{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c1edbfac-6157-4d49-a573-8d784df55a9d",
   "metadata": {},
   "source": [
    "<img src=\"https://5264302.fs1.hubspotusercontent-na1.net/hubfs/5264302/Demo%20Asset%20Resources/CM-Demo-metric_workbench-Cover.png\" width=1100 margin-left='auto' margin-right='auto'/>\n",
    "\n",
    "While Coin Metrics **Network Data Pro** offers users the ability to analyze aggregated on-chain metrics for a variety of cryptoassets, some power users may require additional customization and granularity. Coin Metrics **ATLAS search engine** equips users with the on-chain analytical toolset they need to workshop their own custom metrics.\n",
    "\n",
    "## Resources\n",
    "This notebook demonstrates basic functionality offered by the Coin Metrics Python API Client, ATLAS, and Network Data Pro.\n",
    "\n",
    "Coin Metrics offers a vast assortment of data for hundreds of cryptoassets. The Python API Client allows for easy access to this data using Python without needing to create your own wrappers using `requests` and other such libraries.\n",
    "\n",
    "To understand the data that Coin Metrics offers, feel free to peruse the resources below.\n",
    "\n",
    "- The [Coin Metrics API v4](https://docs.coinmetrics.io/api/v4) website contains the full set of endpoints and data offered by Coin Metrics.\n",
    "- The [Coin Metrics Product Documentation](https://docs.coinmetrics.io/info) gives detailed, conceptual explanations of the data that Coin Metrics offers.\n",
    "- The [API Spec](https://docs.coinmetrics.io/python-api-client/reference) contains a full list of functions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06f11e93-8756-4fc3-807d-51cf05ae27b0",
   "metadata": {},
   "source": [
    "## Notebook Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "12778469-daeb-431d-b305-2bfb93937474",
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import environ\n",
    "import pandas as pd\n",
    "import logging\n",
    "from datetime import date, datetime, timedelta\n",
    "from coinmetrics.api_client import CoinMetricsClient\n",
    "import json\n",
    "import logging\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from IPython.display import Markdown as md"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0225aaef-8170-4462-8201-109c7f0c5bcf",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "sns.set_theme()\n",
    "sns.set(rc={'figure.figsize':(8,6)})\n",
    "sns.set_style(\"whitegrid\",{'axes.grid' : False,'grid.linestyle': '--', 'grid.color': 'black','axes.edgecolor': 'white','font.family': ['sans-serif']})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "95f2e9ab-fdd6-44f4-87e3-55a620f76d7a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "logging.basicConfig(\n",
    "    format='%(asctime)s %(levelname)-8s %(message)s',\n",
    "    level=logging.INFO,\n",
    "    datefmt='%Y-%m-%d %H:%M:%S'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0e1ba4ea-4583-4807-bdfe-b6fd1b9ac8e9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-09-16 14:50:24 INFO     Using API key found in environment\n"
     ]
    }
   ],
   "source": [
    "# We recommend privately storing your API key in your local environment.\n",
    "try:\n",
    "    api_key = environ[\"CM_API_KEY\"]\n",
    "    logging.info(\"Using API key found in environment\")\n",
    "except KeyError:\n",
    "    api_key = \"\"\n",
    "    logging.info(\"API key not found. Using community client\")\n",
    "\n",
    "client = CoinMetricsClient(api_key)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31b12e0c-e87f-45c0-93be-d3a2379176ec",
   "metadata": {},
   "source": [
    "# Block-by-Block Metrics\n",
    "\n",
    "With **Network Data Pro**, block-by-block metrics are offered for both BTC and ETH. With **ATLAS**, however, we have the ability to retrieve block-by-block metrics for any asset in ATLAS coverage.\n",
    "\n",
    "In this example, we quantify the total amount of USDC and USDT transferred on a block-by-block basis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "aa6ba0a0-b2d0-4a86-bf76-5e2e230af253",
   "metadata": {},
   "outputs": [],
   "source": [
    "hours = 2\n",
    "end = datetime.now()\n",
    "start = end - timedelta(hours=hours)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fbe4cdfa-b7bb-486a-b5ab-dde962428b49",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieving data for both USDC and USDT (ETH chain)\n",
    "asset_list = ['usdc','usdt_eth']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1dcdb54e-b194-4597-bc5e-42a848f45a3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fetching USDC transactions...\n",
      "Fetching USDT_ETH transactions...\n"
     ]
    }
   ],
   "source": [
    "for asset in asset_list:\n",
    "    print('Fetching ' + asset.upper() + ' transactions...')\n",
    "    \n",
    "    # ATLAS 'Get List of Transactions' function\n",
    "    vars()[asset + '_tx'] = client.get_list_of_transactions_v2(\n",
    "            asset=asset,\n",
    "            start_time=start,\n",
    "            end_time=end\n",
    "    ).to_dataframe().drop_duplicates(subset=['txid'],keep='last')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "742ab7eb-3b36-40f3-b2bf-5ef7ec3e9102",
   "metadata": {},
   "source": [
    "### USDC Transactions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "442f4c6c-a804-442d-9ff4-20993ae387ad",
   "metadata": {},
   "outputs": [
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       "                                                   txid  \\\n",
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       "\n",
       "                consensus_time        tx_position  n_balance_updates  \\\n",
       "4839 2024-09-16 14:50:23+00:00  89180189833035782                  2   \n",
       "4840 2024-09-16 14:50:23+00:00  89180189833035783                  2   \n",
       "4841 2024-09-16 14:50:23+00:00  89180189833035784                  2   \n",
       "4842 2024-09-16 14:50:23+00:00  89180189833035785                  2   \n",
       "4843 2024-09-16 14:50:23+00:00  89180189833035786                  2   \n",
       "\n",
       "            amount                                         block_hash  \\\n",
       "4839   1047.039959  0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...   \n",
       "4840         560.0  0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...   \n",
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       "4843          30.0  0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...   \n",
       "\n",
       "        height                miner_time  min_chain_sequence_number  \\\n",
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       "4840  20763881 2024-09-16 14:50:23+00:00          89180189833035792   \n",
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       "4843  20763881 2024-09-16 14:50:23+00:00          89180189833035798   \n",
       "\n",
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      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "usdc_tx.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d5aa7521-8c0f-4a56-8605-b496d8a75dd3",
   "metadata": {},
   "outputs": [
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       "                 amount\n",
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     "metadata": {},
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   ],
   "source": [
    "# Transform balance updates into block-by-block transfer metrics with one line of code\n",
    "usdc_tx_bbb = pd.DataFrame(usdc_tx.groupby('height')['amount'].sum())\n",
    "usdc_tx_bbb.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "63e6a4e3-4610-462c-abd7-e6521b5a0c10",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(\n",
    "    data=usdc_tx_bbb,\n",
    "    y=usdc_tx_bbb['amount'],\n",
    "    x=usdc_tx_bbb.index\n",
    ")\n",
    "ax.set_xlabel(\"Block Height\", fontsize = 12)\n",
    "ax.set_ylabel(\"Total Transfer \\nAmount\", fontsize = 12)\n",
    "plt.setp(ax.get_xticklabels(), rotation=45)\n",
    "ax.xaxis.set_ticks(plt.gca().get_xticks())\n",
    "plt.gca().set_xticklabels(['{:.0f}'.format(x) for x in plt.gca().get_xticks()])\n",
    "ax.yaxis.set_ticks(plt.gca().get_yticks())\n",
    "plt.gca().set_yticklabels(['${:,.1f}M'.format(y/1000000) for y in plt.gca().get_yticks()])\n",
    "plt.ylim([usdc_tx_bbb['amount'].min(), usdc_tx_bbb['amount'].max()*1.1])\n",
    "plt.xlim([usdc_tx_bbb.index[0], usdc_tx_bbb.index[-1]])\n",
    "plt.annotate(\n",
    "    'Source: Coin Metrics ATLAS',\n",
    "    xy=(1, -0.195),\n",
    "    xycoords='axes fraction',\n",
    "    color='black',xytext=(-8, 0),\n",
    "    textcoords='offset pixels',\n",
    "    horizontalalignment='right',\n",
    "    verticalalignment='bottom'\n",
    ")\n",
    "ax.set_title('\\nUSDC Transactions (Block-by-Block) \\n', fontsize = 16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4d7da1b2-fd23-4298-8e1c-fe1ae3e3fee5",
   "metadata": {},
   "outputs": [],
   "source": [
    "largest_tx = usdc_tx.loc[usdc_tx['amount'].idxmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c09b6eef-71b6-4162-9741-a593bc96ec74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "txid                         ca9d6c9c2e86a71c5482845abf9a8821d743bd2923fb73...\n",
       "consensus_time                                       2024-09-16 14:43:11+00:00\n",
       "tx_position                                                  89180035214213128\n",
       "n_balance_updates                                                           10\n",
       "amount                                                          50893857.89172\n",
       "block_hash                   19e68e57ad114250502478a0e337ea9ee681f5d0730496...\n",
       "height                                                                20763845\n",
       "miner_time                                           2024-09-16 14:43:11+00:00\n",
       "min_chain_sequence_number                                    89180035214213140\n",
       "max_chain_sequence_number                                    89180035214213149\n",
       "fee                                                                          0\n",
       "Name: 4549, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "largest_tx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5e4dded4-59a3-4146-9fb7-285850c21957",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "<br><font size=\"3.5\">Transaction info can also be viewed in the **ATLAS** graphical user interface:<br><br>**Largest Transaction:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdc&tx_hash=ca9d6c9c2e86a71c5482845abf9a8821d743bd2923fb73cb87177e6e83d86d9e"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "md('<br><font size=\"3.5\">Transaction info can also be viewed in the **ATLAS** graphical user interface:<br><br>**Largest Transaction:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdc&tx_hash=' + str(largest_tx.txid) )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbee0ba4-3579-414e-ab84-2c4c4c449f9a",
   "metadata": {},
   "source": [
    "### USDT Transactions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "826cb5d5-4eb4-46df-852d-cc152130700c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>txid</th>\n",
       "      <th>consensus_time</th>\n",
       "      <th>tx_position</th>\n",
       "      <th>n_balance_updates</th>\n",
       "      <th>amount</th>\n",
       "      <th>block_hash</th>\n",
       "      <th>height</th>\n",
       "      <th>miner_time</th>\n",
       "      <th>min_chain_sequence_number</th>\n",
       "      <th>max_chain_sequence_number</th>\n",
       "      <th>fee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15151</th>\n",
       "      <td>0493f4f094032f2fc01a6a67d1bb7b18cad05d6b3727eb...</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035822</td>\n",
       "      <td>2</td>\n",
       "      <td>0.111413</td>\n",
       "      <td>0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...</td>\n",
       "      <td>20763881</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035890</td>\n",
       "      <td>89180189833035891</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15152</th>\n",
       "      <td>616e8f6cbb50ed258575820c0cdac2b4d768bbb7c4cd7a...</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035823</td>\n",
       "      <td>2</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...</td>\n",
       "      <td>20763881</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035892</td>\n",
       "      <td>89180189833035893</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15153</th>\n",
       "      <td>bdb7bee6537d63c72055b0b015f9a07e6129aff9fb2c43...</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035824</td>\n",
       "      <td>2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...</td>\n",
       "      <td>20763881</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035894</td>\n",
       "      <td>89180189833035895</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15154</th>\n",
       "      <td>38988bf92c9a968df5d7db4c0307a08a3c857d6879e7c0...</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035825</td>\n",
       "      <td>2</td>\n",
       "      <td>211.714933</td>\n",
       "      <td>0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...</td>\n",
       "      <td>20763881</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035896</td>\n",
       "      <td>89180189833035897</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15155</th>\n",
       "      <td>562fc4b718a681f189cf9aa452937d49527fce7a265193...</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035826</td>\n",
       "      <td>2</td>\n",
       "      <td>300.0</td>\n",
       "      <td>0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...</td>\n",
       "      <td>20763881</td>\n",
       "      <td>2024-09-16 14:50:23+00:00</td>\n",
       "      <td>89180189833035898</td>\n",
       "      <td>89180189833035899</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    txid  \\\n",
       "15151  0493f4f094032f2fc01a6a67d1bb7b18cad05d6b3727eb...   \n",
       "15152  616e8f6cbb50ed258575820c0cdac2b4d768bbb7c4cd7a...   \n",
       "15153  bdb7bee6537d63c72055b0b015f9a07e6129aff9fb2c43...   \n",
       "15154  38988bf92c9a968df5d7db4c0307a08a3c857d6879e7c0...   \n",
       "15155  562fc4b718a681f189cf9aa452937d49527fce7a265193...   \n",
       "\n",
       "                 consensus_time        tx_position  n_balance_updates  \\\n",
       "15151 2024-09-16 14:50:23+00:00  89180189833035822                  2   \n",
       "15152 2024-09-16 14:50:23+00:00  89180189833035823                  2   \n",
       "15153 2024-09-16 14:50:23+00:00  89180189833035824                  2   \n",
       "15154 2024-09-16 14:50:23+00:00  89180189833035825                  2   \n",
       "15155 2024-09-16 14:50:23+00:00  89180189833035826                  2   \n",
       "\n",
       "           amount                                         block_hash  \\\n",
       "15151    0.111413  0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...   \n",
       "15152        75.0  0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...   \n",
       "15153         5.0  0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...   \n",
       "15154  211.714933  0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...   \n",
       "15155       300.0  0a590f6b2dd842efa8a7f1a0ebce2746cdb20a2c069bb8...   \n",
       "\n",
       "         height                miner_time  min_chain_sequence_number  \\\n",
       "15151  20763881 2024-09-16 14:50:23+00:00          89180189833035890   \n",
       "15152  20763881 2024-09-16 14:50:23+00:00          89180189833035892   \n",
       "15153  20763881 2024-09-16 14:50:23+00:00          89180189833035894   \n",
       "15154  20763881 2024-09-16 14:50:23+00:00          89180189833035896   \n",
       "15155  20763881 2024-09-16 14:50:23+00:00          89180189833035898   \n",
       "\n",
       "       max_chain_sequence_number  fee  \n",
       "15151          89180189833035891    0  \n",
       "15152          89180189833035893    0  \n",
       "15153          89180189833035895    0  \n",
       "15154          89180189833035897    0  \n",
       "15155          89180189833035899    0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "usdt_eth_tx.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d1b26a14-96a6-4ee3-97ac-c0434165408a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>height</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20763288</th>\n",
       "      <td>523600.540279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763289</th>\n",
       "      <td>149740.436168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763290</th>\n",
       "      <td>143192.868507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763291</th>\n",
       "      <td>79358.83167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763292</th>\n",
       "      <td>1944483.921281</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  amount\n",
       "height                  \n",
       "20763288   523600.540279\n",
       "20763289   149740.436168\n",
       "20763290   143192.868507\n",
       "20763291     79358.83167\n",
       "20763292  1944483.921281"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Transform balance updates into block-by-block transfer metrics with one line of code\n",
    "usdt_tx_bbb = pd.DataFrame(usdt_eth_tx.groupby('height')['amount'].sum())\n",
    "usdt_tx_bbb.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e4430f1e-162c-4787-a6ec-c91f6789dfcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(\n",
    "    data=usdt_tx_bbb,\n",
    "    y=usdt_tx_bbb['amount'],\n",
    "    x=usdt_tx_bbb.index,\n",
    "    color='green'\n",
    ")\n",
    "ax.set_xlabel(\"Block Height\", fontsize = 15)\n",
    "ax.set_ylabel(\"Total Transfer \\nAmount\", fontsize = 15)\n",
    "plt.setp(ax.get_xticklabels(), rotation=45)\n",
    "ax.xaxis.set_ticks(plt.gca().get_xticks())\n",
    "plt.gca().set_xticklabels(['{:.0f}'.format(x) for x in plt.gca().get_xticks()])\n",
    "ax.yaxis.set_ticks(plt.gca().get_yticks())\n",
    "plt.gca().set_yticklabels(['${:,.1f}M'.format(y/1000000) for y in plt.gca().get_yticks()])\n",
    "plt.ylim([usdt_tx_bbb['amount'].min(), usdt_tx_bbb['amount'].max()*1.1])\n",
    "plt.xlim([usdt_tx_bbb.index[0], usdt_tx_bbb.index[-1]])\n",
    "plt.annotate(\n",
    "    'Source: Coin Metrics ATLAS',\n",
    "    xy=(1, -0.195), \n",
    "    xycoords='axes fraction',color='black',\n",
    "    xytext=(-8, 6), \n",
    "    textcoords='offset pixels',\n",
    "    horizontalalignment='right',\n",
    "    verticalalignment='bottom'\n",
    ")\n",
    "ax.set_title('\\nUSDT Transactions (Block-by-Block) \\n', fontsize = 17);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "bed74b05-f090-4492-aec6-aafacc774f81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "txid                         ec6ca03c17cea5c528378bbfa65ef1fb7471395c74a6e8...\n",
       "consensus_time                                       2024-09-16 13:01:47+00:00\n",
       "tx_position                                                  89177883435597842\n",
       "n_balance_updates                                                            2\n",
       "amount                                                              65000000.0\n",
       "block_hash                   20c5ffdb60ac0aecbe1827788f2d448c8f0d8ab72827f3...\n",
       "height                                                                20763344\n",
       "miner_time                                           2024-09-16 13:01:47+00:00\n",
       "min_chain_sequence_number                                    89177883435597866\n",
       "max_chain_sequence_number                                    89177883435597867\n",
       "fee                                                                          0\n",
       "Name: 1462, dtype: object"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "largest_usdt_tx = usdt_eth_tx.loc[usdt_eth_tx['amount'].idxmax()]\n",
    "largest_usdt_tx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "99cf8eb9-38dc-4f2c-aa42-533fdb855a0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "<br><font size=\"3.5\">Transaction info can also be viewed in the **ATLAS** graphical user interface:<br><br>**Largest Transaction:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdt_eth&tx_hash=ec6ca03c17cea5c528378bbfa65ef1fb7471395c74a6e89d7344be0932c94a1c"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "md('<br><font size=\"3.5\">Transaction info can also be viewed in the **ATLAS** graphical user interface:<br><br>**Largest Transaction:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdt_eth&tx_hash=' + str(largest_usdt_tx.txid) )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ae05ddb-a07f-4609-be4e-f5a69d57f12a",
   "metadata": {},
   "source": [
    "# Cross-Asset Metrics\n",
    "\n",
    "With **Network Data Pro**, users have the ability to retrieve aggregated daily transfers for specific assets such as USDC and USDT. With **ATLAS**, however, we have the ability to create more customized, granular metrics. \n",
    "\n",
    "In this example, we quantify the total size of **transactions where USDT and USDC are transferred simultaneously**, on a block-by-block basis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "aef07ba7-b91f-4e96-bc5d-46e615053ca7",
   "metadata": {},
   "outputs": [],
   "source": [
    "usdc_tx['USDC Amount'] = usdc_tx['amount']\n",
    "usdt_eth_tx['USDT Amount'] = usdt_eth_tx['amount']\n",
    "\n",
    "merged = pd.merge(usdc_tx[['height','USDC Amount','txid']], usdt_eth_tx[['USDT Amount','txid']], on ='txid')\n",
    "merged['Total Amount'] = merged['USDT Amount'] + merged['USDC Amount']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fece4261-4b88-4734-a497-ed114d5f10b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>height</th>\n",
       "      <th>USDC Amount</th>\n",
       "      <th>txid</th>\n",
       "      <th>USDT Amount</th>\n",
       "      <th>Total Amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>20763867</td>\n",
       "      <td>149.890998</td>\n",
       "      <td>6288646aa12f6e17854e0e567d33e59baadb000fcccaa7...</td>\n",
       "      <td>225.073709</td>\n",
       "      <td>374.964707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>20763868</td>\n",
       "      <td>20.215977</td>\n",
       "      <td>33b82dd5137e8610868966f7738467b3cca7aadee525f0...</td>\n",
       "      <td>40.291364</td>\n",
       "      <td>60.507341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>20763872</td>\n",
       "      <td>59998.50869</td>\n",
       "      <td>973b87937c485db542909d2c69730a3d5ce41f78cfe01e...</td>\n",
       "      <td>60000.0</td>\n",
       "      <td>119998.50869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>20763877</td>\n",
       "      <td>160.087258</td>\n",
       "      <td>97d6b653d389cb1b1a31e26d555e1e9f182633295b0e88...</td>\n",
       "      <td>2087.301319</td>\n",
       "      <td>2247.388577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>20763878</td>\n",
       "      <td>56908.231643</td>\n",
       "      <td>8bd1605839db7cf700ac524012a09c71cf9add77d0edec...</td>\n",
       "      <td>23055.975936</td>\n",
       "      <td>79964.207579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       height   USDC Amount  \\\n",
       "310  20763867    149.890998   \n",
       "311  20763868     20.215977   \n",
       "312  20763872   59998.50869   \n",
       "313  20763877    160.087258   \n",
       "314  20763878  56908.231643   \n",
       "\n",
       "                                                  txid   USDT Amount  \\\n",
       "310  6288646aa12f6e17854e0e567d33e59baadb000fcccaa7...    225.073709   \n",
       "311  33b82dd5137e8610868966f7738467b3cca7aadee525f0...     40.291364   \n",
       "312  973b87937c485db542909d2c69730a3d5ce41f78cfe01e...       60000.0   \n",
       "313  97d6b653d389cb1b1a31e26d555e1e9f182633295b0e88...   2087.301319   \n",
       "314  8bd1605839db7cf700ac524012a09c71cf9add77d0edec...  23055.975936   \n",
       "\n",
       "     Total Amount  \n",
       "310    374.964707  \n",
       "311     60.507341  \n",
       "312  119998.50869  \n",
       "313   2247.388577  \n",
       "314  79964.207579  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "2ebcad09-9f15-4a91-83bd-b0ea0a9cadad",
   "metadata": {},
   "outputs": [],
   "source": [
    "last_tx = merged.iloc[-1]\n",
    "txhash = last_tx.txid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a23006eb-64ac-4342-9c0e-d8edf02643f2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "<br><font size=\"3.5\">Transaction info can also be viewed in the **ATLAS** graphical user interface:<br><br>**USDC:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdc&tx_hash=8bd1605839db7cf700ac524012a09c71cf9add77d0edec1b81a8342285d092db<br>**USDT:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdt_eth&tx_hash=8bd1605839db7cf700ac524012a09c71cf9add77d0edec1b81a8342285d092db"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "md('<br><font size=\"3.5\">Transaction info can also be viewed in the **ATLAS** graphical user interface:<br><br>**USDC:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdc&tx_hash=' + str(txhash) + '<br>**USDT:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdt_eth&tx_hash=' + str(txhash))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ec239d4f-19ca-4e8c-a661-7145f947a95e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Total Amount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>height</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20763294</th>\n",
       "      <td>161872.380601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763296</th>\n",
       "      <td>195635.133756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763306</th>\n",
       "      <td>28362.220094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763309</th>\n",
       "      <td>7325.095764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763316</th>\n",
       "      <td>796760.645528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763867</th>\n",
       "      <td>374.964707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763868</th>\n",
       "      <td>60.507341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763872</th>\n",
       "      <td>119998.50869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763877</th>\n",
       "      <td>2247.388577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763878</th>\n",
       "      <td>79964.207579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>240 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Total Amount\n",
       "height                 \n",
       "20763294  161872.380601\n",
       "20763296  195635.133756\n",
       "20763306   28362.220094\n",
       "20763309    7325.095764\n",
       "20763316  796760.645528\n",
       "...                 ...\n",
       "20763867     374.964707\n",
       "20763868      60.507341\n",
       "20763872   119998.50869\n",
       "20763877    2247.388577\n",
       "20763878   79964.207579\n",
       "\n",
       "[240 rows x 1 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Determine total amount of USDT + USDC transferred on a block-by-block basis\n",
    "both_tx_bbb = pd.DataFrame(merged.groupby('height')['Total Amount'].sum())\n",
    "both_tx_bbb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "35454c80-480c-43e4-ab0d-86702d76f116",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AwGeffQYbGxvxdiMjI8yePRsymQwHDx7E5MmTVa5YC+Rk8318fLB+/XpYW1uL5yuq6OhoLFmyBJs3b4aJiQkWL15c5AtjEZH+kwkFfd5HRETFdvPmTUyZMgXR0dGQyWSoU6cObG1tERcXJ2aWa9asiU2bNqFhw4Z57h8bG4tp06YhMDAQQM7a37Vr14aFhQXCw8MRExMDAPD09MSyZctUJh4eOHAA8+bNg5mZGdzc3MTtgiAgOTkZYWFh4huBDh06YO3atflO0gwNDcXkyZPF2E/FihVRu3ZtpKWl4cmTJ5DL5TA3N8dXX32F9957r0jPTUJCAgYOHIjw8HDIZDLUr18fpqamePr0KdLS0uDi4oLIyEjEx8fjyJEj4vPj4eGBFy9e4Ndff0WHDh1UjpmVlYUmTZoAAE6dOgVHR0dxu7e3N44dOwaZTIZGjRohMzMTT548wVtvvYXY2FhERETgxIkTqFu3bpHGn5mZiUWLFmHfvn3ic6I437Nnz5CcnAwg5w2cokjP7Y8//sD//vc/8ftQvXp1VKtWDampqXj69CmysrJgZ2eHH374Ic9jVTwPTk5OsLOzUxlXXFyceJVdKysrfPvtt+jTp0+hj+nHH3+Ej48P2rRpg+3btxfpeSCissHlIImIdKxFixb4888/ceDAAZw8eRJhYWF4+fIlKleujJYtW6JPnz4YOnSoSjdWmZ2dHXbs2IG///4bJ06cwK1btxAREYGMjAzY29vD09MTQ4YMQefOnfMdQ0ZGRp58uoWFBapWrYrOnTujf//+6NmzZ4GPo3bt2jhw4AD+/PNPHDt2DMHBwbh//z6MjY1Rv359dOzYEV5eXqhdu3aRn5tKlSrhwIED+PHHH3H58mU8f/4c5ubmaNiwIfr27YsRI0Zgzpw5OHr0KM6ePav2jU1RmZiYYNWqVejYsSN2796Nx48fw9raGh988AFmzZql0VrupqamWLJkCfr27YsDBw7g9u3bePbsGQRBgIODA9zc3DBy5EiVyb65DRs2DJ06dcIff/yBixcvIiwsDCEhIbC2toarqys8PDwwfPhwlcI8t6dPn+Lp06fi18bGxqhQoQKaN2+ODh06YPjw4WqXziQiaWPHnYiIiIhIAphxJyIiIiKSABbuREREREQSwMKdiIiIiEgCWLgTEREREUkAC3ciIiIiIglg4U5EREREJAEs3ImIiIiIJIAXYCIiAG+unlgctWrVwunTp0toRKUjICAAK1euxL1792BkZIR27drhp59+Kuth6cTcuXNx8OBBTJo0CTNmzCh0f8XPQP/+/bFixYoSH9+pU6dw6NAh3Lp1CzExMbCyskLNmjXRsWNHDB8+XLwiaXml+P4UB69uWjQJCQnIzMxE1apVxW3FfT0Q6SMW7kQEAKhRowZatWqVZ/s///yDjIyMPJdYBwB7e/vSGl6JePnyJT7++GOkp6ejSpUqqFGjRrkvFvVBZmYmpk+fjpMnTwLIeQPYuHFjxMXF4eHDh7h79y527NiBhQsXYvDgwWU82pLj5OSk9jWnuOKts7NznqvrOjs7l8rYpMzX1xfLli3D6tWrVQp3ovKAV04logJ5eHjgxYsXWLp0KYYMGVLWw9GpnTt3YvHixahTpw4OHz4Mc3Pzsh6SThW3wxgbG4u4uDhUqFAB1apVK7FxLVu2DFu2bIGzszNWrVqFhg0birclJCRg9erV+P3332FsbIydO3eiZcuWJTYWfeTi4gIA2LZtG9q2bVvGo5GeLl26IDIyMs/zFxUVhdevX6Ny5cp5mhBEUsGMOxEZrNjYWABA06ZNy13Rrgk7Ozs0aNCgRIv2lJQU7Nq1C0BONEe5aAeASpUq4euvv0a3bt2QnZ2NX375pcTGQoalWrVqaNCgAYt2kjQW7kRksLKysgAAZmZmZTwSw/HkyROkpqbCxsYGTk5O+e43bNgwADlRLSIiysHCnYi05uLigrZt2+LFixfw8vJC06ZN0alTJ2zdulXc5+nTp1i8eDE8PT3RsmVLNG3aFO+88w68vb1x9+7dfI8pl8uxc+dODBw4EM2bN0ebNm0wadIk3L59W+1Yjh07hjFjxsDd3R1ubm7o0qULpk+fjps3b4r7XL16FS4uLli/fj0A4ODBg3BxcREjCgrR0dH43//+h549e6Jp06Zo27YtPv74Y1y8eDHPeRXHnDZtGq5cuYI+ffqgadOm6NmzJwIDA3HgwAG4uLhg2bJlOHz4MDw8PNCsWTN4enri8ePH4nGePXuGL774Al27doWbmxs6dOiAqVOn5vt4AeDy5csYN24c2rZti9atW2PixIm4d+9evvvn58cff4SLiwtmzZql9nElJSVh2bJl6N69u/jcLliwAJGRkUU+h6mpKQAgKSkJN27cyHe/Tp064dChQ9i3b1+e29LS0vDbb79h5MiRaNu2LZo0aYI2bdpg5MiR2LdvH3InQOfOnQsXFxecP38eQUFBGD9+PFq3bo23334bY8eOFd8cREZGYt68eejQoQOaNm2K/v37488//1Q7vuzsbOzbtw8ffvghWrdujebNm2PAgAHYuHEj0tLSivx8aCIsLAwuLi4YMmQIQkJCMGTIELi5uaFr167w8/MT9/v3338xb9489OzZEy1atECzZs3Qo0cPfPXVV3j+/Hm+x8zIyMC6devw7rvvomnTpmjfvj28vb1Vfk4VBEHAnj178OGHH4qvaw8PD8ybNw8PHz5UO/7i/i4AgPT0dPz2228YOnQoWrdujRYtWmDo0KHYtWsX5HI5AIivMcXP46hRo+Di4oKrV68CePNzsGrVqjzHf/ToEebNmye+7tq1a4dJkybh8uXLefbV9WuCqDhYuBORTmRlZeGTTz7B7du30bBhQyQnJ6NevXoAgHPnzmHAgAHYuXMnXr16hXr16qFmzZp49eoVDh8+jPfff1+lsFY2e/ZsLF68GBEREahfvz7S09Nx5swZfPTRR3nus379evzf//0frly5AltbW7i4uCA9PR1Hjx7F8OHDcfz4cQBAhQoV0KpVK9SoUQMAUKVKFbRq1UplouDt27fRv39/bNu2DZGRkahfvz6sra1x4cIFjB8/Xu0ffyCno/zpp58iLi4O9erVw6tXr1QmFAYGBuLzzz9HVlYWateujaSkJNStW1d8ngYOHIj9+/cjISEBzs7OMDIywokTJ/DBBx9gz549ec63detWjBs3DpcuXYKlpSXq1q2LS5cu4cMPP8T9+/eL9s0rgsTERHzwwQfYsmULBEFAvXr1EBUVJRZtiYmJRTpO/fr1Ub16dQDAJ598gp9//hlhYWF59rOwsICrq2ue2E5CQgI+/PBDfPvtt7hx4wbs7Ozg7OyM7OxsBAYGYv78+fj222/Vnvv48eMYNWoUbt26hdq1ayM7OxuXL1+Gl5cXAgICMGTIEPz111+oUqUKKlSogPv37+Pzzz9XKYaBnDcOEydOxPz583Hz5k3Y2tqiXr16ePToEX744Qd8+OGHYgyrJMXHx2P8+PF49uwZGjZsiJiYGPHN5759+zBs2DAcOHAASUlJqF+/Puzt7REWFoa9e/di6NChCA0NzXPMzMxMjB8/HmvWrEFSUhIaNGiA169f4/Dhw/jggw/y3GfBggVYsGABbt26herVq6NRo0ZITEzEgQMHMHToUHGirYImvwtiY2MxYsQIfPvtt/j3339Ro0YN1KhRA//++y8WLlyIr776CsCb17HizaGzszNatWqFChUqFPg8+vn5YdCgQeJz5erqClNTU5w5cwZjx47FypUr1d5PV68JomIRiIgK0K1bN8HZ2VnYv39/vvs4OzsLzs7OQseOHYWwsDBBEAQhISFByMrKEtLT04WOHTsKzs7Owvfffy+kp6eL9wsNDRUGDhwoODs7C5MnT1Z7zCZNmgh79uwR5HK5IAiCEBMTIwwaNEhwdnYWPv74Y3H/uLg4oUmTJkLTpk2FwMBAcXtGRobw3XffCc7OzkLXrl1VzrFy5UrB2dlZmDNnjsr2hIQEoXPnzoKzs7PwzTffCCkpKeJt58+fF95++23B2dlZOHbsmLjd399fHPOoUaOE1NRUQRAEITY2VhAEQdi/f794++effy5kZWWp3P78+XOhRYsWgouLi7B+/XohMzNTEARBkMvlwsGDBwU3NzehcePGwq1bt8Rz3rt3T2jcuLHg6uoq7N27V9z+8uVLYfDgweL5Vq5cme/3TtnatWsFZ2dnwdvbW+3j6ty5s8pz+88//witW7cWnJ2dhY0bNxbpHIIgCMeOHRNcXFzE4zo7Owu9evUS5s+fLxw5ckRISEjI977ffvut4OzsLPTr108IDw8Xt6enpwvLly8XnJ2dhbfeekuIi4sTb5szZ454njlz5ojfz6ioKKFr166Cs7Oz4OrqKrz//vtCRESEIAg5PzdTp04VnJ2dhffff19lDIsWLRKcnZ2FAQMGCPfv3xe3R0ZGCqNGjRKcnZ2FiRMnFvn5yE0xVn9/f7W3h4aGivv07dtXfKyKn6WoqCihefPmgrOzs7Bt2zYhOztbvG9ISIjwzjvvCM7OzsK3336r9pitWrUS/v77b/G258+fi78Hvv76a3H7/fv3BWdnZ6Fdu3bCw4cPxe0pKSnCjBkzBGdnZ2HEiBHidk1/F8ycOVP8nj9+/FjcHhgYKLRo0UJwdnYWjh8/Lm5XvHZzP3+KnwPl18PDhw8FNzc3wdnZWVi2bJnKmHx9fcXbDh48KG4vidcEUVGx405EOvPhhx+iVq1aAICKFSvC2NgY//zzD1JTU+Hg4ABvb2+VPLmjoyPGjRsHAPl+rP7RRx/h/fffh0wmA5AzgfKzzz4DANy6dUvc7+nTp8jMzET9+vXx9ttvi9tNTU0xY8YMdOrUCR06dEBSUlKhj2PPnj2IjIxE165dMX/+fFhaWoq3de7cGXPmzAEArFu3Tu39p0yZAgsLCwBA5cqV89w+ffp0GBsbq9y+efNmpKSkYPjw4Zg4cSJMTHJW65XJZBg0aBA+/vhjZGdni/EeAPj111+RnZ2N9957D++99564vUaNGvjxxx/FzqOuLFiwQOW5bdKkCQYNGgRA9XtRmN69e2P9+vVi5x3I+f7t3bsXM2bMQIcOHTBz5kyEh4fnuW9AQABkMhnmzp0LBwcHcbuZmRlmzJgBMzMzZGVl4enTp3nuW6VKFSxatEj8ftrb22PAgAEAciIfP/zwgzgmU1NTjBo1CgAQEhIiHiMyMhJ79uyBlZUVfvrpJzRq1Ei8rVq1alizZg0qVqyIM2fO5Bv70KWPP/4Ytra2AN78LAUGBgIAWrZsCS8vLxgZvflT7+Ligg8++ABA/q+5adOmoUePHuLXtWvXFp8L5e+z4hOdVq1aoUGDBuJ2S0tLzJ07Fx07doSLi4sYXdLkd0F4eDgOHz4MExMT/PTTT+KneADw9ttvY/LkyQCAv/76q/AnS41NmzYhIyMDPXr0wOzZs1XGNHDgQHh7ewPIiZEJahbh09VrgqioWLgTkc6oW7avVatWuHbtGo4fP65SQCgoCtz8csHvvPNOnm116tQBAJUivFatWjA2Nsbdu3excuVKlfiFmZkZNm/ejP/973951sVW58yZMwAAT09Ptbf36dMHRkZGCAkJQVRUlMptxsbGaNasWb7HrlatGmrWrJnvOfv27av2fortly9fFifVXrhwAQDE4lNZrVq10L59+3zHUVzGxsbo3Llznu2KmE9R3hAp69q1K06dOoV169Zh6NChYmwJyIlrHDlyBJ6ennmiFgcPHsTt27fRoUOHPMdMT09HpUqVAACpqal5bnd3d8+zepDijWbdunXzrOGvWAM8LS0N2dnZAIDz588jKysLzZs3V7vmv62trTi28+fPF/wk6ECLFi3ybPP09MTNmzfx22+/qb2Prl5ztWvXBpATf9myZQuio6PF26pVq4YtW7bgq6++Et90a/K7QPEctm7dWhyDsg8//BBHjhzJN85SGMVr6KOPPlJ7+/vvvw9TU1OEhYXleaOj69cEUVHwAkxEpDMFXZDJwsICt2/fxt27d/H8+XM8f/4cd+/eFTOziglmuSl3ZZWPBUAsphTn9vLywtatW7FhwwZs2LAB9evXR+fOndGtWze0adNG7HIX5tGjRwCAX375Bbt371a7j7GxMeRyOZ4+faqSw65QoUKBS0uqe46SkpIQEREBAFi6dKnaVW4U3b7U1FRERkaicuXKYqGUe0lFBcWETF2oVKmS2sel7ntRVKampujevTu6d+8OIKfrfvHiRRw6dAi3b99GSkoKpk6ditOnT6uc28zMDJGRkbh27RqePHmCsLAwPHjwACEhIcjMzAQAtd1RdT9Lik821H0yorhN+XiKn4379+9j+PDhah/XixcvxMdT0gp6zZmYmCAwMBD379/H8+fP8ezZMwQHB4sTJ7V9zTVr1gw9e/bE33//jWXLluH7779H48aN0blzZ3h4eKB58+Zi0Z77WEX9XaCYRJvfhadsbGzy/fkvTFJSEl69egUAaNy4sdp9rKys4OTkhAcPHuDZs2cqn7CUxGuCqDAs3IlIZ/IrWK9cuYLvvvtOJXJgZGSEhg0bolevXjhx4kS+xyxO3GPevHlo3Lgxdu7ciTt37uDx48d4/PgxfvvtNzg4OODLL79Er169Cj2OolNWlMmdr1+/Vvm6sPXg1d2enJws/rsoyx++fv1apai0srJSu1/FihULPVZR6Tp2o46TkxOcnJwwcuRI7Nq1CwsXLsSrV69w6tQp8dOPuLg4fPvtt/Dz8xM/eQByYjC9e/fGhQsXkJCQoPb4ypGn3NQVmOoofjZiYmIQExNT4L65fzZKQn4/b35+fli5cqXKZFITExM0btwYjRo1UrsykkJxvtdr1qzBzp07sW/fPty/fx/BwcEIDg4W3zgvXrwY7u7u4v7F/V2g+F4W9L3TlPLrrqBP4hSvL+X9gdJ5TRDlxsKdiErUvXv3MGHCBGRmZqJNmzYYMGAAXF1d0aBBA1hZWeHixYsFFu7FNWjQIAwaNAjR0dG4fPkyLl26hLNnzyIiIgLTp0/H7t27C4yyADlFwuvXr/HXX3+VyiXmlYuS69evw9rautD7KMcJkpOT1Xbp09PTdTNAHfL29sbNmzfx5ZdfwsPDI9/9hg8fjj///BPXr18Xi09BEPDpp5/ixo0bqFKlCry8vNCsWTM0bNhQ7BJ36tSpRMev+F6NGzdOnOugb86fPy9eKbd79+7o3bs3XFxcUK9ePZibm2PPnj0FFu7FYWxsjFGjRmHUqFEICwvD5cuXcfHiRVy4cAGPHz/GhAkTcPToUdSoUUOj3wWK7rW66JO2lN/wJiUl5XthJsUbsKK8LolKGjPuRFSiduzYgczMTLRv3x5bt27Fe++9h6ZNm4p/NHNnxDWVlpaGu3fvilEGe3t7DBw4EN9//z3Onj2LJk2aIDs7G0ePHi30WIqM6pMnT9TeLggCLl++jGfPnunk4/CKFSuKRUN+50xNTYW/vz/CwsIgCAIsLCzEXLhy91KZ4rnQJ0lJSQgLCytS4ajImCsmX964cQM3btyAiYkJdu3ahU8//RQdO3YUi/aMjAzEx8eX1NABQLxoVH7fJyDn+3H37t0yyzgrrp8wZMgQrFu3DgMHDoSrq6vYndfVay4pKQm3b98Wo0GOjo54//33sXbtWpw8eRI1atRAamoqTp06BUCz3wWK5zu/ibRRUVEYNmwYZs+erTYeVZAKFSqIP2PBwcH5PkZFXEddxp6otLFwJ6ISpfij7uLikidjLggCDh48CED7POi+ffswaNAgLF26NM9tVlZWYpe9KOfp0qULAGDv3r1qbz969CjGjh2LQYMGISUlRYtRv6GY5KZurXYgp+gZPXo0vLy8xAywIhuu7iJFsbGxpTI5srjeffddADmTTAuKIsXFxeHq1aswMjISJ9kqfpZsbGzEN1fKDh8+LGbclWM0utSpUyfIZDJcvHhR7frzycnJ4s9GUd4klgTF86Qut52RkYEjR44A0P415+Pjg/feew8bN27Mc1uVKlXEPLjiPJr8LujYsSNkMhmCgoLUrjL0999/486dO3j+/LkYd1JMfC1KIa943e3atUvt7Xv37kVWVpa4Rj1RWWPhTkQlStEx8/Pzw7Nnz8TtsbGxmDdvHgICAgBoH+vo1asXTE1NceHCBXGZRIUbN27g8OHDAKB2FYjcRowYAVtbW1y8eBGLFy9Wybb6+/vj66+/BpDT0Szs4i5FNWHCBJiZmWHv3r34+eefxQIUyHnu1qxZAwDw8vISi55x48bB0tISR44cwYYNG8SCPjY2Fv/3f/+XJ5OrD/r164emTZsiJSUFXl5e2LdvX543P9euXcOYMWOQkJCA9957T+x0Kn6W4uPj8fvvv4v7Z2dnw9fXF9988424LSMjo0TGX7duXfTr1w+ZmZmYOHEiHjx4IN726tUrTJs2DbGxsahatSr69etXImMojOJ52rdvnzj5EgBevnyJzz77TPy0QNvXnGLewR9//CG+vhROnTqFK1euQCaTifElTX4X1KtXD7169UJmZiamTp2Kly9fircFBgaKF0JTLFcJvInAqCv0c/v4449hZmaGkydP4vvvv1f5ufnzzz/F40+fPr3I8yCIShIz7kRUosaMGYM///wTUVFR6Nu3r7gO85MnT5CZmQl3d3dcv34dSUlJSElJyXeiZWGqV6+OL7/8EgsXLsR3332H9evXo1atWkhMTBQz0kOHDi1S4V61alWsWbMGkydPxs6dO3HgwAE0aNAA8fHxYpe1TZs2Os04N2rUCEuXLsXcuXOxevVqbNmyBXXr1kVUVJS4Ckjfvn0xduxY8T61atXC0qVL8fnnn2PlypXYvn07qlevjgcPHkAul6Nz587icnf6wtTUFBs3bsS0adPEK51+8803qF27NiwsLBAeHi5O+vT09MT8+fPF+zZt2hTdunXDmTNnsGjRImzcuBF2dnZ48eIF4uPjYWtri9q1a+PevXslesn5hQsX4sWLF7h+/Tr69++P+vXrw9TUFI8fP0ZGRgasrKzw888/l8iEyqKYNGkSLl26hPv378PDw0O84vDTp08hl8vRtm1bXL16VWX5Rk00a9YMEyZMwKZNm+Dt7Y2lS5fCwcEBMTExYtE8bdo0cY13TX8XLF68GKGhobhz5w569uyJRo0aITk5WYywfPDBBypLt7q4uODRo0dYuHAhtm/fjhkzZuT7um/YsKH4utu8eTP27t0LJycnldfd+PHjMWTIEK2eKyJdYcediEpUnTp14OvriwEDBqBatWp48uQJIiMj0bRpU3zzzTfYtm0bmjRpAkEQcO7cOa3ONXz4cPz888/o3LkzZDIZ7t27h9evX6NDhw5YtWoVvv322yIfq127dvjrr78wcuRI2Nvb4/79+4iJiUGTJk0wZ84cbN68We2EUG3069cPBw8exJAhQ2BtbY2QkBAkJSWhZcuWWLJkCVasWJGn69enTx/s3r0bPXv2hFwux+PHj9G8eXNs3boVrVq10un4dMXOzg47duyAj48PBgwYAAcHB0REROD+/fuwsLCAp6cnfvnlF6xatSrPc7x27VrMnj0brq6uSEhIwKNHj1C5cmWMHj0af/75Jz788EMA0PpnqSA2NjbYtm0bFixYgBYtWiAyMhKPHj1C1apVMWzYMPj6+hY6AboktWzZEn/88Qd69OiBypUr48GDB4iLi0O7du2wZs0a/Pbbb6hatSpiYmJw+/Ztrc7l7e2NZcuWoU2bNsjMzERISAgyMjLg4eGBzZs3ixdIAjT/XWBra4tdu3bB29sbDRo0wJMnTxAdHY2WLVvihx9+wOLFi1XGNHfuXHTp0gVGRkZ4+vSpyso66vTr1w8HDhzAoEGDYGVlhZCQEAiCgJ49e2Lr1q2YPXu2Vs8RkS7JhOLO5iAiIiIiolLHjjsRERERkQSwcCciIiIikgAW7kREREREEsDCnYiIiIhIAli4ExERERFJAAt3IiIiIiIJYOFORERERCQBLNyJiIiIiCSAhTsRERERkQSwcCciIiIikgAW7kREREREEsDCnYiIiIhIAli4ExERERFJAAt3IiIiIiIJYOFORERERCQBLNyJiIiIiCSAhTsRERERkQSwcCciIiIikgAW7kREREREEsDCnYiIiIhIAli4ExERERFJAAt3IiIiIiIJYOFORERERCQBLNyJiIiIiCSAhTsRERERkQSwcCciIiIikgAW7kREREREEsDCnYiIiIhIAli4ExERERFJAAt3IiIiIiIJYOFORERERCQBLNyJiIiIiCSAhTsRERERkQSwcCciIiIikgAW7kREREREEsDCnYiIiIhIAli4ExERERFJAAt3IiIiIiIJYOFORERERCQBLNyJiIiIiCSAhTsRERERkQSwcCciIiIikgAW7kREREREEsDCnYiIiIhIAli4ExERERFJAAt3IiIiIiIJYOFORERERCQBLNyJiIiIiCSAhTsRERERkQSwcCciIiIikgAW7kREREREEsDCnYiIiIhIAli4ExERERFJAAt3IiIiIiIJYOFORERERCQBLNyJiIiIiCSAhTsRERERkQSwcCciIiIikgAW7kREREREEsDCnYiIiIhIAli4ExERERFJAAt3IiIiIiIJYOFORERERCQBLNyJiIiIiCSAhTsRERERkQSwcCciIiIikgAW7kREREREEsDCnYiIiIhIAli4ExERERFJAAt3IiIiIiIJYOFORERERCQBBlW4x8bGYtOmTZg5cyZCQ0PLejhEREREREVmMIX7sWPH4OHhge3bt+Py5cvo3bs3Vq1aJd4+f/58uLi4qPzn4eEh3i6Xy7F27Vp07twZLVq0wIQJEwot/uPi4uDt7Q13d3e0adMGixYtQmpqqnj73Llz4eLigkmTJqm9/5EjR+Di4gIvLy8tHz0RERERSZ1JWQ+gNKSmpmLevHkYPXo0OnTogICAADRo0AAzZsxAt27d0KJFC9y7dw+TJk3CyJEjxfsZGxuL/163bh1+//13fPfdd3BwcMDy5cvx8ccf46+//oKZmZna806bNg2pqanYunUrEhMT8eWXXyIlJQXLli0T9zE1NcWlS5eQlJQEGxsblfv7+flBJpPp+NkgIiIiIikyiI77o0ePkJKSggEDBojb+vTpg/nz58PW1haCIODhw4dwc3ODvb29+J+dnR0AICMjA1u2bMG0adPQtWtXuLq6YtWqVYiIiMCJEyfUnvPGjRsICAjAsmXL0KRJE7Rv3x6LFy/GoUOHEBkZKe7n5uYGCwsLnD59WuX+SUlJuHDhAlq3bl0CzwgRERERSY1BFO5Vq1aFTCaDv7+/uE0mk8HLywtOTk54/vw5UlJSUL9+fbX3DwkJQXJyMtq3by9uq1ixIt566y0EBgaqvU9QUBDs7e3RoEEDcVubNm0gk8lw7do1cZupqSm6d++OY8eOqdz/5MmTcHFxQe3atTV6zERElL+4J3H4qfFPuL75elkPhYioyAyicHdwcMDYsWOxZMkSLFu2DA8ePFDJp9+/fx8AsH37dnh4eKBHjx5YvHgxXr9+DQCIiIgAANSoUUPluNWqVRNvyy0yMjLP/mZmZrC1tUV4eLjK9j59+uDixYtISkoSt/n5+aFv374aPmIiIirIs/PP8CrkFYL3BZf1UIiIiswgCncAmDNnDrZt24YaNWrg9OnT6NGjB2bNmoXs7Gzcv38fRkZGqFatGtavX4+5c+fi4sWL+OyzzyCXy8UJpbmz7Obm5khPT1d7vtTUVLXZd3X36dChAywtLXHmzBkAQEJCAq5cuYI+ffro4qETEVFuwn//yxbKdhxERMVgEJNTFdzd3SGXy+Hi4gJXV1fMmjULzZs3x6effoqPPvoIlStXBgA4OzvD3t4e77//Pu7cuQMLCwsAOVl3xb8BID09HZaWlmrPZWFhgYyMjDzb09PTYWVlpbJNEZc5fvw4+vfvjxMnTqBFixaoXr26rh46EREpEYScgl2eJS/jkRARFZ1BdNwjIyPh5+cnfi2TydCrVy906dIFV65cgZGRkVi0KzRq1AhATkxGEXmJiopS2ScqKirf4trBwSHP/hkZGYiPj0e1atXy7O/p6Ynz588jOTkZR48ehaenZ/EfKBERFYs8m4U7EUmHQRTuAQEBmDFjBp48eaKy/dWrV7C1tcXs2bMxZswYldvu3LkDAGjYsCFcXV1hY2ODq1evircnJiYiODgY7u7uas/p7u6OiIgIPHv2TGUcANSuFNOuXTtYWVnB19cXQUFB6N27t0aPlYiIioBRGSKSIIMo3D08PGBvb4+5c+fiyZMniI+Px+rVq3Hr1i0MGzYMvXv3xpUrV+Dj44Pnz5/j3Llz+OKLL9CvXz80aNAAZmZmGDlyJFasWIFTp04hJCQEM2bMgIODA3r16gUAyM7ORnR0NNLS0gAAzZs3R6tWrTBjxgzcvn0b/v7+WLBgAQYNGqS2S29iYoKePXti5cqVcHd3F5eiJCIi3ROjMuy4E5GEGETG3draGlu2bMGSJUuwZMkSAECDBg3g4+ODVq1aAQBWr16NjRs3YtOmTahQoQL69++P6dOni8eYNm0asrKyMH/+fKSlpcHd3R2bN2+GqakpACA8PBzdu3fH0qVLMWTIEMhkMvj4+GDRokUYPXo0zM3N8e6772LevHn5jtPT0xN79+7lajJERKWEGXcikhKZoGg7GAh/f38EBgZi6tSpZT0UIiIqI9d/uY6/JvwFhxYOmHhjYlkPh4ioSAyi467M0dERMpmsrIdBRERliFEZIpIigyzcHR0dy3oYRERUljg5lYgkyCAmpxIREanDjDsRSQkLdyIiMjiMyhCRFLFwJyIiw8OoDBFJEAt3IiIyWOy4E5GUsHAnIiKDI0ZlmHEnIglh4U5ERIaHURkikiAW7kREZHA4OZWIpIiFOxERGSx23IlISli4ExGR4fmvXmfGnYikhIU7EREZHEZliEiKWLgTEZHBYlSGiKSEhTsRERkeRVSGHXcikhAW7kREZHAUURkhWxD/TUSk71i4ExGR4VGq1QU5C3cikgYW7kREZNCYcyciqWDhTkREBkc5HsOcOxFJBQt3IiIyPEpNdq7lTkRSwcKdiIgMGqMyRCQVLNyJiMjgMCpDRFLEwp2IiAyP8qoy7LgTkUSwcCciIoOj0nFnxp2IJIKFOxERGTRGZYhIKli4ExGR4WFUhogkiIU7EREZHE5OJSIpYuFOREQGjRl3IpIKFu5ERGR4GJUhIgli4U5ERAaHURkikiIW7kREZHjYcSciCWLhTkREBo0ZdyKSChbuRERkcBiVISIpYuFORESGh1EZIpIgFu5ERGTQ2HEnIqlg4U5ERAZHJSrDjDsRSQQLdyIiMjyMyhCRBLFwJyIig8aoDBFJBQt3IiIyOMpRGXbciUgqWLgTEZHhUarVmXEnIqlg4U5ERAaH67gTkRSxcCciIoPGqAwRSQULdyIiMjzKURl23IlIIli4ExGRweE67kQkRSzciYjIoDEqQ0RSwcKdiIgMD6MyRCRBLNyJiMjgcB13IpIiFu5ERGR4uI47EUkQC3ciIjJojMoQkVSwcCciIoPDqAwRSRELdyIiMjycnEpEEsTCnYiIDBoz7kQkFSzciYjI4DAqQ0RSxMKdiIgMD6MyRCRBLNyJiMjgsONORFLEwp2IiAwaM+5EJBUs3ImIyPAwKkNEEsTCnYiIDA6jMkQkRSzciYjIoLHjTkRSwcKdiIgMj3JUhhl3IpIIFu5ERGRwGJUhIili4U5ERIaHk1OJSIJYuBMRkUFjx52IpIKFOxERGRzlqAwz7kQkFSzciYjI8Cg12dlxJyKpYOFOREQGjRl3IpIKFu5ERGRwuKoMEUkRC3ciIjI8XMediCSIhTsRERkclcmpjMoQkUSwcCciIoPGqAwRSQULdyIiMjy8ABMRSRALdyIiMjhcx52IpMigCvfY2Fhs2rQJM2fORGhoaFkPh4iI9ACjMkQkFQZTuB87dgweHh7Yvn07Ll++jN69e2PVqlVq950/fz48PDxUtsnlcqxduxadO3dGixYtMGHChEKL/7i4OHh7e8Pd3R1t2rTBokWLkJqaKt4+d+5cuLi4YNKkSWrvf+TIEbi4uMDLy6uYj5aIiArEqAwRSZBBFO6pqamYN28eRo8ejeXLl2PEiBFYsWIF1q9fj5s3b6rse/LkSezbty/PMdatW4fff/8d33zzDXbv3g25XI6PP/4YGRkZ+Z532rRpePbsGbZu3Yo1a9bg3LlzWLhwoco+pqamuHTpEpKSkvLc38/PDzKZTKPHTERE+eM67kQkRQZRuD969AgpKSkYMGCAuK1Pnz6YP38+bG1txW1RUVH46quv0KZNG5X7Z2RkYMuWLZg2bRq6du0KV1dXrFq1ChEREThx4oTac964cQMBAQFYtmwZmjRpgvbt22Px4sU4dOgQIiMjxf3c3NxgYWGB06dPq9w/KSkJFy5cQOvWrXXwDBARkQqu405EEmQQhXvVqlUhk8ng7+8vbpPJZPDy8oKTkxOAnO7L3LlzMXDgwDyFe0hICJKTk9G+fXtxW8WKFfHWW28hMDBQ7TmDgoJgb2+PBg0aiNvatGkDmUyGa9euidtMTU3RvXt3HDt2TOX+J0+ehIuLC2rXrq3x4yYiosIxKkNEUmEQhbuDgwPGjh2LJUuWYNmyZXjw4EGefPrWrVsRHR2NmTNn5rl/REQEAKBGjRoq26tVqybelltkZGSe/c3MzGBra4vw8HCV7X369MHFixdV4jJ+fn7o27dv0R8kEREVGaMyRCRFBlG4A8CcOXOwbds21KhRA6dPn0aPHj0wa9YsZGdnIyQkBD4+Pli+fDnMzMzy3FcxoTT3bebm5khPT1d7vtTUVLXHUnefDh06wNLSEmfOnAEAJCQk4MqVK+jTp49Gj5WIiArByalEJEEmZT2A0uTu7g65XA4XFxe4urpi1qxZaN68Ofbs2YNPP/0Urq6uau9nYWEBICfrrvg3AKSnp8PS0jLf+6ibuJqeng4rKyuVbYq4zPHjx9G/f3+cOHECLVq0QPXq1TV9qEREVETMuBORVBhExz0yMhJ+fn7i1zKZDL169UKXLl1w4sQJPHjwAD4+PmjZsiVatmyJDRs24OXLl2jZsiWCgoLEyEtUVJTKcaOiovItrh0cHPLsn5GRgfj4eFSrVi3P/p6enjh//jySk5Nx9OhReHp6avuwiYgoH4zKEJEUGUThHhAQgBkzZuDJkycq21+9eoXatWvjxIkTOHToEHx9feHr64sPP/wQ1apVg6+vL9zc3ODq6gobGxtcvXpVvG9iYiKCg4Ph7u6u9pzu7u6IiIjAs2fPVMYBQO1KMe3atYOVlRV8fX0RFBSE3r176+KhExGROozKEJEEGURUxsPDA/b29pg7dy4GDx6M+Ph4rF69Grdu3cLs2bNRt25dlf0rVaoEExMTle0jR47EihUrYGdnh1q1amH58uVwcHBAr169AADZ2dmIjY1FhQoVYGFhgebNm6NVq1aYMWMGFi5ciJSUFCxYsACDBg1S26U3MTFBz549sXLlSri7u8POzq5knxQiIkOmVLiz405EUmEQHXdra2ts2bIF5ubmWLJkCfbs2YMzZ87Ax8cHrVq1KtIxpk2bhmHDhmH+/PkYPnw4jI2NsXnzZpiamgIAwsPD0alTJzGSI5PJ4OPjA0dHR4wePRrTp09Hly5d8lyASZmnpyeSkpK4mgwRUSlixp2IpEImKAf9DIC/vz8CAwMxderUsh4KERGVEd8xvrj12y0AQKW6lTD96fSyHRARUREYRFRGmaOjI2QyWVkPg4iIyhKjMkQkQQZZuDs6Opb1MIiISE9wcioRSYVBZNyJiIiUcTlIIpIiFu5ERGR4lJeD5ORUIpIIFu5ERGRwlDvujMoQkVSwcCciIoPGqAwRSQULdyIiMjy8cioRSRALdyIiMjgqURlm3IlIIli4ExGRQWNUhoikgoU7EREZHuULMMkFGNhFxIlIoli4ExGRwcldqAtyFu5EpP9YuBMRkeHJVacz505EUsDCnYiIDB5z7kQkBSzciYjI4OSOynBJSCKSAhbuRERkeHI12NlxJyIpYOFOREQGjxl3IpICFu5ERGRwGJUhIili4U5ERIaHURkikiAW7kREZHDYcSciKWLhTkREBo8ZdyKSAhbuRERkeBiVISIJYuFOREQGh1EZIpIiFu5ERGTw2HEnIilg4U5ERIYnV53OjDsRSQELdyIiMjiMyhCRFLFwJyIig8eoDBFJAQt3IiIyPLmjMuy4E5EEsHAnIiKDkycqw4w7EUkAC3ciIjI8XMediCSIhTsRERk8RmWISApYuBMRkcHJHZVhx52IpICFOxERGR6u405EEsTCnYiIDB6jMkQkBSzciYjI4DAqQ0RSxMKdiIgMD9dxJyIJYuFOREQGh+u4E5EUaVS4p6am6nocREREZYZRGSKSAo0K92HDhmHRokW6HgsREVHpYFSGiCRIo8I9NDQUFhYWuh4LERFRqeDkVCKSIo0Kd0dHRzx79kzXYyEiIioTzLgTkRSYaHKnb7/9FhMnTsSsWbPQp08f1K5dG5aWlmr3rV27tlYDJCIi0jlGZYhIgjQq3MeOHYusrCwcOXIER44cyXc/mUyG4OBgjQdHRERUEhiVISIp0qhwd3Nz0/U4iIiISg877kQkQRoV7tu3b9f1OIiIiEqfDIDAjDsRSQMvwERERAZHEZUxMsn5M8ioDBFJgVaF+/Hjx/Hxxx+jQ4cOYnxm3759+P7775GUlKSTARIREencf3W6sakxAEZliEgaNIrKAMD8+fOxf/9+CIIAmUwmbn/w4AG2bduGgIAA/Pbbb7C2ttbJQImIiHSNHXcikhKNOu5//PEH/vjjD3Ts2BGHDh3CpEmTxNsmTpyId999F//++y927Nihs4ESERHpiiIqIzPOaTwx405EUqBR4b5nzx7UrVsX69evh4uLC4yNjcXbqlSpglWrVqFhw4YFLhVJRERUZv5rsCs67ozKEJEUaFS4P3z4EB4eHjAxUZ+0kclk6NSpE8LCwrQaHBERUUlQdNwVGXdGZYhICjQq3GUyGVJTUwvcJykpSSX7TkREpG/EqAw77kQkARoV7q6urjh//jzS09PV3p6UlISzZ8/CxcVFq8ERERGViNxRGWbciUgCNCrcR44ciZcvX2LSpEm4f/8+srOzxdvu37+PiRMn4tWrV3j//fd1NlAiIiJd4TruRCRFGi0H6enpievXr2PHjh0YOHCguL1ly5ZIS0uDIAgYNGgQBg0apKtxEhER6RwnpxKRlGi1jnuHDh2we/du/PPPP0hMTISZmRmaN2+OYcOGoV+/frocJxERke7kisqw405EUlCkwn38+PHw9PTE0KFDAQAvX75ExYoV4eHhAQ8PjxIdIBERka7ljsow405EUlCkjHtQUBCeP38uft29e3ds3bq1pMZERERUsriOOxFJUJE67hYWFjh37hx69+6NSpUqQRAEvH79Gi9fviz0vjVr1tR6kERERCWBURkikpIiFe4eHh44ePCgGJWRyWTYtm0btm3bVuD9ZDIZgoODtR8lERGRDnFVGSKSoiIV7gsWLECVKlXwzz//ICMjA9evX0eNGjVQo0aNkh4fERGR7nEddyKSoCIV7paWlpg1a5b4taurK4YOHYopU6aU2MCIiIhKGjPuRCQlGi0HuXTpUjRu3FjXYyEiIioVjMoQkRRpdOXUwYMHw9XVVeWKqQBw/fp1bNy4EX5+fnluK4pRo0bB19e3wH22bduG3r17F/vYREREIq4qQ0QSpFHhDgCrVq1CmzZtkJKSAgDw9fXFiBEjsGrVKnh7e8PLywtpaWkFHkMQBMjlcsjlcmRnZyMgIABhYWHittz/paenIyAgAOHh4ZoOm4iIiOu4E5EkaRSV2bVrFzZs2AA7OzskJibC0tISq1atgomJCSZNmoTQ0FD4+vpiy5Yt+Oyzz/I9zi+//IKVK1eqbPvpp5/w008/FXh+FxcXTYZNRESkglEZIpISjQr3gwcPombNmvD19UXFihVx8+ZNREZGYtCgQZg8eTIAICwsDH5+fgUW7mPGjMHff/+NV69eAQDCw8NhY2ODChUq5NlXJpPBxMQENWvWVJkoS0REVGyMyhCRBGlUuD969AhDhw5FxYoVAQAXL16ETCZD165dxX2aN2+OnTt3FngcU1NT7N27V/za1dUVo0eP5mo1RERUojg5lYikSKPCXRAEmJqail8rCve2bduK29LS0mBpaVms427btg21atXSZEhERETFZmTMjDsRSYdGhbuTkxNu3rwJAHjx4gXu3LmDt956C5UrVwYApKen48yZM6hdu3axjtumTRtNhkNERFQ8/zXYZSYyAIzKEJE0aFS4v/vuu1i5ciW8vLwQHh4OuVyOwYMHAwDOnj2L1atXIzw8HJMmTSr2sU+dOoXff/8dYWFhyMjIED/OVCaTyXDmzBlNhk5ERCT+bTE2Nc75mlEZIpIAjQr38ePH4+nTpzh06BDkcjkGDBiA4cOHA8hZyz0kJAQfffQRhg0bVqzjnjhxAv/3f/+ntlgnIiLSGU5OJSIJ0qhwNzY2xrfffosvvvgCAGBjYyPeNnDgQAwZMgROTk7FPu7mzZthbGyMxYsXo0ePHuLkV12JjY3F/v37cffuXcyYMaPYUR4iIipfZMb/RWWYcSciCdD4AkxATsGuXLQDQIMGDTQq2gHg3r178PT0xJAhQ3RetB87dgweHh7Yvn07Ll++jN69e2PVqlXi7X5+fujfvz+aNWuGHj16YNOmTSqdf7lcjrVr16Jz585o0aIFJkyYgNDQ0ALPGRcXB29vb7i7u6NNmzZYtGgRUlNTxdvnzp0LFxeXfCNFR44cgYuLC7y8vLR89EREpIyryhCRFGnUcVe4ceNGgVl0AMWKy5iZmaFKlSraDEmt1NRUzJs3D6NHj0aHDh0QEBCABg0aYMaMGejWrRtev36NWbNmYd68eejatSvu3r2LOXPmwMzMDKNHjwYArFu3Dr///ju+++47ODg4YPny5fj444/x119/wczMTO15p02bhtTUVGzduhWJiYn48ssvkZKSgmXLlon7mJqa4tKlS0hKSsrzJsjPzw8ymUznzwcRkcH770+WIuPOqAwRSYFGhXtsbCwmTJiA4ODgfPcRBAEymaxYhfvbb7+NgIAATYZUoEePHiElJQUDBgwQL/bUp08fxMTEwNbWFo8fP8Ynn3widrZr166NQ4cO4dKlSxg9ejQyMjKwZcsWzJo1S1yrftWqVejcuTNOnDiBfv365TnnjRs3EBAQAD8/PzRo0AAAsHjxYnz88ceYOXMmqlevDgBwc3PDo0ePcPr0aQwYMEC8f1JSEi5cuIDWrVvr/PkgIqIciqgMO+5EJAUaFe5r1qzBv//+CycnJ3Tu3BkVK1bUSWfY29sbH3zwAZYuXYpPP/0Utra2Wh8TAKpWrQqZTAZ/f380bNgQQM7KNIpCXTnaI5fL4e/vj8DAQPEqsCEhIUhOTkb79u3F/SpWrIi33noLgYGBagv3oKAg2Nvbi0U7kLPcpUwmw7Vr1+Dp6Qkgp+PevXt3HDt2TKVwP3nyJFxcXFC7dm28ePFCJ88DERHlyB2VYcadiKRAo8L99OnTaNCgAQ4ePJhvTEQTy5cvR7Vq1bBt2zZs27YNtra2MDc3z7NfcZeDdHBwwNixY7FkyRI0btwYjo6OCA0NzTM59eXLl+jZsyeysrLQqVMncaWciIgIAECNGjVU9q9WrZp4W26RkZF59jczM4OtrS3Cw8NVtvfp0wdTp05Vicv4+fmhb9++CAkJKfLjJCKiIuKqMkQkQRpNTk1ISEC3bt10WrQDOWvAP378GIIgQBAExMXFISIiIs9/uQvfopgzZw62bduGGjVq4PTp0+jRowdmzZqF7OxscZ+KFSti3759WL16NUJCQjB79mwAECeU5n685ubmSE9PV3u+1NRUtc+Puvt06NABlpaW4puRhIQEXLlyBX369Cn24yQiosJxHXcikiKNOu6Ojo5iVlyXSrq77O7uDrlcDhcXF7i6umLWrFlo3ry5GJmxsbHBW2+9hbfeegvZ2dnw9vbG559/DgsLCwBARkaG+G8g5wqxlpaWas9lYWGBjIyMPNvT09NhZWWlsk0Rlzl+/Dj69++PEydOoEWLFmIOnoiISoa4HCQ77kQkARp13IcNG4bjx48XuhyivoiMjISfn5/4tUwmQ69evdClSxdcuXIFQUFBuH37tsp9XFxcAABRUVFi5CUqKkpln6ioqHyLawcHhzz7Z2RkID4+HtWqVcuzv6enJ86fP4/k5GQcPXpUzMATEVEJyB2VYcadiCRAo47722+/jYYNG2LYsGHo378/6tWrpzaLDhRvOciXL18Wed+aNWsWed+AgADMmjULjRs3Vtn+6tUr1K9fH9u2bUNUVBR2794t3nbr1i2YmJjAyckJ1tbWsLGxwdWrV1GnTh0AQGJiIoKDgzFy5Ei153R3d8eKFSvw7Nkz1K1bVxwHALUrxbRr1w5WVlbw9fVFUFAQVqxYUeTHR0RExcN13IlIijQq3N9//33IZDIIgoAdO3aoXVFGk+UgPTw8irw6zd27d4t1XHt7e8ydOxeDBw9GfHw8Vq9ejVu3bok59pEjR2LVqlUYMmQIgoODsXz5cowaNQqVK1cWb1+xYgXs7OxQq1YtLF++HA4ODujVqxcAIDs7G7GxsahQoQIsLCzQvHlztGrVCjNmzMDChQuRkpKCBQsWYNCgQWq79CYmJujZsydWrlwJd3d32NnZFfnxERGRZjg5lYikRKPCffLkySVyYaCWLVuqPW5qaipCQ0ORlJSEFi1aoFmzZsU6rrW1NbZs2YIlS5ZgyZIlAHKu8Orj44NWrVoBADZs2IDVq1dj69atsLOzw7hx4zBhwgTxGNOmTUNWVhbmz5+PtLQ0uLu7Y/PmzTA1NQUAhIeHo3v37li6dCmGDBkCmUwGHx8fLFq0CKNHj4a5uTneffddzJs3L99xenp6Yu/evejbt2+xHh8RERVTrqgMO+5EJAUyIb9LnuoZuVyOX3/9FWvXrsXOnTvh5uam0XEUa7RPnTpVxyMkIiKpWNtwLeIexWHg1oE4NOYQzCuaY27C3LIeFhFRgTSanFpUSUlJOjuWkZERxo8fj9atW2P16tUaH8fR0RFt2rTR2biIiEiCuI47EUmQRlEZALh37x7++usvxMTEQC6XixN9BEFAVlYW4uPjcePGDdy8eVNXYwUANGnSBL///rvG93d0dISjo6MOR0RERFLFqAwRSYlGhfv169cxevRoZGVliZNQlRM3iq8VK7DoUkhISInk64mIyHDkXlWGHXcikgKNCveNGzciMzMTEyZMQNu2bbFw4UK4ublh6NChePDgATZt2gRjY2Ps37+/WMe9cuWK2u2CICA5ORmnT5/GxYsX8c4772gybCIiohxcx52IJEijwv3WrVto27YtvL29AQBt2rTBgwcP0LlzZ3Tu3BmdOnXCsGHDsHHjRnGfohg7dmyB3XRBEGBjY4OZM2dqMmwiIiIVisIdwptljImI9JVGhfvr16/RpEkT8euGDRvi8OHDkMvlMDIygrOzM9555x1cuHChWIX7oEGD8v2laWpqigYNGmDgwIGwtbXVZNhEREQA8kZlgJycu8yEhTsR6S+NCndra2tkZ2eLXzs6OiIzMxOhoaHiVULr1auHq1evFuu43333nSbDISIiKp5cURkgJ+eu/DURkb7RqHB3cXHB1atXxY8V69evD0EQ8O+//4qFe1RUlFYDy8jIwKNHj5CSkgJbW1vUrl0bZmZmWh2TiIgIUN9xl2fJAfOyGhERUeE0Ktz79++Pr776CuPGjcMXX3yBhg0bwtHREStXroSjoyPCwsJw7NgxuLq6FvvYycnJWLZsGQ4dOoSMjAxxu6WlJfr27Ys5c+bAxsZGk2ETERGpyB2VISLSZxoV7sOGDUNQUBAOHTqEu3fvolGjRpg8eTLmzZuHDz74QNxv4sSJxTpuWloavLy8EBwcjIoVK6JZs2aoVq0aEhMTcevWLezbtw///vsvdu/eze47ERFpLp+oDBGRPtOocJfJZFi2bBlGjRqFqlWrAgAGDx6MChUqwNfXF+bm5hgyZAg6duxYrONu3rwZwcHBGDx4ML744gtUqFBBvC0jIwNLlizB3r178dtvv2HChAmaDJ2IiCjfyalERPpMJihfOamIVqxYgZYtW6J79+46HUzfvn1hZGSEQ4cOwcgo7wSh7OxsDB48GDKZDIcOHdLpuYmIyHCsdFyJ1y9e45Prn2Bjq40AAO8Ib9hUZxSTiPSXRtPnd+3ahePHj+t6LAgNDUX79u3VFu0AYGxsjHbt2uH58+c6PzcRERkQpZYVL8JERFKhUeFubGyMSpUq6XosMDc3R3x8fIH7xMfHw8REo4QPERERgDdRGZlMBplxztrtjMoQkb7TqHAfNWoUfH19cfnyZZ0Oxs3NDWfOnMGLFy/U3h4WFobTp0/Dzc1Np+clIiIDJQOMjP/ruHNyKhHpOY1a13FxcTA3N8f48eNRsWJF1KpVC5aWlnn2k8lk2LFjR5GPO2bMGEycOBFjx47F9OnT0bZtW1SoUAGRkZEICAiAj48PkpOTMWrUKE2GTURElOO/5jo77kQkJRoV7jt37hT/nZCQgISEBLX7yWTFu3T0O++8gylTpsDHxwfe3t55bhcEAZMnT0a3bt2KN2AiIiIlyusyMONORFKhUeF+6tQpXY9DNGXKFHTp0gX79u1DcHAwkpKSYG1tjSZNmmDo0KFo0aJFiZ2biIgMhKJuZ1SGiCSkSIV79+7dMXr0aDGiUqtWrRIdVLNmzdCsWbMSPQcRERGjMkQkJUUq3F+8eIHExMSSHksecnn+3Y/8lowkIiIqjEpUhh13IpIIvVpXMTs7G5s2bcLBgwfx4sULZGdnq91PJpMhODi4lEdHRETlhnJUhhl3IpIIvSrcf/75Z/j4+AAA7OzsYGFhUcYjIiKi8oxRGSKSkiIX7sVdIUYTf/75J6pVq4Zt27bBycmpxM9HRESGSYzKcHIqEUlIkQv33377DQcOHCjWwWUyGU6ePFnk/SMjI/HRRx+xaCciopKl1Fxnx52IpKLIhXtiYmKxJ6gWt0tft25dxMfHF+s+RERExaXouMtkMmbciUgyily4Ky8HWVJGjx6NJUuWYOzYsXB2di7RcxERETEqQ0RSUuTCvUKFCiW+fvvQoUNx9+5dDB06FN26dYOjoyPMzc3z7CeTyTBt2rQSHQsREZVjjMoQkQTp1aoyN27cwIEDB5CZmYkTJ07kux8LdyIi0oZKVIYddyKSCL0q3L///nukpKTA09MTrVu3hpWVVVkPiYiIyjOu405EEqJXhXtISAh69uyJlStXlvVQiIioPGNUhogkqEiFe0hISEmPAwBgaWmJOnXqlMq5iIjIcDEqQ0RSZFTWA1DWvXt3nD17FpmZmWU9FCIiKs8UzXUZO+5EJB16FZWZOXMmRowYgTFjxsDLywtOTk6wtrZWu2/t2rVLeXRERFTecB13IpISvSrce/fujczMTDx+/BjXr1/Pdz+ZTIbg4OBSHBkREZUniqgMwHXciUg69Kpwd3FxKdJ+xb0iKxERkQpGZYhIgvSqcN++fXuBt2dnZ+P48ePYs2dPKY2IiIjKM05OJSIp0avCPT8vX77Enj17sH//fsTExJT1cIjUCt4fDKsqVnDq6lTWQyGiQqhEZZhxJyKJKFLhPnv2bI0OLpPJsGzZMo3uKwgCzp49i927d+PixYuQy+UQBAE1atTA0KFDNTomUUlJeZWCfe/tg1VVK3we9XlZD4eICsOoDBFJUJEK9z///FOjg2tSuL969Qr79u3Dvn37EB4eDgAwNjaGh4cH3n//fXTp0oUZd9I7aQlpgACkJ6SX9VCIqAi4jjsRSVGRCvdt27aV9Dhw5coV7Nq1C6dPn0Z2djYEQUD9+vXx5MkTDBs2DAsXLizxMRBpSp6Z8wdf+eN3IpIAdtyJSEKKVLi3adOmRE6ekJCAAwcOYM+ePXj27BkEQUClSpXQt29fDBo0CM2aNYOrq2uJnJtIl7IzsgEAgpx/+IkkQemlyow7EUlFiU1OlcvluHTpEjp37pzvPl26dEFGRgYsLCzQu3dv9OvXD++88w5MTU1LalhEJSI7M6dwB+t2IklQjsooOu6MyhCRvtO4cN+1axcOHjyImJgYceIokPPLMCsrC69fv0ZmZibu3r2b7zHS09NhZWWFUaNGoWfPnmjSpImmwyEqU4zKEEmU7M0FmBiVISJ9p1HhfvDgQSxatKjAfWxsbDBgwIAC95k6dSp8fX2xfv16bNiwAVWqVEH//v0xcOBARmRIUthxJ5IYpdcqO+5EJBVGmtxpz549MDU1xS+//ILbt2/Dzc0NH3zwAW7fvo0//vgDLVq0QFZWFsaOHVvgcSZPnoy///4bW7duRb9+/ZCUlIRff/0VgwcPxoABA7B582aNHhRRaVNk3AF23YmkQGVVGWbciUgiNCrcHz58iO7du6NTp04wMzNDixYtEBAQADMzM7i5uWHDhg2wsLDApk2binS8du3aYfny5bh48SIWLlwINzc33L9/HytWrIBMJoO/vz98fX2RmpqqyXCJSpwiKgOAXXciKVBax51RGSKSCo0K97S0NNSpU0f8ul69enj27BkyMjIAAJUqVYKHhwdu3bpVrOPa2Njgww8/xL59+3DkyBGMGTMGVapUwdOnTzFv3jx07NgRX3zxBQIDAzUZNlGJEaMy4MoyRFLCyalEJCUaFe6VK1dGYmKi+LWjoyMEQcCTJ0/EbVWrVkVERITGA2vQoAHmzJmDc+fOwcfHB++88w4yMjJw4MABjB49WuPjEpUERmWIpEX5dcqOOxFJhUaFe/PmzXHq1CnExcUBABo1agRBEHDlyhVxn3v37sHa2lrrARobG6NHjx5Yv349zp49C29vbzg5OWl9XCJdYlSGSGKUozLMuBORRGi0qszIkSNx6tQp9O/fH8uWLUPHjh3RsmVLrFmzBpmZmXjx4gXOnz+Pbt266XSwVatWxYQJEzBhwgSdHpdIW4zKEEkTozJEJCUaddzbtWuHb775BpmZmUhOTgYAzJ49GwCwcuVK7N69G5UqVcKMGTN0N1IiPabccWdUhkhaGJUhIqnQ+AJMw4YNw6BBg5CdndNpbNmyJY4ePYoTJ07AwsIC3bp1g729vc4GSqTPlDPujMoQ6TeVN9cyruNORNKhUcfd19cXISEhMDExgbm5ubjdwcEBo0aNwvvvv49nz57Bx8dHZwMl0meMyhBJiHLdznXciUhCNCrc586di1OnThW4z6lTp4q8jjuR1DEqQyRRXMediCSkSFEZX19fXL58WWXbiRMn8OzZM7X7Z2Zm4vz586hQoYL2IySSAOWOO6MyRPot95trRVSGhTsR6bsiFe6tW7fGggULxAssyWQy3Lt3D/fu3Svwfp9++qn2IySSAJV13BmVIdJvuaMy/3XcmXEnIn1XpMK9du3a2Lt3LxITEyEIAkaPHo3Bgwdj8ODBefaVyWQwMTFBjRo14ODgoPMBE+kjRmWIJIrruBORhBR5VRlXV1fx34MHD0aPHj3Qpk2bEhkUkdQwKkMkHYzKEJFUabQc5NKlS8V/Z2Rk4NGjR0hJSYGtrS1q164NMzMznQ2QSApUOu6MyhDpN0ZliEiiNF7HPTk5GcuWLcOhQ4fE7DsAWFpaom/fvpgzZw5sbGx0MkgifaeScWdUhkiv5beOOzvuRKTvNCrc09LS4OXlheDgYFSsWBHNmjVDtWrVkJiYiFu3bmHfvn34999/sXv3bnbfySAwKkMkTVzHnYikRKPCffPmzQgODsbgwYPxxRdfqCz7mJGRgSVLlmDv3r347bffMGHCBJ0NlkhfMSpDJCG5XqKMyhCRVGh0ASY/Pz80atQI//vf//Ks1W5mZoavv/4azs7OOHz4sE4GSaTvGJUhkg5GZYhIqjQq3ENDQ9G+fXsYGam/u7GxMdq1a4fnz59rNTgiqVDuuDMqQyQdnJxKRFKiUeFubm6O+Pj4AveJj4+HiYnGc1+JJEU5486oDJGeyx2VYcadiCRCo8Ldzc0NZ86cwYsXL9TeHhYWhtOnT8PNzU2rwRFJBS/ARCQdjMoQkVRpVLiPGTMGr1+/xtixY+Hn54eYmBhkZGQgNDQU+/fvh5eXF5KTkzFq1Chdj5dILyln3BmVIdJzXMediCSqSFkWX19fuLq6ildPfeeddzBlyhT4+PjA29s7z/6CIGDy5Mno1q2bbkdLpKcYlSGSKHbciUhCilS4z507F1OmTBELdwCYMmUKunTpgn379iE4OBhJSUmwtrZGkyZNMHToULRo0aKkxkykdxiVIZKO3K9RZtyJSCq0mj3arFkzNGvWTFdjIZIsXoCJSEIYlSEiidIo4y5VsbGx2LRpE2bOnInQ0NCyHg6VIyrruDMqQyQdjMoQkYQYTOF+7NgxeHh4YPv27bh8+TJ69+6NVatWibefPn0aQ4cORcuWLeHh4YFly5YhLS1NvD09PR2LFi1C+/bt0bJlS3h7eyM2NrbAc4aFhWHixIlo1aoVOnXqhNWrVyM7+02B5+XlBRcXFyxZskTt/Tdu3AgXFxfMnTtXy0dPJY1RGSLpyDcqw447Eem5IkdlQkJC4OvrW+wTDBo0qNj30bXU1FTMmzcPo0ePRocOHRAQEIAGDRpgxowZ6NatG7KysjBlyhRMmzYN7777Lp49e4YFCxYgPj4eS5cuBQAsXLgQQUFB+PHHH8Wrw06bNg07duxQe87MzEyMHz8eTk5O2L17N54/f44vv/wSRkZGmDZtmrifqakpTpw4gS+//BIymUzlGH5+fnm2kX5iVIZIQvKLyjDjTkR6rsiF+6lTp3Dq1Klin0AfCvdHjx4hJSUFAwYMwKtXrwAAffr0QUxMDGxtbeHj44O2bdti0qRJAAAnJyfMmDED8+fPx6JFixAXFwdfX1+sX78eb7/9NgBg5cqVePfdd3Hjxg20bNkyzzmPHz+Oly9fYu/evahUqRKcnZ0RExOD77//HpMmTYKZmRkAoG3btrh8+TKuX7+O1q1bi/d/8uQJnj59iiZNmpT000M6oNJxZ1SGSK9xHXcikqoiF+7Ky0FKTdWqVSGTyeDv74+GDRsCyOmyeHl5AQDGjRsHIyPV1JCRkREyMzORlJSEa9euAQDatWsn3l6vXj1Ur14dgYGBagv3oKAgNGnSBJUqVRK3tWvXDklJSbh79y6aN28OALC3t8fbb7+NY8eOqRTufn5+6Nq1K2JiYnT0LFBJUsm4MypDJBmcnEpEUlLkwr179+6YMmVKSY6lxDg4OGDs2LFYsmQJGjduDEdHR4SGhqJ27doAgLfeektl/8zMTGzduhVubm6ws7NDZGQkKleuDHNzc5X9qlWrhoiICLXnjIiIgIODQ579ASA8PFws3IGc7v+GDRvwxRdfiNGYo0eP4v/+7/+wbds27R48lQpGZYgkJNdrVJFxZ8ediPSdwUxOnTNnDrZt24YaNWrg9OnT6NGjB2bNmqUyWRQAsrKyMHv2bDx48ABff/01gJyMvCLaoszc3Bzp6elqz5eWlpbnPorCP/d9evfujejoaNy4cQMAcP/+fYSHh+Odd97R7MFSqWNUhkg68ovKMONORPpOq3Xcpcbd3R1yuRwuLi5wdXXFrFmz0Lx5czEyk5SUhOnTpyMgIAA+Pj7iGvUWFhbIyMjIc7z09HRYWlqqPZe6+ygKdisrK5XtVapUgbu7O44fP45WrVrBz88PPXv2VPtmgfSTypVTGZUhkgxGZYhISgyi4x4ZGQk/Pz/xa5lMhl69eqFLly64cuUKACAqKgojRozAzZs3sXnzZpVut4ODA+Lj4/MU4lFRUahevbraczo4OCAqKirP/gDU3sfT0xPHjx+HIAg4evQoPD09NXuwVCaUM+6MyhDpuVyvUU5OJSKpKFLhPmXKFLRt27akx1JiAgICMGPGDDx58kRl+6tXr2Bra4uEhASMHj0asbGx2LlzJ9zd3VX2a926NeRyuThJFchZ9SUyMjLPvgru7u4IDg5GUlKSuM3f3x/W1tZqJ/n27NkT0dHR2LNnDxISEtChQwdtHjKVMkZliKQjd1SG67gTkVQUuXDPr0CVAg8PD9jb22Pu3Ll48uQJ4uPjsXr1aty6dQvDhg3D0qVLERoaiuXLl8POzg7R0dHif9nZ2ahevTr69u2L+fPn4+rVq7h9+zZmzpyJNm3aoEWLFgCAjIwMREdHi135Hj16wN7eHtOnT0dISAhOnjyJlStXYty4cWojMHZ2dmjbti2WL1+OXr16wcTEoFJMkiYIgko2llEZIungOu5EJCUGEZWxtrbGli1bYG5ujiVLlmDPnj04c+YMfHx80Lx5c/j5+SEzMxOjR49Gp06dVP4LDw8HAHzzzTdo3749pkyZgvHjx6N+/fpYu3ateI4bN26gU6dO4gRTc3Nz/PLLL5DL5Xj//fexaNEifPTRR/jss8/yHWefPn2QlJSEvn37luwTQjql3G0HwKgMkb5jVIaIJEomGFh70N/fH4GBgZg6dWpZD4XKiYzkDCy1WSp+PSFwAmq+XbMMR0REBUmKTMIPDj8AAL4WvkZSRBJ+qPEDIAO+ln9dxqMjIsqfweUxHB0dxbXSiXQhd8fdwN4LE0mP4iX6358CRcYdQs4cFZkR/0YQkX4yyMLd0dGxrIdB5YjKxZcARmWIJELRxFFEZYCcCarGRsZlNSQiogIZRMadqCSpLAUJripDpO9yfyqmmJwKMOdORPqNhTuRlhiVIZKYXFGZ3B13IiJ9xcKdSEuMyhBJkyIqI2bcwY47Eek3Fu5EWmLHnUhaxNeoYnKqUlSGa7kTkT5j4U6kJWbciSQmn3XcAUZliEi/sXAn0hKjMkTSoui4i6vKyGRi951RGSLSZyzcibTEqAyRRCkt167IubPjTkT6jIU7kZZyd9wZlSHSc2peooqcOzPuRKTPWLgTaSl3xp1RGSL9ljsqA7zJuTMqQ0T6jIU7kZYYlSGSKOWojDGjMkSk/1i4E2mJURkiiVEXlfkv486OOxHpMxbuRFpiVIZIWgqKyjDjTkT6jIU7kZYYlSGSGMVLlFEZIpIYFu5EWmJUhkiaODmViKSGhTuRlnJ33BmVIdJv6j4V4zruRCQFLNyJtJQ7486oDJGeKygqw4w7EekxFu5EWmJUhkiaGJUhIqlh4U6kJUZliKRFbVSGk1OJSAJYuBNpKU/HnVEZIv2mLirDddyJSAJYuBNpKU/GnVEZIr1W4Dru7LgTkR5j4U6kJUZliCSKk1OJSGJYuBNpiVEZIolR8xLl5FQikgIW7kRaynPlVEZliPSauqgM13EnIilg4U6kpdwZd0ZliCRCTVSGHXci0mcs3Im0xKgMkcQUEJVhxp2I9BkLdyItMSpDJC1qozJcx52IJICFO5GWuKoMkcRwHXcikigW7kRayrOOO6MyRJLAddyJSGpYuBNpKU/GnVEZIr2m7s0113EnIilg4U6kJUZliCRGTVSG67gTkRSwcCfSEqMyRNLEddyJSGpYuBNpiVEZImkpKCrDjjsR6TMW7kRaYlSGSGIKiMow405E+oyFO5GWeAEmImnhOu5EJFUs3Im0pMi4G5sZA2BUhkgyuI47EUkMC3ciLSmiMsbmOYU7ozJEek7Na5TruBORFLBwJ9KSIiojdtwZlSHSa+qiMsy4E5EUsHAn0pKi425ibgKg4KiMIAhIeJ7A4p5IHyhHZbiqDBFJAAt3Ii2JGfciRGWCfg7C6rqrcXPrzZIfGBGpp+Y1ynXciUgKWLgTaak4UZmof6MAANHB0SU/MCJSq6CoDDvuRKTPWLgTaUmcnFqEVWUU3fmstKySHxgRqadmHXdxOUhm3IlIj7FwJ9KSouOuyLgXFJXJTs9W+T8RlR21k1MZlSEiPcbCnUhLuTPuBUVlFAU7O+5EZUfda5TruBORFLBwJ9JScaIyWek5BTsLd6IyVFBUhh13ItJjLNyJtCDPlouFOqMyRNLCddyJSGpYuBNpQdFtB4q2qgwnpxKVPbVRGa7jTkQSwMKdSAuKiamAUsa9KFGZdBbuRGVGXVSG67gTkQSwcCfSgnLHvThRGXbcicoO13EnIqli4U6kBeWOu7gqRQFRGU5OJdIjXMediCSGhTuRFsSlIM2MxSKgKBdg4uRUojKk5iXKjjsRSQELdyItKKIyRqZGkBkpKvf892dUhqjsqYvKMONORFLAwp1IC4qojLGpUsedURkiaVATlWHHnYj0GQt3Ii0oX3xJ0b0rMCqj6LhzVRmislNAVIYZdyLSZyzcibSgyKwXNSrDjjtR2VMbleGVU4lIAli4E2mhuFEZ5cmpBe1HRCWogHXcGZUhIn3Gwp1ICyqTU2UFd9wFuSDuL8gFfiRPVMbUrePOjjsR6TMW7kRaEDvuZsZiVCa/jLui267AuAxR2VD3aRfXcSciKWDhTqQFcR33IkRlck9I5VruRGVETVSG67gTkRSwcCfSQnGiMrkLdXbcicoW13EnIqlh4U6kBeXJqYzKEElDQVEZdtyJSJ+xcCfSgvI67sWNynAtd6IyUkBUhhl3ItJnLNyJtKCyjjujMkSSwHXciUiqWLhTuSUIAtJfp5foOYoTleHkVCI9w3XciUhiWLhTuXXqi1P43u57hF8PL7FzKE9OLSwqw4w7kZ5Q8xLlOu5EJAUs3KncCg8KhzxLjsg7kSV2DnE5SDNjRmWIJKLAqAwz7kSkx1i4U7ml6JyV5Eff2kRlODmVqIxxHXcikhgW7lRuKQro/AppXShWVIYddyL9oOYlynXciUgKWLhTuaXonJXkH2JFx70oq8rk6bizcCcqEwVFZdhxJyJ9xsKdyq1SicooZ9yLeQEmripDVMa4jjsRSYxBFe6xsbHYtGkTZs6cidDQ0LIeDpWw0ui4ixdgMi38AkyMyhDpCXVRGa7jTkQSYDCF+7Fjx+Dh4YHt27fj8uXL6N27N1atWpVnv7i4OHTq1AlXr15V2S6Xy7F27Vp07twZLVq0wIQJEwot/uPi4uDt7Q13d3e0adMGixYtQmpqqnj73Llz4eLigkmTJqm9/5EjR+Di4gIvLy8NHjGV5uRUjaIynJxKVCbURmW4jjsRSYBJWQ+gNKSmpmLevHkYPXo0OnTogICAADRo0AAzZsxAt27d0KJFCwBAZGQkPv30U0RHR+c5xrp16/D777/ju+++g4ODA5YvX46PP/4Yf/31F8zMzNSed9q0aUhNTcXWrVuRmJiIL7/8EikpKVi2bJm4j6mpKS5duoSkpCTY2Nio3N/Pz0/lDwsVT6l23IsSlWHHnUg/KF6i6qIy7LgTkR4ziI77o0ePkJKSggEDBojb+vTpg/nz58PW1hYA8Mcff6jcriwjIwNbtmzBtGnT0LVrV7i6umLVqlWIiIjAiRMn1N7nxo0bCAgIwLJly9CkSRO0b98eixcvxqFDhxAZ+WZdcTc3N1hYWOD06dMq909KSsKFCxfQunVrLR+94RJXlSmNjHtRojK8ABORXuE67kQkNQZRuFetWhUymQz+/v7iNplMBi8vLzg5OQEA/v77b8yYMQNr1qzJc/+QkBAkJyejffv24raKFSvirbfeQmBgoNpzBgUFwd7eHg0aNBC3tWnTBjKZDNeuXRO3mZqaonv37jh27JjK/U+ePAkXFxfUrl1bo8dMSlGZElwOUpuoDCenEpUNdW+uuY47EUmBQURlHBwcMHbsWCxZsgSNGzeGo6MjQkNDVYriDRs2AADCwsLy3D8iIgIAUKNGDZXt1apVE2/LLTIyMs/+ZmZmsLW1RXh4uMr2Pn36YOrUqSpxGT8/P/Tt2xchISHFfLSkUNqTU7OFnEKcURkiPacmKsN13IlICgyi4w4Ac+bMwbZt21CjRg2cPn0aPXr0wKxZs5CdXXjXUzGhNHeW3dzcHOnp6fneR132Xd19OnToAEtLS5w5cwYAkJCQgCtXrqBPnz5FemykXmlMTlXOuBcWleE67kT6heu4E5HUGETHXcHd3R1yuRwuLi5wdXXFrFmz0Lx580JXbbGwsACQk3VX/BsA0tPTYWlpme99MjIy8mxPT0+HlZWVyjZFXOb48ePo378/Tpw4gRYtWqB69erFfYikpFQuwJRR9KiMouNuYmGCrLQsRmWIykhBURlm3IlInxlExz0yMhJ+fn7i1zKZDL169UKXLl1w5cqVQu+viLxERUWpbI+Kisq3uHZwcMizf0ZGBuLj41GtWrU8+3t6euL8+fNITk7G0aNH4enpWei4qGCluRyksWnRL8BkXtEcADvuRGVGXVTG+M2fw5KcF0NEpA2DKNwDAgIwY8YMPHnyRGX7q1evxFVlCuLq6gobGxuVtd0TExMRHBwMd3d3tfdxd3dHREQEnj17pjIOAGpXimnXrh2srKzg6+uLoKAg9O7duygPjQpQmhl3I1OjN0VAIZNTzSuZq3xNRKWroHXcAebciUh/GUTh7uHhAXt7e8ydOxdPnjxBfHw8Vq9ejVu3bmHYsGGF3t/MzAwjR47EihUrcOrUKYSEhGDGjBlwcHBAr169AADZ2dmIjo5GWloaAKB58+Zo1aoVZsyYgdu3b8Pf3x8LFizAoEGD1HbpTUxM0LNnT6xcuRLu7u6ws7PT7ZNggEp1OUgzY7EIKOzKqRaVcuJW7LgTlTE167gDzLkTkf4yiMLd2toaW7Zsgbm5OZYsWYI9e/bgzJkz8PHxQatWrYp0jGnTpmHYsGGYP38+hg8fDmNjY2zevBmmpqYAgPDwcHTq1EmM5MhkMvj4+MDR0RGjR4/G9OnT0aVLFyxcuDDfc3h6eiIpKQl9+/bV+jFT6S4HWaSoTDqjMkR6Qc1LVDkqw5w7Eekrg5mc6uzsjG3btsHf3x+BgYGYOnWq2v0cHR1x7969PNuNjY3x+eef4/PPPy/y/apUqYK1a9fmO6bvvvtO5ev27dvnOUbufajo9DYq81/hzsmpRGVDXVRGuePOqAwR6SuDKdwVHB0dVX5ZU/lV6pNTC4vKcHIqkX5Rs447wKgMEekvgyzcHR0dy3oYVApKczlIY7NiRGUqsXAnKlNqXqKK1y/AjjsR6S+DyLiTYSrNCzBxVRki6VAblZHJxOKdGXci0lcs3KncUnS+S7TjXpyoDCenEukHNeu4A29y7ozKEJG+YuFO5Zbij29pdNyLFJXJlXHn5FSispV7vpMi586oDBHpKxbuVG6VynKQ/xXjmqwqw447UdnI71MxxZKQ7LgTkb5i4U7lVml03DWJyiguwJSdkc1LqxOVhUKiMsy4E5G+YuFO5ZJyQVxa67gXFpXJ3XEH3nTsiaj05YnKGDMqQ0T6jYU7lUvKf3hLpeNuZlxoVCb35FSAcRmispBvVMaEURkCMlMyEXIoBBnJGWU9FKI8WLhTuaT8h7dU1nEvxgWYzCqYiUU+C3eiMlBYVIYdd4N29cer2DNoDwJ+DCjroRDlwcKdyiXluEpJdc8EQdAoKmNibgITcxOVbURUetSt4w4oRWWYcTdor1+8BgAkPE8o45EQ5cXCncol5Y5ZSXXPlN8QGJsWHJWRZ8vF/Y3NjWFi8V/hzo47UdnhOu6khuL3ckYSozKkf1i4U7mk/Ie3pFZuUeTbgf/WcS8gKqO8ZruJuQmMzY3zbCeiUpLPrwSu404AC3fSbyzcqVwqjcmpyivCFBaVUd7X2Iwdd6KyVFhUhh13w5aVysKd9BcLdyqXSmNyqiLfDhQelVHOshuZGrFwJ9IHXMed1GDHnfQZC3cql0ql4/5fVEZmJMv5rwhRGWPznEgNJ6cSlaH8ojJcx53Awp30Gwt3KpdKo+MuLgVplpNXLygqo7yiDAB23InKUL5RGa7jTmDhTvqNhTuVS6WxHKTyUpAACozKKHfcARbuRGWK67hTAVi4kz5j4U7lUmksByleNdX0v457QVGZXN15ripDVPa4jjupk5maCYCFO+knFu5ULpXGcpC5O+6MyhBJQ35XN+Y67gS8+b2clZrFT19I77Bwp3KpNJeDVHTRixWV4eRUorKTT1SG67gToNpQYded9A0LdyqXSmVyajGiMuy4E+kfruNO6rBwJ33Gwp3KpdLouOc3OVXtBZjSc2XcLXL+z8KdqPQVFpVhxt2wKS7ABLBwJ/3Dwp3KJeXiucQ77rmWg1QblclQH5Xh5FSiMpBfVIbruBs8QRDYcSe9xsKdyiWVyaklnXFnVIZIUriOO+VHniVXafywcCd9w8KdyqXSWA6S67gTSRzXcadccv9OZuFO+oaFO5VLpbEcZJ7JqcVYDlJRwHNVGaIykM+vBE5OJRbupO9YuFO5VJqTU8WMezEuwKTouGenMeNOVNryi8pwciopT0wFWLiT/mHhTuVSqSwH+V8xrklUxtTSFACQmZJZImMjoiLgOu6UCzvupO9YuFO5VCoXYNIgKqMo3M1szAAAGcn8o0BU6hiVoXywcCd9x8KdyqXSWA4y9+TUAqMy/3XcFRl3sXDnHwWiUldoVIYdd4PFwp30HQt3KpdKdTnI/3LrBUVlxI77f/uaWv8XlUlmVIao1BW2jjsz7gYrT+H+moU76RcW7lQulcZykMWJyuS+ABM77kRlL0/H3eS/1zCjMgYrM1W1mcLf0aRvWLhTuVQay0EyKkMkTepeowCvnEqMypD+Y+FO5VJpTk7VZFUZM2sW7kRlJp+ojCLjzo674WLhTvqOhTuVS6W5HKS4jnsxLsCkvKpMft0/IipZuaMyzLgTC3fSdyzcqVxSLp5L/AJMpsW/AJOicBeyBbEbT0SlI9+oDNdxN3iKCzCZWuUsIMDCnfQNC3cql0pzcqpGF2D6b1UZgH8YiEodozKUD0XH3creCgB/P5P+YeFO5VJpLAeZp+NejKiMkbERTCxy/s0/DESlK7913Dk5lRSFu7W9NQD+fib9w8KdyqXcf3hLYmWZPBn3Iqwqo+i4A7x6KlFZUWTYFdEYBfECTDrIuF/+4TLOLT6n9XGodIkd96rsuJN+YuFO5VLuLnuJFO7FiMrk7rgDXBKSqKyoeyMNvCnktf2ULis9Cydnn8TZr88iJSZFq2NR6cpduGcmZ5bYksJEmmDhTuVS7o57SXz0XZyoTJ6rrIKFO1FZEa9knLtw11FUJi0+Tfw9kBaXptWxqHQpLsBkWdVS3MZPRUmfsHCncilPx70Ecu5i4a5hVEYxQTUzOTPP/kRUcnJfEE1BV5NT0xPSxX+nJbBwlxJFx92ysqX4KSqbK6RPWLhTuZS7610SHXdFF51RGSJpKbTjrmXGXblYVy7iSf9lp+X8Xje1MuXvaNJLLNypXMozObUEOu6KjHuRojIFTU7lHwWiUpVfx11XGXd23KVL0XE3sTDh72jSSyzcqVzK/Ye3JDPuio57QVEZscOnnHG35h8ForKgXJwpE1eV0Tbjzo67ZCky7izcSV+xcKcS9ezCM6xtuBYP/B6U6nlLteOuKMYLugBTRt4On6nNf1fm48QnolKV76oyxrrvuKcnsnCXEnbcSd+xcKcSdXvHbcQ9isO9P++V6nlLZTnIDEZliKRI3ZwTQHfruCt33BmVkRblwt28gjkA/o4m/cLCnUpU1J0oAEBWalapnleb5SCfnn2KG7/