From 8e208aba895792c046627961013de7981bf35751 Mon Sep 17 00:00:00 2001 From: goforit615 Date: Mon, 22 Jun 2026 19:38:41 +0900 Subject: [PATCH 1/3] add ml-05 --- README.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 09d80fa..027f4ab 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,7 @@ - [x] ml_02_지도학습_KNN - [x] ml_03_지도학습_LinearRegression - [x] ml_04_지도학습_Ridge_Lasso_Regression +- [ ] ml_05_지도학습_Linear_Classifier ![repositories](images/repositories.png) `git clone 학생저장소` @@ -24,4 +25,6 @@ https://app.notion.com/p/LinearRegression-3720711f396d80639dc0fe1c7dfc91e7?v=0ce #### ml_04_지도학습_Ridge_Lasso_Regression https://app.notion.com/p/Ridge_Lasso_Regression-4-3790711f396d80fc9043cd369922f4d1?v=0ce5aee757bd4aebad59bc9a5c6d2ad0&source=copy_link [[open ml-04](ml_04_지도학습_Ridge_Lasso_Regression.ipynb)] - +#### ml_05_지도학습_Linear_Classifier +https://app.notion.com/p/Linear-Classifier-3870711f396d80d1966bef6e7a3787a0?source=copy_link +[[open ml-05](ml_05_지도학습_Linear_Classifier.ipynb)] \ No newline at end of file From f12148880f2e37bfbeff11513e36018271665c84 Mon Sep 17 00:00:00 2001 From: goforit615 Date: Mon, 22 Jun 2026 19:48:55 +0900 Subject: [PATCH 2/3] update linear classifier --- ...5\231\354\212\265_Linear_Classifier.ipynb" | 333 ++++++++++++++---- 1 file changed, 260 insertions(+), 73 deletions(-) diff --git "a/ml_05_\354\247\200\353\217\204\355\225\231\354\212\265_Linear_Classifier.ipynb" "b/ml_05_\354\247\200\353\217\204\355\225\231\354\212\265_Linear_Classifier.ipynb" index 40c73f2..aebb5fb 100644 --- "a/ml_05_\354\247\200\353\217\204\355\225\231\354\212\265_Linear_Classifier.ipynb" +++ "b/ml_05_\354\247\200\353\217\204\355\225\231\354\212\265_Linear_Classifier.ipynb" @@ -72,7 +72,6 @@ }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -88,20 +87,41 @@ "user_tz": -540 }, "id": "X4AvkNOtroC2", - "outputId": "dae5715b-daf2-452f-84af-88b90ce813ce" + "outputId": "dae5715b-daf2-452f-84af-88b90ce813ce", + "ExecuteTime": { + "end_time": "2026-06-22T10:41:05.376998Z", + "start_time": "2026-06-22T10:41:03.754408100Z" + } }, - "outputs": [], "source": [ "from sklearn.datasets import load_iris\n", "iris = load_iris()\n", "iris.keys()\n", "iris.data.shape\n", "iris.target" - ] + ], + "outputs": [ + { + "data": { + "text/plain": [ + "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n", + " 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n", + " 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n", + " 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n", + " 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 1 }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -117,20 +137,40 @@ "user_tz": -540 }, "id": "MpWiOqZ_uuEL", - "outputId": "09cc5067-452e-4192-dbed-c1fe8cbd7caa" + "outputId": "09cc5067-452e-4192-dbed-c1fe8cbd7caa", + "ExecuteTime": { + "end_time": "2026-06-22T10:44:48.998734400Z", + "start_time": "2026-06-22T10:44:48.899204300Z" + } }, - "outputs": [], "source": [ - "X = \n", - "y = \n", + "X = iris.data\n", + "y = iris.target\n", "# 꽃받침의 길이와 넓이\n", - "X2 = \n", + "iris.feature_names\n", + "X2 = X[:, :2]\n", "X2[:5]" - ] + ], + "outputs": [ + { + "data": { + "text/plain": [ + "array([[5.1, 3.5],\n", + " [4.9, 3. ],\n", + " [4.7, 3.2],\n", + " [4.6, 3.1],\n", + " [5. , 3.6]])" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 2 }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -147,19 +187,43 @@ "user_tz": -540 }, "id": "6omzP2HdvNUB", - "outputId": "b5d1f00b-0d87-486b-f552-8a169e0cbc50" + "outputId": "b5d1f00b-0d87-486b-f552-8a169e0cbc50", + "ExecuteTime": { + "end_time": "2026-06-22T10:45:06.489143100Z", + "start_time": "2026-06-22T10:45:06.283993300Z" + } }, - "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", - "\n", - "plt.scatter(...)" - ] + "plt.scatter(X2[:, 0], X2[:, 1], c=y)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 3 }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -176,18 +240,43 @@ "user_tz": -540 }, "id": "hNcT6dFuvuj6", - "outputId": "25ea7b57-b3d1-424e-a46a-554654e5b687" + "outputId": "25ea7b57-b3d1-424e-a46a-554654e5b687", + "ExecuteTime": { + "end_time": "2026-06-22T10:45:32.434766800Z", + "start_time": "2026-06-22T10:45:32.237734200Z" + } }, - "outputs": [], "source": [ - "y2 = \n", - "y2[y2 == 2] = 1\n", - "plt.scatter(... )" - ] + "y2 = y.copy()\n", + "y2[ y2 == 2 ] = 1\n", + "plt.scatter(X2[:, 0], X2[:, 1], c=y2)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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eUxyX/UpENekV2NZuA6x6s9dy+V2W16ZXxm3fiCg6LFbgwust+OgLu9dlFfn3/C/s2m2yTiSkY+zlUyxaa4zF6t6GFCiff2vH2IlmNDQi5pQuXbsn/EDB7OxsbNywHv36H4jaWvYnSEl2PbrU9IDebkR9Wg32Zu+O9x4lLlU6+mbDYDdpfUa0PjZsGSFKOR3aAYMPdbYbyCyq5RXR30Z+HnDEQJnzBFi11oE9ZfE7f3OmVkoMejuK852XJCgEBWgwsTAnSnXlFcDX3wcZAxwFlVXAN0tadxvNxUs2REREFHcsSIiIiCjueMmGEoKi6pBtzoPOoYfF0Ngq/SIUVUGWOU9LFJaOoPWmmpDbMNnSkWHJhqqo2tBbSdclIqLoY0FC8aUCHeq6oLC2G/Sq++Uow4F35W9xFg1R0K6uEzpJp1mPbVj0jdiVV4S6tCqf9Q12I7pV9kW2Jd9jV1VUppdhd14RHLrEuOZKRJQqeMmG4qqgths61/TyKhSEyZ6OXuUHIsMS+bTx7es6o2t1b59tGO1p6LV3ADLNOV7LpZWmd/nBWn5M07yY/MYC9Nw7gCF2RERRxoKE4kYunXSs9Z/mq/z1v441PSPahs6h01pGAm1DdKrp5bW8fX0nrViRaD9/98my5iLb7G45ISKiyLEgobjJbejgHMMagJz8sy152uWTcOU0ttf6pwTbRqY1W+sr4pJfXxj0b8qlm1DrEBFRy7AgobhxJtOqrZpg2+yUXI+iR+7jaj3xR24zOkxh7xMREfliQUJxTvtVQrZG2JqZdOt3G3pL0OLCcz33flkDhti59snKVF0ioqhiQUJxU5VRHvLEX2uqimiobXV6BexK4JAoLU3YWAOLwZ0PU5FZEvRvSoFTmVEa9j4REZEvFiQUNw6dHSU52wMWCiocKMndFtE2VMWBPTl/7vubTbch/78713m7S0XmHpj1jX6LJVlWY6pEbRqD7IiIookFCcVVeXYxduVugU3xbgVpNNShqMM6NBrrI95GRVYJduRt8rn0YzY0YGuH9T65MDLHyNaCtahO2+tVlDjgwN7MPdjefgPD7IiIoowTo1HcScFQkVmKLEvOXzO1mmGOQiHiqSqzDFUZZci05DpnajWYtaInUPcSu86GHe3/0BJ1M6xZzks7phqtVYeIiKKPBQklBkVFXVp1K28DqG/hNqSzaw07sBIRtTpesiEiIqK4Y0FCREREccdLNolEhdZfwWTLgEOxa6FviRDiJtOvZ1lalsSbZs1AuvS9UBzacdjZ94KIwpBmAoYerUN+noJtO1T8/Gv8PxOpdbAgSRBy8pZ02XRb5r5lUpSUZe1CafbO+IzqUKGl8BbUdYVO1e9b3Giox868zWg01fncRaZgl+PItOZ4jU6RobR7crdBVULPzEpEJK68QI/p1xqRl+P+ANy63YGZD1rx4y8sTFINL9kkAGlN6F1+ENJsGV7LpQgorO2OThEGzIVLtivb9yxGhOyntr9W7/2VESm9yw5GhjXba7kOOrSv74yulX1jst9ElPyuucSA+2aYvIoR0aOrgn/PNeHIw3j6SjV8RhNAYU13KKoz3bYpWdahrguM9thmp0hxIdsNtE+ShNuxSYpuQW0X6FVDwPvkNxYg3ZLVqvtNRMkvJxuYcZ3/Bny9XoFOAW6/kQ38qYYFSbyfAIceueb2fqPuPeU1FMRsn5zbkyTewKTAyDG30/ZfowL5DR2D5sbIzKv5DUzJJaLgzjxJr/UdCUSKkiMH6bXWEkodLEjiTCbpChX+JpNyeabRxoLBYQqaMyNkvw0Ow75/65tc2vF3j0iSe4mobSgsUGBvxhyEhR1YkKQSFiRxZg+RLOs62cc6XVaSeJtTKNl0tn3/tivOfwe7hzPhl4gosD2lKvT65q1HqYMFSZzJsN7qdEm9Dd5jXKY9j6VQ25MCpDp9r3sqdcWZkhusuJLLUpWZTMklouC++M6ORncAtw+bXcVPy+3YuZsFSSphQZIASnJ2wKE4Ap7My7J3wqb3DoZrbbI9bbixH1oOr+LwSeotzyrWAuwCpeRWZJREJSyPiFJbXT3w4FPOzzxV9f48sdtV7XKO63ZKHSxIEoBMNlbUYa1zwjEPcglkd86fKMneEZf9Ks3egd05W30uxch+FnVYo+130yJGlteZqryWa/OpZO/ErrwtMdlvIkp+/3zPjumzLCjd6718wxYVYyZa8Otato6kGo6bShBmYwOKCtZqc3vI5GJyKafeVB3ficQUoDx7N/Zm7dFScmXGVilCZF8DsRos+LPD7zDa0rRJ3pwpudUJMeMsESWXdz+x44PP7Tj6cB3yc4E/d6pYu4GFSKpiQZJg5GQf7IQfD1IUyfTvLWE1mLUfIqJIyOWZH5fxC01bwEs2REREFHcsSIiIiCjueMmGWkVOQztkm/O1Dq17s3ZrfUuC0TkMzqnnHQY0GOtQmVESslw2WdO13BztkpKpCnZ9qHlQWp9EAGSZ87TjsOktqDNVxycYkYgolQuSSy+9BJdecgl69Oiu/b5h40bMmfMkFi5c5Hf9sWPH4Mk5T3gta2xsRJ++B0Syz5TAshrz0KPiAOg9Xlod6rugUV+vddpVm3ZudQA9Kvsjx5zvnoitAehSvR925/6Jiqw9PtuQDrPdqvogy5K3b5nM41KRUYrdeVvj1hE4v74Qnap7wqC6Z6O16MwozitCbXplXPaJiCglC5Li4mI89PDDKCoqgqIoGDNmDF5/7VWcfsaZ2Lhxo9/7VFdXY+gJJ+77vemYckodEpzXq2KAz3IpNNLtmdi/dCD+6PSr1229Kg5Etkdh4XkfKUpU2FGZ5Z6kTW83oHf5wT5T0Muka+0aOsLoMGFbuw0xb5WQYqRbVV+fOVhkf3pW9Nf2iUUJEVGUCpKvv/7G6/dHH31MazEZMvjwgAWJFCClpZydsy3oWtVH+2+gtF+TIx159QWoynQWGDK8OcuS6/dvyfpycu9U08urIOlQ31krRgJtQwL/ZIhyfVo1YnmZpnN1L21/m+6X6zjk9k1plbx8Q0QU7U6tOp0Oo0aORGZmBpYtXxFwvaysLPy89Ccs+2Wp1prSr1+/kH/bZDIhOzt734/8DUpwDmjzjgRP+1XRoa7Lvt8La5yX/oKG96lGpFky9y3Lr0+8RGHpK6NXA4ckyvI0ewbSbXwdExFFrVPrgAED8OknC5CWloa6ujpcNeFq/PHHH37X3bx5M6ZNvxnr169HTk4urrt2Ij75eD5OOvkUFBfvDriNGyZPwvTp01q6axRHOuhChvEJVzqwMNqD5It7SLOnwwznlPOh0oLl0k3Mk5HtRr+tI/7WA8OOiYiiU5BIkXHa6cOQk5ODEcPPwlNPzsG5543xW5QsX75C+3FZtmwZFi9aiPHjx2P27McDbuOZuc/ixZde3ve7tJCsXLGspbtKMeSAo1knZVc6sLDqzYA1J+j68jfNevdEcZKVI/0yAq/v0Ea3xJIkMTenGIv1fhERpfQlG6vViq1bt2L16tV4+JFHsW7dOkyYcGWz7muz2bBm7Rr03m+/oOtZLBbU1tbu+5GWGEpwOqDRUBci7VfRMm1c9jQJ52tK/pbk6JhN7oIkEROFZRZbm+I/VFDI8kZDvfZDREStNDGaotPBZEprdr+TAwcMwJ6Skkg3SwloZ95m7b+B0n6lpaM6w52UZTNYUJNW4fdvuf6GDJn1tDerWGtZCbSNqvRy1BtrEEsyzFiGG7s6sDbdJ7E7dys7tBIRReuSzW233oLvFi7Czp07tc6mo88Zhb8deywuumi8dvtTT83B7uLdWsuJmDrlJqxYsRJFW7ciLzcX1113Lbp16455895uyWYpSUhLRlH7tdowV8+5OLSAPWMNtrZf53Of7e03oltFX+Q1Fnhd9pBLL7vyirwKGGHX2bVkZBnRI51JXfeRS0YyAZvW6hKHiciqMsr3jaYxOtwFukXfqBVVdTEc9UNElPIFSUFBAZ5+ag46duyImpoarbOqFCPfL1mi3d6tazc4HO5viHn5+Zg9+1EUFhaiqqoKv61ejVGjzgnYCZaSX0NaLTZ0Xo5Mc85fM7XKhGV7YDcEnkV1Z7vN2OkoQof6jtDbjWgw1aGmSSHiyaa3Ylv7DTDaTNrIFWeicA0cOjviSYqn6vS9yLTmaMdh05u1WWc5UysRUWhKl67dE36mMmmN2bhhPfr1P1DrU0JERESJryXnb4brERERUdyxICEiIqK4Y9pvIlGBDGsWTLYMLSVXhpM6mobRRUFuQwdkmXO1bZRn7dZGu0RbS9N+FVWHbHMedA49LIZGNBhrQ/a9iEXab1ZjLnIb22vbqMgo8RqCTN46FgDHDtFDrwNWrHZg647oXw3u0A742xF6mIzAr+sc2Lw19DaOPEyHXt0VVFWrWLLUgUYznzmiRMSCJEGkW7PQrbKvNv26i5zMy7J2oVTm7lCiUyR0r9wfOui9knjl5C+jY6LRXtbitF8V2nTyhbXdtOnXXWSI8K78LVpn1Xik/cp09fvtPdBrtFD7+s5aem9RhzVBO+m2NZkZwEO3GTF6mB56vfuFuuhHO6bNsqDEHUUUtvQ04N6bjRg3Ug+jwb2NH5fZMeUeK3bt9n3Ojz5ch9l3GdGnl/uFXVOr4omXbHj533z+iBINL9kkgDRrBnqXH4Q0W4bXcp2qR2Ftd3Sq6RnxNmTUS4/KftrEYZ5k2Ky0MvQtGxi1tF/Pgqdp2m9TBbXd0Lmml1cxIkz2dPQqPxAZFu/8F1farwTo+Uv77VHRTytyImGwmdC3/BCffXIGBKbhgLLDtOweAvR64F9Pm3yKEXH8UTp89EoacrIjf6Remm3ChaO8ixFx1GE6LHjNhPb53usffoiCt583aS0jnnKyFdwzzYjJV/C7GFGiYUGSACRkThJjAyXYSgtCc3Nfwk3ilYIhqyEvJmm/LnqHAR1ru/n9W85HQ0HHJsVYc9N+IzuO3vv2wN82pFCRQpGAU4fqcMxg32JEGAwKenRTcNHoyE7+UticfFzgbXQqUHDFOO9t3HaDETqdFEz+mxanTTQgP7KXCRFFGQuSOJM+E7nm9j4tF03lNbhP5C2lOHRai0OoJN6Odd1jmvYrfVmCXYuSv5VtyfMKy4tF2q/npSD/21DRrj62icKJaszZBthswabyh9ayEYnzh+uDbkOKjgvOcRckXTo6+5kYAhQjwmAAhp8a2X4RUXSxIIkzaSUIFcwmJ8BIEmwljK454W+yL7FM+3Um94a+vuKZ8BuLtF9X60yw23VNLue0VV06KlorRSA6nYLCDpF1gOpUGHwbrs6uLgXtQ2/Pbgc6RrhfRBRdLEjizK4LHMrmeQKURNlwWXSWkNtwJelGmvYbehvuzoQ2nRxT6GLMc79C7WM00n5lm8GORQv98ziOtmxnsRq09UJmbt5dGlmnnuKS4NsQpWXu20s8/h2s70uk+0VE0cWCJM5kWG91uuSgBO8lWZURwVAFnUMbtRIqibc0RPputNN+XfkvgchttaYqbar4WKb91qZVBr1djkP2g4B3P7WFbL2YNz+y4u29T+xBt2G3q5i3wB0bsKcMWLLUDps98OvEYgU++ya+UQNE5I0FSQIoydmhZb4EOtHKSdzzpByOXXlbtP8GSslt0NehLq0mpmm/kj1TEqAIcrZROFCSuy3mab/FuVsCtpJoLTaKFWVZ7sKqLVv4XwcW/2TXioKmpFVj01YV73wc2Yn/fysc+L/v7F45WZ7b2FGs4p/vehc9Dz5thdXqLFb8eWSuFTVMoSBKKCxIEoBMBCYJttpkYB7sig27c/5ESfaOqITe/dluvTa3SdMTbJ2pGlsKVkct7Vf2u+k2pEjYVLDK5z7l2cXYlbtFO8l7ktaWog7r0Gis95v2K60YngWDXDIqzyrGjvxNEc/ZYjPYsLnwN9gU70tdzqKqHn90XMl3jutxdwBXTbfgzQ/tsFjcj5UUAl8usuPcCWbUeT+FYZl0mwUvz7OhsdHjOXeo+O6/DpxzpRlVTWrQNb+rGDPRjN83eRckZXtV3PKABa/MY+sIUaJhuF4CzklisqVrl3LqTdVRmeTL3+RlWZZc2BU7KrJK4GiF/hAtSfvVqAqyLDl/zdRqhrlJIeJPLNJ+ZW4VbaZWmXgts7RVZrVNFTKMdsggHQx6YNVaB3ZHduXML5nTRGZelZlaV69XsdPPhGhNHdRPQa9uCqpqgZ9XOmBj9x+ihAzXY0FCRERErYJpv0RERJRU2IeEiIiI4o6zO1Gr9YWRwEBVcWipxdIZNdppv0TNcen5ehzcX6d1aH3pLZtPB9hkcd5ZOhx5mB61darWwXdPK/TRIYonFiQUVdIhV1KLM605XiNgKjL3YE/uNt9OumGk/RI1xxVj9bhrmhEmo7uyvfEqA/6z2KGNDEoWw0/R4cn7TMhIdx/HNZcY8MuvDoy91sJOupQyeMmGosZgN6F32cFaerD3i0yH9vWd0bWyb8Rpv0TNMW6kDvfNNMLY5CuXoig440Q9/j03srDKWDnhGB1eeNSE9DTf45DRRl+81eQGoiTGgoSipqC2i1ZYBErJzW8s0IbRRpL2S9Qcd0817TtxBzrR9/T/0ksoD99uDHgcsuzAA3Q47gh+jFNq4CuZokMF8htalsQbTtovUSiDDgLycpWAxYjLzdcm9usqLwfo2TX4caiqiqkTeeWdUgMLEooKKR70aqg4d8VPcm/L0n6JQunTs3kfa50LE7vXdLcugVt4PHVol9jHQdRcLEgoKrQE3CZTxvtby5nwG37aL1EoG7cED6p0ac4sr/G0fZezBSSUkvLEPg6i5mJBQtGhtDyJN5y0X6JQ1m4EKqrUkCfzx55P7NeVhP9t3R76OB5/nnPhU2pgQUJRI+F20poRKCW3IqPEKywvnLRfoua46zFnS1ygk/lXi+wo3pP4j+X0++T9FPg4Vq1z4JdVzWsRIkp0LEgoaqQlo6jDGtSZqryWS8JwWfZO7MrbEnHaL1FzLPjSgemzLGg0ey+XhOAPP7dhws2J3TriImGAl91kQU2d93IpUBb+aMeIS5NnPhWiUBiuR63CaEtDui3zryTeai29ONppv0TNMeI0HQYO0KG0QsWb79t9ipRkcdJxOhw7WIfqOudxJOuMs9S2ZLcg7ZfjxahVWA1m7afZFBV1adV8NijqPvvaof0ku4X/dWg/RKmKl2yIiIgo7liQEBERUdzxkk1zqdAyWiQ8TkaH1KZVaUm20d9GFky2DK0jqKTkhup7YbCZ0L6uszYpmVzyqM4oRzKm/VJi0emAY4fo0KWTgvK9Kpb87GgzIW69egCXjzFq+THf/8+OLxaGfp8PPkRB71461NWr+P5/DtQ3IO6yMoETjtYhM1PBpiIHVq0LPV/JgQcoOKifDo1mFT8sdYTsp5KR7pyGPydbQdE2Fct/i/4lpTQTMPRoHfLzFGzboeLnX3nZKlWxIGmGDEu2lmCbZs/Yt8yu2FGavUMb6hpibq9mkZO3bEM6gnqNTsnahdLsnb7bcAC99zqD7FzTtbdv6ARHZR/syN+Mmoy9SIq0X0o4p/9dhwduMaJrJ3cDanmFivuftOKDz1K3sMxMB+a/loaD+rmna7/kfANq61RcfbNFK8qaOvwQBY/fbUL/vu7HSoqSua/b8Mxr8angZNenXm3AtZcakJnh/uBY94cD0+61YM3vvu/B/fdTMGeWEYcf4p5t2WxR8c/3bHj4GZvfYvT6ywxaenJ2lnsbfxQ5cPN91qgVJldeoMf0a43Iy3FvY+t2B2Y+aMWPv7AwSTUcZROChMH1Lj94X9hbUyXZ21GaszPi1oQ+5YdAUXU+25BRKlL0yMncU9+SgVqB5G998We79ahLr4552m/f0kP9BuzJflWll2Nnu00x3SdqmVOG6vD6E85gOp1O8RpmKidpOaG992lqFiVLP09D106+2TFy7DINyPBLGrH6d/fyA/dX8MkbaTAaAYPe97Nh7utWPDI39kXJ3VONuPpivc9x2OwqzGZgxKVm/FHkLkq6dVbw5b/TkJMNGAyKzzDpj/7Pjin3eA+Tnn6NAVMn+kY62O0qbHZg1BVmv4VPS1xziQF3TfG/DYcKjL3Ggl/YWpJSo2zYhySETjU9AhYjorC2G/T2yBqaCmu6Q1H9b0OWdajrAqPdHZee1ZiHdHtmwPVFl6o+SPS0X0o8904z+hQjQk5ucmKWE4QxBdtVx43UoVtnXcBUXVn86J1pXstnXO98LPwVI+K6Sw3oVICY6t5FwYSLfIsRIfsplz+ahvFdf7nBbzHieh2cP8KgXcpxKWgP3HCl/xeBXq9ArwduuT6y/CnZnxnXBd6GvDxvvzEFX4htHAuSICRlNtuSHzTBVk61eY0dwn8CHHrkmttr06oHk9dQ4FUEBZ+iXYHJkQadQ5fQab+UWAYdpKB3T51PMeIiJ7l2+Qr+fmzqfWxMuNgYdIp2OfZDB7gfl/xc4NShOr8ncU/nnBnbk+boM/Va60Egsr9nnaLX+pcIqVvGjtAHPQ6rTcX5I9yXckaerocS5CUghY+8Rjq0Q9jOPEmvFU+BSFFy5CA9enRlsGAqSb1PlijSNytlVo0ojVbv8N+i4L0FVSuOXAyO0B9y8jcNdu9vdImW9kuJpbBD8z7cOxak3kmgXW7oY5KiRDq6auvnKwELNxe7Qx5TxFTHDgocIbpWSMGQ/9fxSqfUDI9+Jv5I0dLJ4zmX14k9xFU7eWwK2of/OiksCL0N175Q6mBBEoSk0QZriXBSYI0gjdYeIPvFewsKrHrPlNzQ16W1lFy9OaHTfimx7Clt3jX/3SWp1zF5b2XoY5L+FK5ZXmXkkfRlCEavi/1jtbtM1bYbjNWq7jvehkZonXaDUr2PQ14nBn3ox6o0ghRi2YZc+mnOepQ6WJAEYdfbUJtWGTKRNpKhtjKstzpdUm+Df62pyijb9+9AgXSe+2TRN4aerj3Oab+UWFb/rmqjJAKdaOUkU7ZXxfdLU290w3NvWP32u3CRyzkSZOdSXQt8tViGQgf5bFAlUye2HYA/+jz4lwLZ30+/tmuFiGsfpZNysOOQyzmeHZk//o9d67gabBvf/uDA3kqE7Yvvgk/xLx10f1pux87dLEhSCQuSEPbkbNeKhUAn2tKcHbA3o8UimJKcHXAogbchwXQSXOdSn1ajhc8FStUVO/0E2SVa2i8lnrtnO9Nl7U06IkgxIs3w9zxuTcn5SCSMr2ibw28/Elkml0EkrM/TY89atZOmnBz9efIVG8piPPq+uAR49p+2gIWCzI8y5yXv25993Yq9Vc7bm3KoKt78wIaNW9y3VVQC/3ghwDbsKixW4NFnIwsvrKsHHnzK+TeaPidSMMvlHNftlDpYkIQgIW9FBeu0AsCTpNPuyi1CWfauiJ8Ei6ERRR3WosHoPSRKLoHszvkTJdk7fO6zpcMa1JqqfE7+MnfJn+1+R0NaTVKk/VJiWbLUgUtusGDrdu/XVXGJimtmmvHxV6k55FecMs6MZat8i5KKKuCcq8zY2OTlu2mritFXmbF6vXeLUUWlinset+DJl+NTuT32nE2bM6aqxvs4Vq514JwrzShq8tzuKQNGXW7G/1Z4H0dtvYqnXrbhjkd9T/xS9NzxiMXnUtfaDc7H5PdNkbdc/PM9u1YEljYp6jZsUTFmogW/rmXrSKrhPCQtkGbNhMmWps3UWm+qaZVJvmROEudssA4tJTfUNmQkTTvXTK2matSlexcDSZP2SwlHJv3q0lHRvuX/op2o0SbIsNaLz5VJxZyBdk1P1P7076ugT08FNXXAzysdWitBvMkolaMH65CV4SyePOceCWS/7goGHKBo85XIcbsu7QQiw55lGzlZMmGZivVRKESakr4kRx+u00Y2/blT1YoeSs15SFiQEBERUavgxGhERESUVNiHhIiIiOKOc+8mkjDSfsORbs3U+sNIEq+kFkufmGD0NgM61HfRJnGTjreVGaUsZSll5ecBxx+lR5oRWLvREZUOmtEwZYIexx6h1+YNefBpK7b8Gf1tXDNej5OP16O+QcXsZ61Yx+gpiiEWJAmixWm/YXaYlW1k2LLd24BDG66rzW3iJ1G4V8WByLLkumeTbeiELtW9tREzVZnuuVGIkp100LxzihGXnKeHyeR+MyxbZcfUe6w+o1NiRYqEO24yes0Me/rf9di1R8XQ0WZYojDX4Phz9XjwVqM2JbvLqUP1KN2r4oRzzKjlaH2KAV6ySQBSKPQuPwhptgyv5TpVj8La7uhU0zMqo14ktTjd5h1up4MOBXVd0aWqt899eu892LsY+Yv83q2qL3IaIgirIEowT91vxBXjvIsRcdjBOsx/LQ2d4xDDNHakXiuSms7ZJpO4STLxsi/SI97GsBMVPHy7FDy+2yhsr2DZl5Fvg6g5WJAkgJam/Ya1jdpu0Km6gNto39AJJqv7g0dSeTOs2SEShX2LGKJkHeI88nSD33wamalUhpxOHB/7HKb7Zji3GSiFuH2+gnPPjOxjfPbdaUG3kZ2laK00RK2NBUmchZP221JS7Mj9g21D5gvxTOLtWNM9+N+UoDzVCIMtskKJKBGcN9ygpdoGIkXJBaNie1Lu2AHaHCKhprSfeX0E4Z56Z3JxqG1ccymv7lPrY0ESZ+Gk/baUXPqRSzMtSS1uTiqv7HdaDBOFiVozJTdUKF1ujgJDDM/L/foGLxRccrLD72DWtVPztpEVIhGYKBpYkMRZOGm/Ld6GYtc6rwanwOaxDatHdk4gst/mGCYKE7UWSY21h3iLVFSpMc3xWb/JN8fFn6ZTxLfErj3N20ZdfWKMNKLUxoIkzsJJ+20xRdWG6gZP4lWcw3n/UpK9LeiflL9l1VlgM0Shiz9RnL37qQ1GQ+BWAAmee2dBbLNpyvcCtXWhC4YHngx/nnoJqZNU3mDbkBaUp19NwURFSjgsSBJAS9N+wyF/Q8L6AiXxlmcWw2Jwt3aYTQ2oN/oP6HP9DYblUapY87uK9z61aanG/ooRyfN58a3Yn5RnPOAs+AMVDKXlKv7vu8jmKpp8hzOwJlDScWWVqgXdEbU2FiQJIJy035ayGiwoKljrU2TINuTv7871nWVpa/t1qE7b65soDAe2529MmCA/omiYcb8Vc1+3aZOCefrvLw6MvMKsFSWx9tnXDtzyoNXncpIUCpv/dGDwGZFfMl2yFLjuNovP5SjZxs5iFYOHhUjYI4oShuslmJam/YZD/r7MeSKtMs7UYkfoROH6ztDb9Wgw1aAmozLq+0SUKCTlV9Jl09KAdRtVbNuZGP0nLhqtx8l/06GqVsWjc20oKY/+NmQI8bCTZaZWYPZzVuzcHf1tUNuSzbRfIiIiijem/RIREVFSYR8SIiIiirs2O/2e3m5AliVPm8W00VgHs7GhGUm82X/177BrKbmh+l4kqtyGDsgy52rhfeVZu0MO3ZU+JPJYyayy0gFX63yrhO4LI4GB8hhJarE9RKJwourdQ8Hhh+i0ToU/LbejpBXyBI86XIdRZ+ihOoD3P7Ni1brQs2sed6QOHQsUlJSpWqdLGb4ZTTIB2FUX6NGnl04LcXvxTRsaQ/Sf7FgAHDtEr00wtmK1A1t3BO97Idkpkh3Tr48Oe8pUvPSmLWlD3G65Xo/BA/XanCD3z7Fi+67g6+dmA0OP1iE9XcHvmxxYuyF0P5XzztLhyMOcab8vz7Nhj3uUvl9ZmcAJR+uQmalgU5EDq9YlRl+Yfn0UHDpAB4sV+OEXOypCdElLMzkfq/w8Bdt2qPj51+T83JX31PFH6lDQQcHuEhU/LnPAEeJQunVWcORhznaDX351YOfuxHgOE6JT66WXXoJLL7kEPXo4pxXfsHEj5sx5EgsXLgp4nxEjhmPmjJvRvXt3FBVtxYMPPYTvvlvYategQpECpHNVL7Rr6Og1lXqdsRo78zfD6jH01SXDkq2l5KbZM7wmGyvN3qEl5UYjiTcWJAyve+X+0ME9BbaMoJECo6j9Wt/2MtWZgSPhezLbq0ujoR478zaj0VTnsw0p2OSxyrTmeI3Kqcjcgz2521qlk25r6FQAPHGvCX8/1n3cNruK+V/YcccjVq3TX6T69gLefykdhR3cs2XKyAYpAM650oziPb73GXm6HvdON2rFiIuczO953IrPvo5OVTLzegMmXW7wSn6V4bBvL7BrIz78dQJ96DYjRg/Te91n0Y92TJtl8VvETbpcjxnXGbUp2T238cl/7Jh8R2RD3GNpxnV63HCldxKvPIdbtzuTeP0Vk7dcb8CVFxqQnua+z6p1Dky9x4KNW3zfH8NP0eHJ+0zISPfehpygxl7rOzpGXkpTrzbg2ksNyPSYYXXdHw5Mu9eiDXGOh57dFMyZZcTRh7vfUxarirfn2zHrCatWoDR15QV6TL/WiLwc93Fs3e7AzAet+PGX5ClMzj1Tj7umGlHYwX0cUpTcPdvid9h2fi7w2J0mDDtJt++1Je+PrxY5MON+CyqrkTRarVPraaedCrvdjqKiIu0DdMyYMbju2mtw+hlnYuPGjT7rH3HEEHz04Qd4+OFH8PU332L06HMw6frrcMaws7Bhw4ZWOaCgVKBHRT/kmNv5TNcuJ2abzorNBath95jzQ0LmJCXXGX3nW3mUZG9Hac5OJLpMcw7223uQ9m9/x27WN2Bzx9+8lneq7qkF+/lbXyZy21KwxqtlyWA3oW/podCrvtPhyz2q0suxs90mJDr59vrFv9O0byeeJ0xhtzu/oY271hLy200w7fOBX75Ih8noO3W3nGyk4Dn8tEbUe4y4PPs0PZ5/xKTd7nkf+aCSD61rbjHj828i+5Cedo1BO5kJz224tvn2Aps2PNbzBPvuCyYcOUjnVYy45u/YUazizPFm1Hi8ba++SI+7pwUOjfvsGxuuvSXxi5KrL9bj7qmBj6O4xIEjz/QuSh6706hl4jQN8ZPHqq4e2mPlOarnhGN0+PdcZ16Uv9fJ75tUnHaB9zZkn2Tfmq4vBbXZDIy41Iw/imJblEjR/dW8dO117/Oecqj4erEDE272bqm95hID7priG2Eh70GZLmbsNRatKEt0o8/U45kHTPvepy6uOW+unmHRCg3PFqFP3khD/z6+nz/yOtmwRcWoy80hWyxTvlPr119/o7VuSEvHli1FePTRx1BXV48hgw/3u/6Eq67CwkWL8PwLL2LTpk2YPftxrF6zBldccRniIdOS81eQnf8EW8lv6VDX2Wt5p5oeAYsRIS0Icvkn0XWt6qP9N9Cxp9szkdWQ51Vc+CtGXOtL61LHmh5eywtqu/gtRlz3yW8s0Aq8RDf+PAO6d/H9MBBy0pXLEicfF1n3q/tnGv0WI0KWZWUquP1Go9flDWkZaVqMOG9TtA+3e6b5Rsi31A1X+BYjrt9l2+NG6pHpkUZ/6lAdjhns3TLiIo9fj24KLhrt/f5whcEFylAZfopeO3ElulsnBT+OzoUKhh7tfalCHotAicJyiWXyX4+/y8O3B0/7PfAAHY47wv2ky+t2wkW+xYi2Db2ineymToz959XVFxn8FiNCr1Mw7CQ9jhjkPo6cbGl98r+f8lqTh/D2Gw1JcZlGCsSmxYhw/S7vW8+na/SZehx0gP/PH1kmt8kl3lQU9seXTqfDqJEjkZmZgWXLV/hdZ8iQwViy5AevZYsXLcaQIUOC/m2TyaRVVa6frKzonMQkzTbYFO1y0pRLOS4SaJdtyQ8Rfqcgr7EDEpni0MFkTw96HNKC0bHOnfCb1xD8mORvSUuT9Cv56w8gX7sMFmwbDq9E4UTl/AYb+Hb5ljL27Mg+DE87IfgHipz8Rw1zr3PMEB06FSoBT37y4da1k06bPyNc5w/XwWgMvA1ZLtu5/nL3sY8526A9HoHIX7rQIyX3pON0yMgIvA3XdqZNDD9MMhYO7i+fU6GD6Wbd7A6fPG+4PuhjJSeb887S7wvwy8sBenYN/ljJ68SzwJCTmZ/JZr22cdYpeq34iaULzjH4PcG6SNLymBHu18mZJ+m14ikQKUqOHKRHj66Jfb1c+nrJZRp/RaiQ5T276TBkoPt9K0V/sNZXuS3WydOx0uJP1QEDBuDTTxYgLS0NdXV1uGrC1fjjjz/8rltYWIiyUu8LyKVlZehYGPykdMPkSZg+fRqiTVpAPPuNBErf1SYmVeTfzflQ9E7JTURGhylkovC+Y/+LwWHSipRg93O2Khlg0dm1f+s9+pkEukeiP1ZCOp0FOwnIB2sXd90aFvmwDXVSzspQvdJom8PzGnVL7dejecVMd4+TQJeO/r/JeX7gSnO9S5+eofdPTrJdOiX2iebg/v5bIfz1BWjJc5OWpiA7E1ofgW5dmpfE26Gd4vU60U5mQd6K0lKSn6vENDCvfX7w4zDopVO0e53CAkXrqB0qXVke0+27ErdfWnPfjx093iOdChW/LY4ucpusk4pa/HVq8+bNOO30YRg+YiT+9a838dSTc3DAAQdEdaeemfusdr3J9XP44COi8nclDC5UiJ30I3Gdg23a+qFe7Aqscp8EZmnWcfx17Pv+bQlZxDj73dj2/VumoQ9O1k/8ML6SUtVvpomLfMuNtLe7XP8NFmgmt3mOOJE02uaQjnLh2ry1edfjpcOmi0wtHuxbvzyOuz32vTl9F+QknMgnGbFqrb1ZKbnlFWqLnsOGRhU1f/UVl5E6zdlGSbl7nd1lqjbKKRirVcXeytg+vpK5E4zN7v3alcdK+ieF0tz3RbyE874t3qNq/WQCkdt2pehomxYXJFarFVu3bsXq1avx8COPYt26dZgw4Uq/65aWlqKgsMBrWWFBAUpKg49Xs1gsWucX14+0xERDZWZp0BYSOalWZJbs+92ut6E2rTLoyVxuq85ohTmco0nn0Dqthkr7Lc3Z3ux0Ye240/dqQ6D/+gPaYxd8GzrtOUh08xYEH60iLQLvfhLZiJYvF9pDnpQ//Ny9ztKVMuRPhgn6f3xl+fZdDvyyKvxOfvO/dMBiUQOeBGW5bOeFf9m8UnKDtZCIefPd63//P4f2zTzYNuRnzkuJXeRv2Aytg2ioguHOR90F+Puf2YM+VlLYyTquIdzSEViKv1DbePx59+P70efBvxTINj792o6GGMfTSGdo6VQbiCQtS7ihyxff2YN22pS/JcPwE30YrAztlaIk2Pu2aJsDK9a4b5fPn1AtJG9/nJzTKLT6xGiKTgeTyX2d1NPy5Ssw9PjjvJadcMJQLF++HPEgw1ur0ssCJN46tBaUvVne4Q17crZrtwU60Zbm7ID9r1aCROZK5g2U9tugr0Ndmjt4T9KFS7P9jx7SxtgoDpR4FDBChkBLK0ugbVRklKDRmPgTTfz7Ixs2/+n/m7+MCJDhrIt+iqx3/92zrQFbSWRZteSVPOs+KUsz/F2POX9v+uHm+l1ub8YX6qAef8G5jab75epMK6mvnieKhf91YPFPchL1n5K7aauKd5p8eN7/ZPBtfPh/dlT5D5pOKPf+w/9xuEgrz9KV7t+3/KnitXdsfteXx0qOWcL9PE2/T95Pgbchw4U9i9DiEuDZf/r/PJJtyOitOS/F/vPqFW3eFP/vKXn9LvjShpUeJ2UZcfTgU/4fX3mtSdHmuj2RyX7K0N5A71s5NPks8PTpf+xYsTrAe8quarfJOmjrBcltt96Co48+WptTRPqSyO9/O/ZYzP9ovnb7U0/N0Za5vPLqqzjxxBNxzTUTsX/fvpg+bSoGDhyI119/A3GhADvyN2snTgfsXidLmeisqGCNT3FhNtajqGAdGg3erTQ2xYpduUUoyw4xA1KCaEirxZ/t1muToXmSY68zVWNLwWqf+8g8K7tztvpcitHmLemwRpskzZMUMbK8zuSdAizbLMveua8oSnTyYXjuBDO+WuzdImG2qHjzfTuumm6J+MQvJ58Tz2vUhsV6fuDKv+XEdfyoRp9viP9Z7MCV0yzYXqz6nPiumGbBN0siHwL53Bt2PPyMFdYm5yyZGO7FN60+H55SKMnj8eaHdq11Zd/6dhVfLrJrj6M8np7e+tCOOx/1nXdC/tabH9gw5e7EP9GItz6y44EnrT4dEOU5XLfRjr+N9P2KL/PFPP6CTZvczJMMJZehnE2b4n9e6cBlN1n2Xcbx3MbCH+0YcanvJdDHnrNpRZ9M0uZp5VqHNr9Nkcclt1jZWwmcc4UZ3y/1fk/JJSppcbvJz3Muxe/0WRaUNklZlmGvYyZa8OvaxG4dcfn8WwcmzrT4tObI8O7Lp1iw8EfvF5DFClx4vQUffWH3KuDk3zIPktzmb86WVNCieUj+8fhsHH/8cejYsSNqamqwfv16PPvs8/h+yRLt9g/efw/bd+zA1KnTvCZGu2XmjH0Toz3w4INxnRjNRUaHyDBguVQhE335mxCtqTRrJky2NO0yhTMlNzneEE1lNeYhy5KrTe5WkVUCR4gWHplMLtOSq83YKkVIyFltpQnWloZ0W6ZW8EhqsaQXJyPpvDrwIJ12jXvZr45W+eY+YH+Z8MygFTkffG5D0bbg60s/x8GH6rTJ23aXOmdFbQ3jRupwQG+dVvBIwRFq3hXpwDlkkE7roLhqrUPbt1BGD9Ph4P7O2WDlBG9J/C5GfskEXn8bokN5pYpH5tpQ4V2T+0hPB445XGZqlcs/0mwf+rNERigdO1iH6jpnYRzqtSgdp48erENWBrSWqljPPRKIjIw5uL+iPddyKbJpwdqU9CWR0WPy+vpzp9qsWW0TkbxvZTSNdGCVPiOel2kC6dDO+V4X8j4vr0DSYdovERERxR3TfomIiCipMO2XiIiI4i7x595NFCmU9kuJRa6py7TZ0odk6Qq7NlIi3mm/4Whp2q9cUz9msA7duiioqFKx5H+OkJ315Jr6347Qa9Pu/7rOgc1bQ1+Hl7TUXt0VVFWrWLLUETIDJD8POP4oPdKMwNqNDi0vJtrCSful5uvTS8Fhf/X9+nGZHWVNOsZSYmJB0gypkvZLiUWyPR6/26TlwbimlpbRKZ9/60zV9Qyki2Xab0uFk/YroXGP3G7Ups12kaLkseesePMD3+NITwPuvdmoTastc1a4yMlmyj1WvxNFSUfI2XcZ0aeXexs1tSqeeMmGl//t25HbaADunGLEJefpYTK5t7FslR1T77FGZXRKOGm/1LJO6JLSPfRoj5Rum4oPPrfjzsesaIzx/CvUiqNs4qU1Rtk0V6qk/VJiyUgHPvtXGvr28pPoaVe1iPjRV5q9ht/GIu23pcJJ+/3bETrMe86ktZBIsFpTdz1mwevvehcl/3rahL8f438bMlPpsIvM2tBSl8MPUfDhK2laa42/SaYemWv1mfPjuYeNGHGq/yRemcp92EWNzRo5FExL036p+WQUzpfz0rRQQ38p3T8td2hDZiMdsk8tw06tUZQqab+UWMacrccBvQMkeuoVHHawDsNP1cc87belwkn7lUh5WdtfMSJunWzUCjaX44/S4eTjAm+jU4GCK8Z5b+O2G5yPRaAZL6dNNHjlzEgBI0OvAyXxyroTx0eWwxRO2i8136VjDAGzleR1IJfhpKilxMVnJ4hUSfulxDNuZPATj3yjk8sTsUz7DUdL03777qfg0AN9Wzo8ZWUqOONE933OD5GSK39L0mQ9m+2ln4kUdoFIaJtnwXfecIOWOBt4fSXihNWWpv1Sy1x4TuiU7vM9EoUp8bAgCSJV0n4p8ci3+kCR5K6TbOeO3imurZ32G47mpf227DikGPO8jxRiofJypLOrS0H75mzDe1/k36FC6XJzZD8Qtpak/VLLyfMeMqU7wVOk2zoWJEGkStovJZ7iEoeWixOI9CPx7KgZi7TfcLQ07dfz38GKMa/005Lg2xClZe7bZeRR6G1474s8vjI9fjDS6dYWQQxMS9N+qeWPb7AgQnkNpWpKbqpgQRJEyqT9UsJ5Z4EdQRpItMsNnomesUj7DUdL035livSVa/wHhwk5ochImK+/dx/7e58ET8mVv+WZ0LynDFiy1B40XVaGF3/2jd3rODxH7/g7mb2zILJQupam/VLLvL0geLxBNFK6qXWxIAkhVdJ+KbFIoq3MPeHvpCkn2KUr7fhyoT3mab8tFU7a76wnbFprRNP7uDrsSjCc51wh/1vhwP99Jycb/9uQkTz/fNf7Pfjg01ZYrb7b8Bxl4znyR0Y1vfepLeA2ZB6LF9+K7H0eTtovNd+/PrBpI5QCpXRLkStz9lDiYkESQqqk/VJikRPu2GvMWoy4Z1EiHSvf+9SO8ZMtPpcHYpH221LhpP0uW+XABddatGLFk8xXctNdFsyb7/stdtJtFrw8z4bGRvd9pHj47r/OBNumQXNSYIyZaPaZ1Kxsr4pbHrDglXm+25hxv3MocH2D933kJDbyCnNUJtdqadovNZ8UmPJakPeBZ2HZaJaC1Y5rZnLIb6LjPCQtkCppv5RYCjvIsFPnTK3LfnOgwmM+jXim/bZUOGm/hw5QtJlqZQ4RudwU6nJFTrZz5lWZqXX1etUn0t2fg/op6NVNQVUt8PNKR8h+IDLRm4xWSksD1m1UW2VekHDSfqn5pPPqwAMVbabWX1Y6UB3b6avIA9N+iYiIKO44MRoRERElFfYhISIiorjjnIBESZb2azIBV1+k14Lptu104OV50qE09DV16Rch/U9++dWhjUyJN5lV84pxevTro9MCAl9604baJh1g45H226sHcPkYoxbo9/3/7PhiYeg+OoMPUdC7lw519Sq+/58D9Q2IO5mK/oSjdcjMVLCpyIFV6+L/nCcqCVYceowO7fMVrWOx5N4kQuZNt86K9voV8r5tTp+pZMaChCiJ0n5n3WzE5eP0XjkwM6+X4aR2zHrC6jfmXgLdzjrFHegmIxC+/t6Bm++3hOxA21omXa7HjOuMXvNyTJlgwCf/sWPyHda4pP1mpgPzX0vTOsG6Zvy85HyDNiLm6pstWPKzb2EiGTjyHPbv696GFCUyWueZ1+IzhFd2ferVBlx7qQGZGe7Hat0fDky716KNQCLvKedvv8GIdvnux2pHsQO3P2zVRnHFq4P4Y3eaMOwkndf79qtFDsy436KFPaYijrIhSpK0XwnXm3CRwSdgz/X7i29Zcf8c9x2kFWHBXydYn23YVGz+U8XwS80xj2SX1p27pznjFvxN9f3ZNzZce4s15mm/Sz9PQ9dOvtOPy+Mr35aHX9KI1b+7lx+4v4JP3kiD0eicyK6pua9b8cjc2Bcld0814uqL9T7HIa8rsxkYcakZfxSxKBHjz9PjkdtNPo+hnPzlOb/kRovW4hVLaSZor6v+ffy/bzdsUbUh4qFa+hIFO7USpVjar2SoyOUNf2m/8rssn3ChwStr5ezT9Bh4kM7/NgyKlj4rYW6xNvP6wMWIGH6KXms9imXa77iROnTrLJe0fNeXZbL40TvTvJbPuN6oNfUHCvG77lKDNjQ7lrp3UTDhIt9iRMh+yslu6kQ2jLta3e640X8OmatVQpKpY230mXocdECAzwaDot026ozUDAlkp1aiJEj7veIC5wk50Elclsvtl41x32fsSH3AmUqFzB0VaYJtS510nA4ZGcFD0OS2aRONMU37nXCxMWgOiuyTzJniIsWMXGoLNW3+OWcaYn4yCxKRpO2vXL6T/iVt3SnH65CTHTzg8sADdFpLWCyNG6kPOgW+3Bbr922ssCAhSoK0315dm/dWlY6uLnL/QC0E2jZ03tuIhT49Q29PCgPPVNZYpP22yw19HylK5Fu1tn5+8OdP24bDOeldLMkxBTuZCSnU8ptxvKlO0pcDZUN5rVcQ28eqU2GI961e0dZJRSxIiJIg7bdoe/OuY2/5072e3D9YwJy0nsR6qvLm9F2QE79Mhx/LtN+9laHvIycv13X78r1q0NYnbRu62Kcv7y5Tte0GY7WqzTretpAOHKqoFLF+Dov3BH9txeN9GyssSIiSIO33jfedmTeBLivIcjlpS6bMvm18bA962UL6WEhCaixJB0EZhRLsOORnzkvWmKb9PveGNehlJNmnVevcxZ5MRf7VYpmGPkgSuAos+DK2j+9HnwfvRCv7++nXdjTEuCNzIpIRNJXVgV+L8rpavd6BjVtie/Kft8AesoXE87MhlbAgIUqCtF/JX3nun86TTdMPUNfvMmrEs7lehg//8muAJF75sP1dxfwvYv/BJmm+gY5DigJ5bDzD8mKR9rvgSweKtsncE77ryzJ5XKfP8p7s5bFnnanEgQqfJ1+xRSWQryVkDptn/3qd+HusZH6UOS8xUViYLcC9/3AWok2fd2m9lEX+htK3tk//Y8eK1YHft3KbrJOKWJAQJUna72PP2fDUKzYtMMyT/D7nZZuWIuu13AZcPNmC9z+za3/XvVzFJ1/ZMe5as/ahHGtvfWjHnY9atVYKT3LSf/MDG6bcbY1L2u8p48xaEnHTk1NFFXDOVWZs3OK9vqQVj77KrH2L9lq/UsU9j1vw5MvxOfHL60SKvqoa7+NYudb5WBVtT83m/nB88Jkdk263YHeTyQhlwr2LJlm0YjjWLFbgwust+OgLu1cLnPxbvkDIbU3fO6mC85AQJVnar1xqkcmcevdQtLlEmnPZRYbRDhnonKl15RoHSsuREEYP0+Hg/jrs2qPirY9Czzgbi7TfgvbAxefKpGLAwv86mnVS6t9X0Trs1tQ5t5EIJwwZ4nv0YB2yMpzFE+ceCf6eOnKQTuscLa+pRJnVtkM7Z7K3kFTv8gokHab9EhERUdxxYjQiIiJKKuxDQkRERHHHOYQpae2/n4JBB+m06/X//cXulWWSymm/4Rh7toKrLzZpfUjeeM+KNz+Mfme9jgXAsUMk+M95vXvrjsS4Dt/StN/8PJmuXo80I7B2o8OnYywRtQ4WJJR0JK9jzr1GHHuEe/pkGUUi827c+7g1LiNHYpX221KDDwU+eiVdmwjMNc/GQ7eZ8MAtwCU3NOL7pZFvQzp/PnSbEaOHeefNLPrRjmmzLCgpQ1y0NO1XcmnunGLEJefpYTK5j2PZKjum3mPl6BSiVsZRNpRUpNf5V/PStZEQTSfLkpP5op8cuOwmS0qm/YbTYrH8y3Tt3/4SbMXxoxvx5/bwtyGFzrsvmLQRCv6SeGWOkDPHm6NSXLVEOGm/zz1sxIhT9T6zd8pxSNz7sIsasbu01XedKKWwUyulrCsvMKCgg28xIuTEc8rxevztCF3Kpf2G4+3n0v5KqvWfYKut86x3gm1LSevOMYMDJ/H26KbgotGxb4htadqvFDAjTzf4nUpcjkPWnTg+9smvRG1J4n9yE3m4YJQh6HTo8m32/BH6lEv7DYcUPMESbF39VyIx5mxD0OnT5a9fGONk0nDSfs8bbvCaPM53fSVlE1aJEgULEkoqnqmugU4cHWOczhmLtN9wSCNIsHyWYLc1V5eOwZN45RglVTWWwkn7lX+HCqXLzZFjjcYeEpE/LEgoqZSGyAaRb7m796gpl/YbDmkcCdZCEqr1pDl2FgdP4pXp3T1TdWMhnLRfSX61hxh4VFElxxqNPSQif1iQUFJ5e74taDS30aDg3U/tKZf2Gw4ZrhqqFWRrhLkm735qC9pCIubNj+1ZPJy0XzkOee0EIkXXOwtYjRC1JhYklFRee8emZU34+1Yu38Y/+8aGX36NfSBWa6f9hmPsRLPWChIowVZb59oQk3KEIFkvi38KkExqU7UMFRmOHWstTfuVUU3vfSppyf6PQ1J7X3yLBQlRa2JBQklFhl9KYunCHx1eJw9JgX3p3zZMviMBUs1aKe23pSprgFPGNmpDhz2LEvm39KEYcVkjivdEtg1J6L1qugVvfijBeO5tSCHw5SI7zp1gRl09Yi6ctN8Z9zuHAtc3eN/nv784MPIKs1aUEFHr4TwklLS6dVZw6IGK1vwuCau1dWgTab/hOPFvwA1XmrTLRC+9ZcEXC6O/DRkaO2SQDgY9sGqtI2Hm7Ghp2q9M9CaTqqWlAes2qti2M/H7JBElKqb9EhERUdxxYjQiIiJKKuxDQkRERHHHaX6IokgC2oYerUP7dgqK96j4abl0vo3uQyxzaBx3pE6bAE7m3JBOl9JJNZgunRStX4SMApZRSJIxE2+yL8cM1qFbF0Wb42PJ/xxafyAicveTk7RqIe9bGWGYyliQEEXJ2LP1uOMmIzq0c89nsXO3A3c8YsU3S6JTlYw8XY97pxu9ZqPdU6binset+Oxr36okNxt47E4jzjrFHRono5O+/t6Bm++3tEoH2uY44RgdHrndiJ7d3I20UpQ89pwVb36Q+PPIELWm/Fx535ow7CSd1/v2q0UOzLjfoo02TEW8ZEMUBZJz8sS9JrTP951a/bUnTDj5uMjfamefpsdzD5u0UTmeCtsDLzxiwvBTvbdhMgLvPJ+GYSd5J9jKv085XocPXkpDujMMOKYk/PBfT5u0lhFP7fIUPHybCVeMY2YMtV1pJuDdF9Nw+t/dxYiQf592gk67LT2yTMyExYKEKEJy4r9zilGb36PpzKiuD5S7p0WWFCvJtdIyEmgb8u3pnmnOhFvPAmbgQTr/icIGBf36KDjvrNif/O+aYtRC9/QBpqq9dbIRGXEolIgSwegz9TjogABJ4AZFu23UGalZtLMgIYrQiX/TIT9XCThNuxQM+++nw6EDwg+ZO2aIDp0Kg2+jayed1k/EZexIfdBp9mVeuVgn2PbdT+aO0WnhgYFkZSo448TU/MAlCmXcSH3QfmdyW6omT7MgIYqQpNk2J6iuMIIUYs9k2lD74iJpwcFO/NJCEWmicGschxRRsU4IJkoUnQpDvG/1irZOKmJBQhQhSYoNFWIndpeoEW2jOTy3IWnBwQLm7FFIFG6p5iT/ygduJI8VUTIr3iPRDon1vo0VFiREEVr8kwPlFarfYDZhd6j4fZNDm4Y8XEtXypA/7/weT7J8+y4HflnlbuuVUDtJDQ5E+pu8vSC2I1qKtqlYucZ/GJ+QlqaaWhkFxJE21DbNW2AP2UISaRJ4omJBQhQhCa+79x9WrR9H00s3cuKVRTIsNxJy3fiux5x/o2lR4vpdbvfc/Off2vHLrwGSeO0qVv+uYv4Xsf9gm/WEDXaHbxKvq8Pu/U9atfBBorbo0//YsWJ14Pet3CbrpCIWJERRICf2a2+1oLjJpYai7aqW3CuTl0XqP4sduHKaBdubTGq2fZeKK6ZZfOY6kRC5iydb8P5ndi1F2L1cxSdf2THuWjPMFsTcslUOXHCtBZu2eh9HSRlw010WzJufmh+2RM1hsQIXXm/BR1/Ytfeqi/xbPmfktlSdQJBpv0RRJJdBjhioQ0F7YNceFb+ujf61XumuMvhQHToVSJ8MYMXq0MWOzI8yZKBzptaVaxwoLUdCkJFHPboq2FsJ7XJTqBlnidqSDu2c73Uh7/PyCiQdpv0SERFR3DHtl4iIiJIK+5AQERFR3DFcj0LKzHCGockMmlv+dGDlmuj3i5BMlROO1iE3R8HW7arW8bGtpP1KH4ojBum0ETJLV9hRXBL9tN+27NLz9Ti4vw5le1W89JYNVTVISgMPVHBAHx0aGlR8v9SB2rp47xFRHAuSyZMn4awzz8T++/dFY2Mjli1bjgcfegibN28JeJ+xY8fgyTlPeC2T+/bpe0D4e00xIR0gb7zKgOsvM2jFiIvMqTF9lgWr1kWnMLnmEgOmTDAgJ9u9jc1/OjDjPit+/tWRsmm/0tH08btNOHWoO0RLhvrJcN1bHrSipjbytN+27Iqxetw1zQiT0f1YyetZRitdNT0Ow4vCdOABCp6cZdKKKpeGRmdx9Y8XbSELXqKUvGRz7DHH4J9vvIERZ4/CBRdeBIPRgLfn/RsZGRlB71ddXY1Bhw3e93PU0cdGut8UA7dNNuDma72LEXFAbwUfvJyGAftHPn2xnCAkbM2zGBH7dVfwzvMmHHawkpJpvxIe9/5Ladpyz0RPmfTorFP0ePu5NK21JZK037Zs3Egd7ptp9HkMZZ4Tycn591wTkkHvngo+ejUN/ft6vw8y0hXccJUB990cWWgjUSJp0SfYxeMvwXvvvY+NGzdi3br1mDJlGrp3746BAwcGvZ9MeFRaWrrvp6ysLNL9plbWpSNw7aUGv1Oiy0lTPuinXxvZh2G7fGDK1f4b6WQbOr0z+TUV037HnK3XCju/iZ56BYcdrMPwU/URpf22ZXdPdRYcgab0l0uQPbsh4cn7IyPNmfLalE5RcPk4g1a8E6WCiD6+cnNztf9WVlYGXS8rKws/L/0Jy35ZitdfexX9+vULur7JZNKGCrl+5P4UW+cMM3jN+tmUfECefoIOudnhb2PEqXoYgoRWyon5+KP02nwbqZb2O25k8KulculGUj8jSfttqwYdBOQFeT5cbo6woG5t6WnAyNP0fosRz8myzhuemsmv1PaE3alV3uyzZt2Dn3/+GRs2bAi43ubNmzFt+s1Yv349cnJycd21E/HJx/Nx0smnoLh4t9/73DB5EqZPnxburlEUSNqqTO8tHSgDkVaM9vkKqmvVsJNfpTNmqG/1BR0UrZ9Eoqf9hjoBOtN+ncfRqUDxulTj77H1TOINJ+23rerTs3lFWecET0zNzQGMHv1f/JEvDXzOCW29IHnooQcxoH9/nDP63KDrLV++QvtxWbZsGRYvWojx48dj9uzH/d7nmbnP4sWXXt73u7SQrFyxLNxdpTBIAaAP8bkuuQrllWpEya/BCh4hlyJkJEmqpf0WlzhQWKCDPkBRYmuS6BlO2m9btXFL83p57kzwxNSqasBiUWEyBX5tKbrmJSgTJYOw2ncffOB+nHbqKTh/zLiArRyB2Gw2rFm7Br332y/gOhaLBbW1tft+6uo4vi3W5n9h++u7fOCm4i++s/sdCdJcMipEgukCbsOu4vv/Jc4059FM+31ngR1BGki0y1WeiZ7hpP22VWs3AhVVEmoY/ET92POJHQgiOUPzv/TOM2lKXkMffMbRVdRGCxIpRoYNG4YxY8dh+/btLd+gTocDBwzAnpIQky1QXEnQ2dOv2AIWCpLG+vgLQaqJZpD5IB59NvA2rFbgoWcS+6QRbtrvh/9nx9oNqnacTcl9lq6048uF9ojSftuyux5zDusNVJR8tciO4j1IeE++bENtvfMLgD8y9HdHk7BFojZRkMhlmnPPHY1Jk29AbW0dCgsLtZ90mdXqL089NQe33XrLvt+nTrkJfz/hBPTs2ROHHnII5j7zNLp16455896O7pFQ1D3xkg33/sOCyirvD7zf1jlwzpVmbG6S1hoO+UC99SGL1sLgaf1GFedfbfZqVUiltF8p6MZeY9ZixD2LEknlfe9Tu3YfSeuNJO23LVvwpXOuHHmcmxZvH35uw4SbE7/QdT23o64wY3mTAMXqGhUPP2PFA09F9qWAKGnTfnft9N8iMmXqNG04sPjg/fewfccOTJ3q7JR677334Kwzh2mFS1VVFX5bvRqPPToba9aubZVwHmqdYa1HD9YhO1MmLFOxcUv0iwSDATjqcB3ysoGtO1Ss/yM5CpFopP3KvCKHH+KcqXXZbw5UVEY/7bctG3GaDgMH6FBaoeLN9+0+RUqy6Lufgn69FdQ3yoy+jqQ9Dmpbsltw/m5RQRIvLEiIiIiSD9N+iYiIKKlwFiUiIiKKO6b9UkKk/aaKzHRg4iUGLcNGHqtX35Fhm/HeKyKixMeChOKe9psqZt9l1KZ795yB9bYbVcx9zRbxEGkiolTHSzYU17TfVPHEPUZceI6EEXovl9lub5pgCBgiSERETixIKG5pv6lChkOff7beb56N63dpaSIiosBYkFDc0n5TxfWXG7Qo+EB5NrLcZFQwehjfbkREgfATkoKm/QbjSvtt67p38Z0y3p/9mplCS0TUFvETkuKW9psqtu1sXtrvH0WcUZWIKBAWJBS3tN9U8dw/bVpGSqBWElluNqv47GsWJEREgbAgobil/aYKyRZ580O71krStChx/f7Yc8kR5kZEFC8sSCiuab+p4o5HrHj539JS4r3cagMefNqKF9+yx2vXiIiSAsP1KCHSflOFpBZfPFqPHl0VbNziwHuf8jINEbVd2S1I++XkCBSSxQosWcoTa3PINPFvvM/WECKiluIlGyIiIoo7FiREREQUd7xk04p0Dj2yzXlQVB0ajfUwG+vRVkjOzcH9dDBbgR+W2lFZjTZBptQferQO7dspKN6j4qflDp+OrhRbRx6mQ6/uCqqqVe3So4wQI6LEw4KkNagKOlX3RPv6TtB5NELVG2uwM38zLIZGpKrePRU8OcuIIQP1+5ZZLCr+9YEdDz5l1UadpKqxZ+txx01GdGjnniRt526HNgLnmyWsSmLt6MN1WgJzn17u92BNraqNHpMRUUSUWHjJphV0q+yDDvWdvYoRkWHNRu+yg2G0m5CqgXwLXkvDoIO8j9tkUnDlBXo8eV/qhvFdMEqPJ+41oX2+9/IuHRW89oQJJx/Ht1osHX6IgrefN2ktI55yshXcM82IyVfwuxhRouGnZJSlWzOR31gIBb5TicsyvWpAh9quSEXXXmpEXo4zeK8pnU7BqDMMGHSQkpLDou+cYvSb9ivHLe6elrrFWCK67QYjdDpn3pI/0yYakJ8b890ioiBYkERZfn0hVARunpeipF1DIYLOy56kxo3U+y1GXKw2FecPT71vpif+TYf83MBpv1KU7L+fDocOSL1iLFFb6v52hB6GAMWIa76Y4ae6LysSUfyxIIkyg0O+CQc/8ehUvdbRNdVaCbKzQhy3AhQWKCmZjNyctN9UPPZEVNA+9ONstwMdO/D5IEokqXVWTABWvUV6tQZdx67YoSqOlJs8rbom+HE7VGB3Seo1De0pbV7abyoeeyIqKQv9OOv1wO5SPh9EiYQFSZRVZpRBCfKwqlBRmVkSqhElKb39sU1LAQ7EaFDw3qepN7ph8U8OlFeoWuKvP3aHit83ObBuI0+AsbCnTGYWtmshkMEK6M++4Yy6RImEBUmUyVwjezP2aIVHU7LMprOiLGsXUtEL/7KhrEKmT/c9djlZv/OxLSVPyjKU+d5/WLW+Ik0v3djtKmTRPY8z7TeWJNDQanU+/v48MteKmuCxGkQUYyxIWkFxXhFKs3fCoXh/A6szVaOow1rY9Kl5ciotB0ZdbsaPy7wvR9XVq3jmNRtmPpCaxy3mf2HHtbdaUNzkskzRdhXjJ1vw319S6xJdolvzu4oxE834fZP381G2V8UtD1jwyjy2jhAlGqb9tuaD69Ahy5KrjawxG+phMbSdKSJl/ocDD1BgNgNLVzpQ34A2QYaaHjFQh4L2wK49Kn5dm3otQsnmoH4KenVTUFUL/LzSoQUgElFsMO03Qag6B2rTK9EW/blD1X7aGpkm/udf2RqSSOQyYSpeKiRKNbxkQ0RERHHHgoSIiIjiLvWmzSSiuDion2T6GGHQA