def make_science_image(self, rstate=None):
if rstate is not None:
np.random.seed(rstate)
science_image = np.zeros(self.image_shape_pix)
if self.parallel:
pool = ThreadPool(8)
coadds = list(
tqdm(pool.imap(self._science_image_loop, range(self.ncoadds)),
total=self.ncoadds))
return np.array(coadds).sum(axis=0)
else:
coadds = np.array(
list(map(self._science_image_loop, trange(self.ncoadds))))
return science_image + coadds.sum(axis=0)
from pathos.threading import ThreadPool
import time
pool = ThreadPool(nodes=4)
# do a blocking map on the chosen function
print(pool.map(pow, [1,2,3,4], [5,6,7,8]))
# do a non-blocking map, then extract the results from the iterator
results = pool.imap(pow, [1,2,3,4], [5,6,7,8])
print("...")
print(list(results))
# do an asynchronous map, then get the results
results = pool.amap(pow, [1,2,3,4], [5,6,7,8])
while not results.ready():
time.sleep(5)
print(".")
print(results.get())
# do one item at a time, using a pipe
print(pool.pipe(pow, 1, 5))
print(pool.pipe(pow, 2, 6))
# do one item at a time, using an asynchronous pipe
result1 = pool.apipe(pow, 1, 5)
result2 = pool.apipe(pow, 2, 6)
