How to use test_dicts method in assertpy

Best Python code snippet using assertpy_python

dicts.py

Source:dicts.py Github

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1import numpy as np2from collections import OrderedDict3from enum import Enum4import logging5from hyo2.openbst.lib.models.jackson2.sediment_params import SedimentParams6logger = logging.getLogger(__name__)7class TestSediments(Enum):8 ROUGH_ROCK = 09 ROCK = 110 COBBLE = 211 SANDY_GRAVEL = 312 COARSE_SAND = 413 MEDIUM_SAND = 514 FINE_SAND = 615 SILT = 716def make_test_params_dict():17 test_dicts = OrderedDict()18 for sediment in TestSediments:19 test_dicts[sediment] = SedimentParams()20 if sediment == TestSediments.ROUGH_ROCK:21 test_dicts[sediment].name = 'Rough Rock'22 test_dicts[sediment].color = '#00CED1'23 test_dicts[sediment].a_rho = 2.524 test_dicts[sediment].nu_p = 2.325 test_dicts[sediment].delta_p = 0.0017426 test_dicts[sediment].nu_t = 1.327 test_dicts[sediment].delta_t = 0.08528 test_dicts[sediment].gamma_2 = 2.7529 test_dicts[sediment].w_2 = 0.000130 test_dicts[sediment].gamma_3 = 3.031 test_dicts[sediment].w_3 = 0.000232 test_dicts[sediment].aspect = 1.033 test_dicts[sediment].fluct = np.array([[1, 3, 4],34 [3, 9, 12],35 [4, 12, 16]])36 elif sediment == TestSediments.ROCK:37 test_dicts[sediment].name = 'Rock'38 test_dicts[sediment].color = '#696969'39 test_dicts[sediment].a_rho = 2.540 test_dicts[sediment].nu_p = 2.341 test_dicts[sediment].delta_p = 0.0017442 test_dicts[sediment].nu_t = 1.3143 test_dicts[sediment].delta_t = 0.08544 test_dicts[sediment].gamma_2 = 3.045 test_dicts[sediment].w_2 = 0.0002546 test_dicts[sediment].gamma_3 = 3.047 test_dicts[sediment].w_3 = 0.0000648 test_dicts[sediment].aspect = 1.049 test_dicts[sediment].fluct = np.array([[1, 3, 4],50 [3, 9, 12],51 [4, 12, 16]])52 elif sediment == TestSediments.COBBLE:53 test_dicts[sediment].name = 'Cobble'54 test_dicts[sediment].color = '#008B8B'55 test_dicts[sediment].a_rho = 2.556 test_dicts[sediment].nu_p = 1.857 test_dicts[sediment].delta_p = 0.0137458 test_dicts[sediment].nu_t = 1.0159 test_dicts[sediment].delta_t = 0.160 test_dicts[sediment].gamma_2 = 3.061 test_dicts[sediment].w_2 = 0.0002562 test_dicts[sediment].gamma_3 = 3.063 test_dicts[sediment].w_3 = 0.0015264 test_dicts[sediment].aspect = 1.065 test_dicts[sediment].fluct = np.array([[1, 0, 0],66 [0, 0, 0],67 [0, 0, 0]])68 elif sediment == TestSediments.SANDY_GRAVEL:69 test_dicts[sediment].name = 'Sandy Gravel'70 test_dicts[sediment].color = '#BDB76B'71 test_dicts[sediment].a_rho = 2.49272 test_dicts[sediment].nu_p = 1.33773 test_dicts[sediment].delta_p = 0.0170574 test_dicts[sediment].nu_t = 0.15675 test_dicts[sediment].delta_t = 0.276 test_dicts[sediment].gamma_2 = 3.077 test_dicts[sediment].w_2 = 0.0001878 test_dicts[sediment].gamma_3 = 3.079 test_dicts[sediment].w_3 = 0.00037780 test_dicts[sediment].aspect = 1.081 test_dicts[sediment].fluct = np.array([[1, 0, 0],82 [0, 0, 0],83 [0, 0, 0]])84 elif sediment == TestSediments.COARSE_SAND:85 test_dicts[sediment].name = 'Coarse Sand'86 test_dicts[sediment].color = '#FF8C00'87 test_dicts[sediment].a_rho = 2.23188 test_dicts[sediment].nu_p = 1.250389 test_dicts[sediment].delta_p = 0.0163890 test_dicts[sediment].nu_t = 0.13491 test_dicts[sediment].delta_t = 0.07592 test_dicts[sediment].gamma_2 = 3.2593 test_dicts[sediment].w_2 = 0.0002294 test_dicts[sediment].gamma_3 = 3.095 test_dicts[sediment].w_3 = 0.00036296 test_dicts[sediment].aspect = 1.097 test_dicts[sediment].fluct = np.array([[1, 0, 0],98 [0, 0, 0],99 [0, 0, 0]])100 elif sediment == TestSediments.MEDIUM_SAND:101 test_dicts[sediment].name = 'Medium Sand'102 test_dicts[sediment].color = '#FFD700'103 test_dicts[sediment].a_rho = 1.845104 test_dicts[sediment].nu_p = 1.1782105 test_dicts[sediment].delta_p = 0.01624106 test_dicts[sediment].nu_t = 0.002107 test_dicts[sediment].delta_t = 1.0108 test_dicts[sediment].gamma_2 = 3.25109 test_dicts[sediment].w_2 = 0.0001406110 test_dicts[sediment].gamma_3 = 3.0111 test_dicts[sediment].w_3 = 0.000359112 test_dicts[sediment].aspect = 1.0113 test_dicts[sediment].fluct = np.array([[1, 0, 0],114 [0, 0, 0],115 [0, 0, 0]])116 elif sediment == TestSediments.FINE_SAND:117 test_dicts[sediment].name = 'Fine Sand'118 test_dicts[sediment].color = '#FFA07A'119 test_dicts[sediment].a_rho = 1.451120 test_dicts[sediment].nu_p = 1.1072121 test_dicts[sediment].delta_p = 0.01602122 test_dicts[sediment].nu_t = 0.002123 test_dicts[sediment].delta_t = 1.0124 test_dicts[sediment].gamma_2 = 3.25125 test_dicts[sediment].w_2 = 0.000086126 test_dicts[sediment].gamma_3 = 3.0127 test_dicts[sediment].w_3 = 0.000354128 test_dicts[sediment].aspect = 1.0129 test_dicts[sediment].fluct = np.array([[1, 0, 0],130 [0, 0, 0],131 [0, 0, 0]])132 elif sediment == TestSediments.SILT:133 test_dicts[sediment].name = 'Silt'134 test_dicts[sediment].color = '#7FFF00'135 test_dicts[sediment].a_rho = 1.149136 test_dicts[sediment].nu_p = 0.9873137 test_dicts[sediment].delta_p = 0.00386138 test_dicts[sediment].nu_t = 0.002139 test_dicts[sediment].delta_t = 1.0140 test_dicts[sediment].gamma_2 = 3.25141 test_dicts[sediment].w_2 = 0.0000164142 test_dicts[sediment].gamma_3 = 3.0143 test_dicts[sediment].w_3 = 0.00004269144 test_dicts[sediment].aspect = 1.0145 test_dicts[sediment].fluct = np.array([[1, 0, 0],146 [0, 0, 0],147 [0, 0, 0]])148 return test_dicts...