59/Y8d/m3RujoYO7ZyzsMpEfL+uc2DzVl6KIUoVLEiIKCLSgffj19PQs5t7+vxLxxiwt0LFBdc3Yt3GyB/g9DTg3puNWjyBzGfj8uMyO6bcY8Wu3SxMiJIdL9kQUdhMJuD7j9K9ihGXdvnA5/9KR5dOkT/AL8024cJR3sWIOOowHRa85puyTETJhwUJEYVNUnNzc/wHC8oyCbF76FZTRI/w8UfpcPJxer/JvRLm2KlAwRXj2NhLlOxYkBBR2MacbQgZLPj3YyL7mDl/uD5oJIEUKhecw4KEKNmxICGisOVkOVtCApHbjBKAHYFOhdLSooTs7EpEyY0FCRGFrboGQVtI5DYJsouETMcfrIVElDYj4ZeIEhsLEiIK27wFtqAtJOK7HyLLjXnvE3vQFhIJ0Ju3gNk0RMmOBQkRhe3pV23YWymJxmrA1pE7HomsieR/Kxz4v+/sWmJ0U9JysqNYxT/fZUANUbJjQUJEYZOguqHnNOL3zd5FifxbLrWcPLYRJeWRP8CTbrPg5Xk2NDa6tyEFynf/deCcK82oqol8G0QUX+yaTkQRkWLgtHFm9OwGnD/CoM2i+vk3Nqz+PXoPrNUG3D/HhidftuHIw3TaNlavV7GTE6IRpQwWJEQUFdt2Ak+82LqXTmpqpU8K05SJUhEv2RAREVHcsSAhIiKiuGNBQkRERHHHgoSIiIjijgUJERERxR0LEiIiIoo7FiREREQUdyxIiIiIKO5YkBAREVHcsSAhIiKiuGNBQkRERHHHgoSIiIjijgUJERERxR0LEiIiIoo7FiREREQUdyxIiIiIKO4M8d4BSk0D9ldwcD8dzFbgh6V2VFbHe4+IiChlWkgmT56E//v8M2zcsB6/rVqJ1159BX379gl5vxEjhuP7xQuxZfMf+Pabr3HyySdFss+UwHr3VPDx6yZ88246nrrfhBceMWHFV+m4d7oRRpa/REQUjYLk2GOOwT/feAMjzh6FCy68CAajAW/P+zcyMjIC3ueII4bguWfn4u2338HpZ5yJL7/6Sitk+vfv35JNUxLo0hFY8FoaBh3k/bIymRRceYEeT95njNu+ERFRYlO6dO2uhnvn9u3bY83qVRh97vlYunSp33VeeP45ZGRm4LLLrti37NNPP8batWtx6623N2s72dnZWqtMv/4Hora2NtzdpVY262YjLhujh8GgBFxn+CWNWLUu7JccERElkZacvyPq1Jqbm6v9t7KyMuA6Q4YMxpIlP3gtW7xoMYYMGRLwPiaTSTsI109WVlYku0kxMm5k8GLEalNx/nBetyEiIl9hnx0URcGsWffg559/xoYNGwKuV1hYiLLSMq9lpWVl6FhYGPA+N0yehOnTp4W7axQHJiOQnRW4GBE6BSgsCL4OERG1TWEXJA899CAG9O+Pc0afG909AvDM3Gfx4ksv7/tdWkhWrlgW9e1Q9FisQHWNitycwAWHQwV2l/ByDRERRemSzYMP3I/TTj0F548Zh+Li3UHXLS0tRUFhgdeywoIClJSWBryPxWLRrjW5furq6sLZTYqxtz+2wWYLXHAYDQre+9QW030iIqIULUikGBk2bBjGjB2H7du3h1x/+fIVGHr8cV7LTjhhKJYvX97STVOCe+FfNpRVwG9R4nCoeOdjG9ZtZAsJERFFWJDIZZpzzx2NSZNvQG1tndY/RH7S09P3rfPUU3Nw26237Pv9lVdfxYknnohrrpmI/fv2xfRpUzFw4EC8/vobLdk0JYHScmDU5Wb8uMzhtbyuXsUzr9kw8wFr3PaNiIhSqA/J5Zddqv33ow/f91o+Zeo0vPeec1m3rt20b8Muy5Yt1wqYW2bOwK23zERR0VZcedWEoB1hKXnt3K3iokkW9Oqu4MADFJjNwNKVDtQ3xHvPiIgoZechiRXOQ0JERJR8YjYPCREREVE0sCAhIiKiuGNBQkRERHHHgoSIiIjijgUJERERxR0LEiIiIoo7FiREREQUdyxIiIiIKO5YkBAREVFyTR0fb1lZWfHeBSIiImqF87YhmQ5o5Ypl8d4VIiIiCuM8Hmrq+KTIshGdOnVCXV0dkvFJkELq8MFHJOX+R6KtHntbPW7BY297zzuf87b3nLf0eZd19+zZg5RoIRHNOZhEJk9YqOowVbXVY2+rxy147G3veedz3vae8+Y+7839HGSnViIiIoo7FiREREQUdyxIWpnFYsE//vGE9t+2pq0ee1s9bsFjb3vPO5/ztvect9bznjSdWomIiCh1sYWEiIiI4o4FCREREcUdCxIiIiKKOxYkREREFHcsSKJo8qTrsWvndsyadU/AdcaOHaOt4/mzZfMfSDbTp031OY7vFy8Mep8RI4Zr68jxfvvN1zj55JOQjFp67KnynIvOnTvjmaefwpo1v2HzJufzOHDgwKD3OfbYY/DVl/+Hoi2b8N8flmiPR1s4djnups+7/BQWFiKZLP3fj36P46EHH0jp93pLjzuV3uc6nQ4zZtyM//30X+21/uN/f8CUKTeFvF+k7/Wkmak10Q0aNAjjx1+MtevWhVy3uroaQ084cd/vqpqcA51+/30Dxl1w4b7f7TZbwHWPOGIInnt2Lh5++BF8/c23GD36HLz26is4Y9hZ2LBhA1L52FPlOc/Ly8PHCz7Cjz/+hPHjL0V5eTn69O6NqqqqgPfp0aMH3vzXG/jXm29h0uQbMfT44/D47MewZ08JFi9ejFQ+dpfjh56Amhr3TJVlZWVIJmeeNQJ6vX7f7wMG9Me777yNTz/7LKXf6y097lR5n4tJk67HZZdegpumTMWGDRsxaNBAzHniH6iprsarr72O1nqvsyCJgszMTMyd+zRmzLwFN914Y8j15UVaWlqKZGe325p9HBOuugoLFy3C8y+8qP0+e/bjOOGEobjiistw6623I5WPPVWe80nXX4ddu4oxddr0fcu2b98e9D6XXjIe27Ztx3333a/9vmnTJhx11FGYePWEpCpIwjl2l7Kycu1Elaz27t3r9fvkydejqGgrfvrpfyn9Xm/pcafK+9xVVH711X/w7bffab/v2LED54wahcMOOwyt+V7nJZsoeOihB7QnbsmSH5q1vgQN/bz0Jyz7ZSlef+1V9OvXD8mod+/eWLF8GX768QfMfeZpdOvaNeC6Q4YM9nl8Fi9ajCFDhiDVjz1VnvPTTz8Nq377DS+++Dx+W7US//nqC1x0kbuVyB95fpf8sMRr2SLteR+MVD92l6//86UWQvbO2//GkUccgWRmNBpx3rnn4p13320z7/XmHneqvM/FsmXLcfzxx6FPn97a7wcddCCOOupIfLdwYau+19lCEqFRI0fi0EMOxVnDRzRr/c2bN2Pa9Juxfv165OTk4rprJ+KTj+fjpJNPQXHxbiSLFStXYsrUadrxdOzYCdOnTcH8+R/ipJNP9Zv8KNfNy0q9m6pLy8rQMcmup4dz7KnynPfs2VP7FvTSy6/gmafnYtBhg3D/fffBarXi/fc/8Hufwo6FKPV53kuRm5uL9PR0NDY2IlWPvaSkBDNvuRWrVv2GtDQTLrrwQnzwwXsYMWIkVq9Zg2Q0bNgZ2nP33nvvB1wnld7rLTnuVHmfi7lzn0VOdja+X7wIdrtdu3T1yKOPYf78BQgkGu91FiQR6Nq1C+67715ccOFFMJvNzbrP8uUrtB+XZcuWYfGihRg/frzWtJksFi5ctO/f69f/jpUrV2rfDEaePQJvvxP8W0Sya+mxp8pzLh3dfvvtNzzyyKPa72vWrsWA/v1xySXjA56UU0U4x7558xbtx/NbZ69evXD1xAm48cYpSEYXXnABFi5cmPTp661x3KnyPhcjzz4b5547GpMm3YANGzfi4IMPwqxZ92rH35rvdV6yicDAQwdq3wa++vILbPuzSPv529+OxVVXXqn9Wz7EQrHZbFizdg1677cfkplcI9+ypQj7BTgOua5aUFjgtaywoAAlKXC9NdSxp8pzLt/4N270HjXwx6ZN6Na1W8D7lJaUotDneS/UHrNkaR0J99j9+fXXX5v9Okk03bp1w9Chx2PevHeCrpdq7/XmHneqvM/FXXfdgblzn8PHn3yC33//HR9++BFefvkV3DB5Elrzvc6CJAJLfvhBa6Y/7fRh+35+/XUVPpo/X/u3w+EI/QTodDhwwADsKSlBsnfslW9/8sHtj3xzkF7XnqSj2/Lly5HsQh17qjznv/yyDH379vVa1qdPH+zcuSPgfeT5Pf644/087+5vkql67P7IN82SPcn1vLtcMG6sNkLom2+/Dbpeqr3Xm3vcqfI+F+kZGXCo3ucvuXSjBPmSHY33OguSCEh/ARnG5vlTX1+PioqKfcPbnnpqDm679ZZ995k65Sb8/YQTtGvShx5yiLNDZLfumDfvbSSTu++6E8cccwy6d++u9ch+7dWX4XDYMX/Bx36P+5VXX8WJJ56Ia66ZiP379tXm8pA5HF5//Q0km5Yee6o859J/YvDgw3HDDZO1b/mjzzkH4y++CK//0/0cynHL8bvIEMBevXrizjtu1573yy67FGefPUL7W6l+7BMmXIUzTj9dW79///7a/ETHHXcc/vlG8r3mFUXBuHFjteZ6OTF5SuX3ekuOO1Xe5+Lrr7/BjTfegFNOOVn7nBs2bBiumXg1vvziS7Tme519SFqZNOk6HO6x6Hn5+Zg9+1HtUo/MYfDb6tUYNeoc/PFHck2g06VLF22ugXbt8lG+dy9++fkXjDh71L6hck2PW66fT5p8A26ZOQO33jJTGz535VUTkmpegnCPPVWe81WrVuGqCVfjtltv1T58Zdjr3ffc69XRrWOnTl6XMWSdSy69DLPuvQdXXXWl1rnv5hkzk2rIb7jHbjIacffdd2kTqjU0NmidHWXuGpnLJNmcMHSodmLyN8okld/rLTnuVHmfizvvvAszZ96Mhx96EB06FGh9R95869+YM+dJtOZ7XenStXtyztxCREREKYOXbIiIiCjuWJAQERFR3LEgISIiorhjQUJERERxx4KEiIiI4o4FCREREcUdCxIiIiKKOxYkREREFHcsSIiIiCjuWJAQERFR3LEgISIiorhjQUJERESIt/8HglFAOfRSd+gAAAAASUVORK5CYII=" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 4 }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -203,19 +292,34 @@ "user_tz": -540 }, "id": "7P5trqnBvyca", - "outputId": "6f52a885-82bb-430d-eb2c-32b476f449e4" + "outputId": "6f52a885-82bb-430d-eb2c-32b476f449e4", + "ExecuteTime": { + "end_time": "2026-06-22T10:46:30.333623500Z", + "start_time": "2026-06-22T10:46:30.193086800Z" + } }, - "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", - "\n", - "X_train, X_test, y_train, y_test = ...