1474 lines
327 KiB
Plaintext
1474 lines
327 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 397,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"|--- Density <= 1.18\n",
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"| |--- Density <= 1.14\n",
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"| | |--- value: [70.00]\n",
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"| |--- Density > 1.14\n",
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"| | |--- Density <= 1.15\n",
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"| | | |--- value: [65.00]\n",
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"| | |--- Density > 1.15\n",
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"| | | |--- value: [60.00]\n",
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"|--- Density > 1.18\n",
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"| |--- Density <= 1.31\n",
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"| | |--- TiO2 <= 0.03\n",
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"| | | |--- Al2O3 <= 0.03\n",
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"| | | | |--- Density <= 1.23\n",
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"| | | | | |--- Density <= 1.20\n",
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"| | | | | | |--- value: [50.00]\n",
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"| | | | | |--- Density > 1.20\n",
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"| | | | | | |--- value: [42.50]\n",
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"| | | | |--- Density > 1.23\n",
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"| | | | | |--- Density <= 1.25\n",
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"| | | | | | |--- value: [35.00]\n",
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"| | | | | |--- Density > 1.25\n",
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"| | | | | | |--- value: [22.50]\n",
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"| | | |--- Al2O3 > 0.03\n",
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"| | | | |--- Density <= 1.26\n",
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"| | | | | |--- Density <= 1.24\n",
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"| | | | | | |--- value: [70.00]\n",
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"| | | | | |--- Density > 1.24\n",
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"| | | | | | |--- value: [65.00]\n",
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"| | | | |--- Density > 1.26\n",
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"| | | | | |--- Density <= 1.29\n",
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"| | | | | | |--- value: [55.00]\n",
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"| | | | | |--- Density > 1.29\n",
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"| | | | | | |--- value: [50.00]\n",
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"| | |--- TiO2 > 0.03\n",
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"| | | |--- Density <= 1.25\n",
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"| | | | |--- value: [70.00]\n",
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"| | | |--- Density > 1.25\n",
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"| | | | |--- Density <= 1.27\n",
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"| | | | | |--- value: [65.00]\n",
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"| | | | |--- Density > 1.27\n",
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"| | | | | |--- value: [60.00]\n",
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"| |--- Density > 1.31\n",
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"| | |--- Density <= 1.57\n",
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"| | | |--- Density <= 1.37\n",
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"| | | | |--- Density <= 1.33\n",
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"| | | | | |--- value: [45.00]\n",
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"| | | | |--- Density > 1.33\n",
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"| | | | | |--- Density <= 1.36\n",
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"| | | | | | |--- value: [40.00]\n",
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"| | | | | |--- Density > 1.36\n",
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"| | | | | | |--- value: [35.00]\n",
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"| | | |--- Density > 1.37\n",
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"| | | | |--- Density <= 1.39\n",
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"| | | | | |--- value: [30.00]\n",
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"| | | | |--- Density > 1.39\n",
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"| | | | | |--- Al2O3 <= 0.03\n",
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"| | | | | | |--- value: [22.50]\n",
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"| | | | | |--- Al2O3 > 0.03\n",
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"| | | | | | |--- value: [20.00]\n",
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"| | |--- Density > 1.57\n",
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"| | | |--- Density <= 1.93\n",
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"| | | | |--- Density <= 1.74\n",
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"| | | | | |--- value: [70.00]\n",
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"| | | | |--- Density > 1.74\n",
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"| | | | | |--- Al2O3 <= 0.15\n",
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"| | | | | | |--- value: [65.00]\n",
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"| | | | | |--- Al2O3 > 0.15\n",
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"| | | | | | |--- value: [50.00]\n",
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"| | | |--- Density > 1.93\n",
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"| | | | |--- Al2O3 <= 0.15\n",
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"| | | | | |--- Density <= 2.09\n",
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"| | | | | | |--- value: [50.00]\n",
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"| | | | | |--- Density > 2.09\n",
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"| | | | | | |--- value: [30.00]\n",
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"| | | | |--- Al2O3 > 0.15\n",
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"| | | | | |--- Density <= 1.95\n",
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"| | | | | | |--- value: [30.00]\n",
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"| | | | | |--- Density > 1.95\n",
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"| | | | | | |--- value: [22.50]\n",
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"\n"
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]
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}
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],
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"source": [
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"import pickle\n",
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"import pandas as pd\n",
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"from sklearn import tree\n",
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"\n",
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"model = pickle.load(open(\"data/temp_density_tree.model.sav\", \"rb\"))\n",
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"features = (\n",
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" pd.read_csv(\"data/density_train.csv\", sep=\";\", decimal=\",\")\n",
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" .drop([\"T\"], axis=1)\n",
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" .columns.values.tolist()\n",
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")\n",
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"\n",
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"rules = tree.export_text(model, feature_names=features)\n",
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"print(rules)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 398,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"27"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"[if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density > 1.374) and (Density > 1.391) and (Al2O3 > 0.025) -> 20.0,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density > 1.227) and (Density > 1.248) -> 22.5,\n",
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" if (Density <= 1.177) and (Density > 1.14) and (Density > 1.154) -> 60.0,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density <= 1.227) and (Density <= 1.199) -> 50.0,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density <= 1.227) and (Density > 1.199) -> 42.5,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) and (Density > 1.227) and (Density <= 1.248) -> 35.0,\n",
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" if (Density <= 1.177) and (Density > 1.14) and (Density <= 1.154) -> 65.0,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density <= 1.265) and (Density <= 1.238) -> 70.0,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density <= 1.265) and (Density > 1.238) -> 65.0,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density > 1.265) and (Density <= 1.291) -> 55.0,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) and (Density > 1.265) and (Density > 1.291) -> 50.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) and (Density <= 1.253) -> 70.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) and (Density > 1.253) and (Density <= 1.271) -> 65.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) and (Density > 1.253) and (Density > 1.271) -> 60.0,\n",
|
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" if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density <= 1.374) and (Density <= 1.332) -> 45.0,\n",
|
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" if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density <= 1.374) and (Density > 1.332) and (Density <= 1.357) -> 40.0,\n",
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" if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density <= 1.374) and (Density > 1.332) and (Density > 1.357) -> 35.0,\n",
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" if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density > 1.374) and (Density <= 1.391) -> 30.0,\n",
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" if (Density > 1.177) and (Density > 1.308) and (Density <= 1.565) and (Density > 1.374) and (Density > 1.391) and (Al2O3 <= 0.025) -> 22.5,\n",
|
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" if (Density <= 1.177) and (Density <= 1.14) -> 70.0,\n",
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" if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density <= 1.93) and (Density <= 1.738) -> 70.0,\n",
|
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" if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density <= 1.93) and (Density > 1.738) and (Al2O3 <= 0.15) -> 65.0,\n",
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" if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density <= 1.93) and (Density > 1.738) and (Al2O3 > 0.15) -> 50.0,\n",
