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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "f5cb2ecf",
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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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"2021-09-28 16:10:28.497166: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1\n"
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]
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}
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],
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"source": [
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||||
"import pandas as pd\n",
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"import numpy as np\n",
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"import os, pdb\n",
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"from sklearn.model_selection import GridSearchCV \n",
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"from sklearn.ensemble import RandomForestClassifier\n",
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"from sklearn.metrics import accuracy_score\n",
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"from tensorflow import keras\n",
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||||
"from keras.preprocessing.sequence import pad_sequences"
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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": 2,
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||||
"id": "459ad77b",
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||||
"metadata": {
|
||||
"scrolled": true
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||||
},
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||||
"outputs": [],
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||||
"source": [
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||||
"study_data_path = \"../IntentData/\"\n",
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||||
"data = pd.read_pickle(study_data_path + \"/Preprocessing_data/clean_data.pkl\")\n",
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||||
"Task_IDs = np.arange(7).tolist()\n",
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||||
"StartIndexOffset = 0 #if set to 5 ignore first 5 elements\n",
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||||
"EndIndexOffset = 0 #if set to 5 ignore last 5 elements"
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]
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||||
},
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{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "4ab8c0cc",
|
||||
"metadata": {},
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||||
"outputs": [
|
||||
{
|
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"data": {
|
||||
"text/plain": [
|
||||
"array(['Cmd', 'Toolbar'], dtype=object)"
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||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
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||||
],
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||||
"source": [
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||||
"data.Rule.unique()\n",
|
||||
"data.columns\n",
|
||||
"data.Type.unique()"
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||||
]
|
||||
},
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||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"id": "05550387",
|
||||
"metadata": {},
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||||
"outputs": [],
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||||
"source": [
|
||||
"# grouping by part is needed to have one ruleset for the whole part\n",
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"# Participant [1,16]\n",
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"# Repeat for 5 times [1,5]\n",
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"# ???????? [0,6]\n",
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"g = data.groupby([\"PID\", \"Part\", \"TaskID\"])"
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]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "7819da48",
|
||||
"metadata": {
|
||||
"scrolled": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"param_grid = {'n_estimators': [10,50,100], \n",
|
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" 'max_depth': [10,20,30]}\n",
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"\n",
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"grid = GridSearchCV(RandomForestClassifier(), param_grid, refit = True, verbose = 0, return_train_score=True) "
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
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||||
"execution_count": 6,
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||||
"id": "e64a6920",
|
||||
"metadata": {},
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||||
"outputs": [],
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||||
"source": [
|
||||
"def createTrainTest(test_IDs, task_IDs, start_index_offset, end_index_offset, shapes=False):\n",
|
||||
" assert isinstance(test_IDs, list)\n",
|
||||
" assert isinstance(task_IDs, list)\n",
|
||||
" # Fill data arrays\n",
|
||||
" y_train = []\n",
|
||||
" x_train = []\n",
|
||||
" y_test = []\n",
|
||||
" x_test = []\n",
|
||||
" for current in g.groups.keys():\n",
|
||||
" c = g.get_group(current)\n",
|
||||
" if (c.TaskID.isin(task_IDs).all()):\n",
|
||||
" new_rule = c.Rule.unique()[0]\n",
|
||||
" if end_index_offset == 0:\n",
|
||||
" new_data = c.Event.values[start_index_offset:]\n",
|
||||
" else:\n",
|
||||
" new_data = c.Event.values[start_index_offset:-end_index_offset]\n",
|
||||
" if (c.PID.isin(test_IDs).all()):\n",
|
||||
" y_test.append(new_rule)\n",
|
||||
" x_test.append(new_data)\n",
|
||||
" else:\n",
|
||||
" y_train.append(new_rule)\n",
|
||||
" x_train.append(new_data)\n",
|
||||
" x_train = np.array(x_train)\n",
|
||||
" y_train = np.array(y_train)\n",
|
||||
" x_test = np.array(x_test)\n",
|
||||
" y_test = np.array(y_test)\n",
|
||||
" print('x_train\\n',x_train)\n",
|
||||
" print('y_train\\n',y_train)\n",
|
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" print('x_test\\n',x_test)\n",
|
||||
" print('y_test\\n',y_test)\n",
|
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" pdb.set_trace()\n",
|
||||
" if (shapes):\n",
|
||||
" print(x_train.shape)\n",
|
||||
" print(y_train.shape)\n",
|
||||
" print(x_test.shape)\n",
|
||||
" print(y_test.shape)\n",
|
||||
" print(np.unique(y_test))\n",
|
||||
" print(np.unique(y_train))\n",
|
||||
" return (x_train, y_train, x_test, y_test)\n",
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"\n",
|
||||
"def runSVMS(train_test, maxlen=None, plots=False, last_elements=False):\n",
|
||||
" x_train, y_train, x_test, y_test = train_test\n",
|
||||
" # Get maxlen to pad and pad\n",
|
||||
" if (maxlen==None):\n",
|
||||
" maxlen = 0\n",
|
||||
" for d in np.concatenate((x_train,x_test)):\n",
|
||||
" if len(d) > maxlen:\n",
|
||||
" maxlen = len(d)\n",
|
||||
" \n",
|
||||
" truncating_elements = \"post\"\n",
|
||||
" if last_elements:\n",
|
||||
" truncating_elements = \"pre\"\n",
|
||||
"\n",
|
||||
" x_train = keras.preprocessing.sequence.pad_sequences(x_train, maxlen=maxlen, dtype='int32', padding='post', truncating=truncating_elements, value=0)\n",
|
||||
" x_test = keras.preprocessing.sequence.pad_sequences(x_test, maxlen=maxlen, dtype='int32', padding='post', truncating=truncating_elements, value=0)\n",
|
||||
"\n",
|
||||
" # fitting the model for grid search \n",
|
||||
" grid.fit(x_train, y_train) \n",
|
||||
"\n",
|
||||
" # print how our model looks after hyper-parameter tuning\n",
|
||||
" if (plots==True):\n",
|
||||
" print(grid.best_estimator_) \n",
|
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"\n",
|
||||
" # Predict with best SVM\n",
|
||||
" pred = grid.predict(x_test)\n",
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"\n",
|
||||
" return accuracy_score(pred, y_test), pred, y_test "
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||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "50dac7db",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stderr",
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||||
"output_type": "stream",
|
||||
"text": [
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||||
"/tmp/ipykernel_97850/1264473745.py:23: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
|
||||
" x_train = np.array(x_train)\n",
|
||||
"/tmp/ipykernel_97850/1264473745.py:25: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
|
||||
" x_test = np.array(x_test)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"x_train\n",
|
||||
" [array([2, 7, 7, 7, 7, 7, 7, 2, 6, 6, 6, 2, 2, 2])\n",
|
||||
" array([4, 1, 4, 1, 1, 1, 1, 1, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([5, 7, 5, 7, 5, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 3, 3, 3, 3, 3, 6, 6, 5, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([5, 3, 5, 3, 3, 5, 3, 5, 3, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 2, 6, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 3, 2, 3, 2, 2, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 6, 6, 2, 2, 2, 7, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 4, 4, 7, 4, 1, 1, 4, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 5, 7, 7, 5, 7, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 5, 3, 6, 3, 6, 3, 6, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([3, 5, 3, 4, 3, 5, 3, 3, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 2, 1, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 3, 4, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 6, 6, 2, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 1, 4, 7, 4, 1, 4, 1, 7, 7, 7, 7, 7, 4, 4])\n",
|
||||
