[Python-checkins] bpo-34748: link to :ref:`partial-objects` in functools.partial doc. (GH-9809)

[Xiang Zhang]

https://github.com/python/cpython/commit/83a07652e0033f0d9994ae7634b91d6581c56b00
commit: 83a07652e0033f0d9994ae7634b91d6581c56b00
branch: master
author: Andrei Petre <p31andrei at gmail.com>
committer: Xiang Zhang <angwerzx at 126.com>
date: 2018-10-23T14:11:20+08:00
summary:

bpo-34748: link to :ref:`partial-objects` in functools.partial doc. (GH-9809)

files:
M Doc/library/functools.rst

diff --git a/Doc/library/functools.rst b/Doc/library/functools.rst
index ec3d5a529e65..40abdc24883c 100644
--- a/Doc/library/functools.rst
+++ b/Doc/library/functools.rst
@@ -205,10 +205,11 @@ The :mod:`functools` module defines the following functions:
 
 .. function:: partial(func, *args, **keywords)
 
-   Return a new :class:`partial` object which when called will behave like *func*
-   called with the positional arguments *args* and keyword arguments *keywords*. If
-   more arguments are supplied to the call, they are appended to *args*. If
-   additional keyword arguments are supplied, they extend and override *keywords*.
+   Return a new :ref:`partial object<partial-objects>` which when called
+   will behave like *func* called with the positional arguments *args*
+   and keyword arguments *keywords*. If more arguments are supplied to the
+   call, they are appended to *args*. If additional keyword arguments are
+   supplied, they extend and override *keywords*.
    Roughly equivalent to::
 
       def partial(func, *args, **keywords):
@@ -246,7 +247,7 @@ The :mod:`functools` module defines the following functions:
    :func:`classmethod`, :func:`staticmethod`, :func:`abstractmethod` or
    another instance of :class:`partialmethod`), calls to ``__get__`` are
    delegated to the underlying descriptor, and an appropriate
-   :class:`partial` object returned as the result.
+   :ref:`partial object<partial-objects>` returned as the result.
 
    When *func* is a non-descriptor callable, an appropriate bound method is
    created dynamically. This behaves like a normal Python function when