41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# Copyright 2020 Huawei Technologies Co., Ltd
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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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# ==============================================================================
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"""
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Testing Duplicate op in DE
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"""
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import numpy as np
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import mindspore.dataset as ds
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import mindspore.dataset.transforms.c_transforms as ops
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def compare(array):
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data = ds.NumpySlicesDataset([array], column_names="x")
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array = np.array(array)
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data = data.map(input_columns=["x"], output_columns=["x", "y"], column_order=["x", "y"],
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operations=ops.Duplicate())
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for d in data.create_dict_iterator(num_epochs=1):
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np.testing.assert_array_equal(array, d["x"])
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np.testing.assert_array_equal(array, d["y"])
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def test_duplicate_basics():
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compare([1, 2, 3])
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compare([b"1", b"2", b"3"])
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if __name__ == "__main__":
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test_duplicate_basics()
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