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1019
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1019
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/sirocat/python/blob/main/1019\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"id": "Ar2VFkKTMnxE",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "96a12622-cdcf-4c8c-a803-696b1f99a442"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"['hello', 'python']\n"
]
}
],
"source": [
"s='hello python'\n",
"print(s.split())"
]
},
{
"cell_type": "code",
"source": [
"data = '1907-10-01'\n",
"print(data.split('-'))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "y9vfsCKtPDvL",
"outputId": "eb771ae2-21b8-475f-cb12-005da4ae4a3e"
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"['1907', '10', '01']\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"print(data.split('-')[0])"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Y0ICKQV4PDyB",
"outputId": "31ab44a4-4ac7-4cb3-f36e-c967f055390d"
},
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"1907\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"print(data.split('-')[1])"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "8Kk0OWl7PD0T",
"outputId": "9dea358e-c674-4320-d961-11ec53f278ec"
},
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"10\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"import csv\n",
"file = open('weather.csv',encoding='euc-kr')\n",
"data = csv.reader(file)\n",
"next(data)\n",
"data = list(data)"
],
"metadata": {
"id": "TRkWHQq3SlKh"
},
"execution_count": 7,
"outputs": []
},
{
"cell_type": "code",
"source": [
"result = []\n",
"for row in data:\n",
" if row[0].split('-')[1] == '02' and row[0].split('-')[2] == '06':\n",
" if row[1] != '':\n",
" result.append(float(row[1]))"
],
"metadata": {
"id": "CjLYqwDyPD29"
},
"execution_count": 12,
"outputs": []
},
{
"cell_type": "code",
"source": [
"print(result)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "1CYu5vFWTyQR",
"outputId": "0a345559-99fd-425b-8aaa-e4b2af30d748"
},
"execution_count": 13,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"[-4.8, 0.8, -7.4, 5.2, 3.0, -4.0, -5.8, -0.1, -2.6, 0.0, -5.8, -2.3, 0.4, -5.5, -10.1, -0.3, 1.9, -7.2, -11.7, -5.7, -7.6, -1.7, -5.0, -4.4, -9.1, -0.8, -5.9, -8.9, -4.5, 1.0, -5.1, -2.2, 0.9, 0.6, -0.5, 5.7, 6.7, 4.6, -0.4, -4.8, -0.2, -4.9, -8.3, -0.8, -7.4, -9.4, -3.8, -3.3, -0.1, -2.5, -0.8, 5.3, -2.6, -6.9, 1.2, -2.2, -11.6, -2.0, -5.9, 2.9, -12.1, 3.5, -8.4, 1.3, -6.8, 1.0, -0.9, 0.3, -2.1, 10.4, 4.0, -1.5, -6.6, -1.5, 2.9, -0.2, -0.1, 2.6, 5.9, 0.5, -4.0, -0.1, 0.2, 8.0, -3.2, 3.2, -4.7, 0.3, 0.9, -1.5, -1.3, 0.4, -3.1, -1.7, -10.1, 5.1, -6.4, 6.8]\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"sum = 0\n",
"for i in result:\n",
" sum += i\n",
"print(f'기상이 관측된 {len(result)} 해동안 내 생일의 평균 기온은 {sum/len(result)}도이다.')"
],
"metadata": {
"id": "5maSYd3iVSUO"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"result = []\n",
"for row in data:\n",
" if row[0].split('-')[1] == '12' and row[0].split('-')[2] == '25':\n",
" if row[2] != '' and row[3] != '':\n",
" result.append(float(row[2]-float(row[3])))"
],
"metadata": {
"id": "UU1vxCilaI2N"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"sum = 0\n",
"for i in result:\n",
" sum += i\n",
"print(f'크리스마스의 평균 기온은 {sum/len(result)}도이다.')"
