From 4fef134ecc94e6884a5e6ce5c6eb9ed78fc4d9fe Mon Sep 17 00:00:00 2001 From: Sushobhan Parajuli Date: Tue, 26 Nov 2024 22:40:31 -0500 Subject: [PATCH] Sushobhan/notebooks (#137) In this PR, we got rid of the progress bar in Jupyter notebooks. --------- Co-authored-by: sp3886 --- notebooks/dvc.lock | 24 +- notebooks/mind-small.ipynb | 1231 ++-------------------------------- notebooks/mind-small.md | 10 +- notebooks/mind-subset.ipynb | 1267 +++-------------------------------- notebooks/mind-subset.md | 10 +- notebooks/mind-val.ipynb | 1225 ++------------------------------- notebooks/mind-val.md | 10 +- 7 files changed, 231 insertions(+), 3546 deletions(-) diff --git a/notebooks/dvc.lock b/notebooks/dvc.lock index 157a26fc..4355ddef 100644 --- a/notebooks/dvc.lock +++ b/notebooks/dvc.lock @@ -9,13 +9,13 @@ stages: size: 34022756 - path: mind-val.md hash: md5 - md5: 98da8d4dc5035ce161aa00570d4a57d7 - size: 3904 + md5: 386c3b5588f70d8a845b0faaa52c4859 + size: 3758 outs: - path: mind-val.ipynb hash: md5 - md5: 2b88e611840bc5cecf8514974c130261 - size: 238860 + md5: 4f455a947e02d17f65891628a6528c75 + size: 180580 results-mind-small: cmd: jupytext --to notebook --execute mind-small.md deps: @@ -25,13 +25,13 @@ stages: size: 6610049 - path: mind-small.md hash: md5 - md5: 66e2d75efa9fb3796da73ef92bcc066f - size: 3920 + md5: 170f50dd7278beff3c040fed5ded0074 + size: 3774 outs: - path: mind-small.ipynb hash: md5 - md5: 73e42e9837a4f7062cd6d80e95743207 - size: 240522 + md5: 005446bda1bdd11ecf7774229b0eb970 + size: 182164 results-mind-subset: cmd: jupytext --to notebook --execute mind-subset.md deps: @@ -41,10 +41,10 @@ stages: size: 90985 - path: mind-subset.md hash: md5 - md5: 3694cb25f775afee76bc3eaf2729c4ec - size: 3928 + md5: fd56e0a68ae9edd86be8a2a0fda2b78d + size: 3782 outs: - path: mind-subset.ipynb hash: md5 - md5: 5279703b4407243495a8756ba258b75e - size: 236731 + md5: 092a19124e7bf3f3f0e336d75d112284 + size: 178521 diff --git a/notebooks/mind-small.ipynb b/notebooks/mind-small.ipynb index 37292e17..f01aab99 100644 --- a/notebooks/mind-small.ipynb +++ b/notebooks/mind-small.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "d3cdb14d", + "id": "49f83816", "metadata": {}, "source": [ "# Offline Evaluation Metrics Visualizations\n", @@ -13,7 +13,7 @@ }, { "cell_type": "markdown", - "id": "ec148553", + "id": "15bbe743", "metadata": {}, "source": [ "## 1. Setup" @@ -21,7 +21,7 @@ }, { "cell_type": "markdown", - "id": "5ff73481", + "id": "e526fae6", "metadata": {}, "source": [ "### 1. 1 Importing Libraries" @@ -29,7 +29,7 @@ }, { "cell_type": "markdown", - "id": "e7c4ba15", + "id": "baf00142", "metadata": {}, "source": [ "PyData packages:" @@ -38,13 +38,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "cb208c1a", + "id": "950e5ec0", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:28:24.575739Z", - "iopub.status.busy": "2024-11-26T21:28:24.575577Z", - "iopub.status.idle": "2024-11-26T21:28:25.477440Z", - "shell.execute_reply": "2024-11-26T21:28:25.476583Z" + "iopub.execute_input": "2024-11-27T02:14:52.312331Z", + "iopub.status.busy": "2024-11-27T02:14:52.312160Z", + "iopub.status.idle": "2024-11-27T02:14:54.935247Z", + "shell.execute_reply": "2024-11-27T02:14:54.934360Z" } }, "outputs": [], @@ -57,7 +57,7 @@ }, { "cell_type": "markdown", - "id": "938bd0a6", + "id": "ac163d87", "metadata": {}, "source": [ "Local code:" @@ -66,13 +66,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "7e6530c2", + "id": "10e94ada", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:28:25.480325Z", - "iopub.status.busy": "2024-11-26T21:28:25.480066Z", - "iopub.status.idle": "2024-11-26T21:28:25.484823Z", - "shell.execute_reply": "2024-11-26T21:28:25.484212Z" + "iopub.execute_input": "2024-11-27T02:14:54.938054Z", + "iopub.status.busy": "2024-11-27T02:14:54.937798Z", + "iopub.status.idle": "2024-11-27T02:14:54.942538Z", + "shell.execute_reply": "2024-11-27T02:14:54.941920Z" } }, "outputs": [], @@ -84,41 +84,7 @@ }, { "cell_type": "markdown", - "id": "3f7943fc", - "metadata": {}, - "source": [ - "Set up progress:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e217cc9", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-26T21:28:25.487017Z", - "iopub.status.busy": "2024-11-26T21:28:25.486861Z", - "iopub.status.idle": "2024-11-26T21:28:25.494022Z", - "shell.execute_reply": "2024-11-26T21:28:25.493403Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_361739/2439040576.py:1: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from tqdm.autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], - "source": [ - "from tqdm.autonotebook import tqdm as notebook_tqdm" - ] - }, - { - "cell_type": "markdown", - "id": "6c25f1f1", + "id": "911836ff", "metadata": {}, "source": [ "### 1. 2 Loading Data" @@ -126,14 +92,14 @@ }, { "cell_type": "code", - "execution_count": 4, - "id": "2c81019e", + "execution_count": 3, + "id": "d5b714c6", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:28:25.495840Z", - "iopub.status.busy": "2024-11-26T21:28:25.495494Z", - "iopub.status.idle": "2024-11-26T21:28:26.026550Z", - "shell.execute_reply": "2024-11-26T21:28:26.025800Z" + "iopub.execute_input": "2024-11-27T02:14:54.944756Z", + "iopub.status.busy": "2024-11-27T02:14:54.944595Z", + "iopub.status.idle": "2024-11-27T02:14:55.472026Z", + "shell.execute_reply": "2024-11-27T02:14:55.471306Z" } }, "outputs": [ @@ -250,7 +216,7 @@ "4 True 0.215338 0.373071 0.2 0.409510 0.651322 " ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -262,14 +228,14 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "564f5179", + "execution_count": 4, + "id": "58a8074c", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:28:26.028291Z", - "iopub.status.busy": "2024-11-26T21:28:26.028102Z", - "iopub.status.idle": "2024-11-26T21:28:26.031227Z", - "shell.execute_reply": "2024-11-26T21:28:26.030637Z" + "iopub.execute_input": "2024-11-27T02:14:55.473747Z", + "iopub.status.busy": "2024-11-27T02:14:55.473565Z", + "iopub.status.idle": "2024-11-27T02:14:55.476592Z", + "shell.execute_reply": "2024-11-27T02:14:55.475974Z" } }, "outputs": [], @@ -280,7 +246,7 @@ }, { "cell_type": "markdown", - "id": "6c609d20", + "id": "a778cfb6", "metadata": {}, "source": [ "## 2. Results" @@ -288,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "750e1676", + "id": "82d97321", "metadata": {}, "source": [ "### 2. 1 Effectiveness Metrics\n", @@ -297,20 +263,20 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "a0df5219", + "execution_count": 5, + "id": "70ebe4cd", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:28:26.033018Z", - "iopub.status.busy": "2024-11-26T21:28:26.032868Z", - "iopub.status.idle": "2024-11-26T21:28:37.163634Z", - "shell.execute_reply": "2024-11-26T21:28:37.162895Z" + "iopub.execute_input": "2024-11-27T02:14:55.478322Z", + "iopub.status.busy": "2024-11-27T02:14:55.478158Z", + "iopub.status.idle": "2024-11-27T02:15:06.421981Z", + "shell.execute_reply": "2024-11-27T02:15:06.421184Z" } }, "outputs": [ { "data": { - "image/png": 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sGBITEzF+/HgAQGFhIUQEZmZm2L17N3r37l0ptRMR6VJwcDBGjhwJNzc3uLu7Y82aNUhNTUVgYCCAB1cOXb58GZs3bwYArFy5Es2bN4eTkxOAB89lX7x4MSZMmKDsc9KkSejVqxcWLVqEgQMHIiYmBnv27MGBAwcq/wCJqNphw05EZGSKn0UaPHiwMj8uLg4DBw7UWN/KygonT55UmxceHo6ffvoJ33zzjXIpKBGRsfP19UVmZibmzp2LtLQ0ODs7IzY2Fvb29gCAtLQ0tadpFBYWIiQkBBcuXICZmRlatWqFDz/8EGPGjFHW6dmzJ7766ivMnDkT77//Plq1aoXo6Gh079690o+PiKofNuxEREaoPGeRTExM4OzsrLZ948aNYWlpqTGfiMjYBQUFISgoqMRlkZGRatMTJkxQO5temiFDhmDIkCHaKI+IqFzYsBMRGaHynkUiIiIiIuPDhp2IyEiV5yzSw2bPno3Zs2drvygiIiIi0hqOEk9ERERERERkgNiwExERERERERkgNuxEREREREREBogNOxEREREREZEBYsNOREREREREZIDYsBMREREREREZIL037OHh4XBwcIClpSVcXV0RHx9f6roHDhyAh4cHGjRogJo1a8LJyQlLly6txGqJiIiIiIiIKoden8MeHR2NyZMnIzw8HB4eHli9ejX69euH5ORkNG/eXGP92rVrY/z48ejUqRNq166NAwcOYMyYMahduzZGjx6thyMgIiIiIiIi0g29nmFfsmQJ/P39ERAQgHbt2iEsLAx2dnaIiIgocX0XFxcMGzYMHTp0QIsWLTBixAj07dv3kWfliYiIiIiIiIyR3hr2vLw8JCQkwMfHR22+j48PDh06VKZ9JCYm4tChQ/Dy8ip1ndzcXGRlZam9iIiIiIiIiAyd3hr2jIwMFBQUwMbGRm2+jY0N0tPTH7lts2bNYGFhATc3N4wbNw4BAQGlrhsaGgpra2vlZWdnp5X6iYiIiIiIiHRJ74POqVQqtWkR0Zj3sPj4eBw7dgyrVq1CWFgYoqKiSl03JCQEt27dUl6XLl3SSt1EREREREREuqS3QecaNmwIU1NTjbPp165d0zjr/jAHBwcAQMeOHXH16lXMnj0bw4YNK3FdCwsLWFhYaKdoIiIiIiIiokqitzPs5ubmcHV1RVxcnNr8uLg49OzZs8z7ERHk5uZquzwiIiIiIiIivdLrY92Cg4MxcuRIuLm5wd3dHWvWrEFqaioCAwMBPLic/fLly9i8eTMAYOXKlWjevDmcnJwAPHgu++LFizFhwgS9HQMRERERERGRLui1Yff19UVmZibmzp2LtLQ0ODs7IzY2Fvb29gCAtLQ0pKamKusXFhYiJCQEFy5cgJmZGVq1aoUPP/wQY8aM0dchEBEREREREemE3gedCwoKwsWLF5Gbm4uEhAT06tVLWRYZGYl9+/Yp0xMmTMAff/yBnJwc3Lp1C8ePH8fYsWNhYqL3wyAiIiIiAxAeHg4HBwdYWlrC1dUV8fHxpa67bds2eHt7o1GjRrCysoK7uzt27dqltk5kZCRUKpXG6969e7o+FCIi/TfsRERERETaEB0djcmTJ2PGjBlITEyEp6cn+vXrp3bFZnH79++Ht7c3YmNjkZCQgOeeew4DBgxAYmKi2npWVlZIS0tTe1laWlbGIRFRNafXS+KJiIiIiLRlyZIl8Pf3R0BAAAAgLCwMu3btQkREBEJDQzXWDwsLU5teuHAhYmJisGPHDri4uCjzVSoVmjRpotPaiYhKwjPsRESV7O+//8avv/6K3377DX///be+yyEiqhLy8vKQkJAAHx8ftfk+Pj44dOhQmfZRWFiI27dvo379+mrzs7OzYW9vj2bNmuGll17SOAP/sNzcXGRlZam9iIgqgg07EVElWbp0Kezs7NCyZUu4u7ujR48eaNmyJezs7DTO8hARUflkZGSgoKAANjY2avNtbGyQnp5epn188sknyMnJwdChQ5V5Tk5OiIyMxHfffYeoqChYWlrCw8MDZ8+eLXU/oaGhsLa2Vl52dnYVOygiqvZ4STwRUSWYN28eFi9ejOnTp6Nv376wsbGBiODatWvYtWsXZs+ejezsbMycOVPfpRIRGTWVSqU2LSIa80oSFRWF2bNnIyYmBo0bN1bm9+jRAz169FCmPTw80KVLF6xYsQLLly8vcV8hISEIDg5WprOysti0E1GFsGEnIqoEa9aswaZNmzBo0CC1+U2bNkXnzp3Rtm1bjB8/ng07EVEFNWzYEKamphpn069du6Zx1v1h0dHR8Pf3x5YtW/D8888/cl0TExN07dr1kWfYLSwsYGFhUfbiiYhKwUviiYgqQWZmJhwdHUtd3rZtW/z777+VWBERUdVibm4OV1dXxMXFqc2Pi4tDz549S90uKioKb775Jr788ku8+OKLj30fEUFSUhJsbW2fuGYiosfRWsN+/fp13L9/X1u7IyKqUrp164YFCxYgPz9fY1l+fj4WLlyIbt266aEyIqKqIzg4GOvWrcOGDRuQkpKCKVOmIDU1FYGBgQAeXKru5+enrB8VFQU/Pz988skn6NGjB9LT05Geno5bt24p68yZMwe7du3C+fPnkZSUBH9/fyQlJSn7JCLSpXJfEr9mzRqMGjUKFhYWEBGEhobi448/RlZWFiwtLTFmzBgsXrwYJiY8eU9EVGTFihXw8fFB48aN4eXlBRsbG6hUKqSnp2P//v2wsLDQOCtERETl4+vri8zMTMydOxdpaWlwdnZGbGws7O3tAQBpaWlqz2RfvXo18vPzMW7cOIwbN06ZP2rUKERGRgIAbt68idGjRyM9PR3W1tZwcXHB/v37+SErEVWKcjfsY8eOxaBBg9C4cWOsWbMGCxcuxNy5c9GjRw8cP34cM2fORMuWLTF+/Hhd1EtEZJQ6duyIM2fO4PPPP8eRI0dw4cIFAECTJk2wYMECDB8+HFZWVnqukojI+AUFBSEoKKjEZUVNeJF9+/Y9dn9Lly7F0qVLtVAZEVH5lbthFxHl/9evX4958+ZhypQpAICePXvC0tISK1asYMNORPSQunXrYuzYsRg7dqy+SyEiIiIiI1Ch69aLHo1x4cIF9OnTR21Z7969cf78+SevjIioGrl//77aZZpERERERBV6rNvOnTthbW2NmjVr4u7du2rL7t69y/vXiYjKKTk5GV26dEFBQYG+SyEiIiIiA1Ghhn3UqFHK/+/duxfdu3dXpg8fPoxWrVo9eWVERERERERE1Vi5G/bCwsJHLm/SpAlCQ0MrXBARUVXUpUuXRy5/+GolIiIiIqIKnWF/lJdeeknbuyQiMnrJycl4/fXX4eDgUOLytLQ0nDlzplz7DA8Px8cff4y0tDR06NABYWFh8PT0LHHdAwcO4L333sOpU6dw584d2NvbY8yYMcqgoURERERkeJ6oYf/nn38QGxuLf//9F61atcLLL78Mc3NzbdVGRFRlODs7o3v37qWOEJ+UlIS1a9eWeX/R0dGYPHkywsPD4eHhgdWrV6Nfv35ITk5G8+bNNdavXbs2xo8fj06dOqF27do4cOAAxowZg9q1a2P06NEVPi4iIiIi0p0Kjw4XEhKCrl274sCBA7hx4wbWrVuHjh07cpRjIqIS/Oc//8Hp06dLXV63bl306tWrzPtbsmQJ/P39ERAQgHbt2iEsLAx2dnaIiIgocX0XFxcMGzYMHTp0QIsWLTBixAj07dsX8fHx5T4WIiIiIqocFTrDHhAQgCtXriA5ORlPPfWUMj88PByBgYGIjY3FTz/9hN69e2utUCIiYxYWFvbI5a1atcLPP/9cpn3l5eUhISEB06ZNU5vv4+ODQ4cOlWkfiYmJOHToEObPn1/qOrm5ucjNzVWms7KyyrRvIiIiItKOcjfse/fuxZ49e5CcnIzly5cjLy9PWXb//n3s2bMHd+7cwYwZMzBx4kQMGzZMqwUTEVV3GRkZKCgogI2Njdp8GxsbpKenP3LbZs2a4fr168jPz8fs2bMREBBQ6rqhoaGYM2eOVmomIiIiovIrd8O+Zs0aTJw4EbVq1UJGRgaWL18OLy8v1KlTB7t27YKvry/y8/Mxc+ZMzJo1iw07EdFDtDX+h0qlUpsWEY15D4uPj0d2djaOHDmCadOmoXXr1qXmdEhICIKDg5XprKws2NnZlbtOIiIiIqqYct/DfuzYMWUU4rS0NHz00UeIi4vD9u3bsXv3bpw4cQJWVlbo06cPkpKSkJ2drfWiiYiMlTbG/2jYsCFMTU01zqZfu3ZN46z7wxwcHNCxY0e8/fbbmDJlCmbPnl3quhYWFrCyslJ7EREREVHlKXfDnpWVBUtLSwAPLo/v06ePsszDwwOnTp1CWloaLC0tYWZmhps3b2qtWCIiYxYQEIATJ04gOTkZmzdvxqJFi7Bz505MmjQJgYGBAICffvrpsfsxNzeHq6sr4uLi1ObHxcWhZ8+eZa5HRNTuUSciIiIiw1LuS+KbNWuGCxcuoGPHjnBwcMDXX3+Njh07AgC2b98OCwsL2NjY4Nq1aygsLESjRo20XjQRkbHR9vgfwcHBGDlyJNzc3ODu7o41a9YgNTVVafxDQkJw+fJlbN68GQCwcuVKNG/eHE5OTgAePJd98eLFmDBhgo6OmIiIiIieVLkb9hdeeAHR0dF4+eWXsWTJEgwcOBBbtmxBrVq1cObMGaxevRomJibYvn07evToAQsLC13UTURkVLQ9/oevry8yMzMxd+5cpKWlwdnZGbGxsbC3twfw4Jal4pfZFxYWIiQkBBcuXICZmRlatWqFDz/8EGPGjNHpcRMRERFRxZW7YR8/fjw6dOiAo0ePwt3dHefOncPBgweRl5eHbt26wdbWFhkZGZg3bx7WrFmji5qJiIzOsWPH8M477wD4v/E/Jk+eDODB2e6goCBl/I+BAwciOzsbderUeeQ+g4KCEBQUVOKyyMhItekJEybwbDoRERGRkSn3PexPP/00wsPDMXDgQMTFxcHKygr9+vXDwIEDYWtri9OnT6NPnz4YPHgw+vfvr4uaiYiMDsf/ICIiIqLyKvcZdgAYPnw46tWrh9GjR6NRo0bo2bMnLC0tceLECRw9ehTTpk1TziQRERHH/yAiIiKi8qtQww4A/fv3x9mzZ/HLL7/g999/R35+PkaPHo2vv/4adevW1WaNRERGj+N/EBEREVF5lfuS+OLMzMzQp08fTJkyBVOnTsXgwYPZrBMRlWD8+PH44Ycf1Mb/WLp0KWbNmoWzZ8/ijTfeUMb/mDZtmr7LJSIyCNu2bUOnTp3KtU14eDgcHBxgaWkJV1dXxMfHP3L/3t7eaNSoEaysrODu7o5du3ZprLd161a0b98eFhYWaN++PbZv317uYyEiqohyN+yFhYU4efKkMr1q1SosX75cea1cuRKFhYVaLZKIyNhx/A8iopKtXbsWr732GoYPH45ff/0VAPDTTz/BxcUFI0aMgLu7e5n3FR0djcmTJ2PGjBlITEyEp6cn+vXrp/bUjOL2798Pb29vxMbGIiEhAc899xwGDBiAxMREZZ3Dhw/D19cXI0eOxIkTJzBy5EgMHTpUqZWISJfKfUn8V199hdWrV+OXX34BAEydOhX16tWDmdmDXWVkZMDS0hL+/v7arZSIyMhx/A8iInWLFy/G9OnT0alTJ6SkpCAmJgYzZszAkiVLMGHCBIwbNw4NGzYs8/6WLFkCf39/BAQEAADCwsKwa9cuREREIDQ0VGP9sLAwtemFCxciJiYGO3bsgIuLi7KOt7c3QkJCAAAhISH45ZdfEBYWhqioqBLryM3NRW5urjKdlZVV5mMgIiqu3GfYN27ciMDAQLV5v/zyCy5cuIALFy7g448/xueff661AomIqpKi8T9CQ0Nhb2+PBg0aYPTo0bhw4QKbdSKqdtavX49Vq1bh2LFj+OGHH3D37l389NNPOHfuHGbNmlWuZj0vLw8JCQnw8fFRm+/j44NDhw6VaR+FhYW4ffs26tevr8w7fPiwxj779u37yH2GhobC2tpaednZ2ZX5OIiIiiv3GfaUlBS0b9++1OVeXl6YPn36ExVFRFSVFY3/UfzRbkRE1dHff/+N559/HgDw7LPPokaNGliwYAHq1atX7n1lZGSgoKAANjY2avNtbGyQnp5epn188sknyMnJwdChQ5V56enp5d5nSEgIgoODlemsrCw27URUIeVu2DMyMlCnTh1l+vz582jQoIEyXaNGDeTk5GinOiKiKqKwsBB//vmn8ii3VatWIS8vT1luamqKsWPHwsTkicYCJSIyKvfu3YOlpaUybW5u/sSPtVSpVGrTIqIxryRRUVGYPXs2YmJi0Lhx4yfap4WFBZ/2QURaUe6G3cbGBqdPn0arVq0AQCNUU1JS0KRJE+1UR0RURXD8DyKikq1bt045GZSfn4/IyEiNS+EnTpz42P00bNgQpqamGme+r127pnGG/GHR0dHw9/fHli1blDP+RZo0aVKhfRIRaUO5G/Y+ffpgwYIFJY5iLCIIDQ3lZZ5ERA8pbfyPli1bAnhwxv3zzz9nw05E1Urz5s2xdu1aZbpJkyb47LPP1NZRqVRlatjNzc3h6uqKuLg4DB48WJkfFxeHgQMHlrpdVFQU/vvf/yIqKgovvviixnJ3d3fExcVhypQpyrzdu3ejZ8+ej62JiOhJlbthnzFjBrp06YLu3bvjnXfeQdu2baFSqXDq1CksXrwYp0+fxubNm3VRKxGR0eL4H0REmi5evPjYdS5fvlzm/QUHB2PkyJFwc3ODu7s71qxZg9TUVOUD05CQEFy+fFn5WzUqKgp+fn5YtmwZevTooZxJr1mzJqytrQEAkyZNQq9evbBo0SIMHDgQMTEx2LNnDw4cOFDOoyUiKr9y3yzZqlUrxMXF4fbt2/D19UWXLl3g4uKC119/HdnZ2di9ezdat26ti1qJiIxWSeN/tGjRQpnm+B9EROrS09MxceLEcv1d6evri7CwMMydOxedO3fG/v37ERsbC3t7ewBAWlqa2jPZV69ejfz8fIwbNw62trbKa9KkSco6PXv2xFdffYWNGzeiU6dOiIyMRHR0NLp37669gyUiKkW5z7ADQLdu3ZCcnIykpCScOXMGANCmTRvleZVERKSO438QEWm6efMmxo0bh927d6NGjRqYNm0axo8fj9mzZ2Px4sXo0KEDNmzYUK59BgUFISgoqMRlkZGRatP79u0r0z6HDBmCIUOGlKsOIiJtqFDDnpWVhTp16qBz587o3LmzMr+wsBDZ2dmwsrLSVn1ERFUCx/8gItI0ffp07N+/H6NGjcLOnTsxZcoU7Ny5E/fu3cOPP/4ILy8vfZdIRKRX5b4kfvv27XBzc8O9e/c0lt27dw9du3bFjh07tFIcEVFVMWPGDPzxxx/o3r07tmzZghMnTuD333/H119/je7du+PPP//kPexEVO388MMP2LhxIxYvXozvvvsOIoK2bdvip59+YrNORIQKNOwRERF49913UatWLY1ltWrVwnvvvYdPP/20zPsLDw+Hg4MDLC0t4erqivj4+FLX3bZtG7y9vdGoUSNYWVnB3d0du3btKu8hEBFVOo7/QUSk6cqVK8qAnC1btoSlpSUCAgL0XBURkeEod8P+xx9/4Nlnny11ea9evXDy5Mky7Ss6OhqTJ0/GjBkzkJiYCE9PT/Tr109tMJDi9u/fD29vb8TGxiIhIQHPPfccBgwYgMTExPIeBhFRpSsa/+P48eOIiopCVFQUEhISkJyczMGLiKhaKiwsRI0aNZRpU1NT1K5dW48VEREZlnLfw/7vv/8iPz+/1OX379/Hv//+W6Z9LVmyBP7+/sonqWFhYdi1axciIiIQGhqqsX5YWJja9MKFCxETE4MdO3aUOuBdbm4ucnNzlemsrKwy1UZEpG0c/4OISJ2I4M0334SFhQWAB7dXBgYGajTt27Zt00d5RER6V+4z7C1atMCxY8dKXX7s2DHl0RmPkpeXh4SEBPj4+KjN9/HxwaFDh8pUS2FhIW7fvo369euXuk5oaCisra2Vl52dXZn2TUSkTRz/g4hI06hRo9C4cWPl77QRI0agadOman+7FT0PnYioOir3GfZXXnkFM2bMgLe3N2xsbNSWpaenY+bMmRgxYsRj95ORkYGCggKNfdjY2CA9Pb1MtXzyySfIycnB0KFDS10nJCQEwcHBynRWVhabdiKqdGUd/2PAgAF6qI6ISD82btyo7xKIiAxauRv2adOmISYmBm3atMGIESPg6OgIlUqFlJQUfPHFF7Czs8O0adPKvD+VSqU2LSIa80oSFRWF2bNnIyYmBo0bNy51PQsLC+UyKyIiffnjjz8QHh5e6vJevXph5syZlVgRERERERm6cjfsdevWxcGDBxESEoLo6GjlfvWnnnoKI0aMwMKFC1G3bt3H7qdhw4YwNTXVOJt+7do1jbPuD4uOjoa/vz+2bNmC559/vryHQERU6bQ5/gcRERERVQ/lvocdAKytrREeHo6MjAxcvXoV6enpyMjIQHh4OOrVq1emfZibm8PV1RVxcXFq8+Pi4tCzZ89St4uKisKbb76JL7/8Ei+++GJFyiciqnTaGv+DiIiIiKqPCjXsRTIzM/H333/j0qVLuHHjRrm3Dw4Oxrp167BhwwakpKRgypQpSE1NRWBgIIAH95/7+fkp60dFRcHPzw+ffPIJevTogfT0dKSnp+PWrVtPchhERDpXNP7H1atXNZYVjf/x6quv6qEyIiIiIjJU5b4kHgD+/PNPjB07FgcPHlSb7+XlhYiICDg6OpZpP76+vsjMzMTcuXORlpYGZ2dnxMbGKmeZ0tLS1J7Jvnr1auTn52PcuHEYN26cMn/UqFGIjIysyKEQEVUKbY//QURERERVX7kb9vT0dHh5eaFRo0ZYsmQJnJycICJITk7G2rVr4enpiT/++OORA8EVFxQUhKCgoBKXPdyE79u3r7zlEhEZBG2N/0FERERE1Ue5G/alS5fC3t4eBw8ehKWlpTL/hRdewNixY/Gf//wHS5cuRWhoqFYLJSIydkXjf6xcuRIZGRkQETRq1KhMT8YgIiIiouqn3Pewx8XF4b333lNr1ovUrFkTU6dOxa5du7RSHBFRVfSk438QERERUfVQ7ob9/Pnz6NKlS6nL3dzccP78+ScqioioKvrzzz/Rq1cv2NjYoHv37ujWrRsaN26M3r174/Tp0/ouj4iIiIgMTLkvib99+zasrKxKXV63bl1kZ2c/UVFERFWNtsf/ICIiIqKqr0KjxN++fbvES+IBICsrCyLyREUREVU1HP+DiIiIiMqr3JfEiwjatm2Lp556qsRXWR/pRkRUnXD8DyKiyhEeHg4HBwdYWlrC1dUV8fHxpa6blpaG4cOHw9HRESYmJpg8ebLGOpGRkVCpVBqve/fu6fAoiIgeKPcZ9p9//lkXdRARVWm6GP8jPDwcH3/8MdLS0tChQweEhYXB09OzxHW3bduGiIgIJCUlITc3Fx06dMDs2bPRt2/fcr0nEZEhi46OxuTJkxEeHg4PDw+sXr0a/fr1Q3JyMpo3b66xfm5uLho1aoQZM2Zg6dKlpe7XyspKY6yR0q42JSLSpnI37F5eXrqog4ioStP2+B/l/aN0//798Pb2xsKFC1GvXj1s3LgRAwYMwK+//goXF5cKHRMRkaFZsmQJ/P39ERAQAAAICwvDrl27EBERUeItRy1atMCyZcsAABs2bCh1vyqVCk2aNNFN0UREj1Duht3ExOSxzwxWqVTIz8+vcFFERFWRNsf/KO8fpWFhYWrTCxcuRExMDHbs2MGGnYiqhLy8PCQkJGDatGlq8318fHDo0KEn2nd2djbs7e1RUFCAzp07Y968eY/MztzcXOTm5irTWVlZT/T+RFR9lbth3759e6nLDh06hBUrVnDQOSKihxSN//Go5Y/7MLSINv4oLSwsxO3bt1G/fv1S1+EfnERkTDIyMlBQUAAbGxu1+TY2NkhPT6/wfp2cnBAZGYmOHTsiKysLy5Ytg4eHB06cOIE2bdqUuE1oaCjmzJlT4fckIipS7oZ94MCBGvNOnTqFkJAQ7NixA2+88QbmzZunleKIiKoKbY7/oY0/Sj/55BPk5ORg6NChpa7DPziJyBg9/OFneT4QLUmPHj3Qo0cPZdrDwwNdunTBihUrsHz58hK3CQkJQXBwsDKdlZUFOzu7CtdARNVXhR7rVuTKlSuYNWsWNm3ahL59+yIpKQnOzs7aqo2IqMrQxfgfFf2jNCoqCrNnz0ZMTMwjn/vOPziJyJg0bNgQpqamGh9cXrt2TeMDzidhYmKCrl274uzZs6WuY2FhAQsLC629JxFVX+V+rBsA3Lp1C++99x5at26NP//8E3v37sWOHTvYrBMRlcLExASmpqaPfJmZle0z1Cf5ozQ6Ohr+/v74+uuv8fzzzz9yXQsLC1hZWam9iIgMlbm5OVxdXREXF6c2Py4uDj179tTa+4gIkpKSYGtrq7V9EhGVptxn2D/66CMsWrQITZo0QVRUVImXyBMRkTptjv9R/I/SwYMHK/Pj4uIemclRUVH473//i6ioKLz44otlL56IyEgEBwdj5MiRcHNzg7u7O9asWYPU1FQEBgYCeHDl0OXLl7F582Zlm6SkJAAPBpa7fv06kpKSYG5ujvbt2wMA5syZgx49eqBNmzbIysrC8uXLkZSUhJUrV1b68RFR9VPuhn3atGmoWbMmWrdujU2bNmHTpk0lrrdt27YnLo6IqKrQ9vgf5f2jNCoqCn5+fli2bBl69OihnJ2vWbMmrK2ttXCERET65+vri8zMTMydOxdpaWlwdnZGbGws7O3tAQBpaWlITU1V26b4aO8JCQn48ssvYW9vj4sXLwIAbt68idGjRyM9PR3W1tZwcXHB/v370a1bt0o7LiKqvsrdsPv5+T3RwB1ERNWdNsb/KO8fpatXr0Z+fj7GjRuHcePGKfNHjRqFyMhIrRwXEZEhCAoKQlBQUInLSsq7x13dtHTpUixdulQbpRERlVu5G3b+YUdEVDG3bt3CwoULsWLFCnTu3Bl79+6Fp6dnhfdXnj9K9+3bV+H3ISIiIiL9eKJR4omIqGw4/gcRERERlRcbdiKiSsDxP4iIiIiovNiwExFVAo7/QURERETlxYadiKgScPwPIiIiIiovE30XQERERERERESa2LATERERERERGSA27EREREREREQGiA07ERERERERkQFiw05ERERERERkgNiwExERERERERkgNuxEREREREREBogNOxEREREREZEBYsNOREREREREZIDYsBMREREREREZIDbsRERERERERAaIDTsRERERERGRAWLDTkRERERERGSA2LATERERERERGSA27ERERERUZYSHh8PBwQGWlpZwdXVFfHx8qeumpaVh+PDhcHR0hImJCSZPnlzielu3bkX79u1hYWGB9u3bY/v27TqqnohIHRt2IiIiIqoSoqOjMXnyZMyYMQOJiYnw9PREv379kJqaWuL6ubm5aNSoEWbMmIFnnnmmxHUOHz4MX19fjBw5EidOnMDIkSMxdOhQ/Prrr7o8FCIiAGzYiYiIiKiKWLJkCfz9/REQEIB27dohLCwMdnZ2iIiIKHH9Fi1aYNmyZfDz84O1tXWJ64SFhcHb2xshISFwcnJCSEgI+vTpg7CwsFLryM3NRVZWltqLiKgi2LATERERkdHLy8tDQkICfHx81Ob7+Pjg0KFDFd7v4cOHNfbZt2/fR+4zNDQU1tbWysvOzq7C709E1RsbdiIiIiIyehkZGSgoKICNjY3afBsbG6Snp1d4v+np6eXeZ0hICG7duqW8Ll26VOH3J6LqzUzfBRARERERaYtKpVKbFhGNebrep4WFBSwsLJ7oPYmIAAM4w66LkTyJiIiIqHpp2LAhTE1NNc58X7t2TeMMeXk0adJE6/skIiorvTbsuhjJk4iIiIiqH3Nzc7i6uiIuLk5tflxcHHr27Fnh/bq7u2vsc/fu3U+0TyKistLrJfHFR/IEHozCuWvXLkRERCA0NFRj/aKRPAFgw4YNlVorERERERm24OBgjBw5Em5ubnB3d8eaNWuQmpqKwMBAAA/uLb98+TI2b96sbJOUlAQAyM7OxvXr15GUlARzc3O0b98eADBp0iT06tULixYtwsCBAxETE4M9e/bgwIEDlX58RFT96K1hLxrJc9q0aWrzn3Qkz4fl5uYiNzdXmeZjNYiIiIiqJl9fX2RmZmLu3LlIS0uDs7MzYmNjYW9vD+DB7ZUPX8np4uKi/H9CQgK+/PJL2Nvb4+LFiwCAnj174quvvsLMmTPx/vvvo1WrVoiOjkb37t0r7biIqPrSW8Ouq5E8HxYaGoo5c+ZobX9EREREZLiCgoIQFBRU4rLIyEiNeSLy2H0OGTIEQ4YMedLSiIjKTe+DzuliJM/i+FgNIiIiIiIiMkZ6O8Ouq5E8H8bHahAREREREZEx0tsZdl2N5ElERERERERUFeh1lHhdjORJREREREREVBXo9R52X19fhIWFYe7cuejcuTP2799fppE8XVxclFE8XVxc0L9/f32UT0SkV+Hh4XBwcIClpSVcXV0RHx9f6rppaWkYPnw4HB0dYWJigsmTJ1deoURERERUIXo9ww7oZiRPIqKqLjo6GpMnT0Z4eDg8PDywevVq9OvXD8nJyWjevLnG+rm5uWjUqBFmzJiBpUuX6qFiIiIiIiovvY8ST0RE5bdkyRL4+/sjICAA7dq1Q1hYGOzs7BAREVHi+i1atMCyZcvg5+cHa2vrMr1Hbm4usrKy1F5EREREVHnYsBMRGZm8vDwkJCTAx8dHbb6Pjw8OHTqktfcJDQ2FtbW18rKzs9PavomIiIjo8diwExEZmYyMDBQUFGg8AtPGxkbjUZlPIiQkBLdu3VJely5d0tq+iYiIiOjx9H4POxERVYxKpVKbFhGNeU/CwsICFhYWWtsfEREREZUPz7ATERmZhg0bwtTUVONs+rVr1zTOuhMRERGR8WLDTkRkZMzNzeHq6oq4uDi1+XFxcejZs6eeqiIiIiIibeMl8URERig4OBgjR46Em5sb3N3dsWbNGqSmpiIwMBDAg/vPL1++jM2bNyvbJCUlAQCys7Nx/fp1JCUlwdzcHO3bt9fHIRARERHRY7BhJyIyQr6+vsjMzMTcuXORlpYGZ2dnxMbGwt7eHgCQlpaG1NRUtW1cXFyU/09ISMCXX34Je3t7XLx4sTJLJyIiIqIyYsNORGSkgoKCEBQUVOKyyMhIjXkiouOKiIiIiEibeA87ERERERERkQFiw05ERERERERkgNiwExERERERERkgNuxEREREVGWEh4fDwcEBlpaWcHV1RXx8/CPX/+WXX+Dq6gpLS0u0bNkSq1atUlseGRkJlUql8bp3754uD4OICAAbdiIiIiKqIqKjozF58mTMmDEDiYmJ8PT0RL9+/TSemlHkwoUL6N+/Pzw9PZGYmIjp06dj4sSJ2Lp1q9p6VlZWSEtLU3tZWlpWxiERUTXHUeKJiIiIqEpYsmQJ/P39ERAQAAAICwvDrl27EBERgdDQUI31V61ahebNmyMsLAwA0K5dOxw7dgyLFy/Gq6++qqynUqnQpEmTSjkGIqLieIadiIiIiIxeXl4eEhIS4OPjozbfx8cHhw4dKnGbw4cPa6zft29fHDt2DPfv31fmZWdnw97eHs2aNcNLL72ExMTER9aSm5uLrKwstRcRUUWwYSciIiIio5eRkYGCggLY2NiozbexsUF6enqJ26Snp5e4fn5+PjIyMgAATk5OiIyMxHfffYeoqChYWlrCw8MDZ8+eLbWW0NBQWFtbKy87O7snPDoiqq7YsBMRERFRlaFSqdSmRURj3uPWLz6/R48eGDFiBJ555hl4enri66+/Rtu2bbFixYpS9xkSEoJbt24pr0uXLlX0cIiomuM97ERERERk9Bo2bAhTU1ONs+nXrl3TOItepEmTJiWub2ZmhgYNGpS4jYmJCbp27frIM+wWFhawsLAo5xEQEWniGXYiIiIiMnrm5uZwdXVFXFyc2vy4uDj07NmzxG3c3d011t+9ezfc3NxQo0aNErcRESQlJcHW1lY7hRMRPQIbdiIiIiKqEoKDg7Fu3Tps2LABKSkpmDJlClJTUxEYGAjgwaXqfn5+yvqBgYH4+++/ERwcjJSUFGzYsAHr16/HO++8o6wzZ84c7Nq1C+fPn0dSUhL8/f2RlJSk7JOISJd4STwRERERVQm+vr7IzMzE3LlzkZaWBmdnZ8TGxsLe3h4AkJaWpvZMdgcHB8TGxmLKlClYuXIlmjZtiuXLl6s90u3mzZsYPXo00tPTYW1tDRcXF+zfvx/dunWr9OMjouqHDTsRERERVRlBQUEICgoqcVlkZKTGPC8vLxw/frzU/S1duhRLly7VVnlEROXCS+KJiIiIiIiIDBAbdiIiIiIiIiIDxIadiIiIiIiIyACxYSciIiIiIiIyQGzYiYiIiIiIiAwQG3YiIiIiIiIiA8SGnYiIiIiIiMgAsWEnIiIiIiIiMkBs2ImIiIiIiIgMEBt2IiIiIiIiIgPEhp2IiIiIiIjIALFhJyIiIiIiIjJAbNiJiIiIiIiIDBAbdiIiIiIiIiIDxIadiIiIiIiIyACxYSciIiIiIiIyQGzYiYiIiIiIiAwQG3YiIiIiIiIiA6T3hj08PBwODg6wtLSEq6sr4uPjH7n+L7/8AldXV1haWqJly5ZYtWpVJVVKRGRYmJ9ERJp0kY1bt25F+/btYWFhgfbt22P79u26Kp+ISI1eG/bo6GhMnjwZM2bMQGJiIjw9PdGvXz+kpqaWuP6FCxfQv39/eHp6IjExEdOnT8fEiROxdevWSq6ciEi/mJ9ERJp0kY2HDx+Gr68vRo4ciRMnTmDkyJEYOnQofv3118o6LCKqxvTasC9ZsgT+/v4ICAhAu3btEBYWBjs7O0RERJS4/qpVq9C8eXOEhYWhXbt2CAgIwH//+18sXry4kisnItIv5icRkSZdZGNYWBi8vb0REhICJycnhISEoE+fPggLC6ukoyKi6sxMX2+cl5eHhIQETJs2TW2+j48PDh06VOI2hw8fho+Pj9q8vn37Yv369bh//z5q1KihsU1ubi5yc3OV6Vu3bgEAsrKy1NYryL1boePQtofrKglrLT/WqhvGXGvRtIjoo5wnwvwsmTF/P5aEtZYfa9UNY8lPXWXj4cOHMWXKFI11HtWwlyU/DeXfF3j89yNrrRhj/jkvCWstv+K1Vjg7RU8uX74sAOTgwYNq8xcsWCBt27YtcZs2bdrIggUL1OYdPHhQAMiVK1dK3GbWrFkCgC+++OKrxNelS5e0E2qViPnJF198GcLL0PJTV9lYo0YN+eKLL9TW+eKLL8Tc3LzUWpiffPHFV2mv8man3s6wF1GpVGrTIqIx73HrlzS/SEhICIKDg5XpwsJC3LhxAw0aNHjk+5RXVlYW7OzscOnSJVhZWWltv7rAWnWDteqGrmoVEdy+fRtNmzbV2j4rG/Oz8rFW3WCtulFd81MX2VjefTI/NbFW3WCtuqGLWiuanXpr2Bs2bAhTU1Okp6erzb927RpsbGxK3KZJkyYlrm9mZoYGDRqUuI2FhQUsLCzU5tWrV6/ihT+GlZWVwX8DFmGtusFadUMXtVpbW2t1f5WF+al/rFU3WKtuVJf81FU2lrZOafsEmJ+Pwlp1g7XqhrZrrUh26m3QOXNzc7i6uiIuLk5tflxcHHr27FniNu7u7hrr7969G25ubiXef0lEVBUxP4mINOkqG0tbp7R9EhFpk15HiQ8ODsa6deuwYcMGpKSkYMqUKUhNTUVgYCCAB5cT+fn5KesHBgbi77//RnBwMFJSUrBhwwasX78e77zzjr4OgYhIL5ifRESadJGNkyZNwu7du7Fo0SKcOnUKixYtwp49ezB58uTKPjwiqo7Kdce7DqxcuVLs7e3F3NxcunTpIr/88ouybNSoUeLl5aW2/r59+8TFxUXMzc2lRYsWEhERUckVl+zevXsya9YsuXfvnr5LeSzWqhusVTeMqdbKxvysfKxVN1irbhhTrdqki2zcsmWLODo6So0aNcTJyUm2bt2q68MoE2P6N2atusFadcOQalWJGNgzOYiIiIiIiIhIv5fEExEREREREVHJ2LATERERERERGSA27EREREREREQGiA07ERERERERkQFiw05kYAoLC/VdAhGRUWJ+EhFVDPPTcLFhJzIQ//vf/wAAJibG/WOZn5+v7xKIqJqpCvnJ7CQifWB+Gj7j/ZchqkIOHDiAM2fOqAWOMX7S+dZbb2Hfvn36LkNR9NRKPr2SqOqqCvlpaNkJMD+JqgPmp25oOz/ZsOuBof/yu3btmr5LKFXxEMnJydFjJdrl5uaGmJgYmJmZISoqCsCDTzqNKTTv378PS0tLeHl5Afi/fyt9fr+rVCrs3LkTO3bs0HstpB2G/m/I/Kx8xp6fhpidAPOzqjGGfz/mZ+VjfuqGtvOTDXslOXz4MDZv3gzgwT+iodq6dSv69euHixcv6ruUEhVdrhMcHIywsDBkZ2fruaIn4+vrix07dsDS0hImJiY4c+YMxo8fDx8fHwDGE5oXL15EjRo1EBERgRo1amDdunWIiopCXl4eVCqVXoMzLCwM3377LQD9BzhVDPNTO5ifhseQsxNgfho7Y8lOgPlZ2ZifuqfN/GTDXgm2bt2KQYMG