from cupy import _core
from cupy._math import ufunc
from cupy_backends.cuda.api import runtime


signbit = _core.create_ufunc(
    'cupy_signbit',
    ('e->?', 'f->?', 'd->?'),
    'out0 = signbit(in0)',
    doc='''Tests elementwise if the sign bit is set (i.e. less than zero).

    .. seealso:: :data:`numpy.signbit`

    ''')


copysign = ufunc.create_math_ufunc(
    'copysign', 2, 'cupy_copysign',
    '''Returns the first argument with the sign bit of the second elementwise.

    .. seealso:: :data:`numpy.copysign`

    ''')


ldexp = _core.create_ufunc(
    'cupy_ldexp',
    ('ei->e', 'fi->f', 'el->e', 'fl->f', 'di->d', 'dq->d'),
    'out0 = ldexp(in0, in1)',
    doc='''Computes ``x1 * 2 ** x2`` elementwise.

    .. seealso:: :data:`numpy.ldexp`

    ''')

# HIP supports frexpf but not frexp ...
frexp = _core.create_ufunc(
    'cupy_frexp',
    ('e->ei', 'f->fi', 'd->di'),
    'int nptr; out0 = {}(in0, &nptr); out1 = nptr'.format(
        'frexpf' if runtime.is_hip else 'frexp'),
    doc='''Decomposes each element to mantissa and two's exponent.

    This ufunc outputs two arrays of the input dtype and the ``int`` dtype.

    .. seealso:: :data:`numpy.frexp`

    ''')


nextafter = ufunc.create_math_ufunc(
    'nextafter', 2, 'cupy_nextafter',
    '''Computes the nearest neighbor float values towards the second argument.

    .. note::
        For values that are close to zero (or denormal numbers),
        results of :func:`cupy.nextafter` may be different from those of
        :func:`numpy.nextafter`, because CuPy sets ``-ftz=true``.

    .. seealso:: :data:`numpy.nextafter`

    ''')