|
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" if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density > 1.93) and (Al2O3 <= 0.15) and (Density <= 2.092) -> 50.0,\n",
|
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" if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density > 1.93) and (Al2O3 <= 0.15) and (Density > 2.092) -> 30.0,\n",
|
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" if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density > 1.93) and (Al2O3 > 0.15) and (Density <= 1.949) -> 30.0,\n",
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" if (Density > 1.177) and (Density > 1.308) and (Density > 1.565) and (Density > 1.93) and (Al2O3 > 0.15) and (Density > 1.949) -> 22.5]"
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]
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},
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"execution_count": 398,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from src.rules import get_rules\n",
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"\n",
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"\n",
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"rules = get_rules(model, features)\n",
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"display(len(rules))\n",
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"rules"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 399,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"27"
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]
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},
|
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"metadata": {},
|
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"[if (Density > 1.177) and (Density <= 1.565) and (Al2O3 > 0.025) -> 20.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 22.5,\n",
|
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" if (Density <= 1.177) and (Density > 1.14) -> 60.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 50.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 42.5,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 35.0,\n",
|
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" if (Density <= 1.177) and (Density > 1.14) -> 65.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 70.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 65.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 55.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 50.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) -> 70.0,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) -> 65.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) -> 60.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.565) -> 45.0,\n",
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" if (Density > 1.177) and (Density <= 1.565) -> 40.0,\n",
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" if (Density > 1.177) and (Density <= 1.565) -> 35.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.565) -> 30.0,\n",
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" if (Density > 1.177) and (Density <= 1.565) and (Al2O3 <= 0.025) -> 22.5,\n",
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" if (Density <= 1.177) -> 70.0,\n",
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" if (Density > 1.177) and (Density <= 1.93) -> 70.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.93) and (Al2O3 <= 0.15) -> 65.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.93) and (Al2O3 > 0.15) -> 50.0,\n",
|
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" if (Density > 1.177) and (Density <= 2.092) and (Al2O3 <= 0.15) -> 50.0,\n",
|
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" if (Density > 1.177) and (Al2O3 <= 0.15) -> 30.0,\n",
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" if (Density > 1.177) and (Density <= 1.949) and (Al2O3 > 0.15) -> 30.0,\n",
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" if (Density > 1.177) and (Al2O3 > 0.15) -> 22.5]"
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]
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},
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"execution_count": 399,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from src.rules import normalise_rules\n",
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"\n",
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"\n",
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"rules = normalise_rules(rules)\n",
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"display(len(rules))\n",
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"rules"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 400,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"15"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"[if (Density > 1.177) and (Density <= 1.565) and (Al2O3 > 0.025) -> 20.0,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 <= 0.025) -> 37.5,\n",
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" if (Density <= 1.177) and (Density > 1.14) -> 62.5,\n",
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 <= 0.025) and (Al2O3 > 0.025) -> 60.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.308) and (TiO2 > 0.025) -> 65.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.565) -> 37.5,\n",
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" if (Density > 1.177) and (Density <= 1.565) and (Al2O3 <= 0.025) -> 22.5,\n",
|
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" if (Density <= 1.177) -> 70.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.93) -> 70.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.93) and (Al2O3 <= 0.15) -> 65.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.93) and (Al2O3 > 0.15) -> 50.0,\n",
|
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" if (Density > 1.177) and (Density <= 2.092) and (Al2O3 <= 0.15) -> 50.0,\n",
|
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" if (Density > 1.177) and (Al2O3 <= 0.15) -> 30.0,\n",
|
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" if (Density > 1.177) and (Density <= 1.949) and (Al2O3 > 0.15) -> 30.0,\n",
|
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" if (Density > 1.177) and (Al2O3 > 0.15) -> 22.5]"
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]
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},
|
|
"execution_count": 400,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
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|
],
|
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"source": [
|
|
"from src.rules import delete_same_rules\n",
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"\n",
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"\n",
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"rules = delete_same_rules(rules)\n",
|
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"display(len(rules))\n",
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"rules"
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]
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},
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{
|
|
"cell_type": "code",
|
|
"execution_count": 401,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
|
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"<div>\n",
|
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>T</th>\n",
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" <th>Al2O3</th>\n",
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" <th>TiO2</th>\n",
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" <th>Density</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
|
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" <td>20</td>\n",
|
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" <td>0.0</td>\n",
|
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" <td>0.0</td>\n",
|
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" <td>1.274429</td>\n",
|
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" </tr>\n",
|
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" <tr>\n",
|
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" <th>1</th>\n",
|
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" <td>25</td>\n",
|
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" <td>0.0</td>\n",
|
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" <td>0.0</td>\n",
|
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" <td>1.261477</td>\n",
|
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" </tr>\n",
|
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" <tr>\n",
|
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" <th>2</th>\n",
|
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" <td>35</td>\n",
|
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" <td>0.0</td>\n",
|
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" <td>0.0</td>\n",
|
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" <td>1.234322</td>\n",
|
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" </tr>\n",
|
|
" </tbody>\n",
|
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"</table>\n",
|
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"</div>"
|
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],
|
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"text/plain": [
|
|
" T Al2O3 TiO2 Density\n",
|
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"0 20 0.0 0.0 1.274429\n",
|
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"1 25 0.0 0.0 1.261477\n",
|
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"2 35 0.0 0.0 1.234322"
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]
|
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},
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" <th>T</th>\n",
|
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" <th>Al2O3</th>\n",
|
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" <th>TiO2</th>\n",
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" <th>Density</th>\n",
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" T Al2O3 TiO2 Density\n",
|
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"0 30 0.00 0.0 1.248056\n",
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"1 55 0.00 0.0 1.176984\n",
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"2 25 0.05 0.0 1.382694"
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" <th></th>\n",
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" <th>count</th>\n",
|
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" <th>mean</th>\n",
|
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" <th>std</th>\n",
|
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" <th>min</th>\n",
|
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" <th>25%</th>\n",
|
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" <th>50%</th>\n",
|
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" <th>75%</th>\n",
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" <th>max</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <td>38.0</td>\n",
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" <td>45.526316</td>\n",
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" <td>16.513282</td>\n",
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" <td>70.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
|
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" <th>Al2O3</th>\n",
|
|
" <td>38.0</td>\n",
