Issue #12708: Add starmap() and starmap_async() methods (similar to itertools.starmap()) to multiprocessing.Pool.
Patch by Hynek Schlawack.
diff --git a/Doc/library/multiprocessing.rst b/Doc/library/multiprocessing.rst
index 851b3cf..39ff0a6 100644
--- a/Doc/library/multiprocessing.rst
+++ b/Doc/library/multiprocessing.rst
@@ -1669,6 +1669,24 @@
returned iterator should be considered arbitrary. (Only when there is
only one worker process is the order guaranteed to be "correct".)
+ .. method:: starmap(func, iterable[, chunksize])
+
+ Like :meth:`map` except that the elements of the `iterable` are expected
+ to be iterables that are unpacked as arguments.
+
+ Hence an `iterable` of `[(1,2), (3, 4)]` results in `[func(1,2),
+ func(3,4)]`.
+
+ .. versionadded:: 3.3
+
+ .. method:: starmap_async(func, iterable[, chunksize[, callback[, error_back]]])
+
+ A combination of :meth:`starmap` and :meth:`map_async` that iterates over
+ `iterable` of iterables and calls `func` with the iterables unpacked.
+ Returns a result object.
+
+ .. versionadded:: 3.3
+
.. method:: close()
Prevents any more tasks from being submitted to the pool. Once all the