"""
Copyright (c) 2018-2022 Intel Corporation

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.
"""
from .format_converter import FileBasedAnnotationConverter, ConverterReturn
from ..representation import NoiseSuppressionAnnotation
from ..utils import read_txt


class NoiseSuppressionDatasetConverter(FileBasedAnnotationConverter):
    __provider__ = 'noise_suppression_dataset'

    def convert(self, check_content=False, **kwargs):
        pairs_list = read_txt(self.annotation_file)
        annotation = []
        for line in pairs_list:
            clean_signal, noisy_signal = line.split(' ')
            annotation.append(NoiseSuppressionAnnotation(noisy_signal, clean_signal))
        return ConverterReturn(annotation, None, None)

"""
Copyright (c) 2018-2022 Intel Corporation

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.
"""
from .format_converter import FileBasedAnnotationConverter, ConverterReturn
from ..representation import NoiseSuppressionAnnotation
from ..utils import read_txt


class NoiseSuppressionDatasetConverter(FileBasedAnnotationConverter):
    __provider__ = 'noise_suppression_dataset'

    def convert(self, check_content=False, **kwargs):
        pairs_list = read_txt(self.annotation_file)
        annotation = []
        for line in pairs_list:
            clean_signal, noisy_signal = line.split(' ')
            annotation.append(NoiseSuppressionAnnotation(noisy_signal, clean_signal))
        return ConverterReturn(annotation, None, None)

Copyright (c) 2018-2022 Intel Corporation  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.