<jupyter_start><jupyter_text>Tokenizer App ← ↑Chose settings and run Tokenizer<jupyter_code>from __init__ import init_vars
init_vars(vars())

from tokenizer.widgets import token_app
token_app()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.08520179372197309, 'fraction_numerical': 0.0, 'mean_word_length': 10.789473684210526, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, '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': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '496734', 'license': 'MIT', 'n_tokens_mistral': 82, 'n_tokens_neox': 79, 'n_words': 17, 'path': 'tomef/tokenizer/tokenizer.app.ipynb', 'repo_name': 'unlikelymaths/tomef', 'size': '223'}