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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`
''')
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