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authorMiss Islington (bot) <31488909+miss-islington@users.noreply.github.com>2019-12-03 23:37:40 (GMT)
committerGitHub <noreply@github.com>2019-12-03 23:37:40 (GMT)
commitbaf07395eaa77e515ddfa1d3f42785d50b4d2889 (patch)
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parent8859fc629474ab1ca7eb2e67aec538097c327e58 (diff)
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bpo-27873: Update docstring for multiprocessing.Pool.map (GH-17436)
Update docstring for `multiprocessing.Pool.map` to mention `pool.starmap()`. Prev PR: https://github.com/python/cpython/pull/17367 @aeros https://bugs.python.org/issue27873 (cherry picked from commit eb48a451e3844185b9a8751c9badffbddc89689d) Co-authored-by: An Long <aisk@users.noreply.github.com>
Diffstat (limited to 'Doc/library')
-rw-r--r--Doc/library/multiprocessing.rst3
1 files changed, 2 insertions, 1 deletions
diff --git a/Doc/library/multiprocessing.rst b/Doc/library/multiprocessing.rst
index d8182fe..3c7b5cc 100644
--- a/Doc/library/multiprocessing.rst
+++ b/Doc/library/multiprocessing.rst
@@ -2169,7 +2169,8 @@ with the :class:`Pool` class.
.. method:: map(func, iterable[, chunksize])
A parallel equivalent of the :func:`map` built-in function (it supports only
- one *iterable* argument though). It blocks until the result is ready.
+ one *iterable* argument though, for multiple iterables see :meth:`starmap`).
+ It blocks until the result is ready.
This method chops the iterable into a number of chunks which it submits to
the process pool as separate tasks. The (approximate) size of these