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Python wrapper for functional programming in object oriented structures.
Inspired heavily by Ramda.
https://connor-makowski.github.io/pamda/pamda/pamda.html
curry
arbitrary methods and functionsthunkify
arbitrary methods and functionspipe
data iteratively through n functionsMake sure you have Python 3.9.x (or higher) installed on your system. You can download it here.
pip install pamda
from pamda import pamda
data={'a':{'b':1, 'c':2}}
# Example: Select data given a path and a dictionary
pamda.path(['a','b'])(data) #=> 1
# See documentation for all core pamda functions at
# https://connor-makowski.github.io/pamda/pamda.html
from pamda import pamda
# Define a function that you want to curry
def myFunction(a,b,c):
return [a,b,c]
# You can call pamda.curry as a function to curry your functions
curriedMyFn=pamda.curry(myFunction)
# Inputs can now be passed in an async fashion
# The function is evaluated when all inputs are added
x=curriedMyFn(1,2)
x(3) #=> [1,2,3]
x(4) #=> [1,2,4]
# Each set of inputs returns a callable function
# You can stack inputs on a single line for clean functional programming
curriedMyFn(1,2)(3) #=> [1,2,3]
For enforcing types, pamda relies on type_enforced but curried objects do not play nice with type_enforced
objects. To fix this, there is a special curry function, curryType
, that enables type_enforced annotations for your curried functions:
>>> from pamda import pamda
>>>
>>> # Pamda CurryTyped
>>> @pamda.curryTyped
... def add(a:int,b:int):
... return a+b
...
>>> add(1)(1)
2
>>> add(1)(1.5)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/conmak/development/personal/pamda/pamda/pamda_curry.py", line 43, in __call__
results = self.__fnExecute__(*new_args, **new_kwargs)
File "/home/conmak/development/personal/pamda/venv/lib/python3.10/site-packages/type_enforced/enforcer.py", line 90, in __call__
self.__check_type__(assigned_vars.get(key), value, key)
File "/home/conmak/development/personal/pamda/venv/lib/python3.10/site-packages/type_enforced/enforcer.py", line 112, in __check_type__
self.__exception__(
File "/home/conmak/development/personal/pamda/venv/lib/python3.10/site-packages/type_enforced/enforcer.py", line 34, in __exception__
raise TypeError(f"({self.__fn__.__qualname__}): {message}")
TypeError: (add): Type mismatch for typed variable `b`. Expected one of the following `[<class 'int'>]` but got `<class 'float'>` instead.
from pamda import pamda
# Define a function that you want to thunkify
# thunkify can be called as a function or decorator
@pamda.thunkify
def myFunction(a,b,c):
return [a,b,c]
# The function is now curried and the evaluation is lazy
# This means the function is not evaluated until called
x=myFunction(1,2)
x(3) #=> <pamda.curry_obj object at 0x7fd514e4c820>
x(3)() #=> [1,2,3]
y=x(4)
y() #=> [1,2,4]
Thunkified functions can be executed asynchronously.
from pamda import pamda
import time
@pamda.thunkify
def test(name, wait):
print(f'{name} start')
time.sleep(wait)
print(f'{name} end')
return wait
async_test_a = pamda.asyncRun(test('a',2))
async_test_b = pamda.asyncRun(test('b',1))
async_test_a.asyncWait()
async_test_c = pamda.asyncRun(test('c',1))
The above code would output:
a start
b start
b end
a end
c start
c end
from pamda import pamda
def square(x):
return x**2
def half(x):
return x/2
def negate(x):
return -x
# You can pipe data through multiple functions for clean functional programming
pamda.pipe([square, half, negate])(args=(6,),kwargs={}) #=> -18
from pamda import pamda
class myClass(pamda):
def myFunction(self, a):
return self.inc(a)
mc=myClass()
mc.myFunction(2) #=> 3
@mc.curry
def addUp(a,b):
return a+b
addUp(1)(2) #=> 3
FAQs
Functional programming for python
We found that pamda demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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