<jupyter_start><jupyter_text>SLot Machine Game <NAME> 2.24.19 Data visualizations and statistical analysis of the slot_machine game<jupyter_code>import numpy as np
import matplotlib.pyplot as plt
import main

%matplotlib inline
%run main.py
# Oh here we go!
item_count = [3, 1, 4, 4, 2, 4, 3, 2, 2, 1, 4, 4, 3, 4, 3, 4, 2, 4, 4, 1, 1, 2, 3, 2]

turns = list(range(len(item_count)))
plt.bar(item_count, turns)
plt.show()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.133630289532294, 'fraction_numerical': 0.0645879732739421, 'mean_word_length': 5.25, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 6, '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': '23058', 'license': 'MIT', 'n_tokens_mistral': 210, 'n_tokens_neox': 182, 'n_words': 61, 'path': 'slot_machine.ipynb', 'repo_name': 'gorbulus/Slot_Machine', 'size': '457'}