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)