From 8541b25f102800579f987b9cc897c3bd65adea0e Mon Sep 17 00:00:00 2001 From: Snyder Date: Thu, 8 Mar 2018 14:32:11 -0500 Subject: [PATCH 1/6] Added file to document general figure formatting --- notebooks/Figures.ipynb | 34 ++++++++++++++++++++++++++++++++++ 1 file changed, 34 insertions(+) create mode 100644 notebooks/Figures.ipynb diff --git a/notebooks/Figures.ipynb b/notebooks/Figures.ipynb new file mode 100644 index 0000000..13fcb96 --- /dev/null +++ b/notebooks/Figures.ipynb @@ -0,0 +1,34 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} From b7353e30497e2e4f4c188bc2864ac9d6815386a0 Mon Sep 17 00:00:00 2001 From: Snyder Date: Thu, 8 Mar 2018 14:41:32 -0500 Subject: [PATCH 2/6] Added module imports and versions function to Figures.ipynb --- notebooks/Figures.ipynb | 43 ++++++++++++++++++++++++++++++++++++++--- 1 file changed, 40 insertions(+), 3 deletions(-) diff --git a/notebooks/Figures.ipynb b/notebooks/Figures.ipynb index 13fcb96..c6385c2 100644 --- a/notebooks/Figures.ipynb +++ b/notebooks/Figures.ipynb @@ -1,11 +1,48 @@ { "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Python version:\n", + "3.6.1 |Anaconda custom (x86_64)| (default, May 11 2017, 13:04:09) \n", + "[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)]\n", + "\n", + "matplotlib version: 2.1.1\n", + "pandas version: 0.22.0\n", + "numpy version: 1.14.0\n", + "seaborn version: 0.8.1\n" + ] + } + ], + "source": [ + "import sys\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "\n", + "def versions():\n", + " print(\"Python version:\\n{}\\n\".format(sys.version))\n", + " print(\"matplotlib version: {}\".format(matplotlib.__version__))\n", + " print(\"pandas version: {}\".format(pd.__version__))\n", + " print(\"numpy version: {}\".format(np.__version__))\n", + " print(\"seaborn version: {}\".format(sns.__version__))\n", + "\n", + "versions()" + ] + }, { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } From 31fd5a76c9fe40fc78a3259bf6dc0ab544022dd0 Mon Sep 17 00:00:00 2001 From: Katie Snyder Date: Fri, 9 Mar 2018 09:36:44 -0500 Subject: [PATCH 3/6] Started adding boxplot guide to Figures.ipynb --- notebooks/Figures.ipynb | 94 ++++++++++++++++++++++++++++++++++++++--- 1 file changed, 88 insertions(+), 6 deletions(-) diff --git a/notebooks/Figures.ipynb b/notebooks/Figures.ipynb index c6385c2..503edd7 100644 --- a/notebooks/Figures.ipynb +++ b/notebooks/Figures.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -13,10 +13,11 @@ "3.6.1 |Anaconda custom (x86_64)| (default, May 11 2017, 13:04:09) \n", "[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)]\n", "\n", - "matplotlib version: 2.1.1\n", - "pandas version: 0.22.0\n", - "numpy version: 1.14.0\n", - "seaborn version: 0.8.1\n" + "matplotlib version: 2.2.0\n", + "pandas version: 0.20.3\n", + "numpy version: 1.14.1\n", + "seaborn version: 0.8.1\n", + "scikit-learn version: 0.19.1\n" ] } ], @@ -25,6 +26,8 @@ "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", + "import sklearn\n", + "from sklearn import datasets\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", @@ -35,16 +38,95 @@ " print(\"pandas version: {}\".format(pd.__version__))\n", " print(\"numpy version: {}\".format(np.__version__))\n", " print(\"seaborn version: {}\".format(sns.__version__))\n", + " print(\"scikit-learn version: {}\".format(sklearn.__version__))\n", "\n", "versions()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "# make up data\n", + "data = np.random.uniform(0, 10, [100, 5])" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "cannot convert dictionary update sequence element #0 to a sequence", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 21\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_xticklabels\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'A'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'B'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'C'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'D'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'E'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0;31m# set y tick labels\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_yticklabels\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m8\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 24\u001b[0m \u001b[0;31m#set color or boxes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 25\u001b[0m \u001b[0mbox_colors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'salmon'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'cornflowerblue'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'lightgreen'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'mediumpurple'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'lightpink'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/Users/snyderkm/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36mset_yticklabels\u001b[0;34m(self, labels, fontdict, minor, **kwargs)\u001b[0m\n\u001b[1;32m 3609\u001b[0m \"\"\"\n\u001b[1;32m 3610\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mfontdict\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3611\u001b[0;31m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfontdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3612\u001b[0m return self.yaxis.set_ticklabels(labels,\n\u001b[1;32m 3613\u001b[0m minor=minor, **kwargs)\n", + "\u001b[0;31mTypeError\u001b[0m: cannot convert dictionary update sequence element #0 to a sequence" + ] + }, + { + "data": { + "image/png": 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S5qcnh9Ej4n7AL4G3A6spwmWrvg4MA7sBBwB/1en6JEmSVOi5sBkRa4D/Bu7F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\n/ieMHHZsx7ksO1N9K4o7R54/Xa/qZuWuzm3ta8D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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# make a figure\n", + "nrows=1\n", + "ncols=1\n", + "width=2\n", + "height=2\n", + "dpi=300\n", + "fig, ax = plt.subplots(nrows=nrows, ncols=ncols, figsize=(width, height), dpi=dpi, \n", + " sharex=False, sharey=False, facecolor='w', frameon=False)\n", + "\n", + "# boxplot\n", + "bp = ax.boxplot(data, patch_artist=True)\n", + "# set title\n", + "ax.set_title('Boxplot')\n", + "# set x axis label\n", + "ax.set_xlabel('Groups')\n", + "#set y axis label\n", + "ax.set_ylabel('Measure')\n", + "#set y axis limits\n", + "ax.set_ylim(0, 10)\n", + "# set x tick labels\n", + "ax.set_xticklabels(['A', 'B', 'C', 'D', 'E'])\n", + "# set y tick labels\n", + "ax.set_yticklabels([2, 4, 6, 8])\n", + "#set color or boxes\n", + "box_colors=['salmon', 'cornflowerblue', 'lightgreen', 'mediumpurple', 'lightpink']\n", + "for patch, color in zip(bp['boxes'], box_colors):\n", + " patch.set_facecolor(color)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 53, "metadata": {}, "outputs": [], "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] } ], "metadata": { From 132224c0a8f4c3843d71f23d7ba1abb12071d7ae Mon Sep 17 00:00:00 2001 From: Snyder Date: Fri, 9 Mar 2018 13:37:02 -0500 Subject: [PATCH 4/6] Edited boxplot example in Figures.ipynb --- notebooks/Figures.ipynb | 71 ++++++++++++++++++++++------------------- 1 file changed, 39 insertions(+), 32 deletions(-) diff --git a/notebooks/Figures.ipynb b/notebooks/Figures.ipynb index 503edd7..be8b6f9 100644 --- a/notebooks/Figures.ipynb +++ b/notebooks/Figures.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -10,14 +10,13 @@ "output_type": "stream", "text": [ "Python version:\n", - "3.6.1 |Anaconda custom (x86_64)| (default, May 11 2017, 13:04:09) \n", + "3.6.1 |Anaconda custom (64-bit)| (default, May 11 2017, 13:04:09) \n", "[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)]\n", "\n", "matplotlib version: 2.2.0\n", - "pandas version: 0.20.3\n", + "pandas version: 0.22.0\n", "numpy version: 1.14.1\n", - "seaborn version: 0.8.1\n", - "scikit-learn version: 0.19.1\n" + "seaborn version: 0.8.1\n" ] } ], @@ -26,8 +25,6 @@ "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", - "import sklearn\n", - "from sklearn import datasets\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", @@ -38,15 +35,16 @@ " print(\"pandas version: {}\".format(pd.__version__))\n", " print(\"numpy version: {}\".format(np.__version__))\n", " print(\"seaborn version: {}\".format(sns.__version__))\n", - " print(\"scikit-learn version: {}\".format(sklearn.