<jupyter_start><jupyter_text>Tasting tea<jupyter_code>import itertools as it
selects = list(it.combinations(range(8), 4))
len(selects)
# Chance picking at random, uniform probability.
100.0 * (1.0 / 70.0)
import numpy as np
npselects = np.array(selects)
np.sum((npselects < 4).astype(int), axis=1)<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14067278287461774, 'fraction_numerical': 0.039755351681957186, 'mean_word_length': 6.809523809523809, 'pattern_counts': {'":': 0, '<': 6, '<?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': '319437', 'license': 'Unlicense', 'n_tokens_mistral': 136, 'n_tokens_neox': 127, 'n_words': 27, 'path': 'tasting-tea.ipynb', 'repo_name': 'angela1C/jupyter-teaching-notebooks', 'size': '327'}