How to use get_all method in Playwright Python

Best Python code snippet using playwright-python

OrderedList_test.py

Source:OrderedList_test.py Github

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...9 ordered_list = OrderedList(asc=True)10 ordered_list.add(val_1)11 ordered_list.add(val_2)12 ordered_list.add(val_3)13 self.assertEqual(val_1, ordered_list.get_all()[0].value)14 self.assertEqual(val_2, ordered_list.get_all()[1].value)15 self.assertEqual(val_3, ordered_list.get_all()[2].value)16 self.assertEqual(val_1, ordered_list.find(val_1).value)17 self.assertEqual(val_2, ordered_list.find(val_2).value)18 self.assertEqual(val_3, ordered_list.find(val_3).value)19 self.assertEqual(val_1, ordered_list.head.value)20 self.assertEqual(val_3, ordered_list.tail.value)21 self.assertEqual(3, ordered_list.len())22 def test_list_sorted_desc(self):23 val_1 = 1224 val_2 = 5525 val_3 = 10026 ordered_list = OrderedList(asc=False)27 ordered_list.add(val_1)28 ordered_list.add(val_2)29 ordered_list.add(val_3)30 self.assertEqual(val_1, ordered_list.get_all()[2].value)31 self.assertEqual(val_2, ordered_list.get_all()[1].value)32 self.assertEqual(val_3, ordered_list.get_all()[0].value)33 self.assertEqual(val_1, ordered_list.find(val_1).value)34 self.assertEqual(val_2, ordered_list.find(val_2).value)35 self.assertEqual(val_3, ordered_list.find(val_3).value)36 self.assertEqual(val_3, ordered_list.head.value)37 self.assertEqual(val_1, ordered_list.tail.value)38 self.assertEqual(3, ordered_list.len())39 def test_list_text_sorted_asc(self):40 val_1 = ' a'41 val_2 = ' с '42 val_3 = 'b '43 ordered_list = OrderedStringList(asc=True)44 ordered_list.add(val_1)45 ordered_list.add(val_2)46 ordered_list.add(val_3)47 self.assertEqual(val_1, ordered_list.get_all()[0].value)48 self.assertEqual(val_3, ordered_list.get_all()[1].value)49 self.assertEqual(val_2, ordered_list.get_all()[2].value)50 self.assertEqual(val_1, ordered_list.find(val_1).value)51 self.assertEqual(val_2, ordered_list.find(val_2).value)52 self.assertEqual(val_3, ordered_list.find(val_3).value)53 self.assertEqual(val_1, ordered_list.head.value)54 self.assertEqual(val_2, ordered_list.tail.value)55 self.assertEqual(3, ordered_list.len())56 def test_list_text_sorted_desc(self):57 val_1 = ' aaa'58 val_2 = ' aac '59 val_3 = 'aab '60 ordered_list = OrderedStringList(asc=False)61 ordered_list.add(val_1)62 ordered_list.add(val_2)63 ordered_list.add(val_3)64 self.assertEqual(val_2, ordered_list.get_all()[0].value)65 self.assertEqual(val_3, ordered_list.get_all()[1].value)66 self.assertEqual(val_1, ordered_list.get_all()[2].value)67 self.assertEqual(val_1, ordered_list.find(val_1).value)68 self.assertEqual(val_2, ordered_list.find(val_2).value)69 self.assertEqual(val_3, ordered_list.find(val_3).value)70 self.assertEqual(val_2, ordered_list.head.value)71 self.assertEqual(val_1, ordered_list.tail.value)72 self.assertEqual(3, ordered_list.len())73 # comparing testing block74 def test_compare(self):75 node_1 = Node(1)76 node_2 = Node(2)77 node_3 = Node(2)78 ordered_list = OrderedList(asc=True)79 self.assertEqual(1, ordered_list.compare(node_2, node_1))80 self.assertEqual(-1, ordered_list.compare(node_1, node_2))81 self.assertEqual(0, ordered_list.compare(node_3, node_2))82 def test_compare_string(self):83 node_1 = Node(' a')84 node_2 = Node('b')85 node_3 = Node(' ')86 node_4 = Node('a ')87 node_5 = Node('b')88 ordered_list = OrderedStringList(asc=True)89 self.assertEqual(1, ordered_list.compare(node_2, node_1))90 self.assertEqual(-1, ordered_list.compare(node_1, node_2))91 self.assertEqual(0, ordered_list.compare(node_5, node_2))92 self.assertEqual(1, ordered_list.compare(node_4, node_1))93 self.assertEqual(1, ordered_list.compare(node_1, node_3))94 # comparing testing block95 def test_find(self):96 val_1 = 1297 val_2 = 10098 val_3 = 5599 val_4 = -1100 val_5 = 55101 ordered_list = OrderedList(asc=True)102 ordered_list.add(val_1)103 ordered_list.add(val_2)104 ordered_list.add(val_3)105 ordered_list.add(val_4)106 ordered_list.add(val_5)107 self.assertEqual(val_4, ordered_list.get_all()[0].value)108 self.assertEqual(val_1, ordered_list.get_all()[1].value)109 self.assertEqual(val_3, ordered_list.get_all()[2].value)110 self.assertEqual(val_5, ordered_list.get_all()[3].value)111 self.assertEqual(val_2, ordered_list.get_all()[4].value)112 self.assertEqual(val_1, ordered_list.find(val_1).value)113 self.assertEqual(val_2, ordered_list.find(val_2).value)114 self.assertEqual(val_3, ordered_list.find(val_3).value)115 self.assertEqual(val_4, ordered_list.find(val_4).value)116 self.assertEqual(val_5, ordered_list.find(val_5).value)117 self.assertEqual(None, ordered_list.find(15))118 def test_find_string(self):119 val_1 = ' '120 val_2 = ' a'121 val_3 = ' a '122 val_4 = '-14629'123 val_5 = '1'124 val_6 = '2'125 val_7 = 'b'126 ordered_list = OrderedStringList(asc=False)127 ordered_list.add(val_1)128 ordered_list.add(val_2)129 ordered_list.add(val_3)130 ordered_list.add(val_4)131 ordered_list.add(val_5)132 ordered_list.add(val_6)133 ordered_list.add(val_7)134 self.assertEqual(val_7, ordered_list.get_all()[0].value)135 self.assertEqual(val_3, ordered_list.get_all()[1].value)136 