From 6431f080c9eb52d0a475ae6fbabd9f8a6468cb16 Mon Sep 17 00:00:00 2001 From: "nikbel2004@outlook.com" Date: Mon, 10 Feb 2025 01:19:35 +0400 Subject: [PATCH] laboratory_7 --- laboratory_7/lab7.ipynb | 2748 +-------------------------------------- 1 file changed, 24 insertions(+), 2724 deletions(-) diff --git a/laboratory_7/lab7.ipynb b/laboratory_7/lab7.ipynb index 61fd7a4..d05d95d 100644 --- a/laboratory_7/lab7.ipynb +++ b/laboratory_7/lab7.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -22,7 +22,7 @@ " dtype='object')" ] }, - "execution_count": 69, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -244,7 +244,7 @@ "[5 rows x 21 columns]" ] }, - "execution_count": 70, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -255,7 +255,7 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -532,7 +532,7 @@ "max 98199.000000 47.777600 -121.315000 6210.000000 871200.000000 " ] }, - "execution_count": 71, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -543,7 +543,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -611,7 +611,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -641,7 +641,7 @@ "dtype: object" ] }, - "execution_count": 73, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -675,7 +675,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -697,7 +697,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -793,7 +793,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -802,13 +802,13 @@ "(
, )" ] }, - "execution_count": 76, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -842,7 +842,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -855,7 +855,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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wgIaGBmxtbZGWlibq4VFUtUWDAYqqouzsbGzevBmTJk1C+/btAQB5BcJJZBNWPzWNuLg45s2bh4iICKxYsQIHDx5EmzZtsH//fuTm5op6eBRV7dBggKKqyNHREYmJidi0aRP/MQkx4fxoCaufmqp+/frYvHkzIiIiMG7cOCxbtgza2tpwdXWlOw8o6i/0NwlFVUFaWhq2b9+OWbNmoU2bNvzHWyrKQtBH67D+vx+qbE2bNoWTkxPev3+PDh06wMLCAvr6+nj48KGoh0ZR1QINBiiqCnbv3o2cnBysW7euyOOykmJQFfApg6qKMpCVFBNoH7WNjo4Obt68CX9/f0hISGDAgAEYMmQI3r59K+qhUZRI0WCAoirpx48f2LdvHxYtWoSmTZv+87yRlpJA6wwYaSoJpO26oHfv3njy5Anc3Nzw5csXdOzYEZaWloiNjRX10ChKJGgwQFGVtHXrVkhISGDlypXFPm9hoCrQOgOTu9edw4oEgcViwdTUFKGhoXB0dMSdO3egoaGBVatW0Z0HVJ1DgwGKqoSvX7/CyckJq1atQsOGDYu9RkO5HjoqS4Jwma0FwGGzYKjeCOpK9Rhtt64SFxfH3LlzERERgVWrVsHR0RFt2rTB3r176c4Dqs6gwQBFVcKGDRugqKiIhQsXlnqdWuITgDCbtS7GZsFhjB6jbVJAvXr1sGnTJkRERGD8+PFYuXIltLW14eLiwtjOg6zcAoR+T8ermFSEfk+nRaOoaoOeWkhRFfT+/Xu0b98ehw8fxpw5c0q8jhACLS0ttB44GZ/qd2Gs/+Q7ByEZF4wRI0age/fu6N69O3R1dSEmRpMJmfTp0yfY2tri5s2b6NSpE3bu3AljY+MKtxOekAGXoBj4hiUiJiW7SDEqFgBVBRkYaSnBwkAVGsp0tocSDRoMUFQFjRo1Cu/fv8fHjx9LPTb3zZs36NixI7y8vPBFSh27732uct/LBmpivWk3pKWlgcX6k5xICIGUlBR69OiBixcvQllZucr9UP8TGBiIFStW4OnTpxg0aBB27NiBDh06lHlfbEo21tx4B/+IJHDYrFLzRwqfN1RvBIcxemgh4J0oFPVfdJmAoirg6dOncHd3h729famBAABcvXoV8vLyGDBgAOYbaWD7WD1IirErvMOAw2ZBUoyNHWP1sKC/Bnbu3AngTxBQGMvn5OTgxYsXlXtRVKl69eqFwMBAXL9+HV+/fkWnTp0wbdo0xMSUfGrkpRcxMN73GE8ikwGgzETSwuefRCbDeN9jXHpRt0+kpISPzgxQVDkRQmBkZITU1FS8evUKbHbJsTQhBNra2ujZsydOnz7Nfzw2JRuzjj/Ep3QWOCyAW8pPX0mfFnNyctC8eXMkJycXud7LywtDhgyp2oukSpWfn4+TJ09i48aNSEtLw8KFC2Fra1skidTRN5yRWaDlJpqYb6RR5XYoqjzozABFldO9e/fw+PFjbN26tdRAAPiTV/D582eMHz++yOMtFGQgHuiEBoGHMKV7S6gpyvxTqZAFQE1RBlMM1OCzpA/OWxkUmTaWkpLC0qVLi4yBzWbjy5cvoLG9YImLi2P27NmIiIiAra0tjhw5gjZt2mDPnj3IycnBpRcxjAQCALD73mdcpjMElJDQmQGKKgcejwd9fX1IS0vD39+fv15fkvXr1+PQoUNISEgospwQFxcHNTU1HDlyBDY2NgD+ZJhHJWchr4AHCTE2WirKlllZMDU1FSoqKsjJycHYsWPRokULHDhwADNmzMDhw4chJSVV9RdNlenHjx/YvHkzjh8/DrW2nSE2ahNyGTw8SlKMDZ8lfWkOASVwNBigqHK4cuUKzMzM4OfnB0NDw1KvJYSgbdu2MDAwwJkzZ4o8t3nzZuzYsQPx8fGoX79+lca0efNmeHl54cGDB5CVlcW5c+dgbW2Njh074tq1a2jWrFmV2qfKLywsDFYXXiOeV4/RQlMcNgs9WyvivJUBY21SVHFoMEBRZcjPz4euri40NDTg6elZ7DXZ2dlo1aoV1NXV0adPH2zfvh0eHh4YNmwY/xoul4vWrVtj4MCBcHZ2ZmRshJAisxQvX77EmDFjUFBQgGvXrqFnz56M9EOVLjwhAwP3+wmsfZ8lfWiRKUqgaM4ARZXhzJkzCA8Px9atW0u8RkxMDElJSXjy5Am2b98OALC3t8fBgweRmZkJ4E/OQUxMDKytrRkb23+XK7p27YqXL19CXV0d/fr1YyzooErnEhQj0HMoLjyjuQOUYNFggKJK8fv3b2zatAkTJ05Ex44dS7xOQkLin2n558+fY9GiRTh79iwA4Pjx42jfvj309fUFOWQoKyvjwYMHmDlzJmbNmoW5c+ciLy9PoH3Wdb5hiQI9h8L3c6JA2qaoQjQYoKhSHDlyBAkJCdi8eXOZ12praxf5N4vFwoABAzBjxgzEx8fj9u3bsLa2LjP5kAkSEhI4cuQIjh8/DmdnZwwYMAAJCQkC77cuyswtQExKtkD7iEnOpqWLKYGiwQBFlSA9PR0ODg6wsrKCurp6mddraWnxt/ux2Wz069cPt2/fhrS0NE6fPg0JCQlYWFgIethFzJo1C48ePUJERAS6dOlCCxMJQHRyFgSdeEUARCVnCbgXqi6jwQBFlWDPnj3Izs7G+vXry3W9hoYGeDweWCwW+vXrBw8PD0hLS4PH48HZ2RkTJkyAvLy8YAddjJ49eyI4OBjNmzeHoaEhzp07J/Qx1GZ5DG4lrA79UHUTDQYoqhgJCQnYu3cvFi5cCBUVlXLdU/hG365dO34gAAAPHjzA169fGU0crCgVFRU8fvwYFhYWmDZtGhYvXoyCgspPO9PT9/5HQkw4v0aF1Q9VN9FjziiqGA4ODhATE8OqVauKfb64QkHjxo2Dn58f9u/fzw8EgD+Jg23btkWPHj2ENfxiSUpKwtnZGZ07d8bixYvx7t07XL58GY0aNSrX/fT0veK1VJQFCxDoUgHr//uhKEGhdQYo6j+ioqKgpaWFDRs2YM2aNfzHK/NmmJCQgObNm2P37t1YtGiRcF9IKR4/foxx48ZBVlYWN2/eLHWnBD19r2x9d/kiWoBJhGqKMni83Ehg7VMUDQYo6j8sLS1x9+5dfPnyBbKyslV6M7zo7Ij169fj+/fvUFBQEOKrKFtMTAxGjx6NT58+4dSpUzA3N//nmksvYrDBPRQFPFKhrXMcNgtibBY2jdSFub4qk8Oulja6h+J8ULRAthdy2CxMMVDDxpG6jLdNUYXoIhRF/SU0NBTnz5/HunXrICsrW+WjaJ3uv8O4ceOqXSAAAKqqqggICMDYsWMxceJErFq1Clwul/+8o284Vl9/h9wCXoXf5Lg8gtwCHlZffwdH33Cmh17tWBioCrTOwOTutT+gokSL5gxQ1F/s7OygpqaGWbNmVekoWm7hJ+mu5miiIVH2DSIiIyOD8+fPo3PnzlixYgXevHmDixcvwjsig9HT9xrLScKsFs8QaCjXg6F6IzyJTBbI2QS0FDElaHSZgKL+X1BQELp3747z589DTKsPVl9/x1jbO8bqVfs3Qx8fH5iZmUG+WRtwRm5EHpe5Xw114fS92JRsGO97TE8tpGokukxAUfhz4I+trS3atWuH3oNGYYN7KKPtr3cPRayAq9RVlbGx8Z+iRN0mITef2a2CBTyCNTeYC66qoxYKMtjE8Lr+5pG6NBCghIIGAxSFP5+KfX19sXXrVqxz/4AChtd/a8qbIVe2MbiNNcBic5htl0fgH5GEiMQMRtutbsz1VbHcRPP//1XZ76E/9/WSS672s0lU7UGDAarOK5wV6NGjB7S79YN/RBLjyWA15c2Qnr5XdfONNDCrgwx4+XlgVzAg4LBZkBTjQJ/3GRfXWcLd3V1Ao6SoomgwQNV5165dQ3BwMLZt2wbX57F1+s2Qnr5XdVwuF9d3LYfCs8Po2eZPQaeyvqcKn+/ZWhE+S/ri8rZF/F0ewcHBAh8zRdEEQqpOKygoQLt27dCqVSvcuXOnThePycwtgN5Gb4FX0nu/cRBkJWvvRqZjx45hzpw5ePLkCXr06PG/YlWfExGTXEyxKkUZGGkqYXJ31SK7Bn7//o1+/fohNjYWQUFBaNGihdBfC1V30GCAqtNOnjyJmTNnIiQkBBpt9er0m2Ho93QMOxQg8H48F/SGrkoDgfcjCsnJydDU1MTIkSNx+vTpf54vrox1ad8LCQkJMDAwQP369REQEID69esLcvhUHUaXCag6KycnBxs3boSZmRk6depU54+ipafvVd3atWvB5XKxffv2Yp+XlRSDrkoDdFJtCF2VBmUGhcrKyvDy8kJMTAzMzMyqdLgURZWGBgNUnXX06FHEx8fD3t4eAH0zpKfvVU1wcDCOHz+OzZs3Q1lZmbF227ZtCzc3N/j4+GDhwoWgk7mUINTOn0qKKsOvX7+wdetWzJgxAxoaGgDom2Hh6XuCVFtP3+PxeJg/fz50dXUxd+5cxts3NjbGsWPHcPToUezfv5/x9imq+i1cUpQQ7N27F1lZWVi/fj3/sbp+FK2spBhUFWQEmkCpqihTLfMlqurcuXN49uwZHj16BDExwbw+KysrREREYNmyZWjVqhVGjx4tkH6ouql6fkShKAH6+fMn9uzZg/nz56N58+b8xwvfDAWpur8ZGmkpCXRrpZGmkkDaFqW0tDSsXLkSEydORN++fQXa19atWzFu3DhMmjQJL1++FGhfVN1CdxNQdc6SJUtw6tQpREZGQlFRschzdf0o2vCEDAzc7yew9jl3HdBIogD16tVDQUEB8vPzweVyISMjA1dXVzRp0kRgfQvKokWLcOrUKXz69AnNmjUTeH+/f/9G//79ERUVhaCgIKiq0iqFVNVV348oFCUAMTExOHLkCNatW/dPIAD8OYr2zNMogfRdE46iFeTpe3qNJeD+5ikii/n8IaipdUF7+/YtHB0dsX37dqEEAgAgLS2NW7duoXv37hg2bBgCAwPplkOqyugyAVWnbNy4EfLy8li8eHGxzxe+GTI9Vc5hs9C1mSxaKVb/Q2ccxuhBjOHXL8Zm4dDUnjh37tw/z7HZbFhZWdW4WQFCCBYsWAANDQ0sWrRIqH0rKSnB09MTcXFxGD9+PPLz84XaP1X70GCAqjM+fvyIs2fPws7ODnJyciVeJ4g3Q/C4uGVnDklJSWhpacHU1BRr167FuXPn8PHjR2b7qqIWCjLYMFyH0TYLT9+bPHky5s6dCzb7f796eDwe/Pz8cO3aNfB41XPbZXEuXboEPz8/HDx4EBISEkLvX0dHB9euXcPDhw+xYMECuuWQqhKaM1ALVbTKWV1hamqK4OBghIWFQVJSstRrL72IwerrzJ0yuNZYDfOGdOZ/gmOz2eBwOMjPz4e4uDiysrIgLi7OWH9VQQjBrFmzcO1TFhoYTq5KSwBYkPvyEN77lvKn0XNzc9GzZ0+8efMGLBYL/fv3B5fLxYMHD6Cjo4M1a9bA3Ny8Wi8dZGRkQFtbG927d8e1a9dEOpbTp09jxowZ2LVrF5YvXy7SsVA1V/X9aaMqhF//PCwRMSnF1D9XkIGRlhIsDFShoVyvpGZqrRcvXuD69es4e/ZsmYEA8Oco2qTMXOy+97nKfa8w0cIsI3Wk2NvD1tYWhBDweDzweDyw2WzMnz+/WgUCK1euxMmTJ3H27FlI6Ohhg3soCnikQjkEHDYLYmw2ZrSXg+OFK+jSxQXXrl1Dr169ICkpiRs3bqBDhw5IT0/HwYMHoaWlhWfPnmHr1q2YMmUKNmzYAFtbW0ydOlUkn7rLYm9vj5SUFOzdu1fUQ8H06dPx5csXrFy5Eq1bt8bYsWNFPSSqBqIzAzVcbEo21tx4B/+IJHDYrFJ/YRc+b6jeCA5j9NBCwNvoqpOBAwciPj4eb968AYfDKfd9l17EVOHNkIXNI3X5Z9L//v0brVq1QmJiIn9Kt0GDBoiIiECjRo0q9oIExMHBAWvXrsXBgwexYMECAJX7HtORB47PMkILBRkkJCRg/PjxePbsGRwdHWFtbQ0AeP78OUJDQzF9+vQibbx69QoODg64du0amjVrhlWrVsHKygrS0tICe90V8enTJ+jp6WH9+vVYt26dqIcD4M9Si4WFBW7duoVHjx6hW7duoh4SVcPQYKAGq+ob1aaRujDXr97Z7Ux48OABjI2NcePGjUoVavn7zRA8LsAuOZgoK+BydnbGrFmz/lzL4UBCQgJNmzbFhQsX0KNHjwqPjUmHDx/G/PnzsXnz5mLf5Mp7+p7b9kUIffoA27dvx8qVK8FisZCXl4elS5fi8OHDsLGxKdc6+4cPH/4cK+3qisaNG2PZsmWYPXs26tUT3cwWIQQmJiaIjIxEaGgopKSkRDaW/8rJycGAAQMQERGBoKAgtGzZUtRDomoQGgzUUI6+4YxMYS830cR8Iw0GRlQ9EUJgYGAANpuNp0+fgsWqXGJgWloamul0gfGcTUiTaVaho2j/VlBQAB0dHURERODAgQMYNmwYJk+ejBcvXsDOzg52dnYiWSt3cXHB5MmTsWTJEuzZs6fMr1NpeSlDhw7FnTt3AACjR4/GmTNn0KDBn1MKnZ2dMW/ePOjr68PNza1cOwi+fPmCHTt24MyZM6hXrx4WL16MBQsWQF5evmovuhKuX78OU1NT3L59G8OHDxd6/2X5+fMnunfvDikpKQQGBorka0TVTDQYqIGYTm7bMVaPP5Vd2xT+8n748CGMjIwq3c7p06dhZWWFuLg4qKioIDElHVpde8Ns0mQsmDu7QkmaT58+hYeHB+zt7cFms1FQUICtW7fC3t4e+vr6uHDhAtq0aVPpsVbU7du3MWbMGEydOhUnT56sdMBUaNy4cfykOg6HA1VVVdy6dQt6enoA/rx+U1NTsNls3LhxA/r6+uVqNzY2Frt27cKJEycgLi6O+fPnY8mSJWjcuHGVxlte2dnZ0NHRgZ6eHjw8PITSZ2WEhYWhR48e6NKlC7y8vKpNPgpVvdFgoIaJTcmG8b7HyGXw5DtJMTZ8lvStdTkEXC4Xenp6aNGiBby9vavU1sCBA8HlcvHw4UMAwKlTpzBz5kxERkYyNh379OlTTJ48GYmJiTh48CAsLS2r/MZcFl9fXwwZMgTDhw/HpUuXGJmVGDNmDG7evMn/N4fDgZiYGG7evInBgwcDAL5//46xY8fi9evXcHJywrRp08rdfkJCAvbu3YvDhw+DEAIbGxssX74cKioqVR57adavX48dO3YgNDQU6urqAu2rqh49egQTExNMmzYNx48fF/j3EVXz0ToDNcyaG+9QwHCp3AIewZobzM00iNLly5cxb948xMTE4Pz58/j48SMcHByq1OaPHz/w8OFDTJo0if/Y8ePHMWjQIEbXZXv06IHXr19j/PjxmDFjBsaPH4/k5GTG2v+vFy9eYOTIkejbty9cXFwYW54oKCj457H8/HzExsby/62iooLHjx/DwsIClpaWWLRoUbkL5ygrK2PHjh2Ijo7G8uXLcerUKbRq1Qpz585FVFQUI6/hv758+YKdO3dixYoV1T4QAIB+/frB2dkZzs7O2LVrl6iHQ9UANBioQcITMuAfkcR43Xwuj8A/IgkRiRmMtisKbm5uOHLkCNq0aYMFCxZg5MiR6NKlS5XavHLlCjgcDkxNTQH8KUEbFBTETwRkUr169XDq1Cm4ubnh4cOHaN++PXx8fBjvJzQ0FIMHD4aenh6uX79eru2W5VUYDBQWFurfvz8iIiL++XpJSkrC2dkZhw8fxpEjRzBo0CD8/Pmz3P0oKipi06ZNiI6OxsaNG3H16lVoaGhg+vTp+Py56vk0f1u8eDGUlJRga2vLaLuCNHXqVKxbtw6rVq2Cm5ubqIdDVXM0GKhBXIJiBHqi3IVnMQJpW5jy8vIA/HlDyszMxL1797Bx40ZkZmZWuk1XV1cMGTIEDRs2BACcOHECysrKGDFiBCNjLo6pqSnevXsHHR0dDBw4EEuXLkVOTg4jbX/9+hUmJiZo3rw5PD09ISvL7JHK9erVg5SUFBYuXIjevXsjMTGxxBkUFouFuXPn4sGDB3j//j309fXx6tWrCvXXoEED2NraIioqCrt27YK3tzd0dHQwceJEvHtX9RkvDw8PeHh4YO/evYx/rQRt06