pipeit 0.2.3

Syntax suger for python's functional programming as Unix pipes.

pipeit

This is a super simple wrapper , let's use python functional programming like Unix pipe!

Inspired by abersheeran/only-pipe , czheo/syntax_sugar_python , pipetools

Install

pip install pipeit

Usage

• Statements start with PIPE and end with END OR you can even ellipsis them.
• There're only two objects(PIPE & END) and three types(Filter ,Map & Reduce) in namespace, so feel free to use from pipeit import *.
• Convert filter into tuple or capital the first letter, e.g. map(lambda x:x + 1) => (map , lambda x:x + 1) or Map(lambda x:x + 1) , however DO NOT MIX USE THEM.
• It'll be 10% ~ 20% faster using the original python functional way than using these wrappers.

Example

>>> from pipit import PIPE , END , Map , Filter , Reduce

>>> data = PIPE | range(10) | (map , lambda x:x + 1) | (map , str) | list | END
>>> data
['1', '2', '3', '4', '5', '6', '7', '8', '9', '10']

# (map , lambda x:x + 1) equals to Map(lambda x:x + 1)
>>> func = lambda x: PIPE | range(x) | Map(lambda x:x + 1) | Map(str) | list | END
>>> func(10)
['1', '2', '3', '4', '5', '6', '7', '8', '9', '10']

Or you may want a more easy use.

>>> range(10) | Filter(lambda x:x<5) | list
[0, 1, 2, 3, 4]

>>> for _ in range(3) | Map(str):
        print(repr(_))


'0'
'1'
'2'

Code timer updated in version 2.0, you can easily detect the execution time of code blocks or statements.

from pipeit import *
from functools import reduce

foo = list(range(100))
for _ in timeit(1e6): # which means loop for 1m times
    bar = foo | Filter(lambda x: x%3) | Map(lambda x: 10*x) | Reduce(lambda x, y: x+y) | int

with timeit(): # a handwritten for loop is required under context manager mode
    for _ in range(int(1e6)):
        bar = reduce(lambda x, y: x+y, map(lambda x: 10*x, filter(lambda x: x%3, foo)))

# output: 
# [line 5][approximate] time cost / loop: 9.8967234μs
# [line 8][exact] time cost: 7.0519098s