You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
228 lines
7.6 KiB
Python
228 lines
7.6 KiB
Python
from test import support, seq_tests
|
|
import unittest
|
|
|
|
import gc
|
|
import pickle
|
|
|
|
class TupleTest(seq_tests.CommonTest):
|
|
type2test = tuple
|
|
|
|
def test_getitem_error(self):
|
|
msg = "tuple indices must be integers or slices"
|
|
with self.assertRaisesRegex(TypeError, msg):
|
|
()['a']
|
|
|
|
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'))
|
|
self.assertEqual(tuple(x for x in range(10) if x % 2),
|
|
(1, 3, 5, 7, 9))
|
|
|
|
def test_keyword_args(self):
|
|
with self.assertRaisesRegex(TypeError, 'keyword argument'):
|
|
tuple(sequence=())
|
|
|
|
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])
|
|
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
|
|
itorg = iter(data)
|
|
d = pickle.dumps(itorg, proto)
|
|
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, proto)
|
|
self.assertEqual(self.type2test(it), self.type2test(data)[1:])
|
|
|
|
def test_reversed_pickle(self):
|
|
data = self.type2test([4, 5, 6, 7])
|
|
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
|
|
itorg = reversed(data)
|
|
d = pickle.dumps(itorg, proto)
|
|
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, proto)
|
|
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_lexicographic_ordering(self):
|
|
# Issue 21100
|
|
a = self.type2test([1, 2])
|
|
b = self.type2test([1, 2, 0])
|
|
c = self.type2test([1, 3])
|
|
self.assertLess(a, b)
|
|
self.assertLess(b, c)
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|