# -*- coding: utf-8 -*-

from __future__ import division, unicode_literals, print_function, absolute_import

from pint.compat import np
from pint.testsuite import QuantityTestCase, helpers

# Following http://docs.scipy.org/doc/numpy/reference/ufuncs.html

if np:
    pi = np.pi


@helpers.requires_numpy()
class TestUFuncs(QuantityTestCase):

    FORCE_NDARRAY = True

    @property
    def qless(self):
        return np.asarray([1., 2., 3., 4.]) * self.ureg.dimensionless

    @property
    def qs(self):
        return 8 * self.ureg.J

    @property
    def q1(self):
        return np.asarray([1., 2., 3., 4.]) * self.ureg.J

    @property
    def q2(self):
        return 2 * self.q1

    @property
    def qm(self):
        return np.asarray([1., 2., 3., 4.]) * self.ureg.m

    @property
    def qi(self):
        return np.asarray([1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j]) * self.ureg.m

    def assertRaisesMsg(self, msg, ExcType, func, *args, **kwargs):
        try:
            func(*args, **kwargs)
            self.assertFalse(True, msg='Exception {} not raised {}'.format(ExcType, msg))
        except ExcType as e:
            pass
        except Exception as e:
            self.assertFalse(True, msg='{} not raised but {}\n{}'.format(ExcType, e, msg))

    def _test1(self, func,  ok_with, raise_with=(), output_units='same', results=None, rtol=1e-6):
        """Test function that takes a single argument and returns Quantity.

        :param func: function callable.
        :param ok_with: iterables of values that work fine.
        :param raise_with: iterables of values that raise exceptions.
        :param output_units: units to be used when building results.
                             'same': ok_with[n].units (default).
                             is float: ok_with[n].units ** output_units.
                             None: no output units, the result should be an ndarray.
                             Other value will be parsed as unit.
        :param results: iterable of results.
                        If None, the result will be obtained by applying
                        func to each ok_with value
        :param rtol: relative tolerance.
        """
        if results is None:
            results = [None, ] * len(ok_with)
        for x1, res in zip(ok_with, results):
            err_msg = 'At {} with {}'.format(func.__name__, x1)
            if output_units == 'same':
                ou = x1.units
            elif isinstance(output_units, (int, float)):
                ou = x1.units ** output_units
            else:
                ou = output_units

            qm = func(x1)
            if res is None:
                res = func(x1.magnitude)
                if ou is not None:
                    res = self.Q_(res, ou)

            self.assertQuantityAlmostEqual(qm, res, rtol=rtol, msg=err_msg)

        for x1 in raise_with:
            self.assertRaisesMsg('At {} with {}'.format(func.__name__, x1),
                                 ValueError, func, x1)

    def _testn(self, func,  ok_with, raise_with=(), results=None):
        """Test function that takes a single argument and returns and ndarray (not a Quantity)

        :param func: function callable.
        :param ok_with: iterables of values that work fine.
        :param raise_with: iterables of values that raise exceptions.
        :param results: iterable of results.
                        If None, the result will be obtained by applying
                        func to each ok_with value
        """
        self._test1(func, ok_with, raise_with, output_units=None, results=results)

    def _test1_2o(self, func, ok_with, raise_with=(), output_units=('same', 'same'),
                  results=None, rtol=1e-6):
        """Test functions that takes a single argument and return two Quantities.

        :param func: function callable.
        :param ok_with: iterables of values that work fine.
        :param raise_with: iterables of values that raise exceptions.
        :param output_units: tuple of units to be used when building the result tuple.
                             'same': ok_with[n].units (default).
                             is float: ok_with[n].units ** output_units.
                             None: no output units, the result should be an ndarray.
                             Other value will be parsed as unit.
        :param results: iterable of results.
                        If None, the result will be obtained by applying
                        func to each ok_with value
        :param rtol: relative tolerance.
        """

        if results is None:
            results = [None, ] * len(ok_with)
        for x1, res in zip(ok_with, results):
            err_msg = 'At {} with {}'.format(func.__name__, x1)
            qms = func(x1)
            if res is None:
                res = func(x1.magnitude)

            for ndx, (qm, re, ou) in enumerate(zip(qms, res, output_units)):
                if ou == 'same':
                    ou = x1.units
                elif isinstance(ou, (int, float)):
                    ou = x1.units ** ou

                if ou is not None:
                    re = self.Q_(re, ou)

                self.assertQuantityAlmostEqual(qm, re, rtol=rtol, msg=err_msg)

        for x1 in raise_with:
            self.assertRaisesMsg('At {} with {}'.format(func.__name__, x1),
                                 ValueError, func, x1)

    def _test2(self, func, x1, ok_with, raise_with=(), output_units='same', rtol=1e-6, convert2=True):
        """Test function that takes two arguments and return a Quantity.

