From d8501fa288cb2a8ed278a4cadacd912bed048d29 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 09:02:58 -0400
Subject: [PATCH 01/14] new docs

---
 .github/workflows/ci.yml                    |   6 +-
 docs/notebooks/plot1.png                    | Bin 33607 -> 0 bytes
 docs/notebooks/plot2.png                    | Bin 41124 -> 0 bytes
 docs/notebooks/plot3.png                    | Bin 29262 -> 0 bytes
 docs/notebooks/vn-ask.md                    | 381 -------------
 docs/notebooks/vn-ask_files/vn-ask_10_2.png | Bin 125336 -> 0 bytes
 docs/notebooks/vn-ask_files/vn-ask_11_2.png | Bin 78743 -> 0 bytes
 docs/notebooks/vn-ask_files/vn-ask_12_2.png | Bin 142409 -> 0 bytes
 docs/notebooks/vn-train.md                  | 269 ---------
 docs/sidebar.py                             |  62 +++
 docs/sidebar.yaml                           |  67 +++
 docs/stylesheets/extra.css                  |  33 --
 docs/vn-ask.ipynb                           | 572 ++++++++++++++++++++
 mkdocs.yml                                  |  40 --
 14 files changed, 704 insertions(+), 726 deletions(-)
 delete mode 100644 docs/notebooks/plot1.png
 delete mode 100644 docs/notebooks/plot2.png
 delete mode 100644 docs/notebooks/plot3.png
 delete mode 100644 docs/notebooks/vn-ask.md
 delete mode 100644 docs/notebooks/vn-ask_files/vn-ask_10_2.png
 delete mode 100644 docs/notebooks/vn-ask_files/vn-ask_11_2.png
 delete mode 100644 docs/notebooks/vn-ask_files/vn-ask_12_2.png
 delete mode 100644 docs/notebooks/vn-train.md
 create mode 100644 docs/sidebar.py
 create mode 100644 docs/sidebar.yaml
 delete mode 100644 docs/stylesheets/extra.css
 create mode 100644 docs/vn-ask.ipynb
 delete mode 100644 mkdocs.yml

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 83d8c569..ac2e4136 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -2,8 +2,8 @@ name: ci
 on:
   push:
     branches:
-      - master 
       - main
+      - update-docs-2
 permissions:
   contents: write
 jobs:
@@ -17,10 +17,10 @@ jobs:
       - run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV 
       - uses: actions/cache@v3
         with:
-          key: mkdocs-material-${{ env.cache_id }}
+          key: vanna-docs-${{ env.cache_id }}
           path: .cache
           restore-keys: |
-            mkdocs-material-
+            vanna-docs-
       - run: pip install mkdocs-material 
       - run: pip install mkdocstrings[python]
       - run: pip install .
diff --git a/docs/notebooks/plot1.png b/docs/notebooks/plot1.png
deleted file mode 100644
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diff --git a/docs/notebooks/vn-ask.md b/docs/notebooks/vn-ask.md
deleted file mode 100644
index f6f4bd90..00000000
--- a/docs/notebooks/vn-ask.md
+++ /dev/null
@@ -1,381 +0,0 @@
-![Vanna AI](https://img.vanna.ai/vanna-ask.svg)
-
-The following notebook goes through the process of asking questions from your data using Vanna AI. Here we use a demo model that is pre-trained on the [TPC-H dataset](https://docs.snowflake.com/en/user-guide/sample-data-tpch.html) that is available in Snowflake.
-
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-ask.ipynb)
-
-[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-ask.ipynb)
-
-# Install Vanna
-First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it.
-Here, we'll also install the Snowflake connector. If you're using a different database, you'll need to install the appropriate connector.
-
-
-```python
-%pip install vanna
-%pip install snowflake-connector-python
-```
-
-
-```python
-import vanna as vn
-import snowflake.connector
-```
-
-# Login
-Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code.
-
-
-```python
-api_key = vn.get_api_key('my-email@example.com')
-vn.set_api_key(api_key)
-```
-
-# Set your Model
-You need to choose a globally unique model name. Try using your company name or another unique string. All data from models are isolated - there's no leakage.
-
-
-```python
-vn.set_model('tpc') # Enter your model name here. This is a globally unique identifier for your model.
-```
-
-# Set Database Connection
-These details are only referenced within your notebook. These database credentials are never sent to Vanna's severs.
-
-
-```python
-vn.connect_to_snowflake(account='my-account', username='my-username', password='my-password', database='my-database')
-```
-
-# Get Results
-This gets the SQL, gets the dataframe, and prints them both. Note that we use your connection string to execute the SQL on your warehouse from your local instance. Your connection nor your data gets sent to Vanna's servers. For more info on how Vanna works, [see this post](https://medium.com/vanna-ai/how-vanna-works-how-to-train-it-data-security-8d8f2008042).
-
-
-```python
-vn.ask("What are the top 10 customers by sales?")
-```
-
-    SELECT c.c_name as customer_name,
-           sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales
-    FROM   snowflake_sample_data.tpch_sf1.lineitem l join snowflake_sample_data.tpch_sf1.orders o
-            ON l.l_orderkey = o.o_orderkey join snowflake_sample_data.tpch_sf1.customer c
-            ON o.o_custkey = c.c_custkey
-    GROUP BY customer_name
-    ORDER BY total_sales desc limit 10;
-
-
-
-<div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
-    .dataframe thead th {
-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>CUSTOMER_NAME</th>
-      <th>TOTAL_SALES</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>Customer#000143500</td>
-      <td>6757566.0218</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>Customer#000095257</td>
-      <td>6294115.3340</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>Customer#000087115</td>
-      <td>6184649.5176</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>Customer#000131113</td>
-      <td>6080943.8305</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>Customer#000134380</td>
-      <td>6075141.9635</td>
-    </tr>
-    <tr>
-      <th>5</th>
-      <td>Customer#000103834</td>
-      <td>6059770.3232</td>
-    </tr>
-    <tr>
-      <th>6</th>
-      <td>Customer#000069682</td>
-      <td>6057779.0348</td>
-    </tr>
-    <tr>
-      <th>7</th>
-      <td>Customer#000102022</td>
-      <td>6039653.6335</td>
-    </tr>
-    <tr>
-      <th>8</th>
-      <td>Customer#000098587</td>
-      <td>6027021.5855</td>
-    </tr>
-    <tr>
-      <th>9</th>
-      <td>Customer#000064660</td>
-      <td>5905659.6159</td>
-    </tr>
-  </tbody>
-</table>
-</div>
-
-
-
-    
-![png](vn-ask_files/vn-ask_10_2.png)
-    
-
-
-
-AI-generated follow-up questions:
-
-* What is the country name for each of the top 10 customers by sales?
-* How many orders does each of the top 10 customers by sales have?
-* What is the total revenue for each of the top 10 customers by sales?
-* What are the customer names and total sales for customers in the United States?
-* Which customers in Africa have returned the most parts with a gross value?
-* What are the total sales for the top 3 customers?
-* What are the customer names and total sales for the top 5 customers?
-* What are the total sales for customers in Europe?
-* How many customers are there in each country?
-
-
-
-
-```python
-vn.ask("Which 5 countries have the highest sales?")
-```
-
-    SELECT n.n_name as country_name,
-           sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales
-    FROM   snowflake_sample_data.tpch_sf1.nation n join snowflake_sample_data.tpch_sf1.customer c
-            ON n.n_nationkey = c.c_nationkey join snowflake_sample_data.tpch_sf1.orders o
-            ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l
-            ON o.o_orderkey = l.l_orderkey
-    GROUP BY country_name
-    ORDER BY total_sales desc limit 5;
-
-
-
-<div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
-    .dataframe thead th {
-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>COUNTRY_NAME</th>
-      <th>TOTAL_SALES</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>FRANCE</td>
-      <td>8960205391.8314</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>INDONESIA</td>
-      <td>8942575217.6237</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>RUSSIA</td>
-      <td>8925318302.0710</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>MOZAMBIQUE</td>
-      <td>8892984086.0088</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>JORDAN</td>
-      <td>8873862546.7864</td>
-    </tr>
-  </tbody>
-</table>
-</div>
-
-
-
-    
-![png](vn-ask_files/vn-ask_11_2.png)
-    
-
-
-
-AI-generated follow-up questions:
-
-* What are the total sales for each country in descending order?
-* Which country has the highest number of customers?
-* What are the total sales for each customer in descending order?
-* Which customers in the United States have the highest total sales?
-* What are the total sales and number of orders for each customer in each country?
-* What are the total sales for customers in Europe?
-* What are the top 10 countries with the highest total order amount?
-* Which country has the highest number of failed orders?
-* Which customers have the highest total sales?
-* 
-
-
-
-
-```python
-vn.ask("Who are the top 2 biggest customers in each region?")
-```
-
-    with ranked_customers as (SELECT c.c_name as customer_name,
-                                     r.r_name as region_name,
-                                     row_number() OVER (PARTITION BY r.r_name
-                                                        ORDER BY sum(l.l_quantity * l.l_extendedprice) desc) as rank
-                              FROM   snowflake_sample_data.tpch_sf1.customer c join snowflake_sample_data.tpch_sf1.orders o
-                                      ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l
-                                      ON o.o_orderkey = l.l_orderkey join snowflake_sample_data.tpch_sf1.nation n
-                                      ON c.c_nationkey = n.n_nationkey join snowflake_sample_data.tpch_sf1.region r
-                                      ON n.n_regionkey = r.r_regionkey
-                              GROUP BY customer_name, region_name)
-    SELECT region_name,
-           customer_name
-    FROM   ranked_customers
-    WHERE  rank <= 2;
-
-
-
-<div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
-    .dataframe thead th {
-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>REGION_NAME</th>
-      <th>CUSTOMER_NAME</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>ASIA</td>
-      <td>Customer#000102022</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>ASIA</td>
-      <td>Customer#000148750</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>AMERICA</td>
-      <td>Customer#000095257</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>AMERICA</td>
-      <td>Customer#000091630</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>EUROPE</td>
-      <td>Customer#000028180</td>
-    </tr>
-    <tr>
-      <th>5</th>
-      <td>EUROPE</td>
-      <td>Customer#000053809</td>
-    </tr>
-    <tr>
-      <th>6</th>
-      <td>MIDDLE EAST</td>
-      <td>Customer#000143500</td>
-    </tr>
-    <tr>
-      <th>7</th>
-      <td>MIDDLE EAST</td>
-      <td>Customer#000103834</td>
-    </tr>
-    <tr>
-      <th>8</th>
-      <td>AFRICA</td>
-      <td>Customer#000131113</td>
-    </tr>
-    <tr>
-      <th>9</th>
-      <td>AFRICA</td>
-      <td>Customer#000134380</td>
-    </tr>
-  </tbody>
-</table>
-</div>
-
-
-
-    
-![png](vn-ask_files/vn-ask_12_2.png)
-    
-
-
-
-AI-generated follow-up questions:
-
-* - What are the total sales for each customer in the Asia region?
-* - How many orders does each customer in the Americas region have?
-* - Who are the top 5 customers with the highest total sales?
-* - What is the total revenue for each customer in the Europe region?
-* - Can you provide a breakdown of the number of customers in each country?
-* - Which customers in the United States have the highest total sales?
-* - What are the total sales for each customer in the Asia region?
-* - What are the top 10 customers with the highest returned parts gross value in Africa?
-* - What are the top 3 customers with the highest total sales overall?
-* - Can you provide a list of the first 10 customers in the database?
-
-
-
-# Run as a Web App
-If you would like to use this functionality in a web app, you can deploy the Vanna Streamlit app and use your own secrets. See [this repo](https://github.com/vanna-ai/vanna-streamlit).
diff --git a/docs/notebooks/vn-ask_files/vn-ask_10_2.png b/docs/notebooks/vn-ask_files/vn-ask_10_2.png
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diff --git a/docs/notebooks/vn-train.md b/docs/notebooks/vn-train.md
deleted file mode 100644
index 2cbb44f7..00000000
--- a/docs/notebooks/vn-train.md
+++ /dev/null
@@ -1,269 +0,0 @@
-![Vanna AI](https://img.vanna.ai/vanna-train.svg)
-
-The following notebook goes through the process of training Vanna. 
-
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-train.ipynb)
-
-[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-ask.ipynb)
-
-# Install Vanna
-First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it.
-Here, we'll also install the Snowflake connector. If you're using a different database, you'll need to install the appropriate connector.
-
-
-```python
-%pip install vanna
-%pip install snowflake-connector-python
-```
-
-
-```python
-import vanna as vn
-import snowflake.connector
-```
-
-# Login
-Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code.
-
-
-```python
-api_key = vn.get_api_key('my-email@example.com')
-vn.set_api_key(api_key)
-```
-
-# Set your Model
-You need to choose a globally unique model name. Try using your company name or another unique string. All data from models are isolated - there's no leakage.
-
-
-```python
-vn.set_model('my-model') # Enter your model name here. This is a globally unique identifier for your model.
-```
-
-# Automatic Training
-If you'd like to use automatic training, the Vanna package can crawl your database to fetch metadata to train your model. You can put in your Snowflake credentials here. These details are only referenced within your notebook. These database credentials are never sent to Vanna's severs.
-
-
-```python
-vn.connect_to_snowflake(account='my-account', username='my-username', password='my-password', database='my-database')
-```
-
-
-```python
-training_plan = vn.get_training_plan_experimental(filter_databases=['SNOWFLAKE_SAMPLE_DATA'], filter_schemas=['TPCH_SF1'])
-training_plan
-```
-
-    Trying query history
-    Trying INFORMATION_SCHEMA.COLUMNS for SNOWFLAKE_SAMPLE_DATA
-
-
-
-
-
-    Train on SQL:  What are the top 10 customers ranked by total sales?
-    Train on SQL:  What are the top 10 customers in terms of total sales?
-    Train on SQL:  What are the top two customers with the highest total sales for each region?
-    Train on SQL:  What are the top 5 customers with the highest total sales?
-    Train on SQL:  What is the total quantity of each product sold in each region, ordered by region name and total quantity in descending order?
-    Train on SQL:  What is the number of orders for each week, starting from the most recent week?
-    Train on SQL:  What countries are in the region 'EUROPE'?
-    Train on Information Schema: SNOWFLAKE_SAMPLE_DATA.TPCH_SF1 SUPPLIER
-    Train on Information Schema: SNOWFLAKE_SAMPLE_DATA.TPCH_SF1 LINEITEM
-    Train on Information Schema: SNOWFLAKE_SAMPLE_DATA.TPCH_SF1 CUSTOMER
-    Train on Information Schema: SNOWFLAKE_SAMPLE_DATA.TPCH_SF1 PARTSUPP
-    Train on Information Schema: SNOWFLAKE_SAMPLE_DATA.TPCH_SF1 PART
-    Train on Information Schema: SNOWFLAKE_SAMPLE_DATA.TPCH_SF1 ORDERS
-    Train on Information Schema: SNOWFLAKE_SAMPLE_DATA.TPCH_SF1 REGION
-    Train on Information Schema: SNOWFLAKE_SAMPLE_DATA.TPCH_SF1 NATION
-
-
-
-
-```python
-vn.train(plan=training_plan)
-```
-
-# Train with DDL Statements
-If you prefer to manually train, you do not need to connect to a database. You can use the train function with other parmaeters like ddl
-
-
-```python
-vn.train(ddl="""
-    CREATE TABLE IF NOT EXISTS my-table (
-        id INT PRIMARY KEY,
-        name VARCHAR(100),
-        age INT
-    )
-""")
-```
-
-# Train with Documentation
-Sometimes you may want to add documentation about your business terminology or definitions.
-
-
-```python
-vn.train(documentation="Our business defines OTIF score as the percentage of orders that are delivered on time and in full")
-```
-
-# Train with SQL
-You can also add SQL queries to your training data. This is useful if you have some queries already laying around. You can just copy and paste those from your editor to begin generating new SQL.
-
-
-```python
-vn.train(sql="SELECT * FROM my-table WHERE name = 'John Doe'")
-```
-
-# View Training Data
-At any time you can see what training data is in your model
-
-
-```python
-vn.get_training_data()
-```
-
-
-
-
-<div>
-<style scoped>
-    .dataframe tbody tr th:only-of-type {
-        vertical-align: middle;
-    }
-
-    .dataframe tbody tr th {
-        vertical-align: top;
-    }
-
-    .dataframe thead th {
-        text-align: right;
-    }
-</style>
-<table border="1" class="dataframe">
-  <thead>
-    <tr style="text-align: right;">
-      <th></th>
-      <th>id</th>
-      <th>training_data_type</th>
-      <th>question</th>
-      <th>content</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <th>0</th>
-      <td>15-doc</td>
-      <td>documentation</td>
-      <td>None</td>
-      <td>This is a table in the PARTSUPP table.\n\nThe ...</td>
-    </tr>
-    <tr>
-      <th>1</th>
-      <td>11-doc</td>
-      <td>documentation</td>
-      <td>None</td>
-      <td>This is a table in the CUSTOMER table.\n\nThe ...</td>
-    </tr>
-    <tr>
-      <th>2</th>
-      <td>14-doc</td>
-      <td>documentation</td>
-      <td>None</td>
-      <td>This is a table in the ORDERS table.\n\nThe fo...</td>
-    </tr>
-    <tr>
-      <th>3</th>
-      <td>1244-sql</td>
-      <td>sql</td>
-      <td>What are the names of the top 10 customers?</td>
-      <td>SELECT c.c_name as customer_name\nFROM   snowf...</td>
-    </tr>
-    <tr>
-      <th>4</th>
-      <td>1242-sql</td>
-      <td>sql</td>
-      <td>What are the top 5 customers in terms of total...</td>
-      <td>SELECT c.c_name AS customer_name, SUM(l.l_quan...</td>
-    </tr>
-    <tr>
-      <th>5</th>
-      <td>17-doc</td>
-      <td>documentation</td>
-      <td>None</td>
-      <td>This is a table in the REGION table.\n\nThe fo...</td>
-    </tr>
-    <tr>
-      <th>6</th>
-      <td>16-doc</td>
-      <td>documentation</td>
-      <td>None</td>
-      <td>This is a table in the PART table.\n\nThe foll...</td>
-    </tr>
-    <tr>
-      <th>7</th>
-      <td>1243-sql</td>
-      <td>sql</td>
-      <td>What are the top 10 customers with the highest...</td>
-      <td>SELECT c.c_name as customer_name,\n       sum(...</td>
-    </tr>
-    <tr>
-      <th>8</th>
-      <td>1239-sql</td>
-      <td>sql</td>
-      <td>What are the top 100 customers based on their ...</td>
-      <td>SELECT c.c_name as customer_name,\n       sum(...</td>
-    </tr>
-    <tr>
-      <th>9</th>
-      <td>13-doc</td>
-      <td>documentation</td>
-      <td>None</td>
-      <td>This is a table in the SUPPLIER table.\n\nThe ...</td>
-    </tr>
-    <tr>
-      <th>10</th>
-      <td>1241-sql</td>
-      <td>sql</td>
-      <td>What are the top 10 customers in terms of tota...</td>
-      <td>SELECT c.c_name as customer_name,\n       sum(...</td>
-    </tr>
-    <tr>
-      <th>11</th>
-      <td>12-doc</td>
-      <td>documentation</td>
-      <td>None</td>
-      <td>This is a table in the LINEITEM table.\n\nThe ...</td>
-    </tr>
-    <tr>
-      <th>12</th>
-      <td>18-doc</td>
-      <td>documentation</td>
-      <td>None</td>
-      <td>This is a table in the NATION table.\n\nThe fo...</td>
-    </tr>
-    <tr>
-      <th>13</th>
-      <td>1248-sql</td>
-      <td>sql</td>
-      <td>How many customers are in each country?</td>
-      <td>SELECT n.n_name as country,\n       count(*) a...</td>
-    </tr>
-    <tr>
-      <th>14</th>
-      <td>1240-sql</td>
-      <td>sql</td>
-      <td>What is the number of orders placed each week?</td>
-      <td>SELECT date_trunc('week', o_orderdate) as week...</td>
-    </tr>
-  </tbody>
-</table>
-</div>
-
-
-
-# Removing Training Data
-If you added some training data by mistake, you can remove it. Model performance is directly linked to the quality of the training data.
-
-
-```python
-vn.remove_training_data(id='my-training-data-id')
-```
diff --git a/docs/sidebar.py b/docs/sidebar.py
new file mode 100644
index 00000000..ed6782cc
--- /dev/null
+++ b/docs/sidebar.py
@@ -0,0 +1,62 @@
+import yaml
+
+def generate_html(sidebar_data, current_path: str):
+    html = '<ul class="space-y-2">\n'
+    for entry in sidebar_data:
+        html += '<li>\n'
+        if 'sub_entries' in entry:
+            # Dropdown menu with sub-entries
+            html += f'<button type="button" class="flex items-center p-2 w-full text-base font-normal text-gray-900 rounded-lg transition duration-75 group hover:bg-gray-100 dark:text-white dark:hover:bg-gray-700" aria-controls="dropdown-{entry["title"]}" data-collapse-toggle="dropdown-{entry["title"]}">\n'
+            html += f'{entry["svg_text"]}\n'
+            html += f'<span class="flex-1 ml-3 text-left whitespace-nowrap">{entry["title"]}</span>\n'
+            html += '<svg aria-hidden="true" class="w-6 h-6" fill="currentColor" viewBox="0 0 20 20" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" d="M5.293 7.293a1 1 0 011.414 0L10 10.586l3.293-3.293a1 1 0 111.414 1.414l-4 4a1 1 0 01-1.414 0l-4-4a1 1 0 010-1.414z" clip-rule="evenodd"></path></svg>\n'
+            html += '</button>\n'
+            html += f'<ul id="dropdown-{entry["title"]}" class="hidden py-2 space-y-2">\n'
+            for sub_entry in entry['sub_entries']:
+                html += f'<li>\n'
+                highlighted = 'bg-indigo-100 dark:bg-indigo-700' if sub_entry['link'] == current_path else ''
+                html += f'<a href="{sub_entry["link"]}" class="flex items-center p-2 pl-11 w-full text-base font-normal text-gray-900 rounded-lg transition duration-75 group hover:bg-gray-100 dark:text-white dark:hover:bg-gray-700 {highlighted}">{sub_entry["title"]}</a>\n'
+                html += '</li>\n'
+            html += '</ul>\n'
+        else:
+            # Regular sidebar entry without sub-entries
+            highlighted = 'bg-indigo-100 dark:bg-indigo-700' if entry['link'] == current_path else ''
+            html += f'<a href="{entry["link"]}" class="flex items-center p-2 text-base font-normal text-gray-900 rounded-lg dark:text-white hover:bg-gray-100 dark:hover:bg-gray-700 group {highlighted}">\n'
+            html += f'{entry["svg_text"]}\n'
+            html += f'<span class="ml-3">{entry["title"]}</span>\n'
+            html += '</a>\n'
+        html += '</li>\n'
+    html += '</ul>'
+    return html
+
+# Read YAML data from a file
+def read_yaml_file(file_path):
+    with open(file_path, 'r') as file:
+        yaml_data = file.read()
+    return yaml_data
+
+file_path = 'sidebar.yaml'  # Replace this with the actual path to your YAML file
+
+yaml_data = read_yaml_file(file_path)
+
+# Parse YAML data
+sidebar_data = yaml.safe_load(yaml_data)
+
+# Generate HTML code
+html_code = generate_html(sidebar_data, 'vn-ask.html')
+print(html_code)
+
+import nbformat
+
+# Read notebook file
+current_notebook = nbformat.read('vn-ask.ipynb', as_version=4)
+
+from nbconvert import HTMLExporter
+html_exporter = HTMLExporter(template_name='blog')
+
+(body, resources) = html_exporter.from_notebook_node(current_notebook)
+
+# Write body to file
+with open('vn-ask.html', 'w') as file:
+    file.write(body.replace('<!-- NAV HERE -->', html_code))
+
diff --git a/docs/sidebar.yaml b/docs/sidebar.yaml
new file mode 100644
index 00000000..9cbbcf84
--- /dev/null
+++ b/docs/sidebar.yaml
@@ -0,0 +1,67 @@
+- title: How It Works
+  link: /how
+  svg_text: |-
+    <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" width="14" height="20" fill="none" viewBox="0 0 14 20">
+    <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 7a3 3 0 0 1 3-3M5 19h4m0-3c0-4.1 4-4.9 4-9A6 6 0 1 0 1 7c0 4 4 5 4 9h4Z"/>
+    </svg>
+
+- title: Ask Vanna
+  link: vn-ask.html
+  svg_text: |-
+    <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 20 18">
+    <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 5h9M5 9h5m8-8H2a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h4l3.5 4 3.5-4h5a1 1 0 0 0 1-1V2a1 1 0 0 0-1-1Z"/>
+    </svg>
+
+- title: Train Vanna
+  svg_text: |-
+    <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 22 20">
+    <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M11 16.5A2.493 2.493 0 0 1 6.51 18H6.5a2.468 2.468 0 0 1-2.4-3.154 2.98 2.98 0 0 1-.85-5.274 2.468 2.468 0 0 1 .921-3.182 2.477 2.477 0 0 1 1.875-3.344 2.5 2.5 0 0 1 3.41-1.856A2.5 2.5 0 0 1 11 3.5m0 13v-13m0 13a2.492 2.492 0 0 0 4.49 1.5h.01a2.467 2.467 0 0 0 2.403-3.154 2.98 2.98 0 0 0 .847-5.274 2.468 2.468 0 0 0-.921-3.182 2.479 2.479 0 0 0-1.875-3.344A2.5 2.5 0 0 0 13.5 1 2.5 2.5 0 0 0 11 3.5m-8 5a2.5 2.5 0 0 1 3.48-2.3m-.28 8.551a3 3 0 0 1-2.953-5.185M19 8.5a2.5 2.5 0 0 0-3.481-2.3m.28 8.551a3 3 0 0 0 2.954-5.185"/>
+    </svg>
+  sub_entries:
+    - title: Train 1
+      link: /services/train-1
+      svg_text: |-
+        <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
+        <path d="m19.707 9.293-2-2-7-7a1 1 0 0 0-1.414 0l-7 7-2 2a1 1 0 0 0 1.414 1.414L2 10.414V18a2 2 0 0 0 2 2h3a1 1 0 0 0 1-1v-4a1 1 0 0 1 1-1h2a1 1 0 0 1 1 1v4a1 1 0 0 0 1 1h3a2 2 0 0 0 2-2v-7.586l.293.293a1 1 0 0 0 1.414-1.414Z"/>
+        </svg>
+
+    - title: Train 2
+      link: /services/train-2
+      svg_text: |-
+        <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
+        <path d="m19.707 9.293-2-2-7-7a1 1 0 0 0-1.414 0l-7 7-2 2a1 1 0 0 0 1.414 1.414L2 10.414V18a2 2 0 0 0 2 2h3a1 1 0 0 0 1-1v-4a1 1 0 0 1 1-1h2a1 1 0 0 1 1 1v4a1 1 0 0 0 1 1h3a2 2 0 0 0 2-2v-7.586l.293.293a1 1 0 0 0 1.414-1.414Z"/>
+        </svg>
+
+- title: User Interfaces
+  svg_text: |-
+    <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" width="20" height="18" fill="none" viewBox="0 0 20 18">
+      <path stroke="currentColor" stroke-linecap="round" stroke-width="2" d="M1 7h18M4 4h.01M7 4h.01M10 4h.01M3 17h14a2 2 0 0 0 2-2V3a2 2 0 0 0-2-2H3a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2Z"/>
+    </svg>
+  sub_entries:
+    - title: Streamlit
+      link: streamlit.html
+      svg_text: |-
+        <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
+        <path d="m19.707 9.293-2-2-7-7a1 1 0 0 0-1.414 0l-7 7-2 2a1 1 0 0 0 1.414 1.414L2 10.414V18a2 2 0 0 0 2 2h3a1 1 0 0 0 1-1v-4a1 1 0 0 1 1-1h2a1 1 0 0 1 1 1v4a1 1 0 0 0 1 1h3a2 2 0 0 0 2-2v-7.586l.293.293a1 1 0 0 0 1.414-1.414Z"/>
+        </svg>
+
+    - title: Slack
+      link: slack.html
+      svg_text: |-
+        <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
+        <path d="m19.707 9.293-2-2-7-7a1 1 0 0 0-1.414 0l-7 7-2 2a1 1 0 0 0 1.414 1.414L2 10.414V18a2 2 0 0 0 2 2h3a1 1 0 0 0 1-1v-4a1 1 0 0 1 1-1h2a1 1 0 0 1 1 1v4a1 1 0 0 0 1 1h3a2 2 0 0 0 2-2v-7.586l.293.293a1 1 0 0 0 1.414-1.414Z"/>
+        </svg>
+
+- title: Databases
+  link: databases.html
+  svg_text: |-
+    <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 18 20">
+    <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M17 4c0 1.657-3.582 3-8 3S1 5.657 1 4m16 0c0-1.657-3.582-3-8-3S1 2.343 1 4m16 0v6M1 4v6m0 0c0 1.657 3.582 3 8 3s8-1.343 8-3M1 10v6c0 1.657 3.582 3 8 3s8-1.343 8-3v-6"/>
+    </svg>
+
+- title: API Reference
+  link: reference.html
+  svg_text: |-
+    <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 20 16">
+    <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 4 1 8l4 4m10-8 4 4-4 4M11 1 9 15"/>
+    </svg>
diff --git a/docs/stylesheets/extra.css b/docs/stylesheets/extra.css
deleted file mode 100644
index c8268444..00000000
--- a/docs/stylesheets/extra.css
+++ /dev/null
@@ -1,33 +0,0 @@
-@import url('https://fonts.googleapis.com/css2?family=Roboto+Slab:wght@350&display=swap');
-
-[data-md-color-scheme="vanna"] {
-    --md-primary-fg-color:        #009efd;
-    --md-primary-fg-color--light: #009efd;
-    --md-primary-fg-color--dark:  #009efd;
-    --md-accent-fg-color:         #009efd;
-    /* --md-hue: 210;  */
-}
-  
-strong {
-    font-family: 'Roboto Slab', serif;
-    color: transparent !important;
-    background: linear-gradient(15deg, #009efd, #2af598);
-    background-clip: text;
-    -webkit-background-clip: text;
-  }
-marp-pre {
-    font-family: 'Fira Code Light', monospace;
-    font-size: 0.75em;
-    background: #000;
-    border-radius: 30px;
-}
-
-/* .md-nav__link {
-    font-size: 0.9rem;
-} */
-
-h2.doc-heading {
-    border-top: 1px solid rgb(217, 217, 217);
-    padding-top: 1rem;
-    text-align: center;
-}
\ No newline at end of file
diff --git a/docs/vn-ask.ipynb b/docs/vn-ask.ipynb
new file mode 100644
index 00000000..618aa3b6
--- /dev/null
+++ b/docs/vn-ask.ipynb
@@ -0,0 +1,572 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![Vanna AI](https://img.vanna.ai/vanna-ask.svg)\n",
+    "\n",
+    "The following notebook goes through the process of asking questions from your data using Vanna AI. Here we use a demo model that is pre-trained on the [TPC-H dataset](https://docs.snowflake.com/en/user-guide/sample-data-tpch.html) that is available in Snowflake.\n",
+    "\n",
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-ask.ipynb)\n",
+    "\n",
+    "[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-ask.ipynb)\n",
+    "\n",
+    "# Install Vanna\n",
+    "First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it.\n",
+    "Here, we'll also install the Snowflake connector. If you're using a different database, you'll need to install the appropriate connector."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install vanna\n",
+    "%pip install snowflake-connector-python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import vanna as vn\n",
+    "import snowflake.connector"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Login\n",
+    "Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "api_key = vn.get_api_key('my-email@example.com')\n",
+    "vn.set_api_key(api_key)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Set your Model\n",
+    "You need to choose a globally unique model name. Try using your company name or another unique string. All data from models are isolated - there's no leakage."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vn.set_model('tpc') # Enter your model name here. This is a globally unique identifier for your model."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Set Database Connection\n",
+    "These details are only referenced within your notebook. These database credentials are never sent to Vanna's severs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vn.connect_to_snowflake(account='my-account', username='my-username', password='my-password', database='my-database')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Get Results\n",
+    "This gets the SQL, gets the dataframe, and prints them both. Note that we use your connection string to execute the SQL on your warehouse from your local instance. Your connection nor your data gets sent to Vanna's servers. For more info on how Vanna works, [see this post](https://medium.com/vanna-ai/how-vanna-works-how-to-train-it-data-security-8d8f2008042)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SELECT c.c_name as customer_name,\n",
+      "       sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales\n",
+      "FROM   snowflake_sample_data.tpch_sf1.lineitem l join snowflake_sample_data.tpch_sf1.orders o\n",
+      "        ON l.l_orderkey = o.o_orderkey join snowflake_sample_data.tpch_sf1.customer c\n",
+      "        ON o.o_custkey = c.c_custkey\n",
+      "GROUP BY customer_name\n",
+      "ORDER BY total_sales desc limit 10;\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>CUSTOMER_NAME</th>\n",
+       "      <th>TOTAL_SALES</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Customer#000143500</td>\n",
+       "      <td>6757566.0218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Customer#000095257</td>\n",
+       "      <td>6294115.3340</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Customer#000087115</td>\n",
+       "      <td>6184649.5176</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Customer#000131113</td>\n",
+       "      <td>6080943.8305</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Customer#000134380</td>\n",
+       "      <td>6075141.9635</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Customer#000103834</td>\n",
+       "      <td>6059770.3232</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Customer#000069682</td>\n",
+       "      <td>6057779.0348</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Customer#000102022</td>\n",
+       "      <td>6039653.6335</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Customer#000098587</td>\n",
+       "      <td>6027021.5855</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Customer#000064660</td>\n",
+       "      <td>5905659.6159</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        CUSTOMER_NAME   TOTAL_SALES\n",
+       "0  Customer#000143500  6757566.0218\n",
+       "1  Customer#000095257  6294115.3340\n",
+       "2  Customer#000087115  6184649.5176\n",
+       "3  Customer#000131113  6080943.8305\n",
+       "4  Customer#000134380  6075141.9635\n",
+       "5  Customer#000103834  6059770.3232\n",
+       "6  Customer#000069682  6057779.0348\n",
+       "7  Customer#000102022  6039653.6335\n",
+       "8  Customer#000098587  6027021.5855\n",
+       "9  Customer#000064660  5905659.6159"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "AI-generated follow-up questions:\n",
+       "\n",
+       "* What is the country name for each of the top 10 customers by sales?\n",
+       "* How many orders does each of the top 10 customers by sales have?\n",
+       "* What is the total revenue for each of the top 10 customers by sales?\n",
+       "* What are the customer names and total sales for customers in the United States?\n",
+       "* Which customers in Africa have returned the most parts with a gross value?\n",
+       "* What are the total sales for the top 3 customers?\n",
+       "* What are the customer names and total sales for the top 5 customers?\n",
+       "* What are the total sales for customers in Europe?\n",
+       "* How many customers are there in each country?\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vn.ask(\"What are the top 10 customers by sales?\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SELECT n.n_name as country_name,\n",
+      "       sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales\n",
+      "FROM   snowflake_sample_data.tpch_sf1.nation n join snowflake_sample_data.tpch_sf1.customer c\n",
+      "        ON n.n_nationkey = c.c_nationkey join snowflake_sample_data.tpch_sf1.orders o\n",
+      "        ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l\n",
+      "        ON o.o_orderkey = l.l_orderkey\n",
+      "GROUP BY country_name\n",
+      "ORDER BY total_sales desc limit 5;\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>COUNTRY_NAME</th>\n",
+       "      <th>TOTAL_SALES</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>FRANCE</td>\n",
+       "      <td>8960205391.8314</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>INDONESIA</td>\n",
+       "      <td>8942575217.6237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>RUSSIA</td>\n",
+       "      <td>8925318302.0710</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>MOZAMBIQUE</td>\n",
+       "      <td>8892984086.0088</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>JORDAN</td>\n",
+       "      <td>8873862546.7864</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  COUNTRY_NAME      TOTAL_SALES\n",
+       "0       FRANCE  8960205391.8314\n",
+       "1    INDONESIA  8942575217.6237\n",
+       "2       RUSSIA  8925318302.0710\n",
+       "3   MOZAMBIQUE  8892984086.0088\n",
+       "4       JORDAN  8873862546.7864"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "AI-generated follow-up questions:\n",
+       "\n",
+       "* What are the total sales for each country in descending order?\n",
+       "* Which country has the highest number of customers?\n",
+       "* What are the total sales for each customer in descending order?\n",
+       "* Which customers in the United States have the highest total sales?\n",
+       "* What are the total sales and number of orders for each customer in each country?\n",
+       "* What are the total sales for customers in Europe?\n",
+       "* What are the top 10 countries with the highest total order amount?\n",
+       "* Which country has the highest number of failed orders?\n",
+       "* Which customers have the highest total sales?\n",
+       "* \n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vn.ask(\"Which 5 countries have the highest sales?\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "with ranked_customers as (SELECT c.c_name as customer_name,\n",
+      "                                 r.r_name as region_name,\n",
+      "                                 row_number() OVER (PARTITION BY r.r_name\n",
+      "                                                    ORDER BY sum(l.l_quantity * l.l_extendedprice) desc) as rank\n",
+      "                          FROM   snowflake_sample_data.tpch_sf1.customer c join snowflake_sample_data.tpch_sf1.orders o\n",
+      "                                  ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l\n",
+      "                                  ON o.o_orderkey = l.l_orderkey join snowflake_sample_data.tpch_sf1.nation n\n",
+      "                                  ON c.c_nationkey = n.n_nationkey join snowflake_sample_data.tpch_sf1.region r\n",
+      "                                  ON n.n_regionkey = r.r_regionkey\n",
+      "                          GROUP BY customer_name, region_name)\n",
+      "SELECT region_name,\n",
+      "       customer_name\n",
+      "FROM   ranked_customers\n",
+      "WHERE  rank <= 2;\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>REGION_NAME</th>\n",
+       "      <th>CUSTOMER_NAME</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ASIA</td>\n",
+       "      <td>Customer#000102022</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ASIA</td>\n",
+       "      <td>Customer#000148750</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>AMERICA</td>\n",
+       "      <td>Customer#000095257</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>AMERICA</td>\n",
+       "      <td>Customer#000091630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>EUROPE</td>\n",
+       "      <td>Customer#000028180</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>EUROPE</td>\n",
+       "      <td>Customer#000053809</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>MIDDLE EAST</td>\n",
+       "      <td>Customer#000143500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>MIDDLE EAST</td>\n",
+       "      <td>Customer#000103834</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>AFRICA</td>\n",
+       "      <td>Customer#000131113</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>AFRICA</td>\n",
+       "      <td>Customer#000134380</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   REGION_NAME       CUSTOMER_NAME\n",
+       "0         ASIA  Customer#000102022\n",
+       "1         ASIA  Customer#000148750\n",
+       "2      AMERICA  Customer#000095257\n",
+       "3      AMERICA  Customer#000091630\n",
+       "4       EUROPE  Customer#000028180\n",
+       "5       EUROPE  Customer#000053809\n",
+       "6  MIDDLE EAST  Customer#000143500\n",
+       "7  MIDDLE EAST  Customer#000103834\n",
+       "8       AFRICA  Customer#000131113\n",
+       "9       AFRICA  Customer#000134380"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "AI-generated follow-up questions:\n",
+       "\n",
+       "* - What are the total sales for each customer in the Asia region?\n",
+       "* - How many orders does each customer in the Americas region have?\n",
+       "* - Who are the top 5 customers with the highest total sales?\n",
+       "* - What is the total revenue for each customer in the Europe region?\n",
+       "* - Can you provide a breakdown of the number of customers in each country?\n",
+       "* - Which customers in the United States have the highest total sales?\n",
+       "* - What are the total sales for each customer in the Asia region?\n",
+       "* - What are the top 10 customers with the highest returned parts gross value in Africa?\n",
+       "* - What are the top 3 customers with the highest total sales overall?\n",
+       "* - Can you provide a list of the first 10 customers in the database?\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vn.ask(\"Who are the top 2 biggest customers in each region?\")"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Run as a Web App\n",
+    "If you would like to use this functionality in a web app, you can deploy the Vanna Streamlit app and use your own secrets. See [this repo](https://github.com/vanna-ai/vanna-streamlit)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/mkdocs.yml b/mkdocs.yml
deleted file mode 100644
index 6efd4f30..00000000
--- a/mkdocs.yml
+++ /dev/null
@@ -1,40 +0,0 @@
-site_name: Vanna.AI Documentation
-nav:
-  - Intro:
-    - What is Vanna.AI?: index.md
-  - Use in Notebooks:
-    - Training Vanna: notebooks/vn-train.md
-    - Asking Questions: notebooks/vn-ask.md
-  - Other Ways to Use Vanna:
-    - Use with Streamlit: streamlit.md
-  - Databases:
-    - Use with your Database: databases.md
-  - Advanced:
-    - Code Reference: reference.md
-  - Support: support.md
-repo_url: https://github.com/vanna-ai/vanna-py
-theme:
-  icon:
-    repo: fontawesome/brands/github
-  logo: https://ask.vanna.ai/static/img/vanna.svg
-  favicon: https://vanna.ai/favicon.ico
-  name: material
-  palette:
-    scheme: slate
-  features:
-    - navigation.sections
-extra_css:
-  - stylesheets/extra.css
-extra:
-  homepage: https://vanna.ai
-markdown_extensions:
-  - pymdownx.superfences:
-      custom_fences:
-        - name: mermaid
-          class: mermaid
-          format: !!python/name:pymdownx.superfences.fence_code_format
-plugins:
-  - search
-  - mkdocstrings
-copyright: >
-  Copyright &copy; 2023 Vanna.AI
\ No newline at end of file

From f07bf2c34939b2cd9e8a6e802cf81905016968c6 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 09:24:55 -0400
Subject: [PATCH 02/14] theme

---
 .github/workflows/ci.yml         |   6 +-
 docs/sidebar.py                  |  43 ++++++----
 nb-theme/conf.json               |  12 +++
 nb-theme/index.html.j2           | 134 +++++++++++++++++++++++++++++++
 nb-theme/static/custom_theme.css |   3 +
 5 files changed, 181 insertions(+), 17 deletions(-)
 create mode 100644 nb-theme/conf.json
 create mode 100644 nb-theme/index.html.j2
 create mode 100644 nb-theme/static/custom_theme.css

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index ac2e4136..17ef0683 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -21,7 +21,7 @@ jobs:
           path: .cache
           restore-keys: |
             vanna-docs-
-      - run: pip install mkdocs-material 
-      - run: pip install mkdocstrings[python]
+      - run: pip install PyYAML
+      - run: pip install nbconvert
       - run: pip install .
-      - run: mkdocs gh-deploy --force
+      - run: python docs/sidebar.py docs/sidebar.yaml docs
diff --git a/docs/sidebar.py b/docs/sidebar.py
index ed6782cc..7d844860 100644
--- a/docs/sidebar.py
+++ b/docs/sidebar.py
@@ -1,4 +1,14 @@
 import yaml
+import sys
+import nbformat
+from nbconvert import HTMLExporter
+
+# Get the yaml file path from the command line
+file_path = sys.argv[1]
+
+# Get the directory to search for the .ipynb files from the command line
+notebook_dir = sys.argv[2]
+
 
 def generate_html(sidebar_data, current_path: str):
     html = '<ul class="space-y-2">\n'
@@ -35,28 +45,33 @@ def read_yaml_file(file_path):
         yaml_data = file.read()
     return yaml_data
 
-file_path = 'sidebar.yaml'  # Replace this with the actual path to your YAML file
-
 yaml_data = read_yaml_file(file_path)
 
 # Parse YAML data
 sidebar_data = yaml.safe_load(yaml_data)
 
-# Generate HTML code
-html_code = generate_html(sidebar_data, 'vn-ask.html')
-print(html_code)
+# Get a list of all .ipynb files in the directory
+import os
+notebook_files = [file for file in os.listdir(notebook_dir) if file.endswith('.ipynb')]
 
-import nbformat
+for notebook_file in notebook_files:
+    # Get just the file name without the extension
+    notebook_name = os.path.splitext(notebook_file)[0]
 
-# Read notebook file
-current_notebook = nbformat.read('vn-ask.ipynb', as_version=4)
+    # Get the full path to the notebook
+    notebook_file_path = os.path.join(notebook_dir, notebook_file)
 
-from nbconvert import HTMLExporter
-html_exporter = HTMLExporter(template_name='blog')
+    # Generate HTML code
+    html_code = generate_html(sidebar_data, f'{notebook_name}.html')
+
+    # Read notebook file
+    current_notebook = nbformat.read(notebook_file_path, as_version=4)
+
+    html_exporter = HTMLExporter(template_name='nb-theme')
 
-(body, resources) = html_exporter.from_notebook_node(current_notebook)
+    (body, resources) = html_exporter.from_notebook_node(current_notebook)
 
-# Write body to file
-with open('vn-ask.html', 'w') as file:
-    file.write(body.replace('<!-- NAV HERE -->', html_code))
+    # Write body to file
+    with open(f'{notebook_name}.html', 'w') as file:
+        file.write(body.replace('<!-- NAV HERE -->', html_code))
 
diff --git a/nb-theme/conf.json b/nb-theme/conf.json
new file mode 100644
index 00000000..68fdf836
--- /dev/null
+++ b/nb-theme/conf.json
@@ -0,0 +1,12 @@
+{
+    "base_template": "lab",
+    "mimetypes": {
+        "text/html": true
+    },
+    "preprocessors": {
+        "100-pygments": {
+            "type": "nbconvert.preprocessors.CSSHTMLHeaderPreprocessor",
+            "enabled": true
+        }
+    }
+}
diff --git a/nb-theme/index.html.j2 b/nb-theme/index.html.j2
new file mode 100644
index 00000000..432cf76c
--- /dev/null
+++ b/nb-theme/index.html.j2
@@ -0,0 +1,134 @@
+{%- extends 'lab/base.html.j2' -%}
+{% from 'mathjax.html.j2' import mathjax %}
+{% from 'jupyter_widgets.html.j2' import jupyter_widgets %}
+
+{%- block header -%}
+<!DOCTYPE html>
+<html>
+<head>
+{%- block html_head -%}
+<meta charset="utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0">
+<meta http-equiv="X-UA-Compatible" content="chrome=1" />
+<meta name="apple-mobile-web-app-capable" content="yes" />
+<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
+<meta name="theme-color" content="#000000" />
+<meta name="author" content="{{nb.metadata.get('author', '')}}">
+<meta
+  name="description"
+  content="{{nb.metadata.get('description', '')}}"
+/>
+{% if "google-analytics-id" in nb.metadata %}
+{% set ga_id = nb.metadata.get('google-analytics-id', '') %}
+<script async src="https://www.googletagmanager.com/gtag/js?id={{ga_id}}">
+</script>
+<script>
+  window.dataLayer = window.dataLayer || [];
+  function gtag(){dataLayer.push(arguments);}
+  gtag("js", new Date());
+
+  gtag("config", "{{ga_id}}");
+</script>
+{% endif %}
+{% set nb_title = nb.metadata.get('title', '') or resources['metadata']['name'] %}
+<title>{{nb_title}}</title>
+<script src="https://cdn.tailwindcss.com"></script>
+<script src="https://cdnjs.cloudflare.com/ajax/libs/flowbite/1.8.0/flowbite.min.js"></script>
+
+{%- block html_head_js -%}
+{%- block html_head_js_requirejs -%}
+<script src="{{ resources.require_js_url }}"></script>
+{%- endblock html_head_js_requirejs -%}
+{%- endblock html_head_js -%}
+
+{% block jupyter_widgets %}
+  {%- if "widgets" in nb.metadata -%}
+    {{ jupyter_widgets(resources.jupyter_widgets_base_url, resources.html_manager_semver_range) }}
+  {%- endif -%}
+{% endblock jupyter_widgets %}
+
+{% block extra_css %}
+{% endblock extra_css %}
+
+{% for css in resources.inlining.css -%}
+  <style type="text/css">
+    {{ css }}
+  </style>
+{% endfor %}
+
+{% block notebook_css %}
+{{ resources.include_css("static/index.css") }}
+{% if resources.theme == 'dark' %}
+    {{ resources.include_css("static/theme-dark.css") }}
+{% else %}
+    {{ resources.include_css("static/theme-light.css") }}
+{% endif %}
+<style type="text/css">
+a.anchor-link {
+   display: none;
+}
+.highlight  {
+    margin: 0.4em;
+}
+
+/* Input area styling */
+.jp-InputArea {
+    overflow: hidden;
+}
+
+.jp-InputArea-editor {
+    overflow: hidden;
+}
+
+@media print {
+  body {
+    margin: 0;
+  }
+}
+</style>
+
+{{ resources.include_css("static/custom_theme.css") }}
+{% endblock notebook_css %}
+
+{{ mathjax() }}
+
+{%- block html_head_css -%}
+{%- endblock html_head_css -%}
+
+{%- endblock html_head -%}
+</head>
+{%- endblock header -%}
+
+{%- block body_header -%}
+{% if resources.theme == 'dark' %}
+<body class="jp-Notebook" data-jp-theme-light="false" data-jp-theme-name="JupyterLab Dark">
+{% else %}
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+{% endif %}
+<button data-drawer-target="default-sidebar" data-drawer-toggle="default-sidebar" aria-controls="default-sidebar" type="button" class="inline-flex items-center p-2 mt-2 ml-3 text-sm text-gray-500 rounded-lg sm:hidden hover:bg-gray-100 focus:outline-none focus:ring-2 focus:ring-gray-200 dark:text-gray-400 dark:hover:bg-gray-700 dark:focus:ring-gray-600">
+   <span class="sr-only">Open sidebar</span>
+   <svg class="w-6 h-6" aria-hidden="true" fill="currentColor" viewBox="0 0 20 20" xmlns="http://www.w3.org/2000/svg">
+      <path clip-rule="evenodd" fill-rule="evenodd" d="M2 4.75A.75.75 0 012.75 4h14.5a.75.75 0 010 1.5H2.75A.75.75 0 012 4.75zm0 10.5a.75.75 0 01.75-.75h7.5a.75.75 0 010 1.5h-7.5a.75.75 0 01-.75-.75zM2 10a.75.75 0 01.75-.75h14.5a.75.75 0 010 1.5H2.75A.75.75 0 012 10z"></path>
+   </svg>
+</button>
+
+<aside id="default-sidebar" class="fixed top-0 left-0 z-40 w-64 h-screen transition-transform -translate-x-full sm:translate-x-0" aria-label="Sidenav">
+  <div class="overflow-y-auto py-5 px-3 h-full bg-white border-r border-gray-200 dark:bg-gray-800 dark:border-gray-700">
+    <img src="https://img.vanna.ai/vanna-navbar.svg" class="h-6 mr-3 mb-3 sm:h-7" alt="Vanna AI Logo">
+    <!-- NAV HERE -->
+  </div>
+</aside>
+<div class="p-4 sm:ml-64 max-w-screen-xl">
+{%- endblock body_header -%}
+
+
+{% block body_footer %}
+</div>
+</body>
+{% endblock body_footer %}
+
+{% block footer %}
+{% block footer_js %}
+{% endblock footer_js %}
+</html>
+{% endblock footer %}
diff --git a/nb-theme/static/custom_theme.css b/nb-theme/static/custom_theme.css
new file mode 100644
index 00000000..73b192a6
--- /dev/null
+++ b/nb-theme/static/custom_theme.css
@@ -0,0 +1,3 @@
+.jp-InputPrompt {
+  font-size: 0.7rem;
+}

From ab8aef6e815e3dbbeeca4dcf23e5c5f9445dbf57 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 09:29:08 -0400
Subject: [PATCH 03/14] ghp-import

---
 .github/workflows/ci.yml | 2 ++
 docs/sidebar.py          | 2 +-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 17ef0683..256b13d2 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -23,5 +23,7 @@ jobs:
             vanna-docs-
       - run: pip install PyYAML
       - run: pip install nbconvert
+      - run: pip install ghp-import
       - run: pip install .
       - run: python docs/sidebar.py docs/sidebar.yaml docs
+      - run: ghp-import -n -p -f docs
diff --git a/docs/sidebar.py b/docs/sidebar.py
index 7d844860..367d962e 100644
--- a/docs/sidebar.py
+++ b/docs/sidebar.py
@@ -72,6 +72,6 @@ def read_yaml_file(file_path):
     (body, resources) = html_exporter.from_notebook_node(current_notebook)
 
     # Write body to file
-    with open(f'{notebook_name}.html', 'w') as file:
+    with open(os.path.join(notebook_dir, f'{notebook_name}.html'), 'w') as file:
         file.write(body.replace('<!-- NAV HERE -->', html_code))
 

From 661245ded0602b44a7b39980eb853bf2f810ea3f Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 09:29:57 -0400
Subject: [PATCH 04/14] update-docs-3

---
 .github/workflows/ci.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 256b13d2..a89faf94 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -3,7 +3,7 @@ on:
   push:
     branches:
       - main
-      - update-docs-2
+      - update-docs-3
 permissions:
   contents: write
 jobs:

From 2a7162458ef633d5f274e8109c85ee901caeb4d1 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 09:42:36 -0400
Subject: [PATCH 05/14] add pdoc

---
 .github/workflows/ci.yml | 2 ++
 pyproject.toml           | 2 +-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index a89faf94..3e74dd75 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -24,6 +24,8 @@ jobs:
       - run: pip install PyYAML
       - run: pip install nbconvert
       - run: pip install ghp-import
+      - run: pip install pdoc
       - run: pip install .
+      - run: pdoc vanna --logo https://img.vanna.ai/vanna-ref.svg --logo-link https://docs.vanna.ai --no-show-source --mermaid --docformat google -n -o docs
       - run: python docs/sidebar.py docs/sidebar.yaml docs
       - run: ghp-import -n -p -f docs
diff --git a/pyproject.toml b/pyproject.toml
index 47c8c94e..ce5084e2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ classifiers = [
     "Operating System :: OS Independent",
 ]
 dependencies = [
-    "requests", "tabulate", "plotly", "kaleido", "pandas"
+    "requests", "tabulate", "plotly", "pandas", "sqlparse", "kaleido"
 ]
 
 [project.urls]

From 0cf3e7cfb304833e96ff0273fe3305de3d8dee22 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 09:47:31 -0400
Subject: [PATCH 06/14] cleanup

---
 docs/chart.png    | Bin 157325 -> 0 bytes
 docs/index.html   |   7 -
 docs/search.js    |  46 ---
 docs/sidebar.yaml |   2 +-
 docs/slides.html  |  63 ----
 docs/vanna.html   | 786 ----------------------------------------------
 6 files changed, 1 insertion(+), 903 deletions(-)
 delete mode 100644 docs/chart.png
 delete mode 100644 docs/index.html
 delete mode 100644 docs/search.js
 delete mode 100644 docs/slides.html
 delete mode 100644 docs/vanna.html

