ChunkPart

field

Type: tuple[int, int, int] [Required]

Which elements of the item were executed in this chunk part.

This range has entries (start_idx, stop_idx, step) that slice the flattened shape of the corresponding quantum program item, after the permutation has been applied. That is, this part corresponds to the data elements flatten(permute(arr))[start_idx:stop_idx:step] for some data array arr whose shape matches the corresponding item shape. The lower index is inclusive, the upper index is exclusive, and the step must be positive.

It should hold that size == max(0, ceil((stop_idx - start_idx) / step)).

Validated by

• cross_validate
• must_be_a_valid_range

field

Type: int [Required]

The index of an item in a quantum program.

Validated by

• cross_validate

field

Type: list[int] [Required]

A permutation vector of the item shape before slicing elements with the element_range.

This list should hold contiguous integers starting at 0, in some order. The convention is that permuted_shape[i] = shape[permutation[i]] for every dimension index i.

Validated by

• cross_validate
• must_be_permutation_of_range

field

Type: int [Required]

The number of elements from the quantum program item that were executed.

For example, if a quantum program item has shape (10, 5), then it has a total of 50 elements, so that if this size is 10, it constitutes 20% of the total work for the item.

Validated by

• cross_validate

validator cross_validate

Check for mutual compatibility of types and shapes of attributes.

Return type

Self

validator must_be_a_valid_range

Check that we have a valid range tuple.

validator must_be_permutation_of_range

Check that we have a valid permutation vector.