Generator function performance
oren-py-l at hishome.net
Mon Dec 17 15:02:34 CET 2001
At first, I thought of generator function mostly in terms of convenience:
the resulting source is shorter and more readable compared to other
implementations. Then I found an unexpected benefit: generators are
also very efficient.
A function call in Python is quite expensive. Suspending and restoring
the state of a generator is relatively cheap in comparison. A dataflow
process consisting of a chain of generators each reading its upstream
generator is very fast, especially if each generator function only uses
builtins and functions from binary modules.
Writing such dataflows is very convenient because you only have to focus on
one stage at a time. Each stage may read data from its upstream iterator
more or less often than once for each result it yields and there is no need
for intermediate rate matching buffers.
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