diff --git a/docs/chart.png b/docs/chart.png
deleted file mode 100644
index 1ebe3f61c57c2f103b3e993df62bb2928c3fb7ec..0000000000000000000000000000000000000000
GIT binary patch
literal 0
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diff --git a/docs/index.html b/docs/index.html
deleted file mode 100644
index 61bf32c2..00000000
--- a/docs/index.html
+++ /dev/null
@@ -1,7 +0,0 @@
-<!doctype html>
-<html>
-<head>
-    <meta charset="utf-8">
-    <meta http-equiv="refresh" content="0; url=./vanna.html"/>
-</head>
-</html>
diff --git a/docs/search.js b/docs/search.js
deleted file mode 100644
index 408d1094..00000000
--- a/docs/search.js
+++ /dev/null
@@ -1,46 +0,0 @@
-window.pdocSearch = (function(){
-/** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. 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importing "+e.version);var n=new this;n._fields=e.fields,n._ref=e.ref,n.documentStore=t.DocumentStore.load(e.documentStore),n.pipeline=t.Pipeline.load(e.pipeline),n.index={};for(var i in e.index)n.index[i]=t.InvertedIndex.load(e.index[i]);return n},t.Index.prototype.addField=function(e){return this._fields.push(e),this.index[e]=new t.InvertedIndex,this},t.Index.prototype.setRef=function(e){return this._ref=e,this},t.Index.prototype.saveDocument=function(e){return this.documentStore=new t.DocumentStore(e),this},t.Index.prototype.addDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.addDoc(i,e),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));this.documentStore.addFieldLength(i,n,o.length);var r={};o.forEach(function(e){e in r?r[e]+=1:r[e]=1},this);for(var s in r){var u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u<s.length;u++){var a=s[u];r[a]=this.pipeline.run(t.tokenizer(e[a]))}var l={};for(var c in o){var d=r[c]||r.any;if(d){var f=this.fieldSearch(d,c,o),h=o[c].boost;for(var p in f)f[p]=f[p]*h;for(var p in f)p in l?l[p]+=f[p]:l[p]=f[p]}}var v,g=[];for(var p in l)v={ref:p,score:l[p]},this.documentStore.hasDoc(p)&&(v.doc=this.documentStore.getDoc(p)),g.push(v);return g.sort(function(e,t){return t.score-e.score}),g},t.Index.prototype.fieldSearch=function(e,t,n){var i=n[t].bool,o=n[t].expand,r=n[t].boost,s=null,u={};return 0!==r?(e.forEach(function(e){var n=[e];1==o&&(n=this.index[t].expandToken(e));var r={};n.forEach(function(n){var o=this.index[t].getDocs(n),a=this.idf(n,t);if(s&&"AND"==i){var l={};for(var c in s)c in o&&(l[c]=o[c]);o=l}n==e&&this.fieldSearchStats(u,n,o);for(var c in o){var d=this.index[t].getTermFrequency(n,c),f=this.documentStore.getFieldLength(c,t),h=1;0!=f&&(h=1/Math.sqrt(f));var p=1;n!=e&&(p=.15*(1-(n.length-e.length)/n.length));var v=d*a*h*p;c in r?r[c]+=v:r[c]=v}},this),s=this.mergeScores(s,r,i)},this),s=this.coordNorm(s,u,e.length)):void 0},t.Index.prototype.mergeScores=function(e,t,n){if(!e)return t;if("AND"==n){var i={};for(var o in t)o in e&&(i[o]=e[o]+t[o]);return i}for(var o in t)o in e?e[o]+=t[o]:e[o]=t[o];return e},t.Index.prototype.fieldSearchStats=function(e,t,n){for(var i in n)i in e?e[i].push(t):e[i]=[t]},t.Index.prototype.coordNorm=function(e,t,n){for(var i in e)if(i in t){var o=t[i].length;e[i]=e[i]*o/n}return e},t.Index.prototype.toJSON=function(){var e={};return this._fields.forEach(function(t){e[t]=this.index[t].toJSON()},this),{version:t.version,fields:this._fields,ref:this._ref,documentStore:this.documentStore.toJSON(),index:e,pipeline:this.pipeline.toJSON()}},t.Index.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},t.DocumentStore=function(e){this._save=null===e||void 0===e?!0:e,this.docs={},this.docInfo={},this.length=0},t.DocumentStore.load=function(e){var t=new this;return t.length=e.length,t.docs=e.docs,t.docInfo=e.docInfo,t._save=e.save,t},t.DocumentStore.prototype.isDocStored=function(){return this._save},t.DocumentStore.prototype.addDoc=function(t,n){this.hasDoc(t)||this.length++,this.docs[t]=this._save===!0?e(n):null},t.DocumentStore.prototype.getDoc=function(e){return this.hasDoc(e)===!1?null:this.docs[e]},t.DocumentStore.prototype.hasDoc=function(e){return e in this.docs},t.DocumentStore.prototype.removeDoc=function(e){this.hasDoc(e)&&(delete this.docs[e],delete this.docInfo[e],this.length--)},t.DocumentStore.prototype.addFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&(this.docInfo[e]||(this.docInfo[e]={}),this.docInfo[e][t]=n)},t.DocumentStore.prototype.updateFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&this.addFieldLength(e,t,n)},t.DocumentStore.prototype.getFieldLength=function(e,t){return null===e||void 0===e?0:e in this.docs&&t in this.docInfo[e]?this.docInfo[e][t]:0},t.DocumentStore.prototype.toJSON=function(){return{docs:this.docs,docInfo:this.docInfo,length:this.length,save:this._save}},t.stemmer=function(){var e={ational:"ate",tional:"tion",enci:"ence",anci:"ance",izer:"ize",bli:"ble",alli:"al",entli:"ent",eli:"e",ousli:"ous",ization:"ize",ation:"ate",ator:"ate",alism:"al",iveness:"ive",fulness:"ful",ousness:"ous",aliti:"al",iviti:"ive",biliti:"ble",logi:"log"},t={icate:"ic",ative:"",alize:"al",iciti:"ic",ical:"ic",ful:"",ness:""},n="[^aeiou]",i="[aeiouy]",o=n+"[^aeiouy]*",r=i+"[aeiou]*",s="^("+o+")?"+r+o,u="^("+o+")?"+r+o+"("+r+")?$",a="^("+o+")?"+r+o+r+o,l="^("+o+")?"+i,c=new RegExp(s),d=new RegExp(a),f=new RegExp(u),h=new RegExp(l),p=/^(.+?)(ss|i)es$/,v=/^(.+?)([^s])s$/,g=/^(.+?)eed$/,m=/^(.+?)(ed|ing)$/,y=/.$/,S=/(at|bl|iz)$/,x=new RegExp("([^aeiouylsz])\\1$"),w=new RegExp("^"+o+i+"[^aeiouwxy]$"),I=/^(.+?[^aeiou])y$/,b=/^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/,E=/^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/,D=/^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/,F=/^(.+?)(s|t)(ion)$/,_=/^(.+?)e$/,P=/ll$/,k=new RegExp("^"+o+i+"[^aeiouwxy]$"),z=function(n){var i,o,r,s,u,a,l;if(n.length<3)return n;if(r=n.substr(0,1),"y"==r&&(n=r.toUpperCase()+n.substr(1)),s=p,u=v,s.test(n)?n=n.replace(s,"$1$2"):u.test(n)&&(n=n.replace(u,"$1$2")),s=g,u=m,s.test(n)){var z=s.exec(n);s=c,s.test(z[1])&&(s=y,n=n.replace(s,""))}else if(u.test(n)){var z=u.exec(n);i=z[1],u=h,u.test(i)&&(n=i,u=S,a=x,l=w,u.test(n)?n+="e":a.test(n)?(s=y,n=n.replace(s,"")):l.test(n)&&(n+="e"))}if(s=I,s.test(n)){var z=s.exec(n);i=z[1],n=i+"i"}if(s=b,s.test(n)){var z=s.exec(n);i=z[1],o=z[2],s=c,s.test(i)&&(n=i+e[o])}if(s=E,s.test(n)){var z=s.exec(n);i=z[1],o=z[2],s=c,s.test(i)&&(n=i+t[o])}if(s=D,u=F,s.test(n)){var z=s.exec(n);i=z[1],s=d,s.test(i)&&(n=i)}else if(u.test(n)){var z=u.exec(n);i=z[1]+z[2],u=d,u.test(i)&&(n=i)}if(s=_,s.test(n)){var z=s.exec(n);i=z[1],s=d,u=f,a=k,(s.test(i)||u.test(i)&&!a.test(i))&&(n=i)}return s=P,u=d,s.test(n)&&u.test(n)&&(s=y,n=n.replace(s,"")),"y"==r&&(n=r.toLowerCase()+n.substr(1)),n};return z}(),t.Pipeline.registerFunction(t.stemmer,"stemmer"),t.stopWordFilter=function(e){return e&&t.stopWordFilter.stopWords[e]!==!0?e:void 0},t.clearStopWords=function(){t.stopWordFilter.stopWords={}},t.addStopWords=function(e){null!=e&&Array.isArray(e)!==!1&&e.forEach(function(e){t.stopWordFilter.stopWords[e]=!0},this)},t.resetStopWords=function(){t.stopWordFilter.stopWords=t.defaultStopWords},t.defaultStopWords={"":!0,a:!0,able:!0,about:!0,across:!0,after:!0,all:!0,almost:!0,also:!0,am:!0,among:!0,an:!0,and:!0,any:!0,are:!0,as:!0,at:!0,be:!0,because:!0,been:!0,but:!0,by:!0,can:!0,cannot:!0,could:!0,dear:!0,did:!0,"do":!0,does:!0,either:!0,"else":!0,ever:!0,every:!0,"for":!0,from:!0,get:!0,got:!0,had:!0,has:!0,have:!0,he:!0,her:!0,hers:!0,him:!0,his:!0,how:!0,however:!0,i:!0,"if":!0,"in":!0,into:!0,is:!0,it:!0,its:!0,just:!0,least:!0,let:!0,like:!0,likely:!0,may:!0,me:!0,might:!0,most:!0,must:!0,my:!0,neither:!0,no:!0,nor:!0,not:!0,of:!0,off:!0,often:!0,on:!0,only:!0,or:!0,other:!0,our:!0,own:!0,rather:!0,said:!0,say:!0,says:!0,she:!0,should:!0,since:!0,so:!0,some:!0,than:!0,that:!0,the:!0,their:!0,them:!0,then:!0,there:!0,these:!0,they:!0,"this":!0,tis:!0,to:!0,too:!0,twas:!0,us:!0,wants:!0,was:!0,we:!0,were:!0,what:!0,when:!0,where:!0,which:!0,"while":!0,who:!0,whom:!0,why:!0,will:!0,"with":!0,would:!0,yet:!0,you:!0,your:!0},t.stopWordFilter.stopWords=t.defaultStopWords,t.Pipeline.registerFunction(t.stopWordFilter,"stopWordFilter"),t.trimmer=function(e){if(null===e||void 0===e)throw new Error("token should not be undefined");return e.replace(/^\W+/,"").replace(/\W+$/,"")},t.Pipeline.registerFunction(t.trimmer,"trimmer"),t.InvertedIndex=function(){this.root={docs:{},df:0}},t.InvertedIndex.load=function(e){var t=new this;return t.root=e.root,t},t.InvertedIndex.prototype.addToken=function(e,t,n){for(var n=n||this.root,i=0;i<=e.length-1;){var o=e[i];o in n||(n[o]={docs:{},df:0}),i+=1,n=n[o]}var r=t.ref;n.docs[r]?n.docs[r]={tf:t.tf}:(n.docs[r]={tf:t.tf},n.df+=1)},t.InvertedIndex.prototype.hasToken=function(e){if(!e)return!1;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return!1;t=t[e[n]]}return!0},t.InvertedIndex.prototype.getNode=function(e){if(!e)return null;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return null;t=t[e[n]]}return t},t.InvertedIndex.prototype.getDocs=function(e){var t=this.getNode(e);return null==t?{}:t.docs},t.InvertedIndex.prototype.getTermFrequency=function(e,t){var n=this.getNode(e);return null==n?0:t in n.docs?n.docs[t].tf:0},t.InvertedIndex.prototype.getDocFreq=function(e){var t=this.getNode(e);return null==t?0:t.df},t.InvertedIndex.prototype.removeToken=function(e,t){if(e){var n=this.getNode(e);null!=n&&t in n.docs&&(delete n.docs[t],n.df-=1)}},t.InvertedIndex.prototype.expandToken=function(e,t,n){if(null==e||""==e)return[];var t=t||[];if(void 0==n&&(n=this.getNode(e),null==n))return t;n.df>0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e<arguments.length;e++)t=arguments[e],~this.indexOf(t)||this.elements.splice(this.locationFor(t),0,t);this.length=this.elements.length},lunr.SortedSet.prototype.toArray=function(){return this.elements.slice()},lunr.SortedSet.prototype.map=function(e,t){return this.elements.map(e,t)},lunr.SortedSet.prototype.forEach=function(e,t){return this.elements.forEach(e,t)},lunr.SortedSet.prototype.indexOf=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]<u[i]?n++:s[n]>u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o<r.length;o++)i.add(r[o]);return i},lunr.SortedSet.prototype.toJSON=function(){return this.toArray()},function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():e.elasticlunr=t()}(this,function(){return t})}();
-    /** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"vanna": {"fullname": "vanna", "modulename": "vanna", "kind": "module", "doc": "<h1 id=\"what-is-vannaai\">What is Vanna.AI?</h1>\n\n<p>Vanna.AI is a platform that allows you to ask questions about your data in plain English. It is an AI-powered data analyst that can answer questions about your data, generate SQL, and create visualizations.</p>\n\n<h1 id=\"how-do-i-use-vannaai\">How do I use Vanna.AI?</h1>\n\n<ul>\n<li>Import the Vanna.AI library</li>\n<li>Set your API key</li>\n<li>Set your organization name</li>\n<li>Train Vanna.AI on your data</li>\n<li>Ask questions about your data</li>\n</ul>\n\n<h1 id=\"how-does-vannaai-work\">How does Vanna.AI work?</h1>\n\n<pre class=\"mermaid-pre\"><div class=\"mermaid\">flowchart TD\n    DB[(Known Correct Question-SQL)]\n    Try[Try to Use DDL/Documentation]\n    SQL(SQL)\n    Check{Is the SQL correct?}\n    Generate[fa:fa-circle-question Use Examples to Generate]\n    DB --&gt; Find\n    Question[fa:fa-circle-question Question] --&gt; Find{fa:fa-magnifying-glass Do we have similar questions?}\n    Find -- Yes --&gt; Generate\n    Find -- No --&gt; Try\n    Generate --&gt; SQL\n    Try --&gt; SQL\n    SQL --&gt; Check\n    Check -- Yes --&gt; DB\n    Check -- No --&gt; Analyst[fa:fa-glasses Analyst Writes the SQL]\n    Analyst -- Adds --&gt; DB\n</div></pre>\n\n<h1 id=\"getting-started\">Getting Started</h1>\n\n<h2 id=\"how-do-i-import-the-vannaai-library\">How do I import the Vanna.AI library?</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"kn\">import</span> <span class=\"nn\">vanna</span> <span class=\"k\">as</span> <span class=\"nn\">vn</span>\n</code></pre>\n</div>\n\n<h2 id=\"how-do-i-set-my-api-key\">How do I set my API key?</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">api_key</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;vanna-key-...&#39;</span>\n</code></pre>\n</div>\n\n<h2 id=\"how-do-i-set-my-organization-name\">How do I set my organization name?</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">set_org</span><span class=\"p\">(</span><span class=\"s1\">&#39;my_org&#39;</span><span class=\"p\">)</span>\n</code></pre>\n</div>\n\n<h2 id=\"how-do-i-train-vannaai-on-my-data\">How do I train Vanna.AI on my data?</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">store_sql</span><span class=\"p\">(</span>\n    <span class=\"n\">question</span><span class=\"o\">=</span><span class=\"s2\">&quot;Who are the top 10 customers by Sales?&quot;</span><span class=\"p\">,</span> \n    <span class=\"n\">sql</span><span class=\"o\">=</span><span class=\"s2\">&quot;SELECT customer_name, sales FROM customers ORDER BY sales DESC LIMIT 10&quot;</span>\n<span class=\"p\">)</span>\n</code></pre>\n</div>\n\n<h2 id=\"how-do-i-ask-questions-about-my-data\">How do I ask questions about my data?</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"n\">my_question</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;What are the top 10 ABC by XYZ?&#39;</span>\n\n<span class=\"n\">sql</span> <span class=\"o\">=</span> <span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">generate_sql</span><span class=\"p\">(</span><span class=\"n\">question</span><span class=\"o\">=</span><span class=\"n\">my_question</span><span class=\"p\">,</span> <span class=\"n\">error_msg</span><span class=\"o\">=</span><span class=\"kc\">None</span><span class=\"p\">)</span>\n<span class=\"c1\"># SELECT * FROM table_name WHERE column_name = &#39;value&#39;</span>\n</code></pre>\n</div>\n\n<h2 id=\"full-example\">Full Example</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"kn\">import</span> <span class=\"nn\">vanna</span> <span class=\"k\">as</span> <span class=\"nn\">vn</span>\n\n<span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">api_key</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;vanna-key-...&#39;</span> <span class=\"c1\"># Set your API key</span>\n<span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">set_org</span><span class=\"p\">(</span><span class=\"s1\">&#39;&#39;</span><span class=\"p\">)</span> <span class=\"c1\"># Set your organization name</span>\n\n<span class=\"c1\"># Train Vanna.AI on your data</span>\n<span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">store_sql</span><span class=\"p\">(</span>\n    <span class=\"n\">question</span><span class=\"o\">=</span><span class=\"s2\">&quot;Who are the top 10 customers by Sales?&quot;</span><span class=\"p\">,</span> \n    <span class=\"n\">sql</span><span class=\"o\">=</span><span class=\"s2\">&quot;SELECT customer_name, sales FROM customers ORDER BY sales DESC LIMIT 10&quot;</span>\n<span class=\"p\">)</span>\n\n<span class=\"c1\"># Ask questions about your data</span>\n<span class=\"n\">my_question</span> <span class=\"o\">=</span> <span class=\"s1\">&#39;What are the top 10 ABC by XYZ?&#39;</span>\n\n<span class=\"c1\"># Generate SQL</span>\n<span class=\"n\">sql</span> <span class=\"o\">=</span> <span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">generate_sql</span><span class=\"p\">(</span><span class=\"n\">question</span><span class=\"o\">=</span><span class=\"n\">my_question</span><span class=\"p\">,</span> <span class=\"n\">error_msg</span><span class=\"o\">=</span><span class=\"kc\">None</span><span class=\"p\">)</span> \n\n<span class=\"c1\"># Connect to your database</span>\n<span class=\"n\">conn</span> <span class=\"o\">=</span> <span class=\"n\">snowflake</span><span class=\"o\">.</span><span class=\"n\">connector</span><span class=\"o\">.</span><span class=\"n\">connect</span><span class=\"p\">(</span>\n        <span class=\"n\">user</span><span class=\"o\">=</span><span class=\"s1\">&#39;my_user&#39;</span><span class=\"p\">,</span>\n        <span class=\"n\">password</span><span class=\"o\">=</span><span class=\"s1\">&#39;my_password&#39;</span><span class=\"p\">,</span>\n        <span class=\"n\">account</span><span class=\"o\">=</span><span class=\"s1\">&#39;my_account&#39;</span><span class=\"p\">,</span>\n        <span class=\"n\">database</span><span class=\"o\">=</span><span class=\"s1\">&#39;my_database&#39;</span><span class=\"p\">,</span>\n    <span class=\"p\">)</span>\n\n<span class=\"n\">cs</span> <span class=\"o\">=</span> <span class=\"n\">conn</span><span class=\"o\">.</span><span class=\"n\">cursor</span><span class=\"p\">()</span>\n\n<span class=\"c1\"># Get results</span>\n<span class=\"n\">df</span> <span class=\"o\">=</span> <span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">get_results</span><span class=\"p\">(</span>\n    <span class=\"n\">cs</span><span class=\"o\">=</span><span class=\"n\">cs</span><span class=\"p\">,</span> \n    <span class=\"n\">default_db</span><span class=\"o\">=</span><span class=\"n\">my_default_db</span><span class=\"p\">,</span> \n    <span class=\"n\">sql</span><span class=\"o\">=</span><span class=\"n\">sql</span>\n    <span class=\"p\">)</span>\n\n<span class=\"c1\"># Generate Plotly code</span>\n<span class=\"n\">plotly_code</span> <span class=\"o\">=</span> <span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">generate_plotly_code</span><span class=\"p\">(</span>\n    <span class=\"n\">question</span><span class=\"o\">=</span><span class=\"n\">my_question</span><span class=\"p\">,</span> \n    <span class=\"n\">sql</span><span class=\"o\">=</span><span class=\"n\">sql</span><span class=\"p\">,</span> \n    <span class=\"n\">df</span><span class=\"o\">=</span><span class=\"n\">df</span>\n    <span class=\"p\">)</span>\n\n<span class=\"c1\"># Get Plotly figure</span>\n<span class=\"n\">fig</span> <span class=\"o\">=</span> <span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">get_plotly_figure</span><span class=\"p\">(</span>\n    <span class=\"n\">plotly_code</span><span class=\"o\">=</span><span class=\"n\">plotly_code</span><span class=\"p\">,</span> \n    <span class=\"n\">df</span><span class=\"o\">=</span><span class=\"n\">df</span>\n    <span class=\"p\">)</span>\n</code></pre>\n</div>\n\n<h1 id=\"api-reference\">API Reference</h1>\n"}, "vanna.api_key": {"fullname": "vanna.api_key", "modulename": "vanna", "qualname": "api_key", "kind": "variable", "doc": "<p></p>\n", "annotation": ": Optional[str]", "default_value": "None"}, "vanna.set_org": {"fullname": "vanna.set_org", "modulename": "vanna", "qualname": "set_org", "kind": "function", "doc": "<p>Set the organization name for the Vanna.AI API.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>org (str):</strong>  The organization name.</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">org</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span><span class=\"return-annotation\">) -> <span class=\"kc\">None</span>:</span></span>", "funcdef": "def"}, "vanna.store_sql": {"fullname": "vanna.store_sql", "modulename": "vanna", "qualname": "store_sql", "kind": "function", "doc": "<p>Store a question and its corresponding SQL query in the Vanna.AI database.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>question (str):</strong>  The question to store.</li>\n<li><strong>sql (str):</strong>  The SQL query to store.</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">question</span><span class=\"p\">:</span> <span class=\"nb\">str</span>, </span><span class=\"param\"><span class=\"n\">sql</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span><span class=\"return-annotation\">) -> <span class=\"nb\">bool</span>:</span></span>", "funcdef": "def"}, "vanna.flag_sql_for_review": {"fullname": "vanna.flag_sql_for_review", "modulename": "vanna", "qualname": "flag_sql_for_review", "kind": "function", "doc": "<p>Flag a question and its corresponding SQL query for review by the Vanna.AI team.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>question (str):</strong>  The question to flag.</li>\n<li><strong>sql (str):</strong>  The SQL query to flag.</li>\n<li><strong>error_msg (str):</strong>  The error message to flag.</li>\n</ul>\n\n<h6 id=\"returns\">Returns:</h6>\n\n<blockquote>\n  <p>bool: True if the question and SQL query were flagged successfully, False otherwise.</p>\n</blockquote>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"n\">question</span><span class=\"p\">:</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"n\">sql</span><span class=\"p\">:</span> <span class=\"n\">Optional</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">error_msg</span><span class=\"p\">:</span> <span class=\"n\">Optional</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"kc\">None</span></span><span class=\"return-annotation\">) -> <span class=\"nb\">bool</span>:</span></span>", "funcdef": "def"}, "vanna.remove_sql": {"fullname": "vanna.remove_sql", "modulename": "vanna", "qualname": "remove_sql", "kind": "function", "doc": "<p>Remove a question and its corresponding SQL query from the Vanna.AI database.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>question (str):</strong>  The question to remove.</li>\n</ul>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">question</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span><span class=\"return-annotation\">) -> <span class=\"nb\">bool</span>:</span></span>", "funcdef": "def"}, "vanna.generate_sql": {"fullname": "vanna.generate_sql", "modulename": "vanna", "qualname": "generate_sql", "kind": "function", "doc": "<p>Generate an SQL query using the Vanna.AI API.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>question (str):</strong>  The question to generate an SQL query for.</li>\n</ul>\n\n<h6 id=\"returns\">Returns:</h6>\n\n<blockquote>\n  <p>str or None: The SQL query, or None if an error occurred.</p>\n</blockquote>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">question</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span><span class=\"return-annotation\">) -> <span class=\"nb\">str</span>:</span></span>", "funcdef": "def"}, "vanna.generate_plotly_code": {"fullname": "vanna.generate_plotly_code", "modulename": "vanna", "qualname": "generate_plotly_code", "kind": "function", "doc": "<p>Generate Plotly code using the Vanna.AI API.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>question (str):</strong>  The question to generate Plotly code for.</li>\n<li><strong>sql (str):</strong>  The SQL query to generate Plotly code for.</li>\n<li><strong>df (pd.DataFrame):</strong>  The dataframe to generate Plotly code for.</li>\n</ul>\n\n<h6 id=\"returns\">Returns:</h6>\n\n<blockquote>\n  <p>str or None: The Plotly code, or None if an error occurred.</p>\n</blockquote>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"n\">question</span><span class=\"p\">:</span> <span class=\"n\">Optional</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span>,</span><span class=\"param\">\t<span class=\"n\">sql</span><span class=\"p\">:</span> <span class=\"n\">Optional</span><span class=\"p\">[</span><span class=\"nb\">str</span><span class=\"p\">]</span>,</span><span class=\"param\">\t<span class=\"n\">df</span><span class=\"p\">:</span> <span class=\"n\">pandas</span><span class=\"o\">.</span><span class=\"n\">core</span><span class=\"o\">.</span><span class=\"n\">frame</span><span class=\"o\">.</span><span class=\"n\">DataFrame</span></span><span class=\"return-annotation\">) -> <span class=\"nb\">str</span>:</span></span>", "funcdef": "def"}, "vanna.get_plotly_figure": {"fullname": "vanna.get_plotly_figure", "modulename": "vanna", "qualname": "get_plotly_figure", "kind": "function", "doc": "<p>Get a Plotly figure from a dataframe and Plotly code.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>df (pd.DataFrame):</strong>  The dataframe to use.</li>\n<li><strong>plotly_code (str):</strong>  The Plotly code to use.</li>\n</ul>\n\n<h6 id=\"returns\">Returns:</h6>\n\n<blockquote>\n  <p>plotly.graph_objs.Figure: The Plotly figure.</p>\n</blockquote>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"n\">plotly_code</span><span class=\"p\">:</span> <span class=\"nb\">str</span>,</span><span class=\"param\">\t<span class=\"n\">df</span><span class=\"p\">:</span> <span class=\"n\">pandas</span><span class=\"o\">.</span><span class=\"n\">core</span><span class=\"o\">.</span><span class=\"n\">frame</span><span class=\"o\">.</span><span class=\"n\">DataFrame</span>,</span><span class=\"param\">\t<span class=\"n\">dark_mode</span><span class=\"p\">:</span> <span class=\"nb\">bool</span> <span class=\"o\">=</span> <span class=\"kc\">True</span></span><span class=\"return-annotation\">) -> <span class=\"n\">plotly</span><span class=\"o\">.</span><span class=\"n\">graph_objs</span><span class=\"o\">.</span><span class=\"n\">_figure</span><span class=\"o\">.</span><span class=\"n\">Figure</span>:</span></span>", "funcdef": "def"}, "vanna.get_results": {"fullname": "vanna.get_results", "modulename": "vanna", "qualname": "get_results", "kind": "function", "doc": "<p>Run the SQL query and return the results as a pandas dataframe.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>cs:</strong>  Snowflake connection cursor.</li>\n<li><strong>default_database (str):</strong>  The default database to use.</li>\n<li><strong>sql (str):</strong>  The SQL query to execute.</li>\n</ul>\n\n<h6 id=\"returns\">Returns:</h6>\n\n<blockquote>\n  <p>pd.DataFrame: The results of the SQL query.</p>\n</blockquote>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">cs</span>, </span><span class=\"param\"><span class=\"n\">default_database</span><span class=\"p\">:</span> <span class=\"nb\">str</span>, </span><span class=\"param\"><span class=\"n\">sql</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span><span class=\"return-annotation\">) -> <span class=\"n\">pandas</span><span class=\"o\">.</span><span class=\"n\">core</span><span class=\"o\">.</span><span class=\"n\">frame</span><span class=\"o\">.</span><span class=\"n\">DataFrame</span>:</span></span>", "funcdef": "def"}, "vanna.generate_explanation": {"fullname": "vanna.generate_explanation", "modulename": "vanna", "qualname": "generate_explanation", "kind": "function", "doc": "<h2 id=\"example\">Example</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">generate_explanation</span><span class=\"p\">(</span><span class=\"n\">sql</span><span class=\"o\">=</span><span class=\"s2\">&quot;SELECT * FROM students WHERE name = &#39;John Doe&#39;&quot;</span><span class=\"p\">)</span>\n<span class=\"c1\"># &#39;AI Response&#39;</span>\n</code></pre>\n</div>\n\n<p>Generate an explanation of an SQL query using the Vanna.AI API.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>sql (str):</strong>  The SQL query to generate an explanation for.</li>\n</ul>\n\n<h6 id=\"returns\">Returns:</h6>\n\n<blockquote>\n  <p>str or None: The explanation, or None if an error occurred.</p>\n</blockquote>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">sql</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span><span class=\"return-annotation\">) -> <span class=\"nb\">str</span>:</span></span>", "funcdef": "def"}, "vanna.generate_question": {"fullname": "vanna.generate_question", "modulename": "vanna", "qualname": "generate_question", "kind": "function", "doc": "<h2 id=\"example\">Example</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">generate_question</span><span class=\"p\">(</span><span class=\"n\">sql</span><span class=\"o\">=</span><span class=\"s2\">&quot;SELECT * FROM students WHERE name = &#39;John Doe&#39;&quot;</span><span class=\"p\">)</span>\n<span class=\"c1\"># &#39;AI Response&#39;</span>\n</code></pre>\n</div>\n\n<p>Generate a question from an SQL query using the Vanna.AI API.</p>\n\n<h6 id=\"arguments\">Arguments:</h6>\n\n<ul>\n<li><strong>sql (str):</strong>  The SQL query to generate a question for.</li>\n</ul>\n\n<h6 id=\"returns\">Returns:</h6>\n\n<blockquote>\n  <p>str or None: The question, or None if an error occurred.</p>\n</blockquote>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">sql</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span><span class=\"return-annotation\">) -> <span class=\"nb\">str</span>:</span></span>", "funcdef": "def"}, "vanna.get_flagged_questions": {"fullname": "vanna.get_flagged_questions", "modulename": "vanna", "qualname": "get_flagged_questions", "kind": "function", "doc": "<h2 id=\"example\">Example</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">get_flagged_questions</span><span class=\"p\">()</span>\n<span class=\"c1\"># [FullQuestionDocument(...), ...]</span>\n</code></pre>\n</div>\n\n<p>Get a list of flagged questions from the Vanna.AI API.</p>\n\n<h6 id=\"returns\">Returns:</h6>\n\n<blockquote>\n  <p>List[FullQuestionDocument] or None: The list of flagged questions, or None if an error occurred.</p>\n</blockquote>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"return-annotation\">) -> <span class=\"n\">vanna</span><span class=\"o\">.</span><span class=\"n\">types</span><span class=\"o\">.</span><span class=\"n\">QuestionList</span>:</span></span>", "funcdef": "def"}, "vanna.get_accuracy_stats": {"fullname": "vanna.get_accuracy_stats", "modulename": "vanna", "qualname": "get_accuracy_stats", "kind": "function", "doc": "<h2 id=\"example\">Example</h2>\n\n<div class=\"pdoc-code codehilite\">\n<pre><span></span><code><span class=\"n\">vn</span><span class=\"o\">.</span><span class=\"n\">get_accuracy_stats</span><span class=\"p\">()</span>\n<span class=\"c1\"># {&#39;accuracy&#39;: 0.0, &#39;total&#39;: 0, &#39;correct&#39;: 0}</span>\n</code></pre>\n</div>\n\n<p>Get the accuracy statistics from the Vanna.AI API.</p>\n\n<h6 id=\"returns\">Returns:</h6>\n\n<blockquote>\n  <p>dict or None: The accuracy statistics, or None if an error occurred.</p>\n</blockquote>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"return-annotation\">) -> <span class=\"n\">vanna</span><span class=\"o\">.</span><span class=\"n\">types</span><span class=\"o\">.</span><span class=\"n\">AccuracyStats</span>:</span></span>", "funcdef": "def"}, "vanna.types": {"fullname": "vanna.types", "modulename": "vanna.types", "kind": "module", "doc": "<p></p>\n"}, "vanna.types.Status": {"fullname": "vanna.types.Status", "modulename": "vanna.types", "qualname": "Status", "kind": "class", "doc": "<p></p>\n"}, "vanna.types.Status.__init__": {"fullname": "vanna.types.Status.__init__", "modulename": "vanna.types", "qualname": "Status.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">success</span><span class=\"p\">:</span> <span class=\"nb\">bool</span>, </span><span class=\"param\"><span class=\"n\">message</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span>)</span>"}, "vanna.types.Status.success": {"fullname": "vanna.types.Status.success", "modulename": "vanna.types", "qualname": "Status.success", "kind": "variable", "doc": "<p></p>\n", "annotation": ": bool"}, "vanna.types.Status.message": {"fullname": "vanna.types.Status.message", "modulename": "vanna.types", "qualname": "Status.message", "kind": "variable", "doc": "<p></p>\n", "annotation": ": str"}, "vanna.types.QuestionList": {"fullname": "vanna.types.QuestionList", "modulename": "vanna.types", "qualname": "QuestionList", "kind": "class", "doc": "<p></p>\n"}, "vanna.types.QuestionList.__init__": {"fullname": "vanna.types.QuestionList.__init__", "modulename": "vanna.types", "qualname": "QuestionList.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">questions</span><span class=\"p\">:</span> <span class=\"n\">List</span><span class=\"p\">[</span><span class=\"n\">vanna</span><span class=\"o\">.</span><span class=\"n\">types</span><span class=\"o\">.</span><span class=\"n\">FullQuestionDocument</span><span class=\"p\">]</span></span>)</span>"}, "vanna.types.QuestionList.questions": {"fullname": "vanna.types.QuestionList.questions", "modulename": "vanna.types", "qualname": "QuestionList.questions", "kind": "variable", "doc": "<p></p>\n", "annotation": ": List[vanna.types.FullQuestionDocument]"}, "vanna.types.FullQuestionDocument": {"fullname": "vanna.types.FullQuestionDocument", "modulename": "vanna.types", "qualname": "FullQuestionDocument", "kind": "class", "doc": "<p></p>\n"}, "vanna.types.FullQuestionDocument.__init__": {"fullname": "vanna.types.FullQuestionDocument.__init__", "modulename": "vanna.types", "qualname": "FullQuestionDocument.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code multiline\">(<span class=\"param\">\t<span class=\"nb\">id</span><span class=\"p\">:</span> <span class=\"n\">vanna</span><span class=\"o\">.</span><span class=\"n\">types</span><span class=\"o\">.</span><span class=\"n\">QuestionId</span>,</span><span class=\"param\">\t<span class=\"n\">question</span><span class=\"p\">:</span> <span class=\"n\">vanna</span><span class=\"o\">.</span><span class=\"n\">types</span><span class=\"o\">.</span><span class=\"n\">Question</span>,</span><span class=\"param\">\t<span class=\"n\">answer</span><span class=\"p\">:</span> <span class=\"n\">vanna</span><span class=\"o\">.</span><span class=\"n\">types</span><span class=\"o\">.</span><span class=\"n\">SQLAnswer</span> <span class=\"o\">|</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">data</span><span class=\"p\">:</span> <span class=\"n\">vanna</span><span class=\"o\">.</span><span class=\"n\">types</span><span class=\"o\">.</span><span class=\"n\">DataResult</span> <span class=\"o\">|</span> <span class=\"kc\">None</span>,</span><span class=\"param\">\t<span class=\"n\">plotly</span><span class=\"p\">:</span> <span class=\"n\">vanna</span><span class=\"o\">.</span><span class=\"n\">types</span><span class=\"o\">.</span><span class=\"n\">PlotlyResult</span> <span class=\"o\">|</span> <span class=\"kc\">None</span></span>)</span>"}, "vanna.types.FullQuestionDocument.id": {"fullname": "vanna.types.FullQuestionDocument.id", "modulename": "vanna.types", "qualname": "FullQuestionDocument.id", "kind": "variable", "doc": "<p></p>\n", "annotation": ": vanna.types.QuestionId"}, "vanna.types.FullQuestionDocument.question": {"fullname": 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class=\"n\">question</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span>)</span>"}, "vanna.types.Question.question": {"fullname": "vanna.types.Question.question", "modulename": "vanna.types", "qualname": "Question.question", "kind": "variable", "doc": "<p></p>\n", "annotation": ": str"}, "vanna.types.QuestionCategory": {"fullname": "vanna.types.QuestionCategory", "modulename": "vanna.types", "qualname": "QuestionCategory", "kind": "class", "doc": "<p></p>\n"}, "vanna.types.QuestionCategory.__init__": {"fullname": "vanna.types.QuestionCategory.__init__", "modulename": "vanna.types", "qualname": "QuestionCategory.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">question</span><span class=\"p\">:</span> <span class=\"nb\">str</span>, </span><span class=\"param\"><span class=\"n\">category</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span>)</span>"}, 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"qualname": "AccuracyStats.data", "kind": "variable", "doc": "<p></p>\n", "annotation": ": Dict[str, int]"}, "vanna.types.Followup": {"fullname": "vanna.types.Followup", "modulename": "vanna.types", "qualname": "Followup", "kind": "class", "doc": "<p></p>\n"}, "vanna.types.Followup.__init__": {"fullname": "vanna.types.Followup.__init__", "modulename": "vanna.types", "qualname": "Followup.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">followup</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span>)</span>"}, "vanna.types.Followup.followup": {"fullname": "vanna.types.Followup.followup", "modulename": "vanna.types", "qualname": "Followup.followup", "kind": "variable", "doc": "<p></p>\n", "annotation": ": str"}, "vanna.types.QuestionEmbedding": {"fullname": "vanna.types.QuestionEmbedding", "modulename": "vanna.types", "qualname": "QuestionEmbedding", "kind": "class", "doc": "<p></p>\n"}, "vanna.types.QuestionEmbedding.__init__": {"fullname": "vanna.types.QuestionEmbedding.__init__", "modulename": "vanna.types", "qualname": "QuestionEmbedding.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">question</span><span class=\"p\">:</span> <span class=\"n\">vanna</span><span class=\"o\">.</span><span class=\"n\">types</span><span class=\"o\">.</span><span class=\"n\">Question</span>, </span><span class=\"param\"><span class=\"n\">embedding</span><span class=\"p\">:</span> <span class=\"n\">List</span><span class=\"p\">[</span><span class=\"nb\">float</span><span class=\"p\">]</span></span>)</span>"}, "vanna.types.QuestionEmbedding.question": {"fullname": "vanna.types.QuestionEmbedding.question", "modulename": "vanna.types", "qualname": "QuestionEmbedding.question", "kind": "variable", "doc": "<p></p>\n", "annotation": ": vanna.types.Question"}, "vanna.types.QuestionEmbedding.embedding": {"fullname": "vanna.types.QuestionEmbedding.embedding", "modulename": "vanna.types", "qualname": "QuestionEmbedding.embedding", "kind": "variable", "doc": "<p></p>\n", "annotation": ": List[float]"}, "vanna.types.Connection": {"fullname": "vanna.types.Connection", "modulename": "vanna.types", "qualname": "Connection", "kind": "class", "doc": "<p></p>\n"}, "vanna.types.SQLAnswer": {"fullname": "vanna.types.SQLAnswer", "modulename": "vanna.types", "qualname": "SQLAnswer", "kind": "class", "doc": "<p></p>\n"}, "vanna.types.SQLAnswer.__init__": {"fullname": "vanna.types.SQLAnswer.__init__", "modulename": "vanna.types", "qualname": "SQLAnswer.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">raw_answer</span><span class=\"p\">:</span> <span class=\"nb\">str</span>, </span><span class=\"param\"><span class=\"n\">prefix</span><span 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"modulename": "vanna.types", "qualname": "SQLAnswer.sql", "kind": "variable", "doc": "<p></p>\n", "annotation": ": str"}, "vanna.types.Explanation": {"fullname": "vanna.types.Explanation", "modulename": "vanna.types", "qualname": "Explanation", "kind": "class", "doc": "<p></p>\n"}, "vanna.types.Explanation.__init__": {"fullname": "vanna.types.Explanation.__init__", "modulename": "vanna.types", "qualname": "Explanation.__init__", "kind": "function", "doc": "<p></p>\n", "signature": "<span class=\"signature pdoc-code condensed\">(<span class=\"param\"><span class=\"n\">explanation</span><span class=\"p\">:</span> <span class=\"nb\">str</span></span>)</span>"}, "vanna.types.Explanation.explanation": {"fullname": "vanna.types.Explanation.explanation", "modulename": "vanna.types", "qualname": "Explanation.explanation", "kind": "variable", "doc": "<p></p>\n", "annotation": ": str"}, "vanna.types.DataResult": {"fullname": "vanna.types.DataResult", "modulename": "vanna.types", "qualname": 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class=\"n\">correction_attempts</span><span class=\"p\">:</span> <span class=\"nb\">int</span></span>)</span>"}, "vanna.types.DataResult.question": {"fullname": "vanna.types.DataResult.question", "modulename": "vanna.types", "qualname": "DataResult.question", "kind": "variable", "doc": "<p></p>\n", "annotation": ": str | None"}, "vanna.types.DataResult.sql": {"fullname": "vanna.types.DataResult.sql", "modulename": "vanna.types", "qualname": "DataResult.sql", "kind": "variable", "doc": "<p></p>\n", "annotation": ": str | None"}, "vanna.types.DataResult.table_markdown": {"fullname": "vanna.types.DataResult.table_markdown", "modulename": "vanna.types", "qualname": "DataResult.table_markdown", "kind": "variable", "doc": "<p></p>\n", "annotation": ": str"}, "vanna.types.DataResult.error": {"fullname": "vanna.types.DataResult.error", "modulename": "vanna.types", "qualname": "DataResult.error", "kind": "variable", "doc": "<p></p>\n", "annotation": ": str | None"}, 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"vanna.generate_question": {"tf": 1}}, "df": 6}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"vanna.flag_sql_for_review": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"vanna": {"tf": 1}}, "df": 1}}}}}}}}}, "y": {"docs": {"vanna": {"tf": 3.872983346207417}}, "df": 1}, "s": {"docs": {}, "df": 0, "g": {"docs": {"vanna": {"tf": 1.4142135623730951}, "vanna.flag_sql_for_review": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"vanna.flag_sql_for_review": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {"vanna": {"tf": 2.449489742783178}, "vanna.flag_sql_for_review": {"tf": 1}}, "df": 2}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"vanna.flag_sql_for_review": {"tf": 1}}, "df": 1}}}}, "x": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "z": {"docs": {"vanna": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"vanna": {"tf": 1.4142135623730951}, "vanna.get_results": {"tf": 1.4142135623730951}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"vanna.generate_explanation": {"tf": 1}, "vanna.generate_question": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"vanna": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"vanna.flag_sql_for_review": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"vanna.get_results": {"tf": 1}}, "df": 1, "s": {"docs": {"vanna.flag_sql_for_review": {"tf": 1}, "vanna.generate_sql": {"tf": 1}, "vanna.generate_plotly_code": {"tf": 1}, "vanna.get_plotly_figure": {"tf": 1}, "vanna.get_results": {"tf": 1}, "vanna.generate_explanation": {"tf": 1}, "vanna.generate_question": {"tf": 1}, "vanna.get_flagged_questions": {"tf": 1}, "vanna.get_accuracy_stats": {"tf": 1}}, "df": 9}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"vanna.remove_sql": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"vanna.get_results": {"tf": 1}}, "df": 1}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "n": {"docs": {"vanna.generate_explanation": {"tf": 1}, "vanna.generate_question": {"tf": 1}}, "df": 2}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true};
-
-    // mirrored in build-search-index.js (part 1)
-    // Also split on html tags. this is a cheap heuristic, but good enough.
-    elasticlunr.tokenizer.setSeperator(/[\s\-.;&_'"=,()]+|<[^>]*>/);
-
-    let searchIndex;
-    if (docs._isPrebuiltIndex) {
-        console.info("using precompiled search index");
-        searchIndex = elasticlunr.Index.load(docs);
-    } else {
-        console.time("building search index");
-        // mirrored in build-search-index.js (part 2)
-        searchIndex = elasticlunr(function () {
-            this.pipeline.remove(elasticlunr.stemmer);
-            this.pipeline.remove(elasticlunr.stopWordFilter);
-            this.addField("qualname");
-            this.addField("fullname");
-            this.addField("annotation");
-            this.addField("default_value");
-            this.addField("signature");
-            this.addField("bases");
-            this.addField("doc");
-            this.setRef("fullname");
-        });
-        for (let doc of docs) {
-            searchIndex.addDoc(doc);
-        }
-        console.timeEnd("building search index");
-    }
-
-    return (term) => searchIndex.search(term, {
-        fields: {
-            qualname: {boost: 4},
-            fullname: {boost: 2},
-            annotation: {boost: 2},
-            default_value: {boost: 2},
-            signature: {boost: 2},
-            bases: {boost: 2},
-            doc: {boost: 1},
-        },
-        expand: true
-    });
-})();
\ No newline at end of file
diff --git a/docs/sidebar.yaml b/docs/sidebar.yaml
index 9cbbcf84..97b9b256 100644
--- a/docs/sidebar.yaml
+++ b/docs/sidebar.yaml
@@ -60,7 +60,7 @@
     </svg>
 
 - title: API Reference
-  link: reference.html
+  link: vanna.html
   svg_text: |-
     <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 20 16">
     <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 4 1 8l4 4m10-8 4 4-4 4M11 1 9 15"/>
diff --git a/docs/slides.html b/docs/slides.html
deleted file mode 100644
index ee93ea1d..00000000
--- a/docs/slides.html
+++ /dev/null
@@ -1,63 +0,0 @@
-<!DOCTYPE html><html lang="en-US"><head><meta charset="UTF-8"><meta name="viewport" content="width=device-width,height=device-height,initial-scale=1.0"><meta name="apple-mobile-web-app-capable" content="yes"><meta http-equiv="X-UA-Compatible" content="ie=edge"><meta property="og:type" content="website"><meta name="twitter:card" content="summary"><style>@media screen{body[data-bespoke-view=""] .bespoke-marp-parent>.bespoke-marp-osc>button,body[data-bespoke-view=next] .bespoke-marp-parent>.bespoke-marp-osc>button,body[data-bespoke-view=presenter] .bespoke-marp-presenter-container .bespoke-marp-presenter-info-container button,body[data-bespoke-view=presenter] .bespoke-marp-presenter-container .bespoke-marp-presenter-note-container button{-webkit-tap-highlight-color:transparent;-webkit-appearance:none;appearance:none;background-color:transparent;border:0;color:inherit;cursor:pointer;font-size:inherit;opacity:.8;outline:none;padding:0;transition:opacity .2s linear}body[data-bespoke-view=""] .bespoke-marp-parent>.bespoke-marp-osc>button:disabled,body[data-bespoke-view=next] .bespoke-marp-parent>.bespoke-marp-osc>button:disabled,body[data-bespoke-view=presenter] .bespoke-marp-presenter-container .bespoke-marp-presenter-info-container button:disabled,body[data-bespoke-view=presenter] .bespoke-marp-presenter-container .bespoke-marp-presenter-note-container button:disabled{cursor:not-allowed;opacity:.15!important}body[data-bespoke-view=""] .bespoke-marp-parent>.bespoke-marp-osc>button:hover,body[data-bespoke-view=next] .bespoke-marp-parent>.bespoke-marp-osc>button:hover,body[data-bespoke-view=presenter] .bespoke-marp-presenter-container .bespoke-marp-presenter-info-container button:hover,body[data-bespoke-view=presenter] .bespoke-marp-presenter-container .bespoke-marp-presenter-note-container button:hover{opacity:1}body[data-bespoke-view=""] .bespoke-marp-parent>.bespoke-marp-osc>button:hover:active,body[data-bespoke-view=next] 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url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAxMDAgMTAwIj48ZGVmcz48c3R5bGU+LmF7ZmlsbDpub25lO3N0cm9rZTojZmZmO3N0cm9rZS1saW5lY2FwOnJvdW5kO3N0cm9rZS1saW5lam9pbjpyb3VuZDtzdHJva2Utd2lkdGg6NXB4fTwvc3R5bGU+PC9kZWZzPjxyZWN0IHdpZHRoPSI4MCIgaGVpZ2h0PSI2MCIgeD0iMTAiIHk9IjIwIiBjbGFzcz0iYSIgcng9IjUuNjciLz48cGF0aCBkPSJNNDAgNzBIMjBWNTBtMjAgMEwyMCA3MG00MC00MGgyMHYyMG0tMjAgMCAyMC0yMCIgY2xhc3M9ImEiLz48L3N2Zz4=") no-repeat 50%;background-size:contain;overflow:hidden;text-indent:100%;white-space:nowrap}body[data-bespoke-view=""] .bespoke-marp-parent>.bespoke-marp-osc>button.exit[data-bespoke-marp-osc=fullscreen],body[data-bespoke-view=next] .bespoke-marp-parent>.bespoke-marp-osc>button.exit[data-bespoke-marp-osc=fullscreen]{background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAxMDAgMTAwIj48ZGVmcz48c3R5bGU+LmF7ZmlsbDpub25lO3N0cm9rZTojZmZmO3N0cm9rZS1saW5lY2FwOnJvdW5kO3N0cm9rZS1saW5lam9pbjpyb3VuZDtzdHJva2Utd2lkdGg6NXB4fTwvc3R5bGU+PC9kZWZzPjxyZWN0IHdpZHRoPSI4MCIgaGVpZ2h0PSI2MCIgeD0iMTAiIHk9IjIwIiBjbGFzcz0iYSIgcng9IjUuNjciLz48cGF0aCBkPSJNMjAgNTBoMjB2MjBtLTIwIDAgMjAtMjBtNDAgMEg2MFYzMG0yMCAwTDYwIDUwIiBjbGFzcz0iYSIvPjwvc3ZnPg==")}body[data-bespoke-view=""] .bespoke-marp-parent>.bespoke-marp-osc>button[data-bespoke-marp-osc=presenter],body[data-bespoke-view=next] .bespoke-marp-parent>.bespoke-marp-osc>button[data-bespoke-marp-osc=presenter]{background:transparent 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tabindex="-1" title="Next slide">Next slide</button><button data-bespoke-marp-osc="fullscreen" tabindex="-1" title="Toggle fullscreen (f)">Toggle fullscreen</button><button data-bespoke-marp-osc="presenter" tabindex="-1" title="Open presenter view (p)">Open presenter view</button></div><div id=":$p"><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section data-paginate="true" data-background-color="#111827" data-color="#fff" data-header="Updated: 2023-05-22" data-class="lead" data-theme="gaia" class="lead" data-marpit-pagination="1" data-marpit-pagination-total="4" style="--paginate:true;--background-color:#111827;--color:#fff;--header:Updated: 2023-05-22;--class:lead;--theme:gaia;color:#fff;background-color:#111827;background-image:none;--marpit-advanced-background-split:40%;" data-marpit-advanced-background="background" data-marpit-advanced-background-split="left"><div data-marpit-advanced-background-container="true" data-marpit-advanced-background-direction="horizontal"><figure style="background-image:url(&quot;https://ask.vanna.ai/static/img/vanna.svg&quot;);background-size:80%;"></figure></div></section></foreignObject><foreignObject width="60%" height="720" x="40%"><section id="1" data-paginate="true" data-background-color="#111827" data-color="#fff" data-header="Updated: 2023-05-22" data-class="lead" data-theme="gaia" class="lead" data-marpit-pagination="1" data-marpit-pagination-total="4" style="--paginate:true;--background-color:#111827;--color:#fff;--header:Updated: 2023-05-22;--class:lead;--theme:gaia;color:#fff;background-color:#111827;background-image:none;--marpit-advanced-background-split:40%;" data-marpit-advanced-background="content" data-marpit-advanced-background-split="left">
-<header>Updated: 2023-05-22</header>
-
-<h1 id="vannaai"><strong>Vanna.AI</strong></h1>
-<h2 id="python-package">Python Package</h2>
-<p>For Natural Language to SQL<br />
-(and associated functionality)</p>
-<p><a href="mailto:support@vanna.ai">support@vanna.ai</a></p>
-</section>
-</foreignObject><foreignObject width="1280" height="720" data-marpit-advanced-background="pseudo"><section data-paginate="true" data-background-color="#111827" data-color="#fff" data-header="Updated: 2023-05-22" data-class="lead" data-theme="gaia" class="lead" data-marpit-pagination="1" data-marpit-pagination-total="4" style="color:#fff;" data-marpit-advanced-background="pseudo" data-marpit-advanced-background-split="left"></section></foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="2" data-paginate="true" data-background-color="#111827" data-color="#fff" data-header="Updated: 2023-05-22" data-theme="gaia" data-marpit-pagination="2" data-marpit-pagination-total="4" style="--paginate:true;--background-color:#111827;--color:#fff;--header:Updated: 2023-05-22;--theme:gaia;color:#fff;background-color:#111827;background-image:none;">
-<header>Updated: 2023-05-22</header>
-<h1 id="what-can-you-do-with-vannaai">What can you do with <strong>Vanna.AI</strong>?</h1>
-<p><strong>Vanna.AI</strong> has a Python package that allows you to convert natural language to SQL.</p>
-<pre is="marp-pre" data-auto-scaling="downscale-only"><code class="language-python"><span class="hljs-keyword">import</span> vanna <span class="hljs-keyword">as</span> vn
-
-vn.api_key = <span class="hljs-string">&#x27;vanna-key-...&#x27;</span> <span class="hljs-comment"># Set your API key</span>
-vn.set_org(<span class="hljs-string">&#x27;&#x27;</span>) <span class="hljs-comment"># Set your organization name</span>
-
-my_question = <span class="hljs-string">&#x27;What are the top 10 ABC by XYZ?&#x27;</span>
-
-sql = vn.generate_sql(question=my_question, error_msg=<span class="hljs-literal">None</span>) 
-<span class="hljs-comment"># SELECT * FROM table_name WHERE column_name = &#x27;value&#x27;</span>
-
-(my_df, error_msg) = vn.run_sql(cs: snowflake.Cursor, sql=sql)
-
-vn.generate_plotly_code(question=my_question, df=my_df)
-<span class="hljs-comment"># fig = px.bar(df, x=&#x27;column_name&#x27;, y=&#x27;column_name&#x27;)</span>
-
-vn.run_plotly_code(plotly_code=fig, df=my_df)
-
-</code></pre>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="3" data-paginate="true" data-background-color="#111827" data-color="#fff" data-header="Updated: 2023-05-22" data-theme="gaia" data-marpit-pagination="3" data-marpit-pagination-total="4" style="--paginate:true;--background-color:#111827;--color:#fff;--header:Updated: 2023-05-22;--theme:gaia;color:#fff;background-color:#111827;background-image:none;">
-<header>Updated: 2023-05-22</header>
-<h1 id="installation">Installation</h1>
-<h2 id="global-installation">Global Installation</h2>
-<pre is="marp-pre" data-auto-scaling="downscale-only"><code class="language-bash">pip install vanna
-</code></pre>
-<p>or</p>
-<pre is="marp-pre" data-auto-scaling="downscale-only"><code class="language-bash">pip3 install vanna
-</code></pre>
-<h2 id="use-a-virtual-environment">Use a Virtual Environment</h2>
-<pre is="marp-pre" data-auto-scaling="downscale-only"><code class="language-bash">python3 -m venv venv
-<span class="hljs-built_in">source</span> venv/bin/activate
-pip install vanna
-</code></pre>
-</section>
-</foreignObject></svg><svg data-marpit-svg="" viewBox="0 0 1280 720"><foreignObject width="1280" height="720"><section id="4" data-paginate="true" data-background-color="#111827" data-color="#fff" data-header="Updated: 2023-05-22" data-theme="gaia" data-marpit-pagination="4" data-marpit-pagination-total="4" style="--paginate:true;--background-color:#111827;--color:#fff;--header:Updated: 2023-05-22;--theme:gaia;color:#fff;background-color:#111827;background-image:none;">
-<header>Updated: 2023-05-22</header>
-</section>
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-            <h2>Contents</h2>
-            <ul>
-  <li><a href="#what-is-vannaai">What is Vanna.AI?</a></li>
-  <li><a href="#how-do-i-use-vannaai">How do I use Vanna.AI?</a></li>
-  <li><a href="#how-does-vannaai-work">How does Vanna.AI work?</a></li>
-  <li><a href="#getting-started">Getting Started</a>
-  <ul>
-    <li><a href="#how-do-i-import-the-vannaai-library">How do I import the Vanna.AI library?</a></li>
-    <li><a href="#how-do-i-set-my-api-key">How do I set my API key?</a></li>
-    <li><a href="#how-do-i-set-my-organization-name">How do I set my organization name?</a></li>
-    <li><a href="#how-do-i-train-vannaai-on-my-data">How do I train Vanna.AI on my data?</a></li>
-    <li><a href="#how-do-i-ask-questions-about-my-data">How do I ask questions about my data?</a></li>
-    <li><a href="#full-example">Full Example</a></li>
-  </ul></li>
-  <li><a href="#api-reference">API Reference</a></li>
-</ul>
-
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-            <h2>Submodules</h2>
-            <ul>
-                    <li><a href="vanna/types.html">types</a></li>
-            </ul>
-
-            <h2>API Documentation</h2>
-                <ul class="memberlist">
-            <li>
-                    <a class="variable" href="#api_key">api_key</a>
-            </li>
-            <li>
-                    <a class="function" href="#set_org">set_org</a>
-            </li>
-            <li>
-                    <a class="function" href="#store_sql">store_sql</a>
-            </li>
-            <li>
-                    <a class="function" href="#flag_sql_for_review">flag_sql_for_review</a>
-            </li>
-            <li>
-                    <a class="function" href="#remove_sql">remove_sql</a>
-            </li>
-            <li>
-                    <a class="function" href="#generate_sql">generate_sql</a>
-            </li>
-            <li>
-                    <a class="function" href="#generate_plotly_code">generate_plotly_code</a>
-            </li>
-            <li>
-                    <a class="function" href="#get_plotly_figure">get_plotly_figure</a>
-            </li>
-            <li>
-                    <a class="function" href="#get_results">get_results</a>
-            </li>
-            <li>
-                    <a class="function" href="#generate_explanation">generate_explanation</a>
-            </li>
-            <li>
-                    <a class="function" href="#generate_question">generate_question</a>
-            </li>
-            <li>
-                    <a class="function" href="#get_flagged_questions">get_flagged_questions</a>
-            </li>
-            <li>
-                    <a class="function" href="#get_accuracy_stats">get_accuracy_stats</a>
-            </li>
-    </ul>
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-        </a>
-</div>
-    </nav>
-    <main class="pdoc">
-            <section class="module-info">
-                    <h1 class="modulename">
-vanna    </h1>
-
-                        <div class="docstring"><h1 id="what-is-vannaai">What is Vanna.AI?</h1>
-
-<p>Vanna.AI is a platform that allows you to ask questions about your data in plain English. It is an AI-powered data analyst that can answer questions about your data, generate SQL, and create visualizations.</p>
-
-<h1 id="how-do-i-use-vannaai">How do I use Vanna.AI?</h1>
-
-<ul>
-<li>Import the Vanna.AI library</li>
-<li>Set your API key</li>
-<li>Set your organization name</li>
-<li>Train Vanna.AI on your data</li>
-<li>Ask questions about your data</li>
-</ul>
-
-<h1 id="how-does-vannaai-work">How does Vanna.AI work?</h1>
-
-<pre class="mermaid-pre"><div class="mermaid">flowchart TD
-    DB[(Known Correct Question-SQL)]
-    Try[Try to Use DDL/Documentation]
-    SQL(SQL)
-    Check{Is the SQL correct?}
-    Generate[fa:fa-circle-question Use Examples to Generate]
-    DB --&gt; Find
-    Question[fa:fa-circle-question Question] --&gt; Find{fa:fa-magnifying-glass Do we have similar questions?}
-    Find -- Yes --&gt; Generate
-    Find -- No --&gt; Try
-    Generate --&gt; SQL
-    Try --&gt; SQL
-    SQL --&gt; Check
-    Check -- Yes --&gt; DB
-    Check -- No --&gt; Analyst[fa:fa-glasses Analyst Writes the SQL]
-    Analyst -- Adds --&gt; DB
-</div></pre>
-
-<h1 id="getting-started">Getting Started</h1>
-
-<h2 id="how-do-i-import-the-vannaai-library">How do I import the Vanna.AI library?</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="kn">import</span> <span class="nn">vanna</span> <span class="k">as</span> <span class="nn">vn</span>
-</code></pre>
-</div>
-
-<h2 id="how-do-i-set-my-api-key">How do I set my API key?</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="n">vn</span><span class="o">.</span><span class="n">api_key</span> <span class="o">=</span> <span class="s1">&#39;vanna-key-...&#39;</span>
-</code></pre>
-</div>
-
-<h2 id="how-do-i-set-my-organization-name">How do I set my organization name?</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="n">vn</span><span class="o">.</span><span class="n">set_org</span><span class="p">(</span><span class="s1">&#39;my_org&#39;</span><span class="p">)</span>
-</code></pre>
-</div>
-
-<h2 id="how-do-i-train-vannaai-on-my-data">How do I train Vanna.AI on my data?</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="n">vn</span><span class="o">.</span><span class="n">store_sql</span><span class="p">(</span>
-    <span class="n">question</span><span class="o">=</span><span class="s2">&quot;Who are the top 10 customers by Sales?&quot;</span><span class="p">,</span> 
-    <span class="n">sql</span><span class="o">=</span><span class="s2">&quot;SELECT customer_name, sales FROM customers ORDER BY sales DESC LIMIT 10&quot;</span>
-<span class="p">)</span>
-</code></pre>
-</div>
-
-<h2 id="how-do-i-ask-questions-about-my-data">How do I ask questions about my data?</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="n">my_question</span> <span class="o">=</span> <span class="s1">&#39;What are the top 10 ABC by XYZ?&#39;</span>
-
-<span class="n">sql</span> <span class="o">=</span> <span class="n">vn</span><span class="o">.</span><span class="n">generate_sql</span><span class="p">(</span><span class="n">question</span><span class="o">=</span><span class="n">my_question</span><span class="p">,</span> <span class="n">error_msg</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span>
-<span class="c1"># SELECT * FROM table_name WHERE column_name = &#39;value&#39;</span>
-</code></pre>
-</div>
-
-<h2 id="full-example">Full Example</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="kn">import</span> <span class="nn">vanna</span> <span class="k">as</span> <span class="nn">vn</span>
-
-<span class="n">vn</span><span class="o">.</span><span class="n">api_key</span> <span class="o">=</span> <span class="s1">&#39;vanna-key-...&#39;</span> <span class="c1"># Set your API key</span>
-<span class="n">vn</span><span class="o">.</span><span class="n">set_org</span><span class="p">(</span><span class="s1">&#39;&#39;</span><span class="p">)</span> <span class="c1"># Set your organization name</span>
-
-<span class="c1"># Train Vanna.AI on your data</span>
-<span class="n">vn</span><span class="o">.</span><span class="n">store_sql</span><span class="p">(</span>
-    <span class="n">question</span><span class="o">=</span><span class="s2">&quot;Who are the top 10 customers by Sales?&quot;</span><span class="p">,</span> 
-    <span class="n">sql</span><span class="o">=</span><span class="s2">&quot;SELECT customer_name, sales FROM customers ORDER BY sales DESC LIMIT 10&quot;</span>
-<span class="p">)</span>
-
-<span class="c1"># Ask questions about your data</span>
-<span class="n">my_question</span> <span class="o">=</span> <span class="s1">&#39;What are the top 10 ABC by XYZ?&#39;</span>
-
-<span class="c1"># Generate SQL</span>
-<span class="n">sql</span> <span class="o">=</span> <span class="n">vn</span><span class="o">.</span><span class="n">generate_sql</span><span class="p">(</span><span class="n">question</span><span class="o">=</span><span class="n">my_question</span><span class="p">,</span> <span class="n">error_msg</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span> 
-
-<span class="c1"># Connect to your database</span>
-<span class="n">conn</span> <span class="o">=</span> <span class="n">snowflake</span><span class="o">.</span><span class="n">connector</span><span class="o">.</span><span class="n">connect</span><span class="p">(</span>
-        <span class="n">user</span><span class="o">=</span><span class="s1">&#39;my_user&#39;</span><span class="p">,</span>
-        <span class="n">password</span><span class="o">=</span><span class="s1">&#39;my_password&#39;</span><span class="p">,</span>
-        <span class="n">account</span><span class="o">=</span><span class="s1">&#39;my_account&#39;</span><span class="p">,</span>
-        <span class="n">database</span><span class="o">=</span><span class="s1">&#39;my_database&#39;</span><span class="p">,</span>
-    <span class="p">)</span>
-
-<span class="n">cs</span> <span class="o">=</span> <span class="n">conn</span><span class="o">.</span><span class="n">cursor</span><span class="p">()</span>
-
-<span class="c1"># Get results</span>
-<span class="n">df</span> <span class="o">=</span> <span class="n">vn</span><span class="o">.</span><span class="n">get_results</span><span class="p">(</span>
-    <span class="n">cs</span><span class="o">=</span><span class="n">cs</span><span class="p">,</span> 
-    <span class="n">default_db</span><span class="o">=</span><span class="n">my_default_db</span><span class="p">,</span> 
-    <span class="n">sql</span><span class="o">=</span><span class="n">sql</span>
-    <span class="p">)</span>
-
-<span class="c1"># Generate Plotly code</span>
-<span class="n">plotly_code</span> <span class="o">=</span> <span class="n">vn</span><span class="o">.</span><span class="n">generate_plotly_code</span><span class="p">(</span>
-    <span class="n">question</span><span class="o">=</span><span class="n">my_question</span><span class="p">,</span> 
-    <span class="n">sql</span><span class="o">=</span><span class="n">sql</span><span class="p">,</span> 
-    <span class="n">df</span><span class="o">=</span><span class="n">df</span>
-    <span class="p">)</span>
-
-<span class="c1"># Get Plotly figure</span>
-<span class="n">fig</span> <span class="o">=</span> <span class="n">vn</span><span class="o">.</span><span class="n">get_plotly_figure</span><span class="p">(</span>
-    <span class="n">plotly_code</span><span class="o">=</span><span class="n">plotly_code</span><span class="p">,</span> 
-    <span class="n">df</span><span class="o">=</span><span class="n">df</span>
-    <span class="p">)</span>
-</code></pre>
-</div>
-
-<h1 id="api-reference">API Reference</h1>
-</div>
-
-                
-                
-                
-            </section>
-                <section id="api_key">
-                    <div class="attr variable">
-            <span class="name">api_key</span><span class="annotation">: Optional[str]</span>        =
-<span class="default_value">None</span>
-
-        
-    </div>
-    <a class="headerlink" href="#api_key"></a>
-    
-    
-
-                </section>
-                <section id="set_org">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">set_org</span><span class="signature pdoc-code condensed">(<span class="param"><span class="n">org</span><span class="p">:</span> <span class="nb">str</span></span><span class="return-annotation">) -> <span class="kc">None</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#set_org"></a>
-    
-            <div class="docstring"><p>Set the organization name for the Vanna.AI API.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>org (str):</strong>  The organization name.</li>
-</ul>
-</div>
-
-
-                </section>
-                <section id="store_sql">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">store_sql</span><span class="signature pdoc-code condensed">(<span class="param"><span class="n">question</span><span class="p">:</span> <span class="nb">str</span>, </span><span class="param"><span class="n">sql</span><span class="p">:</span> <span class="nb">str</span></span><span class="return-annotation">) -> <span class="nb">bool</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#store_sql"></a>
-    
-            <div class="docstring"><p>Store a question and its corresponding SQL query in the Vanna.AI database.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>question (str):</strong>  The question to store.</li>
-<li><strong>sql (str):</strong>  The SQL query to store.</li>
-</ul>
-</div>
-
-
-                </section>
-                <section id="flag_sql_for_review">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">flag_sql_for_review</span><span class="signature pdoc-code multiline">(<span class="param">	<span class="n">question</span><span class="p">:</span> <span class="nb">str</span>,</span><span class="param">	<span class="n">sql</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>,</span><span class="param">	<span class="n">error_msg</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span></span><span class="return-annotation">) -> <span class="nb">bool</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#flag_sql_for_review"></a>
-    
-            <div class="docstring"><p>Flag a question and its corresponding SQL query for review by the Vanna.AI team.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>question (str):</strong>  The question to flag.</li>
-<li><strong>sql (str):</strong>  The SQL query to flag.</li>
-<li><strong>error_msg (str):</strong>  The error message to flag.</li>
-</ul>
-
-<h6 id="returns">Returns:</h6>
-
-<blockquote>
-  <p>bool: True if the question and SQL query were flagged successfully, False otherwise.</p>
-</blockquote>
-</div>
-
-
-                </section>
-                <section id="remove_sql">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">remove_sql</span><span class="signature pdoc-code condensed">(<span class="param"><span class="n">question</span><span class="p">:</span> <span class="nb">str</span></span><span class="return-annotation">) -> <span class="nb">bool</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#remove_sql"></a>
-    
-            <div class="docstring"><p>Remove a question and its corresponding SQL query from the Vanna.AI database.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>question (str):</strong>  The question to remove.</li>
-</ul>
-</div>
-
-
-                </section>
-                <section id="generate_sql">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">generate_sql</span><span class="signature pdoc-code condensed">(<span class="param"><span class="n">question</span><span class="p">:</span> <span class="nb">str</span></span><span class="return-annotation">) -> <span class="nb">str</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#generate_sql"></a>
-    
-            <div class="docstring"><p>Generate an SQL query using the Vanna.AI API.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>question (str):</strong>  The question to generate an SQL query for.</li>
-</ul>
-
-<h6 id="returns">Returns:</h6>
-
-<blockquote>
-  <p>str or None: The SQL query, or None if an error occurred.</p>
-</blockquote>
-</div>
-
-
-                </section>
-                <section id="generate_plotly_code">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">generate_plotly_code</span><span class="signature pdoc-code multiline">(<span class="param">	<span class="n">question</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span>,</span><span class="param">	<span class="n">sql</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span>,</span><span class="param">	<span class="n">df</span><span class="p">:</span> <span class="n">pandas</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">frame</span><span class="o">.</span><span class="n">DataFrame</span></span><span class="return-annotation">) -> <span class="nb">str</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#generate_plotly_code"></a>
-    
-            <div class="docstring"><p>Generate Plotly code using the Vanna.AI API.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>question (str):</strong>  The question to generate Plotly code for.</li>
-<li><strong>sql (str):</strong>  The SQL query to generate Plotly code for.</li>
-<li><strong>df (pd.DataFrame):</strong>  The dataframe to generate Plotly code for.</li>
-</ul>
-
-<h6 id="returns">Returns:</h6>
-
-<blockquote>
-  <p>str or None: The Plotly code, or None if an error occurred.</p>
-</blockquote>
-</div>
-
-
-                </section>
-                <section id="get_plotly_figure">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">get_plotly_figure</span><span class="signature pdoc-code multiline">(<span class="param">	<span class="n">plotly_code</span><span class="p">:</span> <span class="nb">str</span>,</span><span class="param">	<span class="n">df</span><span class="p">:</span> <span class="n">pandas</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">frame</span><span class="o">.</span><span class="n">DataFrame</span>,</span><span class="param">	<span class="n">dark_mode</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span></span><span class="return-annotation">) -> <span class="n">plotly</span><span class="o">.</span><span class="n">graph_objs</span><span class="o">.</span><span class="n">_figure</span><span class="o">.</span><span class="n">Figure</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#get_plotly_figure"></a>
-    
-            <div class="docstring"><p>Get a Plotly figure from a dataframe and Plotly code.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>df (pd.DataFrame):</strong>  The dataframe to use.</li>
-<li><strong>plotly_code (str):</strong>  The Plotly code to use.</li>
-</ul>
-
-<h6 id="returns">Returns:</h6>
-
-<blockquote>
-  <p>plotly.graph_objs.Figure: The Plotly figure.</p>
-</blockquote>
-</div>
-
-
-                </section>
-                <section id="get_results">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">get_results</span><span class="signature pdoc-code condensed">(<span class="param"><span class="n">cs</span>, </span><span class="param"><span class="n">default_database</span><span class="p">:</span> <span class="nb">str</span>, </span><span class="param"><span class="n">sql</span><span class="p">:</span> <span class="nb">str</span></span><span class="return-annotation">) -> <span class="n">pandas</span><span class="o">.</span><span class="n">core</span><span class="o">.</span><span class="n">frame</span><span class="o">.</span><span class="n">DataFrame</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#get_results"></a>
-    
-            <div class="docstring"><p>Run the SQL query and return the results as a pandas dataframe.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>cs:</strong>  Snowflake connection cursor.</li>
-<li><strong>default_database (str):</strong>  The default database to use.</li>
-<li><strong>sql (str):</strong>  The SQL query to execute.</li>
-</ul>
-
-<h6 id="returns">Returns:</h6>
-
-<blockquote>
-  <p>pd.DataFrame: The results of the SQL query.</p>
-</blockquote>
-</div>
-
-
-                </section>
-                <section id="generate_explanation">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">generate_explanation</span><span class="signature pdoc-code condensed">(<span class="param"><span class="n">sql</span><span class="p">:</span> <span class="nb">str</span></span><span class="return-annotation">) -> <span class="nb">str</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#generate_explanation"></a>
-    
-            <div class="docstring"><h2 id="example">Example</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="n">vn</span><span class="o">.</span><span class="n">generate_explanation</span><span class="p">(</span><span class="n">sql</span><span class="o">=</span><span class="s2">&quot;SELECT * FROM students WHERE name = &#39;John Doe&#39;&quot;</span><span class="p">)</span>
-<span class="c1"># &#39;AI Response&#39;</span>
-</code></pre>
-</div>
-
-<p>Generate an explanation of an SQL query using the Vanna.AI API.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>sql (str):</strong>  The SQL query to generate an explanation for.</li>
-</ul>
-
-<h6 id="returns">Returns:</h6>
-
-<blockquote>
-  <p>str or None: The explanation, or None if an error occurred.</p>
-</blockquote>
-</div>
-
-
-                </section>
-                <section id="generate_question">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">generate_question</span><span class="signature pdoc-code condensed">(<span class="param"><span class="n">sql</span><span class="p">:</span> <span class="nb">str</span></span><span class="return-annotation">) -> <span class="nb">str</span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#generate_question"></a>
-    
-            <div class="docstring"><h2 id="example">Example</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="n">vn</span><span class="o">.</span><span class="n">generate_question</span><span class="p">(</span><span class="n">sql</span><span class="o">=</span><span class="s2">&quot;SELECT * FROM students WHERE name = &#39;John Doe&#39;&quot;</span><span class="p">)</span>
-<span class="c1"># &#39;AI Response&#39;</span>
-</code></pre>
-</div>
-
-<p>Generate a question from an SQL query using the Vanna.AI API.</p>
-
-<h6 id="arguments">Arguments:</h6>
-
-<ul>
-<li><strong>sql (str):</strong>  The SQL query to generate a question for.</li>
-</ul>
-
-<h6 id="returns">Returns:</h6>
-
-<blockquote>
-  <p>str or None: The question, or None if an error occurred.</p>
-</blockquote>
-</div>
-
-
-                </section>
-                <section id="get_flagged_questions">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">get_flagged_questions</span><span class="signature pdoc-code condensed">(<span class="return-annotation">) -> <span class="n"><a href="vanna/types.html#QuestionList">vanna.types.QuestionList</a></span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#get_flagged_questions"></a>
-    
-            <div class="docstring"><h2 id="example">Example</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="n">vn</span><span class="o">.</span><span class="n">get_flagged_questions</span><span class="p">()</span>
-<span class="c1"># [FullQuestionDocument(...), ...]</span>
-</code></pre>
-</div>
-
-<p>Get a list of flagged questions from the Vanna.AI API.</p>
-
-<h6 id="returns">Returns:</h6>
-
-<blockquote>
-  <p>List[FullQuestionDocument] or None: The list of flagged questions, or None if an error occurred.</p>
-</blockquote>
-</div>
-
-
-                </section>
-                <section id="get_accuracy_stats">
-                    <div class="attr function">
-            
-        <span class="def">def</span>
-        <span class="name">get_accuracy_stats</span><span class="signature pdoc-code condensed">(<span class="return-annotation">) -> <span class="n"><a href="vanna/types.html#AccuracyStats">vanna.types.AccuracyStats</a></span>:</span></span>
-
-        
-    </div>
-    <a class="headerlink" href="#get_accuracy_stats"></a>
-    
-            <div class="docstring"><h2 id="example">Example</h2>
-
-<div class="pdoc-code codehilite">
-<pre><span></span><code><span class="n">vn</span><span class="o">.</span><span class="n">get_accuracy_stats</span><span class="p">()</span>
-<span class="c1"># {&#39;accuracy&#39;: 0.0, &#39;total&#39;: 0, &#39;correct&#39;: 0}</span>
-</code></pre>
-</div>
-
-<p>Get the accuracy statistics from the Vanna.AI API.</p>
-
-<h6 id="returns">Returns:</h6>
-
-<blockquote>
-  <p>dict or None: The accuracy statistics, or None if an error occurred.</p>
-</blockquote>
-</div>
-
-
-                </section>
-    </main>
-<script>
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From 529a0f746e911bc2ed88dbfb52b9db38599c497e Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 09:52:09 -0400
Subject: [PATCH 07/14] version

---
 .github/workflows/tests.yml | 1 -
 pyproject.toml              | 2 +-
 2 files changed, 1 insertion(+), 2 deletions(-)

diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 47d58488..a1483f25 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -4,7 +4,6 @@
 name: Python tests
 
 on:
-  push: {}
   pull_request: {}
 
 permissions:
diff --git a/pyproject.toml b/pyproject.toml
index ce5084e2..62f07d01 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "vanna"
-version = "0.0.17"
+version = "0.0.18"
 authors = [
   { name="Zain Hoda", email="zain@vanna.ai" },
 ]

From ab54ff693a525fae9d2225ce8813211aecf7b877 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 09:54:53 -0400
Subject: [PATCH 08/14] rename workflow

---
 .github/workflows/tests.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index a1483f25..e2638a50 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -1,7 +1,7 @@
 # This workflow will install Python dependencies, run tests and lint with a single version of Python
 # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
 
-name: Python tests
+name: Integration Test using Debug Server
 
 on:
   pull_request: {}

From c36cdaa7244310801f0e2dd6d42688201c7ab4a0 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 09:59:03 -0400
Subject: [PATCH 09/14] add index

