Multi Use Functional Pipeline

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

Example:

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.

[EntilZha]

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.

[EntilZha]

Closing due to inactivity.