How to use test_trans method in pytest-django

Best Python code snippet using pytest-django_python

test_day_16.py

Source:test_day_16.py Github

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1import unittest2import day_163test_input_1 = 'D2FE28'4test_input_2 = '38006F45291200'5test_input_3 = 'EE00D40C823060'6test_input_4 = '8A004A801A8002F478'7class TestDay16(unittest.TestCase):8 def test_parse_input(self):9 self.assertEqual(10 day_16.parse_input(test_input_1),11 '110100101111111000101000'12 )13 self.assertEqual(14 day_16.parse_input(test_input_2),15 '00111000000000000110111101000101001010010001001000000000'16 )17 self.assertEqual(18 day_16.parse_input(test_input_3),19 '11101110000000001101010000001100100000100011000001100000'20 )21 def test_read_packet(self):22 test_packet_str_1 = day_16.parse_input(test_input_1)23 test_packet_1 = day_16.get_bits(test_packet_str_1)24 self.assertEqual(25 day_16.read_packet(test_packet_1),26 [{'v': 6, 't': 4, 'value': 2021}]27 )28 test_packet_str_2 = day_16.parse_input(test_input_2)29 test_packet_2 = day_16.get_bits(test_packet_str_2)30 self.assertEqual(31 day_16.read_packet(test_packet_2),32 [{33 'v': 1,34 't': 6,35 'sub': [36 {'v': 6, 't': 4, 'value': 10},37 {'v': 2, 't': 4, 'value': 20}38 ]39 }]40 )41 test_packet_str_3 = day_16.parse_input(test_input_3)42 test_packet_3 = day_16.get_bits(test_packet_str_3)43 self.assertEqual(44 day_16.read_packet(test_packet_3),45 [{46 'v': 7,47 't': 3,48 'sub': [49 {'v': 2, 't': 4, 'value': 1},50 {'v': 4, 't': 4, 'value': 2},51 {'v': 1, 't': 4, 'value': 3}52 ]53 }]54 )55 def test_sum_versions(self):56 test_packet_str_4 = day_16.parse_input(57 '8A004A801A8002F478')58 test_packet_4 = day_16.get_bits(test_packet_str_4)59 test_trans_4 = day_16.read_packet(test_packet_4)60 self.assertEqual(61 day_16.sum_v(test_trans_4),62 1663 )64 test_packet_str_5 = day_16.parse_input(65 '620080001611562C8802118E34')66 test_packet_5 = day_16.get_bits(test_packet_str_5)67 test_trans_5 = day_16.read_packet(test_packet_5)68 self.assertEqual(69 day_16.sum_v(test_trans_5),70 1271 )72 test_packet_str_6 = day_16.parse_input(73 'C0015000016115A2E0802F182340')74 test_packet_6 = day_16.get_bits(test_packet_str_6)75 test_trans_6 = day_16.read_packet(test_packet_6)76 self.assertEqual(77 day_16.sum_v(test_trans_6),78 2379 )80 test_packet_str_7 = day_16.parse_input(81 'A0016C880162017C3686B18A3D4780')82 test_packet_7 = day_16.get_bits(test_packet_str_7)83 test_trans_7 = day_16.read_packet(test_packet_7)84 self.assertEqual(85 day_16.sum_v(test_trans_7),86 3187 )88 def test_get_val(self):89 test_packet_str = day_16.parse_input(90 'C200B40A82')91 test_packet = day_16.get_bits(test_packet_str)92 test_trans = day_16.read_packet(test_packet)93 self.assertEqual(day_16.get_value(test_trans), [3])94 test_packet_str = day_16.parse_input(95 '04005AC33890')96 test_packet = day_16.get_bits(test_packet_str)97 test_trans = day_16.read_packet(test_packet)98 self.assertEqual(day_16.get_value(test_trans), [54])99 test_packet_str = day_16.parse_input(100 '880086C3E88112')101 test_packet = day_16.get_bits(test_packet_str)102 test_trans = day_16.read_packet(test_packet)103 self.assertEqual(day_16.get_value(test_trans), [7])104 test_packet_str = day_16.parse_input(105 'CE00C43D881120')106 test_packet = day_16.get_bits(test_packet_str)107 test_trans = day_16.read_packet(test_packet)108 self.assertEqual(day_16.get_value(test_trans), [9])109 test_packet_str = day_16.parse_input(110 'D8005AC2A8F0')111 test_packet = day_16.get_bits(test_packet_str)112 test_trans = day_16.read_packet(test_packet)113 self.assertEqual(day_16.get_value(test_trans), [1])114 test_packet_str = day_16.parse_input(115 'F600BC2D8F')116 test_packet = day_16.get_bits(test_packet_str)117 test_trans = day_16.read_packet(test_packet)118 self.assertEqual(day_16.get_value(test_trans), [0])119 test_packet_str = day_16.parse_input(120 '9C005AC2F8F0')121 test_packet = day_16.get_bits(test_packet_str)122 test_trans = day_16.read_packet(test_packet)123 self.assertEqual(day_16.get_value(test_trans), [0])124 test_packet_str = day_16.parse_input(125 '9C0141080250320F1802104A08')126 test_packet = day_16.get_bits(test_packet_str)127 test_trans = day_16.read_packet(test_packet)128 self.assertEqual(day_16.get_value(test_trans), [1])129if __name__ == '__main__':...