---
 .gitignore        |  1 +
 docs/index.ipynb  | 65 +++++++++++++++++++++++++++++++++++++++++++++++
 docs/sidebar.yaml |  2 +-
 3 files changed, 67 insertions(+), 1 deletion(-)
 create mode 100644 docs/index.ipynb

diff --git a/.gitignore b/.gitignore
index 70908fc9..e3accafd 100644
--- a/.gitignore
+++ b/.gitignore
@@ -6,3 +6,4 @@ notebooks/.ipynb_checkpoints
 tests/__pycache__
 __pycache__/
 .idea
+docs/*.html
diff --git a/docs/index.ipynb b/docs/index.ipynb
new file mode 100644
index 00000000..a101027f
--- /dev/null
+++ b/docs/index.ipynb
@@ -0,0 +1,65 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Vanna.AI - Personalized AI SQL Agent"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<video loop autoplay muted controls>\n",
+    "    <source src=\"https://github.com/vanna-ai/vanna-py/assets/7146154/61f5f0bf-ce03-47e2-ab95-0750b8df7b6f\">\n",
+    "</video>"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## How Vanna works\n",
+    "Vanna works in two easy steps - train a model on your data, and then ask questions.\n",
+    "\n",
+    "1. **Train a model on your data**. \n",
+    "2. **Ask questions**.\n",
+    "\n",
+    "When you ask a question, we utilize a custom model for your dataset to generate SQL, as seen below. Your model performance and accuracy depends on the quality and quantity of training data you use to train your model. \n",
+    "<img width=\"1725\" alt=\"how-vanna-works\" src=\"https://github.com/vanna-ai/vanna-py/assets/7146154/5e2e2179-ed7a-4df4-92a2-1c017923a675\">"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/sidebar.yaml b/docs/sidebar.yaml
index 97b9b256..cc172714 100644
--- a/docs/sidebar.yaml
+++ b/docs/sidebar.yaml
@@ -1,5 +1,5 @@
 - title: How It Works
-  link: /how
+  link: index.html
   svg_text: |-
     <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" width="14" height="20" fill="none" viewBox="0 0 14 20">
     <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 7a3 3 0 0 1 3-3M5 19h4m0-3c0-4.1 4-4.9 4-9A6 6 0 1 0 1 7c0 4 4 5 4 9h4Z"/>

From 7c2812596c3b4e87528244ddd9b2c54a83f1d3a4 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 10:12:56 -0400
Subject: [PATCH 10/14] move directories

---
 .github/workflows/ci.yml        |   2 +-
 docs/sidebar.py                 |   4 +-
 docs/vn-ask.ipynb               | 572 --------------------------------
 {docs => notebooks}/index.ipynb |   0
 notebooks/streamlit.ipynb       |  30 ++
 5 files changed, 34 insertions(+), 574 deletions(-)
 delete mode 100644 docs/vn-ask.ipynb
 rename {docs => notebooks}/index.ipynb (100%)
 create mode 100644 notebooks/streamlit.ipynb

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 3e74dd75..2f17c92c 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -27,5 +27,5 @@ jobs:
       - run: pip install pdoc
       - run: pip install .
       - run: pdoc vanna --logo https://img.vanna.ai/vanna-ref.svg --logo-link https://docs.vanna.ai --no-show-source --mermaid --docformat google -n -o docs
-      - run: python docs/sidebar.py docs/sidebar.yaml docs
+      - run: python docs/sidebar.py docs/sidebar.yaml notebooks docs
       - run: ghp-import -n -p -f docs
diff --git a/docs/sidebar.py b/docs/sidebar.py
index 367d962e..0f6d4301 100644
--- a/docs/sidebar.py
+++ b/docs/sidebar.py
@@ -9,6 +9,8 @@
 # Get the directory to search for the .ipynb files from the command line
 notebook_dir = sys.argv[2]
 
+# Get the output directory from the command line
+output_dir = sys.argv[3]
 
 def generate_html(sidebar_data, current_path: str):
     html = '<ul class="space-y-2">\n'
@@ -72,6 +74,6 @@ def read_yaml_file(file_path):
     (body, resources) = html_exporter.from_notebook_node(current_notebook)
 
     # Write body to file
-    with open(os.path.join(notebook_dir, f'{notebook_name}.html'), 'w') as file:
+    with open(os.path.join(output_dir, f'{notebook_name}.html'), 'w') as file:
         file.write(body.replace('<!-- NAV HERE -->', html_code))
 
