567 lines
24 KiB
Python
567 lines
24 KiB
Python
import unittest, doctest
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from test import test_support
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from collections import namedtuple, Counter, Mapping
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import pickle, cPickle, copy
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from random import randrange
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import operator
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from collections import Hashable, Iterable, Iterator
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from collections import Sized, Container, Callable
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from collections import Set, MutableSet
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from collections import Mapping, MutableMapping
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from collections import Sequence, MutableSequence
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TestNT = namedtuple('TestNT', 'x y z') # type used for pickle tests
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class TestNamedTuple(unittest.TestCase):
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def test_factory(self):
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Point = namedtuple('Point', 'x y')
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self.assertEqual(Point.__name__, 'Point')
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self.assertEqual(Point.__doc__, 'Point(x, y)')
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self.assertEqual(Point.__slots__, ())
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self.assertEqual(Point.__module__, __name__)
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self.assertEqual(Point.__getitem__, tuple.__getitem__)
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self.assertEqual(Point._fields, ('x', 'y'))
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self.assertRaises(ValueError, namedtuple, 'abc%', 'efg ghi') # type has non-alpha char
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self.assertRaises(ValueError, namedtuple, 'class', 'efg ghi') # type has keyword
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self.assertRaises(ValueError, namedtuple, '9abc', 'efg ghi') # type starts with digit
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self.assertRaises(ValueError, namedtuple, 'abc', 'efg g%hi') # field with non-alpha char
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self.assertRaises(ValueError, namedtuple, 'abc', 'abc class') # field has keyword
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self.assertRaises(ValueError, namedtuple, 'abc', '8efg 9ghi') # field starts with digit
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self.assertRaises(ValueError, namedtuple, 'abc', '_efg ghi') # field with leading underscore
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self.assertRaises(ValueError, namedtuple, 'abc', 'efg efg ghi') # duplicate field
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namedtuple('Point0', 'x1 y2') # Verify that numbers are allowed in names
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namedtuple('_', 'a b c') # Test leading underscores in a typename
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nt = namedtuple('nt', u'the quick brown fox') # check unicode input
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self.assert_("u'" not in repr(nt._fields))
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nt = namedtuple('nt', (u'the', u'quick')) # check unicode input
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self.assert_("u'" not in repr(nt._fields))
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self.assertRaises(TypeError, Point._make, [11]) # catch too few args
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self.assertRaises(TypeError, Point._make, [11, 22, 33]) # catch too many args
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def test_instance(self):
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Point = namedtuple('Point', 'x y')
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p = Point(11, 22)
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self.assertEqual(p, Point(x=11, y=22))
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self.assertEqual(p, Point(11, y=22))
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self.assertEqual(p, Point(y=22, x=11))
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self.assertEqual(p, Point(*(11, 22)))
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self.assertEqual(p, Point(**dict(x=11, y=22)))
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self.assertRaises(TypeError, Point, 1) # too few args
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self.assertRaises(TypeError, Point, 1, 2, 3) # too many args
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self.assertRaises(TypeError, eval, 'Point(XXX=1, y=2)', locals()) # wrong keyword argument
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self.assertRaises(TypeError, eval, 'Point(x=1)', locals()) # missing keyword argument
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self.assertEqual(repr(p), 'Point(x=11, y=22)')
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self.assert_('__dict__' not in dir(p)) # verify instance has no dict
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self.assert_('__weakref__' not in dir(p))
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self.assertEqual(p, Point._make([11, 22])) # test _make classmethod
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self.assertEqual(p._fields, ('x', 'y')) # test _fields attribute
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self.assertEqual(p._replace(x=1), (1, 22)) # test _replace method
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self.assertEqual(p._asdict(), dict(x=11, y=22)) # test _asdict method
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try:
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p._replace(x=1, error=2)
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except ValueError:
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pass
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else:
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self._fail('Did not detect an incorrect fieldname')
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# verify that field string can have commas
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Point = namedtuple('Point', 'x, y')
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p = Point(x=11, y=22)
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self.assertEqual(repr(p), 'Point(x=11, y=22)')
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# verify that fieldspec can be a non-string sequence
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Point = namedtuple('Point', ('x', 'y'))
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p = Point(x=11, y=22)
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self.assertEqual(repr(p), 'Point(x=11, y=22)')
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def test_tupleness(self):
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Point = namedtuple('Point', 'x y')
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p = Point(11, 22)
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self.assert_(isinstance(p, tuple))
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self.assertEqual(p, (11, 22)) # matches a real tuple
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self.assertEqual(tuple(p), (11, 22)) # coercable to a real tuple
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self.assertEqual(list(p), [11, 22]) # coercable to a list
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self.assertEqual(max(p), 22) # iterable
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self.assertEqual(max(*p), 22) # star-able
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x, y = p
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self.assertEqual(p, (x, y)) # unpacks like a tuple
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self.assertEqual((p[0], p[1]), (11, 22)) # indexable like a tuple
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self.assertRaises(IndexError, p.__getitem__, 3)
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self.assertEqual(p.x, x)