        :param func: function callable.
        :param x1: first argument of func.
        :param ok_with: iterables of values that work fine.
        :param raise_with: iterables of values that raise exceptions.
        :param output_units: units to be used when building results.
                             'same': x1.units (default).
                             'prod': x1.units * ok_with[n].units
                             'div': x1.units / ok_with[n].units
                             'second': x1.units * ok_with[n]
                             None: no output units, the result should be an ndarray.
                             Other value will be parsed as unit.
        :param rtol: relative tolerance.
        :param convert2: if the ok_with[n] should be converted to x1.units.
        """
        for x2 in ok_with:
            err_msg = 'At {} with {} and {}'.format(func.__name__, x1, x2)
            if output_units == 'same':
                ou = x1.units
            elif output_units == 'prod':
                ou = x1.units * x2.units
            elif output_units == 'div':
                ou = x1.units / x2.units
            elif output_units == 'second':
                ou = x1.units ** x2
            else:
                ou = output_units

            qm = func(x1, x2)

            if convert2 and hasattr(x2, 'magnitude'):
                m2 = x2.to(getattr(x1, 'units', '')).magnitude
            else:
                m2 = getattr(x2, 'magnitude', x2)

            res = func(x1.magnitude, m2)
            if ou is not None:
                res = self.Q_(res, ou)

            self.assertQuantityAlmostEqual(qm, res, rtol=rtol, msg=err_msg)

        for x2 in raise_with:
            self.assertRaisesMsg('At {} with {} and {}'.format(func.__name__, x1, x2),
                                 ValueError, func, x1, x2)

    def _testn2(self, func, x1, ok_with, raise_with=()):
        """Test function that takes two arguments and return a ndarray.

        :param func: function callable.
        :param x1: first argument of func.
        :param ok_with: iterables of values that work fine.
        :param raise_with: iterables of values that raise exceptions.
        """
        self._test2(func, x1, ok_with, raise_with, output_units=None)


@helpers.requires_numpy()
class TestMathUfuncs(TestUFuncs):
    """Universal functions (ufunc) > Math operations

    http://docs.scipy.org/doc/numpy/reference/ufuncs.html#math-operations

    add(x1, x2[, out]) 	Add arguments element-wise.
    subtract(x1, x2[, out]) 	Subtract arguments, element-wise.
    multiply(x1, x2[, out]) 	Multiply arguments element-wise.
    divide(x1, x2[, out]) 	Divide arguments element-wise.
    logaddexp(x1, x2[, out]) 	Logarithm of the sum of exponentiations of the inputs.
    logaddexp2(x1, x2[, out]) 	Logarithm of the sum of exponentiations of the inputs in base-2.
    true_divide(x1, x2[, out]) 	Returns a true division of the inputs, element-wise.
    floor_divide(x1, x2[, out]) 	Return the largest integer smaller or equal to the division of the inputs.
    negative(x[, out]) 	Returns an array with the negative of each element of the original array.
    power(x1, x2[, out]) 	First array elements raised to powers from second array, element-wise. NOT IMPLEMENTED
    remainder(x1, x2[, out]) 	Return element-wise remainder of division.
    mod(x1, x2[, out]) 	Return element-wise remainder of division.
    fmod(x1, x2[, out]) 	Return the element-wise remainder of division.
    absolute(x[, out]) 	Calculate the absolute value element-wise.
    rint(x[, out]) 	Round elements of the array to the nearest integer.
    sign(x[, out]) 	Returns an element-wise indication of the sign of a number.
    conj(x[, out]) 	Return the complex conjugate, element-wise.
    exp(x[, out]) 	Calculate the exponential of all elements in the input array.
    exp2(x[, out]) 	Calculate 2**p for all p in the input array.
    log(x[, out]) 	Natural logarithm, element-wise.
    log2(x[, out]) 	Base-2 logarithm of x.
    log10(x[, out]) 	Return the base 10 logarithm of the input array, element-wise.
    expm1(x[, out]) 	Calculate exp(x) - 1 for all elements in the array.
    log1p(x[, out]) 	Return the natural logarithm of one plus the input array, element-wise.
    sqrt(x[, out]) 	Return the positive square-root of an array, element-wise.
    square(x[, out]) 	Return the element-wise square of the input.
    reciprocal(x[, out]) 	Return the reciprocal of the argument, element-wise.
    ones_like(x[, out]) 	Returns an array of ones with the same shape and type as a given array.
    """
    def test_add(self):
        self._test2(np.add,
                    self.q1,
                    (self.q2, self.qs),
                    (self.qm, ))