],
"metadata": {
"id": "E991oXTgaI8b"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"plt.plot([1,2,3,4],[1,9,3,1])\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 430
},
"id": "X96UGA0KkBWf",
"outputId": "5f779477-73bd-4350-b262-07cfe9dc8585"
},
"execution_count": 14,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "gclFHD9CrSA_"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"import matplotlib.pyplot as plt\n",
"x=[1,2,3,4,5]\n",
"y1=[2,4,8,16,32]\n",
"y2=[3,9,27,81,243]\n",
"plt.rc('font',family='Malgun Gothic')\n",
"[;t.rcParams['axes.unicode_minus']=False]\n",
"plt.title('거듭제곱의 그래프')\n",
"plt.xlabel('X')\n",
"plt.ylabel('Y')\n",
"plt.plot(x,y1,label='2의 거듭제곱')\n",
"plt.plot(x,y2,label='3의 거듭제곱')\n",
"plt.legend()\n",
"\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 472
},
"id": "XHPYbHbUn5r8",
"outputId": "ebd7fa13-9615-4182-b7ab-6f5e92f771dc"
},
"execution_count": 17,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"import matplotlib.pyplot as plt\n",
"x=[1,2,3,4,5]\n",
"y=[n*2 for n in x]\n",
"plt.plot(x,y,color='red',marker='o',markersize = '10',linestyle = ':')\n",
"plt.grid()\n",
"plt.axis([0,6,0,12])\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 435
},
"id": "w7xu_2mStirA",
"outputId": "dd438cd2-d47e-419e-c80e-876b5496a328"
},
"execution_count": 24,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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2TAkJCcrLy1Pjxo39utb1kZH7779fM2bM0M033yxJ6tatm7788kulp6dXGkaio6MVHR19RrvX6+VD4RL60j30pTvoxypq1Urq0MHsI+LP740ej5ScLG98PE/j9QOfy5qpSd+5voC1sLBQET/Y6S8yMlIlbEUMAP7xeMwuqtUxeTJBBCHD9TAyfPhwPfroo1q9erW++OILrVixQk8//bR++tOfuv1WABC+9u6VduwwW7nHxlZ9O/eICHP+uHGBrQ9wkevTNPPmzdODDz6oe++9V0ePHlViYqImTJigmTNnuv1WABCe1q+Xhg+XEhOlLVuk1183O7BGRJx747OICDMasny51LRprZUL1JTrYaRRo0bKyMhQRkaG2z8aAOqGLl2kxo2lCy4wW7wPHSqtXm12Yi29Y+H0NSSl0zExMSaIDKnJPThA7eNBeQAQDE7fvr1FCzM6kpUlld6aO3SodPCglJEhJSdXvDY52bQfOkQQQUgijACAbX/5i9S2rfTuu+VtHTpI9X4weN20qVmYunu3fIcP662FC83tu7t3m/YmTWqzasA1hBEAsG3dOik/X1q0qGrnezxSXJzZ0CwujrtmEPJcXzMCAPDTvHlSz57mabtAHcTICADUJseRXnxR+uUvy9saNDDTLJGR1soCbGJkBABq0yefSOPHm++vu066+mq79QBBgDACALWpe3fpwQel6Ghp0CDb1QBBgTACAIHkONJLL5lNzJo1M22//a3dmoAgw5oRAAikGTPMlu7jx/v3sDugDiGMAEAgjR5tnhXTvz9hBDgLpmkAwE2OI331ldnETJIuvVT64guztTuASjEyAgBuOX7cjIT07i0dOFDeThABzokwAgBuiYqS9u83oWTjRtvVACGDaRoAqInSdSAej7ld99VXpZwcqW9fu3UBIYSREQCorm+/lX72M+lPfypvS04miAB+IowAQHX9+c/SypXSr35lHnQHoFqYpgGA6kpLk3bskO68U2rc2HY1QMhiZAQAqurYMWn2bKmkxBxHREjPPWdu3wVQbYyMAEBVfP+9NGCAtHOn5PVKv/617YqAsMHICABURb16Zmv3jh2lYcNsVwOEFcIIAJzN0aNm99RSt98uffSR1KOHrYqAsEQYAYDKbN4s9expbt0tKipvr1/fWklAuCKMAEBlEhMln086dUrKzrZdDRDWWMAKAKW++85s6S5JF14ovfWWWSPSoIHduoAwx8gIAEjS229LF11kpmdK9epFEAFqAWEEACRp0SLzpN1HHrFdCVDnME0DAJIJIxddJD34oO1KgDqHkREAddObb0rp6eXHTZtKc+ZIMTHWSgLqKkZGANQ9O3ZI110nOY70X/8lDRpkuyKgTiOMAKh7unSR7r3XfN+/v91aABBGANQRb70lXX651LChOZ471zzoDoB1/EkEEP7S06WhQ6WJE8vbCCJA0OBPI4DwN2CAFBkpNWsmFRfbrgbADzBNAyA8ffutCR+SdNVV0uefm1t3AQQdRkYAhJeiIum++6SuXaX//Ke8nSACBC3CCIDw8v33Umam9PXX0htv2K4GQBUwTQMgvDRoIL36qvTll9KwYbarAVAFjIwACG2nTpk9Q/761/K2rl0JIkAIIYwACG0LF0oLFkh33SXl5tquBkA1ME0DILSlpUnr10sTJpjnywAIOYyMAAgthYVmJMRxzHG9etLy5WZTMwAhiZERAKHj+++lK6+Utm0z30+aZLsiAC5gZARA6KhXTxo3ToqPlzp3tl0NAJcQRgAEt4ICKTu7/HjyZOmzz6Srr7ZXEwBXEUYABK//9/+kPn2kG2800zKS5PFIzZvbrQuAqwgjAIKX1ysdOiTt2yd98YXtagAECGEEQO1wHCknRzHZ2VJOTvndMJWdV+qii6RVq6Tt23m2DBDGCCMAAis3V3rmGSklRd7ERA2ZMEHexEQpJcW0n75R2fbtUu/e0o4d5W0DB0oXXFC7NQOoVYQRAIGzdq3UurU0daqZajndvn2mvXVrc54kzZplAskvf1nrpQKwh31GAATG2rXm+TCOU/mUTGnbyZPmvNWrpeefl+LipCefrN1aAVjFyAgA9+XmSqNGmcBRUnLuc0tKzHmjRklRUdKf/mQCCYA6IyBh5NChQ7rtttsUFxenmJgYdevWTVu2bAnEWwEIRosXm23bzxdESpWUmPOXLAlsXQCCkuth5Ntvv9WAAQPk9Xq1Zs0affbZZ3rqqafUrFkzt98KQDByHGnevOpdO3fu2e+yARC2XF8z8vjjj6tNmzZ64YUXytrat29/1vOLiopUVFRUdpyfny9J8vl88vl8bpdXp5T2H/1Yc/SlH3Jy5N271//rHEfau1e+7GymaaqAz6R76Et31KT/PI7j7q8hnTt31tChQ3Xw4EGtX79eF154oe69917deeedlZ7/0EMPafbs2We0L126VLGxsW6WBqAWxGRna8iECdW+/q2FC3UyPt7FigDUhsLCQt16663Ky8tT48aN/brW9TBSv359SdK0adN00003afPmzbrvvvv03HPPKTU19YzzKxsZadOmjQ4fPqw4fjuqEZ/Pp8zMTF1zzTXyer22ywlp9KUfcnLMPiLV5Dt8mJGRKuAz6R760h3Hjh1TQkJCtcKI69M0JSUl6tOnj+bMmSNJ6tWrlz799NOzhpHo6GhFR0ef0e71evlQuIS+dA99WQWtWkkdOph9RPz5XcfjkZKT5Y2PN9+jSvhMuoe+rJma9J3rC1gTEhLU+QeP9r7kkkv01Vdfuf1WAIKRxyNNnFi9haiTJxNEgDrI9TAyYMAA7dy5s0Lbrl271LZtW7ffCkCw+tnP/AsVERFSbKw0blzgagIQtFwPI1OnTtXGjRs1Z84c7dmzR0uXLtWiRYuUlpbm9lsBCFZJSVJGhgkZEef5ayYiwgSX5culpk1rozoAQcb1MHLZZZdpxYoVevnll9W1a1c9/PDDysjI0NixY91+KwDBorhYevjh8mfMSGbK5R//kGJiTNj44UhJaVtMjDlvyJDarRlA0AjIs2muv/56XX/99YH40QCC0fz50syZUosW0q5dUukmh0OHSgcPmp1V586VTt9/JDnZBJbUVKlJEzt1AwgKPCgPQM3ddZf0179Kv/hFeRAp1bSpCR2TJsmXna2sVas0aMQI7poBUIYwAsB/338vrVplFqpKUv360oYN5w4XHo8UF2c2NIuLI4gAKMNTewH4p7jYTL+MGmUeiFeKcAGgmggjAPwTGSkNHCg1bGhGRACghggjAM7v+++lvLzy41//WvrkE2nMGHs1AQgbhBEA53bggBkJueUWqaTEtEVGSu3a2awKQBhhASuAc8vNlbZulaKipJ07pUsusV0RgDBDGAFwbt26SS+/bP7ZoYPtagCEIaZpAFT0xRfST35inrpbauRIggiAgCGMAKho4kSzrfvdd9uuBEAdQRgBUNHvfy9de620aJHtSgDUEYQRoK7bu1d67bXy46Qk8+A67pYBUEtYwArUZbt2SZddJp06ZR5c17u37YoA1EGEEaAuS0kxe4jk5Jgn7gKABYQRoK7Zv19q00aqV888T+bPfzbbunu9tisDUEexZgSoS159VereXXroofK2Ro0IIgCsIowAdUlJiXTihPT+++Z5MwAQBJimAcJdSYkU8X+/d9x8sxQbK113nZmmAYAgwMgIEM6WLJEuv1wqLCxvGzGCIAIgqBBGgHCVny9Nny59+KG0YIHtagDgrPj1CAhXjRtLf/mL9K9/SVOm2K4GAM6KMAKEC8eR/vhHqVMn6YorTNuPf2y+ACCIEUaAcLFwoXTPPVLr1tLHH0vNmtmuCACqhDUjQLgYO1bq3FlKS5OaNLFdDQBUGSMjQKhyHLNfyIAB5rhRI+nf/5aiouzWBQB+YmQECEUlJdItt5i1IStXlrcTRACEIMIIEIoiIszakHr1pK+/tl0NANQI0zRAqHAcqajIPNROktLTzTqRXr3s1gUANcTICBAKvv1WGjVKSk01oUQyD7cjiAAIA4yMAKFg927p73+XPB5pxw6pa1fbFQGAawgjQCjo21datEjq1o0gAiDsME0DBKNvvpFuv73i4tTx46U+fayVBACBwsgIEIxuv91My2RnS2vW2K4GAAKKMAIEo9/9Tjp0yNwxAwBhjmkaIBj85z/S22+XH3fsKG3ZIvXsaa0kAKgthBHAtn37TOgYOVL6/PPydo/HVkUAUKuYpgFsa9tW6tTJLFYtLrZdDQDUOsIIYMOxY1KzZmZb98hIadkyKSZGatjQdmUAUOuYpgFq2zvvSF26SE89Vd52wQUEEQB1FmEEqG179phbdl9+WfL5bFcDANYxTQPUtjvvNNMzt95qni8DAHUcIyNAoK1dK11/vfTdd+bY45F+8QspNtZuXQAQJAgjQCAdPy6NHSutXi0984ztagAgKDFNAwRSo0bSH/8ovfmmNGmS7WoAICgRRgC3rV4tJSZKvXqZ4xtuMF8AgEoxTQO4ackSsz5k9GgpP992NQAQEggjwPk4jpSTo5jsbCknxxyfzfXXS0lJ0nXXSdHRtVcjAIQwwghwNrm5ZtFpSoq8iYkaMmGCvImJUkqKac/NNeft3Fl+TfPm0kcfmdcJIwBQJYQRoDJr10qtW0tTp5oH2Z1u3z7T3rq19NOfSp07V3zibtOmtVoqAIQ6wgjwQ2vXSsOGSSdPmimZH07LlLadPCn97W9SSYn04Yd2agWAMBDwMPLYY4/J4/FoypQpgX4roOZyc6VRo0zYKCk597klJWYDs/r1pbS0WikPAMJRQMPI5s2btXDhQnXv3j2QbwO4Z/FiqbDw/EGkVEmJVFRk7qIBAFRLwMLIiRMnNHbsWD3//PNq1qxZoN4GcI/jSPPmVe/auXPPfZcNAOCsArbpWVpamoYNG6bBgwfrkUceOet5RUVFKioqKjvO/7+9GXw+n3w80bRGSvuPfqyinBx59+71/zrHkfbulS87W4qLc7+uMMJn0j30pXvoS3fUpP8CEkaWLVumbdu2afPmzec9Nz09XbNnzz6jPSsrS7E8SMwVmZmZtksICTHZ2RpSg+uzVq3Syfh41+oJZ3wm3UNfuoe+rJnCwsJqX+txHHfHlg8cOKA+ffooMzOzbK3IwIED1bNnT2VkZJxxfmUjI23atNHhw4cVx2+ZNeLz+ZSZmalrrrlGXh5Vf345OWYfkWryHT7MyMh58Jl0D33pHvrSHceOHVNCQoLy8vLUuHFjv651fWRk69atOnr0qHr37l3WVlxcrA0bNujZZ59VUVGRIiMjy16Ljo5WdCWbQ3m9Xj4ULqEvq6hVK6lDB7OPiD8Z3eORkpPljY833+O8+Ey6h750D31ZMzXpO9fDyNVXX61PPvmkQtv48ePVqVMnTZ8+vUIQAYJKYaF5oN3//q//106eTBABgGpyPYw0atRIXbt2rdDWoEEDxcXFndEOBI2DB6WhQ80/Y2KkU6eqdntvRIQ5f9y4wNcIAGGKHVgBSWrZUmrYUGrQQJozx4xyRJznj0dEhDlv+XK2gAeAGgjYrb2ne/fdd2vjbQD/nDxpdk/1eKSoKOm118zD7Vq2lDp1Mjuxlq4OP30NSel0TEyMCSJDanIPDgCAkRHUTR99JPXsKS1aVN7Wpo0JIlL5lE1GhpScXPHa5GTTfugQQQQAXEAYQd309tvSrl3S734nffdd5ec0bWoWpu7eLd/hw3pr4UJz++7u3aa9SZNaLRkAwlWtTNMAQWfqVDNNc/fdZormXDweKS7ObGgWF8ddMwDgMkZGUDds2yb9/OdScbE5joiQfvMbqUULu3UBABgZQR1w4oRZ23HsmNS5s/TLX9quCABwGkZGEP4aNjQLTkeOlO64w3Y1AIAfIIwgPG3aJO3cWX58223mNtxmzezVBACoFGEE4ef116UBA6TRo80i1VIsPAWAoEQYQfjp39+MgKSkSD6f7WoAAOfBAlaEh6NHyzcsS0yUtmwxm5gxGgIAQY+REYQ2x5GeeEJq107auLG8PSmJIAIAIYIwgtC3bZtZG/Laa7YrAQBUA9M0CG0ej3m+zPXXS2PH2q4GAFANjIwgtJSUSI8+Kk2fXt7WuLG5dZdpGQAISYyMILS8957Zxl2SxoyReve2Ww8AoMYIIwgtV10lzZghXXwxQQQAwgTTNAhuxcVmK/fjx8vb0tOl22+3VREAwGWEEQS322+Xpk6V7r7b3MYLAAg7hBEEt7vvlpo2la67jgWqABCmWDOC4PL999K+fVLHjuZ4wADpyy/NHTMAgLDEyAiCx9Gj0qBBZpFqdnZ5O0EEAMIaYQTBo2FDKTdXKiyUduywXQ0AoJYwTQO7ioulyEjzfWys2dI9MlK66CK7dQEAag0jI7Dnyy+lK6+UXn65vO3iiwkiAFDHMDICe156SfrgA+ngQWnUKCkqynZFAAALCCOwZ8YMs2h16lSCCADUYUzToPbs3y898ED55mX16klz50rt29utCwBgFSMjqB2FhVL//uaW3cREadIk2xUBAIIEIyOoHbGx0syZ0uWXSzfcYLsaAEAQIYwgcPbskb76qvz4nnuk9eulpCR7NQEAgg5hBIGxdq3Uu7c0Zozk85k2j8esEwEA4DSEEQRGx45SRITk9Ur5+barAQAEMX5NhXsKCqQGDcz37dtL//yndMkljIYAAM6JkRG446WXpHbtpI8/Lm/r1o0gAgA4L8IIas5xzJbuOTnSs8/argYAEGL4tRU15/FIS5ZIL75odlMFAMAPjIzAf44jvfCC9MQT5W0tWki/+lX5E3gBAKgiRkbgv3/9S7rjDnO3zNVXS5dearsiAEAII4zAf1dcId15p7ljplcv29UAAEIcYQTn5zjSK69II0dK9eubtoULzVoRAABqiDUjOL9Jk6RbbpGmTStvI4gAAFxCGMH5DR8uRUWZaRnHsV0