fix errors

conf.py

@@ -178,7 +178,7 @@
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['_static']
+html_static_path = ['_build/html/_static']
 
 # Add any extra paths that contain custom files (such as robots.txt or
 # .htaccess) here, relative to this directory. These files are copied

hello_world.rst

@@ -9,11 +9,11 @@ This is a series of examples showing the basics of how to write
 Simple coroutine
 ----------------
 
-This example uses the :py:meth:`asyncio.BaseEventLoop.run_until_complete`
+This example uses the :py:meth:`asyncio.AbstractEventLoop.run_until_complete`
 method to schedule a simple function that will wait one second, print
 ``hello`` and then finish.
 
-Because it is launched with :py:meth:`run_until_complete`,
+Because it is launched with :py:meth:`asyncio.AbstractEventLoop.run_until_complete`,
 the :term:`event loop <event loop>` itself
 will terminate once the :term:`coroutine <coroutine>` is completed.
 
@@ -49,7 +49,9 @@ all scheduled :term:`tasks <task>` could execute, which results in a warning.
 
 Warning::
 
-    Task was destroyed but it is pending!
-    task: <Task pending coro=<say() done, defined at examples/loop_stop.py:3>
-    wait_for=<Future pending cb=[Task._wakeup()]>>
+.. highlight:: none
+
+      Task was destroyed but it is pending!
+      task: <Task pending coro=<say() done, defined at examples/loop_stop.py:3>
+      wait_for=<Future pending cb=[Task._wakeup()]>>
 

webscraper.rst

@@ -21,6 +21,8 @@ This is a very simple web server. (See below for the code.)
 Its only purpose is to wait for a given amount of time.
 Test it by running it from the command line::
 
+.. highlight:: bash
+
     $ python simple_server.py
 
 It will answer like this::
@@ -125,6 +127,8 @@ difference provides the elapsed run time.
 
 Finally, we can run our client::
 
+.. highlight:: bash
+
     $ python synchronous_client.py
 
 and get this output::
@@ -254,6 +258,8 @@ This means, we wait until each pages has been retrieved before asking for
 the next.
 Let's run it from the command-line to see what happens::
 
+.. highlight:: bash
+
     $ async_client_blocking.py
     It took 11.06 seconds for a total waiting time of 11.00.
     Waited for 1.00 seconds.
@@ -320,6 +326,8 @@ So, for a list with 100 tasks it would mean:
 
 Let's see if we got any faster::
 
+.. highlight:: bash
+
     $ async_client_nonblocking.py
     It took 5.08 seconds for a total waiting time of 11.00.
     Waited for 1.00 seconds.
@@ -359,6 +367,8 @@ The library aiohttp_ allows to write HTTP client and server applications,
 using a high-level approach.
 Install with::
 
+.. highlight:: bash
+
     $ pip install aiohttp
 
 
@@ -409,6 +419,8 @@ to ``fetch_page()`` as the first argument.
 
 Finally, we run this program::
 
+.. highlight:: bash
+
     $ python aiohttp_client.py
     It took 5.04 seconds for a total waiting time of 11.00.
     Waited for 1.00 seconds.