__version__))\n", "\n", "versions()" ] }, { "cell_type": "code", - "execution_count": 42, - "metadata": {}, + "execution_count": 3, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [ "# make up data\n", @@ -55,26 +53,14 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 34, "metadata": {}, "outputs": [ - { - "ename": "TypeError", - "evalue": "cannot convert dictionary update sequence element #0 to a sequence", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 21\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_xticklabels\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'A'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'B'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'C'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'D'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'E'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0;31m# set y tick labels\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_yticklabels\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m6\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m8\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 24\u001b[0m \u001b[0;31m#set color or boxes\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 25\u001b[0m \u001b[0mbox_colors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'salmon'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'cornflowerblue'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'lightgreen'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'mediumpurple'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'lightpink'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/Users/snyderkm/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_base.py\u001b[0m in \u001b[0;36mset_yticklabels\u001b[0;34m(self, labels, fontdict, minor, **kwargs)\u001b[0m\n\u001b[1;32m 3609\u001b[0m \"\"\"\n\u001b[1;32m 3610\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mfontdict\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3611\u001b[0;31m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfontdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3612\u001b[0m return self.yaxis.set_ticklabels(labels,\n\u001b[1;32m 3613\u001b[0m minor=minor, **kwargs)\n", - "\u001b[0;31mTypeError\u001b[0m: cannot convert dictionary update sequence element #0 to a sequence" - ] - }, { "data": { - "image/png": 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5M1/XWCO9bZl5a2YeRzGcfjLTz8857nrg88ADM/N5rQzJNh5oeXml+Qrg+bPcpzmdjt2/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\nJNXGZFOSJEm1MdmUJElSbUw2JUmSVBuTTUmSJNXGZFOSJEm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"text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -82,17 +68,27 @@ } ], "source": [ + "# set style\n", + "plt.style.use(['seaborn-paper', 'seaborn-ticks'])\n", + "\n", "# make a figure\n", "nrows=1\n", "ncols=1\n", - "width=2\n", - "height=2\n", + "width=5\n", + "height=5\n", "dpi=300\n", "fig, ax = plt.subplots(nrows=nrows, ncols=ncols, figsize=(width, height), dpi=dpi, \n", " sharex=False, sharey=False, facecolor='w', frameon=False)\n", "\n", "# boxplot\n", - "bp = ax.boxplot(data, patch_artist=True)\n", + "boxprops = dict(linewidth=1, color='gray')\n", + "medianprops = dict(linewidth=1, color='gray')\n", + "capprops = dict(linewidth = 1, color='gray')\n", + "whiskerprops = dict(linewidth=1, color='gray')\n", + "flierprops = dict(marker='.', markerfacecolor='gray', markersize=2)\n", + "bp = ax.boxplot(data, patch_artist=True, \n", + " boxprops=boxprops, medianprops=medianprops, capprops=capprops, whiskerprops=whiskerprops, \n", + " flierprops=flierprops)\n", "# set title\n", "ax.set_title('Boxplot')\n", "# set x axis label\n", @@ -100,22 +96,33 @@ "#set y axis label\n", "ax.set_ylabel('Measure')\n", "#set y axis limits\n", - "ax.set_ylim(0, 10)\n", + "ax.set_ylim(-2, 12)\n", "# set x tick labels\n", "ax.set_xticklabels(['A', 'B', 'C', 'D', 'E'])\n", - "# set y tick labels\n", - "ax.set_yticklabels([2, 4, 6, 8])\n", + "# set y tick shown\n", + "ax.set_yticks([0, 2, 4, 6, 8, 10])\n", + "# set the bounds of the y axis\n", + "ax.spines['left'].set_bounds(0, 10)\n", + "ax.spines['bottom'].set_bounds(1,5)\n", + "# turn off spines\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['top'].set_visible(False)\n", "#set color or boxes\n", "box_colors=['salmon', 'cornflowerblue', 'lightgreen', 'mediumpurple', 'lightpink']\n", "for patch, color in zip(bp['boxes'], box_colors):\n", " patch.set_facecolor(color)\n", + "# add a legned\n", + "labels=['First', 'Second', 'Third', 'Fourth', 'Fifth']\n", + "plt.legend(bp['boxes'], labels, loc=\"lower left\", bbox_to_anchor=(1, 0))\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 53, - "metadata": {}, + "metadata": { + "collapsed": true + }, "outputs": [], "source": [] }, From dfe3c8555d7d5cf5711068ad60e8e969c28439ca Mon Sep 17 00:00:00 2001 From: Snyder Date: Thu, 15 Mar 2018 14:12:47 -0400 Subject: [PATCH 5/6] Started line plot guide in Figures.ipynb --- notebooks/Figures.ipynb | 56 +++++++++++++++++++++++++++++++++-------- 1 file changed, 45 insertions(+), 11 deletions(-) diff --git a/notebooks/Figures.ipynb b/notebooks/Figures.ipynb index be8b6f9..8488e9e 100644 --- a/notebooks/Figures.ipynb +++ b/notebooks/Figures.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -16,7 +16,8 @@ "matplotlib version: 2.2.0\n", "pandas version: 0.22.0\n", "numpy version: 1.14.1\n", - "seaborn version: 0.8.1\n" + "seaborn version: 0.8.1\n", + "sklearn version: 0.19.1\n" ] } ], @@ -24,6 +25,7 @@ "import sys\n", "import numpy as np\n", "import pandas as pd\n", + "import sklearn\n", "import seaborn as sns\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", @@ -35,30 +37,28 @@ " print(\"pandas version: {}\".format(pd.__version__))\n", " print(\"numpy version: {}\".format(np.__version__))\n", " print(\"seaborn version: {}\".format(sns.__version__))\n", + " print(\"sklearn version: {}\".format(sklearn.__version__))\n", "\n", "versions()" ] }, { - "cell_type": "code", - "execution_count": 3, + "cell_type": "markdown", "metadata": { "collapsed": true }, - "outputs": [], "source": [ - "# make up data\n", - "data = np.random.uniform(0, 10, [100, 5])" + "###### Boxplot" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -68,6 +68,9 @@ } ], "source": [ + "# make up data\n", + "data = np.random.uniform(0, 10, [100, 5])\n", + "\n", "# set style\n", "plt.style.use(['seaborn-paper', 'seaborn-ticks'])\n", "\n", @@ -114,16 +117,47 @@ "# add a legned\n", "labels=['First', 'Second', 'Third', 'Fourth', 'Fifth']\n", "plt.legend(bp['boxes'], labels, loc=\"lower left\", bbox_to_anchor=(1, 0))\n", - "plt.show()" + "\n", + "#save figure out\n", + "fname='/Users/snyderkm/Desktop/test.svg'\n", + "plt.savefig(fname, dpi=600, facecolor=None, edgecolor=None, transparent=True, \n", + " frameon=False, bbox_inches='tight')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "###### Line plot" ] }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 11, "metadata": { "collapsed": true }, "outputs": [], + "source": [ + "# make up data\n", + "x = np.arange(0.0, 1.0, 0.1)\n", + "y = np.exp(x)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [] }, { From 324b83169f8318b1c1cfb7790d627f5acd576b5b Mon Sep 17 00:00:00 2001 From: Snyder Date: Mon, 19 Mar 2018 16:58:02 -0400 Subject: [PATCH 6/6] started figure explanation for showing a brain slice image --- notebooks/Figures.ipynb | 58 ++++++++++++++++++++++++++++++++++++++--- 1 file changed, 54 insertions(+), 4 deletions(-) diff --git a/notebooks/Figures.ipynb b/notebooks/Figures.ipynb index 8488e9e..98ab683 100644 --- a/notebooks/Figures.ipynb +++ b/notebooks/Figures.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -17,7 +17,7 @@ "pandas version: 0.22.0\n", "numpy version: 1.14.1\n", "seaborn version: 0.8.1\n", - "sklearn version: 0.19.1\n" + "nibabel version: 2.1.0\n" ] } ], @@ -25,7 +25,7 @@ "import sys\n", "import numpy as np\n", "import pandas as pd\n", - "import sklearn\n", + "import nibabel\n", "import seaborn as sns\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", @@ -37,7 +37,7 @@ " print(\"pandas version: {}\".format(pd.__version__))\n", " print(\"numpy version: {}\".format(np.__version__))\n", " print(\"seaborn version: {}\".format(sns.__version__))\n", - " print(\"sklearn version: {}\".format(sklearn.__version__))\n", + " print(\"nibabel version: {}\".format(nibabel.