// let the computation proceed
    computingLatch.countDown();
    // don't check cache.size() until we know the get("b") call is complete
    computationComplete.await();

    // At this point, the listener should be holding the seed value (a -> a), and the map should
    // contain the computed value (b -> b), since the clear() happened before the computation
    // completed.
    assertEquals(1, listener.size());

## Server Machine and Server Program { #server-machine-and-server-program }

There's a small detail about names to keep in mind. 💡

The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).

Just keep in mind that when you read "server" in general, it could refer to one of those two things.

The precise behavior is implementation-dependent.
</p>


<h3 id="Min_and_max">Min and max</h3>

<p>
The built-in functions <code>min</code> and <code>max</code> compute the
smallest&mdash;or largest, respectively&mdash;value of a fixed number of
arguments of <a href="#Comparison_operators">ordered types</a>.
There must be at least one argument
[<a href="#Go_1.21">Go 1.21</a>].
</p>

#### Fix it with `secrets.compare_digest()` { #fix-it-with-secrets-compare-digest }

But in our code we are actually using `secrets.compare_digest()`.

In short, it will take the same time to compare `stanleyjobsox` to `stanleyjobson` than it takes to compare `johndoe` to `stanleyjobson`. And the same for the password.

        Guava's main yardstick for evaluating proposed features can be summed up as [utility times
        ubiquity](https://github.com/google/guava/wiki/PhilosophyExplained#utility-times-ubiquity).


        #### Utility: compare with alternatives


        There is always *some* alternative to adding a new feature to Guava, even if it's just
        forking Guava yourself.

* Hinter jeder Anwendung, die Sie auf Ihrem Computer ausführen, steckt ein Prozess, jedes laufende Programm, jedes Fenster usw. Und normalerweise laufen viele Prozesse **gleichzeitig**, während ein Computer eingeschaltet ist.
* Es können **mehrere Prozesse** desselben **Programms** gleichzeitig ausgeführt werden.

        assertTrue(hashCodes.size() > 1);
    }

    /**
     * Test compareTo method
     */
    public void test_compareTo() {
        // Compare with self
        assertEquals(0, CrawlerStatus.INITIALIZING.compareTo(CrawlerStatus.INITIALIZING));
        assertEquals(0, CrawlerStatus.RUNNING.compareTo(CrawlerStatus.RUNNING));

		})
	})
}

func fileEntryCompare(x, y string) int {
	xdir, xelem, _ := split(x)
	ydir, yelem, _ := split(y)
	if xdir != ydir {
		return strings.Compare(xdir, ydir)
	}
	return strings.Compare(xelem, yelem)
}

// Open opens the named file in the ZIP archive,
// using the semantics of fs.FS.Open:
// paths are always slash separated, with no
// leading / or ../ elements.

                Arguments.of(WinError.ERROR_REQ_NOT_ACCEP,
                        "No more connections can be made to this remote computer at this time because there are already as many connections as the computer can accept."),
                Arguments.of(WinError.ERROR_BAD_PIPE, "The pipe state is invalid."),
                Arguments.of(WinError.ERROR_PIPE_BUSY, "All pipe instances are busy."),

   * computation is {@linkplain java.util.concurrent.Future#isDone() complete} or, if the
   * computation is already complete, immediately.
   *
   * <p>The callback is run on {@code executor}. There is no guaranteed ordering of execution of
   * callbacks, but any callback added through this method is guaranteed to be called once the
   * computation is complete.
   *