| # Copyright (c) MONAI Consortium | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from __future__ import annotations | |
| from monai.transforms.traits import InvertibleTrait | |
| __all__ = ["ApplyPending"] | |
| class ApplyPending(InvertibleTrait): | |
| """ | |
| ApplyPending can be inserted into a pipeline that is being executed lazily in order to ensure | |
| resampling happens before the next transform. It doesn't do anything itself, but its presence | |
| causes the pipeline to be executed as ApplyPending doesn't implement ```LazyTrait``. | |
| See ``Compose`` for a detailed explanation of the lazy resampling feature. | |
| """ | |
| def __call__(self, data): | |
| return data | |
| def inverse(self, data): | |
| return data | |