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@LuxXx
Created July 31, 2019 08:54
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scikit-learn SVC
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{
"cells": [
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"from sklearn import svm\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {},
"outputs": [],
"source": [
"X1 = np.random.uniform(0, 0.8, 1000)\n",
"Y1 = np.random.uniform(0, 0.5, 1000)\n",
"\n",
"X2 = np.random.uniform(0, 0.2, 1000)\n",
"Y2 = np.random.uniform(0.5, 1, 1000)\n",
"\n",
"X = np.append(X1, X2)\n",
"Y = np.append(Y1, Y2)\n",
"\n",
"V = []\n",
"for k in range(len(X)):\n",
" V.append((X[k], Y[k]))"
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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mmm5eNhPXqpDZF+6cvVuA7/9eLAANTLJuPMDuwYbep9FTfCe96ydghgGrS/8GW2c+Wv3sptzf4t91bcG59C6OsA/gT6dvxzMzH8WbG2+Y/cP1fYmuV2Td+ELpd6vXM03M0bFxPPTMfhyfLNV8Lv7NBWuf03o9ClG+ZuFEeUJvdxdOFEs1i061OJ985RDKinkpCiL+dyqBBQC93XnMMDi9IGzfw7Z4s6DN6b4jAbVzK0OoBLSM+PzE55QjUs6xJLT6Bekq3LNtlhHhZgbJTDPFuvALNh8DdLIqLLfO/AbO6u7C+ugva45llf87xs4CEdCPk5jEPPTiFMig6k+zHHI0o/VOz7B4EYnnmGHAX5d/q0aw54mwdeaj2Dr10bpzrNz40qzQ0PkaeJ32vVviUMcTh+JKkKyMf8RCfKl0W831iqUyNm07oNSGdYtG/Jtz+wtajVf+21KZYaIYvyj4dnfn28fqtsHf2nGw/ntVOFK5lsuiPjllHruI7nuY/oaTFXOH7jue29+ectmqFyLgttPibNp2wDgHgNnnB6DmOaUl2IH4mS9/6MXq/B7oifDgjZe2/fl3jObOJ8vwP/83fKF7Cz7I3hWEeb2wJABvfupkRQgeBvrOw/qTt+Cb711ed+xNub/Fl6L/hF6crn7G79oRdjb+dDp+sXCNewK9AIABOol/wtn40tRtNb9XjasQ5XHLisEaYSfDtZDBQ8/iwz/+YxSE8SAqGG3pS9Y+p713BNQsJt0WXuSxVcsBQGk+sS04Tt5Te+Iaksv4dKg0VZeXxVsa7TYr5g6dGeKuKxfj4ZGlic+ZZMeiGkuUI4BQZ/K4ZcWg1sxi2nGJ8PmddM4kgZsGmyHgzyizzLrRfXhix8GaBx3lCGfN76ozK3AGeiL0dHfVTJp7N+9ONbhysGJmMGmj/DjZTKGbiP2FCKenZ/CJ8n+vvizewQdwZMW/w6/f9K/rjh8dG8cXv79PqcnK8JeHy33gxwL12pZp/EmJcoRNt8WLxfSisqETuqNj47hvyx7ly4YAPLpquXKhmsaieyG0C9U6SWoz9vGLyIharg3ZDi4KfNc5NthfwJGJYlMCp3V2en7dZrzgzxjhPjo2rhVGXGjWaQl5AhhQmqnVEuZHOe3LIAkuGkN/IcLuB6+p+9xVK+GoJpKLRqrCVaOWrym+mEyT3vc6QGzSevT2eLewevNup7+RsQkf21xSLdQL739e+R3yRHjjkesTjVM3Np2W7KpB64RqEiHks2MRx9ffEzW8xlzmlsjdVy62vgxyFJtKbXClcWKyZF3bzfJnnDE2903bDmgfNLfRzuvKVQXcQE8ExlA3yYulMuZ15RDlqWZraKO/EIEIygl7bkVj0BHlCOtvulT5u75C5KzdALHdb3RsvGZRu9gkVbgK3PGJYtUXANSaaHhEEkN8z987NV33MrWZoUQYi89PCfQv2eykE4YjQ4PaF4fuOerule5z8QXIX26DFpOGya4PwMnmPzo2rp1P/Dn6jEl3P+TP5bGnoTz5zoCnd41b55qLYAeA3nldNfZ0k4mwXf4MTuaFu0l49hWiOs31VGlG+4BPFEt4dNVyZZSIjGxKUdkzxcUik6dZM4PM6Ng4Tk5N131uMzXJi9p0b9KCC5P5Ua7uvjLE3/PBG+MXmEqgDp+/wOl+A0j0olLtLkzCcNDR8ciFtOm64nFHJop1oXR8XpgEss7EJToK5fuicgKbxsrnqsuYOK4OWh8Fw1excqVYKmP7a0fxyM1LGzYZThRLWPPUHgDxfVlz7cVY89SeGsUFiL8LV3raRXbLD1ToK6irKvLoFNXEz2tCX87tL2BkaBBjD1yDx1Ytj803ElGO8Niq5Xh57cerk35kaDB2dFYmtrhtVAn2QpQ3xk9v2nZAOclV45G/m7iI09AcClHeekyxVNYK5zJjVSGx5tqLq7uZTdsOVHca/H6L9y+NsRaiPK66ZCFWbnwJS9Y+hwvvfx6rN+/WCkMAuOqShcpzi5/zF4ROSBSiPNZce3HNcQyxYNAJL/nZ2a4BxC9vVw3a9KLXiVN5TCJrrr1Yeb9lgeaqYPREOWy6dVl1DuhIOjeOTBQxMjSYig28NMOwfut+APHa33TbMvQLcmigJ2qaM9WHTGvuOg0XiKMAntA4MsuM1UV1yBNTJ2DPmt+lDB3k2plJU59hzCnbUregJ0szmCzNKH/HERfTkg80FiEgJiOZdiE2iqUyHnpmf82uSdYM+f8Ai3OTKoldEjz8zJRxaBo7v2/bXzuq/L34uUkb5U70JBqi+OxcNN4cEd5fUO/k5Bd70mgRnXDmz8pm63e97rwoX50DJlNHIcqhNMO8Nfy0TSSiiUucu3OJTAt3nQAmAp7YcdCYqPBri/vw1rvFGkGwadsB3Lt5t3FCTkgLSd7m6643w5jVuTI6Nl