<jupyter_start><jupyter_text>10.2<jupyter_code>samples = np.random.uniform(.5, 1., 10000)
zs = (samples - .5) / np.sqrt(samples * (1 - samples))
bet_size = 2 * norm.cdf(zs) - 1
bet_size<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1813953488372093, 'fraction_numerical': 0.06511627906976744, 'mean_word_length': 5.0, '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': '153264', 'license': 'MIT', 'n_tokens_mistral': 104, 'n_tokens_neox': 95, 'n_words': 15, 'path': 'finance_ml/examples/miscellaneous/Ch 10.ipynb', 'repo_name': 'mikimaus78/ml_monorepo', 'size': '215'}