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Python generators cool stuff
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from itertools import * | |
from operator import * | |
def fibogen(): | |
a,b = 1,1 | |
yield a | |
yield b | |
while True: | |
res = a+b | |
a, b = b, res | |
yield res | |
#Haskell take 5 [1..] -> [1,2,3,4,5] | |
def take(n, gen, consume = False): | |
if not consume: | |
_, it = tee(gen) | |
else: | |
it = gen | |
for _ in range(n): | |
yield next(it) | |
def myZip(*args): | |
iterators = map(iter, args) | |
while True: | |
try: | |
yield tuple(x.next() for x in iterators) | |
except: | |
break | |
# def zipWith(f, *args): | |
# yield from map(f, *args) | |
# Python 2 example | |
def zipWith(f, *args): | |
return (f(*x) for x in myZip(*args)) | |
if __name__ == "__main__": | |
fibonnacci = fibogen() | |
print("Coger 10 elementos de un generador de fibonacci y consumirlos (10)") | |
print(list(take(10, fibonnacci, consume=True))) | |
print("Sumar por pares de la secuencia de fibonacci hasta que estos sean mayores de 10000") | |
print(list(takewhile(lambda x: x < 10000, zipWith(add, *tee(fibogen()))))) |
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