Python in Practice: Create Better Programs Using Concurrency, Libraries, and Patterns by Summerfield Mark

Author:Summerfield, Mark [Summerfield, Mark]
Language: eng
Format: epub
Publisher: Pearson Education
Published: 2013-08-20T00:00:00+00:00

* * *

def get_jobs(source, target):

for name in os.listdir(source):

yield os.path.join(source, name), os.path.join(target, name)

* * *

This function performs the same service as the previous subsection’s add_jobs() function, only instead of adding jobs to a queue, it is a generator function that yields jobs on demand.

Click here to view code image

* * *

def wait_for(futures):

canceled = False

copied = scaled = 0

try:

for future in concurrent.futures.as_completed(futures):

err = future.exception()

if err is None:

result = future.result()

copied += result.copied

scaled += result.scaled

Qtrac.report("{} {}".format("copied" if result.copied else

"scaled", os.path.basename(result.name)))

elif isinstance(err, Image.Error):

Qtrac.report(str(err), True)

else:

raise err # Unanticipated

except KeyboardInterrupt:

Qtrac.report("canceling...")

canceled = True

for future in futures:

future.cancel()

return Summary(len(futures), copied, scaled, canceled)

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