<jupyter_start><jupyter_text>Jack's new python program `trial version only`<jupyter_code>import numpy as np
import scipy as sp
import pandas as pd
import matplotlib as mpl
df = pd.DataFrame()
d = pd.read_csv('HCEPDB_moldata.csv')
d.head()
d.columns()
d.columns
d.shape<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.10738255033557047, 'fraction_numerical': 0.0, 'mean_word_length': 6.666666666666667, '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': '344001', 'license': 'MIT', 'n_tokens_mistral': 119, 'n_tokens_neox': 115, 'n_words': 30, 'path': 'Bleh.ipynb', 'repo_name': 'JackOttoRyan/gemsec', 'size': '298'}