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Avoid deeply nested control flow statements.
Open

                    for item in range(100):
                        item = wl_texts.Wl_Token(str(item))
                        freq_1, freq_2 = random.sample(range(100), 2)

                        freq_files_items[item] = [
Severity: Major
Found in tests/tests_figs/test_figs_freqs.py - About 45 mins to fix

    Avoid deeply nested control flow statements.
    Open

                        for token in sentence_seg:
                        if wl_checks_tokens.is_punc(token.head):
                            token.head = None
    Severity: Major
    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,
      Severity: Major
      Found in wordless/wl_nlp/wl_dependency_parsing.py - About 45 mins to fix

        Avoid deeply nested control flow statements.
        Open

                                    for j, collocate in enumerate(reversed(tags_left)):
                                if wl_matching.check_context(
                                    i, tokens,
                                    context_settings = settings['search_settings']['context_settings'],
                                    search_terms_incl = search_terms_incl,
        Severity: Major
        Found in wordless/wl_colligation_extractor.py - About 45 mins to fix

          Avoid deeply nested control flow statements.
          Open

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

                            for sentence_seg in wl_sentence_tokenization.wl_sentence_seg_tokenize_tokens(
                                self.main,
          Severity: Major
          Found in wordless/wl_nlp/wl_texts.py - About 45 mins to fix

            Avoid deeply nested control flow statements.
            Open

                                        for j, count in enumerate(counts):
                                self.set_item_num(
                                    row = self.model().rowCount() - 2,
                                    col = j,
                                    val = count
            Severity: Major
            Found in wordless/wl_profiler.py - About 45 mins to fix

              Avoid deeply nested control flow statements.
              Open

                              for item, trs in TRS_MISC.items():
                    if tr == item:
                        tr = trs[0]

                        break
              Severity: Major
              Found in utils/wl_trs_translate.py - About 45 mins to fix

                Avoid deeply nested control flow statements.
                Open

                                    for doc in nlp.pipe(lines):
                        for token in doc:
                            texts_tagged.append(token.text)

                            if tagset in ['default', 'raw']:
                Severity: Major
                Found in wordless/wl_nlp/wl_pos_tagging.py - About 45 mins to fix

                  Function add_header_vert has 6 arguments (exceeds 4 allowed). Consider refactoring.
                  Open

                      def add_header_vert(
                  Severity: Minor
                  Found in wordless/wl_widgets/wl_tables.py - About 45 mins to fix

                    Avoid deeply nested control flow statements.
                    Open

                                        if token_properties:
                        i_tag_start += len(doc)
            else:
                    Severity: Major
                    Found in wordless/wl_nlp/wl_dependency_parsing.py - About 45 mins to fix

                      Avoid deeply nested control flow statements.
                      Open

                                                  for j, collocate in enumerate(tags_right):
                                if wl_matching.check_context(
                                    i, tokens,
                                    context_settings = settings['search_settings']['context_settings'],
                                    search_terms_incl = search_terms_incl,
                      Severity: Major
                      Found in wordless/wl_colligation_extractor.py - About 45 mins to fix

                        Avoid deeply nested control flow statements.
                        Open

                                            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']):
                        Severity: Major
                        Found in wordless/wl_nlp/wl_dependency_parsing.py - About 45 mins to fix

                          Avoid deeply nested control flow statements.
                          Open

                                                      for col in cols:
                                row_to_exp.append(self.table.model().item(row, col).text())
                          Severity: Major
                          Found in wordless/wl_widgets/wl_tables.py - About 45 mins to fix

                            Avoid deeply nested control flow statements.
                            Open

                                                        if (
                                ngram in search_terms
                                and wl_matching.check_context(
                                    j, tokens,
                                    context_settings = settings['search_settings']['context_settings'],
                            Severity: Major
                            Found in wordless/wl_concordancer_parallel.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:
                              Severity: Major
                              Found in wordless/wl_nlp/wl_matching.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
                                Severity: Major
                                Found in wordless/wl_widgets/wl_tables.py - About 45 mins to fix

                                  Avoid deeply nested control flow statements.
                                  Open

                                                              if settings['token_settings']['punc_marks']:
                                node_tokens_search = list(ngram)

                                # Remove empty tokens for searching in results
                                left_tokens_search = [token for token in copy.deepcopy(left_tokens_raw) if token]
                                  Severity: Major
                                  Found in wordless/wl_concordancer.py - About 45 mins to fix

                                    Avoid deeply nested control flow statements.
                                    Open

                                                        for i, token in enumerate(sentence_seg):
                        if wl_checks_tokens.is_word_alphabetic(token):
                            sentence_seg[i] = wl_texts.Wl_Token('')

    # Numerals
                                    Severity: Major
                                    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:
                        displacy_dict = spacy.displacy.parse_deps(sentence, options = options)

                        if token_properties:
                            for token, word in zip(sentence, displacy_dict['words']):
                                      Severity: Major
                                      Found in wordless/wl_nlp/wl_dependency_parsing.py - About 45 mins to fix

                                        Avoid deeply nested control flow statements.
                                        Open

                                                                    for j in range(11):
                                self.set_item_err(row + j, i, text = self.tr('No language support'), alignment_hor = 'right')
                                        Severity: Major
                                        Found in wordless/wl_profiler.py - About 45 mins to fix
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