Lines Matching defs:the

186         # Break the cycles.
221         # For those the result should be the same as repr().
225         # it sorted a dict display if and only if the display required
382         # of how small the dictionary may be.
383         # Before the change, on 32-bit Windows pformat() gave order
390         # The next one is kind of goofy.  The sorted order depends on the
392         # Python 2.5, this was in the test_same_as_repr() test.  It's worth
409         words = 'the quick brown fox jumped over a lazy dog'.split()
413 OrderedDict([('the', 0),
424         words = 'the quick brown fox jumped over a lazy dog'.split()
436               'the': 0})""")
440 mappingproxy(OrderedDict([('the', 0),
462             the=0,
474 namespace(the=0,
487             the=0,
499 AdvancedNamespace(the=0,
627         # compares the pretty-printed repr against a string hard-coded in
628         # the test.  The hard-coded repr depends on the sort order of
631         # However, as the docs point out: "Since sets only define
632         # partial ordering (subset relationships), the output of the
635         # In a nutshell, the test assumes frozenset({0}) will always
645         # algorithm cause the test to fail when it should pass.
646         # XXX Or changes to the dictionary implementation...
876         b = Orderable(hash(a))  # should have the same hash value
895         fox = 'the quick brown fox jumped over a lazy dog'
897 ('the quick brown '
903  'b': 'the quick brown '
908         # - \n always triggers a new line in the pprint
911         # - an apostrophe doesn't disrupt the pprint
945         # Check that the pprint is a usable repr
1027         # Check that the pprint is a usable repr
1080         words = 'the quick brown fox jumped over a lazy dog'.split()
1093              'the': 0})""")
1109         words = 'the quick brown fox jumped over a lazy dog'.split()
1122           'the': 0})""")
1134           'the': 0},
1135          OrderedDict([('the', 0),
1150         words = 'the quick brown fox jumped over a lazy dog'.split()
1154 deque([('the', 0),
1178         words = 'the quick brown fox jumped over a lazy dog'.split()
1190  'the': 0}""")
1195         words = 'the quick brown fox jumped over a lazy dog'.split()
1199 [('the', 0),
1212         d = collections.UserString('the quick brown fox jumped over a lazy dog')
1215 ('the quick brown '
1220 {1: 'the quick '