def _get_slices(self):
if self._tensor.indices is None:
# Not using index ranges
return tuple([slice(None)] * len(self._tensor.shape))
else:
# make sure all of the indices are well-known...
if len(self.indices) != len(self._tensor.indices):
raise IndexError('dimension mismatch ({} != {})'.format(self.indices, self._tensor.indices))
if self._has_only_known_indices():
slices = []
for aidx, myidx in zip(self.indices, self._tensor.indices):
arange = self._tensor.index_range_set.known_ranges[aidx]
myrange = self._tensor.index_range_set.known_ranges[myidx]
if arange is myrange:
slices.append(slice(None))
elif is_subrange(arange, myrange):
slices.append(arange.slice_in(myrange))
return tuple(slices)
else:
badidx = [self.indices[i] for i in xrange(len(self.indices))
if not is_subrange(
self._tensor.index_range_set.known_ranges[self.indices[i]],
self._tensor.index_range_set.known_ranges[self._tensor.indices[i]]
)
]
raise IndexError("Index '{0[0]}' unknown index range used on a tensor '{1}' with indices from"
" well-defined ranges. Probably a typo? If not, check your Tensor and"
" IndexRange constructors.".format(
badidx,
self._tensor.name if self._tensor.name is not None else "(unnamed tensor)"
))
def _has_only_known_indices(self):
if self._tensor.index_range_set is None:
return False
else:
return all(
is_subrange(
self._tensor.index_range_set.known_ranges[self.indices[i]],
self._tensor.index_range_set.known_ranges[self._tensor.indices[i]]
) for i in xrange(len(self.indices)))