NACDMME2DMzmOlJ0ttWpljocOlfbtky680G5dAICwxMgIKsrLk266Sfqv/5K+/ba8nSACAAgQwgjO9O9/S19/bW7hBQAgwJimQUVNmkivvSZ9/7102WW2qwEA1AGMjNR133xjbtldvbq8rVcvgggAoNYQRsKV40g5OYrJzjYPsDvbXTDPPCP97W/SXXdJRUW1WyMAACKMhJ/cXBMwUlLkTUzUkAkT5E1MlFJSTHtubsXzf/1racwY6Y03pOhoGxUDAOo4wkg4WbtWat3aPDl3376Kr+3bZ9ovvFC6++7ykZLoaGnZMrZ1BwBYwwLWcLF2rTRsmAkZlU3JlLYVFpqt3GNjpaefrt0aAQCohOsjI+np6brsssvUqFEjtWzZUiNHjtTOnTvdfhucLjdXGjXKBI6Skqpd89xzZ07ZAABggethZP369UpLS9PGjRuVmZkpn8+nIUOGqKCgwO23QqnFi82IR1WDiCSdOiUtWRK4mgAAqCLXp2nefPPNCscvvviiWrZsqa1bt+qqq65y++3gONK8edW7du5c8xA8HnoHALAo4GtG8vLyJEnNmzev9PWioiIVnXZLaX5+viTJ5/PJ5/MFurzQl5Mj7969/l/nONLevfJlZ0txce7XFWZKP4t8JmuGfnQPfeke+tIdNek/j+ME7jGsJSUlGjFihHJzc/Xee+9Ves5DDz2k2bNnn9G+dOlSxcbGBqq0sBGTna0hEyZU+/q3Fi7Uyfh4FysCANRFhYWFuvXWW5WXl6fGjRv7dW1Aw8g999yjNWvW6L333lPr1q0rPaeykZE2bdro8OHDiuM39vPLyTH7iFST7/BhRkaqwOfzKTMzU9dcc428Xq/tckIW/ege+tI99KU7jh07poSEhGqFkYBN00ycOFFvvPGGNmzYcNYgIknR0dGKrmSzLa/Xy4eiKlq1kjp0MPuI+JMrPR4pOVne+HjWjPiBz6U76Ef30JfuoS9rpiZ95/rdNI7jaOLEiVqxYoXeeecdtW/f3u23wOk8HrMItTomTyaIAACscz2MpKWl6c9//rOWLl2qRo0a6ciRIzpy5IhOnjzp9luhVGqq2cQsoor/OSMizPnjxgW2LgAAqsD1MLJgwQLl5eVp4MCBSkhIKPt65ZVX3H4rlGraVHr9dTPKcb5AEhFhzlu+3FwHAIBlrq8ZCeB6WJzL0KHS6tVmJ9bCQtN2+n+L0umYmBgTRIYMqf0aAQCoBA/KCydDh0oHD0oZGVJycsXXkpNN+6FDBBEAQFDhQXnhpmlTszB10iT5srOVtWqVBo0YwV0zAICgxchIuPJ4pLg4s6FZXBxBBAAQtAgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwijACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwIWRubPn6927dqpfv366tevnzZt2hSotwIAACEsIGHklVde0bRp0zRr1ixt27ZNPXr00NChQ3X06NFAvB0AAAhh9QLxQ59++mndeeedGj9+vCTpueee0+rVq/WnP/1JM2bMqHBuUVGRioqKyo7z8vIkSd98800gSqtTfD6fCgsLdezYMXm9XtvlhDT60h30o3voS/fQl+4o/f+24zh+X+t6GPnuu++0detWPfDAA2VtERERGjx4sD744IMzzk9PT9fs2bPPaO/YsaPbpQEAgAA7duyYmjRp4tc1roeRnJwcFRcXKz4+vkJ7fHy8Pv/88zPOf+CBBzRt2rSy49zcXLVt21ZfffWV3/8yqCg/P19t2rTRgQMH1LhxY9vlhDT60h30o3voS/fQl+7Iy8tTUlKSmjdv7ve1AZmm8Ud0dLSio6PPaG/SpAkfCpc0btyYvnQJfekO+tE99KV76Et3RET4vxzV9QWsLVq0UGRkpLKzsyu0Z2dnq1WrVm6/HQAACHGuh5GoqChdeumlWrduXVlbSUmJ1q1bp/79+7v9dgAAIMQFZJpm2rRpSk1NVZ8+fdS3b19lZGSooKCg7O6ac4mOjtasWbMqnbqBf+hL99CX7qAf3UNfuoe+dEdN+tHjVOcenCp49