# Copyright 2021 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== import numpy as np import pytest import mindspore.dataset as ds import mindspore.dataset.audio.transforms as audio from mindspore import log as logger def count_unequal_element(data_expected, data_me, rtol, atol): assert data_expected.shape == data_me.shape total_count = len(data_expected.flatten()) error = np.abs(data_expected - data_me) greater = np.greater(error, atol + np.abs(data_expected) * rtol) loss_count = np.count_nonzero(greater) assert (loss_count / total_count) < rtol, \ "\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}". \ format(data_expected[greater], data_me[greater], error[greater]) def test_func_biquad_eager(): """ mindspore eager mode normal testcase:biquad op""" # Original waveform waveform = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float64) # Expect waveform expect_waveform = np.array([[0.0100, 0.0388, 0.1923], [0.0400, 0.1252, 0.6530]], dtype=np.float64) biquad_op = audio.Biquad(0.01, 0.02, 0.13, 1, 0.12, 0.3) # Filtered waveform by biquad output = biquad_op(waveform) count_unequal_element(expect_waveform, output, 0.0001, 0.0001) def test_func_biquad_pipeline(): """ mindspore pipeline mode normal testcase:biquad op""" # Original waveform waveform = np.array([[3.2, 2.1, 1.3], [6.2, 5.3, 6]], dtype=np.float64) # Expect waveform expect_waveform = np.array([[1.0000, 1.0000, 0.5844], [1.0000, 1.0000, 1.0000]], dtype=np.float64) dataset = ds.NumpySlicesDataset(waveform, ["audio"], shuffle=False) biquad_op = audio.Biquad(1, 0.02, 0.13, 1, 0.12, 0.3) # Filtered waveform by biquad dataset = dataset.map(input_columns=["audio"], operations=biquad_op, num_parallel_workers=8) i = 0 for item in dataset.create_dict_iterator(output_numpy=True): count_unequal_element(expect_waveform[i, :], item['audio'], 0.0001, 0.0001) i += 1 def test_biquad_invalid_input(): def test_invalid_input(test_name, b0, b1, b2, a0, a1, a2, error, error_msg): logger.info("Test Biquad with bad input: {0}".format(test_name)) with pytest.raises(error) as error_info: audio.Biquad(b0, b1, b2, a0, a1, a2) assert error_msg in str(error_info.value) test_invalid_input("invalid b0 parameter type as a String", "0.01", 0.02, 0.13, 1, 0.12, 0.3, TypeError, "Argument b0 with value 0.01 is not of type [, ]," " but got .") test_invalid_input("invalid b0 parameter value", 441324343243242342345300, 0.02, 0.13, 1, 0.12, 0.3, ValueError, "Input b0 is not within the required interval of [-16777216, 16777216].") test_invalid_input("invalid b1 parameter type as a String", 0.01, "0.02", 0.13, 0, 0.12, 0.3, TypeError, "Argument b1 with value 0.02 is not of type [, ]," " but got .") test_invalid_input("invalid b1 parameter value", 0.01, 441324343243242342345300, 0.13, 1, 0.12, 0.3, ValueError, "Input b1 is not within the required interval of [-16777216, 16777216].") test_invalid_input("invalid b2 parameter type as a String", 0.01, 0.02, "0.13", 0, 0.12, 0.3, TypeError, "Argument b2 with value 0.13 is not of type [, ]," " but got .") test_invalid_input("invalid b2 parameter value", 0.01, 0.02, 441324343243242342345300, 1, 0.12, 0.3, ValueError, "Input b2 is not within the required interval of [-16777216, 16777216].") test_invalid_input("invalid a0 parameter type as a String", 0.01, 0.02, 0.13, '1', 0.12, 0.3, TypeError, "Argument a0 with value 1 is not of type [, ]," " but got .") test_invalid_input("invalid a0 parameter value", 0.01, 0.02, 0.13, 0, 0.12, 0.3, ValueError, "Input a0 is not within the required interval of [-16777216, 0) and (0, 16777216].") test_invalid_input("invalid a0 parameter value", 0.01, 0.02, 0.13, 441324343243242342345300, 0.12, 0.3, ValueError, "Input a0 is not within the required interval of [-16777216, 0) and (0, 16777216].") test_invalid_input("invalid a1 parameter type as a String", 0.01, 0.02, 0.13, 1, '0.12', 0.3, TypeError, "Argument a1 with value 0.12 is not of type [, ]," " but got .") test_invalid_input("invalid a1 parameter value", 0.01, 0.02, 0.13, 1, 441324343243242342345300, 0.3, ValueError, "Input a1 is not within the required interval of [-16777216, 16777216].") test_invalid_input("invalid a2 parameter type as a String", 0.01, 0.02, 0.13, 1, 0.12, '0.3', TypeError, "Argument a2 with value 0.3 is not of type [, ]," " but got .") test_invalid_input("invalid a1 parameter value", 0.01, 0.02, 0.13, 1, 0.12, 441324343243242342345300, ValueError, "Input a2 is not within the required interval of [-16777216, 16777216].") if __name__ == '__main__': test_func_biquad_eager() test_func_biquad_pipeline() test_biquad_invalid_input()