From ad2a7a8f5ccb5ee21052e7757c0a624847fdcd96 Mon Sep 17 00:00:00 2001
From: Simonas <20096648+simjak@users.noreply.github.com>
Date: Mon, 26 Feb 2024 17:10:42 +0200
Subject: [PATCH] fix: Split index error

---
 docs/examples/rolling-window-splitter.ipynb   | 180 +++------
 .../unstructured-element-splitter.ipynb       | 372 +++++-------------
 semantic_router/splitters/rolling_window.py   |  69 +++-
 .../splitters/unstructured_splitter.py        |   5 +-
 4 files changed, 214 insertions(+), 412 deletions(-)

diff --git a/docs/examples/rolling-window-splitter.ipynb b/docs/examples/rolling-window-splitter.ipynb
index 095558eb..6cba2cd3 100644
--- a/docs/examples/rolling-window-splitter.ipynb
+++ b/docs/examples/rolling-window-splitter.ipynb
@@ -32,14 +32,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/jakit/customers/aurelio/semantic-router/.venv/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "  from .autonotebook import tqdm as notebook_tqdm\n"
+     ]
+    }
+   ],
    "source": [
     "import os\n",
     "from getpass import getpass\n",
     "from semantic_router.splitters import RollingWindowSplitter\n",
     "from semantic_router.encoders import OpenAIEncoder\n",
+    "from semantic_router.utils.logger import logger\n",
+    "\n",
+    "logger.setLevel(\"INFO\")\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = os.getenv(\"OPENAI_API_KEY\") or getpass(\n",
     "    \"Enter your OpenAI API key: \"\n",
@@ -47,7 +59,7 @@
     "\n",
     "splitter = RollingWindowSplitter(\n",
     "    encoder=OpenAIEncoder(),\n",
-    "    min_split_tokens=1,\n",
+    "    min_split_tokens=30,\n",
     "    max_split_tokens=200,\n",
     "    window_size=1,  # sentences\n",
     "    plot_splits=True,\n",
@@ -56,34 +68,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[33m2024-02-26 13:12:35 WARNING semantic_router.utils.logger Single document exceeds the maximum token limit of 500. Splitting to sentences before semantically splitting.\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:12:36 INFO semantic_router.utils.logger Optimal threshold 0.8721362714023696 found with median tokens (30.0) in target range (30-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:12:36 INFO semantic_router.utils.logger Splitting Statistics:\n",
-      "  - Total Splits: 12\n",
-      "  - Splits by Threshold: 11\n",
-      "  - Splits by Max Chunk Size: 0\n",
-      "  - Last Split: 1\n",
-      "  - Minimum Token Size of Split: 23\n",
-      "  - Maximum Token Size of Split: 262\n",
-      "  - Similarity Split Ratio: 0.92\u001b[0m\n"
+      "\u001b[33m2024-02-26 17:01:00 WARNING semantic_router.utils.logger Single document exceeds the maximum token limit of 200. Splitting to sentences before semantically splitting.\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:01:01 INFO semantic_router.utils.logger Optimal threshold 0.8294063747414075 found with median tokens (49.5) in target range (30-200).\u001b[0m\n"
      ]
     },
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1200x1200 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[32m2024-02-26 17:01:02 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 40\n",
+      "  - Total Splits: 13\n",
+      "  - Splits by Threshold: 12\n",
+      "  - Splits by Max Chunk Size: 0\n",
+      "  - Last Split: 1\n",
+      "  - Minimum Token Size of Split: 23\n",
+      "  - Maximum Token Size of Split: 223\n",
+      "  - Similarity Split Ratio: 0.92\u001b[0m\n"
+     ]
     }
    ],
    "source": [
@@ -92,70 +111,75 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Split 1, tokens 218, triggered by: 0.85\n",
-      "\u001b[31mIn a recent surge of social media discussions on Weibo, Chinese netizens have been engaging in conversations about the struggles and challenges of earning money. The online debate sparked a wave of opinions and perspectives on the relationship between hard work, high pay, and finding contentment. Among the tweets, several users pontificated that one should avoid earning \"too much hard-earned money.\" The tweets and discussions revolve around the idea that working too hard for one's income can have a detrimental effect on one's life, both physically and mentally. Some users advocate for finding opportunities that align with one's strengths and passions, rather than simply focusing on high-paying jobs that may require excessive hours and intense labor. One Weibo user pontificates, \"Don't earn that much hard-earned money,\" a sentiment echoed by others with tweets such as, \"Why is it that when earning money, that process always has to be so tough?\" This question is followed by a comparison between two types of people - those who are used to earning money the hard way and those who seem to effortlessly obtain wealth.\u001b[0m\n",
+      "Split 1, tokens 140, triggered by: 0.83\n",
+      "\u001b[31mIn a recent surge of social media discussions on Weibo, Chinese netizens have been engaging in conversations about the struggles and challenges of earning money. The online debate sparked a wave of opinions and perspectives on the relationship between hard work, high pay, and finding contentment. Among the tweets, several users pontificated that one should avoid earning \"too much hard-earned money.\" The tweets and discussions revolve around the idea that working too hard for one's income can have a detrimental effect on one's life, both physically and mentally. Some users advocate for finding opportunities that align with one's strengths and passions, rather than simply focusing on high-paying jobs that may require excessive hours and intense labor.\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 2, tokens 62, triggered by: 0.87\n",
-      "\u001b[32mWhile the former group is depicted as having been taught to suffer from a young age, the latter is shown as being able to focus solely on their natural talents and thriving in their niche advantageously. Discussions on the platform draw attention to a variety of issues that those who earn money the hard way might face.\u001b[0m\n",
+      "Split 2, tokens 78, triggered by: 0.81\n",
+      "\u001b[32mOne Weibo user pontificates, \"Don't earn that much hard-earned money,\" a sentiment echoed by others with tweets such as, \"Why is it that when earning money, that process always has to be so tough?\" This question is followed by a comparison between two types of people - those who are used to earning money the hard way and those who seem to effortlessly obtain wealth.\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 3, tokens 51, triggered by: 0.87\n",
-      "\u001b[34mFor example, they are described as likely having to work overtime, forgo time off for illness or rest, and maintain an unyielding dedication to their occupation, which often results in a never-ending cycle of work without any perceived progression in their lives.\u001b[0m\n",
+      "Split 3, tokens 39, triggered by: 0.79\n",
+      "\u001b[34mWhile the former group is depicted as having been taught to suffer from a young age, the latter is shown as being able to focus solely on their natural talents and thriving in their niche advantageously.\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 4, tokens 262, triggered by: 0.87\n",
-      "\u001b[35mAnother tweet that captures this sentiment reads, \"Drowning in more work and poverty despite trying harder and harder,\" pointing to a sense of despair and dissatisfaction that comes with work that is both disproportionately demanding and inadequately rewarding. Critics also note how the pursuit of hard-earned money could potentially create physical and mental health risks due to the unrelenting pressure and stress that these jobs might impose. Conversely, those in favor of earning money with less difficulty contend that it's crucial to harness one's strengths and passions to create opportunities that yield financial success without the need for excessive labor. The debate revolves around the concept that people should seek out ways to work smarter, not harder, especially if it means a healthier and more fulfilling lifestyle. In fact, the notion of a \"vicious cycle,\" often attributed to those chasing hard-earned money, is juxtaposed with an idealized image of someone operating in their zone of excellence. Confidently focused on their strengths, such individuals are depicted as enjoying a more relaxed and less stressful work environment, one in which they can thrive without the need for never-ending overtime or self-sacrifice. Some tweets even extend this sentiment to the broader socio-economic context, observing how wealth is not merely derived from manual labor or high-paying positions requiring extraordinary work hours.\u001b[0m\n",
+      "Split 4, tokens 223, triggered by: 0.83\n",
+      "\u001b[35mDiscussions on the platform draw attention to a variety of issues that those who earn money the hard way might face. For example, they are described as likely having to work overtime, forgo time off for illness or rest, and maintain an unyielding dedication to their occupation, which often results in a never-ending cycle of work without any perceived progression in their lives. Another tweet that captures this sentiment reads, \"Drowning in more work and poverty despite trying harder and harder,\" pointing to a sense of despair and dissatisfaction that comes with work that is both disproportionately demanding and inadequately rewarding. Critics also note how the pursuit of hard-earned money could potentially create physical and mental health risks due to the unrelenting pressure and stress that these jobs might impose. Conversely, those in favor of earning money with less difficulty contend that it's crucial to harness one's strengths and passions to create opportunities that yield financial success without the need for excessive labor. The debate revolves around the concept that people should seek out ways to work smarter, not harder, especially if it means a healthier and more fulfilling lifestyle.\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 5, tokens 39, triggered by: 0.86\n",
-      "\u001b[31mThe tweets emphasize the importance of cultivating an entrepreneurial spirit and a penchant for innovative thinking, especially in the modern digital age. One user writes, \"Too hard-earned money isn't worth it.\u001b[0m\n",
+      "Split 5, tokens 81, triggered by: 0.82\n",
+      "\u001b[31mIn fact, the notion of a \"vicious cycle,\" often attributed to those chasing hard-earned money, is juxtaposed with an idealized image of someone operating in their zone of excellence. Confidently focused on their strengths, such individuals are depicted as enjoying a more relaxed and less stressful work environment, one in which they can thrive without the need for never-ending overtime or self-sacrifice.\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 6, tokens 43, triggered by: 0.87\n",
-      "\u001b[32mLearn how to make money using your brain, not your body,\" while another suggests, \"Love will flow towards those who are not lacking in love, and money will flow towards those who are not lacking in money!\"\u001b[0m\n",
+      "Split 6, tokens 56, triggered by: 0.77\n",
+      "\u001b[32mSome tweets even extend this sentiment to the broader socio-economic context, observing how wealth is not merely derived from manual labor or high-paying positions requiring extraordinary work hours. The tweets emphasize the importance of cultivating an entrepreneurial spirit and a penchant for innovative thinking, especially in the modern digital age.\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 7, tokens 191, triggered by: 0.85\n",
-      "\u001b[34mWhile some of the discussions take a somewhat passive-aggressive view, others acknowledge that financial security and comfort might not always be possible for everyone. In a more realistic tone, a user remarks, \"If life were so easy that diligence led to wealth, then the world's richest person would be the best worker bee. But that's not the case.\" This acknowledgment underscores the complexities of the economy and the role that factors like luck, connections, and a rapidly evolving job market can play in financial success. Some users are quick to criticize the notion that earning money the hard way should be avoided, with one tweet expressing, \"The person who advises you to avoid hard-earned money is likely a scammer who profits off providing emotional value in exchange for exploitation.\" Others argue that while it's essential to find enjoyment and fulfillment in one's work, it's crucial not to shun or belittle those who choose to work in physically demanding or high-paying industries.\u001b[0m\n",
+      "Split 7, tokens 58, triggered by: 0.81\n",
+      "\u001b[34mOne user writes, \"Too hard-earned money isn't worth it. Learn how to make money using your brain, not your body,\" while another suggests, \"Love will flow towards those who are not lacking in love, and money will flow towards those who are not lacking in money!\"\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 8, tokens 87, triggered by: 0.83\n",
-      "\u001b[35mOverall, the Weibo discussions offer a fascinating insight into the complexities of the modern Chinese labor market and the work-life balance that people strive to achieve. As in many countries, striking the right balance between work and play is an ongoing challenge for many Chinese citizens. However, the conversations on Weibo signal an increasing awareness of the importance of finding meaningful, fulfilling, and financially rewarding work that doesn't necessitate excessive sacrifice or sufferance.\u001b[0m\n",
+      "Split 8, tokens 100, triggered by: 0.83\n",
+      "\u001b[35mWhile some of the discussions take a somewhat passive-aggressive view, others acknowledge that financial security and comfort might not always be possible for everyone. In a more realistic tone, a user remarks, \"If life were so easy that diligence led to wealth, then the world's richest person would be the best worker bee. But that's not the case.\" This acknowledgment underscores the complexities of the economy and the role that factors like luck, connections, and a rapidly evolving job market can play in financial success.\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 9, tokens 30, triggered by: 0.87\n",
-      "\u001b[31mIn the end, as one user succinctly puts it, \"Make sure you're earning your money in a way that brings you joy and satisfaction.\u001b[0m\n",
+      "Split 9, tokens 91, triggered by: 0.80\n",
+      "\u001b[31mSome users are quick to criticize the notion that earning money the hard way should be avoided, with one tweet expressing, \"The person who advises you to avoid hard-earned money is likely a scammer who profits off providing emotional value in exchange for exploitation.\" Others argue that while it's essential to find enjoyment and fulfillment in one's work, it's crucial not to shun or belittle those who choose to work in physically demanding or high-paying industries.\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 10, tokens 171, triggered by: 0.79\n",
-      "\u001b[32mThat's the only way to ensure that your life doesn't become a never-ending cycle of hard work without any tangible progress.\" In this context, social media discussions focusing on the trials and tribulations of earning money serve not only as an outlet for venting frustrations but also as a means of promoting dialogue and shared understanding about the challenges faced by workers across all industries. These virtual conversations sparked by tweets and in-depth discussions likely resonate with a wide swath of Chinese citizens struggling to navigate the complexities of balancing a career that pays well with one that brings them joy, fulfillment, and a sense of purpose. As the discussions on Weibo continue to evolve and unfold, it is evident that the discourse around work, money, and life satisfaction holds the potential to inspire meaningful change and shift societal attitudes towards a more holistic, balanced, and humane understanding of success and prosperity.\u001b[0m\n",
+      "Split 10, tokens 142, triggered by: 0.78\n",
+      "\u001b[32mOverall, the Weibo discussions offer a fascinating insight into the complexities of the modern Chinese labor market and the work-life balance that people strive to achieve. As in many countries, striking the right balance between work and play is an ongoing challenge for many Chinese citizens. However, the conversations on Weibo signal an increasing awareness of the importance of finding meaningful, fulfilling, and financially rewarding work that doesn't necessitate excessive sacrifice or sufferance. In the end, as one user succinctly puts it, \"Make sure you're earning your money in a way that brings you joy and satisfaction. That's the only way to ensure that your life doesn't become a never-ending cycle of hard work without any tangible progress.\"\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 11, tokens 72, triggered by: 0.75\n",
-      "\u001b[34m--- Note: The translated tweets and user quotes from Chinese to English were used as the foundation for the long-form news article. The author tried to maintain the integrity of the original content in the translation while adapting it to fit a journalistic format. No inaccuracies were introduced during translation, and the opinion-based nature of the original content was preserved while maintaining objectivity.\u001b[0m\n",
+      "Split 11, tokens 146, triggered by: 0.77\n",
+      "\u001b[34mIn this context, social media discussions focusing on the trials and tribulations of earning money serve not only as an outlet for venting frustrations but also as a means of promoting dialogue and shared understanding about the challenges faced by workers across all industries. These virtual conversations sparked by tweets and in-depth discussions likely resonate with a wide swath of Chinese citizens struggling to navigate the complexities of balancing a career that pays well with one that brings them joy, fulfillment, and a sense of purpose. As the discussions on Weibo continue to evolve and unfold, it is evident that the discourse around work, money, and life satisfaction holds the potential to inspire meaningful change and shift societal attitudes towards a more holistic, balanced, and humane understanding of success and prosperity.\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n",
-      "Split 12, tokens 23, triggered by: final split\n",
-      "\u001b[35mHeart count: 0/2 Note: The author did not include any Chinese characters in the final response. Collapse\u001b[0m\n",
+      "Split 12, tokens 72, triggered by: 0.72\n",
+      "\u001b[35m--- Note: The translated tweets and user quotes from Chinese to English were used as the foundation for the long-form news article. The author tried to maintain the integrity of the original content in the translation while adapting it to fit a journalistic format. No inaccuracies were introduced during translation, and the opinion-based nature of the original content was preserved while maintaining objectivity.\u001b[0m\n",
+      "----------------------------------------------------------------------------------------\n",
+      "\n",
+      "\n",
+      "Split 13, tokens 23, triggered by: final split\n",
+      "\u001b[31mHeart count: 0/2 Note: The author did not include any Chinese characters in the final response. Collapse\u001b[0m\n",
       "----------------------------------------------------------------------------------------\n",
       "\n",
       "\n"
@@ -165,82 +189,6 @@
    "source": [
     "splitter.print(splits)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "TypeError",
-     "evalue": "plot_sentence_similarity_scores() missing 2 required positional arguments: 'threshold' and 'window_size'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[25], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m text \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mUnstructured Technologies Sacramento, CA, USA leah@unstructured.io https://unstructured.io\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAbstract. Chunking information is a key step in Retrieval Augmented Generation (RAG). Current research primarily centers on paragraph- level chunking. This approach treats all texts as equal and neglects the information contained in the structure of documents. We propose an expanded approach to chunk documents by moving beyond mere paragraph-level chunking to chunk primary by structural element com- ponents of documents. Dissecting documents into these constituent ele- ments creates a new way to chunk documents that yields the best chunk size without tuning. We introduce a novel framework that evaluates how chunking based on element types annotated by document understanding models contributes to the overall context and accuracy of the informa- tion retrieved. We also demonstrate how this approach impacts RAG assisted Question & Answer task performance. Our research includes a comprehensive analysis of various element types, their role in effective information retrieval, and the impact they have on the quality of RAG outputs. Findings support that element type based chunking largely im- prove RAG results on financial reporting. Through this research, we are also able to answer how to uncover highly accurate RAG.\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mKeywords: Retrieval Augmented Generation · Document Chunking · Document Pre-Processing · Financial Domain · Large Language Models\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m----> 2\u001b[0m \u001b[43msplitter\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot_sentence_similarity_scores\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtext\u001b[49m\u001b[43m)\u001b[49m\n",
-      "\u001b[0;31mTypeError\u001b[0m: plot_sentence_similarity_scores() missing 2 required positional arguments: 'threshold' and 'window_size'"
-     ]
-    }
-   ],
-   "source": [
-    "text = ['Unstructured Technologies Sacramento, CA, USA leah@unstructured.io https://unstructured.io', 'Abstract. Chunking information is a key step in Retrieval Augmented Generation (RAG). Current research primarily centers on paragraph- level chunking. This approach treats all texts as equal and neglects the information contained in the structure of documents. We propose an expanded approach to chunk documents by moving beyond mere paragraph-level chunking to chunk primary by structural element com- ponents of documents. Dissecting documents into these constituent ele- ments creates a new way to chunk documents that yields the best chunk size without tuning. We introduce a novel framework that evaluates how chunking based on element types annotated by document understanding models contributes to the overall context and accuracy of the informa- tion retrieved. We also demonstrate how this approach impacts RAG assisted Question & Answer task performance. Our research includes a comprehensive analysis of various element types, their role in effective information retrieval, and the impact they have on the quality of RAG outputs. Findings support that element type based chunking largely im- prove RAG results on financial reporting. Through this research, we are also able to answer how to uncover highly accurate RAG.', 'Keywords: Retrieval Augmented Generation · Document Chunking · Document Pre-Processing · Financial Domain · Large Language Models']\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\u001b[32m2024-02-26 13:32:42 INFO semantic_router.utils.logger Optimal threshold 0.8416128334834633 found with median tokens (273.0) in target range (1-200).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:32:42 INFO semantic_router.utils.logger Splitting Statistics:\n",
-      "  - Total Splits: 3\n",
-      "  - Splits by Threshold: 0\n",
-      "  - Splits by Max Chunk Size: 2\n",
-      "  - Last Split: 1\n",
-      "  - Minimum Token Size of Split: 19\n",
-      "  - Maximum Token Size of Split: 231\n",
-      "  - Similarity Split Ratio: 0.00\u001b[0m\n"
-     ]
-    },
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "[DocumentSplit(docs=['Unstructured Technologies Sacramento, CA, USA leah@unstructured.io https://unstructured.io'], embeddings=[], is_triggered=False, triggered_score=None, token_count=19, metadata=None),\n",
-       " DocumentSplit(docs=['Abstract. Chunking information is a key step in Retrieval Augmented Generation (RAG). Current research primarily centers on paragraph- level chunking. This approach treats all texts as equal and neglects the information contained in the structure of documents. We propose an expanded approach to chunk documents by moving beyond mere paragraph-level chunking to chunk primary by structural element com- ponents of documents. Dissecting documents into these constituent ele- ments creates a new way to chunk documents that yields the best chunk size without tuning. We introduce a novel framework that evaluates how chunking based on element types annotated by document understanding models contributes to the overall context and accuracy of the informa- tion retrieved. We also demonstrate how this approach impacts RAG assisted Question & Answer task performance. Our research includes a comprehensive analysis of various element types, their role in effective information retrieval, and the impact they have on the quality of RAG outputs. Findings support that element type based chunking largely im- prove RAG results on financial reporting. Through this research, we are also able to answer how to uncover highly accurate RAG.'], embeddings=[], is_triggered=False, triggered_score=None, token_count=231, metadata=None),\n",
-       " DocumentSplit(docs=['Keywords: Retrieval Augmented Generation · Document Chunking · Document Pre-Processing · Financial Domain · Large Language Models'], embeddings=[], is_triggered=False, triggered_score=None, token_count=23, metadata=None)]"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "splits = splitter(text)\n",
-    "splits"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/docs/examples/unstructured-element-splitter.ipynb b/docs/examples/unstructured-element-splitter.ipynb
index c2259d9d..1127afac 100644
--- a/docs/examples/unstructured-element-splitter.ipynb
+++ b/docs/examples/unstructured-element-splitter.ipynb
@@ -136,7 +136,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -176,8 +176,6 @@
     "        # or if no table was encountered\n",
     "\n",
     "        if combined_element_texts:\n",
-    "            print(f\"Combined Element Texts: {combined_element_texts}\")\n",
-    "\n",
     "            splits = splitter(combined_element_texts)\n",
     "            print(\"-\" * 80)\n",
     "            chunks.extend([split.content for split in splits])\n",
@@ -197,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -227,7 +225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -241,13 +239,13 @@
     "    window_size=1,  # Compares each element with the previous one\n",
     "    min_split_tokens=1,\n",
     "    max_split_tokens=500,\n",
-    "    plot_splits=True,\n",
+    "    plot_splits=False,\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -288,16 +286,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Combined Element Texts: ['2 v 1 3 1 5 0 . 2 0 4 2 : v i X r a']\n"
-     ]
-    },
     {
      "name": "stderr",
      "output_type": "stream",
@@ -312,8 +303,9 @@
       "  arrmean = um.true_divide(arrmean, div, out=arrmean,\n",
       "/Users/jakit/customers/aurelio/semantic-router/.venv/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide\n",
       "  ret = ret.dtype.type(ret / rcount)\n",
-      "\u001b[32m2024-02-26 13:24:19 INFO semantic_router.utils.logger Optimal threshold 0.5 found with median tokens (27.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:19 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:32 INFO semantic_router.utils.logger Optimal threshold 0.5 found with median tokens (27.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:32 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 1\n",
       "  - Total Splits: 1\n",
       "  - Splits by Threshold: 0\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -323,129 +315,89 @@
       "  - Similarity Split Ratio: 0.00\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['Unstructured Technologies Sacramento, CA, USA leah@unstructured.io https://unstructured.io', 'Abstract. Chunking information is a key step in Retrieval Augmented Generation (RAG). Current research primarily centers on paragraph- level chunking. This approach treats all texts as equal and neglects the information contained in the structure of documents. We propose an expanded approach to chunk documents by moving beyond mere paragraph-level chunking to chunk primary by structural element com- ponents of documents. Dissecting documents into these constituent ele- ments creates a new way to chunk documents that yields the best chunk size without tuning. We introduce a novel framework that evaluates how chunking based on element types annotated by document understanding models contributes to the overall context and accuracy of the informa- tion retrieved. We also demonstrate how this approach impacts RAG assisted Question & Answer task performance. Our research includes a comprehensive analysis of various element types, their role in effective information retrieval, and the impact they have on the quality of RAG outputs. Findings support that element type based chunking largely im- prove RAG results on financial reporting. Through this research, we are also able to answer how to uncover highly accurate RAG.', 'Keywords: Retrieval Augmented Generation · Document Chunking · Document Pre-Processing · Financial Domain · Large Language Models']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:20 INFO semantic_router.utils.logger Optimal threshold 0.7912938086798802 found with median tokens (273.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:20 INFO semantic_router.utils.logger Splitting Statistics:\n",
-      "  - Total Splits: 1\n",
-      "  - Splits by Threshold: 0\n",
+      "\u001b[32m2024-02-26 17:07:33 INFO semantic_router.utils.logger Optimal threshold 0.7912974224053915 found with median tokens (136.5) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:33 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 3\n",
+      "  - Total Splits: 2\n",
+      "  - Splits by Threshold: 1\n",
       "  - Splits by Max Chunk Size: 0\n",
       "  - Last Split: 1\n",
-      "  - Minimum Token Size of Split: 273\n",
-      "  - Maximum Token Size of Split: 273\n",
-      "  - Similarity Split Ratio: 0.00\u001b[0m\n"
+      "  - Minimum Token Size of Split: 19\n",
+      "  - Maximum Token Size of Split: 254\n",
+      "  - Similarity Split Ratio: 0.50\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['contents of extensive documents [25,22,18]. By dissecting large volumes of text into smaller, more focused segments, LLMs can process each part with greater precision, ensuring a thorough understanding of each section. This segmented approach allows for meticulous analysis of unstructured data, enabling LLMs to construct a more comprehensive and coherent understanding of the entire docu- ment [41]. There remains a challenge in ensuring factual accuracy and relevance in the generated responses, especially when dealing with complex or extensive information.', 'Recently, Retrieval Augmented Generation (RAG) [21,12] has been devel- oped to address the hallucination problem with LLMs [15,43] when recovering factual information directly from an LLM. In RAG, instead of answering a user query directly using an LLM, the user query is used to retrieve documents or segments from a corpus and the top retrieved documents or segments are used to generate the answer in conjunction with an LLM. In this way, RAG con- straints the answer to the set of retrieved documents. RAGs have been used as well to answer questions from single documents [14]. The documents are split into smaller parts or chunks, indexed by a retrieval system and recovered and processed depending on the user information need. In a sense, this process allows answering questions about information in a single document, thus contributing to the set of techniques available for document understanding.', 'Since documents need to be chunked for RAG processing, this raises the question about what is the best practice to chunk documents for effective RAG document understanding. There are several dimensions to consider when decid- ing how to chunk a document, which includes the size of the chunks.', 'The retrieval system in RAG can use traditional retrieval systems using bag- of-words methods or a vector database. If a vector database is used, then an embedding needs to be obtained from each chunk, thus the number of tokens in the chunk is relevant since the neural networks processing the chunks might have constraints on the number of tokens. As well, different chunk sizes might have undesirable retrieval results. Since the most relevant retrieved chunks need to be processed by an LLM, the number of tokens in retrieved chunks might have an effect in the generation of the answer [25]. As we see, chunking is re- quired for RAG systems and there are several advantages and disadvantages when considering how to chunk a document.', 'In this work, we study specifically the chunking of U.S. Securities and Ex- change Commission (SEC)1 Financial Reports2, including 10-Ks, 10-Qs, and 8-Ks. This study plays a critical role in offering insights into the financial health and operational dynamics of public companies. These documents present unique challenges in terms of document processing and information extraction as they consist of varying sizes and layouts, and contain a variety of tabular informa- tion. Previous work has evaluated the processing of these reports with simple chunking strategies (e.g., tokens), but we believe that a more effective use of these reports might be achieved by a better pre-processing of the documents', 'Financial Report Chunking for Effective Retrieval Augmented Generation', 'and chunking configuration3 [14]. To the best of our knowledge, this is the first systematic study on chunking for document understanding and more specifically for processing financial reports.']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:21 INFO semantic_router.utils.logger Optimal threshold 0.8513633459440277 found with median tokens (157.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:21 INFO semantic_router.utils.logger Splitting Statistics:\n",
-      "  - Total Splits: 3\n",
-      "  - Splits by Threshold: 2\n",
+      "\u001b[32m2024-02-26 17:07:33 INFO semantic_router.utils.logger Optimal threshold 0.8514465425347408 found with median tokens (129.5) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:33 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 7\n",
+      "  - Total Splits: 4\n",
+      "  - Splits by Threshold: 3\n",
       "  - Splits by Max Chunk Size: 0\n",
       "  - Last Split: 1\n",
       "  - Minimum Token Size of Split: 64\n",
-      "  - Maximum Token Size of Split: 502\n",
-      "  - Similarity Split Ratio: 0.67\u001b[0m\n"
+      "  - Maximum Token Size of Split: 400\n",
