import unittest, doctest import inspect from test import test_support from collections import namedtuple, Counter, OrderedDict from test import mapping_tests import pickle, cPickle, copy from random import randrange, shuffle import keyword import re import sys from collections import Hashable, Iterable, Iterator from collections import Sized, Container, Callable from collections import Set, MutableSet from collections import Mapping, MutableMapping from collections import Sequence, MutableSequence TestNT = namedtuple('TestNT', 'x y z') # type used for pickle tests class TestNamedTuple(unittest.TestCase): def test_factory(self): Point = namedtuple('Point', 'x y') self.assertEqual(Point.__name__, 'Point') self.assertEqual(Point.__slots__, ()) self.assertEqual(Point.__module__, __name__) self.assertEqual(Point.__getitem__, tuple.__getitem__) self.assertEqual(Point._fields, ('x', 'y')) self.assertRaises(ValueError, namedtuple, 'abc%', 'efg ghi') # type has non-alpha char self.assertRaises(ValueError, namedtuple, 'class', 'efg ghi') # type has keyword self.assertRaises(ValueError, namedtuple, '9abc', 'efg ghi') # type starts with digit self.assertRaises(ValueError, namedtuple, 'abc', 'efg g%hi') # field with non-alpha char self.assertRaises(ValueError, namedtuple, 'abc', 'abc class') # field has keyword self.assertRaises(ValueError, namedtuple, 'abc', '8efg 9ghi') # field starts with digit self.assertRaises(ValueError, namedtuple, 'abc', '_efg ghi') # field with leading underscore self.assertRaises(ValueError, namedtuple, 'abc', 'efg efg ghi') # duplicate field namedtuple('Point0', 'x1 y2') # Verify that numbers are allowed in names namedtuple('_', 'a b c') # Test leading underscores in a typename nt = namedtuple('nt', u'the quick brown fox') # check unicode input self.assertNotIn("u'", repr(nt._fields)) nt = namedtuple('nt', (u'the', u'quick')) # check unicode input self.assertNotIn("u'", repr(nt._fields)) self.assertRaises(TypeError, Point._make, [11]) # catch too few args self.assertRaises(TypeError, Point._make, [11, 22, 33]) # catch too many args @unittest.skipIf(sys.flags.optimize >= 2, "Docstrings are omitted with -O2 and above") def test_factory_doc_attr(self): Point = namedtuple('Point', 'x y') self.assertEqual(Point.__doc__, 'Point(x, y)') def test_name_fixer(self): for spec, renamed in [ [('efg', 'g%hi'), ('efg', '_1')], # field with non-alpha char [('abc', 'class'), ('abc', '_1')], # field has keyword [('8efg', '9ghi'), ('_0', '_1')], # field starts with digit [('abc', '_efg'), ('abc', '_1')], # field with leading underscore [('abc', 'efg', 'efg', 'ghi'), ('abc', 'efg', '_2', 'ghi')], # duplicate field [('abc', '', 'x'), ('abc', '_1', 'x')], # fieldname is a space ]: self.assertEqual(namedtuple('NT', spec, rename=True)._fields, renamed) def test_instance(self): Point = namedtuple('Point', 'x y') p = Point(11, 22) self.assertEqual(p, Point(x=11, y=22)) self.assertEqual(p, Point(11, y=22)) self.assertEqual(p, Point(y=22, x=11)) self.assertEqual(p, Point(*(11, 22))) self.assertEqual(p, Point(**dict(x=11, y=22))) self.assertRaises(TypeError, Point, 1) # too few args self.assertRaises(TypeError, Point, 1, 2, 3) # too many args self.assertRaises(TypeError, eval, 'Point(XXX=1, y=2)', locals()) # wrong keyword argument self.assertRaises(TypeError, eval, 'Point(x=1)', locals()) # missing keyword argument self.assertEqual(repr(p), 'Point(x=11, y=22)') self.assertNotIn('__dict__', dir(p)) # verify instance has no dict self.assertNotIn('__weakref__', dir(p)) self.assertEqual(p, Point._make([11, 22])) # test _make classmethod self.assertEqual(p._fields, ('x', 'y')) # test _fields attribute self.assertEqual(p._replace(x=1), (1, 