ZNmDRpEqZMmYJnz56JejhUNUaDgRrENyxRIKfpAX9mB3w/JwqkbWHKzc0t8u+cnBxs2rQJO3furFR7X758QVBQEH+JIDs7G+fPn8eMGTMEnpjVrFkz3Lt3D3v27MHhw4fRrVs3vH//vkptxsfHw9jYGDIyMrh37x4/wGGSs7Mz4uPjsW/fPmzZsgVv3ryBp6dnqff06dMHwcHBaNSoEXr16oWLFy9WuF9ZWVksXrwYkZGROHz4MJ4+fYr27dtjzJgxlT7uNycnB4sXL4axsTF/ZqgmYbFYOHnyJLp27YpRo0bh69evoh4SVU3RYKCGyMwtQExKtkD7iEnORlbu/9Z7c3JycOHCBfTr1w8HDhwQaN9MKe7T85AhQ/gFdCrq4sWLkJWV5c8CXL16Fenp6bCysqrSOMuLzWZj6dKleP78OXg8Hrp27YoDBw5UqoZ/SkoKTExMkJubCx8fHygrKwtgxED9+vX5W9r69OmD3r17Y8uWLWXWzm/RogX8/f1hamqKSZMmYeXKleByuRXuX0pKCrNnz0Z4eDhOnz6N0NBQ6OvrY8iQIQgICKhQW3v27EF0dDQOHjxYY5PwpKSkcOPGDdSvXx/Dhg1DWlqaqIdEVUM0GKghopOzIOhtHwRAVHIWPn78iMWLF0NZWRlTpkzB48eP8fbtWwH3zoysrCwAfz4RSUhIwNHREZ6enpXafkYIgaurK8aMGQMZmT87LU6cOAFjY2Ohbv0DgA4dOuDly5eYPXs2Fi9ejCFDhiA+Pr7c92dmZmLo0KH48eMH7t+/DzU1NQGO9n9YLBbWrl2LoKAg/k6M0khLS+PcuXPYt28f9u7di6FDhyIlJaVSfYuLi8PS0hIfP37ExYsXERcXB0NDQ/Tr1w8+Pj5lBicxMTHYunUrFi9eDB0dZg9uErZGjRrBy8sLCQkJMDU15S+nUVQhGgzUEHkMbiUszaAhw9C2bVscOnQIv379AvDnrHk5Oblqc6JcVm4BQr+n41VMKkK/pxeZzYiJ+ZP3oKGhgZCQEMybN6/Sn+jevn2Ljx8/YuLEiQD+JN0FBgYKJHGwPKSkpLB//37cvXsXb9++hZ6eXpEtfCXJycnB6NGj8eHDB9y9e1fob2yDBg1Cly5dsGXLlnJdz2KxsHjxYnh7e+Ply5dVXh7hcDgwNzfHmzdvcPPmTWRlZWHgwIHo0aMHbt++XWJQsGzZMsjLy1ebksNVpaGhgRs3bsDf3x9z5syhpxxSRdA6AzVE6Pd0DDtUsSnOyog/vRB5CZHFPsfhcNCoUSM0bty4xD9KSkr8vysoKFToHIDSlPcgpofHN0GWm4EbN25UuVTsqlWrcPLkScTHx0NcXBxLliyBi4sL4uLiRH54TlJSEmbNmoWbN29i5syZ2LdvX7HHMhcUFGD8+PG4e/cuvL290adPHxGMFrh58ybGjBkDf39/9O7du9z3ff36FaNHj8aXL19w7tw5Rg7hIYTg3r172LJlCwICAtChQwesXbsWY8eO5X+/+vj4YODAgbhw4QIsLCyq3Gd1cuHCBUyZMgUODg41ancEJVg0GKghsnIL0G6jt0CXClgAPCy1sGzRfHh7e4PNZvNnA+bPn4+2bdvi58+fJf757/oui8WCoqJimUFD4Z9GjRr9s9ddVAcx8Xg8tGrVCsOGDcORI0eQk5MDFRUVzJw5s9LJiEwjhODkyZNYtGgRVFRU4OLiUuSAGh6Ph+nTp8PV1RU3b97EsGHDRDZWHo+H9u3bo0WLFvxSxeWVlZWFGTNm4MqVK7Czs8OmTZv42xarys/PD1u2bMH9+/ehra2NNWvWwNTUFF26dEHjxo3x+PHjGpsrUJpNmzZh48aNuHz5MiZMmCDq4VDVAA0GapC+u3wRLcAkQjVFGTxebgRCCG7duoU5c+bgx48fAAAvLy8MGTKkxHt5PB7S0tJKDRb+/pOYmFhskZmGDRvygwOWem98a9IThMUGQfl/ITNxEFNAQAAMDQ3h5+cHQ0NDfu3+sLAwaGpqVqpNQQkPD4eFhQVCQkL4R/9yOBwsXrwYhw4dgouLC3+pQ5QuXryISZMm4eXLlxWu/UAIwc6dO2Fra4thw4bhwoUL/PMOyqu08xSCgoKwdetW3L59GwoKCkhNTcXz58/RtWvXCvVRUxBCMHXqVFy9ehW+vr4iPySLEj0aDNQgG91DcT4oWiDbC9ksgP0lAPU+30VWVhaSkpKQnp7Onxl4/fo1OnTowFh/hBD8+vWrxGAh+HcjRDVoDxACVOqTGQHAwsiWLEzrqswPMMp7DO7cuXPh4eGBqKgosNls9OvXDywWC76+vpUYi+Dl5+dj8+bNcHBw4NelP3jwII4dOwYbGxtRDw/An/LQOjo6aNeuHa5fv16pNu7cuYOJEyeiSZMmuHnzJrS1tUu9vrzLSxYGqtBQrof79+9j6NChKCgoQLNmzbBy5UrMnDmTn0Bam+Tm5sLExAQfPnxAUFAQWrduLeohUSJEg4EaJDwhAwP3+wms/W8nZqMgOe6fxzU0NBAWFia06VKmD2JK9jqAzLf3AQBycnKl5jw0btwYDRs2xPDhw2FpaYm9e/ciLCwM2tracHV1rRafsEsTEBCAkSNHIjU1FePHj8fly5er1TT36dOnMWPGDLx79w7t2rWrVBvh4eEYNWoU4uLi4OLiUmzxp8ouL/32OwW/Ozfg4eGBw4cPw8XFBYqKili2bBnmzJkj0uOTBSE5ORk9evTgn+opiLoTVM1Ag4EaZsrJIDyJTGZ0doDDZqFna0UYsUKL3T+/dOlS7Nmzh7H+SiOIg5gk2MD6rmyQzKRilysK/164e+Jv0tLSEBMTQ3Z2Nvr3748mTZqUmvtQr149kb75Fr7Z6urqIjQ0FBMmTMCxY8eqzS/5/Px8qKuro3fv3nBxcal0OxkZGZg6dSpu3ryJzZs3Y+3atfw8gksvYrDBPRQFPFKhnxM2CyjIy8XIZrlwXPIn6IuMjMSOHTtw+vRpyMnJYdGiRVi4cGG1+XoyISIiAt27d4eenh68vb1FnhxLiQYNBmoYQZ9auGXLlmK3UnXp0gXW1taYOHGiQD8dCTLYOW9lUOp1ubm5SEpKgo2NDd69ewcHBwf8+PED69evR5s2bdCmTZsigURqauo/bUhISJQ7YbJx48aQl5dnLHi4fv06xo8fj1mzZuHo0aO4evUqbGxsICcnh3PnzlXpCGcmHTlyBAsWLMCnT5+goaFR6XZ4PB62bNmCDRs2YOzYsThz5gzOvvyB3feqcC7B/y9LLTfRxHyj/40tLi4Ou3btwvHjxyEuLo558+ZhyZIlUFJSqnxf1URWbgFu+gTCZu48DBo4AGcdd0NOih57XNfQYKAGYnoafcdYPZj9f6Jd4ZGwzs7OYLFYMDc3h7m5OZycnHDnzh3IyMjAwsICNjY26NSpE2NjAAS/DOKzpA/UlUoPZLKzs6GkpITVq1fDzs4Oly9fhrm5OT58+PDP/vz8/HwkJyeXmiT597+Tk5P/2dstJiZWZLtmSUHD39s1i8ukv3//PoYPH44xY8bAxcWFv0UuNjYWU6dOxePHj7F8+XLY29szeihRZeTk5KBVq1YYOnQoTp48WeX2bt26hcmTJ6Oj6VzENmVu6+TfPxeFEhISsG/fPhw+fBhcLpd/fHKzZs0Y61cYSsulAAjUFGSL5FJQtR8NBmooR9/wqn0C+n8rTLQwz6jokawFBQUYPXo0PD09ERAQgF69egH4U9Dn5MmTcHZ2xvfv39G1a1fY2NjA3Ny82D3uFSXIBEkOm4UpBmrYOFK31OuuXLkCMzMzhIeHQ11dHcbGxsjNzYW/v3+Vx8DlcpGSklJm0FD4Jykp6Z/tmmw2m79dszBw4HK5uH37NjQ1NbFmzRo0bdqUHzwoKiqCzWZjz549WLt2LXR1deHi4oK2bdtW+fVUxZ49e7B69WpEREQwUg3R/9UHzHD7inwG62L9PWP2XykpKTh48CAOHDiA7OxsTJ8+HatWrUKrVq2YG4AAiGqrLlX90WCgBqvs2igID5LiYtg8UvefTz6Ffv/+jefPn6Nv377/PFdQUABPT08cP34cd+7cgZycHCZPngwbG5sq7TgQ1tbJ0owePRrx8fEICgpCREQENDQ0cO7cOUyZMkVg4yrJf7drFhc0REZG4uXLl+BwOODxePzjgwuxWCwoKCjwd1JEREQgOzsbxsbGGDJkSLEzEYI+gAn4Ux65ZcuWMDc3h6OjY5XbE9Xy0q9fv3DkyBHs3bsXKSkpmDx5MmxtbaGlpcXYOJhS2d8XTGzVpao/GgzUcJWJ9H9/DcHuCV0wZezQKvcfHR0NZ2dnfqW+bt26wcbGBmZmZhU67jUztwB6Qiiq9H7jIP7e8v9KTU2FsrIydu3ahUWLFmH16tVwcnLC9+/fy70lUZjCw8NhaGiIZs2a4eHDh6hfvz5/u2ZJsw0/fvzAmzdv8PPnzyJFpf4mLy9f5o6Lv4OIyi47bN26Ffb29vj69SuaNm1a+a9DNVleOnHiBHbu3In4+HhMmDABa9asQfv27QU2ropgaibxv7kUVO1Bg4Fagr8G+DkRMcnF7KdWlIGR5p81wNmTRiM2Nhbv3r1jbP04Pz8fHh4eOH78OLy9vVGvXj3+bEF5fiEKq9yy54Le0FUpvliNs7MzbGxsEBcXB0VFRbRo0QJmZmY4ePCgwMdVUXFxcejduzekpaXh5+dX4YOYvLy8MH36dHC5XGzbtg3t27cvV6Go7Ox/Z27q1atXrqCh8E/hnv309HSoqalh5syZ2L17d6W/FtVhealQbm4uzpw5g+3btyMqKgojR47E2rVri1SGFDZB5hhRtQcNBmqh0iqtAX8O3OnQoQO2bNmC1atXM97/169f4ezsjFOnTuHHjx/o3r07bGxsMGHChBKLt7yKScWYo08YH8t/3ZjTE51Ui98WNmDAALBYLPj4+ODatWsYN24c/0Cg6uTnz5/o06cPsrOzERAQgBYtWlSqncTERFhZWcHDwwM2NjbYs2dPmbM52dnZ5QoaCv+ekZHxTxsyMjL8wCA1NRXR0dGwsbGBqqpqsQGFnJxcqTsuRLW8VDijUdwZGPn5+bh48SIcHBwQFhYGExMTrF27VuhnQwh69xFVe9BgoI5aunQpjh8/jk+fPqF58+YC6SM/Px+3b9+Gk5MT7t27hwYNGmDKlCmwsbH5p+CMqGcGvn//jubNm8PZ2RkzZszA4MGDkZ6ejqdPnwp8TBXx69cv9O/fH7GxsQgICKjS1jzgz+4RJycnLF26FC1atICrq2uFSwWXJicnB0lJ/9Z3KAwavn37Bm9vb8jLy/NzJP5LUlKyxNkGFdVW2Pi+ntCWlwqTNXfv3o3AwEAcPnwYc+fOLfFeLpeLa9euYcuWLXj37h0MDQ1hZ2eHgQMHCqUehSi36lI1Cw0G6qj09HRoaWnByMgIFy9eFHh/kZGROHHiBE6dOoXExET07NkTNjY2GD9+PKSlpYV2EFNxOQM8Hg8HDhzA6tWrkZCQgNTUVLRp04YfGFQXv3//xuDBg/HmzRs8fvyY0fLQnz59goWFBd6+fYvNmzdj5cqVjJ04WZbly5fjxIkTiI6OhqysbLHBQ0k5EES+GeqNdxD4GK9adcZTr6vYu3cvoqOjweFwwOVycfDgQSxYsKDM+3k8Hjw8PLBlyxa8ePEC+vr6sLOzw4gRIwQWFFSHXAqq5qDBQB125swZTJ8+HY8ePSp214Ag5OXlwd3dHU5OTvDx8YG8vDymTp0KGxsbzPFMEOh0r5I0sLB1KiIjI/Hlyxd8+vQJERERyMrKgpaWFlq3bo0bN27Azs4Ohw4dwvfv3yuUBClI+fn5GDNmDHx9fXH//n307NmT8T7y8vKwceNGbN++Hb1798b58+cZ2fZXlvj4eLRq1Qrr1q3D2rVrK3RvSEwqxgpheSnxwgr8jvv4z+Pm5uYYMGAA5OTkUK9ePcjJyf3zdzk5OX5tCEII7t+/j61bt8LPzw/t27fH2rVrYWpqynjwVZ1yKajqjwYDdRiPx0OvXr2QlZWFkJCQf44PFrSIiAh+bsHPnz+hO3UjslW6gFeBEwrLi80C0l64I9XnONhsNlgsFn8Pv7i4OPLz83HlyhWMGTMGqqqqGD16NI4cOcL4OCqDy+ViypQpcHNzw+3btzFo0CCB9ufn54cpU6YgLS0NR44cgYWFhUD7A4B58+bh8uXL/NmB8hLW8lLiuSX4/T38n8clJSWRm5tb5v0yMjL/BAn5+fmIjo5GQkIC5OXl0atXLxgYGEBeXr5IIFFckCEjI1PmjEJ12KpL1Rw0GKjjgoODoa+vjwMHDpRrulMQ8vLycPPmTRw6exWx7S0F1o/2l6vwvnq2yGMsFgstW7bkT0Xfu3cPo0ePxqtXr9CxY0eBjaW8CCGYO3cujh8/jsuXL2PcuHFC6TctLQ3z5s3jH8505MgRyMvLC6y/6OhoqKurY/v27Vi2bFm57xPW8tKTpT2wb9d27Nu3D4QQfiB5584dmJiYICsrC5mZmcjMzERGRkaZfy/8d0ZGBn78+IGoqChkZGSAzWaDzWb/Uy/inzGxWEUChv8GDdL1G+JRo38PcGL661LaVl2qZqHBAAUbGxtcuXIFYWFhIq+1PvaQL159ywRh/Vtyt7IKE57OzeiGefPm4ejRo/9c06BBAyxevBi+vr7Izs7GixcvGOu/KmxtbbF9+3acPHlSJPkLrq6umDNnDuTl5XHu3DmBLidZWVnBy8sLX79+LTZDvyTC/AT89etXrFq1ClevXgWAIhU6q+rt27dwcHDAlStX0LRpUyxYsACmpqbgcrnlDi4K/55CZJCsb83IuEpT2lZdqmahwQCFpKQkaGpqYuzYsXB2dhbpWAS9Farwk/axY8cA/G+JoH///ggKCkJWVhaaNWuG2bNnw8zMrMrZ+lWxc+dOrFq1Cnv27MHSpUtFNo7o6GhMmTIFAQEBWLVqFTZt2iSQk+3Cw8Ohra0NR0dHzJkzp9z3iWJt/OnTp3B1dcX27dsZzysJCwvDtm3bcOHCBSgoKGDp0qWYO3cu6tevX+42hLVV98pMfXRrU/MPa6IA5j5+UTVWo0aNYG9vj1OnTuH58+ciHUsLBRlsYjgpafNIXf6eaBaLhcOHD2PWrFkAgFatWqFx48a4e/cuFi9eDCkpKfTs2RM7duyApqYmOnXqhO3btyMyMpLRMZXl+PHjWLVqFdatWyfSQAAA1NTU4Ovri61bt2L37t3o0aMHPn36xHg/GhoaMDMzw/bt25Gfn1/u+ywMVAUSCAAAl0cwufu/BXZ69OiBQ4cOCSTBVEtLC2fOnEF4eDjGjh2LDRs2QE1NDRs3bkRKSkq52pAQE86v9q32m/45fIuqmWgwQAEAv1Lg/Pnziy1RK0zm+qpYbqLJSFsrTLT+qZbGZrNx7Ngx7Nu3D79+/cKECRPAZrNx9uxZTJkyBVeuXEFiYiLc3NygqakJe3t7tGnTBvr6+ti9ezeio6MZGVtJLl26hNmzZ2PBggXYtGmTQPsqLw6HA1tbWzx9+hSZmZno3Lkzjh49yvgbwZo1axATE4MLFy6U+x4N5XowVG8EDpvZxFMOmwVD9UYi2z7XqlUrHDt2DJGRkbC0tMTOnTuhpqaGVatWISEhodR7WyrKCiAN978Ibrueqjbfo1TV0GUCis/f3x99+vQR2fr0f1X1YJXSDmIC/mTN9+3bFwEBAUhLS8Pw4cPx4sULdO3atch1WVlZ8PDwwJUrV+Dl5YWcnBx0794dEyZMwPjx4xkt2uTl5YVRo0Zh4sSJOHPmTLHHFYtaVlYWli1bBicnJwwfPhwnT55kNNdkzJgxCA0NxcePH8u93a4uVNpLTEzkH5+cn58Pa2trrFixosTvP2HkUgwpCIKtrS3Onj2LqVOnCqwvSvBoMEAVMXnyZNy7dw+fP38WaPZ4eVXkICbC44LF5kCZpGC3WRcYdir9mN7Zs2fj7t27iIyMxJgxYxATE4OQkJBSt2xlZGTg9u3buHz5Mu7evYu8vDz06tULZmZmGDduXJUO3PHz88OgQYMwaNAguLm5CX2rZ0W5u7vDysoKbDYbp0+fxtChVT/4CgBevnwJfX19XLx4Eebm5uW+j+ka/NvGtMPEboKvs1BRqampOHToEPbv34/MzEz+8cmtW7cuct2qyy9x9U0CBLGCUphLsWFEW8yaNQvnzp3D/fv3hVavhGIeDQaoIr5//w4tLS3MmDEDBw4cEPVw+P4+iCk6KQv46w278CCmDo3EkPXmLq6fOYK0tDQMGDAANjY2GDVq1D8Jb3l5eWjatCmsra0xf/58qKmp4dChQxVKXEtLS4O7uzsuX76Me/fugcvlok+fPjAzM4OpqWmFPi2HhITAyMgIXbt2haenZ4Wy6UXpx48fmDFjBu7cuYO5c+di165dJZ4/URFDhgxBXFwc3rx5U6HZEaZO50t7fA4j2kjg1KlTQjnSuTIyMjJw9OhR7NmzB8nJyZg0aRJsbW3RrFkz7NmzBwdOX4a8xR6B9V9YgTA/Px9DhgxBSEgInj59Wi2Pb6bKRoMB6h+7du2Cra0tXr16Ve0O6QEA+UbKsF62FhMtphR7ENPv37/h5uYGJycnBAYGQklJCdOnT8esWbPQpk0bAICHhwdGjBiBN2/ewN3dHdu2bcP379/RoEHltkmlpKTg5s2buHLlCnx8fEAIgZGREczMzDBmzBg0atSoxHs/ffoEQ0NDtG7dGj4+PqhXr2aVeCWE4MiRI1i+fDlatmwJV1dXdOrUqUptBgYGonfv3rhx4wZGjx5doXv5y0tcHrgV+O329/ISIp9iypQpMDY2xtWrV6tNJcriZGdn4+TJk9i+fTvi4+MhLi4OQggWLlyIWPVReBmbIfCzCdLS0tCrVy/k5ubi2bNnpX6/U9VT9VuQpERu0aJFUFdXx4IFC6pdpjCPx8OvlJ9QV5RCJ9WG0FVp8E/RE2lpaf5WuHfv3sHMzAzHjh2Duro6TExMcO3aNbi4uEBXVxe6urpwdnaGmZlZpQMBAFBQUMCMGTNw9+5d/Pjxg1/LYPbs2WjSpAkGDx6MU6dOITU1tch90dHRGDhwIJSVleHl5VXjAgHgzw6NefPmITg4GJKSkjAwMMDOnTv5hXkqo1evXujbty+2bt1a4e9Bc31V3F/cB5LpfxI9y0osLHy+Z2tF+CzpCzN9VZiZmcHT0xN+fn4wNjZGcnJy5V6IEIiLixc5ilxSUhL5+fkICwvDZE0OxBhOrBRjs+AwpuiHBHl5eXh6eiIjIwOjR49GTk4Oo31SgkeDAeofEhISOHDgAB4/fowrV66IejhFZGZmghBS7jfudu3a4eDBg/j+/TvOnDmDzMxMjBs3DpcuXUKjRo1w4cIFREdHw9qauQItjRo1grW1NXx8fPD9+3ccOnQIOTk5mDlzJpSVlTF8+HCcO3cO4eHhMDY2hoSEBO7duwdFRUXGxiAKbdu2RVBQEBYvXozVq1fD2NgYsbGxlW7Pzs4OL1++xL179yp8b4j/fXw8Mg+2HbiYYqAGNUWZf7LrWfiTBDfFQA0+S/rgvJVBkWTBgQMHwtfXFxERETA0NKzSaxEEHo+HS5cuQVdXFzY2Nujbty/CwsKQkpKCc+fOISIiAiMH9EKDCG9G+/17q+7fWrZsCXd3dwQHB2P69Oki35VEVQxdJqBKNGbMGLx8+RIfP36EnJycqIcDAIiNjYWqqiru3LmDwYMHV6qNHTt2YPXq1ZCTk0NmZibk5ORw5swZjBw5UqDrw/Hx8XBzc8Ply5cRGBgIFosFCQkJbN++HVZWVjVyVqAkvr6+mDp1KjIzM3H06NEKJQIWIoSgR48eEBMTg7+/f7lP9/v9+zd0dHTQtm1beHp68u/Lyi1AVHIW8gp4xS4vlSQsLAyDBg0Cj8eDt7c3dHR0KvxamEQIgZeXF9auXYs3b95g2LBh2Lp16z+nWHK5XNy4cQOrVq1CknJXNOxb9Wz/FSZamGekXuo1165dw7hx42BnZwd7e/sq90kJB50ZoEq0d+9eJCUlwcFB8EfElld6ejoAVGlKPzAwEN27d8ebN2/A4XCgqKiIcePGQU1NDXZ2doiKimJotEUVlpj19vZG165dIS0tDU1NTSxZsgRKSkowNTXFlStXkJWVJZD+hcnIyAhv376FiYkJJk6ciClTpvD/35UXi8WCnZ0dAgMD4edX/qN4d+zYgfj4eBw4cKBIACErKQZdlQYlLi+VREtLC4GBgahfvz569+6NoKCgCr0OJhVu/x0+fDjq168Pf39/eHh4FHucNYfDgZaWFhITE6GZH4l6H2+Dl58L8Cq2fMNhsyApxsaOsXplBgIAYGpqip07d2LLli04c+ZMhfqiRIhQVCk2bNhAJCQkyOfPn0U9FEIIIQEBAQQACQ0NrdT9SUlJRExMjBw8eJBs27aNSElJkZSUFPL69Wsyd+5cUq9ePcJiscjgwYPJjRs3SH5+PqPjz8nJISYmJkROTo4EBQURQgj5+vUr2blzJ+natSsBQGRkZMiECROIm5sbyc7OZrR/YePxeOTs2bOkXr16RE1Njfj7+1f4/g4dOpCBAweW6/ovX74QSUlJYmtrW5nhlio5OZn07NmTyMjIkLt37zLefmlCQkLI4MGDCQDSqVMncufOHcLj8Uq9Jz4+nqiqqpIOHTqQX79+ER6PR1zd7xGt2Y5EbbUHUVt5689/S/jTeo0nUVvtQSY7PyMxyVkVGi+PxyOzZs0iYmJi5OHDh1V56ZSQ0GCAKlV2djZRU1MjQ4cOFfVQCCGEeHp6EgAkLi6uUvc7OTkRNptNvn//Ttq0aUOmTJlS5PnMzEzi7OxM9PX1CQCioqJC1q1bR6Kjo6s89oKCAjJu3DgiKSlJHjx4UOw1ERERxMHBgXTs2JEAIHJycmTSpEnk5s2bJCcnp8pjEJXIyEjSq1cvwmazydq1a0leXl65771y5QoBQJ49e1bmtSNHjiTNmzcnmZmZVRluibKyssjw4cOJmJgYcXFxEUgffwsLCyMTJkwgAIimpia5fPky4XK55Rqnvr4+UVFRIbGxsf88f8nrEelotZWoWB8naqtuFwkCWq72IH12PSQbbr0n4Qm/Kj32vLw8MnDgQCIvL08+fvxY6XYo4aDBAFWma9euEQDk9u3boh4KcXV1JQBIRkZGpe7v168fGThwIPHx8SEASv2kGhISQmbPns2fLRg6dCi5detWpWYLeDwemTFjBuFwOOTmzZvluicsLIzY29uTdu3aEQCkfv36ZOrUqcTDw4Pk5uZWeAyilp+fT+zt7QmHwyH6+vokLCysXPcVFBQQbW1tMmLEiFKvKwwUr1y5wsRwS5SXl0emTZtGAJADBw4IpI+YmBgyc+ZMwuFwSPPmzYmzs3O5v++4XC4xNTUlMjIyJDg4uNRrX7x4QUaMGUfElVoRtc59yYb9J0hSeuV+toqTlpZGdHV1SatWrUhiYiJj7VLMo8EAVSYej0cGDhxI2rRpQ37//i3SsRw9epRwOJwyp0iLExsbS1gsFjl9+jSZMGEC0dHRKVc7GRkZ5Pjx46RLly4EAGnWrBnZsGEDiYmJKVe/PB6PLF26lAAg58+fr/C4CSEkNDSUbNiwgWhraxMARF5enkyfPp3cvXu3Qp+yq4Nnz54RdXV1IiMjQ44fP16u/wdnz54lAMjr16+LfT4nJ4eoq6uT/v37V+p7o6J4PB5ZsWIFAUDWrFnDWJ+JiYlkyZIlRFJSkjRq1Ijs3bu3wj9zK1euJCwWi9y6davc97x9+5aYm5sTNptNmjZtSvbu3cvY7EpUVBRRVlYmPXr0qPHLXrUZDQaocvn48SMRExMjW7ZsEek4tm/fTho2bFipe3fv3k0kJSVJREQEERcXJ3v37q1wGy9fviTW1tZETk6OsNlsMnz4cHL79m1SUFBQ4j329vYEADl06FClxv03Ho9H3r59S9auXUvU1dUJAKKoqEhmzZpF7t+/z3iOg6BkZGSQmTNnEgBk1KhR5OfPn6Ven5eXR1q1akUmTJhQ7PMODg5ETEys0rkklbVz504CgMycObNKX/v09HSyfv16IicnR+rVq0c2bdpEfv2q+BT9iRMnCIBKfW8T8mc2avr06URMTIw0atSIbN26laSlpVWqrb89f/6cSEtLkwkTJvCXOXJyckh8fHyV26aYQYMBqtyWL19OpKWlGVk/ryxbW1vSsmXLSt3buXNnMnbsWLJr1y4iISFBkpKSKj2OX79+kWPHjpFOnToRAKRFixZk06ZN/6zPHjp0iAAg9vb2le6rJDwej4SEhJDVq1eTVq1aEQBESUmJzJkzh/j6+pYaoFQX169fJ4qKiqRJkyZlJuU5OTkRFov1z/pzTEwMkZGRIUuXLhXkUEt05swZwuFwyOjRoyv8KT47O5vs3r2bKCoqEklJSbJs2bIyA6OS+Pj4EDExMTJnzpwqz1R8/fqVzJkzh0hISJAGDRqQdevWVennhZA//69ZLBaxtbUl3759I+3btycNGzasMQFsbUeDAarc0tPTSZMmTcj48eNFNoa5c+eSDh06VPi+T58+EQDk6tWrRFNTk0yaNImxMb148YLMnDmTyMrKEjabTUaOHEk8PT3JmTNnCACydOlSgU9d83g88vz5c7J8+XKiqqpKAJAmTZqQ+fPnE39//3IlnYnKt2/fiImJCQFAFi5cWOJUck5ODmnWrBmZOnVqkccnTJhAlJWVSXp6ujCGW6zbt28TaWlp0rdv33J9ks7LyyNOTk6kWbNmhMPhEGtr62IT/corNDSUNGjQgAwePJjRN9dv376RpUuXEhkZGSIrK0tWrFhRpU/zu3fvJgBIgwYNCJvNJgDI8+fPGRsvVXk0GKAq5Ny5cwRAidnwgmZhYUH69OlT4fs2bNhA6tevT7y9vQkA4uvry/jY0tPTydGjR/k7AQCQzp07V3rnQ2VxuVzy5MkTsnjxYtKsWTN+nsPixYvJ06dPhbKmXlFcLpfs37+fSEpKEl1d3RJzA/bv3084HA6JjIwkhBB+Iui5c+eEOdxiBQQEEHl5edKhQ4cS3zC5XC65ePEi0dDQIADIxIkTq7xtNyEhgbRq1Yq0a9dOYAFRYmIiWbNmDalfvz6RkpIi8+fPL3fOzN+8vLyImJgY/+eDzWaTnTt3CmDEVEXRYICqEB6PR3r16kV0dXVFkrg2fPjwMrPK/4vH4xENDQ0ybdo0MmnSJKKhoSHQN0QfHx8iISFBWrZsSaSlpflTyHfu3BH61D2XyyX+/v5k/vz5pEmTJgQAUVVVJcuXLyfPnz+vdoHB27dviZ6eHpGQkCC7d+/+Z0YjKyuLNG7cmNjY2JC8vDyio6NDevfuXW1ex7t374iKigpp3bo1iYiI4D/O4/GIh4cH6dChAwFAhg0bVmLAUxG/f/8mPXr0IMrKyiQqKqrK7ZUlNTWV2NvbEwUFBSIuLk5mzpxZ5HWW5tq1a4TNZhMWi8UPBgprelCiR4MBqsJCQkIIi8Ui+/btE3rfhoaGZPLkyRW65+XLl/wlAklJSYF+EgkKCiKysrLExMSE5OTkkLS0NHL48GHSvn17AoCoqamRLVu2kO/fvwtsDCUpKCggvr6+ZPbs2aRx48YEAGndujVZvXo1CQkJqTZvqL9//+bvvhgwYMA/Myvbt28nEhISZP369YTNZpNXr16JZqAliIqKIpqamkRJSYmEhIQQPz8/0rt3bwKAGBoaVrjwUkm4XC4xMzMj0tLSQp9qz8jIILt27SLKysqEzWYTCwuLMpM3T506RSQkJPjLA4V/pKWlS13ayMzJJ++/pZGQ6BTy/lsaycyhOQaCQIMBqlLmzJlD6tevT378+CHUfvX09Mi8efMqdM/SpUuJkpIS2b17NxEXFycJCQkCGdu7d++IgoIC6dmz5z/bsng8Hnn69CmZPn06kZaWJmJiYmTs2LHE29tbJOv5+fn55P79+2TWrFlEQUGBACAaGhrEzs6OvH37tloEBvfv3ycqKiqkYcOG5OrVq/zH09PTSYMGDYiEhESFvxeEJTExkbRt25ZwOJwKVQ2siLVr1xIAxM3NjbE2Kyo7O5scOnSING/enLBYLGJqakpCQkJKvD45OZns3r2bn9dS+Ofx48dFrvv84xfZcOs96bPzIWn5n8qILVd7kD47/xRF+vyj8kWRqKJoMEBVSlJSElFQUCCWlpZC7VdVVZWsWbOm3NcXFBQQFRUVMn/+fKKjo1Pi1rSq+vLlC2natCnp0KEDSU1NLfXa1NRUcujQIX4xoVatWhEHBweRbbPKy8sjd+/eJdOnTyfy8vIEANHR0SEbNmwgHz58EMmYCiUlJRFTU1MCgFhaWvK32xXOtHz69Emk4yvO31UDZWRkiJiYWJFghgmFyak7duxgtN3Kys3NJc7OzqRNmzb8ZZAnT56UeD2XyyWenp6ke/fuBABZtWoVIYSQmOQsMtn5WZFyyIIol0z9iwYDVKUdPXqUACBPnz4VWp8NGjSo0C9AX19fAoAcO3aMACD3799nfEzfvn0jrVq1IhoaGhWaKeHxeCQwMJBMmzaNSElJETExMTJu3Dhy7949kWX/5+bmEg8PDzJlyhRSr149AoDo6ekRe3t7kZ1PwePxyKlTp4icnBxp3bo1//tOUlKSrF69WiRjKk5xVQOzsrKImZkZYbPZxMnJiZF+fH19+ev11WEG52/5+fnkwoULREdHhwAg/fv3Jw8fPix1nLGxsX8SK59HE007rzKDgOKCAk07L3Lxuei2PNcG9AhjqtK4XC709fXBZrMRFBQEDocj0P54PB7ExMRw9OhR2NjYlOsea2tr3L9/H4aGhggMDER4eDjYbOYO60xOTkbfvn2Rnp6OgIAAqKmpVaqd1NRUnD9/Hk5OTvjw4QPatGmDWbNmYfr06VBSUmJsvBWRk5MDb29vXLlyBe7u7sjMzETHjh1hZmaGCRMmoHXr1kIdz5cvX2BhYYGgoCCoqKhg0qRJcHJyQnR0NBo2bCjUsfzt58+f2LZtG44cOYJ69ephzZo1mDNnDqSkpAD8+b5dtGgRHB0dYW9vj7Vr15b7OOb/CgsLQ48ePdC5c2fcuXNHoEduVwWPx8ONGzewdetWvHr1Cj179oSdnR0GDx5c7Gt39A3H7nufq9zvchNNzDfSqHI7dRE9wpiqNA6HA0dHRwQHB+PUqVMC7y8zMxOEkHIfX5yXlwc3NzeMHTsWV69exaxZsxgNBDIyMjB06FAkJCTg/v37lQ4EAKBhw4ZYuHAh3r9/j4CAAPTs2RMbNmxA8+bNYWZmhgcPHoDH4zE29vKQkpLCqFGj4OLigsTERLi5uUFTUxP29vZo06YN9PX1sXv3bkRHRwtlPG3atMGkSZMAAPHx8Xj48CHy8vJw6NAhofT/X79+/cLGjRvRunVrODs7Y82aNYiMjMSSJUv4gQAAsNlsHDx4EJs3b8a6deuwcOHCSv2/TEpKwvDhw9GkSRO4ublV20AA+POaTU1NERwcDE9PT/B4PAwdOhRdu3bF9evXi7z+Sy9iGAkEAGD3vc+4/CKGkbbqGjozQFXZ1KlT4eXlhc+fP0NBQUFg/cTGxkJVVRV37tzB4MGDy7z+9u3bGDlyJGxtbbFr1y7ExsaiSZMmjIwlJycHQ4cORXBwMHx9fdG5c2dG2v1bSkoKzp07BycnJ3z69Anq6uqwtraGpaUlGjduzHh/5ZWVlQUPDw9cuXIFXl5eyMnJQffu3TFhwgSMHz8ezZs3F0i/P3/+hKamJsaNG4cZM2Zg8uTJiI2Nhbi4OOLj41G/fv0/48stQFRyFvIKeJAQY6OloixkJcUYG8fv379x5MgRbNu2DZmZmZg/fz5Wr16NRo0alXmvk5MT5syZAzMzM5w9exYSEhLl6jM3NxfGxsYICwvDs2fPhD4rU1WEEPj6+mLLli3w9fVF27ZtsXbtWvQcOAKDDgYgt4C5QFdSjA2fJX3RQkGGsTbrAhoMUFUWHx8PLS0tTJ06FY6OjgLr5/3799DT08OTJ0/Qo0ePMq+fOHEiQkNDAQAaGhq4du0aI+MoKCjAuHHj4O3tjXv37sHQ0JCRdktCCEFAQACcnJzg5uYGHo+HsWPHwsbGBv369av0lDMTMjIycPv2bVy+fBl3795FXl4eevXqBTMzM4wbNw5NmzZlrK9Zs2bBzc0Nnz9/RuPGjZGRkYGZM2fiypUr0OneHyOW7MSz6F+IScnG37/UWABUFWRgpKUECwNVaCjXK7OvwMBAxMTEYOLEifzH8vPzcfr0aWzevBk/fvyAlZUV1q1bV+Hg59q1a5g0aRL69euHa9euQU5OrtTrCSGYOnUqrl69Cl9f33J971dnT548wdatW+Hl5QWTbe6IyOCAy2PubYjDZqFna0WctzJgrM26gAYDFCP27NmDlStXIiQkBB06dBBIH4GBgejduzdCQ0PRtm3bUq/NzMyEkpISpk+fjiNHjpR7NqEsPB4PlpaWuHjxIm7duoWhQ4dWuc2KSE5O5s8WhIWFQVNTE9bW1pg2bVq5PpkKUlpaGtzd3XH58mXcu3cPXC4Xffr0gZmZGUxNTauU+/D8+XN0794dhw4dwrx58/iPx6Zkw8TuDH43UAPhccFil5y3wmGzwOURGKo3gsMYvRI/OcbGxqJdu3bIyspCWFgYWrVqhStXrmD9+vUIDw/HxIkTsWnTJmhoVH5t2tfXF6NGjYK2tjY8PT1LnenZvHkzNmzYgEuXLsHMzKzSfVY3fm/CMfUSM8sDxfFZ0gfqSmUHftQfNGeAYsTChQuhpaWFBQsWQFDxZXp6OgCUK2fA3d0dv3//xs+fP6GmpoaBAwdWuX9CCBYtWoQLFy7gwoULQg8EAEBRURFLlizBx48f8ejRI3Tp0gVr1qxBs2bNMGnSJDx+/FhgX/+yyMvLY+rUqfD09ERCQgKcnZ0hJSWFBQsWoGnTpjA2NsaJEyeQlJRUZltZWVlwcHBAXFwceDwe5s+fj/bt2xdJHL30IgbG+x4jr2FLACg1EADA//T5JDIZxvse41Ixa8tcLhcWFhbIzs4GAFhZWaFz586YOHEiNDU18fr1a7i6ulYpEAAAIyMjPH78GNHR0TA0NCwx78LV1RUbNmzAli1balUgAAAPo/PAYQtmVovDZuHCM5o7UBE0GKAYIS4ujoMHD8Lf3x8XL14USB8VCQZcXV1hYGAAT09PzJw5k5GdDhs2bICjoyOOHTsm8l/MLBYLffv2haurK759+wYHBwcEBwejX79+aNu2Lfbt24fk5GSRjU9BQQEzZszA3bt38ePHDxw9ehQAMHv2bDRp0gSDBw/GqVOnkJqaWuz9Dx48wNq1a6GhoYEJEybgxYsXOHz4MMTE/qz9O/qGY/X1d8gt4FV4ipnLI8gt4GH19Xdw9A0v8tzOnTvh7++PgoICcLlcPH78GBwOB/7+/vDw8GB01qtTp04IDAzkL60ULmkVCggIwPTp0zFt2jSsWbOGsX6rC9+wREaXB/7G5RH4fk4USNu1FQ0GKMYYGxtj7NixWLFiBTIzMxlvPz09HRwOB7KysqVel5ycDG9vb7Rs2RI5OTmYPn16lfveu3cv7O3tsWPHDlhbW1e5PSY1atQIy5Ytw6dPn/Dw4UN06NABq1atQrNmzTB58mT4+/uLbLagcHzW1tbw8fHB9+/fcejQIeTk5GDmzJlQVlbG8OHDce7cOX6wB4AfyOTk5PDX1TMyMgAILvv8+fPnsLOzK/I8m81G06ZN0bt3b0b6+y91dXUEBgaiUaNGMDQ0xJMnTwAAERERGD16NHr06IHjx4+LNC9EEDJzCxCTki3QPmKSs5GVWyDQPmoTGgxQjNq7dy9SUlKwZcsWxttOT09H/fr1y/zF6ObmBkIIQkNDMXz4cDRr1qxK/Z46dQrLli3D6tWrsXLlyiq1JUgsFgtGRka4dOkSvn37Bnt7ewQFBaFPnz7Q1dXF/v37kZKSItIxKisrY86cOXj06BG+ffuGPXv2IC0tDdOmTYOSkhJGjRoFV1dXxMfHF5nNyc7OxpAhQzBt3lJscA8tpYeKW+8eirC4JPTv3/+fLX88Hg+enp4ICQlhtM+/NW3aFI8ePYKenh6MjY1x+fJlDBs2DIqKirh+/Xq5dxzUJNHJWRB0eEoARCVnCbiX2oMmEFKM27x5M7Zs2YJ3795BS0uLsXbXrFmDixcv4uvXr6Ve17dvX+Tn5+Pp06fw8PDAsGHDKt2nm5sbzMzMYG1tjSNHjtS4T2g8Hg++vr5wcnLCjRs3ICYmhvHjx8PGxgY9e/asNq8nLi4OV69exZUrV/Ds2TNwOBzweDz+jEbhv7vbXkAC5BnPPu+sIgsfu9GQkZGBkpISJCUlISEhAUlJScjJyWH37t1o06YNY30W5/fv3zA3N4e7uzvk5OTw6tUrqKurC7RPUXkVk4oxR58IvJ8bc3qik6roClLVJHRmgGLcihUr0Lx5cyxatIjR6en09PQy8wViY2Ph5+cHSUlJNG/evEo7CLy9vTFp0iSYmZnh8OHD1eaNsyLYbDYGDBiAK1euIC4uDhs3buTvytDT08PBgwdLXLcXpubNm2PJkiV4+vQpoqKi0LVr1yLfO9LS0li6aSe+8xowvs7M5RG8iMvEi7AYfPv2Da9evcKzZ8/g5+eH+/fv48aNGwIPBIA/RZ7k5eXBZrORmZmJW7duCbxPUZEQE85bj7D6qQ3oV4pinLS0NPbt2wdvb2+4u7sz1m55goFLly5BSkoKL168gJWVVaUTB588eYKxY8fCxMQEZ8+eZbRyoagoKytj1apVCA8Px/3796Gjo4Nly5ZBRUUFlpaWePr0qdByC7JyCxD6PR2vYlIR+j29yNqumpoaf7qezWajf//+aN26NU75hYNFBFOFURTZ5/n5+UW+3tu3b8e5c+dw5swZrFmzBsuXL8fKlStFmu8hKC0VZSHo0Jr1//1Q5UOXCSiBIIRgyJAh+Pz5M0JDQyEtLV3lNkeMGAEWi1VqgNG5c2ew2WyEhIQgKioKqqqqFe7nzZs36Nu3Lzp06IC7d+8yMvbq6sePHzh9+jROnDiBr1+/Qk9PD9bW1pg8eTLk5eUZ7Ss8IQMuQTHwDUssszDQlFEDERUVBR8fH7Rr1w4A0MPhHuIz8hkd09/UFGXweLmRwNr/L319fUhJSeHmzZt48OABzMzMsGHDBmzcuBEAcODAASxevBiWlpY4ceIEfydFbdF3ly+iBZhEKOz/nzUdDQYogQkLC4Oenh7WrVuHdevWVbm9Pn36QE1NDefPny/2+Y8fP6Jt27ZQV1eHpqYmPD09K9xHeHg4evfujRYtWuDhw4f8Ere1HY/Hg4+PD5ycnHDr1i1ISEjA3Nwc1tbWMDAwqNISSWxKNtbceAf/iCR+4Z+SlFQYKDO3AHobvQWadMYC8H7jIEZLF5ckISGBXxq7adOmSEpKwvjx43HhwoUiX2sXFxdYWlpiyJAhuHTpEmRkak+J3Y3uoTgfFC2Q7YUcNgtTDNSwcaQu423XVjV/7pOqtrS0tLBkyRI4ODgwcphNWcsEFy9ehJycHCIiIiq1/S82NhbGxsZQUFDA3bt360wgAPyZjjcxMcG1a9cQGxuLtWvX4uHDh+jRowc6duyII0eOFNn6V16FhYGeRP7ZKljWL/6SCgPVtuxzPz8//t/j4