curve_convex_thegraph.ipynb

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   "cell_type": "markdown",
   "id": "712ed135",
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   "source": [
    "### Intro to the first part of the assignment:\n",
    "\n",
    "The task: \"Create 6 charts that provide useful information for any of the following protocols: Avalanche, Terra, Solana, Ethereum, Thorchain, Cosmos, Polkadot, Near, Compound, Curve, MakerDAO, Lido, Frax, Anchor, Aave, dYdX, Convex, Osmosis, Uniswap, Yearn, or Tokemak. We would like to get a better understanding of which metrics you view as important and your skill set as it relates to Python, SQL, Tableau, PowerBI, etc.\"\n",
    "\n",
    "In terms of choosing the protocol, I have broken down the suggested protocols into the following categories:\n",
    "\n",
    "- **L1**: Ethereum, Terra, Avalanche, Solana, Polkadot, Near, Thorchain, Osmosis\n",
    "- **DEX**: Uniswap, dYdX\n",
    "- **Lending**: Compound, Aave, MakerDAO \n",
    "- **SDK**: Cosmos \n",
    "- **Solutions**: Frax (fractional-algorithmic stablecoin issuer), Curve (stablecoin AMM / exchange), Convex (yield / liquidity), Tokemak (liquidity aggregator for DEXs). Lido (liquid staking), Anchor (savings), Yearn (yield-optimization).\n",
    "\n",
    "My interest lie in the solutions category, especially the interchain ones. 3-4 of the protocols in that category are the main players in the Liquidity Wars where the early monopolist 3pool was challenged by the opportunistic 4pool in competition for the de-facto stablecoin pool on Curve, the decentralized exchange specializing in assets with the same relative value. Able to offer the lowest trading fees on the market, it achieved high trading volumes. This in turn enabled efficient markets with deep liquidity and high levels of market participation. Curve, Yearn Finance, FRAX, Olympus DAO, Dopex, Tokemak, and [Redacted] Cartel are all competing over the liquidity gauge mechanism that defines how many CRV rewards an LP can earn when providing liquidity to a Curve pool. Voting power (i.e. holding a lot of veCRV tokens) translates into pools earning capped CRV rewards. Below are some metrics that might illustrate this mechanism.\n",
    "\n",
    "\n",
    "### Liquidity incentives of $CRV emissions\n",
    "\n",
    "\n",
    "Intro / background:\n",
    "\n",
    "- How deep is user-provided **liquidity** in stablecoin pools on Curve? How big is its market share? (~$20b TVL)\n",
    "\n",
    "- What are the largest pools on Curve?\n",
    "\n",
    "- How did Curve capture value and drive it back to the protocol and token holders?\n",
    "\n",
    "- How does Curve monopolize the need for liquidity / attract TVL and preserve their attractive APRs? (ie incentive to stake and lock their coins by giving them more CRV)\n",
    "\n",
    "Incentives:\n",
    "\n",
    "- How much **profit** users received as a yield in tokens.\n",
    "\n",
    "- What entity dominates gauge weights on Curve pools / has the most veCRV / CRV? is there a shortage of CRV?\n",
    "\n",
    "- How much do projects with liquidity pools spend every month to pay off Curve users to vote to channel more rewards known as “emissions” to their liquidity pools? (tens of millions of dollars, FRAX and UST are the top “bribers\")\n",
    "\n",
    "The Gauge:\n",
    "\n",
    "- Where the emissions have been directed? \n",
    "\n",
    "Global / future:\n",
    "\n",
    "- How did Curve transcend the status of an application and become a protocol of its own, a [baselate](https://mirror.xyz/samidefi.eth/UQ8_M77g4qx1CT0QH00GUTWViW41aSxX0V7MwetNb8I) that other protocols build upon and compete over?\n",
    "\n",
    "- How does Curve determine the fate of stablecoins (due to its prominence in the ecosystem).\n",
    "\n",
    "- Will the Curve ecosystem remain important?\n",
    "\n",
    "Conclusion: \n",
    "\n",
    "Curve became the ground for other protocols like Convex to build off of, enabling them to accumulate value in a sustainable way while still bringing it back to Curve. Convex is the subject of the Part 2 of the assignment. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0627f51f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.options.display.float_format = '{:,.0f}'.format\n",
    "pd.set_option('display.max_colwidth', None)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a77e5ce3",
   "metadata": {},
   "source": [
    "### I. What are the biggest pools on Curve by volume?\n",
    "\n",
    "Getting volume data for all curve pools from convex-community/volume-mainnet subgraph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bc0f5812",
   "metadata": {},
   "outputs": [],
   "source": [
    "from subgrounds.subgrounds import Subgrounds\n",
    "sg = Subgrounds()\n",
    "volume_sg = sg.load_subgraph('https://api.thegraph.com/subgraphs/name/convex-community/volume-mainnet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "24d69d47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6, 13)\n"
     ]
    },
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pools_symbol</th>\n",
       "      <th>pools_name</th>\n",
       "      <th>pools_cumulativeVolumeUSD</th>\n",
       "      <th>pools_creationDate</th>\n",
       "      <th>pools_metapool</th>\n",
       "      <th>pools_assetType</th>\n",
       "      <th>pools_poolType</th>\n",
       "      <th>pools_baseApr</th>\n",
       "      <th>pools_id</th>\n",
       "      <th>pools_basePool</th>\n",
       "      <th>pools_address</th>\n",
       "      <th>pools_lpToken</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3Crv</td>\n",
       "      <td>Curve.fi DAI/USDC/USDT</td>\n",
       "      <td>38,460,060,254</td>\n",
       "      <td>2020-11-08</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>REGISTRY_V1</td>\n",
       "      <td>0</td>\n",
       "      <td>0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7</td>\n",
       "      <td>0x0000000000000000000000000000000000000000</td>\n",
       "      <td>0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7</td>\n",
       "      <td>0x6c3f90f043a72fa612cbac8115ee7e52bde6e490</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>crv3crypto</td>\n",
       "      <td>Curve.fi USD-BTC-ETH</td>\n",
       "      <td>22,290,631,293</td>\n",
       "      <td>2021-07-17</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>REGISTRY_V1</td>\n",
       "      <td>0</td>\n",
       "      <td>0xd51a44d3fae010294c616388b506acda1bfaae46</td>\n",
       "      <td>0x0000000000000000000000000000000000000000</td>\n",
       "      <td>0xd51a44d3fae010294c616388b506acda1bfaae46</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MIM-3LP3CRV-f</td>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>15,588,194,938</td>\n",
       "      <td>2021-06-02</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>METAPOOL_FACTORY</td>\n",
       "      <td>0</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>crvPlain3andSUSD</td>\n",
       "      <td>Curve.fi DAI/USDC/USDT/sUSD</td>\n",
       "      <td>10,067,630,694</td>\n",
       "      <td>2021-04-08</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>LENDING</td>\n",
       "      <td>0</td>\n",
       "      <td>0xa5407eae9ba41422680e2e00537571bcc53efbfd</td>\n",
       "      <td>0xa5407eae9ba41422680e2e00537571bcc53efbfd</td>\n",
       "      <td>0xa5407eae9ba41422680e2e00537571bcc53efbfd</td>\n",
       "      <td>0xc25a3a3b969415c80451098fa907ec722572917f</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MIM-UST-f</td>\n",
       "      <td>Curve.fi Factory Plain Pool: MIM-UST</td>\n",
       "      <td>9,904,507,894</td>\n",
       "      <td>2021-10-02</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>STABLE_FACTORY</td>\n",
       "      <td>0</td>\n",
       "      <td>0x55a8a39bc9694714e2874c1ce77aa1e599461e18</td>\n",
       "      <td>0x0000000000000000000000000000000000000000</td>\n",
       "      <td>0x55a8a39bc9694714e2874c1ce77aa1e599461e18</td>\n",
       "      <td>0x55a8a39bc9694714e2874c1ce77aa1e599461e18</td>\n",
       "      <td>7</td>\n",
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      "text/plain": [
       "       pools_symbol  \\\n",
       "0              3Crv   \n",
       "1        crv3crypto   \n",
       "2     MIM-3LP3CRV-f   \n",
       "3  crvPlain3andSUSD   \n",
       "4         MIM-UST-f   \n",
       "\n",
       "                                                  pools_name  \\\n",
       "0                                     Curve.fi DAI/USDC/USDT   \n",
       "1                                       Curve.fi USD-BTC-ETH   \n",
       "2  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   \n",
       "3                                Curve.fi DAI/USDC/USDT/sUSD   \n",
       "4                       Curve.fi Factory Plain Pool: MIM-UST   \n",
       "\n",
       "   pools_cumulativeVolumeUSD pools_creationDate  pools_metapool  \\\n",
       "0             38,460,060,254         2020-11-08           False   \n",
       "1             22,290,631,293         2021-07-17           False   \n",
       "2             15,588,194,938         2021-06-02            True   \n",
       "3             10,067,630,694         2021-04-08           False   \n",
       "4              9,904,507,894         2021-10-02           False   \n",
       "\n",
       "   pools_assetType    pools_poolType  pools_baseApr  \\\n",
       "0                0       REGISTRY_V1              0   \n",
       "1                4       REGISTRY_V1              0   \n",
       "2                0  METAPOOL_FACTORY              0   \n",
       "3                0           LENDING              0   \n",
       "4                0    STABLE_FACTORY              0   \n",
       "\n",
       "                                     pools_id  \\\n",
       "0  0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7   \n",
       "1  0xd51a44d3fae010294c616388b506acda1bfaae46   \n",
       "2  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "3  0xa5407eae9ba41422680e2e00537571bcc53efbfd   \n",
       "4  0x55a8a39bc9694714e2874c1ce77aa1e599461e18   \n",
       "\n",
       "                               pools_basePool  \\\n",
       "0  0x0000000000000000000000000000000000000000   \n",
       "1  0x0000000000000000000000000000000000000000   \n",
       "2  0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7   \n",
       "3  0xa5407eae9ba41422680e2e00537571bcc53efbfd   \n",
       "4  0x0000000000000000000000000000000000000000   \n",
       "\n",
       "                                pools_address  \\\n",
       "0  0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7   \n",
       "1  0xd51a44d3fae010294c616388b506acda1bfaae46   \n",
       "2  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "3  0xa5407eae9ba41422680e2e00537571bcc53efbfd   \n",
       "4  0x55a8a39bc9694714e2874c1ce77aa1e599461e18   \n",
       "\n",
       "                                pools_lpToken  age  \n",
       "0  0x6c3f90f043a72fa612cbac8115ee7e52bde6e490   17  \n",
       "1  0xc4ad29ba4b3c580e6d59105fff484999997675ff    9  \n",
       "2  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   11  \n",
       "3  0xc25a3a3b969415c80451098fa907ec722572917f   12  \n",
       "4  0x55a8a39bc9694714e2874c1ce77aa1e599461e18    7  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. Get top pools by cumulative volume in USD\n",
    "top_pools_cum_volume_q = volume_sg.Query.pools(\n",
    "    orderBy=volume_sg.Pool.cumulativeVolumeUSD,\n",
    "    orderDirection='desc',\n",
    "    first=6, \n",
    "    #removing Strudel BTC Metapool because it seems liquidity has been removed from it\n",
    "    #removing Strudel Curve BTC Plus because it there is only one daily volume data point on it (as opposed to hundreds for others)\n",
    "    where={'symbol_not_in': [\"vCRV/sbtcCRV-f\", \"CurveBTC+/sbtcCRV-f\"]}\n",
    ")\n",
    "\n",
    "top_pools_cum_volume_df=sg.query_df([\n",
    "      top_pools_cum_volume_q.symbol\n",
    "    , top_pools_cum_volume_q.name\n",
    "    , top_pools_cum_volume_q.cumulativeVolumeUSD\n",
    "    , top_pools_cum_volume_q.creationDate\n",
    "    , top_pools_cum_volume_q.metapool\n",
    "    , top_pools_cum_volume_q.assetType\n",
    "    , top_pools_cum_volume_q.poolType\n",
    "    , top_pools_cum_volume_q.baseApr\n",
    "    , top_pools_cum_volume_q.id\n",
    "    , top_pools_cum_volume_q.basePool\n",
    "    , top_pools_cum_volume_q.address\n",
    "    , top_pools_cum_volume_q.lpToken\n",
    "])\n",
    "\n",
    "#convert to datetime \n",
    "top_pools_cum_volume_df['pools_creationDate'] = pd.to_datetime(top_pools_cum_volume_df['pools_creationDate'], unit='s').dt.floor('D')\n",
    "\n",
    "#get age in months\n",
    "from datetime import datetime\n",
    "top_pools_cum_volume_df['age'] = (datetime.today() - top_pools_cum_volume_df['pools_creationDate']).astype('timedelta64[M]')\n",
    "\n",
    "print(top_pools_cum_volume_df.shape)\n",
    "top_pools_cum_volume_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5430c264",
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "ax2 = ax1.twinx()\n",
    "ax1.bar(top_pools_cum_volume_df['pools_symbol'], top_pools_cum_volume_df['pools_cumulativeVolumeUSD'])\n",
    "ax2.scatter(top_pools_cum_volume_df['pools_symbol'], top_pools_cum_volume_df['age'],\n",
    "            color='red')\n",
    "\n",
    "ax1.set_ylabel('cumulative volume')\n",
    "ax2.set_ylabel('age in months', color='r')\n",
    "ax1.tick_params(labelrotation=50)\n",
    "\n",
    "def billions(x, pos):\n",
    "    \"\"\"The two args are the value and tick position.\"\"\"\n",
    "    return '${:1.0f}B'.format(x*1e-9)\n",
    "\n",
    "ax1.yaxis.set_major_formatter(billions)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2dec47e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2. Take top pools by cumulative volume and get their daily volume snapshots\n",
    "top_pools_daily_volume_q = top_pools_cum_volume_q.dailySwapVolumeSnapshots(\n",
    "    orderBy=volume_sg.DailySwapVolumeSnapshot.timestamp,\n",
    "    orderDirection='desc',\n",
    "    first=1000\n",
    ")\n",
    "\n",
    "top_pools_daily_volume_df=sg.query_df([\n",
    "    top_pools_daily_volume_q.pool.symbol\n",
    "    , top_pools_daily_volume_q.volumeUSD\n",
    "    , top_pools_daily_volume_q.timestamp\n",
    "\n",
    "    , top_pools_daily_volume_q.pool.name\n",
    "    , top_pools_daily_volume_q.pool.id\n",
    "    , top_pools_daily_volume_q.pool.address\n",
    "    , top_pools_daily_volume_q.pool.cumulativeVolumeUSD\n",
    "    , top_pools_daily_volume_q.pool.virtualPrice\n",
    "    \n",
    "    , top_pools_daily_volume_q.pool.poolType\n",
    "    , top_pools_daily_volume_q.pool.metapool\n",
    "    , top_pools_daily_volume_q.pool.assetType\n",
    "    , top_pools_daily_volume_q.pool.basePool #addresses\n",
    "    , top_pools_daily_volume_q.pool.lpToken #addresses - sometimes same as id & address, sometimes not\n",
    "    , top_pools_daily_volume_q.pool.baseApr\n",
    "\n",
    "    , top_pools_daily_volume_q.amountSold\n",
    "    , top_pools_daily_volume_q.amountBought\n",
    "    , top_pools_daily_volume_q.amountSoldUSD\n",
    "    , top_pools_daily_volume_q.amountBoughtUSD\n",
    "    , top_pools_daily_volume_q.count])\n",
    "\n",
    "top_pools_daily_volume_df['pools_dailySwapVolumeSnapshots_timestamp'] = pd.to_datetime(top_pools_daily_volume_df['pools_dailySwapVolumeSnapshots_timestamp'], unit='s').dt.floor('D')\n",
    "# top_pools_daily_volume_df.sort_values('pools_dailySwapVolumeSnapshots_volumeUSD', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ebe57d95",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/seaborn/rcmod.py:4: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives\n",
      "  from distutils.version import LooseVersion\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.ticker as ticker\n",
    "\n",
    "plt.figure(figsize=(16,10))\n",
    "ax = sns.lineplot(x='pools_dailySwapVolumeSnapshots_timestamp', \n",
    "                  y='pools_dailySwapVolumeSnapshots_volumeUSD', \n",
    "                  data=top_pools_daily_volume_df, \n",
    "                  hue='pools_dailySwapVolumeSnapshots_pool_symbol')\n",
    "\n",
    "def format_number(data_value, indx):\n",
    "    if data_value >= 1_000_000_000:\n",
    "        formatter = '${:1.1f}B'.format(data_value*1e-9)\n",
    "    elif data_value >= 1_000_000:\n",
    "        formatter = '${:1.0f}M'.format(data_value*1e-6)\n",
    "    else:\n",
    "        formatter = '${:1.0f}K'.format(data_value*1e-3)\n",
    "    return formatter\n",
    "    \n",
    "plt.legend(fontsize=16, frameon=False, loc='upper left') \n",
    "ax.yaxis.set_major_formatter(format_number)\n",
    "plt.ylabel(\"\", fontsize=12)\n",
    "plt.xlabel(\"\", fontsize=12)\n",
    "plt.title(\"Daily Trading Volume of Top 5 Pools by Cumulative Volume \" , fontsize=18)\n",
    "plt.xticks(fontsize=16)\n",
    "plt.yticks(fontsize=16);\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "feae9ea5",
   "metadata": {},
   "source": [
    "**Collapse top_pools_daily_volume_df to 1 row per pool, taking most recent snapshot, and sort by daily volume snapshot**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "968216cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "top_pools_vol_collapsed=top_pools_daily_volume_df.loc[top_pools_daily_volume_df.reset_index().groupby(['pools_dailySwapVolumeSnapshots_pool_symbol'])['pools_dailySwapVolumeSnapshots_timestamp'].idxmax()].sort_values('pools_dailySwapVolumeSnapshots_volumeUSD', ascending=False)\n",
    "# print(top_pools_vol_collapsed.shape)\n",
    "# top_pools_vol_collapsed.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e52ccd2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#rename for quicker referencing\n",
    "top_pools_vol_collapsed.rename({'pools_dailySwapVolumeSnapshots_pool_symbol':'symbol',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_name': 'name', \n",
    "       'pools_dailySwapVolumeSnapshots_pool_id':'id',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_address':'address',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_cumulativeVolumeUSD':'cumulativeVolumeUSD',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_virtualPrice':'virtualPrice',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_poolType':'poolType',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_metapool':'metapool',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_assetType':'assetType',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_basePool':'basePool',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_lpToken':'lpToken',\n",
    "       'pools_dailySwapVolumeSnapshots_pool_baseApr':'baseApr',\n",
    "       'pools_dailySwapVolumeSnapshots_volumeUSD':'volumeUSD',\n",
    "       'pools_dailySwapVolumeSnapshots_timestamp':'timestamp',\n",
    "       'pools_dailySwapVolumeSnapshots_amountSold':'amountSold',\n",
    "       'pools_dailySwapVolumeSnapshots_amountBought':'amountBought',\n",
    "       'pools_dailySwapVolumeSnapshots_amountSoldUSD':'amountSoldUSD',\n",
    "       'pools_dailySwapVolumeSnapshots_amountBoughtUSD':'amountBoughtUSD',\n",
    "       'pools_dailySwapVolumeSnapshots_count':'count'},axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5cfaad48",
   "metadata": {},
   "outputs": [],
   "source": [
    "# reorder and keep interesting cols\n",
    "top_pools_vol_collapsed = top_pools_vol_collapsed[['symbol','name', 'poolType', 'metapool', 'assetType',\n",
    "                                                    'cumulativeVolumeUSD','volumeUSD',\n",
    "                                                   'amountSoldUSD','amountBoughtUSD',\n",
    "                                                   'address', 'id','basePool','lpToken']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "efe89f4b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6, 13)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>symbol</th>\n",
       "      <th>name</th>\n",
       "      <th>poolType</th>\n",
       "      <th>metapool</th>\n",
       "      <th>assetType</th>\n",
       "      <th>cumulativeVolumeUSD</th>\n",
       "      <th>volumeUSD</th>\n",
       "      <th>amountSoldUSD</th>\n",
       "      <th>amountBoughtUSD</th>\n",
       "      <th>address</th>\n",
       "      <th>id</th>\n",
       "      <th>basePool</th>\n",
       "      <th>lpToken</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>crv3crypto</td>\n",
       "      <td>Curve.fi USD-BTC-ETH</td>\n",
       "      <td>REGISTRY_V1</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>22,290,631,293</td>\n",
       "      <td>19,277,472</td>\n",
       "      <td>19,327,392</td>\n",
       "      <td>19,227,551</td>\n",
       "      <td>0xd51a44d3fae010294c616388b506acda1bfaae46</td>\n",
       "      <td>0xd51a44d3fae010294c616388b506acda1bfaae46</td>\n",
       "      <td>0x0000000000000000000000000000000000000000</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1173</th>\n",
       "      <td>crvPlain3andSUSD</td>\n",
       "      <td>Curve.fi DAI/USDC/USDT/sUSD</td>\n",
       "      <td>LENDING</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>10,067,630,694</td>\n",
       "      <td>5,765,418</td>\n",
       "      <td>5,762,137</td>\n",
       "      <td>5,768,698</td>\n",
       "      <td>0xa5407eae9ba41422680e2e00537571bcc53efbfd</td>\n",
       "      <td>0xa5407eae9ba41422680e2e00537571bcc53efbfd</td>\n",
       "      <td>0xa5407eae9ba41422680e2e00537571bcc53efbfd</td>\n",
       "      <td>0xc25a3a3b969415c80451098fa907ec722572917f</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3Crv</td>\n",
       "      <td>Curve.fi DAI/USDC/USDT</td>\n",
       "      <td>REGISTRY_V1</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>38,460,060,254</td>\n",
       "      <td>5,107,936</td>\n",
       "      <td>5,108,631</td>\n",
       "      <td>5,107,241</td>\n",
       "      <td>0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7</td>\n",
       "      <td>0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7</td>\n",
       "      <td>0x0000000000000000000000000000000000000000</td>\n",
       "      <td>0x6c3f90f043a72fa612cbac8115ee7e52bde6e490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1763</th>\n",
       "      <td>ust3CRV</td>\n",
       "      <td>Curve.fi UST/3Crv</td>\n",
       "      <td>STABLE_FACTORY</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>7,709,245,100</td>\n",
       "      <td>3,731,936</td>\n",
       "      <td>3,733,093</td>\n",
       "      <td>3,730,778</td>\n",
       "      <td>0x890f4e345b1daed0367a877a1612f86a1f86985f</td>\n",
       "      <td>0x890f4e345b1daed0367a877a1612f86a1f86985f</td>\n",
       "      <td>0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7</td>\n",
       "      <td>0x94e131324b6054c0d789b190b2dac504e4361b53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>MIM-3LP3CRV-f</td>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>METAPOOL_FACTORY</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>15,588,194,938</td>\n",
       "      <td>3,479,709</td>\n",
       "      <td>3,474,814</td>\n",
       "      <td>3,484,605</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                symbol  \\\n",
       "544         crv3crypto   \n",
       "1173  crvPlain3andSUSD   \n",
       "0                 3Crv   \n",
       "1763           ust3CRV   \n",
       "837      MIM-3LP3CRV-f   \n",
       "\n",
       "                                                           name  \\\n",
       "544                                        Curve.fi USD-BTC-ETH   \n",
       "1173                                Curve.fi DAI/USDC/USDT/sUSD   \n",
       "0                                        Curve.fi DAI/USDC/USDT   \n",
       "1763                                          Curve.fi UST/3Crv   \n",
       "837   Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   \n",
       "\n",
       "              poolType  metapool  assetType  cumulativeVolumeUSD  volumeUSD  \\\n",
       "544        REGISTRY_V1     False          4       22,290,631,293 19,277,472   \n",
       "1173           LENDING     False          0       10,067,630,694  5,765,418   \n",
       "0          REGISTRY_V1     False          0       38,460,060,254  5,107,936   \n",
       "1763    STABLE_FACTORY      True          3        7,709,245,100  3,731,936   \n",
       "837   METAPOOL_FACTORY      True          0       15,588,194,938  3,479,709   \n",
       "\n",
       "      amountSoldUSD  amountBoughtUSD  \\\n",
       "544      19,327,392       19,227,551   \n",
       "1173      5,762,137        5,768,698   \n",
       "0         5,108,631        5,107,241   \n",
       "1763      3,733,093        3,730,778   \n",
       "837       3,474,814        3,484,605   \n",
       "\n",
       "                                         address  \\\n",
       "544   0xd51a44d3fae010294c616388b506acda1bfaae46   \n",
       "1173  0xa5407eae9ba41422680e2e00537571bcc53efbfd   \n",
       "0     0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7   \n",
       "1763  0x890f4e345b1daed0367a877a1612f86a1f86985f   \n",
       "837   0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "\n",
       "                                              id  \\\n",
       "544   0xd51a44d3fae010294c616388b506acda1bfaae46   \n",
       "1173  0xa5407eae9ba41422680e2e00537571bcc53efbfd   \n",
       "0     0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7   \n",
       "1763  0x890f4e345b1daed0367a877a1612f86a1f86985f   \n",
       "837   0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "\n",
       "                                        basePool  \\\n",
       "544   0x0000000000000000000000000000000000000000   \n",
       "1173  0xa5407eae9ba41422680e2e00537571bcc53efbfd   \n",
       "0     0x0000000000000000000000000000000000000000   \n",
       "1763  0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7   \n",
       "837   0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7   \n",
       "\n",
       "                                         lpToken  \n",
       "544   0xc4ad29ba4b3c580e6d59105fff484999997675ff  \n",
       "1173  0xc25a3a3b969415c80451098fa907ec722572917f  \n",
       "0     0x6c3f90f043a72fa612cbac8115ee7e52bde6e490  \n",
       "1763  0x94e131324b6054c0d789b190b2dac504e4361b53  \n",
       "837   0x5a6a4d54456819380173272a5e8e9b9904bdf41b  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(top_pools_vol_collapsed.shape)\n",
    "top_pools_vol_collapsed.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "429e6cbd",
   "metadata": {},
   "source": [
    "Daily volume values corresponds to their values on https://curve.fi/pools."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b93f8e37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "38589638.45548223"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# see total daily volume for the top 5 pools \n",
    "sum(top_pools_vol_collapsed['volumeUSD'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26facbe8",
   "metadata": {},
   "source": [
    "**Getting pools' coins' reserves data**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ec87c704",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        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>symbol</th>\n",
       "      <th>address</th>\n",
       "      <th>coins</th>\n",
       "      <th>reservesUsd</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MIM-3LP3CRV-f</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>0x99d8a9c45b2eca8864373a26d1459e3dff1e17f3</td>\n",
       "      <td>768,938,784</td>\n",
       "      <td>2022-05-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>MIM-3LP3CRV-f</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>0x6c3f90f043a72fa612cbac8115ee7e52bde6e490</td>\n",
       "      <td>98,728,247</td>\n",
       "      <td>2022-05-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>MIM-UST-f</td>\n",
       "      <td>0x55a8a39bc9694714e2874c1ce77aa1e599461e18</td>\n",
       "      <td>0x99d8a9c45b2eca8864373a26d1459e3dff1e17f3</td>\n",
       "      <td>62,659,434</td>\n",
       "      <td>2022-05-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>MIM-UST-f</td>\n",
       "      <td>0x55a8a39bc9694714e2874c1ce77aa1e599461e18</td>\n",
       "      <td>0xa47c8bf37f92abed4a126bda807a7b7498661acd</td>\n",
       "      <td>13,651,587</td>\n",
       "      <td>2022-05-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           symbol                                     address  \\\n",
       "12  MIM-3LP3CRV-f  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "12  MIM-3LP3CRV-f  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "13      MIM-UST-f  0x55a8a39bc9694714e2874c1ce77aa1e599461e18   \n",
       "13      MIM-UST-f  0x55a8a39bc9694714e2874c1ce77aa1e599461e18   \n",
       "\n",
       "                                         coins  reservesUsd  timestamp  \n",
       "12  0x99d8a9c45b2eca8864373a26d1459e3dff1e17f3  768,938,784 2022-05-05  \n",
       "12  0x6c3f90f043a72fa612cbac8115ee7e52bde6e490   98,728,247 2022-05-05  \n",
       "13  0x99d8a9c45b2eca8864373a26d1459e3dff1e17f3   62,659,434 2022-05-05  \n",
       "13  0xa47c8bf37f92abed4a126bda807a7b7498661acd   13,651,587 2022-05-05  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import requests\n",
    "def grt_query(query):\n",
    "    r = requests.post(GRT_QUERY_ENDPOINT, json={'query': query})\n",
    "    return r.json()\n",
    "GRT_QUERY_ENDPOINT = \"https://api.thegraph.com/subgraphs/name/convex-community/volume-mainnet\"\n",
    "\n",
    "query=\"\"\"{\n",
    "  dailyPoolSnapshots(\n",
    "    first:1000\n",
    "    where:{reservesUsd_not:[\"0\",\"0\"], timestamp_gt:1650398994})\n",
    "  {\n",
    "    id\n",
    "    pool {\n",
    "      symbol\n",
    "      address\n",
    "      coins}\n",
    "    reservesUsd\n",
    "    timestamp\n",
    "  }}\"\"\"\n",
    "\n",
    "data = grt_query(query)\n",
    "\n",
    "reserves_folded = pd.DataFrame.from_dict(data['data']['dailyPoolSnapshots'])\n",
    "reserves_folded['timestamp'] = pd.to_datetime(reserves_folded['timestamp'],unit='s')\n",
    "\n",
    "coins = pd.DataFrame.from_records(reserves_folded.pool.dropna().tolist())\n",
    "\n",
    "reserves_folded_2=pd.concat([coins, reserves_folded[['reservesUsd', 'timestamp']]], axis=1)\n",
    "\n",
    "reserves_per_pools = reserves_folded_2.groupby('symbol').last().reset_index()\n",
    "\n",
    "top_pools_symbol_list=top_pools_vol_collapsed['symbol'].tolist()\n",
    "\n",
    "reserves_folded_top_pools_only = reserves_per_pools[reserves_per_pools['symbol'].isin(top_pools_symbol_list)]\n",
    "\n",
    "reserves=reserves_folded_top_pools_only.explode(['coins', 'reservesUsd'])\n",
    "\n",
    "reserves['reservesUsd'] = pd.to_numeric(reserves['reservesUsd'])\n",
    "\n",
    "print(reserves.shape)\n",
    "reserves.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32a9bed0",
   "metadata": {},
   "source": [
    "### II Looking at pools' rewards and convex's revenue\n",
    "\n",
    "According to the subgraph creator, [convex-community](https://github.com/convex-community/convex-subgraph), the convex-community/curve-pools subgraph indexes events around the Booster contract (main deposit contract for LP tokens). It allows, for instance, to query a pool's historical TVL and APR, platform revenue breakdown & users' withdrawals and deposits. We will use it to look at CRV rewards liquidity pools are getting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5c69ee27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6, 2)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "        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>pools_name</th>\n",
       "      <th>pools_tvl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>frax</td>\n",
       "      <td>2,745,123,092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>steth</td>\n",
       "      <td>2,643,743,386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool</td>\n",
       "      <td>1,196,418,372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>876,645,399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tricrypto2</td>\n",
       "      <td>867,290,913</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  pools_name     pools_tvl\n",
       "0                                                       frax 2,745,123,092\n",
       "1                                                      steth 2,643,743,386\n",
       "2       Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool 1,196,418,372\n",
       "3  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   876,645,399\n",
       "4                                                 tricrypto2   867,290,913"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 0. Set the subgraph\n",
    "curve_pools_sg = sg.load_subgraph('https://api.thegraph.com/subgraphs/name/convex-community/curve-pools')\n",
    "\n",
    "# 1. Get top pools by TVL\n",
    "top_pools_tvl_q = curve_pools_sg.Query.pools(\n",
    "    orderBy=curve_pools_sg.Pool.tvl,\n",
    "    orderDirection='desc',\n",
    "    first=6)\n",
    "\n",
    "top_pools_tvl_df=sg.query_df([\n",
    "      top_pools_tvl_q.name\n",
    "    , top_pools_tvl_q.tvl])\n",
    "\n",
    "print(top_pools_tvl_df.shape)\n",
    "top_pools_tvl_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5c57decc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2952, 6)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pools_crvRewards_poolid_name</th>\n",
       "      <th>pools_crvRewards_poolid_tvl</th>\n",
       "      <th>pools_crvRewards_crvRewards</th>\n",
       "      <th>pools_crvRewards_timestamp</th>\n",
       "      <th>pools_crvRewards_poolid_lpToken</th>\n",
       "      <th>pools_crvRewards_contract</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>frax</td>\n",
       "      <td>2,745,123,092</td>\n",
       "      <td>2,805</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "      <td>0xb900ef131301b307db5efcbed9dbb50a3e209b2e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>frax</td>\n",
       "      <td>2,745,123,092</td>\n",
       "      <td>2,701</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "      <td>0xb900ef131301b307db5efcbed9dbb50a3e209b2e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>frax</td>\n",
       "      <td>2,745,123,092</td>\n",
       "      <td>3,271</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "      <td>0xb900ef131301b307db5efcbed9dbb50a3e209b2e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>frax</td>\n",
       "      <td>2,745,123,092</td>\n",