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self.assertEqual(p.y, y)
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self.assertRaises(AttributeError, eval, 'p.z', locals())
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def test_odd_sizes(self):
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Zero = namedtuple('Zero', '')
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self.assertEqual(Zero(), ())
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self.assertEqual(Zero._make([]), ())
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self.assertEqual(repr(Zero()), 'Zero()')
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self.assertEqual(Zero()._asdict(), {})
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self.assertEqual(Zero()._fields, ())
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Dot = namedtuple('Dot', 'd')
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self.assertEqual(Dot(1), (1,))
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self.assertEqual(Dot._make([1]), (1,))
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self.assertEqual(Dot(1).d, 1)
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self.assertEqual(repr(Dot(1)), 'Dot(d=1)')
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self.assertEqual(Dot(1)._asdict(), {'d':1})
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self.assertEqual(Dot(1)._replace(d=999), (999,))
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self.assertEqual(Dot(1)._fields, ('d',))
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n = 5000
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import string, random
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names = list(set(''.join([random.choice(string.ascii_letters)
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for j in range(10)]) for i in range(n)))
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n = len(names)
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Big = namedtuple('Big', names)
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b = Big(*range(n))
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self.assertEqual(b, tuple(range(n)))
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self.assertEqual(Big._make(range(n)), tuple(range(n)))
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for pos, name in enumerate(names):
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self.assertEqual(getattr(b, name), pos)
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repr(b) # make sure repr() doesn't blow-up
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d = b._asdict()
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d_expected = dict(zip(names, range(n)))
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self.assertEqual(d, d_expected)
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b2 = b._replace(**dict([(names[1], 999),(names[-5], 42)]))
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b2_expected = range(n)
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b2_expected[1] = 999
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b2_expected[-5] = 42
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self.assertEqual(b2, tuple(b2_expected))
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self.assertEqual(b._fields, tuple(names))
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def test_pickle(self):
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p = TestNT(x=10, y=20, z=30)
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for module in pickle, cPickle:
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loads = getattr(module, 'loads')
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dumps = getattr(module, 'dumps')
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for protocol in -1, 0, 1, 2:
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q = loads(dumps(p, protocol))
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self.assertEqual(p, q)
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self.assertEqual(p._fields, q._fields)
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def test_copy(self):
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p = TestNT(x=10, y=20, z=30)
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for copier in copy.copy, copy.deepcopy:
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q = copier(p)
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self.assertEqual(p, q)
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self.assertEqual(p._fields, q._fields)
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class ABCTestCase(unittest.TestCase):
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def validate_abstract_methods(self, abc, *names):
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methodstubs = dict.fromkeys(names, lambda s, *args: 0)
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# everything should work will all required methods are present
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C = type('C', (abc,), methodstubs)
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C()
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# instantiation should fail if a required method is missing
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for name in names:
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stubs = methodstubs.copy()
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del stubs[name]
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C = type('C', (abc,), stubs)
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self.assertRaises(TypeError, C, name)
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class TestOneTrickPonyABCs(ABCTestCase):
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def test_Hashable(self):
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# Check some non-hashables
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non_samples = [list(), set(), dict()]
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for x in non_samples:
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self.failIf(isinstance(x, Hashable), repr(x))
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self.failIf(issubclass(type(x), Hashable), repr(type(x)))
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# Check some hashables
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samples = [None,
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int(), float(), complex(),
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str(),
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tuple(), frozenset(),
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int, list, object, type,
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]
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for x in samples:
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self.failUnless(isinstance(x, Hashable), repr(x))
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self.failUnless(issubclass(type(x), Hashable), repr(type(x)))
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self.assertRaises(TypeError, Hashable)
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# Check direct subclassing
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class H(Hashable):
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def __hash__(self):
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return super(H, self).__hash__()
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__eq__ = Hashable.__eq__ # Silence Py3k warning
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self.assertEqual(hash(H()), 0)
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self.failIf(issubclass(int, H))
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self.validate_abstract_methods(Hashable, '__hash__')
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def test_Iterable(self):
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# Check some non-iterables
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non_samples = [None, 42, 3.14, 1j]
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for x in non_samples:
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self.failIf(isinstance(x, Iterable), repr(x))
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self.failIf(issubclass(type(x), Iterable), repr(type(x)))
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# Check some iterables