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" <td>0.078947</td>\n",
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" <td>0.126080</td>\n",
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" <tr>\n",
|
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" <th>TiO2</th>\n",
|
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" <td>38.0</td>\n",
|
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" <td>0.057895</td>\n",
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" <td>0.108133</td>\n",
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" <td>0.050000</td>\n",
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" <td>0.300000</td>\n",
|
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" </tr>\n",
|
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" <tr>\n",
|
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" <th>Density</th>\n",
|
|
" <td>38.0</td>\n",
|
|
" <td>1.535064</td>\n",
|
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" <td>0.344161</td>\n",
|
|
" <td>1.133485</td>\n",
|
|
" <td>1.251234</td>\n",
|
|
" <td>1.374444</td>\n",
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|
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|
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],
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"text/plain": [
|
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" count mean std min 25% 50% \\\n",
|
|
"T 38.0 45.526316 16.513282 20.000000 31.250000 45.000000 \n",
|
|
"Al2O3 38.0 0.078947 0.126080 0.000000 0.000000 0.000000 \n",
|
|
"TiO2 38.0 0.057895 0.108133 0.000000 0.000000 0.000000 \n",
|
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"Density 38.0 1.535064 0.344161 1.133485 1.251234 1.374444 \n",
|
|
"\n",
|
|
" 75% max \n",
|
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"T 60.000000 70.000000 \n",
|
|
"Al2O3 0.050000 0.300000 \n",
|
|
"TiO2 0.050000 0.300000 \n",
|
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"Density 1.867887 2.205183 "
|
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]
|
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},
|
|
"execution_count": 401,
|
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"metadata": {},
|
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"output_type": "execute_result"
|
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}
|
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],
|
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"source": [
|
|
"train = pd.read_csv(\"data/density_train.csv\", sep=\";\", decimal=\",\")\n",
|
|
"test = pd.read_csv(\"data/density_test.csv\", sep=\";\", decimal=\",\")\n",
|
|
"\n",
|
|
"train[\"Density\"] = pow(train[\"Density\"], 4)\n",
|
|
"test[\"Density\"] = pow(test[\"Density\"], 4)\n",
|
|
"\n",
|
|
"display(train.head(3))\n",
|
|
"display(test.head(3))\n",
|
|
"train.describe().transpose()"
|
|
]
|
|
},
|
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{
|
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"cell_type": "code",
|
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"execution_count": 402,
|
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"15"
|
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]
|
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
|
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"text/plain": [
|
|
"[if (Density = 1.371) and (Al2O3 = 0.3) -> 20.0,\n",
|
|
" if (Density = 1.242) and (TiO2 = 0.0) and (Al2O3 = 0.0) -> 37.5,\n",
|
|
" if (Density = 1.158) -> 62.5,\n",
|
|
" if (Density = 1.242) and (TiO2 = 0.0) and (Al2O3 = 0.3) -> 60.0,\n",
|
|
" if (Density = 1.242) and (TiO2 = 0.3) -> 65.0,\n",
|
|
" if (Density = 1.371) -> 37.5,\n",
|
|
" if (Density = 1.371) and (Al2O3 = 0.0) -> 22.5,\n",
|
|
" if (Density = 1.133) -> 70.0,\n",
|
|
" if (Density = 1.553) -> 70.0,\n",
|
|
" if (Density = 1.553) and (Al2O3 = 0.0) -> 65.0,\n",
|
|
" if (Density = 1.553) and (Al2O3 = 0.3) -> 50.0,\n",
|
|
" if (Density = 1.635) and (Al2O3 = 0.0) -> 50.0,\n",
|
|
" if (Density = 2.205) and (Al2O3 = 0.0) -> 30.0,\n",
|
|
" if (Density = 1.563) and (Al2O3 = 0.3) -> 30.0,\n",
|
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" if (Density = 2.205) and (Al2O3 = 0.3) -> 22.5]"
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]
|
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},
|
|
"execution_count": 402,
|
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"metadata": {},
|
|
"output_type": "execute_result"
|
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}
|
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],
|
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"source": [
|
|
"from src.rules import simplify_rules\n",
|
|
"\n",
|
|
"rules = simplify_rules(train, rules)\n",
|
|
"display(len(rules))\n",
|
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"rules"
|
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]
|
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},
|
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{
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"cell_type": "code",
|
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"execution_count": 403,
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"metadata": {},
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"outputs": [
|
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{
|
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"name": "stderr",
|
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"output_type": "stream",
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"text": [
|
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"/Users/user/Projects/python/fuzzy-rules-generator/.venv/lib/python3.12/site-packages/skfuzzy/control/fuzzyvariable.py:125: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
|
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" fig.show()\n"
|
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]
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},
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{
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"data": {
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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
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"image/png": 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Il+4pYYku74Y9c7T5bAqbZnN1rmk+Flx9IOxjbakJISzM4djD/HLqF/rV6EeZAmVUx3kuKW7ykIuDHdO7BHA4+h7f77yoOo4QxpX8QPuH3TdQm4nY2jjm126evrIf9sxWnUYIo0pMTSQ4PJjqhavzTuV3VMd5ISlu8lgdP08+aFCKGRvOcjb2vuo4QhjPptHw4CZ0+hZsbFWnUaNkPa2w2zIBbp5WnUYIo/nq0FfcfnSb0KBQbM3g+pbiRoHBLStQoqALg5dEkJouoyuEBbiwVbuZtvlYKGjazdW57uVgbamJsD6Qnqo6jRA5tvfGXv488ycDaw6khFsJ1XEyRYobBZzsbZnRJYBTNxKYu01uPhRmLikeVnwKpRppN9VaO3tn7WbqG8e04fBCmLEHKQ8ICQ+hrk9d3qj4huo4mSbFjSIBvgX4pEkZvt58jhPX4lXHESL71o/QCpyOc8BGPlIAbamJBp9pExneOKY6jRDZNu3gNBJSEhgXNA4bnflc3+aT1AL1e7kc5bxdGbI0guQ0GV0hzNDZ9XDkN2g9EQqYR3N1nmk8FApV1JagSEtWnUaILNtxdQd/n/ubz2t/TrH8xVTHyRIpbhRysLPhy64BXLj1gFmbzqmOI0TWJN6Flf2gXEuoYfqjJ/KcnQN0nge3z2otOEKYkfjkeMbsHkODYg14tdyrquNkmRQ3ilUq4saAZuWYt/0CR6LvqY4jROat/RzSkqD916DTqU5jmnyqaS04u76CqwdVpxEi0ybum0hSehJj649FZ4bXtxQ3JqBP4zJUK+bO4KURJKVK95QwAyfD4MQyaDMd3IqoTmPaGnwGRapr3VOpj1SnEeKFNl7eyNqotYwIHEFhl8Kq42SLFDcmwM7WhhldA7h67xHT1p9RHUeI53twC9YMgortoFoX1WlMn62d1j0VFw2bx6tOI8Rz3Xl0h/F7xtO8RHPalmqrOk62SXFjIsoWduWLVhX4MTyKfRfvqI4jxNMZDLB6oPbf7WZKd1RmFaoAzUbB3m/hUrjqNEI8lcFgIHRvKADBLwWbZXfUf0hxY0J6BZWidkkPhiyL4GFymuo4Qjzp2BI4vRrafQX5C6lOY15e+kRbmiLsY22pCiFMzJqoNWyK3kRIvRAKOhdUHSdHpLgxIbY2OqZ3CeD2/RQm/ROpOo4Qj0u4Dv98DlVfh8odVacxPza22tIUD29pq4cLYUJuJt5k4r6JtCnVhuYlm6uOk2NS3JiYkgXzMaJNRX7bG83Oc7dUxxFCYzBow77tnKHNNNVpzFfBMtBiHBz8AS5sUZ1GCEDrjhq9ezROtk6MCByhOo5RSHFjgt4KLEmDsl58sewY8Y9kbRphAg7/Auc3QYevwcVTdRrzVvt9KNVYW7LiUZzqNEKw/Pxydl3bxZj6Y3B3dFcdxyikuDFBNjY6przuz4OkNMavPqU6jrB29y5rSyzUeBvKt1KdxvzZ2GhLVSQlaOdVCIWuP7jO1ANTebXcqzQq3kh1HKOR4sZEFSvgzKj2lVl26CqbTsWqjiOslV4PK/qCswe0mqQ6jeUo4AutJ8HR3+HMP6rTCCulN+gJCQ/BzcGNz2t/rjqOUUlxY8K61CpOs4qFGfb3ce49TFEdR1ijA9/DpZ3QcTY4ualOY1lqvA3lWsHK/tpSFkLksT9P/8m+mH2MCxpHfof8quMYlRQ3Jkyn0zHp1WqkpusJWXlSdRxhbe5c0Eb11OkNpZuoTmN5dDrtHqb0FFg7RHUaYWUuJ1xm5uGZvFHhDV4q8pLqOEYnxY2JK+zmxLiOVVgVcZ01x26ojiOshT5dm4/F1QdajFWdxnK5+kDbGXDiLzi5XHUaYSXS9ekE7wrGy9mLz2p9pjpOrpDixgx0CChKm2o+BIcd59b9ZNVxhDXYMxuu7NeWDXDIpzqNZav6GlTqAKsHwYObqtMIK/DrqV+JuBVBaFAoLvYuquPkCiluzIBOp2N8x6rY6HSMWH4cg8GgOpKwZDcjYUso1OsLJSyvudrk6HTajM86G1g1UJtTSIhcciHuAt8c+YYelXtQ07um6ji5RnlxM2fOHPz8/HByciIwMJD9+/c/d/uZM2dSoUIFnJ2d8fX15bPPPiMpKSmP0qpTML8jE1+txsZTsSw/ck11HGGp0lO11as9SsHLo1SnsR75vKD9TDizBo4tVp1GWKhUfSojd42kuGtx+tXspzpOrlJa3CxevJhBgwYxevRoDh8+TEBAAK1ateLmzac3zS5atIhhw4YxevRoIiMj+eGHH1i8eDEjRljHXBGtqvjQuUYxRq88yY34R6rjCEu06yuIOQ6d54K9k+o01qVSe/DvBmu/gHj5AiOM74fjP3D67mkmNJiAo62j6ji5Smlx8+WXX9K7d2969epF5cqVmTdvHi4uLvz4449P3X737t0EBQXx5ptv4ufnR8uWLenevfsLW3ssyZj2VXBxsGXoX9I9JYzsRgRsnwINB0GxWqrTWKdXpoCDi7bUhVzfwohO3z3N/Ij5vF/tfap6VVUdJ9cpK25SUlI4dOgQzZv/d4EuGxsbmjdvzp49e576mvr163Po0KGMYubixYusXbuWNm3aPPM4ycnJJCQkPPYwZ+4u9kx5zZ8dZ2/x54ErquMIS5GWrHVHFaoEjb5QncZ6OXtAh2/gwmY4tFB1GmEhUtJTGLFrBGUKlKGPfx/VcfKEsuLm9u3bpKen4+3t/djz3t7exMTEPPU1b775JuPGjaNBgwbY29tTpkwZmjRp8txuqUmTJuHu7p7x8PX1Ner7UKFJhcK8UceX0NWnuHI3UXUcYQm2TYbb57TRUXYOqtNYt3ItoGYP2BAM9y6pTiMswLyIeUTFRzGhwQTsbe1Vx8kTym8ozopt27YxceJEvv32Ww4fPszff//NmjVrGD9+/DNfM3z4cOLj4zMeV65YRmvHyLaVKODiwOfLItDrpfla5MCVAxA+E5oMBR/Lb642Cy0ngLMnhPXVlsAQIpuO3TrGDyd+4OOAj6ngWUF1nDyjrLjx8vLC1taW2NjH102KjY3Fx8fnqa8ZNWoU77zzDh988AHVqlWjc+fOTJw4kUmTJqF/xgeAo6Mjbm5ujz0sgauTPdO6+LP34l1+3nNJdRxhrlISIawPFKkOQZY5mZdZcnKDTnPg8i7Y/53qNMJMJaUlMXLXSCp7Vua9qu+pjpOnlBU3Dg4O1KpVi82bN2c8p9fr2bx5M/Xq1XvqaxITE7GxeTyyra0tgFXeXFu/jBfv1vdjyrrTXLz1QHUcYY62jIe4K1p3lK2d6jTif5VqBHU/gk1j4PZ51WmEGfr6yNdcf3CdCQ0mYGdjXde30m6pQYMGsWDBAn7++WciIyP5+OOPefjwIb169QKgR48eDB8+PGP79u3bM3fuXP7880+ioqLYuHEjo0aNon379hlFjrX5onUFfNycGLI0gnTpnhJZcWkX7J0LzUKgkPU0V5uV5qPBrYjWuqZPV51GmJGDMQf57dRv9K/Zn9IFSquOk+eUlnLdunXj1q1bhISEEBMTQ/Xq1Vm3bl3GTcbR0dGPtdQEBwej0+kIDg7m2rVrFCpUiPbt2zNhwgRVb0E5Fwc7ZnQNoMu8PSzYeZE+jcuojiTMQfIDCPsEStSDlz5RnUY8i0M+6DQPfmoNu7+GBtJ1KF4sMTWR4PBgahSuwduV3lYdRwmdwcr6cxISEnB3dyc+Pt5i7r8BmLQ2kp/CL7GqXwMq+LiqjiNM3erPIGIxfLwLPK3vW53Z2TAK9s2DD7eDd2XVaYSJC90bysoLK/mr/V/4upn/COHsMKvRUuLZPmtRnpIFXRi89Cip6TK6QjzH+U1w8EdttW8pbMxD05Ha39Xyj7QlMoR4ht3Xd7P4zGIG1RpktYUNSHFjMZzsbZnRNYDIG/eZs1VuPhTP8CgOVvSD0k2g9vuq04jMsnfSbvqOPQk7Z6hOI0zU/ZT7hISH8FKRl+haoavqOEpJcWNB/IsXoG+TMszecp4T1+JVxxGmaN1wSHkAHWaDjVz+ZqVoDWg0BHZMg+tHVacRJmjK/ik8TH3IuPrjsNFZ9/Vt3e/eAn36cjnKe7syaMlRktNkdIX4H6fXQsQiaD0JClhvc7VZazgEClfSlspIS1adRpiQbVe2seLCCr6o8wVF8hdRHUc5KW4sjIOdDV92CyDq9kNmbjqnOo4wFYl3YdUAKN8aqr+lOo3ILjsH6Dwf7pyHrRNVpxEmIi4pjjG7x9C4eGM6le2kOo5JkOLGAlX0cWNg8/LM336Bw9H3VMcRpmDNYEhPgfazQKdTnUbkhHcVaDpcGxp+Zb/qNMIETNg3gVR9KqPrjUYn1zcgxY3F+qhRafyLF2DwkggepUj3lFU78Tec/BvazgDXpy9tIsxM/QFQtKbWPZUii+das/WX1rPu0jpGBo6kkEsh1XFMhhQ3FsrO1obpXQK4HveIqetPq44jVLkfq7XaVO4IVV9TnUYYi62dNnoq4RpsHqc6jVDk9qPbhO4NpUXJFrxS6hXVcUyKFDcWrGzh/HzeqgI/hV9iz4U7quOIvGYwwOqBoLOBtl9Kd5Sl8SoHzUbDvrkQtVN1GpHHDAYD4/Zoo6KCXwqW7qh/keLGwr0XVIq6pTz5fFkED5LTVMcReSniTzizVrvPJp+X6jQiNwT2gZJBsOITSL6vOo3IQ6surmLrla2E1AvB08lTdRyTI8WNhbOx0TH99QDuPkxhwppI1XFEXom/Bv8MBf9uUKmd6jQit9jYQMc58PAObAhWnUbkkZiHMUzeN5l2pdvRrEQz1XFMkhQ3VqBEQRdGtKnEH/uj2X72luo4IrcZDLDyU3BwgVemqE4jcptnKWg5Hg4t1JbWEBbNYDAwZvcYnO2cGVZ3mOo4JkuKGyvxVmAJGpbzYuiyY8Q/krVpLNqhn+DCFm0WYmcP1WlEXqj9HpRuqi2t8ShOdRqRi5adW0b49XDGBo3F3dFddRyTJcWNldDpdEx5zZ+HyWmMXXVSdRyRW+5GwfpgqNkTyjVXnUbkFZ0OOs7WltZYJ9/mLdXV+1eZfmA6r5V7jQbFGqiOY9KkuLEiRQs4M7pDFf4+fI0NJ2NUxxHGptfDik/BpSC0mqA6jchr7sW1bsiIP+D0GtVphJHpDXpGhY+igGMBPq/zueo4Jk+KGyvzWs1iNK9UmBHLj3P3YYrqOMKY9s+Hy7ug0xxwdFWdRqgQ0B3Kv6IttfFQpn+wJH+c/oODsQcZHzSefPb5VMcxeVLcWBmdTsfEV6uRpjcQHHYcg8GgOpIwhtvnYNMYqPsRlGqkOo1QRafThv7r02DNINVphJFExUfx1aGveLPim9QtUld1HLMgxY0VKuzqxPiOVVl7PIZVx26ojiNySp8OYR+DWzFoPkZ1GqGaq7e21MapMDjxl+o0IofS9ekEhwfjk8+HgbUGqo5jNqS4sVLtA4rS1r8IIStOcDMhSXUckRO7v4Zrh6DTXG34txBVX4MqnbWlN+7Hqk4jcmDhyYWcuH2C0KBQnO2cVccxG1LcWLHxHatiZ6Nj+N/SPWW2Yk/B1olQvx+UCFSdRpiSNjPAxg5W9dfmPhJm59y9c8w5OoeelXtSvXB11XHMihQ3VswznwOTXvVn8+mbLDt0VXUckVXpqbD8I/AsDU1GqE4jTE2+gtr9N2fXwdFFqtOILErVpzJy10hKuJagb42+quOYHSlurFyLyt68WrMY41ad4lrcI9VxRFbsmA6xJ7XVoe2dVKcRpqhiW20E1bphEC9fYMzJgmMLOHvvLBMaTsDR1lF1HLMjxY1gdPsq5HO0Y+iyY9I9ZS6uH4Gd06HREChaQ3UaYcpaTwaH/NocSHJ9m4WTd06y4NgCevv3pkrBKqrjmCUpbgTuzvZMed2fXedv89u+aNVxxIukJcPyj6FwZWg4RHUaYeqcC0DHb+DiVjj4o+o04gVS0lMI3hVMOY9yfFjtQ9VxzJYUNwKAxuUL8WZgCSatjST6TqLqOOJ5tk6EO+e17ig7B9VphDko2xxqvQsbRmlLdAiTNefoHC4lXCK0QSj2tvaq45gtKW5EhhFtKuGZz4EhSyPQ66X52iRd2a8N/W46AryluVpkQctQ7SbjFX21pTqEyTl68ygLTy6kb/W+lPcorzqOWZPiRmTI72jH9C4B7L90lx/D5dudyUlJhOV9oGhNqN9fdRphbhxdoeO3cDkc9s1TnUb8y6O0RwSHB1O1YFXerfKu6jhmT4ob8ZiXShekV5Af09af4cKtB6rjiP+1eSwkXNO6o2ztVKcR5qhUQwjso/0u3T6nOo34H7MOzyLmYQyhDUKxs5HrO6ekuBFP+KJVRYoVcGbwkgjS0qX52iRE7dC+bTcbDV7lVKcR5qzZaG2pjuV9ID1NdRoB7L+xn98jf2dAzQGUci+lOo5FkOJGPMHZwZbpXQM4djWO+Tsuqo4jku9r90mUbKB96xYiJxxctNa/64dh9yzVaazew9SHhOwOobZ3bd6q9JbqOBZDihvxVDVLePBR4zLM3HSWyBsJquNYtw3B8PAOdJwNNnLJCiPwravdt7V1kjYRpFBm+sHp3E26y7igcdjo5Po2FjmT4pkGNi9Haa/8DF4SQUqadE8pcW4THFoIrULBU5qrhRE1HQEFy2pLeKSlqE5jlcKvhbPs7DKG1B6Cr6uv6jgWRYob8UyOdrbM6BrA2dj7zN56XnUc6/PoHqzsB2Vehlq9VKcRlsbOUeueuhmpzXYt8lRCSgIhu0OoX7Q+Xcp3UR3H4khxI56rajF3Pn25LHO2nufY1TjVcazLP8Mg5SF0+AZ0OtVphCUqWh0afa6tU3btsOo0VmXK/ik8Sn3E2Ppj0cn1bXRS3IgX6tu0LJWKuDJ4SQRJqemq41iHyNVw7E94ZTK4F1edRliyhoPBpyqEfQypSarTWIUt0VtYeWElQ+sOxSefj+o4FkmKG/FC9rY2fNm1OpfvJPLVxrOq41i+h7dh9UCo0EZb0VmI3GRrD53mwd2LsHWC6jQW717SPcbuGUsT3yZ0KNNBdRyLJcWNyJTy3q4Malme73Ze5NDlu6rjWC6DAdYMAn0atJsp3VEib3hX1m4w3v0NRO9Tncaihe4NJd2Qzuh6o6U7KhdJcSMyrXfD0tTwLcDgJREkpsjkX7nixF9wagW0nQGu3qrTCGtSvz8Urw1hfbR7vYTRrYtax4bLGwgODMbL2Ut1HIsmxY3INFsbHdO7BBCTkMTUdWdUx7E892NgzWCo0hmqvqY6jbA2NrZa91TCDdg0VnUai3P70W1C94XSyq8VrUu1Vh3H4klxI7KkdKH8DG1dkYW7L7H7/G3VcSyHwQCrBoCtA7SZoTqNsFZeZaH5aNg/X1vyQxiFwWBgzO4x2OpsGRk4UnUcqyDFjciynvX8eKm0J58vO8b9pFTVcSzD0d/h7DpoPwvyFVSdRlizuh9pS32E9YUkmZ3cGFZcWMH2q9sZU28MHk4equNYBSluRJbZ2OiY9noAcYkpTFgTqTqO+Yu7AuuGQ8CbULGN6jTC2tnYQKc58OgubJBWhpyKeRjDlP1T6FCmA01LNFUdx2pIcSOyxdfThZFtK/PngStsPXNTdRzzZTDAyk/BIT+0nqQ6jRAaDz9oGQqHf4FzG1WnMVsGg4GQ8BBc7F0YWneo6jhWRYobkW3d6/rSqHwhhi47RnyidE9ly8Ef4OI2bVFM5wKq0wjxX7XehTLNtCVAHt1TncYsLT27lD039jCu/jjcHNxUx7EqUtyIbNPpdEx5rRqPUtMZs0pWFs6yuxdhwyht3aiyzVSnEeJxOp229EdKIvwjrQ5ZdeX+FaYfnM7r5V8nqFiQ6jhWR4obkSNF3J0Z26EKy49cY92JG6rjmA99unbDZr5C0HK86jRCPJ17MWgzFY4thshVqtOYDb1Bz6jwUXg6eTKk9hDVcaySFDcixzrXKEaLyt6MXH6COw+SVccxD3vnQvRu6PQtOLqqTiPEs/l3gwptYdVAbWkQ8UK/R/7OodhDjA8aTz77fKrjWCUpbkSO6XQ6Jnauht5gYOTyExgMBtWRTNuts7B5HLz0Cfg1UJ1GiOfT6aD9TDDotTXP5Pp+rqj4KGYdnsXbld6mjk8d1XGslhQ3wigKuToS2qka607GsDLiuuo4pis9TZvevoAvNAtRnUaIzMlfGNp9qXVNHV+mOo3JStOnEbwrmCL5itC/Zn/VcayaFDfCaNr6F6F9QFFCVpwkNiFJdRzTFD4Trh/Rprm3d1adRojM+8+yIGuHaEs0iCcsPLmQE3dOENogFGc7ub5VkuJGGNW4DlVwsLNh2F/HpHvq32JOwLbJEDQAfKW5WpihNtPBzhFW9ZfuqX85e+8sc47OoVeVXgQUClAdx+pJcSOMyiOfA5M6V2PrmVssPXhVdRzTkZYCy/uAVzloMlx1GiGyx8VTWyLk3AY48pvqNCYjNT2VkbtG4ufmxyfVP1EdRyDFjcgFzSt783qt4oxbfYqr9xJVxzENO6bBrUjoPE/75iuEuarwClR/S1syJC5adRqT8N3x7zh/7zwTG0zEwdZBdRyBFDcil4S0r4yrkx1fLDuGXm/lzdfXDsHOGdDoCygizdXCArSeBE7usOJT0OtVp1Hq5O2TLDi2gA8DPqRSwUqq44j/J8WNyBVuTvZMec2f3Rfu8Nu+y6rjqJOaBMs/Bp9q0HCQ6jRCGIeTO3T8BqK2a0uIWKnk9GRG7hpJBc8KfFDtA9VxxP+Q4kbkmkblC/FWYAkmrT3NpdsPVcdRY2so3IvSuqNs7VWnEcJ4yrwMtd+HjSFw54LqNErMOTKH6PvRTAiagL2NXN+mRIobkatGtKlEIVdHhiyNIN3auqei98Lu2dB0JBSW5mphgVqM0+bAWdFXW1LEihy9eZSFJxfyaY1PKetRVnUc8S9S3Ihclc/Rjmmv+3Mo+h4/7opSHSfvpDyEsI+heB2o3091GiFyh2N+6PitVsjv/VZ1mjyTmJrIyF0j8S/kT8/KPVXHEU8hxY3IdYGlC/JeUCmmbTjDudj7quPkjU1jtInOOs0FG1vVaYTIPX5BUK8vbB4Pt86oTpMnZh2exc3Em0xoMAFbub5NkhQ3Ik983qoCxT2cGbw0grR0Cx9dcXE77P8Omo8BL2muFlbg5WDwKKnN5ZSepjpNrtp3Yx+LTi9iYK2BlHQrqTqOeAYpbkSecLK3ZUaXAE5ci2fuNgu++TApQbv/wK8h1P1QdRoh8oa9s7akyI2jEP6V6jS55kHKA0LCQ6jrU5fuFburjiOeQ4obkWdqlPDg4yZl+HrLOU5dT1AdJ3dsGAmP7kHHOWAjl5ewIsVrQYPPYNsUuHFMdZpcMf3gdOKS4xgXNA4bnVzfpkz5386cOXPw8/PDycmJwMBA9u/f/9zt4+Li6Nu3L0WKFMHR0ZHy5cuzdu3aPEorcqp/s3KUKZSfQUuOkpJmYd1T5zbC4V+gZajWRC+EtWk8FApV0G6mT0tRncaodl7dyV/n/uLzOp9TLH8x1XHEC2S7uNm8eTPt2rWjTJkylClThnbt2rFp06Ys7WPx4sUMGjSI0aNHc/jwYQICAmjVqhU3b9586vYpKSm0aNGCS5cusWzZMs6cOcOCBQsoVkx+0cyFo50tM7oGcP7mA77efE51HONJvKvN1lq2OdR6V3UaIdSwc9Ruor91GnZMVZ3GaOKT4xmzewxBxYJ4rdxrquOITMhWcfPtt9/SunVrXF1dGTBgAAMGDMDNzY02bdowZ86cTO/nyy+/pHfv3vTq1YvKlSszb948XFxc+PHHH5+6/Y8//sjdu3cJCwsjKCgIPz8/GjduTECATGlvTqoUdad/s3LM3X6Bo1fiVMcxjn+GQtoj6PAN6HSq0wihThF/aDwMdn4JVw+pTmMUk/dP5lH6I8bWG4tOrm+zoDMYsr5uffHixRk2bBiffvrpY8/PmTOHiRMncu3atRfuIyUlBRcXF5YtW0anTp0ynu/ZsydxcXGsWLHiide0adMGT09PXFxcWLFiBYUKFeLNN99k6NCh2No+fThecnIyycnJGX9OSEjA19eX+Ph43NzcMvmOhbGlput5be5uHiansaZ/Q5zszXg45amVsOQd6DwfAt5QnUYI9dLT4Ifm2nxPH+3Qbjg2U5svb2bgtoFMbDCR9mXaq44jMskuOy+Ki4ujdevWTzzfsmVLhg4dmql93L59m/T0dLy9vR973tvbm9OnTz/1NRcvXmTLli289dZbrF27lvPnz/PJJ5+QmprK6NGjn/qaSZMmMXbs2ExlEnnH3taGGV0CaPvNLmZsOMPItpVVR8qeh7dh9WdQsR34d1OdJlsMBgNpaZY9fNec2draYmNuN6fb2mmjp+Y3gi2h0GqC6kTZcjfpLuP2juNl35dpV7qd6jgiC7JV3HTo0IHly5fz+eefP/b8ihUraNcu934B9Ho9hQsX5rvvvsPW1pZatWpx7do1pk2b9sziZvjw4Qwa9N8FC//TciPUK+ftypCW5Zn0z2laVvGhjp+n6khZYzDA6oFg0EO7r8yyOyotLY1bt26RjQZckYdcXFxwd3c3ry6RwhW1+W82hkDFtlCyvupEWWIwGBi/ZzwGg4FR9UaZ17kX2StuKleuzIQJE9i2bRv16tUDYO/evYSHhzN48GC+/vrrjG379+//1H14eXlha2tLbGzsY8/Hxsbi4+Pz1NcUKVIEe3v7x7qgKlWqRExMDCkpKTg4ODzxGkdHRxwdHbP8HkXeeL9BaTacjGXwkgjWDWyIi0O2fiXVOL4MIldBl5+19XXMjMFgIC4uDhsbGzw8POTD2wQZDAZSUlJISNCmTihQoIDaQFlVry+cXqONnuoTri3XYCbWRq1lU/QmZjSegZezl+o4Iouydc9NqVKlMrdznY6LFy8+8+eBgYHUrVuXb775BtBaZkqUKMGnn37KsGHDnth+xIgRLFq0iIsXL2Y0086aNYspU6Zw/fr1TGVKSEjA3d1d7rkxIZduP+SVWTvpUrs44zpWVR0ncxJuwLeB2uio159+A7ypS09PJzY2Fg8PD5ydzfeeCGvw4MEDEhIS8PHxMb8uqjsXYF4DqP4mtJ2hOk2m3Ey8SecVnQkqGsTUxpYz6suaZOtrclSUcRZAHDRoED179qR27drUrVuXmTNn8vDhQ3r16gVAjx49KFasGJMmTQLg448/Zvbs2QwYMIB+/fpx7tw5Jk6c+MzWIWEe/LzyMbxNRUJWnKRVFR+Cypr4tySDAVb1BzsnaDNddZps0+u1eYaedTO+MB3/aZVOT083v+KmYBloPhb++Vy7N61MU9WJnstgMDBm9xgcbB0Y+dJI1XFENintA+jWrRu3bt0iJCSEmJgYqlevzrp16zJuMo6Ojn7sQvb19WX9+vV89tln+Pv7U6xYMQYMGJDpm5iF6Xo7sCTrTsTwxbJj/DOwIW5O9qojPduRX+HcBui+GFzM7D6hp5DuKNNn9n9HdT6A06u0uaA+2Q1O7qoTPVPY+TB2XtvJ7Jdn4+5oujnF82W6W2rQoEGMHz+efPnyPXaD7tN8+eWXRgmXG6RbynRdvZdI65k7aVPNh6mvm+jcRXHR8G19qNwROmV+TidTlJqayq1btyhUqBD29iZcTArL+Lv6z7VTpaO2PIkJuv7gOq+ufJUWJVswPmi86jgiBzLdcnPkyBFSU1Mz/vtZzP4bhlCmuIcLo9pVYuhfx2ld1YeXK3q/+EV5Sa/XFsV0cofWE1WnEcK8FCihXTcr+0HF9lDhyelEVNIb9ISEh+Dq4MoXdb5QHUfkUKaLm61btz71v4Uwpq61fVl3Ioahfx1n42ceFHB5cgScMgd/gKgd8E6YSTerW7omTZpQvXp1Zs6cqTqKyKoa72gjDFf1B9+9JtWtu/jMYvbF7OO7Ft/h6uCqOo7IITO7M01YOp1Ox+TX/ElJ0zN65UnVcf7rzgVtvo7a75v8DZFCmCydDtp/DWnJsPbzF2+fR6ITovnq0Fd0q9CNekXrqY4jjCBbxc3Dhw8ZNWoU9evXp2zZspQuXfqxhxA54e3mxNgOVVhx9Dprj99QHQf06RD2iTaXTYtxqtMIYd7cikCbaXBiGZwMU52GdH06o8JHUdCpIINqPf9+UmE+sjVa6oMPPmD79u288847FClSRO6zEUbXsXpR1p2IITjsBHVLeeKVX+FEjHvmwJV90GutWU1CZg3u3bvHgAEDWLVqFcnJyTRu3Jivv/6acuXKYTAYKFy4MHPnzuX1118HoHr16sTGxnLjhlY079q1i2bNmnHv3j1cXFxUvhXrUq0LRK6ENYOgZBDkL6Qsym+Rv3Hk5hF+bPUjLvbyO2ApslXc/PPPP6xZs4agoCBj5xEC0LqnQjtXpeVXOxjx93Hmv1NLTRF987S2Nk69vmY3fXx2PEpJ58KtB3l+3DKF8uPskPX5dt59913OnTvHypUrcXNzY+jQobRp04ZTp05hb29Po0aN2LZtG6+//jr37t0jMjISZ2dnTp8+TcWKFdm+fTt16tSRwiav6XTQ9ittIszVA6Hbb0qWL7kYd5GvD3/N25XfprZP7Tw/vsg92SpuPDw88PQ0nRvBhGXyyu/IxM5V6fPbYcKOXqNzjeJ5GyA9DcL6gEdJbY0cK3Dh1gPafbMrz4+7ul8DqhbL2k3a/ylqwsPDqV9fKzx///13fH19CQsLo0uXLjRp0oT58+cDsGPHDmrUqIGPjw/btm2jYsWKbNu2jcaNGxv9/YhMyF9IW5NtSQ84tgQC8nbh2TR9GiN3jaRo/qL0ryETwVqabBU348ePJyQkhJ9//lm+8Yhc1bpqETpWL8roFSepV9oLH3envDv4rq/gRgS8vwnsrWN5gjKF8rO6XwMlx82qyMhI7OzsCAwMzHiuYMGCVKhQgcjISAAaN27MgAEDuHXrFtu3b6dJkyYZxc3777/P7t27+eILGfarTOWOWhfVP59DqYbgVjTPDv3jiR85dfcUv77yK052efi5IvJEpoubGjVqPNYtcP78eby9vfHz83tiUqnDhw8bL6GwemM7VGHPhTsM/esYC3vVyZvuqRvHYPsUaPAZFK+V+8czEc4OtlluQTFl1apVw9PTk+3bt7N9+3YmTJiAj48PU6ZM4cCBA6Smpma0+ghFXpkKUTu1+W/eWpYn3VNn7p5hbsRc3qv6Hv6F/HP9eCLvZbq46dSpUy7GEOLZCrg4MOU1f3otPMDiA1d4o26J3D1gWoq2inGhCtBYlvYwVZUqVSItLY19+/ZlFCh37tzhzJkzVK5cGdDu3WrYsCErVqzg5MmTNGjQABcXF5KTk5k/fz61a9cmX758Kt+GcPGEDl/Doq5w+Beo1TNXD5eansqIXSMo5V6KjwM+ztVjCXUyXdyMHj06N3MI8VxNKxamW21fxq8+RVBZL3w9c7E7dPsUuHUaem8FO4WjtMRzlStXjo4dO9K7d2/mz5+Pq6srw4YNo1ixYnTs2DFjuyZNmjB48GBq165N/vxa91ejRo34/fff+fxz05lrxaqVbwU13ob1I6B0E+0+t1wyN2IuF+Mu8ke7P3CwNaFJQoVRZWuemytXrnD16tWMP+/fv5+BAwfy3XffGS2YEP8W3K4SBVwc+GLZMfT6TC2JlnVXD8GuL6HxMCgizdWm7qeffqJWrVq0a9eOevXqYTAYWLt27WNd5Y0bNyY9PZ0mTZpkPNekSZMnnhOKtZoEzh7aEif/v2K9sR2/dZwfT/zIRwEfUdGzYq4cQ5iGTC+c+b8aNmzIhx9+yDvvvENMTAzly5enatWqnDt3jn79+hESEpIbWY1CFs40b+Hnb/PW9/sY26EKPev7GXfnqY9gfiNwyKfdRGybrfvtzYZFLMZoJazm7+riNvilo3YfTuBHRt11UloSXVd3xcXOhV/b/Iq9jQWfR5G9lpsTJ05Qt25dAJYsWUK1atXYvXs3v//+OwsXLjRmPiEeE1TWix71SjLpn0iibj807s63hMK9y9BpnsUXNkKYpNJNoM4HsHG0tuSJEc0+Mptr968xocEEKWysQLaKm9TUVBwdtXsRNm3aRIcOHQCoWLFixsyfQuSWYa9UxNvNiSFLI0g3VvfU5d3aTMQvB0Nhaa4WQpkW48DVB5b30ZY+MYJDsYf45dQv9KvRjzIFyhhln8K0Zau4qVKlCvPmzWPnzp1s3LiR1q21peuvX79OwYIFjRpQiH9zcbBjRpcADkff4/udF3O+w+QH2ugo37raTMRCCHUc8kGnuXD1AOyZnePdJaYmErwrmOqFq/NO5XeMEFCYg2wVN1OmTGH+/Pk0adKE7t27ExAQAMDKlSszuquEyE21/Tzp3bA0Mzac5Wzs/ZztbNNoeHBT+0C1yfoSAEIIIytZT/uisSUUbkbmaFdfHvqSO0l3CA0KxVaub6uR5RsLDAYDpUuXJjo6mrS0NDw8PDJ+9uGHH8qMxSLPDGpRni2nbzJ4SQR/f1Ife9ts1OoXtsKB76HNdCgozdVCmIyXg+HcBq176oNNYJv1+2T2XN/D4jOLGV53OCXccnl+LGFSsvyvgcFgoGzZssTExDxW2AD4+flRuHBho4UT4nmc7G2Z0SWAUzcSmLstGzcfJsXDik+hVCOo/b7xAwohss/eWbu5P+Y47Pwyyy+/n3KfkN0hBPoE8kbFN3IhoDBlWS5ubGxsKFeuHHfu3MmNPEJkSYBvAT5pUoavN5/jxLX4rL14/QitwOk4B2yy1UMrhMhNxWtBw0GwY6q2zlsWTDswjfsp9xkXNA4bnVzf1iZbf+OTJ0/m888/58SJE8bOI0SW9Xu5HOW8XRm8JILktEyOrjizDo78Bq0nQgFprhbCZDX6AgpV0rqn0pIz9ZLtV7az/PxyvqjzBUXz591inMJ0ZKu46dGjB/v37ycgIABnZ2c8PT0fewiRlxzsbPiyawAXbz9g1qZzL35B4l1Y1R/KtYQaMnpCCJNm5wCd58Ltc7Bt8gs3j0uKY8yeMTQs1pDOZTvnQUBhirI1U9nMmTONHEOInKlUxI2BzcszY8MZWlT2pkYJj2dvvPZz7Rtg+6/zZAViIUQO+VSDJkNh60So0AZ86zxz04n7J5KSnsKY+mPQyfVttbJV3PTsmburtgqRHR81Ks2GU7EMXhrB2v4NcbJ/yrDPk2FwYhm8+j24FcnzjEKIbAr6DE6vhbA+8NFOcHhyZO6GSxv4J+ofJjecTGEXGdxizbJ9l9WFCxcIDg6me/fu3Lx5E4B//vmHkydPGi2cEFlhZ2vDjC4BXLv3iGnrzzy5wYNbsGYQVGoP1V7P+4DCbKWnp6PPpcUcRSbZ2kHneRB3BbaMf+LHdx7dIXRvKM1LNKdNqTYKAgpTkq3iZvv27VSrVo19+/bx999/8+DBAwAiIiIYPXq0UQMKkRVlC+fn81YV+DE8in0X/2dEn8EAqwcCOmj7lXRHmbl169bRoEEDChQoQMGCBWnXrh0XLmjTAdSvX5+hQ4c+tv2tW7ewt7dnx44dACQnJzNkyBCKFStGvnz5CAwMZNu2bRnbL1y4kAIFCrBy5UoqV66Mo6Mj0dHRHDhwgBYtWuDl5YW7uzuNGzfm8OHDjx3r9OnTNGjQACcnJypXrsymTZvQ6XSEhYVlbHPlyhW6du1KgQIF8PT0pGPHjly6dClXzpVFKVQBmoXA3rlwaVfG0waDgXF7xqHT6Qh+KVi6o0T2ipthw4YRGhrKxo0bcXBwyHj+5ZdfZu/evUYLJ0R29AoqRZ2SngxZFsHD5DTtyWNL4PRqaPcV5C+kNqApS0mE60fz/pGSmKWYDx8+ZNCgQRw8eJDNmzdjY2ND586d0ev1vPXWW/z5558YDP9dd2zx4sUULVqUhg0bAvDpp5+yZ88e/vzzT44dO0aXLl1o3bo1587994b0xMREpkyZwvfff8/JkycpXLgw9+/fp2fPnuzatYu9e/dSrlw52rRpw/372izZ6enpdOrUCRcXF/bt28d3333HyJEjH8uemppKq1atcHV1ZefOnYSHh5M/f35at25NSkpKls6DVXrpYyjxEoR9oi2dAqy+uJotV7Yw6qVRFHSWJYAE6Az/+wmQSfnz5+f48eOUKlUKV1dXIiIiKF26NJcuXaJixYokJSXlRlajSEhIwN3dnfj4eNzc3FTHEbnk8p2HtJ65k1drFmNCs4Lw7Uva6KjXvlcdzWSkpqZy69YtChUqhL39/8/+ev0ofNc478N8uB2KVs/2y2/fvk2hQoU4fvw43t7eFC1alC1btmQUM/Xr16dRo0ZMnjyZ6OjojFnWixb97zDh5s2bU7duXSZOnMjChQvp1asXR48ezVhe5mn0ej0FChRg0aJFtGvXjnXr1tG+fXuuXLmCj48PoC0u3KJFC5YvX06nTp347bffCA0NJTIyMqOFISUlhQIFChAWFkbLli2fOM5T/66s2d2LMDcIAt4gtukwOq/sTKPijZjc8MWjqYR1yNYNxQUKFODGjRuUKlXqseePHDlCsWLFjBJMiJwoWTAfI9pWYlTYcQbfHIGnnTO0maY6lunzKq8VGiqOmwXnzp0jJCSEffv2cfv27Yz7YaKjo6latSotW7bk999/p2HDhkRFRbFnzx7mz58PwPHjx0lPT6d8+cePmZyc/NjCvw4ODvj7+z+2TWxsLMHBwWzbto2