dh7cfT68PZ56fP20Vh3mMTkS+jti6JbFU2cIY5mhxsLKrbbAFQUFmaQdJScdR4lRV29MCHJiDh7FxCtAZMGTIZ+f931tW0sHp11Qilqwc1xMX1uXnzmSa6+9jqys3NC1tfpdGctLtTn8/Hyv9/iozWrMKVnMueqhYqqrIDQFAsZAiC5f4RLjxOV31a7m+Y2C/5ep8KTut7i5umNtVJjW7iEu2DZRrCu2KhXS9tmJAUqxhBwtXhwRr4kk5BDkGjxr1wuY3F4pHEL0i/kOgadWiL9g60xFkhNTaWqqoqUlJRI/0kEChw+fJiRI0ee1j5EL0sEZw87d+48Z8e6YOaVIvHPFw6cTicH9u3m2T8+wZ/+8neefeq3tDQ3KdbRxpwYUXa73QPKKM4Fdm7fTv6IUdTu205DbRUpI0pBpWLnWy+w9g8/prV639EIaC11Vg+HrV7SExM44vLhidLQG60lxZCMK0ZPl1/H+41uNrb72djupy/OSK1bywv77fTqk6hx6Xhhv4MetYEql44ql44rJ44kPjmd2EQTffpkfLpkbOpEDvaoscYYUMcn0xuTQIzegLXHwb6aOnyFk+jsi6HDE4U/Jhai1fhV0aCKQm6VJk9TC0ar3S1N54uqZlqcRlpXrn0NFxstIFWKjxLLtWveomh4ITcsWRoS9gGgVqvp7e09jTs2MP7+j5fYte0rvv3jX/LtH/+SiaWlGHQBQhlcITXo1RiOSkEEcQxHiuVkNC1Og7/XSYohTtJqiyANCFivCfs1OZpsTnaZLYp9Lx6dpbgvFoeHzY39lmty+YxYDv0a8V1mi0JCkxanGdCfePk2pR3fygNNVLbZsDg8mLs9Ia4fgwHhZtPd3T3YQ4lgiGHs2LHHX+kY8Hq9VFdXh+1hOd/Q3NzMr3/9ay69VNm4vHPnTqZNm4ZGo6GgoIDly5crlr/yyisMHz4cjUbDlClT2LZtm7TM7/fzyCOPYDKZ0Ov1LF68mLa20NmsoYQLghi7XC5UKtWgEqAITh9rPtvCk//7J2IT0xhWWMSRulrWr/2A8v17Sdaf2lvV5XINavJVt6WDqn072PnJKrRxCUwaPQa3zYrT2okhM5/RR71zRVd/njG0sU6uOxYIkOn+97twIABlQ92zm+qwODw4OpoweCxMzUtSOEQIVB3YQ12zmYJRpdIxITC9Hg7HCouQQ15ZDF6Wl6JXEEptjFIW0Wp3s7a8Vfr900/WsvajD6moKJeqfsFNc2ezGtjU1MRVV19N0bA86TU56RUkWcDq8FDf4ZCIf12HQyFRCAeVWkus0aTY10Ce0WUFJsX7Yn1tW1ipBATeB0J3PrPQoNAWP7upTqowB5+D/P6Hq/Afy/Gi1e6mrsMR1g5wMJCeno7ZbD7+ihFcNPB6vaxbt+6Ut3e5XFRVVZGZmYnRaDxzAxsE3HfffeTn5/Pss8/S1NRfuOjt7WXRokVMnjyZ3bt38+Mf/5h77rmH3bt3A7B3717uvvtuHn74YXbv3s2kSZNYvHgxLlfg8+a5557jxRdf5NVXX2Xjxo20tLRw3333hR3D8XDPPffw4osvSr/X1dXx/vvvY7WGNpGfDi4I3UGkWnz+w+fz8dYrfyO/sJinfvcbltz5TYpqq5g483ImDs84ZYmMy+Ua1Cd5Q7JJ+n+8IZkP3/onqYWjGX3lUmL18exo7ycygrhMzzEC/eRUWLLlGfsrrsIRYmZhgAiLKfFnN9WFRE2vqjBT+fdfkp1XwE9+8V8SwWnpcrDLbCErXkeyKR2DPnBc4ZscOH5SSLqZgKgGy9FkcypIc3BToNxRQxsDf9lcJ52jIIDLpgRI2/JtdWTF64jFw1tvv83nn64F4Mr584/pIhEdHX1a9lx+v1+KExbvHZcXEhMTsFosEhk26PslA0IvbdCpJckEnJgzg5Bj5KXoycpIpWvfF/zg1T6euu1SDHo1i0dnKZr55NdcyBvk90fsT1zr4ERCcT/k75MNh6zUW9xSOIuAdE6y8xJjEbMFaXGaEIIs3p8CQ6EZT7jJ2O124uLiBnUsEQwNxMTEcOedd57StiKRdfjw4cTGxtLV1XX8jYYw0tLS2Lx5M3v27OFXv/qV9Ppnn31GV1cXTz31FFqtlpEjR/L666/z6quvMn78eF577TVmz54tkd2nnnqKl19+mfXr17NgwQJeeeUVHnroIebNmwfA7373O+bPn4/NZjtpf+g1a9bwrW99CwCLxcLkyZPp6ekhNTWVTz755Iy5ipz3FeO+vj56e3sjH3TnOdrb2+m2dNHd04PD1oM+RsWiJbeQl5l+Wrrxc+FQcCzce/O1GJJTmXvbt7nitvu58bu/YcL1dxOrjycl2of34Oe4O1tCXCQE0ZGTSvmycJVBOSnOTdby4Ix8Hp1bJE3Hd7W3YnV6eOhNpY9wo9XGzt07SYvTkBanUVQJt9Z3YXF4KCswEQxB+oIr2sEkaZc5UKkOJlA//6BSIv3QXwldvq1Omp6vNZv54SM/4cP3VuI8qqOO1R5bt6rVaqVqxalg/Rcb+NnPfsavf/0bPvz4Exy9AeeRrOwcDhw4KMk6BCxBEgkhmZA3sskr44J4KgI9ZGTUOGYWqpgYDHo1exqsbK3vkuQoRn2/97HYPi0uQHbloStWp4ddZouCFD90aYH0ftpltpBn1IQEwayvbZNcMsQ9tToD51MvayaEfomFuKdZ8TrKCkzSMYpN8Rj1aorT9YNOigUyMjJoaQkNSIng4sXf//73k1rf7/fT0tJCe3s7xcXFip6S8xn/+Z//yaRJk0JeP3DgACNGjFB8j5aWllJeXi4tHzdunLQsLi6OoqKiAZeXlpZK8pOThdVqJTs7G4AVK1aQkZFBd3c3t9xyCz/96U9Pen8D4bwnxh0dHaSnpx9/xQiGNP7xrzcAqKs6AMDzT/+evbu2n/YXam9v76B+cH22vZze3l4yh4+iyeak2R4gbJamw/z7yUc4tOkjmlv7m8XkkggBEe9cb3FLpEhu2yYnN6LqKlLqAL7auhWA3l63goxlJOkD1eHKveQMH0mr3S01cAkiLI4RXPkUJE0gXEVZTpZXHmgKPcUoLwABAABJREFUCYQQcpD/WlAs/QSjx3wEe0cL0bFaxow9+uEqS64Lh1Mlxi6Xi40bN/LOije57fZlDC8Zzftr3mXN6lVAYFYjVqORKqf1YaQRcsIsyGy+LNhDyAvEg4148LA6Azrq3GQtKpWK7qrtvLSltt9iLU5DsSkegy4QppIWpwlJGUyL00i/r69tU6TfLSpJl4i6Ua8OqwsX7x1xL5tsTirbbJJeWEAEuggIm7diUzx5KXryU/RSM99Qab4T0Gq1+P1+3O7wkpMILi50dnaybNmyE16/r6+PQ4cO4ff7KSwsvCjs/7q7u0PCs5KSkiS9/skuT0pKkl4/WeTm5lJbWwvAG2+8wV133YVGo+H+++9nw4YNJ72/gXDeSykcDgeJiYmDPYyLCn6/n7179/Lya28wfHgR99379QHXO1EpQ8zRae/Z86+lpvIgnl43ufkFx9nqxDCYXegVFRUMKxpJRoKOFocbb68bW8V2tn0cCPXQzLmbqKTAE/DMQoNEHgWpyYrvr6gKsiuSz8JBEFqhM7Y4POzf+gVpGVnEaAL34T+vGcVjaw5KzgSm/CLssRqS6Z86lxOhgXSkQj8cbizzRqaxtrx1wDjrZRNzQkJAICCjkDdzpRaOYva3f8UdUwv51z9f4pqFi7jyqqtDtpNDq9WetOasp6eHe++9F4DcvHzmXXkVvr4+3otPYMUb/+amG6/ninlXsvq7D7DsazdzyZ0/IMGUpZC2yKu+8nOTE1JBlqHfpSPc9YnLKcFl74HEuJAKsdiXOJ6QcYQjxdNzjEzNS1IsD8bMQkPYoBcBQcLzUvSShMXlDbxXxLmIWQZtDGgT1UOmQhwOGRkZmM1m8vLyjr9yBOctbDYbjY2NJCcn09vbS3Z2tuK7wOVyUVlZyfDhwzGZQmfEguF2u6mtrSUzMzNsyupgQKeLIS31xB8+jbFRQM9JHUOkxMqhUqkkD//jLZd7/Ytl4V4/Edx1111897vf5brrrmPdunU888wz0r5sttDvk1PFeU+MjUZjxH7nHMHlcvGv199my5bNeD29GIxJNNbXhV3X7/fzH794nIaKPZROm80371yK3+8fUAs+a941VJfvp7O9lSN1h3j0N08wctjp6cb7+voG/Ym+tametKw8+rxe2ja+x/7tG/F6Aq4Ji+5/FMdRXe+xICrGAiLhLHgaHALkKTgOOj2viIbGI3R3ddDn9RJ9VJqSkRSoPDZqdOxZt5LoK2+k2BQvBTsE++KKY244ZOWNPS2KBi7oJ/NCuiEImfDcFZBXmtPiNCHV329Nz6fS3K+pzUvJx2q1sH//XnJz846rTdNqtSfdZJWQkMB3vvdDGurr+PyzT/n4w/cpr6hg1/atXHfjzUc1xonMvGw2n65bizbBKJFiRYOaw8PW+i6FFEacr4iAPlbDmqjaVnf4+eqwlRlF+ZKjhxzy6ynkDaKCLK8Uy+9n8HWHQFVY/l4JriQP1HypjQlYsYkHAINefUrpgYOB+Ph4jhw5gtfrjdh7nkcQIUs9PT3H7Sl69913ueSSS4iKipKI25o1a5g0aRIffPABy5Yt48033zzh2GehJy4oKLjomvyjoqJCSKzf75f+do63XE6SxTLglP72fvrTn+L3+/noo4/47W9/S1FRwO9969atZ/RB97z/VIhUi88+Pt9Rwbr33kKrj6Op/jBzF91KTkExb/39KcaOnxh2m1Wf78LS0shNP3ict57+FQ9t+RydPp74zHxi/H1o9fHEaTW4XU60ujj8XhfDi4oZP2kqhYXDGT9y2GmPe7AdKQDsljbGjCxh/Xuv097SyF0/+BUfvPMvcktKMaZl4hig8ttPhC0h8gpBZMJV+YJ9bo16NXaXh+zCEpxdZhoPfMVqe45ieVR0NOPn3xA4WlAM9LEgCFtZgYnlOxuBALGr63BIscDh1hd624FCIFxe5bJDNdX8v9/9D5lZ2ezYvk36YB0IMTExUqT3yWD2zOkwczqTJ47n17/+NfHx8XzjW99m7uWz+Z/f/g91hw8xfuIkxpWO556ZI+l2ehXSCSGXCK4Ai4puXYcjJM1QEFTx+oR0IxPS4dlOF+3bP+RpbRxRR2OmH5yRr7g/wQ8b4ndBriekG0N0zPLKcbhKtWiaE/8KUm3QHZv47mmwkp8ydLTEx0NaWhqtra1kZYU6tEQw9NDT08PHH3/MZZddRmtrKwcPHmTUqFEcPnyY6dOn88EHH3DVVVcBASJ2+eWXU1tbS25uruQWkZMT+Ny7++67AU6IFAt/YpfLRXFx8aAXWgYDCQkJIY2FXV1d0nU92eXi/6fi4qFSqXj00Ud59NFHFa+3tLTwta997aT3NxDOe2J8Mb5RzzXeevVF+rwezHt3klk4krFjx7JqxWu4XG4uK5sXdpt9+/aQmF+MPsHArG/8jKjoGGxVO3FGxRKtjkXv66XP6yFRo6PXaSc5MYHmmv28/frL/OnZZ87IuIcCMZ40cSIfrn6L1PRM7nvgu3T7dWiio+lyugaUQ2TF6yS3iYZOl4Kgypvx5JVBQaRFNVmgy95L5d5tTJ2zgJG5M3n2z3+mreBKSMzkiYWjsDoDjXV/eO45Ji24SUHQ5DKJcJKIYAeK4PEFY97ItJDX5MEXgPR/g16N1+vli8/W88brr3HjLXdQkJ+L2dxCQkLCCVUnTzXcZcSIEUyeOo3Ojg6+/OIzVr+7kpbmJmJjYzG3tNBlsfDk//s9N991vzTm+g5HSNKcqL7Ko5XlVXhRURe6XDlpXVqawet9c/E6bUTFG4H+MA4gpIosZBViDMGV34FI9LEg37/VGd5VYt7INPY0WI+5zlCE0WiU3Iwi3yFDFy6Xi/r6elpbW7nxxhsBMJlMOJ1O1Go17e3t+P1+xo4dS0dHB19++SUTJ04kLi6OhIQEYmNjT7nPpK+vj8OHDxMXF0dBQcFFOzM9evRoqqqq6O7ulgqRe/bsYc6cOdLyzz77TFrfbrdTU1PDmDFjpOXbt29nyZIl0rYajeaMphT/+Mc/PmP7gguAGEdw9tFUV8PlC2/haw/8lCN1Nfzy+/eSYEjmuz/6CVnJyi/gNZsOsGvnVhoqdhOXEfgSj9UfTcwaOwPj0fXkBEp8yZfv3so11y48Y+N2uVyDPqNw8003cvNNN+LyQlNrJ36rlZqDu1ly1U0MpOqUE9Dc5IGJ/fQco7Tusok5PL6uGs/B9UQlZTNs9DgaOl3sO3gAj8vOvDmzSIrXMPvS6Xz02fvg7OY/diWx4I4HKMzOZs68a0mQkd9w5ClYWpEVrwsrCxB6VAFBeuV+vtCfDCd0zQIGvZqWditv/uvv1FRXce83vsXkqdMAGF5UdEKkWK0OEOsTifIOxl///g9qqquYddkcYjR6iosK+XTdWjZv2kBqSjI/evin/OyRH9NSW0HS2IDv8xdr1/DZR++RM34Gwy+9irICU0h1NzglzyCLWhaVZ/k2N0/MYdeGdYwdPZy3DwRK8MJ5RKTgCYj7UFZgYn1tm6RdFlVpsa48je9YkMs/YOAwHW0MTCswUGl2DLlGu2NBpVKRkpISiYkeQvjb3/7GXXfdxRdffEFZWRl+v58VK1Zw2223SVPmAqJvRYRziGrw9ddfT11dQN53+PBhvF4vra2tIYEVx4PD4aCuro7s7OxB/w4ZbJSVlZGamspDDz3ET3/6Uz799FM2btzIc889B8Btt93Gk08+yR//+Eeuvvpqfv/732MymZg1axYAt99+O4899hizZs0iOzubRx55hBtvvHFIB6JEiHEEx0VUdDRORw/RMTH4juq1brz51rByh8/fX0GX3UEfKnTGFKC/eiWvPhplRCAtTkOv24W58TDTpjx4xsbtcrmGjGPJkboafvrTn5KZVwjAxo9X0bx/KxMvvYJx8wKVkM2NlpAwh4ZOF3nGfqIsJ6Lyiu762jYenJHP/3tvG3i+JD7HSJ/ZyoZPPuDaa68lOSFAsG+/8y5uu30ZN92wCHp62Pjua0z/0X+w90gNw7MzQ2QYcjJcmhvQNAsJxxt7WhTEfdnEwJdTXoo+xNIMQgMi5N68ghCW6g24XC6e+M9HGTGimP/6nyclK8aT0bAKZ4oTJcbNbZ2sfGsFdXWHqamu4v899TRpsvdOZ0cHmzdtICMjA2O8lltuvomX/vonxowdx+ixY9n6xTrmXn45n322niU33KLYt5wQ56XoyWoL/D2sLW9VaHgNejX56CW7tGJTPFNvu4nnlv+LZbPmsPxAoIu7odNFQ2dLWI15cEOjnCBD/z2Qv4/kzXfyv0vhPHEiVeDziRQLpKamUllZGYmJHmR4PB5WrVrFvffeS19fH8OGDWPv3r04HA5uv/32k95ffn6gIJOTk0NmZiYAjY2NEnk+Htrb2+no6JD8iS92aDQaVq5cyf3338/48ePJzs7mpZdeYtSoUUDAfu3FF1/kscce45FHHmH8+PG888470mfvAw88QF1dHcuWLcPhcLBgwQKpaW6oIkKMIzgmypttFJaMY/Mna1DHatm37Uvyho+k7NKpIeuu+mI39bXVTF/2I7QJgS9tORmWT+9Wttkkn9PGw4f44O1XmDxlCmlpodPtp4qh1Fzz5VfbGTf1MrQp6TTXH6J5f8BCLaUg8OEykKwCUIR7yAMbJqQrq7g7mjqIzh1H36Gt7H3vZTw+GD12DFcuuEbhJvDV5o2kp6WxaNmD1B5pYtu+SkrGTFAcc31tW4gswurwSBZw0B8YIaX2HSXE8vXlZFhoXOUVZTEND4GZgy0VTWxa8y/y8vL49ne+e8oNXYIYJyQknND6hw8d4pN1HzN+4iR+8d9/QJOQLC3be6CSF//+Vx577DHJj3POnDnk5+ez72AFX23ayMzLZjNmVAnl5Qel7UpzDdI1CI5+lld75ddJ7k1scXioqD5EclomCYYkHp2bxuPrBvb+FPcrWLcsR7DcY0K6UXFP5dHQ0E+kzxeJxMkgKiqKhISEsHZTEZw7xMTEcOWVVwKBcJ5hw4adkf0WFRXx9ttvM3Xq1BOS1Pl8Purr64mOjqa4uPiifVi66667uOuuuxSvTZ48ma1HbT/D4Y477hhQsx0VFcWTTz7Jk08+eSaHeVYxNFhDBEMSW2qtfPjmS1Qf2EVUVDTVB3Zx+XW3csuCmWE/NGxWC3EJiWjiA2RErkttsjmZkK6c/t1T18K+de9QW7mPq65ZxC03XnduTmwQsO1gFUm5w5k4rYxoUx6Vn6+mcMZ8SB8GoAi5EFVjUckLVI3D26KJ9LHymir2v/8qWYkJ3PObxzG3tDB+3GhSUlIU62tjICUlley8fGJ6rcTEaoiJUZNi0OPw9hPtwHj6U+uabE4eXt2vX5ZXKxeVpEtevYLwhpuul2ttBURV0uLopaqujjdffpZJE0q5Y9ndJ3F1Q6HVaunoCNMBOAAmTp7CtOkzSE9Lp2hYToCsOjz43Tb+9twfueGW2xUm9QDDhg1j2LBhLLz6KlxeaG9ppKuzs18i4vDw9msvkZycwqjSybS3tzJ67Hhp+7Q4jeI6yUkxBMipPjeb3Kx0MsM0KgrHC0F25RZuVqdHSswLvuYCwXIPUGqXRcX/QiTFAmlpadTW1kaI8SBi9erVTJs27YQfYk8GN9xwwwmtJ6zY0tPTJZ/dCIYuLr30Umpqas5axHuEGEcQgr+98ibdli6MGblk5hZwYMdmps+ey7zrljDmaFyxwJZaK/YeK5u+/JQ4YwrWdjMt5bvIHDUphMgJx4TMOC27dm6h4pO3KRkzgT898/QZTy4cStViAL/ThibeQJPNSXFBIfGmb0rLmmxOKa3uRCDWFSRml9lCvK0VX6+LHz/6BzIMsYwZOWLA7YtLRjKypITO1mamz1pIq93NYasyRa3eYpbIMSgdMGYWGlg2JZ+15a3Sa0IWkZcSqIAKTa1Bp1ZECIsx19SW848//EIxruiYGOYvXMI9X1tyQtfhWNBoNCcV8tHb28uWzZu4YUnAVnDLtm18vOpNWpoamFN2BdcsuOqY22tjAl+uUgBIexOvfLyXETOuI0UTTUevGzs6Nny+HmN6Nk01tXhLJtBqV0vBGNAfLw0Bcrvm7X9Ttug26RrKkw2DCW9lm420OI30sBFOqiJmbURC3qqK/i8WoUeW79egVyvs9M4XS7YThVqtRq1W43A40OvPPznI+Q6fz8cVV1wxqMm1FouFlpaWi9KK7XzFLbfcQnt7+1nb/wX2MRfB6WJ/g4UPV75ORlYuLZ99zOTL5vPLP/yFkZmBL9LyZhter4exuYGnar/fz6v/+BPRajXe3n0AHNmzmcxRgWhJeTjF0lIdmp523v33G3jtVmbf8HW+tXjOWTmPoeBIIUd0vBFHZytZpZOB/uuSZ9QcM1xBYMMhq6JKK7THTTYn3eZGdqx5k+mz55JhOL4mThsTiO1saWmWSJC8kt9qd0sSiXqLW+GhPLPQwOLRWQrJRDAMejV0KPWuxaZ4SnMNrC1vpdXups1iJSoqGp+vD41Gg9vtZsHV13DLzadGil1eJWmLjo4+KQP5RH0st92+jPffe5fdu3ZyqKaaW+95gDkzppJiOLEv7dbWVlJT0/jP/32enGlz0Q0bSbPdRbM9UN3Vx8VjHB7weI6JiWFbczMxsZqwXsGJuhh8Ph9lV14b2Le9P7Cj4WiEeDDZDedSUdlmU6TnCYgHF0Gy84waiRQbdGrJaUNeUc5P0aO9AKvHmZmZNDU1UVhYONhDuWDR1NREQkICH374Iddffz2ff/45V1xxBQ6Hg/Xr17Nw4Zlruj5R+Hw+Ghsb8fl8F60V2/mK733ve2d1/xFiHIECqYY4bv/md3njpeeJ1WgZPmo8IzPj2XWolYbDNWzbsJ6De3fywgsvYDAY2LFzG/YeK8Nu/C75yfqAx6zfr9ATC+LXaOlh86vPMWrGXH54102n5BhwohhqxHhU6VS2fPgmyVddy/Nbm4DwAR1CRiG3YgPCpt1tOGRlfIKDvav/yeULFvPNO28+4fEkJCSyb/8BDDq1wuJLTpCDSXu48cohSHb90chj+XibbE6ola+cwRXf/y0AHpcTzaHNvPfuKhZftxDtKfhbQig5hpOzbLth8ULmXj6bb3zjGwDcuKDspI5vtVqx2B2UXH450UHv7V1mi8JXuNytodflxO/38++tFWjjEsiK11G5aS23LV7Av975kBElo/j7X57lBz//H4nUyu+P0AYvLVWGHQj5hFxPHKw/BqUDhvh7FTrwYCmMqPYvHHvmegCGCrRaLX19fYMeH38ho7OzE61Wy1VXXSXpiD/66CNGjhw5KKRYSCfS0tJITk4+/gYRXFSIEOMIFEhLiEGj1fHQz/4Ln8/HjLEFfLm7mtf+9gytLU2MHD8VU24hW7ZsYf78+Rzau5WCybPISw5MQ2Yn6BWEKCtex9LSwBStzmPlE1s3BUmas0qKIUCMh5JW7L4bLqd255es+Pv/4i9agEoXqqcTWuJwEA4U9Ra3NJ3u6zrCtvdf48abbmXJogUnNZ70jAza28wK5wh5oySEyifCjUlANNQdq5I8EJoPbqdj7xZ++ZvHT8n0HcJP8QsP05OZHt20ZRsAI4pLTnoM8fHx2D0+YmL7jyfs0yBQcV15oElalpyVh6+vj4pN68gqGYejtouJl1xGj1/LZVctxqBT87P//l8OH9xNrz+KuJQsiAo9FyGLsDg8IQ8k0E+K5RZsT2+sVcwEQID85qfoFQ14pbkG6o8Gk2TF6zB3nz9exSeD9PR0zGYzubm5gz2UCxKbN2+WHjgBCgsLB61C39nZSWtra0Q6EcGAiBDjCBSoqanh70//jpHjJvKbx34KwOo3/onH6+Hmb/4QbWYhn73xN+o6XHxV04WlrRlb1X5yJwQa8uTNdnI02ZyM0vaSkJhI50k0RZ0qhlrFWKVS8fgvf8ZTz79Ew/q/UXjjd8KuJ2++Oxb8zm7cX73JTbfcyU0Lw4esHAvZGSY62tvCLguOCQ7WPgsynY8ylAL6m+6KTfFMzUtS6FwFuUqL00jWb1aHB8+wq/jZpg/Jys4JW/U9Veh0Olwu10l9+dXVBsraMy+dMeA6A41x1KhR2Nuex23r5pLheZLWVzS5yUmxwBVFGURFX0mfx8O4EQXEavqvtbiW4ydNwer0sHrVOxROmSM9pAiZi9ypQtwr8R4KngUIB9HYmRWvY2t9lzLYwxEIIKE28L4w6PsrxkJ7fCHojhMSEmhqaqKvr4/o6OjBHs4FBzkpHiwI14moqKiIdCKCYyLyzohAgVVrNwCgj4uXXsvJL0QdqyNGHUtfn5fm2nJ0GcN4f9Xr9Pb2kjFqEoSJ6RUa1XqLG7etmxeeepxFi2/k1luWsnnzZl5//XX+8c/XaG1tDdn2dDEUv+BiYmKYc81N5I2dRPOav9DVeGjAdfOMGkVF79lNdf3OFW09uL96g5jccdx8CqQYAgb2vW4327f1W/AIS71gUiyPpJ6QbmRPg1VhsyZZewXFD4tl4kdUolvtbuo7HNR3OLA6Paj1BkYUl7Bp45endC4DQVi2nQxuWnIDP/rxT7j66qsH3u8ARDAlJYWSsZPoq93dX50dwBFiQrqRsgKT9Hu0Ws0Bi6tf46sLBKxYjvpBG3RqFi66nm3r10jbDPQAJaz9QPmAKuQQlW028owacpO1ipkAkWQo9zKWP9gIuLyBH3EPXV4wd3sUTXrnG1QqFSaTiba28A+LEZw62tvbeeeddwZ1DC6Xi8rKSoxGI3l5eRFSfJ6gq6uLzs5OANra2njrrbfYv3//WT9u5N0RgQItjYcByMkvkF67/+7bGTd1Fq+/8Af0fS56XU6G5+bQcaSOsTOuYNS8JagG+KAR5K754A7cLierVq/m/gce5B+vr6TDaqets5PvfP9HLPvOf/Cb/3ycf778L7Zu3YrFYjnlc/CHIelDBdMKDDz58IMMv3QBe1a9xM63/krv1rfwu5TBDIIEB0sY+twOsms+QJ9goGDWyckn5EhLS2PR9Tfy7P89xdLRJhaPzgq73qKSdEXFUZCm4GQ00bAl/R4UaiFPwps3Mk0if2L9ri4LiYmnbpm1Zfsu/vDUH+nq6pJeOxVinJyczCVTJ6FSqXC5XLz4yr957fU3T3j7WZfOoL5qn/R7fYcDg04tVY8hUEEWvxt0asoKTBKRrWyzKRLxjLK4bIAJM+cp9PszCw08OCNfep/kGTVSnHdZgYmyAhNpcRrFjxz1FreCoMst3+TnAIEHp/oOB1aHhz0NVom472mwUtfhYE+D9bwmyMnJyXR1dQ3pz4/zEQkJCSxYcOqfVacDv99Pa2srdXV1FBYWnrJUK4Jzj7/+9a9MnjyZKVOm8Nxzz3HDDTewbt06br31Vv7617+e1WNfAJNgEZwp7G+wkJyWyeHK/Vw2pd+zNSYmhvtuv55dmz6lsrqKuJR0/vKHX5OYkcvWD1dQVjRBoauUQ+hh/UmlLPxWKWabg7iUdKJj1CwencXDqw+iuWIcyb4uphQaMR85zAv/ehNb6xE0mliioqL42u3LmHv57BM+D4/Hc9Y1zKcDlUrFL+6+HssNZby6ah2frv43xvQsDCVTpSqgeKCYkG6UKriu9iN0fPovCkrG8txPfnRaUpHY2FhuuvlWPl33MTa7DZMpjal5STy8uj+g4sEZ+Rj1agUxXl/bxrIp+YrgCkGKIUCI0xMDFl8GvXrAiqkhiPCpVCri4+NPelq+7kgLn336CatXvQPA0puWSNry2NhY3O5jywjCwe/38+JbH7LxgxXkFQyn/vAhikYUM2Vi6XG3nTVtAv94/mli+lxA4NzrjjYjCpmMxdF/3eRSlOAAHFCm5nW0mSnfsYkJs5SzBOL+CBmF3Is4eB8hpDeoyVOMJdzDUDCC3S6MRwn9QPd8qEOlUpGUlERXV1ekIesMoq6uDpvNxqRJk87pcb1eL4cPH0av11/UgR3nK/7v//6P/fv343Q6ycvLo7a2FpPJhNVqZc6cOWdVnhMhxhEA/H/2zjvMqTL/4p9kkkmZkkzvfRiGNsxQhyYgKII0FeyLiq6uuri6rrrW3+6qu2tZdS1rWxs21EVFAQugdFBAehtgYHqfSaZkSjLJ74/w3tybZCg6KOCc5/GRSW7PTe55v+/5nsPm/WU8/uAd9M3L58+P/puUlDifZYaNn8zyT9/D3t5KWv55lGxdiyZQh7X8CBGpvRWBHgKC4CVHBtEapCM0yPPAESRMbTRx5YgcqlvaiYrNZkjvseREhpBgdFBXV8vTTz7G0MG5J5xZf7rpi7uC2WxGr3X/WNf9sBxXbRHFE69RTJFvq7LQWXME+86vKGtt5KIrrvnR8glv6DVgNAbR0tJCYJCyaU6QYkGk5FPzIspYHv0sCG1Vox1k7hSiIczfvpFJMIJDQ2m0Ht+2TqDO2sKyr77g4/99KL123333KZqn1Gr1SVf/vt20m48WfkhLfQ3TL/8tF44dxsrVa/n30/8if8JUbv7NJcechtXr9aRlZLH2uy3kjxyFxWaXBaa4IQJA5Npsb12vN0xGLQFB4eSMPFd6TXzf5GmI8m0Jci23gxPSiKyoYEWcuID4zLOigqX1xXEKqYU3vD9fk8FO8dFB05nWqBcVFcXBgwd7iHE3IigoSIpm/rnQ2NhIWVkZSUlJBAcHH3+FHpx20Gg0GAwGDAYDmZmZREW5Z7ZMJtMpH+T0EOMeANDaqaZvXj4pvfowqJfvj9j/lm2ksuQwN9/3OM/+3zyaSw+iCw6lrbEBgynCZ3lv/1s52fPnjStHfLCB8BA9URFGAoPDiEtKY/fu3YwY0XVDlBxnCjEGyB02ivKKCqx1NVSWHqF5xRt8326nwxgDHTbWrChD5bDzmyvnkJGVTZ+07n3ApKWns3XLZs6dnOjznsVmV1i5if9HB+mkJi3RRAfusBeAHKNJmn73B6vNrvDDba6vYu+uHYwZPeaEjtnhcPDEPx/FZDIxfebFbNv6A32ye5Obm+uzrEqlOmHLtq+WfcP8d94mceAIBlx4NUmJ0VhtdtL7DeKKm+/hi4/e4N5927jjD/OIjY3tcjsRielUlBwGRvmQ4twYs980OvF3sp+EO4HkcAMfvv48vfrmoEo7dvVaTlaL6mwSGRfvecdFi88VPE1//hppq1vaMRvd0hD5NoTzhdAxC6eMM83FIiAgAIPBQHNzcw+h6iZYrVZ0Ot0pSbbzhtPppKysDLvdTlZW1mnXZ9KDE0dAQID0LF+1apX0enNz8zHW6h70EOMeUFBlQ2cwcuXc35EV4//BvGTBa7Q0Wek3eCSG4FBCI6IxqQNosdaTmZSkeHh6T8/eOiJFspGSk+JR6SYp1hZ8p2yL62yE6jVoNJqTatBra2sjMjLyhJf/JZGXEUPeH28FYPmG7dQ0WFGp1Hy2fiuq4HAuu+RiMtPTpICV7sbU6TN55K8PUVRWycVXXa94z5s8CShivUus5CSZJFIM7mqwqDQnH42KBt9pfIGiI4fpldWbkSdIjBd/8RUajYY//PEuvvpiCa02W5fRryI85EQGSiuWfcWUWXMwpfXzqYxmpqdyy58eYtPKL7nn3vu4/rZ7OCfPv6VbW2M9YZHRikpsfqJZIosCcp22kJZY/bhXiPVUKhWzrr0FS30t+wv3ET0s329MuICIYQfYVNyg2L+/2R1hubejxKr4LoqYcAGRsOe9rjzQRWwHIOYnaMd/CcTExFBSUkJmZuYvfShnPL799ltSU1N/lt/jtrY2jhw5QlRUFBERvsWaHpxZWL58ueQoJI9st9lsvPLKK6d03z3EuAeA+8HWFSkGuOjaeVSUFBKTkMKcefez6JMFNFaVMvX6O6VlvB+0SeF68o9GSMune0XSVnywAbNR61fXmBUVTENLB/97701arPVMnHji8oETJUKnGyaOGCj9+/LJo3+WfWZlpPL3x5/irjvmcc3cG6XXuyLF/uDtUFFQZZNIsHflWOhPRYOW1WYnKjqGhob6E+oUb25uZsnni7h13u00tXVSWdfIkGHDu5z6Fg14x7sfioqKKKuqJj08mV4yzSzIGgyNRgImXEhTh4vPPpjPmNxHfCrRe/bsYfu2H0i9eB4aWbqhIJJiW0LSICeg3qEacs2xe/9awoN1mA2xlNdbKbd0XTkR30VhkScg39/Q5DCJhEcH6Y5+D20+FWXveyErKpiVh2sU1oJiECAGunI5yPeHrQxLO3PIsU6nQ6VS0d7e3uNz+xPgcrkYPXr0Ka/aigY7q9Xa4018FkFOhuWIjo4mOvrUBg31EOMeHJMQC0wfk8P3h1MAOFywm8p9Wxk59x70Ro9WUTwove2ivDWQc/ISJTLsrUGVT99qS/dwpGA3f//HYwQFnVgsL7in03rseE4cERERoFJRVe+r8RUVR39T7+Db6CWihkHpTCEa8rxhbbXjNIRRX1d/NML52J/bgg8+on//HOJSemFttWMICqKp1tcfWECv19Pa2nVVVeD5BYuJzc5DHeD5SRT3qKK50KBl0OgJ7NmyjlVr1jPunFHS8g0NDfzln08SN3omGqNbDy9cPeT3uFxbLN82KPW+4Cas3vsHLX0zM1ix+H9EDT8fUCYmFluqFNIlUTkWn01XzXRyxAcb2FhqkbYtWQVa2qXX/a0jjlEu2/CnSz7dERMTQ2VlJSkpKb/0oZyxsNlsLF26lNmzZ5+yfXR0dHDkyBFCQ0Pp1atXT4PdWY7GxkbeeOMNKisrSUtLY+DAgQwYMACj8fgc5mTQQ4x70CVcLhcffb0RjVbDxecOZd/2TWz8ZglNLS2Exiah1RulYICPdlRK64nAADnkZFlMuXon5Mn/X9bUwrdffsoffv97Is0nLiM4mQjgXwvsdjv/ePxfRMUncfN1V/m8r1KpCAkJ5YkFX1Br6k1smPtHRoRD+JuulzdnAQoNq1waAG6C7JcUH3VncLmMGIOCqKkoOS4RqagoZ+y4c6X9pCUn8+aXiyguqyI5IcZneb1er7Bw6wqBbY0EJrmlEd5kTkQkC/1venQos6+Yw+svP8vu3TsZPWYc7bZG/vXKW2gS+mEJzaDf0fvdX+Oh3M1BXDNv+cSMvvFSg57c6cFk1LKjxIparea86Zey8IO3GX3hbFQq1dFjVmqa5dphAVG1lu9TzNz4+26OS4ti/tZSn/MQ5Ftu9yaOUThxgPvekH/+Z0IgSHBwMGVlZTgcDjSaM+CATzOUlZVRWFh4SklxXV0dNTU1pKSkYDAYjr9CD854XHzxxWzfvp2hQ4fy+eefs3//fgAyMjIYOHAgH3zwQbfsp+cb34Mu8fQrb7NxxWJyhp9DY3UpG1Z/Q0NtFf2nXEVM7xxUKjUul5ONq5fhVMeiDo1SVKq8p4Kjg3RdTtF7V5WbjuzGqdIwaGD/kzrmjo4OAgMDT2qdsxUul4uysjKe/vdzlBQdZnJKapfLXj3nWp57/jmix6dw64g+gP8qsSBMFi/nBDlxE1pZQfrkpNLfOgBDho9k+Tffcv111x7znMIjIqipqWbY0XUz0pJpaWmh8MBev8RYxEIfD+qAAEK17mq1mOXwJrZybW2f/jn87k//x7bv1/HYU0+h1gQSPXAM1vBsQMRp+0Zqy0mxGEzICWp8sIGJ2dHoNe7rJqq7/poZzUYtIydfQnurDb3RPaMyLi2Kgppm6fi9AzsENhUrBwsmg0cjHB2kIysqWCLDKw/XUFLfJkmg5I125c2tFNQ0K1IOTQZl896iPa3M6BuPyaiVzuNEZql+aURHR1NTU/OzOyqc6XC5XISGhpKXl3dKtu9wOCgqKkKn0/Uk2P3KsGHDBlauXMnQoUMBt2xy586dbNu2je3bt3fbfnqIcQ98IBqpUnv1ITwqBnt7O99++SmxSak0N1qIj4wgNiSI+spSVrz3H1qbGxk06ybCk/1rguQkQzxUvWE2aqUHsdPRQcPmL7n5hhtOuvp7JjlSnEp88fVyPljwPi6nk4TEZMIio7j2qsv8LqvXwLDh+SR99jlD4v1fb3/NWgIpsgY78JBjuU+vxWYlJcIoOTIIoiyqyiFBBslz2GKxoNfr/X6OGWmp7Nm7T/r7uw3rGDX6HMaNG+f32IQrxfGgD9QSFKBSNJqJ+9YfrK12MlKSyEi5nPKE4QDMG5mGtdWuiGgWEER5dk4sH+2opLLBRmyYkcoG93W7ZHCcVHkVNnegdKsolumSxbWNDTGwct1XjJ98kfS6m6Qqq8RCsmQ2an1IMbirx95EWnns/iGuj7XVI4nyJ9coqrORYzRJx3ImuFWYzWb2799PTExMD/k6CXR2dvLVV18xa9asbt+2xWKhoqKix4btV4qcnBzFDI5Op2PIkCEMGTKkW/fT823vQZe4+NyhjBw1hrxBg9EEBmKKS6Gzs5NvPniVrz74L8vm/5vW5kb6jzqf8GTfDm65vnhjqcVHmyh/eFpsdqb3juGBiVmk124nIzWFkcNP/mbvIcawc08BC957l9/c+Afu++fzXPybG2lubGTrwcpjrjewf19WrljKpiPlPtVi7+l4US30ft3aape8jb2byURFUaSlCTidTlavXk2fnMEA3Hjjjfzxj3/0e4xNtjbaj1aAd+/aydIli+nV99jWZWq1+qh+uWs0WeqIjnQ38MnJcFZUMEOTw8iKCiYrKpicJJMnttnrHBftKcdis3PriBTpPxG6ISBIMSD9H9zk89EVByU5gyCZgiCLBD0B09HBRVhQINn989B0ugctQvYhLNXkdnqgtIPLjTErBqreswHTe8f4tVwUxNdbWy6HyaBVyKOqW9rZUWKVzu1MCAGRB3704MSh0Wjo379/tyYIOhwOCgsLsVqtZGVl9ZDiXykef/xxHnrooR8V3HQy6CHGPfDBsDST1EWeFWPE6XKi0WiIiE9hzMXX4up00CstjeyBQwmPjiNq0Fi/23E3Arlv4JL6Nkrq2/hsf5XPQ1+ervbpsrWsWbmM6667/kdphX/txLizs5M3X3+Vi2ZfSVJaJiqViqS4aBKSU+moK+pyPb0GhgwdhqXsMMVb17rjf2Wfnxzy6rEgXiIe2CKTUIh0t5QIo0SmvCuJJqOW2vIj6LRu2UxdXR0Affr08XucUyadx4H9+9m9ayfPP/s0N934W6ZMPHYqok6nO2Y09JINeygtKSYjux9mo5aJ2dFS9VZENCdHGN1V2qOVcPBUu4XzSrHF7eawrcoi3c9z8hJ5fKryXGLDjIr/wE2SKxtsvLChyKcyb5HtUx6vLY5l07pv2LuvgDVr1lBaVcv3mzYB0N5cz9LFn3OoYC879u2T1okO0uFw2Nn23VoC2+pp+G4pcUF6ciJDpEZBi83OCxs890tSuJ7cGDPxwQYKapqlRr6sqGCJIIuBsPweAM+gSmi3o4N0Z4TOGCAyMpKampqemOiThMViobOzs9u2deDAAaKiokhJSenxJv4VIzU1lcbGRvr27ct9993HZ599RklJSbfv5wz5eerBL4WvNh3gtSfuB6DZUkdrbTlJ6b3pm5fPW0//hbgpN1LW4iLZ7Luu6GaXV51K6ttINrcqpqlF9XH3vt3s/OxN/njnXX71oieCX7vF0ieLv8aJmuxBI5S6XqcDo9FIZ2cnX3y1jLffeoM77riD/Px8aZF+2b34wx/v4uNPPlGQM7m8QEy3S04kXul28iqiJKnwioa22NzVYlE13l9ho8nWii7AxXc7dwJ0GaARFBTEtBkX8djfHyY3bxDDhg077jXR6/W0t7f77Vzu7Ozky4/eIH/CVFo7A2g9almWHGGEw8plxTkI/bQY2EUH6RTaejnEMrNzYqV7XvgJy63bBAmtbLBRbPEM7IS0QVTbhRwB3FrO/YcOM23GJRw+VEBKRhY6nQG1OoDvN21mdG4Wo869gP2lddTWHCCkyYrJGE2K3cW6FasYOnoisXFmZl42h8paC0sWLyZqwHAC9UrZzP0TMhXnIj5jucuFd8XYG1lRwdLyxwoxOd0QEBCA0Wikubn5ZwmoOBvQ1taGxWL5yU2LDoeD4uJiNBoNvXv37pGz9IBLLrmEqqoqxo4dy/r163nxxRdpbGwkPDycvLw8vv76627ZT8+d1oNjYvzAFEZPmknWgME0lh8mQOVi5MSpfPHxu2TmjSLQfFQX6aeyKDAq3cStIzxuA/40i+HqTvZ99QG3/O6mk264k+PX7EpRX1/P0kX/Y+zUy2hs65Q0qcV1NhydLhwOB9+u28z8N1/H5XIRHu3bVJSX04+K0iIOV9aTbNYxvfexByj+Yo3lHsZCWiFHihcxMkfHE6DRUlhYSHFxMQCDBw/ucp/t7Udjxo/RTCjHsSzbysrKaLE2MGTMee5jkcVgg7sK6n38ohrqHYLhT5YA7qrz9j27qCk+JFVUPd7I7or6y5d65CCbDtVL2xDVW6EPFp+p1Wan1trCgUOFpCbGMX7sWELN4WgDA8nsM4DImDgq2gIpqrOxr7Edl8uJw25nyfLV/LDnEFdeOpte8WGoVCpUKhWGoGCGT5xGbUkh1UUHWbbuBwAen9oHk0FJfOX2c97SD/G+fHlvydSZhtjYWKqqqn7pwzhjEBgY+JM1nw0NDVKVODk5uYcU9wCAXbt28dlnnzF//nxWrlxJQ0MDhw4d4pVXXmHUqFHH38AJoqdi3INjIjAwkNuuv1L6+/vDVmoqy6gtKSTjvNloAo9dnRWVNH+2VZkRRoI00FhXwavvv8SgQYMYOXLkjz5Wp9P5qyDFTqeT6upqamtrWbduHQBarZb1GzYyIH8cmkhPvLPVZufIwf001NeRlZWF0Wikpf024mOiyUr3tUYzGo1EpPejYfd60mKn+v3c5NhWZZEIoVx7u6PEKk2dW2x2cowmBcGUJ6WpVCq0Oj3NrR0sXrwYgLS0tC73uXWLWyowYbx/CY839Hq9JNHwhlarRa1WEx6sJPVyeOth5XZ08gZDcLtCCC9iUWW3VJUREhFNp72DvWu/Jv6CGdK2zK1Hq9Ctbm3yg0v3ArBwSwWXDI5TOGQIVwzh+rB6xZcMGTdFinwWqG5pp7wzEGqbpNcmDMrl4Hdfkzp4NEHBnsqnd+W7KDCVzo5WNIYAxfviPhCE3zucRw5R5RbrrDxco7CNO1NkFAKBgYE9gR8ngfnz53P11Vf/qHXtdjvFxcVotdqeKnEPfDB06FBaWloUr6WmppKamtpl+umPwRn2E9WDXwLfH7bidDop3ruFjWtXEhWbSFKfXAK0Ooo2r+TA6iVHXSm6jlAtb25lVLqJtYcsdBZtZcPy1Sw/mnluNocx+cJpzJg25ScdZ0dHx1n/4HI6nTzyj8c5VLCPoOBg+uUNo6a2luSEOOb+7jY04UkKMmtttbNl4xrGTThPaliZcd6xU/XS8yfy3fvP03vGTPZ34UQhJ4De5NmftVixrPHO95w6sdZW0XG0oSKrd/YxBzj33ntvl64V/qDVaru0bDMYDLS1tRKq19B41GzXmwgv31fNxGxP0pL8/c7OTpydndiam4iJCGXf7h3kpvWhrbWVrWXVWGsq6GhtITg8ivz0JNJjY9m9aS3R4yawc8sGMvvk0NpQRXqv3piNWh6e0kcix0LCUmxpV8yyvHxpDlabHUdSf0mCIWLX5TIXsQ0xYEmePIPi+lYa2zpRq+0+gwCxrYBAAw07VpF3/kwf/2Ix0BXSCECyahPNtcUW3+qqkE2dSQl4cvQEfpwY2trauPrqq09aRuFyuairq6O2tpbExMSe5roe+MUf/vAH/vKXv/Dhhx9iNptP2X56iHEPjglh3bZqyUdsWbscgMrSYiZceTMb3nyMxoY6IuKSqPhhFS5nJxGp7pCEYlkcrkCxpR1cTuzblmIHTOGRtLY0c8111zNqxPG1osfDr6Hx7rlX3sRqtfLIv16gobmN5/5xPx3tHQQ4Oxh9vqwSebSa12RtYPe2zVx31eMnvI87LhzGQ9sGsGXtMupT3RV88Tl2ZdkG7sYwq01ZYTwWRGWxvrYavV7Pf195ifDwCCIjI4+53sn+IB6LZIeGhuJwdFJR20B8VLincdCoZc6QFN76/jDF9RaeXXKQMZnxGNQu9u7eyYj8YRQcOoLDYScsPILakiJCDXkYNCpMBg1bv13GoBHn0RispZesMp8cHomquZf7PMKjCAvWoW3TUntkD2npGWDUSTZugiALONuaUemMXPiPhcTGx1G6fT363u5BzgsbihiVbvL5fIRXsjyJTkA+SPFutIsZPUGxHXn6XW6MWeGV7K+pUiwvv2/OxAQ8ARH40dnZ2dP81QXq6+spKnLfRyfjYdze3k5xcTFBQUE9vsQ9OCaEBWCvXr246KKLGD58OHl5efTv379b8wt6iHEP/GLrwUoWf/IR5cWHqKvyBBD0HnoOzQ21bFryPo0NdWQPG0tHgI7CDV+j6XMOLbJYaFHpGpVuOqrBhG1mC/zxCcalRbldDMoLeeG5J8jOes4dTfwT0NbWdlYnIO3cU8C279dy318fIzAwkB/WLSYlNZ1x48bx5ZdfSNP68hS6hppKYmJiu2xm6wrnXziT5598mKTQdHThsYoGPH9et+CxFJM36nnDe/rdYrNTeKSIoNAwHO0t6A16xo6f4LPeT4VarfZLatRqNXpTONsPFhEfFe45rpYOTEYtqj3f4swYQWuThaa2GHQGFWMnnI9arSYwsJyBeYMxGbWkZ7jJbt/UWKw2OzNnXX400CLULSVJ8khJhudkU1RnIyktE71eS0yv3hQUFtGp1rFwwfvMHj+N51YVKo4zNsyIZfdWQrOG0FzfTG2bmuSh56IO0EiOFgu32CSXCwFRab51RIpksbatyiKRVO/PIylcz/TeMXywaB3XXDKNBodWWs5bIuLv8xVBIOL7LrafEmE87X2Lj4eoqChqampO+rv0a0FxcTFhYWGkpqae0PIul4uqqiqsVispKSlnfVGjBz8dhw8fZvv27VKgx9///neOHDkiNWju2LGjW/bTQ4x74BeL/vc+e37YQFLvHIkYT5pxKUcOHybMHEZDpdsiZd/3qwiNTQKgpewAhphkaRvJZh0l9W18+8kCGkeO5pyc/uTGmKlqbmPRksUU7tiE2RhIVFQ0+mDzTz7mtrY2wsLCfvJ2Tle8Of9tzp1yMaEmM/XNraz9djk3//42Nm7ZRmiYssoqpsmrNaDXn3ylbnRuL5aPm86BL19n2k1/Vvgae5NiucOIP5su8KTGebsYVLe0s2fXNkJDgojNTGPj+nVkZaSe9PEeD8dypggLj6KpoVYKvogO0lGwdR29e/VizrVzWb6vmtSoCDqAcieUlzUyNDmM/KGDpG3I5RUmP81meg0ge11orkU1V2eKorzRzoXTZrBrz14eHh3NC7vdFdqXL83hzdf/y8y7r6e4vhXI8mkSvHvxXokge5Nj8FSU5RChOnLXmHkj3druu+dezYH9ezlQUkW/vGFYbHbF4AiQ3DXk5wn4OHQcTz5R1ahMSDxdNchhYWHs27ePmJiYX0Uvw8kiNzeX0tJSvvjiCyZPnnzMZW02G8XFxYSHh5OVldVzPXtwQkhJSSElJYXp06dLrzU1NbFt27ZuI8XQ40rRAz/o6Ohgzw8bAAiNiEGjDWTspGnMvfISCvftoKaiBI02kKAQE2Nn30BunlsGUb/tW47s96SSxQcbmJ0TS+fhLXz/7r/536tPcnjX96x6/z8c+GE91199GTOmT+Of//wHQbqfPj15tsdBNzc2EBJqor6ulu9Xfkljo5XH//EIq776HHNoKOBpDBP/1mi1tLR27eEL0OZw/+eNv9wwi/Fjx7J/7RfSa10lFwJSM50gyYJEeU/fy0nU4cpKDu3cjL2jA3N4NEEhoQQFBR3zeH8M9Hp9l17G0dExNDXUAu4q1hcL32XYqHGS68XQ5DCFxjg6SEdRnU2ym9NrPP/5gxhIiGWK62yKyGzwOD20ubSMyBuAMTyaYa07eXBsAu++9z7XzvWkQOYkmSTLM2GFNyrdxCWD47hkcBz3T8hkdk4ss3OUlc11hVapgpwSYeTRFQcVpHhUukkaHFhb7WjCk+h39LstziE+2EB8sIFxaVHM31rKoysO+k36k68jiK83xD1nbbVTdNT2b0eJtcvlf2n0BH4cH4mJiZx77rls2bLF7/udnZ0UFxdTXl5Oeno60dHRPaT4NMHBgwcllxrxn6jib926lWHDhqHT6UhLS2P+/PmKdd99910yMjKkJLrNmzd3yzF988031NfXH3OZkJAQxowZw6233iq9tnbt2uOudyz0EOMe+CAwMJCrfn8fAIU7viPYHMGt1/+GLQfKsXe0U1VWTGxiKr+773GSeg9g0+qv+c1tDzLr9kdQRySxrtCqsG8bf9vfiek9kCMH97Pw7Vdpb7XxwN1/ZNuu/ew/cIiPl2/sFgP9s9mqraW9k3Hnns+n773GP/7yZ774/BMA7rzvr8QnJmOKipWqj2LK3tpqx9nZSUDAsUtwVpuvpZrApbMv4fDe7exa+h6Odk8ymsVmZ0bfeJ/lLTa7opJ4PLQe2UNkWja11VVoAwOJT0g8/ko/AscK+RjYJwNtSw0JAc1oqg9w029vUAwwBCZmR/vVycoHFXKS7E2UC6psFFQpGxOFdZtcG1zTpiLKFMysmRdSV1ONKihMIuFmr8r08n3VzN/s0QeLz0QEb8htEuXL3L14r8/rAtZWtwVb6eGD7N76nXScQoqxsdTiQ6pf2FAk/S1v+PMO+5Bfix0lVqmHATyDA3/Lny4QcooedI2AgACCgoJoPtpcLdDQ0EBBQQGhoaFkZmae1UWMMxFVVVWYzWYqKiqk/4qKiujo6GD69OkMHjyY7du3c9dddzF37ly2b98OwM6dO7nuuuu4++672b59O4MGDWLGjBnHDFU6URQVFTF69GjJfel4aGpq4k9/+hN33nnnT5LmnKaTVj3oThRU2ciK8Z1eraurIyQkxO8P1IUj+7N1XT4h5nAGDHX7A344/zX6DR7B/u2bKNi5hW8Xf0ifvOFoAwPBFI2lpY3RmTrWFVqPPiQtR31wQ0m67Lc47B0c2b2Fgs1rufuePzNo+CjUgUYObvyEfVvXc9ft8wg9Wvk8WZztVm0L3nubr75YSnBwCOeMm8i+PTs459xJEBrHlfMeBDzT2ULTmRxhpCZIT7O1nqo6CzERZr/bPpb2MzQ0lH8++QyP/OMxKvdvZ5vOoys9Vmy0PB0P3HILuZOBQF3xAUYNHc7XZYWUlRaTkZrMqYBer6e2ttbve7kD+vHeO/M5/5JryOpjxhyk/D54E2RBTi02O8V17jCQNkfXFWOLze5DiBft8ej2va8juMmpyRBEaHQCfYJjpOMQNnHe24gPNiiq2mK/4NYXf7a/SiKu3qT48al9pG3JP7OwyGiye2dic3hIa3SQTkGI75+QycrDNVIlelS6SbKOk0eAVzXaiQnVUlBlk0i2gJhpOBMQEBCAXq+nubm5xzmhC2g0GrKzs1mwYAGXXnopdrudkpISdDodWVlZPc2LpymqqqqIiYnx0dAvW7aMhoYGnn76afR6PdnZ2Xz44Ye8//77DBw4kAULFnDOOedw0003AfD000/zzjvvsHLlSi644IKfdEzXXXcdCQkJXHvttcTGxjJ16lSGDRtGdHQ0ISEhWK1WqqqqOHz4MIsXL2blypX85je/YeXKlT+p36iHGJ/laGxspKaymkP7LSQnxLF582bCIiJxAe++8m/U6gDeeutNH5szjUbDX+79o/T3gQMHqC4vpk/uMEDFpFnX8P3KpVx9yYV81NrKkapqhme4SU18sEGybpL73IKO+FHjyMwdgdPpJDvGTYI7ps1kxWcfcNddd3H77bd3GQd8LJztHqPlZWXc8vs/0Nzawaf/e59Gq4XJV6YrlhHEBdzEatGeclyuUPoPHsE9d95OcEgInZ2djB4zlquuuOyE9utyuaitLCUwwEV7c+Mxlz1eAprQGQuYDBoqiw9zzu+uZ/Oa5ezdtYPBV13Z5fo/BVqtFrvd/7HFxcXRYbdTfPgAw4YMkazl/FWN5YRO/Fuk+/kjx95hJmIQstIrVQ/ckg3gaNOeOxyl5Mhh6mqryRgwTLKN21TcoCCw3qRYHLPwSAaY3juGbVUWhe2bvJrsPZABCLRVYgzXoNYG88KOSp/jFeuLqOjoIJ2i8VPuVS0fTAjI35f7I5/uISCxsbGUlpb+qolxW1sbTU1NREVFdbnMZZddxpdffklMTAzZ2dl+9f09OH0giLE39uzZQ69evRQV2JycHPYdjZnfs2cPAwYMkN4LCgoiMzOTffv2/WRiDHD++eezd+9eFi5cyIcffsgzzzxDVVUVKpUKl8uFVqulf//+XHDBBfzrX/8iM7Nr29gTRQ8xPouxcmcpr//rQXesaXAo1vpaOo6mhpnCIsjI7oelvp7HnnqWP95xB8HH6Hp554OF9M3LZ+emNQTqDegNRjraO0hMTCQqK4cjm75FFzxDekDmJ5oV5Fi8Lrd2Es1DVmDyrDnEp2bx5JP/4oUXnj/paZCz3aqttKqWwCAT0UlJXDUvg9aGKoJC3E1NgpBGB+kkPa+oQqpUKtJGTuHcCefR3tZGjaWRN557nClTpxMWcvwRdX19PX/7298YMGgYU6ZdyJY6j4Ri0Z5yiVCJijC4yY8gOuKzFsvIibG+swkVLmJjY4mNi6O46Mgp84k91myCSqWiX84gmhotisALi82OudUTYSwqtckRRgV5Fu95k2i5xMJk1PqtKM/oGy9VVkXzmdwH2hyXit4cw5GqWiqaWnzI67i0KEXEsnAGUTQDypr0hEOMHNZW970jPr/kCCM7SqykJA9i/qotrN+2H7VWjy4shvQU92c/Jy/Rp9LrbdEnBgXisx+X5iFRYl0xiyA/L3+OJ6cTdDodLpfrrO9p6ArvvfcekydP5tChQxw8eJC4uDgfJ4qmpibKysrIzc0lNjb2rJ7N+yVhDNT4bbbtCmGqriWLVVVVFBUVkZOTQ21tLWPGjOH555+nsbERk0nZQBsWFsauXbsAuny/sfHYhZSTgUaj4bLLLuOyy9wFnZaWFqxWKzqdDrPZ3O2zED3E+CxFSU0z8597lNT+Q7n6N9cC0NDSQXV5CW8/+zBJGdnMvvo6tn2/nk/ee5233vgvsy+5mB2HKgg3BqCLSESrDSQrxkhTUxN7d/xAn7zhpPfJQYWKRW+/SEpGFgBTRwxkybfrAaVfqbw7XTwcBXJjzIopVYvNzmJrJO1BMcz9+2u89zePkP5E0N7eflZbtbU2N3KkGUJ17aDWQ0SKIllOVOq8p+UFGRFWbu0uNYE6Hebg4w8i2traOHSkhNy8QYSERxISamZGjFaqCArLPfG5ioQzOVYerpEqiuXNrbS12mioqSQiJp4de7aR2asXarWaadMvIjY2jvT0dJ/j6C4EBAR06UPbOzOdusoyxWveFWE5BBkV2t+UY7gpeK/7ysYixd9yKzerjJTnJJmorT7M3l270EUl0GKxYjg6GJLreAWEh7TFZicFoyKhr6CmWfoMtlVZFCRVOk5ZaiEIyYWR0Iw87M0WxvSJZ0JWvLSsGIiJ77v8+x0dpJPOW9wTwu4tN8YsLSuq5PIBlrck5HREdHQ0VVVVJCUl/dKH8rNj5syZGI1G8vPzaW9vR6VS8dprrzF37lza29spLy9HrVaTmZnJu+++y5w5c37pQ+7BCSArK4sRI0bw+9//ns7OTv7whz9w5ZVX+o1aVqlUOJ1OwN1Qeaz3TwWCgoJOSZO2QA8xPktRXFSIQa9j6iVXSa+pVCq+WPg2ABUE839//T9ocJOB1Zu2sWrdBsxmMxq1mo72NgbmjyXzmksxGAwkpmdRUVzIDX/4M0OyEigsLCQ0NJTm5mbmL/gfmWM89jziYSk8U/3hs/2edKxks06a4tX2GU/72vnUNMwhKizE77r+cLZbtdnbbOiM7h8CeWVYwK1J9ZAkQZwADu/cyO6dO7jyN9fy/qfvM2z48BOq4Bw5coQnH/s7AGExCaSNnCLtX2y7uqVdMQ0vP7aawj1UF+xgX2sTdqcLBypWlh8hxGTG1txEgFrNnXffC0DvzFR6Z6b+2MtzQhANeP5+UNPS0lm99m0mznRJ55WT5CahojlRaHyl12ShGWajskqr16BoaBSk2dv9QzRMinAUecW6uM7GoD5pREbH8P7bb3DBxVcRFhQoDXIU0dRGreJ4qlvaJdIpnCbkEIMpcQxm2fqgDPy4f0Im2zd/h1lj81TIvQZhclIsqsDFdTbp3/L7Vb6e/Hyl12x29Ke553FISAjl5eW/usCPuro6Vq9eLcXvCvnaddddx6FDhygoKKB///5ERESwbNky5syZ01MtPkNw5ZVXcuWVHinba6+9xuDBgxkzZowPyXW5XFK6oVqtPub7ZyLO3CPvgV9UV1ez7Nu1fLP8S7IGDAE8uj6Hw05t2RGcWgOasDiCYqzYbXWkj55C4sARrCu00g5MGxBDReE+Nn3xAdtze5OXl8dT/3xE0cSXmZlJZ2cn9zzwVxIzehPdK0eSS4gHsxyiauQvOU2ue5x3wVDWduzn9df+y9133n7CP6pn87Sm3W6ns7OT+LBQ0qPdumx/+k05ARLyCltLE2++9l9CQ0O47ZYbyR89lhtvuP64+6ysrCQkJITMXlkYzDH0Hj3phI+3vLmVuCA93y59j4QBw7ng3HEE6QIorbUyamge4eHhlJYU09bWRv8+WSdzKX4ShGWbP2I8dHAur7/xBvt2biUgznNMxXXKZjF/muPqlvaj3zGbQtYg7bcLUixmTdzwSDPE5yqI6/tvv8HkS65WrCsnxeAh4eJ7V97ciskYLVV/we2qIf9bSDhE5VnYpsmJ6+ycWJIjjASPHAG4+PSD+cy8zFMBjA82kBUVrBgYCcg15UKqIarGAuL85VHW1lb7aR8GolKpiIyMpK6ujujo07/C3V2IiIhgwoQJCgegxsZGysvLiYyMZPLkyezatYvAwEAGDBjQQ4rPYPTt2xdwD368LQobGhqkBNKQkJBjvn8moocYn0VYtXErLzz1D3r1GcDQyZcxKG+IgkABTPzjExworcbpcDBiyiXkxlwvVXgFQVWpVOTm5FJ/ZB+FhYVSvKe3s8Ujz72GtbWVqZdfKlmCCQLhnY7lXeWUyyySzTqF1vLiy6/mn3+5ly3bdjIkL+eEzv1stmpTqVRoNFrabDbA49oht0WTV4vBQ0p2791DZEIq/3z0YdpaWwkKDibwGN/6jo4OXn9zPhvXr0UdoCFArYKaGi6+4je02FXSZyim+sW+i+rcswPbqixU7tvKt8sW0mlv56JzhvmN+05MOjXuE8eCXq/vUvemVqsJCw/n3Vef5TcPPkdMsF6h9RW2anJZhbjmynvb41IBviSvK1s8b6cGAGttOWt27ZFIsZBcyMm5qPIKQi4/FquMdJ6IbleqVB+1WpydE8vQ5DCsNrtUFZ152Ry+W7+GrIGez9T73gNPX4FcamEyaBmXFiXFScuXk2Pl4RpWHnbrr09nghweHk5BQQFRUVFn7W+PP6xfv54RI0ZgMBgoKSlBo9GQmZkpVQjljVg9OHMwZswYbrvtNmbPng24fY3B3Wx64MABGhsbJdeoHTt2MHbsWMBNoFetWiVtp6WlhUOHDtGvX7+f+Qy6Dz0+xmcRDAYDARotpsg4emf2kqY3wrTu7s0SSyM1RQdpLD/C+P4ZiiYc+YNTPEgDdToOltX53deHX63n0PbvOO+y3xIXGiRJJ7wbcoRuUE6UvR+EoplLHIPBYGR4/gj27d1zQuftdDpRq8/eW1mj0RAan8KaH37AZNRSVGejoKaZgppmSVNqbfX1DzYbtagaSsnN6U97i5WmpqYudbAOh4OGRhsPP/IoNdVVPP6vf/P8i6/Qt19/VMAPa5eTk2RS6D+tgizKpuDrSw6xb8UnXDTnFv7yyD/IGzzE7/6OFYhxqiDS77pCYYHbxmzfgf3S/SonfUV1Nopk4Rziv5QIo0RIC2qaFYQalJViucVaTpIJs1FLTpKJnCQTJoNWcpwob26lodHG6LETMBu1bg25kEwclXYUy+zQwCOJEER0U3GDImlwR4lV+jslwij9X76u/HdASDHE+6KibDRH0WmzUrRzE0dq6vh4u0d2IWwCwTM75D2DFB2kU/z2iPP11xR4OkOtVhMSEtKtTUZnAsaPH8/OnTs5cuQIcXFxpKSknNHT5j1w4/zzz+eBBx5g/fr17Ny5k3nz5jFu3Dguv/xyIiMjmTdvHvv27ePFF19k/fr1XH755QBcccUVfP/99zzzzDPs37+fO+64g6ioKEaPHn1KjnPbtm2SI0ZZWRlPPfUUS5Ys6dZ99NzNZwCcTif7ypuICHU/cLqqogwbmM1v7/k7Kz5+i1cfuw+HvYP8CVOJjAhHHZnCzjXfkHveTKJSPE1y/myUxEMsNCGTjUsX+FRjlyxbyf9e+w/9J1+JMcTs04DjLwRBvAee9DRh7wSeKWrRld8ZoKfZajmh63O2W7UBBAaFYm9tUYQ5CMgrcuLaiunx4qLDnHfBVF586WW2b9vKK6/PVzTetbS08Kc//YmmpiYuuuRS9u/by//96xUsDi2hajUlpWXMuPgSPlrwHhPGjyc8IoKcJJNkJyYnjs5OB7uXvkef82Zx6aQRp/aC/AhoNJouLdvkqNj7A6Z4jztGSoTRr04XkLS5OUkmdpRYJXKcLLMt02vcDXeiEptsdhNDIWswGTxV4PLmVtpamojQqKhsqGJbq4Hx6dHStrzJokUmpRDyCpPBrf8VhNNfEIvQ9orPT1Ssvau/Yn/uWQGbW7vcN5vOTgfn5eezeudutDo9EQmpzBmSQnGdTUH+hyaHSWS+qM6mIOrieuQnmhW/RcWWdp9Y6dMV0dHRHDlyxKcr/2yEy+Wirq6O6upqQkJC6NWr16+qUn62495776W5uZlZs2bR1tbG+PHjef7559HpdCxatIjf/e53DBw4kISEBN566y3JVjUnJ4c333yTBx98kHvuuYeBAwfy6aefotV2/2zPO++8w9y5c3n99ddJSUlh5MiRGI1GKioqePDBB7nzzju7ZT9nb5ntLEFbWxu33XEnj95zK4//4288+tcH+NdzL7F20w4qLMrqV1Wjnd5J0eSOPp+0EeejCtCSlt2fjJzhVB/YyQUz/HvXek+zCgLbv09f1LhYtnqj573yct569T+kZ/Vl0thxEinzbq7xrgrLIR7a4NE5Fnv936HS0HGM6p4cZ7tVG4CquQFjWKTP61lRwR73BJl/7LdfLmLeDVdReGA/vTPTiYlxm7bv3b1Lsf6uXbtQqwMYlj8Cp7MTrVZLa2uL9H6oyYxep2fIqHN54onH2Xq4jh0lVsVAKjnCSE6Siea6KlQBATw4Z1q3n3934FgPcXnzSEVDC+sKrYqoY/lgT14BFddh/uYixXdAaJMBrnlvhxR6U1LfptDUy5v2Fu0pp9jSTlG1leKaWjapEimxdih0uWKGwLthTVSzi+tsmIxaBRn2JvUikQ6UTZve2xRBIJajpFZa36glPMRAn5QYLhiRj8vppHjXFskqzvu4lu+rVqzvD+IelrtliMqzSAz0F1v+S0Or1RIQEEBrq2/vxNmE5uZmCgoKsNvtkq9tDyk+u6DRaHjssccoLy+nvr6ehQsXEhcXB8DgwYPZtGkT7e3tFBYWcsUVVyjWvfrqqzl8+DDt7e18//335ObmnpJjfOSRR3j++ee5+uqr+eijj4iJiWHPnj28//77PP/88922n56K8WmOjVt3U11RxoBBw0jtM4hAnY66skLe/O+LZPfL4fKLp+FwOEhNTaW0+Aj/efZf6PQGVMFhhA29gC+3HSCk2o4qrBejQwyo1WqfBji55k+O8BA9g0ZNYP3qbzl/rLsC2NLSQmR0LHPn3c2+SiuxoUa/jTfe2yu2tJOfaPZ5XZ6oJYcpyEBzZccJXaO2traz3jy+2drAOX0zyEyNV1hqCQhJg9RI1VCPwWjkjjvvJjEuitCjFa1+fbJwOBxs376djk549513mHrxZRTs283GDetJSEgkIToStVqN1WYnMyOd4uIibrn+aubd8SeOHNhDRh+37lsQKVERnJgVxx6nA7vdfkqqBd2Brizb9u7dS1tbGxlDx3Fo52ZcaUMJCPQM7nKSTIpqvRj4yd0b3I7cHtw6IkVBrpPC9VJqnHBlmTcyDYBHlhdIyzVWFhGYmUMAHi3+ysM1zOgbr/D/TY4wUlBTLa0nrPuSI9yEd1xalESqhQtF0VHC7h0GA57B7QMTs7jpwx2AkkQLiKARcBPa8Phkmg3RLFixhrDYRA5tWce5k6YTqvIwWbFteQCIwMZSi+R5LkfxUcmQON/T1a0iNjaWqqoqHy/fswEdHR2UlpaiUqlIT09Hq9Uybdq0s36GrgenJ0pLS5k0yd0IvmTJEi6//HJUKhV9+/alstI3hOjHoocYn8bYvLMAg8HIkFHj2LxuJVFjLibMFExa7/5E9x/Jx8/+H5vWr0Kr0xMbn4xeF0hkUgYXX/VbVCoVC5cuQZuRJz2MlSl0bng33IxK90wJfvTuG2zfuIrx53ms2FJSUmhqtLL+269Y+vH7TL5sLvG9B1FUU0dlqRW0nvXbmxsp3b6eToeddmMkBfZU6jRhpIR5qrvC0k0EAIjjcWr0VNYpiUZXaGtrIzw8/CSu7JkFu91Oc5OV5PhYd+XNv+xbunautiaOHNhD3379ye7j7iy+cPIkUlJSCQ0N5ZtvvuGll14iq3c2AwcPZ9w5ownSa1m36huunnOtpNfu7OyktLSYQwcPcvGsS4mIjqOl0aJwMQBPk1dsXAIJiYksW/EtUy44/xRflR+HrpwpXnr5FZxOJ/93xy1cc/XluOztuLR65v7fU0QMnkRnewsaQwgulxNHswWXy0lgqG8FXw4laYaS+jYpQll8355bf5gHJnpcMJLNOkaOyMNhNKNWu8m7GEx6B6pwND1POEMIWL0qyt7ypuqWdr+vCewosTIq3cS6Qit3L97Ly5fmKAZi5c2tiibCA8WVWMsPk5WZgUodwIjR4+kdHcKyJZ9w/tSLpf25EeaWfBi0zMlLZP7WUp/rJirr3ogO0mFt1fqNt/8lYTQa6ejowOFwnDVa287OTioqKrDZbCQmJioKD2+//TY33HDDL3h0Pfi1Iicnh//+979MnjyZJUuW8OijjwLw0Ucf0bt3727bz9nxLT4L0dbWxuMPPwBAeKS7OhN/NKmsuqWdepeG+Cm/JSHMyLDMVA5sXcfShe+ROHAk26utxAcbuOiCyaz5+jOmXzCTFza4NY65MZ7OdVE1Eg+tpHA3YRWd45UNVkxh4WxY8y15uQPJHzqIwMBAho8cw9KP32f6zItZ+eXHmLdsoKqsiDXt7WSMvgCDOZLiDV/TbKkje+BQWm3NFG9ZTdUa0OZOQTVoJMlmXy/elYdrJHJsMAbT2tJ0QtfKbreftVZtAFarlYAADRsOlGM8GvDgrc+2Hq0I1libeePl/zAgdwjX/eYKViz7mgMF+xg7fgLr160lPjaKrKwsAgMDyR89nqEjRtPY6qD3gMG8+vp8bA4VJqOW+ro6nvjno1gsFlpamt32aq02AvWeKqrw3hUwBwVyweQLWbjwf6ctMfbnZVxaWkpVZQXTZszEHKwnMjqWcTlJLK9UEzH4fFBB44EthGTk0Vy4naDkvuByUvPd50QNnya5N4BHKy8qrt6w2OzkxpgZl6aVSKGoFgvt8e6t+8lOcxERkyoRXPEd9Tezo4zZ9lRUveVNYmAs30ZX8csz+sZLko/5m4ukAbX3/k0GLb3TEikOi6JvonuZidnRWG128ocPZ/vOXZwzLI9Fe5TSKSGdmN47BrNRq5CLCFLsPYg/nREVFUVNTY009XymwuVyUV1dTUNDA7GxsSQkJPhIJq699tqzahDQgzMHzz33HFOnTuXvf/87d9xxB5mZmTz88MM8+uijLFq0qNv203Nnn6bQ6/W88sor3HzLLdTXVjN07CRiQzyj9o2lFvQRcQSZdWi1gfQdNp6WmN4EaAKlaV61Wk3qoDFUNNok0lvd0k6Qs50ta76lVR1IWm4+KpVKmrLNjTFL0opJl91Azc51rFm2mE2bt5A/dBDg7kI16LRcefmljBh7Pt9t+o4Bfa+noqKMjz5eiNbRzoyZsxg7YjCfrPiOrxbOZ/B5F1FjjKfaFUpJfRvJZp3fh7x4QB6saafeemIV47PZqg3AoQ0ld8R4lrz6GFMuvY603v0VvrrysIlP3n6FAI2GlpZmbrnlVpJTUkhKTuGZp55AE6BBF6jhlltuYdrFl7Fp03dk5Q6XyJROr0dQrA/ef5d+/QcweFAuBw4cIC09A1eHjfSEaJ/IYaulAZsDrEHB7N27h7jY2J/1+pwM/Fm2/e1vfwNg9mVuc/tws4mOVhuzczIB9zS+aVo/7l68l7AB50izKq68TEp2/8COvXVEBw1SOEe8dWUObQ4P6RVkT67nnzcyTdIVC5iNWoYPG05aTCiNrQ4p6tvfd0U+wyI+Q5NRq3DFkIevgK+NojfEYPlEHCHEMuL4RQOduAatUdFYHYG8s+ADNGk5GEJMitQ9IdMoqGkmN8ZMSoRR0jXLj0V+3UwGLVWN7v2eTlZuZrOZffv2nbHxxy6XC4vFQmVlJREREfTu3bvL81i5ciV9+/YlPt63qbMHPThVcDqdfPDBB+zZsweXyyXNEl900UXMmTOHlJSU42zhxNFDjE9jmM1mLr3xT7z/n3+yadVXFBTsJWfaNQzPUHrAimY3rd7oE7LhaqzhyBELmNxaxuggHbb6eiaeN5n1+w6CywWyH0BRZYoPNjA0OYwHn19Gc3MTzU0eMhFhCuL6664BICMhnIwEt9RiQFaypEUGeObLLXz30VvkXXw95vhU+h19SBdb2iXNsbzaJQ8W0ASZ6GxtPq5e9Wy3agOINQVy2803sGVTDm+8/l/i07K4YNa1WGxaqPOQhvrmdvbs3Mbtd97Nqy+/yO/vvI+EpGSK6mwMGDcTs7OBJx/7B06nkyHDR/HpR+8R6LJjMhrdU+V1bg2oyailztJIQKCe9F59yMvLc0e9lpVycO8OQgyBdEZFsfWHLaxZu4bS4iN0dnYSFBSMs7OTJ5984he+Yl1Dr9dTU+OpTq5ZswaLxULv7D5ocNDS0oKtrZ0Yg1pKbROk8/GpfRQVz+QII468RJZsdWsaxHs5RhNtDrekYU5eokJnDMqqrnBykGPlsqVoJk6EwCDFcnKNszIcxBcieEQsC+7vlyCxxZZ2pveOkXTH8pTKoclhima5OUNSfDXtR++559a7zz3ZrFPoh602OwaDkVZNO7HZgzA426g9uq43mRfEXT5okEu6AIUNpHy25HSBSqUiLCyMhoaGM07W1dzcTFlZGcHBwWRlZR03yW/8+PGSx20PevBzQa1W8/777zN37lyys7Ol1/v379/t++ohxqc5YiPDGTx6ItVlRyg5fJAog9ZHgiCHpD/ETW6NcWkEGhqp/3YxoTnjWV9wmPayQ4wbNwF9ezPhthoGDuiviG0VD54jtS1YGurQarWMGjvhpI9949JPUKcOZndbGEmWdp8qlbfGUf4AT40ModgQRG1t7TGnJ38NVm3gtvzK7JfHAw8/waMPP8jOPbtIyOyrsGozGbTEJSRRV1uLXm8gwStEo0FlRqvTsWvXLvr160dnZyfNdqdCDmFtdVf7ps7+DQvnv8SXXyzhstmXoNVqueGGG9i1Zy9vvPYy1VVVZPfLYdqUCxg8eDAajYaqqipMJhPBwW69a1tbG3fdfQ9jzhnLxTOnnxZTrxqNhpKSEt55933q6mppamwkq08/mhobufmWW3A5nWT1G0hSWoaiCgtI5FAMHgA2H6ziyN4dpMVOlPYh/IKTZcsJCFIoHBe8CSfAsFFjMZnMEskUleg5Q9wVEUGkhc5b+Fh7S1sEsRfIjTGTG+Np/JMPRFMijNLfm4obFN9NIaWQ/+7M36y0n5O7SQhSXd3Sjr2jnXqHi7aWDkx6z76EL7I8qU++TzHAT4kwKuzfxG+I93U9HRAZGcmhQ4fOGGLc2tpKWVkZGo1Gaqw7EajVampqarpV09mDHpwIpk+fzi233MKDDz7odwB3zjnndMt+fvknVQ/8QkwXfv6/93A6O8kbfR7Dxl9IWnwc1S3uaquAd6qcQHlzK/HB7tCP3PMuwlJVjq2xjci+Q6ixdTBoYC7W+lqqKsqwajzaVYA9Ryqor6kCl4sLpl3EsMG5fo+zubmZjo4On4fBmq0FBDaWM2L2NZS1uKTjkcM7lc8nRjo2lsrKymMS41+DVZtATKiWKoxExqfQWF9NAu7GOnkFLjw6lobGJhoa6mhpbsYR4JmKNhm0pKZncuDQYfr3709IqAlrVQlRpj7SPgQZjAk3ER4RSX29u9NPrVYzfvx4xo8fD/iXryQkJCj+3rdvH41WC7t27mDDurXccNPN9MvudQquzImjtraW7du3M2LUKOLjE4iNi5f0xhW1FlxOl3TN5ORLEFh5VdNqsxPo6mDciKHS68KHW8BbayyvdFq9BqMAUQYXK1d/Q0d2NqbIOFKi3P0FwnLNW1qQHGHEZDgqaThql+YviU74EANdNr3N6BvPoj3llDe3MjQ5jNk5sXy0o5J1hVZF1VjM+gjISTEo5RplhQVYOyE6xS1LyY0xS37GFpvdr0QEPKmOghTnxpgVnuuno0OFRqNBp9PR0tLiN3b8dEFHRwdlZWU4nU4SExNP+vdTpVKRmJjI+vXryc/PP+tm7FwuFxs2bOCtt97C4XAwePBgrrnmmtP6M/214MUXXwTcch5vqFQqOjs7u2U/PcT4NERVo53Va1azYdUySo8UAtB//HTSUlMVHsHeFmfidfHgSjbrpES6bVUWzDFKTZhW625Yq2u0QYgRW7OVXpEpOOx2Xv3PP9EEBJA3ZDjTpk71m1K2fssunn3iUfRGI2++/privX2lVWhDzCSFmQjQKh9+cgsquQbS+9+uXr3Z+P0mKZLaH34NVm1yWFvtxIeHoNf6kiSn00lzYyOBOj19+/bjuzXLGTzuQokUm4xatAEq7A63pdqs2Zfx/L/+gU6nIy4hiZGTLyUlIpu1q1cx/83X6NuvP7NmX+73OE5ER9nS0kJcXDx33n0vy7/+irde/y+PP/5Y912MHwG73Y5KpWLkqDE0tzsJMmoliUJ8sEGR7OcvTMX7u+dwuCOfu/o5vn9Cpo+UQlRLhZZfzJQEa+H7DWsZM+ECd0KfLkhaXqC6pV2RSFdcZ5PIuPA3lpNvuXuIPOVOvj0BOekXDhgCjywvYN7INCnIpNhSJVWK5ZV1uQSjo72N4emRbO0w++zD2wbOn+ZZ9BsIUizORcg/rK1aqfIuIH6npEhum/1n1SLHxsZSXl5Oenr6z7bPE4XD4aC8vJz29nbi4+N/EtFLTk4mOjqaRYsWMXbs2DOmSn4suFwuVq1axYoVK6ivr+eWW24hOjqahQsXcvfdd3PPPfeQnPzzR9n3wAO53/ypRA8xPg0RE6pl8/pVODrsXD73FopLSkmICFNMO8YHG/w20ogHttDx5sYgLeMvkc5hNLN98zJiEpJZ/NqTfGo00qtPf5KTU3jg3ru7JECffr2GT99/gzEXXMR3K7/wef+K8XmseP8ljtTUEmgIUhyD0r7JA/lrQ5PDKKzI4/t3n0Gv13P1lVf4neprb28/K36UTwROp5OCPTtZ8+1yZs65VUEWTAYtyxYvxGlvY+K54+nfpzeP/f1hSkuKGTTmfEKze9PU1MSuHdtZv3YNalcns2bNIiMtGbPZzKeLPmf39ys5L38A27dtZfZlVzB86GCiwkN/9PH269ePFd98y59u/z3msHCio45tb3Yy6Ojo4MCBA2zdtZ+6mmoS4mM5f+K5hIYe+3jVajVNTU3UWZppQ6uYpi9vbvVLhsE/cTMbtVg7gthXcIghw2P8rmcyaBX+xYv2lCv8heODDZiNWhx2O6u/WsS5U2exZOG7TJoynaVfLGXq9Jk+FWBvqYPJYFcQTVFdllu4FdXZfDyE3b8PZqkfwWx0JyeK3xX5PsTxW2XEu9jSjsmgJVinpszSzgcfvI+mdz6oVFyQYiQ4KJiDRUpnGX/VbPn1FDZxj644KOmMRXXZW2csjkcOK56GVPAMQn4uize9Xk9nZ+dp5eXd2dlJZWUlzc3NxMXFHfc7ciJQq9UYjUYuuugitm3bRmFhIUOG+I9/P1Nw6NAh3n33Xa655hqGDh0qSfR+//vfs2jRIl566SX+/ve//8JH2YOfAz3E+DREVaOdTocDW6uNqpo6RkyYSo2tQ0EcvYllV3ZO8s5ueXVIvKZWB5B3znksePxujEYj5vAIEpLTmDp9ZpekuLGxkf+9/V9mX3Mja5YvJbvfQJ9lgoODCUvMoPrAThJz8pX+qyiJhpwoCCzaU44+xMTwq2+nZMPn/PnP93LzvD+QmZqkWK6jo+OstmqT4//++gg7d2wjIioaY3AI4Ekuc7lcfPbpxySnpPL3h/9CS0sz9z30V37YvIkPX38ep8tFR3s7Wb2z2b5tK0mpGajVapLTs9BrYOSI4bz51nwAOuwdFBUd4e233iA2Lo5bbr5Z0exwojCbzTz04APsO3iYgwX7GZg36Cedv9PpZM+ePfxv8dcc3L2VyMho4lMzSIiN5dOP/8eHC94jPz+fa6+9tsvB0r59+wg1mQlUOahs8buIAt5JbN6a4JBQE86oaL5bs4J+/fpjMiYqXDtMRq0iMANQkOIhSWYcdjvfLFvCtdfMobjOxgUXX4lKpWL0xAulbcjh49Rw9P8pGBUVW38x797kWD4D5Y+0vnxpjo8cRD6YMBm1fPjRQoaNGI06cyiNdVW0NVmpMSTyWX0txlCztOyMvvGSFlocryDhIrAk12ZWJAPO6BtPUZ1NoYf2HqQInbX8mshfNxu1itQ8f7Nf3YmoqCiqq6t9pEU/N5xOJ1VVVVitVmJiYoiPjz8ljhkDBw48I504vFFeXk5qaiqjR4/2eW/EiBF89tlnv8BR9UCOuXPnHvP9119/vVv200OMT0PEhGq5+qbb+e+zj/Pt5x8QHxuDOtatzZQ3vMghJ5fey8gJsb+UOmdnJ46Odt5+++0TamR75c136Whv5evPF2KOiOZPf7jF73IjR43j268XkTBgmF8iL6aQ5ZUgb/x2XA5H+qWzcdUyHvnbX7jq1vs4b3CG9P7ZbtUm0NHRwf69u0hITKTdpaGw6AjxKRkSETAHBXLfg3/hu43rWbdmNaEmE//+1xMMHjqMgbmDmDjpAlSouP/PfwLAYmngyaeeJiY6hksuvZyktF6UlZZgs9lQuWD1ym8BqKyoYNmyZT+KGAtkZ6aRnZn2k879088Ws/jLr1CpA+idl88/n3gardHjXOBUa/n8o7fZuHEjGzduZMGCBT7aR5fLxVdfL+PcCRNpaLKBOlS6B+XVdzlxBQjVa2hvrqelxUnRof0kRYRQa2lkT001aZlZFO3fzYzpU7Hb7Sz86AMmjB9LaXUziamZPueyrtAqVUKjg3Ss27CRlNgwhoy7UBEjLf/OCg2x+M7I5Qjedn1mo1bS7nvPzJQ3t0pNgclmnfQ74Yln1ymqxtuqLEpN9NFBmPz3xWqzM+Sc81BrNAQa2gg3JDNupPu3yCgrTApSDO4qb1cR0fJQFKF5lkNsR07i5ZILf3BLTDyNkxi1p5Qcm0wmKisrfzHHHKfTKXkRR0dHH9N6rTuwZMkShgwZQuxpbNN4LFgsFgICAli8eDEXXnih32XMZjMAmzdvPuMr42cyXC6Xz2sOh4NPPvlESsTrDvQQ49MUuenRXHbtTSz//H98+NZLXDL3djAqm1zkOuKuyKX8wTguLUr6W5j9u6UNYI6O49ChQ/Tt2/e4x3bpzAuJDQ8hMjKS888/v8sf/wnnjOT7bxdzeOMKtIYgAo1BxGQpq8tdySqEr6nVZketVjNy/CRq6xv4dvEHnDf4PuDXYdUmcODAAQCqKytwuVzs2LCS9IHDWbPsW6bNuNitPY5PYMjQ4Xy3cQN1tbV0dnbS1NTIujWrWfntCiZMdIdu5I8YyeJFnzJk2DB2797FgUf/xsTzLyAmNpYd27fhdDmJjo7hwgunMHbs2F+0ufHgwYP881//JtgcTv/JV2CKT0WlUrGt1gl4JAWZuSMJXb6Ui2dMw4naLxF44IW3qWxoJDYzh2ZrLeERRgIDA6mrraHdrqGospXi8gqsdh1Fu7Yw6/dz+XDBe1x0+TX8sHkzGbkjMBl1xMUnEBefgN4wCJNRy/Acd3e+TqfjktmXYbVaCAh0sm7LLpJS0/1WYgWJCzCaCIlNR6VSKWKbAUVMsvdAWEAuJZCvLyRL8r4DOEoijybmiYS5pHA9yWadR4t+1PnGX5iHP3z84XtE5V8gXfPkCKO0D3Gucps7k9FtM1jd0u4h2RFGRWU6KVzv141CNO4Jv2Z/zbviOsgjs4XH8s8BuXVbRETEz7JPcP8e1tTUUF9fT1RUFNnZ2T9L0WDkyJGEhYUdf8FfGDabjZ07d7Jt2zYOH3Y3IDc3N7NmzRrsdjtZWVmMGTPG77qBgYHceuutvPDCC8ybN4/c3Nyf9+B7AMAbb7zh9/UPPviAd955p9v28+tgFWcoxuT24pY//Im+AwezeskHWLcsJ8ZykOIqq/RAiQ82KKpLXRn3xwcbpNSt3BgzxZZ2PttfxWf7q9hYaqHNFYDD4fC7rjeSk5O5+uqrueCCC45JTOPD9My47Bpqdn+PuraInYvfwdHRpjjO6CCd30pPdUu7VGFyd95ruXTWbGrLiti6Yzfg1hf/WmQUIgf+nLHjGZibR99+OcSbgpk66TwaKorYs2U932/ZRmioicbGRoblj+BP99zHb2+6hWuvvZbklBRKiosBGDkin87OTrL65XL/Q39lYG4eixd9QmVlJa+98iL79u3lzjv/yOTJkzEajX4/Y4fDgcViOWXnW1VVxT9ffpe//O0R+o2cwIQrb2HcoDyfB73QxqbHhHL5ZZezYsUKzp94rmI5l8vFU299zM7ln9Bn0mXMf/cdnJ0OVq34mk5HJzZrHZFhIcREmuiV3Z/g8Chyzp2G0Wjk2rk3YDJqmXzhVPR6A6kZvdAbDMREhPpIHKxH3RKsjkCM5igqy93OD95hGXOGpBAZ0ExLxUEite1onR0+sgc5KQYULhBygnoiQRxyrbEcIvRHbF9UzOXbFD7FcswbmSats6m4gdzzLmbHikU4Ox3M6Buv0GmL3yezUSuRVblrhyD88nUEUe8K4lqtPFwjkfdxaVFK3bVMZwxHLfbE+R3D/7m7EBkZSW1t7fEX7AaICvH+/ftRq9VkZ2cTGRn5s82krVy58rSftfvggw+46aabWLx4MZGRkVx66aV0dHQQGRnJY489xptvvsnf/va3Yz7PBg0aJJHjhoaGn/Hoe3A85Ofns2bNmm7bXk/F+DSGsGy76w+3svibDRQWFnJk2wbaig5huuwWTLFJioeBXMMrOsa9H7jy90XFGaBC5TolPrMD+vVlwFMv8ObXa9EWHqasBVICPccjjlve9CNey4oKxtpqlxqH2lwBzLxkFgvee4eB/R/9VVm15eXlcc64c1m98huSU9OpKiggZdAY0uJjCYtLITXdPW1vMmp57MmneeONN1m5dj3DBucyZcoUpkyZwnebfmDhRx+Ql5dHWUU1Lz/3L0adcy6zZs1iwMBcXnvlRfr2z2Hq1OlEmP2TKXA7O/zlr3/jQMF+nnjiiW5NHHK5XDz73Av8sGUTsZn9Offym4hOdktnuvLvFpKCkaPHsHrdeu76831Mv3AyOp2ONRu3ULB3F2h1nDP3Ls4Z0I/qzCyw1zB15iwABg8ZitVmZ2eVnfLmFgI0vpVFuXfwsTx0BaksqrNhCgunvLSIL0vaaW+oobWikGdunMabr/+XkefPJDg8BlNYOPERRoKOyguK6myKSu0DE7Ow2uxS9VRIHEQjq9moVWhsra12cpJMCiu4gppmnwQ88Ni2ica6uxfv5dYR7s9SpO2J9+TnJsfGUgv5iWYGnDsNm9XCiq+XMm7MeZK8QWiHwVPd9vZWLrZUSbpip8POmJBOilASY+/GXDm5ntHX7bYjJ91CXiIaleXXKDnCSJvj1GqNAwIC0Ov1NDc3S77e3Q2n00ltbS11dXVSWt0vMYOWk5NDa2srBoP/oswvjY0bN7Jy5UqeeuopoqI8s66DBp18z8OgQYMYNWoUb7/9Nrfddlt3HmYPTgDFR4s7crS0tPDcc891q5SnhxifxogJdcefNrSp0Lgc7N681p1S1+mgpb6KPplZiuY6cGsYRSVI2KGBr7UboLBbqk+Ko7S86oSkFCd7Dpt3FlCw8jNCew8mJUyvCPIQxyf+7e2RKrCpuIGsqGDSBuSz+ttv+Oyzz8jPzz9tf4y7G8bQcC6/8mri4uLI6t2HD5d8zcGNy8i7eq7CkgugzhnC+JlX8+o/78V1281SNWf40EEMPxrrfclF0xk2PJ8PFrzLbbfciMFgJDomhvPOm0TQcR7ke/bsobGxkcuuuJoHH3yQqdNncumsi7vlPF9652P2HTjIb+99nECd3sfn1999XFRnIwU3+ZpyxU3s37GZVxd9S3t7OxNGDOXcK8/BZgxjfLrbiq26pZ2GNgemljbU6gBMRq3k5CDuR7lt24lAkD75Z6HWh7Bu7Voc8Tk47W0MGD2euPh4rp17g7uJT+exG7O22iX3BXH/T+/tdrowGbU+elsxCPa2OBTyI3GtvAcT3hrlOXmJWGx2hbZXvqwgrLeOSJEa2Sw2O9N7x0hBIUOTwyjf00pwWAQxceGKRlp/1e2cJBPFRyURAG2N9bhceuq3fcP1V1xKfXUxYZ2FxEVHEJ3sHvDJA4j8QVSIxfWU67XlBYPcGLPHseLoeqeKIMfExEiJct0JuWQiMjLyFyPEAm1tbSc82/hzo6WlhVdffZU77rhDQYp/CqZMmcJdd92Fw+E4LUKLfk1ITU31mQ0E9yz2m2++2W376flUT3PEhGp5Zf4Cvlv9DZdf/3uCgkOo6ghAZwiSKkYWm51tVRZFN7cc/siEIKfi4VFT10BIN9j4eMPlcvHCs0/Ra9BI+o2cSECARlEZPhbmby1leu8Y6YHofshquXLu73jkgbuIior61TRC6DWgNwdz4bQZAMzQBPHc3x+k5PA5kJYpkRah5WyorSZQF9hlc+LOPQWUlBRx4w3XY738KsIjIgjSuZOE2ryecZ2dnajVHt3upk2byM0bxIXTptPe3sbmTd93CzGuqKln7deLmDz3TgJ17sFdVlSw1EgGyntZOCzIq6XqgAD65A3nm7ZYGhpsDBvrDi/xJlWuAC0NjTYizCEKpwl/hFhOnEQyICj1vd5NcDlJJnYADnsHlw7J5gW7QVF99YYI4Ojqu2E62hQnh7/mOtFAlxxhJAWj4ryFbr+oziYNqIXEQeCFDUXcOiLFZ8D92f4q5o1M89s099z6w9LM07bv1xLcfxSqo0RNfq2kIBqjZ0BwuLqRwbpGFjc5MfcdSUJYCIT1c1vYORys+uITfnP1VSRHuENWqlvaKaqzkZNkUuiYxbUXrhfCI9obouIuCgJWmx3x6Xe337Fer8fpdHabc05nZyc1NTU0NDT8rBri4yE5OZlt27Z1qc/9JbFq1Sp69erVrbHB0dHRhIeHs2/fvlMSR9yDrnH4sK+0KyQkpNstW3uI8WkOl8vF8sUfM2nWtYTFp1Pd0o7OoNQNdkWK5R334qEk7KfkDw5HRxtlxUcY0Lf7Iz7b29tpsdbTe8g5VLXaKba4m2X8aQi9ZR7gfiDnJ5qZmB0tEZGOdvd7LpfrV6MxlsPpdGJtqMcYHEJpeSUhMe7pb+Fla7d38OErTwIwb95tXDP3BlKT4omO9pC+h//yAADfLP+aJ594QrF9OREsLy/noYf+D7u9g+SUVNIzMqmpqycnJxdwP6ztHR0/eSq1tLKWF577N8NHj2NYX7cDi0VGprwhJASgjGgWFcrKBk+zF7hJpBg8ZEUFU1Njw+VQanvlwRnya9DmwK8dmBzeulVREb1h7lw+2rwf0c5x04c7JLmCHCajls/WV0l/i2rxjhKrmwTK9i3Owx2X3Oq3r0AQRUH0i/0QWuFfnBUVzK0jUqSqsfjOVbe0S+l3JfVtPLf+sHRc4PmeCsKfbNYRkjOGH778H3mTLlGQNpNRi7lVS63VRkxwAE6nE5sdln/2EZdeOYcvF++VlhVNgKAle/gEVm07SFpSvETgvT8DOVnfVmVREGZwa7rF9RCzaKJpT259dyqCQKKjo6muriYxMfFHb6Ozs5OqqioaGxtPK0IsYDQaycrKor29/YRcjX4udHR0sGTJEn772992+7YHDBjQQ4x/AQjZXltbG4cOHaKtre2UNLj2EOPTGB0dHbz0xjuYwyPIzc31SdcSD0g5KZ6d49bZZEUFS1UoOQkWFTjwJM1ZSg8TE594SrRw4ody4aJFpI+erHgvPthAVlRwl7GwomNejqI6G/v37Sd/xEiioqJOqwfEzwGXy8W9d/+JFlsLEb0HY4tOl6qMwqqrocXFrff8lUCdng9ef4E3XnuVlpZmxo47l4tmTGP9d5vond2X2ppqAgO7fpBZrVYeefRRps6YSXyvHOrLiyjYs50D+/eREJ9A0ZEj7Ny+jbKyUpZ9s5LpF07uclv+YLFYWLbiW9auXkV9fR15Q/OZeOEl0vuiIiyIktzZAPCRkHhrf2PDPA1XykAMLeEJ4ewrVnpny9eXV839kd6uHBrEd1KgpaWZ2uJCMHqs217YUMSodJM0cH1keYFiGw9MzAI8MdRWm7tK7b1Pa6udGX3jfarV8msFNp+UOXGfyCUP8kGB262iktk5sQxNDuOjHZXS66JybG21S4PsR1ccpKS+TRrs5k26BJezE1WA7+OlsqwYGpxUNLQQHhnNb2+4XnF9hVuO+I2KMur5YcMqIk1BmDVGaRAkiL47yKjK70BbnsonIHyRvRP/TpXuODQ0lIqKih/loGO326msrKSlpYXo6Gji4uJOy987jUZDcHAwn3/+OdnZ2YSFhbFz505Gjx59yvTVJ4J169YREhLCwIG+Pvs/FaGhobS0nIAReg+6FQ6Hg/vvv59nn33WnQ6Km2PMnTuXf//7390mbekhxqchOjo6WL9+Pe+9vwBzVBw33vEAibFRHKltoaShkcGJ7geSd6VYPgUqkqL8ySiE9jArKpiJ2dGss1fyzd4TT4aqqKhg//79ZGdnH1fw/ur7n2EMj2bYeZPQHCXJIm1L2Mx5W0p5Y2hymML7NCYhiU1rlp+WD4lTDV2Ai4ryUsIioggIDFQ0ionPW6VSYQiPx2zUcuW8BwEIoYWvPl/IzTffTJ++/SguOsxNt8xj5HD/UpTW1laefubfpPceQN9h4wFIiY/lnNEjue+eO1n29Zd8sXQxY8dPQK1WkxB7Yppcl8vF7t27eet/iyk7sIvMvgO5Zu4N6COT0Wg0PhG/EtkzasmR+RaDpwoqptC7qi7LkXxUg9vu1BAa6EIubhBEVBAlOWETREp8b8SUvZyQypcT2wAjl47oS0uHk/SMXtx9tDK6rtAqOcPIJRaj0k0s31fNxOxon8qoIMCC7Hk3w8ldJYSXsThn6jzn7109Lm9uxdoazONT+0jHB/DRjko2llqkwamwdwMUFVd5sh9AbEs5piA9+UMGebTXRi1btm7D3tFOZN/hRKa6lxXvi22sK7QqKuA1tg4mXzgNa1Up1dXN2AmABHfIj7wXQe6tLBoTvUmxaJzMMZoUvyfe91x3Qli3CT3wiaC9vZ2Kigo6OjqIjY0lMTHxtP+tCwoKYtasWdTW1qLX6xk2bBidnZ189dVXx/WXbWtrQ6PRdKted9myZbz33nvMmzfvlFw7o9FIdXV1t2+3B8fGnXfeyeLFi1m4cCFjxozB6XSybt067rjjDu69916e8Jr9/LHoIcanGbZt26aInYxPzaK5yUqtBha+8RpFh/bS78GnsGD0Wyn251Lhbtxxk05RPRLkOTkCAnU6afR1PLTaXfz53vtITEnjP//5D88+++wxyfEPG1cx4oJZJESES8fmraPsihCD+2F812e7MFsO8OdLJ1JYbyckKgm1WkVTU1OX652tUKvV3P/QXykqKefd+f9l5tSLFNUvuXZUjiaC+N0t87jmuhswGAz834P309za4bN9h8NBVVUVTz//MnFR4Vxw8eWAR6KgVqu5/8G/8tKLz1NSXERyYjzm0GBsNtsx5RQdHR18u2otixcvprWtlcxBoxk2eTaGoBDKgegOF3TYAaX7g5y06DXuSq6ooPqD/FoIOYXw5hWwttoJ1WvQ0KmQGQkcyw6tvLlVcX1NMklHV8Q8Ni4erVaLXq9hVLpJInHehFi+j/mbiyS3BTnkVWGJmNuUAwP5OfmEdMjkKd5OMNZWuzS43lhqURBhOZ5bf5j8RDPgvt7ey+QPG8qu7Vv5YfsuIhPTpddTM3orrpP8Gsq3sbHUwvTeMTJJBST3zaKotoXNq1YQFK78vZk3Mk1xP8gHTGJ98X6xjAybWz2vHc9t5KcgMjKSgwcPHpcY22w2KircPuVxcXEEBQWdkuM5lZCfo8vlIj8/32+fg8vlor29naVLl9K7d2/sdjuRkZEkJCR0C5HdunUrc+bM+VHOEyeCiIgINm3adEq23YOu8d577/Hxxx8r9OxTpkwhNDSUSy65pIcYn61IT08nb8hwtm7+DoA9WzeyZ+tGxTLP/+UPGGY+IP19/4RMRce4vFrkjSJZN7hoPnE6XWg1ASd0fGVVdXR0tDPn5jv54uP3+ecT/2L8jKsoVwVxTloU/RLN0rTh/5Z/T31lKUFqp9/KtYD3AxrclZ9ks85N/jtaqVz9P25f/T8AAnUGzplwHrv37GXw4MEndNxnE3pn9yEoLJoAlVqRdCYgppu97bGsNjsuVwCfvr+ARmsDw4d4HhrNbQ7eeuO/rFm9CoMxmPD4FEZMvZqMWDPFdTYlQdQY+NPd97J4yVK279pLcJCBjz/+GID7779fMXXZ3NzMZ4uXsuzrr4iKjWfaxbNJzhqAWq32SXmTEyF/JEWQYv+SATe8nRjky8qvSaNMK5ESYVQMJKTKrIz0Ck1/eXMr26osPqTVW7MqVXVtdtAY+G7DatoNUeQmppAbgyLIQw7590A4sYhtySu9oglQTojFoEgsL7Yl9iM0xfLjFPCWgOQnmsk/KosVTjHi+yikFt4yJ3l89pBBA2lobmPHgUPEJiSzv7qJ7zdtIDUujgFHUxS7qtTKdcziPthebOHLj9/jit9ce1wJjT+Sa7XZJecR9zWyK2YFTqU7xbGs21wuF01NTVRVVaHRaEhISDhrLChVKhU1NTVs27aNsWPHAlBbW4vBYGDBggXMnTuXSZMmSQOAr776iujoaHbs2PGTmqptNhu7d+/m2muv7Y7T8Iv09HQOHz78q0lePV3gcDgI9WMSEBQURFtb183NJ4seYnya4aG//YPy4kLShk8krt9g2hotpBtdODs72VfbhNYQhEUVQrVLaYQvSLH8weeJelU+gMVDUDxcSsrKMYWdmIDdYAxCo9Hy3cYNNNlaKS8pYuH8l2hvtrI6IACDOQJbfQ2hoaG0Ha1CL13wGl9bzQrNofyhGh2kUzxUwRPzOirdxLpC0M+4j6mRNupLCvjm66UU7ttFc3MzV1915a8m/U7AarPj7OxEHaCRPku5RrSozgZ1SIEK4LGuKti3h5UrvuShBx/E0d4Cwe7O+Reef46mxkb+/fyLWB2BFNQ0o9EqQxJEM5y4dwaOGM85555PqEHDmlUrAXjmmWcYP34806dPZ+3atXz88cckZvRh3OU3ExGfjDlIR2NbJ2ajWtIQe8MfqfEm+uJ8vAmmt8uCN+GTv+5q7yT5qBOHIFuSU4EsXEauKRa6/E3FDVJjm9DwxwcbpEY56diPbmfcuRNYsnoz9o4OBme47/UUjJLDgpBxjEuLIjnCyPzNRdL3V0iJ5MfuPmb/Ug8h9/CG3Natq8RJca3kXsnyfgX5LJW/HgAAS0M9rTYbB/ZsZ+sPm4k/72p2rVzC1Fm/kZaRXyf5ub18aY7y+h2VPFQ1t6LRygYvsqr+I8sLpNARf4TZOyEPPBZ/p6Lhzh+8rducTif19fXU1tYSHBxMSkrKWdlInJmZSWhoKBs3biQ/P5/S0lJiY2O5/vrrARRV8UmTJtHe3k5oaCjfffcdcXFxJCcnn/Q+V69eTXZ2tqLZuLsRGRlJQEAAq1atIjw8nIaGhl/dc+iXwEUXXcTvfvc73nrrLbKy3L0YBw8e5NZbb2XGjBndtp8eYvwLY/E3G1m3egVtthYmXziN9vZWZs65heajIjyjOZLUo5rcIRnuh1sUMPboA1ok2pmNWkW1qau0KwF5ta2wYM8JhzQkhBs4b9olLH7vFVCpic4cQHz/oTQFxxNngFZrHUZzJMb6Yr5eOJ+E1EzKjhzEsfgxDDPuB/D7MAWPV6ncc1R4pf7+6INv+oSR7odKdTlVVVXUWZqJCu9+m7nTGTGhWhqtapxOB3qVHfAMcrwrl1YZgQRITEqGAC0PPfQQarWaxKRkgoODsVqt3PvA/2EwGCgqUTqcyCt0/uzE4oMNXDhtOks+/4zrbriJp598jM8//5zk5GT+9Of7adZG+th/SVPkEUaSI/y7Jkh+s0d1s2IdORmWrLu6gBRzLGzDZBXWKHMwhoBO9AadQrvb1TF4o7jOpqh6RgfpFDIPYS8mEBSoJkjrUqwniKggx0LeNGdIikSOhfPE8b7T4CG/x5Inyd8Tso5iS5VUqRWfsXx/1la75FKRFRXMoysOAvjIKCrKSog0BWO325k2YybnnHchi/aUM+iCWV16Q8sHQjd9uIPHp/bxGRyp1QGMmzwTo7OForpA6XdBfnwgHzR4BjhikB0fbJAGkP6q9acSwrqtra2NhoYGLBYL4eHh9OrVi4CAE5utO1MRHh6OWq2WvOePRVh1Oh1ZWVnYbDbUajUffvghl1566Untb926dVx44YU/9bCPiUOHDjFp0iS++OILAgICMJvNHDlyhPHjx5/S/f7a8eyzz3L55ZeTnZ2N2WxGo9FQV1fHJZdcwvPPP99t++khxr8gVm/dz/yXnmLo2EnEJKTw3puvYmtppr3NJqXW+TPoFw8uua+p/MdfPv0KSjIjbx4C2LT6a0qLj/DHeTef0DF3dnYSHRJIoDGYIZffSmZiEuXNrUQe3Xd5iJukDMgYTb02lHp1CAm9y0mICCU01iQdo/eDW67PFJUq8FSl5LrJiy69iqWLPqTNpSUyLOSEjvtsQJsDSipqWb/6G/pnZ5CU3ptH7r4FArQEDruEc0YMVjQueZM5dze+g1m3P0y0UUdwoIr6kn0UHTnCpAum+OiD5TZo4PsZyUlYndb9sHvphWdJTU3F4eiksrKSZV9+wU23/F4ijCJ4QS7pAd9pdb3GHcDg02AmiKTRU2UVlmb+tMcWm6cKLP4WJD1Qp6e9vR29wShtW67XtdjsiuqzHEK/PyciRboOwiNXfo3kSO+VzeKF7zPlossUr4vjlgI+unC96KqZNiXC6PM7IYdwehiXFqVwogClNaJ8UBofbFAMiERfgoB3o15bTQlbvqsiWKchN2sEOn0CoCS9cus5cd5iGe8GPvlnKc5NrQ7gmY8+pzoiVzF9PSrdRHNTEy3NTehMUT6fg0B0kE5x/5zK5DtvtLe343Q62b17N2lpaaed5dqphEajITIykunTp5/wOkaj+3s3adIkdu3ahdFoJD09/ThrucOHKioqTokThRwffPAB27dv5/LLL8dkMrF06VJiYmKOv2IPfhKCg4NZvHgxBQUF7NixA51OR9++fcnIyOjW/fQQ418QwcGhDBg0nO0bVxGo0xOflIqx1yCaTAmsPFxDbozZb+KXnDiCsuFIvF5UZ/Or3ZVPz3baLKxf/jlPPPbPE7LV2byzgLf++xIulYrLbrgdldm36U6QgeqWdkxxyVgt7QQlZDI9L1HxUBakXq57lFeo/E1/i9fCgnWk9+7P+nXrWPP9ds4ZnnvcYz/TIOLAwRM8oNfAxx+8TXVlBd9t3kxDdYV7gU47HRsWsFqj47apoxVaXXDfC3JS2zvaU2HP6j+YocPypb8F2YwO0ilIqfi3uPeqW9oVxC+u30BcDVPZtfZr7E4VgwflkZGRwfsLFnR5jvLqHijJUJsDhYbWm6QDCgmCgHcVV5y/uCZyPbNOq6LV5rZcknyQje7qssXm3u6m4gafhla5A8L8zb6JcQKiSU/uIjFp+iWYjYE+JF4uJxDyjXFpUV0GVcg9jS02u0zu4L/BVf632K44H/m5yY/d2+lD/p0sqrNJHscAWlMUeUP7olar0ck0st7OHt7nvWhPuUKeMSrdJL3/yPICSSoWH2wgICCAXkPHsmfBu8y47EoaKkoIjYplkM5KXGgIB+tbqDpSR7srmACNFk2gxwVH7H9HidXvvXQqIPTDwr0gPj6esrIyzGbzr4YU/1SYTCapor5o0aJjTpcfPHiQp59+mrlz557SRFSn00l8fDwFBQX873//o3///syaNYusrCy++eabU7bfHniQlZUlSSlOBXqI8S+IQb3iqB49Doe9g707t1JitzNq0lWoAzQS6ZA/AAWO1cgmqkPgm/YlIOyZvv7yC/JHjiE+3rf73Rv1jTYef/gBdyOJMZi3n30UcDH8N3cQEhWvqCDKiYNAcoSR+BrfeGpBssqbW8mKCpZsrorrbD7VLQFLSwfmID3nTJjM118sPqOJsegBa21tZc2qbymuqEHVaaexzYGlU0VyZDjnnzueXkmRuFwudu3Yyu/vfYSw8EiJNDmdnXzzzJ/pWPMWz5ti+P2YXopqn5zQdEUK5Lpab2Itb0IbmhyGyahl+T73w14MZkwGLcNSrmDv6HOxVB5hxWcf8OWXX+JyuahpaCbwqFWfkE6AzKe31e6jDZV794rkO/lUvCBc3hKNR1cclNwoYsOMipkG7/NudwVgbbYRjbJ6CR7SLW/miw7S+Y0rF/CObZZXR8W5Njc18sXiz/nNlZd36a7h7ZvsHevelWZa7vYgNPviOyQ/7vlbS6UoaPc2LV2el7yxUy5hEdfk/gmZ/G3pDhoLNtM4tjfQCXgGJ6LhDXxTBb1JMbglJI8sL5Cqx54qslWqKhviMsmiHuKM5A5IYveunZjDwthzqJGKklKMoQ6CXR2MGzncp+pvNp469wkBp9NJXV0ddXV1BAUFkZycLOmHzWYzDQ0NpySU4GyFKNqMGDGCwsJCnE4nmZmZimX27NnDY489xvXXX8/IkSNP2bE0Njby3HPP0djYyLx58+jfv7/ULNnQ0HCctU9/VFRU8Morr/DVV1+xfv166fWtW7dy0003sX37duLj4/nrX//KnDlzpPffffddHnroIUpLSxkwYAAvvfTSKUmlra+v56mnnmL79u1+faS7a2DSQ4x/ITidTp589kX27NhK/rlTyBszCVVYLFVHCYKwhfKu7MgJqHflWK4XBLeN0aI9ngrXHFnVtqOjnZ1bN3HPXXee0PFaWzroMyCPsIgo8oaPYlBWItdffz2BxhC/lWn58YC7kid/sHs7EoD7Ie7Pomp67xhpCtxisxMfEkBIkIFhw4byzRefnJGdwavXbeT5fz/Fldf8lvzRY3nqicdptztITs0gJCgEXB04m5ooKtjN+yUHmXPDLRQWldDe1kaoySxdP3E/6C+4nbYvn8H21fMw5t+Kap8gaN6ECzwWaALemlwBhYXZUUIlj+oWZNYYHEJ8ziCGDRnM8+sPU3xgP/d/fYhLB8YRHaRTkEXxb3nVV15dleuKvSFvxhOVwBc2FEmkGDyNXIKICzIvUGa1095kY0eJVTpvMb3e5kCSZ4jzlOta5+QlSk1y4ElXE9pgf/sDiA4xMWDICCy2DszGQMX5e5olPRV6+fdb7iYjZgHkVXNxnHKplbypdeXhGh8CXN3SLpHTJd+VKt7L6RWpSOkT1XO55OKjHZW0VhVh7j9GcXwCYrkb8z3baXPA/M1FrCu0UtlgIzbMyKh0EzP6xjN/c5FEhuW9CHLruEnj8gmKMWM2ajEYDESn9+ftLcWoVCris9xJZOHVewlRtYFRL3lOC3s2cd/oj9F453K52LZtG0ajkd69TywRtKOjg6qqKlpaWoiIiCArK8unISsqKoqDBw/2EOMfgejoaHQ6HR0dSpvJjRs38vLLL3PTTTedUlK8b98+/v3vfzNkyBDuvvtutNpTP+vwc+Kmm27ijTfewGw2S1IWcN/X06dPZ+rUqcyfP59vvvmGuXPnMnDgQAYOHMjOnTu57rrreO655xg7dixPPfUUM2bM4NChQ93usHLllVdSWFjIxRdffEpnBXqI8S+E3YfK+GHjGsZddhOJvfpJD8C4UE9HOPjaT8mnOzeWWgA3cfQ33frcemU2qiDZTmcnn7z9Mr0yM3xG3l0hLc7MXx+8V/rb5XIRHGrGbmuWjs9bUyksnuQPZ++qU1dNQvO3lio0h/Jo3yhdADqdnqCgMOwddpqamvxauPxSsNlsVFVVUVZWxrZt20hPT2f8+PH88Y9/pKm5mcf+/Qp2p4p+/QcwZtQItu/cTl1tNdf/8a9otEr7tTAtvP6vh3j84fuprXETrZLyaswRUQrSdOmwTF4quhDj3iU8ec9vaRx5My6tgXlj04/p+ysnxf6s0kRTnLzyJidt3pINgcWfLuTOi2fyR6t7BxtLLZL3rRxysu5tMweeiqM8Elwco8moVXw/BCledJNHGiLgTVK90+DENsX1kA8YhiaHKSqfc/ISpWOX39sxoe71Z/SNVywPHlkFwJ5Ne+mT4tYjFtf5WqmBuxIviK+8mi19lnWe6ycGGN7uC/LZo66irJ9bVUh1rf9GtB0HarnpQC05vSKZnRMrnYP3TJRao0WlUvmGs/gZiLU5YMbLG31eX1do9ZFUzBniIdMiHTDZrGPOkJRjpg/OGZJCY2MYTqcTIy60gW7pipiJOtaAS+D111/nN7/5DU6nk7feeos5c+b4HXx7yyWio6NJTEzku+++Q6vVYjabFcsHBASg0+loaWnBaDSecQP6Xwoul4t33nmHCRMmsHPnTkVoyFdffcXQoUNPGSm2Wq28//77fP/998ydO5fRo0efkv380oiOjmbjxo3s2LGDv/zlL9Lrq1atoqGhgaeffhq9Xk92djYffvgh77//PgMHDmTBggWcc8453HTTTQA8/fTTvPPOO6xcuZILLrigW49x7dq1rF+/npycnOMv/BPQQ4x/IWSnxjI0fzSrPnqV9OwcbM2NlB1xd3qPvugaovNHSw8zYcclrwLKK7SikjW9d4xkgTV/q7v6U1zTjKu5jjF5bj1Oq7WezR/8h6T4eO556P4f/cPc2tpKh70DVCrJHQPwkVMUW9qZv7VU6ngXcaxyOzl5Ffy59Yd9Ot0FYRK6z/K6RuLCQ9i2ZQuBev1pM3IvLCrjz3fdIf0dn5hEeWkJGzZsoLConA6nmrj4RBbM/y82mw2nSsPa9RspLT5C/7zhkh2VyaCViFFVcxudTie1NdUkDRpDyQ9rONBsZ2iEcpAxNDmMrFtm8/DCOBoLNuFSuXV5H+2oVFi5ga9sALy69OuU5+Xt8esNbzILMO2i2ag6fae6vDWe8vvBG3Li6k2EvPf3wgZfra9YRk5SRdXas74KkyFAsbxC+3t0ECAGod7Rw4IMikqzXgMYtZJsQB4oIfYRFW4i0hSEWq0+GmLiS9xFo52oZltsdqhzfxbyz0pU1sX2s6KCyYoK9pEhWWx2cmPMFFuq2HSonk2H6j3XJNLI0IxwxSD20RUH2XGgFnAT5Nk5sdKAXR7j7nK5aK+v4Pkbp/lc/0V7ylm4xa2DX7ilgtgwo6KiDzBvbDrRQTpFiuetI1J8mh6FHZu4xl15IIvKtD48lK1btxJsisAW5A6dkEeKdzVQPHToECUlJZKdGLirVLt37yY9PV2qpHV0dPDdd26veavVyuDBg1myZAnXX389q1evJiMjA71ez9tvv01+fj5lZWVERUURExPDhg0bSE5OxmAwnLIAirMNW7ZsYfbs2ej1eh/p38GDBykvL+9izZ+G6upq7r33XoYNG8YzzzxzWhVguhsPP/wwADt27FC8vmfPHnr16qWo/ubk5LBv3z7p/QEDBkjvBQUFkZmZyb59+7qdGGdkZPjMGJwKnBQxrq2t5cknn1RuQKPhkUceoaysjE8++YSKigpCQ0OZOHGiFL5gs9l45513aGxs5PLLLycxMZH6+noef/xxZsyYwYgRIxTb/Oc//8nEiRNPiUbldIFWq+XO23/Pyg0jePWFp7Ef/bDHTprGwLwhCjLi7cE5NDlMelhuq/LoA10uF19+uZTC/Xsw6PU0aYLpOFCAs7YIG5NoTU4lJymLdc1W5l7/4E/yzTxy5AhqTSBB4W4C4K/yKye4cl9U8beAIB3ehFhMrwqI7vtGm429O7ex5uvPmH3NTad0SuVE0NbWxgMPPkhzcwujxk4gMi6J/IG9Wfz1SurraolNSKbVqSJtwBCM2gAizCZcGj06DXy44B2cnZ2kDj9XMVOQEmGUmsX6DB+PrbYcTXwqJT+sQatXBlKIbntrq50HLxkNjCY5wsiMlzdS2WBjzttbALfmFjzEQ+iKjxeJmxxhJOtow7VoihOQ/1suw6i1tHDnqx9DyjDAPWgTlUa5TMLbUUFURAWJEfeV0DKL9cT7OUkmv5IF8BBiMXCTa1xF1VWl0dLQaEOt1Skilbu6JpJ+3uv9NoeHBMsr7/J0OqMWDh4pJkAfglqtlq6/yeAm0vLq/LYqS5ezKSJSHTwaazFo9I6JF3IFfxD3Q1K4nvxEszQYA7d2eGW6iRe/OgTAgwt3kdMrklHpvt/14FS3fEF+P9304Q6f/cr/HpoRLlXexX0grxCLayZvipQn2iVHGKWqfnKEEZSTY7Q5ID2rL1t/2EJ8VqRCf93VZ7tw4UKmTZtGamqq4nWt1l0RDwgI4JNPPiE3N1cK5Bg+fDgqlQqVSsUNN9yAw+EgKSmJxET3uV111VWo1Wp69epFWVkZer2emTNnUlJSQltbmxSG1INjQ6/XY7VaOXLkCE6nk+DgYA4dOkRubi4tLS1cccUV3b7PxsZG/vOf/zBp0qSTtow7m9DY2IjJpLTEDAsLY9euXcd8v7GxsVv2v3r1aunfl156KVdddRXPPPOM32TIc845p1v2eVLEuLm5Gb1ez513KnWpDoeD+fPnk52dzaWXXsqhQ4dYuHAhcXFxxMfHs379euLj48nPz2fp0qXceOON0rrLli0jJyfnjIy//Kmw2Wz85+nHAAg1hxETl0hJYQFZeaOgCxuy8uZW/vXKx6is1Vx9w63M6BvPk0u/o62mlB9KWtn+wyamTL+Ejo4OykqL0MeFUUULYcE6Vi9bQkPtmxgMRurr6yHt5M3TBQ7Vd9LWZKG5toKQ6AQfCzZFch3uB3RSeLv0MPT30JcHlsgfknJEB+k4XFjKmuVL+MffH8VsNvPXvz1MWWkpkVFR5OYNIjEpmSF5OT+bYf6CDz+iuKiIqTNnM2nqTFau/56//PVv5AwezpW33kd4lNK9Q0hIOoDsiZewc/HbFKxaTGdsNsWhEUzvHaMgTFlRM7DY7CzaW47u3Jt8rLTAU4kVKK6zScQH3KREEJMHl+7l4Sl9JHIt1/jKCXdWjC/5g2NHMovXI81BNAWYMLpcvHLZQIq97NkAH9cD+RR3TpLbTksMoCw2u2KAKAZYokFODvlU/SWD4xSk2FtTrdYEUtfcgivQY2XofY5C1iM0ryaDVpral+thJaLnrc82amlvb8dma6WyvIyk3gMVn9fxIqW9IWaIxHdFOEN0Bfl9ICCin4XLhpiRAvd1MBu15MaYyekVKVWOKxtsrCtUxlerVCose9Zz1+cmHpiY5XbIiEHRAPn41D4Akr1bUrieRy7IoqrR7uMnLCfA/uQO4holR7g/xx0lVsUgWx4ZrtVqcQSGUN3QRKBOj8NuJwg7Hy74lItnTufLtWtJSUlBr9djNps5//zz/f5mdHZ2Eh0dzZEjR+jTpw8qlYqGhgYmT57ss6xGo1HYislJb0JCgvTvqKgodu3a1SOlOEH0798fi8VCaGgoBoMBrVZLSEgIISEhhIeHU1hY2K37czgc3H777eTl5XHxxRd367a7E0F6DUknoeMNdtiha4tzv+js7PR5TaVS4XQ6T+j9n4px48b5vObPp1qlUvk9lh+DkybG4maU48CBA7S2tjJ16lS0Wq0U6yg6GNva2oiKipL+LYfL5eLrr7/moosu+ulnc4ZBr9dz1bU34nQ6KS06KKWHne/wPCzk/qHCImu/tZaS/bv4/MO3iYyJo2zZUsKSMnAlxXDPvQ+QluzfZWL2ZVfSaLViDAoi1PjjSaPT6eTzhe8ycOyFjBnQTzo2b4xLi2JcWpQiDEBoO+WeqkI3KFKu4DjkKzSETqeTfy9YQlBLNUHBwfz5/oeorKzghy2b+GHLZl59+T9cOGUKM2fORKM5dYqhFStXs3Tx59z15/sZOmggHR0dLP7gDaZcfj0ZfQa6K/pemnH5oCBv0HAuHDGEt995EwKUqWOCpCVHGLHYrJRa7KhDoyhvbpVsueTpcYJYiurx/RPc+nF5SpyoHj+4dC+xYUZpGQFRiTsehLTB2+YM3J/d3Yv3olKpweVyv2/wJYvu1z1kzNt54pWNHnmEv/tL3sR564gUcpJM3PShexpQELOFWyqY/xvf2HChzf3hQDM54QFsP6q2KKhpVvh8rzxc4zOT4U/uU1LfJt3nb13p0b+1OdxkfMVXy8kdMpzRI0dI8hFxDmKQI3eg6aqhFTyE2NvRQQ5vX2BBZuXe51lRwdJsjbXVrmj0FffoqHQTo9JNLNxSQXWtjepaGzsO1HLzpAxcLhej0k2sdU2hw1LFoyvUimY9QHF/CYIMsHjXUU3u0d82uXOICCySJzj6C+SQD5wE5BKbXWVNtBqj+WbxJ0yZejGW+lqcdc3MufpKwE22wsLCsNvtfPfddz4a1ZaWFmpqamhvbyc8PJzMzEzJOsy7qnyyMJvNREZG8tprr3HDDTf8pG39WmA2m3002+C2dOvuYI2mpiYcDgfz5s3r1u2eiVCr1T4k1+VySc/V473/U9FdBPtkcNLE2J/fbVVVFREREQqtZ1xcHDU1buIzfPhwXn75ZT7//HOfKYnzzjuPzz//nOHDh5+QbdjZBLVazYwpE9myZQvvz/8vffrlkJCUjMOuDBdoaG6nuHA/dU0t1BbuwVJZzJVXz2Hf3j3YLNU8/JeHTsjg2hioxhgVdtzljoWOjg6efulNHB2t9B99nuI9UTUW8gdBLl6+NEciLOAhc8LeKjfG7NNUJId42BXV2XC5XBBoZMhlt7B3+cckZKRy7bXXEhgYSHxCAhl9BrqrTsVFvPnaqxQVl3LH7bedkunK5uZmXv6PO20nLjqCmpoa5v3lSQiOYvDgIQqdp7z5SkyFi9csNjt9ho6FyCiFa4Cw4KouVjYpCkIkl12I6qs8UQ6UiXJFdTYW3ZQvTXNXNtiY978dXDI4zl0dPNrEJcicN7yrrYK4+Euec9rb6bBU8/YdlwD+tcni9RSMXZJAOab2j5aODzz3hSBVxXU2yYnCarNLg4A5b2+RGvJERVGcz6C0CErLq8iK8ngGlze3Mi4tSnHM3kQTlAT4gS8LFO/Lm/gOFBbTZ0AuERGRUhqeIgXQqFXYvAnyKm/sk1eTu7pWogq8sdTilxSDkohL1Vezxyu9uqUdl9PJ3nVf02f0JFQqFbkxZnKnmLlp/hZwOVGVbefFT+qJa9tP3gWzSI4wsKugmECzW29zzXvu77qoVBfV2Xw0w+J+dstAfCvl8teEJCY6SEdKhG+Ms2jyFbC2egbYKpWKkRdczMG9Oxg5sBdZ6X2l5YTcAZCauTo7O6mrq6O+vt7teBEdrejQ7y6oVCpMJlO3xtj+GnHw4EHq6+uJi4vr1u1qtVocDgd2u/206WH5pRASEuJjRdfQ0CANUo73/pmIkyLGTU1NNDQ08Mwzz9DS0kJaWhrTp093p0d5lfMNBgOVle4pvqioKP785z/jcDh8lsvOzmb//v189tln/O53v/uJp3NmIiMjgzHjzztK3lS8++pzBJvMaFTg6HTQ1tqGNjCQ0NAQcnIGMnH0XIYPH87M6VN/luNrb29n165d7NlXwIpvvsUUGcMFV91KQIDv7TMuLcpPPKvnIffc+sPMG5kmkT5FUpvNUzUTHf7yTvvoIB2uTgeNDhfGsCgGz76JGX3jCQz0mqK32TFFxnPTH+7mpWce46WXX+Xm393Y7dOWgYGBpKan0yszi0XL17NuxRLUKXloevvXOckrt96vFVdWkhyZIDVAeZOF+GADs3MM0rS5mxxbmZ3jG7IiIGKO5ZrcHSVWn4GK5AiwwdcNAJQkTzSXyZshxXti2bs+20VnRxvB6Z70KZF45+2jLPdPBvwGZsitvuT7wqistErnfPT4Ft2UL8kqZry8kUU35UuJegI6nQ6no/1oVd4uEbaVh2vItZml5bxJ8eycWKnqOTE7mkcuyJLIsSCGAn8bG01Lu1Nh/SbXunqfs7ftmiDIxyLEAtFBOulYR6WbFBKnGX3jJdLob1vVLe2UWptorq9lxqQp7PthHUPyR2MyammoLGbBtf34+/xP2JGQCyoVFcYRaNd9S1BSH5z2dlQqlXuQtMG9vZcvzZEGZnLi7w3ve8Kf/7N4XX6fyXFjfor0mnxfoq9h4rSJ0nregz6Xy0VzczM1NTXY7fYurda6G4GBgXz//fdMmTLllO7nbIXNZuPFF1/kiiuuIDw8vFu3HRwcTExMDAcPHqRPnz7HX+EsRt++fTlw4ACNjY1S8+GOHTsYO3as9P6qVauk5VtaWjh06BD9+vX7RY63O3BSxDgqKoqUlBRGjBjhnk7//HMWLFhASop/Pajr6DQquLVXXZXWp06dyjPPPMO2bdvIzc09mUM6K2A2m5l3828B9w/3uImTaG2sx6gLoJMAWh3QKy0ZjUbzs8SYOhwO1ny/jZqqSrbv3EXh/l0EhcfQKyubaVfegC4m1WcdeQVIPr3vbUMlIHfckDfDyJPPvJ0HqlvaqbU2EKg69kXwEC0Nl93wB577+/0cPnzeCUWKngyKyyo5UljIkcLDZPTNYdCsG9nZEqLwXwXl9LWAvMrrcrlwdHiukT9tpagyPj61D9ZWuzRt/9GOSpLC9VLXfpeNca1Ke7K3rsyhzYGCIIMgyTsU1dCTgV4DDlsTbTUlvHfPVcdd3rtaerKQuz1IkhKZDMebHMvx1a35qFQqXC4Xeo2HkIkGNn9SBdGoJofVZgejlgcmZvlcT4Bbn3mP8NwJQA2XDnRXtiw2OysP+w4ChIRCPmCUzzy0WOqpdRrYu+V7QjJyaSnZz7MdrVyfpcEUnUhjmwN7Uz0B+iD2rP2a+As8FclFe8oZlxYlkeKy/TtJyMimZesK9ncOY/f+faT3zcPobCEhJoKEydMpPnwIlaOV8tISwmKTGXXeZEbh7gEY8eg3FAdkQIUdXPGE4f78hTexGNR21UQoCL/3bILcHcS7OVNOiP0NokQjZu5Rn2N5qqL3vjo6OqitraWxsZGgoCDi4+O73Xe1K7hcLnbt2kV2djZtbW0/237PJjz66KPExMQwceLEU7J9tVrd0xiJW+MbGRnJvHnzuPfee/n2229Zv349L774IgBXXHEFTzzxBM888wyTJ0/mX//6F1FRUWe0rd1J0azc3FwFcZ01axbPPfccqampChIsIPRYx4O4iEuXLqVv377HX0GG8vJyAgMDzxpPSL0GspKjgejjLnsqcOhIKU8+/g+0Oj1xCckkZ2QTM2Iy+hAzcFTpcPRB54/wgScpTe55Ko+PletRi+tsimYbb2InryZGB+lQt6mpbfPctuJ9udZV0dSl0pGY3puCgoJuJ8ZLl37BeVOm4+w9mrzYMDfhOEqm5GTGO/jA2/UgVK8hPCEV8DQdyq+DsPOS63Afn9pHSg4rqW9j0Z5yH39XfzZq3lPaL1+aI0kk5KTumvd2SOQZlBVhb0mFeF2QU1WABqe9jUeWF/DARLdNoPg85Cl387eW+tifeTdxgltrPGdISpeDQnkV2/t8rTY7z83KkQYScmeESS+4ifL4qHbuycpCr1ExLM3klgzgtjETcgAh0ZAfQ1WjnU3FDVLwhdmolZYTmL+5iNXtI+lsa6GxYBPvteQSoDMypnfX329R5cyKCqawqJT62ioq6i0U2XXY6ippi8xGGxpOUriefaWgUgVgtQfgqKniv9+X0NnajC4inrSBw2mvLiY5UM13R6qIzejDl18swRIYSqe9gz4xEaTFR+KMnUlAQAAx8Ul8+9l7zLxsjvSZFXToaC22EBKRJVlAgttX+MLhiVIoSF2zmm83HKbN6/zln6U8itq7YVLeX2CWfZfFoEkuKxHX1TthU69R7k8uJxLfCafTSUV1A02WOgICAoiMjCQuLu5nf3Y4nU5iY2OJiYmhqqqqy+JSD7pGWFgYAQEBdHR0dPvAoqGhgerqapKSkrp1u2cidDodixYt4ne/+x0DBw4kISGBt956S6qk5+Tk8Oabb/Lggw9yzz33MHDgQD799NOfRYJSW1tLZGRkt2/3J9Ufo6PdP+4ajYbWVuXDrLW19aRu1nPPPZcffvjhpCP9wsPDqauro6SkBJPJRERExM/mRnA24tNPP8XucHDtnx5UPCy8p17jgw1SFVNe0dlWZVFMAWdFBZMcYfSx1PLWh/qLKhbTqMJ7dkeJlVSTFpdGj0uj1BSCh0y6H4g2adt2lQaHw4vJ/US4XC727NpO/szriAzxkM1R6SaKLe2S7lE+eCg66sygIK6tdj7+8D2Cs0e5z8UrxEJgYna04hqajFo3EbZ4tK2igjYuLUqyCQO3LMUdr+yupMrJndx/11tiIZrf5gxJURBh8e+uIscD9EEEJfamYM9ebqxr5YGJvQDP7IB3VVVOjkUzmDceWV5AslmnkFV4E2W9xp1mJsh7VaOQ8milAYDANe957MSqGh2M++c3NHb4kiNR/fS3PxEwIoe8Wq3XuK/djL7xFNXZ+Cwhkv27duEK7qTYYpLuD0EEJdeNxhpcxgT+76nnSBk5mU67Hl1kb0KB0LhU9zXLjiE+2ECyeRjrCq3EJ7st+PRHbcskXXGAi7jIYFyHK4kL0hPcty/Ltu4mbeBwGoGwIOVv5fjpV3Kg1uM/rQnUERIerdC+yz+vmydluL3Kl+z1uXY+ASoGrcL9QiwjJDlyCzrReCrtUzags9rsClIsZBT+Bk47Sqy4XC46WltwtVmpdXViMoeRnp5+Sptyj4edO3cCsGLFCjIyMujs7DzhQlIP3P0doaGhLF++nIyMDKZPn96t2z906BApKSmnRF9+uuPaa6/l2muvVbw2ePBgNm3a1OU6V199NVdfffUpPjI32trauP3225k/f74k47322mt54oknuu3zOqlfhpdeeomRI0dKqSN1de5OqZCQEOrq6hRTQhUVFSdVodPpdEyZMoWFCxee1A+EXq8nLi4Ol8uF1WqluLgYl8tFWFiYNKLswYlj5Ih8qqsqqLF5TLSjg9wPcLlNlLwyI8iBd6VPVE3nRKQoCIQgeN4NSOCrOQWlV219kxVXcIy0bpeRwQZPk5GqrcnHZ/GnoqKigtbWVsLj3BUFuc41P9EsETxR5S1vbiU3xh3lLHnbttoJ1Wu49po5vPNDCeCe7pZPo8tjtOV/y+Et3RBkQ1SHJdLgNfCQEwlBdr3JMfhOQ8srxtFBOulvk1FLTKiWJ6b1ZVNxA298thxnRxsPf7mbMb2jfaQJ4ri9Y4oBHrkgS/r3KxuLpMFGV/BHiuQDC+/35VKR2+evwRTYQWOHu0oMbpkFeAi00Ch7b0vuJOGNgipPdbq6pd0dctM7hr8+/woJ/ZMlwizizvdv+47KiGgOFRehqoeM8ReRbNb5JaXiHpFfU++kS4C6ThWjI0wMyXN7wgdFJhCV7NFLy2cxvM/B235RVG3FcvKIbAH5vSP/TsQHGzzJfbLvbFcWdYIIixkEefS2HPHBBule9J7FKKyop8NaR2eHjZAwEyERMUSFhfwscrTjITc3F6fTSVpaGosXLyYqKkoqNPXg+Pjwww+prq5m9uzZP9m71p+UJSsri4qKCj744AP69+8vBbb04OfH9OnTefPNNyUd+W233cbKlSt577336NOnDwcPHuS+++7jzjvvlOQdPxUn9RPRq1cvvv76a0wmEzqdjs8++4z09HQGDhzIV199xWeffca4ceMoLCykuLj4pC3Y8vLy2LhxI0VFvtqx40GlUkl2Lg6Hg4aGBg4dOkRAQAARERGEhob26IVOAOqAABqtDRgcNlo1Rgz2FtasWkOHIRRXSCIqtXKgIQ8FEBZjyRFGhf5v/mb3VLhoypHDu1LsLZ/wgctFtMyNQb6egLzqqupooaiwgJyc207sApwgfti2g4zefYkNcR+LXDohbLD8ETmzUcvyfdWUN7dSunE54849j4JNK1H3GystI08ElDsYiP9bZbIEQZzmDEmRrrnQqHrbnx3LAg/8k0twV7rlDVFtDs/gxmzU+hASk5T8NpG3vlqPWhPIukL3sQsyPG9kmg+R864IC9yYn8IDXxZ0edwnez7e+L9p/amxtmJxBUkVfflAwbuBT16dlLuAyO+7Yi97MfHZ5SSZiMidgDpAo3BhKTtcwIDsPhxxaEkLi5Xunfhgg+RiIr8vjge53VtRnU0xwAoOi5S24/1d8xfTPi4tSpI5CT9qudWicKERVWNRYZf7TotIb7lXtbXVzrA0k9RkK45Xfn7uOG7/vufgnmEYmhwm3ddqV6f7t6vGSrtGi8ZoZnC/TGn263QgxQJVVVVs27aNK664goKCAqKios4KOeDPge3bt3PzzTeTnZ39o7fhdDqxWCz87ne/48knnyQ52ePrHxoaykMPPcQXX3zBm2++SU1NDX379mXz5s0EBATw9ttv/6IzDr8mbN++nZ07d0rNfl9++SXvvPOONCDq3bs3sbGxXHjhhb8MMR43bhwdHR288847OBwO0tPTmTFjBhqNhjlz5vDpp5/y73//G5PJxOzZs3/UCHj69Ok8//zzJ72eHBqNhqioKKKioujo6KCuro7Kykr0ej0REREEBwf3/AB1gWGDc9mxayQfvvQY5ogoyoqP0KffAEpLiolLyWTWVdfR3OHRkwvPUcCT1nUYyYpNQFSSSurbeGCikqz5g7ySJEjYkCQzFcV1BMkS1vxByAXaHPDFp18xbHh+t1eMv9+yld79Biq8dAGpKjwnL9Enllf+4D+waTU5A4fSotJx7tRZimVn9I3HZNRK1l5yCE9X8bo/8i0nFuLaZUUFuyvoNjv6UN/r5o8wCHK1rcrCsDSPlRt4iIr4vEUlT65BnpgdTXTQeB597X10kfH/z96Zx0dV3e//PZOZTGYyyUz2ELKQAAlr2JFFdkQUBDfUomJrW21rbb9tv3ZT21qXLr8uLvXbajfFpVVbLRYVFWWTTUAg7AESshCyZybLLJnt98fNuXPunQloi9pqntfLF2bmzr3nnruc53zO83k+fHVGsaY6nigTrtdgx4M+cnou6LXQZyNEFouFQK8Lp8OptEN3X8kJfLc+X8Fj10S117J1mJBxyCjNsamRY+Gq0Hl8Nxu7SphXEn0OCnOySbQkQTCkni/ErhAsH5WnaprPZnH38rEmCp0WdYIExJSKFlZp8j3WHykWkAvLiDbKJbc15y6Vjo5X0ASUqLq+Ep2YzIl3w8IR2ZqJtturPF9C87zrVBvT8ky0t7czN8vItiYTx0JJjM9KUyd055oUfhzIyspi2rRpGI1GkpOT6erq+kSXHD5faG5uxuVyMWzYsHNv3A8ikQhf/OIXmTVrFgC7d+/WEGOAoqIi1SmroaGB++67D1ByqwZI8UeHyy+/nDvvvJP169eTlJRETk5OjDTS5XKdV7/jD3R1ExISuOSSS+JW/MnPz+erX/3q+95Xeno6P/3pT2M+Hzx4MD/5yU8+SLPOisTERAYNGsSgQYPwer20tbVx+vRpbDYb6enpJCcnD5BkCQaDgRtvuIHComJCoRAjRo2hJC8dl8vF9++8mx994wvccPud5OYPifmtHKWSB0t5uXdmidZySZZQnC1ZzGkzY7cYVYs4/SCnTwjzBZWX345t7/Dtb3/7X+qL/tDe3k515RGWX3cToNVfy8vHglToXRcaur3MmDkPS1cjmXbt8pw+yUjep1OKppdm2TXJUDJxEMRCtroThSvkaCi8/wiaXGwjHsTx8+xWlo7JVvf76PYakgtGcOHQtJjKd+UFDk1k1e0NxHjUno+29Wc/J+61cDiBbo+XNEd0CV8vM7n30pHc/eoRVZcsS37ilRgulGQs8uTxrnWVJBeNwWSNamhPHT+Kx9NN5rCxxCtL5bSZ1XvM7Y0W/BEThdumF6myBtlvWU5206O/xFnZFUPogeVk0XM5iFQcb6V8uBKRlgn1viaX+izL5ZkhNrq+endNv1FxcV3C4RBl9iABTze+jk4ig4pU3fDbrcr9IEixmtxrM/erRf440N3dzf79+zl58iQ33HADdXV1A8T4HIhEIrzwwgvMmDHj3yKngUCArq4uIpEIt99+O2VlZTHH2bp1K1VVVTidTjweD36/n4cffpjc3P4tMgdw/nHPPfcwd+5chg8fzv/8z/9w0UUX8bWvfY3Vq1djsVjYsWMHP/jBD85rMZb/kFfERwOr1Up+fj6RSASPx0NbWxv19fUkJyeTnp7+iXG2+HeRZIKL583UfOZ0OjGbldvlzZefZ/iI0Vww71LSkhPVqJPQIquRY6CqoZXQ6RMkDFYyWOXIooCeDAt9sCC/RSgDqt/nI9VuI1eXiAPE6GcBDlTsB4OB4uLif7Ur4uLZ519k2JiJhEzJmghcnt1KZUt3TIKRgEx6HVYze3fX0N16mtMdbeTlldHQ7dVUAAOdDluqkCaTsbsWlsaVrhRm2PpNfHw/0bOpxY64S+sybplWxNqDzZoIsiCqgty4Dm+DccXqOcjHFmWnxXJ6U2csOa5s8qgk8PEdNarc4lyEWGD17hqVCMqSELkdHZaEuKRY/C0i5qBEjW+bXqQSu3j9KVcGlCcEhU4L+99+l2mTyzle4aI3YqBkyFDO+KMSJdmZQ73WkurEaTNrylTLkqJCp+JjXNfuY2N1i6pj1q88yAVmRPsKM2wa32DxWW2bJ+7qhbwqVOi0kJGZQltrF42Sm4cMUcxHrLLIkgr9ece758Zlp9Le3o6rsYlIOExGUiI7u1MZbLGSlRU7oYRY0i3j/awmfJhwOp3MnTuXOXPmsH37dlJTU+nt7R1IHj8LnnnmGaqqqvjhD3/4b+0nMTERu93Oa6+9BsAvfvEL9bvGxkZ++9vf0tnZyQUXXEBjYyMGg4G77757gBR/DHA6nezYsYNHHnmEZ599lgMHDhAMBpk8eTIGg4GysjJ+/OMf8/nPf/68HfNTRYwFDAYDycnJJCcnE4lE6OnpUZ0tBkhy//jGt77N0aOHOd3u5b1tb5NkCLH86uviVuWKhMNsevMNgofeAqB07H2q1248uL3Rwgx6iM862txYLJaY79yegDoAplgSaG9rpam+mqee+CNfuOXL5/U6VlRUsHPHNi679XsaoiB0oBDrPqG2VVqGdnsDTJg8lbYuL5lZ2fgiyrbNPX7F41h2p4hjYyeIsFjOljXGoLVXk8vu9kf+BOTiFEIOISc+yccYn+PEF1R0oDVtlpgl+YZuL7dNL+I3kUt585091LrGsGpCtNpYvGstR40FWRbnKcixXm8suySIiZc4v/7Is/78E4xgSYjgDxnOKcNo7PDw6PYafr50ZEyCny9IXHLp9gSUanyTi9h06ALe2bKeL9z/XZqbGnGHTOTYLWrJdxn6iK+4pxQvZReg9NmyshxN1BiUiLKwQBP3gNh/Q7eX7GSLur+aNg+VLVoP4Jo2D8218WUWc4uz2FXboVrLNXR7yc600dbaRXOrRy3DLUq/R2UwLnWSoq+Il51s0UhE8uxWznT1YAn5sIa8pPh9tLjtpGTmkZ5i45/bqoFo3ohexiKug34iGW/bjxMGg4GhQ4eSkJBAc3OzpiLfABT4fD42bdrEm2++yRe/+MXzEln/7W9/y9///ndqampUy6/t27fz+OOPs2TJEi6//PIBycR/CJKSkrjjjju44447CAaDtLe34/f7yc7OjuEE5wOf+qtuMBiw2+3Y7XaVJLe2tuL1egfkFjoMKRjEkAKlQMGVi2byjW9+iyFlYxg3dgzNPX5ONTZxfMubuM/U0tlYRzgUBEsyv//d7zQ3r35QkgszQHzCVNvmobu9i4y0s5e03n/wIH96+GdkZWXxne98599KzohpQ20tv/zVg8xcfiO2FCWCKC9Jy9Z1gsy6+6r7NXR71YgZ9JXmtZn55z9fZlT5RIYW5WuIdXmBQ03Mku3o1ImAlJwlsGpyERV1bvY1uVh7sFmVVAirO4hGN+UlZXE9ZEcB2cNYliKsmlyk8ZwV16wow6YSEEFmG7q9TC12YNhuJByMupyAdklen3Cn2qxJ94Eg5fryv6JvxdL/uaJ//X1vNpsJBAJg1EbrRPGO1btruGqScu//fc8ZGjs8fHvtEe5cMEyd8Og15eNznBprPlDu41kjsllXO4hvrz3CbdOLSOxrk3z/iGhsQ7dXtS4T19rtDWhIamVLt2ZlQdbf7mtyae7R0iw7lS3dqvZYRG/lSY1eNy8gR3QLM2wqaS/KUEp6XzVpEL9t9dDW2sXiX29h+53zcXsDfcd3qc4ita4mVV8ukvHkFZZxWSmEfN0EvS2YIgHaMFEwuJCSIUpJbXphZN/kSbZrU69XH/Y1uVTrQhn/ipTow0ZycjJr165l3LhxhMPhgUTxPoTDYZqbm/nZz36makgffvhhysrK+l0leL+wWCysXLlS/bujo4PHHnuM7373u+d13BjA+YXJZPrQHVz+Q14L/xnQk2SPx0NHRwf19fUkJSWRlpZGamrqAElGMVdfcvX1PPv7hzgwfjLeBBtHd22ifOJURo0fw2uvVFM6aSbf/fpt6qy7P+Lr0kVHZcgDXbfHi82REfN9OBym/sQhjEYjWfZETCYTjzzyyHkdXI4ePcovfvkrLrrsSkrHT9S4RQhoShN745+r/LuX/vEyS5YsVdupZOB30Nzjx+0JaBKH5H9rpOXhHfUu1RpOFNMQqKhzq/tQl6+lxEQB/d/6qnfxyvA6dRFsgXjVyJ5cWc5VPz3CsUOHuF9XWhlga5VCyO9coCTTyM4F+mirO845iGX+XbUdLB1z9hdmZZMnJgKfZFIiEn6/n5SURM256jW18kSkscPD7X9T2i5Is4x9TS61/5NMUfu2+cMGsflwGR0HNuNccDOAWrZbVI4UGn2ZXDd0e9lVG+v1LEt39AmKyt8ujYxHEG35uRPHFUmf+s/lvhAuFPGw/c75lH5jDW2tXbj7VigKM5TJ2X3ro5F+YcHY3ONnSmEa4VCQQE8HIV83nkCIsNlGhjOXo63dYARjglmdcOm16nrIEg+RcKpaxfVj4fdxk2W73c6cOXPYv38/2dnZZGRknPtHnwJs3ryZ//u//wPgRz/6EZmZmXz1q19l69atXH755ef1WE1NTTidzgFSPIABYtwfZLkFKAVLOjo6OHPmDImJiTidThwOx6fGJ9nv93PkyBHMZrPqHb1iyQIml49ky5attLec4RvfuRt3RwdP/uFRlq/6Co4ho9h4ol1TJjqe84AgbS5PQLN0LAZwh1WJRDbWhlS7OJH8dKbVxV9/+zOMkRAmsxlPTzcrb1h1XknxoZOnuf/+Bxgx/0pKJ846qxuADCEPgSihEudUX3uKwrIxpNmlQiWeaGKV/Nscye2gPxcPUBwospMt6vI2KKRRJhLCHUBN4suJlVYIHW88ra1ImNRrqOO1SyaRyQUjIHL2rOH73zoRUzkOonKZ/s59arGDd6sVcixHymWcbdLiC4LBZKHL48dsTYlL7iEql7l9TgkN3V7+vueM+t3WKrcaPXZIlnzrjyrt8QWjUprCDBtzxxayMRziid01fH3WMNW6Tawk9HdsPSmelu+MkSS4PFppRa3LHxPNhijBlXXtbilREKITE/0EQSbPNTodr9AaL/71Fp770jS1T26fUcyaww1K1LjNQ6bFQLurnb0HGxiSacdgSMSSlkenN6jYGbbGTxxU29Ynr3l8R416LjH3pYhIS/fOuTT2H1eCXnp6OpMnT6a1tXWAGPdh9uzZNDY2snbtWkpKSkhKSuKZZ575UIJTQ4cOpaenh6NHjzJkyBD27dvHxo0bqampITc3ly9/+csDXtOfEgwQ4/cJq9WK1WolLy8Pv9+Py+Xi5MmTGAwGHA4HTqfzE5008chvHqWmpoZES5IySWhrISs7h9lz5rJ8ySIcDgeHDx/mod8/ymc+/1XmzZisSdiRByx9EQ+HNbqcqy8cIgZpMRAbDAZ1YHPYzNgTjYweM5ajB/fz0IO//lDO/e11a2ixlzJ35AQNKRZL+KKtgFpOWGDdN2apS+TCHqsow8ax9ibKpkzTDNIOm5lymyJ7UMiKEt10Ext5XjUhXyUcQmKwo96lLlEDGgIsIDtbVLZ0x3Ut2FrlZmtVRUzkGCRyrJMIyBDOFDIKGncwae4lXDmpUNX9yhIKoW3Wl1yWJ1PysWS5hS+okOO1BxWNrBwpF5DLA8sQf1swsa3yFF3mHvQQFmniXs5OtjClMI1Vk4u49XmlAIjqVtE3oVk6Jlttz/qjzaq/d06qWY0c+1rrqUkw8fBWIzdNLFCt+ITWN89ujWp9dc+G8A8WpFR4Qmv01n2WgXJxFPn7XbUdLByRrSa3CsgyoHgFdwRERUoxkRif48TtCfDYqkncunoPba1dLLzvTUAhy6/9z4X8+eX9lGUm8NeWWi4ZX0gkIZFgkoO03AzS+vovzR7VM+ulM9BXqrrJw9ziLI0zi4A8CSjMsKn3VGWTJ2ZyLpNgeTXi44DL5aK6upqcnBw8Hs+nsuqaHkajkeXLl/Piiy+qK48fVqlhs9nMjTfeyP333084HKaoqIi5c+dy/fXXs337du6++26+//3vD5Tv/hhRW1tLQUFBzMTI7/dz5swZhgwZcl6OM0CM/wVYLBZycnLIyckhFArhdrupq6sjEAhgt9tJS0v7RCTvdfuCVFdVcfjQAY5WHmfi9f9DYXoapVl2Wtw9uM+c4tCuLXzl7y9gtdroDQS4+OqbGFo2CncfARQQllUyuRGDurykKycHNff4VSJqiIRx9vZytG/Q+8y4PE6eOE4oFMJmS8b4ISRJ7Nu3j/ozTWze8g7VjON/H9rE0BH5fPnioQD89vWTALS1dvW7jyl3voq5s5bU4pGUZgT43AVDyUkexKnqk8ybM4ue3kjMgCzbmMnJeoV9S92CyIiCCzJBkIt7yAmAYj8uSaKh15auKM/lhYpG9W85EU+GiOrqSbHDZlZ1qIIUAvg8PYydPk/x6SWqVZUdJgTuWlepSkLkSKQc9YuX3OgLRvWz8UpVy84UYnIg2u/yBNjf2I4zrBW/i8i7PoFNJt2iUmBjh4f73zqhykGaOgNqe0CZhBRm2NTI/9ziLFgwi7f3VNJ4cAcb05JiJAqyVEe2aJOr0MU7V/HMLB+Vx/gcJ3l2ZRu5QIhIjhSkPd7kQ7VS1BHjGknSIBxP8uxWzURMkGOzMUJqyENpuo+HnnuL4RkJHG0NsaG6h5MJPm6bnqNIh0QUv68dy0flqWR/bnGW6mIh3hXiXxE1XnO4gVWTizQ2kaI/mzoDMVFtDUGOI7P4OJCdnU1tbS3Z2dk0Nzeft0H+vx2VlZUfWRXb2bNnM3bsWEwmEykpKernBQUFpKenc8899/C1r32N8ePHf+htGUAsiouLaWxsjNGXHz16lNmzZ+N2u/v55QfDADH+N5GQkEB6ejrp6elEIhG6u7tVhwshuUhNTf2vzG59/q/PsnPHdvILi5h5xecIJCrExuUJYDYnkllYyvIRo7n1KyYOVZ2msdeEOTEqBSjMsFGETeODCtHIjPhODHKyzlEsRQskRIKEDEofhkNBPn/T9QA4HA5Ky0byldvOn4chKD6WDzzwAAAGYKzhIBvJ5OTRev73aGyUCsCZqRCmjMwUyodnUnG8FXxdYEymvamdPSfrCfu9fCvZwjUrb6KnNxJX8wtaP11fEDV6J8ou95dVLxLl1h9tprKlW604phKfPoIpkx0R0W7o9qqOBnVxtMACtz5fwYryXLKTLWrlMtleTpAuMcmJRMKcOXWCmdMVC8ClY7LVqPG71W6NFVpdu0+TBDizxKHR2coEX/5b9JkgorVtSuEIfUVAORFNaGDBQ8RgxEhEE4WFaEEVER0V+5Ync40dHnLTbKqUQsBhVSoACvIoZC1CnjC3OItalx9/t5MjJ06pRE5fBjyew4n8zDT3+OMWQBHJnnqnB/GvuE5C3iOTQ2E3B8QUn5Gvgb6se6rVRLbNQFNLG79blkOqLZH/29FERYOfznYlUFA+JpOG7QrpFfedqKAp5Cby+a7eW6+6mciTkto2j+ac3Z6AhvyLz2r60SbHi4THixZ/VLZuoVAIs9lMcnIy9fX1hEKhT41U72woKSnB4/HQ2dl53gs1xUNaPwneCxcuJDMzk0ceeYSLLrqIa665ZiBJ8iPCvHnzMBgMRCIRrrjiipjV+aqqKkpKSs7b8f772Np/MAwGAykpKepM0+/343a7qa6uJhwOk5KSgtPpxGq1/sdHk0OhEJs3b+Lrd9xJcnquZsldyAKae/x9ESs7GVk5JPRFIEV0WJY8yGRMtoiC2LLQECVYApcOzyAUcrC3tc/tYOXX6Dq8g6SEMFddefl5ja68/ubb7H1vN6UjRhMKBTl5/BjmiJ9h9naabNEEN1drdHbqzHQwckQOuWk2bptexKPbaygfnonr8DFGXzSby0fnc/WvNrKzBn67383PC/LUfqmQiJicrCVDJiwQJc7xvGf1ekoB4RihT7rSo9Bp4b7Fpbxb7VZ1qvctLo2JIDf3+GOIbXmBg/ICh3q9K1u6sSankOJMZ8eunUwtXhRzPF8w6oIhk2KIFocRkXDRXnHv6UlkPAjLMPE7eSUDosQv2aztdLm4DESJYzzHhrNh4YhsVVYkIrzi+t0+o5hfvLGPSDjEL97Yx/D8bM15gtbmD6IJdctH5WnKsQvIhXaae/wq8QVtCXfZYUIPlyfWZUNNftS1J8tmJuTvob72FJ3dHlLtNswWO4XFWRiNRv7f9cPVbd2eAN9eq5SOrjjeCiiTH+GsIa+Q3LWwVJOwJ34fj9CKSYW41g3dXmraon2or9z4fknuR2Hr5vP56O7uZsuWLcyfPx+AzMxMWltbycnJOcevP/lISUmhpKSE48ePM3ny5I+1LePHj+dnP/sZDz74IBUVFaxcuZIRI0b8Vwa+/pswd+5cADZt2sT06dOx26PvNIPBwFVXXcWKFSvO2/EGruaHCIvFQnZ2NtnZ2YTDYbq6umhtbcXj8ZCYmIjD4SA1NfVD00z9qwiFQvzxyWdwONOxpSkvZlknC9GschnxyIkceYJopEu/tAmxg55YLnZYzfg7W7ElJ7NwRKpCBHOceIYO4cSu9Tzwk5/S092FOTERk8lMWkYWd3//Ozidzg987oFAgD/+/neMnz6XtJyh1Bzeq3537YXFjJgyXUPOIOoKIE8ebpteRFGGjW8DB955i8tH36R+t2F7Nas6PNw+R5nhyiRIT3L1kPs4XqRZJHuJfQrZgYhSxtufw2qmKMPGmsNetYywHu9Wu3lyZblKjl+oaGRFea7aB0Kr2V+CXmZegbqf8gKHGskVJadBITfCG1gmUDL00oH+ykkL6QIQQx7lCKKwE9vX5AKDkVMtXaRJ1Qhlb23ZL1tvTdfYEb3P4y3Ly5Z58r7dngArJpWy5mgj9bs3MDz/Es15CvlRfzpfp82sbit7aQvo/YshSvjjFW+RqyXKGJ/jVJ/lSCRCwO/F5O+iu0uRESVYkmlNsJOWnUXYYCBf7ZuQug+xOnTb9CKVFFccb1X/X2DJBfkav2uIenDL97B+gqLvJ7FCUF7giE1ePctEKt5zJTuznI/IsYgGv/rqq0yYMIGmpiauuOIK9fu0tDQqKyvJzs7+jw+ifBSw2+14PP0Xa/kokZmZyT333MO6dev4wx/+QE9PD1/5ylcGpC8fIkRBlyeeeILvfve7H3py6gAx/ohgNBpxOBzqUpDf76ezs5Pa2loCgQA2mw2Hw0FKSsrHujzT0NTGbx55CH9vgJVfvF1JLpRIhz4ZThQJUBPIrNolbuE2IetaZW2r0HA6veaY48jEw+/3YbSm0i4Raps9hRtWfZalV62kqd1Nr99Pe5eXp39zP6cbWz4wMfZ4PBw/fpyCoWXs276R3IJiJky+gNdOKVGrd197nilTphEKmQj0+qndt4Orli1Vf6+Pvoo+SR02kd9sO8XfvjmXq3+1EYAjR5uYcuMkddlYb5MlyIs8gTgbwRWQK6bJxEGtxGaNU3ikr52CrIp9TC12sK9J8Z8VBFYuOSzkEnoniHjVxnp9Xg7u3AyzLwYUoiiInDieXt8qjlXr8rNqQr5K2GRZg4DoE1m6EE8yEs+j19mnjY54PISDvbg8CZokRf2Kh5hM6CeG8bTP8azuZDhsZppr/bRU7iN1cGwBHIUQRv8WbhNCVwtotNPxNMfyues/k4mx26OVNcn9FQ4FaGlx4TP68fh7CZCIKSmZnPxiDEYjLk9AmVy0K/sb73Fqjiffx809fu69agygTLD0xPiVnfW8srOe7EzlGZgyNJ2XjzXFXHMZaw43sHxUnuL4QZYm2i2SMd2650FsE28iKJdVh9giO+fCuQj0008/zfXXX8/48eMZNGgQgwZp7f6MRiPJycl0dXUNlIlGSYzr7e0994YfERISEliyZAlLlixh3759PPTQQ3z729/+uJv1iUd1dTX79u2jpaWFESNGcPr0aZ577jlGjBjBpZdeet6OM0CMPyZYLBaysrLIyspSPZPdbjdNTcrStd1uJzU19SMrLuINRNizexd/+P1jjJk8kyWXX02XP6IOHnOLszQDnRiABYE7W3EOiOor+/P/jbecG9WAQluglxSTGYJBTQlbUJZSrLZkcjOcZHR3Eez1M6y48H2ddyQSYW/FId5+6032vbeHrOwc7Ok52J0ZNNZV81qdooUMhUJYbCns37KOSIKZSbMXM3zUeN7d/g5VJ09w7fU3qV60cvufXFnO9X/cRkfFRpjxWSp/vZzSb6wBUBOFspMt0KaNKtbEkVcIyM4Gov+EAwEoA3J/BFge6PXabxkiMU5f8lkQs7p2H1ur3BSk+5mW71St4uQ2yRiSk4V1/hIOvbuZ7qEjmFo8Vj13WY8cD3XtPrW8tehXATlCLb6LJw8REL66gugKwuPyBGj1mcm2GQkl9l99UUQ9ZXItyh/HI8XxbPbkyLLQL2eVjsfb0cKxUw0wJE+tPif7OYNC5vR6YlHIAogpRy5ri2XJkrjP8uzWKHEUFn5Zdjq6fYT8PRgjYZL9XnoCEDJaKS4uxhOI3p9uXwgIxRDy/iwNx+c4NdUUC9KTKLggX62KueqpPTS3KvsW/77S9++uk+1x9wlQKPlIy9dAvG/O5q4RD3qbw3ORYn21RIg6p+hLnP/pT3/i5psV/+q8vP49obOzs6mvrx8gxkBqaiqdnZ0fdzPiYvz48SxfvpzXXnuNgoKCj7s5n2g8/fTT3HzzzfzpT3+