def __getitem__(self, slices):
# It supports the basic indexing (by slices, ints or Ellipsis) only.
# TODO(beam2d): Support the advanced indexing of NumPy.
if not isinstance(slices, tuple):
slices = [slices]
else:
slices = list(slices)
if any(isinstance(s, ndarray) for s in slices):
raise ValueError('Advanced indexing is not supported')
# Expand ellipsis into empty slices
n_newaxes = slices.count(newaxis)
n_ellipses = slices.count(Ellipsis)
if n_ellipses > 0:
if n_ellipses > 1:
raise ValueError('Only one Ellipsis is allowed in index')
ellipsis = slices.index(Ellipsis)
ellipsis_size = self.ndim - (len(slices) - n_newaxes - 1)
slices[ellipsis:ellipsis + 1] = [slice(None)] * ellipsis_size
slices += [slice(None)] * (self.ndim - len(slices) + n_newaxes)
# Create new shape and stride
shape = []
strides = []
j = 0
offset = 0
for i, s in enumerate(slices):
if s is newaxis:
shape.append(1)
if j < self.ndim:
strides.append(self._strides[j])
elif self.ndim > 0:
strides.append(self._strides[-1])
else:
strides.append(self.itemsize)
elif isinstance(s, slice):
s = internal.complete_slice(s, self._shape[j])
if s.step > 0:
dim = (s.stop - s.start - 1) // s.step + 1
else:
dim = (s.stop - s.start + 1) // s.step + 1
shape.append(dim)
strides.append(self._strides[j] * s.step)
offset += s.start * self._strides[j]
j += 1
elif numpy.isscalar(s):
s = int(s)
if s >= self._shape[j]:
raise IndexError(
'Index %s exceeds the size %s at axis %s' %
(s, self._shape[j], j))
offset += s * self._strides[j]
j += 1
else:
raise TypeError('Invalid index type: %s' % type(slices[i]))
v = self.view()
v._shape = tuple(shape)
v._strides = tuple(strides)
v._size = internal.prod(shape)
v.data = self.data + offset
v._c_contiguous = -1
v._f_contiguous = -1
return v
def __getitem__(self, slices):
# It supports the basic indexing (by slices, ints or Ellipsis) only.
# TODO(beam2d): Support the advanced indexing of NumPy.
if not isinstance(slices, tuple):
slices = [slices]
else:
slices = list(slices)
if six.moves.builtins.any(isinstance(s, ndarray) for s in slices):
raise ValueError('Advanced indexing is not supported')
# Expand ellipsis into empty slices
n_newaxes = slices.count(newaxis)
n_ellipses = slices.count(Ellipsis)
if n_ellipses > 0:
if n_ellipses > 1:
raise ValueError('Only one Ellipsis is allowed in index')
ellipsis = slices.index(Ellipsis)
ellipsis_size = self.ndim - (len(slices) - n_newaxes - 1)
slices[ellipsis:ellipsis + 1] = [slice(None)] * ellipsis_size
slices += [slice(None)] * (self.ndim - len(slices) + n_newaxes)
# Create new shape and stride
shape = []
strides = []
j = 0
offset = 0
for i, s in enumerate(slices):
if s is newaxis:
shape.append(1)
if j < self.ndim:
strides.append(self._strides[j])
elif self.ndim > 0:
strides.append(self._strides[-1])
else:
strides.append(self.itemsize)
elif isinstance(s, slice):
s = internal.complete_slice(s, self._shape[j])
if s.step > 0:
dim = (s.stop - s.start - 1) // s.step + 1
else:
dim = (s.stop - s.start + 1) // s.step + 1
shape.append(dim)
strides.append(self._strides[j] * s.step)
offset += s.start * self._strides[j]
j += 1
elif numpy.isscalar(s):
s = int(s)
if s >= self._shape[j]:
raise IndexError('Index %s exceeds the size %s at axis %s'
% (s, self._shape[j], j))
offset += s * self._strides[j]
j += 1
else:
raise TypeError('Invalid index type: %s' % type(slices[i]))
v = self.view()
v._shape = tuple(shape)
v._strides = tuple(strides)
v._size = internal.prod(shape)
v.data = self.data + offset
v._c_contiguous = -1
v._f_contiguous = -1
return v
def test_invalid_step_value(self):
with self.assertRaises(ValueError):
internal.complete_slice(slice(1, 1, 0), 1)
def test_invalid_stop_type(self):
with self.assertRaises(IndexError):
internal.complete_slice(slice((1, 2), 1, 1), 1)
with self.assertRaises(IndexError):
internal.complete_slice(slice((1, 2), 1, -1), 1)
def test_complete_slice(self):
self.assertEqual(
internal.complete_slice(slice(*self.slice), 10),
slice(*self.expect))