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samples = [str(),
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tuple(), list(), set(), frozenset(), dict(),
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dict().keys(), dict().items(), dict().values(),
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(lambda: (yield))(),
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(x for x in []),
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]
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for x in samples:
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self.failUnless(isinstance(x, Iterable), repr(x))
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self.failUnless(issubclass(type(x), Iterable), repr(type(x)))
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# Check direct subclassing
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class I(Iterable):
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def __iter__(self):
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return super(I, self).__iter__()
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self.assertEqual(list(I()), [])
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self.failIf(issubclass(str, I))
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self.validate_abstract_methods(Iterable, '__iter__')
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def test_Iterator(self):
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non_samples = [None, 42, 3.14, 1j, "".encode('ascii'), "", (), [],
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{}, set()]
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for x in non_samples:
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self.failIf(isinstance(x, Iterator), repr(x))
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self.failIf(issubclass(type(x), Iterator), repr(type(x)))
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samples = [iter(str()),
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iter(tuple()), iter(list()), iter(dict()),
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iter(set()), iter(frozenset()),
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iter(dict().keys()), iter(dict().items()),
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iter(dict().values()),
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(lambda: (yield))(),
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(x for x in []),
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]
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for x in samples:
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self.failUnless(isinstance(x, Iterator), repr(x))
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self.failUnless(issubclass(type(x), Iterator), repr(type(x)))
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self.validate_abstract_methods(Iterator, 'next')
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def test_Sized(self):
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non_samples = [None, 42, 3.14, 1j,
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(lambda: (yield))(),
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(x for x in []),
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]
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for x in non_samples:
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self.failIf(isinstance(x, Sized), repr(x))
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self.failIf(issubclass(type(x), Sized), repr(type(x)))
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samples = [str(),
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tuple(), list(), set(), frozenset(), dict(),
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dict().keys(), dict().items(), dict().values(),
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]
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for x in samples:
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self.failUnless(isinstance(x, Sized), repr(x))
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self.failUnless(issubclass(type(x), Sized), repr(type(x)))
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self.validate_abstract_methods(Sized, '__len__')
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def test_Container(self):
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non_samples = [None, 42, 3.14, 1j,
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(lambda: (yield))(),
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(x for x in []),
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]
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for x in non_samples:
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self.failIf(isinstance(x, Container), repr(x))
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self.failIf(issubclass(type(x), Container), repr(type(x)))
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samples = [str(),
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tuple(), list(), set(), frozenset(), dict(),
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dict().keys(), dict().items(),
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]
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for x in samples:
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self.failUnless(isinstance(x, Container), repr(x))
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self.failUnless(issubclass(type(x), Container), repr(type(x)))
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self.validate_abstract_methods(Container, '__contains__')
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def test_Callable(self):
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non_samples = [None, 42, 3.14, 1j,
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"", "".encode('ascii'), (), [], {}, set(),
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(lambda: (yield))(),
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(x for x in []),
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]
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for x in non_samples:
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self.failIf(isinstance(x, Callable), repr(x))
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self.failIf(issubclass(type(x), Callable), repr(type(x)))
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samples = [lambda: None,
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type, int, object,
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len,
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list.append, [].append,
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]
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for x in samples:
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self.failUnless(isinstance(x, Callable), repr(x))
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self.failUnless(issubclass(type(x), Callable), repr(type(x)))
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self.validate_abstract_methods(Callable, '__call__')
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def test_direct_subclassing(self):
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for B in Hashable, Iterable, Iterator, Sized, Container, Callable:
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class C(B):
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pass
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self.failUnless(issubclass(C, B))
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self.failIf(issubclass(int, C))
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def test_registration(self):
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for B in Hashable, Iterable, Iterator, Sized, Container, Callable:
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class C:
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__metaclass__ = type
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__hash__ = None # Make sure it isn't hashable by default
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self.failIf(issubclass(C, B), B.__name__)
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B.register(C)
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self.failUnless(issubclass(C, B))
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class TestCollectionABCs(ABCTestCase):
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# XXX For now, we only test some virtual inheritance properties.
