<jupyter_start><jupyter_text>sample numpy<jupyter_code>import numpy as np

x = [1, 2, 3, 4]
x_np = np.array(x)
print(type(x_np))<jupyter_output><type 'numpy.ndarray'>
{'fraction_non_alphanumeric': 0.16265060240963855, 'fraction_numerical': 0.024096385542168676, 'mean_word_length': 7.7894736842105265, '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': '225522', 'license': 'MIT', 'n_tokens_mistral': 82, 'n_tokens_neox': 78, 'n_words': 14, 'path': 'python_exercises.ipynb', 'repo_name': 'vrushalipatel/aardwolf', 'size': '166'}