    def test_subtract(self):
        self._test2(np.subtract,
                    self.q1,
                    (self.q2, self.qs),
                    (self.qm, ))

    def test_multiply(self):
        self._test2(np.multiply,
                    self.q1,
                    (self.q2, self.qs), (),
                    'prod')

    def test_divide(self):
        self._test2(np.divide,
                    self.q1,
                    (self.q2, self.qs, self.qless),
                    (),
                    'div', convert2=False)

    def test_logaddexp(self):
        self._test2(np.logaddexp,
                    self.qless,
                    (self.qless, ),
                    (self.q1, ),
                    '')

    def test_logaddexp2(self):
        self._test2(np.logaddexp2,
                    self.qless,
                    (self.qless, ),
                    (self.q1, ),
                    'div')

    def test_true_divide(self):
        self._test2(np.true_divide,
                    self.q1,
                    (self.q2, self.qs, self.qless),
                    (),
                    'div', convert2=False)

    def test_floor_divide(self):
        self._test2(np.floor_divide,
                    self.q1,
                    (self.q2, self.qs, self.qless),
                    (),
                    'div', convert2=False)


    def test_negative(self):
        self._test1(np.negative,
                    (self.qless, self.q1),
                    ())

    def test_remainder(self):
        self._test2(np.remainder,
                    self.q1,
                    (self.q2, self.qs, self.qless),
                    (),
                    'same', convert2=False)

    def test_mod(self):
        self._test2(np.mod,
                    self.q1,
                    (self.q2, self.qs, self.qless),
                    (),
                    'same', convert2=False)

    def test_fmod(self):
        self._test2(np.fmod,
                    self.q1,
                    (self.q2, self.qs, self.qless),
                    (),
                    'same', convert2=False)

    def test_absolute(self):
        self._test1(np.absolute,
                    (self.q2, self.qs, self.qless, self.qi),
                    (),
                    'same')

    def test_rint(self):
        self._test1(np.rint,
                    (self.q2, self.qs, self.qless, self.qi),
                    (),
                    'same')

    def test_conj(self):
        self._test1(np.conj,
                    (self.q2, self.qs, self.qless, self.qi),
                    (),
                    'same')

    def test_exp(self):
        self._test1(np.exp,
                    (self.qless, ),
                    (self.q1, ),
                    '')

    def test_exp2(self):
        self._test1(np.exp2,
                    (self.qless,),
                    (self.q1, ),
                    '')

    def test_log(self):
        self._test1(np.log,
                    (self.qless,),
                    (self.q1, ),
                    '')

    def test_log2(self):
        self._test1(np.log2,
                    (self.qless,),
                    (self.q1, ),
                    '')

    def test_log10(self):
        self._test1(np.log10,
                    (self.qless,),
                    (self.q1, ),
                    '')

    def test_expm1(self):
        self._test1(np.expm1,
                    (self.qless,),
                    (self.q1, ),
                    '')

    def test_sqrt(self):
        self._test1(np.sqrt,
                    (self.q2, self.qs, self.qless, self.qi),
                    (),
                    0.5)

    def test_square(self):
        self._test1(np.square,
                    (self.q2, self.qs, self.qless, self.qi),
                    (),
                    2)

    def test_reciprocal(self):
        self._test1(np.reciprocal,
                    (self.q2, self.qs, self.qless, self.qi),
                    (),
                    -1)


