Extending Python Doc minor updates (GH-4518)

Move footnote markers to be closer to the related terminology:
before the end of the sentence, instead of after.
This commit is contained in:
Emanuele Gaifas 2017-11-24 09:49:57 +01:00 committed by Mariatta
parent 3df02dbc8e
commit cdfe910e74
2 changed files with 4 additions and 4 deletions

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@ -40,7 +40,7 @@ A Simple Example
Let's create an extension module called ``spam`` (the favorite food of Monty
Python fans...) and let's say we want to create a Python interface to the C
library function :c:func:`system`. [#]_ This function takes a null-terminated
library function :c:func:`system` [#]_. This function takes a null-terminated
character string as argument and returns an integer. We want this function to
be callable from Python as follows::
@ -917,7 +917,7 @@ It is also possible to :dfn:`borrow` [#]_ a reference to an object. The
borrower of a reference should not call :c:func:`Py_DECREF`. The borrower must
not hold on to the object longer than the owner from which it was borrowed.
Using a borrowed reference after the owner has disposed of it risks using freed
memory and should be avoided completely. [#]_
memory and should be avoided completely [#]_.
The advantage of borrowing over owning a reference is that you don't need to
take care of disposing of the reference on all possible paths through the code
@ -1088,7 +1088,7 @@ checking.
The C function calling mechanism guarantees that the argument list passed to C
functions (``args`` in the examples) is never *NULL* --- in fact it guarantees
that it is always a tuple. [#]_
that it is always a tuple [#]_.
It is a severe error to ever let a *NULL* pointer "escape" to the Python user.

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@ -659,7 +659,7 @@ Fortunately, Python's cyclic-garbage collector will eventually figure out that
the list is garbage and free it.
In the second version of the :class:`Noddy` example, we allowed any kind of
object to be stored in the :attr:`first` or :attr:`last` attributes. [#]_ This
object to be stored in the :attr:`first` or :attr:`last` attributes [#]_. This
means that :class:`Noddy` objects can participate in cycles::
>>> import noddy2