Revert "remove implicit code tags .replace("::\n\n.. code-block", "\n\n.. code-block")"

This reverts commit 9fce0bdd88.

doc/en/builtin.rst

@@ -162,7 +162,7 @@ For information about fixtures, see :ref:`fixtures`. To see a complete list of a
 
     no tests ran in 0.12 seconds
 
-You can also interactively ask for help, e.g. by typing on the Python interactive prompt something like
+You can also interactively ask for help, e.g. by typing on the Python interactive prompt something like::
 
 .. code-block:: python
 

doc/en/cache.rst

@@ -33,7 +33,7 @@ Other plugins may access the `config.cache`_ object to set/get
 Rerunning only failures or failures first
 -----------------------------------------------
 
-First, let's create 50 test invocation of which only 2 fail
+First, let's create 50 test invocation of which only 2 fail::
 
 .. code-block:: python
 
@@ -186,7 +186,7 @@ The new config.cache object
 Plugins or conftest.py support code can get a cached value using the
 pytest ``config`` object.  Here is a basic example plugin which
 implements a :ref:`fixture` which re-uses previously created state
-across pytest invocations
+across pytest invocations::
 
 .. code-block:: python
 

doc/en/capture.rst

@@ -49,7 +49,7 @@ Using print statements for debugging
 ---------------------------------------------------
 
 One primary benefit of the default capturing of stdout/stderr output
-is that you can use print statements for debugging
+is that you can use print statements for debugging::
 
 .. code-block:: python
 

doc/en/deprecations.rst

@@ -455,7 +455,7 @@ Internal classes accessed through ``Node``
 .. versionremoved:: 4.0
 
 Access of ``Module``, ``Function``, ``Class``, ``Instance``, ``File`` and ``Item`` through ``Node`` instances now issue
-this warning
+this warning::
 
 .. code-block:: text
 

doc/en/doctest.rst

@@ -191,7 +191,7 @@ namespace in which your doctests run. It is intended to be used within
 your own fixtures to provide the tests that use them with context.
 
 ``doctest_namespace`` is a standard ``dict`` object into which you
-place the objects you want to appear in the doctest namespace
+place the objects you want to appear in the doctest namespace::
 
 .. code-block:: python
 
@@ -203,7 +203,7 @@ place the objects you want to appear in the doctest namespace
     def add_np(doctest_namespace):
         doctest_namespace["np"] = numpy
 
-which can then be used in your doctests directly
+which can then be used in your doctests directly::
 
 .. code-block:: python
 
@@ -225,7 +225,7 @@ Skipping tests dynamically
 
 .. versionadded:: 4.4
 
-You can use ``pytest.skip`` to dynamically skip doctests. For example
+You can use ``pytest.skip`` to dynamically skip doctests. For example::
 
 .. code-block:: text
 

doc/en/example/parametrize.rst

@@ -19,7 +19,7 @@ Generating parameters combinations, depending on command line
 
 Let's say we want to execute a test with different computation
 parameters and the parameter range shall be determined by a command
-line argument.  Let's first write a simple (do-nothing) computation test
+line argument.  Let's first write a simple (do-nothing) computation test::
 
 .. code-block:: python
 
@@ -29,7 +29,7 @@ line argument.  Let's first write a simple (do-nothing) computation test
     def test_compute(param1):
         assert param1 < 4
 
-Now we add a test configuration like this
+Now we add a test configuration like this::
 
 .. code-block:: python
 
@@ -89,7 +89,7 @@ Running pytest with ``--collect-only`` will show the generated IDs.
 
 Numbers, strings, booleans and None will have their usual string representation
 used in the test ID. For other objects, pytest will make a string based on
-the argument name
+the argument name::
 
 .. code-block:: python
 
@@ -185,7 +185,7 @@ A quick port of "testscenarios"
 Here is a quick port to run tests configured with `test scenarios`_,
 an add-on from Robert Collins for the standard unittest framework. We
 only have to work a bit to construct the correct arguments for pytest's
-:py:func:`Metafunc.parametrize`
+:py:func:`Metafunc.parametrize`::
 
 .. code-block:: python
 
@@ -263,7 +263,7 @@ The parametrization of test functions happens at collection
 time.  It is a good idea to setup expensive resources like DB
 connections or subprocess only when the actual test is run.
 Here is a simple example how you can achieve that, first
-the actual test requiring a ``db`` object
+the actual test requiring a ``db`` object::
 
 .. code-block:: python
 
@@ -279,7 +279,7 @@ the actual test requiring a ``db`` object
 
 We can now add a test configuration that generates two invocations of
 the ``test_db_initialized`` function and also implements a factory that
-creates a database object for the actual test invocations
+creates a database object for the actual test invocations::
 
 .. code-block:: python
 
@@ -357,7 +357,7 @@ parameter on particular arguments. It can be done by passing list or tuple of
 arguments' names to ``indirect``. In the example below there is a function ``test_indirect`` which uses
 two fixtures: ``x`` and ``y``. Here we give to indirect the list, which contains the name of the
 fixture ``x``. The indirect parameter will be applied to this argument only, and the value ``a``
-will be passed to respective fixture function
+will be passed to respective fixture function::
 
 .. code-block:: python
 
@@ -406,7 +406,7 @@ Parametrizing test methods through per-class configuration
 
 Here is an example ``pytest_generate_tests`` function implementing a
 parametrization scheme similar to Michael Foord's `unittest
-parametrizer`_ but in a lot less code
+parametrizer`_ but in a lot less code::
 
 .. code-block:: python
 
@@ -488,7 +488,7 @@ If you want to compare the outcomes of several implementations of a given
 API, you can write test functions that receive the already imported implementations
 and get skipped in case the implementation is not importable/available.  Let's
 say we have a "base" implementation and the other (possibly optimized ones)
-need to provide similar results
+need to provide similar results::
 
 .. code-block:: python
 
@@ -506,7 +506,7 @@ need to provide similar results
     def optmod(request):
         return pytest.importorskip(request.param)
 
-And then a base implementation of a simple function
+And then a base implementation of a simple function::
 
 .. code-block:: python
 
@@ -514,7 +514,7 @@ And then a base implementation of a simple function
     def func1():
         return 1
 
-And an optimized version
+And an optimized version::
 
 .. code-block:: python
 
@@ -522,7 +522,7 @@ And an optimized version
     def func1():
         return 1.0001
 
-And finally a little test module
+And finally a little test module::
 
 .. code-block:: python
 
@@ -631,7 +631,7 @@ Use :func:`pytest.raises` with the
 in which some tests raise exceptions and others do not.
 
 It is helpful to define a no-op context manager ``does_not_raise`` to serve
-as a complement to ``raises``. For example
+as a complement to ``raises``. For example::
 
 .. code-block:: python
 
@@ -662,19 +662,19 @@ In the example above, the first three test cases should run unexceptionally,
 while the fourth should raise ``ZeroDivisionError``.
 
 If you're only supporting Python 3.7+, you can simply use ``nullcontext``
-to define ``does_not_raise``
+to define ``does_not_raise``::
 
 .. code-block:: python
 
     from contextlib import nullcontext as does_not_raise
 
-Or, if you're supporting Python 3.3+ you can use
+Or, if you're supporting Python 3.3+ you can use::
 
 .. code-block:: python
 
     from contextlib import ExitStack as does_not_raise
 
-Or, if desired, you can ``pip install contextlib2`` and use
+Or, if desired, you can ``pip install contextlib2`` and use::
 
 .. code-block:: python
 

doc/en/example/pythoncollection.rst

@@ -131,7 +131,7 @@ Here is an example:
 
 This would make ``pytest`` look for tests in files that match the ``check_*
 .py`` glob-pattern, ``Check`` prefixes in classes, and functions and methods
-that match ``*_check``. For example, if we have
+that match ``*_check``. For example, if we have::
 
 .. code-block:: python
 
@@ -241,7 +241,7 @@ You can easily instruct ``pytest`` to discover tests from every Python file:
 However, many projects will have a ``setup.py`` which they don't want to be
 imported. Moreover, there may files only importable by a specific python
 version. For such cases you can dynamically define files to be ignored by
-listing them in a ``conftest.py`` file
+listing them in a ``conftest.py`` file::
 
 .. code-block:: python
 
@@ -252,7 +252,7 @@ listing them in a ``conftest.py`` file
     if sys.version_info[0] > 2:
         collect_ignore.append("pkg/module_py2.py")
 
-and then if you have a module file like this
+and then if you have a module file like this::
 
 .. code-block:: python
 
@@ -263,7 +263,7 @@ and then if you have a module file like this
         except Exception, e:
             pass
 
-and a ``setup.py`` dummy file like this
+and a ``setup.py`` dummy file like this::
 
 .. code-block:: python
 
@@ -304,7 +304,7 @@ patterns to ``collect_ignore_glob``.
 
 The following example ``conftest.py`` ignores the file ``setup.py`` and in
 addition all files that end with ``*_py2.py`` when executed with a Python 3
-interpreter
+interpreter::
 
 .. code-block:: python
 

doc/en/example/special.rst

@@ -5,7 +5,7 @@ A session-scoped fixture effectively has access to all
 collected test items.  Here is an example of a fixture
 function which walks all collected tests and looks
 if their test class defines a ``callme`` method and
-calls it
+calls it::
 
 .. code-block:: python
 
@@ -27,7 +27,7 @@ calls it
                 seen.add(cls)
 
 test classes may now define a ``callme`` method which
-will be called ahead of running any tests
+will be called ahead of running any tests::
 
 .. code-block:: python
 

doc/en/existingtestsuite.rst

@@ -15,7 +15,7 @@ Running an existing test suite with pytest
 Say you want to contribute to an existing repository somewhere.
 After pulling the code into your development space using some
 flavor of version control and (optionally) setting up a virtualenv
-you will want to run
+you will want to run::
 
 .. code-block:: bash
 

doc/en/fixture.rst

@@ -49,7 +49,7 @@ argument. For each argument name, a fixture function with that name provides
 the fixture object.  Fixture functions are registered by marking them with
 :py:func:`@pytest.fixture <_pytest.python.fixture>`.  Let's look at a simple
 self-contained test module containing a fixture and a test function
-using it
+using it::
 
 .. code-block:: python
 
@@ -185,7 +185,7 @@ Possible values for ``scope`` are: ``function``, ``class``, ``module``, ``packag
 
 The next example puts the fixture function into a separate ``conftest.py`` file
 so that tests from multiple test modules in the directory can
-access the fixture function
+access the fixture function::
 
 .. code-block:: python
 
@@ -201,7 +201,7 @@ access the fixture function
 The name of the fixture again is ``smtp_connection`` and you can access its
 result by listing the name ``smtp_connection`` as an input parameter in any
 test or fixture function (in or below the directory where ``conftest.py`` is
-located)
+located)::
 
 .. code-block:: python
 
@@ -489,7 +489,7 @@ Fixtures can introspect the requesting test context
 Fixture functions can accept the :py:class:`request <FixtureRequest>` object
 to introspect the "requesting" test function, class or module context.
 Further extending the previous ``smtp_connection`` fixture example, let's
-read an optional server URL from the test module which uses our fixture
+read an optional server URL from the test module which uses our fixture::
 
 .. code-block:: python
 
@@ -518,7 +518,7 @@ again, nothing much has changed:
     2 failed in 0.12 seconds
 
 Let's quickly create another test module that actually sets the
-server URL in its module namespace
+server URL in its module namespace::
 
 .. code-block:: python
 
@@ -558,7 +558,7 @@ of a fixture is needed multiple times in a single test. Instead of returning
 data directly, the fixture instead returns a function which generates the data.
 This function can then be called multiple times in the test.
 
-Factories can have parameters as needed
+Factories can have parameters as needed::
 
 .. code-block:: python
 
@@ -575,7 +575,7 @@ Factories can have parameters as needed
         customer_2 = make_customer_record("Mike")
         customer_3 = make_customer_record("Meredith")
 
-If the data created by the factory requires managing, the fixture can take care of that
+If the data created by the factory requires managing, the fixture can take care of that::
 
 .. code-block:: python
 
@@ -616,7 +616,7 @@ configured in multiple ways.
 Extending the previous example, we can flag the fixture to create two
 ``smtp_connection`` fixture instances which will cause all tests using the fixture
 to run twice.  The fixture function gets access to each parameter
-through the special :py:class:`request <FixtureRequest>` object
+through the special :py:class:`request <FixtureRequest>` object::
 
 .. code-block:: python
 
@@ -710,7 +710,7 @@ Numbers, strings, booleans and None will have their usual string
 representation used in the test ID. For other objects, pytest will
 make a string based on the argument name.  It is possible to customise
 the string used in a test ID for a certain fixture value by using the
-``ids`` keyword argument
+``ids`` keyword argument::
 
 .. code-block:: python
 
@@ -781,7 +781,7 @@ Using marks with parametrized fixtures
 :func:`pytest.param` can be used to apply marks in values sets of parametrized fixtures in the same way
 that they can be used with :ref:`@pytest.mark.parametrize <@pytest.mark.parametrize>`.
 
-Example
+Example::
 
 .. code-block:: python
 
@@ -824,7 +824,7 @@ can use other fixtures themselves.  This contributes to a modular design
 of your fixtures and allows re-use of framework-specific fixtures across
 many projects.  As a simple example, we can extend the previous example
 and instantiate an object ``app`` where we stick the already defined
-``smtp_connection`` resource into it
+``smtp_connection`` resource into it::
 
 .. code-block:: python
 
@@ -891,7 +891,7 @@ this eases testing of applications which create and use global state.
 
 The following example uses two parametrized fixtures, one of which is
 scoped on a per-module basis, and all the functions perform ``print`` calls
-to show the setup/teardown flow
+to show the setup/teardown flow::
 
 .. code-block:: python
 
@@ -999,7 +999,7 @@ current working directory but otherwise do not care for the concrete
 directory.  Here is how you can use the standard `tempfile
 <http://docs.python.org/library/tempfile.html>`_ and pytest fixtures to
 achieve it.  We separate the creation of the fixture into a conftest.py
-file
+file::
 
 .. code-block:: python
 
@@ -1015,7 +1015,7 @@ file
         newpath = tempfile.mkdtemp()
         os.chdir(newpath)
 
-and declare its use in a test module via a ``usefixtures`` marker
+and declare its use in a test module via a ``usefixtures`` marker::
 
 .. code-block:: python
 
@@ -1102,7 +1102,7 @@ without declaring a function argument explicitly or a `usefixtures`_ decorator.
 As a practical example, suppose we have a database fixture which has a
 begin/rollback/commit architecture and we want to automatically surround
 each test method by a transaction and a rollback.  Here is a dummy
-self-contained implementation of this idea
+self-contained implementation of this idea::
 
 .. code-block:: python
 
@@ -1175,7 +1175,7 @@ Here is how autouse fixtures work in other scopes:
 Note that the above ``transact`` fixture may very well be a fixture that
 you want to make available in your project without having it generally
 active.  The canonical way to do that is to put the transact definition
-into a conftest.py file **without** using ``autouse``
+into a conftest.py file **without** using ``autouse``::
 
 .. code-block:: python
 
@@ -1186,7 +1186,7 @@ into a conftest.py file **without** using ``autouse``
         yield
         db.rollback()
 
-and then e.g. have a TestClass using it by declaring the need
+and then e.g. have a TestClass using it by declaring the need::
 
 .. code-block:: python
 

doc/en/funcarg_compare.rst

@@ -21,7 +21,7 @@ funcarg for a test function is required.  If a factory wants to
 re-use a resource across different scopes, it often used
 the ``request.cached_setup()`` helper to manage caching of
 resources.  Here is a basic example how we could implement
-a per-session Database object
+a per-session Database object::
 
 .. code-block:: python
 
@@ -72,7 +72,7 @@ Direct scoping of fixture/funcarg factories
 
 Instead of calling cached_setup() with a cache scope, you can use the
 :ref:`@pytest.fixture <pytest.fixture>` decorator and directly state
-the scope
+the scope::
 
 .. code-block:: python
 
@@ -96,7 +96,7 @@ Previously, funcarg factories could not directly cause parametrization.
 You needed to specify a ``@parametrize`` decorator on your test function
 or implement a ``pytest_generate_tests`` hook to perform
 parametrization, i.e. calling a test multiple times with different value
-sets.  pytest-2.3 introduces a decorator for use on the factory itself
+sets.  pytest-2.3 introduces a decorator for use on the factory itself::
 
 .. code-block:: python
 
@@ -115,7 +115,7 @@ allow to re-use already written factories because effectively
 parametrized via
 :py:func:`~_pytest.python.Metafunc.parametrize(indirect=True)` calls.
 