+      "  - Similarity Split Ratio: 0.75\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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nz+Off/6Bh4dHpXNd6ejoIDg4GNeuXcPKlSthZ2eHZcuWoXPnzpqRYpX59ttv8f3332P37t2a31sxMTG4dOkSTExMNL+vWrZsiYKCAs3vJk9PT5w/fx52dnYP3P+jqnjMHRERERERUTN17yVbMpkMwH/FDaDsTeu9cnJy0Lp16wpvX3/3Fu1LlizB+PHjsWfPHvz+++9YvHgxtmzZoikI3X+ZmEwmK1cQkYKNjQ1SU1O11t39urKJjTdv3oyEhARERERoCimbN29GixYt8Msvv2Ds2LEVbufl5YU///yz2hkVCgXatWsHAOjVqxeioqLw6aef4ptvvtEUFTt16qS1jaurK5KSkrTWWVhYwMLCAh06dICrqyscHBxw5MgRrQKEg4ODZn+lpaWYMWMG3njjDVy+fBkJCQkYPny4pu3dnxldXV3ExcVpFR3vatOmDSwsLHDp0iXNZOTjx4/H+PHjkZqaCiMjI8hkMqxevRpt2rQBAPz11184ffo0fvrpJwDQ/JxYWFjg3XffxezZs3Hs2DGcOHECs2bN0mQRQkBXVxd//PEH+vTpAx0dnQq/t/d/X+/cuYNhw4bBxMQEP//8c6WXNK5btw49evTQmqz+XkIIBAUFYdKkSVqXgz6KgQMHYuvWrTh79izy8/Ph5uYGoOxyub///htqtRqGhoblikr3q6j/3dvna8OAAQPw7bff4uDBg+jZs6fmLpBhYWH4559/yl0KWhE7OztMmjQJkyZNwvvvv48OHTpg7dq1WLp0aYXt//77b7zyyiv48ccftQpvOTk56NWrF3744Ydy29xbcK8PHClFRERERET0CNzc3HDjxg3o6uqiXbt2Wsu9o2Y6dOiA2bNn448//sBzzz2H4ODgKu3f1NQUtra2CA8P11ofHh5erthyl6urKyIjI7XWHTlypJpnVjYi5N9//9W6a96ff/4JFxcXtGjRosJt8vLyIJfLNQU9AJqvH/RG/+TJk5oi0qNQq9UoLCwEAKhUKtja2iIuLk6rzYULFx44p9HdnHf3U1mb4uJiqNVqdOzYEadPn8bJkyc1y9NPP42BAwfi5MmTmmLW/a5du4aMjIwKz9va2hrGxsbYunUrlEolhg4dCgDYsWMHYmJiNMdZt24dAODgwYOYOXMmTE1Ny2V58cUXNSPKvLy8oFAo0KtXL4SGhmqdT2hoqFYR7u7dFxUKBXbv3l3pvEw5OTnYtm3bA0dJ/fPPP7h06dID21TXwIEDcfHiRWzevFlTaAOAfv364Z9//kFYWBh8fX0fqQhWlb7k6upaYf/s0KGDJtPdeaW2b9+umTtqwIABOHDgAMLDwyudT6oyLVq0QOvWrZGbm1vh85cuXcLzzz+Pd955B88995zWc25ubrh48SKsrKzK/c4yMzOrVo5HVu0L/oiIiIiIiBqxh80pde/cPCdOnBAANHelquguZmq1WvTp00d0795d7N+/X8THx4vw8HDxzjvviKioKJGXlydmzpwp/v77b5GQkCAOHTok2rZtK956661K89y9O9ddn3zyiTA1NRVbtmwR58+fF2+//bbQ09PTzIt0/5xSiYmJQqFQiLlz54rz58+LH374QdjY2FR7TqnMzExhbW0tJk2aJM6cOSO2bNkiDA0NNXNlCSHEzp07te6CFhsbK/T19cVLL70kzp07J86cOSMmTpwozMzMNHcUDAkJEZs3bxaxsbEiNjZWfPDBB0Iul4ugoCDNfgoLC8WJEyfEiRMnROvWrcXcuXPFiRMntO5CN2/ePPHPP/+I+Ph4cerUKTFv3jwhk8nEH3/8Ue612759u7h48aJYsGCBUCqVmjm8jhw5Ij7//HNx4sQJkZCQIEJDQ4WPj49o27atZp6wTZs2ia1bt4pz586Jy5cvi61btwpbW1sxYcKESl+7++eUunPnjpg7d66IiIgQ8fHx4sCBA8LNzU20b99eaz6yzz//XERHR4u4uDjxxRdfCAMDA/Hpp59WepyKfm7vV9HP7ZYtW4S+vr4ICQkR586dEzNmzBDm5ubixo0bQgghsrKyhJeXl+jatau4dOmSSElJ0Sx358C6a926dUKpVD4ww8SJE4WXl1elz9/vYXNKCSFEfn6+0NfXFyYmJmLFihWa9QUFBUKpVAoTExPNXFz37vf+OaV+/vlnrTZmZmYiODhYCFG1vhQdHS3kcrl47733RFxcnAgJCREGBgaafQhR9nuiZcuWQkdHRzNf1YkTJ4SOjo7Q1dUVOTk5lZ7n2rVrxYsvvij2798vLl26JM6cOSPeeustIZfLRVhYmBBC+/dIXl6e6Nixoxg8eLBITk7W+t4JUTYfV/v27cWAAQPEv//+K65cuSL+/vtv8corr4irV68KIao2p1RV+ujDsChFRERERETNSm0XpYQQIjs7W7zyyivC1tZW6OnpCQcHBzFhwgSRlJQkCgsLxdixY4WDg4NQKBTC1tZWzJo1SzN5elWKUqWlpWLJkiXCzs5O6Onpie7du2ve2ApRviglhBC//vqraNeundDX1xd9+/YVQUFB5c4PgNYb54rExMSIPn36CH19fWFnZ6f15v9u/vvHO/zxxx/C19dXc7v5QYMGiYiICM3zISEhwtXVVRgaGgpTU1Ph6empmQT6/nO6f+nfv7+mzZQpU4STk5NQKBTC0tJSDB48WKsgddfy5cuFvb29MDQ0FN7e3uLgwYOa506dOiUGDhwoWrZsKfT19YVKpRIvvvii1pvxLVu2CDc3N2FsbCyMjIxEp06dxLJlyzTfw4rcX5TKy8sTjz32mLC0tBR6enrCyclJTJ8+XVMEumvSpEmiZcuWQqFQiG7duokNGzZUegwhal6UEqKsAObo6CgUCoXw9PQUR44cKbffipa7/eEub29vMX78+EqPn5mZKQwMDMS33377wHO5V1WKUkII0b9/fwFAK7sQQgwYMEAA0Pq5u7vf6hSlhKhaX/rpp59Ep06dhJ6ennB0dBQfffRRuazPPPOM0NXVFXfu3BFClPXrFi1aiN69ez/wHI8fPy4mTpwonJ2dhb6+vmjVqpXo16+f2L17t6bNvb9HKus79/bTlJQUMXnyZGFhYSH09fVFmzZtxPTp0zWTp9/9/t//vb5XVfrow8iEaAAXKhMRERERERER/Y9KpUJISEi1L2ujxoVzShERERERERERUb1jUYqIiIiIiIiIiOodi1JERERERERE1KC8/vrrUKlUUsegOsY5pYiIiIiIiIiIqN5xpBQREREREREREdU7FqWIiIiIiIiIiKje6UodoCFSq9VITk6GiYkJZDKZ1HGIiIiIiIiIiBoNIQTu3LkDW1tbyOWVj4diUaoCycnJcHBwkDoGEREREREREVGjdfXqVdjb21f6PItSFTAxMQFQ9uKZmppKnIaIiKh27dixAy+++CI++eQTuLu746uvvsKuXbsQHR0NS0vLcu0XLVqEbdu24bPPPkP79u0RGhqKd999F3/88Qe6d+9eo30SNSm5uYCtbdnj5GTAyEjaPEQNEfsJUbOSnZ0NBwcHTX2lMrz7XgWys7NhZmaGrKwsFqWIiKjJ8fLygoeHB7744gsAZZetOzg44JVXXsG8efPKtbe1tcW7776LmTNnataNHDkSBgYG2LRpU432SdSk5OYCxsZlj3Ny+GabqCLsJ0TNSlXrKpzonIiIqBkpKipCdHQ0hgwZolknl8sxZMgQREREVLhNYWEhlEql1joDAwMcOnSoxvskIiIiImJRioiIqBm5efMmSktLYW1trbXe2toaN27cqHAbPz8/rF69GhcvXoRarcaff/6JnTt3IiUlpcb7JCIiIiJiUYqIiIge6NNPP0X79u3RsWNHKBQKzJo1C4GBgQ+8kwoRERER0cNwonMiIqJmxMLCAjo6OkhNTdVan5qaChsbmwq3sbS0xK5du1BQUICMjAzY2tpi3rx5aNOmTY33SdSkGBoCaWn/PSai8mqhn5SWlqK4uLgWQxFRTenp6UFHR+eR98OiFBERUTOiUCjQq1cvhIaGYsSIEQDKJiUPDQ3FrFmzHritUqmEnZ0diouLsWPHDowePfqR90nUJMhkAO8ySfRgj9BPhBC4ceMGMjMzazcTET0Sc3Nz2NjYQCaT1XgfLEoRERE1M3PmzIG/vz/c3d3h6emJNWvWIDc3F4GBgQCAyZMnw87ODsuXLwcAHD16FNevX0ePHj1w/fp1LFmyBGq1Gm+99VaV90lERFRTdwtSVlZWMDQ0fKQ3wET06IQQyMvLQ9r/Rj+2bt26xvtiUYqIiKiZGTNmDNLT07Fo0SLcuHEDPXr0wL59+zQTlSclJWnNF1VQUIAFCxbgypUrMDY2xhNPPIGNGzfC3Ny8yvskatIKC4E5c8oer14N6OtLm4eoIaphPyktLdUUpFq1alWHAYmoOgwMDAAAaWlpsLKyqvGlfDIhhKjNYE1BdnY2zMzMkJWVBVNTU6njEBEREVFDlpsLGBuXPc7JAYyMpM1D1BDVsJ8UFBQgPj4eKpVK8yaYiBqG/Px8JCQkwNnZGUqlUuu5qtZVeNscIiIiIiIiatB4yR5Rw1Mb/ZJFKSIiIiIiIiIiqncsShERERERERFJQCaTYdeuXY+0j4CAAM3dbwFgwIABeP311x9pnwCwZMkS9OjR45H3Q/QgLEoRERERERFRk1eqFoi4nIFfTl5HxOUMlKrrdnrl9PR0vPTSS3B0dIS+vj5sbGzg5+eH8PBwTZuUlBQ8/vjjj3ScTz/9FCEhIY+Ytry5c+ciNDRU8/X9xa+aKi0txYoVK9CxY0cYGBigZcuW8PLywrp16x5539T48O57RERERERE1KTtO5OCpb+eQ0pWgWZdazMlFg/vhGFdan47+wcZOXIkioqKsH79erRp0wapqakIDQ1FRkaGpo2Njc0jH8fMzOyR93EvIQRKS0thbGwM47uT09eipUuX4ptvvsEXX3wBd3d3ZGdn49ixY7h9+3atH+uuoqIiKBSKOts/1RxHShEREREREVGTte9MCl7adFyrIAUAN7IK8NKm49h3JqXWj5mZmYmDBw/iww8/xMCBA+Hk5ARPT0/Mnz8fTz/9tKbdvZfvJSQkQCaTYdu2bejbty8MDAzg4eGBCxcuICoqCu7u7jA2Nsbjjz+O9PR0zT4eNoJp48aNcHd3h4mJCWxsbDB+/HikpaVpng8LC4NMJsPvv/+OXr16QV9fH4cOHdK6fG/JkiVYv349fvnlF8hkMshkMoSFhWHQoEGYNWuW1vHS09OhUCi0Rlnda/fu3Xj55ZcxatQoODs7o3v37pg6dSrmzp2raaNWq7Fy5Uq0a9cO+vr6cHR0xAcffKB5/vTp0xg0aBAMDAzQqlUrzJgxAzk5OeVekw8++AC2trZwcXEBAFy9ehWjR4+Gubk5WrZsiWeeeQYJCQlar4WnpyeMjIxgbm4OX19fJCYmVvra0qNjUYqIiIiI6FEYGADx8WULb1lPVLFa7CdCCOQVlVRpuVNQjMW7z6KiC/Xurluy+xzuFBRXaX9CVO2Sv7ujjHbt2oXCwsJqnd/ixYuxYMECHD9+HLq6uhg/fjzeeustfPrppzh48CAuXbqERYsWVXl/xcXFeP/99xETE4Ndu3YhISEBAQEB5drNmzcPK1asQGxsLLp166b13Ny5czF69GgMGzYMKSkpSElJgY+PD6ZNm4bNmzdrneOmTZtgZ2eHQYMGVZjHxsYGf/31l1Zh7X7z58/HihUrsHDhQpw7dw6bN2+GtbU1ACA3Nxd+fn5o0aIFoqKisH37dhw4cKBccSw0NBRxcXH4888/8dtvv6G4uBh+fn4wMTHBwYMHER4eDmNjYwwbNgxFRUUoKSnBiBEj0L9/f5w6dQoRERGYMWMG7/xYx3j5HhERERHRo5DLAZVK6hREDVst9pP84lJ0WrS/VvYlANzILkDXJX9Uqf259/xgqHj422hdXV2EhIRg+vTpWLt2Ldzc3NC/f3+MHTu2XMHnfnPnzoWfnx8A4LXXXsO4ceMQGhoKX19fAMDUqVOrNYfUlClTNI/btGmDzz77DB4eHsjJydG6PO+9997D0KFDK9yHsbExDAwMUFhYqHXJ4XPPPYdZs2bhl19+wejRowEAISEhCAgIqLSYs3r1ajz//POwsbFB586d4ePjg2eeeUYzt9adO3fw6aef4osvvoC/vz8AoG3btujTpw8AYPPmzSgoKMCGDRtgZGQEAPjiiy8wfPhwfPjhh5rilZGREdatW6e5bG/Tpk1Qq9VYt26dJltwcDDMzc0RFhYGd3d3ZGVl4amnnkLbtm0BAK6urlV+nalmOFKKiIiIKlXfk8ISERE1FSNHjkRycjJ2796NYcOGISwsDG5ubg8tKN1btLpbYOnatavWunsvv3uY6OhoDB8+HI6OjjAxMUH//v0BAElJSVrt3N3dq7zPu5RKJSZNmoSgoCAAwPHjx3HmzJkKR2Ld1alTJ5w5cwZHjhzBlClTkJaWhuHDh2PatGkAgNjYWBQWFmLw4MEVbh8bG4vu3btrClIA4OvrC7Vajbi4OM26rl27as0jFRMTg0uXLsHExEQzkq1ly5YoKCjA5cuX0bJlSwQEBMDPzw/Dhw/Hp59+ipSU2r+0k7RxpBQRERFVSIpJYYkapaIi4N13yx5/8AHAyXSJyqvFfmKgp4Nz7/lVqW1k/C0EBEc9tF1IoAc8nVtW6djVoVQqMXToUAwdOhQLFy7EtGnTsHjx4gcWbfT09DSP747ouX+dWq2u0vHvXurm5+eHH374AZaWlkhKSoKfnx+Kioq02t5b5KmOadOmoUePHrh27RqCg4MxaNAgODk5PXAbuVwODw8PeHh44PXXX8emTZswadIkvPvuuzCopcug7z+fnJwc9OrVCz/88EO5tpaWlgDKRk69+uqr2LdvH7Zu3YoFCxbgzz//RO/evWslE5XHkVJERERUjhSTwhI1WsXFwKpVZUtxsdRpiBqmWuwnMpkMhgrdKi1921uitZkSlc0KJEPZBy5921tWaX+POr9Qp06dkJub+0j7qI7z588jIyMDK1asQN++fdGxY8dqjbK6l0KhQGlpabn1Xbt2hbu7O7777jts3rxZ63LBqurUqROAsiJa+/btYWBgUOlE6a6uroiJidF6HcPDwyGXyzUTmlfEzc0NFy9ehJWVFdq1a6e13HsHw549e2L+/Pk4fPgwunTpgs2bN1f7fKjqWJQiIiIiLaVqgaW/nnvgpLBLfz3HS/mIiKjB05HLsHh4WcHj/nLS3a8XD+8EHXntTmadkZGBQYMGYdOmTTh16hTi4+Oxfft2rFy5Es8880ytHutBHB0doVAo8Pnnn+PKlSvYvXs33n///RrtS6VS4dSpU4iLi8PNmzdRfE9xcdq0aVixYgWEEHj22WcfuJ/nn38en3zyCY4ePYrExESEhYVh5syZ6NChAzp27AilUom3334bb731FjZs2IDLly/jyJEj+P777wEAEyZMgFKphL+/P86cOYO///4br7zyCiZNmqS53LEiEyZMgIWFBZ555hkcPHgQ8fHxCAsLw6uvvopr164hPj4e8+fPR0REBBITE/HHH3/g4sWLnFeqjrEoRURERFoi42+VGyF1LwEgJasAkfG36i8UERFRDQ3r0hpfT3SDjZlSa72NmRJfT3Srk0vSjY2N4eXlhU8++QT9+vVDly5dsHDhQkyfPh1ffPFFrR+vMpaWlggJCcH27dvRqVMnrFixAqtWrarRvqZPnw4XFxe4u7vD0tIS4eHhmufGjRsHXV1djBs3Dkql8gF7Afz8/PDrr79i+PDh6NChA/z9/dGxY0f88ccf0NUtm2Fo4cKFeOONN7Bo0SK4urpizJgxmhFehoaG2L9/P27dugUPDw88//zzGDx48ENfV0NDQ/z7779wdHTEc889B1dXV0ydOhUFBQUwNTWFoaEhzp8/j5EjR6JDhw6YMWMGZs6ciRdeeKFGrxdVjUxU9Z6WzUh2djbMzMyQlZUFU1NTqeMQERHVq19OXsdrW04+tN2nY3vgmR52dR+IqKHLzQXu3sEqJweo4bwsRE1aDftJQUEB4uPj4ezs/NBix8OUqgUi428h7U4BrEyU8HRuWesjpJqrhIQEtG3bFlFRUXBzc5M6DtWTB/XPqtZVONE5ERERabEyqdo//VVtR0RE1BDoyGXwbttK6hhNSnFxMTIyMrBgwQL07t2bBSmqNl6+R0RERFq62ZtBoVP5J8d3J4Wtyl2KiIiIqOkKDw9H69atERUVhbVr10odhxohjpQiIiIijVK1wBvbYlBU+uCr++tiUlgiIiJqXAYMGADOCESPgkUpIiIiAgAIIbB49xnsO3sDCh05Zg5shy1RSeUmPR/r6VAnk8ISNVoGBsCZM/89JqLy2E+IqAIsShEREREA4PO/LmHTkSTIZMCasT3wRNfWmDWonWZS2GMJt7HxSCKiEm5DCAGZjCOliAAAcjnQubPUKYgaNvYTIqoA55QiIiIi/BiZhNV/XgAALH26M57oWjYS6u6ksM/0sMObw1xgpNDBpbQcHLp0U8q4RERERNQEsChFRETUzP1x9gbe/fk0AGDWwHaY7K2qsJ2pUg/P97IHAASHJ9RTOqJGoKgIWLKkbCkqkjoNUcPEfkJEFWBRioiIqBk7lnALr/x4AmoBjHF3wBuPdXhge38fFQDgr/NpiL+ZWw8JiRqB4mJg6dKypbhY6jREDRP7CRFVgEUpIiKiZupC6h1MCYlCYYkaQ1yt8MGzXR46T1QbS2MMdLEEAKw/nFAPKYmIiIioqWJRioiIqBlKzsyHf1AksgtK4OZojs/HuUFXp2r/FgT6OgMAfoq+hjsF/LSbiIioriQkJEAmk+HkyZMAgLCwMMhkMmRmZkqai6i2sChFRETUzGTmFWFyUCRSsgrQzsoYQQEeMFDoVHn7vu0t0NbSCDmFJfgp+lodJiUiImrc0tPT8dJLL8HR0RH6+vqwsbGBn58fwsPDa7Q/Hx8fpKSkwMzMDAAQEhICc3PzWkxMVL9YlCIiImpG8otKMXX9MVxKy4GNqRIbpnjC3FBRrX3IZDIE/G+01PrDCVCrRV1EJSIiavRGjhyJEydOYP369bhw4QJ2796NAQMGICMjo0b7UygUsLGxeejl9kSNBYtSREREzURJqRqv/Hgc0Ym3YarUxYapnrA1N6jRvka62cFEqYuEjDz8HZdWy0mJiIgav8zMTBw8eBAffvghBg4cCCcnJ3h6emL+/Pl4+umnAZR90PP111/j8ccfh4GBAdq0aYOffvqp0n3ee/leWFgYAgMDkZWVBZlMBplMhiVLltTT2RHVDhaliIiImgEhBN79+QwOxKZBX1eO7wM80MHapMb7M1ToYqyHAwAghBOeExGRFHJzK18KCqreNj+/am2rydjYGMbGxti1axcKCwsrbbdw4UKMHDkSMTExmDBhAsaOHYvY2NiH7t/Hxwdr1qyBqakpUlJSkJKSgrlz51Y7J5GUWJQiIiJqBlb/eQFbj12FXAZ8Pq4nPFQtH3mfk71VkMuAgxdv4mLqnVpISdRIKZVAZGTZolRKnYaoYaqLfmJsXPkycqR2Wyuryts+/rh2W5Wq4nbVpKuri5CQEKxfvx7m5ubw9fXFO++8g1OnTmm1GzVqFKZNm4YOHTrg/fffh7u7Oz7//POH7l+hUMDMzAwymQw2NjawsbGBcQ1yEkmJRSkiIqImbmNEAj7/6xIA4INnu+Kxzja1sl+HloYY2skaABDM0VLUnOnoAB4eZYtO1W8aQNSsNNN+MnLkSCQnJ2P37t0YNmwYwsLC4ObmhpCQEE0bb29vrW28vb2rNFKKqCnQlToAERER1Z29p1OwaPdZAMDsIR0wztOxVvcf4OOM/WdTsfP4Nbzt1xFmhnq1un8iIqJK5eRU/tz9ha+0B8x/KL9vrEZCQo0jVUSpVGLo0KEYOnQoFi5ciGnTpmHx4sUICAio1eMQNUYcKUVERNRERVzOwOtbTkIIYIKXI14d3K7Wj9G7TUt0tDFBQbEaW6KSan3/RI1CURHw0UdlS1GR1GmIGqa66CdGRpUv918i+KC2BgZVa1tLOnXqhNx75qg6cuSI1vNHjhyBq6trlfalUChQWlpaa9mI6huLUkRERE3QueRszNhwDEWlagzrbIP3nulSJ7ePlslkmOLrDADYEJGIklJ1rR+DqMErLgbeeqtsKS6WOg1Rw9QM+0lGRgYGDRqETZs24dSpU4iPj8f27duxcuVKPPPMM5p227dvR1BQEC5cuIDFixcjMjISs2bNqtIxVCoVcnJyEBoaips3byIvL6+uToeoTrAoRURE1MRcvZUH/+BI3CksgadzS6wZ2wM68tovSN31dA9btDDUw/XMfByITa2z4xARETUmxsbG8PLywieffIJ+/fqhS5cuWLhwIaZPn44vvvhC027p0qXYsmULunXrhg0bNuDHH39Ep06dqnQMHx8fvPjiixgzZgwsLS2xcuXKujodojohE0IIqUM0NNnZ2TAzM0NWVhZMTU2ljkNERFRlGTmFGLU2Aldu5qKjjQm2vuANM4O6n+fpo/3n8eXfl+Hp3BLbXvB++AZETUlu7n935srJqdXLfIiajBr2k4KCAsTHx8PZ2RnKJnh3S5lMhp9//hkjRoyQOgpRtT2of1a1rsKRUkRERE1EXlEJpqw/his3c2FnboD1UzzrpSAFAJN6q6AjlyEy/hbOJmfVyzGJiIiIqHFjUYqIiKgJKC5V4+UfjiPmaiZaGOph/RRPWJvW3yfKNmZKPN7FBgAQHJ5Qb8clIiIiosaLRSkiIqJGTgiBt3ecQlhcOpR6cnwf4IF2Vsb1niPwfxOe7z6ZjJs5hfV+fCIiosZGCMFL96hZY1GKiIiokVux7zx2Hr8OHbkMX01wg5tjC0lyuDmao7u9GYpK1fjxaJIkGYiIiIio8WBRioiIqBH7/lA8vvnnCgBgxXNdMaijtWRZZDIZAnxVAICNRxJRVKKWLAtRvVIqgb//Llua4ETMRLWC/YSIKsCiFBERUSP1y8nreP+3cwCAt4a5YJS7g8SJgCe72sLSRB9pdwrx+5kUqeMQ1Q8dHWDAgLJFR0fqNEQNE/sJEVWARSkiIqJG6ODFdMzdHgMACPBR4aX+bSVOVEahK8dELycAnPCciIiIiB6MRSkiIqJG5vS1LLy4MRrFpQJPdWuNRU91gkwmkzqWxngvRyh05Dh5NRMnkm5LHYeo7hUXA19+WbYUF0udhqhhYj8hogqwKEVERNSIJGbkIjAkErlFpfBt1wofj+4OubzhFKQAwNJEH091bw0ACDmcIG0YovpQVATMmlW2FBVJnYaoYWI/IaIKsChFRETUSKTfKcSk7yNxM6cInW1NsXZiL+jrNsx5Oab4OgMA9pxKQWp2gcRpiIiIGp6wsDDIZDJkZmbW63FDQkJgbm7+SPtISEiATCbDyZMnK21TG+dXW6+RSqXCmjVrNF/LZDLs2rXrkfYJAAMGDMDrr7/+yPtpzliUIiIiagRyCksQGBKJpFt5cGhpgOBAD5go9aSOVakudmbwULVAiVpg05FEqeMQERHVK5lM9sBlyZIlUkdsEGJiYvD000/DysoKSqUSKpUKY8aMQVpaGgDAx8cHKSkpMDMze6TjREVFYcaMGbURWcvOnTvx/vvva76+v/hVU+np6XjppZfg6OgIfX192NjYwM/PD+Hh4Y+874ZGV+oARERE9GBFJWq8uDEaZ65no5WRAhuneMHKpOHfTjvAxxlRCbex+WgSZg5sB6VewxzVRUREVNtSUv67A+3WrVuxaNEixMXFadYZGxvj2LFj1d5vUVERFApFrWSUWnp6OgYPHoynnnoK+/fvh7m5ORISErB7927k5uYCABQKBWxsbB75WJaWlo+8j3vd/T60bNmyVvd718iRI1FUVIT169ejTZs2SE1NRWhoKDIyMurkeIB0P1scKUVERNSAqdUCc7fH4NClmzBU6CA40AMqCyOpY1WJX2dr2JopkZFbhF9jkqWOQ0REVG9sbGw0i5mZGWQymdY6Y2NjTdvo6Gi4u7vD0NAQPj4+WsWrJUuWoEePHli3bh2cnZ2hVJZ9KJWZmYlp06bB0tISpqamGDRoEGJiYjTbxcTEYODAgTAxMYGpqSl69epVrgi2f/9+uLq6wtjYGMOGDdMqpKnVarz33nuwt7eHvr4+evTogX379j3wnPfu3YsOHTrAwMAAAwcOREJCwgPbh4eHIysrC+vWrUPPnj3h7OyMgQMH4pNPPoGzc9k0APdfvnf30sPffvsNLi4uMDQ0xPPPP4+8vDysX78eKpUKLVq0wKuvvorS0lLNsR42guntt99Ghw4dYGhoiDZt2mDhwoUovmdC/sq+D/devjdgwAAkJiZi9uzZmhFxubm5MDU1xU8//aR1vF27dsHIyAh37twplyUzMxMHDx7Ehx9+iIEDB8LJyQmenp6YP38+nn76aa12L7zwAqytraFUKtGlSxf89ttvmud37NiBzp07Q19fHyqVCh9//LHWcVQqFd5//31MnjwZpqammpFkhw4dQt++fWFgYAAHBwe8+uqrmiJhXWBRioiIqIESQuD/9sRid0wydOUyrJ3YC93szaWOVWW6OnJM8lYBAILDEyCEkDYQERE1KblFudVeStQlmu1L1CXILcpFfnF+lfZbV9599118/PHHOHbsGHR1dTFlyhSt5y9duoQdO3Zg586dmjmcRo0ahbS0NPz++++Ijo6Gm5sbBg8ejFu3bgEAJkyYAHt7e0RFRSE6Ohrz5s2Dnt5/l/3n5eVh1apV2LhxI/79918kJSVh7ty5muc//fRTfPzxx1i1ahVOnToFPz8/PP3007h48WKF53D16lU899xzGD58OE6ePIlp06Zh3rx5DzxvGxsblJSU4Oeff67W/wh5eXn47LPPsGXLFuzbtw9hYWF49tlnsXfvXuzduxcbN27EN998U64Q9CAmJiYICQnBuXPn8Omnn+K7777DJ598otWmou/DvXbu3Al7e3u89957SElJQUpKCoyMjDB27FgEBwdrtQ0ODsbzzz8PExOTcvsxNjaGsbExdu3ahcLCwgrzqtVqPP744wgPD8emTZtw7tw5rFixAjo6ZaPSo6OjMXr0aIwdOxanT5/GkiVLsHDhQoSEhGjtZ9WqVejevTtOnDiBhQsX4vLlyxg2bBhGjhyJU6dOYevWrTh06BBmzZpV5dey2gSVk5WVJQCIrKwsqaMQEVEz9nXYJeH09m/C6e3fxM/Hr0kdp0Zu5RQKlwV7hdPbv4mjVzKkjkNUN3JyhADKlpwcqdMQNUw17Cf5+fni3LlzIj8/v9xzWIJqL9vObNNsv+3MNoElEP2D+2vt12KlRYXb1lRwcLAwMzMrt/7vv/8WAMSBAwc06/bs2SMAaM538eLFQk9PT6SlpWnaHDx4UJiamoqCggKt/bVt21Z88803QgghTExMREhISKV5AIhLly5p1n355ZfC2tpa87Wtra344IMPtLbz8PAQL7/8shBCiPj4eAFAnDhxQgghxPz580WnTp202r/99tsCgLh9+3aFOYQQ4p133hG6urqiZcuWYtiwYWLlypXixo0b5V6ju/uoKPsLL7wgDA0NxZ07dzTr/Pz8xAsvvKD52snJSXzyySearwGIn3/+udJcH330kejVq5fm64q+D0II0b9/f/Haa69VehwhhDh69KjQ0dERycnJQgghUlNTha6urggLC6v0+D/99JNo0aKFUCqVwsfHR8yfP1/ExMRont+/f7+Qy+UiLi6uwu3Hjx8vhg4dqrXuzTff1PoeOTk5iREjRmi1mTp1qpgxY4bWuoMHDwq5XF5hH3xQ/6xqXYUjpYiIiBqgHdHXsOL38wCABU+6YkRPO4kT1UwLIwWe/V/24PB4idMQ1RF9feC338oWfX2p0xA1TOwnlerWrZvmcevWrQFAM9E3ADg5OWnNiRQTE4OcnBy0atVKM6rG2NgY8fHxuHz5MgBgzpw5mDZtGoYMGYIVK1Zo1t9laGiItm3bah337jGzs7ORnJwMX19frW18fX0RGxtb4TnExsbCy8tLa523t/dDz/2DDz7AjRs3sHbtWnTu3Blr165Fx44dcfr06Uq3uT+7tbU1VCqV1iWR1tbWWq/hw2zduhW+vr6aSysXLFiApKQkrTb3fx+qytPTE507d8b69esBAJs2bYKTkxP69etX6TYjR45EcnIydu/ejWHDhiEsLAxubm6akU4nT56Evb09OnToUOH2sbGxFX7/Ll68qHVZo7u7u1abmJgYhISEaP1c+fn5Qa1WIz6+bv6P40TnREREDczfcWl4a8cpAMCMfm0wrW8biRM9mgAfZ/wYeRX7z97Atdt5sG9hKHUkotqlqws8+aTUKYgatjroJznzc6q9jb7ufwWxZ12fRc78HMhl2mM1El5LeNRo1XLvZXUymQxA2eVZdxkZac8lmZOTg9atWyMsLKzcvszNzQGUzYE0fvx47NmzB7///jsWL16MLVu24Nlnny13zLvHFRJdZt+qVSuMGjUKo0aNwrJly9CzZ0+sWrVKU8S5X0XZK1p372v4IBEREZgwYQKWLl0KPz8/mJmZYcuWLeXmYLr/+1Ad06ZNw5dffol58+YhODgYgYGBmu91ZZRKJYYOHYqhQ4di4cKFmDZtGhYvXoyAgAAYGBjUOMu9KvrZeuGFF/Dqq6+Wa+vo6Fgrx7wfi1JEREQNyImk23h503GUqgWe7WmHecM6Sh3pkbnYmMCnbSscvpyBjUcSMf9xV6kjERFRE2CkeLQbf+jKdaGrKP+W+FH3W9fc3Nxw48YN6OrqQqVSVdquQ4cO6NChA2bPno1x48YhODhYU5R6EFNTU9ja2iI8PBz9+/fXrA8PD4enp2eF27i6umL37t1a644cOVK1E7qHQqFA27Zt63Ri7fsdPnwYTk5OePfddzXrEhMTa7QvhUKhNRLprokTJ+Ktt97CZ599hnPnzsHf37/a++7UqRN27doFoGx03bVr13DhwoUKR0u5uroiPDxca114eDg6dOigmXeqIm5ubjh37hzatWtX7Xw1xcv3iIiIGojL6TmYEhKF/OJS9OtgiZXPd4Nc/uBP0RqLQN+yu+hsibyKvKKSh7QmamSKi4GQkLLlnrs1EdE92E9qzZAhQ+Dt7Y0RI0bgjz/+QEJCAg4fPox3330Xx44dQ35+PmbNmoWwsDAkJiYiPDwcUVFRcHWt+odCb775Jj788ENs3boVcXFxmDdvHk6ePInXXnutwvYvvvgiLl68iDfffBNxcXHYvHlzuUm17/fbb79h4sSJ+O2333DhwgXExcVh1apV2Lt3L5555pnqvCSPpH379khKSsKWLVtw+fJlfPbZZ/j5559rtC+VSoV///0X169fx82bNzXrW7Rogeeeew5vvvkmHnvsMdjb21e6j4yMDAwaNAibNm3CqVOnEB8fj+3bt2PlypWa16V///7o168fRo4ciT///BPx8fH4/fffNXdIfOONNxAaGor3338fFy5cwPr16/HFF19oTWZfkbfffhuHDx/GrFmzcPLkSVy8eBG//PJLnU50zqIUERFRA5CaXYDJ30fidl4xutub4esJbtDTaTp/pgd1tIJjS0Nk5Rfj5xPXpY5DVLuKioDAwLKlqEjqNEQNE/tJrZHJZNi7dy/69euHwMBAdOjQAWPHjkViYiKsra2ho6ODjIwMTJ48GR06dMDo0aPx+OOPY+nSpVU+xquvvoo5c+bgjTfeQNeuXbFv3z7s3r0b7du3r7C9o6MjduzYgV27dqF79+5Yu3Ytli1b9sBjdOrUCYaGhnjjjTfQo0cP9O7dG9u2bcO6deswadKkar0mj+Lpp5/G7NmzMWvWLPTo0QOHDx/GwoULa7Sv9957DwkJCWjbtm25+aemTp2KoqKicndXvJ+xsTG8vLzwySefoF+/fujSpQsWLlyI6dOn44svvtC027FjBzw8PDBu3Dh06tQJb731lmaUlpubG7Zt24YtW7agS5cuWLRoEd577z0EBAQ88NjdunXDP//8gwsXLqBv377o2bMnFi1aBFtb2xq9HlUhE1JdONqAZWdnw8zMDFlZWTA1NZU6DhERNXHZBcUYvTYC52/cgbOFEX560RutjJveJLDrDl7B/+2JRXsrY/wxu99D51IgajRyc4G7E+zm5ACPMO8IUZNVw35SUFCA+Ph4ODs7Q6lU1mFAorq1ceNGzJ49G8nJyVAoFFLHqRUP6p9Vras0nY9giYiIGqGC4lJMX38M52/cgaWJPjZM8WySBSkAGO3hACOFDi6m5SD8UobUcYiIiIjqXF5eHi5fvowVK1bghRdeaDIFqdrCohQREZFEStUCs7eexNH4WzDW10VIoAccWjbdO9OZKvXwfK+yORSCw+vmtsJEREREDcnKlSvRsWNH2NjYYP78+VLHaXBYlCIiIpKAEAJLdp/F72duQKEjx7eTe6GzrZnUseqcv48KAPBXXBoSbtbfnXWIiIiIpLBkyRIUFxcjNDQUxncvYSUNFqWIiIgk8MVfl7DxSCJkMuCTMT3g09ZC6kj1oo2lMQa4WEIIYH1EgtRxiIiIiEhCLEoRERHVsy2RSfj4zwsAgCXDO+PJbq0lTlS/An2dAQDbj13DnQLeFpyIiB6O9+cianhqo1/q1kIOIiIiqqI/z6XinZ9PAwBmDmyruZytOenX3gJtLY1wOT0XP0Vf0xSpiBotfX1g27b/HhNReTXsJ3p6egDKJos2MDCoi2REVEN5eXkA/uunNcGiFBERUT05lnALszYfh1oAo93tMfcxF6kjSUImkyHAR4WFv5zF+sMJ8PdWQS6XSR2LqOZ0dYFRo6ROQdSw1bCf6OjowNzcHGlpaQAAQ0NDyGT8m0EkJSEE8vLykJaWBnNzc+jo6NR4XyxKERER1YMLqXcwdf0xFJaoMbijFZY927VZ/1P9nJs9Vu6PQ0JGHsIupGFQR2upIxERUQNlY2MDAJrCFBE1DObm5pr+WVMsShEREdWx5Mx8+AdFIiu/GG6O5vhivBt0dZr3tI5G+roY6+GA7w7GIzg8gUUpatxKSoCffy57/OyzZSNCiEjbI/QTmUyG1q1bw8rKCsXFnIuQqCHQ09N7pBFSd/EvJhERUR3KzCuCf1AkUrIK0M7KGN/7e8BA8eh/wJuCyd4qfH8oHgcv3sTF1Dtob20idSSimiksBEaPLnuck8OiFFFFaqGf6Ojo1MqbYCJqOJr3x7RERER1qKC4FNPWH8PFtBzYmCqxfoonWhgppI7VYDi0NMQQ17IRUiGHE6QNQ0RERET1jkUpIiKiOlBSqsaszSdwLPE2TJW6WD/FE3bmvGvQ/e7eeW/n8evIyuMlGURERETNCYtSREREtUwIgQW7zuBAbCoUunKs8/eAiw0vTatI7zYt0dHGBPnFpdh6LEnqOERERERUj1iUIiIiqmWf/HkBW6KuQi4DPh/XE57OLaWO1GDJZDIE+qoAAOsPJ6KkVC1tICIiIiKqNyxKERER1aKNRxLx2V+XAAD/N6Ir/Do/2m1ym4NnetihhaEermfm40BsqtRxiIiIiKiesChFRERUS34/nYJFv5wBALw+pD3GezlKnKhxUOrpYJxn2WsVHJ4gbRgiIiIiqje8Xy0REVEtOHIlA69tOQkhgPFejnhtcHupIzUqk7yd8M2/V3A0/hbOJmehs62Z1JGIqk6hAIKD/3tMROWxnxBRBWRCCCF1iIYmOzsbZmZmyMrKgqmpqdRxiIiogYtNycbotRG4U1gCv87W+GpCL+jIZVLHanRmbT6O306lYFQve3w0qrvUcYiIiIiohqpaV+Hle0RERI/g6q08+AdF4k5hCTxVLfHp2J4sSNXQ3QnPf4lJRkZOobRhiIiIiKjOsShFRERUQ7dyi+AfFIm0O4VwsTbBd/7uUOrpSB2r0XJzbIFu9mYoKlHjx8gkqeMQVV1JCbBnT9lSUiJ1GqKGif2EiCrAohQREVEN5BWVIDAkCldu5sLO3ADrp3jCzEBP6liNmkwm04yW2ngkEcWlamkDEVVVYSHw1FNlSyFH+RFViP2EiCrAohQREVE1FZeq8fIPxxFzNRPmhnpYP8UTNmZKqWM1CU92tYWliT5Sswux93SK1HGIiIiIqA6xKEVERFQNQgjM23EaYXHpUOrJERTggXZWxlLHajIUunJM8HIEAIQcTpA2DBERERHVKRaliIiIquHDfXHYcfwadOQyfDXBDW6OLaSO1ORM8HKCQkeOE0mZOHk1U+o4RERERFRHWJQiIiKqoqBD8Vj7z2UAwPLnumJQR2uJEzVNlib6eKp7awBAcHi8xGmIiIiIqK6wKEVERFQFu2OS8d5v5wAAb/q5YLS7g8SJmrZAH2cAwJ5TKUjNLpA4DRERERHVBRaliIiIHuLQxZt4Y9tJAECAjwovD2grbaBmoKu9GdydWqBELfDDkUSp4xARERFRHdCVOgAREVFDduZ6Fl7YeAzFpQJPdmuNRU91gkwmkzpWsxDo64xjibfxw9EkvDywHZR6OlJHIqqYQgF88cV/j4moPPYTIqoAi1JERESVSMzIRUBwJHKLSuHTthVWj+4OuZwFqfryWGdrtDZTIiWrAL+dSsHzveyljkRUMT09YOZMqVMQNWzsJ0RUAV6+R0REVIH0O4WYHBSJmzlF6NTaFN9M6gV9XY7UqU96OnJM8nYCUDbhuRBC4kREREREVJtYlCIiIrpPTmEJAkMikZiRB4eWBgiZ4gETpZ7UsZqlcR6O0NeV42xyNqISbksdh6hipaVAWFjZUloqdRqihon9hIgqwKIUERHRPYpK1HhxYzTOXM9GKyMFNkzxgpWJUupYzVYLIwWe7WkHAAg5HC9xGqJKFBQAAweWLQW8WyRRhdhPiKgCLEoRERH9j1otMHd7DA5duglDhQ6CAz3gbGEkdaxmL8BXBQDYfzYV1zPzpQ1DRERERLWGRSkiIiIAQgh8sDcWu2OSoSuXYe3EXuhmby51LALQ0cYUPm1boVQtsCEiQeo4RERERFRLJC9Kffnll1CpVFAqlfDy8kJkZOQD269ZswYuLi4wMDCAg4MDZs+ejYJ7hn+WlpZi4cKFcHZ2hoGBAdq2bYv333+fk6MSEdEDffvvFXx/qOzysFWjuqNfB0uJE9G9AnxUAIAtkVeRX8S5SIiIiIiaAl0pD75161bMmTMHa9euhZeXF9asWQM/Pz/ExcXBysqqXPvNmzdj3rx5CAoKgo+PDy5cuICAgADIZDKsXr0aAPDhhx/i66+/xvr169G5c2ccO3YMgYGBMDMzw6uvvlrfp0hERI3AzuPXsPz38wCAd59wxYj/zWFEDcdgV2s4tDTA1Vv5+PnEdYz3cpQ6EhERERE9IklHSq1evRrTp09HYGAgOnXqhLVr18LQ0BBBQUEVtj98+DB8fX0xfvx4qFQqPPbYYxg3bpzW6KrDhw/jmWeewZNPPgmVSoXnn38ejz322ENHYBERUfMUFpeGt346BQCY3tcZ0/u1kTgRVURHLoO/twpA2YTnHAFNRERE1PhJVpQqKipCdHQ0hgwZ8l8YuRxDhgxBREREhdv4+PggOjpaU2C6cuUK9u7diyeeeEKrTWhoKC5cuAAAiImJwaFDh/D444/X4dkQEVFjdPJqJl7adBwlaoERPWwx/3FXqSPRA4xyd4ChQgcXUnMQfilD6jhERERE9Igku3zv5s2bKC0thbW1tdZ6a2trnD9/vsJtxo8fj5s3b6JPnz4QQqCkpAQvvvgi3nnnHU2befPmITs7Gx07doSOjg5KS0vxwQcfYMKECZVmKSwsRGFhoebr7OzsRzw7IiJq6K6k52BKSBTyi0vRt70FVj7fHXK5TOpY9ABmBnp4vpc9NkQkIuRwPPq0t5A6ElEZPT1g5cr/HhNReewnRFQBySc6r46wsDAsW7YMX331FY4fP46dO3diz549eP/99zVttm3bhh9++AGbN2/G8ePHsX79eqxatQrr16+vdL/Lly+HmZmZZnFwcKiP0yEiIomkZRdgclAkbuUWoZu9GdZO7AWFbqP6k9hs+f9vwvPQ82lIzMiVNgzRXQoF8OabZYtCIXUaooaJ/YSIKiATEk3KUFRUBENDQ/z0008YMWKEZr2/vz8yMzPxyy+/lNumb9++6N27Nz766CPNuk2bNmHGjBnIycmBXC6Hg4MD5s2bh5kzZ2ra/N///R82bdpU6QisikZKOTg4ICsrC6amprVwtkRE1FBkFxRjzDdHEJuSDVUrQ/z0kg8sjPWljkXVEBAcibC4dAT6qrB4eGep4xARERHRfbKzs2FmZvbQuopkHwsrFAr06tULoaGhmnVqtRqhoaHw9vaucJu8vDzI5dqRdXR0AEAz4WllbdRqdaVZ9PX1YWpqqrUQEVHTU1BcihkbjiE2JRsWxvrYMMWLBalGKOB/o6W2H7uGnMISacMQAUBpKRAVVbaUlkqdhqhhYj8hogpINqcUAMyZMwf+/v5wd3eHp6cn1qxZg9zcXAQGBgIAJk+eDDs7OyxfvhwAMHz4cKxevRo9e/aEl5cXLl26hIULF2L48OGa4tTw4cPxwQcfwNHREZ07d8aJEyewevVqTJkyRbLzJCIi6ZWqBeZsO4kjV27BWF8XIYEecGxlKHUsqoF+7S3RxtIIV9Jz8dOxqwjwdZY6EjV3BQWAp2fZ45wcwMhI2jxEDRH7CRFVQNKi1JgxY5Ceno5Fixbhxo0b6NGjB/bt26eZ/DwpKUlr1NOCBQsgk8mwYMECXL9+HZaWlpoi1F2ff/45Fi5ciJdffhlpaWmwtbXFCy+8gEWLFtX7+RERUcMghMDSX89i7+kbUOjI8e2kXuhiZyZ1LKohuVyGQB8VFv5yFusjEjHZW8VJ6omIiIgaIcnmlGrIqnrtIxERNQ5f/HURq/64AJkM+HxcTzzVzVbqSPSIcgtL0Ht5KO4UlCA4wAMDO1pJHYmas9xcwNi47DFHgBBVjP2EqFlp8HNKERER1YetUUlY9ccFAMDipzqxINVEGOnrYox72d1yg8LjJU5DRERERDXBohQRETVZB86lYv7O0wCAlwe05dxDTYy/jwoyGXDw4k1cSrsjdRwiIiIiqiYWpYiIqEmKTryFmZuPQy2AUb3s8aafi9SRqJY5tDTEENeyeShDDidIG4aIiIiIqo1FKSIianIupt7BlJBjKCxRY1BHKyx/ritkMk6E3RQF+qoAADuiryMrr1jaMERERERULZLefY+IiKi2pWTlY3JQJLLyi9HT0RxfjneDrg4/g2mqvNu0QkcbE5y/cQdbjyVhRr+2Ukei5khPD1i8+L/HRFQe+wkRVYB336sA775HRNQ4ZeUVY9Q3h3EhNQdtLY3w04s+aGGkkDoW1bEtkUmYt/M07MwN8O9bA6Ej56g4IiIiIinx7ntERNSsFBSXYtqGKFxIzYG1qT42TPViQaqZGNHTDi0M9XA9Mx9/nkuVOg4RERERVRGLUkRE1OiVlKrxyo8nEJVwGyZKXayf4gk7cwOpY1E9UerpYJynIwAgODxe4jTULKnVwNmzZYtaLXUaooaJ/YSIKsCiFBERNWpCCCz85Qz+PJcKha4c6ya7o6MNL71ubib2doKOXIaj8bdwLjlb6jjU3OTnA126lC35+VKnIWqY2E+IqAIsShERUaP2yYGL+DHyKuQy4LOxPeHVppXUkUgCtuYGGNbFBgAQcpijpYiIiIgaAxaliIio0dp0JBGfhV4EALw/ooumKEHN0xRfFQBg18lkZOQUShuGiIiIiB6KRSkiImqU9p1JwcJfzgAAXhvcHhO8nCRORFJzc2yBrnZmKCpR48fIJKnjEBEREdFDsChFRESNzpErGXh1y0kIAYzzdMTrQ9pLHYkaAJlMhsD/jZbaeCQRxaWcSJeIiIioIWNRioiIGpXzN7IxfcMxFJWo8Vgna/zfiC6QyWRSx6IG4slurWFhrI/U7EL8fuaG1HGIiIiI6AFYlCIiokbj2u08+AdF4k5BCTxVLfHZuJ7QkbMgRf/R19XBxN6OAIDgcE54TkRERNSQ6UodgIiIqCpu5RZhclAkUrML4WJtgu8mu0OppyN1LGqAxns54su/L+FEUiZOXs1EDwdzqSNRU6enB8yd+99jIiqP/YSIKiATQgipQzQ02dnZMDMzQ1ZWFkxNTaWOQ0TU7OUVlWD8d0dx8mombM2U2PGyD1qbGUgdixqwOVtPYueJ6xjRwxZrxvaUOg4RERFRs1LVugov3yMiogatuFSNmT8cx8mrmTA31MOGqZ4sSNFDBfo6AwD2nE5BWnaBxGmIiIiIqCIsShERUYMlhMC8Hafxd1w6lHpyfO/vgXZWJlLHokagq70Zejm1QHGpwKajSVLHoaZOrQYSEsoWNe/6SFQh9hMiqgCLUkRE1GCt3B+HHcevQUcuw5fj3dDLqYXUkagRCfRVAQA2H01EYUmptGGoacvPB5ydy5b8fKnTEDVM7CdEVAEWpYiIqEEKDo/H12GXAQDLn+uKwa7WEieixsavsw1amylxM6cIv8akSB2HiIiIiO7DohQRETU4v8Yk473fzgEA3vRzwWh3B4kTUWOkpyPHxN5OAMqKnLy3CxEREVHDwqIUERE1KOGXbmLOtpMQAvD3dsLLA9pKHYkasfGejtDXleNscjaOJd6WOg4RERER3YNFKSIiajDOXM/CCxujUVwq8GTX1lg0vDNkMpnUsagRa2GkwLM97QCUjZYiIiIiooaDRSkiImoQkjLyEBAchZzCEni3aYXVY7pDR86CFD26gP9NeL7/bCquZ3JyXSIiIqKGgkUpIiKS3M2cQkwOOoqbOYVwbW2Kbyb3gr6ujtSxqInoaGMK7zatUKoW2BiRKHUcIiIiIvofXakDEBFR85ZTWILA4CgkZOTBvoUB1gd6wFSpJ3UsamICfVWIuJKBHyOT8Nrg9jBQsOhJtUhXF3j55f8eE1F57CdEVAH+NiAiIskUlajx0qZonL6ehVZGCmyc6gUrU6XUsagJGuxqDYeWBrh6Kx+7Tl7HOE9HqSNRU6KvD3z5pdQpiBo29hMiqgAv3yMiIkmo1QJv/hSDgxdvwlChg+BADzhbGEkdi5ooHbkM/t4qAGUTngshpA1ERERERCxKERGRNJbtjcUvJ5OhK5dh7cRe6GZvLnUkauJGuTvAUKGDC6k5OHw5Q+o41JQIAaSnly0seBJVjP2EiCrAohQREdW7b/+9jHWH4gEAq0Z1R78OlhInoubAzEAPz/eyB1A2Woqo1uTlAVZWZUtentRpiBom9hMiqgCLUkREVK92Hr+GZXvPAwDefcIVI3raSZyImhN/HxUAIPR8GhIzcqUNQ0RERNTMsShFRET1JiwuDW/9dAoAML2vM6b3ayNxImpu2loao38HSwgBrD+cKHUcIiIiomaNRSkiIqoXMVcz8fIPx1GiFhjRwxbzH3eVOhI1U4G+KgDA9mNXkVNYIm0YIiIiomaMRSkiIqpzV9JzEBgShbyiUvRtb4GVz3eHXC6TOhY1U/3aW6KNhRHuFJZgR/Q1qeMQERERNVssShERUZ1Kyy7A5KBI3MotQjd7M6yd2AsKXf75IenI5TIE/G+0VMjhBKjVvAsUERERkRT4roCIiOpMdkEx/IOjcO12PlStDBEU4AEjfV2pYxFhpJs9TPR1EX8zF/9cSJc6DhEREVGzxHcGRERUJwpLSjFjwzHEpmTDwlgfG6Z4wcJYX+pYRAAAI31djPZwwPeH4hF8OAEDO1pJHYkaM11dwN//v8dEVB77CRFVQCaE4Jj1+2RnZ8PMzAxZWVkwNTWVOg4RUaNTqhZ49ccT2HM6Bcb6utgyoze62JlJHYtIS1JGHvqv+htCAAfm9Ec7K2OpIxERERE1CVWtq/DyPSIiqlVCCLz361nsOZ0ChY4c307qxYIUNUiOrQwxxNUaABByOF7iNERERETND4tSRERUq74Ku4z1EYmQyYDVY7rDp52F1JGIKhXoowIA7Ii+jqz8YmnDUOMlBJCbW7bwIgSiirGfEFEFWJQiIqJasy3qKj7aHwcAWPxUJzzVzVbiREQP5t22FVysTZBfXIptUVeljkONVV4eYGxctuTlSZ2GqGFiPyGiCrAoRUREtSI0NhXzfz4NAHh5QFsE+DpLnIjo4WQyGQJ9VQCA9REJKFXz03siIiKi+sKiFBERPbLoxNuYufk4StUCo3rZ400/F6kjEVXZMz3sYG6oh2u383EgNlXqOERERETNBotSRET0SC6l3cHU9VEoKFZjUEcrLH+uK2QymdSxiKrMQKGDcZ6OAIDgcE54TkRERFRfWJQiIqIaS8nKx+TvI5GZV4yejub4crwbdHX4p4Uan0m9naAjl+HIlVuITcmWOg4RERFRs8B3DkREVCNZecXwD4pEclYB2loaIcjfAwYKHaljEdWIrbkBhnW2AQCEhCdIG4aIiIiajC+//BIqlQpKpRJeXl6IjIx8YPs1a9bAxcUFBgYGcHBwwOzZs1FQUKB5XqVSQSaTlVtmzpxZ16dSJ1iUIiKiaisoLsW0DVG4kJoDa1N9bJjqhRZGCqljET2SuxOe7zp5Hbdyi6QNQ0RERI3e1q1bMWfOHCxevBjHjx9H9+7d4efnh7S0tArbb968GfPmzcPixYsRGxuL77//Hlu3bsU777yjaRMVFYWUlBTN8ueffwIARo0aVS/nVNtYlCIiomopKVXj1R9PICrhNkyUulg/xRN25gZSxyJ6ZL2cWqCrnRkKS9T4MTJJ6jjUmOjoAM8/X7bocMQoUYXYT6gZWr16NaZPn47AwEB06tQJa9euhaGhIYKCgipsf/jwYfj6+mL8+PFQqVR47LHHMG7cOK3RVZaWlrCxsdEsv/32G9q2bYv+/fvX12nVKhaliIioyoQQWPjLWfxxLhUKXTnWTXZHRxtTqWMR1QqZTKYZLbUxIhHFpWppA1HjoVQC27eXLUql1GmIGib2E2pmioqKEB0djSFDhmjWyeVyDBkyBBERERVu4+Pjg+joaE0R6sqVK9i7dy+eeOKJSo+xadMmTJkypdHeaIhFKSIiqrI1By7ix8gkyGXAZ2N7wqtNK6kjEdWqJ7u1hoWxPm5kF2DfmRtSxyEiIqJG6ubNmygtLYW1tbXWemtra9y4UfH/GOPHj8d7772HPn36QE9PD23btsWAAQO0Lt+7165du5CZmYmAgIDajl9vWJQiIqIq2XQkEZ+GXgQAvD+iC4Z1sZE4EVHt09fVwQQvRwBAcHi8xGmIiIioOQkLC8OyZcvw1Vdf4fjx49i5cyf27NmD999/v8L233//PR5//HHY2trWc9Law6IUERE91L4zKVj4yxkAwGuD22OCl5PEiYjqzoTejtDTkeF4UiZirmZKHYcag9xcQCYrW3JzpU5D1DCxn1AzY2FhAR0dHaSmpmqtT01NhY1NxR/uLly4EJMmTcK0adPQtWtXPPvss1i2bBmWL18OtVp7WoHExEQcOHAA06ZNq7NzqA8sShER0QMduZKBV7echBDAOE9HvD6kvdSRiOqUlYkST3Ur+8Qx5HCCtGGIiIioUVIoFOjVqxdCQ0M169RqNUJDQ+Ht7V3hNnl5eZDLtcs0Ov+7MYAQQmt9cHAwrKys8OSTT9Zy8vrFohQREVXq/I1sTN9wDEUlajzWyRr/N6JLo51Ekag67k54/tupZKRlF0gbhoiIiBqlOXPm4LvvvsP69esRGxuLl156Cbm5uQgMDAQATJ48GfPnz9e0Hz58OL7++mts2bIF8fHx+PPPP7Fw4UIMHz5cU5wCyopbwcHB8Pf3h66ubr2fV21q3OmJiKjOXLudB/+gSNwpKIGnqiU+G9cTOnIWpKh56GZvjl5OLRCdeBubjiZhztAOUkciIiKiRmbMmDFIT0/HokWLcOPGDfTo0QP79u3TTH6elJSkNTJqwYIFkMlkWLBgAa5fvw5LS0sMHz4cH3zwgdZ+Dxw4gKSkJEyZMqVez6cuyMT9Y8AI2dnZMDMzQ1ZWFkxNeatzImp+buUW4fm1h3ElPRcu1ibY9oI3zAz1pI5FVK9+jUnGKz+egIWxAuHzBkFfV+fhG1HzlJsLGBuXPc7JAYyMpM1D1BCxnxA1K1Wtq/DyPSIi0pJXVIIpIVG4kp4LWzMlQqZ4sCBFzdKwLjawMVXiZk4RfotJkToOERERUZPDohQREWkUl6ox84fjOHk1E+aGetgw1ROtzQykjkUkCT0dOSZ5l91pMvhwfLkJRomIiIjo0bAoRUREAMru6DFvx2n8HZcOpZ4c3/t7oJ2VidSxiCQ1ztMR+rpynLmejejE21LHoYZKRwd44omyRYeXeRJViP2EiCrAic6JiAgAsHJ/HHYcvwYduQxfjndDL6cWUkciklxLIwVG9LDD1mNXERyeAHdVS6kjUUOkVAJ79kidgqhhYz8hogpwpBQRESE4PB5fh10GACx/risGu1pLnIio4QjwVQEA9p29geTMfGnDEBERETUhLEoRETVzv8Yk473fzgEA3vRzwWh3B4kTETUsrq1N0btNS5SqBTYeSZQ6DhEREVGTwaIUEVEzFn7pJuZsOwkhAH9vJ7w8oK3UkYgapEBfZwDAj5FJyC8qlTgNNTi5uWW3tzcyKntMROWxnxBRBViUIiJqps5cz8ILG6NRXCrwZNfWWDS8M2QymdSxiBqkIa7WsG9hgMy8Yuw6eV3qONQQ5eWVLURUOfYTIroPi1JERM1QUkYeAoKjkFNYAu82rbB6THfoyFmQIqqMjlwGf28VACAkPAFCCGkDERERUZNTqhaIuJyBX05eR8TlDJSqm/7/G7z7HhFRM3MzpxCTg47iZk4hXFub4pvJvaCvy1szEz3MaA8HfHLgAuJS7yDicgZ82llIHYmIiIiaiH1nUrD013NIySrQrGttpsTi4Z0wrEtrCZPVLY6UIiJqRnIKSxAYHIWEjDzYtzDA+kAPmCr1pI5F1CiYGehhpJs9ACAoPEHaMERERNRk7DuTgpc2HdcqSAHAjawCvLTpOPadSZEoWd1jUYqIqJkoKlHjpU3ROH09Cy2NFNgwxRNWpkqpYxE1Kv4+KgBA6PlUJGZwol4iIiJ6NKVqgaW/nkNFF+rdXbf013NN9lI+FqWIiJoBtVrgzZ9icPDiTRgqdBAc4IE2lsZSxyJqdNpZGaNfB0sIAWyISJQ6DhERETVykfG3yo2QupcAkJJVgMj4W/UXqh6xKEVE1Aws2xuLX04mQ1cuw9cTe6G7g7nUkYgarUBfFQBgW9RV5BSWSBuGGga5HOjfv2yR899rogqxnxBpKSlV4/fTKXj359NVap92p/LCVWPGic6JiJq4b/+9jHWH4gEAH43qhv4dLCVORNS49W9viTYWRrhyMxc7oq9pLumjZszAAAgLkzoFUcPGfkIEAMjKK8aWqCRsiEjE9cz8Km9nZdI0p91giZqIqAnbefwalu09DwB454mOeLanvcSJiBo/uVymKUStP5wAdROd44GIiIhqz+X0HCzcdQa9l4di+e/ncT0zHy2NFJg5sC2sTPQhq2Q7Gcruwufp3LI+49YbjpQiImqiwuLS8NZPpwAA0/o4Y0a/thInImo6Rvayx6r9cbhyMxf/XEzHQBcrqSMRERFRAyOEwL8XbyI4PB5hcema9R1tTDDF1xlP97CFUk8HXe3M8NKm45ABWhOe3y1ULR7eCTryyspWjRuLUkRETVDM1Uy8/MNxlKgFRvSwxTtPuEodiahJMdbXxWgPB3x/KB7B4QksSjV3ubmASlX2OCEBMDKSMg1Rw8R+Qs1IXlEJdh6/jpDDCbiUlgMAkMmAwR2tMcVXBe+2rSCT/VdkGtalNb6e6Ialv57TmvTcxkyJxcM7YViX1vV+DvWFRSkioibmSnoOAkOikFdUir7tLbDy+e6QN9FPVoik5O+tQlB4PP69kI5LaTloZ8U7WjZrN29KnYCo4WM/oSbuemY+NkQkYEvkVWTlFwMo+yBrlLs9AnxUcGpVeTF2WJfWGNrJBpHxt5B2pwBWJmWX7DXVEVJ3sShFRNSEpGUXYHJQJG7lFqGrnRm+ntgLCl1OH0hUFxxbGWJwR2sciE3F+sMJeH9EF6kjERERUT0TQuB40m0EHUrAvrM3UPq/uSYdWxoiwEeFUe72MFHqVWlfOnIZvNu2qsu4DQ6LUkRETUR2QTH8g6Nw7XY+VK0MERzoAWN9/ponqktTfFU4EJuKHcevYa6fC8wMqvZPJxERETVuRSVq7D2dgqDweJy6lqVZ792mFab0ccagjlZNfpRTbeC7FSKiJqCwpBQzNhxDbEo2LIz1sWGKFyyM9aWORdTkebdtBRdrE8Sl3sH2Y1cxrW8bqSMRERFRHcrIKcTmo0nYeCQRaXcKAQAKXTlG9LBFoK8zXFubSpywcWFRioiokStVC8zZGoMjV27BWF8XIYEecGxlKHUsomZBJpMhwFeF+TtPI+RwAgJ9nfmpKBERURMUm5KN4PB47DqZjKISNQDAykQfk3o7YbyXI1rxA+EaYVGKiKgRE0LgvV/PYs/pFOjpyPDtpF7oYmcmdSyiZmVEDzt8uO88rt3Ox4HYVPh1tpE6EhEREdWCUrXAX+fTEHQoHhFXMjTru9mbYYqvM57o2prztz4iFqWIiBqxr8IuY31EImQyYPXoHvBpZyF1JKJmx0Chg7Eejlj7z2WEhCewKNUcyeWAu/t/j4moPPYTakTuFBRj+7FrCDmcgKRbeQDKJiEf1sUGU3xVcHNsAZmMI6NrA4tSRESN1Laoq/hofxwAYNFTnTC8u63EiYiar8neTvju4BVEXMlAbEo255NobgwMgKgoqVMQNWzsJ9QIJGbkIuRwArYfu4acwhIAgJmBHsZ5OmKStxPszA0kTtj0sChFRNQIhcamYv7PpwEALw1oi0BfZ4kTETVvtuYGGNbZBntOpyAkPAEfPt9N6khERERUBUIIRFzOQFB4AkLPp0KIsvXtrIwR6KvCsz3tYKhg6aSu8JUlImpkohNvY+bm4yhVCzzfyx5v+blIHYmIAAT4qrDndAp2nbyOtx/viJZGCqkjERERUSUKikux+2QygsLjcf7GHc36AS6WmOLrjL7tLXiJXj1gUYqIqBG5lHYHU9dHoaBYjYEullj+XFf+sSRqINydWqCLnSnOXM/Gj5FJmDmwndSRqL7k5QGdOpU9PncOMOQdUInKYT+hBiI1uwCbjiTih6NJuJVbBAAw0NPB873s4e+jQjsrY4kTNi8sShERNRIpWfmY/H0kMvOK0cPBHF9OcIOeDicKJWooZDIZAn2c8cb2GGyMSMSMfm3YR5sLIYDExP8eE1F57CcksZirmQgOj8dvp1JQoi77GbQzN4C/jxPGuDvCzFBP4oTNE4tSRESNQFZeMfyDIpGcVYA2lkYICvDgte1EDdBT3Vtj+e+xuJFdgH1nbvAGBERERBIqKVVj39kbCA5PQHTibc16D1ULTPF1xtBO1tDlB0iS4jsaIqIGrqC4FNM2ROFCag6sTfWxYYon56ohaqD0dXUw3ssJn4VeRMjhBBaliIiIJJCZV4QfI69iY0QCkrMKAAB6OjIM72aLQF9ndLU3kzgh3cWiFBFRA1ZSqsarP55AVMJtmCh1sX6KJ+xbcA4GooZsYm9HfB12CdGJt3HqWia62ZtLHYmIiKhZuJR2B0HhCdh5/BoKitUAgFZGCkzo7YSJvR1hZaKUOCHdj0UpIqIGSgiBhb+cxR/nUqHQlWPdZHd0tDGVOhYRPYSViRJPdbPFzyeuIzg8AZ+M6SF1JCIioiZLrRb452I6gsMT8O+FdM36Tq1NEeirwvDutlDq6UiYkB6ERSkiogZqzYGL+DEyCXIZ8NnYHvBq00rqSERURQE+Kvx84jp+O5WM+U905CezREREtSy3sAQ7j19D8OEEXEnPBQDIZMBQV2tM6eMML+eWvEt1I1CjolRJSQnCwsJw+fJljB8/HiYmJkhOToapqSmMjXn7RCKiR7XpSCI+Db0IAHjvmS4Y1qW1xImIqDq6O5jDzdEcx5My8cORJMwe2kHqSFSXZLL/bnXPN0BEFWM/oVpy7XYeNkQk4sfIJNwpKAEAmOjrYrSHA/y9VXBsxakuGpNqF6USExMxbNgwJCUlobCwEEOHDoWJiQk+/PBDFBYWYu3atXWRk4io2dh35gYW/XIGAPDq4PaY2NtJ4kREVBOBvs44nnQCPxxNxMsD20Jfl5cONFmGhsDZs1KnIGrY2E/oEQghcCzxNoIOxWP/2RtQi7L1qlaGCPBR4Xl3Bxjr80Kwxqja37XXXnsN7u7uiImJQatW/11K8uyzz2L69Om1Go6IqLk5eiUDr245AbUAxnk6YvaQ9lJHIqIaGtbFBjamStzILsCeUyl4zs1e6khERESNSmFJKX6LSUHw4XicuZ6tWd+nnQUCfVUY6GIFuZwj7xqzahelDh48iMOHD0Oh0L4duUqlwvXr12stGBFRc3P+RjambTiGohI1hnayxvvPdOZ18ESNmJ6OHJO8nfDR/jgEhyfg2Z527NNERERVcDOnED8cScLGI4m4mVMIANDXleM5NzsE+DjDxcZE4oRUW+TV3UCtVqO0tLTc+mvXrsHEpPo/GF9++SVUKhWUSiW8vLwQGRn5wPZr1qyBi4sLDAwM4ODggNmzZ6OgoECrzfXr1zFx4kS0atUKBgYG6Nq1K44dO1btbERE9eXa7Tz4B0XiTkEJPFQt8Pm4ntDVqfavaCJqYMZ5OkKhK8fp61mITrwtdRyqK3l5QOfOZUtentRpiBom9hOqgrPJWZi7PQY+y//CJwcu4GZOIaxN9fGmnwsi5g/G8ue6sSDVxFR7pNRjjz2GNWvW4NtvvwUAyGQy5OTkYPHixXjiiSeqta+tW7dizpw5WLt2Lby8vLBmzRr4+fkhLi4OVlZW5dpv3rwZ8+bNQ1BQEHx8fHDhwgUEBARAJpNh9erVAIDbt2/D19cXAwcOxO+//w5LS0tcvHgRLVq0qO6pEhHVi9u5RZgcFInU7EJ0sDbGuskevG0tURPR0kiBET1sse1Y2d2B3FUtpY5EdUEI4Ny5/x4TUXnsJ1SJUrXAgdhUBB2Kx9H4W5r1PRzMMaWPMx7vYgM9fljbZMmEqN5vhKtXr2LYsGEQQuDixYtwd3fHxYsXYWFhgX///bfCYlJlvLy84OHhgS+++AJA2SgsBwcHvPLKK5g3b1659rNmzUJsbCxCQ0M169544w0cPXoUhw4dAgDMmzcP4eHhOHjwYHVOS0t2djbMzMyQlZUFU1PTGu+HiOhh8opKMGHdUZxIyoStmRI7XvZBazMDqWMRUS2KTcnG458ehI5choNvDYStOft4k5ObC9y9A3VODmBkJG0eooaI/YTuk11QjG1RV7E+IgFXb+UDAHTlMjzetTUCfVVwc+TAksasqnWVao+UcnBwQExMDLZu3YqYmBjk5ORg6tSpmDBhAgwMqv5PVlFREaKjozF//nzNOrlcjiFDhiAiIqLCbXx8fLBp0yZERkbC09MTV65cwd69ezFp0iRNm927d8PPzw+jRo3CP//8Azs7O7z88ssPnIS9sLAQhYWFmq+zs7MrbUtEVFuKS9WYtfkETiRlwsxADxumerIgRdQEubY2Re82LXHkyi1sPJKIt4d1lDoSERGRZOJv5iIkPB4/RV9DblHZ1EDmhnoY7+mISd5O/H+4malWUaq4uBgdO3bEb7/9hgkTJmDChAk1PvDNmzdRWloKa2trrfXW1tY4f/58hduMHz8eN2/eRJ8+fSCEQElJCV588UW88847mjZXrlzB119/jTlz5uCdd95BVFQUXn31VSgUCvj7+1e43+XLl2Pp0qU1PhciouoSQuCdnafx1/k0KPXkCApwRzsrXh9P1FQF+DjjyJVb+DEyCa8Nbs9LdImIqFkRQiD8UgaCw+PxV1ya5grO9lbGmNLHGSN62MFAwb+NzVG1ilJ6enrlJhWvT2FhYVi2bBm++uoreHl54dKlS3jttdfw/vvvY+HChQDKLgF0d3fHsmXLAAA9e/bEmTNnsHbt2kqLUvPnz8ecOXM0X2dnZ8PBwaHuT4iImq2P9sdhe/Q16Mhl+GKcG3o5cZ4ZoqZsaCdr2LcwwLXb+dh14jrGejpKHYmIiKjOFRSX4ucT1xEcHo8LqTma9YM6WmGKrzN827XinWmbuWpfvjdz5kx8+OGHWLduHXR1q725hoWFBXR0dJCamqq1PjU1FTY2NhVus3DhQkyaNAnTpk0DAHTt2hW5ubmYMWMG3n33XcjlcrRu3RqdOnXS2s7V1RU7duyoNIu+vj709fVrfC5ERNUREh6Pr8IuAwCWPdsFQzpZP2QLImrsdOQy+Hur8MHeWASHJ2CMhwP/CScioibrRlYBNkQk4MfIJNzOKwYAGCp0MKqXPfx9VGhjaSxxQmooql1VioqKQmhoKP744w907doVRvdNULdz584q7UehUKBXr14IDQ3FiBEjAJSNcgoNDcWsWbMq3CYvLw9yufas+zo6ZUP87s7X7uvri7i4OK02Fy5cgJOTU5VyERHVpd9OJWPpb2V3npn7WAeM8eBoCaLmYrSHA1b/eQFxqXcQcSUDPm0tpI5EtUUmA+7+r8liI1HF2E+ahRNJtxEUnoDfT6egRF32Ht2+hQECfFQY5e4AMwM9iRNSQ1PtopS5uTlGjhxZKwefM2cO/P394e7uDk9PT6xZswa5ubkIDAwEAEyePBl2dnZYvnw5AGD48OFYvXo1evbsqbl8b+HChRg+fLimODV79mz4+Phg2bJlGD16NCIjI/Htt9/i22+/rZXMREQ1dfjSTczZGgMhgMneTpg5sJ3UkYioHpkZ6GFkLztsOpKE4PAEFqWaEkNDICFB6hREDRv7SZNVXKrG72duIOhQPE5ezdSs93JuiUBfZwztZA0dOQuRVLFqF6WCg4Nr7eBjxoxBeno6Fi1ahBs3bqBHjx7Yt2+fZvLzpKQkrZFRCxYsgEwmw4IFC3D9+nVYWlpi+PDh+OCDDzRtPDw88PPPP2P+/Pl477334OzsjDVr1jzSpOxERI/qzPUszNgYjaJSNZ7oaoPFwzvz0h2iZijAxxmbjiThQGwqkjLy4NjKUOpIRERENXI7twibI5OwMSIRN7LL5p5W6MgxvLstAn1V6GJnJnFCagxk4u51b9WUnp6uuUzOxcUFlpaWtRpMStnZ2TAzM0NWVhZMTU2ljkNEjVxSRh6e+/owbuYUoneblggJ9OSdt4iasclBkfj3Qjqm9nHGwqc6PXwDIiKiBuRC6h0Eh8dj5/HrKCxRAwAsjPUxqbcTxns5wtKE8zVT1esq1R4plZubi1deeQUbNmyAWl32A6ijo4PJkyfj888/h6EhP/EjIrrrZk4hJgcdxc2cQri2NsW3k91ZkCJq5gJ9VPj3Qjq2RV3FnKEdYKRf8xvHUAORnw/061f2+N9/AQMDafMQNUTsJ42aWi0QdiENQYcScOjSTc36zrammNrHGU92aw19Xf6PS9VX7f+C5syZg3/++Qe//vorfH19AQCHDh3Cq6++ijfeeANff/11rYckImqMcgtLMCUkCgkZebBvYYD1gR4wVXJyR6Lmrn8HS7SxMMKVm7nYcfwaJnurpI5Ej0qtBo4d++8xEZXHftIo5RSWYEf0NYQcTkD8zVwAgFwG+HW2QaCvMzxULTglBT2SahelduzYgZ9++gkDBgzQrHviiSdgYGCA0aNHsyhFRASgqESNFzdF49S1LLQ0UmDDFE9YmSqljkVEDYBcLoO/jwqLd59FSHgCJno5Qc4JYImIqAG5eisP6w8nYGvUVdwpLAEAmCh1Mc7TEZN6O8GhJa+QotpR7aJUXl6eZiLye1lZWSEvL69WQhERNWZqtcBbP8Xg4MWbMNDTQVCAB9pYGksdi4gakJG97LFqfxyu3MzFvxfTMcDFSupIRETUzAkhcDT+FoLD4/HnuVSo/zf7dBsLIwT6qvCcmz0vOadaJ394E23e3t5YvHgxCgoKNOvy8/OxdOlSeHt712o4IqKa+PLLL6FSqaBUKuHl5YXIyMgHtl+zZg1cXFxgYGAABwcHzJ49W+t33JIlSyCTybSWjh07Vrq/5b/HYtfJZOjKZfh6oht6OJjX1qkRURNhrK+LUe4OAIDg8ARpwxARUbNWUFyK7ceu4snPDmHst0ew/2xZQapvewsEB3rgwJz+mOStYkGK6kS1f6o+/fRT+Pn5wd7eHt27dwcAxMTEQKlUYv/+/bUekIioOrZu3Yo5c+Zg7dq18PLywpo1a+Dn54e4uDhYWZUfibB582bMmzcPQUFB8PHxwYULFxAQEACZTIbVq1dr2nXu3BkHDhzQfK2rW/Gvz+/+vYLvDsYDAFY+342jH4ioUv4+Tgg+HI9/LqTjUloO2llxRCUREdWftDsF+OFIEn44moibOUUAAKWeHM+52SPQR4X21iYSJ6TmoNpFqS5duuDixYv44YcfcP78eQDAuHHjMGHCBBjwDgpEJLHVq1dj+vTpCAwMBACsXbsWe/bsQVBQEObNm1eu/eHDh+Hr64vx48cDAFQqFcaNG4ejR49qtdPV1YWNjc0Dj/3ziWv4YG8sAGD+4x3xnJt9bZwSETVRTq2MMLijFQ7EpmFDRALee6aL1JGIiKgZOHM9C0Hh8fg1JhnFpWXX6LU2U2KytwrjPB1gbqiQOCE1JzUaf2doaIjp06fXdhYiokdSVFSE6OhozJ8/X7NOLpdjyJAhiIiIqHAbHx8fbNq0CZGRkfD09MSVK1ewd+9eTJo0SavdxYsXYWtrC6VSCW9vbyxfvhyOjo6a5/+5kI43t58CAEzt44wZ/drUwRkSUVMT6OuMA7Fp+Cn6Gt54zAVmBrxDZ6NlYSF1AqKGj/1EMiWlavx5LhVB4fGISritWd/LqQUCfVXw62wDPZ1qz+5D9MiqXZRavnw5rK2tMWXKFK31QUFBSE9Px9tvv11r4YiIquPmzZsoLS0tdzMGa2trzcjO+40fPx43b95Enz59IIRASUkJXnzxRbzzzjuaNl5eXggJCYGLiwtSUlKwdOlS9O3bF2fOnIGJiQlirmbipU3RKFELPNPDFu8+4cpb4xJRlfi0bYUO1sa4kJqD7ceuYlpfFrQbJSMjID1d6hREDRv7iSSy8ouxNSoJ6w8n4npmPgBAVy7Dk91aI9DXmXOfkuSqXQr95ptvKpzgt3Pnzli7dm2thCIiqi9hYWFYtmwZvvrqKxw/fhw7d+7Enj178P7772vaPP744xg1ahS6desGPz8/7N27F5mZmdi2bRvib+YiMCQKeUWl6NveAh893523dieiKpPJZAjwcQYArI9IQOndWx0RERE9gsvpOVi46wy8l4di2d7zuJ6Zj5ZGCswa2A7h8wbh07E9WZCiBqHaI6Vu3LiB1q1bl1tvaWmJlJSUWglFRFQTFhYW0NHRQWpqqtb61NTUSueDWrhwISZNmoRp06YBALp27Yrc3FzMmDED7777LuTy8rV7c3NzdOjQATHnziMk4yhu5Rahq50Zvp7YCwpdDnsmoup5tqcdVu4/j6u38hEam4rHOj94/joiIqKKCCFw8OJNBIXHIyzuv1FpHW1MEOirwjM97KDU05EwIVF51X735ODggPDw8HLrw8PDYWtrWyuhiIhqQqFQoFevXggNDdWsU6vVCA0Nhbe3d4Xb5OXllSs86eiU/bEWouIRCzk5Obh0+TIOxBfh6q18OLUyRHCgB4x5m1wiqgEDhQ7GepTNURccniBtGKqZ/HxgwICyJT9f6jREDRP7SZ3JLyrFD0cTMfSTfzE5KBJhcemQyYAhrtbYPM0Lv7/WF2M8HFmQogap2u+gpk+fjtdffx3FxcUYNGgQACA0NBRvvfUW3njjjVoPSERUHXPmzIG/vz/c3d3h6emJNWvWIDc3V3M3vsmTJ8POzg7Lly8HAAwfPhyrV69Gz5494eXlhUuXLmHhwoUYPny4pjg1d+5cDB8+HE5OTkhOTsbCRYuQXyxwx94L1sYKbJjiCQtjfcnOmYgav0neTvju4BVEXMnA+RvZ6GhjKnUkqg61Gvjnn/8eE1F57Ce1LjkzHxsiEvFjZBKy8osBAMb6uhjlbg9/bxVUFkYSJyR6uGoXpd58801kZGTg5ZdfRlFREQBAqVTi7bff1rrjFRGRFMaMGYP09HQsWrQIN27cQI8ePbBv3z7N5OdJSUlaI6MWLFgAmUyGBQsW4Pr167C0tMTw4cPxwQcfaNpcu3YN48aNQ0ZGBiwtLWHg0Bmtxn8EU/OWCAn0hFMr/sEnokdjZ24Av87W2Hv6BkLCE7BiZDepIxERUQMkhMDxpEwEhcdj35kbmrkIHVsaIsBHhVHu9jBR8k6u1HjIRGXXpzxETk4OYmNjYWBggPbt20Nfv+mMEsjOzoaZmRmysrJgaspPKomojBACS389h5DDCdDTkSE4wBN92vPWxkRUO6ISbmHU2gjo68oRMX8wWhoppI5EVZWbCxgblz3OySm7yxgRaWM/eSRFJWr8fiYFQYfiEXMtS7Peu00rBPqqMNjVGjq82Q41IFWtq9R4AhRjY2N4eHggMTERly9fRseOHSucEJiIqKn4KuwyQg4nAAA+Ht2DBSkiqlXuTi3Qxc4UZ65nY0tUEl4e0E7qSEREJLGMnEL8GJmEDRGJSLtTCABQ6MoxooctAn2d4dqagyiocatyUSooKAiZmZmYM2eOZt2MGTPw/fffAwBcXFywf/9+ODg41H5KIiKJbTt2FR/tjwMALHqqE57uzhs7EFHtkslkCPBxxtztMdgYkYjpfdtAT4cf+BERNUfnb2Qj+FACfj55HUUlZXNwWZroY3JvJ4z3ckQrzmdKTUSV/9P59ttv0aJFC83X+/btQ3BwMDZs2ICoqCiYm5tj6dKldRKSiEhKobGpmL/zNADgxf5tMaWPs8SJiKipGt69NSyMFUjJKsD+szekjkNERPWoVC3w57lUjP/uCIatOYitx66iqESNbvZmWDOmB8LfHoRXBrdnQYqalCqPlLp48SLc3d01X//yyy945plnMGHCBADAsmXLNHe3IiJqKqITb2Pm5uMoVQuMdLPH28NcpI5ERE2Yvq4Oxns54bPQiwgOT8BT3Tgqs9EwNJQ6AVHDx35SoTsFxdh+7BrWRyQgMSMPAKAjl2FYZxtM6aOCm2MLyGScL4qapioXpfLz87Umpzp8+DCmTp2q+bpNmza4cYOf6BFR03Ep7Q6mro9CQbEaA10ssWJkV/5DQER1bqKXI74Ou4ToxNs4dS0T3ezNpY5ED2NkVDaJMxFVjv2knMSMXIQcTsD2Y9eQU1gCADAz0MNYTwdM9lbBztxA4oREda/KRSknJydER0fDyckJN2/exNmzZ+Hr66t5/saNGzAzM6uTkERE9e1GVgEmfx+JzLxi9HAwx5cT3Di3CxHVCytTJZ7s2hq7TiYjJDwBq8f0kDoSERHVEiEEIq5kIDg8AQdiUyFE2fq2lkYI9HXGc252MFTU+H5kRI1OlX/a/f39MXPmTJw9exZ//fUXOnbsiF69emmeP3z4MLp06VInIYmI6lNWXjH8gyKRnFWANpZGCArw4D8HRFSvAn2dsetkMn49lYx5T3SElYlS6khERPQICopLsftkMoLC43H+xh3N+gEulgj0dUbfdhaQyzkin5qfKr/Leuutt5CXl4edO3fCxsYG27dv13o+PDwc48aNq/WARET1qaC4FNM3HENc6h1YmehjwxRPtDRSSB2LiJqZ7g7m6OlojhNJmdh8NAmvD+kgdSR6kIICYOTIssc7dgBKFhGJymmm/SQ1uwCbjiRi89EkZOQWAQAM9HQwspcdAnyc0c7KWOKERNKSCXF3wCDdlZ2dDTMzM2RlZWnNo0VETUupWiAy/hbS7hTAykSJXk4t8MqPx7H/bCpMlLrY9oI3XFvzdwARSWN3TDJe/fEELIz1ET5vIPR1daSORJXJzQWM//fGMienbO4cItLWzPrJqWuZCDoUjz2nU1BcWvaW287cAJO9nTDWwxFmhnoSJySqW1Wtq/B6FCJqlvadScHSX88hJatAs85QoYO8olIodOX4brI7C1JEJKnHu9jA2lQfqdmF2HMqBc+52UsdiYiIHqCkVI39Z1MRFB6P6MTbmvUeqhYI9HXGY52socs5Som0sChFRM3OvjMpeGnTcdw/TDSvqBQAEODthN5tWtV/MCKie+jpyDGptxNW/XEBweEJeLanHe8ASkTUAGXmFWFL1FVsOJyA5P994KmnI8PwbrYI9HVGV3veEIyoMixKEVGzUqoWWPrruXIFqXv9eioFbz/uCh1ONklEEhvn6YjP/rqE09ezcDzpNno5tZQ6EhER/c+ltDsIDk/AzuPXkV9c9uFmKyMFJvR2wkQvR1iZNo95s4geBccOElGzEhl/S+uSvYqkZBUgMv5WPSUiIqpcK2N9jOhhCwAICk+QNgwR0X2+/PJLqFQqKJVKeHl5ITIy8oHt1wBwAWBgYQEHBwfMnj0bBQX//V+2ZMkSyGQyraVjx451eg7VpVYL/B2XhslBkRiy+l/8cDQJ+cWlcG1tio+e74bweYMwZ2gHFqSIqqjaI6X+/vtvDBw4sC6yEBHVubQ7Dy5IVbcdEVFdC/BxxrZj17DvzA2kZOWjtZmB1JGIiLB161bMmTMHa9euhZeXF9asWQM/Pz/ExcXBysqqXPvN27ZhHoAgAD7R0bhw7RoCAgIgk8mwevVqTbvOnTvjwIEDmq91dRvGxT15RSXYcfw6gsPjcSU9FwAgkwFDXa0xpY8zvJxb8hJrohqodg8fNmwY7O3tERgYCH9/fzg4ONRFLiKiOmFprF+ldlYm/HSLiBqGTram8HJuiaPxt7AxIhFvDWtYowaIqHlavXo1pk+fjsDAQADA2rVrsWfP/7N339FRVXsbx78zk14pCaEFEkA6oYYIiFhABEUQsQDSxIKCDbGgIHIt2C5iQ3hVQlEE4YKoNBFp0kLvnYRQQhJaQnoyc94/otFIkARITsrzWeusNXPmlGdI9mHym733WciUKVN45ZVXLtl+3YYNtAP6ANSsSVDDhvTu3ZuNGzfm2s7JyYnKlSsX/hvIpxPnU5ix/hjfRUSTmJYFgLerEw+EBjKgTRA1KnqYnFCkZCvw8L2TJ08ybNgw5s6dS61atejcuTPff/89GRkZhZFPROS6iT6bwifLD/3rNhagiq8brYM1b4uIFB+D2gUD8F1ENGl/zFsixYinJxhG9lLKb3MvApCRkcGWLVvo2LFjzjqr1UrHjh1Zv359nvu07dCBLb6+RGzcCJ6eHD16lEWLFtG1a9dc2x06dIiqVatSq1Yt+vbtS3R0dKG+l7wYhsGmqHM89e0Wbn5/BZNXHyUxLYugih680a0h61+9ndF3N1RBSuQ6KHBPKT8/P55//nmef/55tm7dSnh4OE899RRPPfUUffr0YfDgwTRt2rQwsoqIXBW7w2Dauig+WHqA1Ew7LjYrGXYHFsg14fmfHa7HdGuoSc5FpFjp1DCAauXcOXkhlQXbT/JgaA2zI4lIGXbmzBnsdjsBAQG51gcEBLB///489+nTpw9nzpzhpptuwjAMsrKyGDJkCK+++mrONmFhYUydOpV69eoRExPD2LFjad++Pbt378bb27tQ3xNARpaDn3eeInxtFLtOJuSsb1enIo+0C+bWepWw6jOiyHV1TQN0W7RoQeXKlalYsSLvvvsuU6ZMYeLEibRp04ZJkybRqFGj65VTROSqHI5L4uX/7WTLsfMAtKlVkffuC2FvTAJjf9qba9Lzyr5ujOnWkDsbVzErrohInmxWCwPa1uSdRfsJXxvFA60CNXeJiJQoK1eu5J133mHixImEhYVx+PBhnn32Wd58801Gjx4NQJcuXXK2DwkJISwsjJo1a/L9998zePDgQst2JimdbzdE883GY8RfTAfA1cnKvc2rMbBdEPUr+xTauUXKuqsqSmVmZrJgwQKmTJnCsmXLaNWqFZ999hm9e/cmPj6eUaNGcf/997N3797rnVdEJF+y7A6+XBPJR78eJCPLgZerEyO71qd3aA2sVgs1KnrQqWFlIiLPEXcxjUre2UP21ENKRIqrB1vV4KNlh9h/+iLrj56lbW0/syPJn9LSoF+/7MczZoCb5iWU0s3Pzw+bzUZsbGyu9bGxsZedD2r0a6/Rz9eXR5cuhYcfpkmTJiQnJ/P444/z2muvYbVeOrNMuXLlqFu3LocPHy6U97HnVALha6P4cfspMuwOAAJ8XOnfJojerWtQwdOlUM4rIn8pcFHq6aef5rvvvsMwDPr168f7779P48aNc1739PTkww8/pGrVqtc1qIhIfu0/nciLc3bmdLvuUNefd3o2oVq53HesslkttKld0YyIIiIF5uvhzH0tq/HNhmimro1SUao4sdth7tzsx1OnmhpFpCi4uLjQsmVLli9fTo8ePQBwOBwsX76cYcOG5blPSkoK1oMH4eDBnHZis9mA7Dmc8pKUlMSRI0fo92fR9zqwOwx+3RdL+NpINhw9l7O+aWA5HmkXRNcmVXC2FXjqZRG5SgUuSu3du5dPP/2Unj174uqa912s/Pz8WLFixTWHExEpiIwsBxNXHubzFYfJtBv4uDnxerdG3Neimoa5iEipMLBtEN9siGbZvliOn0shsIIm2RURcwwfPpwBAwbQqlUrWrduzYQJE0hOTs65G1///v2pVq0a48aNA6Bbly6M376d5kBYVBSHT51i9OjRdOvWLac4NWLECLp160bNmjU5deoUY8aMwWaz0bt372vOm5iWyfebjjNtfRTHz6UC2V9Qdm1ShUHtgmhRo/w1n0NECq7ARakxY8bQtm1bnJxy75qVlcW6deu4+eabcXJyokOHDtctpIjIlew6kcCLc3ew//RFIHtS4Ld7NKaSj4ZQiEjpUaeSN+1v8GPNoTNMWxfFqLsbmh1JRMqoBx98kPj4eF5//XVOnz5Ns2bNWLJkSc7k59HR0bmG5I16+WUs48YxCjjZqhX+/v5069aNt99+O2ebEydO0Lt3b86ePYu/vz833XQTGzZswN/f/6pzRp5JZtq6KOZsPk5yRvbdS8t5ONOndQ36talJFV/3KxxBRAqTxbhcX8nLsNlsxMTEUKlSpVzrz549S6VKlbDbS/5tihMTE/H19eVU/Cl8fPI/qZ2rkytO1uxiXZYji/SsdKwWK+7Of13okjOSC5zHxeaCs80ZALvDTlpWGhaLBQ/nv74dTclMuWy318txtjnjYsseJ+0wHKRmZn9j4Ony162MUzNTcRiOAh3XyeqEq1N2LzrDMEjJTLnkuGlZadgdBftdsVltuDn9VWD489/Sw9kjpxdMelY6WY6sAh33cj8jd2d3rJbs/0gz7Blk2jMLdNzL/YzcnNywWbO/Dcq0Z5JhzyjQcSHvn1Fev3/Xctw/f0Z5/f4VVF4/o8v9/hWEu7M7GVkGHy8/xOTVB8hyZFHBw403uzfn7pDsycr//P0riLx+Rpf7/SsIXSOy6RqRTdeIvxTmNeKfP6PL/f4VhNnXiFUH4xjyzVa83ZxY8cIteLr++3eMukZkK9RrRIYDvLyyj3suFjw9dY3QNQLQ54hcP6MLZyAgAM9MICkJPD0L7RqRmpnK2iNxTF93jFWH4vkzeh1/Tx6+MYh7mlbF3cWW67j6HPEXXSOy6RqR7WqvEYmJiVT1r0pCQsK/1lUK3FPKMIw8h8GcPXsWT0/PPPYouar+tyoUoJPF972+5/5G9wMwf998Hpj7AB1qdmDlwJU52wR9HMSZlDMFyvFZl88Y2nooAGui13DrtFtp6N+QPU/tydkm9MtQ9sYXbGL5MR3G8MYtbwCwL34fjb9ojJ+HH/Evxuds0+XbLqw6tqpAx32q1VN8ftfnAJxJOUOlD7MLmMaYv35J+83vx9y9cwt03F4NezHn/jk5z73GZX/4ixsRh79n9rcnw5cOZ+LmiQU67uV+Rruf3E2jStl3kHxnzTuMXTW2QMe93M9oxYAV3BJ0CwD/t+X/GLY473H3l3O5n1Fev38FldfPKK/fv4LK62eU1+9fQc3uvpZJyzM4Gp/MBafZJLh+R6eQJ+jW9C4A4pPjc37/CiKvn9Hlfv8KQteIbLpGZNM14i+FdY3I62d0ud+/gigW14g/Pl8GjL/ycXWNyFao14j7F+Y8D/qyIWdSz+oaoWsEoM8Rl1wjnoP4D/7a5npfI9Iy7fyw7STPLetPbNYfx/3b33PHk2DFr8Cvlx5XnyOy6RrxF10jsl31NSKf9cV8F6V69uwJZFdkBw4cmGs+Kbvdzs6dO2nbtm1+Dycics2e/347zo6a+Hu7ctMNVfl2H7g52668o4iIiIiUKh8s3c/MjdGcT8nkoksW6COhSImQ7+F7f05YN23aNB544AHc3f/qAubi4kJQUBCPPfYYfn4l/04wGr5XBrvdq0vtJcctrl1qN0Se4fUf9nD8fCoWXLi/ZQ1G39UQd1dDXWrRNULXiGxl+Rrxd6W5231Seha3friSpPQsJvdrwc03XP6bWl0jsmn43l90jchWmq8RBVGSh+9tPXaOL3/fz9I9p3E4stdVL+9O37AqdG9eBV9353wfV58j/qJrRDZdI7IV9vC9As8pNXbsWEaMGFHqhur93Z9FqSv944lI0bmYlsm7i/fz7cZoAKr6uvFOzybcUq/gXWZFREqDsT/tIXxtFLfU82fqoNZmxynbDANS/vjDxMMDdMdXkUtdp3aSaXewZPdppqyNZFv0hZz1rYMr8Ei7YDo1DMBmVRsUMVt+6yoFLkqVBSpKiRQvKw/E8eq8XZxKyP7mpG9YDV7pUh9vt/x/+yUiUtocO5vMLR+uxDBg+QsdqO1f8PknRERKivPJGXy3KZrp645xOjH7M6GLzUq3plUZ1C6IxtV8TU4oIn+X37pKvuaUatGiBcuXL6d8+fI0b948z4nO/7R169aCpxURyUNCSiZvLtzL3C0nAKhRwYN372tC29olf5iwiMi1qlnRk9vrV+LXfXFMWxfFf7oXfBJXEZHi7mDsRcLXRjF/2wnSMrOH+vl5ufLwjTXoG5Y9t6iIlFz5Kkp17949Z2LzHj16FGYeEREAftlzmtd+2E38xXQsFhjUNpgRnevi4VLgm4aKiJRaA9sG8+u+OOZuOcGIzvXwUQ9Sc6SnwxNPZD+ePBlc9UeyyCUK0E4cDoOVB+MIXxvFmkN/3SmsUVUfHmkXzN1Nq+DqpJnMRUqDAg3fs9vtrF27lpCQEMqVK1eIscyl4Xsi5jmblM4bP+3lpx2nAKjl78kHvUJoWbOCyclERIofwzDoPGE1B2OTGHVXAx5tX8vsSGVTcnLOROd/TuAsIv+Qj3aSnJ7F3C0nmLouisgz2RMyWy1wR8PKPHJTMKFB5f911I6IFB/Xdfjen2w2G3fccQf79u0r1UUpESl6hmHw884Yxvy4h3PJGVgt8ESH2jx7+w24OeubMBGRvFgsFga2DebV+buYtj6KQe2CNcGviBRLdofBn5/oNh49S6tGHjnXq+PnUpi2LorZm49zMS377nbebk48FBpI/zZBBFbwuMxRRaSkK/A4mMaNG3P06FGCg4MLI4+IlEFxiWmMXrCbpXtiAahf2Zv3e4UQUr2cucFEREqAe5tX470l+zl+LpXf9sfRqWGA2ZFERHJZsjuG9/63hRV/PB8Yvglf/0P0aV2DPacSWLY3Fscf43dq+XkysF0Q97Wojqerpm0QKe0K3MrfeustRowYwZtvvknLli3x/Ee3Sw13E5H8MgyDeVtP8p+f95KQmomT1cLQW+sw9NY6uDhZzY4nIlIiuLvYeKh1IJNXHSV8baSKUiJSrCzZHcOT32zFLSM91/rTCWmMX3Yw53n7G/x4pF0wHer6Y1WPT5Eyo8BFqa5duwJwzz335BrPaxgGFosFu91+/dKJSKl16kIqr87fxcoD8QA0qebL+71CaFBFhW0RkYLq3yaIL1cfZd2Rs+w/nUj9yrqWioj57A6DsT/t5d8mMfZwsTHvybbU12dAkTKpwEWpFStWXHkjEZHLMAyD7yKO886ifSSlZ+HiZOX5jnV5rH0wTjb1jhIRuRrVyrnTuVFlFu8+zbR1UYzrGWJ2JBERIiLPEZOQ9q/bpGTYOZ+SWUSJRKS4KXBRqkOHDoWRQ0TKgOizKbwybyfrjpwFoEWNcrzfqyl1KnmZnExEpOQb1C6YxbtPM2/rSV7qXJ/yni5mRxKRMi7u4r8XpAq6nYiUPlc9c1xKSgrR0dFkZGTkWh8Som/mRCQ3h8Ng2voo3l9ygNRMO27OVl7qXJ8BbYN0lygRkeskNKg8jar6sOdUIt9tiuapW+qYHans8PCAuLi/HosIAJW83XIepzq70uLpb3MeX247ESlbClyUio+PZ9CgQSxevDjP1zWnlIj83ZH4JF6eu5PNx84DcGOtCrx3Xwg1K3peYU8RESkIi8XCoHbBjJizgxnrj/F4+1oaFl1ULBbw9zc7hUixE30u+a8nFgvnPHxzvW4BKvu60Tq4QtEGE5Fio8CfVJ577jkuXLjAxo0bcXd3Z8mSJUybNo0bbriBH3/8sTAyikgJlGV38MXKI3T5eA2bj53Hy9WJt+9tzMxHb1RBSkSkkNwdUoWKni7EJKSxdE+s2XFEpAz7dW8sr87fnfP8n33j/3w+pltD9ZwXKcMK3FPqt99+Y8GCBbRq1Qqr1UrNmjXp1KkTPj4+jBs3jrvuuqswcopICbL/dCIvztnJrpMJANxc159xPZtQrZy7yclEREo3N2cbfcNq8MlvhwlfG8ldIVXMjlQ2pKfD8OHZj8ePB1fXf99epJTbFHWOoTO3YncY9GpZndvrV2LcD9t5dP7nALx126NUrOjNmG4NubOxrlMiZVmBi1LJyclUqlQJgPLlyxMfH0/dunVp0qQJW7duve4BRaTkyMhyMHHlYT5fcZhMu4GPmxOvd2vEfS2qYbHoGzARkaLw8I01mbjyCJuPnWfXiQSaVPe98k5ybbKyYOLE7Mfvv6+ilJRp+2ISeWTqJtKzHNxevxLv9myCk83KHUHe2F7vCkC9aRNp1ShQPaREpODD9+rVq8eBAwcAaNq0KZMnT+bkyZNMmjSJKlVU5RYpq3adSOCez35nwq+HyLQbdGoYwK/DO9CrZXUVpEREilAlH7ecHlLh6yJNTiMiZcnxcykMmBLBxbQsWtUsz2d9WuTMbff3AlRYrYoqSIkIcBU9pZ599lliYmIAGDNmDHfeeSfffvstLi4uTJ069XrnE5FiLi3TzifLDzF59VHsDoMKni6MvacRd4dUUTFKRMQkg9oFs2D7KX7eEcPILg3w91bPHREpXGeS0un39UbiLqZTL8CbrweE4u5iMzuWiBRzBS5KPfzwwzmPW7ZsybFjx9i/fz81atTAz8/vuoYTkeJty7HzvDR3B0fis++scndIFcbe04iKXvrjR0TETM0Cy9G8Rjm2RV/g243HeK5jXbMjiUgpdjEtk4HhEUSdTaFaOXemD26Nr4ez2bFEpAQocFHqnzw8PGjRosX1yCIiJURqhp0PfznAlLWRGAb4e7vyZvfG3Nm4stnRRETkDwPbBrEtejvfbIjmqVvq4OJU4FkbRESuKD3LzhMztrD7ZCIVPV2YMbg1AT5uZscSkRIiX0Wp4X/eTSQfxo8ff9VhRKT4W3/kLK/M28mxsykA3NeiOqPvbkA5DxeTk4mIyN91bVKFdxbtIzYxnYW7TnFv8+pmRxKRUsbuMHh+9nbWHTmLp4uNqYNaU8vfy+xYIlKC5KsotW3btnwdTPPHiJReSelZvLt4H99siAagiq8b7/Rswq31KpmcTERE8uJss9Lvxpp8+MtBwtdG0aOZ7oQqItePYRiMXrCbRbtO42Kz8mX/Vrrbp4gUWL6KUitWrCjsHCJSjK06GM+r83Zx8kIqAH3CajCyS3283TRXgIhIcda7dQ0++e0wO08ksDX6Ai1rljc7Uunk7g6RkX89FikDPvr1EDM3RmOxwISHmtG2zhXmF1Y7EZE8XPOcUiJSeiWkZPLWwr3M2XICgMAK7rzXM+TKHzpERKRYqOjlSvemVZmz5QThayNVlCosVisEBZmdQqTITFsXxSfLDwHwZvfGdG1S5co7qZ2ISB7yVZTq2bMnU6dOxcfHh549e/7rtvPmzbsuwUTEXMv2xvLa/F3EXUzHYsmeMPfFzvXwcFEtW0SkJBnYLog5W06wePdpYhJSqeKrHgoicvV+3HGKN37aA8DwTnV5+MaaJicSkZIsX39d+vr65sxB4OurccIipdm55Aze+HEPP+44BUAtP0/e7xVCq6AKJicTEZGr0aiqL62DKxAReY5vNhzjxc71zY5U+mRkwGuvZT9++21w0c0/pHRafTCeF77fjmFA/zY1efq2OvnfWe1ERPJgMQzDMDtEcZOYmIivry8JCQn4+PiYHUekSBiGwcJdMYxZsIezyRlYLfD4zbV5ruMNuDnbzI4nIiLXYMnuGIZ8s5XyHs6sH3m7ruvXW3IyeP1xx7GkJPD0NDePSCHYfvwCfb7cQEqGnbtDqvDJQ82xWgtw8wS1E5EyJb91FY3DERHiLqYx+ofdLN0TC0C9AG/e7xVC08By5gYTEZHrolPDylQr587JC6ks2H6SB0NrmB1JREqQw3FJDAqPICXDTvsb/Bj/QLOCFaRERC7DWtAdzp49y9ChQ2nYsCF+fn5UqFAh1yIiJYdhGPxvywk6jV/N0j2xOFktPHv7Dfz09E0qSImIlCI2q4UBbbPnfQlfG4U6yotIfsUkpNL/642cT8mkaXVfvni4JS5OBf4zUkQkTwXuKdWvXz8OHz7M4MGDCQgIyJlrSkRKllMXUnl1/i5WHogHoHE1H96/rykNq2rIqohIafRgqxp8tOwQ+09fZMPRc7SpXdHsSCJSzF1IyaD/1xGcSkijlr8nUwaG4uWqwTYicv0U+IqyZs0afv/9d5o2bVoYeUSkkBmGwXcRx3ln0T6S0rNwcbLyXMcbeLx9LZxs+tZLRKS08vVwpmeLany7MZrwtZEqSonIv0rJyOKRqZs4FJdEZR83pj/SmopermbHEpFSpsBFqfr165OamloYWUSkkEWfTeGVeTtZd+QsAC1qlOP9XiHUqeRtcjIRESkKA9sG8e3GaH7dF8vxcykEVvAwO5KIFEOZdgdPfbuVrdEX8HV3Zvrg1lQvr+uFiFx/Be4WMXHiRF577TVWrVrF2bNnSUxMzLWISPHjcBiEr42k84TVrDtyFjdnK6PvbsicIW1VkBIRKUNuCPCm/Q1+OAyYvj7K7DgiUgw5HAYvzd3JygPxuDlbmTIwlLoB+rwoIoWjwD2lypUrR2JiIrfddluu9YZhYLFYsNvt1y2ciFy7I/FJvDx3J5uPnQfgxloVeO++EGpW1G14RUTKokHtglhz6AyzNh3nuY518dT8MNfO3R127/7rsUgJZRgGby3cx/xtJ3GyWvji4Za0rFn++hxc7URE8lDgTyF9+/bF2dmZmTNnaqJzkWIsy+7gq98jGb/sIBlZDjxdbIzs2oA+rWvoFr4iImXYLXUrEVTRg6izKczbeoJ+bYLMjlTyWa3QqJHZKUSu2RerjjBlbSQAH9wfwq31Kl2/g6udiEgeClyU2r17N9u2baNevXqFkUdEroP9pxN5ae5Odp5IAODmuv6M69mEauX0rZSISFlntVoY0DaIsT/tZeq6KPqG1dSXFSLCrIho3l9yAIBRdzXg3ubVTU4kImVBgeeUatWqFcePHy+MLCJyjTKyHHz86yG6ffo7O08k4OPmxAe9Qpg2KFQFKRERydGrZXW8XJ04Ep/MmsNnzI5T8mVkwBtvZC8ZGWanESmwpXtO8+r8XQA8eUttHm1f6/qfRO1ERPJgMQzDKMgOc+bM4Y033uDFF1+kSZMmODs753o9JCTkugY0Q2JiIr6+viQkJODj42N2HJF82XUigRfn7mD/6YsAdGwQwNv3NibAx83kZCIiUhyN/WkP4WujuKWeP1MHtTY7TsmWnAxeXtmPk5LAU/M2Ssmx4ehZ+k+JICPLwQOtqvPefSGFM0WL2olImZLfukqBi1JW66WdqywWS6ma6FxFKSlJ0jLtfLL8EJNXH8XuMCjv4czY7o3pFlJFc76JiMhlRZ1J5tb/rsQw4LcXOlDL38vsSCWX/tiWEmrPqQQemryBi+lZdGoYwBd9W+BkK/BgmvxROxEpU/JbVynwnFKRkZHXFExErp8tx87z0twdHIlPBuDukCq8cU8j/LxcTU4mIiLFXZCfJ7fVq8Ty/XFMWxfF2O6NzY4kIkUo+mwKA6Zs4mJ6Fq2DK/Bp7+aFV5ASEbmMAhelatasWRg5RKQAUjPsfPjLAaasjcQwwM/Llbd6NObOxpXNjiYiIiXIoHbBLN8fx9wtJ3ihcz183JyvvJOIlHhxF9PoN2UjZ5LSaVDFh68GtMLN2WZ2LBEpg/JVlPrxxx/p0qULzs7O/Pjjj/+67T333HNdgolI3tYfOcsr83Zy7GwKAPe1qM7ouxtQzsPF5GQiIlLStKtTkRsqeXEoLok5m08w+KZgsyOJSCFLTMtk4JRNHDubQo0KHkx7JFQFaRExTb6KUj169OD06dNUqlSJHj16XHa70jKnlEhxlJSexbuL9/HNhmgAqvi68U7PJtxar5LJyUREpKSyWCwMbBfEa/N3M21dFAPbBmGzaj5CkdIqLdPOY9M2szcmET8vV2YMbk0lb90UR0TMk6+ilMPhyPOxiBSN1QfjGTlvFycvpALQJ6wGI7vUx1vfaomIyDW6t3k13l9ygOhzKfy2P45ODQPMjiQihSDL7uCZ77axMfIcXq5OTB0USs2KmmxcRMxV4DmlRKToJKRm8vbCvXy/+QQAgRXcebdnCO3q+JmcTERESgsPFyceCg1k8uqjTF0XqaLU1XBzg4iIvx6LFDOGYTDqh938sjcWF5uVL/u3onE136INoXYiInnI9+0V1q9fz88//5xr3fTp0wkODqZSpUo8/vjjpKenX/eAImXVsr2xdBq/iu83n8BigYFtg1jy7M0qSImIyHXXr01NrBZYe/gsB05fNDtOyWOzQWho9mLTZNFS/Hz4ywFmbTqO1QKf9G5Gm9oViz6E2omI5CHfRan//Oc/7NmzJ+f5rl27GDx4MB07duSVV17hp59+Yty4cYUSUqQsOZecwbOztvHY9M3EXUynlp8n3z/RhjfuaYSnqzo3iojI9Ve9vAedG2XfwXXqukiT04jI9fT175F8vuIIAG/f24Q7G1cxOZGIyF/yXZTavn07t99+e87zWbNmERYWxpdffsnw4cP55JNP+P777wslpEhZYBgGC3fG0Gn8KhZsP4XVAk90qMWiZ9sTGlTB7HgiIlLKDWqXfee9+dtOcj45w+Q0JUxGBnzwQfaSoX87KT5+2HaSN3/eC8CLnevRu3UN88KonYhIHvLd7eL8+fMEBPw1x8CqVavo0qVLzvPQ0FCOHz9+fdOJlBFxF9N4/Yc9LNlzGoC6AV580KspTQPLmRtMRETKjNCg8jSs4sPemERmbTrOk7fUNjtSyZGZCS+9lP34qafAxcXcPCLAygNxjJizA4BB7YJ4yuw2rXYiInnId0+pgIAAIiOzu3NnZGSwdetWbrzxxpzXL168iLOz7gQmUhCGYfC/LSfoNH41S/acxslq4Znbb+Cnp29SQUpERIqUxWJhULsgAGasjyLLrjsui5RUW6PP8+Q3W8lyGHRvVpXRdzXEYrGYHUtE5BL5Lkp17dqVV155hTVr1jBy5Eg8PDxo3759zus7d+6kdm19oyaSX6cupDJo6iZemLODhNRMGlfz4cdhNzG8U11cnTT5o4iIFL1uTatS0dOFUwlp/LI31uw4InIVDsVe5JGpm0jNtNOhrj8f9GqK1aqClIgUT/kuSr355ps4OTnRoUMHvvzyS7788ktc/tblcsqUKdxxxx2FElKkNDEMg5kbo7njo9WsPBCPi83KS3fW44en2tGwqo/Z8UREpAxzc7bRJyx7zpnwtZrwXKSkOXkhlf5TIriQkkmzwHJ88XALXJzy/SefiEiRy/ecUn5+fqxevZqEhAS8vLyw/eM2nnPmzMHLy+u6BxQpTaLPpvDKvJ2sO3IWgOY1yvFBrxDqVPI2OZmIiEi2h2+syRcrj7Ap6jy7TybQuJqv2ZFEJB/OJWfQ/+uNxCSkUaeSF+EDQ/Fw0Z2bRaR4K3DZ3NfX95KCFECFChVy9ZwSkb84HAZT10bSecJq1h05i5uzldF3N2TukLYqSImISLES4OPGXSHZt4yfot5SIiVCcnoWg6Zu4kh8MlV83Zj+SGvKe+pvMxEp/tSXU6SQHY1P4oHJ63njp72kZtoJC67AkmdvZvBNwdg0vl9ERIqhgW2DAPh5RwzxF9PNDSMi/yojy8GQb7aw4/gFynk4M2Nwa6qWczc7lohIvhSLotTnn39OUFAQbm5uhIWFERER8a/bT5gwgXr16uHu7k5gYCDPP/88aWlpeW777rvvYrFYeO655wohucjlZdkdTF51hC4fr2HzsfN4uth4s0djvnvsRoL8PM2OJyIiclnNa5SnWWA5MuwOZm6MNjtO8efmBitWZC9ubmankTLE4TB4Yc4O1hw6g7uzjfCBocW3F77aiYjkwfRBxrNnz2b48OFMmjSJsLAwJkyYQOfOnTlw4ACVKlW6ZPuZM2fyyiuvMGXKFNq2bcvBgwcZOHAgFouF8ePH59p206ZNTJ48mZCQkKJ6OyIAHDh9kZfm7mDHiQQA2t/gx7ieTahe3sPkZCIiIvkzqF0Qz87azjcbj/HkLbU1WfK/sdngllvMTiFljGEYjP1pDz/tOIWT1cKkfi1pXqO82bEuT+1ERPJg+qeL8ePH89hjjzFo0CAaNmzIpEmT8PDwYMqUKXluv27dOtq1a0efPn0ICgrijjvuoHfv3pf0rkpKSqJv3758+eWXlC9fjC/OUqpk2h18svwQd3+6hh0nEvB2c+L9XiFMf6S1ClIiIlKidGlchUrersRfTGfRrhiz44jIP3z222GmrT8GwH8faEqHuv4mJxIRKThTi1IZGRls2bKFjh075qyzWq107NiR9evX57lP27Zt2bJlS04R6ujRoyxatIiuXbvm2m7o0KHcdddduY59Oenp6SQmJuZaRApq98kE7vlsLeOXHSTTbtCxQSV+Hd6BB1oFYrFo7igRESlZXJys9LuxJgDhayMxDMPkRMVYZiZ8/nn2kplpdhopA2ZujOa/yw4CMKZbQ7o3q2ZyonxQOxGRPJg6fO/MmTPY7XYCAgJyrQ8ICGD//v157tOnTx/OnDnDTTfdhGEYZGVlMWTIEF599dWcbWbNmsXWrVvZtGlTvnKMGzeOsWPHXv0bkTItLdPOp78dYtKqo9gdBuU9nHnjnkbc07SqilEiIlKi9QmrwacrDrPjRAJboy/QsqZ6n+cpIwOGDct+PHAgODubGkdKt8W7Yhj1wy4Anr6tDoPaBZucKJ/UTkQkD6YP3yuolStX8s477zBx4kS2bt3KvHnzWLhwIW+++SYAx48f59lnn+Xbb7/FLZ8T6I0cOZKEhISc5fjx44X5FqQU2Rp9nrs//Z3PVxzB7jC4K6QKy4Z3oHuzaipIiYhIiVfRy5V7mlYFYOq6KHPDiAjrjpzh2VnbcRjQu3UNhneqa3YkEZFrYmpPKT8/P2w2G7GxsbnWx8bGUrly5Tz3GT16NP369ePRRx8FoEmTJiQnJ/P444/z2muvsWXLFuLi4mjRokXOPna7ndWrV/PZZ5+Rnp6OzWbLdUxXV1dcXV2v87uT0iw1w85/fznA12sjMQzw83LlrR6NuLNxFbOjiYiIXFeD2gUxd8sJFu+K4XTXBlT21V2zRMyw+2QCj0/fQobdwZ2NKvNWj8b6ElRESjxTe0q5uLjQsmVLli9fnrPO4XCwfPly2rRpk+c+KSkpWK25Y/9ZZDIMg9tvv51du3axffv2nKVVq1b07duX7du3X1KQEimoDUfPcufHq/nq9+yCVM8W1fh1+M0qSImISKnUqKovrYMrkOUwmLEhyuw4ImVS5JlkBkyJICk9ixtrVWDCQ82wWVWQEpGSz9SeUgDDhw9nwIABtGrVitatWzNhwgSSk5MZNGgQAP3796datWqMGzcOgG7dujF+/HiaN29OWFgYhw8fZvTo0XTr1g2bzYa3tzeNGzfOdQ5PT08qVqx4yXqRgkhKz+K9xfuZsSH7LidVfN14594m3Fq/ksnJRERECtegtkFERJ5j5sZonr7tBtyc9SWfSFGJTUyj39cbOZucQaOqPnzZv5XaoIiUGqYXpR588EHi4+N5/fXXOX36NM2aNWPJkiU5k59HR0fn6hk1atQoLBYLo0aN4uTJk/j7+9OtWzfefvtts96ClAGrD8Yzct4uTl5IBbLH8I/sWh8fN03QKCIipV+nhgFUK+fOyQup/Lj9FA+EBpodSaRMSEjNZMCUCE6cT6VmRQ+mDmqNtz5/ikgpYjF0f99LJCYm4uvrS0JCAj4+PmbHERMlpGby9sK9fL/5BADVy7vz3n0htKvjZ3IyERGRojV51RHGLd5P/creLH62veay+bvkZPDyyn6clASenubmkVIhLdNOv683sinqPP7ervxvSFtqVPQwO9bVUzsRKVPyW1cxvaeUSHH1695YXvthF7GJ6VgsMKBNEC92roenq5qNiIiUPQ+F1mDCr4fYf/oiGyPPcWOtimZHKj5cXeHnn/96LHKNsuwOhs3cyqao83i7OTH9kdYluyAFaicikif9dS3yD+eSMxj70x4WbD8FQC0/T97rFUJoUAWTk4mIiJjH18OZe1tUY+bGaMLXRqoo9XdOTnDXXWankFLCMAxGztvFr/vicHWy8vWAUBpUKQWjN9RORCQPKkqJ/MEwDBbtOs3rC3ZzNjkDqwUeu7kWz3esq8kkRUREyJ7wfObGaJbtjeX4uRQCK5TwnhsixdB7Sw4wZ8sJbFYLn/VpQetgfTEqIqWX9cqbiJR+cRfTePKbrQyduZWzyRnUDfBi/lPtGNmlgQpSIiIif7ghwJv2N/jhMMi5G60AmZkwdWr2kplpdhopwb5cfZRJq44AMK5nEzo1DDA50XWkdiIiedBE53nQROdlh2EYzN92krE/7SUhNRMnq4Wnbq3D0Ftr4+qkYpSIiMg/Ld8Xy+Bpm/Fxc2LDq7fj4aKO95rAWa6H/205wQtzdgDwSpf6DOlQ2+RE15naiUiZoonORa4gJiGVV+ftYsWBeAAaVfXhg15NaVhVhUgREZHLubVeJYIqehB1NoX/bT1Jvxtrmh1JpMT7bX8sL/1vJwCPtQ/miZtrmZxIRKRoaPielDmGYfBdRDR3jF/NigPxuNisvNi5Hj8MbaeClIiIyBVYrRYGtA0CYOraSBwOdboXuRabo87x1LdbsTsMejavxsguDbBYLGbHEhEpEipKSZly/FwKD3+9kZHzdnExPYvmNcqx6NmbGHprHZxtag4iIiL50atldbxcnTgSn8zvh8+YHUekxDpw+iKPTN1EWqaDW+v5816vEKxWFaREpOzQX+FSJjgcBlPXRnLHR6tZe/gsbs5WRt3VgLlD2lKnkrfZ8UREREoUbzdnerWsDkD42kiT04iUTMfPpdB/ykYS07JoWbM8E/u21JekIlLmaE4pKfWOxifx8v92sinqPABhwRV4774Qgvw0uaKIiMjVGtg2iGnro1hxIJ6j8UnU8vcyO5JIiXEmKZ3+UyKITUynboAXXw9ohbuLbrIjImWPSvFSamXZHUxedYQuH69hU9R5PF1svNmjMd89dqMKUiIiItcoyM+TW+tVAmD6+mMmpxEpOZLSsxgUvonIM8lUK+fO9EfCKOfhYnYsERFTqKeUlEoHTl/kpbk72HEiAYD2N/gxrmcTqpf3MDmZiIhI6TGoXRC/7Y9jzubjDL+jLj5uzmZHMoerK3z//V+PRS4jPcvOEzM2s+tkAhU8XZg+uDWVfd3MjlU01E5EJA8qSkmpkml38MXKI3z62yEy7Qbebk6Mvrsh97esrruYiIiIXGc31fGjTiUvDsclMWfzCQbfFGx2JHM4OcH995udQoo5u8Ng+OwdrD18Fk8XG1MHhVK7LA17VTsRkTxo+J6UGrtPJnDPZ2sZv+wgmXaDjg0q8evwDjzQKlAFKRERkUJgsVgY2DYIgGnrorA7DHMDiRRThmHwxo97WLgrBmebhcn9WhFSvZzZsURETKeilJR46Vl2Plx6gO6fr2VfTCLlPZz5+KFmfNm/FQE+ZaQ7tIiIiEl6tqiGj5sT0edSWLE/zuw45sjKgjlzspesLLPTSDH08fJDzNhwDIsFPnqwGTfd4Gd2pKKndiIiedDwPSnRtkWf58W5OzkclwTAXU2qMLZ7I/y8NE5dRESkKHi4ONG7dQ0mrz5K+LpIOjYMMDtS0UtPhwceyH6clJQ9TEnkDzPWRzHh10MA/OeeRtwdUtXkRCZROxGRPOhKICVSaoad8csO8PXvkTgM8PNy5c3ujejSpIrZ0URERMqcfm1q8uWao6w9fJaDsRepG+BtdiSRYuHnnad4/cc9ADx7+w30axNkbiARkWJGw/ekxNl49CxdPl7Nl2uyC1I9m1dj2fM3qyAlIiJikurlPbijYWUAwtdGmRtGpJj4/dAZnp+9HcOAh2+swXMdbzA7kohIsaOilJQYSelZvL5gNw/+3waizqZQ2ceNKQNbMf7BZpT3dDE7noiISJk2qF0QAPO3neBCSoa5YURMtuP4BR6fsZlMu5E9vcQ9jXXjHRGRPKgoJSXCmkPxdP5oNdPXHwOgd+tAfhl+M7fVL4PzVoiIiBRDrYMr0LCKD2mZDmZtOm52HBHTHIlPYtDUTaRk2GlXpyLjH2yKzaqClIhIXlSUkmItITWTl+buoN/XEZy8kEr18u58MziMcT1D8HFzNjueiIiI/MFisTDwj95S09dFkWV3mBtIxASnE9Lo/3UE55IzaFLNl8n9WuHqZDM7lohIsaWilBRbv+6N5Y6PVvH95hMADGwbxNLnbi6bt9AVEREpAe5pWpWKni6cSkjjl72xZscRKVIXUjLoP2UjJy+kUsvPk6mDQvFy1X2lRET+ja6SUuycS85g7E97WLD9FADBfp68d18IrYMrmJxMRERE/o2bs40+YTX49LfDTF0bRdeychMSFxcID//rsZQ5qRl2Bk/bzMHYJAJ8XJn2SGsqermaHat4UTsRkTxYDMMwzA5R3CQmJuLr60tCQgI+Pj5mxylTFu6M4fUFuzmbnIHVAo+1r8Xzneri5qxuzyIiIiVBbGIa7d79jSyHwc9P30Tjar5mRxIpVJl2B0/M2MJv++PwcXNizpC21KvsbXYsERFT5beuouF7UizEXUzjyW+2MHTmVs4mZ1A3wIt5T7VjZNcGKkiJiIiUIAE+bjk9pMLXRpkbRqSQORwGL8/dyW/743B1sjJlYKgKUiIiBaCilJjKMAzmbzvBHR+tZvHu0zhZLTxzWx1+evommgWWMzueiIiIXIVBf0x4/tOOU8RfTDc3TFHIyoKFC7OXrCyz00gRMQyDdxbtY962k9isFib2bUGrIE03cVlqJyKSB80pJaaJSUjltfm7+W1/HACNqvrwfq8QGlVVN38REZGSrHmN8jQNLMeO4xf4LiKaZ26/wexIhSs9He6+O/txUhI46SN2WTB59VG++j0SgPfvC+H2BgEmJyrm1E5EJA/qKSVFzjAMZkVEc8f41fy2Pw4Xm5UXO9fjh6HtVJASEREpJR75o7fUjA3HyMhymBtG5Dr7ftNx3l28H4DXujbgvpbVTU4kIlIyqTwtRer4uRRembeTtYfPAtAssBwf9ArhhgCNvRcRESlNujSuwtve+4i7mM6iXTH0aF7N7Egi18WyvbG8Mm8nAE90qMVjN9cyOZGISMmlnlJSJBwOg2nroug8YTVrD5/F1cnKqLsa8L8n26ogJSIiUgq5OFl5+MaaAISvizI3jMh1EhF5jmEzt+Iw4P6W1XnlzvpmRxIRKdFUlCphPv/8c4KCgnBzcyMsLIyIiIh/3X7ChAnUq1cPd3d3AgMDef7550lLS8t5/YsvviAkJAQfHx98fHxo06YNixcvvq6Zj8Yn8eD/rWfMj3tIybDTOrgCS567mUfb18JmtVzXc4mIiEjx0SesBi42KzuOX2Br9Hmz44hck30xiQyeton0LAcdGwQwrmcTLBZ9lhURuRYqSpUgs2fPZvjw4YwZM4atW7fStGlTOnfuTFxcXJ7bz5w5k1deeYUxY8awb98+vv76a2bPns2rr76as0316tV599132bJlC5s3b+a2226je/fu7Nmz55rz2h0G/7f6CF0+XsOmqPN4uNh4s3sjZj12I8F+ntd8fBERESne/LxcuadZVQDC10aZG0bkGhw/l0L/KRFcTMsiNKg8n/VpjpNNf0qJiFwri2EYhtkhipvExER8fX1JSEjAx8fH7Dg5wsLCCA0N5bPPPgPA4XAQGBjI008/zSuvvHLJ9sOGDWPfvn0sX748Z90LL7zAxo0b+f333y97ngoVKvDBBx8wePDgq856MPYiL87dyY7jFwBof4Mf79zbhMAKHld9TBERESl5dp9M4O5Pf8fJauH3l2+jsq+b2ZGuv+Rk8PLKfpyUBJ768q00ib+Yzv2T1hF1NoX6lb2Z/UQbfN2dzY5V8qidiJQp+a2rqLxfQmRkZLBlyxY6duyYs85qtdKxY0fWr1+f5z5t27Zly5YtOUP8jh49yqJFi+jatWue29vtdmbNmkVycjJt2rS5qpyZdgefLj/EXZ+sYcfxC3i7OfH+fSFMf6S1ClIiIiJlUONqvrQOqkCWw+CbDcfMjlM4XFzgs8+yFxcXs9PIdXQxLZOB4RFEnU2henl3pj/SWgWpq6V2IiJ50N33SogzZ85gt9sJCAjItT4gIID9+/fnuU+fPn04c+YMN910E4ZhkJWVxZAhQ3IN3wPYtWsXbdq0IS0tDS8vL+bPn0/Dhg0LnHH3yQRemruTvTGJANxevxJv39ukdH4jKiIiIvk2qF0QEVHnmBkRzbDb6uDmbDM70vXl7AxDh5qdQq6ztEw7j0/fwp5TiVT0dGHG4DAq+ehz7VVTOxGRPKinVCm2cuVK3nnnHSZOnMjWrVuZN28eCxcu5M0338y1Xb169di+fTsbN27kySefZMCAAezduzff50nPsvPh0gN0/3wte2MSKefhzMcPNeOrAa1UkBIRERE6NQygWjl3ziVn8OOOU2bHEbkiu8PguVnbWX/0LF6uTkx7pLXmRBURKQTqKVVC+Pn5YbPZiI2NzbU+NjaWypUr57nP6NGj6devH48++igATZo0ITk5mccff5zXXnsNqzW7Juni4kKdOnUAaNmyJZs2beLjjz9m8uTJV8y1Lfo8L83dyaG4JADualKFN+5phL+361W/VxERESldnGxW+rWpybuL9xO+Nor7W1YvXXcts9thzZrsx+3bg62U9QQrYwzDYNQPu1my5zQuNiv/168ljav5mh2r5FM7EZE8qKdUCeHi4kLLli1zTVrucDhYvnz5Zed/SklJySk8/cn2x8X/3+a3dzgcpKen/2ue1Aw7by/cy31frONQXBJ+Xi580bcFn/dtoYKUiIiIXOKh0EDcnK3si0lkY+Q5s+NcX2lpcOut2Utamtlp5BqNX3aQ7yKisVjg44ea0baOn9mRSge1ExHJg3pKlSDDhw9nwIABtGrVitatWzNhwgSSk5MZNGgQAP3796datWqMGzcOgG7dujF+/HiaN29OWFgYhw8fZvTo0XTr1i2nODVy5Ei6dOlCjRo1uHjxIjNnzmTlypUsXbr0sjk2Hj3Ly//bSdTZFAB6Nq/G6LsbUt5TExaKiIhI3sp5uNCzRXVmboxm6toobqxV0exIIpeYujaST387DMBbPRrTpUkVkxOJiJRuKkqVIA8++CDx8fG8/vrrnD59mmbNmrFkyZKcyc+jo6Nz9YwaNWoUFouFUaNGcfLkSfz9/enWrRtvv/12zjZxcXH079+fmJgYfH19CQkJYenSpXTq1OmS8yelZ/H+kv1MX59955zKPm6807Mxt9UPuGRbERERkX8a2DaImRuj+WXvaY6fS9GdeaVYWbD9JG/8lD2v6gud6tI3rKbJiURESj+L8W/juMqoxMREfH19SUhIwMfHx+w4xcKaQ/G88r9dnLyQCkDv1oGM7NoAHzfdEldERETy7+GvNvL74TM8fnMtXu3awOw410dyMnh5ZT9OSgJPTYhd0qw6GM/gqZvIchgMbBvEmG4NS9e8Z8WB2olImZLfuormlJJ/lZCayctzd9Lv6whOXkilenl3vhkcxrieISpIiYiISIENahcEwKyIaFIysswNI0L2jXue/GYLWQ6De5pW5fW7VZASESkqGr4nl7V8Xyyvzt9FbGL2pOcD2tTkpTvr4+mqXxsRERG5OrfWq0TNih4cO5vCvK0nefhGDZES8xyOu8gjUzeRkmGn/Q1+fHh/U6xWFaRERIqKekrJJc4nZ/DcrG0MnraZ2MR0gip68P0TbRjbvbEKUiIiInJNrFYLA9oEATB1XdS/3hFYpDCdupBK/68jOJ+SSdPAckx6uCUuTvrzSESkKKnCILks2hXD6wt2cyYpA6sFHm1fi+c71sXdxWZ2NBERESkl7m9Vnf/+coDDcUmsOXSGm+v6mx3p2jg7w/vv//VYir3zyRn0nxLBqYQ0avl7Ej4wVF++Fja1ExHJg668AkD8xXReX7CbxbtPA1A3wIv3ezWlWWA5c4OJiIhIqePt5sz9rQKZui6KqeuiSn5RysUFXnzR7BSSTykZWQyauonDcUlU9nFjxuAwKni6mB2r9FM7EZE8qH9qGWcYBvO3naDTR6tYvPs0TlYLz9xWh5+evkkFKRERESk0A9oGYbHAb/vjiDyTbHYcKSMyshwM+WYr249fwNfdmRmDW1OtnLvZsUREyiwVpcqwmIRUBk/bzPOzd3AhJZNGVX1YMKwdw++oh6uThuuJiIhI4Qn28+TWepUAmLYuytww18puh02bshe73ew0chkOh8GLc3ew+mA87s42pgwM5YYAb7NjlR1qJyKSBw3fK4MMw2D2puO8vXAfF9OzcLFZebbjDTx+cy2cbapTioiISNEY2DaI3/bHMWfzcV64oy7ebiV0npm0NGjdOvtxUhJ4epqbRy5hGAZvLtzLgu2ncLJamPhwC1rWLG92rLJF7URE8qCiVClmdxhERJ4j7mIalbzdaB1cgVMXUhk5bxe/Hz4DQLPAcnzQK0TfEomIiEiRa3+DH3UqeXE4Lok5m0/wyE3BZkeSUmriyiOEr40C4MP7m+b00hMREXOpKFVKLdkdw9if9hKTkJazzsfNibQsBxlZDlydrLzYuR6D2gVjs1pMTCoiIiJllcViYWDbIEb9sJtp66MY0DZIn0vkupsVEc0HSw8A8PrdDenRvJrJiURE5E8aq1UKLdkdw5PfbM1VkAJITMsiI8tBnUpeLHnuZh5tX0sf/ERERMRUPVtUw8fNiWNnU1h5IM7sOFLKLNl9mlfn7wJg6K211RtPRKSYUVGqlLE7DMb+tBfjX7ZJTs+iRgWPIsskIiIicjkeLk481LoGQM7wKpHrYf2RszwzaxsOAx4KDWTEHfXMjiQiIv+golQpExF57pIeUv8Uk5BGROS5IkokIiIi8u/6t6mJ1QK/Hz7DwdiLZseRUmD3yQQem76ZjCwHdzQM4K0ejbFYNEJARKS4UVGqlIm7+O8FqYJuJyIiIlLYqpf34I6GlQGYui7K3DBS4kWdSWZgeARJ6VmEBVfgk97NcdIdpkVEiiVNdF7KVPJ2u67biYiIiBSFge2CWLLnNPO2nuClzvUo5+FidqT8c3aGMWP+eiymiUtMo/+UCM4kZdCgig9fDmiFm7PN7FgCaicikicVpUqZ1sEVqOLrxumEtDznlbIAlX3daB1coaijiYiIiFxWWHAFGlTxYV9MIrM2HWdIh9pmR8o/Fxd44w2zU5R5CamZDAjfRPS5FGpU8GDaI6H4uKn4UWyonYhIHtSPtZSxWS2M6dYQyC5A/d2fz8d0a6i77omIiEixYrFYGNQuCIAZ64+RZXeYG0hKlLRMO49N38y+mET8vFyZMbi1RgaIiJQAKkqVQnc2rsIXD7egsm/u/4gr+7rxxcMtuLNxFZOSiYiIiFzePU2rUsHThZMXUlm2N9bsOPnncMCePdmLQ8W0opZld/DMd9uIiDyHt6sT0x4JpWZFT7NjyT+pnYhIHjR8r5S6s3EVOjWsTETkOeIuplHJO3vInnpIiYiISHHl5myjT+safLbiMOFro+jSpIR8kZaaCo0bZz9OSgJPFUSKimEYvDZ/N7/sjcXFycqXA1rRqKqv2bEkL2onIpIH9ZQqxWxWC21qV6R7s2q0qV1RBSkREREp9h6+sSZOVgsRUefYfTLB7DhSzH2w9ACzNx/HaoFPezfnxloVzY4kIiIFoKKUiIiIiBQblX3dcnpITV0XZW4YKda+WnOUiSuPADCuZxM6N6psciIRESkoFaVEREREpFj5c8LzH7ef4kxSurlhpFiav+0Eby3cB8CLnevxYGgNkxOJiMjVUFFKRERERIqVFjXK0zSwHBl2BzM3RpsdR4qZFfvjeHHOTgAeaRfMU7fUNjmRiIhcLRWlRERERKTYGdQ2CIBvNhwjI0t36pJsW46d58lvt5DlMOjRrCqj7mqAxaJ5U0VESioVpURERESk2OnapAqVvF2Ju5jO4t0xZseRYuBg7EUembqJtEwHt9Tz54P7m2LVjXxEREo0J7MDiIiIiIj8k4uTlYdvrMn4ZQeZsjaK7s2qmR3p8pydYcSIvx7LdXfifAr9v44gITWT5jXKMbFvC5xt+n69RFE7EZE8WAzDMMwOUdwkJibi6+tLQkICPj4+ZscRERERKZPiL6bT7t3fyLA7mP9UW5rXKG92JDHBueQMek1ax9H4ZG6o5MWcIW0o5+FidiwREfkX+a2r6OsFERERESmW/L1d6da0KgDha6PMDSOmSE7PYlB4BEfjk6nq68b0wa1VkBIRKUVUlBIRERGRYmtQuyAAFu2K4XRCmrlhLsfhgKio7MWhSdmvl4wsB0O+2cKOEwmU93Bm+uAwqvi6mx1LrpbaiYjkQUUpERERESm2GlfzJTSoPFkOg283HjM7Tt5SUyE4OHtJTTU7TangcBgM/347aw6dwcPFRvig1tSp5GV2LLkWaicikgcVpURERESkWBvULhiAmRujScu0m5xGCpthGIz9aQ8/74zB2WZh0sMtaRZYzuxYIiJSCFSUEhEREZFi7Y6GAVQr587Z5Ax+3HHK7DhSyD797TDT1h/DYoEP72/KzXX9zY4kIiKFREUpERERESnWnGxW+rWpCcDUtVHo5tGl1zcbjjF+2UEAxtzdkO7NqpmcSERECpOKUiIiIiJS7D0UGoibs5W9MYlERJ4zO44UgkW7Yhi9YDcAz9xWh4F/DNsUEZHSS0UpERERESn2ynm4cG/z6gCEr40yN4xcd2sPn+G5WdsxDOgTVoPnO9U1O5KIiBQBFaVEREREpEQY1C4IgF/2nubE+RRzw8h1s+tEAo9P30yG3UGXxpV5s3tjLBaL2bFERKQIOJkdQEREREQkP+oGeNOuTkXWHj7LjPXHGNm1gdmRsjk5wVNP/fVY8i3yTDIDwyNIzrDTtnZFJjzUDJtVBalSSe1ERPJgMTRT5CUSExPx9fUlISEBHx8fs+OIiIiIyB9+3RvLo9M34+PmxIZXb8fDRX/cllSxiWnc98U6TpxPpXE1H7577Ea83ZzNjiUiItdBfusqGr4nIiIiIiXGbfUrUbOiB4lpWczfdtLsOHKVElIy6f91BCfOpxJU0YOpg1qrICUiUgapKCUiIiIiJYbVaqF/myAApq6Nolh0+jcMiI/PXopDnmIuNcPO4GmbOBB7EX9vV2YMDsPPy9XsWFLY1E5EJA8qSomIiIhIiXJ/q+p4utg4FJfE74fPmB0HUlKgUqXsJUUTsP+bTLuDYTO3svnYebzdnJj+SGsCK3iYHUuKgtqJiORBRSkRERERKVF83Jy5v1UgAOFro8wNI/lmGAav/G8Xy/fH4epk5esBoTSoovlbRUTKMhWlRERERKTE6d+mJgC/7Y8j8kyyyWkkP95dvJ//bT2BzWrh8z4taB1cwexIIiJiMhWlRERERKTEqeXvxa31/AGYti7K3DByRZNXHWHy6qMAvNuzCR0bBpicSEREigMVpURERESkRBrULhiAuVtOcDEt0+Q0cjlzt5xg3OL9AIzsUj9n6KWIiIiKUiIiIiJSIrW/wY/a/p4kpWcxd8sJs+NIHpbvi+Xl/+0E4PGba/FEh9omJxIRkeJERSkRERERKZEsFgsD/+gtNW1dFA6HbjNfnGyKOsdT327F7jC4r0V1XrmzvtmRRESkmHEyO4CIiIiIyNW6r0U13l+yn6izKaw4EMftDUyYq8jJCQYM+OuxsP90IoOnbiI9y8Ht9Svx7n1NsFotZscSM6mdiEgedDUQERERkRLLw8WJh0ID+XJNJFPXRZlTlHJ1halTi/68xdTxcyn0/zqCxLQsWtUsz2d9WuBs0wCNMk/tRETyoP8dRERERKRE698mCKsF1hw6w6HYi2bHKdPOJKXTf0oEcRfTqRfgzdcDQnF3sZkdS0REiikVpURERESkRAus4EGnhtk9pMLXRRV9AMOA5OTsxSi781pdTMtkYHgEkWeSqVbOnWmPtMbXw9nsWFJcqJ2ISB5UlBIRERGREm/QHxOez9t6goSUzKI9eUoKeHllLykpRXvuYiI9y84TM7aw+2QiFTxdmDG4NZV93cyOJcWJ2omI5EFFKREREREp8cKCK1C/sjdpmQ5mbYo2O06ZYncYPD97O+uOnMXTxcbUQaHU8vcyO5aIiJQAKkqJiIiISIlnsVh45I/eUtPXHyPL7jA5UdlgGAajF+xm0a7TuNis/F//VoRUL2d2LBERKSGKRVHq888/JygoCDc3N8LCwoiIiPjX7SdMmEC9evVwd3cnMDCQ559/nrS0tJzXx40bR2hoKN7e3lSqVIkePXpw4MCBwn4bIiIiImKie5pVpYKnCycvpPLrvliz45QJH/16iJkbo7FY4KMHm9Gujp/ZkUREpAQxvSg1e/Zshg8fzpgxY9i6dStNmzalc+fOxMXF5bn9zJkzeeWVVxgzZgz79u3j66+/Zvbs2bz66qs526xatYqhQ4eyYcMGli1bRmZmJnfccQfJyclF9bZEREREpIi5Odvo3ToQgClro8wNUwZMXx/FJ8sPAfCf7o25K6SKyYlERKSksRiGubc+CAsLIzQ0lM8++wwAh8NBYGAgTz/9NK+88sol2w8bNox9+/axfPnynHUvvPACGzdu5Pfff8/zHPHx8VSqVIlVq1Zx8803XzFTYmIivr6+JCQk4OPjc5XvTERERESK2umENG567zeyHAYLn7mJRlV9C/+kycnZkzcDJCWBp2fhn9NkP+04xTOztmEY8HzHujzb8QazI0lxVwbbiUhZlt+6iqk9pTIyMtiyZQsdO3bMWWe1WunYsSPr16/Pc5+2bduyZcuWnCF+R48eZdGiRXTt2vWy50lISACgQoUK1zG9iIiIiBQ3lX3d6NIku8fOVPWWKhRrDsUz/PvtGAb0b1OTZ26vY3YkEREpoZzMPPmZM2ew2+0EBATkWh8QEMD+/fvz3KdPnz6cOXOGm266CcMwyMrKYsiQIbmG7/2dw+Hgueeeo127djRu3DjPbdLT00lPT895npiYeJXvSERERETMNrBtED/tOMWCHad4pUt9Knq5Fu4JbTbo1euvx6XYjuMXeGLGFjLtBneFVGFMt0ZYLBazY0lJUIbaiYjkn+lzShXUypUreeedd5g4cSJbt25l3rx5LFy4kDfffDPP7YcOHcru3buZNWvWZY85btw4fH19c5bAwMDCii8iIiIihaxFjXI0re5LRpaDmRujC/+Ebm4wZ0724uZW+OczyeG4JAaGR5CSYeemOn6Mf6ApNqsKUpJPZaSdiEjBmFqU8vPzw2azERub++4osbGxVK5cOc99Ro8eTb9+/Xj00Udp0qQJ9957L++88w7jxo3D4ch9699hw4bx888/s2LFCqpXr37ZHCNHjiQhISFnOX78+LW/ORERERExhcViYVC7YABmbDhGRpbjCnvIlcQkpDJgSgTnUzIJqe7LpH4tcXVSbxcREbk2phalXFxcaNmyZa5Jyx0OB8uXL6dNmzZ57pOSkoLVmju27Y/un3/O2W4YBsOGDWP+/Pn89ttvBAcH/2sOV1dXfHx8ci0iIiIiUnJ1bVIFf29X4i6ms3h3jNlxSrQLKRn0/zqCkxdSqeXnSfjAULxcTZ0FRERESgnTh+8NHz6cL7/8kmnTprFv3z6efPJJkpOTGTRoEAD9+/dn5MiROdt369aNL774glmzZhEZGcmyZcsYPXo03bp1yylODR06lG+++YaZM2fi7e3N6dOnOX36NKmpqaa8RxEREREpWi5OVh4OqwlAeGFPeJ6cDBZL9pKcXLjnKmIpGVk8MnUTh+KSCPBxZfrg1oU/R5eUTqW4nYjI1TP9K44HH3yQ+Ph4Xn/9dU6fPk2zZs1YsmRJzuTn0dHRuXpGjRo1CovFwqhRozh58iT+/v5069aNt99+O2ebL774AoBbbrkl17nCw8MZOHBgob8nERERETFfn7AafL7iMNuPX2Bb9Hma1yhvdqQSJdPu4Klvt7I1+gK+7s7MGBxG9fIeZscSEZFSxGL8OeZNciQmJuLr60tCQoKG8omIiIiUYMO/3868rSfp3qwqHz/UvHBOkpwMXl7Zj5OSwNOzcM5ThBwOgxfm7GD+tpO4OVv59tEwWtasYHYsKclKYTsRkcvLb13F9OF7IiIiIiKF5ZE/JjxfuDOG2MQ0k9OUDIZh8PaifczfdhKb1cIXfVuqICUiIoVCRSkRERERKbUaV/MlNKg8WQ6DbzYcMztOiTBp1VG+/j0SgA96hXBr/UomJxIRkdJKRSkRERERKdUG/dFbaubGaNIy7SanKd5mb4rmvSX7ARh1VwN6tqhuciIRESnNVJQSERERkVLtjoYBVPV142xyBj/tOGV2nGJr6Z7TjJy3C4AhHWrzaPtaJicSEZHSTkUpERERESnVnGxW+rUJAiB8bRTX/T4/Nht07Zq92GzX99hFZOPRszz93TYcBjzQqjov31nP7EhS2pSCdiIi15+T2QFERERERApb79aBfLz8IHtjEtkUdZ7Wwddx4m43N1i48Podr4jtPZXIo9M2k5HloGODAN65twkWi8XsWFLalPB2IiKFQz2lRERERKTUK+fhwr3NqwEQvjbS5DTFR/TZFPpPieBiehatgyrwWZ/mONn0J4KIiBQN/Y8jIiIiImXCwLbZE54v3XOaE+dTTE5jvriLafSbspEzSenUr+zNlwNa4easYVUiIlJ0VJQSERERkTKhXmVv2tWpiMOAGRuOXb8DJyeDp2f2kpx8/Y5biBLTMhk4ZRPHzqYQWMGd6Y+0xtfd2exYUpqVwHYiIoVPRSkRERERKTP+7C01K+I4KRlZ1+/AKSnZSwmQlmnn8emb2RuTiJ+XCzMeCaOSj5vZsaQsKEHtRESKhopSIiIiIlJm3Fa/EjUqeJCQmsn8bSfNjlPk7A6DZ2dtY8PRc3i5OjF1UGuC/DzNjiUiImWUilIiIiIiUmbYrBYGtA0CYOraKAzDMDdQETIMg1E/7GLpnlhcbFa+7N+KxtV8zY4lIiJlmIpSIiIiIlKm3N+qOp4uNg7FJbH28Fmz4xSZ//5ykO8ijmO1wCe9m9GmdkWzI4mISBmnopSIiIiIlCk+bs70alkdgPC1kSanKRpTfo/ksxWHAXirRxPubFzF5EQiIiIqSomIiIhIGfTnEL7fDsQRdaZ03wnsh20n+c/PewEYcUdd+oTVMDmRiIhINhWlRERERKTMqeXvxS31/DEMmLY+6toOZrVChw7Zi7V4fbxeeSCOEXN2ADCwbRBDb61jciIps4pxOxER8+hqICIiIiJl0qB2wQDM2XyCi2mZV38gd3dYuTJ7cXe/Ltmuh63R53nym61kOQzuaVqV1+9uiMViMTuWlFXFtJ2IiLlUlBIRERGRMunmG/yo7e9JUnoWc7ecMDvOdXU47iKPTN1Eaqadm+v68+H9TbFaVZASEZHiRUUpERERESmTLBYLA/+YW2rauigcDsPcQNfJqQup9Ps6ggspmTQLLMekh1vg4qSP/SIiUvzofycRERERKbN6tqiOt5sTUWdTWHkw7uoOkpwM/v7ZS7K5k6afT86g39cbiUlIo04lL8IHhuLh4mRqJhGgWLUTESk+VJQSERERkTLL09WJh0IDAQhfG3X1BzpzJnsxUXJ6FoOmbuJIfDJVfN2Y/khrynu6mJpJJJdi0E5EpHhRUUpEREREyrT+bYKwWmDNoTMcir1odpyrkpHl4Mlvt7L9+AXKeTgzY3BrqpbTZNIiIlK8qSglIiIiImVaYAUPOjYIAGDquihzw1wFh8NgxJwdrD4Yj7uzjSkDQ6lTydvsWCIiIlekopSIiIiIlHmD2gUDMG/rSRJSMk1Ok3+GYfCfn/fy445TOFktfPFwC1rUKG92LBERkXxRUUpEREREyrwba1WgfmVvUjPtzN4cbXacfPt8xeGc3l3/faApt9SrZG4gERGRAlBRSkRERETKPIvFwqB2QQBMW3eMLLvD3ED5MHNjNB/+chCAMd0a0r1ZNZMTiYiIFIyKUiIiIiIiQPdm1Sjv4czJC6n8ui82/ztardCqVfZiLZqP14t3xTDqh10ADLu1Ts7wQ5Fiy4R2IiLFn64GIiIiIiKAm7ONPmE1AAhfG5X/Hd3dYdOm7MW98O94t+7IGZ6dtR2HAb1bB/LCHXUL/Zwi16yI24mIlAwqSomIiIiI/OHhG2tis1rYGHmOPacSzI5zid0nE3h8+hYy7A7ubFSZt3o0wWKxmB1LRETkqqgoJSIiIiLyhyq+7nRpXBmAqQXpLVUEos4kMzA8gqT0LG6sVYEJDzXDZlVBSkRESi4VpURERERE/ubP+ZkW7DjF2aT0K++QkgJBQdlLSkqhZIpLTKPflI2cScqgYRUfvuzfCjdnW6GcS6RQFEE7EZGSR0UpEREREZG/aVGjHCHVfcnIcvBdRPSVdzAMOHYsezGM654nITWT/lMiOH4ulZoVPZj2SGu83Zyv+3lEClUhtxMRKZlUlBIRERER+RuLxcKgdkEAzNhwjEy7w7QsaZl2Hpu2mf2nL+Lv7cqMR8Lw93Y1LY+IiMj1pKKUiIiIiMg/3NWkKv7ersQmprNoV4wpGbLsDobN3EZE1Dm8XZ2YNqg1NSp6mJJFRESkMKgoJSIiIiLyD19O/oIjnw7k2If3MqhHJyIiIv51+wlAPcDdz4/AwECef/550tLScl5fvXo13bp1o2rVqlgsFn744Yd/PZ5hGIyct4tf98Xi4mTlqwGtaFjV55rfl4iISHGiopSIiIiIyN/Mnj2b4cOH88aY16nxyKdklqtBx053EBcXl+f2M7//nleAMcC+LVv4+uuvmT17Nq+++mrONsnJyTRt2pTPP/88XxneW3KAOVtOYLXAZ72bE1ar4nV4ZyIiIsWLk9kBRERERESKk/Hjx/PYY4/xzJOPE/X9dv5Xvipnv9zKlClTeOWVVy7Zft2GDbQD+gDUrElQw4b07t2bjRs35mzTpUsXunTpkq/zf7XmKJNWHQHg3Z4h3NGo8nV4VyIiIsWPekqJiIiIiPwhIyODLVu20LFjRwAGtQ3GYrFiqRbCyjVr89yn7Y03ssVqJSI4GCwWjh49yqJFi+jatWuBzz9v6wneWrgPgJfvrM8DoYFX/2ZEihOLBRo2zF4sFrPTiEgxoZ5SIiIiIiJ/OHPmDHa7nYCAAACaVPelVc3yLPPwZd+Rw3nu02fQIM5cvMhNI0Zg+PqSlZXFkCFDcg3fy4/f9sfy4tydADx6UzBDOtS6tjcjUpx4eMCePWanEJFiRj2lRERERET+xaB2wQCcSUonLdN+yesrV67knXfeYeLEiWzdupV58+axcOFC3nzzzXyfY8uxczz17VbsDoOezavxatcGWNSbRERESjn1lBIRERER+YOfnx82m43Y2NicdZ0bBeCSeZFM93L8vDOGXi2r59pn9OjR9OvXj0cffRSAJk2akJyczOOPP85rr72G1frv3wMfOH2RQeGbSMt0cGs9f97rFYLVqoKUiIiUfuopJSIiIiLyBxcXF1q2bMny5ctz1lktkHV8J67V6hO+NhLDMHLtk5KUhDU8HBo1gpQUAGw2G8Al2/7TifMp9J+ykcS0LFrUKMfnfVvgbNNHdCmFUlKy28jf2omIiHpKiYiIiIj8zfDhwxkwYACtWrWidevWTJgwASMrHb/md7DnVCJ33fcQTevVYty4cQB069KF8ePG0fzsWcIiIzl86hSjR4+mW7duOcWppKQkDh/+a06qyMhIVq6L4NWFkcTavbihkhdTBobi4aKP51JKGQbs3fvXYxERVJQSEREREcnlwQcfJD4+ntdff53Tp0/TrFkzli5Zwg8n3fku4jg79h2mko97zvajXn4Zy7hxjAJOtmqFv78/3bp14+23387ZZvPmzdx66605z4cPHw6AZ+Pbadr3VaYPbk05D5cie48iIiLFgcW4Up/iMigxMRFfX18SEhLw8fExO46IiIiIFAP7Tydy54Q12KwWVr90K9XK/VGYSk4GL6/sx0lJ4On5r8dJz7LzyNRNrD18lgqeLswZ0oba/l6FnF7EZAVsJyJSsuW3rqIB6yIiIiIi+VC/sg9ta1fE7jCYvj7qqo5hdxgMn72DtYfP4uFiI3xgqApSIiJSZqkoJSIiIiKST4PaBQMwK+I4qRn2Au1rGAZv/LiHhbticLZZmNyvJU0DyxVCShERkZJBRSkRERERkXy6rX4lAiu4k5CayfxtJwu07yfLDzNjwzEsFvjowWa0v8G/kFKKiIiUDCpKiYiIiIjkk81qYUCbIACmrovEMAywWKBmzezFYslzvxkbjvHRrwcB+M89jbg7pGpRRRYpHvLRTkSk7FFRSkRERESkAB4IDcTDxcbB2CTWHTkLHh4QFZW9eHhcsv3CnTG8vmA3AM/cfgP9/ihqiZQpV2gnIlI2qSglIiIiIlIAPm7O9GpZHYDwtZH/uu3vh87w3OxtGAb0DavB8x1vKIqIIiIiJYKKUiIiIiIiBTSgbRAAy/fHcexscp7b7DxxgSdmbCbTbtC1SWX+070xFg1bEhERyaGilIiIiIhIAdX29+KWev4YBnyzYj+EhmYvqakAHI1PYmD4JpIz7LStXZGPHmyGzaqClJRhqamXtBMRERWlRERERESuwsA/ekvN33wcNm+GzZvZeDiek+dT6fd1BOeSM2hSzZf/698KVyebuWFFzOZw5LQTHA6z04hIMeFkdgARERERkZLo5hv8CfBxJfFMWs66geGbyHRzJ8thEOznSfigULxc9ZFbREQkL+opJSIiIiJyFX7Ze5rYxPRL1mc5DAAG3xSMn5drUccSEREpMVSUEhEREREpILvDYOxPe/91m89XHMb+R4FKRERELqWilIiIiIhIAUVEniMmIe1ft4lJSCMi8lwRJRIRESl5VJQSERERESmguIv/XpAq6HYiIiJlkWZdFBEREREpoErebrmen3X3ydd2ImWan5/ZCUSkmFFRSkRERESkgFoHV6CKrxunE9JIdXGj5TMzc71uASr7utE6uII5AUWKG09PiI83O4WIFDMaviciIiIiUkA2q4Ux3RoC2QWov/vz+ZhuDbFZ//mqiIiI/ElFKRERERGRq3Bn4yp88XALKvvmHqJX2deNLx5uwZ2Nq5iUTEREpGTQ8D0RERERkat0Z+MqdAr2Jem2TmTaHRyZNodWDaqph5TIP6WmQpcu2Y8XLwZ3d3PziEixoKKUiIiIiMg1sGHgG7EOAL+g8qCClMilHA5YteqvxyIiaPieiIiIiIiIiIiYQEUpEREREREREREpcipKiYiIiIiIiIhIkVNRSkREREREREREipyKUiIiIiIiIiIiUuR09z0RERERkWvl4WF2ApHiT+1ERP5BRSkRERERkWvh6QnJyWanECne1E5EJA8aviciIiIiIiIiIkVORSkRERERERERESlyKkqJiIiIiFyLtDS4667sJS3N7DQixZPaiYjkQXNKiYiIiIhcC7sdFi3667GIXErtRETyoJ5SIiIiIiIiIiJS5FSUEhERERERERGRIqeilIiIiIiIiIiIFDkVpUREREREREREpMipKCUiIiIiIiIiIkVOd9/Lg2EYACQmJpqcRERERESKveTkvx4nJurOYiJ5UTsRKVP+rKf8WV+5HBWl8nDx4kUAAgMDTU4iIiIiIiVK1apmJxAp/tRORMqMixcv4uvre9nXLcaVylZlkMPh4NSpU3h7e2OxWMyOc00SExMJDAzk+PHj+Pj4mB1HpNhRGxG5MrUTkStTOxG5MrUTkSsrLe3EMAwuXrxI1apVsVovP3OUekrlwWq1Ur16dbNjXFc+Pj4l+hdapLCpjYhcmdqJyJWpnYhcmdqJyJWVhnbybz2k/qSJzkVEREREREREpMipKCUiIiIiIiIiIkVORalSztXVlTFjxuDq6mp2FJFiSW1E5MrUTkSuTO1E5MrUTkSurKy1E010LiIiIiIiIiIiRU49pUREREREREREpMipKCUiIiIiIiIiIkVORSkRERERERERESlyKkqVYp9//jlBQUG4ubkRFhZGRESE2ZFEipXVq1fTrVs3qlatisVi4YcffjA7kkixMm7cOEJDQ/H29qZSpUr06NGDAwcOmB1LpFj54osvCAkJwcfHBx8fH9q0acPixYvNjiVSbL377rtYLBaee+45s6OIFBtvvPEGFosl11K/fn2zYxUJFaVKqdmzZzN8+HDGjBnD1q1badq0KZ07dyYuLs7saCLFRnJyMk2bNuXzzz83O4pIsbRq1SqGDh3Khg0bWLZsGZmZmdxxxx0kJyebHU2k2KhevTrvvvsuW7ZsYfPmzdx22210796dPXv2mB1NpNjZtGkTkydPJiQkxOwoIsVOo0aNiImJyVl+//13syMVCd19r5QKCwsjNDSUzz77DACHw0FgYCBPP/00r7zyisnpRIofi8XC/Pnz6dGjh9lRRIqt+Ph4KlWqxKpVq7j55pvNjiNSbFWoUIEPPviAwYMHmx1FpNhISkqiRYsWTJw4kbfeeotmzZoxYcIEs2OJFAtvvPEGP/zwA9u3bzc7SpFTT6lSKCMjgy1bttCxY8ecdVarlY4dO7J+/XoTk4mISEmWkJAAZP/BLSKXstvtzJo1i+TkZNq0aWN2HJFiZejQodx11125/kYRkb8cOnSIqlWrUqtWLfr27Ut0dLTZkYqEk9kB5Po7c+YMdrudgICAXOsDAgLYv3+/SalERKQkczgcPPfcc7Rr147GjRubHUekWNm1axdt2rQhLS0NLy8v5s+fT8OGDc2OJVJszJo1i61bt7Jp0yazo4gUS2FhYUydOpV69eoRExPD2LFjad++Pbt378bb29vseIVKRSkRERG5oqFDh7J79+4yM7+BSEHUq1eP7du3k5CQwNy5cxkwYACrVq1SYUoEOH78OM8++yzLli3Dzc3N7DgixVKXLl1yHoeEhBAWFkbNmjX5/vvvS/1QcBWlSiE/Pz9sNhuxsbG51sfGxlK5cmWTUomISEk1bNgwfv75Z1avXk316tXNjiNS7Li4uFCnTh0AWrZsyaZNm/j444+ZPHmyyclEzLdlyxbi4uJo0aJFzjq73c7q1av57LPPSE9Px2azmZhQpPgpV64cdevW5fDhw2ZHKXSaU6oUcnFxoWXLlixfvjxnncPhYPny5ZrfQERE8s0wDIYNG8b8+fP57bffCA4ONjuSSIngcDhIT083O4ZIsXD77beza9cutm/fnrO0atWKvn37sn37dhWkRPKQlJTEkSNHqFKlitlRCp16SpVSw4cPZ8CAAbRq1YrWrVszYcIEkpOTGTRokNnRRIqNpKSkXN8+REZGsn37dipUqECNGjVMTCZSPAwdOpSZM2eyYMECvL29OX36NAC+vr64u7ubnE6keBg5ciRdunShRo0aXLx4kZkzZ7Jy5UqWLl1qdjSRYsHb2/uSuQg9PT2pWLGi5igU+cOIESPo1q0bNWvW5NSpU4wZMwabzUbv3r3NjlboVJQqpR588EHi4+N5/fXXOX36NM2aNWPJkiWXTH4uUpZt3ryZW2+9Nef58OHDARgwYABTp041KZVI8fHFF18AcMstt+RaHx4ezsCBA4s+kEgxFBcXR//+/YmJicHX15eQkBCWLl1Kp06dzI4mIiIlxIkTJ+jduzdnz57F39+fm266iQ0bNuDv7292tEJnMQzDMDuEiIiIiIiIiIiULZpTSkREREREREREipyKUiIiIiIiIiIiUuRUlBIRERERERERkSKnopSIiIiIiIiIiBQ5FaVERERERERERKTIqSglIiIiIiIiIiJFTkUpEREREREREREpcipKiYiIiIiIiIhIkVNRSkRERERKHYvFwg8//GB2DBEREfkXKkqJiIjIdTdw4EAsFgsWiwVnZ2cCAgLo1KkTU6ZMweFwmB2vyEydOpVy5cpdcTu73c67775L/fr1cXd3p0KFCoSFhfHVV18VfsgiMnDgQHr06HHdthMREZGSz8nsACIiIlI63XnnnYSHh2O324mNjWXJkiU8++yzzJ07lx9//BEnJ30M+dPYsWOZPHkyn332Ga1atSIxMZHNmzdz/vx5s6OJiIiIFBr1lBIREZFC4erqSuXKlalWrRotWrTg1VdfZcGCBSxevJipU6fmbBcdHU337t3x8vLCx8eHBx54gNjY2FzH+umnnwgNDcXNzQ0/Pz/uvffenNfyGqZVrly5nHNERUVhsVj4/vvvad++Pe7u7oSGhnLw4EE2bdpEq1at8PLyokuXLsTHx+c6zldffUWDBg1wc3Ojfv36TJw4Mee1P487b948br31Vjw8PGjatCnr168HYOXKlQwaNIiEhIScXmNvvPFGnv9WP/74I0899RT3338/wcHBNG3alMGDBzNixIicbRwOB+PGjSM4OBh3d3eaNm3K3LlzLznODTfcgJubG7feeivTpk3DYrFw4cIF4K+eWz///DP16tXDw8ODXr16kZKSwrRp0wgKCqJ8+fI888wz2O32nOOmp6czYsQIqlWrhqenJ2FhYaxcuTLn9T+Pu3TpUho0aICXlxd33nknMTExALzxxhtMmzaNBQsW5Pxb/H3/f3PLLbfwzDPP8NJLL1GhQgUqV658yb/joUOHuPnmm3Fzc6Nhw4YsW7bskuMcP36cBx54gHLlylGhQgW6d+9OVFQUAPv378fDw4OZM2fmbP/999/j7u7O3r1785VTRERECk5FKRERESkyt912G02bNmXevHlAdqGle/funDt3jlWrVrFs2TKOHj3Kgw8+mLPPwoULuffee+natSvbtm1j+fLltG7dusDnHjNmDKNGjWLr1q04OTnRp08fXnrpJT7++GPWrFnD4cOHef3113O2//bbb3n99dd5++232bdvH++88w6jR49m2rRpuY772muvMWLECLZv307dunXp3bs3WVlZtG3blgkTJuDj40NMTAwxMTG5ikx/V7lyZX777bdLimJ/N27cOKZPn86kSZPYs2cPzz//PA8//DCrVq0CIDIykl69etGjRw927NjBE088wWuvvXbJcVJSUvjkk0+YNWsWS5YsYeXKldx7770sWrSIRYsWMWPGDCZPnpyr4DVs2DDWr1/PrFmz2LlzJ/fffz933nknhw4dynXcDz/8kBkzZrB69Wqio6Nz3u+IESN44IEHcgpVMTExtG3bNh8/tWzTpk3D09OTjRs38v777/Of//wnp/DkcDjo2bMnLi4ubNy4kUmTJvHyyy/n2j8zM5POnTvj7e3NmjVrWLt2bU7hLCMjg/r16/Phhx/y1FNPER0dzYkTJxgyZAjvvfceDRs2zHdOERERKSBDRERE5DobMGCA0b179zxfe/DBB40GDRoYhmEYv/zyi2Gz2Yzo6Oic1/fs2WMARkREhGEYhtGmTRujb9++lz0XYMyfPz/XOl9fXyM8PNwwDMOIjIw0AOOrr77Kef27774zAGP58uU568aNG2fUq1cv53nt2rWNmTNn5jrum2++abRp0+ayx/0z+759+wzDMIzw8HDD19f3stn/vl+DBg0Mq9VqNGnSxHjiiSeMRYsW5byelpZmeHh4GOvWrcu13+DBg43evXsbhmEYL7/8stG4ceNcr7/22msGYJw/fz4nD2AcPnw4Z5snnnjC8PDwMC5evJizrnPnzsYTTzxhGIZhHDt2zLDZbMbJkydzHfv22283Ro4cednjfv7550ZAQEDO83/7nfi7f27XoUMH46abbsq1TWhoqPHyyy8bhmEYS5cuNZycnHLlW7x4ca7fixkzZhj16tUzHA5Hzjbp6emGu7u7sXTp0px1d911l9G+fXvj9ttvN+64445c24uIiMj1p8kcREREpEgZhoHFYgFg3759BAYGEhgYmPN6w4YNKVeuHPv27SM0NJTt27fz2GOPXfN5Q0JCch4HBAQA0KRJk1zr4uLiAEhOTubIkSMMHjw417mzsrLw9fW97HGrVKkCQFxcHPXr1893toYNG7J79262bNnC2rVrWb16Nd26dWPgwIF89dVXHD58mJSUFDp16pRrv4yMDJo3bw7AgQMHCA0NzfV6Xj3KPDw8qF27dq73HRQUhJeXV57/Frt27cJut1O3bt1cx0lPT6dixYqXPW6VKlVyjnGt/v5v/M9j//k7VLVq1ZzX27Rpk2v7HTt2cPjwYby9vXOtT0tL48iRIznPp0yZQt26dbFarezZsyfn91REREQKh4pSIiIiUqT27dtHcHBwvrd3d3f/19ctFguGYeRal5mZecl2zs7OufbJa92fdwZMSkoC4MsvvyQsLCzXcWw22xWPezV3GLRarYSGhhIaGspzzz3HN998Q79+/Xjttddy8ixcuJBq1arl2s/V1bVA5/l73j8z57Xu7/8WNpuNLVu2XPLe/17IyusY//y5XK1/y5cfSUlJtGzZkm+//faS1/z9/XMe79ixg+TkZKxWKzExMTlFRhERESkcKkqJiIhIkfntt9/YtWsXzz//PAANGjTg+PHjHD9+PKe31N69e7lw4ULOXD4hISEsX76cQYMG5XlMf3//nAm1IXvS65SUlGvKGRAQQNWqVTl69Ch9+/a96uO4uLjkmjC8IP58/8nJyTRs2BBXV1eio6Pp0KFDntvXq1ePRYsW5Vq3adOmqzr33zVv3hy73U5cXBzt27e/6uNcy7/Fv/nzd+jvRaQNGzbk2qZFixbMnj2bSpUq4ePjk+dxzp07x8CBA3nttdeIiYmhb9++bN269YpFUREREbl6muhcRERECkV6ejqnT5/m5MmTbN26lXfeeYfu3btz9913079/fwA6duxIkyZNcgoAERER9O/fnw4dOtCqVSsge4Ly7777jjFjxrBv3z527drFe++9l3Oe2267jc8++4xt27axefNmhgwZcknPmqsxduxYxo0bxyeffMLBgwfZtWsX4eHhjB8/Pt/HCAoKIikpieXLl3PmzJnLFst69erFRx99xMaNGzl27BgrV65k6NCh1K1bl/r16+Pt7c2IESN4/vnnmTZtGkeOHGHr1q18+umnOROvP/HEE+zfv5+XX36ZgwcP8v333+fcgfBahqHVrVuXvn370r9/f+bNm0dkZCQRERGMGzeOhQsXFujfYufOnRw4cIAzZ87k2ZvtanTs2JG6desyYMAAduzYwZo1ay6Z4L1v3774+fnRvXt31qxZQ2RkJCtXruSZZ57hxIkTAAwZMoTAwEBGjRrF+PHjsdvtl52YXkRERK4PFaVERESkUCxZsoQqVaoQFBTEnXfeyYoVK/jkk09YsGBBzjAwi8XCggULKF++PDfffDMdO3akVq1azJ49O+c4t9xyC3PmzOHHH3+kWbNm3HbbbUREROS8/t///pfAwEDat29Pnz59GDFiBB4eHtec/9FHH+Wrr74iPDycJk2a0KFDB6ZOnVqgoYdt27ZlyJAhPPjgg/j7+/P+++/nuV3nzp356aef6NatW06BpX79+vzyyy84OWV3bH/zzTcZPXo048aNo0GDBtx5550sXLgwJ09wcDBz585l3rx5hISE8MUXX+QUZwo6xO+fwsPD6d+/Py+88AL16tWjR48ebNq0iRo1auT7GI899hj16tWjVatW+Pv7s3bt2mvK9Cer1cr8+fNJTU2ldevWPProo7z99tu5tvHw8GD16tXUqFGDnj170qBBAwYPHkxaWho+Pj5Mnz49586DTk5OeHp68s033/Dll1+yePHi65JTRERELmUxrtdgfxEREREpVt5++20mTZrE8ePHzY4iIiIicgnNKSUiIiJSSkycOJHQ0FAqVqzI2rVr+eCDDxg2bJjZsURERETypKKUiIiISClx6NAh3nrrLc6dO0eNGjV44YUXGDlypNmxRERERPKk4XsiIiIiIiIiIlLkNNG5iIiIiIiIiIgUORWlRERERERERESkyKkoJSIiIiIiIiIiRU5FKRERERERERERKXIqSomIiIiIiIiISJFTUUpERERERERERIqcilIiIiIiIiIiIlLkVJQSEREREREREZEip6KUiIiIiIiIiIgUORWlRERERERERESkyKkoJSIiIiIiIiIiRU5FKRERERERERERKXIqSomIiIiIiIiISJFTUUpERERERERERIqcilIiIiJSZk2dOhWLxUJUVFTOultuuYVbbrnFtEx/slgsDBs2zOwYBbJy5UosFgsrV640O4qIiIiUACpKiYiISImxa9cuevXqRc2aNXFzc6NatWp06tSJTz/9tNDOeerUKd544w22b99+xW0tFku+lpJWtHE4HEyfPp2wsDAqVKiAt7c3devWpX///mzYsMHseCIiIlJCOZkdQERERCQ/1q1bx6233kqNGjV47LHHqFy5MsePH2fDhg18/PHHPP3009flPL/88kuu56dOnWLs2LEEBQXRrFmzf913xowZuZ5Pnz6dZcuWXbK+QYMG1yVrUXnmmWf4/PPP6d69O3379sXJyYkDBw6wePFiatWqxY033gjAzTffTGpqKi4uLiYnFhERkZJARSkREREpEd5++218fX3ZtGkT5cqVy/VaXFzcdTvPtRRUHn744VzPN2zYwLJlyy5ZX5LExsYyceJEHnvsMf7v//4v12sTJkwgPj4+57nVasXNza2oI4qIiEgJpeF7IiIiUiIcOXKERo0aXVKQAqhUqVKu53/Ox/Ttt99Sr1493NzcaNmyJatXr77ief4+p9TKlSsJDQ0FYNCgQTnD76ZOnXrV7yM5OZkXXniBwMBAXF1dqVevHh9++CGGYVxx37feegur1ZpruOLixYtp3749np6eeHt7c9ddd7Fnz55c+w0cOBAvLy9OnjxJjx498PLywt/fnxEjRmC32//1nJGRkRiGQbt27S55zWKx5Pq3/+ecUn/O2ZXX8s95u7755htatmyJu7s7FSpU4KGHHuL48eO5tjl06BD33XcflStXxs3NjerVq/PQQw+RkJBwxX87ERERKX7UU0pERERKhJo1a7J+/Xp2795N48aNr7j9qlWrmD17Ns888wyurq5MnDiRO++8k4iIiHztD9nD7P7zn//w+uuv8/jjj9O+fXsA2rZte1XvwTAM7rnnHlasWMHgwYNp1qwZS5cu5cUXX+TkyZN89NFHl9131KhRvPPOO0yePJnHHnsMyB4uOGDAADp37sx7771HSkoKX3zxBTfddBPbtm0jKCgoZ3+73U7nzp0JCwvjww8/5Ndff+W///0vtWvX5sknn7zseWvWrAnAnDlzuP/++/Hw8Mj3+7355psvGbp47NgxRo0alauY9fbbbzN69GgeeOABHn30UeLj4/n000+5+eab2bZtG+XKlSMjI4POnTuTnp7O008/TeXKlTl58iQ///wzFy5cwNfXN9+5REREpJgwREREREqAX375xbDZbIbNZjPatGljvPTSS8bSpUuNjIyMS7YFDMDYvHlzzrpjx44Zbm5uxr333puzLjw83ACMyMjInHUdOnQwOnTokPN806ZNBmCEh4cXOPPQoUONv3/c+uGHHwzAeOutt3Jt16tXL8NisRiHDx/O9R6GDh1qGIZhvPDCC4bVajWmTp2a8/rFixeNcuXKGY899liuY50+fdrw9fXNtX7AgAEGYPznP//JtW3z5s2Nli1bXvF99O/f3wCM8uXLG/fee6/x4YcfGvv27btkuxUrVhiAsWLFijyPk5qaarRs2dKoWrWqERMTYxiGYURFRRk2m814++23c227a9cuw8nJKWf9tm3bDMCYM2fOFfOKiIhIyaDheyIiIlIidOrUifXr13PPPfewY8cO3n//fTp37ky1atX48ccfL9m+TZs2tGzZMud5jRo16N69O0uXLr3ikLXCsmjRImw2G88880yu9S+88AKGYbB48eJc6w3DYNiwYXz88cd88803DBgwIOe1ZcuWceHCBXr37s2ZM2dyFpvNRlhYGCtWrLjk/EOGDMn1vH379hw9evSKucPDw/nss88IDg5m/vz5jBgxggYNGnD77bdz8uTJfL//p556il27dvG///2PypUrAzBv3jwcDgcPPPBArvdRuXJlbrjhhpz38WdPqKVLl5KSkpLvc4qIiEjxpeF7IiIiUmKEhoYyb948MjIy2LFjB/Pnz+ejjz6iV69ebN++nYYNG+Zse8MNN1yyf926dUlJSSE+Pj6nKFKUjh07RtWqVfH29s61/s+78R07dizX+unTp5OUlMQXX3xB7969c7126NAhAG677bY8z+Xj45PruZubG/7+/rnWlS9fnvPnz18xt9VqZejQoQwdOpSzZ8+ydu1aJk2axOLFi3nooYdYs2bNFY8xefJkwsPDmTx5cs7d+v58H4Zh5PnzAnB2dgYgODiY4cOHM378eL799lvat2/PPffcw8MPP6yheyIiIiWUilIiIiJS4ri4uBAaGkpoaCh169Zl0KBBzJkzhzFjxpgd7bpq164d27dv57PPPuOBBx6gQoUKOa85HA4ge16pvApsTk65P+bZbLbrkqlixYrcc8893HPPPdxyyy2sWrWKY8eO5cw9lZeIiAieffZZHn30UR5//PFcrzkcDiwWC4sXL84zo5eXV87j//73vwwcOJAFCxbwyy+/8MwzzzBu3Dg2bNhA9erVr8v7ExERkaKjopSIiIiUaK1atQIgJiYm1/o/exL93cGDB/Hw8Likx9C/sVgs1xbwb2rWrMmvv/7KxYsXc/WW2r9/f87rf1enTh3ef/99brnlFu68806WL1+es1/t2rWB7DsPduzY8bplLIhWrVqxatUqYmJiLluUio+Pp1evXjRr1ozPP//8ktdr166NYRgEBwdTt27dK56zSZMmNGnShFGjRrFu3TratWvHpEmTeOutt675/YiIiEjR0pxSIiIiUiKsWLECwzAuWb9o0SIA6tWrl2v9+vXr2bp1a87z48ePs2DBAu64444C9Rry9PQE4MKFC1eROreuXbtit9v57LPPcq3/6KOPsFgsdOnS5ZJ9QkJCWLRoEfv27aNbt26kpqYC0LlzZ3x8fHjnnXfIzMy8ZL/4+Phrzgtw+vRp9u7de8n6jIwMli9fjtVqpU6dOnnua7fbeeihh8jIyOB///sfLi4ul2zTs2dPbDYbY8eOveTnaxgGZ8+eBSAxMZGsrKxcrzdp0gSr1Up6evrVvj0RERExkXpKiYiISInw9NNPk5KSwr333kv9+vXJyMhg3bp1zJ49m6CgIAYNGpRr+8aNG9O5c2eeeeYZXF1dmThxIgBjx44t0Hlr165NuXLlmDRpEt7e3nh6ehIWFkZwcHCB30O3bt249dZbee2114iKiqJp06b88ssvLFiwgOeeey6n99M/3XjjjSxYsICuXbvSq1cvfvjhB3x8fPjiiy/o168fLVq04KGHHsLf35/o6GgWLlxIu3btLil+XY0TJ07QunVrbrvtNm6//XYqV65MXFwc3333HTt27OC5557Dz88vz30nTZrEb7/9xpAhQy6ZeD0gIIBOnTpRu3Zt3nrrLUaOHElUVBQ9evTA29ubyMhI5s+fz+OPP86IESP47bffGDZsGPfffz9169YlKyuLGTNmYLPZuO+++675fYqIiEjRU1FKRERESoQPP/yQOXPmsGjRIv7v//6PjIwMatSowVNPPcWoUaMoV65cru07dOhAmzZtGDt2LNHR0TRs2JCpU6cSEhJSoPM6Ozszbdo0Ro4cyZAhQ8jKyiI8PPyqilJWq5Uff/yR119/ndmzZxMeHk5QUBAffPABL7zwwr/ue9ttt/H9999z33330a9fP2bOnEmfPn2oWrUq7777Lh988AHp6elUq1aN9u3bX1Kku1r16tVjwoQJLFq0iIkTJxIbG4ubmxuNGzfmyy+/ZPDgwZfd98/eWpMmTWLSpEm5XuvQoQOdOnUC4JVXXqFu3bp89NFHOUXDwMBA7rjjDu655x4AmjZtSufOnfnpp584efIkHh4eNG3alMWLF+eaOF1ERERKDouRVz94ERERkRLMYrEwdOjQ69JTSEREREQKh+aUEhERERERERGRIqeilIiIiIiIiIiIFDkVpUREREREREREpMhponMREREpdTRlpoiIiEjxp55SIiIiIiIiIiJS5FSUEhERERERERGRIqfhe3lwOBycOnUKb29vLBaL2XFEREREREREREoMwzC4ePEiVatWxWq9fH8oFaXycOrUKQIDA82OISIiIiIiIiJSYh0/fpzq1atf9nUVpfLg7e0NZP/j+fj4mJxGxDyZmZn88ssv3HHHHTg7O5sdR0RE/qDrs4hI8aTrs0i2xMREAgMDc+orl6OiVB7+HLLn4+OjopSUaZmZmXh4eODj46P/VEVEihFdn0VEiiddn0Vyu9KUSJroXEREREREREREipyKUiIiIiIiIiIiUuRUlBIRERERERERkSKnopSIiIiIiIiIiBQ5FaVERERERERERKTIqSglIiIiIiIiIiJFTkUpEREREREREREpcipKiYiIiIiIiIhIkVNRSkREREREREREipyKUiJlzBtvvIHFYsm11K9fP+f1tLQ0hg4dSsWKFSlfvjzvvvsusbGxOa/v2LGD3r17ExgYiLu7Ow0aNODjjz82462IiIiIiIhICfb/7d17lNd1ve/x1zAMIMJAkMxIAl7KCyri1oIxdXnhohHpkWXpISWvSxdYMuoxz/GGppZtt3ZB27UJdJfb0pOal50gBVaCGG4ytYjUNqlcTAUEj8M4zPnDzWwnMBB+fH/D8HisxVr8vt/P7/t9/9b6zTd89v39pmO5BwCKt//+++fRRx9tedyx439fCiZOnJiHHnood999d3beeeeMGzcun/3sZ/P4448nSebPn58+ffrkBz/4Qfr165fHH3885557biorKzNhwoTCXwsAAADbJ1EKdkAdO3ZMbW3tBttXrlyZKVOm5M4778wxxxyTxsbGXHDBBZkwYULmzp2boUOH5swzz2z1nD333DNz5szJT37yE1EKAACAzebje7ADWrRoUfr27Zs999wzY8eOzeLFi5O8exdUY2Njhg0b1rJ2t912S//+/TNnzpz3Pd7KlSvTq1evbT43AAAA7Yc7pWAHM2TIkEybNi377LNPlixZkkmTJuWII47IM888k6VLl6ZTp07p2bNnq+f06dMnS5cu3ejxHn/88fzoRz/KQw89VMD0AAAAtBeiFOxgjj/++Ja/Dxo0KEOGDMmAAQPy4x//ODvttNMHOtYzzzyTE044IVdddVVGjBhR6lEBAABox3x8D3ZwPXv2zN57750//elPqa2tzdq1a7NixYpWa5YvX77Bd1A999xzOfbYY3Puuefm8ssvL3BiAAAA2gNRCnZwq1evzvPPP59dd901hxxySKqqqjJz5syW/S+//HIWL16curq6lm3PPvtsjj766IwbNy7XXXddOcYGAABgO+fje7CDufjiizN69OgMGDAgr7zySq666qpUVlbm1FNPTY8ePXLWWWelvr4+vXr1SteuXfPNb34zQ4cOzdChQ5O8+5G9Y445JiNHjkx9fX3Ld01VVlZml112KedLAwAAYDsiSsEO5qWXXsqpp56a1157LbvssksOP/zwzJ07tyUo3XzzzenQoUPGjBmThoaGDBo0KD/+8Y9bnn/PPffk1VdfzQ9+8IP84Ac/aNk+YMCA/PnPfy765QAAALCdalMf37v66qtTUVHR6s++++7bsv/tt9/O+PHj07t373Tr1i1jxozJsmXLWh1j8eLFGTVqVLp27Zo+ffrkkksuyTvvvFP0S4E266677sorr7yShoaGvPTSS7nrrruy1157tezv0qVLJk+enNdffz0rVqzIl7/85VbfJ3X11Venubl5gz+CFAAAAB9Em7tTav/998+jjz7a8rhjx/8eceLEiXnooYdy9913KT9NvwAAN95JREFUp0ePHpkwYUJOOumk/PrXv06SNDU1ZdSoUamtrc3jjz+eJUuW5PTTT09VVVWuv/76wl8LAAAAABvX5qJUx44dN/gtX0mycuXKTJkyJXfeeWeOOeaYJMnUqVOz3377Ze7cuRk6dGimT5+e5557Lo8++mhqamoyePDgXHvttbn00ktz9dVXp1OnTkW/HAAAAAA2os1FqUWLFqVv377p0qVL6urqcsMNN6R///6ZP39+GhsbM2zYsJa1++67b/r37585c+Zk6NChmTNnTg488MDU1NS0rBk5cmTOP//8PPvsszn44IPL8ZLK7icLl5R7BLZXTU2pTPLAomVJZWW5p2E7dNI+u5Z7BAAAoI1qU1FqyJAhmTZtWvbZZ58sWbIkkyZNyhFHHJFnnnkmS5cuTadOndKzZ89Wz6mpqWn57V9Lly5tFaTW71+/7/00NDSkoaGh5fGqVauSJI2NjWlsbCzFSyuvpqZyT8D2av17x3uILdQurqHQBq3/2fIzBtC2uD7Duzb3Z6BNRanjjz++5e+DBg3KkCFDMmDAgPz4xz/OTjvttM3Oe8MNN2TSpEkbbJ8+fXq6du26zc5bFPe3sLUqX1hQ7hHYTj28qNwTQPs2Y8aMco8AwEa4PrOje+uttzZrXZuKUn+rZ8+e2XvvvfOnP/0pw4cPz9q1a7NixYpWd0stW7as5TuoamtrM2/evFbHWP/b+Tb2PVXrXXbZZamvr295vGrVqvTr1y8jRoxIdXV1CV9ReTywaNmmF8HGNDWl8oUFadpzsI/vsUVGf6xm04uAD6yxsTEzZszI8OHDU1VVVe5xAPgvrs/wrvWfQNuUNh2lVq9eneeffz6nnXZaDjnkkFRVVWXmzJkZM2ZMkmThwoVZvHhx6urqkiR1dXW57rrrsnz58vTp0yfJu4W6uro6AwcOfN/zdO7cOZ07d95ge1VVVfu4kIgJbK3KSu8jtki7uIZCG9Zu/q0C0M64PrOj29z3f5uKUhdffHFGjx6dAQMG5JVXXslVV12VysrKnHrqqenRo0fOOuus1NfXp1evXqmurs4FF1yQurq6DB06NEkyYsSIDBw4MKeddlpuvPHGLF26NJdffnnGjx+/0egEAAAAQHm0qSj10ksv5dRTT81rr72WXXbZJYcffnjmzp2bXXbZJUly8803p0OHDhkzZkwaGhoycuTI3HrrrS3Pr6yszIMPPpjzzz8/dXV12XnnnTNu3Lhcc8015XpJAAAAAGxEm4pSd91119/d36VLl0yePDmTJ09+3zUDBgzIww8/XOrRAAAAACihDuUeAAAAAIAdjygFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHBtOkp99atfTUVFRS688MKWbW+//XbGjx+f3r17p1u3bhkzZkyWLVvW6nmLFy/OqFGj0rVr1/Tp0yeXXHJJ3nnnnYKnBwAAAOD9tNko9eSTT+af//mfM2jQoFbbJ06cmAceeCB33313Zs+enVdeeSUnnXRSy/6mpqaMGjUqa9euzeOPP57bb78906ZNy5VXXln0SwAAAADgfbTJKLV69eqMHTs23/ve9/KhD32oZfvKlSszZcqU/NM//VOOOeaYHHLIIZk6dWoef/zxzJ07N0kyffr0PPfcc/nBD36QwYMH5/jjj8+1116byZMnZ+3ateV6SQAAAAC8R8dyD7Ax48ePz6hRozJs2LB85Stfadk+f/78NDY2ZtiwYS3b9t133/Tv3z9z5szJ0KFDM2fOnBx44IGpqalpWTNy5Micf/75efbZZ3PwwQdvcL6GhoY0NDS0PF61alWSpLGxMY2NjdviJRarqancE7C9Wv/e8R5iC7WLayi0Qet/tvyMAbQtrs/wrs39GWhzUequu+7KU089lSeffHKDfUuXLk2nTp3Ss2fPVttramqydOnSljXvDVLr96/ftzE33HBDJk2atMH26dOnp2vXrlvyMtqUynIPwHav8oUF5R6B7dTDi8o9AbRvM2bMKPcIAGyE6zM7urfeemuz1rWpKPWXv/wlX/rSlzJjxox06dKlsPNedtllqa+vb3m8atWq9OvXLyNGjEh1dXVhc2wrDyxatulFsDFNTal8YUGa9hycVMqbfHCjP1az6UXAB9bY2JgZM2Zk+PDhqaqqKvc4APwX12d41/pPoG1Km4pS8+fPz/Lly/MP//APLduampry2GOP5dvf/nYeeeSRrF27NitWrGh1t9SyZctSW1ubJKmtrc28efNaHXf9b+dbv+Zvde7cOZ07d95ge1VVVfu4kIgJbK3KSu8jtki7uIZCG9Zu/q0C0M64PrOj29z3f5v6ovNjjz02v/vd77JgwYKWP4ceemjGjh3b8veqqqrMnDmz5TkLFy7M4sWLU1dXlySpq6vL7373uyxfvrxlzYwZM1JdXZ2BAwcW/poAAAAA2FCbulOqe/fuOeCAA1pt23nnndO7d++W7WeddVbq6+vTq1evVFdX54ILLkhdXV2GDh2aJBkxYkQGDhyY0047LTfeeGOWLl2ayy+/POPHj9/o3VAAAAAAFK9NRanNcfPNN6dDhw4ZM2ZMGhoaMnLkyNx6660t+ysrK/Pggw/m/PPPT11dXXbeeeeMGzcu11xzTRmnBgAAAOC92nyUmjVrVqvHXbp0yeTJkzN58uT3fc6AAQPy8MMPb+PJAAAAANhSbeo7pQAAAADYMYhSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAAChcSaLUMccckxUrVmywfdWqVTnmmGNKcQoAAAAA2pGSRKlZs2Zl7dq1G2x/++2388tf/nKzj3Pbbbdl0KBBqa6uTnV1derq6vLv//7vrY43fvz49O7dO926dcuYMWOybNmyVsdYvHhxRo0ala5du6ZPnz655JJL8s4772z5iwMAAACg5DpuzZOffvrplr8/99xzWbp0acvjpqam/OxnP8tHPvKRzT7ebrvtlq9+9av52Mc+lubm5tx+++054YQT8h//8R/Zf//9M3HixDz00EO5++6706NHj0yYMCEnnXRSfv3rX7ecc9SoUamtrc3jjz+eJUuW5PTTT09VVVWuv/76rXmpAAAAAJTQVkWpwYMHp6KiIhUVFRv9mN5OO+2Ub33rW5t9vNGjR7d6fN111+W2227L3Llzs9tuu2XKlCm58847W841derU7Lfffpk7d26GDh2a6dOn57nnnsujjz6ampqaDB48ONdee20uvfTSXH311enUqdPWvFwAAAAASmSrPr734osv5vnnn09zc3PmzZuXF198seXPyy+/nFWrVuXMM8/comM3NTXlrrvuypo1a1JXV5f58+ensbExw4YNa1mz7777pn///pkzZ06SZM6cOTnwwANTU1PTsmbkyJFZtWpVnn322a15qQAAAACU0FbdKTVgwIAkybp160oyTJL87ne/S11dXd5+++1069Yt9957bwYOHJgFCxakU6dO6dmzZ6v1NTU1LR8bXLp0aasgtX7/+n3vp6GhIQ0NDS2PV61alSRpbGxMY2NjKV5WeTU1lXsCtlfr3zveQ2yhdnENhTZo/c+WnzGAtsX1Gd61uT8DWxWl3mvRokX5xS9+keXLl28Qqa688srNPs4+++yTBQsWZOXKlbnnnnsybty4zJ49u1RjbtQNN9yQSZMmbbB9+vTp6dq16zY9dxEqyz0A273KFxaUewS2Uw8vKvcE0L7NmDGj3CMAsBGuz+zo3nrrrc1aV5Io9b3vfS/nn39+PvzhD6e2tjYVFRUt+yoqKj5QlOrUqVM++tGPJkkOOeSQPPnkk/nGN76Rz33uc1m7dm1WrFjR6m6pZcuWpba2NklSW1ubefPmtTre+t/Ot37Nxlx22WWpr69vebxq1ar069cvI0aMSHV19WbP3lY9sGjZphfBxjQ1pfKFBWnac3BSKW/ywY3+WM2mFwEfWGNjY2bMmJHhw4enqqqq3OMA8F9cn+Fd6z+BtikliVJf+cpXct111+XSSy8txeFaWbduXRoaGnLIIYekqqoqM2fOzJgxY5IkCxcuzOLFi1NXV5ckqaury3XXXZfly5enT58+Sd4t1NXV1Rk4cOD7nqNz587p3LnzBturqqrax4VETGBrVVZ6H7FF2sU1FNqwdvNvFYB2xvWZHd3mvv9LEqXeeOONnHzyyVt9nMsuuyzHH398+vfvnzfffDN33nlnZs2alUceeSQ9evTIWWedlfr6+vTq1SvV1dW54IILUldXl6FDhyZJRowYkYEDB+a0007LjTfemKVLl+byyy/P+PHjNxqdAAAAACiPkkSpk08+OdOnT8955523VcdZvnx5Tj/99CxZsiQ9evTIoEGD8sgjj2T48OFJkptvvjkdOnTImDFj0tDQkJEjR+bWW29teX5lZWUefPDBnH/++amrq8vOO++ccePG5ZprrtmquQAAAAAorZJEqY9+9KO54oorMnfu3Bx44IEb3Kb1xS9+cbOOM2XKlL+7v0uXLpk8eXImT578vmsGDBiQhx9+eLPOBwAAAEB5lCRKffe73023bt0ye/bsDX5TXkVFxWZHKQAAAAB2DCWJUi+++GIpDgMAAADADqJDuQcAAAAAYMdTkjulzjzzzL+7//vf/34pTgMAAABAO1GSKPXGG2+0etzY2JhnnnkmK1asyDHHHFOKUwAAAADQjpQkSt17770bbFu3bl3OP//87LXXXqU4BQAAAADtyDb7TqkOHTqkvr4+N99887Y6BQAAAADbqW36RefPP/983nnnnW15CgAAAAC2QyX5+F59fX2rx83NzVmyZEkeeuihjBs3rhSnAAAAAKAdKUmU+o//+I9Wjzt06JBddtklN9100yZ/Mx8AAAAAO56SRKlf/OIXpTgMAAAAADuIkkSp9V599dUsXLgwSbLPPvtkl112KeXhAQAAAGgnSvJF52vWrMmZZ56ZXXfdNUceeWSOPPLI9O3bN2eddVbeeuutUpwCAAAAgHakJFGqvr4+s2fPzgMPPJAVK1ZkxYoVuf/++zN79uxcdNFFpTgFAAAAAO1IST6+93//7//NPffck6OOOqpl26c+9anstNNO+exnP5vbbrutFKcBAAAAoJ0oyZ1Sb731VmpqajbY3qdPHx/fAwAAAGADJYlSdXV1ueqqq/L222+3bPt//+//ZdKkSamrqyvFKQAAAABoR0ry8b1vfOMbGTlyZHbbbbccdNBBSZLf/va36dKlSx555JFSnAIAAACAdqQkUeqAAw7IokWL8sMf/jB/+MMfkiSnnnpqxo4dm5122qkUpwAAAACgHSlJlEqSrl275pxzzinV4QAAAABox7bqO6Xmz5+fo48+OqtWrdpg38qVK3P00Ufnt7/97dacAgAAAIB2aKui1E033ZRjjjkm1dXVG+zr0aNHhg8fnq9//etbcwoAAAAA2qGtilJPPPFETjjhhPfdP3r06Dz++ONbcwoAAAAA2qGtilIvv/xyunfv/r77u3XrliVLlmzNKQAAAABoh7YqSu2yyy5ZuHDh++7/wx/+kA9/+MNbcwoAAAAA2qGtilLDhg3Lddddt9F9zc3Nue666zJs2LCtOQUAAAAA7VDHrXny5ZdfnkMOOSRDhgzJRRddlH322SfJu3dI3XTTTfnjH/+YadOmlWJOAAAAANqRrYpSe+21Vx599NF84QtfyCmnnJKKiook794lNXDgwMyYMSMf/ehHSzIoAAAAAO3HVkWpJDn00EPzzDPPZMGCBVm0aFGam5uz9957Z/DgwSUYDwAAAID2aKuj1HqDBw8WogAAAADYLFv1RecAAAAAsCVEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCleyLzlesWJF58+Zl+fLlWbduXat9p59+eqlOAwAAAEA7UJIo9cADD2Ts2LFZvXp1qqurU1FR0bKvoqJClAIAAACglZJ8fO+iiy7KmWeemdWrV2fFihV54403Wv68/vrrpTgFAAAAAO1ISaLUyy+/nC9+8Yvp2rVrKQ4HAAAAQDtXkig1cuTI/OY3vynFoQAAAADYAZTkO6VGjRqVSy65JM8991wOPPDAVFVVtdr/mc98phSnAQAAAKCdKEmUOuecc5Ik11xzzQb7Kioq0tTUVIrTAAAAANBOlCRKrVu3rhSHAQAAAGAHUZLvlHqvt99+u9SHBAAAAKCdKUmUampqyrXXXpuPfOQj6datW1544YUkyRVXXJEpU6aU4hQAAAAAtCMliVLXXXddpk2blhtvvDGdOnVq2X7AAQfkX/7lX0pxCgAAAADakZJEqTvuuCPf/e53M3bs2FRWVrZsP+igg/KHP/yhFKcAAAAAoB0pSZR6+eWX89GPfnSD7evWrUtjY2MpTgEAAABAO1KSKDVw4MD88pe/3GD7Pffck4MPPrgUpwAAAACgHelYioNceeWVGTduXF5++eWsW7cuP/nJT7Jw4cLccccdefDBB0txCgAAAADakZLcKXXCCSfkgQceyKOPPpqdd945V155ZX7/+9/ngQceyPDhw0txCgAAAADakZLcKfXSSy/liCOOyIwZMzbYN3fu3AwdOrQUpwEAAACgnSjJnVIjRozI66+/vsH2X//61znuuONKcQoAAAAA2pGSRKmhQ4dmxIgRefPNN1u2PfbYY/nUpz6Vq666qhSnAAAAAKAdKUmU+pd/+Zf0798/o0ePTkNDQ37xi19k1KhRueaaazJx4sRSnAIAAACAdqQkUapDhw656667UlVVlWOOOSaf+cxncsMNN+RLX/pSKQ4PAAAAQDuzxV90/vTTT2+w7eqrr86pp56az3/+8znyyCNb1gwaNGjLJwQAAACg3dniKDV48OBUVFSkubm5Zdv6x//8z/+c7373u2lubk5FRUWamppKMiwAAAAA7cMWR6kXX3yxlHMAAAAAsAPZ4ig1YMCAUs4BAAAAwA5ki6PU33r++edzyy235Pe//32SZODAgfnSl76Uvfbaq1SnAAAAAKCdKMlv33vkkUcycODAzJs3L4MGDcqgQYPyxBNPZP/998+MGTNKcQoAAAAA2pGS3Cn15S9/ORMnTsxXv/rVDbZfeumlGT58eClOAwAAAEA7UZI7pX7/+9/nrLPO2mD7mWeemeeee64UpwAAAACgHSlJlNpll12yYMGCDbYvWLAgffr0KcUpAAAAAGhHturje9dcc00uvvjinHPOOTn33HPzwgsv5LDDDkuS/PrXv87Xvva11NfXl2RQAAAAANqPrYpSkyZNynnnnZcrrrgi3bt3z0033ZTLLrssSdK3b99cffXV+eIXv1iSQQEAAABoP7YqSjU3NydJKioqMnHixEycODFvvvlmkqR79+5bPx0AAAAA7dJW//a9ioqKVo/FKAAAAAA2Zauj1N57771BmPpbr7/++taeBgAAAIB2ZKuj1KRJk9KjR49SzAIAAADADmKro9Qpp5ySPn36lGIWAAAAAHYQHbbmyZv62B4AAAAAbMxWRan1v30PAAAAAD6Irfr43rp160o1BwAAAAA7kK26UwoAAAAAtoQoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAULg2FaVuuOGGfPzjH0/37t3Tp0+fnHjiiVm4cGGrNW+//XbGjx+f3r17p1u3bhkzZkyWLVvWas3ixYszatSodO3aNX369Mkll1ySd955p8iXAgAAAMDf0aai1OzZszN+/PjMnTs3M2bMSGNjY0aMGJE1a9a0rJk4cWIeeOCB3H333Zk9e3ZeeeWVnHTSSS37m5qaMmrUqKxduzaPP/54br/99kybNi1XXnllOV4SAAAAABvRsdwDvNfPfvazVo+nTZuWPn36ZP78+TnyyCOzcuXKTJkyJXfeeWeOOeaYJMnUqVOz3377Ze7cuRk6dGimT5+e5557Lo8++mhqamoyePDgXHvttbn00ktz9dVXp1OnTuV4aQAAAAC8R5u6U+pvrVy5MknSq1evJMn8+fPT2NiYYcOGtazZd999079//8yZMydJMmfOnBx44IGpqalpWTNy5MisWrUqzz77bIHTAwAAAPB+2tSdUu+1bt26XHjhhfnkJz+ZAw44IEmydOnSdOrUKT179my1tqamJkuXLm1Z894gtX7/+n0b09DQkIaGhpbHq1atSpI0NjamsbGxJK+nrJqayj0B26v17x3vIbZQu7iGQhu0/mfLzxhA2+L6DO/a3J+BNhulxo8fn2eeeSa/+tWvtvm5brjhhkyaNGmD7dOnT0/Xrl23+fm3tcpyD8B2r/KFBeUege3Uw4vKPQG0bzNmzCj3CABshOszO7q33nprs9a1ySg1YcKEPPjgg3nsscey2267tWyvra3N2rVrs2LFilZ3Sy1btiy1tbUta+bNm9fqeOt/O9/6NX/rsssuS319fcvjVatWpV+/fhkxYkSqq6tL9bLK5oFFyza9CDamqSmVLyxI056Dk0p5kw9u9MdqNr0I+MAaGxszY8aMDB8+PFVVVeUeB4D/4voM71r/CbRNaVNRqrm5ORdccEHuvffezJo1K3vssUer/Yccckiqqqoyc+bMjBkzJkmycOHCLF68OHV1dUmSurq6XHfddVm+fHn69OmT5N1KXV1dnYEDB270vJ07d07nzp032F5VVdU+LiRiAlurstL7iC3SLq6h0Ia1m3+rALQzrs/s6Db3/d+motT48eNz55135v7770/37t1bvgOqR48e2WmnndKjR4+cddZZqa+vT69evVJdXZ0LLrggdXV1GTp0aJJkxIgRGThwYE477bTceOONWbp0aS6//PKMHz9+o+EJAAAAgOK1qSh12223JUmOOuqoVtunTp2aL3zhC0mSm2++OR06dMiYMWPS0NCQkSNH5tZbb21ZW1lZmQcffDDnn39+6urqsvPOO2fcuHG55pprinoZAAAAAGxCm4pSzc3Nm1zTpUuXTJ48OZMnT37fNQMGDMjDDz9cytEAAAAAKKEO5R4AAAAAgB2PKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAQBvw2GOPZfTo0enbt28qKipy3333tdr/hS98IRUVFamoqEinTp1y4okn5tOf/nTL/lmzZrXs/9s/Tz75ZMGvBgBg00QpAIA2YM2aNTnooIMyefLk911z3HHHZcmSJVm8eHGmTp2af/3Xf23Zd9hhh2XJkiWt/px99tnZY489cuihhxbxEgAAPpCO5R4AAIDk+OOPz/HHH/9313Tu3Dm1tbVpbGzMhz70oXzoQx9q2depU6fU1ta2PG5sbMz999+fCy64IBUVFdtsbgCALSVKAQBsJ2bNmpU+ffqkZ8+e2WuvvTJkyJBWIeq9fvrTn+a1117LGWecUfCUAACbR5QCANgOHHfccTnppJOyxx57ZOHChZk4cWJGjx6duXPnprKycoP1U6ZMyciRI7PbbruVYVoAgE0TpQAAtgOnnHJKy9/33XffvPbaaznvvPMya9asHHvssa3WvvTSS3nkkUfy4x//uOgxAQA2my86BwDYDtXW1ubDH/5w/vSnP22wb+rUqendu3c+85nPlGEyAIDNI0oBAGyH/vrXv+a1117Lrrvu2mp7c3Nzpk6dmtNPPz1VVVVlmg4AYNN8fA8AoA1YvXp1q7ueXnzxxSxYsCC9evVKr169MmnSpIwZMya1tbVZuHBhrr/++uy1114ZOXJkq+P8/Oc/z4svvpizzz676JcAAPCBiFIAAG3Ab37zmxx99NEtj+vr65Mk48aNy2233Zann346t99+e1asWJG+fftm7733zve///107ty51XGmTJmSww47LPvuu2+h8wMAfFCiFABAG3DUUUelubn5ffc/8sgjLX9vbGzMww8/nJqamg3W3XnnndtkPgCAUvOdUgAAAAAUTpQCAAAAoHA+vgcAZfKThUvKPQLbq6amVCZ5YNGypLKy3NOwHTppn103vQgAtjF3SgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMK1uSj12GOPZfTo0enbt28qKipy3333tdrf3NycK6+8Mrvuumt22mmnDBs2LIsWLWq15vXXX8/YsWNTXV2dnj175qyzzsrq1asLfBUAAAAA/D1tLkqtWbMmBx10UCZPnrzR/TfeeGO++c1v5jvf+U6eeOKJ7Lzzzhk5cmTefvvtljVjx47Ns88+mxkzZuTBBx/MY489lnPPPbeolwAAAADAJnQs9wB/6/jjj8/xxx+/0X3Nzc255ZZbcvnll+eEE05Iktxxxx2pqanJfffdl1NOOSW///3v87Of/SxPPvlkDj300CTJt771rXzqU5/KP/7jP6Zv376FvRYAAAAANq7NRam/58UXX8zSpUszbNiwlm09evTIkCFDMmfOnJxyyimZM2dOevbs2RKkkmTYsGHp0KFDnnjiifyP//E/NjhuQ0NDGhoaWh6vWrUqSdLY2JjGxsZt+IoK0tRU7gnYXq1/73gPsYXaxTV0W/KzxZZyfWYruT7DtrH+Z8vPGDu6zf0Z2K6i1NKlS5MkNTU1rbbX1NS07Fu6dGn69OnTan/Hjh3Tq1evljV/64YbbsikSZM22D59+vR07dq1FKOXVWW5B2C7V/nCgnKPwHbq4UWbXrMjc31ma7k+s6Vcn2HbmjFjRrlHgLJ66623NmvddhWltpXLLrss9fX1LY9XrVqVfv36ZcSIEamuri7jZKXxwKJl5R6B7VVTUypfWJCmPQcnlf7zmQ9u9MdqNr1oB+b6zBZzfWYruT7DttHY2JgZM2Zk+PDhqaqqKvc4UDbrP4G2KdtVlKqtrU2SLFu2LLvuumvL9mXLlmXw4MEta5YvX97qee+8805ef/31luf/rc6dO6dz584bbK+qqmofFxL/WGVrVVZ6H7FF2sU1dFvyc8XWcn1mC7k+w7bVbv5bErbQ5r7/29xv3/t79thjj9TW1mbmzJkt21atWpUnnngidXV1SZK6urqsWLEi8+fPb1nz85//POvWrcuQIUMKnxkAAACADbW5O6VWr16dP/3pTy2PX3zxxSxYsCC9evVK//79c+GFF+YrX/lKPvaxj2WPPfbIFVdckb59++bEE09Mkuy333457rjjcs455+Q73/lOGhsbM2HChJxyyil+8x4AAABAG9HmotRvfvObHH300S2P13/X07hx4zJt2rT8r//1v7JmzZqce+65WbFiRQ4//PD87Gc/S5cuXVqe88Mf/jATJkzIsccemw4dOmTMmDH55je/WfhrAQAAAGDj2lyUOuqoo9Lc3Py++ysqKnLNNdfkmmuued81vXr1yp133rktxgMAAACgBLar75QCAAAAoH0QpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAACAD+jll1/O5z//+fTu3Ts77bRTDjzwwMyfP3+ja88777xUVFTklltuKXZIaOM6lnsAAAAA2J688cYb+eQnP5mjjz46//7v/55ddtklixYtSs+ePbNs2bJWa++9997MnTs3ffv2LdO00HaJUgAAAPABfO1rX0u/fv0yderUlm177LFHGhsbs3DhwpZtL7/8ci644II88sgjGTVqVDlGhTbNx/cAAADgA/jpT3+aQw89NCeffHL69OmTgw8+ON/73vdarVm3bl1OO+20XHLJJdl///3LNCm0baIUAAAAfAAvvPBCbrvttnzsYx/LI488kvPPPz9f/OIXc8cdd7Ss+drXvpaOHTvmi1/8YhknhbbNx/cAAADgA1i3bl0OPfTQXH/99UmSgw8+OM8880y+973v5bLLLstTTz2Vb3zjG3nqqadSUVFR5mmh7XKnFAAAAHwAu+66awYOHNhq23777Ze//OUvSZJf/epXWb58efr375+OHTumY8eO+c///M9cdNFF2X333cswMbRN7pQCAACAD+CTn/xkqy80T5I//vGP6d+/f5Jk7NixGTlyZKv9I0eOzGmnnZYzzjijsDmhrROlAAAA4AOYOHFiDjvssFx//fX57Gc/m3nz5uW73/1ubr311iRJ7969U1tb2+o5VVVVqa2tzT777FOOkaFN8vE9AAAA+AA+/vGP5957782//du/5YADDsi1116bW265Jf/zf/7Pco8G2xV3SgEAAMAH9OlPfzqf/vSnW21rbGx83/V//vOft/FEsP1xpxQAAAAAhROlAAAAACicj+8BAAC8x08WLin3CGyvmppSmeSBRcuSyspyT8N26qR9di33CIVxpxQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFE6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAonCgFAAAAQOFEKQAAAAAKJ0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAAABQOFEKAAAAgMKJUgAAAAAUTpQCAAAAoHCiFAAAAACFa9dRavLkydl9993TpUuXDBkyJPPmzSv3SAAAAACkHUepH/3oR6mvr89VV12Vp556KgcddFBGjhyZ5cuXl3s0AAAAgB1eu41S//RP/5RzzjknZ5xxRgYOHJjvfOc76dq1a77//e+XezQAAACAHV67jFJr167N/PnzM2zYsJZtHTp0yLBhwzJnzpwyTgYAAABAknQs9wDbwl//+tc0NTWlpqam1faampr84Q9/2GB9Q0NDGhoaWh6vXLkySfL666+nsbFx2w5bgLdWrij3CGyvmppS+dZbaVq5IqmsLPc0bIdee61TuUdo01yf2WKuz2wl1+e/z/WZLeb6TAm0h2v0m2++mSRpbm7+u+vaZZT6oG644YZMmjRpg+177LFHGaYBAAAA2P69+eab6dGjx/vub5dR6sMf/nAqKyuzbNmyVtuXLVuW2traDdZfdtllqa+vb3m8bt26vP766+ndu3cqKiq2+bzQVq1atSr9+vXLX/7yl1RXV5d7HAD+i+szQNvk+gzvam5uzptvvpm+ffv+3XXtMkp16tQphxxySGbOnJkTTzwxybuhaebMmZkwYcIG6zt37pzOnTu32tazZ88CJoXtQ3V1tf9RBWiDXJ8B2ibXZ8jfvUNqvXYZpZKkvr4+48aNy6GHHppPfOITueWWW7JmzZqcccYZ5R4NAAAAYIfXbqPU5z73ubz66qu58sors3Tp0gwePDg/+9nPNvjycwAAAACK126jVJJMmDBhox/XAzZP586dc9VVV23w8VYAysv1GaBtcn2GD6aieVO/nw8AAAAASqxDuQcAAAAAYMcjSgEAAABQOFEKAAAAgMKJUsBGTZ48Obvvvnu6dOmSIUOGZN68eeUeCWCH99hjj2X06NHp27dvKioqct9995V7JACS3HDDDfn4xz+e7t27p0+fPjnxxBOzcOHCco8FbZ4oBWzgRz/6Uerr63PVVVflqaeeykEHHZSRI0dm+fLl5R4NYIe2Zs2aHHTQQZk8eXK5RwHgPWbPnp3x48dn7ty5mTFjRhobGzNixIisWbOm3KNBm+a37wEbGDJkSD7+8Y/n29/+dpJk3bp16devXy644IJ8+ctfLvN0ACRJRUVF7r333px44onlHgWAv/Hqq6+mT58+mT17do488shyjwNtljulgFbWrl2b+fPnZ9iwYS3bOnTokGHDhmXOnDllnAwAALYPK1euTJL06tWrzJNA2yZKAa389a9/TVNTU2pqalptr6mpydKlS8s0FQAAbB/WrVuXCy+8MJ/85CdzwAEHlHscaNM6lnsAAAAAaC/Gjx+fZ555Jr/61a/KPQq0eaIU0MqHP/zhVFZWZtmyZa22L1u2LLW1tWWaCgAA2r4JEybkwQcfzGOPPZbddtut3ONAm+fje0ArnTp1yiGHHJKZM2e2bFu3bl1mzpyZurq6Mk4GAABtU3NzcyZMmJB77703P//5z7PHHnuUeyTYLrhTCthAfX19xo0bl0MPPTSf+MQncsstt2TNmjU544wzyj0awA5t9erV+dOf/tTy+MUXX8yCBQvSq1ev9O/fv4yTAezYxo8fnzvvvDP3339/unfv3vJdrD169MhOO+1U5umg7apobm5uLvcQQNvz7W9/O1//+tezdOnSDB48ON/85jczZMiQco8FsEObNWtWjj766A22jxs3LtOmTSt+IACSJBUVFRvdPnXq1HzhC18odhjYjohSAAAAABTOd0oBAAAAUDhRCgAAAIDCiVIAAAAAFE6UAgAAAKBwohQAAAAAhROlAAAAACicKAUAAABA4UQpAAAAAAonSgEAFOTPf/5zKioqsmDBgiTJrFmzUlFRkRUrVpRlnqOOOioXXnhhWc4NACBKAQBshldffTXnn39++vfvn86dO6e2tjYjR47Mr3/96y0+5mGHHZYlS5akR48eSZJp06alZ8+em3ze5q4DAGjLOpZ7AACA7cGYMWOydu3a3H777dlzzz2zbNmyzJw5M6+99toWH7NTp06pra0t4ZQAANsPd0oBAGzCihUr8stf/jJf+9rXcvTRR2fAgAH5xCc+kcsuuyyf+cxnWtZVVFTktttuy/HHH5+ddtope+65Z+655573Pe57P743a9asnHHGGVm5cmUqKipSUVGRq6++erPmu/rqqzN48OD867/+a3bffff06NEjp5xySt58882WNWvWrMnpp5+ebt26Zdddd81NN920wXEaGhpy8cUX5yMf+Uh23nnnDBkyJLNmzUqSvP3229l///1z7rnntqx//vnn071793z/+9/frDkBAN5LlAIA2IRu3bqlW7duue+++9LQ0PB3115xxRUZM2ZMfvvb32bs2LE55ZRT8vvf/36T5zjssMNyyy23pLq6OkuWLMmSJUty8cUXb/aMzz//fO677748+OCDefDBBzN79ux89atfbdl/ySWXZPbs2bn//vszffr0zJo1K0899VSrY0yYMCFz5szJXXfdlaeffjonn3xyjjvuuCxatChdunTJD3/4w9x+++25//7709TUlM9//vMZPnx4zjzzzM2eEwBgPVEKAGATOnbsmGnTpuX2229Pz54988lPfjL/+3//7zz99NMbrD355JNz9tlnZ++99861116bQw89NN/61rc2eY5OnTqlR48eqaioSG1tbWpra9OtW7fNnnHdunWZNm1aDjjggBxxxBE57bTTMnPmzCTJ6tWrM2XKlPzjP/5jjj322Bx44IG5/fbb884777Q8f/HixZk6dWruvvvuHHHEEdlrr71y8cUX5/DDD8/UqVOTJIMHD85XvvKVnH322bnwwgvzn//5n/ne97632TMCALyXKAUAsBnGjBmTV155JT/96U9z3HHHZdasWfmHf/iHTJs2rdW6urq6DR5vzp1SW2v33XdP9+7dWx7vuuuuWb58eZJ376Jau3ZthgwZ0rK/V69e2WeffVoe/+53v0tTU1P23nvvljvDunXrltmzZ+f5559vWXfRRRdl7733zre//e18//vfT+/evbf5awMA2idfdA4AsJm6dOmS4cOHZ/jw4bniiity9tln56qrrsoXvvCFco+WqqqqVo8rKiqybt26zX7+6tWrU1lZmfnz56eysrLVvvfesbV8+fL88Y9/TGVlZRYtWpTjjjtu6wYHAHZY7pQCANhCAwcOzJo1a1ptmzt37gaP99tvv806XqdOndLU1FSy+dbba6+9UlVVlSeeeKJl2xtvvJE//vGPLY8PPvjgNDU1Zfny5fnoRz/a6s97f0PgmWee2fLxv0svvbSQu8AAgPbJnVIAAJvw2muv5eSTT86ZZ56ZQYMGpXv37vnNb36TG2+8MSeccEKrtXfffXcOPfTQHH744fnhD3+YefPmZcqUKZt1nt133z2rV6/OzJkzc9BBB6Vr167p2rXrVs/frVu3nHXWWbnkkkvSu3fv9OnTJ//n//yfdOjw3///5N57752xY8fm9NNPz0033ZSDDz44r776ambOnJlBgwZl1KhRmTx5cubMmZOnn346/fr1y0MPPZSxY8dm7ty56dSp01bPCQDsWNwpBQCwCd26dcuQIUNy880358gjj8wBBxyQK664Iuecc06+/e1vt1o7adKk3HXXXRk0aFDuuOOO/Nu//VsGDhy4Wec57LDDct555+Vzn/tcdtlll9x4440lew1f//rXc8QRR2T06NEZNmxYDj/88BxyyCGt1kydOjWnn356Lrroouyzzz458cQT8+STT6Z///75wx/+kEsuuSS33npr+vXrlyS59dZb89e//jVXXHFFyeYEAHYcFc3Nzc3lHgIAoD2oqKjIvffemxNPPLHcowAAtHnulAIAAACgcKIUAAAAAIXzRecAACXiWxEAADafO6UAAAAAKJwoBQAAAEDhRCkAAAAACidKAQAAAFA4UQoAAACAwolSAAAAABROlAIAAACgcKIUAAAAAIUTpQAAAAAo3P8H1QQxvfCVsYsAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['Exploring the structure of financial reports is an exceptional area for es- tablishing optimal principles for chunking. The intricate nature of document structures and contents has resulted in most of the work processing financial reports focusing on the identification of structural elements. Among previous work, we find El-Haj et al. [10] and the FinTOC challenges [17,4,11] that have worked at the document structure level for UK and French financial reports. Ad-', '3 https://www.cnbc.com/2023/12/19/gpt-and-other-ai-models-cant-analyze- an-sec-filing-researchers-find.html', 'ditionally, there is recent work that considers U.S. SEC reports, which includes DocLayNet [33] and more specifically with the report tables in FinTabNet [45]. On the side of financial models, there is work in sentiment analysis in fi- nance [37], which includes the pre-training of specialised models such as Fin- BERT by Liu et al. [26], which is a BERT based model pre-trained on large corpora including large collections of financial news collected from different sites and FinBERT by DeSola et al, [9] trained on Wikipedia, BookCorpus and U.S. SEC data. Additional models include BloombergGPT [40], FinGPT [42] and Instruct-FinGPT[44].', 'More advance datasets in the financial domain include FinQA [6], LLMWare [27], ConFIRM [8] and TAT-QA [46] among others [7,38,19] that have been prepared for retrieval and or Questions and Answering (Q&A) tasks over snippets of fi- nancial data that includes tabular data, which has allowed methods on large language models to be tested on them [39].', 'Most of the previous work has focused on understanding the layout of fi- nancial documents or understanding specific snippets of existing reports with different levels of complexity, but there has not been much research in under- standing financial report documents, except some more recent work that includes FinanceBench [14], in which a set of questions about the content of financial re- ports are proposed that includes the evidence snippet.', 'More specifically on document chunking methods for RAG, there are stan- dard approaches being considered such as chunking text into spans of a given token length (e.g. 128 and 256) or chunking based on sentences. Open source projects already allow simple processing of documents (e.g. Unstructured4, Lla- maindex5 or Langchain 6), without explicitly considering the table structure on which these chunking strategies are applied.', 'Even though different approaches are available, an exhaustive evaluation of chunking applied to RAG and specifically to financial reporting, except for some limited chunking analysis [14,36], is non-existent. In our work, we compare a broad range of chunking approaches in addition to more simple ones and provide an analysis of the outcomes of different methods when asking questions about different aspects of the reports.']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:21 INFO semantic_router.utils.logger Optimal threshold 0.8371609601655312 found with median tokens (199.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:21 INFO semantic_router.utils.logger Splitting Statistics:\n",
-      "  - Total Splits: 3\n",
-      "  - Splits by Threshold: 2\n",
+      "\u001b[32m2024-02-26 17:07:34 INFO semantic_router.utils.logger Optimal threshold 0.8371609601655312 found with median tokens (154.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:34 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 7\n",
+      "  - Total Splits: 4\n",
+      "  - Splits by Threshold: 3\n",
       "  - Splits by Max Chunk Size: 0\n",
       "  - Last Split: 1\n",
-      "  - Minimum Token Size of Split: 146\n",
+      "  - Minimum Token Size of Split: 37\n",
       "  - Maximum Token Size of Split: 362\n",
-      "  - Similarity Split Ratio: 0.67\u001b[0m\n"
+      "  - Similarity Split Ratio: 0.75\u001b[0m\n"
      ]
     },
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['Financial Report Chunking for Effective Retrieval Augmented Generation', 'document, the document is split into chunks and the chunks are indexed into a vector database (vectordb). When a question is sent to the RAG system, the top-k chunks most similar to the question are retrieved from the vector database and used to generate the answer using a large language model as generator. In order to retrieve chunks from the vector database, the question is encoded into a vector that is compared to the vector previously generated from the chunks. To prompt the generator, the question is converted into a set of instructions that instruct the LLM to find the answer within the top-k retrieved chunks.', 'question vectordb top k question vector chunks encoder v | generator —+ answer * question to prompt + rome', 'Fig. 1. RAG steps to answer a question about a document', 'In our experiments, we modify the way documents are chunked prior to being indexed in the vector database. All other settings remain constant. In the following sections, we describe in more detail each one of the components and processes used.']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:22 INFO semantic_router.utils.logger Optimal threshold 0.8004077245399883 found with median tokens (46.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:22 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:34 INFO semantic_router.utils.logger Optimal threshold 0.8004127909380481 found with median tokens (46.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:34 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 5\n",
       "  - Total Splits: 3\n",
       "  - Splits by Threshold: 2\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -455,30 +407,20 @@
       "  - Similarity Split Ratio: 0.67\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['As shown in figure 2, to index a document, first the document is split into chunks, then each chunk is processed by an encoder model and then indexed into the vector database. Based on the chunking strategy a document will be split into a larger or smaller set of chunks.', 'chunks vectors', 'Fig. 2. Indexing of document chunks into the vector database', 'ttps://huggingface. co/sentence-transformers/multi-qa-mpnet-base-dot-', '6 Jimeno Yepes et al.', 'As shown in figure 1, to retrieve chunks relevant to a question, the question is converted into a vector representation and the vector database returns a ranked list of chunks based on the similarity between question vector and the chunks in the database. Weaviate implements an approximate nearest neighbours algo- rithm [28] as their retrieval approach, which supports fast retrieval with high accuracy. In our experiments, we retrieve the top-10 chunks for each question.']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:23 INFO semantic_router.utils.logger Optimal threshold 0.7219220831968602 found with median tokens (94.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:23 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:35 INFO semantic_router.utils.logger Optimal threshold 0.7219220831968602 found with median tokens (94.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:35 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 6\n",
       "  - Total Splits: 3\n",
       "  - Splits by Threshold: 2\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -488,30 +430,20 @@
       "  - Similarity Split Ratio: 0.67\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['We have used GPT-4 [31] as the generator, which has shown best performance compared to earlier versions. As well, its performance was better compared to existing open source alternatives [22] such as Mixtral [16]. We used the prompt presented in figure 3 that we designed on another similar RAG implementation with different document types. The prompt conditions the answer to the query and the chunks, referred to as source, and if the generator cannot answer it should return No answer.', 'please answer the question below by referencing the list of sources provided after the question; if the question can not be answered just respond ’No answer’. The sources are listed after \"Sources:\".  Question: {query}  Sources: {key} - {source} ... ', 'Sources: {key} - {source} ...', 'Fig. 3. Example prompt template used by the generator']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:24 INFO semantic_router.utils.logger Optimal threshold 0.7865543500746407 found with median tokens (92.5) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:24 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:35 INFO semantic_router.utils.logger Optimal threshold 0.7865543500746407 found with median tokens (92.5) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:35 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 4\n",
       "  - Total Splits: 2\n",
       "  - Splits by Threshold: 1\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -521,30 +453,20 @@
       "  - Similarity Split Ratio: 0.50\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['In addition to chunking based on the number of tokens, we have processed the documents using computer vision and natural language processing to extract elements identified in the reports. The list of elements considered are provided by the Unstructured9 open source library. From the set of processing strategies, 9 https://unstructured-io.github.io/unstructured/introduction.html#', 'elements', 'Financial Report Chunking for Effective Retrieval Augmented Generation', 'we use Chipper, a vision encoder decoder10 model inspired by Donut [20] to showcase the performance difference. The Chipper model outputs results as a JSON representation of the document, listing elements per page characterized by their element type. Additionally, Chipper provides a bounding box enclosing each element on the page and the corresponding element text.', 'These elements are sometimes short to be considered as chunks, so to gen- erate chunks from elements the following steps have been followed. Given the structure of finance reporting documents, our structural chunking efforts are con- centrated on processing titles, texts, and tables. The steps to generate element- based chunks are:', '– if the element text length is smaller than 2,048 characters, a merge with the following element is attempted', '– iteratively, element texts are merged following the step above till either the desired length is achieved, without breaking the element', '– if a title element is found, a new chunk is started – if a table element is found, a new chunk is started, preserving the entire table', 'After element-based chunks have been derived, three types of metadata are generated to enrich the content and support efficient indexing. The first two types, generated via predefined prompt templates with GPT-4, include: 1) up to 6 representative keywords of the composite chunk 2) a summarised paragraph of the composite chunk. The third type is 3) Naive representation using the first two sentences from a composite chunk (a kind of prefix) and in the case of tables, the description of the table, which is typically identified in the table caption.']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:25 INFO semantic_router.utils.logger Optimal threshold 0.7759885849518695 found with median tokens (73.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:25 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:36 INFO semantic_router.utils.logger Optimal threshold 0.7759885849518695 found with median tokens (73.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:36 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 9\n",
       "  - Total Splits: 5\n",
       "  - Splits by Threshold: 4\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -554,16 +476,6 @@
       "  - Similarity Split Ratio: 0.80\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -575,8 +487,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:26 INFO semantic_router.utils.logger Optimal threshold 0.7356350410401438 found with median tokens (23.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:26 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:36 INFO semantic_router.utils.logger Optimal threshold 0.7356350410401438 found with median tokens (23.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:36 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 5\n",
       "  - Total Splits: 3\n",
       "  - Splits by Threshold: 2\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -586,30 +499,20 @@
       "  - Similarity Split Ratio: 0.67\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['in the document, that allows for a closer evaluation of the results. Based on the page number, evidence contexts are located in different areas in the documents, ranging from the first page in some cases up to page 304 in one instance. The mean page number to find the evidence is 54.58 with a standard deviation of 43.66, which shows that evidence contexts to answer the questions are spread within a document. These characteristics make FinanceBench a perfect dataset for evaluating RAG. An example instance is available in table 2.']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:26 INFO semantic_router.utils.logger Optimal threshold 0.7993056373716161 found with median tokens (14.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:26 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:37 INFO semantic_router.utils.logger Optimal threshold 0.7993056373716161 found with median tokens (14.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:37 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 5\n",
       "  - Total Splits: 3\n",
       "  - Splits by Threshold: 2\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -619,16 +522,6 @@
       "  - Similarity Split Ratio: 0.67\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -640,27 +533,18 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:27 INFO semantic_router.utils.logger Optimal threshold 0.7946781280578719 found with median tokens (209.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:27 INFO semantic_router.utils.logger Splitting Statistics:\n",
-      "  - Total Splits: 1\n",
-      "  - Splits by Threshold: 0\n",
+      "\u001b[32m2024-02-26 17:07:37 INFO semantic_router.utils.logger Optimal threshold 0.7946781280578719 found with median tokens (104.5) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:37 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 4\n",
+      "  - Total Splits: 2\n",
+      "  - Splits by Threshold: 1\n",
       "  - Splits by Max Chunk Size: 0\n",
       "  - Last Split: 1\n",
-      "  - Minimum Token Size of Split: 209\n",
-      "  - Maximum Token Size of Split: 209\n",
-      "  - Similarity Split Ratio: 0.00\u001b[0m\n"
+      "  - Minimum Token Size of Split: 87\n",
+      "  - Maximum Token Size of Split: 122\n",
+      "  - Similarity Split Ratio: 0.50\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -672,8 +556,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:28 INFO semantic_router.utils.logger Optimal threshold 0.7079124801171096 found with median tokens (15.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:28 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:38 INFO semantic_router.utils.logger Optimal threshold 0.7079124801171096 found with median tokens (15.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:38 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 2\n",
