Python operator.__ne__方法代碼示例

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __ne__ [as 別名]
def test_dicts(self):
        # Verify that __eq__ and __ne__ work for dicts even if the keys and
        # values don't support anything other than __eq__ and __ne__ (and
        # __hash__).  Complex numbers are a fine example of that.
        import random
        imag1a = {}
        for i in range(50):
            imag1a[random.randrange(100)*1j] = random.randrange(100)*1j
        items = imag1a.items()
        random.shuffle(items)
        imag1b = {}
        for k, v in items:
            imag1b[k] = v
        imag2 = imag1b.copy()
        imag2[k] = v + 1.0
        self.assertTrue(imag1a == imag1a)
        self.assertTrue(imag1a == imag1b)
        self.assertTrue(imag2 == imag2)
        self.assertTrue(imag1a != imag2)
        for opname in ("lt", "le", "gt", "ge"):
            for op in opmap[opname]:
                self.assertRaises(TypeError, op, imag1a, imag2) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __ne__ [as 別名]
def __init__(self, attribute, value=None, op=None, probability=1, **kwargs):
        super(self.__class__, self).__init__(kwargs)
        self.__available_operators = {"==": operator.__eq__, "<": operator.__lt__,
                                      ">": operator.__gt__, "<=": operator.__le__,
                                      ">=": operator.__ge__, "!=": operator.__ne__,
                                      "IN": (operator.__ge__, operator.__le__)}

        self.attribute = attribute
        self.attribute_range = value
        self.probability = probability
        self.operator = op

        if self.attribute_range is None:
            raise ValueError("A valid attribute value must be provided")

        if self.operator is not None and self.operator in self.__available_operators:
            if self.operator == "IN":
                if not isinstance(self.attribute_range, list) or self.attribute_range[1] < self.attribute_range[0]:
                    raise ValueError("A range list is required to test IN condition")
            else:
                if not isinstance(self.attribute_range, int):
                    if not isinstance(self.attribute_range, float):
                        raise ValueError("A numeric value is required to test the selected condition")
        else:
            raise ValueError("The operator provided '%s' is not valid" % operator) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __ne__ [as 別名]
def test_dicts(self):
        # Verify that __eq__ and __ne__ work for dicts even if the keys and
        # values don't support anything other than __eq__ and __ne__ (and
        # __hash__).  Complex numbers are a fine example of that.
        import random
        imag1a = {}
        for i in range(50):
            imag1a[random.randrange(100)*1j] = random.randrange(100)*1j
        items = list(imag1a.items())
        random.shuffle(items)
        imag1b = {}
        for k, v in items:
            imag1b[k] = v
        imag2 = imag1b.copy()
        imag2[k] = v + 1.0
        self.assertEqual(imag1a, imag1a)
        self.assertEqual(imag1a, imag1b)
        self.assertEqual(imag2, imag2)
        self.assertTrue(imag1a != imag2)
        for opname in ("lt", "le", "gt", "ge"):
            for op in opmap[opname]:
                self.assertRaises(TypeError, op, imag1a, imag2) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __ne__ [as 別名]
def test_dicts(self):
        # Verify that __eq__ and __ne__ work for dicts even if the keys and
        # values don't support anything other than __eq__ and __ne__ (and
        # __hash__).  Complex numbers are a fine example of that.
        import random
        imag1a = {}
        for i in range(50):
            imag1a[random.randrange(100)*1j] = random.randrange(100)*1j
        items = imag1a.items()
        random.shuffle(items)
        imag1b = {}
        for k, v in items:
            imag1b[k] = v
        imag2 = imag1b.copy()
        imag2[k] = v + 1.0
        self.assert_(imag1a == imag1a)
        self.assert_(imag1a == imag1b)
        self.assert_(imag2 == imag2)
        self.assert_(imag1a != imag2)
        for opname in ("lt", "le", "gt", "ge"):
            for op in opmap[opname]:
                self.assertRaises(TypeError, op, imag1a, imag2) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __ne__ [as 別名]
def __ne__(self, other):
        return other is not None 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __ne__ [as 別名]
def __ne__(self, other):
        return self.x != other 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __ne__ [as 別名]
def test_misbehavin(self):
        class Misb:
            def __lt__(self_, other): return 0
            def __gt__(self_, other): return 0
            def __eq__(self_, other): return 0
            def __le__(self_, other): self.fail("This shouldn't happen")
            def __ge__(self_, other): self.fail("This shouldn't happen")
            def __ne__(self_, other): self.fail("This shouldn't happen")
            def __cmp__(self_, other): raise RuntimeError, "expected"
        a = Misb()
        b = Misb()
        self.assertEqual(a<b, 0)
        self.assertEqual(a==b, 0)
        self.assertEqual(a>b, 0)
        self.assertRaises(RuntimeError, cmp, a, b) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __ne__ [as 別名]
def __ne__(self, other):
            """
            Implement cooperation with the right-hand side argument of ``!=``.

            Python 3 seems to have dropped this cooperation in this very narrow
            circumstance.
            """
            if isinstance(other, _EllipticCurve):
                return super(_EllipticCurve, self).__ne__(other)
            return NotImplemented 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import __ne__ [as 別名]
def __ne__(self, other):
        return self._compare(other, operator.__ne__)