Python operator.pow方法代碼示例

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_pow(Poly):
    d = Poly.domain + random((2,))*.25
    w = Poly.window + random((2,))*.25
    tgt = Poly([1], domain=d, window=w)
    tst = Poly([1, 2, 3], domain=d, window=w)
    for i in range(5):
        assert_poly_almost_equal(tst**i, tgt)
        tgt = tgt * tst
    # default domain and window
    tgt = Poly([1])
    tst = Poly([1, 2, 3])
    for i in range(5):
        assert_poly_almost_equal(tst**i, tgt)
        tgt = tgt * tst
    # check error for invalid powers
    assert_raises(ValueError, op.pow, tgt, 1.5)
    assert_raises(ValueError, op.pow, tgt, -1) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_arith(self):
        self._test_op(self.panel, operator.add)
        self._test_op(self.panel, operator.sub)
        self._test_op(self.panel, operator.mul)
        self._test_op(self.panel, operator.truediv)
        self._test_op(self.panel, operator.floordiv)
        self._test_op(self.panel, operator.pow)

        self._test_op(self.panel, lambda x, y: y + x)
        self._test_op(self.panel, lambda x, y: y - x)
        self._test_op(self.panel, lambda x, y: y * x)
        self._test_op(self.panel, lambda x, y: y / x)
        self._test_op(self.panel, lambda x, y: y ** x)

        self._test_op(self.panel, lambda x, y: x + y)  # panel + 1
        self._test_op(self.panel, lambda x, y: x - y)  # panel - 1
        self._test_op(self.panel, lambda x, y: x * y)  # panel * 1
        self._test_op(self.panel, lambda x, y: x / y)  # panel / 1
        self._test_op(self.panel, lambda x, y: x ** y)  # panel ** 1

        pytest.raises(Exception, self.panel.__add__,
                      self.panel['ItemA']) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_arith_flex_panel(self):
        ops = ['add', 'sub', 'mul', 'div',
               'truediv', 'pow', 'floordiv', 'mod']
        if not compat.PY3:
            aliases = {}
        else:
            aliases = {'div': 'truediv'}
        self.panel = self.panel.to_panel()

        for n in [np.random.randint(-50, -1), np.random.randint(1, 50), 0]:
            for op in ops:
                alias = aliases.get(op, op)
                f = getattr(operator, alias)
                exp = f(self.panel, n)
                result = getattr(self.panel, op)(n)
                assert_panel_equal(result, exp, check_panel_type=True)

                # rops
                r_f = lambda x, y: f(y, x)
                exp = r_f(self.panel, n)
                result = getattr(self.panel, 'r' + op)(n)
                assert_panel_equal(result, exp) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_binary_operators(self):

        # skipping for now #####
        import pytest
        pytest.skip("skipping sparse binary operators test")

        def _check_inplace_op(iop, op):
            tmp = self.bseries.copy()

            expected = op(tmp, self.bseries)
            iop(tmp, self.bseries)
            tm.assert_sp_series_equal(tmp, expected)

        inplace_ops = ['add', 'sub', 'mul', 'truediv', 'floordiv', 'pow']
        for op in inplace_ops:
            _check_inplace_op(getattr(operator, "i%s" % op),
                              getattr(operator, op)) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def _add_arithmetic_ops(cls):
        cls.__add__ = cls._create_arithmetic_method(operator.add)
        cls.__radd__ = cls._create_arithmetic_method(ops.radd)
        cls.__sub__ = cls._create_arithmetic_method(operator.sub)
        cls.__rsub__ = cls._create_arithmetic_method(ops.rsub)
        cls.__mul__ = cls._create_arithmetic_method(operator.mul)
        cls.__rmul__ = cls._create_arithmetic_method(ops.rmul)
        cls.__pow__ = cls._create_arithmetic_method(operator.pow)
        cls.__rpow__ = cls._create_arithmetic_method(ops.rpow)
        cls.__mod__ = cls._create_arithmetic_method(operator.mod)
        cls.__rmod__ = cls._create_arithmetic_method(ops.rmod)
        cls.__floordiv__ = cls._create_arithmetic_method(operator.floordiv)
        cls.__rfloordiv__ = cls._create_arithmetic_method(ops.rfloordiv)
        cls.__truediv__ = cls._create_arithmetic_method(operator.truediv)
        cls.__rtruediv__ = cls._create_arithmetic_method(ops.rtruediv)
        if not PY3:
            cls.__div__ = cls._create_arithmetic_method(operator.div)
            cls.__rdiv__ = cls._create_arithmetic_method(ops.rdiv)

