5539259120

pending completion

Build # 5539259120

Build Type

Pull #818

github

Committed by

web-flow

Commit Message

Merge f38c51a8e into b5292f029

Pull Request Pull Request #818: Add pythainlp.wsd for Thai Word Sense Disambiguation

Run Details

77 of 77 new or added lines in 3 files covered. (100.0%)

5373 of 6433 relevant lines covered (83.52%)

0.84 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

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 == 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
15	class Parse:	×
16	def __init__(self, model: str = "th") -> None:	×
17	if model == None:	×
18	model = "th"	×
19	self.nlp = esupar.load(model)	×
20
21	def __call__(	×
22	self, text: str, tag: str = "str"
23	) -> Union[List[List[str]], str]:
24	_data = str(self.nlp(text))	×
25	if tag == "list":	×
26	_temp = _data.splitlines()	×
27	_tag_data = []	×
28	for i in _temp:	×
29	_tag_data.append(i.split())	×
30	return _tag_data	×
31	return _data	×

PyThaiNLP / pythainlp / 5539259120

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous