def test_remote_map_cluster_cartesian_args(self):
from pyhrf.tools import cartesian_combine_args
varying_args = {'b': range(3)}
fixed_args = {'a': 3}
args_comb = cartesian_combine_args(varying_args, fixed_args)
r = remote_map(foo, lkwargs=args_comb, mode='remote_cluster')
if 0:
print 'result:'
print r
def test_remote_map_cluster_cartesian_args(self):
from pyhrf.tools import cartesian_combine_args
varying_args = { 'b' : range(3) }
fixed_args = {'a' : 3 }
args_comb = cartesian_combine_args(varying_args, fixed_args)
r = remote_map(foo, lkwargs=args_comb, mode='remote_cluster')
if 0:
print 'result:'
print r
def test_remote_map_cluster_many_jobs(self):
print 'cfg:', cfg['parallel-cluster']['enable_unit_test']
remote_map(foo, [(5,6)]*10, mode='remote_cluster')
def _test_remote_map_basic(self, mode):
r = remote_map(foo, [(1,),(2,)], [{'b':5},{'b':10}], mode=mode)
if 0:
print 'result:'
print r
def _test_remote_map_basic(self, mode):
r = remote_map(foo, [(1,), (2,)], [{'b': 5}, {'b': 10}], mode=mode)
def test_remote_map_cluster_many_jobs(self):
print 'cfg:', cfg['parallel-cluster']['enable_unit_test']
remote_map(foo, [(5, 6)] * 10, mode='remote_cluster')
def _test_remote_map_basic(self, mode):
r = remote_map(foo, [(1, ), (2, )], [{'b': 5}, {'b': 10}], mode=mode)