eKPwcRYzKCILAyalEeqSwddy1jcqodNwZlZEUsXC3ZMed9JNJ4bsQaUaQC4j6J6dwV+QGS+3cWiwH6TvaFwnPE1C3c13YNbTLd7/ck1Pzi8rIs+TiNpWO+38Zdy4HSVS68uu46ywqk8jJqVLFqAzpO3bcqcTEP4tHxuucX3il3XHXZjnIlFc5VzpMCE0ocL/cF1XKLyqj2E95X4Add1KlblIzlYz8Ou6cnEqKv1UmFiZv5iHxdzTpERbuVGIUMRmg9Dvumk5OFQQBmSk5Y02JLvhS5UWNyiiKBIBRGVLv5LyT+KHGD0h8kVjWQzEIhXXctc24c3KqdLHjTvqOhTuVmMg7keK/S73jruFykIpf2gCQHJ1c4L5FjcooigSZkUzM0AIs3OmNe773kByZjJeBL8t6KAahsIy7TleVYcddUhR/A0wtlS7A9Jq/o0l/sHCnEhN1W3odd0W3HXgTmcn3HLk77vlFZfIpEkytcz6GZcadkqNy3iRyadDSUZrruDPjLi3suJO+Y+FOJUafOu5FXQ5SpXAvJCqTJ+OeT1RG3cWXAHbcKUd2ZjZSY1MBqP78Uckp8cmp7LhLFgt30ncs3KlEZKVlIeZ+jPh1aRckmi4HWazCvYhRGXUXXwJYuFMO5U92+OlL6Sh0cirXcTdI8iy5+L1n4U76ioU7lYjou9EqXatSXw5SrtlykMqfDBSWcdc2KqNYDpJ/FAybIiYDMCpTWvLtuJfAOu6ZyZlaH49Kh/IcJxbupK9YuFOJUKwoU9GxIoCyj8qURse9sKhMvh335AxJLQUoyAWVYpO0o/xc6qLj/vTsU1z87mKpv1mWknwnp+ogKpOdka1SAAJcWUYqchfuvHIq6SMW7lQiFPn2Wm1qAZDm5NRCV5XJlXHPNyqTX8f9v8IdQum/sdHGsenHsKL6CoT5h5X1UMoF5TeI2nTc457EYe/Qvfit2284Ne8Uzi0+p4vhlUv5vZnWxeRU5WiM4ncDc+7SoCjcjc2MITOSFanjfmbBGewetFvreBVRUbFwJ524seUG/vz4T/GXl2JFmVptcwp3IVsQO9SlQScd91cp+XbCBUEQz1FoVCZ3gf8fUytT8d9S6uiEXw8HADz6+1EZj6R80LbjnpGUgVNfnsJPjX/C3QN3xe1B64KYr1ZDkAtizC2/jrs2RZiiSDezMYNFZQsAzLlLhaLBpFhtqLDCXZALuPT9Jdw7dA/hN8JLZ5Bk8Fi4k06cmncKNzbfwMtrOetQ5+64A6XbVdZFx13IFpAWr/4PruIPP6B5VEZmJBOLdyllmxWFSfQ/0WU8kvJB28J9R+8duPjtRWSnZ6Ne93qYdHsSqjauivTEdFzbcE2XQy0XlK9knF/GXZuojKJIN69kDvOKOVELdtylIfcyoYUV7kmRSeInqgnPC77SNpGusHAnrWUkZYjFR2psKlJepSApPAkAUKN1DXG/0ozL6GI5SCD/nLvypweaRmUAaa4soyhMlJf7JM1pMzlVEAS8CHwBABi8YzC8/vZC9abV0XF2RwCA/yr/PHlrQ5c7x6xMF1EZRZFuUckCFpVyOu7MuEtDQYW7uk9flYt1Fu5UWli4k9bin8aL/06LTxMLusr1K8O8grn4S7A0O+66iMoA+efclbt2hUVl8uu4A9Is3BWFScz9GPGxkeZUOu7FXDY1MyVT/PTHZYCL+KlP04+aoqJjRSRFJOHW9lu6G2w5oPwzq3jtil/rYHKqSse9krnKNtJvYuFuqVq4Q1D/2kx4xsKdSh8Ld9KaSuEelyauKFOtaTUAb34JlmrHXcPlIIvacVeOyig+Xs8vKlOeOu6CXED665zCXcgW8CrkVRmPSPq0icooolwy4zcT6YCcT4HazWwHALi8/DKXI1Si/HpUvGYVdLGOu9qOO6MykpC7417YPKT4Z/Hiv5WLeKKSxMKdtBb3JE78t3LHvXqz6gAAU8ucX35lmXHXecf9v6iMkYnRmz/+hVyAKffkVAAwtc55bqRy4Z301+kqj0/xJo00p01UJi0up3C3rGyZpwhtPaE1LCpbIPZBLEIOhmg/0HKioE/AdLGOOzvu0qX4G6Uo3GVGMvF3tLrCnR13Kgss3Elr8U/ixX+nxaeJK8ooOu6KroVyx12QC/hzwp84903JLFmXJ+Ou4467umK8PERlMlMyC1xTPnfnkDl37Sn/jBX3DVxqXCoAiKuXKDOzMUObKW0AAJeWXZLUtQJKUkGfgOkiKqN4jXByqvTk7rgDBf+OVinc2XGnUsLCnbSmHJVJjU1F1L85hXv1pjkdd0VURrnjHh0cjRu/3MDZBWfxOvy1zsekq4678uXoVY6X66qpgPSjMq9CXmFF9RX4a8Jf+e6Tu3PIjrt2MlMyVb732nTc1WkztQ1MLE3wMuglnpx+ovlAy5GC3kjrch13i0oWYsedk1OlodiFu1KXPeVVSrHnqBBpgoU7aU254x5xIwKZyZkwsTCBXUM7AG+iMsod99cv3xTr9w7d0/mYNO64/zdGS7ucQqiwVWUUS0ECyDcqoygU1Bbu1m+unlrWbv52ExlJGXj89+N898ndOYz6h4W7NnJHsTTuuNvm7bgDgLW9NVqObwkgp+tOReu46yLjbl7JXDIZ9zD/MGzusBmPThj2tRkUhbvibxaAAq+eqpxxB4CEUHbdqeSxcCetKWfcI25GAADs37IX86LqOu7KXfaSyN/mWce9iMtBZqXkjLFS3UoA8s+4q+2453cBpvQCMu42+ecnS5vi+5D4IjHfwkXRTazcoHLOvqGJ+a51Xx4IgoAHRx/k+QOtK4p8u+JnIyNZ/bJz+VE89+qiMgodvDtAZizD478fi9dZMGRFybjrIiqj3HHX54x7amwq9r23D2FXwvDXJ38Z9EpRxem4pyWkid9rWydbAIzLUOlg4U4aEeQC/Nf4w3+1v0o3SVG0KvLtgPqOu2KddwB4cvqJzou/3MVzcaMytnVtARQz455rcmDuffU54x59Nxox92IA5BQt+cWXFN/rSnUqoWLtigDKd9f95NyT+N3zd/zu+XuR3/wVh6Jwr1Qn540ihDdv9IpCEZUpqHC3dbKF24duAIDL31/WcKTlh7riTEGXUZniZtyzM7NxfOZxPDj6QONzF5cgCDg88TASwxIB5BSehnzRrtxXTgXy/x2tKNItq1iiauOqOds4QZVKAQt3KrastCz88eEfOD79OI7POK52H8WKMoDScpBK+T/lwlCeJcf9I/d1OkZtJ6dWrJNTlBa2qozaqAxUc+4FRmX0pHDP/alHYmii2v2U87uKOQzltXC/+N1FsdCNDo7G45P5R4g0pSjcFR07oHixKUVUJr+Mu0LHOTkXZAr+IxixD2OLOcrypbQmpyovB1mUjnuATwD8V/njd8/fC933dfhr3N5xW1yaVVM3f72J4D+CYWRihLc/fRsAcH7Jea2Pq6/Cr4erfEKcm+JNnbHFm5+N/H5HKz6Fs61rK35CW1KfzOmL7Mxs3N55W/y9Q2WDhXsusbGx2LRpE2bOnInQ0NCyHo7eSY1LxY7eOxC8L1hlu/Ia0oD6jrtyVCY5IqdgsaySU3DoOi6j7eRU5Y67uuhCQVEZQLXjrygU1Hbc/8u4l/VykLmf//w6R8r5XXs3ewDlc2WZoPVBODXvFACgqmtONy3gxwCdn0dRuFeoWUH89KY4PwtF6bgDORPFG3k2giAXcHmFYXfdizQ5VYuMu7rlIIsyOTXiRsSbMRZwtdun555iffP1OOh1ED82/BHXNl7TaLwxD2JwdNpRAEC3Jd3w7pp3YdfIDinRKfBf7V/s45WEtPg07Bm8BwE/af/aS3iegF/a/YJfO/2abxxIXcY93477f78jK9WtJH5ilvhcfcOjvDg59yQOjjyIP8f9WdZDMWgs3JUcO3YMHh4e2L59Oy5fvozevXtj1apV4u13797FyJEj0aJFC3h4eGDbtm2FHvPo0aPw9PREs2bNMGjQIFy5ckW8LSwsDC4uLnBxccG///6r9v59+vSBi4sLrl69qv0D1FJCaAJ+7fwrnp1/BvOK5rCtZyve5tDCQWVfRTcWUH8BJkXHveW4nIlzD4891OkFmrTtuCs6KFlpWWoLKXUdd5WojNLp9H1VmYTQBLwMegnIgPo96ovb1FEuSsSOezlbWebOrjs48tkRAEDnLzvjw0MfAgDuH7mP2Ee661bf+f0Ozn59FgBgVc3qzXrRxei4ixn3fCanKlN03W9tu4XUWN10zJKjknF85nGcnHsy3xWY9E2BHXcdrOOu6QWYFHEVIOeqxLkJggD/1f7Y1n0bUqJTYGxmjOSoZByeeBgbWm4o1sTS7IxsHPjoADKTM+HUzQkdP+8IY1NjeCzxAJBz0S59+H5e/fEqQnxDcGzaMYRdDdPqWM8vPYc8U47XL1/j3p/qF0RQF6PKbx6SIipTqU4lsdGjKOYFuaCyAEN54b8y5w1diK90rguRkZSh8toqD1i4/yc1NRXz5s3D6NGjsXz5cowYMQIrVqzA+vXrcfPmTcTFxWHs2LGoU6cO9u/fj8mTJ2PFihXYv39/vsf09/fH559/jg8//BAHDx5E+/bt8cknn+DRI9VfsKampjh+PG/kJCQkBE+e6McSblH/RGFz+82I/jcaNjVsMOb8GDTq20i83aHlm8Ldyt4K1tWtxa/VTU5VZNwb9W2EirUrIjM5U6dRBG077tb21uIfdnV/wNReVEm5blfuuBdwASZF4V6Wy8UpfgnX7lAbNd6uAaDwjrtFJQvxU5Wof6IgCAKi/onCDzV/wK4Bu3SW9UyKTCrVNzX3j9yH7yhfQADcJ7uj2zfdUMW5Chr2aQgIQOBPgUU+ljxbjrCrYWq7e8lRyTgw4oBYRFrbW2v06Uthy0Eqq9O5Dqo3r46s1Cxc33y9yOdQR54lx9W1V/Gj84/wX+WPS8suYU39NTi/5LzOV0i6tf0WfFx9dPbJToGTUwuIymQkZeDJmSfim/b8qM24J6YXOOlYkAsIvx4ufh0dHK1ye2ZKJg6OPIjjM45DyBbQdERTzIqahXfXvAuLyhaI+icKO3rvwE7PnXnuq86Zr8/gZdBLWFS2wOBtg8VPC98a9hYcWjog43UGLiy9UOhxSlJWWhYCfXJeb4JcwJ/j/tRq4mz4tTfP741fbqg/Z2oBk1Nf51O4K3XcFVGZC99ewMpaK/HvXvUNuZImz5IjKTKp8B2R06TZ0nELdnruLPB3reLvmEJJTWKOvhuN4zOP49zicyqvGUEQiv27JeVVCja03IC1Ddci5kHeN8NSxcL9P48ePUJKSgoGDBggbuvTpw/mz58PW1tb7N27F6ampli8eDEaNGiAoUOHYsyYMdi4cWO+x9y0aRN69OiBUaNGoUGDBpgzZw6aNGmC3377TWW/9u3b49ixY3nu7+fnh7ffflvrx5aWkIZjM47hzNdncPO3m3h24RkSXyQWebLd03NPsaXTFrx+8RpVG1fF+Cvj4dDcAfZv2Yv72Dd5s4pM9abVVbrPapeD/K/jXqFmBbgOcgVQ/LhM6OVQPL/4XDxuRlIGYh7EICkySeuOu6m1Kaztc958qOucFBaVWWK+BP+z+h82tt6IV/deAVBfKFSoVQEA8OTUE5xZcKbIbzAEQUD03WhkpmYiMyUTsQ9j8ez8M9zZdQeXf7iM497H8ceHf+DXLr9ibcO1WNdkHc58fUZtJ0/xvLsOdi30I1/lqExV16qQGcuQFpeG1y9fw3+NP5LCk3D/r/tY12QdAtcFajWhM+JmBNbUW4Nfu/yqVQe0qEIvh2LfsH2QZ8nRdERT9FnbR/w5bjM150JGN7bcKNIbiaSIJOzotQOb223GoTGHkBydrHK/3B0/62rWYsc94XkC7v15D2nxabi26RpSYt68cczOyMbLay8ReScS8ix5gRdgyk0mk4mPI2hdkMbP6ZPTT7C+xXoc+79jSE9Ih0NLB9RoVQMZrzNw5qszWNtgLQJ8AsQC9tW9Vzg+87hGHUhBEHB2wVnE3IvB5eW6ifgU1HFXRGUA4GXQS5Wf3wMjD2Cbxzasa7IOdw/eVVuIZ2dmi8Wf8qoyglwo8OcmOjhapSuvXHzHPYnDlo5bcOf3O5AZy9B7dW8M3j4YFpUs0HZaW0x7OA3tZrSDkakRHh59iJ+b/YzDnx5WuSKvsidnnohLgw74ZQAqOlZ88/iNZOi+tDuAnDepik/eMpIzNG4upMSk4NmFZwjaEISj/3cU23tux6Gxhwrt6N/ZdQfJUcmoUKsCrKtZIzo4GueXnM+z37Pzz3Dqy1N4fOpxnuJSISM5I+dTxf88+vuRyvVHFAos3AvKuCsK9yfxOLvoLK78kPPJetD6oAIfo3je9CwcGn8IG1puQND6IK0+fX4Z9BLr3NZhZc2VuLYp/4nGr0Je4dSXp7DJfRNCL4fi4dGH2Dt0r/gc5v75fhH4QuVrxQpyyqKDo8XruBSHPFuOe3/dw/ae27HurXXwX+WPs1+fReilnLhyVloW/nj/Dyy1WYqt72zFjS03xHhY1L9RiPonCsnRyXkaZnuH7UXsw1hkp2fj5tabxR6XvspbSRioqlWrQiaTwd/fHw0bNgSQ84fOy8sLABAUFIQ2bdrAxOTNU9auXTts2LABr169QtWqVVWOJ5fLcf36dcydO1dle9u2bXHixAmVbX369MG8efNw9+5dNG7cWNx+9OhRjB07FoGBRe/yqZMak4qrq/NGbYzNjVG5XmXY1rNF5fqVxf8q1a0EC1sLmFc0x+OTj+E7yhfZGdmo3bE2hv85XFzjXLlwr1yvMixsLZDyKkUl3w686bjf872HxoMbw7KKpdhVrFCjAlwHuyLgxwDc3X8XJhYmsHWyha1TzoQfWydbWFWxErsHxqbGMDIxQohvCP4cn5OzMzIxgomFifiLVWYsy7NiRHZmNjJTMpGZmonsjGxY21sjLT4NyVHJSI1LRWpsKkzMTcRJWaZWpqhQswISwxKx490dePvTt9F+RnvYONiIx1OMR8G8ojkc2zsi7ErOR7pZqVkqXTR1hYJTVye4T3ZH4E+BOP/NeYT5h6Hfhn6oVLsSYu7HIOF5AiyrWMKqqhWs7a3x7MIz3D1wF9H/RCPMPwwyY1mR35REL47G+cXnUdO9JpqOaIr63esjzD8MT888BQA0HtwY0XdzCoawq2G4f/g+GvVtpPImTPHH26KSBUzMTVDFuQpe3X2F5xefI3hvzryHqq5V8SrkFfwm++Hc4nOo6lIVlRtWhl1DO/E/i0oWiHsSh9iHsUh5lYLqzaqj5ts1kZ6Qjqy0LGQkZeDo1KPISs1CxI0I3D1wF/W710dKTApSY1KRlZYFU2tTmNmYwczaDGY2ZjC1MoWRiRFkxjLIZDIIQs7H1TH3YxBzPwaxD2IRcz8GlepWwjsL3oFVVSvxsWUkZ8B3tC+y0rLg3N8ZA38dqPJGrGHvhrBrZIfYB7G4tvEamnk1y/lZNDWCkYkRjE2Nxf0fn3qMAyMOIDkyp3D6Z/c/+Gf3P4AMsGtoB4cWDnm6otbV3nTc//jgD8iz5DCvaI70xHRc/PYimo5sitCLoTkd/P+KC7uGduJE06J03AGg6UdNcXL2ScQ/jcf5b86jfo/6qFCrAirUrCC+scxIzkBqTCoqOlZUeQ4SnifghPcJBP+R8322rGKJ7t92R8vxLSGTyfDv3n9x+svTiHsch6NTj+Lvz/+G6yBXhPmHIf5pPMKvhWP44eHITs9GVnoWstKykJWaheSoZMQ/i8fz88+RnpgOu0Z2qOJcBVWcqyAtPk0ssO4euItO8zohOSoZiaGJSAhNwOsXrwFZTnGl+M+8grnK1+J/FXL+L64couaNtKmVKYxMjSDPlGOT+ybY1LCBcz9n1GhdQ7zeROyDWOwdshd1OtVBz+U9UatNLfH+SRFvupzmFc1zfhb/e42mJ6SLa4IrJL5IxJUfruRZyeXZuZzXeVJkEs7MP4PU2FRY2VvhvX3vwekdJ5V9Le0s0Xtlb7h/5o6Tc07i7oG7uLb+Gu78f3v3HRXF1YYB/Nldlt5RaSJNQGxBYsGKSlRsUaNGjQVjL+hnwRqJvRONFQUpYglgjQ1LxBKNiCV2sSCIXYoidWHZ+/2x2YlLE4mUgfd3zh5lZnb2zjw7s3dm7tzZdRttf2qLZhOaAZCfbGAyhgNDDwAMaDKqCRy/c0R+tp1tYelqiafnniJiUgQM7QxxZdMVyHJlsOlkg4aDGqJ2i9pIiU2B5IMElm0toW2qjYw3GUi8n4jEe/JX0r0kJN5LLPIAIuFiAgYfGwwdcx1IUiXIycjhtiWhWMg1y3CZ4gJ9a33s6bcHF5ZfgG1nW6ioqSApJglvbr/B5XWXIcuV4cKyC1DTVYNtF1vY97RHnTZ1EH82Hnd238GT00+45ot6dfSQmpCKqHVRqOteF6+uv8Lr66/lN64+kd+4WljFPfVpKu7tvYe3d98iOSYZLy7LK7J6lnrQMdPhpj+34N+ngT899xRXt1xF7IlYxJ2JQ6MfGqHL2i5K+wvJBwnC+oRxD0g7Ov4ozi44i+/3fg+LVhby5pqZuYW+FN3yCoQC6Fno4cKKCzi38BxXqT0y9giEIiGs2lvJv0M1NPHw6EPcCrmFF9HKFXEAiD0Zi8DWgQDkBwACkQCaRppwGuEk39Y+EuASgEaDG6FXUC/k5eQh8qdIXF5/GWCA03AntJnTBkKxEHmSPOTlyLd5mVQm30Z15VejmIzh5vabiN4YzT0PRiAUQNtUG2kv0vB3wN8wsDHAgaEHuPXz9PxTPD3/FLEnY1G7ZW2cmPJvawWBSACtmlrQqqUlvwp8+638SjgDbu24ha9Hfw09Sz2lhyXKpLICL2mWFI+OPYJUIoWVqxWMHIyQkyY/eJWkSeT/5nvlZuRCTVcNWsZa0DbW5v7VrKmJjLcZSPgzAU//fIqEPxOQ9jINtRrUgvFXxjBxMoHxV8YQqYqgbaoNTUPNQreXjwkYPQebs3LlSgQHB8PR0RG1a9fGjBkzYGFhAQDo2bMn2rVrhxkzZnDTP378GN27d8fevXvRqFEjpXm9f/8eLVq0gJ+fH1xdXbnhu3btgo+PD/7++288f/4cbm5uCAkJgY+PD1q1aoWpU6cCAG7duoXRo0cjPDwcnTt3RkhICFq0aFGq5ZJJZchOzQaT/fMlzZV99s1MijPQH/+Qy/Jk3OVC3dq6SH+TDlmuDJo1NLlLxIC8HW6hbWoF8go/YwypCaml6slBIBQon9X9ZyMt8u8S0rXQlZ/RTM4q8iwOID8o0TH9d6fNGAOY/AwbkzFkJGb82xyillaBm3gVJGkS+Rmo0m6NAvkBjFAk5CqvH/+dl5uHnPQcpeZKHxOpiqBbW77Mqc9SP1kOxbKkv0lXatohVBFC10IXkg8SeeaVfe+S7/shEMl/AD/+nitkp2YjK/kTbcM/mp9IVf7jXNyNhgo6ZjrISskq0bQCoYD7ninoWugq93BUjMzkzMLbXOd/gFj+VfDR56npqkHdQJ1rWsJNwhj3Q6a4KlVZqeqoclfVPpabmQtJmkR+9S3f91esKYZIVSS/mlDMd1sgFHA9Bb2Pf1+iK08iVRFUtVUL3VeK1ETQNtbmrmoWJzcr95P7LaFYCF1z3UK/54D8DOeXbKMtVBFCKBZCpCqvlEveS0r2GySQV7SFImGBfc3HRGoiyKSyEv2GaNbULLKbX0C+brSNtbmmjZIPkmKvDuhZysunqPSXmkB+QiQnPec/3RwNyH+vBSIBcj4Uf3VQrCk/+SHWEkOaJVU68CyK4sD2SxMIBVDVkVfqWV4h9wgI5E0K83LzuCaCH7+3qG1My1hL3smEYnwRD0qsDEq6H6cz7h+ZNWsWOnbsiODgYERGRuLEiRPo2bMnVq5ciezsbKiqKle61NT+ab8oKfgjmJ0t/2IV9p7Cpu/atSvCwsK4intERAS6dOkCkahkP8bFEaoIoWn06aO4z56vSAgDGwPubz0LvUKnU9dXL/bmOYFAwN3cU5mIxCKIa4s/PeFHBAIBIPi32Yyuue4n3iGnpqNW4Gzcl6SirlKi+QtVhDCwNvjkdAraxtqFDv/4xryqoqyX6eOzdmVJ00izTPYHgPz7z/fsxZpiiDWL3+4VVx1L4uOuPkuiJDcaF0esIf7s/VZ+KuoqSvv2L01d9/OXsah9TWl8zr5WcXb4U77U+vqc79anaNUoeGBaFLGmuEwz/yzi4tdnSa8wKiiuZlYVVHHPp1mzZpDJZHBwcEC9evXg5eWFr776Curq6sjJUT56VVTANTUL/ggqKvWFvUdDo+CXzt3dHatWrUJMTAwcHBwQERGBlStXfqnFIoQQQgghPEc3p/7jzZs3OHbsGPe3QCBA586d0a5dO1y6dAkmJiZ4+1b5pgvF38bGxshPX18fmpqahb6nsOnNzMzg5OSE48eP4++//0ZeXh6aNWv2JRaNEEIIIYRUAVRx/0d0dDSmTp1aoPvFpKQk6Ovro1mzZrh27Rry8v5tNxgVFQVra2sYGRkVmJ9AIICzszOio5UfHHH58uUie4pxd3fHiRMnEBERAXd3dwiFFA8hhBBCCJGjmuE/OnbsiJo1a2L27NmIi4vD+/fv8euvv+LmzZvo168f+vbti/T0dPz00094/Pgx9u/fj+DgYIwdO5abR1paGlJS/n1Ay48//oijR48iKCgIsbGxWLVqFe7fvw8PD49Cy9C1a1fExcVh//796N69e5kvMyGEEEII4Q+quP9DS0sLgYGBUFNTw5IlSxAWFoYzZ85g48aNcHZ2hpGREbZt24a4uDj06dMHGzduxMyZM9GnTx9uHkuXLkW/fv24v9u0aYNly5bht99+Q58+fRAVFYUtW7bA1ta20DIYGxvD2dkZenp6cHJyKutFJoQQQgghPELdQRYiKioKV65cwaRJkyq6KIQQQgghhACgXmUKVbt2baWHzhBCCCGEEFLR6Iw7IYQQQgghPEBt3AkhhBBCCOEBqrgTQgghhBDCA1RxJ4QQQgghhAeo4k4IIYQQQggPUMWdEEIIIYQQHqCKOym1jzskos6JKi/KiR8oJ/74OB+ZTFaBJSHFoZz4gfZ9n4cq7qTUcnJyuP8LBALa4CopyokfKCf+yMjIQHZ2NgBAKKSf0cqKcuIH2vd9HnoAEymVwMBAREdHIzMzE+bm5pg+fTpq1KhR0cUi+VBO/EA58ceWLVtw4cIFpKenw9DQEF5eXrC2toaGhkZFF418hHLiB9r3fT46BCWfbePGjfD390eTJk3g6OiIhw8fonfv3jhx4gSysrIqunjkH5QTP1BO/OHn54ft27eja9eu6N27NxhjGDJkCH777TckJiZWdPHIPygnfqB9XykxQj7D+/fvWd++fdnvv//ODcvIyGBTpkxhTk5ObN++fSw7O7sCS0gYo5z4gnLiB5lMxjIzM9mQIUPY7t27lcYtXryYtW7dmm3YsIElJydXUAkJY5QTn9C+r/TojDspMcYYpFIpEhMTYWBgAACQSqXQ1NTE2rVr0aVLFyxZsgRRUVEA6GagikI58QPlxC+MMbx79w4ikQjAv+1y582bhz59+uC3335DREQE8vLyKrKY1R7lVPnRvu+/oYo7KTGBQAAjIyPUqlULoaGhAAAVFRVux7hixQq0adMGP//8MzIzM+lmoApCOfED5cQfAoEAmpqaMDU1xb59+wAAqqqqXFbTp09Hp06dsGbNGrx8+RIA9Y5RESgnfqB9339Da4OUiEQi4f4/ZMgQPHnyBH5+fgCUd4wLFiyAtrY2goODK6KY1R7lxA+UEz9IJBKkp6dzf0+YMAGJiYlYuHAhgIJZ2drawt/fH4C8ckLKB+XEH7Tv+++oVxlSrICAANy+fRuxsbFwd3dHmzZt0KNHD1y7dg0RERHQ1NTEkCFDoKqqCplMBj09PRgZGSElJaWii16tUE78QDnxh6+vL65du4aHDx/Czc0NLVq0gLu7OwYOHIgDBw5g1apVmDlzJlfZUFVVhaWlJTIyMiq66NUK5cQPtO/7cuiMOynS+vXr4efnBxsbG7Ru3RrHjx/HwoULcfjwYcybNw/W1tbYu3cvNm3aBEDeT65IJIK+vj40NTUB0GXI8kA58QPlxB+bN2/G9u3b0b59e/zwww948eIFVqxYAT8/P4wZMwadO3dGZGQkfvrpJwDyM4UKmpqakMlklFU5oJz4gfZ9XxadcSeFSk5ORlRUFJYtWwY3NzcAwN27dxEWFoZffvkFubm5WLFiBVatWoVDhw4hKioKLi4uSEhIwMWLF/G///0PAF2GLGuUEz9QTvyRkZGBGzduYPbs2ejduzcA4NmzZzhy5AjWr18PiUSCqVOnwsDAACEhIejRowecnZ3x4cMHnD9/HuHh4dQmtxxQTvxA+74vjyrupFACgQAJCQlITk7mhjVo0ACjR4+GhoYGfH19oaWlhblz5+Kvv/7Czp07cfnyZejp6WH37t2wtbWtwNJXH5QTP1BO/MEYw6NHj7ibFwHAwsICgwYNgoaGBn799VdoaWlhxIgRaN++Pfz9/fH+/XtoaWkhLCwMdevWrcDSVx+UEz/Qvu/Lo4o74TDGuKNaoVAIGxsbxMXFQSKRQE1NDYB8x/jDDz8gLS0NISEhsLe3R5s2bdCmTRsA8i6dVFToa1WWFDlJpVKIxWLKiQdUVFQoJ55QVVWFi4sLHj16hDdv3sDY2BgAoK+vj169eiEtLQ1hYWFwcHBA69atsXTpUgDyLuvoDG7Z++uvv+Dg4AADAwPKqZKiukTZom8v4eTk5EAqlQKQ7/zc3Nywfft2nDlzBsC/bcwsLS3xww8/4OXLl7h165bSPGhDK3u3b98GIF/XOjo66NKlC+VUCc2ZMwcTJkwAAOjq6lJOldibN2+4M7eqqqpo27YtTp8+jaNHjyr1gmFgYIBevXpBV1cXd+/eVZoHXcovexs2bMCECROQnp4OoVBIOVVS6enpXC8/VJf48mjNEABAcHAwoqKikJ6ejrp162LBggXw8PBAfHw8Zs+eDU1NTbRr1447km7YsCHs7Oxw5coVfPfddxVd/GojOjoaw4YNw+LFi9G/f38AwODBgxEbG0s5VSLLly9HZGQkAgICuGGUU+W0YcMGnDx5Eu/evYOuri62bduGbt264enTp/jll1+goaGBPn36QF1dHQBQp04dWFpa4vr160pnb6lCWLaWLVuGnTt3QkVFBQ8fPoSlpSXlVAn5+/vj/Pnz+PDhA8zNzbF582aqS3xhdMadYO3atfD390eLFi1gY2ODP//8E4cOHQIAeHl5wc3NDZMmTcKhQ4eQnZ3NvU8oFMLc3Lyiil0tKX6UvL29ERISwg339PREly5dMHnyZMqpgi1duhS///47goOD0bBhQ6VxM2bMwDfffEPbUyUREBCAsLAwTJgwAd7e3hg4cCDMzMwAAOPHj4eHhwcWLVqE7du349WrV9z7pFIp6tSpQ00uysny5cvx+++/Y9euXbC3t8fDhw+5cePHj8eIESOwePFihISEUE4VaOPGjQgJCUH37t3h7u6OW7du4ddffwUgr0vQvu/LoDPu1dyTJ09w6tQprF69Gq1atUJ6ejoGDBgAiUSC+Ph4mJubY+HChTA2NsacOXNw+fJl6OjoIDMzk7ujn5SfunXrokGDBrCyssKKFSsglUoxYsQIGBoa4qeffoKhoSHlVIFOnDiBHTt2wM/PD46OjgDkl4WfPHmClJQUODg4YO7cuTAzM6OcKhBjDLm5ufjrr78watQodO3alRv+7NkzxMfHo0mTJpg5cyZMTU2xbt06XLt2DTo6OhAKhbh48SJ2795dwUtRPSxevBiHDh3C9u3bUb9+fdjZ2eHBgwcAgNzcXIjFYkyfPh26urrw8/PD1atXKacKkJKSgrNnz2Lu3Lnc9nTz5k0YGhri5cuXMDQ0hLe3N+37vgCquFdz7969Q3JyMurUqQMAEIlESEtLw+bNm5GUlARTU1NMnToVM2fORL169XDhwgVcv34dZmZm2LFjB93xXc4Ufdo2atQI1tbWWLVqFcRiMYYOHYrHjx9j1qxZcHR0pJwqiFgshrOzMx49eoR27doBkJ8RTEhIwLNnz6Crq4sxY8Zg2rRpcHBwwLlz5yinCiKTyfDq1SuIRCIA8nt8JkyYgOfPn+PVq1fQ0tLC2LFj4eHhgbp16+LKlSv4+++/UadOHezatQt2dnYVvARV34kTJ3D+/Hns2LED9erVAwDUq1cP69evR0pKCgwNDbkmF6NHj4a9vT1u3rxJOVWAnJwcJCUlQVtbmxv2+PFj3L59G5s2bYKGhgZGjhyJqVOnol69ejh79izt+0pJwKhX+2rt9evX8PLywuTJk9G8eXPMnj0bt2/fxty5c6Guro7AwEBcunQJu3fvRr169SCRSCAWiyGVSpUeZkHKnuLskpeXF1xcXPDtt9/C19cXvr6+sLOzg5GRETZu3AhtbW3k5uZCJBJRThVg7dq1OHnyJBYtWoR9+/YhNTUVHh4esLKywubNm3HixAmsWrUKrq6utD1VsOHDh0MgECAoKAhLly7F8+fPMXbsWJiZmWHTpk04fvw4Fi1ahC5dugCQn5GXyWRcZZ+UrcTERMhkMhgbGyMvLw8ikQjx8fEYPXo0xo4di379+kEmk0EgECi1XaecKsbAgQPx9u1bdOnSBadPn4axsTHGjRsHU1NT+Pv7IzIyEkuXLsU333xD+77/gCru1VBeXh5yc3Ohrq4Oxhju37+P+vXrAwCysrKQnp6OmjVrctP37dsXdevWxcqVK7mdJyl7H+f0MV9fX8TExGDdunWQSCQYMGAAHj58iOHDh2PmzJkAqCut8lRYTiNGjMDDhw/RrFkzeHp6Kp1NGjVqFBhjCAgIoK7pyln+rM6dO4cVK1age/fuePLkCfr374+WLVty048fPx4pKSkICwtT6uKOlK28vDxkZ2dDS0ur0PHDhg2DSCRCUFAQAFA2FST/9vTs2TMsWLAAIpEI9+7dw9atW9GgQQNu+nHjxiE9PR07d+6kfd9/QGutmgkKCsKMGTPQu3dvBAYGQiKRcJX2nJwcaGhocJX23NxcAPK78xXdRFKlvXx8nFNwcDDS09O5LrSMjIyQlJQEQH4j5IcPH9CvXz9s374dW7ZsAUBdaZWX/Dm9f/8eAODj4wNVVVXcu3eP619asT3Z2dlx2xH9cJWfj7MKCgqCRCJBo0aN4OzsjFOnTuGvv/6ChYUFAHA3zn311VfctkQVw/KhyKlv377cvk8hLy8PADBlyhQ8ePAAe/fuBUDZVIT821N6ejosLCywbds2TJkyBQ0bNoS1tTUAcF11Ojo6QiwWA6B9339Ba64aWbNmDfz9/WFvb4+WLVti1apVuHHjBjdecblKsaNUbGAAUKtWLQD/9r9Kyk7+nFasWIE7d+5wP05t27aFWCzGyJEjcfHiRQQFBcHLyws//PADtm3bhvfv31NO5aCwnGJiYgDI+22fP38+1q9fz7X5VGxPSUlJqFGjBvLy8iincpI/q5UrV+L69eswNDTE+PHjYWFhgffv38PPzw/Av703PX/+HIaGhsjNzaWsykFR+z4FxQGvlZUVWrZsiTNnziAhIaGiilttFbY9KXISCASwtbXF69evuSsiiocuJSYmwsTEhPZ9/xGdlqsmYmJi8Mcff8DX1xdfffUVAPkd3y9evEBcXBy0tbVRs2ZNZGVlISwsDE+ePEGzZs1w+/ZtXLhwAaGhoQDozEZZ+1ROOjo60NfXx/Xr12FkZIRt27bB0tISgPyy/vjx46Gvr1+BS1A9FJdTbGwsDA0N4erqCgC4desWDh48iKZNm+LatWs4c+YMQkND6epVOflUVhYWFlixYgVWrlyJP/74A3FxcWjcuDESExNx6tQphIaGKp3EIGWjpL9RAGBoaIj+/ftj6tSpCAkJwZQpU5RuiiRl51M5aWlpoVatWmjSpAlOnTqF1NRUNGzYEDdv3sTp06exc+dO2vf9R3TGvZqQSqXIyMjgKt5paWl48OABtm/fjq5du2LChAnYvXs3NDQ0kJ2djaioKISEhCA+Pp7u+C5Hn8ppzJgxOHnyJPbt24fg4GDY2tpyZy4MDQ1haGhYkcWvNorLqXv37hgzZgx27NgBALhy5QqOHz8OX19fPH78GDt37kTdunUrsvjVSlFZKfqbHjhwIM6cOYPFixdj8eLFUFdXR0xMDFRUVBAeHg4HB4cKXoLqoSS/Ubt27eKmd3FxwcSJE3H48GHk5ORUVLGrnU/lNH78eBw+fBgzZsxAy5YtcfbsWfj7+yMhIYH7zSL/DZ1xr8I+vmEnOzsbxsbG3CVgPz8/ODk5wdPTEx8+fMDp06fh5+cHa2trTJw4ERMmTEBWVhZEIhF3mYuUjc/Nae3atfD29oabmxsAugpSXj4nJ8VTU21tbTFy5EgMHDgQEokE6urqXJeepOx87jbl4+MDXV1duLm5cdsV3TxX9j43p23btsHY2BjffPMNAGDIkCHo0aMHXWUsY5+b0+rVq1GzZk3MmjUL//vf/yCVSiEWi6ku8aUwUmWlpqayDx8+cH///fff3P/v3bvHEhMTub9jY2PZd999x9atW1eeRSTs83J6/Pgx69u3L9uwYUN5FpEw2p74pDRZrV+/XmkeMpmszMtZ3X1uTrTvqxi076tc6Ix7FbV161ZERkYiPT0dJiYm2LJlC5ycnADIj54/fqqjQCCAjY0NTE1NuSfSkfLxuTnZ2trCxMQE9+/fr8BSVz+0PfFHabNS3FisQFeyylZpcqJ9X/mjfV/lQxX3Kmjz5s3YtWsXJk+ejNTUVGRnZyvdXKXYwHJycpQefCAQCGBvb18RRa6WKCd+oJz4g7LiB8qJHyinyokq7lXMhw8fcO7cOa5/VYXU1FS8ePEC9evXh1AoREZGBvz9/aGiogIDAwO8ePECly5dwpQpUyqs7NUJ5cQPlBN/UFb8QDnxA+VUeVHFvYrJzs7GixcvoKOjA0D+UKVp06YhLi4Ob9++hampKby8vNC6dWsIhULs378fWlpaMDMzw86dO+mO73JCOfED5cQflBU/UE78QDlVXgLGqBf8quDx48dcF3M9e/aEs7MzFi5ciFmzZiE1NRUDBw6EtrY2fH19ce/ePWzfvh329vZITEyEtrY2GGPU20U5oJz4gXLiD8qKHygnfqCcKj/q66oK8PPzw+TJk5GSkgLGGPr06YO7d+8iPDwcWVlZ8PT0RPv27dG0aVMEBATA1NQUvr6+AAAjIyNoaGjQhlYOKCd+oJz4g7LiB8qJHygnfqCKO8+tWLECa9aswZMnT7iHInTq1Anq6urYvXs37t+/DysrKwDgHlJRv3595ObmAgD1U1xOKCd+oJz4g7LiB8qJHygn/qA1zWPLli3Dvn37sGHDBtjZ2SEpKQkAYGFhgXnz5kEqleLZs2cICwsDAO6u76ysLBgaGkImk4FaSpU9yokfKCf+oKz4gXLiB8qJX6iNO08tWbIEhw8fxs6dO2FnZ4d27drh+++/h6enJ/fEv0ePHmH+/PlISkqCs7MzGjVqhAcPHuDw4cPYs2cPPXa9HFBO/EA58QdlxQ+UEz9QTvxDvcrwUHh4OEJDQ7F3717Y2dlBJpPB2dkZDx8+5KbJy8uDnZ0dVq5ciePHj+PYsWN48uQJatasidDQUNrQygHlxA+UE39QVvxAOfED5cRTZfdQVlJWrl27xhISEhhjjOXl5THGGDt48CBr2LAhi4mJ4abL/8huqVTKJBJJ+RW0mqOc+IFy4g/Kih8oJ36gnPiJ2rjzkLOzMywsLCCVSrkbQr7++mtYW1vj/PnzAORHyYpHdrN/WkOJRCKlp5uRskU58QPlxB+UFT9QTvxAOfETtXHniUOHDiEuLg6MMTRo0ACdOnUCIN+oRCIRAMDb2xsXL17E8ePHoaqqyrVPI+WHcuIHyok/KCt+oJz4gXLiP6q488Avv/yCPXv2oHnz5oiPj0d2djZsbGywadMmiEQiSKVSqKioIDExEcOGDUPz5s2xcOFCAPIjZMXRMilblBM/UE78QVnxA+XED5RTFVGe7XLI53vw4AH75ptv2KVLlxhjjGVmZrKjR48yV1dXNmDAAJaamsoYk7c5y8nJYVu3bmUDBgxgYWFhFVnsaody4gfKiT8oK36gnPiBcqo66NpHJZeamoqsrCzY2dkBADQ0NNC5c2f8+uuvSElJwdixYwHI25yJxWL07dsXeXl5OHHiBNLT0yuy6NUK5cQPlBN/UFb8QDnxA+VUhVT0kQMp3qtXr1iHDh1YeHh4gXFXr15l7dq1Y1OnTlUa/vLlS+5OcVI+KCd+oJz4g7LiB8qJHyinqoP6ca+ETp06hZcvXyIrKwuNGzeGg4MDzp8/j/r166NBgwbcdI0aNcKkSZOwfft23L17Fw0aNEBeXh5MTU0rsPTVB+XED5QTf1BW/EA58QPlVDVRU5lKxsfHBwsXLsT58+cRHBwMPz8/1KxZE1evXkVgYCDi4+O5aVVVVdG2bVu8fPkSjx8/BgDurnBStignfqCc+IOy4gfKiR8op6qLzrhXIkePHkVERAS2bduGevXqITMzE8OGDYNEIsGKFSswceJEyGQy/Pjjj2jcuDEAQF9fH3Z2dtDW1q7g0lcflBM/UE78QVnxA+XED5RT1UYV90rkyZMnsLOzg4ODA3Jzc6GpqYkxY8Zg2rRp+Omnn+Dv74/Zs2cjNTUVrVu3RqNGjXD69Gk8ffoU9erVq+jiVxuUEz9QTvxBWfED5cQPlFPVRhX3SoD90z9qYmIikpOTIRAIIBaLAQB6enqQSqV4+fIlWrZsiU2bNiE8PBw7d+6EWCyGhoYGAgMDYW5uXsFLUfVRTvxAOfEHZcUPlBM/UE7VA1XcKwHFQw06deqEGzdu4NmzZ7CwsAAg39hEIhFycnLAGEPDhg3RsGFDpKWlcU8609HRqcjiVxuUEz9QTvxBWfED5cQPlFP1QBX3SqRt27aws7ODkZERNyw9PZ07GlbYvn07VFVVMWjQoIooZrVHOfED5cQflBU/UE78QDlVbdSrTCVjYmLCXdoCgDdv3kAqlUJHRwcCgQDr1q3DypUr0bRp0wosJaGc+IFy4g/Kih8oJ36gnKouqrhXcrm5uRCJRNDW1samTZsQGBiI8PBw7ulnpHKgnPiBcuIPyoofKCd+oJyqDmoqU0kpbjJRU1ODrq4u5s2bhz/++AOhoaFo2LBhRReP/INy4gfKiT8oK36gnPiBcqp6qOJeSSluMrGyskJiYiLOnDmDPXv2wNHRsYJLRj5GOfED5cQflBU/UE78QDlVPdRUppKztrbG4MGDsX//ftrQKjHKiR8oJ/6grPiBcuKH0ubEGCvDUpHSoIp7Jaeuro7Zs2fD1ta2ootCikE58QPlxB+UVeV0584dDBw4ECYmJlBVVYW1tTVu3bqF9PT0ii5ambt69SqGDh2KOnXqQENDA7a2thgzZgzi4uI+e17Dhw+HlZXVfy6TlZUVBAIBfvjhhyKncXFxgYaGBnJycj5rezp06BA8PDw+Od2XWpaS8Pf3h0AgQM+ePZWGL1iwAAKBoNiXooyKaUvq0aNHEAgEqFGjBiQSSZHTBQcHo1WrVtDV1YWmpiYaNGiAn3/+GWlpaaVa1qJQxZ0HPr4znFRelBM/UE78QVlVLnfv3kXLli2RnJyMDRs24NSpU/Dx8cGzZ8/g4uKCqKioii5imdm0aRNatmyJN2/eYMWKFYiIiMDs2bNx9uxZNG3aFDdv3vys+Xl7e+PAgQNfpGxCoRBHjhxBdnZ2gXHx8fG4fPkyAEAkEn3WfNesWYOEhIRPTvcll+VTAgMD0ahRI0RERODZs2fc8FGjRuHSpUvca+TIkQCgNKy0ZQwMDISjoyNSU1Oxd+/eQqdZuHAhxowZg/bt2yMsLAyHDh3C0KFDsXHjRri5uSE3N7dUn10oRgghhBDyCSNGjGCWlpYsNzdXaXh6ejozNzdn3bp1q6CSla0LFy4wkUjE/ve//xUY9/btW2Zubs6cnZ3Lv2CMMUtLS9a2bVsGgO3fv7/A+OXLlzMnJycGgM2fP/+z5u3q6spcXV2/TEG/gPv37zMA7Pjx40xPT4/NmzevyGnnz5/PiqriFjcuP6lUyszMzNiCBQtYly5dWJs2bQpMI5FImIaGBps7d26BcQcPHmQAWHh4eIk+ryTojDshhBBCPun169dgjEEmkykN19LSwq+//orvv/9eaXhYWBiaNm0KbW1tmJiYYNy4cXj37h03vrAmFvHx8RAIBAgODgYAnD17FgKBAFu3boWlpSV0dXVx6tQpAMCxY8fQunVraGlpwczMDOPGjcP79++5eSUkJGDQoEEwNDSEpqYm3Nzc8Pfffyt9Xvv27T/ZzGP16tXQ19fHsmXLCoyrWbMm1qxZg969eyMjIwMAkJeXh82bN6NRo0bQ0NBAnTp1MHv2bKUz4vmX3crKCvPnz8eMGTNgbGwMDQ0NuLu749GjR8WWDQBsbGzQtGlT7Nmzp8C4sLCwQh+wlJ2djZkzZ8LCwgJqampo3LgxwsLCuPHt27fHuXPncO7cOQgEApw9e7bILPIvC2MMa9euhaOjIzQ0NFC3bl34+Phw7eUTExMxePBgmJiYQF1dHU5OTggJCfnkcgYGBsLAwAAdO3ZEv379EBAQAKlU+sn3/RcnTpzAy5cv0aNHDwwZMgQXLlzAvXv3lKZJTU1FVlZWge0CALp164alS5fCxsbmyxXqix0CEEIIIaTK2rx5MwPAnJ2d2caNG9m9e/eYTCYrdNrFixczgUDAJk6cyI4fP842b97MjIyMWOPGjVlmZiZjjDEPDw9maWmp9L64uDgGgAUFBTHGGDtz5gwDwExNTdmePXtYSEgIS09PZ4cPH2YCgYD17t2bHTlyhIWEhLBatWqxzp07M8YYS0xMZObm5szOzo7t2rWLHTx4kLVv355pa2uze/fucZ939+5ddv369SKXWSaTMXV1dfb999+XeD2NHDmSicVi5u3tzU6ePMlWrlzJNDU1WefOnbn1lX/ZLS0tmZ6eHuvevTs7duwY27lzJzMyMmIuLi7FfpalpSXz8PBgq1evZjo6OiwrK4sbFxMTwwQCAXv69KnSGXeZTMbc3d2Zjo4OW7NmDTt+/DgbO3YsA8C2b9/OrZcmTZqwJk2asEuXLrHU1NQis8i/LF5eXkwkErGZM2eyU6dOsWXLljGhUMiWLVvGGGOsc+fOzMnJiR04cIBFRkay4cOHMwAsMjKyyOXMzc1lJiYmbOLEiYwxxv78808GgO3bt6/Q6b/UGfe+ffuyBg0aMMYYy8jIYDo6OmzSpEkFpmvRogUTiURs2LBh7MCBAywxMbFE8y8NqrgTQgghpES8vb2Zuro6A8AAsBo1arDBgwez6OhobpqUlBSmpqbGxo4dq/Te8+fPMwBs06ZNjLHPq7gvXrxYabqvv/6aNWnSROnAITQ0lNnb27PXr1+zuXPnMnV1dRYfH8+Nl0gkzMbGhvXr16/Ey/v27VsGgM2aNatE09+9e5cBYMuXL1cavmPHDgaAHT16lDFWeMXdysqKSaVSbtjChQsZAJaUlFTk5ykq7k+fPmUCgUCpucyCBQtY69atGWNMqeJ+8uRJBoCFhoYqzWvIkCHM1NSUawqVv6lMUVl8vCzv3r1jKioqbMqUKUrTTJ48mbm7uzPGGFNTU2NLly7lxuXl5TEvLy928eLFIpfz0KFDDAC7evUqN8zOzo516tSp0Om/RMU9KSmJqaqqMh8fH27YqFGjmL6+PsvIyFCa9tmzZ6xDhw7cdiEQCFjDhg3Zzz//zFJSUj75WZ+DmsoQQgghpEQWLVqEly9fYvfu3Rg5ciR0dXWxa9cutGjRAuvXrwcAREVFQSKRFGii0bZtW1haWuLs2bOf/blOTk7c/7OysnD9+nX06dNHqXeQAQMG4MGDBzA2Nsbp06fh5OQEc3NzSKVSSKVSCIVCdO3alWtqUxIqKvLH3eTl5ZVo+nPnzgFAgWUfOHAgRCJRscverFkzpRtIa9euDQBcE5zi1KlTBy4uLkrNZYpqJnP69GkIBAJ0796dWzdSqRTffvstXr16hTt37hT7WR9nkV9UVBSkUim+++47peHr1q1DREQEAKBDhw6YP38++vfvj4CAALx58warV69Gq1atipxvYGAgHBwcYGtri/fv3+P9+/fo378//vjjD8TGxhZb3tLauXMnpFIpevTowX3md999h/fv3ys1KwLkWUVGRuLu3bvw8fFBt27d8PTpUyxatAj169cvUZOnkqKKOyGEEEJKzMDAAIMGDcK2bdsQGxuL69evw9HRETNnzkRycjJSUlIAACYmJgXea2JiotQOvaS0tbW5/6ekpIAxhlq1ahU5fXJyMqKioiAWi5VemzZtQmpqKjIzM0v0uQYGBtDR0cHTp0+LnCYjI4Nru1/UsquoqKBGjRrFLrumpqbS30KhvIpWWNvpwgwYMIDrXebWrVt4+PAh+vfvX2C65ORkMMago6OjtG4U9yi8fPmy2M/5OIvC5g2g2GxCQ0Mxbdo0XLlyBaNGjULt2rXh7u5e5Dp++/Ytjh49igcPHsDAwIB7LVu2DIwx+Pn5FVve0goKCoJMJkO9evW4z+zWrRsAYMuWLYW+p379+pg+fTqOHDmC5ORkbN26FUlJSZgzZ84XKxdV3AkhpArZsGEDHBwcCrwaN26Mjh07Yu7cuUrdqCkMHToUDg4OxVZQvpSOHTvCwcGh1DeW7d+/Hw4ODpg9e3ax082ePRsODg7Yv39/qT4HABwcHNCuXbtSv/9zlzUnJwd+fn4lPsNbXl68eAEzMzMEBAQUGNekSRMsXboUEokEsbGxMDQ0BCC/mTW/V69eoUaNGgDkT/XMv5wl6Q9eT08PAoEAiYmJSsOzs7MRERGBlJQU6Ovrw9XVFVeuXCn0paamVuJl79KlC86cOVNod4uAvG/xGjVq4Pr160Uue25uLpKSkrhlLwv9+/dHRkYGjh8/jrCwMHTs2LHQCrS+vj60tbWLXDfFnfn+FH19fQAokE1CQgLOnDmD3Nxc6OnpYeXKlYiPj0dMTAyWL1+OCxcuYMKECYXOU3Hm++DBgzhz5ozSq127dggKCkJOTk6py1yY69ev4+bNm1i0aFGBz5w8eTKio6Nx48YNAPKrCTVr1ixwMCgWizFmzBh07969wA2t/wVV3AkhpApq3rw5PD094enpiYkTJ2Lw4MGwt7fHwYMH0adPnzK7vFzVeHp64scffyy3zxsyZAh++eWXSvfEShMTE6ioqGDTpk2FVmAfPHgAdXV12NnZoUWLFlBTU8Nvv/2mNM2ff/6JhIQEtGnTBgCgq6uLpKQkpflduHDhk2XR1taGk5MTDh8+rDQ8IiIC3bp1w8uXL+Hq6ooHDx7A3t4eTZs25V47duxAQEDAZ/VpPn36dCQnJ2PevHkFxr1+/Ro+Pj6oX78+nJ2d4erqCgAFlj00NBR5eXncspcFMzMztGnTBnv37kV4eHihzWQAwNXVFenp6WCMKa2b27dvY+HChdxB5uf2+w4ALVq0gFgsLpDNL7/8goEDB+Lly5ewsLDg+kN3cHDAzJkz0alTpyJPGgQFBaFly5bo1asX2rdvr/QaM2YMEhMT/9PBeWECAwOhrq6OKVOmFPhMLy8vCIVC7qx7/fr1kZSUhA0bNhSYT15eHmJjY9GoUaMvVjaVLzYnQgghlUbz5s0xadKkAsOPHDmC6dOnY/Xq1UVe7iX/KmwdlqWkpKRy/bySEolE8PX1Re/evdG0aVN4enrC0dERmZmZOHnyJDZu3IglS5bAwMAAgPxqx6JFiyAWi9GzZ0/ExcXB29sb9evX557G2aNHD6xfvx6jRo3CyJEjcfv2bfzyyy8lqjAuWrQI3377LQYNGgQPDw+8fv0ac+bMQe/evdGwYUNMmzYNO3bswDfffAMvLy8YGRkhLCwM/v7+WLt2LTefe/fuQSKRoEmTJkV+louLCxYvXox58+bh/v378PDwQI0aNXDnzh2sXr0aWVlZXLt5xfL9/PPPyMzMRLt27XDjxg0sWLAAHTp0gLu7+3+J4ZMGDBiAKVOmQCgUFmhnrtCtWze0a9cOvXr1gre3NxwdHREdHY2ff/4Z7u7u3FUBfX19XLp0CZGRkcWun4/VqFEDU6ZMwZo1a6CmpgZXV1dcvnwZmzdvho+PDywtLVG7dm1MnjwZHz58gK2tLa5evYpjx44V2pwkOjoad+7cKbRSDAB9+vSBjo4OtmzZgoEDB5ZwLcn9+uuvBYbp6+tj0KBB2L17N7p37w4dHZ0C01hYWKB9+/bYtWsXVq9ejU6dOmHQoEGYM2cObt26hb59+6JmzZp4/vw5tmzZgufPnxfaVWepfdFbXQkhhFSo9evXM3t7e7Z+/fpCx8tkMubs7MycnJyUhg8ZMoTZ29sr9cJRVjp06MDs7e0LPMinpPbt28fs7e0/2dPHrFmzmL29fZFdxpWHz13W/7puytq1a9fYwIEDWe3atZmamhrT1dVl7du3L3Qd+/r6svr16zNVVVVmamrKJkyYUKCHDR8fH1anTh2mpqbGWrVqxa5du8bU1NQK9Cpz5syZAvM/cuQIa9asGVNTU2O1a9dm06dPZ+np6dz4x48fs/79+zMDAwOmoaHBvvrqKxYQEKA0D1dX1wI92xTl2LFjrFu3bszU1JSpqamxunXrsnHjxrGEhASl6aRSKVuyZAmzsbFhYrGYWVlZsblz5yp11VhYrzIeHh5K8wkKCmIAWFxcXJFlyv++N2/eMJFIxHr16qU0HfI9gCk9PZ1NnTqV1a5dm6mqqjJra2s2Z84cpTJGRkayOnXqMFVVVbZr164is8i/LDKZjK1evZrZ2toyNTU1Vq9ePbZlyxZu/KtXr9jw4cOZmZkZU1VVZba2tmzp0qUsLy+vwPKNGzeOiUQi9vr16yLXgaI7yfv373PDStKrTGEvW1tbFhoaygCwPXv2FPmZwcHBDADz9fVljMl7xtm6dStr27YtMzAwYGKxmJmbm7Phw4ezJ0+eFDmf0hAwVsmuxxFCCCm1DRs2YOPGjfD09CzybHHz5s0hEAi4R6ED8jbu0dHROHnyJCwtLbnhjx49wpYtWxAVFYXU1FQYGRmhXbt2GD9+PMzMzArM+/jx49i9ezdiYmIgk8lgY2ODYcOGoUePHtw0HTt2xIsXL3D37l2u14579+5h+PDhkEgk8PX1Lbad7f79+zFnzhz06dMHK1asKHK62bNn48CBA1i+fLnS2UeJRILg4GAcPnwYCQkJUFNTw1dffYWxY8eiWbNmSvNwcHCAsbExzp8/r/R+Pz8/HD58GK9fv4apqSkGDRoEfX19zJo1S+nzFMt6+vRpbNiwAefPn0dGRgasra3h4eHBTXf58mUMGzasQE47duwocvkIIdUPNZUhhJBq5Pjx40hNTcXgwYM/Oe2FCxcwfvx4SKVSuLq6wsrKCvfv30d4eDhOnjyJ4OBgODo6ctOvWrUKAQEBMDAwgJubG3R0dHDixAlMnz4dz549w/jx4wv9nAcPHuDHH39ETk4Otm7dChcXly+2vPllZWVh+PDhuHHjBho0aIBBgwYhMzMTJ06cwLBhw7B06dIimxgAgFQqxahRoxAdHQ17e3sMGjQIr1+/xsqVK7nu+wozYMAAaGtro1evXvjw4QOOHDmCOXPmcN0mmpubw9PTE9u3b0daWhomTJgACwuLslgFhBAeo4o7IYRUQdHR0UrtQiUSCZ48eYKzZ8/CxcUFXl5exb4/IyMDM2bMAGMM/v7+SjfVhYeHw9vbG9OmTcPRo0chFApx/fp1BAQEwM7ODoGBgVxvFhMnTkSfPn2wceNGDBgwgOt1QyE2NpartPv7+xc4412c+/fvF9n2VTE+v3Xr1uHGjRsYPXo0pk+fzvUD7unpie+//x7z589Hq1atCu3KEAB2796N6OhodOnSBWvWrOGuGJw4cQKTJ08usiwNGzbExo0bIRaLAch7KhkzZgzX13bt2rUxadIkHDhwAGlpaZg4cSI3b0IIUaC9AiGEVEHR0dGIjo4udJyBgQGSk5ML9Bv9scjISKSkpGDAgAEFesL4/vvvcfjwYe4zXFxc8PvvvwMApkyZotQFnZ6eHn766Sc8evSoQG8kT58+hYeHB7Kzs7Ft2zZ8/fXXn7WMMTExiImJKfH0eXl52LNnDwwNDTF16lSlh/cYGxtj5MiRWLp0KX7//XeMHTu20Hns27cPIpEIc+bMUapYd+nSBS1atFBqfvQxT09PrtIOAO3atYOamlq5dL9JCKk6qOJOCCFVUP427hKJhHuQybp163D16lUcOHAANWvWLPT9in6HW7RoUej4Zs2aITo6Gvfv34eLiwt3druw3ifc3Nzg5uZWYPiPP/6IxMREWFtbl6q7tJK2cVeIi4tDeno6TExMsHnz5gLTv3jxAgBw9+7dQueXk5ODmJgYmJmZwdTUtMD4pk2bFllxt7a2VvpbIBBAX18fb968KbL8hBCSH1XcCSGkGlBTU4OFhQXGjRuHd+/eITg4GDt27MC0adMKnT4tLQ1A0U9JNDY2BgDuoSOKJ0IW1n1aUdLT09G6dWtcvHgRGzZswPTp00v83tJITU0FIO97e+PGjZ+cLj/F0zGLOthRrJPCqKurl7SYhBBSJKq4E0JINdOqVSsEBwcX28xEUWF/+/ZtoeMVlVvFkxIVzW7S0tJgZGSkNG1OTg4EAoFSUxEACAgIgI2NDbp164bAwEC4u7ujQYMGpVqmktDS0gIAtG3bFtu2bSv1+xUHNfllZGSUvnCEEFIC9ORUQgipZhRnjos7O16/fn0AKLKdvKJJiIODAwCgXr16AICbN28WmDY8PByNGzdWarYCAI0aNeLawEulUsyZMwe5ubmfuTQlZ2NjA3V1dcTExBT6iPQrV67Ax8cHf/31V6Hv19bWhrW1NZ4+fcqtw48pHoFOCCFlhSruhBBSjWRmZiIkJAQA0KlTpyKnc3Nzg76+Po4cOaLUhzkAHDx4EBcuXIClpSWcnZ0BAL179wYg70f+40ptWloaQkJCIBQK0bJly0I/q1u3bujQoQMePHiArVu3/pfFK5aqqiq+/fZbJCYmYvXq1ZDJZNy4d+/ewdvbG/7+/pBIJEXOo3///sjLy8PKlSu5R8MDwMWLF3H69On/XEbFVYmyPIAhhPAXNZUhhJAqKH93kIwxJCUl4dSpU0hJSYGbmxu6dOlS5Pu1tLSwatUqeHp6YuzYsXB1dYW1tTViYmLw119/QV9fH2vWrIFQKD//4+LigqFDh2LHjh3o2bMnOnToAFVVVZw8eRJv376Ft7d3kV0sAsD8+fNx+fJlbNmyBZ07d4a9vf2XWxkfmTFjBm7cuIGQkBBcvnwZzZs3h1QqxcmTJ5GcnIx+/fqhffv2Rb5/6NChOHnyJA4cOID79++jRYsWeP36Nf744w/o6ekhJSWFWyelYWpqivj4eHh5eaF58+bw8PAo9bwIIVUPVdwJIaQKyt8dpEgkgo6ODuzt7dGjRw/069dPqTvEwri6umLPnj3YunUrLl++jAsXLqBWrVoYPHgwxowZU6AiPm/ePDRq1Ai//fYbDh8+DJlMBkdHR8ydOxddu3Yt9rNMTU0xbdo0LFmyBHPmzEF4eDhEIlHpV0ARdHV1ERoaiqCgIERERCAsLAyampqwtrbGzJkz8e233xa7XlRVVREQEIDNmzcjIiICu3fvhrm5OebNm4eEhAQEBQUV283mp3h5eWHu3Lk4d+4cHj58SBV3QogSAWOMVXQhCCGEED54/vw5DAwMuBtVPzZ9+nQcOXIEe/bsQePGjSugdISQqo7auBNCCCEltHz5cjg7O+POnTtKw588eYLIyEgYGBhwN+oSQsiXRmfcCSGEkBK6ePEiRo8eDXV1dXTu3Bm1atXCq1ev8Mcff0AikWDNmjVwd3ev6GISQqooqrgTQgghn+HGjRsIDAzErVu3kJSUBH19fTRp0gQjRowo9MmxhBDypVDFnRBCCCGEEB6gNu6EEEIIIYTwAFXcCSGEEEII4QGquBNCCCGEEMIDVHEnhBBCCCGEB6jiTgghhBBCCA9QxZ0QQgghhBAeoIo7IYQQQgghPEAVd0IIIYQQQniAKu6EEEIIIYTwwP8BfQMHh0T9THkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(\n",
    "    data=both_tx_bbb,\n",
    "    y=both_tx_bbb['Total Amount'],\n",
    "    x=both_tx_bbb.index,\n",
    "    color='purple'\n",
    ")\n",
    "ax.set_xlabel(\"Block Height\", fontsize = 15)\n",
    "ax.set_ylabel(\"Total Transfer \\nAmount\", fontsize = 15)\n",
    "plt.setp(ax.get_xticklabels(), rotation=45)\n",
    "ax.xaxis.set_ticks(plt.gca().get_xticks())\n",
    "plt.gca().set_xticklabels(['{:.0f}'.format(x) for x in plt.gca().get_xticks()])\n",
    "ax.yaxis.set_ticks(plt.gca().get_yticks())\n",
    "plt.gca().set_yticklabels(['${:,.1f}M'.format(y/1000000) for y in plt.gca().get_yticks()])\n",
    "plt.ylim([both_tx_bbb['Total Amount'].min(), both_tx_bbb['Total Amount'].max()*1.1])\n",
    "plt.xlim([both_tx_bbb.index[0], both_tx_bbb.index[-1]])\n",
    "plt.annotate(\n",
    "    'Source: Coin Metrics ATLAS',\n",
    "    xy=(1, -0.195),\n",
    "    xycoords='axes fraction',\n",
    "    color='black',\n",
    "    xytext=(-8, 6), \n",
    "    textcoords='offset pixels',\n",
    "    horizontalalignment='right',\n",
    "    verticalalignment='bottom'\n",
    ")\n",
    "ax.set_title('\\nUSDC and USDT\\nTransferred in Same Transaction\\n', fontsize = 17);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2404ad60-8b2e-4312-8690-cabf6d18ccb1",
   "metadata": {},
   "source": [
    "# Entity-Based Metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d824c99-cf59-40c9-a742-65607d60f96f",
   "metadata": {},
   "source": [
    "With **ATLAS,** we can derived our own metrics based on externally-sourced tagged addresses.\n",
    "\n",
    "In this example, we leverage our catalog of Uniswap liquidity pool contract addresses to **estimate USDC inflows and DEX Supply** for major trading pairs."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5584444-471e-4eed-944c-224937745796",
   "metadata": {},
   "source": [
    "### Retrieving DEX Markets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1f3b563c-e4c6-4fe9-9849-f1ac639aa578",
   "metadata": {},
   "outputs": [],
   "source": [
    "defi_mkts = client.reference_data_markets(\n",
    "    exchange=\"uniswap_v3_eth\",\n",
    "    asset=\"usdc\",\n",
    "    page_size=1000\n",
    ").to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "6c6fb515-4225-4f22-984a-42d7504907aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>market</th>\n",
       "      <th>exchange</th>\n",
       "      <th>base</th>\n",
       "      <th>quote</th>\n",
       "      <th>pair</th>\n",
       "      <th>symbol</th>\n",
       "      <th>type</th>\n",
       "      <th>size_asset</th>\n",
       "      <th>margin_asset</th>\n",
       "      <th>strike</th>\n",
       "      <th>...</th>\n",
       "      <th>order_amount_min</th>\n",
       "      <th>order_amount_max</th>\n",
       "      <th>order_price_increment</th>\n",
       "      <th>order_price_min</th>\n",
       "      <th>order_price_max</th>\n",
       "      <th>order_size_min</th>\n",
       "      <th>order_taker_fee</th>\n",
       "      <th>order_maker_fee</th>\n",
       "      <th>margin_trading_enabled</th>\n",
       "      <th>experimental</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>uniswap_v3_eth-agg-wbtc-usdc-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>wbtc</td>\n",
       "      <td>usdc</td>\n",
       "      <td>wbtc-usdc</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>uniswap_v3_eth-agg-wsteth-usdc-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>wsteth</td>\n",
       "      <td>usdc</td>\n",