22)) # test _replace method self.assertEqual(p._asdict(), dict(x=11, y=22)) # test _asdict method try: p._replace(x=1, error=2) except ValueError: pass else: self._fail('Did not detect an incorrect fieldname') # verify that field string can have commas Point = namedtuple('Point', 'x, y') p = Point(x=11, y=22) self.assertEqual(repr(p), 'Point(x=11, y=22)') # verify that fieldspec can be a non-string sequence Point = namedtuple('Point', ('x', 'y')) p = Point(x=11, y=22) self.assertEqual(repr(p), 'Point(x=11, y=22)') def test_tupleness(self): Point = namedtuple('Point', 'x y') p = Point(11, 22) self.assertIsInstance(p, tuple) self.assertEqual(p, (11, 22)) # matches a real tuple self.assertEqual(tuple(p), (11, 22)) # coercable to a real tuple self.assertEqual(list(p), [11, 22]) # coercable to a list self.assertEqual(max(p), 22) # iterable self.assertEqual(max(*p), 22) # star-able x, y = p self.assertEqual(p, (x, y)) # unpacks like a tuple self.assertEqual((p[0], p[1]), (11, 22)) # indexable like a tuple self.assertRaises(IndexError, p.__getitem__, 3) self.assertEqual(p.x, x) self.assertEqual(p.y, y) self.assertRaises(AttributeError, eval, 'p.z', locals()) def test_odd_sizes(self): Zero = namedtuple('Zero', '') self.assertEqual(Zero(), ()) self.assertEqual(Zero._make([]), ()) self.assertEqual(repr(Zero()), 'Zero()') self.assertEqual(Zero()._asdict(), {}) self.assertEqual(Zero()._fields, ()) Dot = namedtuple('Dot', 'd') self.assertEqual(Dot(1), (1,)) self.assertEqual(Dot._make([1]), (1,)) self.assertEqual(Dot(1).d, 1) self.assertEqual(repr(Dot(1)), 'Dot(d=1)') self.assertEqual(Dot(1)._asdict(), {'d':1}) self.assertEqual(Dot(1)._replace(d=999), (999,)) self.assertEqual(Dot(1)._fields, ('d',)) n = 5000 import string, random names = list(set(''.join([random.choice(string.ascii_letters) for j in range(10)]) for i in range(n))) n = len(names) Big = namedtuple('Big', names) b = Big(*range(n)) self.assertEqual(b, tuple(range(n))) self.assertEqual(Big._make(range(n)), tuple(range(n))) for pos, name in enumerate(names): self.assertEqual(getattr(b, name), pos) repr(b) # make sure repr() doesn't blow-up d = b._asdict() d_expected = dict(zip(names, range(n))) self.assertEqual(d, d_expected) b2 = b._replace(**dict([(names[1], 999),(names[-5], 42)])) b2_expected = range(n) b2_expected[1] = 999 b2_expected[-5] = 42 self.assertEqual(b2, tuple(b2_expected)) self.assertEqual(b._fields, tuple(names)) def test_pickle(self): p = TestNT(x=10, y=20, z=30) for module in pickle, cPickle: loads = getattr(module, 'loads') dumps = getattr(module, 'dumps') for protocol in -1, 0, 1, 2: q = loads(dumps(p, protocol)) self.assertEqual(p, q) self.assertEqual(p._fields, q._fields) def test_copy(self): p = TestNT(x=10, y=20, z=30) for copier in copy.copy, copy.deepcopy: q = copier(p) self.assertEqual(p, q) self.assertEqual(p._fields, q._fields) def test_name_conflicts(self): # Some names like "self", "cls", "tuple", "itemgetter", and "property" # failed when used as field names. Test to make sure these now work. T = namedtuple('T', 'itemgetter property self cls tuple') t = T(1, 2, 3, 4, 5) self.assertEqual(t, (1,2,3,4,5)) newt = t._replace(itemgetter=10, property=20, self=30, cls=40, tuple=50) self.assertEqual(newt, (10,20,30,40,50)) # Broader test of all interesting names in a template with test_support.captured_stdout() as template: T = namedtuple('T', 'x', verbose=True) words = set(re.findall('[A-Za-z]+', template.getvalue())) words -= set(keyword.kwlist) T = namedtuple('T', words) # test __new__ values = tuple(range(len(words))) t = T(*values) self.assertEqual(t, values) t = T(**dict(zip(T._fields, values))) self.assertEqual(t, values) # test _make t = T._make(values) self.assertEqual(t, values) # exercise __repr__ repr(t) # test _asdict self.assertEqual(t._asdict(), dict(zip(T._fields, values))) # test _replace t = T._make(values) newvalues = tuple(v*10 for v in values) newt = t._replace(**dict(zip(T._fields, newvalues))) self.assertEqual(newt, newvalues) # test _fields self.assertEqual(T._fields, tuple(words)) # test __getnewargs__ self.assertEqual(t.