" array([5, 7, 7, 1, 5, 7, 7, 7, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 5, 3, 6, 3, 3, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([5, 3, 3, 4, 3, 5, 3, 5, 3, 5, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 2, 1, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 3, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 6, 6, 6, 2, 2, 7, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 1, 4, 7, 4, 1, 4, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([5, 7, 7, 1, 5, 7, 5, 7, 7, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 5, 2, 2, 6, 3, 3, 6, 3, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([5, 3, 3, 4, 3, 5, 3, 5, 3, 3, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 2, 1, 1, 1, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 3, 2, 2, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 6, 6, 2, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 1, 4, 7, 4, 1, 4, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 7, 5, 7, 7, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 5, 3, 6, 6, 3, 6, 3, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 3])\n",
|
||||
" array([3, 5, 3, 4, 3, 5, 3, 5, 3, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 2, 1, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 3, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 2, 2, 6, 2, 2, 6, 2, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 2, 2, 2, 2, 6, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 4, 4, 7, 1, 4, 1, 4, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 5, 3, 4, 3, 3, 5, 3, 5, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 5, 3, 6, 3, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([5, 7, 7, 1, 7, 7, 7, 7, 5, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 6, 2, 1, 2, 6, 2, 6, 2, 2, 6, 1, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 2, 7, 2, 2, 2, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 1, 4, 7, 1, 4, 1, 4, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([3, 2, 2, 4, 2, 2, 3, 2, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 5, 3, 4, 3, 3, 5, 3, 5, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 5, 3, 3, 3, 6, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 5, 5, 7, 1, 7, 7, 5, 7, 5, 7, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 2, 6, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 2, 7, 2, 2, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 4, 4, 7, 1, 4, 4, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 5, 3, 4, 3, 3, 3, 3, 5, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 5, 3, 6, 3, 3, 6, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([5, 7, 7, 1, 5, 7, 7, 7, 5, 7, 5, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 2, 6, 2, 2, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 2, 7, 2, 2, 2, 2, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 4, 4, 7, 4, 4, 4, 4, 1, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 5, 3, 4, 3, 5, 3, 3, 3, 3, 3, 5, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 5, 3, 3, 6, 3, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 1, 7, 7, 7, 5, 7, 5, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 2, 2, 6, 6, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 2, 7, 2, 2, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 4, 4, 7, 1, 4, 1, 4, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 4, 2, 2, 3, 2, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 5, 3, 4, 3, 5, 3, 3, 3, 5, 3, 4, 4, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 5, 3, 6, 3, 3, 6, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 1, 7, 7, 5, 5, 7, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 5, 3, 4, 4, 4, 3, 5, 3, 5, 5, 3, 3])\n",
|
||||
" array([6, 3, 5, 5, 5, 5, 5, 5, 6, 3, 6, 3, 3, 3, 3])\n",
|
||||
" array([2, 2, 3, 2, 2, 2, 3, 3, 2, 2, 2, 3, 2, 2, 2, 3])\n",
|
||||
" array([1, 7, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 1, 1, 1, 6, 2, 1, 2, 6, 1, 2, 1])\n",
|
||||
" array([6, 2, 7, 2, 2, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 7, 7, 1, 1, 1, 1, 1, 1, 5, 7, 5, 7])\n",
|
||||
" array([3, 3, 5, 3, 3, 5, 3, 3, 3, 3, 5])\n",
|
||||
" array([2, 3, 3, 5, 3, 3, 3, 3, 2]) array([2, 3, 2, 2, 2, 2, 2, 3])\n",
|
||||
" array([1, 7, 1, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 1, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 2, 6, 7, 7, 2, 2, 2, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 5, 7, 7, 5, 7, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 3, 3, 5, 3, 5, 3, 5, 3])\n",
|
||||
" array([6, 3, 3, 5, 6, 3, 3, 6, 3, 6, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 3, 2, 2, 2, 3, 2, 3, 2]) array([1, 7, 1, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 2, 2, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 2, 7, 7, 7, 2, 2, 7, 6, 7, 7, 2])\n",
|
||||
" array([5, 7, 7, 1, 1, 7, 5, 7, 1, 1, 7, 1, 7, 1])\n",
|
||||
" array([3, 5, 3, 3, 5, 3, 5, 3, 5, 3])\n",
|
||||
" array([3, 6, 3, 5, 3, 6, 6, 3, 3, 6, 3, 6, 5, 5, 5, 5, 5, 6, 6, 6])\n",
|
||||
" array([2, 2, 3, 2, 2, 3, 2, 2, 3]) array([1, 7, 7, 1, 7, 7, 7, 7, 1])\n",
|
||||
" array([2, 6, 2, 1, 2, 6, 2, 6, 2, 6, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 2, 7, 6, 6, 2, 2, 2, 2, 7, 7, 4, 7, 7, 7])\n",
|
||||
" array([7, 7, 5, 1, 7, 5, 7, 5, 7, 7, 1, 1, 1, 1, 1, 7])\n",
|
||||
" array([3, 5, 3, 5, 3, 3, 5, 3, 3])\n",
|
||||
" array([3, 6, 3, 5, 3, 3, 3, 6, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 3, 2, 2, 2, 2, 2, 3]) array([1, 7, 1, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 1, 1, 1, 1, 1, 1, 1, 2, 6, 6, 2, 2, 6, 2])\n",
|
||||
" array([6, 2, 7, 6, 6, 6, 6, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 1, 1, 1, 1, 1, 7, 7, 5, 7, 5, 7, 5])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 3, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([4, 1, 4, 4, 4, 4, 4, 7, 4, 1, 4, 1, 4, 1, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 1, 1, 1, 1, 1, 5, 7, 5, 7, 7, 7])\n",
|
||||
" array([6, 2, 2, 1, 1, 2, 2, 1, 1, 1, 1, 2, 2, 6])\n",
|
||||
" array([4, 5, 3, 3, 3, 3, 3, 3, 3, 5, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 6, 2, 7, 7, 7, 7, 7, 7, 6, 2, 2, 2])\n",
|
||||
" array([6, 3, 3, 5, 5, 5, 5, 5, 5, 3, 6, 3, 3, 6, 3])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 3, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([4, 1, 4, 7, 4, 4, 4, 1, 4, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 5, 7, 7, 1, 7, 7, 7, 7, 5, 5])\n",
|
||||
" array([6, 2, 2, 1, 1, 2, 1, 2, 6, 1, 2, 1, 2, 6, 1])\n",
|
||||
" array([5, 4, 3, 4, 5, 3, 4, 3, 4, 3, 4, 5, 3, 4])\n",
|
||||
" array([6, 2, 7, 7, 6, 7, 2, 6, 7, 7, 6, 7])\n",
|
||||
" array([6, 3, 3, 5, 5, 1, 1, 3, 5, 6, 3, 5, 6, 3, 5, 6, 3])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([4, 1, 4, 7, 7, 4, 1, 7, 4, 7, 4, 1, 4, 1, 7, 7])\n",
|
||||
" array([7, 4, 5, 7, 1, 1, 7, 1, 7, 5, 5, 7, 2, 7, 7, 7])\n",
|
||||
" array([6, 2, 2, 1, 2, 1, 2, 6, 6, 2, 6, 2, 1, 1, 1])\n",
|
||||
" array([5, 3, 3, 4, 3, 4, 4, 3, 4, 5, 3, 4, 4, 3])\n",
|
||||
" array([6, 2, 7, 7, 2, 7, 7, 6, 2, 2, 7, 7])\n",
|
||||
" array([1, 3, 1, 6, 3, 3, 5, 3, 5, 5, 6, 3, 5, 3, 5, 5, 3])\n",
|
||||
" array([2, 3, 4, 3, 4, 2, 3, 2, 3, 4, 4, 2, 3, 3, 4, 3, 3, 4, 3, 2, 3, 2])\n",
|
||||
" array([4, 1, 4, 7, 7, 4, 1, 4, 7, 7, 4, 7, 4, 1, 7])\n",
|
||||
" array([7, 5, 7, 1, 1, 7, 5, 1, 7, 7, 7, 1, 1, 1, 7, 5])\n",
|
||||
" array([6, 2, 2, 1, 1, 1, 1, 1, 1, 2, 6, 2, 2, 2])\n",
|
||||
" array([5, 3, 3, 4, 3, 5, 3, 5, 3, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 2, 2, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([6, 3, 3, 5, 3, 6, 6, 3, 3, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 3, 2, 4, 2, 2, 2, 3, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([4, 1, 4, 7, 7, 7, 7, 7, 7, 4, 1, 4, 4, 1, 4, 1])\n",
|
||||
" array([7, 5, 7, 1, 1, 7, 5, 1, 7, 7, 5, 1, 1, 1, 7])\n",
|
||||
" array([6, 2, 2, 1, 1, 2, 2, 1, 1, 2, 1, 2, 6, 1])\n",
|
||||
" array([5, 3, 3, 4, 3, 3, 3, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 2, 2, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([6, 3, 3, 5, 5, 3, 6, 3, 5, 5, 6, 3, 5, 5, 3, 5, 5])\n",
|
||||
" array([6, 2, 7, 7, 7, 7, 7, 7, 6, 6, 2, 2])\n",
|
||||
" array([5, 3, 4, 3, 3, 3, 3, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([5, 7, 1, 7, 1, 3, 1, 1, 3, 1, 1, 1, 1, 7, 7, 7, 7, 5, 5])\n",
|
||||
" array([1, 7, 4, 4, 1, 1, 7, 7, 7, 7, 7, 4, 4, 4, 1, 4])\n",
|
||||
" array([6, 2, 1, 2, 2, 2, 2, 2, 6, 6])\n",
|
||||
" array([6, 3, 5, 5, 6, 6, 6, 6, 6, 3, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 3, 2, 4, 2, 2, 2, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 2, 2, 2, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([3, 5, 4, 3, 3, 3, 3, 3, 5, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([7, 5, 7, 1, 1, 1, 1, 1, 1, 7, 7, 7, 7, 5, 5, 5, 5])\n",
|
||||
" array([1, 4, 7, 4, 7, 7, 7, 7, 7, 1, 1])\n",
|
||||
" array([6, 2, 2, 1, 2, 2, 2, 2, 6, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 3, 3, 5, 3, 6, 6, 3, 3, 3, 6])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 7, 2, 2, 2, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([3, 5, 3, 4, 3, 3, 3, 3, 5, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([7, 5, 7, 1, 7, 5, 7, 7, 7, 5, 1, 1, 1, 1, 1])\n",
|
||||
" array([1, 4, 4, 7, 4, 4, 4, 4, 7, 7, 7, 7, 7, 1, 1, 1])\n",
|
||||
" array([2, 6, 1, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 6, 6])\n",
|
||||
" array([3, 6, 3, 5, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 6])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 3, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 2, 6, 2, 7, 6, 2, 2, 6, 2, 2, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([5, 3, 3, 4, 3, 3, 5, 5, 3, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([7, 5, 1, 7, 2, 2, 3, 7, 7, 7, 7, 5, 1, 1, 1, 1, 1])\n",
|
||||
" array([1, 4, 4, 7, 1, 4, 7, 7, 7, 7, 7, 4, 1, 1, 4, 4])\n",
|
||||
" array([6, 2, 2, 1, 2, 2, 2, 2, 6, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 5, 3, 3, 3, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 3, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 2, 2, 2, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([5, 3, 3, 4, 3, 3, 3, 3, 5, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([7, 5, 7, 1, 1, 1, 1, 1, 1, 5, 5, 7, 4, 7, 7, 7])\n",
|
||||
" array([4, 1, 4, 7, 7, 7, 7, 7, 7, 4, 1, 4, 1, 4, 4])\n",
|
||||
" array([6, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 6, 6])\n",
|
||||
" array([6, 3, 3, 5, 3, 3, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 3, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 5, 4, 3, 3, 5, 5, 3, 3, 5, 3, 5, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 3, 2, 2, 3, 2, 3, 2, 2, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 3, 3, 2, 3, 3, 2, 3, 3])\n",
|
||||
" array([2, 6, 2, 2, 2, 6, 2, 6, 2, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([1, 4, 4, 1, 4, 1, 4, 4, 4, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 1, 7, 1, 7, 5, 1, 7, 1, 7, 1, 7, 5, 1])\n",
|
||||
" array([2, 2, 2, 2, 7, 7, 7, 7, 7, 7, 2, 2, 7, 2, 6, 2, 6, 6, 2, 2, 6])\n",
|
||||
" array([5, 3, 5, 3, 3, 3, 5, 3, 3, 5, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 2, 4, 3, 3, 2, 4, 2, 4, 4, 2, 2, 3, 4, 4, 2, 3, 4])\n",
|
||||
" array([2, 3, 3, 3, 4, 2, 3, 4, 3, 4, 2, 3, 4])\n",
|
||||
" array([6, 2, 1, 2, 1, 2, 6, 1, 2, 6, 1, 2, 1, 2, 6, 1])\n",
|
||||
" array([4, 1, 7, 4, 1, 1, 7, 1, 4, 7, 4, 7, 4, 7, 1, 4, 7])\n",
|
||||
" array([7, 5, 1, 7, 1, 7, 7, 1, 7, 5, 1, 7, 5, 1, 7, 1])\n",
|
||||
" array([6, 7, 2, 7, 2, 7, 6, 7, 2, 2, 2, 2, 7, 6])\n",
|
||||
" array([3, 5, 4, 3, 4, 4, 3, 5, 4, 3, 5, 4, 3, 4, 3, 4])\n",
|
||||
" array([2, 3, 4, 2, 4, 2, 3, 4, 2, 4, 2, 4, 2, 3, 4])\n",
|
||||
" array([6, 3, 3, 4, 3, 4, 6, 3, 4, 3, 4, 4, 3])\n",
|
||||
" array([2, 6, 1, 2, 1, 2, 6, 1, 2, 1, 2, 6, 1, 2, 1, 2])\n",
|
||||
" array([1, 4, 7, 4, 7, 1, 4, 7, 1, 4, 7, 4, 7, 7, 1, 4])\n",
|
||||
" array([7, 4, 5, 1, 7, 7, 1, 7, 7, 1, 7, 5, 1, 7, 1, 7, 1])\n",
|
||||
" array([6, 7, 2, 7, 6, 7, 2, 7, 2, 7, 6, 7])\n",
|
||||
" array([3, 5, 3, 3, 3, 3, 3, 5, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 3, 2, 2, 2, 2, 3, 4, 4, 4, 4, 2, 4, 4])\n",
|
||||
" array([2, 3, 3, 2, 3, 2, 3, 2, 3, 3, 4, 4, 2, 6, 2, 6, 2, 6, 2, 6])\n",
|
||||
" array([2, 6, 1, 2, 1, 2, 1, 2, 2, 6, 1, 1, 1, 1, 2, 1])\n",
|
||||
" array([4, 1, 7, 1, 7, 1, 7, 1, 4, 7, 1, 4, 7, 1, 7, 7])\n",
|
||||
" array([7, 5, 1, 7, 1, 7, 5, 1, 7, 1, 7, 5, 1, 7, 5, 1])\n",
|
||||
" array([6, 7, 2, 7, 6, 7, 6, 7, 6, 7, 2, 7])\n",
|
||||
" array([3, 5, 3, 3, 3, 5, 3, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 3, 2, 2, 2, 3, 2, 2, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 3, 3, 5, 5, 5, 5, 3, 5, 3, 5, 3, 6, 5, 3, 6, 5])\n",
|
||||
" array([2, 6, 1, 2, 1, 2, 6, 1, 2, 1, 2, 2, 2, 1, 2, 1])\n",
|
||||
" array([1, 4, 7, 4, 7, 1, 4, 7, 4, 7, 1, 4, 7, 4, 7])\n",
|
||||
" array([7, 5, 1, 7, 1, 7, 5, 1, 7, 1, 7, 1, 7, 5])\n",
|
||||
" array([6, 6, 7, 2, 7, 6, 7, 6, 7, 6, 7, 2, 7])\n",
|
||||
" array([2, 3, 2, 6, 3, 5, 5, 3, 6, 3, 6, 3, 6, 3, 5, 5, 5, 5])\n",
|
||||
" array([3, 5, 3, 4, 3, 5, 3, 3, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 2, 1, 1, 1, 1, 1, 1, 2, 2, 6, 2, 6, 2])\n",
|
||||
" array([2, 3, 3, 4, 2, 3, 3, 3, 2, 2, 2, 4, 4, 4, 4, 4, 2, 3, 3, 2, 3, 2])\n",
|
||||
" array([4, 4, 1, 7, 4, 4, 4, 4, 1, 1, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([6, 2, 7, 2, 2, 2, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 7, 7, 7, 5, 7, 5, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 3, 3, 5, 3, 3, 6, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([5, 3, 3, 4, 4, 4, 4, 4, 4, 3, 5, 3, 3, 3, 5])\n",
|
||||
" array([6, 2, 2, 1, 2, 6, 2, 2, 6, 6, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 3, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([4, 1, 4, 7, 4, 1, 1, 4, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([6, 2, 7, 2, 6, 6, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 7, 7, 7, 5, 7, 5, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 3, 5, 2, 2, 3, 6, 3, 3, 2, 6, 6, 3, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([5, 3, 3, 4, 3, 5, 3, 5, 3, 5, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 2, 6, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 2, 2, 3, 2, 4, 2, 3, 2, 2, 2, 3, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([4, 1, 4, 7, 4, 4, 4, 4, 1, 7, 7, 7, 7, 7, 1])\n",
|
||||
" array([6, 2, 7, 6, 6, 2, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 1, 7, 1, 7, 5, 1, 7, 1, 7, 1])\n",
|
||||
" array([6, 3, 3, 5, 3, 6, 5, 5, 3, 6, 5, 3, 5, 3, 5])\n",
|
||||
" array([3, 5, 3, 4, 3, 3, 5, 3, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 6, 2, 6, 2, 2, 6, 3, 3, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 4, 4, 2, 3, 4, 2, 3, 3, 4, 2, 3, 4])\n",
|
||||
" array([3, 3, 1, 4, 4, 7, 4, 4, 4, 4, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([6, 2, 7, 2, 2, 7, 7, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 7, 7, 5, 5, 5, 7, 7, 5, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 5, 5, 3, 5, 5, 3, 6, 5, 3, 5, 3, 6, 5])\n",
|
||||
" array([5, 3, 3, 3, 4, 4, 3, 5, 4, 3, 4, 3, 5, 4])\n",
|
||||
" array([6, 2, 2, 1, 2, 2, 6, 2, 6, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 4, 2, 2, 3, 2, 3, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([1, 4, 4, 7, 1, 4, 1, 4, 1, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([6, 2, 7, 7, 2, 7, 2, 7, 6, 7, 6, 7, 7, 6])\n",
|
||||
" array([7, 5, 7, 1, 7, 1, 1, 7, 1, 7, 5, 1, 7, 5, 1])\n",
|
||||
" array([7, 5, 1, 7, 2, 2, 5, 5, 5, 5, 5, 2, 2, 2, 2, 1, 5, 5, 5, 5, 2, 7,\n",
|
||||
" 2, 7, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 4, 4, 2, 2, 2, 2, 2, 3, 3, 4, 4, 4, 4, 2])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 2, 2, 6, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 5, 4, 3, 4, 3, 5, 4, 3, 3, 4, 3, 5, 4, 4, 3, 3, 5, 4])\n",
|
||||
" array([2, 6, 7, 2, 7, 2, 2, 2, 6, 7, 2, 6, 7, 2, 7, 2, 6, 7])\n",
|
||||
" array([2, 3, 5, 3, 3, 5, 2, 3, 5, 2, 3, 3, 5, 3, 4, 5, 2, 3, 5])\n",
|
||||
" array([1, 4, 7, 4, 7, 4, 1, 7, 4, 7, 1, 4, 7, 4, 7])\n",
|
||||
" array([5, 7, 1, 7, 1, 5, 7, 1, 7, 5, 1, 7, 1, 7, 1])\n",
|
||||
" array([2, 3, 1, 2, 1, 2, 1, 2, 1, 3, 2, 3, 1])\n",
|
||||
" array([2, 6, 1, 6, 1, 6, 1, 2, 6, 1, 2, 6, 1, 6, 1])\n",
|
||||
" array([5, 3, 4, 3, 3, 3, 4, 3, 4, 3, 4, 4, 3, 5, 4, 3, 5, 4])\n",
|
||||
" array([6, 7, 2, 7, 2, 7, 6, 7, 6, 7, 2, 7])\n",
|
||||
" array([2, 3, 5, 3, 5, 3, 5, 3, 5, 6, 3, 2, 6, 5, 5, 3])\n",
|
||||
" array([1, 4, 7, 4, 7, 4, 1, 7, 1, 4, 7, 4, 7, 4, 7])\n",
|
||||
" array([5, 7, 1, 7, 1, 5, 7, 1, 7, 5, 1, 7, 1, 1, 5, 7])\n",
|
||||
" array([3, 2, 4, 2, 4, 2, 4, 2, 4, 2, 4, 2, 3, 4])\n",
|
||||
" array([2, 6, 1, 2, 1, 2, 6, 1, 2, 6, 1, 2, 6, 1, 2, 1])\n",
|
||||
" array([3, 5, 4, 5, 4, 5, 4, 5, 4, 5, 3, 4, 4, 5])\n",
|
||||
" array([7, 2, 6, 7, 7, 2, 2, 6, 7, 2, 7, 2, 7, 6, 7])\n",
|
||||
" array([6, 3, 5, 3, 5, 6, 5, 5, 3, 5, 3, 5, 5, 5, 3, 3, 5, 3, 5])\n",
|
||||
" array([1, 4, 7, 4, 7, 4, 1, 7, 4, 1, 7, 4, 7, 4, 1, 7])\n",
|
||||
" array([5, 7, 1, 7, 1, 7, 1, 5, 7, 1, 5, 7, 1, 7, 1])\n",
|
||||
" array([3, 2, 4, 2, 4, 4, 2, 4, 2, 3, 4, 2, 3, 4, 4, 2, 3])\n",
|
||||
" array([2, 6, 1, 2, 1, 2, 6, 1, 2, 6, 1, 2, 1, 2, 1])\n",
|
||||
" array([5, 3, 5, 5, 4, 3, 4, 3, 4, 3, 5, 4, 3, 5, 4, 4, 3, 5])\n",
|
||||
" array([3, 6, 3, 7, 2, 7, 6, 7, 2, 7, 6, 2, 6, 7])\n",
|
||||
" array([6, 3, 5, 3, 5, 6, 3, 5, 5, 3, 5, 6, 3, 5, 5, 3, 6])\n",
|
||||
" array([1, 4, 7, 4, 7, 4, 1, 7, 4, 1, 7, 4, 7, 4, 7])\n",
|
||||
" array([5, 7, 1, 7, 1, 7, 1, 7, 7, 1, 5, 7, 1, 5, 7, 1])\n",
|
||||
" array([3, 2, 4, 2, 4, 3, 2, 4, 2, 4, 3, 2, 4, 2, 4])\n",
|
||||
" array([2, 6, 1, 2, 1, 2, 6, 1, 2, 6, 1, 2, 1, 2, 6, 1])\n",
|
||||
" array([5, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 5, 4])\n",
|
||||
" array([6, 7, 2, 7, 2, 6, 2, 6, 2, 2, 5, 7, 6, 7, 2, 7, 2, 7])\n",
|
||||
" array([6, 3, 5, 3, 5, 3, 6, 5, 5, 3, 5, 3, 6, 5, 6, 3, 5])\n",
|
||||
" array([1, 4, 7, 4, 7, 4, 7, 4, 7, 4, 7, 1, 4, 7])\n",
|
||||
" array([7, 5, 5, 7, 5, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 5, 5, 3, 3, 3, 3, 3, 3, 3])\n",
|
||||
" array([7, 7, 7, 7, 7, 7, 7, 6, 6, 6, 6, 2, 2])\n",
|
||||
" array([2, 3, 2, 3, 2, 3, 2, 2, 2])\n",
|
||||
" array([1, 1, 1, 4, 1, 4, 4, 4, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 6, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 6, 3, 6, 3, 3, 3, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 5, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 5, 3, 3, 3, 3, 3, 4, 4, 4, 4])\n",
|
||||
" array([6, 6, 2, 2, 2, 2, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 3, 2, 3, 2, 3, 2, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([1, 4, 1, 4, 1, 4, 4, 4, 4, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([6, 2, 6, 2, 6, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([6, 3, 6, 3, 6, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 5, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 5, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 6, 6, 6, 2, 2, 2, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 3, 2, 3, 2, 2, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([1, 1, 1, 4, 4, 4, 4, 4, 4, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([6, 2, 2, 6, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 6, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([5, 7, 5, 7, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 3, 5, 3, 5, 3, 3, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 6, 6, 6, 2, 2, 7, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 3, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([1, 1, 1, 4, 4, 4, 4, 4, 4, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 2, 2, 2, 2, 2, 6, 6, 6, 6, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 3, 3, 3, 3, 3, 6, 6, 7, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 5, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 3, 3, 5, 3, 3, 5, 3, 5, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 6, 6, 6, 2, 2, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 2, 3, 2, 2, 3, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([4, 4, 4, 4, 4, 4, 1, 1, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 2, 2, 2, 2, 2, 6, 6, 6, 6, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6])\n",
|
||||
" array([7, 5, 7, 1, 1, 7, 7, 7, 7, 5, 1, 1, 1, 1])\n",
|
||||
" array([2, 6, 1, 2, 1, 2, 1, 2, 6, 2, 6, 1, 1, 1, 2])\n",
|
||||
" array([6, 2, 7, 7, 2, 6, 2, 2, 7, 7, 7, 7, 2, 6])\n",
|
||||
" array([5, 3, 3, 4, 4, 3, 4, 3, 3, 4, 3, 5, 4, 3, 5, 4])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 3, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 5, 3, 3, 6, 3, 6, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([4, 1, 4, 7, 7, 4, 7, 4, 7, 1, 4, 7, 4, 6, 6, 7, 6])\n",
|
||||
" array([7, 5, 7, 1, 1, 7, 5, 1, 7, 1, 7, 5, 1, 7, 1, 5])\n",
|
||||
" array([2, 6, 2, 1, 1, 2, 1, 2, 1, 2, 6, 1, 2, 6, 1])\n",
|
||||
" array([6, 2, 7, 7, 6, 7, 2, 7, 6, 7, 2, 7])\n",
|
||||
" array([5, 3, 3, 4, 4, 3, 5, 3, 3, 5, 3, 4, 4, 4, 4])\n",
|
||||
" array([2, 3, 1, 1, 2, 4, 4, 2, 4, 2, 3, 2, 3, 4, 4, 2, 4])\n",
|
||||
" array([3, 6, 3, 5, 5, 3, 6, 5, 3, 5, 6, 3, 5, 3, 5])\n",
|
||||