       "      <td>wsteth-usdc</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>uniswap_v3_eth-agg-xaut_2_eth-usdc-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>xaut_2_eth</td>\n",
       "      <td>usdc</td>\n",
       "      <td>xaut_2_eth-usdc</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>uniswap_v3_eth-agg-xsgd_eth-usdc-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>xsgd_eth</td>\n",
       "      <td>usdc</td>\n",
       "      <td>xsgd_eth-usdc</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>uniswap_v3_eth-agg-yfi-usdc-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>yfi</td>\n",
       "      <td>usdc</td>\n",
       "      <td>yfi-usdc</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      market        exchange        base  \\\n",
       "372        uniswap_v3_eth-agg-wbtc-usdc-spot  uniswap_v3_eth        wbtc   \n",
       "373      uniswap_v3_eth-agg-wsteth-usdc-spot  uniswap_v3_eth      wsteth   \n",
       "374  uniswap_v3_eth-agg-xaut_2_eth-usdc-spot  uniswap_v3_eth  xaut_2_eth   \n",
       "375    uniswap_v3_eth-agg-xsgd_eth-usdc-spot  uniswap_v3_eth    xsgd_eth   \n",
       "376         uniswap_v3_eth-agg-yfi-usdc-spot  uniswap_v3_eth         yfi   \n",
       "\n",
       "    quote             pair  symbol  type  size_asset  margin_asset  strike  \\\n",
       "372  usdc        wbtc-usdc    <NA>  spot        <NA>          <NA>    <NA>   \n",
       "373  usdc      wsteth-usdc    <NA>  spot        <NA>          <NA>    <NA>   \n",
       "374  usdc  xaut_2_eth-usdc    <NA>  spot        <NA>          <NA>    <NA>   \n",
       "375  usdc    xsgd_eth-usdc    <NA>  spot        <NA>          <NA>    <NA>   \n",
       "376  usdc         yfi-usdc    <NA>  spot        <NA>          <NA>    <NA>   \n",
       "\n",
       "     ...  order_amount_min  order_amount_max  order_price_increment  \\\n",
       "372  ...              <NA>              <NA>                   <NA>   \n",
       "373  ...              <NA>              <NA>                   <NA>   \n",
       "374  ...              <NA>              <NA>                   <NA>   \n",
       "375  ...              <NA>              <NA>                   <NA>   \n",
       "376  ...              <NA>              <NA>                   <NA>   \n",
       "\n",
       "     order_price_min  order_price_max  order_size_min  order_taker_fee  \\\n",
       "372             <NA>             <NA>            <NA>             <NA>   \n",
       "373             <NA>             <NA>            <NA>             <NA>   \n",
       "374             <NA>             <NA>            <NA>             <NA>   \n",
       "375             <NA>             <NA>            <NA>             <NA>   \n",
       "376             <NA>             <NA>            <NA>             <NA>   \n",
       "\n",
       "     order_maker_fee  margin_trading_enabled experimental  \n",
       "372             <NA>                    <NA>         True  \n",
       "373             <NA>                    <NA>         True  \n",
       "374             <NA>                    <NA>         True  \n",
       "375             <NA>                    <NA>         True  \n",
       "376             <NA>                    <NA>         True  \n",
       "\n",
       "[5 rows x 37 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "defi_mkts.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f0d402dc-36b1-46c5-b0dd-fba61ba01dd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['2ee7e6e459fffbbc655f09f2e1b3131abf98c397',\n",
       " '735a26a57a0a0069dfabd41595a970faf5e1ee8b',\n",
       " 'bafead7c60ea473758ed6c6021505e8bbd7e8e5d',\n",
       " '5e35c4eba72470ee1177dcb14dddf4d9e6d915f4',\n",
       " '0eff06710d737c7548c8177ba42e3abdcf3477a7']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "defi_list = defi_mkts.contract_address.dropna().tolist()\n",
    "defi_list[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "248d77a5-0c26-4309-9f06-bae95328dab4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "262"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(defi_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8c212c1e-bbce-4e43-bebf-0740d244233f",
   "metadata": {},
   "outputs": [],
   "source": [
    "day_end = datetime.now()\n",
    "day_start = day_end - timedelta(days=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "5f4be346-d837-4b4a-a576-3a1dd520fad2",
   "metadata": {},
   "outputs": [],
   "source": [
    "defi_balance = client.get_list_of_balance_updates_v2(\n",
    "    asset=asset,\n",
    "    accounts=defi_list,\n",
    "    start_time=day_start,\n",
    "    end_time=day_end,\n",
    "    page_size=10000\n",
    ").to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "516d15b7-8f87-4cf3-b81d-ff4a078f6707",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>13609065</td>\n",
       "      <td>-28863.215208</td>\n",
       "      <td>11071275.082429</td>\n",
       "      <td>11042411.867221</td>\n",
       "      <td>1</td>\n",
       "      <td>450271</td>\n",
       "      <td>480108</td>\n",
       "      <td>1edac3c91bbe0bb36fb8c807ed9e41b8f7ee200f16df59...</td>\n",
       "      <td>20763838</td>\n",
       "      <td>2024-09-16 14:41:47+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>52795130311.495941</td>\n",
       "      <td>52784087899.628723</td>\n",
       "      <td>20763830</td>\n",
       "      <td>20763803</td>\n",
       "      <td>89179970789703720</td>\n",
       "      <td>4756f0560c8b10673f64b914c1bdc938fd14166a0fbfd6...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1034</th>\n",
       "      <td>89180005149442110</td>\n",
       "      <td>3416cf6c708da44db2624d63ea0aaef7113527c6</td>\n",
       "      <td>13609065</td>\n",
       "      <td>-29995.561842</td>\n",
       "      <td>11042411.867221</td>\n",
       "      <td>11012416.305379</td>\n",
       "      <td>0</td>\n",
       "      <td>450272</td>\n",
       "      <td>480108</td>\n",
       "      <td>1edac3c91bbe0bb36fb8c807ed9e41b8f7ee200f16df59...</td>\n",
       "      <td>20763838</td>\n",
       "      <td>2024-09-16 14:41:47+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>52795130311.495941</td>\n",
       "      <td>52784117895.190559</td>\n",
       "      <td>20763838</td>\n",
       "      <td>20763803</td>\n",
       "      <td>89180005149442094</td>\n",
       "      <td>b9ea155e1f0d6e98a1cb085f4fd4b4efcd5e7df9bbdd35...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1035</th>\n",
       "      <td>89180056689049603</td>\n",
       "      <td>3416cf6c708da44db2624d63ea0aaef7113527c6</td>\n",
       "      <td>13609065</td>\n",
       "      <td>4160.547575</td>\n",
       "      <td>11012416.305379</td>\n",
       "      <td>11016576.852954</td>\n",
       "      <td>1</td>\n",
       "      <td>450272</td>\n",
       "      <td>480109</td>\n",
       "      <td>2b8cab87607901cf45b8739a8ac88ff4c80b3edf3e2bed...</td>\n",
       "      <td>20763850</td>\n",
       "      <td>2024-09-16 14:44:11+00:00</td>\n",
       "      <td>True</td>\n",
       "      <td>52795134472.043518</td>\n",
       "      <td>52784117895.190559</td>\n",
       "      <td>20763838</td>\n",
       "      <td>20763803</td>\n",
       "      <td>89180005149442110</td>\n",
       "      <td>2184156b4af099618f7ce8773c06881027e3ebf711768b...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1036 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      chain_sequence_number                                   account  \\\n",
       "0         89149553831313431  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1         89149738514907201  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "2         89149777169612812  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "3         89149794349482033  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "4         89149957558239248  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "...                     ...                                       ...   \n",
       "1031      89179966494736406  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1032      89179970789703720  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1033      89180005149442094  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1034      89180005149442110  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1035      89180056689049603  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "\n",
       "      account_creation_height        change  previous_balance  \\\n",
       "0                    13609065         0.496    8838821.586622   \n",
       "1                    13609065    588.944621    8838822.082622   \n",
       "2                    13609065   -287.318755    8839411.027243   \n",
       "3                    13609065        1801.0    8839123.708488   \n",
       "4                    13609065   -399.070421    8840924.708488   \n",
       "...                       ...           ...               ...   \n",
       "1031                 13609065     -2.047597   11071334.757652   \n",
       "1032                 13609065    -57.627626   11071332.710055   \n",
       "1033                 13609065 -28863.215208   11071275.082429   \n",
       "1034                 13609065 -29995.561842   11042411.867221   \n",
       "1035                 13609065   4160.547575   11012416.305379   \n",
       "\n",
       "          new_balance  transaction_sequence_number  n_debits  n_credits  \\\n",
       "0      8838822.082622                            1    449800     479578   \n",
       "1      8839411.027243                            0    449800     479579   \n",
       "2      8839123.708488                            0    449801     479579   \n",
       "3      8840924.708488                            0    449801     479580   \n",
       "4      8840525.638067                            0    449802     479580   \n",
       "...               ...                          ...       ...        ...   \n",
       "1031  11071332.710055                            0    450269     480108   \n",
       "1032  11071275.082429                            0    450270     480108   \n",
       "1033  11042411.867221                            1    450271     480108   \n",
       "1034  11012416.305379                            0    450272     480108   \n",
       "1035  11016576.852954                            1    450272     480109   \n",
       "\n",
       "                                             block_hash    height  \\\n",
       "0     7ed29942135604bafad3c2820bd06b9757c2ef380e1a87...  20756748   \n",
       "1     304588d181e196c16aedf2a9721aa6e27ae16484662d13...  20756791   \n",
       "2     19b757a736ac358fe9f269806a985eb32a8549b01ebfa3...  20756800   \n",
       "3     148424378d89962dee8f9bd2c63de38cb13ff02297ed31...  20756804   \n",
       "4     c51c6f67d2af4dcb65c712c13ed8bfc6f87051b60e2e50...  20756842   \n",
       "...                                                 ...       ...   \n",
       "1031  9468ed9db151616d84f3206a3c865f15cd1a844d1dabce...  20763829   \n",
       "1032  6db5093f808e69f6e0871973efb6ef56e845c595c7b357...  20763830   \n",
       "1033  1edac3c91bbe0bb36fb8c807ed9e41b8f7ee200f16df59...  20763838   \n",
       "1034  1edac3c91bbe0bb36fb8c807ed9e41b8f7ee200f16df59...  20763838   \n",
       "1035  2b8cab87607901cf45b8739a8ac88ff4c80b3edf3e2bed...  20763850   \n",
       "\n",
       "                consensus_time  credit      total_received  \\\n",
       "0    2024-09-15 14:55:23+00:00    True  52777858266.775307   \n",
       "1    2024-09-15 15:03:59+00:00    True  52777858855.719925   \n",
       "2    2024-09-15 15:05:47+00:00   False  52777858855.719925   \n",
       "3    2024-09-15 15:06:35+00:00    True  52777860656.719925   \n",
       "4    2024-09-15 15:14:11+00:00   False  52777860656.719925   \n",
       "...                        ...     ...                 ...   \n",
       "1031 2024-09-16 14:39:59+00:00   False  52795130311.495941   \n",
       "1032 2024-09-16 14:40:11+00:00   False  52795130311.495941   \n",
       "1033 2024-09-16 14:41:47+00:00   False  52795130311.495941   \n",
       "1034 2024-09-16 14:41:47+00:00   False  52795130311.495941   \n",
       "1035 2024-09-16 14:44:11+00:00    True  52795134472.043518   \n",
       "\n",
       "              total_sent  previous_debit_height  previous_credit_height  \\\n",
       "0     52769019444.692688               20756718                20756719   \n",
       "1     52769019444.692688               20756718                20756748   \n",
       "2     52769019732.011436               20756718                20756791   \n",
       "3     52769019732.011436               20756800                20756791   \n",
       "4     52769020131.081856               20756800                20756804   \n",
       "...                  ...                    ...                     ...   \n",
       "1031  52784058978.785889               20763827                20763803   \n",
       "1032  52784059036.413513               20763829                20763803   \n",
       "1033  52784087899.628723               20763830                20763803   \n",
       "1034  52784117895.190559               20763838                20763803   \n",
       "1035  52784117895.190559               20763838                20763803   \n",
       "\n",
       "      previous_chain_sequence_number  \\\n",
       "0                  89149429277261831   \n",
       "1                  89149553831313431   \n",
       "2                  89149738514907201   \n",
       "3                  89149777169612812   \n",
       "4                  89149794349482033   \n",
       "...                              ...   \n",
       "1031               89179957904801814   \n",
       "1032               89179966494736406   \n",
       "1033               89179970789703720   \n",
       "1034               89180005149442094   \n",
       "1035               89180005149442110   \n",
       "\n",
       "                                                   txid  \n",
       "0     fa419c42e98bb83b53529891a8ba32768709eb8b254fc2...  \n",
       "1     9c6bfbf5f155940e832deb6150585f4022f5b07d65c8c8...  \n",
       "2     2095dd79f657e109c82e0589c610a313b873cfa5c5e874...  \n",
       "3     09498f7b3ec4307371fc300365d99a0d9eba79a5c69b68...  \n",
       "4     3c89ecbd238ff474415db6b9d5b4f1821667ea4cb08061...  \n",
       "...                                                 ...  \n",
       "1031  b7292f6c1fa6f8e32b9f0934ed1f2ae3564335bee8f755...  \n",
       "1032  3aaf4aa1784b63c9498315d8d3e6efb39b81bb95cd03c7...  \n",
       "1033  4756f0560c8b10673f64b914c1bdc938fd14166a0fbfd6...  \n",
       "1034  b9ea155e1f0d6e98a1cb085f4fd4b4efcd5e7df9bbdd35...  \n",
       "1035  2184156b4af099618f7ce8773c06881027e3ebf711768b...  \n",
       "\n",
       "[1036 rows x 19 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "defi_balance"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24d60e00-cf96-45b9-9d6d-1b4a872915a1",
   "metadata": {},
   "source": [
    "### Retrieve DEX Inflows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b09f4bb6-d949-4d7a-87e6-9f7fde657e58",
   "metadata": {},
   "outputs": [],
   "source": [
    "defi_inflow = defi_balance[defi_balance.change > 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e77c79b2-697f-488d-a03b-49de532dbe01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "chain_sequence_number                                             89166329973571601\n",
       "account                                    3416cf6c708da44db2624d63ea0aaef7113527c6\n",
       "account_creation_height                                                    13609065\n",
       "change                                                               2561701.979951\n",