       "      <td>965</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "      <td>0xb900ef131301b307db5efcbed9dbb50a3e209b2e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>frax</td>\n",
       "      <td>2,745,123,092</td>\n",
       "      <td>967</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "      <td>0xb900ef131301b307db5efcbed9dbb50a3e209b2e</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  pools_crvRewards_poolid_name  pools_crvRewards_poolid_tvl  \\\n",
       "0                         frax                2,745,123,092   \n",
       "1                         frax                2,745,123,092   \n",
       "2                         frax                2,745,123,092   \n",
       "3                         frax                2,745,123,092   \n",
       "4                         frax                2,745,123,092   \n",
       "\n",
       "  pools_crvRewards_crvRewards pools_crvRewards_timestamp  \\\n",
       "0                       2,805                 2022-05-05   \n",
       "1                       2,701                 2022-05-05   \n",
       "2                       3,271                 2022-05-05   \n",
       "3                         965                 2022-05-05   \n",
       "4                         967                 2022-05-05   \n",
       "\n",
       "              pools_crvRewards_poolid_lpToken  \\\n",
       "0  0xd632f22692fac7611d2aa1c0d552930d43caed3b   \n",
       "1  0xd632f22692fac7611d2aa1c0d552930d43caed3b   \n",
       "2  0xd632f22692fac7611d2aa1c0d552930d43caed3b   \n",
       "3  0xd632f22692fac7611d2aa1c0d552930d43caed3b   \n",
       "4  0xd632f22692fac7611d2aa1c0d552930d43caed3b   \n",
       "\n",
       "                    pools_crvRewards_contract  \n",
       "0  0xb900ef131301b307db5efcbed9dbb50a3e209b2e  \n",
       "1  0xb900ef131301b307db5efcbed9dbb50a3e209b2e  \n",
       "2  0xb900ef131301b307db5efcbed9dbb50a3e209b2e  \n",
       "3  0xb900ef131301b307db5efcbed9dbb50a3e209b2e  \n",
       "4  0xb900ef131301b307db5efcbed9dbb50a3e209b2e  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2. Get top pools' rewards\n",
    "pool_rewards_q = top_pools_tvl_q.crvRewards(\n",
    "    orderBy=curve_pools_sg.PoolReward.timestamp,\n",
    "    orderDirection='desc', first=1000)\n",
    "\n",
    "pool_rewards_df=sg.query_df([\n",
    "      pool_rewards_q.poolid.name\n",
    "    , pool_rewards_q.poolid.tvl\n",
    "    , pool_rewards_q.crvRewards\n",
    "    , pool_rewards_q.timestamp\n",
    "    , pool_rewards_q.poolid.lpToken\n",
    "    , pool_rewards_q.contract #addressese for contracts of pools deployed by convex (not curve) \n",
    "])\n",
    "\n",
    "# changing the data format\n",
    "pool_rewards_df['pools_crvRewards_timestamp'] = pd.to_datetime(pool_rewards_df['pools_crvRewards_timestamp'], unit='s').dt.floor('D')\n",
    "pool_rewards_df = pool_rewards_df.loc[pool_rewards_df['pools_crvRewards_timestamp']>'2022-04-17']\n",
    "pool_rewards_df['pools_crvRewards_crvRewards'] = pool_rewards_df['pools_crvRewards_crvRewards'] / (10**18)\n",
    "\n",
    "print(pool_rewards_df.shape)\n",
    "pool_rewards_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6b96ffee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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k7zvVaox7/lmVYZox09+NQVlid1ZZpiIz/RiR3g88r/f8V4xuAVnHDBhpWp7pftNaX8Dot/8wxmfTncwtS8C43w4CT6kMU8pliNlOKVWQezGj9JG1C1tOfpTEeQkhyiCpaRZCiNzNxJhH9hVTk9i/MGpGn8EYJGt8NvscxZhm6RuMWsVBGKNTv6O1PmPBMSdh1Dg+gdG/cj5Gc1B7jGbM/YBbGIk4phg6YUwZ9ZVp2/sxavz+4vYvvPk1B6NZ7VcYiUF25b2OMYXPQqXUQozBv25hJNtdMUapfdTUT3IORt/AAabmmteVUiMwppmZBoyyMK4OGfrHZhSntf7GwjKKSn7eg8K8X27AOWVMB7YHo59lFYzpgy6RYQ5gS2mttenHjqXAl0qpoRgtCc5jjPLcBqMp/c8WFvkpxr35hlJqXpba5hkYg3/1wajh3JDfeLOjtT6rlHoaoyY2TCn1E8Zc5z5AfdMx6wCnM+y2DqOvcPq/My7vl81yMBLMF4EVSqnvMO7xThiDR1ncfF9rfcnUcuMj4G+l1CyMZuFPYdR2Ns6weU1go1JqCUZCdwmjNcvTGM3DN+VxuA9N5/OlUqoJxn3TGKNJ/xHT+qx+xHjPp2IMcPZrlvi16T5ZB+xXSqVPM+eM8ffxYYxWBzPziC03OzEGxnvd1ArjGnBKa729EGXmqoTOSwhRFpX0cN3ykIc85FFaH2Qz5ZRpuQvGyMYnMb4kx2I0jQzOsl279P0x5vQ8hlH7dQx4oQDxdMRoanvWdNyrGMnnO0BAlm2rmGKKNW17EqMprHOW7SaZYgzJ5ningQ05xLLUtN/RXOJ1Bt7AqMG7YYo3DGOKp+ambd40lfN0Nvt/aVrXJ4/rkn6dc3qEZ9ku16mp8jjWTFMZ3hZsa9F7kM/3K/2ebGd6bW+6F3dgDNyWZHrf/gfUKOT9Xw4jkVqDkQAmm46xDuNHIidLr4spRg0Mz7LcFmOkbQ28kc/4Qkz7Tcplm9YYiW36dY3GqDkeCzhm2ba7qbwTWZbXMC2/lcN71wvjc3jNdJ3mY8xPfposnx9TOTNziXcURuKahPHjyRiMvt4Z3/MKGKPv78XoBnHDtO00svwdyOU4Phg/ep01va9nMT5vOb1/9qb3XgPf51JuMMbc0adN1+ui6dq8DwRlvV8KcE8OxxgY7VbGa0nuU049mk05t703puWTyObvoaXnJQ95yOPueSitrdFlRAgh7jxKqXYYX9Af01rPtGowQgghhBCiSEifZiGEEEIIIYQQIgeSNAshhBBCCCGEEDmQpFkIIYQQQgghhMiB9GkWQgghhBBCCCFyIDXNQgghhBBCCCFEDmSeZgt4e3vrkJAQa4chhBBCCCGEEKIY/PPPP3Faa5/s1knSbIGQkBB27dpl7TCEEEIIIYQQQhQDpVRETuukebYQQgghhBBCCJEDSZqFEEIIIYQQQogcSNIshBBCCCGEEELkQJJmIYQQQgghhBAiB5I0CyGEEEIIIYQQOZCkWQghhBBCCCGEyIEkzUIIIYQQQgghRA4kaRZCCCGEEEIIIXIgSbMQQgghhBBCCJEDSZqFEKIUOnLkCI0aNcLNzY3PPvvM2uEIIYQQQty17KwdgBBCiNt9+OGHPPDAA+zdu9faoQghhBBC3NWkplkIIUqhiIgI6tatm+261NTUEo5GCCGEEOLuJUmzEEKUMu3bt2f9+vWMHj0aV1dXBg0axNNPP03Xrl1xcXFh/fr1LF++nMaNG+Pu7k5QUBCTJk0y779gwQKqVKnClStXAFi5ciX+/v5cuHDBSmckhBBCCFF2SdIshBClzLp167jvvvv44osvSExMxN7enrlz5/L6669z9epV2rRpg4uLC7NmzSIhIYHly5fz9ddf8+uvvwIwYMAAWrVqxfPPP8/FixcZMWIE06dPx8fHx7onJoQQQghRBkmfZiGEAN5aeojD0VeK9Rh1At2Z2D37Jtd56dmzJ61btwbA0dGRdu3amdc1aNCAgQMHsnHjRnr16gXAl19+SYMGDWjXrh3du3enW7duhQ1fCCGEEOKuJDXNQghRBgQFBWV6vX37dh544AF8fHzw8PDgm2++IS4uzrze09OTfv36cfDgQcaOHVvS4QohhBBC3DGkplkIIaDANcAlRSmV6fWgQYMYPXo0K1euxNHRkTFjxmRKmvfu3cv//vc/Bg4cyPPPP88ff/xR0iELIYQQQtwRpKZZCCHKoKtXr+Ll5YWjoyM7duxg7ty55nU3b95kyJAhTJ48mR9++IGoqCi++uorK0YrhBBCCFF2SdIshBBl0FdffcWbb76Jm5sbb7/9Nv379zeve+211wgKCuLpp5/GwcGB2bNnM2HCBI4dO2bFiIUQQgghyialtbZ2DKVe06ZN9a5du6wdhhBCCCGEEEKIYqCU+kdr3TS7dVLTLIQQQgghhBBC5ECSZiGEEEIIIYQQIgeSNAshhBBCCFHcYsPgy+aQcMbakQgh8kmSZiGEEEIIIYrbifVwIRz2zbN2JEKIfJKkWQghhBBCiOIWe9h43r8QZCBeIcoUSZqFEEIIIYQobrGHQdnCxWMQvcfa0Qgh8kGSZiGEEEIIIYpTWhrEhkOD/mBrDwcWWTsiIUQ+SNIshBBCCCFEcbocCcnXoHJLqNEZDv4MaanWjkoIYSFJmoUQ4i7y6KOPMmHCBGuHIYQQd5fYMOPZtw7U7weJMXBqo3VjEkJYTJJmIYQoIyZNmsSQIUMs3n7mzJm0adOmGCMSQghhkZhDxrNvKNR8EBzcjQHBhBBlgiTNQgghhBBCFKfYMPCsDA5uUM4R6vSAsKVw67q1IxNCWECSZiGEKIWmTJlCxYoVcXNzo1atWixfvpzJkyezYMECXF1dadiwIQCXL19mxIgRBAQEULFiRSZMmEBqaiphYWE89dRTbN26FVdXVzw9Pc1lX7p0iYceegg3NzeaN2/OiRMnrHSWQghxl4gNM5pmp6vfH24lwtGV1otJCGExSZqFEKKUOXLkCF988QU7d+7k6tWr/Pnnn4SGhjJ+/HgGDBhAYmIi+/btA4w+ynZ2dhw/fpw9e/awatUqpk+fTu3atfnmm29o2bIliYmJJCQkmMufP38+EydO5NKlS1SvXp3XX3/dSmcqhBB3gdRkiDsKvrX/XRbSBtwCYL+Moi1EWWBn7QCEEKJUWPkqnD9QvMfwrw9dPshzM1tbW5KSkjh8+DA+Pj6EhIRku11MTAwrVqwgISEBJycnXFxcePHFF/nuu+8YNWpUjuX37t2be++9F4DBgwfz0ksvFeh0hBBCWODicUhLBt+6/y6zsYV6fWD7N3DtIrhUsF58Qog8SU2zEEKUMtWrV2fatGlMmjQJX19fHnnkEaKjo2/bLiIiguTkZAICAvD09MTT05NRo0YRGxuba/n+/v7mfzs7O5OYmFjk5yCEEMIk9rDxnLGmGYw5m9NS4PCSko9JCJEvUtMshBBgUQ1wSRo0aBCDBg3iypUrjBo1ildeeYXq1atn2iYoKAgHBwfi4uKws7v9z7lSqqTCFUIIkZPYMFC24F0j83L/BuATajTRbvaEdWITQlhEapqFEKKUOXLkCOvWrSMpKQlHR0ecnJywsbHBz8+P06dPk5aWBkBAQACdO3dm7NixXLlyhbS0NE6cOMHGjcbcn35+fpw9e5Zbt25Z83SEEOLuFnMYKlQHO4fMy5Uy5mw+sw0uRVgnNiGERSRpFkKIUiYpKYlXX30Vb29v/P39iY2N5f3336dfv34AVKhQgSZNmgAwa9Ysbt26RZ06dShfvjx9+/bl3LlzALRv3566devi7++Pt7e31c5HCCHuarGHwa9O9uvqG3/XOSADgglRmimttbVjKPWaNm2qd+3aZe0whBBCCCFEWXLrGkyuCA+Mh7YvZ7/NjP+DG5fg2e1G7bMQwiqUUv9orZtmt05qmoUQQgghhCgOF8IBffsgYBk16A9xR+D8/hILSwiRP5I0CyGEEEIIURxiw4xn3xyaZwPU7Q02drB/YcnEJITIN0mahRBCCCGEKA6xYWDnBOVDct7G2Quqd4KDP0NaaomFJoSwnCTNQgghhBBCFIfYw+BTC2xsc9+uQT+4eg5ObyqZuIQQ+SJJsxBCCCGEEMUh5nDuTbPT1ewC9m7GnM1CiFJHkmYhhBBCCCGK2vV4SDyf83RTGdk7Q+3uEPY7JN8s/tiEEPkiSbMQQgghhBBFzTwIWC4jZ2fUoB8kXYGjfxRfTEKIApGkWQghhBBCiKIWe9h4tqR5NkCVtuDqJ6NoC1EKSdIshBAiX27cuEH37t3x8PCgX79+zJkzh86dO1s7LFFKbdiwgUqVKlk7jHyZOXMmbdq0KdC+kyZNYsiQIUUckcjo0UcfZcKECdYOI2+xh8HRE9wCLNvexhbq9YVjq4ym3UKIUkOSZiGEKKXmzp1L06ZNcXV1JSAggC5durB582Zrh8XixYuJiYnh4sWLLFq0iMGDB7Nq1apstz19+jRKKVxdXc2Phg0bFvjYJZ2QZPflPP2cUlJSANi8eTOtWrXCw8MDLy8vWrduzc6dOwEj+bK1tTWfe5UqVXjsscc4evRojsfcsGEDSil69+6dafm+fftQStGuXbsCxy7KrnHjxlGjRg3c3NwIDQ1l1qxZOW6bU9IfEhLCmjVrADh79ix9+vTB29sbDw8P6tWrx8yZM9m0aZP5fnVxcbnt8xsZGZmpzPnz51OrVi08PDzw9fVl+PDhXLlyJdMxnZyccHV1xc/Pj0cffZTExMQiuiqlXGyYUcuslOX7NOgHaclw+Lfii0sIkW+SNAshRCn08ccfM2bMGMaPH09MTAyRkZE888wz/PZb/r9IpSd3RSUiIoKaNWtiZ2dn8T4JCQkkJiaSmJjIvn37ijSe/Cjqa3HlyhW6devGc889R3x8PFFRUUycOBEHBwfzNi1btiQxMZHLly+zZs0anJycuOeeezh48GCO5fr4+LB161YuXrxoXvbjjz9Ss2bNIo3/blDU77m1uLi4sHTpUi5fvsyPP/7ICy+8wN9//13g8oYOHUpQUBARERFcvHiRn376CT8/P+677z7zZ/XQoUNA5s9v5cqVM5XTunVrtmzZwuXLlzl58iQpKSm3/VizdOlSEhMT2b17N7t27eLdd98tcNxlhtZGTbOl/ZnTBTSCCjXggIyiLURpUqJJs1Lq/5RS65RS55VSSUqps0qphUqpPDt7KKVClFI6h4enhfs+UWQnI4QQxeTy5cu8+eabfPnllzz88MO4uLhQrlw5unfvzn//+1/g9lrErE1gQ0JCmDJlCg0aNMDFxYUpU6bQt2/fTMd54YUXeP75583HHDFiBAEBAVSsWJEJEyaQmpp6W2wTJ07k7bffZsGCBbi6ujJjxowCNWXdsWMHLVu2xNPTk4CAAEaPHs2tW7fM6w8dOkSnTp3w8vLCz8+PyZMn88cffzB58mTzsdNrrKOjo+nRowdeXl5Ur16d77//3lzOpEmT6Nu3L0OGDMHd3Z0PPvgAZ2fnTMno7t278fHxITk5OV/nAJhrjAcOHIitrS1OTk507tyZBg0a3Latra0t1apV46uvvqJt27ZMmjQpx3Lt7e3p1asX8+fPByA1NZUFCxYwePDgTNuFh4ebr1OtWrVYuNDoC/ndd98xZ84cPvzwQ1xdXenevTsAH3zwAdWqVcPNzY06deqwZMkSc1kzZ86kdevWjB49Gg8PD0JDQ1m7dq15fW7XOSkpiTFjxhAYGEhgYCBjxowhKSkpn1fTuL+ee+45AJKTk3FxceE///kPYHQLcHR0JD7eaLb6+++/U7duXTw9PWnXrh1hYWHmcrLe/8ePH0cpxQ8//EBQUBDly5fnm2++YefOnTRo0ABPT09Gjx59Wzzjxo2jfPnyVKlShZUrV1p0LbLatm0brVq1wtPTk4YNG7Jhw4Zst8vrM/rWW28RGhqKjY0NzZs357777mPr1q0WXNXs7dy5k0cffRQXFxfs7Oxo3LgxXbp0yXc5QUFBeHt7m1/b2tpy/PjxbLetWLEiXbp0Mf9glNt7GBYWRrt27fD09KRu3br8/vvv+Y7Nqq5Ew83L+U+alYIG/SFiCyRE5r29EKJElHRNsxfwDzAa6Ay8BtQFtimlgi0s432gZZbH1aIPVQghrGPr1q3cvHnztua5+TVv3jyWL19OQkICjzzyCCtWrODqVePPZWpqKgsXLmTQoEGAkYTb2dlx/Phx9uzZw6pVq5g+ffptZb711luMHz+eAQMGkJiYyIgRIwoUm62tLZ988glxcXFs3bqVtWvX8tVXXwFw9epVOnbsyIMPPkh0dDTHjx+nQ4cOPPjgg5mOnV5j/cgjj1CpUiWio6NZvHgx48ePZ926deZj/fbbb/Tt25eEhATGjh1Lu3btzMklwE8//cQjjzxCuXLl8n0eNWvWxNbWluHDh7Ny5UouXbpk0X4PP/wwmzZtynWbYcOGmZvg/vnnn9SrV4/AwEDz+mvXrtGpUycGDRpEbGws8+fP55lnnuHw4cM8+eSTDB48mJdffpnExESWLl0KQLVq1di0aROXL19m4sSJDBkyhHPnzpnL3L59O9WqVSMuLo633nqLhx9+2Jyk5nad33vvPbZt28bevXvZt28fO3bsyLE28ZlnnuGZZ57Jdl3btm3NSeXOnTvx9/fnr7/+AozPRa1atfDy8uLo0aMMHDiQadOmceHCBbp27Ur37t0z/fCS8f5PbxWxfft2jh07xoIFCxgzZgzvvfcea9as4dChQyxcuJCNGzdmuha1atUiLi6Ol19+mREjRqC1zvNaZBQVFcVDDz3EhAkTiI+P56OPPqJPnz5cuHDhtm3z+oxmdOPGDXbu3EndunWzvY6WaNGiBc8++yzz58+/rcl1fm3evBkPDw/c3Nz4+eefGTNmTLbbnTlzhhUrVtC4ceNc38Pk5GS6d+9O586diY2N5fPPP2fw4MEcOXKkUHGWqPSRs/0K8B7V72c8H1hcdPEIIQrF8rZ1RUBrPQ+Yl3GZUmoHEA70BaZaUMxJrfW2YghPCHEXm7JjCuHx4cV6jFCvUF6595U8t7t48SLe3t75av6cneeff56goCAAgoODadKkCUuWLGHYsGGsW7cOZ2dnWrRoQUxMDCtWrCAhIQEnJydcXFx48cUX+e677xg1alShYkiXsSZqwoQJjBs3zvw6JCSEUaNGsXHjRsaMGcOyZcvw9/dn7NixADg6OtK8efNsyz1z5gxbtmxh+fLlODo60qhRI5544glmzZpF+/btAaN5dK9evQBwcnJi+PDhfPbZZzz99NOkpqYyb968Atdiubu7s3nzZqZMmcLIkSM5f/48Xbt25fvvv8fPzy/H/QIDA83JaE5atWpFfHw8R44cYdasWQwbNowbN26Y1y9btoyQkBAee+wxABo3bkyfPn1YtGgREydOzLbMfv36mf89YMAA3n//fXbs2EHPnj0B8PX1ZcyYMSilGDBgAFOnTmX58uW0a9cu1+s8Z84cPv/8c3x9fQGjxnjUqFG88847t8WQ/uNIdlq2bMmxY8e4ePEif/31FyNGjOCrr74iMTGRjRs30rZtWwAWLFjAQw89RKdOnQCjRvjTTz/l77//Nvf5znj/p3vjjTdwdHSkc+fOuLi4MHDgQHPM9913H3v27DEfIzg4mJEjRwIwfPhwnnnmGWJiYkhOTs7znks3e/ZsunbtSteuXQHo1KkTTZs2ZcWKFQwfPjzTtrl9RrN66qmnaNiwIf/3f/+X47XMy6JFi5gyZQrvvPMO4eHh1K9fn++//55mzZrlu6w2bdpw+fJloqKi+P777wkJCcm0vlevXtjZ2eHh4cFDDz3E+PHj+eijj3J8D21tbUlMTOTVV1/FxsaG9u3b061bN+bNm5drC41SJX3kbJ/Q/O/rVQUq3Ws00b7vpaKNSwhRIKWhT3N6G7kS7XSklPJWSm1XSoUppSrnvYcQQpSMChUqEBcXV+i+mFkThkGDBjFvnvG75dy5c801WBERESQnJxMQEICnpyeenp6MGjWK2NjYQh0/o7i4OBISEkhISGDcuHEcPXqUbt264e/vj7u7O+PHjycuLg4wEuFq1apZVG50dDReXl64ubmZlwUHBxMVFWV+nfU69OzZk8OHD3Pq1ClWr16Nh4cH9957b7bl29nZ3dZsOzk5GRsbG2xsjP9Ca9euzcyZMzl79iwHDx4kOjo6x5q2dFFRUXh5eeV5fkOHDuWLL75g/fr1t7U8iIiIYPv27eb3zNPTkzlz5nD+/Pkcy5s1axaNGjUyb3/w4EHzdQej+azKMGhRcHAw0dHReV7n6OhogoODb9svv5ycnGjatCkbN27kr7/+om3btrRq1YotW7ZkSpqzHs/GxoagoKBc33cg0w8ZTk5Ot73OOECVv7+/+d/Ozs4AJCYmWnTPpYuIiGDRokWZ3qPNmzdnqt3PKKfPaEb/+c9/OHjwIAsXLsz0XmWU3X0Lxr2b3qKifPnyfPDBBxw6dIiYmBgaNWpEr169zLXp2ZkzZ455QLDsmnJXrFiRBx98kEceeSTT8l9//ZWEhAQiIiL46quvcHJyyvU9jI6OJigoyPwZg5yvcakVe9gYNds57895thr0N8o4n/PYB0KIklOiNc3plFK2gC0QDHwAnCdLDXQu3ldKfQNcAzYCr2utD+Tz+CHAn8AloI3W+mLuewgh7nSW1ACXlJYtW+Lg4MCvv/56Wx/HdC4uLly/ft38OrtEKesX6n79+jF27FjOnj3LkiVLzP0hg4KCcHBwIC4urtC125Z6+umnady4MfPmzcPNzY1p06axePFiczzpfXmzynpO6TW2V69eNScxkZGRVKxYMcd9HB0d6d+/P7NnzyY8PJyhQ4fmGGflypXNgyGlO3Xq1G1f6NOFhoby6KOP8u233+Zy9rBkyRLuu+++XLcBI2muXr06w4YNMydu6YKCgmjbti2rV6/Odt+s5x0REcHIkSNZu3YtLVu2xNbWlkaNGmVKkqKiotBam/eNjIykR48eeV7nwMBAIiIizM2FIyMjMzUlz4+2bduybt069uzZQ7NmzWjbti1//vknO3bs4P777zcf78CBf//r11pz5syZXN/3omLJPZcuKCiIoUOH5trnOaOcPqPpJk6cyMqVK9m4cSPu7u45llO5cmUiIyMzvZfXr18nNjY2U6Kaztvbm3HjxvHjjz8SHx9PhQoVsi138ODBt/WrzyolJYUTJ07kdaq5voe2tracOXOGtLQ08+csMjKybA2EF3vY8vmZs1O3N6x8BQ4sBP96RReXEKJArFXTvB1IAo4CDYD2Wuu8qjSSgG+BUcADwDigPvC3UsriURaUUg2Bv4ETpuNmmzArpZ5USu1SSu3Kru+REEIUFw8PD95++22effZZfv31V65fv05ycjIrV67k5ZdfBqBRo0asWLGC+Ph4zp8/z7Rp0/Is18fHh3bt2vHYY49RpUoVatc2/nQGBATQuXNnxo4dy5UrV0hLS+PEiROZ+ncWtatXr+Lu7o6rqyvh4eF8/fXX5nXdunXj3LlzTJs2jaSkJK5evcr27dsBo6bw9OnTpKWlAUZS0qpVK1577TVu3rzJ/v37mTFjRp7TUg0bNoyZM2fy+++/55o09+nTh+XLl7Nq1SpSU1OJjo7m3XffNdekhYeHM3XqVM6ePQsYteTz5s3Ltkltamoqp06d4rnnnmPDhg05NqHOqEqVKmzcuJH33nvvtnXdunXj6NGj/PTTTyQnJ5OcnMzOnTvNgyn5+flx8uRJ8/bXrl1DKYWPjw8AP/zww20jeMfGxvLZZ5+RnJzMokWLCAsLo2vXrnle54EDB/Luu+9y4cIF4uLiePvttws8NVjbtm2ZNWsWderUwd7ennbt2jF9+nSqVKlijr1///4sX76ctWvXkpyczNSpU3FwcKBVq1YFOmZ+5OeeGzJkCEuXLuXPP/8kNTWVmzdvsmHDBvP9klVOn1GA999/n7lz57JmzZock9p0zZs3x9HRkQ8++ICbN29y7do1Xn31VZo2bWpOml955RUOHjxISkoKV69e5euvv6Z69ep5lp3VnDlzzH2iIyIieP311+nQoUOe++X2HjZv3hxnZ2c+/PBDkpOT2bBhA0uXLr2tBrvUSkuFC0fyPwhYRi7eUL2j0a/Z9PdOCGE91kqahwItgEHAFWC1qfY3R1rrc1rrp7TWv2itN2mtvwfuBzTwuoXHvR+jdnoN0ENrfT2nDbXW32mtm2qtm6b/Jy2EECVl7NixfPzxx7z77rv4+PgQFBTEF198Ye6bO3ToUBo2bEhISAidO3dmwIABFpU7aNAg1qxZc1uzz1mzZnHr1i3q1KlD+fLl6du3r7kJafq8rUXpo48+Yu7cubi5uTFy5MhM8bu5ubF69WqWLl2Kv78/NWrUYP369cC/fXIrVKhAkyZNAGPAp9OnTxMYGEjv3r1566236NixY67Hb926NTY2NjRp0iTbmrd0devWZd68ebz22mt4eXnRsmVLmjdvbk543dzc2L59O82bN8fFxYUWLVpQr149pk79d4iOrVu34urqiru7O+3atePKlSvs3LmT+vXrW3St2rRpk22trZubG6tWrWL+/PkEBgbi7+/PK6+8Yh61esSIERw+fBhPT0969epFnTp1GDt2LC1btsTPz48DBw7QunXrTGU2b96cY8eO4e3tzeuvv87ixYvNSVRu13nChAk0bdqUBg0aUL9+fZo0aZLjHNFPPfUUTz31VI7n26pVK27cuGGuVa5Tpw6Ojo7m1wC1atVi9uzZPPfcc3h7e7N06VKWLl2Kvb29Rde0sCy954KCgvjtt9+YPHmy+XP83//+1/yjT3Zy+oyOHz+eyMhIqlevbm4iPXny5GzLcHBwYPny5eZR9atWrUp0dHSmJt3Xr1+nd+/eeHp6UrVqVSIiIgrUt//w4cO0atUKFxcXWrduTa1atSyqWc/tPbS3t2fp0qWsXLkSb29vnnnmGWbNmkVoaAH6B1vDpdOQcrNwNc1gNNG+EmWMpC2EsCqVW9+VEgnAmC7qNDBfa53z/6I5778CqKa1rpXLNiHAKYz+055AW621xX+BmjZtqnft2pXf0IQQQpRi7du3Z9CgQTzxhMxGCMaUU9OnT2fz5s3WDkWIsu3w77BwKIxcDxWbFLycW9fgvzWgfh/o8XnRxSeEyJZS6h+tddPs1ll9IDCtdQJwHKhemGIs3O4NYCmwUinVOq+NhRBC3Jl27tzJ7t27La6hF0IIi8WGAapgI2dnZO8CtbvBod8g+WaRhCaEKBirJ81KKT8gFKOPcX73rQy0AXZYuEsy0B9YBfyhlMp7FBYhhBB3lOHDh9OxY0emTZuWaQRkIYQoErGHjWmj7J3z3jYvDfpD0mU4tqrwZQkhCqxER89WSi0BdgP7Mfoy1wRexJhuamqG7doCa4HHtdazTMumYiT5W4ELQC3gNSANuH2ElBxorZOVUo8AczBqnLtqrf8q/NkJIYQoC3788Udrh1AqPfroozz66KPWDkOIsq+wI2dnVKUduPgYo2jX6VE0ZQoh8q2ka5q3Ab2AH4HlwEsYA3M10lofzbCdwpiSKmN8hzBqlb/FqCmeBGwBmmutj+QnCK11CsYgZL9jJM4PFOBchBBCCCGE+FfyTbh4ouiSZls7qNcHjv4JNxKKpkwhRL6VaE2z1noKMMWC7TZgJM4Zl/0P+F8Bj3s6m/JSMRJnIYQQQgghCu/iMdCphZtuKqv6/WH7NxD2OzQZVnTlCiEsZvU+zUIIIYQQQtwRYo150ousphmMEbi9qsH+hUVXphAiXyRpFkIIIYQQoijEHAKbclChWtGVqZQxINjpzXA5qujKFUJYTJJmIYQQQgghikJsGPjUAttyRVtu/X6AhoOLi7ZcIYRFJGkWQgiRLzdu3KB79+54eHjQr18/5syZQ+fOna0dliilNmzYQKVKlawdRiZPPfUU77zzjrXDEKVcSEgIa9asyd9OsWFF2585XYVqUPEe2L+o6MsWQuRJkmYhhCil5s6dS9OmTXF1dSUgIIAuXbqwefNma4fF4sWLiYmJ4eLFiyxatIjBgwezalX2c4iePn0apRSurq7mR8OGDQt87EmTJjFkyJAC759fjz76KBMmTMi0LP2cUlJSANi8eTOtWrXCw8MDLy8vWrduzc6dOwGYOXMmtra25nOvUqUKjz32GEePHr3tWOk2bNiAUorevXtnWr5v3z6UUrRr167AsZcFSil8fX3N1xcgOTkZX19flFK57Gm5b775hjfeeCPf++UniWrXrh3Tp0/P9zGKSl6xFtV9VlJefvllgoKCcHd3Jzg4mMmTJ5vXZf07ExISwgcffFDyQd68ApcjiydpBmNAsJgDEHO4eMoXQuRIkmYhhCiFPv74Y8aMGcP48eOJiYkhMjKSZ555ht9++y3fZWVMPopCREQENWvWxM7O8gkYEhISSExMJDExkX379hVpPPlR1NfiypUrdOvWjeeee474+HiioqKYOHEiDg4O5m1atmxJYmIily9fZs2aNTg5OXHPPfdw8ODBHMv18fFh69atXLx40bzsxx9/pGbNmkUaf2lVvnx5Vq5caX69cuVKypcvb8WISl5qamqxH6Ms3WcjRowgPDycK1eu8PfffzNnzhx++eWXTNuk/52ZN28eb7/9Nn/88UfJBnkh3Hj2rVs85dd7GJStMWezEKJESdIshBClzOXLl3nzzTf58ssvefjhh3FxcaFcuXJ0796d//73v8DttYhZm8CGhIQwZcoUGjRogIuLC1OmTKFv376ZjvPCCy/w/PPPm485YsQIAgICqFixIhMmTMj2S/vEiRN5++23WbBgAa6ursyYMYOZM2fSpk2bfJ3jjh07aNmyJZ6engQEBDB69Ghu3bplXn/o0CE6deqEl5cXfn5+TJ48mT/++IPJkyebj51eYx0dHU2PHj3w8vKievXqfP/99+ZyJk2aRN++fRkyZAju7u588MEHODs7Z0oSdu/ejY+PD8nJyfk6B8BcYzxw4EBsbW1xcnKic+fONGjQ4LZtbW1tqVatGl999RVt27Zl0qRJOZZrb29Pr169mD9/PmAkUAsWLGDw4MGZtgsPDzdfp1q1arFwofFl+rvvvmPOnDl8+OGHuLq60r17dwA++OADqlWrhpubG3Xq1GHJkiXmsmbOnEnr1q0ZPXo0Hh4ehIaGsnbtWvP63K5zUlISY8aMITAwkMDAQMaMGUNSUlI+r+a/hg4dyqxZs8yvZ82axbBhmafa+eGHH6hduzZubm5UrVqVb7/9NtP6Dz/8kICAAAIDA5k+fTpKKY4fPw7c/vn57bffaNSoEe7u7lSrVs2iZCv9vh83bhzly5enSpUq5kT/9ddfZ9OmTYwePRpXV1dGjx4N5Px+pcf09NNP07VrV1xcXFi/fj0hISF89NFHNGjQAA8PDwYMGMDNmzfN+yxbtoxGjRrh6elJq1at2L9/v/n6RUZG0r17d1xdXfnwww+zPQdL77O///6bZs2a4eHhQbNmzfj777/N69q1a8cbb7xB69atcXNzo3PnzsTFxZnXb9u2jVatWuHp6UnDhg3ZsGEDAIsWLeKee+7JdJyPP/6Ynj17ZhtrrVq1cHFxMb+2sbExv59ZtWzZkrp163Lw4EHS0tJ49913CQ4OxtfXl2HDhnH58mXztr///jt169bF09OTdu3aERYWlm2ZFok11QAXV02zqy9UewAOLIa0tOI5hhAie1preeTxuOeee7QQQpSUlStXaltbW52cnJzjNsOHD9evv/66+fX69et1xYoVza+Dg4N1w4YNdWRkpL5+/bo+ffq0dnJy0leuXNFaa52SkqL9/f311q1btdZa9+rVSz/55JM6MTFRx8TE6GbNmulvvvkm22NPnDhRDx482Pz6hx9+0K1bt85221OnTmngtnPZtWuX3rp1q05OTtanTp3SoaGh+pNPPtFaa33lyhXt7++vP/roI33jxg195coVvW3btmyPrbXW9913n3766af1jRs39J49e7S3t7deu3ateXs7Ozu9ZMkSnZqaqq9fv667dOmiv/rqK/P+Y8aM0aNHj7boOmc9p8uXL2svLy89bNgwvWLFCh0fH59p25yuzYwZM7Svr2+2x0x/L7ds2aLvvfderbXWy5cv1507d9bff/+9btu2rdZa68TERF2pUiX9v//9TycnJ+vdu3frChUq6EOHDuUY+8KFC3VUVJROTU3V8+fP187Ozjo6Otocq62trf7444/1rVu39Pz587W7u7u+ePFintf5jTfe0M2bN9cxMTE6NjZWt2zZUk+YMCHT+aR7+umn9dNPP53tuWutNaAPHDigfX199aVLl3R8fLz29fXVBw4c0MbXFsOyZcv08ePHdVpamt6wYYN2cnLS//zzj9ba+Az5+fnpgwcP6mvXrunBgwdrQB87duy2a7N9+3bt7u6uV61apVNTU/XZs2d1WFhYtrEFBwfr1atXm6+XnZ2d/u6773RKSor+6quvdEBAgE5LS9Naa922bVv9/fffm/e15P1yd3fXmzdv1qmpqfrGjRs6ODhYN2vWTEdFRemLFy/q0NBQ/fXXX2uttd69e7f28fHR27Zt0ykpKXrmzJk6ODhY37x587ZYs2PpfXbx4kXt6empZ82apZOTk/XcuXO1p6enjouLM59n1apV9ZEjR/T169d127Zt9SuvvKK11vrs2bPay8tLL1++XKempupVq1ZpLy8vHRsbq2/evKnLly+vDx8+bI6pUaNGevHixTnG/P7772sXFxcN6CpVqugzZ85orTN/JtPS0vTmzZu1k5OTXrNmjZ4xY4auVq2aPnHihL569aru3bu3HjJkiNZa6yNHjmhnZ2e9atUqfevWLT1lyhRdrVo1nZSUZNE1vM2Kl7V+L1Dr1FTL98mvvfO1nuiu9ektxXcMIe5SwC6dQz4oNc1CCAGcnzyZiKHDivVxPkMfvNxcvHgRb2/vfDV/zs7zzz9PUFAQTk5OBAcH06RJE3PN4rp163B2dqZFixbExMSwYsUKpk2bhouLC76+vrz44ovm2qei4O3tjaenJ56ennz00Ufcc889tGjRAjs7O0JCQhg1ahQbN24EjNozf39/xo4di6OjI25ubjRv3jzbcs+cOcOWLVuYMmUKjo6ONGrUiCeeeCJTLWXLli3p1asXNjY2ODk5MXz4cGbPng0YNWvz5s1j6NChBTovd3d3Nm/ejFKKkSNH4uPjQ48ePYiJicl1v8DAQOLj43PdplWrVsTHx3PkyJFsa1qXLVtGSEgIjz32GHZ2djRu3Jg+ffqwaFHOAwX169ePwMBAbGxsGDBgADVq1GDHjh3m9b6+vowZM4Zy5coxYMAAatWqxfLly/O8znPmzOHNN9/E19cXHx8fJk6cyE8//ZRtDF999RVfffVVrufu6OhI9+7dWbBgAQsWLKBHjx44Ojpm2uahhx6iWrVqKKVo27YtnTt3ZtOmTQAsXLiQxx57jLp16+Ls7Jxrrf6MGTN4/PHH6dSpEzY2NlSsWJHQ0NBc40sXHBzMyJEjsbW1Zfjw4Zw7dy7H996S96tnz560bt0aGxsb8/k+//zzBAYG4uXlRffu3dm7dy9gtCYYNWoUzZs3Nx/fwcGBbdu2WRR7urzus+XLl1OjRg2GDh2KnZ0dAwcOJDQ0lKVLl5q3eeyxx6hZsyZOTk7079/fHOPs2bPp2rUrXbt2xcbGhk6dOtG0aVNWrFiBg4MDAwYMMH8WDx06xOnTp+nWrVuOsb766qtcvXqV3bt3M3ToUDw8PDKt9/b2xsvLiyeeeIIPPviADh06MGfOHF566SWqVq2Kq6sr77//PvPnzyclJYUFCxbw0EMP0alTJ8qVK8e4ceO4ceNGppr0fIk5BD6hYFOMX69DH4JyzrB/QfEdQwhxG0mahRCilKlQoQJxcXGF7n8bFBSU6fWgQYOYN28eYAwyNmjQIMDoo5ycnExAQIA5sR01ahSxsbGFOn5GcXFxJCQkkJCQwLhx4zh69CjdunXD398fd3d3xo8fb27SeebMGapVs2yO0+joaLy8vHBzczMvCw4OJirq37lMs16Hnj17cvjwYU6dOsXq1avx8PDg3nvvzbZ8Ozu725ptJycnY2Njg43pi3Ht2rWZOXMmZ8+e5eDBg0RHRzNmzJhc446KisLLyyvP8xs6dChffPEF69evv23ApoiICLZv325+zzw9PZkzZw7nz5/PsbxZs2aZm/N6enpy8ODBTE1pK1asmGmwreDgYKKjo/O8ztHR0QQHB9+2X2EMGzaMWbNmZZvIgdHPuUWLFnh5eeHp6cmKFSvM5xIdHZ3pfc96D2SUn/stK39/f/O/nZ2dAUhMTMx2W0ver+zizHqM9PIjIiKYOnVqpvLOnDlToOue232W9b2F2z9jucW4aNGiTDFu3ryZc+fOATB8+HDmzp2L1pqffvqJ/v37ZxoPIDtKKRo3boyTkxMTJ07MtC4uLo5Lly4RFhZm7nqS3b2ZkpJCTEzMbetsbGwICgrKdG75EhsGfnUKtq+lHFyNxPnQr5ByK8/NhRBFo3DVGEIIcYfwHz/e2iGYtWzZEgcHB3799dfb+iGnc3Fx4fr16+bX2SVKWUca7tevH2PHjuXs2bMsWbKErVu3AsYXdQcHB+Li4gpdu22pp59+msaNGzNv3jzc3NyYNm0aixcvNseTUy131nNKr7G9evWqOaGLjIykYsWKOe7j6OhI//79mT17NuHh4bnWMleuXJlDhw5lWnbq1CmCgoLMSXNGoaGhPProo7f1r81qyZIl3HfffbluA0YyU716dYYNG2ZOytIFBQXRtm1bVq9ene2+Wc87IiKCkSNHsnbtWlq2bImtrS2NGjXCaJFmiIqKQmtt3jcyMpIePXrkeZ0DAwOJiIigbt265nWBgYF5nl9u7rvvPs6dO4dSijZt2nDixAnzuqSkJPr06cOsWbPo2bMn5cqVo1evXuZzCQgI4OzZs+btz5w5k+NxgoKCMpVdVLJe/7zer+z2yU1QUBCvv/46r7/+eqHLyu0+S39vM4qMjOTBBx+0KMahQ4dm6v+eUYsWLbC3t2fTpk3MnTuXuXPnWhxzSkqKRe9b1vgjIyOxs7PDz8+PwMBADhw4YF6ntebMmTOZ/n5YLPECXI8D32JOmsEYRfvAIji+2kighRDFTmqahRCilPHw8ODtt9/m2Wef5ddff+X69eskJyezcuVKXn75ZQAaNWrEihUriI+P5/z580ybNi3Pcn18fGjXrh2PPfYYVapUoXZtY7CagIAAOnfuzNixY7ly5QppaWmcOHHC3Fy6OFy9ehV3d3dcXV0JDw/n66+/Nq/r1q0b586dY9q0aSQlJXH16lW2b98OgJ+fH6dPnybNNAhOUFAQrVq14rXXXuPmzZvs37+fGTNm5Dkt1bBhw5g5cya///57rklznz59WL58OatWrSI1NZXo6GjeffddHnnkEcAY2Gnq1KnmBO3MmTPMmzePFi1a3FZWamoqp06d4rnnnmPDhg231ZJlp0qVKmzcuJH33nvvtnXdunXj6NGj/PTTTyQnJ5OcnMzOnTvNAxn5+flx8uRJ8/bXrl1DKYWPjw9gDKSVdQTv2NhYPvvsM5KTk1m0aBFhYWF07do1z+s8cOBA3n33XS5cuEBcXBxvv/12oacGU0qxdOlSfv/999sSwFu3bpGUlISPjw92dnasXLky07Rn/fv354cffiAsLIzr16/nOifziBEj+OGHH1i7di1paWlERUURHh5eqNjh9uuf1/uVXyNHjuSbb75h+/btaK25du0ay5cv5+rVq9kePze53Wddu3bl6NGjzJ0719yk+fDhw7k2o043ZMgQli5dyp9//klqaio3b95kw4YNmX7QGDZsGKNHj6ZcuXI5DiiYlpbGt99+y6VLl9Bas2PHDr788ks6dOiQZwwDBw7kk08+4dSpUyQmJjJ+/HgGDBiAnZ0d/fv3Z/ny5axdu5bk5GSmTp2Kg4MDrVq1yrPc28SaflwrrkHAMqr2ADhXgP0yirYQJUWSZiGEKIXGjh3Lxx9/zLvvvouPjw9BQUF88cUX9OrVCzBqhho2bEhISAidO3dmwIABFpU7aNAg1qxZY26anW7WrFncunWLOnXqUL58efr27WtuQrlp0yZcXV2L9Pw++ugj5s6di5ubGyNHjswUv5ubG6tXr2bp0qX4+/tTo0YN1q9fDxi15WA0YW/SpAkA8+bN4/Tp0wQGBtK7d2/eeustOnbsmOvx0/uNNmnS5LampxnVrVuXefPm8dprr+Hl5UXLli1p3ry5OeF1c3Nj+/btNG/eHBcXF1q0aEG9evWYOnWquYytW7fi6uqKu7s77dq148qVK+zcuZP69etbdK3atGmTba2tm5sbq1atYv78+QQGBuLv788rr7xiHrV6xIgRHD58GE9PT3r16kWdOnUYO3YsLVu2xM/PjwMHDtC6detMZTZv3pxjx47h7e3N66+/zuLFi6lQoUKe13nChAk0bdqUBg0aUL9+fZo0aZLjHNFPPfUUTz31lEXnXrduXXPtddZz/+yzz+jfvz/ly5dn7ty59OjRw7y+S5cuPP/88zzwwANUr17d/CNGdk1/7733Xn744QdefPFFPDw8aNu27W01qwXxwgsvsHjxYsqXL8/zzz+f5/uVX02bNuX7779n9OjRlC9fnurVqzNz5kzz+tdee413333XPI5AXnK6zypUqMCyZcuYOnUqFSpU4MMPP2TZsmV4e3vnWWZQUBC//fYbkydPNv8d++9//2v+0QuMv2UHDx7M80eWJUuWmEd+HzJkCM899xzPPfdcnjE8/vjjDB06lPvvv58qVarg6OjI559/Dhgjcs+ePZvnnnsOb29vli5dytKlS7G3t8+z3NvEmn78KK7ppjKyLQd1H4ajf8DNy3lvL4QoNJWxWZbIXtOmTfWuXbusHYYQQogi1L59ewYNGsQTTzxh7VBKhZkzZzJ9+nQ2b95s7VCKXFhYGPXq1SMpKanEuiAIy9y4cQNfX192795NjRo1rB1Owf3+HISvgJeLvql/ts7shBkdoeeX0LhwrTqEEAal1D9a66bZrZOaZiGEEHednTt3snv3botr6EXZs2TJEpKSkrh06RKvvPIK3bt3l4S5FPr6669p1qxZ2U6YwahpLomm2ekqNYXyVaSJthAlRJJmIYQQd5Xhw4fTsWNHpk2blmk0aHFn+fbbb/H19aVatWrY2tpm6jcvSoeQkBA+/fTTTN0ZyqS0NFPSXAKDgKVTCur3g1N/wZVzJXdcIe5S0jzbAtI8WwghhBBCZOtSBHzaALp/Cvc8WnLHjTsGXzSFzu9Bq9Eld1wh7lDSPFsIIYQQQojiYB4ErARrmgG8a0BgY9i/oGSPK8RdSJJmIYQQQgghCip9uimf0JI/dv3+cH4/XDhS8scW4i4iSbMQQgghhBAFFRsGHpXB0b3kj12vDygbGRBMiGImSbMQQgghhBAFVdIjZ2fk5gdV2sKBhSDjFAlRbCRpFkIIIYQQoiBSkyHuqPWSZoAGAyAhEs5st14MQtzhJGkWQogyKDIyEldXV1JTU60dihBC3L0unoDUWyU/CFhGtbuBnZM00RaiGEnSLIQQpVBISAhr1qzJcX3lypVJTEzE1ta2BKOCSZMmMWTIEIu3//HHH7nnnntwd3enUqVKvPzyy6SkpBRjhEIIUYJiDxvPflZMmh3coFYXOLTEqPkWQhQ5SZqFEKKMKUzSWdIJ6/Xr15k2bRpxcXFs376dtWvX8tFHH5VoDEIIUWxiw0DZQoUa1o2jQX+4EQ/H11o3DiHuUJI0CyFEKTN06FAiIyPp3r07rq6ufPjhhyilmDFjBpUrV6Z9+/acPn0apZQ5CY6Pj+exxx4jMDCQ8uXL06tXLwA2bNhApUqVmDJlCv7+/jz22GPUq1ePpUuXmo+XnJyMt7c3e/bsMZf73XffERgYSEBAgDnJ/eOPP5g8eTILFizA1dWVhg0bAhAdHU2PHj3w8vKievXqfP/99+ayn376ae677z7s7e2pWLEigwcPZsuWLSV0JYUQopjFHoYK1aCco3XjqNYBnLxkzmYhiomdtQMQQgiR2U8//cSmTZuYPn06HTt25PTp07zyyits3LiRsLAwbGxsiImJybTP0KFDcXV15dChQ7i6uvL333+b150/f574+HgiIiJIS0vj888/Z/bs2XTv3h2AFStWEBAQQOPGjTl9+jQA69ev59ixY5w8eZL27dvTqFEjHnzwQcaPH8/x48eZPXu2ufxHHnmEevXqER0dTXh4OJ06daJatWq0b9/+tnP766+/qFu3bjFcNSGEsILYw+DfwNpRgJ091O0Ne+dC0lWjybYQoshI0iyEEMCmhUeJO5NYrMfwDnLlvv41C7z/pEmTcHFxuW35uXPnWLlyJRcvXqR8+fIAtG3b1rzexsaGt956CwcHBwCGDBnCO++8w5UrV3B3d+enn35i6NChmcqcOHEiLi4u1K9fn8cee4x58+bRsWPH24595swZtmzZwvLly3F0dKRRo0Y88cQTzJo167ak+X//+x+7du1i+vTpBb4GQghRaty6DvGnoMEj1o7E0KA/7JoBYcug0UBrRyPEHUWaZwshRBkRFBSU7fIzZ87g5eVlTpiz8vHxwdHx36aDgYGBtG7dmp9//pmEhARWrlzJ4MGDczxWcHAw0dHR2ZYdHR2Nl5cXbm5umbaPiorKtN2vv/7Ka6+9xsqVK/H29s79RIUQoiyIOwJo6043lVFQc/CsbMzZLIQoUlLTLIQQUKga4OKglLJoGRgJbnx8PAkJCXh6elq03/Dhw5k+fTopKSm0bNmSihUrZlp/5swZQkNDAWN6q8DAwGzLCgwMJD4+nqtXr5oT58jIyEzl/fHHH4wcOZLly5dTv379XM5aCCHKkBjTyNnWnG4qI6Wgfn/Y/DFcjQE3P2tHJMQdQ2qahRCiFPLz8+PkyZMWbRsQEECXLl145plnuHTpEsnJyfz111+57tOrVy92797Np59+yrBhw25b/84773D9+nUOHTrEDz/8wIABA8xxnT59mrS0NMBI2Fu1asVrr73GzZs32b9/PzNmzDBPS7Vu3ToGDx7Mzz//zL333pufSyCEEKVb7GGwcwSvKtaO5F8N+oNOg4M/WzsSIe4okjQLIUQp9Nprr/Huu+/i6enJ4sWL89z+p59+oly5coSGhuLr68u0adNy3d7JyYk+ffpw6tQpHn744dvWt23blurVq9OhQwfGjRtH586dAejXrx8AFSpUoEmTJgDMmzeP06dPExgYSO/evXnrrbfM/Z/feecdLl++TNeuXXF1dcXV1ZUuXbrk51IIIUTpFBsGPrXAxtbakfzLp5YxMJk00RaiSCmttbVjKPWaNm2qd+3aZe0whBCiSL399tscPXo000jYp0+fpkqVKiQnJ2NnJz14hBAiR1NDoWo76P2NtSPJ7O/PYdUEGP0PeFe3djRClBlKqX+01k2zWyc1zUIIcReKj49nxowZPPnkk9YORQghyp7r8XD1XOnpz5xRvb6AktpmIYqQJM1CCHGX+f777wkKCqJLly7cf//91g5HCCHKngvhxnNpTJrdA6DK/bB/AUiLUiGKhCTNQghxlxk5ciTXrl3jm29ub1IYEhKC1lqaZgshRG5i00fOLiXTTWXVoD9cOg1npXuhEEVBkmYhhBBCCCHyI+YwOHiAe6C1I8le7e5g6yBNtIUoIpI0CyGEEEIIkR+xYeBXx5gbuTRy9IBaD8LBXyA12drRCFHmSdIshBBCCCGEpbQ2mmeX1qbZ6RoMgOtxcGK9tSMRosyTpFkIIYQQQghLXT0HNxNK5yBgGVXvBI6e0kRbiCIgSbMQQgghhBCWKu2DgKWzs4e6vSB8OSQlWjsaIco0SZqFEEIAcPr0aZRSpKSkWDsUIYQovWLDjOfSXtMMUL8/JF+HIyusHYkQZZokzUIIUUoNGTKEgIAA3N3dqVmzJtOnT7d2SEIIIWIOg6s/OHtZO5K8VW4JHkHGnM1CiAKTpFkIIUqp1157jdOnT3PlyhV+//13JkyYwD///GPtsIQQ4u5WFgYBS2djA/X7GoOBJV6wdjRClFmSNAshRClVt25dHBwcAFBKoZTixIkTbNiwgUqVKjF58mS8vb0JCQlhzpw55v0uX77MsGHD8PHxITg4mHfffZe0tDQA0tLSePfddwkODsbX15dhw4Zx+fJlq5yfEEKUOWmpcOEI+NW1diSWq98fdCoc+sXakQhRZknSLIQQpdgzzzyDs7MzoaGhBAQE0LVrVwDOnz9PXFwcUVFR/Pjjjzz55JMcOXIEgOeee47Lly9z8uRJNm7cyKxZs/jhhx8AmDlzJjNnzmT9+vWcPHmSxMRERo8ebbXzE0KIMuXSaUi5UXZqmsGYT9qvHuyXUbSFKCiltbZ2DKVe06ZN9a5du6wdhhCiGK2f+R2xESeL9Ri+wVV54NEn871famoqW7duZcOGDbzyyits2bKFjh07cvnyZVxcXADo378/9evXZ/z48Tg5ObF3717q1DEGqfn222+ZN28eGzZsoEOHDvTp04dnnnkGgCNHjlCvXj1u3LjB2bNnqVKlCsnJydjZ2RXdiQshxJ0ibCksGAIj10HFe6wdjeW2fAqr34TndkOFataORohSSSn1j9a6aXbrpKZZCCFKOVtbW9q0acPZs2f5+uuvAShfvrw5YQYIDg4mOjqauLg4kpOTCQ4OzrQuKioKgOjo6NvWpaSkEBMTU0JnI4QQZVhsGKDAJ9TakeRPvb6AggOLrB2JEGWSVCUIIQQUqAa4pKWkpHDixAkaNGjApUuXuHbtmjlxjoyMpF69enh7e1OuXDkiIiLMNc2RkZFUrFgRgMDAQCIiIsxlRkZGYmdnh5+fH2fPni35kxJCiLIk9jCUDwF7lzw3LVU8KkJIG6OJdttXQClrRyREmSI1zUIIUQrFxsYyf/58EhMTSU1N5c8//2TevHl06NDBvM3EiRO5desWmzZtYtmyZfTr1w9bW1v69+/P66+/ztWrV4mIiODjjz9myJAhAAwcOJBPPvmEU6dOkZiYyPjx4xkwYIA0xxZCCEvEHC4b8zNnp34/iD8B0butHYkQZY4kzUIIUQoppfj666+pVKkS5cuXZ9y4cUybNo0ePXoA4O/vT/ny5QkMDGTw4MF88803hIYazQU///xzXFxcqFq1Km3atGHQoEE8/vjjADz++OMMHTqU+++/nypVquDo6Mjnn39utfMUQogyIyUJLh4vW4OAZVSnJ9jay4BgQhSADARmARkITAhRmmzYsIEhQ4ZIc2ohhChJ5w/CN62h7/+gXh9rR1MwC4ZA5DZ4KRxspYWREBnJQGBCCCGEEEIURmyY8VxWm2eDMWfztQtwaoO1IxGiTJGkWQghhBBCiLzEHgKbcuBVhqdsqtEZHDxgv4yiLUR+SNIshBBlTLt27aRpthBClLTYMPCuAXb21o6k4Mo5Qt2eEL4Mbl2zdjRClBmSNAshhBBCCJGX2MKNnH0zOZVf90SRkppWhEEVQP3+cCsRjqy0bhxClCGSNAshhBBCCJGbpKuQEFmokbN/3xfNmAV7+WztsSIMrACCW4N7RRlFW4h8kKRZCCGEEEKI3MSGG8+FqGnedvIiAF+sP86OU/FFEVXB2NgYo3+fWAvXLlovDiHKEEmahRBCCCGEyE3sYePZr2BJs9aa7SfjaVvTh0rlnXlxwV4u30guwgDzqcEASEuBQ79YLwYhyhBJmoUQQgghhMhNbBiUcwGPygXa/eylG0Ql3KBjbV+mPdKI81du8uZvB4s4yHzwr2fUmksTbSEsIkmzEEIIIYQQuYk9BL6hRtPmAthqaprdomoFmlQuzwsdavDb3mh+3RNVlFHmT/1+cHYHxJ+yXgxClBGSNAshhBBCCJGb2LBCDQK27eRFKrjYU93XFYBnH6hOs5DyTPj1IGfirxdVlPlTv6/xfGCxdY4vRBkiSbMQQgghhBA5SbwA1y6Ab90C7Z7en7lF1QoopQCwtVF83L8RChizYK91pqHyrGyMpH1gIWhd8scXogyRpFkIIYQQQoicpA8CVsCa5vT+zC2qemVaHuTlzLu96/FPxCW+XH+isFEWTP1+EHcUzu21zvGFKCMkaRZCCCGEECInsWHGcwGnm8rYnzmrno0q0qtRIJ+tO8Y/EZcKHGKB1ekJNuVg/6KSP7YQZYgkzUIIIYQQQuQk9jA4VwBX3wLtnrU/c1Zv96pHgIcjYxbs4erNEp6GytkLanSGgz9DWmrJHluIMqRMJc1Kqf9TSq1TSp1XSiUppc4qpRYqpfL86U8p9ahSSiulqpdErEIIIYQQ4g4QG2bUMpv6I+dHdv2Zs3J3LMe0AY2IunSDib8fKmy0+degPySeh1N/lfyxhSgjylTSDHgB/wCjgc7Aa0BdYJtSKtiagQkhhBBCiDuM1oUaOTun/sxZNQ3xYnT7GvyyO4rf90UX6FgFVvNBcHCXOZuFyEWZSpq11vO01v/RWi/WWm/UWv8EPAy4AX2tHJ4QQgghhLiTXD4Dt64WOGnOrT9zVs+3r07jyp68vuQAUQk3CnS8AinnCLV7QNhSSC7B4wpRhpSppDkHF03PKfndUSnVVCkVo5T6RSnlWMRxCSGEEEKIssw8CFjBppvKqz9zRna2Nnw6oDFpaZoXF+wlNa0Ep4Fq0M/4ceDIypI7phBlSJlMmpVStkope6VUDeBb4DwwL59ldAbWA0uAflrrm0UfqRBCCCGEKLNiTH2MfUPzvasl/ZmzqlzBmbd71mPHqXi+2ViC01CF3Aeu/nBARtEWIjtlMmkGtgNJwFGgAdBeax1r6c5KqcHAMuBjrfVTWmsZLlAIIYQQQmQWGwbulcDRI9+7WtqfOauHm1SkW4MAPll9lL1nEvJ93AKxsYX6feHYargeXzLHFKIMKatJ81CgBTAIuAKsVkqFWLjvGGAm8ILWemJOGymlnlRK7VJK7bpw4ULhohVCCCGEEGVPbBj4Ff38zLlRSvFer/r4ujkwZv4eriXluwdiwTToD2nJcGhJyRxPiDKkTCbNWuswrfV2rfU8oAPgCrxq4e6PAFHAz3kc4zutdVOtdVMfH5/CBSyEEEIIIcqW1BSIO1LgQcDy0585Kw/ncnwyoBER8dd5e+nhAh0/3/wbgHctaaItRDbKZNKckdY6ATgOWDr/ch+Mpt0blFL+xRWXEEIIIYQow+JPQOotY47mfCpIf+asmletwDPtqrFg1xlWHjhXoDLyRSljQLDIrZAQWfzHE6IMKfNJs1LKDwgFLB0tIQpoh3Hu65VSAcUUmhBCCCGEKKtiTTW8BahpTu/P3Dyf/ZmzGtOxJg0qefDqLwc4d7kEpoOq3894ltpmITIpU0mzUmqJUuoNpVRPpdQDSqlRwEaM6aamWlqO1vocRuKsMRLnwGIJWAghhBBClE2xYaBsjCbL+VTQ/sxZlbO14dNHGpOcmsZLC/aRVtzTUJUPgaAWsH8h6BKc8kqIUq5MJc3ANqAX8COwHHgJI2lupLU+mp+CtNbnMRLnZIym2hWLNFIhhBBCCFF2xRwCr2pQzjHfu247eREvF3tqFKA/c1ZVvF2Y1L0uW09e5PtNJwtdXp4a9IML4XD+QPEfS4gyokwlzVrrKVrre7TWnlprZ611La31KK31aQv2nam1Vlrr4xmWxWqt62uta2qto4o1eCGEEEIIUXbEhhWoafa//Zm9CtyfOat+TSvRpZ4/H606wsGoy0VSZo7q9AYbOziwsHiPI0QZUqaSZiGEEEIIIYpd8g2IPwl+dfO967/zMxeuaXZGSinef7g+FVwceH7+Hq7fKsZpqFwqQPVOcOBnSEstvuMIUYZI0iyEEEIIIURGF44AukA1zUXVnzkrT2d7Pu7fkFNx13h3eViRln2bBv3gajSc3ly8xxGijJCkWQghhBBCiIzMI2fnf7qpouzPnFWr6t48eX9V5m6PZNWh80VevlnNLmDvKk20hTCRpFkIIYQQQoiMYg+DrQOUr5Kv3YqjP3NWYzvVol5Fd175eT+xV24WyzGwd4ba3eHw75BcTMcQogyRpFkIIYQQQoiMYsPApxbY2uVrt+Loz5yVvZ0N0wY05kZyKmMXFeM0VA36Q9IVOPZn8ZQvRBkiSbMQQgghhBAZxRwuUNPs4urPnFV1X1fe6FaHTcfi+N+WU8VzkCptwdXPmLNZiLucJM1CCCGEEEKku3HJGASrAIOAFWd/5qwG3VuZTnX8+PCPIxyOvlL0B7CxhXp94Ngq45oIcReTpFkIIYQQQoh0seHGcz6nmyqJ/swZKaWY0qcBHs7leGH+Hm4mF8P0UPX7QeotOPxb0ZctRBkiSbMQQgghhBDpzCNn56+muST6M2fl5WLP1H4NORabyOQVxTANVWBjqFAD9i8q+rKFKEMkaRbibpaaDLeuWzsKIYQQovSIPQwO7uBeMV+7lVR/5qzur+nDiDZVmLU1grVhMUVbuFLGgGARmyHhTNGWLUQZIkmzEHera3HwVQuYN8DakQghhBClR2yYUcuczybWJdmfOauXH6xFqL8bLy/ez4WrSUVbeP2+xvPBxUVbrhBliCTNQtyNbl2HeY/AxeNw6i+4HGXtiIQQQgjr09qoac7nyNkl3Z85Kwc7Wz4b2JjEpBT+s3gfWhfhNFReVaFSM2miLe5qkjQLcbdJS4Wfn4Czu6DDRGNZ2FLrxiSEEEKUBlfPGyNF5zNptkZ/5qxq+rnx+kO12XDkAj/+fbpoC28wAGIPQcyhoi1XiDJCkmYh7iZaw8pX4Mhy6DIF7nsJfGpD2O/WjkwIIYSwvgIOAmat/sxZDW0RTPtQXyavDOfI+atFV3Dd3qBsZc5mcdeys3YAQogS9PdnsPN7aPUcNB9lLKvTAzZ+CImx4Opr3fiEEEIIa4o1jUCdz5pma/ZnzkgpxYd9G/DgtL94Yf4efn22NY7lbAtfsIs3VO8AW6bBtq/Axs5Iom3SH+mv7cDGJo/Xpn0yvbYDZZPldXblZ3idrxhM2wS1AI/8DfAmBEjSLMTd48BiWP0m1H0YOr797/LaPWDjFAhfBk0ft158QgghhLXFhoGrH7hYXmNs7f7MWXm7OvDffg157IedfPjHEd7snr8fAHLU+T0IaAhpKaZHmvGsU02vU42H+XV2y0yvU5Mh7YbpdQrotAzr08tMzeN1Sv7PoVIzeGJN0VwPcVeRpFmIu8GpTfDr0xDcGnp/Y/wCm86vrjHIx+HfJWkWQghxd4s9VOD5mUe1rVpMQeXfA7V8ebRVCP/bcoq2tXxoW9On8IX61IT2EwpfTlHKM3HPkJQfWAwbJkP0XghsZO3IRRkjfZqFuNPFhsH8wVC+CjwyB+wcMq9XyqhtPvUXXI+3ToxCCCGEtaWlQWx4vptml5b+zFm92iWUWn5ujFu0j4uJRTwNVWlhYwN29lDOCRzcwMnTaCXg6gvugeAZBF5VoEI1o1taOWfYOd3aUYsySJJmIe5kV87B7L5QzhGGLAan8tlvV6eH8avskRUlG58QQghRWiSchpQbZbY/c1aO5Wz5dGAjLt9I5pWf9xftNFRlkZMnNOhv1DjfuGTtaEQZI0mzEHeqm1dgTj+4mQCDF4Fn5Zy3DWwCHkFGE20hhBDibhSTPnK25UlzaevPnFWovzuvPhjKmrBY5myPtHY41tfsCeOHkb1zrR2JKGMkaRbiTpRyCxYOhQth0H+WMXBHbpSC2t3h5Hoj2RZCCCHuNukjZ/vUsniX0jA/c14ebRXC/TV9eHf5YY7HFuE0VGWRf31jBO2d043m+EJYSJJmIe40WsPS5+HkBuj+mTFFhCXq9ITUW3D0z2INTwghhCiVYg9D+RBwsLyZdWntz5yRjY3io74NcLa34/l5e0lKSbV2SNbV7AmIPwkn11k7ElGGSNIsxJ1m/WTYNw/ajYfGgy3fr9K94OoPYb8VX2xCCCFEaRUbdsf0Z87K192RD/s04PC5K0xdddTa4VhXnR7g4gM7Z1g7ElGGSNIsxJ3kn5nw14fQeCi0fTl/+9rYQO1ucGwN3LpWLOEJIYQQpVLKLbh4LF/TTZX2/sxZdazjx5AWlfnur5NsPhZn7XCsx84BmgyDo39AgvTzFpaRpFmIO8XRVbDsJajeEbp9YvRTzq/aPYwBMo6vKfr4hBBCiNLq4jFjPt981DSXhf7MWb3etQ7VfFwYu2gvl67dsnY41nPPY8bzrh+sG4coMyRpFuJOELUbFg0H/3rQ70ewLVewcoJbg5OXjKIthBDi7pI+CFg+kuay0J85Kyd7Wz59pDHx127x6i938TRUnkFQswvsngUpd+gc1qJISdIsRFl36TTM7Q/O3jBoUb4GMLmNrR2EPmQ0WUq+WWQhCiGEEKVazCGwsYMK1S3epaz0Z86qXkUPXv6/UP48FMOCnWesHY713PsEXI+DwzKWi8ibJM1ClGXX42F2X0hNhiGLwc2v8GXW6Qm3Eo3pp4QQQoi7QWwYVKgBdvYWbV7W+jNnNaJNFVpXr8BbSw9z8kKitcOxjirtwKsa7Pje2pGIMkCSZiHKquQbMO8RYxCLgfPzNa9krqq0BQcPaaIthBDi7hF7GPzu7P7MGdnYKKb2a4RDORtemL+XWyl34ZzFNjbG9FNnd8C5fdaORpRykjQLURalpcIvT8KZHfDwtxDcsujKtrOHWl3gyAqjBlsIIYS4kyUlQkJEvkbOLov9mbPy93Dkg4cbcCDqMtPW3KXTUDUaBHZOsHO6tSMRpZwkzUKURasmQNjv8H/vQd3eRV9+nR5wMwFO/VX0ZQshhBClyYVw4zkfg4CV1f7MWT1Yz5+B9wbx9cYTbD1x0drhlDwnT2jQD/YvghsJ1o5GlGKSNAtR1mz9ErZ9BS2egZbPFs8xqrWHci5GYi6EEELcyWIPG88W1jSX9f7MWb3RrQ5VKrjw0sK9XL5+F7YwazbSmG5z71xrRyJKMUmahShLDi2BP8cb8yl3fq/4jlPOCWp2hvDlRlNwIYQQ4k4VGwblnMEzxKLNy3p/5qyc7e2Y9kgjLlxNYvySA3ffNFQBDaDSvUYT7bS7sG+3sIgkzUKUFRF/wy+jIKgFPPydMYBFcardA65dgMitxXscIYQQwppiDoFPqMX/r94J/ZmzalDJk5c612T5gXP8vDvK2uGUvHtHQvwJOLXB2pGIUkqSZiHKggtHYN5A8KwMA+cZNcHFrUZnsHOU+QuFEELc2WLD7sr+zFmNur8aLap6MfG3g5yOu2btcEpWnZ7g7A07ZEAwkT1JmoUo7a7GGHMx25Yz5mJ29iqZ4zq4QrUOELZUmisJIYS4M12Lg2uxFk83daf1Z87I1kbxcf9G2NooxizYS3LqXfR/v50DNBkGR1dCwhlrRyNKIUmahSjNkq7C3H5w/SIMWgjlQ0r2+HV6wNVzELWrZI8rhBBClITYMOPZwkHA7rT+zFkFejrx/sMN2Hsmgc/XHrN2OCWr6WPG8z8/WDcOUSpJ0ixEaZWaDIsehfMHod9MqNik5GOo+SDYlJMm2kIIIe5M5pGzLatpvhP7M2f1UIMA+t5TiS/WH2fn6Xhrh1NyPCsb33t2z4KUJGtHI0oZSZqFKI20hmUvwvE10O1jYyRra3DyhKrtjKmn7rbRNIUQQtz5Yg+DU3lw9bNo8zu1P3NWk3rUJcjLmTHz93L5xl00DVWzEcYgqIdlyk2RmSTNQpRGGz+EPT/B/S/DPY9aN5Y6PSAhEs7ts24cQgghRFGLDQPfumBB/+Q7uT9zVq4Odkwb0IjzV27y5m8HrR1OyanaHryqGtNPCZGBJM1ClDZ7ZsOGydBwEDww3trRQK2HQNkatc1CCCHEnUJrU9Is/Zmz07hyecZ0qMFve6P5dc9dMg2VjQ00ewLObIPzB6wdjShFJGkWojQ5vgaWvgBVH4Dun1r0y3exc6kAIa2NpkrSRFsIIcSd4vJZSLpicdK87S7oz5zVMw9Up1lIed749SBn4q9bO5yS0WgQ2DlJbbPIRJJmIUqLc/tg4XDwqQ39Z4GdvbUj+lftHnDxGFwIt3YkQgghRNFIHznbr65Fm287GX9X9GfOyNZG8cmARgCMWbCXlLthGiqn8lC/L+xfCDcSrB2NKCUkaRaiNEiIhDn9wdETBi8ER3drR5RZ7e6AklG0hRBC3DnSR872CbVo820nL94V/ZmzqlTemXd71+OfiEtM+SOcqzfvgoHBmj0Byddh3zxrRyJKCUmahbC2G5dgdl9IvgFDFoN7oLUjup2bPwQ1l9EkhRBC3DliD4N7RWOmiDycib9+V/Vnzqpno4r0vacS3286RZN3VjN4+jZmbD7F6bhr1g6teAQ2gkrNjCba0jVNIEmzENaVkgTzB8OlU/DIHIv7VVlFnZ4QewgunrB2JEIIIUThxR6W/sz58GGfBix6qiUj2lTlwtUk3ll2mHYfbaD9Rxt4d9lh/j4RR/Kd1Hy72RNw8Tic3GDtSEQpYGftAIS4a6WlwZKnIGIL9JkBVe6zdkS5q90d/nzNaKJ930vWjkYIIYQouNQUuHDUGHjTAndjf+asbGwUzUK8aBbixatdQjkTf5114bGsC49l1tYIpm8+hZuDHffX9KF9qC/tavlQwdXB2mEXXJ1e8Od4o7a5mmX3ibhz5Zg0K6XWATOBn7XWd2jbCyGsaM2bcOgX6PS2MeBEaecZBIFNjKmnJGkWQghRlsWfhNQk8K1j0eZ3a3/m3AR5OTO8VQjDW4VwLSmFLcfjzEn08gPnUAoaB3nSobYf7UN9CfV3K1vXr5wjNB4Kf39mjLTuUcnaEQkryq15djWMpPm8UupHpVT7kglJiLvA9m/h78+h2Uho9by1o7FcnR4QvccYuEwIIYQoq9IHAbOgefbd3p/ZEi4OdnSu688HfRqw7bUOLB3dhjEdapKapvnvn0fo8ukmWn2wjteXHGBdeAw3k1OtHbJlmj5u9Gn+Z6a1IxFWlmNNs9Y6WCn1ADAMeBgYopSKAn4CZmmtj5RQjELcWcKWwspXoNZD0GVK6ZiL2VK1e8CaScY5tHzW2tEIIYQQBRMbBsoGfGrluan0Z84fGxtF/Uoe1K/kwQsdaxB79SYbwi+wNjyGX/dEMWd7JI7lbGhVzZv2ob60D/Ul0NPJ2mFnr3ww1Pw/+OdHuP/l0jUdqChRufZp1lqvB9YrpZ4BemMk0C8DryqldmHURM/XWl8q7kCFuCNEboefn4BKTaHPdLCxtXZE+VOhGvjVM0bRlqRZCCFEWRV7GLyqQrm8kzXpz1w4vm6O9G8WRP9mQSSlpLLjVDxrw2JZGx7DuvBYAGoHuNMh1JcHQn1pFOSJrU0pqlBoNhKO9jG6p5WF7nSiWCidz2HUlVL+wBDTowGQBCzXWt+xd1HTpk31rl27rB2GKOvijsOMTsbUFiNWg4u3tSMqmA1TYMNkeCkc3AOsHY0QQgiRf5/fYzTNHjA7z01bf7COhkEefDX4nhII7O6htebEhUTWhhn9oHdFXCI1TePlYk+7Wj50CPXjvpreuDuWs26gaWnweRNj+s3H/7BuLKJYKaX+0Vo3zW5dvqec0lqf11p/BLQGPgbsMWqhhRA5SYyF2Q8bTcGG/Fx2E2Yw+jUDhC+zbhxCCCFEQSTfMAYCs2AQsKLszxwffY2Fk3dy+cL1Qpd1J1BKUd3XjVFtq7FgVEt2T+jEZwMbc38Nb9aFx/Ls3N00eXs1A7/bxvRNJzl5IdE6gdrYQLMRELkVzh+0TgzC6vKVNCtDR6XULOA88BJwDHijOIIT4o5w6xrM7W8kzoMWGs3ByjKfUPCuaUw9JYQQQpQ1cUdBp1mUNBdlf+YTe2K5EHmVLYuPF7qsO5GHczl6NAxk2iON2fV6RxY/1ZKR91cl/tot3l0eRvupG3ngow28s+wwW47HcSulBOeEbjQY7ByN6afEXcmieZqVUvWAocAgIBC4DMwGftRabyu+8IQo41JTYPHjcG4fDJgDle6Apl1KGQOCbf4YrsWV7VpzIYQQd5+Y9JGzLUmai64/87njCaDg1L44zhyOJ6iOV6HLvFPZ2drQNMSLpiFevPKgMSf0+iNGM+6ftkUwY/MpXB3suL+mN+1D/WhXywfv4pwT2tkL6vWF/Quh01vg6FF8xxKlUm7zNPthJMnDMPoupwF/YtQu/661TiqRCIUoq7SGFWPh6B/w0McQ2tXaERWdOj1g00cQvhzuGW7taIQQQgjLxR4GWweLWn4V1fzMaalpnDt5hdqtAog6msCmRccYMKEZtrb57il5VwrycmZYyxCGtQzh+q0Uthy/yDrTQGIrDpxHKWhYyZMOob60r+1LnQD3op8T+t4nYO9s2Dcfmo8q2rJFqZdbTfNZwBY4APwHmKO1jimRqIS4E2yaaszr1+ZFoy/MncS/AXgGGyNJStIshBCiLIkNA5+aYJt7g8v0/syj2ha+W9WFM4mkJKUSVNuLKg28WfH1AQ5ujKJh+6BCl323cba3o1MdPzrV8UNrzaHoK6wLj2VteCxTVx9l6uqj+Ls70r62L+1r+dK6ujdO9kUwW0lgY6h4j9FE+94ny9aUoaLQcvtr8QVG8+u9eRWilOqptZYOjkKk2zcf1r0D9ftD+zetHU3RU8qobd72DdxIMEYEF0IIIcqC2DAIaZ3nZkXZn/nc8QQAAqt74uxhT1Dt8uxcdoqa9/rh5Cpz/xaUUop6FT2oV9GD5zuY5oQ+coH14bH8tieKudsjcbCzoVW1CrSv7UePBoF4OBdiNO5mI+HXp+DUX1C1bdGdiCj1cmwTorV+Ma+EWSnVRym1B/ilqAMTosw6sR5+exZC7oOeXxqjLt6JaveEtGSj+bkQQghRFtxIgCtnjemm8lCU/ZmjjyXg7uOEi6cDSina9KvJrZup7Pj9VKHLFv/ydXOkf9Mgvh5yD7vf7MTsEc0Z1LwyJy5c441fDzL0f9tJTcvfdLuZ1O0NTl6w8/uiC1qUCbl+m1dKvaiUOqyUSlRK7VNKdTctv18ptQ9YCFQAniqBWIUo/c4fhAVDjdGlB8wGuzv41+OK94BboIyiLYQQouy4EG48WzhydlH0Z9ZpmnPHLxNY/d/Bo7wCXajftiKHNkURd/ZqocoX2XOws6VNDW8mdq/Lxv+04799G7D/7GXm74wseKHlHKHJUAhfAZejii5YUerlmDQrpcYBUwEFLANuAD8rpcYC6zBG0R4DVNday88tQlw+C3P6gYMbDF505zdZtrGB2t3h+FpIkv/whRBClAGxlo2cXaTzM5+/xs1ryQRU98y0vFm3Kjg4l2PzwmNoXYjaT5EnpRR976lE8ype/PfPI8Rfu1Xwwpo+bkxZ9s/MIotPlH651TQ/hlGTXEdr/YjWugUwEfgQ2AOEaq0/11oX4q4T4g5xI8FImG8lGgmzRyVrR1Qy6vSE1CQ4tsrakQghhBB5izkM9m55/j9dtP2ZLwMQWN2D8Phw83JHl3I071mVqKMJnNh9odDHEblTSvF2z3pcvZnCf/8Mz3uHnJQPgRqdYfePkCJp0N0it6S5GjBTZ/7p63uMmud3tNYXizUyIcqKlFuwYAjEHYUBP4F/PWtHVHIqtwAXHzj8u7UjEUIIIfIWG2b0Z86jyXVR92d2drdn6/VN9Fvajz9P/2leV6dNIBUquvL3z8dJuZVa6GOJ3NXyd+PRViHM33mGfWcSCl7QvSMhMQbClxZZbKJ0yy1ptgfisyy7ZHqWRvxCAKSlGYN+nd5kDPpVtZ21IypZNrYQ2g2OrYbkG9aORgghhMiZ1kbzbL8S7M+sNeeOJxBYw5P1Z9YB8PGuj7mZchMAGxvFff1rcDX+JntWF6KvrbDYmI418HZ14M3fDpJW0EHBqnUwapx3zijS2ETpldewvjZKKfMDY95mAJVxuWmdEHefHd/BgYXQ/g1o+Ii1o7GOOj0g+ZrRt1kIIYQorRJj4UZ8ifZnvnrxJomXkvCr5sbmqM3ULF+T6GvR/HjoR/M2FWuVp1oTH3b/EcHV+JuFPqbInZtjOV7vWpt9Zy+zYNeZghViYwNNR0DEFog5VLQBilIpr2R3C5Cc4ZFelbQ9y3Jp0C/uPilJsPkTY2qp+8ZaOxrrCbkPHD0hTJpoCyGEKMViTclNHtNNpfdnbl6l8ElztGl+5ite57l66ypPNXyKTsGdmHFwBjHXYszbtXq4OhrYuuREoY8p8tazUSD3VvHiwz/CSbhewDSm8RCwc5Ta5ruEXS7r3iqxKIQoi/bNh8Tz0PubPPtG3dFsy0HoQxC2zPghwc7B2hEJIYQQt4sNM57zqGkuyv7M544l4OBsx67kLdjZ2NEyoCW1vWqz8cxGpu2exvv3vQ+Au7cTjTtVZteK09RrW5HALCNti6JlDApWl4c+28x//zzCe73r578QZy+o1wf2L4COk8DRvcjjFKVHjjXNWuu38vOw5GBKqb5KqZ+VUhFKqRtKqSNKqfeVUm4W7q9zeDSycN93LTmOEHlKS4Utn0JAo7uvH3N2aveApMtwcqO1IxFCCCGyF3sYXHzBxTvXzbadvEjzKl7Y2BT+B/Ho45fxr+bBX1F/8WBKKDE9+uF7MYXhdYez7OQy9l3YZ962yf8F41regc0LjxW8r62wWKi/O8NaBjN3RyT7zyYUrJBmI4yZU/bNL9LYROmTa/NspZSbUsoxl/WOlia8JuOAVGA88CDwNfA0sDof/aJnAi2zPI7mIwYhCi/sd4g/AW1evLtrmdNVe8CYwiPsN2tHIoQQQmQv5nCeTbOLsj/z9Su3SIi5jnMQnLh8gk7HnLl1+jQXPvucJ+o/gY+TD1N2TCFNpwFQzsGWlg9X40LkVcK3niv08UXeXuxUkwouDrz526GC/VBR8R4IbAI7pxsDzYk7Vo6JqlKqHcZo2W1y2b8NcEkp1crC43XXWvfXWs/RWm/UWk8DngeaA+0sLCNKa70ty+O6hfsKUXhaw6aPoUJ1qN3d2tGUDnYOUOtBCF8BqSnWjkYIIYTILC0NLoRb0DS7KOdnTgDgjOsRACoeNuZivrJyJTYnzzLmnjEciDvA8pPLzfvUaOpHQDUPtv16gqQb8v9pcXN3LMdrXULZeyaBRf8UcFCwZk9A3BFjJhVxx8qtdncUsFRrvSanDUzrfgWeteRgWuvsZm7faXquaEkZRUUp5ayUWqqUOqeUaliSxxZl3Il1cH4/tH7BmHJJGGr3MEYljdhs7UiEEEKIzBIiIPl6ntNNFfX8zHblbNiavJ66dpVJO3Icr+HDsHFxIe6Lz+lWtRv1vevzyT+fcD3ZqP9RStGmfw1uJCaza/mpQscg8vZwk4o0CynPlD+OFGxQsHoPg1N5o7ZZ3LFyS5rbAAstKGMxcF8hYmhreg6zcPunlVJJSqnrSql1Sql8H1sp5QWsAWoBrbTW+/LYRYh/bf4E3AKhwQBrR1K6VO8I5ZzhsIyiLYQQopSJPWw8W1DTXHT9mRPwDnFlR+x2ul8KAa1x79IFr0cf5erqNSQdCuOVe1/hwo0LTD/wb8LlG+xO7VYB7F93lkvnrxU6DpE7pRRv9ahHwvVbTF1VgB6f5ZyMkbTDlsGV6KIPUJQKuSXNfoAl7RTOmrbNN6VUReBtYI3WepcFu8wGngE6Ak8CFYB1pqbklh6zMsZUWuWA1lpr+RlPWO7sLqP5TctnZZTorOydjcQ5fJnRDE4IIYQoLdKTZp9aOW5SlP2Zk26kEHc2kWS/yySnJVP/ZCo2bm441quH1/Bh2Hp4cOHzz2jo05BuVbvx46EfOXv1rHn/Fj2rYWdvw5bFxwsdi8hbnUB3hrUMYc72CA5GXc5/AU0fB50G//yY97aiTMotab4CeFlQhheQmN8DK6Vcgd+AFOAxS/bRWg/VWi/QWm/SWs/GqA2PBiwdFbsO8DfGjwEP5NBcPD2+J5VSu5RSuy5cyHEzcbfZ/IkxJ/E9w60dSelUpyckxsCZ7daORAghhPhXbBh4VgaHnMevLcr+zOdPXAYNxx334WbnitOeo7i0aIGys8PWzQ2vJ0ZwbeNfXN+9hzFNxmBrY8vH/3xs3t/Z3Z6mD1Uh4uBFTh+IK3Q8Im8vdqqJl4s9b/x2MP+DgnlVNSoO/pkJqcnFEp+wrtyS5r1ANwvK6A7syc9BlVJOwFKgKvB/WuuzeeySLa31VWA50MzCXe7H6Ds9Q2uda6Kvtf5Oa91Ua93Ux8enIOGJO01suFGL2nxUrv/plkZaaxKTUoi8eJ09kZdYGxbDwl1n+GbjCbaeuFh0B6rRGWztjdHFhRBCiNIiNgx86+a6SVH3Z7axUay/tZIu5RqRcu4cLq3/HTfXa/BgbCtU4MJnn+Hn4seIeiNYHbGaned3mrdp8EAlPP2c2bL4OKkp0oKruHk4leOVB0PZE5nA4t0FSE3uHQmJ543viuKOY5fLuh+AH5RSK7TWv2a3gVLqYWA48KilB1RKlcPoB90U6KS1PmBxtDmz9OegbwEP4CelVIrW+uciOLa4W2z51Oize+8oa0eC1porN1K4eC2J+Gu3uHjtFvGmx8XEW8RfS8q87NotbuXwH66bgx1rx7XF1y3H2eUs5+gO1dob/Zr/b7JMxyWEEML6Um5B3FGo+WCumxVlf+ZzxxNwCbQlNvk8bWPvAcCldWvzehtnZ7yfHEnM+x9wbdt2hjcdzi/HfmHKjiks6LYAWxtbbO1saN23Osu/3M+BDWdp1LFyoeMSuevTpBLzdkQyZWU4/1fHHw/ncpbvXL0jeAbDjulQt3fxBSmsIsekWWs9RynVC/hZKbUMo2Y4wrQ6GKOGuRuwWGs915KDmeZingO0B7pprbcVInaUUu6mGHZYuIvWWo9WSqUA85VSg7TWiwoTg7hLJJyBAwuh2UhwKXyzrazS0jQJN5KNZDfx1u2J8LVb5nUXr93i0rVbpOTQdMjZ3pYKrvZ4uTjg5+5I7QB3KrjY42V6pK+r4GLP1Zsp9PpyCx+sCOfjAY2K5mTq9ISjf0DUbqh0T9GUKYQQQhTUxeOQlpLrIGDp/ZmfvL9qoQ+XciuVmIgrpNWNw0bZUCn8ImlBQdgHBWXazvORR7j4vx+48NlnBM+ZzUtNX2LcxnH8cvwX+tXsB0BIfW+C61Vg57JT1LzXH2d3+0LHJ3JmY6N4u2c9enyxmY9XH+GtnvXysbOt0bd5zURTy4bc5wQXZUtuNc0AA4DxwEsYSXL6t3QFJABvAu/n43hfAv2A94BrSqkWGdadTW+mrZQKBk4Ab2ut3zYtG4cx2vV6jH7MwcA4wB8YnI8Y0FqPUUqlAnOVUjZa6wX52V/chbZ+YTy3tGh2NVJS04i/bkp6E/9NgNOT339rhI3Hpeu3yKn7jJujnTnprVTemYaVPPFytc+cCLs4mJc5lsvfNFhP3FeFrzacYGDzyjQLsWQYgzzU6gI2dhD2myTNQgghrC99ELBcppsqyv7MMaevkJaiOVhuB4296pO8cw/u3W7v8Wjj4ID3009xftJbXNu8mc5tOtPEtwmf7/6c/wv5P9zt3QFo3bc689/ewfbfTvDAUEnEilu9ih4MaRHMT9si6N8siLqBHpbv3HgorJ9sTD/10NTiC1KUuFyTZq11GvCuUmoKRnPq9J/IzgC7tNb57enexfT8uumR0VvAJNO/FWBL5j7XR4DepocHxkBlW4ARWmtLa5rNtNZjTTXOc0yJ87z8liHuEtcuGqMh1u8Pnpl/JT4Tf51v/zrBhauZm0knXM/+o6EUeDqVMye61XxcaVYlmwTYVCNc3tkee7vchh4ovNHtq/Prnije+PUgy55rg51tIY/nVB6q3G800e74ljTRFkIIYV2xh40fcyvUyHGTouzPfO54AgA7+Yv/XO9C2rV/MvVnzsjz4Ye5+P10Lnz6GS5t2vDqva8yYNkAvt33Lf9p9h8Ayvu7UL99JfatPUPd+yviG+xe6BhF7sZ2qsXy/eeY+NshFo5qaXmTfZcKxrzN++ZDh4lGtzVxR8irphkAU3K81fQoMK11iIXbncZInDMuW4rRRLygx77tbtdavwK8UtAyxV1i+zeQcgPajLlt1Wu/HGDH6XiqVHDBy8U+U1No49khQ5NoezydyhU+KS1izvZ2TOhWh2fm7GbO9kiGtwopfKG1e8CyMRBzEPzrF748IYQQoqBiw6BCdbDLuWlzkc7PfCwBO+8Ukspdp+FphbaxwaVFi2y3Vfb2eD/zDOdef53Edeuo3aEDD9d4mLlhc+lbsy9VPKoA0OyhKhzdfp7NC4/Re1wTlPwgXaw8nI1BwV7+eT+/7Imi7z2VLN+52UjYNw/2LzAGBxN3hNL17V2I0ibpKuz4DkK73Ta34z8R8Ww+Hsd/OtfizxfvZ96TLfhyUBPe7lmPMR1rMrRlCA81CKBltQrU9HPD29Wh1CXM6brU86dNdW8+WnWEuMSkwhcY2g2UjVHbLIQQQlhT7OFc+5cW5fzMaalpnDt5hQsekQS6BOLwTxhO9etj655zjaNHzx7YBwdz4dPP0GlpjG48Gkc7Rz7a9ZF5GwcnO1r0rMa5E5c5viu20HGKvPW9pxKNgjz5YGUYl2/ko3FtxSYQ0Mhooq3zOXWVKLVK5zd4IUqLf36EmwnQ5sXbVn229jgVXOwZ3KLsj2aplGJSj7rcTE5lysrwwhfo6gOVW8nUU0IIIazr1jW4dDrX6aaKsj/zhTOJpCSlst9uGx3Kt+DmgQM5Ns1Op+zs8H7uOZKOHuXqH3/g7eTNqAaj+OvsX2yO2mzeLrRVAD6V3fj7l+MkJ6UWOlaROxsbxTs963Hx2i0+WX3U8h2VMmqYL4RDxJbiC1CUKEmahchJSpIxAFjIfVCpaaZVe88ksPHoBUbeXxVne4t6OZR61X1debxNFRb9c5Z/Ii4VvsA6PYz/MC7k4z8aIYQQoijFmn4IzqWmuTj6M0e6hNPuQgVIS8OlVe5JM4B71y441KjOhc+/QKekMLj2YILdg/lw54ckpxm1nDY2ijb9a5B4KYndqyLyKFEUhfqVPBjcvDKztp4m7NwVy3es+zA4esKO74stNlGyJGkWIif7F8DVcznUMh+jvHM5hrYItkJgxef59jXwd3dk4u8HSc1pOG9L1e5uPIf9VvjAhBBCiIJIHzk716S5aPszp7rdJM3lFoFhcdg4O+PUsGGe+ykbG7yfe45bp05xedkyytmWY1zTcZy6fIoF4f9O8hJY3ZMazfzYsyqSKxdvFDpekbdxnWvh4VSON387iLa0ubW9MzQeAuHL4Mq54g1QlAhJmoXITloqbJ4GAQ2hWvtMq/afTWBdeCxP3FcVF4c7o5Y5nYuDHa8/VJuDUVeYuyOycIW5B0Kle+GwJM1CCCGsJDYM7JygfJVsVxdlf2adpjl3/DJRrsdoEdCCm1u349y8OapcOYv2d+vUCYc6tYn74kt0cjJtK7WlVWArvtr3FZdu/tsCrGXvaijg759PFDpmkTdPZ3teeTCUnacv8eveKMt3bPq4MT/47h+LLzhRYvKVNCul/JVS9yql7s/6KK4AhbCKsKUQf8KoZc4yQuVna4/j4VSOYS3vrFrmdN0aBNCyagU++vMI8dduFa6wOj3g/AGIP1U0wQkhhBD5EXsIfEPBJvuvvEXZn/nS+evcvJbMCecDdLSrT3JkpEVNs9MppfB5/nmSz54l4ZclKKV4udnLXE++zpd7vzRv5+blSJMHgzmxO5aoI0XQnUrkqX/TIBoGefLe8nCu3LRwULAK1aB6R/hnJqTmd5ZeUdpYlDQrpSoqpdYBURjTTq3P8NhgehbizqA1bP4EvKoZUydlcDDqMmvCYhjRpgpujpb9clzWKKV4q2ddriWl8OEfhRwUzNxEWwYEE0IIYQWxYeBbJ8fVRdmfOdrUn/mc2wkanTZ+cHdp3TpfZbi2bYtTw4bEff01aUlJVPOsxoBaA1h0dBFHL/07RkjjTpVx83Jk08JjpBW2O5XIkzEoWF0uXkti2upjlu/YbKTR1S98efEFJ0qEpTXNXwP1gZeBLkD7DI8HTM9C3BlOrodze6H1C2Bjm2nV5+uO4eZoVzRzGZdiNf3ceLRVCAt2nWHvmYSCF1Q+xGjiLlNPCSGEKGnXLkJiTIn2Z77lcJ2KgT7Y7NyPXUAA9lVC8lWGUgqfMS+Qcv48CQsXAfBMo2dws3fjwx0fmvvU2tnb0qpPdS5GJXJ4c3ShYxd5a1DJk0eaVebHracJP2/hoGA1OoFHZWP6KVGmWZo03we8pLWeqrVepbXemPVRnEEKUaI2fwJuAdDwkUyLw85d4c9DMTzeugoeTndmLXNGL3SsgberA2/+drBwv2LX7gFRu+ByPvoBCSGEEIV1Icx4zqGmuUj7M2tN1LF4zrgepW2l+7i2fTsurVuhVP6TcecWLXC+917ivv2WtBs38HDw4NlGz7L9/HbWnVln3q5aEx8Ca3iy/beT3LwmzX9Lwsv/Vwu3/2fvrMOjuNo+fM/uJht3dzec4O4uFepGW2hLS0udfnX3ty3WQktLXaljpUUSgrslQEIE4u6+O98fExICCQSyySZw7uuaa5Nzzsz+FpLMPOcxMw0v/nm0ZUXBVGroew8kb2mo5C7olLTUaK4ARCd1wZVP6l5IioaBD4FG22hq8cYErLUa7hncdDGRKw1rMxOemxTOodQiftpz+vIvFDFdeY372zDCBAKBQCBoCVlnKmc3bTQbMp+5JK+S8sIa0q0TGF7ihb64GKtLyGc+G0mScJ73CLrcXAq+/x6AG0JuIMguiPd3v0+1rrp+3dCbgqkqr2H3alE7pD2wtzTl6fFh7ErK56+DLfTw97oD1Kaw5/O2FSdoU1pqNH8G3NGWQgSCDkHMB0pfvciZjYZPZJWw5kgGMwf7YWtx5XuZzzC9pwf9/B14d90xCssvsyiYUzA4h4u8ZoFAIBC0L9mxyj3d2q3J6bboz1zhnIfLkXSQJCwGDrzs61lERmI5ZAh5ny1HV1qGRqXh6b5Pk1qayjex39Svc/KyJmKoJ4c3p5GfXtbajyFoATf19aa7ly1vrI6jpCVFwSydlL7NB36AqpK2FyhoE1pqNKcBgyRJ2iBJ0pOSJN1z7tGWIgWCdiHnuNJPr999oLVuNLVoYwIWJuqrxst8BkmSeHV6F4ora3nvn+OXf6GIaZCyDUpFwIpAIBAI2onsOHDtcl4XjDMYMp85Nb6AKk0FPUJCKd++HbOICDT29q26pvO8R9AVFlLwzdcADPQYyAjvEXx66FNyynPq1/Wf5o+pmZqYX060vI+w4LJRqyRend6VnNIqFm5oYVGwvrOgugQO/XTxtYIOSUuN5qWAH0rRr3eB5eccn7WFOIGgXdm6QOnl2P/+RsMJ2SWsOpTOnYP8sLc0NZI44xHmZsOdA335ftcpDqcWXd5FIqYDsgjRFggEAkH7IMt1lbObLgJmyHxmgORj2WRaJTLCqT8VBw5eUqup5jDv1g2rUaPI+2IFuiLl/vtUn6eo1lezcP/ChnVWpvSd4s/puAKSD+W2+n0FF6entx039fHmi63JnMhqgffYq49SGHX358rPpqDT0VKj2f8iR0CbqBMI2ouiVGX3r/edShjNWSzemIC5iZrZQ6/eH/PHxobgaKnlhcstCuYSobTwEiHaAoFAIGgPitOgqqhZo9mQ+czlxdVU5unJsk2iW6oKamsvudVUczg/8jD6khLyVqwAwMfGhzsi7uCPhD84mnu0fl3X4Z7Yu1sSszIBXY3eIO8tuDBPTwjDSqvhxT+PXNzDL0mKtzk7Vom8E3Q6WmQ0y7KccrGjrYUKBG3K9iXK66C5jYYTc0r562A6dwzwxeEq9DKfwcbMhP+bGMaB04Ws3Jt66ReQJCVEO2kLlOcbXqBAIBAIBGeTfeHK2W2Rz+zgb4Zu5z4kc3PMe/dq9XUBzMLCsJ44gYKvv6E2X7l/3tftPhzNHHl719v1xpparWLoDcEU51RwcGMrincKWoyDpSlPjQ9lR2I+fx/KuPgJXWeAma1oP9VJaamnWSC4cinLg71fQrcbwM6n0dTiTQmYalTMuoq9zGe4rrcnfXzteXvdMYrKL6O1Rfg0kHVwfI3hxQkEAoFAcDbZZypnN+9pNlQ+8/HY09Soqons2oWyrVux6NMHlanhNtqd585FX1lJ3nKl+rKVqRXzes/jQM4B1iatrV/nHeGAX3cn9qxJpqyoymDvL2ieW/r50NXThjdWx1JaVXvhxaYW0PN2JequJLN9BAoMRrNGsyRJiZIk9aj7Oqnu++aOk+0nWSAwMLs+hZpyGPxoo+Hk3DL+PJDO7f19cbbWNn3uVYQkSbwyvQuF5dX879/LKArm0QtsfSBWhGgLBAKBoI3JigVrDzA/vxiXofOZU47nkG2VzFBtGNVJSVgObn0+89loAwOxnTqFgu++oyZbKag5PWg64Q7hfLD3A8pryuvXDp4RhE6nZ8fv4tG8PThTFCyruIpFLSkK1vde0NfCvq/bXpzAoFzI0xwFFJ/19YWO6DbUKBC0HVWlsHMphE4Gl7BGU0s2JaBRSdw3THiZz9DFw5bbB/jy7Y4UjqZfYlEwSYLwqZC4CSqLL75eIBAIBILLJTu2XfKZqypq0eVoqHQuwPZQMoBBioCdi9NDDyHX1pL3qVJ7VyWpeKbfM2SVZ/Hl0S/r19m5WNBztDfHdmSSlSTute1Bbx97buzjxecxSSRkX6QomGMgBI6GPStAdxHPtKBD0azRLMvy3bIsJ9V9PbPu+2aP9pMsEBiQfV9BZSEMeazR8On8cn7bn8Yt/XxwsTEzjrYOyhNjQ7G3MOXFP49eemuLiGmgq4YT/7SNOIFAIBAI9DqljaRr2+czJx3PREKFd6gjZVu3onF2Rhsc3Orrnoupjw92111H4U8/UZOeDkBv195M8JvAF0e+IKO0Iac2cqIfFjambPn5BPLlFO8UXDLzJ4RhYapu2bNR31lQki7S1ToZIqdZcPVSWw3bFoPfUPDu22jq480JqFUSc0YEGklcx8XWwoT5E8LYm1LAb/vSLu1kr35g5QZxf7aNOIFAIBAI8hNBV3WBImCGy2fef/AYOknHoO49KNu2HctBg5Ca6QvdWpzmPABA7idL68cej3wcgA/3flg/ZmqmYeC1gWQlFXNil8idbQ8crbQ8OT6UbSfzWH34IkXBQsaDrTfsFh17OxPCaBZcvRz6SdnpG/Joo+HUgnJ+2ZPKzX29cRVe5iaZEelFT2873lp7jOLKSygKplIpIdrx/0F1WdsJFAgEAsHVywWKgBk6nzkzoZgCq3S6lJihKyw0eD7z2Zh4eGB3440U/vYb1adOAeBu5c7dXe9mbfJa9mXtq18b2t8NFz8btv1+kupKEQbcHtzW35cuHja8viqOsgsVBVOpoc/dkBStREQIOgXCaBZcneh1sHUBuHVXckvO4pPNJ1FJwst8IVQqidemdyWvrIoP/z1xaSdHTIPaCoj/t23ECQQCgeDqJjsOkMAp9LwpQ+YzV1fXoM61wsSrlsrtuwCwHDiw1de9EI7334ek0ZC75OP6sbu73I2rhStv73obvaz0aJZUEkNvDKa8qJq960Rn2PbgTFGwzOJKFm1MuPDiXneC2hR2f94+4gStRhjNgquTY6sgL17JZT4rjCq9sIKf95zmhj5euNuaG1Fgx6ebly239vPh6+0pHMu8hGIjPoPAwlFpuSAQCAQCgaHJjgWHAKXFzzkYMp9558FDqGUNwWEelG3bhjY0FI2zc6uveyFMXFywv/VWiv7+m6qTSoVsCxMLHot8jLj8OP5MaEh/cguwJbS/Gwf+O0VRTkWb6hIoRPraMyPSi89jEjmZU9r8QitniLgGDv6gFKUVdHiE0Sy4+pBliPlQuaFGTG80tTRKuQEJL3PLeGp8KDZmGl784xKKgqk1EDZZKQZWU9m2AgUCgUBw9ZF14crZhspnPnBIibQa2q07FXv3tknV7KZwnD0LycyMnMWL68cm+U+ip3NPFuxbQGl1gxE28NpAVGoVW1e2oB2SwCA8MzEMMxM1L/91kWejfrOhqhgO/9x+4gSXjTCaBVcfSVGQvh8Gz1PySurILKrkx12nmRHphZf9+bvTgvOxszDl6Qlh7ErO588D6S0/MXw6VJcq7acEAoFAIDAUNZWQf7LJImCGzmcuTKqi3LoAq5OJyDU1WA4ebJDrXgyNgwMOd95Bydp1VB5XcmIlSWJ+v/nkVebx6eFP69da2mnpM9GXpIO5nI7Lbxd9VztOVlqeGBvClvhc1h65QCE2r77g1g12LVccOoIOTbNGsyRJwy7laE/RAkGr2PKBUsG5xy2NhpdGnUQnyzw4IshIwjonN/bxpruXLW+siaOkpUXB/IeB1hZiRYi2QCAQCAxI7gmQ9U16mg2Zz5xenIFVvgvWfmrKYrYimZpi0Sey1ddtKY53343K2pqchYvqx7o6dWV64HS+jf2WU8Wn6sd7jPbGxsmMmF/i0ev07abxaub2Ab6EuVnz+qpYyqubKQomSdB3NmQfhVM72leg4JK5kKd5M7Cp7jj76+YOgaDjk7ZX8TQPfAg02vrh7OJKfth1iut6eeLtILzMl8KZwhe5pVUs+K+F4V8aUwidqPQo1F1C9W2BQCAQCC7EmcrZrl3OmzJkPvOm/dsx1ZvRtWsAZdu2YdEnEpVZ+3XcUNva4nD3TEo3bKDi8OH68Xm952GiMuH9Pe/Xj2lM1AyeEUx+ehlHoi8hKkxw2WjUKl67pivpRZUsvlBRsG4zFCeCaD/V4bmQ0TwSGFV3XAukAf8AdwOT6l7X141f06YqBQJDEfMhmNlC5MxGw59GJ1Krl5k7SniZL4ee3nbc1MebFduSOZFV0rKTIqZBZaHSckEgEAgEAkOQHatUJXYIOG/KkPnMx2MVT25XD0eq4uPbLZ/5bBzuvBO1nR05CxbWjzlbODO7+2w2nd7E9vTt9eP+PZzwCrNn19+JVJaKzer2oK+fA9f19uSzLYkkNlcUzNQSet2mRN6VZLWvQMEl0azRLMty1JkDxWheL8vyJFmWv5Zl+Z+614nAv8B17SVYILhsck5A3ColFMbMpmG4pIpvd6YwvacHvo6WRhTYuXl6QhhWWg0v/dnComCBo8DUCmL/vPhagUAgEAhaQnYcOIWA2qTRsCHzmStqK6g8rUJvXQlHdwMYxWhWW1nhOHsWZTExlO/dWz9+R8QdeFp58u7ud6nVK6HBkiQx5IZgqit17Pw7sd21Xq3838RwzDRqXv47tvlnoz73gr4G9n3dvuIEl0RLC4FNB35qZu6nunmBoGOzbQFozGDAnEbDy7ckUl2rZ+5I4WVuDQ6Wpjw5PpTtiXmsOpRx8RNMzCF4HBxbrfTNFggEAoGgtWTHNVkEzJD5zLsyduFS7IeTvwVl27ahdnBAGxbW6uteDva33orayYmcjxbUG2VatZan+jxFQmECK0+srF/r6GlF12GeHI1OIzdVtDlqD5yttTw2NoToEzn8c7QZT7JTEASMhL0rQNdM/rPA6LTUaFYBzVkUwYC6mTmBoGNQlAYHf4Led4ClU/1wXmkVX29PYVoPDwKcW5/jdLVzaz8funra8MbqOMqqWvCHP2IalOdCyra2FycQCASCK5vKIig63UwRMMPlM8cc2Y15rRVdugVQtm07lgMHIqmM05BGZW6O0333Ub57N+U7GopJjfIZRT+3fiw+sJiiqqL68X5T/TG10BDzy4mWt4oUtIo7BypFwV5bFUtFdTNOgn6zoTgNTqxtX3GCFtPS3/DVwFuSJN0gSZIaQJIktSRJNwKvA6vaSqBAYBC2L1GqaQ56uNHw8pgkKmt1IpfZQKhVEq9M60pmcSULN7agKFjQWMX7HyeqaAsEAoGglWQfU16b8TQbIp9ZlmWSjikeQ1eTEnS5ue3Waqo57G66EY2bWyNvsyRJPN33aUqqS/jk4Cf1a80sTeg/NYC044UkHsgxluSrCo1axSvTupBWWMGSTc0UBQseDzZesHt5+4oTtJiWGs2PAIdRQrErJEnKAiqAH+vGH2kbeQKBASjPh71fQrcbwM6nfrigrJqvtyUzpbsHQS7WxtN3hRHpa88NkV58viWJhOyLhH9prSBoDMT9DXrRBkMgEAgEreBM5exzPM2GzGc+UXACqzxnVJZ61Ed3AWA5uP3zmc9GpdXiNGcOFQcPUhbdUFwz1CGUGcEz+PHYj5wsPFk/3mWoB46elmxdmUBtc55PgUHpH+DItb08+TQ6kaTcsvMXqDXQ525I3Ay5LexEImhXWmQ0y7KcK8vyUGA88Brwa93rOFmWh8mynNeGGgWC1rHrU6gpgyGPNhr+PCaJsmodDwsvs8GZPzEMC1M1L//VgqJg4dOgJAPS9rSPOIFAIBBcmWTHKgUmz9ogB8PmM0edjsa9OBDPIHvKt23FNDAQE1fXVl+3tdhddy0mXl5kL1jQ6L77UK+HsDCx4N3d79aPq9QqhtwYQkleJQf+O20syVcd/zcxDFONilf+bubZqPedoDIR3uYOykWNZkmSTCVJ+l2SpGGyLP8ry/Jrsiw/WPf6X3uIFAgum+oy2LkUQic12nkuKq/hy23JTOrmRoir8DIbGicrLU+MCyUmIZe1RzIvvDhkvHKTEFW0BQKBQNAasuOUe73UOATbkPnMO+P3YlVtj2+QA+V79hjdy3wGycQEp4ceoio2jpJ//60fdzBzYE6POWxL30Z0aoMX2ivUnsBezuxdl0xpQaUxJF91uNiY8eiYYDYfz+Hf2CaKglm5QJdr4MD3yvOroENxUaNZluVqYExL1goEHY69X0FFAQx5rNHwF1uTKK2q5eFRwUYSduVzW38fwtyseX1VLOXVFygKZm4HASOUvGZRlEQgEAgEl4MsQ9bRZoqAGSafOb8yn8LkagAcqtORq6qM0mqqOWynTsHU35/cRYuQdQ1h1zeH3Yy/rT/v7XmPGl1Dj+ZB1wch62H77yebupygDbhrkB8hrla88nczRcH6zoKqYjj0c/uLE1yQlhrCW4EBbSlEIDA4tdWwfTH4DgHvfvXDRRU1fLE1ifFdXAl3t7nABQStQaNW8do1XUkvqmTxxmYKX5whYjoUnoKMg+0jTiAQCARXFmU5UJEPLl0aDRsynzkmLQa34gDUZhKmsdvBxATLvn1bfV1DIWk0OM19iKr4BIrXrqsfN1GZ8FSfp0gpTuH7Y9/Xj9s4mdNrnA8ndmWRcbKoqUsKDIyJWsWr07uSVljBJ5ubeDby7g+u3ZQQbeFI6FC01Gh+ArhXkqS5kiR51VXOVp19tKVIgeCyOPyzUr7/HC/zV9uSKams5ZHRwsvc1vT1c+C6Xp58tiWRxJwLFAULmwySWoRoCwQCgeDyyDqqvJ7jaTZsPnMU3qUheAXZU7Z9GxY9e6KytGz1dQ2JzcSJaIODFW9zbUOU11CvoQz1HMrSg0vJq2goRdR7vC+Wdlq2/HQCWS+MtPZgQIAj03p4sDQ6kZS8c8KwJQn63gtZR+D0TuMIFDRJS43dw0AgsABIAaqBmrOO6jZRJxBcLno9xHwEbt0gaHT9cEllDZ/HJDEm3JUuHrbG03cV8cykMMw0al7+O7b5omAWDuA3RIRoCwQCgeDyyI5TXs9pN2WofOYaXQ17kw9iXe6Em6eWqti4DpPPfDaSSoXzvEeoTkmh6M/G7Ryf6vsUlbWVLNq/qH7MRKtm4LWB5JwqIW57RnvLvWp5bnI4JiqJV/6OPX+y+42gtRUFwToYLTWaXwVeqXtt6nitTdQJBJfL8dWQF694mc8qCPL19hSKKmqYJ7zM7YaLtRmPjg0h+kQO65sqfHGGiGmQl9Dw4CMQCAQCQUvJjgULJ7BybjRsqHzmfdn7sMl3A8CuNBnA6P2Zm8Nq9GjMunQh9+OPkasb/Fr+tv7cEn4Lv8X/Rlxew702pJ8rbgG27PjjJNUVF6hBIjAYrjZmPDomhI3Hsvnv3GcjU0voeSsc/QNKs42iT3A+LW059bIsy69c6GhroQJBi5Fl2PIB2PtD+PT64dKqWj7bksioMBe6eQkvc3ty10BfQl2tebW5whcAYVMBSfE2CwQCgUBwKWTHgmtjL7Mh85mjUqPwKglGbaLCLHYrKltbzCIiLn6iEZAkCed5j1CTlkbhb781mnugxwPYae14Z/c79dFfkiQx9KZgKkpr2L0m2QiKr05mDvYj2MWKV1YdpbLmnGejvveCvgb2fW0ccYLzELnIgiuPpGhI3weD5ynN4uv4ZnsKheU1oi+zEdCoVbw6vUvzhS8ArF3BZwDECqNZIBAIBJeAXg/Zx5oIzTZcPnN0ajQBFV1w9behYlsMlgMGIKnVrb5uW2E5dCjmvXqR+8lS9FVV9eM2pjbM7TWXvVl7WZ+yvn7cxdeG8IHuHNp4msKscmNIvuowUat4ZXoXTudXsDTqnArmTsFKZ5E9K0AnvP8dgRYbzXX9mqdLkvS0JEkvnnO80JYiBYJLIuYDsHKFHrfUD5VXK17mYSHO9PKxN6K4q5f+AY5M79lM4YszhE+D7KOQJ9pfCAQCgaCFFJ2CmrImioAZJp85uSiZ9PxMzIvscXWUqc3K6pD5zGejeJvnUZuVReFPPzWauz74ekLsQ/hgzwdU1jb0aO4/PQC1iYqtK+PbW+5Vy6BAJ6Z0d+eTzSc5lXfOZkXfWVCcCvH/GEecoBEtMpolSfIAjgG/A28BL9cdL9UdL7eJOoHgUknbB4mbYeBDYGJWP/ztjhTyy6pFLrOReXbSBQpfAIRPVV5FFW2BQCAQtJT6ImCN200ZKp85KjUKtxJ/kCXsipRoKctBHTOf+WwsB/THon9/cpd9ir68wSBTq9TM7zuf9LJ0vjr6VcN6Wy19J/mTfDiPlKN5TV1S0AY8NzkctUri1VVHG0+ETAQbT9j1mXGECRrRUk/ze0AO4ANIQH8gAHgDSKj7WiAwPls/UioORt5dP1RRrePT6ESGBDkR6Su8zMbkgoUvAOy8wTNS5DULBAKBoOWcaTflHFo/ZMh85ujUaCKq+6JSSZgfjcbU1xdTL89WX7c9cJ73CLq8PPK/+67ReD/3fozxGcPnRz4nq6zhftx9lBe2LubE/ByPTqdvb7lXJe625swbHcx/cdlsPHbWs5FaozzPJm6C3GZS2wTtRkuN5qHA/4D0uu/1siwny7L8IrASWNgW4gSCSyI3XsmH7TcLzGzqh7/fdYrc0mrRl7mDMHOwH0HNFb4AJUQ7fT8UpLS/OIFAIBB0PrLjwNan0b3fUPnMxdXF7Mvah29ZOE7ellTt3tHhQ7PPxqJ3byyHDSV/+efoSksbzT3e53F0eh0f7fuofkytUTHkhmAKs8o5vCm1ndVevdw92J9AZ0te/iu28bNR7ztBZQJ7PjeeOAHQcqPZEUiXZVkPlAFnu+s2AiMMrEsguHS2LgCNFvrPqR+qrNGxNOokAwMc6efvYERxgjOYqFW8Oq2ZwhegtJ4CiPu7fYUJBAKBoHOSHXdePvPOJMPkM29L34asA3WuJc7WVcjl5VgO6jxGM4DzI/PQFRWR/9VXjca9rb25s8udrEpcxcGcg/Xjvl0d8eniwO7VyZQXV597OUEbYKpR8er0rpzKL+fT6MSGCWtX5blo/3dQ3Uw9GEG70FKjORVwqvv6JDDurLl+QOV5ZwgE7UlRGhz8EXrd0ahH44+7TpFTUiW8zB2MQUFOTK4rfHE6/5zCFw4B4NpNhGgLBAKB4OLoaiD3xHntpgyVz7wldQv+VRHIOrAriAe1Gov+/Vt1zfbGvGsXrMaMJn/Fl+gKCxvNzeo2C2dzZ97Z9Q56WQnHliSJITcEU1ulY+dfiU1cUdAWDA5yYnI3d5ZsSmj8bNR3NlQVweGVxhMnaLHRvAkYXvf1MuBJSZLWS5K0GngNJURbIDAeOz4GWQ+DHq4fqqzR8UnUSfr5OzAwsPU5TQLD8nxd4Ysmi4JFTIPTO6E4o/2FCQQCgaDzkJeg9LM9q93U6fxyUgtan8+s0+vYkrqFPvIwAMyPbMa8e3fU1tatuq4xcH74EfRlZeR9saLRuKWJJfN6z+Nw7mFWJ66uH7d3s6TbSC9it6aTc6qkveVetTw3ORyVJPHaqrOejXwGKEXudn8Gdb21Be1PS43m54FPAGRZ/gSYB1gA7sC7wBNtok4gaAnl+Uofu24zwN63fviXPafJKq4SFbM7KO625jw8Kpj/4rLYdCy78WR4XYj2sVXtL0wgEAgEnYfsOuPirPDsnUn5QOvzmQ/nHqagqgD3okAcXM3QH9qD5eCOXzW7KcxCQ7CZOJH8b76hNq9xZeypgVPp6tiVD/d+SHlNg4ez72Q/zK1M2PLzCWRhrLULHnbmPDw6iPWxWWw6XvdsJElKvZ7Mw4pDQWAUWmQ0y7KcK8vyibO+XyTL8hBZlnvLsvysLMsiPFtgPHZ9pvRnHPxo/VBVrY6PN58k0teeQcLL3GG5d4g/Ac6WvPL3Uapqzyp84RIGTiGi9ZRAIBAILkx2HEhq5Z5Rx47EPIPkM0enRqPBhJoMDU4WZSDLnS6f+Wyc5s5Frqoi77PljcZVkor5/eaTU5HD8sMNc1oLE/pPCyAjoYiEvdnnXk7QRswaEqA8G/111rNRtxvB0hnWPKWkJAjanZb2aZ4oSZJlW4sRCC6Z6jLYuVTpZXdWPtPKvalkFFUyb3QwktS6fCZB22GqUfHKtC4k55XzWfQ5eVMR0yFlK5TlGkecQCAQCDo+WbHgGKQUAq3DkP2ZB5mOpLZKj23ucVRWVph379ZaxUZDG+CP7bRpFPzwAzVZjds+9nTpyeSAyXx19CtSSxqqZocP9sDJ24ptvyZQU91ExwuBwWny2UhrBVM+hMxDEPOhcQVepbQ0PHs1kC9J0jZJkt6QJGm0JElmbSlMIGgR+76GinwY8lj9UHWtno83naSntx1Dg50ucLKgIzA02JmJXd1YvCmB1IKzCl+ET1Py1I+tbv5kgUAgEFzdZMc2Cs02VD5zRmkGJwpO0FOneJYtDv6HxYD+SBpNq65rbJweehBZpyNv2bLz5h7t/ShqlZoP9n5QP6ZSSQy9MYTSgir2/yNaQbYXTT4bhU+FrjMg6l3IPGJcgVchLTWaQ4BHgBTgXuBfoECSpChJkl6SJGlYWwkUCJqlthq2LQbfweDTUMny9/2ppBVWCC9zJ+L5KUqUwOur4hoG3bqBvZ8I0RYIBAJB01SXQUFyoyJghspnjk6NBsC+wBNrOw3qU8c7dWj2GUy9vbG7/noKfllJTVpaozk3Szfu6XoP/6b8y+7M3fXjHsF2BPVxYd/6U5Tki4zM9uL5KRFISI2fjSa9B+b28MccEabdzrQ0pzlBluVlsizfIsuyG9AVeAqoBV5E6dUsELQvR1ZCcWojL3ONTs/iTQl097JlRKjzBU4W1Opr2ZGxg/iCeGNLwdPOnLkjg1h3NJPoEznKoCQp3uakKKgoMK5AgUAgEHQ8co4BcqP0rB2JedhbmLQ6nzkqNQpvK2+KUmpw0irVo62uAKMZwOmB+5GAnE8+OW9uZpeZuFu6886ud9DpG8KxB10XhARs+CqW5EO5VJSK/s1tjaedOXNHKc9GUWeejSwcGsK0t3xw4QsIDEpLPc0ASJJkIUnSeOBO4C6UNlTFgChxK2hf9HqI+Ujp5xs0pn74j/1pnM6v4JFRwsvcFHpZz96svby+43VG/zKa2etnM2v9LEqrS40tjdnDAvBztODlswtfREwHfS0cX2dccQKBQCDoeGTXeeBcGhvN/f0dW5XPXF5Tzs6MnYywHk9laQ02ObGYeHpi4ut78ZM7ASbu7tjdfDNFv/9BdXJyozkzjRmP93mc4wXH+S3ht/pxawczBl4XSEZ8Eas/PsQXT8bw3Us72PBlLEe3pJGXVopeLypsG5pZQ/3xd7Js/GwUPgW63QDR7yoVtQXtQksLgb0qSVIMUIDSk7kH8DPQH3CUZfmaNlMoEDTF8TWQexyGPKp4JIHaOi9zFw8bRoe7GFdfB0KWZY7mHuX93e8zbuU4Zq6byR8Jf9DHtQ/z+86noLKATw99amyZaDVqXprWhcTcMj6PSVIGPXqDjSfE/WVccQKBQCDoeGTHgcZcSeXh7Hxmh1ZddlfmLqr11YRV9QbA8uAGLAcNuqI2453um41kYkLOko/PmxvvO57eLr1ZvH8xxdXF9ePdR3oz66NhXPtELwZeG4idqwUpR/PY/N1xfnxtF8sfj+avBfvZ+Xcip47mUVUuwodbi1aj5qWpESTllrF8S1LDxMR3wdxBhGm3Iy2tZvA8UA4sBN6VZTmn7SQJBBdBliHmA+UmGXFN/fBfB9NJyStn2R2RV9SN7XKJL4hnbdJa1iWv43TJaTQqDUM8hvBY5GOM8B6BpYlSEP9EwQm+ifuG60Oux9fGuLvoI0NdGBvhyqINCVzT0xMPO3Ol8MWeFVBVAlpro+oTCAQCQQciOxacQ0GlBs7KZ25lq8mo1CgsNBZos+0wN89Fm5eC5eDHLn5iJ0Lj7Iz9bbeS/8UKnO6/D21QUP2cJEnM7zefm1fdzLKDy3iq71P1cyamajyC7fEItgeUjfni3AoyTxaRmVhMRmIRe9ckI8uABPZulrgH2OAaYIt7oC12LhZIraxqfrUxItSF8V1cWbwxgWt6eeJpZ94Qpv3TbbDlfzDiGWPLvOJpqdE8DxgJ3AM8JknSQZQ85o3AFlmWjR/bKbh6SN4CaXuVPxZq5UdYp5dZvDGBMDdrxoa7Glmg8ThVfKreUE4oTEAlqejn1o/Z3WYzymcUtlrb8855pPcjrE9Zz/u732fR6EVGUN2YF6dEMOaDKN5YHceS23orec07l0L8euh6vbHlCQQCgaCjkBULgaPqvz2TzxzicvkbrLIsE306msGeg8n8pxhHkyIkScJyQP+Ln9zJcJw1i8IffiRn0WK8FnzUaC7CMYJrg6/l+7jvmREyA39b/yavIUkSts4W2DpbEDrAHYDqylqykovJSlQM6ZP7c4jdmgGA1kKDW4AtbnWGtKufDaZmnbsieXvwQt2z0Ztr4lhyqxIB0RCm/R6ETgL37sYVeYXTop9SWZYXAYskxX3XCxgBjAJmAxaSJO2WZXlwm6kUCM4m5kOwdIEet9YPrTqUTmJuGZ/c1rvVfRk7G5llmfyT/A9rk9ZyNO8oAL1devNs/2cZ6zsWJ/MLt91yMnfi/u7388HeD9iatpXBnsb9VfZ2sODBEUF8+N8Jbk3IZXDAAOX/O/YvYTQLBAKBQKE8H0ozG7WbMkQ+87H8Y2RXZDPIejhZBVX4VBzBrGtX1HZ2BhDdsdDY2+Mw8y5yP/6Eyrg4zMLDG80/3Oth/kn+h/f3vM+S0UtafF1TMw3eYQ54hylh8rJepjC7nIyTRYohnVRMypE8QMmwc/C0wv0sQ9rW2VxEDJ6Dl70Fc4Yrz0a3989j4JloionvQmIU/PEgzN4IGlPjCr2CuaStHVmWZUmSjgA2gD3gBPQDBrSBNoHgfNL3w8mNMOZlMFFahev0Mos2JhDiasX4Lm7G1ddO5FXksT5lPeuS1rEvex+g7Ao/2edJxvuNx83y0v4dbgu/jV9O/MK7u99lpftKTFQmbSG7xdw/PIBf96Xy0l9HWfPIUEzDp8DBn6C6HEwtjKpNIBBcBnodVBRCRT6U5ymtglzCwcbD2MoEnZVzioCdyWeeNaRpj2hLiUqNQkLCryyCLE5jGReN5a2TWqu2w+Iwcyb5335HzsJFeH/SOL/57E31mLQYhngOuaz3kFQS9m6W2LtZEjFY+Z2vKq8hK0kJ585KLOL4rkyORCstsMytTXD1V8K53QJscPa1wcRU3boPegVw//AAft5zmlf+Psqqh4egUauUMO2pH8GPtyph2iP/z9gyr1haZDRLkjQIxbM8EhgIaIE8YDPwFbCpjfQJBI2J+Qi0ttDn3vqhNYczSMguZdEtva5oL3NRVREbT21kbdJadmbuRC/rCbQNZG7PuUzwn9CqfGRTtSlP9XmKRzY9ws/Hf+a28NsMqPzSMTNRCl/c+9UevtyWxH3h02DPF3Byg5LjLBAIjIeuVmkDd8YALq97bfT9OWMVhUATlXWt3ZWCf551h0cvpQepQHAxsmOV17p2U4bKZ45OjaarU1dKTukwMZGxKk69IvozN4faxgbHe+4m56MFVBw8iHmPHo3mbwu/jZUnVvLu7nfp797fYJvqWgsTfLo44tNF+f/S62UKMsoaeaOTD+UCoFJJOHlb1YV12+IaYIO1g9lV5402M1Hz/ORw5ny3jx92neKOgX7KRNhk6HYjbHlf+VqEabcJLfU0xwCFQDTwDLBJlmVR41zQvuQmQOyfSl9mMxtA+SO7aGM8QS5WTOrmbmSBhqe8ppxNpzexLmkdMekx1Opr8bLy4t6u9zLRfyLB9sEGe68R3iMY6D6QJQeWMMl/EvZmxn1wHR3uyugwFxb8F8/0xwbjam6vhGgLo1kgMBy6GsXAbdIAbsYorixq/noaM7BwVKq6WjiAbTfl+/oxR7CwB7UWso4q9SnS98Hx1Q3XcAgEz8g6QzoS3LqBiXnb/1sIOhfZsWBmq2y8YJh85tyKXI7kHuHBng+SsbsQR1UBKgtzLHr2NJDojon97XeQ/9XX5CxYiM8XnzeaM1Wb8mSfJ9t8U12lknD0tMLR04quwzwBqCitJiuxwRsduzWdQ5tSAbC0NVWM6EDFkHb2tkZtckmddDslE7q6MSjQkffXn2BKdw/sLevCsSe+A0kiTLstaanR3AfYL8uyaMAmMB7bFoBGCwPm1A/9czSTE1mlLLi5J+orxMtcpasiJjWGtclriTodRaWuEhcLF24Nu5WJ/hPp4tilTXZXJUni6b5PM+PvGSw5sITnBzxv8Pe4VF6cGsHYD6N5Y10CC0MnK62naquUnwOBQNCY2qqLGMBnxs8aqypu/nomFnXGrr3yau97jvFbZxifPXYp6RP+Qxu+riiA9AN1RvR+peDj4Z+VOZVGCcH17F3nlY4E57D6QpCCq5TsOOXnou5+aIh85pi0GGRkBtoNISYzm5D8Q1j27YtkemUbIGorSxxnzyb73Xcp370bi759G80ba1Pd3MoUv+5O+HVXarPodXry0srITCxSPNJJRZzcrzT0UWkkXHyslSrddR5pS7sr71lBkiRemtqFSQu38L9/j/P6Nd2UCQsHmPIR/HiLCNNuI1paCGzfma8lSbICHIF0WZZFYzBB+1CcDgd+gMi7wErpwazXyyzYEE+AkyVTunfuvLgafQ070newLnkdG05toKymDAczB6YHTWei/0R6ufRCJbX9DmqQfRA3hd7Ej8d/5MbQGwmxD2nz97wQvo6WPDAsgIUbE5gzcQThVd8qBS9CxhlVl0BgNKpK4OQmSPgPilIbG8jVF2hkYWrV4P21cATHwMYe4XONXwuH9vXumttD4EjlOENxOqTtUzzRaXvh6O+w90tlzsQC3Hs0Du229683oARXOLKseJq7zgAMl88cnRqNi7kLlnkuQDbWyXuwnHKzAQR3fOxvuZm8FV+QvWABvt9802hz/uxN9bd2vcXcnnPxtvZu9/BolVqFs481zj7WdBvhBUBZURVZicVkJhaRmVjEkc1pHPzvNADWDmb1xcXcA21x9LJCre783uhQN2vuGODL19uTubWfLxEeSvQlYZOg+00iTLuNaPE2rSRJU4BXgR4oiUn9gH2SJC0HNsqy/H3bSBQIgO1LQNbDoIfrh/6Ny+JYZgkf3NijU3qZdXod+7L3sTZpLf+m/EthVSHWJtaM8x3HBP8J9HPrh0bV/p6UB3s+yOqk1byz6x2Wj1tu9JyhOSOC+HVfGk/u1bJKa40U96cwmgVXF/mJcGI9nFgHyTGgr1FqO5wxfJ1CLuz9tXDonNEZNh7KET5F+V6vV/4tzhjRaftg93LYUaXMm9s3eKLPhHbXbbIKrjCK05U0gbrK2YbIZ67R1bA1bSuTAiaRkVCIWiVjXXIKy8FXR3MYlbk5Tvc/QNbrr1O2bRtW53zuIPsg7oy4kxVHV7A2aS0u5i5EukbSx60Pka6RBNgGGOV5wdJWS0AvZwJ6OQOgq9WTc7pECes+qXik4/dkA6AxUdF3ij+9x19+DZiOwmNjQvjzQBov/32Un+4b0PBvP+FtSNwMf8yB2ZtEmLYBaWkhsGuAX4ENwHzg3bOmk4C7AGE0C9qG8nzFu9D1erD3A5Q+igs3xOPnaMG0Hp3HyyzLModyD7EuaR3/JP9DTkUO5hpzRniPYKLfRAZ7DsZUbdw/cLZaW+b2nMsbO99g46mNjPYdbVQ95qZqXpwawf3f7OWk7xCCjq2BKbUiNFNw5aKrhdM7FSP5xD+Qe1wZdwpV0lNCJoB3/6vvd0ClAqcg5eh+ozKmq1E8jmeM6PT9ipdF1ivzNl4NnmjPSHDvWV8TQ9CJOadytiHymfdk7aG8tpzhXsPJ2FSEPXmYujhhGhBgCMWdArsbbyDv88/JWbAQy0GDzjOCH4t8jGmB09ibtZe9WXvZk7WHtclrAbDX2hPpGllvSAfbBaNWtX/Fa7VGhZu/LW7+tvQY7Q1ASX4lmYlFxMaks/PvRIL7umLtYNbu2gyJrYUJT40P49nfD7PqUAZTzzwLNwrTfh9GPmtUnVcSLb3jvgSskGV5liRJGhobzUeABw2urAkkSZoB3IKSY+0CnAJ+A96UZbnkIueOQKnyPVaW5f/aVqnAoOxeroQdDnm0fmhDXDZH04t5b0Z3peR+B0aWZU4UnGBt0lrWJa8jrTQNU5UpQ72GMsF/AsM8h2Fh0rHaKM0ImcFPx3/ivT3vMcRrCFq1cb1U4yJcGR7izKKULiyQ1kJKDASMMKomgcCglOdDwgbFUE74V/GiqUzAbwj0uUeJrnC4eh7eW4zaRAnTdu+h/DuB0s4q41BDkbG0vUo9BAAkxTN/xoj26A1uXTunJ/5q5kzl7DpPsyHymaNTo9GqtfSyi+S707vxSz+I5eDBRo+2ak9UpqY4PTiHzBdepHTzZqxHjmw0L0kSQfZBSipX2E3IsszpktP1BvTerL38d0p5xLY2saaXay/6uCqe6HDHcKO1s7R2MMPawQxXfxu+e3EHe9elMOLWUKNoMSQ39fXmu50pvLkmjtHhLliY1pl19WHa/6sL0+5x4QsJWkRLjeZw4Om6r88tBlaAkuPcHjyJYig/C6QCvYCXgZGSJA2S5TNby4Irhuoy2PGJ4llx7QLUeZk3xuPtYM41vTyNLLB5koqSWJe0jrXJa0kqSkItqRngMYA5PeYwymcU1qaXvyPe1mhUGub3m8/s9bP5JvYbZnWbZVQ9kiTx8rQuTP8wnSpTM7SxfwmjWdC5kWXIOd7gTT69Q/GOWjpD2FQIGa/k92o77t+JDoupJfgOVI4zlOUpXugzRnTCBjj4gzKnMlEM5zNGtGckOAWDEbxkghaSHatUzbZwMEg+syzLbD69mX5u/Sg8VY0sg232USxnzzac5k6C3TXXkPfpZ+QsXITV8OFIquYdE5Ik4WPjg4+ND9cGXwtARmlGvQG9N2sv0anRAJhrzOnp3LPeG93NuVu7b8jbOJoTPsiduK3p9B7vg41j567Kr1ZJvDKtCzOWbueTzSd5YtxZGwH1YdoPijBtA9FSo7kYcGpmzg/IMYiaizNVluWz3ytKkqR8lF7RI4CN7aRD0F7s/1YpdDPksfqhzcdzOJRaxNvXdcOkg3mZ00vTWZe8jrVJazmWfwwJiUjXSG4Pv52xvmON3sbpUhjgPoDRPqP59NCnTAuchouFcXMD/Z0suWNYGP/FdGfskT8xnfSeeKgVdC5qq5Sc5BP/KMZyYYoy7tYdhj6pbA569FLCkAWGxdIRgscoByibFkWpjfOjD/6kRDaBUjjNo5dynPFK23qLQmMdhexYg+YzJxUnkVqayswuM8k4VoiEjE1xMpYDBxhEbmdCMjHBee5DpM9/hpL1/2IzYfwlne9u5c5Uq6lMDVTaQ+ZW5DYK5158YDEApipTujl3U8K5XfvQw7lHu0TdRU70I257BnvXpTDytrA2f7+2po+fA9f09GBZdCI3RHrj41j3b2jhAFMXwA83Q/R7MOo54wq9Amip0fwv8H+SJK0FzoRBy5IkaYG5wNq2EHcu5xjMZ9hd93rJLkdJkgKAf4BsYIosywWtkCcwNLoa2LYIfAaCj3LjkmWlYrannTnX9fYyskCFnPIc1qesZ23SWg7mHASgu1N3nu77NON8x+Fq6WpkhZfPE32eIPqPaBbsW8AbQ94wthweGhnE27uHMLlyF7Up29H4DzG2JIHgwpRkQXxdEa+Tm6CmDDTmSqTEkMcgeBzYdtyImSsWSQI7b+WImK6M6fWQF68Y0GdCu3cuBV21Mm/h1FBkzKsv+A4S/aONgV6nRGn0VSKgDJHPHH1a8YYO8xrG9lXp2OpysQwNQOPYXoGUHQubKVPIXfYpOYsWYT12DJL68jeoncydGO83nvF+ivFdVFXEvqx99d7o5YeX8+mhT9FIGiKcIuqN6F4uvdokIs/awYyIwR7EbkkncrwvNk6d/3f4mYnhrI/N4o01sSy7o0/DROhE6H5zQ5i2R0+jabwSaKnR/BywCzgOrEEJ0X4G6A7YAte0hbgWMrzuNe5STpIkqReKsb8LuEmW5QpDCxO0ksMroeg0TP6gfmhLfC4HThfyxrVdMdUY3xvzZ8KfvLjtRfSynlD7UOb1nscEvwl4WXcMg761eFt7c1eXu1h+eDk3hd5Ed2fjti+wMNUwZNKtVP25iJObviNCGM2CjoYsQ8bBBm9yel3HRhsv6HGz4k32HyqMrY6ISgXOocrR8xZlrLYKso429I9O26tsgiCDxkzJOQ8aoxyOQcIT3R4UJENtZaMiYK3NZ45KjSLEPgRnrQtZScfwzDyM1fBBBhLc+ZDUapwfnkvaY49TvGYNtlOnGuzatlpbRvqMZKSPki9dWl3KgZwD9d7ob2K/YcWRFagkFaH2ofVGdG/X3gaL1ouc4Evc1gz2rE1m1B3hBrmmMXGzNeOhkUG8989xtsTnMDTYuWFy4llh2vdtFmHaraClfZqTJUnqDbwCjAd0wDBgHfCiLMvpbSexeSRJ8kRpg/WfLMt7LuG80cDvwC/AfbIs69pIouBy0eth60fg2hWCxwINXmZ3WzNmRBrfKK2oreDDvR/S1bErrw5+lUC7QGNLahNmdZvFnwl/8s6ud/hm0jft0i/6QoztFcT+9ZG4n/qHnOJKnG06dwVMwRVAdZnSP/zEOsWgKskAJMUbOeqFhpoMwqDqfGi0DdW3z1BVAqd2KHnRCf/BumeUcTufBgPaf5jIR28rso4qry7hBslnLqoqYn/2fu7peg/ZycXodTJ2+SewHPSoYfR2UqzHj0cbGkrO4sXYTJiAZNI2RbysTK0Y4jmEIZ7KJnhFbQWHcw7Xe6J/OfEL38Z9C0CQXVB9TnSka+Rlp41Z2ZsRMdSDI1FpRE7wxda5YxVjvRzuHeLPz3tO88rfsaydN7QhfdHcvi5M+yYRpt1KLmo0S5JkCswBNsiyfG/bS2oZkiRZAX8CtcDdl3DqDcBM4H+yLDdbh12SpPuA+wB8fHwuX6jg8jixFnKOwfWf1z9objuZx96UAl6b3gWtxvi5rD8d+4m8yjw+GPHBFWswA1iaWPJo5KM8F/McqxNX1+cpGQtJkvAcdBOuGx9jwe+/M++uW4yqR3CVUniqzpv8DyRFg64KTK0haLRiJAePBcvmSoEIOjVaa+X/t25Dl4LkOgN6Axz6GfZ8oRQX8xmg/DwEjVE2gMWmiWHIjgMkcA5l5+HW5zNvS9+GTtYxzGsY6XuKALCvTMU8MtIQajstkkqF87xHSH3wIYr+/BO7GTPa5X3NNeb0c+9HP/d+AFTrqjmad7Q+J/rvk3/z0/GfAPCx9mnUK9rTquWpLpHjfYmNSWfPmmRG3xXRJp+lPTEzUfPC5Ahmfb2Hr7encO/ZG0mhE6DHLSJMu5VIsnxuMewmFklSBTBeluXotpd0cSRJMkcJE+8BDJdl+XALzhmB0nIqD2WzoJ8syyda8n59+vSR9+xpsSNb0FpkGZaPgbIceHgfqDXIssxNy3aQkl9G1FMjMTMxrtFcVlPGxF8nEu4YzrKxy4yqpT3Qy3puX3M7mWWZrLp2lfFbZFUUoHs3kM9qJtF39iIifTtPgTVBJ0Wvg9Q9DdWus+u8XQ4BEDJRqXbtM1CEvl3t1FYrPbYT/lOM6Ky6xxMrtzoDejQEjFSK9Aguj5/vUlIg5h3gyV8OsiEui73Pj73s8OxntjzDtrRtbLpxE2sWHyb/wAlGSuvx+Xy5gYV3PmRZJvnGm6jNyyVw3TpUpsb/+1arr+V4/nH2ZO1hT9Ye9mXto7i6GAB3S/eGXtGuffC18b1gy7CYn+M5tDmVW1/qj51r5/c2y7LMXSt2s/9UAZueHIGT1VnVySsK4OOBYO4gwrQvgCRJe2VZ7tPUXEtzmuOAAMDoRrMkSSbASpRezWNbYjCfw30oras2S5I0Upbl44bWKGglyTGQtgcm/w/Uyo/ojsR8diXn8/LUCKMbzADfx31PQVUBc3vONbaUdkElqZjfbz63r7md5YeX80jvR4wryNwe2W84k5N28+KGE6y4p79x9QiuTCqL6non/6OEXVfkg0qjGMfj3lA8yk5BxlYp6EhoTJWcdf+hMPYVKM6AkxsVI/rYajjwHUgqpaDYmVBuj16iE8ClkB1b34KytfnMtfpaYtJiGOY5DEmWyEgoxCUnFstrBxtScadFkiScH3mE07NnU7hyJQ633mpsSWhUGro4daGLUxfu6nIXellPQmECezKVcO5t6dtYlbgKAEczx0ae6CC7oEYpZr3G+3B0Sxp71iQz5u7O722WJIkXp0Qw4aNo3v/nOG9ff1YdmjNh2t/fCNHvwqjnjSe0k9JSo/lFYEGd9X2pRqrBkCRJBXwHjEKpdr3jMi5TjJKXvRbFcB4ly/IlFRETtDExH4KlC/S8vX5o4YZ4nK213NzP+KHyJdUlfHn0S4Z7Daebczdjy2k3ejj3YErAFL46+hXXBl+Lt7W3UfVouk7HO2kjmfF7SczpQoCzlVH1CK4QchPqvMnr4NR20NcqO/PB4+p6J48CcztjqxR0FmzcoddtyqHXKZW5E/5Tjs1vw+a3lJ+vwFGKAR04Cqw7b8cFgyLLUJIJOXGQfUwxlnOOQW48REw3SD7zoZxDFFUVMcx7GLmppdRU67EtSsBysEj7OYPlkMGYR0aS98lS7K67DpVZx6ojopJUhNiHEGIfwq3htyre8eLk+nDuPZl7WJ+yHlCKkN3d5W7u7aZkm1raauk63JODG04TOdEXezdLY34UgxDkYsXdg/1YHpPErf196O5l1zAZMr4uTPuDujDtXkbT2RlpqdE8H7AC9kuSlAxkoFTQPoMsy/Lwpk40MEtQcpLfAMokSTq7gV6qLMupLbmILMslkiRNAFYDm+oM51jDyxVcMhkH4eQGGP0SmCh/mHcl5bM9MY/nJ4d3CC/zN7HfUFxdzEM9HzK2lHbn0d6PsuHUBj7Y8wEfjvzQuGLCpiCveoxbNZv5ctswXp3e1bh6BJ2T2mrFOD5T7Tr/pDLu0gUGPaJ4k736CE+goPWo1ODdVzlG/h+U59d5oesKih1Zqaxz69bghfbuD+q2KcDUoSjNaTCKs+PqXmOVaI8zWDgqFbP7zYbImexMaH0+c3RqNBpJwyCPQSRGFwLgqCpAGxLSmk9zRSFJEs7zHuHUnXdR8MOPON4909iSLogkSfjb+uNv68+MkBnIskx6WTp7MvewNnktH+37CBcLl/r6LL3G+XIkOo3dq5MZd28XI6s3DI+MDub3/em8/NdRVj4wqHEkxoS3zqmmrW3uMoJzaKnRrAM6glE5se71ubrjbF4BXm7phWRZLpUkaRLwN4rhPFqW5SMGUSm4fGI+BK0N9G2oObdwQzxOVqbc1t/XiMIUiqqK+Cb2G8b4jCHcsfO3KbhUXC1dmdVtFov2L2Jnxk76uxsxLNrSCan3ndy69xum7x1H0bhQbM2vgodLgWE4tRN2fKwYLVXFoNYqFY8HzFF24+2MH9Ui6JhsOpbN6sMZOFqZ4mpthputGa42WlyszXCx0ba8UKWFA3SboRx6PWQdaciF3rZIuR+aWkPA8IaCYp3957I8v84oPuM9rvu6PK9hjZkduIRDl+sUI9klDJzDwcq50aV2JB5sdX/mqNQoerv2xsbUhvT4ZMyr8nHs1+WCebBXI5b9+mExcAB5n32G/Y03oLLsPB5ZSZLwtPLEM8iTSQGTuP/f+3l528v42PjQw7kHFjamdBvuxf7/TtFnkh8O7p3nszWHtZkJ8yeE8tTKQ/xxII3rep/VcebsMO2od2H0C8YT2sloacupEW2so0XIsuzXinM3A9I5Y2Uood6CjkDeSYj9EwbPAzNbAPam5BOTkMuzk8IwNzW+p+fLo19SVlPGgz0fNLYUo3FnxJ38Fv8b7+x+h5+n/IxG1dK9tzZg1Atw+DeeqviKX3aPZNawK7eKucCA1FTCj7cCMnS5RvEmB4wA087/sCRoO2RZZsmmBN5ffwIbMw2VNXqqdfrz1tlbmOBqY1Z3aM/6uuF7Jyst6rO9PyoVuHdXjqGPQ2WxUpX9TCj3MSVHE6eQOi/0aPAd3HH7fVcWNQ6pPuM9Ls1qWGNqrRjEYZMVo9glTDGSrVxbVGm8tfnMaaVpJBQm8GSfJ5FlmYzjedgVnMBy+tXbn/lCOD/yCCm33Ereii9xenAOksq47ScvBxOVCR8M/4BbVt/CvI3z+HHKj7hZutFrnA+Ho9PYszqJcbOujKi163t78e3OU7y99hjjurhhpT3rWS1kPPS4VdmYC5vcuKWeoFmM+LQrEJzD1gVKm47+c+qHFmxIwMHSlNsHGN/LnFeRx3dx3zHBfwLB9sHGlmM0zDRmPNHnCR7f/Di/nviVm8JuMp4YSyfUI59h+D/PsjpmJbohTzd+EBUImuLQT1CeC3f9rXiXBYKLUF5dy1MrD7H6UAbX9PTg7eu7o9WoKCivIau4kqziSrKLq8gqriSzuJKs4iqySyo5lllMTkkV+nMalagkcLZWDGgXa8WYdqszrF3qDGs3n3HYhU1Wdvtz4xsM6N2fK1ESGjPwG1JnRI8Fx8D2b2tVVQI5x88KqY5TjpL0hjUmluAcquh0DmvwHtt4XrZeQ+QzR6cqtW2Hew2nILOcykoZu8IELAfNuuxrXslY9OqF1fDh5C5eTN4XX6ANDEQbHIw2KAhtcBDa4GA0rq4d3ktvZ2bH4tGLuW3NbTyy8RG+mvgV5tbmdB/hxb71KUROKsXRo/PXSFGpJF6eGsG1H29j8cYEnpkY1njBhLcgcZMSpn1/lAjTbgHCaBZ0DIoz4OAP0OuO+iIo+08VEH0ih/kTwrAwNf6P6hdHvqBKV8WcHg1GfU12NmVbYrAc0B8Tz5b3B+zsjPEZQ1+3viw+sJgJ/hOw1doaT0zf2ZRu+4w5RZ/z35FbGN+9k4cvCtoWWYbtS5S8Ub+hxlYj6ASkFVYw+6s9xGUW88zEMO4fFlBvGDhYmuJgaUq4u02z59fq9OSVVdcZ11VkFleSXWdoZxVXkVpQzt6UfArKa84711StqjeiXW3642o3HM/BMuHVh/Ev3IFT5hZME54BngE734ZcaP+hSj9pQ1FdDrnHz/EeH4OiUw1rNGaKJ9x/WENItUsY2PoonnQDsjOp9fnMUalR+Nr44mfrx9FDaQC42NVi4uJiEI1XIh7/e5/i1WuoSkigKj6e0uhoin77rX5eZW2tGNFnGdLaoCDUTk4dypgOtAvk3WHvMnfDXF7Y+gLvDXuPXmN9OLw5ld2rkplw35Xhbe7lY8+MSC8+j0nkpr7e+DudFU1lbgdTF8L3N0DUOzD6RaPp7CwY3xIRCEDZNdfXwqCH64cWbojHzsKEOwYa38ucXZ7NT8d/YkrAFPxtlZ1tWZbJeOYZyrZtB0AbGorVyBFYjxyJWbdunTJ0qaVIksT8vvO5cdWNfHLwE57p94zxxGhMMZ/6Hv7fzyDm3wXQ/X/G0yLo+CT8pzz8X/tp+3vlBJ2O3cn5PPDNXqpr9XxxV19Ghl26QaVRq+rDsy9EZY2OnJKqemM6q7iSrJJKsoqU749llhB9IpfSqlrABhgHjMNLymasyRFGlxwmcu/3mO/5HJ2kIcuuF0Wew9AHjMbGtyfONmYXL6ZZUwm5J84vyFWQQn39V7WpYhx794PIOxXPsXMY2Pu1W8G8HYl5rcpnLq8pZ1fGLm4OuxmAtGN5mFYX49yv87cdakvUVlbY33Rjo7HaggKq4uPrDenq+ARK1q+n8JdfGs6zs0MbFITpWYa0NjgYjb19e3+EeoZ5DeOxyMf4YO8HBNkF8UCPB+g+you9a1PITS3Fyavze5sBnp4Qyrojmby2KpYvZvZtPBkyDnreBjEfQdgUEaZ9EYTRLDA+FQWw5wvoej04KAbpodRCNh3P4anxoY3zMIzE8sPL0el1PNDjgfqxkn/WU7ZtO04PzkFlZU3ppk3kfbacvKXLUDs5YTV8GNYjR2I5aBAqCwsjqm8bQh1CmRE8gx+P/cgNITcQaGe8fGJ1yFhSHIdwTe53HEuYQ1iQ6J0raIZti8DaHbpca2wlgg7Oj7tO8cKfR/Cyt+CzO/sQ5NK2D9FmJmq8HSzwdrjw/aK0qrZRSLgSDt6PH4qrWFxUgnPhQbpV7GZI3kEiCv4HR/5HlmzHX7oe7DHpTaJVX6xsbQk3ySZYSsVXfwq3yiTsy05iXpqCJNflaas04BgE7j2V/Mcz3mOHAFAb977c2nzmHRk7qNHXMNxLafySfiwX28IErIaK/syXisbeHk2/flj261c/JssyutzcekO6Kj6BqoQEiv9ehb60tH6d2smp3oCufw0OQm1twCiJCzCzy0wSChNYcmAJgXaBDB0zgsObUtm9OomJ918ZLUVdrM14ZHQQb645xqZj2edv/I1/E06KMO2WYHxrRCDYvRyqS2Hwo/VDCzckYGOm4c4O4GXOKM1g5YmVTA+aXt+bWF9eTtY776ANDcXpwQeRNBoc77kbXWEhpVu2ULppEyXr/6Xo19+QTE2xGNAf65EjsRoxAhN3dyN/IsPxUK+HWJu8lnd3v8vSMUuNGn7lcO37mH02mKJVL8Kj3xtNh6ADk3kYkqJgzMugMTW2GkEHpUan543VcXy5LZmhwU4svqU3thYdpzK/lVaDlbMVgc32ph+OLMsUlteQkJlM7YkNWJzazLScbdxYG4W+RIW+REKDDgCdLJEsuxEle3FC7km83ot4vCky98auxgrnEi1OshanMlOcctQ4WWXibK3FyUqLk7Upjpbadq0lYah8ZisTK3q79KY4r4KyMvAsTcKiz9XXSrItkCQJjbMzGmdnLAcOrB+XZZnarKwGQ7rOQ13466/I5eX16zSuruflS2sDAw1etVuSJF4c+CLJxck8F/McX0/8mu6jvdmzOpmc0yU4e7eP8d7WzBzkz4+7TvPqqlgGBzlhqjkrEtLcDqYthO9miDDtiyCMZoFxqSiAHUsheBy4KTkkR9KK+C8ui8fGhGBtZvwHlU8PfwrA/d3vrx/LXbqM2owMPN9/D0nT8GuktrPDdupUbKdORa6poXzvXsWA3rSZzFdehVdeRRsejvXIEViNHIlZly6dOozbwcyBB3s8yDu73yE6NZrh3u3Rrr1prL3CiXG5kUHZP1KQsAv7oH4XP0lwdbF9iVKUKHKmsZUIOigFZdU89P0+tp3MY9YQf56ZGIZG3fn+RkuShL2lKfaBIRAYAswBvQ7S9qE6uQFVbRW4RCA7h1Jm7Y9UIeFYWk1waRV2JVX4l1aRW1pFTkk1uaVVJOaUkVtaRVXt+dXCJQkcLU0VI9pKi5OVaYNRbaXFybphzMHCtNX/nq3NZ9bLeqJToxnkMQgTtQmJCUq7K1cPU1TmHbQa+RWCJEmYuLlh4uaG1dCGmhKyXk9NevpZXmnFmC7/fhdydXX9OhNPz0aGtGlQkGJMm1049eFCaNVaFoxcwM2rbubhjQ/z1ahvObRRw+5VSUya071Vn7ejYKpR8eLUCGau2M2KrUncP/ycyMDgsdDzdhGmfRFaZDRLkjQIcJBleVXd947AYqAr8A8wX5ZlXZupFFyZnN4Nv96jGM7Dnq4fXrQxHmszDTMH+xlPWx2nS07zR/wfzAiZgbuV4iGuSkoib8UKbKdPwyIystlzJRMTLAcMwHLAAFyeeYbqxMR6Azp36TJyP/4EtbMT1iMUA9py4MBOecO+Kewmfj7xM+/ufrf+IcRYeE5/kfzPVlP95xPYPx4tclYFDRRnwOGV0OcepU+lQHAOxzNLmP31HjKLKnn/hh7MiPS6+EmdCZUavPsqRx0SSna0jRUEODd7JqB4CUurasktra4zqBXDOrekipyzxpLzFAO7sqZpA9vBQjGwneuM6QbDumHM2UqLg2XTBnZr85nj8uPIqcip3+RNPZyBprYct4Ein9lYSCoVpl5emHp5YT1yZP24rNNRc/o0lfHxVCck1HunS7dtg5q6wnmShImPN9ogJbRbeQ3G1N8PlWnLIoqczJ1YNGoRd669k/k7nuShUS+xd/UpslOKcfFtvshfZ2JEqAtjwl1YuCGea3t54nJujYXxb8DJjSJM+wK01NP8NrABqGsUyHvAJOA/YA5QBLxmcHWCKxO9HrYtgA2vga0n3PNP/U08LqOYf45m8cjoYGzNje9lXnZwGWqVmtndZwPKQ0PWG2+i0mpxefLJFl9HkiSlPUNgII6zZlFbUEBZdDQlmzZTvGYthb+sRNJqsRwwAKuRI7EaOQITV9c2+lSGxURlwvy+83ngvwf4Lu47ZnadaTQt/l4efOF4L/fkf0jNwV8w6XnjxU8SXB3s+hRkHQyYc/G1gquO9UczeeynA1hoNfx4/wB6+4iNlXORJAlrMxOszUwaV+FtAlmWKavWNTKsc0sV47p