7d8iWFT+J1o/vw8hvJM1n5y06euLqFx6N4dAJJJYB0MeT8Z1U0xi0rBrH51UN1GancDiqP1dUkwO+biyZs0kZPnp6uG58rogByEYhlxvDeqek6c4ZKg04aDWYSivx+c+Xm3s27sWnbgRoh73rd45MlrNz4UtV8pTPRTJZmEOXI2QEKxLvtyalpXLD2ubbbwVtJps0yukXGWLzVNGlqL79xDFddshBvbrwBa669GE/vGq9un00LSzYDudoUXSbVpm0H6mx3PojmAN2uxYXB/oI2qkS1HQeAqelyIpu4STPkpi4SxvTwyNLq9p1/rtsCu5oERGGoe07i56ZnaTK9uI4BgNZ0KFOaYejt7qqaM3gCGTd7cUaGBr0FuygUV258qeZ8HNn0xHdk4rE93XbTHrf7c/MVWLwbU1GaYWCV8ZnOB8RKR5kxHJ8sWdd23TlIPwbd53OJTGvujSYmPPnKoVhYeDh95DXnIkBUmpSKJA5Qlbln5caXEsf05omMZqORoUHsfPtYXby0yVzESw+oojVcNEPXz1Xnts0PAnDLisEaTVO1YxCfn+oYV0SnuCkyxcf8daJYwvqbLq1zFK/evBtf/P4+RPkcThRLxhBCPhb+30KUQ7E0U91x6RysqrWjywrVoRpXaYahpzsOOVSNmTEAuVh4nyiW0FeJWuMhivx+Ln/oRWcNX3WNB2+8VFm7iAcJzGUyLdwbWWRAvIBMNm4VslnGlILPF0uxVMZ9W/Zg9ebdxhAz35eVLm7b5SUx0BMpI4dEB6hOgG5/7ajXy6O3u6tO+PDxNzOiwGV+MNTa011syeIxPs/LFl4oH+t67nP7C1oFJU5es68P8SUDAPcqQkJVZjSTGcukNHGzismPY/v+pTJD77wuZZ4IxxROzJObdObbwUqABeBXFmGukGnhzm+wayidDAE18cIuyJqmTtOT42rFELPVm3dj/db91Rh3MVTOx5aoM53YXhKFKF/VPFSOS1s9Fd8dxoliqS2LxHV+yN/HZWfg4vwTudszzd8n+Y7btRtFDGu15Y5wdElJ/T2RcZ7wr9BojRdVfocrYhE6VTkE0U6fFYEukmmbO+eUJYJkXpf6a/Z0u9dB4ciaps42vP21o8ZzTxRLWL15N1Zv3l1ja8wToSeaHa/O9CpqFaox6qyReaKasgG6xWVamL5OKX48D0V7tFKX5t7Nu+tsuaNj41i58SWjndcHHmp595WLtccwAL/6xy9gaMOLyuuaxqTzQcjoonBM45bn1aZbl2HTbcvq5hov4pYGprBWoP7Z62TzqVK5Zc5L2cYv4mIzl+91fyECKomJOj9CFnAqP0BE1wH4CoA8gK8zxjZqjrsVwFMAfp0xZqwtkEb5AVPInExvdx6TU+VqYs2dVyyqsxvb0JUKUOFbPkBELm2r0uBU5XNFdDVPeJ0Um7nClJLuU9ZANh2Z6psA6ggZVclWW61uU0ikC6KfQFXfRPxOuvLIIs0urZu01IQPqho7pnl+95WLve97Ukw1g3T1/nXKUdLSCq3S8FMrP0BEeQBfBfAJAIcBvEpEWxljP5GOex+AzwF4JdmQ/eCT2XVbd3KqXFfsykf4FqK8tlSAikacvbLWLGZ/9kQ5ZflcoNZGbsq0tDmQCfpkHvE6Yr0QxmLzi/hvOcRUt4V3ybYE3NPs5eNshdtUiPdYniey2WpkaBAPPbPfeD6dFpuWcOB/s37rfq+yFSp6ohwYass28wqSPnHsz+55B4/cvNRZAbPRbyjJ0Wg8Psfkg5M/n+vlnq2aOxF9BMB6xti1lZ/vBwDG2CPScY8B+BsA/xbAv2225p607KstHluFjyOM04gmxTUEn24xtjR7IFnVx0Ymqc89MEVymAqwifeqGdUodXAt1uWaYkVLEd0zumXFIJ7b+071RdhfiLD+Jvf64OtG91UbnhABha448sW1XlGUA86aH9Vc/3eWnaMsvTs6Nm4s5MZLQ6tS9H3g81F3v3VF7Fxfmi67LyD+Pra6Ms3u4OWqubvY3AcBiJ0hDlc+Ey82BGARY+xZr1E2gMkmbIoQniiWvATuQE9UU2rAlbqSBI5502IEiUrDdnV06XwBrvZZU+q5Kz4hproyEvx3pqgMl1T9tOnviZyvqcpqBvRhhN/acbBGyPB6Ji4239GxcTy9a7yqKcc5H4RHVy3H7gevsab3A0Bppjbp7J9PlbD5R4fqYtnXje6zzhG+w9l02zIUIj8XH18y4tx1KXvgEnsvwo93Ccr4/Obd1fOYisnNBRu9S7SMSixVZQwR5QA8CuDT1hMR3QPgHgBYvFjv4HLBFIL45duXpabFyaGPPshRF6Nj48ptM9da5R2Cz/hVAlsX9eEaQmp6gbpoRq5RNXKXqrrfk7lQVdLql0mJ8qSNv1YhziHxvvnosaUZVhWkpvtuijvnwtF3RznD4gxr+ZwuPis+B+RsVl1ZaP5ZvxC3LuJiZrHdAxmf+TOD2PTFlSRbBy/bWJuJi3A/DGCR8PN5AI4IP78PwIcB/JDiFfpBAFuJ6CbZNMMYexzA40Bslmlg3NoQRNGUoPq9b832ND3+8gQ3PfDRsXHnutW6eHFTaVtgdtLp4nz7ClE1JVzeirvYGl39Dr9x4QL8naFUwsRkCQ/eqI6Td2mGkia8fLHP5OVzqFGnJ7/PpvtuK5+QNEZfhcs9kNePXENINT9V8+veSmQZV4BMBcBci6nZPtcxUSxh3eg+64tyfKJYY45qtU3eRbi/CuAiIroAwDiAOwB8iv+SMXYCwNn8ZyL6IRxs7o1ie4Orfn/VJQvx7B73pti2JJukzjB5bPwNL2sfLouHhzbK15WjUmyFuuRJmkM8iUXHLY/P11XblDUj17oiPz54wtjEgVfrBGqduKcqJgwTvo0dVMldYju6lRtf8s6p4M7pRncYqt608n13KcUrPvuhDS+m2qBGxLZ+dDtLkznSRUD69otNEvzA553NYSz7GWw5JGliFe6MsWki+kMA2xCHQn6DMbafiDYA2MkY29rsQeowJZskDYfTmUhU53f1lNvGovpb18lWZqzO9KNzDJkmltjQpCfKacsJmBxy3P4tfleulZsEbLVRSo6MdbHFnU987/X5DWJklHg/ClEO86O8VqBNTJaqjlLVSzuJtstj3F01RFXRLNW94YhjcimfIKLaETWCa/VTE7b7ZBOQvvcgaaY7L18CuJVZ4LTKN+SUocoYex7A89JnD2iO/Vjjw/JHbuUldv7xCYfjgt1W99nVrqd6CahsleLf+phkqHIN1XZWha1TDmCuE2OCOxnF73rs5BTuqrQ5M9mZeaMU0Seh6yLvogGLsfFikluxNINTpRntC4zvEnTx8747AWD2nrtoiFypEF9IPFrm81t2K7OXxfpZvqF/8vF9hQi/OD2NskNkiy3+34Zu5+tyn3j3KNddu889kOWHDq6t8793bf/oWhSuUTJdfoCTdisvleYgT0Td5JP/NknEi08MPgOM5hKZ/p5kVS1tFKI8GFOba7a/drT6stSFj5mEqoxNs5Nrgqju/2RpBjnEDjLxO5jMCL65ERxuDrBpiFQ5RhY2vfPiZaqTNfLnrvdRd7xLWKDYqDqJs9C083XRpMXuUaqdbyP3wNX0JgrpkaFBZz9GGjH/LnSEcE87WkIMy1NNdNMDFO16vkXJbDXFTbgmrrx3arqmFkfSVnz9hQi987pqFrauvsn4RBFL1j6e1PnOAAAgAElEQVSnLRIV5fxakplerlxAcoz1TTBbVdBFOJnO9Zi06+CILwybhscqx+gciq6YHJUu2iwXdLp4+TSiPkw7X64I6KJqVLsneefbSISK65q484pFNT+7mndcwlHToCOEe9q9Qk9OTVdjVH1saeJC5gvUFbmmeLPscrxFmM0BZ0OVVGPTXLQai+cudc21F1sFJMeWuCNXFTQJBlMilSkSCkCNCYGX05XJE+GCtc8po5dsuh5/Yesc6TvfPmb188jn08XLp+EMdM0CJaCunK/pb9PIGrWtCV6+RC4EpzJxiT1zgeZXQhXpiMJhPuGKfCvF/6uq918qxzHFLjsCOUkIiBeyqlenCdFWqUvUuPvKxU5FqmxMFEvVl5epyJgvrkW0ZPj9dsHWmFosCGVqw8gRFQNb8ovq+/FSDby4GNewH6302d359jHcKxSHG58oah3BZcasTWZ08OYcOn/Ok68cMpZ2UJ1Pdfx9W/Y0XNTN9Hd5ImXv2VOlmeo91Wm+hNh57vM9VejW32OrluOtjTfgjUeud67wKTYUGeiJGs769qEjNHfX7ZDK4XOBpsCW625ATH1fvXl3IofbQE9U98DF6BXZsWhyDnNziU0b51vYkaFBZ0eQyH1b9mDn28fqbK48Rdw3Scflfrs4jEWzk64No4jog7A5yUeG6huVMACbXz2EzT86VBfP/NTOgw21OvRhfKKI+7bs0d5z3+qfpuxLfj2b5q/bAZkEbZkx7XNYXWnjd9UlC5UvMQa9v81nd+/rkOXI81PeMdqq16ZNRwh3ftNN8aa60EZbTKxJSPZ25+seaBJXiSiQVFUTxUlhKx3La4DYECe7T2MITpmxmpcMX+y3rJi9vz4NtV0Ka5l64nJ4JufI0KDTgua9O9dce7H2ePHeqBqVqF4gxVK5ZYKdY7o3umeRq5iCXE1QIrqQRJtpxPRceAMNHeMTRTy9a9x7nfX3qBPydLg6ZH3mZytj3IEOMcsA8cOQU6RFTp6eVtYPN9WqsNnGonzOy5mr6/nIBZJpW821HdPE7+3OV3vB2hCF6VWXLFSaZvoLEXod+l+K43xix8HqdtpVsPPIB/nZrBvdV2PScD2fGHroAhc+uvo2PNxUPHfWuPOKRUqTGTcFuZigVKhCa+/bssdoGtE9F+4Mtz23YqmsDSfsL0R1447yhPdOTTvXmnFFNh+5zM9Wzp+OEe5AfZifyERRXXh/ZEhfYGtkaDAu3K/hRLHk9bBMcbM8U1V3xLiDwIryOacXjez41WlCE8USpqZn4g5AjqjOI/s5Bnqi6n0VzVjis9G96FwQQw9dfQDFUhlE+kJKNsGUNtzHkkZkRT5HGD5/Qc08VwlHUQDL60InTOXoMFMZbv4C5xEwImJJYZfnFvd5rVfK1t90ad167u3u0maKNkKSKL1WzR+gQ8wyQDyx3jtldp5xiqVyTcSIaQu2/qZLtSn0LqYbV861bEe59rjm2ovrmg8As+UCTH+vyry1TdDSDEN/IcIvTk0njs/VNYFWxbyLiy7J1XxCD2VcWvE12rcXAFZeuAA7fnZcez/lEr9Jy1tzypWdoRxiqEKcg7YSFXLkh0ufAH5dBv2cFOembpz8b+TMb/FnHtnTqF9Nh+/f+4b8NkqmNXex/dl9W/zqRYsRIyZGhgZx15WL6zQNXrRq0hKN4YLLdpRrjyNDg+jtrn8n21w1YuatKGBdJuiJYglfvn2ZVZsy6feqrbAppM00rjxRVSvj2q286+KMDA2mov2KrQJdNFodd1+5GE989iPK+0mV3+9+8Jq6Gj06k54rrqWRdXPQtMMVr6FDFWigm5P8ei+v/TgeW7Vcazblx7y58QasufbiqklS3qGbaso0gu7vtXOiNYmpVTKrucuaRNLwMVEz0SV+cCcad0oNetSqsSF3uDFphXzxnEjYaUe1+FwcZ3LhLl1iyW9cuAA/PnhCO37ZoaRz8uWJ8MG++cpxEeDdCKFRbVvWUGWN1qcRBQ+h847IUAgG3jqSa63bXzuqfZYupZGTFvoSr6Erw+0TrSOuxb5CBBJmmk9JCh66eecVi+rWqq3bmAumyrSqXQcP+Q0OVQtpZKXyiaWKb17z3T340B+/UG1gDcQvEL61VMUNy9iUuv5ChP6eCN/acRAX3v88Vm/ejVPT+nNyj3/S5GWVpmGzb8pmDh5nrNLC3nq3WNOgRIW4mHULvsyYNqZc1erNhqx1uqLTUOVznzXfTUeS74uoeZoawuhCOienyrir0vj7iUrkkioXgj9DW5SKb10YuWm4Ljjhy7cv084JeU6qYtzFGkDvnZ7G+q3762LtTaGbT+8ax68t7qt59gzA07vGG3KqmnYzaZUXboTMau5p3CQ+sVQvilKZKRcU/8S2U4hyhFWXL8LmVw8pK/yturxWmxAzAZXnq3j8dXZhW3y9TitTFU0Se6D6NOE4MlGsanemGjIcXQimWBtGTOnv74kwfP4Cw7fUI9cOse1W5GbQprhtl4Yuqvvvmiavu98MqMtGfXrXuLbmi86G7VIoTx63XKd8zVN7sOm2ZTV5DvJ3cqnUaPUBafoHmzKRi6UydvzsuLUXbhJ0uxnfssPNILPC3bQF5CVHxa2qqoIdn1hpv00JwKrL4/Tk4fMXKCv8+e48pstMK7x1ZiLX8sU+RZZGx8a18bzixHUpu+pyzOnpWa3t+GQplWYHLmYaXpCNJ82YUvdd0tVlrdgnTd5U614lsMRCbbbvnSQdfv3W/XVmKF7WQvYXcFzNUL5rkQto2y7ZN4nLhMtLOa173QiZFe66Djyqmg+A+YG4Ng52hSHOIt3+2lFcdclC9HR3Veti8Ov6FILi51RBQHUhD5+/oKktvUyhbrIN02Ux84xPXpwqT4RbVszWaFElpZm0LZ/CWACcGiKbSjTziCvTy0JXBldnI37omf11ESCuUWAc0dwo3w+TZu2Kbq3oPhdb6+UptqCfPD2Nh57Zj3s37/Yu96v7vknw1aRHx8Zx31N7qiWReRObh57ZX+MLSJrlmiaZFe66LEzd5ybttFnlleU68qJ2llZxMF2HnWZg2m1wE8G3dhys2SmYxiMXp+L2UQA1n8vonHC+BaNchabuxcojrmRns+h49zW1HJ8sVV84uheLjf6eSHs/Hrl5qZcJplF0gQ/ii0Au9+vSvUskaUhyEk36i9/fp6x1r9pVNns92sisQzVNh0Wz2oyp4Jpn0iJbIq3e5tnurSoZycT6reoiTzZntUrbMtWF0V3bJ3RWh5j08/Laj1cLS71VcZICqHM86r6DCtMIeyL18mXM/374MKBJFlR97mp+FHdkqtBjHWI2uU+4qK49pY2TU/rvwqNzGs18TYvMCveksasqL3+rOqNwuIbxyM1LjRmwKnLkFsXRDHy2sDpBwu//krXPabfxJme17oXm+7JPywxneuGZqkyuufZir8xfmcH+gra6pClzOg3/0oM3Xlo39ihPePDGSxu6Ho/FF0OPAf3OOkeoySbfdNuymvWkewkBwIzUnjItyoylUtogDTJrltFlappiV3Vb1aSZlz6FsWR4kS3RYQjMOkEHeuImErJymSfCJs84bxVJGhr4xou7tPRTYYp/F9vniePX+U34C0k+3kQhytc5wghM25ZPh60hhaq5hwv8BaeLfjGZKdKI1vCxJ/uYH+U2jbzEgG6+zLDY6b168+5qoAKvzc+ft6nperPgGjzQmOO/UTKruQNAWRGq+OSPDmH5Qy8qa07rFlsSzb0Q5bXFmFzQmR94dMvYA9fg/fPrNQ9eZKwRbHXLdYhxvYA94U5eQK5bdNV95fHSXLDL4z85NV23LedCUHW8Dl5zW45d/tLNlym1VZNZzKY9uyajFaKcMpbaVvRO9zsV60b34cL7n8eStc/hwvufx7pRc6MZfn0uvO/bsgdLFGvOx/w4USwp16fr3655ak+1LpEpE7cV5sy5oMFnVnPftO2AMuW+PKOOgzUlFrho373defT3dM9mzVHsQOzviRInU9kchrrFr/sertq4qaGBTdOQszN1ZZbldneAm8NroCeqhpCa6oGr8hIGKjH6/PnPr9ikXV8q3LSgcoSNjo0r8+d3vn3MOwqLv/RctdpTpRmlE1SXo8AjUFx7nK4b3Vfj+BfLOeuaUugcpfKa0zmb+wsRpqbLNbuhRluLioqP7nnbwoJN+DZIb3WJX5nMCnfXrZ54gxuJUJmanqkKq7SacevMD7bFr9pSukaLjI6Np9LQgJ9XF9LJFNe1UYjyuOGyc2rqbqvaupkiTUQtkUcwuAh2vq0HoKz7vWnbAWVst6qlHUfVBUosHuVq5tLVXAdmBajq+T+9a9zJL/PkK4eUn39rx0E8+cohZXix6YUpCzVd1MjKjS9hMuUcE1t9m0YihUxVW5OMp9lk1izjY0oRK/q5bBFVZ+ZaQRplDwC9WUfcMvpsrV2jI0wmnSR2SN3fcNMNd6DaKjMOVjRNXfEnl2vmiRKb3SaKJTz0zH6seWpPbRmKp/ZgaMOLWqVAl/WoKxlw1vyuGqEnmoAGeiJlxIeu5rpII9Expp0r1+JlM41NSXIRas0QfOf2F5pWKCzJeFuZkSqTWc3dx5EpVvQDzB2bAP22K63JyLeGAPD9H88uVAKqSTzieMUtrVxz2zY2OaHFtCht6fE841fUanXa58nT01g3us+puBpPfx/a8KK2+JOY7KJLYDPVqjE55jiqHU1phnnvzkzzRC5VIGu1ts4+uq2+6/NXmWhcAgO+teMgnthxsDoPbOYJXeMTcSy6v+dZ5kmsNKrdNVCvFLnMbfke63bSunvR6lBlGWKNGroSMjw8zHbu3Jn4711rXKsyBJdo6jtzdJN9sL+AySl9fRcbRMCbj9wAoFKfQxHtE+UIm26bdRzqqjBGeUJvd1e1BoxuXPxFYtv+9xeimkgDl+xNfm8Bdbani32S13AB3OquF6I85nXllLZs03O76pKF1UzYtEjSLzdP5FzV8oK1zynPTwDe3HhDzWe69aB7/uK6kG3uNly+d5QnbLq1/nvaIqbEcSWpY99fiKPMuF9Mzgx3GYM8Dtexi/g8Z1+IaBdjbNh2XGbNMjqTha2+N2A26ZjMJUlSwUUYQzWaQLdtF1vuiR5/+UheQIlv1987NV0XzSGGzLlUsBQjDVxeYKIW2aOoMe8i+HiVR9cIoGKpbIyPV0W08NowaQr2wf4C7lJUYLThE0XhY14wmfBsJpuHR5bi7isXO5s6Xe4iL28rY5qL8npNkujH18REsYT3Tk3j0VXL6ypuuqwHlUmLm9FcclPKjCnberaSzJplGqndYFrk87pyGD5/gTJaQ+VUU2Ha5vJaFCZ4yz0f2z7vmNQ7r6vufrjUsTk+WXLuWCSPVfyvL9xRl4bJqyfK1b8wGfDc3ndS8ZNwxCqKfJ74aJjiS9FkHugrRIjyVPOdXKt7ujx/8Z4/PLIUD48s9dbiTaieqe45q5ydslnSF17MLGlxMtVxXBFxyU8Q/ST8b1tJZoU74F/NkE98k/CdKJaqtS0GpWgNFyFZiPK4ZcWgstSvK0mjek4US1XTShrnc8EW2WPawos1vn3G2Nudx9T0TN2LVpVklMRmbkKMnXdNilIhdkYSI1xEwTpRLCHKEQZ6IqV5QSaN8rP8ZWszYbmYZuT+qiY7u6kDVFITDaDORHada7x/gvyyTFq5stXCPbM2dx98bGUyLjZAscxwNdLFozuPCK/1nkR7kutym2z2aSDeG12PzVtWDOLZPe/ULbIoT+jKUTWFXiewVfQXIpTKM8Y6Hy74ZhjzLkCAuWOWC/zF5iJkfOutA7XKTH9PhPdOTdfcW9dy0KbnyncYqvNz8kS48pcHjB26RN+Nbieu81G58Jbkn3DpnhXlCWD1Te3lXAofGomxF3G1uWdac9cha1UnT08nXojiW9fmmOKs3PhSIsHeX4jwO8vOwZM/Uscdm1BFA4hjZahd