__getnewargs__(), values) class ABCTestCase(unittest.TestCase): def validate_abstract_methods(self, abc, *names): methodstubs = dict.fromkeys(names, lambda s, *args: 0) # everything should work will all required methods are present C = type('C', (abc,), methodstubs) C() # instantiation should fail if a required method is missing for name in names: stubs = methodstubs.copy() del stubs[name] C = type('C', (abc,), stubs) self.assertRaises(TypeError, C, name) def validate_isinstance(self, abc, name): stub = lambda s, *args: 0 # new-style class C = type('C', (object,), {name: stub}) self.assertIsInstance(C(), abc) self.assertTrue(issubclass(C, abc)) # old-style class class C: pass setattr(C, name, stub) self.assertIsInstance(C(), abc) self.assertTrue(issubclass(C, abc)) # new-style class C = type('C', (object,), {'__hash__': None}) self.assertNotIsInstance(C(), abc) self.assertFalse(issubclass(C, abc)) # old-style class class C: pass self.assertNotIsInstance(C(), abc) self.assertFalse(issubclass(C, abc)) class TestOneTrickPonyABCs(ABCTestCase): def test_Hashable(self): # Check some non-hashables non_samples = [list(), set(), dict()] for x in non_samples: self.assertNotIsInstance(x, Hashable) self.assertFalse(issubclass(type(x), Hashable), repr(type(x))) # Check some hashables samples = [None, int(), float(), complex(), str(), tuple(), frozenset(), int, list, object, type, ] for x in samples: self.assertIsInstance(x, Hashable) self.assertTrue(issubclass(type(x), Hashable), repr(type(x))) self.assertRaises(TypeError, Hashable) # Check direct subclassing class H(Hashable): def __hash__(self): return super(H, self).__hash__() __eq__ = Hashable.__eq__ # Silence Py3k warning self.assertEqual(hash(H()), 0) self.assertFalse(issubclass(int, H)) self.validate_abstract_methods(Hashable, '__hash__') self.validate_isinstance(Hashable, '__hash__') def test_Iterable(self): # Check some non-iterables non_samples = [None, 42, 3.14, 1j] for x in non_samples: self.assertNotIsInstance(x, Iterable) self.assertFalse(issubclass(type(x), Iterable), repr(type(x))) # Check some iterables samples = [str(), tuple(), list(), set(), frozenset(), dict(), dict().keys(), dict().items(), dict().values(), (lambda: (yield))(), (x for x in []), ] for x in samples: self.assertIsInstance(x, Iterable) self.assertTrue(issubclass(type(x), Iterable), repr(type(x))) # Check direct subclassing class I(Iterable): def __iter__(self): return super(I, self).__iter__() self.assertEqual(list(I()), []) self.assertFalse(issubclass(str, I)) self.validate_abstract_methods(Iterable, '__iter__') self.validate_isinstance(Iterable, '__iter__') def test_Iterator(self): non_samples = [None, 42, 3.14, 1j, "".encode('ascii'), "", (), [], {}, set()] for x in non_samples: self.assertNotIsInstance(x, Iterator) self.assertFalse(issubclass(type(x), Iterator), repr(type(x))) samples = [iter(str()), iter(tuple()), iter(list()), iter(dict()), iter(set()), iter(frozenset()), iter(dict().keys()), iter(dict().items()), iter(dict().values()), (lambda: (yield))(), (x for x in []), ] for x in samples: self.assertIsInstance(x, Iterator) self.assertTrue(issubclass(type(x), Iterator), repr(type(x))) self.validate_abstract_methods(Iterator, 'next') self.validate_isinstance(Iterator, 'next') def