+rLSKlFNl5JRc3MB2sq4ztK20bD6e06p85ujT0UhIDPEcAkB6XB62RYlYDx59WdcTtB2SWo2pnx+mfn4wdmz9uFxTQ3VKSl3OdEOYd+nmzaCr8+Gp1Zj6+p6XL23q799khF+4YzivD3mdJ6OeZLX3N/iaj2b3qiQmP9SjfT5sO/D85AjGfRjN2+uO8cGNPRtPnh2mvfltGPOSMSR2aFpqNIcD7wBIkmQCzAAelWX5C0mSHgXuRxjNgpZQkgW/36/0hou4BqYuUH5R61i0MR4rrYZ7OoCXObkomb8T/+a28NtwsVAKJ5Ru2EBZTAyu//cMGueLbMtfAI29PbbTp2M7fTpydTXle/ZQsmkzpZs2URoVBS+DWUREnQE9ErMuER2qXcO5DPYczHCv4Sw9tJQpgVNwMncympbAcQ9w+PvfCVz3AiYRk8HUsDlQgk5IdZlSbDBsSn2xQYEAFONuyaYE3l9/gu5etnx6Rx/cbC8/1FOgIEmSknut1bTYwM49y5huZFzXve4/VUhOSRUVNTrGRlz+pnJUahTdnLvhYOZAeXE1xWUqgqpSMYsIv+xrCtoXycSkvrUVExrG9dXVVCclNTKkK+PiKFm/Xmk3CFiPG4fngo+afKYa7zeek4Un+eTgJzzSoyfJO2rJSi7G1e/K8Db7OVly71B/Ptl8ktsH+J6/OXgmTHvrRxA+BTybj6a8Gmmp0WwFFNd93Q+wpMHrvA8QjVEFFyfhP/j9AagqVYzl3nc1Cp89nlnCmsOZzB0ZhJ2F8Yv0fHLwE7RqLfd2vRcAfUUFWW++hTY4GPvbbjPY+0implgOGoTloEHIz/4f1QkJ9QZ07scfk7tkCRoXF6xGjMBq5AgljLsV+TttxZN9nuTav65l0f5FvDLoFaPpGBbqymNWD/BR+TPIMR8hjXrOaFoEHYT930FlIQyca2wlgg5ERbWOp1YeZNWhDKb39OCd67tfvCWTwOCcbWD7XcTABqiq1aHVXN7/U055DkfzjvJwL6W9ZXpCIQDu/tadur6IQEFlaopZaChmoaGNxvUVFVQlJlL89yryv/ySkrVrsZk0qclrPNDjARIKE1iW+BazzN9m96okpsy9crzNc0cG8du+VF7+6yh/PDj4/IiNs8O074sCk473vGksWvoXIg048xMzETgiy3J23ff2QHmTZwkEALXVsP4F+PZ6sHCC+zYphXjO2eVbtDEeS1M197aiIqahSChIYG3SWm4NuxVHc6XYSN5nn1GTno7biy/UF/8qzq1g/7+nyE0tQa7bxWwNkiShDQ7G6b7Z+P3wPcFbY3B/6y3Me/akeNUqUuc8yIkBAzk950EKfv6Zmuzsi1+0nfCz9eP28Nv5Pf53juYdNZoOSZLoM2wSf+kGIm9dAIWnjKZF0AHQ65Q+8F59wae/sdUIOghphRXMWLqN1YczeGZiGB/d1FMYzJ2EyzWYAbakbQGobzWVuicZla4az8HCy3wlozI3x7xLF1yeehKzrl3JfONNdIWFTa+VVLw++HX8nX3Z4/oPKUfyyEwsal/BbYilVsP/TQznUGoRK/emnr/gTJh2zjGIervd9XVkWmo0/wC8KUnSSuBx4Nuz5noD8YYWJrhCyE+CFRNg20KlAM99m8Dl/JtTQnYJqw9ncOcgP+wtje9l/vjgx1iYWDCzy0wAqk+dIm/559hMmYJF34YiKlE/HGfbrwn89Ppuvnl+O1t+PkHq8QL0uvPzsy4HjYMDdtdeg9fCBQTv2I738uXYXX89VcePk/niSyQMG07SDTeS8/HHVMbFGcRwbw33db8PezN73tn1jlG1XNfbk8XqO6jVo2zYCK5ejq+BgiThZRbUszs5n+mLYziVV87nd/XhgeGBHTr9RWA4ok5H4WrhSoh9CADpx/OxKU7GZsggIysTtAeSWo3766+hKywk6733ml1nYWLBwpELSfbeT5VJOdv+urLMnOk9PYj0teeddccoqqg5f0HwWOh1O2xdAKl7219gB6WlRvPLKDnNWpSiYB+cNdcD+MWwsgRXBEd+hWXDIDcBbvwapnwIJk1Xh168MQEzjbpVfRcNxbH8Y/yb8i93RNyBnZkdAFlvvImk0eDy1FP16zITizh1NJ/eE3wZeXsYDh6WHI1O588P9/PF0zH8tyKWk/uyqa6sNYgulakpVkMG4/bC8wRu+A//P//E+dFHkVQqchctJuna60gYNZqMV16hNDoafVWVQd73UrA2teaRXo+wP3s/65LXtfv7n8HCVMPI/r35uGYKxP4ByTFG0yIwMtuXgJ2Pks8suOr5cdcpbv1sB1ZaDb8/NIhRYZ2j4KKg9VTrqtmesZ3hXsORJInqiloKSjU4SnmYeHgYW56gnTALC8Pxnrsp+vU3ynbsbHadu5U77499l4MeG8k4Vszp+Lx2VNm2SJLEK9O6kF9ezcINzWwIjH8TrN3hjzlQU9m+AjsoLcpprmsn9UYzc9cYUpDgCqC6DNbOh/3fgFc/uH452Ps2uzwxp5S/DqYza2gAjlbGL3G/ZP8SrE2tuSPiDgBKNirFuVyeegoTV5f6dbtXJWFmZULkBF9MzTREDPGgurKW03H5JB3MJflwLsd3ZqLWqPAKt8e/uxN+3Z2wtG39Z5QkCbPQEMxCQ3B64H5qc3MpjYqiZNMmiv74k8IffkSysMBy0ECsR47EavhwNE7tU5zrmqBr+On4T/xvz/8Y4T0Cc41x2mjdOdCPcVumcrfpVmzXPqO0UFCJ8MuritS9cGo7THgb1C0t4SG4EqnV6Xl9dRxfbktmaLATi2/pja2F8Ts0CNqPPZl7qKitqG81lX48DyQV7kG2RlYmaG+cHnqI4n/Wk/HSiwT8+WezdWJ6uvTkmukpnPy4hF+/j+LRl65rZ6VtR1dPW27u681X25K5pZ83Qee2cDOzVcK0v71eCdMe87JRdHYkRNUDgWHJOgqfjoT938LQJ+DuNRc0mAEWb0rAVKNi9tCAdhLZPIdzDrM5dTMzu8zExtQGfWUlWW++iWlgIA533lG/LjOxiFOx+fQa64OpWcPDuKmZhsBeLoyZGcE97w7hmsd60XWYJ/npZWz+7jhfPrOVX9/dw75/UijILDOYbo2TE3bXX4/34sWE7NiO96fLsJ0+jcojR8l47nnihw4j6aabyF26lMrjx9s0dFqtUjO/33yyyrNYcWRFm73PxfC0M2d4Fx9eq74Zsg7Dvq+NpkVgJLYvAq2tEmYmuGopKKvmrhW7+HJbMrOG+LNiZl9hMF+FRKVGYaY2o59bPwBObzuBJOvwHir6M19tqMzMcH/lZWpSTpH78ScXXHttxHQ0vYsxybDj2w2/tZPC9uHJcaGYm6p55e/Ypp8Lg8ZArztEmHYdzRrNkiQlSZKUeOZoT1GCTogsw+7lisFcWQh3/gGjXwT1hR9M9qbk8+eBdG7r74uzdQfwMh9Ygp3WjtvClerYeZ9/Tk1qKm4vPI9k0vBZdq1KwtzahG4jvJq9lkqtwjPUniE3BnPH6wO56fl+9Jvij65WZvvvJ/n+5Z1899IOtv2WQMbJImS9YQxZlVaL1bBhuL/0EkGbNuL/+284PTwX9DI5Hy0gafo1nBw9hsxXX6N0SwxydbVB3vdsIl0jmeA3gS+OfEFGaYbBr99S7hnsz8rKvmTZ94aNr0FFodG0CNqZghSI/RMi7wKt9cXXC65ITmSVMH3JVnYnFfDejO48PyUCjVr4C642ZFkmKjWK/u79MdMoXsX0EwVYl57GdrAoEHg1YjlwILbXXkveF19Qefz4Bdc+cOtN1Ggrifsnh92Zu9tJYdvjaKXl8bEhbInP5d/YrKYXjX9DhGnXcaE7x1fnHAJB01QUwE+3w+onwH8oPLAVAkZc9LRtJ3O54/NdeNubM2dEYNvrvAj7s/ezNX0r93S9B0sTS6pTU8n79DOsJ07AcsCA+nUZJ4s4HZtPr7G+mGhbFu4rSRJOXlb0nezPjc/25c43BzHs5hCs7LUc/O80v723lxXPbGXTN3EkH8qltkZnkM8kSRJm4eE4P/gg/r/8TFB0FG6vvYo2LIzC337j9OzZJN92e5vkPz8e+TgAH+z94CIr245IX3u6edrxYtUdyOX5EPWO0bQI2pmdy0BSQf8HjK1EYCT+jc3i2iVbqajR8cN9A7ihj7exJQmMRGJRImmlaQzzGgZAbY2O/ApzHLUlqK0u3uZKcGXi8vRTqG1syHj+BWRd889dZmamDJoUgkdxMG/9voDTJafbUWXbcvsAX0JcrXhtdSyVTT17ngnTzj0Om99qf4EdiGaNZlmWX5Zl+ZUzR3uKEnQiTu2ApUPhxDoY9zrc+gtYOV/0tE3Hsrl7xW687M35+f6BOHWAXObF+xfjaObIzWE3A5D11tugVuM6f36jdbv+TsTc2oSuwz0v+72sHczoNsKL6Y/24p73hzD23gg8Q+yI35vN6o8P8fmTMaxddphjOzKoLG2isuFlYuLigv0NN+D98RJCdmzH/fXXqDx8mKzXXzfYe5zB3cqde7rew7rkdezNMk5YjyRJ3D3Yj3/yXckIvBF2fQo5F95RFlwBVBYp4fhdrgXby/89FXROZFlm8cZ47vtmDwHOVvw1dzCRvvbGliUwIlGpUQD1RnPG4XT0khqPYPFzcTWjsbfH9dlnqTx8mILvvrvg2t4j/dFaq+mWPIqH/3uY0urSdlLZtpioVbw0tQun8ytYvqWZwOIzYdrbFkLqnvYV2IEQMUqCy0Ovg+j3YMUkpbjSveth0MOguviP1JrDGdz3zR6CXa348b6BuNgYv3H6roxd7MrcxaxuszDXmFMaHU3phg04zXkAEze3+nXpCYWkHiug17iWe5kvhtbChJC+boyf1ZV73xvK1Id7ENbfjazEIjZ8GccXT8fwxwf7OLjhNMW5FQZ5T1ByeuxmzMDxgfsp/GUlhb/+arBrn+HurnfjauHKO7veQac3jPf8Upnc3R1nay1vVV0PJpaw7v+UdALBlcu+r6G6RLSZugqpqNbx8A/7eX/9Cab18OCXBwbibmucYoSCjkPU6SjCHMJws1Tu56eiYwHwHdXNmLIEHQCbyZOwHDaU7I8WUJOW1uw6jamafpMCcCnyozpVwzNbnjHac42hGRzkxIQubizZdJKMomaeM0WY9gVzml+8hEM0Qr2aKM6Ar6fDxtcVT879W8AzskWn/ro3lbnf76O7lx3fzx6AQwfoySzLMosPLMbFwoUbQm9AX11N5htvYOrnh+NddzVau7sul7k1XuYLoTZR4dPFkeG3hnLXW4OZ8Uwfeo/3oaK0hphf4vnm+e38+Noudv6VSM6pEoMU9HJ++GEsBg4g85VXqYyNNcCnaMBcY84TfZ4gLj+OPxL+MOi1W4pWo+b2/r78nVBLbp9H4eQGiF9vFC2CdkBXAzuWgt9Q8OhpbDWCdiS9sIIblm1j9eEMnpkYxkc39cTMRFTMv9opqiriQM6Bei8zQPrJYiwrMrHr092IygQdAUmScH/pJQAyXn31gs9VEUM8sLTTMr1gNlGno1iwf0F7yWxznpscjl6WeWvNsaYX1Idpn4DNb7avuA7ChXpwvHwJ15GB11onRdApOLEe/ngAaipg+hLoeRtIUotO/XZHCs//cYRBgY58dmcfLLUdowXMtvRt7M/ezwsDXkCr1pL72VJqUk7hvXw5kmmDUZ8er3iZB88IwsS07R/EJJWEq58Nrn42DJgeSFFOOUkHc0k8kMPetcnsWZOMlb0W/+5O+Pd0xiPEDvVlFLiR1Go8//c/kq67ntRH5uH/60rUtoZrwTHBbwI/HPuBhfsXMs5vHNam7V+U6db+PizZlMDikpG87Pi94m0OGAka42/aCAxM7J9QnAqT3ze2EkE7sic5nwe+3UtljZ7P7+oj+i8L6olJi0Ev6xnupbSa0tXqyKu0wtsyDUktNlUEYOLpicu8R8h6622K16zBdvLkJtdpTNRETvAl+scT3Nb1PlYc+ZRgu2CmBk5tZ8WGx9vBgvuHB7JwQzy3D/Cln7/D+YuCxkDvO2HbIgibCt5921+oEblQTrPqEg7xV+dKp7Ya/nkOvr9BCc+4b7PSxqWFBvPyLYk8/8cRRoW58MXMvh3GYJZlmUX7F+Fp5cm1QddSk5ZG7tJlWI8di9WQwY3W7lqVhLmNKV2GGSdH0tbZgp5jfLjuyUjufncIo+4Mx9nHmrhtGfy14ABfPBnD+s+PEr8ni+qK2ku6tsbBAa+PPqQmK4v0+c8g6/UG0y1JEvP7zaegsoBlB5cZ7LqXgrO1lmk9Pfj5QBZlI1+D/JOwyzhaBG2ILMP2xeAYDMHjja1G0E78tPsUt3y2Ayuthj8eGiQMZkEjolKjcDBzoKtTVwAyd8WjU2vxCHUysjJBR8L+9tsx69aNrDffQldY2Oy6iMEeWNlrCYofQD/Xfry07SUO5hxsP6FtyJzhgXjYmvHSX0fRNdfRZdwbYO0Bfz541YVpi5xmwcXJOwmfj1UeRvvOhlkbwDm0RafKssyC/+J5fXUck7q5sfT2yA4VLrf59GaO5h3l/u73Y6I2Iettpbqy6/8902hdenwBaccL6D3Op128zBfD3NqU8EHuTJrTnXv+N5RJc7oR2MuZ03H5rF9+lM+f3MLfCw9wJCqV0oKWVcY279kT1/nzKd28mbxPPzOo3i6OXbg2+Fq+O/YdyUXJBr12S7l7sB/l1Tq+zw+F4HEQ9S6UZhtFi6CNSNkG6fth4IMtqq8g6NzU6vS8/NdR5v96mAEBjvz50BCCXER7MUEDtfpaYtJiGOI5BJWk/E1I2RIHgO8YEZotaEBSq3F/7VV0hYVkvftes+vUJioiJ/qRlVTCE64v4mbpxryN88gsy2xHtW2DuamaZyeHE5dRzA+7TjW9yMymIUx70xvtK9DIXNJThSRJUyRJek+SpM/rXpuOXxBcORz6GZYNg4JkuOk7JeTRpGWFu2RZ5u11x/jwvxNc39uLhTf3wlTTcR5k9bKeJQeW4GPtw9TAqZTGbKXk339xeuB+TDw8Gq3d9XcSFjamdDWSl/lCmJiq8e/hzKg7w7n73SFc+2Rvuo/ypiingqgfTvDV/23ll7d2s2dNMnnppRfM17G/7VZsJk8mZ+FCyrZtM6jOh3s9jFat5f09xgmb7eJhSz9/B77clkztmNehphw2vGoULYI2YvsSMHeA7jcbW4mgjSksr+auFbv4clsy9w7xZ8XMvthamBhblqCDcSD7ACXVJfWh2QAZSaWY1xTi0CXAiMoEHRGzsDAc77mHot9+o2zHjmbXhQ9yx8pBy9F/clg4ciGVukoe2fgIFbWGK9ZqLCZ3c6e/vwPvrz9OYXl104uCRkPvuxRn2ukrp2/1xWiRBSNJkrUkSVHAX8A8YFLd61+SJG2WJMmqDTUKjEFVKfw+B36bDW7d4IEYCJ/S4tP1epmX/jrKsqhEbh/gw3szuqO5jHzbtuS/lP84XnCcB3o8gLpWT9Ybb2Di64PDPfc0Wpd2vIC0E4X0Hu+LpgN4mS+ESiXhEWTH4OuDuO3VAdzyYn8GXBMAksTOvxL58dVdfPviDmJWxpMeX4j+nPAbSZJwf/UVTAP8SXviSWoyDbdz6mTuxAPdHyAqNYqYtBiDXfdSuGewP2mFFfyXY6P0793/reKZFHR+8k7C8TXQdxaYWhhbjaANOZFVwvQlW9mdVMB7M7rzwpSIDnd/EXQMolOj0UgaBnkMAkBfXU1ejS3O1i2LwBJcfTg99CAmvj5kvPgS+sqmw4/VGhV9JvqRnVyMJtWOd4e9y7H8Yzwf87xBCrQaE0mSeHlaF4oravjw3xPNLxz3Oth41lXT7vybBS2hpXeZN4HewB2AuSzL7oA5cGfd+NVZRu1KJeMQfDocDv4Aw+fDXavAzrvFp9fq9Dz96yG+3p7CfcMCeG16V1SqluU+txc6vY6PD3xMgG0Ak/wnkffVV1QnJeH23HOoTBsXh9q1KgkLW1O6DPVo5modE0mScPCwJHKCHzc804eZbw9m+K2h2LmYc3hzKr//bx8rno5h3z8pjc5TWVritXAhclUVafMeRa5uZqfxMrgt/DZ8bXx5d/e71OgN13+6pYyNcMXL3pwvtibD8KfBwhHWPiNaUF0JbF8CahPFaBZcsfwXm8W1S7ZSVqXjh/sGcEOflt+bBFcfUalRRLpFYmWq+HYyo/ZTY2KFR4TIZxY0jcrMDPdXXqHm1Clyl3zc7LqwQe5YO5qxe1USQz2H8njk46xPWc/SQ0vbUW3bEO5uw+0DfPlmRwrHMoubXnQmTDsvHjZdHWZgS43m64HnZVn+TpZlHYAsyzpZlr8DXqibF3R2ZBl2LoPlo6G6DO76C0Y+C+qWF+2qrtUz78cDrNybyqNjgvm/iWFILSwW1p6sS17HyaKTzOk5B312DrmfLMVq9Gishg1rtC71eAHp8Z3Dy3wxLO20dB3mydSHe3Lv+0MZP7srLr7WbP/9JMd3NvYoawMCcH/zDSoOHrxgbs+lYqI24ak+T5FUlMRPx34y2HVbilolcddAP3Yl5XMkDxj9IpzeAUcM36Na0I6U58OB76H7jWAtikBdiciyzJJNCcz+Zg8Bzlb8/fBgIn3tjS1L0IE5XXKaxKLERqHZp7YpnjO/0T2MJUvQCbAcMADb664j74svqDzWdAsmtVpFn0l+ZKeUkHw4j7u63MW0wGl8fOBj/k35t50VG57Hx4ZgY27Cy38dbd57HjgKImdeNWHaLTWaHYHmGrjG1s0LOjPl+fDjrbD2aaUVzwNbwX/Yxc87i8oaHXO+3cvqwxk8OymMR8eEdEiDuVZfyycHPyHEPoRxvuPIeucd0Olw/b//a7ROlmV2d1Iv88UwNdMQFOnCpAe74xFsx6Zvj5FzqqTRGpsJE3C46y4Kvv2WolWrDfbew7yGMdhjMB8f+Jj8ynyDXbel3NjXGwtTNSu2JisV4N26w78vKhtFgs7Jns+htgIGzjW2EkEbUFGt4+Ef9vPeP8eZ2t2DXx4YiLutubFlCTo40anRAI2M5szkcrT6chwCnI0lS9BJcH36KdR2dmS88CKyTtfkmtABbtg4mbHr70QAXhz4Ij2ce/BczHMcy2+m33Enwc7ClCfGhbIjMZ81hy+Qqjf2tasmTLulRnMS0FxC66S6eUFnJXkrLB0C8f/C+Lfg1p/A8tL2Qcqra7n3q91sOJbNa9d05b5hgW0ktvWsSlxFSnEKD/Z8kIodOylZuw7H+2Zj6tW4yFdanZc5coIvmg5U8duQqNUqxs/uirmVCWuXHqaitHEotsuTT2AeGUnGCy9QFR9vkPeUJImn+j5FeW05S/YvMcg1LwVbcxNmRHrx98F0cspqYeI7UJwGWxe0uxaBAaitgl2fQeBocAk3thqBgUkvrOCGZdtYfTiD+RPCWHBzzw7VgUHQcYlOjcbPxg8fGx8AdEVF5MqOONvWdMgNfUHHQm1nh+uz/0fl4cMUfPtt02vUKvpO9if3dClJB3PRqrV8NPIjbExteHjjw+RW5LazasNyaz8fwt1teGN1LBXVTW8cNA7TvrKrabfUaF4GPFxXNXuUJEnhkiSNlCRpGfAI0PkD+K9G9DrY/DZ8NQU0Wpj1r9Kq5RJvJsWVNdz5+S62n8zj/Rt6cMcA3zYS3Hpq9DUsPbiUCMcIRroOIfP1NzDx8sLx3nsbrZNlmV2rkrC00xIx5MryMp+LhY0pE+7vRnlxNeuXH0Wva+jRLJmY4PnBB6gsLUl9ZB66UsN4YwPtArk57GZWxq/keP5xg1zzUrhrkB/VOj3f7UwB30HQ5TrFaC5spsWCoONyeCWUZsEg4WW+0tibks+0xVtJzi1n+Z19mDMiUBg7ghZRVlPG7szdjbzMWZt2UmXmgGdXkcIhaBk2kyZhOXwY2QsWUpOW1uSakH6u2LqYs2tVErJexsnciUWjFlFUVcSjmx6lWme4ujDtjVol8fLUCNKLKlkadbL5hWfCtLcthtO72k1fe9Mio1mW5Q+Bt4HbgH+BI8AG4C7gbVmWhYums1GUBl9Ng81vQbcb4f5o8Oh1yZcpKKvmts92cuB0IYtv7c2MSK82EGs4/kj4g7TSNOb2nEvBt99RffIkrs8+i8qscRut1OMFZCQUXdFe5rNx9bNh+K2hpB4rYPsfiY3mTFxd8Pzgf1SfOkXG84arDDmnxxxsTG14Z/c77V5tMtDZipGhzny74xRVtToY+yogKWHags6DLCsFwFy6KGklgiuGn3ef5uZPd2ClVfPHQ4MYHS4MHUHL2ZG+gxp9DcO9G4zm09sSAPAdJiJSBC1DkiTcX3oJgIxXXmnyWUWlVtF3kh95qaUkHsgBINwxnNcHv87BnIO8uv3VTl1Ru3+AI1N7eLA06iSn88ubXzj2NbD1uqLDtFvco0GW5WcBd2AqStXsyYC7LMvPtZE2QVtxfC0sHay02rlmKVy3DLTWl3yZ7JJKbv50B8ezSvj0zkgmdXNvA7GGo0pXxbKDy+jh3IP+JiHkLlmC1fDhWI9q/LAtyzK7/1a8zOGDO/ZnMiThg9zpNtyTA/+e4sTuxvkrlv364fL4Y5SsW0f+V18Z5P1stbbM7TmX3Zm7+e/Ufwa55qVw92B/ckurWH0oQ6kOP+RROPq7kq4g6Byc3AjZR2HgQ5ccISPomNTq9Lz811Ge/vUQAwIc+fOhIQS5XPr9SXB1E5UahbWJNT1detaPZZ6uQEMNjr52RtMl6HyYeHjg8ug8yqK3ULx6TZNrgvu6YudqUe9tBhjnN44HezzInyf/5OvYr9tTssFRivrCm2viml9kZgPTFkFeAmx8vf3EtSOX1NhQluUCWZbX1FXRXivLckFbCRO0AbVVsHY+/HAz2Hor3uWet1zWpdIKK7hp2Q5OF5Tz5cy+jArr+F6AlSdWklWexdxec8l5733k2lpcn3v2vHWpxwrIOHn1eJnPZvCNwbgH2bLp62PkpjYuDOZwzz1YjRlN9nvvU75nj0He7/qQ6wm2D+Z/e/5HZW3T/RDbiqHBTgS5WPHF1iRlF3jQI2DjBevmK6kLgo7P9iVg5QrdZhhbicAAFJZXM3PFbr7clsw9g/1ZMbMvthYmxpYl6GToZT3RqdEM9hyMiUr5+ak+dYp8jTsu9roO1wJT0PGxv+02zLp3J+vNN6ktON/0UalV9J3sR356GQn7suvH7+9xP+N8x/HB3g/qC9N1RjzszHloRBBrj2SyLeECedqBIyHybuXefGpn+wlsJ1psNEuS5C5J0vuSJO2WJOlk3eu7kiS5taVAgYHIjVdaSe1cCv3nwKz/wCnosi6VnFvGjUu3k1tSxTf39mNQUMfvd1hRW8Hyw8vp49qHbqdUFK9aheOsezH18Wm0TpZldv2dhJW9lojBV3Yuc1Oo1Som3NcNraVSGKyytKGXsiRJeLz1FiZenqQ99ji1OTmtfj+NSsP8vvNJK01r951YSZK4e7AfR9KK2ZNSAKYWMO5VyDwM+zr3rvBVQVYsnNwA/WYrNRkEnZr4rBKmL9nKrqR83p3RnRenRqBRX9K+vkAAQGxeLHmVeQzzaugAkrd5O+WWbnh28Ig4QcdEUqtxf+1VdMXFZDfThjOojyv2bhbsXp2Mvs7brJJUvD7kdULtQ5kfPZ/EwsQmz+0MzB4WgLeDOS//fZTas2rfnMe41xTH3J8PXnFh2i26I0mSFAIcQCn6VQrsqnudBxyQJCm4rQQKDMCBH2DZcCWP+ZYfYeLbl/2QGZ9Vwo3LtlNeXcsP9w0g0tfBwGLbhp+P/0xuRS5zuz1A1uuvY+LhgePs2eetOx2XT2ai4mVWm1ydD2xKYbCulBZWsf7zI/V//AHU1tZ4LVyIrqSEtMefQK6tbfX79XfvzxifMSw/vJyssqxWX+9SuK6XF7bmJqzYWtcAoMt14DMQNr4GFYXtqkVwiexYAhpz6HPvxdcKOjT/xWZx7cfbKKvS8cN9A7ixj7exJQk6MVGpUagkFUM8h9SPnd6pGCte/fyNJUvQyTELDcXxnnso+v13yrZvP29epZLoO8WfgowyTu5t8Daba8xZOGohWrWWuRvnUlhZ2I6qDYeZiZrnJ0dwIquUb3ekNL9Qaw3Tr8wwbU0L170DFAP9ZVlOPjMoSZIvsL5u/jqDqxO0jqoSWP0EHPoJfAfDdZ+BrefFz2uGI2lF3PnFLtQqiZ/uH0iIa+fIMyuvKefzw58z0H0g/v8dIys+Hq/Fi1CZN+7zeaYvs5W9lvBBV5+X+Wzc/G0Zfksom745xs4/TzLw2oaoBLPQUNxfeZn0+c+Q89FHuDz5ZKvf7/E+jxP9RzQf7fuIt4a+1errtRRzUzW39PPh0+iTpBaU42VvobSgWjYcot6FCW+2mxbBJVCSBYd+ht53gkXn2LhrKbIsU1RRQ3ZJFTklVWSXVJJdfOZr5fuckipyS6tRqyQstWosTTVYapXDSqvGwlSDlVaDZaOvNViaquvXnTnPSqvBQqtGq2n/VBRZlvl480neX3+crh62fHpnpOi/LGg1Uaej6OHcA3szewDk2loy02tQuepw9bMxsjpBZ8bpwTkU/7OOjJdeJuCvP88rIhvU24U9HsnsXp1EYKRLfSqAm6UbC0Yt4O51d/Nk1JN8MvaT+tSBzsS4CFeGBjvxwb8nmNrDA0erZhxwASOgzz1KmHb4NPDp364624qWGs0jgQfONpgBZFlOkSTpZeBjA+sStJb0/bDyHihIhhHPwrAnQXX5D0V7UwqYuWIXNmYmfDerP35OlobT2sZ8f+x7CqoKmOtzOznPPoHl0KFYjR593rrTsflkJhYz/NbQq9bLfDYRgz3ITilh3z+ncPK2JrhPQ9667fTplO/fT97yzzHr0QObsWNb9V7e1t7c1eUuPjv8GTeF3tSoeEtbc+dAXz7bksg321P4v0nh4N5DMcZ2LVNaKDiHtJsWQQvZ/RnoamDAg8ZW0mJqdHrySqsbjODSKrKLG4zgM0ZyTkkV1U2EvpmZqHCxNsPFWkuIqzWDArXIyJRV6SitqqW8upaiihrSCysor6qltKqWsmodOn3LqraaqKU6w7rOoG7y63ONcsXgtjpnrZVWg1ajumB7qIpqHU//eoi/D6YzrYcH787oLvovC1pNVlkWcflxzOs9r36s8sgRCi28cXaSUGvEvV1w+ajMzHB/5VVOzZxJ7pIluDzxRKN5SSXRd7I//3x2hPjdWYT2b8hg7eHcg5cHvcxzMc/x7q53eW5A56ujLEkSL06JYMKCLby//gRvXdet+cVjX4X4/5Qw7QdiwKTzb4i21Gg2BUqamSupmxd0BGQZdnwM/74EVi5w1yrwG9yqS24/mce9X+3GxVrLt7P6K964TkJJdQkrjqxgmNcwnFaspriqCrfnnj3vYe5MX2YrBy3hg0TO0xmG3hhMXmopG7+Ow8HdEkdPq/o512efpfLIUTL+71nMgoMx9fNr1XvN6jaLPxL+4J1d7/Dd5O9QSe3zcONhZ86ELm78sOsU88YEY2GqgVEvKJW0/3kWbl/ZLjoELaS6HHZ/DqGTwDHQ2Gooq6pt5AVuyiDOKakiv7yaprqO2FuY4GytxcXajAAnS5yttcr3NmY4W2lxsdHiYq3FSqu55B7FsixTVaunrKqWsiodZdW1lNUZ1OXVirFdds7XZVU65bVubU5JVb1RXlala9Kgbwq1SsLCVDGoz7xaajV1BreaY5klHM8qYf6EMB4YHiD6LwsMwpa0LQCN8pkLtuygxCqI4O5XdwSZwDBYDuiP7XXXkffFCmwmTcIsvHELs8Bezjh6WrF7dRLBfVxQnVWbYVrgNBIKElhxdAXB9sHcGHpje8tvNcGu1tw10I8V25K4rb8PXT1tm154Jkz76+lKmPb4N9pXaBvQUqP5APCwJElrZVmuv2NKyl3uwbp5gbEpy4U/HoT4fyB0Mkxf3OrQxU3Hs3ngm734OFjw3az+uNiYXfykDsS3sd9SXF3MQ9Ioiv58Hsf77mvSuDsVm09WUjEjbgsVO9FnodaomHB/V35+czdrlh7mhmf6YGaphBSpTE3xWvARSdddT+oj8/D76cfzQt4vBQsTCx6LfIxnY57l75N/Mz1ouqE+xkW5Z4gfqw9n8Ou+NO4Y4AtWzjB8Pqx/Dk78AyHj202L4CIc/AEq8mHQ3DZ7C71epqC8+qwQ6XM8wvWGcSVl1edXWteopDpDWIuXvTm9fOxxOWMMnzGIrbU4WZm2aVi0JEmYmagxM1HjaHXx9S2hulZPeXWdJ/ssQ/xsw7y0qpbyqqaN8oLyCsqqalFJsPzOPqL/ssCgRKVG4W7pTrBdQ6mdtN1JYBGCV1dRt1ZgGFyfforSqCgyXngRv59+RFI3/B2XVBL9pvizdtlhTuzOImxAY0fMvN7zOFl0krd2voWfjR/93Pu1t/xWM29MMH8eSOPlv47yywMDm9/0bBSmPRV8BrSrTkMjtaThtiRJE4BVwEngJyADcANuAIKBybIsr29DnUalT58+8h4DtdhpM5Ki4dfZysPkuDeUirKt3LlfdySDh3/YT4irNd/c2x8Hy84VUFBUVcSEXycwwKUvDy86ha64mMDVq1BZNPaUy7LMynf2UlFczW2vDhBGcxNknCzijw/24RXmwOSHujdq2VG6JYbT992H7bSpuL/9dqs8RnpZzx1r7iC9LJ1V167C0qR90gBkWWb6kq2UVdXy72PDlc9XWw2fDFSiNx7cAZrO9fN/RaLXw5K+yg727E2t+ht3Or+cqBM5dYZxg0GcXVxFbmkVtU2ENVtpNQ2e4PpXs4avbZTv7cxNRFsbgaCdqaytZNhPw5gWOI3nBzwPgK60jLU3vcYp77HM+mg4pmYt9RUJBBemaPVq0p94Epdn5uM4c2ajOVmW+fnN3VRX6rjt5f6NvM0ApdWl3L7mdnIrc/lh0g9423S+4oc/7T7F/F8Ps+DmnkzveYF6SVUl8PEgUJsoYdqmHTtaVZKkvbIs92lqrkV/PWRZXidJ0hTgdeA5QAJkYC8w5Uo2mDs8ulqIegei3wPHILjtF3Dv3urL/r4/lSd/OUQPL1tW3N0PW/POV7Dgq6NfUVZTxv2J/lQd/xfPjz46z2AGSDmSR3ay8DJfCPdAW4beFELU98fZ9XciA6Y3hMVaDR2C09yHyF20GPNevbG/+abLfh+VpGJ+v/nctuY2Pjv0GY9GPmoA9RfnTPupx346yJaEXIaHOCtG8vi34PsblPzmQQ+3ixbBBYj/R6nIef3nrTKYy6pqmbF0G1nFVUgSOFqa4myteH9DXK0bG8Q22vowaQtT8cAtEHRUdmfupqK2guFew+vHynftotA6AEcntTCYBQbFZtIkiv76i5wFC7EeMxZTrwbDUZKU3Oa1Sw9zfGfmecVlrUytWDRqEbesuYWHNz7Mt5O+xcrUQOFA7cQNkd58t/MUb66JY0y4K5baZn6/tNZK5OvX05Qw7U5cYLWlLaecgM11lrc14A1Yy7LcT5blf9pSoOAiVJcq4Yo9b4X7NhvEYP5uZwqP/3yQ/v4OfHNv/05pMOdX5vNt3Ldc4zAS6bMfsBw0EOvx485bd6ZitrWjGWEil/mCdBnqQcRgd/auTeHk/uxGc05z5mA5bChZb7xBxeHDrXqf7s7dmRY4ja9jv+Z0yelWXetSmNzNA2drLV/EJDUMhoyD4HFKJe3S7OZPFrQP2xYr/R8jrmnVZZZFnSSruIpv7+3Pidcnsuf5saydN5Sv7+nHZLZAdwAAxUBJREFU+zf04OkJYdw92J/J3d3p6+eAn5OlMJgFgg5OVGoU5hrzRuGuxTHbKLHxxbO7uL8LDIskSbi/9BJIEpmvvMK5kbv+PZxw9rFmz5pkdE3UgvC28eaD4R+QUpzC/C3z0enPT/XpyKhUEi9N7UJWcRVLNiVceHHAcKU95I6PIXVv+whsA5o1miVJUkuS9LIkSQVAFlAsSdKvgKksy2myLJe3m0pB85jbwf3RcM3HoG39LtXyLYk89/sRRoa68MXMvs3vHHVwvjj8BVW6Km6PktFXVuL6/PNNhg2nHMkjO6WEPpP8UKuFl/lCSJLEsJtDcfW34b8v48hLL22YU6nweOcdNM7OpM6bR21BQavea17veWhUGv6353+tld1iTDUq7hjgS9SJHBKyGz4b49+EmnKld7PAeKTvh5QY6H8/qC//71JqQTnLohOZ3tODIcFOmIjfe4Gg0yPLMltSt9DfvT9adUMbnPR9yehVJniEXFmt6QQdAxMPD1wenUfZli0Ur17TaE6SlNzm4txKjm/PbPL8fu79+L/+/0d0ajQL9i9oD8kGJdLXnut6ebJ8SxLJuWUXXjz2VRj3ukGce8biQk8LDwAvAvuB94E/genAh+2gS3ApGKBPqSzLLNwQz+ur45jUzY2lt0d22vYfOeU5/Hj8R2bKA9Gt+hfHu+5EGxBw3rozXmYbJzNCB4gCIS1BbaJiwn3dMNGqWbv0MFXlNfVzGnt7PBcsQJeTS/pTTyPrLn/X1MXChfu638eGUxvYkbHDENJbxK39fTBVq/hqW3LDoFMw9H8A9n0D6QfaTYvgHLYvAVNrpR1YK3hn3XEkCeZPCDOQMIFAYGwSChNIL0tvFJpdk55ObrlSF8MjyM5IygRXOva33YZZ9+5kvfnmeQ4D326OuPjWeZtrm+48cGPojdwUehMrjqzgr5N/tYdkgzJ/YhgmaonXV8ddeKHWSingqe580atnuJDRPBv4TJblUbIsz5dl+QbgIeB2SZJERZwrCFmWeWfdcT749wTX9fZk4c29MO3Eub3LDy9HV1vDpN/T0Li64jRnTpPrUg4rXubIicLLfClY2WuZcF9XSnIr+XdFLPJZBZPMu3XF9fnnKYuJIffjT1r1PndE3IGnlSfv7HqHWn1ta2W3CCcrLdN7erBybypFZ20IMOwpsHCEtfNpsm+QoG0pSoUjvykGs1kz7S1awJ7kfP4+mM79wwLxsOv8PSMFAoFCVGoUAEM9h9aPlW3bRqFdEPaOGsysOu+DuqBjI6nVuL/2KrriYrLffa/xnCTRb2oAJfmVHNue0ew15vebT3+3/ry87WUO5hxsa8kGxdXGjIdHB/NfXBabj1/ZaWwXshQCgF/OGfsJUAO+baZI0K7o9TIv/3WUpVEnua2/D+/P6IGmExuQmWWZ/HLiFx5P64b+WAKu859GZXl+BeYzfZmFl/ny8AiyY8iNwaQczmPX6qRGc3Y33oDtNdeQ+/HHlEZHX/Z7aNVanuzzJAmFCaw80X69ku8e7E9FjY6f9pxqGDS3g9EvwOkdcOTXdtMiqGPnMuV1wAOXfQm9XubVVbG42Zhx//DzI08EAkHnJTo1mnCHcFwtG1qYlWzdTpFtIB4RLkZUJrgaMAsNxfGeeyj6/XfKtm9vNOfTxQFXfxvF21zTtLfZRGXC/0b8DzdLN+ZtnEdmWdPh3B2Vuwf74edowaurYqluxqN+JXAh68gKKD5nrKTu1bpt5AjaE51eZv6vh/hqewr3DQvg9Wu6dvo2KZ8e+hSrcj19/zyBRf/+WE+c2OS65EO55JwSucytoetwT8IGubNndTKJB3LqxyVJwu2lF9GGhJD+1NNUp6Zd9nuM9hlNP7d+LD6wmKKqIkPIvigRHjb093fgq20p1J5dvKPXHeDWHf59EapFSYd2o6oE9n4FEdPBzueyL/Pb/jQOpRbxzMQwUdRLILiCKKgs4GDOQYZ7N4Rmy3o9WQeS0am1eITYGU+c4KrB6cE5mPj6kPHSy+grK+vHFW+zP6UFVcRtS2/2fFutLYtHLaZKV8UjGx+hvKbzPGdoNWpenBpBYk5Z4/S2K4yLWQuekiQFnDlQvM/njdfNCToRNTo9837czy97U3l0TDD/NzGsVf11OwKpJan8Hv87z+zzRi6vwO3555r8TPVeZmdzQvsLL/PlIkkSw28JwcXXmv++jKUgs6EIhMrcHK+FC5B1OtLmzUNfVXXZ7/F036cpqS7h4wMfG0r6RblniD9phRX8G5vVMKhSw8R3oDgNtna+gh2dln3fQFURDJx72Zcoq6rl3XXH6Oltx7QeHhc/QSAQdBpi0mLQy/pG+cyVsXHkqxWvs8hnFrQHKjMz3F95lZpTp8hdsqTRnHe4A24BtuxZm0JtTfP1XgLsAnhn2Dscyz/GC1tfOK8id0dmVJgrI0OdWbAhnuySyouf0Am5mNG8Eog/6zhWN/7HOePxbaRP0AZU1uiY8+1eVh3K4NlJYTw6JqTTG8wAyw4tIyhDxj/6JA633442OLjJdUkHc8k9XUrfSX7nNZwXXBoaEzUT7u+GxkTFmk8OU13RkHts6uuLxztvU3n0KFlvvnXZ7xHqEMoNITfw0/GfSCi4SFsDAzEm3BVvB3NWbE1uPOE7CLpcB1s/gsL2a4d11aKrhZ2fgM9A8Iq87Mt8svkk2SVVvDg1otNH0wgEgsZEp0bjaOZIhGNE/VjZ1q0U2gZibW+Klb2ZEdUJriYsB/TH9vrryPtiBZVxDYWxJEmi3zR/ygqriI1pPrcZYJjXMJ7o8wTrU9az9NDStpZsUF6YEkFVrY731h03tpQ24UIWw93APU0czY0LOgHl1bXM+moP/8Vl89o1XblvWKCxJRmElOIUViX8xWNR1qidHHGa+1CT6/6fvbuOjuLsAjj82427uxISEhxCEtzd3aFUkLa0xbVAoTiUUqBKXXB3d7egAUJC3N1lbb4/QtPyFQmwyyZhnnM4wGZm9gaS7N6573uvIAhc2ReJhZ0R1YIcnniM6MWYWRvScVQtslMLOfrb443BzNq2xWbUSLI2bSJrx86Xfo6x9cZirGfMsivLXsudVx2phBGNPbkclcGd+P9bFt7+85Lfj8zWeBxvvPt7ICvmlarMcZkFrD0TQa96zvi7W6kxOJFIpG1ylZxz8edo4doCqeSft7R558+Tbe2Ls684akr0ejlMmYKOpSWJs+c8NkXE1dcKJ28Lgg9GoZA9e7rIWzXeomfVnnx741uORB/RdMhq42VnyrvNqrDlWhw3YrO0HY7aPTVpFgTh9xf59TqDFr2cnCI5b/18mfMP0/iif12GN6o8/dy+u/kd7W5JsIpIw2HqVHRMnzyz+u8qc0BXscqsTi7VrGjaz5vIm2lcPRD12Mfsxo3DuGFDkubOpej+/Sdf4DmsDK0YW28sFxIvcDL25CvHWxYDAt0w0dfhl3OPNzrD0g2ajoeQHRB17rXE8kYSBDj/NVhVAd8n9yYoi8UH7iOVwFRxxJRIVOncSLlBrjyXFq4tSh9TFRSQfi8OmY4xzj6W2gtO9EbSsbTE8dOZFN25Q8aff5Y+/ncn7fxsGSFnnr63+e9j5zSeQ127unx69lPupT9nnFM58nEbH+zMDPhsdwgqVcVZXl4WYtbwhsjMlzHsp0vciM1izWB/+jVw1XZIavMw6yGnQvYx7BQYBwRg3q3bE48TVCV7mS3sjagWKFaZ1a1Oa1d8GzpyeW8kUbfSSh+X6OrisuILdCwsiPtkHMqc/+8vWDYDfAfgZeHF8qvLkSll6gr7qcwN9ejXwJW9NxP/uz+n6Tgwd4WD00D18vOoRc8Qexnir0LjsSX7yV/ClagM9t1K5P2W4ogpkagyOhV7Cl2pLo2dG5c+VnD1KpkmnoC4n1mkHWadO2PasiWpq1Y/1gzV1dcKl2qWBB+KRv6carO+jj5ftf4KCwMLPjnxCWmFac88vrwwNdBleic/bsZmsS04TtvhqJWYNL8BUnKLGLT2IveTcln7VgO61nHSdkhq9c2Nbxh2Rop+oQKH2bOfuj874mYq6XHiXmZNkUgktBrqi52bGUd+CSEr+Z/Oj7q2trh8tRJ5QgIJM2a+1BJrPakeUwOnEpsby1/3/lJn6E81ooknMqWKdRdjHv+AvjF0+BySbsP1P598sujVXFgDhpZQb8hLna5SCXy+5y5OFoaMqSTbUEQi0eNOxZ0i0CEQE71/RkvmnztPtlU1jEz1sLAXb5aJXr+/p4hIJBKS5s177D1PUPcqFOTICDn9/Mkitka2rG69muzibMafGP9aCgbq0Lu+C/XdLVl6MJTcIrm2w1EbMXOo5BKyChn0w0ViMwv47e1A2vhVrgrr/Yz7hF88TOtgGVZDh2DoW+2JxwkqgSt7o7B0MMZHrDJrjK6+Dp3G1EKqK2X/d7eQFf3TGMzY3x+HqVPIO3aMjJ9/fqnrN3VpSivXVvxw84fXctfVy86UNn72rLsUTbHi/+4K1+xT0qDq2HwozNJ4LG+UjAi4txcC3gX9/85ZL4ttwXHcji8ZMWWk/3KVapFIVH5F50QTlRP12KgpgPzz58i288O5mmWlaHIqqpj0nJ2xGz+e/DNnyNm7r/RxZx8rXP2sSqrNxc9fqVbdpjoLmy3kZupN5l2YVyE6akulEuZ2r0l6fjFrjr+eBq6vg5g0V2LR6fn0//4CqbnF/PleEE28bbUdktp9E/w1o4+AjpUVdh9//NTjIm6kkh6fR4BYZdY4cxsjOo6qRVZKIcd+u/dYYzCr4cMx69yJlC9Xkn/p8ktdf3LgZGQqGauCX8/Yp3eaepKWJ2Pvzf/reCmRQKclUJAOp5e/lljeGBe/B6kuBI1+qdPzixUsOxRKfXdxxJRIVFmdjjsNQAuXf/Yzy5NTyI5Jp1BiipO4NFukZVZDh2BYtw7JixejyMwsfTyoWxUKc+XcOfX8ajNAe4/2fFjvQ3Y/3M3CSwuRK8t/9baumyX9G7jyy9lIwlPytB2OWojZQyUVnpLLgB8uUCBTsGF0Ixp4VL4OknfS7sCBE1SNV+IwZSo6ZmZPPO7vvcxilfn1cfW1okmfqkTcSOXaoejSxyUSCU7zF6Dv6Un8xInIk1Ne+Noe5h4Mrz6cneE7S74GNKyZty0+9qb8ci7yv3d4neuB/3C49D2kPtB4LG+Ewky4/hfU7gfmL7eV5NuT4aTmFjOnWw2x0iQSVVKn4k7hZeGFm7lb6WP5F86TZeENIDYBE2mdREcHp8/no8zJIWXpstLHnbwtcatuRfDh6MdW5D3L+3XeZ0SNEWwK3cQ7h94hKT9JU2GrzZSOfhjp6fD53rsVokL+PGLSXAmFJGQz4IeLqATYOLoxtVwstB2SRvx4fiXDTgjo16uDRc8eTz3u4fVUMhLyCezqKc5ofY3qtnXDJ9CBS7sjiL6TXvq4jqkJrqtXoSosJH7CBAT5i98xHV1nNNaG1iy5vETjP4glEgnvNK1CSEIOV6Iy/3tAm9mgZwyHZmo0jjfGtd9Anl/SAOwlxGYU8OOZyEd7qsQRUyJRZZQny+Na0jVauv7f0uxz58l2qIm+oQ42Lk+eoiESvU6GvtWwee89snfuJP/8+dLHg7p7UZRX9mqzRCJhcuBkvmj5BWGZYQzcO5DLiS+3Yu91sTMzYFw7H04/SOXYvRcvkpQ3YtJcyQTHZDJ47UUMdaVsHtMYX8cnV18ruhspN/DYdAGzInD5bC4S6ZO/lAVVyVxmK0djvAPEKvPrJJFIaD3cDxsX05LGYCn/NAYz8PbGaf7nFAYHk/LFFy98bVN9U8b7j+dm6k32R+5XZ9hP1Lu+C5bGevz6/+OnAEztoeVUCD8CDw5rPJZKTSGDSz+AVytwrP1Sl1hy4D46EglTO/mqNzaRSFRuXEi8gEJQPDZqShAE8i9cIMe2Oo5VLcWb5KJyw/bDD9D38CDxs7moCgsBcPSywL2m9QtVmwE6enZkQ9cNWBpYMurIKH6+/XO5ruKOaOKJt70p8/fd/W9vmApGTJorkQsP0xn+0yWsTfTZ/H5jqti+XAOdimDTniV0DBYwH9Afw+rVn3pceHAKGQn5JXOZxRfQ105PX4cu79cGCRz4/vZjLwwWXbtiNXw4Gb//Qc6BAy987Z7ePaluXZ2V11ZSIC94/gmvwEhfh0GB7hwKSSI24wnPFTQGbLzh0IySxE/0ckK2Q24iNP7opU6/HJnBvtslI6acLMSuuSJRZXUq9hRm+mbUs69X+ljxgwcUZheRK5ji7FM5V9iJKiapgQGOn3+OPDaWtG++KX08qJsXxfkKbp14sdFMXpZerO+6nvYe7fkq+CvGnxhPrixX3WGrhZ6OlM+61yA6vYCfzz6h8FCBiElzJXEyNIW3f72Ms6URm8c0xtXKWNshacyVxMsEbbiJ0swYpwkTn3pcSZU5qqTK3ECsMmuLua0RHd+rRWZiPsf/uP/YHVGHKZMxqlePxE9nUfzw4QtdVyqRMi1oGskFyfwW8puao/6vtxp7IJFI+PNi9H8/qKsPHRdDejhcXqvxWColQYALX4OdH3i3e+HTVSqBz/eG4GxhyOgWXhoIUCQSlQcqQcWZ+DM0c2mGrlS39PH8s+fItigZLyfOZxaVNyYNg7Do15f0X3+j6O5dAByqmONR24YbR2KQFZa92gxgomfC8hbLmRo4ldNxpxm8bzAPMstnb5XmPna0r+HA18fDScou0nY4L01MmiuBg3eSGPXHVbztTdk0pjH25obaDkljBEHg5I/z8IsDpylT0bF4+t3k8OAUMhPzCexaRawya5lbDWsa9a7Kw+AUrh/+Z+axRF8fl69WIjE0JO6Tcajy81/oug0cGtDRsyO/3vlV400xnC2N6FTLkY2XY8gvfsKLW7UO4N0eTi2FvIq/d+e1izxdMve68diSzuQvaGtwHHfic5gmjpgSiSq1O2l3yCjK+O9+5vPnyfFogI6eFHsPcy1F92xZSYlsX/wZJ35by71zp8hOSSrXS2tF6uUwZQo6VlYkzp6DoCh5HxHUrQrFBQpuHo994etJJBKG1xjOzx1/pkBewLD9w9gbsVfdYavF7K41aFLVFrlSpe1QXpqYNFdwGfkyJm6+QW0XC9aPaoS1ib62Q9KoCw+O0WxXBPnVXLDt2/+px6n+rjI7mVC1gf1rjFD0NPXbu+PdwJ6LOx8Sc/efxmB6jo64fLkCWWRkyQvJC76BmNBgAipBxcprK9Ud8n+829STnCIF24OfspSq4yKQF8Dx+RqPpdK58DWY2EHtAS98al6xguWHQvEXR0yJRJXeqbhTSCVSmrk0K31MVVxMwdWrZNv44uBpjo5e+Xx7e3H7RqJv3+TWsUPsX72cnz4eyXejh7Fj2edc3L6J6Ns3KC7Q7HYjkfboWFjg+OlMikJCyPjzLwDsPczxrGPLzWOxFBe83Cgpfwd/NnffTA2bGsw4M4OFF8vfWCp3G2N+GhGAm3XFXQmr+/xDROWZtYk+v78bRA0nc0wMKvd/pyAIhK74nKACcF+w4qnNvwAeXiupMncYWVOsMpcTEomENm9VJzMpn8M/hdB/RiAWdiX7Tk0aNcJu/HhSv/wSo/r1sR4+rMzXdTF1YUTNEfx4+0cG+w1+bI+buvm7W1HX1YJfz0cxtKHHf7+27KqV7G+++C0EvFcykkr0fKmhEHYYWs0EvRdfKfPtiZIRUz++FSCOmBKJKgGVoKJIUUSBooBCeWHJ74qS349GH6WeXT0sDP5ZaVZ47RpyBWTLTfEup6OmcjPSuHf2FHXadaLVWyNJi40mKTyUxLCSXxHXHnVClkiwcXHDyce35Je3LzZu7kil4gqaysCsUydMd+0mdfVqzNq3Q9/VlaBuVdi86Ao3j8US1P3lthfZGtnyY4cfWXVtFb/f/Z27GXdZ0XIFjiaOav4M3lyVO8t6QwR6Vr4ZzE9y7sx6As+kkt0pCLM6dZ96nOpRx2xrZxO8/cUqc3miZ6BD5/drs2XxVQ58f5u+UxugZ1DyRsBm5HsU3rhB8tKlGNaqiXH9+mW+7sjaI9kZvpNlV5bxV5e/kEo0U2X4e/zU+E03OB2WSivfJ3x9tZwKtzbBwenwzoGXWmr8xrnwDegaQuB7L3xqbEYBP52NpE99F+q5Wao/NpFI9FRKlbI0mS1UFFIgL/jP35/1sSf9/e9fzzIlYMpjf88/f55s62oIQvndz3z9wB4ElYqAbr3Q0dXFoUpVHKpUpW77LgAU5eWR9PBBSRIdHkr4lYvcOXEEAD1DIxy9vHHy8cXxUSJtavVmvPerbCQSCY6fzSGiazeS5s7D7ce12Lmb4VXPjpvHYqnTxg1DE72XuraeVI/JgZOpY1eH2edmM3DvQJa1WEZDp4Zq/izeTGLSLKoQlColuUu+xNBQiv/sZ48oCr+WTGZSAR1H1UIiVpnLHQs7Yzq8V5M9X9/kxJ/3aP9eTSQSCRKpFOcli4ns24/48ROosn0bujY2ZbqmsZ4x4/zHMevcLPZF7KN71e4ai79LbScW7b/HL+einpw0G1lC29mwZ1xJN+hafTUWS6WQlwo3N0K9wWBi+8KnLz5w79GIKT8NBCcSVS6CIJBamEpqYerjSav8ycnr8xLdYmXxCz2/ka4RRrpGGOsaY6RX8ruxrjG2hralfzfSNcJYz/ixP5eeo2uEiZ4J3pbej10379x58n2aI5FKcPAqf/uZiwsKuHnkAD6NmmJh/+TKn6GpKZ51/fGs6w+U/F9lJSeWVqITw0K5uncHKmXJ2B4zWzucvP+pRtt7VUVP3+C1fU6il6fn5ITdhAkkL1xIzt69WHTvTmC3KkTcSOXmsVga9ni1ZpYdPDvgbeXNhBMTGH1kNB/X/5j3ar0nrsR6RWLSLKoQLvy+DM+IAlI+6oOhtd1Tj1OpBK7ui8La2YSq9Z9+nEi73Gva0KinFxd3RmDnYU799u4A6Jib47p6FVGDBhM/aTLuP/+ERKdsS9K6V+3Oxvsb+eraV7R1b4uxnmb2zejrShneyIMVRx4QnpKHt73pfw+qPxyu/ASH50C1zqBfcffwaNzVn0FZDI3GvvCplyLS2X87iYntq+FoUXkbIIpEL0OulBORHUFoZiihGaGlv2cVZz3zPKlE+sSE1VzfHEcTxycmvqWP/V+C+++/G+oaamQVkCI9neJ798ju+h52tqboG5a/t7a3jx1EVlhAYPc+ZT5HIpFg5eiMlaMzNZq3BkAuKyYlMoKk8FASwkJJCg/lwcWzAEh1dLDzqFKaRDv5+GLp6CwmSuWU1ZDBZO/dQ/KixZg0a4atqxVV69tx83gsddu+fLX5b14WXmzouoHPzn/GquBV3Eq9xcJmCzHTN1PTZ/DmkYhd+54vICBAuHr1qrbDeGPJcrK53rYZ2RY6tDlwGV29pzc7C72UxNFf79JxVC28xQZg5ZogCBz68Q4R11Pp/kk93Kr/s9Qsa/sOEmfOxGbMGOwnjC/zNW+k3GD4geGMrlNyZ1VT0vOKabzkOAMCXFnQq/aTD4o6B791gZbTofUMjcVSockLYWUtcGkAQze/0KlKlUCPr8+SmS/j+ORWGOqJ+/1Eb67MoszSpPhB5gNCM0J5mP0QhaqkQ6+BjgHelt74WvtSzaoazibOT67m6hmjL9WvUIlW9p69xE2dwZk2q6jV2o1m/Xy0HdJjlAoFP30yEksHRwZ+tkTt18/Pyixd0p0YFkrSwzDkRSXL2w1NzXDyrobjoyTa0bsaRqZi0lReFIU+ILJvXyy6dsV56RLS4/PYuOAyDTp60KhXVbU8hyAIrLu3jhVXV+Bs6syXrb7E19pXLdeujCQSyTVBEAKe9LHXejtOIpG4AtOAAKAuYARUEQQhqoznRwEeT/hQb0EQdpbh3LOCIJS9w5CoXAheMg2zXAX58z96ZsKsUglc3R+FjYupWGWuAP5pDFbwqDFYAOa2JY3BLPv0pvD6ddJ/+AGjunUxa9O6TNesZ1+PzlU683vI7/T16YuzqWY6KduYGtCrnjPbrsUzpYMfFsZPuCPs2RRq9oZzX0H9YWDpppFYKrRbm6EgDZp89MKnbrsWR0hCDqsH1xcTZtEbQ6lSEpMb80/1+FEFOaXgnzF3dkZ2VLOuRlOXpvha+eJn7Ye7uTtSQUrU7XTunUhEbqCDdycPbOyesFKmgsk/f548pxooleVzP3PohTPkpafRfuSLr6YpCxNLK7wDG+Ed2AgAlUpJelxs6ZLupPBQIm8Gw6MimZWTy2PVaFt3T3R0y191/k1g6FsNm5Hvkf79D5j36I5N06Z4+9tz60Qcddu5YWT66hNxJBIJw2oMo6ZtTSadnMSw/cOY03iORrexVVavtdIskUhaAZuAa4AO0IEXT5rvA3P/70OhgiBkluHcl0qaxUqz9uQ/CCWyVy+CAywZ9vu5Zy7t+rvK3GlMLarWF6vMFUVWcgFbllzF3NaQPlMaoPdoxq6quJjowUOQxcZSZfs29N3KlnQm5iXSY2cPWrm1YnnL5RqL+15iDp1XnWFGZz/GtHzKHeGsGPg6EHy7QP9fNRZLhaRSwbeNQNcAxpx+oYZpuUVyWn9xCg8bY7a+37hCVcVEorLKl+eXVo3/TpLDs8JLm2TpSnTxtPDEz9oPXytfqllXw9fKFxujx3tB5GcVc/dcAnfPJpCXWYyJpQGyIgXyYiXe/vYEdPXExrliJs+CIBDeqjWxtftzT1Gd975ojqHpqy1rVSdBEPhz6seoVCpGLP/6mVM/NKm4oIDkiLDHKtIF2VkA6Oob4OBVFUdvX5x9fHH09sXMxlb8ufqaqIqLiezZC0GpxGv3LrIyVWyYfwn/Du407u39/Au8gLTCNKacmsLV5KsM9B3ItMBp6OmUn++X8qDcVJqB04IgOABIJJKRlCTNLypNEISL6g1LVB4JgsD9WRNR6YPb5OnPTJhVShVX9kVi42KKV12xylyRWDoY0/7dGuz79hYn/7pPu3dqIJFIkBoY4LJ6FZF9+xH3yTg8N6xHavj8fatOpk68Xettvr/5PYP9BuPv4K+RuKs7mdPIy5o/LkTzXrMq6Oo84evT0h2ajodTSyBoFHg00UgsFVL4UUgLhd5rX7jD+LcnH5KWV8zPI8QRU6KKTxAEEvITSpPjBxkPuJ9xn7i8f+bBm+ub42vtS1+fvvha++Jr5UtVy6ro6zy5EiUIAnGhmYSciifiZhqCSsCthjXNB1bDs7YNskIlN47FcOt4HOHBKXg3sCegS8VLnmUPH6JITiaraVWsDU3KVcIMEH3rOqkxUXR8f5zWEmYAA2Nj3GvVxb1WyeQRQRDISU0hMew+ieEPSAy7z42De7i2dwcAplbWpUu6nXx8cfTyQa8Mr7+iFyc1MMDx83nEvDWC1K+/xmHKFHwCHLh1Mp66bd0xNn/1avPfSsdSBa/it5DfuJd+jxWtxLFUZfVak2ZBEFSv8/meRSKR6ADfAYOAPoIgHNVySKL/k7l/H8a3Itjb25nJtXs889iwK8lkpxTSeUxtsWN2BeRZ25aG3atwaXck9h7m1G1bUlXWd3XFZdlSYse8T9K8z3FatLBMSdI7Nd9he9h2ll5ZyoauGzQ2gurdplUY/ec1Dt9Npkttpycf1HQcXP8TDkyD0SdBnLVZ4sLXYOYMtcreGAcgJr2An89E0sffhbriiClRBVOsLCY8K/yxpdUPMh+QK8sFQIIEd3N3qttUp5d3L3ytS5ZXOxg7lOlnX1G+nPsXEgk5k0BWcgGGJnrUbetGzebOWNr/05DQ0FRKo55VqdfW/Z/k+VpJ8hzYpQrWziYa+zdQp/zz5xGQkJZnSLValtoO5z+u7NmOiZU1fs1aaTuUx0gkEizsHbCwd8CvaUsAlAo5qVGRpQ3GEsNCCb9y4dHxUmzdPXDy9sWrQRBVGwRpM/xKxyQoCMv+/cj47XcsunYlsKsn4VeTuX4khqZ91Vtt1pXqMilgUulYqgF7BrCs5TIaOTVS6/NURhVxE0N3iURSQMny7uvAkuftZ/5/EonECNgANAZaCYIQrPYoRa9ElZ9P3KL5xDpAw/dnP/PNQkmVOQpbN1Oq1HvxkTWi8qFBJ09SonM5ty0cW1dTXHytADBt2RLbDz8g7dvvMPKvj1X//s+9lrGeMRMaTGDGmRnsfribXt69NBJz2+oOuFkb8eu5yKcnzfrG0P5z2PZeSfLc4G2NxFKhJN6CyFPQbh684NKwxQfuoSOVME0cMSUq59IK00oT4/sZ93mQ8YConCiUQsnIICNdI3ysfOjs2bm0QVc1q2ov3PlfEARSonK5czqOsKspKOUqHL3Mafd2dao2sEf3GXv+DU31/kmej8Zw60RJ8uzTwJ6ACpA85507R5FPIHKZCmdvC22H85jkyIfE3L5B8yFvo6tXvirgT6Kjq4ejdzUcvasBJftdC3KySQp/ULqkO/TCGW4dO0jD3gNpOnCYuNJHjewnTyb3xEkSZ83Gc/MmfIIcuHMyjvrt1Vtt/lt7j/Z4W5aMpRpzZAwf1/+Yd2u9q7EiQ2VQ0ZLmPcAVIBJwAD4CdkgkkuGCIPxVlgtIJBKrR9dxApoIgvBQU8GKXl7yt9+gl57DqU+qsdS95TOPfXA5mezUQjq/X1v8AV6BSaQS2r1dg61Lr3Lopzv0nxGImXXJcjDbsWMpvHmL5PkLMKxeA6NaNZ97vS5VurDh3gZWBa+ivUd7TPTU/+ZPRyphRGNPFuy7x+24bGq7PuVNW62+cPlHODYfavQqmeX8JrvwDeiZQIMRL3TaxYh0DtxJYlL7ajiYi0sFReWDXCUnKjvqsaXVoZmhZBRllB7jaOKIr5UvbdzblOxBtvbFzcztld6gyouVhF1J5s7peFJjctE10MGvkSO1Wrpg6/piHZINTfVo1Ksq9dq5c/1oDLdPxBFWzpNnQSaj4MpV8tt9ADngVM6agF3buwM9QyPqtOuk7VBemrG5BV7+gXj5BwKgUio5+tM3XNqxidz0VDqM+Rgd3fJ/Q6Ai0LGwwPHTmcRPmEjGH38S2HUgYZeTCT4UTbP+mukIX8WiCuu7rmfu+bmsCl7FzdSbLGy2EHP98jfrvDzQ2sipR3uaf+QFGoE94Ro6wEXAURCEZ3YJetQILIKSZLsY6CwIQvIzjh8NjAZwd3dvEB0d/TIhil5CcUQk4T26caq6QP1VP9PYufFTj1UpVaybewl9Qx0GzAwUk+ZKIDMpn61LrmJhb0yfyf7oPmoMpsjMJLJPXyRSKVW2bUXH0vK517qVeouh+4cysvZIxvmP00i8OUVyGi86Rseajnw5sN7TD0y4AWtbQeOx0HGhRmKpEHIS4KvaEDgSOi8t82lKlUD3NWfJLpRzbFJLsWO2SGticmI4HXf6seZccpUcAD2pHlUtq+Jr5Vu699jX2hcLA/VVQTMS87lzOp7Qi0nIChVYO5tQq4ULvg0d0TdSTy2kME/GjaOx3DoRh0KmxCfAgYAunlg7lZ/kOf/yZWLeGkH40K/JLDLirYXlp2dETloKP308Ev/O3Wn11ihth6NWgiBwcdtGzm9Zh0ed+nSfMAMD4xdbHSF6MkEQiPvgQ/IvXcJrz27OHM0h7FoKwxc0xsTCQKPPu/7+er648gVOpk6sbLXyjR1L9axGYBW6Bi8IghLYArhKJJKnrI18TB2gBrDpWQnzo2uvFQQhQBCEADs7sbHU6yIIAgnzP6dIV+DOgPrP3WMReimZnNRCgrpVERPmSsLK0YR279YkNSaXk+tD+fvGnq6VFa6rvkKekkL8tGkIque3SKhjV4duXt34I+QP4nLjnnv8yzA31KN/gBt7biWQklv09AOd64H/cLj0PaSFaSSWCuHyWhBU0PD9Fzpty9VY7ibmML2zn5gwi147uVLOwaiDjDw0kq47urL0ylJOx53GwsCCIX5DWNRsEdt6bOPS0Ets6b6FBc0WMLzGcIKcgtSSMCsVKsKuJrNjRTAb5l0i5Ew8HrVs6D3Zn0Gzg6jdylVtCTOAkak+jXtV5a2FjfHv4EHkrTQ2fH6Jwz+HkJmUr7bneRX5584j6OiQkqWHs4+ltsN5TPD+XQD4d+mp5UjUTyKR0LjfYDq+P46YOzfZNG86eRnp2g6rUpBIJDh+NgeJRELSZ3Np0MUTlVIg+JBmC3cSiYSh1YfyS6dfKFYUM2z/MPY83KPR56yIKnTS/H/KUjI/CEwFFkskEs2UnUSvJPfwEYouXGRjcwnvNp/wzERYqVRxdX8kdu5meNYR9zJXJlXq2BLYrQqhF5O4fTK+9HGjOnVwnDmD/FOnSf/hhzJda5z/OHSkOnx57UtNhcuIJp4oVALrLsY8+8A2s0HPGA7N1Fgs5VpxHlz9Bfy6gXWVMp+WWyTni8OhBHhY0a1OWe6PikTqEZsTy8prK2m3tR1TTk0hJjeGj+p9xKG+hzg54CQ/dviRyYGT6V61O9WsqqEnVe9S1Zz0Qi7ufMjvM89z+KcQ8jKLaNy7Km8vbkqH92ri7G2p0RvGRqb6NO79ePK8fl75SJ7zz59HVb8FRfmKcjWfuSg/j1vHDuPXpAXmtpV3/GWt1u3pPe0zshITWD97MulxsdoOqVLQc3LCbsIE8s+dQ3LxKL6NHAk5XTIuTtPq29dnU/dN1LarzcyzM1lwcQEypUzjz1tRVOikWSKR6AIDgRhBEJLKco4gCMuBycBXEolkgibjE70YVUEBSYsXEeegS3aXxgQ4PnF1RKkHl5LISSsiUKwyV0qBXTzxrGPLuS1hJIT9M4bdctAgzHt0J3X1GvLOnXvudRxNHHmn1jsciT7ClaQrGom1iq0JbXztWXcpmmKF8ukHmtpDy6kQdhgeHNZILOXajfVQlA1NPn6h07458ZC0PBlzutcQv9dFGidXyTkcdZhRh0fRZUcXfg/5nbp2dfm27bcc6HOAMXXH4GzqrLGvRZVKIOp2Gvu+uclfsy4QfCgaB09zun1Ul2GfN8a/owdGZupvDPQspcnzgsb4d3AvqTzPu8SRX7STPCuzsii6c4e8ak0BylWl+eaRA8iLCgno/mKTASqiKvUaMHDuEpRyORvnTCHufoi2Q6oUrIYMxrBuHZIXL6F+UysElearzX+zNbJlbfu1vFPzHTaFbuLtg2+TlF+mFKvSe+1Js0Qi6SeRSPoBDR491PnRYy3/7ziFRCL5+V9/HyyRSDZKJJK3JBJJa4lEMgg4AfgD014kBkEQvgTGAyskEsmkV/l8ROqT9sNalEnJ/NBeYGzAs99Ul1SZo0qqzLVtXlOEotdJIpXQ7p0amNsZcXDtHfIyS5Y+SyQSnObOxcDbm4RJk5EnJDz3Wm/XfBtHE0eWXVmGUvWMpPYVvNO0Cml5MvbcTHz2gUFjwLoqHJoBijfoDq5KCRe/AddAcCv7uJLo9Hx+ORtJX39X6rhaai4+0RsvNje2pHHglvZMOjWJqJwoPqz3IYf6HmJ1m9U0d22OjgZHxhXkyLh2MIq/Zl9g3ze3SI7Oxb+TB8MXNqHrh3XwqGWj9ZGKRmb6NO7tzVsLGlOvvTsRN1K1kjznX7wIgkCWsQdGZnpY2Bu9tud+FoVczvUDu3GvXQ97Ty9th/NaOHh5M2TBFxhZWLJ1wSweXHr+zWzRs0l0dHD6fD7K3FyK1q7Er7EjIWfjyc14xhYwNdKV6jIxYCIrW60kIjuCAXsGcCHhwmt57vJMG5XmLY9+/b2h7dtHf5/3f8fpPPr1t0jAHlgOHAa+p6ShVydBEDa+aBCCIKwCPgaWSySSqS96vki9ZFFRpP/yCxfq6GPfqAV17eo+8/jQiyVVZnEvc+VmYKRL5/dro5CpOPDDHRTykoRXamyMy+pVCHI5CdNnPHd/s5GuERMbTOR+xn12PdylkVibettQzcGUX89F8swGi7r60GkxpIeX7O99U4Tuh8woaPzRC522eP99dHUkTO30ZjYlEWmWXCXnaPRRxhwZQ5ftXfjlzi/Utq3NN22/4WCfg3xQ9wMcTBw09vyCIJAQnsXhn0P4feY5Lu6MwNzGkA4jazJiURMa9axaOkWgPDEy06dJH2/eWtjk8eT51xCykgs0/vz5584jNTUlJUOi8SXqL+L+2ZPkZ2US+AZUmf/Nwt6RwZ8vw6GKN3tWLind0y16eYa+1bAZ+R7Zu3ZT3S4dBAg++HqbErfzaMfGrhuxMbLh/aPv8+OtH1EJz+8nU1lprXt2RRIQECBcvXpV22FUWoIgEDtmDNlXLvHBSCU/DNpETZunjxRSKlWsm3MRI1M9+k0PKDcvliLNibieyoEfblO9iROth/uV/p9nbd1K4qzZOMyahfWwoc+8hiAIvHXgLWJyY9jXex+m+qZqj3PD5RhmbL/NptGNaOj1jBUQggDr+kHsZRi6Fdwbqj2WcufnjpCbCJ9chzJW6y48TGfwjxeZ3KEaH7XRzMgN0ZspPi+ebQ+2sSN8B2mFaTgYO9DXpy+9fXrjaOKo8eeXFSoIvZTEndPxZCTko2+ki18jR2q2cClXHarLqiBHxo0jMdw+FYdSrqJakCMBXTyxdFB/V2VBEHjYth3K6v4cVXam2QAf6rZ55gCV10JQqfh9ykdIdXQYvnT1G/neRC4rZv/qLwi/coEGXXvRcti7SKQVeieoVqmKi4ns2QtBoSB2+EruX05l0OwgrBxf78+IAnkBcy/M5UDkAVq5tmJh88o7lqrSds8WVQ55x4+Tf/oMW5rr0KB622cmzAChF5LITRf3Mr9JvOrbEdDFk3vnEwk5889ybIu+fTFp0ZyUFSuQPWcsnEQiYVrQNDKKMlh7WzMV3l71XLA01uPXc1HPPlAigc7LSpqC/dIBNg6F1AcaialciLsKsReh0QdlTpiVKoHP997FxdKIkc3fjGWOIs1SqBQciznG+0ffp/O2zvx0+ydq2NRgTZs1HOx7kA/qfaDxhDktLpeT6+7z6/RznN74AB1dKa2H+/H2kqY0H1itQibMAMbm+jTp683wBU2o186dh9dTWD/3Ikd/vav2yrM8Ohp5QgL5PiUjpspLE7DIG9dIj4shoHufN/a9iZ6+Ad0nTqdex25c27eTfauXo5DLtR1WhSU1MMDx83nI4+LwjD+Kjq6UjQsuc2bzAwpyXt/2LmM9Y5Y2X8qMoBmcjT/LoL2DCM0IfW3PX16obz6BSPQSFOnpJC9aTJ6rFXvq5bKp/thnHq9UlOxltvc0x6OWuJf5TRLYrQqpMbmc2fQAG2cTnB4tyXOaP5+Ibt1JmPkpHn/8jkTn6UlZLdta9Kjag7/u/kV/n/64mau3OmGkr8PgIHd+OPWQ2IwC3KyfUWWxqQqfBMOFb+HcKghtCPWHQ6sZYF7JOkRf+BoMLKD+sDKfsvlqLPcSc/h6SH1xxJTolSTkJbA9bDs7wnaQUpiCvZE9Y+qOoY93H5xMNf+9ppAreXgthTun40mKyEFHT4pPoAO1Wrjg4Fm5qjV/J8/12rtz/UgMd07G8eByEtUaOhLQWT2V57zz5wHINHJD3zAfG1f1rxp6GVf2bMPUxhbfxs21HYpWSaU6tHlnDOa2dpxe9yv52Zn0nDQLQ9Py8f9U0ZgEBWHZvx9Zf/1I7182cDtMj9sn47l7NoE6bdyo394dQxP1du1/EolEwpDqQ6hhU4NJJycxdP9Q5jSeQ4+qPTT+3OWFuDy7DMTl2eonKBRkrt9A6po1qAoLWTRUH8cmbVjecvkzzws5E8/JdaF0+6iumDS/gYoL5GxZfBV5sZIBMwMxsTQAIGvnThKnz8B++jRs3n77mddIKUih245uNHFuwletv1J7jInZhTRbeoJ3m3ryadcaZTspPw1OL4crP4NUFxp/CE3HgeGrz3fVusxoWF2vZC9zh/llOiWnSE7r5SfxsjNh85jGb2zVRvTyFCoFZ+LOsOXBFs7GnwWgqUtT+lfrTwvXFuhKNV8zyEopIORMAvfPJ1KUL8fSwZhaLVzwbeT4Wt7kPokglyOPj0eZn1+ybFYqBYnkv3/W0Sn5vnvaMTo6IJU+dsx/jpdIKMiRcf1wNHdOxaNUqNSSPMeO/Yji+/e53HwBZjZGdP/42T1QXoek8Aes+3QiLYe9+0Z0zS6re2dPcvDbr7BycqbPjHmY29ppO6QKSZmdzcOu3dC1t6PK5s1kp8u4vDeSsCvJ6BvpUr+9G3XauKFv+HpqoWmFaUw9PZUrSVcYUG0A04Kmoa/zejv6a8qzlmeLSXMZiEmzeuVfukzyggUUh4Vh0rQp+3s68V3Wbnb03IGXxdOXYSoVKv6acwETCwP6Tm0gvpF+Q6XH57F12TVsnE3oPdEfHT0pgiAQ9+FY8s+fp8qOHRh4PXsG8Npba1lzfQ0/d/iZIKeyd3Iuq4/WB3PqQSoXZ7TFxOAFXsQyIuHEQri9BYysoMUUCBwJugZqj/G1OTijpOHZuFtg4VKmUxbvv8faMxHsHtuM2q6V4MaB6LVJyk9ie9h2toVtI6UgBTsjO3r79KaPTx9cTMv29fcqVEoVUbfTuXM6nti7GUikErzq2VKrhQsuvlav5XVLkMmQxccji45GHhODLDoGWXQ0spgY5PHxoNTMBIH/+FcyXWxgToxLG+LsmyBIdXDMuIFX8kmMFVlPT751pEgkj5JwqaT0z7KICAx7DmBfWhMa9fKiQSfP1/P5PMOer5YSdeMao7/9DQNj9e/jrshi7txi1xcL0Dc0pM+Medh5PPv1WfRkOQcPEj9+AqZt2+I0by66trakxeVxaXcEUbfSMDLTw7+jB7VauqD7GlZnKVQK1lxfU9o8cUXLFa9l5Y6miUnzKxKTZvWQJyWRsmwZOfsPoOfsjM30qZyrKmPehc9p79GeRc0XPfP8O6fjObU+lG4f18WjplhlfpM9DE7h4No71GjuTOuhfgAoUlOJ6NYdfU9PPNave+Yy7SJFET139sRU35TN3TarfYzMtehM+n53nvk9azK8seeLXyDhBhydCxEnwMId2syC2v1L3jxWJEXZ8GUN8O0CfX8s0ylRafm0X3mKXvVcWN5fcxWkrB07UWZmYj1sKBL9ynGH/E2lVCk5G3+WLQ+2cCb+DIIg0MS5SUlV2a0FelLNV3Xzs4oJOZvA3bMJ5GcVY2JpQM3mztRo6ly6IkadBJkMWVzcvxLj6NLkWJ6QAP+aKCA1NUXfwwN9D3f03N3R9/BEx8IcVKqSyQMqAYT/+7NSVXKN/3/8qccI/zleUClLjv3XMUUyKaHZjkTk2aMSpLgZpeBnHI2ptABBUP3neJTKxx4XBBUSiYS8ju9ybG8mfSb746TlPc1ZyUn8Mm40Ad1702LoO1qNpbxKjYli++LPkBUW0mPSTDxq19N2SBWOIAhk/PIrqV99hdTEBIdZszDv2gWJREJSZDaXdkUQdz8TE0sDArp4Ur2pEzo6mn/PcCzmGLPOzkJXqsvSFktp4txE48+pSWLS/IrEpPnVqGQyMn77nbTvvgOVCqO3h3CwmREbI7eTVpiGl4UX37X7DmdT56deQ6lQ8dfsC5hYilVmUYkLOx8SfDCa1sP9qNG05Gsne+8+EiZPxn7yJGxGjnzm+YeiDjH51GTmNJ5D/2r91RqbIAj0+vY8uYVyjk5sifRlZ6s+PA5HPoOkW+BQG9rPhaptSxqJVQTnVsOR2TD6FDjXK9Mpo/+4ytnwNE5OboW9uWZG7chiYnjYtRvI5eh7V8Xp8/kY+9fXyHOJNCcpP4kdYTvYFraN5IJkbAxt6OPThz4+fXA1c9X48wuCQFxoJiGn4om4mYagEnCrYU2tFi541rZB+opvWFUyGfLY2H9ViqOR/50YJyY+nhibmZUkxu7u6Ht6PEqOPdD38EDH6vVUuF9EfnYx1w/HcOd0PCqlgG9DBwK6eGJhV7Yq7dktYdw5Fc+olS3Q0dPuzcRjv3zPraMHGfX1z5haizf0nyYnLZXtiz8jMzGBTh+Mo3rz1toOqUIqDg8nYeanFN26hWm7tjh99hm6diXL3uNCM7m06yFJETmY2xoS1N0Ln0CHl38PUkZR2VFMODmBh1kP+aj+R4ysPRKppILd5H9ETJpfkZg0v7y806dJXrgIWXQ0Qosgdna2YmveaeQqOc1cmjGs+jAaOzd+7jfX31Xm7p/Uxb2G+KIkApVKYM/qGyRFZDNgZiBWjiYIgkD8J+PIO3mSKju2Y+Dt/dTzBUHg7YNvE5UTxd7eezHTN1NrfLtuxDNu4w1+fSeQ1r72L38hlQpCtsOxzyErGqq0gHbzwMVffcFqglIOq+qCtRe8vbdMp5wPT2PIT5eY0tGXsa2f/n/3quLGjSfvzBkcZ88mdc1qFAmJWA4aiP3EieiYV67GTJWNUqXkXMI5tjzYwum406gEFY2dGtPftz+t3FppvKosK1SQk15E3P0MQs4kkJVcgKGJHn5NnKjZ3BlL+xdbmqsqLn6UGD+qFMdElyTF0TElifG/3qNJzc1LE+G/k2N9d3f0PDzQsSw/s4pfxH+S50aOBHT2eG7yvGXxFXT1deg9Sbs/Bwtzc1g79h18GzWn04fjtRpLRVCUn8fuLxYSe/c2zQaPIKhnvwr5dattgkJBxu+/k7pqNVIjo5Kqc7euSCQSBEEg+k46l3ZHkBabh5WTCQ17VMGrnp1G/60L5AXMuzCP/ZH7aeXaigXNFmBhUPG2V4lJ8ysSk+YXJ4uNJXnxEvKOH0fuYsfWrpbssInEWNeYXt69GOw3GE8LzzJdSykv2ctsamVAnylilVn0j/ysYjbOv4yptQH9pgagoydFkZ5ORLfu6Lm44LlxAxLdp+8pvpt+l0F7B/FWjbeYHDhZrbHJFCqaLT2Or6MZf76nhjnMimK4+iucXgYF6VCzT8mybZuqr35tTbi9Fba9B4M3gW+n5x6uVAl0XX2G3CIFxya11FjH7ILgYKKHDMX244+wGzsWVX4+qavXkPHnn+ja2OAwaxZmHdqLP2fKmZSCFLaHbWd72HYS8xOxNrSmt3dv+lbri5uZ+rrgFxfIyUkvIvdfv3LSC8nNKPlzcYGi9FhHL3NqtXChagP7Z+4hVBUVlewn/r/9xbKYaBSJSY8lxjoWFuh5eqDv7lG6pFr/UdVYx9JSbZ9neZOfXcz1QzHcOfP85FlWpOCnCadp0NmThj20O47uwrYNnN+8jhFffIOtm4dWY6koFHI5B79dSej509Tt0JU274xGquYtUm+K4ocPSZg5k6KbtzBt2xbHz+agZ19yk15QCTy8nsrlPRFkJhVg525Gw55euNew1tjrmyAIbAzdyLIry3A0dmRl65X4Wftp5Lk0RUyaX5GYNJedqrCQ9B9/JO2nn1FKBPa0NGRTvQKcLd0Z4jeEnt49X7iid+dUHKc2PKDHJ/Vwq2GtochFFVXkrTT2f3uLuu3caNbPB/inYYbd+HHYvv/+M8+fc24OeyL2sLPnTjzM1fum5+vjYXxx+AFHJ7bA215NleyiHDi/pmSMk1IGDd6BltPAtBx1JRUEWNsKZPkw9nKZ9mKvvxTDzB23+WaIP13raKaZiCAIRA0ahCIxiaoHDyD9V8OewjshJM6ZTfHde5i2bo3jnNnoOVX8piYVmVKl5ELiBbaEbuFU3CmUgpKGTg3pX60/bdzaoKfzYlVlQRAoLlA8ngynF5UkyY+SYlmh4rFzdA10MLcxxMzaEDObkl/mNkZYO5s8NlNZVViILCb20RLqv6vGJQmyIinpsWvqWFk9qhA/WkLt7lFSNXZzq9SJcVn8f/Ls18iRBp09sbAzKj0m5m46e1bf1Pp7AoVMxtqx7+Do5U2fGfO0FkdFJKhUnF7/G1f3bMc7sBFdPpmCnn4FbnipRYJSScZvv5O6ahUSIyMcP52JeffupYmxSqki9FIyV/ZFkptehJO3BY16VsXZx1JjMd1IucGkU5PILs5mdqPZ9PTuqbHnUjcxaX5FYtL8fIIgkHv4CPGLFkByKudq6vBHa/Cr1oSh1YfS3LX5S+1v+KfKbEifKf5i9UfN0uNi0dHVxdKxYicHpzeEcvtUPN0/rov7oyZx8RMnknPkKFW2bsHQ1/ep56YVptFtRzcCHQNZ02aNWuNKzyum8ZLj9G/gysLetdV6bXKT4NRSuPY76BlBk49LxjoZlINZmFHn4Lcu0G0lBLz73MP/HjFV1c6UTWMaaez7PHvfPhImTcZp0SIs+/T+z8cFhYKMP/4kdc0aJBIJduPHYzV0yDObyolejCAI5J89S9bWbQhy+aNRRhJAUjqqqFglIy4vnpi8WAqVhejpGuBq7oanhScm+maPOilLQFJy/N9/F5AiQ58ClQEFCkMKlAbkKw0pUOhToDAgX6GPQvX4/6WuVImJnhwTAwXG+nJM9JWYGCgwNVRgYqBEXw8k0kcx/us5VQUFyGNjkEWVVI0VycmPXVfH2rq0Qqzn4f5P5djdDR2Lirdk8XXLzy4m+FA0IacTUKlKkueALp6Y2xpxcddDgg/FMPLL5q9txM6T3Dp6kCM/fk3/2Ytwr1VHa3FUZMEH9nDi97U4+fjSa8psjM3F742XVRwRQeLMTym8cQPTNm1wnPtZadUZSnoD3T2bwNUDURRky3CvYU3Dnl7Ye2hmS1J6YTrTTk/jUtIl+lfrz/Sg6RViLJWYNL8iMWl+toKwB4TOmYrh9VCi7GF9JyOqte7NkOpDqGr5aktHb5+M4/TGB/QYVw+36mKVWV2yU5I5t/kv7p09ibG5BW9/+R1Gpurd0/s6KWRKtiy5SmGenEGzgjA210eRmUlEt+7o2ttTZfMmJHpPr0r9fPtnvgr+irXt19LYubFaY5u29Ra7bsZzcUZbLI018IKRFg7H5sG93WBiV1J1bvA2vGAVTq02DIaYizDxbklC/xyL9t/jxzMR7PmoGbVcNPOmSVVcTETnLkgtLKiybWvJzNmnkMXFkTTvc/LPnMGwdm2c5n+OoV/FWmJWHhUEXyf1yy8puHoVHTtbdG1sH3VKFhAEgUJZPjmyHAplBSAIGOkYYqprgpGOARIBVIKAXGpEoY45hXoWFOpZUqRn8ejPVhTpW6LUebxapaMswqgoA8PidAyLMkp+FaZjVJSGYWE6uooCXvYWjY6NzT/7ix9VjfXcS5ZU65hV3J+n5Ul+1qPk+UwCgkrAt7EjqTG5SKUS+s8I1FpcgkrFrxM/QN/IiKGLVoo39F/Bg0vn2L/mC8xt7ekzYx6WDo7aDqnCEpTKkhu/X32FxMCgpOrco8djX59ymZI7J+MJPhRNUb4cr3p2BPWogo2z+m+4K1QKvr7+NT/f+ZlaNrX4stWX5X4slZg0vyIxaX6yzPQEgpdMx2HfFQr14WA7K9yGj6S3X1+1bP5XyJX8Nfsi5raG9J4kVpnVoSAnm0vbN3HzyH4kEik1W7Xl9vHD+DVtSeexE7Ud3itJj89jy+KruPha0e2jOkgkEnKPHSNu7EfYjh2L3ccfPfXcYmUxPXf2xEjXiC3dt6ArVV/14n5SDp2+OsP0zn6831KD+49jr8DRzyD6XEnzrbZzoEav199pOy0cvg4omTHd5tPnHv73iKne9V1Y1k9zI6bSf/qJlC9W4P7brxg3bMjCSwsJywyjvn19Gjg0oJ59vce2jgiCQM6+/SQvXowyKwubd97GduxYpEbPvwkgelxRaCipK78i7+RJdGxtsf3gfaz690eir09aYRo7w3ey9cFW4nPjcZS60tm2B41Mm2NYaPbP8ulH+4oVMtVj1zYw1i1ZNm39z9Lpv5dRm1kbYmCs+8zXDkEQShN3VCoEePzvAiD8++8CCAISfQN0TE2eel2Rev07eVYqVI9tx9GGsCsX2P3FQrqOm4pfkxZai6OyiL9/l53LPkeqq0vvaZ/hWFV7/7eVQXFkZEnV+fp1TFu1wnHePPQcHm9IKitUcPN4LNePxCAvVlIt0IHAblVeuJlhWfx7LNXa9mupblNd7c+hLmLS/IrEpPlxYRlhnP11EX4bLmGeJ3C7sT0OEybQolZ3tc67vXUijjObHtBjfD3c/MQq86uQFxVxbd9OruzZhryomFqt29G43xDMbGw5t+lPLm7fRO9pn+Hlr7079+rw98qEZv19qNu2pDlQ/NSp5Ow/gOemjRjVrPnUc49GH2XCyQnMajiLgX4D1RrX4LUXiU7P5/TU1uhqcm6iIEDY4ZIZzyl3wdkf2s8r6bj9uuydCNf/hAkhYPr8ruGj/rjK+fA0Tkxphb2ZZkZMKTIyeNihI8YNGuD2w/dsDt3MwvOLcLdwJy4vFoWgQCqRUs2qGv72/vg7+NPAoQG2RrYos7JI/uILsrduQ8/VFce5czFt1lQjcVY2spgYUlevIWffPqRmZti89x7Ww4dRpCPhxOmrXAu7RUpyJiZFVtgrnTEqMkdQPJ7gGpjoYmb9eDJs/lhSrMUVFaLXLi+zmNBLiVQLcsTMWjM/L8piw+wp5GVm8N6qtUjF7RtqkR4fy/bFn1GYk0P3CdOpUv+JeYuojASlkow//yR1ZUnV2WHGDCx69fzPTcSiPDnBh6O5fSIOpVKgelMnArt4Ymql3u+v6Jxovrn+DfOazsNIt/zefBaT5lckJs0lDVnOxJ/h0JHvCVp/E784SK9ije2nM/Br1k3tz6eQK/lr1gXM7YzEKvMrUCoU3DlxmAtbN5CflYl3YCOaDRqBjes/3WYVcjl/TR9HcUE+b6/4FgPjils9EQSB/d/dJuZuOv2nB2DraoYyO5uIbt3RsbLCc+sWpPpPXiItCALvHX6PsMww9vbeq9ZRCUfuJjPqj6sabXL1GJUSbm2C4wshJw6820O7ueBYS7PPW5ABX9aA2n2h5zfPPfxceBpDf7rE1E6+fNhKcyOmkj6fT+amTXjt3kW0tZKhe4cx4N4UHHCmyRAv0m1iCE4O5lryNW6l3aJQUQiAh7lHaRJdL04P5ZKvkUVFYd69Ow7Tp6FrI46/exJ5cgpp331L1tZtSHR1UfXrzL0uftwuiiAqMhGva82wKXABQDBQYGFrjJ29xaOk2OifxNjaEH0j7e1ZFYmeJD70HhvnTKH126Px79xD2+FUKnmZGexYMo/UmEjaj/qI2m06aDukCk8WFUXCzE8pDA7GpGULnD7/HD0Hh/8cl59dzLUD0YSciUcikVCrhQv+nTwwNi//+5DVSUyaX9GbnDTnynLZEbaDXcF/0Xx/HO1vCCjMjLCdOAHnAUOfuS/wVdw6EcuZTWH0nFAfV18rjTxHZSYIAg8unuPcpj/ITEzAxa8GzYe8g4vvk5fEJIU/YP2sydRq3Y4OYz55zdGqV2GejI3zL2NgpEv/mYHo6euQe/Ikce9/gM2YMdhPGP/Uc0MzQum/pz9Dqw9lWtA0tcWkVAm0/uIk9mYGbP2gidqu+1zyIri8Fs6sgKJsqDOwZMm0pbtmnu/UcjixAD68CPbPXn6lUKrotuYsecUKjk7U3Iip4ogIIrr3wHJAfyxmTmHQvkE4PPSjXlgnjMz1KcyRUbulC437eKNnoINcJede+r3SJDo4JZgcWQ4Azrp2jAg2pe6hh0iNTXCcPg3L3n3Em3qPFGekE/ntlyg37wGlgmsNbfgtII9UEwUSQUrD5C7UiWqDxFDAtbMu7Zo2wtRE/UsBRSJN2vXFQuLu3mbUt7+ib1h+K2YVlaywgD0rlxB1M5jG/QbTuN8Q8WfsKxKUSjLXrSPly5VI9PRKqs69ez3x3zUnrZAr+6MIvZCIjr4OdVu7Uq+9O4Ymb8aqHjFpfkVvYtIcmR3J+nvr2R22kybXChh2RopRoRLLIYNx+GQcOuaa6bYHJU2d/px9AUt7Y3pNrC/+sHxBMXducWb9ryQ9DMPG1Z3mQ0bg5R/03H/H0+t+5crubfT9dD6edeq/pmg1I/ZeBrtX36BmM2daDS1p4JQw81Oyd+4sWaZd++mdrOeen8uu8F1s67kNLwv1zQD9+Wwk8/feZfdHTanjaqm265ZJYSacXQkXvwcECBoNzSeBsRq3PSiKYWUtcKoDw7Y99/B1l6L5dMcdvh3qT5famqu+x344loJLl6h6+BCf31/F4bvHGXH7c1y8ren8fm0u7njIrRNxmNsZ0XZEdZy9LR87XyWoeJj1sDSJvpZyDb2YZMYcUOIXB3HVrEj9qA8167enhnWNFx6DVFGpBBXROdHcSbtDaPxNTHeeJOBYPEbFcLamhL1tTLHzrkVNm5r4SGqSd8iczJgiqvrb03JINYxM36zqhahyyEiI59eJ79Ow1wCaDRqu7XAqLaVCwZG1XxNy6ii1Wneg3cgP0dEVV528Kll0NAmffkrh1WuYtGheUnV2fHLjtcykfC7vjST8agoGxrrUa+9OndauWu1Y/zqISfMrelOSZpWg4lz8OdbdX8e5+HNUT5DyyQljbGKyMA4IwGH2rGeO7lGXm8djObs5jF4T6uMiVpnLLCUqgjMbfifqxjVMbWxpOmAYNVq0RlrGfeYKmYw/pn2CQlbM2198g75Rxa4And8ezvXDMXQeUxuv+nYoc3OJ6N4DqYkJVbZvQ2rw5JmQ6YXpdNvRDX8Hf75p+/wlxmWVWySn8eLjtK/hwMqB9dR23ReSHQcnF8ON9aBvBs3GQ8P3QV8N/9fX/4JdY2H4Dqja5tlhFMpp/cVJvO1N2TRacyOm8i9dJmbECOwmTuRSO2emn5nO6JR56EVbM2hOUGnDk/gHmRz/4x456UXUbetGox5e6Oo/+ftGEATi8+IJTrpK1pat1Np8HR25im1NpRxuakRNx7qle6Lr2NbBWK9ifx9ByecclxdHSHoIIWkhhKSHcDf9LsWFebS7IdD3vIBFvkBifTfkI/tRLaA9HuYeSAQJt07EcWHnQ3T1pbQc7ItPwH+XBYpEFcWRH78m5NQxRn39CyaW4vsTTRIEgfNb1nFx20aq1GtAtwnTxcq+GggqFZnr1pPy5ZdIdHRwmDEdiz5PXzGVFpfLpd2RRN1Kw8hMjwadPKnZwhldDa0O0zYxaX5FlT1pzpfnsyt8FxvubyAqJwovpTXjL9ngeOoeuvb22E+binmXLq+l4quQKflz1gWsHI3pNdFf489XGfx7fJShsQlBvQdQr2NX9PSfnBQ+S3zoPTZ+NpW67bvQ7r0PNBDt66NUqNi+/BrZaYUMmhWEqZUheWfPETtyJDYj38N+8uSnnvvbnd9YcW0F37f7nqYu6mv6NHd3COsuRXNuWhvszbXXxIbku3Dsc3hwAMycofUMqDsEdF7yDrIgwHdNSmbYvn/2uR27F+67y09nIzU6YkpQqYjq1x9FViZ6m35g4OFhBCla43ehA4FdPQnq/vgqAlmRgvPbHxJyOh4rR2PajKiOY5XnxyZPSSF2/lyKj5wgx8WSzb2sOWoRh0pQoSvRpbpNdfztS5Jofwd/te6V1wRBEEguSC5Njv/+lV2cDYCeVA8/i2p0emBMvd330EvJwigoEPsJEzCu/88KlZy0Qo7/cY/4B1l41Lah9TA/TCxe/GeSSFReFGRnsXbsO9Ro0YYOoz/WdjhvjFtHD3L0p2+xr+JF72mfiTcr1EQWE0PizE8puHoVk+bNcfp8HnpOT1/1lRSRzcVdEcSHZmJqZUBAF0/8mjiho8nmplogJs2vqLImzTE5MWy4v4Ed4TvIl+dTz6o2Y8LdsVt/DFVxMTZvv43t+2OQmry+xlA3j8VydksYvSbWx6Wa+IPxWQpysrm0YzM3D+9DIpHi36UHgT37YWjyarP2Tv7xI9f27WLAnEW41ayjpmi1Iyu5gE2LruDgYUaP8fWRSiUkzvmMrK1b8Vj312Nv8v9NppTRa1cv9KR6bO2xFT2pepbcRqXl03rFST5u48PE9tXUcs1XEn0ejsyBuCtg6wvtPgPfLi8+pir8GPzVB3p9B/WGPPPQyLR8Oqw8RZ/6riztp7mvr6ydO0mcPgP7pYv5QLqexJwkRt5fhBQdBs8Jeupd8ti7GRz/8x75WcXU7+hBUNcq6Og9/01B7okTJH0+H0VSEib9+xAzpDnXCu4TnBzM7bTbyFVyALwtvR9Loh1NtDuTNK0wjbvpd7mTdqe0kpxelA6AjkQHHysfatrUpIZNDWrZ1MTpWiwZa75GFv4Qw5o1sZswAZOmTUpvqgqCwN2zCZzbGg4SaNbfh+pNnMRtNqIK79zmv7i4bSNvf/kdNi5uzz9BpDYPr11m76qlmFhY0mfGPKydXbUdUqUgqFRkrt9AyooVJVXn6dOw6Nv3mT+v4+5ncHFXBMmROZjbGRHUrQo+gQ5IpZXjZ7yYNL+iypQ0C4LAhcQLrL+3ntNxp9GR6NDBswPDCupi8s0GisPCMWneHIeZMzCoUuW1xlZaZXYyptcEscr8NM8aH6WW6xcX8ceUjxEQGLHsa/QMtVgRVYN75xM5/sc9Gvb0IqCzJ8q8fCJ79ECip0eVnTueOnf3eMxxxp0Yx/Sg6QytPlRt8Yz8/QrXY7I4N72NxppfvRBBgPt74eg8SA8Dt0YlY6rcG5X9Gn/2huQQGH8bdJ9dTRz5+1UuRqRzfHJLjY2YUhUW8rBTZ3Tt7dk8yZ+/QtcxW28Vqaeh+8d1ca/57K7XxYUKzm0J4975RKydTWj3dg3s3M2eeQ6AKj+f1NWryfjzL3RtbHCYNQuzDu2RqWTcTr1NcEowwcnB3Ei9Qb48HwAXU5fHkmhPc0+NJZhZRVncTb9LSHpIaZKcXJAMgAQJXhZe1LStSU2bmtS0rYmvlS+GuiX/R/kXLpCy8iuKbt1Cv0oV7MaNw6xjh8dizcss5sRf94kJScfF14o2b/lhbiMupxRVfPLiItZ++A4ufjXoNWW2tsN5IyWGh7Jj6ecIgkDvqbNxrlZ+Z/1WNLLYWBI/nUXB5cuYNG2K0/zP0XN2furxgiAQfTudi7sjSI/Lw9rZhIbdvahSz7bC3yAVk+ZXVBmS5gJ5AXsj9rLu3joisiOwNrRmgO8A+pi3RLn6Z3IPHkTP1RWHmTMwbd1aK1/0N47GcG5rOL0n1cfZR6wy/7+yjI9Sl9i7t9k8bwb+XXrSesQotV//dRIEgSM/hxAenEqfKf44VrEg/+JFYt5+B+sRI3CYMf2p5406Mop76ffY32e/2pbV/j1maXm/OvQPKEfVCqWiZL7yySWQlwS+XUsqz3bP6WOQfBe+awxtZkOLpy95Bzgblsawny8xrZMfH7SqqsbgH5f23XekrlpN+pcT+SB1NcNc3sViV308a9vSaXTZx25F3U7jxF/3KcqV06CzBw26eJZpKVrh7TskzplD8b17mLZpg+PsWY8te1OoFIRmhhKcXJJEB6cEk1GUAYC1ofVjs6J9rXzRKWNfgn/Lk+WVJsh/J8nxefGlH/cw93hUPa5FTduaVLeu/sT914W3b5Py5ZcUXLiIrpMTdh+NxaJnTyT/asojCAIPLidzZtMDlHIVjft4U7ulC5JKUnkQia4f2svxX75n4LyluPrV1HY4b6yspES2LZ5DXno6XcZNwSewsbZDqjQElYrMjRtJ+WIFEokE+2lTsezf/5n5gKASCA9O4fKeSLKSC7D3MKNhDy/calhX2ORZTJpfUUVOmuPz4tl4fyPbwraRK8ulunV1htUYRkfnNuT+vo60H34AlQqb0aOwee89pFqqKsofVZmtnUzoNaFid25WN0EQCLt0jrMbyzY+Sl2O/fIdNw7vZ9Dcpbj41dDoc2lacYGcTQuuIJHCwE+D0DfSLZndu2EDHn/+gXHAE38+8iDzAf339GeQ7yBmNJyhllgEQaDTV2fQkUrY90mz8vfCIsuHi9/BuVUgy4P6w6DVDDB/yl3nnWPhzjaYePeZ3bgVShVdV5+lQK7gyATNjZhSpKYS3rETuo0a8HaLuzgbOzMsegZJ4TkMmdsIU6sX21dblC/nzKYHPLicjK2bKe3eroGNy/O3QAgKBRm//0HqmjVIpFLsJkzAashgJDr//bwFQSAyJ/KxJPrvBNdEz4R6dvVKk+hatrUw0Hn8cyiQFxCaGUpIWgh30u8QkhZCVE5U6cddTF2oYVODmjY1qWVbi+o21THXf/YEhOLwcFJXrSL3yFF0rKywfX8MloMG/aeBXmGujJPrQ4m4noqjlzltR9TA0qHiNz8Tif6mUin5ZfwYjM0tGDz/i/L3M/sNU5CTzc6ln5P0MIw274yhXseu2g6pUpHFxZVUnS9dwqRJk5Kqs4vLM89RKVWEXkriyt4ocjOKcPaxpGFPr/9Mo6gIxKT5FVW0pFkQBK4mX+Wvu39xMu4kEiS082jH0OpDqWdXj7xTp0hevBh5dAxm7dtjP20a+q7P/obQtNIq82T/CvlNpikxd25xZsNvJIU/eKHxUeogKyrk98lj0dHVY/iy1S/VWKw8SQzPYseKYHyCHGj/Tk1U+flE9OoNgNeunUiNn/xGf/6F+WwL28a2Htuoaqme6ujGyzFM336bjaMb0cjr2UuFtSY/Hc58AZd/BKkuNPoAmo4DI8t/jslNhq9qgf9b0HXFMy/318VoZu28w/fD/OlUS3MjphJnzyFrxw6+n1qDizpRrPL8hWt/JtO0nzf12r38fOqI66mcXH+f4gIFQd2rUL+9O9IyVJ1lcXEkzZ1H/tmzGNapg9P8z8s0hSApP6lkTvSjJDo8KxwoacRV27Y2de3rklmUyZ20O0RkR6ASVADYG9k/tsS6pk1NrAzLvnJHFhdP2jffkL1rF1IjI6zffQfrEW+jY/rf3hal/yaFChp296Jee/dKs69NJPpb6IWz7P1qCT0mzsSnYRNthyOiZLn83lXLiLh2mcCe/Wg+6C0k0srVkEqbBJWKrE2bSF5ecpPIfupULAc8u+oMoJSruHsugav7oyjIkeFe05qGPbyw99DcmFp1E5PmV1RRkuYiRRH7I/ez7t46HmQ+wNLAkn7V+jHQdyCOJo7IYmJIXrSYvJMn0ffywuHTmZg2VV9n4JclL1by56zz2LiY0nO8WGWGVx8fpS7Rt26wdeEsAnv0pcXQd17rc2vClX2RXN4TSbt3auDb0JGCK1eIfmsEVkOG4Dh71hPPySjKoNv2btSxr8P37b5XSxxFciWNFx8jqIo1Pwx/cpW73MiMguML4fZmMLKC5pMhaFTJ3uXjC+D0F/DxNbB5+g2Fv0dM+dibslGDI6aKHjwgsldvYjrWYnK9uyxsuJjM360wMNZjwMyAMiW5z1KYK+PUhlAeBqdi72lOu7erY+X4/EaJgiCQs28/yYsWoczOxubdd7D98MOn7qd/kqyirNI90cEpwdxNv4u5vjk1bUuqx38367I3tn+pz02Rlkba9z+QuWkTEokEq6FDsRk9Cl2r/ybcRflyzmx+wINLL1Z9F4kqGkEQWP/pRIry83hn5fev/TVY9HQqpZJjv3zHraMHqd6sFR0/GIeOrnqadopKyOLiSZw1i4KLFzFp0hin+fOfW3WGktWjt0/GEXwomuJ8BV717WjY3Qtr59fXWPhliUnzKyrvSXNSfhIb729ka9hWsouzqWZVjaHVh9KlShcMdQ1RFRSQtnYtGT//gkRPD9uxY7EePgyJvr62Qwfg+uEYzm8Pp89kf5ze8CqzOsdHqcvhtWu4c/wIgxcsx8lb83O6NUmlVLFz5XXS4vIY+GkQFnZGJC9eTMbvf+D+26+YNHpy86s/Qv5g+dXlfNP2G1q4tlBLLMsO3uf7Uw+Z3tmPvv6u2JiW80p+4s2SZmEPj4GFO7ScWtJ5270xDF7/zFMX7L3Lz+c0O2IKIGbkKPJuBPPeSBntaveiU9IIbhyJoc+UBjhVVc/zCoJA+NUUTm0MRSFT0ainF3XauJWpwqrMyiJ5+XKyt21Hz80Nx7mfvfSNS7lSjq5U95VvQChzc0n/5Rcyfv8DobgYyz59sB37IXqOT+7qHROSzvE/71OQIyPgBfZ5i0QVUdzdO2yaN522731IvQ5dtB2O6P8IgsDlnVs4u/EP3GvVocekTzEwLv+JWUUiCAJZmzaTsmwZAPZTp2A5cGCZXnuKCxXcPBrDjWOxyIuV+AY50qiXF6ZW5bfBrJg0v6LynDTnynJpvbk1cpWc1m6tGVp9KAEOAUgkEgRBIPfQIZKXLkORmIh5j+7YT5qMnsPLVSLUrShPTkJ4FifX3cfW1ZQe497cKrOmxkepQ3FBPr9NHouBkTHDlqxCV69i38nNzShi4/zLWDka03uyPxJZMZG9eiPI5VTZvfuJy1DlSjl9dvcBYHvP7WoZQZWeV8wHfwVzOSoDPR0JHWo6MiTIncZeNuV7iWvESTjyGSTeKPn7OwfA4+lLFiNS8+iw8jT9GriypK/mRkzlnTlL7KhRbO1oxpXWjnxX/xd2Lb2NX2NH2gxX//7//OxiTq4LJepWGk7eFrR5qzqW9mXby5t/6TJJn32GLCoK8x7dcZg+HV3rp+8H1wRVURGZ69aRvvZHlNnZmHfpjO3HHz91aoKsSMH5beGEnEnAysmEdm9Xr1BL7kSil7Fj6TwSw0IZ9e2vFX6LUmUWcuoYh39YjY2LG71nzMXMWj3TRET/kMfHkzh7NvnnL2DcqBFOCxaUeWtnYZ6M64diCDmbwMBZgeV6qoKYNL+i8pw0A+yN2Et9+/q4mP7zxVscHk7SgoUUXLyIgZ8fjrNnYdyggRajLElWEsOzSAjPJjE8i4yEkpEreoY69JpQ/418AyYvKuLa/l1c2b1VI+Oj1CXy+lW2L5lLw94DaTZouLbDeWVhV5M5/FMIDTp50KhXVQqCrxM9bBiW/fvjNG/uE885FXuKj45/xNTAqQyvob5/gwfJuWy4HMP24HiyC+W4WxszMNCN/gGuGhvJ9MpUKri7AzKjodmEZ851Hvn7FS5GZHBicivszDTzplNQKono1ZuUzFjGvyfh9+7ruftbPpmJBQyd1whDU83c6BEEgdCLSZzZHIZKqaJx77J3jVYVF5P+ww+k/fgTOsbG2E+fjkWvnhrvVyDI5WRt207at9+iSEnBpHlz7CeMx7DG05v9xT/I5Pgf98hJL6J+O3eCelR56pxrkaiySI+L4bdJH9K43xCa9H/2/HmR9kXdus6eLxehb2xC3xnzsHXz0HZIlY4gCGRt2ULK0mUIgoDDlMklVecy7ieXFyvRMyjfrx1i0vyKynvS/G/K3FzSvv6GjHXrkJqYYDfuE6wGDnxix1ZNEgSBrOQCEsKySAzPJiEsi9yMIqAkSXaqaoGTtyXO3pbYe5q9cW/AXuf4KHU5+O1K7p45wdBFK3GoorlxQa/L8T/uce9CIr3G18fF14rk5cvJ+PkX3H76CdNm/10yKwgC7x99n9tpt9nXe98LNVcqiyK5kkMhSay/FMOlyAx0pRLaVrdnUJA7LXzs0CnP1eenOBOWyvCfLzO9sx/vt9Tc10zm5s0kzfmMFb2ldHj7M2qnN+f4H/doPdyPGk2fPmtSXfIyizjx531i7maUzCce7oe5bdnupBeHh5M45zMKg4NL7t7P/Qx9T0+1xyioVOTsP0DqmtXIo2Mwql8f+4kTMA4MfOo5CpmSizsjuHkiFnNbI9qNqP7Gb6ERvTkOfb+K++dOM+qbXzA219y2EpH6pERFsH3JXBTFxfScMgu3GrW1HVKlJE9IIHH2HPLPncO4YUOcFi5A39VV22GphZg0v6KKkDQLKhXZu3eT8sUKlOnpWPbvj92E8U9s4qIJKqWKtLi80iQ58WEWhblyAIzM9HD2tixJkn0ssXExeeWGPBWVtsZHqUNRXh6/TfoAYwtLhi76ssI33JAVKdiy+CryYiWDZgehr6sisncfVAUFeO3ZjY6Z2X/OeZj1kL67+9KvWj9mNXpy4zB1iEjNY9OVWLZeiyM9X4aLpREDAtwYEOiKk0X5Xdb0bwqlii6rz1AkV3FkYgsMdDVzY0yVn8/99m15YJzD6U87sjBgKevnXcLS3pg+k/1f26xgQRC4ezaBc1tLulw37edNjWbOZaocCyoVWZu3kLJiBUJxMbYffojNu++ope+EIAjknTpF6lerKL5/HwNfX+wmjMe0ZctnxpYcmcPR3+6SlVxA7ZYuNO7jXe4rBCKRuuRlZvDTR+9Sq01H2r33gbbDEb2AnNQUti3+jOzkRDqNnYhfE/X0IRE9ThAEsrdtI3nJUgSVCvtJE7EaPLjCdzEXk+ZXVN6T5sKQEJLnL6Dwxg0M69bBcdZsjGrX0uhzKmRKkqNySpdbJz3MRl6sBMDc1rC0iuzkbYGlg7E41xCIDbnF6fXaGR+lLuFXLrLriwU06T+Uxv0GazucV5Yak8vWpVfxrG1LpzG1KLp9m6hBg7Ho3QvnhQufeM6iS4vYFLqJrd234mPlo9H4ZAoVR+4ms/FKDGfC0pBKoJWvPYOD3Gnta4duOb759OeFKGbvCuH7YQ3oVOvJTaXUIW7lcnJ/+IWV7zvyxYe7uLYlgXvnEhkwMxBb19ffEyAnrZDjf94jPjQL95rWtB7mV+amJ/KUFJIXLSb34EEMfHxw/HwexvVfvtdDwdWrpHy5ksLgYPTc3bH75BPMu3R+5psapULFlX2RBB+MxsTSgDZvVcet+uvdby0SaduZ9b9xefc23v3qB6wcNb9aRaRehXm57Fq+gPj7IbQc/h4B3XprO6RKS56YWFJ1PnsW48BAnBYtRN+t/K6afB4xaX5F5TlpVmZlEdaqNVITE+wnTSrZE6eBuzzFhQoSwx9VkcOzSI7OQaUo+dqxdjYpSZB9LHD2tizXXfG0ISUqgrMbfidSy+Oj1GXf6uU8uHiOYUu+ws7dU9vhvLLrR2I4vy2cVkN9qdnchZSVX5H+ww+4fv8dZq1a/ef4rKIsuu7oSg2bGqxtv/a13fSISS9g09UYtlyNIyW3GAdzA/o3cGNgoBtu1mVrQPW6ZBfIafXFCXwdzdgwSnMjpmSJiYR2aMdlHwj4YT0OuZ5sW3aNuu3caNZPszc0nkVQCdw5Hc/57eFIdaQ0H+iDb0PHMv875B4/QdL8+SiSkrAaPAi7CROeuPLhaYru3SNl5UryT59B184O27FjsezbB8lzmvilxeVy9Nd7pMfn4dfEiWb9fTAw0i3z84pElYGssIC1Y9/BvVZdekycqe1wRC9JIZNx4OsVPLh0Dv/OPWj51nsV9n1XeScIAtnbt5O8eAmCUon9pElYDamYVWcxaX5F5TlpBsg7dQqj+vXRMVdfI6387OKSvcjhWSSGZ5EWlwcCSKUS7DzMSpdaO1W1wNCkYi/T1ZTyOD5KHQpysvlt0oeY29oxZMEKpK95v7y6CSqBPV/fJDEsi/4zArG01SOqbz+UWVl47d2DjsV/97Ktu7eOJZeXsKbNGlq5tXqt8SqUKo7fT2HD5RhOPUhFAJp52zI4yJ121R3Q19X+i9T8vXf55Vwk+z5uTg1nzTX4O//hYExO3eDOmtEMbjmOLUuuUpgrZ8jchugbaj/Zy0op4Pgf90gMz8azji2thvpiYlG2739lXj6pq1eR+edf6NrZ4TB7Fubt2z/zHFlUFKmrV5Oz/wBSCwtsR43EaujQ586DVilVBB+O4creSAxM9Gg9zI8qdcpXM0KR6HW5tm8XJ//4kSELVuDkU7HHLL7pBJWKk3/+TPD+Xfg0bEKXjyajW07GrVZG8qQkEufMIf/0GYwDAkqqzu7u2g7rhYhJ8ysq70nzqxIEgZy0QhLCSqrICWFZZKcWAqCrL8XR6++mXRY4VLEQ97U9R3keH6UuoRfOsverJTQbPIKGvfprO5xXlp9dzKYFlzG2MKDftAbIH9wnasBALLp1xXnp0v8cL1fJ6bu7LypBxY4eO9DT0c6No4SsQjZfjWXzlVgSsouwNdWnbwNXBgW6U8VWO7MqH6bm0XHlafoHuLK4j+ZGTN2/cADlOxMJbufG0DUHuX08nrNbwug4qhbeDcrHWD0AlUrg1vFYLu6MQNdASsvBvvgEOJT5/MLbt0mcPYfi+/cxbdsWx9mz/jNDWZ6URNo335K1fTsSAwOs3xqOzbvvlulGamZSPkd/u0dKVA7eDexpOdhXY93GRaLyTqlQ8PO4UZjb2jNo3n9/9osqpmv7dnLyj59w8atBzymzMTIt+8od0YsRBIHsHTtJXrwYQaHAfsIErIYNrTBVZzFpfkWVLWkWVALpCfmPmnZlkRCeRUG2DAADE12cqlqWLre2czdDpxzvmyxP/hkftQ15UVG5HR+lLru/XERE8BWGL1ldrrt+l1XU7TT2fXOLum3caDbAh9TVa0j79ltcv/kas7Zt/3P8mbgzfHjsQyYHTGZEzRFaiPgfSpXA6QepbLgcw7H7KShVAo28rBkc5E7Hmo4Yvsbu9O/9doVLkZodMZUvy+d4r+Y4JBVR5eABjPUdWTf3Ik5eFnT7uG657BPw7+S0qr89LQdXw8isbBUPQS4n448/SF3zNRIdHezGj8dqyGCUOTmkr/2RzHXrEAQBq4EDsX1/DLq2z/+ZI6gEbp2I48LOh+jqv3gyLxJVRvfOnmT/mi/oNXU2VRs01HY4IjUKvXCGA1+vwMrZlf6zF4od0TVMnpxcUnU+dRqjgAY4L1yIvkf5HwMmJs2vqKInzUqFipTo3NIEOelhNsUFCgBMrQxKq8hO3pZYO5m8tm6zlUXJ+KgjXNi6vsKMj1KH/KxMfpv0IVZOzgz6fFml2Ct0etMDbp+Io9tHdXGvZkbkwEEoUlPx2rP7iZ3oPzj6ATdSbrCvzz6sDctHs6SUnCK2XItj45UYYjMKsTTWo099VwYHueHjoNm766cfpPLWL5eZ0dmPMRocMfX9N+/Rcs15Cj8Zhv+Hn3LopztE3khj0JwgLO3L1/7uf1MpVVw/EsPlPZEYGOvSaogfXvXtyny+LC6OpLnzyD97FgNfX+RxcagKC7Ho0QPbjz5C39WlTNfJSSvk2O/3SAjLwrO2Da2G+ZV52bhIVFkJgsCf08ehlMl4e8W3FaYyJiq76Fs32LnscyydnMXE+TUQBIHsnbtIXrQIQS7HfuIErIYNK9ffW2LS/IoqWtIsK1KQHJFTuh85KTIHpVwFgKWDcUmC7FNSTTazMSyXVZmKIjE8lANff0lmYnyFGh+lLvfOnGD/1ysqTXdKhVzJ1iVXKciRMWh2Q6QJEUT2H4B5+/a4fLniP8dHZEfQd1dfevv0Zk7jOVqI+OlUKoHzD9PZcDmGw3eTkCsFAjysGBTkTtfaThjpq/cmh0KpovOqM8iUKg5P0NyIqb0PdmH49nQsDS1pcOg0cWG57F59g8BuVQjqVkUjz6lu6fF5HP3tLmmxeVQLcqD5wGpl7g0hCAI5e/eR9vXXGFTzwW7cOAy8vct87t2zCZzdGo5EAs0H+ODX2El8DRCJgOjbN9i6YBbtR39MnbYdtR2OSEPExPn1kycnkzTnM/JOncJz4waM6tXTdkhPJSbNr6i8J82FebJ/mnaFZZEam4egEpBIwNbNDCdvi0dNuywxNhcbIKhLZlIC62dNRt/QiDbvjK5w46PUQRAEdi6fT8ytG7y1fA1WTmWrdJVnGQn5bF58BRcfS7p9VJf0H74nddVqXL76CvNO/30jtfTyUtbfX8/mbpvxtS6fTWPS8orZHhzHxsuxRKTlY2aoS+/6LgwKdFdbo64/LkQxZ1cIPwxvQMeamhkxFZ0TzQ9zejH8YBFO36zBtEVrNs6/DAIMmhOE7mtchv6qlEoV1/ZHce1ANIZmJc23PGtrbitHXmYxJ/68R8zdDFz9rGjzVnXMrMVJByLR37YtmkNKVASjvv5FbBZVyYmJ8+snCAJFN2+W64QZxKT5lZXnpFkhU/LjhNOolAI6ulLsPc1wflRFdvSyQF8cF6IRhXm5bJg1mcLcHIYs+KJSJIsvKy8jnd8mf4idexUGzFlUrpfdlNWd0/GcWh9K037e1G3lTNTAQcgTEvDauwddG5vHjs0uzqbrjq74WvnyU4efyvWNE0EQuBSZwcbLMey/k4RMoaKuqwWDgtzpXtcZU4OX+3mRXSCn5RcnqO5ozvpRDTXybyBTynhv22A+XnIPq+p18f5rPVf3R3F5TyTdP6mLew2b51+kHEqNyeXob3fJSMjXyJgnQRB4cDmZM5seoFSoaNLHm1otXMRtOCLRv6RGR/LH1I9pNugtGvYeoO1wRK+BmDiLnkRMml9ReU6aAe6eS8DSwRgHD3N09Cp+wlLeKRVyti6cTeKD+/SbtQDX6rW0HZLW3Tl5lEPffUWbd8ZQv1N3bYfzygRB4MD3t4m+k06/aQGYFycR2acvpq1b47Lqq/8khRvub2DRpUV81for2rr/t2lYeZRVIGN7cDwbr8TwIDkPE30detRzZlCgO3VcLV4o8Z23J4Tfz0ex75PmVHfSzIipJZeXwLd/0OMSVNm6BZl9FTbMu0yVurZ0HFWxvweVchWX90Vy/VA0JpYGtBleHbcar75HviBHxqn1oUTcSMXRy4K2I6pj6VB+93yLRNpy4OsVhF2+wKhvfxU7K79BxMRZ9P+elTSLGVYlUKOpM87elmLC/BoIgsDhH9YQd/cOHT8YLybMj9Rs2RbPuv6cWf872SlJ2g7nlUkkEtoMr46RqR6Hfw5B6u6F7Scfk3v4MDn79//n+P7V+uNt6c2KqyuQKWVaiPjFWRrr826zKhwa34JtHzShc20ndlyPp+c35+i6+ix/Xogip0j+3OuEp+Tx54VoBga6ayxhPhFzgsMX/qLbVQmWPXpgWKMGpzc+QKojoWk/H4085+ukoyelca+q9JnaAF19HXavvsHJ9aHIihQvfc2H11PY8Pklou6k0bhPVXpP9hcTZpHoCXLSUrl//jS12rQXE+Y3jEedevSaOoesxAS2zP+UgpxsbYckKsfELEskegEXt2/k7unjNOk/lOrNWmk7nHJDIpHQfvTHSKQSDv+wmsqwgsXQVI9279QgK6WAs1vCsHn3XYzq1iX58/koUlMfO1ZXqsuUwCnE5sby172/tBTxy5FIJDTwsOKL/nW5/Gk75vcquRE0e1cIQQuPMmnzTa5FZzz1/3ThvrsY6ekwqUM1jcSXlJ/E7POzef+CKbq6+thNGE/E9VRiQjJo2MMLU6vK0/XZsYoFAz8NpF47N0LOxLNpwWXiH2S+0DWK8uUc+SWEgz/cwczakAEzA/Hv4IFUXI4tEj3R9YN7EASBBl16aTsUkRaIibOorMSkWSQqo3tnT3J+8zpqNG9No76DtB1OuWNua0fLYe8Rc+cWt48d0nY4auHqZ41/Bw/unk3g4Y10nBYvRlVUROKcz/6TRDZxbkJL15asvbWWtMI0LUX8aswN9RjeyIN9nzRj90dN6V3flYN3Eun73QU6rDzNz2cjycz/p5J+MjSFE6GpfNzWG1tT9SevCpWCqaen4hZTSO0b2Vi/8zaCpS1nNodh42pK7VaVr5eArr4OTfv50HuSP0gk7PzyOmc2P0AuUz733Og76Wz8/BLhV1MI7FaFvtMaYONs+hqiFokqpuKCfG4dPUC1Rs2wsBfnlL+pxMRZVBZi0iwSlUHc/RAOffcVrjVq0X7MJ+W62ZM21W7bEfdadTj118/kpKVoOxy1COpRBXsPM06uu4/M0gm78ePJO3GCnN27/3Ps5IDJFCuL+fr611qIVH0kEgl1XC1Z3Kc2lz9tx5I+tTE20GX+3rs0XHyMcRuvcz48jQX77uFhY8yIJp4aieO7m99xPTmYqRft0bG1xea9kVzZG0l+VjGthvgi1am8L2HO3pYMmhVE7Vau3Doex6YFl0mKePIbOVmRghN/3Wfv1zcxMNGj77QGBHWrgk4l/vcRidTh1tGDyAoLCezeR9uhiLRMTJxFzyO+oopEz5GZlMCuLxZibudAj0mfoqtXtnmqbyKJREKHMZ8gqASO/PhNpVimraMjpcPImqiUAkd/vYvlsGEY+fuTtGAh8uTkx471tPBkiN8Qtodt5176PS1FrF4mBroMCnJn19imHBjXnMGBbhy/n8KQny4RnpLHp12qa2Qm88XEi/x460c+zg7E8G4Udp98TFa2wM3jcdRo6oSjV+Vv2KJnoEOLQdXoOb4eKoXA9uXXOL89HIX8n6pzfGgmG+df5u65BOp3cKf/jADsPTSzt1wkqkyUCjnBB3bjXqsODl5lm3UuqtzExFn0LGLSLBI9Q2FuDjuWzAWg9/TPxCYhZWBh70jzISOIunGNkFPHtB2OWljYGdNycDUSwrK4fiQW58WLEORyEmfP/s+NgTF1x2BpYMnSK0srxU2Df6vuZM68nrW4PLMdK/rX5dMu1WlfQ/1LGtMK05hxZgbeJp603huHgY8PFr37cGp9KAZGujTu/Wa9wXX1s2bQ7CCqN3Xm+uEYNi+6SkJYFmc2P2DnyutIpRL6TG5Akz7eFWpWtUikTffPnSYvI52A7n21HYqoHBETZ9HTiEmzSPQUCrmc3SsWkZOaQq/Js7BydNZ2SBVGvQ5dcfGryck/fiQvI13b4ahFtYaO+AQ6cHlvFBlKS+wnTSL/9Bmyt29/7DhzfXM+qv8R15KvcTTmqJai1SwjfR36NnBlVAsvtW9VUAkqZp2dRU5xDotSmqOIjcN+6lRCr6SQ+DCbxn2qYmj65q320DfSpfUwP7p9XBdZoYIdK4K5dTyO2q1cGTgrCKeqlb/yLhKpiyAIXN2zHVs3Dzzr+ms7HFE5IybOoicRk2aR6AkEQeDID6uJu3eHjh9OwMWvhrZDqlAkUikd3/8EpUzOkZ8qxzJtiURCyyG+mFoZcPjnEIz7DMA4KIjkxUuQJyQ8dmwfnz74WPmw4uoKipXFWoq4Yvot5DfOJZxjZvWPkfy+DZNmzdCt35Dz2x7iVNWC6o2dtB2iVnnUtGHwnCAadPag5/h6tBhUDT0DsbosEr2IqJvBpMVGE9C9j9ijRPREYuIs+n9i0iwSPcHFbRu5e+YETQcMo3rTltoOp0KycnKh6aDhRFy7zP1zp7QdjloYGOnS4b2a5GUWc3pjGI4LFyCoVCTOenyZtq5Ul2mB04jPi+fPu39qMeKK5WbqTdYEr6G9R3uaHk5ElZuL/dQpXNgRTnGhghaDfZGIo5MwMNajUc+quPpZazsUkahCurpnG6bWNvg1baHtUETlmJg4i/5NTJpFov9z78wJzm9ZR82WbWnYZ6C2w6nQ/Lv0wMnHl+O//kB+1ovNmy2vHL0sCOrmSdiVZCLjdXGYOoX88+fJ2rT5seMaOjWkjVsb1t5aS2pB6lOuJvpbjiyHqaem4mDiwCzX98jcsAHLvn3J0nXg7rlE6rZxxdZVHJ8kEoleTXJEODF3buHfuQc6um/eVg/RixETZ9HfxKRZJPqXuHt3OPT9Ktxq1Kb96I/EZVuvSCrVoeP745EXF3H8l++1HY7a+HfyxNnHktMbHiBp3R2TJo1JXrYMWVzcY8dNCpiEXCVn9fXVWoq0YhAEgbnn55JSkMKyFssoWPUDEj09bMZ+xMn1oZhYGhDYrYq2wxSJRJXAlT3b0Tcyok67TtoORVRBiImzCMSkWSQqlZkYXzJayt6R7pNmineg1cTG1Y3G/Ybw4NI5Hlw8q+1w1EIqldDunRpIdSQc+eUuDvPmI5FISJz5KYJKVXqcu7k7w6sPZ1f4LkLSQ7QYcfm2OXQzR6KP8In/J3hHy8g9cgSbke9xL6SY9Lg8mg/wQd9QV9thikSiCi47JZkHF89Su20nDIxNtB2OqAIRE2eRmDSLRJSMltq+ZC4SiYQ+08TRUuoW2L0PDl7eHP35u0rzQmNmbUjrYX6kROcSfLUIhxnTKbh8mcz1Gx47bnSd0VgZWrH0cuUbQaUOoRmhLLuyjKYuTXmr+nCSly5D18EBg95DuLQ7Avea1njVt9N2mCKRqBII3r8LiUSCf+ce2g5FVAGJifObTUyaRW88hVzOri8WkpueRs8ps7F0fLO782qCVEeHjh+Mpzg/nxO/rdV2OGpT1d+eGs2cCT4cTW7NNpg0b07KihXIoqNLjzHVN+Xj+h9zPeU6h6IPaTHa8qdAXsCU01OwMLBgYdOF5O0/SNHt29iNH8+FvXGolAItBlUTt0mIRKJXVpSXx+3jh/Fr0gJzW/FGnOjliInzm0tMmkVvNEEQOPz9KuLvh9Dpg/G4+FbXdkiVlp27J436DOT+uVOEX7mo7XDUpll/H6wcjDn2212sps9BoqtLwsxPEZTK0mN6e/fG18qXL69+SZGiSIvRli+LLi0iKjuKxc0XYyUxIWXllxjUqE62TzPCr6XQoLMHFnbG2g5TJBJVAjeP7EdeXERA9z7aDkVUwYmJ85tJTJpFb7QLW9dz7+xJmg4cjp84Wkrjgnr1x86jCkd//paivDxth6MWegY6tH+3JoX5cs4czsB+5kwKr10j489/Rk3pSHWYFjSNxPxEfg/5XYvRlh97Hu5h18NdjK4zmoZODcn4408UCYnYTJzKmU1hWNgbUb+Du7bDFIlElYBCJiP4wG486/pj5yE2FRS9OjFxfvOISbPojXX3zAkubN1AzZbtaNh7gLbDeSPo6OrS8f1xFGRncfKPH7UdjtrYuZvRuFdVIm+mEWcVgGnr1qSu/IriiMjSYwIdA2nv0Z6f7/xMcn6yFqPVvuicaBZcXIC/vT/v130fRUYG6T/8gGnr1oRmOZCdWkjLQb7o6uloO1SRSFQJ3D1zgoLsLAK6iVVmkfqIifObRUyaRW+kuLt3OPTdKtxq1qH96LHinsnXyMHLm6Ce/Qk5dYzI61e1HY7a1G3jhntNa85tC0d/7HQkhoYkzpjx2DLtCQ0moFAp3ugRVDKljCmnpqCno8fSFkvRleqS9vXXqIqKMBg5juCD0XgH2ONWw1rboYpEokpAUKm4tncHdp5euNeuq+1wRJWMmDi/OcSkWfTGyUiIZ9cXC7B0cKTHRHG0lDY06jsIG1d3Dv/4NcUF+doORy0kUgltR9RA31CHEzsSsZs5m8KbN8n49dfSY9zM3Hirxlvsfrib26m3tRit9nx57UvuZdxjQdMFOJo4UvzwIZmbNmM5YCCXzhUi1ZXQrJ+PtsMUiUSVRMT1K2QkxBHYvY94g1ykEf9OnLeKiXOlJSbNojdKQU42O5bORaKjQ+/pczE0NdV2SG8kXT09On4wjvyMDE799Yu2w1EbY3N92r5dg/T4fO4UemPWvj2pq1ZTHB5eesyoOqOwNbJl6ZU3bwTV8ZjjrLu3jmHVh9HKrRUAKcu/QGpkRG6rocTczaBhdy9MLA20G6hIJKo0ruzejpmtHdUaNdN2KKJK7O/EOVNMnCstMWkWvTEUMlnpaKleU2Zh6eCo7ZDeaE7evjTo1ovbxw4RfeuGtsNRG4+aNtRt48btk/EUD5qA1NSUhOkzEBQKAEz0TPik/ifcTL3J/sj9Wo729UnMS2T2udlUt67OhAYTAMi/eJG8kyexGPU+5w8kYutmSu1WLlqOVCQSVRaJYaHE3w+hQZde6OjqajscUSXnUacePafOFhPnSkpMmkVvBEEQOPT9KhJC79J57EScq4mjpcqDJgOGYuXkwuG1a5AVFWo7HLVp3LsqNq6mnNwRh/m0ORTduUP6Tz+Vfrynd0+qW1dn5bWVhKSFVPqKs0KlYNqZaShUCr5o+QX6OvoISiXJS5eh5+xMuEVT8rOKaTnYF6mO+LIkEonU48qebRiYmFC7TXtthyJ6Q3jWqS8mzpWU+O5E9EY4v2U998+dotmgt/Bt3Fzb4Yge0dM3oOP748hJS+HM+t+0HY7a6OhJ6fBeTRTFSi5HO2DWuTOp33xLUWgoAFKJlJkNZ5JVnMWgfYPouK0jSy8vJTg5GJWg0nL06vftjW+5nnKdOY3n4G5eMkYqe9duiu/dQ3fUJG6dTqRGM2ccvSy0HKlIJKosMpMSCLt8gbrtOqNvJM57F70+YuJcOYlJs6jSCzl1jIvbNlCrdXuCevXXdjii/+PiVwP/Tt25cWgfcXfvaDsctbF2MqHZAB9i72WS3Ho0OubmJcu05XIA6tnX41j/Y8xvOh9fK182h25mxMERtN3SlvkX5nMh4QJylVzLn8Wru5BwgZ9u/0Rv79509eoKgKqggNSvvsKgTh2uxdpjYKxL415VtRypSCSqTK7t24WOjg71O/fQdiiiN5CYOFc+YtIsqtRiQ25x+Ic1uNeqQ7uR4mip8qrZoLewcHDk0PerkBcXaTsctanRzBmv+nZcPpSI/oR5FN+7R9r3P5R+3MLAgl7evVjTdg2nB51meYvl+Nv7sydiD6OPjKb15tbMOjuLU7GnKFYWa/EzeTlphWnMPDuTKhZVmB40vfTx9F9/RZGSQk6v8SRF5NCkT1UMTcUu9iKRSD0KcrIJOXmU6s1bY2oljq8TaYeYOFcuYtIsqrQyEuLYvWIRlo5OdJ84U2wCUo7pGRrSccwnZCUncm7Tn9oOR20kEgmth/lhZKbP2VvGGHfvRdoPP1AYEvKfY030TOhUpRMrWq3g9MDTrGq9ihYuLTgec5yPjn9Ey00tmXpqKoeiDlEgL9DCZ/NiVIKKT89+Sq4sl+Utl2OsV7I8Up6SQvrPv6DfvhtXr8lx8rbAr5GTlqMViUSVyY1D+1DIigno1kfboYjecGLiXHmISbOoUirIyWb7kpLRUn2mf4ahiThaqrxzq1mHuu27cG3/bhIe3NN2OGpjaKJH+3dqkJ1aSLjvIHStrEicMROVTPb0c3QNaePehkXNF3Fq4Cm+b/c9nTw7cSnpEpNPTabFphaMOz6OPQ/3kCPLeY2fTdn9eudXziecZ2rgVKpZVSt9PHX1agS5nMgaA5EVKmk52BeJVFwBIhKJ1ENeXMSNQ3vx8g/ExtVN2+GIRGLiXEmISbOo0lHIZOxavoD8jAx6TZmNhb04WqqiaDH0bcxt7Tj03SoUz0gqKxoXXysadPLg/tV0ikbNo/jBA9K++bZM5+rp6NHUpSlzm8zleP/j/NLxF/r69OVO+h1mnp1Jy40tef/I+2x9sJX0wnQNfyZlcyPlBmuur6GDRwf6V/unj0BRaCjZ27aj6jOa0Js51G3rho2LeENLJBKpT8ip4xTm5hDQXawyi8oPMXGu+CpM0iyRSFwlEskaiURyQSKRFEgkEkEikXiW8VzPR8eP1HCYIi0TVCoOfvcVCQ/u0WnsRJyr+Wk7JNEL0Dcypv3oj8lIiOP81vXaDketArtVwaGKORev66DXcwjpP/5I4e3bL3QNHakOgY6BzGg4gyP9jrCuyzqG1xxOTG4M8y7Mo82WNrxz8B3W3VtHUn6Shj6TZ8suzmba6Wk4mjjyWZPPSvsICIJAytJlYG7JbUkDTK0MCOzqqZUYRSJR5aRSKbm2bweOVX1wrV5L2+GIRI8RE+eKrcIkzYA3MADIBM5oORZROXV+yzpCz5+m+ZC38W3cTNvhiF6CZ5361G7Tgau7t5MU/kDb4aiNjo6U9u/WRBAEblp1RGrvQML0GciTU17qelKJlDp2dZjYYCL7eu9ja/etjK4zmqziLJZcXkL7re0Zum8ov975ldicWDV/Nk8mCAJzz88lpSCF5S2WY65vXvqx/DNnyD9/nsxek0hPKqTZAB/0DcU+AyKRSH0eXrlEVlIiAd37io0/ReWSmDhXXBUpaT4tCIKDIAhdgC3aDkZU/tw5eZSL2zdRq3UHAnv01XY4olfQcvh7mFhZcfC7r1DIK/7Ypb9Z2BnRcrAvSVF5pA38DFlUFOHt2pEwbRpF915+H7dEIsHX2pex9cayo+cOdvfazTj/cSgEBV9e+5IuO7rQb3c/vrv5HeGZ4QiCoMbP6h+bQzdzNOYo4/zHUduudunjgkJB8rJlKL1qcifJFo9aNnjVs9NIDCKR6M0kCAJX9mzDwsERn4aNtR2OSPRUYuJcMVWYpFkQBJU6ryeRSGwlEskliURyTyKRuKvz2qLXL+bOLY6s/Rr3WnVpN/JD8Q5zBWdgbEL70R+RHhfDpR2btB2OWvk2dMS3oSM3bykxWbsNq0GDyDlylMjefYge8Ta5J04gqF7tx10ViyqMrD2STd02cajvIaYETMFEz4TvbnxH79296bGzB6uCVxGSHqK2BDo0I5RlV5bRzKUZb9V867GPZW3bjiz8IVGN30elEmg+sJr4PSoSidQqPvQuiWGhNOjaC6lUR9vhiETPJCbOFU+FSZrV6dFe6HOAADQTBCFGuxGJXkV6fCy7v1yIlZMz3SfOEEdLVRJe9QOp0aINl3duISUqQtvhqFWLQdUwszHk5L50hEFj8T5+DPvJk5BFRRH3wYdEdO1G5sZNqAoLX/m5nE2deavmW/ze+XeO9T/GrIazcDRx5Nc7vzJo7yA6bevEsivLuJ5yHdVL3psskBcw+dRkLAwsWNhsIVLJPy8tyrx8UlevJq9hD6LjpQR09sDCzuiVPy+RSCT6t6t7tmNoakatlu20HYpIVCZi4lyxvHFJs0QiqQucBx4CbQRBKB/tZkUvpSAnmx1L5qKjq0fvaeJoqcqm1YhRGJmZc/C7r1AqFNoOR230jXTp8F4tZEUKti+/xtY1D0j06YT73gM4L1+O1MiIpLlzCW/dhpRVq1Ckpqrlee2M7RjoN5AfO/zIyQEnmd90Pj5WPmy8v5G3DrxF2y1tWXBxARcSLiBXlX1Z/KJLi4jOiWZJ8yVYG1o/9rH0n35ElpnNPYfOWDoYU7+9h1o+F5FIJPpbRkIcD69eol7HrugZGmo7HJGozMTEueKQaGpvmyY96oL9I1BFEISoMhzvCUQCfwI9gN3Au4IgPPVduEQiGQ2MBnB3d28QHR396oGL1Eohk7F5/kxSIyMY8NlinHx8tR2SSAPCrlxg9xcLaTpgGI36DtJ2OGolK1IQdiWZO6fjSYvNQ89Ah2oNHanZ3BmTpPuk//obeSdOINHVxbx7d6xHjMDQt9rzL/yC8mR5nIk/w5HoI5yNP0uhohALAwtau7WmnXs7Gjs3Rl9H/4nn7nm4h5lnZzKmzhg+qv/RYx+TJybysFNn4lp8QKjchx7j6uFW3fqJ1xGJRKKXdXjtGu6dPsGob37B2MJS2+GIRC8s6tZ1di2bj5WTM/1mL8TY3ELbIb2RJBLJNUEQAp74sTcsaU4HLIGWgiCcK+vzBQQECFevXn2pWEWaIahU7Fu9nNALZ+g+YTrVGomdsiuzvauWEXbpPMOXfIWtu6e2w1E7QRBIicrlzuk4wq6moJSrcPSyoFZLF1yt88ndsI6s7TsQioowadIE63fewaRZU43sCy5UFHI+4TxHo49yKvYUufJcTPRMaOHSgnYe7Wjm0gxjPWMAorKjGLB3ANWtq/Nzx5/RlT6+NSJh2jSSTlzlcuAsvOrb0WGkOAJGJBKpV35WJj9+9C41W7al/aiPnn+CSFROiYmz9olJ8z9J84dAB6At0LmsibOYNJc/Zzf+waUdm2k+5G2CevbTdjgiDSvIyea3SR9iYWfP4PlfINWpvE1eivLl3L+QSMiZBLKSCzA00cOviRN+dUwRju8m86+/UKSmou9dFZv/tXffcVKVZ//HP9f2pe5Slw5SFASlaawJRhQ7Gk0s+LMkscQkaooxMRqjPtFYk1iSPBpjNDGaRKNoRFSUB9RYKVIVpC+9I2XrXL8/zlkYEBC23Tuz3/frdV67O3NmuefLzpy5zrnLJZfQ4vTTycjNrZO2lFeW896K9xi3aBxvLH6D9aXryc3M5eiORzO823CemPUEy7cs55nTn6GoadFOj902YyYLzjmHWafcwbpEIaNuOYKmLeumnSLSeL319F957/l/8s3f/JHCDp1CN0ekRlQ4h6WieUfRfBnwOPAUMAI4xd2/cM1nFc0Ny4zxr/HKH3/HgONHcMJl39MsvI3EJ++8yX9+e2ejOVHi7hR/sp6ZE5Yy/6M1eMLp0q8VBx/VnsLF77Hhiccp/fhjMlu1ovCCCyg8/zyyWreus/ZUJCqYsmoK4xaNY9zicazaGq0v/cBXH2BYl2Gfa/viiy5m8epcpnU/n2O+0ZtDv9qlztomIo1TWck2HrnqUjr3G8DIH/88dHNEaoUK53DSpmg2s6pPyscDVxJdOV4NrHb3CXt5XHfiotnd/2RmWcCTwKlEhfPEvf27KpobjsUzPuLZ239Bl4MP4azrb9ZM2Y2Iu/PifXcwf8oH/L8776d1p8ZThG3ZUMqst5cx661lbF5fStOCXPod3YEeTVdQ8o8n2DxhApaTQ8uRI2l1ycXk9uxZp+1JeILpa6bzWdlnHNPp80MjPnv9dRZe/WM+OP4umrZvydd/OpSMzEY376SI1LHJL7/A+L88zHm33k2nA/uGbo5IrVHhHEY6Fc17auwEdx+2l8d1J6lojm/LJJoYbCRwmruP39PjVTQ3DGuLl/DUTT+mWavWnH/b3eQ2aRq6SVLPtmxYz19+dBWFHTtx3i13Nrq1OBOVCRZOX8vMiUtZPGsdlmH0OLQNB/bOIG/8P9n0wmi8tJSmXz6W1pdeSpMjjqj3nhheXs78089gdqvjWNRyKGf/ZAhFPXSwF5Halais5NFrLqdZYSvOv+3u0M0RqXUqnOvf3ormlDr17+62h23YFzxuYbzfn5Juq3T3C9y96d4KZmkYtm7cwHN3/pLM7GhpKRXMjVPTgkKOu+Ryls/5mCkv/yd0c+pdRmYGBwxsy+lXD+TC245g4PAuLJu7gZf/uZI37CS23vY0za+6hpKZs1h86TdZcOZZbHjueRJlZfXWxvVP/4O1q8tZ3HIoBx/TUQWziNSJOe+9zabVKxl6xtdCN0WkTmg5qoYlpa40h6IrzWGVl5Xyr1tvYPWihXzj5tvp0EtLSzVm7s7zd93K4hnTuOjuBygs6hi6SUFVlif4dPIqZk5cyvJ5G8nMyqDnoNb0YD72/KOUzZ1LZts2tBo1ioJzzyWrsLDu2rJpE5+eeBKTDrmakhaduOCWI8hrml1n/540fJUVFaxfvpS1xYtZs2Qxa4sXsXbJYjasXAFARkYGlpm509edvs/MxCz+mpH0NWPHzztuy8AyMsnIjL/u7ndVPXZ3t+3x92dsv63q92VmZZGdl09OXl78NZ/svDxy8vLJzM7WXBt1zN158oYfULZtG5fe9wcsI6WuAYnsl+QrziOvu5GW7Yq++EFSLWnTPTsUFc3heCLBf353F3PeeztaWupLR4dukjQAn61bw+M/+i5tu/XgG7+4XR+YYmuXbmbGxKV88t4KyksqadO5Gb06llD436cofev/sLw8Wp51Jq0uuojcHj1q/d9fedfdzHj5Yz4+cBTHX9yXg47sUOv/hjRMlRUVbFixnLXFi+LiONrWL19KorISALMMCoqKaN25KwVFHcnIzCRRWYknEiQS8deqnyt3c1vSz4lEAo+/JhKV27/fcVsCT1SSqEx8/rG7+X21KSMzk+yqYjo3j5z8fLKTiuqqAruq6N7T/Tl5+WTnR/tkZunkU7LFM6bxr9tu4ITLvschw08K3RyROrdw2hRG3/0/VJaX0+uwIxh86kg6HdhPJ+hqmYrmGlLRHM6bTz3O+8//iy9f+E0OO11dsGSH6eNf5dU/3s/hZ36dY867SAeOJGUlFcx5fyUzJi5lbfFmsvMy6XVgHh0XvQEvPYWXl9PsuONodcklNDn8sFrJrqy4mI9P/zrvHnEzbXq25awfDdb/SRpKVFayYeVy1i5ZzJr4qvHa4sWsW7aURGVFtJMZBe2KaN2lK607d6VN56607tKNwo6dyM5pmMuOVRXROxXeycV1ZWKn2yoryikr2UZ5SQnlJdsoKymhbNs2yku2UV5aQlnJtvjnpPtL4vur9i0t2ef2ZWRmRVe183cpqrdf7c4jJ78J2bl5O65+5++4v2rfHY/LS+mJNP99x82smP8plz305wb7NyVS2z5bu4apr77EtHFjKdn8Ge0P6M2QU86gz5HH6MRaLVHRXEMqmsOY/sarvPq/93PI8Scx/LLv6gO47MTdefV/72fG+Nc46OivMOLKa8jKyQndrAbF3Vm5YBMzJizl00mrqKxIUNStCd0q5tDs5UfwdWvI69ePVpdeQouTTsKyq3/QXfrDH/LewrasKPoS5/78cFp3alaLz0TqWyJRyYYVK1i7dPH2wnjtkkWsW1ZMZUXF9v1atmtP67gobtM5KpJbdepMdm5ewNanBk8kKC8rjYvorZTFBXZ5XGDvKMqT768qwrftdv+K0tJ9/vczMjPJysklOzeXrNxcsnPzyM6p+j436b68nX/OySU7Lzfed+fHbP9dOXlk5eaSmZVV68fuNYsX8vh13+Oob4ziyLPPr9XfLZIKyktLmDVxPJPHjGbdsmKaFbZi4IjTGHD8CE0WVkMqmmtIRXP9WzR9Kv++42YtLSV75e68P/oZ3nrqcTr0OYgzf3wjTVoWhG5Wg1SyuZzZ7yxn5sSlbFy9jbymWfRovYm27/ydrLlTyGrfnsILR1H4jW+Q2XL/Drrbpk5l6uU/Z/LgHzHohK4cdXavOnoWUtsSiUo2rlq5vTBes2RRfOW4mMry8u37tWjbLiqOO3elTZdu0fedupCdp+K4IUkkKqkoLaVs2+6L6qqr3BVlpZSXllBeWkpFaSnlZfHXqtvKSnd8LSnZfv/+MssgO2+XgntvRXpe3hfu+8ELzzJv0ntc/tBj5DdvUQcpiqQGTyRYOG0Kk156nkXTppCVnUPfLx/HkFNG0rpz19DNS0kqmmtIRXP9Wlu8mKduuo7mrdtw3q13aaZs+UJz3nublx+8jyYtCzjrJzfRpmv30E1qsDzhFH+8nhkTl7Jg2hrcnU5F0GHxeJq//SwZTfIp+NrXaHXR/yOn6xcfdN2dBeeP4s2806CoK+f/8ghy8nSSq6HxRIKNq1ftPOZ4SVQcV5TtKIaat2m7vTt1605dtnexzsnLD9h6aQjcnYrysp2L610K7p1/riq8d953+/dJxXnyY9mHz6UDR5zG8d+8sh6etUhqWLNkEZNffoHZE8dTUV5Gt0MGMeTUM+l+qIZK7Q8VzTWkorn+bNmwnr/f+GMqykoZ9av7aNG2XegmSYpYMW8uz991K+WlJZx27U/pMXBI6CY1eJvXlzLr7WXMenMpWzaW0bR5Jl3LP6HVxCfI3baO5sOPp9Ull5A/eM8H3U1jx/LOPS/yaa+zOfmKARwwqG09PwtJ5okEm9as3umq8drixaxdumSnK4XNWrfZ3p26dZeutOncjVadupDbpEnA1ktj5+5Ulpdv77ZekVxkx1fHK8vL6TFwqP5WRXZj66aNTBs3lqmvvsSW9eto1akLg08+g35fPk7DZvaBiuYaUtFcP8rLSvnXLTewevFCzr35Dop69QndJEkxm9as5vm7b2PNooUcd+nlDBpxWugmpYREZYKF09YyY2IxS2avxzKgU9MNtJ/8DC2WTiF/wABaXXIxLUaMwJKGSiTKyph1+nm81e1yOh9SxKnfPVRntOuJu/PZ2tXxhFxV444XsbZ4yU4TTDUrbBVdNd7etTr6qh48IiLpq7KinDnvvMWkMaNZOf9T8po155DhJzFwxKk0b9UmdPMaLBXNNaSiue55IsF/fnsnc97/L2f88Gf0Pvyo0E2SFFVWso0xD9zDvA/fY+CI0zju4svIyMwM3ayUsWHlVma+uZTZ7yyndEsFLfIr6Fg8gbazXya/XQGtLvx/FHz9HDKbN2ftnx/j9f+sZV2HwZz/yyNp2VZdeOvS1k0bWTh1EvOnfMiiaVMo2fzZ9vuaFhTudNW4qkjOa6YJ2UREGit3Z+kns5j80mg+/eBdLMPoc8QxDDllpC5O7YaK5hpS0Vz3Jv79L3ww+hm+cuE3GaqlpaSGEolKJj75Fyb95zm6DxzCaddcr658+6mivJJ5k1YxY+JSVszfRGYmdCj9lKKP/k3LxBoKvvY15o2fzdRel/KlMw5g6CndQzc57XgiwcoF85g/+QMWTP2QFfPmgjtNWhbQY+AQOvQ+cPvM1fnNmoduroiINGAbV61gytgXmf7Gq5Rt20bHPn0ZcupIeh12pC4uxFQ015CK5ro17fWxvPbwgxx6wskc/62r1L1Tas2018fy+qN/oLBDJ866/mZatmsfukkpaU3xZ8yYsJRP3l9JRWklLTM2UvTJyyzufDw5HTtw/q3HkJmdEbqZaaFky2YWTZvCgikfsmDqJLZu3ABmdOjVhx6DhnLAoMNo1/0ALEN5i4jI/ivdupWZ//cak8e+yMaVK2jRth2D4iWrGvvQHRXNNaSiufYkEpWsLV7CinlzWPHpHFbMm8vqhQvodshAzrr+Zp3pklq3eMZHvHDf7WRkZnHmdTfSsU/f0E1KWWXbKvjkvRXMmLiUdcu2AHDGtQPpclCrwC1LXe7OmiWLoqvJUz5k2ZzZeCJBXtNmdB84hB6DhtL90MFae1NERGpVIlHJvEnvM3nMaIpnzSA7L5/+w4Yz6OTTKSzqGLp5QahoriEVzdXj7mxcuSIqkOfNZcW8uaxc8On2GVxz8ptQ1LMXHfv0ZejpZ6v7rNSZdcuKee7OW/hs7RpGXHkNfY8ZFrpJKc3dWTFvI1s3ldFzsGa4319lJdtYPP0jFkz5kPlTP2Tz2jUAtOvekx6DhtJj0FA69Oqjk4giIlIvVi6Yx+Qxo/n47YkkEpX0HHI4g08eSZeDBzSqHqAqmmtIRfO+2bx+XVQYJxXJVRPVZGZn0677ART17ENRrz4U9exNYVFHdTGUerPts028cO/tFM+ewZHnnM+R51zQqA4EEo67s375srjL9YcUz5pOZUUFOfn5dBswKCqUBw6hWavWoZsqIiKN2JYN65n66kt89OoYtn22ibbdejD4lJEcdPRXyMrODt28OqeiuYZUNH9e6dYtUWEcd7FeMX/u9qslZhm06dKV9j2j4rioVx/adOlGZtJSNSIhVFaU89rDDzFzwjgOOvorjLjyGrJyckI3S9JQeVkpxbNmRIXylA/ZsHI5AK06deGAwYfRY+BQOh3Ul8ys9P8QIiIiqaWirIzZb/0fk8eMZs2SRTRpWcChJ5zCwBNPoUnLgtDNqzMqmmuosRfN5WWlrF44f6cief3ypdvvLyjqEF1B7tmb9j170757T7LztIC6NEzuzgcvPMubf/8LHXofyMgf30jTgsLQzZI0sHHVShZMncSCKR+weMY0KspKycrJpWv/Q+gxcCg9Bg2hZbui0M0UERHZJ+7O4ukfMfnl0cyf/AGZWVkcdMwwhpwykrbdeoRuXq1T0VxDjaloTlRWsmbJoribddTFes2ShSQqKwFoWtgqunqcVCRrqRNJRXPf+y9jHryXJi1bctZPfkGbrt1DN0lSTGVFOUs/ns2CqdHV5LXFiwFo2a49PQYdxgGDD6Nzv/5k5+QGbqmIiEjNrFtWzOSXX2TmhHFUlJbStf8hDD5lJAcMOixthluqaK6hdC2a3Z0NK5fv6GI9by6rFsyjoiyaqCu3aVPaH9B7exfrop69ad6qTeBWi9SelfM/5bm7bqW8ZBunXXM9PQbt9n1SZLvN69ay4KNJLJj8IYumT6Fs2zYyMrPo3K8/B8STeBV26KTx8iIikpZKNm9m2utjmfLKf9i8dg0FRR0YfPIZHDxsODl5+aGbVyMqmmsoXYrmzevWbi+OV8ybw8p5cynZshmArOwc2vXoGV9FjorkgvYd0ubMkciefLZ2Dc/fdRurFy1g2MWXMfjk00M3SRqQRKKS5XPnbB+bvGrhPACatWq9fd3krv0PISdfs/+LiEjjUVlRwdz3/8vkMaNZPvcTcps0ZcDxIxh00mm0aJOaK2uoaK6hVCyaSzZvZsX8qi7W0ZrIm9evA8AyMmjTtfuOArlnH1p37qqJuqTRKivZxpgH7mXeh+8ycMSpHHfx5VrupxHbumkjiz6azPwpH7Lwo8mUbP4My8igY5++caE8lDZdu+tqsoiICLBszsdMHjOaOe+9DUDvw49iyKkj6dD7oJQ6VqporqGGXjSXl5awasH8HVeQ589l/fJl2+8v7NAxaQxyH9p170F2ribqEkmWSFTy5t8f58MX/033Qwdz2rXXk9ukaehmST3wRIJVC+czf8oHLJjyIcs/nQPu5LdoSY+BQ+gxaCjdDxlMXrNmoZsqIiLSYG1as5qpr/yHaa+PpXTLFop69WHIKSPp/aWjU+LinIrmGmrIRXNFWRkPfvNcKsvLgajL4I6JuvrQ/oBe+qAnsh+mv/Eq4/70EIUdOnHW9b/QbMdpqmzbVhZWXU2eOoktG9aDGUU9e9NjYHQ1uf0BvTRERUREZD+VlWxj1oQ3mPzyC6xfvpRmrdswaMRpHDL8JPKaNty6REVzDTXkohlg8pjRtGjbnqKevWnWqnXo5oikvMUzpvHifbdjmZmM/PGNdDqwb+gmSS2aN+k9Xnv4QbZsWE9u06Z0P2QwPQYNpcfAIWm9/qSIiEh98kSCBVMnMWnMaBZPn8ol9/6e1p27hm7WHqlorqGGXjSLSO1bt2wpz935Sz5bs5oRV15D32OPC90kqaHSrVsY/5dHmDlhHG27dmfYxZfRuW9/jV8XERGpYxtXrWjwvfdUNNeQimaRxmnbZ5t44b7bKZ41gyPOPp+jvn5BSk1oITssnDaFV/94P5vXreXwM8/hiLPPJys7O3SzREREpIHYW9Hc8Edki4gEkt+8Bef8/DbG/en3vPvsU6xfVsyIq64lOyc3dNNkH5WVbGPi3x7jo9fGUNixM+ffdjcdeh8YulkiIiKSQlQ0i4jsRWZWNidecTWFHTrx5lOPs2n1KkZedyNNCwpDN02+QPHsGYz9w2/ZuGolQ049k6PP+3864SEiIiL7Td2z94G6Z4sIwNz3/8uYB+8lv3kLzrr+Ztp27R66SbIb5WWlvP30X5k0ZjQt27XnpO9cS+e+/UM3S0RERBqwvXXP1loaIiL7qPfhR3HeL+/EKyt56qbrmD/lg9BNkl0s//QT/nb9NUx66XkOHX4yF931gApmERERqREVzSIi+6H9Ab244Pb7KOzQkefvvI3JL7+AeuyEV1lRzltP/5WnbrqOstISzr7hVoZ/+ypy8vJDN01ERERSnMY0i4jsp+at2nDeL+9kzIP3MP4vD7Nu2VK+esnlWrookFUL5zP2oftYvXghB39lOMMu/jZ5TZuFbpaIiIikCRXNIiLVkJ2Xxxk/vIE3n3qcD154lg0rlnHatderWKtHicpK3h/9DO888xR5zZox8rqb6DX0S6GbJSIiImlGRbOISDVZRgZfHnUphR07Me6Rh3jqpus46/qbKWhfFLppaW9t8RLG/v4+Vsyby4FHHsvx3/oO+c1bhG6WiIiIpCHNnr0PNHu2iHyRJTOn8cK9t2MZGYz88Y10Oqhf6CalpUSiksljXuCtp58gOy+f4d/6DgceeWzoZomIiEiK0+zZIiJ1rMvBh3DBr+4lr1kz/nXbDcx6c3zoJqWdDSuW889bfsaEvz5K90MHc8k9D6lgFhERkTqn7tkiIrWksEMnzv+fe3nxvjt4+cF7Wb+smKO+PgrL0PnJmnB3PnrtZSb87VEyMjI56aof0O/LX8XMQjdNREREGgEVzSIitSi/WXPOvuEWxv3pD7z773+wbvkyTrrqWrJzckM3LSVtWrOKV/54P4unT6XbIYM48YqradGmbehmiYiISCOiollEpJZlZmVz4hXfp1Wnzkx88jE2rV7JmdfdRNOCwtBNSxnuzswJrzP+Lw/jiQTDv/1dDhl+kq4ui4iISL3TRGD7QBOBiUh1zf3gHcY8cA/5zVpw1vW/oG23HqGb1OBt2bCeVx9+gPmT3qdz3/6M+M61mpFcRERE6tTeJgJT0bwPVDSLSE2sXDCP5++6ldKtWzntmp9wwODDQjepwfr4vxN5/dE/UFFayjHnX8zgk0/XmHARERGpc5o9W0QkoPY9ejLqV/fRqmMnnr/rNiaPGY1OWO5s66aNvPibX/PS7+6ioKgDF975O4acOlIFs4iIiASnMc0iIvWgWavWnHvzr3n5ofsY//gjrFtWzHGXXEFmlt6GP/3gXV575EFKNm/mmPMu4rAzziYjMzN0s0REREQAFc0iIvUmOy+P03/wU956+gneH/0M65cvY8ipZ9LpoH7kNmkaunn1rmTLZsb/5WFmTXyDtt16cM7Pb9OYbxEREWlwVDSLiNQjy8jg2AsuobBjZ15/9A8snnELZhm07d6DLv3607nvADr1PZj8Zs1DN7VOLZw6iVf+9362bFjPEV87lyPOPo/MrOzQzRIRERH5HE0Etg80EZiI1IXyslKWz/mE4tnTWTJrOsvnfkJleTmY0bZLNzr3G0Dnfv3p3Lc/TVq0DN3cWlG2bSsT/vZnpo0bS6tOXTj5qh9Q1KtP6GaJiIhII6fZs2tIRbOI1IeKsjJWfDqHJbOnUzxrBsvmfExFWSkArTt3pXPf/nTu158u/Qak5JrPS2ZN55U//JaNq1cx9LSzOPobF5KVkxO6WSIiIiIqmmtKRbOIhFBZUc6KeZ9SPGs6xbNnsPST2ZSXbAOgsEOnqIDu25/O/QbQvHWbwK3ds/KyUt566gkmv/wCBe2KGHHVtXQ+6ODQzRIRERHZTkVzDaloFpGGIFFZycoFn1I8awbFs2dQPHsmZdu2AtCyfRGd+0ZXoTv37U/Ldu0DtzayfO4nvPz737B+WTEDR5zKly+4lOy8vNDNEhEREdmJiuYaUtEsIg1RIlHJ6oULKJ49gyWzZrB09gxKtmwGoHmbttuvQnfu15+C9h0ws3prW0V5Oe8883c+GP0szVq1ZsR3rqHbgIH19u+LiIiI7A8VzTWkollEUoEnEqxZsogls2ZQPHs6xbNnsm3TRiBaJ7pz3/7bx0W36ti5zorolQvmMfb3v2HN4oX0P+4Ehl307Ua5pJaIiIikDhXNNaSiWURSkbuzbumSqIiOx0Vv2bAegCYtC3ZMLNa3P607d8UyMmr071VWVPD+6H/x7rNPk9+8BSdc/n16Djm8Np6KiIiISJ1S0VxDKppFJB24O+uXL4uuQs+awZLZM9i8dg0A+c1b0Omgg6O1ovsNoG3X7vtVRK8tXszLD/2GlfPnctDRX+Grl15BfvMWdfVURERERGqViuYaUtEsIunI3dm4auX2q9BLZs1g0+qVAOQ1bUanvgdvn1ysbfceZGRkfu53JBKVTHppNG//46/k5OUz/NtX0eeIY+r7qYiIiIjUyN6K5qz6boyIiDQMZkZB+yIK2hfR/7gTANi0ehVL4iK6eNYM5n34HgA5+U3odFC/7eOi2x/Qi01rVjH2979l2Sez6HXYEQz/9ndTcv1oERERkb3RleZ9oCvNItJYfbZuTbTEVdyde/2yYgCyc/NwdzKzsvjqpVfQ99jj6nV2bhEREZHapCvNIiJSLc1btaHvMcPoe8wwALZsWL+9K3dleRlHfX0UzVu3CdtIERERkTqkollERPZZ04JCDjzyWA488tjQTRERERGpFzVbX0REREREREQkjaloFhEREREREdkDFc0iIiIiIiIie6CiWURERERERGQPVDSLiIiIiIiI7IGKZhEREREREZE9UNEsIiIiIiIisgcqmkVERERERET2QEWziIiIiIiIyB6oaBYRERERERHZgwZZNJvZMDPz3Wwbdtmv0Mz+ZGZrzGyLmY0zswG7+X15Zna3mS03s21m9o6ZfbnenpCIiIiIiIikpKzQDfgCVwMfJP1cUfWNmRnwItAd+D6wHvgZMN7MBrp7cdLjHgVOBa4D5gPfBV4xsyPdfWpdPgERERERERFJXQ29aJ7t7u/u4b4zgKOBr7r7eAAzewdYAPyEqODGzA4FLgC+6e6PxbdNAGYCt8a/R0RERERERORzGmT37H10BrCsqmAGcPeNRFefR+6yXznwj6T9KoCngRFmlls/zRUREREREZFU09CL5ifNrNLM1prZ382sa9J9BwMzdvOYmUBXM2uWtN8Cd9+6m/1ygF613moRERERERFJCw21e/ZG4F5gArAJGATcALxjZoPcfRXQCli4m8eui78WApvj/dbvZb9WtddsERERERERSScNsmh29ynAlKSbJpjZROB9orHKN9Z1G8zscuBygK5du37B3iIiIiIiIpKOGnr37O3cfTIwBzgsvmk90dXkXbVKun9f9lu3m/tw94fdfai7D23btm31Gi0iIiIiIiIpLWWK5iQef51JNF55V/2Axe6+OWm/HmbWZDf7lQGf1kkrRUREREREJOWlTNFsZkOBA4m6aAO8AHQys68k7dMCOD2+r8qLQDbw9aT9soBzgVfdvbSOmy4iIiIiIiIpqkGOaTazJ4nWW54MbCCaCOxnwFLg/ni3F4B3gL+Z2XVE3bB/BhhwV9XvcvcpZvYP4Ldmlh3/3u8APYBR9fF8REREREREJDU1yKKZaCmp84HvA02AFcC/gZvdfQ2AuyfM7DTgHuD3QB5REX2cuy/Z5fddCvwK+B+gAPgIOCkeJy0iIiIiIiKyW+buX7xXIzd06FD/8MMPQzdDRERERERE6oCZTXL3obu9T0XzFzOz1cCi0O1Ic22ANaEb0Ugp+3CUfVjKPxxlH5byD0fZh6X8w0mF7Lu5+26XTVLRLA2CmX24pzM7UreUfTjKPizlH46yD0v5h6Psw1L+4aR69ikze7aIiIiIiIhIfVPRLCIiIiIiIrIHKpqloXg4dAMaMWUfjrIPS/mHo+zDUv7hKPuwlH84KZ29xjSLiIiIiIiI7IGuNIuIiIiIiIjsgYpmERERERERkT1Q0SwiIiIiIiKyByqaRUTSnJlZ6DaI1Dczy076Xq8BEak3es9JPyqaRaRe6AASVFbVN/p/qD9m1szMvm5mTUK3pbExs2bALDP7HoBr1tPg9N5Tv5R3cDru1rO6PuZmffEuIqnLzJoC3wMOAtYA77r7s0n3mz5M1R0zywV6uftMd3flXX/ig8ZVwACg3Mz+7e5jlH/9MLPmwAJgPPBi4OY0KmbWAvgv0BMYZWbPu3tx4GY1GvF7z4VAb2AxMMPdx+u9p+7pmBuWjrvh1McxV0tOSdqKX0DvA5XANqAl0At4EnjQ3d+L99NBpQ7EV3reIDpZcaO7T45vV951LP7bnwDkAOVAu/j7s919Ysi2NQZx0TYVmAdcuruCTa+DuhFn/xEwHZgM3ACc7O6vm1mGuyeCNjDNxe897wC5gAGtgALgLuAhd18SrnXpTcfcsHTcDae+jrnqni1pycwygT8Bq4Fz3P0w4GTgDuBc4A4zOxnUba8umFkO8DgwBBgO3GhmAyHKW12V6k7cu+L/iD44XeDug4CziU4cDdxlX/0/1LL4g+sk4BPgUmBZfHtWvOWC3nfqQvzBaTLR1YbLgAeAucCtZtZEBXPdMrMs4O/AKuAsd+8FnBTf9hPgdjM7NGAT05aOuWHpuBtOfR5z1T1b0lUOcDDwrLt/DODu88zsj0AP4Dxgm5mtcfcPArYzXZ0PHAb8CPgMeIToWHGLu09Vt7G6EZ8s+i2wBbgGqPrbf9fMFgAlZtaDqJfRfOVfu+KiYTzQHbiy6my3mQ0DziH68LTKzJ5z97+GaWV6irtFfgrMAEa5+8r4w+krwHeAY4FXdLW5TrUgGgr1oLvPAHD3983sLqJeXqOIuqze5O5LdQyoVTrmBqLjbjj1fczVlWZJO2aWAbQBOgCl8W05AHHXsPeABHA80dgTqX1ZRFcbHnP3R4FvAiOBm3X2u+64eyUwB3gLmFN1cDaz9kQfWq8mOhs72cx+XvU4/T/UDnevAF4CNgJXmVlrMxsBjAWOIuqyNwB43MxuCdfStDQIeAK40N2Xw/YrC78CNhCNsUUFc92I30OKgAOIenhhZnkA7j4NeDXe9SLgu/HtKh5qj465gei4G059H3M1plnSlpk9R3Tm9TB3X151ltXMvg2MAF4H7gdOcfdxIduajsws3923mVmWu1eY2UXAX4DRwC3uPjVoA9NUfNIoy93L4p+ziQ7Ym4DfEJ0NPxH4NnCFuz8Sqq3pJPkKppn9FLiO6MrngcA9RB9ml5pZH+By4IfAue7+r1BtTie7/t0n3WbA3URXm0/Xe33dMrO3gebAEHcvN7Mcdy8zs+uJug7PIroad3zVmFupvuSrxzrm1r+kz5U67tYzM8uMT1jU2zFXV5ol7SSdvXuQaBKwCWZ2BNDTzA4H7iU6K/i3+GvnIA1NU0n5l8TfVwK4+xPAJURnv39pZofE+x9gZmeHaGs6cvdE/CG16v/hNKLeFWe6++Pu/gzwP0ST5J0Tj8WSGnL3RPzBCXf/NVGhNoDo6uf97r40vm8O0XwLy4ET4659UkNVf/e7ua0SeBbIJBrrWVVMSy2Lc32M6Jg6wcw6As3j9/obiMYdPk40zrNdsIamkV2u1pfqmFu/qvJPOu5WvbfouFvHqgrm+PtfExXKdXrM1ZhmSXnxmIaW7r52l7smEp3Rvgl4G1hPNIvnk+7+8/ixOUTdZ6Sa4kkW+gN9gJlEkzCsST6YV52Ndfcn4oP6Y4Cb2aNEZ17PMLMid18V4CmkrN1l7+5rYKcPU68AY919W9Xj3H2xmW0BKt19Sz03O23s6W8fooO4ma0CVrn7pnj/jPjD1cdmtgEoSD7wy77b29/+rtz97fi95koz+3P8IUpqYDf5L3f31Wb2d6Ap8ANgCbAU6AQ85e53xo9NEI19Hhui7anOzPKJJjbtRpT9Anefmzz0QMfcurOn/GGn4R867taBL8j+jviYu7KujrkqmiWlWTRr3ovARDN70N1XV3WVibuGvUA0ScBIoiUw1rr7v+PHDiIa7/B+qPanOouWWHiW6MRDd6I8/2Zmt7r7oqr9ksZSmbs/Hn9oeozoyk8FMFQH7/2zH9lv3eVxRrR+ai7REAUtSVIN+5K/u/85af+M+Gq0Af2Irnzqvaca9vVvfxevABcDl8bjCl1/89Wzl/x/5e7zzewPROMMq467i9z9yfixRwAlRMvDyH6Ks/8v0AQoJHof2WpmP3T3p6r20zG3buxH/jru1rK9ZQ/8090rPRrPX7V/rR9z1UVJUlZ8pvtfwFeAa4Fvm1kb2NFVMj7DtNHdn3D3R5IK5iLge0SzbE8J8wxSW9y96G2iSdW+T9Ql70GiWTzPjvfZ/h4Tn/WuOgv7PNHYtjLgGNfYtv2yv9nv0h21DdEMq22Bp0ET8uyvfcw/M2n/zKS//bZEY6uaAs/UY7PTwv7+7Vdx9+eB14gK5xz9zVfPF+R/JoC7l7n7p+5+r7vfnlQwtyUaW1hKNN5T9kPcq+5JYAUw0t1bEc1I/ibwpJndHBcWgI65tW1/89dxt/Z8UfZES6y1SNq/bo657q5NW8ptRJO7/BhYRDT4/49EZ09vANp8wWPPjl9ka4BDQz+XVNyIztjdR7QuYa9d7hsLfLSXx3YiukpRCgwI/VxSbath9hcTnWjS336Y/C8HngPWAgNDP5dU26qbPZAZfz2faIbhzqGfSypuNfzbP59oHpG1eu+pdv6tgNnA93a5vRNwO9FY5l8CGbu5X8fccPnruBsu+1o95upKs6Qkj14NnYgK5d+7+5VE6xLeClxedcV5D0qJliA5xt0/quu2pqn2QF9gMrAAts8WCdGZv3ZmVriXxzYDDnf36XXd0DRUrezN7Bii2TsLgC/rb7/aqpv/IODLRFccjnXNZFsd1cred4xhe43oQ2txPbQ1HdXkfd+AfKK/fb33VE8LovfvqhmDcwE8mvDo1/F2E/HyanG3VNAxt7bsV/7xPsei425tqE72g6nlY66WnJKUZmYt3H2T7Vha5AGiM0u/AB72PUwMY2Z57l5Sj01NK3E3mCuBx919ZfLYHDP7OtEMqQPcfd4eHt/c3T+rvxanj+pmb9Gkd12Ade6+vr7bnS5qkH82UVfWje6+rr7bnQ5q8r5jSUuCSfXUwvt+U9cESDViZuOBFu4+JP45y6O1ajGzDkSz9p9CVCTMTHqcjrm1YH/zj9/3uwDrddytmWpkn0V0zN1UW8dcXWmWlFQ1XrCqYPYdS4t8H3iY6IrzFVVnvc2sp8XLLcSPU8FcAx7NTPibXT84xbYRdePLqbrBzPLNrFPS43XwrqZqZt/Vo3GG83Tgrplq5t/F3cvdfYEK5uqryfuOCuaaq4X3fRXM1ZQ0PvZ3QC8zewjAo/WYs+LvlxOty1wJHJL8OB1za6a6+cfv+/N13K2+GmRf4e4La/OYq6JZUpLvvD5bYpfbqwrnW4iWGBlKdAX6HTNrltRlSWrA3cvjr1VXGqpy3Uo0Oyrx7S2IxsE9ZmZ59d3OdFSN7P9kZnn6268d1cj/UeVfO6r7vqPsa4fe98NI+pwzEfgHcJaZ/Sq+ryKpu+o4ov+Lobs8TmqguvlLzTWk7LXklKSduHC+ysycqJv2ZewYT7I5ZNvSWdJVh1IgG2gWv5ndA1wEHKEr/HVD2Yel/MNR9mEp//oTX91fZ2a3EY3TvDTudn21u5fG+3QmmrNlt13kpfqUfzgNJXsVzZLSdu0itsvPvyOaKbsl8BXXBBi1bjdd9ACcaC3C1kSTM4wCjnRNfFSrlH1Yyj8cZR+W8g/D3T0ex7nEzK4m6k13Sdyb7m6irvHHE02S+mrApqYl5R9OQ8leE4FJg1V1YLY9TOBi0TpslWbWDihy92lJ93Un6ho2AviSu8+ot4aniermb2YDid60VgPdiSZl0JqQ+0HZh6X8w1H2YSn/cCyarLHQ3Vfu4f6q7DsQXfTaCJwOXAv0BrYAy4FvuWZp3m/KP5xUyV5jmqVBsmiB+BfN7EvunrCdF4lPfgH1Bj4CjtplzNrAeDtaBfP+q2b+VfuUEHWH70LUNU8fnPaDsg9L+Yej7MNS/uFYNAZ8FnDSLp9lqu5Pzn4KcIa7b3L3J939MOA44GjgRBVs+0/5h5NS2XsDWLRam7ZdN6KJvBLAXKIDMHx+0fKeRIvFP0M0Df2uv6Nt6OeRqltN8if64HQ30Cf080jFTdkr/8a6KXvl3xg3ojVo5wJvAx12c39Vr9DPZV91nzbln4pbqmWvK83S4MRnrsuIunkVA08nn/m2SAvgOeA14JseLYWR/HjcfXWA5qe8muQfd+nbAPzU3ecEegopS9mHpfzDUfZhKf8w4qv7HwGLgPM8WjpnJ+7uFi2f+bnsPa4epHqUfzipmL3GNEuDZGYnAr8EHgN+AOQTvajeS9rnaGCGu28M0sg0pvzDUfZhKf9wlH1Yyr9+mVkT4APAgKPiEw+Y2UHAgUSzBC9z95fj24cD77pWAakVyj+cVM1eV5qlodoMdCA6u/TT+Od/mNlgADM7HZiiA3edUf7hKPuwlH84yj4s5V+/BgF9iXI+EsDMRgJvAI8DjwAvmdk/43GdVevQSu1Q/uGkZPa60iwNlpn9F7jf3Z82swuBHxMtH7UYaAKc6+7zQ7YxnSn/cJR9WMo/HGUflvKvX2Z2KtFY8jnAW0R5Pwg8T9RVflR823PufmGgZqYt5R9OKmavK83SoMTjpqpmz1sPnAjg7n8DbiM6eB8N/N3d5+9upj2pPuUfjrIPS/mHo+zDUv71z8wyAdz9JeBK4GDgR8AdwE3u/nY8PvwBokLiAjM7JlR7043yDyeVs1fRLMGYWZaZtTWzLvH4hqqB/ZnxLv8AeiYdoM8hWp9tEfBdMztKkzBUn/IPR9mHpfzDUfZhKf9wkrMHcqtud/cXgUuAicB/3L0k3j/T3dcA/4x3bVPPTU4ryj+cdMleRbMEYdGseWOA8UTTzb9sZt8HcPeKeLdlwKFANzN7AjiBaDHznwE5wB/MLF9nvfef8g9H2Yel/MNR9mEp/3D2lj2Au48BLvN4fWszM3evjO/uQdRddVn9tjp9KP9w0in7rNANkMbHzPKJ1mRbA9wLZANnAr8zs0HADe6+gmiMw2yiM1D5wCh3nxD/jnLgI3ffVv/PILUp/3CUfVjKPxxlH5byD2cfsv+5uy939yXx/tnuXh5/3xr4GtGYco0lrwblH07aZe8NYHFrbY1rI+ru9QlwYNJtnYHvA1uIFi9vH9/+GNGZqeFoEXnln+Kbslf+jXVT9sq/sW77mH1RfLsl7fPl+P9iEzAg9PNI1U35K/va2nSlWUIoAFoDJVU3uHuxmT0CrCWaTe9e4EJ3v9TM+gFzPH4lSY0VoPxDKUDZh1SA8g+lAGUfUgHKP5QCvjj7XwOXVOVtZqOA64nGfx7j7tPru9FppADlH0oBaZS9imYJYT3QAigCFplZlrtXuHuJmT1L9CJ70Mymu/ud7j4rZGPTkPIPR9mHpfzDUfZhKf9w9if7e+PHzATuASa4+6IgrU4fyj+ctMpe6zRLvTOzPOD/iNZ8PM7d11o0U15lfH8RcD/QGzjBoxn0pJYo/3CUfVjKPxxlH5byD2c/sz/R3VfHt5uu9Nec8g8n3bLX7NlS7zyaUv5hoBD4XzMrcPdKM8uK719BtOzFoUC7cC1NT8o/HGUflvIPR9mHpfzD2c/s2yY9rsEVDalI+YeTbtmraJZ6ZbZ9mYongKeAI4CHzay171jyAqIJAhYD5fXcxLSm/MNR9mEp/3CUfVjKPxxlH5byDycds9eYZqlX7u5mluHuFWb2c8CAUcCrZnYp0QsnF/gGsJloogCpJco/HGUflvIPR9mHpfzDUfZhKf9w0jF7jWmWerfLeAYDLgO+AxwMFBNNMd+RaFzVR8EamqaUfzjKPizlH46yD0v5h6Psw1L+4aRb9iqapc7FZ5oS8feZ8XiGXsDdwPXuPsfMCoGzgK5Ei6C/5O4LwrU6fSj/cJR9WMo/HGUflvIPR9mHpfzDSffsVTRLrTGzJsDVwADAgQnAn6q6aAC4e8LMegKTgVeAb7r75lBtTifKPxxlH5byD0fZh6X8w1H2YSn/cBpr9iqapVaYWXOiF00GsBHoAeQBD7v7jUn7dSF6AY0DrnD3TfHt26eXT/5e9o3yD0fZh6X8w1H2YSn/cJR9WMo/nMacvWbPlhqzaB22F4kG8Z/j7l8hOvv0IXCBmXVI2r078CeSXkCw8/TyqfQCagiUfzjKPizlH46yD0v5h6Psw1L+4TT67N1dm7YabcC3gGnAUbvcPghIACN3uT0jdJvTaVP+yr6xbspf2TfWTfkr+8a6KX9lH2rTlWapETPLBJoBi4i6YVTdbsAqopnx2ifti8eTBEjNKf9wlH1Yyj8cZR+W8g9H2Yel/MNR9lqnWWrIo5nxxgLPunuJxTPnubub2WqiF1KbePedXjyWNBW9VI/yD0fZh6X8w1H2YSn/cJR9WMo/HGWvMc1SC9z9E2B5/H3yC8WI/sZaxfe5mTUzs2/Hg/9T/gXUECj/cJR9WMo/HGUflvIPR9mHpfzDaezZ60qz7BczywfOIVqYfC3wtrv/Nz4DtesseAlgC5AZP7YlcCfRmIhxwML6bHs6UP7hKPuwlH84yj4s5R+Osg9L+Yej7D9PRbPsM4ummX8VKACaAF2A2Wb2C3d/NvkFFI9xqCAa45BvZlnAb4BzgcPdfWE9Nz/lKf9wlH1Yyj8cZR+W8g9H2Yel/MNR9run7tmyT+IzTuOAz4DziNZlG0L0gvrWrvvHLygjOutUCNwRP+4Yd59SP61OH8o/HGUflvIPR9mHpfzDUfZhKf9wlP1eeAOYwltbw96IXgzXAe8Dh+5y37eIumX0283jMoCx8f0bgCGhn0sqbspf2TfWTfkr+8a6KX9l31g35a/sG+qmK82yL5oA3YC5wCzY3h0DYA7gQItdH+TRJAGzgBXA0e4+qV5am36UfzjKPizlH46yD0v5h6Psw1L+4Sj7vdCYZvlC7r7FzP4DzHL3counmY/vXkg0+L/tHh7+JHCvuy+th6amJeUfjrIPS/mHo+zDUv7hKPuwlH84yn7vdKVZ9om7jwWK4++Tp5kvB7KJp5kHMLMmZnZSvO+kdH4B1RflH46yD0v5h6Psw1L+4Sj7sJR/OMp+z3SlWT7HzJoAFwBdgU+BT9z9PXdP7HLWCaKuGlvjr5hZC+Ae4AQz+5K7r6rn5qc85R+Osg9L+Yej7MNS/uEo+7CUfzjKfv+oaJadxNPMvwvkEr0wOgNrzOyv7n7DLi8giM48bSGaZj4buA8YBRzVGF5AtU35h6Psw1L+4Sj7sJR/OMo+LOUfjrLff+qeLduZWSbwKLAcOMndewNHAy8BPzWzJ8wsJ963amKABJADdAJ+TXTG6ihPt2nm64HyD0fZh6X8w1H2YSn/cJR9WMo/HGVfTd4ApvDW1jA2orEKU4Cbd7m9PfBDom4Zf0263YCWwEygjGhh87ScZl75p/em7JV/Y92UvfJvrJuyV/6NdVP21dvUPVsAMLMMokXJOwIl8W057l7m7ivN7M9EZ5nuM7MV7n6du7uZJYA1RC+0Ye4+I9RzSGXKPxxlH5byD0fZh6X8w1H2YSn/cJR9DYSu2rWF34CMpO8fB5YBneKfM5Puawf8jqg7x3FJt38NOCD080jVTfkr+8a6KX9l31g35a/sG+um/JV9qm4a09yImVlGPFahKOnmp4BK4C4za+vulfHYBzwa6P9nIA84pOoB7v5vd59fj01PC8o/HGUflvIPR9mHpfzDUfZhKf9wlH3tUNHcSJlZM+BBopnzZpnZo2Z2kEfrs/0TGA7clPRCygFw94+AucDgUG1PB8o/HGUflvIPR9mHpfzDUfZhKf9wlH3t0ZjmRih+Ab0PrALeA94ErgA6m9lJ7v4jM2sLnAe0NLOfufuy+LFtgUxgTpjWpz7lH46yD0v5h6Psw1L+4Sj7sJR/OMq+dplHfdSlkYjPIP0DaAZc5u4L49vPAp6Jb/tzfNv9wFlABXAr0Vpuh8W3HeHueiHtJ+UfjrIPS/mHo+zDUv7hKPuwlH84yr726Upz4zMM6ArcCSyG7WuwfQAsBfpV7ejuV5vZW8A3gAeIZs1bSjQpgF5A1TMM5R/KMJR9SMNQ/qEMQ9mHNAzlH8owlH1Iw1D+oQxD2dcqXWluZMzsQOCPwBnu/pmZmcd/BGY2Htjs7qdbPP180uN6AWuBhLtvDNL4NKD8w1H2YSn/cJR9WMo/HGUflvIPR9nXPhXNjZCZNXH3rWaW4e6JpK8vEk1Hf2rSvlnuXhGwuWlH+Yej7MNS/uEo+7CUfzjKPizlH46yr12aPbsRcvet8ddEfFPV38E2ILtqP4smELjWzEbWbwvTm/IPR9mHpfzDUfZhKf9wlH1Yyj8cZV+7NKZZSDqzVAK0MLMsIB+4D7gU6BuqbY2B8g9H2Yel/MNR9mEp/3CUfVjKPxxlXzO60ixVEwMAlBGdSGkG3EM0Bf3h7j43VNsaA+UfjrIPS/mHo+zDUv7hKPuwlH84yr5mdKVZAAxwojNPCeC3RDPoHe3uUwK2q7FQ/uEo+7CUfzjKPizlH46yD0v5h6Psa0BFsySPdVgLDAV6oxdQvVH+4Sj7sJR/OMo+LOUfjrIPS/mHo+xrRt2zJdlzwGrgKL2AglD+4Sj7sJR/OMo+LOUfjrIPS/mHo+yrQUtOyU7MLN/dt4VuR2Ol/MNR9mEp/3CUfVjKPxxlH5byD0fZ7z8VzSIiIiIiIiJ7oO7ZIiIiIiIiInugollERERERERkD1Q0i4iIiIiIiOyBimYRERERERGRPVDRLCIiIiIiIrIHKppFRERERERE9kBFs4iIiIiIiMge/H/LTU3OKEOdSAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "plt.figure(figsize=(16,10))\n",
    "ax = sns.lineplot(x='pools_crvRewards_timestamp', \n",
    "                  y='pools_crvRewards_crvRewards', \n",
    "                  data=pool_rewards_df,\n",
    "                  hue='pools_crvRewards_poolid_name', ci=None)\n",
    "\n",
    "plt.legend(fontsize=12, frameon=False, loc='upper center') \n",
    "ax.yaxis.set_major_formatter(ticker.EngFormatter())\n",
    "plt.ylabel(\"Pool's reward in CRV\", fontsize=16)\n",
    "plt.xlabel('', fontsize=16)\n",
    "plt.title(\"Top Convex LP Pools' CRV rewards over time\" , fontsize=18)\n",
    "plt.xticks(fontsize=16, rotation=45)\n",
    "plt.yticks(fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d845bb4c",
   "metadata": {},
   "source": [
    "**Collapse pool_rewards_df to 1 row per pool, taking the average crvRewards**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "79671ad5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pools_crvRewards_poolid_name</th>\n",
       "      <th>pools_crvRewards_poolid_tvl</th>\n",
       "      <th>pools_crvRewards_crvRewards</th>\n",
       "      <th>pools_crvRewards_poolid_lpToken</th>\n",
       "      <th>pools_crvRewards_contract</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>steth</td>\n",
       "      <td>2,643,743,386</td>\n",
       "      <td>2,041</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "      <td>0x0a760466e1b4621579a82a39cb56dda2f4e70f03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>frax</td>\n",
       "      <td>2,745,123,092</td>\n",
       "      <td>1,886</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "      <td>0xb900ef131301b307db5efcbed9dbb50a3e209b2e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool</td>\n",
       "      <td>1,196,418,372</td>\n",
       "      <td>1,512</td>\n",
       "      <td>0xceaf7747579696a2f0bb206a14210e3c9e6fb269</td>\n",
       "      <td>0x7e2b9b5244bcfa5108a76d5e7b507cfd5581ad4a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>876,645,399</td>\n",
       "      <td>1,428</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>0xfd5abf66b003881b88567eb9ed9c651f14dc4771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tricrypto2</td>\n",
       "      <td>867,290,913</td>\n",
       "      <td>1,420</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "      <td>0x9d5c5e364d81dab193b72db9e9be9d8ee669b652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3pool</td>\n",
       "      <td>725,147,324</td>\n",
       "      <td>955</td>\n",
       "      <td>0x6c3f90f043a72fa612cbac8115ee7e52bde6e490</td>\n",
       "      <td>0x689440f2ff927e1f24c72f1087e1faf471ece1c8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                pools_crvRewards_poolid_name  \\\n",
       "4                                                      steth   \n",
       "3                                                       frax   \n",
       "2       Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool   \n",
       "1  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   \n",
       "5                                                 tricrypto2   \n",
       "0                                                      3pool   \n",
       "\n",
       "   pools_crvRewards_poolid_tvl  pools_crvRewards_crvRewards  \\\n",
       "4                2,643,743,386                        2,041   \n",
       "3                2,745,123,092                        1,886   \n",
       "2                1,196,418,372                        1,512   \n",
       "1                  876,645,399                        1,428   \n",
       "5                  867,290,913                        1,420   \n",
       "0                  725,147,324                          955   \n",
       "\n",
       "              pools_crvRewards_poolid_lpToken  \\\n",
       "4  0x06325440d014e39736583c165c2963ba99faf14e   \n",
       "3  0xd632f22692fac7611d2aa1c0d552930d43caed3b   \n",
       "2  0xceaf7747579696a2f0bb206a14210e3c9e6fb269   \n",
       "1  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "5  0xc4ad29ba4b3c580e6d59105fff484999997675ff   \n",
       "0  0x6c3f90f043a72fa612cbac8115ee7e52bde6e490   \n",
       "\n",
       "                    pools_crvRewards_contract  \n",
       "4  0x0a760466e1b4621579a82a39cb56dda2f4e70f03  \n",
       "3  0xb900ef131301b307db5efcbed9dbb50a3e209b2e  \n",
       "2  0x7e2b9b5244bcfa5108a76d5e7b507cfd5581ad4a  \n",
       "1  0xfd5abf66b003881b88567eb9ed9c651f14dc4771  \n",
       "5  0x9d5c5e364d81dab193b72db9e9be9d8ee669b652  \n",
       "0  0x689440f2ff927e1f24c72f1087e1faf471ece1c8  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pool_rewards_df_collapsed=pool_rewards_df.groupby(['pools_crvRewards_poolid_name', 'pools_crvRewards_poolid_tvl', 'pools_crvRewards_poolid_lpToken',\n",
    "                         'pools_crvRewards_contract'])['pools_crvRewards_crvRewards'].mean().reset_index()\n",
    "pool_rewards_df_collapsed=pool_rewards_df_collapsed[['pools_crvRewards_poolid_name', 'pools_crvRewards_poolid_tvl', \n",
    "                                                     'pools_crvRewards_crvRewards', 'pools_crvRewards_poolid_lpToken',\n",
    "                                                     'pools_crvRewards_contract']].sort_values('pools_crvRewards_crvRewards', ascending=False)\n",
    "print(pool_rewards_df_collapsed.shape)\n",
    "pool_rewards_df_collapsed"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "006081b3",
   "metadata": {},
   "source": [
    "### Convex's revenue as a platform on Curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c47bea55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(52, 14)\n"
     ]
    }
   ],
   "source": [
    "# get the data  \n",
    "revenue_q = curve_pools_sg.Query.revenueWeeklySnapshots()\n",
    "revenue_df=sg.query_df([\n",
    "    \n",
    "      revenue_q.timestamp\n",
    "    , revenue_q.crvPrice\n",
    "    \n",
    "    , revenue_q.totalCrvRevenue\n",
    "    , revenue_q.crvRevenueToLpProvidersAmount\n",
    "    , revenue_q.crvRevenueToCvxCrvStakersAmount\n",
    "    , revenue_q.crvRevenueToCvxStakersAmount\n",
    "    , revenue_q.crvRevenueToCallersAmount\n",
    "    , revenue_q.crvRevenueToPlatformAmount\n",
    "    \n",
    "    , revenue_q.totalCrvRevenueCumulative\n",
    "    , revenue_q.crvRevenueToLpProvidersAmountCumulative\n",
    "    , revenue_q.crvRevenueToCvxCrvStakersAmountCumulative\n",
    "    , revenue_q.crvRevenueToCvxStakersAmountCumulative\n",
    "    , revenue_q.crvRevenueToCallersAmountCumulative\n",
    "    , revenue_q.crvRevenueToPlatformAmountCumulative])\n",
    "\n",
    "revenue_df['revenueWeeklySnapshots_timestamp'] = pd.to_datetime(revenue_df['revenueWeeklySnapshots_timestamp'], unit='s').dt.floor('D')\n",
    "\n",
    "print(revenue_df.shape)\n",
    "# revenue_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e660c0bb",
   "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>revenueWeeklySnapshots_timestamp</th>\n",
       "      <th>revenueWeeklySnapshots_crvPrice</th>\n",
       "      <th>revenueWeeklySnapshots_totalCrvRevenue</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToLpProvidersAmount</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToCvxCrvStakersAmount</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToCvxStakersAmount</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToCallersAmount</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToPlatformAmount</th>\n",
       "      <th>revenueWeeklySnapshots_totalCrvRevenueCumulative</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToLpProvidersAmountCumulative</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToCvxCrvStakersAmountCumulative</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToCvxStakersAmountCumulative</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToCallersAmountCumulative</th>\n",
       "      <th>revenueWeeklySnapshots_crvRevenueToPlatformAmountCumulative</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-05-18</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-05-20</td>\n",
       "      <td>2</td>\n",
       "      <td>18,023</td>\n",
       "      <td>15,320</td>\n",
       "      <td>1,802</td>\n",
       "      <td>811</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "      <td>18,023</td>\n",
       "      <td>15,320</td>\n",
       "      <td>1,802</td>\n",
       "      <td>811</td>\n",
       "      <td>90</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-05-27</td>\n",
       "      <td>2</td>\n",
       "      <td>556,114</td>\n",
       "      <td>467,136</td>\n",
       "      <td>55,611</td>\n",
       "      <td>27,806</td>\n",
       "      <td>5,561</td>\n",
       "      <td>0</td>\n",
       "      <td>574,137</td>\n",
       "      <td>482,455</td>\n",
       "      <td>57,414</td>\n",
       "      <td>28,617</td>\n",
       "      <td>5,651</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-06-03</td>\n",
       "      <td>2</td>\n",
       "      <td>1,280,946</td>\n",
       "      <td>1,075,994</td>\n",
       "      <td>128,095</td>\n",
       "      <td>64,047</td>\n",
       "      <td>12,809</td>\n",
       "      <td>0</td>\n",
       "      <td>1,855,083</td>\n",
       "      <td>1,558,450</td>\n",
       "      <td>185,508</td>\n",
       "      <td>92,664</td>\n",
       "      <td>18,461</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-06-10</td>\n",
       "      <td>2</td>\n",
       "      <td>2,637,971</td>\n",
       "      <td>2,215,896</td>\n",
       "      <td>263,797</td>\n",
       "      <td>131,899</td>\n",
       "      <td>26,380</td>\n",
       "      <td>0</td>\n",
       "      <td>4,493,054</td>\n",
       "      <td>3,774,346</td>\n",
       "      <td>449,305</td>\n",
       "      <td>224,563</td>\n",
       "      <td>44,840</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  revenueWeeklySnapshots_timestamp  revenueWeeklySnapshots_crvPrice  \\\n",
       "0                       2021-05-18                                3   \n",
       "1                       2021-05-20                                2   \n",
       "2                       2021-05-27                                2   \n",
       "3                       2021-06-03                                2   \n",
       "4                       2021-06-10                                2   \n",
       "\n",
       "  revenueWeeklySnapshots_totalCrvRevenue  \\\n",
       "0                                      0   \n",
       "1                                 18,023   \n",
       "2                                556,114   \n",
       "3                              1,280,946   \n",
       "4                              2,637,971   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToLpProvidersAmount  \\\n",
       "0                                                    0   \n",
       "1                                               15,320   \n",
       "2                                              467,136   \n",
       "3                                            1,075,994   \n",
       "4                                            2,215,896   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToCvxCrvStakersAmount  \\\n",
       "0                                                      0   \n",
       "1                                                  1,802   \n",
       "2                                                 55,611   \n",
       "3                                                128,095   \n",
       "4                                                263,797   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToCvxStakersAmount  \\\n",
       "0                                                   0   \n",
       "1                                                 811   \n",
       "2                                              27,806   \n",
       "3                                              64,047   \n",
       "4                                             131,899   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToCallersAmount  \\\n",
       "0                                                0   \n",
       "1                                               90   \n",
       "2                                            5,561   \n",
       "3                                           12,809   \n",
       "4                                           26,380   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToPlatformAmount  \\\n",
       "0                                                 0   \n",
       "1                                                 0   \n",
       "2                                                 0   \n",
       "3                                                 0   \n",
       "4                                                 0   \n",
       "\n",
       "  revenueWeeklySnapshots_totalCrvRevenueCumulative  \\\n",
       "0                                                0   \n",
       "1                                           18,023   \n",
       "2                                          574,137   \n",
       "3                                        1,855,083   \n",
       "4                                        4,493,054   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToLpProvidersAmountCumulative  \\\n",
       "0                                                              0   \n",
       "1                                                         15,320   \n",
       "2                                                        482,455   \n",
       "3                                                      1,558,450   \n",
       "4                                                      3,774,346   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToCvxCrvStakersAmountCumulative  \\\n",
       "0                                                                0   \n",
       "1                                                            1,802   \n",
       "2                                                           57,414   \n",
       "3                                                          185,508   \n",
       "4                                                          449,305   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToCvxStakersAmountCumulative  \\\n",
       "0                                                             0   \n",
       "1                                                           811   \n",
       "2                                                        28,617   \n",
       "3                                                        92,664   \n",
       "4                                                       224,563   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToCallersAmountCumulative  \\\n",
       "0                                                          0   \n",
       "1                                                         90   \n",
       "2                                                      5,651   \n",
       "3                                                     18,461   \n",
       "4                                                     44,840   \n",
       "\n",
       "  revenueWeeklySnapshots_crvRevenueToPlatformAmountCumulative  \n",
       "0                                                           0  \n",
       "1                                                           0  \n",
       "2                                                           0  \n",
       "3                                                           0  \n",
       "4                                                           0  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "revenue_df.iloc[:, 2:]=revenue_df.iloc[:, 2:].div(10**18, axis=0)\n",
    "revenue_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0be9cb44",
   "metadata": {},
   "outputs": [],
   "source": [
    "revenue_df.rename({'revenueWeeklySnapshots_totalCrvRevenue':'totalCrvRevenue',\n",
    "       'revenueWeeklySnapshots_crvRevenueToLpProvidersAmount':'crvRevenueToLpProvidersAmount',\n",
    "       'revenueWeeklySnapshots_crvRevenueToCvxCrvStakersAmount':'crvRevenueToCvxCrvStakersAmount',\n",
    "       'revenueWeeklySnapshots_crvRevenueToCvxStakersAmount': 'crvRevenueToCvxStakersAmount',\n",
    "       'revenueWeeklySnapshots_crvRevenueToCallersAmount':'crvRevenueToCallersAmount',\n",
    "       'revenueWeeklySnapshots_crvRevenueToPlatformAmount':'crvRevenueToPlatformAmount',\n",
    "                   \n",
    "       'revenueWeeklySnapshots_crvRevenueToLpProvidersAmountCumulative':'crvRevenueToLpProvidersAmountCumulative',\n",
    "       'revenueWeeklySnapshots_crvRevenueToCvxCrvStakersAmountCumulative':'crvRevenueToCvxCrvStakersAmountCumulative',\n",
    "       'revenueWeeklySnapshots_crvRevenueToCvxStakersAmountCumulative':'crvRevenueToCvxStakersAmountCumulative',\n",
    "       'revenueWeeklySnapshots_crvRevenueToCallersAmountCumulative':'crvRevenueToCallersAmountCumulative',\n",
    "       'revenueWeeklySnapshots_crvRevenueToPlatformAmountCumulative':'crvRevenueToPlatformAmountCumulative',\n",
    "       'revenueWeeklySnapshots_totalCrvRevenueCumulative':'totalCrvRevenueCumulative'},axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "de825295",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot WEEKLY revenue\n",
    "\n",
    "import matplotlib.ticker as ticker\n",
    "\n",
    "columns_plot = ['totalCrvRevenue', 'crvRevenueToLpProvidersAmount',\n",
    "       'crvRevenueToCvxCrvStakersAmount', 'crvRevenueToCvxStakersAmount',\n",
    "       'crvRevenueToCallersAmount', 'crvRevenueToPlatformAmount']\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "for each in columns_plot:\n",
    "    sns.lineplot(data = revenue_df, x = 'revenueWeeklySnapshots_timestamp', y = each, label = str(each))\n",
    "\n",
    "ax.legend(fontsize=12, frameon=False, loc='upper center') \n",
    "ax.yaxis.set_major_formatter(ticker.EngFormatter())\n",
    "plt.ylabel(\"weekly values in CRV\", fontsize=12)\n",
    "plt.xlabel('', fontsize=12)\n",
    "plt.title(\"Convex' weekly CRV revenue on curve\" , fontsize=16)\n",
    "plt.xticks(fontsize=12, rotation=45)\n",
    "plt.yticks(fontsize=12)    \n",
    "plt.legend()\n",
    "plt.show()    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3bc84086",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "columns_plot = ['totalCrvRevenueCumulative', 'crvRevenueToLpProvidersAmountCumulative',\n",
    "       'crvRevenueToCvxCrvStakersAmountCumulative', 'crvRevenueToCvxStakersAmountCumulative',\n",
    "       'crvRevenueToCallersAmountCumulative', 'crvRevenueToPlatformAmountCumulative']\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(12, 6))\n",
    "\n",
    "for each in columns_plot:\n",
    "    sns.lineplot(data = revenue_df, x = 'revenueWeeklySnapshots_timestamp', y = each, label = str(each))\n",
    "\n",
    "plt.legend(fontsize=12, frameon=False, loc='upper center') \n",
    "ax.yaxis.set_major_formatter(ticker.EngFormatter())\n",
    "\n",
    "plt.ylabel(\"cumulative values\", fontsize=12)\n",
    "plt.xlabel('', fontsize=12)\n",
    "plt.title(\"Convex' cumulative CRV revenue on curve\" , fontsize=16)\n",
    "plt.xticks(fontsize=12, rotation=45)\n",
    "plt.yticks(fontsize=12)    \n",
    "plt.legend()\n",
    "plt.show()    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4638d04",
   "metadata": {},
   "source": [
    "### III Get CRV emissions and gauge weight data\n",
    "This subgraph indexes emissions of CRV to pools with gauges as well as estimates of the fees generated by these pools, according to its [creator](https://github.com/convex-community/convex-subgraph)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "91c1f68f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pools_name</th>\n",
       "      <th>pools_tvl</th>\n",
       "      <th>pools_id</th>\n",
       "      <th>pools_assetType</th>\n",
       "      <th>pools_lpToken</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>steth</td>\n",
       "      <td>4,821,665,767</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "      <td>1</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3pool</td>\n",
       "      <td>3,194,271,586</td>\n",
       "      <td>0x6c3f90f043a72fa612cbac8115ee7e52bde6e490</td>\n",
       "      <td>0</td>\n",
       "      <td>0x6c3f90f043a72fa612cbac8115ee7e52bde6e490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>frax</td>\n",
       "      <td>2,747,064,810</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "      <td>0</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool</td>\n",
       "      <td>1,251,195,151</td>\n",
       "      <td>0xceaf7747579696a2f0bb206a14210e3c9e6fb269</td>\n",
       "      <td>0</td>\n",
       "      <td>0xceaf7747579696a2f0bb206a14210e3c9e6fb269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tricrypto2</td>\n",
       "      <td>888,439,770</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "      <td>0</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>869,407,023</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>0</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  pools_name     pools_tvl  \\\n",
       "0                                                      steth 4,821,665,767   \n",
       "1                                                      3pool 3,194,271,586   \n",
       "2                                                       frax 2,747,064,810   \n",
       "3       Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool 1,251,195,151   \n",
       "4                                                 tricrypto2   888,439,770   \n",
       "5  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   869,407,023   \n",
       "\n",
       "                                     pools_id  pools_assetType  \\\n",
       "0  0x06325440d014e39736583c165c2963ba99faf14e                1   \n",
       "1  0x6c3f90f043a72fa612cbac8115ee7e52bde6e490                0   \n",
