def submit(sub, env='Hummel'):
name_list = [
"The", "owls", "are", "not", "what", "they", "seem", "COOPER",
"COOPER", "COOPER", "COOPER", "COOPER", "COOPER", "COOPER", "COOPER",
"COOPER", "COOPER", "COOPER", "COOPER", "COOPER", "COOPER", "COOPER",
"COOPER", "COOPER", "COOPER", "COOPER", "COOPER", "COOPER", "COOPER",
"COOPER", "COOPER", "COOPER", "COOPER", "COOPER", "COOPER", "COOPER",
"COOPER", "COOPER", "COOPER", "COOPER", "COOPER"
]
if env == 'Hummel':
def keys(sub):
keys = []
for ses in [2, 3]:
keys.append((sub, ses, env))
return keys
slu.pmap(par_execute,
keys(sub),
walltime='2:00:00',
memory=40,
nodes=1,
tasks=2,
name='SubjectLevel')
elif env == 'Climag':
for ses in [2, 3]:
pbs.pmap(execute, [(sub, ses, env)],
walltime='4:00:00',
memory=40,
nodes=1,
tasks=2,
name=name_list[sub])
def submit(sub):
slu.pmap(par_execute,
keys(sub),
walltime='2:55:00',
memory=30,
nodes=1,
tasks=6,
name='fmri_align')
def submit():
slu.pmap(par_execute,
keys(),
walltime='2:55:00',
memory=60,
nodes=1,
tasks=16,
name='brainstem_coefs')
def submit():
for sub in range(1, 23):
slu.pmap(par_execute,
keys(sub),
walltime='2:55:00',
memory=60,
nodes=1,
tasks=2,
name='fmri_align')
def submit():
from decim import slurm_submit as slu
for chunk in grouper(keys(), 6):
slu.pmap(par_execute,
chunk,
walltime='2:00:00',
memory=60,
nodes=1,
tasks=16,
name='bids_stan')
def submit():
from decim import slurm_submit as slu
for ii, chunk in enumerate(grouper(fix_keys(), 1000)):
slu.pmap(par_execute,
ii,
chunk,
walltime='11:55:00',
memory=60,
nodes=1,
tasks=16,
name='PRECOVERY')
def hummel_submit():
flex_dir = '/work/faty014/FLEXRULE'
def keys():
keys = []
for sub in range(1, 23):
for task in ['inference', 'instructed']:
keys.append((sub, flex_dir, task))
return keys
def par_execute(keys):
with Pool(16) as p:
p.starmap(extract_brainstem, keys)
slu.pmap(par_execute,
keys(),
walltime='2:55:00',
memory=60,
nodes=1,
tasks=16,
name='brainstem_coefs')