Files
Alex Notov 8d1c93365b Revert CLAUDE_API_KEY to ANTHROPIC_API_KEY throughout the repository
Reverted all instances of CLAUDE_API_KEY back to ANTHROPIC_API_KEY to maintain
compatibility with existing infrastructure and GitHub secrets. This affects:
- Environment variable examples (.env.example files)
- Python scripts and notebooks
- Documentation and README files
- Evaluation scripts and test files

Other naming changes (Claude API, Claude Console, Claude Docs, Claude Cookbook) remain intact.

🤖 Generated with Claude Code

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-16 17:02:29 -06:00

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463 KiB
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setup\n",
"\n",
"To complete the following guide you will need to install the following packages:\n",
"- anthropic \n",
"- voyageai\n",
"- pandas\n",
"- matplotlib\n",
"- sklearn\n",
"- numpy\n",
"\n",
"You will also need:\n",
"\n",
"- Claude API Key\n",
"- VoyageAI API Key (Optional)\n",
" - Embeddings are pre-computed but you will need API key if you make any changes"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!pip install anthropic\n",
"!pip install voyageai\n",
"!pip install pandas\n",
"!pip install numpy\n",
"!pip install matplotlib\n",
"!pip install -U scikit-learn"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"os.environ['VOYAGE_API_KEY'] = \"VOYAGE KEY HERE\"\n",
"os.environ['ANTHROPIC_API_KEY'] = \"ANTHROPIC KEY HERE\""
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Setup our environment\n",
"import anthropic\n",
"import os\n",
"\n",
"client = anthropic.Anthropic(\n",
" # This is the default and can be omitted\n",
" api_key=os.getenv(\"ANTHROPIC_API_KEY\"),\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Classification with Claude\n",
"\n",
"Large Language Models (LLMs) have revolutionized the field of classification, particularly in areas where traditional machine learning systems have faced challenges. LLMs have demonstrated remarkable success in handling classification problems characterized by complex business rules and scenarios with low-quality or limited training data. Additionally, LLMs have the capability of providing natural language explanations and justifications for their actions, enhancing the interpretability and transparency of the classification process. By leveraging the power of LLMs, we can build classification systems that go beyond the capabilities of traditional machine learning approaches and excel in scenarios where data is scarce or business requirements are intricate.\n",
"\n",
"In this guide, we will explore how LLMs can be leveraged to tackle advanced classification tasks. We will cover the following key components and steps:\n",
"\n",
"1. **Data Preparation**: We will begin by preparing our training and test data. The training data will be used to build the classification model, while the test data will be utilized to assess its performance. Proper data preparation is crucial to ensure the effectiveness of our classification system.\n",
"\n",
"2. **Prompt Engineering**: Prompt engineering plays a vital role in harnessing the power of LLMs for classification. We will design a prompt template that defines the structure and format of the prompts used for classification. The prompt template will incorporate the user query, class definitions, and relevant examples from the vector database. By carefully crafting the prompts, we can guide the LLM to generate accurate and contextually relevant classifications.\n",
"\n",
"3. **Implementing Retrieval-Augmented Generation (RAG)**: To enhance the classification process, we will employ a vector database to store and efficiently retrieve embeddings of our training data. The vector database enables similarity searches, allowing us to find the most relevant examples for a given query. By augmenting the LLM with retrieved examples, we can provide additional context and improve the accuracy of the generated classifications.\n",
"\n",
"4. **Testing and Evaluation**: Once our classification system is built, we will rigorously test its performance using the transformed test data. We will iterate over the test queries, classify each query using the classification function, and compare the predicted categories with the expected categories. By analyzing the classification results, we can evaluate the effectiveness of our system and identify areas for improvement."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Problem Definition: Insurance Support Ticket Classifier\n",
"\n",
"*Note: The problem definition, data, and labels used in this example were synthetically generated by Claude 3 Opus*\n",
"\n",
"In the insurance industry, customer support plays a crucial role in ensuring client satisfaction and retention. Insurance companies receive a high volume of support tickets daily, covering a wide range of topics such as billing, policy administration, claims assistance, and more. Manually categorizing these tickets can be time-consuming and inefficient, leading to longer response times and potentially impacting customer experience."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Category Definitions\n",
"\n",
"1. Billing Inquiries\n",
"- Questions about invoices, charges, fees, and premiums\n",
"- Requests for clarification on billing statements\n",
"- Inquiries about payment methods and due dates\n",
"\n",
"2. Policy Administration\n",
"- Requests for policy changes, updates, or cancellations\n",
"- Questions about policy renewals and reinstatements\n",
"- Inquiries about adding or removing coverage options\n",
"\n",
"3. Claims Assistance\n",
"- Questions about the claims process and filing procedures\n",
"- Requests for help with submitting claim documentation\n",
"- Inquiries about claim status and payout timelines\n",
"\n",
"4. Coverage Explanations\n",
"- Questions about what is covered under specific policy types\n",
"- Requests for clarification on coverage limits and exclusions\n",
"- Inquiries about deductibles and out-of-pocket expenses\n",
"\n",
"\n",
"5. Quotes and Proposals\n",
"- Requests for new policy quotes and price comparisons\n",
"- Questions about available discounts and bundling options\n",
"- Inquiries about switching from another insurer\n",
"\n",
"\n",
"6. Account Management\n",
"- Requests for login credentials or password resets\n",
"- Questions about online account features and functionality\n",
"- Inquiries about updating contact or personal information\n",
"\n",
"\n",
"7. Billing Disputes\n",
"- Complaints about unexpected or incorrect charges\n",
"- Requests for refunds or premium adjustments\n",
"- Inquiries about late fees or collection notices\n",
"\n",
"\n",
"8. Claims Disputes\n",
"- Complaints about denied or underpaid claims\n",
"- Requests for reconsideration of claim decisions\n",
"- Inquiries about appealing a claim outcome\n",
"\n",
"\n",
"9. Policy Comparisons\n",
"- Questions about the differences between policy options\n",
"- Requests for help deciding between coverage levels\n",
"- Inquiries about how policies compare to competitors' offerings\n",
"\n",
"\n",
"10. General Inquiries\n",
"- Questions about company contact information or hours of operation\n",
"- Requests for general information about products or services\n",
"- Inquiries that don't fit neatly into other categories\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Labeled Data\n",
"\n",
"The data can be found in this [Google Sheet](https://docs.google.com/spreadsheets/d/1UwbrWCWsTFGVshyOfY2ywtf5BEt7pUcJEGYZDkfkufU/edit#gid=563251048) you can also find the same data in the `data` folder.\n",
"\n",
"We will use the following datasets:\n",
"- `./data/test.tsv`\n",
"- `./data/train/tsv`"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'text': 'I just got my auto policy renewal bill and the cost seems to be more than what I usually pay. Could you explain the reason for the increase?', 'label': 'Billing Inquiries'} 68\n",
"68 68\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"data = {\n",
" 'train': [],\n",
" 'test': [],\n",
" 'test_2': []\n",
"}\n",
"\n",
"# Helper function to convert a DataFrame to a list of dictionaries\n",
"def dataframe_to_dict_list(df):\n",
" return df.apply(lambda x: {'text': x['text'], 'label': x['label']}, axis=1).tolist()\n",
"\n",
"\n",
"# Read the TSV file into a DataFrame\n",
"test_df = pd.read_csv(\"./data/test.tsv\", sep='\\t')\n",
"data['test'] = dataframe_to_dict_list(test_df)\n",
"\n",
"train_df = pd.read_csv(\"./data/train.tsv\", sep='\\t')\n",
"data['train'] = dataframe_to_dict_list(train_df)\n",
"\n",
"\n",
"# Understand the labels in the dataset\n",
"labels = list(set(train_df['label'].unique()))\n",
"\n",
"# Print the first training example and the number of training examples\n",
"print(data['train'][0], len(data['train']))\n",
"\n",
"# Create the test set\n",
"X_test = [example['text'] for example in data['test']]\n",
"y_test = [example['label'] for example in data['test']]\n",
"\n",
"# Print the length of the test set\n",
"print(len(X_test), len(y_test))\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Evaluating each classification model\n",
"\n",
"The `evaluate` function takes the following parameters:\n",
"- `X`: The input features.\n",
"- `y`: The true labels.\n",
"- `classifier`: The classifier function to be evaluated.\n",
"- `batch_size`: The size of each batch for classification (defaults to the tier's maximum batch size).\n",
"\n",
"The `plot_confusion_matrix` function takes the following parameters:\n",
"- `cm`: The confusion matrix.\n",
"- `labels`: The labels for the classes.\n",
"\n",
"By using this evaluation code, you can assess the performance of your classifier and visualize the confusion matrix to gain insights into the model's predictions.\n",
"\n",
"Adjust the `MAXIMUM_CONCURRENT_REQUESTS` to match the rate limits associated with your Anthropic accout, [see here](https://docs.claude.com/claude/reference/rate-limits)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"from sklearn.metrics import classification_report, confusion_matrix\n",
"import concurrent.futures\n",
"import numpy as np\n",
"\n",
"#you can increase this number to speed up evaluation, but keep in mind that you may need a higher API rate limit\n",
"#see https://docs.claude.com/en/api/rate-limits#rate-limits for more details\n",
"MAXIMUM_CONCURRENT_REQUESTS = 1\n",
"\n",
"def plot_confusion_matrix(cm, labels):\n",
" # Visualize the confusion matrix\n",
" fig, ax = plt.subplots(figsize=(8, 8))\n",
" im = ax.imshow(cm, cmap='Blues')\n",
"\n",
" # Add colorbar\n",
" cbar = ax.figure.colorbar(im, ax=ax)\n",
"\n",
" # Set tick labels and positions\n",
" ax.set_xticks(np.arange(len(labels)))\n",
" ax.set_yticks(np.arange(len(labels)))\n",
" ax.set_xticklabels(labels, rotation=45, ha='right')\n",
" ax.set_yticklabels(labels)\n",
"\n",
" # Add labels to each cell\n",
" thresh = cm.max() / 2.\n",
" for i in range(len(labels)):\n",
" for j in range(len(labels)):\n",
" ax.text(j, i, cm[i, j],\n",
" ha='center', va='center',\n",
" color='white' if cm[i, j] > thresh else 'black')\n",
"\n",
" # Set labels and title\n",
" plt.xlabel('Predicted Labels')\n",
" plt.ylabel('True Labels')\n",
" plt.title('Confusion Matrix')\n",
" plt.tight_layout()\n",
" plt.show()\n",
"\n",
"def evaluate(X, y, classifier, batch_size=MAXIMUM_CONCURRENT_REQUESTS):\n",
" # Initialize lists to store the predicted and true labels\n",
" y_true = []\n",
" y_pred = []\n",
"\n",
" # Create a ThreadPoolExecutor\n",
" with concurrent.futures.ThreadPoolExecutor() as executor:\n",
" # Submit the classification tasks to the executor in batches\n",
" futures = []\n",
" for i in range(0, len(X), batch_size):\n",
" batch_X = X[i:i+batch_size]\n",
" batch_futures = [executor.submit(classifier, x) for x in batch_X]\n",
" futures.extend(batch_futures)\n",
"\n",
" # Retrieve the results in the original order\n",
" for i, future in enumerate(futures):\n",
" predicted_label = future.result()\n",
" y_pred.append(predicted_label)\n",
" y_true.append(y[i])\n",
"\n",
" # Normalize y_true and y_pred\n",
" y_true = [label.strip() for label in y_true]\n",
" y_pred = [label.strip() for label in y_pred]\n",
"\n",
" # Calculate the classification metrics\n",
" report = classification_report(y_true, y_pred, labels=labels, zero_division=1)\n",
" cm = confusion_matrix(y_true, y_pred, labels=labels)\n",
" print(report)\n",
" plot_confusion_matrix(cm, labels)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Random Classifier\n",
"\n",
"To demonstrate the output of our evaluate function we can define a random classifier."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"import random\n",
"\n",
"def random_classifier(text):\n",
" return random.choice(labels)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Evaluating the random classification method on the test set...\n",
" precision recall f1-score support\n",
"\n",
"Coverage Explanations 0.00 0.00 0.00 9\n",
" Billing Inquiries 0.00 0.00 0.00 6\n",
" Account Management 0.29 0.33 0.31 6\n",
" Billing Disputes 0.29 0.22 0.25 9\n",
"Policy Administration 0.09 0.17 0.12 6\n",
" Claims Assistance 0.00 0.00 0.00 6\n",
" Claims Disputes 0.17 0.11 0.13 9\n",
" Quotes and Proposals 0.00 0.00 0.00 5\n",
" Policy Comparisons 0.00 0.00 0.00 5\n",
" General Inquiries 0.14 0.14 0.14 7\n",
"\n",
" accuracy 0.10 68\n",
" macro avg 0.10 0.10 0.10 68\n",
" weighted avg 0.11 0.10 0.10 68\n",
"\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(\"Evaluating the random classification method on the test set...\")\n",
"evaluate(X_test, y_test, random_classifier)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Simple Classification Test\n",
"\n",
"Now lets construct a simple classifier using Claude.\n",
"\n",
"First we will encode the categories in XML format. This will make it easier for Claude to interpret the information. Encoding information in XML is a general prompting strategy, for more information [see here](https://docs.claude.com/claude/docs/use-xml-tags)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"import textwrap\n",
"categories = textwrap.dedent(\"\"\"<category> \n",
" <label>Billing Inquiries</label>\n",
" <content> Questions about invoices, charges, fees, and premiums Requests for clarification on billing statements Inquiries about payment methods and due dates \n",
" </content> \n",
"</category> \n",
"<category> \n",
" <label>Policy Administration</label>\n",
" <content> Requests for policy changes, updates, or cancellations Questions about policy renewals and reinstatements Inquiries about adding or removing coverage options \n",
" </content> \n",
"</category> \n",
"<category> \n",
" <label>Claims Assistance</label> \n",
" <content> Questions about the claims process and filing procedures Requests for help with submitting claim documentation Inquiries about claim status and payout timelines \n",
" </content> \n",
"</category> \n",
"<category> \n",
" <label>Coverage Explanations</label> \n",
" <content> Questions about what is covered under specific policy types Requests for clarification on coverage limits and exclusions Inquiries about deductibles and out-of-pocket expenses \n",
" </content> \n",
"</category> \n",
"<category> \n",
" <label>Quotes and Proposals</label> \n",
" <content> Requests for new policy quotes and price comparisons Questions about available discounts and bundling options Inquiries about switching from another insurer \n",
" </content> \n",
"</category> \n",
"<category> \n",
" <label>Account Management</label> \n",
" <content> Requests for login credentials or password resets Questions about online account features and functionality Inquiries about updating contact or personal information \n",
" </content> \n",
"</category> \n",
"<category> \n",
" <label>Billing Disputes</label> \n",
" <content> Complaints about unexpected or incorrect charges Requests for refunds or premium adjustments Inquiries about late fees or collection notices \n",
" </content> \n",
"</category> \n",
"<category> \n",
" <label>Claims Disputes</label> \n",
" <content> Complaints about denied or underpaid claims Requests for reconsideration of claim decisions Inquiries about appealing a claim outcome \n",
" </content> \n",
"</category> \n",
"<category> \n",
" <label>Policy Comparisons</label> \n",
" <content> Questions about the differences between policy options Requests for help deciding between coverage levels Inquiries about how policies compare to competitors' offerings \n",
" </content> \n",
"</category> \n",
"<category> \n",
" <label>General Inquiries</label> \n",
" <content> Questions about company contact information or hours of operation Requests for general information about products or services Inquiries that don't fit neatly into other categories \n",
" </content> \n",