" array([1, 4, 4, 7, 7, 1, 4, 5, 5, 7, 4, 7, 4, 7, 1, 4, 7])\n",
|
||||
" array([7, 5, 7, 1, 7, 5, 1, 7, 5, 1, 7, 5, 1, 7, 1, 7, 1])\n",
|
||||
" array([2, 6, 2, 1, 1, 2, 6, 2, 1, 1, 2, 1, 2, 1])\n",
|
||||
" array([6, 2, 7, 7, 6, 2, 7, 6, 7, 2, 7, 6, 7])\n",
|
||||
" array([5, 3, 3, 4, 4, 3, 4, 3, 5, 3, 5, 4, 4, 3, 4])\n",
|
||||
" array([2, 3, 2, 4, 4, 2, 3, 4, 2, 4, 2, 3, 4, 2, 3, 3, 4])\n",
|
||||
" array([6, 3, 3, 5, 5, 3, 3, 6, 3, 3, 5, 5, 5, 5])\n",
|
||||
" array([4, 1, 4, 7, 7, 4, 7, 4, 7, 4, 7, 1, 4, 7])\n",
|
||||
" array([7, 5, 7, 1, 7, 5, 1, 7, 1, 5, 7, 1, 7, 1, 1, 5, 1, 7, 1])\n",
|
||||
" array([2, 6, 2, 1, 1, 2, 1, 2, 1, 2, 6, 1, 2, 1])\n",
|
||||
" array([6, 2, 7, 7, 6, 7, 2, 7, 6, 7, 2, 7])\n",
|
||||
" array([5, 3, 3, 4, 5, 3, 4, 5, 3, 4, 3, 4, 3, 4, 3, 5, 4])\n",
|
||||
" array([2, 3, 2, 4, 4, 2, 3, 4, 2, 4, 2, 3, 4, 2, 4])\n",
|
||||
" array([3, 6, 3, 5, 5, 3, 5, 3, 6, 5, 3, 6, 5, 3, 3, 5])\n",
|
||||
" array([4, 1, 4, 7, 4, 7, 7, 4, 7, 4, 1, 1, 4, 7, 7])\n",
|
||||
" array([7, 5, 7, 1, 1, 7, 1, 7, 5, 5, 1, 7, 1, 7, 5, 1])\n",
|
||||
" array([2, 6, 2, 1, 1, 1, 1, 1, 1, 2, 6, 2, 2, 2, 6])\n",
|
||||
" array([6, 2, 7, 7, 6, 7, 6, 7, 2, 7, 2, 7])\n",
|
||||
" array([3, 5, 3, 4, 4, 5, 3, 4, 3, 4, 5, 3, 4, 3, 4])\n",
|
||||
" array([2, 3, 2, 4, 4, 2, 4, 2, 4, 2, 3, 4, 2, 4])\n",
|
||||
" array([6, 3, 3, 5, 5, 3, 6, 3, 5, 5, 3, 6, 5, 3, 6, 5])\n",
|
||||
" array([1, 4, 4, 7, 7, 4, 1, 7, 4, 4, 4, 7, 7, 7, 1])\n",
|
||||
" array([2, 3, 2, 2, 3, 2, 3, 2, 2])\n",
|
||||
" array([7, 5, 7, 1, 1, 1, 1, 1, 1, 1, 7, 7, 7, 5, 7, 5])\n",
|
||||
" array([2, 6, 1, 2, 1, 1, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 3, 3, 3, 3, 5, 5, 3, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 5, 3, 6, 3, 6, 3, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([6, 2, 7, 2, 2, 2, 6, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 4, 4, 7, 7, 7, 7, 7, 7, 1, 4, 4, 4])\n",
|
||||
" array([2, 3, 2, 4, 4, 4, 4, 4, 4, 2, 3, 2, 3, 2, 2])\n",
|
||||
" array([1, 7, 5, 7, 7, 5, 7, 5, 7, 5, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 6, 2, 1, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([4, 3, 5, 3, 4, 3, 5, 5, 3, 3, 5, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 3, 3, 5, 3, 3, 3, 6, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([6, 2, 7, 2, 2, 2, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 4, 7, 3, 7, 3, 1, 1, 4, 4, 1, 4, 4, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 4, 2, 2, 2, 3, 3, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([7, 5, 7, 1, 7, 5, 7, 7, 5, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 6, 2, 1, 2, 6, 2, 6, 2, 6, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 3, 5, 4, 3, 5, 3, 5, 3, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([5, 6, 3, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5, 6, 6, 6])\n",
|
||||
" array([6, 2, 7, 6, 6, 2, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 1, 4, 7, 4, 4, 4, 4, 1, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 4, 3, 2, 2, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([1, 7, 5, 7, 7, 7, 7, 7, 5, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 6, 2, 1, 2, 6, 2, 6, 2, 2, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([4, 3, 3, 5, 3, 3, 5, 3, 5, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 5, 3, 3, 3, 3, 6, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([6, 2, 7, 6, 6, 6, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 4, 1, 7, 4, 4, 4, 4, 1, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 2, 3, 2, 2, 3, 2, 3, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([1, 7, 5, 7, 1, 1, 1, 1, 1, 7, 7, 7, 7, 5])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 2, 2, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 3, 4, 3, 5, 3, 5, 5, 3, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 3, 3, 5, 2, 3, 2, 6, 6, 3, 2, 6, 3, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([6, 2, 7, 2, 2, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 1, 4, 7, 4, 4, 4, 4, 1, 7, 7, 7, 7, 7, 4])\n",
|
||||
" array([4, 4, 4, 4, 4, 4, 7, 7, 7, 7, 7, 7, 1, 1])\n",
|
||||
" array([2, 6, 2, 2, 2, 6, 2, 6, 2, 6, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([4, 4, 4, 4, 4, 4, 4, 5, 2, 5, 5, 5, 5, 5, 2, 2, 2])\n",
|
||||
" array([6, 3, 3, 6, 3, 3, 3, 3, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 7, 7, 7, 7, 5, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 3, 2, 3, 2, 3, 2, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 6, 6, 6, 2, 2, 4, 4, 4, 4, 4, 4, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 4, 4, 4, 4, 4, 1, 1, 1, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([6, 2, 2, 6, 2, 2, 6, 2, 2, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 4, 5, 5, 3, 3, 3, 5, 5, 5, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 3, 3, 3, 6, 3, 3, 3, 6, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 5, 7, 5, 7, 7, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 2, 2, 3, 2, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 6, 6, 2, 2, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 4, 4, 4, 4, 4, 4, 1, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 2, 6, 2, 2, 6, 2, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 3, 3, 3, 3, 3, 5, 3, 5, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 3, 3, 3, 6, 3, 3, 3, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 7, 5, 7, 7, 5, 7, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 2, 3, 2, 3, 3, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 2, 6, 2, 2, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 4, 4, 1, 4, 4, 4, 1, 4, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 2, 2, 2, 6, 2, 6, 1, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([5, 3, 3, 3, 5, 3, 3, 3, 5, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 3, 3, 3, 6, 3, 3, 3, 6, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 7, 7, 7, 5, 7, 5, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 2, 3, 2, 2, 3, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 7, 2, 7, 2, 2, 6, 6, 6, 7, 6, 7, 7, 7])\n",
|
||||
" array([1, 4, 4, 4, 4, 1, 1, 1, 4, 4, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 2, 2, 6, 2, 2, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 5, 3, 3, 3, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 6, 3, 3, 6, 3, 3, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 7, 5, 7, 5, 7, 7, 5, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 2, 3, 2, 2, 3, 2, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 6, 6, 2, 2, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([7, 6, 2, 6, 2, 2, 2, 6, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 4, 1, 7, 4, 4, 4, 4, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 7, 5, 7, 5, 7, 1, 1, 1, 1, 1, 5, 7, 7, 7])\n",
|
||||
" array([4, 3, 3, 5, 3, 4, 4, 4, 3, 3, 3, 5, 5, 4, 4, 4])\n",
|
||||
" array([6, 3, 3, 5, 2, 3, 2, 3, 3, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 2, 6, 1, 1, 1, 1, 1, 1, 2, 6, 2, 6, 2, 2])\n",
|
||||
" array([2, 2, 3, 4, 2, 2, 3, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 7, 6, 2, 6, 2, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 1, 4, 4, 4, 7, 4, 1, 4, 1, 4, 4, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 7, 5, 7, 7, 7, 5, 5, 7, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 4, 5, 3, 3, 5, 4, 4, 4, 4, 4, 3, 3, 3, 5])\n",
|
||||
" array([3, 3, 6, 5, 3, 3, 6, 3, 6, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([1, 2, 2, 6, 2, 2, 6, 2, 2, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 3, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 7, 2, 2, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 4, 7, 1, 4, 1, 4, 4, 1, 1, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 7, 7, 5, 7, 5, 7, 7, 7, 1, 1, 1, 1, 1, 5])\n",
|
||||
" array([3, 3, 5, 4, 3, 3, 3, 5, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([5, 6, 3, 3, 3, 6, 3, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 1, 2, 6, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([2, 4, 2, 3, 2, 2, 2, 3, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 7, 2, 2, 6, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 4, 1, 1, 7, 4, 1, 4, 1, 4, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([7, 7, 5, 1, 7, 5, 7, 7, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 5, 3, 4, 3, 5, 3, 3, 3, 5, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 3, 6, 5, 3, 6, 3, 6, 3, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 2, 6, 1, 2, 2, 2, 2, 1, 2, 2, 6, 1, 1, 1, 1])\n",
|
||||
" array([2, 4, 2, 3, 2, 3, 2, 3, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([2, 6, 7, 2, 6, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([4, 4, 1, 7, 4, 4, 1, 4, 1, 4, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 7, 7, 5, 7, 5, 7, 5, 7, 5, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([4, 5, 3, 3, 3, 5, 3, 3, 5, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([5, 6, 3, 3, 3, 6, 6, 3, 3, 6, 3, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 1, 2, 6, 2, 2, 6, 2, 2, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([1, 2, 3, 1, 2, 2, 2, 3, 2, 3, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 2, 2, 6, 6, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 1, 1, 1, 7, 7, 7, 7, 7, 7, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 3, 3, 3, 3, 3, 5, 5, 5, 4, 4, 4, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([5, 2, 2, 6, 3, 3, 3, 3, 6, 6, 3, 3, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 6, 2, 2, 2, 2, 2, 6, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([7, 5, 7, 7, 7, 7, 7, 7, 1, 1, 1, 1, 1, 1, 5, 5])\n",
|
||||
" array([2, 3, 2, 2, 3, 2, 2, 2, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 7, 7, 7, 7, 7, 6, 6, 2, 2])\n",
|
||||
" array([1, 1, 1, 7, 7, 7, 7, 7, 7, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([5, 3, 3, 3, 3, 3, 3, 3, 3, 5, 4, 4, 4, 4, 4, 4, 4, 5, 5, 4, 5, 5,\n",
|
||||
" 4])\n",
|
||||
" array([3, 6, 3, 5, 5, 5, 5, 5, 5, 6, 3, 3, 6, 3, 3])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 6, 2, 6, 2])\n",
|
||||
" array([1, 7, 7, 1, 7, 1, 7, 1, 7, 1, 7, 1, 5, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 3, 2, 2, 3, 2, 3, 2, 2, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 2, 2, 6, 6, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 7, 1, 7, 7, 7, 7, 7, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5])\n",
