Issues - BLKSerene/Wordless

Avoid deeply nested control flow statements.
Open

                        for sentence in wl_sentence_tokenization.wl_sentence_split(self.main, text_no_tags):
                            self.tokens_multilevel[-1].append([])

                            for sentence_seg in wl_sentence_tokenization.wl_sentence_seg_tokenize_tokens(
                                self.main,

Found in wordless/wl_nlp/wl_texts.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                    if re_match(search_term, dependency_relation.display_text(), flags = re_flags):
                        search_results.add(dependency_relation)
        else:

Found in wordless/wl_nlp/wl_matching.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                    for sentence_seg in sentence:
                        for i, token in enumerate(sentence_seg):
                            if token in stop_words:
                                sentence_seg[i] = ''
        else:

Found in wordless/wl_nlp/wl_token_processing.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                    for sentence in doc.sents:
                        htmls.append(spacy.displacy.render(
                            sentence,
                            style = 'dep',
                            minify = True,

Found in wordless/wl_nlp/wl_dependency_parsing.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            if not self.isRowHidden(row):
                                item = self.model().item(row, col)

                                val_cum += item.val
                                item.setText(f'{val_cum:.{precision_pcts}%}')

Found in wordless/wl_widgets/wl_tables.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            if not self.isRowHidden(row):
                                item = self.model().item(row, col)

                                item.setText(f'{item.val:.{precision_decimals}}')
                    # Percentages

Found in wordless/wl_widgets/wl_tables.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            for word in wl_word_tokenization.wl_word_tokenize_flat(main, tr, lang):
                                add_val_to_trs(trs_lexicon, word, vals)
                        else:

Found in utils/wl_generate_vader_dicts.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                        if self.settings_tags == 'body_tag_settings' and tag_name == '*':
                            opening_tag_text = opening_tag_text.replace('*', _tr('wl_settings_files', 'TAG'))
                            closing_tag_text = self.model().item(row, 3).text().replace('*', _tr('wl_settings_files', 'TAG'))
                            preview.setText(opening_tag_text + _tr('wl_settings_files', 'token') + closing_tag_text)
                        else:

Found in wordless/wl_settings/wl_settings_files.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                        if (para := para[tag_last_end:]):
                            tags_tokens = self.add_tags_splitting(para, tags_tokens)

            # Add empty tags for untagged files
            if not self.tagged:

Found in wordless/wl_nlp/wl_texts.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                    for token, lemma_search in set(zip(tokens, lemmas_search)):
                        if re_match(lemma_matched, lemma_search, flags = re_flags):
                            search_results.add(token)

Found in wordless/wl_nlp/wl_matching.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            for node in nodes:
                                len_node = len(node)

                                for j, ngram in enumerate(wl_nlp_utils.ngrams(parallel_unit, len_node)):
                                    if ngram == tuple(node):

Found in wordless/wl_concordancer_parallel.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            for k, ngram in enumerate(wl_nlp_utils.ngrams(tokens, len_search_term)):
                                if ngram == search_term:
                                    points.append([x_start + k / text.num_tokens * len_tokens_total, y_start - j])
                                    # Total
                                    points.append([x_start_total + k, 0])

Found in wordless/wl_concordancer.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            if (
                                (
                                    (
                                        not settings['search_settings']['match_dependency_relations']
                                        and (token in search_terms or head in search_terms)

Found in wordless/wl_dependency_parser.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            for j, collocate in enumerate(reversed(tokens_left)):
                                if wl_matching.check_context(
                                    i, tokens,
                                    context_settings = settings['search_settings']['context_settings'],
                                    search_terms_incl = search_terms_incl,

Found in wordless/wl_collocation_extractor.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                        if ngram == tuple(search_term):
                            self.dialog.items_found.append([table, row, col])

Found in wordless/wl_results/wl_results_search.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            for j, collocate in enumerate(tokens_right):
                                if wl_matching.check_context(
                                    i, tokens,
                                    context_settings = settings['search_settings']['context_settings'],
                                    search_terms_incl = search_terms_incl,

Found in wordless/wl_collocation_extractor.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                        for file in glob.glob(os.path.join(
                            self.settings_custom['general']['imp']['temp_files']['default_path'], '*.*'
                        )):
                            os.remove(file)

Found in wordless/wl_main.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            if settings_limit_searching == _tr('wl_collocation_extractor', 'None'):
                                tokens_left = tokens[max(0, i + window_left) : max(0, i + window_right + 1)]
                            else:
                                # Span positions (Left)
                                for position in range(max(0, i + window_left), max(0, i + window_right + 1)):

Found in wordless/wl_collocation_extractor.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            if ngram == search_term:
                                collocations_freqs_file_filtered[(node, collocate)] = freqs

Found in wordless/wl_collocation_extractor.py - About 45 mins to fix

Avoid deeply nested control flow statements.
Open

                            if _tr('wl_wordlist_generator', 'No language support') in tokens_syllabified:
                                self.set_item_err(i, 2, tokens_syllabified, alignment_hor = 'left')
                            else:
                                self.model().setItem(i, 2, wl_tables.Wl_Table_Item(tokens_syllabified))

Found in wordless/wl_wordlist_generator.py - About 45 mins to fix

BLKSerene/Wordless

Showing 204 of 204 total issues

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

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BLKSerene/Wordless

Showing 204 of 204 total issues

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Avoid deeply nested control flow statements. Open

Severity

Category

Status

Source

Language

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open

Avoid deeply nested control flow statements.
Open