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        "author": "Lukas Waymann",
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        "description": "This module provides a context manager for measuring execution times:\n\n```python\n>>> from timethis import timethis\n>>> with timethis('computing large sum'):\n...     x = sum(range(10**7))\n...\ncomputing large sum: 0.203 seconds\n```\n\nUsage of `timethis` can be nested:\n\n```python\n>>> with timethis('figuring things out'):\n...     with timethis('computing large sum'):\n...         x = sum(range(10**7))\n...     with timethis('finding some primes'):\n...         y = [2] + [i for i in range(3, 10**4) if all(i % j != 0 for j in range(2, i // 2 + 1))]\n...\n\u2502 computing large sum: 0.205 seconds\n\u2502 finding some primes: 0.305 seconds\nfiguring things out: 0.510 seconds\n```\n\nIt's easy to use (for example) `logging` instead of `print`:\n\n```python\n>>> import logging\n>>> with timethis('computing large sum', logging.warning):\n...     x = sum(range(10**7))\n...\nWARNING:root:computing large sum: 0.218 seconds\n```\n\n[1]: https://docs.python.org/3/glossary.html#term-context-manager\n[2]: https://docs.python.org/3/reference/compound_stmts.html#with\n[3]: https://docs.python.org/3/reference/datamodel.html#context-managers\n[4]: https://docs.python.org/3/library/timeit.html\n[5]: https://github.com/dabeaz/python-cookbook/blob/master/src/14/profiling_and_timing_your_program/timethis.py\n[6]: https://github.com/jasonamyers/python-class/blob/master/timethis.py\n\n\n",
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