|
||||
" array([3, 6, 3, 3, 3, 6, 3, 6, 3, 6, 5, 5, 5, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([6, 2, 2, 1, 2, 2, 2, 2, 6, 2, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([7, 1, 1, 7, 7, 7, 7, 7, 1, 1, 1, 1, 1, 5, 5, 5])\n",
|
||||
" array([2, 3, 2, 2, 2, 2, 3, 2, 3, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 6, 2, 2, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 7, 1, 1, 1, 7, 7, 7, 7, 7, 4, 4, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 3, 3, 3, 3, 3, 5, 5, 5, 4, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 6, 3, 3, 6, 3, 3, 6, 3, 6, 3, 6, 5, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 6, 2, 2, 2, 2, 6, 2, 6, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([7, 1, 7, 7, 7, 7, 7, 7, 1, 1, 1, 1, 1, 5, 5])\n",
|
||||
" array([2, 3, 2, 2, 3, 2, 2, 3, 2, 3, 2, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 3, 6, 2, 2, 2, 6, 6, 6, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([1, 7, 7, 7, 7, 7, 7, 1, 1, 4, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 3, 3, 3, 3, 3, 5, 5, 4, 4, 4, 4, 4, 4, 4, 4, 5, 4])\n",
|
||||
" array([3, 6, 3, 3, 3, 3, 3, 6, 5, 5, 5, 5, 5, 5, 5])\n",
|
||||
" array([2, 6, 2, 2, 6, 2, 2, 2, 2, 6, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([7, 7, 1, 7, 7, 7, 7, 1, 1, 1, 1, 1, 5, 5])\n",
|
||||
" array([5, 3, 6, 3, 5, 3, 5, 3, 5, 6, 3, 5, 3, 6, 5])\n",
|
||||
" array([2, 1, 2, 6, 1, 2, 1, 2, 6, 1, 2, 6, 2, 2, 2, 6, 6, 6, 2, 6, 1, 2,\n",
|
||||
" 1])\n",
|
||||
" array([7, 5, 7, 1, 1, 1, 1, 1, 1, 7, 5, 7, 5, 7, 7, 5])\n",
|
||||
" array([2, 2, 3, 3, 3, 2, 2, 3, 4, 4, 4, 4, 4, 2, 2])\n",
|
||||
" array([3, 3, 5, 4, 4, 4, 4, 4, 4, 3, 3, 3, 3, 2, 2, 5, 5])\n",
|
||||
" array([1, 4, 7, 5, 5, 7, 4, 1, 4, 4, 1, 4, 4, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 2, 6, 7, 7, 7, 7, 7, 7, 6, 6, 6, 2, 2, 6])\n",
|
||||
" array([2, 3, 6, 2, 6, 5, 5, 5, 5, 5, 5, 6, 3, 3, 6, 3, 6, 6])\n",
|
||||
" array([2, 6, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 6, 6])\n",
|
||||
" array([7, 5, 7, 1, 1, 1, 1, 1, 1, 1, 1, 1, 7, 5, 7, 5, 7, 7])\n",
|
||||
" array([2, 2, 3, 4, 4, 4, 4, 4, 4, 2, 2, 2, 3, 2, 3, 3, 3, 3, 3, 3, 3])\n",
|
||||
" array([5, 3, 3, 4, 4, 4, 4, 4, 4, 3, 5, 3, 5, 3, 3])\n",
|
||||
" array([1, 4, 4, 7, 7, 4, 1, 7, 4, 7, 4, 1, 7, 4, 7])\n",
|
||||
" array([6, 2, 7, 7, 7, 7, 7, 7, 6, 2, 6, 2])\n",
|
||||
" array([2, 3, 2, 5, 5, 5, 5, 5, 5, 2, 3, 2, 3, 2, 2])\n",
|
||||
" array([2, 2, 6, 1, 2, 2, 2, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([7, 5, 7, 1, 1, 1, 1, 1, 1, 7, 7, 7, 7, 5])\n",
|
||||
" array([2, 3, 4, 2, 4, 4, 4, 4, 4, 2, 3, 2, 2, 2])\n",
|
||||
" array([3, 5, 3, 4, 4, 4, 4, 4, 4, 3, 5, 3, 5, 3, 5, 3])\n",
|
||||
" array([4, 1, 4, 7, 7, 7, 7, 7, 7, 4, 4, 1, 4, 1, 1, 1, 4])\n",
|
||||
" array([6, 2, 7, 7, 7, 7, 7, 7, 2, 2, 6, 6])\n",
|
||||
" array([6, 3, 3, 3, 5, 3, 5, 5, 5, 5, 5, 3, 6, 3, 3, 3])\n",
|
||||
" array([6, 2, 2, 1, 1, 1, 1, 1, 1, 2, 6, 2, 2, 2])\n",
|
||||
" array([7, 5, 7, 1, 7, 7, 1, 1, 1, 1, 1, 7, 7, 7, 5, 7, 5])\n",
|
||||
" array([2, 3, 2, 4, 4, 4, 4, 4, 4, 2, 3, 2, 2, 2, 2])\n",
|
||||
" array([5, 3, 3, 4, 4, 4, 4, 4, 4, 3, 5, 3, 5, 3, 5, 3])\n",
|
||||
" array([4, 1, 4, 7, 7, 7, 7, 7, 7, 4, 1, 1, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 7, 7, 7, 7, 7, 2, 6, 6, 2])\n",
|
||||
" array([6, 3, 3, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 6])\n",
|
||||
" array([6, 2, 2, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 6, 6])\n",
|
||||
" array([7, 5, 7, 1, 1, 1, 1, 1, 1, 7, 5, 7, 5, 7, 7, 5])\n",
|
||||
" array([2, 3, 2, 4, 4, 4, 4, 4, 4, 2, 3, 2, 3, 2, 2])\n",
|
||||
" array([5, 3, 3, 4, 4, 4, 4, 4, 4, 3, 5, 3, 5, 3, 5, 3])\n",
|
||||
" array([4, 1, 4, 7, 7, 7, 7, 7, 7, 4, 1, 4, 1, 1, 4, 4])\n",
|
||||
" array([6, 2, 7, 7, 7, 7, 7, 7, 2, 2, 6, 6])]\n",
|
||||
"y_train\n",
|
||||
" [5. 3. 6. 1. 0. 4. 2. 5. 3. 6. 1. 0. 4. 2. 5. 3. 6. 1. 0. 4. 2. 5. 3. 6.\n",
|
||||
" 1. 0. 4. 2. 5. 3. 6. 1. 0. 4. 2. 4. 5. 3. 2. 0. 1. 6. 4. 5. 3. 2. 0. 1.\n",
|
||||
" 6. 4. 5. 3. 2. 0. 1. 6. 4. 5. 3. 2. 0. 1. 6. 4. 5. 3. 2. 0. 1. 6. 0. 1.\n",
|
||||
" 2. 3. 4. 5. 6. 0. 1. 2. 3. 4. 5. 6. 0. 1. 2. 3. 4. 5. 6. 0. 1. 2. 3. 4.\n",
|
||||
" 5. 6. 0. 1. 2. 3. 4. 5. 6. 2. 3. 6. 4. 0. 5. 1. 2. 3. 6. 4. 0. 5. 1. 2.\n",
|
||||
" 3. 6. 4. 0. 5. 1. 2. 3. 6. 4. 0. 5. 1. 2. 3. 6. 4. 0. 5. 1. 5. 0. 6. 3.\n",
|
||||
" 4. 1. 2. 5. 0. 6. 3. 4. 1. 2. 5. 0. 6. 3. 4. 1. 2. 5. 0. 6. 3. 4. 1. 2.\n",
|
||||
" 5. 0. 6. 3. 4. 1. 2. 0. 2. 1. 4. 3. 6. 5. 0. 2. 1. 4. 3. 6. 5. 0. 2. 1.\n",
|
||||
" 4. 3. 6. 5. 0. 2. 1. 4. 3. 6. 5. 0. 2. 1. 4. 3. 6. 5. 1. 0. 4. 2. 3. 5.\n",
|
||||
" 6. 1. 0. 4. 2. 3. 5. 6. 1. 0. 4. 2. 3. 5. 6. 1. 0. 4. 2. 3. 5. 6. 1. 0.\n",
|
||||
" 4. 2. 3. 5. 6. 6. 2. 4. 0. 5. 1. 3. 6. 2. 4. 0. 5. 1. 3. 6. 2. 4. 0. 5.\n",
|
||||
" 1. 3. 6. 2. 4. 0. 5. 1. 3. 6. 2. 4. 0. 5. 1. 3. 6. 0. 5. 2. 3. 4. 1. 6.\n",
|
||||
" 0. 5. 2. 3. 4. 1. 6. 0. 5. 2. 3. 4. 1. 6. 0. 5. 2. 3. 4. 1. 6. 0. 5. 2.\n",
|
||||
" 3. 4. 1. 6. 4. 5. 0. 2. 1. 3. 6. 4. 5. 0. 2. 1. 3. 6. 4. 5. 0. 2. 1. 3.\n",
|
||||
" 6. 4. 5. 0. 2. 1. 3. 6. 4. 5. 0. 2. 1. 3. 2. 6. 4. 0. 1. 5. 3. 2. 6. 4.\n",
|
||||
" 0. 1. 5. 3. 2. 6. 4. 0. 1. 5. 3. 2. 6. 4. 0. 1. 5. 3. 2. 6. 4. 0. 1. 5.\n",
|
||||
" 3. 3. 4. 0. 1. 6. 2. 5. 3. 4. 0. 1. 6. 2. 5. 3. 4. 0. 1. 6. 2. 5. 3. 4.\n",
|
||||
" 0. 1. 6. 2. 5. 3. 4. 0. 1. 6. 2. 5. 2. 5. 3. 6. 0. 1. 4. 2. 5. 3. 6. 0.\n",
|
||||
" 1. 4. 2. 5. 3. 6. 0. 1. 4. 2. 5. 3. 6. 0. 1. 4. 2. 5. 3. 6. 0. 1. 4. 2.\n",
|
||||
" 5. 3. 0. 1. 4. 6. 2. 5. 3. 0. 1. 4. 6. 2. 5. 3. 0. 1. 4. 6. 2. 5. 3. 0.\n",
|
||||
" 1. 4. 6. 2. 5. 3. 0. 1. 4. 6. 1. 4. 6. 2. 0. 3. 5. 1. 4. 6. 2. 0. 3. 5.\n",
|
||||
" 1. 4. 6. 2. 0. 3. 5. 1. 4. 6. 2. 0. 3. 5. 1. 4. 6. 2. 0. 3. 5.]\n",
|
||||
"x_test\n",
|
||||
" [array([4, 1, 1, 4, 4, 7, 7, 7, 7, 7, 7, 4, 1, 4, 4, 4])\n",
|
||||
" array([2, 3, 2, 4, 4, 4, 4, 4, 4, 2, 2, 2, 3, 2, 3])\n",
|
||||
" array([5, 3, 3, 4, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5])\n",
|
||||
" array([6, 2, 7, 6, 6, 2, 2, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 2, 2, 6, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 3, 6, 5, 3, 3, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 7, 5, 1, 7, 7, 5, 7, 7, 1, 1, 1, 1, 1, 5, 5])\n",
|
||||
" array([1, 4, 7, 4, 4, 4, 4, 4, 1, 1, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 2, 4, 3, 2, 2, 3, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 5, 3, 4, 4, 3, 3, 3, 3, 5, 5, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 2, 2, 7, 7, 7, 6, 6, 7, 6, 6, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 2, 6, 1, 1, 2, 2, 2, 2, 6, 6, 6, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 5, 2, 2, 3, 6, 3, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([1, 5, 7, 7, 7, 5, 7, 5, 7, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([7, 4, 4, 7, 4, 4, 4, 4, 7, 1, 7, 7, 7, 7, 1, 1, 7])\n",
|
||||
" array([2, 3, 2, 4, 2, 3, 2, 2, 2, 4, 4, 4, 4, 4])\n",
|
||||
" array([3, 5, 3, 4, 3, 3, 3, 3, 5, 5, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 7, 7, 7, 7, 7, 2, 2, 6, 6])\n",
|
||||
" array([2, 2, 1, 6, 2, 2, 2, 2, 6, 6, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 5, 3, 3, 3, 3, 6, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 7, 7, 7, 7, 7, 5, 1, 1, 1, 1, 1, 1])\n",
|
||||
" array([4, 1, 4, 4, 4, 4, 4, 1, 1, 1, 7, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 4, 2, 2, 2, 2, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([5, 3, 3, 4, 5, 3, 3, 3, 3, 5, 3, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 6, 6, 2, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 6, 2, 1, 2, 2, 2, 2, 1, 1, 1, 1, 1, 6, 6])\n",
|
||||
" array([3, 6, 3, 5, 3, 3, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([5, 7, 7, 1, 7, 7, 5, 7, 5, 7, 1, 1, 1, 1, 1])\n",
|
||||
" array([1, 4, 4, 7, 7, 4, 4, 4, 4, 1, 1, 7, 7, 7, 7])\n",
|
||||
" array([2, 3, 2, 4, 4, 4, 4, 4, 4, 2, 3, 2, 2, 2])\n",
|
||||
" array([4, 3, 5, 3, 3, 5, 3, 3, 3, 5, 4, 4, 4, 4, 4])\n",
|
||||
" array([6, 2, 7, 6, 6, 6, 2, 7, 7, 7, 7, 7])\n",
|
||||
" array([2, 2, 6, 1, 2, 6, 2, 6, 2, 2, 1, 1, 1, 1, 1])\n",
|
||||
" array([3, 6, 3, 5, 3, 6, 3, 6, 3, 3, 6, 5, 5, 5, 5, 5])\n",
|
||||
" array([7, 5, 7, 1, 7, 5, 1, 1, 1, 1, 1, 7, 7, 7, 5])]\n",
|
||||
"y_test\n",
|
||||
" [3. 2. 0. 5. 4. 1. 6. 3. 2. 0. 5. 4. 1. 6. 3. 2. 0. 5. 4. 1. 6. 3. 2. 0.\n",
|
||||
" 5. 4. 1. 6. 3. 2. 0. 5. 4. 1. 6.]\n",
|
||||
"> \u001b[0;32m/tmp/ipykernel_97850/1264473745.py\u001b[0m(32)\u001b[0;36mcreateTrainTest\u001b[0;34m()\u001b[0m\n",
|
||||
"\u001b[0;32m 30 \u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'y_test\\n'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my_test\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 31 \u001b[0;31m \u001b[0mpdb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m---> 32 \u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mshapes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 33 \u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx_train\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 34 \u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my_train\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"ipdb> x_train.shape\n",
|
||||
"(525,)\n",
|
||||
"ipdb> x_test.shape\n",
|
||||
"(35,)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"accuracies_full = dict()\n",
|
||||
"accuracies_small = dict()\n",
|
||||
"accuracies_last = dict()\n",
|
||||
"\n",
|
||||
"for current_PID in sorted(data.PID.unique()):\n",
|
||||
" accuracies_full[current_PID], pred_label, test_label = runSVMS(createTrainTest([current_PID], Task_IDs, StartIndexOffset, EndIndexOffset, shapes=True))\n",
|
||||
" # Only the first 5\n",
|
||||
" accuracies_small[current_PID], pred_label, test_label = runSVMS(createTrainTest([current_PID], Task_IDs, StartIndexOffset, EndIndexOffset, shapes=True), 5)\n",
|
||||
" # Only the last 5\n",
|
||||
" accuracies_last[current_PID], pred_label, test_label = runSVMS(createTrainTest([current_PID], Task_IDs, StartIndexOffset, EndIndexOffset, shapes=True), 5, last_elements=True)\n",
|
||||
" #pdb.set_trace()\n",
|
||||
"print(accuracies_full)\n",
|
||||
"print(accuracies_small)\n",
|
||||
"print(accuracies_last)\n",
|
||||
"print(\"mean full\", np.array(list(accuracies_full.values())).mean())\n",
|
||||
"print(\"mean small\", np.array(list(accuracies_small.values())).mean())\n",
|
||||
