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[3.13] Itertools recipes: Replace the tabulate() example with running_mean() (gh-144483) (gh-144722)

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Stan Ulbrych 2026-02-12 06:24:00 +00:00 • committed by GitHub
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Doc/library/itertools.rst
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@ -842,7 +842,7 @@ and :term:`generators <generator>` which incur interpreter overhead.
from contextlib import suppress
from functools import reduce
from math import comb, prod, sumprod, isqrt
from operator import itemgetter, getitem, mul, neg
from operator import itemgetter, getitem, mul, neg, truediv
def take(n, iterable):
"Return first n items of the iterable as a list."
@ -853,9 +853,10 @@ and :term:`generators <generator>` which incur interpreter overhead.
# prepend(1, [2, 3, 4]) → 1 2 3 4
return chain([value], iterable)
def tabulate(function, start=0):
"Return function(0), function(1), ..."
return map(function, count(start))
def running_mean(iterable):
"Yield the average of all values seen so far."
# running_mean([8.5, 9.5, 7.5, 6.5]) -> 8.5 9.0 8.5 8.0
return map(truediv, accumulate(iterable), count(1))
def repeatfunc(function, times=None, *args):
"Repeat calls to a function with specified arguments."
@ -1210,8 +1211,8 @@ The following recipes have a more mathematical flavor:
[(0, 'a'), (1, 'b'), (2, 'c')]
>>> list(islice(tabulate(lambda x: 2*x), 4))
[0, 2, 4, 6]
>>> list(running_mean([8.5, 9.5, 7.5, 6.5]))
[8.5, 9.0, 8.5, 8.0]
>>> for _ in loops(5):
@ -1748,6 +1749,10 @@ The following recipes have a more mathematical flavor:
# Old recipes and their tests which are guaranteed to continue to work.
def tabulate(function, start=0):
"Return function(0), function(1), ..."
return map(function, count(start))
def old_sumprod_recipe(vec1, vec2):
"Compute a sum of products."
return sum(starmap(operator.mul, zip(vec1, vec2, strict=True)))
@ -1827,6 +1832,10 @@ The following recipes have a more mathematical flavor:
.. doctest::
:hide:
>>> list(islice(tabulate(lambda x: 2*x), 4))
[0, 2, 4, 6]
>>> dotproduct([1,2,3], [4,5,6])
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