       "  - Total Splits: 1\n",
       "  - Splits by Threshold: 0\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -683,16 +568,6 @@
       "  - Similarity Split Ratio: 0.00\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -704,8 +579,9 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:29 INFO semantic_router.utils.logger Optimal threshold 0.8324383000723908 found with median tokens (110.5) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:29 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:38 INFO semantic_router.utils.logger Optimal threshold 0.8324466121743902 found with median tokens (110.5) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:38 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 12\n",
       "  - Total Splits: 6\n",
       "  - Splits by Threshold: 5\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -715,16 +591,6 @@
       "  - Similarity Split Ratio: 0.83\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -736,41 +602,32 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:29 INFO semantic_router.utils.logger Optimal threshold 0.8128022034342155 found with median tokens (33.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:29 INFO semantic_router.utils.logger Splitting Statistics:\n",
-      "  - Total Splits: 1\n",
-      "  - Splits by Threshold: 0\n",
+      "\u001b[32m2024-02-26 17:07:39 INFO semantic_router.utils.logger Optimal threshold 0.8128022034342155 found with median tokens (16.5) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:39 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 3\n",
+      "  - Total Splits: 2\n",
+      "  - Splits by Threshold: 1\n",
       "  - Splits by Max Chunk Size: 0\n",
       "  - Last Split: 1\n",
-      "  - Minimum Token Size of Split: 33\n",
-      "  - Maximum Token Size of Split: 33\n",
-      "  - Similarity Split Ratio: 0.00\u001b[0m\n"
+      "  - Minimum Token Size of Split: 4\n",
+      "  - Maximum Token Size of Split: 29\n",
+      "  - Similarity Split Ratio: 0.50\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['We have observed that using basic 512 chunking strategies produces results most similar to the Unstructured element-based approach, which may be due to the fact that 512 tokens share a similar length with the token size within our element-based chunks and capture a long context, but fail keep a coherent context in some cases, leaving out relevant information required for Q&A. This is further observed when considering the ROUGE and BLEU scores in table 4, where the chunk contexts for the baseline have lower scores.', 'These findings support existing research stating that the best basic chunk size varies from data to data [3]. These results show, as well, that our method adapts to different documents without tuning. Our method relies on the struc-', 'tural information that is present in the document’s layout to adjust the chunk size automatically.', 'We have evaluated aggregating the output of different chunking methods in the retrieval experiments as sown in table 4. Even though the aggregation seems to be effective for retrieval, the Q&A exceeded the GPT-4 token limit, which resulted in a non-effective Q&A solution using the selected model.', 'As well, we evaluated variations of the prompt used to generate the answers (see figure 3). Re-ordering the retrieval context and the question, but results were not statistically different. We experimented as well with variations of the verbs using in the prompt, e.g. changing referencing with using, which seemed to lower the quality of the answers generated. This shows that prompt engineering is a relevant factor in RAG.', 'We evaluated using GPT-4 for evaluation instead of relying on manual evalu- ation. In most cases, GPT-4 evaluated correctly but failed when a more elaborate answer is provided. As shown in figure 5, the answer is 39.7% while the estimated answer is 39.73% but with a detailed explanation of the calculation.', 'Question: ’What is Coca Cola’s FY2021 COGS % margin? Calculate what was asked by utilizing the line items clearly shown in the income statement.’?  Answer 1: ’39.7%’ Answer 2: ’From the income statement referenced on page 60 of COCACOLA_2021_10K_embedded.json, we can see that Coca Cola’s total revenue in FY2021 was $38,655 million and their cost of goods sold (COGS) was $15,357 million. To calculate the COGS % margin, we divide the COGS by the total revenue and multiply by 100: (15,357 / 38,655) * 100 = 39.73% So, Coca Cola’s FY2021 COGS % margin was approximately 39.73%.’ ', 'Fig. 5. Evaluation prompt template']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:30 INFO semantic_router.utils.logger Optimal threshold 0.786452236757286 found with median tokens (173.5) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:30 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:39 INFO semantic_router.utils.logger Optimal threshold 0.786452236757286 found with median tokens (173.5) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:39 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 8\n",
       "  - Total Splits: 4\n",
       "  - Splits by Threshold: 3\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -780,30 +637,20 @@
       "  - Similarity Split Ratio: 0.75\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['Financial Report Chunking for Effective Retrieval Augmented Generation', 'Furthermore, we would like to study the impact of RAG configuration and ele- ment type based chunking.']\n"
+      "--------------------------------------------------------------------------------\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m2024-02-26 13:24:31 INFO semantic_router.utils.logger Optimal threshold 0.8250029487527775 found with median tokens (41.0) in target range (1-500).\u001b[0m\n",
-      "\u001b[32m2024-02-26 13:24:31 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "\u001b[32m2024-02-26 17:07:40 INFO semantic_router.utils.logger Optimal threshold 0.8250029487527775 found with median tokens (41.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:40 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 2\n",
       "  - Total Splits: 1\n",
       "  - Splits by Threshold: 0\n",
       "  - Splits by Max Chunk Size: 0\n",
@@ -813,49 +660,29 @@
       "  - Similarity Split Ratio: 0.00\u001b[0m\n"
      ]
     },
-    {
-     "data": {
-      "image/png": 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-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--------------------------------------------------------------------------------\n",
-      "Combined Element Texts: ['2. Balaguer, A., Benara, V., de Freitas Cunha, R.L., de M. Estev˜ao Filho, R., Hendry, T., Holstein, D., Marsman, J., Mecklenburg, N., Malvar, S., Nunes, L.O., Padilha, R., Sharp, M., Silva, B., Sharma, S., Aski, V., Chandra, R.: Rag vs fine-tuning: Pipelines, tradeoffs, and a case study on agriculture (2024)', '3. Barnett, S., Kurniawan, S., Thudumu, S., Brannelly, Z., Abdelrazek, M.: Seven Failure Points When Engineering a Retrieval Augmented Generation System (2024)', '4. Bentabet, N.I., Juge, R., El Maarouf, I., Mouilleron, V., Valsamou-Stanislawski, D., El-Haj, M.: The financial document structure extraction shared task (fintoc 2020). In: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation. pp. 13–22 (2020)', '5. 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Zheng, X., Burdick, D., Popa, L., Zhong, X., Wang, N.X.R.: Global table extractor (gte): A framework for joint table identification and cell structure recognition using visual context. In: Proceedings of the IEEE/CVF winter conference on applications of computer vision. pp. 697–706 (2021)', '46. Zhu, F., Lei, W., Huang, Y., Wang, C., Zhang, S., Lv, J., Feng, F., Chua, T.S.: TAT-QA: A question answering benchmark on a hybrid of tabular and textual content in finance. arXiv preprint arXiv:2105.07624 (2021)']\n"
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-      "\u001b[32m2024-02-26 13:24:32 INFO semantic_router.utils.logger Splitting Statistics:\n",
-      "  - Total Splits: 22\n",
-      "  - Splits by Threshold: 21\n",
+      "\u001b[32m2024-02-26 17:07:41 INFO semantic_router.utils.logger Optimal threshold 0.8086076732442027 found with median tokens (108.0) in target range (1-500).\u001b[0m\n",
+      "\u001b[32m2024-02-26 17:07:41 INFO semantic_router.utils.logger Splitting Statistics:\n",
+      "  - Total Documents: 45\n",
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+      "  - Splits by Threshold: 22\n",
       "  - Splits by Max Chunk Size: 0\n",
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       "  - Minimum Token Size of Split: 4\n",
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-      "text/plain": [
-       "<Figure size 1200x1200 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -870,13 +697,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<h3 style='color: black;'>Untitled</h3><p style='color: red;'>2 v 1 3 1 5 0 . 2 0 4 2 : v i X r a</p><h3 style='color: black;'>Financial Report Chunking for Effective Retrieval Augmented Generation</h3><p style='color: green;'>Unstructured Technologies Sacramento, CA, USA leah@unstructured.io https://unstructured.io Abstract. Chunking information is a key step in Retrieval Augmented Generation (RAG). Current research primarily centers on paragraph- level chunking. This approach treats all texts as equal and neglects the information contained in the structure of documents. We propose an expanded approach to chunk documents by moving beyond mere paragraph-level chunking to chunk primary by structural element com- ponents of documents. Dissecting documents into these constituent ele- ments creates a new way to chunk documents that yields the best chunk size without tuning. We introduce a novel framework that evaluates how chunking based on element types annotated by document understanding models contributes to the overall context and accuracy of the informa- tion retrieved. We also demonstrate how this approach impacts RAG assisted Question & Answer task performance. Our research includes a comprehensive analysis of various element types, their role in effective information retrieval, and the impact they have on the quality of RAG outputs. Findings support that element type based chunking largely im- prove RAG results on financial reporting. Through this research, we are also able to answer how to uncover highly accurate RAG. Keywords: Retrieval Augmented Generation · Document Chunking · Document Pre-Processing · Financial Domain · Large Language Models</p><h3 style='color: black;'>Introduction</h3><p style='color: blue;'>contents of extensive documents [25,22,18]. By dissecting large volumes of text into smaller, more focused segments, LLMs can process each part with greater precision, ensuring a thorough understanding of each section. This segmented approach allows for meticulous analysis of unstructured data, enabling LLMs to construct a more comprehensive and coherent understanding of the entire docu- ment [41]. There remains a challenge in ensuring factual accuracy and relevance in the generated responses, especially when dealing with complex or extensive information. Recently, Retrieval Augmented Generation (RAG) [21,12] has been devel- oped to address the hallucination problem with LLMs [15,43] when recovering factual information directly from an LLM. In RAG, instead of answering a user query directly using an LLM, the user query is used to retrieve documents or segments from a corpus and the top retrieved documents or segments are used to generate the answer in conjunction with an LLM. In this way, RAG con- straints the answer to the set of retrieved documents. RAGs have been used as well to answer questions from single documents [14]. The documents are split into smaller parts or chunks, indexed by a retrieval system and recovered and processed depending on the user information need. In a sense, this process allows answering questions about information in a single document, thus contributing to the set of techniques available for document understanding. Since documents need to be chunked for RAG processing, this raises the question about what is the best practice to chunk documents for effective RAG document understanding. There are several dimensions to consider when decid- ing how to chunk a document, which includes the size of the chunks. The retrieval system in RAG can use traditional retrieval systems using bag- of-words methods or a vector database. If a vector database is used, then an embedding needs to be obtained from each chunk, thus the number of tokens in the chunk is relevant since the neural networks processing the chunks might have constraints on the number of tokens. As well, different chunk sizes might have undesirable retrieval results. Since the most relevant retrieved chunks need to be processed by an LLM, the number of tokens in retrieved chunks might have an effect in the generation of the answer [25]. As we see, chunking is re- quired for RAG systems and there are several advantages and disadvantages when considering how to chunk a document.</p><p style='color: magenta;'>In this work, we study specifically the chunking of U.S. Securities and Ex- change Commission (SEC)1 Financial Reports2, including 10-Ks, 10-Qs, and 8-Ks. This study plays a critical role in offering insights into the financial health and operational dynamics of public companies. These documents present unique challenges in terms of document processing and information extraction as they consist of varying sizes and layouts, and contain a variety of tabular informa- tion. Previous work has evaluated the processing of these reports with simple chunking strategies (e.g., tokens), but we believe that a more effective use of these reports might be achieved by a better pre-processing of the documents</p><p style='color: red;'>Financial Report Chunking for Effective Retrieval Augmented Generation and chunking configuration3 [14]. To the best of our knowledge, this is the first systematic study on chunking for document understanding and more specifically for processing financial reports.</p><h3 style='color: black;'>2 Related work</h3><p style='color: green;'>Exploring the structure of financial reports is an exceptional area for es- tablishing optimal principles for chunking. The intricate nature of document structures and contents has resulted in most of the work processing financial reports focusing on the identification of structural elements. Among previous work, we find El-Haj et al. [10] and the FinTOC challenges [17,4,11] that have worked at the document structure level for UK and French financial reports. Ad- 3 https://www.cnbc.com/2023/12/19/gpt-and-other-ai-models-cant-analyze- an-sec-filing-researchers-find.html</p><p style='color: blue;'>ditionally, there is recent work that considers U.S. SEC reports, which includes DocLayNet [33] and more specifically with the report tables in FinTabNet [45]. On the side of financial models, there is work in sentiment analysis in fi- nance [37], which includes the pre-training of specialised models such as Fin- BERT by Liu et al. [26], which is a BERT based model pre-trained on large corpora including large collections of financial news collected from different sites and FinBERT by DeSola et al, [9] trained on Wikipedia, BookCorpus and U.S. SEC data. Additional models include BloombergGPT [40], FinGPT [42] and Instruct-FinGPT[44]. More advance datasets in the financial domain include FinQA [6], LLMWare [27], ConFIRM [8] and TAT-QA [46] among others [7,38,19] that have been prepared for retrieval and or Questions and Answering (Q&A) tasks over snippets of fi- nancial data that includes tabular data, which has allowed methods on large language models to be tested on them [39]. Most of the previous work has focused on understanding the layout of fi- nancial documents or understanding specific snippets of existing reports with different levels of complexity, but there has not been much research in under- standing financial report documents, except some more recent work that includes FinanceBench [14], in which a set of questions about the content of financial re- ports are proposed that includes the evidence snippet.</p><p style='color: magenta;'>More specifically on document chunking methods for RAG, there are stan- dard approaches being considered such as chunking text into spans of a given token length (e.g. 128 and 256) or chunking based on sentences. Open source projects already allow simple processing of documents (e.g. Unstructured4, Lla- maindex5 or Langchain 6), without explicitly considering the table structure on which these chunking strategies are applied. Even though different approaches are available, an exhaustive evaluation of chunking applied to RAG and specifically to financial reporting, except for some limited chunking analysis [14,36], is non-existent. In our work, we compare a broad range of chunking approaches in addition to more simple ones and provide an analysis of the outcomes of different methods when asking questions about different aspects of the reports.</p><h3 style='color: black;'>3.1 RAG setting for the experiments</h3><p style='color: red;'>Financial Report Chunking for Effective Retrieval Augmented Generation document, the document is split into chunks and the chunks are indexed into a vector database (vectordb). When a question is sent to the RAG system, the top-k chunks most similar to the question are retrieved from the vector database and used to generate the answer using a large language model as generator. In order to retrieve chunks from the vector database, the question is encoded into a vector that is compared to the vector previously generated from the chunks. To prompt the generator, the question is converted into a set of instructions that instruct the LLM to find the answer within the top-k retrieved chunks. question vectordb top k question vector chunks encoder v | generator —+ answer * question to prompt + rome</p><p style='color: green;'>Fig. 1. RAG steps to answer a question about a document</p><p style='color: blue;'>In our experiments, we modify the way documents are chunked prior to being indexed in the vector database. All other settings remain constant. In the following sections, we describe in more detail each one of the components and processes used.</p><h3 style='color: black;'>3.2 Indexing and retrieval</h3><p style='color: magenta;'>As shown in figure 2, to index a document, first the document is split into chunks, then each chunk is processed by an encoder model and then indexed into the vector database. Based on the chunking strategy a document will be split into a larger or smaller set of chunks. chunks vectors Fig. 2. Indexing of document chunks into the vector database ttps://huggingface. co/sentence-transformers/multi-qa-mpnet-base-dot-</p><p style='color: red;'>6 Jimeno Yepes et al.</p><p style='color: green;'>As shown in figure 1, to retrieve chunks relevant to a question, the question is converted into a vector representation and the vector database returns a ranked list of chunks based on the similarity between question vector and the chunks in the database. Weaviate implements an approximate nearest neighbours algo- rithm [28] as their retrieval approach, which supports fast retrieval with high accuracy. In our experiments, we retrieve the top-10 chunks for each question.</p><h3 style='color: black;'>3.3 Generation</h3><p style='color: blue;'>We have used GPT-4 [31] as the generator, which has shown best performance compared to earlier versions. As well, its performance was better compared to existing open source alternatives [22] such as Mixtral [16]. We used the prompt presented in figure 3 that we designed on another similar RAG implementation with different document types. The prompt conditions the answer to the query and the chunks, referred to as source, and if the generator cannot answer it should return No answer. please answer the question below by referencing the list of sources provided after the question; if the question can not be answered just respond ’No answer’. The sources are listed after \"Sources:\".  Question: {query}  Sources: {key} - {source} ...  Sources: {key} - {source} ...</p><p style='color: magenta;'>Fig. 3. Example prompt template used by the generator</p><h3 style='color: black;'>3.4 Chunking</h3><p style='color: red;'>In addition to chunking based on the number of tokens, we have processed the documents using computer vision and natural language processing to extract elements identified in the reports. The list of elements considered are provided by the Unstructured9 open source library. From the set of processing strategies, 9 https://unstructured-io.github.io/unstructured/introduction.html# elements</p><p style='color: green;'>Financial Report Chunking for Effective Retrieval Augmented Generation</p><p style='color: blue;'>we use Chipper, a vision encoder decoder10 model inspired by Donut [20] to showcase the performance difference. The Chipper model outputs results as a JSON representation of the document, listing elements per page characterized by their element type. Additionally, Chipper provides a bounding box enclosing each element on the page and the corresponding element text.</p><p style='color: magenta;'>These elements are sometimes short to be considered as chunks, so to gen- erate chunks from elements the following steps have been followed. Given the structure of finance reporting documents, our structural chunking efforts are con- centrated on processing titles, texts, and tables. The steps to generate element- based chunks are:</p><p style='color: red;'>– if the element text length is smaller than 2,048 characters, a merge with the following element is attempted – iteratively, element texts are merged following the step above till either the desired length is achieved, without breaking the element – if a title element is found, a new chunk is started – if a table element is found, a new chunk is started, preserving the entire table After element-based chunks have been derived, three types of metadata are generated to enrich the content and support efficient indexing. The first two types, generated via predefined prompt templates with GPT-4, include: 1) up to 6 representative keywords of the composite chunk 2) a summarised paragraph of the composite chunk. The third type is 3) Naive representation using the first two sentences from a composite chunk (a kind of prefix) and in the case of tables, the description of the table, which is typically identified in the table caption.</p><h3 style='color: black;'>3.5 Dataset</h3><p style='color: green;'>This dataset is made of 150 instances with questions and answers from 84 unique reports. The dataset does not include the source documents, which we have downloaded. We were able to recover only 80 documents, which reduces the number of questions to 141 from the original 150. The distribution of Un- structured elements predictions are shown in table 1. Documents have a varying number of pages, spanning from 4 pages (FOOT- LOCKER 2022 8K dated-2022-05-20) to 549 pages (e.g. PEPSICO 2021 10K), with an average of 147.34 with std 97.78 with a total of 11,787 pages combined. Each instance contains a link to the report, the question, a question type , the answer and supporting evidence, with page number where the evidence is located 10 https://huggingface.co/docs/transformers/model_doc/vision-encoder- decoder</p><p style='color: blue;'>8 Jimeno Yepes et al.</p><p style='color: magenta;'>Table 1. Unstructured element types distribution for Chipper predictions against doc- uments in FinanceBench.</p><p style='color: red;'><table><thead><th>Element Type</th><th>[Chipper Entities</th></thead><tr><td>NarrativeText</td><td>61,780</td></tr><tr><td>Title</td><td>29,664</td></tr><tr><td>ListItem</td><td>33,054</td></tr><tr><td>UncategorizedText</td><td>9,400</td></tr><tr><td>Footer</td><td>1,026</td></tr><tr><td>Table</td><td>7,700</td></tr><tr><td>Header</td><td>3,959</td></tr><tr><td>Image</td><td>26</td></tr><tr><td>FigureCaption</td><td>54</td></tr><tr><td>Formula</td><td>29</td></tr><tr><td>Address</td><td>229</td></tr><tr><td>Total</td><td>146,921</td></tr></table></p><p style='color: green;'>in the document, that allows for a closer evaluation of the results. Based on the page number, evidence contexts are located in different areas in the documents, ranging from the first page in some cases up to page 304 in one instance. The mean page number to find the evidence is 54.58 with a standard deviation of 43.66, which shows that evidence contexts to answer the questions are spread within a document.</p><p style='color: blue;'>These characteristics make FinanceBench a perfect dataset for evaluating RAG.</p><p style='color: magenta;'>An example instance is available in table 2.</p><h3 style='color: black;'>4 Results</h3><p style='color: red;'>We are considering 80 documents and 141 questions from FinanceBench. Using the OpenAI tokenizer from the model text-embedding-ada-002 that uses the tokenizer cl100k base11, there are on average 102,444.35 tokens with std of 61,979.45, which shows the large variability of document lengths as seen by the different number of pages per document presented above. Chunking Efficiency The first thing we analyzed is the total number of chunks, as it impacts indexing time. We would like to observe the relationship between accuracy and total chunk size. Table 3 shows the number of chunks derived from each one of the processing methods. Unstructured element-based chunks are closer in size to Base 512, and as the chunk size decreases for the basic chunking strategies, the total number of chunks increases linearly. Financial Report Chunking for Effective Retrieval Augmented Generation Table 2. Example question from the FinanceBench dataset</p><p style='color: green;'><table><thead><th>Field</th><th>Value</th></thead><tr><td></td><td>financebench-id|financebench.id_00859</td></tr><tr><td>doc_name</td><td>VERIZON.2021_10K</td></tr><tr><td>doc_link</td><td>https: //www.verizon.com/about/sites/default /files/2021-Annual- Report-on-Form-10-K.pdf</td></tr><tr><td>question_type</td><td>*novel-generated’</td></tr><tr><td>question</td><td>Among all of the derivative instruments that Verizon used to manage] the exposure to fluctuations of foreign currencies exchange rates or interest rates, which one had the highest notional value in FY 2021?</td></tr><tr><td>answer</td><td>Cross currency swaps. Its notional value was $32,502 million.,</td></tr><tr><td>evidence_text</td><td>Derivative Instruments We enter into derivative transactions primarily to manage our exposure to fluctuations in foreign currency exchange rates and interest rates. We employ risk management strategies, which may include the use of a variety of derivatives including interest rate swaps, cross currency swaps, forward starting interest rate swaps, trea- sury rate locks, interest rate caps, swaptions and foreign exchange for- wards. We do not hold derivatives for trading purposes. The following table sets forth the notional amounts of our outstanding derivative in- struments: (dollars in millions) At December 31, 2021 2020 Interest rate swaps $ 19,779 $ 17,768 Cross currency swaps 32,502 26,288 Forward starting interest rate 1,000 2,000 Foreign exchange forwards 932</td></tr><tr><td>page-number</td><td></td></tr></table></p><p style='color: blue;'>Table 3. Chunks statistics for basic chunking elements and Unstructured elements</p><p style='color: magenta;'><table><thead><th>Processing|total</th><th>chunks|mean</th><th>chunks per document</th><th>(std)|tables mean (std)</th></thead><tr><td>Base 128</td><td>| 64,058</td><td>800.73 (484.11)</td><td></td></tr><tr><td>Base 256</td><td>| 32,051</td><td>400.64 (242.04) (</td><td></td></tr><tr><td>Base 512</td><td>| 16,046</td><td>200.58 (121. 01)</td><td></td></tr><tr><td>Chipper</td><td>20,843</td><td>260.57 (145.80)</td><td>96.20 (57.53)</td></tr></table></p><p style='color: red;'>Retrieval Accuracy Secondly, we evaluate the capabilities of each chunking strategy in terms of retrieval accuracy. We use the page numbers in the ground truth to calculate the page-level retrieval accuracy, and we use ROUGE [24] and BLEU [32] scores to evaluate the accuracy of paragraph-level retrieval compared to the ground truth evidence paragraphs. As shown in Table 4, when compared to Unstructured element-based chunk- ing strategies, basic chunking strategies seem to have higher page-level retrieval accuracy but lower paragraph-level accuracy on average. Additionally, basic chunking strategies also lack consistency between page-level and paragraph-level accuracy; higher page-level accuracy doesn’t ensure higher paragraph-level ac- curacy. For example, Base 128 has the second highest page-level accuracy but the lowest paragraph-level scores among all. On the other hand, element-based chunking strategies showed more consistent results. A fascinating discovery is that when various chunking strategies are com- bined, it results in enhanced retrieval scores, achieving superior performance at both the page level (84.4%) and paragraph level (with ROUGE at 0.568% and BLEU at 0.452%). This finding addresses an unresolved question: how to improve the accuracy of RAG.</p><p style='color: green;'>The element based method provides the highest scores and it also provides a mechanism to chunk documents without the need to fine tune hyper-parameters like the number of tokens in a chunk. This suggests the element based method is more generalizable and can be applied to new types of documents.</p><p style='color: blue;'>Q&A Accuracy Third, we evaluate the Q&A accuracy for the chunking strate- gies. In addition to manual evaluation, we have investigated an automatic evalua- tion using GPT-4. GPT-4 compares how the answers provided by our method are similar to or different from the FinanceBench gold standard, similar approaches have been previously evaluated [13,23,29,30]. The automatic evaluation allows scaling the evaluation efforts for the different chunking strategies that we have considered. We used the prompt template in figure 4.</p><p style='color: magenta;'>Begin with True or False. Are the two following answers (Answer 1 and Answer 2) the same with respect to the question between single quotes ’{question}’?  Answer 1: ’{ground_truth_answer}’ Answer 2: ’{generated_answer}’  Fig. 4. Evaluation prompt template. The {question}, {ground truth answer} and {generated answer} fields are substituted for each question accordingly.</p><p style='color: red;'>Results in table 5 show that element-based chunking strategies offer the best question-answering accuracy, which is consistent with page retrieval and para- graph retrieval accuracy. Lastly, our approach stands out for its efficiency. Not only is element-based chunking generalizable without the need to select the chunk size, but when com- pared to the aggregation results that yield the highest retrieval scores. Element- based chunking achieves the highest retrieval scores with only half the number of chunks required compared to methods that do not consider the structure of the documents (62,529 v.s. 112,155). This can reduce the indexing cost and im- prove query latency because there are only half as many vectors to index for the vectordb that stores the chunks. This underscores the effectiveness of our solu- tion in optimizing the balance between performance and computational resource requirements. Financial Report Chunking for Effective Retrieval Augmented Generation</p><p style='color: green;'>Table 4. Retrieval results. For each chunking strategy, we show the number of chunks for all the documents (Total Chunks), Page Accuracy, and ROUGE and BLEU scores. ROUGE and BLEU are calculated as the maximum score from the list of recovered contexts for a question when compared to the known evidence for that question.</p><p style='color: blue;'><table><thead><th>Chunking strategy</th><th>Total Chunks}</th><th>Page Accuracy</th><th>ROUGE|BLEU.</th></thead><tr><td>Base 128</td><td>64,058</td><td>72.34</td><td>0.383</td></tr><tr><td>Base 256</td><td>32,051</td><td>73.05</td><td>0.433</td></tr><tr><td>Base 512</td><td>16,046</td><td>68.09</td><td>0.455</td></tr><tr><td>Base Aggregation</td><td>112,155</td><td>83.69</td><td>0.536</td></tr><tr><td>Keywords Chipper</td><td></td><td>46.10</td><td>0.444</td></tr><tr><td>Summary Chipper</td><td></td><td>62.41</td><td>0.473</td></tr><tr><td>Prefix &amp; Table Description Chipper</td><td></td><td>67.38</td><td>0.514</td></tr><tr><td>Chipper Aggregation</td><td>a</td><td>84.40</td><td>0.568</td></tr></table></p><p style='color: magenta;'>Table 5. Q&A results. We show the percentage of questions with no answer and as well the accuracy either estimated automatically using GPT-4 or manually.</p><p style='color: red;'><table><thead><th>Chunking strategy</th><th>No</th><th></th><th>answer|GPT-4|Manual</th></thead><tr><td>Base 128</td><td>35.46</td><td>29.08</td><td>| 35.46</td></tr><tr><td>Base 256</td><td>5.5¢</td><td>32.62</td><td>| 36.88</td></tr><tr><td>Base 512</td><td>24.82</td><td>41.84</td><td>| 48.23</td></tr><tr><td>Keywords Chipper</td><td>22.70 |</td><td>43.97]</td><td>53.19</td></tr><tr><td>Summary Chipper</td><td>17.73</td><td>|43.97])</td><td>51.77</td></tr><tr><td>Prefix &amp; Table Description Chipper]</td><td>20.57</td><td>41.13</td><td>| 53.19</td></tr></table></p><h3 style='color: black;'>5 Discussion</h3><p style='color: green;'>We have observed that using basic 512 chunking strategies produces results most similar to the Unstructured element-based approach, which may be due to the fact that 512 tokens share a similar length with the token size within our element-based chunks and capture a long context, but fail keep a coherent context in some cases, leaving out relevant information required for Q&A. This is further observed when considering the ROUGE and BLEU scores in table 4, where the chunk contexts for the baseline have lower scores. These findings support existing research stating that the best basic chunk size varies from data to data [3]. These results show, as well, that our method adapts to different documents without tuning. Our method relies on the struc- tural information that is present in the document’s layout to adjust the chunk size automatically.</p><p style='color: blue;'>We have evaluated aggregating the output of different chunking methods in the retrieval experiments as sown in table 4. Even though the aggregation seems to be effective for retrieval, the Q&A exceeded the GPT-4 token limit, which resulted in a non-effective Q&A solution using the selected model. As well, we evaluated variations of the prompt used to generate the answers (see figure 3). Re-ordering the retrieval context and the question, but results were not statistically different. We experimented as well with variations of the verbs using in the prompt, e.g. changing referencing with using, which seemed to lower the quality of the answers generated. This shows that prompt engineering is a relevant factor in RAG. We evaluated using GPT-4 for evaluation instead of relying on manual evalu- ation. In most cases, GPT-4 evaluated correctly but failed when a more elaborate answer is provided. As shown in figure 5, the answer is 39.7% while the estimated answer is 39.73% but with a detailed explanation of the calculation.</p><p style='color: magenta;'>Question: ’What is Coca Cola’s FY2021 COGS % margin? Calculate what was asked by utilizing the line items clearly shown in the income statement.’?  Answer 1: ’39.7%’ Answer 2: ’From the income statement referenced on page 60 of COCACOLA_2021_10K_embedded.json, we can see that Coca Cola’s total revenue in FY2021 was $38,655 million and their cost of goods sold (COGS) was $15,357 million. To calculate the COGS % margin, we divide the COGS by the total revenue and multiply by 100: (15,357 / 38,655) * 100 = 39.73% So, Coca Cola’s FY2021 COGS % margin was approximately 39.73%.’ </p><p style='color: red;'>Fig. 5. Evaluation prompt template</p><h3 style='color: black;'>6 Conclusions and Future Work</h3><p style='color: green;'>Financial Report Chunking for Effective Retrieval Augmented Generation Furthermore, we would like to study the impact of RAG configuration and ele- ment type based chunking.</p><h3 style='color: black;'>References</h3><p style='color: blue;'>2. Balaguer, A., Benara, V., de Freitas Cunha, R.L., de M. Estev˜ao Filho, R., Hendry, T., Holstein, D., Marsman, J., Mecklenburg, N., Malvar, S., Nunes, L.O., Padilha, R., Sharp, M., Silva, B., Sharma, S., Aski, V., Chandra, R.: Rag vs fine-tuning: Pipelines, tradeoffs, and a case study on agriculture (2024) 3. 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+       "<h3 style='color: black;'>Untitled</h3><p style='color: red;'>2 v 1 3 1 5 0 . 