<jupyter_start><jupyter_text>Cpu usage of 1500% means 1500 / 100 = 15 cores are being fully utilized<jupyter_code>print("Average runtime: %s seconds" % benchmark_results.get_averages().process.execution_time)
# Get lists for accurate values of different kinds of resources over iterations
benchmark_results.get_values_per_attribute()<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.07988980716253444, 'fraction_numerical': 0.03581267217630854, 'mean_word_length': 8.333333333333334, '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': '194190', 'license': 'MIT', 'n_tokens_mistral': 124, 'n_tokens_neox': 105, 'n_words': 30, 'path': 'benchmark-usage.ipynb', 'repo_name': 'apetkau/cmdbench', 'size': '363'}