pelper - python helper functions
Project description
pelper – python helper functions to ease measuring, ignoring, caching, piping, functional helpers, and more for python 2.7, 3.4, and 3.5.
pelper contains useful helper functions, decorators, context managers - all the things that make your python life a tiny bit easier. pelper has no dependencies, has a coverage of 100%, and is well documented.
Examples
Pipe data through unix-like/elixir-like pipes:
>>> from pelper import pipe
>>> pipe("some datat, some data", set, (sorted, {"reverse": True}))
['t', 's', 'o', 'm', 'e', 'd', 'a', ',', ' ']
Pelper offers p-functions, i.e., functions where the first argument is data. There is pmap (like map, but works with pipel):
>>> from pelper import pipe, pmap
>>> pipe(
... range(5),
... (pmap, lambda x: x*x),
... list)
[0, 1, 4, 9, 16]
…and also pfilter:
>>> from pelper import pipe, pfilter
>>> pipe(
... range(5),
... (pfilter, lambda x: x > 2),
... list)
[3, 4]
Take n elements from iterables (useful if you can’t use the square bracket notation, e.g., if you’re using pipe)
>>> from pelper import take
>>> take("hello world", 5)
['h', 'e', 'l', 'l', 'o']
Take the n-th elements from iterables (useful if you can’t use the square bracket notation, e.g., if you’re using pipe)
>>> from pelper import nth
>>> nth(range(5), 2)
2
Flatten arbitrarily nested lists:
>>> from pelper import flatten
>>> flatten([1, [2, 2, [3, 3]]])
[1, 2, 2, 3, 3]
Measure the duration of a function:
>>> from pelper import print_duration
>>> @print_duration()
... def f(n): pass
Measure the duration of a context:
>>> from pelper import print_duration
>>> with print_duration():
... range(4)
Ignore exceptions:
>>> from pelper import ignored
>>> with ignored(OSError):
... raise OSError() # this is ignored
Cache already computed results of functions:
>>> from pelper import cache
>>> @cache
>>> def fib(n):
... return 1 if n < 2 else fib(n-1) + fib(n-2)
>>> f(500) # this would run for quite a wile without the cache decorator
Easier printing and formating:
>>> from pelper import printf
>>> printf("Hello {name}, I'm {something}", name="Alan", something="world")
Hello Alan, I'm world
Installation
pelper is only one file and has no dependencies. You can simply drop pelper.py into your project and use it.
Or install it from pypi by running:
pip install pelper
Or install it from source by running:
pip install .
Development
Use virtualenv for working on pelper. Install the dev requrirements via:
pip install -e requirements-dev.txt
Tests
pelper uses doctest, py.test, and tox for testing.
It also has coverage.
You can run the tests for all supported versions of python and build and test the docs:
tox
Run only the tests for the specified version of python:
tox -e py27,py34,py35
Alternatively just run tests for the current version of python:
py.test
Docs
Build the docs via:
cd docs sphinx html
Project details
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