43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
#!/usr/bin/python
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import sys
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import math
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import multiprocessing
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import subprocess
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if len(sys.argv) < 2:
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print("supply the path to the doctest executable as the first argument!")
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sys.exit(1)
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# get the number of tests in the doctest executable
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num_tests = 0
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program_with_args = [sys.argv[1], "--dt-count=1"]
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for i in range(2, len(sys.argv)):
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program_with_args.append(sys.argv[i])
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result = subprocess.Popen(program_with_args, stdout = subprocess.PIPE).communicate()[0]
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result = result.splitlines(True)
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for line in result:
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if line.startswith("[doctest] unskipped test cases passing the current filters:"):
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num_tests = int(line.rsplit(' ', 1)[-1])
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# calculate the ranges
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cores = multiprocessing.cpu_count()
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l = range(num_tests + 1)
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n = int(math.ceil(float(len( l )) / cores))
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data = [l[i : i + n] for i in range(1, len( l ), n)]
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data = tuple([[x[0], x[-1]] for x in data])
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# for 8 cores and 100 tests the ranges will look like this
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# ([1, 13], [14, 26], [27, 39], [40, 52], [53, 65], [66, 78], [79, 91], [92, 100])
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# the worker callback that runs the executable for the given range of tests
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def worker((first, last)):
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program_with_args = [sys.argv[1], "--dt-first=" + str(first), "--dt-last=" + str(last)]
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subprocess.Popen(program_with_args)
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# run the tasks on a pool
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if __name__ == '__main__':
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p = multiprocessing.Pool(cores)
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p.map(worker, data)
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