bN2+Snp5OYmIi0dHRAJw5cwZfX9+MwgZ4Yr29iIgIzp8/j6ur62PPJyUlZXStiRfwLA0txmFYO4TR6VdxsnVieN3hqlMJE5Kt4uaNN95g6NChLF26FJ1Oh16vJzw8nCFDhtCjRw9jZxQiW94OLEHyvp/wvLGDh6//QT7n5wwPFxoHlxy1oOSV9u3bU7JkSRYsWEDRokXR6/VUrVo1o1vnrbfeon///nzzzTcsWrSIatWqUa1aNQAePHiAra0thw4dwtb28RF1+fPnz/hvZ2fnJ+7d6NmzJ3fu3GHWrFmULFkSR0dH6tWrl6XupAcPHlCrVi1+//33J35WqJB0mWZa7ff5O3IR4XGnmdNwKu6O7qoTCROSreJm4sSJ9O3bF19fX9LT06lcuTLp6em8+eabBAcHGzujENmii4vmvQff8ZfhZfZEFmN6VdWJhDHcuXOHM2fOsGDBgoxup127dj22TceOHfnwww9Zt24dixYteuxLV40aNUhPT+fmzZsZr8+s8PBwvv32W9q00UbjXLlyhdu3b2f8vEKFCly5coXY2Fi8vb0BOHDgwGP7qFmzJosXL6Zw4cLSNZ4D1xJvMNX2Ia8mJNMoYiWUfkV1JGFCsnVDsYODAwsWLODChQusXr2a3377jdOnT/Prr78+8U1ICCX0eljRFxsXT3StJ7Ls0FU2nopVnUoYgYeHBwULFuS7777j/PnzbNmyhUGDBj22Tb58+ejUqROjRo0iMjKS7t27Z/ysfPnyvPXWW/To0YO///6bqKgo9u/fz6RJk1izZs1zj12uXDl+/fVXIiMj2bdvH2+99RbOzs4ZP2/RogVlypShZ8+eHDt2jPDw8IwvfP9pBXrrrbfw8vKiY8eO7Ny5k6ioKLZt20b//v25evWqsU6TRdMb9ISEh+DuVIDP6w6FiEXaHDhC/L8crSZWokQJXnnlFbp06UK5cuWMlUmInDuwAC7thI5z6PxSRZpVLMzwv49z76GMRjF3NjY2/Pnnnxw6dIiqVavy2WefMW3ak/dTvfXWW0RERNCwYUNKlHh8/bCffvqJHj16MHjwYCpUqECnTp04cODAE9v92w8//MC9e/eoWbMm77zzDv3796dw4f9OFmdra0tYWBgPHjygTp06fPDBBxmjpZycnABwcXFhx44dlChRgldffZVKlSrx/vvvk5SUJC05mfTH6T/YH7Of8UHjyV/rPSjfGlYN0JZWEYJsjpYC7SL/6quvMoZOlitXjoEDB/LBBx8YNaCxyWgpK3D7PMxrADXehrbTAbiZkETLmTtoUNaL2W/WVBzQNMgInLwRHh5OgwYNOH/+PGXKlMnWPuTv6r8uxV+iy6oudC7XmRGBI7Qn78fAnEAo8zJ0+UltQGESsnXPTUhICF9++SX9+vWjXr16AOzZs4fPPvuM6Ohoxo0bZ9SQQmSaPh3CPgZXH2gxNuPpwm5OjOtYlf5/HKF11eu085eVgkXuWL58Ofnz56dcuXKcP3+eAQMGEBQUlO3CRvxXuj6d4PBgCrsUZmDNgf/9gasPtJ0Bf72vzUBe9VVlGYVpyFZxM3fuXBYsWPBYP3aHDh3w9/enX79+UtwIdXZ/A1cPwHvrwCHfYz9q71+EdSduMCrsBIGlClLI1VFRSGHJ7t+/z9ChQ4mOjsbLy4vmzZszY8YM1bEsws+nfubYrWP8/MrPuNj/a22pqq9B5EpYMxj8GkB+WVvKmmXrnpvU1FRq1679xPO1atUiLS0tx6GEyJabkbB1AtT/VJvB9F90Oh3jO1bF1kbH8L+Pk80eWSGeq0ePHpw9e5akpCSuXr3KwoULH5s/R2TP+XvnmX1kNj2r9KRG4RpPbqDTQdsvQWcDqwZqS64Iq5Wt4uadd95h7ty5Tzz/3Xff8dZbb+U4lBBZlp4Kyz8Cj1LQ9NnTERTM78iEztXYFBnL34ev5WFAIUR2pepTGbFrBL6uvnxa49Nnb5jPC9rPgjNr4NjivAsoTE6mu6X+d6ilTqfj+++/Z8OGDbz0kvYNed++fURHR8skfkKNnTMg5gR8sBHsnZ67aasqPrxaoxhjVp2kftmCFHF3fu72Qgi1vj/+PWfvneX3Nr/jaPuC7uRK7cC/G6z9AvwagrvMmm+NMl3cHDly5LE/16pVCyBjunAvLy+8vLw4efKkEeMJkQnXj8KOadBwEBSrlamXjG5fhfALtxn613F+7lVHVhEWwkSdunOK7yK+44NqH1DFq0rmXvTKFIjaASv7wdt/aV1Wwqpkeyi4uZKh4BYmLRnmNwYbO+i9BewcXvya/7ftzE3e/ekAEztX483A589vYolkeLH5sNa/q5T0FLqt7oadjR2L2izC3jYL7/3cJvj9NWg3E2r3yrWMwjTlaBI/IZTbNgnunIfO87JU2AA0qVCY7nV9mbDmFFfuJuZSQCFEdn179FsuJVwiNCg0a4UNQLnmULMnbAiGe5dyJZ8wXdkqbpKSkpg2bRpt2rShdu3a1KxZ87GHEHniygEInwVNhoFP9haOGtm2MgVcHBiyNAK93qoaMYUwaRG3Ivjp5E/0rd6XCp4VsreTVhPA2RPC+mpLsgirka3i5v3332fq1KmULFmSdu3a0bFjx8ceQuS6lEQI6wNFa0DQwGzvJr+jHdO6+LMv6i4/77lktHgi9zRp0oSBAwc+8+c6nY6wsLBM72/btm3odDri4uJynE0Yx6O0RwTvCqZKwSq8W+Xd7O/I0RU6zYHLu2D/fKPlE6YvW5P4rV69mrVr1xIUFGTsPEJkzpbxEH8V3vgDbLP1a5yhfhkv3q3vx5R1p2lcvhClC+U3Ukihwo0bN/Dw8FAdQ+TA14e/5sbDG8x6eRZ2Njm7vinVCOp+BJvGQNnm4CXrIFqDbLXcFCtWDFdXV2NnESJzLu2CvXPh5VFQqLxRdjm0dUWKuDszeGkE6dI9ZdZ8fHxwdJTZp83VgZgD/Bb5G/1r9Ke0e2nj7LT5GHArpi3Nok83zj6FSctWcTNjxgyGDh3K5cuXjZ1HiOdLfgBhn0CJevDSx0bbrbODLdO7+BNxJY7vdlw02n5F7tDr9XzxxRd4enri4+PDmDFjMn72726p3bt3U716dZycnKhduzZhYWHodDqOHj362D4PHTpE7dq1cXFxoX79+pw5cyZv3ozIkJiayKjwUdTyrsXbld823o4dXKDTXLh2CHZ/bbz9CpOVrfa+2rVrk5SUROnSpXFxcXliaOLdu7LsvMglG0fBw9vQIwxsbI2661olPendqDRfbTzLyxULU8HH+lonH6U9Iio+Ks+PW8q9FM52mZ9M8eeff2bQoEHs27ePPXv28O677xIUFESLFi0e2y4hIYH27dvTpk0bFi1axOXLl595v87IkSOZMWMGhQoVok+fPrz33nuEh4fn5G2JLJpxcAZ3k+6yoOUCbHRGHsxbIhDq94OtE6FcK/CubNz9C5OSreKme/fuXLt2jYkTJ+Lt7S0ToIm8cX4zHPxRW/3X00jN1f/yWfPybIm8yaAlRwnrG4S9rXXNlhAVH0W31d3y/LiL2y2mcsHM/2Pj7+/P6NGjAShXrhyzZ89m8+bNTxQ3ixYtQqfTsWDBApycnKhcuTLXrl2jd+/eT+xzwoQJNG7cGIBhw4bRtm1bkpKScHJ6/ozXwjh2X9vNkrNLCA4MxtfVN3cO0mQEnF2vLdXSewtkdXi5MBvZKm52797Nnj17CAgIMHYeIZ7uUZw222jpplD7/Vw7jJO9LV92rU6nb8OZs/U8A5sb554ec1HKvRSL2+X9mjyl3EtlaXt/f//H/lykSBFu3rz5xHZnzpzB39//sQKlbt26L9xnkSJFALh58yYlSljfBI95LSElgZDdIdQrUo+uFbrm3oHsnbQ5sRY0gx3Toenw3DuWUCpbxU3FihV59OiRsbMI8WzrR0Dyfeg4O9enUq9W3J2+Tcsye8t5mlfypmox91w9nilxtnPOUguKKv/uCtfpdOhzOI/J/+7zP63ROd2nyJwp+6fwMPUh44LG5X5PQNEa0GiItmRLhdban4XFyVab++TJkxk8eDDbtm3jzp07JCQkPPYQwqhOr4Wjv0PrSeBePE8O+WnTslTwcWXQkqMkp8noCnNVoUIFjh8/TnJycsZzBw4cUJhI/NvW6K2svLCSoXWH4pPPJ28O2nCIds/N8j6QmpQ3xxR5KlvFTevWrdmzZw/NmjWjcOHCeHh44OHhQYECBWR+CWFciXdh1QAo3xqqv5Vnh3Wws2FG1wAu3U7kq43n8uy4wrjefPNN9Ho9H374IZGRkaxfv57p06cDyL2CJuBe0j3G7hlL4+KN6VgmDyeAtXOAzvPhzgXYNjHvjivyTLa6pbZu3WrsHEI83ZrBoE+F9rPyfGXfij5uDGxRjunrz9Cisje1Skrhbm7c3NxYtWoVH3/8MdWrV6datWqEhITw5ptvyo3CJmDCvgmkGdIYXW903heb3lW0e262hELFduD79HuxhHmSVcGF6TrxNyzrBa/9ANVeVxIhLV1Pl/l7iEtMZW3/hjg7GHf4uUrWutL077//Tq9evYiPj8fZOfPDz1WyxL+rdVHr+HzH50xtNJVXSr2iJkR6GvzYCh7dgz67tPlwhEXI9jjXnTt38vbbb1O/fn2uXbsGwK+//squXbuMFk5YsQc3tVabyp2g6mvKYtjZ2jC9SwDX4x4xZd1pZTlE9v3yyy/s2rWLqKgowsLCGDp0KF27djWbwsYS3X50m9B9obQs2ZLWfq3VBbG100ZPJVyDzWPV5RBGl63i5q+//qJVq1Y4Oztz+PDhjJv14uPjmThR+i9FDhkM2n02NrbQ9ss87476tzKF8jO0dUUW7r7E7gu3lWYRWRcTE8Pbb79NpUqV+Oyzz+jSpQvfffed6lhWy2AwMHbPWGx1tgS/FKz+3ievctBsNOybB1E71GYRRpOt4iY0NJR58+axYMGCx5pIg4KCOHz4sNHCCSsV8SecWQvtZkK+gqrTAPBufT8CS3ny+dJjPEhOUx1HZMEXX3zBpUuXSEpKIioqiq+++goXF+l+UGXlhZVsu7KNkHoheDiZyH1sgX2gZANY0VebckKYvWwVN2fOnKFRo0ZPPO/u7k5cXFxOMwlrFn8N/hkK/m9ApXaq02SwsdExvUsAcYkpTFgTqTqOEGYp5mEMU/ZPoX3p9jQr0Ux1nP+ysdHm0Hp4BzYEq04jjCBbxY2Pjw/nz59/4vldu3ZRunTuTIsvrIDBACs/BYd88Mpk1Wme4Ovpwoi2lfhjfzTbzjw5G665srIxBWbJEv6ODAYDo3ePxtnemaF1h6qO8yTPUtAqFA4thHObVKcROZStoeC9e/dmwIAB/Pjjj+h0Oq5fv86ePXsYMmQIo0aNMnZGYS0OLYQLW+Ctv8DZRJqr/+XNuiVYdyKGYX8dZ/3ARri7mO/IFVtbW3Q6Hffv38fV1VX9vQ/iCQaDgfT0dBISEtDpdNjZZesj2yQsPbuU3dd3M7f5XNwdTXTW71q9IHKVttTLJ7tN9nNIvFi2hoIbDAYmTpzIpEmTSExMBMDR0ZEhQ4Ywfvx4o4c0JhkKbqLuRsHcIPDvos1pY8JuxD+i5Vc7aFHJmy+7VVcdJ0eSk5O5e/euRbQMWDIHBwcKFChgtsXNlftXeG3la7Qt3ZbR9UarjvN88Vfh2/pQ4RV4db7qNCKbcjTPTUpKCufPn+fBgwdUrlyZ/PnzGzNbrpDixgTp9fBze4iPho93g6Or6kQv9NehqwxeGsH8d2rRqkoeTRmfS/R6PenpssSEqbKxscHGxsZsW9b0Bj3vr3+fGw9v8FeHv8hnn091pBc7+geE9YE3FkHFtqrTiGzI0teA9957L1Pb/fjjj1kKMWfOHKZNm0ZMTAwBAQF88803z1y593/9+eefdO/enY4dOxIWFpalYwoTsn8+XN4FPVebRWED8GrNYvxzIoaRy49Tx88Tz3wOqiNl23/+8RQiNyyKXMTB2IP80PIH8yhsAALegMiV2pQUvi+ZzKhNkXlZ+kRbuHAhW7duJS4ujnv37j3zkRWLFy9m0KBBjB49msOHDxMQEECrVq24efP5N2xeunSJIUOG0LBhwywdT5iY2+dg0xhtKGYp8/m71Ol0THy1Kml6A8Fhx6VbR4iniIqPYubhmbxV6S3qFjGj5Q10Om0qCn06rBmkOo3Ihix1S/Xt25c//viDkiVL0qtXL95++208PT1zFCAwMJA6deowe/ZsQGsi9/X1pV+/fgwbNuypr0lPT6dRo0a899577Ny5k7i4uGe23CQnJz+2InBCQgK+vr7SLWUK0tPgp9ba4phmOvX56mPX+XTREb7uXoMOAUVVxxHCZKTp0+i5rifxyfEsbb8UZzsznBH6P0vAvP6j0pnSRdZlqeVmzpw53Lhxgy+++IJVq1bh6+tL165dWb9+fba+uaakpHDo0CGaN2/+30A2NjRv3pw9e/Y883Xjxo2jcOHCvP/++y88xqRJk3B3d894+Pr6ZjmnyCW7v4Zrh7Tpz82wsAFo51+Utv5FCFlxgpsJSarjCGEyFp5cyInbJwgNCjXPwgag6qtQpbO2FMz9WNVpRBZkuaPd0dGR7t27s3HjRk6dOkWVKlX45JNP8PPz48GDB1na1+3bt0lPT8fb2/ux5729vYmJiXnqa3bt2sUPP/zAggULMnWM4cOHEx8fn/G4cuVKljKKXBJ7ErZNgvr9zX413vEdq2JnY8Pwv6V7SgiAs/fO8u3Rb+lZpSfVC1dXHSdn2swAG3tY1V+bi0uYhRzdRfifO/j/MxdDbrt//z7vvPMOCxYswMvLK1OvcXR0xM3N7bGHUCw9FZb3Ac8y0HSE6jQ55pnPgUmvVmPz6ZssO3RVdRwhlErVpxK8K5iSbiXpW72v6jg5l6+gNj3F2XVwdJHqNCKTslzcJCcn88cff9CiRQvKly/P8ePHmT17NtHR0VkeCu7l5YWtrS2xsY8398XGxuLj8+Tw2gsXLnDp0iXat2+PnZ0ddnZ2/PLLL6xcuRI7OzsuXLiQ1bcjVNgxHW6egs5zwc5RdRqjaFHZm9dqFmfcqlNci3ukOo4Qyiw4toCz984S2iAUR1vLuL6p2AYC3oR1w7R5cITJy1Jx88knn1CkSBEmT55Mu3btuHLlCkuXLqVNmzbZGkrq4OBArVq12Lx5c8Zzer2ezZs3U69evSe2r1ixIsePH+fo0aMZjw4dOtC0aVOOHj0q99OYg+tHYMc0aDgEitZQncaoQtpXJp+jHUOXHZPuKWGVTt45yXfHvqO3f2+qFKyiOo5xtZ4EDvm1xTXl+jZ5WRotZWNjQ4kSJahRo8ZzJ5T6+++/Mx1g8eLF9OzZk/nz51O3bl1mzpzJkiVLOH36NN7e3vTo0YNixYoxadKkp77+3Xfffe5oqX+TSfwUSk2C75qArT303qL9v4XZcfYWPX7cz/hOVXnnpZKq4wiRZ5LTk3lj9RvY29jze5vfsbfA65vzm+C316DtDKjzgeo04jmyNIlfjx49jD5LZrdu3bh16xYhISHExMRQvXp11q1bl3GTcXR0tEwwZim2TYS7F+DD7RZZ2AA0Kl+INwNLMGltJI3LFaJEQfMcBSZEVs05OodLCZdY3G6xZRY2AGWba+tPbQiBMi+DpywUbapytPyCOZKWG0Wi98GPraD5aGjwmeo0uepBchqvzNpBETdn/vzwJWxszHPafCEy6+jNo/Rc15N+NfrxQTULb9FIvg9z64NbcXh3DciXb5Mkfysi96U81NZpKV5bG/pt4fI72jHt9QD2X7rLj+FRquMIkasepT0iODyYqgWr8m6Vd1XHyX2OrtBpLkTvhn1zVacRzyDFjch9m8ZCwg3oNA9sbFWnyRMvlS7Ie0GlmLb+DOdvZm3+JyHMyazDs4h5GENog1DsbMxz1fIs82sAgR/D5nFw66zqNOIppLgRuStqh7YwZvPR4FVWdZo89UXrChQr4MzgpRGkpetVxxHC6Pbf2M/vkb8zoOYASrmXUh0nbzULAffiWqt0eprqNOJfpLgRuScpAcL6QskGUPcj1WnynJO9LdO7BnD8ahzzd1xUHUcIo3qY+pBR4aOo5V2Ltyq9pTpO3nNw0Vqjrx+B3bNUpxH/IsWNyD0bguHRXeg0x2pvuqtZwoOPGpdh5qazRN5IUB1HCKOZdmAa95LvMT5oPDY667y+8a0DQQNg6ySIOaE6jfgfVvobKXLduU1w+GdoOR48/FSnUWpg83KU9srP4CURpKRJ95Qwf7uu7eKvc38xpPYQfF2tfPLUJsPBq5zWPZWWojqN+H9S3Ajje3QPVn6qzQNRq5fqNMo52tkyo2sAZ2PvM3vredVxhMiR+OR4RoePpn7R+nQp30V1HPXsHLXRUzcjtdnXhUmQ4kYY3z/DICUROswGI0/6aK6qFnPn05fLMmfreY5djVMdR4hsm7J/Co/SHjG2/lijT+pqtopWh0afw84ZcO2w6jQCKW6EsUWuhmN/witTwL2Y6jQmpW/TslQq4sqgJREkpaarjiNElm2O3syqi6sYWncoPvmeXNzYqjUcDD5VYXkfbakZoZQUN8J4Ht6G1QOhQhsIeEN1GpNjb2vDl12rE30nka82ytwYwrzcTbrLuD3jaOLbhA5lOqiOY3ps7aHzfLgXBVsnqE5j9aS4EcZhMMCaQaBPh3YzpTvqGcp7uzKoZXm+23mRQ5fvqo4jRKYYDAZC94aSbkhndL3R0h31LIUrQdORsPsbiN6rOo1Vk+JGGMeJv+DUCm21XFdv1WlMWu+GpanhW4DBSyJITJHJv4TpW3dpHRsvbyT4pWC8nL1UxzFt9ftB8ToQ9rG29IxQQoobkXP3Y2DtEKjSGaq+qjqNybO10TG9SwAxCUlM+ee06jhCPNetxFuE7g2llV8rWvu1Vh3H9NnYaqOnEm7ApjGq01gtKW5EzhgMsGoA2NhDmxmq05iN0oXyM7R1RX7ec5nd52+rjiPEUxkMBsbuGYu9jT0jA0eqjmM+vMpC8zGw/zu4uF11GqskxY3ImaOL4Ow6aD8L8hVUncas9Kznx0ulPfl82THuJ6WqjiPEE8LOh7H96nZG1xuNh5OH6jjmpe6H4NcQVvTVlqIReUqKG5F98Vdh3TAI6A4V26hOY3ZsbHRMez2AuMQUJqyJVB1HiMfceHCDqQem0qFMB5qWaKo6jvmxsYGOc7RJTTdIq1dek+JGZI/BoH0jccgPrSerTmO2fD1dCG5XmT8PXGHr6Zuq4wgBaN1RIbtDcLF3YWjdoarjmC+PktBqAhz+Bc5uUJ3GqkhxI7Ln4A9wcRt0nA3OBVSnMWtv1PGlcflCDP3rGHGJsjaNUG/JmSXsvbGX8fXH4+bgpjqOeavZE8o2h5X9IFGmf8grUtyIrLt7ETaEaOtGlW2mOo3Z0+l0THnNn6TUdMasPKk6jrByVxKuMOPQDLqU70L9YvVVxzF/Oh10+AbSHsE/0gqWV6S4EVmj10NYX8jnpa34LYzCx92JMR2qEHb0OutO3FAdR1ipdH06weHBeDp5Mrj2YNVxLIdbUXhlKhxfApGrVKexClLciKzZNxeid0Onb8HRVXUai9K5RjFaVvZm5PIT3HmQrDqOsEK/Rf7G4ZuHGR80nnz2+VTHsSz+3aBiO1g1UFuqRuQqKW5E5t06C5vGwkufgF8D1Wksjk6nY0LnaugNBkYuP4HBYFAdSViRi3EX+frw17xd6W3q+NRRHcfy6HTQ7isw6GH1Z9qgDJFrpLgRmZOeBmF9oIAvNAtRncZiFXJ1ZELnaqw7GcPKiOuq4wgrkaZPY+SukRTNX5QBNQeojmO58hfWCpzIldqSNSLXSHEjMid8Jlw/Ap3mgb2z6jQWrU21IrQPKErIipPEJiSpjiOswE8nfuLU3VOENgjFyc5JdRzLVqUTVH0N1gzWlmgQuUKKG/FiMcdh22QIGgC+0lydF8Z1qIKDnQ3D/jom3VMiV525e4ZvI76lV5VeBBQKUB3HOrSZDnaO2tI1cn3nCiluxPOlpcDyj8GrHDQZrjqN1fDI58DkV6ux9cwtlh68qjqOsFCp6amM3DUSPzc/Pqn+ieo41sPFE9p/DefWw5HfVKexSFLciOfbMRVuRULnedo3DZFnmlXypkut4oxbfYqr9xJVxxEWaN6xeVyIu8DEBhNxsHVQHce6VGgN1d+GdcMhLlp1GosjxY14tmuHYOeX0OgLKCLN1SqMal8ZNyc7vlh2DL1emq+F8Zy4fYIfjv/AhwEfUqlgJdVxrFPrieDkDis+1eYQE0YjxY14utQkrTvKpxo0HKQ6jdVyc7Jn6usB7L5wh9/2XVYdR1iI5PRkRu4aSQXPCnxQ7QPVcayXk7u2hE3Udm1JG2E0UtyIp9saCveitO4oW3vVaaxag3JevP1SCSatPc2l2w9VxxEWYPaR2Vy5f4UJQROwt5HrW6kyTaH2+7AxBO5cUJ3GYkhxI550eQ/sng1NR0Jhaa42BcNfqUQhV0eGLI0gXbqnRA4cjj3Mzyd/5tMan1LWo6zqOAKgxThtDpwVfUGfrjqNRZDiRjwu5SGEfQzF60D9fqrTiP+Xz9GO6V0COBR9jx93RamOI8xUYmoiweHB+Bfyp2flnqrjiP9wzA+d5kL0Xtj7reo0FkGKG/G4jaPhfozWHWVjqzqN+B91S3nyflAppm04w7nY+6rjCDP01aGvuJV4iwkNJmAr17dpKVkf6vWFzePh1hnVacyeFDfivy5ugwMLoMVYKFhGdRrxFENaVcDXw5khSyNIS5fRFSLz9t7Yy59n/mRgrYGUdCupOo54mpeDwaMkLO+jLXkjsk2KG6FJStCGI/o1hDq9VacRz+Bkb8uMrtU5fi2eedvl5kOROQ9SHhASHkJdn7p0r9hddRzxLPbO2hI3N45C+Feq05g1KW6EZv0IeHQPOs4BG/m1MGXVfQvwcZMyzNp8jlPXE1THEWZg2sFpxCfHMy5oHDY6ub5NWvFa0GAQbJuiLX0jskV+ywWc3QBHfoVWE7QmUWHy+jcrR5lC+Rm05CgpadI9JZ5tx9Ud/H3ubz6v8znF8hdTHUdkRuOhUKiC1j2VlqI6jVmS4sbaJd6Flf2gbHOoKaMnzIWjnS0zugZw/uYDvt58TnUcYaLik+MZs3sMQcWCeK3ca6rjiMyyc9AGddw6A9unqE5jlqS4sXb/DIW0R9DhG9DpVKcRWVClqDsDmpVj7vYLHL0SpzqOMEGT9k8iKT2JsfXGopPr27z4VNNacHZ9BVcPqU5jdqS4sWanVsLxJfDKVHArqjqNyIaPm5ShSlE3Bi85SlKqTP4l/mvT5U2subiG4XWH453PW3UckR0NPtPW9QvrA6mPVKcxK1LcWKsHt2D1Z1CxHfh3U51GZJOdrQ0zugRw5d4jZmyQuTGE5s6jO4zfO56XfV+mXel2quOI7LK107qn7l2GLaGq05gVKW6skcEAaz4DDNDuK+mOMnPlvF0Z0rI83++KYn/UXdVxhGIGg