7182421863

Committed 12 Dec 2023 01:51PM UTC coverage: 84.875% (-0.6%) from 85.478%

Build # 7182421863

Build Type

Pull #890

github

Committed by

wannaphong

Commit Message

Update common.py

Pull Request Pull Request #890: Add pythainlp.corpus.find_synonyms

Run Details

10 of 13 new or added lines in 1 file covered. (76.92%)

51 existing lines in 8 files now uncovered.

6212 of 7319 relevant lines covered (84.87%)

0.85 hits per line

Source File
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30.0

/pythainlp/parse/esupar_engine.py

# -*- coding: utf-8 -*-
"""
esupar: Tokenizer, POS tagger and dependency parser with BERT/RoBERTa/DeBERTa models for Japanese and other languages

GitHub: https://github.com/KoichiYasuoka/esupar
"""
from typing import List, Union

try:
    import esupar
except ImportError:
    raise ImportError("Import Error; Install esupar by pip install esupar")


class Parse:
    def __init__(self, model: str = "th") -> None:
        if model is None:
            model = "th"
        self.nlp = esupar.load(model)

    def __call__(
        self, text: str, tag: str = "str"
    ) -> Union[List[List[str]], str]:
        _data = str(self.nlp(text))
        if tag == "list":
            _temp = _data.splitlines()
            _tag_data = []
            for i in _temp:
                _tag_data.append(i.split())
            return _tag_data
        return _data

1	# -- coding: utf-8 --
2	"""	1✔
3	esupar: Tokenizer, POS tagger and dependency parser with BERT/RoBERTa/DeBERTa models for Japanese and other languages
4
5	GitHub: https://github.com/KoichiYasuoka/esupar
6	"""
7	from typing import List, Union	1✔
8
9	try:	1✔
10	import esupar	1✔
11	except ImportError:	1✔
12	raise ImportError("Import Error; Install esupar by pip install esupar")	1✔
13
14
UNCOV 15	class Parse:	×
UNCOV 16	def __init__(self, model: str = "th") -> None:	×
UNCOV 17	if model is None:	×
UNCOV 18	model = "th"	×
UNCOV 19	self.nlp = esupar.load(model)	×
20
UNCOV 21	def __call__(	×
22	self, text: str, tag: str = "str"
23	) -> Union[List[List[str]], str]:
UNCOV 24	_data = str(self.nlp(text))	×
UNCOV 25	if tag == "list":	×
UNCOV 26	_temp = _data.splitlines()	×
UNCOV 27	_tag_data = []	×
UNCOV 28	for i in _temp:	×
UNCOV 29	_tag_data.append(i.split())	×
UNCOV 30	return _tag_data	×
UNCOV 31	return _data	×

PyThaiNLP / pythainlp / 7182421863

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