forked from huawei/mindspore2022
37 lines
1.7 KiB
Python
37 lines
1.7 KiB
Python
# Copyright 2020 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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This module is to support text processing for nlp. It includes two parts:
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transforms and utils. transforms is a high performance
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nlp text processing module which is developed with icu4c and cppjieba.
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utils provides some general methods for nlp text processing.
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"""
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import platform
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from .transforms import Lookup, JiebaTokenizer, UnicodeCharTokenizer, Ngram, WordpieceTokenizer, TruncateSequencePair, \
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ToNumber
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from .utils import to_str, to_bytes, JiebaMode, Vocab, NormalizeForm
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__all__ = [
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"Lookup", "JiebaTokenizer", "UnicodeCharTokenizer", "Ngram",
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"to_str", "to_bytes", "JiebaMode", "Vocab", "WordpieceTokenizer", "TruncateSequencePair", "ToNumber",
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"PythonTokenizer"
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]
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if platform.system().lower() != 'windows':
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from .transforms import UnicodeScriptTokenizer, WhitespaceTokenizer, CaseFold, NormalizeUTF8, \
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RegexReplace, RegexTokenizer, BasicTokenizer, BertTokenizer, PythonTokenizer
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__all__.append(["UnicodeScriptTokenizer", "WhitespaceTokenizer", "CaseFold", "NormalizeUTF8",
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"RegexReplace", "RegexTokenizer", "BasicTokenizer", "BertTokenizer", "NormalizeForm"])
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