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# We should also test the proper behavior of the collection ABCs
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# as real base classes or mix-in classes.
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def test_Set(self):
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for sample in [set, frozenset]:
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self.failUnless(isinstance(sample(), Set))
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self.failUnless(issubclass(sample, Set))
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self.validate_abstract_methods(Set, '__contains__', '__iter__', '__len__')
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def test_hash_Set(self):
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class OneTwoThreeSet(Set):
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def __init__(self):
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self.contents = [1, 2, 3]
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def __contains__(self, x):
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return x in self.contents
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def __len__(self):
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return len(self.contents)
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def __iter__(self):
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return iter(self.contents)
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def __hash__(self):
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return self._hash()
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a, b = OneTwoThreeSet(), OneTwoThreeSet()
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self.failUnless(hash(a) == hash(b))
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def test_MutableSet(self):
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self.failUnless(isinstance(set(), MutableSet))
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self.failUnless(issubclass(set, MutableSet))
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self.failIf(isinstance(frozenset(), MutableSet))
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self.failIf(issubclass(frozenset, MutableSet))
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self.validate_abstract_methods(MutableSet, '__contains__', '__iter__', '__len__',
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'add', 'discard')
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def test_issue_4920(self):
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# MutableSet.pop() method did not work
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class MySet(collections.MutableSet):
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__slots__=['__s']
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def __init__(self,items=None):
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if items is None:
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items=[]
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self.__s=set(items)
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def __contains__(self,v):
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return v in self.__s
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def __iter__(self):
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return iter(self.__s)
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def __len__(self):
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return len(self.__s)
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def add(self,v):
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result=v not in self.__s
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self.__s.add(v)
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return result
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def discard(self,v):
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result=v in self.__s
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self.__s.discard(v)
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return result
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def __repr__(self):
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return "MySet(%s)" % repr(list(self))
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s = MySet([5,43,2,1])
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self.assertEqual(s.pop(), 1)
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def test_Mapping(self):
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for sample in [dict]:
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self.failUnless(isinstance(sample(), Mapping))
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self.failUnless(issubclass(sample, Mapping))
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self.validate_abstract_methods(Mapping, '__contains__', '__iter__', '__len__',
