Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/sitepackages/networkx/utils/tests/test_misc.py @ 0:4f3585e2f14b draft default tip
"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author  shellac 

date  Mon, 22 Mar 2021 18:12:50 +0000 
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0
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1 import pytest 
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2 import networkx as nx 
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3 import random 
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4 from networkx.utils import ( 
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5 create_py_random_state, 
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6 create_random_state, 
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7 discrete_sequence, 
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8 dict_to_numpy_array, 
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9 dict_to_numpy_array1, 
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10 dict_to_numpy_array2, 
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11 is_string_like, 
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12 iterable, 
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13 groups, 
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14 make_list_of_ints, 
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15 make_str, 
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16 pairwise, 
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17 powerlaw_sequence, 
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18 PythonRandomInterface, 
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19 to_tuple, 
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20 ) 
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21 
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22 
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23 def test_is_string_like(): 
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24 assert is_string_like("aaaa") 
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25 assert not is_string_like(None) 
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26 assert not is_string_like(123) 
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27 
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28 
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29 def test_iterable(): 
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30 assert not iterable(None) 
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31 assert not iterable(10) 
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32 assert iterable([1, 2, 3]) 
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33 assert iterable((1, 2, 3)) 
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34 assert iterable({1: "A", 2: "X"}) 
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35 assert iterable("ABC") 
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36 
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37 
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38 def test_graph_iterable(): 
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39 K = nx.complete_graph(10) 
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40 assert iterable(K) 
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41 assert iterable(K.nodes()) 
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42 assert iterable(K.edges()) 
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43 
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44 
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45 def test_make_list_of_ints(): 
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46 mylist = [1, 2, 3.0, 42, 2] 
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47 assert make_list_of_ints(mylist) is mylist 
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48 assert make_list_of_ints(mylist) == mylist 
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49 assert type(make_list_of_ints(mylist)[2]) is int 
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50 pytest.raises(nx.NetworkXError, make_list_of_ints, [1, 2, 3, "kermit"]) 
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51 pytest.raises(nx.NetworkXError, make_list_of_ints, [1, 2, 3.1]) 
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52 
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53 
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54 def test_random_number_distribution(): 
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55 # smoke test only 
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56 z = powerlaw_sequence(20, exponent=2.5) 
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57 z = discrete_sequence(20, distribution=[0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 3]) 
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58 
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59 
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60 def test_make_str_with_bytes(): 
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61 x = "qualitÃ©" 
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62 y = make_str(x) 
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63 assert isinstance(y, str) 
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64 assert len(y) == 7 
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65 
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66 
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67 def test_make_str_with_unicode(): 
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68 x = "qualitÃ©" 
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69 y = make_str(x) 
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70 assert isinstance(y, str) 
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71 assert len(y) == 7 
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72 
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73 
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74 class TestNumpyArray: 
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75 @classmethod 
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76 def setup_class(cls): 
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77 global numpy 
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78 global assert_allclose 
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79 numpy = pytest.importorskip("numpy") 
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80 assert_allclose = numpy.testing.assert_allclose 
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81 
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82 def test_numpy_to_list_of_ints(self): 
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83 a = numpy.array([1, 2, 3], dtype=numpy.int64) 
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84 b = numpy.array([1.0, 2, 3]) 
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85 c = numpy.array([1.1, 2, 3]) 
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86 assert type(make_list_of_ints(a)) == list 
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87 assert make_list_of_ints(b) == list(b) 
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88 B = make_list_of_ints(b) 
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89 assert type(B[0]) == int 
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90 pytest.raises(nx.NetworkXError, make_list_of_ints, c) 
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91 
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92 def test_dict_to_numpy_array1(self): 
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93 d = {"a": 1, "b": 2} 
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94 a = dict_to_numpy_array1(d, mapping={"a": 0, "b": 1}) 
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95 assert_allclose(a, numpy.array([1, 2])) 
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96 a = dict_to_numpy_array1(d, mapping={"b": 0, "a": 1}) 
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97 assert_allclose(a, numpy.array([2, 1])) 
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98 
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99 a = dict_to_numpy_array1(d) 
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100 assert_allclose(a.sum(), 3) 
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101 
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102 def test_dict_to_numpy_array2(self): 
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103 d = {"a": {"a": 1, "b": 2}, "b": {"a": 10, "b": 20}} 
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104 
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105 mapping = {"a": 1, "b": 0} 
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106 a = dict_to_numpy_array2(d, mapping=mapping) 
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107 assert_allclose(a, numpy.array([[20, 10], [2, 1]])) 
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108 
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109 a = dict_to_numpy_array2(d) 
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110 assert_allclose(a.sum(), 33) 
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111 
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112 def test_dict_to_numpy_array_a(self): 
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113 d = {"a": {"a": 1, "b": 2}, "b": {"a": 10, "b": 20}} 
