deploy: ceab5a4bfa

develop/log_contexts.html

@@ -191,7 +191,7 @@ and add it to each log record.</p>
 <p>Logcontexts are also used for CPU and database accounting, so that we
 can track which requests were responsible for high CPU use or database
 activity.</p>
-<p>The <code>synapse.logging.context</code> module provides a facilities for managing
+<p>The <code>synapse.logging.context</code> module provides facilities for managing
 the current log context (as well as providing the <code>LoggingContextFilter</code>
 class).</p>
 <p>Asynchronous functions make the whole thing complicated, so this document describes
@@ -468,7 +468,7 @@ and the awaitable chain is now orphaned, and will be garbage-collected at
 some point. Note that <code>await_something_interesting</code> is a coroutine, 
 which Python implements as a generator function.  When Python
 garbage-collects generator functions, it gives them a chance to 
-clean up by making the <code>async</code> (or <code>yield</code>) raise a <code>GeneratorExit</code>
+clean up by making the <code>await</code> (or <code>yield</code>) raise a <code>GeneratorExit</code>
 exception. In our case, that means that the <code>__exit__</code> handler of
 <code>PreserveLoggingContext</code> will carefully restore the request context, but
 there is now nothing waiting for its return, so the request context is

develop/print.html

@@ -12151,7 +12151,7 @@ and add it to each log record.</p>
 <p>Logcontexts are also used for CPU and database accounting, so that we
 can track which requests were responsible for high CPU use or database
 activity.</p>
-<p>The <code>synapse.logging.context</code> module provides a facilities for managing
+<p>The <code>synapse.logging.context</code> module provides facilities for managing
 the current log context (as well as providing the <code>LoggingContextFilter</code>
 class).</p>
 <p>Asynchronous functions make the whole thing complicated, so this document describes
@@ -12428,7 +12428,7 @@ and the awaitable chain is now orphaned, and will be garbage-collected at
 some point. Note that <code>await_something_interesting</code> is a coroutine, 
 which Python implements as a generator function.  When Python
 garbage-collects generator functions, it gives them a chance to 
-clean up by making the <code>async</code> (or <code>yield</code>) raise a <code>GeneratorExit</code>
+clean up by making the <code>await</code> (or <code>yield</code>) raise a <code>GeneratorExit</code>
 exception. In our case, that means that the <code>__exit__</code> handler of
 <code>PreserveLoggingContext</code> will carefully restore the request context, but
 there is now nothing waiting for its return, so the request context is