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[3.12] gh-101100: Fix Sphinx warnings in tutorial/controlflow.rst (GH-109424) #110084

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Sep 29, 2023
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[3.12] gh-101100: Fix Sphinx warnings in tutorial/controlflow.rst (GH-109424) #110084

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1 change: 0 additions & 1 deletion Doc/tools/.nitignore
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Expand Up @@ -164,7 +164,6 @@ Doc/reference/datamodel.rst
Doc/reference/expressions.rst
Doc/reference/import.rst
Doc/reference/simple_stmts.rst
Doc/tutorial/controlflow.rst
Doc/tutorial/datastructures.rst
Doc/tutorial/introduction.rst
Doc/using/cmdline.rst
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4 changes: 2 additions & 2 deletions Doc/tutorial/controlflow.rst
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Expand Up @@ -534,7 +534,7 @@ This example, as usual, demonstrates some new Python features:
Different types define different methods. Methods of different types may have
the same name without causing ambiguity. (It is possible to define your own
object types and methods, using *classes*, see :ref:`tut-classes`)
The method :meth:`~list.append` shown in the example is defined for list objects; it
The method :meth:`!append` shown in the example is defined for list objects; it
adds a new element at the end of the list. In this example it is equivalent to
``result = result + [a]``, but more efficient.

Expand Down Expand Up @@ -1046,7 +1046,7 @@ Function Annotations
information about the types used by user-defined functions (see :pep:`3107` and
:pep:`484` for more information).

:term:`Annotations <function annotation>` are stored in the :attr:`__annotations__`
:term:`Annotations <function annotation>` are stored in the :attr:`!__annotations__`
attribute of the function as a dictionary and have no effect on any other part of the
function. Parameter annotations are defined by a colon after the parameter name, followed
by an expression evaluating to the value of the annotation. Return annotations are
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