\n", + "X_train, X_test, y_train, y_test = train_test_split(X2, y2,\n", + "test_size=0.5,random_state=0)\n", "X_train.shape" - ] + ], + "outputs": [ + { + "data": { + "text/plain": [ + "(75, 2)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 5 }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -231,19 +335,34 @@ "user_tz": -540 }, "id": "XWd4ENPevyZp", - "outputId": "241c39a5-e686-4d04-b60e-b6177f92fb7e" + "outputId": "241c39a5-e686-4d04-b60e-b6177f92fb7e", + "ExecuteTime": { + "end_time": "2026-06-22T10:46:44.007130400Z", + "start_time": "2026-06-22T10:46:43.917089900Z" + } }, - "outputs": [], "source": [ "from sklearn.linear_model import SGDClassifier\n", - "model = ...\n", - "model....\n", - "model...." - ] + "model = SGDClassifier(max_iter=1000, random_state=0)\n", + "model.fit(X_train, y_train)\n", + "model.coef_, model.intercept_" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "(array([[ 107.75047259, -153.43415249]]), array([-96.16214183]))" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 6 }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -259,16 +378,29 @@ "user_tz": -540 }, "id": "tmsHD-bkvyWx", - "outputId": "7f23e972-9575-4fdb-d8c8-0e4a9fd1522e" + "outputId": "7f23e972-9575-4fdb-d8c8-0e4a9fd1522e", + "ExecuteTime": { + "end_time": "2026-06-22T10:46:59.099360800Z", + "start_time": "2026-06-22T10:46:59.056109Z" + } }, - "outputs": [], - "source": [ - "model...., model...." - ] + "source": "model.score(X_train, y_train), model.score(X_test, y_test)", + "outputs": [ + { + "data": { + "text/plain": [ + "(0.9866666666666667, 1.0)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 7 }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -285,21 +417,45 @@ "user_tz": -540 }, "id": "2EOUe4CNvyT6", - "outputId": "bbb89b79-27bf-4390-a838-e01b61d735ce" + "outputId": "bbb89b79-27bf-4390-a838-e01b61d735ce", + "ExecuteTime": { + "end_time": "2026-06-22T10:47:10.963694900Z", + "start_time": "2026-06-22T10:47:10.784655900Z" + } }, - "outputs": [], "source": [ "import numpy as np\n", - "\n", - "w0 = ...\n", - "w1 = ...\n", - "b = ...\n", - "\n", - "plt....\n", - "x0 = ...\n", - "x1 = ...\n", - "plt.plot(x0, x1)\n" - ] + "w0 = model.coef_[0, 0]\n", + "w1 = model.coef_[0, 1]\n", + "b = model.intercept_\n", + "plt.scatter(X_train[:, 0], X_train[:, 1], c=y_train)\n", + "x0 = np.linspace(4, 8, 50)\n", + "x1 = -(w0 * x0 + b) / w1\n", + "plt.plot(x0, x1)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 8 }, { "cell_type": "markdown", @@ -314,7 +470,6 @@ }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -330,25 +485,40 @@ "user_tz": -540 }, "id": "EcJl93ESroDe", - "outputId": "44e40dc8-ab01-481c-bc4a-909ec0f71077" + "outputId": "44e40dc8-ab01-481c-bc4a-909ec0f71077", + "ExecuteTime": { + "end_time": "2026-06-22T10:47:26.903802Z", + "start_time": "2026-06-22T10:47:26.863789600Z" + } }, - "outputs": [], "source": [ "from sklearn import datasets\n", "from sklearn.linear_model import SGDClassifier\n", "from sklearn import metrics\n", - "\n", - "iris = ...\n", - "X, y = ...\n", - "X_train, X_test, y_train, y_test = ...\n", - "model = ...\n", - "model....\n", - "model...., model...." - ] + "iris = datasets.load_iris()\n", + "X, y = iris.data, iris.target\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y,\n", + "test_size=0.3,random_state=0)\n", + "model = SGDClassifier(random_state=42)\n", + "model.fit(X_train, y_train)\n", + "model.score(X_train, y_train), model.score(X_test, y_test)" + ], + "outputs": [ + { + "data": { + "text/plain": [ + "(0.7619047619047619, 0.6666666666666666)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 9 }, { "cell_type": "code", - "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -364,12 +534,29 @@ "user_tz": -540 }, "id": "j26qqvkj2gIP", - "outputId": "0e135773-81aa-4c20-a3c7-65a6625fa462" + "outputId": "0e135773-81aa-4c20-a3c7-65a6625fa462", + "ExecuteTime": { + "end_time": "2026-06-22T10:47:38.917927300Z", + "start_time": "2026-06-22T10:47:38.863396600Z" + } }, - "outputs": [], - "source": [ - "model...." - ] + "source": "model.coef_, model.intercept_", + "outputs": [ + { + "data": { + "text/plain": [ + "(array([[ 6.92041522, 28.83506344, -34.02537486, -14.99423299],\n", + " [ 21.50537634, -98.79032258, 24.64157706, -96.99820789],\n", + " [-110.42765085, -78.79320445, 165.78793204, 145.57703574]]),\n", + " array([ 9.95304754, 111.13821101, -117.26491128]))" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 10 } ], "metadata": { From ae03ba3850889002450de6fb6408cd57d4d70c13 Mon Sep 17 00:00:00 2001 From: goforit615 Date: Mon, 22 Jun 2026 20:00:22 +0900 Subject: [PATCH 3/3] complete ml-05 --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 027f4ab..f27331e 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ - [x] ml_02_지도학습_KNN - [x] ml_03_지도학습_LinearRegression - [x] ml_04_지도학습_Ridge_Lasso_Regression -- [ ] ml_05_지도학습_Linear_Classifier +- [x] ml_05_지도학습_Linear_Classifier ![repositories](images/repositories.png) `git clone 학생저장소`