0L6OYT42XUSBySzw8MjSOmFzYrJUs1BPTpWRz1HVIWa6e74Lq78Q4fT0jPa56RyXQHzP5O+6cuNLDQl2/qxcyz77aorrRvfVxN8fnywhysf3dqJYqnnR28wGNvOnmOavelmWGcPLbxzTjlWMHLPmaSTQTlT1ZUaGBo0BA4MVmaGaZ/xeRjlSvixNtNpE4yTcieg6AF8BkAfwdcbYRun3nwfwuwCmARwF8K8YY2+nPFYnVFvdRuGLy9XO77MYZa3s0gf+q7KkqAlVhTuVzZ7XrHl57ceddzM5Av7j7fWJRCpMZjLxdys3vqRcWOUZht55Xdj94DUY2vCidvGZNG5VUxaenKR7brptuk5j9hW2hSiHBb3znDsjyfiYfUbHxpVlgkvl+N72zuuqu6ZsNlCFTaruQ6N9jEU7u+qFKY7L1d8lks+pi5kB+u5ZfEwXGCLqeDZ0T/esfytJUmWzsQp3IsoD+CqATwA4DOBVItrKGPuJcNgYgGHG2CQR/T6APwWwqhkDNmFKh28El8UlLggfGwjXWnj4YRJTg6rCnSmLk3vv53XlrMJ9htWWtU0Dk3Dkv7vhsnOUpilZY5K568rF1t2FjG/XHJ/FrGvWobuuCp9Gzia7tmnMcj9hkwbtkjPhgriubHH6SRzud16+SPvMbX4I2zOemCxh7IFZ/5aPT6BVWasumvvlAF5njP0MAIjoOwA+CaAq3Blj24XjdwC4O81BumDqEuQC1wZN7fh0E3/n28dqk3U8h9CITwBQv3xMk/OhZ/bjVGnG+Xq8Yfj6rfuNvVVFTEkzprGd21+oNvGQ6Yly+NLNl2mrKfYXIm0tFBO+kVemhhKyRmdzgIrX1bUv1DWgUZFUcJj6CRdLZW3LwUYQX1omYWtq7WjCdN9sL3Tbi1decz4VU1uVteoi3AcBiEbgwwCuMBz/GQAvNDIoV2zZfK7IjkGfglW8umPSa9sKHbmMXaVhrrn2Ym1oY5LoEbkxsaq1GMem/a259mKlQ4tXWdSFgQ70zgOgrtkCAL+z7Bzv78WRBa1ptzIyFLcHlM0fhShfvR98Ht1bEYqmln/8c50pwEdgJ20ZefL0tNH3ACTvDKXjyVcO1WS9yi8Nnluy5qlku3HTfXPN/lYpEqo15xO22aqsVZckJlVmg/JOE9HdAIYBbNL8/h4i2klEO48edddGVMhlXJMKV17iVdy681KmfJFzM0YjVSV1HJkoJtK2bA07RoYGvRuB+MILc8lJGqaqk3xsqsYKm25dBkBvPuDPQxcx8fSu8Woilqr7kQlVWeB7N+9WlrEF4pDBR1ctVybM2Uoq68aXRk2UpH1nJixObE6aBk+xZs7Tu8Zxy4rBuvv57J53tGa4gZ4IBH1Sou2+8bVeiPJ1VS15+8TdD16DxzTPWXW+l9d+3JgMNtATtSwk0hoKSUQfAbCeMXZt5ef7AYAx9oh03G8B+H8B/CZj7Oe2C7eq/IAN2SaqM5H0ducR5f3S3l3wCYkT/8YlNK6R8DEfxPGMjo1rdwy81ADXjuUUcduWf7DywjV9G1tkjA7bfHI5h+1cvAyCSuO/ZcUgntv7Tt2uyue6gL5kQRZQzWtTqRBCvFORSwcD7vfNNbzZRyDrEsF8ghNMpFl+4FUAFxHRBUTUDeAOAFuliw0B+EsAN7kI9jRIyykhpxnrTAInp8r4xWl1Qwhb046Bngh3K1LVTY0VdPgWI5rWCPY0GwuKz8JURoB32uEa7UQxbgbNtbcndhw0mqeuumShVRvTNXywlTewzSef/qO6c/EkJVUlySd2HKwT7P2FyEuwA+2tQtgovmuazyFZsPd2x/WHXNL/TbtxWyVOHQ+PLMXKCxfUfd7qdp5WmztjbJqI/hDANsShkN9gjO0nog0AdjLGtiI2w5wF4CmKv8BBxthNTRx3qlmX4xNFrNz4Eq66ZKHxnOUZhvdrHGZiGrrslD1VmtGWNJDDF8WmC7YCSCbu+trfG+OLGcw7DrGUgSlJBYjrja8b3Yftrx013j/GzL4Fm8a5/bWj3q3+OPwZ8/sn+1b6eyKrL8JV+CSZm6rv3jsvXp6qLEkdqvsT5QnTZXWVxWYktyVFldGahMmpMhjMfQ3Ea9qelUv4oiq3RobXjZozZplm0ahZRpc5l2YNERWqinwipi15I40CfHCpD2Ja1LqKeEl7fgKoJtA0Ar/3jYyFm0Bk809U6TxuMmEN9EQ14W86VHMzqRBV9XO1afOqoABddI/qGu2Am+x02c6Nolt/rtcyrXuf8drkhwsdXxWSV2iTHR2Dmm1ptZN6g9e1bXt9us77OP58jtV11uHY6r2ohIfoXPLdXhaiPH5n2Tmp3nuu1fpSLJXxxCv15p/SDENvd5d2/gDACSFHwIRqbiYR7LrmI6st5gbu2Htz4w3VioimpiryWFVZnc2GVwcF3Nsi+qBblyNDg7hlxaB3P2ARn/G20myW6fIDuoxIW+3qRkIXbQklrkWaXNvi+R4LmKN3bNmdLrsL33s3P8rh2T3vONV2N2mXYrPrRha/bvhi4bVf/eMXqnVvODOAssqgCnFu2pLrVl64oK72CsF8n01tFFWmP1Nct7yOXGqvpImcn9CIP003h/j6U92f7a8dNc5Nm5/LJ6Gtlc07Mi3cVZgSUnhyTCOhi7rECFORLlXdF9ViF5NFXOLruaCRJ6xJSH759mXaWFybVsEFqy82Wzav32JaJLesMNcDSQPx+8uCneNrCjIl1xFijZWX2hWjaMRaQDpEJ69q7qleAC6JWqoY797ufMOF2nTI99THZ0GIHfW2iKvxiSIuuP85EOKsa/6ZTVFQFftyXW9EwLl9Be+S5GnRccId0Gv0aWz3dOYVuUiXyPwoV3esj1am02QmiqW6VnbjE0Xkc6SsT3PRL/U6v4D4WMVJPDmVvACbDtEWqvNXEIAnf3TIu+aOD83SqnRzTu7Uo9IeXQS83B9AFYnDnXim2j8c+Zmvv2k2Sc1U76cRuJkvaVkD2Q+iq7HPmPr+mDp4yTtZn9pVbXJnVsm0cDdlk6pII3xS7kQP2Huy8mQfwP0FIy5KkyajMjGVZxh6u/M4VZpBmTFl2VVRcPRXYoVXb96N1Zt3Y6Anwg2XnVP30jDRE+WU9dRNyAJVFQPOx5q2YLeVCRgwRM+IUTc2dHNOrgekO45X8WwkMsx13pvMfzrSiLYpM5bY3Navqfo4MjSIC+9/3mmXruqx69OIXgdhdt