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'__getitem__')
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def test_MutableMapping(self):
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for sample in [dict]:
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self.failUnless(isinstance(sample(), MutableMapping))
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self.failUnless(issubclass(sample, MutableMapping))
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self.validate_abstract_methods(MutableMapping, '__contains__', '__iter__', '__len__',
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'__getitem__', '__setitem__', '__delitem__')
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def test_Sequence(self):
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for sample in [tuple, list, str]:
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self.failUnless(isinstance(sample(), Sequence))
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self.failUnless(issubclass(sample, Sequence))
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self.failUnless(issubclass(basestring, Sequence))
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self.validate_abstract_methods(Sequence, '__contains__', '__iter__', '__len__',
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'__getitem__')
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def test_MutableSequence(self):
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for sample in [tuple, str]:
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self.failIf(isinstance(sample(), MutableSequence))
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self.failIf(issubclass(sample, MutableSequence))
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for sample in [list]:
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self.failUnless(isinstance(sample(), MutableSequence))
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self.failUnless(issubclass(sample, MutableSequence))
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self.failIf(issubclass(basestring, MutableSequence))
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self.validate_abstract_methods(MutableSequence, '__contains__', '__iter__',
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'__len__', '__getitem__', '__setitem__', '__delitem__', 'insert')
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class TestCounter(unittest.TestCase):
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def test_basics(self):
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c = Counter('abcaba')
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self.assertEqual(c, Counter({'a':3 , 'b': 2, 'c': 1}))
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self.assertEqual(c, Counter(a=3, b=2, c=1))
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self.assert_(isinstance(c, dict))
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self.assert_(isinstance(c, Mapping))
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self.assert_(issubclass(Counter, dict))
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self.assert_(issubclass(Counter, Mapping))
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self.assertEqual(len(c), 3)
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self.assertEqual(sum(c.values()), 6)
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self.assertEqual(sorted(c.values()), [1, 2, 3])
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self.assertEqual(sorted(c.keys()), ['a', 'b', 'c'])
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self.assertEqual(sorted(c), ['a', 'b', 'c'])
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self.assertEqual(sorted(c.items()),
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[('a', 3), ('b', 2), ('c', 1)])
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self.assertEqual(c['b'], 2)
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self.assertEqual(c['z'], 0)
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self.assertEqual(c.has_key('c'), True)
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self.assertEqual(c.has_key('z'), False)
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self.assertEqual(c.__contains__('c'), True)
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self.assertEqual(c.__contains__('z'), False)
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self.assertEqual(c.get('b', 10), 2)
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self.assertEqual(c.get('z', 10), 10)
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self.assertEqual(c, dict(a=3, b=2, c=1))
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self.assertEqual(repr(c), "Counter({'a': 3, 'b': 2, 'c': 1})")
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self.assertEqual(c.most_common(), [('a', 3), ('b', 2), ('c', 1)])
