forked from huawei/mindspore2022
127 lines
6.5 KiB
Python
127 lines
6.5 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_phaser_eager():
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"""
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Feature: Phaser
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Description: test Phaser in eager mode
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Expectation: the results are as expected
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"""
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# Original waveform
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waveform = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float32)
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# Expect waveform
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expect_waveform = np.array([[0.296, 0.71040004, 1.],
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[1., 1., 1.]], dtype=np.float32)
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sample_rate = 44100
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# Filtered waveform by phaser
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output = audio.Phaser(sample_rate=sample_rate)(waveform)
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count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
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def test_phaser_pipeline():
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"""
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Feature: Phaser
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Description: test Phaser in pipline mode
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Expectation: the results are as expected
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"""
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# Original waveform
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waveform = np.array([[0.1, 1.2, 5.3], [0.4, 5.5, 1.6]], dtype=np.float32)
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# Expect waveform
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expect_waveform = np.array([[0.0296, 0.36704, 1.],
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[0.11840001, 1., 1.]], dtype=np.float32)
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sample_rate = 44100
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dataset = ds.NumpySlicesDataset(waveform, ["waveform"], shuffle=False)
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phaser_op = audio.Phaser(sample_rate)
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# Filtered waveform by phaser
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dataset = dataset.map(
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input_columns=["waveform"], operations=phaser_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, :],
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item['waveform'], 0.0001, 0.0001)
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i += 1
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def test_phaser_invalid_input():
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"""
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Feature: Phaser
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Description: test invalid parameter of Phaser
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Expectation: catch exceptions correctly
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"""
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def test_invalid_input(test_name, sample_rate, gain_in, gain_out, delay_ms, decay, mod_speed, sinusoidal, error,
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error_msg):
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logger.info("Test Phaser with bad input: {0}".format(test_name))
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with pytest.raises(error) as error_info:
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audio.Phaser(sample_rate, gain_in, gain_out, delay_ms, decay, mod_speed, sinusoidal)
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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, 0.4, 0.74, 3.0, 0.4, 0.5, True,
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TypeError, "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 gain_in parameter type as a str", 44100, "1", 0.74, 3.0, 0.4, 0.5, True,
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TypeError, "Argument gain_in with value 1 is not of type [<class 'float'>, <class 'int'>],"
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+ " but got <class 'str'>.")
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test_invalid_input("invalid gain_out parameter type as a str", 44100, 0.4, "10", 3.0, 0.4, 0.5, True, TypeError,
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"Argument gain_out with value 10 is not of type [<class 'float'>, <class 'int'>],"
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+ " but got <class 'str'>.")
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test_invalid_input("invalid delay_ms parameter type as a str", 44100, 0.4, 0.74, "2", 0.4, 0.5, True, TypeError,
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"Argument delay_ms with value 2 is not of type [<class 'float'>, <class 'int'>],"
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+ " but got <class 'str'>.")
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test_invalid_input("invalid decay parameter type as a str", 44100, 0.4, 0.74, 3.0, "0", 0.5, True, TypeError,
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"Argument decay 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 mod_speed parameter type as a str", 44100, 0.4, 0.74, 3.0, 0.4, "3", True, TypeError,
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"Argument mod_speed with value 3 is not of type [<class 'float'>, <class 'int'>],"
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+ " but got <class 'str'>.")
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test_invalid_input("invalid sinusoidal parameter type as a str", 44100, 0.4, 0.74, 3.0, 0.4, 0.5, "True", TypeError,
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"Argument sinusoidal with value True is not of type [<class 'bool'>],"
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+ " but got <class 'str'>.")
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test_invalid_input("invalid sample_rate parameter value", 441324343243242342345300, 0.5, 0.74, 3.0, 0.4, 0.5, True,
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ValueError, "Input sample_rate is not within the required interval of "
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"[-2147483648, 2147483647].")
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test_invalid_input("invalid gain_in out of range [0, 1]", 44100, 2.0, 0.74, 3.0, 0.4, 0.5, True, ValueError,
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"Input gain_in is not within the required interval of [0, 1].")
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test_invalid_input("invalid gain_out out of range [0, 1e9]", 44100, 0.4, -2.0, 3.0, 0.4, 0.5, True, ValueError,
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"Input gain_out is not within the required interval of [0, 1000000000.0].")
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test_invalid_input("invalid delay_ms out of range [0, 5.0]", 44100, 0.4, 0.74, 6.0, 0.4, 0.5, True, ValueError,
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"Input delay_ms is not within the required interval of [0, 5.0].")
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test_invalid_input("invalid decay out of range [0, 0.99]", 44100, 0.4, 0.74, 3.0, 1.2, 0.5, True, ValueError,
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"Input decay is not within the required interval of [0, 0.99].")
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test_invalid_input("invalid mod_speed out of range [0.1, 2]", 44100, 0.4, 0.74, 3.0, 0.4, 0.003, True, ValueError,
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"Input mod_speed is not within the required interval of [0.1, 2].")
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if __name__ == "__main__":
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test_phaser_eager()
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test_phaser_pipeline()
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test_phaser_invalid_input()
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