diff --git a/docs/vn-ask.ipynb b/docs/vn-ask.ipynb
deleted file mode 100644
index 618aa3b6..00000000
--- a/docs/vn-ask.ipynb
+++ /dev/null
@@ -1,572 +0,0 @@
-{
- "cells": [
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![Vanna AI](https://img.vanna.ai/vanna-ask.svg)\n",
-    "\n",
-    "The following notebook goes through the process of asking questions from your data using Vanna AI. Here we use a demo model that is pre-trained on the [TPC-H dataset](https://docs.snowflake.com/en/user-guide/sample-data-tpch.html) that is available in Snowflake.\n",
-    "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-ask.ipynb)\n",
-    "\n",
-    "[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-ask.ipynb)\n",
-    "\n",
-    "# Install Vanna\n",
-    "First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it.\n",
-    "Here, we'll also install the Snowflake connector. If you're using a different database, you'll need to install the appropriate connector."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%pip install vanna\n",
-    "%pip install snowflake-connector-python"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import vanna as vn\n",
-    "import snowflake.connector"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Login\n",
-    "Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "api_key = vn.get_api_key('my-email@example.com')\n",
-    "vn.set_api_key(api_key)"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Set your Model\n",
-    "You need to choose a globally unique model name. Try using your company name or another unique string. All data from models are isolated - there's no leakage."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "vn.set_model('tpc') # Enter your model name here. This is a globally unique identifier for your model."
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Set Database Connection\n",
-    "These details are only referenced within your notebook. These database credentials are never sent to Vanna's severs."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "vn.connect_to_snowflake(account='my-account', username='my-username', password='my-password', database='my-database')"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Get Results\n",
-    "This gets the SQL, gets the dataframe, and prints them both. Note that we use your connection string to execute the SQL on your warehouse from your local instance. Your connection nor your data gets sent to Vanna's servers. For more info on how Vanna works, [see this post](https://medium.com/vanna-ai/how-vanna-works-how-to-train-it-data-security-8d8f2008042)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "SELECT c.c_name as customer_name,\n",
-      "       sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales\n",
-      "FROM   snowflake_sample_data.tpch_sf1.lineitem l join snowflake_sample_data.tpch_sf1.orders o\n",
-      "        ON l.l_orderkey = o.o_orderkey join snowflake_sample_data.tpch_sf1.customer c\n",
-      "        ON o.o_custkey = c.c_custkey\n",
-      "GROUP BY customer_name\n",
-      "ORDER BY total_sales desc limit 10;\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>CUSTOMER_NAME</th>\n",
-       "      <th>TOTAL_SALES</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Customer#000143500</td>\n",
-       "      <td>6757566.0218</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Customer#000095257</td>\n",
-       "      <td>6294115.3340</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Customer#000087115</td>\n",
-       "      <td>6184649.5176</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Customer#000131113</td>\n",
-       "      <td>6080943.8305</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Customer#000134380</td>\n",
-       "      <td>6075141.9635</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>Customer#000103834</td>\n",
-       "      <td>6059770.3232</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>Customer#000069682</td>\n",
-       "      <td>6057779.0348</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>Customer#000102022</td>\n",
-       "      <td>6039653.6335</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>Customer#000098587</td>\n",
-       "      <td>6027021.5855</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>Customer#000064660</td>\n",
-       "      <td>5905659.6159</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        CUSTOMER_NAME   TOTAL_SALES\n",
-       "0  Customer#000143500  6757566.0218\n",
-       "1  Customer#000095257  6294115.3340\n",
-       "2  Customer#000087115  6184649.5176\n",
-       "3  Customer#000131113  6080943.8305\n",
-       "4  Customer#000134380  6075141.9635\n",
-       "5  Customer#000103834  6059770.3232\n",
-       "6  Customer#000069682  6057779.0348\n",
-       "7  Customer#000102022  6039653.6335\n",
-       "8  Customer#000098587  6027021.5855\n",
-       "9  Customer#000064660  5905659.6159"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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CBAgQIECAAAECBAgQIECAAAECSQI+wZsE2+bYb3/nu+W5O+/Sv4V3vuOt5cc/OrP/z4//BG/vZ4sXL+5/KnfevHlL3fI+++5Xjjvh80v9zCd42/xUODsBAgQIECBAgAABAgQIECBAgEATBSx4m1iVMTzTrFlblN739Pb+3HHH7eV5O+84eJrHLnivvOLyst32O/R/d9q3v1k+8P6Dljr1hZdcUaZPX7/c/Yc/lMlTppTVV1+9WPCOYWG9NQECBAgQIECAAAECBAgQIECAwLgUsOAdl2V98jd19uz/LJtu9qx+wGsO2KdccvFFQy54Tzn562X3PfbsL3EXLlxYZs3cpCxYsKB/7c677Fq+ddrp/X/u/SVsRx59rAXvky+JVxIgQIAAAQIECBAgQIAAAQIECBBYpoAFr4djUGCPPfcqve/o7f355S9+UV6y9+5L6Tz2E7y9Be/FF11QPnviF/vXfPWkL5cjjzi8/89n/fTcMnPzzQc/sfvLG26x4PWcESBAgAABAgQIECBAgAABAgQIEEgQsOBNQG1r5GVXXlvWWWfd/vFf/KLdypw5vxx2wXv4hw8tV13zi/LUtdfuf3p35qbPKJvMmFHOnn1+/3Wf/Pgx5fMnnlAseNv6RDg3AQIECBAgQIAAAQIECBAgQIBA0wUseJteoRV0vje+6S3lY8d+sv9ul15ycfk/+7/6Ce/8+E/w9ha8b3rzW8vRx3yif+3xx3267LTTc/t/QduDDz5Ynv2sZ5YlS5YMu+Cdut6MFXSH3oYAAQIECBAgQIAAAQIECBAYK4H/+e1NY/XW3pfAuBew4B33JR75BgcGBsr1c24ukydP7i9kd33uDuU3v7lzVAve3kW9106ZMqX/XbwTJ04svbwTP3d8+dQnju1nDPcJ3nU32XbkA7qCAAECBAgQIECAAAECBAgQaLXA72++qtXnd3gCTRaw4G1ydVbQ2T58+EfLge96b//dfnLWj8o73vbmId95qE/w9i486H2HlIPf94HB1zz88MNl8802LosWLRpxwbvyalNW0F16GwIECBAgQIAAAQIECBAgQGCsBB7+4wNj9dbel8C4F7DgHfclHv4Ge5/avea/flUmTZpUFi9eXLbZcmb/L0cb6s+yFrwTJkwoc268tayyyir9l516yjfKYR/688LXd/B2/CFz+wQIECBAgAABAgQIECBAgAABAmkCFrxptO0IPuFzXyivevU+/cN++1v/Wg495OBlHnxZC97eC3rf39v7Ht/ekniLzWeU+fPnD+ZY8LbjWXBKAgQIECBAgAABAgQIECBAgACB9glY8LavZmEnnjZtvXLRpVf2vzO397UKvcXsggULntSCt/fp3Rfutke563e/Lddee81SGRa8YSUTRIAAAQIECBAgQIAAAQIECBAgQGApAQveDj8Q3/7Od8tzd96lL/DYvxRtWSTDfYJ3OEYL3g4/ZG6dAAECBAgQIECAAAECBAgQIEAgVcCCN5W3ueGzZm1RfnjWz/oH7H2dwqyZm5QlS5YMe2AL3ubW08kIECBAgAABAgQIECBAgAABAgS6KWDB2826l5+dc36Zselm/bs/+qgjyle+9IURJSx4RyRyAQECBAgQIECAAAECBAgQIECAAIEVKmDBu0K5m/FmO+70nPJvp3+vf5j/uffess1Wm4/qYGuttVa59vob+tee/I2vlY8c9sFRve7Rr2i47777ytZbPGtUr3ERAQIECBAgQIAAAQIECBAgQIAAAQIjC1jwjmzkCgIECBAgQIAAAQIECBAgQIAAAQIECDRSwIK3kWVxKAIECBAgQIAAAQIECBAgQIAAAQIECIwsYME7spErCBAgQIAAAQIECBAgQIAAAQIECBAg0EgBC95GlsWhCBAgQIAAAQIECBAgQIAAAQIECBAgMLKABe/IRq4gQIAAAQIECBAgQIAAAQIECBAgQIBAIwUseBtZFociQIAAAQIECBAgQIAAAQIECBAgQIDAyAIWvCMbuYIAAQIECBAgQIAAAQIECBAgQIAAAQKNFLDgbWRZHIoAAQIECBAgQIAAAQIECBAgQIAAAQIjC1jwjmzkCgIECBAgQIAAAQIECBAgQIAAAQIECDRSwIK3kWVxKAIECBAgQIAAAQIECBAgQIAAAQIECIwsYME7spErCBAgQIAAAQIECBAgQIAAAQIECBAg0EgBC95GlsWhCBAgQIAAAQIECBAgQIAAAQIECBAgMLKABe/IRq5oiMCSJUsacpL2HmNgYKC9h3dyAgQIECBAgAABAgQIECBAgACBJwhY8HooWiEwecozyjrTXtCKszb1kPMfuKPcc/fl5ZFF85p6ROciQIAAAQIECBAgQIAAAQIECBBYTgEL3uUEc/mKF+h9cnfq2tuUPV7+kxX/5uPoHe+45Yxy5cXvL48semAc3ZVbIUCAAAECBAgQIECAAAECBAh0W8CCt9v1b8XdW/DGlMmCN8ZRCgECBAgQIECAAAECBAgQIECgSQIWvE2qhrMMKWDBG/NgWPDGOEohQIAAAQIECBAgQIAAAQIECDRJwIK3SdVwFgvexGfAgjcRVzQBAgQIECBAgAABAgQIECBAYIwELHjHCN7bjl7AJ3hHbzXclRa8MY5SCBAgQIAAAQIECBAgQIAAAQJNErDgbVI1nGVIAQvemAfDgjfGUQoBAgQIECBAgAABAgQIECBAoEkCFrxNqoazWPAmPgMWvIm4ogkQIECAAAECBAgQIECAAAECYyRgwTtG8N529AI+wTt6q+GutOCNcZRCgAABAgQIECBAgAABAgQIEGiSgAVvk6rhLEMKWPDGPBgWvDGOUggQIECAAAECBAgQIECAAAECTRKw4G1SNZzFgjfxGbDgTcQVTYAAAQIECBAgQIAAAQIECBAYIwEL3jGC97ajF/AJ3tFbDXelBW+MoxQCBAgQIECAAAECBAgQIECAQJMELHibVA1nGVLAgjfmwbDgjXGUQoAAAQIECBAgQIAAAQIECBBokoAFb5Oq4SwWvInPgAVvIq5oAgQIECBAgAABAgQIECBAgMAYCVjwjhG8tx29gE/wjt5quCsteGMcpRAgQIAAAQIECBAgQIAAAQIEmiRgwdukajjLkAIWvDEPhgVvjKMUAgQIECBAgAABAgQIECBAgECTBCx4m1QNZ7HgTXwGLHgTcUUTIECAAAECBAgQIECAAAECBMZIwIJ3jOC97egFfIJ39FbDXWnBG+MohQABAgQIECBAgAABAgQIECDQJAEL3iZVw1mGFLDgjXkwLHhjHKUQIECAAAECBAgQIECAAAECBJokYMHbpGo4iwVv4jNgwZuIK5oAAQIECBAgQIAAAQIECBAgMEYCFrxjBO9tRy/gE7yjtxruSgveGEcpBAgQIECAAAECBAgQIECAAIEmCVjwNqkazjKkgAVvzINhwRvjKIUAAQIECBAgQIAAAQIECBAg0CQBC94mVcNZLHgTnwEL3kRc0QQIECBAgAABAgQIECBAgACBMRKw4B0jeG87egGf4B291XBXWvDGOEohQIAAAQIECBAgQIAAAQIECDRJwIK3SdVwliEFLHhjHgwL3hhHKQQIECBAgAABAgQIECBAgACBJglY8DapGs5iwZv4DFjwJuKKJkCAAAECBAgQIECAAAECBAiMkYAF7xjBe9vRC/gE7+ithrvSgjfGUQoBAgQIECBAgAABAgQIECBAoEkCFrxNqoazDClgwRvzYFjwxjhKIUCAAAECBAgQIECAAAECBAg0ScCCt0nVcBYL3sRnwII3EVc0AQIECBAgQIAAAQIECBAgQGCMBCx4xwje245ewCd4R2813JUWvDGOUggQIECAAAECBAgQIECAAAECTRKw4G1SNZxlSAEL3pgHw4I3xlEKAQIECBAgQIAAAQIECBAgQKBJAha8TaqGs1jwJj4DFryJuKIJECBAgAABAgQIECBAgAABAmMkYME7RvDedvQCPsE7eqvhrrTgjXGUQoAAAQIECBAgQIAAAQIECBBokoAFb5Oq4SxDCljwxjwYFrwxjlIIECBAgAABAgQIECBAgAABAk0SsOBtUjWcxYI38Rmw4E3EFU2AAAECBAgQIECAAAECBAgQGCMBC94xgve2oxfwCd7RWw13pQVvjKMUAgQIECBAgAABAgQIECBAgECTBCx4m1QNZxlSwII35sGw4I1xlEKAAAECBAgQIECAAAECBAgQaJKABW+TquEsFryJz4AFbyKuaAIECBAgQIAAAQIECBAgQIDAGAlY8I4RvLcdvYBP8I7eargrLXhjHKUQIECAAAECBAgQIECAAAECBJokYMHbpGo4y5ACFrwxD4YFb4yjFAIECBAgQIAAAQIECBAgQIBAkwQseJtUDWex4E18Bix4E3FFEyBAgAABAgQIECBAgAABAgTGSMCCd4zgve3oBXyCd/RWw12ZseDt1WZgYCDmgFIIECBAgAABAgQIECBAgAABAgSWW8CCd7nJvGBFC1jwxohnLHgHJqxaZm55UFlllakxh+xoyjWXHV4WL15oWd7R+rttAgQIECBAgAABAgQIECBQI2DBW6PntStEwII3hjljwTthpdXLXq86r0yesmHMITuacsap65dHHnnYgrej9XfbBAgQIECAAAECBAgQIECgRsCCt0bPa1eIgAVvDLMFb4xjRooFb4aqTAIECBAgQIAAAQIECBAg0A0BC95u1LnVd2nBG1M+C94Yx4wUC94MVZkECBAgQIAAAQIECBAgQKAbAha83ahzq+/SgjemfBa8MY4ZKRa8GaoyCRAgQIAAAQIECBAgQIBANwQseLtR51bfpQVvTPkseGMcM1IseDNUZRIgQIAAAQIECBAgQIAAgW4IWPB2o86tvksL3pjyWfDGOGakWPBmqMokQIAAAQIECBAgQIAAAQLdELDg7UadW32XFrwx5bPgjXHMSLHgzVCVSYAAAQIECBAgQIAAAQIEuiFgwduNOrf6Li14Y8pnwRvjmJFiwZuhKpMAAQIECBAgQIAAAQIECHRDwIK3G3Vu9V1a8MaUz4I3xjEjJXrB2/t3ZuWVn1LKwISM43Ymc8mSxWXhw/eVgYGBztyzGyVAgAABAgQIECBAgACB9glY8LavZp07sQVvTMkteGMcM1IyFrzrbfCysvGmf5lx3M5k/vqGk8vv7vyxBW9nKu5GCRAgQIAAAQIECBAg0E4BC9521q1Tp7bgjSm3BW+MY0ZKxoJ302e/q2y1w1EZx+1M5tWXHlZunvNlC97OVNyNEiBAgAABAgQIECBAoJ0CFrztrFunTm3BG1NuC94Yx4wUC94M1fpMC956QwkECBAgQIAAAQIECBAgkC9gwZtv7B0qBSx4KwH/9+UWvDGOGSkWvBmq9ZkWvPWGEggQIECAAAECBAgQIEAgX8CCN9/YO1QKWPBWAlrwxgAmpljwJuJWRFvwVuB5KQECBAgQIECAAAECBAisMAEL3hVG7Y2erIAF75OVW/p1PsEb45iRYsGboVqfacFbbyiBAAECBAgQIECAAAECBPIFLHjzjVv1DmussUZZvHhxmT9/fmPObcEbUwoL3hjHjBQL3gzV+kwL3npDCQQIECBAgAABAgQIECCQL2DBm2/c6HfYZdfnlb9645vLrC22LNOmrVdWXnnl/nnnzZtXtth8xlJnnzx5cjnv/IsHfzZ79tnl0EMOXub9DQwMlHPOu6BMmbJG/5pbb72lHLDfq5bbw4J3ucmGfIEFb4xjRooFb4ZqfaYFb72hBAIECBAgQIAAAQIECBDIF7DgzTdu7Dt89Iijytv/+sAhz7do0aKyyTOmL/W7p0ydWq65bs7gz3qL1+22mVXuveeeITPeeeB7ymEfOWLwd3Pnzi1bzdpsuT0seJebzII3hmyFpVjwrjDq5XqjrAVv7z/T/KkT6P0fEP0hQIAAAQIECBAgQIAAgT8JWPB28EnoDcbf/+FPypZbbtW/+96y4brrri3XXnN1uf2228qMTXaw0tIAACAASURBVDctW2y5VXnp3nsspfP4BW/vl2f+4Hvl3Qe+Y0jFq6+bU6ZOnTr4OwvesX3YfIJ3bP2He3cL3mbWJnrB2/vP2kmT1ihT1966mTfcklMtfmRBmTv3V2XRwnlhJx4YWLlMmLBSKRbHlaYT+nWxgK9k9HICBAgQIECAAAECyylgwbucYOPh8r/524PLIYd+qH8r9913X3nj/31duebqq0a8taEWvL3v6+19Krf3lQ6P/bPPvvuV4074/FI/s+AdkTj1AgveVN6qcAveKr60F0cveHsHnbDSqmWfN9yWduYuBD8w75bysx/sWR5ZFPdd8SutNLk8e+tDytOmvaALhGn3eOn5B5Z5c2+w4E0Tbk5w7/9gZZHfnHo4CQECBAgQIEDAgrdjz0Dvv4xfP+fm0vs+3d5ydpfnbF9+97vfjkrhsQveK6+4vGy3/Q7915327W+WD7z/oKUyLrzkijJ9+vrl7j/8oUyeMqWsvvrqxYJ3VMxpF1nwptFWB1vwVhOmBFjwprBWh2YseCdOnFK23+W4Mn2jV1Sfr8sBvcX7ffdeF7r4mzxlo7LOert3mbX63ufPu63cc/dl5ZFFD1RnPRowcdKaZdXVnl4mTJgYltnFoD8++Nvy8IL/Cf13pouO7pkAAQIECBDwFQ2dewbe+zcHlQ988MP9+/7C5z9XPn7s0aM2eOyC95STv15232PP/hJ34cKFZdbMTcqCBQv6WTvvsmv51mmn9/+595ewHXn0sRa8o1bOu9CCN8+2NtmCt1Yw5/UWvDmutakWvLWCea+PXvD6Dv6YWun/MY4ZKRn93yer6yv16Hfls6y3lECAAAECK07AJ3hXnHUj3ulHP5ldnv3sWf2zbLPV5mW9aeuVHZ/z3LLpppv1F7W//MX15d//7bTS+0vWHv/n8Qveiy+6oHz2xC/2L/vqSV8uRx5xeP+fz/rpuWXm5psPfmL3lzfcYsHbgOob8BpQhGUcIWPA2/TZ7ypb7XBUc2+6BSez4G1mkSx4m1mX3qkseJtZG/2/mXXpnSqj/6+73h7+vxEqS37nrf9R/vC788I/We0vWa0szP++3OI9xlEKAQLjT8CCd/zVdNg7uvzK68rT1lmnf03v6xMe/efHvujhhx8unz/xhPLpf/qHpbIev+A9/MOHlquu+UV56tpr9z+9O3PTZ5RNZswoZ88+v/+6T378mH6OBW8zHjIDXjPqMNQpMgY8C976elvw1htmJFjwZqjGZFrwxjhGp+j/0aJxefp/nGVkUnT/7y12V5q4Wpkx8+2Rx+xc1sKH55Y7bjm9LAr8Dv7OIbphAgTGtYAF77gu7xNv7oabby+rrLLKUr/ofXK39z+rrbbaUv+X6o8fc3T5wr98bvDaoRa8b3rzW8vRx3yif83xx3267LTTc8tzd96lPPjgg+XZz3pm6f0XmuEWvJOnPn3ECjyycEFZbZWNyu4vO2vEa12wbIHegHftFYeViatOCmN6aN4D5UWvPKdMnrJhWGYXg844dYOy6ppPKQMDE0Juf8Ef55WNN/6rsqVP8FZ5XnPZ4eX2275dVl51clXOoy9esmRxWTDv/vJqf8lalWdvwTv7zL3KKlNi6tI7zKKHHi7b7PiPPvVWVZlSfnbmi8qCh+8sK01a+r9nPNlY/f/Jyi39Ov0/xjEjRf/PUK3P1P/rDTMSMvp/xjllDi8w/3/uQkSAQJKABW8SbFNjb7vz9/2j9b6C4Zv/ekr5x099vP9VCr0/vb947dhP/GPZd7/9B4//vJ13LHfccXv/fx9qwdv7ee8vbZsyZUp/STxx4sT+kvjEzx1fPvWJY/uvG27Bu+4m245IteDB+8vAwjXL7i/98YjXumDZAr0B7/prjyprPG3dMKZ77ri57Pnyn1nwVoqe8a8blLU3nFkmTFipMulPL3/g3rvKetP2KVtuf2RIXldDrrnsI+X3d59ZJj8l5t+ZxY88Uu6988by6tff2lXSkPvuDXjn/Ogl5anrbxyS1wuZd/ddZcttjrHgrRSd/cO9y8Aq88vKq61RmfSnl+v/IYxF/49xzEjR/zNU6zP1/3rDjISM/p9xTpnDC/z+5qsQESCQJGDBmwTbxNiVV1653PjrO/pHu+nGG8qeuz9/yGN++zvf7X8Kt/fn6KOOKF/50hf6/7ysBe9B7zukHPy+Dwxm9b7iYfPNNh78Hl+f4G3G0+ATPM2ow1Cn8AmeZtbGJ3iaWZeMT/D4BG9MrX2CN8YxOkX/jxaNy9P/4ywjk/T/SM24rIz+H3c6SaMV8Ane0Uq5jsDyC1jwLr9Zq19x0y13lkmTJpX/vvvusv22Wwx5L/vst3857vgT+787+6dnlbe95Y3DLngnTJhQ5tx46+BXP5x6yjfKYR/688LXd/A245HxHXzNqMPQC971yyOPPBz2l3n0vhrFd/DW1zv6O/h6J5qw0qplH1/RUFUc38FbxZf6Yt/Bm8r7pMP1/ydNl/5C38GbTvyk3kD/f1Js6S/K6P/ph/YGBAgQWIECFrwrELsJb/XoX7LW+5Ttps/cYMgj7bDjTuXfv/v9/u8uv+zSsv++rxx2wdv75ceO/WR545veUhYvXly22HxGmT9//mC2BW8TKl/6/y+aV178/vLIogfCDjRhpdXLXq86z1c0VIoa8CoBk15uwEuCrYzNGPAmTpxStt/lOF/RUFkbC95KwKSX6/9JsAGx+n8AYkKE/p+AGhCZ0f8DjiWCAAECjRGw4G1MKVbMQX7wo5+WLbfcqv9mj/1+3ce++xv+8q/KJz71T/0fnfyNr5WPHPbBERe8vb+47YW77VHu+t1vy7XXXrPUzVjwrpjajvQuBryRhMbu9wa8sbMf7p0NeM2sS8aAZ8EbU2sL3hjH6BT9P1o0Lk//j7OMTNL/IzXjsjL6f9zpJBEgQGDsBSx4x74GK/QE7zzwPeWwjxzRf88bfjWn7LXnC5/w/udfeGnZcMON+j9/y5v+b5n9s5+OuOAd7iYseFdoiZf5Zga8ZtRhqFMY8JpZGwNeM+uSMeBZ8MbU2oI3xjE6Rf+PFo3L0//jLCOT9P9IzbisjP4fdzpJBAgQGHsBC96xr8EKP8GlV1xT1l336f33veDn55d3vfNtZe7cuWXqU59avvTlr5Udd3pO/3e3335bef4uOw2eb1l/ydpIN2DBO5LQivm9AW/FOD+ZdzHgPRm1/NcY8PKNn8w7ZAx4FrxPphJPfI0Fb4xjdIr+Hy0al6f/x1lGJun/kZpxWRn9P+50kggQIDD2Aha8Y1+DFX6C7bbfoZx+xg+W+gudFi1aVCZOnDh4lt539O72/J3Lb35zpwXvCq9Qzhsa8HJcI1INeBGK8RkGvHjTiMSMAc+CN6IypVjwxjhGp+j/0aJxefp/nGVkkv4fqRmXldH/404niQABAmMvYME79jUYkxPMnLl5Oenrp5Tp09d/wvtfdukl5W1v+av+p3of+2ettdYq115/Q/9Hj/1u3pFu4NFP8N53331l6y2eNdLlT/j9kiVLytS1tyl7vPwny/1aL/izgAGvuU+DAa+ZtTHgNbMuGQOeBW9MrS14YxyjU/T/aNG4PP0/zjIySf+P1IzLyuj/vTlzYGAg7pAdTer9Res9R5YdfQDcdmMELHgbU4qxOcjTnz6t7LzLruWZm2xSrr3mmnLhBeeX+fPnj81hlvGuFrwx5TDgxThmpBjwMlTrMw149YYZCRkDngVvTKUseGMco1P0/2jRuDz9P84yMkn/j9SMy8ro/yutNLmst+FLylpP2TzuoB1MuvlXXysPzr/DgreDtXfLzRKw4G1WPZxmCAEL3pjHwoAX45iRYsDLUK3PNODVG2YkZAx4FrwxlbLgjXGMTtH/o0Xj8vT/OMvIJP0/UjMuS/+Ps4xOiu7/0eeTR6ArAha8Xal0i+/TgjemeAa8GMeMFANehmp9pgGv3jAjwYCXoRqTGT3g6f8xddH/YxwzUvT/DNX6TP2/3jAjQf/PUI3JjO7/MaeSQqB7Aha83at56+7YgBdTMgNejGNGigEvQ7U+04BXb5iRYMDLUI3JjB7w9P+Yuuj/MY4ZKfp/hmp9pv5fb5iRoP9nqMZkRvf/mFNJIdA9AQve7tW8dXdswIspmQEvxjEjxYCXoVqfacCrN8xIMOBlqMZkRg94+n9MXfT/GMeMFP0/Q7U+U/+vN8xI0P8zVGMyo/t/zKmkEOiegAVv92reujs24MWUzIAX45iRYsDLUK3PNODVG2YkGPAyVGMyowc8/T+mLvp/jGNGiv6foVqfqf/XG2Yk6P8ZqjGZ0f0/5lRSCHRPwIK3ezVv3R0b8GJKZsCLccxIMeBlqNZnGvDqDTMSDHgZqjGZ0QOe/h9TF/0/xjEjRf/PUK3P1P/rDTMS9P8M1ZjM6P4fcyopBLonYMHbvZq37o4NeDElM+DFOGakGPAyVOszDXj1hhkJBrwM1ZjM6AFP/4+pi/4f45iRov9nqNZn6v/1hhkJ+n+GakxmdP+POZUUAt0TsODtXs1bd8cGvJiSGfBiHDNSDHgZqvWZBrx6w4wEA16Gakxm9ICn/8fURf+PccxI0f8zVOsz9f96w4wE/T9DNSYzuv/HnEoKge4JWPB2r+atu2MDXkzJDHgxjhkpBrwM1fpMA169YUaCAS9DNSYzesDT/2Pqov/HOGak6P8ZqvWZ+n+9YUaC/p+hGpMZ3f9jTiWFQPcELHi7V/PW3bEBL6ZkBrwYx4wUA16Gan2mAa/eMCPBgJehGpMZPeDp/zF10f9jHDNS9P8M1fpM/b/eMCNB/89QjcmM7v8xp5JCoHsCFrzdq3nr7tiAF1MyA16MY0aKAS9DtT7TgFdvmJFgwMtQjcmMHvD0/5i66P8xjhkp+n+Gan2m/l9vmJGg/2eoxmRG9/+YU0kh0D0BC97u1bx1d2zAiymZAS/GMSPFgJehWp9pwKs3zEgw4GWoxmRGD3j6f0xd9P8Yx4wU/T9DtT5T/683zEjQ/zNUYzKj+3/MqaQQ6J6ABW/3at66OzbgxZTMgBfjmJFiwMtQrc804NUbZiQY8DJUYzKjBzz9P6Yu+n+MY0aK/p+hWp+p/9cbZiTo/xmqMZnR/T/mVFIIdE/Agrd7NW/dHRvwYkpmwItxzEgx4GWo1mca8OoNMxIMeBmqMZnRA57+H1MX/T/GMSNF/89Qrc/U/+sNMxL0/wzVmMzo/h9zKikEuidgwdu9mrfujg14MSUz4MU4ZqQY8DJU6zMNePWGGQkGvAzVmMzoAU//j6mL/h/jmJGi/2eo1mfq//WGGQn6f4ZqTGZ0/485lRQC3ROw4O1ezVt3xwa8mJIZ8GIcM1IMeBmq9ZkGvHrDjAQDXoZqTGb0gKf/x9RF/49xzEjR/zNU6zP1/3rDjAT9P0M1JjO6/8ecSgqB7glY8Hav5q27YwNeTMkMeDGOGSkGvAzV+kwDXr1hRoIBL0M1JjN6wNP/Y+qi/8c4ZqTo/xmq9Zn6f71hRoL+n6Eakxnd/2NOJYVA9wQseLtX89bdsQEvpmQGvBjHjBQDXoZqfaYBr94wI8GAl6Eakxk94On/MXXR/2McM1L0/wzV+kz9v94wI0H/z1CNyYzu/zGnkkKgewIWvN2reevu2IAXUzIDXoxjRooBL0O1PtOAV2+YkWDAy1CNyYwe8PT/mLro/zGOGSn6f4Zqfab+X2+YkaD/Z6jGZEb3/5hTSSHQPQEL3u7VvHV3bMCLKZkBL8YxI8WAl6Fan2nAqzfMSDDgZajGZEYPePp/TF30/xjHjBT9P0O1PlP/rzfMSND/M1RjMqP7f8yppBDonoAFb/dq3ro7NuDFlMyAF+OYkWLAy1CtzzTg1RtmJBjwMlRjMqMHPP0/pi76f4xjRor+n6Fan6n/1xtmJOj/GaoxmdH9P+ZUUgh0T8CCt3s1b90dG/BiSmbAi3HMSDHgZajWZxrw6g0zEgx4GaoxmdEDnv4fUxf9P8YxI0X/z1Ctz9T/6w0zEvT/DNWYzOj+H3MqKQS6J2DB272at+6ODXgxJTPgxThmpBjwMlTrMw149YYZCQa8DNWYzOgBT/+PqYv+H+OYkaL/Z6jWZ+r/9YYZCfp/hmpMZnT/jzmVFALdE7Dg7V7NW3fHBryYkhnwYhwzUgx4Gar1mQa8esOMBANehmpMZvSAp//H1EX/j3HMSNH/M1TrM/X/esOMBP0/QzUmM7r/x5xKCoHuCVjwdq/mrbtjA15MyQx4MY4ZKQa8DNX6TANevWFGggEvQzUmM3rA0/9j6qL/xzhmpOj/Gar1mfp/vWFGgv6foRqTGd3/Y04lhUD3BCx4u1fz1t2xAS+mZAa8GMeMFANehmp9pgGv3jAjwYCXoRqTGT3g6f8xddH/YxwzUvT/DNX6TP2/3jAjQf/PUI3JjO7/MaeSQqB7Aha83at56+7YgBdTMgNejGNGigEvQ7U+04BXb5iRYMDLUI3JjB7w9P+Yuuj/MY4ZKfp/hmp9pv5fb5iRoP9nqMZkRvf/mFNJIdA9AQve7tW8dXdswIspmQEvxjEjxYCXoVqfacCrN8xIMOBlqMZkRg94+n9MXfT/GMeMFP0/Q7U+U/+vN8xI0P8zVGMyo/t/zKmkEOiegAVv92reujs24MWUzIAX45iRYsDLUK3PNODVG2YkGPAyVGMyowc8/T+mLvp/jGNGiv6foVqfqf/XG2Yk6P8ZqjGZ0f0/5lRSCHRPwIK3ezVv3R0b8GJKZsCLccxIMeBlqNZnGvDqDTMSDHgZqjGZ0QOe/h9TF/0/xjEjRf/PUK3P1P/rDTMS9P8M1ZjM6P4fcyopBLonYMHbvZq37o4NeDElM+DFOGakGPAyVOszDXj1hhkJBrwM1ZjM6AFP/4+pi/4f45iRov9nqNZn6v/1hhkJ+n+GakxmdP+POZUUAt0TsODtXs1bd8cGvJiSGfBiHDNSDHgZqvWZBrx6w4wEA16Gakxm9ICn/8fURf+PccxI0f8zVOsz9f96w4wE/T9DNSYzuv/HnEoKge4JWPB2r+atu2MDXkzJDHgxjhkpBrwM1fpMA169YUaCAS9DNSYzesDT/2Pqov/HOGak6P8ZqvWZ+n+9YUaC/p+hGpMZ3f9jTiWFQPcELHi7V/PW3bEBL6ZkBrwYx4wUA16Gan2mAa/eMCPBgJehGpMZPeDp/zF10f9jHDNS9P8M1fpM/b/eMCNB/89QjcmM7v8xp5JCoHsCFrzdq3nr7tiAF1MyA16MY0aKAS9DtT7TgFdvmJFgwMtQjcmMHvD0/5i66P8xjhkp+n+Gan2m/l9vmJGg/2eoxmRG9/+YU0kh0D0BC97u1bx1d2zAiymZAS/GMSPFgJehWp9pwKs3zEgw4GWoxmRGD3j6f0xd9P8Yx4wU/T9DtT5T/683zEjQ/zNUYzKj+3/MqaQQ6J6ABW/3at66OzbgxZTMgBfjmJFiwMtQrc804NUbZiQY8DJUYzKjBzz9P6Yu+n+MY0aK/p+hWp+p/9cbZiTo/xmqMZnR/T/mVFIIdE/Agrd7NW/dHRvwYkpmwItxzEgx4GWo1mca8OoNMxIMeBmqMZnRA57+H1MX/T/GMSNF/89Qrc/U/+sNMxL0/wzVmMzo/h9zKikEuidgwdu9mrfujg14MSUz4MU4ZqQY8DJU6zMNePWGGQkGvAzVmMzoAU//j6mL/h/jmJGi/2eo1mfq//WGGQn6f4ZqTGZ0/485lRQC3ROw4O1ezVt3xwa8mJIZ8GIcM1IMeBmq9ZkGvHrDjAQDXoZqTGb0gKf/x9RF/49xzEjR/zNU6zP1/3rDjAT9P0M1JjO6/8ecSgqB7glY8Hav5q27YwNeTMkMeDGOGSkGvAzV+kwDXr1hRoIBL0M1JjN6wNP/Y+qi/8c4ZqTo/xmq9Zn6f71hRoL+n6Eakxnd/2NOJYVA9wQseLtX89bdsQEvpmQGvBjHjBQDXoZqfaYBr94wI8GAl6Eakxk94On/MXXR/2McM1L0/wzV+kz9v94wI0H/z1CNyYzu/zGnkkKgewIWvN2reevu2IAXUzIDXoxjRooBL0O1PtOAV2+YkWDAy1CNyYwe8PT/mLro/zGOGSn6f4Zqfab+X2+YkaD/Z6jGZEb3/5hTSSHQPQEL3u7VvHV3bMCLKZkBL8YxI8WAl6Fan2nAqzfMSDDgZajGZEYPePp/TF30/xjHjBT9P0O1PlP/rzfMSND/M1RjMqP7f8yppBDonoAFb/dq3ro7NuDFlMyAF+OYkWLAy1CtzzTg1RtmJBjwMlRjMqMHPP0/pi76f4xjRor+n6Fan6n/1xtmJOj/GaoxmdH9P+ZUUgh0T8CCt3s1b90dG/BiSmbAi3HMSDHgZajWZxrw6g0zEgx4GaoxmdEDnv4fUxf9P8YxI0X/z1Ctz9T/6w0zEvT/DNWYzOj+H3MqKQS6J2DB272at+6ODXgxJTPgxThmpBjwMlTrMw149YYZCQa8DNWYzOgBT/+PqYv+H+OYkaL/Z6jWZ+r/9YYZCfp/hmpMZnT/jzmVFALdE7Dg7V7NW3fHBryYkhnwYhwzUgx4Gar1mQa8esOMBANehmpMZvSAp//H1EX/j3HMSNH/M1TrM/X/esOMBP0/QzUmM7r/x5xKCoHuCVjwdq/mrbtjA15MyQx4MY4ZKQa8DNX6TANevWFGggEvQzUmM3rA0/9j6qL/xzhmpOj/Gar1mfp/vWFGgv6foRqTGd3/Y04lhUD3BCx4u1fz1t2xAS+mZAa8GMeMlO+eun5Z/MjDZWBgICS+9+/Mps9+V9lqh6NC8roaYsBrZuUNeM2sS+9U0QOe/h9Ta/0/xjEjxYI3Q7U+U/+vN8xI0P8zVGMyo/t/zKmkEOiegAVv92reujs24MWUzIAX45iRYsGboVqfacCrN8xIMOBlqMZkRg94+n9MXfT/GMeMFAveDNX6TP2/3jAjQf/PUI3JjO7/MaeSQqB7Aha83at56+7YgBdTMgNejGNGigVvhmp9pgGv3jAjwYCXoRqTGT3g6f8xddH/YxwzUix4M1TrM/X/esOMBP0/QzUmM7r/x5xKCoHuCVjwdq/mrbtjA15MyQx4MY4ZKRa8Gar1mQa8esOMBANehmpMZvSAp//H1EX/j3HMSLHgzVCtz9T/6w0zEvT/DNWYzOj+H3MqKQS6J2DB272at+6ODXgxJTPgxThmpFjwZqjWZxrw6g0zEgx4GaoxmdEDnv4fUxf9P8YxI8WCN0O1PlP/rzfMSND/M1RjMqP7f8yppBDonoAFb/dq3ro7NuDFlMyAF+OYkWLBm6Fan2nAqzfMSDDgZajGZEYPePp/TF30/xjHjBQL3gzV+kz9v94wI0H/z1CNyYzu/zGnkkKgewIWvN2reevu2IAXUzIDXoxjRooFb4ZqfaYBr94wI8GAl6Eakxk94On/MXXR/2McM1IseDNU6zP1/3rDjAT9P0M1JjO6/8ecSgqB7glY8Hav5q27YwNeTMkMeDGOGSkWvBmq9ZkGvHrDjAQDXoZqTGb0gKf/x9RF/49xzEix4M1Qrc/U/+sNMxL0/wzVmMzo/h9zKikEuidgwdu9mrfujg14MSUz4MU4ZqRY8Gao1mca8OoNMxIMeBmqMZnRA57+H1MX/T/GMSPFgjdDtT5T/683zEjQ/zNUYzKj+3/MqaQQ6J6ABW/3at66OzbgxZTMgBfjmJFiwZuhWp9pwKs3zEgw4GWoxmRGD3j6f0xd9P8Yx4wUC94M1fpM/b/eMCNB/89QjcmM7v8xp5JCoHsCFrzdq3nr7tiAF1MyA16MY0aKBW+Gan3m1Zd+uNw85ytlYGCgPux/EyastGrZ5w23heV1MciA19yqRw94+n9MrfX/GMeMFAveDNX6TAveesOMBP0/QzUmM7r/x5xKCoHuCVjwdq/mrbtjA15MyQx4MY4ZKRa8Gar1mRa89YYZCQa8DNWYzOgBT/+PqYv+H+OYkWLBm6Fan2nBW2+YkaD/Z6jGZEb3/5hTSSHQPQEL3u7VvHV3bMCLKZkBL8YxI8WCN0O1PtOCt94wI8GAl6Eakxk94On/MXXR/2McM1IseDNU6zMteOsNMxL0/wzVmMzo/h9zKikEuidgwdu9mrfujg14MSUz4MU4ZqRY8Gao1mda8NYbZiQY8DJUYzKjBzz9P6Yu+n+MY0aKBW+Gan2mBW+9YUaC/p+hGpMZ3f9jTiWFQPcELHi7V/PW3bEBL6ZkBrwYx4wUC94M1fpMC956w4wEA16Gakxm9ICn/8fURf+PccxIseDNUK3PtOCtN8xI0P8zVGMyo/t/zKmkEOiegAVv92reujs24MWUzIAX45iRYsGboVqfacFbb5iRYMDLUI3JjB7w9P+Yuuj/MY4ZKRa8Gar1mRa89YYZCfp/hmpMZnT/jzmVFALdE7Dg7V7NW3fHBryYkhnwYhwzUix4M1TrMy146w0zEgx4GaoxmdEDnv4fUxf9P8YxI8WCN0O1PtOCt94wI0H/z1CNyYzu/zGnkkKgewIWvN2reevu2IAXUzIDXoxjRooFb4ZqfaYFb71hRoIBL0M1JjN6wNP/Y+qi/8c4ZqRY8Gao1mda8NYbZiTo/xmqMZnR/T/mVFIIdE/Agrd7NW/dHRvwYkpmwItxzEix4M1Qrc+04K03zEgw4GWoxmRGD3j6f0xd9P8Yx4wUC94M1fpMC956w4wE/T9DNSYzuv/HnEoKge4JWPB2r+atu2MDXkzJDHgxjhkpFrwZqvWZFrz1hhkJBrwM1ZjM6AFP/4+pi/4f45iRYsGboVqfacFbb5iRoP9nqMZkRvf/mFNJIdA9AQve7tW8dXdswIspmQEvxjEjxYI3Q7U+04K33jAj4YH7f11mn/mismjR/LD4iROnlO13Pb5M3/DlYZldDIoe8PT/mKdI/49xzEix4M1Qrc+04K03zEiw4M1QjcmM7v8xp5JCoHsCFrzdq3nr7tiAF1MyA16MY0aKBW+Gan2mBW+9Q6ruMQAAIABJREFUYUaCBW+Gakxm9ICn/8fURf+PccxIseDNUK3PtOCtN8xIsODNUI3JjO7/MaeSQqB7Aha83at5+eo3Ti1bbrHVqO587712K/fec0//2smTJ5fzzr948HWzZ59dDj3k4GXmDAwMlHPOu6BMmbJG/5pbb72lHLDfq0b1vo+9yIC33GRDvsCAF+OYkWLBm6Fan2nBW2+YkWDBm6Eakxk94On/MXXR/2McM1L0/wzV+kwL3nrDjAQL3gzVmMzo/h9zKikEuidgwdu9mpeLL7uqTJu23qju/Hk771juuOP2/rVPmTq1XHPdnMHX9Qav7baZNbgAfnzgOw98TznsI0cM/nju3Lllq1mbjep9LXiXm2nEFxjwRiQaswsMeGNGP+wbW/A2sy4WvM2sS+9U0QOeBW9MrfX/GMeMFP0/Q7U+U/+vN8xIsODNUI3JjO7/MaeSQqB7Aha83av54IK3Nzj94hfXDyvw+tfsV3qL2aEWvL2fnfmD75V3H/iOITOuvm5OmTp1qgVvQ54xA15DCjHEMQx4zayNAa+ZdbHgbWZdLHibWxf9v7m10f+bWRv9v5l1seBtZl0y+n9z79TJCDRbwIK32fVJOd2jn+BdsGBB2WyTDUf9Ho//BG/vhYsXL+5/KnfevHlL5eyz737luBM+v9TPfIJ31NQpFxrwUlhDQg14IYzhIQa8cNKQQAveEMaUkOhP8PgEb0yZ9P8Yx4wU/T9DtT5T/683zEhI6/+7HFemb/SKjCN3JjO6/3cGzo0SCBaw4A0GbUNcxIL3yisuL9ttv0P/dk/79jfLB95/0FK3fuElV5Tp09cvd//hD2XylCll9dVX738S2Fc0jN0TYsAbO/uR3tmAN5LQ2PzegDc27iO9a9qAt+vxZfqGLx/p7f1+GIHoAc+CN+Zx0/9jHDNS9P8M1fpM/b/eMCMhrf9b8FaXK7r/Vx9IAIGOCljwdrDwEQveU07+etl9jz37S9yFCxeWWTM3Kb1PBPf+7LzLruVbp53e/+feX8J25NHHWvA24Dkz4DWgCMs4ggGvmbUx4DWzLmkDngVvdcGjBzwL3uqS9AP0/xjHjBT9P0O1PlP/rzfMSEjr/xa81eWK7v/VBxJAoKMCFrwdLPyjC96HH364vGTvPcrk1Vcvf3zoj+WWX/+6LFq0aJkij/2Kht6C9+KLLiifPfGL/eu/etKXy5FHHN7/57N+em6Zufnmg5/Y/eUNt1jwNuA5M+A1oAgWvM0twhAnM+A1s1xpA54Fb3XBowc8C97qkljwxhCmpVjwptFWBev/VXxpL07r/xa81TWL7v/VBxJAoKMCFrwdLPyjC96hbv3+++8v/3rqN8qn/+kfBj+R++h1j1/wHv7hQ8tV1/yiPHXttfvXztz0GWWTGTPK2bPP77/kkx8/pnz+xBOKBW8zHjIL3mbUYahTGPCaWRsDXjPrkjbgWfBWFzx6wLPgrS6JBW8MYVqK/p9GWxWs/1fxpb04rf9b8FbXLLr/Vx9IAIGOCljwdrDwwy14H+X4zW/uLM/becf+X6I23IL3TW9+azn6mE/0Lzn+uE+XnXZ6bnnuzruUBx98sDz7Wc8sveFsuAXvyqtNGbECix9ZVNZYY2bZ/WVnjXitC5Yt0FvwXn3ZB8vAhGV/Snt5/R5ZuKS86JXnlslTRv+X9S3ve3Th+jNOXb+stPLKZWBgIOR2Fz28oDxzs7eVrXY4KiSvqyFXX3pYue3mk8tKk1YOIej95+HihY+UV7/htpC8rob0B7wf7l0mTFwSRrDkkZXKdjv/s+/grRTtDXjz599UJqw0sTLpTy/X/0MY+1/RoP/HWEan6P/RojF5+n+MY3RKSv9fvFLZ7jmf9pesVRZrefr/w398oPLdvJwAgWUJWPB28Nk45NAPlSlT1ij/dd215Q+//31/qbThRhuVffbdv2y/w46DS6YLfn5+ecPrDhgUGuoTvL1fXj/n5jJlypT+d/FOnDix//oTP3d8+dQnju2/drgF77qbbDtiBRY8eH+ZsGitsttLfjTitS5YtkBvwLv+2qPKGk9bN4zpnjtuLnu+/GcWvJWiZ5y6QVl7o5llwoSVKpP+9PIH7r2rrDdtn7Ll9keG5HU15OrLDi9/uPtHZfJT1gkhWPzII+XeO28sr379rSF5XQ3pDXjn/vilZer6G4cRzLv7rrLltsda8FaK9hbvA6vMLyuvtkZl0p9erv+HMPYXvPp/jGV0iv4fLRqTp//HOEanpPX/bY6x4K0s1vL0/9/ffFXlu3k5AQLLErDg9WwsJbDHnnuVk752cn9J2/uO3k2fucHg75e14D3ofYeUg9/3gcHreq/bfLONB7/Pd7gF79T1ZoxYgYUPPVgmTVi37P7SH494rQuWLdAb8K67+qNltTXXDGPqLUX2fMU5FryVor1P8Ky5zgZlYMKEyqQ/vfyP8+4tG6z/2rLlDha8NaBXX3ZY+d1vzyirTplaEzP42iWLHym9f2de/QYL3hrQ3oB3zo9fUqas/bSamKVe+8e5c8vWO3zKgrdSdPaZe5VFA/9dJq2yemXSn16u/4cw9he8+n+MZXSK/h8tGpOn/8c4Rqek9P/77y9bb/cJC97KYi1P//+f395U+W5eToDAsgQseD0bTxA49/yLysYbP7P/8+fssE25667f9f95WQveCRMmlDk33lpWWWWV/nWnnvKNctiH/rzw9R28zXjIfAdvM+ow1Cl8B18za+M7+JpZl7Tv4PMdvNUFj/4OPt/BW12SfoD+H+OYkaL/Z6jWZ+r/9YYZCWn933fwVpcruv9XH0gAgY4KWPB2tPDD3fa3Tju97LzLrv1LDtjvVeWySy8ZdsHb++XHjv1keeOb3tL/zt4tNp9R5s+fP/gWFrzNeMgMeM2ogwVvc+vw+JMZ8JpZq7QBz4K3uuDRA54Fb3VJLHhjCNNSLHjTaKuC9f8qvrQXp/V/C97qmkX3/+oDCSDQUQEL3o4WfrjbvvCSK8r06ev3L9lskw3LggULRlzw9j69+8Ld9ih3/e635dprr1kq3oK3GQ+ZBW8z6mDB29w6WPC2ozZpA54Fb/UDED3gWfBWl8SCN4YwLcWCN422KtiCt4ov7cX6fxptdXB0/68+kAACHRWw4O1Y4V/4wt3736977rmzh7zzvfZ+SfnySV/v/+6BBx4os2ZuMnjdsr6iYSRCC96RhFbM7y14V4zzk3kXA96TUct/jQEv3/jJvIMB78morZjXRA94FrwxddP/YxwzUvT/DNX6TP2/3jAjQf/PUI3JjO7/MaeSQqB7Aha8Hav58Z/9l/LqffYtv//9XeVb3zy1XHThBeWKyy8r09abXt79nr8pr33dG/oL4N6fYz52ZPnSFz5vwTtOnhEDXnMLacBrZm0MeM2siwGvmXXpnSp6wLPgjam1/h/jmJGi/2eo1mfq//WGGQn6f4ZqTGZ0/485lRQC3ROw4O1YzR9d8I5029ddd215xUv3Wuoyn+AdSa3ZvzfgNbc+Brxm1saA18y6GPCaWRcL3ubWRf9vbm30/2bWRv9vZl30/2bWJaP/N/dOnYxAswUseJtdn/DT7bHnXuWIvz+qPGPjZw5+Uvexb7Jw4cLyz//vH8vnPnvcE957rbXWKtdef0P/5yd/42vlI4d9cFTne/QrGu67776y9RbPGtVrHnuRT/AsN9mQLzDgxThmpBjwMlTrMw149YYZCQa8DNWYzOhP8Oj/MXXR/2McM1L0/wzV+kz9v94wI0H/z1CNyYzu/zGnkkKgewIWvN2ref+Oe38p2pZbbV022WRG2egZzyh33H57ufjii8otv765cSIGvJiSGPBiHDNSDHgZqvWZBrx6w4wEA16Gakxm9ICn/8fURf+PccxI0f8zVOsz9f96w4wE/T9DNSYzuv/HnEoKge4JWPB2r+atu2MDXkzJDHgxjhkpBrwM1fpMA169YUaCAS9DNSYzesDT/2Pqov/HOGak6P8ZqvWZ+n+9YUaC/p+hGpMZ3f9jTiWFQPcELHi7V/PW3bEBL6ZkBrwYx4wUA16Gan2mAa/eMCPBgJehGpMZPeDp/zF10f9jHDNS9P8M1fpM/b/eMCNB/89QjcmM7v8xp5JCoHsCFrzdq3nr7tiAF1MyA16MY0aKAS9DtT7TgFdvmJFgwMtQjcmMHvD0/5i66P8xjhkp+n+Gan2m/l9vmJGg/2eoxmRG9/+YU0kh0D0BC97u1bx1d9wb8J76F9uW3V92VuvO3qQDG/CaVI2lz2LAa2ZtDHjNrIsBr5l16Z0qesCz4I2ptf4f45iRov9nqNZn6v/1hhkJ+n+GakxmdP+POZUUAt0TsODtXs1bd8cWvDElM+DFOGakGPAyVOszDXj1hhkJBrwM1ZjM6AHPgjemLvp/jGNGiv6foVqfqf/XG2Yk6P8ZqjGZ0f0/5lRSCHRPwIK3ezVv3R1b8MaUzIAX45iRYsDLUK3PNODVG2YkGPAyVGMyowc8C96Yuuj/MY4ZKfp/hmp9pv5fb5iRoP9nqMZkRvf/mFNJIdA9AQve7tW8dXdswRtTMgNejGNGigEvQ7U+04BXb5iRYMDLUI3JjB7wLHhj6qL/xzhmpOj/Gar1mfp/vWFGgv6foRqTGd3/Y04lhUD3BCx4u1fz1t2xBW9MyQx4MY4ZKQa8DNX6TANevWFGggEvQzUmM3rAs+CNqYv+H+OYkaL/Z6jWZ+r/9YYZCfp/hmpMZnT/jzmVFALdE7Dg7V7NW3fHFrwxJTPgxThmpBjwMlTrMw149YYZCQa8DNWYzOgBz4I3pi76f4xjRor+n6Fan6n/1xtmJOj/GaoxmdH9P+ZUUgh0T8CCt3s1b90dW/DGlMyAF+OYkWLAy1CtzzTg1RtmJBjwMlRjMqMHPAvemLro/zGOGSn6f4Zqfab+X2+YkaD/Z6jGZEb3/5hTSSHQPQEL3u7VvHV3bMEbUzIDXoxjRooBL0O1PtOAV2+YkWDAy1CNyYwe8Cx4Y+qi/8c4ZqTo/xmq9Zn6f71hRoL+n6Eakxnd/2NOJYVA9wQseLtX89bdsQVvTMkMeDGOGSkGvAzV+kwDXr1hRoIBL0M1JjN6wLPgjamL/h/jmJGi/2eo1mfq//WGGQn6f4ZqTGZ0/485lRQC3ROw4O1ezVt3xxa8MSUz4MU4ZqQY8DJU6zMNePWGGQkGvAzVmMzoAc+CN6Yu+n+MY0aK/p+hWp+p/9cbZiTo/xmqMZnR/T/mVFIIdE/Agrd7NW/dHVvwxpTMgBfjmJFiwMtQrc804NUbZiQY8DJUYzKjBzwL3pi66P8xjhkp+n+Gan2m/l9vmJGg/2eoxmRG9/+YU0kh0D0BC97u1bx1d2zBG1MyA16MY0aKAS9DtT7TgFdvmJFgwMtQjcmMHvAseGPqov/HOGak6P8ZqvWZ+n+9YUaC/p+hGpMZ3f9jTiWFQPcELHi7V/PW3bEFb0zJDHgxjhkpBrwM1fpMA169YUaCAS9DNSYzesCz4I2pi/4f45iRov9nqNZn6v/1hhkJ+n+GakxmdP+POZUUAt0TsODtXs1bd8cWvDElM+DFOGakGPAyVOszDXj1hhkJBrwM1ZjM6AHPgjemLvp/jGNGiv6foVqfqf/XG2Yk6P8ZqjGZ0f0/5lRSCHRPwIK3ezVv3R1b8MaUzIAX45iRYsDLUK3PNODVG2YkGPAyVGMyowc8C96Yuuj/MY4ZKfp/hmp9pv5fb5iRoP9nqMZkRvf/mFNJIdA9AQve7tW8dXdswRtTMgNejGNGigEvQ7U+04BXb5iRYMDLUI3JjB7wLHhj6qL/xzhmpOj/Gar1mfp/vWFGgv6foRqTGd3/Y04lhUD3BCx4u1fz1t2xBW9MyQx4MY4ZKQa8DNX6TANevWFGggEvQzUmM3rAs+CNqYv+H+OYkaL/Z6jWZ+r/9YYZCfp/hmpMZnT/jzmVFALdE7Dg7V7NW3fHFrwxJTPgxThmpBjwMlTrMw149YYZCQa8DNWYzOgBz4I3pi76f4xjRor+n6Fan6n/1xtmJOj/GaoxmdH9P+ZUUgh0T8CCt3s1b90dW/DGlMyAF+OYkWLAy1CtzzTg1RtmJBjwMlRjMqMHPAvemLro/zGOGSn6f4Zqfab+X2+YkaD/Z6jGZEb3/5hTSSHQPQEL3lLKOuusW979nr8pmz1rZv8JuPzyS8t/nPHdcvNNN3bviWjgHVvwxhTFgBfjmJFiwMtQrc804NUbZiQY8DJUYzKjBzwL3pi66P8xjhkp+n+Gan2m/l9vmJGg/2eoxmRG9/+YU0kh0D2BcbvgPfFfvlSe/4Ld+hXtDQjP2WHr8sc//vEJFX7HO99VDjv8iDJhwoQn/O60b3+zfOD9B3XvqWjYHVvwxhTEgBfjmJFiwMtQrc804NUbZiQY8DJUYzKjBzwL3pi66P8xjhkp+n+Gan2m/l9vmJGg/2eoxmRG9/+YU0kh0D2BcbvgvemWO8ukSZP6Ff31zTeV3V+46xOqu8OOO5V/O/17ZWBgYJmVv+qqK8s+r3xp956MBt2xBW9MMQx4MY4ZKQa8DNX6TANevWFGggEvQzUmM3rAs+CNqYv+H+OYkaL/Z6jWZ+r/9YYZCfp/hmpMZnT/jzmVFALdExiXC9699n5J+fJJXx+s5qtf+dJy9VVXPqG6s8/9edlkxqaDP+8NEnfeeUdZe+2/KKuvvvrgz9994NvLmT/4fveejobcsQVvTCEMeDGOGSkGvAzV+kwDXr1hRoIBL0M1JjN6wLPgjamL/h/jmJGi/2eo1mfq//WGGQn6f4ZqTGZ0/485lRQC3RMYlwveL375q+XFL3lZv5rXXXdtecVL93pCZf/iL55Wrrj6vwZ/fsOv5pRXvGzvsmDBgv7PvnXa6WXnXf70qd9777mnbLv1s7v3dDTkji14YwphwItxzEgx4GWo1mca8OoNMxIMeBmqMZnRA54Fb0xd9P8Yx4wU/T9DtT5T/683zEjQ/zNUYzKj+3/MqaQQ6J7AuFzwnvnjs8sWW2zZr+YnP35M+fyJJzyhsu9+z9+WD3748MGfv+zFe5brr//zwrf3i1/ddFtZddVV+9e8aI/nlxtvuKF7T0gD7tiCN6YIBrwYx4wUA16Gan2mAa/eMCPBgJehGpMZPeBZ8MbURf+PccxI0f8zVOsz9f96w4wE/T9DNSYzuv/HnEoKge4JjMsF78WXXVWmTVuvX819X/3ycuUVlz+hst849VvlhS/cvf/z3/zmzrLLc7Z/wjWfOf7Esu9++/d/3vvL1np/6Zo/K17AgjfG3IAX45iRYsDLUK3PNODVG2YkGPAyVGMyowc8C96Yuuj/MY4ZKfp/hmp9pv5fb5iRoP9nqMZkRvf/mFNJIdA9gXG54L1+zs1lypQp/WpuvOG0snjx4idU9tIrrinrrvv0/s9/+pMfl7e/9U1PuObNb317OeroY/s//+pJXy5HHvHnT/x271EZuzu24I2xN+DFOGakGPAyVOszDXj1hhkJBrwM1ZjM6AHPgjemLvp/jGNGiv6foVqfqf/XG2Yk6P8ZqjGZ0f0/5lRSCHRPYFwueG+65c4yadKk8tBDD5VnzdhoyKrecvvvyoQJE/q/O+rIj5aTvvzFJ1y354v2Lid97eT+z88775zyxr98XfeekAbcsQVvTBEMeDGOGSkGvAzV+kwDXr1hRoIBL0M1JjN6wLPgjamL/h/jmJGi/2eo1mfq//WGGQn6f4ZqTGZ0/485lRQC3RMYlwvea6+/oay11lr9T+72PsH7+D8bP3OTcu5/Xjj442V9v+573vt35dAPHda/7odnfr+8651v794T0oA7tuCNKYIBL8YxI8WAl6Fan2nAqzfMSDDgZajGZEYPeBa8MXXR/2McM1L0/wzV+kz9v94wI0H/z1CNyYzu/zGnkkKgewLjcsE7+9yfl01mbNqv5t4vemH51Zw5S1X2oIMPKQe//wP9n/WGh2ds8Kevanj8n96nd3uf4u39+eK/nFiOPeao7j0hDbhjC96YIhjwYhwzUgx4Gar1mQa8esOMBANehmpMZvSAZ8EbUxf9P8YxI0X/z1Ctz9T/6w0zEvT/DNWYzOj+H3MqKQS6JzAuF7xf+eo3yov2enG/mhddeEF53Wv2W6qyF15yRZk+ff3+z26//bby/F12GrLyP7/osrLBBhv2f3f4hw8tp5z89e49IQ24YwvemCIY8GIcM1IMeBmq9ZkGvHrDjAQDXoZqTGb0gGfBG1MX/T/GMSNF/89Qrc/U/+sNMxL0/wzVmMzo/h9zKikEuicwLhe8m262WTl79vmD1Tz1lG+Uo/7+I2XGjE3LoR8+vOy22x6DvzvuM/+vfPqf/uEJlV9zzTXLNf/1q8Hv6X3NAfuUSy6+qHtPSAPu2II3pggGvBjHjBQDXoZqfaYBr94wI8GAl6Eakxk94FnwxtRF/49xzEjR/zNU6zP1/3rDjAT9P0M1JjO6/8ecSgqB7gmMywVvr4xnfO+HZdvtth+2ogsXLizbbzOrzJ079wnXfekrXyt7v/il/Z8vWrSozNh4/f7XOfiz4gUseGPMDXgxjhkpBrwM1fpMA169YUaCAS9DNSYzesCz4I2pi/4f45iRov9nqNZn6v/1hhkJ+n+GakxmdP+POZUUAt0TGLcL3mnT1is/+snsMnXq1GVW9f0H/235t+98+wm/3+gZG5fzzr+oDAwM9H93+WWXlv33fWX3no6G3LEFb0whDHgxjhkpBrwM1fpMA169YUaCAS9DNSYzesCz4I2pi/4f45iRov9nqNZn6v/1hhkJ+n+GakxmdP+POZUUAt0TGLcL3l4pJ0+eXE4/48zyrJkzB5e1vZ/Pnz+/HPahQ8oZ3z19yIp//4c/KVtttfXg79777r8u3//ef3Tv6WjIHVvwxhTCgBfjmJFiwMtQrc804NUbZiQY8DJUYzKjBzwL3pi66P8xjhkp+n+Gan2m/l9vmJGg/2eoxmRG9/+YU0kh0D2Bcb3gfbScEydOLLvv8aIyecrkct2115abb7px2EofdPAhZb3p0/vX9L6e4bAPfaB7T0aD7tiCN6YYBrwYx4wUA16Gan2mAa/eMCPBgJehGpMZPeBZ8MbURf+PccxI0f8zVOsz9f96w4wE/T9DNSYzuv/HnEoKge4JdGLB272yjq87tuCNqacBL8YxI8WAl6Fan2nAqzfMSDDgZajGZEYPeBa8MXXR/2McM1L0/wzV+kz9v94wI0H/z1CNyYzu/zGnkkKgewIWvN2reevu2II3pmQGvBjHjBQDXoZqfaYBr94wI8GAl6Eakxk94FnwxtRF/49xzEjR/zNU6zP1/3rDjAT9P0M1JjO6/8ecSgqB7gmMywXvvvsdUF7y0pf1q/nxYz9Wbrv1lqUqe8D/eW3Za+8X9392zNFHljvuuH3Iyr/hL/+qvHC33fu/+/uPHl7uuut33XtCGnDHFrwxRTDgxThmpBjwMlTrMw149YYZCQa8DNWYzOgBz4I3pi76f4xjRor+n6Fan6n/1xtmJOj/GaoxmdH9P+ZUUgh0T2BcLnhP/eZ3yvOe/4J+NYf6C9K+ddrpZedddu3//h1ve3P5yVk/GrLyZ3zvh2Xb7bbv/+71r92/XHjBz7v3hDTgji14Y4pgwItxzEgx4GWo1mca8OoNMxIMeBmqMZnRA54Fb0xd9P8Yx4wU/T9DtT5T/683zEjQ/zNUYzKj+3/MqaQQ6J6ABa8Fb+OfegvemBIZ8GIcM1IMeBmq9ZkGvHrDjAQDXoZqTGb0gGfBG1MX/T/GMSNF/89Qrc/U/+sNMxL0/wzVmMzo/h9zKikEuidgwWvB2/in3oI3pkQGvBjHjBQDXoZqfaYBr94wI8GAl6Eakxk94FnwxtRF/49xzEjR/zNU6zP1/3rDjAT9P0M1JjO6/8ecSgqB7glY8FrwNv6pt+CNKZEBL8YxI+W7p0wvixcvLAMDAyHxvX9nNn32u8pWOxwVktfVEANeMytvwGtmXXqnih7wLHhjaq3/xzhmpFjwZqjWZ+r/9YYZCfp/hmpMZnT/jzmVFALdE7DgteBt/FNvwRtTIgNejGNGigVvhmp9pgGv3jAjwYCXoRqTGT3gWfDG1EX/j3HMSLHgzVCtz9T/6w0zEvT/DNWYzOj+H3MqKQS6J2DBa8Hb+KfegjemRAa8GMeMFAveDNX6TANevWFGggEvQzUmM3rAs+CNqYv+H+OYkWLBm6Fan6n/1xtmJOj/GaoxmdH9P+ZUUgh0T8CC14K38U+9BW9MiQx4MY4ZKRa8Gar1mQa8esOMBANehmpMZvSAZ8EbUxf9P8YxI8WCN0O1PlP/rzfMSND/M1RjMqP7f8yppBDonoAFrwVv4596C96YEhnwYhwzUix4M1TrMw149YYZCQa8DNWYzOgBz4I3pi76f4xjRooFb4Zqfab+X2+YkaD/Z6jGZEb3/5hTSSHQPQELXgvexj/1FrwxJTLgxThmpFjwZqjWZxrw6g0zEgx4GaoxmdEDngVvTF30/xjHjBQL3gzV+kz9v94wI0H/z1CNyYzu/zGnkkKgewIWvBa8jX/qLXhjSmTAi3HMSLHgzVCtzzTg1RtmJBjwMlRjMqMHPAvemLro/zGOGSkWvBmq9Zn6f71hRoL+n6Eakxnd/2NOJYVA9wTG/YL3oYceKr3/eeyfNddcs0yYMKH/owcffLA8/PDDQ1b+sde9/rX7lwsv+Hn3npAG3LEFb0wRDHgxjhkpFrwZqvWZBrx6w4wEA16Gakxm9IBnwRtTF/0/xjEjxYI3Q7U+U/+vN8xI0P8zVGMyo/t/zKmkEOiewLhf8EaV1II3SnL5cyx4l99sqFcY8GIcM1IseDNU6zMNePWGGQkGvAzVmMzoAc+CN6Yu+n+MY0aKBW+Gan2m/l9vmJGg/2eoxmRG9/+YU0kh0D0BC95R1tyCd5RQCZdZ8MagGvBiHDNSLHgzVOszDXj1hhkJBrwM1ZiOCrVOAAAgAElEQVTM6AHPgjemLvp/jGNGigVvhmp9pv5fb5iRoP9nqMZkRvf/mFNJIdA9gXG54N1qq63L1ttsG1rN0//9O2X+/PmhmcJGJ2DBOzqnka4y4I0kNHa/t+AdO/vh3vmqSz5Ufv2rk8rAwEDYASestGrZ5w23heV1MciA19yqRw94Frwxtdb/YxwzUix4M1TrMy146w0zEvT/DNWYzOj+H3MqKQS6JzAuF7zdK+P4vmML3pj6GvBiHDNSLHgzVOszLXjrDTMSDHgZqjGZ0QOeBW9MXfT/GMeMFAveDNX6TAveesOMBP0/QzUmM7r/x5xKCoHuCVjwDlPz/Q94TXn+C3brX3HM0X9f/vu/7+7eE9KAO7bgjSmCAS/GMSPFgjdDtT7TgrfeMCPBgJehGpMZPeBZ8MbURf+PccxIseDNUK3PtOCtN8xI0P8zVGMyo/t/zKmkEOiegAXvMDU/43s/LNtut33/Ct/BO3b/cljwxtgb8GIcM1IseDNU6zMteOsNMxIMeBmqMZnRA54Fb0xd9P8Yx4wUC94M1fpMC956w4wE/T9DNSYzuv/HnEoKge4JWPBa8Db+qbfgjSmRAS/GMSPFgjdDtT7TgrfeMCPBgJehGpMZPeBZ8MbURf+PccxIseDNUK3PtOCtN8xI0P8zVGMyo/t/zKmkEOiegAWvBW/jn3oL3pgSGfBiHDNSLHgzVOszLXjrDTMSDHgZqjGZ0QOeBW9MXfT/GMeMFAveDNX6TAveesOMBP0/QzUmM7r/x5xKCoHuCVjwWvA2/qm34I0pkQEvxjEjxYI3Q7U+04K33jAjwYCXoRqTGT3gWfDG1EX/j3HMSLHgzVCtz7TgrTfMSND/M1RjMqP7f8yppBDonoAFrwVv4596C96YEhnwYhwzUix4M1TrMy146w0zEgx4GaoxmdEDngVvTF30/xjHjBQL3gzV+kwL3nrDjAT9P0M1JjO6/8ecSgqB7glY8FrwNv6pt+CNKZEBL8YxI8WCN0O1PtOCt94wI8GAl6Eakxk94FnwxtRF/49xzEix4M1Qrc+04K03zEjQ/zNUYzKj+3/MqaQQ6J6ABa8Fb+OfegvemBIZ8GIcM1IseDNU6zMteOsNMxLm3X9zOefMvcuiRQ+ExU+cOKVsv+vxZfqGLw/L7GJQ9IBnwRvzFOn/MY4ZKRa8Gar1mRa89YYZCRa8GaoxmdH9P+ZUUgh0T8CC14K38U+9BW9MiQx4MY4ZKRa8Gar1mRa89YYZCRkL3pUmTi477vrZst6GL8s4cmcyowc8C96YR0f/j3HMSLHgzVCtz7TgrTfMSLDgzVCNyYzu/zGnkkKgewIWvBa8jX/qLXhjSmTAi3HMSLHgzVCtz7TgrTfMSLDgzVCNyYwe8PT/mLro/zGOGSn6f4ZqfaYFb71hRoIFb4ZqTGZ0/485lRQC3RMYlwverbbaumyz7XbV1Xz3e/+2TJu2Xj/n9a/dv1x4wc+rMwUsv4ABb/nNhnqFAS/GMSPFgJehWp9pwVtvmJFgwZuhGpMZPeDp/zF10f9jHDNS9P8M1fpMC956w4wEC94M1ZjM6P4fcyopBLonMC4XvKd+8zvlec9/QWg1LXhDOZcrzIC3XFzLvNiAF+OYkWLAy1Ctz7TgrTfMSLDgzVCNyYwe8PT/mLro/zGOGSn6f4Zqfab+X2+YkWDBm6Eakxnd/2NOJYVA9wQseEdZcwveUUIlXGbAi0E14MU4ZqQY8DJU6zMNePWGGQkWvBmqMZnRA57+H1MX/T/GMSNF/89Qrc/U/+sNMxIy+r+/ZDWmUtH9P+ZUUgh0T2BcLniP+tjHyz777h9azdcesE+ZM+eXoZnCRidgwBud00hXGfBGEhq73xvwxs5+uHc24DWzLhkDnr9kLabW0QOe/h9TF/0/xjEjRf/PUK3P1P/rDTMSMvq/BW9MpaL7f8yppBDonsC4XPB2r4wxd/yZ4z43+NUWr3/d/uXGG25YKnjy5MnlvPMvHvzZ7Nlnl0MPOXiZbz4wMFDOOe+CMmXKGv1rbr31lnLAfq9a7sMa8JabbMgXGPBiHDNSDHgZqvWZBrx6w4yEjAHPgjemUtEDnv4fUxf9P8YxI0X/z1Ctz9T/6w0zEjL6vwVvTKWi+3/MqaQQ6J6ABW/3aj7kHR/6ocPKe977d4O/6y1iL7v0kqWufcrUqeWa6+YM/qw3eG23zaxy7z33DJn5zgPfUw77yBGDv5s7d27ZatZmyy1uwFtuMgveGLIVlmLAW2HUy/VGBrzl4lphF2cMeBa8MeWLHvD0/5i6WPDGOGak6P8ZqvWZ+n+9YUZCRv+34I2pVHT/jzmVFALdE7DgHaHmvU+hvnqffcvsn51d7r///nH5hOy73wHlM8d/bql7G82Ct/eCM3/wvfLuA98xpMvV180pU6dOteBtyFNjwGtIIYY4hgGvmbUx4DWzLhkDngVvTK2jBzwL3pi66P8xjhkp+n+Gan2m/l9vmJGQ0f8teGMqFd3/Y04lhUD3BCx4l1HzHXd6Tvmbvzu47LLL88qkSZPKeP1L1rbbfofy79/9fpkwYcKTWvAuXry4/6ncefPmLfX6ffbdrxx3wueX+plP8I7tf8AY8MbWf7h3N+A1szYGvGbWJWPAs+CNqXX0gGfBG1MX/T/GMSNF/89Qrc/U/+sNMxIy+r8Fb0ylovt/zKmkEOiegAXvY2q+/voblL896H3lpS97RVlzzTWXehrG44J32rT1ynk/v7isssoq5aGHHio//tEPS28x2/sz0id4r7zi8tJbDvf+nPbtb5YPvP+gpbwuvOSKMn36+uXuP/yhTJ4ypay++urFgnds/wPGgDe2/ha8zfVf1skMeM2sWcaAZ8EbU+voAc+CN6Yu+n+MY0aKBW+Gan2m/l9vmJGQ0f8teGMqFd3/Y04lhUD3BDq/4O39xWHv+Ot3lde87vX9heSy/uy/7yvL5ZddOm6ekNVWW61cdMmVZepTn1p6n8Ld51UvK72vanjLW98+qgXvKSd/vey+x559s4ULF5ZZMzcpCxYs6L925112Ld867fT+P/f+ErYjjz7WgrcBT44BrwFFWMYRDHjNrI0Br5l1yRjwLHhjah094FnwxtRF/49xzEjR/zNU6zP1/3rDjISM/m/BG1Op6P4fcyopBLon0NkFb2+Z+fa/PrDMmrVF6X3P7lB/el87cPZPzionnPCZcvNNN46rp+Ps2f9ZNt3sWf17eu+7/7p8/3v/0V/ELs+C9+KLLiifPfGL/YyvnvTlcuQRh/f/+ayfnltmbr754Cd2f3nDLRa8DXh6DHgNKIIFb3OLMMTJDHjNLFfGgGfBG1Pr6AHPgjemLvp/jGNGigVvhmp9pv5fb5iRkNH/LXhjKhXd/2NOJYVA9wQ6teDdYcedBr9Xd+WVVx6y2r1Po/7neeeUz55wXOl9DcF4/HPS104ue75o7/6t/fOn/7F85tP/1P/n5V3wHv7hQ8tV1/yiPHXttfuf3p256TPKJjNmlLNnn9/P++THjymfP/GEYsHbjKfIgNeMOgx1CgNeM2tjwGtmXTIGPAvemFpHD3gWvDF10f9jHDNS9P8M1f/P3nnH2VWWa/vJEBLIJJBQBQLSe+9dIIAUacI5CIogKiUUAakBFRQEVJCOepSeA8JRkY5SpQhISQKBGESqgjQJIYGEEL7f2vkYCZlkMvPcN1l73mv+OZLZ65p3Xc/G+9yPO2vyTPI/79BBcOQ/C17NpNT5rzkVFAyUZ6DbL3irRwh89Fzdueeeu8MJ337bH2Lfffbq8HXN+oJjjjs+Bh90aOP4N914fRy4/5RHMnR1wbv3PvvG908+tXH9OWefGeuuu36sv8GGMX78+FhxuSWjKmcseOvxbqHg1WMOLHjrO4dPnoyCV89ZOQoeC17NrNUFjwWvZi7kv8ajg8KC12E1zyT/8w4dBEf+s+DVTEqd/5pTQcFAeQa65YK3er7sfvsPjt332HO6z9WtSsPfnh4dV1xxWTz7zDNx2dCrGtPvzgveXXf77zjzrHMb9/nUk0/GNltvPtU7viuf4K0AI0c9E3379m08i7dnz56NR15ccP45cfqpp0z5WTN4RMOCS63R4b91E8a/HS2T+sdm29zU4Wt5wfQNVAVv5IiTot/8C8o0vfHiMzFo+9ujte9iMmaJoGuHDoz5Prti9Ghpkdz+O2++EgsvtHOsstaJEl6pkGEPDYlXX78lWvsvIFEw+YMP4s2Xno6d9nhOwisVUhW8u2/dPgYssrhMwdhXX45V1zw1Fl5sOxmzRNAdN20dPXqPi15z9pPcPvkv0Rjkv8ajg0L+O6zmmeR/3qGDQP47rGqYncn/fz3zmOaHQsEABqYx0C0XvFf879Wxyaafa3fcL7/8z/jtb66Jn194fuMZsdXXhhttHFf++jeN/9ydF7yPPPZEzDf//FE9W3i7zw+KiRMnTuXoqGOOi93+a/fGnw0+4BvxyMMPx7vvjm/z1H/AgBj++KjG96tfslY9oqH6OuyII+PwI45qY1XcFZZdIiZNmtT4Mxa89fhvHgpePebQ3ikoePWcDQWvnnOh4NVzLtWpOlPwZuYuWPDOjKWOX0P+d+xoVr2C/J9V5mf8c8n/es6F/K/nXDqb/yx46ztHTtb8BrrlgnfoldfExpts2jadapF7y803xrln/zRefPGFaaa2wYYbxVVX/7bx5yUseDvztn39tddirTVWblwyvQVvS0tLjHr6uejdu3fjdUOvuCyGHPufhS+PaOiMcd9r+SuaPrdZMn9FM2vQcz1/RdPjNUt1/BVNHtGQncqU69V/RZNHNGjmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPANFLHhHjnwiLvrlL+I3/3d145mwn/xiwTv9N/7MLHirq39wymnx1b2/FpMnT46VV1g6xo0b1wZlwVuP/2Kh4NVjDu2dgoJXz9lQ8Oo5FwpePefCgre+cyH/6zsb8r+esyH/6zkX8r+ec3Hkf33vlJNhoN4GuuWCd3qPaKieEfvQgw80ng977z1/aptMKQve+eabP/rNNdd035HVYxZ22nmXxvcPO/SgGDbssRj79tvx+uuvNf5sep/grb5XfXr3c5ttEa+8/M8YMWL4VD+DBW89/kuAglePObDgre8cPnkyCl49Z0XBq+dcHAWPT/BqZk3+azw6KCx4HVbzTPI/79BBIP8dVjVMPsGr8QgFA1kD3XLBO/fcc8fggw+NL+76X7HAAu3/QqnqE6a33/bHOOfsM2L++Rco4hm8Hb1ZuvpL1jrisuDtyNCn830K3qfjuSs/hYLXFWv+ayh4fsdd+QkUvK5Y+3SuURc8FryauZH/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM9At1zwfnyMSy29THzrsG/HllttHa2tre1O+L333os55pij8b3u/Azejt7eLHg7MtTc36fg1Xd+FLx6zoaCV8+5UPDqOZfG/w91w6B4683Ho0ePHpJDsuCVaAzyX+PRQSH/HVbzTPI/79BBIP8dVjVMdf5rTgUFA+UZ6PYL3o+PdLPNtogDDzok1l5n3ejZs2e70x47dmz8/MLz46Jf/WKq58iW8NZgwdu9p0zBq+98KXj1nA0Fr55zoeDVcy4seOs7F/K/vrMh/+s5G/K/nnMh/+s5F0f+1/dOORkG6m2gqAXvR6NoaWmJr+y1d+OXgi29zLLtftKk+tTIX0eNiisuvySGXnFZ45eHdfev7534g9j3G/s1bnOXnbaPRx95eKpbrh59MWLk6MafXX7ZJXHCkGNmSslHj2h46623YrWVl5upaz7+oimf4FkzNt/ulk5fywX/MUDBq++7gYJXz9lQ8Oo5FwpePefiKHh8glcza/Jf49FBIf8dVvNM8j/v0EEg/x1WNUw+wavxCAUDWQNFLng/Lq36xWGDBx/SeF7v/Ass0K7Parm7/TZbxpNPjsz65vouGGDB2wVp7VxCwdN4dFAoeA6reSYFL+/QQaDgOaxqmOqCx4JXMxfyX+PRQSH/HVbzTPI/79BBIP8dVjVMdf5rTgUFA+UZKH7B+/GRL7PssnHot74dg7bcaprn9e6x+65x/333lvcOqcEds+DVDIGCp/HooFDwHFbzTApe3qGDQMFzWNUw1QWPBa9mLuS/xqODQv47rOaZ5H/eoYNA/jusapjq/NecCgoGyjPAgnc6M998iy1j8EGHxJprrd14Xi8L3ln3LwcLXo17Cp7Go4NCwXNYzTMpeHmHDgIFz2FVw1QXPBa8mrmQ/xqPDgr577CaZ5L/eYcOAvnvsKphqvNfcyooGCjPAAveDmZePa93zy/vFTfccF289e9/l/cOqcEds+DVDIGCp/HooFDwHFbzTApe3qGDQMFzWNUw1QWPBa9mLuS/xqODQv47rOaZ5H/eoYNA/jusapjq/NecCgoGyjPAgvdjM+/Xr1/jF669/fbb5b0TanzHLHg1w6HgaTw6KBQ8h9U8k4KXd+ggUPAcVjVMdcFjwauZC/mv8eigkP8Oq3km+Z936CCQ/w6rGqY6/zWngoKB8gx02wXv2uusG6uutnpjotUvSbvskosa//eTX3POOWecdc75MWjLrWP22WdvfPu9996Lp54cGQfs9/V45ZWXy3tX1OyOWfBqBkLB03h0UCh4Dqt5JgUv79BBoOA5rGqY6oLHglczF/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5Rnotgvevzw6IhZYYMHGRCdNmhQrLLtETJw4caoJV5/WffDhYbHggp9pd/LV67+5795x1113lPfOqNEds+DVDIOCp/HooFDwHFbzTApe3qGDQMFzWNUw1QWPBa9mLuS/xqODQv47rOaZ5H/eoYNA/jusapjq/NecCgoGyjPQLRe81WK3WvB+9HXxRb+ME797/DTTPe1HZ8Qee35lhlOvPvW7+irLx5gxY8p7d9TkjlnwagZBwdN4dFAoeA6reSYFL+/QQaDgOaxqmOqCx4JXMxfyX+PRQSH/HVbzTPI/79BBIP8dVjVMdf5rTgUFA+UZ6JYL3mOOOz4GH3RoY5rV4xZWWn6pxqd4P/n11789H3PMMUfjj6vv33TjDfF/V1/VeLTDYUccGT179mx879Zbbor9vvG18t4dNbljFryaQVDwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQa65YL319f8LtbfYMPGNIdecVkMOfaoaSa7xaCt4uJLr2j78/PPOzt+dNoP2/65eobvb353feOfq4KxyorLxNixY8t7h9TgjlnwaoZAwdN4dFAoeA6reSYFL+/QQaDgOaxqmOqCx4JXMxfyX+PRQSH/HVbzTPI/79BBIP8dVjVMdf5rTgUFA+UZ6JYL3jvvvi+WXGrpxjQPPfiA+P21v5tmsh9/PMOECRNi+WUWn+aXsN12x59imWWXa1z71S9/Ke6++87y3iE1uGMWvJohUPA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BrrlgnfYiKdiwDzzNKa51uorx+uvvzbNZG/9412x/AorNP58xIjhscN2W0/zmuoxDYcfMeXTvz8+/dQ479yzynuH1OCOWfBqhkDB03h0UCh4Dqt5JgUv79BBoOA5rGqY6oLHglczF/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5Rnolgvep//+YvTq1avxXN2lFl+k3ak++de/R2tra+N70/slbDvtvEucc97PGq+57vfXxiEH7V/eO6QGd8yCVzMECp7Go4NCwXNYzTMpeHmHDgIFz2FVw1QXPBa8mrmQ/xqPDgr577CaZ5L/eYcOAvnvsKphqvNfcyooGCjPQLdc8I5+5oXo3bt3TJw4MZZZctFpplp9r3rNR1/77rNX3H7bH6Z53c67fDHOPvfCxp9Xj2eoHtPA16dvgAWvxjkFT+PRQaHgOazmmRS8vEMHgYLnsKphqgseC17NXMh/jUcHhfx3WM0zyf+8QweB/HdY1TDV+a85FRQMlGegWy54H3pkeCy44Gca01xisYWmebbuVltvE7+86NK2aa+43JIxbty4aaZ/yqk/iq/stXfjz3991f/G0UceXt47pAZ3zIJXMwQKnsajg0LBc1jNMyl4eYcOAgXPYVXDVBc8FryauZD/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM9At1zwXnvdTbHGmms1pnn6qafEBeefM9VkL7rk8hi05ZRn7laL3WrB297X9Tf9IVZddbXGt3502g/j/PPOLu8dUoM7ZsGrGQIFT+PRQaHgOazmmRS8vEMHgYLnsKphqgseC17NXMh/jUcHhfx3WM0zyf+8QweB/HdY1TDV+a85FRQMlGegWy54Dzn08Djy6GMb0xw/fnxsvumG8corLzf+eeDAReOe+x+KlpaWxj/feeftsc9ee7Y7+REjR8fcc8/d+N7gA74RN95wfXnvkBrcMQtezRAoeBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwD3XLB26NHj6h+iVqfPn0aE50wYULce8/dscgii8Zyyy8f1fc/+vryHv8V997zp2kmv+12X4if/eJXbX++/jprxMsv/7O8d0gN7pgFr2YIFDyNRweFguewmmdS8PIOHQQKnsOqhqkueCx4NXMh/zUeHRTy32E1zyT/8w4dBPLfYVXDVOe/5lRQMFCegW654K3G+M39D4wTvnPiDCc6YsTw2GG7KY9q+OTXsBFPxYB55mn88Wuvvhprr7lKee+OmtwxC17NICh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfBY8GrmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAPddsFbjfLAwYfEsUNOaHeq//rXK7Hl5pvE22+/Pc33Dzr4W3H0sUPa/vyySy+O7xw/5ZEPfH36BljwapxT8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGuvWCtxrneutvEHvvs2+svsaa0WfOPvGPf/4jbr7xhjjv3LOmO+37H3wkFlpo4bbvb7jeWjyeYRb+u8GCVyOfgqfx6KBQ8BxW80wKXt6hg0DBc1jVMNUFjwWvZi7kv8ajg0L+O6zmmeR/3qGDQP47rGqY6vzXnAoKBsoz0O0XvOWNtPvdMQtezUwpeBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwDLHg7OfMLfvY/sdrqa8QxRx3R7i9n6ySOl8+EARa8MyFpJl5CwZsJSbPoJRS8WSS+gx9LwavnXCh49ZxLdSp1wWPBq5k1+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDg7eTMH/jLY43HN5ww5Ji4/LJLOnk1L++KARa8XbE27TUUPI1HB4WC57CaZ1Lw8g4dBAqew6qGqS54LHg1cyH/NR4dFPLfYTXPJP/zDh0E8t9hVcNU57/mVFAwUJ4BFrydnDkL3k4KE7ycBa9AYkRQ8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPB2cuYseDspTPByFrwCiSx4NRJNFAqeSWwSS8FLCjRdTsEziRVg1QWPBa9gKOS/RqKJQv6bxCax5H9SoOly8t8kVoBV57/gSCAwUKQBFrydHDsL3k4KE7ycBa9AIgVPI9FEoeCZxCaxFLykQNPlFDyTWAFWXfBY8AqGQv5rJJoo5L9JbBJL/icFmi4n/01iBVh1/guOBAIDRRpgwdvJsbPg7aQwwctZ8AokUvA0Ek0UCp5JbBJLwUsKNF1OwTOJFWDVBY8Fr2Ao5L9GoolC/pvEJrHkf1Kg6XLy3yRWgFXnv+BIIDBQpAEWvJ0cOwveTgoTvJwFr0AiBU8j0USh4JnEJrEUvKRA0+UUPJNYAVZd8FjwCoZC/mskmijkv0lsEkv+JwWaLif/TWIFWHX+C44EAgNFGmDB28mxs+DtpDDBy1nwCiRS8DQSTRQKnklsEkvBSwo0XU7BM4kVYNUFjwWvYCjkv0aiiUL+m8QmseR/UqDpcvLfJFaAVee/4EggMFCkARa8nRw7C95OChO8nAWvQCIFTyPRRKHgmcQmsRS8pEDT5RQ8k1gBVl3wWPAKhkL+aySaKOS/SWwSS/4nBZouJ/9NYgVYdf4LjgQCA0UaYMHbybGz4O2kMMHLWfAKJFLwNBJNFAqeSWwSS8FLCjRdTsEziRVg1QWPBa9gKOS/RqKJQv6bxCax5H9SoOly8t8kVoBV57/gSCAwUKQBFrydHDsL3k4KE7ycBa9AIgVPI9FEoeCZxCaxFLykQNPlFDyTWAFWXfBY8AqGQv5rJJoo5L9JbBJL/icFmi4n/01iBVh1/guOBAIDRRpgwdvJsbPg7aQwwctZ8AokUvA0Ek0UCp5JbBJLwUsKNF1OwTOJFWDVBY8Fr2Ao5L9GoolC/pvEJrHkf1Kg6XLy3yRWgFXnv+BIIDBQpAEWvJ0cOwveTgoTvJwFr0AiBU8j0USh4JnEJrEUvKRA0+UUPJNYAVZd8FjwCoZC/mskmijkv0lsEkv+JwWaLif/TWIFWHX+C44EAgNFGmDB28mxs+DtpDDBy1nwCiRS8DQSTRQKnklsEkvBSwo0XU7BM4kVYNUFjwWvYCjkv0aiiUL+m8QmseR/UqDpcvLfJFaAVee/4EggMFCkARa8nRw7C95OChO8nAWvQCIFTyPRRKHgmWBu13AAACAASURBVMQmsRS8pEDT5RQ8k1gBVl3wWPAKhkL+aySaKOS/SWwSS/4nBZouJ/9NYgVYdf4LjgQCA0UaYMHbybGz4O2kMMHLWfAKJFLwNBJNFAqeSWwSS8FLCjRdTsEziRVg1QWPBa9gKOS/RqKJQv6bxCax5H9SoOly8t8kVoBV57/gSCAwUKQBFrydHDsL3k4KE7ycBa9AIgVPI9FEoeCZxCaxFLykQNPlFDyTWAFWXfBY8AqGQv5rJJoo5L9JbBJL/icFmi4n/01iBVh1/guOBAIDRRpgwdvJsbPg7aQwwctZ8AokUvA0Ek0UCp5JbBJLwUsKNF1OwTOJFWDVBY8Fr2Ao5L9GoolC/pvEJrHkf1Kg6XLy3yRWgFXnv+BIIDBQpAEWvDMY+4knnRxbb7Nt4xV777VHPD16dFR/tvIqq8bJPzgxhj32aJFvmk/7plnwaoy/+Oy18egD344PJr2jAUZEy2x9Yqsd747WvovJmCWCKHj1nDoFr55zoeDVcy7VqdQFjwWvZtbkv8ajg0L+O6zmmeR/3qGDQP47rGqY6vzXnAoKBsozwIJ3BjO/9rqbYo0112q8Yo/dd43777u3vHdIDe6YBa9mCBQ8jUcHhYLnsJpnUvDyDh0ECp7DqoapLngseDVzIf81Hh0U8t9hNc8k//MOHQTy32FVw1Tnv+ZUUDBQngEWvCx4a/+uZ8GrGREFT+PRQaHgOazmmRS8vEMHgYLnsKphqgseC17NXMh/jUcHhfx3WM0zyf+8QweB/HdY1TDV+a85FRQMlGeABS8L3tq/61nwakZEwdN4dFAoeA6reSYFL+/QQaDgOaxqmOqCx4JXMxfyX+PRQSH/HVbzTPI/79BBIP8dVjVMdf5rTgUFA+UZYMHLgrf273oWvJoRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwsuCt/bueBa9mRBQ8jUcHhYLnsJpnUvDyDh0ECp7DqoapLngseDVzIf81Hh0U8t9hNc8k//MOHQTy32FVw1Tnv+ZUUDBQngEWvCx4a/+uZ8GrGREFT+PRQaHgOazmmRS8vEMHgYLnsKphqgseC17NXMh/jUcHhfx3WM0zyf+8QweB/HdY1TDV+a85FRQMlGeABS8L3tq/61nwakZEwdN4dFAoeA6reSYFL+/QQaDgOaxqmOqCx4JXMxfyX+PRQSH/HVbzTPI/79BBIP8dVjVMdf5rTgUFA+UZYMHLgrcp3vXzzLdObLbtDU1x1roe8sXnrotH/3x4fDDpHdkRW2brE1vteHe09l1MxiwRRMGr59QpePWcCwWvnnOpTqUueCx4NbNmwavx6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgZcFb+3c9n+DVjIiCp/HooFDwHFbzTApe3qGDQMFzWNUw1QWPBa9mLuS/xqODQv47rOaZ5H/eoYNA/jusapjq/NecCgoGyjPQLRe8e355r9hu+x3S01xjzbWib9++Dc4eu+8a9993b5oJoPMGWPB23ll7V1DwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQa65YJ36JXXxMabbCqdJgteqc5OwVjwdkrXdF9MwdN4dFAoeA6reWZV8J4dfXEe9DFCy2xzxM57Pi9llgaj4NV34uqCx4JXM2vyX+PRQSH/HVbzTBa8eYcOAvnvsKphqvNfcyooGCjPAAvemZw5C96ZFGV4GQtejVQKnsajg0LBc1jNM1nw5h06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeyYI379BBIP8dVjVMdf5rTgUFA+UZ6JYL3uoRDdtu9wXpNI89+tvxj3+8JGUCmzkDLHhnzlNHr6LgdWRo1n2fgjfr3M/oJ7PgredcKHj1nEt1KnXBY8GrmTX5r/HooJD/Dqt5JgvevEMHgfx3WNUw1fmvORUUDJRnoFsueMsbY/e+Yxa8mvlS8DQeHRQKnsNqnsmCN+/QQaDgOaxqmOqCx4JXMxfyX+PRQSH/HVbzTBa8eYcOAvnvsKphqvNfcyooGCjPAAve8mbedHfMglczMgqexqODQsFzWM0zWfDmHToIFDyHVQ1TXfBY8GrmQv5rPDoo5L/Dap7Jgjfv0EEg/x1WNUx1/mtOBQUD5RlgwTuDmQ+YZ5449NDDY4cdd46999ojRo58orx3SA3umAWvZggUPI1HB4WC57CaZ7LgzTt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8kwVv3qGDQP47rGqY6vzXnAoKBsozwIL3EzPv2bNnfHWffWOvvfaOJZdauu27/JK1WfcvBwtejXsKnsajg0LBc1jNM1nw5h06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeyYI379BBIP8dVjVMdf5rTgUFA+UZYMH7/2c+aMut48DBB8daa68TLS0t07wTWPDOun85WPBq3FPwNB4dFAqew2qeyYI379BBoOA5rGqY6oLHglczF/Jf49FBIf8dVvNMFrx5hw4C+e+wqmGq819zKigYKM9A0Qve5ZZfPr512Ldj8y22jD59+rQ7/cmTJ8cTTzweX99nr3j11X+V9w6pwR2z4NUMgYKn8eigUPAcVvNMFrx5hw4CBc9hVcNUFzwWvJq5kP8ajw4K+e+wmmey4M07dBDIf4dVDVOd/5pTQcFAeQaKW/BWz9U9+OBvxc677BrzzT9/uxOvCsXfn/lbDB16eVx+6cUxceLE8t4ZNbpjFryaYVDwNB4dFAqew2qeyYI379BBGDvmb3HnTZ+PSZPekeFn69ka62x0Xiy82HYyZokgdcFjwat5F5H/Go8OCvnvsJpnsuDNO3QQWPA6rGqY6vzXnAoKBsozUMSCt3qu7le+uk/svffXpnqubnvjHvXUU/Hfu+0UY8aMKe/dUNM7ZsGrGQwFT+PRQaHgOazmmSx48w4dBNuCd+PzY+FFt3UcuRimuuCx4NW8dch/jUcHhfx3WM0zWfDmHToILHgdVjVMdf5rTgUFA+UZ6NYL3i0GbRWDDzpkus/VrcZdLXKrT+uuseZajenfftsfYt999irvnVDjO2bBqxkOBU/j0UGh4Dms5pksePMOHQQWvA6rGqa64JH/mrmQ/xqPDgr577CaZ7LgzTt0EFjwOqxqmOr815wKCgbKM9AtF7z7fmO/OOro46b7XN0JEybEvffcHeec/dMY9tijseFGG8eVv/4NC96avv8peJrBUPA0Hh0UCp7Dap7Jgjfv0EFgweuwqmGqCx75r5kL+a/x6KCQ/w6reSYL3rxDB4EFr8OqhqnOf82poGCgPAPdcsE79MprYuNNNp1qmtUvS3vs0UfiFz+/MG65+capvrfBhhvFVVf/lgVvTd//FDzNYCh4Go8OCgXPYTXPZMGbd+ggsOB1WNUw1QWP/NfMhfzXeHRQyH+H1TyT/M87dBBY8Dqsapjq/NecCgoGyjNQxIL34ot+GSd//3sxadKkdifMgrfeb3wKnmY+FDyNRweFguewmmdS8PIOHQQWvA6rGqa64JH/mrmQ/xqPDgr577CaZ5L/eYcOgi3/+SWr6XGp8z99IAAYKNRAEQvearZvvvFGXHfdtXHu2T+N119/bapxs+Ct97ufgqeZDwVP49FBoeA5rOaZFLy8QwfBVvD4JWvpcakLHvmfHkkDQP5rPDoo5L/Dap5J/ucdOgi2/GfBmx6XOv/TBwKAgUINdMsF74GDD4kjjjw6evXq1e5YX3jh+bhy6BXxq1/+PKrn8bLgrfe7n4KnmQ8FT+PRQaHgOazmmRS8vEMHwVbwWPCmx6UueOR/eiQseDUKbRTy36Y2BSb/U/psF9vynwVvembq/E8fCAAGCjXQLRe8H81yp513iW/sd2Csssqq0aNHj2lGXBWHkSOfaDybd6+v7tP4/u23/SH23WevQt8O9bxtCp5mLo4Fb8/Z+8WgL9wZrX0X1RyyUMq1Qz8bkye/J7v76t+ZZVY8MFZd+yQZs0QQBa+eU7cVPBa86YGrCx75nx4JC16NQhuFBa9NbQpM/qf02S625T8L3vTM1PmfPhAADBRqoFsveD+aae/eveMb3zwg9vjyV2LRRReb4ajvv+/e2GP3XQt9O9Tztil4mrk4Frwts/WJrXa8O1r7zvjfK80ddF8KBa+es6Xg1XMutoLHgjc9cHXBI//TI2HBq1Foo5D/NrUpMPmf0me72Jb/LHjTM1Pnf/pAADBQqIEiFrwfn+1CCy0ch3zr8Nj+CztG//792x37+PHj4647b4/zzjmr8QlfvmatAQqexj8LXo1HB4WC57CaZ1Lw8g4dBFvBY8GbHpe64JH/6ZGw4NUotFHIf5vaFJj8T+mzXWzLfxa86Zmp8z99IAAYKNRAcQvej8959TXWjG8ddkRsvMnnpvu83rfeeituufnGOPn734uxY8cW+jaZtbdNwdP4Z8Gr8eigUPAcVvNMCl7eoYNgK3gseNPjUhc88j89Eha8GoU2CvlvU5sCk/8pfbaLbfnPgjc9M3X+pw8EAAOFGih6wfvxme+8yxcbz+tdeeVV2n1eb/XYhurxDd3xa7755o/qMRb/+MdLtbw9Cp5mLCx4NR4dFAqew2qeScHLO3QQbAWPBW96XOqCR/6nR8KCV6PQRiH/bWpTYPI/pc92sS3/WfCmZ6bO//SBAGCgUAMseD8x+DnnnDO+/o39G8/rHTjwP784qrsseKtfNveVvfaO//7SnrHkkktFa2vrVAvtN994Iy695KI45+wzY/LkyVPZqV579z0PtP3ZHXfcFkcfefh0/9Wpftadd98Xffv2a7zmueeejd2+uGOn/1Wj4HVaWbsXsODVeHRQHAVv2ZW/FausebzjuMUwRzx8YoweeX60tLTI7rlltjli5z2fl/FKBNkKHgve9NtJXfDI//RIWPBqFNoojvznl6zmx8WCN+/QQbDlPwve9LjU+Z8+EAAMFGqgWy54+/XrF/37D2iM9KWXXoyqIHTla5FFBjae17vNttvHV7+8e4wYMbwrmFpds9lmW8SlV1zZ4Zkef3xEfGHbraZ6Xf8BA2L446Pa/qzyuubqK0W1FG7va/8DDoohJ3y37VtjxoyJVVdatsOf/ckXUPA6razdC1jwajw6KBQ8h9U8k4KXd+gg2AoeC970uNQFj/xPj6QBIP81Hh0U8t9hNc8k//MOHQRb/rPgTY9Lnf/pAwHAQKEGuuWC94r/vTo22fRzjZEOPuAbceMN1xc63mlv++ML3mr5PeyxR2P4sGHxYXwYgwZtFRtsuFHbRT8988dx1pk/afvnTy54q2/ceMN1MfiAb7brd9jjo2LAgCmL9uqLBe+sfRtS8Gat/xn9dApePWdDwavnXGwFjwVveuDqgseCNz2SBoD813h0UMh/h9U8k/zPO3QQbPnPgjc9LnX+pw8EAAOFGuiWC96hV14TG2+yaWOkBw/eL66/7veFjnfa215llVXjtB+fGd/7zpB4+C8PTfOCwQcdGsccN+WvdVefWN5hu63bXtPegrd6jEP1qdxP/gK66pnGZ5974VR8Fryz9m1IwZu1/lnw1tf/9E5GwavnzGwFjwVveuDqgseCNz0SFrwahTYKC16b2hSY/E/ps11M/tvUpsHq/E8fCAAGCjXAgrfQwU/vtqtnEI96+rnGt6tfurbhemu1u+B99JGHY8211m587+pfXxlHffuwqZD3P/hIVI+4eO3VV6O1b9/o06cPn+Cdxe81FryzeAAz+PEUvHrOhoJXz7lQ8Oo5l+pU6oLHglcza/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5RlgwVvezGd4xzvsuFOcd8EvGq+56647Yu+v7NHugveKyy+NzbcY1Fjivv/++7HS8kvFhAkTGq+tHvNw1dW/bfzn6pewnfj9U1jw1uB9RsGrwRCmcwQKXj1noy541d946Df3MvH5ne+v5w03yanGjn027v3DbvHu+JdkJ+45e79Ye+MLYuGB//lbKzJ4QaC7btkxXv/Xn2W/mJAFr+bNQ/5rPDoo5L/Dap6pzv/qRPyS1fxcWPDmHboILHhdZuFioHMGWPB2zle3ffXAgYvGbv+9exx8yGEx++yzR7WI2GTDdRu/pO6jr48/oqFa8D7w5/valsEXX/TLOPG7Ux7tcOsf74rlV1ih7RO7T41+lgVvDd45FLwaDIEFb32H0M7JKHj1HBcFr55zqU7lKHifGbhNbLj5pfW96SY42T9euDkevv9b8cH7Y2SnnWPOhWLTra+LvnMtJmOWCLr12vVj3NhnZbde/Y8iy6x4YKy69kkyZokg8r+eUyf/6zkXV/7X9245GQbqa4AFb31n86mc7PwLfxGbb7FltLa2tv286rEK3z780Lj77junOsMnF7zHH3d0PDb8yZhn3nkbn95dfpnFY6mll47b7rincd1pPzw5Lrzg3GDB+6mMssMfwoK3Q0Wz7AV8gmeWqZ/hD6bg1XMuFLx6zsVR8PgEr2bW5L/Go4Oizv/qAxorrn5crLjaEY7jFsN8cviPYtSIM6T3yyd48zrJ/7xDF8HxP/C6zgoXA93ZAAve7jzdmbi3u/50fyyx5FJtr5w0aVL89jfXxAlDjml75MJH32xvwbv3PvvG908+tfGSc84+M9Zdd/1Yf4MNY/z48bHicktGVc5mtOAdsPDSHZ7y/ffGRa/ZFo7Ntrmpw9fygukbqAre48O+E3PONZdM09jXXolBX7gzWvvyCZ6M1N8NXSTmXnCx6NGjJYNpu/bdsW/GogN3j1XWPlHCKxUy7KFj4+WXr485+vaXKPhw8gdR/Tuz055TnnPOV9cMVAXv7lu3j9Z55+saoJ2r3h0zJlZf58ex8KLbypglgu64cauY1OP1mL13H8ntk/8SjUH+azw6KOS/w2qeqc7/yR98EGNffyV2Jv9Twxn79jNT8n+eeVOcj19M/mtUdib///3Pv2l+KBQMYGAaA91+wTtx4sTGM2KzX//1xR1j5MgnspjaXX/IoYfHeutvEAPmmSeWXHKpxqMUqq9qQfu5jdePV1/9V9uZ21vwVt8cOeqZ6Nu3b8Nzz549o0ePHnHB+efE6aee0rh2RgveBZdao0MnE8a/HS2TBsRm29zY4Wt5wfQNVAVv5IiTot/8C8o0vfHiMzFo+9tZ8CaNVgVv/s+uFD1aNAved958JRZeaOdYZS0WvJnRDHvouHjt9VujT/8FMpi2a6uC9+ZLT8dOe7DgzQhtLHj/8IUYsMjiGcxU17796sux2lqnseBNGr3jpq2jR+9x0WvOfknSlMvJf4nGxoKX/Ne4VFPIf7VRDY/813hUU8h/tVEdrzP5/69nHtP9YEgYwMBUBrr9glc17z123zXuv+9eFa62nNN+dEbssedXGucb9dRT8fmtNms76/QWvIcdcWQcfsRRba+rluorLLtEVJ8Grr5mtODtNWffDl1M/mBS9Jtrxdh825s7fC0vmL6BquAN+8sx0aNlylwUXx+8/2FsucNdLHiTMqu/otmzd+/G/zii+Jo0cUIsuezXeQZfUuawB4+N558dGrP17JUkTbm8+hsNk9//IHba83kJr1RI469o3rxNtPT8UKbgww9aYq0Nz2HBmzRa/RXNceP+Fi2z9UySplxO/ks0Nha85L/GpZpC/quNanjkv8ajmkL+q43qeJ3J/4nvvqP7wZAwgIGpDLDgnck3RCkL3krHR5/IrRa0Sy2+SJuh6S14W1paYtTTz0Xv3r0brx16xWUx5Nj/LHx5Bu9MvsnML+MZfGbBCbz6GXz8kpXEMD52Kc/g1XhUU3gGn9qojqd+Bh/P4NXMhvzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQa6/YK3WjY+9OCf05O99Zab4913301zmgHw8efyrrPmqm2PaZjegre6px+cclp8de+vRfXLHVZeYekYN25c262y4K3H1Cl49ZhDe6eg4NVzNhS8es6FglfPuVSnUhc8FryaWZP/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM9At1/wHjx4v7j+ut+XN9nEHQ9/4q/Rv3//xl8nXvKzCzeWttXXjBa81ad3P7fZFvHKy/+MESOGT/XTWfAmhiG8lIInlClGUfDEQkU4Cp5IpBhDwRMLFeLUBY8Fr2Y45L/Go4NC/jus5pnkf96hg+DI/9l79Y+1N7ogFho4yHHkYpj33f7lePmlP0T1N3v5wgAGZp0BFryzzv0s+cn77T84Hn74oXj0kYfb/fm7/dfuccZPz2l876233orVVl6u7XUzWvDO6GZY8M6SUU/zQyl49ZhDe6eg4NVzNhS8es7FUfBm69ka62x8Ps/gTY6cBW9SoOly8t8kVoAl/wUSDQjy3yBVgCT/BRJNCHX+m44JFgPd3gAL3m4/4qlv8L4HHo6BAxeN559/Lq6+6sp48ME/x2OPPhJLLb10HHzI4bHDjju1/aKnM3/yozj7rDNY8HaT9wgFr76DpODVczYUvHrOhYJXz7lUp1IXPD7Bq5k1+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgLWzmHy14O7rtJ554PLbfZsupXsYneDuyVu/vU/DqOx8KXj1nQ8Gr51woePWcCwve+s6F/K/vbMj/es6G/K/nXMj/es7Fkf/1vVNOhoF6G2DBW+/5yE/3lb32jv0PPCgWW+yz7bInTpwYZ535kzj/vLOn+f7cc88dI0aObvz55ZddEicMOWamzvfRIxo++ciHmbo4ovEs4HnmWzM23+6Wmb2E17VjgIJX37cFBa+es6Hg1XMuFLx6zsVR8Mh/zazJf41HB4X8d1jNM8n/vEMHgfx3WNUw+QSvxiMUDGQNsODNGmzS63v16hXLLbd8rLDiSrH4EkvEiy+80Hg279Ojpyxw6/RFwdNMg4Kn8eigUPAcVvNMCl7eoYNAwXNY1TDVBY/818yF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5Brrlgnf3L+0Z22y3fWOa3z/xu/Hs358pb7Ld6I4peJphUvA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64JH/mrmQ/xqPDgr577CaZ5L/eYcOAvnvsKphqvNfcyooGCjPQLdc8M7sGFtbW+Pdd9+NyZMnz+wlvG4WGKDgaaRT8DQeHRQKnsNqnknByzt0ECh4Dqsaprrgkf+auZD/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM9AMQvegQMXjSOPOjaWXnbZWOgzC0X1C8N69uzZmPh7770Xr7/+Wrzw/PPx4AN/jrPPOqPx3Fe+6mGAgqeZAwVP49FBoeA5rOaZFLy8QweBguewqmGqCx75r5kL+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDHT7BW/v3r3jRz85K3baeZfo0aPHTE34nXfeie+ecFz85v+unqnX8yKvAQqexi8FT+PRQaHgOazmmRS8vEMHgYLnsKphqgse+a+ZC/mv8eigkP8Oq3km+Z936CCQ/w6rGqY6/zWngoKB8gx06wXvZpttEb/41SVRLXm78vX3Z/4Wn99q85g4cWJXLucakQEKnkYkBU/j0UGh4Dms5pkUvLxDB4GC57CqYaoLHvmvmQv5r/HooJD/Dqt5Jvmfd+ggkP8OqxqmOv81p4KCgfIMdNsFb79+/eLhx56IOeaYo22qVVEY9tijMXLkE/H006Pjub//PWbv1SuWX36FWGbZ5WLd9daLhRZaeKp3wR133BZf++qXy3tn1OiOKXiaYVDwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCR/5q5kP8ajw4K+e+wmmeS/3mHDgL577CqYarzX3MqKBgoz0C3XfD+32+vi3XWXa9tog/8+f448ohvxYsvvjDDKe+w405x4kmnxHzzz9/2uoMH7xfXX/f78t4dNbljCp5mEBQ8jUcHhYLnsJpnUvDyDh0ECp7DqoapLnjkv2Yu5L/Go4NC/jus5pnkf96hg0D+O6xqmOr815wKCgbKM9AtF7ybb7FlXHLZ0LZpXnLxr+J73xky09NtaWmJhx4eHvMvsEDjmuqXsC239Gdn+npeqDVAwdP4pOBpPDooFDyH1TyTgpd36CBQ8BxWNUx1wSP/NXMh/zUeHRTy32E1zyT/8w4dBPLfYVXDVOe/5lRQMFCegW654D39x2fGl/aY8liFUU89FZ/farNOT3axxT4bd/7p/ujZs2fj2g3XWyv+8Y+XOs3hgrwBCl7eYUWg4Gk8OigUPIfVPJOCl3foIFDwHFY1THXBI/81cyH/NR4dFPLfYTXPJP/zDh0E8t9hVcNU57/mVFAwUJ6BbrngvfGW22LllVdpTPO/d9s5Hnzgz12a7GVDr4rPfW7zxrVHH3l4/Pqq/+0Sh4tyBih4OX8fXU3B03h0UCh4Dqt5JgUv79BBoOA5rGqY6oJH/mvmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAPdcsH7+JNPx1xzzRVVMVhisYUa/7crXwcfclgcdcxxjUuvufqqxjN8+fr0DVDwNM4peBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wyH/NXMh/jUcHhfx3WM0zyf+8QweB/HdY1TDV+a85FRQMlGegWy54n33h5aieoztu3LhYcbkluzzVDTfaOK789W8a1z/6yMOxy07bd5nFhV03QMHruruPX0nB03h0UCh4Dqt5JgUv79BBoOA5rGqY6oJH/mvmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAPdcsE7ctQz0bdv38Yndxdf9DNdnuo39z8wTvjOiY3rf3/t7+LQgw/oMosLu26Agtd1dyx4Ne7cFAqeTF/k4QAAIABJREFU23DX+BS8rnlzX0XBcxvuOl9d8Mj/rs+C/Ne4c1PIf7fhrvHJ/655c19F/rsNd52vzv+un4QrMVC2gW654L31j3fF8ius0JjsDtttHSNGDO/SlH918WWx5Vafb1x7wpBj4vLLLukSh4tyBih4OX8fXc0neDQeHRQKnsNqnknByzt0ECh4Dqsaprrgkf+auZD/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM9At1zwnnXOBbHLF3dtTPO+e++JPb+0W6cnO2CeeeLBvwyL3r17N67dZMN144UXnu80hwvyBih4eYcVgYKn8eigUPAcVvNMCl7eoYNAwXNY1TDVBY/818yF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BrrlgnennXeJc877Wds0T/7BifE/P7+wU9O960/3xxJLLtW4ZuLEibHMkot26nperDNAwdO4pOBpPDooFDyH1TyTgpd36CBQ8BxWNUx1wSP/NXMh/zUeHRTy32E1zyT/8w4dBPLfYVXDVOe/5lRQMFCegW654K3GeNsdf4plll2uMdGqIFz96yvje98ZEu++++4Mp7zSSivH2ede0HZt9eITv3dCXPyr/ynv3VGTO6bgaQZBwdN4dFAoeA6reSYFL+/QQaDgOaxqmOqCR/5r5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwD3XbBu8ACC8afH3o0evbs2TbV999/P2668YZ47LFH4onHR8Sop56Mvn37xSqrrhYrrrhSbLbFoFhjjTWnehdUz++tnuPL16wzQMHTuKfgaTw6KBQ8h9U8k4KXd+ggUPAcVjVMdcEj/zVzIf81Hh0U8t9hNc8k//MOHQTy32FVw1Tnv+ZUUDBQnoFuu+CtRrn7l/aM0398ZvTo0aNLkx0zZkxssuE6Uf1fvmadAQqexj0FT+PRQaHgOazmmRS8vEMHgYLnsKphqgse+a+ZC/mv8eigkP8Oq3km+Z936CCQ/w6rGqY6/zWngoKB8gx06wVvNc6FFlo4zr/wF7HW2uvM9HQnTZoUl1z0y6ie3VuVC75mrQEKnsY/BU/j0UGh4Dms5pkUvLxDB4GC57CqYaoLHvmvmQv5r/HooJD/Dqt5Jvmfd+ggkP8OqxqmOv81p4KCgfIMdPsF70cjXWfd9eLY406IRRdbLAYMmCd69erVNu2qQIwfPz5ef/21eHzE8Dh+yDHx1r//Xd67oaZ3TMHTDIaCp/HooFDwHFbzTApe3qGDQMFzWNUw1QWP/NfMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQaKWfB+crS9e/eOVVdbPd5669/x9OjR5U2+ie6YgqcZFgVP49FBoeA5rOaZFLy8QweBguewqmGqCx75r5kL+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDHTLBe/Xv7l/7LjTLo1pHnPk4TFq1FPlTbYb3TEFTzNMCp7Go4NCwXNYzTMpeHmHDgIFz2FVw1QXPPJfMxfyX+PRQSH/HVbzTPI/79BBIP8dVjVMdf5rTgUFA+UZ6JYL3qFXXhMbb7JpY5oHD94vrr/u9+VNthvdMQVPM0wKnsajg0LBc1jNMyl4eYcOAgXPYVXDVBc88l8zF/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5RlgwVvezJvujil4mpFR8DQeHRQKnsNqnknByzt0ECh4Dqsaprrgkf+auZD/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM8AC97yZt50d0zB04yMgqfx6KBQ8BxW80wKXt6hg0DBc1jVMNUFj/zXzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MKnmZkFDyNRweFguewmmdS8PIOHQQKnsOqhqkueOS/Zi7kv8ajg0L+O6zmmeR/3qGDQP47rGqY6vzXnAoKBsozwIK3vJk33R1T8DQjo+BpPDooFDyH1TyTgpd36CBQ8BxWNUx1wSP/NXMh/zUeHRTy32E1zyT/8w4dBPLfYVXDVOe/5lRQMFCeARa85c286e6YgqcZGQVP49FBoeA5rOaZFLy8QweBguewqmGqCx75r5kL+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDHT7Be9NN14fj48YkZ7sFZdfEm+//XaaA6DzBih4nXfW3hUUPI1HB4WC57CaZ1Lw8g4dBAqew6qGqS545L9mLuS/xqODQv47rOaZ5H/eoYNA/jusapjq/NecCgoGyjPQ7Re8qpHusfuucf9996pwcDphgILXCVkzeCkFT+PRQaHgOazmmRS8vEMHgYLnsKphqgse+a+ZC/mv8eigkP8Oq3km+Z936CCQ/w6rGqY6/zWngoKB8gyw4J3JmbPgnUlRhpdR8DRSKXgajw4KBc9hNc+k4OUdOggUPIdVDVNd8Mh/zVzIf41HB4X8d1jNM8n/vEMHgfx3WNUw1fmvORUUDJRnoNsveN955514d/z49GT3+NKu8fTo0WkOgM4boOB13ll7V1DwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCR/5q5kP8ajw4K+e+wmmeS/3mHDgL577CqYarzX3MqKBgoz0C3X/AePHi/uP6635c32W50xxQ8zTApeBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wyH/NXMh/jUcHhfx3WM0zyf+8QweB/HdY1TDV+a85FRQMlGeABW95M2+6O6bgaUZGwdN4dFAoeA6reSYFL+/QQaDgOaxqmOqCR/5r5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TEFTzMyCp7Go4NCwXNYzTMpeHmHDgIFz2FVw1QXPPJfMxfyX+PRQSH/HVbzTPI/79BBIP8dVjVMdf5rTgUFA+UZYMFb3syb7o4peJqRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64JH/mrmQ/xqPDgr577CaZ5L/eYcOAvnvsKphqvNfcyooGCjPAAve8mbedHdMwdOMjIKn8eigUPAcVvNMCl7eoYNAwXNY1TDVBY/818yF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzprtjCp5mZBQ8jUcHhYLnsJpnUvDyDh0ECp7DqoapLnjkv2Yu5L/Go4NC/jus5pnkf96hg0D+O6xqmOr815wKCgbKM9AtF7yXXnFlbLbZFo1pfvPr+8Qfbr25vMl2ozum4GmGScHTeHRQKHgOq3kmBS/v0EGg4Dmsapjqgkf+a+ZC/ms8Oijkv8Nqnkn+5x06COS/w6qGqc5/zamgYKA8A91ywVveGLv3HVPwNPOl4Gk8OigUPIfVPJOCl3foIFDwHFY1THXBI/81cyH/NR4dFPLfYTXPJP/zDh0E8t9hVcNU57/mVFAwUJ4BFrzlzbzp7nhKwVsjNt/u1qY7e50OTMGr0zSmPgsFr56zoeDVcy4UvHrOpTqVuuCx4NXMmvzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQZY8JY386a