with allow_missing_keys_mode

[rijobro]

Allows keys to be temporarily be missing from map transform using with:

data = {"image": np.arange(16, dtype=float).reshape(1, 4, 4)}
t = SpatialPadd(["image", "label"], 10, allow_missing_keys=False)
_ = t(data)  # would raise exception
with allow_missing_keys_mode(t):
    _ = t(data)  # OK!

This will be useful for doing the inverse of a segmented volume, since you probably won't need to do the inverse of the image key, only the label key.

Required apply_transform to be moved into transform.py to avoid circular import.

Status

Ready

Types of changes

• Non-breaking change (fix or new feature that would not break existing functionality).
• New tests added to cover the changes.
• Integration tests passed locally by running ./runtests.sh --codeformat --coverage.
• Quick tests passed locally by running ./runtests.sh --quick.
• In-line docstrings updated.
• Documentation updated, tested make html command in the docs/ folder.

[Nic-Ma]

Looks good to me.
Thanks.