from itertools import islice
from random import randint
def random_chunk(li, min_chunk=1, max_chunk=3):
it = iter(li)
while True:
nxt = list(islice(it,randint(min_chunk,max_chunk)))
if nxt:
yield nxt
else:
break
demo:
li = [5000, 5000, 5000, 5000, 5000, 5000]
list(random_chunk(li))
Out[45]: [[5000, 5000, 5000], [5000], [5000, 5000]]
This results in a (ignoring the last chunk) uniform distribution of chunk sizes between min_chunk
and max_chunk
, inclusively.