iqKiIGTNmYLPZOHPmDHfffTff+ta3zstxBojxfwD0nslCdtHR0cHp06cxGo2qdvnDcLsIh8P88Y9/4lDFXsbOvpRZcxbS5Y9othFEQI64tdRV8fyuU4R6OmhsbIRImAnjx7No8aWIW0skL8n6SqfNTGOXh6fv+zoLL7+eSxYtBLQRPlWn3EdeurxBSpITcSYnxhS8AOhpb2Tztk1s3bqFGTNnnbNMZCQSYffu3fzpmefwe3qYMH0On//OT6iuPEJB8XC2vf0aEy64kOq6WgZlZnD6xGFMtlQumLNI0qim05zUy0UL5lHf2EpKqkMlM7LrgcFgxDlmVgxZFGRT/KvX0QrIS/NJpuiA2x+Er6t+MBf9JRM7l0chSOUFDpJM2upmj++oUZO35DbKeuO6dh/LymIJsegDuWhJjj2JnPmL2H/4MJVNHtV/OB70UXFZe/zzpSM10bh4S98QjeAKkiai3nICnssToNzmoLnHjyHBTKDXT5oj7aylycXv9JBdKQB1ud7t0UaaNfvrq25490VlfP/5FiCiVocTcgJBoGXyKSQvsk5Yvr7yd6DcY26vPe55Nff4CYVC+Hs68bvd9HSFMEQMRIxJ9JodlBQU0ulVOtgTiJ+09n4hS2dkCNtBuVDK+Bwnd796JIYox8NvXz+pusRkZ9rITbMxs8ShJvbJ+Q1yX+bZrSwcka0WYJFlJOIai2cDlPvsbMVxQCrIE8e3PRKJ8NnPfrbf85BhsVgIh8MEAoH/OLndR43Ozk4KC99fsOPjwKJFi/jOd74zQIw/ZNx777385je/4YYbbmD16tXk5OSwc+dO1q1bx1e+8pUBYvxJhl52EQqF6Orqoq2tjfr6+vNKlI9UN/CXJ/+Ax+PhR/feT01n/H2JgUREYLwNJ9n8/ONMmDyNwvzBzJg6CaPRyJvr3+IHd36X2775PYzWVFyeAKFQkF2v/4303Hy6IgnkjysmuU1ZPl3/j2d45/UXWXTxJSy/4irArLFxc9oUTaM/GNYQRHlwbq45zuOP/oo5c+dz5w/uYdiQ+C8nEZnfvXc/z7/wN3p8foZcMJ/Fs+dh7Mv+Lh87hiSrlYuv+AxVxw6SkZpKwN3EvEuW8bdjHbx8rEljl2XJKOBEQwfH3ttGenYexqQUCsaWqu286dkKfM01mOxOIH5FpXjR0niWbcKzV0B2rgDYWB39TthXie/F7/R6b3Fd1x9tZkphGlMK01hzOEqoBImRE7pEspwgx49ur9E4MsRLpIQoae7saKWypZvSHFu/S/9ub4BVE/K5/60TMd99e+0R1a1CE9Xri/46vWdPkBMTED0iCWa6PF3IOel6vbDQHIuoMyhR2nh6aBnxbNA05+sJcOvUfCqrTrEzrD0fucS2wNziLBxWs3qtRIRTXAMhhRC5AA3dXs3qQCQcIuT3kNDTiSHkZ8+BZnIy0kjPyCTDkYIzOVE9riDFAjJhFG132sw0dHvVEsxyv/VXMAWUFQinTkYkIMpMy5BlI0Jqde3vdmi2aW710NzqUSUac7+Upbbb5Qnw6HalPTNLHEwpVK62L6gUuxHEuLnHH+PFLdxh9H7a+mp6brQrCw5blFifOXOG/fv3c8kll/TbJzKysrJoaWk5a2T5k45AIEBHRwehUOjcG39MsNlszJw58+Nuxicep0+f5uKLFTneK6+8wnXXXYfBYGDUqFFKcO48wRCJRCLn3uw/Dx0dHaxfv56FCxf2a6/ySYUgyp2dnXi9XjXinJKSgt1uP6dGuampiS1btlDX0My+997lwrkLueSyK/AEDYQ8Lt47eAxXWwuhUJAmXxCDwciqq65UiVQkEuH1P/6cK6+4gvlzLtTsOxKJ8JfnXuCNda8RDofIySukeOQ4Nr7yAln5xYSMCQS63fS42giHFQawYOEimpoaaWtrY3BBEW3uLnp9Xqw2O470TIaWjSY7M52y4Uo07kxrB51nqli/6R1OHt5PoNfPF7/0FS6aP1fTFo/Hw5tvvsl7+w/Q0NSMx91BKBjEYEpk3qIlRIZNwWA0Mj7HqfFglSURDquJTadaNUvXIlon6zYdVjOGoJe2Tg/vbnmLy6+4itvXHCPo6STgbuGp/7lSJVKLf72FttYu1t91kYbAxdO/yhUD45WzFYS3P/KxanJR3CV9MXDHI6aynZqIPOr1wMJ/WHaq+PnSkUpfSO2M50byp+dfYv78RRgMBs0+BZGPJ8sRSWGyzzIo3svxShzLkft4mmKH1ayRsjT3+CESISvYyrixozXuHbJ0J55uVO/Woa/ep5FR9JOgmmJJoO5MM72GRNadUkiiKOIi+k/WzYpJgay7FqszAnLfGiMh5uXb6XC7CQb8GI0JBAwWCnIyONMTwWAwaHS4sjRF/7d8PWW3lI3VLeqzpD/feH0g+ljc4+JcRDEU0N7X8nOqnzSIPAaxTznSfDZsv3O++v/iORHacWFHCLGfy8+9vJojP2fytZha7GD9+vWMGjXqA5HcSCTC0aNHGTFixKc2Ce/AgQPce++9LF68WJWg/Ceira2Nt99++yPjJOvXr+d4t5HTSfnn3rgP9mAXQ71VLFmy5L+ygMyMGTNYsGABl1xyCYsWLWLfvn0MGzaMX/ziFzz99NPs27fvvBxnIGL8X4iEhAScTqeaXBYOh+nu7qarq4vGxkYikQg2m42UlBSSk5M1y3ANTW18/zvfpXBoKYXFw/j6HXdjzxzE7gNH2bXhFeqqj1MydBim5HQSTAlkG0O8994eXjcFmTJ/GQBnqo4S9HuYc+H0mLYZDAZWXncNUydPJBQK0dbWxqbNW8jKyuZ7d/wv+YOy2Lh5K//3m4dYfsVVGM1JvPT8Mzz44IPU1J+hoamFsbZk0h12uru6OHOmgYPb1xMxwA5nFj1dnZw4cpBhw4dTWlrGzTdeT3t7G+PHjtK0Y9+Bwzz68K/JKyxhaPk07BELRbk5FGZnEQmH6e5y409MVrcXett4BFNPimWo5XStZlJTU4mYrNx04/Vcef/TmFMyMBiNLBk3hNo2D6U5No0MYuF9b/K3b87V7E9PbkBrpyUG36bOgFaj3AexNCzOY/XuGpVwQjSRTO8dDYrmWRTekBEvuvr4jpqYz7+99ohKjuXj6Qnu4JIydZAXbZfLJ+snALLc4rbpRexrcqk2bsIdQ4bcH4UZNo1cBFArC+oLaJQXOKg67lJJnF4PLxOfsyXV3fp8BQXpSUzLd6qfiSIaMtEU+6s/cZjM/GIOVbzH6KlzUWKOChEWCWVyQqPodzn6L68wOKwmTjS24+ruxBn2kxAJUZCWQjgcwubIJMGcSFFmstoXMuGSK97pr534XhBStzdK/mJcNPoIdDz3mXKbQyMvkftIVGMU96d877o92gkWyLaFWsnK6hsn4bCZufX5ipjkvuxMm0qap9//NtvvnK9ezyQTatXCeHaE7wfyJEDcQ6dPn2bKlCn9+vAKxwU9WTEYDDidTlwu16cuACRgNBrJyspi1apVH3dTzooBT+MPHw8//DCXXXYZDzzwAN/4xjcYNmwY9957L/fffz9r1qw5b8cZIMafABiNRlJTU9UkDSEZaHd309TSBuEgJpMJu93OmTPNeL0ejh85QMuZespGj2PXujVs37Se5cuv4Nt33IFDsqsChUw//PCD1D/5GxYsX8nudS9w7TWfOav5/LBhUa3ljBkzNN/NnT2TgsIiHvzlz3G5Orjju3eSl5fXbySlsbGRIzVNVB49wshhJfzv12/TVCUaUqBdbvV6vTz061+y7NpVjB4/BZcnQHrfwF2cZWfP4RO42tsYNlJJABOR2o3V/S/5AkzLd8bogiHqrFFuc+CwmXl8Rw0JiVZ8bae59oIyIpYkTUGK5740TS2Ve/erR7j30pEaghDP2gt0ESmvdvDVY/moPNW1YPXuGpUwg1bbCtFkPr11l77ctV5mAaiezQJCUvDYNeUkRAKEQiF2761g+tRJBCIJ9HR3Ub1nCzZ/B9lFZbhDRpWY6Y/v9gSo1blKFGXYKMqwkWe3qtFj8a+QV+ih9yGWP5d9oGvbPBiMRsLhMA6rORpJJjYBMp7nsqiCB6JAikslx3JkV73Wff+GQiGyHHYuveRSato8MWWb5XaIfYB0D4RDdLrdhLpcRLq7aWoNYQwnEMZIYV4h44dkxvarzs9alkUIMltui3X+6E+jDGgKsTikiKo+ii2Kr8SLJuv19bLdY0z0v63/xF2x78euKddMRsT5Pbq9RiXMtz5fwWPXlMddDWju8WuqOAqISLfcH6pcyWbWnNPUYgdHj55RvotDjF966SVefPFFbDYbP/jBDxg8eLDm+6ysLKqrqz+1xHjTpk3MmTNnwCt4AEyePJmGhgY6OjpIT08H4IorrmDVqlXntVT3wJ32CYSQViRYkoEckkyKTqu7u5usdAd33HEHKSkp7Dt0jFdeeAKXy8299/+UgkFZcfeXl5PBXXf/kPvuu5c//r87WXrZcubPnfVvtXHokHwefvghIpHIOWfafr+faeWlzLtg3Pva93vvvUd6dh6jx09RB1WZWAwrLmJ73QmykiK0+AxxfVshulwttM4iyqhPHhJRIRGxq3X5MSSYKCoq4MIxRTSGHGr0SV027nOnaG719GshBsQMvHLUTBSO0EPohfUJWPEQLwFO74cr2ic8f0HRfwoSo3o2SzrbW5+vINDVThHNXD9zFA1NbdhTUvBHzEyetYDstFT27d9LftFQMrJz1XbK7hb6QhwyOc1OtsSQcpG0JktdirDFJEDp+1tMRFyeAMaAAXugF284QaOr15MmfXKgKFDy2DXlVNS5eXR7jUqOl5XFFmkQ1/WF5/7KksuWEcCoEl35ujV0e1W9MCjFNJKNAQJ+L+4mD6l+PxgS6HCHCJltkJpKZ1/bpkmlnuV265Pn+qvoJ1fqU6PRMRICbZVAGSrBlq7b+qPNfRXuomRVLgIkE2s9KZYh358OayBmP3q4vQENsb5tehF3d3j6lVuISaTekm/pmGyaOgPq/vqTN+knn2VlZWzcuFElvV1dXfz+979nxYoVrFu3jrvvvpsTJ07wwAMP8Mtf/pKkpGhwwmQyYTQa8fl8ms8/Ldi7dy933333x92MAfyHwGAwqKQYYMyYMef9GAPE+BMMeTA3m82kpaWRlpZGYWEhkUiEwYMHY3Nm4bRb8XS2c7zbhdVqxW63x0gw7EkmfnrfPYTD4fO2ZGQwGN6Xbq63t/ecLhMyampqGFSo2D+JAVVfSWzqlClUN3eyu7qOMyePUDR2MrbUaEQmz27VlOSVCYMgjrKuU474Ht69E5PdyZhRIzhy5AiLFi1i16n4VkNtrV2afYv/l63J4lUOdEhtAzSltCEqixCYUpgWN+IXz+FCLt6ycEQ2tW3xybt8fFA0xo9sq1Z9jhNsqRw5eRJzkp3GxjPQ6mLd629QWlpKWcEkli2+iDfXryctI4vyrFRavfGt1mJK+fZNVECJEgMx5ZBBWx1PnmgI6zOxL3EMlydASrKVQK8fTEr/iz6Uk6zuW1+pKZmt1xSXFzgoOBYtrf3ysSbuWliqHs/tVSK27qZ6rrjqakwmU0zUtDTLzsaqZkyRIMdOn2aIzUimIQhuAwa7nUHpqQQNGfT0RSldngCEwWDQllbX9xtEpQgiSU7ot/ubRM0lS50cCsQjoHIEWMh8IFp0Rpxbc48/xqEjnq5cHwl22Mw4rNHnQFxfvTZakFbx+3gJu+UFjvelQRZtFuTeF1RWWITOOd4zFc+pwmAw4HA46Orqwmw28/nPfx6A48eP43Q6GTZsGImJiTz11FM0NjbGFIvIzs6mubn5P9qZ4cNCSkoKPT09H3czBvAfgrfeeotdu3ZpfK19Ph9ut5tHH330vBxjgBh/SmEwGLDb7Vw2P6oTDofDeDweenp6aG9vJxAIYDQasdls6n/6GuUfBT4oGW9oaCB/uCKTEMlL+mSs5h4j7W0dJCQm8pkrV3Dsva24TGYsNrsqO5A9fwXE0nCpFI2TC284bGZsecMJ9Xq4YWIBWzdV4g9FyX9Nm0eJGkukQliIyRFKGfqBt6bNoy4j99sHEskRUV45WUlA9I1+Wz1kUlyUYWNfk0ujKxW4a2Ep/h5Ft3r9A0+SXj6Hor5B/p3Nm7hy2WXkDMpTj+3ILgCDgTfW/JWLLr6EumNHKCgbr37fH/SRUBGVFcUv5MmLaL9cply2N4tqaT2YghYCvX4MJptG/7zmcINGviEws8Sh6sfliahczriu3cd96ys1kWOnzcyZhnoGFxSQnmIiEg4T8HsJ9HRhIUCHq5dxSXCqK0CvMZFKn4mclDSy7UmYbGbcITRkVX8Pxu0z3QRLTWKT+lLIZ+T7RyTViWIj8UisIIni+dJXh9T7XFe2dLNwRLbmNwBObzQirWm3N1YGo6/cJ7aJTi6JucYiUi1DSCr0NmygRIjjfR6v0M65ykc7nU7OnDmjSRBasGABl19+OVW1p7n/nnv47Gc/G3dJ2G63c/r06fMamPhvQXl5Oa+99hrt7e00NjaSmpoaUxZ4AJ8O/PSnP+Wee+5h0qRJ7Ny5k0mTJmEymdi+fTuf+9znzttxBojxAFQYjUbsdrvmhRMKhfB6vXg8HhoaGujt7cVgMJCUlKSS5aSkpA/tZf2vmKacOFXHsMnzNWRORFmVgVORDowoHqIaqI0eN5Gdjd0aLa4csRIRKBE9jZcAJLxYwwEfIW8PO97ZyPbt25k17yKNblgfbbvvmX3cdf14IEpMZEsstycaRdYTW3mA7q+ctPCOlROZZBcOiGpgBdESiVAVdYr8Q2/RJYhnc49fXUKvPVVNTqaDXdvfYU/SKNLL5yh91/fbsZNnaMjNmsMNYErB4A2w+IqVBAK9OHOL2PDaS1xx2RJef/llMgYPYWTxYEYOL1H31R/x008UhFtFDMnSOSTI/dvSEaK9w0WqTVk9EDIGRbKh7V8Rrd5Y3UJpTrRvRfJiodOiKcbx8rEmlpXl0NzlYf/mjUyfPp3TdbXUhoIYDGBKTCLFasNkcdDVa6DF04s7UYrixlld0V8XkdQnI16REYF4nr4VdW6VxArZUHOPX7U2E/eNXiohpBCyk0ZRhk2NHusnfLJMob+iLEK7D1G9sZ6UCg29uN4yRDtyUs0xxHX7nfOZfv/bcY/bH+R9yAmU6vHiSFUEAoEAmzdvZvfu3dx7770UFhZitVrp6urioV/+nGuvvVa1otJDLB+3t7eTmZkZd5tPKq666ioefvhh3n77bQYPHszx48d58sknGTp0KMuWLWPSpEkfdxMH8BHh0Ucf5YUXXmDp0qWkpqby7LPPUlJSws9+9jOOHz9+3o4zQIwHcFYkJCTEkOVIJILP58Pj8dDa2orP5yMSiZCQkIDNZsNqtarR5X/XYuiDmtuHQiFcbc2kZSlOBXJUTZAqWVMJCiHauaea3tNNHO1wkmFJYEKxthZ7f2WUBVbvrlGdEswp6aycOYr8LDtXDpvAzj37KC2LdWuQq+BtrXKrxSFkmzA5olZuc6gWa7LLgdqWPk3jlMI0atqiREOQG1nDKRdSkSNvKsnvSz6T4eyLOBdm2DTlh12eXra+uZbJF0zHlGBiyfKreFmXmCagX2aXYTYnYnYkMmPeYlzBRC5edhU1pxvxGFNUL16BePppeSIkF/IQnxfpJjoOqzlmVSDDkUzD6V7NvmRCV5CepMoiIGonJqQWmslJJII5EqDMHqS7x0uSIcjh4+1kJpkpGzuJzpAJoy2F9BSr4vcNpPRdS0MgqjcGYkgpaCU+YgIj7gW9e4Zs0ydDPrcphWka2Yx+oiH2LScsimOL/pUnGmIyOqUwTV2tEJINvaNJkTS5FPe0uDZi/3KZbtHeXbVKdFvcC3qLvXiIR2iFO4V8rLOVgdYXmIHYiLHo20AgwIEDB9i8eTP79+/nxz/+sVoIorOzk1/84heMGTOmX1IskJGRwYkTJz51xDglJYU777xT81lXVxfvvfcef/jDHzhw4AA33XQTBoPhUxlR/zShvb2dsWOV1eC0tDRaW1spKSnh2muvZfLkyfzhD384L8cZuIMG8IFhMBiwWq1kZGRQWFioaEbLyhgyZAgpKSn09vZy5swZKisrOXbsGFVVVZw5cwaXy6WS6PcLv9//gfTFdQ3NWJJsWG3J5964D7VtHnKLhnPB5Km0n6mjsctLRZ2b2jaPogWVyKfLo/itrj/azH3rK7lvfSW3Pl+hkmKB7GQLLk8AT8hIm6ur3yjSvOmKFnrD9uqYUsPR6nQKea2oc/crs4gXDQRlgM+zW8mzW+NaZwmIbfTJRvJ+9O0rzbJT5jCy9c21zJq7gNKSQtIztBOKgvQkclLN5KRGI/YykRGV9WQiY0lSSFNHTy/vbl5PgpSNnmuzUPH2PznV0kZXW7PadkGslpXlqK4OstwDlOijXB2upi/ZTBCgJJOyauIPKIUEmnv8vHysSZVPFKQnUdfuU8mw6CtDJIzP20N7WytV9adI97dyodPHrPQAF2SZKc91YklxUBV2ciKczuaKI5zxGTAlpWBMMKnHEu1yWM0UZdhUrXG8SKi4FnK/ub2BuPdBkkmWEpg1vy/NsqvHiXe9BWQLQFCixGKCGe+eLNSRZFHeXVx3EYmfUpimWvSpiX02rZxCrEzISbJiezFhAK38I2rjpvwrSqiLfcfT1stkXySbiudf/NcfZEcK0e66DjcVm9dxyy238Nxzz1FYWMjPf/5zlRS3tbXxve99n7z8Qq6/6fPnDCIkJCRgsVhUa7dPM1JSUpgzZw4//elPOXjwIH/5y1/w+Xxcd9111NfXf9zN+6/EiRMn1Lwf8Z9I9ty7dy9Tp07FYrFQXFzM6tWrP5Y2zpo1i1/84hf4fD4mT57MY489Rk9PDy+++OJ5LZ0+EDEewHmDyWRSK/IJRCIRAoEAPp8Pr9eL2+3G7/erEeakpCSsVitJSUkkJSXFWMD5/f4PlIl98sRxvD1dnOnsYWSuM1p9Sor+xFvudHuDGI1GZsyYzfbXX8I+YzrOkmg1N5mUNnR7qXX5NQlYoBAnQcpEVBfg7SMHmTHtAozGaEhJOADcNr2IDduVknW3rt7DY6smaWQObm8gbgndeBZVgiTJyYCFGdpqXvpImvy3OD8RFZaz6mU/YPH3lm07SUu1cemyK/od1Ovafdz0rOLre9/iUo0Dht6jVl9wJOJuJit3MOl2C61epczx8MxkXKVDmFqcTlOjj5buZtLShlBfW0P16RYKS0o1VnUN3d6YaKtwDNBbsfmCSgQ4w++nrbGDWreS3FGQngREKE5NwNMZIDnYxem6GkydHRQCgxxWwr5u9rX68SbYCJhMZOTlq22AABjNRAjT1VhLfuFQklMdMT7J4m9x/WTJjhzhl6GfSOlXNnxBhRirEU6btnKf0JjL91O8CZTsiy0cP4Q8R0wQ+kv2E/sT+mEgbnKgHg6bmXKbQ/PsufoItkxS9asHems9WXOsb58spxDPn5yPAJIW2xbbt3orOPH/Nacb2fqnnzKmbDg//OEPY5Lpent7+fG99zFr1oVcfvV16v7iWcbJEEl4+v19WuFwOPj+97/P9773Pf65XyHE+/fvJz///Re9GICCpqYmnE4nR45E3YUMBgO9vb0sW7aMpUuXsnr1at5++21uvvlmxo0bx7hx788p6nzhwQcf5JJLLuHGG2/k3nvvZdGiRaSmpmKxWHjqqafO23EGiPEAPlQYDAYSExNJTEyMmdGFQiGVMHd0dODz+dSynyaTiaSkJLq7u0lLSyMYDJ7Tx7KhoYGnnvwzE678Ak3eAAkt3RrPV31EKl4UNzvZwrIrrqXl2E6a2rN58tU1TL/4Cs02Yhm4rt2ncSTQR3TFgHzlZ27ilTV/Z86CRaSkpGoKbABkZKbQ1tpFW2sXV/9qI7vuv1RdrpZJsZwdL5N7Wf6g11W7+xKhRLsq+/pEXiqWCYPeTkv0l6unl0R68bQ3UdFezYGK/fQOn4nRayLc3kdK2qKyjZklDs3kQfwr2rFqclGM44ZI6hN9bHBkMyYrl/VrnmPBsmtwe4MYDAYys3JJS0/HaE2hfvce0uwWDu6qJHdQHiMHJZOUZGbV5KKYYi16ciPIlCB7DV0eGt0eEg0B/L52BhsiWAxB8uwWbOYEDAkRahNChAwmWgJWgilJYDBQFwG6AEsiWZao1RfEumUk2h3MGzGYgtw0VXqhl23E09uKym7y5ES/vZj45KQq0W81KmqLVmbTW4qJ/pcryAn0J0eQI/6i74Q/sV7PDagTLJcnoJLYmjYPRUSr2IH2eZSvlVzWuqHbq64OnC05U7639J+J3+onEeJYAvF0yf1BlmUBnKzYwQWTJnH7V78Sd3uR1Oz1BzSE+lyw2Wz4/X5CodBZfeQ/TUhPT8dTfgWhzU8A8PrOCpYsWfLxNuq/EE1NTeTk5JCbqy2Y9Oabb9LR0cGvf/1rkpKSGDFiBM8//zx/+ctfPnJiPGLECKqqqgiHwyQkJHDy5EkOHz5MQUHBeZUYDRDjAXxsSEhIIDk5meTkWNlDMBjE5/PR3t6Oz+ejpqaGYFAZpYxGI4mJiVgsFiwWC2azmfXb3uMff13N1PlLMA0pA6LERzhMiIFbX9FLDLAyWawwTKO5x8/0i69g8z+f46prb2RIZrK65K6vDieWYeOV5k1NMrFg/jxyczJiKn45rGae+9I0rv3dDkCxb1v86y18+eKhmv3n2a1xizA4dYO/PqlObCeipnI0uabNg9NrjksQ5O3cngAtrm4qdmxm/qJLCAYDBHwpJPTJAOJFtEFJPpOj6netq9QUr5DbGS/aKSLucy+9krqaKvILi0lNMnHk0H6GjVAqHV51seKnXWuzkJKSii9kxN9PAlSq1USgt5f2zh6OnT5DSiRIQiREj6+X1k4wAzmGBAwGmJCTijtiIZJgJr3Pum/13nrq/EkMTrBiNFtYWOKIkZ4IP2vVEk063+6OVkxd1aQ6RitJb7X+GJ20INKFTovqBCGIoNARC432lMI0jSWd6EeIdVjwBbURSVljK1wfQOtuAUqhGEEwoxFwLXbUuzRV/jSReaL3pGwJJ+4Z8V1/hFyfbJpnt6qJsLIVY0xxGOEzbI22QQ89Ec3O1G6jT6pzSBMMue8g+pwVZsCZVhdbNm/ili/FJ8WHjh7nzddfw+f18M6WTVx6xXX9asPjISMjg7a2NrKzs/vf6FMCUY7dmJaHadQ8gofeovHo3o+5Vf+dEMRYj8OHDzN8+HDNym15eTlHjx79SNq1efPmc25z+PBhAGbPnn1ejjlAjAfwocIXhD/+/nd0d3UxesxYUpKVLOyZM2eetZKTqNSXmJio8e6MRCLU1dXR3NyMy+Wivr6ehjONOFJTueq663GkZQKdNHqDhAwJdLh6eG5nB8vHFeENKsv9+nK3+uVkPcmd/MUb1fLb4pyEplhOPBKDo4h+ghIVD4VCVOzfR27uYvV72acYoHx4ZkzpWlA0uEUZNk30Sr/ULZNkAWErJ0iTIAnxiIjsj1yaZVe/O3N8P8ZEG7V+Hz29IabNvwSz2cyrx1tUbezyUXm4vQE2Vreo7XXazJTmKOe3tUqbhCeIn4jmyvZwMpmVtahOmxl3RzvhUJh3G+oom32ZGkFV++mCWdRUnWTHO5sYOXo0lZXHSSIRq8XCO3tbGJmdwrHuXgwJJgwJSj/5jUkEjSbCZiMYDGpbgh43kUiECNFCI3LxEnGOMmmTo7x6ucPyUYo93elmC4GyoXH9oPUQxUoAVk2ILgvHm/TIkFcsZEcGUO61pNRYz11AvV4y4ZOLejhsShReyGxq2zzqNQfleokJaDzPY4fNTGVLt0b2sK/JRXmBQ3Me8uRPhlzwREyY4rm0yPeEkFGJyYOI5PfnRPH6bdNiyHA86KPItdLzt/e9Pfzu0UcoGzWG8tEjYn574lQdv/jZAyy5bDkXzp7L8OGlWJLMMVHjsxHk9PR0KisrycrK+reTm/+bIUixKL8eHrOMpw+9BSjVT63W2FL2A+gfTU1N1NTUUF5eTmtrK7NmzeI3v/kNnZ2dMRUb09LSOHjw4EfSrrlz576v7QwGg7ri/O9igBgP4LwgHA7z+uuvk52drbHPiQS8bNrwNld/ZhV79lWQYACfv5c3397EQ7/6f+97/x6PhxfWvsm7W97G4/GQk5tLcoqD9EFFTJh3OenZuQzJTMbtDRCJRBhqhtqWTk60ujCHe3n9vaOMyLDi9kRNwTEYGZxhJxwxkmAy09UZwGQ2k5IInf4IacmKZ/PGt9cz9+JldPqCVLZ089jTzwERUorLAUUnK8i1GIxtJujt6eC1dW+QX1DE8iUKKa7VRTJlwiVjfI6TqcXRl5EYKIVcQx8hFJBJiewzLBNx8Zu4BTCkqG3+8FLWrXuV4cOGk1oyWkOERBtFYp1sVyZjZokjJjERFOJX6IytIigg5CqRcJhgoJeykaMJh4LYUlLp8rTj74W6YDOBUDSRMy3FQkrpcLZs3sTI8omccQXYs3UjxZMvZNvr27h2+ZXqeZcNjl/BcOGIbPae9BL2drFwTJHaZ+I8CtKT1L6S/Xr1FRLl6yK8q99683XmLL5cPZY4T73nr9xHAKv3KtpJEUUWVnpCx76xukWNHjd0e1l7sFkj5zibHKA/XatwMBEJaHIymyBxc4uzcFjNPLKtmlqXX/VtBqV8ur5IjWiTvOIiJ7zJpFaszIjjjc9xaq6X7HxRKElwBAozbDisAQ3pvvX5Cs3kM95kNF7Z9bO5U8jk+fiRg7zw5O/4+jf/l4njtNW46uvreeGFFzh46BBXrbiWhYsW4/YEVFIsFwyR+0C0RT/hCBkttHf2kJxsV9v9aYIgxQD3LVZcYiqbPFz4xTt595mHeO+995g5c+bH1byPDCmJRs2q1Llg8vmgn2KopaWlTJ8+na9+9auEQiG+/vWvs3Llyrj9KBxAPgp8VMeR8Sl7nAbwYeHo8Sr+/Oc/M3/hIkaPm6S+qCMJFhItFsonTGb8jPk4rGZ27NzJ1g2vn3OfQkf35DPPs/71tQwuLuWSKz5DVlEZQ7LsmoQkOdmsts1DTxAmDBtESV6mugRcF7GCVYnuRSIRiIRJtJtxmJQEQa/XS21tE5FQiEg4SGMbnAn6yc7Jpab6OL1hI80NzUycOIkARr46Zxi94RA9gQi2BBNpKUlEIhEMBgMJYT+NZ87Q5nKzdPnkmHLOgIZIAKz7xiwW/3oLba1dPLq9hqnF2opqt8axQLttukLeyguUQhPNPX72Nbk0dliqhrNvANYXRoCoVlUmJx09YfJHT8cDHJGIh/CMdVjNqo5VRCUrm6JlhcsLHNwyragvahzhRwtLCAaDePxBXN0+tlY3YySMMRL9z0AYA5CaYMFiMmIIGfF4TSQnWXAmW+j2mQibE3AbE5g5dBC9YcVYR0TtTED5rEuVdpr8BGddTILJzNSpF3KivoFh+XmUZtk1ZGr5qDxVnlBR58ZoSiQQ6lUJocNmZm5xVoxeWJ+kpfe3FhA+0iPHTaapoY6cPMWVQNZ617R5ohXv+iYgwgNZ1mmLNsjSBVA8oYWuuqHbq9EMi5LJ7wdCmyzrc/X70EuRbp9RzCPbqjVt3lHvUu+xucVZmlWS96vblaPX5TaHet/KCXh6yczq3TUa/frUVAe+YGyU+LkvTYtJYD2b33M8HbD8PHd0+3npL3/mC7d8KYYUA5w6dYrt27fz7e/dxegxY9XP5Yi3fC7y6pU8YRL/n2lJJtTQSOnwYTHH+qRDjhTft7iUps6AWukzKcXJ0JmLee2115g+ffqAddsHwMqVK1m5cqX69x//+EcmTZrErFmzYshpJBI5Z87PfzM+uWc2gI8UI0uH8oMf/IBB+UM0n9sSjQwdOozDR4+SXzYBAJPZTCh47tHR7/fj6uxmw/p1fOcHD5CYkq75Xl+RDrRevQJzi7NUZwYRnRuSmUxNm4dESxL2vsFu/dFmMDk1T0VGkglfRyOtLS0kJCVzqL6VQHI25sYKqltyybCZMISC+IJd1LUH8foDGCIhDp+qYVDBEBZddBGn607R22nF5Q1jMCZgTkmioyVCtqEHEoOEgK/PGYoh0MObX5vMDb/fxem6Fub99C3CEQhFIByBUSUZhCMGwoASJzXw6PYafr50pHrewlpsRblVLUzxQkWjajU2s8ShIc15yUkQiQARIqEg1U1uUiwJRCIRkhMidLtaaWzroKh0JEQiTMpPpcsbwBrqwt8ZpscXIBwJ421XBvnm7uhAX1sL2TYLczO9dPmC1NTU0NAZxGBMICtVaUPQYCJsMHJBYRaFmXa6e5WJhT4RCxTynZkVtUnrDRvjlt8VEXIlGukgO9nC0epT+L0eQqEcXB40yYW7ajvUKCzAkKwUTnWeUSN4gvTFve/67p2OHj+pSSZNu/VuCSe6AlxcmkOXtrka6Y1exytHg+rafRJJbmRmiUMj4ZCjr5Ut3UwpTFNt6cptjhhphYy71lWqkTc9KRZt1J8zRCdbqybkS1FyV58UJOok8fKxpphjim0hKjcR+9QfR4aQYKjbnyUJzxfUFhLZfud8lYzKHtYa6YhUIVMvCdHD6/Gw/Z1N1NTWkJBgZOa0KXHbMXPmTPYfOMjqJ//M5VevpOpEJUNGjKVgyFAMBgMbq1s0qwcbq2tivJ7lJNpWP6R6veyvacdgVJLw5D75pEaQBSl+cqUSNBA2fPJzdvfnruTOO/fw+uuvc8kll3z0jfyEYNQoJY/DYrHQ0aH1nu/o6NDICz9p+IQ+PgP4qGEwGBgzJhopcblc6oMzZmw5NccPk182gcqWbuyZg2k6U89bW3YysnQYeTkZcffp9/uprDzG+KkzGTYkXx0w1xxuUJOC4iFeYt2UwrTYpdG26Pdy0QmxrTowpgzBUTYctzeAtSeV1nYfmfljOdRtgO4Qy0cNVn+bhhLp7k7MxmCxcOTESdoaT1M2fgpD+6QcCUmJ/GNvHS2dYYwGAwmGCF0excIuyWSgKBVMBjAaIMGomI0nGGCQzcOlI7NJMER4p7qd7j5G2FBzAos5gfWVLUzqs6OtqupicHE6k+x9NKy3i2w7+Jq7qGqGwQ4LyWYTNl9CX0U1A/5eA91eE6HEBHzBCAYMFOVlM7I4j53b3mHhggWEIxFSbIkYjUalUmKKkR5/mDdOtBA2JBFJtJGXYlMjn+0hqA1bIBGOeFOUDDfA1QOLyodrSFhPAFUzqV+GByWSWdPm0TgizC3OojTHFmPhJUiOIBrTRg/nSKObl1/8K1esuF6zxB4KhdixcycXTJ2q0Wz2R1J31XYwZ2ga+/a+h91up7Ozk3Z3NwVFQ9j+ziY+99nPUlXbQHayQyXcDd1ebI40Xln7T2YvvVYlOXI0UB/FB8W9Q0QNp+UriW6CHG+tcqsylZklDvY1uZhbnKVGnMU9LsPtDWiIsbwKIUjHY9eUx5BNQRb1Zaf1ZaEhmugmJhT9kWKZ6MsVJzVOFXHcJcTnECXustRC6Ndlsi3/TtYmi/PSE/8aKeIu7kX9JOxUfQNPPPoL8vMHk5s7iGnXrexX82swGPjKl27l2edf4qXnn6G0tJS//ulRrLZkMssvJHfkBI3bB6AWQhG5DnLfur0BWlv9BD0uzHbl/SkXJxEQk72lYz55iXqCFMsSr1umKStoN998M7/+9a9ZvHjxp1qH/UEwa9Ysvva1r7FixQpA8TUGyM3N5fjx43R2dqrOUhUVFcyZM+dja+uHjQFiPIDzjmeffZZ//OMfjBlbzl13fp8pkybwxrpXmbb4WgAqu0MUXXARf/3bC3jbmykpHcmMKRMYMmQIpaWl6vKX3+9n8OAC/vHig2zbshHT8OmYyy4EoslvP186sl//VIj1+9VXDhOQByE5mU1eKheDcEF6Eg3799CZYiIY6GUNWnnB3597mkWXfwa3N0jmoHxS0zPZteE1mL9EjegqUI7/2DXlUSKXYeNbVzjUl/2qyUUsf2wHza0e1q2YopKES3OG8Mi2aurafew+EOCxa0ay5z2tr/K1RcPYc+CIegy5Ot+eboVMjc90quQsO9miFiiQE/QSbGbmL1iA2WLBHUyEMBSm2fpcEix4IwFCRpPa3mhClzJI3bWuUtPHArtqO2LkG/1dR/H/eh3uxuoWXB4n5QUOjfUbREmEuJ6DUm0su+JaNr72ErMuuow8u5X0RCOb1v2DkrLRdHT7MSYkUNnSjckXxECYiEG5F9uqDpM/rpzqfTuITJzBU7tcTEpNJTmniOQcGNR3f1xw8Qrq272cOn6Y7BEXqO0U55194RK63B2kOLSJpzIhEiRv+ag8zVJ6drJFLTM9tziL+986of5GXNetVW5mljhiSHZFnVu932V9ph7hQC+f//MWEmypGAwGVpTnaop/6C3ZQBthlp+VZWU5KikudFo0vtX3ra/s84dWCPILFY3sqHdx+4xidT/653pKYRprDns1x5STXuVJgYyFI7K5W/eZPtFWlmL1B1lqUd3SzV///DtGj5/MbV9Y9b7Il8Fg4Pprr+T6axWteygUYseu9/jDk09x4p3XmLjiVpLTslQpiIAg7nIFR4fVTGp+Dq2nqxian8qB+s6Y48n3xwsVjWqU9ZOAeAVaZDhyiwmGwtTW1lJUFD//YQBaLFq0iLvuuovBgweTkpLC1772NebOnct1113HnXfeye233873vvc9NmzYwLZt2/jtb3/7cTf5Q8MAMR7AeUd3jzJ4HTxQgd/vZ8iQITjTM+moOcSUqdNZc9hL0eQ5FE2ew4gUM6cO7ebA4WOs+ecrBAIBFixYwNTJE9l94Bgb169Tdhr0E/H3xBzr22uPKBGuOB6lNW0eaIsuMeq1kfEGUX0yWn+WT3njZtLc00lOUhLNp46TN6Zc9Qi+eMlyPK21FBX26f+SLTROuJDf/nk1mZMWaY4nfJBF9rxsaTW3OEuz7eJfb2HdN2bF7fN4+mM5sU8kMAnStbXK3bfU7VK3EdpbWfcovHHrGlooyMuCBCUhURAKEWkXxE+/hCtIsTif0hxbzPK2TE7iTWTkayAqpgkI/W55gUNbjhmt5MHr8dBRU0mgN4C/x02SMYjf52Pve3sYO38ZDd1enn7uGa676hpcrc1kWM0khIK0NjXTeKKKYcVFBAO9ZBYU4+/p4lTFuyy8/jMxfa70l50LZi3gr08/weIrV9J8YBsjJ89i/5HD2OyptLWfYeyk6ep5iLaLZDpBgGqkqLcggPLE4rFryuNe9yhJjn7XXxKkwIryXP700josWQX0djQSCQUx2Z08ue4k1twhFGYmU9fuU8uW6xFPfgGK/lj4NYvro0S/nYBCWu9bX6lGjx/ZVs2yshzFPUWQ7X7s9yBKxJt7/MpzXq39zmHVlumWi/zIE2D9fRfvfnJ7ArQ0NbJh/WscOXKEJKuNL33u+n85IpmQkEBLcxOGgA9/t5veni6S07LUiLdeShEPvb0JnDzdgtOmTF4cVnO/Cb2yXOaTAvkZF9FiUCYho8vHs3r1ahYuXMjYsWOx22MrSA4giu9973t0d3dz9dVX4/P5mDdvHr/5zW+wWCysWbOGL33pS4wbN47Bgwfz5JNPMnLkyI+lnU899RRPP/00dXV1asL/XXfdxV133RXjnvGvYoAYD+C845Yvfp7P3/xZOjs7Vcuc3JwcDGHFEWJ8TjRKWVaQRm7mwr7iFL0cPnKUnVs38Mb69Vw4c4WRJqwAAQAASURBVCYTFl1FXslIdUn6hYpGfr50pOblf9/6StXSytHnCiBXbotXnUq/TD4+x6nVLUpLuCKyWZRhY9WEfJVQ15JKitOCq+k0wWAAk0l5SVssSQTNCgkXPsF/399Dermy9CQiZXctVAYp2R6uucevRq7jRa/k5ezbZxTHHQSFnlj+WyYQeXYrBen+mN8phCa20EMkEmH/3t1MGv9ZtW/E9zKRk1009Ch0WlRLsCSTsrQrlkJdGkKl9ZoWkTIha9E7bIjlcz2JEX3lsJopSEsiEDBiLcgDezbZw8fz+it/55Ily3CMnYDoqfIFy7AQoPVMPenDhxFpOEWiLYsvXnkZ+5uV/Sf2laseMWOhxq0g3vGvu+GzpFpN9E6aiMnUi+/MSaYtWsKWyl2kWAx0+bWl0fWFPfor9gHRyOaTK8tVwuMLxp8gAf2S4ic+oySCvfLKK/y/lTMZXDSUW5+vUO+hnrqjBDrbOHzqAImObO5/C7xNNfzk2pnkpKdiMpk09ofKikM0eiwmpzJkuzVxH4vVD3Hfqi4NOq9rGeL+EO8S+RoIazm3N8Ctq/cAigvF2fpSRrwEvCMHK/jz479hxqy5fOGzN1I6qvxfTkAKh8Ns2baDZ59ezWdv+1/GjR1LRqpVU9RHTJAFQRb9JveDKdmJp7ONRKvyftxR71K/m1niUMniTc9WxFTq/E+HPKkGYtqvX7l4fEcNt0wrUiP7V1xzPbu3vMkbb7zBH/7wB77yla9oHJMGoIXJZOJnP/sZP/vZz2K+mzRpErt27foYWqXFAw88wOOPP87tt9/O3XffTSAQwGQycerUKb7+9a/zxBNPnJfjDBDjAWgQDofxeDx4e8NkpUcr1dXV1bFt2zYCoQg5ubmMnjCNvLT+SzUnJCRofIprT58hZegEJqJEaORBP5phHsScVcCFl68CINXbRFJm1MO4NMvOivLcGP/WunYf9791QhPNkgc2UaxCDLZyBr2AiDzKURq93k+uyqa0Xfm7YNQENr65lssXL8EUClPf5OHIe+9SMlRpz5rDDZyp2E7BxDkYTSbuWliqnK8nENeLtj95QfnwTI1DgHyOohx1rcuvkndBhgqdFs0g0tzjV7cFrZcwRAde4QKQnWxh3OwlbNhzjIkjS1SXANHP/fnyykVQ5GiOgIgei8p7H6QCmB5CeiBsvgTpBnC3NFBfV0tq8Xj29U1q5i+5CqvNjK8nrLnOiZYkMuxW2uurMRmNFGam0yJZ/IllbhHJjldBrbKlWyUxbm+A7NxBNJyuw+lMx2ZL5pqVN6lRVAHZAg5ir4mwA2zu8avFWkR0/q6Fpart2pMryzVSCf0kSeDLJR5yc3N54oknuOmmm5g8eTK5ubn4glppz/1vKfIKU0o6XSf34TlzEmtOET98vZL2/Rt48Rffw9PTw5naM4wYMTImuivLleIRUHEfy8VgHt2u3Dc/XxqNSOmrOkJsoq3ezk1PrGUpgbBN7E/Go8eZFher//hbvnzb7UybMvF9O2v0h23btvHoww8DcIpUhgUimDzRJEzxftTInKxaS0Xl3Mx4/G1UNrl54aByb4t3Qbxn7qZnK2IkFeI5jbf9hwGRKyDQf2KmFnJAoT+PaRlDchwMufpqrr76ajZu28NDDz/Cr3/1SzIy4ue0DOA/H3/4wx946qmnmDVrFj/60Y8AhWvce++9TJ8+/bwdZ4AYf8pR39jKpg1v8d6e3XS6XXR1dWEwGDAajQzKy2PQoMG0NDdRf/o0E6bOJCXZyj9feY2///1FvvnNb1I6dMj7Oo67ow17Wqbq6SpIsSx/0OhHI9pomhhUxeAYbxn5/rdOqPZlbm+0AMT6o8009/g10ZT+EC8BCmIdBgBN2eGFl1zBqcZ6EjydEPSQOaiQFlc3gW43J3ZvwVkwDGNfdGn90WZVrqEnRFMK02KIYW6ajeZWj+K5Or1I1V86bGaVPMiRS5cnwKrJRayarPxeWHCJY4hKYcIXF2K1u/J2YpA+U3WEyIhizTayVVl/EMvmgqyKyLEM4dMKUES0oImeECmrAajnvHxUnhr9F6RY/M7tDfDmuleYc+EMUovHq4QLoj7KMvLsVrzhBHpNVjIHD8EZ6sGa7tBMiMRxxMAu+kZf7VCjB7WZORJMZOSUaFUmoY91ewMxBC/eRMNhNauyFTlRFJR7VtbXrijPPWuy1cvvHGSXNxXz6TAT516J0WiMKQMrcOeCYepksi5hMr3uVsyp6RgMRrKmLmHFXY8wYvI0rh4S38pNrz2Ol0ynFg9xVWpI/LfXHmFmiUOVFMklw/WQn00RLQatzrY/MhtvRQm0z8Sra/7GiFFjmTZlIvDvuz40Nzdz4YUXUtMdwWSxsrG6ReOeoz8+aAu6yL7jx3sT2V1dByjEMZ5cQqws1LX7NHZncn9vrargsWvKP1RHi6ZOZeL0fsmwXqceL6FSfg8/vqNG1bLLFpm2QcMYP2M+X//6/zBm7FhWXH0VQ4cOjdnXAP6z0d7eTlZWVsznLpdLsWA9Txggxp9CiOiSx+Phh3d+l/ETJ7J8xfUU5eeSkpKK1WqlrdPDicqjuNrbGT91BjmFw0m0KFGLcXN72P7WWp556knu+dEPz3m83t5evD1dDBmklJuUozhy8QCBhSOy2VfdSiCg3J5y2WNRQAEUD1+Z7ECUqOgry+lJsdA+CogXqwx91G7hiGxVG9vc49dE/Eqz7GQnD1XbWJhh49lnnqJ3+EzCmSXUbvoHY5Z/QdNOmUzK56XHY9eUqz6sLx9rYtWEfNUDWcgx5P2A1ooKm7Y0rww90ZBty/TL+IsXX8zrr7zM4qXLP1BUV/S9IC+VLVaVuOlJu3BqWDomWxmgJWcFsY18z+ivoRgUHTYzFmOIRQvmccfr2msrIk9y+WXRvoZuL6TlkmBOwhDqwtnnYQxKX8oEXkBPYMR+xP1T2+bh3S1vMWfxctVGDeJXroPY6HE8vat8LCCmCp0crZcdH/60rZK3/vwoo+dcQldbM76xU9jX5FSjhfqJBaDasQnpiDwhTRs7myY/PHo0woX7/sSqz96saZ9sgyb+lcuNi/27PAH1XhaaY4g6b8wscWiS91bvrlGrLjZ0ezXXMl40cfud8zV/qzZ0UoRbL98QEdsXNu1l29YtPPLQr+Neg38FVquVkx0+Rl98rfqZ/NzFm6j2hxeOdjHFHiAvL5tbpg/RJKaJySIohFleTahr96nPgvj7vvWV/Uab/xXI5BSUPhYFa2SIpEv9Ssq+Jpf6fJ5Ncy1PDNcfbVafMQGnzczSy6/msksvYdOmjTzwwAMMHz6cq6++mmHDPn1e0P+tuOqqq7jjjjt48sknAUVLXllZyW233cZll1123o4zQIw/pfAF4d3de8nOHcQXb/0KoLzAWr0BHAQxmxMZOVpZctNn+6clJ3LRJUt56Mff4ciRI4wcOZJwOEw4HI6ruWtvbyc52U5mav8Z32JQEGVl7eYwJmcKxjhFE2SivKJciXQJt4cXKhrVhDZA40E7Ld+pJpjpIQbdeMRHhkyOZWysbomJZqy8/kbuW19JkjOTMcu/QGLVu6SUjKKh26K+5F0S4VcT/nRRtZgiBtLAIggCxEaU4vntikhsXos1xglBkHMxMMukWQzUBaOncvjYcQYXDtH0Y2GGNqlOdjKA2Eh8PO9h+ThrDyr7WTomW5OcJm8rcMu0Ig0RFOjsdFNdVQUkq5+JFYV4EStNdTVdQpXrLMv24vzG5zjVKLt8Lk3dPpyFw1VJhv56uuJEKTUJoH2JmTJhEgO/26v0c7xEUrltq3fXsO+NFylfsIwFn/sGhelOGrq9+Lo7ObzldR7n4nOSIRGpXlGeqxJt1enEYODqFdcSDodjiirI94kgPUIzLhNR8d2yshxVxrO1yk3w5C62dAxm1eQizcqNfnKmjyje/9aJuGXW+4PITRBkvvrYQTq8vRze/hYrrrqC9PT0c+/kfSIQhohUvlYmfbJcRr86IKMww9Y3STHQETTRVtfGTdWx7hTy+/DJleXqs5Jnt2pWFkREGfqviPhBIJ5xsaKjL5AjVqw0Ez9Jjx5v0i5Dvv6FGTZN4qXeTlDcY6kOJ5ctu5xFixazZcOb3PfATxhWNpovf+GmAYnFfwEeeeQRrr/+enJycgiHw0yaNAmXy8Ull1zCw33SpPOBAWL8KYSICuUOGkRdTTV3fvcOsrOzGTN1DsNHjtFUqdJDJLxkpiazdNly/vzkambOnMW619bi6uggL28wBUVFFBYWsf7N1/nRD39IZqaS9HL8ZDXDhyqRAdnhwS2RMWErFQz0YrUmYo9TSQy0Gfv66IpeYiE0d3KZXD3WH23WkLflo/I0WeuineKYAnqJheg7mciJAaA5fxHH6xVSK0cV5dLMoNcQaiEv/4siCvpEQlBIXqGuj+WImLC+kosKyJDPSe7jE94I4aoTGJJSeXfj60yde7E6UZEHcTHREe2NJ10QkJffCzNsmomHIMia7fsKb5wrar373XfZbSoBFAIi3Etq2jzqJEm4lwiSJkfVOxpaSE0yUduu9IU4P7lv5OsvXCVk7GtykWNNpK65mbwhw2IcNSB2ZULev7j35P2KayHaKfpaWAbK/eSwmVl/tJn6zm6GTZ5FviNFQ4Ye31HDyAsXcXT7WzwWmc+t04cov7XF2hTKWH9UKTu9anKR6n6xadMGLpw1h5SUFM22csRQttATSZXlBQ4KM7TbCRlUnr2Z1a9ugV4PP8hMZViR4hkuJrJub4C5xVms3luvEi+3N8C1v9sR02Z5oin6UFifiXNVqx1azex4+xVOn1KkGEvuP/fK2AfBznd3M33iFIb2TcbiWRlC7KqNaPOaww1sfSsaWa3zWxhh89AejH0mbn2+QrW1lCek8srCLdOKVCvAWpef1btr/uWosd51BmJJsVgdqG3zxKyG6CtzimdMrxmX3wHyip+YCMorDHpYkpJYeMllFIydzvb1/+Qb3/wmCy69khtXXDZQLe8/GDabjZdeeomTJ0+yb98+AEaOHKkWIzlfGCDGn1IkmWDE8BK+ecd3+en9P6autoY9u3fx3Tt/wKjR0UIdwrdUJi/i78kz57N7927e3b2HL976FdJy8qk8WU3DiQP89dmnycnN46tf/SrZ2Tl0d3fx5IP38M2fPKa+eOSs/iKiJM7lCWAniNkcHWD1JEguOLD+aDMrynN1HsFaiEiSyPqWl171L21QIs2CyMm2afqiCaVZdvUlLtwrKluUQUEfJc1OtuDuquVkewvOnMF43B00S8QqO9miKSgg/l3+WHSQF8vHoEQJBTmORzplyYG8XAxorL8ECRHFD/QDlT5L3lgyjsqeECPLp9PT3kje4ALN8rN8vmKQ07fvbIl2grjFI8XiHAozbP1GtCKRCNXHj7A9mEuzJ0qKBWR9pvjb5QnESEiMJmWCJvTD4nNxXoJYC2/dhm4vC0dkq9H4hm4vkUiEra+8wLD5y9XjC2s+GfuaXBqCrCfbqv2g1D7xmdhWLmIj+sntDVCaZWfuEBt79tQxR6c9FtH2gpHjCfb6NZn9eiIitNT9RTE3uWxMMyh2fvGKgMirTnKUUL7fygscmkIaC0dkM/vxx/nCZ2/g1N8fJOGGuyjOjt6veqx6ag/NrVqJiiyj0E82a9o8lBc41L5Vi3kYQzTVn8JgMBCJRDCbP3hCaH9wdfuoPnGUFTfdiq1PXy2IpPz8yPeILLVyewMxLiO+iBED8JWpgzEkRB8MITV7ZFu1KlcQXuPyKot+xaXWFb0XPgjirdyAdkI/tzhLc384bWaNtlqGprS97n46F1bvrlFXwuSxRp4gJVltzLvsWi5asICn/vRb6k4c5mu336YWshjAfxba29v51a9+xf79++npibVvffvtt+P86oNjgBh/yjGydCjJycn09PSw7PIrOeo2EKxzU17g0LxA5CiyeMGkpyRx2ze/p4lEFg8rw5k7hIyScZQNH4Y53Mvh6no6O9ox9FVLkyETpHJbdLBsdfdgtGeQHSeRR0BEDgXEEq8o4xstn+vrdzlP/ltP3sR3q/fWq3ZwELuUL0cN5e/iJftddcXlVFdX8dbpXrramlj/2mFGzLiIlp1vELn8OsYVOmP6Rwz0z31pWtTGrC/BTmiN9W0RRMvlcWuiYvGif7LdFigRqZePNfUb4RVwBQ2cPHKIoCERT8hIdnKypjKXGOxkiYKIkO+q7aA8x0p7KEh6ilVbtc4boDTHpolsvluttbG6pa94iH4g9vl8mA0hHtlwFE+aoh0UpFiOmstlgOVBWfYWPlXbRUeXB4vNqCEmRRk29W+HVUkAfPidk+QlG6isqiU72aHKAPLTLDQWzaGpys3Mkthoswx9pEycq2iT7LFd0+bRbK8mBkqrDS5PgF6/n4SEBF74y9+5aPm1NHUGYkpCK+QYtrz2MgVTFwCo+m7hhgFaSYQclROJsDU1dbyw5zhXTxxKQkLs0CIva9f2EVLZ2xh0kzn13ZDI5OtuY/dfH+XUhhdpmHIlqyZHo9riuuw62a4hxY+tmqRZmZKj4HLlQf1E0NXTy9+ffYJBgwZRV1d33v1afd0ukm02bMl29TzjWbHJVoguybEi3krSzBIH07KzCfZ2MTh7sEr071wwjNV766lr9/HttUfU8vFuYiVI4t0hP/fvVrvPasMoQ5ZoyJNiGWJiLwdZ4p2PILTi3Bu6vX0FhbQrmbK9nSzLEJ8JpyF5tVAcW5aeDS4o5J57H+CR3z7OF794C8ZEC0MK8pk8ZSpz5i0g0znggfyfgJUrV1JVVcWVV16pWsF+GBggxp9iuFwu1q1bx6xZs1i3bh15g/PxpGfR3ONXnRMgVq8qQ5+FLnyEc/OHUJSZDCTT6jeSnVcYN8FMXcbu24eIXh7pbsBoTIg5Vn+6W0B9+TlsZu5aWKqRVGytcmsSTfQQS3syUa9t86jazY3VLerSnEwQats8qiyhoduruEro+kqOOLs9AYqLS5hqcrMvyYqvu5PPXlACF3yJ5/7yDKVZV7J54wYumL2QQKCXrH5eyA6bmdW7a9RBTNiIiWhePLsvfd/LemtBEBu6vSwflafxlBWYWeJQI+9rDjdwpscHheXsPVFDWV4m2KJaXplsTi2OOjuUFzjU6Nh7+yrITnfwz/d2cvGyq9m5bQvF42ephU7E9UwyafcB0ezzUDDAgQ2vcOHcRVjbT3I0oY3MtFSVFM8sccS9Z8T9Js5ZDJ6aSFaKjUaXVnPe5e7gcFsDNXWnSc/Koe5YBy0p+VRtfpnMuRfR3tbDQV83u84oIc9Qr5+Trz5B8rQV1KRZKJIsDrOTLeoyOsSvfgexkUP59/K1lJ/DU6fPkJBgYvfGN5h20XLGzr9MJYJTCtM05NgX7HNycF3MmQPbeSzdxq3Th5BkilM5UncPibLcAKlDJ7Bp10Gqz7Tx5RlDcBQWqb+JF+UT5Fhss6u2IyrB6dP6ClvDry2bw02v/4PQ6cNEJl8R045XdkZ194+tinrVyscV+QNOmznGsUb0Z22bh3ffeZsTx4+TmKhEvz/3uc/FtP3fgdPpxO12s2ntX7nxJiVZUUzY1DL0fdATQYdNW8BjRXkuO+qVgj1EUpmc7CESiairHC6Pkjgp3Dn0zhtidWD17pp+HXneD2RSrC9tLQcO1hxu0FT2kx1e5PtZ3wdy+XRhFQlaHbJ4t+gnixBN/Ixag2otBd1eZbJw0ZU3Mmreco6dqiJ46hBVJ0/yj5deZPL02ay8doXGwnQAHz3eeecdtm3bRnn5h1vFcYAYf4qxdu1aXn75ZWZcOIuv3P4/TL1gGgdPd8VsJ6Jr4oXi8gQ0UQRZt+bue7G7+gY0DWm2mtUXkwy5sIQYiC0m49l9T6WoknihVvRFugWElZk8kOhdHOLtX4ac7SwnusnnFK99AoVOi2aw03+fZE9Vo2TXfuZ63J4AY8eNw+v1sHH96zx8UiEd2ZnRvtDrocW5y4ind+0PgqjKg1c8/9utVW7mFmfhsJo1/ZI3ZDiejjq62/fT05ZFtyUdg8GgRjfl+6O2zUNplp29Vac5fKSS66+9lhvHjqLTG6Rk5HiOHHiPnrCRpvpT9PrnkWhRiGR2soWG3RuZPPcS6lydJJjMPLahgqbqY4y/6HI+c0Eh4XApCQl9k6l3K1QnAzEoqglffddA1marLhmp0fZaLBZSE3tITlPkA96ebpIjfkKhEKmFpSwZP5iqqirWN4YZOvdyvrywlNW7a1j36t9JHT6JSCjE9u17sE26jN6afezsLqBw7lgMBgN5dqs6qMvL4gXpSUzLd2oGfEGg5b/lREkZDc0d7Ni2maHDSkmwWPjMyutxewMYjUY1grfmsDL5EeRYSBcKnRZ6Bg3heO0Z/i/Qy1dml2pkDQJTCtPYVat1xBCV9eyFo7ClWTheWYmnp4fExEQyBhVppRXxNL02sxplrGzpjvvs546fxZkNfyXHoPSXeBedqasmufMUPalDAG0pd3Fc+fmQ9y1HNsX5VNc3E3Hk0lR9iCWXLWPIkCExbfl3kJSUxLWf/TLPPfFblRiL92J/tofxCvncNr1IqiLootbdS6DTx6WZXQzKztC4uYjrI/TGEE2wSzL1X077bBD2i/IkWCalcm6CPNHTV/bTV7PUJ2Xq38kiD0VekSrqk9TJVUNFJVLRB3rPamec+xFgcFoqtW1pWEvHs3z2FE7W1LHp9X/yrW98jaWXLWP5ZUuwWM6+mjaADwdDhw6lt7f33Bv+mxggxp9iXHfddWA08dabr3PlVddQ3+E7Z3S4v9Ks6vc6/9Ykk5S8pnvRiW2be/yayEgoFMKYoI0Wg5QlrYtQyxIMPeTlsmn5TvWlCpKeUHoKZHshMSFYlRH1ydxV2xETkVg4IluNiujJuQyNFKWNmMQ3danfmY3bG+AvbXkYTrxJZNhcVt84iZo2Dxur42v4ZIh2iUITIqrv8ih9JHSigoQIiMFRr1+USfLtf1Oi8LlpyrmIoiquZOXf4/u2Yy920OjtVaPPeis8h9VMsLeXyfMuVTXVzuREOtPSmXbBBRRm2Hi3soxWby/H33mF9GHjOVh7khETpzN3WDqPPP4yCYUjCfT6yS0ZoeogE+LcM6BdnnZYzXGt+eIh0ZJEr9+velq0NZ2moCATo7OA5h5FojB8+HA2tNUAfpJMCsnNmLAQf0cTrd0BkkYoJbwtxRMJe9xsf+t1ps2/iB31Lurafcwsid4rkUikr59dqvZ9Wr5TI2up7+wm0HqaLquZlOwCTXs3bdzAsFHjmDr9QoYNjmbYCzmE02bWTH5kcgx9frDA/ooDnIzAY9uquXVGsYYci2dXcU1QNM16QlXf4WfBNRfR6XZjt5oxJprVKnTx/JqFL7WIDIJkuRXo4eu3fYnf/eEJvnPlHP5nw1+pfeMp9g1KwGJJouLIMd55/R84bXn0pA5RS6b3p0PVO7+I94480RxdPok3nvg1Dz/6O5z2/leZzoZt27bhdDrjJgXtem8/a//+LJMuXKi+j85WyjkexOqXsFcU90trxMrbB09SHW5TXTpEgmKty69KKgrSk9TCMHofbRmi3Lpez1/ZpJUgyVFh8V4TBWnibSNDlgiJhEwBuV1C4y6PQXl2q/q+lVd+KurcMZNGeRIm9hFr+6hE2fNS7VQ3KhrWoUUFZN74RRpP1/H6mud5/fV1LLnqeq5cPCdunw3g/GLz5s3q/19zzTVcf/31PPjggyQnJ8dsO3v27JjP/hUMEONPMUwmEzesvI76ulqOHD5Ecfk0VTcpXhRi+bEIW1+511g5hHhp+oJRaYX8Ii3MsKlROwF91FjYiCWZoMPjj5mRx4tcxUvgkq3OBCEQxO6FikZum16kRg7FtjH71b00ZYgXu1zWWs7Abu7xayQYtS4/eXbFs1hOZBQDtBgU5f5xewN89YX9tJw4CsPm8uWLh6qJfQJCKhHP0kj2BBaV8uT2ie3kga2/xEW5StZNz1aQm2ajscNDY0e0gIKwQGvu8TN8/HT2vfMGB44co3zZjZqorGhzyNtJ2N2Cmwg59ii5i+op3Uwt7Ss4Me5znGrpxjCmFIPBQIO7lwWXrWDHyTp2rnmOiz7zOXVwFyRPH6GWLc7ke0WWm4h7TzMxspkJh0I4+ghlQ1s7+SVlNPTpFtcebNZ46MoesR2kkNAXsF9z6zSWP7YDo81BZPB0Xn7+OTKnXELrrtfYyhI8DScZnO3AV7WXzkGTqWxyc6i7g8KCwfztvU3kjJrCpldeYdq8i/FX7mHo1JmYk2xse/s1Ll26DACPp4dRo0aTkemkyxfSaIlLc2xqdE/IHjZWt7DmcIPGvxii5LiyrpHtG97EYFRs3OI9f4C6euCwmhmf41STvW59voLezlauG+zj4ksuVbdXS5pL5EZoR3NSzTF2iJs3bSQcDrP6iT/S1tpK3uDBLFt+JS+++DytzU2Ew2EAzhQuZvud8zWRaUHExaS5KMPGm6+txThzFpu3vMOoqXNoOl1LBGg4VcfkiVNJMxs4VHOQ4mFlvPTCX/5lGcWMGTNoaWlh48aNHD5yjOGlZUydNp21L/+DDW+9yRdv+RKZQ0ZpCpCcCwXpSar/upCAiPeILBswdHZhIqQ61ojrs6wsh31NLnXiu3p3DXl2a58ULNbZJh7EPSCPAfJ7SWji9RIQ0U559UPWzut93cV7sqLOTXNtbHJ0YYYtJmFP9MG5quK544xxAuK8jpyoxNS3WiXu1dzBBdz0lW9x/MgB/vHsnzD4u7hi+dKzHmsA/z7mzp0b89mSJUtiPjMYDIQkC8R/BwPEeABMvWA6z//1WTK27cTv8zJ10ngmTp9DSkqq5gWo9/gVL0kxqOqjCsJo3mEzqy4C4jdyclZ2skXjm9ne2UMYU8z++hucayW7LQFZuzYt30ldu0L8Ht1eoy6xuz0B9aUYdxmxGnXg0Hjc0r/VlrwvOYmlv4iMgN7LtqWlG4wJGgkFRF/+ooiInGSiJNtFfZH1yTpOm5mXjzXFLRGsx23Ti9RIjOjzny8dybfXHlGjxYIgiz4F5VoWlI0jkJxJU9Ux0gcXYe4bYPY1uZiaY+OtTW8xf/FlGAwGXJ6AxtpOhhjghmTZNTIegCR7Cim5BRiNCdGom25CBtFl3qVjslUtpehHOcE0HsR3oVAIX3cnidbkGD2wIMVC0y4mDKBE1cWy9b2XjlRJY9ZU5aWeXj4XS9MhcoeOYEp+GkkTx+Dt6WZHlQlr2ggikQjWtCwSzBYKpyzEYkvGMn42/kQr/jBkl47jSOUJbCaoPHKQ5csvp8unDAwiYRai99bUYoem+AMQ13lg+ag81gAWu5PNr62h1rVYraamL9Yg/79eBpCYmsnWQJAJzU0UZueoBLUwQ0w6oxKXmjYPOalKZHLhiGzWvlfFhq2V7HxnC2PLx7Hvvffo7u5i5KjR/HPNi3S0tTJoUB5n/Al05U5g6/cXA7GRYrmNqVYTo0YMZ3BOBmWjFUlLU0M9YyZewIKsHPZtepnMhVeSV1CMz9PDlnfeoLCwkAULFvB+4PP52FtxiJ5ORed/6NAhtm7dSnpGBvv37+VPf3iMJKuV0MybeexkIpyMJcUzSxzqO0Ve6q+RJnjxIEdipwwrJOl0C4d7Eqh1+VWpgNifXOAmniNP3HPrp2qgkGvJWn2h2ZXf7/J7SQ4qiO/FJF5Avn8FgS7LTqLL24s9MUEbSNBL9mxmiogtZqS3edRrjUX72rt8jB05Om4lNYfVzIILL2DMsCJ+/MO7SElJYeH8gcjxhwkx+f0oMUCMB8C8ORfiTE2ms7OTxMREdry7i1fu/BbzF13K0ElzSUy0xBSPkF+U8czg9Uuv8md66KUHgV4/liRbTAa9/vd68/Z4pWjFYCBnZwufzvcDWZMp/EP7Q38Vqxq6veyqVf5fDCSCKIuodLnNoSYg3f3sdgyNh8maNI9Hri5XBxh5aVL8Xi6HKkN2oRBLlOcixaJYilxc4vEdNTHSCgE5evz3PR7VEWC4o4eLR+SQZ43Q6e2h/uh+TOZEkpJT2HW0iSuuuBqDwRBjBQbRiLYsedH7ajusZv66vQJn4XBNe/qzb8tOtsQQwuxki2ZgFPdOJBLheHUN2bl5SmQzwUBzcxNjEzvpGVOuRuTlSVKh06Kx1ANYfeMkDVGfWuzg0e3ado3PSWB/xUHGT5pEe8gA3V4ggWunjVGfCXkyqrfNw2zDmphAKORlyrwlNHQGgOj1lvsTovZ3pVn2mIme3IduUEttD5p7EYeOHOJ/n2/nviunxcigZLg8gRhten1rF09uqmCCM4wps4S0jCyNV7B8D7xb7WZyUQqv/HMtL734NzJz8pg+bTozZs7if79xOwBHDh8CFO/S7919j9qWeAl+Bw8dZuPLf2FIUQETJk3m509t4MiRw/z64UeZNEqpUjmuMBp5Kh18E25vgPSUIaSlJJHpTOWPf/oT/oiZSxeefYn23T37+L9HHmJQXh5Z2dkcOlDBqDFjmbdgIRveWs/Fl1zK5Veu4BtrjmAwJcbdx50LhmkIJMRKCWraPKp2uD8/9e1NPgqNASARMFDT5okpWS5DlkDEkzoI2zMhj5MRz9IP0Ojf9ccW7zHZux2UezU90sOputN4XM3kDxvDu++8xbduu4WWlhY2b91LfkEh72x6mwsuXqEeT5+3AfGlNHE/s2pzP3bVdtB8uoaO5kZuWL5Ym7ArRZmTUjP40tfv4PHf/JJjRw6yfPnyuEv7Azi/qK2tpaCgAIOuAFNvby8NDQ3nLR9ggBgPAIPBwMSJE9W/Z8yYQW1tLU898ywb33qTi668gZIR5arVmqzNFWS1v0pJ8T7zBaNLYfESxJKMQUyJiTG/kfenRp51y2Iy5AiWTKyE44Io/AHRyLBwewBtwsiaww2Mz3GqS9GCHO1rcqnFQORiDIq/bSyJFgOfSESUE8MAHtlUBd2tZE2ax72XjtREUeTBRl1mlIiPPkIsZC8uTyCmdDZEo1P66I04D7WqmQ4iCur2Brj/rRM0dniIhAIYanaAv4fjxTPoONzF1xeNJTMYZHHZINIzMmNK7gqI4y287031s799c67u3KNaTLc3QEJiEoZgkDy7NcZOSm9hJwZhca/l2a1xy2P7gnCy0cWpk8fJtoZ591gj7e3tzJo1i+kzZirnLOkxxb3x9z1nYvpIb4kGaLy2I5EI+1sNBEcsYGe9D/CpS+XiOKDct4VSQS49mR2clkJzT2KMdZvsuSzOVUyw5IIgosiDHDUWz5JwYbmrxY3JYuM7T69n9IjhrJpcFONGI+7jZWU5aju3Vrkx29M4EYHjbSH+dFEx9z/4OJ+58bPRct99cHkC9HS5+cYdD2BNTOBnP3mA/PyoReJTTz3F0aNH6enp4aWXXqLhzBkikQid3qBGu9zR7Wfrtq0cPbCPE0cPcvmKz+DrdrN54wYG5xeQnZPDn59YzcKrFYlEf/kAw4oKSLdbIdHKX59+gu72Rq6++uoYu8ma+kZOnjjOM08/yZduu53xE5T36Le+/lWKiwo5VnmcYcNLufyKq/nmKyc1pFgU3ZD7UC8nEOivZLwsKVAT6AwGImYrw1PgeFfsPfN+IRNl8a4TsgyIkmBxfPEePFvl0HgrZ4IoV2zfwKUL5zNp9HAMSRNxWM0UF66i1e3h0MEDTJ0xF4CJ85cTCoW0+Rk6aY7eu1ggni8/RKPHoVCIro42bli++KxtBigcUsJ9P/k56159hbvuupvRY8YypKgg7rYDOD8oLi6msbGRrKwszedHjhxh9uzZuN3xgzgfFAPEeABxUVhYyJ3f+y5vvPEGf33+GSzWl1i0cAEz5i2O2VYM4kmSxlO8gOJBEOqGbi+lWfYY8tzb20uOI5lOb1AT6TubHlh8L0Of/T4t38m0fDS60FqXn7sWlsaNgO1rcmkisiJJMF4CongRy4OCnOktR5P15YVlRCIRiIS5atIgNaIifisGR2GnJyD7dOoTafRRYqEH1hNlMcjEc0oAZRCXz1vYwikSCgd/291AxtjpXDByMK/srKe1C+7++0FA8V+WC4uI/hL/RkvbRnH1rzbG9E1GZgp7fzgftzeAxe6geusrbLM7VEcJ/b2xtcrNnQuyYrSIIoIvor9Om5ldxxvJTkvh1Zee5/Jrb6Q0x8bw4cNpaWnBYDCo96yIAuekau3jmls93HuVUhhn4YjsuBPFpWOyaej2Ejh9kuMeI6eqq3CUTla/F4lRoJBovQVbeYEjLkGSJzPCXUGO/BVl2CjNUf4TfSTun/7IsYz7rpzGj9buI+j3UnHwED9q7OBHS8drthHe0KBMCsoLHKyaHK1CaTAm8PnnDzNo+Ex8Xg+gSKuSUgVB8XBk71EMBiP333dvTCLljTfeyKWXXorL3UVNjXLvfvmLNzNs5FjKxoxnZFkpx9vbePG5pwlFIoybPJ1rPnMDhXnZmuvw0CO/0Uy6hbxDJsjiPIoLBnGyJ4FLv/BtNrzwe7bvO8K93/8Wdrsywdq+fTuPPfYYJcPKuHjxpUybMhFfUFn6bWlp5t3de6g6cZyp06bzf795CP+ZTgw2JzNHD2XxRYo8Q+/WAfHfabIUQn6+RZKZeLeI6xmyOCg2dnC8S/ueEVIsURRIllLI5czPBXEf9heFluGwmXF6+5yKdLaRTpuZI+/toKBoCMax5Rw5dpx0k5/xUy/UkNechRcp/eAJsP/drUyYMB5nprZYjd732WE14/f76fKFNAVa5Kg7aFdVDAaYMjw6ITvXeYGTaz9zPcsuv5KNb68n2HtumdoAPjjmzZunFtu54oorVCtFgaqqKkpKSs7b8QaI8QDOikWLFjF//nw2bHqH5/7yDGGDieKhpeTlZOB0OqOFADyBmOXqDwKZSCjZ+coLWh4E9Ml2YlDTZ5qLbTS2aVJkReiLH9lWDSgkQY5ci2VkUAi1+FsQqimFaZqXu6ieJeyW9NXmIGqfJn5X0+ah3OZQoxeFGUo7Wk5VQ0KU5Ih29VcdSngRu3XtiSebuG16UVw7qCmFadS0edSKgPLvZD22aLtohzyIBhuPgzGBafmjWTUhn9v/VqFKK0R53uxMG/deqkSbNQULPAEqjrcCMG96cUz7ACqOt9LW2kXh7Wuo/PVy7lpYyvTtNRzecYrX9jRSPjxTLeRx+4xitcDL/W+d4M4Fw+KS44ZuL7WH9jBx6BBOVR5h8oULWLbiegozBIE0YDAl4ff3xKxYQLRAwit956k4NfTv29vQ0EBhQi8nIhFWXjgBLpyg9oFcgKau3af2rWyVKP7W69EFxL2iJzfCO1aGyNyXfy/IcbxVnp9ePp7Hd6Rx6Ohx5XpI7iv6SWVlk0fNKRCuJSLJ7OTxk/zR1cZDQ6LV6JJMSoLgmWw7DRmpcd1Fxo4dy6uvvqr5zOPpoWLPDrq7Oln30rOAgWuu/QwXLZhLbzi2rO/mrTs4eOAAX/3efVj7ro/oSzWSGKdCmt2ZzuLPfZMNL/+FL93+dSbOXcK04bk89vjjfPnr36Z46HDNpN1oNJKWlsaECZMYVlJMfn4+TqeTi4Dm5maqqqq47647uOkr/8uosqgcKOh1Ew6HcSSnqZ/J1x2i2lv9BEmsUqnXPsEEgQgmwn3k16Vuqy9q1J+sRoYg3MICTdy34rkanplMW6cn7vslHsRkrrv1DOMnTsYbNpJpDZGZk6cGH9RiPDr98M3XXc5fnnmaS6+4lnffeYvs2XMJdHdwquokgwdlcfjgQWyOdDJGlXGqpYWkJCvVtfUML59MT0BZgo8nectOtuDp6aaj5QyOcWM097V+PJHblGSCpBQrc2dfyPr169/X+Q/gg0Ek4G3atInp06erk1NQVryvuuoqVqxYcd6ON0CMB3BOmEwmLlowl+ycXP7yzGpefO5pAoEAf3jiaRQdW3RpH6JENd5ysoA8+FY2RZffIpEI/s5ekhKVl7+8j/6It6wTi/edII5yZMVhU7K0Xz7WpNlW7EMMFhurWxif49QMHvGiJPoBTJyfiBoLkisPaHKVL9WD05pOZlp0NiwGIqfNrNHsiXOIlwy1r8mlktuZJY6YCmsiii18iQUpliFkJnOLs9Trqo8yR0JBGt1+vPtfxzruYnLTbGobH7m6XEOOQYmqxosEC2RkprCiPJeGbq+m8lVpjo2bnq1gQ6visV36jTXqb6xn3sWbO0X5ro8YO2xmbp9RrEZfN1a3qH0gVgCCvX4Ob3md669ZSXpKEmNGjtCUmRYkJzXZwpnO9pi2iu9XTS7it6+fVD/vz3sVlEji+IIUSgqnA6gRtNIcG7dMK6KpM6BaaYn2ytEtsSohD+oi4UkuW92fThTQRIWnFjtYe7BZs2S+9mCzmqgoIPrklmlFPA5sfm0NLwJFGaNjV2n6Eq/0LjSiOp4tbxg1R3dy3aMhLGmK7OLJleX4gtDp7uxXp3nnnXdy+PBhGhsbsVqtOBwO0tLSyMnJwWRSGhiJRFTtYZKOF+/c9R5/+v1jfON/v4O1rxCNeDdU1LlV20CRkCuX7VbeG7DwylUcPFxBzXubqT/Uyy1fuo3xY7V2bG5PgKa6k3h9PqZNnUR6ejpGozHmvDZv3szqx37NZ66/keKSoZw8eZxnn15NOBRizrwFzLt4Gba+38jSKLWfpQi9Xr4gpDRBo5PS5A66zdqiFPqKls09/ph3hPy33lZStKnuTAspZjMH9mynZP5CXvrbc4yfMIFBWRkkJiaSYEvFGurB7TFTdWgvY8rHE/J3AtF9tzefJjE1ncREE06bUTPJ16+syRPOK666mqQkM6NGjcHn89HeVM/8uYpVnz3ZTltbG4cOHqRs0iyctkRCBjNOm4UNL/yFa66+Cqu3A0tGgcZjvjDDRjCYTHdu3/1hiyXl/eUxDODDxQ9/+EMAnnjiCb773e+SkZFxjl/8exi4zAN43xg3ZgTjfvIAL61Zy1+eWc3Pf3IfpWMnM2KKNiv3XA4MECUWgngKREJBrEkW1clC3laOwApyKqJWYqlb6EvvWlgal5zoX/CgkAu5ZKjYr9BtCm2d0OPKSSMiC1s9976Xpy8Y2w/9ae8EifjbrtMYqt8hb+Q1MQMVxJaiBjQSBZnczixxqFnnYl96SyQB+XeCUCtFA1AJgmzn1tjhIRIJ01u9F1PWEIrnXoHBYFBlGkLCMmVoOnVpUW23iArHQ0ZmCo+tmqSSEVkj6AsqxMq9dCSLf71F87sf3/I17rj75wRSCij9n38wb0aJGjkWiWBbq9ysKNcO9Ke7IpReMJff7TpNY4eHNbdOi9uusDERj08xlHd7Aqou1u1RSKxwodC7h+gH0NbWVioqKrj00ktxqqRT+a1IMhXXsq7dR6EzSm5lqYTsoy2g1+nLz5O+LK9eMrF0TDbvVisTH70EQ6CpM6BWgrxlWhE1HRfT3Xyalw7U8tkLhqrfgXL/l+YoibOtLc1kZmWrk9u7p9ro7e3lp5Ep+Jpq6K45hL1oNDc9W8Fj15Rz+nS9Rlcsw2g0MmbMGMaMGRP3eyAmIQcUsvzgI7/l0IF9fPmrX6NsxAhAG+UWk1URNRb3vPyuENegdM4MmDMDgFSjn3173yMlJZWSoUN5d+d2Xn3lFRob6vnKl79MUVERbW1tpKWlocfs2bOx2WysefmfPPeXZ8gdNIgv3/Y18vIG88Jzf+HHd36TxUuvoLB0LB3dXgJdbbS1KJP4nOKRDC8ZouYoyBIL+VkfnpnGmeYzdJtSGJ+bFrdEM6BORPtzvRAWbKI/Ol3tvPbKFkaWlpGblcawkeWc7PBx0fJrMYW8pCUnsXfPuyyYO5sNG7Ywauo8wgkWml1ddJ6pIq90PACvv/QsV117A+kpUa9ovVNEjMuI/H2PB6zpGBLNTJl6gXpNj1SeYPTY8QwpHa1ua88chMlk4vM3f46uzk7M5kRs4R4KC7JwewJ0tLfjdvfyytp/cvWKa+P2g0B/SeT+8+MUNoCzoLq6+iM5zgAxHsAHxrKll1A+ZiRnmtv4v988jHPQEHLzlcE2nhl8POidFMRL2RDwYAhGiPT579ZKSUOgtf6BKAGRPWRB0TYWpCdx3+JSVRsqIm/6aFaty8996ytVMiiS8OTl5ni+nTJ5VbOV4xRDEBG5fX3+t2KQFfZB4vxazrSQNW0JK8pzNYOyyAbXS0lkecO5lkLF/vS2dPLf8aybnDZzTKQ4JzWRtvfexDBsDlOGpjMt36ktH26LLVYgHC8YnknF8Va+fPFQzfd627v+dNhCxytj8fgcNvkK6anez6aNXdyKQqTlUrjy5OeFikY2bj5Movsk/kxlf6XfUCQaeihkK6K5Z8T5CaKfnWnjkavL4ybzJZkUG69wOMzYqbPVVY+c1CiBVPcrnW9U4+1Wk/LikeI8u1VNsJRXI+TKeLJUBhRyLK71srIcphY7eLfardm33tNZJpJ3X1TGN39/lOqWLvU7MRmqbfPgaT5FWmoyJw/tpzsnh2abja3bd3LDyusAmLvjeT77P58lEolw83OHVPuw45XHmH7BDTHX4N/Bq+ve5OSJY/y/Xz6I1SYV9JHlV9ZoUqfQzvdXnlhco9aGGr73s/sZnF9AW1srfp+f5ORkrrrmOqZPnaT6sJ8tsjV58mQmT54c8/k3/udrnDhxgieeeoZ1r6zBYDBSkD+YvEG5hEIhXvj9qzic6YyfMoMhoycxOCcTQF0xENf+eGsPNpudroA/RoOs/3/xbgLtsyhIMygrHtvefo2i8TOYOOdizvT4EK+MvL5JiT0llQAwZsqFNPWEWXzJEtyeAJmFwwkCDadPM2zYcHZs38qKz6yi0xckvf/Lp3pci/MT6I/El2bZSXDk0uIzEEzou3el57LTGwSzjSHFDta+/A8mT7mAvXv3MHx4Ge5wIiuvv/EsremfFA/gk4UBYjyAD4yEhASGDh3Kxo0bGTRoEHMnjcAbjI3WvF/IL2VDKAjGqJ2PDH20V7gR6EmxQF27j5uerVCXavWJc+UFjriEcldthyaCHC9yBNGKTTKh0Sceur2BPgN9r+b3etL3yKYqDE1HYJA221YfjRbWVGKQ0PeTkG7ISTYi4qOHXHUtz25VyZgg5k6bWVOAQJSVjYTDJBeMYOGkQZrJQXOPX9Ep7/XHHENEnAvSk1jRR25FkZGGbm+/UXi5YIsgLRAt4ex2u3HPX8rC9ExeqBjGhq3H2fm3Zyh9p5JDv1xOoMfNO/uaeWddPfelFmFr2IY3dwpJrQfwDpoa0ycyxLFbu3qxJPaSlpyo3j96UqxPKNIPoNv2HGD6TMXyK14hkrMNuHXtPlUPL1DotKh9HzNxspo1SY6izeNznKp0SCRevXysiX1NLm6ZVqQ+C0JOIZLjmjq1UbwkE6QVlXH6vU2szk1j+ag8TTWxQKKDjAwHZWVltLa2MnbsWIaPHKv+9uabb1b3JQrItLa20tLcFLdS3L+K6upqnn/uWe78wT1YbdElejfRyWW8Ig8QtRiTn1VZJvP8hg1cfPHFXHfddYTDYWpqahg8eHBMUtC/imHDhnHfPT+M+90twSD79u3jlTfe5s21f2fUqNEUjJqEY8goTGbl+OJa5llTKUlwczTOhCozyUSo3UX2oHwau7xkJJlIT0zm8P7dpBYM59ipauaWj6G68jAJCSbqmlsYMvFCEi1J/Sbp6Z8Dvf587sWXkZCQwJx5C+jo56aX7994cNrM6kqhnIQMcKTRzetvrGPkhReTaLUxryT6Hpc1y25PgKXLLgfgkkHaIh395QjEgxwEssQvvDmA/0IMEOMB/MsIhiMkJSXx5ltvEzKYePloB4aUTJ66dd45fysSl2QsHZNNfX0vtpQ0ttX1qJ+LpCa5Oh7EEmK5Spv8vfj350tHqi9GMRDKrhNCrwnRF64cgZFLljptZjWZzu0NxERx5cid2xtQNcp6H2IZkeQsMBg05FsdlD2xBRv05VZFNF38f3+D1/gcZ4zrxI56V8x2eumH+M3MYWm81VLLOyddXDiUuLIPEQXUQ7HKa2RFea6qnxboTyqiLxYg27O5ur2MSTfiT7b0kfDhbNhuwtTdwLgvP44x5MdgyyFiTAAieAZNU5IEr7xW1b1WHG/l5NH6uO11ewL0hAx0dvUwrtBJbZtHI+dYc+s0TdRfXAOHNVpVcf/Bo+QXFKqD/a7aqHYVtJpxIf8QEwqRjCfsBaflOzVFRsbnOHF7A/36a88tzoqxfAPUKPHLx5oUZ5Z1lar2VH/fCJmHyxPg3Wol6c5gNJI1YqJmOxF13bDun6RccwORlEFkOvLP6XkO8OabbzJ16lSNe8C/g0AgwEMPP8zyqz6DIzNPnUzG8+IVbZcjrvEKloh3R6fbzYG9u/nWt74JKDKP4uL4SaMfBkwmkxpt7u7uZsvWHbzyxlu4//EXiqYtJL98Osa+BMYGbxCf38Npr5HBTivdHW0kJlnZsP1thoy7gKbqkzjdPjoa6zAlJpGfmcGg7FwCBiNdbS1UtHZxprmDvOGjSbZnk2jRPtei5DREE/FEIqB4z8rPRndvGIc1gXBCEi5Pn/zG2r8uX0BcD301UhHAEMdp8vYyftGVnNyzlbzSMfz2qTcZMWMhDccPMbhsrGbFLl5ynyZnw9N/u8SKSryk3AH892Pgcg7gX8bnblrFG2+8QeWJY+zYtlX9fOWZozz7oy8D/UdzY+Fm6Zhs/H4/ubkWFo6IJqvIL53+SHE8IvbkynLNdt9ee0T14JVfsPoiGXKSnjw4yokaEOuYIQYIOWlHX/Ep5qxFudE0G82RsEYnKYiGXKxDwGkzx3h1ymWw9bZxov3yOW2tcqsETE7Wi6c1XVGeq5JnY4IJa24JrbteZathCbdN1+oT9TZQYr/9FQoREwy9Z3M8TfbkohTWb9hM4eBcqpq7Sc0uZMP6zVy0/Fq1f2eWjOfve3LU31w1aVCMK4PAY9eUM/3+t9W/49kBRhLMGMKKTOD2v0Xvp+13zkcPOXorBmtvKJVBpmRcPVpCLB8DlAF41YR89T6T79H71ivEVZFFWNQIu9Nmjlu1UWhGK1u6NfuRJxVTix1MLXZw1zpFly+umT45C5QESKFFBkXD/4UfP8SQrIs1xKEww8ZNn/s8R09UMWiw4ukqJ5nGg9fr5Y033uCee+7pd5sPir+9+A+cznQuWbwo+ky19b+9LLXqzzbN7QkQDAb59S9/ztQLplFWVnbe2vuvwm63c8nFC7nk4oUcP36cn//mMU7v3864Cy/CUjSaBLMZT0Iy9p4mduyvoqQon1z7YMJjp9DUa4LBY0h1WkjNUqROg/omuWZgxozZNHR7CWYpziKCVMZbZZOf1XjuOUBMmWgBfQEfUFbzhIytvMChsd2M50+sTP6kfUwuYv3RZnJss7HaLLQmWenuaKWBTPW9rJJjKbKtr+aor9gqQ+/jP4APH+3t7fzqV79i//799PT0xHz/9ttvx/nVB8cAMR7Av4zExESWLl3Kvn372LFtK5Y5NxM49BbBwxu44ZeZJAz6YAPHTc9W8P1JFkwmk3pjvh9i/dg15RryLOQMoNhFOaxRzesj26q5a2Hp+26TTIbjLqvqHDHE5zKxlF/EAno9asPpBgj5uffSkTEFKfQV7EAbndFHkjWFTZwWNla3qOS4P8hlYuMRI3l/eXYr14y38qxHSUJ6+ViT5jcyKZZ1jLdNL1ILP8j9oy8wEu9zgMwkE396YjUXTJ9BXmEJ+49voWS4jeVXriDRop0MnI0Mw7kjPJolYKMJQyjY74Avt13cB0L2EQ6H2fX2K8y+7Fp1G71m0uUJqHrjeCsJq3fXqP3u9gYoL3BEk92k7WUnD9m94lxLw6Lcs9Ae91cmWL7/1h9tZsiMSzBbYu+VVKuJ3rZaGKwtdqD2qS67f/369ZSWllJYWNhvGz8I6uvref21V7jzBz/m3Z3baWluZtLkqZQX5AFa2YTeDg+iJFj/bDtsZt7bf5Du7m5u/txN56Wt5xPDhw/n8Qf/Hzt37uT5l9bS9MZL5I2ewuBx08hOsZA6ay6DU5WAw+E4K0TiWRUrQPpVJP2ETkSLZeef/nTw8nsKFCJbbnOojiBihUWWi8kQiYbqhFk3yYlXqEWJJmfj9gQYOcjJY395jrJp8zWl4M8lmejvPSFWPmRyPJB89+Fj5cqVVFVVceWVV2K1xq5Uni8MEOMB/NsoKSkhKyeXWVndTPzhPdz3yl4wRSO4euKqh1x2eFuNi7IyuGtd5VnLF/e376bOQEwRCbc3wM+XjuTba49Q1+7jvvWVKjmWS+7KEFFjQS6EPrk/baK6LCd7iaLIQORob7xoVHayBUNSCqT1T+SaGup4bNsesssmkpBoYVq+kx31Ls1AJvYljiVbzMm649V7FdmAIMOyHlmG8rkbb3MtDd0ODfk93dlDYssxvN7B1FHAsrIc1QdZQCTl6dsI0Wi1vlpbfyRZRFCnDfssGzZvZejQYcyedaHyZR+5cXmiEc3lo/I0x9PbsMmQZRTyQCeuW5o9mVPNzXQF40g9PFEZgygzLf7Os1upbWtn6NzLNEVlZIiEz7UHm1k4IjvG9k+GkBRBdMWjtp+EJIc1au8nR8WSzmKhKORNtS5/3IIf8nOyo97FyY3/oGD5NWo/iOMYDAZCoRDDspI40aI8w8LyD5Ty56D0c3NDLS+//DLf/OY3+23XB8Xmd7aRkurgoV/9PxxOJ4Nyc7jnB2soLCpi8pSpbNn+LsaEBObPW8DsC6erv4un53fYzITDYbZvfYdXX32FhvpaFi5aHFMB7z8FBoOBadOmMW3aNKV66d/+yc6nHqRk6FBClhROZw5mxIgxCJtNcf8BGomODDEp0zt1rDncwNziLI3nsPxbUUYatIlzsn95UYaNNYcb1PdUvGdkR72LQqelb6Ib3Y98P8ol5OM9G+FQiJT0qN5YEyXuu3cLM2zkpJqpbNLqm/XWhfp3SH8R5QGcf7zzzjts27aN8vLyc2/8b2CAGA/g30ZqaiqXLVvOW29tYN7i5dy1ZAKgHdz70xaC8FatYXuVC7c3FBMlVh0N+oG8xKvH+7GO68/RQR8hES4S/UGv8xQRxHiJJHJVPqfNTMuRvZAUJbJ5dqsaofT2dNPT0kQgbzwVG18jtXQyx4+dIOT3UOXIxGRP45pxg9R9ywOY3rxfTrITA97Zql1FwiECXW1Ut3TRuf9t0vMKaUlOwZGdx/R5F/H6W1tIyiqI64Uq9isnfcmIp02WIciwHPH0BWHK1At45qkn+eLnP0dTZ2yUanyOM24kSC4jLghi4e2KJ/LQEVGbMOFaIMi20ZSIKRzU+BWXD1ecAORr7rSZNaS4odvLezt3kFk6nkSbEv3XR9bldosMfNlPV5ZJ6IsK+ILaZWt5Eub2BjRL1zJx7W9wlyF0xyKarN+20GnBN3FOvxZpY8cqyXalOTYqm6KWYsIWrTTHxuGK93jkkUdYuXIlI0eOjNnPv4oVV11Bqt1GVlYWU6dOxWAw4Pf72fzOdg4c2M+F06ZiSzLzwl+fJBQKMn/ubO25S8v1wWCQRx95kOamJq69ZgWjRo3SFBf4T0ZhYSF3fvM2enu/SGVlJXV1dRw5coRX//gaAbOdtJLR7G3Ox+tqp7utkaDPS1pBCRnFI7FnKFIkMeGVIRdAklfC9M+crJ2XvbgF3N6AOkk/F4RzkCDIcjGo13YeIz0zm52Ha0jLylWfidNVlXi6O5WCK9mDMCUmsrXKzdYq7fgys8ShEHzpvSCSSYVVodsTiPHl149TqfiYfX4k8gPoB8OGDaO3t/dDP84AMR7Avw1Pb5gX//53rv6MYnUjkz75ZdkfOfb9f/bOO0zK6nz/n2k7ZcvM9sJ2YFna0rt0lCICir1gjcbYkhhN8lVjEkuMJtEkGks0RuxiQ7GCCorSBZa+lGV3YWH7zJaZ3Z32+2P2vHPed2YBFVt+e18XF7NT3nrec+7znPu5H1+oszUGvNTUhIiCXGBCQC45u2x7KDlOzkoWZFBeVutuGTna+915BzulZTdZiyYPClqdp1jGlyNlsk4zL9mmIu2J6Wk0Hari0RdWhKpWWRPR1e4mmDWEuCNfkNa7P76WMlJGzsLf3gbBIAZrHAazlfp1y3iFueh0Osblx2FoqiGtK7tfHtTkqKXsSCGQ6zCzr7qBwzV7SIuPo9zvp7nsALZeRRhMMZRMnwdAMBhg12cfcurpZ5FoCeIj5DoRbQITLakvJ8nCvH7pqve21ISj37Ivr9Ym7VBNAxvXreGSSy+n3Rfd11erZVRFgbvun7YtrrltmsqnWCB0f010SO+X9E3h/rn9Vbr0oekO1SBf6ewgGAxitMbSJytZib6K49CSXgHx3HSXTCegJbYiQi4TZfEcCqIdKmKhviZaNwbhaiLaiSDH2ijaopF5XPvxcgK9Qs+nXNhj7+bPGdS/SImqilLUFmNoErt2zRdsdNeyfPlybr755mN6E38dmEwm5s5VOw2YzWZOnT6FU6dPUd5LT0/n4YcfYcjwUbR5g6HzkJ7JQCDAI/98CI/bzb333K1YsP3YEBMTw6BBgzCZTJx22mkEg0Eue3gZtrZyDm9bj9WexOyxQ7BarWzbto21L/8LW/4gEgeMo6zcQ1t7J9WkKf2jtm2K/nFleUXEvgFFK6y12tSS4hvGhxMYZRIqNPAQeq4Wb6xg0cg81q5eSWpGNib3Ufql51G9vYJKZwOpWblsWvk+Y2cuwGg00e5uw2A00d5phSirkCGyHOqXRaVGAZcnRIgrPd4I+ZsMPUHyLO3wI5dTHDlyhCeeeIIPPviAL774Qnl/8+bNXHPNNWzdupWsrCz+8Ic/sGjRou/8+K666iouvvhiHnzwwajFgCZNmhTlV18dPcS4B98YrS0ttLiaGDxkeNSSzNokhe4ix6cXJUPveDbU6RSys7K8TiEVwvO13RdysBCDtVYKIcrVWowha6bj4XiRSzmTXaslFscoMDTdoSSOyNhS41SR1DXL3+TqyxcRCASoPFLH7WeO5eZX4kAHdLSBTk8wrT+paQlkFi9UfhcitGpSW5l+Dnv3lOHcuYZVzql0NB6l1WDB7WokNS/U0bubnRzeU4ovMZfObWvJHHwZOp1ORSq3fbKMAafMJNZh4KOjoUigvSvrW4506nQG+p9yKps/fJ2EzP6IunCiCEC0QgKi9Kx2OVYrv6h0dij+0dFcKiyGIAMHD1EmNrIUQxBq7YRHS4rF62iyArFduUiLdkA82uTG5fGqkgnFa1USaDDIr2YPo6goLEkQx1BW1xq1FG80siwmWYs3VkRIROTrLFYmhI5ZHLdLs+Qsno1oz6HT7e1KYnQq5/TE2golsVEk71mMkJjfD0+LK+L3ljgHeXnhc5ZJfPPRg3z81ksMGTmG22+/nd691X7W3yVKSkowmS3s2L2H/N6hyLjsVLBr5w6qKir461//8qMlxTKSk5NpaGggLS2N536+IOp3pkyZwmUtLdxwx70cev9p6kxGOto9JOcXkX725UD4OmgLyYj3RJuOtoImIOwHRfBDVdVP8/zKqxa3v19GpbODX977IPffegMvbDlMZWcWqz6v4va5Z1BZcZAOYwJzf/kzdDqdUvCpqjHkuS287QGl0qQMYU8pOxxpJ4VqBPnbzGxqa2t5afuP26/tmmuu4emnn8bhcGCzhYMLnZ2dzJs3j7lz57J48WI+/vhjrrjiCoYMGcKQIUO+02O88cYbATj99NMjPhMSrpOBHmLcg2+M1KQEUtPSKd28kckTJyjva5d+IboWSwzcQV8HVquVuYNCg6+wc9PqHQWpKUqPzHIWnZjIhJcjD7LOWD424acL6s5bqyuOJqOIRmREFLs7iULNgT0k9h3FX19bQYI+iN/nIz0nn2vnDiQrzhpRZU5AlAoWbgTCAzjXYSZ3zGA+MVlorz9MQp9hHG0PkBaXQGashSNt7dQc2E3eoBEc7TBSOGUBu79cQ3JGLwzBIK6AnvpDBykeP52cxASWlKoHArmstKwDHn7mBSqv42MRYrnghHitJcVaOLs0iC4pWnOktjHU+aWr78eM4rRu3Q+ilc0Gdfscd8/HvP+LiUqESPudA74ABl0QfzA0YZD9nbVYNCwky1jx1itkTr2Idl9kQRsBeVKmJcmCeMi/7S6SLHs8ixUT7aqNwxO67oIcA1GfIbnoSHdOIgCZ8SYOOUP3W77GwWCg298Ygl7iEuyMm3k2vfIiK8J914iNT6DDE5mMB7BxwzpGjx33P0GKAZKSkigrKyMtLe2Y34uPj+e/D/1J+dvj8XDr7+5i88dvs6H/1KjJufJz3508S0yKRaQ412FWJnrdJcGJlUGBXIeZA0ebSBw5m/tWHgDCjjrXvCKkDc1ApERDFMqRC9eIKpnh34Zw6QulyvfFc1SUbuP298tYNCybxZsPkWDwUWT10NHRQb9+/cit2w01x17p+SEjLS2NtWvXUlpayu9//3vl/VWrVtHU1MSDDz6IxWKhuLiYV155hRdffPE7J8aBQPd9y8lEDzHuwTeGTqfjnPPO58UXXqBk2Ej0en23HV20KJWILrd5OnA4HMr7stdxuy+0vCYGbVFGVwuRvSwgR6hln1j5+xDdYkhkSct/Q3SCDCgJKtESrURkZGV5HR2eVkxmK2n5RcrvAEZ22ZbJyJBKKlc1tjOvX2hQcrq9ivRADEKmhBSMsXZFJlFdtp3NzgbsaVmYY+M52mFUBrWhxVPZUuPk4NZ15AwYTnZxCcYYs4qUC99cAdnGTZyfuJY5SRZlUiFXy9JCJn9aezDxt3x9RZEFgZpGJ3ZHkvIZhAmk0IBr257WdUBcv9zkUClqCCXgCXmM3GaUSZveREIMNHWo70lOkoXbZxSxYnetct8Xbz4UOqd+43lxa/cDpTYpUZ58RLte0a6Z/DsITfLEaoVD015zk21KgqLsEAHq5zI9wUR6QqgNiWVm2fFCwJ6aydaNS3lmfSaXji7AbjPx4rOPcM1PfqL6nrzt4UMG89brS/jwtcWMvfWm7i7Ndwaz2UJHh3p53eX2YjUG2bh+HTf98pbv6chOPvR6PVarlba2tqjL0N3BarXyh9/+iht/+StS43qBY3DU1R+IbK/yRF7bt4nEPQhL07qraCeQYYth24Z38CTlkVQwAJM1tlvPdIF5/dLDk0XJ8ULuJ565sISymlAi9lt7ahTvcBFRnlBopyg9j6rGdv7ycRlFVg92MzTEJJGVlcUTays4Z3AmK2p2HPNYfsi46667ACgtVU8Sdu7cSd++fbFYwte5pKSE3bt3fyfH9eqrr3L22WcDsHjx4m6/p9PpuOSSY1cuPFH0EOMenBScMm4MLz7/HAf27WHE0K+eMWq3mWiu6VRVjpKjBYs3hqLGJ0KOoy1/a3H3ijJuGF+gkKYiDSnNS7ZF7UBFNTCXJxzxFElsWj2tiIjYbSbFlghArzfSeKSS5F75ClmOFpm7blxeRPW5R9ZUKIRVECKx77r1y0gbO08hyyOHj+LDZa8Sm5hMfHIq8RKZEp0/8cUcrhITiTBBEOQ6mm+pTPrFoCQIdFFqnKo8tGwvJ0eR5G2IayCwdGe1ilg7JWJXVJhPS4dfFTmNZtXUHeSJU2mVi813TlMS8OzWcERV9vsNeRkbscdATm4o6e66cXnKOVY2uBmVm8iGyvB5VTo7OPDpW0yZd46yHTlpSYaWOMgR9WjXS656J36vvVZaEuuKopGMlgcgY3SBnbf2hCaSW2qcUSc72cMnU9XsVcjv5FkLqGz0kGGPrAA385G1fPrkc5j0AWb128iBisMU5vWKuu/vCsFgUHkt27O9+PyzZOfk0r/o+5N6fBtITU2ltrb2KxFjCEWbB8w8j23vvURMUjiXoDu3FdH3ySsZwoFCfA7hvjqaM5DAjOJQFcayGjfbduxi6LARnDFtPOvXrcGWlYLbYMHmb2dAfgaVjR7l+dE6Ymgt+WTICdwi/+GRNeGVms8PuFhzYCu9Le0kGn2UeazY7SHpltBA/+uLCk7cCPTHg+bmZux2dR+bmJjI9u3bv5P933333cyfPx+TycSdd0avBgk9xLgHP0DodDqmTJ7E2tWfKsRYRO/k6kDH0hgHAgElYSearktIKgQZrmn2RljpgDqyG404CwhPY21lNbmMrtie9pi1iVbRIsRa7fKWGielH7/NgIkzyU20s6T0aLdL1eeUZETV2AoIEi4s0VrrqvF7WslJsij2RgADJ8+JcA4QxyoSHJWKdoV2JRIkSKwcwRGfCYIkPpMJr4j6HMvpQlwfoS2saHCHrM0kUjmlQB1hqm3r4Lnl63Akp7Hqo3cZPDWUXLVoZJ5qAqN1XBDR0+5s4LqDVvLjiLWREBMuBU0XMZaPcUZxGjOK03hy9W72rlupIsWiQt3VY/OUbQsdtbgG3V034SQilnZlshHtXASpF8+QTMajTTiO53F8+/tlStRYxtVj8/jNWy7KP38HZhXR0dHB7k2rGT5pFmU1bpVMwzbsZxjxYqMDf8DI3ho9t/3zv7z4l9u63fd3gbqjh2hqqMfv9wEmgsEgn678hE9Xfsxf/vKXqK4bP2bYbDY6OjpUfe2J4v8umMktVfs4umoJxlmXo+vm90JKBGrf7qU7q5VAgvzc5ibblOp3QjolqmIKPbzP52PTus8xxTro3W8QmzZvZe2GzWQOiiHg95Nm7KAtNY7Naz9n2NhQApbSro9R2AU0VoJdHuFOtzecTBwMsnpPJbnmDiraLWRkpmN3ffvOCCcCm8mI4zg5MjL8ePiqRx5Nt6vT6b4zWcOWLVuU1+Xl5d/JPnuIcQ9OGqZNm8btt9/Bi88/y3kXXAREVr3SZv6LJKBgMIg/GM6UlwmHXJlufXk4mnesUp0CxyLiAiKamRVnVdlKgTryJrbbnV5UkFGZEFc0uKmtDBGeo/t3M2jyHLLtcSrJAoRJqiAfwqVBJtznlGRERF0FCY6xxeEYeAqJARdN+vDsvld86NrLv5OX4bVkRyaQwUCAmPZmUmPMZDnilfdlvbDA8cimvKQqQ56ACG9mIKJctN/vx+/1cqTVzeCpc8mKsyrlYJVtdbUtYU2mJa1C+x2N0APMevAzHl80QhWBFm2srBPOH5VB6fs1qm3Ixyhsvq6fUsyaXqlsawjLc0T0t6wu1DZG5SYqhQbsNhN52CKWkaNFaJfurI4quZCPWW7/0TTwQFQLwePhkTUVbKmxq/T+Op2eGFs8T6ytYFqKl1GD+qgS863DrkdHAB0BzLgZdunV1DV4aPvwUer3bPvKx3CycfGiy3jrzTdY/9kKcvMLaayvw9vZya9+fRvJycnH38CPEImJiTQ2NpKSkvKVf/unX17DFTfdSsOWTxg+bU5E7oG2H5BLL8sQqzZOtxeHR13l0W5T/71lyxby8/Ox2lPJyg05VxzYUs3lV17NrqZQYx+Vm0gwGKQwP7ySI++nO8ikWKz+QLjyXp3LhcHdwKS8BIb1zSfTYVYixPP6pSvP7NxBaTQ1NbFixd7jXsMfG/R6fQQJDgaDGI3/u/Txf/fMevCdIyUlhd/fdS8P/fV+/v7gX5h7wVWYzWFdkhwF1tq4+bw+jEY1KRWwGMPZzltqnCoCIZOjEyHBoHYOEFnLgiwKCzaxD0E4BNnQJmkIQquFGCBq2zrY+OUGElLSCfi96A2GCFIMIa1uriP64CL2IzswiKQ78XdlbAKde5awz5VOwZAxtDmtVJOsRHnTrTHUeCJjBcJ/uN3dxtG2dqrrD+FISce3bxtDR0/ky7WraHE2kTX3bNXSvnYgjEbqop2LILyydCAv2aYkE4avhUcpaFG+fx/v/ecJZsyZT25BKBqlJa8i+hStYIuYSM0dlMb6cpfqPGrbOkhOicdZHxlZBqnUt96Izh/ablqKTbkGSoKmVLhl5/ateL0+5g8bESGdEPdwQ6X6PswoTuvyIY70yO2uAI2ArJ8U1wOik2ItoRclb48FETWuamxXfGBF1v6fzhhE3O/+yUdLlvLzYC+a1v6dCqcfp9urkOJ4XSPewolUvXSdMnHN/fBNiozOY+/4O8DE8WM5ZdwYKioqqKioIDU1lT59+qgkXf9rSE5OZt++fV+LGBuNRu65/Tf8/o7bCeSmw9BQkR25RLmAmPRqZVQQbpuCWOcmR1polpcf4EjVQYqKioiJiVFIcUmOnZILQpUkGzpDz63oA/Zu28TU3HzVviK08VECKtpqkgeONkFzDWkGPXF5hfTvFSnXkuVW/8uIj4+nqalJ9V5TU5MqH+h/DT3EuAcnFRmpifzxj3/grw/9k8f+8kfGTzmNI0VDsMaGB3xVoYyuDs0Y7CAmJnrUsd2n7tzkTlZ4WmqhSpTrWmLXEoBchzmqPk4utwzhKLQ2Uix0uCKyJ5eMhlBUrrrVw4CifhgMRhqSUpXfaZPXuoO2IESuwxyRdCdIzqD5V5LrMNNcd5Q0m4V4Wwy1bR20HNrX5XzRF4PBoLJU87S1Ur7pM4YPHw7+dpLSE0lOcRAbLGZbfQv5wydS8eVqalrblX2Kf3KyoRbCuk0mwIKU1bZ1kJdsU2QXoqiFqNb2yJpQJUShPfZ5jdxz910YjSZee/UVLrworCOTVwjkKKgoDqJ1Q5E9jgVBFpXvXv7pWOXey9u1W02Myktmz57QYF5b71aKaWhlOADuNjcjx4QqqmmlHqVVrqgFZeTIlSDb4rrJWserx+YpE0xxfipvbJspop3KKy5ymzmWVEeLu2cVqSpUiuIGrzzwBGCiIxiLDkgdex26ovF4yzYSQwfxuiYaglk0dZFigdVL/shdt918wvv/NqHT6cjPzyc/P//7PpTvBAaDAZPJRHt7uyqh6kSRk5nG7b/7Pb///e8YYTAzdmyIHMu2li63V5EHyeiu3LxCSrv66pdeeokFCxZQUFCofMdhC016u/Om72htJCOrF4/+5Y9c/5s/RiTcdicZksuo+30+qiorCPi9xCWlMyAnKeL71VtWk9R7IG+++SajR4/GYrGQlBT5vf8VDBgwgL1799Lc3ExCQgIQStCbPHny93xk3x5+mHUte/CjRkxMDDf9/BdMPm0upZvW8cbz/1bKK9e2dVDR4Fb+ic6rs6ODGLM5wv8XwoR0/oAs5Z9MhrW/ESRYS4TbfZEds1Ia2hkZ8RAEXkSiZT3w4+eWMDTdoSLFEIqSiHMDSLeYKFuzgga/WqsojiMnyaJEsMUxQCiSokRTHKES0IqjRNc+xXe0RCshNYO25iZcB/dwePt6ivv2ptHTwdv//Qd58UYOHdxPWqyZhEAHQVcdk2fNJ7egN5aMPNzWFNbVtHFYZ1M0hCUlJaRYjBHRXzmCLY5fq7cuq2tVRSllZwt50HRJ0pWcJAvtDYf5w1ubeO/DlSxb8gq/fOcA7X49xcNPoa42JImQ76886AmiLSBLC+w2U8Qky5ESmuAIIqqV4wh3kpS4GCCUrCXur5YUBwIBDNZ4hTRr9c8lOXYWjcxT9MgzitMiKyxKxyeT4hvGF1DTHCrYIc5PPs6lO6u7lfnIhXKiXaMTwdVj83jmwpKoLgA1m19CTwADPkxlnxCDBwtuDq5/Bc/mh1XHajFCVloSHR0deL3HTpLtwbeD1NRU6uqiy2xOBAW5WcxceAm716wgGAyqHFAqG9xKtLiz7hApVhNHVi8jz+hldLotwosbws9eS0sL77y/nIULF0aQdrtV/ezKMonKBjfNbi99CnK5+eZfKbZ7dqspQsYhnCnkcaOptYPD1YeprNiPJS6BkoH9o5Lix78ox5FbRFFOBgsWLKC9vZ3Ozk5eeeWVk+ah+0PDlClTSElJ4YYbbmD37t08+uijfPHFF5x//vnf96F9a+iJGPfgW4Fer+fcuTNITbCwcuXKY2pQ7TYTNa4OgqawNlcsD8sDvVguE8RBjoR1V69eGyUQvxHkTZS3rXR2KJn3IhoqL5HLMpCcJAuLN1ZE6Ga1S95+n48Nm9aSO252xHHJtlshYukEQlFMrQ+o2I/8XnfJbYrmLz1UTczZUMchN/QqKCI7JaSZNOFl64bPySnoS2xaEjqdTtEMR4tmmu2prPnwDfJGn6psX+y/u+MQJaBluzeZCMvG+i9vqmB6LwOJZiPutlZm9Mrl6I4G0grz8CXbqGkfpvxmgLWZYZ2ZuPWx5KXEhoq4dF337twpZAJd0+xVBsvuSoHLkNuPL6gnO83G1p21XLN4E9fODDkWZMVZef2V57jtxqu566HH6D3lDF48hs8xqMucj8pNVPYjBmu7Ve1GkpNkUazrRORZQC63LSZP2qIJonBHtPK9om1H8zTWoqzGrSRXFaXbeOWB8Gctm59QXotn0Ud4kBHPqLhfImppMvXU0f2uERcXx+HDhwkGg187wfC8WafwwZJnaKqvITE2JyIpNC/ZRudRH3ExMHvhxfgaq4jXWVj14TKCWUPR6fWqtv/lpo0kFxczbNhwpU2oghtRikfJUiZ7cjbBYJB3lr3FhFMmsfdwHRkZmRgMBlpa2rFarVS7OlX9dDAYRN/RzJGjDRhiE0nMLECn00WVF93+fhn7Vy2lcNI8RWdfWFiI1+vl9NNPx+M5dsLxjxVms5mlS5fy05/+lCFDhtCrVy+eeeaZk1rG/avg2Wef5bnnnqOqqooPPviAtLQ0br/9dm6//fYI94yvix5i3INvBWZDEJ/Pj8vlIi0lRVnClitLQXiQ7OzswGazk2eLUSJtckcrWylFg1KUIIqDhIB4f9HIPEVbDCESsXjzoS6y6gRQlSUWx3jb9D5RCzvIUgFBlPeVV+LWm4l1hBN45KpQsj5Y6IUFWe7OHD/aa4HuligdyaFI4fZNH9Bv/Gw8AQOnThxD6d4qDnt0VLb7yTJ2qM5XPl6B2QvO5e0PP8KRmk7/RD0TBg6k2ePjgwONyncWDctWfEAFRDLdvH7pVLd6VFH3YMCPv72N1oM7+LBzQCjTubMdQ3UVhswSDrt85CTFc92wdN7aU8OByiOs2bOX1Ws34jl6kKwZi3jiguEAqkIs0aCdNEX77jWLN3HXwnB5Yq0MwxQTQ2dLeIK0svQggQ4Pna5abNkjuf6NXZA3mZry5m6PQ0DWmUdozteo/5RLaNutalIsk3u5mIp8jiKyJuQllV0rNVq3leNp9AWBtltN3bq9RJucvvv+h/z3P09y6eVXMXLCVAAO1dQRDAZVFbZ68N1Bp9Nht9txOp0kJn69QisGgwFbXLyqQIqMYDBIU1MjfQd29S3J/QCYOGkyf3l+KTkDh7H0lY8YN24CZXt2M6hkCEajCZ/VfNy2aLeZVPp9sYKo0+k4+8z5NDQ0kBhvY/uuMhIS7FQcLGfsqOFAOPhSYIfao0eJsTso7t+fQ00hWZt2gijadHP1QfLHzyYvUR3J3r17Nz6f739GinPZZZdx2WWXqd4bMWIEGzZs+H4OSMK9997LE088wQ033MAdd9yB1+vFaDRy8OBBbrrpJv773/+elP30EOMefCu4+OKLsVgsnHrqqdhiYyNKRStJTV3veb1ekhJsVDV6lPcEZJ2mFvMHZEX4s8pLtseDINRaYul0eyOSmmRSLJPGvGSbQuKF04DH3Ua7wcf04UNVEWUR/Y0WrdQWbZCrzMn7lS3TBMT2ZHcNZ2MDMRYLne3tnH7WBZR3LfuXVrmo9ZsxxQCdIWmD9pjEdZWjjnNPnUZTawctdYeoafXz3tJXmTVvIctee4lJ02fx+eeryc7MYGqinr0+G59ur8IUHxp0ZUkAhHTWZetWcuqECVQMylHe19rXVTW2K781xjqIKxjMxH7pfLxhJwALb72fYactYF6/dHIlEwF5ZUErixCRy0Uj8yitcnH7RUP51d9Xhc5xUCiZUzil7Nmzh5ycHCoqKmhubsbUWEFyZzN9nM1k9juVI64gMYmZ6E3hwVIrNZDv66KReUoC54RC+zEry0HYy7o7n1d55WFKQSpOt+zGodZcKwVQrNKkVCLL2gx+mSDI1/BYFojyyo24B2+8tgSL1UpNzVG8Xi+fr/qI95a9yfCxkzAYftxldH/MSElJ4eDBg1+bGAcCAVqbnVhj45Vkukx/CxnxMWxc9SUJU6YyYMAgVYQ3pDv20Xf0ZIZlJjF4SgnlBw6g0+tpa2sNSWv00Sf5wkNeXnWQIT/zsfZkfCYvvXqH5BATcvN489WXWHD2+SRbAlRWVtGijyOvsI/iriACNtEmd4s3VuDrbEen06tcWQAyMjJobj7+ZLgH3xxPPvkkzz77LBMnTlSq8xkMBu666y7GjRt30vbTQ4x78K1gxIgRrF27lvVbtmPOLFQkD1qtY1jnGKTZ41NcISq7Ete6gyC9lgRThMSiu/LT4m9h2yVDlmUIYil8kF0QoVMTS3i5XYVAFPmF28vhQ1V0tjbiTiti89EmDta1YIgxKwRJK4nQkmC5QIYM8X60AhpiG+LYABraW/D62tm9oxTcvWlp6yCv3+CI31a3elSkWFSkks33HTYTe+vbQvvPyEOv1zNh5lnsb2xn8tzzqHa2EptVSEyclV4OM1tff4UxcckUDCrivTdepGjMFFy11cQlpTK0Vxqff7SMcxdeDECBlLQo9Icuj5fFmw9R1dhOMBik9cBWDLYEAh1uvoixYkkJLecnDz+V7Ws/o6J2KH9ZUKL8Vr5f2qioeK/dF5rInP23lRHtod0HMfog9fX15Obm4gvqKSzqT1xiPcnJvZicVM85c0aq2tylL5Ry2/Q+QOQKh9wmRRlaixGuHhvpuywKx4gCNJWa6n/RkuaGpjsiqjfKSXzCfiqaXV53EoqyGrfKbePrIq+wL3q9jvffXcb69etISkrmV7f8mtReBV97mz345jCZTOh0Ojo7O7+WC8fBgwfp1Jl4bk8bOUkWHAfXMnz6qQT8fkZMnk1zEPKSwzpd2atbbzCg0+nQ6/UMLO5D7z592LN7NwaDgSNHjkBGJpZjTMDk1UQ538Tl9mJJ6FoJkdp6gtXIGafP5mjVAWKtZtKy8ki2dxVx6vRGVDmVUVrlYu2qj0nMLeJ3swZEfG4ymTCZTKxcufIrXL0efB00NjaSmpoa8b7T6VQV6/mm6CHGPfhWcMkll7B27VpaG+swZ4WrR60sr1OWe8WgGwwG6fAGjjn4ajstmeDInWC0KLGsbRT76E56ACGiKLRvYj/ysp1I2BOEXHxW3erB5YnDlpjGwCF2/vTOZoyxdnQH15PcexDrth0kc/C4iH0L+YUsxRCRP3drC0kJVuJMeuo7Qslw4ntOt5f6yr243a3s2LGD2QsvVjSooYvkot/AgeTmzYu4hnKym/BL1h6X7PIQzetZDHJhom8isbOT9z5awylnXKT8dtjMhfg6O3BkZDMiLRadzs+ss8Kfi3MV0Xax37HZDkoczbyxpQpTQhKW1NyIe6XTG7BmFBDwdlB2uAGzJbxUKu6fNotdLNMKMius2kr6pij32+Px8Prbb3DhhReGPhtYTGdnJ4lWPV/sbefUSxbw0rNPc/XVP8Hv99OOkcfPLYlKPkFdxVHrvxwNuQ4zFQ1u8rBFVHLUTtJkaBMi5UizNvIs/hbFOMTqSXqCSZFNaJ/J3GRbtxE7AfG8iecjJTmJ1nYvCXYHV191JcOGDfufK5zxY0VKSgr19fVkZUUmxB0P27dvx280421pZMfecn538Rx6pYWWbTZUNpEWa1aVfBYT/6HpDqVwR7sv3JdbU3PZf6SJigPleEx27DZ7t/25tp0D3a4QHa2uZv/OKjweD/0GjyTFEZJ2yONBRYObvGQb6QmmiBXHjYdqyRg4mnF5Kcr25eNyOBw4HA7i4+NZsWLFV76OPThxLFy4kFtuuYVnnnkGCElnysrKuO666zjjjDNO2n56iHEPvhWkpqbSp6iYfWW7yW5Tlx7aUuMMJQd1dWQNrjaOtvnxd0W8RKQrGuTIm9BayjZBcqcld17dZetD2H1CLk0sEym7zaSqDifjn1+EK/HM65eO0+3FbjXyp0efot2WTr/sNAr7haq0xSbq2Ve/n0p6K5rR2rYOHDaTst/qVo8ilwgGgzQdKKOS0LJlSt8SJSoskvTScvsCMHjYKHw+LwldJ/32G0sYNfYUgvoYCIQ1uILQiEhibVvYRWL+gCwqunyAZTs1OfFPaJGjLe23NNay02TGVFASUUTDGGOm2g272mOU85PLcNe2dSiR/LRYM15vJ4dK1zJ78miyY9IwJmZH7E8Q0MWbLZTt3MXDy12gg759eyvSCuV8td7YXdGoT9aE7l/v4mz+MD2Pt5e+id/vY8q0GQopFjCZTKTaYwAvOp2OWQsvornZxapPPmHegjOV7zkluUK0dife09oMVkaxtxIJd2JlAlBF8YU2/a09NapERy1EoR2nO7p0QxBZ8cyIKLIgy8fSb0fbliypqK2to6hkBPPOu/SEEvx68N3Bbrdz9OhRMjMzv/Jk5YuNpQwaPIwDcYkYC+LZWN/BgHyTakVOVHUUKEqNU54NmcCGf2MkkJjD20tfpeT6K497DGKSGW1VyOv1cuTwIfaW7aaltY3Tz5ivRBUVtxhp0hlyE0Ih7QK795bj6/Cgy09V7UP+js/no6YmnFvRg28H//znP7noootIT08nEAgwYsQIXC4Xs2bN4p///OdJ208PMe7Bt4aAP9zzzR+QpYq6KnpHm4mq+maavEESutmOTC4WjcyLKOJQ0eDG4TGpkvoEounFIJz0tnRntUJQ7DYTdPHcygZ31EFcLukrDwCC6H6x9yAfffwpiYNn4trwLpePPjs0q61rxeHoR2tjGzq9XuU+oZWMiM++/OA1Zp55AYcbXRjbQxo2mahWt3portxDIBAg3p6Iu6kGt6uBydNOZdj4abS1t7N08bPMXhiKzkYjxfK+xfKkHOkR+xQQpBnC0WaBNKuZsvIDJKRmUB3FkzqcYOhU9uOwmRTJhHBqCE2MTAwcMID09AzS08MODiLKIy/xz+uXzluE9MjNezdR2ZClHHO0CZbKpizgw+Bro3bDx9Sd34/pM0Ka+GhWf6BDcIfzHlvL+7+YCMQw6dTTeXvpm+QNn6oqaqIt7iHLdQDF2US+FhCOgskrA063S+XBDJGTE3kCI1Yv5O/mJocremnvqZhEaJev5QiagKz17A5KVD7BRMDv5e2Xn2H+7FO7/0EPvhfodDri4uJoaWlRPGpPBEeOHOHwwb1cduZFlO9qQaeP6QoehNu04hLTFRfpbqVEBDhECejSKjOW6XO7zRHREuoZxWkqourz+airOUpnexvJ6VlMy5uF291G9eHDVFcfwu32UFzcH0OXtnjT2vUQY8XmSCMzJ1+1j2c2HMTb3kZy4UAl/yBau3e5XDQ0HKf2dA++MWw2G2+88Qb79u1j69atAPTv358BAyIlLt8EPcS4B98aFl1yMfff/wBDR0WK4mXSMDAuiE9nVKKlYllLa1sGajKqLSChhVjyjZa9HE1nLGf7263hgT+atzKEHRcgRBJDyXk6YhKS8RwtZ+ip81l1sF75Tpurmni/n9akULKZfG6ym4CIBnYMGkh9F7HTed0Eg0GOtLUrv/N2tGOxxVJvScYNDB2cR21bB7ub/KTFmlmzajVjZ52jbA8iSwFrC5yIKK5cAVA+TuFFLY5flmAkpmaQ1OGn6Ugl1a4OYlMyJTu68PlWOjuUKmoyhDvDqNxEtmzdhtvditmeqloREBFUmfDmJdu4YXwBLo+Xe4DGrZ/wYvsoHn/uJf76i6siXENEkl67Dz7+1WhO+8NSvK0ezv7bSvY8cpHqmLSD4Hmjc/nvhl001LcoBL2y0YM3rR9PL36K0xderFRoFFg0Mk8ZtEWBDnmFQF4Olu+DgKgWKDTtED1i/9aeGpUcZmV5nZKQJ2N0gZ1l22tVJL60KkS85fONtvIiXxOLEUzFo/HuXo912PU0bXg4auRuwMBB7Nyx/YSSYXvw3SM1NZXDhw+fMDEOBALcef/f6TV8Ih5TLBMKQxKvUFVEF+Ditul9IiRMQmYkBzBEwqcgxQDVrlbWfvgmZwy+LmLfx5qMiaits7mF1LRMMrJ6KVFwn85MXn4+jrReBINBEqxGPvzgPebPnUPavLms3X2I2LgE5TghROyDAT8GUwx3zyo65jVxOBzs378fqzXyWe7ByUefPn3o06fPt7b9nq6qB98a+vTpQ2Hv3rz89L+wxRiYP3QEGyqbIshuZZMLv0EdDXN5vF063zQlSriyvE6VrCYQTdMpSHFFg1shHiJiIZLlZFiMmoITkmOGsB+TZRSy3dvtM4pUS/X/uv4c5Txl4uiyZ+HctYm4uDSMMWG7Nnl50eUJEdIEixGrNZZDrR5Ax+DcIt589QUoPgWdTkdhuoOA30cgEDaV11q6jZs6S/lbXt7XyhwgpOcV1dzEd7QRYQgRNm2Sl5CgVLd6sMTF447NwKjTqZIN5YIl0aoN5iRZlCqAIY9jK72DTUSLAwiiJ0+KhDfxbdP7cE/X9xL6DOe2Zz/AGGsnxh7SBwYDAdDp8HtauGZwHO0eD2v+cQ1FP3kWXVMoudDl9lLZdR2K0sNk0eX28tLmo8SbwRQfr7g51LZ10GqyMXDS7Aj/6RnFaSq3h6L0UGGNRcnh6LFoy+Jc5LYtk3qhwZYRcidxKtdUO5kUExxnV0GDkhw77b5wSW9BjuUJz4looFfsrqW61cNfbprMTdeuj/hcLmzS2e5mypQpPbriHyjMZjM+nw+fz6c4NBwLK1aswNfhIX/UNFV/PDTdwSNrKshJsqjIr1xuuTvIHuRGo4leBUWK9v148Pv91NfW4GlrJiMjg6ysLHQ6HTXNXrU2X5pQN7f7yBp0ChsOhlbivlzzKRn9hmCNS1DyFEqrXKz7dCUpfQZH3a8cpTYYDMyZM4dPPvnkuMfbg6+PqVOndtuP6PV6cnJyOO+885g1a1bU75woeohxD741rPrsC3bu2I7BaGTxU49y3wMPkhZrVkXDVpbXYQz48RkNqqipDJExPN+apUQMQR01Ex2xHJUSJFMLOYIcLVonb0/G5wdcLBoZ/VzlDriiwa2cp4gMin1Z8/tQmJGI0RjKCNeWkQaIi9Hz7OL/MnnueRzqijwaDAZ6TzmDHbv3kmbTE6xtwdfaTGPhQGXbglBpC13IEW+HLXphi1G5iRHRZPnYIewYMSo3UZUVDmFyXLFtI/74TIwWm2IpF61stFxOWxC32rYO1h5yKgS5tMrF/q6BViQ8CtS2dajOQ55gCGcIYa+n0xupW/8OKSNnU7/xPVJGzaZl/xaetEwAnY38/l4KB+RTv/Ydin7+JivuOE3RHpbVqGU71U1eHBY9lfUtCvkT5a+fe+Vd4gdPRafXk+sIvaddbVhf7op6zwW01ReFfKK2rUMlI5EnBcKHOxoEoRbaYkFQ8pJtqhLd2jLr8nWNBjn5qXjBWex+83WKfrGUDffMCdm5denZ65xtfLh8OX+6996o2+nBDwPJyck0NjaSlnbsSdGhQ4dY/NzzDF14Ndn2uKilxXMd5gif+q9SZTEt1kyFwUhjSztlqG0DLUZ4Ym2ofeqCAZqbaijf30ivzHRys8M6ae1zK45xwyfLmDFHnQ8AMOm0M6CxnAZfO9W7d+HP7s+neypJHzASo1n9DHRXTKrHevDbx7Bhw3jxxRf5yU9+olxvn8/Hv//9b6ZPn45Op+Oss87iH//4B1ddddXX3k8PMe7Bt4aPVnzIhZf+hDWrV7J/7x4+W/UJwyaFqsAJYjClIJW2Wjf9+xcCkUlS2uU4mfTJyVUCqoxkaySBjpYMJRKTZhSnKZ9XNLgZnWCnpjmkYRVeusKDVvt72eNYjtwKcrilxhmKrqRmsOKtVyguLqZvQT4GcyKvvPACiy6+mFeXvExhv0E0uzuYPPc81T5E1NqckEjd/k0kjp3KqKK+7HSGSOSo3ETluAX5kSPEsm44mkQFUBFU+fP5A7KUxL2KKAlislTDkD+MYP0R2uqq2VKTpuxPhpBXaG3ixGfZ8UY+Xr+dgD90vFWN7arrLleNk7evlQzcNr1POGI6tatK04SfAfCILrT8e7TJzQ2vhrbdbsmg/fN3uOHVDO6a0191PQQml2RS03iAShfMevAzXv7pWOXcB02ew8q3XyV/3GymFGRHHZjl45w/IIsNlU1KIqIg41rSLDTn8m+L0m2sL3epIr3RUN3qwWIMySfWl7tUxyRPhmS7wBOpsAhhicgdr4X+rlu9HJgDhMiDCzhyuIq4uHh69erV7XZ68P0jMTGRvXv3HpMYb9u2jXv/8iDJQ6eTkB5OhtWWRYfwZFy0KdE/aYMN0SRBoT5+OK+9/CwT5iwEwuT4sc8P4Ko9RHzAQ7wRmoJmVvrSuX5AaPvBYJB33nkHU0YxwWCQwtxQu0uP1bP5y02cetosNq9fzSkTJ2G32RRZVWWDm6b2JIKuNuLtieSnO9i0bi39i/vx85ndyyiOV4ikBycXmzdv5vnnn2fatGmq9ydNmsQ999zDypUrOe2007jzzjt7iHEPfng4cuQIR49UM2LMePoPKuG2m69jw/p1zD8z1NEJwmu3mTjQFCIplQ3uqJE0mejJS7QQ1swKm7JoS3bapCUIaT2FhVZZXasS0RDV6bbUOFVk5mhTaLsZiZHbkqUForiDPEiIwcHX2UFnh47YuHiK+/ahtaWF2Lg4ftL1AF90yaU0tnjQ6w04YmOU81pZXqdEUXOS4skdeQqV2zfRZ0h/hmbms6XGydKd1REe0S6PVzk2OcoukrTk4hDiOgpSLJNnOcIul8wW2FLjZEhaaMJyqKkDh99LoLM94jrJENdHS7wCAT/+Hav4xxUXKddAOxlZUnpUIcfaiLNsead4CVsjSan4/ZLSo8q9bT9YRrzOyadPLuaRxJ9y/9z+yvUS1yYpLo7ifDtbaxppqG9Rti3cSQpOmUui38WrS99m1MjR9EpPJjneqtJUinshrzJoCYLsICKgyHu69O8lOXaVVj7XYWZUbiLpCWlKVA1QvRYTNbE/+dkQbjCyH3Y06ROgFDm49IVSdr/5uuq4IexyUZCThcvZRHt7OxaLJWI7PfhhQK/XYzabcbvdUasRtra28ucH/kLa+DOJzx9ApbODrDirahKtzUWQIfqXElu4aNKx7DlLcuzUzj2X5e++gX/G6diM8OLqzWQk2LDRxqkTR/P2/hYay8tIStTxs7v+zqDJs5ncK5aRI0eyubKZdmct9d46Wtwd2AYOQmey4fQa6d27D9tKt1LYuw8JCQnKc6bX6bHoA+itJr6sbkBvNGGzRy9+0l3UuAffLjZs2BDVWrBXr15s3LgRgHHjxnHoUPQVtBNFDzHuwbeCTZs2UTJ0GMkJVpITurSlFQdVhBhCiRy6ruidgExwZVIjEwPtErWWUMs6VAH5N8u2h7KZBbEQUeNo25Bx3bg8JXosKpfJJX2FO4WAiIgOTXewZd1qzHmFFJ8yiyovYLHS1AKrpCh2iNz6yLDH0O4LLUFOIVVJVFs0LJuKwzVk98lhyKABqn1oj1eQYhGNFIOTNkorbNpkVLd6VPZ12vMRny/efAhPcxP/euwPmK02OhNyOFy1DZ3fz1ZXNYOnz49KrLydnSoXBZEktuTtpWT0HsRbu44ox3b/3P5KpFpca/G72rYO8pJtrCyvU8lJhKZa2JyJ9iHusXA2kaPPd3ABB958AdApcgy5SMao3ET8Ph8Gj5OX14VKYc968DNOHxOOnoXKxVrIzMujsWI7jtgYPv/gdS648GJ2HglpmJWSzVZThJ5YJBaKti5ff6dmUmgxomrDEK5KJ9xburt/Q9MdON3q4h5KWXVQTTLkJFeHRHwBXnngCeU32uQ7gPiEBHpl57Br1y6GDRtGD364SE1Npa6ujrw8tY1gMBjk3n8+SWJePwYODd3DaHkCx6viGA1yYq0gm/KqXp+RE9m2o5TaKjMZ+Oj0m7lw7iysJh1XpyXTPiqf/67bDwQ5emAPd/znHR79xz9JTrUSn51BhtVPXYsXnTmOpKzYkEQuOQe/P5Sb8fyzz3DRJZeGjiHZBmSz5ovPCeoSMNniIqrcyeghx989Bg8ezM0338wTTzyhrEIdPnyYX/3qVwwdOhSAZcuWMWLEiG+0nx5i3INvBVu3bmXchEnK39k5ORyqqor4XunBerzuAC1dpNXp9ir2PsrfEhw2k8pWTPY8FmRakAG5bHJ30QmZWLi6ikxoiaNczjgv2cZ14/KUY5EHA20pYFHBTCShZQ0axb71nzBm0qnUd/WoWtIozrem2RvVKuuej/Zx3bg88nqldyuN0C7/AxGkWDuw5SXbFG202JbdalJkFCLZSsbK8jrS9G42LXuBlKIhLJw5nV3bt3Jk8CD6J9l45bmnaB8zBZs9XP1KeBh/+uFbDJg0R4k8260myupaibHGEpeYoly3UCKeGkeb3Ly2yc3CEZldlnvqiJUgm4rmXLN8q7X7k3/rxUSS7ihjr/8vnz9wFmN++6HyHe/uUJLZVfMG46wPHXdySrzyea7DzKKReUp7KhgYqoyXXjSC9z/fTG5hkSpC6/KEre/kiYm2oIc4PnFeYnKpbRufH3Bx9djQa4sx1A5EMQXt/dO28dEFdtK7qkjareH2IxNpkJ9HN0Nm3ar8vmnDw6rtyaShb/9BfLllaw8x/oEjNjaWqqoqAoEAen04WPHbv/+Howf3MvL8sEuEtnx9dauHnCQLuQ6zsoqTm2xTghGqkuRdgRFtwaHFGntDXTDAsOQY/HHZmOISMVjiGVPoUH3HYgTL3s+Yc2bIczwxoxf/ePkt4pNSSeqVx9Vj80hMDPWnTld4RTIvPx+ACy66hA3r1zFq9BggZM/W6Uvkk9f/Q7+Zah/zHnz/ePbZZ7nwwgvJzc0lKSkJvV5PQ0MDo0eP5rnnnqOzs5OXXnqJv/3tb99oPz3EuAcnHYFAgLKyMi694mrlvby8Ag5VVWHW+3G5Q6SltMpFQ2sbOr8Ol2QddSzIkWGHzRSRjCcP+DI5FK4FWv2sS1oqF3/Lv0+LNXPduDzueDdE0P75RTm3zyhSSPj9c/sry+jz+qUr0gdZpgBhgpFWNITEODP6rsSBotQ4Jaq5dGc1W2qcDE13KFFDcb5ypFqcq0BRapyi1xXEU4vudKg3jA+V5RWJihH+0F3Xtig1jqLUOD7aW41ebyDg91G26m1qdm8mtnAIfSefwfgRhYwfMQifz8eSJUuwxcZxeMNK+s44S9nmlhon5Z+9y7wzz+OVpa/TZ+QpdLjdHGpuRafTY0twKN89XgTq0Q/2h65pio2FIzJVnwnCqbXcEwO0uObyxOquhYO4A9j95uvE7NvE2DM3YcKLO4rDtiDJu3ev5/QxNwJhK0BtyW633kx6qkOR+8jV/bTQ6uJlqzu5bcikYkZxmso6UEB4FpdWuUiLNStuEzJJlp8XQWbsNhMzitOU32nt537191XK+YOaFGsL7LT7YPjg/rz55ptRz7cHPyw4HA6cTidJSaHJ7J3/foXDW9cw8oLribHGqr4rdOmyLEtMoOSCNMdKNhUQcq2sOCsE/Ax0+HG3tdMrMx273X5MR5M5c+Yo2ugnWj1YExxUOTvZuvQV4Fyg69lsiAyQBAIBYmNjcTqdbDjSwaa1a7AmpVE8ZxH5Sce3XuvRF3+36NOnD+vXr2fbtm3s27cPvV5P3759VT7Gn3322TfeT89t7cFJx6FDh7BYrSSnpCjvnbnwHD5f/SnX3vkAvU89TyGMsb42HLZYlY5TC3kpVyYUMonTFlPQLquLjjoa+ZYJodaKzGEzKclZGYk2xc9SXpKX5ROyO0C0stPxjiReeu6//PTqqyMi3QKCAIlj12Z9iypnwvdZ+1sBsZwOKAQH1NHiaMlecmLclIJUXB4vwWCQtZ+u4JNXn8dksaEzGEnPzuexfz0S4X96171/prGxkYsWXU5abh9am5tZ/cmH5I6Ywp7N6xh76nwMBgN9Rp4CQG35HqwJdnQ6Pc6aw8QnpwMxERF4obOWdd619W5q6908+sF+hSDLrify9dV6qMq6auXYFw7i6OhY/vXKchrMfTB6aolNyCM5JZ7Nd4YSPm5+9F0yJmbQUOfCu3s9f/3tP/j7o7eweGMFi0bmMbogpKNs90FZXS1bV6/g9HkLWbVxK5l5vZX7AWEiXFbXGpK8dBFn0Sa1WmxhoyekP+L/XIeZqsZ2nlhboRB0izG8ElDb1qHYtQmCLC9ZK+2mnAgJzdB0B+fd/QpHv9xCiq4aXzADEz68hI7N7/dji9FzuKaBFOmZF8fgC+pBI5fqwQ8TKSkplJeXk5iYyO+fXMKeT98hZ/aVWBMSI/zIxWvRnywalh11hQ8ik+6iyXz0QT8D4jrweNwk2TPIz+l1QhZ/69evZ/bs2RgMBkX68MTaCnLPOJutpdsIBgKUbt9BfHouBanxirsOwNu7j9Lm9FL63hu01h2m79QzyU85toSiB98PAoEAv/nNb7j99tsZPHgwgwdHt9E7Geghxj046di9ezf5hX1VnZo5PgnzpMsJBgNUNbZT1djOhEI7hoCfmnY/hzXWWyEP41BnWlrliuhEIUwuotmKCcInyKccpRORDpHsZ7eGSEhZXavKhko+BoBnLixRXotomCzbkAmsIp/oIpkyUZ+98GLee+89ikdOVAp4iG1ol7hl0iY0zVWN7YzNDn8u71dEjLWyh9q2jqjbX7z5EIuGZau+J2NleR1D0x18sfwt1q18D4C8nGwcw2dw68IpRIO7tZnTzjibluZmgg0u6o4eZv65F7O3vo28vsXs2V/G0cw8RuWGorzi/y01TjJ6h9wjcqXzEVF4cU2FHlmcy6PvlYGvg7o1n/Bo/VQ+7xsZaQ4Gg2zb16XRcTeBXh/6PyGLhoZWMJh49ZdTqG3rwFlfwx9++ROl/Qpd86UvlPLMhSVcO2sgPz87iate2cGnXZHTzw+4KN1bz6KReaqo6R2vbefwm5/x2IvryZ8yFRweHl8U0r85pOXkcy75AyY68RJD4/pwBFaOHItqh+HJXag9Vza4WTQyj88PlFLp7FDapkiAc3hMimZYVAqD0MRJWwBH3HNl/0cPcdq1v8dEJzrs1AezMOLFRAfP3nsBhfnZvPn6q0w/dSZbNq4lMzufgcV9sFgslNWEjq/G6abTH4zaVnrw/cHn87Fjxw6CwSB6vZ7m9iABr4edO3fw5wf+CgYTIxb+BHuGuiCR6MtEXyGeS9GPCsi+waJNyp70AoaAjzhfMyXpcSTYU8jslY1Op6PDf+yIrFgNGjxsJOWV1WTn5CificnhMzodFY1uXIf2o9PrWfn2q3S2n87+QzW0NzeiN5robHWRVjyMzEFjyE+J7SHFP1Do9XpefPFFrrjiiq9UpfHroIcY9+Ck48vSHbS1tRIMBtHpdOGs3yS1ZVOls4OLC2y4jMnUdXWg2uICpVUuFZkT5E50fNE8V+UoqCDH0TTGciQZwiV1o5HiaFi8sSJiub+qsT0i0qmN6gJk9h5AglmPXm+O0HOK17LVW7hARmh/snOENkIq64TlEs7dnkdXlHtev3TFo1jWLW+pcbJ/11Z+euMtjBk57LjLh5mF/dm+bSvT518AgD0xGZ1OR0N1JcufexijNQ6/t4NeV/2ctKxcHLaQvlirlRb3c832MtKSUqk+WMaM8WOwW01sP1TPwQY35Z++xdShp3Bwfw3lvSdBSw2lq7aBDohLQ1ezi2D2cHRHd6DTGwimD0DXWE4wczBYAjRX7sVgMBPjOsDZD3hZcecc6tKzqNy7kye3BWmob1GdW+6acpZeP5Ta+mb+eXYJQ54MvS+S0BLffJ2mDQ/T7oPEUdcDEIMNA16qV75POzb63zoRkyncthJHXQcEselaaA9ayR19Ma0k0rThYezWUNuVJyyy7ldMiiob3EqRlNvfL+PuWUUKcRAJdmI1RE40tdtMqjLr8mSj9u3HcAVTgBg6iGXJs79TjkEkdNptJvr2Da2izJ07l+3bt6PX63nllVcoHHoKVQf301BXw6HKg8duND34TlFRUcHf//EwPr8PsyWWQMBPp89HrM1G8eDhzLnwKjKzC9hWH/lcCsjviUmWdnVL9L+iLcqTMGOgkwmpoZWE1PQibLaQVEN2HjqWHZrFCLv3lpOQkEBHe6QLjsUI14zL7/prAE+srSBn9nwO1jWTpO8gbehQdJKWuocQ//Axb948fvazn3HHHXdE9Y2eNGlSlF99dfQQ428ZTqeTmpoaYmNj2bP3AL0LcsnvEv7/r+LL9WsAKN2ymSHDhkcQzAmFdmX5bW1FI/sC4WhSNK2kiEiIRKKSHHtUP2KB7vRsckKIiLppZQzRSGxGoo2jTW6lkpLdamLpzmoVKZZfiyVF4V0sR1oALN42DmzfyOSh56vsu7SDT16yTTlXQYTPKclgSelRPj/gYkJh5DnK5Dpa2euh6Q4qnSEpxoziNO5eUaZIFCBcnERb9a6xsYGCnKwT0tQVFpfwzktPccUVVwJhPXlr9QH6DBjCb37+M274+c288K8/s/CKm3AMGtitX24wGKS6fC/xjiSG5qVR09hMmV/PR5tK0esNTD3z/FAEa+wg8pJtit4b4J11hwjGpYJOTzB/HAT8pKXFM2pScfich/QlJ8nC4nfSMbYc4rx/fQENB2hpchKIicdgsODIyVMRZI9fT9DfidPtVYpbyHC5veRP/oXydydWzr3lJl554HFAx4AJ59IQzCBJV0tDMBMLbRjwM/NX/8crDzxOrK4ZfdDHNa+Ucv/cUAR9RnFaRHRXTBCjJRPKx+IiLP0pq2ulrK4Vp9vL6AK7Qlhyk0Oermf/bSXtq1+mnVh8pBHEQPGCs7hr4SBlmzIp1mLQoEEEg0Fmz55NUzuYdfmMHDaMFW+/SmdnJzExMVGPswffDfx+P089v4TVH73H9DlncdrMWbR0hBwahGyrqa2T9voK9HqD0mfJK1GibLyACFIoRT001ea05Z9j/B0MtQeItZpJS8/ELNn4yTZusguRvD2LMRTtPnDgAM7GRnKy0shKTz7uuV89NrSaU9lwYhX1evDDw6OPPgrAypUrIz7T6XSK28g3RQ8x/paw4uNVrF3zObt37yI5ORWPu42MXtksfmY/+fkF/OSqK8nOzj7+hn6ksFhtVLl86Lp0jTJCpK7rvebjb0uQ6EpnjVLoQoYoGCEgJ43ZrSalExQkQCQlgVqnrE0S0ZLAW5ftUpUujoYJhXbK6lqVEqmCqAYCfrbv2Y2jw0m/vn0466yFyvFFc5eodHaoSJDwDRX7+PyAS0XGo8kktP6iabFm5fpVt3qobHBzw/gCxfnhrT01il5aS7Ss9mTueeolHv/dTd2eu8DcU0p4+fFG3G1t2GJjlWtddWAPB3Zv454/e2huqsdgNPL60/+gYc7ZUDhU+b28VOvt7CQzJYk5Q0LiikeffJpg7mD0egODu+zqqls9CnEUyYRLd1Zz7cyQnnfRyDzFC1lcO4HHzy2htMrFhv2N7Ft7gMbaBmIrv6Qz/1SSUx3YW3aR1zeFCTN7c/fzW0hOiefOt8socsDb20PbTD3lVPoXp/Ppk88BKKTYVDwaR4qdFbefit1q4rpx93LN4k0ApBBK8kvWVdMYzCCIniUPPEpyF1mGUGKnlmRo5Q9C1+x0u5RCNEJrfPXYPMSZypZ1EJbMyG089/o38Xy+BDd2Aug595ZreObCEqWQiFazL34vnisR3evw6zBZ4zEHvaSlh+zwkpNTKK+spl+f/OO2nx58Ozh8+DB3P/AQZqORW267i7QMkbDqVz3vibEx1DbbiNV70UmSCZGAK0vOtNC6TQis2FWDzusmuaOB4sxkcrN7YZImSfLkThS8EXB51Ct7AF6vl5aWFsaMGXPCpcblSWAPfpwIBALfyX56iPG3gEOHDvHEY49w0eVX89PrbiQuLvSQu9xe6utq2bl1A3fddRcPPvhgVDP1HzP27duH3W7nvgceZH9TaPYmLHoeP7dEVaxhSGo8HcZWxudkqwhibrJNFRGO5pkJ6kiyKEagTa7Tli4WEgmZHMvJd9EKKwiIQhACOUkWJQlOtmUTg0ZRahxTClIJeFr4ePNOxqaZGTP2DJo9PuW6AIrHsHaw0Z732kNOxmY7Io5LS5JlKBMQ1NHkSmcH93y0j9um91EcL6oa21XOFzICJfPp+PhxGhsblYz17mA0GsktLGL58veZMnMeAIcP7qPm0EEAynaWYrHayMnvTWX5Pla9s4QFNwykCfWAOio3kYZmN0kpaYqTQuzQabibm7AmqSU3izdWKBEhOVIuiKSw2JMnVoIUA9w1pz93iA8GXcZdc/rzj5W76WjsxePnluBye7mbLTTUt9BigIHx6mP94LqxcN1YEi5YrLx35hlDldeibT++aIQyaRvy5us0BEOJQCLy3BJ0cMrFC3j7phkKWRDfV9weEtT7FuTY5fZy2/Q+3PPRvq72EL4mIhInlymXE/WcbZ00fP4+McTQtvlRvg60bhQyQTJbzLS1tXbzy/8t+Hw+7rrvL+wq/ZLRY8byq5t/+X0fEjt27ODePz9A3qgpzJszH3NcuJ+UtcFiRS0pOQVfawOOpCxVkEFOfhaSM4Fovr6BQIDNZZUYm5sImqxkZxfSOy/Uf4j+Tzwbcj8cjbwq9ouA1Wpl8ODBPPfccyxcuPA7GUe159bjSPH94KOPPmLDhg10dnYq77W3t+NyuXjkkUdOyj56bu3XhM/nY9VnX7D8w/fJzy9g4injMZvN7Nmzh8qqwyTYHYydMBk/6ipvpKYxacbp7D9QzoOPPM6vbvwZZvPxbcp+LPjyyy8ZM2YMsXFx5OlDCW8VDW6l4pGIuH5+wEVpRQNZMZ2cnaNefnO5vcqALSBLHrTLuOL6CospUFu3iUirLJ+wW01Kxr7Q4Yptyh1wdxCFIYSeV062E+8LUmOxWhhfnE9x3wLV9uWOdstOp/JanLscGax0dnQlLYaLiZwIZMI8odDOhv2Nqs+F4waEJCNCHy1HxUMTAhNJvQbyszsfYOLCRVw3pf8x9/uLG67lN7/9PwYPHERydiEvvf8602YvoGLfLko3b6SgbzEV+8vwejuxOlLYsWMLvl4lyrmKhMC21haqK8vRG8PJFraERM7u6wAi/XghPDGZPyCr2wpbOUkWFm+sUKQzeck27pqjOSedDr0xFNWy20xsuCdU7njUbe9iNuh49ZdTAHWZ8tpnFymvhUxFJDiW5NhV7fjgqgeViZjdZmJ+io11Tz7OmueWkPXcs5xxy80Kodfi6rF5qop2FmOIMKcnmFTP2NVjUbyco65MdLX/aWfdQpyumeZgSsS+tLpRLVHvDnV1tSx7603q6+pobGhg8IB+x/7B/wACgQD/ePgROjs7OOOcS9j4+SdRvxcMBvnDU69Rt38HIwf247KLzjvhyOdXQTAY5NV3P+GNl55h4OzzSS0coPIoFn1eHmFiKdpph89LL4cZg8FAZYNbFWSQSbF4xuSobmyMjrLyKlpammnT2wgkZJIWZ1U9K3IfLoo61Uax7eyukEZMTAwXX3wx7777LhMmTMDhcBzzWnyTghzy73oI8feH++67jz/84Q+MGDGCdevWMWLECIxGI2vWrOHyyy8/afvpucVfEX6/n4f/9Sgb1q0lJT2LCdNmUVNdxVP/+Q9er4+MnHwSk1NZcNmNqtm1wxP2CHW5vZy24AJef+5JbrzxRvr0LcLd6Sc9M5uRg4sYMGDAjzaSvGXLFs6YH/KttdtMqmIdgLLcC2DVB3AH9Nzz0T4eP7dEuykFFiOKNZUgxXKCRjRvWJkwyQl93UWDtfuDcBa1jGcuLFG0xtGs1OROXXzWiYkD+/dhi9FR1Ds/Yj8yVAkgNpPisFFW16oixRMK7UwpSFUiK2JwuuejfVHP6WiTm88PhP+WLc9EJPxok5ujTW5FU61FY84EbLveY/lrL3HdlD9E3Y+y/YwMFpxzAUteeJqFF1yKq76G+afP5P4/bSA1PYOcrAwuv/h87nvhPZxHD7G3rh2jNZy4uLK8jikFqfTPz2Ddkb4cT5maFWc95qAn7sXtM4pUqxYiyVG4N8hLyo1bPmb4rLAHsxjIN9wzh+qKfcRK915OEorWxkRxg+4iYQBLrxnLfGDNk/8mXtfAkgce4006WHDLTSpHFAEtORa4e1YRt79fppJUiGdIWBbKqxPXPL2WWFpoDqbw90dvUbapjQiCulKZgLYd1zR7aWyo4093/oZp06YxcfJUTj9jvirh8H8Nh47W8/byVezbvglD0M91v7qNZo+X1R+/z98ffoyrLr+E2NhQcllbWxs3/OGvtNVVYyyawLo1X9AeMHHtooUR2z148CA+DORmpUfVZ7f7QuWaGxsb6JOfg06no7GxkbXb9rNjXzn7dnxJe3MTQ8+8AkdWPoAqYCDur/ae5ibbaAimsK/yCNaEJJWNpZAtid/Jk72G5lbcznpsxiCOhCRiE9Nwebp/MJWosTtcvl4rvTvWc63T6Zg6dSoeT3Rph3Y7X5XU9kSJf1h45JFHWLJkCXPnziUhIYEXXniBwsJC/vznP7N3796Ttp+e2/wV8c77H3Kwooqf3/FnEhxi0BiL/bwLIzoJoNulobj4BOZdegOHyvfibKyjlwE27Spj27atNNdVU1hYiN1uJy0tjUGDQkUTOjo6GDVq1A82gaW5uZmKigr6Dwwn6ghCIqJiDpuJ26b3wW410dnSwEOfHwbgmldCVlhiUO5u0IeQXZdc7jialZv8XbFvLew2E3nYIootaDtQQRLvmtM/RJa7IcVA1IiH0+1l7IRTsBrh+eef56KLLlL20x1kSYAgMbIsIivO2qX1DJ+Ly+NVdKmi3W2pcfL5AZeK7GYk2jinJENlI1fb1sE/Vx1Qne/iS0YoUca7399BQ2U1Qb2R8yeemH/kaTOms2ntav75l3tZeMEiEmwxnDJpMv/59+N43G7efm85jVs+wRIbz4icMYwbl6dUCxQIBAJ07PqCmOEzALotYFLd6lF8erXQPnvRKhRCaEDOTQ611VuX7SJ5xGkR2xIDuU6vJxgIkKdxBFG+p4lSayU63UWvbphcyNy08/m/e5cQRIcZN68/8DCvPBCDZ3P0QhoQrpQoICagsqRCHIfDE/7e2FnX0oEVA+riDQIiSqh1Pol2DOI9gG1bN1M8sITLLrss6nZ/7PD7/VRUVFBaWsrateuorj5MXtEghoybxtQJY4kxm7FYrFx7y5289+qz/PTan5GT3YuUlBTK9u6jb+9+7Bo0B50xhgXTR/Piv+5jYL9CJo0JVQfs7Oxk0c2/J9BUTbzVTGuLi8EjJ3De/Fk0NDRQX19PdXU1O3btpq6mBmtsLJ729pD1GjqsSWmkZmSROWAEmf1HoDeGbpTWYUKuIgqhZ0DpqxOTOHRkNx3GeFWfJsY4WbPe6Wlj/ZZyLDEGYh2pFGaFk+HEKl53EBN/ULezE43wBgIBdu3aRVFREcnJyVHdCr4OekjxDw+NjY2Kf3FiYiL19fUUFhZy3nnnMXLkSJ588smTsp+eW/0VEAwGeevNN7jy2psUUiwPuiIiJC/fRhuoZX/H7IK+ZBf0ZUuNk36ZA8iKs2L1tlF7pIrkGD/LN+1k5bpn6ZUcsqR54803uf6668jLy/tWlt6+CUpLS8kp6EttW4DcLu4hd54iAUjYp+k7O/j51CJuXx5yErj9/TLlu/JrLYS9WK7DHDUJRCtnEMcglpTtElmHyCiYyORPTzBF6Dm1nbzdalJss0RSSrQiIgaDkc4gzJ2/kOUfr+TUaVOibq+sJmSlJetk5cRCWb8sn4NMxOSo59B0h3J88nVLizVHFFVZOCKToekO3tpTw+0zipTtOt1exukr+WTb66SkZTDrtBkR5xcNthg9t/zmNpxNTeT2CiX1jZ8wkf/8+3HWrf2Ce++9lz07S6mtqcHbGE40lAuj7K7xMHH22by67G3SC/uxRboeDptJlS2vJczyPY02qFU6O5jXL50tNU7F11qs6nQ0HqG9/jB3X3KFaoAU22yNtZIcp4/YtpA02G0mJTpd1diuvK+tDFfTHL5/ZXUhi8P6I4d48dm7SYs1M/ms23DoanEGQ6se8rEIn2Atjh49yvSz7iCGdjqI5T2auYkk4mmkBQcJNNGODYuuDX8XIfZiYdXr96i2I19PMRHUPjvactsAB2qa+fSjD7n4oguiHt+PEe3t7ezbt4/du3ezqXQHlQf2ERsXT0GffoybMZep40exuyb0bMaYzWFZVm4axb+8mdK9VdTXHqWzzcm4CZMo7D9ESXodVlyI6cqf8tS//s6RyjM4ZfxYlrzzMfi9WGbeQGZqPDOybXz46mIe+ucjxMY7iHck4TbHkzV+LlePHY4pJob3tuxBp9dTkJHBkbbuE4S1nutyNLi0yqXc59aOAHqDkcx4A9Ut4Wx/p9tLSY6dYCDAoSM1HD1ag85oJsaeDkYTvbPUY56cz6FFekJk+XPoal9R5HLRJmNxcXGccsopfPbZZwwePLhbScVXIbY90okfJiZOnMhf/vIXHnjgAUaOHMnjjz/OwIEDef3110+qt3HPLf+K8PkDNHiCGJTEqfASvuhQ5OV9UJMXrZVYSY5dRYJG5Sbi8sSRk5VObrKNg3EhT65FI/MIBAK88cab3HXXXcTFJzB+3FimTp2qlMP8vrFqzQaKBgyOapcWLWLb6Owk1hSjaCKFB3Cuw6wks8mVjI6FKQWp2K2miAgIhEljZTf2P92h3Ydq2V2UD9ZGi6MtL2tR0eAmL9mGz+8jP79QIUQCguwJOy0BLckWxFg4X4iJhjgneZDRlnheNCxbkaTIGeDyfmrbOhib7VBN7hw2E/62Js4++2zOPPPMr7QknmCLIcEWrgwYExPD2HHjWbvmC9KycmltCZ3rl2s/I6/fULKyClUezOL4fn7xQpZs3EvNgT1QqNaqdldKXAzGJTl2ZUDVtiNR+EQ4kohn1ZyUSTAQYNHzW9HpdBFShjirGfydWIzRJU9iMBVtW5Y0yJD7iWAwSO3hCiZPnk5crJmz/7aSFN0hXP3O4tBjZ5Ew7CeY6MCHiVidi+ZgCg5dHQ3BTH6vO4qr6++WYCI6wIuZAHo6Cc1SQ//r8BCLFwudwVCbO/eWq8lJsnSrJRb3QkC0Dafbq0Sf5cSsqgN78KNjzJgxUa/NjwU+n48lb77DpvVrOHyoktT0TPIKi5g4aSqpF16JPTFJee48vmP3A46kZPJ6ZUROLAj1DRPGjSE5NY1Xl7zCu+++S4zZzMwFl7Gy0URVYzu2fuksuPQ61TMtJoRtPh34vFjtoaQ2OWCidauRKy4q5F3Th0A4iJCamoq3zUlJTnZYP2yCjTv24e9oo01nJTkpG53eEOHqI7cTULcnWfqWl2xTVq/s1vCqq9Ati9fy39EwceJEXn75Zc4777xuv3Mi6CHFP1w89NBDzJ49m0suuYS77rqL0047jYSEBMxmM88+++xJ20/Pbf8K0Ol0DBwxjrUfv8MZF12DTqeLcD1wul0RpWchbCEmd0CitKsgArKHbqgSW5gwr9hdS1FqHAsXnsWCBfPZtKWUtWu+4Fe33MKsmTOZN2+e4n7xfSAQCFC2czvDTpkZ9p/sxrpHvNcQCJAYZ1bpjgVB1hKR7szX15eHk+3kErqg6Yjl5D6JIGsnLXI0324zKZpboYEWy9Vy5+lye5VouLz/CCs4m4lXXn6VMdPnRURJopXE1vqFOmwmpVyviExr7byU1xJREYQeQh29vE35eOVqVtoJRqvOypED1Zx7EnSiP/npdcyYHiqv/OST/+aKK6+k3ePhtaf/wRkXXU1W/gClJLWYMLR2BplWlM37njb8Xi/VreFS4RBdwiLek+VNQqaR6zAr0ebatg5lZUd8d0Khnff2biLGnoJr32Zuf9+ilAMHMJvNdHREd0uRcfesIi59obTLOaQ0qlZYIBgM4KyrIXvYIJxuL3WrlwO9SNzzNvlTVmOik3ZsGItG01QWsn1r6ookNweTCWCkMZipbO/mP93IO+sOsX/3If5+02QgNAGbOyiNmuYwMRFOHSISKCDrSOUqezLREa9V7TTehl6v/8GtaH0VlB5s4MlHH8IQ9DN33lmkZhdisXYVRZEmofIzV1rlUpJos+KsihbX3uWfLkNEiwVcbi+2xHTmXfxTIPzMruzKGVAmbtJkVe4r5NfyKpo2AVnZlqZf1o5XNc2h405PSaRify3BYJB4o5dNuytoa+/Ab7ETtGaATqeQYu05yqQYQqurQh4hy9eivdaSbAFBVMVqidimwOzZs2lpaSE+Pj7ityeCr5uc14PvBsXFxRw4cIBAIIDBYGD//v3s3LmTnJyciHL03wQ9xPgr4qpLLuD3v7uN5/55N9MuvhGTORSNkQdl7QMtktBk9wNtyWJAcUkQENuUo4Ri+/36D6Jf/0GUV53Oa0teZNlPr2XC+AnMmT2TgoKCb+fkj4GNm0tx2BOYOrI/zR6fytlBJLHJnV5OUlexC2Po7+vG5fHWnhrFDeHSF0oVMioi6nMHdR8Z7y66pVTA64rMyZ21sjxsDQ868udF4UCnqvPVRhRKJQIqR2dkSYfdauLTVSuZN/9MatsC3RZkEN8X5yMPEGLgyqoLD3LaAU022ZcHq2irFQIywRE+pYCqOEkgPpnaXVu6PeYThcUIFqOJkpIS2n3gw8gf776PW2++iYDfx7IX/s388xZBerFyDMp1TIxnQKqDHbtLGTDqFIXUyrIQizHkRiGIvbiO2ustJlpiYiWWkOXPrx57Obe9t4fyzv7sLi3lktoWJhalcPXYPMxmMw1NzdhPQIf4zIUlXPpCqbK/0QUh8iknd4YmVRbqbWblPq16/R4mn/V/NAeT8WPERwxLnv0dcwel0e67IqLIzU3XPgCErN9OH5PN7TOKGJvtIC02VIJakKdl22sZlZsYESEWpFhNiFGOr6LLNUCGaDtyu3e7/DidTUrlyx8bmpqaePLv92JLymDcvIvwGIxUtgYYlRSlqlvXtdKW1a5u9URYTt4wvgC7zcTdK8qUlQQRqZcn5ELnK5CTZIkaKRVJlCKBNFrVSPm74l6FngV19UMZYt8WIwSDoVK8+3Zv51CbjoDFQTAhmbRYs6qiphwJV5xWrJEBonZfpHxMtCkx2Y9GsuWCHLKESPu8JSQkfO2ocU+k+McBnU6n6MjNZjPDhg076fvouf1fEfY4C32Lili3bh16g0FJ/tLO0oemOxSLMvkhS+/SGYolbVEKNySh8EaNDMgQHZvo5OqDNiaffSWtrkbqd67nrrvvITUtnblzZkXordxuN263+6TOrATe/3AFJaMmKKRYYNn2cNRbnjw0tbZjMBpDfqddRGDRsGyVq4KQMYhkKW2ymLzdaERT6IvFNdcm2Qmo9MXSREWQGYh0qIgWCdcOjuLYxEpBenYBxzLFEFGg2raOiDLOYn8et5tUq0kpZao9Dm3yJ6iJjiCCqm1b1ZILEelyeUIrECvL64hNyaCjqfakkh0RPcrIzOSue+/njv+7Fb/Py1svL6agbzFnL7qaw57QvsTxjRzYh8QYP4U5DjZWOYHQwDqjOI3KBrcyuMnFKATkNiM8fLXFXkpy7MpxWYxwz+x+XPpCB76WRnR6Pav3h6rNBQ1mOjtD25PJgCXBpMhk5GQ4udojhAdh+f7p9XqyM9NUx73q9XtVxx0ixUSt/Lj1/ftZWV6nyJDEhFJEH+XtbKhsUvocgcUbK9TWhl2OMiU59oikPdFOoyVCWu1JBP0+mpqajut5/UPDl19+yb8ee5whI8eRP24WOl3Y2qyiwR1BWkHtlS4qEcoJweK+y1UZgWM68cj3paqxXUks1VaX0xJgCCeoyolsTsn1ASJlDXLiuN1qItYE1dXVuFwu4uLiQlXFdKHxTPS/8spotIQ80PStGuvEaFaLJyJLE+iuet3MmTPZuXMnMTEx5OTknJAdag8pDtUg6Nu3r+o9s9lMe5Ry298XGhsb+dvf/sbWrVtpa2uL+Pzjjz8+Kfv5/7QJfH1s2baTT1d+wrnnX8jOPTupaS/q9rvR3BDEEpUrytK/ovXSEDXtkjqEo88Co3J7U5GVyfDJc9izbSOvLH2Pfz36GFaLBZ0O2js68ft8GIxGYu1JdLQ1k5KeyW9v+eU3Jsqtra3s2bGF8y9apBy7GLi1HbfokL2dncTEqDusovSwZEFbqlhGtMFYC0eUKIWILkaLdESDbFnWHSkWHaq8ZCns4cSys5jIVJTvR+9vp29RP3KTI72ZtXIPOdqyf98+li19jS+//BKjyUTxgMHMnz8fl9vWrfZO+1400iz2BSjXRTvwTylIpanNzhZjDOXl5RQWRqlF/Q3Rr08+f7r/r9z9x9/jbmtj765t3Pd/N3LzfU9EfLe1pQWvt1N5LmrbOlixu7YrMh96fkps0Qu4CP06hNrolIJU1eciAQ9Cz+qty3bh3LmG2Nxi6je+T8qo2UCIxAYDAaVdydBanMl4a0+NEjEWkAdiuyOJD959i7FTZ6s01oLkRCPFsj5d4OqxecqkNL3L37go3aaaqG6obFI8uMU1kaskCmjbg4gsy89UWqxZJcOoeLeAffv2MXr06G6vxQ8Jzc3NPPbvp9mzewfzz7uU4sHDlD5WnlAryWldBFAmxcI3G0LPDIQThbWY1y+d0iqX8syJ59whRVu1cgu5PQOqfkzu76JpioUeWRybSBKXJX7BYBALXlrrjtAcCJCamkpmZiY6nY6ysjII+EFvUCROSvS5Ibx/rZWmvGooouIiIiwf5/wBWVGTZbXShprm7le+BGw2G0ajEYPBQGNjI5mZmcf8vry//59RU1ODw+Fg165wu/uhrfhceOGFHDhwgLPOOgurNXJSeLLQ0xy+IuwOB/2K+/PKSy+Q07sf0zUdvzbCK2vyZGglFKDW5NqjdDRypLi7/RlNJlL7DWdmv+GkWIwE25tp7fDj9AaJsVhJthjZvW8vA/Oz2bTmU353551ceMEFjB8/Hr1er5RclE3gj4fPP/+cwr79WVntgeruk+TEIO+wmfB5OwigttURUbp2H4orwt0rQu4UwqlAXuqPRkBcHm+EfZscBYumrxOQk1FOJLosUJJjjxr9yE22KfZfdpuJhHGn0FBfx5GqcgoKCihKt0V0/NFssTZtWM+TTzzKggULuOGGG2hvb+eTVZ/xyD8exBhjpnfxIK64dBG1bQHN8bsjyLFWWhDNck45V0lLmRgbw5CRY/ngo1Vce5KJscfjoabZhU6np621hQXnXMjUU2fT0OzGHU6GV445v/8QXnnlRSacdqayaiM+q2hwK5FOuYCLiPRVNJgBp7LNleV1EVn64nm7ddkufO5m/J1ujLF2Ukefzv1z+ysTjJZ2HzpL+J6JdimvHAjJxtVj8xSnlSfWVij7FPdHtIPE5BTmzJrJwVonmGIjkqW0pHhKQapCoEUFRgiv1Ijfl9W4leNLizVHtFfZCSQrzqqaRMp9kMiLEJBtvpT71NZJgt1BZWXlj4IYb9u5h4f+9hcGlQzj0l/8AYvVpm5PGojqcPKESHhha0tvC9w+o0i5d4I0Q3gckPMetLafsk0jhMeBaG4OWmjv89B0hyp/JS3WTDAQIE7nxtnYiC7ORq9evbBY1JaGSUlJDPMG2Nz1bIk2r7Uj1U6itP2b0ATLSbDaYk5al5do20pP6L7fiomJoaioiNWrVzNgwIBuv9cDNWpqakhPTycjI+P7PpRusXr1ar744gtKSrpfbTkZ6CHGXxG987K57Xd/4M/3309h3/4RiXaiCAWEHl65TLF2meh4y0ba0qqK1lTqeOVqQ3KSlTLQx1swuL2IrtVhM+HMLyI5NY5R0+ehT8zktTfeZMmrrzFk6DA+WvEhZrOFyVOmMPPUGcd9SILBIM+9+R5nzj+Tes1nQvYAYVIsZAJNbZ0kOxKwGOFYLpcimiWWh1eW1ykex0t3Ht/UXUDW7Wqjv9q/LUZweUyhMsHv7lLe10L22RTZ39Wtnm6jyzqdDrc3SGO7j0Ofr2X82FFYjAbcnQG8Xi92m1m9LGkzsWP7Nv79+KP8+te30r9/qDKbzWZj4ZnzmX/G6ewq28/SpUu547e3suCiq4hPDw8yISmJVzXh6q4SnJYARcueHzpqHIsf/RsXnnsWdnukDeHXgcUIW3fv4q8P3Edhnz4AvPfWawzs34+M3D7KsYhrIgbi8acuwOc8jDdogJReqm2KyaOIhkE4Elxis5OXbFOR1y01ToWsyJOB++f259Zlu0gaMpXTrEcYPWGy6tp1+MEc8JObHLoW2lLm0L2biiAsV3fdL/n8mo4eIRAIYLUbscWGCEhFg5vayjARE8+WuB5y0Q6Z5OYl21hf7lJFngVBFhNGOZKoncSLFSx5CV/7HW3C3huvPM/hyoNcdsmFUc/9h4RVq7/g6Sf/zfmLrqRw4HDK6loRlLC7SaSI3Iq+TZ7gyM+7aAvifsgVLQVEG5XzCBZvrKDS2aHokEP9X7iUOYQDBxBeldJ6FMsTJXEMMplPiQF9Wx2+dj/m1GT6Fxd1GxBJSkpi7969VLeqCbPs5iI/G9rCQ+I97fMxf0BW1P1Fg3DKkKPJsoRDjlADDBgw4HtNSP+xQRDjHzJ69+6tKgX9baGHGH9NeDs7qas9Akiz/ShJA6Kj0kY3IzJ4oyS8CIhBXZZmyJ2rNrFKq1OWbcYgrMmtc3cycsRozpwxiW1bv+ST1V9w4c9+S3pCDCs/XsGvf/0bpp96Guefe3bUoiJer5ef3vFnOr1+3qyLR9foUvTAwmNYRBbEMW2obKKiwU2Hs5VATBzxx7AetBjVkTaB41m3CchkR06+E9dM2E3JZEiRMHT9E4Ux5j++lqXXjFVtX45gyFFjeSDQ3qfcrHRcHi/7y5pxtXXw4btvMWjICJoaGxg1Zqwq4lRZcZCH//43rr3uBoUUyzAajQwe0I9B/W9hxSerePaxBxk9cRrDJs2hocOvcq1QRaS0OsBuEvjEa0XPmJPPiFFjufe++7njtt+etEFn9Mhh5OcXcGDfPsXt4f4/3c0l195MYd9i5bmSk3aSE6zobVnodDo2bt9FbFYoii3am7w6obWQgnCCnmwN57CFVwrkpWedTk98SlbEtTJ6EjDajFElU4tG5kWQAJmwCggbN9WxJvcmGAyy4p3XGTv5VJxtHWAK+Q3Lk01QT4blfSiRZlso8VeruZa1+oIgy0mo2lUT+dk51oS+saGONZ99wkMPPfSD1xdXVVXx+OOPMezMq/ClFamkKLKWWOtNL7cpxQqyKyBS0eCOKFKTFWeNqNQJ6sRLmRAL5DrMKpmLDLGSdiKQ212qzYTf04KhswV9wEhhXjZJ9tiI30TrYx2dbgxGA369esIg21fKz4ec7LylxglqiXVEpFj2xu5O2iCTYrk/0PZp7T5Yv349gwYNIjs7O/rGeqBCTU0NFRUVlJSUUF9fz8SJE3n44YdJTU09/o+/RXz66afK63PPPZeLLrqIhx56SKkkKWPSpEknZZ89xPhroKGhnrKdpcycf65qKUm77KOy9OqmEla092WEE4NCejTReSgDeKVag9idz6NIsNLKMRw2Ey0dfhy5A5gwvzdBIBBr5pLLrqJh7nxefvY/XH/TLxg5aiy90pNwub3s37uH8gP7aGtpJimvCPPERegM0ZuSKO0rOi6x7B30ezEY1ecarTOU/X5F1FiGbHEHRCStqa5BlKiXSNCTo4vinizefChqaWT5eMU9jpYMJbYle3OKfSZn98FqtXLGmefQ2hFgzboNDB0+QjnG9vZ2/vHQg5xz3gWMGTW822OAUCT61GlTGDJoAI8++ij/vu/X9CoeSuGgkZw/Yww6nU45Zznap9U3al+DJrpuNTFt3nm8/cpifv3b27j1178lL/ubL7vpdDruu+9P/OKXN3Ok+jB9+haxb28Z/334fs6+8ufYx4xQfT+8SmPjYG0LxkAngUAAvV5PWV1rxCRUud8N6t9H8z8Wz8baQ07V+zUxDt579FGGzzobCBHrGHMoAc9ssUY8y5UNbhaNzItIbAIUra/iNlMTTtYSibiVjR6Kxs2mqaEGn9+H16yjKNUeIaOSyX20c5HPSX5PQI56qiaFtlBVyO6kXbIWWyZ9Kz9YxqTJU3/wpDgQCPCXhx6mYMx07FlqgpYnBSHk1Ztoz4a2wJOWFAOsPeSkKDUuTKY1bUXolLXRXS1xFMmU2rYpQ9gQgvq+B7wdpMa00+6uwWuyYUnMJT8tuqVZd4EHtyGWWH8b548fokrilVdNFetKiSgXpav1xNrz+iqQbQYFRhfYo9qsTZ4+E7Mh+LX39WOA1WQguRsf92jw+EzUdvNZUVER48aN4/rrr8fv93PTTTdx4YUXsnz58pNzsF8TU6ZMiXjv9NNPj3hPp9Ph9/sj3v866CHGXwPNrmYAWprUWlZB4oQljwy5dLFYPtKan4eIS/SytmK7ECbL3SWhKQRT05GX2MLlPu3WcPKe6KRlt4eKBjd5KanMueR6DpbtYPfuHRys2QtAYeEAqtxBzr7qbPLSUyOKRGh1bSvL65Rzzk22Ybd6OegM+ZzKxEvbuYm/bxhfoGR0LxqZF/IL7dqH1r9WZI4LiEFIG1XXHrOAHGnfsL9ReX/hiEwWbww5GWgJvHwOcpRafl/r91rb1kGzJ3SC+yqqmHn6GarCGc/850l65eQye+apnCjS0tK48847qays5OnXP2Dlq09xeMun/PTanwH6iHNWGehHkX/IES1xDdes+oiho08hIz2d2397K3lFA7nqkvPIz88/4eOMBr1ez18euJ+777mXzMwsJk2ZypYtpbz1/OPUVk0na9gUjKbQqoUsidEbDJizi/n07ZeZOPdclbe4tkqg1kqvKDVOqVgozhPUCVOje5lpbaxjy/JPGHramcr7S3dW0ysmQEm6VTXhEsvZK8vrmEJqxKRIZNLPKE5TJlOyJr661aOSCM0fUEAwGOTDZa/R74yzleOM5oAizkvWJbs0RFr+H7qP9kWD1hFBft/l9vL5tnJWrfyEW2+95Qdt1RYMBvnpH/9OwOvngllnUK/peBQrTenaaRPfcjVRc6E5zoqzRo3wriyvOyYhlGUwYkIlTzjkYxmb7Yi6Da1bTzAQwOxvxdXUiM5gJLF3DtZeOcp9iZbgJk/wrx6bp8r7CAaD7N+7B483GJHrIiDaRnqCSRl/2n3RV1C0OFE3CoHuxklxPu8se4vCvBwMBgO9evUiNjb2W03Y+rHjwgsv5MILw/Knp556ihEjRlBdXU1W1olLXk42RN7Td4keYvwV0dTUxHOLn6ZvUT/OXHAmHabwsprWjkeGPPhVNLgpsdmVEsICYqYvR2NGF9ijWmzJmFGcpmRLaw34hS2csC0TnZU2SihcErQRJZ1OR0G/QRT0G6QiVqn9R+LzdvLxO68xYNJs9HpDRAa3jKU7q5WBIcEabnZylEpGtMxmgdEFdhWh0RI+bba31u1BTkJSOteGcPRYJggZiTauG5enkCrRucsFR7QkRRuZBaTkL2l5uouYlu3cRkH2TAKBAHvL9rDyow/Zv38/991339ciF7m5udz585/Q3n4J/3z4X7zw3DPMOudy5XNZOylWIuRjEtdNhiDHA4cOp6GyjLHT5pA7eCyl6z7ljjt/T8GE2fzhJ+d+IzJkMpn4w+/vVAa2WadOp6q6lv/+59+sW/17Rs86h7wBw9RVu7oG6ElnnEf93lKqfQZScgpV+tlRuYnYrSYVMZZJs1JeW0rcbDlayTXj8nln2dsU9elL8bxzOepWE56gwcTBWhep6RmKBGZUbuIxte81zeFooawJFRMqbeLo0p3VTClIJT4+HndbG/bY2AhiqtWWgtolAMITMpWsRLKHlHMkZDcM7fUSEwoZYvJpijEzePREHnvscbJzcrn+pl+QlND9Cs73gWAwyB///iTeo/tJn3kl9e2+cFKu5jpA9Gc5WnKdfL1un1Gk/L6srlWJ8CpBCenZknW3IlIs/hbBhBW7a1V+3sJmT5uoJ8aMusZmXE31HK1rxWhNwJzUi8Q4C16dCZv0fArSG60ipOjfBCkW/XF8fAJH6xqxxyUo7SRaAm93ZBvUEgh5oiHQnSMFhAi33ab227ZEScRzub1MnD6HOEMnPp+P/fv3ExMTQ0pKyldKLhPH8P+ja4VIXDx06ND3Soy1+Pe//62MjwCPPvooOp2On/70pydtH/8f3u5vhjffept4RxI33HAjz28+BIQGsk5PG2CMWOqX7crE4LKlxhnVxQDCZFY8iIIUCxsfLfGUI57id3I1OLlIhTwoi45IlgNoC0lUSokh2sE4M8FGbZuByxddwuJnnmby3POUgVZbhlRA2GNlJZjQdyO9gEhSHG1pryjdphyXrA1UtiFJGGS5i3z95CVTARFxlktBC/Isn1N3y43ykri4N3JiTh42JaJZ3+xh3YqlVFQc4qnH93H44D4MBgMTJoznyiuvxGb7ZqTCYrFw1ZWXc+3PriPvlAWKdEWeOEW7dtp2AIQN+3tlkpiUgtPtxRYbz9hpp+NNzaf07Wf5Q+NhfvPzn0VktH/l45aaRk5WGrf85jYWv/spn7+5mAxrEHKnq74vyqoXDx6O52gju79YQdZpZ4SPXbNasGhknrIsLUprawf3YkcM9f5Yxp1+EQCHdq7n0nlzlUF+aLqD2lYPQa9aViDgaXHxxZp9zJ4W1ryJ9hotYU4kleYm5ykTWTHh2n6onqSCoXj1MRHJb2IFJdrKh/K6q92J1/L7cjT7WCtRWvKtTa5yur1YbLGceuZFFKdfxdNPPsFf7/8Td9x+2zduDycTv33oSY7s2szpl/+CUleQtYec3DA+VBBJXpHTXgOtHZ2A9rujchNV0V35mkVo993eiGIXMrQrH4BiBakl136fj8pD1Xg9LQR0RirbTQRtGWo7UE0bF32/TFyHpju6lSa4PF4yklM4criKHY2hJeu0WLPSFuREuO6iw1rpWzSIfUfLu9F+Fu18ZAgd6vDhwykvL//aE/f/H3yOJ06cyI033sg555wDhHyNgR8UKf7jH//Iv/71L+6++27lvd69e/OTn/yEpqYmfvvb356U/fyP3uJvD+UHDqDLHsitT78Dej2tNYdIKx7O0e3ryB17WrfLZaJggjYiBOEoTLTMWgER+dV22NE6sdEFdspq1DZxWmKrjTJAdCIkQ046qWhwkxZrZsfuMqbPno+z2YXDlqJomYXJvDaStbK8jpkFdgwm9SABoQ5HlqNYjGHbKTHhcLm9KomIiNJpS4nKXtEQ1tOK6ycKQuzZsZX33nwFd4uLuRf9lNze/XC5vRHa4pIcOyU59uMuBwqIZU2t3tVuMxEIBNi3+QsOfvkpR48eYcz4ieTl9+aic8+koKDgpC5BJyYmEmOLY19VJfGpWYoVF6idQrQDqHbCIMsr7FaTqh3Hp/Vi/jW/4Yu3nuMXv/o1iy46n1GjRmE0nrzu5ep5k0gzdrBp3RqmTp7EhvWb2L6tlEAgwJSpM4AE6tt9GIwm8gaPYv2GNcQlpuDIyI5ox4s3VijtU0Zusg3KQ22tw53M8y89x3kLzyM2PoGC4hLe/+RzfOZUjDFmpYhPe3swfF26iKanJUR2jgZi2Lz2U4aNnaRIUUBdYc5hC1/LZdtrVfdBHOPuzz8kbXJIUhMtWlmSY1fIdLSIv6xpjZYYJeuvITzZlpPsxERCuU4ayH1DTIyJq665lkcf/jt//OMfufXWW1WFhr4v3Pf481Tv2MjIc68lPyMNpy6kB166szrCoUOGeGbENRB9h7a0+vEs1LQTKG0lQTF2iAIhcpReEGII37sEixGD30NjQz2eDi86SwJVPjvo9KqRPRqhd7m9uIgsTiL6YK19nMDuGg+NdS0QZyMt3qbKexHXo7sxbkZxmoq8HivhXJ5wyOcu/06guzLOKlkHUFBQwLJlyxg5cuQ3siT7XyXJp512Grfffju9evUiPj6eG2+8kSlTpvygkheffPJJXnjhBaZNm6a8d9ppp7F48WIuuOCCHmL8fWFPWRm+7dsouuwP6A1GEnNDtjm5Y08j7+gGoB8QHihlyzWhQQSiFoEAtT+jeAAdNpNKVyu2cawSyccqOSx/7nSHIxZigBWIcM6QHA5EZ/tZ1W4aqlsxmUw0Vrdh791H0Z+JiJh20Dlc30JqnI2EKIO8PDGIFpWVJRnyb2T9tPy+GPCFfEXA7/fz5eoVvPPW65x21iXofB7eX/I0E2edSe+p41l6zVjmP742osiHWPKWl0DFsqO2g9a6iLg8XrydnXz66lO0NNVzxaWXMmr4kK/kGf11EJucTltDLfGpWarBVkC0I7HSEK0SlnJOmoilvJ1zLruOtWtX88yLS1j87LP85te/Ji/v6yfaCIj2MGX8KD5+/22u/cnlFPbuw6iRI/B6vTz0t/vx6kw4svKxZ+WTXlRCZp+BtDTWcnhPKQzIwuUJ3TsxaOcl26IuAc8fkMXvH3yYPqNOIbv/UPZ5guBxMX9AFv72Fib17sXidfuwJYRWRYaYw/dOTMSKE22s27Of9MJ+7HQ2klG5j0PVtYwaOz5C1gOoSLo8SQkGg+z67D1mzplLeqLavkVcd0G2cjVymO4qkQmZkVZiISAkP1pd66jcRDZUhksdi2dQSAO0z57BYGDuhVfz1qsvcfMtv+GXv7mDgb17Rbm73w0ee+51dq9fxexLbyI+KZwXISbc3SUwTilIjVhV0UZ55Upw8mqM0KrnOsySFZ47otAKhNqATBpFEQ4BOZDR0NxGY30dRzrdpCUn0qtXNh6fXllh0I4x2khqtDLWghRr+zDZF9xhC8mRrIEYdM2NzBiQGVE0SJtkJ/pIcSyyZllO1usOSj6E1Ca1xY+00E4ExT4hlLS1bt06Ojo6SE1NPe6qXLRrIt7/X8Nvf/tbWltbOfvss2lvb2fq1Kk8/PDD3/dhqeByuaJOapKTk2lubj5p+/kfvL3fHg4cOIDOaKJgzlX8fHKIAFc0uMlLtrG5dDttKadEVEYSD5U2wiAiPHI5Xm2JS9EB5ybbFAKbFWdViIz2gS2tcinRYhlyIQnxQGsjyrVtHRGdXLROQRAjuzXU+eT1G0xuso2qI/U0NtSxf9dWEjJ747CZlePV4mCjk6ykyEFSdGDRCLHcycoDsxyJkxNmZGspEU0W19NTvZ//e/I+bDYrd/zu9xT1zicYDNLh17Nr0+d89ObznDJxMjpPFhhiWHjPs1wzIhmv3srgEWOA0P0T1ZrkCIhMHGWSAdDW2sJzT/ydlEQ799x23wmVKj0ZGDWgL+jdXChdQ1FaWIbs/ytPIuRovIBcNEWQjDp3J71LRlM4eBT+gxv5818f4p8P/kWpa/9N4XA4+Pvf/04wGFQmE0899RQ+rw+vv5P6g3uoL99Ny+613Pqb23l9VwBLbIJCAKIt48qkx+n2EuetZ8ip89HrDcQnhSeeoW3EkdXcjLGlnoPle0gvLEZn8BJr0in3OA8bfVN60XZoF/U6HXGJyWTmZpGZ24eXnvsv11z9E9XKiCyrUM7TZuJw5UGaag4zfvocLBarOgLs8SrXXZAtZZXEE3ae0WqxxfMt7q+YUELkZEgmFuKZKkqNUwikNtoXG6Pjg+UfM3bCROW3er2eyaefTV1NNf/9z7954J7fn9iNPsl49LO9rHrnVcZc/HNaYuKIR+3dLFvUaTW7cqQcIpN1ITyZkftpOWo6f0CWEh2ubeuIyC2BUD+llbQJlFa5CAb8WAJudtVWEGs1Y7DEYkpIJSkllpdK1TkO2uqeENmXa0kxqMuUhydO4citeP7bDVb6GVuUayTGMvmcxTblRELFcUfTX2rPWQQ0qls9EdHiCs2ET0tQLUao1MgFZXT4dQwdOhSdTsf777/P9OnTj2s7+b9IgqPBaDTy5z//mT//+c/f96F0i1NPPZVf/vKXPP3000pFwyNHjnDLLbdw2mmnnbT9/H9yy08ODh48SHxyGoV5vVQdy+YjjRwqq2DM6F7UHjmMMS2Z3OSQuFfbIUXrWEty7Md8+Cq7vDEhepRY+9uidJsqYS/ajFcmy0KiUVbXGkpG6vosWtWiSqmDV5YP3V4S7Hb65qRQumM3hRl2nn3maabOu0BFnIT22BD0KQ4DonBBdxGbaC4Q4phl39VQNacQyeluW3mGTj5562Xqqyu48tJLOOWUUxSCpdPpuPLcOXDuHGpra1m2bBnxm55F5/cS1Ol552gyLa4mdHo9Ywb3ITn9+NEvJbLUAIcP7mP5a88wfGgJl19++UkjiyeCnNxcPlqxgmAwqLqe2usaGkhCEyZtFj6gVJCDSJ27vCTcLy2eJtt4+GglT778NtdcuOCknYtOp1NJTXbv3g06KMjN5vDhw7S52+g9ajh3/f4Obr71tzzy+udk9x9CrCOZPKkMrbyELGP15t0smHUqb+06wtB0B3nJNpUlWkZmJvn9DAQctZjMFhqbDpLkbmXL/l0k5Raz9eAR/H4/+oxwxa0NlU3MKE7jvIsu5c23lnHKuDGYYh1A5PWF0KAf16eAensc6RmOiMiYqKh4LH1qNJ90eRIeDdFcVGTS3V1i7WtLXua0WXPIzOpF5cFyWjt8tLd7yMkrZMVbSygZPZEvV73b7X6/bbTUHsbqSCa2q0+WCT4QdfJQVteqmjRp5ROyTCwrzqoq07x0Z7XiTHHD+IIIeYX8O/FajCeLRuYpx7O10om/oxWfuxkCfrJzMtCnpKA3GCirbCLNrIvYtiCk2nFHTqCTxy5t4EIb+Rf6fQi1qfnWLJburEZnMNHR3o7ZYomQTggyLF9bsW2BaEnRYh8QjjzLkopoY6ccDZZfHxNGC2YjTJ06lc8++4zZs2efwI968EPAY489xoIFC8jJySElJQWA+vp6pk6dyqOPPnrS9vPtruH+j6GkpARXdQVHdn6pel+n1zO6qA+Nu9fjiPGTaY/hmaefIkYfoL29HYsxREQ7juzGEWgiNz5ITpJk8+T2Htd5QovusmVl39/jQWQkF6XblMFC7uSEX2llg1tZntUuK2oT84r6FaPX61lw3iJWLX+PgD9UaEKlYTXqFGIMROgqZSzeWBGV2JfVtbKhsklxJZARLUp9uHQd//37XTjSslhw3e+YNGlStxKGtLQ0rrjiCp5/5mnMp15H88Sb+MvfHmLy1Gns2rSa3/zmt+wq2x+xBCgKUWijNWtWLOPNxf/izPlncOWVV36npBhgysQJdLa7WbXy4+N+NzfZRklOqDpcXtcSvZDN1LZ1qAizTOrSYs2Myk1kVG4iZXWt1Hm8jJy5kM+Xv43Xe+Jt8qvA7XZTVVVFW2sr5eXl5Ofnc+aZZ5Kbm0tmVhZ3/N+tWDua6XS3sW/jZyrCIghJWqxZ5UwRDASobAwnyYrKlaJdLt5YQXWrB0tsPAajiXpbJmZ9gFa/iU8/XYWrci/6tiZscfGqdrhidy2VjR5OmTSVysoKEqxGVSEZQQhEyXKbSUfNoQORWuEoxNYpLTMLp4DSKpfy7IJ6ZUXelhzNE+03N9mmTH4hTG7kyY/dZiLeYmDJyy9x1tnnEh8fT8nAfuRkpZGVloy7rQ2D0cDN11/N9DElNNbXcejQIb5r+P1+PPu20Cu/D0PTHaHSzVYTWXFWsuKsqkkgEDF5EG1Dvu55ybaIybcoAvLPL8qVNnb7jCLV/RuVm6i0pavH5kUlesFgEHdbGxu27aG9vpKAt4OYhDRGDxtMckoqeqnv2FLjVPrroemOEyLFQlIkIKQxizdWhL/jVrcTcZwrdtcqpNpoc/Du5j3HzbmQ7TJlaCWE3SFaEndJjj1qQh6EV0Jlz+jappaIbSxevBiTycTGjRu/FzuwHnw9pKSksHr1ar788kv+8Y9/8Nhjj7Ft2zaWL19+Uqv29USMvwIaGhpISs3gugsWKoNnGA7Se+XgsJlITLRx6eVX0tTUwPr160lKSlI8FP2BAH6/j+eefYZLL76QbVs3M3jIcGrbOlTJN8KSTI6EZsVZT0j4r5VSQPdVheROU+CJtRVKsoQcRZE7MbHEJX6bnqCWFADMnj6JisPV7DlUQ2tLM5PHjWJouoPGI00RCWYimlzb1qHo+sTgI5fZFt+NljkvR3VENDs32UZV+V7+sPod/nzv3eTm5ka/aFEQExPDsz+ZrPx9zU+uAuBfTz3Ls0//m1Nnnc7AwUNJS1Ib5dttJkYnhJIiW1paeGT1h9x3333K0s93DZPJxKVXXM1DD/4VR+Fw9Hq9yiZJa8kk60a1ESSRdCYg6yq1yURpOYUkJKWxevVqpk6detLPy2KxMGnSJFatWoXX62XHjh3s2LFD9Z14g5ftyxaTMulcvvjoA7KGTgwfn1QNrqa6irbGo2Rkh8iFrC2tbeugKDVO5bYion1+nRGCQXILelNXe5QdW7/k9t/+WrmmWteCFEcs1UYjFiM889IzTJs+g5qaGkaNHqOSYFksFvw+P862TnQ6nRKtFZMuizGcExCNXMirOtoIP6BUaIuG+QPCWnTtUrbAKy+/yMIF85gzd67qWXY4HOhivJwyfpzSbpKSk5m34EwefPAh7rzzdyQkHKPc5UlAMBikvLycZ974gIodm3AkJnLZdbdgk66vgLhGgrzJ0hZ5gisinCLBTo72CnIJkdUNLcZwhB9Q9LrtvtD9U9qG30tzcwPrN2/DHTQSMMcTtCWqCoOI49CSURGx1j6r0SZRYgJ2dXqeqsgMhCLJcolm8Xtt0vHQdAdbjjaR7O8EYxB0uohy192NG6CefGgrN2rPbWi6Q5Wsqt2HQEQlvK7PAoEA7771BsNGjqa1qY4Jp0ykpaWFiy66CIPBwB133MEnn3zCqFGjespH/0iwZcsWLBYL5557LocPH+bll1+mvLycOXPmnLR99BDjrwCn04k53sHGKqfq/Wgzf4BYezJTT50dWlrVqwtaXLLoMvT4yEiMVSXciY5STs6INkidqO5JrhSkFEYg0jrIbjOxKDmsQRWdvbDv0ZJtsX8XIT3dyi4LZzkakZuaSpvORmJGDk3uTry6ABU7N5GelqrqDAW52vfxUjLPOI+G+lrApgw+cgRAPg9QG++LaysIMYDP5+Nfjz7G5Zcu+kqk+Fi48uJzWb58Oas/+ZAXFz/JNddeT58BQ0PXw+PFZgxSd/ggVZUVLP/gfSZMnPy9kWKBkoH9MMXEUF2xj0EDB6qrcIGq8h+EJjqinQgSJpZUt9Q4lWhod5XUBMZOOY03li77VoixXq/nZz/7GT/96U+pqKigsrKS9PR0XC4Xf/3rXwHYtGE9AIff/Tdx/ccTDPgIBgLo9Hq21DiZ35WY501Np09BLoYuG0GZIEVL0hOJpT6dgc7ODt578zkuv/wyFsyeAYSXdaOR19EjhgLw06uvorOzk+zM0HOtlT/kFxSqSDFE+nprI5zysQpyLPqU7iRGWsiR9cUbwyWrZxSnsWJ3LctefZa5Z1+CwRyLuN1ysl+0pKjxU2dx+EgNv/v9H/ntbbeTnuw4oWPpDn6/nw9XfsGyd9+h8UgVJpMJr86A3mDCatTR3tFBRvEwFl5xI0V9euPy+JCvrqjAKfvwytdR6+QgpCjiXshWe9EgJo+yy45MVCsb3GQlmBiaFKTZ5aSitROv3swev5mseJuyD/k5tXclYctYNDJPVZ1P1Tak+xBtvJDzDES/L2RD0YqUCNK/pcYJOh2dBjPjM230yU5TJcUp+9esJh6rIEi0z2RSrD0f6N7VQkxoPB4Pn7y/jGlzzybg9zOwXx+CwSB7dmyloKCAXr1CcrgBAwZgNBp/0EVpehDCc889xxVXXMF//vMf8vLyGD9+PDabjSNHjnDHHXdw8803n5T99BDjrwCPx4PJbIlIlIHIGvHywxprNkSVOBiNRjo6OtiyZQtzhw5V3heyimh2Z9E6OBF9KK1yRRAcrY2ZgHyMckKenLkPas9lrcxBG3EQS5Nify63F51OR6sXmjqDJCVZSc/M4vD+XWRlZfHJJyuZOO00XLWH6TDGM3bmApLMeiq2bye7dzHtAQNZcbGq8+gO4vprO8kVH76PzWY7qcTMbDYzd+5c5s6dy5ZtO3nob3/BYDASYzaTnl1Aedl2UpKSyM/P46KLLmTMmDEnbd9fFzqdjjGjR+E+up/cSaNUn3Ub2dEky2iLV6TFmqMOaHL7GzFiBCtef5b9FYfonfft2P7o9XrKysp46qmnIj7LzMziyJHQ8q9z26fUbFxO/KW/xJGRgzHGrBTQ0Ov0/PPJp5hz1kXKuWmfPVHZTIZfZ2Tbzt1MmDwVj0+Hxxe6WHJVwe60ve0+ePbZ57nw4kWq98WzabTGs2TJy4yedga1bR2K3ZUWDg3pknGiZHj+gCyV9jTXYabS2UGls4Pb3y9jbLaDGcVpHN21ieGzzo5IwjseEuPMnHvRZbz35svc+subOGXSZAYNKqF/vz7HtXLr7OzE6XTicrlwOp18uXM/Gz5ficUWx6RpM+k7YDCry2vYcKCR9Dg9k3ITwZ7KUXcn/boi/1o7QtGfiGIZ2qJIWtKl9CsN3Vcc1UKbzGy3mRgQE8u+qqM0HWnGU28gPS2V/N59aT3cgr9ru0LWI45Du2IjIKK7cr/enXVZdxArGyK5WRQj0Ua+oxHlIQW5GNsbcbkTI8Ydcb4i6CPGNDGpVt2PrudDPjclKdKtdvYREBN3EemXE9cP1Lawv3Qd08cN5fQz5lHT6kdvMPD+sjfp378/9uQ0hRQDpKen88EHHzB06FD27Nmjyj3pwQ8Ld999Nw8//DAXX3wxixcvJj09nXXr1vH+++/zs5/9rIcYfx9ob28n3hapXxVV5URUVZsxK3dW6ZoqPenp6aqHFMLexNrynCcKubIbhJP7ZF2yIOrRBlp5OU0eLOVIoRbi+ITGS/xz2EzKQGIwGElOTiE3ZRS1nUZyi4dgMQT4YOcBMpMc6HQ6TEn9KBw2kaOHK4kxW9iz4UN6z51HS0dQ2bd2GU78LWfWi3vwxdp1nL3gjG+toxs6eAAP/v1hXC4XLS3NbNq8hamnzWHyiOJvZX/fBHE2K+72jojBVkDcX3G/RuUmRkS6BKpbPUr7kiNu2jLjSXFWSoaOYNOG9d8aMQaYNm0aNTU17Nmzh5ycHAoLC7HZbIwaNYoXX3yRzZu3cORINUajkS9feZS0rFwKTz2PuKQUZSI4eOoZtDgbiXckRT1PQQYHJtk4uG83mRn56HQ69L4UklNSVdfK6fYqy+d2mwmHRxrcuyJ7gUCACy66BIPBoJAon8+HzRhk4xdrMZutXHXpxUqUUPbRlSEXZAlp7kPfF7pv2ZVDdmnRlk4X0XPxPFU6a5TP1x5y8unuKhw6K8nHiKx156MM4IiN4YKLLmHa9FN5/4MPeO2NNzhSVUFsXBxFffvQu3dv8vLyMJvNrNy4k73bvsRZfwS3243FFktsXAImWzyxjiQuv/o6jEk5JMaGchU21dWij0/GkmThtHFFyrVaWV6n9BviOkVbco9W1KaiwY3DY1JF8qMFKwTkcvVbapzK6lkvh5lml5ODRxoJAmmORHQpKSTGW5Tr011542ikENR9tDYyrCXHx1tdFJ9XOjuoamxnQqFdpVcGtVOQbJe5a9cRenVZFobavHrVQxxLtCJJIAWUJB9tcd0iIsRS9NluM5EWb8Tl8fLmS4u56rJL2P35O9jzBlF75BD9Bg2n0mMhUR8qRFKUbqPo7LNpcLXS1tYWcQ1mzpwJQHNzs2qsOOGEvh58Jzh06JByr9555x3OP/98dDodAwYM4OjRoydtPz23/CsgJNJXDwiiQ5Ur1MmRNkVy0LXMpE2a2759OwkJCezYsYNx48Yp25UrbI0uiN5pCliMIUKqjWQoVeu6lsvl49L6JUfzPU1PMCkuBqJjFIOC3FFePTZPOS9hWaQtIiHg93XiCgBGSExOZXtdB70HDouMwvfKpbatg+FjJ3Ng7x5i4+LITUnD41cnrsklnCsb3MqgLyIQja1urNboZP5kITHBRmKCDchk8IB+Xzlq803g9/v51a9+RUFBATfeeOMxv+tsbsHj01Fd14g9L5yoINwoQJ0xr/Uw1UY9hT5TIRVSYRW5HWX2Hcxny9/i3LPP+qan2y1MJhOLFi2KeN/n8/Hxxx/T3t6uvLdw4ULqGhr59JkHyBg4iuwh40nKysXT2oyvtYERfXNV56odzP0+H87Gevbs28egMZPxNxzh2VXv86tb1ebyLrdXec6ilbx11h9l27ZtTJ8+nSP1TtZ88j6Txo/hqMdDjCMTl9NJdfVhSnJ6qWzDVuyujShjLBJlI0qrdyVbRatwKEMm9SJqKsjM7//9ErpeAznw2Vtkj5rGunc/wNF/HItGRhYOks892tK33WYiPSODBedciMvjJS5Gz9Hqw9RVV3Bg/z42bvqSvWV7SEhMZurcc0nPzmds/xyqXZ0R7U9MyMS55SSFiaa8ulHd6okoYw0cc5leS9YEZEcLeXVN662uCwZI0LfT1txERZOflCQH2XkFqqI32iS37nx5xfGIMSErztrthPXrljC+9IVwpU+tp7GIKIvjlPers8SzZe8hxWVFBF2inUu0461ocLNlp1P1nsqTW8576JKy+LxePHWV1NXWgC2JSXPPY1+jj3PPvxCA0qrQsda2dVDn7gTQtH8dRztcUcfVPn368OSTT3LVVVcp7/WQ4x8OSkpKePLJJ5k9ezbvvPMO99xzDwBLliyhX79+J20/Pbf7KyAlJYVdFSs5sKaCx88tUd6XIxDRZszREtQEZs2ahdfr5fMGPUuXlmI0WyKWsU4EIllNLFOJh16WcKg6Jo2MQhy7tjCJOAfZRxjUsgrtOWkLkUB4ybK5zYPLbyBoCusexfe0fpkAbXozGz5fRXZePhmpNWRlZROf2rWEKEVT5Hsgk3Gj2YLHc2LLyScL32Unun//furq6jh8+DDXX3/9MSPjffoUsWTJK2z8YiXX/fzXDBsyKKoHKYS1tUKHqYWsMRbLqHLUTdbV5vUdwDsvPsXRo0e/UcWprwOj0cjixYsBaGpqYs2aNQwaNIi0rFzmnrGA15a8zNrn/84lV1yNc9d2Llh0GZtqw8mu2uhgZqyF9955nTPPvpCYYAdrP/uEcaOGMWvWTPbs3kW/4v60tIeiVBUNbtIT1FFZQSSL0m2sX7+e5PRMXnh5CYUjpnHWOeeTm2xT2nJsbDxGo5GqykpmFOcqiXwiiu2USIPs7yonVrrc6jLyIoEsGmQp0ordYZnU4IElNOtjKLjgCgCKC3N46+WXuMsRw6UjclUyBNk+MQ91YpU2iUxJzuvXG/r1ZvLUaTjbOrnxJxdTUjKUvoOGA7DzSJvqmOVJmt1qUo6zqrGdnCSL0h4Fcc2Ks6omEA6p39DKr8T1kgutyI4Ozq7IupxcBqFn3u/30zvBR0VlPXqC+Lw2cnJyCOjDDjza6y3udXcRY7FtuY8V1TSPVeAiWv/eHWRSLCYX0Y5BNZZ03VdLnJ1m50GaCPUHZTWRkzMBuR2K1T6535F17dqJhjJxaACfz8v2ijoWzpwcNflUyAoh3I9pJ4a1bR1RI+s6nY6rrrqKd955h5kzZ7Jx7VpGjj3la084enBy8Y9//IMzzjiDe++9l1/84hf06dOHu+66i3vuuYelS5eetP187du8fPlyPvroI2699VaSkpI4fPgwb7zxBkeOHCEhIYEZM2YwYsQIIGSr9Nxzz9Hc3Mz5559PdnY2jY2N3H///cyfP18VKQW47777mDFjBiNHjvxmZ3eSERMTA4HQE3L3ipDuTl5O1mrC5IFQC3kWajKZqPdbOLJtDTkj1VrY40WLQR29lSsMQfedpxaKHlKjK4XoncGWGqcqUhwN2tKydpsJfZsBZ4tJRTjkpeqh6Q6V3iwrzsr5l12Ny+Pn6IGdLHv9RX5ywy0kdS1DRusY5ehzmS2W1tZjR8t+zGhtbaVPnz4cPHiQxsZGxdsRQtn5a9eu5dChQ7z66qtccsklPPavh3lj6TLeees1sGdiMBhVg5OcPKktACPfM9kBRLH1sqoz0cNkxsTwMeN54bW3+OV1V38bl+GEkJiYqMpcLszrxS2/+iUffTaBFxc/SWtrG5OnTKXiQC15A4YpNoNbapzKoO3r7GD09DMAsMXGMW3WGZjaG6iobabR1UZjYyPbduwmuXCw4jQzd1CaalLa2tLM1qN7SUrNwJ6cydjCwZTVteKsa1WTzORsEqxGlix9h5qWTioO7GPhGbNYvLFCWaqXi9pA2D1B+77yuUYyoL2H0WQCrUYrpcvfZNjMUMT/stGFfFF+OhU1TiBX+W20CbGWhEfTjMp67CPVIUs3n8+nqsQpe2wLyEm5gtBpgwravAhVARQp6iqOSeusIn4j68TlPl0XDGDxe9i7dy9ef5AEuwNXTCIBnYEtjTrmZsWo3Hrk/liezGtX7LSOC93ZomnlehYjIJ2X2IM2MU9AHjueubBE9ZnW71ysfqilgTZMbhvNrT4wGBU9t1wgSJ5sCMgSPQFZ1y6frywbSbAYWL70bc654GKg+wqv2toAsgZZW3VQPkeB0aNHEwgEyMjIQB/oVCY3PdHj7xcjR46kurqapqYmkpJCkrczzzyTRYsWnZQqqwJf6xY3NDTw6aefKn/7fD4WL15McXEx5557Lvv37+e1114jMzOTrKwsvvjiC7Kyshg7dizvvvsuV18dHhyXL19OSUkJsbGx3/xsvmVUVlYSl5SCl1B0oqrx+JqWnCQLi4ZlR63CA/D4moOU1zg5vPkz8saFtDOVzg6lgxcdl1zxTobcsc0fkHXcJTnovsyl+AyiL8kJHbG8z+6qF4mMYuGBLI6ps7OT1HgH1R51KWoxSGgJWFqsmV179tHUUEu/vn0YM/V0dlXUcLjyADOnnEKCJZRN7LDFRJQrTos106dvMZ+t/lxVW/1/AZ2dnXzyySccPXoUj8eD3++P8Ec+cuQIDz74oPL3unXrmDt3LnNmncqadet47p/30Hf2RdgcITItSIRWGw6RhEnIJeRIjGzaL08UXR4v46bM5JE/30ntOQtIS+u+lPn3gekTxzBh1BDeWvYuj/zjQdrb2/nNnX8izhYXMfAeWv8xI846Hwhdp7f21JCic+MNNuHCQdleJwsG9GbttlIMGX3JiO/St9pMLP7vf5gw6yy+3LyZrJx8po0ZAoS1w9qEJIBth5opHjGRYDBIbnEcz77+LuQOBEL6WeFKIO5VaZVLqbgI4Qix1oNY4Hge4GKi3dl+GgUxfuyJyZRWuciMDbJ712ZWlmce8/da2G0m1q7fxO7tm/8fe+cdHkXVtvHf9s2mbHogpJAQQg8t9I6AoAiIAgoIAvbeK9gb2Osr4PuqgNjBgggIUqRJB6kJBBIgvZfNZnez+/2xnMlsSQGD6Gfu6+Iiuzs7c2Z25pz7POd+7oey0lKqHWBzgE6jRoWd/fv2MmjwUA4c2Mdrc19i5BWjiW+VwN6jp6g2lZB6OouTJ0/gn9AZY7NoDxIrNPLuRSHcAxTOHAhnnyPp4t1WR3rGGdlxsqRGHndOWmGvtlFaVEpRUSFBFhPNQ0KJi4vChtOGz55eI+Fwr+Ipd1rIdUu2qw1ykujuVeytnxbkWA4hp3PPcRHoF2+U2irXGgvIc1z0atDL9uMfGEpgeT7F1NhWiufeW9El975EHmBZtCtdIscC7249icNuZ86Ithw8dIQOg690+f3A1cZQvtLpfm3k9QLqIrj+QWFo1U5pxaeffsq0adOoqq7dsWLXrl3OwFkTLjoUCoVEigE6duzY6Me4IGL8ww8/0KlTJ/bscRa6OHnyJJWVlYwePRqNRkN4eDgHDhxg//79REZGYjabCQsLk/6Ww+FwsGbNGq6++uo/fzYXGb9t3sLMayawskjP6UJz/V/ASaBfXHccwEV+MevTLSiUKgr3/UrXy8cT02s4L4xMZPaqFK9SCtHJypeY3KMI7hWN5HpRb6RavuQmX3INNGg8ylPLIRnYr0phWtcot+hg7XAO1t4Td7x5qkq+sT4hRLaNohggKAB/rYKwZi1Y/vXn9OzTnxOpxwht0RKFPgCDrx/Hj/yBTu9D+dmjXH3FaO698yvS0tKIj4+vt41/d1gsFlJSUli2bBlVVVVkZ2fTvXt3zp4965Hd36xZM2688UYqKytJP32GNm3aAU5XjVdeeJYvvvqGNcv/R/J1d6L18XWZoBSbrJKHanqBSbJwignUSUvJgnzJLc3c5RQCKt8gegwawYuvvMqrr7z4txtE9Ho9E68dz4Rrrmbx59/w9qvP07Z9J7oNGQM425p67Dj9uvQnz2RxIbGnS6qJNTrAAWcr7Ly/v4wYm4rw6mpiQwwcO36KQ0dTuGH6DFb9cQaHIZAzGFw0o+C6nC6unZw8FSsUhIY3Z5SbrMmp67dKhNAlgnxO2uBuO+cusRjWNtyj2qGUn1BppaO/gtLyMoxBIby39ST5O1cR1tPVN1RMrISkwt1JJsBHzddfLGXTpo0MGz6CNq1b4XA4yCo2o1WBv07J5Ouvo1mzZpjNZlatWcviTz8mOysTjVaHpaqmz+3cPM7luCJRUFjKyVerJJmJW3KiuLbiuqcXmFy+Jw8e5BeXYy0roLqqAp1Bi8HfiDE8mv3mQgrLoZ9aLQ2m7rIzOeQuP0L2VlvQpC7klLrao+ndCK876autfNTguDC2pJWwJc1zC9f30hkcFya1Vb5/u9oHdbWJ1hHNSM2v8JpfIs7VXTIiJ7LuLh4xgTp2bPkN/4hoijJSWBTsg7mwiJbh0S7byZPL61rB3HGyJvfF23goh3xsnDRlOt8s+45u3ZM5cuQQiYlt0KogNjaW4uJi1q1bx8iRI8nJyalzn024MHzzzTdce+21AJIsrjZ4yzO5EJw3MT506BC5ubnMmDFDIsY5OTmEhISg0cgSbpo3Jy/PuUTbq1cv5s+fz48//sjEiRNd9jd8+HB+/PFHevXqRWRkJH9XFBQUkJ2VSaekznTT1CxDgqd3p3hfEGJ33PzZLizFeaj0voT1Go1CqSQmUIfZBi+MTPT6HTGbr6/SkID7rFwsHwn9sV7t7Cy9RZiLTVZScky1kuMxbSL44ZizE1i09wxj2kRIZaTlSUKiEpcYaB0OB+DaYXaJCHQ5p9oyvgVJk5K74sNIjQhFp9cT6xNCxokU4lsG8fO3i+g/6hq0Oj2quATQGIhv3YYNGzb844nxjh07+M9//kNISAjdunXjmmuuQaPRYLFY+P3330lNTSUxseb+USqVtZqeK5VKrp80gfLSYk6v/5JRN9zt4ZEqJzfTkmN5YW0K4LkMKtdi1pZFnxRtJPraa3n7zZM8+PyrvPn0oy6JSH8XKBQKpk2ewPgxo1j23Q98+Z9XaHPFVPBrAQoFv6eXsjvXzoSkZnx9wLliZFAquTIxmBbRNdcoXRlM1e+rGNRyPDabjT79B/HHmVI0Wh3NY1t5RNAEORbX0FuFSQBDq5YsXbKIyOSRZJZXsvaoU6ohJjW5FVXszCiSNP0CEQYFeVkniO7gGV0RZEVod0Wkv7SkhDOnT5FXVEqAMZB2bdry7Ip9WIpzCE0eKUUUxWTd3e0hyWDEYrGwaeN6tm7+jeLiIjQaLXNfedkl4uMNer2ecWNGM3hgf1asXMW6tWuIjG7DoCGX0blbD0w2hdS3uOvj3SOwIoIuZCOCuMv7IXHtRGEPh8PBicwCCvJyKbSZ8dXrUen9iQgLJ9BX55H8JiQzAnW5Oni79gLuspjaJAXuqG2J3xtRFKRa4MnLElzGqk8nJ7nojgGJPMuDOwLNjFosoUaC/Ryk5jvfk19buV8yuLbTvSiUkHLFhBiw2WxcHj2M8PAIXvglgu8/nMfom+5HqVRKEkP36HBtOB9S7A1DLhuGr68vQUFBUF2F3W5n0aJFTJ48mWuvvZbdu3dftAqf/3a88MILjB07Fo1Gw9NPP13rdgqF4tIQY6vVyo8//shVV13lMqhVVVWh17uK9n18fCT7jLCwMB577DFsNpvHdm3btuXYsWP88MMP3HbbbRd6HhcdO3bsoH2Hjmg0Nd6KcgNzbwRz/sQkaWnodKGZmR//RlSwD4UH1hPSbQT9WwW6bC+SDurTMLnr5kTnKr4nd8gAXDSEQvcIeAye3ooReOtwRackyPG+nGKJbMu3cfdutldXo9OoySyuIQW1JXYNaxsuDQpy3atculFpV5F+TtMW0yoRGzD8mpoHI7eiioy8AnwCQvnll1+48cYb/7H+lMXFxbz33nvc/9CjdE3qgNkGDuB4npO4Jvcbwqr1m12IcX1QKBTMnDmTex5+gm1bNtImeQDhvjrpN4n1kh0ul/kIyAtlCHhLalIqlcQMncD+Hz7lxZde5uGHHsRgOP9o2V8BPz8/pk2dTHyrBD6a/x9m3nQLLbq2ZsWybwntMUoixQBdY4PIL6mgRbSzDPALa1NQKJXcftN0isoqUSigrKraZf+Rfj4uVmqCKO/MKJJeR/r5kBjmJ0XpSiqtaLU6uif35FBRPmh8XQi2KMKSWV7J94crsWWl0altO/b8+gOzZs2kIFvBok/+x9RpN1JVZab0zFF6JXejuLgYhdYpZTOo7NjtdpZ/8Sk3TJ+BpaKYPj3luR4O1AYj/ROcCWDuSVJQk69QnJ/NU089RfPIFowbOwZjcDjNmjfHWEtBJDlycnL4dtl3bN26hXZJXbnrgcfxD2sh9bnCjUZejGRMmwgXch7oNkmT64Tdtb65FVXgcJBXXISyIhe9spqiKgV2jQGHTzAlCgWJIX4uQRCjQSP5P8t/B2/9t1yKIEhauK+OjAITMSEGr65AcohVGrH/DJlsrLaIs5wsSuOUl5yXmBCDh75YEGC9Gg+S7A2hoaHk5uYyumNLybZUHljxJt9zJ8Xu5/LTih8YMnQYCoWC2GAf8rsN4my5nbPlxWSWV3q99+RSQLFffYDGQ1pTH9wlJ/pAP8w2CDb6As5nZfr06dLnHTp0kErUN6FxsW/fPunvkydP/iXHPC9i/OuvvxIeHk6HDh0oLCyU3q+t1riIEIIzO7y2CNHo0aN566232LdvH11khS7+LsjOzmbpF18xeNItrD2aS2KYn0c1OTnknZvwtnx/Wzq28iJOV1sJ7X45d/aJdUkQEBEFEQECV1LqzcdYeAZLNk3n2iKvVCeSVrw5DOzMKJLstowyEi3+F7Y73rRacnIsigC8MDLRa8TXmSRjxWqtQqfTAdXSOQmSLpd+hPvqPKp7CQgdsdFHQ2yIweV8vCUQnd63nfTD+7jvvvv+saTY4XDw2dIv6J7ck3btO3gdUEKCAsnLOX8fx8rKSvLPniL/7CnUZVk0HzAIhyoMhUIp6SqFxlKeHBMTqHNZMhaFMgDJ5k0kXUJN9Eut09N1/Cyqdv/MnKee5onHHyMkJKTW9l1q9O/TE6MxkFfnvsjtDz/L1i6XuXz+5GUJGH00nDqRQonJ6hJNn/vWf+jQuRtRYQEEBLruV2h35fe9+2qQ8JEWz4IgDdkWI6NjfNmUYSazvJIVB3Ol/YkJ5fFdmwmLiWfv2XxGXTuVDccLQRVOiz5XcepMNqdSD9O8eXOUSiWrVq9h0GUjyMlIp7w4Dz9FB26c6bSrapWQ4NImld6P4sPbyIiLIiZQ5xIQcLf02//HYVoltObRRx4+r2u+fece/vPe2wwcPJR7nnyRwKCa+0NeSOLdrTWD5Jg2NfaDcncMiUSLfrrAqc3m3FeVjmqKivOJ1TsI8VVTpdai9wtBpdFRkl8hXVOoCX7ISV5tmt26IJ9wumtlRVvd7wX3ZDxhiyn8sr2RcW8++gKJEQZpjHD/rvv2/eKNkqyitqCNwWDAbDZjt9trXWn0pv91J8UlJit+OiVLP1vMDdNulD7r6Weiz7DOfJnhfJ1RXMULa11lh9OSPZPBa0t+vxDUFbBavnw5w4cPb7RjNaEGDc0PUigUrFu3rlGO2WBinJ+fz9atW7n77ru9NkhOggXck4FqQ1hYGP3792flypW0b9++oU0CnJE0Pz8/FxlHY8LhcPD6m2+TPGAYETGtnMd009TKs8DlkTLhLwzOAXTjxjOkKPyYcG6mm1FQI1cQJFFoid3LYXqDu/2RgOg4MwpMLsfIKbVKhFYQUnmiiliClPxpZfv01in0jDO6ZOy766PlCSvpBSZCNBZ+O1UC6pqlztEdwz2WGXMrqlzeE1E09yVS0b7ciioSw/ykAfH7wzUlTZUKJT4+PnTu3NnLFfxnIDs7m40bfuWOu+4F8NCQRgRoOGH0I/tswypyyaHX6xkyZAhBQUFotVo+/u8CHFpf+o+bxoHTrtEVQYS3pJWc09in1+jAcRIO+WqGKJAgInsC3SJD6dTzTj5etIT7Hn6MwdfOZNYVrs40fyd0ap/IoKEjWPLh6+SbNIQmX84dI5IJOZdYl15gosrmGRyIjW+FzRiJxeDv8dnao04yO6xtuAehdof7YH8m/QTqli0R2ufM8kp+OZLD4IRgzp45Q4uqfNr268HRKufv5y41yCyHyKjOtD9H+PoOG01ZpQlztYIhQ4cBNSsz7tHImBAfHEmDOF1oZvYwz9UJeb945MghWsXHeWxTFzIzM3nj1Ve4/8FH6NKtO6cLKz0SBGtzIpCXghf4/nCmNPlw9gkOfLAR71uN1l6FHSVmlQ8pVh+aVfsR7quj3Aacq2DoXjEPzr+6XG1tlZ9PoNsEUg5vkVF32VNdLkJ6tacVp0BtEWr5fr3pj70hMDCQkpISp9ygFtRFLktMVnb9vo2W0ZFMcasGGRvbkqIyM3dH+blMiNwr8rn4HhtqJkcCDXF5uhBcf/31LF++/KLs+9+OQYMGSX8fP36cdevWcdNNN0n80mazsXDhQiZMmNBox2wwMf7tt9+wWCy88847QE00+M0332TIkCEeXrGVlZUesom6MHToUPbs2cOvv/7a4O8IpKenU11djZ+fH4GBgRgMhkaref7HH39QVlrCrKmTOJzljCB464Dl9eoFzDbXjiehbSc6GnylhBCh5QXP5bB9OcVSZ1lXIpyIjIglOW8QkV95dEO+ZC7gXjEP6u7IVhzMJdLPh0g/H6mUaEZxlRS90atdHSdKyyuxKZw7FBFwQdBrBi5XuEeS3ROIxHdr0yZXx3SlbPs6MjMz/7EaY1+jM2K2fccOevftV6OzPpfgZjRo8NH7XJBfs0aj4fbbb5dejxkzhnc+WsK6Je8S/cCzaLU6l3t4bPtISRq0Ja1E0j0Kcrwvp9ilwprw1xaQu5WoOwyktcqfjV8tQF1wgsnXTbpoE9w/i5nTJpPYOoH3F32J5fevWXJsNQMm3ILfuSp5AQolfjolY9tHSgO3Vqen0K5Eb7GjNjmrAsaGGKSJnoAowrHhZJ7LM7Azo8ilyp2436NbJ6HQaOgRoOb7w5XsXf0ttiGj+eG7DYy84krCwsOwKXT0NGhc/Ijlz5LQJ/eICTr3+xqIjU9wScqL9dKfnC40U/THJgI79Pf4TN7/nD1zhn17djNj+ttAwwtPVFRUoNVqefP1eajUamY8+ByBwWFSe+Qe2WPaREgT8x+O5XB33zjpnHZmFEl90pniSvyxEKOoIkQPVoUWs1LPuN6dUCgUEhEV/YhculVXUnFd7j61QcjLYkIMXiO67qRYOA2BaxGWutrnTf7m7iRRVxtqg7vcwh0hISGkp6fXSYzl7QGkss5RQXoWLV7C6LHXEGJ0jt/iXP31Kr76YinTZ8wCcJmQCaki1Ew2hROSJOmpZSLV2OjSpQu7du36S471b4JcVzxkyBA+++wzhgxxtbUdOHAgL7zwQqMds8HEePjw4QwYMEB6XVpayoIFC5gxYwZlZWUUFBRgNpslMpyVlXVeRESn03HFFVfw7bffNjjSDM5ZalBQEA6Hg/LycgoLCzl9+jQajQaj0YjRaPxTg+23y5YzesxY1Gq114HCPZPWvfqUlIxUaeXkod00i2tLukolGZzLvzesbTh6tVODti+nWIr0FJtqr34nt8iqixy7wz0aLY9AeDuWfOnLPdt8dMdwwn11kub4h2M50j7kHXS5qZJqhfffQnRutSUfCt20t07OWyGGmEAdkX4+bEvPx2Gv/lsmejUUWZmZGAy+3HZbDYGVD5IZBSbKrAos5j9fyEStVnP/rdOZ/VwWm1ctZ8aMmS6fGw0aSUcrnFkCDRq6RAR6ZKOL50X8NoIUi7K5AM3admXi4N588J/32frAI9w2cxqdO3f+28leFAoFA/r2YkDfXtjtdh555mUOHthFTDdnn1husaFNzyeuWU1S2W/ZFjqdUwEEyp5Tb5NScE1wBGcZZkHuBBmorDSxbfNGss6eZcjwy4ktO4V9+DiUShXXTJjksr8Sk9VFBgBgNIS7EEFw9p05mWcIDgvnZHmVdO3dcyYW7UqnMjeDwA79+eiGXi59nTzpUqes5pP/LWTEyCswGl37kqqqKqqqqvD393cJXjgcDkpKSjh58iSJbdpy7OgRZ6noqDCahdTswz1SOjgujEV7nd7HYkKy/UwRPthopqjCV2HFX6fmrFlJUnxLercOwx3y1TpASiSOqUPh406K5XKyulCf9EKu4fdWGlluSektQCPX1V4o5ET8fDx7NRoNDocDm83WoP62sLCQolIr6zf8ymVDL2PU6HGYqhWEugW1svKLmT5jlkt+ibdxQP68gPOZEZITqN8W788W8XB3BWpC42Pnzp00b97c4/2oqCh2797daMdp8C3g5+eHn1/NjSU6z8DAQGJiYvjpp5/44YcfGDx4MGlpaWRkZJy3BVvXrl3Zvn076ekNc16QQ6FQ4O/vj7+/c9nSYrFQUlJCRkYGNpsNg8GA0WjEz8+vwYPuH4dTyMw8y8BBztmJtwpJUHdUQXyvpNJK38HDKDVXe37utpzVM84oRZZqi4TKkRhhkDKN5Zo/byTZ/eF3r2VfFzLORQDlEHpo94Q8Iau4pXcsPeOMmG2wI/801QrnxGnB9nRu6R3L6I7hzF7lJAPCmUO0Tx75kGfdQ030yD2ill5gYl9OMZF+PpgryihY/xlRLaL/1o4n9aF1fAztOnTg6afmcOejz7qQERFBy848g0LTOIlsCoWCu++4jccffZBj+9qR2Lk34DpgClIsr7omJ3zuVk0CGTKNKNRo8IdPvZPUvdt4b/5HKJVKrrryCqKaR6DT6SguLiY7O5ucnBwys7LJy81BqVLRtl17brlp1kUv+e0OpVKJMiCEqrIaklatVGG3OZ/B3lGBbDtdRMHxg9jbOXX3PWKCXCaU8lUZKbnOZJVIkfvqyQtrU5g9LBG1Q0WruFi6JHXEGNocsyYQZX5ZrW31Rl7l2nAftYN33n6LlKOHcDgcVFfbMfj6EtWiBd9brZjNZsxmM1XGFlRFdgF7Nbf1aekREKgoL8eq0FJRXs6b775KREQ4E66p6f/1avj888+l5eapU6fSoUMH1q9fT0pKKqczM3HY7UTHtaZj9770H3MDfgGB5JrAgslFJywnhCUmK9O6RrEpLZvS0jICFFWosVPp0GDw8+OGPq2l/t7d97c2pwgR1XWXksn7I3mgQL5KIPbpLSekNnhzrhCFjtzHBtH/ypMy5RATZnniszcyXleEWOxDblnWUAQHB1NYWFinV3l5eTkrVqygT58+lJVWMXTkGIwGrVQJ0OhjdQkobd+4nrFXXQmopPtATFrEBFvkP8ghnhnhjV8bMW4MaUwT/hp07tyZBx98kAULFtCiRQvAGYR9+OGH6dq1a6Mdp1HCaGq1mmnTpvHdd9/x9ttvYzQamTBhwgUZ+Y8ZM4b33nvvT7dJq9USFhZGWFgYDocDk8lEcXExWVlZKJVKAgICMBqN6HS6WmUXv/7yM6NGjvTwXF20K13yZQTn7FWeaOQOQSh++PozBl/lLA6QXmCSImrevicnxeeji5IX03CHvAOob3bs3lnI3SqEpZF7h+tOjuUdlV7t7KAHtmkpDQALttcsgwkS7c1+R/63yNZ3P0d5daWOIb4c2buD9T8vI6xVe1569O5/dMRYqVTSp08/Fi36xPsGVeVsXreSJ+c802jHbBYWxP0PPsKC/7xP9O87mD7jJsm54NavnFnq/eKNHsUpxDI24JEJLgixfHIlilMoFEoSu/Wjddc+nEk5xO+7d/JLaSlUW2kWFkx4RARRMS1pm9SDltGR2GxWPv7vQrZs28GwoTUatL8CZZVW8lP20334OCkKvif1DA6bM5oX7uvsU2L7jkSpVHm4yIBzYuda1c01Uejuvk5trtCcimpg9gO/SIlxJSary+qaILtCkyqIuOifAHb8vp0Tx1Mp8o0iICKKR55+jtgQfz5auJCSEifRr6ysdDoKqbT4+Pjgo1WxZ88ePl3yIX79rkOr01NdbSPnVCq/7NvJoUN/kJ+Xx6QZd7Bx1XI6dOzEzbNmYjabXVbrysqcBN7Hx4clS5ZgDAxkwMDBBCePICooDJ1fAC38ne00AXIa4/68p+eVE6yzU1BQSJW5kgGhWvzjIgkNNqLVaknJcU7iP9rRcJcAsfL0/eHMOq3R5BDtemFkoguxrY1010aY5cEB+USytr5cTopLTFbXvtiL5EIO975Vr/Yk/OK44llvKIKCgkhNTa117P/kk0+YOnUqEyZMQKVSEWHDowiUSN4FyD6bQVy7zuj0erz5SdTmTCGup6hQCw2TVDRVtft7Y/HixUyePJmYmBiCg4NRKpUUFBTQt2/fej2OzwcXfBsEBwfzyiuvSK+joqK46667Lvj7Ai1atODll1++0GZ5hUKhwNfXV6quV11dTWlpKdnZ2ZjNZrRaLQEBAQQEBLiQ4KNn8sjThpLvxTtYPgOtS6slln8qTSZunHo9xVa1S2lR91m/+L5cF9hQSJnYsqixfOlR+Hm666AF6spshhpiE+imV5ajZ5yRnnFGqWMSkWEB8b4cghTLjyc6bGG7U1LpHNxFhECch/x8zKYK/tj8K0d3bCAoJIwBY6Zw69VDPI73T8T3y7/BarGQl52JMc51MFi7agXde/QhsVXLRj1mUoe2vPbaqyz+bClPPfkYtz70FFERYVTmpuMTHutR+rf43O8koqMuhSLOkT655jjSz8dF1y4I8oyxl3GgWzK5FVUuKwJQ87ufPXOGoqJCaYXor0Re1mlUSiWx7bo6LQELTAT6GSjId0qfAg0aekcFsur7L7EPvtKleE2sjATX2G05yYE8Sc5o0JCbm0NZtQFLZQUOu5Lffv6BhXPudtkmyWD0KI4j16l2iQiUfoeffl7FLyu/p0/ffqT98iVFRYWEtmrPQw8+gEajISysRmYQExPjss+EhAT8A4P57tuv+fS1zeTn5xHZIooePXsRFhpKfl4eP375CddOvI6g4BDuvfdecnJyGH7VtUyfNI7s7GypXPnIK0YT2zKOpM5d2HC8ELNbpUu5llhECB0OB5WmCiI0FRTmnnNICDLSLDwUC1oCfbWUmKwUmaGkyOSRcOhNbiVsIb1du/QCk0tZY2/V1Nz7em+VQd3h7TN5cGBs+0hpQlPfKl5t5FcexPAm/3P3Sq4tYiqX9YiS2/VBqVSi0WhcZJXgTJBatWoVN954o8v2dRFRu92OTu9DaGDtEghv467ZVmObCE6JRUygrk6JYH1tacLfA/Hx8Wzfvp2DBw+SmpqKQqEgMTHxvE0b6sO/8lZQqVQEBQVJSQIWi4XS0lLOnDmDxWJBr9djtVoxFWQT32+k1310iQj0WgWoNigrCyiyQGBzp+5aPnv1qPgj68xqMyOvrTMT2cdiv3KbtgOnS5zaZi/EvD5SLAYoYRFUH2ICdZJ7wZa0A/SP86cst4DTFTWdXHSw3oUU13eO8qVokW1cbLLSvKKK1T+v5LeN6wmLTWTQhJuYOap3vW38J+HBBx9k9uw55J5OI8GNGOfnZDFi+GW1fPPPQa/Xc/OsmdjsCj7/6D1yO16D2sdJRuWVrNwlEvKKY1Bzv8tJsTfphUieEc4o4DmQp504zqtzX2Lc1dfSM7nxls8ait1HThIUGuGsRneubSq1ljCDkqBzuQPhvjrGjhrNkaIK9L7+0vnJvcUF5BKhSD8fOgfD6p9X0jIuHrvRTlT5SU5XtyCy6wCJLMptyKYlx0qTR3dCKH6f4uJiViz7kieffJKwsDC2b92KQqmif78hDc7BGDn8MtRqNS1aRNEyOhKLxcKbb75J9rmKX23atuPggX0cO3aMW26/i3yLlp+/+h/rflqG3uBHXJsOTLnzccYO6uriMyuHyL0oNlkwqOyUFBaTfboMtdJpCebnbyQsvJmLHM6A677ENZATX+fnQR4T+tr6UTHhqS9nQzqumzzIW39aHym+pXcsKTkmr5VHvV0vMdmMkVXpcx9LnM+gc3XPm5WZfJVCfq7yHAKoPffDG0JDQ8nPzycqKgpwBqLKy8vp2bNnrd9JySt3WUkK99VhOnOIFuERxEU1qzXR0X2iIr9Gd/eNc3Gw8AZ3iUwT/hno2LHjRSkFLdB0O+CUXYSGhhIaGorD4aCsrIz58+cz6drxxMaFgsqOj68/ESGBqLwsybs/kO7LXzEhBvafNuErW14S1mJidi90seG+OilZoCHRYm8PtDi+6FxTckySLZucsAS6RVzr2q8YUMTAVVdlPG/Yn1FEc62rtlsscckh1+6JdkUEaFw6cJE9HqZVcnjdNxz7Yy/9Bgxk7ty5NGvWrMFt+ifBWU69EitKik0WAg01Kxs2m/Wil1i+ZeY0bnr0OSzbvyJ+1DSeGtnBYxupeIKP6+8lhzdZgUC4r05a4RAOJOK5kkh2Acx/802un3wDI4ZdmtWADgmx/PLjtzgcDonoKpRKqu1257NxboDXmksIVCgw47xnxbnLdaPumv1EHxNWm4aErn3RaLT4+GgYOepKdp2Lfi3ae4bZwxI9rq/Qm08LcU6aFu1Kx2quZNXmPYQYlCz7fBEDBw8hISGBb7/9lvhWCUxK7sYvv6yB0d6lKDk5OVRUVEhJ1AqFguFDBwNgNpt58cUXSUhsQ1FxMQBBwSG0a9OaqdNnERoWxoHTJdx4/zMkhGhIzatCIdP6uifR4XCgdtjYnXIKpbUSHNU4VBpngQ11AOEGAyfLqgi3O0gK8MwREatHcts7kcxsttXcP+kFrgWR3KuwCf21PLrsLcGtBNfEavc+1JtUTQQA6pKxCZvNlJyGJ1ILAi8fg3rGGaWEZfe2SSttPjXtF/tJjDAwe1UNKa7PicIb/P39yczMxOFwoFAoKCgo4NixYy7J+3LIJzLglGMt/+JTbrvlJpft6nLQkCQh5yYA4lrIvde9oTFJ8YW4AjXh74kmYuwGhULBJ4s/p6LSwuBhI1EoFOQVlqKoruR0ximnLZxBj87gT3qJgzxztbT85w0aWxk/r9xKcnJPgoKDUavV0jKh6Kzdl0LlEFZr3ux3OLcMpld7t/IRHYg3GzaB2jRstUHuglEbzDanzZDQ6T2y4gg+SjuV1SqpGuCWtBKpeph7VFyefSyW+kR2sVgStZorWfvVxxgCAnnvvfcICAg4r/P4J2LmTbey4MP3KczL5eprnJ6N1dXV5ObmeGT/NzZUKhULX5nDq6+/gXXvcixDW7uQcXn2t7iv3Z0XxKRMHg0WUWNBhN0z7sW9IP/MVmUmKjKCS4W2reOxV9vIPptB8ygn2TH6aDhltrFfFrGNDIjEr3A/+WYrfucsx5wFHawe/YUgYjq9HpM0I5cgAADgxUlEQVTFQUW1Aqw15EWeXCRfKq/t+S38fRV7t20gKDQcrUrBkKGXMW7MaMA5gJ84nkp+fh7KWlwtv/vuO5YuXQrALbfcwrBhw1w+X7T4M4JDw2gZF8+6X9bQb+BQSfssICYNBoOBzrEGiQwfOF2Cw+HAYatCaS4hqKoMJXZsCg35dh0WlR/NAlyXz+UrC2I/7nkd7jZ44J2E1+bA456QJyqDlni51u59oLxyXUP71PpImQgOyFcU5BAl2+UrNd58ib0dQx5BllvgyUnxhUJIFysqKjh8+DAGg6FWUizsOsE5DtjtdjZv3sytN8/yun1DEuXkBDnSz6dOUtyYkBc9a8I/G03E2A07d+7k0IE9vPDyq5SZqzEaNISHGAEjYeGwP6OYU0XlKPIKUForUTuqKSjXEO3bnJBAf4/IXbHFwojLhuDr6+v1QZSTYvckJTlq8zuWw901w/09eRRBDCrunaY4jnsHL99ORDW8dezesqHv7BOLtawAhcZ5fs6EiXTJOF5ucyQ6aFG0A6C0pBhzWRF5Z7MoKsjnyPF0CtNTCIpqxdw5D/7trL0uFvr0SmbBh9A5qSaK89umDQQFBRMXd36FFC4EarWahx98gFdfe523Xn+V+x58GK1WK91rcuILrhUIw311lFRapQxxdyIsty90t6GSD/bFJisDR17NK3Pn0aVHH64dM8pDD3uxoVQqCQ4JQWEzS+1ctCud4CozCq0Bh0IpRYfN8Z2oKizmbF42ubIVIPH82e12Kfk3M+UPcjRRxLbuQDDOCYZIRBKRzIziKlLOlUEHXGRRclgryxg+fASzZt7okVw8efJk4hLakJl5ltGjLvd6jj169ODAHwc5e+a010SqfXv3cNOtt/PKi88BMG7iZJdVHvdJ+v6MYuxWM3ZLJdVVFeCwExzgR4FSTbE2iBt6xHsQQOG8INxwxCRKPrESEMRUlNEWlmuCBMslP1BDKkV/KO5LARG99EY0RXDA3bZSWPLJCzx5Q13+x6IYh2in2IdIOhbXBZz9a3qBZ9vAe4JdXVi094wHIb6QaLFAaGgohw4domPHjl7rGcjt8SL9fKTgiN1uJzo62uOe9Za7A97t68S56tWufZB7vktjw2Qy1b9RE/4RaCLGMhQXFzN//nzuuece/AMCXDr3EpO1JiKh1hJm9CfwXFJItc2C3W7j9OnTkoejv78/fn5+nDp1itj4RCnxTyAxwuBhzwM1yRKiExQDoyARKXm5LvsRBKM2wuzuGiAg19oJMiyHPGLr8ZnolM7Z+Xhb4hL7FwOPvdpKyDlNt17tXFbMKHaNTphtUGmq4NCxkxRkpbM3J4P0tFTMpgpCQsMICgklJDSUVi1aEN66E49NHNZohVz+CdBqtUTHxPL7lvXERkeCIZjNmzYyYuSov2xyoFarefihB3n1tdd587W5jBo7AWNEtCTt8BbZ8laART75E6Q5JsSA0cdTIiBfQQAYMHgo7dq3Z80va3hyztMEh0Vw5cjLGdi/z3kVFfozKDRZ2XIyj6OOmmfYplChclTTsVlwjZYYiAuqQmc1UVqUj97gh0ar42hGLqE+ULR/A616DGPP5hXcdvPNlJptXiOf8oS67WeKGdMmwiWiLiBkLCPGTuSLhW/z4fyF3H7bLS77UiqV9OvdA+hR6/m1aNGCp+bMll6npKSwYuXPjLp8BO3atSMmJpoliz4G4PpZdxER7LpiU1Rhxmo24a+ysmPvCedxNTqUWgO6oEhahvljNGg4dTQXh6WSjAKTVPhFrHCJcsdGH41UHhtqyK68b5I75sg1t+5wsX2r1HhIWQQSw/y8JkcLyFdIRN8sSRPcXSK8wF2bLCeughy7wz1RUAQhpOtUR6Ta/XrIk5sPnC5pVFIMzpWsqqoqzFYHSq0SPAtDSpCfV1ZWFqdPn653ou9thdR5DzjHMnlFWZHwLSfFF8Oi7e9anOj/EwoLC3njjTfYv38/FRUVHp9fSIE4b2gixudgs9l497336dazL4ntnZ1CXR2NWIJzPmBO0qtvFobZBlarlYryMvLz8zH4+bN39w6qOnTCodazNr2Um/vEeSRiuHtzukePjT4ayQpKTj5EBCUlr5zRHcNrNLpuEaRAg0YiqXKk5JhcZtziWO7fl9v6iL14i07Io9Bywh1qUBIbYZQ+c1+yM1nsfP7556xb/RO+gSHoQ5rRI6kTA4dfyYCuif+aqHBd0Gg0PP3UHJZ+/iVPPvoglw2/nDOnM+jbq3aCczGgVqt56MEH+OzzL1nw/puoVGqunzaTdh2cz42YrIX76jxkQkIKI3SFg+PCpOhdsanEY5LnTvyENj9F4UfyiPF0HXoVmvwTbNm8nqVLPqVr92R69Uimc+fOF9Xf2McYRGWpK4GtVqhROWzS85kUbXQS/RADKrWa06fSKD6byoEjxxh55TgKKkxMun4KGQUmrr9hBoG+WjIK69cpOhx2flq7mh1UctOM6dJSuLhuTp/XGPKGj2DXjh2kpKTg4+NDdHT0BZ3rrl27ePXVVzEYDBw7cpj58+ezZ88e6fN2Sd0oKKlAWW2moryMsopKLNUOjAEB+AcEEqENpKSy2qUKpnvfuuFkHtNCYokJMRATYmDt0VxyK6pYezRX6gtjcSWLIpm4PrhIDWR/u5PPHjFBkkZ5w8k8py1kHdII4fIjHHPkFQO9uR0I2YCI+Bp9NPUSZPCcbIpjuvfbcoiKhyLgUleUWthrAsyf+OcIMTijvj/99BODBg3CarUgxkc5hrWtKTSz9miuFDFu3rw5ERG1y6Rcrk9AjTuSGMfENckp9ZyceCvA0phJdy1btuT48eONt8MmeGDy5MmkpaUxfvz4i9q/NxFjnLOQ/3w4H6vVytSpU6X35Z1JSaXVpYKXN4htNRoNgUHB6MOCCamq5kiJhg2nK9DaCwmyW/h2Yz5GhRqrUotFqeP6Hq2kyKfQDsutggR6Bhg9snBFRBicHa+YfcuX4+QllcFVV1dssrpkQbtrlmuLfhh9NC4Zvd4Kh8gz71UKhwu5lZPiB/tF886br1FYWMi7775LSEgdJaf+5QgICOC2W2/msqGDmb9gAVOm3YhO583h8+JCo9Fw47SpTJs6mV27dvHhhx/Q77JRVPuFceDsKcKCg2nfvj3Job6UlRRx1OKDQqE4Rz5qyJ/cRaGmqIFb1Fg2UTP6aFwiqpd3bAG0YOjggWRnZbFl6za++2EF7773Hi1btaFrt2SGDerT6FWpmgcHEaKzM7Z9pESmqpVqwnQq7NRoYQV5cmj9iEpMwufMcQKMRoLDIqTlfUHQxPMq3D7EKpU82t7CV8HuVd9RmrqHI8CESZNd9iFHs2bNOXzoD2bP/gOA6JhYbpg+gy6dzs/a6Ouvv8bhcBASGsb4q8dRXV1Nlx59qCjOZ9DgIVQXn6VCo8HXz5/Q8Gb4VSsl+zQboFBYCTQoJRLovlrgDd7el9uYCYJdUmklMcJASaWrjEyQ2drsytyj7ODs89zLZhsNnjISb5FKOUkVxxYlinec9NQIG31qSF1d0UuzDY/VFjkpBu+/vfhObkUVejVSASjAJWlar67pi/vFGy+ozLUcf/zxByaTiUmTJmG1WklPTyci1HuJ6Ft6x3oEiNRqNR999BE33VSjV6+vPSIHJTGiZoWypNL7uLVge7rk4nK++TV1IT8/n99++63R9nepkJ6ezr333sumTZvw8fFh0qRJvPzyy5dkjPGGzZs3s3XrVpKS/vwEri7864nxtm3b+PDDD+nWow93z5zpohGWOyTIB3A5sZR7PUYaYGZf54xUr4ZKq4OHXnmbrpdfA4BFde7mcjhQOarR2qsY1FxD2vEUys021Do9Gr0Bjc6ASl0TvQXvfpN6de3lZQXknaq7DZC8w3Zx1vCSYe1i3VZLBnaJycqBAk9ZRlK0kfQT2V5n510Cq7h11nR69e7L8889+7d5AP/uaN26NTffdJNUNOFSQalU0rNnT6Kjo3nooYfR+QUQ1boDmcU5bFnzHRZzJUqtHn2LRHqMnsT3hzNdyt7KIZxZciuqXJbOS2TEQ7703SPGdcD1MYYybNRVDBt1FWVlpezatYuDf+zjx2VfcNnwy5lwzdWNFmVITTmKcsgYFxcEm0JF2zA9h8/9JCLiCTVEL751WypNFVgt5WQUeJdAyf1r3ScSJ39fh7W0gIQBV1BxYj86ZbWLfEQ8wxXlZbw+72UGDRlKeWkJBw4c4HRGOi89/wzPPP8S7dsk1Hl+DoeDI0eOEBUVxRNPPEF2djZarRaLxUJaWhpKRzWtk3oR3aEnceFOGUVGgYkQvR7RGvlyt5B9yElxhkyPnhjm51KlT756JfYltyITsguov4qb1/fdqgEKiMDCIi/e9YI0Gt3OQQ655jyjuMpFGwy43Nd1uVPI3+sSEeji3y5yMOR2ibUhs7ySFQdz6y2HXNuxzwcfffQRs2bNkoI8DS0R7U78Z8yYQWVlpfSsNpSsy7cpNlklkvzCyERJTpFRXMULa1O4u29co0aLg4KCGDBgAOvXr2+8nf7FsFqtjBo1ik6dOrF582ays7OZMmUK/v7+PPvss5e6eYDTT91isVz04/zrifHOnTsZf+0keg8ajlbrXU/7yIojQI3JuSh3LM92NRXlsWn9b5wpHUPG72uI6jGUvKN7aN5rtMv+hM5px8kSesYZz82Y9QxqGYqtqhJrVSXl5dmoFXZ8dBrMVgN2pQ5frRE/2ZMsT16AmgSG2jrbcF+dCykWM/VIPx8pOuUObzqu84FY9q6urkalUnnt3PZklAIKduc7mkixG4TdkTeYTCZeeeUVKioqSO7RkymTr5dKZF4KNG/enP8s/B8qlQpfnbMam8lix2azoXJYeXzOsxzftBJd5+GAa1VEbyRZrnE3GjRSJSygVkIgv1/9/QMYMmQo3XoPQGct5Yuli3nkkUe54+77aJcY/6fOtby8HFNxHoGRNTrISD8fsGtJycwjvFmsx2RVEDmjj4b0tFRCAvwA75E0Ec0SVe8EpiXH8nNOFHst5Tx1+1TmvZrNfXfdRu++/enTtz/hUXHs+n0L6Rmn0SidOs9qq4UZM2YQFhbG7n1/MO/lF3hmzhN89dVXHsetrq5m165dnDx5EqvVSn5+PklJSbRu3ZqwsDB8fX3RarUoFAqyMs/SrtdllFU5pOitN/tHo8FTiiCXEIiJfbGMNLt/X6xc1WUDKEd6gYlYXB0r5CtZdVUola9GRPr5cOB0jbzHXR4hNL7iXpTaaahxEhEQhLuuSqPu1nEXiowCk+QI9P3hTJdiVN4sNu/sE8v725zJ0FvSDjRYX1xdXU1RUREnTpzAYDC4kGKBoKCgektEu9uSnj59mszMTPr27dugdsiJszzBXA45OQZ4d+tJr97MF1Lww2wDNQ5Wrlz5l5enb0xs27aN48ePs3PnTnx9fWnfvj333HMP33zzzd+GGN90001MnTqVN9980yNvC2DgwIGNcpx/NTHOy8tjz569XHHVOK+ODu9uPVmrdY37wJ5XWkX0kMspQE1Uj6Go1FqC4zyXLOVLR3L95cZT+R7lLaurq6muqqCiooKcs+msPlOEHQVWpRarUoNCqcWhUHn4YwqI6FqXiECXKLe8DeG+Okm+AV46g1qiw96OB3gtc223mFCqnZF4MXBEB+vJyC4CpRJVqx7Yjm/DZvtnl25uTJw6dYpHHnmEN954QzLKF1i9ejVLly6lR6/ejB13DVs2b+Kpp57i1VdfJTg4+BK1GAJk3soABq0StFpAyzOzH+OOe+4juW0XAiJcz0euM5Y7VXgjMIlhfl6dAgCX+xiQyJQxpBn33P8QmzasZ+5Lz9OjZy+GXTaExMTEC0re/GDNbgzGEJTn7tWx7SMlW63Ccnut0byYEAMOh4PS/Cw6dxwm6arBSa6c0UaT18RX0TeEhoWislWiVqt54vHH+CP1NHu2b2LBf96j0mymvKyUnv2HYlcrUSqV5OUX8PDDDzPr5tsY2L8PS5YskTxmq6qqqKhw9i+VlZWUl5ezZs0a4uPj2bBhA2VlZUyfPt3jnjLbnBMhvdVVYy0vFuStbxBFSQSMPhpJTyxeS5950QVL5PicvEu+vTxxUxSukH9PL7Mnc5eAuXsdg6tczimVKHGxh5Oszny8k3jhIgLeizTV5RRRGyletCtd8roXkFcAFW04n8JT4CST72+reb1gezo394rh119/pXv37qxbt47Bgwc75TTnZG5ffvkl48aNY/fu3Vx+uXdnE3AS4+PHj9dJjN3RsmVLwsLC+Prrr5kwYcJ5TRLMtpqJipiwiSCUOzn2pjl23xc07Dqq1Wquuuoq1q5d2/DG/s0QFxfH8uXLXQinXq//WyUV3nPPPQBceeWVHp8pFAqqq6sb5Tj/ahby2edfMHjoZURFx7hEFEoqrR72NWIW7a6JkjJde8fyzTffcOeYMbUWW6irVCh4X76rgRp0YSgcdjR2Cxq7BYPNRFIzX1JTU9HoDfj4OP/5G7Qs2J7hsQf3KLM8S9f94ffWcXuzzBHJdiIS4y3CXF5pQaN17cyvb+3L3M9fxGarxqdFax557rkmUizD66+/AeBB3DZt2c5XX3/Nk08/R0yM8/cbN/5azKZy5syZw4svvtjoetrGQHBwMINHjmP/+uVMv/tJlEqlh+2WvOQ4eE+88yY9qE0CJCdXCoWCQUOG0qFjJzZu+JW33noLhUpD9z4DuebKYed1zXS+AZjLSzGXFaP3D5TkFNOSY9mRr6KUGo2xXDqQn5tDZJAP8a08B2OhR5YXahCEsUtEoLRkfygtE3Q1ZbA7tY6mU+spTJs6mQ/+M5+NG37FRwO33jyTtomt+frLpYwbN44ff1hO28RWmEwmqqqqSElJQa/X4+vrS2hoKD4+PjgcDt577z1MJpMk0fF2XfRqaJPYmrTjx5kxeKjLZ/l5eWzftgWLUkdyn0EuyWvy384beXYnzu6Qe+96i/yK13VJHcCZtAXOiG/6OTcMcK2+KPcQlrfPff/uOB/dqjenCOlYsshzUrRRspPLLK90SVyTVzKtDZF+PvUWY/p0chILtjujxmu3/8HISAXx8fEEBgZy9dVXk5mZicViYfPmzfTv35/Ro0ej1+vrJMXg9D9Xq9VUVVV5XREUmm4xNooxydfXlzFjxpCTk4Mx5MI8y+VadFGQ6oWRidKxMoqrPCzcvEXtL2QS81dBp1Z6Tb6sDSqzmtxaPouOjnZJ0LXb7SxevJjrr7/+T7ay8WC312Fv0oj41zIRi8XCnl07eWnu60DNDV5eXs7qP05yutABeNrWuEd15Q/NqFGj6qxAJkp+gmekoW5SXAOHQolFpcei0lMBbCyCSF8divIqFNX5lJnKUTuqCcGpebQqtRzKqmJ/diEOhTP5Te4b6Q2SF7HbAycfzCQ/UFmk2X2wEp27xVLlcl3ySypY8P5b9Bs6kiEjx55XBb1/C7p0607zyEhJHmG1Wvn2h59Z8f23DL3uNhLjXe/DgQMHsnLlSqzWC5e+XGzcMnkcj/2xg0ObvqdHz94oy+zgWyP/8OoZ6xZhFHD375Uvz9dWydFsg9CwMIZdOZ6ho8axZ99+9mzfxH333c+jT8xpsMTi1su6os0YQsGu1eiHTJLeX3s0l1YBenQaDYpzz5o8Scpo0GK1WGgR7fRdlke25Ml68v5ALnUqqbSiVTow6D37GIVCQd/+A9i+bQsnTxzn1VdfJTk5mWsnTOTgHwdoFhGBSqWiWbNm6HQ6r5FyhULBlClT2LdvH9HR0YSGhtYaUQ8ICCAl1ZmB73A42LN7F7+uXUNqyjFiW8Zx7OgRhgweWitRlBMKMTkqlv2m3qLH7om+9UHcD/LkOICdGa4yF+HgADL/YhkplZw0anGoqK1NQhssiJi8VHR95+FeTU9Ohj22O3et3CUk50vaBseFsfHQWdS+Rp5Ye5YlM/sAzjwCsWolqiCeD0JDQykoKCAyMtLjs9Edw10CNiK6K7Bzzz569Bvq1XNfDm+fiejxgdMlkua4Z5yRW3rHsuNkCRnFObUW/xD7rO8a/tlkxb8znnvuOYqLi7nrrrsudVP+cvxrifHPq9cS2zKO0LAwwNm533jX/TiKnNEf/dgnWDSli8t3aouYig77wIEDBAQE0KGDZ7lcgcQIg0sRDNGJuRNu8Iwgy2e28uhzpqRn1IL23LLnuQS/q9sG8fvxHBTVlWC3kxDuj16vorCwEB8fH3Q6nYtbhLxtAg3tkFxcPM4N5CWVVqxllUQ28z/XLAc/fr2YAGMgN98wqcmGzQscDgerf/4JgENHU9Fp1PyxdyctWrRg+NS7CYmM8RhAAgICCAoKYs+ePfVGcS4FHA4HaRlnaduuPatWruDI4UMUFRYSHhnDyEk3Uezr51LtTkB4ycqXx71FyOTL4HJHF/kzKiD20bpdR1q360jGoZ28+sqL3DjrZgb2613vudjtdjRKOLB3Fw+MmciBsnMFOsorqbBUUK5WUq1US8UmBCnbuX0L7fteTpFwVzC4avvlVd0EhDZVaHUTYiI5vG8nFouFqqoqKisrpSiwQafm2gkT2btnN6dPn+bgwYMsXLiQwYMGYrVa8fOrPwFr2LBhHlXuvCH99Fn8A0P4fftW1q9bS0FBAVeNvpIHH7ifjz9dRHR0DEF+TsLr3i+I8xHvy4tvuE+OaiNEYtv6IrRif8X1RFUF5Amd7vdZbRHq2iCez9oqm15ItTw5hHZYkON9OcVS4mpD2gc1SdcRARoSwvRMDM3jm5IolGoN05ceAOr2NG6I3CAgIICsrCyaN2/udaI1umM4KTkmNpzMY19OsXTddDodOt9ATKYKIgIC6z0Xd4g2yXXHInLcM84o2dQJeYU3WYW7R399q6j/X7B8+XLmzZsnuVP8nbBu3Tp27tzpkoRnNpspKSnh/fffb5Rj/CuJsc1m47vl3/Dwo08AzkH79kdm4yjKRN1mAOrWfZnY2Tm7Fd6T7oU0vJVf7t27N0VFnub87pAvCQp4m3nKIwzucLe6kWva3Kv7jOpZoxGsrq6msrKSyspK8vLyMJvNOBwOVCoVVrRo9Xq0Oh9CA/1qPbZ7NSlvENWhik1WzKUVBIcpsZis7PhtLSePH+X1eXObSHEtyMvLw2Dw5YbbHyAt5QhGHzWXPfgorRISXIiT3KszNDSUBx54gNdff51hw4ahUqkuVfO94sSJEzzxxBMkde7CfxZ+TIjRl7KyMmbNmkXKwT047HZyMo7TuUtXevUd4FJBz5tfq1xiIT4X2689miuRgwOHDnPmxBGCjP507z2IsKBzHrLn7s+YEAMxAweh9TWy9JP57N2zi5tnzcRgqH0Vw0ejYM3qnwHQ+xgYHOrUPX9/OJNqhQqVw0Y1apfCJoPjwug7YDAppZ5V24QuX7RfEKlpybHYbDaqzGbM5krMlSaCgwNp364NCxZ9xpgRl+Hv7+8SBW7Tpg1jrhpNYWEhdrtdOo/GTmxt3zaRN954g9OnThAVFc0D99/njCKnpLBn107eeOMNqU9zkQjIk+fciJs3mUxtpBjqr/Qp/pbboonvyqukCXLoLbFPbhFXG7yRI28exOI9uXVabefh/lo+8SsxWT38wP8sTmYXs3bVT4wZP5Gdbrk105c2PCHPGxQKBT4+PphMJq8JU4CLr7mA2QaBQcGEBFycFUV3zfGF4P9jxHj//v1MmzaNhQsXkpycfKmb44JXXnmFZ599lu7du/P777/TvXt31Go127ZtY8aMGY12nH8lM8nMzEQBtI53Es9VK1dgOptKUHQCkydNYmI3p85GXsddZE4fOF3CgdMlUscmOi7R6W3cuLFBbfBm5C7/X/yrC7f0jpX+iWpy9ZW8VKlU+Pn5ERYWRkxMDImJibRp04a4uDgMfgHYq6uxlBdx+mQqx44dIzU1lYyMDPLy8igrK6OwtPYCBCk5JjIKTDWDlIj+OOwoVSp+/XUd3y1fxlNPPtGg6NW/FTabDZ1OS7/unRg0YjSDRlxFq4QE9Gpn9CPQoPGqK2vTpg06vYEjR45cglbXjfj4eO64616mz7yJEKNzcPzu+x8B2Pzzt2SlHaJjuzb8sOwrVq5Z61HEBrxbbMndDOSEc2dGEct+2cSS+W9RXFLG9q1b+O6bpRRXWKTnSj7JbdYykdsfeQ6H3c7jTzxJebn3imjgHOjnPPMCBoMvZdkncTicsqtpybEEGgyE61Qemfa/Hs/ik6+WSa+FNtRo0FBssmC3WVBYKsjPzybQUkiMvYi01GOcSEsjN78QlUpFSGg4W0t8qEroz+HUU7z67ofodDr0er1LJE6hUBASEkJYWBgXC7179+a6667jxPFU0k6k8vrrTkma0C7bHCqXKFvJub6zrsTK87HPEj7qDeknBTmX+yjLfdhFe2JCDB7tig0xuHghezuWmKx606e6W5GJJD9xHeQljOWrbGKskbdDIL3A5FEFzx3y83Bvgxx6Nfyxext5OTmMGT8RgLv7xjFvdLs/Xf1ODiGnqA9yWV2JyUrK0UNolX9eVyqi0O4rB/Io8exVKRdElBvT9u1SIycnhzFjxnDfffcxZcqUS90cD7z//vt8/fXXbN68GR8fH5YuXcrmzZt56aWXGvU4/49+0oajWbNmxLdqzbRp01yyGFu1S5I6nAxZ51UbxBJWTWlkBSNGjODrr7/mqqsnAA2XIdT13l8BlUqF3uCL3uDrYoxut9sxm82YzWZKS0spKDFhrjCjUyvJqC7Az6BHr9ej0+koKq9CoVQ5r5usD/TXqzm4exu//PA1N971yCW1FfsnICgoCKvVxtbtO+mQ1EV63z0y4T6Ip+SYaNe5O9u3b6djx45/QUsbDqVSyeCB/aTXZhv06tuP9h070b1LJ+n9sMgY5n/wDv2atyHK6Cet1ICr7lIiyeeWoY0+rlG4s0Wl/P7zl9x7z91069aNzMxMnn/+eV5LS6Vzl27odDpUKhVKpZJOnbtQ7Agg0ODLrXfczf8Wzue1199g9pNP1JoQ2ql9Infdez//+2g+Op2e4ZePpF+/AfROiOD3Y6cJ99UR7qsjNsTAhz/8Aiho2WsICquJ/IISCnKt+Krs+OtUlJltKFQaAjU6jleCVR2Awd+P+NYRNRHOIINzRUihQKXRkjRmOlW7V/L6G28y+8kn/tLS6CdPnmTr1q2sWbOG+++/n3bt2nHvvfeyePFirr32WjIyMnjx+aeZ/eSTBAcHe9hnNTQyLCDP46gtOifX2sqjrnLJBrjq1OtbtXO3e5NHv4UuXEDow+uKIIryy+CaSCon50LmUyyLFMeGGFz8snvGGV2O0SUi0MUxozacPXtW6nvFZG716tUMGTJEsuG7WDAYDJw+fbpOC0pvGH7Z0Drzdi4E7lXxGiNy/P8BVVVVjBs3jsTERO644w6ys7Olz4KDgxv9d7gQFBYW0qmTc7wICgoiPz+f+Ph4Jk2aRHJyMh999FGjHOdfGTHWarU8+cRj0oyoXbt23HbbbTw8a5JLNCkp2kjPOCNJ0UaXpbSecUYSIwxShEHeIal0vvTsO6BBkoqGYMH29HrdLBoT7p2rUqnEYDAQHBxMixYtSGrfGn1oDBhb0LxFNH5+flRaqsnNL8RYXYij+Azm/AzMhWexlOZiKS/k1MnjLP/2K5544nEGdmvzl53LPxU+Pj7cec99LProAyqKcj0TGn00tSaq9ezZi527dv+Vzb0g6NWQGB/rQooB+iV3wjfASHXmcSkC7C3pTjx3ovCDiMKJaPrpvb8RFNGCbt26ARAZGcl7773H+GsnYbPZKC0pIT8/j7QTJ5j7ysvnStdCaaWN6TNvoqSkhN17D9R5Dsldk3jv3XeZMOl6dmzfzv333MGhP/4gyteBtbyQquJs1q9ZwTVd4+gQHUagw4RRVU2gQU9QUAi6oBZExibQLKYVES1i6N4ujpGd4rmqYwzD2tVk4hebrC7uCpF+PlzdKZoZN91CVmYme/fu/RO/xPnB4XDw+uuvU15ezqOPPsoHH3zAPffcw2uvvUZaWhqvv/46t912G/FxcaxYsUIixYEGjdSXupPgukhvTqlV+s1zSmuug5zYiLwIQSrTz90PJZVWlxU9eV8t/s8oMLFoVzqLdqW7rBC6wyV3QubBLP6Bk/SK8117NNdlf8ITWQ5vjhnytgmku/327tcpNsSA3W4nr8h1lUO0c8+qbzBZ7Ozee4Bjx0+RkpLC999/T2FhIUlJSY1Cir39diICO3tVCnNWp+Lv709pael57ff3XXtISWkc0irG8HQv1/2FkYmS7/RfOd7+nbB9+3a2b9/O2rVriYyMpHnz5tK/rVu3XurmATBgwABee+01zGYzycnJzJ8/n4qKCpYtW0ZAQECjHedfGTEG53Jj8+bNadeunYd5tXzWL49WuOvMauvQ96XlolAoaNZC6ZIgVRe8WcJ4Myr/u0ChUGCyQkRAAFqDsxM2AMpzus396YXYbRYO7t6GsqqE22+/nerqao4dO4ZCoUCr1aLVap0JFjodWq0WjUbzl0a+/s7o3qUTI0dezuqVPzB+yk2A68DuLcIWEaDBGmTAaqk90/rvDoVCQUiAH0alxSk3qHStnAaeelD5yk6xyYrNamXPll95+JHHXPatUqno2yuZvr1qdHMOh4NH5zzHjvU/M/n666Xr275DB1JTU+jVo5u0rd1ul5LeqqqqpL9DAv25/rqJ5OTls23rZvr2H0BAs2DUGiMabTeCmoczIFotDcgiAl587jzEuQmi5C2iKteShvvqnKQPuH7qDcyfP5/7H36MtglxHt9rbFRVVZGXl4dKpeLrr7+mqqqKqVOnEhYWhsViITU1lVOnTqFQKLDY7BTmZRMc1kxaIvfqbOOWfCZfrZOvFnjbVv6ZXo1UeVPIJbxVDJU/Q/LrKiQHDXGMkLfNfWVR2OzVhkD3ia7BM9ItIsDuZFq0UZ6Y7aN28MpLL5F+6gT9Bg5l2rRp0krH2WN/0LrHQJRKJSNGjsJsNlNVUcK4cePqbGNDoVc7CfDpQjP94o1sSat9zHr+twoe6VmF0diwMRGgZ+9+hPo2TvzOm+5bjlt6xzJ7VYqLjZs3klyfXPGfikGDBkkrCX9XvPXWW4waNYobbriB5557jssvv5yAgAB0Oh2LFy9utOP8a4kxOOuCZ2Zm8sUXX5Cbm4vRaKRXv4G0bOkcYLwlj3iDnKTM+3IVDoed5gkdyM4pZl9OcZ0PUm37bsis9XwMyBuC+qyV3AeM9AITEQHOCJA+QCNFbjIKTHSODebXLTs5tHMzA8ZMcnHqcDgcEqmwWCyUlJRQVVXlYjWm0WjQaDQSgRb/1Gr1v4Y8d+vWjXfffZchFVUEuSVs1eat+dVXXzFo0KC/qIUXB2cy0unZdwDFJgsKhcKrP627v7GcnBzZu53gsGZ0aJtQ77EUCgX333kLjz/+OFeNGIzKHoTVYsFUUU7bxNakpqZK3plKpVKazGm1Wnx9fdHpdBIJSUxM5ERqCmlpafRulURMiIEVe3/HoFEQ0ay5hy7c/bU4h2JTiTQJjwkxsOGka18gnzAkduzO2PFlzH3xObr36Mltt9x8Uf3A9Xo9r732Gtu3b+f4cadd26FDh0hPTyc1NdXZ5pgYkpOTeeONN3CsWsll4ybTM26cy35qi5YK1ObNKo8UAy72l/K+ST65kK8yyP8Wfay85LIgnN5cgsT3nHrkmgmakEXIyaqwxNxxssTDr1voilNyTF4T/uTvCbsxb20U7Vw4/wN8fX14/bXXeGXea+zYvo2+/Qfw/eFMQlrEotbpZddBRUTEhfkCu0O4VgjURYoBKu0qfjqYxZ0tWzY48drhcLB48WJuvPHGC22mV7i7+ggIWUVGcVWt8gp37+Mm/HVo27YtaWlpOBwOlEolJ06c4PDhw5K9ZGPhX02Mu3XrRmFhITabjcKiEjZv3sxPP/3EwoULpVmtnAzWRUDnbzvF3tXf0nXEeHAjbn9maWZwXNhf5vOrV9ckHNblcyz39lxxMFfaVmT6A5zJzmfZkoVMmnwD3Tu7EhSFQiFFir3B4XBgs9mwWCxYrVYsFgsVFRVYLBZsNps0q1WpVC4EWvyt0WhqJdAOh4P9+/dTVVVFcHAwrVq1+tu6Y8THx6PS+rDn99+4bGj9Flo7d+7k+PHj3H777X9B6y4eZtx2N8u+WMT6deu4YvwkYkK6eLgOyBPnBDkR73+9cCedevYHnFFeq9Uq3Ufib/FP3EtXj7+G9evWMGTocHR6PakpKdwwdSqBgYENuj9Wr17NDz/8SFWVmY4dO1FSVEiJj4bKshIS42NcoqOA10i4ILzyxCt5dCvSz8fFvk18b+hlw+nVqw/vvv0mc199jYcffMBDD+hwOMjIyCA29s8P6KIQwIQJEzh9+jSnT5+mvLycLl260KNHD9RqNb169WLx4sXcedddJLVJkCZyon+prUSxILryz9z7X7m7hID7pN79ertD/n0hlZMTzkW70iWHBKOPxquTkOjvUvLKPdwhhrUNJ6fU6pXgy3XGcoh7omaCZCUWg0fbBG7pHcvPa9ayb+8e5r72FqGBfgwbNozdu3bQt/8AAErzc7gs1hdo7fU6NBTuZNCdFH86OclDiiIfQ8T2uVYNj3+7h2yrtkHJfQqFgquuuoqSkpLzijTXhp5xxjolM9CkOf67Y8mSJXz22WdkZGSwevVq2rdvz+zZs5k9e3aj3CPwLyfGLVu25KabnMvUv/zyC3m52eTl5fHZ2p3EtEmiR0yQR4dbW6TuzJF9dL38Glr4G6QOwWxzNY/3BmG74w1dIgIviBTXFoW+0MiySDQRyUTgHMTF0rDc0i4p2sipvHIWffQh7ZK606513HmL9hUKhURw60J1dbUL4TGZTJKDRlZ2DnFxcURHtUChUEgVmI5k5LHuhy8JCo+kIDcbq9XKzbNm0LFjx79dJFqtVtOmdQI+CpvHUrPRR0MJrhG01NRU+vbt+7fznTxfDO7Tnf49OvPdT7/w1f/eZ92P4fj5B1BaVka3Lp3pM2g4SoWC6mob1TYbjmob1dU2NAo7qXmVREUE06NNFMeOHUOpVLpMmHQ6HX5+ftJr8ZvHxcXx1tvv8Pqrr9C5c2fUGk2Dy2sXFxfz3//+l7vufYDPP1uExWrl60/nc8XY8Vw+6goXaYCcqBWbrM7Io0wmEBNikMpEC1IsLwOcUWCqcTI4d0/k5GSzds1qBg8Zyob16/jPhwu49x6nKX9paSkBAQGs+mUdH3+0gLlz5xIX13iSC/dqWQKlpaU8//zztElMRBUc7SEvSMkrJ9xXV6dcbMfJEkkSIbdcE3CVMJikfYrPAmUTdTGRkmQL594f276m6ESXiEAXEir2V2yyYnTzxpaT2NqqiWac20YUaAGnW4pcOy93ocitqJImDPIoc23R9X1/HObbr75k9pNPEhro/N6J48dpHlmT3BwWm0DHLi2cziBe99IwbEkrYUuad829ILh1BVNEZT2lw4/y3GyyrVoXch0drJc0vgJi8ncsPZvosIBGIz3iugpPY28QFfLcI8MimtyES4OXXnqJBQsWcPfddzNnzhysVitqtZpTp05x77338sknnzTKcf7VxFiOkJAQgoODmf7QS9KA5F4CVK47Fqbo4IwW6339XUgxOImo/LU8cix/4MRym+hgRZax+7JhXWiIl2JdpS3lcPdZdddkiesijNPF56JAwYndGykvKeKpJx7hzJkzje6hKqBSqVCpVOh0OtZv3My3X3+JSq2mddv2/LZ+LX36D2bYZUNxOBxUV1djs9k4ll2B1WYDezUDh19JcWkp6zZs9JqAolQqJULt7X/5P6VSeVGItdlsRiObWLgPkvJoWmRkZIPtAi8V7HY71dXV2O12bDab9Npms0n/i787t0+gZew95OXlo1E6UKnVnEo7wcZ1q+jRszcqtQaVSkVQgB9qjRq1WsPePbvJyy84b1cOrVbLIw8/xIEDB9i9ezfXTZpU/5fOwWg0MmLECD7/bBEF+fmMGTOOffv28vkXS7lu1j34+jmTQmJl5Ew8Q+7uN0aDRpp0yh055FFEqNEi5+Xm8vzTc+jWPZnly77BaDSyb+9ujp/MwBgYxJ233kRwSIj0DDZGxLghyMjIICsri5dffpn/7ToL1FSVC/fVkVtRJfUb8vOUQ14JT2ix5St43iz9vHnNC2eKlBxX7XKknw87M4qkKLyQr0xLjpWIvNiv3HUCN3ItcEvvWK/9sLxwiSC+4vvu+mQ5uRfbyKPRct3r4UMHSe7RU5ro5Ofns3vXDl598x2J3CsUCr78/DMGXDHBKUtyc+WobzwQpLe2COrsYYkNHlfEmJeaWk3RiWpOFdYUaJD7JgsIMt8qIZFff1nFdVFRjdLH9owzkpLjWUymtvZ6g3yltAl/HT766CMWL17MgAEDeOaZZwAnD3j++efp06dPox2niRifQ35+PiEhIZIVztqjueciOq4zSned7YqDuZKEor4HpbaOU651kqIkdVjvuO9DnjFdW3JWY5iQ51ZUSRGckkorOaVWj7K2Z4tK+XH5Vzwy53m0Wq00o7tYSEs/y6cff0RRUSHTZswiMCqR1PwKtm3dQpnZypoNWxnQqys+Pj6o1WpG9GrPwM4v892aTXzz+SL8I6LITzvMNePGukS+HA6HV9ImCqRUV1e7/KurhrtCoUCpVNb7T2ynUChQKBQUFBSQfiqNQcNHUVlpIqvYTKm5mqhgAwa1AxTOUtF6NVitkJyczMKFC51k2i3aLiQDdf0v/2e322t9bbfb6/1X17WQTybE32q1Gp1Oh6+vr8vEw13GUNw5iXvuvZfWST0JDQ8iyu35PHL0GG3bta/vtqkVSUlJJCWdn3+rQqFg1qxZ+AUEsuybr0hNOcqMG6cz9413+GPHb/QeeiXgutwvIsPuiYMxIc7t5NX7Ms5ZdrkTsRKTFZvNhtVq4epxYzh5shMffvghGq2W8vJyoqJjGDf+Wr5b9g1Dhg7j9dde87ieW7bv5L233+Chhx6ie/fu53Xe7ti9ezcrV66kS5cujB49mri4OB5/cyEJ/Ud5BA28ySPEa/F3YoSnbEJYngnCmhjmR0qe040h3Ffn0l/LrdrkEg1wjTbL+00BsTomCs24BweMBg3pBSZJ99slItBTauFTMwHypiU2+rhq48WEIbuskgObfubs8UOgNaCMiKdFZHOu69uR7LwiqspLKUhP4dRvPzNnzmzp+19/s4x+AwZiNAYijw8PvHIiG9b8xKCBA+vVF9dGcl8Y6Z0AX8i4EhwczJ3GasLDnfeDiByfLjQze1WKi7ewkLB06NSZnFIrzYyeq49y0i6+W1c1O/CU8DQUMYE6Moqr2H6muIkYXwIUFhZ69WcvLi5u1MTBJmKMM4q1du1aRo8eDTgffvelS/fSskaDRqrx3mX41djt1bXt3gWSfVAt0eCGulgIuJvUN0YiXm5FlUsnKOrZA9IglBjm55RSyPyKE8P82HEoC62PgS5ta5ZrL0Yk1WKx8OXX37J2zSquGD2GK0aPIau0JgIT060/aUf2knX6JD98t4z33npN+q5er+e6MSMYN2Ig8+Yvwc/g4+GtLCdwf8a/saFkUh7VFt/JysoiLi6ezFIzOYdP4adVAQ4qlRVYS12JLTgdA7p06cLp06c9rrl4Xdf/7v/kJF3+t0ajaRDJvxgIDAykXdfebNm0nrHXXg/ULG0Xm6zklFvJLK47setiQKFQMGnCNezauYMjR44wf/58rhg5gs8Wfcr1V4/G381KyFtZa6iJTHqt5OZTY08n0DwyknHjJ/DiSy8xZux4jMZAmrdoQU5ONkkd2jL5uomMHDGsVlmI+dwkb+7cuTz99NN1lrN3R3FxMQUFBcTGxqJWq1mxYgXR0dGsW7cOrVbLvffey4NPPEV5XhbrTh3l9zZteP755wFPguXN4UfuPSyug7t/sHOCUSNZEJCitG4lxOUSMIH0AhOBla6TFoGkaKMUPV57NFeKLot2iCh4bR7GcnLsHskW7ZDLJsJ9dXyx9GMq885y+8xpLNuZwunjx6goOsEr65dhrjJjrbZjCArj4YcfolWrVoAzsLN92xbmvvYWejXScn9MoI6Vv24kOakrbWIjpImFPLLu7XdwR10E+HzHnMDAQE6cOCER408nJ7mQY/dKe3o1ZJ45TVFhAYHJXV2O56519vb6QguVeMstyiiu4nShuVGLnzSh4bjmmmt4+OGH+fTTTwFnv5uSksKdd97JVVdd1WjHaSLGwLZt26iurqZ///5eP3cfxEQHKKQPZ48dYPrAv66gQm2DSmNARC3qshySl7qFGg1ksclKkV1JVaVJImwXiyD99NNPbNuymedemgtwLipd4y8a32cE8X1GYMk4wv4NK73uQ6/X89S9N12U9gnIieX5Qq/X8+OPP5L6zVIuv/E+dH56afD39punpqaSmZlJ69Z/LtHm74723frww+IPuPNmZwlQ+ZJ0q869+Pl/r/PLL63p2LEjzZo1+8u04wqFgqfmzGbRks8oKSrkyOFDdEtOZsGH73P1tRNRBTRzWc4WBK9HTJAUmXSXMYH3in/y1yOvuJIvP1/CRwv+44y4q1SsWvkTRw8f5t577qpTKz1oQF+OHDrApk2b+P333xtMjFeuXMkXX3yBQqGgsrKSxx57jD59+rBu3TomTpzI8uXLyc7O5sphg/nmm28AuPLKK73uSx4Vli9ve3MjkcNdAgGeUiPhaxxo0MiihJ7kWE5gM85tLwrK9IgJYmeG05f+wOkSYkMMLuRctMOdSOnPRTu9td89gix++127d1B88jBvvfEaAQEBDV692LV3P+07dKRZWJCLbrs0Pxt1SHPiolu4vF9sslJs8u7M4A3e+psLXYUUAQeLxYJWqyWn1MqEpGYAfH3AWVRCEFxBQLsm9/TYjzsJvlgQ53nrVzXH+7NlsptwYXj33XeZMmUKERER2O12unfvTklJCSNHjuTdd99ttOM0EWNg3a/rGTHySom81Gb7IzoHESkWeH7mOPbt29egY52Pbrgx0VDy3DPOSE6pVRoIGgJxLTLLK9H6+gMKioqK8PPzu2gyisTERJYtW8bD99+DRqOhY6ck7n/oUWJCanxE/apKWfnTF4ydcutFacPFRmBgIHfeeScPPPAAA+OMGP30Ljp3AfHbFhUVNThh7J+MMQM68+syX/bv3UN8u84unyW2jKXZzbezbfNGPvtsKc2aN2fmjBtJTPS+pNrYCAgI4M7bbyM1NZXWrVtTUVHB999/z7xXXiaxUzfuv+t2ThfWPC9OBLnso0SmrXUvIASufZLNZmPf3j3odDoqKysZO/5aLh95BWazmUcfuo+ffvqJIUOG4OPj43WCoFarueWWWxg3bhxRUVENPs/y8nKioqJ46KGHWLhwIWlpaYwYMYLPPvsMvV5Peno66enpDBw4kDvuuIP+/ft79AU5pVavEgN3CDcL98m4u8cv1Dg9iIQ9QQZjQgzSKpizDzZIMgiRZC0ny3LpitGg8TphERD9jbckaiGfc5dreKuqejIrm20rPueRB+8/72IFQQF+nDqZRk5BMftynOfcOyqQHbuOEhoVx9mSGj2vXLdeVwJaQ3A+QRk5MbdZdGQdPU2x0t9lm3mj2/HIipqS9oL8DnEcpU//QUQERHgQ4n7xRhc9sNBgi+iuO8luKOSrGHJSLG9bEzn+a2EwGFi+fDnHjx9n//79gLNAW/v2Fy6f84YmYgxERragoCBfei2iDrHnJBTuVj3yDnBwXJjT69hq58Cho4SEhtIiovH89P5qiAiHiIKA98IjQmssdHbimpwusaD2D2bBun3cNarnRUu869ChA3PmzCElJYVhw4Yxffp0p3m9XUW4r44wg5bPP/iQDr0vY8KIxhPl/9V46KGHADDbVei8RGhqypE7iXFgYOBf28BLAIVCwbjx1/DlF5/xwstdSC9wK4wQ3ZtOXbpTXV3N3u2beOWVuYy84komXHP1XxI9VigUUulbPz8/pkyZQu/Bo3j3tRf54N23GTr2enz9/HE47FjNlWCtICk6kLVHcyUdvztE5BOcxMZmtfLuy7MpyMvBaAykstL5/H371ResXbOKQYOHcs0Nt7Ju5XIWL15MQEAAycnJhEU0p7i4mOYRYYwcORJwJh6eDykGuPrqqzGbzcyZM4err76aHTt2SLKKxMRE5s2bR2VlJe3atfP6fZEIJyeycimY6G+9ufp0iQj08K4WqK3ks/t+5SR1Z0YRPWKCXPYpn5CUmKySBCPQjUCDd0IssGB7uuR8Icixt8prADt+/pqELr2lkrfng169enHkyBHeefN1okc5V1KGtQ3n6MkITCVF7MsJkFw3RFuKz/0TE4bz9cU/H1LsHl1W6fwoLcqDAH8p+VJM+OZPTEKvdo0Il0d2IjAo2KtNnDtqs5WT/91QQut+vOhgpye0SBa8UNLdhD+HhIQEEhLq96m/UDQRY0Cvc+1M3bNV5Xpbd2cJ8cB36dqNQwcPolFrGpyl2xho7GM1pIMUy2/efDpjAnVkGkOoLMqnqqrqohFjcEaNRSSwdevWPD37CboNGknvPv349ZdVmCsreOSWyRft+H8FIiIimDLT1ZfYpVrWuYz9xAgDRUVFBAUFedvN/zsMHtCPtWtW8+vaNbTtMdjDnst5fTRcNnwESV26MPel59H7Ghkz6rJL0t5WLYJ58YXn+OTTxXww72maRceTemgvdrudLUol77w/X9pWTvhEIQmoKWRSbLJiqTKj8/EjONiG2VxJeEQEkS2iGDp4EDqDPz/9+D1n1/3CbXfcQ1x8PIW5mezcuZPMzLMYjYEsW7YcncGPIQO9y8fqg0ajYcSIEaxZs4a8vDyKiopQq9UUFxfz008/0bx5c7799luio6O55pprPCzi5OeYGGHwIGfefHtF0QyxTUwItVYLlJduBtd+Ujw/05JjWbQrnczySiICwj3aJSAIsXAVKTZZJcmZaBfgYme5M6NIIszfH86U9nVL71gPCU24r47jGafJPpVCv7E3eL3eDcENN9zA7Q89Qf6vP9F9+BgsFgvJLVuw50yNLE5cY6NBQyzOqLhcfiKPrDcW5FIZeUnwU8ogIiL8UWhc7SXF54JsTl96gFU/rWRn1nBpm4YSUbl+WY76inSIan7uEMl83rTMAZgZeGkWhP9fQ6VSNXjb6uqG5XrVhyZiDJw6nUmb9k6NsLCI8VZ6VA5h/q5Xw5kzZzh16hTl5eXEtmz5F7TYicZwmvCG2jKP5QONiKgYDRq6mGqqMg2OC8PWoT0nUo9SVdUfPz8/LgQi4tZQPP300+zdu5ePP13MhhVfodMbuOK6Wef1UP3dUFhYSGFhIe1bRaHWe5aNlf9OKTkm8guLiIuN+aubeUmgUCiYOeNGXnjxRV4bMAioiTzKUWKyEhYWzsBBQ8hIP/mXtU+tVmOz2VzkA76+vtxx+6388ssvfPTRR4SHRxDcsi0ZB3dx8mQaPVp3YGdGkaQ3laKpbm4WGQUmMGiYfOdjJEUbycnJJi83l+ysTD77bCkFBfk0bx7JVWOv5s3X5tJ/8DDGj7+aq66eIBGjTkldmPvSc/Tr3fOCk0u/++47LBYLaWlp9OjRg6uuuoq9e/dy4MABtmzdyrixYyktLeW5554jICCAFi1aEBsbi0ltpEM35yqOIMVCFiH6ETnGto90ykp8PItseEsgk0NejEhAJA3LtcmSFliWTCz3K3a3UYOaBG336HVJpVWyZXOPJgs5QbivjogAjeSPvP/Xbxk8eDDja6m41xCoVCoeufNmnnruBaY9fjd7du9iy6kSwmK9R9ZE/+0th6YxIb/+8n37B4aQnVtA8xZRdSb9lZ86iLFtL+m9hpJica/Mn5jEC2tdy1YLX2bhrww10gt3eDuenLQ34eIiOjqajIwMEhMTmTp1Kv3797/oK3//emJcWlrK0cN/cN0NM6WZsryzqO2BFR36x598yg1Tp9DOPxBfXz+XMtJ/l6hxTmntNm7yfbjDfVtxXUSUEmoiLGJ5E6Bjcj+2rfuJnX+kMHJww2UMNpuNpUuXsu33nZQUF9Hnsiu5e+b1DfquRqOhZ8+e+EYmkn32NEN6dPjbVrRrKHbu3ElS5674+fnVTE5kEVGzzUkMxMBzOiuP+MSGuwr809GqVSuioqI5fOgPIloluUxm5U4VgZUaKhQGMrOP/mVt02q1WCwWrxp7q9VKcHAw1025gVMn02gfcyUdOnbiUGa5tI2QKolzAc+qf0afc9E+dQABkQF07JTEkMuGU1FeznfLvmHtmlX06JHMvl3bwW5h6rQZVFodmCoqaB4ZiUKhoLy8/IJ16dOnT0er1XL69GnGjBmDXq+nb9++9O3b12W7pKQkLBYL2dnZZGRksPbHz4hNaMfQzrENqgr6/eFMpiXHSlFguS7Zm2ex+L/EZJUS6cDT+s2bRllALntwt2pzJ8LuUWaRyJcY5icl7m0/UwxARnGOs92BOn445vy72mImY8MGXps3t95rUR9OnTqFTqWgymzm2NGjhLUZ4PK5t36+oUWs/izcE/0Mvn7kZZ9Fp3IAnkTHZrNx+MABPph1GSEhIQ3OV/F2jnLbNnmhkrqIrbt22RvkpLmoqIi1ay+8ym0TvOPUqVNs2rSJJUuW8MYbb/Df//6XyZMnM2XKlEbXFgv864nxkSNHSGjVCv8Ao6TXBO+dhRwVVdXs2vcHV427FrVajVrtGhmtTZJwvjquuuDNHkgOeXKLMMh3h0gMAVfi6251JPR/+gCNy8Ak9zUG5yCh9zFw5XWzOHV0Nwsys7n9hmsb1KnN/+gTDuzbzRWTb+Xgrq2cPHaowddCnG9ogC8dos5fo/d3hVar9VhmhpqBW6+uMayvKCvBGPjvkFIIdOrYgSOHD9OjZ+9atyk2WQkIDKEwP+cva5dOp6OqqgqDwfWZW7lyJZ9++ilarY7VP//EnXffR2BQEHp1TbR02rmoYUaByaUqnlfyJ3sW5USv89DxqIzNKCspwsdgYO2a1RzYt5fCwkIsFgvNI1vQKqE1q9asZfJ1Ey/oHH18fJg5c2a928XHxwPQtm1bANLS0giw5rFgu/ftRYEjuU/wol3pLhUAA2UTIHE90gtMLv7P3uDuHSwqj4r9D2sb7nId5T7F8uPKo/ry/cnbLIfwvxWQ/110cDPaiJY0b968zrY3BKkn0hg7diw6vZ4rrp6E0aCRZCnCox+8jx1yHXZjk+NYt7HHbHOu+vj6+lJRUVHryqJGo6nXe7k21Nb+2qK9d/ZxPnfna5nahIuPgQMHMnDgQN577z1++OEHPvvsM7p160b79u2ZOnUq119/faM8PwJNxPhYKrFx8TWk0IvZuzscDgfFFRaqKisJDfT1ap8mOpacUqtTmnEBHsM5pdZ6XSxq80U223BJ1hEDq3w7QYolu6tzy4giwSSwUuO1OpDc11lA+KuKgSO+bScCfVSsWvEDr7yVz+yH7qrzPEpLS9n46xrGTZjM5tXfUVpUwDNznqjzO+64VI4fFwsajYZqmzOb3L0UbrHJSpLBKN1nzQM0FBfk0iHBszzv/2d07NiRD+fPp7jC4rRCc5vYivs3ytiRlUsrSEtLk4jaxYRWq6WqyrN07JYtW4iJjaVde+eKxksvPMPsp59nUYqnC4zQTUvyiXMQfZVRlrDkHv1UKJV06tGf2BADeuW1vPzSi6QdP4ZWq6Vbt26o1WoOHjzIsaNH6Nu7J7GxsZJGvTGXKdPS0tiwYQPV1dWo1Wp69eqFQqHAbDZLo48gpPIEw/QCE0nRRkkK4U42RR8kIEoti+uQFG306ugBrq4M4b46wn110v7l19Hd+k1sIzTFAvKIsrdEvC4RgS5kSx4lzzq8m7JjO2lx5S0e37sQ+PsaMJktXn2yvXlEe0N9AZfzQW0lv8UxQkJCyMvL8yDGxcXF/Prrr4wfP/6CjtuQsbYpYe6fB61Wy7XXXsu1115LUVERX375JYsXL+bRRx9lyJAhrFmzplGO868mxoWFhWz4dR2Pz34a8IwSyx8ueWdhKink51V7mDpxvMcDKJctuEf4qIdwy2fpZpvrsrk33a98WVEulRCdkdwXVWznjTwafWocJsC1/GzxuYxsdwg5hXz5WvwtBhedXo8hJJycnEyP77tDpfNl2IiRrFu1goTERJ598hGPaNu/DXq9nvLyctciLj4aUo6fYNHbz9O7d29Qqrh67BiqqqoICw39V7hSyNGmTRtKy8rZs28/3bt2AVxXQIrKq9i7/wC+KisGg4HCwsK/jBiXlpZ6vH/8+HFCQkKwVpmZPutWSktK+WH5t9BhKODU6MsnncJvViA2xIDdbuepx+6jebNIrp88hZjYWBe9LNQUuBBJiM889zyFZWYclnLWrFrJiePHaZXQmuOpKTz19NNUmc04HA5uvf0uLhsysFGuwbZt23jzzTcZOXIkBoOB77//nk2bNuHn58fuCl98zjVZOOCIin+i/xCewXKCDHjVXrvD9fxr3hNIjDC4kDaHw05qRjrF1eUU5GTyW3kROaUVqIMiCIxsSZa+xhs83Ffn4u4gT8SDGuI8rG24V4Imluc3b97M71t+4vmn5zTaPenv7092bp7LeyIqLoe3AjJyNEa0WH593ccd0Z8ZDAYqKytdckqys7PJzs6+qKS4Cf98ZGdnk56ezpkzZ/D19SUmpvHya/7Vt9Ann3zCgEGDvCbMeXu4xHuWShPVLbt6JcXuRDUiQENOaf1eneBqvSU68ZJKq0uFpMzySrpEOJPdIv18SAzzIybEIJEnUaFOwF3q4H4++gCNR7lUAUGs3Ym5+3mLgVycc5twPStWrSX/zAl8HFXc99ij9Z67r07FLTfNJDquNXt2bkev19f7nf/vsNvtpKamcuz4KekejQjQoKnMw2DwpV27dlRUVPD888/jcDgYNGjQpW3wJYBKpWLy9JtY+vEHJMY+h9FQEzHfu3sXS5YswuGAyObN6ZiU9KfLHjcUOp0Oi8Xi8X5ISAitWrVi+KjR+GgUTJl8HQ88+CDJMd2wVlYw+42HeeWt+aQXOPXxZSVF/L7+Zw7t3orRGEBoaBhlZWVo1RratUlg7kvPo1Ip6dOnD6NHj6a4zIRBp6ZV8+YeiaeRQXrMNj3jr5nIHbfO4oknnuC1114jtmUcffr1J/3UKc6cOc2KFSuw2+1cddVVfyp6vHPnTgB+++03fHx8GDx4MPn5+RzPOIta5ySPcg2nIEtJ0UYyCpx2bvWt3oFrlFcubXDvi0U/KJL4kqKNfLT4S04eO0j2mXRQqWgeGU1IRCRd2rQi1gKb9x8i69Au9nxTiH94JLHRsfwRHkKGMYhuPXrj6+cnkeSMApPUH4PryqEc+fn5fPfdd2zbto3HH3+8USdq/v7+/L5zD4XllcSFu3ohi6qK4np5C3g0FuRjSn3ShICAAEpLSzEajdhsNoxG4z86aboJFw85OTksXbqUxYsXc+jQIUaOHMlrr73GmDFjGtUBS+FozALTfyGcQve1DBs27IIsqnbv3s2CBQt46623POxioO5Z55MLvyW6fRdu69dKek/eEYjEPLEfF8J8znjeG0RyiNzfc8PJPK/beoN8iU+e1Q41UWDXClCummdxDil55VKEYVpyrFeNtGinvHM1Fefx67o1/LZxI61aJ3LZZUPp27smm7ghePyJJzlxPBVwTlz+zVHjiROd2s/IqGgee/plAn216NXwv08WodeqmTzZaUVntVrJysoiOjr6L6vy9nfDY7Ofps/gEfTu6ayQtXnLFn78ahG33HYHvXt0uySJmMeOHaNNmzYu761fv54FCxYyYuRIZkyfBsCCj/7HwYwcAppFk7LhB9p1TKJ5fHv+2LmZvKwzAChVKjoldaZ9+460iouhXbt2aDQa7HY7Z8+e5fvvv2fnzp2oVGpUKiXh4eG8+OKLXttltsEzc57gukkTadu2LcuXL2fXrt2cPp3BXfc+wHtvvyF5Md9xxx0MHjy4QedbXFzMqlWrWLZsGQsXLiQgIACHw0FmZiaFhYWSP++9T7+CSqvjzdkPeG0buFbCcyfH8minvES0kGO4ozZynX7qFC+9+Dy333ozCQkJhISE1Pr8lJeXk5KSwtmzZykoKiHtVAbpaalMu3EG/foPbFAE9vjx43z++eekpqaSnJzM9OnTMRobV89aWlrKC6+8itViYdZtd5PQMsqrFAXqj2yfL+TjF3iONe7bgvO6VFVVcfbsWeLj46VCWV26dPnzDfqL8Wc5yfli7dq1KPX+RLVueE5NWWEeaQd3cOWVV/5jxlaTycSyZctYsmQJ69evp2fPnkyZMoWJEydetIJW/8qIcVFREXPnziU5OZmDBw9SXllFaRW06diFlmH124uptVocDodLNECuB6wNxSarpHlcsD1divieD/n1VuHHHXJS7M2X0xu8+TdDjZ9obdm56QUmOrbw58uvvmLDL6sYMHAQL7zwPH5+fl41lvXhjttv48iRIxQUFPzro8YDBw5k06ZN2G1WNv2ygi5du2G3mtm0Yb0k/wGnFrkxl5H+SXA4HJw8eRJTWQl6lVNjnFdcwY9fL+a+Bx6iS6eLk7V8ITCbzSxZsoTqahs//7SCoYMHERsbS1VcTyoPfkp5fhZDr7uVsvRDpB8/wsTxY1mwYAEzZt1CSGgomzb9xvJlX9OseQtaxcUSERFBs2bNSEpK4q677qK8vJyVK1dy9OhRCgsLAedy40svvYRCoeCmW++gdaKTqMfHt+Lw0RS6dOnC9ddfz3XXXUdVVRV6vZ6Mk2P49ddfiYltyU8rf2bQoEH1Trg2btzI+++/D0BwcDABAQFSOfSoqCiXAiJP3XMzDzzwAMeOHSMkJITQ0FAPTat8lctbPoM7esS4EhG5Drs2zWxFRTnNwkOdkqR64OfnR7du3ejWrZv0XkpKCq+//jpHj59i/LWTCPLTeRzL4XCQcuwYq1f+QEpKCuPGjePRRx+9YIu8+hAQEMArLzzLwo8X88Wi/zL7qadJijbSM85Y63ix9miuVP1P4HyJsgiquPtTNwQ6nQ6r1cq2bduIjY0lMjLy/A7ehP/XiIiIwGQykZCQwBNPPCF5oq9YscJj22nTpjXKMf+1xBickbYff/wRnd6HrJxcVn33JYMG9KN3797ExsbWOhjofP2lz+QenODpRiH5Y+KM/spn7pnllV6TNQRhlkPIJeQQZFVUkXKH/L3als1EG+WRlsQwP6/tci+VLbSPXyxdwqGDf/Daa68SFub0d87JybmgpY3o6Giio/9dCWS14Y477mDmzJlkZ2fz2dLPWbd2DdU2G1NumE6bhJaXunmXHFarlRdfepmzZ8+Q1DWZVq0TKTFZKczPQ6lQXHJSrFQqsdvtUrT6gQceoKysTPo8MzOT2NhY7r6sIykdnyUxwoDFYmHhR6mEx0Wx6bfN9OjVm/4DnRKZyJaJjJ80laOH/6CsKI/s3Fx279nLe++/T+duPfDVqdm0aRO33norDoeDZ599luPHj1NVVUVwcDBvvPoKV111FSOuGEPX7sksXbJIcqRQKBTSRHTq1KkkJCTwn//8h8rKSjZt2kTz5s1p1qyZ11LFDodDIsV9+vThtttuq5NIh4aGMmbMGN577z0KCwvp378/l115DcbAIBcJmjcC7E52RbRYvq27bMzdeUcgKiqaM2fOuPxG54PExEReeuklnnvxFd5+7QQ3Tp9Om4Q4QOH0t8/K4/V5L1NVVcWwYZdx99134+PjuTpZF7Zu3cr69et58sknG/wdpVLJjVOv49Zbb+XUqZO0bBmH2VbjduKetCj+l5PjhrhSuOe5wLnKkxeQaK7X64mKiiI8PLz+jZvwr4KYPFssFj755JNat1MoFE3E+M8gPj6er776yuU9u93O4cOH2b59Oy+++CIBAQHccccdtGpVI5coLS1l7969HN+2lpgO3ThoqCCyRRSgoqy4kHC1HrPNOwF176y7RAS6JMfJIV+Ccs8k9tbhCOmG3GFCkGLRUYnOsLYkCPc2ivYJgixKm7qfR0lRARvXr2PevHkSKQawWCz4+/t7vRZNaBiUSiUGg4H4+HjmzG74wPhvwYqVq50E8JW3UanVNQmo0c2pKC/DarWi0Vw6pxKNRoPVakWn01FYWEh+fj6dO3emc9fufPvNVxSV1vgWi+d95579HDl8iE5dk4mNT6T/YNdKfWFBfoT1c/UGP3wyi7Url7NhwwZaxsVz9uxZ1q5dy4033sisWbOYP38+I0eOJD4+ng8++IDt27dzy+13kZ+XS3ZeEc3Cgjhz5gzh4eFSJLN37960bduWN998UyK9LVu2ZO7cuV5J77Rp02jfvn2D9bIiszwzM5P//ve/bFm/iuun1AxqZhuUlZVx6I8D6HQ64tt1lj4TuRhrjzrzKeR9qNyeUqyAyWUZcgQYjej1enJyci7Y6ikkJITX5r7Et8u/5/V5L6NSqwkNDUOpgKysLC4bfjkTrx1/QcT7u+++Y+nSpRe0LK/T6Rg49HJWr1rNrbfd5vKZeE4yzlXdEyipbJimW54z4+4p3RBC7M2y9I8//iA+Pr4pKNIED5w6deovP+a/khh7g1KppGPHjnTs2JGZM2eyYcMGXnjhBUaNGoWfnx87d+4kNTWVdu3aoVWryD66l2+P7+bM6QwCgsPIyzpD1+7J3P/gI4AngU3Jcw6CwppIaI8BlwjIgdMlFJus7DhZQs+4mvKZojOpzQdZJNJ50y+LqHVtnZb7rB+chFokTYglOHmZUwBTcQG/L3mT5H5DPbwmL3Y56CY0obyslOBm0ZRbHWCtGdR1Oh0BAQHk5eVd0mVZ4WWs0+morHQ+N/v37ycwMJC+/frzyX8XMrBfHxerqr17djFg0GDGXn2Nx/5qIy1+AUbGXXcjd99xOwqFgtfnvYzdbqdLly4EBgby/PPPS9s+++yzrFixgpdfeJaqqirMZjMHDx7kueee4+qrr+b662sK6gQEBHDvvfeyZcsWvv32W2dRkuuuIzAwkLlz50oOKAqFgtGjR5/39UlLS+P7778nLS2NIUOGoFM5OHv2LLt372bbjl2cPpWG1WolsU1bZndPBmqinYIUAx6OHMUmq4trhHhPXEPxXri/GrVafUGSLzk0Gg3XTbyWideO59SpU5IbicFgkErWnw/sdjuff/4533//PQCvv/76BbUrJjKMA4W59W4X6EVCUZtdm5wU1ydv8QZv49eXX37JNddcQ1paGtXV1U2Jd0245Ggixl6gVCoZOnQorVq14ueffyYzM5PLLruMhx9+2EOwbrFYOHLkCF9//TXWKjNqbF6LWQhCKayJ3K3c9AFO4irPqpZHiOvrsOpCXbN4vRoPGzl3cn1Lb2eFKnd5RW7qAcJadeDB22d47Lepg2vCxUZsTBR/rNngkgRaYrJSVlaKyWS64HLkjQVR/Q6gRYsWfPTJEo4cOsiP3y8jICCANm3auES0d+zYwe5dO3n2+ZcBT22teA9qiEiJLG9BRHKfePwx5s6dy++//87ll1/u8n2lUsmYMWMICW9OaUkJLaObs/rYEQCPqOnRo0d55pln+OCDD7jqqqs4ePAge/bsQavVXpD+3263U1FRIa0kffLJJ1gsFvr06cPmzZv57LPPsFgsdO3alXFXXUlmZia//fYbjzz8EObyYo6lpoHdii4sTtpngq6clSu2M3joMAwGg2cVOhfbO1fru0CdnqKiIhf985+BUqlsFIeJZcuWSaT45ZdfvuD72NfXl8LC4nq3E89PSaWVlByT18ivuxxFGpcCPK1J64N83/n5+YwePRq1Wk1QUBBFRUWEhoY2fGdNaMJFQBMxrgOxsbHc5rYM5Q6tVkvnzp3p0KEDL730EgsWLOD222+nqrpmuVEe3ZBDbuUminkkRhjIKXVatAl7nbqs0s4X3uQYItpc2/buuKV3LOVmG499tpcpNzSOpqcJTZCjIRUid+w7TFyrVpJcCKCqrJA3X36BfoMu86qH/Suh0+koKakhYgEGLb16dKNXj27k5eWhUCikVZWcnBzee+89ptx6P2a1v+TDCzWEJF1WQEcOeXEi56RWwcCBA/nyyy/x8/NDrVbTs2dPFwlEv949pL87d2zPwIED2bJlCz4+PvTq5XSSEYQsMzOT0NBQ2rdvzxtvvEFkZOQFSQNOnjzJ448/Tvv27XnmmWcIDw9n06ZNtG3blr59+3L99dcTHR2NUqkkLy+PTz/9lFvvuJvcwhKenfMEsbGxqFQqUo8fxz8kAoOfkW+zThEWFk5RURFTbpju9bhGg4aeAUaPXAyHSoePjw8lJSWEhISc9/k0Nmw2G19//TUrVqxApVIxc+ZMFynf+aJ9+/a89/77VJpM+MgCOt6eKXkVRSE9cU8kl3vlu+NCx6XNmzczbtw4AIKCgjh58mQTMW7CJUcTMW4kqNVqHnzwQWbPnsO3337L6HHXemwztn2kNHiJspvypT2BiAAN6eeq0HkjxxeKhszqa9Mx39I7Vooa5JRa+XXNzwQYA+ndo5vHtnKz9iY0obFgtVr57bffAAgMDOTogd1Mvvle6fMzZ07zyovPc/moK7j26rGXqpkS5BFjOex2O/PmzaOsrIxrrrmGPn364HA4sNlsbFn3M0EhoSS5VTBMlxWnEFXf5DpagENHj+HTMZEAg5Y+ffqQkZHB+vXrOXnyJGfPnuXqq6/2+lw2a9aMiRMnctddd1FQUCAR45iYGObNmydFVJVKpfT3+vXrMZvNjBo1qsHXo1WrVrRu3ZrDhw+ze/duDAYDvr6+dOzYkeTkZMrLy/nll1/47bffSElJAWDp4k+JT2jN8OHDpcSaqqoqUlNTySssJiHOSZafeOJJuif3AL8WtR4/McJASo6JDb/+wt6t64mJikStVl/ylQVw6pHfeecdtFotUVFRREdHM2zYsD+1T6PRSEJiWzZuXM/IUVdK74txwD26LoIy3jzvoXGCMgLV1dUsWbKE6dNrJjNipdVm877q2oQm/FVouvsaEb6+vjzxxOM8+eSTtGzZko5dkiW7M6ghwSI6LEiot6KZPeOMUuWgA6dLpEiRuwWON7Jbr3SiHnjbpyDF6QUmCnKzWPnjMmbc+ZDXgdZisVw0O6Im/Dvgvty6YuUq9uzeicPuICcnGx8fH6ZOn0Gfbh0kz93/LviQUVdcyTV/A1IMNcl37qiuriYrK4vu3buz6bfNLFy4kHnz5vHf//6Xd+f/j7XLP8MxybuzQ212kOVFOXz42nMEBgbRIiqKvv0GcOXYa/D30bB161beeustunTpUutSv3AD6Nu3r8v7LWXFjzIzM8nOzkav1/PJJ59QWVlJr169zstL9Prrr8dkMvHjjz9y+PBhwEmIhJRCq9WSlZVFSEgIZrOZU6dOUlCQz8svvyztQ6fT0bFjR5f93nDDVJZ/8yVX3uj0Rs4oMLlcK7MNKk0m1i5bzIE/DnDrzTeRk5PD9ZMmXtJcCLvdzvr161myZAljxoxBodLw28b13HzzzY0SXLhh8nW8+OKL9OzVR/qd5i9YyKSJE3A4nPIbd422QGNXkBP7q66uJiMjgylTpnhsExwcTGFhYZM7RRMuKZqIcSMjLCyMyZMn8/5/P6WiYB6G4HD63viwZK0mSLC3yKz7e7EhBo8yzTtOltRpnF4XGtLRudvNiXbJkZ56mGYtYunQ1rV4gUATMW7ChcJms7Hxt62cOZOBzWbD10fPho0badOmHRMmXU/WmQy2//477dp3YMDAwdL3ft2wEXNlJePGnH8S2MVCbcRGo9HwxBNP8OqrrxIT2xJwOhDcd9993HXLDB56+GE+fPkxug4ZTVynHtJ+wn11UplksaydXmCCAlDZlGi0Wu66606Ki4v58ccfyc48TUlJCXv27GHKlCkuJNcb/ve//7Fs2TK++uorqbiMQElJCXPmzKGsrIyIiAiuv/561q5dS3Z2tkS4jh8/TmZmJgMGDKj13Dt06MCtt95KcXExvr6+PP/887Ro0YJJkyYBTtI7atQo1q1bxy233MLhw4cZM2ZMvURpwIABLF++nJ8+X0i3/sOITmrn0n8d2L+P/300n4TWicx75eVLKrOx2+1kZWVx8OBB1q5dS3V1NQ8/Ppv4+FbMe/kFrrnmmkYj6wkJCQwcPITXXnuVW+5/ktXLP+e6qTeydcNqQhKS0cvs48y2GpeJCxlfGgqz2Uxubq7kRytHYGAgJ06caCLGlwhZWVksWLCA1atXs3Xr1kvdnEuGJmJ8EdC7d28++OADACI7JLsUxxC64gzZ0qi36k5i24iAmtm8iCAL1wqoySiWlyH9sxD7OHnyJN8uW05RUREhISEEh4Ri8A/EqFeTfvwIRw8fJKJ3V4/vV1VVNRHjfxHWrl1LfHw88fHxlJeX8+GHH3Lw4CHUahW333473bp1a1D0q6SkhHff+4DS0hKSOndBp9NTWVnJxOum0Ldff8xmM4s++R/JyT2ptlW7fHfz+l+YMOHav13Cp8Ph8Cotat++PfPmzeP777/n7rvulHSVBoOB9959l6/XbGPDiq+wZh+n/7gbXb4vbLWMBg2Blc5k3Wq1Ly1bd2DDb9u4+45bCAsL47nnnqNbt2688847DZILWCwWVqxYQVBQkAcxTktLo6KiAoPBQEJCAr///js5OTmS60dWVhZPPPEEAF27dq3VqrGoqIji4mJuuOEGLr/8cqmfWLhwIXl5eYSFhbF3714sFgu+vr7cdtttWCwWtm/fTvfu3Wu139NqtcydO5f3P/6cHxb/h8/LSwk0GgkKCsLhcFBYWMisWbMkmchfjT179vDrr79SVFTEmTNnUKvVdOjQgdFjr6ZHz96cKTKTUWBC5RvMqrUb6NKlS6NVJpt83SRumDadyuJcbr3lZgAcdgeVpnJSDu4lKdpVDuOt0FNjIT09nZSUFIYPH+71c5VKhUqlagquXALceuutfPzxxwQGBv5jquJdLDQR44uAEydOoPUNoNeUe7h7WJL0viiZKYd7JyT3I3bPDpbXuQdXmx0pWec8zNXdI8Hie2lpaXz99dekpKRw5ZVXEjd0CAUFBWTn5nM6/RTVVjNjxo2nV5d2Xvfb5GH874Ddbue7H1bwxdIlaLVaXn/9dRYt/gxbtZ0XXp7H8dQU3n77bQKDgpg5YwZdunTB4XBw7NgxUlJSMFnBYPClKD+bE8dTOXUyjV59+nLP/Q96HRS/X/4NrVolMHjQAObOnUdcq1YUFpdRUVpEbm4OycnJl+Aq1A21Wk11dbVXzWRYWBg33XSTx/tKpZJJI/sxdnB3Hn/8CdL2bGLoiFEYDRqP/iMmxEDMubyxlnffyYvPPc2qVasYNWoUS5YsQalUNnhJPigoiEcffZSQkBC2b9/OO++8wxtvvEGzZs3o2LEjkydPJj4+noSEBD7//HPGjBlDYGAgmZmZ3HfffQC89957dT77wcHBLFmyxOP3NRqNUnnkwYMHExcXR3R0NMePH+fd994nK/Msjz32mEvlOXf4+vryyF034XDMwmQySSS8qqqKTp06XVKilZKSgsViYcKECURFRRESEkJVtYLiCgtniswAFFVY6Jjcj5+++Ijbb7+d999/v1H0z1arFV9fA/6ysabf0JGUVFpR2SrRqRwuyeIXC6dOnUKn09WrnRZyimbNml30NjWhBuHh4Wzfvp0DBw7wzDPPXOrmXFI0EeOLgMrKSsIC/ZnRO16K7ApZhHuE1xtqinSUSF7C4CSu4rVws5A7W/xZmG2w7bf1LFq0iLFjx3LPPfecd6UmcEaM/w5Z3k24uPjqm2Xs3rWT51+ax4ED+7j77ruJjmnJzNvvJTQsjNCwMHr27sOO37fz7vsfEBIWQXlpCTiq6dChE5ZqOxXl5TQLD+PyUVcSF99KWpZ3r8hYXpTD+nVrefVVZ3XFayddx57du/Dx9Sc0OIh77vNOpi81hJfxhSQT6fV67r//Pp58cjYDhgwDNFLiHXjauQUEBHDHXffy8gvP0rNnz/N+BhUKBd27dwfAZDJhs9nYt28fI0eORKPRMGbMGACOHTvGDTfcIJ3Tvn37AKdHsnwJPC8vj5dffpnbbrvNxc+3Ib9TbGwsP69Zy1eff8bUqVNZseKnBkexFAoFvr6++Pr6NpoV25+Fv78//sZA2nTojMph5csvv2TUVVfz/VdLmD5jFtnZ2QRpVPz421oSWkaza9cu8vPz/zQxttvtvPTKq3Tu1oOoKM/iGf2TO7Hgo/8yfcYsjyTwxoTdbker1aLRaOqdqBmNRlJTU5uI8V8M4Xd+4MCBS9ySS48mYnwRkJSUxIYNG3julde5dtZ9gGtWudFH4zKouZc5NfpovJZ4lkPuZnEhJTjBVXZhtsGa1T+z4vvvePrpp+vVI9YFq9X6tyQpTWg82O12fl33C/fc9yCxLVsS27IlyX0H4+NjINDX+ds772clvfv0JSSmDccO7cfH4MeQvskolUqvPr0C8tUMh8PB//77EVeMHiNVV7zi8uFccbn35di/E4Qzha+v7wV932azoVIp8dV4t9Fy9zUODG9Br34D+e//PuaRhx+64Ha3b9+eF154gYSEBJf3T506xZw5c1CpVLzzzjuEhYVxxRVXcMUVV7hsV1payp133gk4/ZnPt9DFwYMH+ebLz3l8zjNENw/no48++lN90qXCiRMnOHXqFBs2bKBnn34cO3YUa2U5V4wZj1arZcKk61mzehVBAb4sWLCAli1b0rZTD+64445GiRanpaVRmJ/LXQ8+Lr3nnvB9+UjX385bkag/ixUrVtC3b98GWbEplUo0Gk1TkagmXDI0EeOLAK1WS8+ePVmxZoPL+1IRgkrPKkwC7p1WSo7JpTy0sHtzL8zhXkVPbO9Ofmsj0KWFuXz71Rc8/dxLtIyt3fKoIWiya/v/j217DqFWawmNbCm9ZzA4yZ90T8smfjq9DwP6D6i3WpYUDT0nJTIaNBw9cpi83FyuHnvVRTqbiwd51bsLwdLPv2Ds1dc6fWgrncRYTCjk0gpxLY0GDTNuuJ777rufffv20aVLl/M+5v79+6msrKR3794en8XExDBy5EhWrVpVp57b19eXbt264e/v79V9oD6sXLmS0WPGERMTyy+rV9GufYcLKipyKfHzzz/zzTffYDAY6Nu3LxWlxXRokyDppM0256rAgL69+PHHH+nTpw933HFHo7Zh+45ddOueTLB/zbVzl9Dt3bubUc1H12rT9mdRXFzM8OHDz2v1MSQkhIKCgktaufKfAK1KeV6a8GpdE+VrCJqu0kVCcHAwCmuFixRCQB4plr8WkPsYpxw/wZcfr8ZXqyTAGITON4DoZiEEBQURERFBREQEJSabC9kGz85PXlLaGzlesmQJw4cPJ/5PkuIm/DtQUZhFVFQLKTosIN2Hbp11XdIhcCXEAuI+TU05Rrdu3WpNvPo7Q6vVuhT5OF9oNBp8fX3Rq53XMDWzkFUbfyGpY0faJTqLP8gruiVFG0Gt5+prJ/DFF1/SuXPnBk9Sq6qquOGGGwBncQ9vxFipVDJz5kxmzJhR535VKhWPPfbY+Z4u4Iw279q1iynTZ1JlNrN/316CghpuCXepUVlZSVZWFl988QUvvvhirXIO5/2txFzuYN26dcybN6/R2/LHgf2Mv3ai189iQgx8tXQRN9xwA7llVum9xsTevXsJDAxk+/btLuXG60NAQABZWVlNxLgJlwTnX76oCQ1CQkICZ86cobS0VHrPvQy0nAQ4HA5OZ+VyJisPh8NB9xg/ju7cyNcL38AYFkmXLl3wDwiguKiAXbt28dVXX/H4449z+x138PFHH5Jx8ji+GgUFOWcpKCjA4XC4tMc9cizHoUOHOHLkCOPHj//T5+1c+v17OQM0ofHRu3dvUlNT2PfHYanqWnpBTWUxb5Fh99UR+Wv59qJ8b0qOMxp6Ku04reJi+SeitiIfDUX35J788N0yCorLAVj63/+w5/etfPDmKxQWFBATYvBIwgXo138gpWWlHDlypMHHEpHtli1bcvvtt9e57dmzZ3nhhRfIzMw831OqFwEBAXTv3p1tWzazZNEnVFWZGTVyRKMf52Lhqaee4rHHHmPidVPq1TiXlpby+uuvM2LECCIiIhq9LT4+Pti8eGkbDRqqq6uZNGmSlHhn9LkwSV5tqKqqIjo6mubNmzN+/Hg2btzY4O8qFAr0ej1ms7nxGtSEJjQQTRHjiwS9Xk+PHj1Ys2YNA0bICg64RYePn0xn00qnA4TdbpeKFRgMBoKCgpgz+0kPnZ+A3W4n5cQpNm79nS/++x7lZaUEBARgNpvR6/W0bdee5O7d6NOnD0ePHuWnn36ivMJE88hIhgwaSPv27Tl8+DBvvPEGN910U6NYtFgsliZd2L8AAQEBzJo5k/+8/SpXXT2RZs0jOZVdQIuWrUmKdib5uOvo5f+76+sFjD4ajD4aiWSbTCYOHDjAzTff/FeeXqNBpVJRXV1d/4a14LIhAzly5BAffvAu9z/0KNXmMm6ecQO79uzjkYfu4/Y776F7cg/s9nLWr13NiSMH6NerB6OuHE1SUheOHTtG+/btG3SswMBAPv744wbpoa1WKwcOHOCHH37gtttuu+Dzq6stqSnHOHb0CG+//bbkWPFPwKBBg9i7bz9Dh3nXwJttzgDCru2b+fzzz+nevft5RVPPBy0im5OV5Tp5Ec/c6p9X0r5DR4IinOTdaNDUKbc7X/z8888MGTIEvV6Pw+EgNjYWu93e4HLiwcHBFBQU0KJF0ypmE/5aNBHji4ixY8fy/PPP4xfcjK7JTv9MKcHOoGF/Sjpf/OcVRl95BTNnzpQyugsKCigsLCQhIaHOTkSpVNK2dTxtW8cza8oELBYLBoMBh8PBmTNnOHToEKtXr+b999/HaDQyfvx4wsPDOXXqFK+++iqDBg1i48aN3H777fTs2bNRzrnJf/Lfg/79+xMeHs4XX37Fji0bqFZqWffdEs4OG0FcYgcSEtu62AuC02JQyCzc5T/esHLrQZo1a0ZgYOBFO4+/MxQKBbfefBNznnqa9995C4VCQUl5JTdOm0rP5G7Mm/cqAY88jkIBe39bw5Qpk/n440+Ii4/Hbref9+pNQ5MEtVotYWFh9O/f/0JOq1506dKFjz/+mJtvvvkfRYoBhg4dyrp16/jl5x8lJw8Bs80ZJX7+mTn4+Rq444476Ny580Vri8FgoKKiXHotJqZ7du+iVUJrjh09Qp+QEMKDA7xWPL1QfPvtt4wdO1ZyLlEoFERFRbF48WKXMtB1wd/f/6KsSDShCfWhiRhfRMTFxXHTTTfxv48/ocpsZuwVNf6NBaWVLP/kXfoOudxDwhAaGtqg7F051Gq1SycUHR1NdHQ0l19+ORUVFfj6+kqawG7dutG2bVs2bdrEk0/WHpG+EDRlEv+7kJiYyFNzZkuvjx8/zvqNm/h4wfu07tiNQVdO8JjciaSxYpNVSkiVJ5OWmKwEGpzOLH4BRnLy8jGZTP9Y03mFQnFekTJ3aLVaHp/9NJ/8byEn007QrHlzwOkcMXPmDD6a/wFJ3XuS3KMngwYNwsfHh7ffeJXk5GR+/vlnBg0a1OjkskWLFrz//vuNuk85evXqdcmKcfxZGAwGHnnkEWbPno212kFIRBTNQ/w4evQo27b/jkqlIiw0hDlz5lz0JOXjJ9IYPPQywPmMZVRaOXUiha7t2hBi9KVN27bStoI06/+kK0VxcTHDhg3zsChUq9VMmTKF/2vvzMObKtM2fmdfm6T7vpdSaCllK2WVpSyyK+CggMoiM47L6DiOO26Ajs4oMurHMKKo4DYiOyK7oOxIWWQpS2npmjZN0uz790c4p0matmmbNm15f9fVq21ycs57knNO7vO8z3M/x44d85q/7gmDwYBAIOjS5z6ha0JyjNuZoUOH4uWXXsSW77/C//73P1itVpwuOIen//QQ2AwHFs2d1a7bZzAYEIvFXjtv/elPf/KrKAZIxPhOJy0tDY8sWoh/vvM2yoqv47v//ANVRRfRJ06C7HgpXdzjaUfoGa2SCjjIjpfirn7pGDBgAP74xz9Cr3dvbtFV4HK5sHjJ82wJMjEff3nicaxcuRKpifV5q3l5eaioKMfl82cwcICzC2Vubi6eeuopnDp1CgqFAh9++GGbtt3eXL58GW+99Vagh+FXoqOj8eKLL+Latav4cdsPWLNmDa5fv46x48ZDLq9CTk5Ohzj3lBTfRFJyCoD6c8yg14PP58Nsr//6r6pz1ryoDZY2++Lv3bu30RsxFosFqVTaoAamMah0CkLH8fDDD+PmzZuBHkZAIRHjDiApKQkrVqzARx//H3b++CPMJhMmTpyI8ePHdztbMyKMO56qqiocP34cJ06cQFlZGdLS0vDEE09AIpEEbEwymQzv/WM59uw7iB+3fIPdW/6HSTMfwOihA93boXtJo3D19GYwGBg+4i78evgQnSrU1eByuX6ZSWEwGA2q9LlcLqRSKYqLi90idH379sW//vUvfPPNN61qLtKR7Nq1C2fOnGlTVL0zkpqaiue8eEmPGzOqQ7ZvtVqh0WggkwUDqC/M1KsVMBqN8LTKp3L7gca9jClx7S0P2Wq14ptvvsG8efMaHRODwUDPnj3x2WefYeHChc3ug1gsRllZGbEAJXQonfuK2Y2IiorC66+9isrKSnC5XOj1+k7TlcmfEFeKjqGyshIHD/2CUyePo1ouR2Z2f4wYOwniIDE+eGcZFi9eDB6Ph6SkJMyfP7/FDRb8AZvNxt0T8jFh3Bjs3HsIG79cg0u//Yr0QWPA4fIQL2WhTg04OMIm84x7Z2Yhd+gIvPPP97Fi2esduAf+gcfjtcmZojmeffZZrFu3zs0ntqioCM899xzmzp3bIM+1s0E5ZxDh4180Gg34fD54PJ6bA8yIoXk49PMBTJ4yrdFud1V1liYbfbjO8PDZzkLwyspK3Hefd2s4V5hMJhYsWIAzZ86gX79+TS7LYDAgFAqh1+tb3SSHQGgpRBi3M/v378fFixfpE1ypVNIG+v3792+112dnprN9wVmtVlgsFvD5/HYbm16vx5EjR3D9+nVMnTrVq//m+fPnodFo0KNHD4SFhbVqLHa7HV998x327t6FQYPzcN+cuYhN7gk2mw21wYLKslsAgNS0HogZOwe3Co7gw7VfYtU/3mzzPrYWJpOJKeNHYfSwQfjhhx/w/doPnCk+IhHUaiXy7hqHGTNmgsVmexXIDAYDI0ePw8p/vBGA0bcdLpcLjUbTbutPT0/HihUr3B6rra1FUFAQDh48CK1W26omGx2B3W6HUqkE4Dw/srOzAzyi7oNarYZE0jClgS2UYsSIuxo0ifIUyVV1jXemdMVoBXQ6PYqKiloU7DGZTD4tR6VTEGFM6CiIMG5HlEol1q1bhzlz5oDJZEKn0yEuLg7z5s3DSy+9hAEDBgR6iH4lENNdap0J584WQKfTQhYkgkhU/6PRaPD5Dz+i6MIpmE1GsJgsBAWJIQ4KglgcBEmQGEJREGTSIIjFYshkMvTv37/FrVgdDgfe++BDGPVaRMfE4I1lKzD3/j9g4MCBblG8H7b9iNLiGzAbDQgLC8PUqVMxcuRIn6ePdTod3vjHe9Br67Ds7X82KNBUGyyIio3HoiV/QiEjAjxREILCo2FRVHhdn8ViwbfffourV6/i8ccfp9sttxcikQjz58+nm0gAQEVFBd7/98dY+c8V+MvfXgTQsEGNUlmLTz56Hw/Me7Bdx9de8Hg81NTUdOg209LSYLPZUFZWhvHjO68HMJPJxMiRI3Ho0CH88MMPRBj7kbq6OgR5pFNZLRZ8/J+VeP755xtEfUtcfPWpaLFn7j+V4uT6d1lZKS7+fgHjxk/02e7NbDbj6tWryMvLw6lTp5CYmNjo9UckEqG0tJT+fikqKkJycjIOHz6MvLw8KBQKREVFNb9RAsFHiDBuR9Z/9TWGDhuBMeOdveipC4bVakVdXR2GDBkSwNH5H4vF0mHdyUwmEz7/djN+2fcj4uLiIAiSwWjQw2Y2Qq/XQa/Tg8liQZqajQFzHseQnmkwGfTgOEwI41mhUGmg1Wqg1Wih1WpQVlGJgrPn8cnatZg6bQbunTGt2ZQQvV6Pixcv4pNvN4FtrMOyt96F0cZEyMED2LtvP/6zZg3SemYhOCwcDLMWxTeuIWvQcEyadi+qi37Hts0bcfToUfzlL3+hc2cdDgfMZjMMBgP9I5fLcfpMAX47fRoJPXpj+rxHoWfUuzm4fnlJBRwUi1NBZbPyRBLoaspRV1fnlnOs1Wrxz3/+ExwOB1arFb///jtGjRrlz4/IJ6Kjo/HWm6/hjTeXYd/OTbhvzgNuz6v1FmzatBn9BwzElEkTO3x8/oDD4bS5+K6lSKVSvPrqq/j99999cgAIJLm5uTh06BBmzJgR6KF0K0rLKxESEkqLXpXeAqWiGtlZmW4343w2UFhV35wnPVLo9pxnXrGr8NUoqxEk4GLyxPEw230fG4/Hw9y5c7F9+3YMGjQIcrkcV65ccbP/czgcMJlMKC0thdFoxObNm3HXXXfhxo0bSE5ORnh4OAwGA27cuIGamhpotVpotVpkZGSgoqIC/fr1g0qlarHDE4FAhHE7UVhYiDOnT+Mf/1rp9rjzIsNGYnIqfv/99y5rSeQNXwrv7HY7fvvtN1y8eBE3btzAzZs3YbPZwGazweFwwGZzwOFwwOVywGKxYbXZYDGbYDCa4LDbEBoWjpCwCFy9cgkhkbH4wx+fxdjcTLqwxLWl6d7LcpRrDYgRC8BkMiEQiQGIASEHoVIgRcBpMFVYVlaKf61chV9PncWsh/+M4T0j6OcMBgP27v8ZJ06dRmV5KTR1KohCoxCTlYv+ucPB5/PBBzBm9BiMGT0GDrMOuw8cgqJWhcyMDKT3HwZpVBLqjDYMyh2MwQP74Zk3/4k/P/0sJo29C9dv3sKVS79Dr9OCy+NBIBCAx+NDq9FgzPhJ+NOTzyKrVw/UGeqVsNHq0jTjtj/wgwMT8cWpYgDA32eOwhpFIVavXo1nn30WJSUl2LZtG06dOoUhQ4Zg0aJF2Lt3Lw4fPtykMDYajeBwOO2SP85isfDE44/h739/DiarHb2z+qJfdibsduc3bWVFGcbctpzqilBNezqa5ORkJCcnd/h2W0pubi5WrlxJ2v/6md/OFKBXVjaq6pyiWFunxpljhzBt3Ei3Qkejtd4lJtFLS+imIsAmk4leF5/pXJevUWMmk4mcnBxERkZCKpWCzWbj8uXL6NmzJz7//HPcfffdOHfuHAYMGACxWIzg4GCEhIRg7FjntSDjttXc0KFD6XVarVYwGAyoVCqwWCwcPnwYU6dOxfr165Gfn49r164hOTkZHA4HQqEQYrG40xenEjoeckS0A3a7HZ9++inmzPkDwoOD3J6jWkFn9c/D1u07kZub2+lycltLY5X3DocDxcXF+O2337B//37w+XwMHDgQkyZNQnJyMm1npTVYYLVaYLFYwXRYoDNawGKxweNxweXywGQyUVNTjYvXbqLv4JEIjk112w4lDF2JEQuQnxFR33nN0LAtsVTIoRtRFFTZ0GfmEvz+4zf4bs2/kPCXx2CxWLB7/yEc//VnpPVIR1a/XIybOgupSQnYUSgHAFSb7Q26uMlkMuSNzIdKb0F2vLRBG3ClkYGsSQ9AfvU8zhcXIzYmGXNGTYEsNAIhYh4SQoW4erUQYaFhCA4Jqd9PDzHv+j8liF2599578fjjj0Ov12PVqlXo27cv3n77bURFRcFoNOKnn35Campqg9dRmM1mPPjggwgNDcVHH33ULs4BYWFhWLr0FWz7cQ/Wf7oaa41G6HRahIWFo7pajoEDB/p9m4TOAxHF/qe6uhq9hCEoVuhRfu0CDFZg9KR7wXao8PPB/Rg9Jr/Ba5oquPNk165dyMzMREJCAv0YFWH2VRzHxcXBaDRi2bJleOqpp1BdXY2MjAzMnTsXHA4H48Y5uwc6HA5cuXKl2XQ9SuRmZWUBAO655x4ATgsyu92OsLAwWjQXFBQgJycH33//PRYtWoQdO3Zg8uTJADpfnQyhYyHCuB3Yv38/HA4H8vMbXngoYTRw6F04eXgPTp8+3W2+9M1ms1uBRFVVFbbt+BEnjx+FwwH065eDJUuWoE+fPl4vPOIm8tkoBNIwSGLSaBFMiUJvophi72U58jMi6OU9BSwVWaZgsTnoM3kuxMUnsHTpq+AJheiX0w9LX18OUXAE/RmGSgRu0dmTJUrkZ0Q0aIOcHe9eAOMa1WYwGIhMz0bOiJEAnJ3hKG5Wa1FUXIq0tB5NvicUnqL4wYGJAIDjhVVgc7j4+9//jsioaMybNw9MJhNGK7Dui/WIiY3DY4891uj7x+FwkJeXhzNnzsBoNLabZVpSUhKeePQROBwOlJWVQSaToaqqCgqVBlm9Ot5Vw5+wWCxYrdY7MjpVW1uLpUuX4pVXXkFkZGSgh3PHYLfbIBHykJssRaGwHx0VTkhIgslsplPfPLtT+sLp06fpZjKN4as43rVrF5YtWwYAGDFiBAA0SMmj/Pi1Wi2CgoIarMMXmEwm+Hw+nY9MzZAtXrwYDocDAwYMQEVFBQoKCpCRkQGJRELSMO5Q7ryrdDuj0Wjw5Yav8OLzz7lNVVFIBRyoDRaESoQYO/U+/N9/1uDdlBSEuEQEuypmsxnBwcGorq7Ghg0bcObMGQwbPhIvvPACImMTwWAw6Aul60VzzbGGUU5XKIHXHFTkV65rutrZM+JKieIYsQARImfEOzteCnVWHAaOngIGg4H0SGGbje8BdwHvFl2+3elNeju9w263Y/0X6zD9vvn0TUSJQo+DRdU+bYd6zwqr9AiPjsPiv6+A2FSJ/v3708dlWVkpjh35BStXrmwyQsJgMPDXv/61xfvaWqj2sYDTx7TxWHbXgcvlwmw2dyphbLfb8corr+C+++5D3759cenSJaxe/R9MmDAekyZNarC80WiEXC5HXV0dMjIywGazYbVa4XA4UFtbix9//BEHDhzA5MmTcd9998Fut6O8vBwrV66EXC5vV8s6QkMMWg3S4yOhN9tx69JpqOxC8CLiodZbYDcbYDKZ3ARobrJv3RFtNhuCgoIarSehbt59EcU1NTU+txUPCQlBdXV1q4VxUzAYDETf7igZExOD4uJisFgsrFu3DvPmzUNJSQlSUlL8vl1C56TzXKW7Cf/5bANSMvpAzY3yWtELIYeOWvbuOwAlRdfwzrv/xBuvv9blG2OYzWa8t/EAzv/4NeL6DMZHH33UqMODtyn/xvBcNidShoRQoZu9ENVm2JX0cDESQoUoUejdnlO5tBwuqFIBcBfFrjAYDEgFnAafpUpvgUrfMNKy97IcgxKCvUayqceoCLa3Lw61wQKdSo7Lly5hyeKFbtttiSjms4ETRfXjG9UnDoC7ldLGb7/CpEmTIJPJfFovofVQXsadpUGJyWTCli1bcPXqVXz40UdISU3DlUuXoNfrsG7dOiQmJiIzMxNWqxVbt+/Ent0/oVZRg9DQUHC4PBgNejAYTNTWOruScTgcjBozFvnjJ6Lw6jVcvXoVn3zyCRSKWuQOzoNWq+vwAsQ7Ga1WC7m8ClKZDF9+/hkeWrAIJQo9Cqu1zpmtnj3xzXffY84DjTfjaIwvv/wS8+fPb7beoClxbDKZwGAwcOzYMUyZMsWn7QoEAhgMhg5xP0pMdAYWHn74YTgcDty8eRN8Ph/nz59HXl4eeDwe+Hx+u46BEDiIMPYjRUVF+P3McTz4dMMmBK5T4FSuqVTAweIFD+Hdd97Gxx9/jMcff7xTRZSawmKxQK1WIyQkhI5AGgwG/L77O0SNngNebBre/qUcAJAga3nHr1HJ4ZAKONhysbzBcwVVKmTHS90iriUKPS14gfqUBFfxrPL4W64zIUbsPhWYGCpEsUKPc7fUDbYB1KfCuKY8jEoOR2G1lo48b7lowIMDE+nXUmMDQEez916W06+PEQuQECpEQqhzvAYzEyEhIW7C1hVqzPkZEQ3SQKhIMRXdTgwVNsgbtNls+PHHH3H16lU88cQTXrdB8C9UxLizcPz4cXz//ffIzOqDcRPuhkGvx8zZf8CVS5ewZdNGrP7PGgzo3w9Hjx51pt8s/CP6ZvUGm82Gw+FA0Y3r4HK5iIiMogUSi8XClcuXsH/vbrz11lu4//77MeyusbBarfjll0PtEukjeEer1UIicRa0PbRgEfhsp9tEYbUWAOBg8TBk/D10GoXMB79ih8OBHTt24OGHH2522aZSvux2O44ePYrU1FSfRTHgn3SK1sBgMDBmzBgAQHh4OC5evAipVIpjx45hxowZUKlUxC6um9E1VFgXwOFw4NNPP8WsWbMQGxkGld5CiytvFwmpiyPCk08+hQ/e/ydeeOEFPProo512ysZgMODMmTM4ceIEzpw5A4fDgdDQUEyaNAkikQgXL15E/qiRWLBgEtYcK0aJyikCS1SmRsUxJYApwZkeKXRzWnhwYCId6XAVgF+cKm6QYiETcpzvq0e+MRU1pi7+tC3R7Ygyn+0UkmrD7dxjZxAMar2lgZ8n9bl55ilTecNUdJuKClP7QW3bM83DM1JdrNDDaGDAyJRC6hIZcY1sD0oIRqTEGcUelBCMYgUPMiGHtlmixioTchqIYo1Gg+XLl4PFYuHFF19sMkeQ4D+4XC60Wm2gh0FjtVqROzgPj//FPUUmISERo8fmY+f2rTCbzXjy6b8hJTUNAg6DPq4EHAZSUtMarJPPBnqk98SoMWNRVVGO8ko5Vr3/T1wtvIJeGRndIl2sq8Bms8FmsyD2CNmmh4uh0ltw+FwRvvtsFRY//Spqq6uQm5fR7DqNRmOb62HsdjvWrVvnUztob4SEhEAulwfsJovD4aBv374AnCkXXC4Xp06dwsiRI7Fv376AjIngf4gw9hOHDx+GXq/HhAkTwGaz6WifWm+Ba9xPejuVwjXXViAU4u8vvIxD+3fjjTfeQGJiIkaPHo3s7GxotVoolUqo1WoEBQUhNjYWtbW1SEpK8jqVc/36dajVavTv398v+2Wz2XD8+HEcOnQIFy5cQEpKCnJzc3H//fcjPDwcp06dwqade2AwmjBh1HBMGO8sOFySl4gTRfX5vq6iNidSBsAZzaQEMSVeqW5LnqLTKUgbRkjp99VFXANenBtcivXSI+uFMOD8DLzl+xYr9JAKnXl3rl2iPDtGUWkaKr0FOZEyyHUmlGsNKFHonWO/LaQpIkQ8uiDPVWBT0Ru+QIBzp35FSnomxgzMcEslGZQQTP9NzTx4RnuobSV4WC/ZbDYsX74caWlpWLhwYbu4SxC8095toVtKdHQ0yrZtA+AUKzWVpdCbrBDy2LBYLMjO6g2LxQKdTgeFQuFWhERNkbvOgDnMOhw/egTHjx1BSUkxsjIzwWExkDc4Fw/On4fo6GhS6d+BKJVKyIKDGzyeHinEJ//bhZj4RNy34AmYTSYIjZVQKp2WaeXl5Q2612k0GjAYDOzcudOnls8UnmkUR44cgVQqbbUoBgChUAij0RiQZlKeUKmPVNQ7Ly8PR48eDeSQCH6CCGM/oNVqsX79ejz55JN0KkRushQnitRuokjqKqzgaZzOxMSJEzF69GgcP34cBw4cwNq1ayGRSCCTySCVSqFS16GsrBRCgQASiQSzZ89GVlYW+Hw+9Ho99u3bhy+//BIhISFYvXp1m/bJ4XDgl19+wTfffAORSITx48fjT3/6U4N81NzcXCC8J+R1GojtOpjtTMDD6D09XOwm6Ipd8n3dcnAF9ekPjVmS5WdE0ELxi1PFmN47xk1Ie77HQEPh6xr9dVv29jLpkUK3Gxup0D3HmIpoU8LaNUUDgHfhfnvdESKem1codXxQApdKB7lnwl2IjQzD9gv1KRdL8hLpFAnPQkDPaLHnewAABQUFsNlsRBQHAMqVorPQo0cPmM1mvPnaK6isrACLyQKPx4PNbgOHwwWHwwaPywUYTNy6VQK73Y7YuAQ89tfnEREc5DwH1CqcPXMGv/xyGDeuXUXfnBzcPXkKBvXPIfmXAUahUCAsNNTrc7duXEVmv1wMSbsdwe8dhR07dmDs2LG4cOECQkJCcOTIEcTFxaGmpgZsNhsJCQktEsWerFu3Dg899JBfxGxQUBA0Go1bw6JAotFoUFlZ6XOLa0LnhwjjNmK327Hyg3+jb7/+tHciBVXly/eYzm5KvPB4PIwcORIjR45ssC1KkIWLWdi5cyc2bdqEf/3rX2AymbDb7ejbty8effRRfPHFF7DZbK1uxmA2m/HBqn+jpKQEjzzyCPr27dvoBc1odUZYBeCiTuMeEZMJOZDrTCis1rqlFWTHS3HulppOB1DrLbQAdY2sems/CgDTe8fQucd0+gO8i2Jv/wNwi/g2tZzr+gE08EP2NMZvTPSrb0egqWUSIaTH7CrsE25/l23bshuCnkPdHDMAp89oY+4YVCTP83ijqKqqQnJycqcSxTabDQ888ADGjh2LJUuWBHo47Uago1uesNlsvPXWWzh74SKSE+IQGxvb6BhtNhs0Gg2WrXgb2zZ+C7GIj/PnzqKyogK9evXCqJHD8fzf/9ZpCgsJaNJWceCw0Q2uAZR/78SJE2GxWNCvXz+ENiKsW8KlS5dgMpkwb948v50DISEhqKqqCqgwdjgcUCqVqK6uhkAgQGJiInQ6HS5duhSwMRH8BxHGbWTDV99Ap9Piyaef6bBtMplMTJkyBVOmTIHRaKRtoKgL4ffff4+ioiKkpTXMA2wKu92Oa9euYcOGDeDxBVj21jvg8Xho6npGpRHU6QxgsDhNWvR4RoELqxqmGniL7Lri2STDNV3AF3sgX5elIv6u23UdHzUGT4/igosqr+uTCjlIhJAWx1TxpTeUSiVSM/qg/HaztBixAFOynD7MntFv1zFRuApn1xzj0NBQnDx50us2A4VCoYDD4UBhYSHWrVuHCRMm0LZJ3Q2qA15nEckSiQQjhjbfLprFYkEmk+HeGdOwa9cuSHr0wIPz5yMjI6PLO+l0V4xGIx21NxqNqKqqQlBQEAwGA6rKbyEkonE/aQ6H4xdRvG3bNowbNw4sFsuvReUCgSBg6RQ2mw01NTWora2FTCZDWloaHYDS6XQdOhZC+0GEcRs4cuQIDh/6Ga8tewuVGisO3VAhQsSji8Ba0kXIF7xFA/l8foNpy6FDh2Lp0qVITU1Fbm4uQkJCcN0gwLwxOV6jhQ6HAydOnMCnn6+H1WrBuDGjMGvWrGYvZoVV9dFRh80CJk/k9nxCaH0VNFWISOHqGuGZU0w9DtQLyBKXXGSpkIOSM40X9PkLuludSxTbW/4uFc32tIvzzCWXCjnIFkpRotC7FV8C7i4VGlUtDDotImKD3ESx67aov6nIt6s1kmd3P+o4vGmVofDadWi12kZt9DqaiIgIfPfdd3jvvfdw8uQpHDz4M5YufaXTFqC2Bcr3tzH/187O0KFD3drvEjovNpuNnkkEgIqKCtrurOjqRfAEQgxLv6tdtl1RUQGtVotBgwa1W0pNR6dTmM1mVFVVQafTITw8HD179uxUM28E/0KEcSu5efMm/vvf/2Lag49j+w0NAA0AZ35pvdNAQ6ssKnXAUwj6kwceeABTp07Fb7/9hsuXL2PnLyehra7AnvU25PTJxKBBg5CWlgaNRoNz587h1KlTMBgMGDHxHvTI6o/BKbJG1+1tGl+lt8Bhs0AW1HDqLkLEg1xnglxnwrlbasiEnAZFYRSNtW12TU84WFTvdgHAbZ2+msq3FM8UD9e8YEq0e+YZA84caKoltSueHsyunaciRDxUXiqCNMHZ6c3ztUDz+0jlGxdW6aE2OMdZWK2FSBqM2LRMbN26FQ888EDzO96BDB8+HOfOnYNer8fNmze7pTCmLNu6qjAmdB2oY+3y5cvQaDTIy3PODERERGD8jPthNOhRWKWnrxX+4vz584iPjweDwWhXC7OOSqfQ6/WorKyEzWZDZGQk4uLiOs2MD6H9IMK4FWg0Gixd9haSh9yNakF9tXaMWIByrQHlWgMiRDwUK/QoVnhfRyKE7SaOGQwGJBIJYnrlopCfjH45zqjwEFEdfvzxRxw+fBgbNmwAn89Hnz59MGvWLPTq0w8XK5xTQVV1Fq/RbrcOfi7uGieK1HDYrAgWCxqkP1D5xIB7lNhTHLsJTxcHCfXtbnBqgwUHi6ppUZwg49HuFiq9BQmh/hfFrhH6BpF6iXtKBbVvrvnPgPNGybVIkN5HF49jwN2pIorXHzoIwGKx6eeb+gJrbL/TI4UorNLTUfv0cDEGLHkQL7/8MmQhYcgfM6rTTIXn5uaid+/eMJvN3dbWi8vlwmQyubVNJxDaA0oYR0RENLjJFAhFOHFoD8JlEwA/CWODwQCNRgODwUAXjLcn7ZlO4XA4UFdXB7lcDjabjejoaGJreYdBhHELsdlsePb1txCa1BOx2YMB1HvtAk6BU1ClauBX662rGjWl7orr9HtrOVGkpn1vKfpFBSM7OQkSiQQqlQo5OTn0c97SAKjIcAMfX4/0gMIqPeQ6EyRwLzCilqHydKniNCqCSUVbPcWiaw6xax4uFZGl0icoD2NKdJ+7pfbazKI9iZRwGrw/gFMcU/tAdas7WaKkHSmo99DzJoKaSbhZVASJRAJhRBL9XGPR8OaOFVfPZqfbhgXTHnoCuzZ/he1bN+Opp55Cenp6y3a8negs6R3tBY/Hg8HQ0LGEQPA3XC4XFosFN2/eRHx8vFtKQ26yFJg4AyKBf77+a2trYTKZUF1d7XQp6iD8nU5hs9mgUChQW1sLsViMpKQkMrtzh0KEcQuw2+1Yu3YtwgUsTPrDQ2Cx2chNlsJorY/OyYQcuhOaK3KdiRbHVNMPoOkirNbgKYpHJYe7RRujoqIQHByMiooKREdHu4lizzSHxkSXawMOwCn6jYZ60QvUN+rwhPIr9sQzXYGCSqNw3acleYn0urPjpW43GI1Fu9sLT4cRTyu4UcnhOFhUjXKtAenhYrfXUe8DtQ+UA0b/AQMh4rFgsjEavCdNOZo0BnXcUTcp0fHJeOm15Sg8ewxvvfUWZs+ejUmTJrVktwmtgMvlQq323s2QQPAnVMQ4NDTU66zQuZNHEBIeiZ5Rrfe7dzgcMBqNOHToEKZOndrhRbP+SqcwmUyQy+XQ6XQICwtDeno6yR++wyHC2EfMZjNef/s9aNRKLHv1JbeTkRIolDgG6hsxREo4bl60cp0Jey/LESHiITdZ6tWirLVsv+De/GJJXmKDZfh8PlgsFo4dO4aoqCio9fVKqyX5Zq7uDA67DWC4X0g889dc95MS396K2jyfpyKeVJqKNzzTMtor17g5XPPHXfd1FMIBuHc79HZzANS//j///QQPL1zc4HlX8e3ug+2ksEpPp55Q751nAxAqsh45YgQiIiLwz3/+kwjjDqCztYUmdF9YLBbMFiu0BjPEMnaDa0X2oKGora5qUyDhxo0bKC0txYwZM/wz6BbSlnQKh8MBrVaLqqoqACD5wwQ3yG1RM5SXl+PLL7/Eo48+CofDjvuWPINKA7tRL1kKV6cFqoDKNb1CrjNh+wU5+Oz6Kfm2RDpdRXGMWOBVFFNwOBxMmDDBacvGtHlto+wLJQo9VHoLgrhAqMS7qJYJObQw82YzRl2oPf18KWGZGCpEdrzUzZnBU/gGQgS7btt1+66eyvTft99fz30D6m9GPMX9lGkz6PVEShqm11BuGWq9BVV1zh+jFQ1EMbUN6v/seKnbcRYXFwe9Xk+m+DsAFosFm80W6GEQ7gCUdVqIRCL0SO+Jndu3el2m8OJZt8LmlmCz2XD06FEMGDAARqOxLUNtE2KxGBqNxufl7XY7ampqcOXKFSiVSsTHxyMtLQ1BQUFEFBNoSMTYA4vFgsuXL6OgoAAFBQWoqanBiBEj8Morr0DucG+x6cvdNiXiKHHMZ8MtgnyiSE03AmkNVXX1jSOoJhCuIrIxDAYDhg8fDpmY36zI95YS4Zp+wbZawBELwfUirqnUCVeLsqainp4Ffo2NwfN1gRTH1PY9x0g95q1BiGd+tetjDocDR3/9BVOnzwDg/UaAKv5z/exc3S2omxFKeFP/e75PIpEI0dHRKCoqQu/evVu41wQCoTOi02ohDgoCnw3cN+veBud9brIUauVAFP5+FrnJDZtJNQeLxcK8efNw+fJl2O12sNlspKWldXgKQkhICORyebPpFGazGXK5HFqtFiEhIejRo0erG2ARuj93tDA2m80oKyvDrVu3UFJSguLiYly+fBkREZHo1y8HDz/8MDIyMugE/CR4tytzhWrp600oUUzJisCJInWDAr3WpAAUuxT9UevzxYZHpVLR0StfI9XexpYQKkRJqRoiMb9BRLSx/feG57Ke66KcHijxH2gh7I3miuNcRbK3iDefLuRjIDU5AVarFTqzs8tHicHi9TONdBHIVEtpzyJEV79pb4SFhaG0tJQI4w6gszX5IHRPjHotpEHOmoaSkhJs27YNs2fPhtlsRo8ePQAA6XFhsNna1qY8IyMDAPDLL78gISEB58+fx6BBg9o2+BYgFAobTadwOBzQaDSQy52BqPDw8CY7PBIIFJ1QXrQPVqsVZ8+exY0bN1BSUoJbt26hqqoKoaGhiI2LR1xcPIaOuAsLHnkUISEhjQqvxorEgMZFc2PRTqA+vaKpvNHG1ucaIaQ6tcl1Jq+eup5ER0djx44dEAqFTRZNeBu7Z64wh2EDh1Nf4OEtEko93tQNgze2XCynLdry4mTIz4jolKLYF6h9b278fLYzF9xms0Eq5NHvN5U/TLXSdoVK3XC1rfMUxI3dLE2aNAkrV67E6NGjSRV2O8PhcGA2m8HjtW9zGsKdTXV1NWJjYwEAPXv2RHx8PNhsNo4ePUoL45uXfkPPhAS/bG/48OEwmUwICwvDr7/+itTU1Hb1MXZFLBZDq9UiKCgIQH13OqVSCbFYjISEhE5jS0noGnRRieE7NTU12L59O/Yc+Bn8IBlGDOyLnJwcTJs2DXFxcc4Efi/T+U3aY7mIY9d0Cs/GFE2JwNxkKZ1Ssf2C3Kf0B9d1uXoDU4LHtY2xLykaQ4cORXBwcJPLULg5Lrjkz/LZgMVidrvweO53YykRno1Ommp8kiDj+fQedXZ8FfWFhYWIi4sDn80DX8Jxs7BTG9xvTLytnxLFKr3FzQXFG2VlZQgPDydTix0AVYBHhDGhPbly5QpGjx5N/y8UCrF27VosWrSIfmzYsGF+TX3g8XhITk5GcHAwxGIxvvnmG8yZM8dv62+MkJAQVFdXg8ViQS6X0wKduEu0HIVCgSVLlmDXrl3g8/l4+OGH8e6773p9H4cPH45ff/3V7bGvv/66Qz7z9qZbC+M9e/Zg/fr1GDZ8JPrPWoKg8BiYAYxtojDNF/hswJvpkkrfULA0l1JBiePm0h88BSXgLoopPMWx53MUer0eR48e9dmNoLF9MFoBncEErdkBGafpZT0dGyh7Mupx1+iwJ6OSw30aZ3fAarVi4sSJbt6j1OdcVefi8+wyM9BYEU1iqLBJUSyXy/Hdd9/h1VdfJV8iHQCPxyPOFIR2pa6uDtXV1UhNTaUf++2337Bw4UK35b7++mvExMRg7Nixft0+1dxjypQpuHDhAsxmM/r3b70tXFPY7Xbo9XpUVFTAbrcjMjISQqF/u/ndSTz66KOoqKjAkSNHUFlZiXnz5iExMRFPPvlkg2Wrqqrw+eefY/z48fRj7d3YpaPolsLYZrPh888/x+nTp/HSq28gISERey/XuzasOVbcpGsDJWZba/tVonAXuZ7i2HWd+RkRjVp3NTa2c7eXb8xJwlUcu+IaRRYKhYiIaD4C623/PUW62WqHTOQ+VeUtGkxFO1V6S70vcZHzlzdBTDXzuNM4d+4cmEymWxMWCtfZCU/3CQrPwrum2LBhA/Lz85GUlNSmMRN8g8vlQqfTBXoYhG7M5cuXkZqa6pYW5ZmDu2HDBkybNq1db9LEYjEyMzNhtVqxbt06zJ8/32+zUkajEdXV1dDpdAgODkZ0dDRCQ0OJKG4DOp0Omzdvxv79+9G3b1/07dsXjz32GL766qtGhXF6enqHpcx0JN1OGGs0GqxcuRJWqxVvvfUWuEJntSo1Db/mWLFP62kuF9Y18kkJ6MYEqet6mhLbTT3n2UkOaLpozjONwluKBZvNblEhkLf3w+FwFoe5CmHPHGxXJ4ZihR5br1Q1WA8lgqnmHWq9pUEUNFD+xB1NREQEnR/ojUiX1ArXWQMqfcJXP+rS0lKcO3cO//73v9s4YoKvcLlcKJXKQA+D0I05efKk22wT4Mw5BpxT5devX8e9994LANi7dy9mzpzZbmNhMBjgcDiYP38+1Go1Dh48SG+7pdjtdiiVSigUCrDZbERERNDewzqdDgqFott3z2xPrl27BovFgj59+tCPZWdnY+XKlQ2WpVqAR0ZGduAIO45uIzMcDgd+/vlnrF+/Hrm5uVi4cCHYbLbPhV6tEVyN5cNS+LLtlmzXdX3Z8b5bvBmtoB0LXKmqqoLJZGpwEfUFSuzabTYwbkcBGosSUxwsqnaLDL+cX9+KmIqaU/vo+jq6M5zeQjs3dGcuXLjQpDAGvIvfljRosdvtWLNmDaZMmUJ/mVy6dAk2mw1ZWVktGzDBZ0iTD0J7YjKZcPz4cfzlL39xezwrKwvr1q3D/fffj8TERAgEAjgcDkycOLFDXFJYLBZOnDjhNu3uK0ajEXK5HHq9HsHBwUhJSQGb7f7FKRQKcevWrTvO8YXLZjarQ1wx8RqP2NfV1QEApNJ6bREcHEw/7grVGGXx4sU4f/48EhMTsWLFCowbN87nsXRmuoUwvnXrFj755BNoNBr89a9/bWA75c0j1/P5xqKR3h731gaYeiwxVAi1weLmCODNs9YVqilDS/BVULu2KPYUxv379/epWrcpgW+1mMFi10/ve0Z5XVs5U6I4QcZDjFjg5m3smhZCNQ6hUOvr22b74trRlXE4HJDJZC26uLfmPdm8eTOsViumT58OAPj111/xwQcfgMvlYv369S0ZMqEFMJlM2O32QA+D0E3ZsWMHkpKSGgjHuLg4zJs3D2w2m47yMRgMnDlzBpGRkbRTRXtRU1ODQYMGQSQS+bQ8FR2uqakBh8NBREQE4uPjG70uMhgMCIVC6PV6n7dBcMdb8yHKXtITNpuNSZMmYe7cuejduze+/PJLTJkyBZcvX0ZycnJHDLdd6fLyYufOndizZw9mzJiBKVOmNLggNNYhzVtzjpaI48ZwbZXcGJSQaUluMVDvROFrQxBPQUvlnlK2Xzu2bWtQkNEUnoIVAKwGDVR6OypKGk4Pe7ZwptIlciJlDTycXbfhOlZvedTdVRQDzi+E5szqXfFM0/HE23t1/vx5bNu2DStWrKDPlx9++AEAsGLFihaNl9By7qSIFqHjUKlU2Lp1K4YNG4a+ffs2eN7zuxFwTpV3xPH4yy+/YPr06c1uS6/Xo7q6GgaDAcHBwUhLS/M5LzkkJAS1tbVEGLcSqvjabrfTfzscDq/vf1xcHHbs2EH/n5OTgz179uDrr7/Giy++2DEDbke6vMS4ceMG3n33XYSHt8y14GSJ0qv9ly/Rt6aK6agmDpESDqrqvNuPefNBbq4lM9XAwVc8RZKnUFcbLLj73rktWocrVGqGSq+Hg+nbuHIiZfTfESJeA7sx1zEmhArdUjO6sximsNvt+Pzzz32+WXE9Vr19Vmq9BWq456JfvHgR7733Hp588kk3/+p3330XDAaDiLYOgMFguH35EAhtxW63Y/Xq1YiJicHs2bN9fl1lZSWYTCbtAdwe7Nu3D2PGjGn02mK1WqFQKKBUKsHn8xEeHg6hUNjia5FIJEJpaekdl07hL6hjQKlUIjQ0lP7bV6eJ3r17o7S0tL2G16F0+SvzkCFDWiSKqc5p3vAUuJ7/e1u2KRuz5nJ/0iOF9E+khNOk+KNEo695pHz2bVs5vcVNiFPbKym6jgMHDzbaFc3bfqk8bOLkOhMYdivAZCNCxHP7AZzvteuPTMhpUtxLBc6UCkow30mi+PTp0zh//jwWLFjg82uoz9j1b+p/VxeQwio97HY7tmzZgnfeeQePPfYY+vXr57YuJpNJvkw6CA6HA4ulZalTBEJjUPUCtbW1GDZsGK5fv+7zay0WC2JiYtpxdEC/fv0auEU4HA6o1Wpcv34dN27cAJvNRnp6OpKSkiASiVp1LWIwGBAIBDAYDM0vTGhAjx49wGazcfr0afqxc+fOITMzs8GyH330UYOizWvXrrX7sdRRdHnJ4e1Da4opWRFYc6wY5VoD1hwrxoMD623bvEWBXaNxTaVaeEI7MbgIQc/Wv77SXBvqxnBrsnG7YxrFsAFZ+L3IeVdIpVY0J+RdRS3lvyxiAf0zot2m6c7dUtPi2BNK/BYr9Dh3S00XEXq+T909l5jCaDTi+++/x5w5c8BisVr8hdDUsZcQKnSmvygVeHP1p9Dr9Vi+fHmzhX2E9oXL5cJkMpEmH4Q2YzabsWbNGpSXl2Pp0qWwWq04ePAgBgwY4PM62nvm4ocffsDixYsBOIsDq6ur6U51cXFxfj0PqHQKYtvWcsRiMaZPn47nn38e4eHhqKmpwUcffYTly5cDgNs1a9y4cXj22WexevVqjBs3Dhs3bsS5c+fw9ddfB3IX/EaXjxi3xlHB1cN472W512WogrrGCu2ayjt2zR1urH20r7g2dGiJ6wBleUZ1qfPMp+axHLh29mj9OA0W2vnBdcyukWegXthS6E1mHLyqcGtP7c0xQ3a7wI4SwM1Fj12jn92Z0tJSuijGXxFb6jPns4Gia1fw8T9eRVpaGhHFnQTiTEHwB7/99hueeeYZaDQavPzyyxCLxZDJZMjPz8fPP//s0zqKiopa9R3aEh5++GHU1NSgsLAQZWVlkEgk6NmzJ2JjY/1+c0i1hya0jtWrVyMxMRHDhg3D/fffj0WLFuGRRx5BSUkJ4uLicOvWLQBAeno6Nm7ciP/7v/9DdnY2NmzYgC1btrR7EWdHcQdID+/kRMpQUKVCudbQaM6wZzSuueImo7VeFFNCtC2RT1dR3FwOsrdxNpWKwGAwkJSUjPRIYZNuHZ5Q+5Ue7rT4ulEHgMGAXGfCuVtOj2TKHo4aN+VU4RoV9oxQ3wki2BWHwwGz2Yxbt24hLS2tVevw1g0RqP+MysvL8c0nq/DIH/+MYXmD2jRegv/gcrnky/sOpKysDEqlEr169WpVowuHw4EbN27g5MmTOHnyJPR6PR566CEMHjzY7aZaKBQiLS0NVqvVa8GdKwMHDmzxOHwdq1qtRnV1NS5cuIDhw4cjNTW13dvOMxgM8Pl8GAwGCASNp00SvBMWFoZNmzY1eDwhIYH2wqa4++67cffdd3fU0DqUO0yO1JObLKWtxNYcK6Zzj/MzInz2PnbFVRS70lrB15pIsa+uBACgM9noi5TrjYDr355RcVdxLhVwIBGwYVUKoeXxINeZINeZcKLImR5BTeN7Cns+G8AdLIgpbt26hRs3bmD06NGten1johioP3Y2fvU/TJgwgYjiTgaPx0NtbW2gh0HoIOx2O7Zv307bIHK5XCxduhTp6enNvNIppr/77jsMGTIEBw4cwM2bNzF48GA89NBD6N27t1fhy2QyERERgW+//RZz5zZdYL1z584WORM1h16vR01NDXQ6Ha5du4ZBgwbhnnvu8dv6fSE4OBi1tbVkdozQau5QWeJkSV4itl9wtoqmrMVc8169QRU1qfTeXSI8c3kboylXC9e0BV/W5bqextbryaGfD6JfP/f+9Y25GzQWObdZreBz2eidLEVhlR6F1Vo6cgzUR41lwob5y3eqIAaAjRs3YsyYMRg1alSr1+FmQ+gyO+F67ChrqnB3/l1tGSqhHSDFd90Ps9mM999/HyUlJRCJRIiJiUFMTAxCQkJw+PBhGI1GzJw5Exs3boTZbMbLL7+MmTNnwmKxYODAgejZs6db1Fcul2P//v3YtWsXevXqhVWrVmHSpEl45plnfPKe53A4mDNnDn766SdMmDCh0eUefvhhv+y7QqGAWq0Gl8uFSCTCiRMnMGvWrDavuzVIJBJUVFQEZNuE7sEdLE+c5GdEgM8GLZALqlRIDBV6LURzzaP1JopbG9l1FTSutEQUUzTnlkExfEiu1/aZnoVvnmkZrjDsZvoinRAqREKo0E0UU1FiKt/Vc4x3Ku3VgpXPdi/sTElKwKVLl5CTk9Mu2yO0DtLko/ug1WrxyiuvID4+HhcvXsQbb7wBnU6HsrIylJeX49y5c8jNzcWECRPw3nvv4cEHH8Rdd92F48ePg8/nY9WqVdi6dSvS0tIwbdo0ZGVlYf/+/fjhhx/Qv39/rFixotWV/iwWC5mZmY1aA9psNnzxxRctcsJxfa1SqURtbS2YTCZCQ0Mhk8mwceNG/OEPfwiYKAac6RSkwJXQFu5wieLEaAXtolCuNWDLxXLEiAWNOit4iyi3ROx5i8xKhRxaHDcliH3NWW7u+Zs3b8JoNCI3N7fR13puy83lQsiBWqUFWFy3x11ziz0FMcHJJ598Qldptyd33303Xn/9ddxzzz0NCmxUKhXOnTsHHo+HXr16taipCIFwp+NwOHDo0CF89NFHAJz5/BkZGUhMdBZ2e3ZfBYCSkhKcO3cOGzduRHx8PB5//HFERERgwYIF0Ol02LRpE95//31kZWXhzTffRHx8fJvHGRMTgy+++MJrZJjFYuG+++7z2ffXbrdDpVKhtrYWdrvdrT3ztWvXIJfLMW/evDaP2R9Q7hSuXu0Egq8Q2eIC5cFLFeV5E8aNpVk0l8Lgma/rbRlPG7fGvJP9QZ8+faDXN995z3PMrmJZbTNDLOC5PU95EKv1FiKKG2H69OkdYkKfmJiItLQ0fPfdd5g/f77b9tavX48rV65AIBBAo9HglVde6TYelF0BKmpMmnx0LcxmM44ePYqvvvoKSmV9t8977rmn2UKkf//731Cr1bBYLNi+fTueeOIJDBw4EP379weDwcDIkSN9KphrCUwmE3PnzkVBQYHXmaPdu3dj4sSJjRaqORwO1NXVQaFQwGKxQCqVIiEhwS2d4/Tp0+ByuRg6dKjfxt1WJBIJqqqqiDAmtIo7Xrp4ijeZkEMX4lGtl1viX+xt+dYU83mO0d++vgwGA9u3b8esWbMarRT2Kt5dHjObzQgKCvIqnluTBnKnUFBQgOHDh3dI1fSSJUvw5ptvAgDuv/9+cDjOz6W2thYjRozA8OHD8eqrr+LChQtEGHcgVJ5xW6d6LRYLmEwmmEwmqqurUXj9JirLSsDn8xEbG4usrCz6Mye0nbVr16KkpAQ2mw0AMGrUKDzwwAM+dQdjMBj0cg8//DBGjRqFpKQktxtWf4piCur48HYjNm7cOFRUVCAlJYV+zOFwQKvVQqFQwGg0QiKRNGmt1r9/f/r96CwwmUyw2WyYzWafcrIJBFfueGHcFNsvyBEh4rnlE3u2MW6M1orhxkR4e0Rfhw4dCpvN1moLncYuOiRS3DSjRo3CiRMnMGzYsHbfVlhYGF577TWsWrUKTz75JHr06IHq6mpUVVWhvLwcmzZtwrhx45Cfn9/uYyHU09YcSIfDgS+//BK7du0C4BTaDAYTiUlJiIuPh62mBocPH4ZcLkdOvwGQBIchKiIMSQmxSE5Obnfv2u6IWq3GkSNHsGrVKgQHB7dpXQwGA8nJyfT/7dnQiMViITs7G59++qlXBwq9Xg+HwwG9Xg+FQgG9Xg+xWIyIiAifGmWsXbu2Q1LDWkpwcDCUSiUiIyMDPRRCF4NIGA9ci8goCzIK6m9KHLv69lJ4ulpQEVRfL3gdWaRWVlaG4ODgVt9RW63Wdvel7I6w2WxERER02PaCg4OxdOlSXLx4EVVVVYiIiMC//vUvvPrqqzhw4AC2bdsGPp+P+++/n7SF7iC4XG6rnSkcDgc+++wzXLx4ER9++CE4HA7UWiNio8LAYDDcrkflZWU4fvI0VEoFLv5+AXt2/4iK8nKkpKRgwIABmDFjBknn8IH/++UaGBf2YtiwYW0Wxd7oiGDCwoUL8dNPP2HcuHFgMplwOBwoLy+HwWDAlStXIBQKERISgvj4eJ+vAyaTqdPkFXsilUpx/fp1IowJLYYI49vIhByo9BZa7HrLJd57WY6DRdVAUf1jlBeyK3KdCVOy6oVPZ42g9uvXDwcOHMDEiRNbvQ4ipFoOg8GA0WjEiRMnvBY/ttc2MzMz6Rbq0TGxePmVV2C1WPDcc8/h448/xpAhQ9yiWIT2o6VNPmpra3H+yk1UVpTht9Mnoddq8cqrr8HCFkAo4CBMEASTl9nsmNhYjAl2XosoZxmDwYAbhRfxySefoFevXujVq5df9qk7olAo8PI/PoDi5hUER8bg1ReeDfSQ2kTv3r2h0+mgVCqh1+vBYrEQGxuL6OjoVl3LKysrUVFRgby8vHYYbdtgsVhgMpl+z9smdH/I0QJnRNcZBdZDpbegsOp2pzZBQ/9dX6A8kTs7PB4P/fr1Q01NDcLCwlr0WofD0U6jujPIzMwM6Hv45FPPQKvTIiEmElwuFwMHDsSpU6eIMO4gfG3yYTAY8Pnnn+PXX39FVEwcIqKi0XfgEGQPyIODXZ+j3lQNhOc1LDhIgMy+A3DXXVfxyy+/EGHcCCqVCkuXLoUooRd0mVNh5PC6ZB6+w+GATqdDbW0t9Ho9jh07hgkTJiA+Ph7FxcUoLCxs1X6ZzeY2NSnqCGQyGZRKJcLDwwM9FEIXgghjFxJChZAK6jvO0V3bbn+x5Gc4Iy98NnCiSI3EUCG2XCwH4GwxnR0vxd7L8i4jjAEgMjISmzdvxrRp01o0pUruwtsGk8nEp59+igULFgQk6h4VHgxjcDC4tz/C3CHDsfJf70Imk2HcuHEdPp47DV+afFy+fBkffvghUlJS8N6qj2FnOfOCfW2W01gBMJ3PKgnFrdKyFo/9TsBsNuPdd99Fbm4uTD1HofqG05/95V2F9DIJMh6W5CUGaohN4nA4oNFooFQqYTAYIBKJEBoaivj4eGRkZNCzVfHx8YiLi2vVNlgsFnr06OHnkfsXmUyGoqIiIowJLYIoGw+kt7u0uTbcUOstbl9GRiuQeDvP+MGBzgsj9SXUmPdxZ2bGjBnYu3cv0tLSkJSU5NNrzGYzMU9vI/PmzcOpU6cwaFBgWja7+lNn9OqNtB7p+O9//wsej4e4uDi3SnWCf6FyPL1htVrx3XffYc/evVi4YAEG5g0Hg8Ggr0OtSc3y9CJX6y0ICQ3D7xcuYPPmzRg3bhxsNhuMRiMMBgMMBgPMZjMiIiIQGRnZ6M1bZWUlKisr4XA4IJVKkZSU1OVzlu12Oz788ENIJBLMnz8fTCYTS/KcovhWrZFe7latEb/eOIdhKc60u0CLZLvdDrVaDaVSSTsGhYeHQyAQNPj8+Hw+HA4HlEolfvnlF8yYMaNF2zIajdi4cWOzLacDDZvNhsPhaFOROeHOgwhjNN5wg0KttzQQx9Qynl9SlMVbVyM/Px8XLlzwORJMbHDaDpPJhEQiwcWLFyGVShEbGxuQcVDH/z0zZ0Ek5OPw4cMoKipCfHw8Jk+ejJ49eyIoKCggY7vT0Ol0eOedd8BgMPDuO+9ALKtPcWpNWldT9OyVhaVLX8E333yDr776ChwOB3w+HwKBAAKBABwOBxUVFYiLi8PUqVMRFRUFuVxO55VevHgJSmUt4uPjwWQyIZfLERERgWeeeabLNoxxOBzYsGEDKisr8cYbb7iJ/GUT0+m/XSPHJSpnUfaaY8UdLo6tVitUKhVUKhVsNht9HWkuaJGdnU03Gpo+fXqLtmmxWHD+/PlOL4opZDIZVCoVQkNDAz0UQheBCONGcI2weJu69GzG0ZWxWCwoLi6G2Wz2+TUkYtx22Gw2evbsiZqaGvB4PGzatAkzZswIWEFjaloPPPrE0+CzgUOHDkGpVOJ///sfbt26hZiYGDzwwAPo168fKbj0EwwGw81bVqFQYPmKFUhOScWCRUsg5rP9YuPlzTqS9hmXpODFF19sNKJmtVpx8OBBbN68GUqlEhEREYiIjEZEVBTmPzwE6T0zIL49OKvVijVr1uCjjz7C888/3+RxotPp4HA4aI9dJpMJBoMBh8MBg8EAnU4HvV7vtXV2bGwsRCJR696MJrDb7fjiiy9w9uxZvPLKK01a2rmK5DXHilGiMtECub0xm81QKpVQq9W0N3JiYmKL/aoXLVqEQ4cO4e2338a2bdt8iqhqtVpagHcVgoODUVxcTIQxwWeIMG4Ez052LbFc6yiqq6shFotx4sQJDB8+HD///DNGjx6N33//HVlZWT6vx263o7a2tkUOCWazGWKxuDXDJnhAFT6OHDkSNpstoLnb1DGelpYGO0+GvNGTIOYxcebkUXyydi0iIyIwb948pKamNrsuu92O6upqVFdXIz09ncwweODa5KOurg5Ll76K/rlDMHnGbLDZ7DY3BmoMb9exxkQRm81Gfn4+ho9q3ueazWZj8eLFeO6557B3794GueoOhwNnz57Fli1bcOnSJfrGwDOlhMvlQiQSQSgUNhgXdUwNGDAAo0aNQnZ2NqxWKwoLC6FWqzF48GD6/KGua5WVlaiuroZEIkFcXBzCw8MbpHvodDr8+9//hlKpxGuvvdYi4bckL5EWxy/vKnQTzf6AKp5TqVTQarXgcDgIDg5Gampqm9IDGAwGtmzZArFYjJKSErrw1mazgclk4tKlS+jVqxc2btyI4cOH4+TJk+jZsyfsdjsyMjL8tXvtDofDgc1mI50mCT7TyaRe4PD8smjPdsz+orS0FDExMYiNjQWDwUBiYiJsNhv0ej1KSkpw6dIlREZGQiqVQiAQIDQ01GtUYf369Vi0aFGLtk0ixv4nNDQU69atw0MPPdThUVnP43vPnj2YeM8DAACtyY6BecPRd8BgHNy7C8uWL0ef7L6YMW0qEhIS3IS83W7HlStXcPToURw/fhwGowliaTB06loMHjwYQ4YMQWJiIlgsFrhcbod0/+uscLlcmM1msNlsvPf+SvTpm4O5c+c2mrrVWlpz7WpKlDe1Pi6Xi0cffRTPPfccUlNTkZKSApvNhqNHj2Lr1q0wGAyYOnUqnn72BXC5XHpdlEB2OBzN3hjW1tbi0KFD+Pzzz1FTUwO73Y6YmBhwOBysX78eiYmJqKyshFwuB5fLRWRkJMLDw1FXV4fS0lKYTCakpaVh4MCBSExMRGlpKTZt3ozsvjn461//2qobuCV5iW7pFW3FZrNBpVKhrq4OJpMJIpEIMpmMvtb7g5qaGtTU1EAikeD333/HrVu3EBUVhTNnzmDy5MlQqVRgMBjIz8+HTCbD1KlT/bLdQCCVSlFXV+dTh0ICgeHoor5bSqUSe/fuRX5+frsYrnd2qHzgnJycJpfT6XRgMpl0FfKGDRuwaNEi7Ny5E/n5+VCr1ZBIJC3uhHXlyhWkp6eTaXU/o9VqoVQqER8fH9BxWCwWcDgcVNXVF6FSOfU1Ki22bdmE48eOoE6tRlBQEMRiMfgCIeTyKjDZHGTlDEJe3hBIIuLAYDDAs9bhxJHDOH36N5SVlcIBwGa1IiYmFukZGeiT2Rt9+/ZtlynyzkpNTQ0YDAY2b92OohvX8fxLS2lR6CqMA3FT7jlj1hIcDgf+t3ET9u7+CalpaSguvgmRSIx7ZkzH4MGD6ShnW9NEqOIxLpcLsVgMh8OBS5cuoba2FpGRkYiKioJYLHa7RjkcDqjValy8eBHHT5yCXF6F4OBg5I+fiN6ZWW16r6moMYBWRY2pFIm6ujoUFRXh2LFjeOSRRxAdHd36QTXB7t27ce7cOahUKowcORLjxo3rttdzk8mE8vLydrWj7GhNsnfvXkikwcjuN8Dn18irKnH8yGFMnjzZp66GdyqdMA5KsNvt+PnnnzF8+HDodDqIxWLYbDZcu3YNCQkJ2LhxI+bNmwertfm5Vkpo3HXXXQCAxYsXw+FwYMCAAdBqtbh27RqKiopaVUjRXS+igYQqpgm0MP7888+xePFiN4cWKqVILBbj/rnzcf/c+dBqtTDr66DVaqHT6SAMCgbE4W7HhtMPPApT75mNqffMph83mUy4fu0qCq9cxk+792D16tWY9Yf7MXXSxDvi2OJyubh8+TKOHz2CN9/6B9hsNvhs0DcjgZylasu2P/30U8x9aBHiExKh1+swcdJUZGf29PtnymAwEBIS4vZ/7969m32NTCbD0KFDMXToUL+Ox5WXdxU2a+dGWaqp1WrodDpwuVzIZDKkpKRg1apVkEgk+Pjjj/Haa6+1i6PChQsXkJ2djTNnzkAoFHbrc47H48FkMsHhcHTr/ST4ByKMOyG1tbVISEiASqXClStXIJFIwGQyadud+fPng8VitToXlcFgICoqCgBa9QXRRScZugQymQxHjx5FVlZWQC/grqk1lDj2FkXky8SAzD3XnGqQQ6E2WBAp4TSYnufxeOjfNwu9M7Mw495ZuFVSgo8//ABHjp/CnxbOR0JCQrfOCeRwODh58iRm/+F+SKUyAHCL0HdFLl++jIULF4LBAIbkNh3Jom60OmP9RmtYkpcIoxVYtteZUlGiMjVwqjCbzXSKhM1mg1gsRnBwMOLi4tzOd6FQiKlTp2Lr1q3Yt28fxo8f7/fxOhwOOp3JaDQ2/4IuTlBQEDQaTZd1TCF0HN3gctT9OHz4MO655x4A6JTG5IEuEOvu5OTkBDyy8cUXX+CBBx4AGM7pfNdpfV/FjFTAoZvkUMt7imPX/+MTEvD6srew7ONP8eprb8BiMSM6KhLR0dGIiopCVFQUoqOjERsb2y1yBUvKKmG12RHfeyBKFPXdNgEX14guRk1NTYsKs7qDIPbk5fx08Nm3fY9VRtTV1UGlUkGv14PL5dJ+z41dQ+VyOaqqqjBgwAAEBQVh1apVGDVqlN+LVwUCAQwGA/h8PgyGrtOUqrUEBwfTRZgEQlN0w8tS1yc1NbVTd5YjHsbtC5/Px6ZNmzBz5syAjeGhhx7C4V+PYdDgPDdB662DGpUP69oUh4ISet5wzaOlhGFhtRZpw+/GzHvnQK/VwKqrBfRKVFZWoODsOfy0ew8qKsrxwP33Y9KkSf7Z2QBx+dIlhIZFIFjEg9pgoVvQd1WxqNPpoNFoAj2MgGG0OqOwZpMJap0aOQINtCYrvjiqw4LhPREfH+/TzW5lZSVdTJiZmYm4uDjs3r0bU6ZM8et47zRhTO1voIMOhM5Piy/BarUaW7ZswY0bN8Dn85GXl4dRo0YBAMrKyrBp0yZUVFRAIpEgPz8fAwY4p9P0ej3Wr1+Puro6zJkzB3FxcaitrcU777yD6dOnY8iQIW7befvtt5Gfn4+BAwe2fS+7GFartVOfuEQYty/BwcGYOXMm1q9fjzlz5gTkBkmr1UIoqk+RaMy1hRLDan19K/WE210hvQllbx3YAKeAPlmiBOBsry4TchAsCgUQSq+PoqK8HCuWvYaYmJhmi087M2plDUJCQhAp4dCpJl1VFANO4eF5Hb8T0Bos0GjqoKlTw2IxQyTgQyqVYsawvnht7w0AwFuHy3wuyAsNDUVFRQVKS0sRFxeHuXPn4s0330RMTAz69+/vt3FTQpH63d1hMBgQCoXQ6/V3VJEvoeW0KIGPMkBnMpl47LHHcO+99+LQoUMoKCiA1WrFF198gdjYWPzlL3/ByJEjsXHjRpSXlwMAjhw5gpiYGIwfPx47d+50W++ePXug0+n8t1ddmMrKSqhUqk7dvtJsNrfYTJ7QcubMmYPS0lKcOHGiw7ZZXl4OvV6Pffv2YUCO9yp9VwFHtVAHnIJYKvAeOfaEer3aYEGxQo9iRX1esuz2+tIjhUiPFILPdhfZ0TExmP/gAnyydi0slq6bk6uq04B5u2WttxST9vIxbi+YTCa2b9/e7fNVqdbLJSUluHLlCspuFcNutyMxPhaZvTKQlJSE4OBgsNlsLJuYjgSZ09ZyzbFin9YfGxuLOXPm4KWXXsK6desQERGBp556Ch9++CFOnz7tt/1wjRh398+MIjg4GEqlMtDDIHRyWiSMFQoFysrKMH36dISHhyM9PR3Z2dm4dOkSioqKYDAYMGXKFERERNB+pWfPngXg7K0eHh6OmJiYBiehw+HA7t27/bdXXZjIyEikpKQEehhNQjyMOwY2m424uDj07t0bu3btateiR5VKhYqKCpw/fx4cDqfZNrGuVlt8dn1OrKtQpqD+99Z23TPVIkLEoyPEVXUWVNVZUFilh9pgQYlCj3O31Dh3Sw1eTC9YrTaUlZW1dpcDTkJCIpS1yi4t7j2ZN29eizpodgUcDge0Wi3Ky8tRWFiIa9euQafTITQ0FOnp6UhMSUNoWHij10Sq+K4lnfEmTJiAf/3rX6itrcXy5cuRmZmJp59+Gh9++CH27dvnl2uBa8RYr9c3/4JugFgshlarDfQwCJ2cFgnj0NBQvP766wgKCqpfAZMJs9mMqqqqBg0koqOjUV1dDQAYPHgw9uzZg5UrV9KpFxTjxo3DiRMn6OjynQyDwcC5c+c6tfMDSaXoONhsNsRiMbKyslBVVYWrV6/6fRsFBQUwGo3QarWYMGGCT7MBlCD2fMz1OW+t1D3/d10mQsRDdrzUmXt8u3CPSs+goKLJDAYDwiBJl85pzeqdgfKyMpjNZp+i7F0Bh8OBXbt2BXoYbYLqNFdRUYHCwkIUFhZCpVJBJBIhLS0N6enpiImJgUgkAoPB8Hou+IOwsDA89dRTYLPZ2LdvH/r06YOXXnoJ27dvx4oVK6BQKNq0fovFAjabjYiICFRVVflp1J0bBoMBLpcLk6lj2ncTuiYtEsZMJtPtrrisrAxnz57FwIEDYTKZGjSJcLWBCQ8Px/PPP4+XX34Z2dnZbstlZGQgPT0dW7dube1+dCumTZuGLVu2oKamJtBD8UpnLgzsrsTFxYHP50MsFvttKrCkpAQ1NTWwWCyIiopCjx49fHpdUyLA8zmqmKyx1/DZQG6yFLnJUloUU6j0lgY/6ZFCZMdLUVClgpohwurd/pta7miSkpKgVNbiSlF91Ns1haIr5hszGAzcfffdHZr+01YoIVxZWYmrV6+isLAQtbW1EAqFSE1NRc+ePREXFwepVNom+0AqpaIlMJlM/OEPf8D27dsBOFu1/+Mf/0BCQgJefPHFNn1H1NbWIjQ0FAkJCSgtLYXdbm/1uroSISEhJJ2iERQKBWbOnAmRSITQ0FA888wzjR4XFosF3377LUaMGIGff/65g0favrTq0nv+/Hl8++23sFqtGDhwIDIzMxuN9rpGPtlsdqOCasqUKVi5ciUKCgpaVFDTHaYhjUYjzp8/j5CQEKjVajCZTAwYMABhYWGBHppXSFVvYJDJZBAIBNi9e3eb27NWVlbS5+agQYP8MbwGtFbYeUaJXdl+QY5yrbNQKCi1L2pO7YbD0fEttP0Bm81GWs/eOHv6OOIS3dOnuqIophAIBIiIiAj0MBqFEsJarRYajQZ2ux0CgQASiQTh4eHtUt/RGlFMkZGRgdraWqhUKshkMnC5XMyfPx8cDgcrV67EG2+80SrBrlAokJWVBalUCrvdfse0TJZIJKiqqqK9/An1PProo6ioqMCRI0dQWVmJefPmITExEU8++aTbctu2bcMf//hHWK1WVFdXd+oZ7tbQqtvf9PR0/OUvf8HcuXNx+fJlnDhxAgwGw+ub4+tFJjw8HMOHD8fOnTtblKMml8tx5coVXL9+HXK5nLZj6Sp8++23YLPZkEgkiIuLQ0ZGBhISEjr1FwshcPB4PCQlJbX5GD916hQSEhI61c0XlVqRECpEQqiQjiRT0WSZkEOLYgDIyMoCj2HHjgPHAzjqtjFpQj6qqypw7fczgR6K32Cz2Th06FCgh0Fjs9lQV1eHsrIyOjVCqVSCz+cjJSUFPXv2REJCAmQymV9E8YkiNU4Uqen/qaK7GLGgVetjs9lISUnBuXPn3B6fPXs2zGZzq+tzqIixxWKBxWKBWCxu/kXdACaTCRaL1S2Cav5Ep9Nh8+bNeOedd9C3b19MmDABjz32GL766qsGyxqNRrz77rsoLS0NwEjbn1bFJXg8HsLDwxEeHg6FQoFjx46hX79+DSxfqIpXXxkzZgx+++037N+/3+fXxMbGIjg4GGazGVqtFnK5HEajEUwmE2KxGEFBQRAKhQHvoGW321FeXg6xWIySkhK66GHy5Mlgs9no2bMnvWxn7mFus9k6tWPGnYDJZGp1kxWHw4G1a9di8eLF7TCyttNUpFSltyBGLKDFMZPJQtaw8Tjw01ZMGpUb8HO8NYSHh+Ouu+7C//3fx3gmOgXpcZ3nRqUtzJkzJ2Dbtlqt0Gg00Gg0MBgMYDKZEIlEkEgkiI6ObvfjJDFUCLXBWTSaHll/LZ+S1fpgx8yZM/HBBx8AAEaOHAnAGXR65JFH8Pbbb2P8+PEt3i+FQoGQkBDU1dVBJBLdUelxMpkMKpWqUzbQChTXrl2DxWJBnz596Meys7OxcuXKBsvOnj27A0fW8bToTLh+/Tq2b9+OJ598kp66ZDAYYLPZiIyMhEKhgNFopMVwRUVFixwWeDweJk2ahI0bN7ZYfHG5XISEhCAkJASAU8BptVqoVCq6cl0kEkEsFkMsFnfIReDSpUtITk7G+vXrsWjRIly4cAF33XUXJBJJgzzrrgKxags84eHhuHTpktsFzFcKCgo6rShuinO3nBG4CBGPFsY5kTLYQkfg46MH8OKqT/H2U11vv1gsFoKDg5HSIx3nTh9DepyziUNX9jSura3FwYMHce+997b7thwOB104qtFoYLFYwGKxEBQUhLCwMAgEgnZNs/FmqUcVlBYr9G6R47Z8pjk5OXjhhRfwwQcfoLS01NmVEs6cYz6fjzNnztA9A3zFarWCxWKhtrbWLYXCarWiuLgYDocDiYmJ3fJ6L5PJUFRU1OWFcVVVBY796vvsTFOz8XV1dQAAqVRKPxYcHEw/fifRotM0OjoadXV12LZtG4YOHQq1Wo2jR49i6NChSElJgVAoxNatWzFq1CjcuHEDJSUldGtjX+nXrx+OHTuG4mLfPB8bg8ViQSqV0h+y3W6HXq+HVqtFTU0NHXELCgqCSCSCUCj06wWUmqaxWq20EJk4cSIAZ9FNV4VYtQWe0NDQFucCrl27FgsXLoTNZmufQXUgrlPSCpMNMWMeQPG21fjy+yjMn+Xf7mAdxYCcbBTdLAn0MPwCh8NpN1FMBTy0Wi10Oh0cDgddlBoXF9ep3HJkQg4OFlXT/6v1FvDb0Oo7PT0dy5cvxwsvvICUlBTk5eWBwWDgoYcewn//+19IpVKkpaX5vL74+HiUlJTQvvkff/wx5HI5rl+/DqlUCgaDAavViqeffhrp6b41J+kqsG/7h3flGdDevXvj5s2bLXoNl8NGTHQUBIKGaT3evhsaS5Ht7rRIGAuFQixYsAA7duzAqlWrIBQKMXDgQAwfPhxMJhMPPvggNm/ejA8++ABSqRSzZ89uVa7stGnT8OGHH7b4dU1BpVa45lGZzWbodDooFAo6V0YoFNLLteVO+auvvsKDDz7YJYuCmsJisXTLCEJXQiwWY+3atVi0aFGzyzocDmzZsoVetqt2kpQJGx5zcp0J5VoDUuOjYL97Ifb++AVKblzFvD/ci4SEhC537rG6XiaIV3bt2oV77rmnzbNyDocDBoOBLpQzm81gsVgdmhbRHN46QlLOKgmhQqDI+fioZP9EJmUyGf785z/jvffeA5PJRG5uLnJzc6HRaLB8+XJMmDABM2bM8CmFMTExEcXFxZBKpSgpKUFOTg4GDhyIHj16IDg4GADwyy+/4K233sKsWbMwadKkLndONYVUKoVaraZnmbsaMTExiImJ8dv6qHPJbrfTfzscji5749AWGI4uejugVCqxd+9e5Ofn0ydxW3E4HHRUWavV0lNNIpGI/mnuIDEYDNixYwdmzZrllzF1NsrLyxEUFOTmZU3oeFwvXs0tV1tb26mK7FpDVZ2FbiJC/V+s0NPiGABCGFYcP7Qb5RdOgMfjI7ZHJiaPGAixWAw+nw8+nw+73Q6z2UzbSMbExCA4ODigX/jXr1/HDz9sQu+sbEy+e3zAxuEPrly5guDg4BYHRBwOB10notPp6HoVKhosFos73UyVtzQKusW5kIO9l+sdVChhLBVw6OPY9fUtTbE4e/YsVq9ejbS0NDz66KMQCoWorq7GJ598gqtXr2Ls2LGYPHlykzNLu3fvxuXLl7F48WIcP34co0eP9rpcaWkp3nvvPcTExODxxx9vUd1QZ8ZkMqGsrMxvDbXaQ5N0JGfOnEH//v1RU1OD0NBQAMAPP/yAJUuWNGkLyGAwcODAgQb9KboyXTSLrX1gMBi0AI6MjATgTIWgIhZyuZxOwXAVy5RAKSgoQFRUFKZM6ZrTub5Amnt0Dnbv3o2srCzExcU1udy6deuwcOHCDhpV+xHpMQUdKeEgUiLF9gtyOrWiXGtAjxGTkDZsIuqqSlFz4xLWfb8VOr0BfNhgMRthBwMsNgdioQBWmx3qmiqAyYI4LAqi0EiIQ6Nw/105SEtL67Dj3Gq14kZREXLvvr9DtteeiEQir9O0nlgsFloE6/V6OBwO8Hg8iESiDskN9gd8tvdujtRzrrnwCaFClCicHRwjJRyvLcBbIo779u2L999/H//973/x8ssv4/nnn0dERAReeOEFlJSUYOvWrXjuuefwzDPPNJoGodFoIBQKIRQKGxXFgNNDfcWKFVi1ahU++OAD/O1vf+sWUUQejwez2UzsR2/To0cPsNlsnD59GuPHO2/Qz507h8zMzACPrOMhwtgLVVVV4HA4OHToECZNmgSz2YzIyEgwmUwwGAz6oq5Wq3Hjxg2w2WyUlJQgLS0NHA6nW6cakFSKzsG4ceN86vo2e/ZsaLXabmvFlB4uhup2lI4SIrESEWIlPRGRk42CKhXditfVS5YS02UaHYx1KmgVldDVVEFdWYJ3/30MBlUNeOFxmDoyF5mZmfSXRntQUFCAHr36QCASd+miO8B57VSpVMjKygLgjARbLBZaAOv1etjtdrqjo0wmQ0xMTMBTItoC9Xk11phFdrvJDdXNsaqu3ibMtfNjSz97Pp+Pxx9/HD/88ANeeuklPPnkk+jTpw8SEhLw+OOP49dff8Vbb72F2bNnY/z48Q2O3wsXLmDcuHE+b+upp57Cm2++ic8++wyLFi3qFmIyKCgIGo0GEokk0EMJOGKxGNOnT8fzzz+P8PBw1NTU4KOPPsLy5csBOCPsnW3Wpr3owpfg1qHVasHlcvHNN99g6NChKC0tRe/evSGRSOgpIoPBAJPJhBEjRkCr1eLatWsQiUQwm81QKBTo3bs3Dhw4gDlz5uDUqVOYMWMGIiMjwWKxoNfrcePGDfriT92Rdxc7HF+n8Anti16vx/HjxzFhwoQmlyspKaHz5rsjlB3WiSI1YsSCBpZYcp2JFsYUMWIBIkQuF/ggEcqlIQhP6U0/f1NejatXruBKSSX2HjiEOlUtevQfhmf/ON+v7+WlS5fw22+/Yfqch/22zkDhcDiQlpYGg8GAkpISGI1GOBwOcLlcCIVCSKVSREVFdYtoI4WrkPUWQQacNoNGa8MW6a7R5dbCYDAwc+ZMxMbG4t///jd69uyJuXPnIioqCsOGDUNsbCz++9//YvPmzZg4cSLy8/MhkUigUqlw7do1PPPMMz5vi8vl4tlnn8Urr7yCb7/9FrNnz+7yn6VMJoNCoSDC+DarV6/GI488gmHDhkEoFGLx4sV45JFHUFJSggEDBuC3335DfHx8oIfZ7nT7HGOj0YjKykqEhYXBbDZj3759DQpDTpw4gdTUVBw9ehQjR47EgQMHMH369DaP0Wq1Qq/X09ESq9UKJpMJgUBAC2Yej9el7ryvXLni5rlMCBxnz55F3759m13u6NGjGDJkSAeMqHPi2i2PYkleIv1chIjnlqvs6pVMcf1WBWpO74W2+HcEh0cjr382Jk6c2KbuWUajEc8++yzumjgdyckpCAqNQkKosEtEjG02GwwGAx0FNpmcNx98Ph+XLl1CZmYmYmNj7+ibaKqxR06kDNnx9RZYvny+rWkLrtfr8cMPP2D37t2Ii4vDwoULaZeKwsJC7NixAwUFBUhKSoLFYqFb/rYUuVyODz74AHq9HvPmzWuxTVxnwuFw0N9pbf0e7uo5xoR6usAluPV8/fXXmDp1KlQqFWw2G+x2u1dj6tzcXADOin2JRELn17QVqqOd690oZRun1+tRWVlJf6FwOBxaLAsEgk6ZrmC327uUiO/uWCwWnyL4d3o0xFXk5kTKINfVR5CpCPP2C3IAjXcn4wSFIHrUfYgROsBWVqKq+Ar+9vfn0G/MNPz1oXtbdV5s2LABIZGx6N13IHS1VZ1SFDscDphMJvqaZTAY6GOOusGPiopyu8FPTExEQUHBHRFZ8pXGosme+LJMYwiFQsybNw/33XcfDh06hOXLl+Ojjz6CUChEeno60tPTUVNTg5KSEtTV1aFXr16t2k5ERASWLVuGo0eP4pNPPkFFRUWXrathMBgQCAQwGAydurEWoWPpZJfhtkGJzv379yMvLw9Tp06FWCxGTk6OT6+noj++FI+0Fm+2cVQeHuWIUV1dDavVCgaDAR6PRwtmPp8f0Kkri8VCCu86EcHBwXR0rikMBgMKCwu7nRepr7iK4dxkqVvTBQoqtSI9XIzCaq3b68q1Bvf85NReyMnOASsxE2d2fI3nrl3A8399okW2T/v378cvvx7BEy8sA4vNgYjLCKgoplwhjEYjHQmmvNj5fD4EAgFkMhmio6N9ugbdqe12mxK2lGNFY17Gnq9t7fHA5XKRn5+Pw4cP4+zZs26zRWFhYX5xqGEwGBg6dCiSkpLw8ssvIy4uzufv2c4G1QWPCGMCRbcQxg6HA3v27EFmZiaKioowbdq0QA+pRTAYDHC5XHC5XDd7Haqrk16vh1KppKM1lGAWCAT0T0fkL5Oud50LyjmlObKysrpFfntryU2W0hFh6n9PKJ/k9Egh0iOFOFGkbvA6oD7NolxrgIoXjoRpj0J28yie/uvfMGX2XMyaNKbJ6LFOp8OGDRtw4tRpzFz0FMQSKaQCDhQq/+xrc1ACmBK/RqORFrFcLpe+noSEhIDD4bR6higuLg4HDx7sVhZOvkBFhr845UyjoGYgCqv0jb7GM/fYXzdIAwYMwOnTp9s1jSomJgZPPvkkPvjgA4wePRr33Xdfl7NzCwoKQmVlZaCHQehEdPlvy507d2LmzJnIyMhAbGwsYmNjAz0kv0FN83hGsO12O0wmEwwGA+rq6iCXy2G1OsMNPB6PjvDw+XxwuVy/pT+QiHHnwtdGH1evXoVer8fgwYM7aGSdD7diOy9QRXwUlHiekhWBNceK6YI91zQMZxSZh5ikaUjt1Rdbv1mLA4cOYfLdk3H3yIFuKS4OhwM/Hz6Czz9fh4TUnpj7+MsQBUloX1tVhX9LPWw2G4xGo9uP6zVCIBBALBYjPDy8XW52w8PD79g8S1dhOyghGMWKelEsFdS/156C2PO1bSU9PR379u1r94LpnJwcvPvuu/jss8/w17/+Fc899xwSExPbbXv+hslkgs1mEytSAk2XL74bO3Zsl+1c429co0HUlyHl08hkMmnRTP20NCJUWVkJgUDg1kudEFia8+C0Wq1QqVQIDQ0l+eGt4ESRGnKdCVOyItxSMFwFMpXDbDUbUXr2GOQXT0JjMIEZ1RP5vWNg0Otx6ffzsNvtGD3tASSlO90vXCPX165dQ3JycotSpVyblVDnvNlsBgCwWCy3c53P53f4rMHmzZsxfPjwLt9cpjVQBZ9U4V3JbXGcEFp/A+YqgltTbNccFosFr7/+OqKjo/Hoo492SCHknj178P333+Pvf/87UlNT2317/kKhUMBms7WqUy8FKb7rPnT5iDH5sq+HSrHw5jVot9tpsazValFTU0NPobJYLFo0U6/3Fmk2m81EFHcydu7ciX79+jXaGlSlUuHy5csYPnx4B4+s++EtBcM11YLN5SNp0Cgw0vIgqbqJyuuFuFylRmqYFNPmPIyE5FT0ivFeCMnhcGCxWBoIY5vNBpPJBJPJBKPRCJPJ5NaUgDpvhUIhQkND25T+4G9mzJiBioqKQA8jIFAzDdQNVHqkEIVVepQo9JAKOO2WPuEKh8PBiy++iDfeeAMbNmzA/Pnz/b8RD8aNGwcWi4Vly5Zh7NixuO+++7pEFFYmk+HGjRttEsaE7kOXjxiTu7O2Q027Ul/Anl++XC4XPB4PNTU1SEpK6rCcZkLzWK1WaDQar+dAaWkprl692mRXK0LrcRXFVNTY1TM5L06Gcq0BMWIB8jMivIofapanrKwMbDYbTCYTJpOJTnugblqpH3+nR7U3O3bswOTJkwM9jIDgenxQn79nc4/GBLE/I8hKpRLPPfccUlJSMHv27A6J5NbU1GD16tVwOBx4/vnnu0RtSmFhIVJTU1td4E40SfeBCGNCk1Bf3CaTCTdu3EBYWBiMRiNsNhv95UwVDlKRZh6P16kiV90ZjUaD48ePIz8/3+1x1w5jXa0YpqvgmVrh6X2cEylDQaUSMUI2MsMF4DJscNjMbsKXuvE0m81gs9mIiIgISNpDe2G1WrFjxw6/+MJ3RShxnJ/hjERSxXmUQwWFt3xjanl/oNVqsX//fmzevBnLli1rdIbJn1itVrzzzjvgcrl4+umnO30zkKqqKnC53FbrCaJJug/d4+pLaDdc0zMEAgHi4uLcnqeEMyWeNRqNW5qGw+EAm80Gh8OhBTSXy6VbZ9/JDQD8QVBQkNcc+6qqKmg0GmRnZwdgVHcGAxLE9LGfLGbAHMyGxWKBxWJBrdYMh0qLDI4DDDsHKo0dMaFB4IpEiBLywGKx3G4c6+rqumXrbjabjWHDhgV6GAGDKtg8d0tNN/ngswHcFsKUQFbrLW7i2N+pFWKxGNOmTYPZbMann36Kl156qd0DF2w2G8888wyWL1+O1atXd1iec2uRyWQoKysjopZAhDHBNxor8nIVzkFBQV5fZ7PZYDabYbFYYDaboVaraQFht9vp9VDimRLNrj+d+YIaaBgMBux2OxwOBwwGA3bt2oWxY8ciOTk50EPrcnger1arlT5uqf8pWCyW282eRCKhj98et4/XqjoL1AYLXXTVmOChosbdkT179tCe8ncKVCoEZfnnWqwJ1B8Hnp7GRmv75BtTTJs2Dfv27cOlS5fQu3fv9tvQbXg8Hp5//nm8/vrrWLduHRYsWNBpZxJ5PJ5bCiHhzoUIY4JP2Gy2Vk2FMRgMsNnsZqeGqSYnlAChGp54CmjAaa/D4XDoSDT1t+vPnSSkeTwe/ve//yEvLw8VFRWYNWtWoIfUaXA4HLDb7bTAtVqt9A91bFmtVlAZZQwGAywWi75JY7PZEAgEtOj1jPQ2R6TEacfWHFwut9s2xbj//vsDPYSAYbS6N41pbBnAKYg9RbG/3Sq4XC7Gjx+Pn376qUOEMeDsyPfSSy/h1VdfxUcffYT09HRkZWV1SDpHSxGLxdBqtV6DPIQ7ByKMCT7R3h6Prk1OmsNut9OihhI2JpOJ/ptq/+2Kp3BmsVhgsVgN/mYymV0mWuBwOKDT6VBYWAipVIrExMQu5R/aEqhILvX5uv6m/nZ93BXqs3W9gRIIBAgKCqLFb6A/cyaT2eCY7S4UFBTAarVi4MCBgR5Kh+HZAjpCxGtW3FLRYm/d8/wZSR47diwee+wxKJXKDksbkEgkeOWVV7Bz506cPXsWO3bswPvvv9/pAhgymQxKpZII4zscIowJPtGZzM8pT2ZvtnTecBVVrkLKYrHAYDA0KaqA+igik8l0++3tMeo3g8EAk8mkhXZ7CC+NRoPDhw9jxowZfl93W6CitI39UDcu1PtO/VCPNVYP7HojQ/3mcDh0sZrr44TOQ3Z2Nurq6gI9jA6HErlSAQcqvQWFVXqvKTVuBXkdYOMmkUiQm5uLvXv3Yvbs2f7fQCOEhIRg3rx5tFPFvn37MG7cuA7bvi+IRCKUlpYGehiEAEOEMcEnunI7aF/TORqDEnqeAo76TaV6uD7vKg5bYvxCiejmfiiMRiNKS0vpxzwFOIPBoLfvOg7Px1x/u/5Q429sH1zz8VzTEaibAtcf6gaDuoHg8Xj0/543F3ci1GcV6Oi1v7HZbDh06BCmTZsW6KEEBKmQAygAld4CqcDSwIHCm0tFe+YZA8CECRPwzjvvoF+/fkhLS2vfjXnwt7/9DdOnT8dnn32GiIgIZGZmdhoXFqpmxmQy+Rx4IXQ/OsfRSOj0WCwWCIXC5hfshrgKuvbEU5Q29kMtCwCjR4+GyWSip/68iV9votnzMdff1I9rtLu9ot6Eethsdrdsu87hcJCSkhLoYQQESuBS3e/UBmcxJgC60Yda716gCbRPJzxX0tPT8cADD2D58uV45JFHMHTo0PbZkAd2ux23bt3C8ePH8dBDD+Gzzz6DVqvF3LlzO43fOpVOERUVFeihEAIEEcYEn+hMqRTdldaIT5FIhE2bNmHatGkkhaCLQzlTdMfzTKPRBHoIAYXPrm8HTVu0uYhkapn2FsSujBkzBrGxsXj77bcREhKCjIyMdt8mk8lEbGwszGYzMjIysGLFCpSWluK9995DTU0NZs2aFfAbcIlEguvXrxNhfAfT5YXxnZi7FgjUajWkUmnAL1qEhowaNQobN27EmDFjiDjuwphMJigUim7pTsFgMHD9+nWvntt3GtRtT7jH/Y9SWW/p5t4qpv2IiIjAggUL8J///Ad//vOfERYW1u7b1Ol00Ol0WLp0KQAgKioKkydPxrFjx1BXV4fp06cH/DpmMBhQU1PTonEQLdJ96LKd7/R6PXbt2uW1WIpAIBAIBAKhI2GxWJg4ceIdm3bYXeiywhhwimOTydT8ggQCgUAgEAjtCI/HI6K4G9ClhTGBQCAQCAQCgeAv7kxfJAKBQCAQCAQCwQMijAkEAoFAIBAIBBBhTCAQCAQCgUAgACDCmEAgEAgEAoFAAECEMYFAIBAIBAKBAKAbNPggtA86nQ4//PADCgsLweFw0L9/f0yaNAlMJhObNm3CpUuXMG7cOAwaNCjQQyUQOiVKpRLbtm1DUVEROBwOsrOzMXHiRLDZbJSVlWHTpk2oqKiARCJBfn4+BgwYAMBpQ7l+/XrU1dVhzpw5iIuLQ21tLd555x2v23nzzTfB4XA6ctcIhC7Lnj17sG/fPvz9739HSEgIORcJDSDCmOCVzZs3Q6PR4NFHH4VWq8W3336L4OBgREdHQy6XY968efjqq6+Qk5NDLgQEggc2mw2fffYZoqKi8Kc//QkajQbffvsteDweRo8ejS+++AIZGRm47777cP36dWzcuBHR0dGIiYnBkSNHEBMTg7y8POzcuRNLliyh1/vYY49BJpO5bYucfwSCbygUChw6dIj+32q1knOR0AAijAkNMJvNuHjxIh555BHExMQAAPLy8lBQUIDg4GBIpVJER0eDxWLBZrORiwGB4EFxcTEUCgUef/xxcLlcREZGYujQobhw4QKSkpJgMBgwZcoUcDgcRERE4Ny5czh79ixiYmJgNBoRHh5O/+2KSCRCUFBQgPaKQOjabN26FX369MFvv/0GACgqKiLnIqEBJMeY0ICamhrYbDZERUXRj0VHR6O6uhrp6elQKBRYunQpevbsCT6fH8CREgidk5CQEMyfPx9cLpd+jM1mg8lkoqqqCqGhoW43lNT5BQCDBw/Gnj17sHLlSowaNaqjh04gdEt+//13yOVyt3OKnIsEb5CIMaEBVJttV9ErEAhgMpnAZrPx5z//GTqdDmKxOFBDJBA6NTKZzG2a1W6348yZM+jbty9MJlODG0qBQIDKykoAQHh4OJ5//nlYrVZy40kg+AGLxYJt27Zh6tSpYLPrZQ85FwneIMKY0AC73e71cap7OIPBIKKYQGgB+/btg9FoxNChQ3Hw4EGvy1DnF+CMLrt+gVO8//77YDAY9P9Tp04lBbAEQjPs378fERERyMzMRG1tLf14c991ADkX70SIMCY0gDrZ7XY7mMz6bBvXvwkEgm9cuHABhw4dwh//+EdwOBwwGAy3L14KFovV7LoWLFgAiURC/09uUAmEpqmpqcGRI0fwxBNPNHiOnIsEbxBhTGgAj8cDABgMBohEIvpvMpVEILSM8vJyfPfdd7j33nsRFxcHwHl+GQwGt+V8Pb9kMhlCQkLaZawEQnfk8OHDMJvNWLVqFYD6aPD777+P0aNHk3OR0AAijAkNCAsLA5PJRFlZGdLT0wEAFRUViIyMDPDICISug0ajwRdffIHhw4ejX79+9OORkZFQKBQwGo30F3BFRQVSUlICNVQCodsybtw4jBgxgv6/rq4Oa9aswYIFC6DRaMi5SGgAEcaEBvB4PPTu3Ru7du2CSCSCXq/HsWPHMH78+EAPjUDoElitVnz55ZcICwtDXl4eNBoN/VxKSgqEQiG2bt2KUaNG4caNGygpKcE999zT7Hp1Ol0De0SRSETSnAiERhCLxW5pDtS5IpPJkJCQgB07dpBzkeAGw+EtwYZwx6PT6bBx40ZcvXoVHA4HgwYNwsSJE92KDQgEgndu3LiBNWvWeH3ukUceAY/Hw+bNm1FRUQGpVIrx48cjJyen0fU11W3rpZdeIn6qBIKPUOcS1fmutLSUnIsEN4gwJhAIBAKBQCAQQBp8EAgEAoFAIBAIAIgwJhAIBAKBQCAQABBhTCAQCAQCgUAgACDCmEAgEAgEAoFAAECEMYFAIBAIBAKBAIAIYwKBQCAQCAQCAQARxgQCgUAgEAgEAgAijAkEAoFAIBAIBABEGBMIBAKBQCAQCACIMCYQCAQCgUAgEAAQYUwgEAgEAoFAIAAA/h/omYmak4deYgAAAABJRU5ErkJggg==", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "chart = earthkit.plots.Map()\n", "\n", diff --git a/docs/examples/gallery/time-series/cmip6.ipynb b/docs/examples/gallery/time-series/cmip6.ipynb index b537e85..277e675 