test_Sized(self): non_samples = [None, 42, 3.14, 1j, (lambda: (yield))(), (x for x in []), ] for x in non_samples: self.assertNotIsInstance(x, Sized) self.assertFalse(issubclass(type(x), Sized), repr(type(x))) samples = [str(), tuple(), list(), set(), frozenset(), dict(), dict().keys(), dict().items(), dict().values(), ] for x in samples: self.assertIsInstance(x, Sized) self.assertTrue(issubclass(type(x), Sized), repr(type(x))) self.validate_abstract_methods(Sized, '__len__') self.validate_isinstance(Sized, '__len__') def test_Container(self): non_samples = [None, 42, 3.14, 1j, (lambda: (yield))(), (x for x in []), ] for x in non_samples: self.assertNotIsInstance(x, Container) self.assertFalse(issubclass(type(x), Container), repr(type(x))) samples = [str(), tuple(), list(), set(), frozenset(), dict(), dict().keys(), dict().items(), ] for x in samples: self.assertIsInstance(x, Container) self.assertTrue(issubclass(type(x), Container), repr(type(x))) self.validate_abstract_methods(Container, '__contains__') self.validate_isinstance(Container, '__contains__') def test_Callable(self): non_samples = [None, 42, 3.14, 1j, "", "".encode('ascii'), (), [], {}, set(), (lambda: (yield))(), (x for x in []), ] for x in non_samples: self.assertNotIsInstance(x, Callable) self.assertFalse(issubclass(type(x), Callable), repr(type(x))) samples = [lambda: None, type, int, object, len, list.append, [].append, ] for x in samples: self.assertIsInstance(x, Callable) self.assertTrue(issubclass(type(x), Callable), repr(type(x))) self.validate_abstract_methods(Callable, '__call__') self.validate_isinstance(Callable, '__call__') def test_direct_subclassing(self): for B in Hashable, Iterable, Iterator, Sized, Container, Callable: class C(B): pass self.assertTrue(issubclass(C, B)) self.assertFalse(issubclass(int, C)) def test_registration(self): for B in Hashable, Iterable, Iterator, Sized, Container, Callable: class C: __metaclass__ = type __hash__ = None # Make sure it isn't hashable by default self.assertFalse(issubclass(C, B), B.__name__) B.register(C) self.assertTrue(issubclass(C, B)) class WithSet(MutableSet): def __init__(self, it=()): self.data = set(it) def __len__(self): return len(self.data) def __iter__(self): return iter(self.data) def __contains__(self, item): return item in self.data def add(self, item): self.data.add(item) def discard(self, item): self.data.discard(item) class TestCollectionABCs(ABCTestCase): # XXX For now, we only test some virtual inheritance properties. # We should also test the proper behavior of the collection ABCs # as real base classes or mix-in classes. def test_Set(self): for sample in [set, frozenset]: self.assertIsInstance(sample(), Set) self.assertTrue(issubclass(sample, Set)) self.validate_abstract_methods(Set, '__contains__', '__iter__', '__len__') def test_hash_Set(self): class OneTwoThreeSet(Set): def __init__(self): self.contents = [1, 2, 3] def __contains__(self, x): return x in self.contents def __len__(self): return len(self.contents) def __iter__(self): return iter(self.contents) def __hash__(self): return self._hash() a, b = OneTwoThreeSet(), OneTwoThreeSet() self.assertTrue(hash(a) == hash(b)) def test_MutableSet(self): self.assertIsInstance(set(), MutableSet) self.assertTrue(issubclass(set, MutableSet)) self.assertNotIsInstance(frozenset(), MutableSet) self.assertFalse(issubclass(frozenset, MutableSet)) self.validate_abstract_methods(MutableSet, '__contains__', '__iter__', '__len__', 'add', 'discard') def test_issue_5647(self): # MutableSet.