Python operator.itruediv方法代碼示例

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def add_globals(self):
    "Add some Scheme standard procedures."
    import math, cmath, operator as op
    from functools import reduce
    self.update(vars(math))
    self.update(vars(cmath))
    self.update({
     '+':op.add, '-':op.sub, '*':op.mul, '/':op.itruediv, 'níl':op.not_, 'agus':op.and_,
     '>':op.gt, '<':op.lt, '>=':op.ge, '<=':op.le, '=':op.eq, 'mod':op.mod, 
     'frmh':cmath.sqrt, 'dearbhluach':abs, 'uas':max, 'íos':min,
     'cothrom_le?':op.eq, 'ionann?':op.is_, 'fad':len, 'cons':cons,
     'ceann':lambda x:x[0], 'tóin':lambda x:x[1:], 'iarcheangail':op.add,  
     'liosta':lambda *x:list(x), 'liosta?': lambda x:isa(x,list),
     'folamh?':lambda x: x == [], 'adamh?':lambda x: not((isa(x, list)) or (x == None)),
     'boole?':lambda x: isa(x, bool), 'scag':lambda f, x: list(filter(f, x)),
     'cuir_le':lambda proc,l: proc(*l), 'mapáil':lambda p, x: list(map(p, x)), 
     'lódáil':lambda fn: load(fn), 'léigh':lambda f: f.read(),
     'oscail_comhad_ionchuir':open,'dún_comhad_ionchuir':lambda p: p.file.close(), 
     'oscail_comhad_aschur':lambda f:open(f,'w'), 'dún_comhad_aschur':lambda p: p.close(),
     'dac?':lambda x:x is eof_object, 'luacháil':lambda x: evaluate(x),
     'scríobh':lambda x,port=sys.stdout:port.write(to_string(x) + '\n')})
    return self 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def test_inplace_truedivision(self, input_tuple, expected):
        self.ureg.autoconvert_offset_to_baseunit = False
        (q1v, q1u), (q2v, q2u) = input_tuple
        # update input tuple with new values to have correct values on failure
        input_tuple = ((np.array([q1v]*2, dtype=np.float), q1u),
                       (np.array([q2v]*2, dtype=np.float), q2u))
        Q_ = self.Q_
        qin1, qin2 = input_tuple
        q1, q2 = Q_(*qin1), Q_(*qin2)
        q1_cp = copy.copy(q1)
        if expected == 'error':
            self.assertRaises(OffsetUnitCalculusError, op.itruediv, q1_cp, q2)
        else:
            expected = np.array([expected[0]]*2, dtype=np.float), expected[1]
            self.assertEqual(op.itruediv(q1_cp, q2).units, Q_(*expected).units)
            q1_cp = copy.copy(q1)
            self.assertQuantityAlmostEqual(op.itruediv(q1_cp, q2),
                                           Q_(*expected), atol=0.01) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def test_operatorerrors(self):
        f2 = self.f2
        f2p = self.f2p
        f256 = self.f256
        f19 = self.f19
        self.assertRaises(TypeError, operator.add, f2(1), f2p(2))
        self.assertRaises(TypeError, operator.iadd, f2(1), f2p(2))
        self.assertRaises(TypeError, operator.sub, f2(1), f256(2))
        self.assertRaises(TypeError, operator.isub, f2(1), f256(2))
        self.assertRaises(TypeError, operator.mul, f2(1), f19(2))
        self.assertRaises(TypeError, operator.imul, f2(1), f19(2))
        self.assertRaises(TypeError, operator.truediv, f256(1), f19(2))
        self.assertRaises(TypeError, operator.itruediv, f256(1), f19(2))
        self.assertRaises(TypeError, operator.truediv, 3.14, f19(2))
        self.assertRaises(TypeError, operator.lshift, f2(1), f2(1))
        self.assertRaises(TypeError, operator.ilshift, f2(1), f2(1))
        self.assertRaises(TypeError, operator.lshift, 1, f2(1))
        self.assertRaises(TypeError, operator.rshift, f19(1), f19(1))
        self.assertRaises(TypeError, operator.irshift, f19(1), f19(1))
        self.assertRaises(TypeError, operator.irshift, f256(1), f256(1))
        self.assertRaises(TypeError, operator.pow, f2(1), f19(2))
        self.assertRaises(TypeError, operator.pow, f19(1), 3.14) 