-Of course it's perfectly fine to combine parametrization and scoping
+Of course it's perfectly fine to combine parametrization and scoping::
 
 .. code-block:: python
 
@@ -138,7 +138,7 @@ No ``pytest_funcarg__`` prefix when using @fixture decorator
 
 When using the ``@fixture`` decorator the name of the function
 denotes the name under which the resource can be accessed as a function
-argument
+argument::
 
 .. code-block:: python
 
@@ -149,7 +149,7 @@ argument
 The name under which the funcarg resource can be requested is ``db``.
 
 You can still use the "old" non-decorator way of specifying funcarg factories
-aka
+aka::
 
 .. code-block:: python
 

doc/en/getting-started.rst

@@ -35,7 +35,7 @@ Install ``pytest``
 Create your first test
 ----------------------------------------------------------
 
-Create a simple test function with just four lines of code
+Create a simple test function with just four lines of code::
 
 .. code-block:: python
 
@@ -86,7 +86,7 @@ Run multiple tests
 Assert that a certain exception is raised
 --------------------------------------------------------------
 
-Use the :ref:`raises <assertraises>` helper to assert that some code raises an exception
+Use the :ref:`raises <assertraises>` helper to assert that some code raises an exception::
 
 .. code-block:: python
 
@@ -113,7 +113,7 @@ Execute the test function with “quiet” reporting mode:
 Group multiple tests in a class
 --------------------------------------------------------------
 
-Once you develop multiple tests, you may want to group them into a class. pytest makes it easy to create a class containing more than one test
+Once you develop multiple tests, you may want to group them into a class. pytest makes it easy to create a class containing more than one test::
 
 .. code-block:: python
 
@@ -152,7 +152,7 @@ The first test passed and the second failed. You can easily see the intermediate
 Request a unique temporary directory for functional tests
 --------------------------------------------------------------
 
-``pytest`` provides `Builtin fixtures/function arguments <https://docs.pytest.org/en/latest/builtin.html>`_ to request arbitrary resources, like a unique temporary directory
+``pytest`` provides `Builtin fixtures/function arguments <https://docs.pytest.org/en/latest/builtin.html>`_ to request arbitrary resources, like a unique temporary directory::
 
 .. code-block:: python
 

doc/en/goodpractices.rst

@@ -12,7 +12,7 @@ pip_ for installing your application and any dependencies,
 as well as the ``pytest`` package itself.
 This ensures your code and dependencies are isolated from your system Python installation.
 
-Next, place a ``setup.py`` file in the root of your package with the following minimum content
+Next, place a ``setup.py`` file in the root of your package with the following minimum content::
 
 .. code-block:: python
 
@@ -20,7 +20,7 @@ Next, place a ``setup.py`` file in the root of your package with the following m
 
     setup(name="PACKAGENAME", packages=find_packages())
 
-Where ``PACKAGENAME`` is the name of your package. You can then install your package in "editable" mode by running from the same directory
+Where ``PACKAGENAME`` is the name of your package. You can then install your package in "editable" mode by running from the same directory::
 
 .. code-block:: bash
 
@@ -64,7 +64,7 @@ Tests outside application code
 
 Putting tests into an extra directory outside your actual application code
 might be useful if you have many functional tests or for other reasons want
-to keep tests separate from actual application code (often a good idea)
+to keep tests separate from actual application code (often a good idea)::
 
 .. code-block:: text
 
@@ -98,7 +98,7 @@ be imported as ``test_app`` and ``test_view`` top-level modules by adding ``test
 ``sys.path``.
 
 If you need to have test modules with the same name, you might add ``__init__.py`` files to your
-``tests`` folder and subfolders, changing them to packages
+``tests`` folder and subfolders, changing them to packages::
 
 .. code-block:: text
 
@@ -122,7 +122,7 @@ This is problematic if you are using a tool like `tox`_ to test your package in
 because you want to test the *installed* version of your package, not the local code from the repository.
 
 In this situation, it is **strongly** suggested to use a ``src`` layout where application root package resides in a
-sub-directory of your root
+sub-directory of your root::
 
 .. code-block:: text
 
@@ -150,7 +150,7 @@ Tests as part of application code
 
 Inlining test directories into your application package
 is useful if you have direct relation between tests and application modules and
-want to distribute them along with your application
+want to distribute them along with your application::
 
 .. code-block:: text
 
@@ -165,7 +165,7 @@ want to distribute them along with your application
             test_view.py
             ...
 
