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Multi Use Functional Pipeline

See original GitHub issue

Is it possible to create a “functional pipeline” object that can can be applied to multiple sequences?


fp = pipeline \
    .map(lambda a: 5 * a) \
    .filter(lambda a: a > 20)

values_1 = fp(seq((1,2,3)))

values_2 = fp(seq((3,5,7,9)))

I think that this could help save a lot of overhead if this is run in a loop.

Issue Analytics

  • State:closed
  • Created 6 years ago
  • Comments:6 (3 by maintainers)

github_iconTop GitHub Comments

EntilZhacommented, Jun 20, 2017

Its probably useful to note that implementing this is probably overkill when the following would work just as well:

def fp(in)
    return seq(in).map(lambda a: 5 * a).filter(lambda a: a > 20)

# or
fp = lambda in: seq(in).map(lambda a: 5 * a).filter(lambda a: a > 20)

I haven’t seen a case where the computational load is on a loop calling a sequence, the load is usually with working on the sequence itself.

EntilZhacommented, Sep 14, 2018

Closing due to inactivity.

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