A fancy functional tools.
Project description
A collection of fancy functional tools. Manipulate your functions and data with ease.
Inspired by my own abstractions and clojure standard library.
Installation
pip install funcy
Overview
Just import stuff from funcy to make things happen:
from funcy import * # or whatever you need
Merge collections of same type (works for dicts, sets, lists, tuples, iterators and even strings):
merge(coll1, coll2, coll3, ...) join(colls)
Walk through collection, creating it’s transform (like map but preserves type):
walk(str.upper, {'a', 'b'}) # {'A', 'B'}
walk(reversed, {'a': 1, 'b': 2}) # {1: 'a', 2: 'b'}
walk_keys(double, {'a': 1, 'b': 2}) # {'aa': 1, 'bb': 2}
walk_values(inc, {'a': 1, 'b': 2}) # {'a': 2, 'b': 3}
Select a part of collection:
select(even, {1,2,3,10,20}) # {2,10,20}
select_keys(callable, {str: '', None: None}) # {str: ''}
Test collection contents:
all(callable, [abs, open, int]) # True all(even, [1, 2, 5]) # False any(even, [1, 2, 5]) # True none(even, [1, 2, 5]) # False
Or search for something:
some(even, [1, 2, 5]) # 2 some([0, '', -1, None, 2]) # -1
More tools for mappings:
flip({'a': 1, 'b': 2}) # {1: 'a', 2: 'b'}
project({'a': 1, 'b': 2, 'c': 3}, ['a', 'c']) # {'a': 1, 'c': 3}
Manipulate functions:
partial(add, 1) # inc compose(inc, double)(10) # 21 complement(even) # odd iffy(callable, caller())(val) # val() if callable(val) else val
Easy decorators:
@decorator
def log(call):
print call.func.__name__, call.args
return call()
Work with sequences:
take(4, iterate(double, 1)) # [1, 2, 4, 8]
first(drop(3, count(10))) # 13
remove(even, [1, 2, 3]) # [1, 3]
concat([1, 2], [5, 6]) # [1, 2, 5, 6]
cat(map(range, range(4))) # [0, 0, 1, 0, 1, 2]
mapcat(range, range(4))) # same
distinct('abacbdd') # list('abcd')
split(2, range(5)) # [[0, 1], [2, 3, 4]]
split(odd, range(5)) # [[1, 3], [0, 2, 4]]
groupby(mod2, range(5)) # {0: [0, 2, 4], 1: [1, 3]}
partition(2, range(5)) # [[0, 1], [2, 3]]
chunks(2, range(5)) # [[0, 1], [2, 3], [4]]
partition(2, 1, range(4)) # [[0, 1], [1, 2], [2, 3]]
chunks(2, 1, range(4)) # [[0, 1], [1, 2], [2, 3], [3]]
And many more, see tests and source.
How you can help
Bring your ideas and/or code that can make functional python more fun.
TODO
create cheatsheet html
write docs
vector chained boolean test (like perl 6 [<])
lazy, lazy_seq, lazy_dict
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