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import argparse
import multiprocessing as mp
import time
import uuid
import rpy2.rinterface as ri
import rpy2.rinterface_lib.embedded
R_ID_TAG = '_rpy2_R_id_'
def print_setup(args):
print('-'*28)
print(f'Worker type : {args.worker}')
print(f'number or procs : {args.nproc}')
print(f'number of tasks : {args.ntask}')
print(f'max tasks per child: {args.maxtasksperchild}')
print('-'*28)
def initializer():
if rpy2.rinterface_lib.embedded.isready():
print('R is is already initialized!')
ri.initr()
# Add other R initialization code here.
# Loading R packages can have a very significant
# influence on the time to initialize.
def tag_r(r_id):
if R_ID_TAG in ri.globalenv:
print('This embedded R has already been used (has a state).')
ri.globalenv[R_ID_TAG] = r_id
def keys_globalenv():
return tuple(ri.globalenv.keys())
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=('Test the effect of various combinations of '
'parameters to run several R in parallel using '
'Python multiprocessing.'))
parser.add_argument('--worker',
required=True,
choices=('fork', 'spawn'),
default='spawn',
help=('Type of worker process. You probably want '
'"spwan"'))
parser.add_argument('--nproc',
default=3,
type=int,
help='Number or processes.')
parser.add_argument('--ntask',
default=2,
type=int,
help='Number of (imaginary) tasks to process.')
parser.add_argument('--maxtasksperchild',
default=1,
type=int,
help=('Maximum number of tasks per child process. '))
args = parser.parse_args()
print_setup(args)
t0 = time.time()
pool = (mp.get_context(args.worker)
.Pool(processes=args.nproc,
initializer=initializer,
maxtasksperchild=args.maxtasksperchild))
t1 = time.time()
worker_ids = tuple(str(uuid.uuid4()) for _ in range(args.ntask))
res = pool.map(tag_r, worker_ids)
t2 = time.time()
print('{0:.5f} seconds in total'.format(t2-t1))
print('{0:.5f} seconds per task'.format((t2-t1)/args.ntask))
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