[BEAM-9561] Run pandas doctests in parallel. #13286
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TheNeuralBit
approved these changes
Nov 11, 2020
| # Not available for Python 2. | ||
| import urllib.request | ||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument('-p', '--parallel', type=int, default=0) |
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nit: add a help string indicating the default is 0, which will use the cpu count
| @@ -74,22 +85,56 @@ def main(): | |||
| if any(filter in path for filter in filters): | |||
| paths.append(path) | |||
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| # Using a global here is a bit hacky, but avoids pickling issues when used | |||
| # with multiprocessing. | |||
| global parallelism | |||
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Is this needed because parallelism is used in run_tests? Instead of branching on parallelism inside run_tests could we just make a different method for the parallel vs single-threaded cases?
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This significantly speeds up running the full suite.
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