tln9eSTT+rIkSPq2bOn5s6dq379+gXirQAAQAgLWBgBAACoCp5NAwAArCKMAAAAqwgjAADAKsIIAACwKujCyPz589WuXTvVr19f/fr106ZNm2yXFHI2bNig4cOHKzExUR6PRytXrrRdUkhKT0/XZZddpkaNGqlly5YaOXKkdu7cabuskLRgwQJ17969bIfL/v37a82aNbbLCnmPPfaYPB6PpkyZYruUkPPQQw/J4/FU+OrUqZPtskLWoUOHdNtttykuLk4xMTHq1q2btmzZUuXrgyqMvPLKK5o2bZpmzZqlbdu2qUePHho6dKiOHj1qu7SQUlBQoB49emj+/Pm2Swlp69evV1pamjZu3KjMzEz5fD4NGTJEBQUFtksLOa1bt9Zjjz2mrVu3asuWLfrxj3+sG264QTt27LBdWsjavHmzFi5cqO7du9suJWR16dJFhw8fLvt67733bJcUkr799lsNGDBAXq9Xa9as0WeffaannnpKzZo1q/oPcYJI3759nbS0tLLj4uJiJzEx0UlPT7dYVWiT5KxYscJ2GWHh6NGjjiRn/fr1tksJC82aNXP+8Ic/2C4jJB0/ftxJSUlxMjMznR/96EfOfffdZ7ukkDNr1iynR48etssIC9OnT3euuOKKGv2MoBkZ+e6777R161YNHjy4rC0iIkKDBw/WBx98YLEywMjLy5Okaj2REuWKi4u1bNkyFRQU8IiIakpLS9OwYcMq/H0J/+3evVuJiYlKTk7W2LFj9dVXX9kuKSStWrVKffr00U033aSWLVuqV69eev755/36GUETRnJyclRcXKz4+PgK7fHx8Tpy5IilqgCjpKREU6ZM0YABA9S1a1fb5YSkTz75RA0bNlR0dLTuvvturVixQp07d7ZdVshZtmyZtm3bpvT0dNulhLR+/frpxRdf1JtvvqkFCxZo//79uvLKK3X8+HHbpYWcffv2acGCBUpJSdHatWt1zz33aPLkyVq8eHGVf0ZAnk0DhJu0tDR9+umnzCnXwMUXX6zt27crLy9Pr732mlJTU7V+/XoCiR8OHDig++67T5mZmapfv77tckLatddeW/Z99+7d1a9fP7Vt21avvvqqfv7zn1usLPSUlJSoT58+mjNnjiSpV69e+vTTT/Xcc88pNTW1Sj8jaEZGWrRoocjISGVnZ1doz87OVqtWrSxVBUgTJ07UG2+8oaysLLVu3dp2OSErKipKF110kS699FKlp6erR48eeuaZZ2yXFVK2bt2qo0ePqnfv3qpXr57q1aun9evXa+7cuapXr56Ki4ttlxiymjZtqo4dO2rPnj22Swk5CQkJZ/xScckll/g17RU0YSQqKkqXXnqp1q1bV9ZWUlKidevWMa8MKxzH0cSJE7VixQq98847at++ve2SwkpJSYmKiopslxFSrr76an3yySfavn172VefPn00duxYbd++XZGRkbZLDFknTpzQ3r17lZCQYLuUkDNgwIAztj3YtWuX2rZtW+WfEVTTNNOmTVNqaqr69Omjvn37KiMjQwUFBRo/frzt0kLKiRMnKqT7/fv3a/v27WrevLmSkpIsVhZa0tLStHTpUv3tb39To0aNytYuNWnSRDExMZarCy0PPPCArr32WiUlJen48eNaunSp3n33Xa1du9Z2aSGlUaNGZ6xZatCggeLi4ljL5Kdf/epXGj58uNq2bauvv/5as2bNUmRkpG655RbbpYWcqVOn6vLLL9ecOXM0evRobdq0SYsWLdKiRYuq/kPcubHHPfPmzXOSkpKcqKgop2/fvs7GjRttlxRysrKyHElnfKWmptouLaRU1oeSnBdeeMF2aSHnjjvucNq2betERUU5F1xwgXP11Vc7b731lu2ywgK39lbPmDFjnISEBCcqKsq58MILnTFjxjh79uyxXVbI+vvf/+507drViY6Odjp16uQsWrTIr+s9juM4LockAACAKguaNSMAAKBuIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAqv8PVAKIqthckA4AAAAASUVORK5CYII=\n"
},
"metadata": {}
}
]
}
]
}