* Validation for most (or all?) Python **data types**, including:
    * JSON objects (`dict`).
    * JSON array (`list`) defining item types.
    * String (`str`) fields, defining min and max lengths.
    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.
    * UUID.
    * ...and others.

   * sets ("constant sets"), with a given comparator. Example:
   *
   * <pre>{@code
   * public static final ImmutableSortedSet<Number> LUCKY_NUMBERS =
   *     new ImmutableSortedSet.Builder<Number>(ODDS_FIRST_COMPARATOR)
   *         .addAll(SINGLE_DIGIT_PRIMES)
   *         .add(42)
   *         .build();
   * }</pre>
   *

If you run **multiple processes per container** (for example with the official Docker image) you will have to make sure that the number of processes started doesn't **consume more memory** than what is available.

		BytesFailed:             pd.BytesFailed,
	}
}

// bucketPop should be called when a bucket is done decommissioning.
// Adds the bucket to the list of decommissioned buckets and updates resume numbers.
func (pd *PoolDecommissionInfo) bucketPop(bucket string) bool {
	pd.DecommissionedBuckets = append(pd.DecommissionedBuckets, bucket)
	for i, b := range pd.QueuedBuckets {
		if b == bucket {
			// Bucket is done.

	if g1.Name != g2.Name ||
		g1.Status != g2.Status ||
		g1.Policy != g2.Policy {
		return false
	}
	if len(g1.Members) != len(g2.Members) {
		return false
	}
	for _, v1 := range g1.Members {
		var found bool
		for _, v2 := range g2.Members {
			if v1 == v2 {
				found = true
				break
			}
		}
		if !found {
			return false
		}
	}
	return true

    *   Added a new `rerandomize_each_iteration` argument for the `tf.data.Dataset.sample_from_datasets()` operation, which...

| `minio_api_requests_rejected_auth_total`       | `counter` | Total number of requests rejected for auth failure      | `type,pool_index,server`         |
| `minio_api_requests_rejected_header_total`     | `counter` | Total number of requests rejected for invalid header    | `type,pool_index,server`         |
| `minio_api_requests_rejected_timestamp_total`  | `counter` | Total number of requests rejected for invalid timestamp | `type,pool_index,server`         |

			if setSize%s == 0 {
				ss = append(ss, s)
			}
		}
		return ss
	}

	setCounts := possibleSetCounts(commonSize)
	if len(setCounts) == 0 {
		msg := fmt.Sprintf("Incorrect number of endpoints provided %s, number of drives %d is not divisible by any supported erasure set sizes %d", args, commonSize, setSizes)
		return nil, config.ErrInvalidNumberOfErasureEndpoints(nil).Msg(msg)
	}

	var setSize uint64

      } else {
        return contains(element) ? unfiltered.remove(element, occurrences) : 0;
      }
    }
  }

  /**
   * Returns the expected number of distinct elements given the specified elements. The number of
   * distinct elements is only computed if {@code elements} is an instance of {@code Multiset};
   * otherwise the default value of 11 is returned.
   */

   * Returns the minimum of the two values. If the values compare as 0, the first is returned.
   *
   * <p>The recommended solution for finding the {@code minimum} of some values depends on the type
   * of your data and the number of elements you have. Read more in the Guava User Guide article on
   * <a href="https://github.com/google/guava/wiki/CollectionUtilitiesExplained#comparators">{@code
   * Comparators}</a>.
   *