4eTJk0hJSVHm6/sb6WF///03wsPDERgYCHt7e32Xo6b41yohIQFfffUVevfujTp16uixqieTk5MDEYGvry/27t0LAGjWrBnWr1+PS5cuoX///gAMPzTfeecdTJ06FcnJyQCAgoICrFu3DosWLcKOHTv0HpwtW7bEjRs3ABj3/VnVFfPzyTE/DTM/DT07AeanMTOW7ASYn5WN+Vk5tJqfQjr1888/S+3atWXNmjX6LuWRjh49KpMmTZKBAwdKZmam5Ofn67ukEn3yyScyf/58mTFjhr5L0YobN25IYGCgmJuby86dO0VE5O7duxITEyNt2rSRF154QVm3oKBAX2U+0vLly8XV1VVGjx4tJ0+eFBGRe/fuSf/+/cXFxUW2bNkiubm5IiJSWFhYKTWlp6dLenq6iIhER0dL9+7dJScnR+1raKjf4/R/mJ/axfw0LIaYnSLMz6rAWLJThPmpL8xP3dBVfrJh15HCwkIpLCyU4OBgeeutt0RE5N9//5V9+/bJmDFj5PXXX5c//vhDWVffpk6dKk899ZTY2toq32iG9gOak5MjL7/8sqhUKhkyZIiIGMbX7knduHFDxowZoxaad+7cUUKzX79+yrqGdLzFa9mwYYN06dJF3n77bUlKShIRkdzcXOnbt2+lB+fRo0fFxsZGbGxsZNCgQdKhQwdp3ry5/Pzzz/Lnn3/q9L1JO5if2sf8NJzjNdTsFGF+Gjtjy04R5qc+MT+1S5f5yYZdx95//31p3ry57NmzR1577TXp27eveHt7S/fu3cXR0dGgPkmcP3++NG3aVCZMmCBXr14VEf3+gJb03qmpqTJmzBipWbOm7Nu3T0QML9gfp+i4ih/f9evXSwzN7777TpycnMTNzU0vtT5O8a/9+vXrSw1OV1dX+eabb5Tg1KX79+/Lnj175JtvvpF58+bJG2+8ISqVShwdHcXW1lZcXFzExcVFwsLCDOrnjzQxPyuO+WnY+WmI2SnC/KwqjCk7RZiflYX5qVu6zE827DpQ/B/hyJEjMnjwYKlVq5a88cYb8uOPP4qIyIEDB8TFxUXS0tL0VaacP39eLl26JJcvX1bmTZs2Tbp06SLvv/++XL9+XUT0E5oPh2DxH7YrV66Ir6+v1K1bV3777TcRMZxP/h6n+HHdv39f7t69q0xnZGTI6NGjNS5Pio6OFl9fX4P6xVDa13vt2rUlBme/fv2kWbNm8tNPP1VmmYru3bvLnDlzJDExUdavXy9TpkyR5ORkvdRCj8b8fHLMT8PNT2PLThHmp7EwluwUYX7qA/NTP7SVn2zYtSwuLk7Gjx8vISEhapc/nDp1Sm29KVOmiIeHh2RlZVV2iSIisnXrVmnevLk0bdpUBgwYIFFRUcqyd999V7p06SKzZs1SPumsTMWD4dNPPxVfX1/p37+/rFixQpl/9epVGTp0qFhbW8vRo0dFxPBDs/hxLVu2TAYOHCh9+vSROXPmKPNv3Lgho0ePFgsLC9m1a5eIqP+yMITQLF7D5cuX5fz582rBv3r1ao3gvHfvnkyZMkXrn+oX/ZufOHFCtmzZIjExMXLhwgVl+Z07d+TevXvStWtX+eijj7T63qR9zM8nx/w03Pw0pOwUYX5WJcaSnSLMT31gfhp/frJh16I9e/aIubm5DB06VBo0aCAeHh6ybt06tW+yo0ePyoQJE6RevXrKN1Rlu3Tpkjg5OcnatWslMjJS/Pz8pH379rJ27VplnZCQEHFwcJAFCxbo7Yf0vffek6efflqmTJki8+fPF5VKJe+//77yA3r16lUZNmyYqFQqSUlJ0UuNFTFt2jRp2rSpTJ8+XZYvXy4qlUomTpwot27dEpEH95sFBgaKSqWSX3/9Vc/Vqiv+vfDBBx9I9+7dpWbNmjJixAjZvHmzsmz16tXi6uoqY8aMUX6hFdFWcBaF5datW6VRo0bSvXt3sbW1lYEDB8q2bdvU1p04caIMHz5cbTsyLMxP7WJ+GlZ+GlJ2ijA/qxJjyU4R5qe+MT+1Qx/5yYZdixYuXCiLFy8WkQefVA0dOlQ8PDxk9erVUlBQIGfPnpXg4GDx8PCQEydO6K3Of/75R/z8/OT+/fsiIpKcnCzjxo0TR0dHtdCcNWuWnD9/vlJqcnZ2lvDwcGX6q6++kpYtW8qRI0dERGTXrl1iYmIiJiYmEhgYqIRmWlqavP/++8qxGLqtW7dK69at5dChQyLy4LjMzc3FzMxMXn/9deVT78zMTFm0aJHBHtesWbOkUaNGsm3bNjly5Ih4eXlJx44d1T6FXrt2rTRr1kw+/PBDEdHNH3o//fSTNGrUSCIiIkRE5Pvvv5c6depIt27d5IsvvlDWmzhxonTu3FnvnxBT6ZifFcf8NJ78NJTsFGF+VhXGkp0izE99Yn5qV2XnJxt2LUhJSZE//vhDpk+fLt98840y//r16+Lr6yseHh6yYcMGEXkwaEXRvTmV7ccffxQ/Pz8ZM2aM9OnTR21ZSkqKjBs3TpydnWX58uWVWteECRPkmWeeUftm3rRpk/ID+MMPP4i1tbWsW7dOtmzZIiqVSmbMmCF37txR248hhkvxAT7y8/Plyy+/VL6+sbGxUq9ePVm7dq3s3r1bTE1NZcKECXLz5k21fRjace3fv186duwo+/fvFxGRX375RSwtLeU///mPdOrUSVatWqWsGxMTo7PBbXJzc+V///ufTJ48WURELl68KC1btpRBgwbJCy+8IB07dpQtW7aIyIPLAk+fPq2TOujJMD+fDPPTePLTULJThPlZFRhLdoowP/WB+Vm18pMN+xP6+uuvpUGDBlK/fn1RqVTi7++vtjwzM1NGjBghTk5OsmnTJj1VKbJ7926xsLCQl156Sbp27SoqlUrtE0WRB99Uo0aNkq5du8q///5baZe+vfbaa/LGG2+IyINPinft2iX//vuvnD9/Xq5evSqurq7y8ccfi4jI6dOnpUGDBqJSqWTRokWVUl9FFf8FUBSCN2/elAsXLkhmZqZ069ZN+QTwwoUL8vTTTyuXXRmSh78P0tLSZMmSJZKbmyu7d++Whg0byoYNGyQ9PV1at24tjo6OsmDBArVtdBWcp06dkuPHj0tWVpa4ubnJf//7XxER2bt3r9SpU0fatm0r0dHROnlvenLMzyfH/DTc/DTk7BRhfhozY8lOEeanPjA/H6hK+cmG/Qlcv35dnnvuOVmzZo38+uuv8vbbb0unTp1k3rx5autlZGSIv7+/2mAElemff/6RL7/8UvnE8Pz58xISEiJ169ZV+0RKROTMmTOVNnpo0fNCw8PD5ZlnnhEvLy+pV6+enDt3Tlnn5MmT0q5dO+Weq9TUVBk3bpzs37/foD75e1jxsAwNDZWBAweq/fufOnVKHB0dlVFG09LSJDAwUH777TeDetxK8eNITk6Wa9euiYjI7du3JT8/X1599VWZOXOmUvPgwYPF2dlZJk6cqPVfuCXtr2hAlJ07d0qXLl3k4sWLIvJgJFxPT08JCgqSv//+W6t1kHYwP58M89Ow89OQslOE+VmVGEt2ijA/9YH5WTXzkw17Bf3222/yyiuvyOuvv658epWZmSlTpkyRbt26ydy5c9XW19e9X+fPnxeVSiWNGzdWuz/o8uXLMmPGDKlbt67afH3Iy8sTV1dXMTU1lUmTJqktO3XqlKhUKlm4cKEcOXJE+vXrJz4+PsoPjyGHpsiDgUuaNGkia9eulTNnzijzL126JJaWlvLOO+/Ivn375IUXXpDnnnvOoI6reEDNmDFDnn32Wfnmm2+U+7fu378vrq6uMm3aNBF5EF7Dhg2Tr776qsRnfWqjlr1798qCBQtk7ty5kp2drSzfsWOHPP3007J7926l3rFjx8q///6rlfcn7WJ+ag/z0/Dy05Cys/i+mJ/Gz1iyU4T5qW/MT+3Wo+/8ZMNeAadPn5b58+dLq1atpHXr1mrLrl+/rjw247333tNThf8nLy9PPvzwQ6lTp468++67asuuXLkiH3zwgahUKtm4cWOl1lX0SyQ/P19OnDghjo6O4ufnJy4uLhIaGqq2bnh4uJiamkqbNm2ka9eukpeXJyKGP1ptfHy82Nvbazz/segTwS+++EJq1aoljo6O0qNHD4M9rqJBPmJjYyUzM1NEHtSYnZ0tb731lvTu3VsmT54sffr0ERcXF+XfVtt/KMTGxkrNmjXF09NTnn76aWnZsqUygM4ff/whffr0EUdHR3FzcxMrKyu9joRLpWN+Pjnmp3Hkp6FkpwjzsyowpuwUYX7qE/NTuwwhP9mwl9PWrVuld+/eEhcXJ5988onUr19fxo4dq7ZORkaGvP322/L888/rbZCP5ORkiY+Pl9TUVBERWbJkiZiYmMiyZcvU1rt06ZLMnz9f41mdulT8h+n8+fNy8+ZN+eeff6SwsFCCg4OlU6dOyr01xdf7/ffflW31/QlgWXz55Zfi6Ogot2/fVuY9HIb//POPpKSkGORxFRYWyvnz56Vjx44aj6koqjcxMVHefPNN6dWrl7z66qtK6OsiMKdPny4RERFSUFAg6enp0rdvX3n66afl2LFjIiJy+PBhWbZsmcycObNSv5+p7JifT475+X8MNT8NLTtFmJ/GzliyU4T5aQiYn9plCPnJhr0crl27Js8995xyL87Nmzfl448/FmdnZ41LaTIzMyU9PV0PVYps375dateuLS1bthQLCwtZu3atXL16VZYsWSIqlUojNCvznpXigfHee+9Jq1atpFGjRuLp6SmfffaZ5Ofny//+978SQ7OIsTxaZvv27WJnZyd//vmnMq+goEAKCgokMjJSY9RIQzyuM2fOSOPGjeXw4cMiov7vd/fuXbl3756IPPge0vblVEX7u3Dhgpw6dUrGjx8ve/bsUZbn5OTICy+8ILa2tpKQkKCV9yTdYX4+Oean8eSnPrOz+PsxP42fsWSnCPPTUDA/n4wh5icb9jLauXOnvPXWWzJo0CC1QQQyMzPlo48+kg4dOkhwcLAeK3zwDXbjxg3l+Ztnz56V+fPni0qlkg8//FAZYdHCwqLUMNKl4oEQFRUltra28u2330pkZKRMnTpVTE1NZeXKlUpodunSRWbOnFnpdWrL8ePHxdbWVt599121gVTy8vLk2WeflQ8++ECP1ZXNhQsXpFatWhIZGSkiD/4Ni4LswIEDsm7dOuXZnSLav5zqm2++kUaNGkn79u1FpVLJ0qVLlU9SRR6E5ksvvSSWlpa8hNOAMT+fHPPzAWPJT31npwjzsyowhuwUYX4aGubnkzO0/GTDXkbff/+9qFQqMTExkUOHDqkty8zMlE8++USaNm2qDIKgD3fv3pU7d+7I9OnT5caNG8r8sLAwtdBcsGCB1K9fX22dyvTzzz9LQECALFmyRJmXlZUly5cvl5o1a8quXbuU0U3ffPNNg7qnpiwe/sVQq1YtCQwMlM8//1x27twpffr0kc6dOxvM5UclKSwsVI5j8uTJ0qxZM4mNjVWW5+Xlibe3t7z99ts6eW+RB/frubi4yMcffyy7d++WAQMGSIMGDeTHH39UC83s7GwZMmSI2qAqZFiYn9rD/DTs/NRndha9vwjzs6owhuwUYX4aCubnk7+/iGHmJxv2x8jIyFA+xfn111/F1NRUhg0bJpcvX9ZYb/ny5fLXX3/po0z59ttvpW/fvtKuXTtxcnJSBkMoEhYWJubm5jJr1ixJT09XBnCobGlpadKqVSupW7euzJ8/X23ZjRs3ZODAgTJ+/HgReTAoiS5GfNSWh2squtxI5MG/R1GgfP755/L888+LlZWVdOnSRfr166f8wBvCIzRKOo6ieTdv3pTk5GR58803xcrKSv73v//J1KlT5bnnnhNnZ2e14NKmI0eOSGhoqIwZM0Zt/oABA5RBSHT13qQ9zE/tYn4aVn4aYnaKMD+rAmPJThHmpz4wP6tffrJhf4Tt27eLh4eHtG7dWmbOnCnXr1+XI0eOiKmpqYwePVrjeZH6ugfk6NGjYmVlJWPHjpU333xTatSoIZMmTVKeCVgkNDRUnnrqKcnIyNBLnUVOnDghrVq1ki5dusjx48fVlvn7+0vfvn3V5hnavTUi6jVduHBB7REP33zzjdSqVUvWrVunzMvKypJ//vlHLl++bDCPznhY0X1vRfVFRUWJg4OD3LhxQ1JTU+XTTz+Vrl27yosvviiBgYFK/U9yHMUDu3gAjho1SlQqlXTu3Fl5dE2RAQMGSNOmTeXbb781uK8h/R/mp24wPw0vP/WRncXfT4T5WZUYS3aKMD/1gflZPfOTDXspEhISxNraWubOnSuTJk2Szp07y8CBA+Xvv/+Ww4cPi6mpqYwdO1bj087Kdu7cOfnggw/UHkURHh4uzZo1k2nTpmmEpr4uQ3rYiRMn5JlnnpFRo0ZJYmKiiDwIFQ8PDwkICNBvcY9RPCw/+OADGTRokHz//fdy9+5dOXfunKhUKgkPDxeR0j+ZNbRfAuvXr5dx48Yp09u2bZNatWpJWFiY2nq5ublq09oIrEuXLin/v2vXLuXyp3Hjxknjxo0lPDxc7V4lEREvLy9p06aN2i8qMhzMT91ifhpOfuozO0WYn1WNsWSnCPNTH5ifD1TH/GTDXoJz587JvHnz1C6Z+f777+XZZ5+VAQMGyN9//y1HjhwRlUolkydP1ttlJbdu3RI3Nzdp2LChTJ8+XW3Zp59+Kk8//bTMmDFDzp8/r8w3pEt7jh8/Lu3btxcbGxt56aWX5JVXXhEXFxflB9OQai3JjBkzpGHDhvLtt9+qPULljz/+0GNVFbN48WKpXbu2XLlyRfLy8uT111+X1atXa6xXPOif9N9n+/btcuvWLWnfvr2MHj1aduzYISqVSu0xHiNHjhQnJyfZsGGDRjgWPTKGDAvzs3IwPw2DPrJThPlZFRlLdoowP/WN+flkjDE/2bA/pCiEGjdurDGIx44dO8TLy0sGDRokFy5ckKNHj0pycrKeKn3g+PHj0qZNG/Hw8JCTJ0+qLYuIiBBLS0uZM2eOQV3+UtzJkyfFwcFBPD09JSIiQplv6PfX/f777+Lo6Ci7d+9W5hnSp5aPUjzsin7hFw3kMWPGDBERnX96/95774mtra38+eef8vXXX0uDBg2kRo0a8vXXX4uIyJ07d5R1R4wYIU5OThIZGan2TFEyPMzPysX8rFyGkJ0izM+qyNiyU4T5qS/MzydjrPnJhr0Ex48fl7Zt24qHh4fGp1U//PCDPPPMM/L6668bTAidOHFCOnfuLKNHj9aod926dQY/+mtiYqJ0795d3n77bTl79qy+y9EQFBQkBw8eVJt39OhR5Qf+Ybm5uRqX0Bi6goICmTp1qnTt2lWZp6tPmE+ePClNmjRRftls375dVCqV1K1bV+3SqLt37yr/P2rUKGnYsKF8/vnnBv/Jd3XH/KxczE/9qszsFGF+VmXGlp0izE9dY35qlzHnJxv2UjwqhHbt2qVxb46+HT9+XLp06SIBAQEl/hAbuuPHj0u3bt3k9ddfl5SUFH2Xo8jMzJQ33nhD4xPX+Ph4MTMzk8OHD4uI+v00v/zyi3zzzTcG9ylt8cvnNm/eLG5ubnLw4EHlE82bN2+Kra2tLFy4UKd1nDt3Trp06SIbNmyQTZs2SadOneSbb76R6OhosbGxUXtcR/HQnDhxokH+QiVNzM/KxfzULUPJThHmZ1VnbNkpwvzUFean9hlzfrJhfwRjCyFDDZ2y+u2338TLy0uuXLmi71JERPMSo02bNklMTIzyCdugQYOkffv2al/re/fuibe3t0ydOrVSa32c4oG+d+9eWb16tbzyyivSqlUr6d27t6xevVpu3Lghs2fPllGjRsmNGzd09knivXv3JCgoSNq3by8qlUpWrVolIiL//vuvbNy4UWxsbNQep7F69Wr58ccfdVIL6Q7zs3IxP3XDkLJThPlZHRhbdoowP7WN+akbxpyfbNgfw9hCyNBCp7yKf6JlKAoLCyU7O1u5V2vXrl0iInLgwAF54YUXxNbWVlauXCkfffSReHt7S8eOHQ3qkrUff/xRunfvLiIikydPFg8PD2W01t27d8ucOXPE2tpahgwZIq6urlKvXj3Zt2+fTmopCuLIyEhRqVTSunVr+eKLL5R7hm7evKmEZt++fWXSpEmiUqmM4mePNDE/KxfzU7sMKTtFmJ/VibFlpwjzUxeYn9pj7PnJhr0MjC2EDDF0jE1Jn/BduXJF3N3dxdPTU/bu3SsiImfOnJGJEydKq1at5D//+Y+MGDFCuRTJEELz/v37snPnTnFycpKWLVtKvXr15K+//tJY79y5c7Js2TLp37+/qFQq6d+/v/z77786q2vLli0SEREhw4cPFzc3N1m3bp3yfZuVlSWxsbHSp08feeGFFyQpKUlndZDuMT+rn6qQn4aanSLMz+rC2LJThPmpDczPf3Vam7HmJxv2MmIIVR/FL0W6cuWK5OTkyK1bt0TkwQiWXbt2FQ8PD4mLi1PWy8jIUNtO32H5n//8Rwl1kQcjXapUKnFzc1PmFQX7w4/L+Pjjj6Vdu3ZavVeu6BdQYWGh2vvl5OTIq6++Kl27dlULzSJ8TnDVwPysPow9Pw0tO4v2XfRf5mf1wuysXpifzM/SmIDKxNLSUt8lUCUQEZiYPPixeP/999G/f38888wzeOuttxAXF4emTZvi22+/RV5eHubNm4edO3dCRNCgQQNlOxGBmZmZ3o7hzp07ePnll+Hh4aHMe/HFFxEREYH79++jV69eKCwsRI0aNZCXl6fUDQAqlQrvvPMORASrV6/WSj0iApVKhT179uCdd97BwIEDsWnTJiQkJKBWrVr47LPP0Lx5c6xevRpRUVG4d++esm3t2rW1UgPpF/OzejD2/DS07ASYn9Uds7P6YH4yPx9JDx8SEBmk4p+8rVu3Tho0aCCbNm2S+fPny7Bhw8Tc3Fy2b98uIv93eVL79u3lyJEjeqpYU05Ojtr0/PnzlWdLFhQUSGxsrHTo0EF69eqltl5MTIxkZ2cro3n6+PjIrFmztDb4x7Zt28TS0lL8/PzE29tbOnXqJL169VIerXHnzh15/fXXpXXr1vLZZ59p5T2JqPIYe34aanaKMD+JqjrmJ/PzcdiwEz3k4MGD4u/vLxs2bFDmpaeny6RJk8TKykoJyMuXL8vbb7+t9sgKfXrrrbekZ8+eyqAeubm54u/vLyqVSrZt26bM+/HHH8XZ2Vm6d+8uJ06cEG9vb/H29lYCMj4+XlQqlfz+++9aqSstLU1cXFxk2bJlyrw9e/bI8OHD5bnnnpMTJ06IyINL/9588005f/68Vt6XiCqfMeanoWanCPOTqDphfjI/S8OGnaiYn3/+WVq1aqV8ulncxYsXpVevXhIaGqrxyA1DCM3ffvtNmjRpIoMGDVIG7bh165YEBweLqampbN26VUQeBOfPP/8srq6u0rx5c/H09NR4ZmfR8zG14e+//5amTZvKN998ozZ/9+7d0q5dO6UuIjJuxpqfhpqdIsxPouqC+cn8fBTew05UzLPPPotRo0YBAKKionD58mVlmb29PSwtLXHq1Cm1e28AwNTUtFLrLEnXrl3x448/4tChQxg5ciRu3rwJKysrzJ49GxMmTMDQoUOxbds2mJubw8vLC4cOHcK3336Lffv2oUaNGsjPz0dBQQEAwNbWtsJ1iAgAICkpCZcuXUKdOnVgY2OD9PR0AEBhYSEAwNvbG1ZWVvj++++f8MiJyBAYa34aSnYCzE+i6or5yfx8FDbsVG0V/eA+7P3338ekSZNw6dIlLF26FBkZGQCAe/fu4ebNm2jUqFFlllkunTt3xq5du/Dbb7/Bz88PN2/eRN26dTFnzhxMmDABvr6+2L59O1QqFczNzeHi4gITExMUFhbCzMxMCX6VSlWh95f/P8DHt99+ixdffBFr1qxB/fr10b17d8yZMwdHjhxRGxylYcOGaNWqldaOn4gqR1XLT31nJ8D8JKoumJ/Mz/JSSdHHEUTVSGFhofKDu2HDBhw9ehQWFhbo0KED3n77bQDArFmz8Pnnn8PS0hI9evTAzZs3cerUKSQlJaFGjRr6LF9R/DiKS0pKQt++fdG9e3ds3rwZ9erVw+3btzF79mwsXboU+/btQ69evXRS0w8//IDXXnsNy5cvxwsvvIBmzZoBAIYOHYpffvkFwcHBaNSoEf7880+sW7cOv/76K5ycnHRSCxFpX1XIT0PMToD5SVTVMT+ZnxWip0vxiQzC1KlTpVGjRjJs2DDp37+/1KhRQ/z8/JTl8+fPl/r160vv3r0lPDxcma/v56yLqI8qeuHCBTl37pxaXcePH5dGjRrJgAEDlPuKbt68KcuWLdNZ/Xfv3pXXXntNpk+fLiIPRg49c+aMLF68WHbu3CkDBw6U5557Tlq3bi1eXl6SmJiokzqISPeMNT8NMTtFmJ9E1QnzU7uqen6yYadqpXjQHDhwQJo0aSK//PKLiDwIwd27d0u9evVkzJgxynqzZ88WDw8PmT59uty8eVNERKuPnKiI4scxe/ZsadeunbRo0UJatWol+/btUx6xcfz4cbGxsZGBAwdKZmam2j50EZx37twRNzc3mTBhgmRmZsr48eOlV69eYmtrK/b29vLJJ5/IjRs35Pr163Lr1i2tvz8R6U5VyE9DzU4R5idRVcb8fID5WTFs2KnaKB5y9+/flx07doiDg4NkZ2errbdlyxZ56qmnlCAVEfnggw/Ezc1NJk6cKNeuXau0mh/ngw8+kCZNmsg333wjGRkZ4uHhIa1bt5bo6Gi5e/euiIgkJiaKSqWSd999t1Jq2rRpk9SsWVOsrKxk8ODByminEyZMkN69e+v902EiKr+qlp+GmJ0izE+iqoj5WTmqcn6a6fuSfKLK8PPPP+PKlSt44403EBgYiFq1asHPzw/Xrl3DwYMH4ePjo6z7zDPPwMLCAtnZ2cq8OXPm4M6dOzh69Kg+yi9RQkIC4uLiEBkZib59+yI2NhZ//PEH2rRpA39/f6xfvx4vvvgiOnfujNOnT6Nly5aVUpefnx/c3Nxw+fJleHt7K4OrFBYWolmzZigoKICZGaOHyFhUtfw01OwEmJ9EVQ3zk/mpFfr+xIBIlwoLCyUrK0u8vb3Fy8tLBgwYIFZWVpKUlCS3bt2Sl19+WV555RU5ePCgsk1GRoY4OztLTEyMiKhfvnP9+vVKP4YiDz9789SpU7J69WoREfnpp5/ExsZGVq1aJSIiPXr0kFatWsnGjRvl3r17yjb6eF5nSkqKTJ8+XaytreXkyZOV/v5EVDFVJT+NNTtFmJ9Exor5yfzUJjbsVC1kZmaKo6OjqFQq+fDDD5X5MTEx8uyzz4qXl5csW7ZMYmJixNvbW7p06aIWMA8HVmUr/v4JCQnK/xcFuK+vr0ycOFEKCgokLy9PXnvtNWncuLH06dOn0mst7tixYzJs2DBp166dJCUl6bUWIqoYY85PY81OEeYnUVXA/NSPqpafRnpdAFH5mJiYoFWrVrCxscHevXvRtGlTjBw5Ei+//DLMzc3xww8/4IMPPkDbtm3RoEEDHDlyBKampigoKICpqWmJj6+oLCKivP/777+Pbdu2Yc6cOXj11VfRsGFD3L17FxcvXkTnzp1hYmICExMTmJmZ4ciRI7C3t9db3QDQvn17jB07Fi1atICdnZ1eayGiijHW/DTm7ASYn0RVAfNTP6pafvI57FStpKenw9/fH3fv3sVbb72FkSNHKsvS0tJQs2ZNWFtbQ6VSIT8/36DudZkzZw5WrlyJqKgotG/fHra2tsqyN954Az/99BP8/PwQHx+PrKwsnDhxAqampqU+L5OIqDyMNT+ZnUSkb8xPehJs2KnauXDhAiZMmIC8vDy8/vrrGDVqFHr37g0PDw8sXLgQAAwuaK5evYoBAwZgwoQJaiFfPNRHjRqFq1ev4qmnnsLmzZtRo0YNgzsOIjJuxpafzE4iMhTMT6ooNuxULV24cAHvvPMOUlJSkJubi1q1aiEhIQHm5ub6Lq1Ep06dQteuXbFz5054eHhARKBSqQAA9+7dg6WlJQDg7t27qFmzJgAY1Ce0RFR1GFN+MjuJyJAwP6ki2LBTtZWWloaEhARcvXoVo0aNgpmZmUEETfFALPr/mzdvwtPTE0OHDsX06dNhamqq1Pr999/j4sWLGD9+fIn7ICLSNkPMT2YnERkD5ieVFxt2ov+vaIAPfXr4MqLc3FxYWFjg/v37CAwMxO+//4733nsPQ4YMAQDcv38fgwYNQp06dfDVV18xKIlIL/Sdn8xOIjJWzE96HDbsRAaieGAuXboUhw8fxvnz5zF48GC8+eabqFevHl5//XX8888/aNGiBRwdHbF//35kZWUhKSkJZmZm/HSTiKodZicRUcUwP40DRwQgMhBFgRkSEoIFCxagRYsW6NWrF1asWIGxY8fi3Llz+Prrr/Hmm29CRJCcnIyuXbsqgZmfn8/AJKJqh9lJRFQxzE/jwDPsRHoUERGBnj174plnngEAnDhxAq+88grWr1+PZ599FgBw9OhRTJo0Cba2tvj888+VgT2Kfyqq73ufiIgqE7OTiKhimJ/Gh2fYifTkwoULWLhwIcLDw5GcnAwAMDU1VRtts6CgAF27dkVYWBi+//577N69W9m++P1GDEwiqi6YnUREFcP8NE5s2In0xMHBAd999x2OHz+OpUuXIiUlBfXr10dOTg7OnTsH4MEnmYWFhejWrRucnZ1x5swZPVdNRKRfzE4ioophfhonNuxEeuTi4oI1a9YgISEBn3zyCQoKCjBt2jQEBARg//79qFGjBkxMTJCTk4Pc3FzUr19f3yUTEekds5OIqGKYn8aH97ATGYDExET4+/vDzc0NQ4YMwQ8//IAVK1bg3XffRZ06dRAfH48rV64gMTGRlyAREf1/zE4ioophfhoPNuxEBiIxMRGjR4+Gq6sr/Pz8cObMGURERKBmzZqws7PDhg0bUKNGDb0/r5OIyJAwO4mIKob5aRzYsBMZkOPHj2P06NHo0qUL5s2bBxsbG7XnW3JETiIiTcxOIqKKYX4aPjbsRAYmMTERb7/9Nlq0aIEPP/wQrVu3BgC18CQiInXMTiKiimF+GjYOOkdkYFxcXBAeHg4rKyu0bNlSmc/AJCIqHbOTiKhimJ+GjWfYiQxU0aeahYWFas+9JCKi0jE7iYgqhvlpmNiwExkwXopERFR+zE4ioophfhoeNuxEREREREREBojXOhAREREREREZIDbsRERERERERAaIDTsRERERERGRAWLDTkRERERERGSA2LATERERERERGSA27ESVLDIyEvXq1dN3GURERof5SURUMcxP48WGnYiIiIiIiMgAsWEnrcnLy9N3CdXG/fv39V0CEWkR87PyMD+JqhbmZ+VhfuoHG3aqsGeffRbjx49HcHAwGjZsCG9vbyQnJ6N///6oU6cObGxsMHLkSGRkZCjbFBYWYtGiRWjdujUsLCzQvHlzLFiwQFl+8uRJ9O7dGzVr1kSDBg0wevRoZGdnK8vffPNNDBo0CAsXLoSNjQ3q1auHOXPmID8/H1OnTkX9+vXRrFkzbNiwQdnm4sWLUKlU+Prrr+Hp6YmaNWuia9euOHPmDI4ePQo3NzfUqVMHL7zwAq5fv652jBs3bkS7du1gaWkJJycnhIeHa+x327ZteO6551CrVi0888wzOHz4sNo+IiMj0bx5c9SqVQuDBw9GZmamxtdyx44dcHV1haWlJVq2bKkcUxGVSoVVq1Zh4MCBqF27NubPn1+BfzEiMhTMT+YnEVUM85P5We0IUQV5eXlJnTp1ZOrUqXLq1Ck5dOiQNGzYUEJCQiQlJUWOHz8u3t7e8txzzynbvPvuu/LUU09JZGSknDt3TuLj42Xt2rUiIpKTkyNNmzaVV155RU6ePCl79+4VBwcHGTVqlLL9qFGjpG7dujJu3Dg5deqUrF+/XgBI3759ZcGCBXLmzBmZN2+e1KhRQ1JTU0VE5MKFCwJAnJycZOfOnZKcnCw9evSQLl26yLPPPisHDhyQ48ePS+vWrSUwMFB5rzVr1oitra1s3bpVzp8/L1u3bpX69etLZGSkxn6///57OX36tAwZMkTs7e3l/v37IiJy5MgRUalUEhoaKqdPn5Zly5ZJvXr1xNraWnmfnTt3ipWVlURGRspff/0lu3fvlhYtWsjs2bOVdQBI48aNZf369fLXX3/JxYsXtf7vSUSVh/nJ/CSiimF+Mj+rGzbsVGFeXl7SuXNnZfr9998XHx8ftXUuXbokAOT06dOSlZUlFhYWSkA+bM2aNfLUU09Jdna2Mu+HH34QExMTSU9PF5EHgWlvby8FBQXKOo6OjuLp6alM5+fnS+3atSUqKkpE/i/Y1q1bp6wTFRUlAGTv3r3KvNDQUHF0dFSm7ezs5Msvv1Srcd68eeLu7l7qfv/8808BICkpKSIiMmzYMHnhhRfU9uHr66sWmJ6enrJw4UK1dT777DOxtbVVpgHI5MmTS/y6EZHxYX4yP4moYpifzM/qxqwyzuJT1eXm5qb8f0JCAn7++WfUqVNHY72//voLN2/eRG5uLvr06VPivlJSUvDMM8+gdu3ayjwPDw8UFhbi9OnTsLGxAQB06NABJib/dzeHjY0NnJ2dlWlTU1M0aNAA165dU9t/p06d1LYBgI4dO6rNK9rm+vXruHTpEvz9/fH2228r6+Tn58Pa2rrU/dra2gIArl27BicnJ6SkpGDw4MFq67u7u2Pnzp3KdEJCAo4ePap2aVZBQQHu3buHO3fuoFatWgDUv9ZEZPyYn8xPIqoY5ifzszphw05PpHi4FRYWYsCAAVi0aJHGera2tjh//vwj9yUiUKlUJS4rPr9GjRoay0qaV1hYqDav+DpF+3t4XtE2Rf9du3YtunfvrrYfU1PTx+63aHsRKfF4iissLMScOXPwyiuvaCyztLRU/r/415qIjB/zk/lJRBXD/GR+Vids2ElrunTpgq1bt6JFixYwM9P81mrTpg1q1qyJvXv3IiAgQGN5+/btsWnTJuTk5CjhcPDgQZiYmKBt27Y6r784GxsbPP300zh//jzeeOONCu+nffv2OHLkiNq8h6e7dOmC06dPo3Xr1hV+HyIybsxPTcxPIioL5qcm5mfVwlHiSWvGjRuHGzduYNiwYfjtt99w/vx57N69G//9739RUFAAS0tLvPfee3j33XexefNm/PXXXzhy5AjWr18PAHjjjTdgaWmJUaNG4Y8//sDPP/+MCRMmYOTIkcolRJVp9uzZCA0NxbJly3DmzBmcPHkSGzduxJIlS8q8j4kTJ2Lnzp346KOPcObMGXz66adqlyMBwAcffIDNmzdj9uzZ+PPPP5GSkoLo6GjMnDlT24dERAaK+amJ+UlEZcH81MT8rFrYsJPWNG3aFAcPHkRBQQH69u0LZ2dnTJo0CdbW1so9P++//z7+97//4YMPPkC7du3g6+ur3LdTq1Yt7Nq1Czdu3EDXrl0xZMgQ9OnTB59++qlejicgIADr1q1DZGQkOnbsCC8vL0RGRsLBwaHM++jRowfWrVuHFStWoHPnzti9e7dGEPbt2xfff/894uLi0LVrV/To0QNLliyBvb29tg+JiAwU81MT85OIyoL5qYn5WbWopCw3ORARERERERFRpeIZdiIiIiIiIiIDxIadiIiIiIiIyACxYSciIiIiIiIyQGzYiYiIiIiIiAwQG3YiIiIiIiIiA8SGnYiIiIiIiMgAsWEnIiIiIiIiMkBs2ImIiIiIiIgMEBt2IiIiIiIiIgPEhp2IiIiIiIjIALFhJyIiIiIiIjJA/w9kyDIXVPJzogAAAABJRU5ErkJggg==", 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", "text/plain": [ "
" ] @@ -333,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "e6f772c0", + "id": "5fb1205d", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for effectiveness metrics across recommenders." @@ -341,230 +307,17 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "b3e74c48", + "execution_count": 6, + "id": "f45a5cc3", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:28:37.165646Z", - "iopub.status.busy": "2024-11-26T21:28:37.165463Z", - "iopub.status.idle": "2024-11-26T21:47:29.480604Z", - "shell.execute_reply": "2024-11-26T21:47:29.479787Z" + "iopub.execute_input": "2024-11-27T02:15:06.424155Z", + "iopub.status.busy": "2024-11-27T02:15:06.423949Z", + "iopub.status.idle": "2024-11-27T02:33:26.289925Z", + "shell.execute_reply": "2024-11-27T02:33:26.289205Z" } }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "Mean: 0%| | 0/6 [00:00\n", "\n", "mmr\n", - "0.498
(0.493,0.504)\n", + "0.498
(0.492,0.504)\n", "0.775
(0.765,0.786)\n", "0.000
(0.000,0.000)\n", "0.333
(0.333,0.333)\n", @@ -946,219 +486,6 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "Mean: 0%| | 0/6 [00:00\n", "locality-cali\n", "0.608
(0.607,0.609)\n", - "0.126
(0.125,0.128)\n", + "0.126
(0.124,0.128)\n", "0.525
(0.525,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", @@ -1882,14 +783,14 @@ "\n", "pfar\n", "0.608
(0.607,0.609)\n", - "0.126
(0.124,0.128)\n", + "0.126
(0.125,0.128)\n", "0.525
(0.525,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", "\n", "\n", "softmax\n", - "0.372
(0.371,0.373)\n", + "0.372
(0.371,0.374)\n", "0.145
(0.145,0.146)\n", "0.173
(0.172,0.176)\n", "0.381
(0.380,0.384)\n", @@ -1898,7 +799,7 @@ "\n", "topic-cali\n", "0.608
(0.607,0.609)\n", - "0.126
(0.124,0.128)\n", + "0.126
(0.125,0.128)\n", "0.525
(0.525,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", @@ -1917,7 +818,7 @@ ], "source": [ "for metric in overlap_metrics:\n", - " tw = EvalTable(mind_small_user_metrics, \"recommender\", metric, progress=notebook_tqdm)\n", + " tw = EvalTable(mind_small_user_metrics, \"recommender\", metric)\n", " tw.add_stat(\"Mean\", np.mean, ci=True)\n", " tw.add_stat(\"Std Dev\", np.std, ci=True)\n", " tw.add_quantiles([\"10%ile\", \"Median\", \"90%ile\"], [0.1, 0.5, 0.9], ci=True)\n", diff --git a/notebooks/mind-small.md b/notebooks/mind-small.md index 9619ed31..0ba373c1 100644 --- a/notebooks/mind-small.md +++ b/notebooks/mind-small.md @@ -44,12 +44,6 @@ from IPython.display import HTML from poprox_recommender.eval_tables import EvalTable ``` -Set up progress: - -```{code-cell} ipython3 -from tqdm.autonotebook import tqdm as notebook_tqdm -``` - ### 1. 2 Loading Data ```{code-cell} ipython3 @@ -85,7 +79,7 @@ The summary tables show the mean values, standard deviation, and quantiles (10%i ```{code-cell} ipython3 for metric in effectiveness_metrics: - tw = EvalTable(mind_small_user_metrics, "recommender", metric, progress=notebook_tqdm) + tw = EvalTable(mind_small_user_metrics, "recommender", metric) tw.add_stat("Mean", np.mean, ci=True) tw.add_stat("Std Dev", np.std, ci=True) tw.add_quantiles(["10%ile", "Median", "90%ile"], [0.1, 0.5, 0.9], ci=True) @@ -112,7 +106,7 @@ The summary tables show the mean values, standard deviation, and quantiles (10%i ```{code-cell} ipython3 for metric in overlap_metrics: - tw = EvalTable(mind_small_user_metrics, "recommender", metric, progress=notebook_tqdm) + tw = EvalTable(mind_small_user_metrics, "recommender", metric) tw.add_stat("Mean", np.mean, ci=True) tw.add_stat("Std Dev", np.std, ci=True) tw.add_quantiles(["10%ile", "Median", "90%ile"], [0.1, 0.5, 0.9], ci=True) diff --git a/notebooks/mind-subset.ipynb b/notebooks/mind-subset.ipynb index 79f1b0f0..0b5b6dc1 100644 --- a/notebooks/mind-subset.ipynb +++ b/notebooks/mind-subset.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "a1c2fa42", + "id": "03c24fff", "metadata": {}, "source": [ "# Offline Evaluation Metrics Visualizations\n", @@ -13,7 +13,7 @@ }, { "cell_type": "markdown", - "id": "7118cd15", + "id": "612d9d31", "metadata": {}, "source": [ "## 1. Setup" @@ -21,7 +21,7 @@ }, { "cell_type": "markdown", - "id": "b31d5e95", + "id": "f6291c21", "metadata": {}, "source": [ "### 1. 1 Importing Libraries" @@ -29,7 +29,7 @@ }, { "cell_type": "markdown", - "id": "f20de022", + "id": "24c58c4f", "metadata": {}, "source": [ "PyData packages:" @@ -38,13 +38,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "ce5b29c3", + "id": "bc4e19c7", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:59:35.885595Z", - "iopub.status.busy": "2024-11-26T21:59:35.885424Z", - "iopub.status.idle": "2024-11-26T21:59:36.780319Z", - "shell.execute_reply": "2024-11-26T21:59:36.779384Z" + "iopub.execute_input": "2024-11-27T02:45:30.667714Z", + "iopub.status.busy": "2024-11-27T02:45:30.667549Z", + "iopub.status.idle": "2024-11-27T02:45:31.572080Z", + "shell.execute_reply": "2024-11-27T02:45:31.571105Z" } }, "outputs": [], @@ -57,7 +57,7 @@ }, { "cell_type": "markdown", - "id": "e722bb36", + "id": "4211b910", "metadata": {}, "source": [ "Local code:" @@ -66,13 +66,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "c69dda27", + "id": "0a0df770", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:59:36.783209Z", - "iopub.status.busy": "2024-11-26T21:59:36.782956Z", - "iopub.status.idle": "2024-11-26T21:59:36.787596Z", - "shell.execute_reply": "2024-11-26T21:59:36.786995Z" + "iopub.execute_input": "2024-11-27T02:45:31.574953Z", + "iopub.status.busy": "2024-11-27T02:45:31.574692Z", + "iopub.status.idle": "2024-11-27T02:45:31.579267Z", + "shell.execute_reply": "2024-11-27T02:45:31.578694Z" } }, "outputs": [], @@ -84,41 +84,7 @@ }, { "cell_type": "markdown", - "id": "4cf08e0c", - "metadata": {}, - "source": [ - "Set up progress:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2d9d7565", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-26T21:59:36.789694Z", - "iopub.status.busy": "2024-11-26T21:59:36.789538Z", - "iopub.status.idle": "2024-11-26T21:59:36.797180Z", - "shell.execute_reply": "2024-11-26T21:59:36.796547Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_363318/2439040576.py:1: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from tqdm.autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], - "source": [ - "from tqdm.autonotebook import tqdm as notebook_tqdm" - ] - }, - { - "cell_type": "markdown", - "id": "84963ce3", + "id": "09380ba6", "metadata": {}, "source": [ "### 1. 2 Loading Data" @@ -126,14 +92,14 @@ }, { "cell_type": "code", - "execution_count": 4, - "id": "f78eca3b", + "execution_count": 3, + "id": "2b261888", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:59:36.798787Z", - "iopub.status.busy": "2024-11-26T21:59:36.798630Z", - "iopub.status.idle": "2024-11-26T21:59:36.823207Z", - "shell.execute_reply": "2024-11-26T21:59:36.822580Z" + "iopub.execute_input": "2024-11-27T02:45:31.581458Z", + "iopub.status.busy": "2024-11-27T02:45:31.581290Z", + "iopub.status.idle": "2024-11-27T02:45:31.605449Z", + "shell.execute_reply": "2024-11-27T02:45:31.604852Z" } }, "outputs": [ @@ -250,7 +216,7 @@ "4 True 0.63093 0.63093 0.333333 0.409510 0.651322 " ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -262,14 +228,14 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "dcbdf91a", + "execution_count": 4, + "id": "0c564a28", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:59:36.825023Z", - "iopub.status.busy": "2024-11-26T21:59:36.824861Z", - "iopub.status.idle": "2024-11-26T21:59:36.827804Z", - "shell.execute_reply": "2024-11-26T21:59:36.827263Z" + "iopub.execute_input": "2024-11-27T02:45:31.607099Z", + "iopub.status.busy": "2024-11-27T02:45:31.606924Z", + "iopub.status.idle": "2024-11-27T02:45:31.609807Z", + "shell.execute_reply": "2024-11-27T02:45:31.609270Z" } }, "outputs": [], @@ -280,7 +246,7 @@ }, { "cell_type": "markdown", - "id": "1a40c311", + "id": "eb110c9b", "metadata": {}, "source": [ "## 2. Results" @@ -288,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "f6e0c14c", + "id": "22d658ec", "metadata": {}, "source": [ "### 2. 1 Effectiveness Metrics\n", @@ -297,20 +263,20 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "c5405f31", + "execution_count": 5, + "id": "ea84f3b1", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:59:36.829823Z", - "iopub.status.busy": "2024-11-26T21:59:36.829672Z", - "iopub.status.idle": "2024-11-26T21:59:37.537725Z", - "shell.execute_reply": "2024-11-26T21:59:37.537104Z" + "iopub.execute_input": "2024-11-27T02:45:31.611522Z", + "iopub.status.busy": "2024-11-27T02:45:31.611363Z", + "iopub.status.idle": "2024-11-27T02:45:32.298680Z", + "shell.execute_reply": "2024-11-27T02:45:32.297945Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -333,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "57630506", + "id": "dfc2349f", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for effectiveness metrics across recommenders." @@ -341,230 +307,17 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "e6695fed", + "execution_count": 6, + "id": "396c2143", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T21:59:37.539458Z", - "iopub.status.busy": "2024-11-26T21:59:37.539294Z", - "iopub.status.idle": "2024-11-26T22:00:07.833481Z", - "shell.execute_reply": "2024-11-26T22:00:07.832388Z" + "iopub.execute_input": "2024-11-27T02:45:32.300632Z", + "iopub.status.busy": "2024-11-27T02:45:32.300447Z", + "iopub.status.idle": "2024-11-27T02:46:01.560828Z", + "shell.execute_reply": "2024-11-27T02:46:01.559466Z" } }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "Mean: 0%| | 0/6 [00:00\n", "\n", "locality-cali\n", - "0.413
