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Benchmarks

These benchmarks serve two purposes:

  1. Thorough performance tests against regression
    • tqdm
    • tqdm(miniters=manually_optimised, smoothing=0)
    • no-progress (empty loop without progress wrapper)
  2. Compare tqdm's speed to popular alternatives

Performance graphs are available at https://tqdm.github.io/tqdm

Running

These benchmarks are run automatically for all releases and pull requests.

To run locally:

  • conda/pip install virtualenv and asv
  • clone this repository
  • run asv --help in the repository root (one directory above this file)