| # Copyright 2020 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. | |
| import unittest | |
| import numpy as np | |
| from parameterized import parameterized | |
| from monai.transforms import AsChannelFirst | |
| TEST_CASE_1 = [{"channel_dim": -1}, (4, 1, 2, 3)] | |
| TEST_CASE_2 = [{"channel_dim": 3}, (4, 1, 2, 3)] | |
| TEST_CASE_3 = [{"channel_dim": 2}, (3, 1, 2, 4)] | |
| class TestAsChannelFirst(unittest.TestCase): | |
| def test_shape(self, input_param, expected_shape): | |
| test_data = np.random.randint(0, 2, size=[1, 2, 3, 4]) | |
| result = AsChannelFirst(**input_param)(test_data) | |
| self.assertTupleEqual(result.shape, expected_shape) | |
| if __name__ == "__main__": | |
| unittest.main() | |