20o2lHZoW7rx0a8Nvu5SjWKGS7o5jJtuapPQC52aC5sPZZpHxRmkoJ6K49OVWu8cqrqu5xwX7ydG2Y4/HJklc9eZ5c5IqqjC43mSWNKMkRnM0GBCjLJog8eOOl2gQwn4Xq6oOxVaZsxNfg6sTTmf90tYh4Geg0as3cu2V3Ik33vVPT1WxSGVfzKze9uCiKPvPctItqBZmNltFNxPu27NFGlPgkC81UVNv+gj7FuTTDvLI/eRcoV/iiHBka9I5gkBe0ybTTiOOMazg+UQBiFAcnqcmMCHjk5qWI8u5TmcEulEeGBrHp1mXa6Bnu87BFMKnmHNfoxL8x9UDl4zFFg+lwNTeNjo1rFY/jk/WJYUAcsfTwyNK6aBtVwp6NpCYMHjuuwmWtiU5lOcJIhWqn4EOrKkICGRbuSTLL+AJxrbnCa2C/ufEGzKRgQDu3v+CsTRBqCww9eOOlzgsmylO1EBQXIGmFYPUXImWdDdcXp27BJZ30ffPjWh0nPBydrgKSL3idiJgolrT1Y8RzyEJZdHiueWpPVfNUhfaKQoaPx3X8rhmuSR3lYp8DUTBygZ9GRqbLKXRz584rFik/74ly1joxOhoVAyEU0oGkmWUjQ+4NboHZiePrwe/SNDZ2Mc3wKAp53ACMTax55MB7p6ZrKjjyBBZf+6iu8YUpwsL2/a785QHl50kzjieKJVx4//PO3yuJ49R1bLptN7cBL3/oxbp5JzZxdnF4Au7lZXvnddWYvWSzA5C8+TRgDi/k1204mYvZE+B0AvPhkaV48+h7NZnaKy9cgCc++xGfEdTgo0S4BC00k8xq7q6aovhW54lAPpOZTxzV9aIcxb0WBQpRPi6OVdnS+2q4Az0RHl21XFmXfGRoUKu1DfYX8ObGG9DT3VVnZmHSf12I8oS7rlzsVA1PHJ9Ns/zxwRPO5gtXfEJbfTU1wG9sph2ITkD5hlfKWr5tLKoqlWue2oM1393TkKP25OlprBvdp62med+WPdVoFCCeQ3d5mmwY4hLPOkEV5UgrMEfHxvHjgydqPhPnX5Lqoa6adyHKe6+ftMms5i7H7erquYvaha9DSrZ5itfjGsrOt49VI1YIsSNW1q7HJ4o1dsH50WwHJNdGxRxbk4G0bHqrfn1RosYXtjGYtFug/v4CSC2+fbC/kGhxqcam60HbqE3WZ0x8XKodAWBuwJFGgtJEsaSNbgJmX7o8GkVVh8mFUpkhp1H5z5rfpX2mOr/cpm0H6urxuzrJdb0IRNJqhN0omRXuQH0WoGoLyDNKfR12eSLcsmJQmSQk1sAQk6JiLUN9DTG6RjTXzJc6v9+7ebdTgkmSLkc+PLvnncTC3TYGUyq4Kjv3lCLE0rZVdw1tc0WZxamIpjFFb+jCKxtJ9x8dG1c2LxE12mY68VxfETzqRjQ/+ShcOlnKe6H61BvSNR1xiWbhv9PV6mllDSkbmRbuIiND9d1xGOIGDsPnL/Ce4GXGsPnVuEaLHO/tG7POUb3tVaFmLh3pdRMwadVEmSSZmK6Ly8eppLvHvfO68ItT08rdGm8Y7pMD4cvI0KDy+4qV/2Sl4IbLzsHmVw/VvBCifNzE2Tdng6NrXiJqtGlWUG2E45Nx0h1XGlz9NIC+bAZvw+dbLkF3pIuc0PkTWm1Tt5FZm7sKVZYffxsn8VKXykxZZIqfMy2NSBVq5lM/XESOzpBtslGe6mrSNwpfXC6C3XcBmAqx6aIh7rxikXNoWyPonGvjE0WlnfuJHQex5AM9NVEkpTLDQ8/sxxsskBcAABK7SURBVJqn9lgjb1RoQ1yFHYKPv+juip0YSLfmP+eJHQfrIthMEUl8HKqeCWKQQlp1cFzlxMhQXHCMP0txpz9X6CjhbhIEa669ONFk1fnquIbVTI5UhISv04cvmMdWLUefopXdpttmnb26UDMiODcoMC2ugR516KSO0bFxLH/oRSxZ+xyWrH1OO75z+wt4eGQp7r5ycc0Cu7tSq6UV6J4/Ia7Lokoa++nPT9ZpoMcn63MNXKo/msYgfq4Ks9x02zKl0//hkaV4ee3H8dbGG2raCA70REphEeUJhcgvx0CltJjWEkOsuKna8JnKc/gihx+bGB0bx+ZXD9X4FTa/esirqUez6RizDGDOBlSZbRqhrxB5m0BUNcMLUdw1RqX19hUi7yxcjsqeqbNdnyiW6myajKHuWjrTgTFCZLLkVAOdn1/eXqveGaL2P3z+Amx/7SiOTBTxwb75GD6/vgNOs9DVSWfwN2vpsD1zm4OdozPl2ezL/PcrN76k9Bf0dnd5hQcCaiXMVnOe91lVKQdJzE6yf1YVfmzioWf215nD+C5srmjvHaO5j46NK7ufiBP94ZGluEvS9FZeuCBRI2mieo3IpMEQgFWXL1JqS+tvqk9QKkR5ENV3LuKZkTZMlSRFc8HxyXrBLh6/evNuDG14URvytm50n1XrWjfqliBj2gHkiZwaUfMxtYKRocGWdDEymehckp/SQPcCP1Esee9gVcePDA3irisXG3fXuvuw5tqLvU2N86NctcH2YCVIwmfHp4veambVUl86QnPXed0HeqKaGiJydEuZMfz44AnM6/J/x3Gbpqzd6DQIvrV8eES/8LhjiTdp0O0IJoolbUQGx1RuwBddrRmG2IZ615WLsflHh7SCmf+tvHjknYBJ+5phrK6DjeoFxsc0fP6CVAWcbtfSaFEvV0y7I9fkJxPi9xPbPPLvatoV63YPv7a4D3/3xjHnRJ6HR5ZawyS5qVJ+FptuW6Z16Ec5QndXriaSLS7pTNXIN9X9EENweR0dvkvMAh2huesiKnq6a2NgddpsEoGn0j5sD33cYEMXE5xcknJsztZWpTnzl9am25YZd0BydyiV1m3SvXzut2jXTeKzkDHtEGw2Wld9MsqT8f65Ps8k33fd6D7cu3l3zW5uojjbuHz15t04fvK0sjk8f8mJu4f+QoT5UQ5/98Yx9BWiGg3ZJRHO5B/jpkr5WazevBu987rw2KrleEzwFXD/Qn9Pd925dDsBHuYqauETxVjB4dfVkcQK0Cw6QnM3dZt3Oc6GaxqxTfskQp0N/d7Nu7Hz7WN4eGSpV2ilTVvUaVPzo1zqW8cjE8Wq9rhk7XPKY8QXlq5ZiWnRHDt5uqbU8sjQoLGpNdfwkvosRGw7BF3MvVhtkO/IeAlm8b/8OADK2PkoR7jqkoXWRtm2kr26BjYufqjJ0kz1BSRq9HwMutj1iWKpmrXtes83bTugbeatMlXKiUiP3Ly0Ltb8Xk3ZDpVM0IWX2ohyhPU3Xer9d82iIzR3U9SCmGqcS1DIyCeN2Jamzph6YvLwMJ/tvfjdVOhssTdcdo7zNVwR77+uWJTYkMHWrERFsTRTEya4bnQf3jtV72MRx2TKUPTBZGrbtO2A1mcitrgTd2T8v3IxOp1Q6e7K4eld49ZQSVc/i/j3OkGqQiykpwov5S/tRu+56X5PWBQT3bVcooo4vkogX1+rLl+ETdsONLRLTJOO0NxNUQv8QfsIFFmjctU4eESOTy10Ps71W/d7FVXi38012gGY9TmkibyLufOKRcrvz2PS0+iGVSyVjX1w+Zh8tDUTpr6zfNcC6LOGdd9Z1jh190WV9azKpvTxsyTN1eCmRd2uwXSfdMg29Bypo6TyRPhg33yrEqT6/VWXLFTOS1VPZJ/oG129fXlX3g46QnM3RS0cqdR18eme8sYj1+OtBMkvjQhPbuP0wXdhptVVXhW5wpFjz3MURxE9seOgtWhbIco7p+KbXtR8TDptLUdk1apE27XpWmLNfV3SlMtzEgtsuSLXhPf1syTN1XDdNYgwQKnNqvwZuuitMmO46pKFVj+G6j7qeh8/+cqhOk17zbUX1yV4qRAVG53p7ls7DmJow4tt0eI7QnMH9K3Izu336xLk47iq89inJDxdSbKY00AVuSLy8EicDKPSZrTNhIFqjR1TvDPH1PeSC1ZdHkKZMaPt3bXmiWvSi6smqGv3RmDaFoaiXd3Xz6KLdAGA7jxhSmN39tk1yGNd89QePPTM/mpD65On3fvyDvRETt26VPPC1P+Bj02eE6ZoGXl3Zvr+YpvNVsbAd4TmDpg72fiU6XTtWqOyYSYNiYvy5F08Kmld8jRopG2bbmF2VTQll9jxQpQ3pqNzuN9BpcmZ7MAuL2me9AIgUTcmFXwnJPpJblkxaHXuicJW5Wd58MZL6zTRKE/KSJfB/gIeW7Uc//Afrsdjq5ZrrykLM9c5UZphOD45G4njGqlWiPJKn5UKVclpl/GJc2JkaBBjD1yDtzbegLc23oDdD15Tzd5V7c5s509aTqQROka4m5I5XBYXLzblWqxJ5TRK2nlmeobhhsvOsY6x0USVRmqmc3xeKj47hVJ5tl2aqR68mCbvkrwzMjSo7aJlKlehQ0x6GT5/gdZRKY/hkZuXGrsK8Qqmsnln+2tHneqmjE8UccHa57B+635MKqpEauvyQm9S4nH8KnijeP5CS2Nuiag6frlkwurmZ5L+Dz6obPdpnTspxFJoH5eE4eFhtnPnzpZdj5tRdNo1AUZTg8gFa5/TapfyttqVQpTHLSsGtY7CtEqJiuYkXQ18EwM9UXVLbXM2+zZG4c9AV775roR1Y3Tj0N1T1+N9z2urXhjlqZrOz++vi4nKhKm8hcuccjFRFaSy1baa9zZU92FkaFB7v/NEmGGsLsRT13nKNPeTrDNXM15aa5iIdjHGhm3HdYzmboNr8Dp8mizotmBcw0hCsVTG9teO4su3L7OaG2R8EldELc23LywBNVtqW+VCnalMZ4Liz4BX3BMVXV6+OYljymSyU907W7NqW0cvU716XrRNRanMapKH7v/evprCb0kwJemNTxSxbnSfce7IO2KdiWv91v11wtSn728NDHX3wbQ7eN/8Ljy6anl116EzmwKozv0k60yHq6/NRbtPk44Q7q7CzWTz8pFzpsXfiMOEh9X51ArRTeRGWoYRoc5Gq3KE2uyIPjZgIH5xLKk8w2f3vON9Pd9xANAKAd0zEO+3DpP91aXELadYKoMIynK9POuzUcSsS7Fht2rMJoVA1SwcqL2P/YXIGoWSJ1JWyBR9CrJyMFEs1cx5l/yGNGvyuJpbdBE7zSLz0TI+WYimh+BT2c4W16yL3DHFSwO1YXU+2Xy6iWw7hy66QrXF1gkz8XNd/RXVOEyNPZJ0cbKhGsfKjS9p750uDNampUU5wuTUdF02rYxrBM3EZCnuyauZay6mr4GeqKYZjInSDMO9W+L8gEbGrbuPonlUlfmtGyN/7iNDcYN72dwjznlXX0oaNXkA93vSapu7k3AnousAfAVAHsDXGWMbpd/PA/BXAFYAeBfAKsbYW+kOVY2PcDM9BO4gMqV2ywtMZz8zCU2d3V8XVmfr0OMykW1CV3d+8To6ISJmyvokcfiWieXwGPU0FmUSh6rpd/2FCCcFO7NJ0XAtF83LVeu+r+08hSiPB2+MU+Ll3r46TOWeTeGsMqp7JX4XXTixLqTZdF7xc1ORs2bg8yxbiVW4E1EewFcBfALAYQCvEtFWxthPhMM+A+A4Y+z/IqI7APwJgFXNGLCMzwI1Nbc1xbv61iixCU2ds9CnVgg/1jaRbedw1V5csoB9KjT2WXqg6rDFqPugq01j8r/o7je3o8vfyaUhuMnJb7MBy3OtrxCBCEqnt09TanHc8hxiqG3srnOc2oSZbu7Z6tPb5rxrjfu0kJ9Bf0+E905N18iZdrTgc9HcLwfwOmPsZwBARN8B8EkAonD/JID1lX9/F8CfExGxFoTi+Lyl+UMQTQKqVGd5QSYxfegmrk3wi7hc1zaRGzHbyOPWaX4mbVZXJsE1alRlykoyfuXYNLPTNGtN99u33AGfI6boIJfv6POC9mkuw8ety1fQpd4DyYWZy/qwzXmfNZYWqlIfrby+ChfhPghArNd6GMAVumMYY9NEdALABwD8b/EgIroHwD0AsHjx4oRDrsX3LS0/hAs0VQzFBZlk+27CdTG6XNc2kdMcuykLGNDbylXXshWAAma7RLme0xfduU0mI9P9djEp+J4zTXw1eD5u2xxKe/y29eFyvbTs6Ulp9/UBN+Gu0rFk3cblGDDGHgfwOBDHuTtc20qjE8tF82+1Dc/3uqaJlObYbS9SXUy26lo2JxQvn5pUYLqQ9N7o7ncj5oBWCQPTbkFEHLfLfWq1MJsLwnOu4xIKeRiA2Gb+PABHdMcQUReAPgDH0higC2Kolm+xL1tMs+sxzSCN66Y5dlP42MiQuk2aT8Yg/1veYGFkSJ1dnNa9T/vcaYbXNRt5rP2Gphrtmv+BxrBmqFaE9T8AuBrAOIBXAXyKMbZfOOYPACxljP1exaF6M2PsdtN5W52hasLFPtYuG1oa123l2H2u5XpsM8c/F2yjWSDcp7mDa4aqU/kBIroewGOIQyG/wRj7D0S0AcBOxthWIpoP4K