tensorstore.DimExpression.oindex[self, indices: NumpyIndexingSpec] DimExpression

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

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

Examples

>>> transform = ts.IndexTransform(input_labels=['x', 'y', 'z'])
>>> transform[ts.d['x', 'z'].oindex[[1, 2, 3], [4, 5, 6]]]
Rank 3 -> 3 index space transform:
  Input domain:
    0: [0, 3)
    1: (-inf*, +inf*) "y"
    2: [0, 3)
  Output index maps:
    out[0] = 0 + 1 * bounded((-inf, +inf), array(in)), where array =
      {{{1}}, {{2}}, {{3}}}
    out[1] = 0 + 1 * in[1]
    out[2] = 0 + 1 * bounded((-inf, +inf), array(in)), where array =
      {{{4, 5, 6}}}
Returns

Dimension expression with the indexing operation added.