       "previous_balance                                                     8861581.886413\n",
       "new_balance                                                         11423283.866364\n",
       "transaction_sequence_number                                                       2\n",
       "n_debits                                                                     450061\n",
       "n_credits                                                                    479906\n",
       "block_hash                        bbce1f72a7384588aaafd053e449b38c93cd07c5d8e997...\n",
       "height                                                                     20760654\n",
       "consensus_time                                            2024-09-16 03:59:35+00:00\n",
       "credit                                                                         True\n",
       "total_received                                                   52791531415.555038\n",
       "total_sent                                                       52780108131.688683\n",
       "previous_debit_height                                                      20760654\n",
       "previous_credit_height                                                     20760654\n",
       "previous_chain_sequence_number                                    89166329973571599\n",
       "txid                              efdc8d8347d53459d3a581d9700b291cb75311f63289ea...\n",
       "Name: 608, dtype: object"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "largest_inflow = defi_balance.loc[defi_balance['change'].idxmax()]\n",
    "largest_inflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "46b32114-3f98-420b-9912-e91dbb44998b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "<br><font size=\"3.5\">Transaction info can also be viewed in the **ATLAS** graphical user interface:<br><br>**Largest Transaction:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdc&tx_hash=efdc8d8347d53459d3a581d9700b291cb75311f63289ea0d1859b358d91d8b7f"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "largest_inflow.txid\n",
    "md('<br><font size=\"3.5\">Transaction info can also be viewed in the **ATLAS** graphical user interface:<br><br>**Largest Transaction:** <br>https://atlas.coinmetrics.io/transaction-details?asset=usdc&tx_hash=' + str(largest_inflow.txid) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ae5a87c0-c2f9-4c23-9c5e-6c69f81f7ff8",
   "metadata": {},
   "outputs": [],
   "source": [
    "defi_inflow = pd.DataFrame(defi_inflow[['consensus_time','account','change','height']])\n",
    "defi_inflow_sum = pd.DataFrame(defi_inflow.groupby('height')['change'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b995c08f-9c7f-4816-a040-78d867ca912b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>change</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>height</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20756748</th>\n",
       "      <td>0.496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20756791</th>\n",
       "      <td>588.944621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20756804</th>\n",
       "      <td>1801.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20756883</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20756906</th>\n",
       "      <td>28.88709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763786</th>\n",
       "      <td>90000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763794</th>\n",
       "      <td>1000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763798</th>\n",
       "      <td>33356.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763803</th>\n",
       "      <td>25530.595361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20763850</th>\n",
       "      <td>4160.547575</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>510 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                change\n",
       "height                \n",
       "20756748         0.496\n",
       "20756791    588.944621\n",
       "20756804        1801.0\n",
       "20756883          20.0\n",
       "20756906      28.88709\n",
       "...                ...\n",
       "20763786       90000.0\n",
       "20763794        1000.0\n",
       "20763798      33356.45\n",
       "20763803  25530.595361\n",
       "20763850   4160.547575\n",
       "\n",
       "[510 rows x 1 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "defi_inflow_sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4485dc97-d26d-4c67-99ab-0dac35028b74",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = defi_inflow_sum['change'].plot.area(color='navy')\n",
    "plt.title('\\n ' + asset.upper() + ' Inflows to Uniswap V3\\n',fontdict={'fontsize':23})\n",
    "ax.set_xlabel(\"\\nBlock Height\")\n",
    "ax.yaxis.set_ticks(plt.gca().get_yticks())\n",
    "plt.setp(ax.get_xticklabels(), rotation=45)\n",
    "ax.xaxis.set_ticks(plt.gca().get_xticks())\n",
    "plt.gca().set_xticklabels(['{:.0f}'.format(x) for x in plt.gca().get_xticks()])\n",
    "plt.xlim([defi_inflow_sum.index[0], defi_inflow_sum.index[-1]])\n",
    "plt.annotate(\n",
    "    'Source: Coin Metrics ATLAS',\n",
    "    xy=(1, -0.195),\n",
    "    xycoords='axes fraction',\n",
    "    color='black',\n",
    "    xytext=(-8, 6),\n",
    "    textcoords='offset pixels',\n",
    "    horizontalalignment='right',\n",
    "    verticalalignment='bottom'\n",
    ")\n",
    "plt.gca().set_yticklabels(['${:,.2f}M'.format(x/1000000) for x in plt.gca().get_yticks()]);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aee5ee52-2315-4ae7-aa89-7ed6d8e19222",
   "metadata": {},
   "source": [
    "### Retrieve DEX Supply"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "31a962a7-b904-4514-a86b-83659936ac67",
   "metadata": {},
   "outputs": [],
   "source": [
    "defi_new_bal = pd.DataFrame(defi_balance[['consensus_time','account','new_balance','height']])\n",
    "defi_new_bal = defi_new_bal.sort_values(by='height')\n",
    "defi_new_bal = pd.DataFrame(defi_new_bal.drop_duplicates(subset=['account','height'],keep='last'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "6bcb63a1-477d-4d6f-a99e-2c8d7b0bd07c",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>consensus_time</th>\n",
       "      <th>account</th>\n",
       "      <th>new_balance</th>\n",
       "      <th>height</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-09-15 14:55:23+00:00</td>\n",
       "      <td>3416cf6c708da44db2624d63ea0aaef7113527c6</td>\n",
       "      <td>8838822.082622</td>\n",
       "      <td>20756748</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2024-09-15 15:03:59+00:00</td>\n",
       "      <td>3416cf6c708da44db2624d63ea0aaef7113527c6</td>\n",
       "      <td>8839411.027243</td>\n",
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       "      <th>2</th>\n",
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       "      <td>3416cf6c708da44db2624d63ea0aaef7113527c6</td>\n",
       "      <td>8839123.708488</td>\n",
       "      <td>20756800</td>\n",
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       "      <td>3416cf6c708da44db2624d63ea0aaef7113527c6</td>\n",
       "      <td>8840924.708488</td>\n",
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       "      <td>3416cf6c708da44db2624d63ea0aaef7113527c6</td>\n",
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       "      <td>11071332.710055</td>\n",
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       "      <td>11071275.082429</td>\n",
       "      <td>20763830</td>\n",
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       "      <th>1033</th>\n",
       "      <td>2024-09-16 14:41:47+00:00</td>\n",
       "      <td>3416cf6c708da44db2624d63ea0aaef7113527c6</td>\n",
       "      <td>11042411.867221</td>\n",
       "      <td>20763838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1035</th>\n",
       "      <td>2024-09-16 14:44:11+00:00</td>\n",
       "      <td>3416cf6c708da44db2624d63ea0aaef7113527c6</td>\n",
       "      <td>11016576.852954</td>\n",
       "      <td>20763850</td>\n",
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       "<p>933 rows × 4 columns</p>\n",
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      ],
      "text/plain": [
       "                consensus_time                                   account  \\\n",
       "0    2024-09-15 14:55:23+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1    2024-09-15 15:03:59+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "2    2024-09-15 15:05:47+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "3    2024-09-15 15:06:35+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "4    2024-09-15 15:14:11+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "...                        ...                                       ...   \n",
       "1030 2024-09-16 14:39:35+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1031 2024-09-16 14:39:59+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1032 2024-09-16 14:40:11+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1033 2024-09-16 14:41:47+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "1035 2024-09-16 14:44:11+00:00  3416cf6c708da44db2624d63ea0aaef7113527c6   \n",
       "\n",
       "          new_balance    height  \n",
       "0      8838822.082622  20756748  \n",
       "1      8839411.027243  20756791  \n",
       "2      8839123.708488  20756800  \n",
       "3      8840924.708488  20756804  \n",
       "4      8840525.638067  20756842  \n",
       "...               ...       ...  \n",
       "1030  11071334.757652  20763827  \n",
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       "1032  11071275.082429  20763830  \n",
       "1033  11042411.867221  20763838  \n",
       "1035  11016576.852954  20763850  \n",
       "\n",
       "[933 rows x 4 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "defi_new_bal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "776f8920-2e47-4e42-ac43-3f094c171c9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "bal_updates_pivot = defi_new_bal.pivot(index=\"height\",columns=\"account\",values=\"new_balance\")\n",
    "bal_updates_pivot = bal_updates_pivot.ffill()\n",
    "bal_updates_pivot = bal_updates_pivot.bfill()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "ff3a78cc-3977-469d-9e4c-8bed5ee2e193",
   "metadata": {},
   "outputs": [],
   "source": [
    "bal_updates_w_zeros = bal_updates_pivot.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "6cdef44d-9974-4214-b2b1-1a6dcced1394",
   "metadata": {},
   "outputs": [],
   "source": [
    "column_list = list(bal_updates_w_zeros)\n",
    "bal_updates_w_zeros[\"sum\"] =bal_updates_w_zeros[column_list].sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "179a6f76-b436-41b4-bbf5-b94c54fd766e",
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "account   3416cf6c708da44db2624d63ea0aaef7113527c6  \\\n",
       "height                                               \n",
       "20756748                            8838822.082622   \n",
       "20756791                            8839411.027243   \n",
       "20756800                            8839123.708488   \n",
       "20756804                            8840924.708488   \n",
       "20756842                            8840525.638067   \n",
       "...                                            ...   \n",
       "20763827                           11071334.757652   \n",
       "20763829                           11071332.710055   \n",
       "20763830                           11071275.082429   \n",
       "20763838                           11042411.867221   \n",
       "20763850                           11016576.852954   \n",
       "\n",
       "account   7858e59e0c01ea06df3af3d20ac7b0003275d4bf  \\\n",
       "height                                               \n",
       "20756748                            1201350.942506   \n",
       "20756791                            1201350.942506   \n",
       "20756800                            1201350.942506   \n",
       "20756804                            1201350.942506   \n",
       "20756842                            1201350.942506   \n",
       "...                                            ...   \n",
       "20763827                            1250073.026459   \n",
       "20763829                            1250073.026459   \n",
       "20763830                            1250073.026459   \n",
       "20763838                            1250073.026459   \n",
       "20763850                            1250073.026459   \n",
       "\n",
       "account   ee4cf3b78a74affa38c6a926282bcd8b5952818d  \\\n",
       "height                                               \n",
       "20756748                               9178.353003   \n",
       "20756791                               9178.353003   \n",
       "20756800                               9178.353003   \n",
       "20756804                               9178.353003   \n",
       "20756842                               9178.353003   \n",
       "...                                            ...   \n",
       "20763827                               9178.353003   \n",
       "20763829                               9178.353003   \n",
       "20763830                               9178.353003   \n",
       "20763838                               9178.353003   \n",
       "20763850                               9178.353003   \n",
       "\n",
       "account   sum                                       \n",
       "height                                              \n",
       "20756748                              1.004935e+07  \n",
       "20756791                              1.004994e+07  \n",
       "20756800                              1.004965e+07  \n",
       "20756804                              1.005145e+07  \n",
       "20756842                              1.005105e+07  \n",
       "...                                            ...  \n",
       "20763827                              1.233059e+07  \n",
       "20763829                              1.233058e+07  \n",
       "20763830                              1.233053e+07  \n",
       "20763838                              1.230166e+07  \n",
       "20763850                              1.227583e+07  \n",
       "\n",
       "[926 rows x 4 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bal_updates_w_zeros"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "5a9cd164-c133-47ad-bda2-86d12c209dbf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = bal_updates_w_zeros['sum'].plot.area(color='navy')\n",
    "plt.title('\\n ' + asset.upper() + ' Supply on Uniswap V3\\n',fontdict={'fontsize':23})\n",
    "plt.suptitle('\\n\\n\\nTracked Liquidity Pools\\n',size=13.5)\n",
    "ax.set_xlabel(\"\\nBlock Height\")\n",
    "ax.yaxis.set_ticks(plt.gca().get_yticks())\n",
    "plt.setp(ax.get_xticklabels(), rotation=45)\n",
    "ax.xaxis.set_ticks(plt.gca().get_xticks())\n",
    "plt.gca().set_xticklabels(['{:.0f}'.format(x) for x in plt.gca().get_xticks()])\n",
    "plt.xlim([bal_updates_w_zeros.index[0], bal_updates_w_zeros.index[-1]])\n",
    "plt.annotate('Source: Coin Metrics ATLAS',xy=(1, -0.195), xycoords='axes fraction',color='black',xytext=(-8, 6), textcoords='offset pixels',horizontalalignment='right',verticalalignment='bottom')\n",
    "plt.gca().set_yticklabels(['${:,.2f}M'.format(x/1000000) for x in plt.gca().get_yticks()]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "551bb2d0-9b35-49e8-bbf2-939cbb3db71e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "380b5291-82b7-4bc9-9f66-b73c8473d45f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e6d4cb0c-1cb2-4965-8432-ca5caf48db24",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d162d91-ad5a-482f-a457-6f20d08cee98",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}