<jupyter_start><jupyter_text>Vanilla<jupyter_code>A.show(results, highlights=highlights)<jupyter_output><empty_output><jupyter_text>Cream<jupyter_code>A.show(results, highlights=highlights, standardFeatures=True)<jupyter_output><empty_output><jupyter_text>Chocolate<jupyter_code>A.displaySetup(
    withNodes=True,
    standardFeatures=False,
    extraFeatures=[
        "pgn_prps",
        "pgn_prde",
        "pgn_verb",
        "pgn_prs",
        "pdp",
        "typ",
        "rela",
        "ls",
        "function",
        "det",
        "st",
        "lex",
        "nametype",
        "gn",
        "nu",
        "nme",
        "lex:gloss",
    ],
)
A.show(results, highlights=highlights)
A.displayReset()
A.showContext()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14736842105263157, 'fraction_numerical': 0.0, 'mean_word_length': 3.047872340425532, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '314317', 'license': 'MIT', 'n_tokens_mistral': 285, 'n_tokens_neox': 280, 'n_words': 28, 'path': 'tutorial/cookbook/text.ipynb', 'repo_name': 'ETCBC/bhs', 'size': '760'}