mindspore2022/tests/ut/python/dataset/test_bass_biquad.py

# 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_bass_biquad_eager():
    """ mindspore eager mode normal testcase:bass_biquad op"""

    # Original waveform
    waveform = np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], dtype=np.float64)
    # Expect waveform
    expect_waveform = np.array([[0.10409035359, 0.21652136269, 0.33761211292],
                                [0.41636141439, 0.55381438997, 0.70088436361]], dtype=np.float64)
    bass_biquad_op = audio.BassBiquad(44100, 50.0, 100.0, 0.707)
    # Filtered waveform by bassbiquad
    output = bass_biquad_op(waveform)
    _count_unequal_element(expect_waveform, output, 0.0001, 0.0001)


def test_func_bass_biquad_pipeline():
    """ mindspore pipeline mode normal testcase:bass_biquad op"""

    # Original waveform
    waveform = np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], dtype=np.float64)
    # Expect waveform
    expect_waveform = np.array([[0.10409035359, 0.21652136269, 0.33761211292],
                                [0.41636141439, 0.55381438997, 0.70088436361]], dtype=np.float64)
    label = np.random.sample((2, 1))
    data = (waveform, label)
    dataset = ds.NumpySlicesDataset(data, ["channel", "sample"], shuffle=False)
    bass_biquad_op = audio.BassBiquad(44100, 50, 100.0, 0.707)
    # Filtered waveform by bassbiquad
    dataset = dataset.map(
        input_columns=["channel"], operations=bass_biquad_op, num_parallel_workers=8)
    i = 0
    for _ in dataset.create_dict_iterator(output_numpy=True):
        _count_unequal_element(expect_waveform[i, :],
                               _['channel'], 0.0001, 0.0001)
        i += 1


def test_invalid_invalid_input():
    def test_invalid_input(test_name, sample_rate, gain, central_freq, Q, error, error_msg):
        logger.info("Test BassBiquad with bad input: {0}".format(test_name))
        with pytest.raises(error) as error_info:
            audio.BassBiquad(sample_rate, gain, central_freq, Q)
        assert error_msg in str(error_info.value)
    test_invalid_input("invalid sample_rate parameter type as a float", 44100.5, 50.0, 200, 0.707, TypeError,
                       "Argument sample_rate with value 44100.5 is not of type [<class 'int'>],"
                       " but got <class 'float'>.")
    test_invalid_input("invalid sample_rate parameter type as a String", "44100", 50.0, 200, 0.707, TypeError,
                       "Argument sample_rate with value 44100 is not of type [<class 'int'>],"
                       " but got <class 'str'>.")
    test_invalid_input("invalid gain parameter type as a String", 44100, "50.0", 200, 0.707, TypeError,
                       "Argument gain with value 50.0 is not of type [<class 'float'>, <class 'int'>],"
                       " but got <class 'str'>.")
    test_invalid_input("invalid contral_freq parameter type as a String", 44100, 50.0, "200", 0.707, TypeError,
                       "Argument central_freq with value 200 is not of type [<class 'float'>, <class 'int'>],"
                       " but got <class 'str'>.")
    test_invalid_input("invalid Q parameter type as a String", 44100, 50.0, 200, "0.707", TypeError,
                       "Argument Q with value 0.707 is not of type [<class 'float'>, <class 'int'>],"
                       " but got <class 'str'>.")

    test_invalid_input("invalid sample_rate parameter value", 441324343243242342345300, 50.0, 200, 0.707, ValueError,
                       "Input sample_rate is not within the required interval of [-2147483648, 2147483647].")
    test_invalid_input("invalid gain parameter value", 44100, 32434324324234321, 200, 0.707, ValueError,
                       "Input gain is not within the required interval of [-16777216, 16777216].")
    test_invalid_input("invalid contral_freq parameter value", 44100, 50, 32434324324234321, 0.707, ValueError,
                       "Input central_freq is not within the required interval of [-16777216, 16777216].")

    test_invalid_input("invalid sample_rate parameter value", None, 50.0, 200, 0.707, TypeError,
                       "Argument sample_rate with value None is not of type [<class 'int'>], "
                       "but got <class 'NoneType'>.")
    test_invalid_input("invalid gain parameter value", 44100, None, 200, 0.707, TypeError,
                       "Argument gain with value None is not of type [<class 'float'>, <class 'int'>], "
                       "but got <class 'NoneType'>.")
    test_invalid_input("invalid central_rate parameter value", 44100, 50.0, None, 0.707, TypeError,
                       "Argument central_freq with value None is not of type [<class 'float'>, <class 'int'>],"
                       " but got <class 'NoneType'>.")

    test_invalid_input("invalid sample_rate parameter value", 0, 50.0, 200, 0.707, ValueError,
                       "Input sample_rate can not be 0.")
    test_invalid_input("invalid Q parameter value", 44100, 50.0, 200, 1.707, ValueError,
                       "Input Q is not within the required interval of (0, 1].")

if __name__ == '__main__':
    test_func_bass_biquad_eager()
    test_func_bass_biquad_pipeline()
    test_invalid_invalid_input()