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57 lines
1.9 KiB
Python

try:
# Python 2.7: use the C pickle to speed up
# test_concurrency_safe_write which pickles big python objects
import cPickle as cpickle
except ImportError:
import pickle as cpickle
import functools
import time
from joblib.testing import parametrize, timeout
from joblib.test.common import with_multiprocessing
from joblib.backports import concurrency_safe_rename
from joblib import Parallel, delayed
from joblib._store_backends import concurrency_safe_write
def write_func(output, filename):
with open(filename, 'wb') as f:
cpickle.dump(output, f)
def load_func(expected, filename):
for i in range(10):
try:
with open(filename, 'rb') as f:
reloaded = cpickle.load(f)
break
except (OSError, IOError):
# On Windows you can have WindowsError ([Error 5] Access
# is denied or [Error 13] Permission denied) when reading the file,
# probably because a writer process has a lock on the file
time.sleep(0.1)
else:
raise
assert expected == reloaded
def concurrency_safe_write_rename(to_write, filename, write_func):
temporary_filename = concurrency_safe_write(to_write,
filename, write_func)
concurrency_safe_rename(temporary_filename, filename)
@timeout(0) # No timeout as this test can be long
@with_multiprocessing
@parametrize('backend', ['multiprocessing', 'loky', 'threading'])
def test_concurrency_safe_write(tmpdir, backend):
# Add one item to cache
filename = tmpdir.join('test.pkl').strpath
obj = {str(i): i for i in range(int(1e5))}
funcs = [functools.partial(concurrency_safe_write_rename,
write_func=write_func)
if i % 3 != 2 else load_func for i in range(12)]
Parallel(n_jobs=2, backend=backend)(
delayed(func)(obj, filename) for func in funcs)