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53 lines
1.7 KiB
53 lines
1.7 KiB
# 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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"""
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Testing UnicodeCharTokenizer op in DE
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"""
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import mindspore.dataset as ds
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from mindspore import log as logger
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import mindspore.dataset.text as nlp
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DATA_FILE = "../data/dataset/testTokenizerData/1.txt"
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def split_by_unicode_char(input_strs):
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"""
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Split utf-8 strings to unicode characters
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"""
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out = []
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for s in input_strs:
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out.append([c for c in s])
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return out
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def test_unicode_char_tokenizer():
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"""
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Test UnicodeCharTokenizer
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"""
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input_strs = ("Welcome to Beijing!", "北京欢迎您！", "我喜欢English!", " ")
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dataset = ds.TextFileDataset(DATA_FILE, shuffle=False)
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tokenizer = nlp.UnicodeCharTokenizer()
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dataset = dataset.map(operations=tokenizer)
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tokens = []
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for i in dataset.create_dict_iterator():
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text = nlp.to_str(i['text']).tolist()
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tokens.append(text)
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logger.info("The out tokens is : {}".format(tokens))
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assert split_by_unicode_char(input_strs) == tokens
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if __name__ == '__main__':
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test_unicode_char_tokenizer()
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