self.assertEqual(val_2, ordered_list.get_all()[2].value)137 self.assertEqual(val_6, ordered_list.get_all()[3].value)138 self.assertEqual(val_5, ordered_list.get_all()[4].value)139 self.assertEqual(val_4, ordered_list.get_all()[5].value)140 self.assertEqual(val_1, ordered_list.get_all()[6].value)141 self.assertEqual(val_1, ordered_list.find(val_1).value)142 self.assertEqual(val_2, ordered_list.find(val_2).value)143 self.assertEqual(val_3, ordered_list.find(val_3).value)144 self.assertEqual(val_4, ordered_list.find(val_4).value)145 self.assertEqual(val_5, ordered_list.find(val_5).value)146 self.assertEqual(val_6, ordered_list.find(val_6).value)147 self.assertEqual(val_7, ordered_list.find(val_7).value)148 self.assertEqual(None, ordered_list.find('15'))149 # deleting block150 def test_delete_from_empty(self):151 ordered_list = OrderedList(asc=True)152 self.assertEqual(ordered_list.head, None)153 self.assertEqual(ordered_list.tail, None)154 self.assertEqual(ordered_list.get_all(), [])155 ordered_list.delete(15)156 self.assertEqual(ordered_list.head, None)157 self.assertEqual(ordered_list.tail, None)158 self.assertEqual(ordered_list.get_all(), [])159 def test_delete_none(self):160 val_1 = 12161 val_2 = 55162 val_3 = 100163 ordered_list = OrderedList(asc=True)164 self.assertEqual(ordered_list.head, None)165 self.assertEqual(ordered_list.tail, None)166 self.assertEqual(ordered_list.get_all(), [])167 ordered_list.delete(None)168 self.assertEqual(ordered_list.head, None)169 self.assertEqual(ordered_list.tail, None)170 self.assertEqual(ordered_list.get_all(), [])171 ordered_list.delete(1000)172 self.assertEqual(ordered_list.head, None)173 self.assertEqual(ordered_list.tail, None)174 self.assertEqual(ordered_list.get_all(), [])175 def test_delete_head(self):176 val_1 = 12177 val_2 = 55178 val_3 = 100179 ordered_list = OrderedList(asc=True)180 ordered_list.add(val_1)181 ordered_list.add(val_2)182 ordered_list.add(val_3)183 ordered_list.delete(12)184 self.assertEqual(ordered_list.head.value, val_2)185 self.assertEqual(ordered_list.tail.value, val_3)186 self.assertEqual(ordered_list.get_all()[0].value, val_2)187 self.assertEqual(ordered_list.get_all()[1].value, val_3)188 self.assertEqual(ordered_list.len(), 2)189 ordered_list = OrderedList(asc=False)190 ordered_list.add(val_1)191 ordered_list.add(val_2)192 ordered_list.add(val_3)193 ordered_list.delete(12)194 self.assertEqual(ordered_list.head.value, val_3)195 self.assertEqual(ordered_list.tail.value, val_2)196 self.assertEqual(ordered_list.get_all()[0].value, val_3)197 self.assertEqual(ordered_list.get_all()[1].value, val_2)198 self.assertEqual(ordered_list.len(), 2)199 val_1 = ' a'200 val_2 = ' с '201 val_3 = 'b '202 ordered_list = OrderedStringList(asc=True)203 ordered_list.add(val_1)204 ordered_list.add(val_2)205 ordered_list.add(val_3)206 ordered_list.delete(' a')207 self.assertEqual(ordered_list.head.value, val_3)208 self.assertEqual(ordered_list.tail.value, val_2)209 self.assertEqual(ordered_list.get_all()[0].value, val_3)210 self.assertEqual(ordered_list.get_all()[1].value, val_2)211 self.assertEqual(ordered_list.len(), 2)212 ordered_list = OrderedStringList(asc=False)213 ordered_list.add(val_1)214 ordered_list.add(val_2)215 ordered_list.add(val_3)216 ordered_list.delete(' a')217 self.assertEqual(ordered_list.head.value, val_2)218 self.assertEqual(ordered_list.tail.value, val_3)219 self.assertEqual(ordered_list.get_all()[0].value, val_2)220 self.assertEqual(ordered_list.get_all()[1].value, val_3)221 self.assertEqual(ordered_list.len(), 2)222 def test_delete_tail(self):223 val_1 = 12224 val_2 = 55225 val_3 = 100226 ordered_list = OrderedList(asc=True)227 ordered_list.add(val_1)228 ordered_list.add(val_2)229 ordered_list.add(val_3)230 ordered_list.delete(100)231 self.assertEqual(ordered_list.head.value, val_1)232 self.assertEqual(ordered_list.tail.value, val_2)233 self.assertEqual(ordered_list.get_all()[0].value, val_1)234 self.assertEqual(ordered_list.get_all()[1].value, val_2)235 self.assertEqual(ordered_list.len(), 2)236 ordered_list = OrderedList(asc=False)237 ordered_list.add(val_1)238 ordered_list.add(val_2)239 ordered_list.add(val_3)240 ordered_list.delete(100)241 self.assertEqual(ordered_list.head.value, val_2)242 self.assertEqual(ordered_list.tail.value, val_1)243 self.assertEqual(ordered_list.get_all()[0].value, val_2)244 self.assertEqual(ordered_list.get_all()[1].value, val_1)245 self.assertEqual(ordered_list.len(), 2)246 val_1 = ' a'247 val_2 = ' с '248 val_3 = 'b '249 ordered_list = OrderedStringList(asc=True)250 ordered_list.add(val_1)251 ordered_list.add(val_2)252 ordered_list.add(val_3)253 ordered_list.delete(val_2)254 self.assertEqual(ordered_list.head.value, val_1)255 self.assertEqual(ordered_list.tail.value, val_3)256 self.assertEqual(ordered_list.get_all()[0].value, val_1)257 self.assertEqual(ordered_list.get_all()[1].value, val_3)258 self.assertEqual(ordered_list.len(), 2)259 ordered_list = OrderedStringList(asc=False)260 ordered_list.add(val_1)261 ordered_list.add(val_2)262 ordered_list.add(val_3)263 ordered_list.delete(val_2)264 self.assertEqual(ordered_list.head.value, val_3)265 self.assertEqual(ordered_list.tail.value, val_1)266 