Merge pull request #1846 from dgquintas/infinity_takes_forever

Added "inf" as a valid option to run_test.py's -n flag.
pull/1860/head
Craig Tiller 10 years ago
commit 0bdfe8b147
  1. 16
      tools/run_tests/jobset.py
  2. 30
      tools/run_tests/run_tests.py

@ -66,6 +66,7 @@ def shuffle_iteratable(it):
# p as we take elements - this gives us a somewhat random set of values before # p as we take elements - this gives us a somewhat random set of values before
# we've seen all the values, but starts producing values without having to # we've seen all the values, but starts producing values without having to
# compute ALL of them at once, allowing tests to start a little earlier # compute ALL of them at once, allowing tests to start a little earlier
LARGE_THRESHOLD = 1000
nextit = [] nextit = []
p = 1 p = 1
for val in it: for val in it:
@ -74,6 +75,17 @@ def shuffle_iteratable(it):
yield val yield val
else: else:
nextit.append(val) nextit.append(val)
# if the input iterates over a large number of values (potentially
# infinite, we'd be in the loop for a while (again, potentially forever).
# We need to reset "nextit" every so often to, in the case of an infinite
# iterator, avoid growing "nextit" without ever freeing it.
if len(nextit) > LARGE_THRESHOLD:
random.shuffle(nextit)
for val in nextit:
yield val
nextit = []
p = 1
# after taking a random sampling, we shuffle the rest of the elements and # after taking a random sampling, we shuffle the rest of the elements and
# yield them # yield them
random.shuffle(nextit) random.shuffle(nextit)
@ -339,13 +351,15 @@ def run(cmdlines,
maxjobs=None, maxjobs=None,
newline_on_success=False, newline_on_success=False,
travis=False, travis=False,
infinite_runs=False,
stop_on_failure=False, stop_on_failure=False,
cache=None): cache=None):
js = Jobset(check_cancelled, js = Jobset(check_cancelled,
maxjobs if maxjobs is not None else _DEFAULT_MAX_JOBS, maxjobs if maxjobs is not None else _DEFAULT_MAX_JOBS,
newline_on_success, travis, stop_on_failure, newline_on_success, travis, stop_on_failure,
cache if cache is not None else NoCache()) cache if cache is not None else NoCache())
if not travis: # We can't sort an infinite sequence of runs.
if not travis or infinite_runs:
cmdlines = shuffle_iteratable(cmdlines) cmdlines = shuffle_iteratable(cmdlines)
else: else:
cmdlines = sorted(cmdlines, key=lambda x: x.shortname) cmdlines = sorted(cmdlines, key=lambda x: x.shortname)

@ -330,7 +330,28 @@ argp.add_argument('-c', '--config',
choices=['all'] + sorted(_CONFIGS.keys()), choices=['all'] + sorted(_CONFIGS.keys()),
nargs='+', nargs='+',
default=_DEFAULT) default=_DEFAULT)
argp.add_argument('-n', '--runs_per_test', default=1, type=int)
def runs_per_test_type(arg_str):
"""Auxilary function to parse the "runs_per_test" flag.
Returns:
A positive integer or 0, the latter indicating an infinite number of
runs.
Raises:
argparse.ArgumentTypeError: Upon invalid input.
"""
if arg_str == 'inf':
return 0
try:
n = int(arg_str)
if n <= 0: raise ValueError
except:
msg = "'{}' isn't a positive integer or 'inf'".format(arg_str)
raise argparse.ArgumentTypeError(msg)
argp.add_argument('-n', '--runs_per_test', default=1, type=runs_per_test_type,
help='A positive integer or "inf". If "inf", all tests will run in an '
'infinite loop. Especially useful in combination with "-f"')
argp.add_argument('-r', '--regex', default='.*', type=str) argp.add_argument('-r', '--regex', default='.*', type=str)
argp.add_argument('-j', '--jobs', default=2 * multiprocessing.cpu_count(), type=int) argp.add_argument('-j', '--jobs', default=2 * multiprocessing.cpu_count(), type=int)
argp.add_argument('-s', '--slowdown', default=1.0, type=float) argp.add_argument('-s', '--slowdown', default=1.0, type=float)
@ -453,11 +474,14 @@ def _build_and_run(check_cancelled, newline_on_success, travis, cache):
antagonists = [subprocess.Popen(['tools/run_tests/antagonist.py']) antagonists = [subprocess.Popen(['tools/run_tests/antagonist.py'])
for _ in range(0, args.antagonists)] for _ in range(0, args.antagonists)]
try: try:
infinite_runs = runs_per_test == 0
# run all the tests # run all the tests
all_runs = itertools.chain.from_iterable( runs_sequence = (itertools.repeat(one_run) if infinite_runs
itertools.repeat(one_run, runs_per_test)) else itertools.repeat(one_run, runs_per_test))
all_runs = itertools.chain.from_iterable(runs_sequence)
if not jobset.run(all_runs, check_cancelled, if not jobset.run(all_runs, check_cancelled,
newline_on_success=newline_on_success, travis=travis, newline_on_success=newline_on_success, travis=travis,
infinite_runs=infinite_runs,
maxjobs=args.jobs, maxjobs=args.jobs,
stop_on_failure=args.stop_on_failure, stop_on_failure=args.stop_on_failure,
cache=cache): cache=cache):

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