       "2  0xd632f22692fac7611d2aa1c0d552930d43caed3b                0   \n",
       "3  0xceaf7747579696a2f0bb206a14210e3c9e6fb269                0   \n",
       "4  0xc4ad29ba4b3c580e6d59105fff484999997675ff                0   \n",
       "5  0x5a6a4d54456819380173272a5e8e9b9904bdf41b                0   \n",
       "\n",
       "                                pools_lpToken  \n",
       "0  0x06325440d014e39736583c165c2963ba99faf14e  \n",
       "1  0x6c3f90f043a72fa612cbac8115ee7e52bde6e490  \n",
       "2  0xd632f22692fac7611d2aa1c0d552930d43caed3b  \n",
       "3  0xceaf7747579696a2f0bb206a14210e3c9e6fb269  \n",
       "4  0xc4ad29ba4b3c580e6d59105fff484999997675ff  \n",
       "5  0x5a6a4d54456819380173272a5e8e9b9904bdf41b  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "emissions_sg = sg.load_subgraph('https://api.thegraph.com/subgraphs/name/convex-community/crv-emissions')\n",
    "\n",
    "top_pools_tvl_q = emissions_sg.Query.pools(\n",
    "    orderBy=emissions_sg.Pool.tvl,\n",
    "    orderDirection='desc',\n",
    "    first=6\n",
    "    )\n",
    "\n",
    "top_pools_tvl_emissions_df=sg.query_df([\n",
    "      top_pools_tvl_q.name\n",
    "    , top_pools_tvl_q.tvl\n",
    "    , top_pools_tvl_q.id\n",
    "    , top_pools_tvl_q.assetType\n",
    "    , top_pools_tvl_q.lpToken\n",
    "])\n",
    "\n",
    "print(top_pools_tvl_emissions_df.shape)\n",
    "top_pools_tvl_emissions_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14496b38",
   "metadata": {},
   "source": [
    "**1. Emissions** are represented by CRV released to the gauges daily out of total around 633k. The higher the emissions are, the more liquidity will be provided to the pool. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0dafbaeb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(246, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pools_emissions_pool_name</th>\n",
       "      <th>pools_emissions_crvAmount</th>\n",
       "      <th>pools_emissions_value</th>\n",
       "      <th>pools_emissions_timestamp</th>\n",
       "      <th>pools_emissions_id</th>\n",
       "      <th>pools_emissions_pool_id</th>\n",
       "      <th>pools_emissions_pool_lpToken</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>steth</td>\n",
       "      <td>234,636</td>\n",
       "      <td>575,242</td>\n",
       "      <td>2022-04-07</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28-1649289600</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>steth</td>\n",
       "      <td>233,638</td>\n",
       "      <td>535,073</td>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28-1649894400</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>steth</td>\n",
       "      <td>184,582</td>\n",
       "      <td>477,721</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28-1651708800</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>steth</td>\n",
       "      <td>170,687</td>\n",
       "      <td>409,145</td>\n",
       "      <td>2022-03-24</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28-1648080000</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>steth</td>\n",
       "      <td>170,453</td>\n",
       "      <td>496,387</td>\n",
       "      <td>2022-03-31</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28-1648684800</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  pools_emissions_pool_name  pools_emissions_crvAmount  pools_emissions_value  \\\n",
       "0                     steth                    234,636                575,242   \n",
       "1                     steth                    233,638                535,073   \n",
       "2                     steth                    184,582                477,721   \n",
       "3                     steth                    170,687                409,145   \n",
       "4                     steth                    170,453                496,387   \n",
       "\n",
       "  pools_emissions_timestamp  \\\n",
       "0                2022-04-07   \n",
       "1                2022-04-14   \n",
       "2                2022-05-05   \n",
       "3                2022-03-24   \n",
       "4                2022-03-31   \n",
       "\n",
       "                                      pools_emissions_id  \\\n",
       "0  0x182b723a58739a9c974cfdb385ceadb237453c28-1649289600   \n",
       "1  0x182b723a58739a9c974cfdb385ceadb237453c28-1649894400   \n",
       "2  0x182b723a58739a9c974cfdb385ceadb237453c28-1651708800   \n",
       "3  0x182b723a58739a9c974cfdb385ceadb237453c28-1648080000   \n",
       "4  0x182b723a58739a9c974cfdb385ceadb237453c28-1648684800   \n",
       "\n",
       "                      pools_emissions_pool_id  \\\n",
       "0  0x06325440d014e39736583c165c2963ba99faf14e   \n",
       "1  0x06325440d014e39736583c165c2963ba99faf14e   \n",
       "2  0x06325440d014e39736583c165c2963ba99faf14e   \n",
       "3  0x06325440d014e39736583c165c2963ba99faf14e   \n",
       "4  0x06325440d014e39736583c165c2963ba99faf14e   \n",
       "\n",
       "                 pools_emissions_pool_lpToken  \n",
       "0  0x06325440d014e39736583c165c2963ba99faf14e  \n",
       "1  0x06325440d014e39736583c165c2963ba99faf14e  \n",
       "2  0x06325440d014e39736583c165c2963ba99faf14e  \n",
       "3  0x06325440d014e39736583c165c2963ba99faf14e  \n",
       "4  0x06325440d014e39736583c165c2963ba99faf14e  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pool_emissions_q = top_pools_tvl_q.emissions(\n",
    "    orderBy=emissions_sg.Emission.crvAmount,\n",
    "    orderDirection='desc',\n",
    "    first=1000)\n",
    "\n",
    "pool_emissions_df=sg.query_df([\n",
    "      pool_emissions_q.pool.name \n",
    "    , pool_emissions_q.crvAmount \n",
    "    , pool_emissions_q.value\n",
    "    , pool_emissions_q.timestamp\n",
    "    , pool_emissions_q.id\n",
    "    , pool_emissions_q.pool.id\n",
    "    , pool_emissions_q.pool.lpToken])\n",
    "\n",
    "# # changing the data format\n",
    "pool_emissions_df['pools_emissions_timestamp'] = pd.to_datetime(pool_emissions_df['pools_emissions_timestamp'], unit='s').dt.floor('D')\n",
    "\n",
    "print(pool_emissions_df.shape)\n",
    "pool_emissions_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9e820e66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,10))\n",
    "ax = sns.lineplot(x='pools_emissions_timestamp', \n",
    "                  y='pools_emissions_crvAmount', \n",
    "                  data=pool_emissions_df,\n",
    "                  hue='pools_emissions_pool_name', ci=None)\n",
    "\n",
    "ax.yaxis.set_major_formatter(ticker.EngFormatter())\n",
    "plt.legend(fontsize=12, frameon=False, loc='upper left') \n",
    "plt.ylabel(\"Pool's emissions, CRV\", fontsize=16)\n",
    "plt.xlabel('', fontsize=16)\n",
    "plt.title(\"Top Pools' CRV Emissions Over Time\" , fontsize=18)\n",
    "plt.xticks(fontsize=16, rotation=45)\n",
    "plt.yticks(fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b93411db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pools_emissions_pool_name</th>\n",
       "      <th>pools_emissions_crvAmount</th>\n",
       "      <th>pools_emissions_value</th>\n",
       "      <th>pools_emissions_timestamp</th>\n",
       "      <th>pools_emissions_id</th>\n",
       "      <th>pools_emissions_pool_id</th>\n",
       "      <th>pools_emissions_pool_lpToken</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>frax</td>\n",
       "      <td>744,353</td>\n",
       "      <td>1,926,475</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0x72e158d38dbd50a483501c24f792bdaaa3e7d55c-1651708800</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool</td>\n",
       "      <td>669,448</td>\n",
       "      <td>1,732,612</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b-1651708800</td>\n",
       "      <td>0xceaf7747579696a2f0bb206a14210e3c9e6fb269</td>\n",
       "      <td>0xceaf7747579696a2f0bb206a14210e3c9e6fb269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>tricrypto2</td>\n",
       "      <td>348,881</td>\n",
       "      <td>902,947</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>319,349</td>\n",
       "      <td>826,514</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf-1651708800</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>steth</td>\n",
       "      <td>184,582</td>\n",
       "      <td>477,721</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28-1651708800</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     pools_emissions_pool_name  \\\n",
       "108                                                       frax   \n",
       "138       Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool   \n",
       "197                                                 tricrypto2   \n",
       "242  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   \n",
       "2                                                        steth   \n",
       "\n",
       "     pools_emissions_crvAmount  pools_emissions_value  \\\n",
       "108                    744,353              1,926,475   \n",
       "138                    669,448              1,732,612   \n",
       "197                    348,881                902,947   \n",
       "242                    319,349                826,514   \n",
       "2                      184,582                477,721   \n",
       "\n",
       "    pools_emissions_timestamp  \\\n",
       "108                2022-05-05   \n",
       "138                2022-05-05   \n",
       "197                2022-05-05   \n",
       "242                2022-05-05   \n",
       "2                  2022-05-05   \n",
       "\n",
       "                                        pools_emissions_id  \\\n",
       "108  0x72e158d38dbd50a483501c24f792bdaaa3e7d55c-1651708800   \n",
       "138  0xb0f5d00e5916c8b8981e99191a1458704b587b2b-1651708800   \n",
       "197  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800   \n",
       "242  0xd8b712d29381748db89c36bca0138d7c75866ddf-1651708800   \n",
       "2    0x182b723a58739a9c974cfdb385ceadb237453c28-1651708800   \n",
       "\n",
       "                        pools_emissions_pool_id  \\\n",
       "108  0xd632f22692fac7611d2aa1c0d552930d43caed3b   \n",
       "138  0xceaf7747579696a2f0bb206a14210e3c9e6fb269   \n",
       "197  0xc4ad29ba4b3c580e6d59105fff484999997675ff   \n",
       "242  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "2    0x06325440d014e39736583c165c2963ba99faf14e   \n",
       "\n",
       "                   pools_emissions_pool_lpToken  \n",
       "108  0xd632f22692fac7611d2aa1c0d552930d43caed3b  \n",
       "138  0xceaf7747579696a2f0bb206a14210e3c9e6fb269  \n",
       "197  0xc4ad29ba4b3c580e6d59105fff484999997675ff  \n",
       "242  0x5a6a4d54456819380173272a5e8e9b9904bdf41b  \n",
       "2    0x06325440d014e39736583c165c2963ba99faf14e  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#take the latest gauge weight per pool\n",
    "pool_emissions_collapsed=pool_emissions_df.loc[pool_emissions_df.reset_index().groupby(['pools_emissions_pool_name'])['pools_emissions_timestamp'].idxmax()].sort_values('pools_emissions_crvAmount', ascending=False)\n",
    "print(pool_emissions_collapsed.shape)\n",
    "pool_emissions_collapsed.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4a05a33",
   "metadata": {},
   "source": [
    "**2. Gauges**\n",
    "A gauge weight represents how much of the daily CRV inflation it receives. Anybody who has vote locked CRV can vote to direct its voting power towards one or multiple Curve pools."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "dbcbcae9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(318, 8)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pools_gauges_pool_name</th>\n",
       "      <th>pools_gauges_weights_weight</th>\n",
       "      <th>pools_gauges_weights_timestamp</th>\n",
       "      <th>pools_gauges_id</th>\n",
       "      <th>pools_gauges_created</th>\n",
       "      <th>pools_gauges_address</th>\n",
       "      <th>pools_gauges_weights_id</th>\n",
       "      <th>pools_gauges_pool_lpToken</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>28,304,595</td>\n",
       "      <td>2022-05-12</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>1628711942</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf-1652313600</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool</td>\n",
       "      <td>59,693,276</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b</td>\n",
       "      <td>1635753846</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b-1651708800</td>\n",
       "      <td>0xceaf7747579696a2f0bb206a14210e3c9e6fb269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>28,475,678</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>1628711942</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf-1651708800</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>3pool</td>\n",
       "      <td>3,169,330</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a</td>\n",
       "      <td>1600032637</td>\n",
       "      <td>0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a</td>\n",
       "      <td>0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a-1651708800</td>\n",
       "      <td>0x6c3f90f043a72fa612cbac8115ee7e52bde6e490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>tricrypto2</td>\n",
       "      <td>31,109,015</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168</td>\n",
       "      <td>1626881865</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        pools_gauges_pool_name  \\\n",
       "317  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   \n",
       "235       Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool   \n",
       "316  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   \n",
       "154                                                      3pool   \n",
       "277                                                 tricrypto2   \n",
       "\n",
       "     pools_gauges_weights_weight pools_gauges_weights_timestamp  \\\n",
       "317                   28,304,595                     2022-05-12   \n",
       "235                   59,693,276                     2022-05-05   \n",
       "316                   28,475,678                     2022-05-05   \n",
       "154                    3,169,330                     2022-05-05   \n",
       "277                   31,109,015                     2022-05-05   \n",
       "\n",
       "                                pools_gauges_id  pools_gauges_created  \\\n",
       "317  0xd8b712d29381748db89c36bca0138d7c75866ddf            1628711942   \n",
       "235  0xb0f5d00e5916c8b8981e99191a1458704b587b2b            1635753846   \n",
       "316  0xd8b712d29381748db89c36bca0138d7c75866ddf            1628711942   \n",
       "154  0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a            1600032637   \n",
       "277  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168            1626881865   \n",
       "\n",
       "                           pools_gauges_address  \\\n",
       "317  0xd8b712d29381748db89c36bca0138d7c75866ddf   \n",
       "235  0xb0f5d00e5916c8b8981e99191a1458704b587b2b   \n",
       "316  0xd8b712d29381748db89c36bca0138d7c75866ddf   \n",
       "154  0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a   \n",
       "277  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168   \n",
       "\n",
       "                                   pools_gauges_weights_id  \\\n",
       "317  0xd8b712d29381748db89c36bca0138d7c75866ddf-1652313600   \n",
       "235  0xb0f5d00e5916c8b8981e99191a1458704b587b2b-1651708800   \n",
       "316  0xd8b712d29381748db89c36bca0138d7c75866ddf-1651708800   \n",
       "154  0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a-1651708800   \n",
       "277  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800   \n",
       "\n",
       "                      pools_gauges_pool_lpToken  \n",
       "317  0x5a6a4d54456819380173272a5e8e9b9904bdf41b  \n",
       "235  0xceaf7747579696a2f0bb206a14210e3c9e6fb269  \n",
       "316  0x5a6a4d54456819380173272a5e8e9b9904bdf41b  \n",
       "154  0x6c3f90f043a72fa612cbac8115ee7e52bde6e490  \n",
       "277  0xc4ad29ba4b3c580e6d59105fff484999997675ff  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# weights over time\n",
    "pool_gauges_q = top_pools_tvl_q.gauges(\n",
    "    orderBy=emissions_sg.Gauge.weights.timestamp,\n",
    "    orderDirection='desc',\n",
    "    first=1000)\n",
    "\n",
    "pool_gauges_df=sg.query_df([\n",
    "      pool_gauges_q.pool.name \n",
    "    , pool_gauges_q.weights.weight\n",
    "    , pool_gauges_q.weights.timestamp\n",
    "    , pool_gauges_q.id \n",
    "    , pool_gauges_q.created\n",
    "    , pool_gauges_q.address\n",
    "    , pool_gauges_q.weights.id\n",
    "    , pool_gauges_q.pool.lpToken\n",
    "])\n",
    "\n",
    "# # changing the data format\n",
    "pool_gauges_df['pools_gauges_weights_timestamp'] = pd.to_datetime(pool_gauges_df['pools_gauges_weights_timestamp'], unit='s').dt.floor('D')\n",
    "# pool_gauges_df = pool_rewards_df.loc[pool_rewards_df['pools_crvRewards_timestamp']>'2022-04-17']\n",
    "pool_gauges_df['pools_gauges_weights_weight'] = pool_gauges_df['pools_gauges_weights_weight'] / (10**18)\n",
    "\n",
    "print(pool_gauges_df.shape)\n",
    "pool_gauges_df.sort_values('pools_gauges_weights_timestamp', ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f5463e33",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,10))\n",
    "ax = sns.lineplot(x='pools_gauges_weights_timestamp', \n",
    "                  y='pools_gauges_weights_weight', \n",
    "                  data=pool_gauges_df.loc[pool_gauges_df['pools_gauges_weights_timestamp']>'2021-07-01'],\n",
    "                  hue='pools_gauges_pool_name', ci=None)\n",
    "\n",
    "plt.legend(fontsize=12, frameon=False, loc='upper left') \n",
    "plt.ylabel(\"Pool's Gauge Weights\", fontsize=12)\n",
    "plt.xlabel('', fontsize=12)\n",
    "plt.title(\"Top Pools' Gauge Weights Value Over Time\" , fontsize=14)\n",
    "plt.xticks(fontsize=12, rotation=45)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8e36ee37",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6, 8)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pools_gauges_pool_name</th>\n",
       "      <th>pools_gauges_weights_weight</th>\n",
       "      <th>pools_gauges_weights_timestamp</th>\n",
       "      <th>pools_gauges_id</th>\n",
       "      <th>pools_gauges_created</th>\n",
       "      <th>pools_gauges_address</th>\n",
       "      <th>pools_gauges_weights_id</th>\n",
       "      <th>pools_gauges_pool_lpToken</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>frax</td>\n",
       "      <td>66,372,395</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0x72e158d38dbd50a483501c24f792bdaaa3e7d55c</td>\n",
       "      <td>1619608312</td>\n",
       "      <td>0x72e158d38dbd50a483501c24f792bdaaa3e7d55c</td>\n",
       "      <td>0x72e158d38dbd50a483501c24f792bdaaa3e7d55c-1651708800</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool</td>\n",
       "      <td>59,693,276</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b</td>\n",
       "      <td>1635753846</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b-1651708800</td>\n",
       "      <td>0xceaf7747579696a2f0bb206a14210e3c9e6fb269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>tricrypto2</td>\n",
       "      <td>31,109,015</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168</td>\n",
       "      <td>1626881865</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>28,304,595</td>\n",
       "      <td>2022-05-12</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>1628711942</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf-1652313600</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>steth</td>\n",
       "      <td>16,458,827</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28</td>\n",
       "      <td>1610495468</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28-1651708800</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        pools_gauges_pool_name  \\\n",
       "208                                                       frax   \n",
       "235       Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool   \n",
       "277                                                 tricrypto2   \n",
       "317  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   \n",
       "68                                                       steth   \n",
       "\n",
       "     pools_gauges_weights_weight pools_gauges_weights_timestamp  \\\n",
       "208                   66,372,395                     2022-05-05   \n",
       "235                   59,693,276                     2022-05-05   \n",
       "277                   31,109,015                     2022-05-05   \n",
       "317                   28,304,595                     2022-05-12   \n",
       "68                    16,458,827                     2022-05-05   \n",
       "\n",
       "                                pools_gauges_id  pools_gauges_created  \\\n",
       "208  0x72e158d38dbd50a483501c24f792bdaaa3e7d55c            1619608312   \n",
       "235  0xb0f5d00e5916c8b8981e99191a1458704b587b2b            1635753846   \n",
       "277  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168            1626881865   \n",
       "317  0xd8b712d29381748db89c36bca0138d7c75866ddf            1628711942   \n",
       "68   0x182b723a58739a9c974cfdb385ceadb237453c28            1610495468   \n",
       "\n",
       "                           pools_gauges_address  \\\n",
       "208  0x72e158d38dbd50a483501c24f792bdaaa3e7d55c   \n",
       "235  0xb0f5d00e5916c8b8981e99191a1458704b587b2b   \n",
       "277  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168   \n",
       "317  0xd8b712d29381748db89c36bca0138d7c75866ddf   \n",
       "68   0x182b723a58739a9c974cfdb385ceadb237453c28   \n",
       "\n",
       "                                   pools_gauges_weights_id  \\\n",
       "208  0x72e158d38dbd50a483501c24f792bdaaa3e7d55c-1651708800   \n",
       "235  0xb0f5d00e5916c8b8981e99191a1458704b587b2b-1651708800   \n",
       "277  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800   \n",
       "317  0xd8b712d29381748db89c36bca0138d7c75866ddf-1652313600   \n",
       "68   0x182b723a58739a9c974cfdb385ceadb237453c28-1651708800   \n",
       "\n",
       "                      pools_gauges_pool_lpToken  \n",
       "208  0xd632f22692fac7611d2aa1c0d552930d43caed3b  \n",
       "235  0xceaf7747579696a2f0bb206a14210e3c9e6fb269  \n",
       "277  0xc4ad29ba4b3c580e6d59105fff484999997675ff  \n",
       "317  0x5a6a4d54456819380173272a5e8e9b9904bdf41b  \n",
       "68   0x06325440d014e39736583c165c2963ba99faf14e  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#take the latest gauge weight per pool\n",
    "pool_gauges_collapsed=pool_gauges_df.loc[pool_gauges_df.reset_index().groupby(['pools_gauges_pool_name'])['pools_gauges_weights_timestamp'].idxmax()].sort_values('pools_gauges_weights_weight', ascending=False)\n",
    "print(pool_gauges_collapsed.shape)\n",
    "pool_gauges_collapsed.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "076aed11",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6, 2)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>gaugeTotalWeights_weight</th>\n",
       "      <th>gaugeTotalWeights_timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>393,094,748,211,824,552,929,394,688</td>\n",
       "      <td>2022-05-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>395,182,006,922,294,913,660,878,848</td>\n",
       "      <td>2022-05-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>368,317,097,366,371,162,000,457,728</td>\n",
       "      <td>2022-04-28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>368,972,082,671,684,453,608,194,048</td>\n",
       "      <td>2022-04-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>362,621,762,008,332,498,752,241,664</td>\n",
       "      <td>2022-04-14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             gaugeTotalWeights_weight gaugeTotalWeights_timestamp\n",
       "0 393,094,748,211,824,552,929,394,688                  2022-05-12\n",
       "1 395,182,006,922,294,913,660,878,848                  2022-05-05\n",
       "2 368,317,097,366,371,162,000,457,728                  2022-04-28\n",
       "3 368,972,082,671,684,453,608,194,048                  2022-04-21\n",
       "4 362,621,762,008,332,498,752,241,664                  2022-04-14"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_gauge_q = emissions_sg.Query.gaugeTotalWeights(\n",
    "    orderBy=emissions_sg.GaugeTotalWeight.timestamp,\n",
    "    orderDirection='desc',\n",
    "    first=6)\n",
    "\n",
    "total_gauge_df=sg.query_df([\n",
    "#       total_gauge_q.id #same as timestamp\n",
    "    total_gauge_q.weight\n",
    "    , total_gauge_q.timestamp\n",
    "])\n",
    "\n",
    "# changing the data format\n",
    "total_gauge_df['gaugeTotalWeights_timestamp'] = pd.to_datetime(total_gauge_df['gaugeTotalWeights_timestamp'], unit='s').dt.floor('D')\n",
    "\n",
    "print(total_gauge_df.shape)\n",
    "total_gauge_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "28c46b75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>pools_gauges_pool_name</th>\n",
       "      <th>pools_gauges_weights_weight</th>\n",
       "      <th>pools_gauges_weights_timestamp</th>\n",
       "      <th>pools_gauges_id</th>\n",
       "      <th>pools_gauges_created</th>\n",
       "      <th>pools_gauges_address</th>\n",
       "      <th>pools_gauges_weights_id</th>\n",
       "      <th>pools_gauges_pool_lpToken</th>\n",
       "      <th>gaugeTotalWeights_weight</th>\n",
       "      <th>gaugeTotalWeights_timestamp</th>\n",
       "      <th>gw_pc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>frax</td>\n",
       "      <td>66,372,395</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0x72e158d38dbd50a483501c24f792bdaaa3e7d55c</td>\n",
       "      <td>1619608312</td>\n",
       "      <td>0x72e158d38dbd50a483501c24f792bdaaa3e7d55c</td>\n",
       "      <td>0x72e158d38dbd50a483501c24f792bdaaa3e7d55c-1651708800</td>\n",
       "      <td>0xd632f22692fac7611d2aa1c0d552930d43caed3b</td>\n",
       "      <td>395,182,006,922,294,913,660,878,848</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool</td>\n",
       "      <td>59,693,276</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b</td>\n",
       "      <td>1635753846</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b</td>\n",
       "      <td>0xb0f5d00e5916c8b8981e99191a1458704b587b2b-1651708800</td>\n",
       "      <td>0xceaf7747579696a2f0bb206a14210e3c9e6fb269</td>\n",
       "      <td>395,182,006,922,294,913,660,878,848</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tricrypto2</td>\n",
       "      <td>31,109,015</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168</td>\n",
       "      <td>1626881865</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "      <td>395,182,006,922,294,913,660,878,848</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>28,304,595</td>\n",
       "      <td>2022-05-12</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>1628711942</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf-1652313600</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>393,094,748,211,824,552,929,394,688</td>\n",
       "      <td>2022-05-12</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>steth</td>\n",
       "      <td>16,458,827</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28</td>\n",
       "      <td>1610495468</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28</td>\n",
       "      <td>0x182b723a58739a9c974cfdb385ceadb237453c28-1651708800</td>\n",
       "      <td>0x06325440d014e39736583c165c2963ba99faf14e</td>\n",
       "      <td>395,182,006,922,294,913,660,878,848</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3pool</td>\n",
       "      <td>3,169,330</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a</td>\n",
       "      <td>1600032637</td>\n",
       "      <td>0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a</td>\n",
       "      <td>0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a-1651708800</td>\n",
       "      <td>0x6c3f90f043a72fa612cbac8115ee7e52bde6e490</td>\n",
       "      <td>395,182,006,922,294,913,660,878,848</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      pools_gauges_pool_name  \\\n",
       "0                                                       frax   \n",
       "1       Curve.fi Factory USD Metapool: wormhole v2 UST-3Pool   \n",
       "2                                                 tricrypto2   \n",
       "3  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   \n",
       "4                                                      steth   \n",
       "5                                                      3pool   \n",
       "\n",
       "   pools_gauges_weights_weight pools_gauges_weights_timestamp  \\\n",
       "0                   66,372,395                     2022-05-05   \n",
       "1                   59,693,276                     2022-05-05   \n",
       "2                   31,109,015                     2022-05-05   \n",
       "3                   28,304,595                     2022-05-12   \n",
       "4                   16,458,827                     2022-05-05   \n",
       "5                    3,169,330                     2022-05-05   \n",
       "\n",
       "                              pools_gauges_id  pools_gauges_created  \\\n",
       "0  0x72e158d38dbd50a483501c24f792bdaaa3e7d55c            1619608312   \n",
       "1  0xb0f5d00e5916c8b8981e99191a1458704b587b2b            1635753846   \n",
       "2  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168            1626881865   \n",
       "3  0xd8b712d29381748db89c36bca0138d7c75866ddf            1628711942   \n",
       "4  0x182b723a58739a9c974cfdb385ceadb237453c28            1610495468   \n",
       "5  0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a            1600032637   \n",
       "\n",
       "                         pools_gauges_address  \\\n",
       "0  0x72e158d38dbd50a483501c24f792bdaaa3e7d55c   \n",
       "1  0xb0f5d00e5916c8b8981e99191a1458704b587b2b   \n",
       "2  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168   \n",
       "3  0xd8b712d29381748db89c36bca0138d7c75866ddf   \n",
       "4  0x182b723a58739a9c974cfdb385ceadb237453c28   \n",
       "5  0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a   \n",
       "\n",
       "                                 pools_gauges_weights_id  \\\n",
       "0  0x72e158d38dbd50a483501c24f792bdaaa3e7d55c-1651708800   \n",
       "1  0xb0f5d00e5916c8b8981e99191a1458704b587b2b-1651708800   \n",
       "2  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800   \n",
       "3  0xd8b712d29381748db89c36bca0138d7c75866ddf-1652313600   \n",
       "4  0x182b723a58739a9c974cfdb385ceadb237453c28-1651708800   \n",
       "5  0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a-1651708800   \n",
       "\n",
       "                    pools_gauges_pool_lpToken  \\\n",
       "0  0xd632f22692fac7611d2aa1c0d552930d43caed3b   \n",
       "1  0xceaf7747579696a2f0bb206a14210e3c9e6fb269   \n",
       "2  0xc4ad29ba4b3c580e6d59105fff484999997675ff   \n",
       "3  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "4  0x06325440d014e39736583c165c2963ba99faf14e   \n",
       "5  0x6c3f90f043a72fa612cbac8115ee7e52bde6e490   \n",
       "\n",
       "             gaugeTotalWeights_weight gaugeTotalWeights_timestamp  gw_pc  \n",
       "0 395,182,006,922,294,913,660,878,848                  2022-05-05      0  \n",
       "1 395,182,006,922,294,913,660,878,848                  2022-05-05      0  \n",
       "2 395,182,006,922,294,913,660,878,848                  2022-05-05      0  \n",
       "3 393,094,748,211,824,552,929,394,688                  2022-05-12      0  \n",
       "4 395,182,006,922,294,913,660,878,848                  2022-05-05      0  \n",
       "5 395,182,006,922,294,913,660,878,848                  2022-05-05      0  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merge per pool gauge weight df with total gauge weight df\n",
    "pool_gauges_collapsed=pool_gauges_collapsed.merge(total_gauge_df, how='left', \n",
    "                            left_on='pools_gauges_weights_timestamp',\n",
    "                            right_on='gaugeTotalWeights_timestamp')#.drop(columns=['month', 'day', 'date'])\n",
    "#make a col with percentage gauge weight per pool \n",
    "pool_gauges_collapsed['gw_pc']=pool_gauges_collapsed['pools_gauges_weights_weight']/pool_gauges_collapsed['gaugeTotalWeights_weight']*100\n",
    "pool_gauges_collapsed\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "5d72be68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(pool_gauges_collapsed['gw_pc'], autopct='%.0f%%',\n",
    "        labels = ['frax', 'UST-3Pool', 'tricrypto2', 'MIM 3Pool', 'steth', '3pool'])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1f0cf868",
   "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>gaugeTotalWeights_weight</th>\n",
       "      <th>gaugeTotalWeights_timestamp</th>\n",
       "      <th>revenueWeeklySnapshots_timestamp</th>\n",
       "      <th>revenueWeeklySnapshots_crvPrice</th>\n",
       "      <th>totalCrvRevenue</th>\n",
       "      <th>crvRevenueToLpProvidersAmount</th>\n",
       "      <th>crvRevenueToCvxCrvStakersAmount</th>\n",
       "      <th>crvRevenueToCvxStakersAmount</th>\n",
       "      <th>crvRevenueToCallersAmount</th>\n",
       "      <th>crvRevenueToPlatformAmount</th>\n",
       "      <th>totalCrvRevenueCumulative</th>\n",
       "      <th>crvRevenueToLpProvidersAmountCumulative</th>\n",
       "      <th>crvRevenueToCvxCrvStakersAmountCumulative</th>\n",
       "      <th>crvRevenueToCvxStakersAmountCumulative</th>\n",
       "      <th>crvRevenueToCallersAmountCumulative</th>\n",
       "      <th>crvRevenueToPlatformAmountCumulative</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>395,182,006,922,294,913,660,878,848</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>3</td>\n",
       "      <td>3,931,933</td>\n",
       "      <td>3,263,504</td>\n",
       "      <td>393,193</td>\n",
       "      <td>196,597</td>\n",
       "      <td>39,319</td>\n",
       "      <td>39,319</td>\n",
       "      <td>178,247,796</td>\n",
       "      <td>148,359,193</td>\n",
       "      <td>17,824,780</td>\n",
       "      <td>8,912,300</td>\n",
       "      <td>1,782,388</td>\n",
       "      <td>79,151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>368,317,097,366,371,162,000,457,728</td>\n",
       "      <td>2022-04-28</td>\n",
       "      <td>2022-04-28</td>\n",
       "      <td>2</td>\n",
