annotate env/lib/python3.9/site-packages/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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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 = "qualité"
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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 = "qualité"
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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()