<jupyter_start><jupyter_text>This is test title $$ c = \sqrt(a^2 + b^2) $$<jupyter_code>! ls
! echo 'Hello, World!!!'
! echo $helloText
%%bash
cd testDir/
ls -l
%lsmagic
%pylab inline
y = range(10)
y
plot(y)
(190**4 - 120/0.3)*1780<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.19157088122605365, 'fraction_numerical': 0.06513409961685823, 'mean_word_length': 5.390243902439025, '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': '433705', 'license': 'MIT', 'n_tokens_mistral': 133, 'n_tokens_neox': 122, 'n_words': 28, 'path': 'mathematics-python-for-data-analysis/introduction-to-notebooks/intro-notebooks.ipynb', 'repo_name': 'ivan-magda/machine-learning-data-analysis', 'size': '261'}