forked from mindspore-Ecosystem/mindspore
49 lines
2.0 KiB
Python
49 lines
2.0 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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import mindspore.common.dtype as mstype
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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 test_random_apply():
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ds.config.set_seed(0)
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def test_config(arr, op_list, prob=0.5):
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try:
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data = ds.NumpySlicesDataset(arr, column_names="col", shuffle=False)
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data = data.map(input_columns=["col"], operations=ops.RandomApply(op_list, prob))
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res = []
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for i in data.create_dict_iterator(num_epochs=1):
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res.append(i["col"].tolist())
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return res
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except (TypeError, ValueError) as e:
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return str(e)
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res1 = test_config([[0, 1]], [ops.Duplicate(), ops.Concatenate()])
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assert res1 in [[[0, 1]], [[0, 1, 0, 1]]]
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# test single nested compose
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assert test_config([[0, 1, 2]], [ops.Compose([ops.Duplicate(), ops.Concatenate(), ops.Slice([0, 1, 2])])]) == [
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[0, 1, 2]]
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# test exception
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assert "is not of type (<class 'list'>" in test_config([1, 0], ops.TypeCast(mstype.int32))
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assert "Input prob is not within the required interval" in test_config([0, 1], [ops.Slice([0, 1])], 1.1)
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assert "is not of type (<class 'float'>" in test_config([1, 0], [ops.TypeCast(mstype.int32)], None)
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assert "op_list with value None is not of type (<class 'list'>" in test_config([1, 0], None)
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if __name__ == "__main__":
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test_random_apply()
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