2 0 4 2 : v i X r a</p><h3 style='color: black;'>Financial Report Chunking for Effective Retrieval Augmented Generation</h3><p style='color: green;'>Unstructured Technologies Sacramento, CA, USA leah@unstructured.io https://unstructured.io</p><p style='color: blue;'>Abstract. Chunking information is a key step in Retrieval Augmented Generation (RAG). Current research primarily centers on paragraph- level chunking. This approach treats all texts as equal and neglects the information contained in the structure of documents. We propose an expanded approach to chunk documents by moving beyond mere paragraph-level chunking to chunk primary by structural element com- ponents of documents. Dissecting documents into these constituent ele- ments creates a new way to chunk documents that yields the best chunk size without tuning. We introduce a novel framework that evaluates how chunking based on element types annotated by document understanding models contributes to the overall context and accuracy of the informa- tion retrieved. We also demonstrate how this approach impacts RAG assisted Question & Answer task performance. Our research includes a comprehensive analysis of various element types, their role in effective information retrieval, and the impact they have on the quality of RAG outputs. Findings support that element type based chunking largely im- prove RAG results on financial reporting. Through this research, we are also able to answer how to uncover highly accurate RAG. Keywords: Retrieval Augmented Generation · Document Chunking · Document Pre-Processing · Financial Domain · Large Language Models</p><h3 style='color: black;'>Introduction</h3><p style='color: magenta;'>contents of extensive documents [25,22,18]. By dissecting large volumes of text into smaller, more focused segments, LLMs can process each part with greater precision, ensuring a thorough understanding of each section. This segmented approach allows for meticulous analysis of unstructured data, enabling LLMs to construct a more comprehensive and coherent understanding of the entire docu- ment [41]. There remains a challenge in ensuring factual accuracy and relevance in the generated responses, especially when dealing with complex or extensive information.</p><p style='color: red;'>Recently, Retrieval Augmented Generation (RAG) [21,12] has been devel- oped to address the hallucination problem with LLMs [15,43] when recovering factual information directly from an LLM. In RAG, instead of answering a user query directly using an LLM, the user query is used to retrieve documents or segments from a corpus and the top retrieved documents or segments are used to generate the answer in conjunction with an LLM. In this way, RAG con- straints the answer to the set of retrieved documents. RAGs have been used as well to answer questions from single documents [14]. The documents are split into smaller parts or chunks, indexed by a retrieval system and recovered and processed depending on the user information need. In a sense, this process allows answering questions about information in a single document, thus contributing to the set of techniques available for document understanding. Since documents need to be chunked for RAG processing, this raises the question about what is the best practice to chunk documents for effective RAG document understanding. There are several dimensions to consider when decid- ing how to chunk a document, which includes the size of the chunks. The retrieval system in RAG can use traditional retrieval systems using bag- of-words methods or a vector database. If a vector database is used, then an embedding needs to be obtained from each chunk, thus the number of tokens in the chunk is relevant since the neural networks processing the chunks might have constraints on the number of tokens. As well, different chunk sizes might have undesirable retrieval results. Since the most relevant retrieved chunks need to be processed by an LLM, the number of tokens in retrieved chunks might have an effect in the generation of the answer [25]. As we see, chunking is re- quired for RAG systems and there are several advantages and disadvantages when considering how to chunk a document.</p><p style='color: green;'>In this work, we study specifically the chunking of U.S. Securities and Ex- change Commission (SEC)1 Financial Reports2, including 10-Ks, 10-Qs, and 8-Ks. This study plays a critical role in offering insights into the financial health and operational dynamics of public companies. These documents present unique challenges in terms of document processing and information extraction as they consist of varying sizes and layouts, and contain a variety of tabular informa- tion. Previous work has evaluated the processing of these reports with simple chunking strategies (e.g., tokens), but we believe that a more effective use of these reports might be achieved by a better pre-processing of the documents</p><p style='color: blue;'>Financial Report Chunking for Effective Retrieval Augmented Generation and chunking configuration3 [14]. To the best of our knowledge, this is the first systematic study on chunking for document understanding and more specifically for processing financial reports.</p><h3 style='color: black;'>2 Related work</h3><p style='color: magenta;'>Exploring the structure of financial reports is an exceptional area for es- tablishing optimal principles for chunking. The intricate nature of document structures and contents has resulted in most of the work processing financial reports focusing on the identification of structural elements. Among previous work, we find El-Haj et al. [10] and the FinTOC challenges [17,4,11] that have worked at the document structure level for UK and French financial reports. Ad-</p><p style='color: red;'>3 https://www.cnbc.com/2023/12/19/gpt-and-other-ai-models-cant-analyze- an-sec-filing-researchers-find.html</p><p style='color: green;'>ditionally, there is recent work that considers U.S. SEC reports, which includes DocLayNet [33] and more specifically with the report tables in FinTabNet [45]. On the side of financial models, there is work in sentiment analysis in fi- nance [37], which includes the pre-training of specialised models such as Fin- BERT by Liu et al. [26], which is a BERT based model pre-trained on large corpora including large collections of financial news collected from different sites and FinBERT by DeSola et al, [9] trained on Wikipedia, BookCorpus and U.S. SEC data. Additional models include BloombergGPT [40], FinGPT [42] and Instruct-FinGPT[44]. More advance datasets in the financial domain include FinQA [6], LLMWare [27], ConFIRM [8] and TAT-QA [46] among others [7,38,19] that have been prepared for retrieval and or Questions and Answering (Q&A) tasks over snippets of fi- nancial data that includes tabular data, which has allowed methods on large language models to be tested on them [39]. Most of the previous work has focused on understanding the layout of fi- nancial documents or understanding specific snippets of existing reports with different levels of complexity, but there has not been much research in under- standing financial report documents, except some more recent work that includes FinanceBench [14], in which a set of questions about the content of financial re- ports are proposed that includes the evidence snippet.</p><p style='color: blue;'>More specifically on document chunking methods for RAG, there are stan- dard approaches being considered such as chunking text into spans of a given token length (e.g. 128 and 256) or chunking based on sentences. Open source projects already allow simple processing of documents (e.g. Unstructured4, Lla- maindex5 or Langchain 6), without explicitly considering the table structure on which these chunking strategies are applied. Even though different approaches are available, an exhaustive evaluation of chunking applied to RAG and specifically to financial reporting, except for some limited chunking analysis [14,36], is non-existent. In our work, we compare a broad range of chunking approaches in addition to more simple ones and provide an analysis of the outcomes of different methods when asking questions about different aspects of the reports.</p><h3 style='color: black;'>3.1 RAG setting for the experiments</h3><p style='color: magenta;'>Financial Report Chunking for Effective Retrieval Augmented Generation document, the document is split into chunks and the chunks are indexed into a vector database (vectordb). When a question is sent to the RAG system, the top-k chunks most similar to the question are retrieved from the vector database and used to generate the answer using a large language model as generator. In order to retrieve chunks from the vector database, the question is encoded into a vector that is compared to the vector previously generated from the chunks. To prompt the generator, the question is converted into a set of instructions that instruct the LLM to find the answer within the top-k retrieved chunks. question vectordb top k question vector chunks encoder v | generator —+ answer * question to prompt + rome</p><p style='color: red;'>Fig. 1. RAG steps to answer a question about a document</p><p style='color: green;'>In our experiments, we modify the way documents are chunked prior to being indexed in the vector database. All other settings remain constant. In the following sections, we describe in more detail each one of the components and processes used.</p><h3 style='color: black;'>3.2 Indexing and retrieval</h3><p style='color: blue;'>As shown in figure 2, to index a document, first the document is split into chunks, then each chunk is processed by an encoder model and then indexed into the vector database. Based on the chunking strategy a document will be split into a larger or smaller set of chunks. chunks vectors Fig. 2. Indexing of document chunks into the vector database ttps://huggingface. co/sentence-transformers/multi-qa-mpnet-base-dot-</p><p style='color: magenta;'>6 Jimeno Yepes et al.</p><p style='color: red;'>As shown in figure 1, to retrieve chunks relevant to a question, the question is converted into a vector representation and the vector database returns a ranked list of chunks based on the similarity between question vector and the chunks in the database. Weaviate implements an approximate nearest neighbours algo- rithm [28] as their retrieval approach, which supports fast retrieval with high accuracy. In our experiments, we retrieve the top-10 chunks for each question.</p><h3 style='color: black;'>3.3 Generation</h3><p style='color: green;'>We have used GPT-4 [31] as the generator, which has shown best performance compared to earlier versions. As well, its performance was better compared to existing open source alternatives [22] such as Mixtral [16]. We used the prompt presented in figure 3 that we designed on another similar RAG implementation with different document types. The prompt conditions the answer to the query and the chunks, referred to as source, and if the generator cannot answer it should return No answer. please answer the question below by referencing the list of sources provided after the question; if the question can not be answered just respond ’No answer’. The sources are listed after \"Sources:\".  Question: {query}  Sources: {key} - {source} ...  Sources: {key} - {source} ...</p><p style='color: blue;'>Fig. 3. Example prompt template used by the generator</p><h3 style='color: black;'>3.4 Chunking</h3><p style='color: magenta;'>In addition to chunking based on the number of tokens, we have processed the documents using computer vision and natural language processing to extract elements identified in the reports. The list of elements considered are provided by the Unstructured9 open source library. From the set of processing strategies, 9 https://unstructured-io.github.io/unstructured/introduction.html# elements</p><p style='color: red;'>Financial Report Chunking for Effective Retrieval Augmented Generation</p><p style='color: green;'>we use Chipper, a vision encoder decoder10 model inspired by Donut [20] to showcase the performance difference. The Chipper model outputs results as a JSON representation of the document, listing elements per page characterized by their element type. Additionally, Chipper provides a bounding box enclosing each element on the page and the corresponding element text.</p><p style='color: blue;'>These elements are sometimes short to be considered as chunks, so to gen- erate chunks from elements the following steps have been followed. Given the structure of finance reporting documents, our structural chunking efforts are con- centrated on processing titles, texts, and tables. The steps to generate element- based chunks are:</p><p style='color: magenta;'>– if the element text length is smaller than 2,048 characters, a merge with the following element is attempted – iteratively, element texts are merged following the step above till either the desired length is achieved, without breaking the element – if a title element is found, a new chunk is started – if a table element is found, a new chunk is started, preserving the entire table After element-based chunks have been derived, three types of metadata are generated to enrich the content and support efficient indexing. The first two types, generated via predefined prompt templates with GPT-4, include: 1) up to 6 representative keywords of the composite chunk 2) a summarised paragraph of the composite chunk. The third type is 3) Naive representation using the first two sentences from a composite chunk (a kind of prefix) and in the case of tables, the description of the table, which is typically identified in the table caption.</p><h3 style='color: black;'>3.5 Dataset</h3><p style='color: red;'>This dataset is made of 150 instances with questions and answers from 84 unique reports. The dataset does not include the source documents, which we have downloaded. We were able to recover only 80 documents, which reduces the number of questions to 141 from the original 150. The distribution of Un- structured elements predictions are shown in table 1. Documents have a varying number of pages, spanning from 4 pages (FOOT- LOCKER 2022 8K dated-2022-05-20) to 549 pages (e.g. PEPSICO 2021 10K), with an average of 147.34 with std 97.78 with a total of 11,787 pages combined. Each instance contains a link to the report, the question, a question type , the answer and supporting evidence, with page number where the evidence is located 10 https://huggingface.co/docs/transformers/model_doc/vision-encoder- decoder</p><p style='color: green;'>8 Jimeno Yepes et al.</p><p style='color: blue;'>Table 1. Unstructured element types distribution for Chipper predictions against doc- uments in FinanceBench.</p><p style='color: magenta;'><table><thead><th>Element Type</th><th>[Chipper Entities</th></thead><tr><td>NarrativeText</td><td>61,780</td></tr><tr><td>Title</td><td>29,664</td></tr><tr><td>ListItem</td><td>33,054</td></tr><tr><td>UncategorizedText</td><td>9,400</td></tr><tr><td>Footer</td><td>1,026</td></tr><tr><td>Table</td><td>7,700</td></tr><tr><td>Header</td><td>3,959</td></tr><tr><td>Image</td><td>26</td></tr><tr><td>FigureCaption</td><td>54</td></tr><tr><td>Formula</td><td>29</td></tr><tr><td>Address</td><td>229</td></tr><tr><td>Total</td><td>146,921</td></tr></table></p><p style='color: red;'>in the document, that allows for a closer evaluation of the results. Based on the page number, evidence contexts are located in different areas in the documents, ranging from the first page in some cases up to page 304 in one instance. The mean page number to find the evidence is 54.58 with a standard deviation of 43.66, which shows that evidence contexts to answer the questions are spread within a document.</p><p style='color: green;'>These characteristics make FinanceBench a perfect dataset for evaluating RAG.</p><p style='color: blue;'>An example instance is available in table 2.</p><h3 style='color: black;'>4 Results</h3><p style='color: magenta;'>We are considering 80 documents and 141 questions from FinanceBench. Using the OpenAI tokenizer from the model text-embedding-ada-002 that uses the tokenizer cl100k base11, there are on average 102,444.35 tokens with std of 61,979.45, which shows the large variability of document lengths as seen by the different number of pages per document presented above.</p><p style='color: red;'>Chunking Efficiency The first thing we analyzed is the total number of chunks, as it impacts indexing time. We would like to observe the relationship between accuracy and total chunk size. Table 3 shows the number of chunks derived from each one of the processing methods. Unstructured element-based chunks are closer in size to Base 512, and as the chunk size decreases for the basic chunking strategies, the total number of chunks increases linearly. Financial Report Chunking for Effective Retrieval Augmented Generation Table 2. Example question from the FinanceBench dataset</p><p style='color: green;'><table><thead><th>Field</th><th>Value</th></thead><tr><td></td><td>financebench-id|financebench.id_00859</td></tr><tr><td>doc_name</td><td>VERIZON.2021_10K</td></tr><tr><td>doc_link</td><td>https: //www.verizon.com/about/sites/default /files/2021-Annual- Report-on-Form-10-K.pdf</td></tr><tr><td>question_type</td><td>*novel-generated’</td></tr><tr><td>question</td><td>Among all of the derivative instruments that Verizon used to manage] the exposure to fluctuations of foreign currencies exchange rates or interest rates, which one had the highest notional value in FY 2021?</td></tr><tr><td>answer</td><td>Cross currency swaps. Its notional value was $32,502 million.,</td></tr><tr><td>evidence_text</td><td>Derivative Instruments We enter into derivative transactions primarily to manage our exposure to fluctuations in foreign currency exchange rates and interest rates. We employ risk management strategies, which may include the use of a variety of derivatives including interest rate swaps, cross currency swaps, forward starting interest rate swaps, trea- sury rate locks, interest rate caps, swaptions and foreign exchange for- wards. We do not hold derivatives for trading purposes. The following table sets forth the notional amounts of our outstanding derivative in- struments: (dollars in millions) At December 31, 2021 2020 Interest rate swaps $ 19,779 $ 17,768 Cross currency swaps 32,502 26,288 Forward starting interest rate 1,000 2,000 Foreign exchange forwards 932</td></tr><tr><td>page-number</td><td></td></tr></table></p><p style='color: blue;'>Table 3. Chunks statistics for basic chunking elements and Unstructured elements</p><p style='color: magenta;'><table><thead><th>Processing|total</th><th>chunks|mean</th><th>chunks per document</th><th>(std)|tables mean (std)</th></thead><tr><td>Base 128</td><td>| 64,058</td><td>800.73 (484.11)</td><td></td></tr><tr><td>Base 256</td><td>| 32,051</td><td>400.64 (242.04) (</td><td></td></tr><tr><td>Base 512</td><td>| 16,046</td><td>200.58 (121. 01)</td><td></td></tr><tr><td>Chipper</td><td>20,843</td><td>260.57 (145.80)</td><td>96.20 (57.53)</td></tr></table></p><p style='color: red;'>Retrieval Accuracy Secondly, we evaluate the capabilities of each chunking strategy in terms of retrieval accuracy. We use the page numbers in the ground truth to calculate the page-level retrieval accuracy, and we use ROUGE [24] and BLEU [32] scores to evaluate the accuracy of paragraph-level retrieval compared to the ground truth evidence paragraphs. As shown in Table 4, when compared to Unstructured element-based chunk- ing strategies, basic chunking strategies seem to have higher page-level retrieval accuracy but lower paragraph-level accuracy on average. Additionally, basic chunking strategies also lack consistency between page-level and paragraph-level accuracy; higher page-level accuracy doesn’t ensure higher paragraph-level ac- curacy. For example, Base 128 has the second highest page-level accuracy but the lowest paragraph-level scores among all. On the other hand, element-based chunking strategies showed more consistent results. A fascinating discovery is that when various chunking strategies are com- bined, it results in enhanced retrieval scores, achieving superior performance at both the page level (84.4%) and paragraph level (with ROUGE at 0.568% and BLEU at 0.452%). This finding addresses an unresolved question: how to improve the accuracy of RAG.</p><p style='color: green;'>The element based method provides the highest scores and it also provides a mechanism to chunk documents without the need to fine tune hyper-parameters like the number of tokens in a chunk. This suggests the element based method is more generalizable and can be applied to new types of documents.</p><p style='color: blue;'>Q&A Accuracy Third, we evaluate the Q&A accuracy for the chunking strate- gies. In addition to manual evaluation, we have investigated an automatic evalua- tion using GPT-4. GPT-4 compares how the answers provided by our method are similar to or different from the FinanceBench gold standard, similar approaches have been previously evaluated [13,23,29,30]. The automatic evaluation allows scaling the evaluation efforts for the different chunking strategies that we have considered. We used the prompt template in figure 4.</p><p style='color: magenta;'>Begin with True or False. Are the two following answers (Answer 1 and Answer 2) the same with respect to the question between single quotes ’{question}’?  Answer 1: ’{ground_truth_answer}’ Answer 2: ’{generated_answer}’  Fig. 4. Evaluation prompt template. The {question}, {ground truth answer} and {generated answer} fields are substituted for each question accordingly.</p><p style='color: red;'>Results in table 5 show that element-based chunking strategies offer the best question-answering accuracy, which is consistent with page retrieval and para- graph retrieval accuracy. Lastly, our approach stands out for its efficiency. Not only is element-based chunking generalizable without the need to select the chunk size, but when com- pared to the aggregation results that yield the highest retrieval scores. Element- based chunking achieves the highest retrieval scores with only half the number of chunks required compared to methods that do not consider the structure of the documents (62,529 v.s. 112,155). This can reduce the indexing cost and im- prove query latency because there are only half as many vectors to index for the vectordb that stores the chunks. This underscores the effectiveness of our solu- tion in optimizing the balance between performance and computational resource requirements. Financial Report Chunking for Effective Retrieval Augmented Generation</p><p style='color: green;'>Table 4. Retrieval results. For each chunking strategy, we show the number of chunks for all the documents (Total Chunks), Page Accuracy, and ROUGE and BLEU scores. ROUGE and BLEU are calculated as the maximum score from the list of recovered contexts for a question when compared to the known evidence for that question.</p><p style='color: blue;'><table><thead><th>Chunking strategy</th><th>Total Chunks}</th><th>Page Accuracy</th><th>ROUGE|BLEU.</th></thead><tr><td>Base 128</td><td>64,058</td><td>72.34</td><td>0.383</td></tr><tr><td>Base 256</td><td>32,051</td><td>73.05</td><td>0.433</td></tr><tr><td>Base 512</td><td>16,046</td><td>68.09</td><td>0.455</td></tr><tr><td>Base Aggregation</td><td>112,155</td><td>83.69</td><td>0.536</td></tr><tr><td>Keywords Chipper</td><td></td><td>46.10</td><td>0.444</td></tr><tr><td>Summary Chipper</td><td></td><td>62.41</td><td>0.473</td></tr><tr><td>Prefix &amp; Table Description Chipper</td><td></td><td>67.38</td><td>0.514</td></tr><tr><td>Chipper Aggregation</td><td>a</td><td>84.40</td><td>0.568</td></tr></table></p><p style='color: magenta;'>Table 5.</p><p style='color: red;'>Q&A results. We show the percentage of questions with no answer and as well the accuracy either estimated automatically using GPT-4 or manually.</p><p style='color: green;'><table><thead><th>Chunking strategy</th><th>No</th><th></th><th>answer|GPT-4|Manual</th></thead><tr><td>Base 128</td><td>35.46</td><td>29.08</td><td>| 35.46</td></tr><tr><td>Base 256</td><td>5.5¢</td><td>32.62</td><td>| 36.88</td></tr><tr><td>Base 512</td><td>24.82</td><td>41.84</td><td>| 48.23</td></tr><tr><td>Keywords Chipper</td><td>22.70 |</td><td>43.97]</td><td>53.19</td></tr><tr><td>Summary Chipper</td><td>17.73</td><td>|43.97])</td><td>51.77</td></tr><tr><td>Prefix &amp; Table Description Chipper]</td><td>20.57</td><td>41.13</td><td>| 53.19</td></tr></table></p><h3 style='color: black;'>5 Discussion</h3><p style='color: blue;'>We have observed that using basic 512 chunking strategies produces results most similar to the Unstructured element-based approach, which may be due to the fact that 512 tokens share a similar length with the token size within our element-based chunks and capture a long context, but fail keep a coherent context in some cases, leaving out relevant information required for Q&A. This is further observed when considering the ROUGE and BLEU scores in table 4, where the chunk contexts for the baseline have lower scores. These findings support existing research stating that the best basic chunk size varies from data to data [3]. These results show, as well, that our method adapts to different documents without tuning. Our method relies on the struc- tural information that is present in the document’s layout to adjust the chunk size automatically.</p><p style='color: magenta;'>We have evaluated aggregating the output of different chunking methods in the retrieval experiments as sown in table 4. Even though the aggregation seems to be effective for retrieval, the Q&A exceeded the GPT-4 token limit, which resulted in a non-effective Q&A solution using the selected model. As well, we evaluated variations of the prompt used to generate the answers (see figure 3). Re-ordering the retrieval context and the question, but results were not statistically different. We experimented as well with variations of the verbs using in the prompt, e.g. changing referencing with using, which seemed to lower the quality of the answers generated. This shows that prompt engineering is a relevant factor in RAG. We evaluated using GPT-4 for evaluation instead of relying on manual evalu- ation. In most cases, GPT-4 evaluated correctly but failed when a more elaborate answer is provided. As shown in figure 5, the answer is 39.7% while the estimated answer is 39.73% but with a detailed explanation of the calculation.</p><p style='color: red;'>Question: ’What is Coca Cola’s FY2021 COGS % margin? Calculate what was asked by utilizing the line items clearly shown in the income statement.’?  Answer 1: ’39.7%’ Answer 2: ’From the income statement referenced on page 60 of COCACOLA_2021_10K_embedded.json, we can see that Coca Cola’s total revenue in FY2021 was $38,655 million and their cost of goods sold (COGS) was $15,357 million. To calculate the COGS % margin, we divide the COGS by the total revenue and multiply by 100: (15,357 / 38,655) * 100 = 39.73% So, Coca Cola’s FY2021 COGS % margin was approximately 39.73%.’ </p><p style='color: green;'>Fig. 5. Evaluation prompt template</p><h3 style='color: black;'>6 Conclusions and Future Work</h3><p style='color: blue;'>Financial Report Chunking for Effective Retrieval Augmented Generation Furthermore, we would like to study the impact of RAG configuration and ele- ment type based chunking.</p><h3 style='color: black;'>References</h3><p style='color: magenta;'>2. Balaguer, A., Benara, V., de Freitas Cunha, R.L., de M. Estev˜ao Filho, R., Hendry, T., Holstein, D., Marsman, J., Mecklenburg, N., Malvar, S., Nunes, L.O., Padilha, R., Sharp, M., Silva, B., Sharma, S., Aski, V., Chandra, R.: Rag vs fine-tuning: Pipelines, tradeoffs, and a case study on agriculture (2024)</p><p style='color: red;'>3. Barnett, S., Kurniawan, S., Thudumu, S., Brannelly, Z., Abdelrazek, M.: Seven Failure Points When Engineering a Retrieval Augmented Generation System (2024)</p><p style='color: green;'>4. Bentabet, N.I., Juge, R., El Maarouf, I., Mouilleron, V., Valsamou-Stanislawski, D., El-Haj, M.: The financial document structure extraction shared task (fintoc 2020). In: Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation. pp. 13–22 (2020)</p><p style='color: blue;'>5. Chen, H., Jiao, F., Li, X., Qin, C., Ravaut, M., Zhao, R., Xiong, C., Joty, S.: Chat- GPT’s One-year Anniversary: Are Open-Source Large Language Models Catching up? arXiv preprint arXiv:2311.16989 (2023) 6. Chen, Z., Chen, W., Smiley, C., Shah, S., Borova, I., Langdon, D., Moussa, R., Beane, M., Huang, T.H., Routledge, B., et al.: Finqa: A dataset of numerical reasoning over financial data. arXiv preprint arXiv:2109.00122 (2021) 7. Chen, Z., Li, S., Smiley, C., Ma, Z., Shah, S., Wang, W.Y.: ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering (2022) 8. Choi, S., Gazeley, W., Wong, S.H., Li, T.: Conversational Financial Information Retrieval Model (ConFIRM). arXiv preprint arXiv:2310.13001 (2023) 9. DeSola, V., Hanna, K., Nonis, P.: Finbert: pre-trained model on sec filings for financial natural language tasks. University of California (2019) 10. El-Haj, M., Rayson, P., Young, S., Walker, M.: Detecting document structure in a very large corpus of UK financial reports. European Language Resources Associa- tion (ELRA) (2014) 11. El Maarouf, I., Kang, J., Azzi, A.A., Bellato, S., Gan, M., El-Haj, M.: The financial document structure extraction shared task (FinTOC2021). In: Proceedings of the 3rd Financial Narrative Processing Workshop. pp. 111–119 (2021)</p><p style='color: magenta;'>12. Gao, Y., Xiong, Y., Gao, X., Jia, K., Pan, J., Bi, Y., Dai, Y., Sun, J., Wang, H.: Retrieval-augmented generation for large language models: A survey. arXiv preprint arXiv:2312.10997 (2023) 13. Hada, R., Gumma, V., de Wynter, A., Diddee, H., Ahmed, M., Choudhury, M., Bali, K., Sitaram, S.: Are large language model-based evaluators the solution to scaling up multilingual evaluation? arXiv preprint arXiv:2309.07462 (2023) 14. Islam, P., Kannappan, A., Kiela, D., Qian, R., Scherrer, N., Vidgen, B.: Fi- nanceBench: A New Benchmark for Financial Question Answering. arXiv preprint arXiv:2311.11944 (2023)</p><p style='color: red;'>15. Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., Ishii, E., Bang, Y.J., Madotto, A., Fung, P.: Survey of Hallucination in Natural Language Generation. ACM Comput- ing Surveys 55(12), 1–38 (Mar 2023). https://doi.org/10.1145/3571730, http:// dx.doi.org/10.1145/3571730</p><p style='color: green;'>14 Jimeno Yepes et al. 16. Jiang, A.Q., Sablayrolles, A., Roux, A., Mensch, A., Savary, B., Bamford, C., Chaplot, D.S., de las Casas, D., Hanna, E.B., Bressand, F., Lengyel, G., Bour, G., Lample, G., Lavaud, L.R., Saulnier, L., Lachaux, M.A., Stock, P., Subramanian, S., Yang, S., Antoniak, S., Scao, T.L., Gervet, T., Lavril, T., Wang, T., Lacroix, T., Sayed, W.E.: Mixtral of Experts (2024)</p><p style='color: blue;'>17. Juge, R., Bentabet, I., Ferradans, S.: The fintoc-2019 shared task: Financial doc- ument structure extraction. In: Proceedings of the Second Financial Narrative Processing Workshop (FNP 2019). pp. 51–57 (2019)</p><p style='color: magenta;'>18. Kaddour, J., Harris, J., Mozes, M., Bradley, H., Raileanu, R., McHardy, R.: Chal- lenges and applications of large language models. arXiv preprint arXiv:2307.10169 (2023)</p><p style='color: red;'>19. Kaur, S., Smiley, C., Gupta, A., Sain, J., Wang, D., Siddagangappa, S., Aguda, T., Shah, S.: REFinD: Relation Extraction Financial Dataset. In: the 46th International ACM SIGIR Conference on Re- Proceedings of search and Development in Information Retrieval. SIGIR ’23, ACM (Jul 2023). https://doi.org/10.1145/3539618.3591911, http://dx.doi.org/10.1145/ 3539618.3591911</p><p style='color: green;'>20. Kim, G., Hong, T., Yim, M., Park, J., Yim, J., Hwang, W., Yun, S., Han, D., Park, S.: Donut: Document understanding transformer without ocr. arXiv preprint arXiv:2111.15664 7, 15 (2021) 21. Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., K¨uttler, H., Lewis, M., Yih, W.t., Rockt¨aschel, T., et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. Advances in Neural Information Processing Systems 33, 9459–9474 (2020)</p><p style='color: blue;'>22. Li, D., Shao, R., Xie, A., Sheng, Y., Zheng, L., Gonzalez, J.E., Stoica, I., Ma, X., Zhang, H.: How Long Can Open-Source LLMs Truly Promise on Context Length? (June 2023), https://lmsys.org/blog/2023-06-29-longchat</p><p style='color: magenta;'>23. Li, Y., Duan, Y.: The evaluation of experiments of artificial general intelligence with gpt-4 based on dikwp. arXiv preprint (2023)</p><p style='color: red;'>24. Lin, C.Y.: Rouge: A package for automatic evaluation of summaries. In: Text sum- marization branches out. pp. 74–81 (2004) 25. Liu, N.F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., Liang, P.: Lost in the middle: How language models use long contexts. arXiv preprint arXiv:2307.03172 (2023) 26. Liu, Z., Huang, D., Huang, K., Li, Z., Zhao, J.: Finbert: A pre-trained financial language representation model for financial text mining. In: Proceedings of the twenty-ninth international conference on international joint conferences on artificial intelligence. pp. 4513–4519 (2021) llmware: Rag Instruct Benchmark Tester. https://huggingface.co/datasets/ llmware/rag_instruct_benchmark_tester, Accessed: January 15, 2024</p><p style='color: green;'>28. Malkov, Y.A., Yashunin, D.A.: Efficient and robust approximate nearest neigh- bor search using hierarchical navigable small world graphs. IEEE transactions on pattern analysis and machine intelligence 42(4), 824–836 (2018)</p><p style='color: blue;'>29. Moore, S., Nguyen, H.A., Chen, T., Stamper, J.: Assessing the quality of multiple- choice questions using gpt-4 and rule-based methods. In: European Conference on Technology Enhanced Learning. pp. 229–245. Springer (2023) 30. Naismith, B., Mulcaire, P., Burstein, J.: Automated evaluation of written discourse coherence using gpt-4. In: Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023). pp. 394–403 (2023) 31. OpenAI, :, Achiam, J., Adler, S., Agarwal, S., et al.: GPT-4 Technical Report</p><p style='color: magenta;'>(2023)</p><p style='color: red;'>Financial Report Chunking for Effective Retrieval Augmented Generation</p><p style='color: green;'>32. Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: Bleu: a method for automatic evaluation of machine translation. In: Proceedings of the 40th annual meeting of the Association for Computational Linguistics. pp. 311–318 (2002) 33. Pfitzmann, B., Auer, C., Dolfi, M., Nassar, A.S., Staar, P.: Doclaynet: A large human-annotated dataset for document-layout segmentation. In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. pp. 3743–3751 (2022)</p><p style='color: blue;'>34. Pinecone: Chunking strategies for llm applications, https://www.pinecone.io/ learn/chunking-strategies/</p><p style='color: magenta;'>35. Reimers, N., Gurevych, I.: Sentence-bert: Sentence embeddings using siamese bert- networks. In: Proceedings of the 2019 Conference on Empirical Methods in Nat- ural Language Processing. Association for Computational Linguistics (11 2019), https://arxiv.org/abs/1908.10084</p><p style='color: red;'>36. Retteter, J.: Mastering Table Extraction: Revolutionize Your Earnings Re- ports Analysis with AI. https://medium.com/unstructured-io/mastering- table-extraction-revolutionize-your-earnings-reports-analysis-with- ai-1bc32c22720e, Accessed: January 15, 2024 37. Rizinski, M., Peshov, H., Mishev, K., Jovanovik, M., Trajanov, D.: Sentiment Anal- ysis in Finance: From Transformers Back to eXplainable Lexicons (XLex) (2023) 38. Shah, R.S., Chawla, K., Eidnani, D., Shah, A., Du, W., Chava, S., Raman, N., Smiley, C., Chen, J., Yang, D.: WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain (2022) 39. Singh Phogat, K., Harsha, C., Dasaratha, S., Ramakrishna, S., Akhil Puranam, S.: Zero-Shot Question Answering over Financial Documents using Large Language Models. arXiv e-prints pp. arXiv–2311 (2023) 40. Wu, S., Irsoy, O., Lu, S., Dabravolski, V., Dredze, M., Gehrmann, S., Kambadur, P., Rosenberg, D., Mann, G.: BloombergGPT: A Large Language Model for Finance (2023) 41. Xu, P., Ping, W., Wu, X., McAfee, L., Zhu, C., Liu, Z., Subramanian, S., Bakhtu- rina, E., Shoeybi, M., Catanzaro, B.: Retrieval meets Long Context Large Language Models (2023) 42. Yang, H., Liu, X.Y., Wang, C.D.: FinGPT: Open-Source Financial Large Language Models (2023) 43. Ye, H., Liu, T., Zhang, A., Hua, W., Jia, W.: Cognitive Mirage: A Review of Hallucinations in Large Language Models (2023) 44. Zhang, B., Yang, H., Liu, X.Y.: Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models (2023)</p><p style='color: green;'>45. Zheng, X., Burdick, D., Popa, L., Zhong, X., Wang, N.X.R.: Global table extractor (gte): A framework for joint table identification and cell structure recognition using visual context. In: Proceedings of the IEEE/CVF winter conference on applications of computer vision. pp. 697–706 (2021) 46. Zhu, F., Lei, W., Huang, Y., Wang, C., Zhang, S., Lv, J., Feng, F., Chua, T.S.: TAT-QA: A question answering benchmark on a hybrid of tabular and textual content in finance. arXiv preprint arXiv:2105.07624 (2021)</p>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -889,13 +716,6 @@
    "source": [
     "print_chunks_by_title(chunks_by_title)"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
diff --git a/semantic_router/splitters/rolling_window.py b/semantic_router/splitters/rolling_window.py
index 1c754afe..5a5c7209 100644
--- a/semantic_router/splitters/rolling_window.py
+++ b/semantic_router/splitters/rolling_window.py
@@ -1,3 +1,4 @@
+from dataclasses import dataclass
 from typing import List
 