self.assertEqual(ordered_list.get_all()[0].value, val_3)267 self.assertEqual(ordered_list.get_all()[1].value, val_1)268 self.assertEqual(ordered_list.len(), 2)269 def test_delete_middle(self):270 val_1 = 12271 val_2 = 55272 val_3 = 100273 ordered_list = OrderedList(asc=True)274 ordered_list.add(val_1)275 ordered_list.add(val_2)276 ordered_list.add(val_3)277 ordered_list.delete(val_2)278 self.assertEqual(ordered_list.head.value, val_1)279 self.assertEqual(ordered_list.tail.value, val_3)280 self.assertEqual(ordered_list.get_all()[0].value, val_1)281 self.assertEqual(ordered_list.get_all()[1].value, val_3)282 self.assertEqual(ordered_list.find(val_2), None)283 self.assertEqual(ordered_list.len(), 2)284 ordered_list = OrderedList(asc=False)285 ordered_list.add(val_1)286 ordered_list.add(val_2)287 ordered_list.add(val_3)288 ordered_list.delete(val_2)289 self.assertEqual(ordered_list.head.value, val_3)290 self.assertEqual(ordered_list.tail.value, val_1)291 self.assertEqual(ordered_list.get_all()[0].value, val_3)292 self.assertEqual(ordered_list.get_all()[1].value, val_1)293 self.assertEqual(ordered_list.find(val_2), None)294 self.assertEqual(ordered_list.len(), 2)295 val_1 = ' a'296 val_2 = ' с '297 val_3 = 'b '298 ordered_list = OrderedStringList(asc=True)299 ordered_list.add(val_1)300 ordered_list.add(val_2)301 ordered_list.add(val_3)302 ordered_list.delete(val_3)303 self.assertEqual(ordered_list.head.value, val_1)304 self.assertEqual(ordered_list.tail.value, val_2)305 self.assertEqual(ordered_list.get_all()[0].value, val_1)306 self.assertEqual(ordered_list.get_all()[1].value, val_2)307 self.assertEqual(ordered_list.find(val_3), None)308 self.assertEqual(ordered_list.len(), 2)309 ordered_list = OrderedStringList(asc=False)310 ordered_list.add(val_1)311 ordered_list.add(val_2)312 ordered_list.add(val_3)313 ordered_list.delete(val_3)314 self.assertEqual(ordered_list.head.value, val_2)315 self.assertEqual(ordered_list.tail.value, val_1)316 self.assertEqual(ordered_list.get_all()[0].value, val_2)317 self.assertEqual(ordered_list.get_all()[1].value, val_1)318 self.assertEqual(ordered_list.find(val_3), None)319 self.assertEqual(ordered_list.len(), 2)320 def test_del_equal(self):321 val_1 = 0322 val_2 = 2323 val_3 = 1324 val_4 = 1325 val_5 = 2326 val_6 = 1327 val_7 = 0328 ordered_list = OrderedList(asc=True)329 ordered_list.add(val_1)330 ordered_list.add(val_2)331 ordered_list.add(val_3)332 ordered_list.add(val_4)333 ordered_list.add(val_5)334 ordered_list.add(val_6)335 ordered_list.add(val_7)336 ordered_list.delete(1)337 self.assertEqual(ordered_list.head.value, val_1)338 self.assertEqual(ordered_list.tail.value, val_5)339 self.assertEqual(ordered_list.get_all()[0].value, val_1)340 self.assertEqual(ordered_list.get_all()[3].value, val_6)341 self.assertEqual(ordered_list.get_all()[-1].value, val_5)342 self.assertEqual(ordered_list.len(), 6)343 ordered_list.delete(2)344 self.assertEqual(ordered_list.head.value, val_1)345 self.assertEqual(ordered_list.tail.value, val_5)346 self.assertEqual(ordered_list.get_all()[0].value, val_1)347 self.assertEqual(ordered_list.get_all()[3].value, val_6)348 self.assertEqual(ordered_list.get_all()[-1].value, val_5)349 self.assertEqual(ordered_list.len(), 5)350 ordered_list.delete(2)351 self.assertEqual(ordered_list.head.value, val_1)352 self.assertEqual(ordered_list.tail.value, val_6)353 self.assertEqual(ordered_list.get_all()[0].value, val_1)354 self.assertEqual(ordered_list.get_all()[3].value, val_6)355 self.assertEqual(ordered_list.get_all()[-1].value, val_6)356 self.assertEqual(ordered_list.len(), 4)357 ordered_list.delete(1)358 self.assertEqual(ordered_list.head.value, val_1)359 self.assertEqual(ordered_list.tail.value, val_6)360 self.assertEqual(ordered_list.get_all()[0].value, val_1)361 self.assertEqual(ordered_list.get_all()[1].value, val_7)362 self.assertEqual(ordered_list.get_all()[-1].value, val_6)363 self.assertEqual(ordered_list.len(), 3)364 ordered_list.delete(0)365 self.assertEqual(ordered_list.head.value, val_7)366 self.assertEqual(ordered_list.tail.value, val_6)367 self.assertEqual(ordered_list.get_all()[0].value, val_7)368 self.assertEqual(ordered_list.get_all()[-1].value, val_6)369 self.assertEqual(ordered_list.len(), 2)370 ordered_list.delete(1)371 self.assertEqual(ordered_list.head.value, val_7)372 self.assertEqual(ordered_list.tail.value, val_7)373 self.assertEqual(ordered_list.get_all()[0].value, val_7)374 self.assertEqual(ordered_list.len(), 1)375 def del_one(self):376 val_1 = 12377 ordered_list = OrderedList(asc=True)378 ordered_list.add(val_1)379 ordered_list.delete(12)380 self.assertEqual(ordered_list.head, None)381 self.assertEqual(ordered_list.tail, None)382 self.assertEqual(ordered_list.get_all(), [])383 self.assertEqual(ordered_list.len(), 0)384 # cleaning block385 def test_clean(self):386 val_1 = 12387 val_2 = 55388 val_3 = 100389 ordered_list = OrderedList(asc=True)390 ordered_list.add(val_1)391 ordered_list.add(val_2)392 ordered_list.add(val_3)393 ordered_list.clean(asc=True)394 self.assertEqual(ordered_list.len(), 0)395 self.assertEqual(ordered_list.head, None)396 self.assertEqual(ordered_list.tail, None)...

