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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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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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# This file contains code derived from [Descript]
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# (https://github.com/descriptinc/audiotools),
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# which is licensed under the MIT License:
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#
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# MIT License
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#
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# Copyright (c) 2023-Present, Descript
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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import collections
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import csv
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import glob
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@ -30,6 +69,7 @@ from flatten_dict import unflatten
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from .audio_signal import AudioSignal
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from paddlespeech.utils import satisfy_paddle_version
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from paddlespeech.vector.training.seeding import seed_everything
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__all__ = [
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"exp_compat",
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@ -39,7 +79,6 @@ __all__ = [
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"info",
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"ensure_tensor",
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"random_state",
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"seed",
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"find_audio",
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"read_sources",
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"choose_from_list_of_lists",
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@ -268,22 +307,6 @@ def random_state(seed: typing.Union[int, np.random.RandomState]):
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" instance" % seed)
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def seed(random_seed, **kwargs):
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"""
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Seeds all random states with the same random seed
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for reproducibility. Seeds ``numpy``, ``random`` and ``paddle``
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random generators.
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Args:
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random_seed (int): integer corresponding to random seed to
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use.
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"""
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paddle.seed(random_seed)
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np.random.seed(random_seed)
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random.seed(random_seed)
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@contextmanager
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def _close_temp_files(tmpfiles: list):
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"""Utility function for creating a context and closing all temporary files
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