"</category>\"\"\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next we will construct a classify function that does the following things:\n",
"- Defines the prompt template\n",
"- Inputs the variables in out prompt template\n",
"- Extracts a normalized response\n",
"\n",
"Notice that we leverage the `role: assistant` message and the `stop_sequences` parameter to repeatably extract the results."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"def simple_classify(X):\n",
" prompt = textwrap.dedent(\"\"\"\n",
" You will classify a customer support ticket into one of the following categories:\n",
" <categories>\n",
" {{categories}}\n",
" </categories>\n",
"\n",
" Here is the customer support ticket:\n",
" <ticket>\n",
" {{ticket}}\n",
" </ticket>\n",
"\n",
" Respond with just the label of the category between category tags.\n",
" \"\"\").replace(\"{{categories}}\", categories).replace(\"{{ticket}}\", X)\n",
" response = client.messages.create( \n",
" messages=[{\"role\":\"user\", \"content\": prompt}, {\"role\":\"assistant\", \"content\": \"<category>\"}],\n",
" stop_sequences=[\"</category>\"], \n",
" max_tokens=4096, \n",
" temperature=0.0,\n",
" model=\"claude-3-haiku-20240307\"\n",
" )\n",
" \n",
" # Extract the result from the response\n",
" result = response.content[0].text.strip()\n",
" return result\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Evaluating the simple classification method on the test set...\n",
" precision recall f1-score support\n",
"\n",
"Coverage Explanations 0.47 1.00 0.64 9\n",
" Billing Inquiries 0.44 0.67 0.53 6\n",
" Account Management 1.00 1.00 1.00 6\n",
" Billing Disputes 0.80 0.44 0.57 9\n",
"Policy Administration 0.50 0.33 0.40 6\n",
" Claims Assistance 1.00 1.00 1.00 6\n",
" Claims Disputes 1.00 1.00 1.00 9\n",
" Quotes and Proposals 1.00 0.60 0.75 5\n",
" Policy Comparisons 0.71 1.00 0.83 5\n",
" General Inquiries 1.00 0.00 0.00 7\n",
"\n",
" accuracy 0.71 68\n",
" macro avg 0.79 0.70 0.67 68\n",
" weighted avg 0.79 0.71 0.67 68\n",
"\n"
]
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(\"Evaluating the simple classification method on the test set...\")\n",
"evaluate(X_test, y_test, simple_classify)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"These results are better than random but can surely be improved! Lets add RAG with K-shot examples to the prompt.\n",
"\n",
"To do this we will need to leverage a VectorDB, this will allow us to match a given query with similar examples from the training data. These examples will hopefully help increase the accuracy of our classifier\n",
"\n",
"We will build a simple VectorDB class that leverages the embedding models created by [VoyageAI](https://docs.claude.com/en/docs/embeddings)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import numpy as np\n",
"import voyageai\n",
"import pickle\n",
"import json\n",
"\n",
"class VectorDB:\n",
" def __init__(self, api_key=None):\n",
" if api_key is None:\n",
" api_key = os.getenv(\"VOYAGE_API_KEY\")\n",
" self.client = voyageai.Client(api_key=api_key)\n",
" self.embeddings = []\n",
" self.metadata = []\n",
" self.query_cache = {}\n",
" self.db_path = \"./data/vector_db.pkl\"\n",
"\n",
" def load_data(self, data):\n",
" # Check if the vector database is already loaded\n",
" if self.embeddings and self.metadata:\n",
" print(\"Vector database is already loaded. Skipping data loading.\")\n",
" return\n",
" # Check if vector_db.pkl exists\n",
" if os.path.exists(self.db_path):\n",
" print(\"Loading vector database from disk.\")\n",
" self.load_db()\n",
" return\n",
"\n",
" texts = [item[\"text\"] for item in data]\n",
"\n",
" # Embed more than 128 documents with a for loop\n",
" batch_size = 128\n",
" result = [\n",
" self.client.embed(\n",
" texts[i : i + batch_size],\n",
" model=\"voyage-2\"\n",
" ).embeddings\n",
" for i in range(0, len(texts), batch_size)\n",
" ]\n",
"\n",
" # Flatten the embeddings\n",
" self.embeddings = [embedding for batch in result for embedding in batch]\n",
" self.metadata = [item for item in data]\n",
" self.save_db()\n",
" # Save the vector database to disk\n",
" print(\"Vector database loaded and saved.\")\n",
"\n",
" def search(self, query, k=5, similarity_threshold=0.75):\n",
" query_embedding = None\n",
" if query in self.query_cache:\n",
" query_embedding = self.query_cache[query]\n",
" else:\n",
" query_embedding = self.client.embed([query], model=\"voyage-2\").embeddings[0]\n",
" self.query_cache[query] = query_embedding\n",
"\n",
" if not self.embeddings:\n",
" raise ValueError(\"No data loaded in the vector database.\")\n",
"\n",
" similarities = np.dot(self.embeddings, query_embedding)\n",
" top_indices = np.argsort(similarities)[::-1]\n",
" top_examples = []\n",
" \n",
" for idx in top_indices:\n",
" if similarities[idx] >= similarity_threshold:\n",
" example = {\n",
" \"metadata\": self.metadata[idx],\n",
" \"similarity\": similarities[idx],\n",
" }\n",
" top_examples.append(example)\n",
" \n",
" if len(top_examples) >= k:\n",
" break\n",
" self.save_db()\n",
" return top_examples\n",
" \n",
" def save_db(self):\n",
" data = {\n",
" \"embeddings\": self.embeddings,\n",
" \"metadata\": self.metadata,\n",
" \"query_cache\": json.dumps(self.query_cache),\n",
" }\n",
" with open(self.db_path, \"wb\") as file:\n",
" pickle.dump(data, file)\n",
"\n",
" def load_db(self):\n",
" if not os.path.exists(self.db_path):\n",
" raise ValueError(\"Vector database file not found. Use load_data to create a new database.\")\n",
" \n",
" with open(self.db_path, \"rb\") as file:\n",
" data = pickle.load(file)\n",
" \n",
" self.embeddings = data[\"embeddings\"]\n",
" self.metadata = data[\"metadata\"]\n",
" self.query_cache = json.loads(data[\"query_cache\"])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can define the vector db and load our training data.\n",
"\n",
"VoyageAI has a rate limit of 3RPM for accounts without an associated credit card. For ease of demonstration we will leverage a cache."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Loading vector database from disk.\n"
]
}
],
"source": [
"vectordb = VectorDB()\n",
"vectordb.load_data(data[\"train\"])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### RAG Classification Prompt\n",
"\n",
"In this prompt we are leveraging Retrieval Augmented Generation (RAG) to insert examples from the training data that have semantically similar queries. "
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"def rag_classify(X):\n",
" rag = vectordb.search(X,5)\n",
" rag_string = \"\"\n",
" for example in rag:\n",
" rag_string += textwrap.dedent(f\"\"\"\n",
" <example>\n",
" <query>\n",
" \"{example[\"metadata\"][\"text\"]}\"\n",
" </query>\n",
" <label>\n",
" {example[\"metadata\"][\"label\"]}\n",
" </label>\n",
" </example>\n",
" \"\"\")\n",
" prompt = textwrap.dedent(\"\"\"\n",
" You will classify a customer support ticket into one of the following categories:\n",
" <categories>\n",
" {{categories}}\n",
" </categories>\n",
"\n",
" Here is the customer support ticket:\n",
" <ticket>\n",
" {{ticket}}\n",
" </ticket>\n",
"\n",
" Use the following examples to help you classify the query:\n",
" <examples>\n",
" {{examples}}\n",
" </examples>\n",
"\n",
" Respond with just the label of the category between category tags.\n",
" \"\"\").replace(\"{{categories}}\", categories).replace(\"{{ticket}}\", X).replace(\"{{examples}}\", rag_string)\n",
" response = client.messages.create( \n",
" messages=[{\"role\":\"user\", \"content\": prompt}, {\"role\":\"assistant\", \"content\": \"<category>\"}],\n",
" stop_sequences=[\"</category>\"], \n",
" max_tokens=4096, \n",
" temperature=0.0,\n",
" model=\"claude-3-haiku-20240307\"\n",
" )\n",
" \n",
" # Extract the result from the response\n",
" result = response.content[0].text.strip()\n",
" return result"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Evaluating the RAG method on the test set...\n",
" precision recall f1-score support\n",
"\n",
"Coverage Explanations 0.75 1.00 0.86 9\n",
" Billing Inquiries 1.00 0.67 0.80 6\n",
" Account Management 1.00 1.00 1.00 6\n",
" Billing Disputes 0.82 1.00 0.90 9\n",
"Policy Administration 1.00 1.00 1.00 6\n",
" Claims Assistance 1.00 1.00 1.00 6\n",
" Claims Disputes 1.00 1.00 1.00 9\n",
" Quotes and Proposals 1.00 1.00 1.00 5\n",
" Policy Comparisons 1.00 1.00 1.00 5\n",
" General Inquiries 1.00 0.57 0.73 7\n",
"\n",
" accuracy 0.93 68\n",
" macro avg 0.96 0.92 0.93 68\n",
" weighted avg 0.94 0.93 0.92 68\n",
"\n"
]
},
{
"data": {
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",
"text/plain": [
"<Figure size 800x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(\"Evaluating the RAG method on the test set...\")\n",
"evaluate(X_test, y_test, rag_classify)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### RAG Classification with Chain of Thought Prompt\n",
"\n",
"This prompt will build on the previous, by allowing Claude to reflect on the results we can improve the accuracy of the classification."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"def rag_chain_of_thought_classify(X):\n",
" rag = vectordb.search(X,5)\n",
" rag_string = \"\"\n",
" for example in rag:\n",
" rag_string += textwrap.dedent(f\"\"\"\n",
" <example>\n",
" <query>\n",
" \"{example[\"metadata\"][\"text\"]}\"\n",
" </query>\n",
" <label>\n",
" {example[\"metadata\"][\"label\"]}\n",
" </label>\n",
" </example>\n",
" \"\"\")\n",
" prompt = textwrap.dedent(\"\"\"\n",
" You will classify a customer support ticket into one of the following categories:\n",
" <categories>\n",
" {{categories}}\n",
" </categories>\n",
"\n",
" Here is the customer support ticket:\n",
" <ticket>\n",
" {{ticket}}\n",
" </ticket>\n",
"\n",
" Use the following examples to help you classify the query:\n",
" <examples>\n",
" {{examples}}\n",
" </examples>\n",
"\n",
" First you will think step-by-step about the problem in scratchpad tags.\n",
" You should consider all the information provided and create a concrete argument for your classification.\n",
" \n",
" Respond using this format:\n",
" <response>\n",
" <scratchpad>Your thoughts and analysis go here</scratchpad>\n",
" <category>The category label you chose goes here</category>\n",
" </response>\n",
" \"\"\").replace(\"{{categories}}\", categories).replace(\"{{ticket}}\", X).replace(\"{{examples}}\", rag_string)\n",
" response = client.messages.create( \n",
" messages=[{\"role\":\"user\", \"content\": prompt}, {\"role\":\"assistant\", \"content\": \"<response><scratchpad>\"}],\n",
" stop_sequences=[\"</category>\"], \n",
" max_tokens=4096, \n",
" temperature=0.0,\n",
" model=\"claude-3-haiku-20240307\"\n",
" )\n",
" \n",
" # Extract the result from the response\n",
" result = response.content[0].text.split(\"<category>\")[1].strip()\n",
" return result"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Evaluating the RAG method with Chain of Thought on the test set...\n",
" precision recall f1-score support\n",
"\n",
"Coverage Explanations 0.82 1.00 0.90 9\n",
" Billing Inquiries 1.00 0.67 0.80 6\n",
" Account Management 1.00 1.00 1.00 6\n",
" Billing Disputes 0.82 1.00 0.90 9\n",
"Policy Administration 1.00 1.00 1.00 6\n",
" Claims Assistance 1.00 1.00 1.00 6\n",
" Claims Disputes 1.00 1.00 1.00 9\n",
" Quotes and Proposals 1.00 1.00 1.00 5\n",
" Policy Comparisons 1.00 1.00 1.00 5\n",
" General Inquiries 1.00 0.71 0.83 7\n",
"\n",
" accuracy 0.94 68\n",
" macro avg 0.96 0.94 0.94 68\n",
" weighted avg 0.95 0.94 0.94 68\n",
"\n"
]
},
{
"data": {
"image/png": 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TTz/hwIEDOHjwIOrXr6/0LxDA6/ZRxfnz55GWlgYAuHTpkkrnElHFws48EZEIdOzYEbdu3cLJkyffWbZWrVrIz8/HjRs3FPbfv38f6enp8ifTlIXKlSsrPPml0Nuj/wCgoaGB1q1bY+HChbh69SrmzJmDw4cPIzo6uthrF+ZMSEgocuzatWuoWrUq9PT0PuwGStCrVy+cP38eT58+LXbRcKFff/0VLVu2RHh4OHr06IEvvvgCbdq0KdImZTla9+zZM/Tv3x/16tXD4MGDMX/+fJw+fbrMrk8kapKPYFMzduaJiERg0qRJ0NPTw6BBg3D//v0ix2/duoUlS5YAeD1NBECRJ84sXLgQANChQ4cyy1WnTh1kZGTg4sWL8n0pKSnYuXOnQrnHjx8XObfw5UlvPy6zkIWFBVxcXLBhwwaFzvHly5fx559/yu+zPLRs2RKzZs3C8uXLYW5uXmI5TU3NIqP+27dvx7///quwr/BLR3FffFQ1efJkJCUlYcOGDVi4cCGsra3h6+tbYjsSUcXGp9kQEYlAnTp1sGXLFnTv3h2Ojo4Kb4A9ceIEtm/fDj8/PwBAgwYN4Ovrix9//BHp6enw9PREbGwsNmzYgM6dO5f42MP30aNHD0yePBldunTB6NGjkZ2djbCwMNStW1dhAWhISAiOHj2KDh06oFatWkhLS8PKlStRo0YNfP755yVe//vvv4e3tzeaNGmCgQMH4vnz51i2bBmMjIwQFBRUZvfxNg0NDUybNu2d5Tp27IiQkBD0798fTZs2xaVLl7B582bY2NgolKtTpw6MjY2xatUqGBgYQE9PD59++ilq166tUq7Dhw9j5cqVmDlzpvxRmevXr0eLFi0wffp0zJ8/X6XrEZH4sTNPRCQSX375JS5evIjvv/8ev//+O8LCwiCVSuHs7IwffvgB/v7+8rJr166FjY0NIiIisHPnTpibmyMwMBAzZ84s00xVqlTBzp07MX78eEyaNAm1a9dGaGgobty4odCZ//LLL5GYmIh169bh4cOHqFq1Kjw9PREcHAwjI6MSr9+mTRvs378fM2fOxIwZM1CpUiV4enriu+++U7kjXB6+/fZbPHv2DFu2bMEvv/wCNzc37NmzB1OmTFEoV6lSJWzYsAGBgYEYOnQocnNzsX79epXu4enTpxgwYABcXV0xdepU+f5mzZphzJgx+OGHH/DVV1/hs88+K7P7IxIboRahvhFA/VUWqLIqiIiIiIjoI5OZmQkjIyPodl4JSSXVFpSXpYJXz5G9azgyMjLkTyIrbxyZJyIiIqIK4b84Ms8FsEREREREIsXOPBERERGRSHGaDRERERFVCJxmQ0REREREosHOPBERERGRSHGaDVEJ8vPzce/ePRgYGAj7kx0REZGIFBQU4OnTp7C0tISGhnrHjf+L02zYmScqwb1792BlZSV0DCIiIlFKTk5GjRo1hI5R4bEzT1QCAwMDAIB2PV9INLUFTqOapJgFQkcgIqL/qKeZmbCtbSX/d1StJP+/CUWAutmZJypB4c90Ek1t0XXm1fXWOSIiopJwiqp6cAEsEREREZFIcWSeiIiIiCqE/+ICWI7MExERERGJFDvzREREREQixWk2RERERFQhSCQCL7wVoGqOzBMRERERiRRH5omIiIioQpBA4AWwAgzNc2SeiIiIiEik2JknIiIiIhIpTrMhIiIiogqBz5knIiIiIiLR4Mg8EREREVUMEgjyeEiF+tWMI/NERERERCLFzjwRERERkUhxmg0RERERVQwCL4At4AJYUrcWLVpg7NixQscAAERERMDY2FjoGOVOX1eK7wO+RsLeEDw+uRDREePhXq+m0LGUsmrlCtjbWsNYXwfNmn6K07GxQkdSilhzA+LNLtbcgHizM7f6iTW7WHNT8QTvzKempmLUqFGwsbGBVCqFlZUVfHx8EBUVJXQ0QQUFBckfr/Tm5uDgIHS0MmFtbY3Fixcr7OvevTuuX78uTCA1CpvRC60+c8CAaRvQsNtcHDp5DXtWjYKlqZHQ0Uq1fdsvmDxxPKZOm4mTsefg7NwAX3bwQlpamtDRSiXW3IB4s4s1NyDe7MytfmLNLtbcVDJBO/OJiYlwd3fH4cOH8f333+PSpUvYv38/WrZsiREjRggZDS9fvhS0fgCoX78+UlJSFLZjx44JHavcyGQyVKtWTegY5UpHWgmdW7tg6uJdOH7uFm4nP8Sc1XtxK/kB/Ls2EzpeqZYuXoj+A/3Rz68/HOvVw7KVqyDT1cWGiHVCRyuVWHMD4s0u1tyAeLMzt/qJNbtYcyuruIFQdW/qJmhnfvjw4ZBIJIiNjcXXX3+NunXron79+hg/fjxOnTolL5eUlIROnTpBX18fhoaG6NatG+7fvw8AuH79OiQSCa5du6Zw7UWLFqFOnTryz5cvX4a3tzf09fVhZmaGvn374uHDh/LjLVq0wMiRIzF27FhUrVoVXl5eAICFCxfCyckJenp6sLKywvDhw5GVlaVQ15o1a2BlZQVdXV106dIFCxcuLDJd5Pfff4ebmxt0dHRgY2OD4OBg5Obmlto+WlpaMDc3V9iqVq0KALh27Rp0dXWxZcsWeflt27ZBJpPh6tWrAAA/Pz907twZwcHBMDU1haGhIYYOHVrqF5VNmzahYcOGMDAwgLm5OXr16qXwbT0mJgYSiQRRUVFo2LAhdHV10bRpUyQkJMjL3Lp1C506dYKZmRn09fXRqFEjHDp0SKGt7969i3Hjxin8h1/cNJuwsDDUqVMH2trasLe3x6ZNmxSOSyQSrF27Fl26dIGuri7s7Oywe/du+fEnT56gd+/eMDU1hUwmg52dHdavX19qu5cnLU0NaGlp4sXLVwr7X+S8QlPXOiWcJbyXL1/i/LmzaNW6jXyfhoYGWrVqg9hTJwVMVjqx5gbEm12suQHxZmdu9RNrdrHmptIJ1pl//Pgx9u/fjxEjRkBPT6/I8cJOXX5+Pjp16oTHjx/jyJEjOHjwIG7fvo3u3bsDAOrWrYuGDRti8+bNCudv3rwZvXr1AgCkp6ejVatWcHV1xZkzZ7B//37cv38f3bp1Uzhnw4YN0NbWxvHjx7Fq1SoAr/8jX7p0Ka5cuYINGzbg8OHDmDRpkvyc48ePY+jQoRgzZgzi4uLQtm1bzJkzR+G6f/31F/r164cxY8bg6tWrWL16NSIiIoqUU4WDgwMWLFiA4cOHIykpCf/88w+GDh2K7777DvXq1ZOXi4qKQnx8PGJiYvDzzz/jt99+Q3BwcInXffXqFWbNmoULFy5g165dSExMhJ+fX5FyU6dOxQ8//IAzZ85AS0sLAwYMkB/LyspC+/btERUVhfPnz6Ndu3bw8fFBUlISAOC3335DjRo1EBISIv/FoTg7d+7EmDFjMGHCBFy+fBlDhgxB//79ER0drVAuODgY3bp1w8WLF9G+fXv07t0bjx8/BgBMnz4dV69exb59+xAfH4+wsDD5F6K35eTkIDMzU2Era1nZOTh14TYC/b1hYWoEDQ0JerRvhE+da8O8qmGZ11dWHj58iLy8PFSrZqawv5qZGVJTUwVK9W5izQ2IN7tYcwPizc7c6ifW7GLNrQqhR+WFGJkX7Gk2N2/eREFBwTvngEdFReHSpUu4c+cOrKysAAAbN25E/fr1cfr0aTRq1Ai9e/fG8uXLMWvWLACvR+vPnj2Ln376CQCwfPlyuLq6Yu7cufLrrlu3DlZWVrh+/Trq1q0LALCzs8P8+fMV6n9zcai1tTVmz56NoUOHYuXKlQCAZcuWwdvbGwEBAQBef7k4ceIEIiMj5ecFBwdjypQp8PX1BQDY2Nhg1qxZmDRpEmbOnFnivV+6dAn6+voK+/r06SP/ojF8+HDs3bsXffr0gba2Nho1aoRRo0YplNfW1sa6deugq6uL+vXrIyQkBBMnTsSsWbOgoVH0u9ybnXIbGxssXboUjRo1QlZWlkKWOXPmwNPTEwAwZcoUdOjQAS9evICOjg4aNGiABg0ayMvOmjULO3fuxO7duzFy5EiYmJhAU1NTPvpfkgULFsDPzw/Dhw8HAPkvNgsWLEDLli3l5fz8/NCzZ08AwNy5c7F06VLExsaiXbt2SEpKgqurKxo2bAjg9d9hSUJDQ0v9olNWBkzbiNVBvXH7zznIzc1D3LVkbNt/Bq6O4lgES0RERB8PwUbmCwoKlCoXHx8PKysreUceAOrVqwdjY2PEx8cDAHr06IHExET51JzNmzfDzc1N/kXhwoULiI6Ohr6+vnwrPHbr1i35dd3d3YvUf+jQIbRu3RrVq1eHgYEB+vbti0ePHiE7OxsAkJCQgMaNGyuc8/bnCxcuICQkRKF+f39/pKSkyK9THHt7e8TFxSlsISEhCmXWrVuHixcv4ty5c4iIiCjyjbBBgwbQ1dWVf27SpAmysrKQnJxcbJ1nz56Fj48PatasCQMDA3mHvXBUvZCzs7P8zxYWFgAgn46TlZWFgIAAODo6wtjYGPr6+oiPjy9yjXeJj4+Hh4eHwj4PDw/533txWfT09GBoaCjPMmzYMGzduhUuLi6YNGkSTpw4UWJ9gYGByMjIkG8ltdGHuvPPQ3wxaAmqNBkPO+/paNZ3ASppaeLOvw/ffbJAqlatCk1NTaSl3VfYn3b/fqlfyIQm1tyAeLOLNTcg3uzMrX5izS7W3FQ6wTrzdnZ2xc51fx/m5uZo1aqVfP74li1b0Lt3b/nxrKws+Pj4FOkY37hxA82bN5eXe3u6T2JiIjp27AhnZ2fs2LEDZ8+exYoVKwCotkA2KysLwcHBCnVfunQJN27cgI6OTonnaWtrw9bWVmF7e4HohQsX8OzZMzx79qzE6SrKevbsGby8vGBoaIjNmzfj9OnT2LlzJ4Ci91upUiX5nwu/QOTn5wMAAgICsHPnTsydOxd//fUX4uLi4OTkVG6Lit/MUpinMIu3t7d8fv69e/fQunVr+a8ob5NKpTA0NFTYylP2i5dIfZgJYwMZ2jR1RGTMpXKt70Noa2vD1c0d0Yf/95Sp/Px8REdHofFnTQRMVjqx5gbEm12suQHxZmdu9RNrdrHmVonkI9jUTLBpNiYmJvDy8sKKFSswevToIh3p9PR0GBsbw9HREcnJyUhOTpaPzl+9ehXp6ekKc8N79+6NSZMmoWfPnrh9+zZ69OghP+bm5oYdO3bA2toaWlrK3/LZs2eRn5+PH374QT4lZdu2bQpl7O3tcfr0aYV9b392c3NDQkICbG1tla5bGY8fP4afnx+mTp2KlJQU9O7dG+fOnYNMJpOXuXDhAp4/fy7fd+rUKejr6yv80lHo2rVrePToEebNmyc/fubMGZVzHT9+HH5+fujSpQuA119mEhMTFcpoa2sjLy+v1Os4Ojri+PHj8ulJhdd+8+9dGaampvD19YWvry+aNWuGiRMnYsGCBSpdoyy1aeIIiQS4npiGOlammDuuM67fuY+Nuz/uxUejx46H/wBfuLs3RMNGjbF86WJkP3uGfr79hY5WKrHmBsSbXay5AfFmZ271E2t2seamkgn6BtgVK1bAw8MDjRs3RkhICJydnZGbm4uDBw8iLCwM8fHxaNOmDZycnNC7d28sXrwYubm5GD58ODw9PeXzoAHgq6++wrBhwzBs2DC0bNkSlpaW8mMjRozAmjVr0LNnT0yaNAkmJia4efMmtm7dirVr10JTU7PYfLa2tnj16hWWLVsGHx8fhYWxhUaNGoXmzZtj4cKF8PHxweHDh7Fv3z6F6S4zZsxAx44dUbNmTXzzzTfQ0NDAhQsXcPnyZcyePbvE9snNzS2yIEUikcDM7PXClaFDh8LKygrTpk1DTk4OXF1dERAQIP/1AHg9oj5w4EBMmzYNiYmJmDlzJkaOHFnsfPmaNWtCW1sby5Ytw9ChQ3H58mX5OgRV2NnZ4bfffoOPjw8kEgmmT58uHykvZG1tjaNHj6JHjx6QSqXFLkqdOHEiunXrBldXV7Rp0wZ//PEHfvvtN4Un47zLjBkz4O7ujvr16yMnJweRkZFwdHRU+Z7KkpG+DkJGfYnqZsZ4nJGN36PiMHPFH8jNzX/3yQLq2q07Hj54gJDgGbifmgrnBi74PXK//L/Hj5VYcwPizS7W3IB4szO3+ok1u1hzU8kkBcpOXi8nKSkpmDNnDiIjI5GSkgJTU1O4u7tj3LhxaNGiBYDX87VHjRqFqKgoaGhooF27dli2bFmR//C6d++Obdu2Yd26dejfX/Eb5o0bNzB58mRER0cjJycHtWrVQrt27bBw4UJIJBK0aNECLi4uRV5ktGjRInz//fdIT09H8+bN0bt3b/Tr1w9PnjyRP3FnzZo1CA4OxuPHj+Hl5YWGDRti+fLlCtNeDhw4gJCQEJw/fx6VKlWCg4MDBg0aBH9//2LbJSgoqNjFmFKpFC9evMDGjRsxfPhwnD9/HnZ2dgCA2NhYfP755/j999/h7e0NPz8/pKeno0GDBlixYgVycnLQs2dPLFu2DFKpFACK3PfPP/+Mb7/9FikpKXBzc0NgYCC+/PJLnD9/Hi4uLoiJiUHLli0V7j8uLg6urq64c+cOrK2tkZiYiAEDBuDUqVOoWrUqJk+ejO3btyvUc+rUKQwZMgQJCQnIyclBQUEBIiIiMHbsWKSnp8vvNywsDAsWLEBycjJq166NadOmoW/fvvLjEokEO3fuROfOneX7jI2NsXjxYvj5+WH27NnYsmULEhMTIZPJ0KxZMyxatAi1a9cutt3flJmZCSMjI0id/CHR1H5n+Y/Jk9PLhY5ARET/UZmZmTCrYoSMjIxyn7L6Zp1GRkao2jcCGtq67z6hnOS/zMbDTX5qvXfBO/MVkb+/P65du4a//vpL0ByFnfldu3YJmkOs2JknIiJSHTvz6u3MCzrNpqJYsGAB2rZtCz09Pezbtw8bNmyQP7qSiIiIiNRDqGe9v1m/urEzXwZiY2Mxf/58PH36VP5s9kGDBgkdi4iIiIgqOHbmy8DbT7j5WERERAgdgYiIiIjKETvzRERERFQh/Ben2Qj20igiIiIiIvowHJknIiIiogqBI/NERERERCQa7MwTEREREYkUp9kQERERUcUg+f9NyPrVjCPzREREREQixc48EREREZFIsTNPRERERBVC4dNshNyUZW1tXez5I0aMUOmeOWeeiIiIiEjNTp8+jby8PPnny5cvo23btujatatK12FnnoiIiIgqBDE9Z97U1FTh87x581CnTh14enqqVCen2RARERERCejly5f46aefMGDAAJW/jHBknugdkmIWwNDQUOgYKvk++qbQEd7bxJa2Qkd4L5eTM4SO8N4+sTISOgIRUYWSmZmp8FkqlUIqlZZYfteuXUhPT4efn5/KdXFknoiIiIgqBKEXvxaOqltZWcHIyEi+hYaGlpo7PDwc3t7esLS0VPmeOTJPRERERFSGkpOTFX7VL21U/u7duzh06BB+++2396qLnXkiIiIiojJkaGio9BTd9evXo1q1aujQocN71cXOPBERERFVDJL/34SsXwX5+flYv349fH19oaX1ft1yzpknIiIiIhLAoUOHkJSUhAEDBrz3NTgyT0REREQVgpieMw8AX3zxBQoKCj6oTo7MExERERGJFDvzREREREQixWk2RERERFQhiG2aTVngyDwRERERkUhxZJ6IiIiIKgQJBB6ZF+C5mByZJyIiIiISKXbmiYiIiIhEitNsiIiIiKhC4AJYIiIiIiISDXbmiYiIiIhEitNsiIiIiKhikPz/JmT9asaReSIiIiIikWJnXiCJiYmQSCSIi4sDAMTExEAikSA9PR0AEBERAWNjY3n5oKAguLi4qD2nurx9/yXx8/ND586d1ZKpPK1auQL2ttYw1tdBs6af4nRsrNCRVHJ062rM+MIOe8NmCx1FKWJs7/UrF6Jfp5bwdKqBLxrZImBILyTeviF0LKWJsc0LiTU7c6ufWLOLNbcyChfACrmpGzvz5cDPz0/hL7VKlSpo164dLl68KC9jZWWFlJQUfPLJJ0pdMyAgAFFRUeUVWU6oLw1NmzZFSkoKjIyMSi23ZMkSREREqCdUOdm+7RdMnjgeU6fNxMnYc3B2boAvO3ghLS1N6GhK+TfhIs7s2QozGwehoyhFrO19LvY4uvYdhHU7DmL5xp3IfZWLUf264Hn2M6GjvZNY2xwQb3bmVj+xZhdrbioZO/PlpF27dkhJSUFKSgqioqKgpaWFjh07yo9ramrC3NwcWlrKLVvQ19dHlSpVyiuu4LS1tWFubl7iN9q8vDzk5+fDyMhI4RcLMVq6eCH6D/RHP7/+cKxXD8tWroJMVxcbItYJHe2dcp4/w6/zJqDTuNmQ6RsKHUcpYm3vZRE74PNNb9Sp64i6jk6Y+f1KpN77B/GX44SO9k5ibXNAvNmZW/3Eml2sualk7MyXE6lUCnNzc5ibm8PFxQVTpkxBcnIyHjx4AKDoNJt3eXvEvHC6yYIFC2BhYYEqVapgxIgRePXqlbxMSkoKOnToAJlMhtq1a2PLli2wtrbG4sWLlb4PZepJS0uDj4+PvJ7Nmzcr1FPcvaanp0MikSAmJgZAydOMdu/ejXr16kEqlSIpKanINJv8/HyEhoaidu3akMlkaNCgAX799Vf58SdPnqB3794wNTWFTCaDnZ0d1q9fr/T9l7WXL1/i/LmzaNW6jXyfhoYGWrVqg9hTJwXLpaw9y4JRt3EL1HHzEDqKUsTe3m/KepoJADA0qixwktKJuc3Fmp251U+s2cWaWxVCT7ERYpoNn2ajBllZWfjpp59ga2tbpqPr0dHRsLCwQHR0NG7evInu3bvDxcUF/v7+AIB+/frh4cOHiImJQaVKlTB+/Pj3+hntXfX4+fnh3r17iI6ORqVKlTB69Ogy+bkuOzsb3333HdauXYsqVaqgWrVqRcqEhobip59+wqpVq2BnZ4ejR4+iT58+MDU1haenJ6ZPn46rV69i3759qFq1Km7evInnz59/cLb39fDhQ+Tl5aFaNTOF/dXMzJCQcE2gVMq5FB2JezevYMjy34SOojQxt/eb8vPzsXBWIBq4fwZb+3pCxymVmNtcrNmZW/3Eml2sual07MyXk8jISOjr6wMAnj17BgsLC0RGRkJDo+x+DKlcuTKWL18OTU1NODg4oEOHDoiKioK/vz+uXbuGQ4cO4fTp02jYsCEAYO3atbCzsyvTeq5fv459+/YhNjYWjRo1AgCEh4fD0dHxg+/v1atXWLlyJRo0aFDs8ZycHMydOxeHDh1CkyZNAAA2NjY4duwYVq9eDU9PTyQlJcHV1VXeBtbW1iXWl5OTg5ycHPnnzMzMD76HiiIjLQV7w2bDd14EKmlLhY7znzN/RgBuXb+KNdv2Cx2FiIg+MuzMl5OWLVsiLCwMwOupHitXroS3tzdiY2NRq1atMqmjfv360NTUlH+2sLDApUuXAAAJCQnQ0tKCm5ub/LitrS0qV1b9J/rS6omPj4eWlhbc3d3lxx0cHMpkXru2tjacnZ1LPH7z5k1kZ2ejbdu2CvtfvnwJV1dXAMCwYcPw9ddf49y5c/jiiy/QuXNnNG3atNjrhYaGIjg4+INzl6Zq1arQ1NREWtp9hf1p9+/D3Ny8XOv+EPduXMaz9EdYNbyzfF9+fh7uXjqN2N9/wow9V6Dxxn8jHwuxtveb5s+ciL+iD+DHrXtgZlFd6DjvJOY2F2t25lY/sWYXa25VSCSvNyHrVzfOmS8nenp6sLW1ha2tLRo1aoS1a9fi2bNnWLNmTZnVUalSJYXPEokE+fn5ZXb9sqqn8NeIgoIC+b4359yXRCaTlTr3LCsrCwCwZ88exMXFyberV6/K5817e3vj7t27GDduHO7du4fWrVsjICCg2OsFBgYiIyNDviUnJyt9j8rS1taGq5s7og//78lE+fn5iI6OQuPPmpR5fWXFxrUJRqzeg2Fhu+WbZV0nOLf6EsPCdn+UHXlAvO0NvP7fy/yZExHzZyTCftqN6lbWQkdSipjbXKzZmVv9xJpdrLmpdByZVxOJRAINDQ21zde2t7dHbm4uzp8/Lx81v3nzJp48eVKm9Tg4OCA3Nxdnz56VT7NJSEhQeF68qakpgNcLcgtHzJVd+FuaNxfGenp6lljO1NQUvr6+8PX1RbNmzTBx4kQsWLCgSDmpVAqptPynkIweOx7+A3zh7t4QDRs1xvKli5H97Bn6+fYv97rfl1RXH2a16yrs09aRQWZoXGT/x0aM7Q0A380IwIHd27Hgxy3Q1dfHwwevR9L0DQyhoyMTOF3pxNrmgHizM7f6iTW7WHMr6/XIvHBD80JUzc58OcnJyUFqaiqA19Nsli9fjqysLPj4+KilfgcHB7Rp0waDBw9GWFgYKlWqhAkTJrxztFtV9vb2aNeuHYYMGYKwsDBoaWlh7NixkMn+19mQyWT47LPPMG/ePNSuXRtpaWmYNm3aB9dtYGCAgIAAjBs3Dvn5+fj888+RkZGB48ePw9DQEL6+vpgxYwbc3d1Rv3595OTkIDIyskzm83+Irt264+GDBwgJnoH7qalwbuCC3yP3w8zM7N0nk8rE2t47NocDAIb27Kiwf8b8FfD5prcQkZQm1jYHxJududVPrNnFmptKxs58Odm/fz8sLCwAvO50Ojg4YPv27WjRooXaMmzcuBEDBw5E8+bNYW5ujtDQUFy5cgU6OjplWs/69esxaNAgeHp6wszMDLNnz8b06dMVyqxbtw4DBw6Eu7s77O3tMX/+fHzxxRcfXPesWbNgamqK0NBQ3L59G8bGxnBzc8O3334L4PVPioGBgUhMTIRMJkOzZs2wdevWD673Qw0bMRLDRowUOsYHGbBgs9ARlCbG9j59O13oCB9EjG1eSKzZmVv9xJpdrLmpeJKCNycyU4X2zz//wMrKCocOHULr1q3LtS5ra2uMHTsWY8eOLdd6ylNmZiaMjIxw/1EGDA3F8YKkQt9H3xQ6wnub2NJW6Ajv5XJyhtAR3tsnVqW/eZmISBWZmZkwq2KEjAz1/ftZ+G+2zehfoSnVU0udxcnLeYbbS79R671zZL4CO3z4MLKysuDk5ISUlBRMmjQJ1tbWaN68udDRiIiIiKgMsDNfgb169Qrffvstbt++DQMDAzRt2hSbN28u8nQaIiIioopAqLewvlm/urEzX4F5eXnBy8tLkLoTExMFqZeIiIjov4TPmSciIiIiEimOzBMRERFRhcA3wBIRERERkWiwM09EREREJFKcZkNEREREFYKGhgQaGsLNsykQoG6OzBMRERERiRRH5omIiIioQuACWCIiIiIiEg125omIiIiIRIrTbIiIiIioQpBIJJAIOM9GiLo5Mk9EREREJFLszBMRERERiRSn2RARERFRhfBffJoNO/NEFdDElrZCR3hvLRYcETrCe4kJ8BQ6AhER/QexM09EREREFQIXwBIRERERkWiwM09EREREJFKcZkNEREREFQKn2RARERERkWhwZJ6IiIiIKoT/4qMpOTJPRERERCRS7MwTEREREYkUp9kQERERUYUggcALYMEFsEREREREpCR25omIiIiIRIrTbIiIiIioQuDTbIiIiIiISDQ4Mk9EREREFQLfAEtERERERKLBzjwRERERkUhxmg0RERERVQhcAEtEarFq5QrY21rDWF8HzZp+itOxsUJHUooYc5vqayOoowMOjGmKmAmf46cB7nAw1xc6ltLE2OaAeHMD4s3O3Oon1uxizU3FY2eeSM22b/sFkyeOx9RpM3Ey9hycnRvgyw5eSEtLEzpaqcSY20CqhR/7uiI3vwDjtl1Cz7VnsPTwbTx9kSt0NKWIsc0B8eYGxJududVPrNnFmptKJorO/MmTJ6GpqYkOHToIHeW9xMTEQCKRID09XalylStXxosXLxSOnT59WvAV2mKlbPury9LFC9F/oD/6+fWHY716WLZyFWS6utgQsU7oaKUSY+6+n1nhfmYOZu9NwNWUp0jJeIHYxCf4N/3Fu0/+CIixzQHx5gbEm5251U+s2cWaW1mFfSUhN3UTRWc+PDwco0aNwtGjR3Hv3j2h45Q7AwMD7Ny5U2FfeHg4atasKVAiKisvX77E+XNn0ap1G/k+DQ0NtGrVBrGnTgqYrHRizd3MrgriU59iTud62DuqCTb0d0OnBuZCx1KKWNtcrLkB8WZnbvUTa3ax5qbSffSd+aysLPzyyy8YNmwYOnTogIiIiCJl/vjjDzRq1Ag6OjqoWrUqunTpIj+Wk5ODyZMnw8rKClKpFLa2tggPD5cfP3LkCBo3bgypVAoLCwtMmTIFubn/+wne2toaixcvVqjPxcUFQUFB8s8SiQRr165Fly5doKurCzs7O+zevRsAkJiYiJYtWwIAKleuDIlEAj8/v1Lv2dfXF+vW/e8b8vPnz7F161b4+voqlHv06BF69uyJ6tWrQ1dXF05OTvj5558VyrRo0QKjR4/GpEmTYGJiAnNzc4XsALBw4UI4OTlBT08PVlZWGD58OLKyshTKrFmzBlZWVtDV1UWXLl2wcOFCGBsbK5T5/fff4ebmBh0dHdjY2CA4OFihLSUSCVavXo2OHTtCV1cXjo6OOHnyJG7evIkWLVpAT08PTZs2xa1bt1S+blm2f3l6+PAh8vLyUK2amcL+amZmSE1NFSjVu4k1t6WxDF+5WiL58XOM3XYJv51Lwbg2tmj/idm7TxaYWNtcrLkB8WZnbvUTa3ax5lZF4QJYITd1++g789u2bYODgwPs7e3Rp08frFu3DgUFBfLje/bsQZcuXdC+fXucP38eUVFRaNy4sfx4v3798PPPP2Pp0qWIj4/H6tWroa//evHbv//+i/bt26NRo0a4cOECwsLCEB4ejtmzZ6ucMzg4GN26dcPFixfRvn179O7dG48fP4aVlRV27NgBAEhISEBKSgqWLFlS6rX69u2Lv/76C0lJSQCAHTt2wNraGm5ubgrlXrx4AXd3d+zZsweXL1/G4MGD0bdvX8S+tZBlw4YN0NPTw99//4358+cjJCQEBw8elB/X0NDA0qVLceXKFWzYsAGHDx/GpEmT5MePHz+OoUOHYsyYMYiLi0Pbtm0xZ84chTr++usv9OvXD2PGjMHVq1exevVqREREFCk3a9Ys9OvXD3FxcXBwcECvXr0wZMgQBAYG4syZMygoKMDIkSNVvm5ZtH9OTg4yMzMVNhI3DQmQkPoUq47ewfX7Wfj9Qgp2X0hBF1dLoaMRERGViY++Mx8eHo4+ffoAANq1a4eMjAwcOXJEfnzOnDno0aMHgoOD4ejoiAYNGiAwMBAAcP36dWzbtg3r1q1Dly5dYGNjg9atW6N79+4AgJUrV8LKygrLly+Hg4MDOnfujODgYPzwww/Iz89XKaefnx969uwJW1tbzJ07F1lZWYiNjYWmpiZMTEwAANWqVYO5uTmMjIxKvVa1atXg7e0t/xVi3bp1GDBgQJFy1atXR0BAAFxcXGBjY4NRo0ahXbt22LZtm0I5Z2dnzJw5E3Z2dujXrx8aNmyIqKgo+fGxY8eiZcuWsLa2RqtWrTB79myFayxbtgze3t4ICAhA3bp1MXz4cHh7eyvUERwcjClTpsDX1xc2NjZo27YtZs2ahdWrVyuU69+/P7p164a6deti8uTJSExMRO/eveHl5QVHR0eMGTMGMTExKl+3LNo/NDQURkZG8s3KyqqEv6H3V7VqVWhqaiIt7b7C/rT792Fu/vFO/xBr7odZL5H4KFthX+KjbJgZSgVKpDyxtrlYcwPizc7c6ifW7GLNXZH9+++/6NOnD6pUqQKZTAYnJyecOXNGpWt81J35hIQExMbGomfPngAALS0tdO/eXWGaTFxcHFq3bl3s+XFxcdDU1ISnp2exx+Pj49GkSROFxQoeHh7IysrCP//8o1JWZ2dn+Z/19PRgaGj4QSvDBwwYgIiICNy+fRsnT55E7969i5TJy8vDrFmz4OTkBBMTE+jr6+PAgQPyEf3isgGAhYWFQrZDhw6hdevWqF69OgwMDNC3b188evQI2dmvO0EJCQkKv3YAKPL5woULCAkJgb6+vnzz9/dHSkqK/DpvZzEze/0zn5OTk8K+Fy9eyEfF3+e679v+gYGByMjIkG/Jyckqna8MbW1tuLq5I/rw/75M5efnIzo6Co0/a1Lm9ZUVsea++E8GaproKuyzMtFFasbHvwBWrG0u1tyAeLMzt/qJNbtYc6tC6MWvqiyAffLkCTw8PFCpUiXs27cPV69exQ8//IDKlSurdM8f9UujwsPDkZubC0vL//0kXlBQAKlUiuXLl8PIyAgymazE80s7piwNDQ2FaT0A8OrVqyLlKlWqpPBZIpGoPLr/Jm9vbwwePBgDBw6Ej48PqlSpUqTM999/jyVLlmDx4sXyOe9jx47Fy5cvlc6WmJiIjh07YtiwYZgzZw5MTExw7NgxDBw4EC9fvoSurmJHqCRZWVkIDg7GV199VeSYjo5OsVkK/4Mvbl9hvve57tv3qCypVAqptPxHbEePHQ//Ab5wd2+Iho0aY/nSxch+9gz9fPuXe90fQoy5t57+F2v6usC3SU1ExaehnqUhOjewwLz914WOphQxtjkg3tyAeLMzt/qJNbtYc1dE3333HaysrLB+/Xr5vtq1a6t8nY+2M5+bm4uNGzfihx9+wBdffKFwrHPnzvj5558xdOhQODs7IyoqCv37F/2P0MnJCfn5+Thy5AjatGlT5LijoyN27NiBgoICeSfy+PHjMDAwQI0aNQAApqamSElJkZ+TmZmJO3fuqHQv2traAF6PpCtLS0sL/fr1w/z587Fv375iyxw/fhydOnWST0PKz8/H9evXUa9ePaXrOXv2LPLz8/HDDz9AQ+P1DzVvT9Oxt7fH6dOnFfa9/dnNzQ0JCQmwtbVVum5llMV136f9y1PXbt3x8MEDhATPwP3UVDg3cMHvkfvlv1R8rMSYOz71KSb/dgXDPGtjgEctpKQ/x+KomzhwVRzPUxZjmwPizQ2INztzq59Ys4s1t9IEfgMs/r/ut9fdFTdguHv3bnh5eaFr1644cuQIqlevjuHDh8Pf31+lKj/aznxkZCSePHmCgQMHFpnj/PXXXyM8PBxDhw7FzJkz0bp1a9SpUwc9evRAbm4u9u7di8mTJ8Pa2hq+vr4YMGAAli5digYNGuDu3btIS0tDt27dMHz4cCxevBijRo3CyJEjkZCQgJkzZ2L8+PHyjm2rVq0QEREBHx8fGBsbY8aMGdDU1FTpXmrVqgWJRILIyEi0b98eMplMvgi3NLNmzcLEiROLHZUHADs7O/z66684ceIEKleujIULF+L+/fsqdeZtbW3x6tUrLFu2DD4+Pjh+/DhWrVqlUGbUqFFo3rw5Fi5cCB8fHxw+fBj79u1T+ClpxowZ6NixI2rWrIlvvvkGGhoauHDhAi5fvvxeC4rL8rrv2/7ladiIkRg2YuS7C35kxJj7+K3HOH7rsdAx3psY2xwQb25AvNmZW/3Eml2sucXk7XV3M2fOLPI0wdu3byMsLAzjx4/Ht99+i9OnT2P06NHQ1tYu8gTD0ny0c+bDw8PRpk2bYhcrfv311zhz5gwuXryIFi1aYPv27di9ezdcXFzQqlUrhae5hIWF4ZtvvsHw4cPh4OAAf39/PHv2DMDrBaR79+5FbGwsGjRogKFDh2LgwIGYNm2a/PzAwEB4enqiY8eO6NChAzp37ow6deqodC/Vq1eXL+Q0MzNTeFpLabS1tVG1atUS519NmzYNbm5u8PLyQosWLWBubo7OnTurlK1BgwZYuHAhvvvuO3zyySfYvHkzQkNDFcp4eHhg1apVWLhwIRo0aID9+/dj3LhxCtNcvLy8EBkZiT///BONGjXCZ599hkWLFqFWrVoq5XlbWVz3fdufiIiI6H0kJycrrMMrfDjLm/Lz8+Hm5oa5c+fC1dUVgwcPhr+/f5FB1XeRFLw9IZxICf7+/rh27Rr++usvoaOUm8zMTBgZGeH+owwYGhoKHec/o8WCI+8u9BGKCSh+oT0R0X9NZmYmzKoYISNDff9+Fv6b3TBoL7R09NRSZ3FyXzzDmaD2St17rVq10LZtW6xdu1a+LywsDLNnz8a///6rdJ0f7TQb+rgsWLAAbdu2hZ6eHvbt24cNGzZg5cqVQsciIiIiEiUPDw8kJCQo7Lt+/brKsxrYmSelxMbGYv78+Xj69ClsbGywdOlSDBo0SOhYRERERKI0btw4NG3aFHPnzkW3bt0QGxuLH3/8ET/++KNK12FnnpTy9hNuiIiIiD42EoGfZqNK3Y0aNcLOnTsRGBiIkJAQ1K5dG4sXLy723UKlYWeeiIiIiEgAHTt2RMeOHT/oGuzMExEREVGFoOpbWMujfnX7aB9NSUREREREpWNnnoiIiIhIpDjNhoiIiIgqBDEtgC0rHJknIiIiIhIpjswTERERUYXABbBERERERCQa7MwTEREREYkUp9kQERERUYXAaTZERERERCQa7MwTEREREYkUp9kQ0UclJsBT6AjvpXKjkUJHeG9PTi8XOgIRUZngc+aJiIiIiEg0ODJPRERERBUCF8ASEREREZFosDNPRERERCRSnGZDRERERBUCF8ASEREREZFosDNPRERERCRSnGZDRERERBUCn2ZDRERERESiwZF5IiIiIqoQJBB4AawAdXJknoiIiIhIpNiZJyIiIiISKU6zISIiIqIKQUMigYaA82yEqJsj80REREREIsWReSIiIiKqEPgGWCIiIiIiEg125omIiIiIRIrTbIiIiIioQuAbYEktEhMTIZFIEBcXBwCIiYmBRCJBeno6ACAiIgLGxsby8kFBQXBxcVF7ztJYW1tj8eLFQscQrVUrV8De1hrG+jpo1vRTnI6NFTqSUphbvfR1pfg+4Gsk7A3B45MLER0xHu71agodSylibXNAvNmZW/3Eml2sual47MyXMT8/P/m3QolEgipVqqBdu3a4ePGivIyVlRVSUlLwySefKHXNgIAAREVFlVdkuaCgIHluLS0tVK1aFc2bN8fixYuRk5OjUPb06dMYPHhwuWcq9PYXHjHbvu0XTJ44HlOnzcTJ2HNwdm6ALzt4IS0tTehopWJu9Qub0QutPnPAgGkb0LDbXBw6eQ17Vo2CpamR0NFKJeY2F2t25lY/sWYXa24qGTvz5aBdu3ZISUlBSkoKoqKioKWlhY4dO8qPa2pqwtzcHFpays1y0tfXR5UqVcorroL69esjJSUFSUlJiI6ORteuXREaGoqmTZvi6dOn8nKmpqbQ1dVVS6aKZuniheg/0B/9/PrDsV49LFu5CjJdXWyIWCd0tFIxt3rpSCuhc2sXTF28C8fP3cLt5IeYs3ovbiU/gH/XZkLHK5VY2xwQb3bmVj+xZhdrbmVpSITf1H7P6q+y4pNKpTA3N4e5uTlcXFwwZcoUJCcn48GDBwCKTrN5l7en2fj5+aFz585YsGABLCwsUKVKFYwYMQKvXr2Sl0lJSUGHDh0gk8lQu3ZtbNmyRampMVpaWjA3N4elpSWcnJwwatQoHDlyBJcvX8Z3330nL/fmtQoKChAUFISaNWtCKpXC0tISo0ePVig7a9Ys9OzZE3p6eqhevTpWrFghP15ce6Snp0MikSAmJgaJiYlo2bIlAKBy5cqQSCTw8/MDAOTn5yM0NBS1a9eGTCZDgwYN8Ouvv8qv8+TJE/Tu3RumpqaQyWSws7PD+vXrlWr38vDy5UucP3cWrVq3ke/T0NBAq1ZtEHvqpGC53oW51U9LUwNaWpp48fKVwv4XOa/Q1LWOQKneTcxtLtbszK1+Ys0u1txUOnbmy1lWVhZ++ukn2NralunoenR0NG7duoXo6Ghs2LABERERiIiIkB/v168f7t27h5iYGOzYsQM//vjje/+E5uDgAG9vb/z222/FHt+xYwcWLVqE1atX48aNG9i1axecnJwUynz//fdo0KABzp8/jylTpmDMmDE4ePCgUvVbWVlhx44dAICEhASkpKRgyZIlAIDQ0FBs3LgRq1atwpUrVzBu3Dj06dMHR44cAQBMnz4dV69exb59+xAfH4+wsDBUrVr1vdqhLDx8+BB5eXmoVs1MYX81MzOkpqYKlOrdmFv9srJzcOrCbQT6e8PC1AgaGhL0aN8InzrXhnlVQ6HjlUjMbS7W7MytfmLNLtbcKpFAYbqzujcIMDLPp9mUg8jISOjr6wMAnj17BgsLC0RGRkJDo+y+O1WuXBnLly+HpqYmHBwc0KFDB0RFRcHf3x/Xrl3DoUOHcPr0aTRs2BAAsHbtWtjZ2b13fQ4ODvjzzz+LPZaUlARzc3O0adMGlSpVQs2aNdG4cWOFMh4eHpgyZQoAoG7dujh+/DgWLVqEtm3bvrNuTU1NmJiYAACqVasmXxyck5ODuXPn4tChQ2jSpAkAwMbGBseOHcPq1avh6emJpKQkuLq6ytvB2tq6xHpycnIU1gZkZma+MxtReRowbSNWB/XG7T/nIDc3D3HXkrFt/xm4OopjESwREZU/jsyXg5YtWyIuLg5xcXGIjY2Fl5cXvL29cffu3TKro379+tDU1JR/trCwkI+8JyQkQEtLC25ubvLjtra2qFy58nvXV1BQUOLjlrp27Yrnz5/DxsYG/v7+2LlzJ3JzcxXKFHa23/wcHx//3nkA4ObNm8jOzkbbtm2hr68v3zZu3Ihbt24BAIYNG4atW7fCxcUFkyZNwokTJ0q8XmhoKIyMjOSblZXVB+UrTtWqVaGpqYm0tPsK+9Pu34e5uXmZ11dWmFsYd/55iC8GLUGVJuNh5z0dzfouQCUtTdz596HQ0Uok5jYXa3bmVj+xZhdrbiodO/PlQE9PD7a2trC1tUWjRo2wdu1aPHv2DGvWrCmzOipVqqTwWSKRID8/v8yu/7b4+HjUrl272GNWVlZISEjAypUrIZPJMHz4cDRv3lxhDn9pCn+xKCgokO9T5tysrCwAwJ49e+RfnuLi4nD16lX5vPnCL1Hjxo3DvXv30Lp1awQEBBR7vcDAQGRkZMi35ORkpfKrQltbG65u7og+/L+nE+Xn5yM6OgqNP2tSypnCYm5hZb94idSHmTA2kKFNU0dExlwSOlKJxNzmYs3O3Oon1uxiza0KiUT4Td04zUYNJBIJNDQ08Pz5c7XUZ29vj9zcXJw/fx7u7u4AXo9iP3ny5L2ud+3aNezfvx+BgYEllpHJZPDx8YGPjw9GjBgBBwcHXLp0Sf7rwKlTpxTKnzp1Co6OjgBePxkHeL1o19XVFQCKLA7W1tYGAOTl5cn31atXD1KpFElJSfD09Cwxm6mpKXx9feHr64tmzZph4sSJWLBgQZFyUqkUUqm0xOuUldFjx8N/gC/c3RuiYaPGWL50MbKfPUM/3/7lXveHYG71a9PEERIJcD0xDXWsTDF3XGdcv3MfG3d/3AvVxNzmYs3O3Oon1uxizU0lY2e+HOTk5MgXkjx58gTLly9HVlYWfHx81FK/g4MD2rRpg8GDByMsLAyVKlXChAkTIJPJ3vlmstzcXKSmpiI/Px+PHj1CTEwMZs+eDRcXF0ycOLHYcyIiIpCXl4dPP/0Uurq6+OmnnyCTyVCrVi15mePHj2P+/Pno3LkzDh48iO3bt2PPnj0AXn8R+OyzzzBv3jzUrl0baWlpmDZtmkIdtWrVgkQiQWRkJNq3bw+ZTAYDAwMEBARg3LhxyM/Px+eff46MjAwcP34choaG8PX1xYwZM+Du7o769esjJycHkZGR8i8RQunarTsePniAkOAZuJ+aCucGLvg9cj/MzMzefbKAmFv9jPR1EDLqS1Q3M8bjjGz8HhWHmSv+QG5u+f0KVxbE3OZizc7c6ifW7GLNTSVjZ74c7N+/HxYWFgAAAwMDODg4YPv27WjRooXaMmzcuBEDBw5E8+bNYW5ujtDQUFy5cgU6OjqlnnflyhVYWFhAU1MTRkZGqFevHgIDAzFs2LASR62NjY0xb948jB8/Hnl5eXBycsIff/yh8PSeCRMm4MyZMwgODoahoSEWLlwILy8v+fF169Zh4MCBcHd3h729PebPn48vvvhCfrx69eoIDg7GlClT0L9/f/Tr1w8RERGYNWsWTE1NERoaitu3b8PY2Bhubm749ttvAbwe0Q8MDERiYiJkMhmaNWuGrVu3fkjTlolhI0Zi2IiRQsdQGXOr146D57Hj4HmhY7wXsbY5IN7szK1+Ys0u1tzKkPz//wlZv9rrLHhzojJVWP/88w+srKxw6NAhtG7dWq11W1tbY+zYsRg7dqxa6/1QmZmZMDIywv1HGTA0/HgfBUgfh8qNxPsP45PTy4WOQEQVSGZmJsyqGCEjQ33/fhb+m/3FosOoJNNXS53FefU8C3+Oa6XWe+fIfAV1+PBhZGVlwcnJCSkpKZg0aRKsra3RvHlzoaMRERERlQuh3sL6Zv3qxs58BfXq1St8++23uH37NgwMDNC0aVNs3ry5yFNwiIiIiEi82JmvoLy8vBTmpAspMTFR6AhEREREFRI780RERERUIUgkknc+ua+861c3vjSKiIiIiEikODJPRERERBWCUG9hfbN+dePIPBERERGRSLEzT0REREQkUpxmQ0REREQVgoZEAg0B59kIUTdH5omIiIiIRIqdeSIiIiIikeI0GyIiIiKqEPg0GyIiIiIiEg2OzBMRERFRhcA3wBIRERERkWiwM09EREREJFKcZkNEVAaenF4udIT31mLBEaEjvJeYAE+hIxDRR4YLYImIiIiISDTYmSciIiIiEilOsyEiIiKiCkFDIoGGgPNshKibI/NERERERCLFkXkiIiIiqhAk/78JWb+6cWSeiIiIiEjNgoKC5C+5KtwcHBxUvg5H5omIiIiIBFC/fn0cOnRI/llLS/WuOTvzRERERFQhFI5wC1m/KrS0tGBubv5BdXKaDRERERFRGcrMzFTYcnJyii1348YNWFpawsbGBr1790ZSUpLKdancmd+wYQP27Nkj/zxp0iQYGxujadOmuHv3rsoBiIiIiIjKgoZE+A0ArKysYGRkJN9CQ0OLZP30008RERGB/fv3IywsDHfu3EGzZs3w9OlT1e5Z1UaaO3cuZDIZAODkyZNYsWIF5s+fj6pVq2LcuHGqXo6IiIiIqEJJTk5GRkaGfAsMDCxSxtvbG127doWzszO8vLywd+9epKenY9u2bSrVpfKc+eTkZNja2gIAdu3aha+//hqDBw+Gh4cHWrRooerliIiIiIgqFENDQxgaGqp0jrGxMerWrYubN2+qdJ7KI/P6+vp49OgRAODPP/9E27ZtAQA6Ojp4/vy5qpcjIiIiIioTbz/qUYjtfWVlZeHWrVuwsLBQ6TyVR+bbtm2LQYMGwdXVFdevX0f79u0BAFeuXIG1tbWqlyMiIiIi+s8JCAiAj48PatWqhXv37mHmzJnQ1NREz549VbqOyiPzK1asQJMmTfDgwQPs2LEDVapUAQCcPXtW5cqJiIiIiP6L/vnnH/Ts2RP29vbo1q0bqlSpglOnTsHU1FSl66g8Mm9sbIzly5cX2R8cHKzqpYiIiIiIypSAj5lXydatW8vkOkp15i9evKj0BZ2dnd87DBERERERKU+paTYuLi5wdXWFi4tLsVvhMVdX1/LOS1QhrFq5Ava21jDW10Gzpp/idGys0JGUwtzqJ8bspvraCOrogANjmiJmwuf4aYA7HMz1hY6lNDG2OcDcQhBrdrHmVobQi1+FePusUp35O3fu4Pbt27hz506xW+Gx27dvl3feMhEREQFjY2P556CgILi4uAiWpySJiYmQSCSIi4v7oOu0aNECY8eOVXu9ZUnVe/iYbd/2CyZPHI+p02biZOw5ODs3wJcdvJCWliZ0tFIxt/qJMbuBVAs/9nVFbn4Bxm27hJ5rz2Dp4dt4+iJX6GhKEWObA8wtBLFmF2tuKpmkoKCgQOgQqvLz88OGDRsAAJUqVULNmjXRr18/fPvtt9DSevfMoYiICIwdOxbp6ekAXj8KKCcnR76Ytzw5ODjgzp07uHv3LszNzUstm5iYiNq1a+P8+fMf9GXj8ePHqFSpEgwMDJQqn5eXhwcPHqBq1arvbM+yylgoJiYGLVu2xJMnTxS+cKl6D2UhMzMTRkZGuP8oQ+VnxZamWdNP4d6wERYvfb32JD8/H7a1rTBsxChMnDSlzOopa8ytfurK3mLBkTK71nDP2nCuYYShm+PK7JoliQnwLPNrivW/F+ZWP7FmV0fuzMxMmFUxQkZG2f77+a46jYyM0H3NcWjrCvdL4MvsLPzi76HWe1f5aTYAsGnTJnh4eMDS0hJ3794FACxevBi///57mYYrTbt27ZCSkoIbN25gwoQJCAoKwvfff/9e19LX11dLR/7YsWN4/vw5vvnmG/mXEXUwMTFRqROsqakJc3Nzpb4YKevly5cfdL6q9/CxevnyJc6fO4tWrdvI92loaKBVqzaIPXVSwGSlY271E2v2ZnZVEJ/6FHM618PeUU2wob8bOjUofeDiYyHWNmdu9RNrdrHmVoWGRPhN7fes6glhYWEYP3482rdvj/T0dOTl5QF4/ZSbxYsXl3W+EkmlUpibm6NWrVoYNmwY2rRpg927dwMAnjx5gn79+qFy5crQ1dWFt7c3bty4UeK1iptms27dOtSvXx9SqRQWFhYYOXIkAGDAgAHo2LGjQtlXr16hWrVqCA8PLzVzeHg4evXqhb59+2LdunVFjsfGxsLV1RU6Ojpo2LAhzp8/r3A8JiYGEokEBw4cgKurK2QyGVq1aoW0tDTs27cPjo6OMDQ0RK9evZCdnS0/7+0pKtbW1pg7dy4GDBgAAwMD1KxZEz/++KP8+NvTbJ48eYLevXvD1NQUMpkMdnZ2WL9+PQCgdu3aAABXV1dIJBL5W4D9/PzQuXNnzJkzB5aWlrC3twfw+otgw4YNYWBgAHNzc/Tq1Uv+015iYiJatmwJAKhcuTIkEgn8/PyKvYd3/R0XTqU6cOAAHB0doa+vL/8CKKSHDx8iLy8P1aqZKeyvZmaG1NRUgVK9G3Orn1izWxrL8JWrJZIfP8fYbZfw27kUjGtji/afmL37ZIGJtc2ZW/3Eml2sual0Knfmly1bhjVr1mDq1KnQ1NSU72/YsCEuXbpUpuFUIZPJ5KO/fn5+OHPmDHbv3o2TJ0+ioKAA7du3x6tXr5S6VlhYGEaMGIHBgwfj0qVL2L17N2xtbQEAgwYNwv79+xU6hZGRkcjOzkb37t1LvObTp0+xfft29OnTB23btkVGRgb++usv+fGsrCx07NgR9erVw9mzZxEUFISAgIBirxUUFITly5fjxIkTSE5ORrdu3bB48WJs2bIFe/bswZ9//olly5aVeo8//PCD/AvD8OHDMWzYMCQkJBRbdvr06bh69Sr27duH+Ph4hIWFoWrVqgBefwEBgEOHDiElJQW//fab/LyoqCgkJCTg4MGDiIyMBPD6i8+sWbNw4cIF7Nq1C4mJifIOu5WVFXbs2AEASEhIQEpKCpYsWVJsJmX+jrOzs7FgwQJs2rQJR48eRVJSUoltCgA5OTnIzMxU2IhINRoSICH1KVYdvYPr97Pw+4UU7L6Qgi6ulkJHIyKqkFSeR3Hnzp1in1ojlUrx7NmzMgmlioKCAkRFReHAgQMYNWoUbty4gd27d+P48eNo2rQpAGDz5s2wsrLCrl270LVr13dec/bs2ZgwYQLGjBkj39eoUSMAQNOmTWFvb49NmzZh0qRJAID169eja9eu0NcveY7W1q1bYWdnh/r16wMAevTogfDwcDRr1gwAsGXLFuTn5yM8PBw6OjqoX78+/vnnHwwbNqzYfB4eHgCAgQMHIjAwELdu3YKNjQ0A4JtvvkF0dDQmT55cYp727dtj+PDhAIDJkydj0aJFiI6Olo+gvykpKQmurq5o2LAhACi86bfwxQZVqlQpsgZAT08Pa9euhba2tnzfgAED5H+2sbHB0qVL0ahRI2RlZUFfXx8mJiYAgGrVqinMmX+Tsn/Hr169wqpVq1CnTh0AwMiRIxESElJim4SGhpb7+xKqVq0KTU1NpKXdV9ifdv/+O9dQCIm51U+s2R9mvUTio2yFfYmPstHCXrWXoAhBrG3O3Oon1uxiza0KoZ4o82b96qbyyHzt2rWLfcrJ/v374ejoWBaZlBIZGQl9fX3o6OjA29sb3bt3R1BQEOLj46GlpYVPP/1UXrZKlSqwt7dHfHz8O6+blpaGe/fuoXXr1iWWGTRokHyayf3797Fv3z6FTmpx1q1bhz59+sg/9+nTB9u3b8fTp08BAPHx8XB2doaOjo68TJMmTYq91pvP8jczM4Ourq68I1+4712r0t+8hkQigbm5eYnnDBs2DFu3boWLiwsmTZqEEydOlHrtQk5OTgodeeD1m4J9fHxQs2ZNGBgYwNPz9QK2pKQkpa4JQOm/Y11dXXlHHgAsLCxKbZfAwEBkZGTIt+TkZKUzKUtbWxuubu6IPhwl35efn4/o6Cg0/qz4v++PAXOrn1izX/wnAzVNdBX2WZnoIjXjhUCJlCfWNmdu9RNrdrHmptKpPDI/fvx4jBgxAi9evEBBQQFiY2Px888/IzQ0FGvXri2PjMVq2bIlwsLCoK2tDUtLyzJbrCmTyd5Zpl+/fpgyZQpOnjyJEydOoHbt2vIR9uJcvXoVp06dQmxsrMJoeV5eHrZu3Qp/f3+VMlaqVEn+Z4lEovC5cF9+fr7S13jXOd7e3rh79y727t2LgwcPonXr1hgxYgQWLFhQah16enoKn589ewYvLy94eXlh8+bNMDU1RVJSEry8vD54gWxxirvH0h7eJJVKIZVKyzzH20aPHQ//Ab5wd2+Iho0aY/nSxch+9gz9fPuXe90fgrnVT4zZt57+F2v6usC3SU1ExaehnqUhOjewwLz914WOphQxtjnA3EIQa3ax5laW5P83IetXN5V7wIMGDYJMJsO0adOQnZ2NXr16wdLSEkuWLEGPHj3KI2Ox9PT05PPY3+To6Ijc3Fz8/fff8ikYjx49QkJCAurVq/fO6xoYGMDa2hpRUVHyxZhvq1KlCjp37oz169fj5MmT6N+/9P8BhIeHo3nz5lixYoXC/vXr1yM8PBz+/v5wdHTEpk2b8OLFC/no/KlTp96ZV11MTU3h6+sLX19fNGvWDBMnTsSCBQvkI++FC6FLc+3aNTx69Ajz5s2DlZUVAODMmTMKZZS53of+HQuta7fuePjgAUKCZ+B+aiqcG7jg98j9MDP7uBcIMrf6iTF7fOpTTP7tCoZ51sYAj1pISX+OxVE3ceCqOJ5hLcY2B5hbCGLNLtbcVLL3Gs7u3bs3evfujezsbGRlZaFatWplneu92dnZoVOnTvD398fq1athYGCAKVOmoHr16ujUqZNS1wgKCsLQoUNRrVo1eHt74+nTpzh+/DhGjRolLzNo0CB07NgReXl58PX1LfFar169wqZNmxASEoJPPvlE4digQYOwcOFCXLlyBb169cLUqVPh7++PwMBAJCYmvnPkW11mzJgBd3d31K9fHzk5OYiMjJRPqapWrRpkMhn279+PGjVqQEdHB0ZGRsVep2bNmtDW1sayZcswdOhQXL58GbNmzVIoU6tWLUgkEkRGRqJ9+/aQyWRF1iKUxd+x0IaNGIlhI0YKHUNlzK1+Ysx+/NZjHL/1WOgY702MbQ4wtxDEml2sual47/WceeD13PKzZ88iISEBDx48KMtMH2z9+vVwd3dHx44d0aRJExQUFGDv3r1Fpl2UxNfXF4sXL8bKlStRv359dOzYscijLdu0aQMLCwt4eXnB0rLkpzTs3r0bjx49QpcuXYocc3R0hKOjI8LDw6Gvr48//vgDly5dgqurK6ZOnYrvvvtOtRsvJ9ra2ggMDISzszOaN28OTU1NbN26FQCgpaWFpUuXYvXq1bC0tCy1M21qaoqIiAhs374d9erVw7x584p8YalevTqCg4MxZcoUmJmZyR8J+rYP/TsmIiKiikdDIhF8UzeV3wD79OlTDB8+HD///LN8jrWmpia6d++OFStWlDgqW9FkZWWhevXqWL9+Pb766iuh41A5KK83wBJ9bMryDbDqVB5vgCWiDyfkG2D7rjsp+BtgNw1o8nG/AXbQoEH4+++/sWfPHqSnpyM9PR2RkZE4c+YMhgwZUh4ZPyr5+flIS0vDrFmzYGxsjC+//FLoSEREREQEQCIRflM3lefMR0ZG4sCBA/j888/l+7y8vLBmzRq0a9euTMN9jJKSklC7dm3UqFEDERERZfYUHSIiIiIiVancE61SpUqxU2mMjIxQuXLlMgn1MbO2ti718YZEREREROqi8jSbadOmYfz48UhNTZXvS01NxcSJEzF9+vQyDUdEREREpKzCN8AKuambUiPzrq6uCuFu3LiBmjVrombNmgBeTz2RSqV48ODBf2LePBERERHRx0Cpznznzp3LOQYREREREalKqc78zJkzyzsHEREREdEHEeqJMm/Wr27v/dIoIiIiIiISlspPs8nLy8OiRYuwbds2JCUl4eXLlwrHHz8W7yu8iYiIiEi8hHoL65v1q71OVU8IDg7GwoUL0b17d2RkZGD8+PH46quvoKGhgaCgoHKISERERERExVG5M79582asWbMGEyZMgJaWFnr27Im1a9dixowZOHXqVHlkJCIiIiKiYqjcmU9NTYWTkxMAQF9fHxkZGQCAjh07Ys+ePWWbjoiIiIhISYULYIXc1E3lznyNGjWQkpICAKhTpw7+/PNPAMDp06chlUrLNh0REREREZVI5c58ly5dEBUVBQAYNWoUpk+fDjs7O/Tr1w8DBgwo84BERERERFQ8lZ9mM2/ePPmfu3fvjlq1auHEiROws7ODj49PmYYjIiIiIlKWRCKBRMCn2QhRt8qd+bd99tln+Oyzz5CWloa5c+fi22+/LYtcRESkJjEBnkJHeC8tFhwROsJ7E2ubE9HHp8xeGpWSkoLp06eX1eWIiIiIiFSi8RFs6sY3wBIRERERiRQ780REREREIvXBc+aJiIiIiD4GXABbivHjx5d6/MGDBx8choiIiIiIlKd0Z/78+fPvLNO8efMPCkNERERE9L4kEkBDuIF5Qd4Aq3RnPjo6ujxzEBERERGRirgAloiIiIhIpLgAloiIiIgqBA2Bp9kIUTdH5omIiIiIRIqdeSIiIiIikeI0GyIiIiKqEP6Lz5l/r5H5v/76C3369EGTJk3w77//AgA2bdqEY8eOlWk4IiIiIiIqmcqd+R07dsDLywsymQznz59HTk4OACAjIwNz584t84BERERERMooXAAr5Kb2e1b1hNmzZ2PVqlVYs2YNKlWqJN/v4eGBc+fOlWk4IiIiIiIqmcqd+YSEhGLf9GpkZIT09PSyyEREREREREpQuTNvbm6OmzdvFtl/7Ngx2NjYlEkoIiIiIiJVSSTCb+qmcmfe398fY8aMwd9//w2JRIJ79+5h8+bNCAgIwLBhw8ojIxERERERFUPlzvyUKVPQq1cvtG7dGllZWWjevDkGDRqEIUOGYNSoUeWR8aMikUiwa9cupcsHBQXBxcWl3PIIwdraGosXLxY6hqitWrkC9rbWMNbXQbOmn+J0bKzQkZTC3Oon1uxizW2qr42gjg44MKYpYiZ8jp8GuMPBXF/oWEoRa5uLNTcg3uxizU3FU7kzL5FIMHXqVDx+/BiXL1/GqVOn8ODBA8yaNas88qlVamoqRo0aBRsbG0ilUlhZWcHHxwdRUVHvfc2AgIAPOv9D/PPPP9DW1sYnn3xSptc9ffo0Bg8erFRZdvyL2r7tF0yeOB5Tp83EydhzcHZugC87eCEtLU3oaKVibvUTa3ax5jaQauHHvq7IzS/AuG2X0HPtGSw9fBtPX+QKHe2dxNrmYs0NiDe7WHMrS0MiEXxT+z2/74na2tqoV68eGjduDH19cYxalCYxMRHu7u44fPgwvv/+e1y6dAn79+9Hy5YtMWLEiPe+rr6+PqpUqVKGSZUXERGBbt26ITMzE3///XeZXdfU1BS6urpldr3/mqWLF6L/QH/08+sPx3r1sGzlKsh0dbEhYp3Q0UrF3Oon1uxizd33Myvcz8zB7L0JuJryFCkZLxCb+AT/pr8QOto7ibXNxZobEG92seamkqncmW/ZsiVatWpV4iZWw4cPh0QiQWxsLL7++mvUrVsX9evXx/jx43Hq1KkSz5s8eTLq1q0LXV1d2NjYYPr06Xj16pX8+NvTbPz8/NC5c2fMnTsXZmZmMDY2RkhICHJzczFx4kSYmJigRo0aWL9+vfycly9fYuTIkbCwsICOjg5q1aqF0NDQUu+noKAA69evR9++fdGrVy+Eh4crHC/tmgUFBQgKCkLNmjUhlUphaWmJ0aNHy899c7S9tLItWrTA3bt3MW7cOIU3sj169Ag9e/ZE9erVoaurCycnJ/z8888K+Vq0aIHRo0dj0qRJMDExgbm5OYKCghTKpKenY8iQITAzM4OOjg4++eQTREZGyo8fO3YMzZo1g0wmg5WVFUaPHo1nz56V2m7l7eXLlzh/7ixatW4j36ehoYFWrdog9tRJAZOVjrnVT6zZxZobAJrZVUF86lPM6VwPe0c1wYb+bujUwFzoWO8k1jYXa25AvNnFmlsVGh/Bpm5aqp7w9vzvV69eIS4uDpcvX4avr29Z5VKrx48fY//+/ZgzZw709PSKHDc2Ni7xXAMDA0RERMDS0hKXLl2Cv78/DAwMMGnSpBLPOXz4MGrUqIGjR4/i+PHjGDhwIE6cOIHmzZvj77//xi+//IIhQ4agbdu2qFGjBpYuXYrdu3dj27ZtqFmzJpKTk5GcnFzqPUVHRyM7Oxtt2rRB9erV0bRpUyxatEh+f6Vdc8eOHVi0aBG2bt2K+vXrIzU1FRcuXCi2ntLK/vbbb2jQoAEGDx4Mf39/+TkvXryAu7s7Jk+eDENDQ+zZswd9+/ZFnTp10LhxY3m5DRs2YPz48fj7779x8uRJ+Pn5wcPDA23btkV+fj68vb3x9OlT/PTTT6hTpw6uXr0KTU1NAMCtW7fQrl07zJ49G+vWrcODBw8wcuRIjBw5UuGL0ptycnLkL0EDgMzMzFLb+H08fPgQeXl5qFbNTGF/NTMzJCRcK/P6ygpzq59Ys4s1NwBYGsvwlasMP8f+gw0nk+BoboBxbWzxKq8Aey/fFzpeicTa5mLNDYg3u1hzU+lU7swvWrSo2P1BQUHIysr64EBCuHnzJgoKCuDg4KDyudOmTZP/2draGgEBAdi6dWupnXkTExMsXboUGhoasLe3x/z585GdnY1vv/0WABAYGIh58+bh2LFj6NGjB5KSkmBnZ4fPP/8cEokEtWrVemeu8PBw9OjRA5qamvjkk09gY2OD7du3w8/PDwBKvWZSUhLMzc3Rpk0bVKpUCTVr1lToZL+ptLImJibQ1NSEgYEBzM3/N7pVvXp1BAQEyD+PGjUKBw4cwLZt2xTqcXZ2xsyZMwEAdnZ2WL58OaKiotC2bVscOnQIsbGxiI+PR926dQFA4dGooaGh6N27N8aOHSs/f+nSpfD09ERYWBh0dHSK3EtoaCiCg4Pf2bZEVDFpSID4lKdYdfQOAOD6/SzUMdVFF1fLj7ozT0T/bWX2a0CfPn2wbp0451sVFBS897m//PILPDw8YG5uDn19fUybNg1JSUmlnlO/fn1oaPyv6c3MzODk5CT/rKmpiSpVqsgXo/j5+SEuLg729vYYPXo0/vzzz1Kvn56ejt9++w19+vSR7+vTp4/CVJvSrtm1a1c8f/4cNjY28Pf3x86dO5GbW/wCMFXKFsrLy8OsWbPg5OQEExMT6Ovr48CBA0XazdnZWeGzhYWFvE3i4uJQo0YNeUf+bRcuXEBERAT09fXlm5eXF/Lz83Hnzp1izwkMDERGRoZ8e9evH++jatWq0NTURFqaYscg7f59hS88HxvmVj+xZhdrbgB4mPUSiY+yFfYlPsqGmaFUoETKEWubizU3IN7sYs2tCqGfMS+K58yX5OTJk8WOdoqBnZ0dJBIJrl1T7SemkydPonfv3mjfvj0iIyNx/vx5TJ06FS9fviz1vEqVKil8lkgkxe7Lz88HALi5ueHOnTuYNWsWnj9/jm7duuGbb74p8fpbtmzBixcv8Omnn0JLSwtaWlqYPHkyjh07huvXr7/zmlZWVkhISMDKlSshk8kwfPhwNG/eXGEtQCFVyhb6/vvvsWTJEkyePBnR0dGIi4uDl5dXkXYrrU1kMlmJ1weArKwsDBkyBHFxcfLtwoULuHHjBurUqVPsOVKpFIaGhgpbWdPW1oarmzuiD//vCUf5+fmIjo5C48+alHl9ZYW51U+s2cWaGwAu/pOBmiaKi/utTHSRmvFxL4AVa5uLNTcg3uxizU2lU3mazVdffaXwuaCgACkpKThz5gymT59eZsHUycTEBF5eXlixYgVGjx5dZN58enp6sfPmT5w4gVq1amHq1KnyfXfv3i2XjIaGhujevTu6d++Ob775Bu3atcPjx49hYmJSpGx4eDgmTJggn1JTaPjw4Vi3bh3mzZv3zmvKZDL4+PjAx8cHI0aMgIODAy5dugQ3N7ci9ZVWVltbG3l5eQrljx8/jk6dOsl/OcjPz8f169dRr149pdvD2dkZ//zzD65fv17s6LybmxuuXr0KW1tbpa+pLqPHjof/AF+4uzdEw0aNsXzpYmQ/e4Z+vv2FjlYq5lY/sWYXa+6tp//Fmr4u8G1SE1HxaahnaYjODSwwb/91oaO9k1jbXKy5AfFmF2tuZWlAmMdDvlm/uqncmTcyMlL4XDjvOyQkBF988UWZBVO3FStWwMPDA40bN0ZISAicnZ2Rm5uLgwcPIiwsDPHx8UXOsbOzQ1JSErZu3YpGjRphz5492LlzZ5lnW7hwISwsLODq6goNDQ1s374d5ubmxX7BiIuLw7lz57B58+YiawB69uyJkJAQzJ49G0uXLi3xmhEREcjLy8Onn34KXV1d/PTTT5DJZMXO1X9XWWtraxw9ehQ9evSAVCpF1apVYWdnh19//RUnTpxA5cqVsXDhQty/f1+lzrynpyeaN2+Or7/+GgsXLoStrS2uXbsGiUSCdu3aYfLkyfjss88wcuRIDBo0CHp6erh69SoOHjyI5cuXq/YXUMa6duuOhw8eICR4Bu6npsK5gQt+j9wPMzOzd58sIOZWP7FmF2vu+NSnmPzbFQzzrI0BHrWQkv4ci6Nu4sDVj//522Jtc7HmBsSbXay5qWQqdebz8vLQv39/ODk5oXLlyuWVSRA2NjY4d+4c5syZgwkTJiAlJQWmpqZwd3dHWFhYsed8+eWXGDduHEaOHImcnBx06NAB06dPL/IIxQ9lYGCA+fPn48aNG9DU1ESjRo2wd+9ehXn3hcLDw1GvXr1iF/N26dIFI0eOxN69e0u9prGxMebNm4fx48cjLy8PTk5O+OOPP4p9Xv67yoaEhGDIkCGoU6cOcnJyUFBQgGnTpuH27dvw8vKCrq4uBg8ejM6dOyMjI0OldtmxYwcCAgLQs2dPPHv2DLa2tvJfHZydnXHkyBFMnToVzZo1Q0FBAerUqYPu3burVEd5GTZiJIaNGCl0DJUxt/qJNbtYcx+/9RjHbz0WOsZ7EWubizU3IN7sYs1NxZMUqLj6U0dHB/Hx8ahdu3Z5ZSL6KGRmZsLIyAj3H2WUy/x5IvowLRYcETrCe4sJ8BQ6AlG5yczMhFkVI2RkqO/fz8J/syftOAepnnAvM815loX5X7up9d5VXgD7ySef4Pbt2+WRhYiIiIiIVKByZ3727NkICAhAZGQkUlJSkJmZqbAREREREZF6KD1nPiQkBBMmTED79u0BvJ4vLnljtXBBQQEkEkmRJ5cQEREREamDhuT1JmT96qZ0Zz44OBhDhw5FdHR0eeYhIiIiIvrPmTdvHgIDAzFmzBgsXrxY6fOU7swXrpP19OSiHSIiIiL6+EgkEPQ58+9b9enTp7F69Wo4OzurfK5Kc+YlAjYOEREREVFFk5WVhd69e2PNmjXv9eh3lZ4zX7du3Xd26B8/FufzeYmIiIiI1G3EiBHo0KED2rRpg9mzZ6t8vkqd+eDg4CJvgCUiIiIi+hhIJO8/1aWs6gdQ5AmPUqkUUqm0SPmtW7fi3LlzOH369HvXqVJnvkePHqhWrdp7V0ZEREREVNFZWVkpfJ45cyaCgoIU9iUnJ2PMmDE4ePAgdHR03rsupTvznC9PRERERPRuycnJCm+ALW5U/uzZs0hLS4Obm5t8X15eHo4ePYrly5cjJycHmpqa76xL5afZEBERERF9jD6W58wbGhoqdOaL07p1a1y6dElhX//+/eHg4IDJkycr1ZEHVOjM5+fnK1uUiIiIiIhKYWBggE8++URhn56eHqpUqVJkf2lUmjNPRERERPSxkvz//wlZv7qxM09ERERE9BGIiYlR+RyVXhpFREREREQfD47MExEREVGF8LEsgFUnduaJiEiUYgI8hY7w3io3Gil0hPfy5PRyoSMQ0VvYmSciIiKiCuG/ODLPOfNERERERCLFzjwRERERkUhxmg0RERERVQgSiQQSiYDPmRegbo7MExERERGJFDvzREREREQixWk2RERERFQh8Gk2REREREQkGhyZJyIiIqIKQSJ5vQlZv7pxZJ6IiIiISKTYmSciIiIiEilOsyEiIiKiCkFDIoGGgPNshKibI/NERERERCLFzjwRERERkUhxmg0RERERVQh8zjwREREREYkGR+aJiIiIqGIQ+Dnz4Mh8xSWRSLBr1y6lywcFBcHFxaXc8nwoa2trLF68WOgYorVq5QrY21rDWF8HzZp+itOxsUJHUgpzq59Ys4s1NyDO7Pq6Unwf8DUS9obg8cmFiI4YD/d6NYWOpRQxtnchsWYXa24qHjvzZSA1NRWjRo2CjY0NpFIprKys4OPjg6ioqPe+ZkBAwAed/z6CgoIgkUggkUigpaWFqlWronnz5li8eDFycnIUyp4+fRqDBw9WW7aYmBhIJBKkp6errc7ysn3bL5g8cTymTpuJk7Hn4OzcAF928EJaWprQ0UrF3Oon1uxizQ2IN3vYjF5o9ZkDBkzbgIbd5uLQyWvYs2oULE2NhI5WKrG2NyDe7GLNTSVjZ/4DJSYmwt3dHYcPH8b333+PS5cuYf/+/WjZsiVGjBjx3tfV19dHlSpVyjCpcurXr4+UlBQkJSUhOjoaXbt2RWhoKJo2bYqnT5/Ky5mamkJXV1ft+SqCpYsXov9Af/Tz6w/HevWwbOUqyHR1sSFindDRSsXc6ifW7GLNDYgzu460Ejq3dsHUxbtw/Nwt3E5+iDmr9+JW8gP4d20mdLxSibG9C4k1u1hzK0sDEsE39d8zfZDhw4dDIpEgNjYWX3/9NerWrYv69etj/PjxOHXqVInnTZ48GXXr1oWuri5sbGwwffp0vHr1Sn787Wk2fn5+6Ny5M+bOnQszMzMYGxsjJCQEubm5mDhxIkxMTFCjRg2sX79efs7Lly8xcuRIWFhYQEdHB7Vq1UJoaGip96OlpQVzc3NYWlrCyckJo0aNwpEjR3D58mV899138nJvTrMpKChAUFAQatasCalUCktLS4wePVqh7KxZs9CzZ0/o6emhevXqWLFihfx4YmIiJBIJ4uLi5PvS09MhkUgQExODxMREtGzZEgBQuXJlSCQS+Pn5AQDy8/MRGhqK2rVrQyaToUGDBvj111/l13ny5Al69+4NU1NTyGQy2NnZKbSRur18+RLnz51Fq9Zt5Ps0NDTQqlUbxJ46KViud2Fu9RNrdrHmBsSbXUtTA1pamnjx8pXC/hc5r9DUtY5Aqd5NrO0NiDe7WHNT6diZ/wCPHz/G/v37MWLECOjp6RU5bmxsXOK5BgYGiIiIwNWrV7FkyRKsWbMGixYtKrW+w4cP4969ezh69CgWLlyImTNnomPHjqhcuTL+/vtvDB06FEOGDME///wDAFi6dCl2796Nbdu2ISEhAZs3b4a1tbXK9+ng4ABvb2/89ttvxR7fsWMHFi1ahNWrV+PGjRvYtWsXnJycFMp8//33aNCgAc6fP48pU6ZgzJgxOHjwoFL1W1lZYceOHQCAhIQEpKSkYMmSJQCA0NBQbNy4EatWrcKVK1cwbtw49OnTB0eOHAEATJ8+HVevXsW+ffsQHx+PsLAwVK1aVeU2KCsPHz5EXl4eqlUzU9hfzcwMqampAqV6N+ZWP7FmF2tuQLzZs7JzcOrCbQT6e8PC1AgaGhL0aN8InzrXhnlVQ6HjlUis7Q2IN7tYc6tCIhF+Uzc+zeYD3Lx5EwUFBXBwcFD53GnTpsn/bG1tjYCAAGzduhWTJk0q8RwTExMsXboUGhoasLe3x/z585GdnY1vv/0WABAYGIh58+bh2LFj6NGjB5KSkmBnZ4fPP/8cEokEtWrVUv0m/5+DgwP+/PPPYo8lJSXB3Nwcbdq0QaVKlVCzZk00btxYoYyHhwemTJkCAKhbty6OHz+ORYsWoW3btu+sW1NTEyYmJgCAatWqyb8k5eTkYO7cuTh06BCaNGkCALCxscGxY8ewevVqeHp6IikpCa6urmjYsCEAlPplJicnR2FtQGZm5juzERF9DAZM24jVQb1x+885yM3NQ9y1ZGzbfwaujuJYBEtE748j8x+goKDgvc/95Zdf4OHhAXNzc+jr62PatGlISkoq9Zz69etDQ+N/f2VmZmYKI+CampqoUqWKfBGLn58f4uLiYG9vj9GjR5fYGVdGQUEBJCV83ezatSueP38OGxsb+Pv7Y+fOncjNzVUoU9jZfvNzfHz8e+cBXn+Zys7ORtu2baGvry/fNm7ciFu3bgEAhg0bhq1bt8LFxQWTJk3CiRMnSrxeaGgojIyM5JuVldUH5StO1apVoampibS0+wr70+7fh7m5eZnXV1aYW/3Eml2suQFxZ7/zz0N8MWgJqjQZDzvv6WjWdwEqaWnizr8PhY5WIjG3t1izizU3lY6d+Q9gZ2cHiUSCa9euqXTeyZMn0bt3b7Rv3x6RkZE4f/48pk6dipcvX5Z6XqVKlRQ+SySSYvfl5+cDANzc3HDnzh3MmjULz58/R7du3fDNN9+olLVQfHw8ateuXewxKysrJCQkYOXKlZDJZBg+fDiaN2+usAagNIVfUN78cqTMuVlZWQCAPXv2IC4uTr5dvXpVPm/e29sbd+/exbhx43Dv3j20bt0aAQEBxV4vMDAQGRkZ8i05OVmp/KrQ1taGq5s7og//70lF+fn5iI6OQuPPmpRyprCYW/3Eml2suQFxZy+U/eIlUh9mwthAhjZNHREZc0noSCUSc3uLNbtYc6ui8A2wQm7qxmk2H8DExAReXl5YsWIFRo8eXWTefHp6erHz5k+cOIFatWph6tSp8n13794tl4yGhobo3r07unfvjm+++Qbt2rXD48eP5dNWlHHt2jXs378fgYGBJZaRyWTw8fGBj48PRowYAQcHB1y6dAlubm4AUGQx8KlTp+Do6Ajg9ZNxACAlJQWurq4AoLAYFnj9/4AAIC8vT76vXr16kEqlSEpKgqenZ4nZTE1N4evrC19fXzRr1gwTJ07EggULipSTSqWQSqUlXqesjB47Hv4DfOHu3hANGzXG8qWLkf3sGfr59i/3uj8Ec6ufWLOLNTcg3uxtmjhCIgGuJ6ahjpUp5o7rjOt37mPj7o97UaNY2xsQb3ax5qaSsTP/gVasWAEPDw80btwYISEhcHZ2Rm5uLg4ePIiwsLBip5LY2dkhKSkJW7duRaNGjbBnzx7s3LmzzLMtXLgQFhYWcHV1hYaGBrZv3w5zc/NSF+bm5uYiNTUV+fn5ePToEWJiYjB79my4uLhg4sSJxZ4TERGBvLw8fPrpp9DV1cVPP/0EmUymMEf/+PHjmD9/Pjp37oyDBw9i+/bt2LNnD4DXXwQ+++wzzJs3D7Vr10ZaWprCmgIAqFWrFiQSCSIjI9G+fXvIZDIYGBggICAA48aNQ35+Pj7//HNkZGTg+PHjMDQ0hK+vL2bMmAF3d3fUr18fOTk5iIyMlH+JEErXbt3x8MEDhATPwP3UVDg3cMHvkfthZmb27pMFxNzqJ9bsYs0NiDe7kb4OQkZ9iepmxnickY3fo+Iwc8UfyM3NFzpaqcTa3oB4s4s1N5WMnfkPZGNjg3PnzmHOnDmYMGECUlJSYGpqCnd3d4SFhRV7zpdffolx48Zh5MiRyMnJQYcOHTB9+nQEBQWVaTYDAwPMnz8fN27cgKamJho1aoS9e/cqzLt/25UrV2BhYQFNTU0YGRmhXr16CAwMxLBhw0octTY2Nsa8efMwfvx45OXlwcnJCX/88YfCc/InTJiAM2fOIDg4GIaGhli4cCG8vLzkx9etW4eBAwfC3d1dvrj3iy++kB+vXr06goODMWXKFPTv3x/9+vVDREQEZs2aBVNTU4SGhuL27dswNjaGm5ubfFGwtrY2AgMDkZiYCJlMhmbNmmHr1q0f2rQfbNiIkRg2YqTQMVTG3Oon1uxizQ2IM/uOg+ex4+B5oWO8FzG2dyGxZhdrbmVoSCTQEOKRMm/Ur26Sgg9ZxUmkBGtra4wdOxZjx44VOopKMjMzYWRkhPuPMmBo+PE+3o2IxKdyI3F2pJ6cXi50BBKBzMxMmFUxQkaG+v79LPw3e/GhS5DpGailzuI8f/YUY9s4qfXeOTJPRERERBWCUM96f7N+dePTbIiIiIiIRIoj81TuEhMThY5AREREVCGxM09EREREFYIGBF4AC/XXzWk2REREREQixc48EREREZFIcZoNEREREVUIfJoNERERERGJBkfmiYiIiKhC0ICwI9VC1M2ReSIiIiIikWJnnoiIiIhIpDjNhoiIiIgqBIlEAomAK2CFqJsj80REREREIsWReSIiIiKqECT/vwlZv7pxZJ6IiIiISKTYmSciIiIiEilOsyEiIlKzJ6eXCx3hvfTfcl7oCO9tfS9XoSOQGmhIJNAQcAGsEHVzZJ6IiIiISKTYmSciIiIiEilOsyEiIiKiCkPIp9kIgSPzREREREQixZF5IiIiIqoQJJLXm5D1qxtH5omIiIiIRIqdeSIiIiIikeI0GyIiIiKqECQSCSQCzrMRom6OzBMRERERiRQ780REREREIsVpNkRERERUIWhA2JFqIermyDwRERERkUhxZJ6IiIiIKgQugCUiIiIiItFgZ56IiIiISKTYmSciIiKiCkHyEWzKCgsLg7OzMwwNDWFoaIgmTZpg3759Kt8zO/NERERERGpWo0YNzJs3D2fPnsWZM2fQqlUrdOrUCVeuXFHpOuzMEwlg1coVsLe1hrG+Dpo1/RSnY2OFjqQU5lY/sWYXa25AvNnFmPvrBub4uZ+rwragk6PQsZQmxjYHxJtbGYULYIXclOXj44P27dvDzs4OdevWxZw5c6Cvr49Tp06pdM/szFdALVq0wNixY4WOIYiYmBhIJBKkp6cLHaVE27f9gskTx2PqtJk4GXsOzs4N8GUHL6SlpQkdrVTMrX5izS7W3IB4s4s1NwAkP3mOodsuybfg/deFjqQUsba5WHOLTWZmpsKWk5NTavm8vDxs3boVz549Q5MmTVSqSzSd+eTkZAwYMACWlpbQ1tZGrVq1MGbMGDx69KjM6/Lz80Pnzp3L/Lofi4iICPm3Rw0NDdSoUQP9+/fn/5DVZOniheg/0B/9/PrDsV49LFu5CjJdXWyIWCd0tFIxt/qJNbtYcwPizS7W3ACQV1CAjBe58u1pTp7QkZQi1jYXa26xsbKygpGRkXwLDQ0tttylS5egr68PqVSKoUOHYufOnahXr55KdYmiM3/79m00bNgQN27cwM8//4ybN29i1apViIqKQpMmTfD48WOhI4qOoaEhUlJS8M8//2DNmjXYt28f+vbtW2zZvLw85OfnqzlhxfTy5UucP3cWrVq3ke/T0NBAq1ZtEHvqpIDJSsfc6ifW7GLNDYg3u1hzFzI3kGLlN59gcZd6GPF5LVTRqyR0pHcSa5uLNbcqND6CDXg9CJ2RkSHfAgMDi81rb2+PuLg4/P333xg2bBh8fX1x9epVle/5ozdixAhoa2vjzz//hKenJ2rWrAlvb28cOnQI//77L6ZOnSovK5FIsGvXLoXzjY2NERERIf986dIltGrVCjKZDFWqVMHgwYORlZUFAAgKCsKGDRvw+++/y0evY2JiALz+i+nWrRuMjY1hYmKCTp06ITExUX7dmJgYNG7cGHp6ejA2NoaHhwfu3r1b4n1NnjwZdevWha6uLmxsbDB9+nS8evVKfjwoKAguLi7YtGkTrK2tYWRkhB49euDp06fyMs+ePUO/fv2gr68PCwsL/PDDD0q1qUQigbm5OSwtLeHt7Y3Ro0fj0KFDeP78OSIiImBsbIzdu3ejXr16kEqlSEpKwpMnT9CvXz9UrlwZurq68Pb2xo0bN+TXLDxv165dsLOzg46ODry8vJCcnKxQd1hYGOrUqQNtbW3Y29tj06ZN8mMFBQUICgpCzZo1IZVKYWlpidGjR8uPb9q0CQ0bNoSBgQHMzc3Rq1evUn9RuHv3Lnx8fFC5cmXo6emhfv362Lt3r1JtVB4ePnyIvLw8VKtmprC/mpkZUlNTBUr1bsytfmLNLtbcgHizizU3ANx8kI1VJ5Iw79BNrPs7GdX0tTHTqy50tD7u7olY21ysucWo8Ak1hZtUKi22nLa2NmxtbeHu7o7Q0FA0aNAAS5YsUamuj/t/LQAeP36MAwcOYPjw4ZDJZArHzM3N0bt3b/zyyy8oKChQ6nrPnj2Dl5cXKleujNOnT2P79u04dOgQRo4cCQAICAhAt27d0K5dO6SkpCAlJQVNmzbFq1ev4OXlBQMDA/z11184fvw49PX10a5dO7x8+RK5ubno3LkzPD09cfHiRZw8eRKDBw8udSGEgYEBIiIicPXqVSxZsgRr1qzBokWLFMrcunULu3btQmRkJCIjI3HkyBHMmzdPfnzixIk4cuQIfv/9d/z555+IiYnBuXPnlG1eOZlMhvz8fOTm5gIAsrOz8d1332Ht2rW4cuUKqlWrBj8/P5w5cwa7d+/GyZMnUVBQgPbt2yt8AcnOzsacOXOwceNGHD9+HOnp6ejRo4f8+M6dOzFmzBhMmDABly9fxpAhQ9C/f39ER0cDAHbs2IFFixZh9erVuHHjBnbt2gUnJyf5+a9evcKsWbNw4cIF7Nq1C4mJifDz8yvxvkaMGIGcnBwcPXoUly5dwnfffQd9ff1iy+bk5BSZ40ZEROXnwr1M/H03HUnpL3Dx3lN8F3Ubetqa+MzaWOhoRILIz89/5/z6t2mVU5Yyc+PGDRQUFMDRsfjV7Y6Ojnjy5AkePHiAatWqvfN6W7ZswYsXL7Bx40bo6ekBAJYvXw4fHx989913MDMzg0wmQ05ODszNzeXn/fTTT8jPz8fatWvlHfT169fD2NgYMTExaNiwITIyMtCxY0fUqVNHnq0006ZNk//Z2toaAQEB2Lp1KyZNmiTfn5+fj4iICBgYGAAA+vbti6ioKMyZMwdZWVkIDw/HTz/9hNatWwMANmzYgBo1aryzHd5048YNrFq1Sj7iDbzuNK9cuRINGjSQl9m9ezeOHz+Opk2bAgA2b94MKysr7Nq1C127dpWft3z5cnz66afyPI6OjoiNjUXjxo2xYMEC+Pn5Yfjw4QCA8ePH49SpU1iwYAFatmyJpKQkmJubo02bNqhUqRJq1qyJxo0by7MOGDBA/mcbGxssXboUjRo1QlZWVrGd9KSkJHz99dfyLwQ2NjYltkNoaCiCg4NVajtVVa1aFZqamkhLu6+wP+3+fYX/3j42zK1+Ys0u1tyAeLOLNXdxsl/lISXzBcwNih/F/FiItc3FmlsVqj5RpjzqV1ZgYCC8vb1Rs2ZNPH36FFu2bEFMTAwOHDigUp0f/ch8oXeNvGtrayt1nfj4eDRo0EDekQcADw8P5OfnIyEhocTzLly4gJs3b8LAwAD6+vrQ19eHiYkJXrx4gVu3bsHExAR+fn7w8vKCj48PlixZgpSUlFKz/PLLL/Dw8IC5uTn09fUxbdo0JCUlKZSxtraWd7ABwMLCQj6t5NatW3j58qW84wwAJiYmsLe3f2c7ZGRkQF9fH7q6urC3t4eZmRk2b94sP66trQ1nZ2f55/j4eGhpaSnUVaVKFdjb2yM+Pl6+T0tLC40aNZJ/dnBwgLGxsbxMfHw8PDw8FLJ4eHjIj3ft2hXPnz+HjY0N/P39sXPnTvmvBQBw9uxZ+Pj4oGbNmjAwMICnpycAFGm3QqNHj8bs2bPh4eGBmTNn4uLFiyW2SWBgoML8trenB5UFbW1tuLq5I/pwlHxffn4+oqOj0Pgz1VavqxNzq59Ys4s1NyDe7GLNXRyplgbMDKR48jz33YUFJNY2F2vuiiotLQ39+vWDvb09WrdujdOnT+PAgQNo27atStf56EfmbW1tIZFIEB8fjy5duhQ5Hh8fD1NTUxgbGwN4/Y3o7Y7/m9NA3ldWVhbc3d0VOryFTE1NAbweqR89ejT279+PX375BdOmTcPBgwfx2WefFTnn5MmT6N27N4KDg+H1f+zddVwU+f8H8PeASEgI0qACEqKIICCgKDYiCgYhenacii0I2GJ3d3d3B+Kp2IWNhWJh0CDN6/cHv53bFYz7nu7sep/nPfZx7uzszns/zM685zOf8PIiLS0t2r59e6k270pKkh2BOI77KZ1RNTQ06ObNm6SgoEBGRkalmjCpqqoKcmVbuXJlio+Pp9OnT9OpU6dowIABNGvWLPrrr78oPz+fvLy8yMvLi7Zs2UJ6enqUmJhIXl5elJ+fX+bn9e7dm7y8vOjIkSN08uRJmjZtGs2ZM4cGDRpUal1lZeWvtmn7mQYPHU59enYjJydncnapS4sXzqfP2dnUtVuPX77tf4PFLX3yGru8xk0kv7HLa9ydnYzp5usM+piVT9pqShRQ25CKAbqYkCp0aN8lr2Uur3H/qH86C+uv2P6PWrNmzU/Zpswn85UqVaLmzZvT0qVLadiwYRJJZ1JSEm3ZsoVCQkL4ZXp6ehI14k+ePKHPnz/zz21tbWn9+vWUnZ3N187HxsaSgoICX6Ndvnx5KiqSHBqrTp06tGPHDtLX1ydNTc2vxuvo6EiOjo4UGRlJ7u7utHXr1jKT+YsXL1LVqlUlOu9+q7NsWapVq0ZKSkp05coVqlKlChERpaam0uPHj/ka669RUFAgS0vLH96Wra0tFRYW0pUrV/hmNsnJyRQfHy8xhFJhYSFdv36dbxoTHx9PaWlpfJMjW1tbio2NpW7duvHviY2NlfgMVVVVatOmDbVp04ZCQkKoevXqdPfuXQJAycnJNH36dKpcuTIREV2/fv27sVeuXJn69etH/fr1o8jISFq1alWZyby0BAQG0aePHylq4jh6n5RE9rUd6MDh42RgYPD9NwuIxS198hq7vMZNJL+xy2vcOmrlaVADM1JXVqSM3EKK/5BNY48+psw82a6ZJ5LfMpfXuJmvk/lknqikTXu9evXIy8uLJk+eTObm5nT//n0KCwsja2trGjduHL9ukyZNaPHixeTu7k5FRUUUHh4uUbvduXNnGj9+PHXr1o0mTJhAHz9+pEGDBlGXLl34HdnMzIxOnDhB8fHxVKlSJdLS0qLOnTvTrFmzyM/Pj6KiosjU1JRevnxJe/fupZEjR1JBQQGtXLmSfH19ydjYmOLj4+nJkyfUtWvXMr+TlZUVJSYm0vbt28nFxYWOHDlC+/bt+0floq6uTr169aKwsDCqVKkS6evr0+jRo0lB4ee3nrKysiI/Pz/q06cPrVixgjQ0NCgiIoJMTEzIz8+PX09JSYkGDRpECxcupHLlytHAgQPJzc2NT+7DwsIoMDCQHB0dqVmzZnTo0CHau3cvnT59mohKRsQpKioiV1dXUlNTo82bN5OqqipVrVqViouLqXz58rRo0SLq168f3bt3jyZNmvTNuIcOHUre3t5kbW1NqampFBMT892+DNLQP2Qg9Q8ZKHQY/xiLW/rkNXZ5jZtIfmOXx7gXnX8hdAj/ijyWOZH8xs2UTS7azFtZWdG1a9fIwsKCAgMDqWrVqnyCJhpVRmTOnDlUuXJlatCgAXXq1IlCQ0NJTU2Nf11NTY1OnDhBKSkp5OLiQv7+/tS0aVNavHgxv06fPn3IxsaGnJ2dSU9Pj2JjY0lNTY3OnTtHVapUofbt25OtrS316tWLcnNzSVNTk9TU1OjRo0fUoUMHsra2pr59+1JISAj9+eefZX4nX19fGjZsGA0cOJAcHBzo4sWLNHbs2H9cNrNmzaIGDRpQmzZtqFmzZuTh4UFOTk7/+HN+xLp168jJyYlat25N7u7uBICOHj0qcbGkpqZG4eHh1KlTJ6pfvz6pq6vTjh07+Nfbtm1LCxYsoNmzZ1PNmjVpxYoVtG7dOmrUqBERlQwjumrVKqpfvz7Z29vT6dOn6dChQ1SpUiXS09Oj9evX065du6hGjRo0ffp0mj179jdjLioqopCQELK1taWWLVuStbU1LV269JeUD8MwDMMwwuI44R9S/8740TEdZcz48eNp7ty5X22Tzkjf+vXraejQoZSWliZ0KD9FRkYGaWlp0fvk9G82rWIYhvmv6LH1ltAh/M/WdXIUOoT/jIyMDDKopEXp6dI7f4rO2VsvPiY1dY3vv+EX+ZyVSZ3qWUv1u8tFM5uyTJw4kczMzOjy5ctUt27dX9K0hGEYhmEYhmFkmdwm80REPXr8Hj2vGYZhGIZhmH9PgThSEHA8GyG2zaqzmZ+me/fuv00TG4ZhGIZhGHkg1zXzDMMwDMMwDCMiVCdU8e1LG6uZZxiGYRiGYRg5xZJ5hmEYhmEYhpFTrJkNwzAMwzAM81vg/v8/IbcvbaxmnmEYhmEYhmHkFKuZZxiGYRiGYX4LrAMswzAMwzAMwzBygyXzDMMwDMMwDCOnWDMbhmEYhmEY5rfACTwDLOsAyzAMwzAMwzDMD2PJPMMwDMMwDMPIKdbMhmEYhmEYhvktsNFsGIZhGIZhGIaRG6xmnmEYhmGYH7Kuk6PQIfzPemy9JXQI/xN5LnMhsJp5hmEYhmEYhmHkBkvmGYZhGIZhGEZOsWY2DMMwDMMwzG+B+///hNy+tLGaeYZhGIZhGIaRUyyZZxiGYRiGYRg5xZrZMAzDMAzDML8FBa7kIeT2pb5N6W+SYRiGYRiGYZifgdXMMwzDMAzDML8F1gGWYRiGYRiGYRi5wZJ5hmEYhmEYhpFTrJkNwzAMwzAM81vguJKHkNuXNlYzzzAMwzAMwzByitXMMwzDMAzDML8FjoTphCq+fWljNfMMwzAMwzAMI6dYMs8wDMMwDMMwcoo1s2EYhmEYhmF+C2wGWIZhGIZhGIZh5AZL5r9j/fr1VLFiRf75hAkTyMHBQbB45NmXZflftnzpErKxNKOK6irUoJ4rXbt6VeiQfgiLW/rkNXZ5jZtIfmNncUtPh9qGtK2ro8Rjtp+t0GH9MHksc+brfvtkvnv37sRxHHEcR+XLlydLS0uKioqiwsLC/+nzQkNDKTo6+idHKQkArVy5klxdXUldXZ0qVqxIzs7ONH/+fPr8+fMv3favFBQURI8fPxY6DMHt2rmDwsOG0+gx4+nS1Ztkb1+bfH286MOHD0KH9k0sbumT19jlNW4i+Y2dxS19r1JzqN/Ou/xj4nH5OL/Jc5n/CE4G/pO23z6ZJyJq2bIlvXv3jp48eUIjRoygCRMm0KxZs/6nz1JXV6dKlSr95AgldenShYYOHUp+fn4UExNDt2/fprFjx9KBAwfo5MmTv3Tbv0pBQQGpqqqSvr6+0KEIbuH8udSjVx/q2r0H2daoQYuWLidVNTXasH6t0KF9E4tb+uQ1dnmNm0h+Y2dxS18RQOm5hfwjM69I6JB+iDyXOVO2/0Qyr6ysTIaGhlS1alXq378/NWvWjA4ePEhERKmpqdS1a1fS1tYmNTU18vb2pidPnnz1s8pqZrN27VqqWbMmKSsrk5GREQ0cOJCIiHr27EmtW7eWWLegoID09fVpzZo1ZX7+zp07acuWLbRt2zYaNWoUubi4kJmZGfn5+dGZM2eocePGRERUXFxMUVFRZGpqSsrKyuTg4EDHjx/nP+fFixfEcRzt3LmTGjRoQKqqquTi4kKPHz+ma9eukbOzM6mrq5O3tzd9/PiRf1/37t2pbdu2NHHiRNLT0yNNTU3q168f5efn8+scP36cPDw8qGLFilSpUiVq3bo1PXv2rNS2d+zYQZ6enqSiokJbtmwp1cwmLi6OGjduTBoaGqSpqUlOTk50/fp1/vU9e/bw5WpmZkZz5syRKCszMzOaOnUq9ezZkzQ0NKhKlSq0cuVK/vX8/HwaOHAgGRkZkYqKClWtWpWmTZtWZrlLS35+Pt26eYOaNG3GL1NQUKAmTZrR1cuXBIzs21jc0ievsctr3ETyGzuLWxiGGsq01N+O5rerQSEeValSBSWhQ/oueS/zHyGaAVbIh7T9J5L5L6mqqvLJaffu3en69et08OBBunTpEgGgVq1aUUFBwQ991rJlyygkJIT69u1Ld+/epYMHD5KlpSUREfXu3ZuOHz9O796949c/fPgwff78mYKCgsr8vC1btpCNjQ35+fmVeo3jONLS0iIiogULFtCcOXNo9uzZdOfOHfLy8iJfX99SFyLjx4+nMWPG0M2bN6lcuXLUqVMnGjlyJC1YsIDOnz9PT58+pXHjxkm8Jzo6mh4+fEhnz56lbdu20d69e2nixIn869nZ2TR8+HC6fv06RUdHk4KCArVr146Ki4slPiciIoKGDBlCDx8+JC8vr1Lfp3PnzmRqakrXrl2jGzduUEREBCkplRwMb9y4QYGBgdSxY0e6e/cuTZgwgcaOHUvr16+X+Iw5c+aQs7Mz3bp1iwYMGED9+/en+Ph4IiJauHAhHTx4kHbu3Enx8fG0ZcsWMjMzK7PcpeXTp09UVFRE+voGEsv1DQwoKSlJoKi+j8UtffIau7zGTSS/sbO4pe/px8+0/GIiTT/9lNZeeUX66uVpvJc1qZST7bRKnsuc+br/1NCUACg6OppOnDhBgwYNoidPntDBgwcpNjaW6tWrR0QlyXTlypVp//79FBAQ8N3PnDx5Mo0YMYKGDBnCL3NxcSEionr16pGNjQ1t2rSJRo4cSURE69ato4CAAFJXVy/z8548eUI2Njbf3e7s2bMpPDycOnbsSEREM2bMoJiYGJo/fz4tWbKEXy80NJRPpIcMGULBwcEUHR1N9evXJyKiXr16lUqQy5cvT2vXriU1NTWqWbMmRUVFUVhYGE2aNIkUFBSoQ4cOEuuvXbuW9PT06MGDB2RnZ8cvHzp0KLVv3/6r3yExMZHCwsKoevXqRERkZWXFvzZ37lxq2rQpjR07loiIrK2t6cGDBzRr1izq3r07v16rVq1owIABREQUHh5O8+bNo5iYGLKxsaHExESysrIiDw8P4jiOqlat+s0yzcvLo7y8PP55RkbGN9dnGIZh/pvi3v59fkhMy6WnHz/Tog41yc2sIp19miJgZMx/kWxfQv4khw8fJnV1dVJRUSFvb28KCgqiCRMm0MOHD6lcuXLk6urKr1upUiWysbGhhw8ffvdzP3z4QG/fvqWmTZt+dZ3evXvTunXriIjo/fv3dOzYMerZs+dX1wfw3e1mZGTQ27dv+YRcpH79+qXitre35/9tYFByJV6rVi2JZV92eqlduzapqanxz93d3SkrK4tevXpFRCUXHMHBwWRhYUGampp8bXdiYqLE5zg7O3/zewwfPpx69+5NzZo1o+nTp0s01Xn48GGZ3+/JkydUVPR3u0Tx78dxHBkaGvLfp3v37nT79m2ysbGhwYMHf7e/wbRp00hLS4t/VK5c+Zvr/y90dXVJUVGRPnx4L7H8w/v3ZGho+NO397OwuKVPXmOX17iJ5Dd2FrfwPhcU0buMXDLUUBY6lG/6ncr8azgZeEjbfyKZb9y4Md2+fZuePHlCOTk5tGHDBqpQocK//lxVVdXvrtO1a1d6/vw5Xbp0iTZv3kzm5ubUoEGDr65vbW1Njx49+texiYiarRCVJLtlLfuyecz3tGnThlJSUmjVqlV05coVunLlChGRRLt6IvpuGU+YMIHu379PPj4+dObMGapRowbt27fvH8Ui/l2IJL9PnTp1KCEhgSZNmkQ5OTkUGBhI/v7+X/2syMhISk9P5x+ii5efqXz58uRYx4lizvw9IlJxcTHFxERTXTf3n769n4XFLX3yGru8xk0kv7GzuIWnXE6BDDSUKTXnfxspT1p+pzJn/vafaGZToUIFvh27OFtbWyosLKQrV67wzWySk5MpPj6eatSo8d3P1dDQIDMzM4qOjuY7pn6pUqVK1LZtW1q3bh1dunSJevTo8c3P7NSpE3Xs2JEOHDhQqt08AMrIyCAtLS0yNjam2NhY8vT05F+PjY2lunXrfjfu74mLi6OcnBz+YuXy5cukrq5OlStX5stn1apV/EXJhQsX/udtWVtbk7W1NQ0bNoyCg4Np3bp11K5dO7K1taXY2FiJdWNjY8na2poUFRV/+PM1NTUpKCiIgoKCyN/fn1q2bEkpKSmko6NTal1lZWVSVv71tSqDhw6nPj27kZOTMzm71KXFC+fT5+xs6trt2/uG0Fjc0ievsctr3ETyGzuLW7o6OxnTzdcZ9DErn7TVlCigtiEVA3QxIVXo0L5LXsuc+br/RDL/NVZWVuTn50d9+vShFStWkIaGBkVERJCJiUmZHVDLMmHCBOrXrx/p6+uTt7c3ZWZmUmxsLA0aNIhfp3fv3tS6dWsqKiqibt26ffPzAgMDad++fRQcHExjxoyhFi1akJ6eHt29e5fmzZtHgwYNorZt21JYWBiNHz+eqlWrRg4ODrRu3Tq6ffs2bdmy5V+VCVFJDXuvXr1ozJgx9OLFCxo/fjwNHDiQFBQUSFtbmypVqkQrV64kIyMjSkxMpIiIiH+8jZycHAoLCyN/f38yNzen169f07Vr1/j2+CNGjCAXFxeaNGkSBQUF0aVLl2jx4sW0dOnSH97G3LlzycjIiBwdHUlBQYF27dpFhoaGgk9cFRAYRJ8+fqSoiePofVIS2dd2oAOHj/PNoGQVi1v65DV2eY2bSH5jZ3FLl45aeRrUwIzUlRUpI7eQ4j9k09ijjykzT7Zr5onkt8x/lAJxpCDEkDJi25e2/3QyT1TSIXXIkCHUunVrys/Pp4YNG9LRo0dLNd/4mm7dulFubi7NmzePQkNDSVdXt1RTjmbNmpGRkRHVrFmTjI2Nv/l5HMfR1q1baeXKlbR27VqaMmUKlStXjqysrKhr1658Z9bBgwdTeno6jRgxgj58+EA1atSggwcPSnQi/V81bdqUrKysqGHDhpSXl0fBwcE0YcIEIioZwmr79u00ePBgsrOzIxsbG1q4cCE1atToH21DUVGRkpOTqWvXrvT+/XvS1dWl9u3b86Pm1KlTh3bu3Enjxo2jSZMmkZGREUVFRUl0fv0eDQ0NmjlzJj158oQUFRXJxcWFjh49SgoKwrcu6x8ykPqHDBQ6jH+MxS198hq7vMZNJL+xs7ilZ9H5F0KH8K/IY5kzX8fhR3pcMv9KVlYWmZiY0Lp16745uoss6N69O6WlpdH+/fuFDkVwoiZN75PTSVNTU+hwGIZhmH+hx9ZbQofwP1nXyVHoEP6xjIwMMqikRenp0jt/is7Zp2++pAoawp2zszMzqFmdqlL97v/5mvlfqbi4mD59+kRz5syhihUrkq+vr9AhMQzDMAzDML8Rlsz/QomJiWRubk6mpqa0fv16KleOFTfDMAzDMAzz87Ds8hcyMzP7oXHjZcmXE0gxDMMwDMPIDaEGexffvpQJ3xOQYRiGYRiGYZj/CauZZxiGYRiGYX4L3P//J+T2pY3VzDMMwzAMwzCMnGLJPMMwDMMwDMPIKdbMhmEYhmEYhvk9cEQCTgDLOsAyDMMwDMMwDPPjWDLPMAzDMAzDMHKKNbNhGIZhGIZhfgv/wWHmWc08wzAMwzAMw8grVjPPMAzDMAzD/B7+g1XzrGaeYRiGYRiGYaRs2rRp5OLiQhoaGqSvr09t27al+Pj4f/w5LJlnGIZhGIZhGCn766+/KCQkhC5fvkynTp2igoICatGiBWVnZ/+jz2HNbBiGYRiGYZjfAvf//wm5/R91/Phxiefr168nfX19unHjBjVs2PCHP4cl8wzzHQ9ep5O6BoQO4x+xq6wldAgMwzAyZV0nR6FD+J/02HpL6BD+sYKcLKFDkEvp6elERKSjo/OP3seSeYZhGIZhGIb5iTIyMiSeKysrk7Ky8lfXLy4upqFDh1L9+vXJzs7uH22LtZlnGIZhGIZhfgscJ/yDiKhy5cqkpaXFP6ZNm/bNuENCQujevXu0ffv2f/ydWc08wzAMwzAMw/xEr169Ik1NTf75t2rlBw4cSIcPH6Zz586RqanpP94WS+YZhmEYhmGY34KsDDOvqakpkcyXBQANGjSI9u3bR2fPniVzc/P/aZssmWcYhmEYhmEYKQsJCaGtW7fSgQMHSENDg5KSkoiISEtLi1RVVX/4c1ibeYZhGIZhGIaRsmXLllF6ejo1atSIjIyM+MeOHTv+0eewmnmGYRiGYRjm9yAr7Wx+APBzhr1mNfMMwzAMwzAMI6dYzTzDMAzDMAzzW5CnGWB/FlYzzzAMwzAMwzByiiXzDMMwDMMwDCOnWDMbhmEYhmEY5rcgPgurUNuXNlYzzzAMwzAMwzByiiXzDMMwDMMwDCOnWDMbhmEYhmEY5rcgR8PM/zSsZp5hGIZhGIZh5BSrmWcYhmEYhmF+D//BqnlWM88wUrRu6Vzq6teYPGuZUgsXSwr9sxO9eP5E6LB+2PKlS8jG0owqqqtQg3qudO3qVaFD+iHyGjeR/MYur3ETyW/sLG7pk7fYO9Q2pG1dHSUes/1shQ6L+ZdYMv8fY2ZmRvPnzxc6jFLOnj1LHMdRWlraN9fr3r07tW3bViox/Qo3r8ZSQJfetHbPKVq8cR8VFhTSoK7tKOdzttChfdeunTsoPGw4jR4zni5dvUn29rXJ18eLPnz4IHRo3ySvcRPJb+zyGjeR/MbO4pY+eY39VWoO9dt5l39MPP5Y6JCYf4kDAKGDkAdJSUk0bdo0OnLkCL1+/Zq0tLTI0tKS/vjjD+rWrRupqakJHeIPMTMzo6FDh9LQoUPLfH3ChAm0f/9+un37tlTjys/Pp5SUFDIwMCDuG4O0pqenEwCqWLHiL48pIyODtLS0KCYukdQ1NH/JNlKTP1ELF0tasf0I1alb/6d9rl1lrZ/2WSIN6rmSk7MLzV+4mIiIiouLydK8MvUPGURhIyN++vZ+FnmNm0h+Y5fXuInkN3YWt/RJK/YeW2/9tM/qUNuQnCtrUeTh+J/2mWUpyMmiPf0aUnp6Omlq/prz55dE5+zY+29+2Tn7R2RlZlD9miZS/e6sZv4HPH/+nBwdHenkyZM0depUunXrFl26dIlGjhxJhw8fptOnTwsaHwAqLCwUNIZ/q3z58mRoaPjVRL6oqIiKi4tJS0tLKom8tGRlZhARkaaWtsCRfFt+fj7dunmDmjRtxi9TUFCgJk2a0dXLlwSM7NvkNW4i+Y1dXuMmkt/YWdzSJ8+xG2oo01J/O5rfrgaFeFSlShWUhA6J+ZdYMv8DBgwYQOXKlaPr169TYGAg2drakoWFBfn5+dGRI0eoTZs2/LppaWnUu3dv0tPTI01NTWrSpAnFxcXxr0+YMIEcHBxo06ZNZGZmRlpaWtSxY0fKzMzk1ykuLqZp06aRubk5qaqqUu3atWn37t3866ImKceOHSMnJydSVlamCxcu0LNnz8jPz48MDAxIXV2dXFxc/vWFhqhZy+zZs8nIyIgqVapEISEhVFBQwK/z4cMHatOmDamqqpK5uTlt2bJFojnPixcviOM4idr+tLQ04jiOzp49K/GdRM1s1q9fTxUrVqSDBw9SjRo1SFlZmRITE0s1s/leWaWmplLnzp1JT0+PVFVVycrKitatW/evyuRnKS4uprmTIqm2kxtZ2tQQOpxv+vTpExUVFZG+voHEcn0DA0pKShIoqu+T17iJ5Dd2eY2bSH5jZ3FLn7zG/vTjZ1p+MZGmn35Ka6+8In318jTey5pUyrF0UJ6x0Wy+Izk5ma+Rr1ChQpnriNcmBwQEkKqqKh07doy0tLRoxYoV1LRpU3r8+DHp6OgQEdGzZ89o//79dPjwYUpNTaXAwECaPn06TZkyhYiIpk2bRps3b6bly5eTlZUVnTt3jv744w/S09MjT09PflsRERE0e/ZssrCwIG1tbXr16hW1atWKpkyZQsrKyrRx40Zq06YNxcfHU5UqVf7nMoiJiSEjIyOKiYmhp0+fUlBQEDk4OFCfPn2IqCThf/v2LcXExJCSkhINHjz4p7QZ/Pz5M82YMYNWr15NlSpVIn19/VLrfK+sxo4dSw8ePKBjx46Rrq4uPX36lHJycsrcXl5eHuXl5fHPMzIy/vV3+JaZ40Lp2eMHtGrn8V+6HYZhGIYhIop7+/d5LTEtl55+/EyLOtQkN7OKdPZpioCR/TwcV/IQcvvSxpL573j69CkBIBsbG4nlurq6lJubS0REISEhNGPGDLpw4QJdvXqVPnz4QMrKykRENHv2bNq/fz/t3r2b+vbtS0QlNbLr168nDQ0NIiLq0qULRUdH05QpUygvL4+mTp1Kp0+fJnd3dyIisrCwoAsXLtCKFSskkvmoqChq3rw5/1xHR4dq167NP580aRLt27ePDh48SAMHDvyfy0BbW5sWL15MioqKVL16dfLx8aHo6Gjq06cPPX78mI4dO0ZXr14lFxcXIiJas2YN2dr++97xBQUFtHTpUonvJO5HyioxMZEcHR3J2dmZiEr6DHzNtGnTaOLEif867h8xc3wYnY85QSu3HyEDIxOpbPPf0NXVJUVFRfrw4b3E8g/v35OhoaFAUX2fvMZNJL+xy2vcRPIbO4tb+uQ5dnGfC4roXUYuGWooCx0K8y+w+yr/o6tXr9Lt27epZs2afG1uXFwcZWVlUaVKlUhdXZ1/JCQk0LNnz/j3mpmZ8Yk8EZGRkRFfk/306VP6/PkzNW/eXOIzNm7cKPEZRMQnqCJZWVkUGhpKtra2VLFiRVJXV6eHDx9SYmLiv/quNWvWJEVFxTLjffjwIZUrV46cnJz416tXr/5T2rWXL1+e7O3tv/r6j5RV//79afv27eTg4EAjR46kixcvfvXzIiMjKT09nX+8evXqX3+HLwGgmePD6OzJw7Rs80EyqWz207fxK5QvX54c6zhRzJlofllxcTHFxERTXTd3ASP7NnmNm0h+Y5fXuInkN3YWt/TJc+zilMspkIGGMqXmyHe/O3GcDDykjdXMf4elpSVxHEfx8ZI9vy0sLIiISFVVlV+WlZVFRkZGfDtwceLJrZKSZGcTjuOouLiY/wwioiNHjpCJiWSNrai2X+TLZj+hoaF06tQpmj17NllaWpKqqir5+/tTfn7+D3zTr/tWvD9CQaHkmlF84CTxNvdfo6qq+s2RbX6krLy9venly5d09OhROnXqFDVt2pRCQkJo9uzZpT5PWVm5VBn/bDPGhdKJg7to9sqtpKauTp8+ltTqqGtokoqK6nfeLazBQ4dTn57dyMnJmZxd6tLihfPpc3Y2de3WQ+jQvkle4yaS39jlNW4i+Y2dxS198hh7Zydjuvk6gz5m5ZO2mhIF1DakYoAuJqQKHRrzL7Bk/jsqVapEzZs3p8WLF9OgQYO+2m6eiKhOnTqUlJRE5cqV+2Zzjm8R7+wp3qTmR8TGxlL37t2pXbt2RFSS7L548eJ/iuNHVa9enQoLC+nGjRt8M5v4+HiJ8eL19PSIiOjdu3fk6OhIRPRThr780bLS09Ojbt26Ubdu3ahBgwYUFhZWZjIvDXu2rCEion7BrSWWj5u5hNr4dxYipB8WEBhEnz5+pKiJ4+h9UhLZ13agA4ePk4GBwfffLCB5jZtIfmOX17iJ5Dd2Frf0yWPsOmrlaVADM1JXVqSM3EKK/5BNY48+psy836dm/r+IJfM/YOnSpVS/fn1ydnamCRMmkL29PSkoKNC1a9fo0aNHfBOTZs2akbu7O7Vt25ZmzpxJ1tbW9PbtWzpy5Ai1a9euVLOYsmhoaFBoaCgNGzaMiouLycPDg9LT0yk2NpY0NTWpW7duX32vlZUV7d27l9q0aUMcx9HYsWP/UQ36/8LGxoZatmxJf/75Jy1btozKlStHQ4cOlbhjoaqqSm5ubjR9+nQyNzenDx8+0JgxY/71tn+krMaNG0dOTk58c6jDhw//lPb8/6trz9ME2/bP0D9kIPUP+d/7XwhFXuMmkt/Y5TVuIvmNncUtffIW+6LzL4QO4dcTqq2L+PaljCXzP6BatWp069Ytmjp1KkVGRtLr169JWVmZatSoQaGhoTRgwAAiKml+cvToURo9ejT16NGDPn78SIaGhtSwYcN/dKU+adIk0tPTo2nTptHz58+pYsWKVKdOHRo1atQ33zd37lzq2bMn1atXj3R1dSk8PPyXj8hCRLRu3Trq3bs3eXp6koGBAU2ePJnGjh0rsc7atWupV69e5OTkRDY2NjRz5kxq0aLFv97298qqfPnyFBkZSS9evCBVVVVq0KABbd++/V9vl2EYhmEYRhawGWCZX+J7M83KA2nMAPur/IoZYBmGYRjp+5kzwEqLkDPAXn74VvAZYN1sjdkMsAzDMAzDMAzDfB9L5hmGYRiGYRhGTrE288wv8atH0WEYhmEYhvnSf3EGWFYzzzAMwzAMwzByiiXzDMMwDMMwDCOnWDMbhmEYhmEY5rfwHxxmntXMMwzDMAzDMIy8YjXzDMMwDMMwzO/hP1g1z2rmGYZhGIZhGEZOsWSeYRiGYRiGYeQUa2bDMAzDMAzD/Ba4//9PyO1LG6uZZxiGYRiGYRg5xWrmGYZhGIZhmN8CmwGWYRiGYRiGYRi5wZJ5hmEYhmEYhpFTrJkNw3wFACIiys7KFDiSfy4jQ8hBdhmGYZifpSAnS+gQ/rGCnGwi+vs8Kk3/wWHmWTLPMF+TmVmSxLeuX1PgSBiGYRhG/mRmZpKWlpbQYfz2WDLPMF9hbGxMr169Ig0NDeJ+co+WjIwMqly5Mr169Yo0NTV/6mf/avIaO4tb+uQ1dnmNm0h+Y2dxS9+vjB0AZWZmkrGx8U/9XKZsLJlnmK9QUFAgU1PTX7oNTU1NuTsBiMhr7Cxu6ZPX2OU1biL5jZ3FLX2/KnbBauT/g+1sWAdYhmEYhmEYhpFTrGaeYRiGYRiG+S2wGWAZhpEKZWVlGj9+PCkrKwsdyj8mr7GzuKVPXmOX17iJ5Dd2Frf0yXPsjCQOQowbxDAMwzAMwzA/SUZGBmlpadHNJ0mkriFc/4WszAyqY2VI6enpUutHwZrZMAzDMAzDML8HjugnD0D3j7cvbayZDcMwDMMwDMPIKZbMMwzDMAzDMIycYs1sGIZhGIZhmN/Cf3CYeVYzzzAMwzAMwzDyiiXzDPMTfTk4lDwMFlVcXMz/OysrS8BI/hkAVFRUJHQY/xPxMpcn8rA/f4/4d5CX7yOv+4u8HlvE45a3Y4y87is/FScDDyljyTzD/CTFxcXE/X8X+rdv3xIR8c9lVXFxMSkolBwGFi9eTAsXLqSEhASBo/oxL1++JEVFRSIiWr58OV24cEHgiH6MeJkfPHiQoqOjBY7ox4jv35mZmZSbm8u/Jg9JsSjG/Px8/jnHcTIfu/j+cuHCBXr8+LHAEf0Y8bjnzZtHixYtoqdPnwoc1feJx7127Vpavnw5ff78WeCofox47FevXqWXL18KHBEjLSyZZ5ifQPwgOnXqVBo/fjxdvHhR4Ki+TxTzyJEjKSoqiqpWrUpKSkoCR/V9d+7cIQsLCzp48CCNHDmSxo4dS8bGxkKH9V0A+DIPDw+nIUOG0KtXr+jDhw8S68giUdxTpkyhZs2aUZs2bWj69OlERDKfFIsS95MnT1L37t3Jx8eHOnbsSB8/fpTpC27x40pkZCQNGjSIrl69ShkZGQJH9n3ix5Zp06aRqakpqaurCxzVt4n/PkXHFRUVFUpOTpZYRxaJ7yujRo2iQYMG0cWLFyk7O1vgyBhpYB1gGeYnEE/QRLU55ubmEuuIH2xlybp162jr1q108uRJcnBwICKigoIC+vDhA5mYmAgb3FdYWlpSVFQUBQQEkKqqKsXFxVHVqlX5pE1WiWKbMWMGbdiwgfbs2UPu7u4S+wXHcVRUVMTfdRCa+H67aNEimjdvHg0fPpwSEhJozpw5lJCQQCtWrOATelksf47j6MCBA9SpUycaOnQoVatWjRYvXkx16tShy5cvy+x+Lir3CRMm0Nq1a2nbtm3k5uZGampqEuvJarlv2LCBNm/eTNHR0VSrVi0iIsrNzaXk5GSZLHNRGS5dupQ2bdpEBw4coLp16/Kv5+bmkoqKikwey0XxjBs3jlavXk1btmwhd3d3qlChgsR6srqv/Ezc//8n5PaljSXzDPOTHDx4kLZt20bR0dFkb29PREQpKSn09OlTqlu3LikoKMjkSeD58+fk4uJCDg4O9OTJE4qOjqalS5dScXEx9erVi4YNGyZ0iKWoqamRoaEhFRQUUEFBAd24cYOqVq0qFyepjIwMOnHiBI0ePZrq169PL1++pEePHtG2bdtIU1OTFixYQIqKijJz0hXtr+fPnycVFRVav349tW7dmrKzs6lJkybUu3dvAkArV66U2YQ+LS2NZs2aRRMnTqTQ0FB68+YNRUVFUatWrSSSSlmM/fnz57R3715au3YtNWnShD5+/EgPHjygEydOkJmZGXXu3FkmYu7QoQM5OjrSmDFj+GVv374lV1dXqlWrFj158oROnTpFCxcuJG1tbWrcuDFNnTpVwIi/7urVq+Tv709169alx48f05UrV2jVqlWUn59PS5YsIScnJ5ncVx4+fEi7d++mrVu3UrNmzSg5OZmePXtGMTExZGVlRT4+PjIXM/NzsGSeYX6SnJwc0tPTI2tra4qPj6ddu3bRmjVrqLi4mKpVq0ZnzpwRPJEv6wSkpqZGL168oL59+9KNGzeoWrVq5OXlRSoqKjRz5kxq164dmZmZCROwmC8vhIKDg8nd3Z327NlD/v7+tGnTJurcubNM1WqXpXz58vzdhE2bNtHu3bspPT2dVFRUKDY2lj5+/Ejbtm2TqZPu1atXydPTkypUqEB79uwhIqIKFSpQu3btiIiob9++pKCgQMuXL5epuEVycnLo3bt39Mcff9CHDx/I1dWVfHx8aMWKFUREtGPHDurQoQOVKyd7p8QKFSqQkpISPXv2jM6ePUvr1q2juLg4UlBQoIcPH1J6ejoNGDBA0BgLCgqodu3aNGHCBNLQ0KAhQ4YQUUn/hEePHlH//v3p0qVLZGNjQ+3atSMlJSXatWsX9e7dmywsLASNvaxjor6+Pp06dYomTpxIp06dIh0dHapVqxa9efOG2rdvTw8fPix1d0QWqKurk5KSEr1584YuXbpEa9asocuXLxPHcfT48WPasGEDdezYUegwfzlO4Blghdi27B25GEYOlFXDrqSkRHl5eeTn50cPHjygpk2b0tChQ8nCwoL69OlDf/31F3l6egoUsWTMaWlplJ+fT/r6+tSnTx9KT0+ny5cvU69evahJkyZUvXp1OnHiBMXExMhEO1fx2B89ekS5ubnk4OBANWvWJAsLC8rJyaEuXbpQuXLlKCgoiIiIxo8fTz4+PhK3yYWMW0RFRYW8vb35GrQRI0aQt7c31atXj8LCwiglJUWgaL+uatWqNGfOHIqKiqJTp05RixYtiKjku7Rv354UFBQoODiYzM3NKTw8XOBo/07QCgoKSElJiYyMjMjc3Jw2b95MixYtojZt2tDChQuJiOjdu3e0bds2UlVVJV9fX0HjLmt/UVdXp5o1a9LGjRvp1q1bNHjwYJoxYwZ5eHhQp06d6OPHjwJF+zclJSUKDw8nDQ0NGjZsGBUVFdHw4cMpIiKCkpOTKSEhgf78809q2rQpWVtb019//UXHjx8nFRUVQeMWL+/s7Gy+SYqvry+lpaXRxo0bqV+/ftSiRQuqXbs2bd++nXJycmTigrWsfaVChQpkYWFBCxcupLi4OBowYADNmDGD3N3dKTAwkBITEwWKlvnVWDLPMP+Q+EE0ISGB8vPzycbGhtq3b0+fP3+muLg46tGjBzVq1IgMDQ3p+fPnZGxsLGhSLN6xKyoqii5cuEA3b94kPz8/at26NU2fPp1vD0pU0jZ0yZIlVLFiRapUqZJgcYuId0rbvn07paenk6OjI82aNYucnZ1p4sSJxHEcBQcH0+XLl+nmzZv06dMnGjdunGAxi+8nK1eupAcPHtCHDx+oXbt21K9fP+rZsye9f/9eom/FrVu3yNbWVqiQiajsJMHAwIC6d+9ORUVFNH78eFJXV6fx48cTEZGysjL5+fnRyZMnqVGjRgJELEmUyJ89e5bu3r1LTZs2JVtbW7KysqKoqChq2LAhLVu2jF9fNIJTnTp1BIxastz37dtHz58/J2VlZWrWrBlt2LCB7t27RwUFBRJxfvr0iZSVlYUKWYKysjINGDCAAFBoaCgVFRVRWFgYLViwgHJycvia7JycHJo9ezbp6emRoaGhYPGKHxNnzpxJsbGxlJeXRxEREeTh4UEeHh6UkpJCOjo6/PobNmwgLS0tmboIOXr0KL148YI0NTXJ09OTtm/fTjdv3iSO48jNzY1/T1ZWluBxM78QGIb5n4SHh6NatWrQ1NSEn58fHj9+LPF6YWEhUlJS0KZNGzRs2BBFRUVSj7G4uFji+dixY1GpUiXs27cPp06dgqenJ6pUqYJnz54BADIzM7Fp0yZ4eXmhdu3ayM/PBwBBYv9yu7t374aVlRX279+Pv/76C7Vr14aDgwOio6P577lkyRJ4enqia9eugscuEhYWBn19fYwfPx49evSAubk5evbsicLCQgBARkYGrly5Ai8vL9SqVQsFBQWCxSpeVuvXr8e4cePQp08fXLlyBdnZ2cjLy8OsWbOgpaWFCRMmlPkZQsYvsnv3blSoUAETJkzAvXv3AABv376Fh4cH3N3dMWbMGKxfvx69e/eGlpYWbt++LXDEfwsLC4OxsTE6dOiAxo0bo1q1ali5ciX/enZ2NuLj4+Hl5QUHBwdBy1v0uxPfb7KysjBnzhxwHIc5c+bwy9PT07FkyRJ4e3vD3t5e0N+n+Dbnzp0LLS0tjB07Fs7OzrC0tMTcuXORkpLCx33kyBE0a9ZMIu4vj61CGDlyJExNTdGiRQt4eHjAxsYGO3fu5F/Pzs7G06dP0bJlSzg6OsrEb/NXSk9PBxHhzvP3SPiYI9jjzvP3ICKkp6dL7buzZJ5hfpD4CWDr1q2wsLDAjh07sH//fpiZmaFBgwa4ePEiiouLUVBQgPnz58PLywtOTk4ykVgmJCSgbt26OHXqFAAgOjoaampqWLNmDYCSi4/MzEyMHDkSAwYM4A/8snAC2L17N2bMmIEFCxbwy3Jzc+Hm5obatWsjOjqaj1P8ACp07GfOnEG1atVw5coVAMD+/fuhoqKCjRs38uucOHECbdq0ga+vL7+fiBJ9oYwYMQK6urrw9fWFo6Mj9PX1MW7cOLx//x6fP3/GnDlzUKlSJQwfPlzQOMty+/ZtGBkZ8fu1uJcvX2LAgAFwdHSEo6Mj2rdvj7t37woQZdl27twJU1NTXLp0CQCwcuVKqKioYPv27fw6K1euhJeXFxo3bizo/iJ+LMvIyJD43WVnZ2P27NngOA7z5s0DUPJbHDlyJPr16yczx5YHDx6gT58+OH36NL8sJCQEtWrVwuzZs5GWlob4+HiEhISga9eugsctfgGxefNmGBsb4+LFiwCAhQsXQllZGbt27eLXXbx4MVq0aAFPT0+ZObb8SiyZZxjmhx05cgTTp0/HihUr+GVJSUmwtbVFw4YN+RPxpk2bMH78eEFOAL1795aIDwBevXoFa2trfPz4Efv27YO6ujqWLVsGAMjJycG6dev4ZE100pCFA//nz5+hrq4OjuMwbNgwiddycnLg7u4OJycnHD58WCJeIWrOvrxY27p1K1xcXAAAu3btgoaGBl/mWVlZOHv2LADg1q1b/HuFTnCOHz8OExMT3Lp1i182efJk1KpVCzNnzgQAfPjwARMnToSXl5dM1FCK2717N+zt7fH+/Xt+2Zd/l8LCQv5Og5BEZSf6f1RUFAIDAwGUfA8NDQ0sX74cQMn+8vz5c2RlZeHQoUP8vi7E/iJenjNnzkTDhg3h7OyMjh078vHk5uZi9uzZUFBQwNy5c/n3ycqxZefOnTAyMoKFhQV/zBYZOHAgatWqhXnz5iEnJwfJycl83EKUt/jFv0hkZCR69OgBANizZ0+pfeXt27f49OkTdu3aJei+Ik3/5WRetsbIYxgZBoBSUlKodevWFBkZSW/evOFfMzAwoJiYGPr06ROFh4fT5cuX6Y8//qAJEyZQuXLlqKioSGojZaSlpZG1tTX16NFDYnl+fj4pKSnR/PnzqWfPnjRjxgzq168fEZUMabZ//356+PAhqaqq8kMMCjEqDL6YlEVVVZVevHjBd8q9ffs2v46KigrFxMRQWloa7d69WyJeITqpidqx3r59m4/PyMiIDh06RD169JAo85iYGNq9eze9f/+eHBwc+KFLpTmiyqhRo+j69esSy7KysvihP0VT2Y8ePZr8/Pxo9uzZlJqaSnp6ejR06FA6duyYzEwYJYrh2bNnlJGRQfr6+kREVFhYyP9drl+/To8ePSJFRUVSU1Oj8uXLCxYv0d/76Pv374mopCOphYUFnTp1irp3704zZ86kP//8kwDQoUOHaNu2baSkpEStW7cmRUVFqe8vIuKTE82bN4/atWtH48aNoxMnTlDbtm3p5cuXpKysTAMHDqTZs2fTiBEjaNu2baSgoCDosUVcQEAANWrUiF6/fk0XLlygnJwc/rVFixZR48aNacqUKbR//37S0dHh45Z2ec+bN49OnDhBxcXFEssVFBTI0tKSTp06Rd26daNZs2bRn3/+ScXFxbRv3z7atm0baWtrk7+/PykqKkr1HCQ4TgYe0ia1ywaGkUNl1To+ffoUJiYmcHNzw6NHjyRee//+PXR0dNCvXz9phSjhy3jXrFmD8PBw/vmoUaPAcZxE84isrCz4+PigZcuWgrcvF9/+69ev8fHjR7x+/RpASdmampqifv36pZpG5OfnC1rTt3PnTkycOBEAMHToUDRt2hS5ublISkqCjo4OOI6TaPaRk5ODli1bokuXLoLVbF+/fh1dunQpVVu3adMm6Orq4uPHjwBK7owAJbVe2traOHDggMT6slYzHxcXB1VVVcyaNUtieUFBAQYPHoxVq1YJvp/v3bsXN27cAFDS7rl37978co7joKCggA0bNvDrZ2Zmonnz5hg6dKgg8Zbl2LFjqFmzJs6fP88/V1dXh46ODpydnfHy5UsAJfv6tm3bZKYvyJfat2+PGjVqYMuWLcjJyZF4be7cuYLfQfj06RMfQ2xsLL98xYoV4DgO5cuXx/r16/nl6enpaNasmcRx/7+Cr5lPeI+ETzmCPe4ksGY2DCMzxE8AOTk5KCoq4k9IDx8+hJaWFlq3bo2nT59KvC8lJUWwE4B4zGlpaejbty+cnJwQFRXFL+/RowfKlSuHwYMHo3///mjcuDHs7OwEb9cvnhROnDgR9evXh7W1NTw8PLB161YAwMePH1G5cmV4eHjwHRvFCVHuhYWFWLx4MTiOQ6NGjaChoYG4uDj+9dOnT0NbWxvdunXD4cOHcejQITRv3lyis6tQCbFouzt37sSJEyf4ZXZ2dmjQoIHEuk+ePIGVlRUuXLgg9TjLIor99u3b2LZtG27fvs13WoyMjESVKlUwdepUFBUV4cWLFxgzZgx0dXURHx8vZNj4/Pkz2rVrh3LlyqFz586oUKGCRAfcKVOmoFy5cti6dSvu3r2LuLg4tGjRQqIDoxD7y5fbPHbsGN985tixY9DR0cGKFSvw+PFjVKxYET4+PnzHehGhmwTt3r0bU6ZMwfLlyxEdHc0v9/X1hZ2dXZkJPSBckyDRMRko6VtjZWWFSZMm8cuGDBkCZWVlnDx5Ek+ePMGjR4/QokULODk5/fZNasoiSubvJnzAi0+5gj3uJnz4R8n8X3/9hdatW8PIyAhEhH379v3j786SeYYpg/gJYNasWfD394e7uzvGjh3LtyW+f//+VxN6QNg2oX369MH48ePx6tUrDB8+HHXr1pU4CcyePRtt27aFv78/Ro8eLXjHLnHjxo1DpUqVcOTIEVy9ehXe3t7gOI4v448fP6Jq1aqwtrbG8+fPBY72b+7u7uA4DoMGDQIAibbBp06dgo2NDczMzODi4oIOHToI2iFNPElISkqCjY0NfH19cebMGQAlNYAWFhaoU6cOjh49isOHD8PHxwcuLi6C11SK27NnD7S0tGBubg5dXV0MHToUiYmJSE1NxdSpU1GhQgWYmpryZX/z5k2hQwZQUv6mpqZQUlLCtm3b+GUAkJqaivDwcGhqakJfXx916tRBkyZNZKazq3hfhFevXiE7OxsNGzbE+PHjAZTUJDs4OIDjOHTv3l3aoX5VWFgYDAwM0KBBA9jb20NHR4fvAwIAbdu2Re3atbFq1SrB+1J86ciRI3j+/DkGDBiAevXqYcqUKQBK7th06dIFGhoa0NfXh5OTExo2bPif6OxaFnlN5o8ePYrRo0dj7969LJlnmJ/hy9qniIgI6OjoYNq0aejatSsaNWoEGxsbvsPUw4cPUalSJbi7u/PNQaStuLhYIu74+HhYW1vzidnHjx8xdOhQuLi4SNTQZ2dnS3yOLBz4P378iEaNGuHYsWMAgEOHDqFixYp8p1FRk4+kpCS0bdtW0JjFE5zi4mKMGzcOI0eOhKKiosSFkyjGzMxMvHnzBm/fvhW0M52o+QwAbNiwASkpKThz5gwaNGiAdu3a8c0m7t+/jyZNmqBy5cqwtbVFixYtZCJJEJXdy5cv4ePjg5UrVyIjIwPz5s2Dq6srunbtioSEBADAs2fPsHHjRhw/fhyvXr0SLGZAcn9JTk5G06ZN0bhxY2hqavKjHYn/lu/cuYPY2Fjcvn1b0M7R4nHPmDEDwcHBuHPnDr/s1atXsLS05O/spKeno3v37njw4IFMHFOAkuOInp4e30zl1atXmDVrFsqVK4f58+fz63l6eqJLly5ChckTL/OoqChwHIf379/jzZs3GDRoEOrWrYvp06fz65w7dw6nT5/GlStXZKYjvRDkNZkXx5J5hvnJHjx4AFtbW/4kBQBXrlxBx44d4ejoiCdPngAA7t27By8vL8Hb4QIlNe49e/bEwIEDUVxczJ9MRQm9m5ubREIva16+fAkdHR08ffqUb4MrPuLOzJkzcf/+fYn3CJ0wLFmyBJcvX+afL168GAoKChIJPYBSI2YIsb9cvHgR5cqVw5MnTxAaGgojIyO8ePECQMlQpe7u7mjXrh3++usv/j1PnjzBmzdvZCpJuHr1KgYPHgx/f38kJyfzy1etWgU3Nzd07dq11H4iK/bv34+UlBTk5+cjKysL/v7+0NTUxNWrVyXWe/PmjcRzoY8voaGh0NfXx/bt2yWaz+Tl5cHc3BwtW7bEzp070aRJE7i5ufHxCv37BIBFixbB1dVVYllGRgbGjRsHe3t7iTurQpezeMXM3bt3MWPGDBw/fpxf9u7dOz6hF9XQf0no7yAUUTJ/L+EDXibnCva49//J/KtXr5Cens4/cnNzv/sdWDLPMP9Cs2bNsGnTJollN27cgJqamkSnIwCIiYmBvb09X3ssTpoH0TZt2iAkJIR/npqaij///BPKyspo1aoVAPBj3gMlCf3w4cNhYWGBdevWSS3Orymr3W92djb8/f0xaNAgaGhoSAyvGR8fD19fXxw5cuSr75e2oqIi1KxZE1WqVOE7NBYWFmLJkiUoV64cxowZg9evX6N169YICAgQPOaPHz/ijz/+gIaGBrS0tPgabFFcooS+Q4cOEm2KRWQlSRg/fjwqVaoEExMTvqOlyOrVq/m7DF9O5Ca0169fg+M4dOzYEZ8+fQJQMsxnQEAAtLW1ceHCBeTk5CAwMJDvpC70PgMABw4cQOXKlXH9+nV+WXZ2Nt9s6cqVK7CysoK9vb1EkyChJ4QS2bZtGwwMDEr1lzh9+jS0tLQk+rh87TN+tcjISInnx48fB8dx0NPT4/upiC6M3r17h8GDB6NevXoYNWqU1GOVVbKWzH/5EDVF+xaWzDPM/yglJQUrVqwo1U7y5cuXcHJywuLFi0u9ZmlpKXgN940bN0rF9fjxY4SGhoLjOGzZsgWAZEKflJSEBQsWCF5bJn6yTElJQUZGBv98xIgR4DgOf/75J78sPT0drVq1QrNmzWSmaY1Ifn4+PD09YWFhwSc7hYWFWLNmDRQVFWFraysxc6TQpk6dCo7jUKFCBb4TsXhte3R0NDw8PODp6SkzbczLMm/ePJibm2PQoEGlmtAsWrQIXl5epWq3pa2sRPzChQvQ0tJC586dJRL6Tp06geM4ODg4wMrKSmb2FwBYtmwZ6tSpA6Ck+dXUqVNhbW2NChUqYMCAAQBKxpV/9eqVoE3IxH+fR44cwd27d1FQUIC4uDjUqVMH4eHh/AUsUHK8rFmzZqm7ItJ248YNNGrUSKLMHj58iGHDhkFZWRmrV68GUPL9RMe/pKQkdO3aFX369JGJCz5ZIGvJPKuZZxiBTJ8+XeLWZefOnWFjY4Pjx4/zB9H09HS4uLiUOcOkEObNmwd3d3f+eUJCAgYNGgR1dXV+5kjxhF5E6IQeAH+bu169ehK1FsHBwTA0NESHDh3Qu3dvvtOa0CPuiIguPkQn0fz8fHh4eEgk9EBJsnDixAlBJ235cmKixMREXLx4EV27doWGhgbfXlv8wvDs2bPo27ev4OUM/B3358+fS/XziIqKgqOjI8LCwkol7mlpaVKL8Xu+/BvExsaiQoUKEgk9UDKq0Jo1awTtkF5WYhgdHQ1TU1M0bdoU5ubm6Nq1KxYuXIj9+/eD4ziZaEImHndkZCQqV66MzZs387/VuXPnwsbGBn369MGhQ4dw8+ZNtGjRAu7u7jK1n+/YsYNf9vTpU/Tr1w9KSkrYu3cvv57oeJKcnMzHzhL6v5P5+wkfkJicK9jjPmszzzDS9eUBMDQ0FCoqKvyQa0BJExxra2v06tUL06dPR5MmTSSGFZS2L5Pw6Oho6OrqonXr1vyy58+fY8iQIdDS0sLOnTulHeIPWbt2LUxMTDBv3jwMGzYM6urq6NatG//6vHnz0KdPHwQHB2Py5MkyM+LO8uXLYWNjg8TERAB/70O5ublwdXVFrVq1cO3atVJ/J6FHISkuLpZI2N++fYugoCBoaGjwTYSAkk6O4gmmkImOqGyPHDmCDh06wMbGBqNHj5boxzJhwgQ4OjoiMjJS8E6uZZk2bRoGDhxYaljJ8+fPQ1VVFb169cLbt29LvU/o/SU5OZnvj1BQUIA9e/agc+fO2LRpE9/Z/9mzZ3B1dS1zmFhpEi+rSZMmwcDAALGxsXyHeZGNGzeiRYsW4DgOtWvXhoeHh8xUEADAixcvwHEcfHx8+GXPnj3DgAEDoKWlxSd5xcXFEvHKQuyygCXzDPMfdPfuXf4kOnz4cNy+fRvJycmYPHkyNDQ0JIYtGzt2LPz8/ODh4YHu3bvLxKged+/elUgMDA0N4e3tzb/+/PlzDBs2DBzHldn+Wdq+POFs2bKFbwqUm5uL/fv3Q0NDA127dv3qZ8jC3YSEhARUq1YN9evX55NH0Xc7cOAAOI6DkZERHj58KGSYEuW9ePFiBAYGwtvbGwsXLuSXv3//Hh07doSqqioWLFiARo0awd7eXibKWWT//v1QU1PDqFGjsGDBAjRp0gQeHh7YtWsXv86kSZNgZmaG8ePHy1TsALB+/XpwHIdRo0aVShwnTpwIjuMQEBDAj5EvlC/nefD09ISenh6Cg4MlaouBkuQ+PT0drVu3RsOGDQVLJkNDQyWep6amolGjRnyn+devX+PcuXPo1asXFi5cyCdXDx48QHx8vOCdur92F8TIyAi+vr78sqdPnyIkJAQ6Ojr8nBtMaaJk/sGLD3iVkivY48GLf5bMZ2Zm4tatW7h16xaICHPnzsWtW7dK9Qf6FpbMM/85xcXF/JCSU6dORb9+/cBxHD/c2vv37zFp0iRoampixowZ/PsKCwslbvMLWUN8+vRpcByHDRs28CeEc+fOlUroHz9+jPnz5wtemy1+0tq4cSMWL14MFxcXLFq0iF9eWFiI/fv3Q1NTE7169RIizFK+lqS8evUKVlZWcHV15WvogZLJc8LCwhASEiIzSWV4eDiMjY0xfPhwTJs2DRzHYcyYMRIzuw4dOhR16tRBu3btZKqm8sGDB6hZsyaWL18OoKSpja6uLqytreHm5obdu3fz686cOVPweQe+VmZbt26FoqIiIiIiJNrCL1iwAIGBgWjWrJlMlDdQ0vRNR0cHGzZswJw5c9ClSxeYmpryQzjm5ORg06ZNaNSoEZycnATbX86dOwcfHx+JY9vbt29hZ2eHSZMmYefOnQgKCoKHhwfq1KkDBwcHREZGljoWykK5z5gxQ2IW1zNnzkBPT08ioX/27Bk6d+6M5s2bCxGiXJDXZD4mJqbMDrPid6q/hyXzzH/WokWLULFiRaioqODUqVMA/k46RQm9lpYW5syZU+q9stA+cejQoVBTU8OmTZskEnojIyOJ27QislD7NGbMGJQvXx716tWDuro6vL29JWokCwsLcfDgQXAch2nTpgkRLk/8JL9nzx7MmjULe/bs4WfrTExMhLW1NZydnREdHY3Hjx/Dz88PY8eO5d8ndEK/bds2WFhY8G2aT548CUVFRSgoKODPP/+UaIaQlJQkWOdF8X1E/N+iITRTU1ORmJgICwsLDBgwAFeuXEHVqlXh7OyMDRs2SDXWrxHfXy5cuID9+/fj4cOHSE1NBQBs2rQJ5cqVQ1hYGJ49e4asrCy0bdtWohmc0Inl27dv4erqyve1AUoGApg4cSKqVauGU6dOITMzE2vXrsX48eMFbfqWl5fH7yuiibeAkmZXlStXhoaGBiIjIxETEwOgpB+OeKd6WdKjRw8oKipK3AERJfR+fn78stevXwu+j8gyeU3mfwaWzDP/OaKD4eHDh6Gvrw99fX1MnTpVooYVKElupkyZAo7jJE5u0vatC4cRI0agfPnyEgn9+fPnwXEcRowYIa0Qf8jTp0/h7e2NGzduIDk5GTExMahYsSI6deokcdArLCzE+fPnBb2bIF7mI0eOhKamJurUqQMzMzPUqFGDH10iOTkZzs7O/DCJderUEXQUki9P9Bs3buTvfhw5cgRaWlpYvXo1du/ezTf9EB9JqKzP+NVEZf3x40e+2dLOnTtx9uxZAH/PONqrVy907twZmZmZAICAgACYmJjAz88PaWlpMnGBDZQ02TMwMICOjg6sra3RrFkzfhzz3bt3Q0VFBebm5jAzM4O9vb3gd83EJSUloVKlShJDwgIlTcvc3d0xe/ZsAJAYlUOIC9YvR33R09OTqLGOi4srNSt38+bNERYWJrUYv+Zrv68hQ4ZARUVF4lxz5swZGBoawsPD44c+47/u72T+I16l5An2ePDiI0vmGeZX+fJkn5OTg+zsbMyfPx8mJiYYP358qQ50eXl5WL16tUyccOfMmYOTJ0+WWj58+HAoKytj69atfJy3b98WvFZY3KxZs1C7dm00b95cYgZS0TB9nTp1KpVUAsJ3dr106RLq1avHzzUQFxeHESNGwMjISKJG+MyZM4iJiRF01BpxI0aMwJYtW5CRkYGEhAS8f/8ejo6OfD+Qx48fQ1dXFxzHSTQlE0JxcTFSUlJgZ2eHiRMnYvny5eA4TqLZQXFxMTw8PBAeHs4v69OnD+bOnYukpCQhwuaJH1eOHTuGmjVr4ty5c3j79i22bdsGLy8v2NnZ8RMt3b17F6tXr8aqVav4/USI32pZFz+pqanw8fHB4MGDJX6nQMm8Ft/qzyKElStX4tixY9i9ezdsbGwkmhgCJSMaXb58GT4+PrCzsxP8dymurM7agwYN4hN6UcJ+7Ngx+Pj4sAT+B7BknmF+c+IHwtTU1FIH0unTp8PExARRUVF8Db2fn5/EtOVCNj0AgJYtW0JDQ0Nidk6RZs2awcjICKtXr5Z4n6wk9Pfu3YOOjg7U1NT4oRBFYmNjUalSJbRs2bLU0INCWrZsGbp06YK2bdtK/O0TEhLQt29feHl58bXG4oROzA4fPgxjY2OcOXOGXxYXF4fq1atLNBEKCQkR/A6IuCVLlkBfXx8cx/Hts4GS8szKykKnTp3g5+eHtWvXIjw8HCYmJoKPIy9u27ZtGDx4MAYNGiSx/MKFC2jUqBH69etX5jjTQo9a8/79e4nEfcWKFdDS0sK8efP4/TszMxP16tXDxIkTpR6rOPG4Fy5cCDU1NcTHxyM7Oxv79u1DtWrVJJoYHjt2DHXr1oW3t7dMDFogIrozdv78+VKv9enTB9ra2tizZ0+pWFlC/22iZP7hy494nZon2OPhS5bMM8xPJ34AjIqKQoMGDVCxYkUMGDBAoqZ7xowZqFq1Knx9fVGvXj0YGhrKxMQt4glLcHAwtLW1+SYIQMn36927NywsLODp6SlAhJK+POGIEs1Hjx5BS0sLrVq1KnUL/MyZM2jRooVMDIMoEhkZCQUFBZiYmJSaSXTXrl2oUKGCzM0wevDgQfTr169UbXt8fDw4jsOUKVNw6dIleHt7o3nz5oJO8CMi+ps/f/4c6urq0NbWxuTJk0uN5HD8+HG0aNECFhYWqFGjhuATWomPHV9YWAg3NzdwHFfmb3DUqFGws7MrNVSi0MaOHQtbW1tUq1YNDRo0wMWLFwEAs2fPhp6eHlq0aIHg4GA0aNBApmq2r1y5ghkzZvCjYQElTX9ECX2bNm345ZcuXRJ81Jovj2tFRUVo06YNDA0N+dldRfvTlStXoKioCI7jcPr0aanHKs9YMs8w/wFjxoyBvr4+1q9fj9OnT6N69epo2rSpRKejNWvWYOjQoejfv79gnbvED/zLly9H69at+ZMsAAQGBkJHRwdnzpzh2w8HBQXhzp07grcbFo/90KFDWLRoEZYvX467d+8CKKmh19TURJs2bfhmB9/6DGkR3+aDBw/4fy9atAja2toICwvDixcv+OV3796FlZWV4AmleNzPnj2Dk5MTtLS0+NmJxSeYWbZsGRQVFWFlZYW6devyF6pC7jOibX/48AFFRUV49uwZlixZAhMTE4wZM6ZUQp+dnY3Xr1+XagIibV/WbAMlE4cFBQXBwMAAa9eulbjLtH//ftSsWZMfn10o4nGvXbsWFStWxKpVq7BlyxY0btwYpqam/PFw7969GD16NAICAhARESEz8zzExcWB4zhwHFeqbb9oiFtra2u4urpKvCYLtdoHDhzgm+wVFRWhXbt20NXV5RN6ALh16xZGjx6NefPmCV7W8oYl8wzzmzt9+jRq1KjBHzQvXryI8uXLo3r16qhXrx4/ux4gebISMpGPjY3F4MGDoaysjICAAImZRTt37gxlZWU0bdoUDg4OsLOz45M2WThphYWFwdzcHA0bNoSfnx8UFRX5USUePnyIihUrom3btoiPjxc2UEiW18SJE9GkSRMcPHiQXzZt2jQYGxujV69eOHnyJK5evYqWLVuiTp06gpa1aJQUoGTow/z8fOzduxcuLi6wsrLiJ4IST9afP3+OO3fuCF5TCfwd16FDh9CoUSOJcePnzp3L92MRJfRRUVFlNjGTNvG/+cyZM9G5c2e+OV5+fj5atWoFe3t7zJs3D2/evMGLFy/QpEkTNGvWTPCLbZGDBw9i8eLFpUYCCg4OhomJyVeH+JSV5HLnzp1QU1NDjx49kJWVJfFaXl4etm/fjsDAQMGPheLbv3//PipUqIA//viDrwQQJfTa2tpYs2YNzp49C19fX4m+CbJS5vJAlMw/evkRb1LzBHs8Ysk8w/waDx484Ef1OH78OD+OckJCAnR0dNCoUSOJDndCCw0NReXKlREeHo7u3btDRUUFfn5+uHbtGr/OvHnzMGLECISGhgrake5LmzdvhqGhIa5evQrg70lzNm/ezK9z//59cByHkSNHChUmgNKj1ujq6uLo0aNl9qlQVVWFkpISAgMD0a1bN0HHYz99+jSqVKmCT58+YejQodDX1+cnQNu7dy88PT3h6+vLt5H/csZIoeIWxSKyZ88efsZl0d0bkdmzZ6Nq1aoICgpC165dwXGcxAWtEMRjDw0Nhb6+PrZt2yZxlykvLw8+Pj4oV64cqlatig4dOsDHx4dvLy90gnnv3j1oaWmB4zgsWbIEQMlgACI1atRA//79AQgf67e2v2nTJigqKmLMmDGljnvizSNlYT8fM2YMRowYAWNjYygpKaFt27YSd/X69OkDXV1dmJmZwc3NTSaad8ojlswzzG+krIN3dnY2kpOT8fnzZ3h7eyMqKopfz8PDA4aGhjIxbBkAXL16FXp6ehK1kOfPn4eBgQHatGlTqgOpiKzU4IwfPx5DhgwBUJKsqaurY+XKlQBKDraiDsYJCQmCxXzr1i2J5+fPn4elpSV/AZKTk4O3b99ix44dfKKzYMEC6OrqYsaMGXxzCaHiT09Ph7u7O4yMjKChoVEqEd6xYweaNGkCPz8/xMXFCRLjl77sX5CQkABbW1t+QqiioiIUFhbizJkzfDKzatUqdO7cGa1atZLojC5togslkX379qFy5coSFxefP3/mL57y8/Ph7+8PU1NTrFmzhm8rn5eXJ72gvyItLQ0bNmyAmZkZWrVqxS8XlXlQUBB69+4tVHg88eP43r17sXLlylIT4K1fvx6KiooYN26cTFRklGXevHnQ0tLChQsXcPPmTezfvx86Ojrw9/fn754BJc2HHjx4IBN3zeQVS+YZ5jchfgKIi4vDvXv3JH5QGRkZqF27NubOnQugJGnr3r07Dh06JHgtlMjt27dhamrKH+hFJ6mYmBgoKCigU6dOEm3ohbx1Lyoz8RgiIiIQEhKCffv2QV1dnZ9aHSg5+Y4dO1ZiGEppn7T++OMPDBgwQGLZ8ePHYWRkhOTkZDx48ADh4eGwtLSElpYWatasySc6UVFRMDU1LbODpjSIl/Pw4cPBcRzMzMz4Ownir+/YsQPNmzeHh4cHnjx5IvVYxc2aNQutW7eWaBIRFxeHqlWr4uHDhygsLMSsWbNQv359VKhQAba2tkhOTgZQ8hstaxQYafH19eWPFyILFy6Ei4sLgJK7TNOnT4eNjQ3U1dX5fSsvLw/NmzdHnTp1sGfPHkE6v36tM3p2djY2b94MLS0tdOzYEcDfxxlnZ2cMHDhQuoF+QXw/Fs1g7OnpCVNTU9SvXx9Xrlzh492wYQPKly+PIUOGyMwxXFzHjh3Ro0cPiWVnz55FhQoV0L59e1y+fLnUe2T1wkTWiZL5+MSPeJuWJ9gjPpEl8wzzU0REREBPTw9VqlSBlZUVHj58CKCks1qjRo3Qvn17TJ06FS1atICzszN/EhBqwhxx9+/fh6amJj9SQ35+PoqLi5GVlQVLS0sYGhqiY8eOfC3y1z5HmsTvFqxdu5ZPbERNm4CSGkFvb29ERkYKESLvxYsXfA2pqFNrQkIC3NzcYGlpiUqVKqFPnz5Yv3493r17hwoVKmDjxo38+0VNbmbOnCnVk674vllUVISEhARcunQJDRs2lNjHxWPatWsXBgwYIHiSk5iYiEePHgEAPn36BABISUmBp6cn7O3tYWZmBj8/P0yYMAEvXryAnp6e4MMgiuzevZvfX0SzFZ88eRImJibw8vKChYUFunTpggULFmDXrl3gOI5P0PLy8tCmTRuYm5vjwIEDUo37y470gwYNgq+vL/bt28f/DUQJvYODA9q1a4fg4GBYWVnJTK3wvHnzYGxszFds7N27FxzHwcnJCZcuXeL39aVLl6JBgwaCHwfFFRYWori4GB06dEDnzp0BlFRciCoGpkyZAmVlZXTv3l2i+aQsfQd5w5J5hpFz4gfAmJgYVKlSBadOncKhQ4fQtm1baGtr851fz58/j6ZNm8LV1RWtWrUSrO2z+PY+fvwoMfJIREQElJWV+U6jQMmBqnfv3ti2bRuqVauGjh07StTQS5N47Ddu3ADHcXxTGqBkdk5NTU3s2LEDz549w/3799GyZUs4OTnxiYIQJy3xRHf58uVwd3fnx3q+desW5s6di8OHD/N3DlJSUuDq6oqTJ09KfOe5c+dKdVjKL7cdERHB17Z/+vQJ9erVg7W1tURMCxYskGjWIVRCL17mFy5cQOPGjfkhYS9fvoyoqCjMnDkTb9684feJVq1a8bPsyor58+ejf//+SExMRE5ODrZv347g4GBs3LiRvzPy5MkTuLm54cGDB/z3zsvLg7+//1c7lf5qoaGh0NXVRZcuXeDt7Q1tbW0MGDAAT548QXFxMTZt2gQbGxtUq1ZN0Hk1vpScnIxhw4bxF9J79uxBxYoVsXjxYtjb28PJyQmxsbGl4hQqGf7a72v16tXgOI5vNimKb968efD29ka1atUQHBws+MhYvwNRMv848RPepeUL9nic+Ikl8wzzbyxduhTLli3DrFmz+GXp6eno2LEj324RKBkJJDs7WybG2Z40aRJcXFzg6emJmTNnIisrCzk5OejRowc4jkNkZCRmzJiBpk2bwsnJCQBw/fp16OjooFu3bhKd16RB/GS5dOlSDBkyBMrKyihXrhwWLlzIv9ayZUvY2dlBSUkJbm5uaNiwoUxN3HL37l1+1kjRcHEieXl5eP36Ndq0aYO6devy8Qo9IVRYWBh0dXWxdetWiU66qampcHNzg5mZGdatW4emTZtKjHAkK54/fw5LS0s0b94c586dK/V6dnY2xo0bBwMDA0GbBpWVEM6ZMwd6enoYOXIkP/eDaL3CwkJkZGSgdevW8PT0lJl2z+fOnYOpqalEze+GDRtgb2+P0NBQFBUVIS0tDZs2bULlypXRrVs3fj2h953i4mKcPHkS79+/R1xcHCwtLbFgwQIA4O+AVK1aFffu3ZN4j1Cxihw6dAibNm1CbGwsfzHdtWtXqKur4+jRo0hJSUFGRgbatGmDbdu24dy5c7C2toaPjw/f54L537BknmF+A2lpaXB2dgbHcRg2bBiAvw+yooReR0dHorYbELZpzerVq6Gjo4MlS5agQ4cOcHd3lxhubf78+XByckK9evXg6+srUdN6/fp1QROeUaNGQV9fH5s2bcKyZcsQGBiIChUqYM6cOfw6cXFxOHr0qODDIb5+/RpxcXFYu3Ytrl27xidjDx8+hJ2dHby8vPiJuIqLi7F27Vo0adIErq6uMnMBsmnTJpiYmEic8HNycvgJuAoLC9GyZUs4OzujRYsWgo62IyLa1x8+fMj3MXjx4gUcHR3RtGlTiUlxDh06hK5du8LY2FjwWsr09HS8f/8eV69exbt37/jlS5cuhbGxMcLCwvia9s+fP2PTpk1o1KgR6tSpI2i5f7nN06dPo2rVqnj69KnEaytXroSamhrf9CkrKwubNm1ClSpV0K5dO6nGDHy9rETLV61ahYYNGyIpKQlAydCUw4YNQ/fu3QX/XX7Zj8XAwAAGBgawt7fHkCFDkJubi7S0NPTr1w/lypWDjY0NzM3NYWtry/cFOX36NBwcHASfh0DesWSeYX4T8fHxaNu2LYyMjPiTrehgm5GRgRYtWsDLy0uQ2L6sNTpz5gwiIiKwe/du/vWFCxfC1dUVXbt25Q8EqampKCgo4N8vakMvpLdv38LR0VGiLfnLly8RGRkJVVVVLF26tMz3CZHg7N69G15eXjA2NoaamhoqVKiAevXq8e1wHzx4ADs7O7Rs2ZK/FR4TE4OlS5fyiYK0L0Dq169faqjU6dOno0WLFgBKRoZZuHAhqlevDktLS4mRmF6/fi0Td5xEMezbtw81a9bExIkT+TbnL168gIODg0RCHxMTg0mTJgk+98DBgwcRFBQEfX19cBwHKysriQ7Tixcv5hP6Fy9e4PPnz1i9ejXGjBkjMxMrRURE4PTp0zh+/Dg0NTX52mvRXbyCggKYmppK/H6zs7OxevVq2NraSsw6/at9WbkxZMgQTJgwAadOneKXjx49Gubm5nj58iVSUlLQunVribuvQiX04rHfvn0bTZs2xc2bN/H27VtMmzYNdevWRe/evflyP336NDZs2IC1a9fy+4gooZe12YHlEZ/Mv/qEd+n5gj0ev2LJPMP8kC+TQtHBvLi4GE+fPkXDhg1RpUoVfhhE8VEchKqpFI3OAQDR0dGws7ODoaGhRO1kfn4+Fi1aBHd3d3Tt2lViYiBAdjpHvX//Htra2hLNaoCSZhROTk7gOI4fchAQLu6VK1dCW1sb8+fPx19//YW8vDzMmjUL9vb2qFixIt/84OHDh6hVqxa8vb35GnoRIRKFbdu28Sd5UdktXLgQtWrVQufOnWFnZ4eOHTtizJgxfPOPL4enFLrTK1CSGCsrK2Pp0qWlhnd8/vw5HB0d0bx5c0RHRwMQPglevXo19PX1ERUVhe3bt+PKlSsIDg5GxYoV0bRpU369JUuWwNTUFCNHjixVmyrE/iL+tz58+DCUlJT4TritWrVCtWrVJI4lb9++hbW1NQ4fPizxOdnZ2VJNQL4cBUtTUxMtWrRA/fr1wXEcpkyZAqBkhmBjY2Po6enB3Nwc9vb2MjEWuyj+bdu2oXXr1ujWrRv/t8jNzcX8+fPh4uKCnj17lprcCpDcV2Tl2C7PWDLPMHJE/MS1YsUK9OnTBx07dsT+/fv55c+fP0fDhg2/OmyftBOd2NhY2NraSrTZHzVqFAwNDdGlSxeJE1N+fj6WLFkCS0tLREVFSTXOsojKTbz8CgoK0KVLFwQHB0tMmAOUTIAimhp+z549Uo1V3MqVK6GsrMzf+RB37NgxODo6wtbWlo//8ePHMDAw4JtoyYJJkybxo7qkpKRg/PjxaNu2LVauXMk3sbpw4QJcXV1LTXQltOTkZDRt2pSvQc3Ozsbr16+xfPlyvtb1xYsXqFq1Knx9fQWvmVy+fDmUlZWxfft2ieVpaWn8WOHBwcH88lWrVkFBQUFixCZp+zIB3LBhAxYsWMBPBgWU9A2pV68ejIyMsH79emzYsAGtWrWCo6Oj4E1URG7cuIGAgABcunQJAJCZmYkVK1agXLlymD17NoCSY+aiRYuwbt06we+AnDp1ih9NLDs7G/3794epqSmcnZ0l1hMl9PXq1UPbtm0FHWL1v4Al8wwjB748cYWHh8PExAS9evXCkCFD+BkNRYn68+fP0bhxYygrK+P9+/dChMw7c+YMvL294eLiwo+ekpGRgTFjxsDZ2Rnh4eGlEvrdu3cLfrIVv+j5/PmzxMlz7dq1qF69OkaNGsW3287MzET79u2xatUqtG/fHt27d0deXp7Ua51iY2PBcRwmTZoEAGV2YF23bh0qVqyINWvW8MtevXoleJmLmzlzJjiOw4wZMwCU/AZE/SZEw5W2adMGXl5eMlETL+7z589wdHTEhAkTkJOTgxEjRsDDwwOmpqZQUFDgR6tJTEwUbKQXkRMnToDjOOzYsQMASvWTSE9Px/Dhw2FoaChx5+bAgQOC7i8FBQX89t++fQsLCwuJGm2gZD9JTExEr169YGlpCUdHR/j6+spMX5AdO3bA1dUVDg4OpY7Tc+bMgY6OTpkTnwkV94cPH+Dl5QVbW1t+0rCUlBSMGTMGVatWRXh4uERsubm5mDx5Mvr06SNzv9HfjSiZf/LqE5LS8wV7PGHJPMOU7cvhDDdt2oSqVavytSOik7GCggImTZrEr/fkyRMMGDBA8BMWUDKyRPv27eHo6Mgn9Onp6YiMjISrqyvCw8PLrGkSKnbxE8/8+fPh7e2Nli1b8rO7AiXDJNrZ2aFu3boICAiAs7MzHBwcAACDBw9GvXr1BLl9fObMGbRq1Qpubm78SDVl3WGoVasW+vTpA0CynIVuKiFu0aJF4DgOM2fO5JdlZmZi7dq18PLyQu3atWWqs+vTp0/5zq7jxo2DhYUFVFVV+TsKANCtWze0adNGJmoqi4uLsXz5ctja2qJ79+58+2bxpntASZ8QVVXVMofMFGJ/OXjwIDp27IhGjRohIiICQMl+7+TkhOrVq/NlK75PJCUlIT09XSb6VIisWbMGrq6uUFVV5Zu9iWK+efMmjIyMyhz5SEgnT55E+/bt4eTkxM+xkZKSgpEjR8LV1RWjR4+WKHfxfk4sof91/svJvAIxjIyLiIigmTNnUn5+PnEcR58/f6bU1FSKjIwkFxcXOnz4MAUEBNDKlStp7ty5NH78eFq8eDEVFxeTpaUlLVmyhBQVFamoqEiQ+AEQEVGDBg1o8ODBZG5uToMHD6YLFy6QpqYmRUREUNOmTen8+fM0aNCgUnEqKioKETYpKJQcHiIjI2nGjBlUv3598vHxoY0bN5K/vz8REQ0bNoxmz55N/v7+VFxcTE2aNKHLly8TEVFKSgrZ2tpSYWGh1GNv3LgxRUREkLGxMYWEhNClS5eI4zj+b0FElJOTQwDIyMiIiCTLWdplXlxczJf3jRs36Ny5c5Sbm0sAaODAgTR//nwKDw+nOXPmEBERx3H08uVLql69Ol2/fp2UlJSosLCQ/wxpA0Acx9H+/fspMDCQ9uzZQ/n5+dS3b1/asmULbdiwgXbt2kV9+vQhIqKioiKysLAgJSUlQeIVx3EcdevWjcLCwujevXvUrVs3ysvL448ZHMcREZGWlhZVqFCBfy5O2vvLihUr6I8//iA1NTUqV64czZ49m/744w9q3LgxzZ07lziOo0aNGlFeXh4pKChQfn4+ERHp6+uTpqYmcRxHxcXFVK5cOanGXVxcXGpZz549aeTIkWRra0vh4eF08+ZNfj82NDSk8uXLU3p6ulTj/BrR8aN58+YUEhJCJiYmNGDAALp69Sppa2tTeHg4NWzYkKKjo2nChAn891VSUuKPP0L9Rv9LOE74h9RJ7bKBYf4Hubm58PPzg7u7OxYuXMg3MXj27BmeP3+OV69ewc7Ojp9u/datW1BRUQHHcVi7dq2QoUsQrw0+e/ZsmTX0ISEh6NOnj0x1hNq3bx9sbW35yakOHDiAChUqQEVFBY0bNy7zPW/evEFkZCQqVqwoMQa0tHytrEXtcUW1qHfv3oWnpyffCVAWyj00NBQmJiZQU1ODq6srdu7cydewLliwAIqKinwbdPFhSmXhztOBAwegoqKCBQsWlOrsKpKYmIjIyEjo6Ojg/v37Uo6wbKK/e25uLlavXg1nZ2cEBQXx5SuqvT579izc3d0FHzZz9erVKF++PA4dOgSg5C7NkiVLwHEcjh8/jsLCQpw6dQoODg6oV68e/z2ErhEW/30dPHgQBw8e5Ds+A8CWLVvQqFEj2NvbY8uWLdi5cyd8fHxkYr4E8djF/x0dHQ1fX1+JGvrk5GSEh4fDwsICK1askHqs/2Wimvmnrz/hfUa+YI+nr1kzG4bhiQ6aWVlZ6NGjB1xdXTF//nyJW/MXL16EnZ0dP17yo0ePMHjwYBw4cEAmbiGLKyvJrFOnDt8pNisrq8ymIELavn07pk6dCgA4cuQIPyb+yZMnoaioiKCgIIkTbXp6Ov7880/UrFkTt27dEijqssvawcGBb3KTn5+PVq1aoVWrVoImOeLbPnr0KGrVqoVTp07hzp07aNWqFVxcXLBmzRp+n1+4cCE4jsPmzZv598nCvvLhwwfUq1ePv6j+/Pkz3r17h02bNvHDfR47dgzdu3dHtWrVBN03ylJWQh8YGMg3ucnOzkarVq0QGBgo6P7y9OlTVKpUCc2bN5dY/vDhQ+jr6/MXpqKEvk6dOrCyspKpY+HIkSOhra2NypUrw9raGiNHjuRf27ZtG2rXrg0VFRX4+Phg8uTJ/L4vREJ/8+bNMo/J4v8+c+YM/Pz8UKdOHX4EoU+fPkkMbctIB0vmGUZGiQ6GWVlZ6N69O5/Qi2qb/vrrL3Ach02bNuHu3bvw8fGBr68v/35pn8TKOtF/7STw119/wd/fHyYmJhIdvGRhFkNxCQkJSEtLg6urKyZPngygpKOopaUlOI5DSEiIxPpJSUlSHaf6a8pK6J2cnHDp0iUEBASgRo0agrU1F5+ICCiZqj4sLIzvsAuUJMSifghr167lk5qdO3fKxPjx4nJyclC3bl1Mnz4dWVlZiIiIgIeHB4yNjaGgoIA9e/YgLS0Nu3fvxosXLwSI+vvKSug7deqE3NxctG/fHnZ2dny5C5XQf/r0CfPnz4e+vj5GjBjBL9+0aRPU1NQk7nYUFhbi8OHD6Natm6BJpXgy/Pr1azRq1Ah37tzBvXv3sHDhQujp6WHgwIH8+jt27EDTpk0RFBTEHxfF70JJS0REBKpXr45jx479UELftm1buLi4lGrfzxJ66REl889eJ+NDRoFgj2evk1kyzzBA2SfLzMxMdO3alU/oRbVmERER4DgO1apVk5iBUdpJsfj2Nm3ahF27dvHf42sngZMnT2LUqFGCH/DFy/v58+dITk6WOIHeu3cP5ubm/Mn17du36Nq1K65evSroWMn/y8WTaCIg0X4i7cS4W7dufGfWoqIiZGdnw9bWFhzHoXPnzhLr5uTkICAgAK6urli0aJHEiEdCXaiWNcdDRkYG+vfvD0dHR6ioqMDPzw/Lli1DcnIyAgIC0LFjxzLfK23f2/6XCb2rqys4joO1tbXMjP6SlpaGxYsXQ0dHB5MnT8aZM2egrq7OTwBVXFxcZmdLoTt1p6am4vbt2wgKCkJmZia/bPny5dDV1cWgQYP4dTds2IAmTZqgffv2/Igx0vbu3TvUq1cPDRs2/OGE3sPDAz169Cj1GiMdLJlnGBkifgJ49OgR3r59y4+hnZGRgW7dupWqob927RouXbok2Iyd4jG/ePECxsbGaNSoEY4ePfrdhF5E6CQBAEaNGgU7OzsYGBhg1KhRfPvgT58+QVdXF3/88QdiY2PRvHlzNGvWjP9uQsT+by6ehByneuPGjXxiKJoR9dOnT2jevDmqV69earjDnJwcNGnSBL169RI8Qbh79y5at26N06dPlxrX/tmzZzh16hS2bt0qcSEYGBgoUYssFPHf6KFDh/j+Kl8ST+gXLFiAbt26CXbh9zWpqalYvHgx9PT0wHEctm7dCkB24vvSmDFjUKtWLdSvXx8ODg4STSXT0tKwYsUKGBgYoEuXLvzynTt3ok6dOujcubPUa+ZFv78PHz7A3d0dDRo0wNGjR7+b0N+4cUPwC9b/Mj6Zf5OMD5kFgj2evWHJPMPwwsPDYW5uDmNjY9ja2mLVqlUASprciBL6BQsWlJpsRsikODQ0FH/88Qfq1KkDTU1N1KxZE0eOHCkzyZQF4iee7du3w8jICLt378bo0aNRt25d+Pv78+3Md+3aBUNDQ1hbW8PDw0PQ4RB/xsWTtBOfL2NYtWoVevXqhcePHwMAPn78CHd3d3h4eODIkSMS6+fl5cnEPtSxY0dwHAdXV1cEBgZi1KhRyMjIKHM2zqSkJERERKBSpUp48OCBANH+TbzMRo4cCWtrayxbtgyfPn36ZoImPqSgtPeXDx8+fPP1lJQULF26FPr6+oiMjOSXy0KlgPjvc9WqVTAxMcHMmTMxZMgQqKmpoW/fvhLrp6WlYc6cOWjVqpXEvrRnzx7BmmWJJ/Rubm4/nNADwt+B+q9iyTzDyADxA+LevXthYGCAw4cPY/v27Rg9ejQUFBT4NtuZmZno0aMHLCws+IlehLZy5Upoa2vj5s2beP36NV69egUHBwc4OTl9NcmUFefOncPgwYOxbt06ftnevXvh6emJ9u3b48aNGwBKagTv3bvHfxehawLl7eJJ3KRJk1CrVi0MHz6cn81VVBPo4eEhsc+ICJ0kHDt2DGFhYThz5gwOHDgAMzMztGrVCn369MHLly/5GtR9+/ahW7duMDMzk6nOrlOmTIGenh4uXLjw3SZaP7L8VxkxYgS6d++OhISEb66XkpKCxYsXo1KlSggPD5dOcP/AyZMnMX/+fP7OQU5ODnbt2oUKFSqgX79+EuuKDwBQ1sWhNHzt9/X+/Xs+of9akxtGeCyZZxgZcujQIfTt2xfTp0+XWL5ixQpwHId9+/YBKEnop0yZIhM1UUBJYunl5QXg75NCSkoKqlevDnt7exw+fFjwZKws169fh4WFBbS0tLB48WKJ1/bt2wdPT0/4+/sjJiZG4jWhv4s8XTx9raxmz54NR0dHDBkyRCKh9/DwgI2NDT+cpqx48eIFrKysJIZ9PXjwIFRUVGBubo5BgwYhJiYGCQkJ2Lhxo8x0di0uLsaHDx9Qv359bNq0CUDJMJmnTp1Cr169MH78eIl1hTZhwgTUqVMHw4YN++7suKmpqVi6dCk/A7asePnyJTiOA8dxmD9/Pr+8oKAAu3fvhrq6OgYMGFDqfUKVv/hv9Pbt24iJicH79++RlZUFoOROk6ura6mEnpEdomT++ZtkfMwsEOzxnCXzzH+R+EHxzp07cHFxgZaWFqKiovjXi4qKUFBQgMDAQHTp0oXv/CoiZEIv2vbAgQPh5ubGLxc1/zl48CAUFRXRrFkzfpg+WbN27VpUq1YNLVu2LNUkYv/+/ahRowZGjRolUHRlk5eLJ/EYoqOjcf78edy5c4dfNmPGjFIJ/bt379C3b1+ZuVAF/v6drlmzBg4ODkhMTAQA/PHHH7C2tsbkyZPRuXNncByHvn37lmr+JrS8vDw0btwYPXv2xOHDh9G+fXu4u7vD29sbampqEjMbC0X8WDh//ny4ublhyJAh370oSk5Oxp49e2RqfwGA8+fPw8jICL6+vkhNTeWXFxQUYM+ePeA4jp83QUji5T5q1ChYWFjAyMgIVlZWmDJlCn+HJCkpCe7u7vD09OQrlRjZwZJ5hpEBolv0mzdvhoODAywtLfnRU0QH2z///BPe3t6CxQh8vZb16tWrUFRULHVH4cCBA+jSpQvs7OzQokULaYT4Vd9KbleuXAkHBwf079+fH7df5Ny5czKTKMjrxVNYWBj09PSgo6MDDw8PzJs3j39txowZfE3sw4cPJd4nK+Uucu/ePTRt2hTXr19Hjx49YGhoiNu3bwMoaUZx/vz5UvuPtInv5+JNN6ZPnw4PDw+UL18e4eHhOHv2LABg6NCh6NmzpyCxihOP+969ewgICEDVqlUxZMgQ/uLpe4Ro+iYe95fHGNFoO926deNHsQFK4oyJiRG8qZ64yZMnw8jICKdOnQIAdOrUCYaGhhJ3SJKSklCtWjX0799fyFCZMrBknmEENn36dH74OqBkJAMPDw/4+PjwYyd//vwZDRo0QPfu3YUKU6IGZ8uWLYiKisKuXbv4E+2cOXNQvnx5jBs3Di9fvsSLFy/g4+ODOXPmIC4uDhzHCZZgip9kd+7ciaioKCxYsABXr17lly9ZsgSOjo5lJvSA8MPbiZP1iyfxfeXhw4eoW7cubt++jXPnzmH48OGwtbXFlClT+HVmzZoFExMTvkmCLN/G79evHziOg4mJicQsv7IQs3gMGzZswNixY7Fx40YUFRWhqKgIHz9+RHx8vMR7PD09ERoaKu1Qv2rw4MFwdHREx44d4e7uDnV19R+qoReC+O9zwYIF6NmzJ5o1a4ZVq1bx5RwdHQ11dXV0796db7YiTqiEXjz2Z8+eoUmTJtizZw+Akv4hmpqaaNOmDUxMTCQS+pSUFJm7yGb+TuYT3ibjU1aBYI+EtyyZZ/6jxo0bh4CAAIllmzdvhrOzM7S0tNCkSRMEBQXB3t6er8EXchz5kSNHQldXF7Vr14aVlRXatWvHn7hWrFgBLS0tmJiYwNjYGLVr10Zubi7u378PCwuLUjWvQsRuYGAAPz8/1K5dG02aNJFoA7106VI4OzujY8eOePnypdRjFSevF0/iSUJeXh5u3bqFTp068UnLy5cvMWrUKNjY2Egk9Js3b5bpJEH0vRISEuDm5oY5c+YAkI0k/ksTJkxAhQoV0KxZM3Ach+DgYH6oVaBkmNurV6+iRYsWsLe3l5ka4uPHj0NXVxc3btzg94VJkybB1tYWQ4YMKTUkqKwYOXIkdHR0EBoailatWsHR0RHNmzfn79qcOXMGFStWhK+vr0w0wRLfZ+/du4dPnz7h4MGDyMjIQGxsLIyMjLB06VIAQFBQEIyMjNCzZ0+J8pfl3+p/EUvmGUaKyjoArlu3DqampsjIyJA4qe7atQtOTk5wdnbGmjVr+OXSHu1APOa4uDgEBQXxk5ls376dH3dd1N48MTERR48exenTp/n3RkREwN7eHu/fv5da3F8mWYsXL0bVqlVx5coVACUXHkpKSnBycsKyZcv49WbOnIkePXoI2uZcni+eRCZOnAg3Nzd+/xAnSuhr1KiBiIgIiddkPUnIzc2Fn58f2rZtK3QoPPEOz7m5uQgICODHkr9y5QosLCwQGBjI34nau3cv/P394e3tLTMTQgElzcRMTU1L1cKPHj0a5cuXx7Bhw/i+FbLi+vXrsLS0lJj99MCBA/D19YWvry/evn0LoGR0m+bNmwvel0V8+4MGDYKDgwOSkpKQkZEBAAgJCUGPHj34c9HQoUNRu3Zt9O/fX/DYma/7O5lPQXJWoWCPhLcpLJln/ju2b9+OvXv3IjExEatXr4aHhwd/MBW3efNmtGjRAu3bt+dPYtKqCTxy5IjE823btqFBgwbw9vZGdnY2v3zv3r1o3rw5mjdvzrfzF3nw4AF69eoFbW1tvpZKWkTJSX5+PnJycjBixAjMnj0bQMlINRUrVsS4cePQqlUrWFlZSVwwlTWLpLTjBuTr4kk87oULF0JXVxejR49Gu3btwHEcxowZI7F+YmIiQkJCEBwcLBO126IY7t69i8uXL39znTt37oDjOGzZskVq8X3Nl23N7969iwEDBiApKYlfHhsbCwsLCwQFBeH+/fsoKirC9evXBR1mtayxyg8fPgwjIyO+k7ToTmRKSgqMjIxgbGyMBQsWSD1WceLzHgDAhQsXoK2tXWoY0m3btsHCwqLM454sJMUpKSno0KFDqZG6OnfujICAAD4ZCwgIwKFDhwQ9JjLfx5J5hpGC7du38zXCz549Q+XKlWFrawsjIyNYW1uD4zj4+/tj3rx5OH36NG7fvs3PkLl582Y0a9YMzZo1k1rnutmzZ8PX15cfTQco6ahoZ2cHExMTiUQBKEnovb294ejoyLetLCgowJkzZzBo0CDcvXtXKnGLrFixAjVr1pS4QHrx4gVev36N+Ph4WFpaYu7cuQCAo0ePQkNDo9S4/dJOMOX94knk3LlzWLlyJQ4cOACgZEKo2bNn8xdP4t6/fy8T41aLtr1nzx5YWFhg0qRJX23SIRrqsUePHnj69Kk0wywzFpHhw4ejcuXKKF++PNTV1UvNQXHx4kVYWVmhSZMmEnELPfHZlxcSrq6ucHR05I9/APDkyRN07twZixYtEvQOwvHjxzFixAgMHTqUPxbfunULlpaWOHjwIADJv4mhoaHE0JSyYsGCBTAzM4Onpydev34t8drkyZNhY2MDLy8vODk5oXr16nyZs0RedrFknmF+MdEY8aJRAgAgOzsbxcXFuH79Os6ePQsVFRWYmprCy8sLlSpVQoUKFdCtWzd+/dWrV6NNmzZSazP66NEj/gAuXuO0evVq2NnZISgoqFSb8i1btmDYsGGlRncQn75cGlJTU2FqagqO42BnZ4e0tDQAf9fybdy4EU5OTnyycPDgQbRp0wZz5swR7GQlrxdPAwYMkLhoELXVV1RUxPbt2/nlnz59wpw5c6CtrY0JEyaU+hxZqJk/evQo1NTUsGTJkjI7Kn4Zo5Btn4uKiiTi+euvv2Bra4sjR45g69atcHR0hLe3N44fPy7xvpiYGAQEBMhMUiaa+bRPnz785EqJiYmoWbMmbGxssG7dOuzZswctWrSAn58f/52FSOjXrl0LY2NjjB07VqKfDQB4e3vDyspK4nf34cMH1K5dG7t27ZJ2qN8VExMDOzs7aGtr88dx8Yuq6dOnY9CgQQgJCeGXy0IzLObrRMn8i3cpSMkuFOzx4h1L5pnf0IoVK6CoqPjVcXlFJ6egoCB+uL7Xr1/j2bNnpQ6e0vhxfJloHTt2DHp6eli5ciW/bPHixWjQoAE6d+781SHjhB77PjQ0FL6+vmjYsCEqV64sMc7z5s2bYW1tjQMHDiArKwtt2rTB6NGjBU0U5PHiKTs7G9WrV4eVlRU/6lJeXh42bdqESpUqlZrlMjk5GfPmzQPHcVi9erVUYvwRxcXFyM7Ohp+fH98UKCMjAw8ePMD06dMlalZl4aLjy/1z9+7d6NKli8TkTxcvXkTDhg3RunVrnDhxoszPEbpGfurUqdDR0UFISAiaNGkCa2trvhlceno6/Pz8UKNGDVSrVg2NGzfm2/YL8TfYs2cP1NXVsXPnTonlokS3oKAAbm5uMDMzw7hx47Bs2TK+c7HQSfDXZvuNjY1F5cqV0aRJE365qMLjS7LSQZr5OpbMM8wvsmLFCpQvX54f7ktk0aJFpZLg7t27o2XLlgAkT9aFhYVSO3ldu3YNWlpa/GREAHDz5k3069cPNWvWlEjARAl9165dvzvtujR8WUaHDh2CpqYmtm3bBi8vL5iZmfE19LdvCbNNRgAAPZFJREFU34aXlxdMTU1RpUoV2NvbC5YoyPvFU3p6Oho2bAgLCwuJhH79+vVQUlIq1bn1w4cP2L59u0wmB/7+/ggMDMSzZ8/Qv39/NG7cGNWrV4empiZ69eoldHgAgB49eiA8PBxASZL2+vVreHt7o2LFiujRo4fEuqKE3s/Pj2/yJCuuXbuGiRMn4syZMwBKOkSPGzcOxsbGmDFjBr/eq1ev8ObNG8Ha9hcXFyM9PR3t27fHqFGjykyMxZf1798fDRo0gJOTE4KCggTvXCwe28mTJ7Fq1Srs27ePbyIUGxsLY2NjiWO+LP42me9jyTzD/ALnz58vc4Y/X19fuLm54dOnTwD+PtjOnz8frq6uUo9T3OfPn3H48GHY2tpKjD5y9+5dhISEwMbGBqtWreKXL126FNWrV8fEiROFCFdCWSP8/PnnnxgxYgSuXbsGJycnmJub8zX0d+7cwZEjR7Bhwwb+RCvtk5g8XzyJJycvX76Era0t3Nzc+IS+oKAA69atKzOhFxEyafjyoq2wsBBz5syBm5sbFBQU0KFDB2zbtg05OTmYPn06mjZt+tVaS2nJy8vD7t27+X1ddOy4evUqAgICULlyZb6pisilS5dga2uLkSNHSj3erzl+/DgMDQ1RtWpVfn8BSu5Ijh8/HqampqXmTwCEa6/96dMn6OvrS1xgixPFJdo/cnNzkZ6ezu9jspAcjxw5ElWqVEHDhg1Rr1492NnZ4fDhwwBKOvCampqiVatWAkfJ/BssmWeYX+D48eNo2rQpPDw8+GEE27dvj1q1avHJmHhCsWPHDjRo0ECQW8gBAQH83YOcnBwcOnQINjY2aNq0Kb/OnTt3ykzoZWEa9bVr18La2hpbt27lOxkDJbO6NmjQAIWFhYiPj4ezs7NEQi9OiO8gzxdPIuHh4fD19YWTkxMUFBRQvXp1iYR+/fr1UFVVlakZI0W/scuXL2PlypV8x8WCggI8ffoU0dHREuv37t0bgYGBUh8S9ltWr14tMazktWvXEBAQgIYNG5bq+Hrv3j3Bf6Pibt26hT///BOqqqpYsWKFxGuvX7/GxIkTUa5cOZkYKQgomfSsYsWKfAf1svaDT58+ITQ0tFTfFllolrVhwwYYGRkhNjYWQEn/HGVlZezevZtfJzY2FgoKChg+fLhQYTL/EkvmGeYXOXXqFHx8fODm5oZGjRqhTp06ePbsGQDJg7yo05SohkeaNVDZ2dkIDg6GsrIyf7L6VkI/cOBA1KhRo9QIDUIlC+/fv+dHA2rfvj1cXFwwePBgfhjPBg0a8COo3LlzB+7u7lBTUyuzg6O0yPvFk8jSpUuhqamJS5cu4dmzZ7hy5QpcXV1RrVo1fmbUwsJCLF26FJ6enjKR2IgcOnQISkpKcHZ2Bsdx6NKlS6nRf549e4YRI0agYsWKUh+N6VsKCwuxYMEC1K5dG506deKTy0uXLiEwMBANGzYss9OlLM1gfP/+ffTu3RvVqlXDxo0bJV57+fIl1qxZIzP7eV5eHlxcXODp6ckfN778XidPnkSrVq1KJfOyYMSIEfzF9N69e6GhoYHly5cDALKysvi+OHfu3JGZMmf+OVEy/zIpBamfCwV7vExiyTzzmxBPWk6ePInWrVtDRUUFR48eBSB529XT0xM1a9Ys872/mmi4w9TUVISEhEBJSem7Cf3du3fxxx9/8GODC52gFRQU4OTJk6hRowbc3d1x+fJlNG7cGE2aNIGvry+GDBkCX19f/iR8/fp19O7dW7CTlrxfPIkLDQ0tNXPxu3fv4OjoCHt7ez6hFx95Rej9pbi4GIWFhejSpQuf0Jw/fx5mZmYICgrCtWvXAJSM9tGtWzfY2dkJNsSnSFlllp2djZUrV5Zqm3358mV07NgRtra2pe4wSJt4wnvx4kWcPHkSFy5c4Jfdvn0b/fv3h42NTamEXkQW9nOgZBZaXV1djBgxotR8IDk5OejQoQN69Ogh+P4tThRLaGgo5s6di5MnT0JdXZ3f74uKirBx40YsXrxYogmZrJQ588+wZJ5hfgHxg/qpU6fQunVruLq68iOVFBYWwtvbGzVq1BDk9r2XlxdGjBjBP09NTUX//v2/mtCLNwN59uyZxIyTQissLMTp06eho6ODfv36IScnB3FxcejRowcqVqwIAwODMidPkvZJS14vnr62zT59+sDOzo5/LrpIXb58OTiOg76+Pj9s5rc+RxpE205KSkJaWhoiIyMlxui/cOECP0vqvXv3UFRUhDNnzpQag1vaxBPi169fIzk5GcnJyQBKalVXrFjBJ/SihOzcuXMYO3asoEmZ+N86MjISNjY2MDIygru7O7p06cK/dvv2bQwYMAA1atTgk0xZIvoe+fn56NChA3R1dREQEID4+HgkJCQgOjoajRs3Ru3atfn9X6j9/Gt3QebMmQNFRUWoqKhg3bp1/PK0tDQ0a9as1GRujHxiyTzD/CJf1tD7+PjA1dUVcXFx8Pf3h7W1NZ/IS7uT1J07d/ghDEUxfCuhr1GjBmrXri3xGbIyVjVQUtanT5+GtrY2goKC+OXXrl3jR4ARMl55vnh69+6dxHPRvnr58mVYWFggKipK4vUDBw6gX79+GDRokEzV8u3atQs2NjYwMDCAurp6qdrg2NhY2NjYoEWLFhIdM4Uivr9OnjwZ7u7usLKygp+fH86fPw/g74Te2dkZwcHBpYYlFbr8p02bBgMDA1y4cAG5ubmIiIgAx3Fo3bo1v05cXBw6deqE4OBgASP9+vFBVIZ5eXkYOHAgzM3NoaKiAnV1dTg5OcHHx0emRq05fPgw9u/fj7Nnz/LLevbsCTU1NVy8eBEJCQl4+vQpvLy84OzsLBMddJl/T5TMJyalIu1zkWCPxKRUlswz8qes5gNf+/fJkyfh6+sLjuNgZWUlWCIvbtasWWjevDl/6/hrSeauXbsQHBwsUwn8l0QJva6uLvz8/Eq9JiR5vXjatm0bOI7DpEmTsGjRIonXPn78iIiICLi6uiI8PBxZWVlISEiAj48PQkND+fWESHC+/Hs/efIE5ubmmDp1KpYsWYKaNWuiadOmpSZV+uuvv+Do6Ch4jbx4/KNHj4aenh527dqFAwcOoFmzZjAwMOCb0WRlZWHlypWoUqUKxo4dW+r9Qnn8+DGaN2/ONy88duwY1NXV0b9/f5iamqJt27b8uk+ePJGZu31xcXHIz8+XiEN8BtQnT55g586d2L59O27evCnYsJkiX84CrK+vD0NDQ9jZ2WHIkCEASo41fn5+0NTUhKGhIZydnVG/fn3BL0KYn4cl8wzzPxJPrnJyciQOquIHdvHlhw4dQlhYmMRkI0I6f/48NDQ0EBQUVCqhL1++PH8iloU2lT+SzIoSen19ffj7+0shqn9G3i6eJkyYAEVFRcybNw9169ZFo0aNsGrVKv5uR1JSEqZMmYIqVapAXV0dZmZmqF27tqAjv3xZZrdu3UJYWBiGDh3KL7t8+TIaNmyINm3alEroc3JypBJnWb6c4fn06dNwdHTkRyI5evQoNDQ04OzsDG1tbcTExAAAMjMzsX//fplLytatW4ekpCTExsbCxMSEH73mzz//BMdxcHd3l1hf6P197969MDExKbPJzLdiEzpuoOTiqX79+oiLi8ODBw8wb948WFpaSkzedvLkSRw5cgQXLlwQ/CKE+blEyfyr96lIzykS7PHqPUvmGTkifvCeP38+2rdvDy8vL/Tr16/MGTjLqm2S9kH09OnTmDt3LsLCwiQ6cV25cgU6Ojrw9/eXSDJDQkLAcRwuXrwo1TjLcvPmTf7fM2fOLDWetrji4mJER0eD4ziMGjVKGuH9MHm6eAJKmtgEBATgyJEjyM/Px8CBA9GjRw/o6upiyZIluHPnDoCSZPLQoUM4fvy4YOP2AyXD7okmTyosLERqaioCAgKgo6ODNm3aSKx78eJFNGjQAO3ateOHpwSEqxnu3bs3bG1tJZr43Llzh58kSjSh2LJly3D//n1Uq1YNenp6/D4jIgsJ/ZfJ7ahRo9C9e3f+QmnmzJlo27YtevbsKRPxinz+/BmmpqaYPHmy0KH8I2vWrIG3tze6d+/Ol2daWhqWLVuGatWqoXfv3mW+TxYuQpifgyXzDPMvhIeHQ19fHwsWLMDKlSuhq6srcftSVqxatQr6+vpo2rQpjIyMYGNjIxHj5cuXoa2tLZHQp6SkYNasWYLX3CQkJIDjOISFhWHEiBHQ1NTkZzD8muLiYly/fl3QREGeL55EsrOz0alTJ/Tp04dflpKSAgUFBdSsWROWlpb4888/cfr06VIzF0ubaKKqL/cN0ZCN+vr6pS4CL1++jFq1aiE4OFjQ4UoB4O3btzA1NYWnpyc/EhBQUt7FxcXw9fWVuDj18fFB1apV+ZmjhW6e8i2BgYH8pHj5+flo3749FixYwL8uRFL55Tbz8vJQWFiIiIgItG3blu+wLusyMzMRFhaGypUrw8PDQ+K1tLQ0LF++HDY2NjJ5p5L5eVgyzzD/o7t378LOzg7nzp0DUNLxT1NTE0uWLJFYT+iT7PLly1GuXDns3bsXmZmZePLkCUxMTHDlyhWJ2C5dugQdHR0EBgaW+iEKmdAXFRXh8OHDUFJSgqamJp4+fQrgxxNGIWKX54unL8XFxaFSpUq4evUqAKBWrVpo1qwZbty4gQMHDsDQ0BCdO3cWfD8Xd+HCBQQEBPBlfv369a9OqnT16lW8ePFCiDB5on357du3MDY2RoMGDSQS+qSkJFSpUoUf8UV0x+Ho0aOClvuPJuH79++HpaUl6tSpAxcXF9SoUUPw0V9EHj58KPH84sWLKF++vMSkSrKkrDJPTEzExIkToampWWp0mvT0dMyZMweBgYGsJv43JkrmX79PRUZOkWCP1yyZZ+TNmTNnULVqVQAlibz4GL6ZmZnYtGmT4Ceqffv2geM4iWYEnz9/hrW1Nfr37w9PT08sWrSIn5X28uXL4DgOo0ePFijish07dgwcx0FJSYlvdgCUTgSELm9A/i+exBUVFSE/Px99+/ZFZGQkbG1tUb9+fXz8+JFfJzMzU2Y6L4piENVGdu7cudSkSg0aNChzUiWh3L59G/v378eZM2cAlCTuJiYmaNCggUSTm06dOsHW1hYLFixAo0aNUK9ePYmOmdImvs3bt29/s69BWloa9u/fjwEDBiA8PJzfv4XuHL1z505UqVIFQUFBuH79On9hPXToULRq1QofPnyQenzfIl7mcXFxOH/+PH/szszMxPjx41G9enWMHz9e4n1ZWVn892YJ/e+JJfMM8wPKSlKePn2KVq1aYdasWVBXV5eYmvzy5csIDAyUGMta2nJzc9GvXz9Uq1ZNYtKhdu3awcjICOHh4fDx8YGSkhIiIyP5tv73798XvB3r12qf9u3bB2VlZYnOjLLkd7l4+tLatWvBcRwaNWok0SdEfD+RpSQhOzsbq1atKnNSpeDgYNSqVQv79u0TNkgAmzdvhoODA3x9fREZGcmXZ1kJ/cWLFxEcHAx7e3v4+fnx30noRH7s2LGoWbMmTpw48Y+aFwpxwSoed2ZmJt69e4eDBw+ibt26/Agvf/31FxYuXAhnZ2fEx8eXep9QxM9Bo0aNgqWlJaytrWFqaoqQkBC8fPkSHz58wPjx42Fra4uJEyd+8zOY3wtL5hnmO8QPgPPnz+ebG7x//x7u7u7gOE7iwPn582d4e3ujffv2gp8E3r59iyFDhsDNzQ3z58+Hv78/HBwcJCbz6dKlCwwMDCRqWwHhaofFy+zy5cs4deqURJvzzZs3Q1lZWWL4w6FDhwqenMnrxdO39lHxfb9Tp07o2bOnzNw1EBHFmJ6ejoKCAmRmZgL4+qRKFy5cQI8ePQRvWrNhwwaoqqpi27ZtSE1N5ZeLyleU0Ht4eODx48f868nJyfx3FvpvMWrUKBgaGuLo0aNlTswmvm8JnUiKxzJ9+nT4+/tLNGU6ceIE+vTpAwsLC3Ts2BEcx+GPP/4QItRvmjt3LgwMDPhx5Pv27YuKFSvys+u+ffsWEydOhLa2NtasWSNkqIwU8cn8h1Rk5BYJ9nj9gSXzjAwSPwE8ePAArq6uMDQ05EfxePToEfT19dGsWTNERUVh9erVaNy4MWrVqsWfaIVO6N+9e8dPdqKjo8OPoS3q4LVixQq4uLggKSlJyDBLCQsLg46ODvT09GBoaIg9e/bwt/K3bNmC8uXLo1mzZqhfvz6srKwET2wA+bx4EilrfG2R4uJizJo1C46OjqUmkRKSKNajR4+iTZs2cHFxQdeuXfnERjyh79SpE5/QCzn8JADcu3cPNWvWxKpVqySWf5mkJyUlwdTUFA0bNsTt27cl1hX6uPLo0SNUr14dx44dA1CSTDx9+hSrVq2SqU7cXxINWrB161a+/424M2fOYOnSpbC1tYWlpSWf8MvCxUhRURE6dOiA2bNnAyjpi6ClpYVly5YB+Hu/fvPmDdasWSP4HVZGelgyzzA/YOzYsWjRogU8PDygpKQEIyMjvob+7t27CA4O5iei6dmzp0xMCCUuKSkJgwcPhpOTE2bNmsUvLygoQPPmzREUFCT4yUp8+6dPn4a9vT2io6Px8uVLPgFev349Pn/+DKCkhrVjx44YOnSoTE1+Io8XT98aX1skPz8fCgoKmDJlirTDK0U8vv3790NNTQ0TJ07E4sWLERAQAGNjY34M9qysLKxatQrVqlVDz549S71fCCdOnIC5uTni4+O/evEk8vbtWygoKGDAgAHSDPG7rl+/DgMDA9y+fRvnz59HSEgI7OzsoKOjAxcXl1Lj9wtF/KLnwoULsLCw4PsniBQXF5e6OPr06RPMzMz4ibiE8OW+kZeXBw8PD1y9ehUXLlyQ6KeVl5eHBQsW8AMyiMjCMZH59UTJ/JsPacjMLRbs8eZDGkvmGdm0bNkyVKhQAefOnfu/9u47Lopz6wP4b6migAjq0hGxoSiIlIARuyJeRCVqxKBREgXUgIoFu7EnYFCjYrm0gL2g1xIg0Whi1Gs3sSUhKoQSFZBeZPe8f/DuXFYwIcawu3K+fvgoz87unB1