-In this scheme, it is easy to run your tests using the ``--pyargs`` option
+In this scheme, it is easy to run your tests using the ``--pyargs`` option::
 
 .. code-block:: bash
 

doc/en/logging.rst

@@ -70,7 +70,7 @@ caplog fixture
 ^^^^^^^^^^^^^^
 
 Inside tests it is possible to change the log level for the captured log
-messages.  This is supported by the ``caplog`` fixture
+messages.  This is supported by the ``caplog`` fixture::
 
 .. code-block:: python
 
@@ -80,7 +80,7 @@ messages.  This is supported by the ``caplog`` fixture
 
 By default the level is set on the root logger,
 however as a convenience it is also possible to set the log level of any
-logger
+logger::
 
 .. code-block:: python
 
@@ -91,7 +91,7 @@ logger
 The log levels set are restored automatically at the end of the test.
 
 It is also possible to use a context manager to temporarily change the log
-level inside a ``with`` block
+level inside a ``with`` block::
 
 .. code-block:: python
 
@@ -100,7 +100,7 @@ level inside a ``with`` block
             pass
 
 Again, by default the level of the root logger is affected but the level of any
-logger can be changed instead with
+logger can be changed instead with::
 
 .. code-block:: python
 
@@ -110,7 +110,7 @@ logger can be changed instead with
 
 Lastly all the logs sent to the logger during the test run are made available on
 the fixture in the form of both the ``logging.LogRecord`` instances and the final log text.
-This is useful for when you want to assert on the contents of a message
+This is useful for when you want to assert on the contents of a message::
 
 .. code-block:: python
 
@@ -125,7 +125,7 @@ For all the available attributes of the log records see the
 
 You can also resort to ``record_tuples`` if all you want to do is to ensure,
 that certain messages have been logged under a given logger name with a given
-severity and message
+severity and message::
 
 .. code-block:: python
 
@@ -134,7 +134,7 @@ severity and message
 
         assert caplog.record_tuples == [("root", logging.INFO, "boo arg")]
 
-You can call ``caplog.clear()`` to reset the captured log records in a test
+You can call ``caplog.clear()`` to reset the captured log records in a test::
 
 .. code-block:: python
 

doc/en/plugins.rst

@@ -8,7 +8,7 @@ Installing and Using plugins
 This section talks about installing and using third party plugins.
 For writing your own plugins, please refer to :ref:`writing-plugins`.
 
-Installing a third party plugin can be easily done with ``pip``
+Installing a third party plugin can be easily done with ``pip``::
 
 .. code-block:: bash
 
@@ -97,7 +97,7 @@ Finding out which plugins are active
 ------------------------------------
 
 If you want to find out which plugins are active in your
-environment you can type
+environment you can type::
 
 .. code-block:: bash
 
@@ -112,7 +112,7 @@ and their names. It will also print local plugins aka
 Deactivating / unregistering a plugin by name
 ---------------------------------------------
 
-You can prevent plugins from loading or unregister them
+You can prevent plugins from loading or unregister them::
 
 .. code-block:: bash
 

doc/en/pythonpath.rst

@@ -22,7 +22,7 @@ Consider this file and directory layout::
              |- test_foo.py
 
 
-When executing
+When executing::
 
 .. code-block:: bash
 
@@ -56,7 +56,7 @@ Consider this file and directory layout::
              |- test_foo.py
 
 
-When executing
+When executing::
 
 .. code-block:: bash
 

doc/en/reference.rst

@@ -469,7 +469,7 @@ testdir
 This fixture provides a :class:`Testdir` instance useful for black-box testing of test files, making it ideal to
 test plugins.
 
-To use it, include in your top-most ``conftest.py`` file
+To use it, include in your top-most ``conftest.py`` file::
 
 .. code-block:: python
 

doc/en/skipping.rst

@@ -180,7 +180,7 @@ Skipping on a missing import dependency
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 You can use the following helper at module level
-or within a test or test setup function
+or within a test or test setup function::
 
 .. code-block:: python
 
@@ -188,7 +188,7 @@ or within a test or test setup function
 
 If ``docutils`` cannot be imported here, this will lead to a
 skip outcome of the test.  You can also skip based on the
-version number of a library
+version number of a library::
 
 .. code-block:: python
 
@@ -227,7 +227,7 @@ XFail: mark test functions as expected to fail
 ----------------------------------------------
 
 You can use the ``xfail`` marker to indicate that you
-expect a test to fail
+expect a test to fail::
 
 .. code-block:: python
 

doc/en/tmpdir.rst

@@ -90,7 +90,7 @@ provide a temporary directory unique to the test invocation,
 created in the `base temporary directory`_.
 