        cls.__divmod__ = cls._create_arithmetic_method(divmod)
        cls.__rdivmod__ = cls._create_arithmetic_method(ops.rdivmod) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def _add_numeric_methods_binary(cls):
        """
        Add in numeric methods.
        """
        cls.__add__ = _make_arithmetic_op(operator.add, cls)
        cls.__radd__ = _make_arithmetic_op(ops.radd, cls)
        cls.__sub__ = _make_arithmetic_op(operator.sub, cls)
        cls.__rsub__ = _make_arithmetic_op(ops.rsub, cls)
        cls.__rpow__ = _make_arithmetic_op(ops.rpow, cls)
        cls.__pow__ = _make_arithmetic_op(operator.pow, cls)

        cls.__truediv__ = _make_arithmetic_op(operator.truediv, cls)
        cls.__rtruediv__ = _make_arithmetic_op(ops.rtruediv, cls)
        if not compat.PY3:
            cls.__div__ = _make_arithmetic_op(operator.div, cls)
            cls.__rdiv__ = _make_arithmetic_op(ops.rdiv, cls)

        # TODO: rmod? rdivmod?
        cls.__mod__ = _make_arithmetic_op(operator.mod, cls)
        cls.__floordiv__ = _make_arithmetic_op(operator.floordiv, cls)
        cls.__rfloordiv__ = _make_arithmetic_op(ops.rfloordiv, cls)
        cls.__divmod__ = _make_arithmetic_op(divmod, cls)
        cls.__mul__ = _make_arithmetic_op(operator.mul, cls)
        cls.__rmul__ = _make_arithmetic_op(ops.rmul, cls) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def add_flex_arithmetic_methods(cls):
    """
    Adds the full suite of flex arithmetic methods (``pow``, ``mul``, ``add``)
    to the class.

    Parameters
    ----------
    cls : class
        flex methods will be defined and pinned to this class
    """
    flex_arith_method, flex_comp_method, _, _, _ = _get_method_wrappers(cls)
    new_methods = _create_methods(cls, flex_arith_method,
                                  flex_comp_method, bool_method=None,
                                  special=False)
    new_methods.update(dict(multiply=new_methods['mul'],
                            subtract=new_methods['sub'],
                            divide=new_methods['div']))
    # opt out of bool flex methods for now
    assert not any(kname in new_methods for kname in ('ror_', 'rxor', 'rand_'))

    add_methods(cls, new_methods=new_methods)


# -----------------------------------------------------------------------------
# Series 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def check_pow(Poly):
    d = Poly.domain + random((2,))*.25
    w = Poly.window + random((2,))*.25
    tgt = Poly([1], domain=d, window=w)
    tst = Poly([1, 2, 3], domain=d, window=w)
    for i in range(5):
        assert_poly_almost_equal(tst**i, tgt)
        tgt = tgt * tst
    # default domain and window
    tgt = Poly([1])
    tst = Poly([1, 2, 3])
    for i in range(5):
        assert_poly_almost_equal(tst**i, tgt)
        tgt = tgt * tst
    # check error for invalid powers
    assert_raises(ValueError, op.pow, tgt, 1.5)
    assert_raises(ValueError, op.pow, tgt, -1) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_arith(self):
        with catch_warnings(record=True):
            self._test_op(self.panel, operator.add)
            self._test_op(self.panel, operator.sub)
            self._test_op(self.panel, operator.mul)
            self._test_op(self.panel, operator.truediv)
            self._test_op(self.panel, operator.floordiv)
            self._test_op(self.panel, operator.pow)

            self._test_op(self.panel, lambda x, y: y + x)
            self._test_op(self.panel, lambda x, y: y - x)
            self._test_op(self.panel, lambda x, y: y * x)
            self._test_op(self.panel, lambda x, y: y / x)
            self._test_op(self.panel, lambda x, y: y ** x)

            self._test_op(self.panel, lambda x, y: x + y)  # panel + 1
            self._test_op(self.panel, lambda x, y: x - y)  # panel - 1
            self._test_op(self.panel, lambda x, y: x * y)  # panel * 1
            self._test_op(self.panel, lambda x, y: x / y)  # panel / 1
            self._test_op(self.panel, lambda x, y: x ** y)  # panel ** 1

            pytest.raises(Exception, self.panel.__add__,
                          self.panel['ItemA']) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_arith_flex_panel(self):
        with catch_warnings(record=True):
            ops = ['add', 'sub', 'mul', 'div',
                   'truediv', 'pow', 'floordiv', 'mod']
            if not compat.PY3:
                aliases = {}
            else:
                aliases = {'div': 'truediv'}
            self.panel = self.panel.to_panel()

            for n in [np.random.randint(-50, -1), np.random.randint(1, 50), 0]:
                for op in ops:
                    alias = aliases.get(op, op)
                    f = getattr(operator, alias)
                    exp = f(self.panel, n)
                    result = getattr(self.panel, op)(n)
                    assert_panel_equal(result, exp, check_panel_type=True)