 import numpy as np
@@ -9,6 +10,31 @@ from semantic_router.splitters.utils import split_to_sentences, tiktoken_length
 from semantic_router.utils.logger import logger
 
 
+@dataclass
+class SplitStatistics:
+    total_documents: int
+    total_splits: int
+    splits_by_threshold: int
+    splits_by_max_chunk_size: int
+    splits_by_last_split: int
+    min_token_size: int
+    max_token_size: int
+    splits_by_similarity_ratio: float
+
+    def __str__(self):
+        return (
+            f"Splitting Statistics:\n"
+            f"  - Total Documents: {self.total_documents}\n"
+            f"  - Total Splits: {self.total_splits}\n"
+            f"  - Splits by Threshold: {self.splits_by_threshold}\n"
+            f"  - Splits by Max Chunk Size: {self.splits_by_max_chunk_size}\n"
+            f"  - Last Split: {self.splits_by_last_split}\n"
+            f"  - Minimum Token Size of Split: {self.min_token_size}\n"
+            f"  - Maximum Token Size of Split: {self.max_token_size}\n"
+            f"  - Similarity Split Ratio: {self.splits_by_similarity_ratio:.2f}"
+        )
+
+
 class RollingWindowSplitter(BaseSplitter):
     def __init__(
         self,
@@ -32,6 +58,7 @@ class RollingWindowSplitter(BaseSplitter):
         self.min_split_tokens = min_split_tokens
         self.max_split_tokens = max_split_tokens
         self.split_tokens_tolerance = split_tokens_tolerance
+        self.statistics: SplitStatistics
 