__version__))\n", "\n", "versions()" ] @@ -146,6 +146,56 @@ "y = np.exp(x)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###### Image" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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KrvITATp9Eh6pLoSmdXO5XMhkMggGg2i32/jKV76CcDiMjY0NfPTRRwiHw9jZ\n2ZHCbbqnrF4JBALw+/2IRCIGt1L3PSLgwpiVgBSpiFxcXNwUQO06k8DAWI+gkOYD03IzLQRALGq7\n3TY0eGN6h4AR51DPo65k0iAYAMnpstMiXW1aU4/HA5/PJy1gmDrSG3r5fD4B0brdLjwej7SD5fsh\nVziXy+Hdd99FrVbDq6++ig8++ADZbBZf+9rX8MILL6BQKGB+fl5icTOoaKYwPsq84ydCYD9OS2oB\n1ZYKABKJBObn59FoNCT/2mg08Prrr8PpdArIxEXHzaCIdpI4D0yahunYlKARhdDr9YoFZVoEmNAT\nSarQpW6aM8vF5vV6EY1GEQ6HpTEaLRpRb1o1u90urjPng5RFWm89aFkpODpvzJhaA0y6gbkGtqjA\ntKvtcDgMhBU2giOSTCGnMuL7ajab2NnZETzhJz/5CQBgcXERzzzzDDweD86cOSOothZausNmN/9R\ntK7AEyKwHze0sPIHgGwG5XK50Gg0cO7cOUSjUVy5cgW7u7toNBqyDcZoNEIwGEQmk0EikRC6IHOa\nXNxcpDoVoy2nz+dDOByWeJS5UFpQurskNOgCeoI75BcHg0FEo1EEg0FxyUk51O4ekWC6yNrF1YJN\nwdIbcQEwzB2L4rvdrvCDWcRAC02BpUfClA/dbKaNaHFjsZikgFjqR4+GeIDdbke9Xsfdu3dhtVpx\n48YN7OzsSFhy4sQJ2VmB9093WLvF05T2ozaeyBiWL4guqGbicDuKS5cuIZFIoFKp4E//9E/x7LPP\nYjgc4o033kC1WsUHH3yAQqEg5yQ54tq1axgOh0in04jFYuI6snO+1WrF1taWuGdmzQ5ArB6pfdFo\n1ACCsUBbpzs091lbWrKdCLbQ4hEoCgaDkjNlvEzLroWTz0EEnGwoNiTnvbRaLelfFYlEDO4ulQct\nuAbS6NKzfJBsLG6uRYSZ91Sr1SQubjab8Hg80hQgk8ng7//+7/EXf/EXeO6555DNZvG9730Ply5d\nwssvv2zYsIseh1Z8nMtH0co+9hbWHI9MYznpYzQp/fDwEIuLi5ifn5d8KgDs7++jUCgYXmqj0RDC\nBK0bABESEuNpYbTw6fhZ531J9OcPOyvQutEl1efQg+4pY1H+m3Ela3x5nXq9LvNCDjMbyBFA0kqG\ni9tcEaP34uGP1+sVMgcAsawE3giEkXtMi6tRd1IhfT6ftGtlV0aixxsbG8IAe+WVV/Dee+/B6XSi\nXq/DbrdjYWFBWrmaecWPMtjE8dhbWPPEm4VUvzTGb0QU+/0+1tbWEAqFMBgM8NZbb6HVaiGXy4l7\nOBgM4PV6hfrndrulB7B2tShQraVYAAAgAElEQVSgLARgjEo3jNxdupUWiwUej0eK0enyErCie02X\nml6Cdut1OsbcnULH1PQ0mP9kOR/bxlBQ2a5Gx80cdHHH47GBz0z3na48K3F4buZvea8UYCoh3bdK\n1+CS0slyQbrJOzs7yGazSKVSeP3113Ht2jX83d/9HRYXF1EoFDA3N4dcLid75GrvgQpYp3c0QPco\njMdaYKdpSv1/DahQcMllzeVyOHPmDFZWVuDz+bC/v4+NjQ2sr6+jXC4byuS8Xi/a7TbG47FsW0FX\nUHNoaS1oIRgjagSW1mUwGEgL0YODA3EFKVwa6NLNz2jt9Gftdls2y9LfMXsXtHRMKwETUoTNZpPO\nEUR3NQFBF8Dzu9pt1y47n3s8Hku8y3eji+2JulOoGEYQBScKTSXBnQ52d3cRj8cxNzeH69ev44MP\nPsAzzzyDf/3Xf8WJEyewsrIiHTmoVHQ4oT0w85r5vMdj7RKbJ57DjK7quMXn82FxcREWiwVra2tS\nxXLlyhW43W7cvXvXkJMkgNLpdBCNRsWyaIHmQuQCYWpHt2AJBAJwu93Sh1jfm6bhEXWmmw1MFI/Z\nNQWOBI7VPqwR5b3w3ihAjUZDdsKrVquoVqv3bbRVq9VQLpdlwfN67GWsK5E4R3TveZ/sskHvgoqC\nbjdbmDYaDUMjc7qtLDggGMcd3XnOfD4vyH4ymcTm5iYuXryIEydOwO12Y3FxUVJGfO+8V93+5lFM\n7zzWFhaYLqzaBWbMylgzmUxKreny8jK8Xi+2t7dx69YtAEeNu5n/Y1F5pVJBPB5HIBCQahkuRg4u\nep3K4D3QegKQxUiXDzgShnA4LG621TrZMkOjmmaKHYWQLWpYuQNMlBnjRgoNKXzAkWCxy4Wm9nW7\nXXS7XYTDYWkWx205NPWRyozxLN11ChfdX/5QmWgSCFvi8DPG/bpqCDDuEFir1bC/v490Og232431\n9XWk02msrKzgzTffRDqdRjAYNGzBqa0oXXEzr/xRGI+9wOoXoYVIu2h0w5aXl3H+/Hlsbm7ie9/7\nHiKRCDY3N/GjH/0Ibrcbb731lggYtX6z2UQ0GpWUQzQahdVqlX1uNGgC4D6AiCCQbsfCBcl4b25u\nTkCrcDgs1oHIKokUPJ+uR6WS4HXpglJAKCzhcNigdMhLJomC89VqtQRkq9VqCAaDBiCHYJt2y+mG\n0xWnwuv1erKJM2PRRqOBbrcrxfterxerq6sCbjEeZqP1arUqjdeoUPr9PjY2NhCPx5FIJNBut/HG\nG2/gzJkzeO2117C/v49nnnlGdtIzM7S0RX/UxmPtEgP3W1iNCgIQpNTv92NhYQGdTgc+nw/pdBoW\niwXvvPMOBoMB8vk8dnZ2DC1QxuMxqtUq3G63JPiJANOiaiSV7pYue+PQVSQEeDQDB4BYGy54XQ7I\nVAn7BdfrdRFoPi9ZRmbklQ3U6G5z13VggvhS+TB25T3rQgNtORk2UNApvBoJ53lphb1er2HXd+0y\nazIHATEK73g8lqbmJGDoThx2ux3Xrl3DysoKvvrVr4pySaVShnVh9ooeRdf4sRdY7S5yceuWneTn\nzs3NIZVKIZfLYXV1FYFAAHt7e/joo49gsViwu7srnRJ0KiIej4trzEZimgJIQdELUBd1897MQs0K\nFlom0hxJUNBuNQWE7V90TKeRaN4HucUk3xN5JUpNpWLeYIvCxR+mUzinwMSyUtA071dX3LDAXnOt\neR6du2Y3CuaK2+22NCYn5ZGVTrxvpqVIaul0OvjFL36BXC6H5557DtFoFK1WC3Nzc4aGeMBkB3o+\ny7S04OcpwI+9S6wHJ1tbs9FosmUEF8by8jIODg7wX//1X5Lu2NvbE+YRgQ4WlmviO9FbNiuzWq2y\n4LVl4tCWVgshifKkL4bDYUMaQltOLlRdesf/6zhM53uZZiG5nufQ+WFyoink9Cg02GTmNRPAIUPL\nfK+ce7r+8XhcUmjFYlGenywxm80m7W10RRIZTuw8QSIGc72DwQDlclk4xOvr63jjjTfw53/+51hZ\nWcGNGzcQDoeFRsp7N7Oepq2hz9NVfqIEVtPs+G+3241EIoFoNIrNzU0sLi4iHo/j1Vdfxe7uLvx+\nP7a3t1Eul8W62mw2sQoAZHHoEjamH4DJTm4amabbq/OhzNMyLiV5n99nmkOzo/T3dQ2rBqPM7imf\nnd9hvynG0lQ4Wpmw+RstOQeFiPfU7/fFalFJUaBpfc3EDwo3U0e6WXqr1UKtVpPnJs/aYjmqKGIs\nWywW5ZhgMIjRaCTxLfGFarUKj8eD+fl5XLlyRbjJFHgdgmgl9Ci5xE+EwGpkWLOTCHQsLS1J5/6L\nFy8ik8ng9ddfRyaTkS4ItAgkVtCFZLcEdhokaYI5XV34reNaDgoPhcOsvSlA5hhQl7RxoZMYockT\n/I6OJXVaSjOXtAXnOchfpsKJRqPi7gKQeJhDX58uPmNQnoNxJjDZxV2HDJpu2e1279urhyEDU0BO\np1P25CGarTe2DgQCeOqppzA3N4fhcIhsNotAIIB+v49IJCKN2One8xnMa4fPN7OwD3lo4EbHJ91u\nF5cvX0Y0GkWxWMSFCxcEeAoGg6jX69ja2kIul5OFFI/HpS+SdlPZ+rNUKiEYDCISiYhLqCmENptN\nWDksPNeuui4OAGAQHFonM2DVbDZRKBSkbQwJDpoLTCVB5cG86sHBgZDiad0oGFzALIDQQJHe+sNM\n3gcmlp9gkJ57pmQASHUSkWG32y3tU3m9ZDIpCoL75trtdjz99NMYDofyXW7Zmc/nhS+8s7ODhYUF\nWCwWHBwcYHt7G08//TS+853v4Ac/+AHOnz+Pw8NDUWR6kzGuk0eJQPFYCayOL6bxRLWlYewVjUZR\nq9Vw/vx5ZLNZ/PKXv0SxWEQmk0Gz2RTrSm0fCAREWGnZaC3YD6lYLGI0GiGdTgtJAJhsE0mQhIKr\nu/RrxcK4UtMOqeEpjL1eT3ZgByYcXT6zdlUpRCx/4x47LBzXwBS/y5I53hfplwCkLSmHTokwfKCi\n4bOZLRaP5a4HeucBkkj43Brw0nvjEvVlrMs412o92sKS81MoFLC5uYmlpSXZCnQ8HgsVVXsgD4ph\nP+/x2AjstPSNtlz6M7qsXAStVgvLy8uwWq0oFAqyBSQRSe4wbrfbEQwGEQgEDHEXYyvyfHu9Hkql\nEiKRiKSNRqORkO8pEJqlw4WsKYXmoRFMLiwucgI55ANrxg6fkZ8DEG5xKpUS8gAVB7m+et6oeAhk\nUWg5GBroOFCDYZq5pQWbFpLCxlasrOFliozPzFYzJGlYLJMNxazWoxraSqUiCqfRaKBUKsHv98uG\n2GfPnoXNZpOsQDKZlHjXrPAftTj2sUnrTHNXtGXVgwuFLzGRSCAUCqHX6yEcDmNhYQH9fh/lclk6\nz4/HR3xVLhQuShLSibQyVwoA1WpVOhRqPq3+AYwpJ83o0WkeXX/K++di17EXyRAkE1AYmJflImRv\n4IWFBQATphAFltfUaDqP0ZU2fAbdL8q86BkKAEaQTCOzPA9jZl1Dyw6LPIZ1rnTP+Z1wOCz9nRla\nDIdDFItFhMNh6Xd18+ZNdDodPPXUU2i328hms5JX1+9hWh7283aLH1sLSytGzU6yPWNOp9OJkydP\nwuFw4OzZs8KaYRPrVqslLTeZBiE9UFsPAFJzyvgnEAgIEZ28Ys1wIj+WRAbt8gETRQPcn/YBYCDv\n63yungP9dxYScHHzeTqdDu7cuSPsKZ5jNBrB6/XeB7Boy8rPNXhkBroo4JpFxGtoT8LtdksL2Gl9\nkB0Oh6F4geekS869jjSqzvkcDAaoVquIRCKo1WqoVqu4ffu2NCgglTQWi4mC1mvKDOB93uOxEVit\nEYFJCxNNLqDWtdvtWFlZwcLCAk6fPo3nn39e6l25o/f+/j729vYEeY3H40in0xKH0n3lb6LDtVpN\nEON6vY52uy30N+7VSjdZd2bgvekkPjBBkTXySgvC9I+2zLSEdBUZIzudTgM4xO+yITcJ+kSx4/E4\n7Ha7gbqnixAo4OY4l4uccTHnSMey+lkZi8/Pz4t7zpQY31+j0UAoFILX65WwhII9Ho9FuQ6HQwSD\nQfj9ftlci323SHLJ5/OiwL/xjW8gkUggn8/j6aefRq/Xk03LdKtarTQ/b+F9bATWTA4wJ7j1Yvf5\nfMhmsxiNRlhYWIDT6USxWMT169fR7XYRDAbx4YcfiiVk+xZdhE7BoltI60CXql6vS8kZAR9z3Mf7\nNKddqFwYo2mU22zFaDUJmgAT91vTEHk8LRRzqVRAdE1pvXnuQCAgrrYufaMbysWvQTHz/PPeeW7O\nEe9NexcWi0UUIi00sQEqR84jy+vM6SwKOpFuu92OZrMp74Ox7P7+Pk6fPo3bt28LNTWXy0kYY2Y1\nfd7CCjxGAgsYkVWNCmutrjdTqtVqSKfTGI1GuH79Ora3t8UVZM0ru9AHg0GxUmxNQn6rTr24XC7Z\n/pH5QLqlvBcqDloJnkPHaXph83jtoupSPYJRFAxaS8aOPKfeGY+pKLqQtMYAJA5m/pOCQtdaEx94\n3/yM19PuL++XnoMuUOe9aMXEz/isPFaXAep+UPQcWFDA+ep2u2i1WgAgm5D5/X5UKhWUSiVsbGxg\nbW0Nr7zyilQm+f1+IWZQkejw5ONAwc9iPDYCOw0M0OgetbvP55NcK3C0bePm5iY+/PBDERJ2imeu\nkW6ljlO1a8xrcNHSbdMxpK4/pSARCeXfzV4Cn4Gf6ZSDBqJ0fEylYaYEejweyZHq/W4ACOUSgFik\nVqslOdnRaGRo+aItMa0qU1XmtA3/T6E3c471dcn80ikgpmhIu+Q1eZ+a6DEcHu3Sx5Y0pC8Gg0EU\nCgUkEglRTIPB0b48L7zwAr7whS/g6tWrUgTBFJOZ5KI9hM8LfHpsBFYPnULQi4WxWSAQEMKAzWbD\nnTt3pL6z3W6LdWWMpStVdMqCFL5pL5WlcHqh0SJS0DWj50E5WG2tzNaVAsxz0BvQtaI8hqgqy9eA\nI+EmekzrogWo1WrJ82skGzA2AeBzm9FsPocm1vO+eJxu2crv0VUeDAZSr0tQi5ZeCzifk7RFtukh\nRsCd31utloQ23O7D5/Ph4sWLuHr1KrrdLjKZjJTdaS62XlPm8VkK8GMhsGbQRS8Wvfjdbrd0IAwE\nAlhdXUU+n0e5XBa3slaroVgsIhaLodVqweVyCerLGI7X4WI2WzpaVh0falI+h7ZWZn6wdo/NOUy6\nq26320DcGAwGhj1hKcxET1utFsrlslybrqjT6ZQOimy9wpwkCQq0Svq+gYng0tXm/NM11Sg2/68X\nvY7hiQIDkObm3GSLXgFdeZ2z1i67bkbg8XjQarXEM6pWq9JGtd/vC1C1sLCAdDqNvb09Edj9/X1D\nWkcrfb22eP3PSmgfC4HVQIeeZG0FnE4n1tbWMD8/D7/fj8uXL+PChQt46aWXUC6X4XA4cOfOHdy7\ndw+Hh4eSo/P7/RgOh9jd3cVgMMDy8jKq1Sqazaa0bKFg6piOVD9aW12gTmBFx33U5uZ8pV4gFESH\nwyHuHnOq2WzWsHM6f9P93t/fR6vVEkFuNBqSnwSOBGR7e1t2CdCKT7Ok6CXwXpkL1kJIhaLfh2Zi\ncT7sdrsoBsasRNl5zW63i2KxeF8aiOGEBtLG46O9dritpd1ux/7+PiqVCiqVinhEmUwGPp8PzWYT\n77zzDs6ePYtvfOMbeOmll3BwcIDl5WV8+OGH970HM9vMLLSfxXgsBBaYXmSs82hs9N3v9+XfVqsV\nlUpFYja2U7FarbKtIxk8oVBI6jGZTiBPlnu7aquo+bKajMBBF05bVlpaupbTBFi7zxQqgkMul0sE\ngm4yUxR0K3VKiYu63W4bGpgDkD14dK0plYwmjXDhakRbx92cf5vNJmR8Ygn0XOgW06Ul6sscarvd\nluJ2PicVJAWWg/2f3W63pNXIPdbxNOfo/fffRygUQjKZxIULF/Cb3/wGdvvRhmAazKLy0Ujx5xHH\nPjYCa3Yh6XrydzabhdfrFXjf5/OhUqmg3W5LN3nu+Mb8I/Oj3HeGe5PG43HZsImMKe0yARDLod0p\nDm01KXQ6ftX3r6tc6JJrBFa7pjrlQreUx9IKUQi4Lebly5elhC0SiQi/WTOiSDrRIBObzOkFTE+B\nioNCRwVEF5RuPdM2TD+x8yTPza4RJEmEw2HxGjRopQWRuADnrNlsolgsCtaglZDNdtQW9eDgAKur\nq7h06ZI0gk8kEgY0mu9imkv8WY7HRmCnuSZc4FarFfF4HI1GQxqtud1u2Yul2WwKMsh4kCguieNs\nLMYuBuwwwcXIBaLRUwqiFliNkupeTLx3CgS/qyttNNilF485hWKOubjIWY62tbUlhfdMUfE+mEtm\nNwcqI02M4DXJi2aVDe+XHogGh8hdNrO0+B2n0ylzzC4TPI4WU291ookhmsjC+bbb7QLAUVhbrRaq\n1SqSyaQBYc7n8xiNRlheXkYqlcLGxgYWFxdxcHBgYMdxbj9PlPix4hLrRD0tFIWJzcV8Ph8ymQwG\ngwF2dnZgsViEjcSFMxqNJM/Kz+hqMQ/JbvjM/ZmT6vqlUvjMbjH/pu+fi017CLRITGeQ0MGFqn8o\nSNqKUCh4Pw6HA8vLy8hmsxJ/8j7IhU6lUhLfMu1DN5vsJlp/WkZegwKlc6QEoXSelkJG78aMBDNe\nZ/cJs2fB1jb8CYVCcpxmX3GTa8bHunWNzWbD3t4e7ty5A4vFghMnTqDT6YhHprMCWiGaSRWf1Xhs\nLKy2QlzsZBnxb+zAl0gkcO/ePRwcHEh7Egogy9/oBnITYjNwpIXK7NLy93g8FiukNTMXrfnfmpqo\nBZaWBoABJeZi0iAI3WwKvhZgnm9lZQXLy8uSuuHzcnNolq+xpxNzu7wPKgOHw4FqtWrossFr63ys\nRqw5N7wf3WKGfyM3mK4wgT39XFSgGrEGIFVGnEsqW1IN2TFSW+NCoYAbN24gGo3i5MmTogDYUN5M\nwDGPz9LaPhYCa45X+TIYj549exbdbhcXL17E17/+deTzebzzzjuyV02hUECxWJT4jW5ULBYTrW22\nhACE86obf2u3lvdEi0PSBRc441zygbkYOp2OoLv8nB0UuAjJRtJ8Vy4qDeJwaMKAzWZDPp+H1+vF\nysqKxH08j3YvuUh1RZDNZkO1WpVi8UuXLokCoYeildpwOITX6xUPQTOqmAcGIDE0XXWWJ2rQi1xs\nuuCaSMFm5HyOYrGI/f19UbYul0sseSgUMiiY9fV1ZDIZPPvss3jxxRfxox/9CKdOncLBwQEODg7u\nC1906PJZjmMvsOa4zQzEBINBxGIx2O12pNNpAMDOzo7sV0Oqmy6DI4E8EAgYqHkESHgtVpMwLqMw\naGtJ15HWttfrSSzGxmHM5waDQRFQnfIxa3Vyh0nq14KprTXnwO12y7PzfMzf0lI+KL+oc8g8d7Va\nxa1bt7C/vw/gqIwwFosZlJVWJmRK8Tzdblf4wGx8x07+3LRK78/D+J+xKOdYW3zuEsDrN5tN3Lt3\nD7VaDZlMBuPxWNBiKko+GzMBW1tbOH36NE6dOiVUxXA4jFwuJ0pDhz4zl/h3HDoZT/eUgEssFpMu\nEel0GuVyWQQWgGHbQwoZwQpWmNCSag4xABE83oPWwBaLxdBVnwuLi1Mj2rSoBFaACaqr84C09BTm\nfr8Pj8cjjcTo9mlhpQCyMRktNC1+u902bBnJudToMueUrViuX7+O/f19caV1PKpTWObFTWXHTayJ\nCFMZ5vN5AJMdAzivmv6oU0r6GPa04pzX63W4XC5DK1NecxqLaTgcYm9vD7lcDufOnZP1lEwmsbW1\nZQitdE7WjF087HFsQSedMNcWFZjkPX0+H1KpFIbDoXRD3N7eln1dqYl1uoLn1akBsp0CgYC4V7RK\nBFboDmpqH/sPdTodlEol2RqRL5tuLReMrsXUz8bzM4bmd5rNJnK5HBqNhuSMdazNBanjP1IlKQB0\nMZkWYn6Y86B3bXc6nbhz5w62traEBmm1WsV6muNn3iswaSZHJafTRJ1OB1tbWyiVSlK+p4klfL96\nLx0dT+rC/Fqthnw+b9g/VoN+VqtVBJuKisq9Wq3i7t27wnDr9/tIJpMIBoOGtact62dtZY+twOqY\nUQNNXORW69H+M2wavby8jF6vh93dXUEfAQhCqStQzIiorr3kQtHpG/09op7ct6Xf76PZbKJcLqNS\nqRj6FpEkwHumAJvjSD6vfj5a1Dt37uDDDz9EsViU+9WkC84FLYlGz/Wc6YJxYJLe0XFap9PB5uam\n4b50rS0FSKOwVJ7AxFqSXkj2E3DUSC6ZTEqvLP2O+RzajdXW3Wx5+d1yuSxbg/JzKgiyn3T54Wg0\nwu7urvDMh8OhbPBlDjuoRD/r9M6xdok1yMTBBerz+bC8vCw9jlZWVvDaa69hZ2dHNgMGgGKxKD2A\nmELQgARdYS5cEtKp7bUl0ZaL8RRbtbhcLrRaLezt7YlAOhwOxONx2aKRwq9TMtNyvBpssdvt2NnZ\nwd27dxEMBvHcc88hFosBmFgkbTGHw6HkQxnP6Uqk8XgsC5QVL6VSCZubmyKsBNoikQgSiYSBf8xQ\nggqI8eZgcNSuplwuo1qtyrN2Oh00Gg0sLCzgxIkT8i55T/Q8+K71u9doMK+TTCYRiUQEDaaHQ2vL\nvX7tdjsSiYSsH3aeODw8xNWrV3Hp0iX853/+J1qtFlZXV7G3tyceEq+vFfZnJbjHVmC1+8WhF3Qy\nmRS+aDKZRLFYRLlcFpcImLQx4b8dDofUvWrwisijBqg0A4l5Tp5HWxVd7sad3rjRE++f1UDmTgdm\nEE0zbgicUDhZYXLr1i3ZJlO7jNrCaCvEhU8FxXTKYHDU4iaXy2FjY0NSYEyzxGIxRCIRuN1uoRJy\n2wx2sOC9agLJaDRCvV7H4eGhUA7pllORuN1uQ9xJi8b7JBGErrcuyyOAx7JFvjsqRN1VQ28Era+T\ny+WwsrKCQCAgG35FIhGDJ6Zzwp9lHHssBdYcQ5gJCoFAAJlMRmKzc+fOYXt7G5VKRZBbLlS6Nszr\nkRzBxczd4LhguHsbhVXHsTovywUHwHAs4z4Kf7fbNSx0YLJNhTltQGGjW00rxIL5RqOB3d1d9Pt9\nzM3NyXaLOn6l+8v41kzxo+U4ODgQgE6725FIBKFQSPaz1Qwuut66ObiZG62vS8XAiiLAuM+QLqo3\nI9+cZwqodre1smRenbRUelbNZtMQZvA7NtvR1iB+vx/pdBr1el3y0poUopH0z3IcW4HV1sfMRgkE\nApJmCIfDWFtbw0cffXTfHiqagM+FT/6wjpm0YAMTd43X1W6rXqjaVdPxDku/uACp5ekh8O/aKtIC\nEDDRsTarVuh2b29vywbOrP+lcBFR5TzSuuhnrVarWF9fF641hdxuP2qkzs6E2uoxluRWmNVqVXLY\n2nUcjY4avC0vL8Nut6NaraJSqaDRaMiuAvR6CHpp66cVADDpsghAlJnGGrjZF60wG+O1Wi04HA4D\nssziAoJOsVgMN27cEKacBsI0IDjNyj4s+uKxFFgtAGYLxI2jhsMhKpWK5GFLpRJsNpu4SDwPayvZ\n2oXoLyeccR1w9BI0EsyhrRbdLp0+0W4UYzIuIrJ66C5rS8Jzc1GwZI+uIO+TqSCHw4F0Oi0lZe12\nG4VCAdlsFsvLy+J28/xc1FQE1WoV9Xod1WoVhUJBlA+vF4lEpOUon4fnoUdBYQEgwkrFRuEiYMS5\nZihAgaBHw9AjFouJd8G5pXLje2GqiK61BonYy4kF/GbCBr2d8XiMSCQi7ygejwvAx61EzTRUvVa0\ngD4sy3tsBRYwUgL5fwoot3vgBsNMGeiXrF0ogkva4uh0D1+MTumY3TQNDlmtVsm3ah4wf2gViJiy\ny4XH47kvTtKIMZ9ZL1o9DwRV9vf3pS8yARginjp2r9frKJfLUl5YrVZRq9UEFKOgEGCiUJrnntaQ\n4Jvu0sg4fTwey+4IjJfpBbXbbUnF6Jz4aDRCOBw2XIt/MysDzj2JIXTNWX5IumW9XpeWp9ywjO+J\nc99oNJBIJOD1elEulyVcqlarhveuEWg9ZhZWDa3VNGliPB5jcXER0WgU+/v7SKVSeO6556QKhPlK\nvhz2uvX7/YhGo+JCsdKDLpbeY4buoK4LpUDRFdbpJioGTU6o1+tCvyPIMRwedT5gHSrbn2rrRRdY\n0/voBeiURiQSgd/vR6FQQD6fR7FYxOHhobh8mUwG6XQaw+EQv/71r9FsNoVFpFMpJGYsLS2Ju6rn\nm+FAMBiU67O4nIAVSxkpTCTU6/kj8r67uyv5ZH5vPB4LOAUY01G8VxJARqORAFYUYE1csdlssmdS\no9HAzs6ObLuSzWYNCvXKlSu4fPkyVldX8cYbb8Dv9+PkyZM4PDy8j5aoAaiHHdMeK4E1ux5au2lG\nD61WIpFAIpEQdNgca5RKJTgcDgGaKHxMw9Di6S05SGPTyK15AemUBV1Kam8iqk6nU3Kp8XhcrLtW\nFlwUOnbShA1gemUSzxOPx8VyaRQagAgAt8bQ8Tctl8fjQSaTMTCzOM9UGPw/kV6dZ6VrSYCM88/O\nhERd6eZTIRFHoHDS0nKOqaAICNKD4Zzz+XXelu+A8zsej4UGyeJ9ZhDIta5Wq0ilUsIVJ1bA5+Zv\nHbbMBPb/D1pVDTKZFxFR2Ha7DZ/Phy984Qtwu93I5/NiJWnluIUFXWDNbGJcyXhJL+hmsymLgK4z\nXVPdDE2DEu12W+IxLcRsp8kyNgqcLiejddb5SY/Hcx+4otMaFBSHwyGdMoCJgmO8qjdN1gqAVpTp\nDLq7VE7mHsj8nBxnPi/Rdu0BEA1mIzRaxuHwqN8w993VVkyHQNo6kz/Mz+i1EGvQLj1DEpJgms0m\nms0mMpmM7ObO90cF2el0kE6nZUsXdtHUa0/Pq/mzhyHAx0ZgAdzn/vIzYFI5Y7UebWKVSqWwurqK\nRqOB9fV1Q9xIsIkvnonx6G4AACAASURBVMKhwR1ddsYFRyvJl0OQw9wgXDcCa7fbaLVaUvZFS6nR\nV11qpveUpZXhTmxcBLQGTKFwLjTRgJ/pLoH8PpUAraxWhkxJWSwW2R0OgFg0EkV0DpRCommWPC+F\niUqRLj/nUhNBgsGgFEBo6iJ533r/m8FgIMpzPJ40zzt58qTMm1buBIs8Ho80jue+OmzyRuVNxWK1\nHjU+8Pv9ODg4wPz8/H2WVCtWPTQY+mmOYyOwZjeY1pJCTPI8j8lms/D5fCiVStjb25Pvk9bGRaBd\nGnak4ELWgA0Xs957tdlsiovJtIE+HxWDZj6Nx2OpFOJ2F9TaOv3A5wOMKLR2z81MIKYkOBiTs+OD\ntgS8LzNoosE1nWelVWUaBzhyq+nVUPEQcKNlpRfCqhgi3YzT+f4IBtGyM0VFRJfvgPEpmVXD4VBA\nO/5wHqkkx+OxzAuVBl1x7pmkucXj8Vg8MJfLJYUTunaXa1CvT3N+9mEI7bERWOD+rRM4cdRueoGx\nSqNUKslGx3Rz2AxMWwzgqEwMmMSeFFwAkg6hpdLtYXhtbpvBl6WFggsVOErac++a0WgkqSJaNB5r\njg/pkpONRCuuh/4u3U/dDkXPIe+Ni5qLFYBck5/xGM29pWuuW7rQDdUbV1F4KcDm98kUzr179+S+\nqfQ0ok3h4nsgkaXRaGA4HCIcDsu2kQQPmSYics375n2QtqjfsdVqRbPZxObmJs6dO4dsNosrV64Y\n7gkw5sf13HE8sSgxX7p5AnSqw2KxYH5+XoQuHo+jUqngrbfeQjAYFK0OQCws47hgMIhisSgpDaKN\ntLas3Oj1eqjVagKWpNNpxONxsRZcJDreI8OGC4ZdLMwxOCmG2sXS6R3d5YGf07oz38tr+nw+g/tO\nl07HcrSgWmhoJako6EnwvJwXChUVA60cBZWWkcpQ7y3r9XqFfcV4lxzu559/Hr1eT3ZQ5zWoOJvN\npihKej9E+elx8B1wXon08/dgMEAkEkEmkxG6JUEugmN8B4VCAbdu3UIsFsNgMECxWEQ0GhWlqRUT\n503jKU+swJqBB7rCepAd1Gw2sbi4iEAggEKhIILExU0rVSwWRXi4iLkwGE+1Wi3k83kBeijAzJWy\nAXk0GhWty1iZsSJRSS4yxn2ar0yLR3eNsRkAg+XrdrtCAGABuyZrECTTFpHCRYWnux1qF1m72PyM\nqCotJTDhVRNp1QJNd17fi3Yf6XUQa6BAApAUF2NX9hF2Op2SFmJsDUyYRkT4+RkFjoPnAIByuYxG\noyFKmrsTsl2txke45srlMtLpNEKhEBqNhgBWnCOdozev1YcxjoXAakv0oLiAO5zV63WcOnUKXq8X\nd+/eNaRZgAkKSuQ0EAhgNBpJdwkCIhoY0YLK+wBgQIXJT9bFBAAMloqLUxMhdGxEl54ItdbWupxP\nd2LgOfhDK67jUk0woFDxc/6mheE5+UyMO4lg6xSNbkVDgSInmn+nMqCHoN8FwSpaPoYuHo8Hm5ub\nsNvtWF5elrkmgMaKIcbOjKmJ9BPt51yTAaeZTvQUyuWybHam00O891KphKWlJaTTady5c0dy41yL\nWilpQX1YQnssBJYPr+Mh82SRLxsOh/HUU0+h0+lge3sb4/FYcp9cMIxrmFd1u93iFjHWYmG40+lE\nKBQSYgUtgMVikcbkmgQAGNFsanCdu2U6h1tG6PwwhYYxFgEZr9cr+VAt5LwXpnU4tPVmTK5JHvr8\ntL58Dgq9RsfpmuqUCeN1KpVut4t6vS5cZ841Y0OdG9UdNiyWIzIJEXLuuMDm4fpYCiW7bND688fv\n98s802Kz7liDXgxdDg4OpG6az63XVrvdhtPpRCqVwtbWFiKRCLa2tgzrkop0Wgrq0x7HQmA5+FLM\n8QJfFHDUMJz7o9RqNQCTGIrwPt1hxjzcP0YvvE6nI0LAdAsXJxcjXzrjGLJseBxrPelyaTBKA1oU\nNC4uYDotkbEarRaRVI1I0o3lc3OBUlhZ6aMriLg4aX11rpHWi4PWntegC6ypgFSOBOi0ggUmO9Xx\n2QjWMRYeDodIp9OS4mHqiF4FMAGgzBZVezYatdfuMhFrt9uNarWKYrGIeDxuMAA8p91uRzQaRSwW\nQ6/XE2Sfx5h5xbz2E21htXBS63MyASAajWJxcRGDwQCXL1+G0+nEvXv3ZMFqGl+5XEY+n4fT6UQs\nFkMwGJQ4VvdoSiQSCIVCKJVKAqKwaJuCT0FhPEprlM/nDawmvlRS6Mhs4uJiXpWuIc/De2fMR0Gj\ny8zP6UZzUepSPRL6NWjFOJasLV3twhSI2+1GoVCQ1qc+nw/9/tEudwS++F50PapGrokqa1CG6RZ+\nV7uhfL8cOj6cluulBSVjDIAIPUMMfo9gHGtgKXAApMMEyf7D4VDa3tJTowudTqelTpZrU+edH/Y4\nFgILGPNaOlYbj8fSRJp7g9brdanh1C1YWF7V6/WExaMJCYzJtMtMt5VNvSi4jJ+05ez3+9IAjIuL\n19VEDCKZ4/HYwJmlJdV5XD4742Wej1qciKvFYpGtRrhnDvOvBKi0h6DdWc3a4rXoyup+SYzl6epq\noEoLl3bbgUk1DQWXYA09FJ1b5z1QWREQrNVq4tJyrugF6abhvBYw6QLCmJutYYgU09pybol607qy\nBnZvbw/ZbBbRaBShUAg+nw+tVktCm2kpnYc1joXA6hepBQyAWBoAYtG4CVK/35c6S1o38mppOXSs\nR9eML5dxZq/XE4I8F1s4HDa4QARkWq2WWAyCW71eT2iAeq9Vxt78P4WAz0rrTIvEVBOfVSsLuuak\n+vFvzDdT0HivFCaNFvNZ9BxTcIlgU1h4DR2r6s800KSP0wgsrSSFjNZVg35UoFrhcZCAQqUzGo1E\naevr0hWuVqvCFaYyLhaL8t419sB3bbMdNR+PxWKSegMmBfscDCO0N/gwxrEQWAqAnhC+TMaXOsdG\nOiCbRtvtk31lWLjMcikKKF8qNTjdPNbJMv/KekuyZIiwctHQlWXOlscCQCqVMrxkXeoWCATElePx\ndNl0DawZCdXWTbdZ4ff0do5cZDyHLngw0wlpfXT3CHoRAAzdFPk9jZrrdBTvkwKgU1Fa+HU8yx3g\nuQcQ74tWkOuCpItGoyFKmvsk+Xw+hMNhqWPVKSl6SRrf0EqG86f3/HG5XLJhNNekRoz1Wn1Y45EX\nWLO24v/5kilozG2m02l89NFHIki6Ez07CwATcEJrUp1wJ3uH/9fW0uE4auLGVBAw6W+srW6lUgEA\n6ZrIht586dyQ2Sx8epjTUnRRKUQc1PDajaay4v1rgE7Hz0xxcaHS8vG++F3OhZnAQfeXXoYm4mv3\nXd+bdokZf+pnpvvK43gfugiChRUkYBAJJibAd0DeMWNevmt6HYz/dawNTJRSrVZDuVy+D+CkctLz\n/sQLrHZ/gQm7iS9dV9sQcNna2jK4Q1xYpCQSXTVbST1Yt8kkOXnKrARit0EKNl+cx+MRK0eXlMLE\n2kztIlKpsE2MprvR+mhkWvfkNbuYXECcJ6Y/arWauIwsVqCiovUxx86j0Ug6NehUlo6jgYky06ix\nVjwkR/Bd6ZiPwqgLGIrFInZ2dgzPx31k6b0wZCHH2GY7au/D3laRSASj0VHRAMEjgmEEqAjcAZC0\nG+dYh1sMpRhWkGzD47VS+yzGIyWw03x/7W7oNASPI0JM6t2tW7ewsbEhx3NjXgDSz0cvJh27aeXA\nXCMJ9c1mU5L2tVoNPp9PXjSFRbNsyI4ig8rr9SIWixn6FelFo2l+2gUlek0BpoAz5qOi4XkpAJqM\nsbi4iHv37sHhcCAcDiMajcqiZrM6hg+8htfrRTKZlFQShVyjulr49Ge8f7q+ZhSVv/msPIbo7fLy\nsggDwx0y1HTX/oWFBSQSCUN5IEHHnZ0daV+rOc2rq6sAjrpMsgNFpVJBtVo15HCppDjf3D0in88j\nlUqJIdDMLi30D2s8UgL7cYG6doM1lY6CxYnzeDzwer3i+tJNAyYd82nxKKy0CCSN6/iL20aw+Fun\nTYhgMj1Ct1gvRGAChpGayOvr6iIOLizeG5+TCoD3pgsAtHvM9IMmLWhkmogp43SSTRj/0iIFg0Hh\n/XJO+TwkkHBQIDRxg/Eo/61jbd4zF7j+CQaDCIVCEn+TWWSzHfXjOjw8hM1mQzKZlJwo543P7PF4\nEI1GDRU59HY6nY6wmjRtUe/BQ3oplTC9nng8jo8++ui+eJfeB5XnNIH9tICoR0pg9TDntKahbxrC\nt1gsiMfjBsYQCfvmFIVmCulFz/SHpv2ROEHtS6vIxaHdVr40fo+oNK/J73CY+x7pfDEwIVTQolJB\nUEFRcLQbzf5FjOd4bbvdLuwhziPJB3xmuu3j8RiZTEbK3EgIoVvKGFDH/FQSepHThTUj+wQN9d/5\nezQaCXJL9N9c1ubxeBCPxw0ldKwsqtfr4i1wiw1yzAnMcaPu8XhsYFrx/vkOCGixAfrc3Jyg806n\nUxBpPR5kXT8t1PiRElgtkFqY9MPqF09onkI5Pz8vSKGm/DEfS6tEUImsH16bAk7LZ7VaDTRC4Ij8\nTsHiwtUUPu2ajcdjxONxAYAGg4Egs9pV1DEqPQIKOIeOTQEYhJE5RFpabbHobZBrDUAEmGklTYBn\nuiuZTAKY8HM5n7SKFBB6PZxHxrxUmBwUBHOcSKTZYrEIbkAB1EpqODzqSBEKheRveo1QkXS7XRQK\nBQwGA/j9fulgQSCLhBaiyQw5NENLc6wHg6OG6j/84Q/x7W9/G9VqFdFoFMFgEKVSyUBy0YrrYaV2\nHimBNT+gfrH674yTuAi5q5q5G4LOxWkyBN1BtgGl1tXsHb2DGt0sphmASRqAWp4LguQFau6VlRUA\nwOHhoQHM0C+UC0R7ALQ6RDgZR9F609pznqiMNKLLmJqW3OFwoFwuS4zL49vtNur1OmKxGKLRqBAU\n6Mrzh8JBZaJTPPq62hWdNnRow7zqeDyWWld6TTwnY1uHwyEeAtNhVMC8JwJpo9FICgQISNrtdtmF\nnUiyRnlpDDg/mrjxox/9CIFAAM1mEwsLC5ITpyLVsfwTnYfVCBytBifW6/UK+YHAxN27d8Vd05PH\nRQRMwCbyir1eryFO0ukgzVMFILW1tFD8O1FnvkDWa25vbyMej4tl4LlJZ9SADQXXHNcxlmMaiwR5\n7bbTOnCR01V2u92G+JP3yeekwNrtR32H6UlwwdFjoQLhPXO+6f7qGJKWiUIBGHsYa0VML4Xoq34m\nHUbotBqFhTl1KlmGJNwbiZ4AhZp5X7bc0T2meQ16Y8FgUNaZ2+3G6uoq/ud//gdnzpyBzWYzNFPn\nmqTS5Lp97C2seeh0hXaNOfmxWAxerxf1eh1PPfUUzp07h3/6p39CMpmUFAhBGKZUWKbFBZbNZuV8\nFPJgMCi1p16v975uCRRk8lIZq9KV63a7yOVyWFxcFFaVTmX4/X5ZiFykjJ95flptunW6ny/BIgCG\nNBEFVcdh2pV1Op2IRqMol8u4efMmfD4fMpkM7HY7zpw5A6vVimq1Ks3QqCA0KYCLlIqDcR4waWXD\nhuOccwovwwQdRlBomAtmWMIfzjUA8YQ4x3q+AEhfJ3Y61Kk63QWT98T3QJS82WxKE3reH8OH06dP\ni5KsVCqGonmdYqT387CQ4kd2u0mtNfX/tbtH94jc3UKhgLm5OQATt5gTSIvCUq3BYCA1rrR4TufR\nLujUoFwQFBBz7rPRaMg2E5pJRKApEAjI+fk9noeCRpeL1oRWWlseLiwuAn28tlT0GjTTaFr1DS1f\no9GQHRF0HS3TV4wdgYnV57kB404G2kJZrVaJ1YlOa2Sf39dFChyj0Uj42JxnWsV8Po+9vT3ZSIv5\nVE1lNPOTeS2CWOZ8sSaLcL8dXpNzarfbUS6XMRgMpOG7tuzaLebae1jjkbWwZlSRQ8c+ZBpVq1Us