                    # rops
                    r_f = lambda x, y: f(y, x)
                    exp = r_f(self.panel, n)
                    result = getattr(self.panel, 'r' + op)(n)
                    assert_panel_equal(result, exp) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_arith_getitem_commute(self):
        df = DataFrame({'A': [1.1, 3.3], 'B': [2.5, -3.9]})

        self._test_op(df, operator.add)
        self._test_op(df, operator.sub)
        self._test_op(df, operator.mul)
        self._test_op(df, operator.truediv)
        self._test_op(df, operator.floordiv)
        self._test_op(df, operator.pow)

        self._test_op(df, lambda x, y: y + x)
        self._test_op(df, lambda x, y: y - x)
        self._test_op(df, lambda x, y: y * x)
        self._test_op(df, lambda x, y: y / x)
        self._test_op(df, lambda x, y: y ** x)

        self._test_op(df, lambda x, y: x + y)
        self._test_op(df, lambda x, y: x - y)
        self._test_op(df, lambda x, y: x * y)
        self._test_op(df, lambda x, y: x / y)
        self._test_op(df, lambda x, y: x ** y) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def _add_numeric_methods_binary(cls):
        """ add in numeric methods """
        cls.__add__ = _make_arithmetic_op(operator.add, cls)
        cls.__radd__ = _make_arithmetic_op(ops.radd, cls)
        cls.__sub__ = _make_arithmetic_op(operator.sub, cls)
        cls.__rsub__ = _make_arithmetic_op(ops.rsub, cls)
        cls.__mul__ = _make_arithmetic_op(operator.mul, cls)
        cls.__rmul__ = _make_arithmetic_op(ops.rmul, cls)
        cls.__rpow__ = _make_arithmetic_op(ops.rpow, cls)
        cls.__pow__ = _make_arithmetic_op(operator.pow, cls)
        cls.__mod__ = _make_arithmetic_op(operator.mod, cls)
        cls.__floordiv__ = _make_arithmetic_op(operator.floordiv, cls)
        cls.__rfloordiv__ = _make_arithmetic_op(ops.rfloordiv, cls)
        cls.__truediv__ = _make_arithmetic_op(operator.truediv, cls)
        cls.__rtruediv__ = _make_arithmetic_op(ops.rtruediv, cls)
        if not compat.PY3:
            cls.__div__ = _make_arithmetic_op(operator.div, cls)
            cls.__rdiv__ = _make_arithmetic_op(ops.rdiv, cls)

        cls.__divmod__ = _make_arithmetic_op(divmod, cls) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_binary_operators(self):

        # skipping for now #####
        raise nose.SkipTest("skipping sparse binary operators test")

        def _check_inplace_op(iop, op):
            tmp = self.bseries.copy()

            expected = op(tmp, self.bseries)
            iop(tmp, self.bseries)
            assert_sp_series_equal(tmp, expected)

        inplace_ops = ['add', 'sub', 'mul', 'truediv', 'floordiv', 'pow']
        for op in inplace_ops:
            _check_inplace_op(
                getattr(operator, "i%s" % op), getattr(operator, op)) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_integers_to_negative_integer_power(self):
        # Note that the combination of uint64 with a signed integer
        # has common type np.float64. The other combinations should all
        # raise a ValueError for integer ** negative integer.
        exp = [np.array(-1, dt)[()] for dt in 'bhilq']

        # 1 ** -1 possible special case
        base = [np.array(1, dt)[()] for dt in 'bhilqBHILQ']
        for i1, i2 in itertools.product(base, exp):
            if i1.dtype != np.uint64:
                assert_raises(ValueError, operator.pow, i1, i2)
            else:
                res = operator.pow(i1, i2)
                assert_(res.dtype.type is np.float64)
                assert_almost_equal(res, 1.)

        # -1 ** -1 possible special case
        base = [np.array(-1, dt)[()] for dt in 'bhilq']
        for i1, i2 in itertools.product(base, exp):
            if i1.dtype != np.uint64:
                assert_raises(ValueError, operator.pow, i1, i2)
            else:
                res = operator.pow(i1, i2)
                assert_(res.dtype.type is np.float64)
                assert_almost_equal(res, -1.)

        # 2 ** -1 perhaps generic
        base = [np.array(2, dt)[()] for dt in 'bhilqBHILQ']
        for i1, i2 in itertools.product(base, exp):
            if i1.dtype != np.uint64:
                assert_raises(ValueError, operator.pow, i1, i2)
            else:
                res = operator.pow(i1, i2)
                assert_(res.dtype.type is np.float64)
                assert_almost_equal(res, .5) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import pow [as 別名]
def test_modular_power(self):
        # modular power is not implemented, so ensure it errors
        a = 5
        b = 4
        c = 10
        expected = pow(a, b, c)  # noqa: F841
        for t in (np.int32, np.float32, np.complex64):
            # note that 3-operand power only dispatches on the first argument
            assert_raises(TypeError, operator.pow, t(a), b, c)
            assert_raises(TypeError, operator.pow, np.array(t(a)), b, c)