(0.387,0.438)\n", + "0.413
(0.387,0.437)\n", "0.410
(0.401,0.419)\n", "0.000
(0.000,0.000)\n", "0.380
(0.315,0.431)\n", @@ -600,15 +353,15 @@ "\n", "\n", "mmr\n", - "0.363
(0.328,0.396)\n", - "0.554
(0.510,0.601)\n", + "0.363
(0.327,0.397)\n", + "0.554
(0.509,0.601)\n", "0.000
(0.000,0.000)\n", "0.000
(0.000,0.000)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "nrms\n", - "0.410
(0.384,0.436)\n", + "0.410
(0.385,0.436)\n", "0.408
(0.399,0.418)\n", "0.000
(0.000,0.000)\n", "0.380
(0.315,0.431)\n", @@ -617,7 +370,7 @@ "\n", "pfar\n", "0.413
(0.387,0.438)\n", - "0.410
(0.401,0.420)\n", + "0.410
(0.401,0.419)\n", "0.000
(0.000,0.000)\n", "0.380
(0.315,0.431)\n", "1.000
(1.000,1.000)\n", @@ -649,219 +402,6 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "Mean: 0%| | 0/6 [00:000.480
(0.457,0.503)\n", "0.368
(0.359,0.378)\n", "0.000
(0.000,0.000)\n", - "0.431
(0.395,0.457)\n", + "0.431
(0.397,0.457)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "mmr\n", - "0.520
(0.467,0.570)\n", - "0.826
(0.737,0.924)\n", + "0.520
(0.466,0.569)\n", + "0.826
(0.736,0.922)\n", "0.000
(0.000,0.000)\n", "0.333
(0.315,0.356)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "nrms\n", - "0.477
(0.454,0.500)\n", - "0.367
(0.357,0.376)\n", + "0.477
(0.455,0.500)\n", + "0.367
(0.357,0.377)\n", "0.000
(0.000,0.000)\n", - "0.431
(0.395,0.455)\n", + "0.431
(0.395,0.453)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "pfar\n", - "0.480
(0.457,0.502)\n", + "0.480
(0.457,0.503)\n", "0.368
(0.359,0.378)\n", "0.000
(0.000,0.000)\n", - "0.431
(0.395,0.457)\n", + "0.431
(0.397,0.455)\n", "1.000
(1.000,1.000)\n", "\n", "\n", @@ -929,10 +469,10 @@ "\n", "\n", "topic-cali\n", - "0.480
(0.457,0.503)\n", + "0.480
(0.457,0.502)\n", "0.368
(0.359,0.378)\n", "0.000
(0.000,0.000)\n", - "0.431
(0.394,0.455)\n", + "0.431
(0.395,0.455)\n", "1.000
(1.000,1.000)\n", "\n", "\n", @@ -946,219 +486,6 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "Mean: 0%| | 0/6 [00:00\n", "\n", "mmr\n", - "0.320
(0.296,0.344)\n", + "0.320
(0.295,0.343)\n", "0.385
(0.372,0.399)\n", "0.000
(0.000,0.000)\n", "0.143
(0.143,0.167)\n", @@ -1210,15 +537,15 @@ "\n", "\n", "pfar\n", - "0.377
(0.355,0.399)\n", + "0.377
(0.355,0.400)\n", "0.364
(0.353,0.377)\n", "0.000
(0.000,0.000)\n", - "0.250
(0.200,0.250)\n", + "0.250
(0.225,0.250)\n", "1.000
(1.000,1.000)\n", "\n", "\n", "softmax\n", - "0.345
(0.323,0.366)\n", + "0.345
(0.322,0.366)\n", "0.353
(0.340,0.367)\n", "0.000
(0.000,0.000)\n", "0.200
(0.200,0.250)\n", @@ -1246,7 +573,7 @@ ], "source": [ "for metric in effectiveness_metrics:\n", - " tw = EvalTable(mind_subset_user_metrics, \"recommender\", metric, progress=notebook_tqdm)\n", + " tw = EvalTable(mind_subset_user_metrics, \"recommender\", metric)\n", " tw.add_stat(\"Mean\", np.mean, ci=True)\n", " tw.add_stat(\"Std Dev\", np.std, ci=True)\n", " tw.add_quantiles([\"10%ile\", \"Median\", \"90%ile\"], [0.1, 0.5, 0.9], ci=True)\n", @@ -1256,7 +583,7 @@ }, { "cell_type": "markdown", - "id": "4851f833", + "id": "aa9ef6da", "metadata": {}, "source": [ "### 2. 2 Ranking Overlap Metrics\n", @@ -1265,20 +592,20 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "ffafe35e", + "execution_count": 7, + "id": "76ee2cd0", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T22:00:07.836300Z", - "iopub.status.busy": "2024-11-26T22:00:07.836051Z", - "iopub.status.idle": "2024-11-26T22:00:08.279970Z", - "shell.execute_reply": "2024-11-26T22:00:08.279201Z" + "iopub.execute_input": "2024-11-27T02:46:01.563410Z", + "iopub.status.busy": "2024-11-27T02:46:01.563181Z", + "iopub.status.idle": "2024-11-27T02:46:02.011355Z", + "shell.execute_reply": "2024-11-27T02:46:02.010526Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1301,7 +628,7 @@ }, { "cell_type": "markdown", - "id": "cb9f3a6e", + "id": "c51771dc", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for ranking overlap metrics across recommenders." @@ -1309,230 +636,17 @@ }, { "cell_type": "code", - "execution_count": 9, - "id": "f9494ca3", + "execution_count": 8, + "id": "0582a666", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T22:00:08.281836Z", - "iopub.status.busy": "2024-11-26T22:00:08.281655Z", - "iopub.status.idle": "2024-11-26T22:00:27.874075Z", - "shell.execute_reply": "2024-11-26T22:00:27.873000Z" + "iopub.execute_input": "2024-11-27T02:46:02.013467Z", + "iopub.status.busy": "2024-11-27T02:46:02.013278Z", + "iopub.status.idle": "2024-11-27T02:46:21.219969Z", + "shell.execute_reply": "2024-11-27T02:46:21.219108Z" } }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r", - "Mean: 0%| | 0/6 [00:00\n", "\n", "locality-cali\n", - "0.604
(0.596,0.612)\n", + "0.604
(0.596,0.613)\n", "0.133
(0.118,0.150)\n", "0.525
(0.371,0.525)\n", "0.651
(0.651,0.651)\n", @@ -1882,7 +783,7 @@ "\n", "pfar\n", "0.604
(0.596,0.612)\n", - "0.133
(0.118,0.150)\n", + "0.133
(0.118,0.149)\n", "0.525
(0.371,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", @@ -1898,7 +799,7 @@ "\n", "topic-cali\n", "0.604
(0.596,0.612)\n", - "0.133
(0.119,0.150)\n", + "0.133
(0.118,0.149)\n", "0.525
(0.371,0.525)\n", "0.651
(0.651,0.651)\n", "0.651
(0.651,0.651)\n", @@ -1917,7 +818,7 @@ ], "source": [ "for metric in overlap_metrics:\n", - " tw = EvalTable(mind_subset_user_metrics, \"recommender\", metric, progress=notebook_tqdm)\n", + " tw = EvalTable(mind_subset_user_metrics, \"recommender\", metric)\n", " tw.add_stat(\"Mean\", np.mean, ci=True)\n", " tw.add_stat(\"Std Dev\", np.std, ci=True)\n", " tw.add_quantiles([\"10%ile\", \"Median\", \"90%ile\"], [0.1, 0.5, 0.9], ci=True)\n", diff --git a/notebooks/mind-subset.md b/notebooks/mind-subset.md index 9db5ba8b..1ff6a0d8 100644 --- a/notebooks/mind-subset.md +++ b/notebooks/mind-subset.md @@ -44,12 +44,6 @@ from IPython.display import HTML from poprox_recommender.eval_tables import EvalTable ``` -Set up progress: - -```{code-cell} ipython3 -from tqdm.autonotebook import tqdm as notebook_tqdm -``` - ### 1. 2 Loading Data ```{code-cell} ipython3 @@ -85,7 +79,7 @@ The summary tables show the mean values, standard deviation, and quantiles (10%i ```{code-cell} ipython3 for metric in effectiveness_metrics: - tw = EvalTable(mind_subset_user_metrics, "recommender", metric, progress=notebook_tqdm) + tw = EvalTable(mind_subset_user_metrics, "recommender", metric) tw.add_stat("Mean", np.mean, ci=True) tw.add_stat("Std Dev", np.std, ci=True) tw.add_quantiles(["10%ile", "Median", "90%ile"], [0.1, 0.5, 0.9], ci=True) @@ -112,7 +106,7 @@ The summary tables show the mean values, standard deviation, and quantiles (10%i ```{code-cell} ipython3 for metric in overlap_metrics: - tw = EvalTable(mind_subset_user_metrics, "recommender", metric, progress=notebook_tqdm) + tw = EvalTable(mind_subset_user_metrics, "recommender", metric) tw.add_stat("Mean", np.mean, ci=True) tw.add_stat("Std Dev", np.std, ci=True) tw.add_quantiles(["10%ile", "Median", "90%ile"], [0.1, 0.5, 0.9], ci=True) diff --git a/notebooks/mind-val.ipynb b/notebooks/mind-val.ipynb index bc9c70e4..d67354d4 100644 --- a/notebooks/mind-val.ipynb +++ b/notebooks/mind-val.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "929f3a03", + "id": "ce20f658", "metadata": {}, "source": [ "# Offline Evaluation Metrics Visualizations\n", @@ -13,7 +13,7 @@ }, { "cell_type": "markdown", - "id": "e99caddf", + "id": "61343f30", "metadata": {}, "source": [ "## 1. Setup" @@ -21,7 +21,7 @@ }, { "cell_type": "markdown", - "id": "4a4e8a0b", + "id": "7f1429fd", "metadata": {}, "source": [ "### 1. 1 Importing Libraries" @@ -29,7 +29,7 @@ }, { "cell_type": "markdown", - "id": "e43c941e", + "id": "db135839", "metadata": {}, "source": [ "PyData packages:" @@ -38,13 +38,13 @@ { "cell_type": "code", "execution_count": 1, - "id": "c6892756", + "id": "3d87468d", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T19:26:27.067164Z", - "iopub.status.busy": "2024-11-26T19:26:27.067007Z", - "iopub.status.idle": "2024-11-26T19:26:27.924038Z", - "shell.execute_reply": "2024-11-26T19:26:27.923012Z" + "iopub.execute_input": "2024-11-27T00:14:59.642909Z", + "iopub.status.busy": "2024-11-27T00:14:59.642758Z", + "iopub.status.idle": "2024-11-27T00:15:03.282219Z", + "shell.execute_reply": "2024-11-27T00:15:03.281336Z" } }, "outputs": [], @@ -57,7 +57,7 @@ }, { "cell_type": "markdown", - "id": "3fd29064", + "id": "acf9b642", "metadata": {}, "source": [ "Local code:" @@ -66,13 +66,13 @@ { "cell_type": "code", "execution_count": 2, - "id": "d90e1a87", + "id": "6a317a76", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T19:26:27.926858Z", - "iopub.status.busy": "2024-11-26T19:26:27.926617Z", - "iopub.status.idle": "2024-11-26T19:26:27.931317Z", - "shell.execute_reply": "2024-11-26T19:26:27.930732Z" + "iopub.execute_input": "2024-11-27T00:15:03.285097Z", + "iopub.status.busy": "2024-11-27T00:15:03.284849Z", + "iopub.status.idle": "2024-11-27T00:15:03.290999Z", + "shell.execute_reply": "2024-11-27T00:15:03.290390Z" } }, "outputs": [], @@ -84,41 +84,7 @@ }, { "cell_type": "markdown", - "id": "0c730e27", - "metadata": {}, - "source": [ - "Set up progress:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2084d687", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-26T19:26:27.933483Z", - "iopub.status.busy": "2024-11-26T19:26:27.933331Z", - "iopub.status.idle": "2024-11-26T19:26:27.940332Z", - "shell.execute_reply": "2024-11-26T19:26:27.939701Z" - } - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/tmp/ipykernel_340315/2439040576.py:1: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from tqdm.autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], - "source": [ - "from tqdm.autonotebook import tqdm as notebook_tqdm" - ] - }, - { - "cell_type": "markdown", - "id": "929f3bba", + "id": "037f57ab", "metadata": {}, "source": [ "### 1. 