\nLy8Lh1gjx9SUrVZLrGgwGBRLwHOxhxHBHGDSDR6A4UVzwZdKJdlciQuXsSz3mKGQ0x2mZeRiIMqp\n0wI6rWRO+eh4nIuSSklrd13tw/iP80hqXq1WQ6VSEY4sUzHM8Wp3nc+h3wdReg0MmcEk3iM9HbrM\nOt7VaRIS+nUo02w2UalUJP6mImMHCI2C67miEuG8spSy1+sZdiGkh0CXlvfD5/V4PAgEAlhbW8NL\nL70khBIqYZ0zf9gkikdWYPUwI8fAhD7Iz0+dOmVwg/QLAyCMJb40Llqr1SptRujmdTodgey5gJjv\n1YAVd58jWYEVHLSkfPHAZEc63peOjXXuVS94KhPdXRCYABxMV2nUWQNDdINpJfg5N4ii0BM4A2Ao\njaPrarayPJd+Plpzfq7jTubHdTcKc86SFp/FExRKhhsE3rxer2xHYgabiOZTgDTPVysOhjwa4dbK\nXTfY4zMvLCzg1KlTBuutc+1Urg8CnR77PCxwf+WIjhXoxnHi+RKDwSAajYYczziMFEE2VeOip/Bq\nbipbXPIlcpGTf6q5qQDE4pE1QzRXCyAwsUy6RExXivBcOsdJTc7420y258Ll0AKgLba2bJwXzgPT\nIZoRpOuImTLidWk5qYA0Y4vX1y4wY1QqKS1QFAoChyQjmLtU9Pt9+P1+rK6uwuk86iscDAYNbjWP\n0dfXSo4pncHgqEgEmNTPkhHHd60RZMbsrJvW27dQsWhv6Il0iYHpWovameDD4eGhxBhnzpzB+++/\nb0BfeTwtSCKREMtF6zMej3F4eGho+K17O1mtVolpm82mgEDpdFqsrNfrRTQaRTgcRqPREOaM5hQT\npSYAo4urKQhc+JrJRG+CC1crKloILfDApKGb1uw6l0vlQzBGdzlk61L2btZtQLlYKai8L+aYNUKs\nF65e3NoNplAS7KOnQKHp94/29+E+SMwpp9NpuT4AKS/k+TivvG/SGulaW61WqZ6iMiQGoHOxFHjG\n1KyqoqWlIuA5tDei8Q7OBT//XccjLbAcnHhgEsN6vV6DFaBmpJunAQ4KAhcqAR2CJBrkIJBBaqOu\n0SRIpd027R7yNwveuc8oCfC8V7revC8KAJ+Pz6xrX82LkEpFLwBtaXWsTVIEF5TON09bVBQkcxyo\nc9g6d0wknRaKLj9dy0ajIefU6R1N9GAKiqwknW5hcUA4HEYymZQ5Jk1U1+maBQWAvF8SJpgWI7ec\n9665wXwHXD8EEnXROpWLzovreZxmaf+v1veRFVhtJWmBdDxCQj23XGA8p5P2jEE1cMLFz0U1GBwV\nR3Ox0YqwBpIpHcamZNgQxCLIxMWsUUuSKJhzNYMTFAiNSAKTcjWfz2folcQ4WseVWjkBxh7OXFC0\nnmah6XQ6hlIxnlNbXJ5Po81csLxvHTPzOWhxKYB8Lv2MXOx8NwAM3oP2DNxut2wdyuvy2hRSrYT4\n7kiqYf6Z6TrOA+NaHZNrj4fXoHImpgHAQJrR61YbGPN6/r+ORzqtw8EFSK1J1BU4ApNCoZDEYy6X\ny1CTycEXShoeLScpi7RY2o3mQqTrzAJ4alQKknaf6HZpba+tNHOutHhcHFxA5lhIx4GAEY3Wikwv\nWi48LlA+v073MD7XgAzvQ6d0eH3e37R0jwbENFJMb0UzxjhP2jvi8dq11++e+eNAICAWXu+zo8MK\nPieR4EajIR4ZOdFWq1UyBfRudImfVqRUZGw8z7a4zCxwLs3ezzS3d5og/2/HI2Vhze6E2apqBJWo\nY7VaxcmTJ+H3+w2oICdcg1WAsQCcbgwXLN1Qc05Sd5kgKEUGEf4fe2fW2/h9nf+Hi3buFEVJo2U0\nmz12Jl6S2GmK9t8iQAv0ppd9Ab3Oy+hNX0SvCrQXbS9bNGmAtkEQNLGd1MvYHs8iiVq4iZtI7ST/\nF+rn8PA3GseJN2nMAwxmRiJ/6/dsz3nO+WpgadkQmWkHfjMpz7wizEQBvDGiBOOnMeDpMA6eGIEC\ncixv6HyeSP7rPRNKg+FhO0Wu0zfwe8/NebxnAgDzeSQRz0XTKby39p7UI8lcI6NmiZrI/amb8k77\n/fP+ZSiVGJzJyUnLPSkRkQvzPd6rz/N5fmdnZ1pfX9fW1pbN3+IdEWnwfoPhcPDZPbch8UXirSih\nYbvd1tTUlGZmZgyYkDQUavECWRC8oEQiYS/Ge26vCGNjY5b/YBSYmJfNZo05U61WrU44MzOjZDJp\no0Q4FveAMvpOIowDi8TnlygQ1+qvN7jYfdkB4gcGAhqhR8+j0ai1nQX3ZcUISAOD4xFcrslzuPnb\ne2cMBMbU531cn1/UhKL+eWEcUUBSFVBbjgGJJRwOG+YAEWZmZsYmTfJOMQx+OByGgmcfiURUr9fV\narWGcm+un3vyKRzijfEXERJfKoX1VimYF0hPz3YCyEmlUlpaWlK5XJY0HHqBdrJADg8P1Ww2Lcea\nnZ0dmhgBObxcLptCzc7O6vbt2+p2u9rd3bXFVCqV7IXEYjG99NJLKpVKBlB5D0Ee68M3lIZSEQAK\n98b3Aanweicng7188KB+6iG5NM8N2qMvcRA6MumCcJPyly+9gBJT3iCfRik9euwZWjxTymZ+yDji\n7zcIJnFOumMkWVMGCkIUUqlUVK/XrR7v5z77NRWNRjU3N6dEIqHDw0OVy2VbV9TRiYwIhePxuF58\n8UXl83mr4fJefRjsqZAeE/B59edV3EulsBdJMMTgZY2Pj1vzOM3M9XrdPoNisHikgSWMx+MG9VN/\nI+RtNpuWp1Lwz2azNhSc7UAkDZUUsNrwlwmduB7vGT1o4fNDlNpPDOReedGeDOLBNB9eci6em/e8\nfIY80PdzcgxfP4YWyPkwMJ6J5eulnMMDYVwDqLj3rD4/93kkxwNAPDk5MVIEXsyHyAxeozQUrMGS\ninBeclC/tgD4POLP9VH+8qmHT1v4DuvMiydXBH/3u8qlVFif/Pv/S4MXGY1Gh0IhD9zwMFkofnA0\nXpdyDhbW0+LwJHi3Wq1mLVfpdNqALRTTF+URlIafh0KDZntp+CX6e/Ngll9oHjDi557ix8LBc2Oo\nPDDmQbhIJDKkeByf43hiPSAThikYvvJ/FNQzrjwq7n/vgSrSFEAw3ufh4aE6nY4ymczQvQUBNt4p\no1sIb33pz0/9ALXmHXtAz6dUodCgDxrCRbPZtBG3PrTHkFwENnkM5rnJYS+6meCN+lxofHzcSAtY\nZtqmeHgsHEo5vpyB9d7Z2TEvQy7pPaMntZOTEg5NT09b+NTv95VMJhWPx3V4eKjd3V3FYrEhDx7M\nLbkeP0rFewYPWPiSiwdtOLfPKblGhDqwVyLKNgcHBxa+E4by7Lg+Fj0gjTcUfN73kHLtvu+WZ4kB\n6fV69ux4h7TsYQzYsYCIgJlSQQPNc4OJBBoM2SUUClntnGtttVqGUXgAzNeSuW5YbDxLT5YIRja8\ni4vWt5ffV3EvjcJeJMGc1S80PGwsFhsKLVFmv+O2ny+L1wPFDBbZ/QSKIFLMecnrWBj+heGFisWi\nWq2Wbt26ZdtDQlxnIbFQMDKcnxDsopfsUwTfVeO9BOE8xyQ/9s+VXJjwHkNBbupLPj4Px4B5Isez\nFm4QIPMlECIFf+0oJwp1fHxsrYle6VFQ7oXSEeuA7/icEkXiPqTzkiDsNQwW1+CfpXTeBx2LxayG\ni+BEPDHGi69y+Gv5feXS12H9y/aeLxQ6r6my+GH2SIMCvSfbo8x+UkA0GlUulzOPJw2Pa/G5r7eo\n0BrpwJGGjUo4HLZOolarZUAOISRkdj8w3F+vX2weCSbM96UH/o14D+druxyL7/hZvtQqg8pAXduX\n0/jb554YM7yvR6UpG0Gw53t+nhXnnpiYsBGilMf8JEPeKwbHL3wUiV5coiHCee/9ZmZmbLJGsOyC\nV/dh9/T0tBYWFszweiUMgklBzMUDgf5d/L5yaTzsb7sRFibKCg+2VCqpXC5bQ3MQeGm32za/locL\nJS0ejxvJgWPjuYNEBUm2wJkySIjoyQ3dblexWEy3bt0ybjJ0Ns6BB8PrgWj2+09v9SgN2th8Kcfn\naj4aIHJot9tD4JGvk0qyId3NZlMnJydKpVKmcISyfNfXgD3IhDGkzIJi0HOMovJcW62WKRaRCrOV\nzs7OVCgUtL6+bu1sjFlFkX1tl9C63+8bWk7/MYrNcICzszMj1+zv76vb7drwg0qlYgqLEaEziHV0\nenqqSqWi7e1t1et1pVIpSQNjyvmIGIJe9Yso5yCXRmG9YN28oBj8vNvtGuhEfcz3ZF4UDnl4nekE\nyWRyqEjOw/ajSCC1X5T/4J0jkcFYGQ/G4DFQXjxJPB4fQrBpo/NhKNfkQzQ8i18QhOHe2wYXiQd0\noOr5MNyT93lOvgcY4+HDXMAWjAuK7UNijsM5QqGQ1bMpB3mKaC6XU6lU0tramj0jaqfcO/dJtANS\nzKgfng1KTRkGr9tuty1t8ABYMAoIAofdbtdAKI8M+/fj341/Bzyvi97N7yKXUmE92OFrWfwhbyGc\nIh/c29szr+NBBOh5oH6RSMSan/0L4uWBnkLI8EpJ1wfkcShvPpzEu/haHKUZtu/wuSYLg7yS7SY8\nConnQxE84ustOffuW/F4jn4GL0wf0gh2vGM2szcUvr7KgsQg+ffFc8SwwX3menlOExMT6nQ6Q8wm\nSTZLOJ/PKx6Pa3p6esgo+rIWURbvyZNUuGaQXYyGR+mDyuONuU+vwuGwjUyNx+NDwJoPsz3eEFRU\nPsvvniuF9cgwN+nrdywIwkJoZ6FQyMIdvAmKg3Lz+V6vp2w2a7kOdDoaBcidYMYQkuJtITrwPZTR\nW/JwOGwNBPyM2jFoqO8iQkGw0oRXp6enQ2M4eQaEntyfL7N4YVF5JLzT6ZixY5gY5/KLkZDdRwwY\nEB9NEMZ7wIk/lMY4ng/zfVQkSXNzc7p586Y2NzcN7fV1W0/ah/3kUXe8JFxxr9w+JfLGP1hW6/f7\n1i6JQT07O7NaP3OqyH/9M0Y8iMm/L/K6v49cGoX1N+Q9aRBp9OFiKBSyGUygpr4EEhQWbTwe1/Ly\nsiHHvNzgnCAfokmE8wAAIABJREFU9jHNAkNAbtrtnm/+ywv2NUw/ShRJJBKqVCr2MxQFIItQ24d9\ngEUXEeY9GEYJwn/Go7gs5mg0anOi2BiL+/Y76nmwSxqQ2r038aUvwEHvEVFQPoex4574DM+zWCxa\nlIOB9QAa14MB5fj8vNFomEGSBhgEqYlfW6wVD34Fc3XeAWsOA+LXJwbPv2dvDPz5Pq9cGoX14i20\nDwmlwX4u1O58bZGtG1BgFoIvgicSCdshoN/vGwpJ7oUHLBaLKpfLymQyyuVy9nPAnnA4bBP2ms2m\nTatnp3JALRYw0xVZ/Ow369lNfrPkUGgw0tT3WXpSBR7Q12o90OSfJylDu91WLpeTJBWLRasRl0ol\n234Tw0GYj+Hh2RIuovw+1+71egba+OZ2/i8NGuhpquAeAL5mZmaGIhoUg/dNp00wLahWq2o2m8bO\nAiTsdrtaWFiwz+KpmXSJsfRtmv74XPvh4aEN1cMQwNZ6FtDk30XQo/8+cmkUNngjPiQO3jzKxkKB\n5M3Dx2L6PJHQ1U+M90CTt+BjY+ebRrEYoUD6xSwNSjnJZNK6RLDmIKd4RZoEGGPCubk/r3Q+9O31\nesas8uLLP+FweKjuLA3qudKAwcMC9V6W6fWAUXCUPfJJKEwey/P0+bcfqu0HiPuUwXskSkbgD35w\nHhtv8f1gjhzMG0ljqAageBg93jnPlWfZ7/eH9u7x0QzCPefzeaVSKUOJfY7vPxsklfiI8Vlr/XeR\nS6OwXnw9UxrM3vUwO7kFcL3P7fzL4cWyqMhTWOw0cPu+WCYy+g4VQiHPQcUwhMPhIa9DGYcwOhwO\n23d8TRZl9nVmXwP1VD7uyeeA3qpzfx6Y8udjoqTfDhNFBuH2C90bSW8cfLhIiEgE40tB3W7XJlg+\nK1JirCy5PkoMbsBzCpaXPGLNOyA98UPwuLaLnpkkG4JAlxUgGWuG9xN0GEQl3EvQqwbR46ACfx65\nlAorDU+ckDSkgJJMYQkh6TrhuygKYIg3AD6MZnaQD/k8acGXN3ihXrlCoZANbCNcYsSM38yJcwWN\njmdPYSA8c0uSGRLvCTypw3s7X5tEecfGxgws8c305LYgt55XSwjK4gWtDTbtQ6T3hAt+R9MB5/QT\nGbl2cmbAKZ7VRV6Od41gBDyohAfnXfGZ4LH4zPT0tGq1mvU4cyyv2JQOQfA9UIb4tervkX97I/p5\n5NIobDD+99YqmLD7fCYcDludzndyICgdC5SX4UMzSUP5Fcf3nptcNLgJE4oB6ED4R+eORyalARcV\nj8t1829fLmEnOcJUv0C9AfLf9QwkPL8PRz3BwYMqfNd3tHA/0oCy6SMArgeOL88W9JvwPKh8HrwC\nZcbQBUFDcmgfiXjjyjv2RtSDlN6b+pQHBaNtj3tk3x3ODfjW6/XM84NMe88dRIqDa/qLkkujsBfd\nWBAd9guVumIikVAmkzGQwoepHvmTnp4TFTwXLxX0FMVkQXhUMgh2QRDn2J5s4RclCwsl5Xr8QmTx\new+PR0BRWKx+KoTPzYM5ni/HgIKjoNzrycmJarXa0G4Ifqg4UQDi8z7fjxu8F2lgELkuohOPhuNZ\nPbpOxOO9FPflPTETSMjPSX0Icalrc34iEcbcEn0QUvMZjs89+b2KLnIy/tqCZaQvQi6NwgbzJo8U\ns8BZcP1+3xqNNzc39d5772lpaUmLi4u2taAvyvswynuCoHhv57t7WCQcl397r+kRYsonvl3Pew1P\nQPD3S24ZvBaAEo4tDYr7Xtnw6NSIffkLuqVvFO92uzZpUhqUXra2trS4uGjHZYGiTFwfSDXP1INz\neHGvkDx/b6y4Fx/FeC8biUSMAYaX9XVrhGEEwQFrvd6AxME5aHogjUmlUoYo40k9M4w+3FqtZvfg\nc2Oux0eCFyH1/u/fVy4N+f+iG/E5KZ6I0JOFd3x8rGazqWazOZQn8HJ87dJ7LmB5xFtDFnbwOP46\nPfUxFAoNlXJSqZQRJfAQ/MHasiB9/owi+zIJeahfqL75nPwdsoBHVck3AZO4fvJOD6rggQll6ZaR\nNGR8PCkBL8W9wiLznp374/lgUHkfpBU+j/XK6z2Zxy/4fDDv9krjDSVhLO/BpzuenAGKzjWgwMlk\n0uijGES/Rjxu4j3qF+VZkUvjYb2waH0I40EnT2CIx+PWReFzDhYff/xCkoZLBLwYr0y+Pc2XEsjp\nfKjOovchO83Tnp+KYviX6nNJn3cR+nrOL+Uh6Rz9bTQaNi+XMFbSECoMCQMWUxAf8OE1oXIymTSg\ni1zbgziebNDvDxrPCTsl2UgYScZEC0YUhPt4do84BwHGZ4XSvGfvTXkG/p16D8cxWGdeYX3ozTHp\na/bpDf3NfCcIjnoH5CPGzyuXUmGl4Z25WbzSsMViXAkjMCFT8PkgnM9xpYFVZMKhL0kApPg8xodB\nwdCHkgrhKEYlFouZF/HnlgbcYn+/XrFh6+ANIVD0+33bZRw+LsqKh+p0OrbRFfcVrC8SIsM88veH\nMnY6HaXTaaVSqaHZS14xQqGQ9vb2zFNCy/SoLrXnID0QQ8gz8vfLOTw456MRaQBmYQipx3ocI1i7\nDQJ1QQAPFhUGodfrGa+51WpZdFOr1Ybel1+bwXyW3z33ChtERHkQvd75loTZbNYAD2pq5FE+NJQG\nPa0oNVb58PDQaHA+Z/VhlV8EzHuSZKgxxwq+kCBAgnX3DQp8zpdmUDjfNE4b2snJiRqNhqLRqC0k\nQm/ax/icf3bcH4rHn8nJSUNGmbyPwfOejRzQKwL3U6vVbLAdEQ85fSgUGpoE4p89z9c/zyAYyPO7\nqKzjjYdXMIA4X3P398y7ZJ35v+kO8u/H70hPNOZLXnyfz3uQNLiWP6/SXlqF5ea99fIsEpg9R0dH\n1qXDQwWR9NQ9wmXI8uRIECb4DsK5oCTiHfByeFHmOnkPzfd92OZzRF9qIpfE05ycnO8f40P7Vqtl\nEyvoFrp3754SiYSdFzL848ePVa1WDUHH84+Njdl9E+77tIHxNuSY3uuAvvqyD4v16OjIqHvsKcSC\n940L7XZ7qO/Xo+A8I7+oUQCQXunp2rFPg3hfvGt/PBTWG1AfOfn6NGw2PgfiH42ej9PBYBOR+DUa\nXK/P+t3nkUursN5iedQQK18sFm3z5mazaTmbJ1Ng5T3Ptdfr2SbMiURC4XBYe3t7hrr6l8VUCJSc\nhcuiAPQ5PT01JJGczFt1lJuwNAhMsAiLxaKBOKFQSBsbG6pUKhaGUejP5/NWvsCLtdtt1et15fN5\nzc/PG2MI5eh0OtrZ2bGtKk5OTkxB0+m05dx0ohCCe68GwQIDUigUtL+/r2w2q1gsNkTsb7fbWl9f\nVzweVzwet9Y5ohlpQH7xqK/3Wr6M5ruc+LcPzf07wQgGmwS4Ng+aHRwcDPGZgxUAKJxTU1PWdhgO\nn+9UTx7ry0AcxxsdH+l9XrnUCuvDFTwTP+Pf3W5X9XrdtrHHa/AiPeBE2CkNF/NZ1L4EQRua96ic\nFyZTNBpVJpN5CqiiPxOrz8/b7fZQicpHDfycucnNZlONRsNIE4AyADN83o9CCYfDNtjMA2G0EEaj\nUTWbTQOZqDkyN5h7lzS0I4KvQ/tnyLPjefkNxJhM6Pct4rO0xXkEGQXxgJB/F8E1gLf3HhVP76MI\nf61+zfA+g56