"print(\"mean last\", np.array(list(accuracies_last.values())).mean())"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "fdd4c915",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"len(g.groups.keys())\n",
|
||||
"g.groups.keys()"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"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": "3.9.7"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
|
|
@ -0,0 +1,687 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "3aed8aec",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"2021-09-27 15:31:30.518074: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import pandas as pd\n",
|
||||
"import numpy as np\n",
|
||||
"import datetime\n",
|
||||
"import time,pdb\n",
|
||||
"import json\n",
|
||||
"import random\n",
|
||||
"import statistics\n",
|
||||
"import matplotlib.pyplot as plt\n",
|
||||
"\n",
|
||||
"import tensorflow as tf\n",
|
||||
"from tensorflow import keras\n",
|
||||
"from sklearn import svm\n",
|
||||
"from sklearn.model_selection import GridSearchCV \n",
|
||||
"from sklearn.ensemble import RandomForestClassifier\n",
|
||||
"from sklearn.metrics import accuracy_score\n",
|
||||
"from tensorflow.keras.layers import *\n",
|
||||
"from sklearn.model_selection import train_test_split\n",
|
||||
"from tensorflow.keras.models import Sequential\n",
|
||||
"from tensorflow.keras.optimizers import *\n",
|
||||
"from tensorflow.keras.callbacks import TensorBoard, ModelCheckpoint, ReduceLROnPlateau, Callback\n",
|
||||
"from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
|
||||
"from sklearn.neighbors import KNeighborsClassifier\n",
|
||||
"from sklearn.metrics import mean_squared_error\n",
|
||||
"from sklearn.metrics import accuracy_score\n",
|
||||
"import tqdm\n",
|
||||
"from multiprocessing import Pool\n",
|
||||
"import os\n",
|
||||
"from tensorflow.compat.v1.keras.layers import Bidirectional, CuDNNLSTM"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"id": "817f7108",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"available PIDs [ 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16.]\n",
|
||||
"available TaskIDs [0. 1. 2. 3. 4. 5. 6.]\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"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>Timestamp</th>\n",
|
||||
" <th>Event</th>\n",
|
||||
" <th>TaskID</th>\n",
|
||||
" <th>Part</th>\n",
|
||||
" <th>PID</th>\n",
|
||||
" <th>TextRule</th>\n",
|
||||
" <th>Rule</th>\n",
|
||||
" <th>Type</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>1.575388e+12</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>{'Title': ['1', 'Indent', 'and', 'Italic'], 'S...</td>\n",
|
||||
" <td>3.0</td>\n",
|
||||
" <td>Cmd</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>1.575388e+12</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>{'Title': ['1', 'Indent', 'and', 'Italic'], 'S...</td>\n",
|
||||
" <td>3.0</td>\n",
|
||||
" <td>Toolbar</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>1.575388e+12</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>{'Title': ['1', 'Indent', 'and', 'Italic'], 'S...</td>\n",
|
||||
" <td>3.0</td>\n",
|
||||
" <td>Cmd</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>1.575388e+12</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>{'Title': ['1', 'Indent', 'and', 'Italic'], 'S...</td>\n",
|
||||
" <td>3.0</td>\n",
|
||||
" <td>Cmd</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>1.575388e+12</td>\n",
|
||||
" <td>4</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>1.0</td>\n",
|
||||
" <td>{'Title': ['1', 'Indent', 'and', 'Italic'], 'S...</td>\n",
|
||||
" <td>3.0</td>\n",
|
||||
" <td>Cmd</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>...</th>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>8376</th>\n",
|
||||
" <td>1.603898e+12</td>\n",
|
||||
" <td>7</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>16.0</td>\n",
|
||||
" <td>{'Title': ['Size', 'Big'], 'Subtitle': ['Bold'...</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>Toolbar</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>8377</th>\n",
|
||||
" <td>1.603898e+12</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>16.0</td>\n",
|
||||
" <td>{'Title': ['Size', 'Big'], 'Subtitle': ['Bold'...</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>Cmd</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>8378</th>\n",
|
||||
" <td>1.603898e+12</td>\n",
|
||||
" <td>2</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>16.0</td>\n",
|
||||
" <td>{'Title': ['Size', 'Big'], 'Subtitle': ['Bold'...</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>Cmd</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>8379</th>\n",
|
||||
" <td>1.603898e+12</td>\n",
|
||||
" <td>6</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>16.0</td>\n",
|
||||
" <td>{'Title': ['Size', 'Big'], 'Subtitle': ['Bold'...</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>Toolbar</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>8380</th>\n",
|
||||
" <td>1.603898e+12</td>\n",
|
||||
" <td>6</td>\n",
|
||||
" <td>6.0</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>16.0</td>\n",
|
||||
" <td>{'Title': ['Size', 'Big'], 'Subtitle': ['Bold'...</td>\n",
|
||||
" <td>5.0</td>\n",
|
||||
" <td>Toolbar</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>8381 rows × 8 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" Timestamp Event TaskID Part PID \\\n",
|
||||
"0 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"1 1.575388e+12 1 0.0 1.0 1.0 \n",
|
||||
"2 1.575388e+12 1 0.0 1.0 1.0 \n",
|
||||
"3 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"4 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"... ... ... ... ... ... \n",
|
||||
"8376 1.603898e+12 7 6.0 5.0 16.0 \n",
|
||||
"8377 1.603898e+12 2 6.0 5.0 16.0 \n",
|
||||
"8378 1.603898e+12 2 6.0 5.0 16.0 \n",
|
||||
"8379 1.603898e+12 6 6.0 5.0 16.0 \n",
|
||||
"8380 1.603898e+12 6 6.0 5.0 16.0 \n",
|
||||
"\n",
|
||||
" TextRule Rule Type \n",
|
||||
"0 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"1 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Toolbar \n",
|
||||
"2 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"3 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"4 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"... ... ... ... \n",
|
||||
"8376 {'Title': ['Size', 'Big'], 'Subtitle': ['Bold'... 5.0 Toolbar \n",
|
||||
"8377 {'Title': ['Size', 'Big'], 'Subtitle': ['Bold'... 5.0 Cmd \n",
|
||||
"8378 {'Title': ['Size', 'Big'], 'Subtitle': ['Bold'... 5.0 Cmd \n",
|
||||
"8379 {'Title': ['Size', 'Big'], 'Subtitle': ['Bold'... 5.0 Toolbar \n",
|
||||
"8380 {'Title': ['Size', 'Big'], 'Subtitle': ['Bold'... 5.0 Toolbar \n",
|
||||
"\n",
|
||||
"[8381 rows x 8 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 18,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"study_data_path = \"../IntentData/\"\n",
|
||||
"data = pd.read_pickle(study_data_path + \"/Preprocessing_data/clean_data.pkl\")\n",
|
||||
"#val_data = pd.read_pickle(study_data_path + \"/Preprocessing_data/clean_data_condition2.pkl\")\n",
|
||||
"\n",
|
||||
"print(\"available PIDs\", data.PID.unique())\n",
|
||||
"\n",
|
||||
"print(\"available TaskIDs\", data.TaskID.unique())\n",
|
||||
"\n",
|
||||
"data.Event.unique()\n",
|
||||
"data"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "ab778228",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"count 560.000000\n",
|
||||
"mean 14.966071\n",
|
||||
"std 2.195440\n",
|
||||
"min 8.000000\n",
|
||||
"25% 14.000000\n",
|
||||
"50% 15.000000\n",
|
||||
"75% 16.000000\n",
|
||||
"max 28.000000\n",
|
||||
"Name: Event, dtype: float64"
|
||||
]
|
||||
},
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"data.groupby([\"PID\", \"Part\", \"TaskID\"])[\"Event\"].count().describe()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"id": "32550f71",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"\n",
|
||||
"Task_IDs = list(range(0,7))\n",
|
||||
"\n",
|
||||
"# grouping by part is needed to have one ruleset for the whole part\n",
|
||||
"g = data.groupby([\"PID\", \"Part\", \"TaskID\"])\n",
|
||||
"df_all = []"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "f6fecc2f",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def createTrainTestalaSven(test_IDs, task_IDs, window_size, stride, shapes=False, val_IDs=None):\n",
|
||||
" if not isinstance(test_IDs, list):\n",
|
||||
" raise ValueError(\"Test_IDs are not a list\")\n",
|
||||
" if not isinstance(task_IDs, list):\n",
|
||||
" raise ValueError(\"Task_IDs are not a list\")\n",
|
||||
" # Fill data arrays\n",
|
||||
" all_elem = []\n",
|
||||
" for current in g.groups.keys():\n",
|
||||
" c = g.get_group(current)\n",
|
||||
" if (c.TaskID.isin(task_IDs).all()):\n",
|
||||
" \n",
|
||||
" new_data = c.Event.values\n",
|
||||
" stepper = 0\n",
|
||||
" while stepper <= (len(new_data)-window_size-1):\n",
|
||||
" tmp = new_data[stepper:stepper + window_size]\n",
|
||||
" x = tmp[:-1]\n",
|
||||
" y = tmp[-1]\n",
|
||||
" stepper += stride\n",
|
||||
" \n",
|
||||
" if (c.PID.isin(test_IDs).all()):\n",
|
||||
" all_elem.append([\"Test\", x, y])\n",
|
||||
" elif (c.PID.isin(val_IDs).all()):\n",
|
||||
" all_elem.append([\"Val\", x, y])\n",
|
||||
" else:\n",
|
||||
" all_elem.append([\"Train\", x, y])\n",
|
||||
" df_tmp = pd.DataFrame(all_elem, columns =[\"Split\", \"X\", \"Y\"])\n",
|
||||
" turbo = []\n",
|
||||
" for s in df_tmp.Split.unique():\n",
|
||||
" dfX = df_tmp[df_tmp.Split == s]\n",
|
||||
" max_amount = dfX.groupby([\"Y\"]).count().max().X\n",
|
||||
" for y in dfX.Y.unique():\n",
|
||||
" df_turbotmp = dfX[dfX.Y == y]\n",
|
||||
" turbo.append(df_turbotmp)\n",
|
||||
" turbo.append(df_turbotmp.sample(max_amount-len(df_turbotmp), replace=True))\n",
|
||||
" # if len(df_turbotmp) < max_amount:\n",
|
||||
"\n",
|
||||
" df_tmp = pd.concat(turbo)\n",
|
||||
" x_train, y_train = df_tmp[df_tmp.Split == \"Train\"].X.values, df_tmp[df_tmp.Split == \"Train\"].Y.values\n",
|
||||
" x_test, y_test = df_tmp[df_tmp.Split == \"Test\"].X.values, df_tmp[df_tmp.Split == \"Test\"].Y.values\n",
|
||||
" x_val, y_val = df_tmp[df_tmp.Split == \"Val\"].X.values, df_tmp[df_tmp.Split == \"Val\"].Y.values\n",
|
||||
" \n",
|
||||
" x_train = np.expand_dims(np.stack(x_train), axis=2)\n",
|
||||
" y_train = np.array(y_train)\n",
|
||||