100644 --- a/docs/examples/gallery/time-series/cmip6.ipynb +++ b/docs/examples/gallery/time-series/cmip6.ipynb @@ -18,1373 +18,93 @@ "source": [ "import earthkit.data\n", "import earthkit.plots\n", - "import earthkit.plots.quickplot as qplot\n", "import earthkit.aggregate\n", "\n", - "import xarray as xr\n", - "\n", - "xr.set_options(keep_attrs=True)\n", - "\n", - "earthkit.data.settings.set(\"cache-policy\", \"user\")" + "import xarray as xr" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 2, "id": "5d775e95-fdcd-415e-b591-660f9b341513", "metadata": {}, "outputs": [], "source": [ - "MODELS = ['inm_cm5_0', 'inm_cm4_8', 'ipsl_cm6a_lr', \n", - " 'miroc_es2l', 'mpi_esm1_2_lr']" + "MODELS = [\n", + " 'hadgem3_gc31_ll',\n", + " 'inm_cm5_0',\n", + " 'inm_cm4_8',\n", + " 'ipsl_cm6a_lr', \n", + " 'miroc_es2l',\n", + " 'mpi_esm1_2_lr',\n", + "]\n", + "\n", + "EXPERIMENTS = [\n", + " 'historical',\n", + " 'ssp126',\n", + " 'ssp245',\n", + " 'ssp585',\n", + "]\n", + "\n", + "HISTORICAL_YEARS = [str(year) for year in range(1850, 2015)]\n", + "PROJECTIONS_YEARS = [str(year) for year in range(2015, 2100)]" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 3, "id": "0bc6e876-13b6-47a4-b615-432f0fbc7056", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-06-04 09:51:25,560 WARNING Unknown file type, no reader available. path=/var/folders/vt/7j2c2tmx4m14gn_sg3zpf5l00000gn/T/earthkit-data-mavj/cds-ba8c2f2cd22cc66ea725f593f9d38d60085e61c81447c859f1ac0394d03b8d20.d/adaptor.esgf_wps.retrieve-1717488928.4750855-4357-19-2e18a4eb-6297-4f66-b335-99306a79592b_provenance.png magic=b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x1ba\\x00\\x00\\x03\\x1e\\x08\\x06\\x00\\x00\\x00\\x80M)\\xa5\\x00\\x00\\x00\\x06bKGD\\x00\\xff\\x00\\xff\\x00\\xff\\xa0\\xbd\\xa7\\x93\\x00\\x00 \\x00IDATx\\x9c\\xec\\xddy' content_type=None\n", - "2024-06-04 09:51:25,580 WARNING Unknown file type, no reader available. path=/var/folders/vt/7j2c2tmx4m14gn_sg3zpf5l00000gn/T/earthkit-data-mavj/cds-07cb028c2d6dd5021f998e7bc04ca96cde03aaeb01ec20a250481df2460cf9e7.d/adaptor.esgf_wps.retrieve-1717489034.6937804-14866-19-967df440-2dc8-4141-8e8c-9498ce212552_provenance.png magic=b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x1ba\\x00\\x00\\x03\\x1e\\x08\\x06\\x00\\x00\\x00\\x80M)\\xa5\\x00\\x00\\x00\\x06bKGD\\x00\\xff\\x00\\xff\\x00\\xff\\xa0\\xbd\\xa7\\x93\\x00\\x00 \\x00IDATx\\x9c\\xec\\xddy' content_type=None\n", - "2024-06-04 09:51:25,597 WARNING Unknown file type, no reader available. path=/var/folders/vt/7j2c2tmx4m14gn_sg3zpf5l00000gn/T/earthkit-data-mavj/cds-4360dd2bb765424e17218395b701d10290878d4d244e73e3667046d4bfd02c99.d/adaptor.esgf_wps.retrieve-1717489203.042636-17053-18-064ae3d2-ff30-4f63-9796-fe1a798e8525_provenance.png magic=b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x1b{\\x00\\x00\\x03\\x1e\\x08\\x06\\x00\\x00\\x00\\xb0\\xc18\\x84\\x00\\x00\\x00\\x06bKGD\\x00\\xff\\x00\\xff\\x00\\xff\\xa0\\xbd\\xa7\\x93\\x00\\x00 \\x00IDATx\\x9c\\xec\\xddy' content_type=None\n", - "2024-06-04 09:51:25,638 WARNING Unknown file type, no reader available. path=/var/folders/vt/7j2c2tmx4m14gn_sg3zpf5l00000gn/T/earthkit-data-mavj/cds-a53689f9af80fb679edbe7556a3a2b63ec47ca16c2627ef631556acd8b38495d.d/adaptor.esgf_wps.retrieve-1717489419.4172564-13657-9-bce38b15-0bd7-4714-bbc6-aa9c0339257b_provenance.png magic=b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x1br\\x00\\x00\\x03\\x1e\\x08\\x06\\x00\\x00\\x00L\\xd4\\x13N\\x00\\x00\\x00\\x06bKGD\\x00\\xff\\x00\\xff\\x00\\xff\\xa0\\xbd\\xa7\\x93\\x00\\x00 \\x00IDATx\\x9c\\xec\\xddy' content_type=None\n", - "2024-06-04 09:51:25,669 WARNING Unknown file type, no reader available. path=/var/folders/vt/7j2c2tmx4m14gn_sg3zpf5l00000gn/T/earthkit-data-mavj/cds-24d185c61e18585cb10f70fb33d9f626a594d28f5666c395c99b20b27a0eb52b.d/adaptor.esgf_wps.retrieve-1717489854.084765-17621-18-f34d5d18-521b-4985-92d7-fa1a4721274e_provenance.png magic=b'\\x89PNG\\r\\n\\x1a\\n\\x00\\x00\\x00\\rIHDR\\x00\\x00\\x1b\\x8c\\x00\\x00\\x03\\x1e\\x08\\x06\\x00\\x00\\x00BQ\\xafd\\x00\\x00\\x00\\x06bKGD\\x00\\xff\\x00\\xff\\x00\\xff\\xa0\\xbd\\xa7\\x93\\x00\\x00 \\x00IDATx\\x9c\\xec\\xddy' content_type=None\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "inm_cm5_0\n", - "inm_cm4_8\n", - "ipsl_cm6a_lr\n", - "miroc_es2l\n", - "mpi_esm1_2_lr\n" - ] - } - ], + "outputs": [], "source": [ - "data = []\n", + "data = {}\n", "\n", - "for model in MODELS:\n", - " print(model)\n", - " data.append(\n", - " earthkit.data.from_source(\n", - " \"cds\",\n", - " 'projections-cmip6',\n", - " {\n", - " 'format': 'zip',\n", - " 'temporal_resolution': 'monthly',\n", - " 'experiment': 'historical',\n", - " 'variable': 'near_surface_air_temperature',\n", - " 'model': model,\n", - " 'year': [str(year) for year in range(1850, 2015)],\n", - " 'month': [\n", - " '01', '02', '03',\n", - " '04', '05', '06',\n", - " '07', '08', '09',\n", - " '10', '11', '12',\n", - " ],\n", - " },\n", - " ).to_xarray().tas\n", - " )" + "for experiment in EXPERIMENTS:\n", + " data[experiment] = []\n", + " years = HISTORICAL_YEARS if experiment == \"historical\" else PROJECTIONS_YEARS\n", + " for model in MODELS:\n", + " data[experiment].append(\n", + " earthkit.data.from_source(\n", + " \"cds\",\n", + " 'projections-cmip6',\n", + " {\n", + " 'format': 'zip',\n", + " 'temporal_resolution': 'monthly',\n", + " 'experiment': experiment,\n", + " 'variable': 'near_surface_air_temperature',\n", + " 'model': model,\n", + " 'year': years,\n", + " 'month': [f\"{month:02d}\" for month in range(1, 13)],\n", + " },\n", + " ).to_xarray().tas\n", + " )" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 4, "id": "8d07b5ef-2c29-4539-b9dd-61e9be5c7886", "metadata": {}, - "outputs": [ - { - "ename": "TypeError", - "evalue": "cannot compare cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True) and Timestamp('1850-01-16 12:00:00') (different calendars)", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/pandas/core/indexes/base.py:3395\u001b[0m, in \u001b[0;36mIndex._union\u001b[0;34m(self, other, sort)\u001b[0m\n\u001b[1;32m 3394\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3395\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_outer_indexer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m)\u001b[49m[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 3396\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mTypeError\u001b[39;00m, IncompatibleFrequency):\n\u001b[1;32m 3397\u001b[0m \u001b[38;5;66;03m# incomparable objects; should only be for object dtype\u001b[39;00m\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/pandas/core/indexes/base.py:418\u001b[0m, in \u001b[0;36mIndex._outer_indexer\u001b[0;34m(self, other)\u001b[0m\n\u001b[1;32m 417\u001b[0m ov \u001b[38;5;241m=\u001b[39m other\u001b[38;5;241m.\u001b[39m_get_join_target()\n\u001b[0;32m--> 418\u001b[0m joined_ndarray, lidx, ridx \u001b[38;5;241m=\u001b[39m \u001b[43mlibjoin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mouter_join_indexer\u001b[49m\u001b[43m(\u001b[49m\u001b[43msv\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mov\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 419\u001b[0m joined \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_from_join_target(joined_ndarray)\n", - "File \u001b[0;32mjoin.pyx:576\u001b[0m, in \u001b[0;36mpandas._libs.join.outer_join_indexer\u001b[0;34m()\u001b[0m\n", - "File \u001b[0;32msrc/cftime/_cftime.pyx:1432\u001b[0m, in \u001b[0;36mcftime._cftime.datetime.__richcmp__\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mTypeError\u001b[0m: cannot compare cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True) and Timestamp('1850-01-16 12:00:00') (different calendars)", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[23], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mxr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconcat\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/core/concat.py:240\u001b[0m, in \u001b[0;36mconcat\u001b[0;34m(objs, dim, data_vars, coords, compat, positions, fill_value, join, combine_attrs)\u001b[0m\n\u001b[1;32m 235\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 236\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompat=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcompat\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m invalid: must be \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbroadcast_equals\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mequals\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124midentical\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mno_conflicts\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m or \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124moverride\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 237\u001b[0m )\n\u001b[1;32m 239\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(first_obj, DataArray):\n\u001b[0;32m--> 240\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_dataarray_concat\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 241\u001b[0m \u001b[43m \u001b[49m\u001b[43mobjs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 242\u001b[0m \u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdim\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 243\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata_vars\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata_vars\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 244\u001b[0m \u001b[43m \u001b[49m\u001b[43mcoords\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcoords\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 245\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompat\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcompat\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 246\u001b[0m \u001b[43m \u001b[49m\u001b[43mpositions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpositions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 247\u001b[0m \u001b[43m \u001b[49m\u001b[43mfill_value\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfill_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 248\u001b[0m \u001b[43m \u001b[49m\u001b[43mjoin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 249\u001b[0m \u001b[43m \u001b[49m\u001b[43mcombine_attrs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcombine_attrs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 250\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 251\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(first_obj, Dataset):\n\u001b[1;32m 252\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _dataset_concat(\n\u001b[1;32m 253\u001b[0m objs,\n\u001b[1;32m 254\u001b[0m dim\u001b[38;5;241m=\u001b[39mdim,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 261\u001b[0m combine_attrs\u001b[38;5;241m=\u001b[39mcombine_attrs,\n\u001b[1;32m 262\u001b[0m )\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/core/concat.py:714\u001b[0m, in \u001b[0;36m_dataarray_concat\u001b[0;34m(arrays, dim, data_vars, coords, compat, positions, fill_value, join, combine_attrs)\u001b[0m\n\u001b[1;32m 711\u001b[0m arr \u001b[38;5;241m=\u001b[39m arr\u001b[38;5;241m.\u001b[39mrename(name)\n\u001b[1;32m 712\u001b[0m datasets\u001b[38;5;241m.\u001b[39mappend(arr\u001b[38;5;241m.\u001b[39m_to_temp_dataset())\n\u001b[0;32m--> 714\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[43m_dataset_concat\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 715\u001b[0m \u001b[43m \u001b[49m\u001b[43mdatasets\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 716\u001b[0m \u001b[43m \u001b[49m\u001b[43mdim\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 717\u001b[0m \u001b[43m \u001b[49m\u001b[43mdata_vars\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 718\u001b[0m \u001b[43m \u001b[49m\u001b[43mcoords\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 719\u001b[0m \u001b[43m \u001b[49m\u001b[43mcompat\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 720\u001b[0m \u001b[43m \u001b[49m\u001b[43mpositions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 721\u001b[0m \u001b[43m \u001b[49m\u001b[43mfill_value\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfill_value\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 722\u001b[0m \u001b[43m \u001b[49m\u001b[43mjoin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 723\u001b[0m \u001b[43m \u001b[49m\u001b[43mcombine_attrs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcombine_attrs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 724\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 726\u001b[0m merged_attrs \u001b[38;5;241m=\u001b[39m merge_attrs([da\u001b[38;5;241m.\u001b[39mattrs \u001b[38;5;28;01mfor\u001b[39;00m da \u001b[38;5;129;01min\u001b[39;00m arrays], combine_attrs)\n\u001b[1;32m 728\u001b[0m result \u001b[38;5;241m=\u001b[39m arrays[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39m_from_temp_dataset(ds, name)\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/core/concat.py:487\u001b[0m, in \u001b[0;36m_dataset_concat\u001b[0;34m(datasets, dim, data_vars, coords, compat, positions, fill_value, join, combine_attrs)\u001b[0m\n\u001b[1;32m 484\u001b[0m \u001b[38;5;66;03m# Make sure we're working on a copy (we'll be loading variables)\u001b[39;00m\n\u001b[1;32m 485\u001b[0m datasets \u001b[38;5;241m=\u001b[39m [ds\u001b[38;5;241m.\u001b[39mcopy() \u001b[38;5;28;01mfor\u001b[39;00m ds \u001b[38;5;129;01min\u001b[39;00m datasets]\n\u001b[1;32m 486\u001b[0m datasets \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\n\u001b[0;32m--> 487\u001b[0m \u001b[43malign\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdatasets\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mjoin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexclude\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43mdim\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfill_value\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfill_value\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 488\u001b[0m )\n\u001b[1;32m 490\u001b[0m dim_coords, dims_sizes, coord_names, data_names, vars_order \u001b[38;5;241m=\u001b[39m _parse_datasets(\n\u001b[1;32m 491\u001b[0m datasets\n\u001b[1;32m 492\u001b[0m )\n\u001b[1;32m 493\u001b[0m dim_names \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(dim_coords)\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/core/alignment.py:888\u001b[0m, in \u001b[0;36malign\u001b[0;34m(join, copy, indexes, exclude, fill_value, *objects)\u001b[0m\n\u001b[1;32m 692\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 693\u001b[0m \u001b[38;5;124;03mGiven any number of Dataset and/or DataArray objects, returns new\u001b[39;00m\n\u001b[1;32m 694\u001b[0m \u001b[38;5;124;03mobjects with aligned indexes and dimension sizes.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 878\u001b[0m \n\u001b[1;32m 879\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 880\u001b[0m aligner \u001b[38;5;241m=\u001b[39m Aligner(\n\u001b[1;32m 881\u001b[0m objects,\n\u001b[1;32m 882\u001b[0m join\u001b[38;5;241m=\u001b[39mjoin,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 886\u001b[0m fill_value\u001b[38;5;241m=\u001b[39mfill_value,\n\u001b[1;32m 887\u001b[0m )\n\u001b[0;32m--> 888\u001b[0m \u001b[43maligner\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43malign\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 889\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m aligner\u001b[38;5;241m.\u001b[39mresults\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/core/alignment.py:574\u001b[0m, in \u001b[0;36mAligner.align\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 572\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfind_matching_unindexed_dims()\n\u001b[1;32m 573\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39massert_no_index_conflict()\n\u001b[0;32m--> 574\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43malign_indexes\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 575\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39massert_unindexed_dim_sizes_equal()\n\u001b[1;32m 577\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mjoin \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moverride\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/core/alignment.py:428\u001b[0m, in \u001b[0;36mAligner.align_indexes\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 421\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 422\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcannot align objects with join=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mexact\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m where \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 423\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mindex/labels/sizes are not equal along \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 424\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mthese coordinates (dimensions): \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 425\u001b[0m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdims\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m name, dims \u001b[38;5;129;01min\u001b[39;00m key[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m 426\u001b[0m )\n\u001b[1;32m 427\u001b[0m joiner \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_index_joiner(index_cls)\n\u001b[0;32m--> 428\u001b[0m joined_index \u001b[38;5;241m=\u001b[39m \u001b[43mjoiner\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmatching_indexes\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 429\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mjoin \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mleft\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 430\u001b[0m joined_index_vars \u001b[38;5;241m=\u001b[39m matching_index_vars[\u001b[38;5;241m0\u001b[39m]\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/core/indexes.py:805\u001b[0m, in \u001b[0;36mPandasIndex.join\u001b[0;34m(self, other, how)\u001b[0m\n\u001b[1;32m 799\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mjoin\u001b[39m(\n\u001b[1;32m 800\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 801\u001b[0m other: Self,\n\u001b[1;32m 802\u001b[0m how: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minner\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 803\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Self:\n\u001b[1;32m 804\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m how \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mouter\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m--> 805\u001b[0m index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43munion\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 806\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 807\u001b[0m \u001b[38;5;66;03m# how = \"inner\"\u001b[39;00m\n\u001b[1;32m 808\u001b[0m index \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mindex\u001b[38;5;241m.\u001b[39mintersection(other\u001b[38;5;241m.\u001b[39mindex)\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/pandas/core/indexes/base.py:3340\u001b[0m, in \u001b[0;36mIndex.union\u001b[0;34m(self, other, sort)\u001b[0m\n\u001b[1;32m 3338\u001b[0m left \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 3339\u001b[0m right \u001b[38;5;241m=\u001b[39m other\u001b[38;5;241m.\u001b[39mastype(dtype, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m-> 3340\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mleft\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43munion\u001b[49m\u001b[43m(\u001b[49m\u001b[43mright\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3342\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(other) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mequals(other):\n\u001b[1;32m 3343\u001b[0m \u001b[38;5;66;03m# NB: whether this (and the `if not len(self)` check below) come before\u001b[39;00m\n\u001b[1;32m 3344\u001b[0m \u001b[38;5;66;03m# or after the dtype equality check above affects the returned dtype\u001b[39;00m\n\u001b[1;32m 3345\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_reconciled_name_object(other)\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/pandas/core/indexes/base.py:3356\u001b[0m, in \u001b[0;36mIndex.union\u001b[0;34m(self, other, sort)\u001b[0m\n\u001b[1;32m 3353\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\u001b[38;5;241m.\u001b[39msort_values()\n\u001b[1;32m 3354\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n\u001b[0;32m-> 3356\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_union\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msort\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3358\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_wrap_setop_result(other, result)\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/pandas/core/indexes/base.py:3402\u001b[0m, in \u001b[0;36mIndex._union\u001b[0;34m(self, other, sort)\u001b[0m\n\u001b[1;32m 3400\u001b[0m \u001b[38;5;66;03m# worth making this faster? a very unusual case\u001b[39;00m\n\u001b[1;32m 3401\u001b[0m value_set \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(lvals)\n\u001b[0;32m-> 3402\u001b[0m value_list\u001b[38;5;241m.\u001b[39mextend([x \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m rvals \u001b[38;5;28;01mif\u001b[39;00m x \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m value_set])\n\u001b[1;32m 3403\u001b[0m \u001b[38;5;66;03m# If objects are unorderable, we must have object dtype.\u001b[39;00m\n\u001b[1;32m 3404\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray(value_list, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mobject\u001b[39m)\n", - "File \u001b[0;32m~/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/pandas/core/indexes/base.py:3402\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 3400\u001b[0m \u001b[38;5;66;03m# worth making this faster? a very unusual case\u001b[39;00m\n\u001b[1;32m 3401\u001b[0m value_set \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mset\u001b[39m(lvals)\n\u001b[0;32m-> 3402\u001b[0m value_list\u001b[38;5;241m.\u001b[39mextend([x \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m rvals \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mx\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mvalue_set\u001b[49m])\n\u001b[1;32m 3403\u001b[0m \u001b[38;5;66;03m# If objects are unorderable, we must have object dtype.\u001b[39;00m\n\u001b[1;32m 3404\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39marray(value_list, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mobject\u001b[39m)\n", - "File \u001b[0;32msrc/cftime/_cftime.pyx:1432\u001b[0m, in \u001b[0;36mcftime._cftime.datetime.__richcmp__\u001b[0;34m()\u001b[0m\n", - "\u001b[0;31mTypeError\u001b[0m: cannot compare cftime.DatetimeNoLeap(1850, 1, 16, 12, 0, 0, 0, has_year_zero=True) and Timestamp('1850-01-16 12:00:00') (different calendars)" - ] - } - ], - "source": [ - "data = xr.concat(data, dim=\"model\")" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "d14a881c-6d67-44f2-ab63-967b8306f46c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'tas' (model: 2, time: 1980, lat: 504, lon: 912)>\n",
-       "dask.array<concatenate, shape=(2, 1980, 504, 912), dtype=float32, chunksize=(1, 1, 504, 912), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1850-01-16T12:00:00 ... 2014-12-16T12:00:00\n",
-       "  * lat      (lat) float64 -89.62 -89.38 -89.12 -88.62 ... 89.12 89.38 89.62\n",
-       "  * lon      (lon) float64 0.0 0.5 0.9375 1.0 1.5 ... 358.5 359.0 359.1 359.5\n",
-       "    height   float64 2.0\n",
-       "Dimensions without coordinates: model\n",
-       "Attributes:\n",
-       "    standard_name:  air_temperature\n",
-       "    long_name:      Near-Surface Air Temperature\n",
-       "    comment:        near-surface (usually, 2 meter) air temperature\n",
-       "    units:          K\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    history:        2019-11-08T06:41:45Z altered by CMOR: Treated scalar dime...
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 1850-01-16T12:00:00 ... 2014-12-16T12:00:00\n", - " * lat (lat) float64 -89.62 -89.38 -89.12 -88.62 ... 89.12 89.38 89.62\n", - " * lon (lon) float64 0.0 0.5 0.9375 1.0 1.5 ... 358.5 359.0 359.1 359.5\n", - " height float64 2.0\n", - "Dimensions without coordinates: model\n", - "Attributes:\n", - " standard_name: air_temperature\n", - " long_name: Near-Surface Air Temperature\n", - " comment: near-surface (usually, 2 meter) air temperature\n", - " units: K\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " history: 2019-11-08T06:41:45Z altered by CMOR: Treated scalar dime..." - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "ce0ceff3-3ba2-4de1-9fbd-21d9066e7628", - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/mavj/opt/miniconda3/envs/DEVELOP/lib/python3.10/site-packages/xarray/core/groupby.py:534: FutureWarning: 'Y' is deprecated and will be removed in a future version, please use 'YE' instead.\n", - " index_grouper = pd.Grouper(\n" - ] - } - ], - "source": [ - "yearly = earthkit.aggregate.temporal.resample(data, frequency=\"Y\")" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "4a30efff-653a-418b-8798-5a38d32f2f14", - "metadata": {}, "outputs": [], "source": [ - "timeseries = earthkit.aggregate.spatial.reduce(yearly)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "987a0354-a7e5-4088-986a-91456ba4586e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'tas_mean' (time: 165)>\n",
-       "array([277.62466, 277.63702, 277.69095, 277.54517, 277.5211 , 277.39713,\n",
-       "       277.42935, 277.50037, 277.361  , 277.449  , 277.50327, 277.2966 ,\n",
-       "       277.36526, 277.19345, 277.35196, 277.31595, 277.31357, 277.48386,\n",
-       "       277.30933, 277.38406, 277.45648, 277.48517, 277.48102, 277.19003,\n",
-       "       277.54138, 277.5026 , 277.40884, 277.52185, 277.47797, 277.37387,\n",
-       "       277.35724, 277.45523, 277.44537, 277.3307 , 276.96927, 276.97018,\n",
-       "       276.9616 , 277.12796, 277.18176, 277.2093 , 277.2484 , 277.25638,\n",
-       "       277.12354, 277.2678 , 277.38016, 277.495  , 277.5017 , 277.5181 ,\n",
-       "       277.56973, 277.5479 , 277.58987, 277.43073, 277.53494, 277.23935,\n",
-       "       277.16235, 277.22232, 277.43167, 277.22787, 277.37027, 277.08813,\n",
-       "       277.4398 , 277.31375, 276.9147 , 276.94058, 276.78976, 277.04086,\n",
-       "       277.3436 , 276.89886, 277.18552, 277.21762, 277.1679 , 277.10092,\n",
-       "       277.0507 , 277.2807 , 277.3451 , 277.3822 , 277.27963, 277.57123,\n",
-       "       277.39548, 277.5064 , 277.4608 , 277.36304, 277.51254, 277.6565 ,\n",
-       "       277.83685, 277.80667, 277.79526, 277.57904, 277.57153, 277.59726,\n",
-       "       277.6138 , 277.78052, 277.7291 , 277.5563 , 277.67203, 277.82935,\n",
-       "       277.6854 , 277.532  , 277.43323, 277.5192 , 277.3686 , 277.48636,\n",
-       "       277.68393, 277.63177, 277.57938, 277.5905 , 277.54114, 277.56543,\n",
-       "       277.53406, 277.67935, 277.73972, 277.64902, 277.57135, 277.3777 ,\n",
-       "       277.3014 , 277.29416, 277.29993, 277.42993, 277.59766, 277.543  ,\n",
-       "       277.46893, 277.41455, 277.4679 , 277.62   , 277.47253, 277.51138,\n",
-       "       277.64078, 277.57446, 277.55045, 277.77682, 277.44656, 277.64197,\n",
-       "       277.71945, 277.48996, 277.54733, 277.72958, 277.89963, 277.56723,\n",
-       "       277.50092, 277.7478 , 277.7307 , 277.74478, 277.43335, 277.48532,\n",
-       "       277.70807, 277.80466, 278.0019 , 277.87332, 277.87112, 277.91458,\n",
-       "       278.15387, 278.03278, 278.0404 , 278.2107 , 278.02353, 278.10016,\n",
-       "       278.0398 , 277.98373, 278.17737, 278.02853, 278.17682, 278.37796,\n",
-       "       278.58188, 278.387  , 278.57352], dtype=float32)\n",
-       "Coordinates:\n",
-       "    height   float64 2.0\n",
-       "  * time     (time) datetime64[ns] 1850-12-31 1851-12-31 ... 2014-12-31\n",
-       "Attributes:\n",
-       "    standard_name:  air_temperature\n",
-       "    long_name:      Near-Surface Air Temperature\n",
-       "    comment:        near-surface (usually, 2 meter) air temperature\n",
-       "    units:          K\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    history:        2019-11-08T06:41:45Z altered by CMOR: Treated scalar dime...
" - ], - "text/plain": [ - "\n", - "array([277.62466, 277.63702, 277.69095, 277.54517, 277.5211 , 277.39713,\n", - " 277.42935, 277.50037, 277.361 , 277.449 , 277.50327, 277.2966 ,\n", - " 277.36526, 277.19345, 277.35196, 277.31595, 277.31357, 277.48386,\n", - " 277.30933, 277.38406, 277.45648, 277.48517, 277.48102, 277.19003,\n", - " 277.54138, 277.5026 , 277.40884, 277.52185, 277.47797, 277.37387,\n", - " 277.35724, 277.45523, 277.44537, 277.3307 , 276.96927, 276.97018,\n", - " 276.9616 , 277.12796, 277.18176, 277.2093 , 277.2484 , 277.25638,\n", - " 277.12354, 277.2678 , 277.38016, 277.495 , 277.5017 , 277.5181 ,\n", - " 277.56973, 277.5479 , 277.58987, 277.43073, 277.53494, 277.23935,\n", - " 277.16235, 277.22232, 277.43167, 277.22787, 277.37027, 277.08813,\n", - " 277.4398 , 277.31375, 276.9147 , 276.94058, 276.78976, 277.04086,\n", - " 277.3436 , 276.89886, 277.18552, 277.21762, 277.1679 , 277.10092,\n", - " 277.0507 , 277.2807 , 277.3451 , 277.3822 , 277.27963, 277.57123,\n", - " 277.39548, 277.5064 , 277.4608 , 277.36304, 277.51254, 277.6565 ,\n", - " 277.83685, 277.80667, 277.79526, 277.57904, 277.57153, 277.59726,\n", - " 277.6138 , 277.78052, 277.7291 , 277.5563 , 277.67203, 277.82935,\n", - " 277.6854 , 277.532 , 277.43323, 277.5192 , 277.3686 , 277.48636,\n", - " 277.68393, 277.63177, 277.57938, 277.5905 , 277.54114, 277.56543,\n", - " 277.53406, 277.67935, 277.73972, 277.64902, 277.57135, 277.3777 ,\n", - " 277.3014 , 277.29416, 277.29993, 277.42993, 277.59766, 277.543 ,\n", - " 277.46893, 277.41455, 277.4679 , 277.62 , 277.47253, 277.51138,\n", - " 277.64078, 277.57446, 277.55045, 277.77682, 277.44656, 277.64197,\n", - " 277.71945, 277.48996, 277.54733, 277.72958, 277.89963, 277.56723,\n", - " 277.50092, 277.7478 , 277.7307 , 277.74478, 277.43335, 277.48532,\n", - " 277.70807, 277.80466, 278.0019 , 277.87332, 277.87112, 277.91458,\n", - " 278.15387, 278.03278, 278.0404 , 278.2107 , 278.02353, 278.10016,\n", - " 278.0398 , 277.98373, 278.17737, 278.02853, 278.17682, 278.37796,\n", - " 278.58188, 278.387 , 278.57352], dtype=float32)\n", - "Coordinates:\n", - " height float64 2.0\n", - " * time (time) datetime64[ns] 1850-12-31 1851-12-31 ... 2014-12-31\n", - "Attributes:\n", - " standard_name: air_temperature\n", - " long_name: Near-Surface Air Temperature\n", - " comment: near-surface (usually, 2 meter) air temperature\n", - " units: K\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " history: 2019-11-08T06:41:45Z altered by CMOR: Treated scalar dime..." - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "timeseries.max(dim=\"model\")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "16309d4b-89b5-447a-bcba-d372e062a924", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "figure = earthkit.plots.Figure(size=(10, 4))\n", - "subplot = figure.add_subplot()\n", - "subplot.envelope(timeseries.max(dim=\"model\").values, timeseries.min(dim=\"model\").values, x=timeseries.time.values)\n", - "subplot.line(y=timeseries.mean(dim=\"model\").values, x=timeseries.time.values)\n", - "figure.show()" + "timeseries = {}\n", + "\n", + "for experiment in EXPERIMENTS:\n", + " data[experiment] = [earthkit.aggregate.temporal.standardise_time(d) for d in data[experiment]]\n", + " data[experiment] = xr.concat(data[experiment], dim=\"model\")\n", + " yearly = earthkit.aggregate.temporal.resample(data[experiment], frequency=\"YE\")\n", + " timeseries[experiment] = earthkit.aggregate.spatial.reduce(yearly)" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "id": "bda2e31f-6c9b-4d41-be32-acb63701fb95", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1396,51 +116,14 @@ "source": [ "figure = earthkit.plots.Figure(size=(10, 4))\n", "subplot = figure.add_subplot()\n", - "subplot.quantiles(timeseries, quantiles=[0, 0.5, 1])\n", + "for experiment, color in zip(timeseries, [\"grey\", \"#EB702D\", \"green\", \"#545FA4\"]):\n", + " subplot.quantiles(timeseries[experiment], quantiles=[0.1, 0.5, 0.9], alpha=0.15, color=color, x=timeseries[experiment].isel(model=0).time)\n", + "figure.title(\"CMIP6 annual global average temperature (1850 - 2100)\")\n", + "\n", + "subplot.ax.legend()\n", + "\n", "figure.show()" ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "dc881658-8a7f-439c-ae3f-10c93ceba859", - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "aa8d517e-279f-4425-8a6e-40b2dbaea80f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0. , 0.05263158, 0.10526316, 0.15789474, 0.21052632,\n", - " 0.26315789, 0.31578947, 0.36842105, 0.42105263, 0.47368421,\n", - " 0.52631579, 0.57894737, 0.63157895, 0.68421053, 0.73684211,\n", - " 0.78947368, 0.84210526, 0.89473684, 0.94736842, 1. ])" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.linspace(0, 1, 20)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "efd87592-c0ea-45a3-90d5-056261dd2c4e", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/src/earthkit/plots/__init__.py b/src/earthkit/plots/__init__.py index 74a970f..63ae117 100644 --- a/src/earthkit/plots/__init__.py +++ b/src/earthkit/plots/__init__.py @@ -19,8 +19,6 @@ from earthkit.plots import styles from earthkit.plots.components.figures import Figure - -# from earthkit.plots.components.globes import globe from earthkit.plots.components.maps import Map from earthkit.plots.components.subplots import Subplot from earthkit.plots.definitions import FONTS_DIR @@ -39,7 +37,6 @@ "Figure", "Subplot", "Map", - # "globe", "schema", "styles", ] diff --git a/src/earthkit/plots/components/globes.py b/src/earthkit/plots/components/globes.py index 5948d22..f0d8b25 100644 --- a/src/earthkit/plots/components/globes.py +++ b/src/earthkit/plots/components/globes.py @@ -95,11 +95,14 @@ def globe( figure = Figure(left=0, right=1, bottom=0, top=1, size=(figsize, figsize)) - crs = data.projection().to_cartopy_crs() + try: + crs = data.projection().to_cartopy_crs() + except AttributeError: + crs = ccrs.PlateCarree() if crs.__class__.__name__ != "PlateCarree": crs = ccrs.PlateCarree() - subplot = figure.add_map(crs=crs) + subplot = figure.add_map(crs=crs, domain=[-180, 180, -90, 90]) getattr(subplot, how)(data, style=style, transform_first=True) extent = subplot.ax.get_extent() if extent != (-180.0, 180.0, -90.0, 90.0): diff --git a/src/earthkit/plots/components/subplots.py b/src/earthkit/plots/components/subplots.py index f1fe445..20c1581 100644 --- a/src/earthkit/plots/components/subplots.py +++ b/src/earthkit/plots/components/subplots.py @@ -514,9 +514,11 @@ def envelope(self, data_1, data_2=0, alpha=0.4, **kwargs): return mappable @schema.envelope.apply() - def quantiles(self, data, quantiles=[0, 1], dim=None, alpha=0.4, **kwargs): + def quantiles(self, data, quantiles=[0, 1], dim=None, alpha=0.15, **kwargs): prop_cycle = plt.rcParams["axes.prop_cycle"] - facecolor = kwargs.pop("facecolor", next(cycle(prop_cycle.by_key()["color"]))) + facecolor = kwargs.pop( + "facecolor", kwargs.get("color", next(cycle(prop_cycle.by_key()["color"]))) + ) color = kwargs.pop("color", next(cycle(prop_cycle.by_key()["color"]))) if isinstance(data, earthkit.data.core.Base): data = data.to_xarray() @@ -541,6 +543,7 @@ def quantiles(self, data, quantiles=[0, 1], dim=None, alpha=0.4, **kwargs): ) else: x, y, _ = self._extract_plottables_2(y=lines, **kwargs) + kwargs.pop("label", None) mappable = self.ax.plot( x, y, color=color, **{k: v for k, v in kwargs.items() if k != "x"} ) diff --git a/src/earthkit/plots/geo/healpix.py b/src/earthkit/plots/geo/healpix.py index 6cf636e..93f2c68 100644 --- a/src/earthkit/plots/geo/healpix.py +++ b/src/earthkit/plots/geo/healpix.py @@ -11,6 +11,7 @@ def nnshow(var, nx=1000, ny=1000, ax=None, nest=False, style=None, **kwargs): ax: axis to plot on kwargs: additional arguments to imshow """ + kwargs.pop("transform_first", None) xlims = ax.get_xlim() ylims = ax.get_ylim() # NOTE: we want the center coordinate of each pixel, thus we have to