On Thu, 29 Sep 2016 11:38 am, Tim Chase wrote:
> This seems to discard the data's origin (data1/data2/data3) which is
> how I determine whether to use process_a(), process_b(), or
> process_c() in my original example where N iterators were returned,
> one for each input iterator.
So add another stage to your generator pipeline, one which adds a unique ID
to the output of each generator so you know where it came from.
Hint: the ID doesn't have to be an ID *number*. It can be the process_a,
process_b, process_c ... function itself. Then instead of doing:
for key, (id, stuff) in groupby(merge(data1, data2, data3), keyfunc):
for x in stuff:
if id == 1:
process_a(key, *x)
elif id == 2:
process_b(key, *x)
elif ...
or even:
DISPATCH = {1: process_a, 2: process_b, ...}
for key, (id, stuff) in groupby(merge(data1, data2, data3), keyfunc):
for x in stuff:
DISPATCH[id](key, *x)
you can do:
for key, (process, stuff) in groupby(merge(data1, data2, data3), keyfunc):
for x in stuff:
process(key, *x)
--
Steve
“Cheer up,” they said, “things could be worse.” So I cheered up, and sure
enough, things got worse.
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