" x_test = np.expand_dims(np.stack(x_test), axis=2)\n",
|
||||
" y_test = np.array(y_test)\n",
|
||||
" if len(x_val) > 0:\n",
|
||||
" x_val = np.expand_dims(np.stack(x_val), axis=2)\n",
|
||||
" y_val = np.array(y_val)\n",
|
||||
" return(x_train, y_train, x_test, y_test, x_val, y_val)\n",
|
||||
" return(x_train, y_train, x_test, y_test)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"id": "b8f92bc1",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def createTrainTest(test_IDs, task_IDs, window_size, stride, shapes=False, val_IDs=None):\n",
|
||||
" if not isinstance(test_IDs, list):\n",
|
||||
" raise ValueError(\"Test_IDs are not a list\")\n",
|
||||
" if not isinstance(task_IDs, list):\n",
|
||||
" raise ValueError(\"Task_IDs are not a list\")\n",
|
||||
" # Fill data arrays\n",
|
||||
" y_train = []\n",
|
||||
" x_train = []\n",
|
||||
" y_test = []\n",
|
||||
" x_test = []\n",
|
||||
" x_val = []\n",
|
||||
" y_val = []\n",
|
||||
" \n",
|
||||
" for current in g.groups.keys():\n",
|
||||
" c = g.get_group(current)\n",
|
||||
" if (c.TaskID.isin(task_IDs).all()):\n",
|
||||
" \n",
|
||||
" new_data = c.Event.values\n",
|
||||
" stepper = 0\n",
|
||||
" while stepper <= (len(new_data)-window_size-1):\n",
|
||||
" tmp = new_data[stepper:stepper + window_size]\n",
|
||||
" pdb.set_trace()\n",
|
||||
" x = tmp[:-1]\n",
|
||||
" y = tmp[-1]\n",
|
||||
" stepper += stride\n",
|
||||
" if (c.PID.isin(test_IDs).all()):\n",
|
||||
" if y == 6:\n",
|
||||
" y_test.append(y)\n",
|
||||
" x_test.append(x)\n",
|
||||
" y_test.append(y)\n",
|
||||
" x_test.append(x)\n",
|
||||
" elif (c.PID.isin(val_IDs).all()):\n",
|
||||
" if y == 6:\n",
|
||||
" y_val.append(y)\n",
|
||||
" x_val.append(x)\n",
|
||||
" y_val.append(y)\n",
|
||||
" x_val.append(x)\n",
|
||||
" else:\n",
|
||||
" if y == 6:\n",
|
||||
" y_train.append(y)\n",
|
||||
" x_train.append(x)\n",
|
||||
" y_train.append(y)\n",
|
||||
" x_train.append(x)\n",
|
||||
" x_train = np.array(x_train)\n",
|
||||
" y_train = np.array(y_train)\n",
|
||||
" x_test = np.array(x_test)\n",
|
||||
" y_test = np.array(y_test)\n",
|
||||
" x_val = np.array(x_val)\n",
|
||||
" y_val = np.array(y_val)\n",
|
||||
" pdb.set_trace()\n",
|
||||
" if (shapes):\n",
|
||||
" print(x_train.shape)\n",
|
||||
" print(y_train.shape)\n",
|
||||
" print(x_test.shape)\n",
|
||||
" print(y_test.shape)\n",
|
||||
" print(x_val.shape)\n",
|
||||
" print(y_val.shape)\n",
|
||||
" print(np.unique(y_test))\n",
|
||||
" print(np.unique(y_train))\n",
|
||||
" if len(x_val) > 0:\n",
|
||||
" return(x_train, y_train, x_test, y_test, x_val, y_val)\n",
|
||||
" return (x_train, y_train, x_test, y_test)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"id": "e56fbc58",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"maxlen = 1000\n",
|
||||
"lens = []\n",
|
||||
"for current in g.groups.keys():\n",
|
||||
" c = g.get_group(current)\n",
|
||||
" lens.append(len(c.Event.values))\n",
|
||||
" maxlen = min(maxlen, len(c.Event.values))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"id": "c02cbdae",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Number of trees in random forest\n",
|
||||
"n_estimators = np.arange(5,100, 5)\n",
|
||||
"# Number of features to consider at every split\n",
|
||||
"max_features = ['sqrt']\n",
|
||||
"# Maximum number of levels in tree\n",
|
||||
"max_depth = np.arange(5,100, 5)\n",
|
||||
"# Minimum number of samples required to split a node\n",
|
||||
"min_samples_split = np.arange(2,10, 1)\n",
|
||||
"# Minimum number of samples required at each leaf node\n",
|
||||
"min_samples_leaf = np.arange(2,5, 1)\n",
|
||||
"# Method of selecting samples for training each tree\n",
|
||||
"bootstrap = [True, False]\n",
|
||||
"\n",
|
||||
"# Create the random grid\n",
|
||||
"param_grid = {'n_estimators': n_estimators,\n",
|
||||
" 'max_features': max_features,\n",
|
||||
" 'max_depth': max_depth,\n",
|
||||
" 'min_samples_split': min_samples_split,\n",
|
||||
" 'min_samples_leaf': min_samples_leaf,\n",
|
||||
" 'bootstrap': bootstrap}\n",
|
||||
"\n",
|
||||
"grid = GridSearchCV(RandomForestClassifier(), param_grid, refit = True, verbose = 0, return_train_score=True) "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"id": "c2bcfe7f",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def doTrainSlideWindowNoPad(currentPid):\n",
|
||||
" print(f\"doTrain: {currentPid}\")\n",
|
||||
" dfs = []\n",
|
||||
" for window_size in range(8, 15): \n",
|
||||
" (x_train, y_train, x_test, y_test) = createTrainTest([currentPid], Task_IDs, window_size, 1, False, [200])\n",
|
||||
" print(f\"doTrain: created TrainTestsplit\")\n",
|
||||
"\n",
|
||||
" # print(\"window_size\", 5, \"PID\", currentPid, \"samples\", x_train.shape[0], \"generated_samples\", \"samples\", x_train_window.shape[0])\n",
|
||||
"\n",
|
||||
" grid.fit(x_train, y_train)\n",
|
||||
" print(\"fitted\")\n",
|
||||
" # y_pred = grid.predict(x_test)\n",
|
||||
"\n",
|
||||
" df_params = pd.DataFrame(grid.cv_results_[\"params\"])\n",
|
||||
" df_params[\"Mean_test\"] = grid.cv_results_[\"mean_test_score\"]\n",
|
||||
" df_params[\"Mean_train\"] = grid.cv_results_[\"mean_train_score\"]\n",
|
||||
" df_params[\"STD_test\"] = grid.cv_results_[\"std_test_score\"]\n",
|
||||
" df_params[\"STD_train\"] = grid.cv_results_[\"std_train_score\"]\n",
|
||||
" df_params['Window_Size'] = window_size\n",
|
||||
" df_params['PID'] = currentPid\n",
|
||||
" # df_params[\"Accuracy\"] = accuracy_score(y_pred, y_test)\n",
|
||||
" dfs.append(df_params)\n",
|
||||
"\n",
|
||||
" return pd.concat(dfs)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 15,
|
||||
"id": "9e3d86f1",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"doTrain: 1\n",
|
||||
"> \u001b[0;32m/tmp/ipykernel_90176/2602038955.py\u001b[0m(23)\u001b[0;36mcreateTrainTest\u001b[0;34m()\u001b[0m\n",
|
||||
"\u001b[0;32m 21 \u001b[0;31m \u001b[0mtmp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstepper\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mstepper\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mwindow_size\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 22 \u001b[0;31m \u001b[0mpdb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m---> 23 \u001b[0;31m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 24 \u001b[0;31m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 25 \u001b[0;31m \u001b[0mstepper\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mstride\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\n",
|
||||
"ipdb> tmp\n",
|
||||
"array([4, 1, 1, 4, 4, 7, 7, 7])\n",
|
||||
"ipdb> new_data\n",
|
||||
"array([4, 1, 1, 4, 4, 7, 7, 7, 7, 7, 7, 4, 1, 4, 4, 4])\n",
|
||||
"ipdb> current\n",
|
||||
"(1.0, 1.0, 0.0)\n",
|
||||
"ipdb> print(c)\n",
|
||||
" Timestamp Event TaskID Part PID \\\n",
|
||||
"0 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"1 1.575388e+12 1 0.0 1.0 1.0 \n",
|
||||
"2 1.575388e+12 1 0.0 1.0 1.0 \n",
|
||||
"3 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"4 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"5 1.575388e+12 7 0.0 1.0 1.0 \n",
|
||||
"6 1.575388e+12 7 0.0 1.0 1.0 \n",
|
||||
"7 1.575388e+12 7 0.0 1.0 1.0 \n",
|
||||
"8 1.575388e+12 7 0.0 1.0 1.0 \n",
|
||||
"9 1.575388e+12 7 0.0 1.0 1.0 \n",
|
||||
"10 1.575388e+12 7 0.0 1.0 1.0 \n",
|
||||
"11 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"12 1.575388e+12 1 0.0 1.0 1.0 \n",
|
||||
"13 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"14 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"15 1.575388e+12 4 0.0 1.0 1.0 \n",
|
||||
"\n",
|
||||
" TextRule Rule Type \n",
|
||||
"0 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"1 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Toolbar \n",
|
||||
"2 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"3 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"4 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"5 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Toolbar \n",
|
||||
"6 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Toolbar \n",
|
||||
"7 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Toolbar \n",
|
||||
"8 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Toolbar \n",
|
||||
"9 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Toolbar \n",
|
||||
"10 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Toolbar \n",
|
||||
"11 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"12 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Toolbar \n",
|
||||
"13 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"14 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"15 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S... 3.0 Cmd \n",
|
||||
"ipdb> print(c.TextRule)\n",
|
||||
"0 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"1 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"2 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"3 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"4 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"5 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"6 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"7 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"8 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"9 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"10 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"11 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"12 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"13 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"14 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"15 {'Title': ['1', 'Indent', 'and', 'Italic'], 'S...\n",
|
||||
"Name: TextRule, dtype: object\n",
|
||||
"ipdb> print(c.Event)\n",
|
||||
"0 4\n",
|
||||
"1 1\n",
|
||||
"2 1\n",
|
||||
"3 4\n",
|
||||
"4 4\n",
|
||||
"5 7\n",
|
||||
"6 7\n",
|
||||
"7 7\n",
|
||||
"8 7\n",
|
||||
"9 7\n",
|
||||
"10 7\n",
|
||||
"11 4\n",
|
||||
"12 1\n",
|
||||
"13 4\n",
|
||||
"14 4\n",
|
||||
"15 4\n",
|
||||
"Name: Event, dtype: int64\n",
|
||||
"ipdb> val\n",
|
||||
"*** NameError: name 'val' is not defined\n",
|
||||
"ipdb> val_IDs\n",
|
||||
"[200]\n",
|
||||
"--KeyboardInterrupt--\n",
|
||||
"\n",
|
||||
"KeyboardInterrupt: Interrupted by user\n",
|
||||
"> \u001b[0;32m/tmp/ipykernel_90176/2602038955.py\u001b[0m(22)\u001b[0;36mcreateTrainTest\u001b[0;34m()\u001b[0m\n",
|