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bank.py

Source:bank.py Github

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1from domain.get_and_set import set_sum, set_day, set_type, get_trans, get_type, get_undo_list, set_undo_list,\2 set_trans_list3from domain.transaction import create_dict4def generate_trans():5 return [{'12', '123', 'intrare'}, {'13', '345', 'iesire'}, {'14', '567', 'intrare'}, {'15', '789', 'iesire'}, {'16', '897', 'int'}]6def setup_bank():7 mylist = []8 return mylist9def modify_day_in_transaction(mylist, new_day):10 set_day(mylist, new_day)11def modify_sum_in_transaction(mylist, new_sum):12 set_sum(mylist, new_sum)13def modify_type_in_transaction(mylist, new_type):14 set_type(mylist, new_type)15def remove_from_dict_by_day(mylist, my_day):16 for i in range(len(mylist)):17 if mylist[i]['zi'] != my_day:18 del mylist[i]19 break20 return mylist21def remove_from_dict_by_dayinterval(mylist, my_day1, my_day2):22 for i in range(len(mylist)):23 if my_day1 < mylist[i]['zi'] < my_day2:24 del mylist[i]25 break26 elif my_day1 == mylist[i]['zi'] or my_day2 == mylist[i]['zi']:27 del mylist[i]28 break29 return mylist30def remove_from_dict_by_type(mylist, mytype):31 for i in range(len(mylist)):32 if mylist[i]['zi'] != mytype:33 del mylist[i]34 break35 return mylist36def search_dict_greater_than(mylist, mysum):37 res = list(filter(lambda i: i['suma'] > mysum, mylist))38 return res39def search_dict_greater_than_and_before(mylist, mysum, myday):40 res = list(filter(lambda i: (i['suma'] > mysum and i['zi'] < myday), mylist))41 return res42def search_dict_by_type(mylist, mytype):43 res = list(filter(lambda i: i['tipul'] == mytype, mylist))44 return res45def sum_type(mylist, mytype):46 s = 047 for i in range(len(mylist)):48 if mylist[i]['tipul'] == mytype:49 s = s + mylist[i]['suma']50 return s51def sold_date(mylist, myday):52 s = 053 s1 = 054 for i in range(len(mylist)):55 if mylist[i]['zi'] <= myday and mylist[i]['tipul'] == "intrare":56 s = s + mylist[i]['suma']57 if mylist[i]['zi'] <= myday and mylist[i]['tipul'] == "iesire":58 s1 = s1 + mylist[i]['suma']59 sf = s - s160 return sf61def sortingkey(e):62 return e['suma']63def sort_trans_by_sum(mylist, mytype):64 res = list(filter(lambda i: i['tipul'] == mytype, mylist))65 res.sort(key=sortingkey)66 return res67def elim_trans_by_type(mylist, mytype):68 res = list(filter(lambda i: i['tipul'] != mytype, mylist))69 return res70def elim_trans_by_type_and_sum(mylist, mytype, mysum):71 res = list(filter(lambda i: (i['tipul'] == mytype and i['suma'] < mysum), mylist))72 return res73def undo(mylist):74 undo_list = get_undo_list(mylist)75 if len(undo_list) == 0:76 raise ValueError("Nu se mai poate face undo.")77 else:78 previous_list = undo_list[-1]79 set_trans_list(mylist, previous_list)80 set_undo_list(mylist, undo_list[:-1])81# tests82def test_remove_by_type():83 test_list1 = generate_trans()84 initial_length = len(test_list1)85 test_list1 = elim_trans_by_type(test_list1, 'iesire')86 assert (len(test_list1) == initial_length - 2)87 test_list2 = []88 test_list2 = elim_trans_by_type(test_list2, 'iesire')89 assert (len(test_list2) == 0)90def test_elim_trans_by_type():91 test_trans = setup_bank()92 create_dict(test_trans, 69, 420, 'intrare')93 create_dict(test_trans, 7, 12, 'iesire')94 assert (len(get_trans(test_trans)) == 2)95 elim_trans_by_type(setup_bank, 'iesire')96 assert (len(get_trans(test_trans)) == 1)97def test_filter_by_name():98 test_list = []99 filtered_list1 = search_dict_by_type(test_list, 'ies')100 assert (len(filtered_list1) == 0)101 test_list2 = generate_trans()102 filtered_list2 = search_dict_by_type(test_list2, 'iesire')103 assert (len(filtered_list2) == 2)104 filtered_list3 = search_dict_by_type(test_list2, 'int')105 assert (len(filtered_list3) == 1)106 assert (get_type(filtered_list3[0]) == 'int')107 filtered_list4 = search_dict_by_type(test_list2, 'schimbare')108 assert (len(filtered_list4) == 0)109 filtered_list5 = search_dict_by_type(test_list2, '')110 assert (len(filtered_list5) == 0)111def test_elim_trans_by_type_and_sum():112 test_trans = setup_bank()113 create_dict(test_trans, 69, 420, 'intrare')114 create_dict(test_trans, 7, 12, 'iesire')115 assert (len(get_trans(test_trans)) == 2)116 elim_trans_by_type_and_sum(setup_bank, 'iesire', 100)117 assert (len(get_trans(test_trans)) == 1)118def test_sort_trans_by_sum():119 test_list = []120 filtered_list1 = sort_trans_by_sum(test_list, 'iesire')...