8BDCHW2O/gDlgdc0m4BwKBQFZwFe5Oce6MsecBPC999oDw71MAbvMdZCAQCASaQ0eUHwgEAoFALUG4BwKBQAcShHsgEAh0IEG4BwKBQAcShHsgEAh0IEG4BwKBQAcShHsgEAh0IG3roUpERwG8ncKpzoZUoGyOMBfHFcbkxlwcEzA3xxXG5EaaYzqfMWbt2dc24Z4WRLTTJVur1czFcYUxuTEXxwTMzXGFMbnRjjEFs0wgEAh0IEG4BwKBQAfSCcL98XYPQMNcHFcYkxtzcUzA3BxXGJMbLR9T5m3ugUAgEKinEzT3QCAQCEhkRrgT0XVEdICIXieitYrfzyOizZXfv0JES+bAmP4FEf2YiKaJ6NZmj8djXJ8nop8Q0V4i+gERnT8HxvR7RLSPiHYT0d8S0YfaPSbhuFuJiBFR06MdHO7Tp4noaOU+7Sai3232mFzGVTnm9sq82k9E3273mIjoUeE+/QMRTcyBMS0mou1ENFZZf9c3bTCMsTn/P8RNQt4A8MsAugHsAfAh6Zh/A+AvKv++A8DmOTCmJQAuA/BXAG6dQ/fqKgA9lX///hy5V+8X/n0TgP/a7jFVjnsfgP8BYAeA4XaPCcCnAfx5K+aS57guAjAGYKDy8y+1e0zS8X+EuNFQu+/T4wB+v/LvDwF4q1njyYrmfjmA1xljP2OMTQH4DoBPSsd8EsB/rvz7uwCuJiJV4+6WjYkx9hZjbC+AmSaOI8m4tjPGJis/7kDcF7fdY/pn4cdeKBqst3pMFf49gD8FcKrJ4/EZU6txGddnAXyVMXYcABhjP58DYxK5E8CTc2BMDMD7K//uQ30/6tTIinAfBHBI+Plw5TPlMYyxaQAnAHygzWNqB77j+gyAF5o6IscxEdEfENEbiIXp59o9JiIaArCIMfZsk8fiPKYKt1S29N8lokWK37djXL8C4FeI6GUi2kFE182BMQEAKmbHCwC8NAfGtB7A3UR0GHF3uz9q1mCyItxVGris2bkckyatvp4rzuMiorsBDAPY1NQROY6JMfZVxtiFAL4AYF07x0REOQCPArivyeMQcblPzwBYwhi7DMDfYHa32kxcxtWF2DTzMcRa8teJqL/NY+LcAeC7jLFyE8cDuI3pTgDfZIydB+B6AH9dmWupkxXhfhiAqKGch/rtTPUYIupCvOU51uYxtQOncRHRbwH4IoCbGGOn58KYBL4DYKSpI7KP6X0APgzgh0T0FoArAWxtslPVep8YY+8Kz+trAFY0cTzO46oc818YYyXG2JsADiAW9u0cE+cONN8kA7iN6TMAtgAAY+zvAcxHXHcmfZrpYEjRUdEF4GeIt1bcUXGpdMwfoNahuqXdYxKO/SZa51B1uVdDiB0/F82hMV0k/PtGADvbPSbp+B+i+Q5Vl/t0jvDvfwlgxxx5ftcB+M+Vf5+N2DzxgXY/PwAXA3gLlZyeOXCfXgDw6cq/fxWx8G/K2Jr6ZVO+cdcD+IeKUPpi5bMNiDVPIH4DPgXgdQA/AvDLc2BMv474bX4SwLsA9s+Re/U3AP4JwO7K/7bOgTF9BcD+yni2mwRtq8YkHdt04e54nx6p3Kc9lft0yRyZUwTgPwL4CYB9AO5o95gqP68HsLEV98jxPn0IwMuV57cbwDXNGkvIUA0EAoEOJCs290AgEAh4EIR7IBAIdCBBuAcCgUAHEoR7IBAIdCBBuAcCgUAHEoR7IBAIdCBBuAcCgUAHEoR7IBAIdCD/Byu822whd157AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"plt.scatter(X1, Y1)\n",
"plt.scatter(X2, Y2);"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0, 0, 0, ..., 1, 1, 1])"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"M = np.append(np.repeat(0, 1000), np.repeat(1, 1000))\n",
"M"
]
},
{
"cell_type": "code",
"execution_count": 101,
"metadata": {},
"outputs": [],
"source": [
"clf = svm.SVC(gamma='scale')"
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
" decision_function_shape='ovr', degree=3, gamma='scale', kernel='rbf',\n",
" max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
" tol=0.001, verbose=False)"
]
},
"execution_count": 102,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"clf.fit(V, M)"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"X_N = np.random.uniform(0, 1, 10000)\n",
"Y_N = np.random.uniform(0, 1, 10000)\n",
"\n",
"V_N = []\n",
"for k in range(len(X_N)):\n",
" V_N.append((X_N[k], Y_N[k]))\n",
"\n",
"colors = clf.predict(V_N)\n",
"\n",
"colors = np.vectorize((lambda x: 'red' if x else 'blue'))(colors)\n",
"\n",
"\n",
"plt.scatter(X_N, Y_N, color=colors);\n",
"\n",
"\n",
"\n",
"#for k in range(len(X_N)):\n",
"# p = clf.predict([[X_N[k], Y_N[k]]])[0]\n",
"# c = 'red' if p == 0 else 'blue'\n",
"# plt.scatter(X_N[k], Y_N[k], color = c)"
]
}
],
"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": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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