       "      <td>3,983,203</td>\n",
       "      <td>3,306,058</td>\n",
       "      <td>398,320</td>\n",
       "      <td>199,160</td>\n",
       "      <td>39,832</td>\n",
       "      <td>39,832</td>\n",
       "      <td>174,315,863</td>\n",
       "      <td>145,095,689</td>\n",
       "      <td>17,431,586</td>\n",
       "      <td>8,715,703</td>\n",
       "      <td>1,743,069</td>\n",
       "      <td>79,867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>368,972,082,671,684,453,608,194,048</td>\n",
       "      <td>2022-04-21</td>\n",
       "      <td>2022-04-21</td>\n",
       "      <td>2</td>\n",
       "      <td>4,003,459</td>\n",
       "      <td>3,322,871</td>\n",
       "      <td>400,346</td>\n",
       "      <td>200,173</td>\n",
       "      <td>40,035</td>\n",
       "      <td>40,035</td>\n",
       "      <td>170,332,660</td>\n",
       "      <td>141,789,631</td>\n",
       "      <td>17,033,266</td>\n",
       "      <td>8,516,543</td>\n",
       "      <td>1,703,236</td>\n",
       "      <td>80,267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>362,621,762,008,332,498,752,241,664</td>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>2022-04-14</td>\n",
       "      <td>2</td>\n",
       "      <td>4,023,273</td>\n",
       "      <td>3,339,316</td>\n",
       "      <td>402,327</td>\n",
       "      <td>201,164</td>\n",
       "      <td>40,233</td>\n",
       "      <td>40,233</td>\n",
       "      <td>166,329,201</td>\n",
       "      <td>138,466,759</td>\n",
       "      <td>16,632,920</td>\n",
       "      <td>8,316,370</td>\n",
       "      <td>1,663,202</td>\n",
       "      <td>80,296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>362,837,843,014,174,634,372,235,264</td>\n",
       "      <td>2022-04-07</td>\n",
       "      <td>2022-04-07</td>\n",
       "      <td>3</td>\n",
       "      <td>4,006,359</td>\n",
       "      <td>3,325,278</td>\n",
       "      <td>400,636</td>\n",
       "      <td>200,318</td>\n",
       "      <td>40,064</td>\n",
       "      <td>40,064</td>\n",
       "      <td>162,305,928</td>\n",
       "      <td>135,127,443</td>\n",
       "      <td>16,230,593</td>\n",
       "      <td>8,115,206</td>\n",
       "      <td>1,622,969</td>\n",
       "      <td>80,707</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             gaugeTotalWeights_weight gaugeTotalWeights_timestamp  \\\n",
       "0 395,182,006,922,294,913,660,878,848                  2022-05-05   \n",
       "1 368,317,097,366,371,162,000,457,728                  2022-04-28   \n",
       "2 368,972,082,671,684,453,608,194,048                  2022-04-21   \n",
       "3 362,621,762,008,332,498,752,241,664                  2022-04-14   \n",
       "4 362,837,843,014,174,634,372,235,264                  2022-04-07   \n",
       "\n",
       "  revenueWeeklySnapshots_timestamp  revenueWeeklySnapshots_crvPrice  \\\n",
       "0                       2022-05-05                                3   \n",
       "1                       2022-04-28                                2   \n",
       "2                       2022-04-21                                2   \n",
       "3                       2022-04-14                                2   \n",
       "4                       2022-04-07                                3   \n",
       "\n",
       "  totalCrvRevenue crvRevenueToLpProvidersAmount  \\\n",
       "0       3,931,933                     3,263,504   \n",
       "1       3,983,203                     3,306,058   \n",
       "2       4,003,459                     3,322,871   \n",
       "3       4,023,273                     3,339,316   \n",
       "4       4,006,359                     3,325,278   \n",
       "\n",
       "  crvRevenueToCvxCrvStakersAmount crvRevenueToCvxStakersAmount  \\\n",
       "0                         393,193                      196,597   \n",
       "1                         398,320                      199,160   \n",
       "2                         400,346                      200,173   \n",
       "3                         402,327                      201,164   \n",
       "4                         400,636                      200,318   \n",
       "\n",
       "  crvRevenueToCallersAmount crvRevenueToPlatformAmount  \\\n",
       "0                    39,319                     39,319   \n",
       "1                    39,832                     39,832   \n",
       "2                    40,035                     40,035   \n",
       "3                    40,233                     40,233   \n",
       "4                    40,064                     40,064   \n",
       "\n",
       "  totalCrvRevenueCumulative crvRevenueToLpProvidersAmountCumulative  \\\n",
       "0               178,247,796                             148,359,193   \n",
       "1               174,315,863                             145,095,689   \n",
       "2               170,332,660                             141,789,631   \n",
       "3               166,329,201                             138,466,759   \n",
       "4               162,305,928                             135,127,443   \n",
       "\n",
       "  crvRevenueToCvxCrvStakersAmountCumulative  \\\n",
       "0                                17,824,780   \n",
       "1                                17,431,586   \n",
       "2                                17,033,266   \n",
       "3                                16,632,920   \n",
       "4                                16,230,593   \n",
       "\n",
       "  crvRevenueToCvxStakersAmountCumulative crvRevenueToCallersAmountCumulative  \\\n",
       "0                              8,912,300                           1,782,388   \n",
       "1                              8,715,703                           1,743,069   \n",
       "2                              8,516,543                           1,703,236   \n",
       "3                              8,316,370                           1,663,202   \n",
       "4                              8,115,206                           1,622,969   \n",
       "\n",
       "  crvRevenueToPlatformAmountCumulative  \n",
       "0                               79,151  \n",
       "1                               79,867  \n",
       "2                               80,267  \n",
       "3                               80,296  \n",
       "4                               80,707  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merge per pool gauge weight df with total gauge weight df\n",
    "revenue_gauge_df=total_gauge_df.merge(revenue_df, how='inner', \n",
    "                            left_on='gaugeTotalWeights_timestamp',\n",
    "                            right_on='revenueWeeklySnapshots_timestamp')#.drop(columns=['month', 'day', 'date'])\n",
    "revenue_gauge_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4e2ef3a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TPlKtapbjy5s7869ejZi8fCvdh6QxZuY6stQnSUQkrCm8RIAGlUsx9pr2xJhxwchZLN0c+T18sq/xcrStAQpLfGwM13ery/e3d6VVzbI88PkSzn5VfZJERMKZwkuEqFcpifev7UBCXAwXvjaLxZt2hrqkY7I+Yw/lSxajdGJ8qEsBfFf5HX1lW547vwXrM3x9kp4Zpz5JIiLhSOElgtSpWJIPru1AyWJxXDhyFvN/2RHqko7auj8yQ7LepSBmxlmtqjNhUCp9W1Zj2KTV9Hp+CtNXqU+SiEg4UXiJMDXKl+D9a9tTtkQxLn5tNnPXbwt1SUdlfcaekK53KUj5ksUYfF4L3rm6HQAXvTabOz5YoD5JIiJhQuElAlUv5wswyaUSuHTUHOasjawAs/fAIX79c2/Yjbzk1snrk3TjSXX5fP4mug9J49N56pMkIhJqCi8RqkqZ4oy9pj3HlUnkstfnMGN15ExtbNyeiXOhOU36SCXGx3LXqY346pbO1KpQgtvfX8Clr8/5+2wpEREJPoWXCFa5dCJjr+lAjfLFueKNH5myYmuoS/LLuj+yr/ESntNGeWl0XGk+vq4jj/U9gXkbdtDzuSm8Mnm1+iSJiISAwkuESy6VwHsD21OnYkmuHp3OpGVbQl3SYa0Lg2u8HI2YGOOSDrWZMCiVkxpW4r/fLePMF6cxb8P2UJcmIlKkKLxEgQpJvgBTv1IS146Zy/ilv4e6pAJt2JZJqcQ4ypUIj9Okj9RxZRJ59ZI2DPf6JPV/ZQYPf7GE3fsOhro0EZEiQeElSpQrWYx3r25P4yqluP7tuXy76NdQl5SvdRm+06TNLNSlHJNTvT5Jl7avxVsz19FjSFrYB0cRkWig8BJFypSIZ8zV7WhevQw3vTePLxdsDnVJeVqfsSei1rsUpFRiPI/0bcrH13ekTPF4Bo5O57oxc/n9T/VJEhEJFIWXKFM6MZ7RV7WjTc1y3Dp2Hp/O2xjqkv7HgUNZbNz+F7Uj4EyjI9Ha65N0d6+GTFq+he6D0xgza736JImIBIDCSxRKSojjzStPpF2dCgz6YAEfpv8S6pL+tnnHXxzKclEz8pJTfGwMN3Srx/e3d6VFjbI88Nliznl1RtQ00xQRCRcKL1GqRLE4Xr/8RDrXq8hdHy3kvTkbQl0S4FvvAlCrfHSNvORUq0JJxlzVliHntWDtH3s4fehUnh23XH2SREQKicJLFCteLJaRl6bQrWEy936yiDEz14W6pL8v7la7YvSNvORkZvRvXZ2Jd3SjT8uqvDRpFae9MDWiLiYoIhKuFF6iXGJ8LMMvaUP3xpV44PMljJq2NqT1rM/IJDE+hkqlEkJaR7CUL1mMIee15O2r2pHlHBeOnM2dHy5gu/okiYgcNYWXIiAhLpaXL2pDrxOO47GvljI8bXXIasluyBjpp0kfqc71KzLutq7c0K0un83bxCnqkyQictQUXoqIYnExvHhhK05vXoWnvl3GsEmrQlLHuoxMakbxepeCJMbHcncvX5+kmuX/6ZO0wVsHJCIi/lF4KULiY2N44fyW9GtZlWfGLef5CSuC+sk/K8uxYVtm1K93OZxGx5Xm4+s78mh2n6Tn03g1TX2SRET8pfBSxMTFxjD4vJac06Y6z09YyeDvgxdgfvtzL/sPZkVEN+lAi40xLu1Qm/GDutK1fjL/+XYZfV6azoJfdoS6NBGRsKfwUgTFxhhPn92cC9rW4KVJq/jPt8uCEmAitSFjIFUpU5wRl6bw6sVt2LZnH/1enq4+SSIihxEX6gIkNGJijCf6NSMuJobhU9aw/1AWD57RJKALadd7azuK6pqXgvRqehwd61Xg2XHLeWvmOsYt+Y3H+jale5PKoS5NRCTsaOSlCIuJMR7tewJXdKrNG9PX8eDnSwJ6Oft1GXuIjzWqli0esPeIZKUT43nU65NUOjGeq0enc/3b6pMkIpKbRl6KODPjwTOaEB8bw4gpaziYlcUT/ZoRE1P4IzAbMjKpUb4EsQF47WjSumY5vrqlMyOmrOGFiSuZtvIP/nVaIy5sWzMg/19ERCKNXyMvZtbZzK7w7iebWZ3AliXBZGbce1ojbjypLu/N+YW7P17IoQCMwKzLyNR6Fz/Fx8Zw40n1GHdbV5pVL8P9ny3m3OEzWfG7+iSJiBw2vJjZQ8C/gHu9TfHA24EsSoLPzLizZ0Nu616fj+Zu5I4P5nOwEE/ddc6xPmOPzjQ6QnUqluSdq9sx+NwWrNm6m9OHTmXw9+qTJCJFmz/TRmcBrYCfAJxzm82sVECrkpAwM27r3oC4GOPZ71dwMMvx3PktiY899qVRW3fvI3P/oahuyBgoZsbZbarTrWEyT3z9My/+sIqvFv7Kk2c1o0PdCqEuT0Qk6Pz5V2m/851H6wDMTOP+Ue6mk+tz72mN+Grhr9z87jz2Hzz2EZjsq8jWKuIXqDsWFZISGHK+r0/SoSzHBSNncZf6JIlIEeRPePnAzIYDZc1sIDABGBnYsiTUrk2tywNnNOG7Jb9xwzs/se/gsU1TrPPCi9a8HLvsPknXd6vLJ/M20X1IGp/P36Q+SSJSZBw2vDjnngU+Aj4GGgIPOudeDHRhEnpXda7Do31PYMLPv3PtmLnHtM5ifcYeYmOMajpNulAULxbLv3o14qubO1O9fAluHTtffZJEpMjwazGDc268c+4u59ydzrnxgS5KwselHWrzVP9mpK3YysDR6fy1/+gCzLqMTKqWTaRYnC4tVJgaVynNJ9d35JE+J/DT+u30fD6N4WmrC3WxtYhIuPHnbKNdZvand9trZofM7M9gFCfh4YK2NXn67OZMW/UHV775I5n7j/zS9Rsy9mjKKEBiY4zLOtZm/KBUOtdL5in1SRKRKOfPtFEp51xp51xpoDhwNvBywCuTsHJuSg2GnNeC2WszuPz1H4+49866jEydJh1gVcsWZ+SlbXj14tZk7NnHWS9P59Evl7JHfZJEJMoc0Ri+8/kMODUw5Ug4O6tVdV4Y0Iq5G7Zz6ajZ/Ln3gF/P25G5n51/HdDISxCYGb2aVmH8oFQualeLN2aspceQNCYs/T3UpYmIFBp/po3657idY2b/AdRspYg6s0VVXrqgFQs37uSSUXPYmXn4ALNODRmDrnRiPI/1a8pH13UkKTGOq0enc8M7c9miPkkiEgX8GXk5M8ftVGAX0DeQRUl4O61ZFV65uA1LN+/kolGzDnudkfUZewCorWu8BF2bWuX46uYu3HVqQyb8vIVThqTxzuz1AW3AKSISaP6sebkix22gc+4J59yWYBQn4atHk8qMuCSFFb/v5oKRs8jYvS/ffddr5CWkisX90yepadUy/PvTxZw3fCYr1SdJRCKUP9NGyWZ2n5mNMLPXs2/BKE7C20mNKvHapSms/WMPF4ycxdZdeQeYdRl7qFImkcT42CBXKDnVqViSdwe245lzmrNq6256D53KEPVJEpEI5M+00edAGXxX1v06x02Erg2SeePyE/ll218MGDGT3/NYU7E+I1OjLmHCzDg3pQYTB6VyRvOqDP1hFb1fmMrM1RmhLk1ExG/+hJcSzrl/Oec+cM59nH0LeGUSMTrWq8ibV5zIrzv3MmDELH7d+df/PL4+I1NnGoWZCkkJPHd+S8Zc1ZaDXp+kuz9awI5M9UkSkfDnT3j5ysx6B7wSiWjtjq/AmKvasnXXPs4fPouN233rXHbvO8gfu/dRq6JGXsJRl/rJjLutK9el1uXjn9QnSUQigz/h5VZ8AWavd5XdXbrCruSlTa3yvH11O7Zn7uf84bPYkJH5z5lGGnkJW8WLxXLPaY348qbOVCtbnFvHzufyN37kl23qkyQi4cnfK+zGOOcSvSvtlvKutivy/7SsUZb3BrZn976DnD9iJmkrtgI60ygSNKlamk9u6MRDZzYhfd02ej43hRFT1CdJRMKPP2cbmZldbGYPeF/XMLO2gS9NIlXTamV4b2B79h3M4unvlgOoNUCEiI0xruhUh/GDUulUryJPfrOMvsOms3DjjlCXJiLyN3+mjV4GOgAXel/vBoYFrCKJCk2qlua9ge2pmFSMSqUSKJUYH+qS5Ajk7JO0ddc++g1TnyQRCR9xfuzTzjnX2szmATjntptZsQDXJVGg4XGl+PymzgVewE7CV3afpI71KvL0d8t4ffpaxi35jcf6ncDJjSqHujwRKcL8GXk5YGaxgAPfResATYKLX6qVLU7z6mVDXYYcg9KJ8TzerxkfXdeBEsViufLNdG589ye27FKfJBEJDX/Cy1DgU6CSmT0BTAOeDGhVIhJ2UmqX5+tbunBnzwaMX/o7pwxO493ZG9QnSUSCzvy5noOZNQJOAQyY6Jz7OdCFHamUlBSXnp4e6jJEioQ1W3dz36eLmLVmGyfWLsdT/ZtRr1KpUJclIlHGzOY651Jyb/fnbKOhQHnn3DDn3EvhGFxEJLiOT07ivYHteeac5qzcspvTXpjKkPEr1CdJRILCn2mjucD9ZrbazJ41s/+XgESk6MnukzRhUCqnN6vC0Ikr6T10KrPWqE+SiASWPxepe8s51xs4EVgO/NfMVh7ueWaWaGZzzGyBmS0xs0fy2KeWmU00s4VmNtnMqud47GnveT+b2VAzsyP83kQkCComJfD8gFa8dWVbDhzKYsCIWdzz8UJ2Zh4IdWkiEqX8GXnJVg9oBNQClvmx/z7gZOdcC6Al0MvM2ufa51lgtHOuOfAo8BSAmXUEOgHNgab4glPqEdQqIkGW2iCZ729L5drU4/lw7kZOGTKZLxZsVp8kESl0/qx5edobaXkUWASkOOfOPNzznM9u78t475b7r1gT4Afv/iSgb/bTgUSgGJDgPff3w72niIRW8WKx3HtaY764qRNVyxbnlvfmccWb6pMkIoXLn5GX1UAH51wv59ybzrkd/r64mcWa2XxgCzDeOTc71y4LgP7e/bOAUmZWwTk3E1+Y+dW7jdNCYZHIcULVMnzq9Umas9bXJ+m1qWvUJ0lECoU/4WUkvimfBwHMrKa/vY2cc4eccy2B6kBbM2uaa5c7gVTv6r2pwCbgkJnVAxp7z6sGnGxmXXK/vpldY2bpZpa+detWf0oSkSDJ2SepY90KPP71z/R7eTqLNu4MdWkiEuEOe50XM3sF3xV1T3bONTazcsD3zrkTj+iNfOEn0zn3bD6PJwHLnHPVzewuINE591iO5+51zj2d3+vrOi8i4cs5x7eLf+OhL5aQsXsfV3Sqw6AeDSiZ4E+HEhEpqo76Oi/4ehvdCOwFX28jfGtRDveGyWZW1rtfHOhBroW+ZlbRzLJruBd43bu/Ad+ITJyZxeMbldG0kUiEMjN6N6vChEGpXNC2JqOmraXnc1OYtGxLqEsTkQgUyN5GVYBJZrYQ+BHfmpevzOxRM+vj7dMNWG5mK4DKwBPe9o/wrbVZhG9dzALn3Jd+fk8iEqbKFI/nibOa8aHXJ+mKN3/kJvVJEpEj5M+00UXA+UBr4C3gHOAB59wHgS/Pf5o2Eoks+w9mMTxtNS/+sIrE+Bju692Y81JqEBOjSzqJiE9+00ZH1dsI2OCc21PoVR4DhReRyLR6627u+2QRs9duo23t8jzZv6n6JIkIcJRrXsysmtcOYI1zbhjwAXAJcNgr7IqI+KNuchJjr2nP02c3Z/nvu+j9wjSeG7+CfQfVJ0lE8pZveDGz24D5wIvALDO7Gt+i2eJAm2AUJyJFg5lx3ok1mHhHKqc1O44XJq6k9wtTma0+SSKSh3ynjcxsKdDZObfNzGoCK4BOzrm5wSzQX5o2Eokek5dv4f7PFrNx+19c0LYG9/RqTJkS8aEuS0SC7GimjfY657YBOOc2AMvDNbiISHTp1rAS39/elWu6Hs8H6Rs5ZUgaX6pPkoh4Chp52QKMzbFpQM6vnXO3BLa0I6ORF5HotHjTTu79ZBGLNu3kpIbJPNavKdXLlQh1WSISBEd8tpGZXVbQCzrn3iqk2gqFwotI9DqU5Xhrxjqe/X45zsEdPRtwecfaxMX6c6kqEYlUR32qtJm1ds79FLDKConCi0j027TjLx74bDE/LNtC02ql+U//5jStVibUZYlIgBxLe4DBZvazmT2WR2NFEZGgqVa2OKMuS2HYha35bec++rw0jSe+Xkrm/oOhLk1Eguiw4cU5dxJwErAVGG5mi8zs/oBXJiKSBzPj9OZVmHhHKgPa1mTk1LX0GDKFScvVJ0mkqPBrwtg595tzbihwHb5rvzwYyKJERA6nTPF4nvT6JBUvFssVb/zIze/NY+uufaEuTUQC7LDhxcwam9nDZrYI3wXrZgDVA16ZiIgfTqxdnq9v6cygHg0Yt/g3Thk8mbFzNpCVpdOqRaKVPyMvrwPbgVOdc92cc6845zQ+KyJhIyEulltOqc+3t3WhUZXS3PPJIgaMnMWqLbtDXZqIBMDhehvFAmudcy845zYHqSYRkaNSNzmJsQPb89+zm7Hs1z/p/cJUXpiwUn2SRKJMgeHFOXcIqGFmxYJUj4jIMYmJMc4/sSYT7+hGr6bH8dyEFfR+YSpz1m4LdWkiUkj8uc7LaKAx8AWwJ3u7c25IYEs7MrrOi4jk5X/7JNXkntMaUaa4+iSJRIJjuc7LauArb99SOW4iImEvZ5+k93/cQPchaXy98Ff1SRKJYAW1B0gESjnntubaXgn40zm3Nwj1+U0jLyJyODn7JJ3cqBKP9j1BfZJEwtjRjLwMBbrksb0T8FxhFSYiEixNq5Xh0xs6cv/pjZm5OoOez01h1LS1HNJp1SIRpaDw0sY590nujc65T4GugStJRCRw4mJjuLrL8Ywf1JX2x1fgsa+W0m/YdBZv2hnq0kTETwWFl4LGUtXKVUQiWvVyJRh1WQovXdiKX3fupe+w6Tz5zc/qkyQSAQoKIVvMrG3ujWZ2Ir4+RyIiEc3MOKN5VSYOSuW8lBqMmLKGns9NYbL6JImEtYIW7LYFPgDeBOZ6m1OAS4EBzrnZwSjQX1qwKyLHas7abdz7yUJWb91DnxZVeeCMJiSXSgh1WSJF1hEv2HXOzQHaAQZc7t0MaBduwUVEpDC0rVOeb27twm3d6/Pd4t/oPiSN93/coNOqRcLMYS9SFyk08iIihWnVlt3c98ki5qzbRrs65XmyfzPqJieFuiyRIiW/kZeCpo0WAXk9aIBzzjUv3BKPjcKLiBS2rCzHB+m/8OQ3P7P3QBY3nVyP61LrUixO5yyIBEN+4SWugOecEcB6RETCXkyMMaBtTU5uXInHvvqZIeNX8OWCzTzVvxkptcuHujyRIkvTRiIifpq0zNcnadOOv7iwXU3+1Ut9kkQC6ah7G5lZezP70cx2m9l+MztkZn8GpkwRkfB1UiNfn6SrO9dh7Bz1SRIJFX8mbl8CLgBWAsWBq4FhgSxKRCRclUyI4/4zmvD5jZ2pXDqBG9/9iavfSmfTjr9CXZpIkeHXqjPn3Cog1jl3yDn3BtArsGWJiIS3ZtXL8NkNnbj/9MbMWJ1BjyFpvK4+SSJB4U94yTSzYsB8M3vazG7383kiIlEtu0/S97d3pW2d8jz61VLOenk6SzarT5JIIPkTQi7x9rsJ2APUAPoHsigRkUhSo3wJ3rj8RF68oBWbd/xFn5em89Q3P/PX/kOhLk0kKvkTXvo55/Y65/50zj3inBuETqMWEfkfZsaZLaoycVA3zkupzvApa+j5fBppK9QKTqSw+RNeLstj2+WFXIeISFQoUyKep/o35/1r2hMfG8Nlr8/h1rHz+GP3vlCXJhI18r1InZldAFwI1DGzL3I8VBrYFujCREQiWbvjK/DtrV14edJqXpm8msnLt/Lv0xtzbpvqmFmoyxOJaAVdYXcG8CtQERicY/suYGEgixIRiQYJcbHc3qMBZ7aown2fLObujxbyyU8befKsZhyvPkkiR62grtLrnXOTnXMdgGVAKe+20Tl3MFgFiohEunqVSjH2mvY81b8ZSzb/Sa8XpvLixJXsP5gV6tJEIpI/V9g9F5gDnAucB8w2s3MCXZiISDSJiTEuaFuTiXek0rNJZQaPX8HpQ6cyd71m4UWO1GF7G5nZAqCHc26L93UyMME51yII9flNvY1EJJL8sOx3HvhsCZt2/MVF7Wpyt/okifw/R93bCIjJDi6eDD+fJyIi+Ti5UWW+v70rV3Wuw3tzNtBjSBrfLlKfJBF/+BNCvjWzcWZ2uZldDnwNfBPYskREol/JhDge8PokJZdK4Pp3fmLg6HQ2q0+SSIH8CS8OGA40924jAlqRiEgR06x6GT6/sRP/7t2Y6at8fZLemK4+SSL58WfNy0/Ouda5ti10zjUPaGVHSGteRCQa/LItk/s/W0zaiq20qF6Gp/o3p0nV0qEuSyQkjnjNi5ldb2aLgIZmtjDHbS26zouISEDUKF+CN684kaEXtGLTjr8486VpPPWt+iSJ5JTvyIuZlQHKAU8B9+R4aJdzLuzO7dPIi4hEmx2Z+3nqm2W8n/4LNcoX54l+zejaIDnUZYkETX4jL4edNooUCi8iEq1mrcngvk8XsWbrHvq1rMr9ZzShYlJCqMsSCbhjOVVaRERCqP3xFfjmli7cckp9vl70K92HpPFh+i86rVqKLIUXEZEIkBgfy6AeDfjmli7Ur5TEXR8t5MKRs1n7x55QlyYSdAovIiIRpH7lUrx/TQeePKsZizfv5NTnp/DSD+qTJEWLwouISISJiTEubFeTiYNS6dG4Ms9+v4IzXlSfJCk6FF5ERCJUpdKJDLuoNaMuS2H33oOc8+pM7v9sEX/uPRDq0kQCSuFFRCTCndK4MuMHpXJlpzq8O3sD3Qen8d1i9UmS6KXwIiISBbL7JH12YycqJiVw3ds/cc2Yufy6U32SJPoovIiIRJHm1cvyxU2duK93I6au3Er3wWm8qT5JEmUUXkREokxcbAzXdK3L+NtTaVO7PA9/uZT+r8zg51//DHVpIoUiYOHFzBLNbI6ZLTCzJWb2SB771DKziV7PpMlmVj3HYzXN7Hsz+9nMlppZ7UDVKiISjWqUL8FbV5zICwNasnFbJme8OI3/fLtMfZIk4gVy5GUfcLJzrgXQEuhlZu1z7fMsMNrrUP0ovj5K2UYDzzjnGgNtgS0BrFVEJCqZGX1bVmPiHamc3boar6at5tTnpzB15dZQlyZy1AIWXpzPbu/LeO+We9K1CfCDd38S0BfAzJoAcc658d5r7XbOZQaqVhGRaFe2RDGePqcF7w1sT1yMccmoOQx6fz4Zu/eFujSRIxbQNS9mFmtm8/GNmox3zs3OtcsCoL93/yyglJlVABoAO8zsEzObZ2bPmFlsIGsVESkKOtStwDe3duGWk+vx5cLNdB+SxkdzN+q0aokoAQ0vzrlDzrmWQHWgrZk1zbXLnUCqmc0DUoFNwCEgDujiPX4icDxwee7XN7NrzCzdzNK3btUQqIiIPxLjYxnUsyHf3NKFuslJ3PnhAi56TX2SJHIE5Wwj59wOfNNCvXJt3+yc6++cawX8O8e+G4H5zrk1zrmDwGdA6zxed4RzLsU5l5KcnBzYb0JEJMrUr1yKD67twBNnNWXRRl+fpGGTVqlPkoS9QJ5tlGxmZb37xYEewLJc+1Q0s+wa7gVe9+7/CJQ1s+xEcjKwNFC1iogUVTExxkXtajHhjlS6N67EM+OWc+aL05i7fnuoSxPJVyBHXqoAk8xsIb4wMt4595WZPWpmfbx9ugHLzWwFUBl4AnzTTfimjCaa2SLAgJEBrFVEpEirXDqRly9qw2uXprBr7wHOeXUGD3y2WH2SJCxZtCzSSklJcenp6aEuQ0Qk4u3ed5DB3y/nzRnrqFQqgUf6NKVX0+NCXZYUQWY21zmXknu7rrArIiL/IykhjofOPIHPbuhE+ZIJXPf2XK4Zna4+SRI2FF5ERCRPLWr4+iTde1ojpqzcSo8hU3hrxjr1SZKQU3gREZF8xcfGcG1qXb6/LZVWNcvy0BdLOFt9kiTEFF5EROSwalYowegr2/LCgJb8si2TM1+cxn+/W8beA+qTJMGn8CIiIn7J7pM0YVAqZ7WqxiuTfX2Spq38I9SlSRGj8CIiIkekXMliPHNuC94d2I4YMy4eNZtBH8xn2579oS5NigiFFxEROSod61bk21u7cPPJ9fhi/mZOGTyZj9UnSYJA4UVERI5aYnwsd/RsyNe3dKFOxZLc8eECLh41m3XqkyQBpPAiIiLHrOFxpfjouo483q8pC3/5p0/SgUPqkySFT+FFREQKRUyMcXF7X5+kkxv90yfppw3qkySFS+FFREQKVeXSibxycRtGXprCzr8OcPYrM3jo88XsUp8kKSQKLyIiEhA9mlRm/KBULutQm9Gz1tNjyBTGLfkt1GVJFFB4ERGRgElKiOPhPifw6Q2dKFsinmvHzOXaMen8tnNvqEuTCKbwIiIiAdeyRlm+vLkz95zWiLQVW+k+JI3RM9UnSY6OwouIiARFfGwM1+Xok/Tg50s459UZLPtNfZLkyCi8iIhIUGX3SXr+/Jasz8jkjKHTeGac+iSJ/xReREQk6MyMfq2qMXFQKv1aVWPYpNX0en4K01epT5IcnsKLiIiETLmSxXj23Ba8e3U7AC56bTZ3fLBAfZKkQAovIiISch3rVeS727py00n1+Hz+Jk4ZPJlPflKfJMmbwouIiISFxPhY7jz1nz5Jgz5YwCWj5rA+Q32S5H8pvIiISFjJ7pP0WL+mLPhlBz2fm8Irk1erT5L8TeFFRETCTkyMcUn7WowflMpJDSvx3++WceaL05inPkmCwouIiISx48ok8uolbRhxSRt2ZB6g/yszePiLJezedzDUpUkIKbyIiEjY63nCcYwf1JXLOtTmrZnr6DEkje/VJ6nIUngREZGIUCoxnof7nMAn13ekTPF4rhkzl+vGzFWfpCJI4UVERCJKq5rl+PLmzvyrVyMmLd9CjyFpjJm5jiz1SSoyFF5ERCTixMfGcH23unx/e1da1CjLA16fpOW/7Qp1aRIECi8iIhKxalUoyZir2jLkvBasy8jk9KFTeXbccvVJinIKLyIiEtHMjP6tqzNhUCp9W1bjpUmr6PX8FGaoT1LUUngREZGoUL5kMQaf14J3vD5JF742mzs/XMB29UmKOgovIiISVTp5fZJuPKkun83bxClD0vh0nvokRROFFxERiTqJ8bHcdWojvrqlM7UqlOD29xdw6etz2JCRGerSpBAovIiISNRqdFxpX5+kvicwb8MOej6fxqtp6pMU6RReREQkqsXGGJd0qM2EQamkNkjmP98uo89L01nwy45QlyZHSeFFRESKhOPKJDL8khSGX9KG7Xv20+/l6eqTFKEUXkREpEg51euTdGn7Wn/3SRq/9PdQlyVHQOFFRESKnFKJ8TzStykfX9+R0onxDBydzvVvz+X3P9UnKRIovIiISJHVumY5vrqlM3f3asgPy7bQfXAab89arz5JYU7hRUREirT42Bhu6FaPcbd1pXmNMtz/2WLOHT6TFb+rT1K4UngREREBalcsydtXtWPwuS1Ys3U3pw+dyuDv1ScpHCm8iIiIeMyMs9tUZ+Id3TizRVVe/GEVp70wlRmr1ScpnCi8iIiI5FK+ZDGGnNeSt69qR5ZzXDhyNnepT1LYUHgRERHJR+f6FRl3W1du6FaXT+dtovuQND6fv0l9kkJM4UVERKQAifGx3N2rEV/e3Jka5Utw69j56pMUYgovIiIifmhcpTQfX9+RR/r80ydpeNpqDqpPUtApvIiIiPgpNsa4rGNtxg/qStf6yTylPkkhofAiIiJyhKqUKc6IS1N49eI2ZOzZx1kvT+eRL9UnKVgUXkRERI5Sr6bHMX5QKhe3r8WbM9bRc0gaE9QnKeAUXkRERI5B6cR4Hu3blI+u60ipxHiuHp3ODe/MZYv6JAWMwouIiEghaFOrHF/e3Jm7Tm3IhJ+3cMqQNN6ZrT5JgaDwIiIiUkiKxcVw40m+PknNqpXh358u5jz1SSp0Ci8iIiKFrE7Fkrxzta9P0mqvT9IQ9UkqNAovIiIiAZDdJ2nCoFTObF6VoT+sovcLU5m5OiPUpUU8hRcREZEAqpCUwJDzWzLmqrYczHJcMHIWd3+0gB2Z6pN0tBReREREgqBL/WTG3daV67vV5eOf1CfpWCi8iIiIBEnxYrH8q1cjvrypM9XK+fokXf7Gj/yyTX2SjkTAwouZJZrZHDNbYGZLzOyRPPapZWYTzWyhmU02s+q5Hi9tZhvN7KVA1SkiIhJsTaqW5hOvT1L6um30eC6NEVPUJ8lfgRx52Qec7JxrAbQEeplZ+1z7PAuMds41Bx4Fnsr1+GPAlADWKCIiEhL/9ElKpXO9ZJ78xtcnaeHGHaEuLewFLLw4n93el/HeLffEXhPgB+/+JKBv9gNm1gaoDHwfqBpFRERCrWrZ4oy8tA2vXtyaP3bvo9+w6Tz65VL2qE9SvgK65sXMYs1sPrAFGO+cm51rlwVAf+/+WUApM6tgZjHAYODOQNYnIiISDsyMXk2rMOGOVC5qV4s3Zqyl53NT+GGZ+iTlJaDhxTl3yDnXEqgOtDWzprl2uRNINbN5QCqwCTgE3AB845zbWNDrm9k1ZpZuZulbt24t/G9AREQkiEonxvNYv6Z8dF0HSibEcuWb6dz47k9s2aU+STlZsE7RMrMHgUzn3LP5PJ4ELHPOVTezd4AuQBaQBBQDXnbO3ZPf66ekpLj09PQAVC4iIhJ8+w9mMWLKaob+sIqEuBjuPa0xA06sQUyMhbq0oDGzuc65lNzbA3m2UbKZlfXuFwd6AMty7VPRmyICuBd4HcA5d5FzrqZzrja+0ZnRBQUXERGRaFMsLoabTq7PuNu60rRqGe77dBHnDZ/JSvVJCui0URVgkpktBH7Et+blKzN71Mz6ePt0A5ab2Qp8i3OfCGA9IiIiEadOxZK8O7Adz5zTnFVbd9N76FSGjF9RpPskBW3aKNA0bSQiItEuY/c+Hv/6Zz6dt4njk0vy5FnNaH98hVCXFTBBnzYSERGRwlUhKYHnzm/J6CvbcuBQFgNGzOKejxeyM/NAqEsLKoUXERGRCNO1QTLf35bKtanH8+HcjZwyZDJfLNhcZPokKbyIiIhEoOLFYrn3tMa+Pklli3PLe/OKTJ8khRcREZEI1qRqaT65oRMPndmE9HXb6PncFEZOWRPVfZIUXkRERCJcbIxxRac6jB+USqd6FXjim5/pO2w6izbuDHVpAaHwIiIiEiV8fZJSeOWi1mzdtY++w6bx2FfR1ydJ4UVERCSKmBmnNfP1SbqwXU1GTfP1SZq0bEuoSys0Ci8iIiJRqHRiPI/3a8ZH13WgRLFYrnjzx6jpk6TwIiIiEsVSapfn61u6cGfPBoxf+jvdB6fx3pwNZGVF7mnVCi8iIiJRLrtP0ne3dqFJ1dLc+8kiBoyYxaotkdknSeFFRESkiDg+OYn3Brbn6XOas/z3XfR+YRrPjV/BvoOR1SdJ4UVERKQIMTPOS6nBxDtSOa3ZcbwwcSW9X5jK7DUZoS7NbwovIiIiRVDFpAReGNCKt65sy/5DWZwfQX2SFF5ERESKsNT/1ycpjS/DvE+SwouIiEgRl90n6YubOlG1bCI3vzePK9/8kY3bw7NPksKLiIiIAHBC1TJ8ekMnHjyjCbPXbqPHkCm8NjX8+iQpvIiIiMjfYmOMKzv7+iR1rFuBx7/+mX4vT2fxpvDpk6TwIiIiIv9PtbLFee2yFF6+qDW//7mPPi9N44mvl5K5P/R9khReREREJE9mRu9mVZgwKJUL2tZk5NS19BgS+j5JCi8iIiJSoDLF43nirGZ8eF0Hint9km5+bx5bd+0LST0KLyIiIuKXE2uX5+tbOjOoRwPGLf6NUwZP5uO5G4Neh8KLiIiI+C0hLpZbTqnPt7d1oXGV0uz8K/gXtYsL+juKiIhIxKubnMTYa9oTimvZKbyIiIjIUTEzzIL/vpo2EhERkYii8CIiIiIRReFFREREIorCi4iIiEQUhRcRERGJKAovIiIiElEUXkRERCSiKLyIiIhIRFF4ERERkYii8CIiIiIRReFFREREIorCi4iIiEQUc6FoBxkAZrYVWB/qOgKsIvBHqIsIQzouedNxyZuOS950XPKm45K3YB2XWs655Nwboya8FAVmlu6cSwl1HeFGxyVvOi5503HJm45L3nRc8hbq46JpIxEREYkoCi8iIiISURReIsuIUBcQpnRc8qbjkjcdl7zpuORNxyVvIT0uWvMiIiIiEUUjLyIiIhJRFF5CzMwSzWyOmS0wsyVm9kg++51nZku9fd7Nsf2Qmc33bl8Er/LA8ue4mNlzOb73FWa2I8djl5nZSu92WVCLD6BCOC5R+fMCfh+bmmY2yczmmdlCM+ud47F7zWyVmS03s1ODW33gHMtxMbPaZvZXjp+ZV4P/HQSGn8ellplN9I7JZDOrnuOxovw3pqDjEpy/Mc453UJ4AwxI8u7HA7OB9rn2qQ/MA8p5X1fK8djuUH8PoTouufa/GXjdu18eWOP9t5x3v1yov6dQH5do/nnx99jgm6e/3rvfBFiX4/4CIAGoA6wGYkP9PYXBcakNLA719xDC4/IhcJl3/2RgjHe/SP+Nye+4eF8H5W+MRl5CzPns9r6M9265FyINBIY557Z7z9kSxBJDws/jktMFwHve/VOB8c65bd4xGw/0ClixQXSMxyWq+XlsHFDau18G2Ozd7wuMdc7tc86tBVYBbQNcclAc43GJWn4elybAD979Sfh+TkB/Y/I7LkGj8BIGzCzWzOYDW/D9QszOtUsDoIGZTTezWWaW85ck0czSve39glRyUPhxXLL3q4Xv03L2L1M14Jccu2z0tkWFYzguEMU/L+DXsXkYuNjMNgLf4BuZAv3MPEzexwWgjjedlGZmXYJScJD4cVwWAP29+2cBpcysAvp5ye+4QJD+xii8hAHn3CHnXEugOtDWzJrm2iUO39RRN3yfpEeaWVnvsVrOd5XDC4HnzaxuUIoOAj+OS7YBwEfOuUNBKy6EjvG4RO3PC/h1bC4A3nTOVQd6A2PMLOr/Dh7DcfkVqOmcawUMAt41s9JECT+Oy51AqpnNA1KBTUDU/505xuMSlL8xUf9LG0mcczvwDcHlHn7cCHzhnDvgDWmvwBdmcM5t8v67BpgMtApWvcFSwHHJNoD/nRrZBNTI8XV1b1tUOYrjUiR+XqDAY3MV8IG3z0wgEV+PlqL+M5PncfGm0TK87XPxrQVqELSCgyS/4+Kc2+yc6++Ft3/n2LdI/7wUcFyC9jdG4SXEzCw5exTFzIoDPYBluXb7DN+oC2ZWEd8fjzVmVs7MEnJs7wQsDUrhAebnccHMGuFbMDczx+ZxQE/v+JQDenrbIt6xHJdo/nkBv4/NBuAUb5/G+P6R3gp8AQwwswQzq4Pvw8GcIJUeUMdyXLznxnrbj8d3XNYEqfSA8ue4mFnFHCNz9wKve/eL9N+Y/I5LMP/GxAXiReWIVAHe8v5AxAAfOOe+MrNHgXTn3Bf884uyFN/Q3F3OuQwz6wgMN7Ms77n/cc5Fyz9G/hwX8I0ujHXO/b2gzDm3zcweA370Nj3qnNsWzOID6KiPC9CY6P15Af+OzR34pl1vx7cI8XLvGC0xsw/w/aE9CNwYRdOQR31czKwr8KiZHQCygOuK2O9SN+ApM3PAFOBG0N8Y8jkuBPFvjK6wKyIiIhFF00YiIiISURReREREJKIovIiIiEhEUXgRERGRiKLwIiIiIkfFzF43sy1mttiPfQeZr8HwQvM1dqyV47GaZva9mf3s7VO7oNdSeBEREZGj9Sb+93WaB6Q455oDHwFP53hsNPCMc64xvr5iBfbwU3gRkQKZ2TDztbdfamZ/2T/t7s/JY99u3vWHDveal5vZS2ZW1swyzMy87R3MzJlZde/rMma2zfK5hL+ZVTWzj/x4v935bO9nZk0O9/zCEmn1ihyOc24K8D/XuDGzumb2nZnNNbOp3kUzcc5Ncs5lervNwndlYryf6Tjn3Hhvv9059suTwouIFMg5d6PX56Q3sNo519K75fWPcDfgsOElx2vvwNc/p7G3qSO+T2fZr9EemOOcy8rn+Zudc/8vRB2Bfvg65AZFpNUrcpRGADc759rg64P0ch77XAV8691vAOwws0/M1wT0mewrO+dH4UUkgpjZA2a23Mymmdl7ZnanmQ00sx/NbIGZfWxmJbx938w5OpL9ad7MYszsZTNbZmbjzeyb7P3MrI35ugfPNbNxZlYlnzrKm9ln3tz1LDNr7s1RXwfc7o3MdDGzM81stvcHaYKZVc7j5WbwT1jpCDyX6+vp5uty+4z3fS40s2u9Ompnz7WbWQkz+8AbIfrUe9+UHDU/4R2jWWZW2Rsh6gM849Vb18xuyTEnP7aA/w+LvFEj80aOLvW2jzazHsGqN7/6RELFzJLw/d5+aL7O1MPxXbU35z4XAynAM96mOKALvqBzInA8cHlB76PwIhIhzOxE4GygBXAavl9+gE+ccyc651oAP+P7RFOQ/kBtfJ/gLwE6eK8fD7wInON9YnodeCKf13gEmOfNXd8HjHbOrQNeBZ7zRmamAtOA9l4Dt7HA3Xm81nT+CSvHAx/m+N464gs3VwE7nXMn4vvjNtB8PYhyugHY7pxrAjwAtMnxWElglneMpgADnXMz8PU0usurdzVwD9DK+76uy+d7z665E3ACvl4/XbztHYJcr0i4iQF25BihbemtYwHAzLrja+bYxzm3z9u8EZjvnFvjnDuIr59f68O9iYhEhk7A5865vc65XcCX3vam3rzyIuAifP+gFqQz8KFzLss59xu+rrEADYGmwHjvE9P9eHPS+bzGGADn3A9ABTMrncd+1YFxXm135VPbDKCj94/7OufcXsC8T3BtgNn4Gt9d6tU1G6iA11k9V01jvZoWAwtzPLYf+Mq7PxdfeMvLQuAd75PhwXz2AZgKdPVurwDNzKwavjCyJ4j1ioQV59yfwFozOxd8v8hm1sK73wrfSEwf51zOBbk/AmXNLNn7+mQO09BR4UUk8r0J3OSca4ZvRCTR234Q73fcfAteix3mdQxYkuPTUjPnXM9jrO1F4CWvtmtz1PY359xKoCxwJv90wZ4LXIEvzOz2ars5R211nHPfH0EdB3I0qTxE/k1pTweG4fvU96OZ5bffFHyjLV2Ayfg6U5+DL9QQxHpFQsrM3sP3e9vQzDaa2VX4PkRdZWYLgCVAX2/3Z4AkvCklM/sCwGuCeicw0fugY8DIgt5X4UUkckwHzjSzRG9U4gxveyngV2/a56Ic+6/jn6mIPkB8jtc521v7UhnfIluA5UCymf09jWRm+Y3iTM1+LzPrBvzhfeLa5dWTrQywybt/WQHf2yzgVv4JLzOB27xawddZ/Xrve8TMGphZyVyvMR04z3u8CdCsgPfL9ne9XsCr4ZybBPzLqz0pryc5534BKgL1nXNr8E2P3Ykv1ASlXpFw4Jy7wDlXxTkX75yr7pwb5Zxb65zr5Zxr4Zxr4px71Nu3u3Ouco5Q3yfH64x3zjX3PjRd7pzbX9D7KryIRAjn3I/41jwsxLdKfxGwE996idn4/jFcluMpI4FU79NPB2CPt/1jfHPMS4G3gZ/wrc/Yj2/04L/ec+aT/5lDDwNtzGwh8B/+CSZfAmdlL9j19vvQzOYCfxTw7U0HagDp3tcz8a1/meF9/ZpX70/egtfh/P/RiJfxha+lwOP4PvHtLOA9wTdtc5eZzcM3rfO298lvHjDUOxsqP7OBFd79qUA1fCEmKPVqwa4UZfbPyKSIhDszS3LO7TbfGUVTgGuccz8dw+tUAOYAnbz1LxHLfKdWxjvn9nr/sE8AGh7uE1yoRFq9IuFE86gikWWEN8WQCLx1NMHF85WZlcW3DuaxSA8unhLAJG+qxoAbwjwIRFq9ImFDIy8iIvkwsyvwrcXJabpz7sZQ1CMiPgovIiIiElG0YFdEREQiisKLiIiIRBSFFxEREYkoCi8iIiISURReREREJKL8H0mDLmLx6YrDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,6))\n",
    "ax = sns.lineplot(x='gaugeTotalWeights_weight', \n",
    "                  y='totalCrvRevenue', \n",
    "                  data=revenue_gauge_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "dfbc77fc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(6, 36)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>symbol</th>\n",
       "      <th>name</th>\n",
       "      <th>poolType</th>\n",
       "      <th>metapool</th>\n",
       "      <th>assetType</th>\n",
       "      <th>cumulativeVolumeUSD</th>\n",
       "      <th>volumeUSD</th>\n",
       "      <th>amountSoldUSD</th>\n",
       "      <th>amountBoughtUSD</th>\n",
       "      <th>address</th>\n",
       "      <th>...</th>\n",
       "      <th>pools_gauges_weights_weight</th>\n",
       "      <th>pools_gauges_weights_timestamp</th>\n",
       "      <th>pools_gauges_id</th>\n",
       "      <th>pools_gauges_created</th>\n",
       "      <th>pools_gauges_address</th>\n",
       "      <th>pools_gauges_weights_id</th>\n",
       "      <th>pools_gauges_pool_lpToken</th>\n",
       "      <th>gaugeTotalWeights_weight</th>\n",
       "      <th>gaugeTotalWeights_timestamp</th>\n",
       "      <th>gw_pc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>crv3crypto</td>\n",
       "      <td>Curve.fi USD-BTC-ETH</td>\n",
       "      <td>REGISTRY_V1</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>22,290,631,293</td>\n",
       "      <td>19,277,472</td>\n",
       "      <td>19,327,392</td>\n",
       "      <td>19,227,551</td>\n",
       "      <td>0xd51a44d3fae010294c616388b506acda1bfaae46</td>\n",
       "      <td>...</td>\n",
       "      <td>31,109,015</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168</td>\n",
       "      <td>1,626,881,865</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168</td>\n",
       "      <td>0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800</td>\n",
       "      <td>0xc4ad29ba4b3c580e6d59105fff484999997675ff</td>\n",
       "      <td>395,182,006,922,294,913,660,878,848</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>crvPlain3andSUSD</td>\n",
       "      <td>Curve.fi DAI/USDC/USDT/sUSD</td>\n",
       "      <td>LENDING</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>10,067,630,694</td>\n",
       "      <td>5,765,418</td>\n",
       "      <td>5,762,137</td>\n",
       "      <td>5,768,698</td>\n",
       "      <td>0xa5407eae9ba41422680e2e00537571bcc53efbfd</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3Crv</td>\n",
       "      <td>Curve.fi DAI/USDC/USDT</td>\n",
       "      <td>REGISTRY_V1</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>38,460,060,254</td>\n",
       "      <td>5,107,936</td>\n",
       "      <td>5,108,631</td>\n",
       "      <td>5,107,241</td>\n",
       "      <td>0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7</td>\n",
       "      <td>...</td>\n",
       "      <td>3,169,330</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a</td>\n",
       "      <td>1,600,032,637</td>\n",
       "      <td>0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a</td>\n",
       "      <td>0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a-1651708800</td>\n",
       "      <td>0x6c3f90f043a72fa612cbac8115ee7e52bde6e490</td>\n",
       "      <td>395,182,006,922,294,913,660,878,848</td>\n",
       "      <td>2022-05-05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ust3CRV</td>\n",
       "      <td>Curve.fi UST/3Crv</td>\n",
       "      <td>STABLE_FACTORY</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>7,709,245,100</td>\n",
       "      <td>3,731,936</td>\n",
       "      <td>3,733,093</td>\n",
       "      <td>3,730,778</td>\n",
       "      <td>0x890f4e345b1daed0367a877a1612f86a1f86985f</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MIM-3LP3CRV-f</td>\n",
       "      <td>Curve.fi Factory USD Metapool: Magic Internet Money 3Pool</td>\n",
       "      <td>METAPOOL_FACTORY</td>\n",
       "      <td>True</td>\n",
       "      <td>0</td>\n",
       "      <td>15,588,194,938</td>\n",
       "      <td>3,479,709</td>\n",
       "      <td>3,474,814</td>\n",
       "      <td>3,484,605</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>...</td>\n",
       "      <td>28,304,595</td>\n",
       "      <td>2022-05-12</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>1,628,711,942</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf</td>\n",
       "      <td>0xd8b712d29381748db89c36bca0138d7c75866ddf-1652313600</td>\n",
       "      <td>0x5a6a4d54456819380173272a5e8e9b9904bdf41b</td>\n",
       "      <td>393,094,748,211,824,552,929,394,688</td>\n",
       "      <td>2022-05-12</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             symbol  \\\n",
       "0        crv3crypto   \n",
       "1  crvPlain3andSUSD   \n",
       "2              3Crv   \n",
       "3           ust3CRV   \n",
       "4     MIM-3LP3CRV-f   \n",
       "\n",
       "                                                        name  \\\n",
       "0                                       Curve.fi USD-BTC-ETH   \n",
       "1                                Curve.fi DAI/USDC/USDT/sUSD   \n",
       "2                                     Curve.fi DAI/USDC/USDT   \n",
       "3                                          Curve.fi UST/3Crv   \n",
       "4  Curve.fi Factory USD Metapool: Magic Internet Money 3Pool   \n",
       "\n",
       "           poolType  metapool  assetType  cumulativeVolumeUSD  volumeUSD  \\\n",
       "0       REGISTRY_V1     False          4       22,290,631,293 19,277,472   \n",
       "1           LENDING     False          0       10,067,630,694  5,765,418   \n",
       "2       REGISTRY_V1     False          0       38,460,060,254  5,107,936   \n",
       "3    STABLE_FACTORY      True          3        7,709,245,100  3,731,936   \n",
       "4  METAPOOL_FACTORY      True          0       15,588,194,938  3,479,709   \n",
       "\n",
       "   amountSoldUSD  amountBoughtUSD                                     address  \\\n",
       "0     19,327,392       19,227,551  0xd51a44d3fae010294c616388b506acda1bfaae46   \n",
       "1      5,762,137        5,768,698  0xa5407eae9ba41422680e2e00537571bcc53efbfd   \n",
       "2      5,108,631        5,107,241  0xbebc44782c7db0a1a60cb6fe97d0b483032ff1c7   \n",
       "3      3,733,093        3,730,778  0x890f4e345b1daed0367a877a1612f86a1f86985f   \n",
       "4      3,474,814        3,484,605  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "\n",
       "   ... pools_gauges_weights_weight pools_gauges_weights_timestamp  \\\n",
       "0  ...                  31,109,015                     2022-05-05   \n",
       "1  ...                         NaN                            NaT   \n",
       "2  ...                   3,169,330                     2022-05-05   \n",
       "3  ...                         NaN                            NaT   \n",
       "4  ...                  28,304,595                     2022-05-12   \n",
       "\n",
       "                              pools_gauges_id pools_gauges_created  \\\n",
       "0  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168        1,626,881,865   \n",
       "1                                         NaN                  NaN   \n",
       "2  0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a        1,600,032,637   \n",
       "3                                         NaN                  NaN   \n",
       "4  0xd8b712d29381748db89c36bca0138d7c75866ddf        1,628,711,942   \n",
       "\n",
       "                         pools_gauges_address  \\\n",
       "0  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168   \n",
       "1                                         NaN   \n",
       "2  0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a   \n",
       "3                                         NaN   \n",
       "4  0xd8b712d29381748db89c36bca0138d7c75866ddf   \n",
       "\n",
       "                                 pools_gauges_weights_id  \\\n",
       "0  0xdefd8fdd20e0f34115c7018ccfb655796f6b2168-1651708800   \n",
       "1                                                    NaN   \n",
       "2  0xbfcf63294ad7105dea65aa58f8ae5be2d9d0952a-1651708800   \n",
       "3                                                    NaN   \n",
       "4  0xd8b712d29381748db89c36bca0138d7c75866ddf-1652313600   \n",
       "\n",
       "                    pools_gauges_pool_lpToken  \\\n",
       "0  0xc4ad29ba4b3c580e6d59105fff484999997675ff   \n",
       "1                                         NaN   \n",
       "2  0x6c3f90f043a72fa612cbac8115ee7e52bde6e490   \n",
       "3                                         NaN   \n",
       "4  0x5a6a4d54456819380173272a5e8e9b9904bdf41b   \n",
       "\n",
       "             gaugeTotalWeights_weight gaugeTotalWeights_timestamp  gw_pc  \n",
       "0 395,182,006,922,294,913,660,878,848                  2022-05-05      0  \n",
       "1                                 NaN                         NaT    NaN  \n",
       "2 395,182,006,922,294,913,660,878,848                  2022-05-05      0  \n",
       "3                                 NaN                         NaT    NaN  \n",
       "4 393,094,748,211,824,552,929,394,688                  2022-05-12      0  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merge per pool gauge weight df with total gauge weight df\n",
    "pool_all_collapsed=top_pools_vol_collapsed.merge(pool_rewards_df_collapsed, how='left', \n",
    "    left_on='lpToken', right_on='pools_crvRewards_poolid_lpToken').merge(pool_emissions_collapsed, \n",
    "    how='left', left_on='lpToken', right_on='pools_emissions_pool_lpToken').merge(\n",
    "    pool_gauges_collapsed, how='left', left_on='lpToken', right_on='pools_gauges_pool_lpToken')\n",
    "\n",
    "print(pool_all_collapsed.shape)\n",
    "pool_all_collapsed.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "47f4e653",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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