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