metric.Avg = metric.Sum / float64(metric.Count)
	subsysMetrics[key] = metric

	resourceMetricsMap[subSys] = subsysMetrics
}

// updateDriveIOStats - Updates the drive IO stats by calculating the difference between the current and latest updated values.
func updateDriveIOStats(currentStats madmin.DiskIOStats, latestStats madmin.DiskIOStats, labels map[string]string) {
	sectorSize := uint64(512)
	kib := float64(1 << 10)

    collected using form data (instead of JSON) and that it should have the specific
    fields `username` and `password`.

    All the initialization parameters are extracted from the request.

    The only difference between `OAuth2PasswordRequestFormStrict` and
    `OAuth2PasswordRequestForm` is that `OAuth2PasswordRequestFormStrict` requires the
    client to send the form field `grant_type` with the value `"password"`, which

				bucketsToBeUpdated.Add(bucket)
				continue
			}
			if !globalDomainIPs.Intersection(set.CreateStringSet(getHostsSlice(r)...)).IsEmpty() {
				if globalDomainIPs.Difference(set.CreateStringSet(getHostsSlice(r)...)).IsEmpty() && !domainMissing {
					// No difference in terms of domainIPs and nothing
					// has changed so we don't change anything on the etcd.
					//
					// Additionally also check if domain is updated/missing with more

            .add(Range.openClosed(3, 4))
            .add(Range.open(8, 10))
            .add(Range.openClosed(15, 17))
            .build();

    assertThat(RANGE_SET_ONE.difference(RANGE_SET_TWO)).isEqualTo(expected);
  }

  public void testAsSet() {
    ImmutableSortedSet<Integer> expectedSet = ImmutableSortedSet.of(2, 3, 4, 8, 9, 16, 17);

   * incorrect values. This is useful for testing methods that must treat the return value from
   * size() as a hint only.
   *
   * @param delta the difference between the true size of the collection and the values returned by
   *     the size method
   */
  public static <T extends @Nullable Object> Collection<T> misleadingSizeCollection(int delta) {

**Concorrência** e **paralelismo** ambos são relacionados a "diferentes coisas acontecendo mais ou menos ao mesmo tempo".

Mas os detalhes entre *concorrência* e *paralelismo* são bem diferentes.

Para ver essa diferença, imagine a seguinte história sobre hambúrgueres:

### Hambúrgueres concorrentes { #concurrent-burgers }

<img src="/img/tutorial/generate-clients/image05.png">

## App de FastAPI con tags { #fastapi-app-with-tags }

En muchos casos tu app de FastAPI será más grande, y probablemente usarás tags para separar diferentes grupos de *path operations*.

Por ejemplo, podrías tener una sección para **items** y otra sección para **users**, y podrían estar separadas por tags:

{* ../../docs_src/generate_clients/tutorial002_py39.py hl[21,26,34] *}

	for i := range totalParts {
		// hard coding hash and algo value for the checksum, Since we are benchmarking the parsing of xl.meta the magnitude doesn't affect the test,
		// The magnitude doesn't make a difference, only the size does.
		xlMeta.AddTestObjectCheckSum(i+1, BLAKE2b512, "a23f5eff248c4372badd9f3b2455a285cd4ca86c3d9a570b091d3fc5cd7ca6d9484bbea3f8c5d8d4f84daae96874419eda578fd736455334afbac2c924b3915a")

    // array of indexes to be calculated is modified between the calls to indexes and compute: since
    // the contract is that it is snapshotted, this shouldn't make any difference to the result.
    int[] indexes = {0, 10, 5, 1, 8, 10};
    ScaleAndIndexes intermediate = Quantiles.scale(10).indexes(indexes);
    indexes[0] = 3;
    assertThat(intermediate.compute(SIXTEEN_SQUARES_DOUBLES))

    // array of indexes to be calculated is modified between the calls to indexes and compute: since
    // the contract is that it is snapshotted, this shouldn't make any difference to the result.
    int[] indexes = {0, 10, 5, 1, 8, 10};
    ScaleAndIndexes intermediate = Quantiles.scale(10).indexes(indexes);
    indexes[0] = 3;
    assertThat(intermediate.compute(SIXTEEN_SQUARES_DOUBLES))