@helpers.requires_numpy()
class TestTrigUfuncs(TestUFuncs):
    """Universal functions (ufunc) > Trigonometric functions

    http://docs.scipy.org/doc/numpy/reference/ufuncs.html#trigonometric-functions

    sin(x[, out]) 	Trigonometric sine, element-wise.
    cos(x[, out]) 	Cosine elementwise.
    tan(x[, out]) 	Compute tangent element-wise.
    arcsin(x[, out]) 	Inverse sine, element-wise.
    arccos(x[, out]) 	Trigonometric inverse cosine, element-wise.
    arctan(x[, out]) 	Trigonometric inverse tangent, element-wise.
    arctan2(x1, x2[, out]) 	Element-wise arc tangent of x1/x2 choosing the quadrant correctly.
    hypot(x1, x2[, out]) 	Given the “legs” of a right triangle, return its hypotenuse.
    sinh(x[, out]) 	Hyperbolic sine, element-wise.
    cosh(x[, out]) 	Hyperbolic cosine, element-wise.
    tanh(x[, out]) 	Compute hyperbolic tangent element-wise.
    arcsinh(x[, out]) 	Inverse hyperbolic sine elementwise.
    arccosh(x[, out]) 	Inverse hyperbolic cosine, elementwise.
    arctanh(x[, out]) 	Inverse hyperbolic tangent elementwise.
    deg2rad(x[, out]) 	Convert angles from degrees to radians.
    rad2deg(x[, out]) 	Convert angles from radians to degrees.
    """

    def test_sin(self):
        self._test1(np.sin, (np.arange(0, pi/2, pi/4) * self.ureg.dimensionless,
                             np.arange(0, pi/2, pi/4) * self.ureg.radian,
                             np.arange(0, pi/2, pi/4) * self.ureg.mm / self.ureg.m
                            ), (1*self.ureg.m, ), '', results=(None, None, np.sin(np.arange(0, pi/2, pi/4)*0.001)))
        self._test1(np.sin, (np.rad2deg(np.arange(0, pi/2, pi/4)) * self.ureg.degrees,
                            ), results=(np.sin(np.arange(0, pi/2, pi/4)), ))

    def test_cos(self):
        self._test1(np.cos, (np.arange(0, pi/2, pi/4) * self.ureg.dimensionless,
                             np.arange(0, pi/2, pi/4) * self.ureg.radian,
                             np.arange(0, pi/2, pi/4) * self.ureg.mm / self.ureg.m,
                            ), (1*self.ureg.m, ), '',
                    results=(None,
                             None,
                             np.cos(np.arange(0, pi/2, pi/4)*0.001),
                    )
        )
        self._test1(np.cos,
                    (np.rad2deg(np.arange(0, pi/2, pi/4)) * self.ureg.degrees,
                     ),
                    results=(np.cos(np.arange(0, pi/2, pi/4)), )
        )

    def test_tan(self):
        self._test1(np.tan, (np.arange(0, pi/2, pi/4) * self.ureg.dimensionless,
                             np.arange(0, pi/2, pi/4) * self.ureg.radian,
                             np.arange(0, pi/2, pi/4) * self.ureg.mm / self.ureg.m
                            ), (1*self.ureg.m, ), '', results=(None, None, np.tan(np.arange(0, pi/2, pi/4)*0.001)))
        self._test1(np.tan, (np.rad2deg(np.arange(0, pi/2, pi/4)) * self.ureg.degrees,
                            ), results=(np.tan(np.arange(0, pi/2, pi/4)), ))

    def test_arcsin(self):
        self._test1(np.arcsin, (np.arange(0, .9, .1) * self.ureg.dimensionless,
                                np.arange(0, .9, .1) * self.ureg.m / self.ureg.m
                               ), (1*self.ureg.m, ), 'radian')

    def test_arccos(self):
        x = np.arange(0, .9, .1) * self.ureg.m
        self._test1(np.arccos, (np.arange(0, .9, .1) * self.ureg.dimensionless,
                                np.arange(0, .9, .1) * self.ureg.m / self.ureg.m
                               ), (1*self.ureg.m, ), 'radian')

    def test_arctan(self):
        self._test1(np.arctan, (np.arange(0, .9, .1) * self.ureg.dimensionless,
                                np.arange(0, .9, .1) * self.ureg.m / self.ureg.m
                                ), (1*self.ureg.m, ), 'radian')

    def test_arctan2(self):
        m = self.ureg.m
        j = self.ureg.J
        km = self.ureg.km
        self._test2(np.arctan2, np.arange(0, .9, .1) * m,
                    (np.arange(0, .9, .1) * m, np.arange(.9, 0., -.1) * m,
                     np.arange(0, .9, .1) * km, np.arange(.9, 0., -.1) * km,
                    ),
                    raise_with=np.arange(0, .9, .1) * j,
                    output_units='radian')

