def blackman(M):
"""Returns the Blackman window.
The Blackman window is defined as
.. math::
w(n) = 0.42 - 0.5 \\cos\\left(\\frac{2\\pi{n}}{M-1}\\right)
+ 0.08 \\cos\\left(\\frac{4\\pi{n}}{M-1}\\right)
\\qquad 0 \\leq n \\leq M-1
Args:
M (:class:`~int`):
Number of points in the output window. If zero or less, an empty
array is returned.
Returns:
~cupy.ndarray: Output ndarray.
.. seealso:: :func:`numpy.blackman`
"""
if M < 1:
return from_data.array([])
if M == 1:
return basic.ones(1, float)
n = ranges.arange(0, M)
return 0.42 - 0.5 * trigonometric.cos(2.0 * numpy.pi * n / (M - 1))\
+ 0.08 * trigonometric.cos(4.0 * numpy.pi * n / (M - 1))
def test_del(self):
stream = cuda.Stream().use()
stream_ptr = stream.ptr
x = from_data.array([1, 2, 3])
del stream
# Want to test cudaStreamDestory is issued, but
# runtime.streamQuery(stream_ptr) causes SEGV. We cannot test...
del stream_ptr
del x
def __getitem__(self, key):
trans1d = self.trans1d
ndmin = self.ndmin
objs = []
scalars = []
arraytypes = []
scalartypes = []
if isinstance(key, str):
raise NotImplementedError
if not isinstance(key, tuple):
key = (key,)
for i, k in enumerate(key):
scalar = False
if isinstance(k, slice):
raise NotImplementedError
elif isinstance(k, str):
if i != 0:
raise ValueError(
'special directives must be the first entry.')
raise NotImplementedError
elif type(k) in numpy.ScalarType:
newobj = from_data.array(k, ndmin=ndmin)
scalars.append(i)
scalar = True
scalartypes.append(newobj.dtype)
else:
newobj = from_data.array(k, copy=False, ndmin=ndmin)
if ndmin > 1:
ndim = from_data.array(k, copy=False).ndim
if trans1d != -1 and ndim < ndmin:
newobj = self._output_obj(newobj, ndim, ndmin, trans1d)
objs.append(newobj)
if not scalar and isinstance(newobj, core.ndarray):
arraytypes.append(newobj.dtype)
final_dtype = numpy.find_common_type(arraytypes, scalartypes)
if final_dtype is not None:
for k in scalars:
objs[k] = objs[k].astype(final_dtype)
return join.concatenate(tuple(objs), axis=self.axis)
def check_del(self, null):
stream = cuda.Stream(null=null).use()
stream_ptr = stream.ptr
x = from_data.array([1, 2, 3])
del stream
self.assertEqual(cuda.Stream.null, cuda.get_current_stream())
# Want to test cudaStreamDestory is issued, but
# runtime.streamQuery(stream_ptr) causes SEGV. We cannot test...
del stream_ptr
del x
def __getitem__(self, key):
trans1d = self.trans1d
ndmin = self.ndmin
objs = []
scalars = []
arraytypes = []
scalartypes = []
if isinstance(key, six.string_types):
raise NotImplementedError
if not isinstance(key, tuple):
key = (key,)
for i, k in enumerate(key):
scalar = False
if isinstance(k, slice):
raise NotImplementedError
elif isinstance(k, six.string_types):
if i != 0:
raise ValueError(
'special directives must be the first entry.')
raise NotImplementedError
elif type(k) in numpy.ScalarType:
newobj = from_data.array(k, ndmin=ndmin)
scalars.append(i)
scalar = True
scalartypes.append(newobj.dtype)
else:
newobj = from_data.array(k, copy=False, ndmin=ndmin)
if ndmin > 1:
ndim = from_data.array(k, copy=False).ndim
if trans1d != -1 and ndim < ndmin:
newobj = self._output_obj(newobj, ndim, ndmin, trans1d)
objs.append(newobj)
if not scalar and isinstance(newobj, core.ndarray):
arraytypes.append(newobj.dtype)
final_dtype = numpy.find_common_type(arraytypes, scalartypes)
if final_dtype is not None:
for k in scalars:
objs[k] = objs[k].astype(final_dtype)
return join.concatenate(tuple(objs), axis=self.axis)