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114 
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115 mapping = {"a": 0, "b": 1} 
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116 a = dict_to_numpy_array(d, mapping=mapping) 
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117 assert_allclose(a, numpy.array([[1, 2], [10, 20]])) 
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118 
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119 mapping = {"a": 1, "b": 0} 
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120 a = dict_to_numpy_array(d, mapping=mapping) 
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121 assert_allclose(a, numpy.array([[20, 10], [2, 1]])) 
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122 
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123 a = dict_to_numpy_array2(d) 
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124 assert_allclose(a.sum(), 33) 
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125 
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126 def test_dict_to_numpy_array_b(self): 
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127 d = {"a": 1, "b": 2} 
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128 
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129 mapping = {"a": 0, "b": 1} 
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130 a = dict_to_numpy_array(d, mapping=mapping) 
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131 assert_allclose(a, numpy.array([1, 2])) 
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132 
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133 a = dict_to_numpy_array1(d) 
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134 assert_allclose(a.sum(), 3) 
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135 
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136 
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137 def test_pairwise(): 
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138 nodes = range(4) 
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139 node_pairs = [(0, 1), (1, 2), (2, 3)] 
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140 node_pairs_cycle = node_pairs + [(3, 0)] 
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141 assert list(pairwise(nodes)) == node_pairs 
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142 assert list(pairwise(iter(nodes))) == node_pairs 
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143 assert list(pairwise(nodes, cyclic=True)) == node_pairs_cycle 
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144 empty_iter = iter(()) 
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145 assert list(pairwise(empty_iter)) == [] 
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146 empty_iter = iter(()) 
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147 assert list(pairwise(empty_iter, cyclic=True)) == [] 
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148 
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149 
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150 def test_groups(): 
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151 many_to_one = dict(zip("abcde", [0, 0, 1, 1, 2])) 
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152 actual = groups(many_to_one) 
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153 expected = {0: {"a", "b"}, 1: {"c", "d"}, 2: {"e"}} 
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154 assert actual == expected 
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155 assert {} == groups({}) 
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156 
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157 
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158 def test_to_tuple(): 
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159 a_list = [1, 2, [1, 3]] 
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160 actual = to_tuple(a_list) 
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161 expected = (1, 2, (1, 3)) 
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162 assert actual == expected 
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163 
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164 a_tuple = (1, 2) 
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165 actual = to_tuple(a_tuple) 
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166 expected = a_tuple 
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167 assert actual == expected 
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168 
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169 a_mix = (1, 2, [1, 3]) 
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170 actual = to_tuple(a_mix) 
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171 expected = (1, 2, (1, 3)) 
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172 assert actual == expected 
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173 
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174 
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175 def test_create_random_state(): 
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176 np = pytest.importorskip("numpy") 
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177 rs = np.random.RandomState 
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178 
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179 assert isinstance(create_random_state(1), rs) 
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180 assert isinstance(create_random_state(None), rs) 
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181 assert isinstance(create_random_state(np.random), rs) 
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182 assert isinstance(create_random_state(rs(1)), rs) 
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183 pytest.raises(ValueError, create_random_state, "a") 
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184 
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185 assert np.all(rs(1).rand(10) == create_random_state(1).rand(10)) 
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186 
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187 
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188 def test_create_py_random_state(): 
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189 pyrs = random.Random 
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190 
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191 assert isinstance(create_py_random_state(1), pyrs) 
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192 assert isinstance(create_py_random_state(None), pyrs) 
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193 assert isinstance(create_py_random_state(pyrs(1)), pyrs) 
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194 pytest.raises(ValueError, create_py_random_state, "a") 
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195 
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196 np = pytest.importorskip("numpy") 
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197 
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198 rs = np.random.RandomState 
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199 nprs = PythonRandomInterface 
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200 assert isinstance(create_py_random_state(np.random), nprs) 
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201 assert isinstance(create_py_random_state(rs(1)), nprs) 
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202 # test default rng input 
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203 assert isinstance(PythonRandomInterface(), nprs) 
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204 
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205 
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206 def test_PythonRandomInterface(): 
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207 np = pytest.importorskip("numpy") 
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208 rs = np.random.RandomState 
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209 rng = PythonRandomInterface(rs(42)) 
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210 rs42 = rs(42) 
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211 
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212 # make sure these functions are same as expected outcome 
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213 assert rng.randrange(3, 5) == rs42.randint(3, 5) 
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214 assert np.all(rng.choice([1, 2, 3]) == rs42.choice([1, 2, 3])) 
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215 assert rng.gauss(0, 1) == rs42.normal(0, 1) 
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216 assert rng.expovariate(1.5) == rs42.exponential(1 / 1.5) 
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217 assert np.all(rng.shuffle([1, 2, 3]) == rs42.shuffle([1, 2, 3])) 
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218 assert np.all( 
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219 rng.sample([1, 2, 3], 2) == rs42.choice([1, 2, 3], (2,), replace=False) 
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220 ) 
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221 assert rng.randint(3, 5) == rs42.randint(3, 6) 
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222 assert rng.random() == rs42.random_sample() 