# Immediate evaluation example
import time
start = time.time()
results = pool.map(busybeaver, range(10))
print 'Time to queue the jobs:', time.time() - start
start = time.time()
# Casting the ppmap generator to a list forces each result to be
# evaluated. When done immediately after the jobs are submitted,
# our program twiddles its thumbs while the work is finished.
print list(results)
print 'Time to get the results:', time.time() - start
# Delayed evaluation example
start = time.time()
results = pool.imap(busybeaver, range(10))
print 'Time to queue the jobs:', time.time() - start
# In contrast with the above example, this time we're submitting a
# batch of jobs then going off to do more work while they're
# processing. Maybe "time.sleep" isn't the most exciting example,
# but it illustrates the point that our main program can do work
# before ppmap() is finished. Imagine that you're submitting some
# heavyweight image processing jobs at the beginning of your
# program, going on to do other stuff like fetching more work to
# do from a remote server, then coming back later to handle the
# results.
time.sleep(5)
start = time.time()
print list(results)
print 'Time to get the first results:', time.time() - start
# Immediate evaluation example
import time
start = time.time()
results = pool.map(busybeaver, range(10))
print 'Time to queue the jobs:', time.time() - start
start = time.time()
# Casting the ppmap generator to a list forces each result to be
# evaluated. When done immediately after the jobs are submitted,
# our program twiddles its thumbs while the work is finished.
print list(results)
print 'Time to get the results:', time.time() - start
# Delayed evaluation example
start = time.time()
results = pool.imap(busybeaver, range(10))
print 'Time to queue the jobs:', time.time() - start
# In contrast with the above example, this time we're submitting a
# batch of jobs then going off to do more work while they're
# processing. Maybe "time.sleep" isn't the most exciting example,
# but it illustrates the point that our main program can do work
# before ppmap() is finished. Imagine that you're submitting some
# heavyweight image processing jobs at the beginning of your
# program, going on to do other stuff like fetching more work to
# do from a remote server, then coming back later to handle the
# results.
time.sleep(5)
start = time.time()
print list(results)
print 'Time to get the first results:', time.time() - start
