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Hot function generators

Project Description

library with some helper functions that make more functions for you.

check it out

make a plucker with pluck:

from fnny import pluck as p
from collections import namedtuple
G = namedtuple("G", ["a"])
guys = [G(i) for i in range(10)]
expected = sum(map(lambda x: x.a, guys))
actual = sum(map(p.a, guys))
assert expected == actual

call a method with method:

from fnny import method as m
from test.test_it import _Argless()
no_args = [_Argless() for a in range(10)]
expected = list(map(lambda x: x.wow(), no_args))
actual = list(map(m.wow, no_args))
assert expected == actual

use a partially applied method with partial:

from fnny import partial as pa
from test.test_it import _OneArg()
has_args = [_OneArg() for a in range(10)]
expected = list(map(lambda x: x.add(1), has_args))
actual = list(map(pa.add(1), has_args))
assert expected == actual

partial even supports kwargs:

from test.test_it import _OneKwarg()
has_args = [_OneKwarg() for a in range(10)]
expected = list(map(lambda x: x.derp(something="heyy"), has_args))
actual = list(map(pa.derp(something="heyy"), has_args))
assert expected == actual

but actually, python already has a way more idiomatic way to do all of the above:

guys = [G(i) for i in range(10)]
assert sum(map(lambda x: x.a, guys)) == sum(g.a for g in guys)

no_args = [_Argless() for a in range(10)]
expected = list(map(lambda x: x.wow(), no_args))
actual = [argless.wow() for argless in no_args]
assert expected == actual

has_args = [_OneArg() for a in range(10)]
expected = list(map(lambda x: x.add(1), has_args))
actual = [one.add(1) for one in has_args]
assert expected == actual

has_kwargs = [_OneKwarg() for a in range(10)]
expected = list(map(lambda x: x.derp(something="heyy"), has_kwargs))
actual = [kw.derp(something="heyy") for kw in has_kwargs]
assert expected == actual

But maybe there’s still a place for a discriptor-based lib for function generation.

I’ll add examples as soon as I think of them, I guess.

Release History

Release History

This version
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0.0.2

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0.0.1

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