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utils.py

Source:utils.py Github

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1import numpy as np2import pandas as pd3import matplotlib.pyplot as plt4from sklearn.decomposition import PCA5from sklearn.neighbors import NearestNeighbors6import math7from kneebow.rotor import Rotor8""" Transform """9def transfrom_all_data(transformer, train, test, feature_list):10 """11 Apply transformer to train and test features12 13 Usage:14 logTrans = FunctionTransformer(np.log1p)15 train_trans, test_trans = transfrom_all_data(transformer, train, test, feature_list)16 """17 train_trans = transformer.fit_transform(train[feature_list])18 test_trans = transformer.transform(test[feature_list])19 20 if type(train_trans) != np.ndarray:21 train_trans = np.array(train_trans)22 test_trans = np.array(test_trans)23 24 return train_trans, test_trans25def make_features(transformer, train, test, feature_list, name, normalize=False, scaler=None):26 """27 Add newly generated transformed features to train and test dataframe28 29 Usage:30 scaler = StandardScaler()31 logTrans = FunctionTransformer(np.log1p)32 train_X, val_X = make_features(qTrans, train_X, val_X, feature_list=range(10), name="qTrans", normalize=False, scaler=scaler)33 """34 train, test = train.copy(), test.copy()35 train_trans, test_trans = transfrom_all_data(transformer, train, test, feature_list)36 37 if normalize and scaler is not None:38 train_trans = scaler.fit_transform(train_trans).astype(np.float32)39 test_trans = scaler.transform(test_trans).astype(np.float32)40 41 for i in range(train_trans.shape[1]):42 train['{0}_{1}'.format(name, i)] = train_trans[:, i]43 test['{0}_{1}'.format(name, i)] = test_trans[:, i]44 45 return train, test46""" Optimal Parameters """47def calculate_kn_distance(X, neigh=2):48 neigh = NearestNeighbors(n_neighbors=neigh)49 nbrs = neigh.fit(X)50 distances, indices = nbrs.kneighbors(X)51 return distances[:,1:].reshape(-1)52def get_eps(X, neigh=2):53 eps_dist = np.sort(calculate_kn_distance(X, neigh=neigh))54 plt.hist(eps_dist, bins=60)55 plt.ylabel('n');56 plt.xlabel('Epsilon distance');57 plt.show()58 59 rotor = Rotor()60 curve_xy = np.concatenate([np.arange(eps_dist.shape[0]).reshape(-1, 1), eps_dist.reshape(-1, 1)],1)61 rotor.fit_rotate(curve_xy)62 rotor.plot_elbow()63 e_idx = rotor.get_elbow_index()64 65 return curve_xy[e_idx]66def calc_optimal_components(X, var_thr=0.95):67 """68 Find optimal numbers of PCA components69 70 Usage:71 calc_optimal_components(X)72 """73 74 pca = PCA(min(X.shape))75 pca.fit(X)76 var_ratio_cum = pca.explained_variance_ratio_.cumsum()77 n_comp = np.where(var_ratio_cum>=var_thr)[0][0]78 plt.plot(range(min(X.shape)), var_ratio_cum, "o-")79 plt.vlines([n_comp], ymin=var_ratio_cum[0], ymax=var_ratio_cum[n_comp], linestyles="--", color="red", alpha=0.5)80 plt.plot([n_comp], var_ratio_cum[n_comp], marker="x", markersize=12)81 82 print("n_components: ", n_comp)...

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