    def test_hypot(self):
        self.assertTrue(np.hypot(3. * self.ureg.m, 4. * self.ureg.m) ==  5. * self.ureg.m)
        self.assertTrue(np.hypot(3. * self.ureg.m, 400. * self.ureg.cm) ==  5. * self.ureg.m)
        self.assertRaises(ValueError, np.hypot, 1. * self.ureg.m, 2. * self.ureg.J)

    def test_sinh(self):
        self._test1(np.sinh, (np.arange(0, pi/2, pi/4) * self.ureg.dimensionless,
                              np.arange(0, pi/2, pi/4) * self.ureg.radian,
                              np.arange(0, pi/2, pi/4) * self.ureg.mm / self.ureg.m
                              ), (1*self.ureg.m, ), '', results=(None, None, np.sinh(np.arange(0, pi/2, pi/4)*0.001)))
        self._test1(np.sinh, (np.rad2deg(np.arange(0, pi/2, pi/4)) * self.ureg.degrees,
                              ), results=(np.sinh(np.arange(0, pi/2, pi/4)), ))

    def test_cosh(self):
        self._test1(np.cosh, (np.arange(0, pi/2, pi/4) * self.ureg.dimensionless,
                              np.arange(0, pi/2, pi/4) * self.ureg.radian,
                              np.arange(0, pi/2, pi/4) * self.ureg.mm / self.ureg.m
                             ), (1*self.ureg.m, ), '', results=(None, None, np.cosh(np.arange(0, pi/2, pi/4)*0.001)))
        self._test1(np.cosh, (np.rad2deg(np.arange(0, pi/2, pi/4)) * self.ureg.degrees,
                             ), results=(np.cosh(np.arange(0, pi/2, pi/4)), ))

    def test_tanh(self):
        self._test1(np.tanh, (np.arange(0, pi/2, pi/4) * self.ureg.dimensionless,
                              np.arange(0, pi/2, pi/4) * self.ureg.radian,
                              np.arange(0, pi/2, pi/4) * self.ureg.mm / self.ureg.m
                             ), (1*self.ureg.m, ), '', results=(None, None, np.tanh(np.arange(0, pi/2, pi/4)*0.001)))
        self._test1(np.tanh, (np.rad2deg(np.arange(0, pi/2, pi/4)) * self.ureg.degrees,
                             ), results=(np.tanh(np.arange(0, pi/2, pi/4)), ))

    def test_arcsinh(self):
        self._test1(np.arcsinh, (np.arange(0, .9, .1) * self.ureg.dimensionless,
                                 np.arange(0, .9, .1) * self.ureg.m / self.ureg.m
                                ), (1*self.ureg.m, ), 'radian')

    def test_arccosh(self):
        self._test1(np.arccosh, (np.arange(1., 1.9, .1) * self.ureg.dimensionless,
                                 np.arange(1., 1.9, .1) * self.ureg.m / self.ureg.m
                                ), (1*self.ureg.m, ), 'radian')

    def test_arctanh(self):
        self._test1(np.arctanh, (np.arange(0, .9, .1) * self.ureg.dimensionless,
                                 np.arange(0, .9, .1) * self.ureg.m / self.ureg.m
                                ), (.1 * self.ureg.m, ), 'radian')

    def test_deg2rad(self):
        self._test1(np.deg2rad, (np.arange(0, pi/2, pi/4) * self.ureg.degrees,
                                 ), (1*self.ureg.m, ), 'radians')

    def test_rad2deg(self):
        self._test1(np.rad2deg,
                    (np.arange(0, pi/2, pi/4) * self.ureg.dimensionless,
                     np.arange(0, pi/2, pi/4) * self.ureg.radian,
                     np.arange(0, pi/2, pi/4) * self.ureg.mm / self.ureg.m,
                     ),
                    (1*self.ureg.m, ), 'degree',
                    results=(None,
                             None,
                             np.rad2deg(np.arange(0, pi/2, pi/4)*0.001) * self.ureg.degree,
                    ))



class TestComparisonUfuncs(TestUFuncs):
    """Universal functions (ufunc) > Comparison functions

    http://docs.scipy.org/doc/numpy/reference/ufuncs.html#comparison-functions

    greater(x1, x2[, out]) 	Return the truth value of (x1 > x2) element-wise.
    greater_equal(x1, x2[, out]) 	Return the truth value of (x1 >= x2) element-wise.
    less(x1, x2[, out]) 	Return the truth value of (x1 < x2) element-wise.
    less_equal(x1, x2[, out]) 	Return the truth value of (x1 =< x2) element-wise.
    not_equal(x1, x2[, out]) 	Return (x1 != x2) element-wise.
    equal(x1, x2[, out]) 	Return (x1 == x2) element-wise.
    """

