/usr/lib/python3.4/test/test_tuple.py is in libpython3.4-testsuite 3.4.2-1.
This file is owned by root:root, with mode 0o644.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 | from test import support, seq_tests
import gc
import pickle
class TupleTest(seq_tests.CommonTest):
type2test = tuple
def test_constructors(self):
super().test_constructors()
# calling built-in types without argument must return empty
self.assertEqual(tuple(), ())
t0_3 = (0, 1, 2, 3)
t0_3_bis = tuple(t0_3)
self.assertTrue(t0_3 is t0_3_bis)
self.assertEqual(tuple([]), ())
self.assertEqual(tuple([0, 1, 2, 3]), (0, 1, 2, 3))
self.assertEqual(tuple(''), ())
self.assertEqual(tuple('spam'), ('s', 'p', 'a', 'm'))
def test_truth(self):
super().test_truth()
self.assertTrue(not ())
self.assertTrue((42, ))
def test_len(self):
super().test_len()
self.assertEqual(len(()), 0)
self.assertEqual(len((0,)), 1)
self.assertEqual(len((0, 1, 2)), 3)
def test_iadd(self):
super().test_iadd()
u = (0, 1)
u2 = u
u += (2, 3)
self.assertTrue(u is not u2)
def test_imul(self):
super().test_imul()
u = (0, 1)
u2 = u
u *= 3
self.assertTrue(u is not u2)
def test_tupleresizebug(self):
# Check that a specific bug in _PyTuple_Resize() is squashed.
def f():
for i in range(1000):
yield i
self.assertEqual(list(tuple(f())), list(range(1000)))
def test_hash(self):
# See SF bug 942952: Weakness in tuple hash
# The hash should:
# be non-commutative
# should spread-out closely spaced values
# should not exhibit cancellation in tuples like (x,(x,y))
# should be distinct from element hashes: hash(x)!=hash((x,))
# This test exercises those cases.
# For a pure random hash and N=50, the expected number of occupied
# buckets when tossing 252,600 balls into 2**32 buckets
# is 252,592.6, or about 7.4 expected collisions. The
# standard deviation is 2.73. On a box with 64-bit hash
# codes, no collisions are expected. Here we accept no
# more than 15 collisions. Any worse and the hash function
# is sorely suspect.
N=50
base = list(range(N))
xp = [(i, j) for i in base for j in base]
inps = base + [(i, j) for i in base for j in xp] + \
[(i, j) for i in xp for j in base] + xp + list(zip(base))
collisions = len(inps) - len(set(map(hash, inps)))
self.assertTrue(collisions <= 15)
def test_repr(self):
l0 = tuple()
l2 = (0, 1, 2)
a0 = self.type2test(l0)
a2 = self.type2test(l2)
self.assertEqual(str(a0), repr(l0))
self.assertEqual(str(a2), repr(l2))
self.assertEqual(repr(a0), "()")
self.assertEqual(repr(a2), "(0, 1, 2)")
def _not_tracked(self, t):
# Nested tuples can take several collections to untrack
gc.collect()
gc.collect()
self.assertFalse(gc.is_tracked(t), t)
def _tracked(self, t):
self.assertTrue(gc.is_tracked(t), t)
gc.collect()
gc.collect()
self.assertTrue(gc.is_tracked(t), t)
@support.cpython_only
def test_track_literals(self):
# Test GC-optimization of tuple literals
x, y, z = 1.5, "a", []
self._not_tracked(())
self._not_tracked((1,))
self._not_tracked((1, 2))
self._not_tracked((1, 2, "a"))
self._not_tracked((1, 2, (None, True, False, ()), int))
self._not_tracked((object(),))
self._not_tracked(((1, x), y, (2, 3)))
# Tuples with mutable elements are always tracked, even if those
# elements are not tracked right now.
self._tracked(([],))
self._tracked(([1],))
self._tracked(({},))
self._tracked((set(),))
self._tracked((x, y, z))
def check_track_dynamic(self, tp, always_track):
x, y, z = 1.5, "a", []
check = self._tracked if always_track else self._not_tracked
check(tp())
check(tp([]))
check(tp(set()))
check(tp([1, x, y]))
check(tp(obj for obj in [1, x, y]))
check(tp(set([1, x, y])))
check(tp(tuple([obj]) for obj in [1, x, y]))
check(tuple(tp([obj]) for obj in [1, x, y]))
self._tracked(tp([z]))
self._tracked(tp([[x, y]]))
self._tracked(tp([{x: y}]))
self._tracked(tp(obj for obj in [x, y, z]))
self._tracked(tp(tuple([obj]) for obj in [x, y, z]))
self._tracked(tuple(tp([obj]) for obj in [x, y, z]))
@support.cpython_only
def test_track_dynamic(self):
# Test GC-optimization of dynamically constructed tuples.
self.check_track_dynamic(tuple, False)
@support.cpython_only
def test_track_subtypes(self):
# Tuple subtypes must always be tracked
class MyTuple(tuple):
pass
self.check_track_dynamic(MyTuple, True)
@support.cpython_only
def test_bug7466(self):
# Trying to untrack an unfinished tuple could crash Python
self._not_tracked(tuple(gc.collect() for i in range(101)))
def test_repr_large(self):
# Check the repr of large list objects
def check(n):
l = (0,) * n
s = repr(l)
self.assertEqual(s,
'(' + ', '.join(['0'] * n) + ')')
check(10) # check our checking code
check(1000000)
def test_iterator_pickle(self):
# Userlist iterators don't support pickling yet since
# they are based on generators.
data = self.type2test([4, 5, 6, 7])
itorg = iter(data)
d = pickle.dumps(itorg)
it = pickle.loads(d)
self.assertEqual(type(itorg), type(it))
self.assertEqual(self.type2test(it), self.type2test(data))
it = pickle.loads(d)
next(it)
d = pickle.dumps(it)
self.assertEqual(self.type2test(it), self.type2test(data)[1:])
def test_reversed_pickle(self):
data = self.type2test([4, 5, 6, 7])
itorg = reversed(data)
d = pickle.dumps(itorg)
it = pickle.loads(d)
self.assertEqual(type(itorg), type(it))
self.assertEqual(self.type2test(it), self.type2test(reversed(data)))
it = pickle.loads(d)
next(it)
d = pickle.dumps(it)
self.assertEqual(self.type2test(it), self.type2test(reversed(data))[1:])
def test_no_comdat_folding(self):
# Issue 8847: In the PGO build, the MSVC linker's COMDAT folding
# optimization causes failures in code that relies on distinct
# function addresses.
class T(tuple): pass
with self.assertRaises(TypeError):
[3,] + T((1,2))
def test_main():
support.run_unittest(TupleTest)
if __name__=="__main__":
test_main()
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