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run_experiment_22_7.py

Source:run_experiment_22_7.py Github

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1from experiments.exp2_5_check_dire import run_experiment as run_experiment_2_52from experiments.exp3_check_dire_graph_on_top import run_experiment as run_experiment_33test_dicts = []4for seed in [45, 46, 47, 48, 49, 50, 51, 52, 53]:5 test_dicts.append(run_experiment_2_5(seed=seed, learning_rate=0.01, embedding_size=50))6 test_dicts.append(run_experiment_3(seed=seed, learning_rate=0.01, embedding_size=50))7 test_dicts.append(run_experiment_2_5(seed=seed, learning_rate=0.01, embedding_size=100))8 test_dicts.append(run_experiment_3(seed=seed, learning_rate=0.01, embedding_size=100))9 test_dicts.append(run_experiment_2_5(seed=seed, learning_rate=0.005, embedding_size=50))10 test_dicts.append(run_experiment_3(seed=seed, learning_rate=0.005, embedding_size=50))11 test_dicts.append(run_experiment_2_5(seed=seed, learning_rate=0.005, embedding_size=100))12 test_dicts.append(run_experiment_3(seed=seed, learning_rate=0.005, embedding_size=100))13 test_dicts.append(run_experiment_2_5(seed=seed, learning_rate=0.01, embedding_size=5))14 test_dicts.append(run_experiment_3(seed=seed, learning_rate=0.01, embedding_size=5))15 for em_size in [50, 100, 5]:16 for lr in [0.005, 0.01]:17 print('-----------------------')18 print(em_size)19 print(lr)20 for test_dict in test_dicts:21 if test_dict[-1]['embedding_size'] == em_size and test_dict[-1]['learning_rate'] == lr:...

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test_dict.py

Source:test_dict.py Github

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1test_dicts = {'List Smith':'521-8976','John Smith':'521-1234','Sandra Dee':'521-9655','Ted Baker':'418-4165','Sam Doe':'521-5030'}2print(test_dicts.values())3print(test_dicts.get('Ted Baker'))4print(test_dicts)5for x in test_dicts:6 print(x)7for x in test_dicts.values():8 print(x)9for x,y in test_dicts.items():...

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