__iand__ mutated the set during iteration s = WithSet('abcd') s &= WithSet('cdef') # This used to fail self.assertEqual(set(s), set('cd')) def test_issue_4920(self): # MutableSet.pop() method did not work class MySet(collections.MutableSet): __slots__=['__s'] def __init__(self,items=None): if items is None: items=[] self.__s=set(items) def __contains__(self,v): return v in self.__s def __iter__(self): return iter(self.__s) def __len__(self): return len(self.__s) def add(self,v): result=v not in self.__s self.__s.add(v) return result def discard(self,v): result=v in self.__s self.__s.discard(v) return result def __repr__(self): return "MySet(%s)" % repr(list(self)) s = MySet([5,43,2,1]) self.assertEqual(s.pop(), 1) def test_Mapping(self): for sample in [dict]: self.assertIsInstance(sample(), Mapping) self.assertTrue(issubclass(sample, Mapping)) self.validate_abstract_methods(Mapping, '__contains__', '__iter__', '__len__', '__getitem__') def test_MutableMapping(self): for sample in [dict]: self.assertIsInstance(sample(), MutableMapping) self.assertTrue(issubclass(sample, MutableMapping)) self.validate_abstract_methods(MutableMapping, '__contains__', '__iter__', '__len__', '__getitem__', '__setitem__', '__delitem__') def test_Sequence(self): for sample in [tuple, list, str]: self.assertIsInstance(sample(), Sequence) self.assertTrue(issubclass(sample, Sequence)) self.assertTrue(issubclass(basestring, Sequence)) self.assertIsInstance(range(10), Sequence) self.assertTrue(issubclass(xrange, Sequence)) self.assertTrue(issubclass(str, Sequence)) self.validate_abstract_methods(Sequence, '__contains__', '__iter__', '__len__', '__getitem__') def test_MutableSequence(self): for sample in [tuple, str]: self.assertNotIsInstance(sample(), MutableSequence) self.assertFalse(issubclass(sample, MutableSequence)) for sample in [list]: self.assertIsInstance(sample(), MutableSequence) self.assertTrue(issubclass(sample, MutableSequence)) self.assertFalse(issubclass(basestring, MutableSequence)) self.validate_abstract_methods(MutableSequence, '__contains__', '__iter__', '__len__', '__getitem__', '__setitem__', '__delitem__', 'insert') class TestCounter(unittest.TestCase): def test_basics(self): c = Counter('abcaba') self.assertEqual(c, Counter({'a':3 , 'b': 2, 'c': 1})) self.assertEqual(c, Counter(a=3, b=2, c=1)) self.assertIsInstance(c, dict) self.assertIsInstance(c, Mapping) self.assertTrue(issubclass(Counter, dict)) self.assertTrue(issubclass(Counter, Mapping)) self.assertEqual(len(c), 3) self.assertEqual(sum(c.values()), 6) self.assertEqual(sorted(c.values()), [1, 2, 3]) self.assertEqual(sorted(c.keys()), ['a', 'b', 'c']) self.assertEqual(sorted(c), ['a', 'b', 'c']) self.assertEqual(sorted(c.items()), [('a', 3), ('b', 2), ('c', 1)]) self.assertEqual(c['b'], 2) self.assertEqual(c['z'], 0) with test_support.check_py3k_warnings(): self.assertEqual(c.has_key('c'), True) self.assertEqual(c.has_key('z'), False) self.assertEqual(c.__contains__('c'), True) self.assertEqual(c.__contains__('z'), False) self.assertEqual(c.get('b', 10), 2) self.assertEqual(c.get('z', 10), 10) self.assertEqual(c, dict(a=3, b=2, c=1)) self.assertEqual(repr(c), "Counter({'a': 3, 'b': 2, 'c': 1})") self.assertEqual(c.most_common(), [('a', 3), ('b', 2), ('c', 1)]) for i in range(5): self.assertEqual(c.most_common(i), [('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.assertNotIn('f', c) for i in range(3): elem, cnt = c.popitem() self.assertNotIn(elem, c) 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.assertTrue(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.assertTrue(elem in c) self.assertIn(elem, 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.assertTrue(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)) class TestOrderedDict(unittest.TestCase): def test_init(self): with