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adult_fair_classification.py

Source:adult_fair_classification.py Github

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1import os2from itertools import product3import numpy as np4import pandas as pd5from cvxopt import matrix, solvers6from sklearn.linear_model import LinearRegression7from sklearn.linear_model import LogisticRegression8from sklearn.metrics import accuracy_score9from sklearn.svm import SVC10from adult_detect import detect_after_remove11from model.dataset import DataSet12from model.loadxml import load_xml_to_cbn13from model.variable import Event14from model.variable import Variable15src_path = os.path.dirname (os.path.realpath (__file__))16yt_pos = 117spos = 118sneg = 019tau = 0.050 - 0.001020def method0(acc_matrix):21 """22 use all information, regardless fairness23 :return:24 """25 train_df = pd.read_csv (os.path.join (src_path, '../data/adult/adult_binary_train.csv'))26 test_df = pd.read_csv (os.path.join (src_path, '../data/adult/adult_binary_test.csv'))27 x = train_df[['age', 'sex', 'workclass', 'education', 'marital-status', 'hours']].values28 y = train_df['income'].values29 acc = []30 for name, clf in zip (['LR', 'SVM'], [LogisticRegression (penalty='l2', solver='liblinear'), SVC (kernel='poly', gamma='auto')]):31 clf.fit (x, y)32 train_df[name] = clf.predict (train_df[['age', 'sex', 'workclass', 'education', 'marital-status', 'hours']].values)33 test_df[name] = clf.predict (test_df[['age', 'sex', 'workclass', 'education', 'marital-status', 'hours']].values)34 acc.append (accuracy_score (train_df['income'], train_df[name]))35 acc.append (accuracy_score (test_df['income'], test_df[name]))36 acc_matrix.iloc[:, 0] = acc37 train_df.to_csv (os.path.join ('temp/adult_binary_train_prediction0.csv'), index=False)38 test_df.to_csv (os.path.join ('temp/adult_binary_test_prediction0.csv'), index=False)39def method1(acc_matrix):40 """41 we only use the non-descendants of S42 :return:43 """44 train_df = pd.read_csv (os.path.join (src_path, '../data/adult/adult_binary_train.csv'))45 test_df = pd.read_csv (os.path.join (src_path, '../data/adult/adult_binary_test.csv'))46 x = train_df[['age', 'education']].values47 y = train_df['income'].values48 acc = []49 for name, clf in zip (['LR', 'SVM'], [LogisticRegression (penalty='l2', solver='liblinear'), SVC (kernel='poly', gamma='auto')]):50 clf.fit (x, y)51 train_df[name] = clf.predict (train_df[['age', 'education']].values)52 test_df[name] = clf.predict (test_df[['age', 'education']].values)53 acc.append (accuracy_score (train_df['income'], train_df[name]))54 acc.append (accuracy_score (test_df['income'], test_df[name]))55 acc_matrix.iloc[:, 1] = acc56 test_df.to_csv ('temp/adult_binary_test_prediction1.csv', index=False)57def method2(acc_matrix):58 train_df = pd.read_csv (os.path.join (src_path, '../data/adult/adult_binary_train.csv'))59 test_df = pd.read_csv (os.path.join (src_path, '../data/adult/adult_binary_test.csv'))60 cbn = load_xml_to_cbn (os.path.join (src_path, '../data/adult/adult.xml'))61 # estimate residual error for the descendants62 for att in ['marital-status', 'workclass', 'hours']:63 att_index = cbn.v.name_dict[att].index64 parents_index = cbn.index_graph.pred[att_index].keys ()65 parents = [cbn.v[i].name for i in parents_index]66 regression = LinearRegression ()67 regression.fit (train_df[parents], train_df[att])68 train_df[att + '-error'] = train_df[att] - regression.predict (train_df[parents])69 test_df[att + '-error'] = test_df[att] - regression.predict (test_df[parents])70 x = train_df[['age', 'education'] + [att + '-error' for att in ['marital-status', 'workclass', 'hours']]].values71 y = train_df['income'].values72 acc = []73 # build classifiers using residual errors74 for name, clf in zip (['LR', 'SVM'], [LogisticRegression (penalty='l2', solver='liblinear'), SVC (kernel='poly', gamma='auto')]):75 clf.fit (x, y)76 train_df[name] = clf.predict (train_df[['age', 'education'] + [att + '-error' for att in ['marital-status', 'workclass', 'hours']]].values)77 test_df[name] = clf.predict (test_df[['age', 'education'] + [att + '-error' for att in ['marital-status', 'workclass', 'hours']]].values)78 acc.append (accuracy_score (train_df['income'], train_df[name]))79 acc.append (accuracy_score (test_df['income'], test_df[name]))80 acc_matrix.iloc[:, 2] = acc81 test_df.drop ([att + '-error' for att in ['marital-status', 'workclass', 'hours']], axis=1)82 test_df.to_csv ('temp/adult_binary_test_prediction2.csv', index=False)83def method3(acc_matrix):84 df_train = pd.read_csv ('temp/adult_binary_train_prediction0.csv')85 # df_train = pd.concat ([df_train] * 10, ignore_index=True)86 train = DataSet (df_train)87 df_test = pd.read_csv ('temp/adult_binary_test_prediction0.csv')88 df_test = pd.concat ([df_test] * 3, ignore_index=True)89 test = DataSet (df_test)90 acc = []91 for name in ['LR', 'SVM']:92 probabilistic_cbn = load_xml_to_cbn (os.path.join (src_path, '../data/adult/adult.xml'))93 def find_condition_prob(e, t):94 return probabilistic_cbn.find_prob (e, t)95 def get_loc(e):96 return probabilistic_cbn.get_loc (e)97 A1 = probabilistic_cbn.v['age']98 A2 = probabilistic_cbn.v['education']99 S = probabilistic_cbn.v['sex']100 M1 = probabilistic_cbn.v['workclass']101 M2 = probabilistic_cbn.v['marital-status']102 N = probabilistic_cbn.v['hours']103 Y = probabilistic_cbn.v['income']104 YH = Variable (name=name, index=Y.index + 