 ``tmpdir`` is a `py.path.local`_ object which offers ``os.path`` methods
-and more.  Here is an example test usage
+and more.  Here is an example test usage::
 
 .. code-block:: python
 

doc/en/unittest.rst

@@ -10,7 +10,7 @@ It's meant for leveraging existing ``unittest``-based test suites
 to use pytest as a test runner and also allow to incrementally adapt
 the test suite to take full advantage of pytest's features.
 
-To run an existing ``unittest``-style test suite using ``pytest``, type
+To run an existing ``unittest``-style test suite using ``pytest``, type::
 
 .. code-block:: bash
 
@@ -80,7 +80,7 @@ Running your unittest with ``pytest`` allows you to use its
 tests.  Assuming you have at least skimmed the pytest fixture features,
 let's jump-start into an example that integrates a pytest ``db_class``
 fixture, setting up a class-cached database object, and then reference
-it from a unittest-style test
+it from a unittest-style test::
 
 .. code-block:: python
 
@@ -109,7 +109,7 @@ as the ``cls`` attribute, denoting the class from which the fixture
 is used.  This architecture de-couples fixture writing from actual test
 code and allows re-use of the fixture by a minimal reference, the fixture
 name.  So let's write an actual ``unittest.TestCase`` class using our
-fixture definition
+fixture definition::
 
 .. code-block:: python
 
@@ -188,7 +188,7 @@ Let's look at an ``initdir`` fixture which makes all test methods of a
 ``TestCase`` class execute in a temporary directory with a
 pre-initialized ``samplefile.ini``.  Our ``initdir`` fixture itself uses
 the pytest builtin :ref:`tmpdir <tmpdir>` fixture to delegate the
-creation of a per-test temporary directory
+creation of a per-test temporary directory::
 
 .. code-block:: python
 

doc/en/usage.rst

@@ -754,7 +754,7 @@ Calling pytest from Python code
 
 
 
-You can invoke ``pytest`` from Python code directly
+You can invoke ``pytest`` from Python code directly::
 
 .. code-block:: python
 
@@ -762,13 +762,13 @@ You can invoke ``pytest`` from Python code directly
 
 this acts as if you would call "pytest" from the command line.
 It will not raise ``SystemExit`` but return the exitcode instead.
-You can pass in options and arguments
+You can pass in options and arguments::
 
 .. code-block:: python
 
     pytest.main(["-x", "mytestdir"])
 
-You can specify additional plugins to ``pytest.main``
+You can specify additional plugins to ``pytest.main``::
 
 .. code-block:: python
 

doc/en/warnings.rst

@@ -278,7 +278,7 @@ argument ``match`` to assert that the exception matches a text or regex::
       ...
     Failed: DID NOT WARN. No warnings of type ...UserWarning... was emitted...
 
-You can also call ``pytest.warns`` on a function or code string
+You can also call ``pytest.warns`` on a function or code string::
 
 .. code-block:: python
 

doc/en/xunit_setup.rst

@@ -27,7 +27,7 @@ Module level setup/teardown
 
 If you have multiple test functions and test classes in a single
 module you can optionally implement the following fixture methods
-which will usually be called once for all the functions
+which will usually be called once for all the functions::
 
 .. code-block:: python
 
@@ -46,7 +46,7 @@ Class level setup/teardown
 ----------------------------------
 
 Similarly, the following methods are called at class level before
-and after all test methods of the class are called
+and after all test methods of the class are called::
 
 .. code-block:: python
 
@@ -66,7 +66,7 @@ and after all test methods of the class are called
 Method and function level setup/teardown
 -----------------------------------------------
 
-Similarly, the following methods are called around each method invocation
+Similarly, the following methods are called around each method invocation::
 
 .. code-block:: python
 
@@ -84,7 +84,7 @@ Similarly, the following methods are called around each method invocation
 As of pytest-3.0, the ``method`` parameter is optional.
 
 If you would rather define test functions directly at module level
-you can also use the following functions to implement fixtures
+you can also use the following functions to implement fixtures::
 
 .. code-block:: python