self.assertRaises(TypeError): OrderedDict([('a', 1), ('b', 2)], None) # too many args pairs = [('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e', 5)] self.assertEqual(sorted(OrderedDict(dict(pairs)).items()), pairs) # dict input self.assertEqual(sorted(OrderedDict(**dict(pairs)).items()), pairs) # kwds input self.assertEqual(list(OrderedDict(pairs).items()), pairs) # pairs input self.assertEqual(list(OrderedDict([('a', 1), ('b', 2), ('c', 9), ('d', 4)], c=3, e=5).items()), pairs) # mixed input # make sure no positional args conflict with possible kwdargs self.assertEqual(inspect.getargspec(OrderedDict.__dict__['__init__']).args, ['self']) # Make sure that direct calls to __init__ do not clear previous contents d = OrderedDict([('a', 1), ('b', 2), ('c', 3), ('d', 44), ('e', 55)]) d.__init__([('e', 5), ('f', 6)], g=7, d=4) self.assertEqual(list(d.items()), [('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e', 5), ('f', 6), ('g', 7)]) def test_update(self): with self.assertRaises(TypeError): OrderedDict().update([('a', 1), ('b', 2)], None) # too many args pairs = [('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e', 5)] od = OrderedDict() od.update(dict(pairs)) self.assertEqual(sorted(od.items()), pairs) # dict input od = OrderedDict() od.update(**dict(pairs)) self.assertEqual(sorted(od.items()), pairs) # kwds input od = OrderedDict() od.update(pairs) self.assertEqual(list(od.items()), pairs) # pairs input od = OrderedDict() od.update([('a', 1), ('b', 2), ('c', 9), ('d', 4)], c=3, e=5) self.assertEqual(list(od.items()), pairs) # mixed input # Make sure that direct calls to update do not clear previous contents # add that updates items are not moved to the end d = OrderedDict([('a', 1), ('b', 2), ('c', 3), ('d', 44), ('e', 55)]) d.update([('e', 5), ('f', 6)], g=7, d=4) self.assertEqual(list(d.items()), [('a', 1), ('b', 2), ('c', 3), ('d', 4), ('e', 5), ('f', 6), ('g', 7)]) def test_clear(self): pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] shuffle(pairs) od = OrderedDict(pairs) self.assertEqual(len(od), len(pairs)) od.clear() self.assertEqual(len(od), 0) def test_delitem(self): pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] od = OrderedDict(pairs) del od['a'] self.assertNotIn('a', od) with self.assertRaises(KeyError): del od['a'] self.assertEqual(list(od.items()), pairs[:2] + pairs[3:]) def test_setitem(self): od = OrderedDict([('d', 1), ('b', 2), ('c', 3), ('a', 4), ('e', 5)]) od['c'] = 10 # existing element od['f'] = 20 # new element self.assertEqual(list(od.items()), [('d', 1), ('b', 2), ('c', 10), ('a', 4), ('e', 5), ('f', 20)]) def test_iterators(self): pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] shuffle(pairs) od = OrderedDict(pairs) self.assertEqual(list(od), [t[0] for t in pairs]) self.assertEqual(od.keys()[:], [t[0] for t in pairs]) self.assertEqual(od.values()[:], [t[1] for t in pairs]) self.assertEqual(od.items()[:], pairs) self.assertEqual(list(od.iterkeys()), [t[0] for t in pairs]) self.assertEqual(list(od.itervalues()), [t[1] for t in pairs]) self.assertEqual(list(od.iteritems()), pairs) self.assertEqual(list(reversed(od)), [t[0] for t in reversed(pairs)]) def test_popitem(self): pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] shuffle(pairs) od = OrderedDict(pairs) while pairs: self.assertEqual(od.popitem(), pairs.pop()) with self.assertRaises(KeyError): od.popitem() self.assertEqual(len(od), 0) def test_pop(self): pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] shuffle(pairs) od = OrderedDict(pairs) shuffle(pairs) while pairs: k, v = pairs.pop() self.assertEqual(od.pop(k), v) with self.assertRaises(KeyError): od.pop('xyz') self.assertEqual(len(od), 