1, domains=Y.domains)105 probabilistic_cbn.v[(YH.index, YH.name)] = YH106 YT = Variable (name=name + "M", index=Y.index + 2, domains=Y.domains)107 probabilistic_cbn.v[(YT.index, YT.name)] = YT108 # build linear loss function109 C_vector = np.zeros ((2 ** 8 + 2 ** 8 // 4, 1))110 for a1, a2, n, m1, m2, s in product (A1.domains.get_all (), A2.domains.get_all (), N.domains.get_all (), M1.domains.get_all (), M2.domains.get_all (),111 S.domains.get_all ()):112 p_x_s = train.get_marginal_prob (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}))113 p_yh_1_y = p_x_s * train.count (Event ({Y: 0, YH: 0}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}), 'notequal')114 loc = get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: 0, YT: 0}))115 C_vector[loc] = p_yh_1_y * train.get_conditional_prob (Event ({YH: 0}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}))116 loc = get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: 1, YT: 1}))117 C_vector[loc] = p_yh_1_y * train.get_conditional_prob (Event ({YH: 1}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}))118 p_yh__y = p_x_s * train.count (Event ({Y: 0, YH: 0}), Event ({A1: a1, A2: a2, M1: m1, M2: m2, N: n, S: s}), 'equal')119 loc = get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: 0, YT: 1}))120 C_vector[loc] = p_yh__y * train.get_conditional_prob (Event ({YH: 0}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}))121 loc = get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: 1, YT: 0}))122 C_vector[loc] = p_yh__y * train.get_conditional_prob (Event ({YH: 1}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}))123 # the inequality of max and min124 G_matrix_1 = np.zeros ((2 ** 8, 2 ** 8 + 2 ** 8 // 4))125 h_1 = np.zeros (2 ** 8)126 # max127 i = 0128 for a1, a2, n, s, yt in product (A1.domains.get_all (), A2.domains.get_all (), N.domains.get_all (), S.domains.get_all (), YT.domains.get_all ()):129 for m1, m2 in product (M1.domains.get_all (), M2.domains.get_all ()):130 for yh in YH.domains.get_all ():131 loc = get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: yh, YT: yt}))132 G_matrix_1[i, loc] = train.get_conditional_prob (Event ({YH: yh}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}))133 loc = get_loc (Event ({A1: a1, A2: a2, N: n, S: s, YT: yt}))134 G_matrix_1[i, 2 ** 8 + loc] = -1135 i += 1136 # min137 assert i == 2 ** 8 // 2138 for a1, a2, n, s, yt in product (A1.domains.get_all (), A2.domains.get_all (), N.domains.get_all (), S.domains.get_all (), YT.domains.get_all ()):139 for m1, m2 in product (M1.domains.get_all (), M2.domains.get_all ()):140 for yh in YH.domains.get_all ():141 loc = get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: yh, YT: yt}))142 G_matrix_1[i, loc] = -train.get_conditional_prob (Event ({YH: yh}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}))143 loc = get_loc (Event ({A1: a1, A2: a2, N: n, S: s, YT: yt}))144 G_matrix_1[i, 2 ** 8 + 2 ** 8 // 8 + loc] = 1145 i += 1146 # build counterfactual fairness constraints147 G_matrix_2 = np.zeros ((2 ** 4 * 2, 2 ** 8 + 2 ** 8 // 4))148 h_2 = np.ones (2 ** 4 * 2) * tau149 i = 0150 for a1, a2, m1, m2 in product (A1.domains.get_all (), A2.domains.get_all (), M1.domains.get_all (), M2.domains.get_all ()):151 for n in N.domains.get_all ():152 loc = get_loc (Event ({A1: a1, A2: a2, N: n, S: spos, YT: yt_pos}))153 G_matrix_2[i, 2 ** 8 + loc] = find_condition_prob (Event ({N: n}), Event ({A1: a1, A2: a2, M1: m1, M2: m2, S: spos}))154 for yh in YH.domains.get_all ():155 loc = get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: sneg, YH: yh, YT: yt_pos}))156 G_matrix_2[i, loc] = -find_condition_prob (Event ({N: n}), Event ({A1: a1, A2: a2, M1: m1, M2: m2, S: sneg})) \157 * train.get_conditional_prob (Event ({YH: yh}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: sneg}))158 i += 1159 assert i == 2 ** 4160 for a1, a2, m1, m2 in product (A1.domains.get_all (), A2.domains.get_all (), M1.domains.get_all (), M2.domains.get_all ()):161 for n in N.domains.get_all ():162 loc = get_loc (Event ({A1: a1, A2: a2, N: n, S: spos, YT: yt_pos}))163 G_matrix_2[i, 2 ** 8 + 2 ** 8 // 8 + loc] = -find_condition_prob (Event ({N: n}), Event ({A1: a1, A2: a2, M1: m1, M2: m2, S: spos}))164 for yh in YH.domains.get_all ():165 loc = get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: sneg, YH: yh, YT: yt_pos}))166 G_matrix_2[i, loc] = find_condition_prob (Event ({N: n}), Event ({A1: a1, A2: a2, M1: m1, M2: m2, S: sneg})) \167 * train.get_conditional_prob (Event ({YH: yh}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: sneg}))168 i += 1169 ###########170 # mapping in [0, 1]171 G_matrix_3 = np.zeros ((2 * (2 ** 8 + 2 ** 8 // 4), 2 ** 8 + 2 ** 8 // 4))172 h_3 = np.zeros (2 * (2 ** 8 + 2 ** 8 // 4))173 for i in range (2 ** 8 + 2 ** 8 // 4):174 G_matrix_3[i, i] = 1175 h_3[i] = 1176 G_matrix_3[2 ** 8 + 2 ** 8 // 4 + i, i] = -1177 h_3[2 ** 8 + 2 ** 8 // 4 + i] = 0178 # sum = 1179 A_matrix = np.zeros ((2 ** 8 // 2, 2 ** 8 + 2 ** 8 // 4))180 b = np.ones (2 ** 8 // 2)181 i = 0182 for a1, a2, n, m1, m2, s, yh in product (A1.domains.get_all (), A2.domains.get_all (), N.domains.get_all (), M1.domains.get_all (), M2.domains.get_all (),183 S.domains.get_all (),184 YH.domains.get_all ()):185 for yt in YT.domains.get_all ():186 A_matrix[i, get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: yh, YT: yt}))] = 1187 i += 1188 assert i == 2 ** 8 // 2189 # combine the inequality constraints190 G_matrix = np.vstack ([G_matrix_1, G_matrix_2, G_matrix_3])191 h = np.hstack ([h_1, h_2, h_3])192 # Test193 # print (np.linalg.matrix_rank (A_matrix), A_matrix.shape[0])194 # print (np.linalg.matrix_rank (np.vstack ([A_matrix, G_matrix])), A_matrix.shape[1])195 # def check():196 # sol = np.zeros (2 ** 8 + 2 ** 8 // 4)197 # for a1, a2, n, m1, m2, s, yh, yt in product (A1.domains.get_all (), A2.domains.get_all (), N.domains.get_all (), M1.domains.get_all (), M2.domains.get_all (),198 # S.domains.get_all (), YH.domains.get_all (), YT.domains.get_all ()):199 # if yh.name == yt.name:200 # sol[get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: yh, YT: yt}))] = 1.0201 # else:202 # sol[get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: yh, YT: yt}))] = 0.0203 #204 # for a1, a2, n, s, yt in product (A1.domains.get_all (), A2.domains.get_all (), N.domains.get_all (), S.domains.get_all (), YT.domains.get_all ()):205 # p_min = 1206 # p_max = 0207 # for m1, m2 in product (M1.domains.get_all (), M2.domains.get_all ()):208 # p = 0.0209 # for yh in YH.domains.get_all ():210 # p = train.get_conditional_prob (Event ({YH: yh}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s})) \211 # * sol[get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: yh, YT: yt}))]212 # if p < p_min:213 # p_min = p214 # if p > p_max:215 # p_max = p216 # loc = get_loc (Event ({A1: a1, A2: a2, N: n, S: s, YT: yt}))217 # sol[2 ** 8 + loc] = p_max218 # sol[2 ** 8 + 2 ** 8 // 8 + loc] = p_min219 #220 # np.dot (G_matrix_2, sol)221 # check ()222 # solver223 solvers.options['show_progress'] = False224 sol = solvers.lp (c=matrix (C_vector),225 G=matrix (G_matrix),226 h=matrix (h),227 A=matrix (A_matrix),228 b=matrix (b),229 solver=solvers230 )231 mapping = np.array (sol['x'])232 # build the post-processing result in training and testing233 train.df.loc[:, name + 'M'] = train.df[name]234 test.df[name + 'M'] = test.df[name]235 for a1, a2, n, m1, m2, s, yh, yt in product (A1.domains.get_all (), A2.domains.get_all (), N.domains.get_all (), M1.domains.get_all (), M2.domains.get_all (),236 S.domains.get_all (), YH.domains.get_all (), YT.domains.get_all ()):237 if yh.name != yt.name:238 p = mapping[get_loc (Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s, YH: yh, YT: yt})), 0]239 train.random_assign (Event ({YH: yh, A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}), Event ({YT: yt}), p)240 test.random_assign (Event ({YH: yh, A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}), Event ({YT: yt}), p)241 train.df[name] = train.df[name + 'M']242 train.df.drop ([name + 'M'], axis=1)243 test.df[name] = test.df[name + 'M']244 test.df.drop ([name + 'M'], axis=1)245 acc.append (accuracy_score (train.df[name], train.df[Y.name]))246 acc.append (accuracy_score (test.df[name], test.df[Y.name]))247 acc_matrix.iloc[:, 3] = acc248 train.df.to_csv ('temp/adult_binary_train_prediction3.csv', index=False)249 test.df.to_csv ('temp/adult_binary_test_prediction3.csv', index=False)250def detect_classifier(ce_matrix):251 cbn = load_xml_to_cbn (os.path.join (src_path, '../data/adult/adult.xml'))252 A1 = cbn.v['age']253 A2 = cbn.v['education']254 S = cbn.v['sex']255 M1 = cbn.v['workclass']256 M2 = cbn.v['marital-status']257 N = cbn.v['hours']258 Y = cbn.v['income']259 for i in [0, 1, 2, 3]: # two datasets generated by two methods260 test = DataSet (pd.read_csv ('temp/adult_binary_test_prediction%d.csv' % i))261 for j, label in enumerate (['LR', 'SVM']): # two classifiers262 # modify cpt of label before detect263 for a1, a2, n, m1, m2, s, y in product (A1.domains.get_all (), A2.domains.get_all (), N.domains.get_all (), M1.domains.get_all (), M2.domains.get_all (),264 S.domains.get_all (), Y.domains.get_all ()):265 cbn.set_conditional_prob (Event ({Y: y}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s}),266 test.get_conditional_prob (Event ({label: y}), Event ({A1: a1, A2: a2, N: n, M1: m1, M2: m2, S: s})))267 cbn.build_joint_table ()268 for k, (a1prime, a2prime, m1prime, m2prime) in enumerate (product ([0, 1], [0, 1], [0, 1], [0, 1])):269 p_u, p_l = detect_after_remove (cbn=cbn, s=spos, sprime=sneg, y=1, a1prime=a1prime, a2prime=a2prime, m1prime=m1prime, m2prime=m2prime)270 p = detect_after_remove (cbn=cbn, s=sneg, sprime=sneg, y=1, a1prime=a1prime, a2prime=a2prime, m1prime=m1prime, m2prime=m2prime)271 ce_matrix.iloc[j * 32 + k, 2 * i:2 * i + 2] = [p_u - p, p_l - p]272 for k, (a1prime, a2prime, m1prime, m2prime) in enumerate (product ([0, 1], [0, 1], [0, 1], [0, 1])):273 p_u, p_l = detect_after_remove (cbn=cbn, s=sneg, sprime=spos, y=1, a1prime=a1prime, a2prime=a2prime, m1prime=m1prime, m2prime=m2prime)274 p = detect_after_remove (cbn=cbn, s=spos, sprime=spos, y=1, a1prime=a1prime, a2prime=a2prime, m1prime=m1prime, m2prime=m2prime)275 ce_matrix.iloc[j * 32 + k + 16, 2 * i:2 * i + 2] = [p_u - p, p_l - p]276if __name__ == '__main__':277 # preprocessing ()278 acc_matrix = pd.DataFrame (np.zeros ((4, 4)), columns=['BL', 'A1', 'A3', 'CF'])279 method0 (acc_matrix)280 method1 (acc_matrix)281 method2 (acc_matrix)282 method3 (acc_matrix)283 print (acc_matrix.round (5))284 ce_matrix = pd.DataFrame (data=np.zeros ((4 * 16, 2 * 4)), columns=['|- ub', 'lb -|'] * 4)285 detect_classifier (ce_matrix)286 pd.set_option ('display.max_columns', 8)287 pd.set_option ('display.max_rows', 64)288 ce_matrix = ce_matrix.drop (range (16, 32)).drop (range (48, 64))289 ce_matrix.to_csv ('output/adult_fair_classification_result.csv', index=False)...