7Yxa8mpFR8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MWvJqRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzprtjFryakVHwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQZY8JY386a7Yxa8mpFR8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MWvJqRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzprtjFryakVHwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQZY8JY386a7Yxa8mpFR8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MWvJqRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzprtjFryakVHwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQZY8JY386a7Yxa8mpFR8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MWvJqRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzprtjFryakVHwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQZY8JY386a7Yxa8mpFR8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MWvJqRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzprtjFryakVHwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQZY8JY386a7Yxa8mpFR8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MWvJqRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzprtjFryakVHwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQZY8JY386a7Yxa8mpFR8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MWvJqRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzprtjFryakVHwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQZY8JY386a7Yxa8mpFR8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MWvJqRUfA0Hh0UCp7Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzprtjFryakVHwNB4dFAqew2qeScHLO3QQKHgOqxqmuuCx4NXMhfzXeHRQyH+H1TyT/M87dBDIf4dVDVOd/5pTQcFAeQZY8JY386a7Yxa8mpFR8DQeHRQKnsNqnknByzt0ECh4DqsaprrgseDVzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MWvJqRUfA0Hh0UCp7Dap5ZFby///Wi6NGjRx72/wkts80RO+/5vIxXIoiCV9+pqwseC17NrMl/jUcHhfx3WM0zWfDmHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TELXs3IKHgajw4KBc9hNc9kwZt36CBQ8BxWNUx1wWPBq5kL+a/x6KCQ/w6reSYL3rxDB4H8d1jVMNX5rzkVFAyUZ4AFb3kzb7o7ZsGrGRkFT+PRQaHgOazmmSx48w4dBAqew6qGqS54LHg1cyH/NR4dFPLfYTXPZMGbd+ggkP8OqxqmOv81p4KCgfIMsOAtb+bT3PFCCy0cb775RkyYMKGWNljwasZCwdN4dFAoeA6reSYL3rxDB4GC57CqYaoLHgtezVzIf41HB4X8d1jNM1nw5h06COS/w6qGqc5/zamgYKA8Ayx4C5t5796948DBh8QXdtgxFhm4aMw555xtz5d8//3347ln/x7fPuJbMXzYY9OYaW1tjbvveaDtz++447Y4+sjDp2uwem7lnXffF3379mu85rnnno3dvrhjp42z4O20snYvoOBpPDooFDyH1TyTBW/eoYNAwXNY1TDVBY8Fr2Yu5L/Go4NC/jus5pksePMOHQTy32FVw1Tnv+ZUUDBQngEWvIXN/JBDD48jjz62w7v+4cnfj5//7PypXtd/wIAY/viotj+riteaq68Ub77xRru8/Q84KIac8N22740ZMyZWXWnZDn/2J1/AgrfTyljwapR9ahQK3qemulM/iAVvp3R9ai8e+/YzceeNW8ekSe/IfuZsPVtjnY3Oi4UX207GLBGkLngseDXvIha8Go8OCvnvsJpnsuDNO3QQWPA6rGqY6vzXnAoKBsozwIK3sJl/fMH79Oi/xvDhw+JvTz8dG2y0UayzznrRp0+fhpGqVG01aNN4evToNkOfXPBW37jxhuti8AHfbNfisMdHxYABA9q+x4J31r7ZKHiz1v+MfjoFr56zYcFbz7mw4K3nXKpTqQse/wOvZtbkv8ajg0L+O6zmmSx48w4dBBa8Dqsapjr/NaeCgoHyDLDgLWzmO+/yxfjSHl+J44ccE8/87elp7v6Gm/8Yq6yyauPPf/GzC+KUk0+a4YJ38uTJjU/ljh07dipW9XPOPvfCqf6MBe+sfbNR8Gatfxa89fU/vZOx4K3nzFjw1nMuLHjrOxfyv76zYcFbz9mQ//Wciy3/Nz4/Fl5023redJOcigVvkwyKY3Z7Ayx4u/2IO3eDWwzaKi6+9IrGRX956MGpnpn78U/wPvrIw7HmWms3Xnf1r6+Mo7592FQ/6P4HH4lFFhkYr736arT27dv4ZDAL3s7NQv1qCp7aqI5HwdO5VJIoeEqbOpat4PGIhvSQ1AWPT/CmR9IAkP8ajw4K+e+wmmeS/3mHDoIt/1nwpselzv/0gQBgoFADLHgLHfz0bnvjTTaNoVde0/j2/ffdG3vsvmvbSz++4L3i8ktj8y0GNZa41S9nW2n5pWLChAmN126w4UZx1dW/bfzn6pewnfj9U1jw1uB9RsGrwRCmcwQKXj1nQ8Gr51xsBY8Fb3rg6oLHgjc9Eha8GoU2CvlvU5sCk/8pfbaLbfnPgjc9M3X+pw8EAAOFGmDBW+jgp3fbJ//w9Njrq/s0vn35ZZfECUOOme6C94E/3xfnXfCLxvcvvuiXceJ3j2/851v/eFcsv8IKbZ/YfWr0syx4a/A+Y8FbgyGw4K3vENo5GQWvnuOyFTwWvOmBqwseC970SFjwahTaKCx4bWpTYPI/pc92sS3/WfCmZ6bO//SBAGCgUAMseAsdfHu33draGo+NeCp69+7d+PYmG64bL7zw/HQXvMcfd3Q8NvzJmGfeeRuf3l1+mcVjqaWXjtvuuKdxzWk/PDkuvODcYMFbjzcZC956zKG9U1Dw6jkbCl4952IreCx40wNXFzwWvOmRsODVKLRRyH+b2hSY/E/ps11sy38WvOmZqfM/fSAAGCjUAAveQgff3m3f8oc7Y4UVV2x86+G/PBS77rLDVC/75CMaqgXv3vvsG98/+dTG6845+8xYd931Y/0NNozx48fHisstGVU5m9GCt3XAZzqcwKT3J0SfORaPzbe9pcPX8oLpG6gWvCMeGRI955hdpum9se/EljvcGa19F5MxSwT9bujAmHOueaJHjx6S25/w7thYYom9YpW1//NLEiXgwiDDHjouXnrhmph9jlbJnX/44eSYMPbt2GnP//wPZxJwYZCq4N118zbRq7WP7M7ff29irLnuGbHwYtvJmCWCbr9xy5gw8aWYbfYp/0Nx9ov8zxqccj35r/HooJD/Dqt5Jvmfd+ggWPL/3Qmx5vo/5ZesJQfWmfwf9+9Xkj+NyzGAgekZYMHLe6Nh4MKf/zK2237KQnfcuHGx3tqrxdixY6ey096Ct3rByFHPRN++fRvP4u3Zs2djSXXB+efE6aee0rh+RgveBZdao8MJTBj/drRM6h+bbXNTh6/lBdM3UBW8kSNOin7zLyjT9MaLz8Sg7W9nwZs0eu3QgTHfZ1eMHi0tSdKUy99585VYeKGdY5W1TpTwSoUMe2hIvPr6LdHafwGJgskffBBvvvR07LTHcxJeqZCq4N196/YxYJHFZQrGvvpyrLrmqSx4k0bvuGnr6NF7XPSas1+SNOVy8l+isbHgJf81LtUU8l9tVMMj/zUe1RTyX21Ux+tM/v/rmcd0PxgSBjAwlQEWvLwh4qyzz49ddt2tYWLixImx3TaD4unRo6cxM70F72FHHBmHH3FU2+srxgrLLhGTJk1q/Bmf4K3Hm4xP8NRjDu2dgk/w1HM2fIKnnnOxfIKHT/BKht2ZT/DMzA/kE7wzY6nj15D/HTuaVa8g/2eV+Rn/XPK/nnMh/+s5l+pUncl/PsFb3zlysuY3wIK3+WeYuoMLfvY/sf0Xdmwwqk/gfnGn7WPEiOHtMqe34G1paYlRTz/X9uzeoVdcFkOO/c/Cl2fwpkYku5hn8MpUykE8g0+uVALkGXwSjXKI7Rl8PIM3PSv1M/h4Bm96JA0A+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgLW/mjTuuHqNwzW9+H+usu17jn6tn5u74hc+3+8ndjxRNb8Fbff8Hp5wWX937azF58uRYeYWlG495+OiLBW893mQUvHrMob1TUPDqORsKXj3nQsGr51yqU6kLHgtezazJf41HB4X8d1jNM8n/vEMHgfx3WNUw1fmvORUUDJRngAVveTOP1tbWuPHmP8YSSy7VuPu33norPr/lZvHKKy/P0MaMFry9e/eOz222Rbzy8j+n+QQwC956vMkoePWYAwve+s7hkyej4NVzVhS8es6FBW9950L+13c2LHjrORvyv55zIf/rORdH/tf3TjkZBuptgAVvvecjP92iiy4WN9z8x+jfv3+D/cILz8d2nx80zS9Ua+8Hz2jBO6ODsuCVj7FLQApel7R9KhdR8D4VzZ3+IRS8Tiv7VC6g4H0qmrv0Q9Sf4OETvF0awzQXkf8ajw4K+e+wmmeS/3mHDgL577CqYarzX3MqKBgozwAL3sJm/tAjw2PBBT/TuOvqMQpn/OT0qArU9L5uv+2P8fxzzza+zYK3ud8sFLz6zo+CV8/ZUPDqORcKXj3nUp1KXfBY8GpmTf5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseAub+bART8WAeeaZ6bs+5+wz44wfn86Cd6aN1feFFLz6zoaCV8/ZUPDqORcKXj3nwoK3vnMh/+s7G/K/nrMh/+s5F/K/nnNx5H9975STYaDeBljw1ns+8tM9NvzJmGfeeWea+9MzfxxnnfmTxuvnnnvuGDFydOM/X37ZJXHCkGNmivPRIxqqZ/2utvJyM3XNx1/EJ3g6razdCyh4Go8OCgXPYTXPpODlHToIFDyHVQ1T/Qke8l8zF/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5RlgwVvezJvujil4mpFR8DQeHRQKnsNqnknByzt0ECh4Dqsaprrgkf+auZD/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM8AC97yZt50d0zB04yMgqfx6KBQ8BxW80wKXt6hg0DBc1jVMNUFj/zXzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MKnmZkFDyNRweFguewmmdS8PIOHQQKnsOqhqkueOS/Zi7kv8ajg0L+O6zmmeR/3qGDQP47rGqY6vzXnAoKBsozwIK3vJk33R1T8DQjo+BpPDooFDyH1TyTgpd36CBQ8BxWNUx1wSP/NXMh/zUeHRTy32E1zyT/8w4dBPLfYVXDVOe/5lRQMFCeARa85c286e6YgqcZGQVP49FBoeA5rOaZFLy8QweBguewqmGqCx75r5kL+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgLW/mTXfHFDzNyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfDIf81cyH+NRweF/HdYzTPJ/7xDB4H8d1jVMNX5rzkVFAyUZ4AFb3kzb7o7puBpRkbB03h0UCh4Dqt5JgUv79BBoOA5rGqY6oJH/mvmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQVPMzIKnsajg0LBc1jNMyl4eYcOAgXPYVXDVBc88l8zF/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5RlgwVvezJvujil4mpFR8DQeHRQKnsNqnknByzt0ECh4Dqsaprrgkf+auZD/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM8AC97yZt50d0zB04yMgqfx6KBQ8BxW80wKXt6hg0DBc1jVMNUFj/zXzIX813j9DvGoAAAgAElEQVR0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MKnmZkFDyNRweFguewmmdS8PIOHQQKnsOqhqkueOS/Zi7kv8ajg0L+O6zmmeR/3qGDQP47rGqY6vzXnAoKBsozwIK3vJk33R1T8DQjo+BpPDooFDyH1TyTgpd36CBQ8BxWNUx1wSP/NXMh/zUeHRTy32E1zyT/8w4dBPLfYVXDVOe/5lRQMFCeARa85c286e6YgqcZGQVP49FBoeA5rOaZFLy8QweBguewqmGqCx75r5kL+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgLW/mTXfHFDzNyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfDIf81cyH+NRweF/HdYzTPJ/7xDB4H8d1jVMNX5rzkVFAyUZ4AFb3kzb7o7puBpRkbB03h0UCh4Dqt5JgUv79BBoOA5rGqY6oJH/mvmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQVPMzIKnsajg0LBc1jNMyl4eYcOAgXPYVXDVBc88l8zF/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5RlgwVvezJvujil4mpFR8DQeHRQKnsNqnknByzt0ECh4Dqsaprrgkf+auZD/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM8AC97yZt50d0zB04yMgqfx6KBQ8BxW80wKXt6hg0DBc1jVMNUFj/zXzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MKnmZkFDyNRweFguewmmdS8PIOHQQKnsOqhqkueOS/Zi7kv8ajg0L+O6zmmeR/3qGDQP47rGqY6vzXnAoKBsozwIK3vJk33R1T8DQjo+BpPDooFDyH1TyTgpd36CBQ8BxWNUx1wSP/NXMh/zUeHRTy32E1zyT/8w4dBPLfYVXDVOe/5lRQMFCeARa85c286e6YgqcZGQVP49FBoeA5rOaZFLy8QweBguewqmGqCx75r5kL+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgLW/mTXfHFDzNyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfDIf81cyH+NRweF/HdYzTPJ/7xDB4H8d1jVMNX5rzkVFAyUZ4AFb3kzb7o7puBpRkbB03h0UCh4Dqt5JgUv79BBoOA5rGqY6oJH/mvmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQVPMzIKnsajg0LBc1jNMyl4eYcOAgXPYVXDVBc88l8zF/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5RlgwVvezJvujil4mpFR8DQeHRQKnsNqnknByzt0ECh4Dqsaprrgkf+auZD/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM8AC97yZt50d0zB04yMgqfx6KBQ8BxW80wKXt6hg0DBc1jVMNUFj/zXzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MKnmZkFDyNRweFguewmmdS8PIOHQQKnsOqhqkueOS/Zi7kv8ajg0L+O6zmmeR/3qGDQP47rGqY6vzXnAoKBsozwIK3vJk33R1T8DQjo+BpPDooFDyH1TyTgpd36CBQ8BxWNUx1wSP/NXMh/zUeHRTy32E1zyT/8w4dBPLfYVXDVOe/5lRQMFCeARa85c286e6YgqcZGQVP49FBoeA5rOaZFLy8QweBguewqmGqCx75r5kL+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgLW/mTXfHFDzNyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfDIf81cyH+NRweF/HdYzTPJ/7xDB4H8d1jVMNX5rzkVFAyUZ4AFb3kzb7o7puBpRkbB03h0UCh4Dqt5JgUv79BBoOA5rGqY6oJH/mvmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQVPMzIKnsajg0LBc1jNMyl4eYcOAgXPYVXDVBc88l8zF/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5RlgwVvezJvujil4mpFR8DQeHRQKnsNqnknByzt0ECh4Dqsaprrgkf+auZD/Go8OCvnvsJpnkv95hw4C+e+wqmGq819zKigYKM8AC97yZt50d0zB04yMgqfx6KBQ8BxW80wKXt6hg0DBc1jVMNUFj/zXzIX813h0UMh/h9U8k/zPO3QQyH+HVQ1Tnf+aU0HBQHkGWPCWN/Omu2MKnmZkFDyNRweFguewmmdS8PIOHQQKnsOqhqkueOS/Zi7kv8ajg0L+O6zmmeR/3qGDQP47rGqY6vzXnAoKBsozwIK3vJk33R1T8DQjo+BpPDooFDyH1TyTgpd36CBQ8BxWNUx1wSP/NXMh/zUeHRTy32E1zyT/8w4dBPLfYVXDVOe/5lRQMFCeARa85c286e6YgqcZGQVP49FBoeA5rOaZFLy8QweBguewqmGqCx75r5kL+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgLW/mTXfHFDzNyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfDIf81cyH+NRweF/HdYzTPJ/7xDB4H8d1jVMNX5rzkVFAyUZ4AFb3kzb7o7rgregHlXjy22/0PTnb1OB6bg1WkaU5+FglfP2VDw6jkXCl4951KdSl3wWPBqZk3+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TELXs3IKHgajw4KBc9hNc+k4OUdOggUPIdVDVNd8FjwauZC/ms8Oijkv8Nqnkn+5x06COS/w6qGqc5/zamgYKA8Ayx4y5t5090xC17NyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfBY8GrmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQtezcgoeBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TELXs3IKHgajw4KBc9hNc+k4OUdOggUPIdVDVNd8FjwauZC/ms8Oijkv8Nqnkn+5x06COS/w6qGqc5/zamgYKA8Ayx4y5t5090xC17NyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfBY8GrmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQtezcgoeBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TELXs3IKHgajw4KBc9hNc+k4OUdOggUPIdVDVNd8FjwauZC/ms8Oijkv8Nqnkn+5x06COS/w6qGqc5/zamgYKA8Ayx4y5t5090xC17NyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfBY8GrmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQtezcgoeBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TELXs3IKHgajw4KBc9hNc+k4OUdOggUPIdVDVNd8FjwauZC/ms8Oijkv8Nqnkn+5x06COS/w6qGqc5/zamgYKA8Ayx4y5t5090xC17NyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfBY8GrmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQtezcgoeBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TELXs3IKHgajw4KBc9hNc+k4OUdOggUPIdVDVNd8FjwauZC/ms8Oijkv8Nqnkn+5x06COS/w6qGqc5/zamgYKA8Ayx4y5t5090xC17NyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfBY8GrmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQtezcgoeBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TELXs3IKHgajw4KBc9hNc+k4OUdOggUPIdVDVNd8FjwauZC/ms8Oijkv8Nqnkn+5x06COS/w6qGqc5/zamgYKA8Ayx4y5t5090xC17NyCh4Go8OCgXPYTXPpODlHToIFDyHVQ1TXfBY8GrmQv5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMubedPdMQtezcgoeBqPDgoFz2E1z6Tg5R06CBQ8h1UNU13wWPBq5kL+azw6KOS/w2qeSf7nHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TELXs3IKHgajw4KBc9hNc+k4OUdOggUPIdVDVNd8FjwauZC/ms8Oijkv8Nqnkn+5x06COS/w6qGqc5/zamgYKA8Ayx4y5t5090xC17NyCh4Go8Oyu+GDozJH0yMHj16SPDVvzPLrHhgrLr2SRJeqRAKXj0nT8Gr51yqU6kLHgtezazJf41HB4UFr8Nqnkn+5x06COS/w6qGqc5/zamgYKA8Ayx4y5t5090xC17NyCh4Go8OCgteh9U8k4KXd+ggUPAcVjVMdcFjwauZC/mv8eigsOB1WM0zyf+8QweB/HdY1TDV+a85FRQMlGeABW95M2+6O2bBqxkZBU/j0UFhweuwmmdS8PIOHQQKnsOqhqkueCx4NXMh/zUeHRQWvA6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgLW/mTXfHLHg1I6PgaTw6KCx4HVbzTApe3qGDQMFzWNUw1QWPBa9mLuS/xqODwoLXYTXPJP/zDh0E8t9hVcNU57/mVFAwUJ4BFrzlzbzp7pgFr2ZkFDyNRweFBa/Dap5Jwcs7dBAoeA6rGqa64LHg1cyF/Nd4dFBY8Dqs5pnkf96hg0D+O6xqmOr815wKCgbKM8CCt7yZN90ds+DVjIyCp/HooLDgdVjNM4c9dFw8M+pXsl9+V52oZbY5Yuc9n88frmACBa++w1cXPBa8mlmT/xqPDgoLXofVPJMFb96hg0D+O6xqmOr815wKCgbKM8CCt7yZN90ds+DVjIyCp/HooLDgdVjNM1nw5h06CBQ8h1UNU13wWPBq5kL+azw6KCx4HVbzTBa8eYcOAvnvsKphqvNfcyooGCjPAAve8mbedHfMglczMgqexqODwoLXYTXPZMGbd+ggUPAcVjVMdcFjwauZC/mv8eigsOB1WM0zWfDmHToI5L/Dqoapzn/NqaBgoDwDLHjLm3nT3TELXs3IKHgajw4KC16H1TyTBW/eoYNAwXNY1TDVBY8Fr2Yu5L/Go4PCgtdhNc9kwZt36CCQ/w6rGqY6/zWngoKB8gyw4C1v5k13xyx4NSOj4Gk8OigseB1W80wWvHmHDgIFz2FVw1QXPBa8mrmQ/xqPDgoLXofVPJMFb96hg0D+O6xqmOr815wKCgbKM8CCt7yZN90ds+DVjIyCp/HooLDgdVjNM1nw5h06CO+8/fe448YtY9KkcTJ8z559Y62NzolFFttexiwRpC54LHg17yLyX+PRQWHB67CaZ7LgzTt0EFjwOqxqmOr815wKCgbKM8CCt7yZN90ds+DVjIyCp/HooLDgdVjNM1nw5h06CCx4HVY1THXBI/81cyH/NR4dFPLfYTXPZMGbd+ggsOB1WNUw1fmvORUUDJRngAVveTNvujum4GlGRsHTeHRQKHgOq3kmC968QweBBa/DqoapLnjkv2Yu5L/Go4NC/jus5pnkf96hg8CC12FVw1Tnv+ZUUDBQngEWvOXNvOnumIKnGRkFT+PRQaHgOazmmRS8vEMHgQWvw6qGqS545L9mLuS/xqODQv47rOaZ5H/eoYPgyP/ZerbGOhudFwsvtp3jyMUw1flfjDhuFANiAyx4xUKbEffto46Jr+37zXjxxRdi2623mO4ttLa2xt33PND2/TvuuC2OPvLw6b6+R48ecefd90Xfvv0ar3nuuWdjty/u2GlFFLxOK2v3AgqexqODQsFzWM0zKXh5hw6Co+DxDF7NpNQFj/zXzIX813h0UMh/h9U8k/zPO3QQHPnPglczKXX+a04FBQPlGWDBW97Mp7rjAfPME/fc91D069cv3n777VhlxWWma6T/gAEx/PFRbd+viteaq68Ub77xRrvX7H/AQTHkhO+2fW/MmDGx6krLdto4Ba/TyljwapR9ahQK3qemulM/iILXKV2f2osdBY8Fr2Z86oJH/mvmwoJX49FBIf8dVvNM8j/v0EFw5D8LXs2k1PmvORUUDJRngAVveTOPNddaO760x5dj6aWXiVVXWz1mn332hoXOLnira2684boYfMA327U47PFRMWDAABa8NXmPUfBqMoh2jkHBq+dsKHj1nIuj4LHg1cxaXfBY8GrmQv5rPDoo5L/Dap5J/ucdOgiO/GfBq5mUOv81p4KCgfIMsOAtb+Zx4vdPia/t+41p7rwrC97Jkyc3PpU7duzYqXg77/LFOPvcC6f6Mz7BO2vfbBS8Wet/Rj+dglfP2VDw6jkXR8FjwauZtbrgseDVzIX813h0UMh/h9U8k/zPO3QQHPnPglczKXX+a04FBQPlGWDBW97MY9CWW8e+X//Pp27X32DD6NmzZ6c+wfvoIw83PglcfV396yvjqG8fNpXJ+x98JBZZZGC89uqr0dq3b/Tp0ydY8M7aNxsFb9b6Z8FbX//TOxkFr54zcxQ8FryaWasLHgtezVzIf41HB4UFr8Nqnkn+5x06COS/w6qGqc5/zamgYKA8Ayx4y5v5NHc8bMRTUT2LtzOf4L3i8ktj8y0GNZa477//fqy0/FIxYcKEBnuDDTeKq67+beM/V7+ErfrEMAveWf9Go+DN+hlM7wQUvHrOhoJXz7lQ8Oo5l+pU6oLHglcza/Jf49FBIf8dVvNM8j/v0EEg/x1WNUx1/mtOBQUD5RlgwVvezGUL3gf+fF+cd8EvGryLL/plnPjd4xv/+dY/3hXLr7BC2yd2nxr9LAveGrzPKHg1GMJ0jkDBq+dsKHj1nAsFr55zYcFb37mQ//WdDflfz9mQ//WcC/lfz7k48r++d8rJMFBvAyx46z2fT+V0Xf0E7/HHHR2PDX8y5pl33sand5dfZvFYauml47Y77mmc+7QfnhwXXnBusOD9VMbY4Q+h4HWoaJa9gII3y9TP8AdT8Oo5FwpePefiKHh8glcza/Jf49FBIf8dVvNM8j/v0EEg/x1WNUw+wavxCAUDWQMseLMGu8H1mQXv3vvsG98/+dSGhXPOPjPWXXf9qJ7pO378+FhxuSWjKmczWvD2mrNvhwYnfzAp+vVbPjbf7tYOX8sLpm+gKnjD/nJM9GiZJNP0wfsfxpY73BWtfReTMUsEXTt0YMzWq1f06NFDcvuTJk6IJZf9eqy69kkSXqmQYQ8NieefuTxmm72XREH134eT3/8gdtrzeQmvVEij4N20dbT0/FCm4MMPZos1N/hpLLLY9jJmiaCq4I0b97doma2n5PbJf4nGIP81Hh0U8t9hNc8k//MOHQTy32FVw+xM/k989x3ND4WCAQxMY4AFL2+KyCx4K30jRz0Tffv2bTyLt/plbdWS6oLzz4nTTz2lYXdGC94Fl1qjwwlMGP92tEyaOzbb5uYOX8sLpm+gKngjR5wU/eZfUKbpjRefiUHb386CN2n02qGLxryfXT5aWmZLkqZc/s6br8TCC+0cq6x1ooRXKmTYX46PV1+7OVr7LyBRMPmDD+LNl56OnfZ4TsIrFVIVvLtu2TYGDFxCpmDsa6/EKmucwoI3abRavPfoPS56zdkvSZpyOfkv0dhY8JL/GpdqCvmvNqrhkf8aj2oK+a82quN1Jv//9cxjuh8MCQMYmMoAC17eEOkF72FHHBmHH3FUm8mJEyfGCssuEZMmTfmk6IwWvAMWXrrDCbz/3viYvWXB2HzbWzp8LS+YvoGq4D0+7Dsx51xzyTRVS5FBX7iTBW/SaPUJnrkWWDR6tLQkSVMuf3fsm7HowN1jlbVZ8GaEDvvLkHj5n9fGHH0HZDBt1344+YOo/p3ZaU8WvBmhVcG785Ztou+882cwU1377pgxsdrap7PgTRq948atYlKP12P23n2SpCmXk/8SjY0FL/mvcammkP9qoxoe+a/xqKaQ/2qjOl5n8v/f//yb7gdDwgAGpjLAgpc3RHrB29LSEqOefi569+7dsDn0istiyLH/WfjyDN56vMl4Bl895tDeKXgGXz1nwzP46jkXnsFXz7lUp1I/g49n8GpmTf5rPDoo5L/Dap5J/ucdOgjkv8OqhqnOf82poGCgPAMseMub+TR3nH1EQwX8wSmnxVf3/lpMnjw5Vl5h6Rg3blzbz2HBW483GQWvHnNgwVvfOXzyZBS8es6KglfPubDgre9cyP/6zoYFbz1nQ/7Xcy7kfz3n4sj/+t4pJ8NAvQ2w4K33fD6V0ykWvNWndz+32Rbxysv/jBEjhk91bha8n8oYO/whFLwOFc2yF1DwZpn6Gf5gCl4950LBq+dcHAWPT/BqZk3+azw6KOS/w2qeSf7nHToI5L/DqobJJ3g1HqFgIGuABW/WYDe4XrHgnZEGFrz1eJNQ8Ooxh/ZOQcGr52woePWcCwWvnnNhwVvfuZD/9Z0N+V/P2ZD/9ZwL+V/PuTjyv753yskwUG8DLHjrPR/L6Xr16hX9+//nlwbdduc9Mffcc8c777wTm2+6YdvPfPPNN9p+UVr1h/0HDIjhj49qfP+Kyy+N4487eqbOx4J3pjTZX0TBsyvu8g+g4HVZnfVCCp5Vb5fhFLwuq7NfqP4ED5/g1YyM/Nd4dFDIf4fVPJP8zzt0EMh/h1UNU53/mlNBwUB5BljwljfzOPGkk+NrX/9mh3d+ztlnxhk/Pr3tdSx4O1RW6xdQ8Oo7HgpePWdDwavnXCh49ZxLdSp1wWPBq5k1+a/x6KCQ/w6reSb5n3foIJD/Dqsapjr/NaeCgoHyDLDgLW/m8b0TfxD7fmO/Du/87LPOiDN/8qO211Wf8h0xcnTjny+/7JI4YcgxHTKqF3z0Cd633norVlt5uZm65uMvouB1Wlm7F1DwNB4dFAqew2qeScHLO3QQ/h975x0nRfG08TIrioIKouQcJOecc06KiJIzSM45Sg6Sc845Z46ccxAOEBEUUZEoAsbf+6m+d8e9uz1u97p6b/bm6X/kdmee6f7W9JRV21ONAM8EVRlN6QAP/l/GLvD/MhxNqMD/m6Cqrwn/r8/QhAL8vwmqMprS/l+mV1ABAecRQILXeTYPuBEjwJMxGQI8GY4mVBDgmaCqr4kAT5+hCQUEeCaoymhKB3jw/zJ2gf+X4WhCBf7fBFV9Tfh/fYYmFOD/TVCV0ZT2/zK9ggoIOI8AErzOs3nAjRgBnozJEODJcDShggDPBFV9TQR4+gxNKCDAM0FVRlM6wIP/l7EL/L8MRxMq8P8mqOprwv/rMzShAP9vgqqMprT/l+kVVEDAeQSQ4HWezQNuxAjwZEyGAE+GowkVBHgmqOprIsDTZ2hCAQGeCaoymtIBHvy/jF3g/2U4mlCB/zdBVV8T/l+foQkF+H8TVGU0pf2/TK+gAgLOI4AEr/NsHnAjRoAnYzIEeDIcTaggwDNBVV8TAZ4+QxMKCPBMUJXRlA7w4P9l7AL/L8PRhAr8vwmq+prw//oMTSjA/5ugKqMp7f9legUVEHAeASR4nWfzgBsxAjwZkyHAk+FoQgUBngmq+poI8PQZmlBAgGeCqoymdIAH/y9jF/h/GY4mVOD/TVDV14T/12doQgH+3wRVGU1p/y/TK6iAgPMIIMHrPJsH3IgR4MmYDAGeDEcTKgjwTFDV10SAp8/QhAICPBNUZTSlAzz4fxm7wP/LcDShAv9vgqq+Jvy/PkMTCvD/JqjKaEr7f5leQQUEnEcACV7n2TzgRowAT8ZkCPBkOJpQQYBngqq+JgI8fYYmFBDgmaAqoykd4MH/y9gF/l+GowkV+H8TVPU14f/1GZpQgP83QVVGU9r/y/QKKiDgPAJI8DrP5gE3YgR4MiZDgCfD0YQKAjwTVPU1EeDpMzShgADPBFUZTekAD/5fxi7w/zIcTajA/5ugqq8J/6/P0IQC/L8JqjKa0v5fpldQAQHnEUCC13k2D7gRI8CTMRkCPBmOJlQQ4Jmgqq+JAE+foQkFBHgmqMpoSgd48P8ydoH/l+FoQgX+3wRVfU34f32GJhTg/01QldGU9v8yvYIKCDiPABK8zrN5wI0YAZ6MyRDgyXA0oYIAzwRVfU0EePoMTSggwDNBVUZTOsCD/5exC/y/DEcTKvD/Jqjqa8L/6zM0oQD/b4KqjKa0/5fpFVRAwHkEkOB1ns0DbsQI8GRMhgBPhqMJFQR4JqjqayLA02doQgEBngmqMprSAR78v4xd4P9lOJpQgf83QVVfE/5fn6EJBfh/E1RlNKX9v0yvoAICziOABK/zbB5wI0aAJ2MyBHgyHE2oIMAzQVVfEwGePkMTCgjwTFCV0ZQO8OD/ZewC/y/D0YQK/L8Jqvqa8P/6DE0owP+boCqjKe3/ZXoFFRBwHgEkeJ1n84AbMQI8GZMhwJPhaEIFAZ4JqvqaCPD0GZpQQIBngqqMpnSAB/8vYxf4fxmOJlTg/01Q1deE/9dnaEIB/hlXGp0AACAASURBVN8EVRlNaf8v0yuogIDzCCDB6zybB9yIEeDJmAwBngxHEyoI8ExQ1ddEgKfP0IQCAjwTVGU0pQM8+H8Zu8D/y3A0oQL/b4Kqvib8vz5DEwrw/yaoymhK+3+ZXkEFBJxHAAle59k84EaMAE/GZAjwZDiaUEGAZ4KqviYCPH2GJhQQ4JmgKqMpHeDB/8vYBf5fhqMJFfh/E1T1NeH/9RmaUID/N0FVRlPa/8v0Ciog4DwCSPA6z+YBN2IEeDImQ4Anw9GECgI8E1T1NRHg6TM0oYAAzwRVGU3pAA/+X8Yu8P8yHE2owP+boKqvCf+vz9CEAvy/CaoymtL+X6ZXUAEB5xFAgtd5Ng+4ESPAkzEZAjwZjiZUEOCZoKqviQBPn6EJBQR4JqjKaEoHePD/MnaB/5fhaEIF/t8EVX1N+H99hiYU4P9NUJXRlPb/Mr2CCgg4jwASvM6zecCNGAGejMkQ4MlwNKGCAM8EVX1NBHj6DE0oIMAzQVVGUzrAg/+XsQv8vwxHEyrw/yao6mvC/+szNKEA/2+CqoymtP+X6RVUQMB5BJDgdZ7NA27ECPBkTIYAT4ajCRUEeCao6msiwNNnaEIBAZ4JqjKa0gEe/L+MXeD/ZTiaUIH/N0FVXxP+X5+hCQX4fxNUZTSl/b9Mr6ACAs4jgASv82wecCNGgCdjMgR4MhxNqCDAM0FVXxMBnj5DEwoI8ExQldGUDvDg/2XsAv8vw9GECvy/Car6mvD/+gxNKMD/m6Aqoynt/2V6BRUQcB4BJHidZ/OAGzECPBmTIcCT4WhCBQGeCar6mgjw9BmaUECAZ4KqjKZ0gAf/L2MX+H8ZjiZU4P9NUNXXhP/XZ2hCAf7fBFUZTWn/L9MrqICA8wggwes8mwfciBHgyZgMAZ4MRxMqCPBMUNXXRICnz9CEAgI8E1RlNKUDPPh/GbvA/8twNKEC/2+Cqr4m/L8+QxMK8P8mqMpoSvt/mV5BBQScRwAJXufZPOBGjABPxmQI8GQ4mlBBgGeCqr4mAjx9hiYUEOCZoCqjKR3gwf/L2AX+X4ajCRX4fxNU9TXh//UZmlCA/zdBVUZT2v/L9AoqIOA8AkjwOs/mATdiBHgyJkOAJ8PRhAoCPBNU9TUR4OkzNKGAAM8EVRlN6QAP/l/GLvD/MhxNqMD/m6Cqrwn/r8/QhAL8vwmqMprS/l+mV1ABAecRQILXeTYPuBEjwJMxGQI8GY4mVBDgmaCqr4kAT5+hCQUEeCaoymhKB3jw/zJ2gf+X4WhCBf7fBFV9Tfh/fYYmFOD/TVCV0ZT2/zK9ggoIOI8AErzOs3nAjRgBnozJEODJcDShggDPBFV9TQR4+gxNKCDAM0FVRlM6wIP/l7EL/L8MRxMq8P8mqOprwv/rMzShAP9vgqqMprT/l+kVVEDAeQSQ4HWezQNuxAjwZEyGAE+GowkVBHgmqOprIsDTZ2hCAQGeCaoymtIBHvy/jF3g/2U4mlCB/zdBVV8T/l+foQkF+H8TVGU0pf2/TK+gAgLOI4AEr/NsHnAjRoAnYzIEeDIcTaggwDNBVV8TAZ4+QxMKCPBMUJXRlA7w4P9l7AL/L8PRhAr8vwmq+prw//oMTSjA/5ugKqMp7f9legUVEHAeASR4nWfzgBsxAjwZkyHAk+FoQgUBngmq+poI8PQZmlBAgGeCqoymdIAH/y9jF/h/GY4mVOD/TVDV14T/12doQgH+3wRVGU1p/y/TK6iAgPMIIMHrPJsH3IgR4MmYDAGeDEcTKgjwTFDV10SAp8/QhAICPBNUZTSlAzz4fxm7wP/LcDShAv9vgqq+Jvy/PkMTCvD/JqjKaEr7f5leQQUEnEcACV7n2TzgRowAT8ZkCPBkOJpQQYBngqq+JgI8fYYmFBDgmaAqoykd4MH/y9gF/l+GowkV+H8TVPU14f/1GZpQgP83QVVGU9r/y/QKKiDgPAJI8DrP5gE3YgR4MiZDgCfD0YQKAjwTVPU1EeDpMzShgADPBFUZTekAD/5fxi7w/zIcTajA/5ugqq8J/6/P0IQC/L8JqjKa0v5fpldQAQHnEUCC13k2D7gRI8CTMRkCPBmOJlQQ4Jmgqq+JAE+foQkFBHgmqMpoSgd48P8ydoH/l+FoQgX+3wRVfU34f32GJhTg/01QldGU9v8yvYIKCDiPABK8zrN5wI0YAZ6MyRDgyXA0oYIAzwRVfU0EePoMTSggwDNBVUZTOsCD/5exC/y/DEcTKvD/Jqjqa8L/6zM0oQD/b4KqjKa0/5fpFVRAwHkEkOB1ns0DbsQI8GRMhgBPhqMJFQR4JqjqayLA02doQgEBngmqMprSAR78v4xd4P9lOJpQgf83QVVfE/5fn6EJBfh/E1RlNKX9v0yvoAICziOABK/zbB5wI0aAJ2MyBHgyHE2oIMAzQVVfEwGePkMTCgjwTFCV0ZQO8OD/ZewC/y/D0YQK/L8Jqvqa8P/6DE0owP+boCqjKe3/ZXoFFRBwHgEkeJ1n84AbMQI8GZMhwJPhaEIFAZ4JqvqaCPD0GZpQQIBngqqMpnSAB/8vYxf4fxmOJlTg/01Q1deE/9dnaEIB/t8EVRlNaf8v0yuogIDzCCDB6zybB9yIEeDJmAwBngxHEyoI8ExQ1ddEgKfP0IQCAjwTVGU0pQM8+H8Zu8D/y3A0oQL/b4Kqvib8vz5DEwrw/yaoymhK+3+ZXkEFBJxHAAle59k84EaMAE/GZAjwZDiaUEGAZ4KqviYCPH2GJhQQ4JmgKqMpHeDB/8vYBf5fhqMJFfh/E1T1NeH/9RmaUID/N0FVRlPa/8v0Ciog4DwCSPA6z+YBN2IEeDImQ4Anw9GECgI8E1T1NRHg6TM0oYAAzwRVGU3pAA/+X8Yu8P8yHE2owP+boKqvCf+vz9CEAvy/CaoymtL+X6ZXUAEB5xFAgtd5Ng+4ESPAkzEZAjwZjiZUEOCZoKqviQBPn6EJBQR4JqjKaEoHePD/MnaB/5fhaEIF/t8EVX1N+H99hiYU4P9NUJXRlPb/Mr2CCgg4jwASvM6zecCNGAGejMkQ4MlwNKGCAM8EVX1NBHj6DE0oIMAzQVVGUzrAg/+XsQv8vwxHEyrw/yao6mvC/+szNKEA/2+CqoymtP+X6RVUQMB5BJDgdZ7NA27ECPBkTIYAT4ajCRUEeCao6msiwNNnaEIBAZ4JqjKa0gEe/L+MXeD/ZTiaUIH/N0FVXxP+X5+hCQX4fxNUZTSl/b9Mr6ACAs4jgASv82wecCNGgCdjMgR4MhxNqCDAM0FVXxMBnj5DEwoI8ExQldGUDvDg/2XsAv8vw9GECvy/Car6mvD/+gxNKMD/m6Aqoynt/2V6BRUQcB4BJHidZ/OAGzECPBmTIcCT4WhCBQGeCar6mgjw9BmaUECAZ4KqjKZ0gAf/L2MX+H8ZjiZU4P9NUNXXhP/XZ2hCAf7fBFUZTWn/L9MrqICA8wggwes8mwfciBHgyZgMAZ4MRxMqCPBMUNXXRICnz9CEAgI8E1RlNKUDPPh/GbvA/8twNKEC/2+Cqr4m/L8+QxMK8P8mqMpoSvt/mV5BBQScRwAJXufZPOBGjABPxmQI8GQ4mlBBgGeCqr4mAjx9hiYUEOCZoCqjKR3gwf/L2AX+X4ajCRX4fxNU9TXh//UZmlCA/zdBVUZT2v/L9AoqIOA8AkjwOs/mATdiBHgyJkOAJ8PRhAoCPBNU9TUR4OkzNKGAAM8EVRlN6QAP/l/GLvD/MhxNqMD/m6Cqrwn/r8/QhAL8vwmqMprS/l+mV1ABAecRQILXeTYPuBEjwJMxGQI8GY4mVBDgmaCqr4kAT5+hCQUEeCaoymhKB3jw/zJ2gf+X4WhCBf7fBFV9Tfh/fYYmFOD/TVCV0ZT2/zK9ggoIOI8AErzOs3nAjRgBnozJEODJcDShggDPBFV9TQR4+gxNKCDAM0FVRlM6wIP/l7EL/L8MRxMq8P8mqOprwv/rMzShAP9vgqqMprT/l+kVVEDAeQSQ4HWezQNuxAjwZEyGAE+GowkVBHgmqOprIsDTZ2hCAQGeCaoymtIBHvy/jF3g/2U4mlCB/zdBVV8T/l+foQkF+H8TVGU0pf2/TK+gAgLOI4AEr/NsHnAjRoAnYzIEeDIcTaggwDNBVV8TAZ4+QxMKCPBMUJXRlA7w4P9l7AL/L8PRhAr8vwmq+prw//oMTSjA/5ugKqMp7f9legUVEHAeASR4nWfzgBsxAjwZkyHAk+FoQgUBngmq+poI8PQZmlBAgGeCqoymdIAH/y9jF/h/GY4mVOD/TVDV14T/12doQgH+3wRVGU1p/y/TK6iAgPMIIMHrPJsH3IgR4MmYDAGeDEcTKgjwTFDV10SAp8/QhAICPBNUZTSlAzz4fxm7wP/LcDShAv9vgqq+Jvy/PkMTCvD/JqjKaEr7f5leQQUEnEcACV7n2TzgRowAT8ZkCPBkOJpQWbMwEf3zz5/03HPPicjznEmdoQVlztlfRM+pIgjw7Gl5BHj2tAv3SjrAg/+XsTX8vwxHEypI8Jqgqq8J/6/P0IQC/L8JqjKa0v5fpldQAQHnEUCC13k2D7gRI8CTMRkCPBmOJlSQ4DVBVV8TAZ4+QxMKCPBMUJXRlA7w4P9l7AL/L8PRhAoSvCao6mvC/+szNKEA/2+CqoymtP+X6RVUQMB5BJDgdZ7NA27ECPBkTIYAT4ajCRUkeE1Q1ddEgKfP0IQCAjwTVGU0pQM8+H8Zu8D/y3A0oYIErwmq+prw//oMTSjA/5ugKqMp7f9legUVEHAeASR4nWfzgBsxAjwZkyHAk+FoQgUJXhNU9TUR4OkzNKGAAM8EVRlN6QAP/l/GLvD/MhxNqCDBa4Kqvib8vz5DEwrw/yaoymhK+3+ZXkEFBJxHAAle59k84EaMAE/GZAjwZDiaUEGC1wRVfU0EePoMTSggwDNBVUZTOsCD/5exC/y/DEcTKkjwmqCqrwn/r8/QhAL8vwmqMprS/l+mV1ABAecRQILXeTYPuBEjwJMxGQI8GY4mVJDgNUFVX/P00R50NXiG2OZ33KPnX3iVqn56Xb9zDlZAgGdf40sHePD/MraG/5fhaEIFCV4TVPU1keDVZ2hCAf7fBFUZTWn/L9MrqICA8wggwes8mwfciBHgyZgMAZ4MRxMqSPCaoKqviQSvPkMTCgjwTFCV0ZQO8OD/ZewC/y/D0YQKErwmqOprIsGrz9CEAvy/CaoymtL+X6ZXUAEB5xFAgtd5Ng+4ESPAkzEZAjwZjiZUkOA1QVVfEwlefYYmFBDgmaAqoykd4MH/y9gF/l+GowkVJHhNUNXXRIJXn6EJBfh/E1RlNKX9v0yvoAICziOABK/zbB5wI0aAJ2MyBHgyHE2oIMFrgqq+JhK8+gxNKCDAM0FVRlM6wIP/l7EL/L8MRxMqSPCaoKqviQSvPkMTCvD/JqjKaEr7f5leQQUEnEcACV7n2TzgRowAT8ZkCPBkOJpQQYLXBFV9TSR49RmaUHj02zXiQOKfv38Xk3/xxTcoR4FxlDBJBTFNJwpJB3jw/zJ3Efy/DEcTKkjwmqCqr4kErz5DEwpI8JqgKqMp7f9legUVEHAeASR4nWfzgBsxAjwZkyHAk+FoQgUJXhNU9TWR4NVnaELBWII3/1eUMGlFE112jKZ0gAf/L3PrwP/LcDShAv9vgqq+JhK8+gxNKCDBa4KqjKa0/5fpFVRAwHkEkOB1ns0DbsQI8GRMhgBPhqMJFQR4JqjqayLBq8/QhAISvCaoymhKB3jw/zJ2gf+X4WhCBf7fBFV9Tfh/fYYmFJDgNUFVRlPa/8v0Ciog4DwCSPA6z+YBN2IEeDImQ4Anw9GECgI8E1T1NRHg6TM0oYAErwmqMprSAR78v4xd4P9lOJpQgf83QVVfE/5fn6EJBWP+HyWatM0l7f+1OwQBEHAoASR4HWr4QBo2AjwZayHAk+FoQgUBngmq+poI8PQZmlAwFuChRIO2uaQDPPh/bZMoAfh/GY4mVOD/TVDV14T/12doQsGY/0eCV9tc0v5fu0MQAAGHEkCC16GGD6RhI8CTsRYCPBmOJlQQ4Jmgqq+JAE+foQkFYwEeErza5pIO8OD/tU2CBK8MQmMq8P/G0GoJw/9r4TN2sjH/jwSvts2k/b92hyAAAg4lgASvQw0fSMNGgCdjLSR4ZTiaUEGAZ4KqviYCPH2GJhSMBXhI8GqbSzrAg//XNgkSvDIIjanA/xtDqyUM/6+Fz9jJxvw/ErzaNpP2/9odggAIOJQAErwONXwgDRsBnoy1kOCV4WhCBQGeCar6mgjw9BmaUDAW4CHBq20u6QAP/l/bJEjwyiA0pgL/bwytljD8vxY+Yycb8/9I8GrbTNr/a3cIAiDgUAJI8DrU8KaHHfftt+ne3bsil0GAJ4IRNfhkMBpRQYBnBKu2KAI8bYRGBIwFeEjwattLOsCD/9c2CRK8MgiNqcD/G0OrJQz/r4XP2Mnw/8bQagtL+3/tDkEABBxKAAlehxrexLCHDh9FJUqWonjx4tNzzz1Hf/31F9269SPNmjmdZs+cHuVLIsCLMrpQJ2IFrwxHEyoI8ExQ1ddEgKfP0IQCAjwTVGU0pQM8+H8Zu8D/y3A0oQL/b4Kqvib8vz5DEwrw/yaoymhK+3+ZXkEFBJxHAAle59lcfMTPP/88rd2whTJnzhKh9pzZM6lv7x5RujYCvChhC3cSAjwZjiZUEOCZoKqviQBPn6EJBQR4JqjKaEoHePD/MnaB/5fhaEIF/t8EVX1N+H99hiYU4P9NUJXRlPb/Mr2CCgg4jwASvM6zufiIx0+cSpWrVFW6jx49otWrVtDpUyepcJFiVKlyFeIEMLd2bVqp73xtCPB8Jeb5eAR4MhxNqCDAM0FVXxMBnj5DEwoI8ExQldGUDvDg/2XsAv8vw9GECvy/Car6mvD/+gxNKMD/m6Aqoynt/2V6BRUQcB4BJHidZ3PxEV++eoNeeeUVVZKheJECdOPGdesaFSpWoklTZqi/L18KplIlivh8fQR4PiPzeAICPBmOJlQQ4Jmgqq+JAE+foQkFBHgmqMpoSgd48P8ydoH/l+FoQgX+3wRVfU34f32GJhTg/01QldGU9v8yvYIKCDiPABK8zrO56Ihr1PyYRo8drzRXr1pJ7dq0DKe/7+BRSpIkqfo8W5YMdPfOHZ/6gADPJ1wRHowAT4ajCRUEeCao6msiwNNnaEIBAZ4JqjKa0gEe/L+MXeD/ZTiaUIH/N0FVXxP+X5+hCQX4fxNUZTSl/b9Mr6ACAs4jgASv82wuOuLJU2dQ+QqVlGaTRvVp29bN4fSHjRhNn9Suoz7v0qk9LV2yyKc+IMDzCRcSvDK4/KqCAM+vuL2+GAI8r1H59UAEeH7F7dPFpAM8+H+f8MP/y+Dyqwr8v19xe30x+H+vUfn1QPh/v+L26WLS/t+ni+NgEAABiwASvLgZtAisXL2ecubKrTRSJktIf//9dzi9qtVr0FfjJqnPx301mkaNGObTNRHg+YQLAZ4MLr+qIMDzK26vL4YAz2tUfj0QAZ5fcft0MekAD/7fJ/zw/zK4/KoC/+9X3F5fDP7fa1R+PRD+36+4fbqYtP/36eI4GARAwCKABC9uBi0Cu/YcoBQpUymNpIne86hVtGhxmrtgsfpuxfKl1LF9G5+uiQDPJ1wI8GRw+VUFAZ5fcXt9MQR4XqPy64EI8PyK26eLSQd48P8+4Yf/l8HlVxX4f7/i9vpi8P9eo/LrgfD/fsXt08Wk/b9PF8fBIAACFgEkeHEzaBE4ceo8vRsvHv3777+UPMn7HrWyZM1G6zZsUd/t37eX6tT+yDruvZTZIr3+H48f0nN/vUnFyoVooEWNANfg+/psf4odz3MiPiqqd76/SiUq7KTX30gSldNxzv8TWLMoMb2TJB09//wLIkwe3f2JPni/KmXK0U9Ez6kiZ471op9vb6TX48jMmX//+Yfu/nCFqtT+zqlIRcbNAd6uzWXp7UTJRfRY5LfbP1GmrIMoYdKKYppOFAraVJqee+V3evm12CLDh/8XwUjw/zIcTajA/5ugqq8J/6/P0IQC/L8JqjKavvj/n6+ekrkoVEAABMIRQIIXN4UWgdPngilu3LiqNAOXaPDUPvwwI23aulN9FdUE75+//UVJU9TS6qvTT35wP5ju3TtGb8b3nIiPCp9fb1ymZCnr0MsvvxWV03HO/xMIPj+G3k2aQTTB++pLiSl+giJgrEHg51u76c9/b4omeH+9EUzpMrbV6BVO/fPPe3T926X0TuKQt0ck2sOff6S338lLb76VRkLOsRrXv11Cr7z5imiCF/5f/3aC/9dnaEoB/t8UWT1d+H89fqbOhv83RVZf1xf/jwSvPm8ogEBEBJDgxb2hRWD/oWOUOHES4tcokyVO4FGrYKHCtHDxcvXd+nVrqXXLptZx3qzg1eogTgYBEAABEAABEAABEAABEAABEAABEIh2AkjwRrsJ0IEYTAAJ3hhsXH8Mbf2mbZQ5cxZ1qYhq8FaqXIUmTJqmjpk2ZRINHtQfCV5/GAfXAAEQAAEQAAEQAAEQAAEQAAEQAAGbEECC1yaGQDdiJAEkeGOkWf03qNlzF1DxEqXUBcuULErBwRfDXbxLtx7UqnXIK8l9+/SkObNm+K+DuBIIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIxGACSPDGYOP6Y2gdO3elNm07qEtNmTyBhgweGO6yG7fsoIwZM6nPK5YrRefOnfVH13ANEAABEAABEAABEAABEAABEAABEAABEAABEIjxBJDgjfEmNjvA2LFj07kLV+i5556ju3fuUI5sGenff/+1LpooUWLad/AoPf/88+r7bFkymO0Q1EEABEAABEAABEAABEAABEAABEAABEAABEDAQQSQ4HWQsU0Nde2GLZQ1azYlf+rkCerWpaMq1ZC/QEGaNHk6xX37bfXdpInjaNiQwaa6AV0QAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEQcBwBJHgdZ3L5AadOk4bWbdhKsWLFssT/97//qVW9rvbDD99TyWKF6MmTJ/IdgCIIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIOJQAErwONbz0sOPHf4/WbdxC77//QShpTvQeP3aUPq5ZNVTpBunrQw8EQAAEQAAEQAAEQAAEQAAEQAAEQAAEQAAEnEgACV4nWt3gmF9//XUqWqw4pU2Xno4eOUwHD+xHYtcgb0iDAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAg4mwASvM62P0YPAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAAAiAQwASQ4A1g46HrIAACIAACIAACIAACIAACIAACIAACIAACIAACziaABK+z7Y/RgwAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIgAAIBDABJHgD2Hjour0JvPbaa1Tzo1qULn0GeuON2HTt26s0e9Z0evDggb077oDeVahYibJmzU7vf5CQbv/yMy1YMI+ufnPFASO39xATJUpMFSpWpnTp0tO///uXTp08QYsWzkcdbxuYDXPGBkbw0IXsOXKquvfJk6ek3357SFs3b6I9e3bZs7MO6hX8v32NjWeZPW0D/29Pu3CvMGfsaRv4f3vaBb0CgegmgARvdFsA149xBJ577jnq3LU7NWnagl5++eVQ4/vf//5Hl4KDaeaMqbRs6eIYN3a7D6hS5So0cNBQivv22+G6+vPPPymbjP9qDP3xxx92H0qM6t9bb71Fo8aMo5KlyhDPH/f2999/05HDh2jM6BF07OiRGDXuQBgM5ow9rcQ/gnw1fjKlS58+XAcfPXpE27duoRHDh9DNmz/YcwAxtFfw//Y1LJ5l9rQN/L897cK9wpyxp23g/+1pF/QKBOxCAAleu1gC/YgRBBInTkKbtwVR7NixQ43nr7/+opdeeinUZ8EXL9JHNSrTw4cPY8TY7TwIDrq3bNsVLhny77//qm4///zzVvfZHp/WqkHnzp2185BiTN+qVqtOo8aMpxdffDHSObNi+VLq2L5NjBm7nQeCOWNf6wwdPopqf/pZqA7yj4f8Y4i7n+HnW49unWnxogX2HUwM6hn8vz2NiWeZPe3CvYL/t6dtMGfsaRfuFfy/fW2DnoGAXQggwWsXS6AfAU+AV+seOXaa3n7nHTUWDrjXrF5FfXp1U0ncN998k5q3bE2f1qlLcePGVcc8fvyYqlUuT8HBFwN+/HYewPyFS6lwkaJWFzl5+0Wr5qpsBid3P6ldhxo2akKp06S1bMeJES4PgGaOQNp06VTi3ZVg//PPP2nk8KFqhTsnq5KnSElt23agCpUqW6vhb9y4TiWKFiQ+Fs0cAcwZc2x1lOs3bEz9Bwy2JH69fZs6dWxHu4J2qM8KFipMLVu1ofwFClqr4deuWU1tWjfXuSzOjYQA/L99bxE8y+xpG/h/e9qFe4U5Y0/bwP/b0y7oFQjYjQASvHazCPoTsATWrNtE2bLnUP3nhG7F8qXp+nfXwo2Hk1nLV66lnLlyq+9+++03ypc7m/ovmjyBdu07UfuOnZUwJ92bNKpP27dt8Xihrt17quSI69ia1SvT8WNH5TsFRbXK/dDRU9Zq9/Pnz1HNapXoyZMn4egkTJiINm7ebpXWOH36FFWpWBYUDRHAnDEEVlOW6+2tWrPBStzOnjmd+vXt5VG1eIlSNH3mHGtlPJc4GTt6pGYPcHpEBOD/7Xlv4FlmT7vA/9vTLtwrzBl72gb+3552Qa9AwI4EkOC1o1XQp4Aj0K5DJ2rfISSJyK/Fli1dTNXafVYbMWosfVyrtjrkmyuXqUSxQgE3brt3OHPmLLR+0zarm3379KQ5s2Y8s9v8yuDYcZNUEuXp06eUL092unvnjt2HGnD9W7thC2XNmk31+97du5Q7Z5Znrsp95ZVXaMu2IEqRMpU6Z97c2dS7Z7eAG7fdO4w5Y08L8Q+DXwdfwLi9OgAAIABJREFUpVixYqkO7tu7hz779ONndjZlqtS0YdM265z6detYK33tOcrA7BX8vz3thmeZPe3CvYL/t6dtMGfsaRf4f3vaBb0CAbsSQILXrpZBvwKGACcCg698R6+++qrqc+eO7bzeQO3YybMUP/576rz8eXJgQxxhq2/csoMyZsykVHnVbuOG9by6wtTps6hsuQrq2AH9+9DM6VO9Og8HeUcgQ4YPVa1qblyKoXjRgh5Xu4dV4/InJ06dVyUdeMV7xvQhyV40OQKYM3IsJZU6delGX7RpryRv//KL+kHEVUP8WdfhH6x4MzZuhw4eoE8+ri7ZLcdrwf/b9xbAs8yetoH/t6dduFeYM/a0Dfy/Pe2CXoGAXQkgwWtXy6BfAUOgYeOm1LffQNXfn366RXlyZvW67yVKlqZZc+bT7t1BVO+zkNW8aDIEOHHOCXRuXJrhw3Qp6ffff/dKnOslnzp7kX57+JCyZg6/S71XIjgoQgKLl65UNUK5rV+3llq3bOo1rTFjJ1D1mh9R966dUCPZa2reHYg54x2n6Djq3IUrqo47t+ZNG9HmTRu87saBw8eJy5wUzJeLfvjhe6/Pw4GRE4D/j5xRdByBZ1l0UPfumvD/3nHy91GYM/4m7v314P+9Z4UjQQAEiJDgxV0AApoE1qzfTNmyZVcqo0cOp6/GjvJJccasudSxfRt68OCBT+fh4GcTcK8jdurkCapaubxPyDp06kKnT52ioJ3bfToPB0dO4OLla9Zr40UL51eb3XnbXnvtNZo0dQY1qFvH21NwnJcEMGe8BOXnw5IkSUr7DobUAueNOdOnSe5TD/LkzUelS5elgQP6+nQeDo6cAPx/5Iyi4wg8y6KDunfXhP/3jpO/j8Kc8Tdx764H/+8dJxwFAiDwHwEkeHE3gIAmgTPnL1GcOHHU67LpUiejP/74Q1MRp0sQcN8FmEszRLSxmsS1oOE9gRdffJGufndTnXDz5g+qNAmaPQhgztjDDmF78Xnd+jToy2Hq4zWrV1HbL1rYs6MO7BX8vz2NjmeZPe0C/29Pu3CvMGfsaRv4f3vaBb0CATsTQILXztZB3wKCwKkzF4hrg0ZlZZX7AAsWKkwdOnahVi2a0q1bPwbE2O3cSS59wSUwuOnUN+bdnpevXEf9+/VSNSzR9Alc/+FnJRKVldXuV+/avSfFixefenTr/MwN2vR77AwFzBl72rnmR7Vo1JhxqnNReUvEfVQcxAcF7aDZM6fbc7AB1iv4f3saDM8ye9qFewX/b0/bYM7Y0y7w//a0C3oFAnYmgASvna2DvgUEgaMnztB77yWgp0+fUtpUSaPc5+Mnz1G8+PHVSmDePMrberFRvmAMP3Hi5GlUsVIVNcpC+XPTjRvXozTi6TPnUOky5dS5zZo0pC2bN0ZJByf9R8AV4J09e4YqlQ9JwvvauF7ckeOn1YZrXFe0QN6cvkrg+DAEMGfseUtUqFiJJk2ZoTrHJYA4yRuVVq16TRo7bqI6ddWK5dS+XeuoyOAcNwLw//a8HfAss6dduFfw//a0DeaMPe0C/29Pu6BXIGBnAkjw2tk66FtAENi97xAlT55CbeTFSSZ+7dzX1rJVG+LViNyOHT1CNatX9lUCx4chMHT4KKr96Wfq0759etKcWSEJEl9a6jRpaPvOvcQ7pf/222+UKUNqZWc0PQLXbtxSiVmuO535wzRRElu5ej3lzJVbnfvloAE0dUpI4got6gQwZ6LOzuSZ+fIXoCXLVqlLHNi/jz79pKbPl+P5xhu1vPHGG+oZVqpEYbpy+bLPOjghNAH4f3veEXiW2dMu3Cv4f3vaBnPGnnaB/7enXdArELAzASR47Wwd9C0gCHxa53MaMmyk6uvePbvp8zq1fOo3bxp19uvL9PLLL6vVu3lyZqVffgl5hR0t6gTef/8DOnT0pErO3r9/n7JkTOuz2I6gvZQ6Tch5XPeS61+i6ROYu2AxFS1aXAn16tGV5s+b45Mobxq1bMUadQ7PlVzZM/t0Pg72TABzxr53xulzwRQ3blyVnM2XO7vPZXz6DRhMDRo2VgPcumUTNW3cwL6DDaCewf/b01h4ltnTLtwr+H972gZzxp524V7B/9vXNugZCNiRABK8drQK+hRwBI6dPEv8yjgH3316dad5c2d7PQb316I40cUJL0+N68mePHmc7t2967W20w+cPHUGla9QSWHg0gpcYsHbVqlyFZowaZo6/Nur31CxIgU8npouXXqVnOdyA2jeEeCa1SdOnVereHlTwprVKvnEz/VaNF+tdq0adPDAfo8X5lfS165ZpX44QfOOAOaMd5z8fVSVqtVo3IQp6rJckqRc6eL08OFDr7rhPt/+/PNPypopnccSQK+88gqVLlOW1q9b65UuDgohAP9vzzsBzzJ72gX+35524V5hztjTNvD/9rQLegUCdiWABK9dLYN+BRSBIkWKqVUJvFqU2+qVK6h3r27qtf5nteQpUtKuPQfUeVxzl2vvekpGxYkb10qIjRoxjCaMHxtQfKKrs2+++SYdPnaaXn/9ddWF4IsXqXHDuvT99zee2SW2B6+q5vO5lSlZlIKDL3o85+CRE5QwYSK1cVGDunWia6gBd92evfpS0+YtVb/5nh/Qv48qoxFZCYxGTZpRn74D1HnP2qStbLkKNHX6LHr06BE1a9KA9u/bG3CMoqPDmDPRQd27a27eFkQZMnyoDmbf0qRRPa82fuTyDvyaJ7eRw4fS+HFjPF5w7LhJVK16Dbp+/TuqWrk83b1zx7uOOfwo+H973gB4ltnTLtwr+H972gZzxp524V7B/9vXNugZCNiNABK8drMI+hOwBLJmy06Ll66kWLFiqTFwoupScDAtXryAzp87S2+9FYdSpExJM6dPtZK4W7fvpnTp06vjO3dsR8uWLvY4/gWLllGhwkXUd+O+Gk2c5EXzjgAnx9dt2EJJkyazTvjpp1u0auVyVVKDk7mpU6eh3bt30fXvrqlj3IOPnTu2UcP6n3u8WN16DWjg4KHqu3PnzlLFcqW86xSOUgTqN2xM/foPsn4Y+euvv+jokcO0eNF8unnzJiVMmJBefvkVWrlimTqeVxhyHVH+b2Svqp85f4nixImjzmO7sH3QvCOAOeMdp+g4yn2FFV+fE707tm2lNatX0u+Pf1f14H/88ab1g0b2HDlp9dqQjSE5YZstSwaP3U6SJCntPXBEzcXHjx+reuN///13dAwxIK8J/29Ps+FZZk+7wP/b1y6YM/a1Dfy/fW2DnoGAnQggwWsna6AvAU+A/8do1er1lDJVao9j+fX2bcqRLaP6rniJUjR77gL17xs3rlOh/CEbRoVtmTNnofWbtqmP7927p16vRfOdwKQp06lCRc+b1/EKUq5ryYnf2LFjq3pXL774InHCMXuWDB5fheayDJxsfPXVV1WysWC+XOrVaTTfCHACat6CJYq7p7Z92xZq3LCe+mrUmHFU86OQGtdLlyyiLp3aezynS7ce1Kp1W/Xdnj27qG6dT3zrFI5WBDBn7HkjNGjUhHr17qeeUZ5ah3ZfWD+KHDh8nBIlSqwOq/dZbdq9O8jjORu37KCMGTOp73p270IL5s+15+Bt3Cv4f/saB88ye9oG/t+edoH/t69d4P/taxv0DATsQgAJXrtYAv2IUQQKFipMnbp0VwHzSy+9ZI3t809r0d69u9Xf7qt3q1WpQCdPHPfIYP+hY5Q4cRL1HSe6OOHlavw6Fa/s/f3R73Ts2BGPdRVjFFjNwTDHfgMGUd58BdRu8q62cME86tGts/qzd5/+1Lhpc/XvWTOmUf9+vT1edeTor+ijj0MSh6tWLKf27VqHOi5L1myUJEkSVdoBu9VHbjhezVu/QSNKlix5qBW92TKnV6sUeWXh5as3VL1jriOaPk1yjysMeU6cOntRJb94BSIn6B88eIA5E7kJPB7hrznD9ZgLFy5Kr772Gp0+dVL92IIWMQHenLNHr75UrlwFihc/vnXgtWvfUtFC+dTf/Azitxe4Xb4UTKVKhLwFEra5/9jIP1IVyJsz1CF8D2TPkYN+/PFHOn7saKRlVJxuN/h/e94B/nqWueYe/L/39wH8v/es/Hmkv+YM/L9vVoX/940XjgYBpxFAgtdpFsd4/U6A67NycPziiy/R6lUr1PXfeustVeOV27Vvr1LRwvk99qv2p5/R0OGj1HcXLnytNtZxtfETp1LlKlWtv3kVKdck7de3F505fcrv4wy0C3IiMEfO3JQ8RQpV+9VV+/j02YsU9+23VXIwbaqkHpOIbFNeGcdJx6dPn6rXmTnpyI03XVuxen2oFan379+nJYsX0NAvByE54sWNwgw/zJiJbt360dpAzX0u8OpCXmXoqc2et5CKFy+pvpo0cRwNGzIYc8YL5t4cYmrOfF63PvUbMDjUilR+q2H0yOHWM9Ob/jn1GP4xI1v2HOrZs3fvHqvUzJz5i6hYsRIKS83qlenY0SMeEbmeefxllUrlVIKdG5dC2bItiFKkTGWdx885/pGxV89uqNHrxQ0H/+8FpGg4xNSzDP5f35jw//oMTSiYmjPw/3rWgv/X44ezQSAmEkCCNyZaFWOyPQHeXG333oOqn55Wf/Ln7LQ5CcwbhHHytkihfFbg3qNnH2rWopU1Tv7etcEb/5s3YePNdDw1/qU8fvz3sEIugruEV4lyYsPTSjbXKWvWb6Zs2bKrPzmhPnvmdPVv/lWdyztw2QZP7eeff6LqVSpGWMqBX6VGmQfPhunUpRt90SakJEP9unVoV9COcAfyBlS8EQU3XrWb+cM01jE6c+bdd+PRb789pD/++MP2z5bo6KDOnOHNv7h2ufvzy/VvHsvBA/vp8zq1IqwHizkTscVdZRfYJyRLnMDjge3ad6L2HUPeXmDWtWvVsI5zf8sk7Mmc6G3WpCEF7dzuURd2idgu8P/R8ZTy7po6zzL4f+8YR+Uo+P+oUPPPOTpzBv7fnI3g/82xhTII2J0AErx2txD6FyMJcPDLK0C5cUKP67dyEO7evhw6gup8Vld9tG7tGvqiVTPr64uXr6nN3HjVae+e3Wj5siVUv0Fj6tCpi5Vc3LRxPbVo1jgcv8FDhivd1StXUOdO7bCRThhCLra8gjdXjszhVqnxa+TzFy1VZ/EK07y5slkKbdt1VDbgFnzxItWp/RF98MEH1L1nH8pfoKD6nOv6lilVjK5+cyXUlfm13oWLl9OpUyepeZOGSMCHsQsndznI47Z61Upq16ZluHt7975DapMpbi2bN6aNG9aLzBn+MeaDhIlo6JBBqmwHWmgCOnNmzbpNavUptyWLF6qV2WXKlqOevfsRr350zTN+Robd9Atz5tl3ojtb3iiSN4x0b1z3msuZcBkh9iXZs35I9+7eVYfwpmv7Dh5V/3748CHV+7w2/XjzJn3Rtr3yH64kPNfB5nrYnnTv3btLrVs2oyOHD2HKuBGA/7fv7aDzLIP/N2dX+H9zbHWVdeYM/L8u/YjPh/83xxbKIGB3Akjw2t1C6F+MJcDBMwfR3G7e/IGGDRlE69etVYF2ggTv06GjJ4lX2/KqQS4B4L568Lvvf1IB9u1ffqGc2UM2xuHGKw03b9upVuhy41ecvxobUuKBG39+5PhppcsrsDKmT4VViWHusBGjxtLHtWqrT7n8AjNcvGi+tdHaiVPn6d148dT3YV97HjN2AlWv+ZH6rm2blrRm1UpL3T1A4ZqyubJnoidPnljfHz95zqql+azXqWPshIhkYLw66vzFb6zX+Hm14ehRw63XzmvU/JhGjx2vVDzVG43qnKlWvSaNHTcxQl2n2sN93Dpzxn0TMF5l6vqhi59vCxYtI07icuPyM1Urlw+FG3Pm2Xdf0aLFae6Cxeog5sqlTaZNmaQ29eQ2Y9ZcKlW6rPp32HrjxYqXpDnzFqrvtm3dTE0a1bcuxj9WzZ2/WNXDZt3qVSuGqiE/feYcKl2mnEddzJcQAvD/9rwTdJ5l8P/mbAr/b46trrLOnIH/16Uf8fnw/+bYQhkE7E4ACV67Wwj9i7EEUqdJQ6vXbgpVq5WDZU688ooqTsJyGzywP02bOikUB/eaiWETiVxegMsE8ArfLwcNoKlTJlKtTz6lTJmz0IcfZiTetZib67sYCziKA2N+GzZtozRp04VS4AT7Cy+8YCUYjx45TB/VqBLqGPc6sbxJFK/udV+Z3bFzV2rTtoPaNIyT9ryBBa+ovnjha6vkBtfJ5AQvWngCVavXIA6iXXODj+BVnf/8848qq8GNeZcoVijcCmlf54zLLrz6mjfkY91SJQpjwzwPN6bOnHGvE7th/Vpq1aJpqCts2LydMmXKrBL5PC/4RzHMGe+fDsNGjKZPatcJdYKrXjgnaLm5nkfuzyquQ37qzAX1QyLPsSIF84YqH+PawM19XsxfuJTWrllFvAEln+dJ1/uex+wj4f/taV+dZxn8v1mbwv+b5RtVdZ05A/8fVerenQf/7x0nHAUCMY0AErwxzaIYT0AR4E0L+g/4koqVKElx48YN1/dffvmZcmXPHO5z99WKvOKXayHyKitXK1e+IvUfOJhy58iiVlmdu3AlVF3YsCt/AwqanzrbrkMn+ujjT4hfpw3bmDnb5ddfb4f6ipMavEL6vfdC6l2eP3+OqlQsG+rV8oNHTtDwoYNpzepVtGnrTpV0dzXWzZMzK7Hd0TwT4Dq7nHTNkzefldR1P3LL5o1qPoRtvswZV/LKXWPrlk3UtHEDmOUZBKIyZzhhu2vvQeuHE65nzXWtXY3fStiz/7BKMPJ8w5zx/RasVLkKNW/5BfHccf9xxKXU9osW6nkUtk2eOoPKV6ikPuYyDbzJp3uN8K/GT6ZXX31Fzbeu3XtSy1ZtQklEpOv7CGLmGfD/9rVrVJ5l8P/m7Qn/b55xVK8QlTkD/x9V2t6fB//vPSscCQIxhQASvDHFkhhHwBPgTdU4+N5/6JiVIOQNb/hVdG5vvfWW2jjK1fr2G0gNG4esduNVVP379bY2++LPWIsThpzgnTBpKpUp+9/rzZzgbVCvDp07dzbguZkeAAdtvGnaqDHjqELFkJW18+fNoV49uqp/M18+xlVCg8tr7Ny9X6365MblN8qWKmaVeHDZhb/jsg1cs9eVdOGVdd26dKSVK5aZHlaM0OeVI3Hjvm2VM2F+WTOlo99//11rzvDKaq6z7Krny2K8grRxo3p0/969GMHO5CAimzNhn2UlSpammbPnWXVdt2/bQo0b1rO6iDkjZy3etLNkqdI0bsIUJfrt1W+oWJEC1gXC2mbLtl2UPkMG9T0/4/ithTOnT1nHs63Z/3BJh4mTp6lNQV2Nk/Xsl8LWl5cbTcxRgv+3py0je5bB/0ef3eD/o4/9s64c2ZyB/48+u8H/Rx97XBkE/EkACV5/0sa1QMALAvwKerUaNVXNyWpVKqgzeBUb1+QtX7ZEqFfE3eu68nHt2rSi1atWhLtKoybNqE/fAeE+37NnF33RslmoxLEXXXTkIXXrNaBeffqr1bhcu5iT59wmTZlO8eLFD1Wu4e133qFt23dbNXU5ycubRLnOcQHk3dR37TlgJbZcn1+79i21bNaYLlz42pGsfRk0s549dyFlzZqNRgwbQhPGjxWZM0uWrSLe4dm9se25VumXgwcgaeWFkSKaM0dPnKEZ06aGKj3DrPkVfy5Pwy3sxpKYM14A9/KQnLly05SpM9XzqXTJInQpOFidySt9vhw6krJkTBvqWbV46cpQm0QWL1LAquPruiQH9We/vky8KtW9cZmGXj26eFwh7GV3HXUY/L89zQ3/b0+7wP/b0y7cK/h/e9oG/t+edkGvQECSABK8kjShBQJCBLgswOMnj+nunTtKceny1ZQ3X366fv07KlwgT6irNGjUhPr1H6Q+4xVWaVMlDZV84lUOXKKB/+ta6duhYxcrEOekVb7c2VEWwAvbMcNkyZNbCZGUqVLTzl37VIK2ft06tCtoh6XCxx4+eoo4AOE2ZfIEGjJ4YKirbN2+m9KlT68+mzRxHJUpU45Y09U6tPsCq3m9sAsfkjlzFjp79ox1tM6c4f8BXrl6vdLiObhkyUJq2qylVUbg1q0fVX1ltMgJhJ0zTZq1oF69+9Fff/1FObJ+GOrHpXTp0tPmbUHWivbyZUrQ11+fx5yJHHOUjuBSJK7VuPwMYz8RO3ZsWrJ4IXXt3CGUJm94V6hwEfXZxQsXqGzpYqG+79mrLzVt3lJ9xm+dPH36hIqXKGUdwxuItm4Zur5ylDrtgJPg/+1pZPh/e9oF/t++doH/t69t4P/taxv0DAR0CSDBq0sQ54OAHwis37RNJbC4bdq4nlo0axzqqitWraNcuUMSvzWqVaLjx45a348dN4mqVa+h/nYF7hzMd+/Rm3hl748/3qRC+XP7YRQx7xKcCGT2rhINNatVCpVk5PpivFs6t7CvQpctV4GmTp+lvnNP3FepWo0GDxmhykJkz5LBKu0Q8+iZHZHOnOE6yQkTJlIdrPdZbdq9O0iVSBk3cQrxzsRLlyyiLp3amx1ADFV3bTTIw+N6rlzXleu7ulqLll9Qtx4hNXjdS6Hw35gz5m4K3qX+xOmvVYkF/iGwT6/uNG/ubOuCXCaDV+hyApi/T5Y4pM44tzhx49KJU+fVDyCcuHc9t7heJr/hwG8quOaRuRHEXGWdZxn8v7n7Av7fHFtdZZ05A/+vSz/i8+H/zbHVUYb/16GHc0HAfgSQ4LWfTdAjEAhHgH8FP3LsNPHO5tz41f06tT+yVvhu3LKDMmbMpL6rXLGstSqLa4lygpETkI8fP6ZMGVKH2vCLA/M3Xn8j1MY5wO8bAffyF1yCgWvocgKQG6/GDdodUkP5yuVLVLJ4YUv8zPlLFCdOHPV3xXKlQtVDZnulT58BJRp8M0Woo6M6Z/i1woGDhyotrlHNtnFvadOlo6vffBNqHml005GnLly8nAoWCpkLnNz9tFYN6/7v1KWbqk3NbfasGdSvT0/MGT/dJZyQZV/iqgm+eNEClejl2tb82cXL19QPT0+fPlVviria++recV+NplEjhoXqMW8kGXYltp+GFCMuE9VnGfy/efPD/5tnHJUrRHXOwP9HhbZv58D/+8bLX0fD//uLNK4DAuYJIMFrnjGuAAIiBLi24fKV66xX+lmUa7v+9vA36zNOlnAS19XcE789u3ehBfPnRtiX/AUKUs/e/YiDQk4w/njzpior4Kmmr8iAYpBIrU8+paHDR4XaLI0TGvw/TBxocOPNhrh+K7cu3XpQq9Zt1b+5DnLdOp9ESINXkg4fOYb49fXXYsWiO3d+pbVrVtG4saNV4gUtYgK+zhneMIdfU+ckFq9S5LrJvMo0osblBj799DOK/14C+vOPP+jy5Us05MuBdPrUSZglEgIjR39FH338333PG0jyKves2bKr5w/z5zcLvv/+hs9zBs+yqN9+nIxdsny1VcKHf7S6fOkSvfvuu/RuvHhKmFe084pcbvxmCa+W43bv3j21yWFEjefX4CHDqUDBQhQnTlx69Og3OnL4MA0e2I9++ulW1DvtgDN9fZYxEvh//9wY8P/+4ezrVXydM/D/vhKO+vHw/1FnZ/JM+H+TdKENAv4jgASv/1jjSiAgQoBrHXLdXddmRC5RDq4rlC2pkr7c+FXyuQsWq39zkqpA3pwer88JSF6BlTtPXo/fc9KlYvnS9Pvvv4v0P6aK8GrdmbPnUfLkKcIN0b3+Lr/ifPpcsHqdmesf8+vMnNzy1Pr2G0j1Gza2Esfux7A9qlUpb9UDjqlcJcbl7ZzhRDoH69xWrVhO7du19nj51GnS0Nz5i60yDmEPeta5EuOJKRq8qReXI+HyF+6N50XTxg1o546QxKG3cwbPMpk7g1/XnDFrnkrEcrLdvfHmn9WrVrQ2YeM3RLgUDbfGDevR9m1bPHaCbT185FiKFStWuO85mc8lT5YtDfFXaBET8PZZBv/v37sI/t+/vH25mrdzBv7fF6r6x8L/6zM0oQD/b4IqNEHAvwSQ4PUvb1wNBEQIcHKwYaOmlCdvXnrnnXcpOPgi9e/bi548eWLpb9+5h9KkDVlNVa1KBTp54rjHa69Zt4myZc+hvuNAm1eU/v7oEeXLV8DaIIyTx0UK5okwESkyqBgikilTZqrzeT1KnTqNsgfXsdy2dbM1Ok7aNmwcstnQjGlTaOCAvh5H3rZdR+rQqYv1HZcLuBR8USXiXQkVToR99unHdOjggRhCz9wwIpsz/Ar6pW+uE6/i4c0KM6ZP5XGFNNcoPXL8jEo6cuPSJzt3bKe4ceNS9hw5rQTWsaNHqGb1yuYGFIOUOdArVbocJUmShH7++ScaOWIoXbl82ec5g2eZ7E3x7rvxqEmz5pQpUxY1L3YF7aSJE76yLsKrrdeuD3m2BV+8SGVKFfXYAT6ObeNKFvNq3f379lK69BnUWw6ukhBjRo2gsWNGyg4iBqpF9izjIcP/R4/h4f+jh3tkV41szsD/R0bQ3Pfw/+bY6ijD/+vQw7kgEL0EkOCNXv64OggYIcC1ek+fvRhp4N21e09q2aqNOo7LO1StXJ6ufnPF6hMnGDnRyA0bS8mYylV7l5OI6VIns1bCuavny1+AFi9dqRIi/Io07z6/ccN665DChYvS7HkL1SrgGzeuY5M8AdN8Xrc+DfoypHbo1MkT6cvBAzyqbt4WpJJS3LgMR42qFa0fVthey1eutTY8/PzTWrR3726B3jlbwps5g2eZ/++R+QuXUuEiIUld3iyPa8OHbfya9OFjp9XmbdzmzJ5JfXv3sA6LH/892rp9l/oxkX+wypA2hfqBBS3qBOD/o87O9JnePMvg/01bIbw+/L//mXt7RW/mDPy/tzTljoP/l2MJJRCQJoAErzRR6IGADQjwRlDbduxRPQm7UZGrexxwn7/4jVo9xSt3y5YqplYCh22uVXFc7zV1isQ2GF1gd+HKt9+r1XBhN13pIs5GAAAgAElEQVRzH9XhY6fo/fc/UB8NGtiPpk+dHG7Q7it8y5cpgU2MNG+L7j17U/MWISUZ3DcqdJctW64CTZ0+S310//59ypU9k8dVvrwZFb+KfvHCBSpbuphmz3B6ZHMGz7LouUe2bNtF6TNkoL/++otSJU/ksRPjJ06lylWqqu8OHthPtWvVCHdc8hQpaffeg+pz93I20TOqwL8q/L99bRjZs4x7Dv/vf/vB//ufubdXjGzOwP97S1L2OPh/WZ5QAwFJAkjwStKEFgjYhACvijp28qzqzS+//EzFixSg3377LVTv3H/xnjZlEg0e1N9j77mcAJcV4JYyWUK1ygot6gR4Ey9e1cZJkcoVyoRb9carQ3mVKLdnvfbMJQI4Qc+tV4+uNH/enKh3CmeqWsf9BwxWJIKCdlCDunXCUdm0dSfxJhTcIkoC83e8+po3+uIkcJaMaUFXk0BkcwbPMk3AUTx90ZIVqk4vt+5dO9GihfPDKV2+ekNtNPmssid8Er9xwitPI9t0MopdddRp8P/2NXdkzzL4/+ixHfx/9HD35qqRzRn4f28oyh8D/y/PFIogIEUACV4pktABAZsRcHe+XCd0yaIFNG/eHLr27VXV0xOnzqtd0Tlhmz5Nco8rEfm4jp27Upu2HdQ5SRO9F2qUdes1oMxZslKPbp0jPN9mWKK9O+4Jcy6/sGXzRpo1czpxzVZuvFFbyVJl1L/r1P5I1ar01JImS0579x9WX/EGRVxCw9W4VMCyFWto9KjhqM/rg8XPfn3Z2vDr1q0faeaMabR82RK6f++eqrnLgQazvX79OypcIE+Eyhs2byeuxXjv7l3Kmjl9qONGjRlH58+fo9kzp/vQM2cfGtmckXiW8SZJQ4eNpDatWxDbHi1yArzydteeA1ZtXd6AbeaMqbR500blV2rU/JhGjx2vhJYsXkhdO4f4EU+N61+/+uqr4X5cwbMscjt4OgL+P2rcTJ8V2bMM/t+0BSLWh/+PPvbPunJkcwb+P3rsBv8fPdxxVRDwhgASvN5QwjEgEIAEODCeMWuulSzkIWzcsI5aNm+iRuNaWXX82FGqUa1ShCMM2r2fOPnBZRySJU5gHcersjjhxf+9e+cOZcuSIQApRU+XmzZrST169bESI7yxVO4cWVRnNm7ZQRkzZqLff/9d1aOMqA0cPJQ4wc6tWZOGKlHsar379KfGTZurP7G613sbcx3Q9Ru3UqJE/5Ui4frH69etJffXyIcNGUyTJo7zKMx1kYOvfEcvvfSSShTmzZXNOi5X7jy0YtU69XfQzu3UoN5n3nfO4Uc+a87oPssY7dbtuyld+vSq5nXBfLno5s0fHE7cu+HzPb1g0TKVnOXG/LJn/VD9uNGpSzf6ok179XmOrBnp119vexTlH0P4RxFu69auoS9aNcOzzDv8ER4F/68J0ODp8P8G4WpIw/9rwDN8Kvy/YcBRlIf/jyI4nAYChgkgwWsYMORBILoJ8A7mvXr3o1SpUlOBfDlV4pCbq67VhvVrqVWLph67mTpNGtoRtE99F7ZcwLgJU6hK1WrqO34V/fixI/T06VOVDHNPNkb3+O16fX6Ntk+/gVS0WHFq2ri+qk/JzbWJl3vSN+wYOHi/cOlbVeeVayOnSZlEJeC58WvOJ09/be1Mv2P7VvXvy5cv0eyZM4h3sEd7NoGaH9WiFi1b05OnT6liuVLqYPe50LJ541Cb3rmrtWvfidp37Kw+CrtZm3ttRd6g7eefbtHt27dp/tzZdO5cSEkVtIgJRDRndJ9l5cpXpCnTZqoLc4Jy+7Yt9MILL9D+/fvUmw9PnjyBWZ5BgH/U4Dc9eN5sXL+O+vXtpY52f3U27Nsf7nKuOu/8mXs9cTzL9G87+H99hiYU4P9NUJXRhP+X4SitAv8vTVRGD/5fhiNUQECSABK8kjShBQIBRMBV1+ratW+paKF8Hnt+8MgJSpgwZPMc96RWkiRJae+BI9YK1LAnc9KxScN6tHt3SC1ZNO8JuOq38ivOaVMl9VjzeOy4SVSteshmRWET9O6v5nq66onjx9SKbVdC2PueOftI97qWCxfMU2VJwrYECd6n/YeOqdW7zDdThtRW7Wv3Gn+eSP56+zaVK1NC1cxG842AzrOMr+T+am7YK7Mdp06ZSEMGh9QhR/OegPurtR/XrEpHDh8Kd3KlylVowqRp6vOwP2rhWeY9a1+P1Jkz8P++0vb+ePh/71n580j4f3/S9u1aOs8y+H/fWPtyNPy/L7RwLAjIEkCCV5Yn1EAgYAi4v8bvaYOcqdNnUdlyFdR4wr5q7r7Z1N49u1VN0vfee49y58lHceLEUedwYqRRg7q0c8e2gGFih45myZqN1m3YorqybetmatKofqhufVyrNo0YNVZ9xhu1Fcqf26oZ6n4ub6q3edMGtblRrlx5KE3atNaq3mdt3mYHBnbtg+s1fv4Bo0rFsqE2yOOdnLcH7bV+EHF/1fzll19W5Uz4NXaeF2tWr6IHD+6rDdu4hjWXOeH26NEjKlG0IFZZ+3gD6DzL3FeZ8o9dvJKe7ZEvfwHLltwdrpnsWpnqY/ccezi/OcC1dfn+Zx/C97brDRKGwqviN28NUj+IcGvTujmtXbNa/RvPMrO3jc6cgf83Zxv4f3NsdZXh/3UJmjlf51kG/2/GJqwK/2+OLZRBIDICSPBGRgjfg0AMJfDaa6/R6XPBVu1E3uRr5Ypl9M8//1Db9h2tOqSczOIkouvV/hIlS9OsOSG7pf/ww/dUIG/OUITadehE7TuErG68eOEClS1dLIYSNDcsV5kGvsKNG9dpxbKlqsQC19zNX6CgdeHmTRupJK6rHTh83LIb13flOq+uxqtLN27erjbW41a6ZBG6FBxsbhAxUJnZ86pCLpHBK6w5Ac8rqJMlS0Gt27RTJTO4ff/9DVXH1dV4YzV+7ZPbiuVLqWP7NtZ3/D/BvGorb7786rMpkydgtaiP905Un2VvvfUWnTxzgfgVQ7Zn9iwZ6MGDB9bVCxcuSrPmLlAJSH4Opk7xX21mH7vo2MO79+xNzVu0VuPnH53WrF5Ju4J2UomSpejTOp9bb4GEnRd4lpm9ZaI6Z+D/zdqF1eH/zTOOyhXg/6NCzfw5UX2Wwf+btw38v3nGuAIIeCKABC/uCxBwMAF+7Wzz1p1W0i8sCk+lFk6fvajqvHKrXLEsnTl9KhxBV61RrsnboV1rSpo0uVrFtXHjOrpy+bKDiXs3dE4gLlm2ykr6hT2LV4FOGD+WRg4fan3FyZIhw0aqv7m+K9eyDNtKlylH02fOUR8vX7aETp86Se8lSEDXv/tOJV44yYX2bALuST9PR3KphVIli6iNB7nxhm1ctoFtyvOByzbwvHJvnOT99vqP6pgrly/RxAnjKGnSZPT48WNatmwx3b93D2aJhEBUnmVzFyymokWLK2XeNI83zwvb3GuNt2vTSj373n77bTp25Ajt2bMLdvGCgPuPfp4OP3rkMH1UowqeZV6wlDwkKnMG/l/SAp614P/NM47qFeD/o0rO7HlReZbB/5u1iUsd/t8/nHEVEHAngAQv7gcQcDgBTrwOHDyUKlWuSvyaOTd+9X/P7iBq07pFqFdqO3TqQm3bdVTH7N+3l+rU/sgjvfMXv6HYsWN7/I43ZBs2ZBAtWhiyChgtYgKNmjSjli2/sBLwvAHUN1cuU/NmjenqN1esE3kFIpcA4BWknPwtXCCPWvkbtvFOxD179/V4QdbmhG/dzz6x6sbCNp4JJE6chIYOH6US8MyeGydjZ0yfQqNGDAt10vpN2yhz5izqsz69utPcObPCibrX9/N0RV4p37RRfZW4R4uYgC/PMi6Pwa+ac+NnUpaMaT0KL1+5lnLnyevxOy5/wj+MdOnUHmaJhAAnRvr0G0CpUqexVu3yjyHdu3VWK+FdDc8y/95KvswZ+H//2gb+37+8vb0a/L+3pPx7nC/PMvh//9oG/t+/vHE1EECCF/cACICARYBrT74WK5bHFYOcsD119qJ6XZlXeubMnonu3b0bjl6FipVo0pQZ6nNOev148wdViylJ0mRWMoy/w6vo3t94vKInXrz4EW7AxcnG2p9+pgS5vmvbL1p4FD964gy9914C9R0ngB///lit4I0bN651PL9GXahAbo+29b7HzjmSX/Pjlbmc7AvbihQpRvMWLlEf37z5A+XPk8MjmImTp1HFSiErGDnp9euvv1LsN2PTBx8ktJJhnIBvULcONi708tZ61rOMJXbvO0TJk6dQas2aNKQtmzeGU44TNy6dOnNBPb+Y//XvrtEff/xJyZInt0rb8Ennzp2liuVKedkzHMY/aNy+/YvHjR7xLIu++wP+P/rYP+vK8P/2tAv3Cv7fnraB/7enXbhX8P/2tQ16FnMIIMEbc2yJkYCAUQIzZ8+jkqXKqGvMmDaFBg7wvBL0xKnz1orTsCUcWn/Rjjp16aaSVpwwyZA2BT158sRov2O6ONfWPXT0pEpCcZKRSwB4SjbWqPkxjR47XuG4cOFrKlc65NV0bu+//wGtXrdR/Zdb2HqYMZ2hqfG5z4Ua1SrR8WNHw12K7cclTXhOsN14TrhKZXCQMmX6LCpevKQ6z1PNa1N9j8m6XA+Z6yJze9aGg+7PvLAlHAoWKkyz5iywNsir91ltJN81bxo8yzQBGjwd/t8gXA1pzBkNeIZPhf83DDiK8vD/UQRn+DQ8ywwDhryjCCDB6yhzY7AgEDUCadOlo2079qiTeYUnJxG5FEDY1rJVG+Jdabnxpm01q1cOd8zYcZOoWvUa6vOG9T+nnTu2Ra1TOEsRWL12I2XPEbLR3aCB/Wj61MnhyHDyl0s4vPHGG8pupUoUDlcLmV+N/ubaDyrR+KzVpsDuHQH+MaNz1+7q4MOHDlKtj6p5PHHl6vWUM1du9d2XgwbQ1CkTwx3n2nCKbZcsccgKbLSoEeC5wCVkuBwN8yxRrFCocicu1dRp0tCOoH3PfOa5bzi1etVKatemZdQ6hbPwLLPxPQD/b1/jwP/b0zbw//a0C/y/Pe2CWMa+dkHPApMAEryBaTf0GgT8SmDthi2UNWs2dc3WLZvS+nVrw12fd7I9+/VltZkar87NlT0z/frr7XDHjRg1lj6uVVt9HtEmbX4dXABfzD0J9fPPP1HuHCG1XsO2/gO/pPoNGqmP+VV0fiU9bOPELm/0xf8DzBt9lSxeOIDJRH/XL31zXb3G/6y5kCdvPlq2Yo3q7C+//KzmjKe27+BRSpIkqaqNnSp5ougfXAD3wH3Dj40b1lHL5k08jmbnrn2qXiw3LnnCpU/CNq4rN3/RUvXx7FkzqF+fkB+30HwngGeZ78z8dQb8v79I+3YdzBnfePnzaPh/f9L2/lrw/96z8ueReJb5kzau5QQCSPA6wcoYIwhoEnj7nXdo0uTp9FacOKFe7XeXnTRlOlWoGLJid/68OdSrR1ePV+UkMNct49fQ06dJTn/++adm75x9Otfe7dm7HzVpVI8OHTwQDgbbjl8V5MQts86aKV2ojfNcJ9Rv2Jj6Dxis/ly6ZBE2jtK8rbJmy05cW3f7tq0RJv7cayLXrlWDDh7YH+6qiRIlpv2HjqmV1Vw3uVD+kNW+aFEjwPNgwKAhalPJvLmyeiwRU6lyFZowaZq6wLdXv6FiRQp4vNiiJSuoQMFC6rvPP61Fe/fujlqncJYigGeZPW8E+H972gVzxr52gf+3p23g/+1pFzzL7GsX9CwwCSDBG5h2Q69BwFYEkqdISbv2HFBJqN9//50ypk+lVi6GbU2btaSevUNq9wbt3E4N6oVsDOZqxYqXpOYtWlHiJEnozz/+oMuXL9GI4UPClROw1eBt3pkly1ZRvvwhCaqRw4fS+HFjwvWY7cYlHHgjPX5tPVuWDKE2WUuZKjX17NWHUqRMpVZo37h+nWbO4OTlFpuP3r7da9KsBfXq3U918NTJE1S1cnmPnV2+ci3lzpNXfde5YztatnRxqONatW5LpcuWowQJEtD9e/fp2LEjNHLEUI8bJdqXhn16xnOBf4R68803VadKlyxCl4KDw3WQn3m79x5Un9+9c0fNGfeGOSNvU4lnGT/jevXpT1mzZqc4cePQrVu3aOvmTao0iiefJT+KmKcI/29fm0rMGTzL5O0L/y/PVEIR/l+CohkNiWcZ/L8Z20DVfgSQ4LWfTdAjEAg4Alu376Z06dOrfnds30Zt0hW2cWKQa1/yxlGcRCyQN6eq9cqNVynOmDWP0mcInSRxaezbu4c+r1PLY93fgIPlxw5zbVeu8RpREsrVle49e1PzFq3Vn0FBO6hB3Trq3/w/u7PnLaRixUp47DXbr2ql8qq8AJr3BHgOcELdNRfy5c5Ot279GE6AaytzjUVP9uMfQ8ZPnKKS8mEbz68xo0bQV2NHed8pHKkI9OzVl5o2D6mly/XBuU64p7Zl2y7redWlU3u16h1zxtxNpPss457x67lftGlPXG88bHv69Ck1avA57d+319wgYqgy/L89Das7Z+D/zdgV/t8MVwlV+H8JivIaus8y+H95m0DR3gSQ4LW3fdA7ELA9gdJlytH0mXNUP69f/44KF8jjsc9jv5pI1WrUVN/xKkRejciN/2f36ImzFCdOHPX37V9+oQ3r11KixIkpT9781ko6TiYWK5yf/vjjD9szsUsHDx45QQkThtRsrfdZbdq9Oyhc1+LEjatKOHDSg2u8Zs+SgR4+fKiOc189ygmQTRvW09///E2FixQl3vGWG9ujWuXy9PXX5+0ybNv3w32jwSWLF1LXzh089tndfvXr1qFdQTvUcfz6Jyd++XVDbsEXL9Ke3UGUI2cuypwlq1plzS2iesu2BxRNHeTSMSfPXLDmQrbM6dWmkmGb+zMvbNkMzBkzxtN9lrlvAMordTmRe/WbK1SwUGFVa5mTWfzDSJ9e3Wne3NlmBhEDVeH/7WtU3TmDZ5kZ28L/m+Gqqwr/r0vQ3Pm6zzL4f3O2gbI9CSDBa0+7oFcgEDAE3n//A5oyfRZlyZKVKpQt6THRlzhxEuKNojiIfvz4MWXKkFrV4OXmvoGLe+LXBaBr957Ezpnbs2r7BgwwP3a0UZNm1LVbT7p0KZgqlS/t8crzFy5VCVtuXL6Byzhw+3LoCKrzWV31b05icXLdZTP+rETJ0jR1+ix66aWXnlmn1I/DDZhL5S9QkMaNn0yvv/FGqLngPoDP69anQV8OUx+dP39OzS1ucd9+m44eP2MlccNuesiJ+qXLVxOveOD2cc2qdOTwoYBhE50d5cT48BFjqGr1GjTuq9E0euRwj905fS6Y4saNq77jeXX27BnMGcOG03mW8bNq1pz5qof8g1TJYoXUM83V+A2S9Ru3Etea5R+5MqRNgdrwXtoT/t9LUNFwmM6cgf83ZzD4f3NsdZTh/3XomT1X51kG/2/WNlC3JwEkeO1pF/QKBAKOQPz470X4qv7GLTsoY8ZMaky8+RonarmVLVdBJQld7cGDB2o14+ZNG0KN37WZEQfnaVImCTg20dlhXiH96quvErMN2zJlykwbNm9XH9+/f5+yZEyr/v3666/T18FXVUKeGyc9pkyeYCV/XTruG7OVLF4ItZJ9NHREc4aTtFzCIVasWGpVIW+s9v33N5T6+IlTqXKVqtaVrly+RC2aNw7H3rWZoXty2MfuOfbwZz3LOnXppl7z57Z3z25VOgZzxj+3SlSeZdyzw8dOESciXW3H9q3Urk2rUKuz3TczdP+hyz8jC/yrwP/b04ZRmTPw//6xJfy/fzj7ehX4f1+J+ef4qDzL4P/9YxtcxX4EkOC1n03QIxCIUQS4VuiceQvVmLjMQv48Oazxrd+0jTJnzqL+5iQirwblxq+ct2zRRL1Cy+3TOp/TkGEjVbIrWeIEMYpPdA6GV1UnSZJUdaFJo/q0betm9e8OnbpQ23Yd1b///PNPa7XovXv3VGkN1+ZqnAD+7vuf1HERlYCIzvEF6rWHjxxDtT75VHV/9aqV1K5NSE1Ybpe+ua4S9vyaOfN3vVrOtmvftrXa5JDb3AWLqWjR4vTDD9+retdo+gR44zUu4cDPKV7NniNbRmszO8wZfb46ChE9y1KnSUM7gvaFe5axv5kwfiyNHT3SuqxrZTbXkOda8mj6BOD/9RmaUoD/N0VWTxf+X4+fqbPh/02R1deF/9dnCIWYRQAJ3phlT4wGBGxH4NSZC+rVV27VqlSgkyeOq3+/9tprdPHyNZWg4tq9/Ar62HETqWSpMup7TuZu2rheBdq86/lnn9cLl+Dl+rH7Dx6j1atWUN/ePbALug/W5wQiBxLcOKFeplRImQZuR0+coffeS6B4pk6RWG1OxJuwuRLwFy9coGZNG1L8+PFpxap16py6dT6hPXt2WRqjxoyjPHnzUasWTenM6VM+9MzZh/JKw0NHT6p5wSvWM6ZPZb0uXqFiJZo0ZYYCxLV7Z0yfQpOnzKDUaUJWXnPS6qsxo1Spjd17DxLvbs8rfwvmy2VBxZyJ+v01e+4CKl6ilBKYOnkifTl4gOicYZvdunWLWrVsSnfv3Il6Rx125rOeZRMnT6OKlaooIrVr1aC33opDw0aMJq63yO3e3bvUoX0b2r1rJ1359ntVf3n5siXUqUNbiyLXmR09djwN6Ndb1Y9H854A/L/3rPx5JPy/P2l7fy34f+9Z+ftI+H9/E/fuevD/3nHCUc4igASvs+yN0YKAXwlwEnfNus2ULn16OnhgvwqwXY0TTWfOBas/J00cR8OGDFb/TpsuHU2ZOpNSpEyl/uYVpNy4PtatWz9S3lzZLA33+rED+vehmdOn+nV8gXwxTpj3GzBYJTSKFMpH17+7Zg3n/MVvKHbs2HThwtdUrnRx9TmvXvhqwmQqXjykFiwn4HkDKv6cE8GciHStHnWvuczH8Hdo3hHgshnzFy1TNV779+tNs2ZMs05s2qwl9ezdV/3tXhKjUuUq9OXQkdaGhJy04lq93NauWU1tWjfHnPEO/zOP4o0iuT4v39OZP0yj5oCr6c4Z95rLhw4eoE8+ri7QY2dIPOtZ5tooKmx5H67tzvOJn3/cfr19m96NF0/92/1tBv7bveYyv4HCb6KgRU4A/j9yRtF1BPx/dJF/9nXh/+1pF+4V/L89bQP/b0+7oFfRSwAJ3ujlj6uDgCMI8Aqo48ePhlqV5v56/4xpU2jggJDElatVqVqNBg8ZoRKNrvbloAE0dcpE9SeXduASD9w4wThoYD+VFLsUfJE2rF8XKvniCMhRGCSzLVqsOK1ftzbU2afPXlQJwrAre/mgDBk+pElTpqvVoa527OgRqlm9svW3e83lXbt20umTJ9Ur7WtWr1QlA9AiJ/BxrdrhVgu6r1QoX6ZEqA0NeT5179GbeDMKV9KKr8LlGVzMMWci5x7ZEfzKf5w4cYnvefemM2fcay6zJq/A5uTxnTt3aPnSxdYPJ5H1zcnfR/Qsmz1vofpRile3p0qeKBQiXsU7buIUVcrE1R49ekQfpvvv2eZec/nnn3+iObNm0muxXqNdQTutt1GczN2bscP/e0PJ/8fA//ufubdXhP/3lpR/j4P/9y9vb68G/+8tKRznFAJI8DrF0hgnCNiQwLUbt+j555+nb69+Q8WKFAjXQ05a9ek7gHgzLw7Q06VOZpVhcK+5FPZETibuCtpBLZs3wW7oUbC76/V+Xj2dNVM6jwmmatVr0qAvh9Ebb7xBlSuWtcowuNdc9HTp27/8Ql06d6CgnSGbu6F5TyBX7jxWSQzeqJA3LAzbeGX8hIlTqVDhIqFWYPNxmDPes/b1SJ05M2LUWOKA3lPjRO+l4GBq3LCutdGer31z8vGDhwxX5X248apoXh0dtn34YUaaPG0mJU2aLNTbJO41Fz0xfPz4sSrVMXbMf3V8ncza17HD//tKzD/H6zzL4P/N2Qj+3xxbXWWdOQP/r0s/4vPh/82xhbK9CSDBa2/7oHcgEKMJuP+PzbNKLPBq0jRp0tKRw4cUD/eVjA8fPqTLl4LphRdeoAwfZiTeadXVFsyfSz27d4mUYY2aH9Oqlcux6vf/SbkHaWFLa7jD5OR8iZKlrU3X+Dv3motff32eHty/T0mTJaOECf9bPccJeF5N5/6Kuycj8cqvY8eOqDqZaCEEXElaXrVeuUIZOnfurEc0vFr37t271updyTnDqyUKFylKGzesh1k054x7zUX+Eev8+XP0x9OnlD7Dh1adWL7EtW+vUtHC+SPljTkTGhEnaU+dvahWtXNd4yKF8hL7jIieN7yBpOu55F5zkVfB//D99/TOO+9QylSp1Q+TrsZvL4Rd0R1Wn5PI7KPOnj0TqQ2dcgD8vz0tDf9vT7vA/9vXLlGdM/D/Zm0K/2+WL9TtSwAJXvvaBj0DgRhPgJOxZ7++TK+++qoa68YN66hnj67PTOhxYM31Ll9//XUViIetH8sbUY0cPU7V7M2WOX2EwbwL7szZ89TGblcuX6KSxQvHeObeDnDT1p3ESQluvMK6aZMGdOXy5Wee3rZdR+rQKSShHjYxzK9Dcw3fYsVKqNIDnTu2e6ZW3XoNaODgoWoFNtc7ffLkibddj9HH5cyVm1auDkmscpJ35PChqmwJJ80japJzhutq7tl/WG3CN2f2TLW5IVoIgajMmTXrNlG27DnU+WFrLvProLPnLiSuaV2/bh31VsKzGuaMZzpcb7dlqzbqS64T/kWr5rRzR0h5n4gal6LZvC1Ifc0JYfeayzyfuHQDa/ImhoXy545Ua93GrWqTyjq1P6L9+/ZiyhCpH2Ph/+15K0TlWQb/b96W8P/mGUf1ClGZM/D/UaXt/Xnw/96zwpExhwASvDHHlhgJCAQkAV7ZuXb9ZooXP77V/xs3rtOe3bvox5s36cqVy6FWiLq/csO1Y1u3bBpu3Pyaeu7ceWnb1s3qOy71sGzFGho5Yqi1Cpg/Hz9xKlWuUlUlESuWL6VehXYdH9nq0oCE7UOneRnlu/cAACAASURBVMXbwsXLKW++/1YN3rt3T9nlmyuX6eHDBzR3zixLkRPuZ85fUkkMTjzmyJYxVM1l14G8SdWGdWuthOSoMePUKtQ5s2ZYWvy6Oq/u4sYrsHklNuzyn/GKlyhF02bMVqy5MW9e+XnowH66f/++Kn8RHHzROiEqc4ZXKX45ZDi1a9NKbW7IjX802b3vkFqNzZ8VKZiXePMq2CYEta9zpmChwmqOcfvpp1uUJ2dWjzO05ke1aMXypdZ3mDM+PMj+/9Au3XpQq9ZtrRP5vj106ACdPXOa/vzjT5oxfUqoH5Fcr9zyCexjwtYp58+zZstOT548tvwGJ9gzZc5C3bt2sp5vnKTftGWnmjtbt2yipo0b+N75GHwG/L89jevrswz+3392hP/3H2tfruTrnIH/94Wu3rHw/3r8cHbgEUCCN/Bshh6DQIwjwP9jNHPOfCpSpJhKxro3DpYXLZyvPoof/z06cvy0ej3Wl5Wd7dp3ovYdOyuN48eOUotmjalz1+6q7iWvfKxWubz16iy/ajVj1lyVHObjnN46du5KLVp+YSUTXTx27w6iep/9Vzd0+sw5xK+Hc5s9czr169srUnSc/NgRtE8dxwlDXlmXIEEClXjn+8B9RSPbPmjPAfrl55+oerVKdP/evUj1Y/IBnBhZuHhZqM3ueLz8w0TBfLms0gxRnTNr1m+mbNmyK72lSxZRvz491YrG5MlTENdR5lfdeTUkt959+lO9Bo1o2NDBNH3q5JiM3auxeTtnjp88Z/2w5c1r/nxxzBmvTODxIH62fzV+UqjSF3wgl4DJmjm9dQ7XFx87LmQzT1/e7Lh4+RrFihWLnj59SoMH9qPdu4Joe9Be9YbKnj27qG6dT5QmP9s2bw2ihIkSUcP6n0Va3iHqIw6MM+H/7Wsnb59l8P/+tSH8v395+3I1b+cM/L8vVPWPhf/XZwiFwCGABG/g2Ao9BYEYT4BX3nbq3I2KFC1GCRK8r1a1ub/+umLVOuKNJrgN/XIQTZ403ismvHpqyLCRxLV2ObjmpBX/l1c+flSjikr6cstfoKBaUccJ5CmTJ9CQwQO90o/pBzGPxk2aK36JkyRRyd6c2TLSgwcP1NA56bR9517F9LfffqNMGVJHWl/Xxaxh46bUrXuvULWT+bsRw4bQhPEhq3i5BvOefYdVYoZXqlYoWzKmI/d6fMy+a7eelDlLVooXL76qJd2xfcjr6NyiOme4NtzkqTOs8gGuOcOruIsUzGPZnoOZNm07KHtzwp8TWWikniHPmjP8o0m3HiE/gnD9Vk7wetswZ7wl5fk4rhvestUXlCp1GvVMadSgrlWygZ9h5y5cIa4zzfd0qRKFIy1N47pKvvwFaNyEyeqHSG6uOXP0yGHlZ1zN9VouPyuLFspHv/56W29AMeRs+H97GjKyZxn8f/TZDf4/+tg/68qRzRn4/+izG/x/9LHHlf1HAAle/7HGlUAABDQI5MmbT5VZ4MYrCHNmz+SzWqJEiWnL9l0qeOfGr+n27tlNrVDk2mbLV65ViZl5c2erz9G8I7AjaC+lTpNWHdy2TUtas2qldyf+/1Fci3H1uk1WzV9OjHBZhj69utMbb7xBe/cfUUleXk1XqkQRr5PHPnUiBh4sMWcKFy5K8xYusVbW//LLz9S4YT06c/qUeuWdX31je/Gr566SKDEQpeiQuI4x1x7lH574RyYuzcBcfWmYM77Q8v7YfgMGU4OGIW9uRLWkQveeval5i9bWRQ8dPEAtWzRRJWuWLl+tyt7w6vcSRQta5U+876Ezj5R4lsH/m7l34P/NcNVVlZgz8P+6Vgh/Pvy/PFMpRfh/KZLQiW4CSPBGtwVwfRAAAa8IHD1xRm3sxK12rRpqE69ntSRJkhLX8nVvrtWGnFS58+uv1uvRvEM6a/PK1OXLllCnDv/VavSqcw4+qFLlKjRh0jRFgDdjK1akgM92cV85zTZj23F79OgR/fXXXxQ37v+x997xURxJ+3h9fu/3fL4722dscDhjchAZkUUQkhBZ5BwEEgghEYQIJomcgwCRJRAIJEQUEiAyQhI555xMso1tOIN9d8a+e+/e3+epvRnP7s7uzu7OCmm36x8bbU9P99PTXd3VVU8VoocPv6RA/0ZWk4l58DCodt2eOYNLj9+99ZYZb7LkbYixQCi1lBDx9q1b5FWhAht3hw2NpJ07MgT8GhFYvnIVBbUxeHSmJK+jCePHiDmjETtXFvvgww/pwqXrMgVQ9SpeMg2J2nthMPzmm6/ZSC+JMtrgu+++ZW9eKVrk8eNHTHECCoemAb5m+smVfSvodduzlqGvQv/nzYgL/Z83ODvyFnvmjND/jiDs2DNC/zuGm6ufEvrf1QiL+vMSAWHgzUu0xbsEAgIBhxBQhgBeuniB2rdtZbWe4D4hNGPWXDpx/BgNHhTOHItSSBQMUqF9e3NG+v4DBjI9ADzpIDBiNfCp5fH8rvYM0qYt25naAtI80M8ouZdpPZ9/XoyOnTzLmecHRwxg3mMkKtqekcnGw1XxK2jmjKlc39Jl8VS4SBG5ig7tWtPFC+ftaZpHl7V3zqSkbiEk/UDivKmTJ7DhVhpbzAt/3/r06tVLmjtvIXXo1Fn26MUYtm3dXHhV2/G1gQLgvffeY+Nh5QpljAyEYs7YAaTORcMHDqKYiZO51th5c2jpkkVW3yAllUSkAZLgYUylaIObN29Qq+ZN6C9/+YyWx69mPmtJFi2cT3ELY3VuvftWZ+9aJvR/3n0LQv/nHdb2vMneOSP0vz3oOldW6H/n8HPV00L/uwpZUe+bQEAYeN8E6uKdAgGBgN0IIKkEsscPHzbEZlgrQmQHRgyWPadg6G3kawjtR+K0fXt38/thcMzKOSZ7JeJvSLq2ZnUCzZ413aLRCh5Z3jVq0qNHD808Hu3umBs8AEN5iRIlbdJaIPtzwuq1skEd3JTAEZ7ToGSIGTea0QBNBhKqwdtNKUjsFjU4QuZ/VYMO3LGFCxemGzeuWzWcuQHsNrtgz5xJ37GbataqzXXCoAuP6SpVqtLPP//MntNff/0V/waPLSkJntQAcInGjPvCqhcvsqxXqFiJbly/Rq9fv7bZdncugAslGMqPHM2xSWeSF3PGy6sCvf7lF3r86KE7w66pb7hcwmVgcK9uVssXLlyEDh0+QvD6gcA7949/+CNHhTy4f48CA3zl9Wde7CLq1r2nUX0Pv3xAEeH9rV6IibXsN8jsWcuE/tf0qetWSOh/3aDUtSJ75ozQ/7pCb7Uyof/zDmt73yT0v72IifL5FQFh4M2vIyPaJRAQCDiFQMlSpSk+YQ2HkUsCLyspARUOz4dzjxMMT0gMNXXyRIpPSKRy5b24OMqhvFKKlyhJ61M2sjETRl4IjFvxK5bJCcGcarQHPAy8YxcuppatgmQMQZHRoF4t7j1w3X8wh8cNXMutWgTSzNlzqWmzFvzb4ayD1C8k2AypiZOmUo9ewTyeEBjzL1+6SMOiBgvDlcbvCskncIkCSgxJ4O2effgQ/xNjgGzpGIepUybSV0+f0vwFcfT+++8z3t7VKrK3vFJaB7WhmbPmMYeyJBjvSRPGy4mtNDbPY4u5Ys7gkLk+ZRMnrcQFCwR0KPv37aUR0UPon//8p8fibU/Hh0WPpKHDhssY4oKwpndlOQpk6vRZFBLany8OO7RtRYHNmtOgwVFcHpy8mDOmItYye0ZAvazQ/85j6IoaXLGWoZ1izjg/WkL/O4+hK2pwxZwR+l+fkRL6Xx8cRS36IyAMvPpjKmoUCAgE8gkCHTp2prgly41aA+7QCTFjKGl9KidbM81gD4NU7+AQ5vlVCgySy1YkMJWAmsBI3KdX93zS8/zdDBy+D2blyp68aO3Lly/pi5HRNGz4SPYcffXqFfk2qCN76yLkcP6CxRQW2sco6zw2qki+B09gNYGhqmf3zjzOQmwjELdkBXXo+Nu3D8Mtkk1tT9vG3tfwrjYNX0eitXfffc/Mg3vylOnULyzc4ktnzZhGCfHG89N2Cz2zhJ5zBhdVOzP3GRnylaiCO7ZZoJ+gqtHwqUEfHD1xhuAtJwkM5cuWxNHv3/49G3PB0du1c3t5DYLegV7akbGdMnftlJ8Ta5kGwO0oIvS/HWDlYVE91zIxZ/QdOKH/9cVTr9r0nDNC/+s1KsTnQaH/9cNT1KQfAsLAqx+WoiaBgEAgHyEAg+zKhET2NoQh6d333uXM5pK3GpoKY2/zpn42W61MJILC4AGOX7mcPitalPqHhcuHe1Njsc2KPbAAEhMdyj5Kf/zjH5kjGUmm5s5fSH/+859lNMBN6tugrpEh1xJUJ06fJ9QJAZ3Alk2plJV1kDp36U7tO3SUaTrA4QuPXiGWEZg5ex71Du7L3oZ9g3tQaL8wCmza3OiB+JXLaPbM6TZhXBS3jDp27sLlYCQGLUrqhmRCVu7efUJkT+v5c2cL73cbaOo5Zz755FPmwZZ4x7/99hklxK+g599/R3369qM6detxaxCZULVSOY+nObE2NLjsyMo+SqXLlGVv3NCQ3hS7II7KlisvP4Zvv2/vHhwlYkvEWmYLIe2/C/2vHau8LKnnWoZ2izmj3+gJ/a8flnrWpOecEfpfv5ER+l8/LEVN+iMgDLz6YypqFAgIBN4wAv4BgZS0fgMb9xYtmE9xiwwJbZBZG7etEr0Ce1otjbOa8Ob9QoXo3IWrskHENOs96tq97xBVrlyF31GlYln66aef3jAC+fP1yCifc/QkvfPOO3Th/Dnq2D6IGwoML1+7zaH+EBhFDh7Yx3zLMPZaEulAgt9h3A1o3MCIn9nPL4CSklMNnL6HD3FyPSHqCCDENSw8gg163bt2pDOnT3FBKWGR9BQ8rUePGs7jY0kw/9Ylp8pjGR4WalQehwxwX8OT0VKYuhgnAwJ6z5ncoycJ3kCQ+/fuMlcs5psk4C/FRRgEHvVbt2wSQ6GCANasvQcOU8WKlTjaoHGjerLHc+qmbZywUBJcJA6KHMDcvGItc/3nJPS/6zF25A16r2VC/zsyCkL/64ea62vSe84I/a/PmAn9rw+OohbXISAMvK7DVtQsEBAIvAEEwPV5/uI1Dp1JWLmcZs2cxq2AMQkZzpEUBwlx/vPvf8uGDvCGBrVqRuAGNZV9B7P5EA/JyTlMIcHGyXLwd3hwZece5zJasq+/AVjyxStPnrnA3s5IgIYM85Js3JxGDRo2YiMtvKPx/xAY4IcNjaQ9uzPN2g/u0LT0Xfx3GCUD/BoSEheZyp79WWx8R90VypXMFzjkt0aAlmRFfCIb+vB9I5kdpFp1b0LyFcwleFtXrVad5xHk2rWrFNSyqVlXwBd3/tJ19tCGjBszijamppiVA63D4CHD+O8NfWrT06dP8hss+aI9es6ZMeNimDIA8uL5c6pbuzp7a5vK3QdP6Pe//z3PxfZtW+ULHPJbIxYvXckRAvB09mvkI0cbSJm4pUsq8Fpi/uDf65LW0JRJMWItc+FgCv3vQnCdrFrPtUzofycHQ/G40P/6Yal3TXrOGaH/9Rsdof/1w1LU5BoEhIHXNbiKWgUCAoE3iADCwMHJujhuAbfiD3/4Ax05fpo+/vgTNiThQM5Jbzp2phmz5rIHaeUKZczCkZEdetJkg4EYBsJqlcurJh+Ch+jDJ8+4HMLQx4/94g32Pv++GqFmg4ZEUcy40bLX4JqkZKYB+PXXX6l5U3820oKDd3n8aipevAS1bBZAN2/eMOvUtZv36L333uO/Y5wXxs5T7bhUP4zAJYt9mn/BecMtg2Hq4cMv6dDB/dwSL68K7JkOSpOM9O0UHTWI5wnmQ0i/MLpy5TK1b9PSrNWbt6aTT/0G/PerV69Qm1bNVHvWqXNXWhi3lH+Dx/CpkyfeMAL58/V6zRlcQh3OOSZHL2BcMD5qcuHSdSpcpAh/D1grhZgjAAP4pCnTacWyJfT1119xgT59Q2n6zDn8/9FRgykjPY0QAbJseQI18m1sFE2irFGsZfp+YUL/64unXrXptZahPWLO6DUqhnqE/tcXT71q02vOCP2v14gY6hH6X188RW36IyAMvPpjKmoUCAgE8hEC8J6CcRcbJfBNgtsVxkRJYJxF0gE178/rt+7LHosR4f2ZR1RNJA8I/Ibw9S2bN+YjBPJvU6RbcHjqtm4ZSHdu3zZqLBKr3bt716wDSsM7jCv166onWMODZy9cYcM+vLSrV62Qf8HIRy1DCP+BQzm8iQUVw4D+IUatg5ccBJgq5fPPi9HxU+f4T7hAqV2zKlMwqMnylasoqE07/qlsqc9VL07yEST5pimOzhml4X1HRjp7xqsJuHnhwQtjfnZ2FoX26ZVv+p6fG6K8sMAF1oaU9UbNxQFbjaJBrGWuHVWh/12LrzO1O7qWiTnjDOq2nxX63zZGb6qEo3NG6H/XjpjQ/67FV9RuPwLCwGs/ZuIJgYBAoAAhgAPekmUrOdy8RVN/DqnVIkruUVvJ2NZv2ETge4X4+dY3MxbDUNmrVx/yqd+Q/vW//6LzZ8/QwgXzPJ6rF+Hi4QMjqU/v7ha9CdXG6vLVWyQZGdu1aWkxeRq8565cMxiNr1+/Rq1bBBpVh8RuwX1CKaBJIBvyb9++zXzN1rgytXw7Bb0MLkMS1ybTt989U6UksdS/dSkbyd/fQL2xKn4FzZwx1SIU4FwuVKgQX7aUK13MrBy88Dp26kJVq1WjH374gfbt20NrE1cZ8cUWdJwdab8jcwY8frjogNEWeFcsX0qVmgHt6dkrmGbPNXCWL12yiClnlCLmjPqoNW7sTwsWLaGEhBW0OmGl5qHVay3DC3v07E3NWrSkEsVL0NOvntLa1atkuhXNDXKzgkL/598BdWQtQ2/0mjNiLVP/NoT+d685I/S/68dT6H/XYyzeYB8CwsBrH16itEBAIOAhCEhhyugu+GLBG6sm4PRFWXgCq/G89gsL57B2KbGbVAcoA+DppcZP6iEQO9TNNm3b0bIVq/hZNaOtstJViUnUvIWBQxQUDhJlB/5do2YtQjIkiStW+dyunTto6OCBDrXPUx/CYfnK9Tv8nf/yyy/Md4xvXE3AXQpPFIgaz6ty3JTPI+Fe5w5tVCk7PBV3Lf1eEb+aWge15aJqRltlHeAvL/LRR/wn8ForLzvEnNGCtvYyeq1luMjK3HOAk4iaypcP7jO/vLVkldpb7Dklhf7Pn2Ot15wRa5m+4yv0v7546lmb0P96oqlfXXqtZUL/6zcm7lSTMPC602iKvggEBAK6IAAPhhOnz3Nd1nhE8fvadSmERDoQZVI3/BuGSChxSX766Sd6/fpnpgyQZPmyxTRvzixd2u0JlYAXFhy9kGaBjc1oHSQMlF4L//znP6l8meKywRHe2eDKlIzuoIh49uwbAsWA9LeLF85Tx/ZBHu8xqvWbGvnFGIoaNoKLW+NExu+XrtzkZIcQJRcsErTtP5RjZKjCuLzzzrsyVQqoH/qHBHu8Z6LWcUG5O/cf09tvv82Gd6+yJSx+0527dGMvVIhp1IKYM/Ygrq2sHmtZpUqVKS0jU76oQjK3J08e06ef/oVAtwF5+fIlR6+AokiIbQSE/reN0ZsqocecEWuZ/qMn9L/+mOpVo9D/eiGpbz16rGVC/+s7Ju5UmzDwutNoir4IBAQCuiCgpGewxqkLrrKcIyfYKAgjIUKfYUyERA4aSmPHT+D/x6EbHqGZu3byv3GAhCELtAAQNVoHXTrihpVI4Zm2OHU3bdlO9Rs0ZATAhwlvaUjFipVo74HDsiE3JXkdTYwZy2OEcN5dew4QNk0QW4ZKN4TX4S4p6RmQsNASFUpo/wE0ZeoMfg94r/HtS5KWvouQHR3y97//nT0PJW7sZs1bUsLqtewpD0MlDPZCbCMAHmVw6kKscepiDYMHNjyxIMrEd2LO2MbZkRLOrmUw4F64fENONgmjfOeObeS5h3mG+QaxdVHpSPvd9Rmh//PvyDo7Z8Ra5pqxFfrfNbg6W6vQ/84i6LrnnV3LhP533di4Q83CwOsOoyj6IBAQCOiKwNLlCdS2XXuu01oCqKMnzlDx4iW4XHraNhoePYT/H0nbco+eZGOUqXFXamjhwkXo/KVrbGjctHEDjR09Utc+uGtlD588Y1wP7N9L4WGhqt30Dwikdcmp/BtoAmBwRIgynkPoreQ9imR4MOArBeOBMPXCRYrQw4dfkl8jH3eFUtd+5R47RSVLlqLn339PtWpUUa0bxkMYpH73u9/x7/1Cgulw1kH+/97BfWnm7Hn8/zDgBvo3oqdPDYZJSZQepl07t6czp0/p2gd3rMynfgNCghXIkEHh8iWTaV/nzl9I3XsYEqp99dVTalCvFv+/mDOu+yqcWcvQKqVRBWtVQOMGZrQoUoQJ1sFSxf8iIhI0DKfQ/xpAekNFnJkzYi1z3aAJ/e86bJ2pWeh/Z9Bz7bPOrGVC/7t2bNyhdmHgdYdRFH0QCAgEdEVgZUIitWrdhussWexTVS5RpYcuqBdqVq8ke++eOX+ZPvnkU37emvEWHnPvv/8+h9Q2ql9H1z64Y2Uwvj56+i137dDB/RTWr69ZN+GFiwReknf0nFkzaOWKpVxu+cpVFNTGQJlhzXibnLqZkDQBRhGMvxDbCCCJF6hHXjx/TjW9DR7QpqL00D139gx17mjghUU4+fFT59iDGtK3dw9VCoY//OEPdPveIy6zdcsm+mJktO2GeXgJJc9bcM9udPRorhkiXl4VOKIA8wsXUuAcv3nzhpgzLvx2nF3L2rXvQEuWxXMLETVSy7sy/fjjj2YtVl6cWBp/F3azQFYt9H/+HDZn54zQ/64bV6H/XYetMzUL/e8Meq571tm1TOh/142Nu9QsDLzuMpKiHwIBgYBuCDRs5MsJuCBTp0yktYmGpF6SwEM0af0GOcy/U4c2dP7cWf4ZmaHHjIvh/wf3oXfVCha9pm7dfcjciZcvX6J2QS10a787VyR5TQNbnzre9Pr1a7m72DTtO5BNFSpW5L8pk7CBTgNe1RAYsRo38qHHjx6qQrVj117yrlFTUAHY8SFJHqDAtnlTPzNu5ImTplJYeATXiGSEMEhJiZ/Sd+ymmrVq829Hj+RScK9uqm8GRzIMwZBFC+dT3MJYO1romUXhtfbg0dfsiXvi+DHq2b2zERDgqs45epLeeecd/ruSE1zMGdd+M46uZWjVjdsP5DEDxUzy+iTVxg6LHkkjRhnoaRr61DbzindtDwtm7UL/599xc3TOiLXMtWMq9L9r8XW0dqH/HUXO9c85upYJ/e/6sXGHNwgDrzuMouiDQEAgoDsCkvEVFS+MnceGj3//+98cSj5txmw2mEDA4Tph/Bj5/Vdv3FXlsTRtYNly5Sgr+xj/WXgjah++oVHDadTosfwAkgZ179qJeVph/EtITJL5c3/99VeqXaOK7NUGgz0O7hAYQ2AUsSTgLAV3mfCs1j4upcuUpezc4/wAPApBn5GTnUVInDZpynQ5/B+/9+nVnY4cyeGyyoRGeK56FS/Z8Gv6dlyc4AIFIrwRtY+NdGGBJ3JyDlN01GB69fIl1a3nQ4lrk2UO1y8f3Cf/xg3kisWc0Y6xIyUdXcv6hvRjHQR5cP8eBfgZuMbVBHzj4BQX0Qj2jZDQ//bhlVelHZ0zYi1z7QgJ/e9afJ2pXeh/Z9Bz3bOOrmVC/7tuTNypZmHgdafRFH0RCAgEdEMAYcsZu/YaZSf/3//9X5k/FC8ypQno0LEzxS1Zzm1AiHPLZgEW26MMAx05PIrStm0xKgtj5MhRY6i8VwXOhv7ixXNKTUlmQzMO654sCE1GiJIk8AiFJ7Qk4HDt1aOL7FVd6IMP6NKVm+xxDcMvkuFhLNVEGdIGfljwxCoFdAKz58VS9Wre9O5773FCI5SbMX0KIfGbJ0uPnr1p9txY2bMdBlvw7QJ3CLx7p0+bTGtWJ8gwKXlEVyxfQnNnz7QI4bmLVwkepxCvsiWMvLfxt/4DBlKPHr2YAxtz5OmTx7Qgdh7t27vbk4eFjez7DmbLfOEAw3TOgHe3dcumbPiF6DlnxFpm+fOzdy1DTeARB0c4pE2rZpxATU0whhcv3+DLyB/++lfyrmaIbJAEf581Zz75NvZjehWsm9euXqFpUybKFB2eOnGE/s+/I2/vnNFzLRP63/J3IfR//pwzQv/nz3FBq+xdy4T+z79jmd9aJgy8+W1ERHsEAgKBfIMAeHS378hkL0OlwFA1c8ZUWp2w0ujvJ89coM8+K8p/ax7oR7dv31LtizLBGg7VMFahTkmih4+i6BGjZMOYspKvv/6KWjT1J/D+erIg7Bg34JIntYQFDFVBrZoZGVvjFi+nDp0MoemL4xawR7YlURpPTMfQ19eP1qxLYYO7qcBw3KVTO7py+ZInDwtzF69ctYaNikrBd967Z1cC964k4Ny9//Ar/s5hcKzkVdri5YXy8kRJvYG68A2kpG6RPbRNB8ASX7MnDRQwBkaNfBubdRv4DOgfYrQG6TVnxFpm+yuzZy0LaNKU6YEgMOzCwGtJEteup6bNDNQ/S5csoth5c+Si0G279uxnw66pQBeBmihpzWrbjXfjEkL/59/BtWfO6LWWCf1v+3sQ+t82Rm+ihND/bwJ1be+0Zy0T+l8bpqIUkTDwiq9AICAQEAjYQKB2nbrUrn1H+vjjj+nEieO0c0e6qrcmEoBhI2Ua6mxafVJyKgUEBPKfk9Ym0pRJBs5eiDIRCP597+4dunjxAhuvJOMxkukE+jei77//zqPHDkm3QkLDqGq1avTXv/6VMnftoDOnT5lhAt5WUDjAa7dMyaIWOZG7de9J82IX8fPAPTDAQOkAMfVOAfY52YepWjVvKu/lxeMOr9HQPr1UE4R52kDBIIvD3v/3P/9Dhw7uowP798lJCCUscGBO2WjwXDelOjHF6/LVW+xVClFyXsO4i/GV5gbG+OyZ0/Ty5Q/k29hfTrZnyxjmKeODy6rgviFUpkxZI4SyCQAAIABJREFUunHjOu3ckcFh/qaix5wRa5n2r0rrWha7cDF16drdbB6YvgnGydPnLvG6BE/6CuVKylELoAfau/+wfFEFLuzDWYeoSJEiVKt2HTlKxZZHvfbeFeySQv/nz/HTOmf0WMuE/rfvGxD63z688qq00P95hbR979G6lgn9bx+unlxaGHg9efRF3wUCAgHdEFAmgLJ2MK5W3Zt27d7P74UxqnKFMnKoeafOXWlh3FL+DV5U/UP7cPi/JDETJlN4xCD+55bNG2n0qOG6td+dK7pz/zG9/fbbVmkzwLl7+dptmerBlCf22MmzsrewqVEet+prkpL5d8Hbq/1LGhczkSIih/ADzQIbmyVmk2oC5zK8tSGm+K5KTKLmLVrxbzBUBTRuwNzMEBi3du87RJUrV+F/g7bj+LGj2hvowSWdnTNiLXPNx7Nz936qXt2bjbZlSxlHlijfuGd/lvzdKzneMSeQ8V6iOrl75zY1C/STL71gGM7KOcYXI7iwKl3iM4+nBNIykkL/a0HpzZRxdi2DUUzof/3HTuh//THVq0Zn54zQ/3qNhHE9Qv+7Bld3rFUYeN1xVEWfBAICgTxHQBlC3jaohcVQ/fMXr1GRjz7i9im9FkHbAI8rcJZChg2NpB0Z6Wb9yDlygkqVLkMvnj+nmt6V87yfBe2FMGjAsxqSnraNhkcbDIqmogxnNvXAPnH6vEzTsWvnDho6eKDZ8zNmzaXgPoYw9yoVyzI3rxDrCIAyAPyfwKzE5+ah4nganrnwwJKoOJTJ1Vq0bE0Jq9fyS2DwauLXkA3ApvLg0dcEOoisQwf40kSIdQScnTNiLXPdFyZRyICKpkG9Wqov6tylGy1YtESeFzWrV5IpffB3/A4B3Y9vg7pmfOTw4t2ekcllRkQPpe1pW13XITepWej//DmQzq5l6JXQ/64ZW6H/XYOrs7U6O2eE/nd2BCw/L/S/67B1t5qFgdfdRlT0RyAgEHgjCJQsVZpyj57kd0+ZPEGVvxDh/6ABgDx79g3Vq+0ttzUr+yiVLVee/52dncWh/moCT9HAps2tGsXeCAD5+KWSN8KF8+eoY/sgs5Y2a96SVq9Zx3+HVzUMJ5IX6JRpMym0Xxj/ppaoSKpM6bHQt3cPQdOg4XsAz/TwEV9wydo1qppRjuCgceT4aTk5GOgEooZEcPn33nuPzl+6TvC8howdPZI2bTRwk5qKlk2xhuZ6VBFn5oxYy1z3qUgePPBWR7JIU0ESKMwZaV4MGRROmbt2crH6DRrSpi3b+f/hnQvj7tOnT8zqwGXKwycGL3gk/0QSUCHWERD6P/9+Ic6sZUL/u25chf53HbbO1uzMnBH631n0LT8v9L/rsHW3moWB191GVPRHICAQeGMISDyh8CZsF9TCKBP5mHExNGiw4aCMw3XjhvVkb0M/vwBav2ET/4ZkVNWreMm0Daadyc49TqXLGDxEQe8gxDYCSs7jCePHsOe0JOCJXZeyUfYQVRoKwYt1/dZ99v6EdGjXmi5eOK/6wukz51CfvqH8W7UqXvTq5UvbDfPwEn/+85/p6o27jAK8CeGB+/r1axkVZZg5PNZr1agih5Iruchu3rxBLZsFWERT8uA9dfIEde/a0cNR19Z9R+eMWMu04etoKSVP+P59e2jggH5yVfCcyj12Suadzj58iEL79pZ/V3oiWqMRqlGzFmXs3MPPTZs6idasTnC0uR71nND/+XO4HV3LhP537XgK/e9afJ2p3dE5I/S/M6jbflbof9sYiRIGBISBV3wJAgGBgEBAJwQQoo9QfQg8QU+cOMYGwfbtOxI8fCQx9fA9nHOMypQtxz+DVxf8umoCzyoYq/Bf0yRgOnXBLavx8qpAmXsPykmFrl27SlkHD1Aj38ZUs1Zt5mqF5OQcppBgg4c1ZOr0WRQS2p//35pXNX4HR1+xYsXpX//6FydyMxWMmX9AIPn5B9BXT5/S7sydbNT0dAHFAqgWILi0wLi8evWS2nfsTIUKFZLnUqsWTWSOXhjcb997xHQmoHeAJ7zkcW2KpzKRmyl3slQWNBDtO3SiwoUL05kzpwmGM08XR+eMWMtc++VgHQGVz8cfGyhNQNWwJ3MXfVa0KCES4a233uK/40Kkbu3qMv1C3Xo+tDVtB//28ocfqHrVChYbOn9BHHXt1oN/t0Y35NqeFrzahf7Pn2Pm6Fom9L/rxzM/6H/X97LgvcHROaOn/gcPfKvWbahK1Wp0+9ZNpgpSOgAUPFSdb3F+0f9Vq1ajoDbt6Nd//soJWi9fuuh850QNuiIgDLy6wikqEwgIBDwdgTZt29GSZfGyR6gSDxh9o6MGySGz+K1Spcq098BhLvb8++/ZS9GSjB47ngYPGcY/qyVZQwK3//vPf+jq1StyFfAaTt++zaIBzFPGq3iJkrRn3yHZu8203+uS1tDkiePlP8PoizA1hDrD4xp8x6BoUBPlGKolWYOxZO78hWbfBIz/Pbt39vhNq8RfrIbtq1evqH3bVvTwywfyz0pv+AP791J4mMFzWk2UXsCmSdZwgEhLzySvCsbGLoS/x4wbTRnpaZ4yPVT7ae+c0XMtAwWHf0ATAi2HJFhbv//+ezpz+pRHjwuMuJl7Dpp9txIoWP87d2hDv/76q4zTgUO5cnlL/O4ojAPkrbsPOSmlpSRruJA5f+4svXjxnOuHp2Pk4KG0JG6hGZ+vpw2U0P/5c8TtXcuE/s+7cXxT+h89FHtmy+Ns75zRU/8rI7SkFkIfpW5IJkThebK8Sf0Pw/+29F1MkaYUOFj07tmV7t01ROQJefMICAPvmx8D0QKBgEDAzRAoW64cTZ8xh71DoYxBu3Dv3l0aOjjCyFCFbqdu2kYNG/kyAhHh/Wnf3t2qaMBr8eadL9ngCK9FeGCZ0gBcunKTPvjwQ+ZVPHfmDFWuUoXKlffigzroBTz9lhWbkslTZ7DH6DvvvMPGCGC1YP4cI6M7BqBvSD+aNmM2j4WlxGrSQBkZT6IG0Y50A88lROkNh39j7CSPYfwbnnbNm/rLxhI3mwqauwPvw3HjJ1Cx4iWYEuPHH3+kc2dP06CIAUaGKlQIWgeEd+K79q5W0SIdBg5vu3bv5zaYXp5go5qWkWlk8Ed9UjI3PLMwdh4tjluguQ/uWNCeOaPnWpa0fgMFNGlKMPCfPHGM3n33Pfa4hyxaMJ/iFsW6I9x29WnI0GjmB/+wcGF+7vvvv2Mvp7mzZxrVowyFxkGsbq3qFt8zPmYSDYwczL8fPLCPBvQPMSoLjt9TZw3eOjduXKe7t2+Tf5NA9rb/+9//zrRBWOM8WYT+z5+jb89aJvR/3o5hXut/qXdiz2x9nO2ZM3ro/z/96U+UvmOP0eWl6b4MVFs9unXyeD2T1/ofyVlxnlHukZXnGUQv9undnU6eOJ63i4d4myoCwsArPgyBgEBAIOBCBGDMs3bgPXvhCofb/vzzz1ShXEmLLVGGCx49kkvBvQyZ0CWB0k3esFk2gih/g7GsWuXyHr8hUmJia1xWxK+m1kFt+REkXUMotJrUrlOX0tJ38U8wRgFnSSZPmU79wsL5n/gGYJiKX7mMjVUTJk2lDh078W8wzCDJmBADAtbGRpnh+dLFC+zda0mU4YJK7mUcWs5dvMZeipAH9+/R8OihdOXyJWoS2IwWL10hG36HmRjsPXmMbM0ZvdYyYDxq9FiOVlAeJqR51LiRDz1+9NCTh8Ks79bGBl6ly1as4mdi582hpUsWqWIHT1xcnuBS0hL1CWhoNmzaKic+VFaEgx0O3kJ+QyCv5ozQ//Z9dbbGReh/+/DUs7Sr9b/UVjFn7Bs1W3NGD/1/6PARdkqB4MJw7OgR7HxRsWIl3pdJv+3dk0mRAw3Jj4VY3zProf996jegzVvTZaj37N5F06ZMopcvf6C+If1p/IRJ8r4dZyCcOYW8WQSEgffN4i/eLhAQCHg4AvcffsVcotYOx59/XoyOnjgjGzt8G9azaOAAN9Ly+NXMByvJoIgw2rM708ORtq/7klfuTz/9RFUqllV9GBteeIAU+uAD/n3OrBm0csVS/n94j+7M3CdvegZHDjAbA2VoorUxta/l7l1aGQY4dcpEWptoMFyZSs9ewTR7rsHLEweFSl6/cWDvyNxH3t41+LcvH9ynJv6N2BtYko8++pg5lWEAvnTpIrVv09K9QdWpd3qvZZhXy1esogYNG8ktxGFvyCDDpYkQbQjMmbeAevQ0JFuDx7slqhkkm/T3b8Llzp09Q507Gi641ATePIhwgMcVxBaNjbaWel4pveeM0P/6fENC/+uDo9616KH/Tdsk5ow+o+TsWhY9fBQNH/kFNwYOL00DfI0cK7DfxqU9kkzbcojRp0fuUYuz+h9Roxev3OSoRwhoMsaPNYyTJEhWnZy6mf8pIqzyx3cjDLz5YxxEKwQCAgEPREDpjQiuyaghEaoo5Bw5QaVKl+HfbHGOogy8RuE9ChHJ2Bz7sC5cuk6FixShZ8++4SReaqI00MILt07Nauz5BoqBC5dv0Pvvv8+PWfKaQ9b7C5evcxlTDmDHWu3+T3Xq3JUWxhmM6O3atFSlHYGHLvCXEk6NiB7KoeumcwOGX++qFeif//ynGXDwyoZ3Nmg8Spf4zP2BdbKHrlrLwAN45NgpvijBOFWtVM7jOavtHar1GzYRsptjbSrxuSE5m6mAJgghthAYaxvVr2MxakF6dtOW7VS/QUP+Z9Ka1YTkoUK0I+CqOSP0v/YxsFRS6H/nMXRFDc7qf0ttEnPGudFydi0Drc2hw0dlh4jWLQKZAshUIgcNpbHjDXrG0v7PuZ6439PO6n+lnrcWNXfj9gM2At+/d5edJoS8WQSEgffN4i/eLhAQCHg4Apev3mIPUHgS+jduYIbGlGkzmWcR8vLlS6pRraKRt6HpAzBqXb91X+bqbdrEVxDfO/CNJSWnUkBAIIFXCt6fyoRFqA6h/GuSkuUNqRLnRXHLqGPnLvxWcPw29Kmt2gIk+cJYQRJXxdP0aZMdaKlnPaLkE1UzKuGgcTArVw7lO37sKCG5GgR4X752mw3wkLB+fenQQQNHr6mkpG4h38Z+PP5lShb1LJAd7K3eaxmasf9gDlWoWJFbNGvGNEqIX+5g6zz3sW7de9K8WAMtQ6cObThBmlI++eRTyj5yQvbGnTwphtatTbQKWI2atShj5x4u87e//Y2jHDyde9eRL0zvOSP0vyOjYP6M0P/64Kh3Lc7of0ttEXNGn1FyZi07cfo8FS36OTdk29bNNGqEIZm0qQT3CSE4VkBaNW+iagTWpzfuU4sz+h/nnLXrUhgM7IVr16xKL3/4QRWcK9fvsFPL7Vu3qHlTP/cBsID2RBh4C+jAiWYLBAQC7oEADt5QwBDTpDbjYiZSROQQ/g2H5zatmtG1a1etdjxu8XLq0Kkzl9Hi7eseKOrfC6VHG7x4m/g1pH/84x/8InjD4QAo8YMqPXQRzoRkeDAiYsxwkw2OVzUJ7T+ApkydwT8JGg3tYwj6BImCZGLMWEpen8QPYzx27t5PCLmEwEMXFyKScX7WnPnUq3cf/g2JOrp37Wjxpddu3uNMwd999y17ZguxjYDeaxkS76xes45fbJokz1JrwNv744+v6HDWIfa+F2KYFw8efc3/hRd0u6AWdPPmDYYGdCSHc4/LWbFt8VpLeJ48c4E++8xw8aGFp7q8lxd17NSFjuTm0OlTJ61eUnrSmOk9Z4T+1+frEfpfHxxdUYuj+t9SW8Sc0WeUHF3LEAUCL1EIKNHA4aqkzFK2TulNimgUcaloe+yc0f+5x05RyZKl+CXTpk6iNasTVF+I5N6gq4PsztxJgyMFjZbtkXFtCWHgdS2+onaBgEBAIGAVARiR9h/KkQ/Lv/zyC926dZPKlSsve1ShAi3ea+DqxeZXCmeuXsVLNkqKYbAfgVWJSdS8hSGJFzacd+/coUIfFOKkeJLk5mZT39495H8rPa6zDh2g/qEGg6Ka7DuYzckjIKbcmOC2RGI9HDT/9Kd36NWrl8zTPGf2DIs36Pb3sGA+AQNuWkYme6lD4Nn++PEjqly5iuydC0MWEj5J3orY5N65/1hOIFXLuwq9ePFcFQCMCcYGosZF2rRZCxozdjx9+pfP2Kvh66+/otWrVtKOdMMhxVNFz7UMGMLbulChQgwnxtJWdmZfXz9K2bhFhv/F8+eUtDaRExuCasOTJaRfGF8mQTdA8M3+/I9/UJmy5eS/gWYmoHED9si1JkovKkuRJ6bPKw+KWEsxljOnT5ENzZ46NnrOGUf1P/iZm7VoSSWKl6CnXz2ltatXEfSap8ub1P+ejr21/jui/y3VJ+aMfl+ao2uZxHeNlijptExbhj3c7XuPeN9nmlcBZUHnNGduLJUtW45+99Zb9Pz77yh9exrrf0sGY/16n79rckT/I4/Irt2GCDfspWp6V7bYyTHjYmjQ4Cj+XctZNX+j5R6tEwZe9xhH0QuBgECgACOAjUvGrr1Uvbo51ysMVQP69dV04NqzP4uNXBBr2dILMFR53vSYCZMpPGKQ6nuXLF5IC+YbwsUkufvgCW9AsaGsUb2SRWMsDimZew/yY6ZeokOjhlP0iFGysVJZP+r9YmQ0pW37zZCV56DkgxcinA/fu8RzrGwSvD3btG5u5MEJPIePMCSGQAbgQREDLPZCaXg39aw23SibvrdTx7YWEyDmA9hc3gS91rJRo8cS5gFEq1epkqtc2VEkZBkYFkpHj+a6vP/5+QW4mIhftUZ1XYHBFVQmtg7CiEyAd/sf//hH7mrzQD+6ffuW1W77BwRS0voNsiFZWTg7O4v1mycb4PWaM/bq//cLFaLMPQeMErJKYwPDfVCrZh5/Qfwm9L80BjCw9OsfTpUrV6aPP/mUfv3lF7pz5zZt3bKRdmT8ltE+P685rmqbvfrfUjvEnNF3hOxdy8C9m5V9THUfbNoypRHR1EtUolRR6w0uLDt1CKI7t2/r29kCVpu9+h/RcNKZFIltkeBWTbAnQNSidO6BBzY8sZUCD98RI0dTde8ahEsVyKNHDyk76xAtX7bYo/W/qz4jYeB1FbKiXoGAQEAgYCcCCP0fEhVNxUuUoL//7W906tRJWrp4kaZQYxyi1yWn8huRJR0eoY4KFHXfkP7UslVrilsYS0eO5DhalVs8V7JUaYqZMIkqVqrMYc4XL5xnz0B4dyqlSpWqtHvfIf4TuF3B8WpJlF4LMNhu3bKJi7Zr34GWLIuXH/vqq6fs7ebtXYOzB0u0EIvjFtDC2Hluga+jnYA3IpKjdOnSnYoUKULfPPuGcnMOcxZfU0MVsi/DWxEhfdiA/vjjj6qvVXKLms4j5W+oB4dsJJRoFdSGKlSoyGMDQ1X/kGBNFzKO9rsgPOfMWgZPIGRt/t3vfsfj5VOnhqY1ELhgDHBo7NGjN7Xv0In5zSWZOX0qrUpYURDgc1kbge3osTHUoEFDevfd9+ju3TuUvn2b5gsjZRju4ayD1C8kWHNbMRb16zegsAERfNCT1jJ4B9WvV9OM51xzxW5S0Jk5Y6/+r1SpMkdBSIZ6zLMnTx7Tp5/+RU5OiciIFk396dtvn7kJwo51Iy/1v7SGLVi4RObxV2v1q1evaPLEcR5t6LVH/6thKOaMY/NBy1Na1zJEqYWE9ucqo6MGU0Z6mmr14ElGEi/8F2uVMgJr8dKV1L7Db3RbuBB+9OgR1fPx4fUMgv1gz+6dmZrLk8Ue/Q9aJxhvbXnvTpw0lcLCDQnCsw8fotC+vY0g7hvSjyZOnsb7OTVBFFzK+iSaOmWiJw+N7n0XBl7dIRUVCgQEAgKBvEcA/Ee4JYWAMsDeEEtslpGhGLywCFGXDt+ob8XyJTR39sy871QBeyP4P0ePHc+t7tOru0XDuJJbFDfdSFAEwRjc+/KpvBFCaNnsmdNlFOC1AgMywtaxYYUR/9XLlwUMpTfTXCSzQ5I1a0nv0DJlsg9sONcmrpIbHLdkBXXo2In/beq9DSMAwtmwgQZXM+hR4H0vxH4E4O0Z0KQpP7hl80YaPcrgyeuIIPwc3MtYz7TymDvyHk94BoflU2cv8jqFQxn4rU09dbTigGRJW9N2kleFCvwIqFSQAE6IYwjYo/9hJLlw+YbMu4ykOJ07tpGpOUDlgX0A5OrVK8z9L8Q2As7qf7wBl1Pbtu+SqWnwt3t377Dn7gcffEhVq1XnTPWSpG5IpvFjDZEpQuxDQMwZ+/ByRekt2zKonk993s+WLvGZxQgSZeJiODyAsglSq3Yd2p6Ryf8P/d67Z1dCYl1JkCQMVCswVOKiqm6t6q7ohtvVieiOK9cMHs/Wkt7h0vbchavymaVBvVoEpxQIMN+15wDhMlES0EBdvXKZ9xCVKlchJHiVRCvdk9uB7aIOCQOvi4AV1QoEBAICgbxCYFj0SBoxajS/DknYgloajCNaBIaU8IGRvFFSu2G1lShMyzs8pQyyzWJDCcyQAEJNcLgGtyg4diFKr8IOHTtT3JLl/HdLB2ull3DG9jSKHjbYU+B1qp+Pnn7Lm8qM9O0UHaVOuaGcRwjrq1yhjNE7ldQNDX1qs7FYKdjI7j1wmP9kapx3qvEe9LCXVwU6kGWgUgC1Ai4/nA3fb9+xEy1eYvDcNeXM9iBone7qjl17ybtGTa5HjZ7G3hdgPuJwWOSjj/hRzDdb/L/2vsMTytur/9elbCR//yYMzcOHXzLvsmnEg6TL8PdSxf8ikhlp+JCc1f8wiJy/dF027sKjOmJAP7px47rR2+ERN2nKdDagbN6USmO+GKGhdaKIEgExZ/LH93D63CX2sgUnfP26Bt1iKthXgUoD+gJ766ZNfOne3btcLHHtegL1AMRSVJuS2gERJ4g8EWIdAaUTCpIRW/J8Vu4Jzp45TV06tZMr3rg5jRo0bMT/htPDuDEjaeeODKMX165Tl9YkpRAufJFHw7dBXTE0OiEgDLw6ASmqEQgIBAQCeYEAuFsTk5Jp7OhRHA4DQ+GV63fkcGYYnqQbVEvtAbfb0KhoauTrR2+//bZcDF5ZUNIfflhY9qzauyeTIgeG5UXXCvw75sxbQPAYhFQsX0qVv1CZuOXundvUtEljud/KzVLnjm3NKCCkguC7wrhj04XNlxDrCOBg8OXjb9iL89jRI+zlYSrwjkaCQslzXS2pV+SgoTR2/AR+dM6sGbRyxVKzeiRPYaWXiRgfdQRgoDh64gxtSt1AS5cs4kK5R08SvKEhMeNG04aU9brA9/DJMx5bW+GGurzMDSoBZ3WLFq1pYHg/5pRGssfUTdu4Zwjdh4e6HqKkfLAWoqvHu9yhDmf1v5ICCBEGtbwrq9LV9A7uSzNnGyiAgnt283j+ai3fjrP6X2kQsWR4l9qBi7C16zewQcTZCzAtfSvIZcScyb+jJyXfBOUIqLNMBXu3sxeu0Ecffcw/IaJKGcp/6+5DppnBHChb6nNVD2A8e+7iVX5+2tRJtGZ1Qv4FJJ+0zKd+A9q81cDzbYl/V+mQguTgtWtUkSN6QJ02eYoh+hC/NfFraPFcCkrAw7nHOU+C6WVWPoGjQDZDGHgL5LCJRgsEBAKeikBW9lEqW86wEbp+/Rq9/vlnwi0oJD1tGw2PHmIRmukz5zAvJcLIJYGHDrxFk9aupp0Z6UyAD6MLNlY4AOIgj9tXIbYRgGEKBirIgf17KTws1Oih8TGTaGCkweMW2NatXZ35kiUB/QI8dK15APO4/5duAFzAHdq1NmsYuGK/evqUEA4lxICAlDACuCPkWJkYqnDhIoSDBigcIOBDBi+yqcAgeef+Y/acAocv5obS8w2eKPBIkeZm6xaBchXhAwdRSL/+NGzoIIuGe08bqynTZlJoP8PlEebBnj2ZFNwnhP+NSyqE+9kr8PYxPST4+vpRykZDUkLTSxV76/eE8kqqGKxFuzN3kY9PfSpcpAh3H9zi4Bi3RxCKiUP4ixfPjR7DpUqxYsX5b4g8QQSKEMsIOKP/USt4LKUQ/4kxYyl5fZLqy5QejmrRCmKMzBFwRv8rDSKoGZcoP/z1BeVkH6a4RbHCs92JDy6/zBnJA9WJrrjdo8rkt6YXusALnrtSiD882hvVr2OEAfZjcFJ59uwbqlfbPEk1CivpBubPnU3Llsa5HY6u6JASW3/f+vT69Wv5NeBYRiQIxsh0T1Dey4v2H8yRnSWw5wY9xvVrV2nO7JkenYTYFeNkqU5h4M1LtMW7BAICAYGAkwjgEBGfsEb2sJWqwy0pwpkt8X52696T4C0FwaH9wf17lJqaQhuS1xk9o8wqbGkzhBtXcPjhwA7epJTkdRaTIzjZ3QL3uNJggWQPSxYvoufff8eJjXwb+8n9GRY1iHakbzfqHzym4DkF6dq5PZ05fcqs/zCG4B0Q1N++bSujMvBSlLLcb0xNIRziTcNvCxyoOjS4Zasgil+1hmvCHAGFwuaNqdSufUcaPHSYbPT47rtvqU7NavIb8a0nJCZR9WrefFCQNrQooAz3x6XJ0RNn5fBapYcvaDlglEddEHjJwyve1NilQzcLVBXwQl8Yt5Sat2hlhCs60a5NS7p86aJd/cFFV1r6LjaO5OZk04aUdcxZiYsViX4GXOLgFBdiHQGEvc5fEGfEBYonbt28SS2a+dsN36HDRzjJ4c2bN2h72lbm4Rs7boJ8OYlLREQ9CLGOgKP6H7UitH/ajNn8Auj/AL+GFl8GqhkYVqA7Shb7jScRDwj9b3mMHNH/0A+IypHWKOzPlHoG/4Yu18q1C297OAE8++YbOnPmFL384QePnlb5Yc6A0xrc1vBUvX3rJi1cME91f+dpA4XQfJwlpG8fTioJ8cupdJky9MWY8VSypEEn4KwBb3VQOShFivjB7+XLFFf1Zh80OIpA0wBBYmJQOSgF+5DWQW2pSJGP6Natm3Tq5HEjY6anjYnUX+j/rt168D+ff/89XzRhXxU5eCj17BUsG3B3Z+6kwZHhMkzZucc5ITSinVM5AAAgAElEQVTEdC3D33BuCe7VTVxaufjDEgZeFwMsqhcICAQEAq5AoEXL1jR3/kJ6//33uXrQK8yeNV01/AhGPxiYsJGBwh05PIoP2aYCPl4kOIJYC2U2zVqL8jigr0lMoAXz57qiuwWmThx+9x04LG9wTBuOAzMOaps2GnBWCjxvM3bu4T/BSOXn62OWRE1J8YCw9th5c4zqgJd2n76/eQ5jXKZOnsDJqjxdEFK2aPEyM2OihMv9e3fZYC7xgCKBxKGsIzJHKMbum2++5sPIxx8bOJYPHthH7777HmHsJAMukuK0ahEoX5xg/mFclJti1AX6gckTx3u8AR6JhVbGJ8qRCcAVB70xo0fYlahOmZxN7Vu3xGsNw71pskIcUGAE83QZ+cUYAjWJdACHsWhQ5AACBYlWgfcuPNuVRivlszicI9pBcCNqRZTIHv0v1Xrh0nXZCxtRDJgPaoJ17+LlG3yAh2c9knkqReh/y+PkiP5XRjKcO3uGQM+ENTF6+CgeZ0SMQJAMr3nT3y6JTVsxYGAkwfNaikSRfkekV1hoH/Zy9GR5U3MGBnxcuivp0DAOMJqNGjHM7oTI7jaG+NZ3Zu6X81KY9u/vf/87de3UTjV8XxkVJ80d0+fPX7wm7+FwqaXU60gsvWDREiPdhL3Z0aO5FDU4QpW+xt3wt9YfpZFXrZxpHhBl0jvso6tWKseOEQPCIyi4T6i8NiG/QgOfWkYRjJ6Ea170VRh48wJl8Q6BgEBAIOAiBEaPHU8DIwbLhwB4IEaE9yeE70vyhz/8gVJSt8jeUtJhIWJgf3r45QO53OWrtwiHO0ifXt3pyJEc1VbjNhwccJ9++hmVKVvWKDkbjGSdO7XzaK8RGDIWLlpKbdq1N8IGRvM+vbtb5ZlSHp7habp40QL2NoURxJRvuUb1SkYbJFANgGtM4pFVDh7C2wZHDLB4qHfR55nvqoWXJxLZgXNXEmzo4U1tSm8iJQBBOcwr8Ihh04pD/Omzl+iDDz806h/qQQZnjDEuUkwFhq7lK1dxQkNJcHiZNGGc6oVLvgPPxQ1qHdSGZs9dwAk3IIhKmDFtMkcIaBUYJIdGDecDGy43vv7qKb148YI2piZT5q6dZtVIh++f//EP2rRpA507e5aTTtZv0JApcEAboDaWWtvjDuXgnY45gwSSksALJzSkt+Z1HpEHm7Zul+cdjFX/+b//0I3r12j61El2H6RBh+LpBiuMhRb9j3LKy1tLFx3S2CoTF6ldIgr9b31W26v/kXS1UKFCXKmpAQr7sZ2Z+6h48RL8+6r4FTRzxlSzBoAvE7yZkph6zmEvAb1kKVmSO6xTWvuQ13MGaxWoiDCWFStVpooVKxnt0SyNqdb+uEM57KXWrE3mJJ7SRSC+YXjUwrhrLfnmyTMX6LPPijIMoCWbNmWirOuNuON/+IGqV60gwwXarJiJk432YthjS++HERJzBoZjTxZ4n48cNcbo4gh7symTYswcVdZv2ESgb4CYeksD12UrEiiojSERm60LK2uYC/1v+4sUBl7bGIkSAgGBgEAgXyMAg8jiZSvlzNjw0E3bZuCcVAqMW1CwMDRBsIFCEjWUh5F4+Mgv+O+XL1+idkGGzLS2BEobYTwIt5UMXo7yZ9p6V0H7HZ432LB+VrQohzaZegla6s+sOfOpV+8+8s8w7oLDCsYoKdmEWrKwbdt3Up269fi5pLWJnJUW46L0HDl6JJeGDonQ3JaChrnW9mIO1K5Th549e0bnzxkoL5SCb/nSlZv8J3gt+tStYRS2BwMxeHvh2YjxQfZg5aWKtXbUredDS5fHy17AKIukOjDAe3qSCawnSGQXNiCCL62yDh2g/qG/zQUt44t1DnMBdUUNiTDL3Kyso7p3DaZ1kDxUlb+JdcwYbVzqrUxIpFKly7DXuU+dGrwu2SMSzzieq1uruj2PslfjkKHDqUlgUz5sYs4MGhjGtA+eLFr0f+zCxdSla3eGqVOHNqprHn5TelvDKFihXEmrSbyE/rf85WnR/zD64WJd0gF+jXzMKsQFPYzA0OMwdFWuUMaoDC61ooaN4L9hXsKwAsM8jCBhAwZS/wEDeS3Eb+CNB3+8p8ubnDO4IEZUxNBhw2XHjAnjx9h1kemu44d1vXadeowLkkhrSSCIZzZtTef8FZLAOPvts2/ok0//wknYIErOccyHuw+e8J4aMmxoJO3ISOd/d+7SjSZPncHzDWekxo18BG8sEYFbt3LlqnT+/DmLeMBTHRfCGDfoDjXKwH0Hs/mSA4LoEGUeEmvftdD/9s16YeC1Dy9RWiAgEBAI5FsEwJkX0i9MNUGUstFI6AHDnxRSDiUMr09sqrChQXIjU64rW53Ghgm8fZLiXr5sMc2bM8vWY+J3Cwhgszp+wmQ22EohmlJRbJ6Q+EbpwSbxj6IMDoHgY8ZYYsM6d95C6tCps+yZgOcTV8fT7JmGLLdCzBFQ8rbhO8b3bCrK8EBHvHBw8B4zNkaeh6g/J+cwDRsS6fGHcIT1zZw1l8aOHmnkvYN5gWgEJCj89ddfLX66SADi799ENcTc9CEcEOGhGti0udFPbYNa0JXLhqR5Qn5DoH3HTvTZX4qazYkdmfso6+ABq0ls4CEFvlEIEhkioaE1gcERHNlBQW3NPObx3KIF85kbUAgxZ64l/a9MMols85ZEycFvKdmk2rNC/zv2BeKi8MRpQ7TVrBnTmH9UTXAJJSXTxfgpDSeYT5hXELWM9/DshYcvRC35q2Mtd4+n3uScAQ0QEsBh743xLFe6mMdHizjzVbVr34EvOoCrKR0QPHtr1/jNAKycd2rJ23Dxcvb8Fd4/I8+If+PfvOOdaaO7P3vr7kM2qFuiy0D/cbmBS3zIiOihVqPXhP53/IsRBl7HsRNPCgQEAgKBAosANi7z5i8iHNaVmyGEmPfq0cWhfsFQAq5fiMhWrw3Cxo396a3f/95qVnrcXB/MOiKH9al5aCvpBNQSuGFDG796rezlYI1jWVvL3bsUwvxHjR7LnQzr11d1fDCHsKGFAd70AKEVHVyyzIuNo/YdOsqPgFcZHlhCzBE4euIMhyurebArSy9dnkBt27XnA3OJzw18ybZk2YpV1KatIXzQmXXQ1nvc8XeEZSI8E16CgQG+FvmLMVfuP/yKdQ54lk1pUYANPIDCwiPYk0oKvZUwg1FfupiEZ70y5NYdcdWrTxL/rjWvdOANPkoIDE41q1ein376SXMThP7XDJVcELRKFy5f539PnhRD69YmqlaSufcgVa1qSP7p51tfptZCNMjWtB38d2vUGzlHTrDnPbx3wYspxDYCeTFnJD2F1jSqX4dgbBRiHQFEG+7amWGVogf5DmbPNVz8waHB37e+Ebbw4L5y/Q7rIUtnlXExEykicohdewhPHzvpsunE8WPUs3tnVThGjBrNXOEQNQogof/1+YqEgVcfHEUtAgGBgECgQCKg5OaTOnDp0kUOF7fXixcH7zv3H/OmSS05S4EEyMWNRuglNptjvhih6s2GG+wDWblyMj1QakQODDNqFby2pk6byX8D7ygO5q9fv1ZtOQwx8xfG0ajhwyxyLLu4ywWieniKIpwckpG+naKjBqm2G8YqhPcD94rlDRmf7RF4qiasWkv1fOrzY0iuhzBaIeYIwNPpxu0HcsjluqQ1nKTOVLD+IFQQBietBl4lfzUOhLVqVNHMLyvGikh5aINREN7PSn53CSMl76HSwAvDb3DfUOrVK5jKlC1ndOmIZETI1L1i+VLauz9LTpjTLyRYJGbT+PFJHryW1imE8x85flo2nqt5gtp6ldD/thAy/11pFN+2dTMn3TIVlLl64y5f8JqO34xZcym4Twg/YomaC79JHsDgfK/kVdr+hnrgE3kxZ+IWL+foKsiA/iGctFWIZQTgqHD81DmSEq+p0fP4+vrxZaOUi8KSl6iSKgDevbikVwq4xhHJBQkMaET37t4VQ2MDAaxTOM88ffqEowzVROmMgmhRXDoK/a//pyUMvPpjKmoUCAgEBAIFBoHs3OMc0gTB4UEK9Rs3ZhRtTE1R7QeUMTa/qSnr2Sgp8WQhdNq3sSHL8/59e2jggH5mz8+cPY82bkj2eK5RAKPMOIt/g1NyzeoEOn78GH344YfUPyycWrYKko0d2DTBy8M06ZMyrBb1/Otf/+LkbFq9QOGJ2rxFS+YJtpbMosB81Do1FJQjCOGEV2LXzu3Nkm0gJHDJsnh+G5Kw1alp8LDSKvBiiIoeIVNwYB71Dwn2+Kza1vADD9ze/YdlzC6cP0c9unUyomuQ6BlQDw6ALZsZkn5Yky3bMmQje+KqeJo+7bfkK7aeFb8bEEhav4GTeUHwLeMiSmmwMB275oF+dPv2LaZeQDiskgcZRmLQPSxZskg2FCtpU8BV3ap5E1Xoq1X3pmtXr/C8FWJAoFv3njQv1hAVYKqbcbkBPnEYEiHgvgzt29sidM7ofzEe5ghIUQmYM80C/cy83/cfzKEKFSvyg6YXvMh/gEz3kCmTJ1DSmtWqEB86fITKlffixJXlyxQXw6ABAT3njNrrkE/h2Mmzco6EalW8PD43gq1hmTxlOoFiDoJ9MPInrElcRdevXeXvG3zU2LNJkrE9jaKHDZb/jctf7LsDmgRS06bNqWy58vybqRcvKBqOnzxH77zzDr8Hc8aUEmrAwEhCJFxGepqtZnvM73PnL6TuPXpxf9UomCSvaPwuRb3prf89BmwbHRUGXvElCAQEAgIBD0VAaaCCt279ujU5dMbPP4A6tGttEZU58xZQj56GAyA2P/DUKlzkIw6tlf7WvKkf3bl926gOhD8jDBqSm5tNUYMjPJ5rFIcIeOFIyR7UQAfGMLbHjBttkaOtRs1aNG3GbKNEE7du3qRuXdrbxFiZgAcG3p070mn+vNkef9iAt0jO0ZM8NhgDJOFYl5RIly9dJIQATp85RzY0WuLpVRtPJPZalZhklGTt0sUL1C80WHPCCQ9dsrjbwC910zY+fEFgyANXLtawRr5+7EEirUMw/trKHK+8aIFhESHMppconoy3PX1X0lzgORyAL1w4R0WKfGSUIV1poN20ZTvVb9CQMT+cdZCWL1tilrAQiabgHSTNRd8GdVXDmXsH9yVcIqIuJLXckbGdFsTO9fiLK3izwXPq448NdCXwmtqTuYsTgDZr3lLWPxgv8FtbS27kjP7v2KkL/fnP79OTx49pz55Mq9RE9nx3BbmskmYBuKdv30YbUtbzhce8+QvlC3jQZuCCV5nYEEbCcxevcvdxQayWpE1ZRkRWaf9S9Jwzpm8tVqw47T+UIztU3L93l5r4NzJrHNrgHxDIe/Kvnj7lSAZ7I+u097hglIQREftmU55dZesxV5C4bsvmjfKfcYGFaDhT2h+pAMqOHjWc4AG8aPEyKlykCP+EvVn7tq2MwIFREhQeGB+cfwZFDPD4ZJ8ACFEciJ6SaJSOHMmhDcnr6fatmzRl2gxqEthMxlHyWNdT/xeMLzhvWikMvHmDs3iLQEAgIBDIVwgow5jRMGuZtU0bDkPt3PmL5M2p8nd4MkZHDaaTJ44bPYb34YAuGYHxIw4zqxJW0NzZBnoBTxUYLeB50K17LypUqJAMAzxxv3r6hIYOjqBr1wyHOFsCnr6UjVtlSge1BBLKOhCae+rsRbPNMgwkKcnrOPOwJwvw2bl7n5ExFtgoDxc7d2RQ1JAImzDBO37p8nijTS5CDRFaC686NYGHFg78ksEFXpB16tTz+IzbwHLjlu1Uvbq3Rdy1ZiZXhgxqDU2Hl+j//ec/zHspCTxMMVZKA4zNj8INC4DXPXbBYiOPXGU34bmD0EwcwqEPoBek+QTjRdSQSPbMUsqK+NXUOqgt/8nSfINnKQ6XUtZ06XnM1+1pW3meebJAz2TuOUheFSqowoBvuXOHNlaTF+JBR/S/qeFfagAoaQZFhJntFzxtnFoHteFoENOEqhIOuMTq27sHHT2aawaNMvrg8uVL1LtHF6MLjUVxy6hjZ0NeBVOPRqmy4iVKUmDTZlSvng+9996f2bMe3sJnTp/ytKEw6q9ec0aqFIYvJI0Et6tkBFPjiEV56H4YMyWqAamOixfOM7+pJRouTxgwUJdNmzGLL3SV6/3PP/9MV69cpvCwECPHBhhks3NPyPtrXHTEr1xOe3bvoq3bd8hGX8wzJd7Xr1+jNq2amUWDSEZJJdbZ2VmcINce3nJ3HCusJbt275fPIGp9lPJM6Kn/xVpmjLQw8Lrj7BJ9EggIBAQCNhBQcu+ePnWSunXpYBdm8KjCJse7Rk0+TGBDhTApS5ub8TGTaGCkIVQKYYJvv/22/D4k/gAH7b69u+1qgzsWBq4VKlaib77+2mFDEQ6J2UdOcDIqCMI2Eb6pJjhklCxZiuDlU6dePYKHldLD4fatW9SyeYBHhztjw//FmHHUOzjE6IICBqrNm1I1GcH7hvSjCZOmyp5ykkfwqBFRFr3lpBBRvAdZiV++/IGat2jFhjNrWYrdcV5Y6hO4kr8YO57q1vXhAzMOywjPh3EXXqK2RMlfbcmLSq2OS1duMrUAaFPOnTlDlatU4RBRHBAR/QAvb08WGEYGhEdScN8QvhyBARfr/Pp1ayhuYazReoIkkivjE+VwWeAGr+tBkQPYo71kqdKEJFGoA2GyVSqWVTVCYt1r7BdARYsW5bFo1rwFr2uSPHv2DYEWAu3wZBkyNJpC+4XRh4ULMwwwuMMAbs9Fqz36H9EKWLcgmJ/wiCv6+eeEyzMI1kLQCS2YP9eTh4UwD+bOW0iIxpEuPCSv9lEjoy1ygmMswJ8seWdjDYIhOG3rZnr86BFl7NrLhmPU5VOnhlFyKjy7KnGdTK1lOgBIZAgPeFz2erI4M2fgrdujV29q1qwFJ7pTGhCxF+4fGsxJPZUC2g0YeCUxvVSGp33zpv704sVzTx4W7jv0cKlSpenO7VsWIzWUUWrQA038GjIlHQQRP6fOXpIdVnDphLNMVtZB1aSHmJ8ZOw0X8nDCwNyS5iv+Hb9yGcGA6cmCdQXJg1u0bGUUnfjg/j2aNHG80feul/4Xa5nxFycMvJ48A0XfBQICAY9GAKHOOFD06tHFbKOIDUvf0P4WszoDOJQ5e+EKH6Jzcg5TSHBPVTyRSArhTNgI4fCBQ0bFSpVp4aIlBK4rSWBMxKEemwAhlhGAARbYI8zWkihDyCT6Da2YgpN5y9Z0OZmRFLqm9Xl3LgfPUXy7P/30oxkFiVq/sXldk5QiG9tRBuPRr29v9pKyJk2btaC4JctlKgJl2alTJtLaRAPdiRDHEIAREh6f0mWT1kQqOKAnb9hMjXwbm70YxsNqlcsLigcHhgSeobPmxMqXKNAVyeuTqH79BmywhcyYPoVWJ6zUXDs83hPXJhOMLBDoGNAHCTEgAD2iRkeil/5XJl6DcTfAryE9fvSQ3419Qdr2nbJhXyTN++2rxPf6u7feoi8f3Ne0lmC8Fi1eTqDdMvX4lGo9eiSXgnt1k1/SomVrDkVXekBi/frll9f0wQcfGnngY960ad2Mve49XSzNGeACz1LkofDxaUDVvb2p6OfFVOm3gOOe3Zk0MWaMmVHSlGd20YL5bDR89933+JK4Q8dOPAQSh6mnj4eW/l++eovPGljrQMFk6oiiNNra4u0/eeaC7ASBBG7nz5/jRLkSTzba8+rVK+agFUnzDAb4Tz7+hO7fv2d1/XBG/4u1zHwWCAOvlpVBlBEICAQEAh6GwJSpMyi0/wCydeiSPA1wc12mZFFVlJTJ1zZt3EBjR4+Uy0UPH0VDoqLlwwQ2YOvXraXJE8d7GOLau4vsv4ULFyZk/rUmML7Dq8fa2Fh6HsZ4hE7DoIkxwdha42XU3nrPKAn8YhcuofYdOsreHcBvYew8Wr5ssWYQcJicPHUGwQNYOriDAqBureqa6xAF1RFYsGgJde5iMHgcOrifwvr1tQsq0KEsj18tGw/xMMLNcXAX4hgC+N7HjZ9I/QcMNAtXd8agAQ9geM9BbOk0x1ruXk/ppf8Rrnv0+GkGx5JxHRyyuCSGUQSXI0JsI4DLKTVjKwzqCP+vWbs21apVR/ZKROh63VrVZMMWeMfT0nfJugnRDiOGDTG6dOzTN5TGxUxiAzD2AI0b+cjGedst9LwSx0+do88/L6baceCH9Qve61s2b+JEhmoC6p+dmfvki5fBkQPM9AlyNgT3CeHHfRvWE2Oi4VO7cfsBX5TDe7debXVap6zso/JlEyiE1BwogDvwh5hyXuNCHuchJc0aKB5atwjU0EJRBAg4ov/FWqb+7QgDr5hTAgGBgEBAIGCEAAxJ9758ygdshJD51K1hMfnT3gOH5ay1xYv+Fg4rVQgjSObeg/xPHDIQXmtqKETyA3iSYIMEgQEMSauEmCOAhBvrklP5B0t8evgNB8C7D57whgneCsDdXlEeJFo2CxBJJDQCCKMuPBFhHJfkwvlz1L9fH4thttaqNuWv7tyxLVM0CNGOAJJ71Klbl+bMmsHGCiTQw4Ec2OICxLtqBYcScSGjNzyuIPfu3qHAAF/tjRIlLSIA785lyxOMvKRhIAEPKTys7BWM/9p1KfxYeto2Gh49xN4qPKa8nvofe4g79x/zXsKScSVy0FAaO95AIVS6xGfiItHGlwb9MmPWPE6oZilEH0kLN25Okw2FXTq1k3UG9NK5i9dk/QT6BVDaqAn2Zodzj3MSSyRFEqKOgFIPoASoLWAABFXPoUMHmHLGVuJOzJELl2/I3KUST6npGwsXLkIXLhvoh9YlrRHOEBo+Ssn4bu0SCRz6Y8bFcG3YJ6xcsdSoZlOO91bNm6jSQCGfBtY0UGkJA6+GwVEpolX/i7XMMr7CwOvYtyeeEggIBAQCbo3A4qUr2fsQAiMvOHpNeSVr16lL27bvtGpEPHbyrOzhhhvx7l06Mm+lmiCcffSY8eIgYeXLgkcUPA1gwIUg6zw80kwlce162WC+IyOdhg2NtPt7TU7dTI0b+/Nzal5vMARg0yvCNg3QwmgIOgZlEiMkURs+bIhToXrjYiayVxZEcO/a/RnzA/BGB9ceQpDHjRlJ4RGD5QRtCIGNWxRrd8WYg9dv3WfuXxzemzbxpXt379pdj3hAHQEctnHoNhUkfgR1gz2iNCI6uh7a876CXlYv/Q8c1qVsJH//JgyJ2uWU0pNeXCTa/nKw5sDwCr07c8ZUIxot6GR4wIeFR8gRH+A3VnKC7t53iMBdDsFle+aunXTjxjVan7RGVZdL7wL/tRB1BJAgD/QYksDAOzx6KOVkZ2mGTJkMD3vkhj61VZ/FeOAbgCSuiqfp0yZrfoenFlQ6K0SE91fN96GMNJw1YxolxC83gkvJi4y5EBbaRzXpIR5C8jCUnzFtisXzjqeOhdZ+a9H/Yi2zjKYw8Gr90kQ5gYBAQCDgYQhs2LhV9qCCAQMeo0i4AUOtadIoU+oFQAUDyI7MfVSxYiWjpCEbUtZb9BjxMIgd6i64k7dnZMohzOB0nT1zGh/UwDMWuyCOAps257odNTwhCd+apGQ+JIILE55V+K9S5sUuovYdOvHhcVXCCof64k4PgcctYfVaDjeW5svIEVFOJagz5a8GNQM8GYXYhwAOzx06dZbXIeVBvHrVCvZV9t/ScYuXc52QA/v3UnhYqEP1iIfMEYAx/uKVmzJvO9YYZJ9HIhVrc6BDx840Z94C2rUzg5NLwtsXF5FICAqPKoglD3gYTv7n//0/evXypRgSInJG/yNUHUlVsSaCTxbYQpCQtXaNKvT69Wv+N8Zma9oO1jNqVELgZRw8JJquXLlEe3dn0pEjOR4/NvDMbdCwkYwDjE3gNf73v/9DpUqX5gsnSfeb7rV6B/elmbPnqWII/Q6qmiGDBmq+tAW/5uuff5bH05MHB17Ti5euMErsCA/OiAH9bBr5MGY373wpJ8Nr4t/IYi4KUKeBQgWiRgmEtQ4cypgzKeuT6Nq1q548LNx3rC+45MU6hEuNwZHhtH+fIVGatA5Jzir4N2gcEHGgFOj7oLbtjLipL144T316d7cr+kfMGdufoxb9r/daZrtVBauEMPAWrPESrRUICAQEAnmKwIhRoylq2Agzw4iyEU+ePCbfBnUthqDB6Dhj5hxq1bqN7FUCIzG8dUyTHZh2rmEjXxo5agyV96rABmOEJKamJDONg6nBMU+BecMvw6E5LWOXnDlbOtBJ2Xyl5o0bM4o2phpCk7UKPFHgwSXVlZubzaHRSkEG9FNnL8plYHSMGhLJoYieLrj8OHP6lM0kalpwUnqVWAul1VKXp5eBh3X86rWy9xrwwAG8a6d2ckZtrRjBgIXoBMwReNJVr+Jldx1a3+WJ5ZRen6kbkmn82C9Yd9SsVdsqPcmV63fkEGfgBqOhZNiVxtuUExHr3ey5C+SQdRgAbt26SVMnT/B4KhRH9D8uIGEskaJMgDvomaRkXqAyiRk/hvmvO3bqIl9Umq5vmFtIgigZh1EPPPBTN6yn+XNne7T+B3YxEyZzAiM1efH8OYX06Wlm3Lt87bbMEQovxdevf6aAwKYcqSNxvAPjoJZNCfs6SwKPyO49eslzC0bmI7nZNGXSBE4i6skyMGIwjRo9Vv7+cdmLqIExXwwnS17QU6bNpNB+YQxb1qED1D+0j0UIkYMBThMQ72oVjejTcCGybIVx8lWMx4L5c2l72lZPHhamktuStkNeT3D2OHf2NCevw0WTtN+1FuGBOTJ85BcUNiBCXs+wtiF54flzZ63iK+aM9s9Pi/7Xay0zbRXOq7jktUWpor03b6akMPC+GdzFWwUCAgGBQIFBAF44s+fEGoWeS42HgaR7lw6abrBhlNy6fQfBOAi5dfMmtWhmoABQEyRgix4xStW4jE1ri6b+Ng3EBQZkBxqKDen0mXP4kKzke0VV//jHP2jOrOl2hTKDAzkqegSBN1mSly9fUp2aVc08enbs2kveNWqatRoeDZEDw4rv9sUAACAASURBVAiJwIQ4hwDCaBGCJo1n5QplNBk1QOGBEM8Z06eyFxA8fsaOm0CrV600CtV1rnUF92k/vwDm/JaMIzDQLolbSAhl1ip79mdR5cpVuLglrkTTunD4njRlOi1dvIg2b0plb1RwmMMDLjIiTNA7/BcwGC9gxIBY4m23NE44qK9OXMeRDBDQC/3P//wP/e2nn5ivcnHcAqNHBwyMpAkTp1gc9m1bN9OoEcO0fhZuWc4e/Q/dsXP3ftlYeOzoEUKmeVwArl6zjpo1b6mK0YrlS2ju7JlGv8HoODd2IRtgoN+Ul5c//PWv1LVLe4+fM1jLEEVToWIl+s///YduXL9Gx48fpR3p281wRtn1Gzbx33HBjkRSksCDNHFtMvk29uM/YX9Vv665fsdvSuOL6Utw6T7mixG0dYvhPZ4qWNvnxcYR1nzpu4Vxd+6cmbRmdYIZLMiXgDEAfjWqV7LI1a/MafHdd99SnZq/7dVQKYyIdevWI/D0Yg1UzpmcnMPUr29vTXsIdx03rCOpm9PI27uGahcz0rdTdNQgm93HWCWtT5U96aGnsE9GhIKaiDljE1K5gBb9r9dahpdirsYtWU516tST5wyMu8+ff89Rq7Hz52iOaNDeS9eXFAZe12Ms3iAQEAgIBNwCARhE4GVQrFgJ+uGvL2jDhmSLYWSWOowN55nzl2XP09GjhtOWzRvNii9fuYqC2rST/w6vn4sXLxA8ej/7rCj/HZ4mgf6NRMg6EYFSoUXLVryhv3rlMiE009YNtJdXBWoV1IbpHMqVK2/k6QZ8kfW8W9cOZiHLGIPUTdvkMchITyNk3JY8gHBIwZgicYtpQj23mAh51Aklf/UXI6M1HZrr1vPhkGdJ8A1IhzwY/SuWL5VHrc//rxkaNZwvNCRPQ638n8pEhzA0wYtKi2TnHqfSZQzJDpXjgn/DI3HZ0jgt1bh9Gazv4LKuULEijR09kkD/Y49gHQKFDQyTuKCq5V1ZdR365JNPWRdJ44HEnvAOhcGsZ68+8oUmEiR2bB9kTxPcsqwW/Q8DIg7fkIMH9pnx6ecePUklS5Xm30GfsSk1hTIzd9pMPgmDyoDwSOoTEirvHaBbkNTw4ZcP3BJvvTulNLDHjBvNewRTUUaMwDBv6vWp9BDF5cmgiAFsVO4b2o969OgtX6w4ymuud5/fdH3ImZCwai2vZZIcP3aUevXoIv9beZELioywfn0tNvvAoVx5XbK1JwC9U3T0SOrWo5fsbSqSfhmgxRo0bNgIKlu+PP3pj3+kp0+fUtLaRMo+bLhQ1yorExI5MhGSnZ1FoX16mT0q5oxWNA3ltOh/PdYyvKtFy9Z82S9Fl6i1FFFA2J+ZcjLb16u8Ly0MvHmPuXijQEAgIBBwWwQQngaDnzWeUOUNrVo4WqfOXWlhnCGDLQwhCFdDMjFJEJoYHmG4ZYchEUZiIdYRwEEjKKgt1apdm8qV9yIYN5AgzVSA953bt/nWGocNNTl/8RoV+egj/klKWIHD/4qVq8mnfgP5EXg1TJ86yW6KCDGWRN269yRwHEMQKtuofh3NsMDzDfOncJEiRs/YOhBqfoEbFYRHDzb4b/3+9xQS3FNTzy5duSl7/4K6BBQmWgRGqvkLFlPbdu3NvBG1Gom1vMddysDwocYfCS9Q7xo1zDw+lf2GkffW3Yf09ttvW8w0r8yarmZYUeoZSxeR7oK1Xv0AjyjmFIyvZUoWNbtkhJ64ePkGf//2XI4o2zd5ynTqFxbOf8I+o3YNQ8IwIdYRgGd19ere7I1WttTnqoVxAYWLKAi816KHDTYqp0y8Gh1l2OtJgjm3d/9hNmbikhc6C57CQogT3iLpVqFChWjIoHDOlyDJ4CHDaPTY8fzPPr26W+SZxroHwxYE9AJVKhouC20JEn7tP5QjO0aYjput5z31dzgy/P73bxudPUyxwDp25/5j9r4GLUpN78pmcIk549gXZEn/ozY91jLsr7HPlgQe8cnrkuj+/XtUtmw56tKtOxUvXkL+HREmiDQpKCIMvAVlpEQ7BQICAYFAPkcAN68nTp9njxr/xr8Z+kybDY+5e18aNv4PH35Jfo185CIILTt97pLsTTpsaCTzl5lKzpETVKp0GYubqnwOVZ42D3iDyxDGDlPBQQzJJC5fusiJonDwsMZtrMxGDw/f5k0NIZ2S1Kpdh5YsWykfJvD3AL+Gdnt65ylA+exlOCgjS7ZEuwE+REcSpSgPFvYaifMZJPmmOcOiRxJ4SSEYE4yNvYLLliPHTslGXnuMxPa+yx3Lg2cXSVjgVQtKGEsiecCb6hipvHItA3XDwljz5FPQRaAUEvNH25ckcSCbUgAon1Z6iXbq0MYmd6Xam5UUKaAS8HTeVy2jk75jN3NYv3r1iqpVLq/6COYVklFBbty4Tq2aNzEqJ9WBPzb0qW2WPAzPgxsTOkxcvptD3DqoDe3ZnWn0w9p1KdQksBlfhpT4/BPVccEeDrhKe4KZ06faldgW9GhYDyHgisW8E2IdgctXb9Gf3nmHatesajXxpuTwgH1zyWKfmlUq5oz+X5qza1n7jp1o8RJDYmjMO1zgqtHK4FIF0aTg8ceFFajPCooIA29BGSnRToGAQEAgkM8RUCPGV2syvG/ghQPZuSODooZEyMXAH1q2nOHwYSnkCb+tSUpmagFrm+J8DleeNW/BoiWc0EaSSxcvUNahg5wUxR7DIbiqcPiTQtqtGW6RaGz8hMl0/dpVcZiwMdKbt6bTDz/8lUYOj+Js5MhyjgzBEGSNh1ePvaKXkdje97pTefAdJiYl09jRozh0E4drGLCw2ce6AwOHIx5qoIZAEh6Io0Zid8LZnr74+vpRysYt/Aj4DpsH+qka97BGwbMK88CSlyfG88btB2xot2QETkvfxQl4EI1QoVxJe5rqkWWli1eE73uVLaFKEwRufSQqgjhKTaLUaY7QeHji4GzZlkH1fOpzoq9ypYupQjBmXAzBsx2iltQTIc0Jq9fy76BOAfamgjn1zjvvEPYZ7du28kSo7erznHkLqEfP3vwMKJRApWQqqxKTqHkLA5Z379ympk0a2/UOFH7w6GuO2oKRCrpLiGUEMB4YF8iXD+4z3mp0Y0qaHzhK1KvtbVapmDP6f2nOrGVItnvk+Gk5gtGSE5HUauwDW7RqTaBwKkgiDLwFabREWwUCAgGBQD5GoGy5crTvQLbsfXvyxHHmGlN6hMLLN/fYKVXeSyVxPg6IyEwPg5eaSHyWOOQj+ZQQywj0HzCQk2xJhlkYp5A8aNyYUXZx5JqGNCFMcMqkGIvZmfE+GMOkAwu+j+0Zuyl23my7kr+589jC4xl8oRCEzq5ds4rCBw5iwxQOFDWqVWSuaXsFyVaC+4TwY1qNxOAs/erpU8Fp/V+wlZdN4C5EMjQY+yDpadtoePQQe4dFNyOx3S92oweUvIeYM32DexB0jVK2bd9JderW4z+pJc6BURdzb/HSFXK0gWnoNOgEzp6/wmuY0DPaPiClYSRh5XKaNXOa2YNILIiM9pCJMWOt6gKESRcuXNgoiufdd9+lU2cvEf4LqVurukjqqWF4oFdiJk7mkrNmTDPjlPzoo485AkvaJ5h6RuOCt36DRgRjIwyF4KaEoVCZUFW5hzt96iR169LBqGWYd7ZyA2joilsVAR8suKkhiKIKDws16t/4mEk0MNJAlYH1rm7t6kxvYo+079CRFi9dyY+oXSqKcTFGE3Pg6IkzckLo599/T0Gtmhl968Ds+KlzBIMhJH7lMpo90+C4Iomzc0bsmdW/cmfWMikqR1kzLr3OnjlNc2fPsMvpxZ45mNdlhYE3rxEX7xMICAQEAm6MAAwgGzenyYcEHIy3bEqlI7k51KBRIwrtN4D5qiCmIf6Hc45RmbLl+DdrnIcwfsEbAf9F8jUkWlETeGghuzSSgFgyFLvxUBh1DViAlxVeIFLSLRjRZ06fotnYikNd39D+FBE5mHAYlATGlZA+PdkzyJooE4QgpHbIoIFWQ6w9ZWzg0TYkKtosyZ3agUELJhgbJI+SjMTghXv18qXVR1EWNB5INrExNYUNL9aoOrS0o6CXwcE7PmGNnNRG6g/mDfgPcdi2V5SeWGocl6b1Ya28cPkGG/vhSQSvOiXvpb3vd5fyScmpFBAQyN2BwQhGi62bN/IahPVJmcwOdEFSIi6sg+k79lB5Ly8jHmTUA4NVQOMGTMeAUPMjx07LSaP27N7FCaXUBMkqX//yCz1+9NBd4HWqH5IXLyoBvRJ42F+8eM51Ro8YRcNHGLx3sb7Ay9ea3pAoH1AGye4ePLhPbdt14PGBQI/AEClEGwKIwJGwW5e0huIWxXKCO3iprU/ZJHOLIwEekk5C8H0jyqTQBx+YvQRei8AfY4kLE1ysSMlWTS9MJGoaeMM/ffKE1q9bI/j5/4uoMqEqPJ+XLF5Ez7//jkaPjSHfxr/RYA2LGkQ70rdrG+z/lmrZKohwKSbt+xAplLbNEAUhyaYt29m7G/MUhi4YKh2JTrGrYfm8MOZJVs4xea8L/QCu9q1bNlOxYsUoatgIOc8Bvul6tavLl/F6zRmxZ7b8kTiylsHpAc4PEOiUv/30E6950pqFv+/ft4ciB4Zp3v/mV/0vDLz5fIERzRMICAQEAgUNAfDopqXvlLNlq7UfHgj16njLhzt49MCzB4Lb8lo1qljsNhJSIDEFRI3nDTxnM2fNMzqQYLM6acJ4qwkTChrOjrQXHgEr4xNlGgzU4YixFRjHLlwiZ59FGHSdmtWseuf07BVMEydPM8pYC+Pw4EHhdnukONL3/7+984CO4si+/tv1eh2xkf/GNiYnkUEimJyjyTkHIXLOiJxzElGILBGNAZMzCJFtkxE5mmRwAmPjxQbW+51b+rrpGU1qaRRGc985e9aoq6qrflU93X371XtJuQ680ZDsC8lYNDtz5rR06djOdHxJbVs52nFVJB4zbqK0av3Kcwhe16NGDFXXl7cbtlhOmjJdUqZMqVDgRW/C+DGyeOF8U2hw7e3Zd1C9aLsqEsPrCt5XRsPcLF40X6ZNiX5R8VZr07a9DB8x2uLlzJqFUczAi9y+iEO6iAWOXx87IteuXZVOnaO9sfG3P/54avEBCx8iq39e0WK3Azy8IIjhgyY8fLV1sXPHdunTq1usxP/kMo/4KLFm3Ubx9y+gDwn3+9f//W/d6xaifFD/Pg5/X/Chak/EQf26s+aD+1aj+nW8Xogys27wYQMfOBBCQTOIU8Ys8vgoX+wzf+W1XrxESUHMZC0hKwTdI4cPKZFYu1fh3v/WW2/rc4t2l4UvVR8JjbZz936VgM1o+B0MmTNLEAPbmw3XzI5d+/QPU9YsIKAPHthfhcVw1SBa4Tm5b/8gXdy9ffs7KV0ieheKZn7+BWTTlh0xmsXvXmBAC9PPH672zxPK4V4dErpQqlW3H7MYc1O9akXBRxGYO68ZPjPbXyVmf8vQkjFBLnaXHj50UP224f7fpVsPPca1s9BZnnD/p8DrCb8w7CMJkAAJeCABCEaBbdtbCL14GELc3WFDgtQLhGYrV68VbMeEderQVnZs32pzxLgZI1M3HojxkuiXL6eFd6Ixw7atBmxtTfRAtHHuMgTaCZOm6d48aPDY0SPSpXN7l8VWeMNt2bZLfymxtb3QuqOYP8SYRfZazaMEayI8bIkSFL19+yZEQHiNap7sWjiN/n17uTTnEJwg8MIQ2gHJdJwxxQeZ46fO2RTK4M3YtVN7OXfurEvnT86F8GGpY6euutiBrMv4rXKU6MvIwxjyYeSIobJ08UKnuBATEx4iqVOnkazZsll4eV+/dlUa1K+tPPC81dKlSy+DhgxTYpO2tRwsIERhd4IxW/2W7buVpyIM28orliul34O6de8l/YMG6Rjxm/TTTz9K5P4ItZvEaPBEhCDi4+NjEzvWReWKZZ16zSf3OYO3LrbSaomhtPGCbZ9e3V3yRMc9YnrwbKnXoKGqvnvXDpXl/OujR1XoGbOGhHlYG95s7733nixbucZCgAcP3CfgoTigfx/9NwXPWtr87d2zS9q2aaWjQ2gheO1qhg9f9+7ekfDwpTZ/2yA0+vh8IFmzZhOEA9J2cqE+vLObNKrn1R9GtLVes3Ydi9/5n3/6SVq1aKKS3jkz/AbCw71+g0YWH59QDx9ZypcrGeN+AUGyXLkK8knqTyW/n59kyJDRYk6x0wpejd5sYNS3X5Bat0ZvT3hb9+3T0yKJsDuvGTDnM7P9lWfmtwz37YOHv1aN2YrLj3Aau/ZG6ut/+NBB6r3E2jzl/k+B15t/sTh2EiABEkgAAhCQ8uX3k99+eyJR587a3JL57cmz8vHHnzhNZjNqzHgJaNNW9frggUhp2fxV8rDgGXP0F0G8rEAkXrlimSAxT4tWAfqLSmwTuyQAqgQ9BV4oBg4eKu3ad9JFq9OnT0mdmp/r/cALg6Ot6PA8/fbkOeUBhG3kWTKmcWkMeNHGtkH/Aq+210LwHzokyPQWRJdO6GGFataqLeMnThU8wOIFD2EWXDGEZkDiD1iXTu1iZOy21YYxXunSJYsEXj6I2fzmm2/qxXGtde/WyetFK3iuzZwzT70Qw2xtd7XFGPM5J2SBOmQvGYuz+cX12qhxUzU38EaFYWdCiaKFnFX1iuP5/fyV5+2Vy5dUmAWj4SX52s276uUcXoP5cvvGuA8htFCJkqUcXju4trCdWhOTIRTPDw1R26lbtQ7U4/7itwzn8PYwJ4BZvkIlKVS4sLz/fkq5fOmi8to13lPSp88g339/32E8eG2HAbbVIua+mfAo+GjWrXtvqVCxkvIyRUI97IzQPO684uKwMUis5UqVq0jGjJnk/vf3ZevmTRbx18Ftb8QhVfPSxYtStXK5GNcUwsdgZwPu/YUL5nP54zAaql2nrowZN0n/yOxqrPjkPl/4rcJzUZq0adUHJkfhlSA2YV0jjAN2waVK9VGM0DOYmy2bNkqf3t1d+j3Cuhg2YpTUqFlbocazNLx+rX9Tk/s82BofPkrgI/o///FPORd1NsbcxOc1w2dm+yvO2W8ZahqT204cP1bmhcyO0WBKHx85c+6SuoaQdwGe2UbzpPs/BV5v/IXimEmABEggiRG4fuue8lrAlv2mjevb7B28tZD4QPuCXrpkUT3uYbnyFSVs2Ur9gRSJKuDtoxluzIinhRc8eDL457fcKpjEcCRod/BQM3tOqPKgxkvclcuX1fkhSo2bMEUl+rKVQVjrZPiK1YLkKrBSxT8z9SIAzwgkOjLG9EWsUcTAunz5UoJySGonw0MmEqzgxRdbyZxZYLsOAg92mKPY1MZ2jB6/EKUQWxYvdBCwJk2eLnXrN9BfGLEGFi0MjZFIxFm/kuNxvEwHBLYTVzyrMY+IFwexHtagXi05/u03scaC9hDOJleu3KqNuXNmelyG51gPPpYVkQgHCaRg+/bulsCAljFawofIE6ej1Hq35eGDCkiGhNjMMHhQI/670UMe3sRauAesjS/XrI5lj72n2snT5+Xs2dM250SjgDm5deeBmpvpUyc73dKP+33X7j2lRo1a+scQI9HgaVNU/FmafQLYPdClaw9VwN6HLHxwmjJthioDL8+O7QNNIYVgdvTrk3os01o1qsrZM6dNteFthbE1fcWqLwW/V0ZvUiMHfAi5dOmibN60QZaHLzX1QURrp0XL1mq3FcyWwO9t3F0Zb0JcM3xmdmUmYpYxCrxwRLH3TqPFfUcSaTwPG82T7v8UeGO3TliLBEiABEjATQTw0vbd3YeqNYRv6NGtk82WjclbjOEAsIXwxOnzehy5QUH9bCbvMMbuRfbnu3fvuGkEyaMZiN9a2AyjKBURsVfatGpud5DGRBCVK5bRBWIzVLD1HVuktXiW2PpWp1Y1M014VVl47mCL+JnTp9S4Iciev3RdD11SqUJpuXb1qlMmxozCthK4QBgLXbhE8ubNp9oy403s9OTJtAA+jGzbukX3ljJmQYewC4E3roZrFfMNu3rlslSqUCauTSb7+rfv/aDGuH3bFvUByZYZwzjg5Q4veZoZX95xHSCbva2XxKs37qjrkL9hzpcUBERwhTnacYAEX/Csgm3dskm6du4Qo3F8QGnXoZM0aNhY0qRJa3EcgpcWEgAhTRDaieaYAD5gjRo9ThWyTphmrHnl+m212wMhgeC1btYQ43z+wuit0IjFCwGfZp9ARORhi1i92CWA5Gi43x86eEBdH+56ttWeD7DrIXvWDJwWJwQS6ppBN/jMbG45du7SXe1YhGEXiDFEoNaScafP06dPJXeO6I+5ME+7/1PgNbc+WJoESIAESCAeCODlDS9x8N5E1nNrGzl6nLQJjH4pf/z4sfIq1ba/IsNzseLRdRArtGa1yjZ7iLhk02dEb8tBvDfEnKXZJoCt6MdPRekvxfaEd3gRwpsQgrCtL96u8EXd0WMnCDLc4r/hEQdPYHe9pLjSB08rs2//IRWnFx7viJs8YsQY5W0Lc9WTyvgyguRSBf1yy7Nnz2yigIf2lOkzpF/vnrGKfelpfGPb3yJFi8mX6zaqZF0jhw+R3bt3CjwU8eKA36sihfwstkHH9jwQqyCs4HrhjgTXKJ6Juqw+imBu8OJmKza18YNHQb88SjiBZcmaTXDNaXHDcY+xF5ca8/1hqlQqFEDZUsVc65yXlvq8Wg0JXbBYjR7XBxKv2fJ6NoZfWhAaIuPGjlJ1cF21bN1GmjdvqX4PtfnBMSRrhdgVMne2bN+5V1J99JGqA+9teHHTHBOASA6vdzC197EC/LH7CmVwXeXKntk0VoTwWBoenTzM0Qd+0w0nwwr4HYLAqxlClSCpozHWuDuHffSbk+pjCX4rM6b7xJ1NJ8u2Euqa4TOz+eVTt14DmTFrrqpoLwdCr979pHff/qqM8TnaE+//FHjNrxHWIAESIAEScDOByVODVeItGEIrtG8boJ/BuO0VD5p4uUaWUxjCNhw+dlz9t7M4cHPnLdDjimXLnC5W29bcPOwk3Ry8Njdu2aHH54WnYLu2AXpYDBz/Yu0GPSP32i+/kH59epoaE17u8NAFQVmz0HlzGAbAAUU83GPNw7sWBmEEf8P/8MLnlzeHetl2Ztt27pU8efLqxZAkZ2bwNJk9K9hZVR63Q6B1QKDgY5S2dRbzocVrXb4sTIYODjLFDgLKpq07ZeXycCV8aR6jyGyPuIvWLyKmGveywkgsGRK6SI0antSNGtSxiElZpkw5WbbyC3Uc1wLuEZoIbPyIuHHDV9Kze2eb9DDX8ODFtehs54OX4bc73LbtO8rwEaP14+A7fOhA5REKg6fa4KHD9eMIr4SPGohD/e2JsxYJqfCRce/uXTJrVrDcunlD1TF6CSNRVbUq0fGzac4JzJ47X2rVrqMKBk+fIjOmW4a1MH54dzUskPGsuE7w4QQCCmzggL6yelW02EuzTcDPv4DgWVa7/6MUwsV06tjWpV07rnLFR12E34LR691VaiLxfc3wmdn1ubAuGXXxmgqVhR0ddWtVs0hciBj+SJ6qfSQ0hovxxPs/Bd7YrxPWJAESIAEScBMB3HR37tmvb63EljDEEPP1zW6RhXv82NEyPzT6KywsbPkqPeGR0bPHVrc0Dy7c3H2zpHdTz5N3M4g1umrNepVIRTN4Rv39v79VUjzN7t+/Jwh74WpSIbycL1wUZpGFG3EvIexrYQeSN9m4jw4x8oYMG6mHJkGL1pnOnZ0FWaHhPa2FYEB5xNtr3LCOLrA4a4PHLQkgnnRI6EKVjEUzCIUF/HKbSkKEuhMnT5OmzVqoZtAGRKsPU32kx/PF36pUKhursCjeOG/Gj3zYonkgMkJ5DUIsB2cI6jCjGI/5RBJQvPjh3gEvRXvx+5o1bykTJkWLYPhQMnXyRG/EbHrMderWk2nBs3X+WNcIg/H2O+9Y3P9XLA+XIYMGqPZXr1kviEeJsvDInTtnlpw6GR1nWTNkRkf8awjvTBZlelrUDp6IA0d0MRH3+T27d6kEt60C2uix99GyWc9oXGs7d0dINt/sqmP4qILnMlefIcyPJnnVsHX/h3NEn17dbW4/NzN6hBmCUKmJXWFLF8uIYYPNNOG1ZePrmuEzc9yXFO4zM2aF6DsF8cEvYt8eyZkzl1SsVEVf78YQgJ56/6fAG/f1whZIgARIgATcQABebxs2bxc/P/8YrcETrn1ga4mMjNCPwesTAfHxEApBOKdvJrsvB7ixz5w9T9VlbERzk4UXsYVLwpWQbtwCq7WCUArINqt5XDlrvW//IOVVpYkpeKFDRtvJE8c7q8rjVgTAcPzEKYJkN9rcxCZJXb58+WX5qi91IR8ZsxEmgxZ7AhB4Z88NFWS/hmlJ6pDB2VZ4AFtnwov2pCnBFiKXVu6HHx5Krx5dVZgOmusEkIwQHqO2fsvQirWHLsT66jWi4yY7E21PnIrSQwGUL1tSbly/5nrHvLwktjevWLVGMmfJapPEnt07pV1ga3UMH4Qh3GpzCOGxR7fOcuL4txZ1jXPH7f+xX2CIkYtYubYMv2XYubNu7RqXT4BwWYiHaUyuai+Rm8uNemFBW/d/COVzZs2IVRJB3KuCBg6ROvXq69cW7jMILeTqPcsLp8HmkN15zfCZ2X2rCgm5Fy4Os9j5YWzdOk+Cp97/KfC6b82wJRIgARIgATcQwNawbj16SYaMGeXp77/LsWNHZfbMYHnw4HuL1vHQ06NnH/U3Z8k5Tp+9qGfTdhQ/0Q3dT7ZNIJld567dpVq1GvLmW2/Jjz/8oOIbwmvEFYPgNS90kS6AoM7581HSNqClPHz4wJUmWMYOAbyYzZu/SPwLFNRLfF65vFy8eMFlZnhZhLdWhgwZVZ2lixeqWGW0uBFo07a9DBw0VCUigpn9wAQvRHgrYm7hddqhXYCcjzpnkQAsbj30vtqI9z502Ejlgfh+ypRKzICQsWJZuITMnWUBREsihY+IObJltCt0ILnXaO03FgAAIABJREFUtODoupcvXVKe1TTzBNKnzyD9gwZL3nz51Ev4zRs3ZOyYETG81LP5+qr7ieYBijMhrj5ikiOEQ6bMWQSJWTXPayTNgwc2LXYEEG9/2IjRkjtPXkGSR3ywunH9ukyeNF55wTkyfIyv16CR1KpVR/LkzaeHrUEdCIfwdJ8ze0bsOsZa6iOi9f0f1wC2mTvLZVCo8GcqPBp2MXzySWoLmvfu3ZW6taq7JW68N05TXK4Z8OIzc/ysGtz/Bw0eJuXLV1T3f3wUuX37Ownq1ztGbH1Pvf9T4I2ftcNWSYAESIAE4pmAMTyDvayo6AIElpGjxqreYItz2dLF47lnbN5IAC+Dc0MXCmJcavaf//xHBgX1Vd5yNPcRwJblWbPnycv/vpSihS094eEhB7EDL232DNsAkSQK3vTwiite5JVg7L5eel9L2CI+eUqw8ozq3LGd7Ni+VYeAOWndpq2ELYmOD2vLUAZhAuDxtn//PgloGR2vnBa/BLDdFjF1YY5i6mJ+sJtEiyXOJJ7xOy/G1uHlPn7iVD1sCXaELAtfKsWLlxDf7DlU0bFjRsrC+dE7eGjxSwAfgkuULC0lSpaSgoUKS+bMWWzuQICwC4/rQQP7uTV2bPyOLmm3rt3/kVAQH6TwUQO73zTLniOHlC5TTooUKaqEdoTZ0uLFG0eGRMb4wAvHCVrCE+Azc8Izt3VGT77/U+BNGmuIvSABEiABEjBJIPLQMcmUKbPKll2owKtkUcZm8MJ98swFfTuO2ThxJrvE4lYEkEAH3otaoikc3r5ti9paTm+q+FsueEGAt6fRduyOkA8//FAKF8jn8MQQEvHiB6+GrJnSxl8nvbBlW/OCj0/4COXst2nKtBkqFAfnJeEWTrHiJQQJVmDdunSwm61+0pTp0qRpc1UOH1BKFC2UcJ3kmdSHK3hk4X6jhf7RsCC2u7PfPCJ0D4EZM+dK3foN7DaGME4XL5yXzZs2yPp1X/IZwD3YY7SCxIRY9xu+WqeO4cPtN8fPWDyHGSvhnoLfrSOHD8ny8KVy+fKleOoZm3VGgM/Mzggl3HFPvv9T4E24dcIzkQAJkAAJuJGAJkQhGUtB/zw2W1731WY92ZF1bCU3doVNWRHA1jTE7TVmesYLB2Ionj1zmrwSmADijoUtW6nOumH9OunVs6vNHkCIh8ciBBNkpIcHEC3+CMB76trNu0qUgsdVsSIF7CZi275rnyDpISxD2o/jr1NsWScA79A5IQvUv1s2aywHD0bGoJMjR06VIBTXDLwSq1WpYCo0CnG7j0BKHx+ZM3e+lCpdRm8U953WLZpyTtyH2WZLxpAYKIBdOndu35aoqLNy6GCk7N61U549exbPvWDztghoCQm1Ywh3dv3aNeVBvWPHVibpTALLhs/MSWASrLrgyfd/CrxJbz2xRyRAAiRAAi4Q0Lym7GWSHzZ8lLTr0Em1hJeNQv555I8//nChZRaJLQEIhMEz50iNmrX1JrBldu6cmcwoH1uobqiXIWMm2RtxUPfgQdZ5eIxa26Il4VKpclX1Z+tkU27oBpuwQQDJH5EEEgaRt3HDunLm9CmLkojFt3b9JgrvCbyCIMDf+O6+2sYM77ZmTSy9E1XIjINH5d1331U9w+8ck0Um8CRZnS5o0BCVxNPahg0ZqEI30OKHQNNmLWTCpKl6ci6EBpgZPI2xdeMHt6lWj3x9wuJjO2Lzd+rQVm5/d8tUOyzsfgJ8ZnY/U3e16Mn3fwq87loFbIcESIAESCBBCWTJmk0iIqMzyONlokO7NrI/Yq+K9zZ85Bh9yyyOt2reRA4c2J+g/fPGkyF5wdLwleLvX0ANPyrqnAS2bsEkHUlgMfj5F5D1G7boW5gRY3fCuNFq2znmbeq0GVKxUhXVU3w0qVShNGMjJtC8rVj1pe51CPbwsp42dZLaNts6IFCGDh+li/OrV62QgQP6JlDPeJqNm7fryQsR/xjhZX59/FiKFC0mi5Ys02O/3rxxXcqVKUFgiUgAIZlOnb2ofuPwYRHJu7p27ylIVFikkB/vQ/E8N4jzjnj72v0fp0OyL1wzfP6KZ/hOmsfW/6CBQwRxRbV7PO79/fr0YKiMRJwaPjMnInwXTu2p938KvC5MLouQAAmQAAkkTQK2vEaQeRvbZbWH2DGjR8jihfOT5gCSaa9Kly4r76d8327MymQ67CQ/LGSoX7dhs4qxqxkERe160f42KKifrFq5PMmPJzl1sE+/AdKjZ58Yc2Ec4507t6V0iSJKgKclDAF8MET86gwZMuonxI6Qt99+W/83hPjqn1dSwi8t8QgYE6+uXLFMBg/sr7yvkewLIZpoCUMA93/s5PkwVSr9hOfOnZXOHdo6TPKZML3z3rNA3J08dYbUrlNXv88gFwI+hCyYH+K9YJLAyPnMnAQmwUYXPPX+T4E3aa4n9ooESIAESMBFAmXKlJN5CxbHyNSM7c4tmjXii52LHFnMOwhAzB0zbqLUq98wxjWDECYTx4/hVuZEWgoFChaSCROnSo6cOWP04Pz5KGnSsG6M5HmJ1FWvOi2umeUr11jEdtUA7Nm9U9q3DaDonsgrAjEsIcTDIMAjfvjLly8TuVfeffqu3XpKrz799N0H2u6EoAF91K4rWuIQwIdePDPnyfMqOTFiVffo1lmOHT2SOJ3iWUkgiRLwxPs/Bd4kupjYLRIgARIgAXME6tZrIBB7//naa7Jn9w7ZtXMHXyLMIWRpLyNQvkIlqfp5NeXNc+7sGVmxPJxCVRJYA8h63iawnaRPn1Ee/fKzrFixTG5cv5YEeubdXUDSyJatAyRr1mxy4cJ52bRxA+cliSwJhAdYvHS55MyVS4UwQSgTWuITQHiMacGzpFr1mrrX6JMnTyRfbt/E75yX9wD3/+nBs1SIJs3GjhkpC+fP83IyHD4JxCTgSfd/CrxcwSRAAiRAAiRAAiRAAiRAAiRAAh5NIG/efCr2Oy1pEUDOhJB5C9XuBMR+7dalQ9LqoBf3Bl7W3br3ktdee00K+udRcZNpJEACnkuAAq/nzh17TgIkQAIkQAIkQAIkQAIkQAIkQAJJngC8Ro8dPSzPnj1L8n31pg6mSJFCChYsLJGR0WFOaCRAAp5LgAKv584de04CJEACJEACJEACJEACJEACJEACJEACJEACJODlBCjwevkC4PBJgARIgARIgARIgARIgARIgARIgARIgARIgAQ8lwAFXs+dO/acBEiABEiABEiABEiABEiABEiABEiABEiABEjAywlQ4PXyBcDhkwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJeC4BCryeO3fsOQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgJcToMDr5QuAwycBEiABEiABEiABEiABEiABEiABEiABEiABEvBcAhR4PXfu2HMSIAESIAESIAESIAESIAESIAESIAESIAESIAEvJ0CB18sXAIdPAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTguQQo8Hru3LHnJEACJEACJEACJEACJEACJEACJEACJEACJEACXk6AAq+XLwAOnwRIgARIgARIgARIgARIgARIgARIgARIgARIwHMJUOD13Lljz0mABEiABEiABEiABEiABEiABEiABEiABEiABLycAAVeL18AHD4JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIDnEqDA67lzx56TAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAl4OQEKvF6+ADh8EiABEiABEiABEiABEiABEiABEiABEiABEiABzyVAgddz5449JwESIAESIAESIAESIAESIAESIAESIAESIAES8HICFHi9fAFw+CRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAp5LgAKv584de04CJEACJEACJEACJEACJEACJEACJEACJEACJODlBCjwevkC4PBJgARIgARIgARIgARIgARIgARIgARIgARIgAQ8lwAFXs+dO/acBEiABEiABEiABEiABEiABEiABEiABEiABEjAywlQ4PXyBcDhkwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJeC4BCryeO3fsOQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgJcToMDr5QuAwycBEiABEiABEiABEiABEiABEiABEiABEiABEvBcAhR4PXfu2HMSIAESIAESIAESIAESIAESIAESIAESIAESIAEvJ0CB18sXAIdPAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTguQQo8Hru3LHnJEACJEACJEACJEACJEACJEACJEACJEACJEACXk6AAq+XLwAOnwRIgARIgARIgARIgARIgARIgARIgARIgARIwHMJUOD13Lljz0mABEiABEiABEiABEiABEiABEiABEiABEiABLycAAVeL18AHD4JkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIDnEqDA67lzx56TAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAl4OQEKvF6+ADh8EiABEiABEiABEiABEiABEiABEiABEiABEiABzyVAgddz5449JwESIAESIAESIAESIAESIAESIAESIAESIAES8HICFHi9fAFw+CRAAiRAAiSQlAmkSJFCfv/99yTXxffee09+++23JNWvN954Q1Kl+kju3bubpPrFzpAACZAACZAACZAACZAACcQvAQq88cuXrZMACZAACZAACbhIIG3adNK7b3/JmSu34L8hov7jH/+Q//3vf/Kf//xHHj36RbZv3SJzZs+IIa52695LmjZvoc6EMuPGjnJ61mHDR0nVatVVuVUrlsvcOTNt1kEfunbrKc1atBQfnw/k7bffVuXQr+fPn8sfT5/Kwx8eypZNG2X5sqW6IJ3N11fClq1y2g9nBRaEhkh42JIYxVL6+MjIkWMlT9688mmatPLOO++oMn///bf88vPPcuvWTdm8aYMsXxbm8BTZc+SQJWEr9DIvXryQ6lUryh9//OGw3r///W/ZtWe//PuNN/Ryg4P6y4ED+y3qzZ47XwoULOhsmDGOV61UzkLc37UnUt5N8W6Mci+eP5dff/1VHj9+JCdPnJCFC+bJX3/9Zfp8salgPTawq12jqjx58sRuc7PmhErBQoXU8cCAFnLl8mWnp169Zr2kz5BBL7d40QJZsmiB03pt2raXdu076uVu3rghLZs3dlqv8GdFZMasuXo5rPWypYrJy5cvLeramxNHJ7h75440aVTPaR9YgARIgARIgARIgARIwHUCFHhdZ8WSJEACJEACJEAC8UQgaNAQ6dS5m/zzn/90egaITRcunJeB/ftIVNQ5VX7h4jCpXOVz9d/Hv/1GGtSr5bSdrzZulYKFCqtyu3Zulw7t2sSoU7deAxk3YbIunjptVEQ2b9oo3bt2lOIlSgqEubjami9WyYB+vS2aqVOvvkyZOkMgsjqzixcvSLMmDeTxo0c2i5YtW17CV6y2OLZyxTIZPLC/w6YHDRmm5sxoI4YPkbAliyz+duTrE0qwN2uFC+STH3/8Qa/23d2HSvB3ZhC4v1q/Vvr27uGsaJyP2xrbzh3bpGP7QLttG+u0btFUIiMjHPYjS9ZsEhF52KIMuICPM5sWPEsaNLQUdJs2ri9Hj1i2Z93Ozt37JWeuXBZ/zpEtozx79szib67OibESPhzkyp7ZWdd5nARIgARIgARIgARIwAQBCrwmYLEoCZAACZAACZCAewl89NHHsnnbTkmd+lOLhjUv1OcvnquwA7aEzEULQmXM6BGqXnwIvBB3jV6MOA88NH99/Fj+ev6XfPhhKnnzzTdjALl86ZJUqVRWihQtJl+u2xhnYF+sXilB/fvo7YQtXyXlylWwaBeiNwTcJ09+lY8/Sa17GWuF4GkMAXt/xN4Y/bEl8GKcEPSsPTaNlS9dvRXjPO4UeP3z55JHv/yin9KsmLh1yybp2rlDnPk7asCWwIu5KFrYXx4+fGCzqlmBd+bseVKnbkyP1/JlS8qN69ccjs+WwHv92lWpUK6U3XrwPN8bcSjGcXcJvE+fPpXcObLE67ywcRIgARIgARIgARLwNgIUeL1txjleEiABEiABEkhCBLbu2CN5877yRMTW9rZtWiovXKP5fPCB1KlbXwYEDdZFxfgUeOEpevXGHV1YhtA5acI4tf0fAp5miHtbpEgxCWzfQSCUop4m8KIM+m3PTp25oHssBwa0lFOnTtgs+vtvv+lCa+MmzWTy1GC9HITwYUMGyorl4RZ133//fQlf8YX4+xfQ/45YxnlzZbPoPw7aEnjx9/nz5sr4caNt9imwXQcZMXJMjGPOBF6Ei5g2dZLTFQjGENKNZhR4K5YvJdeuXlWHIf6nS59BWrZsLc1btrb4GNCmdQuJ2LfH6fliW8Ao1qLPmocxPGThKWvLzAq8F6/ctOlBvmnjBunRrZPDrtsSeFGhZrXKcu7cWZt14XUO73NrcybwNmpQR65eveIU5csXL5JkXG2nHWcBEiABEiABEiABEkjCBCjwJuHJYddIgARIgARIIDkTqF6jpoSEvtrOD1EM8UEdeY1CzJs+Y47UrFVb4lPgbdkqQMaOfyVEIuSDtehsPTcZMmaSmbPmyp9//ulSjNEb392Xf/3rX6qZ+nVryonj3zqcboSvOH/pui72IclbnVrVHHpxDhg4WMUP1gxxW0eNHGZxHqPAi9i1EK1hGAdEPaOgrVU8c+6SLl7DO1jzsHYm8IbMnaWE8tiYPYHX2FauXLll2869unC+bu2aeA3VYBRrv1yzWho1bqp3xyhCG/toRuAtU6acLFv5haoOr2oI+W0C26l/uxLqwCjwYj41j/Pz56NUnGVrg1f6idNRSqhG3Gst3jTKORN47Y03NnPNOiRAAiRAAiRAAiRAAuYIUOA1x4ulSYAESIAESIAE3EAAYmXUxWvy7rvRSbOwbTtPzqw2xURbp0NisD///Etuf3dLHXZ3iIap02dKw0ZNXBbSYoPErMA7ctRYQdIszVyJ34qye/YdEN/sOVQ1iOcF/fNYeMcaBd579+4qcS9NmrSq/NTJE2X2rFcew/ibUZhHLORPP00jPj4+qnxiC7zog9ErHInmkBwsvsxarJ08LVg+/vgTdTrEh67xeaUYpzYj8Bq9aQ8fOig9u3eRk2fO6222at4kRlI74wmNAi9CVlSrXlMXv20JsnPnLZAaNWurJkLnzbGIsUyBN75WEdslARIgARIgARIggbgToMAbd4ZsgQRIgARIgARIwCSBz6vVkNAFi/VaSIgFb8vYmrsFXnjvwotXs/x5c8QIGRDbvmr1zAq8Rq9ZM8Jlfj9/2bx1p97diePHyryQ2fq/rQXeiePHyJyQBeo4wjpAeDfa4WPHJV269OpPdWtXlyVhK5KUwLvqi3VSomR0jNn79+9J8SIF4zpVdutbi7Wv/etfsiRsuV4efE6dtAy94arAi48g127e1b28teRoB498IxkyZFTnOHb0iENvcaPAi+sLHrkQeWHWyQjfeust5SEOr3J4ZWPeEaZEMwq88baM2DAJkAAJkAAJkAAJxJkABd44I2QDJEACJEACJEACZgkMGTpCOnTqoqq5I+mSuwVe6wRr27dtkc4do7fGu8vMCry37jzQvS/NCuJHvzmpe+Vu3rRRunftqA/DWuAtUbSQGMXkkSOGytLFC1X5wp8VkXVfbVb/fevmDSlburicibqcpATe/QeOSOYs0aL0yRPHpV6dGu6ashjt2BJrIw8elUyZo5OI3bxxXcqVKWFRz1WB1xgmxHiNdOnaQ4IGDVFtwiM7W+Z0gljMtsxa4J0wboweggGhN0oWKyzw2oaNGjNeAtq0Vf+NUBBDBwcJwmJoRoE33pYRGyYBEiABEiABEiCBOBOgwBtnhGyABEiABEiABEjALIGVq9dKyVKl7YpgZttzt8D7zjvvKOFSiy2L/iDmbcS+vbI/Yo9ERu6Ps0evGYEXydogumpWvmxJh7F3rfmtXb9JPitSVP3ZOv6qLYE3ILCdjBodHSv38ePH4pc3OsTD9l37JHfuPOq/A1o1l/0Re00JvIjr+uTJr06nF4JllYplLZJxuRKDt0DBQrJh0za9fcT7Rdzf+DJbYm2hwp/J+g1b9FNaJ3pzVeDdG3FQsvlmV+0YE6ohRvKV67f1hG5IsrcsfKnNIVoLvPgwYPRwjoyMEIT6QFgOtIm2wR7eu5grMwLvo19+kb+e/+UU9b27dwUxrWkkQAIkQAIkQAIkQALuI0CB130s2RIJkAAJkAAJkICLBIwiV0TEXmnTqrmLNW0Xc7fAi7O0DgiU0WMn2O0XtrE/ePC9nDp5UpYsmi/nzp01NQYzAm+lylVl0ZJwvf2M6T5xOV4xKk2eGiyNmzRT9SHE+efPpbdlS+DFwQuXb+gxkvv06i6nTp0UeKfCHj58IEUK+an/NuPBawZQ4QL55Mcff9CrOBN4A9t1kKCBQ/REYkhCljtHFlOczPQPZe2JtUj0lidP3hisHNUxnvv999+Xs+ev6CKudbxcY/vXrl6RiuWjP5ZYmy2BF97F2jzCi7eAX25p2rSFICEfbMvmTdKtSwd1bjMCr6vsXEkO52pbLEcCJEACJEACJEACJBBNgAIvVwIJkAAJkAAJkECCE7h09ZaKBwpbsmiBjBo5LE59iA+BFx1CrOCZs0OUZ6Mz+/mnn6R3z25y8GCks6LquBmBt3uP3tJvwEBVD8IytuWbsT79BkjPXn1VlRcvXkjWTNFJ1GD2BF5jnR9+eCjXr13TY9v27NFFNn61XtWPL4EXIjTEaM2MAi+E37/++kuFrHj33RQCj2vEjtXs119/lZbNGpkW3c0wRVl7Am82X1/ZG3FIbw4C+fp1X6p/u+LBixAMCMUA++nHH6VQgWixWLP6DRrJ9BnRcZQh0ubPk12ePHkSo/u2BF4U2rJ9t+TLl1+V37Z1s5QsVUYgKqMtcH/86FG8CbzuCMlidp5YngRIgARIgARIgASSOwEKvMl9hjk+EiABEiABEkiCBE6ePi8fpkqleqZ5DMalm/El8KJP8GSsXbeetGrVRnyz55AUKVI47OqI4UMkbMkip8MxI/A2aNhYINZpgh48eM3YyFFjpU3b9qqKdeI0ewIvxFNs2zeGqUB9Y8gG/NuMwLt0ySKZNmWi064jTAA8PY1mFHgdNYB4yV07d7Abl9bpyU0UcCTWrl6zXoqXKKlag+AMERbmisB7/NQ5+eijj1X5RQtCZczoERa9wppEArbXX39d/T103hxBfF1rsyfwWife0+ppIRu0dW/GgxcJ5eBN7MzwgQLiPI0ESIAESIAESIAESMB9BCjwuo8lWyIBEiABEiABEnCRwMYtO8Tfv4AqffnSJalSqayLNW0XMwq8ribWQqxWxGyF7dyxTTq2D3SpDxA+CxYqLOUrVJRixUuKn5+/vpUeDcBD1j9fTov4sbYaNiPwZsmaTSIiD+vNFPTLIz///JNL/UWhsOWrpFy5Cqq8deIvewIvyo4dP0mQ7Mto8LaG17VmZgRexMNFXNzYmFHghacp/geD2In/aWb0lo3NeczUcSTWpk79qRz79pTet3FjRsmC+SFOBV7ruQZrCMTWBsHex8dH/RkezQhpYW32BF6UMyaj0+ohwZ6WdM1siAbrMBJmOLIsCZAACZAACZAACZBA3AhQ4I0bP9YmARIgARIgARKIBYEp02ZIo8ZNVU1sLc+X2zcWrbyqYhQiHcUkNZ7EmMQKSaqQrCo2BiFvcdhyPfkY2kAyq3Vr1zhszozAi4aMAqeW4MzV/hrHum/vbgkMaKlXdSTwvvXWW3L+0nU9/IGt+KmJIfAaxcRPPkktB498o4fRgPCLJF4njn/rKp5Yl3PmjTt/4RKp+nl11T6SluXKnlkOHzsuadNGh9hAgjN4zRpt5ux5UqduPdN9siWwOhJ4jfOOk4FX/bo19fNS4DU9BaxAAiRAAiRAAiRAAolGgAJvoqHniUmABEiABEjAewm0aNlaxk2YrAOIq/efMSEa4sV+VjA6vqgjM26DHzo4SJYvC3NWxe5xCHYQ+zRbunihjBwx1GF7ZgVeY9KziH17pE3rFi7197333lMJu+B5DJs9K1imTn4VJsGRwKvKz50vtWrXUXVnzpgm06e+mjf8LbEFXvShUOHPZN1Xm3VvWYQBKFe6uO6N6hKoWBRyJvAiri34aOzhwVyrdl2HAu/FKzdVTGGztmnjBunRrZNFNUcCLwp+ffy04AMFrHLFMnLl8mW9PgVeszPA8iRAAiRAAiRAAiSQeAQo8CYee56ZBEiABEiABLyWQLp06ZUno2a3bt6QsqWLx5pH4c+KKIEP9vLlS8meNYP6f3uGuLKIL6sJb4gfeurkK4E2Nh0xJo6bO2emTJ443mEzZgXe9Ru2KCETBi9VbKe/f/+e067OCVkgNWvV1svV+LySREWd0//tTOD1+eAD6dsvSP773//KqBFDY8S2TQoCLwbTuEkzmTw1WB8XYgWXKFowRixfp8BMFHAm8KKpSVOmS5OmzVWrEJ5/+eVnXVS19uAtU6acLFv5hT7HM6ZPddibipWrSN680aEZbHlXOxN4cd3UrlNP7t65I/ND51qciwKviYXAoiRAAiRAAiRAAiSQyAQo8CbyBPD0JEACJEACJOCtBIxxc8HAOrarPS5FihaT0PmLZfXqFbqICo9HeD5qFjxtiswIti+O9e0fJD169tHL+2ZJb5H4CWIxksD17N5Fzp457XSKrD14a9Wo6rSeWYEX54AorsWbPXfurNSsVtlh37LnyCG79kTqdY5/+40KX2A0ZwKvs8EnFYFXraEx4yWgTVu9y9bxhp2NxexxVwTeN954Q4W5sE5Wh3NZC7xffPmVFCteQnXjwoXzUq1KdNxke5bN11f2RhzSD1u350zgddQ2BV6zq4HlSYAESIAESID+GmPTAAAIq0lEQVQESCDxCFDgTTz2PDMJkAAJkAAJeDUBCF/nLlyVN998U+dw5PAhadumpTx79iwGG8SDDQldKOUrVFLHFi0IlTGjR+jlVq9ZL8VLlFT//vvvv2XggL6y5otVMdpp2qyFjJ84RffePXggUlo2b2xRbtPWnSp5GgyiaLcuHeXhwwc25wtJsTZt2SEpUqRQx//880/lQezMzAq8aG/GrBCpW6++3jQ8eOvVrmGzbwGB7WTEyDH6OMGkSCE/lZDLaMlJ4MW41qzdIEWLvfIGP3Bgv7Rq3sTZdMTquCsCLxoOGjREunTtEeMcRkEW3uTXbt7V4x0P6Nfb5vq1buT02Yvywf/9n/rz18eOSuOGdfUiFHhjNa2sRAIkQAIkQAIkQAIeR4ACr8dNGTtMAiRAAiRAAsmHQIOGjQUilNGwjf3mjRty6dJFefr0d8mTJ69kzJhJUvr46J6oKG8t8CKUwIlTUbpAhjJIuHY+KkquXr0ivr7ZJXeePOKbPYd+OoRxKOifR359/NiiD0aBVzuALfD3792VixcvysOH30uaNOkkT968kilTZou6EBMhKjqz2Ai8EMVPnrmgi8k4B8Zw/do1iYo6K49++UWy58wpOXPmko8//sSiCwtCQ2Tc2FExupWQAi/E76e//+4MjQpBUb5sCfntt9/0ssYkc45iNkMohadzmjRp9bpLFi1QHuLuNlcFXnjDIoaydWxdo8DbslWAIFmgNqdZM6VVHJyZMcEg1kK2zOn0MBoJKfAiWeKL58+ddVfu3b8ntWtUdVqOBUiABEiABEiABEiABFwnQIHXdVYsSQIkQAIkQAIkEA8E4HUbErpIfHx8XG4dQlbf3t1l44avLOpYe606ahAerSOHD5HwsCUxii1eukwqVqricn9QEO0h7u68kNku1YuNwIuG4cm8NHylvpXf2clevHghQf37yPp1X9osmpACr7O+Go8XLpDPwtvYVYEXbUDsP3LshIWgCo/u1atWmOmC07KuCrxoqH3HzjJ02EiLNo0C796Ig5LNN7s6/u03X0vD+q/iJjvqCJKkIVmaZsOGDJRl4UvVPxNS4HUK6/8XsBUr2NW6LEcCJEACJEACJEACJGCbAAVergwSIAESIAESIIEkQWDkqLHSqEmzGF6OWufgzYgwCevWrpHZM4MtYuYaBwDPzSVhKyRHzpx2x3X+fJS0a9NKHjz43m6ZXLlyS+euPaRc+QoWHrPWFSDsRu7fJ31695DHjx65zPL6rXvy+uuvq/KuxOy1brh+g0YybMRoSZkypYVns1YOwu6VK5dV+Al49tqzkqVKy8rVa9Xh27e/k9Ilirg8BhQ0hggYOjhIli8Ls6h/6Oi3kj6985AV1if1z5/Lot+37jzQw00gIR8S8zkyzN+2nXv1Olg/GNudO7dNjc9RYePYmjauL0ePHHbYtjFeMQo2b9pQDh86qPp48/b3+jy2C2wte3bvdLmfR785qXssI4EeEunBkHQOyedgX6xeqYR+V806Bq91nGq0Y5wTV9v9/fffJU/OrK4WZzkSIAESIAESIAESIAEXCFDgdQESi5AACZAACZAACSQcAQhLEOcKFf5MPkmdWn788Uf57tYtOXQwUoUjcNWQ1Cq/n78UKFBIUn/6qTz4/ns5c+aUnDl9yq44bK9thEbInj2HCu+QOUsW1Q+Efjh18oT8/PNPrnYpXsqBV778flKqVBnlBQ3xGrGMrWPtxsvJ2SgJkAAJkAAJkAAJkAAJkECiE6DAm+hTwA6QAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQOwIUOCNHTfWIgESIAESIAESIAES8CACZcqUk0VLl7mlxzl9M5nyJnfLSdkICZAACZAACZAACZAACdghQIGXS4MESIAESIAESIAESCDZE6hZq7bMCVnglnFmy5xOnj9/7pa22AgJkAAJkAAJkAAJkAAJxJUABd64EmR9EiABEiABEiABEiCBJE8AicyyZI17cq+XL//rNMFbkofBDpIACZAACZAACZAACSQrAhR4k9V0cjAkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQALeRIACrzfNNsdKAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiSQrAhQ4E1W08nBkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJeBMBCrzeNNscKwmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQLIiQIE3WU0nB0MCJEACJEACJEACJEACJEACJEACJEACJEACJOBNBCjwetNsc6wkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQALJigAF3mQ1nRwMCZAACZAACZAACZAACZAACZAACZAACZAACZCANxGgwOtNs82xkgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJJCsCFHiT1XRyMCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAt5EgAKvN802x0oCJEACJEACJEACJEACJEACJEACJEACJEACJJCsCFDgTVbTycGQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAl4EwEKvN402xwrCZAACZAACZAACZAACZAACZAACZAACZAACZBAsiJAgTdZTScHQwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4E0EKPB602xzrCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAsmKAAXeZDWdHAwJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkIA3EaDA602zzbGSAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAkkKwIUeJPVdHIwJEACJEACJEACJEACJEACJEACJEACJEACJEAC3kSAAq83zTbHSgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkkKwIUOBNVtPJwZAACZAACZAACZAACZAACZAACZAACZAACZAACXgTgf8H0IBWq5lKGzQAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "AI-generated follow-up questions:\n",
-       "\n",
-       "* What is the country name for each of the top 10 customers by sales?\n",
-       "* How many orders does each of the top 10 customers by sales have?\n",
-       "* What is the total revenue for each of the top 10 customers by sales?\n",
-       "* What are the customer names and total sales for customers in the United States?\n",
-       "* Which customers in Africa have returned the most parts with a gross value?\n",
-       "* What are the total sales for the top 3 customers?\n",
-       "* What are the customer names and total sales for the top 5 customers?\n",
-       "* What are the total sales for customers in Europe?\n",
-       "* How many customers are there in each country?\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vn.ask(\"What are the top 10 customers by sales?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "SELECT n.n_name as country_name,\n",
-      "       sum(l.l_extendedprice * (1 - l.l_discount)) as total_sales\n",
-      "FROM   snowflake_sample_data.tpch_sf1.nation n join snowflake_sample_data.tpch_sf1.customer c\n",
-      "        ON n.n_nationkey = c.c_nationkey join snowflake_sample_data.tpch_sf1.orders o\n",
-      "        ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l\n",
-      "        ON o.o_orderkey = l.l_orderkey\n",
-      "GROUP BY country_name\n",
-      "ORDER BY total_sales desc limit 5;\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>COUNTRY_NAME</th>\n",
-       "      <th>TOTAL_SALES</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>FRANCE</td>\n",
-       "      <td>8960205391.8314</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>INDONESIA</td>\n",
-       "      <td>8942575217.6237</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>RUSSIA</td>\n",
-       "      <td>8925318302.0710</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>MOZAMBIQUE</td>\n",
-       "      <td>8892984086.0088</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>JORDAN</td>\n",
-       "      <td>8873862546.7864</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "  COUNTRY_NAME      TOTAL_SALES\n",
-       "0       FRANCE  8960205391.8314\n",
-       "1    INDONESIA  8942575217.6237\n",
-       "2       RUSSIA  8925318302.0710\n",
-       "3   MOZAMBIQUE  8892984086.0088\n",
-       "4       JORDAN  8873862546.7864"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "AI-generated follow-up questions:\n",
-       "\n",
-       "* What are the total sales for each country in descending order?\n",
-       "* Which country has the highest number of customers?\n",
-       "* What are the total sales for each customer in descending order?\n",
-       "* Which customers in the United States have the highest total sales?\n",
-       "* What are the total sales and number of orders for each customer in each country?\n",
-       "* What are the total sales for customers in Europe?\n",
-       "* What are the top 10 countries with the highest total order amount?\n",
-       "* Which country has the highest number of failed orders?\n",
-       "* Which customers have the highest total sales?\n",
-       "* \n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vn.ask(\"Which 5 countries have the highest sales?\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "with ranked_customers as (SELECT c.c_name as customer_name,\n",
-      "                                 r.r_name as region_name,\n",
-      "                                 row_number() OVER (PARTITION BY r.r_name\n",
-      "                                                    ORDER BY sum(l.l_quantity * l.l_extendedprice) desc) as rank\n",
-      "                          FROM   snowflake_sample_data.tpch_sf1.customer c join snowflake_sample_data.tpch_sf1.orders o\n",
-      "                                  ON c.c_custkey = o.o_custkey join snowflake_sample_data.tpch_sf1.lineitem l\n",
-      "                                  ON o.o_orderkey = l.l_orderkey join snowflake_sample_data.tpch_sf1.nation n\n",
-      "                                  ON c.c_nationkey = n.n_nationkey join snowflake_sample_data.tpch_sf1.region r\n",
-      "                                  ON n.n_regionkey = r.r_regionkey\n",
-      "                          GROUP BY customer_name, region_name)\n",
-      "SELECT region_name,\n",
-      "       customer_name\n",
-      "FROM   ranked_customers\n",
-      "WHERE  rank <= 2;\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>REGION_NAME</th>\n",
-       "      <th>CUSTOMER_NAME</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>ASIA</td>\n",
-       "      <td>Customer#000102022</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>ASIA</td>\n",
-       "      <td>Customer#000148750</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>AMERICA</td>\n",
-       "      <td>Customer#000095257</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>AMERICA</td>\n",
-       "      <td>Customer#000091630</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>EUROPE</td>\n",
-       "      <td>Customer#000028180</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>EUROPE</td>\n",
-       "      <td>Customer#000053809</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>MIDDLE EAST</td>\n",
-       "      <td>Customer#000143500</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>MIDDLE EAST</td>\n",
-       "      <td>Customer#000103834</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>AFRICA</td>\n",
-       "      <td>Customer#000131113</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>AFRICA</td>\n",
-       "      <td>Customer#000134380</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   REGION_NAME       CUSTOMER_NAME\n",
-       "0         ASIA  Customer#000102022\n",
-       "1         ASIA  Customer#000148750\n",
-       "2      AMERICA  Customer#000095257\n",
-       "3      AMERICA  Customer#000091630\n",
-       "4       EUROPE  Customer#000028180\n",
-       "5       EUROPE  Customer#000053809\n",
-       "6  MIDDLE EAST  Customer#000143500\n",
-       "7  MIDDLE EAST  Customer#000103834\n",
-       "8       AFRICA  Customer#000131113\n",
-       "9       AFRICA  Customer#000134380"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/markdown": [
-       "AI-generated follow-up questions:\n",
-       "\n",
-       "* - What are the total sales for each customer in the Asia region?\n",
-       "* - How many orders does each customer in the Americas region have?\n",
-       "* - Who are the top 5 customers with the highest total sales?\n",
-       "* - What is the total revenue for each customer in the Europe region?\n",
-       "* - Can you provide a breakdown of the number of customers in each country?\n",
-       "* - Which customers in the United States have the highest total sales?\n",
-       "* - What are the total sales for each customer in the Asia region?\n",
-       "* - What are the top 10 customers with the highest returned parts gross value in Africa?\n",
-       "* - What are the top 3 customers with the highest total sales overall?\n",
-       "* - Can you provide a list of the first 10 customers in the database?\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.Markdown object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "vn.ask(\"Who are the top 2 biggest customers in each region?\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Run as a Web App\n",
-    "If you would like to use this functionality in a web app, you can deploy the Vanna Streamlit app and use your own secrets. See [this repo](https://github.com/vanna-ai/vanna-streamlit)."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.2"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/docs/index.ipynb b/notebooks/index.ipynb
similarity index 100%
rename from docs/index.ipynb
rename to notebooks/index.ipynb
diff --git a/notebooks/streamlit.ipynb b/notebooks/streamlit.ipynb
new file mode 100644
index 00000000..5f6dc409
--- /dev/null
+++ b/notebooks/streamlit.ipynb
@@ -0,0 +1,30 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<iframe\n",
+    "  src=\"https://demo.vanna.ai/?embed=true\"\n",
+    "  height=\"450\"\n",
+    "  style=\"width:100%;border:none;\"\n",
+    "></iframe>"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 34f797d7722f06bbe332ed73aa7f6ee217a771a3 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 11:48:00 -0400
Subject: [PATCH 11/14] header bar

