google-research

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# coding=utf-8
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# Copyright 2024 The Google Research Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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#     http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import anndata
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import numpy as np
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import scipy.sparse
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import tensorflow as tf
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from schptm_benchmark import resize_bins_lib
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def generate_dummy_data(binsize=1000):
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  test_x = scipy.sparse.csr_matrix(np.eye(10))
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  test_bins = [f'chr1:{i*binsize}-{(i+1)*binsize}' for i in range(0, 10)]
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  test_adata = anndata.AnnData(test_x)
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  test_adata.var_names = test_bins
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  return test_adata
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class MergeBinsTest(tf.test.TestCase):
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  def test_proper_sum(self):
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    test_adata = generate_dummy_data(1000)
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    resized_adata = resize_bins_lib.merge_bins(test_adata, 2000)
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    self.assertAllEqual(
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        np.sum(test_adata.X, axis=1), np.sum(resized_adata.X, axis=1))
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if __name__ == '__main__':
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  tf.test.main()
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