Skip to main content

A library to inject common functional programming operations as methods into iterable objects.

Project description

A library to inject common functional programming operations as methods into iterable objects. Currently, it injects filter, flat_map, foldl, foldr, map, and reduce operations along with sum, count, any, all, max, min, and zip operations.

Getting the library

The library can be installed via pip install funcipy. Similarly, it can be uninstalled via pip uninstall funcipy.

Usage

When you want to inject common functional programming operations as methods into an object Obj, invoke funcipy.funcify function with Obj as the argument. If Obj is iterable, then the function will return an object that

  1. provides the same interface as the input object and
  2. has functional programming operations as methods.

Otherwise, Obj is returned as is.

Here are few example invocations.

from funcipy import funcify
import functools
import itertools
import operator

i = range(5, 15)
print("Map function: " + ' '.join(map(str, i)))
tmp1 = funcify(i)
print("Map function applied to funcified object: " + ' '.join(map(str, tmp1)))
print("Map method: " + ' '.join(tmp1.map(str)))
print("Map and Filter Method chaining: " +
      ' '.join(tmp1.filter(lambda x: x % 2).map(str)))

print("Reduce function: " + str(functools.reduce(operator.add, i, 5)))
print("Reduce method: " + str(tmp1.reduce(operator.add, 5)))
print("Reduce function: " + str(functools.reduce(operator.sub, i)))
print("Foldl method: " + str(tmp1.foldl(operator.sub)))
print("Foldr method: " + str(tmp1.foldr(operator.sub)))
print("Flat-map operation: " + ' '.join(itertools.chain.from_iterable(
    map(str, i))))
print("Flat-map method: " + ' '.join(funcify(i).flat_map(str)))
print("Sum function: " + str(sum(i)))
print("Sum method: " + str(tmp1.sum()))
print("Count function: " + str(sum(1 for _ in filter(lambda x: x > 10, i))))
print("Count method: " + str(tmp1.count(lambda x: x > 10)))
print("Max function: " + str(max(i)))
print("Max method: " + str(tmp1.max()))
print("Min function: " + str(min(i)))
print("Min method: " + str(tmp1.min()))
print("Any function: " + str(any(map(lambda x: x > 10, i))))
print("Any method: " + str(tmp1.map(lambda x: x > 10).any()))
print("All function: " + str(all(map(lambda x: x > 10, i))))
print("All method: " + str(tmp1.map(lambda x: x > 10).all()))
j = range(0, 7)
print("Zip function: " + ' '.join(map(str, zip(i, j))))
print("Zip method: " + ' '.join(tmp1.zip(j).map(str)))

Attribution

Copyright (c) 2017, Venkatesh-Prasad Ranganath

Licensed under BSD 3-clause “New” or “Revised” License (https://choosealicense.com/licenses/bsd-3-clause/)

Authors: Venkatesh-Prasad Ranganath

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for funcipy, version 0.5
Filename, size File type Python version Upload date Hashes
Filename, size funcipy-0.5-py2.py3-none-any.whl (5.9 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page