+PB4/Ewffr0f4IuCwsL3L59Gw8ePICJiUm1yO9gioWBqkDrDEzuXvFZwbqMBgOUQNnZ2aFhw4ZYtmxZldsqLRgghODixYto3rw5mjZtWuEdBD9//sTAgQPBYrFw//59kZf2FaWmTZti7dq1+PLlC+7cuYPWrVtj4cKFUFFRgZWVFZ4/f16udWwmCwPlMXiQTWmSUyse8FTGo0ePikz7Fy6rXb9+/Z9rBw8ejIcPH+Ljx4/o06cPvn//LpQxCpqGcj0YqjdivAohh82CoXojWoq4gmgwQAlUvXr1sHv3bly7dg0+Pj5Vaqu0YODly5eIiIhATEwMZsyYUaH11fT0dAwePBhpaWnw8fER2Kl7NQ2Hw8HgwYNx48YNREdHY/Xq1fDx8YGBgQE6d+6MY8eO4devX8Xey3RhIN8w4VSTs5hoBl9f30rfX1pi5N/u3buHgoL/Pcdms1FQUMAvOvRfBgYGCAgIQFpaGnr27InPnwVX01+YHMboQYzhYECMzYLDGD1G26wLaM4AJXCEEPTt2xdJSUl48+ZNpc5hJ4RATEwMR44cKVKfvtCSJUtw6tQp/Pr1C5GRkWjVqlW52s3OzsbgwYPx7t07PH78GO3bt6/w2OoSLpcLb29vODk5wcPDA9LS0pg4cSJsbGzQtWtXAH9yBIz3PWb8WFom2ysOC4Dq8wPw9/XB8uXLYW9vD0lJyTLvq0hipIZyvSL5AiwWC2JiYrCwsMD8+fPRpUuXUvuKjY3FoEGD8PPnT9y5c4f/Na/JLr2Iwerr7xhrb8dYPZjp0yWCiqLBACUUb968QefOnbFr1y4sXbq0wvdnZGSgfv36uHjxIszNzYs8x+Vy0aJFCxBC0L59e3h7e5erzby8PIwZMwaPHj2Cj49PjT8aVtji4uJw6tQpODs7IzY2Fp07d4aNjQ0esfQQFJXKeGEgcTYLOQIMCNQUZeC7tC/27NmDtWvXQldXFy4uLiWekFnZxEi9nPdYNX8m5OXlYWtrixkzZlRoWSo5ORnDhw/H+/fvcePGDRgbG1f4tVY3jr7hjMwkrTDRwjyj2lmoSdDoMgElFB06dMCcOXOwceNGxMfHV/j+0g4pevz4MeLj4/Hjx49yJw5yuVxMnToVPj4+uHnzJg0EKqF58+ZYv349vn79itu3b0NFRQUL7BzwJDJFIIWBcgp4ENAhd+CwWTDSVAKbzcaKFSsQFBSE3NxcdOnSBY6Ojv/kSFQlMfLkDxUsO3INSUlJWLlyZYXzUxQVFeHj44PevXtj6NChuHLlSoXur47mG2lg+1g9SIqxK5xDwGGzICnGxo6xejQQqAIaDFBCs3nzZkhISGD16tUVvre0YMDV1RX169dH48aNMWLEiDLbIoRg7ty5uHr1Ki5evMjI8cZ1GYfDwfDhw3H79m0sdrwmuGNpWYCAks//yT7v1KkTXr58CSsrKyxYsADDhg3Djx8/ADCTGOkWI4mjfpGVHq+srCzc3d0xYcIEmJub48iRI5Vuq7ow11eFz5K+6NlaEQDK/j76/wJUPVsrwmdJX7o0UEU0GKCERkFBAdu2bcO5c+dKTJQqSUnBQG5uLq5du4bc3FzMmDGjXIe62Nra4vjx4zh58iTGjh1boXFQpXsW/Utw28UIICVe8U+OZSkp+1xGRgaOjo7w9PREcHAw2rdvjwMeLwRyYmJliIuL49y5c1i0aBHmzZuHjRs31vhqhS0UZHDeygD3F/fBFAM1qCnKFFupsKFYATJCPOEySRvnrQz49SioyqM5A5RQcblcGBgYgMfj4cWLF+UuF3znzh0MHToUsbGxRbL9b926hdGjRwP4UzCorINdtm/fDltbW+zbtw+LFy+u7MugiiGswkDiHBbyuMz1IinGhs+SvqW+oSQmJmLd9v3wlekt9L7LQgjBjh07YGtri9mzZ8PR0bHSZbiro6zcAkQlZyE3nwujvoZYPd8Kc2dZoUmTJti4cSNWrVol6iHWCnRmgBIqDocDR0dHvHr1Cs7OzqVem5ubC0NDQ3Tu3BkrVqwAAKxduxampqaYNGkS3r17B1dXV8jKyqJ///5lBgLHjh2Dra0tNmzYQAMBARBWYaDZfZk9NGjzSN0y34yVlJSQrTsKDMYBAIACHsGaG1XLpGexWFi9ejWcnZ1x/PhxmJubIzc3l6ERip6spBh0VRqgs5oC1BWlEBn2EQ0aNMDYsWNx5syZGj8bUl3QmQFKJKZPnw53d3d8/vwZDRs2xJ07d9C+fXu0aNGCf01+fj6aNm2K5ORk/mNiYmJF9mcXOnnyJGbMmFFifxcvXoSFhQUWLFiA/fv318gTCKs7YR5LG/glSajZ5+EJGRi436/M6yrLZ0kfRork3Lp1C2ZmZujVqxdu3LhR66poTp48GVFRUQgICMD9+/dhYmKCZ8+ewcDAQNRDq/HozAAlEtu3b0dBQQFmz56Nnj17Yvjw4di3b1+Ra8TFxTFv3rwiJwYWFwgAgJWVFYyMjJCWlvbPc56enpg6dSqmTp2Kffv20UBAQIR5LK2ws89dgmIElxjJ4ImJo0aNwr179xAcHAwjIyMkJgqnWJOwaGtr49OnTwCA/v37o3nz5jhz5oxoB1VL0GCAEgkxMTHo6urCzc0NL1++BIvFQlJS0j/XzZ49u8ibN4fDQbdu3Ypt89GjRzh9+jTu3r3Lf+zx48cYN24chg8fDmdn51pxFHF1JexjaSuafV74fGWyz33DEgVaR9/3M3Nv2n369IGfnx++f/+OXr164evXr4y1LWra2tpITk5GUlISOBwOpk6diosXLyInJ0fUQ6vx6G9GSugePHiANm3a4Pnz5wD+JBUSQoosBxRq2rQpxo8fzw8I5OTkYGlpWWy7VlZWiIqKwpAhQ2Bra4uXL19ixIgR6NWrFy5evFjrjoCtbmQlxaAq4KxuVUWZIqcKlif7nIU/BYWmGKjBZ0mfCmefZ+YWIEaAR+0CQExydomliyujffv2/B07PXv2xNu3bxlrW5R0dHQA/DmhFACmTZuG9PR03Lp1S5TDqhVoMEAJ3c+fP5GRkfHP4yVNaS5atIifJOTg4ABd3X+PJV2/fj2OHz+OmzdvAvizDNG7d2/o6Ojg5s2bkJKSYu4FUCUy0lIS6HS6kaZSsc9pKNfDxpG6eLzcCH4L9fH91AIs0smD54LeeL9xEB4vN8LGkbqVWpevqScmtmrVCgEBAWjatCn69OkDf39/RtsXBXV1dbDZbP5SgaamJnr27EmXChhAgwFK6MzNzfHixQu0bdu2yBLAz58/i73ewMAAioqKqF+/Pqytrf85d8DJyQmbNm1CeHg4YmL+t/aam5uL5s2bl6u+PMWM6nAsbV52BvITv6JD8wbQVWlQZCahMoR1YqIg+lFWVsajR4/QpUsXmJiYwN3dnfE+hElSUhKtW7fmBwMAYGlpiXv37tWa0xxFhQYDlEh07twZwcHB2LZtG//gosIKb3/Lyi3Ah/hfOO/lj2sPg5DLBVRUVPj7qN3c3PgliD08PP7JCbh+/TosLCwE/GqoQtXhWNrU1FQAQMOGDRnpW5iJkYJQv359eHl5Yfjw4RgzZgxOnTolkH6ERUdHh79MAAATJkyAhIQELly4IMJR1Xx0EZUSGXFxcaxatQpjx46FiYkJ4uLiAJRxCpzbF6gqyMDWLQTGapLo20mL/5ybmxt4vP99umKz2SCE0CUCIXMYowfjfY8ZnSGoyLG0hcGAvLw8I30XJkYKuphSYWKkIEhKSuLSpUuYP38+rKys8PPnT6xcubJG7qzR1taGm5sb/98NGjTAmDFjcObMGaxYsaJGvqbqgAYDlMhpaGggMjISn+J+YsrJoFJPgSMAolOy4friN84HERiGpMFhjB6kuFl49uwZ/zptbW1YWVlh0qRJUFFREeKroVooyGDTSF1Gj6UtT2GgQoXbS5maGShMjIwWYBLhfxMjBYHD4eDIkSNQVlbG6tWrkZCQgN27d9e4HTba2tqIiorC79+/IS0tDeDPUsGgQYPw4sWLEncbUaWrWd8FVK11+WUsRh8PrtQpcMb7HsM1KBqysrKYMGECgoOD8eHDByxfvpwGAiJirq+K5SaajLS1wkSrQtsAU1NTwWKxGC24I6rESKaxWCxs3LgRjo6O2L9/P6ZNm4b8/Hyh9M0UHR0dEELw+fP/ik4NGDAAzZo1o4mEVUCDAUrkmDgFbl9gArbffoXLly+jc+fOdKqwGhDVsbRpaWlo0KABo594BZ0YaWEg3BP35s2bh0uXLuHy5csYNWoUsrKY3ckgSNra2gBQJImQ1hyoOhoMUCJ16UVMtTkFjmJeYWEgNck/v6A5ZcQEVSkMVCg1NZWxJYJCGsr10K1FvTLHX2GEh99fQ2BtPhIvX75kuPHSTZgwAV5eXvDz84OxsXGxdT6qo4YNG0JZWblIEiHwp+ZAWlpajd8xISo0GKBEJjYlGxvcQxltc717KGIFXCCGqpgWCjLI8tyB1h9dMKV7S4EUBvpbamoqY8mDhdzd3XHfYQYIj8tou5LiYtg1oTN+/vwJfX19TJw4UagVA42NjfHo0SNERETA0NAQsbGxQuu7Kv4uS1xIS0sLPXr0oEsFlUSDAUpk1tx4hwKGp16ZOAWOYlZISAieP3+ORdPN+IWB3m8cBM8FvbFMj4fvpxbAZ3aHKhUG+ltaWhpjMwNcLhd2dnYYNWoU+unrYd1QrbJvqoDNI3UxdewwvH79Gs7Oznj8+DG0tLSwdOlSoX1S79q1KwIDA5GdnY1evXr984m7OiouGAD+JBJ6e3vTmgOVQIMBSiTCEzLgH5HE+Dosl0fgH5GEiMR/KxxSouHk5IRmzZph2LBh/McKj6XtqaWC/MSvSE9mrjY/U8sEycnJGDp0KLZt24bt27fj+vXrmN5HSyCJkWJiYrCyskJ4eDjWr1+PEydOoE2bNti1a5dQ1sA1NTXx5MkTNGjQAL1790ZQUJDA+6wKHR0dhIWFgcstOlNDaw5UHg0GKJGoKafAUVWTkZEBV1dXzJw5s9izIQp3ezD5SS4tLa3KywTBwcHo0qULQkJC4O3tjVWrVvGTUgWZGCkrKws7Ozt8+fIFkydPxpo1a6ClpYXz588XqaEhCCoqKvDz84OOjg769+8Pb29vgfZXFdra2sjJySlScRT4U1tizJgxOHv2LL+EOVU+NBigRKImnQJHVZ6Liwuys7Mxc+bMYp9XUlICm81mNBio6szAyZMn0atXLygpKSE4OBjGxsb/XCPoExOVlJTg6OiI0NBQdO3aFVOnTkWXLl3g4+NTyVdVPg0bNsS9e/fQv39/DB8+HK6urgLtr7KK21FQaNq0afjw4YPQEzJrOhoMUEJXE0+BoyqOEIJjx45h+PDhaN68ebHXcDgcKCsrMx4MVGZmICcnB9bW1pg5cyamTZsGPz8/qKqW/KYtjBMTNTU1ce3aNQQEBEBaWhoDBw7E4MGDBXoKoYyMDL+Mt4WFBQ4ePCiwviqrRYsWkJGRKTa/wdjYGCoqKjSRsIJoBUJK6IR5CpyuSgMB90SV5Pnz53jz5g22bdtW6nUqKiqMBQOEkEolEMbExMDU1BTv3r3DyZMnMWPGjHLfW3hi4kboIiu3AFHJWcgr4EFCjI2WirKMVBbs1asXAgMDcePGDaxevRodO3bEtGnTYG9vX2KgVRXi4uI4ffo0lJWVsWjRIiQkJGDLli3Vpn4Hm82GlpZWsTMDhTUHnJycsGfPHlqOvJzozAAldDX5FDiq/I4dO4aWLVvCxMSk1OuYDAaysrJQUFBQoWDAx8cHnTv/2d4XGBhYoUDgvwoTIzupNmTkxMS/sVgsjB07FqGhoTh06BA8PT2hoaGBNWvWID09nbF+/u5vx44d2LVrFxwcHGBtbY2Cguoz21bSjgLgz1JBamoqbt++LeRR1Vw0GKCErqafAkeVLTU1FZcvX8asWbP4J0yWhMlgoPBcgvIsExBCsH37dgwaNAhdunThJw1Wd+Li4pg3bx4iIiKwbNky7N+/H+rq6jh06BDy8vIY72/58uU4e/YsTp8+jfHjx1ebCn//Pb3wb9ra2ujevTtdKqgA+tuSErrCU+AESdCnwFGlO3/+PPLz88v1KZvJYKC8xxenp6dj7NixsLW1xZo1a+Dl5QVFRUVGxiAs9evXx5YtWxAeHo5Ro0Zh8eLFaNu2La5evcp4Jv3UqVNx69YteHt7Y/DgwQKZiagobW1tJCUlISkpqdjnLS0tcffuXcTHxwt5ZDUTDQYooSs8BU6QhHEKHFU8QgicnJwwZswYNGnSpMzrVVRUkJiYyMgUdHmOLw4NDUW3bt3w8OFD3Lp1C/b29mXOXlRnzZo1g7OzM16/fg0tLS1MmDABPXr0QEBAAKP9DBs2DD4+Pnjz5g369u2LHz9+MNp+RRXuKAgLCyv2eTMzM4iLi9OaA+VEgwFKqHg8Hu7du4esiOdgEcGs6QvzFDjqXwEBAfjw4QNsbGzKdb2KigoIIUhISKhy32UdX3z58mV069YNEhISePnyJUaOHFnlPqsLPT09eHp64sGDB8jPz4ehoSFGjx5d4ptlZfTs2RP+/v74+fMnevXqhS9fvjDWdkVpaGiAzWaXuFRQWHPgzJkztOZAOdBggBKK9PR0HDx4EDo6Ohg0aBBy3vuAsATz7cflEUzuLtxT4Kj/cXJygoaGBoyMjMp1fdOmTQEwU3iopJmB/Px8LF26FObm5hg1ahSePXsGDQ2NKvdXHfXv3x8vXrzAhQsX8Pr1a+jq6mLu3LmMBFsA0K5dOzx58gRiYmLo2bMnXr16xUi7FSUlJYVWrVqVmEQI/Fkq+PDhA4KDg4U4spqJBgOUQIWGhmLu3Llo1qwZli1bho4dO8LPzw/vAu7BUL0R41UIOWwWDNUbVbm+PVU5SUlJuHr1Kqytrct9hDCTVQjT0tIgLS0NSUlJ/mM/fvyAsbExDh06hAMHDsDFxQWysrU7n4TNZsPCwgKfPn3Cjh07cPHiRairq2Pz5s2MHFespqaGgIAAqKmpoW/fvnj06FHVB10Jpe0oAGjNgYqgwQDFuIKCAty4cQMDBgxAu3btcP36dSxbtgxRUVG4fPkyDA0NwWKx4DBGD2IMBwNi7D/tUqJR+EvX0tKy3Pc0btwYHA6HsZmBv5cInjx5gi5duuDz58/w9fXFwoULq81eeWGQkpLCsmXL8OXLF9jY2GDr1q1QV1fHiRMnqpyj0bhxYzx8+BDdu3fHoEGDcP36dYZGXX6l7SgA/tQcmDJlClxdXZGbmyvEkdU8NBigGJOYmAgHBwe0bt0aY8eORW5uLlxdXRETE4NNmzahWbNmRa5voSCDTSN1GR3D5pG6lT76lqoaHo+H48ePY/z48WjUqFG572Oz2WjatCljwYC8vDwIIXB0dETfvn3RunVrhISEoHfv3lVuv6ZSUFDA7t27ERYWhv79+8Pa2hodOnSAh4dHldbT5eTk4OHhgTFjxmD8+PE4fvw4g6Mum7a2Nr5+/Vrqdkdac6B8aDBAVdnz588xdepUtGjRAvb29jAxMUFISAgCAgIwceJESEhIlHivub6qQE6Bo4TP19cX4eHh5U4c/BtT2wvT0tJQv359TJ06FQsWLMC8efPw8OFDfl5CXdeyZUu4uLjg5cuXUFZWxogRI2BkZIQXL15Uuk0JCQm4urpi7ty5sLGxwZYtW4SWsKetrQ1CCMLDw0u8RkdHBwYGBnSpoAw0GKAqJScnB+fOnUO3bt1gYGAAf39/bN26FXFxcXB2dkanTp3K3ZYgT4GjhMfJyQlt27at1CdwpoKBuLg4hIaG4vr163B1dcX+/fshLi5e5XZrmy5duuDBgwfw9PREUlISunXrhokTJyIyMrJS7bHZbBw8eBD29vZYt24dFi5cKPBTFoH/bS8sbakAoDUHyoMGA1SFxMbGYu3atVBVVcW0adPQsGFD3L59GxEREVi+fHmlC7cI+hQ4SrB+/PiBGzduYPbs2ZVak1dRUanyL2oPDw88fvwYAPDs2TNMnDixSu3VdiwWC0OHDsWbN2/g7OyMx48fQ1tbG0uWLEFycnKl2rOzs8OxY8dw5MgRWFhYCKQi4t8UFRXRuHHjUpMIgT81B8TExODi4iLQ8dRkNBigykQIga+vL0xNTdGyZUs4Ojpi4sSJ+PTpE7y9vTF8+HBGirYI4xQ4SjBOnToFcXFxTJkypVL3V2VmgMvlYv369RgxYgRkZGQwceJE6OnRJNLy4nA4sLKyQnh4ODZs2ABnZ2e0adMGu3btqlTpYRsbG1y9ehXXr1/HiBEjkJmZKYBR/09ZOwqAP3UnRo8eTWsOlIZQVAl+/fpFDh8+TNq2bUsAEF1dXXLkyBHy69cvoY0hMyefvP+WRkKiU8j7b2kkMydfaH1T5VNQUEBatmxJpk+fXuk2Tp48SQCQ3NzcCt2XnJxMBg8eTFgsFtm6dStRUVEh69atq/Q4KEISEhLIvHnziJiYGFFVVSXnzp0jXC63wu08fPiQ1KtXj+jr65OfP38KYKR/WFtbk44dO5Z53Z07dwgA8uLFC4GNpSajwQD1j0+fPpGFCxeS+vXrEw6HQ0xNTYmvry/h8XiiHhpVDXl5eREA5NmzZ5Vuo/AXdXR0dLnvCQ4OJi1btiSKiorE29ubEEKIrKws2bt3b6XHQf1PWFgYGTt2LAFAOnbsSO7fv1/hNkJCQoiSkhLR0tIiUVFRAhglIXv37iXS0tJlBiwFBQVERUWFzJ8/XyDjqOnoMgEF4M9U6+3btzFo0CBoa2vj4sWLWLBgAb5+/Qo3Nzf069evTu3PpsrPyckJHTt2RLdu3SrdRkULD505cwa9evWCoqIigoODYWJigvz8fGRlZVXo+GKqZJqamrh27RoCAwMhLS2NgQMHYvDgwXj79m252+jUqRMCAwORl5eHXr16ITQ0lPFxamtr4/fv34iJiSn1Og6Hg8mTJ9OaAyWgwUAdl5ycjF27dkFdXR0jR45Eeno6zp8/j9jYWGzZsgUtWrQQ9RCpaiwuLg63b9+udOJgofIGA7m5uZg9ezamT58OCwsLfhU8oGLHF1Pl17NnTwQGBuLatWuIjIxEx44dMX36dMTFxZXrfnV1dQQGBqJRo0YwNDTEkydPGB2fjo4OAJSZNwD8qTmQkpICDw8PRsdQK4h6aoISjZCQEDJjxgwiJSVFJCUlybRp08jz589FPSyqhtmwYQORk5Orch4Jj8cj4uLi5NChQyVeExMTQ7p160YkJCTIiRMn/nk+LCyMACCPHj2q0liokuXl5RFHR0fSuHFjIiUlRWxtbUlaWlq57k1LSyN9+vQh0tLSxMPDg7ExcblcIiUlRfbt21eu67t160aGDx/OWP+1BQ0G6pDc3Fzi6upKevbsSQCQFi1akG3btpHExERRD42qgfLz80mzZs2IjY0NI+2pqakRW1vbYp978OABadSoEWnRokWJQeuzZ88IAPL69WtGxkOVLD09ndjZ2RFpaWnSqFEjcvDgwXIlf/7+/ZuMHj2acDgccvbsWcbG06FDB2JtbU14PB5JSkoqNb/pyJEjhMPhkPj4eMb6rw1oMFAHfPv2jaxfv54oKysTAGTAgAHkxo0bJD+fZuZTlXfz5k0CgISEhDDSXo8ePYilpWWRx3g8HtmxYwdhs9lkwIABpQaud+/erXASIlU1cXFxxMrKirDZbNKmTRty5cqVMhON8/PziZWVFQFAdu/eXem+eTweuXPnDtmxYwdp1aoVkZOTI3JycgQA2bVrV4n3paSkEAkJiSr1XRvRYKCW4vF4xM/Pj0yYMIGIiYkROTk5Mm/ePBIaGirqoVG1xJAhQ0i3bt0Ya8/U1JSYmJjw/52ens7PZre1tSUFBQWl3n/x4kUCQKhbX6k/3r17R4YOHUoAEAMDA+Lv71/q9Twej6xZs4YAICtWrKjUTqWQkBACgLDZbMJmswkA/h93d/dS750wYQJp164d3SH1FxoM1DKZmZnk+PHjpH379gQA0dLSIocOHSLp6emiHhpVi0RGRhIWi0VOnTrFWJvz588n7dq1I4QQEhoaSrS0tEi9evXI9evXy3X/0aNHCYfDob/gRejBgwekc+fOBAAZNWoU+fjxY6nX79+/nwAglpaWFZ6p5PF4ZOjQoYTD4RQJBKSkpMjv379LvbdwO+zLly8r1GdtRoOBWiIiIoIsXbqUyMvLEzabTUaNGkXu379PfzFSAmFra0saNGhAsrKyGGvTwcGBKCgokCtXrhBZWVnStm1bEhYWVqH7FRUVGRsPVTlcLpe4uLgQNTU1wuFwyOzZs0tdn3dxcSFiYmJkxIgRFf5+SkhIIIqKioTFYvFnCUxNTcu8Lz8/nzRt2pTWHPgLDQZqMC6XS7y8vMjQoUMJi8UiCgoKZNWqVeTr16+iHhpVi+Xm5hJlZWWyYMECRtstrEIIgJiZmZGMjIwK3b9ixQrSpk0bRsdEVV5OTg7Zs2cPadiwIZGVlSWbNm0q8f/pnTt3iIyMDOnVqxdJSUmpUD+FuSKFf1xcXMp138qVK4mCggLJycmpUH+1FQ0GaqDU1FSyd+9eoq6uTgCQzp07k9OnT5Ps7GxRD42qA65cuUIAkPfv3zPW5o8fP4ienh4BQOzs7Co1ozVr1izStWtXxsZEMSMlJYUsX76cSEhIkCZNmpDjx48XuyTw7NkzoqCgQNq1a0e+fftWoT4WLVpEABAWi1XurY6hoaEEAHFzc6tQX7UVDQZqkDdv3hBra2siIyNDxMXFiYWFBXny5AldCqCEasCAAaR3796Mtff06VOioqJCFBUVCQASEBBQqXbGjRtHBg4cyNi4KGZ9/fqVWFhYEACkbdu25Pbt2//87vrw4QNp0aIFUVNTq9AS0e/fv0mDBg1Iy5YtKzSmbt26kREjRlTontqKViCs5vLz83H16lX07dsXHTp0gIeHB2xtbREbG4sLFy6gR48etEwwJTSfP3/GgwcPMHv27Cq3RQjBkSNH0KdPH7Rs2RJ+fn4Ayl+S+L/S0tJo9cFqrGXLlrhw4QKCg4PRpEkTjBgxAkZGRnjx4gX/Gh0dHQQGBoLH46FHjx54+fJludqWkpJCTEwMnr4IQej3dLyKSUXo93Rk5RaUet+0adPg5eWFhISEKr222oAGA9XUjx8/YG9vj5YtW2LChAlgsVi4evUqoqKiYGdnB2VlZVEPkaqDjh8/DkVFRZiamlapnezsbFhaWmLevHmYPXs2fH19oaOjAykpKcTHx1eqzdTUVHouQQ3QuXNn+Pj4wMvLC8nJyejWrRsmTpyIyMhIAH8CztjYWBBC0K9fP/j4+JTaXnhCBja6h2KEUzB67HmCYYcCMObon/+22+iNvrt8sdE9FOEJGf/ca25uDg6HAxcXF4G81pqEBgPVCCEET58+hYWFBVRVVbF9+3aMGDECb9++xaNHjzBu3DiIi4uLephUHZWTk4MzZ87A0tISUlJSlW4nMjISPXv2xNWrV3H+/HkcPHgQEhISYLFYUFFRqfTMQGpqKp0ZqCFYLBaGDBmC169f4+TJk/Dz84O2tjYWL16MhQsXgsViITU1Fa1atcLQoUNx5cqVf9qITcnGlJNBGLjfD+eDohGdkg3yn2sIgOiUbJwPisbA/X6YcjIIsSnZ/OcVFBQwatQonD59GoT89+66hQYD1cDv379x+vRpdO3aFT179kRQUBB27NiBuLg4HDt2DHp6eqIeIkXh2rVrSE5OhrW1daXb8PLyQpcuXZCZmYlnz55h8uTJRZ5v2rRplZYJ6MxAzcLhcDBjxgyEh4dj48aNcHJywocPH/hvzJGRkRg6dCjMzc1x5MgR/n2XXsTAeN9jPIlMBgBweaW/kRc+/yQyGcb7HuPSi/+dcGhpaYn379/j1atXTL+8GoUGAyIUFRWFVatWoXnz5rCyskLTpk1x584dfP78GUuWLKG/2CiRW7x4MUaOHAkvLy8cO3YM/fv3h6amZoXb4fF42LhxI4YPH47evXvj5cuXaN++/T/XVXZmgMfj0WCgBpORkcHSpUv/mdnJyclBUlISFi1ahHnz5mHjxo049DAcq6+/Q24Br8wg4L+4PILcAh5WX38HR99wAICJiQmaNGmCM2fOMPRqaiYaDAgZIQT379/HqFGj0Lp1axw/fhyWlpb4/PkzPDw8MHjwYLDZ9H8LVT08efIEt2/fxrBhwxAQEAAlJSX8+PGjQm2kpKRgxIgR2Lx5MzZt2oRbt26VOJ1f2WAgMzMTPB6PLhPUYEePHv3ne4vH4yEwMBB5eXnYvn079tx4ij33PzPS3+57n3H5RQzExMQwZcoUuLi4IDc3l5G2ayL6riMkv379wqFDh6CjowMTExNERUXByckJcXFx2LNnD9TV1UU9RIr6R5MmTYr8+8qVK2jevDkOHDhQrvtfv36Nrl274unTp/Dy8sK6detKDXYrGwykpqYCAJ0ZqMGkpaXRunVrqKiooGHDhpCSkuLvlLp8+TImzVoA5WELGF3bX+8eitiUbEybNg0pKSnw9PRkrO2ahgYDAvbhwwfMmzcPzZo1w9KlS9GhQwf4+fnh9evXmDVrFmRlZUU9RIoqUePGjSEmJsb/N/lTmwTNmjUr895z586hR48ekJeXR3BwMAYPHlzmPSoqKkhPT0dWVlaFxlkYDNCZgZpr9uzZ+PLlC759+4aUlBT8/v0bXC4XOTk5SEhIwJob70BYbEa3UhfwCNbceAddXV3o6+vX6aUCGgwIQEFBAW7cuIEBAwZAV1cX165dw9KlSxEVFYXLly/D0NCQ1gagaoRGjRrxP4mx2WxISkri9u3bGDduHP+agoKie7nz8vIwb948TJs2Debm5ggMDESrVq3K1Z+KigoAVHh7YVpaGgA6M1DbsFgsSEpKIjIpG/4RSRXOESgLl0fgH5GEiMQMWFpa1umaAzQYYNDPnz+xbds2tG7dGmPHjkVOTg5cXV0RExODTZs2levTFEVVJ40aNQKXywWLxYK8vDz8/f0xdOhQ/vPR0dFo3Lgxjh49CgCIi4tD3759ceLECRw7dgynTp2CtLR0ufurbDBAlwlqN5egGHDYgvkAxWGzcOFZTJ2vOSBW9iVUWV68eAFHR0dcunQJbDYbkyZNwrx589C5c2dRD42iqqQwoUpJSQlPnjxB69atizy/c+dOpKWlYcGCBeByubC3t4eEhAT8/f1hYGBQ4f4Kg4GK5g0Uzgw0aNCgwn1S1Z9vWCLjswKFuDwC38+J2DhSFyNHjsSZM2ewZMmSOjd7W6tmBrJyCypUirIqcnNzcf78eRgYGKBbt27w8/PDli1bEBcXh5MnT9JAgKpRSvrZGT58OPT19fHmzZt/AoGEhAQ4OzsD+JP1vWDBAqirqyM4OLhSgQAA1KtXDzIyMhUOBlJTUyEnJ0eLctVCmbkFiPmrUJAgxCRnIyu3AJaWlnj37h1ev34t0P6qoxo/MxCekAGXoBj4hiUi5j8VqFgAVBVkYKSlBAsDVWgo1ytXm79//y5xajM2NhbHjh3DiRMn8PPnT5iYmMDd3R1Dhw4Fh8Op+guiKCEp78+Oy+0HUC7mZ2f//v38fAFCCP+TVFWm6itbhZBWH6y9opOz/qksyDQCICo5C4MGDYKysjLOnDmDTp06CbjX6qXGzgwwUYqyOF5eXpCXly+yxYQQAl9fX5iamqJly5Y4dOgQJk6ciE+fPsHb2xsjRoyggQBVYzDxs5OWlob9+/eDx+P97x5C8OTJE2zbtq1K46tMMEALDtVeuQW8si9iQF4Br0jNgby8PKH0W13UyGCAyVKUf3vz5g3GjRuHvLw87Nq1C5mZmTh69CjatWuH/v3749OnT3B0dMS3b99w4MABaGlpMfvCKErAmPrZWbp0KXJycgCAPyMgJiaGjh07VqpC4d8qOzNAg4GaLSUlBc+ePcO5c+dgZ2cHMzMzdOrUCUZ9egulfwmxP2+H06ZNQ3Jycp2rOVDjlgkcfcOx+17lKlBxeQRcHsHq6++QlJmL+UYa/Oe+f/+OwYMH86PBx48fo0mTJvj9+zdGjx4NR0dH9OvXr84llVC1B5M/O7GxsZCXl8eoUaPQo0cPdO3aFe3atYOkpGSVx6miooKQkJAK3UOPL64ZMjMzERERgc+fP+Pz588IDw/n/z0lJYV/XfPmzaGhoQEDAwOYaWjhWJJgx8UC0FLxT82Xdu3aoWvXrjhz5gzGjBkj2I6rkRoVDFx6EVPpX2b/tfveZzSWk4SZviqysrIwZMgQJCYmFpn21NTUxM2bN6GqqspInxQlKkz/7OxwOIn7+oL5uajszICGhkbZF1ICl5eXh8jISP6b/N9v+n//f23UqBE0NDSgpaWFESNGQFNTExoaGlBXV/+nGNudXb6IFmASoaqiDGQl//d2aGlpiUWLFiEhIaHOHBdfY4KB2JRsbHAPZbTN9e6h6NmmEYb27Y7379//8/zHjx/pViWqxhPkz04LBRlG2wX+BAOZmZnIyMhAvXrlS/qlCYTCxeVyERsbW+wbflRUFP9DlZycHP9N3tDQkP93DQ0NKCgolLs/Iy0lnA+KFsj2Qg6bBSNNpSKPmZubY+nSpbhw4QI6duyIK1euYOrUqejVqxfj/VcXNSYYWHPjHQoY/kYo4BGsuBqCjx8/Fvt8Tk4O7t69CzMzM0b7pShhEtTPzpob73DeqnJbCEvzd+Gh8gYDNIGQeYQQ/Pjxo8hU/v+1d+9xUdX5/8BfZ2a4DZeRiwyMiCgMuBGWW14TW0TZvJHYqiReFl3ULmZuttHl90197JZYfStLjQHEjdyvZmmaGqbmnTLb3Lw8MkGFQQYhYEQuAnM5vz/cOYEMMMA5c2Hez8eDh8PMeM4Z5XBe530+5/0xPS4qKuIuqbq6uiIiIgJKpRJPPPEEd8CPjIxEUFAQL5dWU0aFYuu3xb1ejjkGI4t5o9tWubRaLYYMGYL09HTujpmQkBAKA7ZWWFGHk0X8XzQyGFl8V1yLn8u0CPGRQKvV4tatW7h16xa0Wi13+YAQRyXkvmNq4xoRaNkB21LBwcEA7o7jsXQwIlUGek6r1Zo94F+5cgX19fUA7raiDgsLg1KpRHx8PJ566inuoB8aGir43VRKuTdiIwJQcK2a1+qAWMRg7BB/7meYZVlMmTIF+fn5EIlEbS4b9/UOsg4RBkytKIUqEW07o8bqxGh4eHhwZyWE9AVC7zuffHd33+FT6zBgiaamJjQ1NVFloBONjY1tBu61PuhXVf0WFhUKBSIjI/HQQw/hySef5A74Q4YM4WVwaG+8kRSDie8e5/VnWSJi8EZSDPc9wzBcsGkdBAAKA3bBKq0o0fYXGsuyOHPmDNRqNWbPni3IugkRmi32nd7y9vaGt7e3xWGAJim6q6WlBdevXzd7ln/jxg3ufb6+voiKioJSqcTkyZPbXMf38vKy4Sfo3EA/KdYkRiN91wXelrk2MRo+Yh1SU1OxcuVKDBs2DLt27cLcuXOxa9euNtMlUxiwMWu2ovR0k6ChoQH/+te/8MEHH+DChQsQi8X405/+1Okc7ITYI2vvO3zqzh0FzjR9sdFoRGlpqdkD/vXr12EwGAAAUqmUO8gvXLiwzXV8f39/G3+KnkseEYqq+mZe7oxpKPg/SMcaMf2Ft3Dy5Ek0NjZix44dcHV1xY4dO7Bs2TKu3TZAYcDmrNWKct+xMzi0Mxfbt29HQ0MDN+hFKpVSECAOyZptXKMV/N51o1AoUFZWZtF7+1plgGVZVFZWdjhwz9TsycXFBeHh4VAqlXj88ccRGRnJHfQVCkWf7YnybJwSAV5ueH3vJej/2//CUmIRA4mIwWuPKbHjwi0kJiZy/067du1CTU0N/Pz8IBaLoVKp4Ofnh/Xr10MkEvX5sGn3YaDFSq0oF6QuQkv5b2nTVB7S6XRYsGAB/P3923z5+fm1+V4qlfbZnY84JmvtO0KsR6FQQK023yn0Xo46fXFtbW2bA37rg/7t27cB3L2GPWjQICiVSjz66KNIS0vjDviDBg2CRGL3v8IFkTwiFI+EB+CV3Rdwsqiqy3ExptfHDvHHG0kxCPH1wLH/9g8w/a43GAzYtm0bli9fDuDuv31GRgZqampw9uxZ7vd7Q7MexdUNaNEb4SoRIczfk/fKmC3Y/ScwtYgU2kurXsDGf7wMrVbb5jqRm5sbrl27hrNnz6KmpgbV1dVcKa41Nze3doGho+Bg+vL19XXanZkIz1r7jhDrUSgUOHPmjEXvNVUG7PHM7c6dOygqKjJ7ll9ZWcm9LygoCJGRkXjggQcwa9Ys7oAfHh4Od3d3G34C+zXQT4q8xaN+m3DrSiXU1WYm3PKXIi4yEPNGh3J3DbzzzjvYsmVLm+WxLAuVSsWFAZOsrCwUVtRh9d5LvE6IZ2/s/kgU5u8JBhC03MkAeOmZRUhfNg8ZGRl48803wbIs9Ho9xowZg6+++op7L8uyuH37Nqqrq7v8Ki4u5h7X1dWZXXe/fv0sDg+mL09PT6pCkC5Za98xtXHlk2nMQOvZEDui1Wrh4uICqZT/BkiW0Ol0KC4uNnvALy0t5U4uZDIZN3Bv4sSJiIqKQmRkJCIiIuDj42OTbe8LlHJvrE6MxmpEW3zW7uPjg4CAAFRVVUEsFnMneBcvXsT333+PkSNHArjbsKur6kPrSb22fluM2IgAvJEUI0hDLiHZfRjwdJMg1E9qpVaUEqxZswYLFizAihUrsH///natKBmGgUwmg0wmaze/e2daWlq4ykJHXzU1NSgpKcGPP/7IPWdqeNGaq6urxcGh9fuoCuFc6rRV8BY147ZRuFvC7m3jypfg4GA0Njbi9u3bXXYBNfUYEDIgG41GlJWVmT3gX7t2jdtPPTw8uJH5KSkpba7jBwQEUIgXmKebxKLxK2lpaVi8eDF++ukn5OfnY9++ffj222/BsixeffVVHDp0CNvPqrlxCUD3J/VakxiNZIFadgvBIY4O1m5FGR4ejn379uHEiRMYOHAgL+txdXVFUFAQgoKCLP47LMuirq6uw+DQ+vvS0lLusel64718fHwsCg6tQ4a3tzf9AnMgRqMRR44cQWZmJvbs2QPf+CXwHD4ZLPj/PzS37/DF1O9Do9F0GQb46j7IsiyqqqrMXscvLCzEnTt3ANydnXHIkCFQKpWYOnVqm5H6AwYMoAHHDkIkEmH48OEYPnw4Xn75ZdTW1iI3NxejR48WbEI8e8awrS+Q26nCijpMeu+EYMs/vHI8713UbEmn07UJC11VJExfOp2u3bJcXFy6rD6Ye93FxcUGn9x53bx5E7m5ucjKysL169cRHR2NpUuXYsxjM/GnLf8RbL1C7TtXr15FREQEDh8+jPj4+E7fu3jxYly6dAnfffedRcuuq6vrcOCeafwBAISGhnIH+dYH/LCwMPr57sO2n1Xz2ssgY2YM5jhAhcAhKgPWakXZV7i4uEAul3drti2WZVFfX29ReDh//jz3uLa21uzyvL29uz2g0sfHh6oQ3WA0GnH48GGoVCrs2bMHEokEc+bMwSeffIIxY8Zw/5axETd433cYBhgXHiDYvtOdLoTmpi9uamrC1atXzZb1b968yb0vMDAQSqUS0dHRSEpK4g744eHhNhuDQGzH0Sb14pNDhAHAOq0onRnDMFznt7CwMIv/nl6vh1ar7bLqoNFocPHiRVRXV6Oqqoqb5KQ1iURiNih0VZlwdXXl8V/C/pWXl3NVgOLiYtx///149913kZKSYrZcLsS+w7LA2HDhmtdIpVL069ev0zCg1+tRUlKCoqIiSCQSPPvss9xBv6SkhBu45+3tzZ3dx8XFcQd8pVJpl3cgENtxtEm9+OQQlwlM+C7faPM/xIQwd8ycORMJCQlOM2+1rbEsi8bGxi4DxL0VCtP95Pfy8vLqVnjw9/eHTCZzqCqE0WjEoUOHkJmZib1798LV1RVz5szBkiVLMHr06C4/y6ZjRVh/8Bdet8lNIsLhlY92eMZTWFiIkJAQeHh49Gj50dHRiI+Px0svvWS2rH/16lXu0pZYLMbQoUPblfQjIyMRGBjoUP/XxDac/XK0Q4UBAL0a2NHaWK8q/N9rf27z3LBhwzBt2jQsWrQI4eHhvV4H4ZfBYOi0CtHR5Q1Tx7bWxGIx/Pz8LL4bw/Rl7claNBoNcnNzkZ2djeLiYsTExGDp0qVISUnp1lnt/JwzOHW1Cnzu7abLbPee8TQ1NSE9PR3vv/8+3nzzTaSnp3e5rOrq6nYH/K+++gp37tzhbvsSi8UICwtrd8BftGgRUlJSsG7dOv4+HHE6q/deEnSg+vxRg3if1ItPDnOZwISPVpRrE6MxY5gc+zKWt7n///z58zh//jzUajXy8vKE2HzSC2KxGAEBAQgICOjW3zNXhTAXHC5fvtymCmEuJ0ul0m6FBz8/P/Tr169bI8wNBgMOHToElUrFVQGSk5OxZMkSjBo1qttnudacxvinn37CnDlzUFhYCIZhcPHiRe799fX13Mj8e6/j19TUcO8bMGAAIiMjoVAo0NLSgg0bNiAyMhKDBw82e0morq7OofvtE/vgiJN68cnhwgDQ+1aUprJmamoqNm7cyJ15iEQiBAcHIyMjwyqfg1iHVCqFVCrt1m2iBoMBt27d6rLqUFVVhV9++YX73nT7WWsikQi+vr5dBgeWZXH8+HHs2bMHN27cQExMDN5///1uVwHuZY1pjP/f1KF455138MorrwD4bfrXzz//HGVlZbhy5Uqb6//+/v6IjIxEVFQUpk2bxp3tR0REwNPzbhOj9PR0fPrpp5g+fXqH6zcajbh9+zZd+ye94siTevHFPrfKAr1pRWnyl7/8BRs2bOC+NxqNWLlyJXePM3FeYrGYO0h3x507dyy6pfPKlStcmOioClFYWIh169YhKyvL4jszfH1921UhrHHGs/W5qSgpKWn3elNTE3x9fbFo0aI25X0/P78ul21JF8La2lqwLOtw8xLYGsuyMBqNMBqNMBgMMBgM3OPePGfL5fRm3Q0uvmDDnxD23xzCTOrFF4cNAyY9aUVpEhMTg+HDh+PcuXNwd3fHhAkTsGrVKkgkEqxYscKKn4L0FR4eHggJCUFISEin7ysrK8OWLVuQnZ2NmpoaREdHY9asWRg3bhyam5s7DBGFhYVc0GhoaGi3XIZh2lQh+vUPQkn0YkCApkMm6upGKEIH48aNG2bn7cjIyIBS+VvjFaPRCL1e3+Uvczc3NzQ3N+M///kPvL29zf4SNwUQjUaDU6dO9epgIfTr9rJOUwiwVwzDQCwWQyQStfmzo8d8vG50tU6jKGtNHtYTDh8GWrO0FWVrK1asQFpaGr744gskJCQgPT0dzz//PCoqKvCPf/yDRiET3hgMBhw8eBAqlQr79u2Dm5sbkpOTsXTpUowYMaLbP2tNTU1d9oS40QAIGQSAu2c8lY2s2SAA3L0rAAB3IOqu3//+912+h6/wbo0Dz73PSSQSuLq6Wu3Ax/frfC/TFr9zL2lqMfWDU4Kvx1qTh/VEnwoDPbFw4UIkJSVxE4VkZGQgMDAQq1atQkVFBTIzM6mnP+mVsrIy5OTkIDs7G6WlpXjggQfwwQcfYO7cuV222u2Mu7s7FApFp5e1zqm1SNpc0ON1WGriY5NR8cu/UV9f3+61l19+GYGBgd0+SPz6669ITU3FunXrMHLkSLN//4cffsBTTz2FAwcOICwsrFcHIWoj7LwceVIvvtBRDmg3Y9gLL7wAuVyO1NRU/Prrr9i+fTt1IyPdYjAYkJ+fz1UB3N3d8eSTT2LJkiU9qgL0lLXORJY/vQwb/mcl8vLysHbtWqjVau61ZcuWcR0Fu6O5uRmpqamQy+WIi4sz+x7TZYJRo0ZZNA6BEHOsOyGefaIo3IF58+Zh7969OHLkCBISEjpseENIazdu3MDatWsxePBgTJs2DWq1Ghs3bkR5eTmys7MxcuRIq5ZBTWc8QjKd8bi6umLx4sW4evUq8vLyEBERAYlEAnd39x4t183NDf7+/igvL+/wPab9sjcVFkKAuxPiiUXC7C1CTurFFwoDnZg8eTK++eYbXL58GbGxsSgrK7P1JhE7ZDAYsG/fPiQmJmLQoEFYv349/vjHP+L777/Hjz/+iGXLltlsvnrTGY+Q7j3jkUgkmDdvHi5fvozi4uJejfQ33VHQEa1WCx8fH4jF4h6vgxAASBkVKuhdN/NG2/dkRRQGujBq1CicOnUKt2/fxtixY3H58mVbbxKxE6WlpVizZg3CwsIwffp03LhxA5s2bYJGo0FWVpZVLwd0xlZnPGKxGAMGDOjV8oODgzsNA3xNX0yIaUI8vvcVsYhBbIRwk3rxhcKABYYOHYqCggJ4e3tj3Lhx+P777229ScRG9Ho9vvzyS0yfPh1hYWF46623MHnyZJw9exb//ve/sXTpUptVATriyGc8llQGKAwQvryRFAMJz2HAUSbEozBgoZCQEJw4cQJRUVGIi4tDfn6+rTeJWFFpaSlWr16NwYMHIzExEWVlZdi0aRPKy8uhUqnw8MMP20UVwBxHPuPpKgyYm76YkJ4a6CfFGp7nD1ibGG330xcDFAa6xc/PD4cOHcKECRMwffp0bNu2zdabRASk1+uxd+9eTJs2DWFhYXjnnXcwZcoU/PDDD/jxxx+xdOlSeHvbd+nPxFHPeBQKBcrLyzvsT0CVAcK35BGhWJUQycuyXkyIwpwR9j1WwITCQDdJpVLs3r0b8+fPx7x58/Duu+/aepMIz9RqNV5//XWEhYXh8ccfx82bN7F582ZoNBpkZmbioYcesvUmdpujnvEoFArodDpUV1ebfV2r1VJlgPDu2Tgl1s2MgZtE1O2KmljEwE0iQsbMGDwTFyHQFvLPfm96tGMSiQQ5OTmQy+X461//ips3b2LdunV2WyYmXdPr9Thw4AAyMzPx1VdfwdPTEykpKUhLS3PIg785ySNCUVXfzMsU4NY64zE1VNJoNOjfv3+712kAIREKXxPiOQoKAz3EMAzefPNNyOVyrFy5EpWVlcjKyqJuhQ6mpKQEOTk5yMnJgUajwcMPP4zMzEw8+eST8PLysvXm8Y6vKcCtVfo0hYHy8nI88MAD7V6nywRESHxMiOco6MjVS88//zwCAwOxcOFCVFVVYceOHdSt0M7p9Xrs378fmZmZyM/Ph5eXF1cFsKQPvqNzpDMeuVwOAGYHEbIsSwMIiVX0ZkI8R+H4n8AOzJ07FwEBAZg5cyYmTZqEL7/8klqj2qHi4mLk5ORgy5Yt0Gg0GDFiBFQqFZKTk/tkFaAzjnLG4+rqiv79+5sNA3fu3EFLSwtVBohV9WRCPEdAYYAnCQkJ+OabbzBlyhTExsbi4MGDXU5jS4Sn0+m4KsDBgwe5KsCSJUswfPhwW2+ezTnCGU9HtxfeunULAKgyQAgP6G4CHo0cORKnT59GQ0MDxo4di59//tnWm+S0iouL8dprr2HQoEFISkpCTU0NsrKyoNFosHnzZgoCZpjOeIaH+iJaIbOLIAB0HAZM8xJQZYCQ3qMwwLOoqCicPn0aMpkM48aNw3fffWfrTXIaOp0Ou3fvxmOPPYYhQ4Zgw4YNmDFjBs6dO4czZ85g8eLFTnc5oC+gMECI8CgMCGDAgAE4ceIE7rvvPkyYMAEHDhyw9Sb1adevX8err76K0NBQzJw5E1qtFtnZ2SgvL8emTZvw4IMP2noTSS/QZQJChEdhQCC+vr74+uuvMWnSJCQmJuLjjz+29Sb1KTqdDrt27cJjjz2G8PBwfPjhh5g5cyZXBVi0aBE8PT1tvZmEBwqFAjdv3oTBYGjzPFUGCOGPfVwU7KM8PDzw+eefY9myZVi4cCEqKyuxatUqW2+WQ7t+/TqysrKwZcsWVFRUYPTo0cjJycHs2bPp4N9HKRQKGAwGVFVVcbcaAncrA25ubnB3d7fh1hHSN1AYEJhEIkFWVhaCgoLw4osv4ubNm1i/fj1EIirKWEqn02Hv3r1QqVT4+uuv4ePjg/nz5yMtLc1sIxrStwQHBwO422ugdRighkOE8IfCgBUwDIO///3vkMvlWLFiBSorK5GTkwMXFxdbb5pdu3btGrKzs9tUAXJzczFr1iyqAjiR1i2JW98FQmGAEP5QGLCi5cuXo3///liwYAGqqqqwc+dOOqjdQ6fTYc+ePVCpVDh06BBkMhlXBRg2bJitN4/YgFwuB8Mw7QYRUvdBQvhDYcDKkpOTERAQgKSkJMTHx2P//v3w9/e39WbZ3NWrV5GdnY3c3FxUVFRgzJgx2Lp1K2bNmkXtnZ2cRCKBXC5vFwaoMkAIf+jCtQ1MnDgRR48exbVr1zBu3Dio1Wpbb5JNtLS0YOfOnZg0aRIiIiKwefNmzJ49G+fPn0dBQQEWLlxIQYAAMH97IVUGCOEPhQEbefjhh3H69Gk0NTXhkUcewaVLl2y9SVZTVFSE9PR0DBw4ELNnz0ZjYyP++c9/QqPRYMOGDYiJibH1JhI7Yy4MUGWAEP5QGLAhpVKJgoIC+Pn5ITY2FgUFBbbeJMG0tLTg008/xcSJE6FUKpGZmYnk5GRcuHABp0+fxoIFC6gKQDqkUChQXl7e5jkKA4Twh8KAjQUHB+PEiRMYNmwYJk6ciH379tl6k3hVVFSEl156CSEhIZgzZw6amprw8ccfQ6PR4P3338f9999v600kDoAuExAiLAoDdkAmkyE/Px+TJ0/GjBkzsHXrVltvUq+YqgDx8fFQKpVQqVSYO3cuLl68iFOnTmH+/Pnw8PCw9WYSBxIcHIyKigro9XoAgF6vR11dHVUGCOEJhQE74e7ujk8//RSLFy9GamoqMjIywLJs13/RjhQWFuJvf/sbVwVoaWlBXl4eNBoN3nvvPURHR9t6E4mDUigUMBqNqKysBADU1tYCoHkJCOEL3VpoR8RiMT766CPI5XKkp6ejoqICb7/9tkXdCm01F31zczO++OILZGZm4ujRo/D19cXChQuRlpaG++67T/D1E+fQuvGQQqGgeQkI4RmFATvDMAzWrl0LuVyO5cuXo6KiArm5uXB1dW333sKKOmw7o8bRXyqhrmlE6zoCAyDUT4q4qECkjAqFUu7N63ZeuXIFWVlZ2Lp1K6qqqhAbG4tPPvkETzzxBPWKJ7xrHQYAmqSIEL5RGLBTzzzzDAIDAzFv3jxUV1fjs88+g5eXFwCgtKYRr+y+gJNFVRCLGBiM7S8nsABKahqRd6YEW78tRmxEAN5IisFAv85H7FdXV6OhoQGhoaHtXmtubsbu3buhUqlw9OhR+Pn5cVWA3/3ud7x8bkLM6d+/P8RiMRcGaPpiQvhFYcCOzZo1C/7+/pgxYwYmTJiA/fv340jxHby+9xL0/w0A5oJAa6bXC65VY+K7x7EmMRrJI9of6AGgoqICI0aMAMuyKC4uhlgsBnC3CqBSqbB161ZUV1dj/PjxVAUgViUWixEUFESVAUIEQmHAzk2YMAHHjh3D5MmTMTZtDXS/m9yj5RiMLAxGFum7LqCqvhnPxinbvF5XV4eEhASUlZXBaDTiwIEDqK+vh0qlwrFjx+Dn54c///nPSEtLw9ChQ/n4aIR0i0Kh4H4+KyoqwDAMvL35vfxFiLNiWEcbsu6kNuz/Af97qoK35WXMjMGc/1YIdDodpkyZgqNHj8JgMIBhGEgkEuh0Ojz66KNYunQpkpKSqApArK6yshJvv/021Go18vPzubsIgLvjax588EH4+/tj+fLlSExMtOGWEuLYqDLgAEprGrHxu195Xeb/7L2EseEBCPH1QGpqKo4cOcLdysiyLPR6PY4fP47x48fzul5CuuPnn3/GW2+9BYZh2t1qy7Iszp07BwCIj4+nMEBIL1CfAQfwyu4L3BgBvuiNLF7ZfQEpKSnYtm2b2V+0J0+e5HWdhHTX+PHjMXXq1A5vr2UYBsHBwXjuueesvGWE9C0UBuxcYUUdThZVdTlQsLsMRhYni6og8Q+BQqHAwIED4ePj0+Y9hw4d4nWdhHQXwzDYvHmz2Vtrgbuh9b333qN5LQjpJQoDdm7bGTXEIkaQZYtFDIZMWoiysjKo1WrU1tZCp9OhvLwc58+fx2effSbIegnpjoEDByIjI6Pd8wzDYNy4cZg1a5YNtoqQvoXCgJ07+ksl71UBE4ORxdErlW2ek0gkCAoKQkxMDPR6vcO1RCZ909NPP831sjD9ybIsNm7cCIYRJiwT4kwoDNix+mY91DWNgq5DXd2IhmY9931zczPy8vLw0EMPITg4GKdOnRJ0/YRYQiwWIysrCwCwbNky+Pj44A9/+AOGDRtm4y0jpG+guwnsWEl1A4Q+L2cBFFc3QGasw0cffYRNmzZBq9VyZ1umWeIIsbVHHnkEVbV1uFlvwLjH58HNRYyGZr1V5uAgpK+jvciOteiNVlnPs889j2Ofb21z+5bpz4KCAjQ2NqJfv37w9fVFv3790K9fP3h4eFB5lliFLefgIMRZUNMhO3ZJU4upHwhfpo9tOIV/bVwPlmUtHiPg6uraLiCYe2zuOZlMBhcXF4E/FXF0lszBYWJ63dI5OAghbVEYsGMNzXrcv/qgoJcKGAAXV/8R1RUarFq1Cjt37oRYLIbBYACANhPDaLXaNn929Lj1cx39eHl5efU4THh7e1NVoo/bflbNzcHRnQG0YhEDiYjpdA4OQkh7FAbs3KNvHUWJgIMIB/lLcXxVHPf9iRMn8PTTT+PSpUtgGAZ6vb7Dhi9dMRqNqKur63aAMD1uaGgwu1yRSNRpgOgqTFBbZfv24dFCvP31lV4vZ1VCZLs5OAgh5tGYATsXFxWIvDMlgtxeKBYxiIsMbPPc+PHj8dNPPyE7OxvFxcU9DgLA3YO2TCaDTCbDoEGDuv33dTpdtwJEaWkp91ir1XY4+NHNza3TsNBZsJDJZNxsjoR/28+qeQkCAPD211fQ38uNm4ODENIxqgzYucKKOkx674Rgyz+8cjwiAvveoCuWZdHY2GhRBcLcc60nxLmXt7e3xVWIe1/39PSkSxwdKK1pxMR3j6OZx4GzbhIRDq98lMYQENIFCgMOYH7OGRRcq+a1OiAWMRg7xB95i0fxtsy+xGAw4Pbt2z2+xHHnzh2zyxWLxd26pHHv6x215e0L6OecENuhMOAA6IzJ8TQ3N3c7QLR+bBrAeS8PD48ehwmZTNaryz5CogoYIbZFYcBBbD+rRvquC7wtL2NmDF1LtVMsy6K+vr7HYaKurs7schmGgY+PT4/DhFQqFewSx+q9lwQdGzN/1CCsTozmfdmE9BUUBhwIX6OsX0yIwjNxETxsEbFHer0etbW1PQ4Tzc3NZpfr4uLS7Ts3Wj/urLeEte+aIYS0RWHAwfT2/uu1idFUESCdampq6tE4CdOX0Wj+cpanp6fZsODtG4ADnhMF/UymfhrUupgQ8ygMOCDqzEbsldFoRH19fbfCRJXBHY3jVwi+bfuXj0O0Qib4eghxRBQGHBjXs/1KJdTVZnq2+0sRFxmIeaNDafAUsVvn1FokbS4QfD27nxqL4aG+gq+HEEdENTMHppR7Y3ViNFYjGg3NehRXN6BFb4SrRIQwf08qiRKH4Cqxzh0O1loPIY6IjhZ9hKebhEqgxCGF+XuCAQSfgyPM31PANRDi2CgqE0JsytNNglCBx7KE+kupUkZIJygMEEJsLi4qEGKRMD0MzM3BQQhpi8IAIcTmUkaFCtJwCAAMRhbzRtPttIR0hsIAIcTmlHJvxEYE8F4dEIsYxEYE0N00hHSBwgAhxC68kRQDCc9hQCJi8EZSDK/LJKQvojBACLELA/2kWMPz/AFrE6Op0RYhFqAwQAixG8kjQrEqIZKXZb2YEEWttwmxEHUgJITYHZqDgxDrojBACLFLNAcHIdZDYYAQYtdoDg5ChEdhgBDiMGgODkKEQWGAEEIIcXJ0NwEhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5CgMEEIIIU6OwgAhhBDi5P4/wVW1+FPtDQkAAAAASUVORK5CYII=", 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" ] @@ -892,7 +892,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -1058,7 +1058,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -1085,7 +1085,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -1244,7 +1244,7 @@ "14 2.00 1810 530000.0 3.573309e+06" ] }, - "execution_count": 80, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1280,7 +1280,7 @@ }, { "cell_type": "code", - "execution_count": 81, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -1291,7 +1291,7 @@ " 'R2': -81.15197820517758}" ] }, - "execution_count": 81, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -1319,2713 +1319,13 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 2.25\n", - " - low : 0.125\n", - " - medium : 0.625\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 2070\n", - " - low : 0.76195\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.125\n", - " - sqft_living[low] : 0.76195\n", - " bathrooms[low] AND sqft_living[low] = 0.125\n", - " Activation (THEN-clause):\n", - " price[low] : 0.125\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.125\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.125\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.625\n", - " - sqft_living[low] : 0.76195\n", - " bathrooms[medium] AND sqft_living[low] = 0.625\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.625\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.625\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.625\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.76195\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3776812.006111908\n", - " low:\n", - " Accumulate using accumulation_max : 0.125\n", - " medium:\n", - " Accumulate using accumulation_max : 0.625\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 3.0\n", - " - low : 0.0\n", - " - medium : 1.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 2900\n", - " - low : 0.5327777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[low] : 0.5327777777777778\n", - " bathrooms[low] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[low] : 0.5327777777777778\n", - " bathrooms[medium] AND sqft_living[low] = 0.5327777777777778\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.5327777777777778\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.5327777777777778\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 4012045.778770892\n", - " low:\n", - " Accumulate using accumulation_max : 0.0\n", - " medium:\n", - " Accumulate using accumulation_max : 0.5327777777777778\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 2.5\n", - " - low : 0.05555555555555555\n", - " - medium : 0.75\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 3770\n", - " - low : 0.2762722222222222\n", - " - medium : 0.1608695652173913\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[low] : 0.2762722222222222\n", - " bathrooms[low] AND sqft_living[low] = 0.05555555555555555\n", - " Activation (THEN-clause):\n", - " price[low] : 0.05555555555555555\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[medium] : 0.1608695652173913\n", - " bathrooms[low] AND sqft_living[medium] = 0.05555555555555555\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.05555555555555555\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[low] : 0.2762722222222222\n", - " bathrooms[medium] AND sqft_living[low] = 0.2762722222222222\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.2762722222222222\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[medium] : 0.1608695652173913\n", - " bathrooms[medium] AND sqft_living[medium] = 0.1608695652173913\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.1608695652173913\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.2762722222222222\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.1608695652173913\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3898017.7899890468\n", - " low:\n", - " Accumulate using accumulation_max : 0.05555555555555555\n", - " medium:\n", - " Accumulate using accumulation_max : 0.2762722222222222\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 3.5\n", - " - low : 0.0\n", - " - medium : 1.