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preprocessing.py

Source:preprocessing.py Github

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...129 W = complete_cbn.v['W']130 A = complete_cbn.v['A']131 Y_hat = complete_cbn.v['Y']132 print('Generate using conditional cpts')133 for s in S.domains.get_all():134 p = 0.0135 for us in US.domains.get_all():136 p = p + complete_cbn.get_prob(Event({S: s}), Event({US: us})) * complete_cbn.get_prob(Event({US: us}), Event({}))137 print(p)138 print()139 for s, w in product(S.domains.get_all(), W.domains.get_all()):140 p = 0.0141 for uw in UW.domains.get_all():142 p = p + complete_cbn.get_prob(Event({W: w}), Event({UW: uw, S: s})) * complete_cbn.get_prob(Event({UW: uw}), Event({}))143 print(p)144 print()145 for w, a in product(W.domains.get_all(), A.domains.get_all()):146 p = 0.0147 for ua in UA.domains.get_all():148 p = p + complete_cbn.get_prob(Event({A: a}), Event({UA: ua, W: w})) * complete_cbn.get_prob(Event({UA: ua}), Event({}))149 print(p)150 print()151 for s, w, a, y in product(S.domains.get_all(), W.domains.get_all(), A.domains.get_all(), Y_hat.domains.get_all()):152 p = 0.0153 for uy in UY.domains.get_all():154 p = p + complete_cbn.get_prob(Event({Y_hat: y}), Event({UY: uy, S: s, W: w, A: a})) * complete_cbn.get_prob(Event({UY: uy}), Event({}))155 print(p)156 print()157 print()158 print('Generate using joint cpt')159 complete_cbn.build_joint_table()160 for s in S.domains.get_all():161 print(complete_cbn.get_prob(Event({S: s})))162 print()163 for s, w in product(S.domains.get_all(), W.domains.get_all()):164 print(complete_cbn.get_prob(Event({W: w}), Event({S: s})))165 print()166 for w, a in product(W.domains.get_all(), A.domains.get_all()):167 print(complete_cbn.get_prob(Event({A: a}), Event({W: w})))168 print()169 for s, w, a, y in product(S.domains.get_all(), W.domains.get_all(), A.domains.get_all(), Y_hat.domains.get_all()):170 print(complete_cbn.get_prob(Event({Y_hat: y}), Event({S: s, W: w, A: a})))171 print()172 print()173 partial_cbn = load_xml_to_cbn(partial_model)174 partial_cbn.build_joint_table()175 S = partial_cbn.v['S']176 W = partial_cbn.v['W']177 A = partial_cbn.v['A']178 Y_hat = partial_cbn.v['Y']179 print('Generate using partial SCM')180 for s in S.domains.get_all():181 print(partial_cbn.get_prob(Event({S: s}), Event({})))182 print()183 for s, w in product(S.domains.get_all(), W.domains.get_all()):184 print(partial_cbn.get_prob(Event({W: w}), Event({S: s})))185 print()186 for w, a in product(W.domains.get_all(), A.domains.get_all()):187 print(partial_cbn.get_prob(Event({A: a}), Event({W: w})))188 print()189 for s, w, a, y in product(S.domains.get_all(), W.domains.get_all(), A.domains.get_all(), Y_hat.domains.get_all()):190 print(partial_cbn.get_prob(Event({Y_hat: y}), Event({S: s, W: w, A: a})))191 print()192 print()193# the following code is designed for testing and may not work in final version194if __name__ == '__main__':195 data_dir = '../data/demo/'196 temp_dir = '../temp/demo/'197 preprocess(data_dir, temp_dir, seed=0)198 complete_model = data_dir + 'complete_model.xml'199 partial_model = data_dir + 'observed_model.xml'...

