New submission from Марк Коренберг <[email protected]>:
I want a new function introduced in intertools. Something like this, but more
optimal, and in C:
=======================
from itertools import chain, islice
from typing import Iterable, TypeVar
T = TypeVar('T') # pylint: disable=invalid-name
def batches(items: Iterable[T], num: int) -> Iterable[Iterable[T]]:
items = iter(items)
while True:
try:
first_item = next(items)
except StopIteration:
break
yield chain((first_item,), islice(items, 0, num - 1))
=======================
Splits big arrays to iterable chunks of fixed size (except the last one).
Similar to `group_by`, but spawns new iterable group based on the group size.
For example, when passing many record to a database, passing one by one is
obviously too slow. Passing all the records at once may increase latency. So, a
good solution is to pass, say, 1000 records in one transaction. The smae in
REST API batches.
P.S. Yes, I saw solution
https://docs.python.org/3/library/itertools.html#itertools-recipes `def
grouper`, but it is not optimal for big `n` values.
----------
components: Library (Lib)
messages: 413061
nosy: socketpair
priority: normal
severity: normal
status: open
title: Feature: iptertools: add batches
type: enhancement
versions: Python 3.11
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Python tracker <[email protected]>
<https://bugs.python.org/issue46718>
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