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BLKSerene/Wordless

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wordless/wl_nlp/wl_token_processing.py
a508352c

Summary

Maintainability
B
6 hrs
Test Coverage

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] = ''

    # 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_seg in sentence:
                        for i, token in enumerate(sentence_seg):
                            if token in stop_words:
                                sentence_seg[i] = ''
        else:
    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_seg in sentence:
                        for i, token in enumerate(sentence_seg):
                            if token.isupper():
                                sentence_seg[i] = ''
        # Title Case
      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_seg in sentence:
                        for i, token in enumerate(sentence_seg):
                            if token.lower() in stop_words:
                                sentence_seg[i] = ''
        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_seg in sentence:
                        for i, token in enumerate(sentence_seg):
                            if token.islower():
                                sentence_seg[i] = ''
        # Uppercase
          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_seg in sentence:
                        for i, token in enumerate(sentence_seg):
                            if token.istitle():
                                sentence_seg[i] = ''
    else:
            Severity: Major
            Found in wordless/wl_nlp/wl_token_processing.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_num(token):
                            sentence_seg[i] = ''

    # Filter stop words
              Severity: Major
              Found in wordless/wl_nlp/wl_token_processing.py - About 45 mins to fix

                Avoid deeply nested control flow statements.
                Open

                                    for token in sentence_seg:
                        token.tag = token.tag.lower()

    # Words
    if settings['words']:
                Severity: Major
                Found in wordless/wl_nlp/wl_token_processing.py - About 45 mins to fix

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