---
 docs/sidebar.py        | 37 ++++++++++++++++++++++++++++++++++++-
 docs/sidebar.yaml      |  1 +
 nb-theme/index.html.j2 |  1 +
 3 files changed, 38 insertions(+), 1 deletion(-)

diff --git a/docs/sidebar.py b/docs/sidebar.py
index 0f6d4301..8c64a5f8 100644
--- a/docs/sidebar.py
+++ b/docs/sidebar.py
@@ -41,6 +41,22 @@ def generate_html(sidebar_data, current_path: str):
     html += '</ul>'
     return html
 
+def generate_header(notebook_name: str) -> str:
+    return f"""
+<a href="https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/{notebook_name}.ipynb" target="_blank" class="text-white bg-indigo-700 hover:bg-indigo-800 focus:ring-4 focus:outline-none focus:ring-indigo-300 font-medium rounded-lg text-sm px-5 py-2.5 text-center inline-flex items-center mr-2 dark:bg-indigo-600 dark:hover:bg-indigo-700 dark:focus:ring-indigo-800">
+  <svg class="w-3.5 h-3.5 mr-2" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 14 16">
+    <path d="M0 .984v14.032a1 1 0 0 0 1.506.845l12.006-7.016a.974.974 0 0 0 0-1.69L1.506.139A1 1 0 0 0 0 .984Z"/>
+  </svg>
+  Run Using Colab
+</a>
+<a href="https://github.com/vanna-ai/vanna-py/blob/main/notebooks/{notebook_name}.ipynb" target="_blank" class="text-white bg-[#24292F] hover:bg-[#24292F]/90 focus:ring-4 focus:outline-none focus:ring-[#24292F]/50 font-medium rounded-lg text-sm px-5 py-2.5 text-center inline-flex items-center dark:focus:ring-gray-500 dark:hover:bg-[#050708]/30 mr-2 mb-2">
+  <svg class="w-4 h-4 mr-2" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
+    <path fill-rule="evenodd" d="M10 .333A9.911 9.911 0 0 0 6.866 19.65c.5.092.678-.215.678-.477 0-.237-.01-1.017-.014-1.845-2.757.6-3.338-1.169-3.338-1.169a2.627 2.627 0 0 0-1.1-1.451c-.9-.615.07-.6.07-.6a2.084 2.084 0 0 1 1.518 1.021 2.11 2.11 0 0 0 2.884.823c.044-.503.268-.973.63-1.325-2.2-.25-4.516-1.1-4.516-4.9A3.832 3.832 0 0 1 4.7 7.068a3.56 3.56 0 0 1 .095-2.623s.832-.266 2.726 1.016a9.409 9.409 0 0 1 4.962 0c1.89-1.282 2.717-1.016 2.717-1.016.366.83.402 1.768.1 2.623a3.827 3.827 0 0 1 1.02 2.659c0 3.807-2.319 4.644-4.525 4.889a2.366 2.366 0 0 1 .673 1.834c0 1.326-.012 2.394-.012 2.72 0 .263.18.572.681.475A9.911 9.911 0 0 0 10 .333Z" clip-rule="evenodd"/>
+  </svg>
+  Open in GitHub
+</a>
+"""    
+
 # Read YAML data from a file
 def read_yaml_file(file_path):
     with open(file_path, 'r') as file:
@@ -56,6 +72,20 @@ def read_yaml_file(file_path):
 import os
 notebook_files = [file for file in os.listdir(notebook_dir) if file.endswith('.ipynb')]
 
