wordless/wl_nlp/wl_dependency_parsing.py
Function wl_dependency_parse_fig_text
has 10 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def wl_dependency_parse_fig_text(
Function wl_dependency_parse_fig
has 10 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def wl_dependency_parse_fig(
Function wl_dependency_parse_fig_tokens
has 10 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def wl_dependency_parse_fig_tokens(
Avoid deeply nested control flow statements. Open
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for sentence in doc.sents:
displacy_dict = spacy.displacy.parse_deps(sentence, options = options)
if token_properties:
for token, word in zip(sentence, displacy_dict['words']):
Avoid deeply nested control flow statements. Open
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if token_properties:
i_tag_start += len(doc)
Avoid deeply nested control flow statements. Open
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for sentence in doc.sents:
displacy_dict = spacy.displacy.parse_deps(sentence, options = options)
if token_properties:
for token, word in zip(sentence, displacy_dict['words']):
Avoid deeply nested control flow statements. Open
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if token_properties:
i_tag_start += len(doc)
else:
Avoid deeply nested control flow statements. Open
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for sentence in doc.sents:
htmls.append(spacy.displacy.render(
sentence,
style = 'dep',
minify = True,
Function wl_dependency_parse
has 5 arguments (exceeds 4 allowed). Consider refactoring. Open
Open
def wl_dependency_parse(main, inputs, lang, dependency_parser = 'default', force = False):