4HQvaEYDAZG1Rsl3VHmrlAFaDYK9syBy7tVpzEbUtxYo+NLIXIVtP1SW89EmL33G5SmVgkPhiyN4GGyTP5lzdZGrWVT9CaCXwrGy9lLdRxhDC99Ar6B2tI4yQ9UpzELUtxYm4QbsHYIVH0dqnRSnUYYia2NjuldArh1P5nJ/5xWHUcocjPxJhP2TeCVUq/Q0q+l6jjCWGxsodO38OAmbBqtOo1ZkOLGmhgM2rBvOydoM011GmFkfl75GN6mIr/uvcyuc7dVxxF5zGAwMGb3GBxtHRkZOFJ1HGFsBctoq4cf+B4ubFWdxuRJcWNNjvwK5zdC+6/BxVN1GpEL3g4sSf0yBfliWQQJSamq44g8FHY+jJ3XdjKm3hjcHd1VxxG5ofb7UKqRtlROUrzqNCZNihtrERcN60ZA9behQmvVaUQusbHRMa1LAAlJaYSuPqU6jsgj1x9cZ8qBKXQq24nGvo1VxxG5xcZGWyInKV77PBfPJMWNNdDrYUVfcHKH1hNVpxG5rFgBZ0a1q8SSg1fZHBmrOo7IZXqDnpDwEFwdXPmizheq44jcVqCE9jl+9Dc4s051GpMlxY01OPA9RO2AjrO1AkdYvK61fWlaoRDD/j7OvYeyNo0lW3xmMfti9jGu/jhcHVxVxxF5ocY7UK4lrOqvLaEjniDFjaW7c0G7u77OB1Cmqeo0Io/odDomv+ZPSpqe0StPqo4jckl0QjRfHfqKbhW6Ua9oPdVxRF7R6bR7J9OSYe3nqtOYJCluLJk+XZsXIX9haD5WdRqRx7zdnBjXsQorI66z9vgN1XGEkaXr0wkOD6agU0EG1RqkOo7Ia25FoM10OLEMToapTmNypLixZHvmwJX90GkuOOZXnUYo0CGgKK2r+BAcdoJb95NVxxFG9OupXzl68yihDUJxsXdRHUeoUO11qNRBW0rnwU3VaUyKFDeW6uZpbS2Sen2hZH3VaYQiOp2O0M5V0QEjlx/HYDCojiSM4ELcBb458g3vVH6HWt61VMcRquh02kzzOhutwJHrO4MUN5YoPVVbRdajJLwcrDqNUMwrvyMTOldlw6lYwo5eUx1H5FCaPo2Ru0ZSzLUY/Wr0Ux1HqJa/kLZG4OnVcGyJ6jQmQ4obS7TrK7gRAZ3mgb2z6jTCBLSuWoRO1YsSsuIkMfFJquOIHPjh+A9E3o1kQtAEnOycVMcRpqByB6jWVbu5OOG66jQmQYobS3PjGGyfAg0GQXFprhb/NbZDVZztbRn61zHpnjJTp++eZl7EPN6v+j7VClVTHUeYkjZTtS+zK/tJ9xRS3FiWtGRY3gcKVYTGQ1WnESbG3cWeKa/5s/3sLf48cEV1HJFFKekpjNw1ktIFStMnoI/qOMLUOHtAh2/g/CY4/LPqNMpJcWNJtk+B22eh8zywc1CdRpigphUL0622L6GrT3HlbqLqOCIL5kXM42LcRSY0mICDrVzf4inKt9Qm+Fs/Eu5dVp1GKSluLMXVg9q9Nk2Ggo80V4tnC25XiQIuDny+LAK9XpqvzcGxW8f44cQPfBTwERU9K6qOI0xZq4laK86KvtrSO1ZKihtLkPpI644qUh2CPlOdRpg4Vyd7pr7uz96Ld/l5zyXVccQLJKUlMXLXSCp5VuKDah+ojiNMnZObtrjmpZ1wYIHqNMpIcWMJtoRqq353nge2dqrTCDMQVNaLHvVKMmXdaS7eeqA6jniOb458w/UH15nQYAJ2NnJ9i0wo3RjqfggbR8Pt86rTKCHFjbm7vFubibjZKChUQXUaYUaGvVIRbzcnhiyNIF26p0zSodhD/HrqV/rX7E+ZAmVUxxHmpPkYbYmGsI+1pXisjEkUN3PmzMHPzw8nJycCAwPZv3//M7ddsGABDRs2xMPDAw8PD5o3b/7c7S1a8gPtF7fES/DSJ6rTCDPj4mDHjC4BHLkSx4KdF1XHEf+SmJpI8K5gqheuztuV3lYdR5gbh3za0jtXD8Dub1SnyXPKi5vFixczaNAgRo8ezeHDhwkICKBVq1bcvPn0dTK2bdtG9+7d2bp1K3v27MHX15eWLVty7ZoVzry6MURbT6TTt2BjqzqNMEO1/Tzp3bA0X244y5mY+6rjiP/x5aEvuZN0h9CgUGzl+hbZUeIlqP8pbJ0ANyNVp8lTOoPi2bwCAwOpU6cOs2fPBkCv1+Pr60u/fv0YNmzYC1+fnp6Oh4cHs2fPpkePHi/cPiEhAXd3d+Lj43Fzc8txfmUubIFfO2urwtbtrTqNMGNJqem0+2YXTvY2LP8kCHtb5d95rN7u67v5aONHjAgcQfeK3VXHEeYsNQm+awx2jvDBZrC1V50oTyj9FEtJSeHQoUM0b9484zkbGxuaN2/Onj17MrWPxMREUlNT8fT0fOrPk5OTSUhIeOxh9pLiYcWnUKox1H5fdRph5pzsbZnRJYDIG/eZs9U6bz40JfdT7hMSHkJgkUC6VeimOo4wd/ZOWvdUzAnY+aXqNHlGaXFz+/Zt0tPT8fb2fux5b29vYmJiMrWPoUOHUrRo0ccKpP81adIk3N3dMx6+vr45zq3cuhGQlKAN97ORb9ki5wJ8C/BJkzLM3nKeE9fiVcexalMPTOVB6gPG1x+PjU6ub2EExWpCw8GwYypcP6o6TZ4w6ytn8uTJ/Pnnnyxfvhwnp6cvIDd8+HDi4+MzHleumPm082fWwdHfoPUkKGABhZowGf1eLkc5b1cGLTlKcpr1ja4wBduvbCfsfBhD6wylSP4iquMIS9LocyhcSRuEkpasOk2uU1rceHl5YWtrS2xs7GPPx8bG4uPj89zXTp8+ncmTJ7Nhwwb8/f2fuZ2joyNubm6PPcxW4l1Y1R/KtYIaMnpCGJeDnQ1fdg0g6vZDZm46pzqO1YlLimPMnjE0LNaQTmU7qY4jLI2dA3SaB7fPwbZJqtPkOqXFjYODA7Vq1WLz5s0Zz+n1ejZv3ky9evWe+bqpU6cyfvx41q1bR+3atfMiqmlYO0SruDt8DTqd6jTCAlUq4sbA5uWZv/0Ch6PvqY5jVSbum0hKegpj6o9BJ9e3yA0+VaHJMAifBVcOqE6Tq5R3Sw0aNIgFCxbw888/ExkZyccff8zDhw/p1asXAD169GD48OEZ20+ZMoVRo0bx448/4ufnR0xMDDExMTx4YOGzrJ5cDif+grYzwPX5rVpC5MRHjUpTrXgBBi+J4FGKdE/lhfWX1vPPpX8YETiCwi6FVccRlixoIBStAWF9IMVyF89VXtx069aN6dOnExISQvXq1Tl69Cjr1q3LuMk4OjqaGzduZGw/d+5cUlJSeP311ylSpEjGY/r06areQu57cBNWD4JKHaDqa6rTCAtnZ2vDjC4BXI97xNT1p1XHsXi3H90mdG8oLUq2oE2pNqrjCEtna6d1T8VfhS3jVafJNcrnuclrZjfPjcEAi9+G6L3Qdx/k81KdSFiJ73deJHRNJH/0fol6ZQqqjmORDAYDA7cO5OitoyzvuBxPp6dPaSGE0e2ZA+tHwrurwa+B6jRGp7zlRrzAscVwejW0+0oKG5GnegWVoq6fJ58vi+BBcprqOBZp9cXVbLmyhVEvjZLCRuStwI+hRD0I+0RbysfCSHFjyuKvwdovoFpXqNxBdRphZWxtdEzr4s+dBylMXGtdU7fnhZiHMUzaN4m2pdvSvOTT5+kSItfY2ECnOfDwNmwcpTqN0UlxY6oMBljZDxxcoM1U1WmElSpZMB8j2lZi0b5otp+9pTqOxTAYDIzZPQYnOyeG1x3+4hcIkRs8S0PLcXDwRzi/+cXbmxEpbkzV4Z/hwmbo8A04e6hOI6zY24ElaFDWi6HLjhH/KFV1HIvw17m/CL8ezpj6Y3B3dFcdR1iz2u9D6abal+lHcarTGI0UN6bo3mXtRq8a70C5FqrTCCun0+mY8ro/D5PTGLfqlOo4Zu/q/atMOzCNV8u9SqPijVTHEdZOp4OOsyH5PqyznFZEKW5MjV4PK/pqrTWtJqpOIwQAxQo4M6p9Zf46fJWNp2Jf/ALxVHqDnlHho3B3dOfz2p+rjiOExr04tJ4MEYvg9FrVaYxCihtTs/87uLRTWxTTyQyGqgur0aVWcZpVLMzwv49z92GK6jhm6Y/Tf3Aw9iDjg8aT3yG/6jhC/Ff1N6F8a1g1QFvqx8xJcWNKbp+HTWOg7odQurHqNEI8RqfTMenVaqTp9YxacUJ1HLNzKf4SMw/NpHvF7gQWCVQdR4jH6XTQfhboU2HNYNVpckyKG1OhT9dWa3UrAs3HqE4jxFMVdnNiXMeqrDl2g1UR11XHMRvp+nRGho+ksEthBtYcqDqOEE/n6gNtpsPJv+HE36rT5IgUN6Zi9zdw9QB0mgsO+VSnEeKZ2vsXoW21IoxacYKb95NUxzELC08u5Pit44Q2CMXF3kV1HCGereprULmT1npz33zvr5PixhTEnoKtE6B+Pyjxkuo0QjyXTqdjfKeq2NnoGPH3CaxsBZcsO3fvHHOOzqFnlZ7UKFxDdRwhnk+ng7Zfgo0trB6ozblmhqS4US09VVud1bM0NB2pOo0QmeKZz4EJnauxKTKWvw5fUx3HZKXqUxm5ayS+rr58WuNT1XGEyJx8BaHdTDizFiL+VJ0mW6S4UW3nDIg5oXVH2TupTiNEprWq4sOrNYoxdtVJrsc9Uh3HJH1/7HvO3jvLxAYTcbR1VB1HiMyr1A7834B/hmpLAZkZKW5Uun4UdkyDhoOhWE3VaYTIstHtq5DPwY6hfx2T7ql/OXXnFN8d+44Pqn1AFa8qquMIkXWvTNbuAV35qdl1T0lxo0pasjY6qnAlaCSTeQnz5O5iz+TXqrHz3G0W7Y9WHcdkpKSnMHLXSMp6lOUj/49UxxEie5w9tCWALmyBQz+pTpMlUtyosm0S3D4HneaBnYPqNEJkW5MKheletwQT1kQSfSdRdRyT8O3Rb7mUcInQoFDsbe1VxxEi+8o1h1rvwvpguBulOk2mSXGjwpUDED4Lmg4Hn6qq0wiRYyPbVsIznwNDlkWg15tX87WxRdyK4KeTP/FJwCdU8KygOo4QOdcyVLvJeMWn2hJBZkCKm7yWkqiNjipaA+oPUJ1GCKPI72jHtNcD2B91l592X1IdR5lHaY8I3hVMlYJV6FW1l+o4QhiHoyt0/BYu74L981WnyRQpbvLalvEQf1XrjrK1U51GCKOpV6Yg79b3Y+q601y49UB1HCW+Pvw1Nx7eILRBKHY2cn0LC1KqIQT20ZYIun1OdZoXkuImL13aBXu/hWYhUKi86jRCGN3Q1hUpWsCZwUsiSEs3j+ZrYzkQc4DfIn+jf43+lHYvrTqOEMbXbDS4FdMGw6SnqU7zXFLc5JXk+xD2CZQMgsCPVacRIlc4O9gyvUsAx67G8d3Oi6rj5JmHqQ8ZFT6KmoVr8nblt1XHESJ3OLhA53lw7RDs/lp1mueS4iavbBgFD29DxzlgI6ddWK5aJT34sFEZvtp4ltMxCarj5IkZB2dwN+kuoUGh2Ojk+hYWzLeutlTQ1okQe1J1mmeSqzAvnN+kzRHQcjx4llKdRohc91mLcpTyysfgJRGkpFl291T4tXCWnl3K4FqD8XXzVR1HiNzXZAQULAvL+0Baiuo0TyXFTW57FAcr+kHpplD7PdVphMgTjna2zOhSnTMx95m99bzqOLkmISWBkN0h1CtSj64VuqqOI0TesHeCznO1lpud01WneSopbnLbuuGQ8gA6ztZWWxXCSlQr7k7fpmWZs/U8x6/Gq46TK6bsn0JiaiLjgsahk+tbWJOiNbTZ9XdMh+tHVKd5ghQ3uen0WohYBK0ng3tx1WmEyHOfvlyWij6uDFpylKTUdNVxjGpr9FZWXljJ0LpD8cnnozqOEHmv0RDwrqJ1T6UmqU7zGClucsvDO7BqAJR/Baq/qTqNEErY29rwZdfqXL6TyFebzqqOYzT3ku4xds9YGhdvTMcyHVXHEUINW3tt9NTdi7Btouo0j5HiJresHQz6VGg/S7qjhFWr4OPKZy3K892Oixy6fFd1HKOYsG8CaYY0RtcbLd1Rwrp5V4EmwyH8a4jepzpNBilucsOJv+Dkcmg7A1y9VacRQrkPG5Wmum8BBi+JIDHFtCf/epF1UetYf2k9IwNHUsilkOo4QqhXvz8Ur60tLZTyUHUaQIob47sfC2sGQ+VOUPU11WmEMAm2NjpmdAkgJiGJqevOqI6Tbbcf3SZ0XygtS7aktV9r1XGEMA22dtBpLiRch01jVacBpLgxLoMBVg8EGzto+6XqNEKYlNKF8vNFq4os3H2J3Rduq46TZQaDgbF7xmKrsyX4pWDpjhLif3mV05Zn2D8fonaoTiPFjVFF/AFn1mr32eQrqDqNECbn3fp+BJby5POlx7iflKo6TpasvLCSbVe2EVIvBA8nD9VxhDA9gX2gZAMI6wtJamcnl+LGWOKvwj/DIKA7VGyrOo0QJsnGRsf0LgHEJaYwcW2k6jiZFvMwhin7p9C+dHualWimOo4QpsnGRpvTLfEObAhWG0Xp0S2FwQAr+4FDPm1OGyHEM/l6ujCybWX+2H+FrWduqo7zQgaDgdG7R+Ns78zQukNVxxHCtHmWglahcPhnOLdRWQwpbozh0E9wYQt0/AacC6hOI4TJ617Xl0blCzHsr2PEJ5p299TSs0vZfX03Y+uPxd3RXXUcIUxfrV5Q5mXtS/+je0oiSHGTU3ejYH0w1HoXyjZXnUYIs6DT6ZjyWjUSU9IZs8p0Vxa+cv8K0w9O5/Xyr9OgWAPVcYQwDzoddPgGUhLhHzWtnVLc5IReDyv6ajcPtwxVnUYIs1LE3Zkx7auw/Mg11p2IUR3nCXqDnlHho/B08mRI7SGq4whhXtyLwyuT4dhiiFyd54eX4iYn9s2Dy+HQ8VtwdFWdRgiz82rNYrSo7M3I5ce58yBZdZzH/B75O4diDzE+aDz57POpjiOE+QnoDhXaaFOkPMzb6R+kuMmu2+dg81gI/BhKNVSdRgizpNPpmNi5GnqDgeCwExgMBtWRAIiKj2LW4Vm8Vekt6vjUUR1HCPOk00G7maBPgzWDtME3eUSKm+xIT9NWQXUrBs1CVKcRwqwVcnUktFM1/jkRw8qI66rjkKZPI3hXMD75fBhQc4DqOEKYN1dvbVLbUyu0pYnyiBQ32bH7a7h+WFsN1cFFdRohzF5b/yK08y9CyIqT3ExIUppl4cmFnLhzgtCgUJztnJVmEcIiVH0VqnTWlia6nzf310lxk1WxJ2HrRG2hMN+6qtMIYTHGd6yKva0Nw/4+rqx76uy9s8w5Ood3q7xL9cLVlWQQwiK1mQG2DrBqQJ50T0lxkxVpKVp3VMGy0HSE6jRCWBSPfA5MfrUaW07fZOmhq3l+/NT0VEbuGomfmx99q/fN8+MLYdHyFdSWJjq7Do7+nuuHk+ImK3ZOh5untO4oO0fVaYSwOM0re/N6reKMW3WKa3GP8vTY3x3/jvP3zhPaIBQHW4c8PbYQVqFiGwh4E9YNh7gruXooKW4y6/oR2DEdGg6BotVVpxHCYoW0r4yrkx1Dlx1Dr8+b7qmTt0+y4NgCevv3pkrBKnlyTCGsUutJ4JAfVn6aq91TUtxkRmqS1h3lXQUayWReQuQmNyd7przmz67zt/l93+VcP15yejIjd42kvEd5evv3zvXjCWHVnAtoi2te3AYHf8i1w0hxkxnbJsLdi9B5Ptjaq04jhMVrVL4QbwWWYOLa01y+8zBXjzXnyByi70czocEE7G3k+hYi15VtBrXfgw0h2r+tuUCKmxeJ3gfhX2s3EHtXVp1GCKsxok0lvFwdGLI0gvRc6p46evMoC08upG/1vpTzKJcrxxBCPEWL8ZDPC8L6aksZGZkUN8+T8hDC+kDx2trQbyFEnsnnaMf01wM4ePkeP4VHGX3/iamJjNw1kmqFqvFulXeNvn8hxHM45odO30L0Htg31+i7l+LmeTaNhYQb0Gke2NiqTiOE1QksXZBe9Usxdf0Zzt+8b9R9zzo8i5uJN5kQNAFbub6FyHt+DeClj7V/a2+dNequpbh5lovbYf98aD4avMqqTiOE1fqidQWKezgzeEkEaenGab7ed2Mfi04vYmCtgfi5+xlln0KIbGgWAgVKaL0k6WlG260UN0+TlAArPoWSDaDuR6rTCGHVnOxtmdElgOPX4pm/I+c3Hz5IeUBIeAh1fOrQvWJ3IyQUQmSbvbM2d9z1IxA+02i7leLmaTYEQ+Id6DQHbOQUCaFajRIe9GlchpmbznLqekKO9jX94HTikuMYV38cNjq5voVQrnhtCBoI2yZDzAmj7FKu7H87txEO/wytQsHDT3UaIcT/G9C8HGUK5Wfw0ghS0rLXPbXz6k7+OvcXQ+oMobhrcSMnFEJkW5Nh4FVem1MuLSXHu5Pi5n89ugcr+0GZl6FWL9VphBD/w9HOluldAjgXe59vtpzL8uvjk+MZs3sMQUWDeL3c67mQUAiRbXaO0Hku3IqEHdNyvDspbv7XP0MhJRE6zAadTnUaIcS/VC3mTr+Xy/HttgtEXInL0msn75/Mo7RHjKk/Bp1c30KYniIB0OgL2DkDrh3K0a6kuPmPyFVwbDG8MgXci6lOI4R4hk+alqFyETcGL40gKTU9U6/ZfHkzqy+uZnjgcHzy+eRyQiFEtjUcBD7VYPnH2tJH2STFDcDD27BqIFRoAwFvqE4jhHgOe1sbZnQNIPpOIl9ufPHcGHeT7jJu7zia+jalXel2eZBQCJFttvba6Kl7UbA1NNu7keLGYIDVn4FBD+1mSneUEGagvLcrg1uWZ8HOixy4dPeZ2xkMBkL3hqI36AmpFyLdUUKYg8KV4OVg2D0bovdmaxdS3Jz4CyJXQtsZ4OqtOo0QIpM+aFiamiU86P3LQTadin3i54mpiQSHB7Px8kaCXwrGy9lLQUohRLbU+xR862qjp1KyvniudRc392NgzWCo8ipUfVV1GiFEFtja6Pi+R21qlfDgg18OMm7VqYwh4mfunqHb6m5svLyRCQ0m0MqvleK0QogssbGFTnO1f6c3jcnyy3UGgyF3lts1UQkJCbi7uxMfF4fb6t7arIh994GLp+poQohsMBgM/Bh+icn/RFLBx5W29aP4/tQs/Nz9mN54OqXcS6mOKITIrn3z4Z8voMcKKN0k0y8ziZabOXPm4Ofnh5OTE4GBgezfv/+52y9dupSKFSvi5OREtWrVWLt2bdYPemwJnFsP7WdJYSOEGdPpdLzfoBS/fFCN6w7z+fbENGp4tmJR20VS2Ahh7ur0Br+G2pJISZmfnVx5cbN48WIGDRrE6NGjOXz4MAEBAbRq1YqbN28+dfvdu3fTvXt33n//fY4cOUKnTp3o1KkTJ05kccrmjaMh4E2o2MYI70IIodKxW8cYe7g3jq4XqGLXj007gxgddoZHKZkbKi6EMFE2NtBxjjbJ7voRmX6Z8m6pwMBA6tSpw+zZswHQ6/X4+vrSr18/hg0b9sT23bp14+HDh6xevTrjuZdeeonq1aszb968Fx4vo1tqQnncPtsHzgWM9l6EEHlLb9Dz88mf+frw11T2qszURlMpmq8oiw9cYcyqk5TwdGH2mzUp7+2qOqoQIicO/Qyr+sOY+ExtbpfLcZ4rJSWFQ4cOMXz48IznbGxsaN68OXv27Hnqa/bs2cOgQYMee65Vq1aEhYU9dfvk5GSSk5Mz/hwfr52Y+i622P7aOIfvQAihkgEDafo03qn0Dh8GfIi93p779+/TpmIBynv6M2RpBC2mrMNOFsAVwszl4xvbqjRISMDV1fWF0zooLW5u375Neno63t6PD8H29vbm9OnTT31NTEzMU7ePiYl56vaTJk1i7NixTzx/8rPIbKYWQpiaEf//PyGE5WoLMNWd+Ph43Nzcnrut0uImLwwfPvyxlp64uDhKlixJdHQ07u7uCpNZhoSEBHx9fbly5coLf9nEi8n5NC45n8Yn59S45Hxmnavri7uZlRY3Xl5e2NraEhv7+ARcsbGx+Pg8ff0XHx+fLG3v6OiIo6PjE8+7u7vLL5IRubm5yfk0IjmfxiXn0/jknBqXnE/jUtoR7eDgQK1atdi8eXPGc3q9ns2bN1OvXr2nvqZevXqPbQ+wcePGZ24vhBBCCOuivFtq0KBB9OzZk9q1a1O3bl1mzpzJw4cP6dWrFwA9evSgWLFiTJo0CYABAwbQuHFjZsyYQdu2bfnzzz85ePAg3333ncq3IYQQQggToby46datG7du3SIkJISYmBiqV6/OunXrMm4ajo6OxuZ/RjrUr1+fRYsWERwczIgRIyhXrhxhYWFUrVo1U8dzdHRk9OjRT+2qElkn59O45Hwal5xP45NzalxyPnOH8nluhBBCCCGMSSZ/EEIIIYRFkeJGCCGEEBZFihshhBBCWBQpboQQQghhUSyiuJkzZw5+fn44OTkRGBjI/v37n7v90qVLqVixIk5OTlSrVo21a9c+9nODwUBISAhFihTB2dmZ5s2bc+7cudx8CybF2Ofz3XffRafTPfZo3bp1br4Fk5KV83ny5Elee+01/Pz80Ol0zJw5M8f7tDTGPp9jxox54vezYsWKufgOTEtWzueCBQto2LAhHh4eeHh40Lx58ye2l89P455Pa//8zDaDmfvzzz8NDg4Ohh9//NFw8uRJQ+/evQ0FChQwxMbGPnX78PBwg62trWHq1KmGU6dOGYKDgw329vaG48ePZ2wzefJkg7u7uyEsLMwQERFh6NChg6FUqVKGR48e5dXbUiY3zmfPnj0NrVu3Nty4cSPjcffu3bx6S0pl9Xzu37/fMGTIEMMff/xh8PHxMXz11Vc53qclyY3zOXr0aEOVKlUe+/28detWLr8T05DV8/nmm28a5syZYzhy5IghMjLS8O677xrc3d0NV69ezdhGPj+Nez6t+fMzJ8y+uKlbt66hb9++GX9OT083FC1a1DBp0qSnbt+1a1dD27ZtH3suMDDQ8NFHHxkMBoNBr9cbfHx8DNOmTcv4eVxcnMHR0dHwxx9/5MI7MC3GPp8Gg3ZxduzYMVfymrqsns//VbJkyaf+Y5yTfZq73Difo0ePNgQEBBgxpfnI6e9SWlqawdXV1fDzzz8bDAb5/DT2+TQYrPvzMyfMulsqJSWFQ4cO0bx584znbGxsaN68OXv27Hnqa/bs2fPY9gCtWrXK2D4qKoqYmJjHtnF3dycwMPCZ+7QUuXE+/2Pbtm0ULlyYChUq8PHHH3Pnzh3jvwETk53zqWKf5iI33/u5c+coWrQopUuX5q233iI6OjqncU2eMc5nYmIiqampeHp6AvL5aezz+R/W+PmZU2Zd3Ny+fZv09PSM2Yz/w9vbm5iYmKe+JiYm5rnb/+f/s7JPS5Eb5xOgdevW/PLLL2zevJkpU6awfft2XnnlFdLT043/JkxIds6nin2ai9x674GBgSxcuJB169Yxd+5coqKiaNiwIffv389pZJNmjPM5dOhQihYtmvEPunx+Gvd8gvV+fuaU8uUXhOV74403Mv67WrVq+Pv7U6ZMGbZt20azZs0UJhMCXnnllYz/9vf3JzAwkJIlS7JkyRLef/99hclM2+TJk/nzzz/Ztm0bTk5OquOYvWedT/n8zB6zbrnx8vLC1taW2NjYx56PjY3Fx8fnqa/x8fF57vb/+f+s7NNS5Mb5fJrSpUvj5eXF+fPncx7ahGXnfKrYp7nIq/deoEABypcvL7+fzzF9+nQmT57Mhg0b8Pf3z3hePj+Nez6fxlo+P3PKrIsbBwcHatWqxebNmzOe0+v1bN68mXr16j31NfXq1Xtse4CNGzdmbF+qVCl8fHwe2yYhIYF9+/Y9c5+WIjfO59NcvXqVO3fuUKRIEeMEN1HZOZ8q9mku8uq9P3jwgAsXLsjv5zNMnTqV8ePHs27dOmrXrv3Yz+Tz07jn82ms5fMzx1Tf0ZxTf/75p8HR0dGwcOFCw6lTpwwffvihoUCBAoaYmBiDwWAwvPPOO4Zhw4ZlbB8eHm6ws7MzTJ8+3RAZGWkYPXr0U4eCFyhQwLBixQrDsWPHDB07drSqoYzGPJ/37983DBkyxLBnzx5DVFSUYdOmTYaaNWsaypUrZ0hKSlLyHvNSVs9ncnKy4ciRI4YjR44YihQpYhgyZIjhyJEjhnPnzmV6n5YsN87n4MGDDdu2bTNERUUZwsPDDc2bNzd4eXkZbt68mefvL69l9XxOnjzZ4ODgYFi2bNljQ5Pv37//2Dby+Wmc82ntn585YfbFjcFgMHzzzTeGEiVKGBwcHAx169Y17N27N+NnjRs3NvTs2fOx7ZcsWWIoX768wcHBwVClShXDmjVrHvu5Xq83jBo1yuDt7W1wdHQ0NGvWzHDmzJm8eCsmwZjnMzEx0dCyZUtDoUKFDPb29oaSJUsaevfubRX/EP9HVs5nVFSUAXji0bhx40zv09IZ+3x269bNUKRIEYODg4OhWLFihm7duhnOnz+fh+9Iraycz5IlSz71fI4ePTpjG/n8NN75lM/P7NMZDAZD3rYVCSGEEELkHrO+50YIIYQQ4t+kuBFCCCGERZHiRgghhBAWRYobIYQQQlgUKW6EEEIIYVGkuBFCCCGERZHiRgghhBAWRYobIYQQQlgUKW6EEBZn27Zt6HQ64uLiVEcRQiggMxQLIcxekyZNqF69OjNnzgQgJSWFu3fv4u3tjU6nUxtOCJHn7FQHEEIIY3NwcMDHx0d1DCGEItItJYQwa++++y7bt29n1qxZ6HQ6dDodCxculG4pIayYFDdCCLM2a9Ys6tWrR+/evblx4wY3btzA19dXdSwhhEJS3AghzJq7uzsODg64uLjg4+ODj48Ptra2qmMJIRSS4kYIIYQQFkWKGyGEEEJYFCluhBBmz8HBgfT0dNUxhBAmQoaCCyHMnp+fH/v27ePSpUvkz58fvV6vOpIQQiFpuRFCmL0hQ4Zga2tL5cqVKVSoENHR0aojCSEUkhmKhRBCCGFRpOVGCCGEEBZFihshhBBCWBQpboQQQghhUaS4EUIIIYRFkeJGCCGEEBZFihshhBBCWBQpboQQQghhUaS4EUIIIYRFkeJGCCGEEBZFihshhBBCWBQpboQQQoj/2ygYVgAAmTeOT0Wen9sAAAAASUVORK5CYII=",
|
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"text/plain": [
|
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
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"data": {
|
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"image/png": 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",
|
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"text/plain": [
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"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
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"data": {
|
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import numpy as np\n",
|
|
"from skfuzzy import control as ctrl\n",
|
|
"import skfuzzy as fuzz\n",
|
|
"\n",
|
|
"al = ctrl.Antecedent(np.arange(0, 0.3, 0.005), \"al\")\n",
|
|
"ti = ctrl.Antecedent(np.arange(0, 0.3, 0.005), \"ti\")\n",
|
|
"density = ctrl.Antecedent(np.arange(1.13, 2.21, 0.00001), \"density\")\n",
|
|
"temp = ctrl.Consequent(train[\"T\"].sort_values().unique(), \"temp\")\n",
|
|
"\n",
|
|
"al.automf(3, variable_type=\"quant\")\n",
|
|
"al.view()\n",
|
|
"ti.automf(3, variable_type=\"quant\")\n",
|
|
"ti.view()\n",
|
|
"density.automf(5, variable_type=\"quant\")\n",
|
|
"density.view()\n",
|
|
"temp.automf(5, variable_type=\"quant\")\n",
|
|
"temp.view()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 410,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"11"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[IF density[low] AND al[high] THEN temp[lower]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF (density[lower] AND ti[low]) AND al[low] THEN temp[low]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF density[lower] THEN temp[high]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF (density[lower] AND ti[low]) AND al[high] THEN temp[high]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF density[lower] AND ti[high] THEN temp[higher]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF density[low] AND al[low] THEN temp[lower]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF density[average] THEN temp[higher]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF density[average] AND al[low] THEN temp[higher]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF density[average] AND al[high] THEN temp[average]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF density[higher] AND al[low] THEN temp[low]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax,\n",
|
|
" IF density[higher] AND al[high] THEN temp[lower]\n",
|
|
" \tAND aggregation function : fmin\n",
|
|
" \tOR aggregation function : fmax]"
|
|
]
|
|
},
|
|
"execution_count": 410,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from src.rules import get_fuzzy_rules\n",
|
|
"\n",
|
|
"fuzzy_variables = {\"Al2O3\": al, \"TiO2\": ti, \"Density\": density, \"consequent\": temp}\n",
|
|
"fuzzy_rules = get_fuzzy_rules(rules, fuzzy_variables)\n",
|
|
"fuzzy_rules.remove(fuzzy_rules[5])\n",
|
|
"\n",
|
|
"fuzzy_cntrl = ctrl.ControlSystem(fuzzy_rules)\n",
|
|
"\n",
|
|
"sim = ctrl.ControlSystemSimulation(fuzzy_cntrl, lenient=False)\n",
|
|
"\n",
|
|
"display(len(fuzzy_rules))\n",
|
|
"fuzzy_rules"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 411,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"=============\n",
|
|
" Antecedents \n",
|
|
"=============\n",
|
|
"Antecedent: density = 1.247779461633941\n",
|
|
" - lower : 0.5637757326154149\n",
|
|
" - low : 0.4362242673845851\n",
|
|
" - average : 0.0\n",
|
|
" - high : 0.0\n",
|
|
" - higher : 0.0\n",
|
|
"Antecedent: al = 0.0\n",
|
|
" - low : 1.0\n",
|
|
" - average : 0.0\n",
|
|
" - high : 0.0\n",
|
|
"Antecedent: ti = 0.0\n",
|
|
" - low : 1.0\n",
|
|
" - average : 0.0\n",
|
|
" - high : 0.0\n",
|
|
"\n",
|
|
"=======\n",
|
|
" Rules \n",
|
|
"=======\n",
|
|
"RULE #0:\n",
|
|
" IF density[low] AND al[high] THEN temp[lower]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[low] : 0.4362242673845851\n",
|
|
" - al[high] : 0.0\n",
|
|
" density[low] AND al[high] = 0.0\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[lower] : 0.0\n",
|
|
"\n",
|
|
"RULE #1:\n",
|
|
" IF (density[lower] AND ti[low]) AND al[low] THEN temp[low]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[lower] : 0.5637757326154149\n",
|
|
" - ti[low] : 1.0\n",
|
|
" - al[low] : 1.0\n",
|
|
" (density[lower] AND ti[low]) AND al[low] = 0.5637757326154149\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[low] : 0.5637757326154149\n",
|
|
"\n",
|
|
"RULE #2:\n",
|
|
" IF density[lower] THEN temp[high]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[lower] : 0.5637757326154149\n",
|
|
" density[lower] = 0.5637757326154149\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[high] : 0.5637757326154149\n",
|
|
"\n",
|
|
"RULE #3:\n",
|
|
" IF (density[lower] AND ti[low]) AND al[high] THEN temp[high]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[lower] : 0.5637757326154149\n",
|
|
" - ti[low] : 1.0\n",
|
|
" - al[high] : 0.0\n",
|
|
" (density[lower] AND ti[low]) AND al[high] = 0.0\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[high] : 0.0\n",
|
|
"\n",
|
|
"RULE #4:\n",
|
|
" IF density[lower] AND ti[high] THEN temp[higher]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[lower] : 0.5637757326154149\n",
|
|
" - ti[high] : 0.0\n",
|
|
" density[lower] AND ti[high] = 0.0\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[higher] : 0.0\n",
|
|
"\n",
|
|
"RULE #5:\n",
|
|
" IF density[low] AND al[low] THEN temp[lower]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[low] : 0.4362242673845851\n",
|
|
" - al[low] : 1.0\n",
|
|
" density[low] AND al[low] = 0.4362242673845851\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[lower] : 0.4362242673845851\n",
|
|
"\n",
|
|
"RULE #6:\n",
|
|
" IF density[average] THEN temp[higher]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[average] : 0.0\n",
|
|
" density[average] = 0.0\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[higher] : 0.0\n",
|
|
"\n",
|
|
"RULE #7:\n",
|
|
" IF density[average] AND al[low] THEN temp[higher]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[average] : 0.0\n",
|
|
" - al[low] : 1.0\n",
|
|
" density[average] AND al[low] = 0.0\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[higher] : 0.0\n",
|
|
"\n",
|
|
"RULE #8:\n",
|
|
" IF density[average] AND al[high] THEN temp[average]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[average] : 0.0\n",
|
|
" - al[high] : 0.0\n",
|
|
" density[average] AND al[high] = 0.0\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[average] : 0.0\n",
|
|
"\n",
|
|
"RULE #9:\n",
|
|
" IF density[higher] AND al[low] THEN temp[low]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[higher] : 0.0\n",
|
|
" - al[low] : 1.0\n",
|
|
" density[higher] AND al[low] = 0.0\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[low] : 0.0\n",
|
|
"\n",
|
|
"RULE #10:\n",
|
|
" IF density[higher] AND al[high] THEN temp[lower]\n",
|
|
"\tAND aggregation function : fmin\n",
|
|
"\tOR aggregation function : fmax\n",
|
|
"\n",
|
|
" Aggregation (IF-clause):\n",
|
|
" - density[higher] : 0.0\n",
|
|
" - al[high] : 0.0\n",
|
|
" density[higher] AND al[high] = 0.0\n",
|
|
" Activation (THEN-clause):\n",
|
|
" temp[lower] : 0.0\n",
|
|
"\n",
|
|
"\n",
|
|
"==============================\n",
|
|
" Intermediaries and Conquests \n",
|
|
"==============================\n",
|
|
"Consequent: temp = 43.68948509302114\n",
|
|
" lower:\n",
|
|
" Accumulate using accumulation_max : 0.4362242673845851\n",
|
|
" low:\n",
|
|
" Accumulate using accumulation_max : 0.5637757326154149\n",
|
|
" average:\n",
|
|
" Accumulate using accumulation_max : 0.0\n",
|
|
" high:\n",
|
|
" Accumulate using accumulation_max : 0.5637757326154149\n",
|
|
" higher:\n",
|
|
" Accumulate using accumulation_max : 0.0\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"np.float64(43.68948509302114)"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"name": "stderr",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"/Users/user/Projects/python/fuzzy-rules-generator/.venv/lib/python3.12/site-packages/skfuzzy/control/fuzzyvariable.py:125: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
|
|
" fig.show()\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
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",
|
|
"text/plain": [
|
|
"<Figure size 640x480 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sim.input[\"al\"] = 0.0\n",
|
|
"sim.input[\"ti\"] = 0.0\n",
|
|
"sim.input[\"density\"] = pow(1.0569013636039, 4)\n",
|
|
"sim.compute()\n",
|
|
"sim.print_state()\n",
|
|
"display(sim.output[\"temp\"])\n",
|
|
"temp.view(sim=sim)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 412,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
|
" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>T</th>\n",
|
|
" <th>Al2O3</th>\n",
|
|
" <th>TiO2</th>\n",
|
|
" <th>Density</th>\n",
|
|
" <th>Real</th>\n",
|
|
" <th>Inferred</th>\n",
|
|
" <th>RMSE</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>20</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.274429</td>\n",
|
|
" <td>20</td>\n",
|
|
" <td>42.835502</td>\n",
|
|
" <td>22.836</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>25</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.261477</td>\n",
|
|
" <td>25</td>\n",
|
|
" <td>43.331606</td>\n",
|
|
" <td>18.332</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>35</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.234322</td>\n",
|
|
" <td>35</td>\n",
|
|
" <td>43.986276</td>\n",
|
|
" <td>8.986</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>40</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.220283</td>\n",
|
|
" <td>40</td>\n",
|
|
" <td>44.153422</td>\n",
|
|
" <td>4.153</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>45</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.205995</td>\n",