SNYAx4VjcHzxriDG+kuGjBf98LsJQfl+5tArrH4B0sfXjwTebTZ2eniqZTFpoAzpK\nfkuJhM9RYvBIpVfMw8ND668N8noptezv7ysajSqVSlknj+cfS4MXFKxH+vvkHHhJlBYL7sNEaoX5\nfH6IjACtz9c08Y542LOzM8snJandbtsYFSKH8fFx85YsZBY9x5uYmFC73bYcG4/iWVS+DgtQBojk\nyz08A/+eORfvA0UiFw+CaNSHUViO7Us1PsIJVgR4T3yOc4TDYRu8Vq1WVS6XDYPwzRjBdenP6+/t\ni5BLq7BBFJYH6z1dr9ezgd0wdnzYSZibSCTs5RASsu29JAs5pQE/1U9U5FgQItrttnlJtgpBSVig\nkchg7CbK6hk8vkSE0SDEpNbna5N4Bvi5fhKDN2BBFJtNpmu1miqViu0CALun2+1aOuHPt7S0ZIQD\nQnSfE/IzX48ER2Dh+zy13+/bSJ75+Xn7uQd/gp6be8bQcs8oH+fyI1YvwiI80BQEg7wxkjTU0tfr\n9ZRKpYxvDErslf53Wc/PbQ4bDB88JM/LwmLPzs6q2WyqXq8Pha8oOoikt7g+v/MkBB8q8X2/qFA+\nQj9Q6cPDw6EaJCURbxT8fXg+LV6NHlxPJiB/isViQ43uQe90EUoNONVut1WtVnV2dqZ2u22LnhY/\nH675HJ/FDwjGpA1CRV9nxoNiCOBA+3vl+iqVir71rW8NeU1PKcUg+JIPUx09+4maNFhFMHKRhtF+\njyT79xGsDvj1J8nGBB0cHAxt4cG1+nvz6RrH8c/2i5BLqbDScKzPQ+EBhULn5Ppyuaz5+XmNjY1Z\nHvujH/1I//7v/25Fe+l8yoPntE5PT1sYg2Vm/x28KeAPLCLAC48m4kVg/xASE477UNaTH/BcLMiD\ngwPdv39fp6enFr5Tx6UcxcwlvuPzTsK0/f19NRqNoUZsunSi0agWFxcNSSecx2OHw2HbTGx2dtaQ\naqbuVyoVhUIhra6u2nNLp9NWgwWdB7SKxWJ6/PixPSeeLQYkl8uZseFZ+YFsPpduNpuSZIQFhthh\n3Hhn7CDooyxCZZrePTOs3z+nuGJ0qL9jfGOxmNEdAZ6gSkJE8ZM5vOIGvelzX4dFeJBYaw+CMFbk\n4ODAkN/x8XHt7e1JGqCMhG8sLMJiPBXe2ncAEc4FOcU+LPPhLwCH/yyhNdfNC/VdJqFQSLVaTcVi\n0bwxiy044BoQJDh7CW4sI0t7vcE8JEaEFgoFMxZnZ2c2NtQrCSQUjBt5POUjH+JyDr8bgg8r8VzB\nfBE0fGZmxpSOHN73GfuSDmsAYynJSlGUWCi5YHj9OyA6YO1Q0uE9k3sD4nmGG0j65uamNjc3FYlE\nbGay9HT+igQV9ItQVumSKuxFN+cfDNaXcO34+Fjr6+u6ceOGpqenzdrzcjxwg+fwxHXyJF6kr8F5\nkoAPdSgreP4s1t6juT7nIofyM5sODg60tbVl5AWuGeX04Xy32zVPy3cjkcjQjnzj4+M2KgfPkUql\ntL6+rlAopJmZGcuRyfEJQylbMHnCg3ie74t4FBZmGIwrzu3fHf8ulUqKx+OG6KLc3mDxrDkH+Sze\n2HcpkcceHR3ZTut8l+sG8OI4rCMfKmOQUWzKXzs7O6pWq2o0GhYlgLAH12gQKfbr9rn2sBdZLm+t\neWnd7vlGxO12W5VKRfl83l4SD9DXVvGkKDJeIxQa7Ih+EYXOEyEk2XymIMWQxeXzMUJPFpvPj0ul\nkkql0pCCYxA8UZ7zj4+PWynJl1MIFbmGbrdruTFgEB1OY2NjVmJKJBJqtVrmbTkPishWKOwf64ke\nlDWYFonCk9cHUVOAuoODAxWLRaXTaWUymaGc1ed9/NsbAP/Hg2sI0Qb3n0qlrPvG4xmcr9PpDFUW\n8MSExPv7+3rnnXeMBEJ0588bLEM9C5D6IpT20nTrBCX4QPzPeSAgucGexv39fQNBIpGIlSj4Li+J\n/BDPiKL4PUy9Z2Uhc0w/DMwvHs9lJaT1x+J4BwcH2t3dtTwS70po5juC8BqZTEYrKysWwhIBUCcl\nWvAG6OjoyIza7u6uES5isZjNV261WoYWU1/2m31RIkPwRvF43CZu8E4wIkEE1uf05NsYCfLLIADk\njWqwVOaVhD8YBcJkQmTSHtYOnjZINQXxZ67X+Pi4PvnkExWLRXsvQYPCe/ZrIGhcvqiQ+NIqrLe0\n/mcsTgCD/f19C6vq9fpT4an/Ll6BMNrnYxyvXC6rVCpZiEXIBA+ZF+5RUtrP8AJcjx8+hqfFm5ye\nnqpUKmlvb28IbQTEABjr9XpmXHK5nNbW1pROp20h49kymYwymYxNHORvlIy8ktJOKpWy+jHXND09\nrXg8biNBfXmD0JQIBA86Nzdn97+/v69arTbUKRTMG1FIPCETIT1G4RF9aXjXAv9Zbxi5tomJCaVS\nKZs7jbL6yoI0vM+QByDBNqampjQ7O6tsNqulpSWFw2GjfEKJDIa6v00xn+uQOFiHJUzhBfV654O3\nqtWq5ufn1Wq1JEl/9Vd/pddff13/+7//q/fee88sn6/Z7e3t2W5k5JcMK2PiIQR7T0inHJTJZEyR\nfXnG54NQIrvd7tBMXDxAo9HQw4cPbQc1SkbkWRAkCFtv3rypfD4/lG/iXZFIJKJ8Pm8oK+wnwljy\n13a7bYAWDQwYBkgTOzs7CofDthcqBAI8N5JIJPTGG2/oo48+UqlUsqiG9+a9IkaUa6vX66YMGCDe\nuQfV/PPBcBwdHdnmzdJgiAANESg/42Ul2exlznF6eqpms2nvb2pqylD6a9eu6c6dOyoWi8pmsyoW\ni9rf39fW1pa2t7dtDSKeQefXrl/LX4RcWoVFLsoVfI7AombTpEgkorm5OS0sLOijjz4yi4pl9Pko\n+axn30iDjg2/ARWoIp/x84owJOSQlI4o6OOhiQ56vZ55JRY4YZlXbM53/fp1zc/P2/OIRCI6ODgw\nb8ACJsxjgqCvi9IzzMJnwfkeV54VDezJZNIWPjku18y5u92u5ufnLbzEAPk8k+v29XHpnGnVaDSU\nTCYt3yYS8d6KiIpng5f3hAmUmefMeqEUx2dZL71ezwBIjLJ/p8xU5p729/fNy7bbbTu+z1mfBbJ9\nkXLpFVbSU0rjhVCUafwegBkbGzNgBJIDL4vapp9fhJX09Vkf7vjQ1RfcedGMRiXXkQYjTqQBRU46\n39/GD6wOhUI2kY9eVULra9eu2SiXfr9vM3jxjn6PnGq1amEmoTGGgs4Zckbya7wCykLeKw3Gn0Qi\nEZtCgbeORqMWus/NzenWrVt68OCBeUpqzfzxdW6UrN1uD2ED/I1i8Rw4JmnH+Pi4IeuAYYBLvGPK\ndHCo2SWCMBmwDQMJIOfLZ/1+36Ieeo0J0X1O7o0Ta9b/+7ku63jhBUtPW2lCHlhFjUbDiALS8CbF\nvCgUGcCKAW7B/JiF7D2MD/W8wuJtWLzSYIwJiw4jIZ0rAS2BKBH5mSfZ93rnewBh7aPRQYsXuThk\nBVrpsP6cBwNBdAHiy316OiOK3+/3tbi4aLvMUf7odDpWXvIsJsLltbU1HR8fq1AoWOkouLB9HZ1n\n4o2gvy6+NzU1Zd4fkJD3i4HzW6kEJRKJqNFoGMpOxMOWnKwp8v6TkxOjs56cnOjw8NAomgcHB0OV\nCu9dgzms//kXJZdeYREP+bNoCIHa7bby+bzllSz8eDyucrls1hHvAoLoh5B7ZQ2Hw0bd8wwl/u+v\nJRwOmyfx1DmOg9J4cKRer6terz9V98XTgWpHIhFdv37d/u1LOMGwLhwOK5PJmIJBDuF5tFotW5Ds\nx8p982w8Crq0tDRklDgnSkHEAxCDt11bW9PZ2fkgN++JfP7O8yO09QAhz9B/b2ZmxtBkPgOaTcTh\nyy4+YpAG7YtEYHh0jBipgW/7m5+fVyh0zqjb29vTxMTE0IbO0jC5/1l56xeprNIVUNjgDQfzGhYx\nCwu2Tzqd1tLSktbX122ndmkwZGt8fFy5XG6oNMALo1zhOaqEaIBXhK0sRJ8Xcp0sRrwtHqRer6vT\n6QxtCI039iFfPp/XwsKCKezBwYHa7fZQyCgNwBRCYRZ3EHElvPR1SElWDoPRxLXiSTkXuwN4Ioik\noUHqiURCKysrajabqtVq9lx8vsd5CVsBgnxJh+dOxMFMJRQPEgmhPp7al+/8vWWzWfX7fas/8zue\nid/GBaCPkhc0V48q846DSLE3SPz/onX8+8qVUNhgrcvnliC84XBY165d03/+53+q3+/r29/+tq5f\nv67NzU09efLEdtzmO5AnpAGZHLrcxMTE0NQHXj4LlX+zuMmT+T1Fe5QWAIjcsFgs6vj4WIlEYggI\nkwbgWD6f1507dxSJRIbQZ8AWFrTfImRra8sQWHJMclnQXt+N4tleAG3sTu/3R/WhZjQaNWICm2fB\njJqenlYsFlMul9Nrr72mH//4x8bewph4xLfb7arRaKheryubzdoMZJ6vj1p4NxgtJo2wNQqIPt/1\nYODY2JgNK8hkMur3+9re3rZ7ODw8tE3PCMH39/f1+PFjvfPOO/r44491/fp15XI56/PF8PkIyads\nPmrwue3nlUuvsIi3YITE/Bz0MpVKaXd310JFSUaomJqa0tTUlJVvyGM4pjSYgE9tFXTRP3C8D6US\nNm7C8vqZSV4II2E9SYMRNrxoX4tMp9PmzfHCtAWSU3lU1+eqGDk8PAuX7/OMKA31+4O9aCBkBPnR\neD2UvVar6fHjx0okElpYWBjqtR0fHzfSvH9n/j1yXp/j+ehEGigFoTXGS5KFtEQWoO7PQvv9eTyl\nEgUjopLOySmHh4eq1+vGSyd18pRLf60X5a/+nr4ouRIKGwwxPJghndMES6WSdeXwO0aqYGWpr0qD\nBnfCIrwfPwMl9TRGBM8FgWJ5edksra87otx+XrDvTvGAB4g2153JZIYogFyzb4srlUpqNptaWlqy\nXmByLBaQ71fFC+GhqfsCQvnRKj6U9xs/jY2NGcFkd3dXi4uLmpubs+OB2kPAgH/r32FwcfOsvHf1\nXh3DyuL3m2MTojO+B3419wFY6D0i77jbHWz+zfjYXq9n4CFeGkAPIx4Ek56Vv34ZciUU1isnC5zw\nkwdbrVa1urqqXq9nYV0sFtPCwoLxZdlakLAMAIJ8jRpjKBQyhfXEBMI/aXiSvZ+CSEnA1xs9K4YF\n4z0BxyGk872nhKx4Wco7oMX1el1jY2OWB0rn4aO/PgwW9+PLYCDoAFKg41w3n/cRCc0Vc3Nzdo14\nPhhhnU5HsVhMe3t7FiX4fN+DTUEvhEHyOW0wagFnoCbMjCsiCryrb04gXYEkwv1wDEk2Sse/C78G\nEJ+Lc42+y0j6chT3yigsf19kxfBeKM7e3p4pzuLioq5fv6733nvP+ktRUF8C8WE2xydE9WE4BXRq\nt977cC0YFMAtjufBKfIs7geU8/j42EpPXCf1V0pAhO3RaFS5XE5nZ2emuOS7nmXE/yl/TE1N6fr1\n64bkzszMKJlMDikEC5AIA+Uh1bhx44ak87pvMMfHoBANgNKjMD7XR6GCoJQ/Z/C6+Izf9BlPKg3A\nJD/TmHIW68az5kiX+H86nbaNsXgHlM+C1+MNy0Xr9huHEkvDSuBBC37W7XbVarVUr9c1MzOjra0t\n3b9/XwcHB1paWtL3v/99vffee5Jkmy+T++7v76vf71tvJcwXnxMS5hEusRDGxsaUy+WGQCZepi8T\n+ZosJZB4PD60v4s/N7kljQwHBwdKp9M6PDy0+i0zmvBofne2RqMxxIKC0A7AdffuXRUKBSP5z87O\namxszAaPx+NxA1e4doQJDLyXpaUlVavVoZZGCA3Ly8uqVqva2tqyZ8I184wxTB51Rvx5ebbcF6Fp\nt9tVPB63mnGr1TKjhqIxBBxkf39/X9Vq1Zourl27ptnZWXU6HeVyOd2+fVvNZtO2XKG09P777w+h\n5whG3YOSXPMXLVdCYX047KF0aRBunp2daX9/X9PT0yqXyyoWi5qbmzOvS+EbZpEf1gXNj9wlFArZ\nmBNf8J+cnBwCmxKJxNB2hXyO0JjuGQ/1E9r6ucP+jyRTanJCwne/IPBshMLBzhofeksD78d84FQq\nZcweT5eETAByHESMvef2kxoh2KNkx8fHSiaTxi4if+cZBAkwQaApWCYhLOa7wQiL72WzWYsMiLJo\n0sA7MzqH589aGB8f19zcnEKhkNE7IZRAvfTnDoa/FynoF+1lr4TCSk+jbj73IXyr1WpaXV21QWYg\nxJJspMn09LQBIdIAbazX65IGVpFSAUrui//MWWIzYl/z5IX6nlLqxZDnCXP5PSGcJCsRjY+P23Yd\nhF1+EVMbJP/CkwDc+PlWvoQD22t+ft6Ml59owTMmhyZv9m2E5Pl8B970ycmJdcgQsjOxAcMpDTZ2\n9gwnjh9c3D509kQFzxnmugCZeFc+REc56RLyQFssFrN8fmVlRf3++cC4QqGgvb09ra6u6vDwcKiG\n69eiN7xfJuAkXRGFDeYw0iBM5kWySKampixXBVEGQcUKe5QPxWo0Gup0OtaRg7L6zpRIJKJUKqV0\nOm3KCeuG0M4joh6xRnGCfa/ei/sFSNjH/Cc6bfzxAIwAflASP6MIXjW7F/jyi88VMSjpdNpQWI7B\ndXHdflSLJMvn/ZA3QCVSCOqw5J48D3LNiwwyz0IaHhPr/4Dkcj8+quCYPDe8KzOiCO8xdPF43N4t\neAXrg6F2vtTm35vHMbx8I3NYH4L48NIrgiSrLdIbWy6XNTk5qXQ6bQ+Zl4GnODo6UiwWs5peNptV\nOp0eGomCp5mZmVEqlTKvDMxPOMiwL/IeABYPiEiyxnMPpvmQ0P+MBcnPfHjHNdLIEAqdt8FRHvKl\nGx8agobj4ZFkMqlMJmNpAuG8n3kkDXcU+fJWp9OxfNunHixo3w2DIQi2MPIeuV9PoAgqok9BOK4/\njidQSDJMgOiE5xWJRGwaB0aU9ZZMJiXJUHmf8nD+ryIURq6Ewkoa8gj834eL5B3kdLVaTe1228K9\n1dVVFQoFq6kRdmJB8cCpVMpmIsGPJadkw2a4uBDwyRnJ7+ACYxwAoAj50um0Njc3h8I76rWcF2PB\nMchlfR2XuUKQKMix8GZINBo1QxZsKyQS8HsEcSwWHc8Vj+SNDe+FrqF6vW7bgHJfKKr3or59MGiI\nUVIAO7ZMkQY5riQLzYOMIn88nik5erPZtOZ76Jj9/nn/8dzcnAFg9XpdzWbT1srBwcEQf9k7DcSn\nLN9ohUVR/QPyZQBe2OHhoe7fv2+9o76o/vrrr2t9fV0LCwva3Ny08LBWq9l2lf1+X9ls1o5P2eDs\n7Mz2Y/Ww1VdKAAAgAElEQVSgDAOuUVRQUkIwFMSHgycnJ7px44YKhYLK5fJQMwELo9FoWJkHw+L7\ndqPRqHl6/i/JQnvffzs1NaVQKGRc3JmZGTWbTQtf0+m02u225Zr1el37+/s2Uxkwpl6vq1qtqlAo\n2O/YMRDBm+3u7hrtj5DR00kJXScmJpTNZg2hv4jgUKvVVC6X7Tr8O/dDw/HWHrfA2EAzrVQq2t7e\nNgN2cHCgTCajyclJvfTSS3rppZcUCoXUbDZVqVR0eHioVCqlo6Mj7ezsSBomceAsPC31i2Y2BeVK\nKKwXb9E8oMJigCrYbDb1/vvvK5vN2gOFGOCb2QEi4vG42u22eZLT01Pz0EH+rs8HCYuCXFZKGD6n\nxYvG43HNzs6qWq0O1XgpW7TbbWs692ErHod5wZyT0JR/w/ghTOf6yIdTqZR6vfOB4ZSoPIjU7/cN\nB+h2u8YC4pl7+qb3+u12WycnJ5qenra0gBnA0tM7EnItpAEYLw/mcC7Et+B52ihGM+jxiGpOTk5U\nq9VM2YkK4vG4EomEVldXzRATMuP9CfWD+Ilfj15R/TV80XJpZzpdJD4U8Tmph/3D4bABHQwXJ09d\nWVlRNBpVIpGwl+37Snu9802OeKmQK5iEwKL2i9ATK/wC8V0xeE+ue2JiQgsLC7bNiDS8lSLDs8lT\nKTFxrImJCc3NzSmbzWp2dtaI6/F4XNls1oAxclyUFkNCXnlwcGAzpXzu5nNTnjnKlc/nLU+HVcae\ntAxeSyaTVk9mpztpuOOJ+6DvlEjFv1uMkCSrsZIGeIXFiDBIHHzh8PDQjkuIy7GYQBFMi8Lh82aO\ncrmsXq9nvbgMKPfkia8KGfZypRQW8YivX/AsIGlQywRhnZiY0NramiKRiHK53NACrdVqks4tKmEv\n3oUd7EBHfZ4Ms4hyDWFacAF6L4k3yeVy1vLlhe+Wy2U7h8+Vse4zMzNDW1yycKampmzAGltt+Hwz\nWPLwm1p5NNjTLbnGsbExMwYYilAoZOWnRCKhXC5nUy64D6KTIOGAyY2cw4fMYAA01UNYYGA6UY6v\nyZO/+6iI41arVUPRefeAdY1Gw47BcUul0hCbjaaRi5SUnwdrx1+GXLmQWHqaGiYNvAKgQjQatZ3B\npXOrOjs7q/n5eQMbms2m+v2+bW8xOTmparVq+8XSqwmKKA1qpn6/UO/ZWazeS/jPQFmcmZnR4uKi\nyuWyKbcPXUulkvFjx8bGjEbpt5P0YBfhWigUskI/SK00IDkgeFtqkR61BfWWBqEmAA5ECc/JBm0N\n7r6+vr5u3S4e2SW/pi7O9XiqpjQwzOSqoVDIyjKAgJKGZjXxjnzefHx8rHq9bvVqSmAYsHw+r0wm\nYzk8EdTc3JzOzs6sYSQYdfh/Bw3OlyVXRmGDFsxbO2kQLh8dHanT6Sgej+v4+Fgff/yxbty4oVu3\nbimZTCqXy6lcLtu+MIRCjUZD2Wx2aFMqEGH2Vun3+9Y25muV5MeJRGJooBvACuEswmJfWlpSoVBQ\noVAYKm3g6UulkhYXF+13hGWeZ+wBOcJEQvl+v2+MJq9gGAZIIf4YntTAogTRpa6LJwbUAk1nKgO9\np48fPzYiiK+V9nrnY2XS6bRCodBQ44LP+Xm3eGFyWaIg3hF5uEeQqRlTjjk+Ph5iglGCW1xc1L17\n96y3F6MwPj5uA+z29vaGDKIvI/J8fKg8UlgN9x2yuIIhCi+fVrtkMqlCoaB//Md/1N/8zd8oFDqn\nHDabTd24cUNbW1v2s83NTatDVioVAxni8bgxk2glozuGkI3ma8gOoJLtdts8D6GpB47i8bi+//3v\na2pqSg8fPnwKyHjrrbf0+uuvK5FIaHp62u5tf39fmUzGQCZysH6/byWn8fFxmweFwWHRM/wNhfGe\nmKkRpVJJc3NzFlZLA/qjzw1BwhmsfnZ2psePH+vRo0dDI1h8FDA2Nqbbt28rn89bCEquShmO43Pt\nsVjMpnTAdd7e3ra82Ye6GJVoNGojdXw/NOvn1q1bmp2d1crKijUskCcz7nZnZ8fGtxJSc0+8K0+e\nGDGdPkV87uMt697enu2zw47joJj5fF75fF77+/uanZ1VvV5XOp1Ws9lUq9VSKpWyXAvgBmqb72ih\n3MKUhVAoZBP0fV9ov9+3GicLn2PQa3njxg3t7++rWCyaAYpGz7fWePLkiX7wgx/Y+FAiBwj1iUTC\ndnwnXKUWzLn8REFCcxZ4UACY6vW6zSgmn2dIAGE9ZRw89dHRkTY2NrS+vj7U6eLBrEgkokQiodnZ\nWasBe8+GscOATE5O2uwtrg8FxBDi3bgGDBJGirJVJpOxFISGAd4jkQXtgDw/RvL4UpEHOj1i/FXI\nlVLYYFgcpISB4jEom8U1OztrWzBev37d9kvJ5/NqNptaXV3V48eP1Wq1lM/njbVDK9r09LQhioSG\nUNpAetvttmq1mp2HRgTyIcIxFAbARJLm5+fV6XRUKpWG9oAZHz/fic97UsLbYrFovGDKKJRfCA0p\n68AL9kO0AczwOJ7EEImc75fTaDRs0yrQWFoGff8rpajHjx9rfX3dRvZcxEgLh8PK5/NKp9P27nhv\njHzxFQA/4RGcgDzYl5swQH78DSg7hjEWi+nRo0cKhUJm6BYWFmzDq16vp93dXe3u7mpqakqdTsdQ\ndGngIIJMLO7tq0CMr5TCSsNDrvxD8v8mLJ2bm9PU1JR1ZySTSU1OTuratWt6++23NT8/rwcPHljB\nnaFhkgwQoTWNzhusMUoSiZzP64WLTFjebDaH5i2dnp4OKZIHSZhawf43HvA5OztTq9VSLBZTu93W\nxMSEksmkGQpC7lgsZuErIBcIKx6RnI8QjukRPD/veaPRqG0wBpmEmuTp6anNc45Gz2c8FQoFbWxs\nGImesNPn7tK5ci4sLGhsbMx6a3u9no2rpa4L6IfnxZMTrVBPJxpC6f2EDz+K5/j4WOVy2cBFONNr\na2va2trSP/zDP6jX62lubk6NRkO5XE7NZtNAS6IASkmeDvlVlneunML6h+LDE/7f7w8GPrMwnzx5\nYptjhcPnDcqEkaenpyoWi4YCg0AuLi7afjSEiSiB71mFAUX5h9ISi5HrQRmof3LtlDvi8bhyudzQ\nOE8W78bGhl544QW7V0pHFP7ZYY6FFByMTohOCOtzLmngkX247KdLEN56bi7XPDk5qb29Pe3u7hrZ\nI/i+PIAVDp/zcylRAfpBtwx6ed9iCPKNgW21WmZ4vCEi1KYUxwQMSQa2pdNpSeeG+b333tO77747\n1Ik1PT1tewQFhWsMlr2+CrlSChusffmHxb8BBwqFgnK5nG3WVCgUND8/byHyn/7pn+qnP/2per2e\ntre3lUgklEqltLOzo1u3bhny2+v1lEwmDbSgrEPppdPp2EZQDDKPRqM2oBz6XSwWG2reJp+FVBCN\nRvUnf/InevjwoT744APVajVTkA8++EBnZ2e6d++eWXjKHX5ncUgLJycntrMAAvUPBaLUgafEmxM2\nkw+COmMQ6FihPgkY5mc3XUSMB4F+4YUXLAqhLAaaDroMLZGxqsVi0ZSIqRmEuKDmlGp8fzTbWgZL\nWzdv3lQ8Hrd05Q//8A/1T//0T/rlL3+p+/fv6+HDh8rn83ry5MkQyu1BTtbBl01FDMqVUtigBOte\nLMZIJGKLNp/P28bEtN9FIhEtLCxocXFRqVRK9Xrdckdp0EvqwSHvKU5OTtRoNGz3Nab2Uf+dnZ1V\nOp3W2NiYIbU+ZMJC+zqtdF6+uHXrlpUi/ATEarVqoTEcV3JrQKqZmRkLWflDfupb/aRB54oPK0Hg\nuRaeGWAXg84gJrBYKe34Wq9PXUhfYrGY5ufnLdT16UywnZFNrBgBQziP0RkbGxvanJpz+M4pQm2u\nDcMDNRPDOTExoXw+r8nJST18+NAwkGq1aoaH54jS8g4vGhvzZcqVZDpJw03DXjytEBCDF1utVq0h\nAOBkYWHBXjR0QMawsCjxNL7GSQfJ2dmZKpWK8YJnZ2eNbue9gEc+fZnDz2/CoFy/fl0LCwumyJOT\nk2q1Wtra2rLFSlcRCs9AMq4VhYSSR2hL25xnHfnmcowKIBYKSOgJwwpU1X/Wi89dUUhojSxy31sL\nQQQuuOdlg9j6ujO9y6QDKDwKTbmOzhyUGu5wOBzWrVu3JJ0z3e7fv6+NjQ3t7e0pm83ajuuShpTS\nYydBosdXIVfaw0qD3dw8zI5i8NBzuZw++eQTC1GB+x88eKB8Pq8HDx6YV4XZAj2RVjmOycJnoR0e\nHqpWq5myJpNJu4ZUKmVWOLiAfV2SBUa+lUgkdPv2bdtOEyBtZ2dHCwsLmp2dtUVMKQcQB+NDiA6j\nB2IA+SoTKrgOTwjwxAquj3vwzQY8c8LzYDjsSzrJZNJwAR+qExFJMg9LusD7JOSlHg66jVGUZIAf\nFEuegTQYmRMKhbSwsGC16W9/+9sW6RAxEamwPxDvJtig7oHPr1KutMIGKWKEdSySg4MDVatV5XI5\nvfPOO5qYmNDi4uIQt3VmZkazs7M2XJvvevobn4U5w6KkhMTg7FQqJel8obF7tzQo5ZC7eQDGLyYW\nxtjY+Y515MdY+na7rUKhYGBPv9838MyT3dkmA7AGb0WJikVN8wNK5xef96zcPz8PRjbk+75G7UNi\nIplMJmPXw2cA9QhjUU5+5w3F8fGxgUBEE0wYwVChzDQl+FowmzQfHR3p2rVrtt8uzwegMhqNqlqt\nDjXE876CNETPtPsq5MqGxJ7H6aH94O9qtZqFrnhNkNQf/vCHphw+Xw2FQtaTynGx2ISbLJ6joyPN\nz88rn8/bQmQHcBY3xyXM9kgm1wsCSvcI84Xm5uaGSlbb29sqFApKpVJWpvJTL/wu6OSfNAQkk0mj\nEMIY8sQT+Lfec/gF6Us1KK33sCC4frwMewSxuRb379FgPClGkEiA3xGOY+BQ2k6nYzVfP+oUwIxn\nQhSWTqdtOEE2m7V2Q98rS0NCo9F4yot6woRvsv8q5cp62GB5RxomU/BAy+WyNjY2tLS0pM3NTb3/\n/vuq1Wqam5vTq6++qq2tLav7/frXvzYF3dzctAVAu5hXVkLOsbExzc7Oqt/vW3sbOSzeEcSWhTc/\nP29eDouOBwMgaTQampmZ0Q9+8AMVCgXt7+9bq93W1pZee+011et1K9dwjK2tLctpY7GYgV54IZ4X\nykx464kcLHBKKr7jCSPmSzzsSg99kJw9m83q5s2bun79ujVQ8F28qp8kQegfjUZt64xIJKK9vb2h\nJgD21YG95TnElOlKpZIZlNPTU01PT+u73/2uJGlpaUmRSMR2VX/nnXf0i1/8QvV6XS+88IIk2Qha\nH8ERjXhw7qvOYa+sh/XiPSqWmcV5dnY+ZBv+6dtvv60HDx7YwgGRnZ+ft3Y3Xsbu7q729vasHsdi\nPTw8tL5ZpiWQ75IXSlKxWFSlUlGr1bLwlvYvX37wtVeMDl53ZmbGivwsnlQqNUSAl85z6UqlYgq0\nsLCgfD5v5RAAHTiy5I3eU+JN+v2+Maj88HIftvv7ODs7M+KG399mYWHBNqMOLnDvnTz+4BvWAQY9\nuR9Emt5XacCU6vf76nQ6ajabFs5yTwsLC5qamlKlUtHGxobS6bSWl5eNEloqlZRMJpXNZtVoNJ4K\nh/2z8hWEr1qurIf14sM3FrCXRqNh/NVisajbt29rbm7OBo4dHR0pkUjo1q1bajabFradnZ3ZSBHq\np93u+ThVJtvHYjFJMkCLcJAdvuHGgkz7EAsPhpdFiQjx8DrXr19Xr9dTqVTSxMSE7aLmyRDNZlON\nRkOZTMZqyv54KCmAGPeHgQpSCdkQCyODx6H7CLSZkJIQGwEvYEh6sF7u82WomEwm5HpBz4kOqInC\n6GI2M51UpEBs1SLJSkgrKyvq9XpaXl5WLBbTtWvXtLS0pA8++MCil3w+r263q0KhYNfG+woS/oOo\n+lclz4XCSsNeNmj9QBC9B/z44481NjamlZUVa7LO5/PK5XKmpNDzSqWS5Vx4S7pTAESgKobDYdvz\nxiumNJg75MNPPArXTy2Y/x8fH2tlZcVApXQ6rVQqZY3XTFhgkNrc3NyQsgPk4Ak924nIwANKhJcQ\nRWAIEaZnMhkzRmdnZ0qlUqaAyWTScvC5uTkbcOa960WlOK6h0+mYsjGelVlTlNhop4vH4xbBUKo7\nOzszcj+1WyIDkPU/+7M/Uyh03nT/6NEjbW1tWbvl1NSUtra2tLGxMaSgRG7SAOH/uuTKKywvH8vN\ng/XMFEo1KG25XLZSzo0bN2w7iUgkorW1NVUqlSFApVar2cTA3d1dTU5OanFx0fi8UBVhAzGdD4XD\ng3urj9IwxQJgjLoiSg1vGcYWOWmj0bC9VSFrzM7OGpCEN4Qs7yfd87z8PVLKIULwBPyZmRnjY0ci\nEWsd5PnzjBOJhDKZjFqtlubn5+1+Wfw+DPdAE+8JKqKvW/f7fWUyGc3MzAzVb9m9oNFoqFgsGpBI\nJICB9UDR4uKibt26pfHxcf385z/X/fv39dFHH6lcLuv27ds6OTnRxsaGDZX3ayzIW/+65EorbDAf\nuii/IAys1WrKZrO2xwqLa2JiQnfu3NHY2JiePHmiXC6nXC6nnZ0dQz6Pj4+1vb2tfD5voTF5ISCJ\nX4R+XjEhNhsqs3Mc3g6iAyR88lcET8w+rISq0oBskEwmNT8/r1QqZYsaLwS3GQXzI2XwzCgtzxSg\nxiPXKGm9XjcloDuGRTw1NaWVlRW1Wi3lcrmn3pPn4Abfo1cGpnx4nvX4+LjttEAawTNlnI402FTM\n13NnZ2fVbreVy+WsZAQppFAoKJlMKpVKqVKpaGtra4h8wzvw1/5Vh8FerrTC+gfnoXcEZe33+9ra\n2tL8/LxefPFFK4usr69reXlZy8vLmpmZsfa273znO9rZ2VGn07HOmMPDQ+3u7urmzZtP1Rt9uaPd\nblu4SM2VsA5PhNdFuSCngwKHQiEbas3IGJBYSAd0mvjJhSxG6se04QHE+OmF5M8wl8jFqZOyWRdN\n6HQLwevlObMRFyH3/Py8rl27NoR8B9+FNADXJNk2GNwbrLLj42PF43GVSiWl02klk0njZB8dHVn4\nDLJfLBbtedGLnM/n9d3vflcvvPCC7ty5Y5TNVCqlhw8fKpPJ6N69e3r8+LF+9rOfWS02SOXk2Xyd\n3lV6TlBiBCstPd0lwlzdZDJp7Kaf/OQnBqpEo1G98cYbxgEm/yI/oj5HOQRkF0vsa6uEs3yGvBSU\nGe8qDVrLfMiIQnNP3vt5VpBHURk76pFeOliC/Fc8JIuaHDq4ZQbelf/Dz+UaqYP6PJVSjCdPeMCJ\n+5Bkeeve3p6azaZFJdwn3yVE5rkC0Pl7YvdCf95wOGzG486dO2YQnzx5orffflvvvvuuksmkKpWK\nPvzwQ6vv+vq5V1Ce/dcpV9rDShfP0PGW0S+OQqGgfD6vbDarZrOparWq7e1tXb9+3aYBNhoNvfXW\nW9ZUjiWH/sdkezyAH6TNogqymCj24/3ITQFvGCUjDaY/SjIQK9io3+/3bcc4FqY0WFw0BLBXjmcN\n+XCYsLHZbFqojdEhp8XAYLR4nhgDGvalAajmFUbSUHjp0xYa/WlYAAnmen164Oufp6en5gkRtrxk\na42TkxPNz89rYWFBExMTSqfTNvXj3Xff1ZMnT1StVpXJZPTkyRNtbGwMPWOUFoPhO3VGIfHnkCCB\nAg/jLTQLBxLF9PS0FhYW1Ol0tLOzo+vXrxsiurq6qmKxqEajYXuIdjqdoRJGvV5XLpcb2gQLT0NY\nCp+VBQ9gQ3kFCmGlUrGuHklDNU/fDO4Ry16vN7Q1JnRGzk15idrr1NSUlYBQHuYwPXz4UPV63XJR\nvJffA5aQHwofOR6GiGcjDRPkEQxVkIlGdIPnxKvzeZSGaR++bk6bIQ3+nU7HnisGZmVlxWZAU1Om\n0+rg4EDtdltTU1Mql8tmKH3zQJDJ5MtfX5dceYUNikf0PLLHot/c3FQ8HrfRloVCQZVKRYlEwhb+\n2tqaqtWq5ufnh0I1SYbQUnfFa5GDsZgpHVDL9LRDSiVsI4G3DIVCpnQsaNraguUEPKj3ggBiNNcj\nLFaUm+gAL0r3EcYnEolYSiANemmDvGJ+x/X6nN5LkM4XCg12BOD5+c/6RnVJxp0+OTmxLimihEaj\nYdto4PF7vZ6uXbtmc5Pz+bzN6mJHukqlYh1GIOg+5PU57EVkj69LnjuF9fVNgA5v8RuNhn71q19p\neXlZd+/e1fvvv6+trS298sor+uEPf6ipqSn99Kc/1ccff6y1tTWNj4/r/v375mV7vZ5N02u1Wrp+\n/boymYwikcjQzu6lUknxeNz2wME7EcbSMMAia7fbajQa1iXjw1wWLoAQHlIaHrLG/aMQeBI8ICNW\nfHhJ8wATGFBkFNNzcZnawQLOZrPKZDI22dCT9YM8YcgVILzs7wNJwisMhgPOMw3yUEPpy33y5Ikp\nKyDb4eGhrl27pm9961uanZ3VjRs3dO3aNYXDYf385z/Xz372M21ubmphYUGJREL//M//bPd8Ub7t\nQ2G/vr4ueW4V1ov3tNJ5frO1taVUKqWlpSVtbW3p/fff16uvvqpbt25ZjQ8GzdbWllHx2AhKOue0\nrq+vW7kBRlCr1VKz2dTdu3eHekrxHJAtyE394mbRzszMWFgaJJ17xhL3jKdDwX2+B/cWNhJlDxQZ\nQM2PLqV8wmjPXq9nUyXgJqfTaWsw9/OXQYg9gIQBAEkP8oo9u4nrQ0n8DoE01R8eHpqyYoQAjfL5\nvCKRiJaXl7W0tKRkMqmNjQ09fvxYDx48sE4qBq/58Nfnrr5E+HUrKvLcKSziUWL+DxgknXuSJ0+e\n6NatWwa8PH78WLFYTC+//LJWV1etNruysqJ2u639/X3rOeXFNptNm4MciURscBmLOhgm+pyMPFUa\nbAnJcSkF+etnQUHQYISN79fl+xMTE5qZmbHIYn9/38J2wk3ug5oy5AN2DqDMQvRQq9U0PT2tbDY7\nNE2RfJprArFuNpuWR/sJ/0zp4HnwTGj9wyCyLQqeHvT84OBApVLJIg6MQLfb1dLSkrU6Mjg+lUrp\nP/7jP/To0SP7Wbvd1sOHD42cEfSolyH8vUieW4WVhgkVXll5KY1GQ7VaTclkUp1OR7/5zW8UjUat\nk2d/f996YGu1mnlZFjYsp0KhoOnpacXjcRsQBmWPIj1eT5K1gkE2AIWEb+w7UxD/Ge7D/9tzhPkc\n8558RIAykT/Pzs7aOciLCV053snJiSqVijqdjuWG3A8KQ0iL8Ts6OjJEHcUiegjyvYkaiD4k2RRF\nQmCue39/X9vb2zbcG7CN97K2tqaFhQVT1GQyqXA4bOHz4uKier2enjx5omKx+FTK5J+FrxlfFuV9\nbhXWF7y9+DAyEoloY2NDN2/eVCaTUalU0vvvv6/XXntNL730kqLRqF599VUr7RweHhqiiDeAUri3\nt2eDyJlZTDgYi8WGcky8axC8ueh3vtaIQBzwPaDSoE7IIoRTzOeondKQAELLXCMMEbxcwtVKpaJS\nqaTJyUnLWUGU4flyHdVq1SIRFAEPST6LwkJQIApBYVFMkFuAv6OjI21tbRmqTc5MbbzX6ymfzxtY\nt7S0pFAopL29Pe3t7SmXy2l8fFzr6+va2Nh4agYVEizhXBZllZ5jhfXW0ddifVdKv3/eEB6LxbS6\nuqpsNqvNzU3jnS4tLenmzZtGtD84OFClUlGv17MOD1/fhLMsySZV8HO/kxqN04BRvtTia5jkuF5p\nCQ0BSnyd0tdrSQdQAnJbenI9CYKyimcjgVYfHBxod3dXR0dHWlpaUiwWM8/LgHKum9yS68MT40F5\nL9wr5wTdxlvSfN/r9ayD5+DgQOVyeWinOUnGxDo5OdGdO3dMoe/du6fZ2Vltb2/rk08+sf7cYrGo\njz/+2AA0D955wOmygU1I6Ku6kFAo9LXdsX/BvnDvUeRUKqUXX3xRyWRSe3t7mp2d1ZtvvqlXXnlF\nsVhMR0dHevfdd/X3f//32t7eHprUhxFg8YC+vvHGG0N7s6Ks8IkBlqiVeo+EgkP+R+nZNDnIZ2bR\n41G9gvgQlLolSvDo0SMlEgnl83lrUo/FYkZEePTokfb397W2tqZ8Pm8oNmWifr9v25kQNlerVdsa\nw4+lQdErlYpNqvRsLd4HBpGd5D7++GMj/KPwPMPj42Pl83ndvn3b6rF/+Zd/qR/84Ac6PDzUgwcP\n9OMf/1i5XE4ffvihNjc3jcTCu+c5eRZYsDT1VUu/378wRHxuPayXi3IRT+QeHx9Xq9XSgwcPdOPG\nDS0sLKhQKOiDDz4YWszsghcOh1UsFq2BPJFIGEsHj0j46WuN3qIDHuGZKIcQ7gL40IAuyXI5XwLB\ni0saCj29kfIhrq81YlwIDX3ozZiVdrutmZkZ21cIUgbCwud6g2EwYa2v0/qmAf746Icy19HRkSqV\nisLhsAFshO+Mrl1ZWdHKyorGx8d1+/ZtLSws6Hvf+55qtZreffddffTRRxobG9POzo42NjZs7Kk/\n32Xxnp9FvhEKG5SgVaUQz/RDcr6HDx8aeDQ/P6+5uTndunVLx8fHmpqa0u7urrGhCJ8Ajnq9nqrV\nqpHVPQOK5nIWDGEg+Ru1U1g/6XTaPueHkqEAfkyqR2BRUEJlDIM/tiQLkaVBKE3uyD6pRAp+nGkw\nBPcoM/VmroUGBuZCe6QahYXJxK7tpVJJ1WrV6rQ+MgqFQrp9+7ZisZgmJiZ0+/Zt3b17V/F4XAcH\nB3rw4IF+9atf6ejoSAsLC/rggw+GhoKzDrwx9/d/WeUbqbDS8MJEUNpHjx7p9ddfV7lc1uPHjy1X\nnZ+f140bN9Rutw0Vnp6e1s7OjimOD62KxaJNgGAxnp2dWX6LkqNE4fD51IVOpzOUs0K5I1z0+Z+v\nc0oyD+zvyTOciADw7N3uYPe5brdr41hoDRwfHzcDQ/7rS0x46YmJCYsmEomEAU8QRlDIqakpy9v5\nQ0yNwsEAABRISURBVJ4NMnx2dqZqtapyuTw01Z9c/uTkRDMzM7aRVS6X071797S8vKxKpaKHDx/q\n17/+tU5PTzU/P6+joyPVarWh9+9BvCAX+1mA5WWQb6TCBgviPkzs9Xo2tWBhYUGVSkXvvvuudfTM\nzc3p7t27kgYzgU9PT23sJtP2+H+xWFS/31c2m7VSEgPCpMHUfPI2Bn354dg+hJMGmztBGEAJ2YQY\n44EngcTgp00Q7tLkzvX4+nC3ez5bmb5TjAyAEOfhb/p88cKNRkOxWMwiDh8iA4J5sK3dbuv4+Nj2\n6iF05rp53ouLi8rlcjaG5oUXXtDCwoLOzs6MHNFoNIxJ9tFHHz2FvH+aFx152EsiF70ID0Kx+Lvd\nrp48eaKbN29qenpatVpNv/nNb9RoNPTXf/3XxiGem5vT3t6ebcbMlhwcl3YulDaRSGhmZkZ7e3sq\nlUo6Pj5WKpWyBc5mUuSsvjxE2CvJGt8pwUgDCiNki1AoZKUQACtP1odADyjk29WowUoypJf7AQmn\nMSEejxtBA3og4BtTHbkfPDrcaq4H7wkhAlIE3n56etoAqrW1Ndvl75VXXtELL7yg+fl5myX8q1/9\nymZRj42N6cMPP7TZT7zroCe9LJ04n0W+ESjxs4QFyjMAySUfm5iY0LVr17S6uqrx8XGVSiW9+uqr\nWl1d1csvv6zl5WVtbW3p7/7u72x/VIAoPODExMTQ/Nzx8XHbhoNwmJrjD37wA6MywvH1ZZGDgwMb\nm8p2mplMZmifVxYe5R/PdKK7yNdtNzY2tLKyYptSs3cPu9BD42OmcalUUqvVsnLYtWvXtLCwMETa\nOD09tVy0XC4PhdVjY2M2Y+vk5MT2EGq329rY2DCjRBRwdnamF1980WrZqVTKFPlHP/qRjo+P9ejR\nIz1+/FhvvfWWvTf2qqXRgmPy3i+7Yn6jUeJniefgemSVvPHw8FCFQsG6P1KplP77v/9bd+7csTCW\neUvRaFR3795VoVDQ9va2lVdQJklGTi+VSkaYh5CPBwx6Aka7kMtxfdKAmdTtdm0UDTuwY3QAog4P\nD21PHGqQHMsT9kGyuTe8NmQJvLdHu0F+uU6OyxzjarVqLXvk2DwLpj2Wy2WjcqLIGB+2GYlGo1pZ\nWdELL7ygTCajo6Mj7ezs6PHjx3r77bfNwDx48ECFQsG4zLxrjwpfBaW9SL7RCot4r8rLRHGOj49t\nzs/i4qLS6bQKhYLeeecdtVotra2t6caNG4pGo2q1WgZm7ezs2OZR7Djgw04IAQxOo9GAHPPg4MCY\nSLTlUVPtdrtDm0AR3gLG4IkJ74+Pj+3zkBuYTuEbEDAE8Hnx9Gy65Xedg6wvDWiT3rNzLxgdrkc6\nLxl1Oh2Vy2XbEoMha34TspOTE9tcTDrvDlpeXtbNmzc1OTlpM6bff/99nZ6eam5uTh9++KFKpZJN\n7OD9XqSkV1FpRwr7f+JrgT5MlmQbUfV6Pb322msqlUq6f/++ERDu3btnuRplhunpaT158sRqkt4o\nkMP1+33jK7MXKp4EBUUJCdfZoZ3zcO2EuaVSSXt7ezaYjPGegFEoG6UpFNEj0YTAkqw7iQiA58G9\nkA/jwVA0vPvk5KSVxuhlZXYw3nZ6elozMzPa3t4eojDOzc1pbW1NMzMzun37tu2Hc3Jyos3NTf3r\nv/6risWiUSZPT0+1u7trBsM3TgTf6afhGZdZvvEK60GnT/v5ycmJzcFlAHmhUFC73dbLL79s23Sk\nUik9efJEv/nNbySd7x4AFdEP7qb2GQ6HbfqEJM3NzSmZTFrIzQgWwkvGycD9Bc3l9x9++KF5QgbI\nYUjgEBP6+i4Y0gAmFtLaR+eOr+GyjSO1ZRTEKz3Xhuzt7VlbHYoKMR+E3JdaYrGYlpaWlM1mtbKy\nojfeeEOzs7NmLB88eKBisWgRysnJiR4/fmyRgw+FPysn+LIrq/QNB50ukmdR1Ty/N5fLaXV1ValU\nynpN19bW9L3vfU/Ly8uSzuuYP/nJTwxUqdfr2tzctFos54Ld5BFRci96TcfGzveDpWyCcQi2hnU6\nHX3yySe6c+eOpEGTAHOXJZkh4Nx37961pnwGloVCgzGghOWEqoVCQevr64ZwLywsKJ1ODxkPpmr8\n8pe/HEK44R9DDOHe6Y2lH3Z1dVWZTEZ3797Vq6++avOHub9f/vKXikajSiQSOjk50e7urnZ3d83T\newX1NdZgOe8yywh0+gzivap/sT6v7Xa7VpK5du2aVlZW1Gw29cEHH6jdbutb3/qWATB/8Ad/oEaj\noY2NDQt1t7a2rFZL6Mi5UqmUWq3WEEEA71cul417TN0yKN1uV4lEwqh9INWxWMxmFBM603YHIHV6\nemrdRnh9ogGGnaP8vV7PWgnZ6Z7PNZtNy6GJIgCyKC+h2J5eSTPE2tqaYrGYcrmcXn31VS0tLem9\n997To0ePVK/XVSwWLXrY29vT1taWjZWl1uqNbJAYc1E0dZVkpLBOfM4jPT0fyudpfv/V1dVV9ft9\n3b9/X/V63TaiunfvnpaWlnT9+nX9z//8jw4ODrSysqJqtWrn8YSCRCIxNGQc3uzNmzdVKpXU7Z7P\nGa5Wq5qdnTUQC7ID5STAr8PDQ2syYASMz0XPzs6MpQUqe3p6aru5s8CZokG4m0wmrVG93W7bDGdo\nkb69j5lURAPMjuJaQ6HzGcxHR0e6c+eOkT9u3bqldDqt/f19ffzxx1pfX7c9ezE+jx49st3yeJ4Y\nW//OeJfB93wVZaSwzxBfSA+GUiju4eGhPvnkE2WzWc3NzSkWi6lQKBgnuV6va3p6WrlcTn/8x3+s\nWCymt956S/l8XsVi0eYbA0DR5wnoRI7Y6XSMk8yc5EePHpmi+j/kywBCiUTClANgiwVOPRS6IB08\n7M+Dp4Iu2e127TvVatXQab/7AQCZNAjJPTrsWw0hmrDHbjwe1+zsrPL5vNbW1hQOh6097uzszEbS\nAAJ6ZfUSVNKrRvD/NBkp7KeIV9QgguiBlUKhoOXlZWUyGaVSKW1sbOidd96xrT3YwOr1119XPB5X\nq9VSPB437wZFj6kKfmIgY1XT6fTQ3CXqx9KAIeWbGTAUGJJyuWzzlaFTMuZFkhmDzc1N1et1A534\nHbXRTqejVCplITPXidLT8kfDPwAWfGAPuO3v7yuVSmllZUXxeFyvvPKKFhYWLOJoNpva2trSwcGB\nbVbV6XS0sbGh3d3dZxL1g4ym50lGCvspEmTG+JDYTyrY2NjQycmJlpaWlE6ntba2plwup1/84hcW\nBi8uLmp8fNymW7DYy+WyarWajVKhnup7Nbvdro1Wlc491fz8vHZ3d3V6eqpEImEeEWoiOSo7tKdS\nKe3u7uqVV17R5OSkarWaOp2OFhcXbWc6js9UiqOjo6EeVeq2Y2NjQzuUJxIJ8/YYHbwfbXp+ssXh\n4aFmZma0vLxsvcB37tzR8vKyRR0PHjzQ9va2dnd3rbVvd3dX6+vrQ/viBo3qs9D+50VGKPHvIEHQ\nIsicASzK5/NaXFxUPB5Xo9HQ7u6uEomE7t69qzfeeEPXrl3T7Oys9vb29POf/1wff/yxWq2WNjc3\nTXE8MR4FpF5K7fL09FTpdNryUoCb2dlZU3qUtt/va3Fx0Xi+kOvL5bLa7baNfslms7anK6hrrVaz\nQei5XE79fl97e3s21vXo6Mh2EvDezStxt3u+qRX9xUz0uHPnjl3vT37yEz148EAnJycWUZydnemT\nTz7R7u6uzXn2BtT3/1721rjfRZ6FEo8U9ncQb6290npwiv+PjY3pD/7gD6ztbGNjQ3t7e/rOd76j\nP//zP9f09LSWl5fVbre1vr6u+/fv6/79+4aw1ut1A27YEJoao3ROaOh0OkokEgY40aROuWl8fFyJ\nRML+TXnl7OzMZk99+OGHtkP99PS0Tk5OlEqljPMbi8XsevxIGfJRWFue5kl3DrOvCL3D4bAymYz+\n6I/+SCsrKxalgD7/27/9mxkFnhsjXTgeEmQufdZa61WRkcJ+QeLrer5n1f9Oks3FnZ+fN09RLBZV\nr9f13e9+1zwuNcypqSn97d/+rXlJGtmZI0UTAErph695sgK1YoAdNvCCHTU2NqZKpWLlk83NTRtH\nSjiay+Ws9AKHGRQZKiPK6XNFQud+/7y9cGFhwTbtSqfTymazun37tlZXVxUOh1Wr1bS9va2trS1t\nb2/bjORoNKp6va5CoaBqtWrboEhPo73B/48U9guS50VhpafrtcH2LN8NQwiYz+c1NTWlRqOhDz/8\nUPF4XG+88YYWFxc1OTmpN954Q//yL/9i204y7YEuG2bygtb6GinXBIDlFze8XD+OFBrl5OTkUK6J\nwlOy4bPcD/vqShrytoTZKBw1WrZDyWQyWllZUS6XM7CNaR3b29tqtVoaGxtTOp1Wt9vVzs6OCoXC\nELsq+NyDyvm8KCoyUtgvSC4Ki31bHuUNPCEeeHV1VYuLi4bmbm1tGegzNjamN99804CiaDSqTCYj\nSdre3tbbb7+tVqs11J7GfjDMSmYBN5vNoWZ3SZb/4kVpgeP7KDlKHxybKg1mYIH2RqNRo0gyQYOp\n/dRS33zzTd28edPKTNJ5U/t//dd/aX193UJqwvFKpaLd3V01Gg2LGnzL4EX18efJq3oZKewXJBex\nZLyn9XRGQljy0Hg8rvn5ea2urlrbGbXMSCSiv/iLv9D09LSOjo707W9/26h3lUrFdgevVquqVCrG\n7KEEhCLh+TgmHgouM8IwcfJRP6oFyiCdPqDjtNpBM/SjXuiXnZub0/z8vE2DwPAUi0UVCgXt7Ozo\nF7/4haanp5VMJs1A7e/v6/3337dcHPHTCz1GgLJ70sTzJCOF/ZLkIrobz9T3peIJyAlZ2NQXJVkp\npVQqGdp7/fp1vfTSS7p27Zri8bgk2WZOtK5tbGyoWq3q1q1bevvtt/XJJ5/o7t27unnzpu34lkql\ntL29bewnSB1wk2mkZ3wpiO/BwYHVVvmTy+U0OztrXTz9ft9CZbx8o9HQO++8o08++cSUG4UHQKtW\nq9ZdA0mEZ+XzYo4bLNFcFV7w7yMjhf2S5LPwUn3jgKShHegymYx5XhSDfWmoXWazWV3/v13yZmZm\ndP3/9rM9OjpSIpFQs9nU/v6+lpaW9Otf/1offfSRXn75Zb355puKRCKq1+taXV3V+vq6isWi8Y0X\nFxe1vr6uF198Uf1+X0+ePDHvSePB5uamJiYmbCYxYT/TJ+AOMx5ma2tLb731lpV5UFa8Ma1xe3t7\nQxRMnlOQYSYN74J+0fMfKeyXIM+zwl5EKPd0QQAiT/SXhnPEaDSql156ydrhAIra7baq1aparZb6\n/b7y+by+973vKZvNam9vTzMzM3r55ZeNdMG8JbaqSCaTOjo6Ui6X0+7urrGYIpGI5ufn9ejRI62t\nrSkajWpzc9PqvwxDp/7JGJher6fd3V2Nj49biN7tdm3wd7vdtk4aFJZwnSHjtVrNziENb8QdBJV8\n2PtNkpHCfsniw14kqMz8DmCK0A8vFAqFbBvHbDb71C7o/X7fJvePj48b4+f//b//p8nJSe3v71vr\nHSAQ4fbMzIzK5bIymYwpdzKZtBB5cnLS5i/R6UOuWKlUFAqFbAe/ra0t2zCLXNLvtxOPxxWJRLS3\nt2c1XGZOcW7PNybfv4j4AA3zmyYjhf0axCO1nmooDRMvaGfzO9mFw2HlcjnjITOZ0E99oFf16OjI\n8kAGvzEYHOpfOp1WpVJRPp8fCiOnpqZs35mtrS2btQQizPEpLSWTSWuNYwwp7Xb9ft9a8Wq1mnZ2\ndswo+dnLodBg5ChK6hX2WaHxN0lGCvs1yEUlIGngaYMkDElD1DvyRX7GBliJRMK2p0BpgnxalAfF\n8tfg+1EZmkbXjCSbMRwKhYy0wP9BcRn67ffNpQTjw11/v55OyP0Ha6nPM5D0u8hIYb8m+W2gFHla\nMA8OkgSCU/6pn4ZCIetflaR0Oj1UpvH7zXrFIYzl/5IM/KFGSyiOp6VZ/fDw0EpCfrg4pSZviPwz\n4H68p/UKfJFR+6bKSGG/JnmWx7gov72onkud1H8Oz8vP/fc4D7sRQFpgmDc1WXYc8DvukSfTiE5+\nGWwER+n4PdcOgQTvyvUHedee1oh80xU0KCOFvQLiGVPSIGT2aGnQY3tPhTJKw6Exx+ZvT1n0Owf4\n8/lJGyhdML/05+WcHukN5qX++BeBcyMZyEhhL6n8tjDQ56ZBpfILHY/sZyV5z+jzxYsQ2WAzw7MY\nXcHSy0VyUd7uj/lp0cZIcc9lpLCXXC4CqIJh6EUATXCqo89T/bH9v32O6b2634rRe/WLSi3+eEFl\nDF7DSBF/dxkp7HMgv81DXdTq50kJPtfle0FDcZF39N8PfjZoKJBnrauR8n42eZbChi/64Ugup1xU\nk3xWOOnz0IvAnYs8YvC7ns8bLM1clId+1nv4rJ8dydMyUtgrIs9a5M9CWr0S+zD4ovD6WecIAk3e\nMwfPFVToT7uPkYf9/WWksFdEPi3E/LTvPEtBgyyiYFnodym7/DYl/Sz3MZLPJiOFveTyeUPNZ4Wv\n/EGC4NJF4NVnuYaRfLkyGnN6yeVZHu8iAOoiLyoN95Re9LlPO6b06Y0NI/lqZYQSf0NlxNm93PIs\nlHjkYb+hMlLUqymjHHYkI7lCMlLYkYzkCslIYUcykiskI4UdyUiukIwUdiQjuUIyUtiRjOQKyUhh\nRzKSKyQjhR3JSK6QjBR2JCO5QjJS2JGM5ArJSGFHMpIrJCOFHclIrpB8Zd06IxnJSD6/jDzsSEZy\nhWSksCMZyRWSkcKOZCRXSEYKO5KRXCEZKexIRnKFZKSwIxnJFZKRwo5kJFdIRgo7kpFcIRkp7EhG\ncoVkpLAjGckVkpHCjmQkV0hGCjuSkVwhGSnsSEZyhWSksCMZyRWSkcKOZCRXSEYKO5KRXCEZKexI\nRnKFZKSwIxnJFZL/PwBFAVY7Y2VYwgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load in T1 scan, convert to double, and select axial slice\n", + "t1_file='/Volumes/shares/EEG/EIG/Projects/Morphometric_MRI/Multicontrast_MRI/MRI_corrected/hv1/ct1.nii'\n", + "z = 160\n", + "t1 = nibabel.load(t1_file).get_data()\n", + "data = t1.astype(np.double)[:,z,::-1]\n", + "\n", + "# set style\n", + "plt.style.use(['seaborn-white', 'seaborn-paper'])\n", + "\n", + "# make a figure\n", + "nrows=1\n", + "ncols=1\n", + "width=5\n", + "height=5\n", + "fig, ax = plt.subplots(nrows=nrows, ncols=ncols, figsize=(width, height),\n", + " sharex=False, sharey=False, facecolor='w', frameon=False)\n", + "\n", + "# display image\n", + "ax.imshow(data, cmap='gray', interpolation='nearest')\n", + "\n", + "# turn off axis\n", + "ax.axis('off')\n", + "\n", + "plt.show()" + ] + }, { "cell_type": "code", "execution_count": null,