||||
"\u001b[0;32m 20 \u001b[0;31m \u001b[0;32mwhile\u001b[0m \u001b[0mstepper\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mwindow_size\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 21 \u001b[0;31m \u001b[0mtmp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstepper\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mstepper\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mwindow_size\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m---> 22 \u001b[0;31m \u001b[0mpdb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 23 \u001b[0;31m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 24 \u001b[0;31m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\n",
|
||||
"--KeyboardInterrupt--\n",
|
||||
"\n",
|
||||
"KeyboardInterrupt: Interrupted by user\n",
|
||||
"> \u001b[0;32m/tmp/ipykernel_90176/2602038955.py\u001b[0m(23)\u001b[0;36mcreateTrainTest\u001b[0;34m()\u001b[0m\n",
|
||||
"\u001b[0;32m 21 \u001b[0;31m \u001b[0mtmp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstepper\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mstepper\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mwindow_size\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 22 \u001b[0;31m \u001b[0mpdb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m---> 23 \u001b[0;31m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 24 \u001b[0;31m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\u001b[0;32m 25 \u001b[0;31m \u001b[0mstepper\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mstride\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0m\n",
|
||||
"ipdb> q\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"ename": "BdbQuit",
|
||||
"evalue": "",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mBdbQuit\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m/tmp/ipykernel_90176/1128965594.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdoTrainSlideWindowNoPad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[0;32m/tmp/ipykernel_90176/2629087375.py\u001b[0m in \u001b[0;36mdoTrainSlideWindowNoPad\u001b[0;34m(currentPid)\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mdfs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mwindow_size\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m15\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0;34m(\u001b[0m\u001b[0mx_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_test\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcreateTrainTest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcurrentPid\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTask_IDs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwindow_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m200\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"doTrain: created TrainTestsplit\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0;32m/tmp/ipykernel_90176/2602038955.py\u001b[0m in \u001b[0;36mcreateTrainTest\u001b[0;34m(test_IDs, task_IDs, window_size, stride, shapes, val_IDs)\u001b[0m\n\u001b[1;32m 21\u001b[0m \u001b[0mtmp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstepper\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mstepper\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mwindow_size\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0mpdb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 24\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 25\u001b[0m \u001b[0mstepper\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mstride\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0;32m/tmp/ipykernel_90176/2602038955.py\u001b[0m in \u001b[0;36mcreateTrainTest\u001b[0;34m(test_IDs, task_IDs, window_size, stride, shapes, val_IDs)\u001b[0m\n\u001b[1;32m 21\u001b[0m \u001b[0mtmp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstepper\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mstepper\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mwindow_size\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 22\u001b[0m \u001b[0mpdb\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_trace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 24\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 25\u001b[0m \u001b[0mstepper\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mstride\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0;32m~/miniconda3/envs/intentPrediction/lib/python3.9/bdb.py\u001b[0m in \u001b[0;36mtrace_dispatch\u001b[0;34m(self, frame, event, arg)\u001b[0m\n\u001b[1;32m 86\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;31m# None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 87\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mevent\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'line'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 88\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatch_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 89\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mevent\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'call'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 90\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdispatch_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0;32m~/miniconda3/envs/intentPrediction/lib/python3.9/bdb.py\u001b[0m in \u001b[0;36mdispatch_line\u001b[0;34m(self, frame)\u001b[0m\n\u001b[1;32m 111\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstop_here\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbreak_here\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 112\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muser_line\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mframe\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquitting\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mBdbQuit\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 114\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrace_dispatch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 115\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
|
||||
"\u001b[0;31mBdbQuit\u001b[0m: "
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"doTrainSlideWindowNoPad(1)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"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": "3.9.7"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_0.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_0.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_1.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_1.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_2.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_2.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_3.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_3.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_4.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_4.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_5.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_5.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_6.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_action_id_6.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_0.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_0.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_1.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_1.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_2.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_2.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_3.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_3.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_4.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_4.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_5.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_5.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_6.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_data_6.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_0.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_0.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_1.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_1.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_2.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_2.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_3.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_3.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_4.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_4.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_5.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_5.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_6.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/test_label_6.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_0.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_0.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_1.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_1.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_2.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_2.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_3.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_3.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_4.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_4.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_5.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_5.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_6.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_data_6.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_0.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_0.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_1.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_1.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_2.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_2.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_3.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_3.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_4.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_4.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_5.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_5.pkl
Normal file
Binary file not shown.
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_6.pkl
Normal file
BIN
keyboard_and_mouse/dataset/strategy_dataset/train_label_6.pkl
Normal file
Binary file not shown.
Loading…
Add table
Add a link
Reference in a new issue