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test_global_vendor_point_record_repository.py

Source:test_global_vendor_point_record_repository.py Github

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...18 johnson_site_id = Mock()19 johnson_fqr = Mock()20 table_mock = self.uow.tables.global_vendor_point_records21 self.repo.get_all_for_johnson_point(johnson_site_id, johnson_fqr)22 # table.get_all()23 table_mock.get_all.assert_called_with([johnson_site_id, johnson_fqr], index='johnson')24 return_value = table_mock.get_all.return_value25 self.uow.run_list.assert_called_with(return_value)26 def test_get_all_for_fieldserver(self):27 fieldserver_site_id = Mock()28 fieldserver_offset = Mock()29 table_mock = self.uow.tables.global_vendor_point_records30 self.repo.get_all_for_fieldserver_point(fieldserver_site_id, fieldserver_offset)31 # table.get_all()32 table_mock.get_all.assert_called_with([fieldserver_site_id, fieldserver_offset], index='fieldserver')33 return_value = table_mock.get_all.return_value34 self.uow.run_list.assert_called_with(return_value)35 def test_get_all_for_invensys_point(self):36 invensys_site_name = Mock()37 invensys_equipment_name = Mock()38 invensys_meter_name = Mock()39 table_mock = self.uow.tables.global_vendor_point_records40 self.repo.get_all_for_invensys_point(invensys_site_name, invensys_equipment_name, invensys_meter_name)41 # table,get_all42 table_mock.get_all.assert_called_with([invensys_site_name, invensys_equipment_name, invensys_meter_name],43 index='invensys')44 return_value = table_mock.get_all.return_value45 self.uow.run_list.assert_called_with(return_value)46 def test_get_all_for_siemens_point(self):47 siemens_meter_name = Mock()48 table_mock = self.uow.tables.global_vendor_point_records49 self.repo.get_all_for_siemens_point(siemens_meter_name)50 # table.get_all()51 table_mock.get_all.assert_called_with([siemens_meter_name], index='siemens')52 return_value = table_mock.get_all.return_value53 self.uow.run_list.assert_called_with(return_value)54 def test_date_map_func(self):55 record = {'date': '1', 'Test': 1}56 rv = self.repo.date_map_func(record)57 self.assertEqual('1', rv)58 @patch("db.repositories.global_vendor_point_record_repository.GlobalVendorPointRecordRepository.date_map_func")59 def test_get_existing_dates_for_johnson(self, date_map_func):60 site_id = Mock()61 fqr = Mock()62 table_mock = self.uow.tables.global_vendor_point_records63 rv = self.repo.get_existing_dates_for_johnson(site_id, fqr)64 # table.get_all()65 table_mock.get_all.assert_called_with([site_id, fqr], index='johnson')66 return_value = table_mock.get_all.return_value67 # table.get_all().map()68 return_value.map.assert_called_with(date_map_func)69 return_value = return_value.map.return_value70 self.uow.run_list.assert_called_with(return_value)71 return_value = self.uow.run_list.return_value72 self.assertEqual(rv, return_value)73 @patch("db.repositories.global_vendor_point_record_repository.GlobalVendorPointRecordRepository.date_map_func")74 def test_get_existing_dates_for_fieldserver(self, date_map_func):75 site_id = Mock()76 offset = Mock()77 table_mock = self.uow.tables.global_vendor_point_records78 rv = self.repo.get_existing_dates_for_fieldserver(site_id, offset)79 # table.get_all()80 table_mock.get_all.assert_called_with([site_id, offset], index='fieldserver')81 return_value = table_mock.get_all.return_value82 # table.get_all().map()83 return_value.map.assert_called_with(date_map_func)84 return_value = return_value.map.return_value85 self.uow.run_list.assert_called_with(return_value)86 return_value = self.uow.run_list.return_value87 self.assertEqual(rv, return_value)88 @patch("db.repositories.global_vendor_point_record_repository.GlobalVendorPointRecordRepository.date_map_func")89 def test_get_existing_dates_for_invensys(self, date_map_func):90 site_name = Mock()91 equipment_name = Mock()92 point_name = Mock()93 table_mock = self.uow.tables.global_vendor_point_records94 rv = self.repo.get_existing_dates_for_invensys(site_name, equipment_name, point_name)95 # table.get_all()96 table_mock.get_all.assert_called_with([site_name, equipment_name, point_name], index='invensys')97 return_value = table_mock.get_all.return_value98 # table.get_all().map()99 return_value.map.assert_called_with(date_map_func)100 return_value = return_value.map.return_value101 self.uow.run_list.assert_called_with(return_value)102 return_value = self.uow.run_list.return_value103 self.assertEqual(return_value, rv)104 @patch("db.repositories.global_vendor_point_record_repository.GlobalVendorPointRecordRepository.date_map_func")105 def test_get_existing_dates_for_siemens(self, date_map_func):106 siemens_meter_name = Mock()107 table_mock = self.uow.tables.global_vendor_point_records108 rv = self.repo.get_existing_dates_for_siemens(siemens_meter_name)109 # table.get_all()110 table_mock.get_all.assert_called_with([siemens_meter_name], index='siemens')111 return_value = table_mock.get_all.return_value112 # table.get_all().map()113 return_value.map.assert_called_with(date_map_func)114 return_value = return_value.map.return_value115 self.uow.run_list.assert_called_with(return_value)116 return_value = self.uow.run_list.return_value117 self.assertEqual(return_value, rv)118 def test_delete_all_for_johnson_point(self):119 site_id = Mock()120 fqr = Mock()121 table_mock = self.uow.tables.global_vendor_point_records122 self.repo.delete_all_for_johnson_point(site_id, fqr)123 # table.get_all()124 table_mock.get_all.assert_called_with([site_id, fqr], index='johnson')125 return_value = table_mock.get_all.return_value126 # table.get_all().delete()127 return_value.delete.assert_called_with()128 return_value = return_value.delete.return_value129 self.uow.run.assert_called_with(return_value)130 def test_delete_all_for_fieldserver_point(self):131 site_id = Mock()132 offset = Mock()133 table_mock = self.uow.tables.global_vendor_point_records134 self.repo.delete_all_for_fieldserver_point(site_id, offset)135 # table.get_all()136 table_mock.get_all.assert_called_with([site_id, offset], index='fieldserver')137 return_value = table_mock.get_all.return_value138 # table.get_all().delete()139 return_value.delete.assert_called_with()140 return_value = return_value.delete.return_value141 self.uow.run.assert_called_with(return_value)142 def test_delete_all_for_invensys_point(self):143 site_name = Mock()144 equip_name = Mock()145 point_name = Mock()146 table_mock = self.uow.tables.global_vendor_point_records147 self.repo.delete_all_for_invensys_point(site_name, equip_name, point_name)148 # table.get_all()149 table_mock.get_all.assert_called_with([site_name, equip_name, point_name], index='invensys')150 return_value = table_mock.get_all.return_value151 # table.get_all().delete()152 return_value.delete.assert_called_with()153 return_value = return_value.delete.return_value154 self.uow.run.assert_called_with(return_value)155 def test_delete_all_for_siemens_point(self):156 meter_name = Mock()157 table_mock = self.uow.tables.global_vendor_point_records158 self.repo.delete_all_for_siemens_point(meter_name)159 # table.get_all()160 table_mock.get_all.assert_called_with([meter_name], index='siemens')161 return_value = table_mock.get_all.return_value162 # table.get_all().delete()163 return_value.delete.assert_called_with()164 return_value = return_value.delete.return_value...

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