<jupyter_start><jupyter_text>Tokenize Document App ← ↑Does the same as [Tokenize Document](./tokenize_document.ipynb), but all in one step.<jupyter_code>from __init__ import init_vars
init_vars(vars(), ('info', {}), ('runvars', {}))

from tokenizer.widgets import tokenize_document_widget
if RUN_SCRIPT: tokenize_document_widget(info,runvars)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12365591397849462, 'fraction_numerical': 0.0, 'mean_word_length': 9.36111111111111, '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': '378505', 'license': 'MIT', 'n_tokens_mistral': 130, 'n_tokens_neox': 124, 'n_words': 28, 'path': 'tomef/tokenizer/tokenize_document.app.ipynb', 'repo_name': 'unlikelymaths/tomef', 'size': '372'}