|
|
" <td>45</td>\n",
|
|
" <td>44.307892</td>\n",
|
|
" <td>0.692</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>5</th>\n",
|
|
" <td>50</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.191469</td>\n",
|
|
" <td>50</td>\n",
|
|
" <td>44.452879</td>\n",
|
|
" <td>5.547</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>6</th>\n",
|
|
" <td>60</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.162049</td>\n",
|
|
" <td>60</td>\n",
|
|
" <td>44.715013</td>\n",
|
|
" <td>15.285</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>7</th>\n",
|
|
" <td>65</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.146814</td>\n",
|
|
" <td>65</td>\n",
|
|
" <td>44.849617</td>\n",
|
|
" <td>20.150</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>8</th>\n",
|
|
" <td>70</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.133485</td>\n",
|
|
" <td>70</td>\n",
|
|
" <td>44.968670</td>\n",
|
|
" <td>25.031</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>9</th>\n",
|
|
" <td>20</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.398933</td>\n",
|
|
" <td>20</td>\n",
|
|
" <td>25.524792</td>\n",
|
|
" <td>5.525</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>10</th>\n",
|
|
" <td>45</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.315949</td>\n",
|
|
" <td>45</td>\n",
|
|
" <td>40.896200</td>\n",
|
|
" <td>4.104</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>11</th>\n",
|
|
" <td>50</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.299075</td>\n",
|
|
" <td>50</td>\n",
|
|
" <td>41.694263</td>\n",
|
|
" <td>8.306</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>12</th>\n",
|
|
" <td>55</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.282075</td>\n",
|
|
" <td>55</td>\n",
|
|
" <td>42.495068</td>\n",
|
|
" <td>12.505</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>13</th>\n",
|
|
" <td>65</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.247820</td>\n",
|
|
" <td>65</td>\n",
|
|
" <td>43.688436</td>\n",
|
|
" <td>21.312</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>14</th>\n",
|
|
" <td>70</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.0</td>\n",
|
|
" <td>1.229037</td>\n",
|
|
" <td>70</td>\n",
|
|
" <td>44.051266</td>\n",
|
|
" <td>25.949</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" T Al2O3 TiO2 Density Real Inferred RMSE\n",
|
|
"0 20 0.00 0.0 1.274429 20 42.835502 22.836\n",
|
|
"1 25 0.00 0.0 1.261477 25 43.331606 18.332\n",
|
|
"2 35 0.00 0.0 1.234322 35 43.986276 8.986\n",
|
|
"3 40 0.00 0.0 1.220283 40 44.153422 4.153\n",
|
|
"4 45 0.00 0.0 1.205995 45 44.307892 0.692\n",
|
|
"5 50 0.00 0.0 1.191469 50 44.452879 5.547\n",
|
|
"6 60 0.00 0.0 1.162049 60 44.715013 15.285\n",
|
|
"7 65 0.00 0.0 1.146814 65 44.849617 20.150\n",
|
|
"8 70 0.00 0.0 1.133485 70 44.968670 25.031\n",
|
|
"9 20 0.05 0.0 1.398933 20 25.524792 5.525\n",
|
|
"10 45 0.05 0.0 1.315949 45 40.896200 4.104\n",
|
|
"11 50 0.05 0.0 1.299075 50 41.694263 8.306\n",
|
|
"12 55 0.05 0.0 1.282075 55 42.495068 12.505\n",
|
|
"13 65 0.05 0.0 1.247820 65 43.688436 21.312\n",
|
|
"14 70 0.05 0.0 1.229037 70 44.051266 25.949"
|
|
]
|
|
},
|
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"execution_count": 412,
|
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"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from sklearn import metrics\n",
|
|
"import math\n",
|
|
"\n",
|
|
"\n",
|
|
"def fuzzy_pred(row):\n",
|
|
" sim.input[\"al\"] = row[\"Al2O3\"]\n",
|
|
" sim.input[\"ti\"] = row[\"TiO2\"]\n",
|
|
" sim.input[\"density\"] = row[\"Density\"]\n",
|
|
" sim.compute()\n",
|
|
" return sim.output[\"temp\"]\n",
|
|
"\n",
|
|
"\n",
|
|
"def rmse(row):\n",
|
|
" return math.sqrt(metrics.mean_squared_error([row[\"Real\"]], [row[\"Inferred\"]]))\n",
|
|
"\n",
|
|
"\n",
|
|
"result_train = train.copy()\n",
|
|
"result_train[\"Real\"] = result_train[\"T\"]\n",
|
|
"result_train[\"Inferred\"] = result_train.apply(fuzzy_pred, axis=1)\n",
|
|
"result_train[\"RMSE\"] = result_train.apply(rmse, axis=1)\n",
|
|
"result_train = result_train.round({\"RMSE\": 3})\n",
|
|
"result_train.head(15)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 413,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<div>\n",
|
|
"<style scoped>\n",
|
|
" .dataframe tbody tr th:only-of-type {\n",
|
|
" vertical-align: middle;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe tbody tr th {\n",
|
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" vertical-align: top;\n",
|
|
" }\n",
|
|
"\n",
|
|
" .dataframe thead th {\n",
|
|
" text-align: right;\n",
|
|
" }\n",
|
|
"</style>\n",
|
|
"<table border=\"1\" class=\"dataframe\">\n",
|
|
" <thead>\n",
|
|
" <tr style=\"text-align: right;\">\n",
|
|
" <th></th>\n",
|
|
" <th>T</th>\n",
|
|
" <th>Al2O3</th>\n",
|
|
" <th>TiO2</th>\n",
|
|
" <th>Density</th>\n",
|
|
" <th>Real</th>\n",
|
|
" <th>Inferred</th>\n",
|
|
" <th>RMSE</th>\n",
|
|
" </tr>\n",
|
|
" </thead>\n",
|
|
" <tbody>\n",
|
|
" <tr>\n",
|
|
" <th>0</th>\n",
|
|
" <td>30</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>1.248056</td>\n",
|
|
" <td>30</td>\n",
|
|
" <td>43.682360</td>\n",
|
|
" <td>13.682</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>1</th>\n",
|
|
" <td>55</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>1.176984</td>\n",
|
|
" <td>55</td>\n",
|
|
" <td>44.584574</td>\n",
|
|
" <td>10.415</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>2</th>\n",
|
|
" <td>25</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>1.382694</td>\n",
|
|
" <td>25</td>\n",
|
|
" <td>32.410898</td>\n",
|
|
" <td>7.411</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>3</th>\n",
|
|
" <td>30</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>1.366141</td>\n",
|
|
" <td>30</td>\n",
|
|
" <td>36.212359</td>\n",
|
|
" <td>6.212</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>4</th>\n",
|
|
" <td>35</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>1.349487</td>\n",
|
|
" <td>35</td>\n",
|
|
" <td>38.572188</td>\n",
|
|
" <td>3.572</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>5</th>\n",
|
|
" <td>40</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>1.332788</td>\n",
|
|
" <td>40</td>\n",
|
|
" <td>39.981475</td>\n",
|
|
" <td>0.019</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>6</th>\n",
|
|
" <td>60</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>1.265004</td>\n",
|
|
" <td>60</td>\n",
|
|
" <td>43.236968</td>\n",
|
|
" <td>16.763</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>7</th>\n",
|
|
" <td>35</td>\n",
|
|
" <td>0.30</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>1.903466</td>\n",
|
|
" <td>35</td>\n",
|
|
" <td>50.833080</td>\n",
|
|
" <td>15.833</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>8</th>\n",
|
|
" <td>65</td>\n",
|
|
" <td>0.30</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>1.737597</td>\n",
|
|
" <td>65</td>\n",
|
|
" <td>51.763969</td>\n",
|
|
" <td>13.236</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>9</th>\n",
|
|
" <td>45</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>1.331697</td>\n",
|
|
" <td>45</td>\n",
|
|
" <td>39.657149</td>\n",
|
|
" <td>5.343</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>10</th>\n",
|
|
" <td>50</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>1.314475</td>\n",
|
|
" <td>50</td>\n",
|
|
" <td>40.856200</td>\n",
|
|
" <td>9.144</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>11</th>\n",
|
|
" <td>55</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.05</td>\n",
|
|
" <td>1.297178</td>\n",
|
|
" <td>55</td>\n",
|
|
" <td>41.786269</td>\n",
|
|
" <td>13.214</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>12</th>\n",
|
|
" <td>20</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.30</td>\n",
|
|
" <td>2.245779</td>\n",
|
|
" <td>20</td>\n",
|
|
" <td>32.500000</td>\n",
|
|
" <td>12.500</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>13</th>\n",
|
|
" <td>30</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.30</td>\n",
|
|
" <td>2.165641</td>\n",
|
|
" <td>30</td>\n",
|
|
" <td>32.500000</td>\n",
|
|
" <td>2.500</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>14</th>\n",
|
|
" <td>40</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.30</td>\n",
|
|
" <td>2.091978</td>\n",
|
|
" <td>40</td>\n",
|
|
" <td>32.500000</td>\n",
|
|
" <td>7.500</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>15</th>\n",
|
|
" <td>60</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.30</td>\n",
|
|
" <td>1.956253</td>\n",
|
|
" <td>60</td>\n",
|
|
" <td>32.500000</td>\n",
|
|
" <td>27.500</td>\n",
|
|
" </tr>\n",
|
|
" <tr>\n",
|
|
" <th>16</th>\n",
|
|
" <td>70</td>\n",
|
|
" <td>0.00</td>\n",
|
|
" <td>0.30</td>\n",
|
|
" <td>1.890664</td>\n",
|
|
" <td>70</td>\n",
|
|
" <td>63.573515</td>\n",
|
|
" <td>6.426</td>\n",
|
|
" </tr>\n",
|
|
" </tbody>\n",
|
|
"</table>\n",
|
|
"</div>"
|
|
],
|
|
"text/plain": [
|
|
" T Al2O3 TiO2 Density Real Inferred RMSE\n",
|
|
"0 30 0.00 0.00 1.248056 30 43.682360 13.682\n",
|
|
"1 55 0.00 0.00 1.176984 55 44.584574 10.415\n",
|
|
"2 25 0.05 0.00 1.382694 25 32.410898 7.411\n",
|
|
"3 30 0.05 0.00 1.366141 30 36.212359 6.212\n",
|
|
"4 35 0.05 0.00 1.349487 35 38.572188 3.572\n",
|
|
"5 40 0.05 0.00 1.332788 40 39.981475 0.019\n",
|
|
"6 60 0.05 0.00 1.265004 60 43.236968 16.763\n",
|
|
"7 35 0.30 0.00 1.903466 35 50.833080 15.833\n",
|
|
"8 65 0.30 0.00 1.737597 65 51.763969 13.236\n",
|
|
"9 45 0.00 0.05 1.331697 45 39.657149 5.343\n",
|
|
"10 50 0.00 0.05 1.314475 50 40.856200 9.144\n",
|
|
"11 55 0.00 0.05 1.297178 55 41.786269 13.214\n",
|
|
"12 20 0.00 0.30 2.245779 20 32.500000 12.500\n",
|
|
"13 30 0.00 0.30 2.165641 30 32.500000 2.500\n",
|
|
"14 40 0.00 0.30 2.091978 40 32.500000 7.500\n",
|
|
"15 60 0.00 0.30 1.956253 60 32.500000 27.500\n",
|
|
"16 70 0.00 0.30 1.890664 70 63.573515 6.426"
|
|
]
|
|
},
|
|
"execution_count": 413,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"result_test = test.copy()\n",
|
|
"result_test[\"Real\"] = result_test[\"T\"]\n",
|
|
"result_test[\"Inferred\"] = result_test.apply(fuzzy_pred, axis=1)\n",
|
|
"result_test[\"RMSE\"] = result_test.apply(rmse, axis=1)\n",
|
|
"result_test = result_test.round({\"RMSE\": 3})\n",
|
|
"result_test"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 414,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{'RMSE_train': 13.83186033639128,\n",
|
|
" 'RMSE_test': 11.911189650488444,\n",
|
|
" 'RMAE_test': 3.174074819493516,\n",
|
|
" 'R2_test': 0.3349182345631472}"
|
|
]
|
|
},
|
|
"execution_count": 414,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"rmetrics = {}\n",
|
|
"rmetrics[\"RMSE_train\"] = math.sqrt(\n",
|
|
" metrics.mean_squared_error(result_train[\"Real\"], result_train[\"Inferred\"])\n",
|
|
")\n",
|
|
"rmetrics[\"RMSE_test\"] = math.sqrt(\n",
|
|
" metrics.mean_squared_error(result_test[\"Real\"], result_test[\"Inferred\"])\n",
|
|
")\n",
|
|
"rmetrics[\"RMAE_test\"] = math.sqrt(\n",
|
|
" metrics.mean_absolute_error(result_test[\"Real\"], result_test[\"Inferred\"])\n",
|
|
")\n",
|
|
"rmetrics[\"R2_test\"] = metrics.r2_score(result_test[\"Real\"], result_test[\"Inferred\"])\n",
|
|
"\n",
|
|
"rmetrics"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": ".venv",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.12.9"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|