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

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def test_itruediv_scalar(self):
        with testing.NumpyError(divide='ignore'):
            self.check_array_scalar_op(operator.itruediv) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def test_itruediv_array(self):
        with testing.NumpyError(divide='ignore'):
            self.check_array_array_op(operator.itruediv) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def test_broadcasted_itruediv(self):
        with testing.NumpyError(divide='ignore'):
            self.check_array_broadcasted_op(operator.itruediv) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def _test_quantity_imul_idiv(self, unit, func):
        #func(op.imul, 10.0, '4.2*meter', '42*meter')
        func(op.imul, '4.2*meter', 10.0, '42*meter', unit)
        func(op.imul, '4.2*meter', '10*inch', '42*meter*inch', unit)
        #func(op.truediv, 42, '4.2*meter', '10/meter')
        func(op.itruediv, '4.2*meter', unit * 10.0, '0.42*meter', unit)
        func(op.itruediv, '4.2*meter', '10*inch', '0.42*meter/inch', unit) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def test_issue52(self):
        u1 = UnitRegistry()
        u2 = UnitRegistry()
        q1 = u1.meter
        q2 = u2.meter
        import operator as op
        for fun in (op.add, op.iadd,
                    op.sub, op.isub,
                    op.mul, op.imul,
                    op.floordiv, op.ifloordiv,
                    op.truediv, op.itruediv):
            self.assertRaises(ValueError, fun, q1, q2) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def test_unitcontainer_arithmetic(self):
        x = UnitsContainer(meter=1)
        y = UnitsContainer(second=1)
        z = UnitsContainer(meter=1, second=-2)

        self._test_not_inplace(op.mul, x, y, UnitsContainer(meter=1, second=1))
        self._test_not_inplace(op.truediv, x, y, UnitsContainer(meter=1, second=-1))
        self._test_not_inplace(op.pow, z, 2, UnitsContainer(meter=2, second=-4))
        self._test_not_inplace(op.pow, z, -2, UnitsContainer(meter=-2, second=4))

        self._test_inplace(op.imul, x, y, UnitsContainer(meter=1, second=1))
        self._test_inplace(op.itruediv, x, y, UnitsContainer(meter=1, second=-1))
        self._test_inplace(op.ipow, z, 2, UnitsContainer(meter=2, second=-4))
        self._test_inplace(op.ipow, z, -2, UnitsContainer(meter=-2, second=4)) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def __itruediv__(self, other):
        if not isinstance(self._magnitude, ndarray):
            return self._mul_div(other, operator.truediv)
        else:
            return self._imul_div(other, operator.itruediv) 

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

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

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def test_scalar_operator(tspace, odl_arithmetic_op):
    """Verify binary operations with scalars.

    Verifies that the statement y = op(x, scalar) gives equivalent results
    to NumPy.
    """
    op = odl_arithmetic_op
    if op in (operator.truediv, operator.itruediv):
        ndigits = int(-np.log10(np.finfo(tspace.dtype).resolution) // 2)
    else:
        ndigits = int(-np.log10(np.finfo(tspace.dtype).resolution))

    for scalar in [-31.2, -1, 0, 1, 2.13]:
        x_arr, x = noise_elements(tspace)

        # Left op
        if scalar == 0 and op in [operator.truediv, operator.itruediv]:
            # Check for correct zero division behaviour
            with pytest.raises(ZeroDivisionError):
                y = op(x, scalar)
        else:
            y_arr = op(x_arr, scalar)
            y = op(x, scalar)

            assert all_almost_equal([x, y], [x_arr, y_arr], ndigits)

        # right op
        x_arr, x = noise_elements(tspace)

        y_arr = op(scalar, x_arr)
        y = op(scalar, x)

        assert all_almost_equal([x, y], [x_arr, y_arr], ndigits) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import itruediv [as 別名]
def test_binary_operator(tspace, odl_arithmetic_op):
    """Verify binary operations with tensors.

    Verifies that the statement z = op(x, y) gives equivalent results
    to NumPy.
    """
    op = odl_arithmetic_op
    if op in (operator.truediv, operator.itruediv):
        ndigits = int(-np.log10(np.finfo(tspace.dtype).resolution) // 2)
    else:
        ndigits = int(-np.log10(np.finfo(tspace.dtype).resolution))

    [x_arr, y_arr], [x, y] = noise_elements(tspace, 2)

    # non-aliased left
    z_arr = op(x_arr, y_arr)
    z = op(x, y)

    assert all_almost_equal([x, y, z], [x_arr, y_arr, z_arr], ndigits)

    # non-aliased right
    z_arr = op(y_arr, x_arr)
    z = op(y, x)

    assert all_almost_equal([x, y, z], [x_arr, y_arr, z_arr], ndigits)

    # aliased operation
    z_arr = op(x_arr, x_arr)
    z = op(x, x)

    assert all_almost_equal([x, y, z], [x_arr, y_arr, z_arr], ndigits)