) ?: return null

    // If we coalesced our connection, remember the replaced connection's route. That way if the
    // coalesced connection later fails we don't waste a valid route.
    if (planToReplace != null) {
      nextRouteToTry = planToReplace.route
      planToReplace.closeQuietly()
    }

    connectionUser.connectionAcquired(result)

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)

* Klicken Sie auf die Taste „Try it out“, damit können Sie die Parameter ausfüllen und direkt mit der API interagieren:

![Swagger UI Interaktion](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

```

But right at the moment Python compares the first `j` in `johndoe` to the first `s` in `stanleyjobson`, it will return `False`, because it already knows that those two strings are not the same, thinking that "there's no need to waste more computation comparing the rest of the letters". And your application will say "Incorrect username or password".

But then the attackers try with username `stanleyjobsox` and password `love123`.

  // `backward_function_deleter`) to compute jvps for this operation. If
  // `forward_function` is null, a GradientTape is used on the backward function
  // to compute the jvp, which will waste computation when executing eagerly.
  //
  // Unlike GradientTape::RecordOperation, Accumulate runs gradient computation
  // immediately. It stores the results, which feed into Accumulate for future

            headerNameIndex = staticIndex + 1
            if (headerNameIndex in 2..7) {
              // Only search a subset of the static header table. Most entries have an empty value, so
              // it's unnecessary to waste cycles looking at them. This check is built on the
              // observation that the header entries we care about are in adjacent pairs, and we
              // always know the first index of the pair.

    assertEquals("", is('a').retainFrom(""));
  }

  public void testPrecomputedOptimizations() {
    // These are testing behavior that's never promised by the API.
    // Some matchers are so efficient that it is a waste of effort to
    // build a precomputed version.
    CharMatcher m1 = is('x');
    assertSame(m1, m1.precomputed());
    assertEquals(m1.toString(), m1.precomputed().toString());

    CharMatcher m2 = anyOf("Az");

    assertEquals("", is('a').retainFrom(""));
  }

  public void testPrecomputedOptimizations() {
    // These are testing behavior that's never promised by the API.
    // Some matchers are so efficient that it is a waste of effort to
    // build a precomputed version.
    CharMatcher m1 = is('x');
    assertSame(m1, m1.precomputed());
    assertEquals(m1.toString(), m1.precomputed().toString());

    CharMatcher m2 = anyOf("Az");

   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not

   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not

	}

	// queue replication heal in a goroutine to avoid holding up mrf save routine
	go func() {
		for vID, e := range mrfRec.Entries {
			ctx, cancel := context.WithTimeout(p.ctx, time.Second) // Do not waste more than a second on this.

			oi, err := p.objLayer.GetObjectInfo(ctx, e.Bucket, e.Object, ObjectOptions{
				VersionID: vID,
			})
			cancel()
			if err != nil {
				continue
			}