<jupyter_start><jupyter_text>Session 10<jupyter_code>import matplotlib.pyplot as plt
import numpy as np
n = 1000
x = np.random.gumbel(0,5,n)

bins = 100
plt.hist(x,bins=bins,alpha=0.5,edgecolor="black")
plt.xlabel("x")
plt.ylabel("N per bin")
plt.savefig("s10hist.pdf",bbox_inches="tight",facecolor="white")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.1661721068249258, 'fraction_numerical': 0.04451038575667656, 'mean_word_length': 8.941176470588236, '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': '626993', 'license': 'MIT', 'n_tokens_mistral': 161, 'n_tokens_neox': 143, 'n_words': 21, 'path': 'session 10.ipynb', 'repo_name': 'wendychen0/astr-19', 'size': '337'}