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-rw-r--r--Doc/glossary.rst9
-rw-r--r--Doc/howto/pyporting.rst5
-rw-r--r--Doc/library/datetime.rst3
-rw-r--r--Doc/library/typing.rst4
4 files changed, 14 insertions, 7 deletions
diff --git a/Doc/glossary.rst b/Doc/glossary.rst
index 2d5412d..dad7453 100644
--- a/Doc/glossary.rst
+++ b/Doc/glossary.rst
@@ -1138,6 +1138,11 @@ Glossary
an :term:`expression` or one of several constructs with a keyword, such
as :keyword:`if`, :keyword:`while` or :keyword:`for`.
+ static type checker
+ An external tool that reads Python code and analyzes it, looking for
+ issues such as incorrect types. See also :term:`type hints <type hint>`
+ and the :mod:`typing` module.
+
strong reference
In Python's C API, a strong reference is a reference to an object
which is owned by the code holding the reference. The strong
@@ -1214,8 +1219,8 @@ Glossary
attribute, or a function parameter or return value.
Type hints are optional and are not enforced by Python but
- they are useful to static type analysis tools, and aid IDEs with code
- completion and refactoring.
+ they are useful to :term:`static type checkers <static type checker>`.
+ They can also aid IDEs with code completion and refactoring.
Type hints of global variables, class attributes, and functions,
but not local variables, can be accessed using
diff --git a/Doc/howto/pyporting.rst b/Doc/howto/pyporting.rst
index 6c30a0d..501b16d 100644
--- a/Doc/howto/pyporting.rst
+++ b/Doc/howto/pyporting.rst
@@ -39,7 +39,8 @@ are:
#. Once your dependencies are no longer blocking you, use continuous integration
to make sure you stay compatible with Python 2 and 3 (tox_ can help test
against multiple versions of Python; ``python -m pip install tox``)
-#. Consider using optional static type checking to make sure your type usage
+#. Consider using optional :term:`static type checking <static type checker>`
+ to make sure your type usage
works in both Python 2 and 3 (e.g. use mypy_ to check your typing under both
Python 2 and Python 3; ``python -m pip install mypy``).
@@ -395,7 +396,7 @@ comparisons occur, making the mistake much easier to track down.
Consider using optional static type checking
--------------------------------------------
-Another way to help port your code is to use a static type checker like
+Another way to help port your code is to use a :term:`static type checker` like
mypy_ or pytype_ on your code. These tools can be used to analyze your code as
if it's being run under Python 2, then you can run the tool a second time as if
your code is running under Python 3. By running a static type checker twice like
diff --git a/Doc/library/datetime.rst b/Doc/library/datetime.rst
index 0b9d42f..1bab1fb 100644
--- a/Doc/library/datetime.rst
+++ b/Doc/library/datetime.rst
@@ -38,7 +38,8 @@ on efficient attribute extraction for output formatting and manipulation.
Third-party library with expanded time zone and parsing support.
Package `DateType <https://pypi.org/project/datetype/>`_
- Third-party library that introduces distinct static types to e.g. allow static type checkers
+ Third-party library that introduces distinct static types to e.g. allow
+ :term:`static type checkers <static type checker>`
to differentiate between naive and aware datetimes.
.. _datetime-naive-aware:
diff --git a/Doc/library/typing.rst b/Doc/library/typing.rst
index a4767d2..ba2845e 100644
--- a/Doc/library/typing.rst
+++ b/Doc/library/typing.rst
@@ -18,8 +18,8 @@
.. note::
The Python runtime does not enforce function and variable type annotations.
- They can be used by third party tools such as type checkers, IDEs, linters,
- etc.
+ They can be used by third party tools such as :term:`type checkers <static type checker>`,
+ IDEs, linters, etc.
--------------