def __init__(self, shape, dtype=np.int32, accessor=None):
Tensor.__init__(self, shape, dtype)
if accessor is None:
self.accessor = SparseTable(shape, dtype)
else:
assert shape == accessor.shape
assert dtype == accessor.dtype
self.accessor = accessor
def __init__(self, shape, dtype=np.int32, block_list=None):
Tensor.__init__(self, shape, dtype)
if block_list is None:
self._block_list = BlockListBase(shape, dtype)
else:
assert isinstance(block_list, BlockList)
assert block_list.dtype == self.dtype
assert block_list.shape == self.shape
self._block_list = block_list
