tensorstore.TensorStore.oindex.__setitem__(self, indices: NumpyIndexingSpec, source: TensorStore | ArrayLike)

Synchronously writes using NumPy-style indexing with outer indexing semantics.

This is similar to __setitem__(indices), but differs in that any integer or boolean array indexing terms are applied orthogonally:

>>> dataset = ts.open({
...     'driver': 'zarr',
...     'kvstore': {
...         'driver': 'memory'
...     }
... },
...                   dtype=ts.uint32,
...                   shape=[70, 80],
...                   create=True).result()
>>> dataset.oindex[[5, 6, 8], [2, 5]] = [1, 2]
>>> dataset[5:10, 0:6].read().result()
array([[0, 0, 1, 0, 0, 2],
       [0, 0, 1, 0, 0, 2],
       [0, 0, 0, 0, 0, 0],
       [0, 0, 1, 0, 0, 2],
       [0, 0, 0, 0, 0, 0]], dtype=uint32)
Parameters:
indices: NumpyIndexingSpec

NumPy-style indexing terms.

source: TensorStore | ArrayLike

Source array, broadcast-compatible with self.oindex[indices].domain and with a data type convertible to self.dtype. May be an existing TensorStore or any ArrayLike, including a scalar.

Warning

When not using a transaction, the subscript assignment syntax always blocks synchronously on the completion of the write operation. When performing multiple, fine-grained writes, it is recommended to either use a transaction or use the asynchronous TensorStore.write interface directly.

See also