def logseries(self, p, size=None, dtype=int):
"""Returns an array of samples drawn from a log series distribution.
.. seealso::
:func:`cupy.random.logseries` for full documentation,
:meth:`numpy.random.RandomState.logseries`
"""
p = cupy.asarray(p)
if cupy.any(p <= 0):
raise ValueError('p <= 0.0')
if cupy.any(p >= 1):
raise ValueError('p >= 1.0')
if size is None:
size = p.shape
y = cupy.empty(shape=size, dtype=dtype)
_kernels.logseries_kernel(p, self.rk_seed, y)
self.rk_seed += numpy.prod(size)
return y
def logseries(self, p, size=None, dtype=int):
"""Returns an array of samples drawn from a log series distribution.
.. warning::
This function may synchronize the device.
.. seealso::
- :func:`cupy.random.logseries` for full documentation
- :meth:`numpy.random.RandomState.logseries`
"""
p = cupy.asarray(p)
if cupy.any(p <= 0): # synchronize!
raise ValueError('p <= 0.0')
if cupy.any(p >= 1): # synchronize!
raise ValueError('p >= 1.0')
if size is None:
size = p.shape
y = cupy.empty(shape=size, dtype=dtype)
_kernels.logseries_kernel(p, self._rk_seed, y)
self._update_seed(y.size)
return y
