1 | from test import test_support, seq_tests
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2 |
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3 | import gc
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4 |
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5 | class TupleTest(seq_tests.CommonTest):
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6 | type2test = tuple
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7 |
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8 | def test_constructors(self):
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9 | super(TupleTest, self).test_constructors()
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10 | # calling built-in types without argument must return empty
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11 | self.assertEqual(tuple(), ())
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12 | t0_3 = (0, 1, 2, 3)
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13 | t0_3_bis = tuple(t0_3)
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14 | self.assertTrue(t0_3 is t0_3_bis)
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15 | self.assertEqual(tuple([]), ())
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16 | self.assertEqual(tuple([0, 1, 2, 3]), (0, 1, 2, 3))
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17 | self.assertEqual(tuple(''), ())
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18 | self.assertEqual(tuple('spam'), ('s', 'p', 'a', 'm'))
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19 |
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20 | def test_truth(self):
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21 | super(TupleTest, self).test_truth()
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22 | self.assertTrue(not ())
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23 | self.assertTrue((42, ))
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24 |
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25 | def test_len(self):
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26 | super(TupleTest, self).test_len()
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27 | self.assertEqual(len(()), 0)
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28 | self.assertEqual(len((0,)), 1)
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29 | self.assertEqual(len((0, 1, 2)), 3)
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30 |
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31 | def test_iadd(self):
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32 | super(TupleTest, self).test_iadd()
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33 | u = (0, 1)
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34 | u2 = u
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35 | u += (2, 3)
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36 | self.assertTrue(u is not u2)
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37 |
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38 | def test_imul(self):
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39 | super(TupleTest, self).test_imul()
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40 | u = (0, 1)
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41 | u2 = u
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42 | u *= 3
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43 | self.assertTrue(u is not u2)
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44 |
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45 | def test_tupleresizebug(self):
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46 | # Check that a specific bug in _PyTuple_Resize() is squashed.
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47 | def f():
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48 | for i in range(1000):
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49 | yield i
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50 | self.assertEqual(list(tuple(f())), range(1000))
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51 |
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52 | def test_hash(self):
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53 | # See SF bug 942952: Weakness in tuple hash
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54 | # The hash should:
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55 | # be non-commutative
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56 | # should spread-out closely spaced values
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57 | # should not exhibit cancellation in tuples like (x,(x,y))
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58 | # should be distinct from element hashes: hash(x)!=hash((x,))
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59 | # This test exercises those cases.
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60 | # For a pure random hash and N=50, the expected number of occupied
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61 | # buckets when tossing 252,600 balls into 2**32 buckets
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62 | # is 252,592.6, or about 7.4 expected collisions. The
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63 | # standard deviation is 2.73. On a box with 64-bit hash
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64 | # codes, no collisions are expected. Here we accept no
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65 | # more than 15 collisions. Any worse and the hash function
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66 | # is sorely suspect.
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67 |
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68 | N=50
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69 | base = range(N)
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70 | xp = [(i, j) for i in base for j in base]
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71 | inps = base + [(i, j) for i in base for j in xp] + \
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72 | [(i, j) for i in xp for j in base] + xp + zip(base)
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73 | collisions = len(inps) - len(set(map(hash, inps)))
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74 | self.assertTrue(collisions <= 15)
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75 |
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76 | def test_repr(self):
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77 | l0 = tuple()
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78 | l2 = (0, 1, 2)
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79 | a0 = self.type2test(l0)
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80 | a2 = self.type2test(l2)
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81 |
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82 | self.assertEqual(str(a0), repr(l0))
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83 | self.assertEqual(str(a2), repr(l2))
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84 | self.assertEqual(repr(a0), "()")
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85 | self.assertEqual(repr(a2), "(0, 1, 2)")
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86 |
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87 | def _not_tracked(self, t):
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88 | # Nested tuples can take several collections to untrack
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89 | gc.collect()
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90 | gc.collect()
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91 | self.assertFalse(gc.is_tracked(t), t)
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92 |
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93 | def _tracked(self, t):
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94 | self.assertTrue(gc.is_tracked(t), t)
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95 | gc.collect()
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96 | gc.collect()
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97 | self.assertTrue(gc.is_tracked(t), t)
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98 |
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99 | @test_support.cpython_only
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100 | def test_track_literals(self):
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101 | # Test GC-optimization of tuple literals
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102 | x, y, z = 1.5, "a", []
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103 |
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104 | self._not_tracked(())
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105 | self._not_tracked((1,))
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106 | self._not_tracked((1, 2))
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107 | self._not_tracked((1, 2, "a"))
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108 | self._not_tracked((1, 2, (None, True, False, ()), int))
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109 | self._not_tracked((object(),))
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110 | self._not_tracked(((1, x), y, (2, 3)))
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111 |
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112 | # Tuples with mutable elements are always tracked, even if those
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113 | # elements are not tracked right now.
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114 | self._tracked(([],))
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115 | self._tracked(([1],))
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116 | self._tracked(({},))
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117 | self._tracked((set(),))
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118 | self._tracked((x, y, z))
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119 |
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120 | def check_track_dynamic(self, tp, always_track):
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121 | x, y, z = 1.5, "a", []
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122 |
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123 | check = self._tracked if always_track else self._not_tracked
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124 | check(tp())
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125 | check(tp([]))
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126 | check(tp(set()))
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127 | check(tp([1, x, y]))
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128 | check(tp(obj for obj in [1, x, y]))
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129 | check(tp(set([1, x, y])))
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130 | check(tp(tuple([obj]) for obj in [1, x, y]))
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131 | check(tuple(tp([obj]) for obj in [1, x, y]))
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132 |
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133 | self._tracked(tp([z]))
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134 | self._tracked(tp([[x, y]]))
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135 | self._tracked(tp([{x: y}]))
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136 | self._tracked(tp(obj for obj in [x, y, z]))
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137 | self._tracked(tp(tuple([obj]) for obj in [x, y, z]))
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138 | self._tracked(tuple(tp([obj]) for obj in [x, y, z]))
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139 |
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140 | @test_support.cpython_only
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141 | def test_track_dynamic(self):
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142 | # Test GC-optimization of dynamically constructed tuples.
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143 | self.check_track_dynamic(tuple, False)
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144 |
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145 | @test_support.cpython_only
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146 | def test_track_subtypes(self):
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147 | # Tuple subtypes must always be tracked
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148 | class MyTuple(tuple):
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149 | pass
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150 | self.check_track_dynamic(MyTuple, True)
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151 |
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152 | @test_support.cpython_only
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153 | def test_bug7466(self):
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154 | # Trying to untrack an unfinished tuple could crash Python
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155 | self._not_tracked(tuple(gc.collect() for i in range(101)))
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156 |
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157 | def test_main():
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158 | test_support.run_unittest(TupleTest)
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159 |
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160 | if __name__=="__main__":
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161 | test_main()
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