     def encode_documents(self, docs: List[str]) -> np.ndarray:
         try:
@@ -55,15 +82,20 @@ class RollingWindowSplitter(BaseSplitter):
 
     def find_split_indices(self, similarities: List[float]) -> List[int]:
         split_indices = []
-        for idx in range(1, len(similarities)):
-            if similarities[idx] < self.calculated_threshold:
+        for idx, score in enumerate(similarities):
+            logger.debug(f"Similarity score at index {idx}: {score}")
+            if score < self.calculated_threshold:
+                logger.debug(
+                    f"Adding to split_indices due to score < threshold: "
+                    f"{score} < {self.calculated_threshold}"
+                )
+                # Split after the document at idx
                 split_indices.append(idx + 1)
         return split_indices
 
-    def find_optimal_threshold(self, docs: List[str], encoded_docs: np.ndarray):
+    def find_optimal_threshold(self, docs: List[str], similarity_scores: List[float]):
         token_counts = [tiktoken_length(doc) for doc in docs]
         cumulative_token_counts = np.cumsum([0] + token_counts)
-        similarity_scores = self.calculate_similarity_scores(encoded_docs)
 
         # Analyze the distribution of similarity scores to set initial bounds
         median_score = np.median(similarity_scores)
@@ -77,10 +109,10 @@ class RollingWindowSplitter(BaseSplitter):
         median_tokens = 0
         while low <= high:
             self.calculated_threshold = (low + high) / 2
+            split_indices = self.find_split_indices(similarity_scores)
             logger.debug(
                 f"Iteration {iteration}: Trying threshold: {self.calculated_threshold}"
             )
-            split_indices = self.find_split_indices(similarity_scores)
 
             # Calculate the token counts for each split using the cumulative sums
             split_token_counts = [
@@ -140,7 +172,8 @@ class RollingWindowSplitter(BaseSplitter):
 
         for doc_idx, doc in enumerate(docs):
             doc_token_count = token_counts[doc_idx]
-
+            logger.debug(f"Accumulative token count: {current_tokens_count} tokens")
+            logger.debug(f"Document token count: {doc_token_count} tokens")
             # Check if current index is a split point based on similarity
             if doc_idx + 1 in split_indices:
                 if current_tokens_count + doc_token_count >= self.min_split_tokens:
@@ -226,17 +259,16 @@ class RollingWindowSplitter(BaseSplitter):
         min_token_size = min(split.token_count for split in splits) if splits else 0
         max_token_size = max(split.token_count for split in splits) if splits else 0
 
-        statistics_summary = (
-            f"Splitting Statistics:\n"
-            f"  - Total Splits: {total_splits}\n"
-            f"  - Splits by Threshold: {splits_by_threshold}\n"
-            f"  - Splits by Max Chunk Size: {splits_by_max_chunk_size}\n"
-            f"  - Last Split: {splits_by_last_split}\n"
-            f"  - Minimum Token Size of Split: {min_token_size}\n"
-            f"  - Maximum Token Size of Split: {max_token_size}\n"
-            f"  - Similarity Split Ratio: {splits_by_similarity_ratio:.2f}"
+        self.statistics = SplitStatistics(
+            total_documents=len(docs),
+            total_splits=total_splits,
+            splits_by_threshold=splits_by_threshold,
+            splits_by_max_chunk_size=splits_by_max_chunk_size,
+            splits_by_last_split=splits_by_last_split,
+            min_token_size=min_token_size,
+            max_token_size=max_token_size,
+            splits_by_similarity_ratio=splits_by_similarity_ratio,
         )
-        logger.info(statistics_summary)
 
         return splits
 
@@ -376,12 +408,13 @@ class RollingWindowSplitter(BaseSplitter):
                 )
             docs = split_to_sentences(docs[0])
         encoded_docs = self.encode_documents(docs)
+        similarities = self.calculate_similarity_scores(encoded_docs)
         if self.dynamic_threshold:
-            self.find_optimal_threshold(docs, encoded_docs)
+            self.find_optimal_threshold(docs, similarities)
         else:
             self.calculated_threshold = self.encoder.score_threshold
-        similarities = self.calculate_similarity_scores(encoded_docs)
         split_indices = self.find_split_indices(similarities=similarities)
         splits = self.split_documents(docs, split_indices, similarities)
         self.plot_similarity_scores(similarities, split_indices, splits)
+        logger.info(self.statistics)
         return splits
diff --git a/semantic_router/splitters/unstructured_splitter.py b/semantic_router/splitters/unstructured_splitter.py
index 4a0d69b1..b806cec5 100644
--- a/semantic_router/splitters/unstructured_splitter.py
+++ b/semantic_router/splitters/unstructured_splitter.py
@@ -2,8 +2,9 @@ import re
 from typing import Any
 
 from colorama import Fore, Style
-from semantic_router.splitters import RollingWindowSplitter
+
 from semantic_router.encoders import BaseEncoder
+from semantic_router.splitters import RollingWindowSplitter
 
 
 class UnstructuredSemanticSplitter:
@@ -126,4 +127,4 @@ class UnstructuredSemanticSplitter:
         return chunks_with_title
 
     async def __call__(self, elements: list[dict[str, Any]]) -> list[dict[str, Any]]:
-        return await self.split_grouped_elements(elements, self.splitter)
\ No newline at end of file
+        return await self.split_grouped_elements(elements, self.splitter)
-- 
GitLab