    def test_greater(self):
        self._testn2(np.greater,
                    self.q1,
                    (self.q2, ),
                    (self.qm, ))

    def test_greater_equal(self):
        self._testn2(np.greater_equal,
                     self.q1,
                     (self.q2, ),
                     (self.qm, ))

    def test_less(self):
        self._testn2(np.less,
                     self.q1,
                     (self.q2, ),
                     (self.qm, ))

    def test_less_equal(self):
        self._testn2(np.less_equal,
                     self.q1,
                     (self.q2, ),
                     (self.qm, ))

    def test_not_equal(self):
        self._testn2(np.not_equal,
                     self.q1,
                     (self.q2, ),
                     (self.qm, ))

    def test_equal(self):
        self._testn2(np.equal,
                     self.q1,
                     (self.q2, ),
                     (self.qm, ))


class TestFloatingUfuncs(TestUFuncs):
    """Universal functions (ufunc) > Floating functions

    http://docs.scipy.org/doc/numpy/reference/ufuncs.html#floating-functions

    isreal(x) 	Returns a bool array, where True if input element is real.
    iscomplex(x) 	Returns a bool array, where True if input element is complex.
    isfinite(x[, out]) 	Test element-wise for finite-ness (not infinity or not Not a Number).
    isinf(x[, out]) 	Test element-wise for positive or negative infinity.
    isnan(x[, out]) 	Test element-wise for Not a Number (NaN), return result as a bool array.
    signbit(x[, out]) 	Returns element-wise True where signbit is set (less than zero).
    copysign(x1, x2[, out]) 	Change the sign of x1 to that of x2, element-wise.
    nextafter(x1, x2[, out]) 	Return the next representable floating-point value after x1 in the direction of x2 element-wise.
    modf(x[, out1, out2]) 	Return the fractional and integral parts of an array, element-wise.
    ldexp(x1, x2[, out]) 	Compute y = x1 * 2**x2.
    frexp(x[, out1, out2]) 	Split the number, x, into a normalized fraction (y1) and exponent (y2)
    fmod(x1, x2[, out]) 	Return the element-wise remainder of division.
    floor(x[, out]) 	Return the floor of the input, element-wise.
    ceil(x[, out]) 	Return the ceiling of the input, element-wise.
    trunc(x[, out]) 	Return the truncated value of the input, element-wise.
    """

    def test_isreal(self):
        self._testn(np.isreal,
                    (self.q1, self.qm, self.qless))

    def test_iscomplex(self):
        self._testn(np.iscomplex,
                    (self.q1, self.qm, self.qless))

    def test_isfinite(self):
        self._testn(np.isfinite,
                    (self.q1, self.qm, self.qless))

    def test_isinf(self):
        self._testn(np.isinf,
                    (self.q1, self.qm, self.qless))

    def test_isnan(self):
        self._testn(np.isnan,
                    (self.q1, self.qm, self.qless))

    def test_signbit(self):
        self._testn(np.signbit,
                    (self.q1, self.qm, self.qless))

    def test_copysign(self):
        self._test2(np.copysign,
                    self.q1,
                    (self.q2, self.qs),
                    (self.qm, ))

    def test_nextafter(self):
        self._test2(np.nextafter,
                    self.q1,
                    (self.q2, self.qs),
                    (self.qm, ))

    def test_modf(self):
        self._test1_2o(np.modf,
                       (self.q2, self.qs),
                       )

    def test_ldexp(self):
        x1, x2 = np.frexp(self.q2)
        self._test2(np.ldexp,
                    x1,
                    (x2, ))

    def test_frexp(self):
        self._test1_2o(np.frexp,
                       (self.q2, self.qs),
                       output_units=('same', None))

    def test_fmod(self):
        # See TestMathUfuncs.test_fmod
        pass

    def test_floor(self):
        self._test1(np.floor,
                    (self.q1, self.qm, self.qless))

    def test_ceil(self):
        self._test1(np.ceil,
                    (self.q1, self.qm, self.qless))

    def test_trunc(self):
        self._test1(np.trunc,
                    (self.q1, self.qm, self.qless))
