<jupyter_start><jupyter_text>It's originated from https://github.com/fastai/fastbook/blob/master/14_resnet.ipynb.   Original notebook can run single worker with notebook<jupyter_code>with open('resnet.py', 'r') as text:
    textfile = text.read()
    print(textfile)
from subprocess import Popen, PIPE
process = Popen(["python", "resnet.py"])<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.13172043010752688, 'fraction_numerical': 0.005376344086021506, 'mean_word_length': 6.173076923076923, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 1, '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': '323296', 'license': 'MIT', 'n_tokens_mistral': 132, 'n_tokens_neox': 128, 'n_words': 27, 'path': 'demos/04_resnet.ipynb', 'repo_name': 'mszhanyi/PyMultiprocessDemo', 'size': '372'}