<jupyter_start><jupyter_text>The result shows operation time (second per operation) of `getindex`, `rank1`, and `select1`.  dense<jupyter_code>plot_bench("getindex", 0.5)
plot_bench("rank1", 0.5)
plot_bench("select1", 0.5)<jupyter_output><empty_output><jupyter_text>sparse<jupyter_code>plot_bench("getindex", 0.1)
plot_bench("rank1", 0.1)
plot_bench("select1", 0.1)<jupyter_output><empty_output><jupyter_text>very sparse<jupyter_code>plot_bench("getindex", 0.01)
plot_bench("rank1", 0.01)
plot_bench("select1", 0.01)
pd.options.display.max_rows = 1000
bench<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.16183986371379896, 'fraction_numerical': 0.056218057921635436, 'mean_word_length': 11.25, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, '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': '3', 'dir': 'jupyter-structured-clean-dedup', 'id': '652192', 'license': 'MIT', 'n_tokens_mistral': 256, 'n_tokens_neox': 236, 'n_words': 33, 'path': 'benchmarks/plot.ipynb', 'repo_name': 'bicycle1885/IndexedBitVectors.jl', 'size': '587'}