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 4560\n", - " - low : 0.1152\n", - " - medium : 0.5043478260869565\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[low] : 0.1152\n", - " bathrooms[low] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[medium] : 0.5043478260869565\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[low] : 0.1152\n", - " bathrooms[medium] AND sqft_living[low] = 0.1152\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.1152\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[medium] : 0.5043478260869565\n", - " bathrooms[medium] AND sqft_living[medium] = 0.5043478260869565\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.5043478260869565\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.1152\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.5043478260869565\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 4017676.5216640085\n", - " low:\n", - " Accumulate using accumulation_max : 0.0\n", - " medium:\n", - " Accumulate using accumulation_max : 0.5043478260869565\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 2.5\n", - " - low : 0.05555555555555555\n", - " - medium : 0.75\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 2550\n", - " - low : 0.63875\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[low] : 0.63875\n", - " bathrooms[low] AND sqft_living[low] = 0.05555555555555555\n", - " Activation (THEN-clause):\n", - " price[low] : 0.05555555555555555\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[low] : 0.63875\n", - " bathrooms[medium] AND sqft_living[low] = 0.63875\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.63875\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.63875\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3898895.2060847664\n", - " low:\n", - " Accumulate using accumulation_max : 0.05555555555555555\n", - " medium:\n", - " Accumulate using accumulation_max : 0.63875\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 2.0\n", - " - low : 0.2222222222222222\n", - " - medium : 0.5\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1710\n", - " - low : 0.83755\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.2222222222222222\n", - " - sqft_living[low] : 0.83755\n", - " bathrooms[low] AND sqft_living[low] = 0.2222222222222222\n", - " Activation (THEN-clause):\n", - " price[low] : 0.2222222222222222\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.2222222222222222\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.2222222222222222\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.5\n", - " - sqft_living[low] : 0.83755\n", - " bathrooms[medium] AND sqft_living[low] = 0.5\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.5\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.5\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.5\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.83755\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3573309.2257454526\n", - " low:\n", - " Accumulate using accumulation_max : 0.2222222222222222\n", - " medium:\n", - " Accumulate using accumulation_max : 0.5\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 2.5\n", - " - low : 0.05555555555555555\n", - " - medium : 0.75\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 2690\n", - " - low : 0.5979944444444445\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[low] : 0.5979944444444445\n", - " bathrooms[low] AND sqft_living[low] = 0.05555555555555555\n", - " Activation (THEN-clause):\n", - " price[low] : 0.05555555555555555\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[low] : 0.5979944444444445\n", - " bathrooms[medium] AND sqft_living[low] = 0.5979944444444445\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.5979944444444445\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.5979944444444445\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3898623.9274494657\n", - " low:\n", - " Accumulate using accumulation_max : 0.05555555555555555\n", - " medium:\n", - " Accumulate using accumulation_max : 0.5979944444444445\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 2.5\n", - " - low : 0.05555555555555555\n", - " - medium : 0.75\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1800\n", - " - low : 0.8200000000000001\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[low] : 0.8200000000000001\n", - " bathrooms[low] AND sqft_living[low] = 0.05555555555555555\n", - " Activation (THEN-clause):\n", - " price[low] : 0.05555555555555555\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[low] : 0.8200000000000001\n", - " bathrooms[medium] AND sqft_living[low] = 0.75\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.75\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.8200000000000001\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3901450.9388564667\n", - " low:\n", - " Accumulate using accumulation_max : 0.05555555555555555\n", - " medium:\n", - " Accumulate using accumulation_max : 0.75\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 2.5\n", - " - low : 0.05555555555555555\n", - " - medium : 0.75\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1600\n", - " - low : 0.8577777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[low] : 0.8577777777777778\n", - " bathrooms[low] AND sqft_living[low] = 0.05555555555555555\n", - " Activation (THEN-clause):\n", - " price[low] : 0.05555555555555555\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.05555555555555555\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[low] : 0.8577777777777778\n", - " bathrooms[medium] AND sqft_living[low] = 0.75\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.75\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.75\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.8577777777777778\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3901450.9388564667\n", - " low:\n", - " Accumulate using accumulation_max : 0.05555555555555555\n", - " medium:\n", - " Accumulate using accumulation_max : 0.75\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 1.0\n", - " - low : 0.7777777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 910\n", - " - low : 0.9539944444444445\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[low] : 0.9539944444444445\n", - " bathrooms[low] AND sqft_living[low] = 0.7777777777777778\n", - " Activation (THEN-clause):\n", - " price[low] : 0.7777777777777778\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[low] : 0.9539944444444445\n", - " bathrooms[medium] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.9539944444444445\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 815102.9227350706\n", - " low:\n", - " Accumulate using accumulation_max : 0.7777777777777778\n", - " medium:\n", - " Accumulate using accumulation_max : 0.0\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 1.0\n", - " - low : 0.7777777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1830\n", - " - low : 0.81395\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[low] : 0.81395\n", - " bathrooms[low] AND sqft_living[low] = 0.7777777777777778\n", - " Activation (THEN-clause):\n", - " price[low] : 0.7777777777777778\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[low] : 0.81395\n", - " bathrooms[medium] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.81395\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 815102.9227350706\n", - " low:\n", - " Accumulate using accumulation_max : 0.7777777777777778\n", - " medium:\n", - " Accumulate using accumulation_max : 0.0\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 1.75\n", - " - low : 0.34722222222222227\n", - " - medium : 0.375\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1930\n", - " - low : 0.7930611111111111\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.34722222222222227\n", - " - sqft_living[low] : 0.7930611111111111\n", - " bathrooms[low] AND sqft_living[low] = 0.34722222222222227\n", - " Activation (THEN-clause):\n", - " price[low] : 0.34722222222222227\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.34722222222222227\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.34722222222222227\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.375\n", - " - sqft_living[low] : 0.7930611111111111\n", - " bathrooms[medium] AND sqft_living[low] = 0.375\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.375\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.375\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.375\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.7930611111111111\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3287219.8856393476\n", - " low:\n", - " Accumulate using accumulation_max : 0.34722222222222227\n", - " medium:\n", - " Accumulate using accumulation_max : 0.375\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 1.0\n", - " - low : 0.7777777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1410\n", - " - low : 0.8895500000000001\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[low] : 0.8895500000000001\n", - " bathrooms[low] AND sqft_living[low] = 0.7777777777777778\n", - " Activation (THEN-clause):\n", - " price[low] : 0.7777777777777778\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[low] : 