tensorstore.IndexTransform.oindex[self, indices: NumpyIndexingSpec] → IndexTransform

Applies a NumPy-style indexing operation with outer indexing semantics.

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

Example

>>> transform = ts.IndexTransform(3)
>>> transform.oindex[2, [1, 2, 3], [6, 7, 8]]
Rank 2 -> 3 index space transform:
  Input domain:
    0: [0, 3)
    1: [0, 3)
  Output index maps:
    out[0] = 2
    out[1] = 0 + 1 * bounded((-inf, +inf), array(in)), where array =
      {{1}, {2}, {3}}
    out[2] = 0 + 1 * bounded((-inf, +inf), array(in)), where array =
      {{6, 7, 8}}

See also