2 Loading Data" @@ -126,14 +92,14 @@ }, { "cell_type": "code", - "execution_count": 4, - "id": "89a97468", + "execution_count": 3, + "id": "2e404fd4", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T19:26:27.941972Z", - "iopub.status.busy": "2024-11-26T19:26:27.941816Z", - "iopub.status.idle": "2024-11-26T19:26:30.398200Z", - "shell.execute_reply": "2024-11-26T19:26:30.397599Z" + "iopub.execute_input": "2024-11-27T00:15:03.293202Z", + "iopub.status.busy": "2024-11-27T00:15:03.293042Z", + "iopub.status.idle": "2024-11-27T00:15:05.723482Z", + "shell.execute_reply": "2024-11-27T00:15:05.722782Z" } }, "outputs": [ @@ -250,7 +216,7 @@ "4 True 0.0 0.30103 0.1 0.409510 0.651322 " ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -262,14 +228,14 @@ }, { "cell_type": "code", - "execution_count": 5, - "id": "362f3bc5", + "execution_count": 4, + "id": "8572d6b2", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T19:26:30.399885Z", - "iopub.status.busy": "2024-11-26T19:26:30.399716Z", - "iopub.status.idle": "2024-11-26T19:26:30.402768Z", - "shell.execute_reply": "2024-11-26T19:26:30.402059Z" + "iopub.execute_input": "2024-11-27T00:15:05.725413Z", + "iopub.status.busy": "2024-11-27T00:15:05.725239Z", + "iopub.status.idle": "2024-11-27T00:15:05.728470Z", + "shell.execute_reply": "2024-11-27T00:15:05.727886Z" } }, "outputs": [], @@ -280,7 +246,7 @@ }, { "cell_type": "markdown", - "id": "99d1aac6", + "id": "e631696b", "metadata": {}, "source": [ "## 2. Results" @@ -288,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "fa366cc6", + "id": "3edde1e6", "metadata": {}, "source": [ "### 2. 1 Effectiveness Metrics\n", @@ -297,20 +263,20 @@ }, { "cell_type": "code", - "execution_count": 6, - "id": "4472f72e", + "execution_count": 5, + "id": "5ba52445", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T19:26:30.404562Z", - "iopub.status.busy": "2024-11-26T19:26:30.404418Z", - "iopub.status.idle": "2024-11-26T19:27:23.165004Z", - "shell.execute_reply": "2024-11-26T19:27:23.164291Z" + "iopub.execute_input": "2024-11-27T00:15:05.730116Z", + "iopub.status.busy": "2024-11-27T00:15:05.729963Z", + "iopub.status.idle": "2024-11-27T00:16:00.482932Z", + "shell.execute_reply": "2024-11-27T00:16:00.482192Z" } }, "outputs": [ { "data": { - "image/png": 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LzMxMzJkzB2lpaXB2dsaOHTtgb28PAEhLS1MbnLOgoADBwcE4f/48zMzM0KpVK3z00UcYM2aMsk6PHj3w9ddfY8aMGZg5cyZatWqFqKgodO3atdKPj4iqHzbsRERGpvhln4MGDVLmx8XFYcCAARrrW1lZ4fjx42rzwsLC8PPPP+Pbb79V7t0kIqoKAgMDERgYWOKyiIgItekJEyaonU0vzeDBgzF48GBtlEdEVC5s2ImIjFB5Lvs0MTGBs7Oz2vaNGzeGpaWlxnwiIiIiMhxs2ImIjFB5L/skIiIiIuPDhp2IyEiV57LPB82aNQuzZs3SflFEREREpDV8rBsRERERERGRAWLDTkRERERERGSA2LATERERERERGSA27EREREREREQGiA07ERERERERkQFiw05ERERERERkgPTesIeFhcHBwQGWlpZwc3NDfHx8qevu27cPHh4eaNCgAWrWrAknJycsWbKkEqslIiIiIiIiqhx6fQ57VFQUJk+ejLCwMHh4eGDVqlXo27cvkpOT0bx5c431a9eujfHjx+Opp55C7dq1sW/fPowZMwa1a9fG6NGj9XAERERERERERLqh1zPsixcvhr+/P0aNGoV27dohNDQUdnZ2CA8PL3F9FxcXDB06FB06dECLFi3w+uuvo0+fPg89K09ERERERERkjPTWsOfm5iIhIQE+Pj5q8318fHDgwIEy7SMxMREHDhyAl5dXqevk5OQgKytL7UVERERERERk6PTWsGdkZCA/Px82NjZq821sbJCenv7QbZs1awYLCwu4u7tj3LhxGDVqVKnrhoSEwNraWnnZ2dlppX4iIiIiIiIiXdL7oHMqlUptWkQ05j0oPj4eR44cwcqVKxEaGorIyMhS1w0ODsbNmzeV18WLF7VSNxEREREREZEu6W3QuYYNG8LU1FTjbPrVq1c1zro/yMHBAQDQsWNHXLlyBbNmzcLQoUNLXNfCwgIWFhbaKZqIiIiIiIiokujtDLu5uTnc3NwQFxenNj8uLg49evQo835EBDk5Odouj4iIiIiIiEiv9PpYt6CgIAwfPhzu7u7o3r07Vq9ejdTUVAQEBAAovJz90qVL2LRpEwBgxYoVaN68OZycnAAUPpd90aJFmDBhgt6OgYiIiIiIiEgX9Nqw+/r6IjMzE3PmzEFaWhqcnZ2xY8cO2NvbAwDS0tKQmpqqrF9QUIDg4GCcP38eZmZmaNWqFT766COMGTNGX4dAREREREREpBN6H3QuMDAQFy5cQE5ODhISEtCzZ09lWUREBPbs2aNMT5gwAX/++Sdu376Nmzdv4ujRoxg7dixMTPR+GERERERkAMLCwuDg4ABLS0u4ubkhPj6+1HW3bt0Kb29vNGrUCFZWVujevTtiYmLU1omIiIBKpdJ43bt3T9eHQkSk/4adiIiIiEgboqKiMHnyZEyfPh2JiYnw9PRE37591a7YLG7v3r3w9vbGjh07kJCQgGeffRb9+/dHYmKi2npWVlZIS0tTe1laWlbGIRFRNafXS+KJiIiIiLRl8eLF8Pf3x6hRowAAoaGhiImJQXh4OEJCQjTWDw0NVZtesGABoqOjsX37dri4uCjzVSoVmjRpotPaiYhKwjPsRESV7O+//8Zvv/2G33//HX///be+yyEiqhJyc3ORkJAAHx8ftfk+Pj44cOBAmfZRUFCAW7duoX79+mrzs7OzYW9vj2bNmuHFF1/UOAP/oJycHGRlZam9iIgqgg07EVElWbJkCezs7NCyZUt0794d3bp1Q8uWLWFnZ6dxloeIiMonIyMD+fn5sLGxUZtvY2OD9PT0Mu3j008/xe3btzFkyBBlnpOTEyIiIvD9998jMjISlpaW8PDwwJkzZ0rdT0hICKytrZWXnZ1dxQ6KiKo9XhJPRFQJ5s6di0WLFmHatGno06cPbGxsICK4evUqYmJiMGvWLGRnZ2PGjBn6LpWIyKipVCq1aRHRmFeSyMhIzJo1C9HR0WjcuLEyv1u3bujWrZsy7eHhAVdXVyxfvhzLli0rcV/BwcEICgpSprOysti0E1GFsGEnIqoEq1evxsaNGzFw4EC1+U2bNkWnTp3Qtm1bjB8/ng07EVEFNWzYEKamphpn069evapx1v1BUVFR8Pf3x+bNm/Hcc889dF0TExN07tz5oWfYLSwsYGFhUfbiiYhKwUviiYgqQWZmJhwdHUtd3rZtW/z777+VWBERUdVibm4ONzc3xMXFqc2Pi4tDjx49St0uMjISI0eOxFdffYUXXnjhke8jIkhKSoKtre1j10xE9Chaa9ivXbuG+/fva2t3RERVSpcuXTB//nzk5eVpLMvLy8OCBQvQpUsXPVRGRFR1BAUFYe3atVi/fj1SUlIwZcoUpKamIiAgAEDhpep+fn7K+pGRkfDz88Onn36Kbt26IT09Henp6bh586ayzuzZsxETE4Nz584hKSkJ/v7+SEpKUvZJRKRL5b4kfvXq1RgxYgQsLCwgIggJCcEnn3yCrKwsWFpaYsyYMVi0aBFMTHjynoioyPLly+Hj44PGjRvDy8sLNjY2UKlUSE9Px969e2FhYaFxVoiIiMrH19cXmZmZmDNnDtLS0uDs7IwdO3bA3t4eAJCWlqb2TPZVq1YhLy8P48aNw7hx45T5I0aMQEREBADgxo0bGD16NNLT02FtbQ0XFxfs3buXH7ISUaUod8M+duxYDBw4EI0bN8bq1auxYMECzJkzB926dcPRo0cxY8YMtGzZEuPHj9dFvURERqljx444ffo0vvjiCxw6dAjnz58HADRp0gTz58/HsGHDYGVlpecqiYiMX2BgIAIDA0tcVtSEF9mzZ88j97dkyRIsWbJEC5UREZVfuRt2EVH+f926dZg7dy6mTJkCAOjRowcsLS2xfPlyNuxERA+oW7cuxo4di7Fjx+q7FCIiIiIyAhW6br3o0Rjnz59H79691Zb16tUL586de/zKiIiqkfv376tdpklEREREVKHHuu3cuRPW1taoWbMm7t69q7bs7t27vH+diKickpOT4erqivz8fH2XQkREREQGokIN+4gRI5T/3717N7p27apMHzx4EK1atXr8yoiIiIiIiIiqsXI37AUFBQ9d3qRJE4SEhFS4ICKiqsjV1fWhyx+8WomIiIiIqEJn2B/mxRdf1PYuiYiMXnJyMl599VU4ODiUuDwtLQ2nT5+u5KqIiIiIyJA9VsP+zz//YMeOHfj333/RqlUrvPTSSzA3N9dWbUREVYazszO6du1a6gjxSUlJWLNmTbn2GRYWhk8++QRpaWno0KEDQkND4enpWeK6+/btw/vvv4+TJ0/izp07sLe3x5gxY5SnfBARERGR4anw6HDBwcHo3Lkz9u3bh+vXr2Pt2rXo2LEjRzkmIirBf/7zH5w6darU5XXr1kXPnj3LvL+oqChMnjwZ06dPR2JiIjw9PdG3b99SM7h27doYP3489u7di5SUFMyYMQMzZszA6tWry30sRERERFQ5KnSGfdSoUbh8+TKSk5PxxBNPKPPDwsIQEBCAHTt24Oeff0avXr20VigRkTELDQ196PJWrVrhl19+KfP+Fi9eDH9/f4waNUrZf0xMDMLDw0scR8TFxQUuLi7KdIsWLbB161bEx8dj9OjRZX5fIiIiIqo85W7Yd+/ejV27diE5ORnLli1Dbm6usuz+/fvYtWsX7ty5g+nTp2PixIkYOnSoVgsmIqrucnNzkZCQgKlTp6rN9/HxwYEDB8q0j8TERBw4cADz5s0rdZ2cnBzk5OQo01lZWRUrmIiIiIgqpNwN++rVqzFx4kTUqlULGRkZWLZsGby8vFCnTh3ExMTA19cXeXl5mDFjBj788EM27ERED3jc8T8yMjKQn58PGxsbtfk2NjZIT09/6LbNmjXDtWvXkJeXh1mzZiln6EsSEhKC2bNnl7kuIiIiItKuct/DfuTIEWVQo7S0NHz88ceIi4vDtm3bEBsbi2PHjsHKygq9e/dGUlISsrOztV40EZGx0ub4HyqVSm1aRDTmPSg+Ph5HjhzBypUrERoaisjIyIfWevPmTeV18eLFctdIRERERBVX7jPsWVlZsLS0BFB4eXzxSzI9PDxw8uRJpKWlwdbWFmZmZrhx4wbq1KmjvYqJiIyUtsb/aNiwIUxNTTXOpl+9elXjrPuDih4r17FjR1y5cgWzZs0q9UooCwsLWFhYlOXQiIiIiEgHyt2wN2vWDOfPn0fHjh3h4OCAb775Bh07dgQAbNu2DRYWFrCxscHVq1dRUFCARo0aab1oIiJjo83xP8zNzeHm5oa4uDgMGjRImR8XF4cBAwaUuSYRUbtHnYiIiIgMS7kb9ueffx5RUVF46aWXsHjxYgwYMACbN29GrVq1cPr0aaxatQomJibYtm0bunXrxrMzRETQ/vgfQUFBGD58ONzd3dG9e3esXr0aqampCAgIAFB4OfulS5ewadMmAMCKFSvQvHlzODk5ASh8LvuiRYswYcIE3R44EREREVVYuRv28ePHo0OHDjh8+DC6d++Os2fPYv/+/cjNzUWXLl1ga2uLjIwMzJ07l8/3JSL6f0eOHME777wD4H/jf0yePBlAYfMcGBiojP8xYMAAZGdnP/R2Il9fX2RmZmLOnDlIS0uDs7MzduzYAXt7e+U9it8XX1BQgODgYJw/fx5mZmZo1aoVPvroI4wZM0Z3B01EREREj6XcDfuTTz6JsLAwDBgwABs3boS3tzf69u2rLD916hSGDBmCQYMGoV+/flotlojIWOli/I/AwEAEBgaWuCwiIkJtesKECTybTkRERGRkyt2wA8CwYcNQr149jB49Go0aNUKPHj1gaWmJY8eO4fDhw5g6dapyJomIiDj+BxERERGVX7kf61akX79+OHPmDEJCQmBvb48GDRpg9OjROH/+PJt1IqIHFI3/AQCLFy/GqlWr4OTkBFdXV/j5+WHlypUc/4OISAvCwsLg4OAAS0tLuLm5IT4+vtR1t27dCm9vbzRq1AhWVlbo3r07YmJiNNbbsmUL2rdvDwsLC7Rv3x7btm3T5SEQESkqdIZd2djMDL1790bv3r21VQ8RUZXE8T+IiMpv69atmDVrFv74448yrR8VFYXJkycjLCwMHh4eWLVqFfr27Yvk5GQ0b95cY/29e/fC29sbCxYsQL169bBhwwb0798fv/32G1xcXAAABw8ehK+vL+bOnYtBgwZh27ZtGDJkCPbt24euXbtq9XiJiB5U7oa9oKAAJ06cUC7lXLlypdrjiUxNTTF27FiYmFT45D0RUZXD8T+IiEq2Zs0axMbGokaNGpg0aRK6du2Kn3/+GW+//TZOnTqF4cOHl3lfixcvhr+/P0aNGgUACA0NRUxMDMLDwxESEqKxfmhoqNr0ggULEB0dje3btysNe2hoKLy9vREcHAyg8Ckcv/76K0JDQxEZGVnBoyYiKptyN+xff/01Vq1ahV9//RUA8O6776JevXowMyvcVUZGBiwtLeHv76/dSomIjBzH/yAiUrdo0SJMmzYNTz31FFJSUhAdHY3p06dj8eLFmDBhAsaNG4eGDRuWaV+5ublISEhQG9QTAHx8fHDgwIEy7aOgoAC3bt1C/fr1lXkHDx7ElClT1Nbr06ePRrNfXE5ODnJycpTprKysMr0/EdGDyt2wb9iwQXnOb5Fff/0VLVu2BFB4xv2LL75gw05EVIKi8T9+/fVX/PHHH8jLy8Po0aPxzTffoG7duvouj4ioUq1btw4rV67Em2++iT179qBXr174+eefcfbsWdSrV69c+8rIyEB+fj5sbGzU5tvY2CA9Pb1M+/j0009x+/ZtDBkyRJmXnp5e7n2GhIRg9uzZ5aieiKhk5W7YU1JS0L59+1KXe3l5Ydq0aY9VFBFRVcbxP4iICv3999947rnnAADPPPMMatSogfnz55e7WS9OpVKpTYuIxrySREZGYtasWYiOjkbjxo0fa5/BwcEICgpSprOysmBnZ1eW8omI1JS7Yc/IyFB7NvC5c+fQoEEDZbpGjRq4ffu2dqojIqoiOP4HEZGme/fuwdLSUpk2Nzev8GMtGzZsCFNTU40z31evXtU4Q/6gqKgo+Pv7Y/PmzcoHCEWaNGlS7n1aWFjwaR9EpBXlbthtbGxw6tQptGrVCgA0QjUlJQVNmjTRTnVERFUEx/8gIirZ2rVrlZNBeXl5iIiI0LhvfeLEiY/cj7m5Odzc3BAXF4dBgwYp8+Pi4jBgwIBSt4uMjMSbb76JyMhIvPDCCxrLu3fvjri4OLX72GNjY9GjR49H1kRE9LjK3bD37t0b8+fPL3EUYxFBSEgIL/MkInoAx/8gItLUvHlzrFmzRplu0qQJPv/8c7V1VCpVmRp2AAgKCsLw4cPh7u6O7t27Y/Xq1UhNTVXyNzg4GJcuXcKmTZsAFDbrfn5+WLp0Kbp166acSa9Zsyasra0BAJMmTULPnj2xcOFCDBgwANHR0di1axf27dv32MdPRPQo5W7Yp0+fDldXV3Tt2hXvvPMO2rZtC5VKhZMnT2LRokU4deqUEoJERFSI438QEWm6cOHCI9e5dOlSmffn6+uLzMxMzJkzB2lpaXB2dsaOHTtgb28PAEhLS0Nqaqqy/qpVq5CXl4dx48Zh3LhxyvwRI0YgIiICANCjRw98/fXXmDFjBmbOnIlWrVohKiqKz2AnokpR7oa9VatWiIuLw8iRI+Hr66sMuCEicHJyQmxsLFq3bq31QomIjBnH/yAiKp/09HQsWLAAa9aswd27d8u8XWBgIAIDA0tcVtSEF9mzZ0+Z9jl48GAMHjy4zDUQEWlLhUY36tKlC5KTk3H06FFERkYiMjISCQkJSE5O5qeNREQlKBr/o0ijRo3UBpjj+B9EVB3duHEDr732Gho1aoSmTZti2bJlKCgowAcffICWLVvi4MGDWL9+vb7LJCLSm3KfYQcKH01Rp04ddOrUCZ06dVLmFxQUIDs7G1ZWVtqqj4ioSuD4H0REmqZNm4a9e/dixIgR2LlzJ6ZMmYKdO3fi3r17+Omnn+Dl5aXvEomI9KrcZ9i3bdsGd3d33Lt3T2PZvXv30LlzZ2zfvl0rxRERVRXTp0/Hn3/+ia5du2Lz5s04duwY/vjjD3zzzTfo2rUrTpw4wXvYiaja+fHHH7FhwwYsWrQI33//PUQEbdu2xc8//8xmnYgIFWjYw8PD8d5776FWrVoay2rVqoX3338fn332WZn3FxYWBgcHB1haWsLNzQ3x8fGlrrt161Z4e3ujUaNGsLKyQvfu3RETE1PeQyAiqnRF43/cunULvr6+cHV1hYuLC1599VVkZ2dz/A8iqpYuX76sDMjZsmVLWFpaYtSoUXquiojIcJS7Yf/zzz/xzDPPlLq8Z8+eOH78eJn2FRUVhcmTJ2P69OlITEyEp6cn+vbtqzZ6Z3F79+6Ft7c3duzYgYSEBDz77LPo378/EhMTy3sYRESVjuN/EBGpKygoQI0aNZRpU1NT1K5dW48VEREZlnLfw/7vv/8iLy+v1OX379/Hv//+W6Z9LV68GP7+/sonqaGhoYiJiUF4eDhCQkI01g8NDVWbXrBgAaKjo7F9+3a4uLiU+B45OTnIyclRprOysspUGxGRtnH8DyIidSKCkSNHwsLCAkDh7ZUBAQEaTfvWrVv1UR4Rkd6V+wx7ixYtcOTIkVKXHzlyRHnW5cPk5uYiISEBPj4+avN9fHxw4MCBMtVSUFCAW7duoX79+qWuExISAmtra+VlZ2dXpn0TEWkTx/8gItI0YsQING7cWPk77fXXX0fTpk3V/naztrbWd5lERHpT7jPsL7/8MqZPnw5vb2/Y2NioLUtPT8eMGTPw+uuvP3I/GRkZyM/P19iHjY0N0tPTy1TLp59+itu3b2PIkCGlrhMcHIygoCBlOisri007EVW6so7/0b9/fz1UR0SkHxs2bNB3CUREBq3cDfvUqVMRHR2NNm3a4PXXX4ejoyNUKhVSUlLw5Zdfws7ODlOnTi3z/lQqldq0iGjMK0lkZCRmzZqF6OhoNG7cuNT1LCwslMusiIj05c8//0RYWFipy3v27IkZM2ZUYkVEREREZOjK3bDXrVsX+/fvR3BwMKKiopT71Z944gm8/vrrWLBgAerWrfvI/TRs2BCmpqYaZ9OvXr2qcdb9QVFRUfD398fmzZvx3HPPlfcQiIgqnTbH/yAiIiKi6qHc97ADgLW1NcLCwpCRkYErV64gPT0dGRkZCAsLQ7169cq0D3Nzc7i5uSEuLk5tflxcHHr06FHqdpGRkRg5ciS++uorvPDCCxUpn4io0mlr/A8iIiIiqj4q1LAXyczMxN9//42LFy/i+vXr5d4+KCgIa9euxfr165GSkoIpU6YgNTUVAQEBAArvP/fz81PWj4yMhJ+fHz799FN069YN6enpSE9Px82bNx/nMIiIdK5o/I8rV65oLCsa/+OVV17RQ2VEREREZKjKfUk8AJw4cQJjx47F/v371eZ7eXkhPDwcjo6OZdqPr68vMjMzMWfOHKSlpcHZ2Rk7duxQzjKlpaWpPZN91apVyMvLw7hx4zBu3Dhl/ogRIxAREVGRQyEiqhTaHv+DiIiIiKq+cjfs6enp8PLyQqNGjbB48WI4OTlBRJCcnIw1a9bA09MTf/7550MHgisuMDAQgYGBJS57sAnfs2dPecslIjII2hr/g4iIiIiqj3I37EuWLIG9vT32798PS0tLZf7zzz+PsWPH4j//+Q+WLFmCkJAQrRZKRGTsisb/WLFiBTIyMiAiaNSoUZmejEFERERE1U+572GPi4vD+++/r9asF6lZsybeffddxMTEaKU4IqKq6HHH/yAiIiKi6qHcDfu5c+fg6upa6nJ3d3ecO3fusYoiIqqKTpw4gZ49e8LGxgZdu3ZFly5d0LhxY/Tq1QunTp3Sd3lEREREZGDKfUn8rVu3YGVlVeryunXrIjs7+7GKIiKqarQ9/gcRERERVX0VGiX+1q1bJV4SDwBZWVkQkccqioioquH4H0RERERUXuW+JF5E0LZtWzzxxBMlvsr6SDciouqE438QEVWOsLAwODg4wNLSEm5uboiPjy913bS0NAwbNgyOjo4wMTHB5MmTNdaJiIiASqXSeN27d0+HR0FEVKjcZ9h/+eUXXdRBRFSl6WL8j7CwMHzyySdIS0tDhw4dEBoaCk9PzxLX3bp1K8LDw5GUlIScnBx06NABs2bNQp8+fcr1nkREhiwqKgqTJ09GWFgYPDw8sGrVKvTt2xfJyclo3ry5xvo5OTlo1KgRpk+fjiVLlpS6XysrK42xRkq72pSISJvK3bB7eXnpog4ioipN2+N/lPeP0r1798Lb2xsLFixAvXr1sGHDBvTv3x+//fYbXFxcKnRMRESGZvHixfD398eoUaMAAKGhoYiJiUF4eHiJtxy1aNECS5cuBQCsX7++1P2qVCo0adJEN0UTET1EuRt2ExOTRz4zWKVSIS8vr8JFERFVRdoc/6O8f5SGhoaqTS9YsADR0dHYvn07G3YiqhJyc3ORkJCAqVOnqs338fHBgQMHHmvf2dnZsLe3R35+Pjp16oS5c+c+NDtzcnKQk5OjTGdlZT3W+xNR9VXuhn3btm2lLjtw4ACWL1/OQeeIiB5QNP7Hw5Y/6sPQItr4o7SgoAC3bt1C/fr1S12Hf3ASkTHJyMhAfn4+bGxs1Obb2NggPT29wvt1cnJCREQEOnbsiKysLCxduhQeHh44duwY2rRpU+I2ISEhmD17doXfk4ioSLkb9gEDBmjMO3nyJIKDg7F9+3a89tprmDt3rlaKIyKqKrQ5/oc2/ij99NNPcfv2bQwZMqTUdfgHJxEZowc//CzPB6Il6datG7p166ZMe3h4wNXVFcuXL8eyZctK3CY4OBhBQUHKdFZWFuzs7CpcAxFVXxV6rFuRy5cv48MPP8TGjRvRp08fJCUlwdnZWVu1ERFVGboY/6Oif5RGRkZi1qxZiI6Ofuhz3/kHJxEZk4YNG8LU1FTjg8urV69qfMD5OExMTNC5c2ecOXOm1HUsLCxgYWGhtfckouqr3I91A4CbN2/i/fffR+vWrXHixAns3r0b27dvZ7NORFQKExMTmJqaPvRlZla2z1Af54/SqKgo+Pv745tvvsFzzz330HUtLCxgZWWl9iIiMlTm5uZwc3NDXFyc2vy4uDj06NFDa+8jIkhKSoKtra3W9klEVJpyn2H/+OOPsXDhQjRp0gSRkZElXiJPRETqtDn+R/E/SgcNGqTMj4uLe2gmR0ZG4s0330RkZCReeOGFshdPRGQkgoKCMHz4cLi7u6N79+5YvXo1UlNTERAQAKDwyqFLly5h06ZNyjZJSUkACgeWu3btGpKSkmBubo727dsDAGbPno1u3bqhTZs2yMrKwrJly5CUlIQVK1ZU+vERUfVT7oZ96tSpqFmzJlq3bo2NGzdi48aNJa63devWxy6OiKiq0Pb4H+X9ozQyMhJ+fn5YunQpunXrppydr1mzJqytrbVwhERE+ufr64vMzEzMmTMHaWlpcHZ2xo4dO2Bvbw8ASEtLQ2pqqto2xUd7T0hIwFdffQV7e3tcuHABAHDjxg2MHj0a6enpsLa2houLC/bu3YsuXbpU2nERUfVV7obdz8/vsQbuICKq7rQx/kd5/yhdtWoV8vLyMG7cOIwbN06ZP2LECERERGjluIiIDEFgYCACAwNLXFZS3j3q6qYlS5ZgyZIl2iiNiKjcyt2w8w87IqKKuXnzJhYsWIDly5ejU6dO2L17Nzw9PSu8v/L8Ubpnz54Kvw8RERER6cdjjRJPRERlw/E/iIiIiKi82LATEVUCjv9BREREROXFhp2IqBJw/A8iIiIiKi827ERElYDjfxARERFReZnouwAiIiIiIiIi0sSGnYiIiIiIiMgAsWEnIiIiIiIiMkBs2ImIiIiIiIgMEBt2IiIiIiIiIgPEhp2IiIiIiIjIALFhJyIiIiIiIjJAbNiJiIiIiIiIDBAbdiIiIiIiIiIDxIadiIiIiIiIyACxYSciIiIiIiIyQGzYiYiIiIiIiAwQG3YiIiIiIiIiA8SGnYiIiIiqjLCwMDg4OMDS0hJubm6Ij48vdd20tDQMGzYMjo6OMDExweTJk0tcb8uWLWjfvj0sLCzQvn17bNu2TUfVExGpY8NORERERFVCVFQUJk+ejOnTpyMxMRGenp7o27cvUlNTS1w/JycHjRo1wvTp0/H000+XuM7Bgwfh6+uL4cOH49ixYxg+fDiGDBmC3377TZeHQkQEgA07EREREVURixcvhr+/P0aNGoV27dohNDQUdnZ2CA8PL3H9Fi1aYOnSpfDz84O1tXWJ64SGhsLb2xvBwcFwcnJCcHAwevfujdDQUB0eCRFRITbsRERERGT0cnNzkZCQAB8fH7X5Pj4+OHDgQIX3e/DgQY199unT56H7zMnJQVZWltqLiKgi2LATERERkdHLyMhAfn4+bGxs1Obb2NggPT29wvtNT08v9z5DQkJgbW2tvOzs7Cr8/kRUvbFhJyIiIqIqQ6VSqU2LiMY8Xe8zODgYN2/eVF4XL158rPcnourLTN8FEBERERE9roYNG8LU1FTjzPfVq1c1zpCXR5MmTcq9TwsLC1hYWFT4PYmIiuj9DLsuHr1BRERERNWLubk53NzcEBcXpzY/Li4OPXr0qPB+u3fvrrHP2NjYx9onEVFZ6bVh18WjN4iIiIioegoKCsLatWuxfv16pKSkYMqUKUhNTUVAQACAwkvV/fz81LZJSkpCUlISsrOzce3aNSQlJSE5OVlZPmnSJMTGxmLhwoU4efIkFi5ciF27dvHEERFVCr1eEl/80RtA4WMzYmJiEB4ejpCQEI31ix69AQDr16+v1FqJiIiIyLD5+voiMzMTc+bMQVpaGpydnbFjxw7Y29sDKLxa88ETQy4uLsr/JyQk4KuvvoK9vT0uXLgAAOjRowe+/vprzJgxAzNnzkSrVq0QFRWFrl27VtpxEVH1pbeGvejRG1OnTlWb/7iP3nhQTk4OcnJylGk+VoOIiIio6goMDERgYGCJyyIiIjTmicgj9zl48GAMHjz4cUsjIio3vV0Sr6tHbzyIj9UgIiIiIiIiY6T3Qed08eiN4vhYDSIiIiIiIjJGerskXleP3ngQH6tBRERERERExkhvZ9h19egNIiIiIiIioqpAr6PEBwUFYfjw4XB3d0f37t2xevVqjUdvXLp0CZs2bVK2SUpKAgC1R2+Ym5ujffv2+jgEIiIiIiIiIp3Q6z3svr6+CA0NxZw5c9CpUyfs3bu3TI/ecHFxUR674eLign79+umjfCIivQoLC4ODgwMsLS3h5uaG+Pj4UtdNS0vDsGHD4OjoCBMTEz4/mIiIiMgI6PUMO6CbR28QEVV1UVFRmDx5MsLCwuDh4YFVq1ahb9++SE5ORvPmzTXWz8nJQaNGjTB9+nQsWbJEDxUTERERUXnpfZR4IiIqv8WLF8Pf3x+jRo1Cu3btEBoaCjs7O4SHh5e4fosWLbB06VL4+fnB2tq6kqslIiIioopgw05EZGRyc3ORkJAAHx8ftfk+Pj44cOCA1t4nJycHWVlZai8iIiIiqjxs2ImIjExGRgby8/M1HoFpY2Oj8ajMxxESEgJra2vlZWdnp7V9ExEREdGjsWEnIjJSKpVKbVpENOY9juDgYNy8eVN5Xbx4UWv7JiIiIqJH0/ugc0REVD4NGzaEqampxtn0q1evapx1fxwWFhawsLDQ2v6IiIiIqHx4hp2IyMiYm5vDzc0NcXFxavPj4uLQo0cPPVVFRERERNrGM+xEREYoKCgIw4cPh7u7O7p3747Vq1cjNTUVAQEBAAovZ7906RI2bdqkbJOUlAQAyM7OxrVr15CUlARzc3O0b99eH4dARERERI/Ahp2IyAj5+voiMzMTc+bMQVpaGpydnbFjxw7Y29sDANLS0pCamqq2jYuLi/L/CQkJ+Oqrr2Bvb48LFy5UZulEREREVEZs2ImIjFRgYCACAwNLXBYREaExT0R0XBERERERaRPvYSciIiIiIiIyQGzYiYiIiIiIiAwQG3YiIiIiIiIiA8SGnYiIiIiqjLCwMDg4OMDS0hJubm6Ij49/6Pq//vor3NzcYGlpiZYtW2LlypVqyyMiIqBSqTRe9+7d0+VhEBEBYMNORERERFVEVFQUJk+ejOnTpyMxMRGenp7o27evxlMzipw/fx79+vWDp6cnEhMTMW3aNEycOBFbtmxRW8/KygppaWlqL0tLy8o4JCKq5jhKPBERERFVCYsXL4a/vz9GjRoFAAgNDUVMTAzCw8MREhKisf7KlSvRvHlzhIaGAgDatWuHI0eOYNGiRXjllVeU9VQqFZo0aVIpx0BEVBzPsBMRERGR0cvNzUVCQgJ8fHzU5vv4+ODAgQMlbnPw4EGN9fv06YMjR47g/v37yrzs7GzY29ujWbNmePHFF5GYmPjQWnJycpCVlaX2IiKqCDbsRERERGT0MjIykJ+fDxsbG7X5NjY2SE9PL3Gb9PT0EtfPy8tDRkYGAMDJyQkRERH4/vvvERkZCUtLS3h4eODMmTOl1hISEgJra2vlZWdn95hHR0TVFRt2IiIiIqoyVCqV2rSIaMx71PrF53fr1g2vv/46nn76aXh6euKbb75B27ZtsXz58lL3GRwcjJs3byqvixcvVvRwiKia4z3sRERERGT0GjZsCFNTU42z6VevXtU4i16kSZMmJa5vZmaGBg0alLiNiYkJOnfu/NAz7BYWFrCwsCjnERARaeIZdiIiIiIyeubm5nBzc0NcXJza/Li4OPTo0aPEbbp3766xfmxsLNzd3VGjRo0StxERJCUlwdbWVjuFExE9BBt2IiIiIqoSgoKCsHbtWqxfvx4pKSmYMmUKUlNTERAQAKDwUnU/Pz9l/YCAAPz9998ICgpCSkoK1q9fj3Xr1uGdd95R1pk9ezZiYmJw7tw5JCUlwd/fH0lJSco+iYh0iZfEExEREVGV4Ovri8zMTMyZMwdpaWlwdnbGjh07YG9vDwBIS0tTeya7g4MDduzYgSlTpmDFihVo2rQpli1bpvZItxs3bmD06NFIT0+HtbU1XFxcsHfvXnTp0qXSj4+Iqh827ERERERUZQQGBiIwMLDEZRERERrzvLy8cPTo0VL3t2TJEixZskRb5RERlQsviSciIiIiIiIyQGzYiYiIiIiIiAwQG3YiIiIiIiIiA8SGnYiIiIiIiMgAsWEnIiIiIiIiMkBs2ImIiIiIiIgMEBt2IiIiIiIiIgPEhp2IiIiIiIjIALFhJyIiIiIiIjJAbNiJiIiIiIiIDBAbdiIiIiIiIiIDxIadiIiIiIiIyACxYSciIiIiIiIyQGzYiYiIiIiIiAwQG3YiIiIiIiIiA8SGnYiIiIiIiMgAsWEnIiIiIiIiMkBs2ImIiIiIiIgMkN4b9rCwMDg4OMDS0hJubm6Ij49/6Pq//vor3NzcYGlpiZYtW2LlypWVVCkRkWFhfhIRadJFNm7ZsgXt27eHhYUF2rdvj23btumqfCIiNXpt2KOiojB58mRMnz4diYmJ8PT0RN++fZGamlri+ufPn0e/fv3g6emJxMRETJs2DRMnTsSWLVsquXIiIv1ifhIRadJFNh48eBC+vr4YPnw4jh07huHDh2PIkCH47bffKuuwiKga02vDvnjxYvj7+2PUqFFo164dQkNDYWdnh/Dw8BLXX7lyJZo3b47Q0FC0a9cOo0aNwptvvolFixZVcuVERPrF/CQi0qSLbAwNDYW3tzeCg4Ph5OSE4OBg9O7dG6GhoZV0VERUnZnp641zc3ORkJCAqVOnqs338fHBgQMHStzm4MGD8PHxUZvXp08frFu3Dvfv30eNGjU0tsnJyUFOTo4yffPmTQBAVlaW2nr5OXcrdBza9mBdJWGt5cdadcOYay2aFhF9lPNYmJ8lM+afx5Kw1vJjrbphLPmpq2w8ePAgpkyZorHOwxr2suSnoXx/gUf/PLLWijHm3/OSsNbyK15rhbNT9OTSpUsCQPbv3682f/78+dK2bdsSt2nTpo3Mnz9fbd7+/fsFgFy+fLnEbT788EMBwBdffPFV4uvixYvaCbVKxPzkiy++DOFlaPmpq2ysUaOGfPnll2rrfPnll2Jubl5qLcxPvvjiq7RXebNTb2fYi6hUKrVpEdGY96j1S5pfJDg4GEFBQcp0QUEBrl+/jgYNGjz0fcorKysLdnZ2uHjxIqysrLS2X11grbrBWnVDV7WKCG7duoWmTZtqbZ+VjflZ+VirbrBW3aiu+amLbCzvPpmfmlirbrBW3dBFrRXNTr017A0bNoSpqSnS09PV5l+9ehU2NjYlbtOkSZMS1zczM0ODBg1K3MbCwgIWFhZq8+rVq1fxwh/BysrK4H8Ai7BW3WCtuqGLWq2trbW6v8rC/NQ/1qobrFU3qkt+6iobS1untH0CzM+HYa26wVp1Q9u1ViQ79TbonLm5Odzc3BAXF6c2Py4uDj169Chxm+7du2usHxsbC3d39xLvvyQiqoqYn0REmnSVjaWtU9o+iYi0Sa+jxAcFBWHt2rVYv349UlJSMGXKFKSmpiIgIABA4eVEfn5+yvoBAQH4+++/ERQUhJSUFKxfvx7r1q3DO++8o69DICLSC+YnEZEmXWTjpEmTEBsbi4ULF+LkyZNYuHAhdu3ahcmTJ1f24RFRdVSuO951YMWKFWJvby/m5ubi6uoqv/76q7JsxIgR4uXlpbb+nj17xMXFRczNzaVFixYSHh5eyRWX7N69e/Lhhx/KvXv39F3KI7FW3WCtumFMtVY25mflY626wVp1w5hq1SZdZOPmzZvF0dFRatSoIU5OTrJlyxZdH0aZGNP3mLXqBmvVDUOqVSViYM/kICIiIiIiIiL9XhJPRERERERERCVjw05ERERERERkgNiwExERERERERkgNuxEREREREREBogNO5GBKSgo0HcJRERGiflJRFQxzE/DxYadyEC8/fbbAAATE+P+tczLy9N3CURUzVSF/GR2EpE+MD8Nn/F+Z4iqkH379uH06dNqgWOMn3S+8cYb2LNnj77LUBQ9tZJPrySquqpCfhpadgLMT6LqgPmpG9rOTzbsemDo//hdvXpV3yWUqniI3L59W4+VaJe7uzuio6NhZmaGyMhIAIWfdBpTaN6/fx+Wlpbw8vIC8L/vlT5/3lUqFXbu3Int27frvRbSDkP/HjI/K5+x56chZifA/KxqjOH7x/ysfMxP3dB2frJhryQHDx7Epk2bABR+Ew3Vli1b0LdvX1y4cEHfpZSo6HKdoKAghIaGIjs7W88VPR5fX19s374dlpaWMDExwenTpzF+/Hj4+PgAMJ7QvHDhAmrUqIHw8HDUqFEDa9euRWRkJHJzc6FSqfQanKGhofjuu+8A6D/AqWKYn9rB/DQ8hpydAPPT2BlLdgLMz8rG/NQ9beYnG/ZKsGXLFgwcOBDHjx9HSkqKMl/fP0gP+vvvvxEWFoaAgADY29vruxw1xb9WCQkJ+Prrr9GrVy/UqVNHj1U9ntu3b0NE4Ovri927dwMAmjVrhnXr1uHixYvo168fAMMPzXfeeQfvvvsukpOTAQD5+flYu3YtFi5ciO3bt+s9OFu2bInr168DMO77s6or5ufjY34aZn4aenYCzE9jZizZCTA/Kxvzs3JoNT+FdOqXX36R2rVry+rVq/VdykMdPnxYJk2aJAMGDJDMzEzJy8vTd0kl+vTTT2XevHkyffp0fZeiFdevX5eAgAAxNzeXnTt3iojI3bt3JTo6Wtq0aSPPP/+8sm5+fr6+ynyoZcuWiZubm4wePVqOHz8uIiL37t2Tfv36iYuLi2zevFlycnJERKSgoKBSakpPT5f09HQREYmKipKuXbvK7du31b6GhvozTv/D/NQu5qdhMcTsFGF+VgXGkp0izE99YX7qhq7ykw27jhQUFEhBQYEEBQXJG2+8ISIi//77r+zZs0fGjBkjr776qvz555/Kuvr27rvvyhNPPCG2trbKD5qh/YLevn1bXnrpJVGpVDJ48GARMYyv3eO6fv26jBkzRi0079y5o4Rm3759lXUN6XiL17J+/XpxdXWVt956S5KSkkREJCcnR/r06VPpwXn48GGxsbERGxsbGThwoHTo0EGaN28uv/zyi5w4cUKn703awfzUPuan4RyvoWanCPPT2BlbdoowP/WJ+aldusxPNuw6NnPmTGnevLns2rVL/vvf/0qfPn3E29tbunbtKo6Ojgb1SeK8efOkadOmMmHCBLly5YqI6PcXtKT3Tk1NlTFjxkjNmjVlz549ImJ4wf4oRcdV/PiuXbtWYmh+//334uTkJO7u7nqp9VGKf+3XrVtXanC6ubnJt99+qwSnLt2/f1927dol3377rcydO1dee+01UalU4ujoKLa2tuLi4iIuLi4SGhpqUL9/pIn5WXHMT8POT0PMThHmZ1VhTNkpwvysLMxP3dJlfrJh14Hi34RDhw7JoEGDpFatWvLaa6/JTz/9JCIi+/btExcXF0lLS9NXmXLu3Dm5ePGiXLp0SZk3depUcXV1lZkzZ8q1a9dERD+h+WAIFv9lu3z5svj6+krdunXl999/FxHD+eTvUYof1/379+Xu3bvKdEZGhowePVrj8qSoqCjx9fU1qH8YSvt6r1mzpsTg7Nu3rzRr1kx+/vnnyixT0bVrV5k9e7YkJibKunXrZMqUKZKcnKyXWujhmJ+Pj/lpuPlpbNkpwvw0FsaSnSLMT31gfuqHtvKTDbuWxcXFyfjx4yU4OFjt8oeTJ0+qrTdlyhTx8PCQrKysyi5RRES2bNkizZs3l6ZNm0r//v0lMjJSWfbee++Jq6urfPjhh8onnZWpeDB89tln4uvrK/369ZPly5cr869cuSJDhgwRa2trOXz4sIgYfmgWP66lS5fKgAEDpHfv3jJ79mxl/vXr12X06NFiYWEhMTExIqL+j4UhhGbxGi5duiTnzp1TC/5Vq1ZpBOe9e/dkypQpWv9Uv+h7fuzYMdm8ebNER0fL+fPnleV37tyRe/fuSefOneXjjz/W6nuT9jE/Hx/z03Dz05CyU4T5WZUYS3aKMD/1gflp/PnJhl2Ldu3aJebm5jJkyBBp0KCBeHh4yNq1a9V+yA4fPiwTJkyQevXqKT9Qle3ixYvi5OQka9askYiICPHz85P27dvLmjVrlHWCg4PFwcFB5s+fr7df0vfff1+efPJJmTJlisybN09UKpXMnDlT+QW9cuWKDB06VFQqlaSkpOilxoqYOnWqNG3aVKZNmybLli0TlUolEydOlJs3b4pI4f1mAQEBolKp5LffftNzteqK/yx88MEH0rVrV6lZs6a8/vrrsmnTJmXZqlWrxM3NTcaMGaP8g1ZEW8FZFJZbtmyRRo0aSdeuXcXW1lYGDBggW7duVVt34sSJMmzYMLXtyLAwP7WL+WlY+WlI2SnC/KxKjCU7RZif+sb81A595Ccbdi1asGCBLFq0SEQKP6kaMmSIeHh4yKpVqyQ/P1/OnDkjQUFB4uHhIceOHdNbnf/884/4+fnJ/fv3RUQkOTlZxo0bJ46Ojmqh+eGHH8q5c+cqpSZnZ2cJCwtTpr/++mtp2bKlHDp0SEREYmJixMTERExMTCQgIEAJzbS0NJk5c6ZyLIZuy5Yt0rp1azlw4ICIFB6Xubm5mJmZyauvvqp86p2ZmSkLFy402OP68MMPpVGjRrJ161Y5dOiQeHl5SceOHdU+hV6zZo00a9ZMPvroIxHRzR96P//8szRq1EjCw8NFROSHH36QOnXqSJcuXeTLL79U1ps4caJ06tRJ758QU+mYnxXH/DSe/DSU7BRhflYVxpKdIsxPfWJ+aldl5ycbdi1ISUmRP//8U6ZNmybffvutMv/atWvi6+srHh4esn79ehEpHLSi6N6cyvbTTz+Jn5+fjBkzRnr37q22LCUlRcaNGyfOzs6ybNmySq1rwoQJ8vTTT6v9MG/cuFH5Bfzxxx/F2tpa1q5dK5s3bxaVSiXTp0+XO3fuqO3HEMOl+AAfeXl58tVXXylf3x07dki9evVkzZo1EhsbK6ampjJhwgS5ceOG2j4M7bj27t0rHTt2lL1794qIyK+//iqWlpbyn//8R5566ilZuXKlsm50dLTOBrfJycmRt99+WyZPniwiIhcuXJCWLVvKwIED5fnnn5eOHTvK5s2bRaTwssBTp07ppA56PMzPx8P8NJ78NJTsFGF+VgXGkp0izE99YH5Wrfxkw/6YvvnmG2nQoIHUr19fVCqV+Pv7qy3PzMyU119/XZycnGTjxo16qlIkNjZWLCws5MUXX5TOnTuLSqVS+0RRpPCHasSIEdK5c2f5999/K+3St//+97/y2muviUjhJ8UxMTHy77//yrlz5+TKlSvi5uYmn3zyiYiInDp1Sho0aCAqlUoWLlxYKfVVVPF/AIpC8MaNG3L+/HnJzMyULl26KJ8Anj9/Xp588knlsitD8uDPQVpamixevFhycnIkNjZWGjZsKOvXr5f09HRp3bq1ODo6yvz589W20VVwnjx5Uo4ePSpZWVni7u4ub775poiI7N69W+rUqSNt27aVqKgonbw3PT7m5+NjfhpufhpydoowP42ZsWSnCPNTH5ifhapSfrJhfwzXrl2TZ599VlavXi2//fabvPXWW/LUU0/J3Llz1dbLyMgQf39/tcEIKtM///wjX331lfKJ4blz5yQ4OFjq1q2r9omUiMjp06crbfTQoueFhoWFydNPPy1eXl5Sr149OXv2rLLO8ePHpV27dso9V6mpqTJu3DjZu3evQX3y96DiYRkSEiIDBgxQ+/6fPHlSHB0dlVFG09LSJCAgQH7//XeDetxK8eNITk6Wq1eviojIrVu3JC8vT1555RWZMWOGUvOgQYPE2dlZJk6cqPV/cEvaX9GAKDt37hRXV1e5cOGCiBSOhOvp6SmBgYHy999/a7UO0g7m5+Nhfhp2fhpSdoowP6sSY8lOEeanPjA/q2Z+smGvoN9//11efvllefXVV5VPrzIzM2XKlCnSpUsXmTNnjtr6+rr369y5c6JSqaRx48Zq9wddunRJpk+fLnXr1lWbrw+5ubni5uYmpqamMmnSJLVlJ0+eFJVKJQsWLJBDhw5J3759xcfHR/nlMeTQFCkcuKRJkyayZs0aOX36tDL/4sWLYmlpKe+8847s2bNHnn/+eXn22WcN6riKB9T06dPlmWeekW+//Va5f+v+/fvi5uYmU6dOFZHC8Bo6dKh8/fXXJT7rUxu17N69W+bPny9z5syR7OxsZfn27dvlySeflNjYWKXesWPHyr///quV9yftYn5qD/PT8PLTkLKz+L6Yn8bPWLJThPmpb8xP7daj7/xkw14Bp06dknnz5kmrVq2kdevWasuuXbumPDbj/fff11OF/5ObmysfffSR1KlTR9577z21ZZcvX5YPPvhAVCqVbNiwoVLrKvpHJC8vT44dOyaOjo7i5+cnLi4uEhISorZuWFiYmJqaSps2baRz586Sm5srIoY/Wm18fLzY29trPP+x6BPBL7/8UmrVqiWOjo7SrVs3gz2uokE+duzYIZmZmSJSWGN2dra88cYb0qtXL5k8ebL07t1bXFxclO+ttv9Q2LFjh9SsWVM8PT3lySeflJYtWyoD6Pz555/Su3dvcXR0FHd3d7GystLrSLhUOubn42N+Gkd+Gkp2ijA/qwJjyk4R5qc+MT+1yxDykw17OW3ZskV69eolcXFx8umnn0r9+vVl7NixautkZGTIW2+9Jc8995zeBvlITk6W+Ph4SU1NFRGRxYsXi4mJiSxdulRtvYsXL8q8efM0ntWpS8V/mc6dOyc3btyQf/75RwoKCiQoKEieeuop5d6a4uv98ccfyrb6/gSwLL766itxdHSUW7duKfMeDMN//vlHUlJSDPK4CgoK5Ny5c9KxY0eNx1QU1ZuYmCgjR46Unj17yiuvvKKEvi4Cc9q0aRIeHi75+fmSnp4uffr0kSeffFKOHDkiIiIHDx6UpUuXyowZMyr155nKjvn5+Jif/2Oo+Wlo2SnC/DR2xpKdIsxPQ8D81C5DyE827OVw9epVefbZZ5V7cW7cuCGffPKJODs7a1xKk5mZKenp6XqoUmTbtm1Su3ZtadmypVhYWMiaNWvkypUrsnjxYlGpVBqhWZn3rBQPjPfff19atWoljRo1Ek9PT/n8888lLy9P3n777RJDs4ixPFpm27ZtYmdnJydOnFDm5efnS35+vkRERGiMGmmIx3X69Glp3LixHDx4UETUv393796Ve/fuiUjhz5C2L6cq2t/58+fl5MmTMn78eNm1a5ey/Pbt2/L888+Lra2tJCQkaOU9SXeYn4+P+Wk8+anP7Cz+fsxP42cs2SnC/DQUzM/HY4j5yYa9jHbu3ClvvPGGDBw4UG0QgczMTPn444+lQ4cOEhQUpMcKC3/Arl+/rjx/88yZMzJv3jxRqVTy0UcfKSMsWlhYlBpGulQ8ECIjI8XW1la+++47iYiIkHfffVdMTU1lxYoVSmi6urrKjBkzKr1ObTl69KjY2trKe++9pzaQSm5urjzzzDPywQcf6LG6sjl//rzUqlVLIiIiRKTwe1gUZPv27ZO1a9cqz+4U0f7lVN9++600atRI2rdvLyqVSpYsWaJ8kipSGJovvviiWFpa8hJOA8b8fHzMz0LGkp/6zk4R5mdVYAzZKcL8NDTMz8dnaPnJhr2MfvjhB1GpVGJiYiIHDhxQW5aZmSmffvqpNG3aVBkEQR/u3r0rd+7ckWnTpsn169eV+aGhoWqhOX/+fKlfv77aOpXpl19+kVGjRsnixYuVeVlZWbJs2TKpWbOmxMTEKKObjhw50qDuqSmLB/9hqFWrlgQEBMgXX3whO3fulN69e0unTp0M5vKjkhQUFCjHMXnyZGnWrJns2LFDWZ6bmyve3t7y1ltv6eS9RQrv13NxcZFPPvlEYmNjpX///tKgQQP56aef1EIzOztbBg8erDaoChkW5qf2MD8NOz/1mZ1F7y/C/KwqjCE7RZifhoL5+fjvL2KY+cmG/REyMjKUT3F+++03MTU1laFDh8qlS5c01lu2bJn89ddf+ihTvvvuO+nTp4+0a9dOnJyclMEQioSGhoq5ubl8+OGHkp6ergzgUNnS0tKkVatWUrduXZk3b57asuvXr8uAAQNk/PjxIlI4KIkuRnzUlgdrKrrcSKTw+1EUKF988YU899xzYmVlJa6urtK3b1/lF94QHqFR0nEUzbtx44YkJyfLyJEjxcrKSt5++21599135dlnnxVnZ2e14NKmQ4cOSUhIiIwZM0Ztfv/+/ZVBSHT13qQ9zE/tYn4aVn4aYnaKMD+rAmPJThHmpz4wP6tffrJhf4ht27aJh4eHtG7dWmbMmCHXrl2TQ4cOiampqYwePVrjeZH6ugfk8OHDYmVlJWPHjpWRI0dKjRo1ZNKkScozAYuEhITIE088IRkZGXqps8ixY8ekVatW4urqKkePHlVb5u/vL3369FGbZ2j31oio13T+/Hm1Rzx8++23UqtWLVm7dq0yLysrS/755x+5dOmSwTw640FF970V1RcZGSkODg5y/fp1SU1Nlc8++0w6d+4sL7zwggQEBCj1P85xFA/s4gE4YsQIUalU0qlTJ+XRNUX69+8vTZs2le+++87gvob0P8xP3WB+Gl5+6iM7i7+fCPOzKjGW7BRhfuoD87N65icb9lIkJCSItbW1zJkzRyZNmiSdOnWSAQMGyN9//y0HDx4UU1NTGTt2rMannZXt7Nmz8sEHH6g9iiIsLEyaNWsmU6dO1QhNfV2G9KBjx47J008/LSNGjJDExEQRKQwVDw8PGTVqlH6Le4TiYfnBBx/IwIED5YcffpC7d+/K2bNnRaVSSVhYmIiU/smsof0jsG7dOhk3bpwyvXXrVqlVq5aEhoaqrZeTk6M2rY3AunjxovL/MTExyuVP48aNk8aNG0tYWJjavUoiIl5eXtKmTRu1f6jIcDA/dYv5aTj5qc/sFGF+VjXGkp0izE99YH4Wqo75yYa9BGfPnpW5c+eqXTLzww8/yDPPPCP9+/eXv//+Ww4dOiQqlUomT56st8tKbt68Ke7u7tKwYUOZNm2a2rLPPvtMnnzySZk+fbqcO3dOmW9Il/YcPXpU2rdvLzY2NvLiiy/Kyy+/LC4uLsovpiHVWpLp06dLw4YN5bvvvlN7hMqff/6px6oqZtGiRVK7dm25fPmy5ObmyquvviqrVq3SWK940D/u92fbtm1y8+ZNad++vYwePVq2b98uKpVK7TEew4cPFycnJ1m/fr1GOBY9MoYMC/OzcjA/DYM+slOE+VkVGUt2ijA/9Y35+XiMMT/ZsD+gKIQaN26sMYjH9u3bxcvLSwYOHCjnz5+Xw4cPS3Jysp4qLXT06FFp06aNeHh4yPHjx9WWhYeHi6WlpcyePdugLn8p7vjx4+Lg4CCenp4SHh6uzDf0++v++OMPcXR0lNjYWGWeIX1q+TDFw67oH/yigTymT58uIqLzT+/ff/99sbW1lRMnTsg333wjDRo0kBo1asg333wjIiJ37txR1n399dfFyclJIiIi1J4pSoaH+Vm5mJ+VyxCyU4T5WRUZW3aKMD/1hfn5eIw1P9mwl+Do0aPStm1b8fDw0Pi06scff5Snn35aXn31VYMJoWPHjkmnTp1k9OjRGvWuXbvW4Ed/TUxMlK5du8pbb70lZ86c0Xc5GgIDA2X//v1q8w4fPqz8wj8oJydH4xIaQ5efny/vvvuudO7cWZmnq0+Yjx8/Lk2aNFH+sdm2bZuoVCqpW7eu2qVRd+/eVf5/xIgR0rBhQ/niiy8M/pPv6o75WbmYn/pVmdkpwvysyowtO0WYn7rG/NQuY85PNuyleFgIxcTEaNybo29Hjx4VV1dXGTVqVIm/xIbu6NGj0qVLF3n11VclJSVF3+UoMjMz5bXXXtP4xDU+Pl7MzMzk4MGDIqJ+P82vv/4q3377rcF9Slv88rlNmzaJu7u77N+/X/lE88aNG2JraysLFizQaR1nz54VV1dXWb9+vWzcuFGeeuop+fbbbyUqKkpsbGzUHtdRPDQnTpxokP+gkibmZ+VifuqWoWSnCPOzqjO27BRhfuoK81P7jDk/2bA/hLGFkKGGTln9/vvv4uXlJZcvX9Z3KSKieYnRxo0bJTo6WvmEbeDAgdK+fXu1r/W9e/fE29tb3n333Uqt9VGKB/ru3btl1apV8vLLL0urVq2kV69esmrVKrl+/brMmjVLRowYIdevX9fZJ4n37t2TwMBAad++vahUKlm5cqWIiPz777+yYcMGsbGxUXucxqpVq+Snn37SSS2kO8zPysX81A1Dyk4R5md1YGzZKcL81Dbmp24Yc36yYX8EYwshQwud8ir+iZahKCgokOzsbOVerZiYGBER2bdvnzz//PNia2srK1askI8//li8vb2lY8eOBnXJ2k8//SRdu3YVEZHJkyeLh4eHMlprbGyszJ49W6ytrWXw4MHi5uYm9erVkz179uiklqIgjoiIEJVKJa1bt5Yvv/xSuWfoxo0bSmj26dNHJk2aJCqVyih+90gT87NyMT+1y5CyU4T5WZ0YW3aKMD91gfmpPcaen2zYy8DYQsgQQ8fYlPQJ3+XLl6V79+7i6ekpu3fvFhGR06dPy8SJE6VVq1byn//8R15//XXlUiRDCM379+/Lzp07xcnJSVq2bCn16tWTv/76S2O9s2fPytKlS6Vfv36iUqmkX79+8u+//+qsrs2bN0t4eLgMGzZM3N3dZe3atcrPbVZWluzYsUN69+4tzz//vCQlJemsDtI95mf1UxXy01CzU4T5WV0YW3aKMD+1gfn5r05rM9b8ZMNeRgyh6qP4pUiXL1+W27dvy82bN0WkcATLzp07i4eHh8TFxSnrZWRkqG2n77D8z3/+o4S6SOFIlyqVStzd3ZV5RcH+4OMyPvnkE2nXrp1W75Ur+geooKBA7f1u374tr7zyinTu3FktNIvwOcFVA/Oz+jD2/DS07Czad9F/mZ/VC7OzemF+Mj9LYwIqE0tLS32XQJVARGBiUvhrMXPmTPTr1w9PP/003njjDcTFxaFp06b47rvvkJubi7lz52Lnzp0QETRo0EDZTkRgZmamt2O4c+cOXnrpJXh4eCjzXnjhBYSHh+P+/fvo2bMnCgoKUKNGDeTm5ip1A4BKpcI777wDEcGqVau0Uo+IQKVSYdeuXXjnnXcwYMAAbNy4EQkJCahVqxY+//xzNG/eHKtWrUJkZCTu3bunbFu7dm2t1ED6xfysHow9Pw0tOwHmZ3XH7Kw+mJ/Mz4fSw4cERAap+Cdva9eulQYNGsjGjRtl3rx5MnToUDE3N5dt27aJyP8uT2rfvr0cOnRITxVrun37ttr0vHnzlGdL5ufny44dO6RDhw7Ss2dPtfWio6MlOztbGc3Tx8dHPvzwQ60N/rF161axtLQUPz8/8fb2lqeeekp69uypPFrjzp078uqrr0rr1q3l888/18p7ElHlMfb8NNTsFGF+ElV1zE/m56OwYSd6wP79+8Xf31/Wr1+vzEtPT5dJkyaJlZWVEpCXLl2St956S+2RFfr0xhtvSI8ePZRBPXJycsTf319UKpVs3bpVmffTTz+Js7OzdO3aVY4dOybe3t7i7e2tBGR8fLyoVCr5448/tFJXWlqauLi4yNKlS5V5u3btkmHDhsmzzz4rx44dE5HCS/9Gjhwp586d08r7ElHlM8b8NNTsFGF+ElUnzE/mZ2nYsBMV88svv0irVq2UTzeLu3DhgvTs2VNCQkI0HrlhCKH5+++/S5MmTWTgwIHKoB03b96UoKAgMTU1lS1btohIYXD+8ssv4ubmJs2bNxdPT0+NZ3YWPR9TG/7++29p2rSpfPvtt2rzY2NjpV27dkpdRGTcjDU/DTU7RZifRNUF85P5+TC8h52omGeeeQYjRowAAERGRuLSpUvKMnt7e1haWuLkyZNq994AgKmpaaXWWZLOnTvjp59+woEDBzB8+HDcuHEDVlZWmDVrFiZMmIAhQ4Zg69atMDc3h5eXFw4cOIDvvvsOe/bsQY0aNZCXl4f8/HwAgK2tbYXrEBEAQFJSEi5evIg6derAxsYG6enpAICCggIAgLe3N6ysrPDDDz885pETkSEw1vw0lOwEmJ9E1RXzk/n5MGzYqdoq+sV90MyZMzFp0iRcvHgRS5YsQUZGBgDg3r17uHHjBho1alSZZZZLp06dEBMTg99//x1+fn64ceMG6tati9mzZ2PChAnw9fXFtm3boFKpYG5uDhcXF5iYmKCgoABmZmZK8KtUqgq9v/z/AB/fffcdXnjhBaxevRr169dH165dMXv2bBw6dEhtcJSGDRuiVatWWjt+IqocVS0/9Z2dAPOTqLpgfjI/y0slRR9HEFUjBQUFyi/u+vXrcfjwYVhYWKBDhw546623AAAffvghvvjiC1haWqJbt264ceMGTp48iaSkJNSoUUOf5SuKH0dxSUlJ6NOnD7p27YpNmzahXr16uHXrFmbNmoUlS5Zgz5496Nmzp05q+vHHH/Hf//4Xy5Ytw/PPP49mzZoBAIYMGYJff/0VQUFBaNSoEU6cOIG1a9fit99+g5OTk05qISLtqwr5aYjZCTA/iao65ifzs0L0dCk+kUF49913pVGjRjJ06FDp16+f1KhRQ/z8/JTl8+bNk/r160uvXr0kLCxMma/v56yLqI8qev78eTl79qxaXUePHpVGjRpJ//79lfuKbty4IUuXLtVZ/Xfv3pX//ve/Mm3aNBEpHDn09OnTsmjRItm5c6cMGDBAnn32WWndurV4eXlJYmKiTuogIt0z1vw0xOwUYX4SVSfMT+2q6vnJhp2qleJBs2/fPmnSpIn8+uuvIlIYgrGxsVKvXj0ZM2aMst6sWbPEw8NDpk2bJjdu3BAR0eojJyqi+HHMmjVL2rVrJy1atJBWrVrJnj17lEdsHD16VGxsbGTAgAGSmZmptg9dBOedO3fE3d1dJkyYIJmZmTJ+/Hjp2bOn2Nrair29vXz66ady/fp1uXbtmty8eVPr709EulMV8tNQs1OE+UlUlTE/CzE/K4YNO1UbxUPu/v37sn37dnFwcJDs7Gy19TZv3ixPPPGEEqQiIh988IG4u7vLxIkT5erVq5VW86N88MEH0qRJE/n2228lIyNDPDw8pHXr1hIVFSV3794VEZHExERRqVTy3nvvVUpNGzdulJo1a4qVlZUMGjRIGe10woQJ0qtXL71/OkxE5VfV8tMQs1OE+UlUFTE/K0dVzk8zfV+ST1QZfvnlF1y+fBmvvfYaAgICUKtWLfj5+eHq1avYv38/fHx8lHWffvppWFhYIDs7W5k3e/Zs3LlzB4cPH9ZH+SVKSEhAXFwcIiIi0KdPH+zYsQN//vkn2rRpA39/f6xbtw4vvPACOnXqhFOnTqFly5aVUpefnx/c3d1x6dIleHt7K4OrFBQUoFmzZsjPz4eZGaOHyFhUtfw01OwEmJ9EVQ3zk/mpFfr+xIBIlwoKCiQrK0u8vb3Fy8tL+vfvL1ZWVpKUlCQ3b96Ul156SV5++WXZv3+/sk1GRoY4OztLdHS0iKhfvnPt2rVKP4YiDz578+TJk7Jq1SoREfn555/FxsZGVq5cKSIi3bp1k1atWsmGDRvk3r17yjb6eF5nSkqKTJs2TaytreX48eOV/v5EVDFVJT+NNTtFmJ9Exor5yfzUJjbsVC1kZmaKo6OjqFQq+eijj5T50dHR8swzz4iXl5csXbpUoqOjxdvbW1xdXdUC5sHAqmzF3z8hIUH5/6IA9/X1lYkTJ0p+fr7k5ubKf//7X2ncuLH07t270mst7siRIzJ06FBp166dJCUl6bUWIqoYY85PY81OEeYnUVXA/NSPqpafRnpdAFH5mJiYoFWrVrCxscHu3bvRtGlTDB8+HC+99BLMzc3x448/4oMPPkDbtm3RoEEDHDp0CKampsjPz4epqWmJj6+oLCKivP/MmTOxdetWzJ49G6+88goaNmyIu3fv4sKFC+jUqRNMTExgYmICMzMzHDp0CPb29nqrGwDat2+PsWPHokWLFrCzs9NrLURUMcaan8acnQDzk6gqYH7qR1XLTz6HnaqV9PR0+Pv74+7du3jjjTcwfPhwZVlaWhpq1qwJa2trqFQq5OXlGdS9LrNnz8aKFSsQGRmJ9u3bw9bWVln22muv4eeff4afnx/i4+ORlZWFY8eOwdTUtNTnZRIRlYex5iezk4j0jflJj4MNO1U758+fx4QJE5Cbm4tXX30VI0aMQK9eveDh4YEFCxYAgMEFzZUrV9C/f39MmDBBLeSLh/qIESNw5coVPPHEE9i0aRNq1KhhcMdBRMbN2PKT2UlEhoL5SRXFhp2qpfPnz+Odd95BSkoKcnJyUKtWLSQkJMDc3FzfpZXo5MmT6Ny5M3bu3AkPDw+ICFQqFQDg3r17sLS0BADcvXsXNWvWBACD+oSWiKoOY8pPZicRGRLmJ1UEG3aqttLS0pCQkIArV65gxIgRMDMzM4igKR6IRf9/48YNeHp6YsiQIZg2bRpMTU2VWn/44QdcuHAB48ePL3EfRETaZoj5yewkImPA/KTyYsNO9P+KBvjQpwcvI8rJyYGFhQXu37+PgIAA/PHHH3j//fcxePBgAMD9+/cxcOBA1KlTB19//TWDkoj0Qt/5yewkImPF/KRHYcNOZCCKB+aSJUtw8OBBnDt3DoMGDcLIkSNRr149vPrqq/jnn3/QokULODo6Yu/evcjKykJSUhLMzMz46SYRVTvMTiKiimF+GgeOCEBkIIoCMzg4GPPnz0eLFi3Qs2dPLF++HGPHjsXZs2fxzTffYOTIkRARJCcno3Pnzkpg5uXlMTCJqNphdhIRVQzz0zjwDDuRHoWHh6NHjx54+umnAQDHjh3Dyy+/jHXr1uGZZ54BABw+fBiTJk2Cra0tvvjiC2Vgj+Kfiur73iciosrE7CQiqhjmp/HhGXYiPTl//jwWLFiAsLAwJCcnAwBMTU3VRtvMz89H586dERoaih9++AGxsbHK9sXvN2JgElF1wewkIqoY5qdxYsNOpCcODg74/vvvcfToUSxZsgQpKSmoX78+bt++jbNnzwIo/CSzoKAAXbp0gbOzM06fPq3nqomI9IvZSURUMcxP48SGnUiPXFxcsHr1aiQkJODTTz9Ffn4+pk6dilGjRmHv3r2oUaMGTExMcPv2beTk5KB+/fr6LpmISO+YnUREFcP8ND68h53IACQmJsLf3x/u7u4YPHgwfvzxRyxfvhzvvfce6tSpg/j4eFy+fBmJiYm8BImI6P8xO4mIKob5aTzYsBMZiMTERIwePRpubm7w8/PD6dOnER4ejpo1a8LOzg7r169HjRo19P68TiIiQ8LsJCKqGOancWDDTmRAjh49itGjR8PV1RVz586FjY2N2vMtOSInEZEmZicRUcUwPw0fG3YiA5OYmIi33noLLVq0wEcffYTWrVsDgFp4EhGROmYnEVHFMD8NGwedIzIwLi4uCAsLg5WVFVq2bKnMZ2ASEZWO2UlEVDHMT8PGM+xEBqroU82CggK1514SEVHpmJ1ERBXD/DRMbNiJDBgvRSIiKj9mJxFRxTA/DQ8bdiIiIiIiIiIDxGsdiIiIiIiIiAwQG3YiIiIiIiIiA8SGnYiIiIiIiMgAsWEnIiIiIiIiMkBs2ImIiIiIiIgMEBt2okoWERGBevXq6bsMIiKjw/wkIqoY5qfxYsNOREREREREZIDYsJPW5Obm6ruEauP+/fv6LoGItIj5WXmYn0RVC/Oz8jA/9YMNO1XYM888g/HjxyMoKAgNGzaEt7c3kpOT0a9fP9SpUwc2NjYYPnw4MjIylG0KCgqwcOFCtG7dGhYWFmjevDnmz5+vLD9+/Dh69eqFmjVrokGDBhg9ejSys7OV5SNHjsTAgQOxYMEC2NjYoF69epg9ezby8vLw7rvvon79+mjWrBnWr1+vbHPhwgWoVCp888038PT0RM2aNdG5c2ecPn0ahw8fhru7O+rUqYPnn38e165dUzvGDRs2oF27drC0tISTkxPCwsI09rt161Y8++yzqFWrFp5++mkcPHhQbR8RERFo3rw5atWqhUGDBiEzM1Pja7l9+3a4ubnB0tISLVu2VI6piEqlwsqVKzFgwADUrl0b8+bNq8B3jIgMBfOT+UlEFcP8ZH5WO0JUQV5eXlKnTh1599135eTJk3LgwAFp2LChBAcHS0pKihw9elS8vb3l2WefVbZ577335IknnpCIiAg5e/asxMfHy5o1a0RE5Pbt29K0aVN5+eWX5fjx47J7925xcHCQESNGKNuPGDFC6tatK+PGjZOTJ0/KunXrBID06dNH5s+fL6dPn5a5c+dKjRo1JDU1VUREzp8/LwDEyclJdu7cKcnJydKtWzdxdXWVZ555Rvbt2ydHjx6V1q1bS0BAgPJeq1evFltbW9myZYucO3dOtmzZIvXr15eIiAiN/f7www9y6tQpGTx4sNjb28v9+/dFROTQoUOiUqkkJCRETp06JUuXLpV69eqJtbW18j47d+4UKysriYiIkL/++ktiY2OlRYsWMmvWLGUdANK4cWNZt26d/PXXX3LhwgWtfz+JqPIwP5mfRFQxzE/mZ3XDhp0qzMvLSzp16qRMz5w5U3x8fNTWuXjxogCQU6dOSVZWllhYWCgB+aDVq1fLE088IdnZ2cq8H3/8UUxMTCQ9PV1ECgPT3t5e8vPzlXUcHR3F09NTmc7Ly5PatWtLZGSkiPwv2NauXausExkZKQBk9+7dyryQkBBxdHRUpu3s7OSrr75Sq3Hu3LnSvXv3Uvd74sQJASApKSkiIjJ06FB5/vnn1fbh6+urFpienp6yYMECtXU+//xzsbW1VaYByOTJk0v8uhGR8WF+Mj+JqGKYn8zP6sasMs7iU9Xl7u6u/H9CQgJ++eUX1KlTR2O9v/76Czdu3EBOTg569+5d4r5SUlLw9NNPo3bt2so8Dw8PFBQU4NSpU7CxsQEAdOjQASYm/7ubw8bGBs7Ozsq0qakpGjRogKtXr6rt/6mnnlLbBgA6duyoNq9om2vXruHixYvw9/fHW2+9payTl5cHa2vrUvdra2sLALh69SqcnJyQkpKCQYMGqa3fvXt37Ny5U5lOSEjA4cOH1S7Nys/Px71793Dnzh3UqlULgPrXmoiMH/OT+UlEFcP8ZH5WJ2zY6bEUD7eCggL0798fCxcu1FjP1tYW586de+i+RAQqlarEZcXn16hRQ2NZSfMKCgrU5hVfp2h/D84r2qbov2vWrEHXrl3V9mNqavrI/RZtLyIlHk9xBQUFmD17Nl5++WWNZZaWlsr/F/9aE5HxY34yP4moYpifzM/qhA07aY2rqyu2bNmCFi1awMxM80erTZs2qFmzJnbv3o1Ro0ZpLG/fvj02btyI27dvK+Gwf/9+mJiYoG3btjqvvzgbGxs8+eSTOHfuHF577bUK76d9+/Y4dOiQ2rwHp11dXXHq1Cm0bt26wu9DRMaN+amJ+UlEZcH81MT8rFo4Sjxpzbhx43D9+nUMHToUv//+O86dO4fY2Fi8+eabyM/Ph6WlJd5//32899572LRpE/766y8cOnQI69atAwC89tprsLS0xIgRI/Dnn3/il19+wYQJEzB8+HDlEqLKNGvWLISEhGDp0qU4ffo0jh8/jg0bNmDx4sVl3sfEiROxc+dOfPzxxzh9+jQ+++wztcuRAOCDDz7Apk2bMGvWLJw4cQIpKSmIiorCjBkztH1IRGSgmJ+amJ9EVBbMT03Mz6qFDTtpTdOmTbF//37k5+ejT58+cHZ2xqRJk2Btba3c8zNz5ky8/fbb+OCDD9CuXTv4+voq9+3UqlULMTExuH79Ojp37ozBgwejd+/e+Oyzz/RyPKNGjcLatWsRERGBjh07wsvLCxEREXBwcCjzPrp164a1a9di+fLl6NSpE2JjYzWCsE+fPvjhhx8QFxeHzp07o1u3bli8eDHs7e21fUhEZKCYn5qYn0RUFsxPTczPqkUlZbnJgYiIiIiIiIgqFc+wExERERERERkgNuxEREREREREBogNOxEREREREZEBYsNOREREREREZIDYsBMREREREREZIDbsRERERERERAaIDTsRERERERGRAWLDTkRERERERGSA2LATERERERERGSA27EREREREREQGiA07ERERERERkQH6P1TgKar6elNqAAAAAElFTkSuQmCC", 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", "text/plain": [ "
" ] @@ -333,7 +299,7 @@ }, { "cell_type": "markdown", - "id": "d20bf98b", + "id": "463cfdd5", "metadata": {}, "source": [ "The summary tables show the mean values, standard deviation, and quantiles (10%ile, Median, 90%ile), each accompanied by their respective 95% confidence intervals for effectiveness metrics across recommenders." @@ -341,230 +307,17 @@ }, { "cell_type": "code", - "execution_count": 7, - "id": "81034f7f", + "execution_count": 6, + "id": "b9be4396", "metadata": { "execution": { - "iopub.execute_input": "2024-11-26T19:27:23.167356Z", - "iopub.status.busy": "2024-11-26T19:27:23.167152Z", - "iopub.status.idle": "2024-11-26T20:39:24.738194Z", - "shell.execute_reply": "2024-11-26T20:39:24.737480Z" + "iopub.execute_input": "2024-11-27T00:16:00.485153Z", + "iopub.status.busy": "2024-11-27T00:16:00.484964Z", + "iopub.status.idle": "2024-11-27T01:28:08.858412Z", + "shell.execute_reply": "2024-11-27T01:28:08.857745Z" } }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r\n", - "Mean: 0%| | 0/6 [00:00\n", "\n", "nrms\n", - "0.391
(0.391,0.391)\n", + "0.391
(0.391,0.392)\n", "0.072
(0.072,0.073)\n", "0.396
(0.396,0.396)\n", "0.410
(0.410,0.410)\n", @@ -1600,7 +714,7 @@ "\n", "\n", "topic-cali\n", - "0.391
(0.391,0.391)\n", + "0.391
(0.391,0.392)\n", "0.072
(0.072,0.073)\n", "0.396
(0.396,0.396)\n", "0.410
(0.410,0.410)\n", @@ -1617,219 +731,6 @@ "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\r\n", - "Mean: 0%| | 0/6 [00:00