0.8895500000000001\n", - " bathrooms[medium] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.8895500000000001\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 815102.9227350706\n", - " low:\n", - " Accumulate using accumulation_max : 0.7777777777777778\n", - " medium:\n", - " Accumulate using accumulation_max : 0.0\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 2.25\n", - " - low : 0.125\n", - " - medium : 0.625\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1960\n", - " - low : 0.7865777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.125\n", - " - sqft_living[low] : 0.7865777777777778\n", - " bathrooms[low] AND sqft_living[low] = 0.125\n", - " Activation (THEN-clause):\n", - " price[low] : 0.125\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.125\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.125\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.625\n", - " - sqft_living[low] : 0.7865777777777778\n", - " bathrooms[medium] AND sqft_living[low] = 0.625\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.625\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.625\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.625\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.7865777777777778\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3776812.006111908\n", - " low:\n", - " Accumulate using accumulation_max : 0.125\n", - " medium:\n", - " Accumulate using accumulation_max : 0.625\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 1.0\n", - " - low : 0.7777777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1140\n", - " - low : 0.9278\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[low] : 0.9278\n", - " bathrooms[low] AND sqft_living[low] = 0.7777777777777778\n", - " Activation (THEN-clause):\n", - " price[low] : 0.7777777777777778\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[low] : 0.9278\n", - " bathrooms[medium] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.9278\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 815102.9227350706\n", - " low:\n", - " Accumulate using accumulation_max : 0.7777777777777778\n", - " medium:\n", - " Accumulate using accumulation_max : 0.0\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 3.75\n", - " - low : 0.0\n", - " - medium : 1.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 4130\n", - " - low : 0.1942722222222222\n", - " - medium : 0.3173913043478261\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[low] : 0.1942722222222222\n", - " bathrooms[low] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[medium] : 0.3173913043478261\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[low] : 0.1942722222222222\n", - " bathrooms[medium] AND sqft_living[low] = 0.1942722222222222\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.1942722222222222\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[medium] : 0.3173913043478261\n", - " bathrooms[medium] AND sqft_living[medium] = 0.3173913043478261\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.3173913043478261\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.1942722222222222\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.3173913043478261\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 4075259.915075312\n", - " low:\n", - " Accumulate using accumulation_max : 0.0\n", - " medium:\n", - " Accumulate using accumulation_max : 0.3173913043478261\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 1.0\n", - " - low : 0.7777777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1430\n", - " - low : 0.8863944444444445\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[low] : 0.8863944444444445\n", - " bathrooms[low] AND sqft_living[low] = 0.7777777777777778\n", - " Activation (THEN-clause):\n", - " price[low] : 0.7777777777777778\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[low] : 0.8863944444444445\n", - " bathrooms[medium] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.8863944444444445\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 815102.9227350706\n", - " low:\n", - " Accumulate using accumulation_max : 0.7777777777777778\n", - " medium:\n", - " Accumulate using accumulation_max : 0.0\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 3.25\n", - " - low : 0.0\n", - " - medium : 1.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 4360\n", - " - low : 0.1494222222222222\n", - " - medium : 0.41739130434782606\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[low] : 0.1494222222222222\n", - " bathrooms[low] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[medium] : 0.41739130434782606\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[low] : 0.1494222222222222\n", - " bathrooms[medium] AND sqft_living[low] = 0.1494222222222222\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.1494222222222222\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[medium] : 0.41739130434782606\n", - " bathrooms[medium] AND sqft_living[medium] = 0.41739130434782606\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.41739130434782606\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 1.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.1494222222222222\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.41739130434782606\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 4041539.383618494\n", - " low:\n", - " Accumulate using accumulation_max : 0.0\n", - " medium:\n", - " Accumulate using accumulation_max : 0.41739130434782606\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 1.0\n", - " - low : 0.7777777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1440\n", - " - low : 0.8848\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[low] : 0.8848\n", - " bathrooms[low] AND sqft_living[low] = 0.7777777777777778\n", - " Activation (THEN-clause):\n", - " price[low] : 0.7777777777777778\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.7777777777777778\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[low] : 0.8848\n", - " bathrooms[medium] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.8848\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 815102.9227350706\n", - " low:\n", - " Accumulate using accumulation_max : 0.7777777777777778\n", - " medium:\n", - " Accumulate using accumulation_max : 0.0\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", - "=============\n", - " Antecedents \n", - "=============\n", - "Antecedent: bathrooms = 2.25\n", - " - low : 0.125\n", - " - medium : 0.625\n", - " - high : 0.0\n", - "Antecedent: sqft_living = 1960\n", - " - low : 0.7865777777777778\n", - " - medium : 0.0\n", - " - high : 0.0\n", - "\n", - "=======\n", - " Rules \n", - "=======\n", - "RULE #0:\n", - " IF bathrooms[low] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.125\n", - " - sqft_living[low] : 0.7865777777777778\n", - " bathrooms[low] AND sqft_living[low] = 0.125\n", - " Activation (THEN-clause):\n", - " price[low] : 0.125\n", - "\n", - "RULE #1:\n", - " IF bathrooms[low] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.125\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[low] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #2:\n", - " IF bathrooms[low] AND sqft_living[high] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[low] : 0.125\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[low] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #3:\n", - " IF bathrooms[medium] AND sqft_living[low] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.625\n", - " - sqft_living[low] : 0.7865777777777778\n", - " bathrooms[medium] AND sqft_living[low] = 0.625\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.625\n", - "\n", - "RULE #4:\n", - " IF bathrooms[medium] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.625\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[medium] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #5:\n", - " IF bathrooms[medium] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[medium] : 0.625\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[medium] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "RULE #6:\n", - " IF bathrooms[high] AND sqft_living[low] THEN price[low]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[low] : 0.7865777777777778\n", - " bathrooms[high] AND sqft_living[low] = 0.0\n", - " Activation (THEN-clause):\n", - " price[low] : 0.0\n", - "\n", - "RULE #7:\n", - " IF bathrooms[high] AND sqft_living[medium] THEN price[medium]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[medium] : 0.0\n", - " bathrooms[high] AND sqft_living[medium] = 0.0\n", - " Activation (THEN-clause):\n", - " price[medium] : 0.0\n", - "\n", - "RULE #8:\n", - " IF bathrooms[high] AND sqft_living[high] THEN price[high]\n", - "\tAND aggregation function : fmin\n", - "\tOR aggregation function : fmax\n", - "\n", - " Aggregation (IF-clause):\n", - " - bathrooms[high] : 0.0\n", - " - sqft_living[high] : 0.0\n", - " bathrooms[high] AND sqft_living[high] = 0.0\n", - " Activation (THEN-clause):\n", - " price[high] : 0.0\n", - "\n", - "\n", - "==============================\n", - " Intermediaries and Conquests \n", - "==============================\n", - "Consequent: price = 3776812.006111908\n", - " low:\n", - " Accumulate using accumulation_max : 0.125\n", - " medium:\n", - " Accumulate using accumulation_max : 0.625\n", - " high:\n", - " Accumulate using accumulation_max : 0.0\n", - "\n", " bathrooms sqft_living price Predicted Price\n", "14 1.00 1140 160000.0 8.151029e+05\n", "12 1.00 1410 175000.0 8.151029e+05\n", @@ -4072,7 +1372,7 @@ " prices.input['bathrooms'] = df_random.loc[i, 'bathrooms']\n", " prices.input['sqft_living'] = df_random.loc[i, 'sqft_living']\n", " prices.compute()\n", - " a = prices.print_state()\n", + " # a = prices.print_state()\n", " predicted_prices.append(prices.output['price'])\n", "\n", "\n",