nd8488zxnKCcnh06cOEHDhg0jsVhMly9fJqKaoTUlJSVy44mVJZGXkSWZLi4uQkLv7e2tVJUliGqS3Y8//piWLl0q1x4QEEBisZji4+OFYTe1D1TKtL1V4eSptj+rry3bzkePHlXodn7xasa9e/fI0dFR6JmUDU1p3749tWrVSkjaiouLKS4uTu4KiSKtWbOGWrduLfxe375w584dIf68vDylHIrl5OREZmZmpKOjQzNmzKBjx45RQUEBWVtb09atWxs5SnkzZ86sM/Rn79691L59e3r69KnQJtv2tbev7ArOunXraPDgwQq5knP27FmKiIigyMhIufcxadIksrCwoObNm1NCQoLQ/uTJE+rXrx99/vnnjR4rU7ymnMyrgbE/IZVKcfPmTYwePRp9+vSBsbExvLy8sHLlSnTs2BEjR47Ejz/+CB0dHTRv3hza2toAACKChoaGgqOXZ2xsjEWLFsHV1RVHjhyBWCzG/fv3cePGDWhoaKC6uhoikajR4yIiub9jY2OxbNky3LlzB9XV1cJyu3btgre3NxYuXIikpCSUlpZCXV1deK4ybW+xWIzw8HC4ubnhwIEDiIiIAACMHj0aWVlZSExMhEgkEt5zY5JKpXK/V1VVQUtLC++99x6uXLmCsrKyOs+RbecRI0YI+0pj27x5MwYMGIDbt28LbUQEFxcXvPfee8jMzESfPn3g5eWFw4cPo127dhg/fjzS0tKgq6uLiRMnwtrautHjrk+HDh1QWlqK1NRUAKj3c5eQkIA9e/bg+fPnMDQ0hLq6OiQSSWOHCqlUCjW1msPlqVOnsH//fuzcuRMA8P333yMqKgopKSmIioqCt7c3DAwMYG5urtDP4+nTp1FWVgZDQ0O5dg0NDYhEIuTl5Qltss/gvn37cPnyZQCAlpYWAODq1at4/vx5o38vJiQk4MMPP8Rvv/0GXV1dtG3bVnhs7ty5sLCwgLW1Nd577z0QEfLz8+Hv74+qqioEBgY2aqyMKVyjnTYwlTZnzhzq3r17nd6Zzz77jEQiEVlaWgpVa5Spt/VlcnJyaOLEiTRs2DClGg6UnZ0t/HvMmDGkr69PJ06cqBObr68veXt7q8y2njlzJrm7u1Pbtm2pU6dOSrPNVa2+dnZ2NrVt25b69+8vV7IxKyuLiIgCAwNpzJgxwjAsPz8/0tPTI2tra7nSfMogPT2dWrZsSb6+vvTo0SOhvfZkXl9fX9q0aZOiQqxj3rx5ZGFhQf379yczMzNycnISJmES1Qwjy8jIIC8vL3JwcFD4/i1b/xdffEEZGRlEVLPP6+npUUhIiDBRmqhm8rqXl5dwZUoqlVJBQQG5urrSpUuXGjXuhIQE0tHRoYMHD8pd6d2wYYNQJWvfvn1kZ2dHYrGY3N3dydnZmRwdHZVquCFrXLKe+ewnz6ikUqqwn+wnPMyGKdjLLiUfOnSI7O3taevWrXI76IkTJ8jf35/8/Pxo8ODBlJeX11ih/m35+fnC+1X0QZeoZmjNO++8QxcvXhTahgwZQiYmJpSSklInRmWqa/5nlOXkSRXra784BCInJ4dMTEyoT58+9MMPPwjLlZWVkZubm1x97cDAQIqLi6szNEdZ7Nmzh7S1tcnPz4+uXbsmtGdlZdGwYcOod+/eSvHZJCLatWsXGRsbC5Nw9+3bRyKRiFJTU4mo5vMYHx9Pzs7O5OHhobCk0s/PT5gcSlQz0dje3p48PDyEhH7Pnj2kpqZG77//PiUlJdGpU6do0KBB1KNHjzrbWzbcprHcuXOHunfvLoyDlxkzZgyJRCIaMmSIsM1zcnJo3bp1tH79eoqPjxe2tbLsM6xxcTLPGMkn8tevX6cffvhBLlmYNGkSOTo60rp16+jXX3+lnJwc8vb2prlz51JCQgIZGxvLLa8qFF0RQ2bPnj3UsWNH+uCDD4SJxUQ1Cb2pqSmlpaW9NKFXBYo+eVLF+tqydT9+/JguX75MFy5cIKKX31QpICCAbG1tad++fRQaGkoWFhYKLz/5R6qrq2nnzp2kqalJ5ubm5OnpSUOGDCFXV1dydnZWaC/riyfJ8+fPp9mzZxMR0e7du6lly5bCmPiysjIqLS2l3NxcSkxMVFhSmZ+fTzNnzqSWLVvSjh07hPZ9+/bRwIEDqX///kJCn5KSQk5OTmRhYUEODg40fPhwpejVTklJoXbt2tHdu3eF/T84OJg6dOhAJ06coEGDBtGwYcPo6NGj9T6fe+SbLk7mWZNX+8C1ZMkSsrW1JSsrK+rQoQNt2LBBeCwoKIicnZ1JU1OTOnfuTF26dCEiovv375ONjY1QrpL9sZcliEeOHCFbW1uaPHmyXELv6elJIpFIrk1VKfoGP6pSX1sW8+3bt6l3797k6elJo0ePFoa61U7oZe/lwoULNGrUKDI3N6cePXrI9XYrs+vXr9PMmTNpyJAhFBAQQJ9//rnS9LLKKjB5e3vT0qVL6cqVK6SrqytMOJZIJLRmzZo6JTYVlVRmZ2fT4sWLSU9Pj7Zs2SK079+/n/r160f9+/cXTvCePn1KOTk5lJGRoTR1+1etWkVGRkZybdnZ2ZSZmUlENT33vXv3Jnd3d7nhWYzJkvmcJ8+otFKqsJ8cTuaZoq1YsYLatGlDp0+fpoyMDJo6dSqJRCJauXKlsEx6ejodOnSIUlNThQPWRx99RD179pSrkMD+3OnTpyk9PV2u7fDhw2Rra0v+/v5yyVhoaCj3Ov1NqlJfW7a+H3/8kQwMDGjhwoX06NGjOlc2at9USXYloaqqih49eqRSQ95eRhH7+zfffCOUNpw9ezZt3ryZiIgOHDhA5ubmJBKJKD4+Xli+uLiYPD09KTw8vNFjfZns7GxatGgR6enpyVXUkSX0AwYMEHroa1OGK3179+6l5s2bC0NpapPFt379evLy8qKSkpLGDo8pMU7mWZNVO0m5desW9e/fn9LS0oiI6Pjx42RgYEBjx44lNTU1WrNmTZ3nnzlzhgIDA6lVq1Z0/fr1xgr7jXDt2jXhLq4vDoU4ePAgaWpqUkBAAH377bdyj3FC33CqXF87Ly+P3n77bfroo4/k2uu7qZKZmRn17dtXpa+MKcPcj6ysLBo4cCANHjyYxo8fT5qamsLE/vT0dPL396cuXbrQkSNHSCqV0v3792nYsGHUq1cvhfZoy7Zd7W2YkZFBCxcuJF1dXbmE/sCBAzRw4EDq0aOH0swLqS09PZ309fXJ19e33iFiRUVF9K9//YtmzZqlgOiYMhOS+afPqLRKqrCfnKeczLNGVPuL/4cffqDq6mqKjIyksrIyOnPmDJmamtK2bduosrKSRo4cSSKRiBYuXCj3Gl9//TWNGjVKJcfKN7b6DribNm0iS0tLmjdvHj148EBu+a5du5Kenh6tW7euMcN8I6h6fW2imuE1NjY2dPbs2Xp7TKVSqRB/Tk4OaWtrk5eXV6NPWHzTnD17lqysrEhDQ4NiY2OJ6H/7yfnz58nf35/09PTIzMyMunfvTm+//bZCx5rX3jdyc3PlEuD8/HwKDw+vk9DHx8fTjBkzlKInvj67d+8WJkbX7iR6+PAhDR48mOzt7ZXqviBMOTTlZF55ilKzRkVEQt3ghQsX4sSJE/j2228RHByMZs2aYd++fRg+fDgmT54MLS0tWFtbo0+fPjh//rzccwcMGAA3Nzfo6Ogo8u0ovdp1qmU1zUUiEWbOnAmRSIS1a9cCAIKCgtCuXTs8ffoUAwcOxNtvvw1fX19Fhq5yGlJf28jICMD/Pgf79u1Dx44d4ezsrPD62jI3btzAo0eP0KdPH4hEIrl9CKipy15WVoabN2/Czc0NGRkZKCwsFOJnf41s+7Zs2RLm5uYwMzPDwYMHYW1tjb59+wIA3N3d0aVLF8yZMwf37t2DmZkZ3NzcoK6ujurq6kavK09Ewj6xbNkyJCcn4/HjxxCLxQgLC8PIkSMRHh4OAFiwYAFEIhECAwMxceJETJw4EQAgkUiEeygoi7Fjx6K0tBTBwcE4d+4c7OzsUF1djeLiYgDA5cuXoaGhoZSxM6YInMw3UbIE5b///S+uX7+O6Oho6OvrAwAqKytx/fp12NvbQ1tbG+Xl5Xj48CFCQkIwevRoAPInA5zI/7HaSVhUVBTOnDkDIoKFhQU2b96MGTNmQF1dHZ9++ikePHgABwcHnDt3DhUVFdi4cSNEIhEftP6CAQMGwMPDAxoaGkhMTETfvn1hYWGBbt264fHjx9i6dStWrVoFXV1dqKmpobKyEklJSXB3d4ezszOICIWFhcjIyMCmTZuEm6A1tnbt2kFDQwOHDx+Gr6+vXCIvExMTg2PHjiE5ORlt27aVu7EOaxjZ51O2fe3s7PDdd98hLS0NkZGRWLNmDUQiETw8PAAArVq1gqGhIezt7YXXkEgkCrlBlOw7eM2aNdiyZQs2btwIsViMmJgYrF+/HllZWQgJCcGsWbOgoaGB4OBgiMVijBo1SngNZfxeUVdXxwcffAAnJyfs2rULP/30E6ysrODo6Ihp06Yp7OSJqQbR//9R5PobXaNdA2BKJyEhgXx8fGjYsGFUUVEhd9l+48aNpK6uTuPHjycnJye5G6DwZc1Xs2DBAjIyMqLFixfTtGnTqH379tS1a1fhhj9JSUk0atQocnR0JB8fH+HSPW/vhlH1+tov+u2336ht27Y0YsQIuaETtfeHOXPm0IIFC3gfeUW1h5l8/fXXlJycTEeOHBHaUlJSaOjQoeTl5UVnzpwhIqIRI0YIw2+UwZMnT+itt96Sq1xDRDR37lxq3769MOfm4cOHtGPHDoVXq3kdeN4Qq49smE3u00IqqyKF/eQ+LfzLw2w+//xzsrKyIm1tbXJxcfnLN2rjZL4JW7VqFZmampKxsTH99NNPRPS/ROHJkye0ZcsW8vHxoeDgYKWoP6zK7t69SzY2NnTy5Emh7dGjR+Ti4kL29vZCW3FxsdydOt+EA29jeBPqa9fn0KFDpK2tTf7+/nL15EtLSyk8PJysrKyEKjbs1c2ZM4fMzc2pXbt2JBaLycHBQZgHdOrUKfL29iYrKytycHAgKysrYX9RhPv379PFixfpypUrQlvnzp2FUpm175j61ltv0dixY+u8hip9r/CJKmsoWTL/e14hlT8nhf38nvfXkvm9e/eSlpYWxcTE0O3bt+nDDz8kAwODOvO+/ggn803EyyY6bd++ndq3b08BAQH1luqr/aWvSgcAZXPhwgUyMDAQylDKDlC3b98mc3NzodRd7f8nZZ2cpqxUvb52fSQSCUVHR5OGhgZ16dKFJk+eTEFBQTRixAhq27atytSRV2a7du0iIyMjunr1Kj169Ih+/fVXcnV1pQ4dOggngBcvXqSYmBhasWKFsJ8oYn+Ji4sjW1tb0tfXJzMzM5o2bRoR1Vwt8PDwEJaTXVUKCgqiCRMmNHqcjCmCqibzLi4uNH36dOF3iURCpqamtHbt2ga/dx5w1gTUHrOdlpaGsrIyFBYWYuLEiZg6dSqeP3+OXbt2YdOmTQgNDYW1tTWICACEMYlExOMTG6j29i4uLoaenh7s7OzQsmVLHDhwAPPnzxfGupqYmKB58+YoLCwEALlx0fWNkWYvZ2JiguDgYBCRMNkvKCgIY8aMAQBs3boVU6ZMQVxcHCwsLOSeK5VKlXL/VlNTw7Rp09CzZ098+umnuH79OvT09ODu7o6IiAh07NhR0SGqvJ9//hmDBg2Co6OjMBfo+++/h729PaZNm4aTJ0/C1dUVrq6uwnMUMUZ++/btCAkJwcaNG2FjY4Pk5GQcPHgQXbp0wfLlyzF06FD4+flh9+7dwjj4mzdvwsnJqVHjZEzRioqKlGL9L8ahra1dZw5WVVUVrl69KkxUB2q+9wcNGoQLFy40eJ3Kd/Rir50sKZw/fz4OHDgAsViM3NxcbNq0CfHx8Zg+fTqqq6uRkJAANTU1BAcH10kSFFXRQ9XUTuQ3bdqE/Px8jBkzBp06dYK3tzdSUlJgbm6OCRMmAKiZPKyvr6+wSZaqTpZ8yf42MTHBtGnTQESYN28eAAgJvUgkQnR0NP71r3/hq6++Qps2bYTXUfYTJxcXF+zdu1cpJyuqkhcrAgFAVlYWfv31VwA133MVFRVo1qwZlixZgsWLFyMzM7POyV9j/z8kJycjKCgIR48ehbe3N4CafeL8+fP47rvvEBoaih07diAoKAjdunWDlZUVCgoKUFhYiMjIyEaNlTFF0dLSgrGxMTpaW/z5wv8wXV3dOt8by5Ytw/Lly+Xanj59ColEArFYLNcuFotx7969Bq+Pk/kmIjo6GrGxsUhJSUHPnj2xZ88eTJgwAdnZ2ejWrRtCQkJARIiIiICVlRVCQ0MVHbJKkiUK8+bNQ2xsLKKioqCnpwdNTU2EhIQgPDwcn332GVJTU+Hs7IxDhw6hoqICU6ZMUXDkqqd2Yvb48WNUVFTAysoKFhYWCAsLq5PQv/POOygrK8Ply5eF0pSqpHYSSrWqSbGGk23DixcvwtraGmKxGAEBAfD398dnn32GWbNmoVmzZgBqEgNNTU2Fl/qsrKxESkoK2rdvj0ePHgnt+vr6sLOzQ3FxMYgII0aMgLOzM6KioiCVSqGrq4slS5ZAQ0ODK7+wJqFZs2Z48OABqqqqFB1Kvd/R/2inXYMH5DCVNnv2bFqxYgUR1Uy2aNmypTBhqva4rj179ijdJEBV85///IcsLS3p4sWLQptsXPaDBw8oKiqKnJycaODAgeTn56e0ky+VWe1JcUuXLqUePXqQsbEx2dvb0xdffEHFxcVUVFRE4eHhpK+vL+zrtfH2bnqkUimdP3+eRCIRrV27lvLz8+nZs2c0a9YscnV1pVWrVlF5eTk9ePCAhg8fTl5eXkoxATM7O5tCQkLIxcVFuBP3yZMnSSQS0VdffUVEL58oyvs5Y8qrsrKS1NXV5apoERFNnDiRRowY0eDX4WT+DfTil7pEIqF+/frR8uXL6fz586SrqyskNxKJhBYuXCh3d0AiPgD8HZs2bSIXFxcqLi4W2uqbzFr7zqLKOPlSFaxevZqMjIwoMTGR0tLSaPz48WRnZ0fr1q2j8vJyevz4MS1ZsoREIhEdPnxY0eEyJfHxxx+ToaEhrVu3jiorKykrK4sWLVpEYrGYDAwMqHPnzuTk5CScaCvDZPScnByaMWMG9e7dm/z8/EhPT4/i4uKI6H/xKcOJB2Psr3FxcaEZM2YIv0skEjIzM/tLE2A5mX+DbdiwgY4fP05ENTXlHRwcSFNTk3bt2iUsU1hYSF5eXrR06VJFhanS6jvIL1q0iHr27Cn8LjsxkkgkdPz4caHknQwfgF9NU6yvzf6a2p+tFzsoVq1aRfr6+kJCX11dTU+ePKH9+/fTmTNnhOWVab/Jzs6mmTNnklgsJh8fH6GdO18YU1179+4lbW1tiouLozt37tDUqVPJwMCAcnNzG/wayj3ri72yZ8+e4fTp0zh+/DgAoEePHjAxMRH+BoD09HSMHz8eT548wZIlSxQZrkqqPWb7yJEjwiQ6Hx8f3LhxA1FRUQD+N1muqKgI//73v3Hz5k251+Gxzw3z008/4dKlS7h69SoAoHXr1igoKBD+DyorKwEAn3zyCdq2bYvNmzcDAKysrPDhhx8KY4dZ0yH7bH3yySeIjY1FRUWF8NiiRYswd+5cLF68GFFRUXjy5Alat26NMWPGoF+/flBXV1fYnV1fxsTEBIsWLcLYsWPx+++/Y/369QBqvmPo/yuQMcZUy7hx4xAREYGlS5fCwcEBN27cwJdffllnUuwf+ufONZiibdq0iUxMTCgzM5OIiE6fPk1eXl5kampKZmZm5ODgQO7u7jxm+xXU7vGbP38+WVpa0pIlS6i0tJQkEgl9/PHHpKmpScuWLaObN2/SpUuXaNiwYWRvb69UPX2qgutrs4aq/dmU/dvPz480NDQoKSlJbngbEdG4cePI2NiYli9fTgUFBY0Z6ivLycmhmTNnkru7Oy1atEjR4TDGFExExKfzqq6+cmsyffv2haWlJRISEiASiZCZmYnc3Fz8+OOPsLGxQe/evaGurs7VDl5RZGQk1q5di5SUFHTs2BH6+voAgPz8fBw+fBgLFiyAlpYW9PX1YWZmhi+//BKampqQSCRcZrCBXlZfe8GCBejbty+GDh2KQYMGYffu3cJ27d27N5ycnLBx40ZFh88a2e+//46qqioUFBSgTZs2wpXI4OBgxMbGYufOnfD19YWOjg4AYM6cOUhJSYGFhQVOnjypMlfKcnNzMW/ePDRr1gzbt29XmbgZY68fJ/NvkG3btsHFxQWWlpZo06YNpFIpdu7cidjYWCQlJcHGxqbexJ8Ty1dTWVmJCRMm4K233kJYWJiwbWtv4+zsbOTk5EBTUxN2dnZQU1PjE6e/IDk5GaNHj5arr11UVIS+ffvCxsYGBw8eFGpwGxoaytXXvnXrFm/nJmb37t2Ijo7GL7/8gtzcXFhbW2Po0KHYunUrACAwMBDx8fHYsWMHBg4cCFNTU7z77rsICwtDr1695O5ZoAry8/NhYGAANTU1lYqbMfZ68Zj5N0RJSQliYmIwfvx4TJgwAceOHYOamhr8/f2Rl5eHLVu2AKj/5jicyL+aqqoqXL58WbjLm+yAqqamhvLycuTk5MDU1BS9evVCjx49hESfE8yG+bP62tXV1UJ97StXrsDLywu2trYYMmSIkMjzGPmmIzY2FgEBAXj33XeRmJiIs2fPwsPDA7GxsfD09ARQc7+NKVOmYO7cuRg+fDh69OiBW7duwcHBASKRCFKpVKUSYkNDQ+F7RZXiZoy9Xtwzr6JeNrTm6NGj+PrrrxEdHY2RI0dixIgRaNasGVauXIn4+Hg4ODg0frBvgBd73aVSKaqrq+Hv7w8NDQ1EREQIl/OBmpvSbNiwAZs3b/5rk1iYnJycHKxfvx4XLlzAyJEjER4ejlOnTmH48OFIS0vDwIEDX9ojyVecmo7r169jzJgxWLNmDcaOHSu05+XlYf/+/ZgzZw5Gjx6NxMREAEBSUhIyMzNRUVGBxYsXQ0NDg/cXxpjK4mReBdVO5NPS0lBaWoqKigq8++67wjJnz57FwYMHcfz4cRQUFKCoqAiJiYnw8/NTVNgqa+/evUhNTcWCBQtgZmaGFi1aCI8lJSUhICAA4eHhmDRpEtq1a4f8/HxMmTIF5eXlOHXq1EvnM7CGyc3NxerVq3H9+nVYWVnhP//5DzZv3oxJkyYJnwUeYtC0HTt2DEuXLsWXX36JNm3aCNVdRCIRCgsLERERgR07diA5ORlubm51ns+JPGNMlXEyr8LCwsKwe/du6OvrIzs7G3Z2dli9ejXefvttaGpqory8HCUlJVi0aBGePHmCAwcO8BCPv6ioqAiOjo4oKiqCsbExXFxc0KdPH0yaNElY5vPPP8fq1athaWkpTCaurKzElStXoKmp+YcTlFnD5OTkYO3atdi/fz/eeustJCcnA+AkjNVYsWIFtm3bhtzcXAB1b6V+//59dO/eHXv27IGvr6+iwmSMsX8EZ3YqKjY2FgkJCUhJSYGpqSmICD4+Ppg3bx6io6PRq1cvaGpqok2bNtixY4dwcOPJl39NixYtMHbsWFhZWcHZ2RmnT59GaGgoUlNTYWtri/nz52PGjBlwc3PDf//7X9y7dw+dOnXCtGnThDHbvL3/Pll9bQC4fPky1q9fj/nz58v1wLKmy9bWFsXFxUhNTcWQIUPq7A82NjYwNjbmORSMsTcSdxeqGNmFlJ9//hlubm7o2bMnjIyMYGxsjLNnz6KsrAwrV64EAGhoaAjLy6o0cGL516irq6NPnz6YO3cuNDQ0EBYWhpycHNjY2GDp0qVwdnbGJ598Ah0dHQQFBWHjxo2YPn26MAaXt/frIxaLsXDhQjg7O+PYsWNYvHgxAL7pFgOcnJygqamJHTt2ICMjQ2iXSCQAgIyMDIjFYty6dQuXL19GVlaWokJljLHXjpN5FXDz5k0cPXoU58+fFxKX3Nxc5OXlAahJ2svLy9GsWTNERETg4sWLePDgQZ0eS056Xs2wYcPg7++P7du3AwCaNWuGQ4cOwcfHB4MHD8ZXX30FOzs7xMTEyD2Ph3+8fsbGxli4cCFsbGzw+PFjvuslAwC0b98e27Ztw/HjxxEeHo5r164BqPkMlpeXIzg4GD/++CMSEhKwefNm3LhxQ7EBM8bYa8TdhkouKSkJERERsLS0RLdu3dC7d28AwOTJk+Hl5YWoqCiEhoYKN0B5/vw5WrdujRYtWnDy/ho5OjoiNjYWBQUFGDhwIFq1aoX4+Hjo6+sjKysL3333HY/FbSTGxsaIioqCgYGBytUFZ/+cMWPGoLS0FNOnT8fZs2dhb28PAwMDZGZmorS0FNnZ2cIcFtnN3Rhj7E3AE2CVWEJCAgIDAxETEwNPT08YGBgIjxUWFmLDhg344osvMHXqVAQFBeHZs2eYMWMGnj9/jlOnTnGC85q5uLjgypUr8PDwwOHDh2FoaFhnGR4j37h4cjF70Y0bN7Bz507cvXsXFhYWsLW1xezZs6GlpSW3HJ8EMsbeFJzMK6nbt29j3LhxCA0NxQcffCC01z4AZWRkYO/evVi1ahWaN28OPT09tGrVCufPn+cqKq+RbJsnJiZi/fr1iIuLQ69evTgZYEyFcOUjxtibijM9JZWVlYWysjJ4eHjIjQuWJY9EBEtLS8ybNw93797F9u3bsXPnTly4cAGampqorq7mRP41kW3z/v37Iy8vD2lpaXLtjDHlUl8fFSfyjLE3FY8HUFJXr15FcXExOnXqBKDuJWGRSIS7d+/i999/R79+/WBmZiY8xlVU/hlmZmYIDw/HihUrMGLECHTt2lXRITHG6sEn2oyxpoS7bpVUhw4dUFpaitTUVAD1H5wSEhKwe/fuOr1Q3AP1z/Hy8sLw4cPRpUsXRYfCGGOMMcbJvLLq1asXtLS06tRNliXuRUVF+Pnnn9G9e3fuhWpENjY2iIuLg5qamlDDmjHGGGNMUTiZV1Lt27dHdHS0UDf5+vXrAGp66LOzs/Huu+8iNzcXQUFBCo606ZGdPPEVEMYYY4wpGlezUWISiQSxsbEIDg6GWCyGnZ0dpFIpCgsLIZVKhao1XKWBMcYYY6xp4mReBdy4cQMxMTG4f/8+LCws0LNnTwQGBkJdXZ3rmjPGGGOMNWGczKsw7pFnjDHGGGvaOJlXEXyDIsYYY4wx9iKeAKsiOJFnjDHGGGMv4mSeMcYYY4wxFcXJPGOMMcYYYyqKk3nGGGOMMcZUFCfzjDHGGGOMqShO5hljjDHGGFNRnMwzxhhjjDGmojiZZ4wx9re9//77GDlypPB7v379EBoa2uhxfPPNNxCJRHj27Nk/to4X3+uraIw4GWNNAyfzjDH2hnr//fchEokgEomgpaWFDh064OOPP0Z1dfU/vu7Dhw9j5cqVDVq2sRPbdu3aISoqqlHWxRhj/zQNRQfAGGPsn+Pp6YnY2FhUVlbi5MmTmD59OjQ1NREeHl5n2aqqKmhpab2W9RoaGr6W12GMMfbHuGeeMcbeYNra2jA2NoaVlRWCgoIwaNAgHDt2DMD/housXr0apqam6Ny5MwAgMzMTY8eOhYGBAQwNDeHj44OHDx8KrymRSDB79mwYGBjAyMgI8+bNAxHJrffFYTaVlZWYP38+LCwsoK2tjQ4dOuDf//43Hj58iP79+wMAWrVqBZFIhPfffx8AIJVKsXbtWlhbW0NHRwf29vY4ePCg3HpOnjyJTp06QUdHB/3795eL81VIJBIEBAQI6+zcuTM2btxY77IrVqxAmzZtoK+vj8DAQFRVVQmPNST22h49egRvb2+0atUKLVq0QLdu3XDy5Mm/9V4YY00D98wzxlgToqOjg7y8POH3r7/+Gvr6+khLSwMAPH/+HEOHDoWbmxu+/fZbaGhoYNWqVfD09MStW7egpaWFyMhIxMXFISYmBra2toiMjMSRI0cwYMCAl6534sSJuHDhAjZt2gR7e3s8ePAAT58+hYWFBQ4dOgRfX1/cv38f+vr60NHRAQCsXbsWiYmJiI6ORseOHXHu3Dm89957aNOmDfr27YvMzEyMHj0a06dPx9SpU3HlyhXMmTPnb20fqVQKc3NzHDhwAEZGRvj+++8xdepUmJiYYOzYsXLbrVmzZvjmm2/w8OFDTJ48GUZGRli9enWDYn/R9OnTUVVVhXPnzqFFixa4c+cOdHV1/9Z7YYw1EcQYY+yNNGnSJPLx8SEiIqlUSmlpaaStrU1hYWHC42KxmCorK4XnfPHFF9S5c2eSSqVCW2VlJeno6FBKSgoREZmYmNAnn3wiPP78+XMyNzcX1kVE1LdvXwoJCSEiovv37xMASktLqzfOM2fOEAAqKCgQ2ioqKqh58+b0/fffyy0bEBBA48ePJyKi8PBw6tq1q9zj8+fPr/NaL7KysqLPPvvspY+/aPr06eTr6yv8PmnSJDI0NKTS0lKhbdu2baSrq0sSiaRBsb/4nrt3707Lly9vcEyMMSbDPfOMMfYGO378OHR1dfH8+XNIpVL4+flh+fLlwuPdu3eXGyd/8+ZN/PLLL9DT05N7nYqKCqSnp6OwsBA5OTlwdXUVHtPQ0ICTk1OdoTYyN27cgLq6er090i/zyy+/oKysDIMHD5Zrr6qqQs+ePQEAd+/elYsDANzc3Bq8jpfZsmULYmJikJGRgfLyclRVVcHBwUFuGXt7ezRv3lxuvSUlJcjMzERJScmfxv6ijz76CEFBQUhNTcWgQYPg6+uLHj16/O33whh783Eyzxhjb7D+/ftj27Zt0NLSgqmpKTQ05L/2W7RoIfd7SUkJevXqhaSkpDqv1aZNm1eKQTZs5q8oKSkBAJw4cQJmZmZyj2lra79SHA2xd+9ehIWFITIyEm5ubtDT08Onn36KS5cuNfg1XiX2Dz74AEOHDsWJEyeQmpqKtWvXIjIyEjNnznz1N8MYaxI4mWeMsTdYixYt0KFDhwYv7+joiH379qFt27bQ19evdxkTExNcunQJHh4eAIDq6mpcvXoVjo6O9S7fvXt3SKVSnD17FoMGDarzuOzKgEQiEdq6du0KbW1tZGRkvLRH39bWVpjMK3Px4sU/f5N/4Pz583B3d0dwcLDQlp6eXme5mzdvory8XDhRuXjxInR1dWFhYQFDQ8M/jb0+FhYWCAwMRGBgIMLDw7Fz505O5hljf4qr2TDGGBNMmDABrVu3ho+PD7799ls8ePAA33zzDT766CP89ttvAICQkBCsW7cOycnJuHfvHoKDg/+wRny7du0wadIkTJkyBcnJycJr7t+/HwBgZWUFkUiE48eP48mTJygpKYGenh7CwsIwa9YsxMfHIz09HdeuXcPmzZsRHx8PAAgMDMTPP/+MuXPn4v79+9i9ezfi4uIa9D6zsrJw48YNuZ+CggJ07NgRV65cQUpKCn766ScsWbIEly9frvP8qqoqBAQE4M6dOzh58iSWLVuGGTNmQE1NrUGxvyg0NBQpKSl48OABrl27hjNnzsDW1rZB74Ux1rRxMs8YY0zQvHlznDt3DpaWlhg9ejRsbW0REBCAiooKoad+zpw58Pf3x6RJk4ShKKNGjfrD1922bRveeecdBAcHo0uXLvjwww9RWloKADAzM8OKFSuwYMECiMVizJgxAwCwcuVKLFmyBGvXroWtrS08PT1x4sQJWFtbAwAsLS1x6NAhJCcnw97eHtHR0VizZk2D3mdERAR69uwp93PixAlMmzYNo0ePxrhx4+Dq6oq8vDy5XnqZgQMHomPHjvDw8MC4ceMwYsQIubkIfxb7iyQSCaZPny4s26lTJ2zdurVB74Ux1rSJ6GUzlhhjjDHGGGNKjXvmGWOMMcYYU1GczDPGGGOMMaaiOJlnjDHGGGNMRXEyzxhjjDHGmIriZJ4xxhhjjDEVxck8Y4wxxhhjKoqTecYYY4wxxlQUJ/OMMcYYY4ypKE7mGWOMMcYYU1GczDPGGGOMMaaiOJlnjDHGGGNMRXEyzxhjjDHGmIr6Pw6gy5zJBSoKAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 800x800 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(\"Evaluating the RAG method with Chain of Thought on the test set...\")\n",
"evaluate(X_test, y_test, rag_chain_of_thought_classify)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Evaluation\n",
"\n",
"This guide has illustrated the importance of measuring prompt performance empirically when prompt engineering. You can read more about our empirical methodology to prompt engineering [here](https://docs.claude.com/en/docs/prompt-engineering). Using a Jupyter Notebook is a great way to start prompt engineering but as your datasets grow larger and your prompts more numerous it is important to leverage tooling that will scale with you. \n",
"\n",
"In this section of the guide we will explore using [Promptfoo](https://www.promptfoo.dev/) an open source LLM evaluation toolkit. To get started head over to the `./evaluation` directory and checkout the `./evaluation/README.md`.\n",
"\n",
"When you have successfully run an evaluation come back here to view the results."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Haiku: T-0.0 Prompt: RAG w/ CoT 95.588235\n",
"Haiku: T-0.2 Prompt: RAG w/ CoT 95.588235\n",
"Haiku: T-0.8 Prompt: RAG w/ CoT 95.588235\n",
"Haiku: T-0.0 Prompt: RAG 94.117647\n",
"Haiku: T-0.4 Prompt: RAG 94.117647\n",
"Haiku: T-0.6 Prompt: RAG 94.117647\n",
"Haiku: T-0.4 Prompt: RAG w/ CoT 94.117647\n",
"Haiku: T-0.6 Prompt: RAG w/ CoT 94.117647\n",
"Haiku: T-0.2 Prompt: RAG 92.647059\n",
"Haiku: T-0.8 Prompt: RAG 89.705882\n",
"Haiku: T-0.6 Prompt: Simple 72.058824\n",
"Haiku: T-0.0 Prompt: Simple 70.588235\n",
"Haiku: T-0.2 Prompt: Simple 70.588235\n",
"Haiku: T-0.8 Prompt: Simple 70.588235\n",
"Haiku: T-0.4 Prompt: Simple 69.117647\n",
"dtype: float64\n"
]
}
],
"source": [
"import json\n",
"import pandas as pd\n",
"\n",
"promptfoo_results = pd.read_csv(\"./data/results.csv\")\n",
"examples_columns = promptfoo_results.columns[2:]\n",
"\n",
"number_of_providers = 5\n",
"number_of_prompts = 3\n",
"\n",
"prompts = [\"Simple\", \"RAG\", \"RAG w/ CoT\"]\n",
"\n",
"columns = [\"label\", \"text\"] + [\n",
" json.loads(examples_columns[prompt * number_of_providers + provider])[\"provider\"]\n",
" + \" Prompt: \"\n",
" + str(prompts[prompt])\n",
" for prompt in range(number_of_prompts)\n",
" for provider in range(number_of_providers)\n",
"]\n",
"\n",
"promptfoo_results.columns = columns\n",
"\n",
"result = (\n",
" promptfoo_results.iloc[:, 2:]\n",
" .astype(str)\n",
" .apply(lambda x: x.str.count(\"PASS\"))\n",
" .sum()\n",
" / len(promptfoo_results)\n",
" * 100\n",
").sort_values(ascending=False)\n",
"\n",
"print(result)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "py311",
"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": "3.11.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}