navigate to the
[GitHub "issues" tab](https://github.com/tensorflow/tensorflow/issues) and start
looking through interesting issues. If you are not sure of where to start, then
start by trying one of the smaller/easier issues here i.e.
[issues with the "good first issue" label](https://github.com/tensorflow/tensorflow/labels/good%20first%20issue)
and then take a look at the

	log.Info("configuring host-level iptables rules (healthchecks, etc)")

	iptablesBuilder := builder.NewIptablesRuleBuilder(ipbuildConfig(cfg.cfg))

	// For easier cleanup, insert a jump into an owned chain
	// -A POSTROUTING -p tcp -j ISTIO_POSTRT
	iptablesBuilder.AppendRule(
		iptableslog.UndefinedCommand, iptablesconstants.POSTROUTING, iptablesconstants.NAT,

        .testEquals();
  }

  private interface Loser<E extends Throwable> {
    void lose() throws E;
  }

  public <T extends Loser<AssertionError>> void testMethod_exceptionTypes()
      throws NoSuchMethodException {
    Method failMethod = Loser.class.getMethod("lose");
    Invokable<T, ?> invokable = new TypeToken<T>(getClass()) {}.method(failMethod);

Of course, there are some cases where there's no problem in running the previous steps multiple times, in that case, it's a lot easier to handle.

!!! tip
    Also, keep in mind that depending on your setup, in some cases you **might not even need any previous steps** before starting your application.

        }
      }
    }
    for (Invokable<?, ?> factory : factories) {
      factory.setAccessible(true);
    }
    // Sorts methods/constructors with the least number of parameters first since it's likely easier
    // to fill dummy parameter values for them. Ties are broken by name then by the string form of
    // the parameter list.
    return BY_NUMBER_OF_PARAMETERS
        .compound(BY_METHOD_NAME)

   * invokeAny} which are pending serial execution, even the subset of the tasks that have not yet
   * started execution. It is unclear from the {@code ExecutorService} specification if these should
   * be included, and it's much easier to implement the interpretation that they not be. Finally, a
   * call to {@code shutdown} or {@code shutdownNow} may result in concurrent calls to {@code

(Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License...

### Other forms of asynchronous code

This style of using `async` and `await` is relatively new in the language.

But it makes working with asynchronous code a lot easier.

This same syntax (or almost identical) was also included recently in modern versions of JavaScript (in Browser and NodeJS).

But before that, handling asynchronous code was quite more complex and difficult.

 *  Fix: Support executing OkHttp on kotlin-stdlib versions as old as 1.4. The library still builds
    on up-to-date Kotlin releases (1.6.21) but no longer needs that version as a runtime dependency.
    This should make it easier to use OkHttp in Gradle plugins.

 *  Fix: Don't start the clock on response timeouts until the request body is fully transmitted.
    This is only relevant for duplex request bodies, because they are written concurrently when

and less like C and C++, where the meaning of any program with a race
is entirely undefined, and the compiler may do anything at all.
Go's approach aims to make errant programs more reliable and easier to debug,
while still insisting that races are errors and that tools can diagnose and report them.
</p>

<h2 id="model">Memory Model</h2>

<p>
The following formal definition of Go's memory model closely follows