forked from huawei/mindspore2022
101 lines
5.5 KiB
Python
101 lines
5.5 KiB
Python
# Copyright 2021 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 numpy as np
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import pytest
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import mindspore.dataset as ds
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import mindspore.dataset.audio.transforms as audio
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from mindspore import log as logger
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def count_unequal_element(data_expected, data_me, rtol, atol):
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assert data_expected.shape == data_me.shape
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total_count = len(data_expected.flatten())
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error = np.abs(data_expected - data_me)
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greater = np.greater(error, atol + np.abs(data_expected) * rtol)
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loss_count = np.count_nonzero(greater)
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assert (loss_count / total_count) < rtol, "\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}".format(
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data_expected[greater], data_me[greater], error[greater])
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def test_treble_biquad_eager():
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""" mindspore eager mode normal testcase:treble_biquad op"""
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# Original waveform
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waveform = np.array([[0.234, 1.873, 0.786], [-2.673, 0.886, 1.666]], dtype=np.float64)
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# Expect waveform
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expect_waveform = np.array([[1., 1., -1.], [-1., 1., -1.]], dtype=np.float64)
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treble_biquad_op = audio.TrebleBiquad(44100, 200.0)
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# Filtered waveform by treblebiquad
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output = treble_biquad_op(waveform)
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count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
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def test_treble_biquad_pipeline():
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""" mindspore pipeline mode normal testcase:treble_biquad op"""
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# Original waveform
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waveform = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float64)
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# Expect waveform
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expect_waveform = np.array([[1., -1., 1.], [1., -1., 1.]], dtype=np.float64)
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dataset = ds.NumpySlicesDataset(waveform, ["waveform"], shuffle=False)
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treble_biquad_op = audio.TrebleBiquad(44100, 200.0)
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# Filtered waveform by treblebiquad
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dataset = dataset.map(input_columns=["waveform"], operations=treble_biquad_op)
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i = 0
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for item in dataset.create_dict_iterator(num_epochs=1, output_numpy=True):
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count_unequal_element(expect_waveform[i, :], item['waveform'], 0.0001, 0.0001)
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i += 1
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def test_treble_biquad_invalid_input():
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def test_invalid_input(test_name, sample_rate, gain, central_freq, Q, error, error_msg):
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logger.info("Test TrebleBiquad with bad input: {0}".format(test_name))
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with pytest.raises(error) as error_info:
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audio.TrebleBiquad(sample_rate, gain, central_freq, Q)
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assert error_msg in str(error_info.value)
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test_invalid_input("invalid sample_rate parameter type as a float", 44100.5, 0.2, 3000, 0.707, TypeError,
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"Argument sample_rate with value 44100.5 is not of type [<class 'int'>],"
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" but got <class 'float'>.")
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test_invalid_input("invalid sample_rate parameter type as a String", "44100", 0.2, 3000, 0.707, TypeError,
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"Argument sample_rate with value 44100 is not of type [<class 'int'>], "
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"but got <class 'str'>.")
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test_invalid_input("invalid gain parameter type as a String", 4410, "0", 3000, 0.707, TypeError,
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"Argument gain with value 0 is not of type [<class 'float'>, <class 'int'>],"
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+ " but got <class 'str'>.")
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test_invalid_input("invalid central_rate parameter value", 4410, 0.2, None, 0.707, TypeError,
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"Argument central_freq with value None is not of type [<class 'float'>, <class 'int'>]," +
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" but got <class 'NoneType'>.")
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test_invalid_input("invalid Q parameter type as a String", 4410, 0.2, 3000, "0", TypeError,
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"Argument Q with value 0 is not of type [<class 'float'>, <class 'int'>]," +
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" but got <class 'str'>.")
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test_invalid_input("invalid sample_rate parameter value", 0, 0.2, 3000, 0.707, ValueError,
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"Input sample_rate is not within the required interval of [-2147483648, 0) and (0, 2147483647].")
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test_invalid_input("invalid sample_rate parameter value", 441324343243242342345300, 0.2, 3000, 0.707, ValueError,
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"Input sample_rate is not within the required interval of [-2147483648, 0) and (0, 2147483647].")
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test_invalid_input("invalid gain parameter value", 44100, 32434324324234321, 3000, 0.707, ValueError,
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"Input gain is not within the required interval of [-16777216, 16777216].")
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test_invalid_input("invalid central_freq parameter value", 44100, 0.2, 32434324324234321, 0.707, ValueError,
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"Input central_freq is not within the required interval of [-16777216, 16777216].")
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test_invalid_input("invalid Q parameter value", 44100, 0.2, 3000, 1.707, ValueError,
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"Input Q is not within the required interval of (0, 1].")
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test_invalid_input("invalid Q parameter value", 44100, 0.2, 3000, 0, ValueError,
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"Input Q is not within the required interval of (0, 1].")
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if __name__ == "__main__":
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test_treble_biquad_eager()
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test_treble_biquad_pipeline()
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test_treble_biquad_invalid_input()
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