+def is_runnable(notebook_name: str, sidebar_data: dict) -> bool:
+    # Check if the notebook is runnable
+    for entry in sidebar_data:
+        if 'link' in entry:
+            if entry['link'] == f'{notebook_name}.html':
+                return entry.get('runnable', 'true') == 'true'
+            
+        if 'sub_entries' in entry:
+            for sub_entry in entry['sub_entries']:
+                if sub_entry['link'] == f'{notebook_name}.html':
+                    return sub_entry.get('runnable', 'true') == 'true'
+
+    return False
+
 for notebook_file in notebook_files:
     # Get just the file name without the extension
     notebook_name = os.path.splitext(notebook_file)[0]
@@ -75,5 +105,10 @@ def read_yaml_file(file_path):
 
     # Write body to file
     with open(os.path.join(output_dir, f'{notebook_name}.html'), 'w') as file:
-        file.write(body.replace('<!-- NAV HERE -->', html_code))
+        # From sidebar_data, see if there is a matching entry for the current notebook
+        if is_runnable(notebook_name, sidebar_data):
+            file.write(body.replace('<!-- NAV HERE -->', html_code).replace('<!-- HEADER HERE -->', generate_header(notebook_name)))
+        else:
+            file.write(body.replace('<!-- NAV HERE -->', html_code))
+
 
diff --git a/docs/sidebar.yaml b/docs/sidebar.yaml
index cc172714..2519a00c 100644
--- a/docs/sidebar.yaml
+++ b/docs/sidebar.yaml
@@ -1,5 +1,6 @@
 - title: How It Works
   link: index.html
+  runnable: false
   svg_text: |-
     <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" width="14" height="20" fill="none" viewBox="0 0 14 20">
     <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 7a3 3 0 0 1 3-3M5 19h4m0-3c0-4.1 4-4.9 4-9A6 6 0 1 0 1 7c0 4 4 5 4 9h4Z"/>
diff --git a/nb-theme/index.html.j2 b/nb-theme/index.html.j2
index 432cf76c..6e9551b1 100644
--- a/nb-theme/index.html.j2
+++ b/nb-theme/index.html.j2
@@ -119,6 +119,7 @@ a.anchor-link {
   </div>
 </aside>
 <div class="p-4 sm:ml-64 max-w-screen-xl">
+<!-- HEADER HERE -->
 {%- endblock body_header -%}
 
 

From e4d53682bb7e6f9bc203ca2e2cdea8e9b9510f66 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 12:28:13 -0400
Subject: [PATCH 12/14] link stubs

---
 docs/sidebar.yaml               |  16 +--
 notebooks/databases.ipynb       | 176 ++++++++++++++++++++++++++++++++
 notebooks/getting-started.ipynb | 128 +++++++++++++++++++++++
 notebooks/manual-train.ipynb    |  26 +++++
 notebooks/slack.ipynb           |  34 ++++++
 5 files changed, 372 insertions(+), 8 deletions(-)
 create mode 100644 notebooks/databases.ipynb
 create mode 100644 notebooks/getting-started.ipynb
 create mode 100644 notebooks/manual-train.ipynb
 create mode 100644 notebooks/slack.ipynb

diff --git a/docs/sidebar.yaml b/docs/sidebar.yaml
index 2519a00c..045a77c0 100644
--- a/docs/sidebar.yaml
+++ b/docs/sidebar.yaml
@@ -6,11 +6,11 @@
     <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 7a3 3 0 0 1 3-3M5 19h4m0-3c0-4.1 4-4.9 4-9A6 6 0 1 0 1 7c0 4 4 5 4 9h4Z"/>
     </svg>
 
-- title: Ask Vanna
-  link: vn-ask.html
+- title: Getting Started
+  link: getting-started.html
   svg_text: |-
-    <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 20 18">
-    <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M5 5h9M5 9h5m8-8H2a1 1 0 0 0-1 1v10a1 1 0 0 0 1 1h4l3.5 4 3.5-4h5a1 1 0 0 0 1-1V2a1 1 0 0 0-1-1Z"/>
+    <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 21 20">
+    <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="m8.806 5.614-4.251.362-2.244 2.243a1.058 1.058 0 0 0 .6 1.8l3.036.356m9.439 1.819-.362 4.25-2.243 2.245a1.059 1.059 0 0 1-1.795-.6l-.449-2.983m9.187-12.57a1.536 1.536 0 0 0-1.26-1.26c-1.818-.313-5.52-.7-7.179.96-1.88 1.88-5.863 9.016-7.1 11.275a1.05 1.05 0 0 0 .183 1.25l.932.939.937.936a1.049 1.049 0 0 0 1.25.183c2.259-1.24 9.394-5.222 11.275-7.1 1.66-1.663 1.275-5.365.962-7.183Zm-3.332 4.187a2.115 2.115 0 1 1-4.23 0 2.115 2.115 0 0 1 4.23 0Z"/>
     </svg>
 
 - title: Train Vanna
@@ -19,15 +19,15 @@
     <path stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M11 16.5A2.493 2.493 0 0 1 6.51 18H6.5a2.468 2.468 0 0 1-2.4-3.154 2.98 2.98 0 0 1-.85-5.274 2.468 2.468 0 0 1 .921-3.182 2.477 2.477 0 0 1 1.875-3.344 2.5 2.5 0 0 1 3.41-1.856A2.5 2.5 0 0 1 11 3.5m0 13v-13m0 13a2.492 2.492 0 0 0 4.49 1.5h.01a2.467 2.467 0 0 0 2.403-3.154 2.98 2.98 0 0 0 .847-5.274 2.468 2.468 0 0 0-.921-3.182 2.479 2.479 0 0 0-1.875-3.344A2.5 2.5 0 0 0 13.5 1 2.5 2.5 0 0 0 11 3.5m-8 5a2.5 2.5 0 0 1 3.48-2.3m-.28 8.551a3 3 0 0 1-2.953-5.185M19 8.5a2.5 2.5 0 0 0-3.481-2.3m.28 8.551a3 3 0 0 0 2.954-5.185"/>
     </svg>
   sub_entries:
-    - title: Train 1
-      link: /services/train-1
+    - title: Snowflake
+      link: vn-train.html
       svg_text: |-
         <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
         <path d="m19.707 9.293-2-2-7-7a1 1 0 0 0-1.414 0l-7 7-2 2a1 1 0 0 0 1.414 1.414L2 10.414V18a2 2 0 0 0 2 2h3a1 1 0 0 0 1-1v-4a1 1 0 0 1 1-1h2a1 1 0 0 1 1 1v4a1 1 0 0 0 1 1h3a2 2 0 0 0 2-2v-7.586l.293.293a1 1 0 0 0 1.414-1.414Z"/>
         </svg>
 
-    - title: Train 2
-      link: /services/train-2
+    - title: Other Databases
+      link: manual-train.html
       svg_text: |-
         <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
         <path d="m19.707 9.293-2-2-7-7a1 1 0 0 0-1.414 0l-7 7-2 2a1 1 0 0 0 1.414 1.414L2 10.414V18a2 2 0 0 0 2 2h3a1 1 0 0 0 1-1v-4a1 1 0 0 1 1-1h2a1 1 0 0 1 1 1v4a1 1 0 0 0 1 1h3a2 2 0 0 0 2-2v-7.586l.293.293a1 1 0 0 0 1.414-1.414Z"/>
diff --git a/notebooks/databases.ipynb b/notebooks/databases.ipynb
new file mode 100644
index 00000000..3f0c8fcb
--- /dev/null
+++ b/notebooks/databases.ipynb
@@ -0,0 +1,176 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# How to use Vanna with various databases\n",
+    "\n",
+    "You can use Vanna with any database that you can connect to via Python. Here are some examples of how to connect to various databases.\n",
+    "\n",
+    "All you have to do is provide Vanna with a function that takes in a SQL query and returns a Pandas DataFrame. Here are some examples of how to do that."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import vanna as vn"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## **PostgreSQL**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import psycopg2\n",
+    "\n",
+    "conn_details = {...}  # fill this with your connection details\n",
+    "conn_postgres = psycopg2.connect(**conn_details)\n",
+    "\n",
+    "def run_sql_postgres(sql: str) -> pd.DataFrame:\n",
+    "    df = pd.read_sql_query(sql, conn_postgres)\n",
+    "    return df\n",
+    "\n",
+    "vn.run_sql = run_sql_postgres"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## **Snowflake**\n",
+    "\n",
+    "We have a built-in function for Snowflake, so you don't need to write your own.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vn.connect_to_snowflake(account='my-account', username='my-username', password='my-password', database='my-database')\n"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## **Google BigQuery**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from google.cloud import bigquery\n",
+    "import pandas as pd\n",
+    "\n",
+    "project_id = 'your-project-id'  # replace with your Project ID\n",
+    "client_bigquery = bigquery.Client(project=project_id)\n",
+    "\n",
+    "def run_sql_bigquery(sql: str) -> pd.DataFrame:\n",
+    "    df = client_bigquery.query(sql).to_dataframe()\n",
+    "    return df\n",
+    "\n",
+    "vn.run_sql = run_sql_bigquery"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## **Amazon Athena**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from pyathena import connect\n",
+    "\n",
+    "conn_details = {...}  # fill this with your connection details\n",
+    "conn_athena = connect(**conn_details)\n",
+    "\n",
+    "def run_sql_athena(sql: str) -> pd.DataFrame:\n",
+    "    df = pd.read_sql(sql, conn_athena)\n",
+    "    return df\n",
+    "\n",
+    "vn.run_sql = run_sql_athena"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## **Amazon Redshift**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import psycopg2\n",
+    "\n",
+    "conn_details = {...}  # fill this with your connection details\n",
+    "conn_redshift = psycopg2.connect(**conn_details)\n",
+    "\n",
+    "def run_sql_redshift(sql: str) -> pd.DataFrame:\n",
+    "    df = pd.read_sql_query(sql, conn_redshift)\n",
+    "    return df\n",
+    "\n",
+    "vn.run_sql = run_sql_redshift"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# **Others**\n",
+    "\n",
+    "You can follow a similar pattern to the others for your database. You just have to provide a `vn.run_sql` function that takes in a SQL query and returns a Pandas DataFrame."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/getting-started.ipynb b/notebooks/getting-started.ipynb
new file mode 100644
index 00000000..bacd0078
--- /dev/null
+++ b/notebooks/getting-started.ipynb
@@ -0,0 +1,128 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Getting Started with Vanna\n",
+    "This notebook shows how to use Vanna to ask questions from a database using sample data"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Install and Import Vanna"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install vanna"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import vanna as vn"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Log In to Vanna\n",
+    "Vanna provides a function to get an API key. You'll get a code sent to your e-mail.\n",
+    "You can save your API key for future usage so that you don't have to log in every time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "api_key = vn.get_api_key('my-email@example.com') # Put your email here\n",
+    "vn.set_api_key(api_key)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Set Model\n",
+    "`chinook` is a public model that refers to the [Chinook sample database](https://www.sqlitetutorial.net/sqlite-sample-database/)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vn.set_model('chinook')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Connect to the Database\n",
+    "Here we're connecting to a SQLite database but you can connect to [any database that you have a Python driver for](databases.html)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img alt=\"\" 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\">"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/manual-train.ipynb b/notebooks/manual-train.ipynb
new file mode 100644
index 00000000..93afca44
--- /dev/null
+++ b/notebooks/manual-train.ipynb
@@ -0,0 +1,26 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Manually Training Vanna"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/slack.ipynb b/notebooks/slack.ipynb
new file mode 100644
index 00000000..a4992629
--- /dev/null
+++ b/notebooks/slack.ipynb
@@ -0,0 +1,34 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Using Vanna with Slack"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img alt=\"\" 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\">"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 0137f40effaf22f747dad9cd2d1e2b5d0bc9528c Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 12:32:59 -0400
Subject: [PATCH 13/14] runnable

---
 docs/sidebar.yaml | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docs/sidebar.yaml b/docs/sidebar.yaml
index 045a77c0..63673e7d 100644
--- a/docs/sidebar.yaml
+++ b/docs/sidebar.yaml
@@ -41,6 +41,7 @@
   sub_entries:
     - title: Streamlit
       link: streamlit.html
+      runnable: false
       svg_text: |-
         <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
         <path d="m19.707 9.293-2-2-7-7a1 1 0 0 0-1.414 0l-7 7-2 2a1 1 0 0 0 1.414 1.414L2 10.414V18a2 2 0 0 0 2 2h3a1 1 0 0 0 1-1v-4a1 1 0 0 1 1-1h2a1 1 0 0 1 1 1v4a1 1 0 0 0 1 1h3a2 2 0 0 0 2-2v-7.586l.293.293a1 1 0 0 0 1.414-1.414Z"/>
@@ -48,6 +49,7 @@
 
     - title: Slack
       link: slack.html
+      runnable: false
       svg_text: |-
         <svg class="w-6 h-6 text-gray-800 dark:text-white" aria-hidden="true" xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 20 20">
         <path d="m19.707 9.293-2-2-7-7a1 1 0 0 0-1.414 0l-7 7-2 2a1 1 0 0 0 1.414 1.414L2 10.414V18a2 2 0 0 0 2 2h3a1 1 0 0 0 1-1v-4a1 1 0 0 1 1-1h2a1 1 0 0 1 1 1v4a1 1 0 0 0 1 1h3a2 2 0 0 0 2-2v-7.586l.293.293a1 1 0 0 0 1.414-1.414Z"/>

From eb62b2af7f2ee6a75041e8e7d7a65b90e49ba867 Mon Sep 17 00:00:00 2001
From: Zain Hoda <7146154+zainhoda@users.noreply.github.com>
Date: Wed, 2 Aug 2023 13:40:03 -0400
Subject: [PATCH 14/14] update notebooks

---
 docs/sidebar.py                 |   2 +-
 notebooks/getting-started.ipynb | 409 ++++++++++++++++++++++++++++++--
 notebooks/manual-train.ipynb    | 370 ++++++++++++++++++++++++++++-
 notebooks/vn-train.ipynb        |  67 ------
 src/vanna/__init__.py           |  32 +++
 5 files changed, 792 insertions(+), 88 deletions(-)

diff --git a/docs/sidebar.py b/docs/sidebar.py
index 8c64a5f8..257363f3 100644
--- a/docs/sidebar.py
+++ b/docs/sidebar.py
@@ -23,7 +23,7 @@ def generate_html(sidebar_data, current_path: str):
             html += f'<span class="flex-1 ml-3 text-left whitespace-nowrap">{entry["title"]}</span>\n'
             html += '<svg aria-hidden="true" class="w-6 h-6" fill="currentColor" viewBox="0 0 20 20" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" d="M5.293 7.293a1 1 0 011.414 0L10 10.586l3.293-3.293a1 1 0 111.414 1.414l-4 4a1 1 0 01-1.414 0l-4-4a1 1 0 010-1.414z" clip-rule="evenodd"></path></svg>\n'
             html += '</button>\n'
-            html += f'<ul id="dropdown-{entry["title"]}" class="hidden py-2 space-y-2">\n'
+            html += f'<ul id="dropdown-{entry["title"]}" class="py-2 space-y-2">\n'
             for sub_entry in entry['sub_entries']:
                 html += f'<li>\n'
                 highlighted = 'bg-indigo-100 dark:bg-indigo-700' if sub_entry['link'] == current_path else ''
diff --git a/notebooks/getting-started.ipynb b/notebooks/getting-started.ipynb
index bacd0078..4fec05a3 100644
--- a/notebooks/getting-started.ipynb
+++ b/notebooks/getting-started.ipynb
@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -83,29 +83,411 @@
    ]
   },
   {
-   "attachments": {},
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 4,
    "metadata": {},
-   "source": []
+   "outputs": [],
+   "source": [
+    "vn.connect_to_sqlite('https://github.com/lerocha/chinook-database/raw/master/ChinookDatabase/DataSources/Chinook_Sqlite.sqlite')"
+   ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<img alt=\"\" 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\">"
+    "# Ask Questions\n",
+    "Now we're going to use `vn.ask` to ask questions and it'll generate SQL, run the SQL, show the table, and generate a chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SELECT a.name,\n",
+      "       sum(il.quantity) as totalsales\n",
+      "FROM   artist a\n",
+      "    INNER JOIN album al\n",
+      "        ON a.artistid = al.artistid\n",
+      "    INNER JOIN track t\n",
+      "        ON al.albumid = t.albumid\n",
+      "    INNER JOIN invoiceline il\n",
+      "        ON t.trackid = il.trackid\n",
+      "GROUP BY a.name\n",
+      "ORDER BY totalsales desc limit 5;\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Name</th>\n",
+       "      <th>totalsales</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Iron Maiden</td>\n",
+       "      <td>140</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>U2</td>\n",
+       "      <td>107</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Metallica</td>\n",
+       "      <td>91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Led Zeppelin</td>\n",
+       "      <td>87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Os Paralamas Do Sucesso</td>\n",
+       "      <td>45</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      Name  totalsales\n",
+       "0              Iron Maiden         140\n",
+       "1                       U2         107\n",
+       "2                Metallica          91\n",
+       "3             Led Zeppelin          87\n",
+       "4  Os Paralamas Do Sucesso          45"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "AI-generated follow-up questions:\n",
+       "\n",
+       "* What is the total sales for each artist?\n",
+       "* What are the top-selling albums for each artist?\n",
+       "* Which genre has the highest sales?\n",
+       "* What is the total sales for each genre?\n",
+       "* What are the sales trends over the years?\n",
+       "* How many albums are there in the database?\n",
+       "* Who are the top-selling artists in each genre?\n",
+       "* What are the top-selling tracks?\n",
+       "* What is the average sales per artist?\n",
+       "* How does the sales distribution vary across different genres?\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vn.ask(\"What are the top 5 artists by sales?\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SELECT strftime('%Y', invoicedate) as year,\n",
+      "       sum(total) as total_sales\n",
+      "FROM   invoice\n",
+      "GROUP BY year;\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>total_sales</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2009</td>\n",
+       "      <td>449.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2010</td>\n",
+       "      <td>481.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2011</td>\n",
+       "      <td>469.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2012</td>\n",
+       "      <td>477.53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2013</td>\n",
+       "      <td>450.58</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   year  total_sales\n",
+       "0  2009       449.46\n",
+       "1  2010       481.45\n",
+       "2  2011       469.58\n",
+       "3  2012       477.53\n",
+       "4  2013       450.58"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "AI-generated follow-up questions:\n",
+       "\n",
+       "* - What were the total sales by genre?\n",
+       "* - Who were the top selling artists?\n",
+       "* - What were the top selling albums?\n",
+       "* - What were the total sales by country?\n",
+       "* - What were the total sales by customer?\n",
+       "* - What were the total sales by employee?\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vn.ask(\"What were the total sales by year?\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "SELECT g.name,\n",
+      "       sum(il.quantity) as total_sales\n",
+      "FROM   genre g\n",
+      "    INNER JOIN track t\n",
+      "        ON g.genreid = t.genreid\n",
+      "    INNER JOIN invoiceline il\n",
+      "        ON t.trackid = il.trackid\n",
+      "GROUP BY g.name\n",
+      "ORDER BY total_sales desc limit 5;\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Name</th>\n",
+       "      <th>total_sales</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Rock</td>\n",
+       "      <td>835</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Latin</td>\n",
+       "      <td>386</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Metal</td>\n",
+       "      <td>264</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Alternative &amp; Punk</td>\n",
+       "      <td>244</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Jazz</td>\n",
+       "      <td>80</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 Name  total_sales\n",
+       "0                Rock          835\n",
+       "1               Latin          386\n",
+       "2               Metal          264\n",
+       "3  Alternative & Punk          244\n",
+       "4                Jazz           80"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/markdown": [
+       "AI-generated follow-up questions:\n",
+       "\n",
+       "* What are the total sales for each genre?\n",
+       "* Who are the top 5 artists by total sales?\n",
+       "* What are the sales trends by year?\n",
+       "* How many albums are in the database?\n",
+       "* What is the total number of sales?\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "vn.ask(\"What are the top 5 genres by total sales?\")"
    ]
   },
   {
    "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
-   "source": []
+   "source": [
+    "# Now try your own question\n",
+    "\n",
+    "For reference, these are the tables in the database\n",
+    "\n",
+    "<img style=\"max-width:400px\" alt=\"\" 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\">"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Put your question here:\n",
+    "vn.ask()"
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "base",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -119,10 +501,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
-  },
-  "orig_nbformat": 4
+   "version": "3.11.2"
+  }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/notebooks/manual-train.ipynb b/notebooks/manual-train.ipynb
index 93afca44..d6d53afc 100644
--- a/notebooks/manual-train.ipynb
+++ b/notebooks/manual-train.ipynb
@@ -5,22 +5,380 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Manually Training Vanna"
+    "# Manually Training Vanna\n",
+    "This notebook shows how to manually train Vanna. If you prefer to automatically train Vanna, see [here](vn-train.html)\n",
+    "\n",
+    "# Install Vanna\n",
+    "First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it.\n",
+    "Here, we'll also install the Snowflake connector. If you're using a different database, you'll need to install the appropriate connector."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install vanna"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import vanna as vn"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Login\n",
+    "Creating a login and getting an API key is as easy as entering your email (after you run this cell) and entering the code we send to you. Check your Spam folder if you don't see the code."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "api_key = vn.get_api_key('my-email@example.com')\n",
+    "vn.set_api_key(api_key)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Set your Model\n",
+    "You need to choose a globally unique model name. Try using your company name or another unique string. All data from models are isolated - there's no leakage."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vn.set_model('my-model') # Enter your model name here. This is a globally unique identifier for your model."
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Train with DDL Statements\n",
+    "If you prefer to manually train, you do not need to connect to a database. You can use the train function with other parmaeters like ddl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vn.train(ddl=\"\"\"\n",
+    "    CREATE TABLE IF NOT EXISTS my-table (\n",
+    "        id INT PRIMARY KEY,\n",
+    "        name VARCHAR(100),\n",
+    "        age INT\n",
+    "    )\n",
+    "\"\"\")"
    ]
   },
   {
    "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
-   "source": []
+   "source": [
+    "# Train with Documentation\n",
+    "Sometimes you may want to add documentation about your business terminology or definitions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vn.train(documentation=\"Our business defines OTIF score as the percentage of orders that are delivered on time and in full\")"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Train with SQL\n",
+    "You can also add SQL queries to your training data. This is useful if you have some queries already laying around. You can just copy and paste those from your editor to begin generating new SQL."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vn.train(sql=\"SELECT * FROM my-table WHERE name = 'John Doe'\")"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# View Training Data\n",
+    "At any time you can see what training data is in your model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>training_data_type</th>\n",
+       "      <th>question</th>\n",
+       "      <th>content</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>15-doc</td>\n",
+       "      <td>documentation</td>\n",
+       "      <td>None</td>\n",
+       "      <td>This is a table in the PARTSUPP table.\\n\\nThe ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>11-doc</td>\n",
+       "      <td>documentation</td>\n",
+       "      <td>None</td>\n",
+       "      <td>This is a table in the CUSTOMER table.\\n\\nThe ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>14-doc</td>\n",
+       "      <td>documentation</td>\n",
+       "      <td>None</td>\n",
+       "      <td>This is a table in the ORDERS table.\\n\\nThe fo...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1244-sql</td>\n",
+       "      <td>sql</td>\n",
+       "      <td>What are the names of the top 10 customers?</td>\n",
+       "      <td>SELECT c.c_name as customer_name\\nFROM   snowf...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1242-sql</td>\n",
+       "      <td>sql</td>\n",
+       "      <td>What are the top 5 customers in terms of total...</td>\n",
+       "      <td>SELECT c.c_name AS customer_name, SUM(l.l_quan...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>17-doc</td>\n",
+       "      <td>documentation</td>\n",
+       "      <td>None</td>\n",
+       "      <td>This is a table in the REGION table.\\n\\nThe fo...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>16-doc</td>\n",
+       "      <td>documentation</td>\n",
+       "      <td>None</td>\n",
+       "      <td>This is a table in the PART table.\\n\\nThe foll...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1243-sql</td>\n",
+       "      <td>sql</td>\n",
+       "      <td>What are the top 10 customers with the highest...</td>\n",
+       "      <td>SELECT c.c_name as customer_name,\\n       sum(...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1239-sql</td>\n",
+       "      <td>sql</td>\n",
+       "      <td>What are the top 100 customers based on their ...</td>\n",
+       "      <td>SELECT c.c_name as customer_name,\\n       sum(...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>13-doc</td>\n",
+       "      <td>documentation</td>\n",
+       "      <td>None</td>\n",
+       "      <td>This is a table in the SUPPLIER table.\\n\\nThe ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1241-sql</td>\n",
+       "      <td>sql</td>\n",
+       "      <td>What are the top 10 customers in terms of tota...</td>\n",
+       "      <td>SELECT c.c_name as customer_name,\\n       sum(...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>12-doc</td>\n",
+       "      <td>documentation</td>\n",
+       "      <td>None</td>\n",
+       "      <td>This is a table in the LINEITEM table.\\n\\nThe ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>18-doc</td>\n",
+       "      <td>documentation</td>\n",
+       "      <td>None</td>\n",
+       "      <td>This is a table in the NATION table.\\n\\nThe fo...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>1248-sql</td>\n",
+       "      <td>sql</td>\n",
+       "      <td>How many customers are in each country?</td>\n",
+       "      <td>SELECT n.n_name as country,\\n       count(*) a...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>1240-sql</td>\n",
+       "      <td>sql</td>\n",
+       "      <td>What is the number of orders placed each week?</td>\n",
+       "      <td>SELECT date_trunc('week', o_orderdate) as week...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          id training_data_type  \\\n",
+       "0     15-doc      documentation   \n",
+       "1     11-doc      documentation   \n",
+       "2     14-doc      documentation   \n",
+       "3   1244-sql                sql   \n",
+       "4   1242-sql                sql   \n",
+       "5     17-doc      documentation   \n",
+       "6     16-doc      documentation   \n",
+       "7   1243-sql                sql   \n",
+       "8   1239-sql                sql   \n",
+       "9     13-doc      documentation   \n",
+       "10  1241-sql                sql   \n",
+       "11    12-doc      documentation   \n",
+       "12    18-doc      documentation   \n",
+       "13  1248-sql                sql   \n",
+       "14  1240-sql                sql   \n",
+       "\n",
+       "                                             question  \\\n",
+       "0                                                None   \n",
+       "1                                                None   \n",
+       "2                                                None   \n",
+       "3         What are the names of the top 10 customers?   \n",
+       "4   What are the top 5 customers in terms of total...   \n",
+       "5                                                None   \n",
+       "6                                                None   \n",
+       "7   What are the top 10 customers with the highest...   \n",
+       "8   What are the top 100 customers based on their ...   \n",
+       "9                                                None   \n",
+       "10  What are the top 10 customers in terms of tota...   \n",
+       "11                                               None   \n",
+       "12                                               None   \n",
+       "13            How many customers are in each country?   \n",
+       "14     What is the number of orders placed each week?   \n",
+       "\n",
+       "                                              content  \n",
+       "0   This is a table in the PARTSUPP table.\\n\\nThe ...  \n",
+       "1   This is a table in the CUSTOMER table.\\n\\nThe ...  \n",
+       "2   This is a table in the ORDERS table.\\n\\nThe fo...  \n",
+       "3   SELECT c.c_name as customer_name\\nFROM   snowf...  \n",
+       "4   SELECT c.c_name AS customer_name, SUM(l.l_quan...  \n",
+       "5   This is a table in the REGION table.\\n\\nThe fo...  \n",
+       "6   This is a table in the PART table.\\n\\nThe foll...  \n",
+       "7   SELECT c.c_name as customer_name,\\n       sum(...  \n",
+       "8   SELECT c.c_name as customer_name,\\n       sum(...  \n",
+       "9   This is a table in the SUPPLIER table.\\n\\nThe ...  \n",
+       "10  SELECT c.c_name as customer_name,\\n       sum(...  \n",
+       "11  This is a table in the LINEITEM table.\\n\\nThe ...  \n",
+       "12  This is a table in the NATION table.\\n\\nThe fo...  \n",
+       "13  SELECT n.n_name as country,\\n       count(*) a...  \n",
+       "14  SELECT date_trunc('week', o_orderdate) as week...  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vn.get_training_data()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Removing Training Data\n",
+    "If you added some training data by mistake, you can remove it. Model performance is directly linked to the quality of the training data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "vn.remove_training_data(id='my-training-data-id')"
+   ]
   }
  ],
  "metadata": {
-  "language_info": {
-   "name": "python"
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
   },
-  "orig_nbformat": 4
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/notebooks/vn-train.ipynb b/notebooks/vn-train.ipynb
index c455a8f7..56428bf9 100644
--- a/notebooks/vn-train.ipynb
+++ b/notebooks/vn-train.ipynb
@@ -5,13 +5,6 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![Vanna AI](https://img.vanna.ai/vanna-train.svg)\n",
-    "\n",
-    "The following notebook goes through the process of training Vanna. \n",
-    "\n",
-    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/vanna-ai/vanna-py/blob/main/notebooks/vn-train.ipynb)\n",
-    "\n",
-    "[![Open in GitHub](https://img.vanna.ai/github.svg)](https://github.com/vanna-ai/vanna-py/blob/main/notebooks/vn-train.ipynb)\n",
     "\n",
     "# Install Vanna\n",
     "First we install Vanna from [PyPI](https://pypi.org/project/vanna/) and import it.\n",
@@ -145,66 +138,6 @@
     "vn.train(plan=training_plan)"
    ]
   },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Train with DDL Statements\n",
-    "If you prefer to manually train, you do not need to connect to a database. You can use the train function with other parmaeters like ddl"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "vn.train(ddl=\"\"\"\n",
-    "    CREATE TABLE IF NOT EXISTS my-table (\n",
-    "        id INT PRIMARY KEY,\n",
-    "        name VARCHAR(100),\n",
-    "        age INT\n",
-    "    )\n",
-    "\"\"\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Train with Documentation\n",
-    "Sometimes you may want to add documentation about your business terminology or definitions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "vn.train(documentation=\"Our business defines OTIF score as the percentage of orders that are delivered on time and in full\")"
-   ]
-  },
-  {
-   "attachments": {},
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Train with SQL\n",
-    "You can also add SQL queries to your training data. This is useful if you have some queries already laying around. You can just copy and paste those from your editor to begin generating new SQL."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "vn.train(sql=\"SELECT * FROM my-table WHERE name = 'John Doe'\")"
-   ]
-  },
   {
    "attachments": {},
    "cell_type": "markdown",
diff --git a/src/vanna/__init__.py b/src/vanna/__init__.py
index 3800942e..3296ce13 100644
--- a/src/vanna/__init__.py
+++ b/src/vanna/__init__.py
@@ -95,6 +95,7 @@
 import warnings
 import traceback
 import os
+import sqlite3
 
 api_key: Union[str, None] = None  # API key for Vanna.AI
 
@@ -1423,6 +1424,37 @@ def get_training_data() -> pd.DataFrame:
 
     return df
 
+def connect_to_sqlite(url: str):
+    """
+    Connect to a SQLite database. This is just a helper function to set [`vn.run_sql`][vanna.run_sql]
+
+    Args:
+        url (str): The URL of the database to connect to.
+
+    Returns:
+        None
+    """
+
+    # URL of the database to download
+
+    # Path to save the downloaded database
+    path = "tempdb.sqlite"
+
+    # Download the database if it doesn't exist
+    if not os.path.exists(path):
+        response = requests.get(url)
+        response.raise_for_status()  # Check that the request was successful
+        with open(path, 'wb') as f:
+            f.write(response.content)
+
+    # Connect to the database
+    conn = sqlite3.connect(path)
+
+    def run_sql_sqlite(sql: str):
+        return pd.read_sql_query(sql, conn)
+
+    global run_sql
+    run_sql = run_sql_sqlite
 
 def connect_to_snowflake(account: str, username: str, password: str, database: str, role: Union[str, None] = None):
     """