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for i in range(5):
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self.assertEqual(c.most_common(i),
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[('a', 3), ('b', 2), ('c', 1)][:i])
|
|
self.assertEqual(''.join(sorted(c.elements())), 'aaabbc')
|
|
c['a'] += 1 # increment an existing value
|
|
c['b'] -= 2 # sub existing value to zero
|
|
del c['c'] # remove an entry
|
|
del c['c'] # make sure that del doesn't raise KeyError
|
|
c['d'] -= 2 # sub from a missing value
|
|
c['e'] = -5 # directly assign a missing value
|
|
c['f'] += 4 # add to a missing value
|
|
self.assertEqual(c, dict(a=4, b=0, d=-2, e=-5, f=4))
|
|
self.assertEqual(''.join(sorted(c.elements())), 'aaaaffff')
|
|
self.assertEqual(c.pop('f'), 4)
|
|
self.assertEqual('f' in c, False)
|
|
for i in range(3):
|
|
elem, cnt = c.popitem()
|
|
self.assertEqual(elem in c, False)
|
|
c.clear()
|
|
self.assertEqual(c, {})
|
|
self.assertEqual(repr(c), 'Counter()')
|
|
self.assertRaises(NotImplementedError, Counter.fromkeys, 'abc')
|
|
self.assertRaises(TypeError, hash, c)
|
|
c.update(dict(a=5, b=3))
|
|
c.update(c=1)
|
|
c.update(Counter('a' * 50 + 'b' * 30))
|
|
c.update() # test case with no args
|
|
c.__init__('a' * 500 + 'b' * 300)
|
|
c.__init__('cdc')
|
|
c.__init__()
|
|
self.assertEqual(c, dict(a=555, b=333, c=3, d=1))
|
|
self.assertEqual(c.setdefault('d', 5), 1)
|
|
self.assertEqual(c['d'], 1)
|
|
self.assertEqual(c.setdefault('e', 5), 5)
|
|
self.assertEqual(c['e'], 5)
|
|
|
|
def test_copying(self):
|
|
# Check that counters are copyable, deepcopyable, picklable, and
|
|
#have a repr/eval round-trip
|
|
words = Counter('which witch had which witches wrist watch'.split())
|
|
update_test = Counter()
|
|
update_test.update(words)
|
|
for i, dup in enumerate([
|
|
words.copy(),
|
|
copy.copy(words),
|
|
copy.deepcopy(words),
|
|
pickle.loads(pickle.dumps(words, 0)),
|
|
pickle.loads(pickle.dumps(words, 1)),
|
|
pickle.loads(pickle.dumps(words, 2)),
|
|
pickle.loads(pickle.dumps(words, -1)),
|
|
cPickle.loads(cPickle.dumps(words, 0)),
|
|
cPickle.loads(cPickle.dumps(words, 1)),
|
|
cPickle.loads(cPickle.dumps(words, 2)),
|
|
cPickle.loads(cPickle.dumps(words, -1)),
|
|
eval(repr(words)),
|
|
update_test,
|
|
Counter(words),
|
|
]):
|
|
msg = (i, dup, words)
|
|
self.assert_(dup is not words)
|
|
self.assertEquals(dup, words)
|
|
self.assertEquals(len(dup), len(words))
|
|
self.assertEquals(type(dup), type(words))
|
|
|
|
def test_conversions(self):
|
|
# Convert to: set, list, dict
|
|
s = 'she sells sea shells by the sea shore'
|
|
self.assertEqual(sorted(Counter(s).elements()), sorted(s))
|
|
self.assertEqual(sorted(Counter(s)), sorted(set(s)))
|
|
self.assertEqual(dict(Counter(s)), dict(Counter(s).items()))
|
|
self.assertEqual(set(Counter(s)), set(s))
|
|
|
|
def test_invariant_for_the_in_operator(self):
|
|
c = Counter(a=10, b=-2, c=0)
|
|
for elem in c:
|
|
self.assert_(elem in c)
|
|
|
|
def test_multiset_operations(self):
|
|
# Verify that adding a zero counter will strip zeros and negatives
|
|
c = Counter(a=10, b=-2, c=0) + Counter()
|
|
self.assertEqual(dict(c), dict(a=10))
|
|
|
|
elements = 'abcd'
|
|
for i in range(1000):
|
|
# test random pairs of multisets
|
|
p = Counter(dict((elem, randrange(-2,4)) for elem in elements))
|
|
p.update(e=1, f=-1, g=0)
|
|
q = Counter(dict((elem, randrange(-2,4)) for elem in elements))
|
|
q.update(h=1, i=-1, j=0)
|
|
for counterop, numberop in [
|
|
(Counter.__add__, lambda x, y: max(0, x+y)),
|
|
(Counter.__sub__, lambda x, y: max(0, x-y)),
|
|
(Counter.__or__, lambda x, y: max(0,x,y)),
|
|
(Counter.__and__, lambda x, y: max(0, min(x,y))),
|
|
]:
|
|
result = counterop(p, q)
|
|
for x in elements:
|
|
self.assertEqual(numberop(p[x], q[x]), result[x],
|
|
(counterop, x, p, q))
|
|
# verify that results exclude non-positive counts
|
|
self.assert_(x>0 for x in result.values())
|
|
|
|
elements = 'abcdef'
|
|
for i in range(100):
|
|
# verify that random multisets with no repeats are exactly like sets
|
|
p = Counter(dict((elem, randrange(0, 2)) for elem in elements))
|
|
q = Counter(dict((elem, randrange(0, 2)) for elem in elements))
|
|
for counterop, setop in [
|
|
(Counter.__sub__, set.__sub__),
|
|
(Counter.__or__, set.__or__),
|
|
(Counter.__and__, set.__and__),
|
|
]:
|
|
counter_result = counterop(p, q)
|
|
set_result = setop(set(p.elements()), set(q.elements()))
|
|
self.assertEqual(counter_result, dict.fromkeys(set_result, 1))
|
|
|
|
import doctest, collections
|
|
|
|
def test_main(verbose=None):
|
|
NamedTupleDocs = doctest.DocTestSuite(module=collections)
|
|
test_classes = [TestNamedTuple, NamedTupleDocs, TestOneTrickPonyABCs,
|
|
TestCollectionABCs, TestCounter]
|
|
test_support.run_unittest(*test_classes)
|
|
test_support.run_doctest(collections, verbose)
|
|
|
|
if __name__ == "__main__":
|
|
test_main(verbose=True)
|