0) self.assertEqual(od.pop(k, 12345), 12345) def test_equality(self): pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] shuffle(pairs) od1 = OrderedDict(pairs) od2 = OrderedDict(pairs) self.assertEqual(od1, od2) # same order implies equality pairs = pairs[2:] + pairs[:2] od2 = OrderedDict(pairs) self.assertNotEqual(od1, od2) # different order implies inequality # comparison to regular dict is not order sensitive self.assertEqual(od1, dict(od2)) self.assertEqual(dict(od2), od1) # different length implied inequality self.assertNotEqual(od1, OrderedDict(pairs[:-1])) def test_copying(self): # Check that ordered dicts are copyable, deepcopyable, picklable, # and have a repr/eval round-trip pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] od = OrderedDict(pairs) update_test = OrderedDict() update_test.update(od) for i, dup in enumerate([ od.copy(), copy.copy(od), copy.deepcopy(od), pickle.loads(pickle.dumps(od, 0)), pickle.loads(pickle.dumps(od, 1)), pickle.loads(pickle.dumps(od, 2)), pickle.loads(pickle.dumps(od, -1)), eval(repr(od)), update_test, OrderedDict(od), ]): self.assertTrue(dup is not od) self.assertEquals(dup, od) self.assertEquals(list(dup.items()), list(od.items())) self.assertEquals(len(dup), len(od)) self.assertEquals(type(dup), type(od)) def test_yaml_linkage(self): # Verify that __reduce__ is setup in a way that supports PyYAML's dump() feature. # In yaml, lists are native but tuples are not. pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] od = OrderedDict(pairs) # yaml.dump(od) --> # '!!python/object/apply:__main__.OrderedDict\n- - [a, 1]\n - [b, 2]\n' self.assertTrue(all(type(pair)==list for pair in od.__reduce__()[1])) def test_reduce_not_too_fat(self): # do not save instance dictionary if not needed pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] od = OrderedDict(pairs) self.assertEqual(len(od.__reduce__()), 2) od.x = 10 self.assertEqual(len(od.__reduce__()), 3) def test_repr(self): od = OrderedDict([('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)]) self.assertEqual(repr(od), "OrderedDict([('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)])") self.assertEqual(eval(repr(od)), od) self.assertEqual(repr(OrderedDict()), "OrderedDict()") def test_setdefault(self): pairs = [('c', 1), ('b', 2), ('a', 3), ('d', 4), ('e', 5), ('f', 6)] shuffle(pairs) od = OrderedDict(pairs) pair_order = list(od.items()) self.assertEqual(od.setdefault('a', 10), 3) # make sure order didn't change self.assertEqual(list(od.items()), pair_order) self.assertEqual(od.setdefault('x', 10), 10) # make sure 'x' is added to the end self.assertEqual(list(od.items())[-1], ('x', 10)) def test_reinsert(self): # Given insert a, insert b, delete a, re-insert a, # verify that a is now later than b. od = OrderedDict() od['a'] = 1 od['b'] = 2 del od['a'] od['a'] = 1 self.assertEqual(list(od.items()), [('b', 2), ('a', 1)]) class GeneralMappingTests(mapping_tests.BasicTestMappingProtocol): type2test = OrderedDict def test_popitem(self): d = self._empty_mapping() self.assertRaises(KeyError, d.popitem) class MyOrderedDict(OrderedDict): pass class SubclassMappingTests(mapping_tests.BasicTestMappingProtocol): type2test = MyOrderedDict def test_popitem(self): d = self._empty_mapping() self.assertRaises(KeyError, d.popitem) import collections def test_main(verbose=None): NamedTupleDocs = doctest.DocTestSuite(module=collections) test_classes = [TestNamedTuple, NamedTupleDocs, TestOneTrickPonyABCs, TestCollectionABCs, TestCounter, TestOrderedDict, GeneralMappingTests, SubclassMappingTests] test_support.run_unittest(*test_classes) test_support.run_doctest(collections, verbose) if __name__ == "__main__": test_main(verbose=True)