}
	return canned, nil, nil
}

func (client mockPromAPI) WalReplay(ctx context.Context) (promv1.WalReplayStatus, error) {
	// TODO implement me
	panic("implement me")
}

func (client mockPromAPI) Series(ctx context.Context, matches []string,
	startTime time.Time, endTime time.Time,
) ([]prometheus_model.LabelSet, promv1.Warnings, error) {
	return nil, nil, nil
}

      apply {
        this.socketPolicy = socketPolicy
      }

    /**
     * Throttles the request reader and response writer to sleep for the given period after each
     * series of [bytesPerPeriod] bytes are transferred. Use this to simulate network behavior.
     */
    fun throttleBody(
      bytesPerPeriod: Long,
      period: Long,
      unit: TimeUnit,
    ) = apply {

          ImmutableList.of(2, 3),
          ImmutableList.of(1, 2),
          ImmutableList.of(3, 5),
          ImmutableList.of(2, 4),
          ImmutableList.of(1, 2, 3, 5, 6, 8, 9));

  /*
   * We have a whole series of abstract test classes that "stack", so e.g. the tests for filtered
   * NavigableSets inherit the tests for filtered Iterables, Collections, Sets, and SortedSets. The
   * actual implementation tests are further down.
   */

[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 

		}
	}
	return hdr, err
}

func (tr *Reader) next() (*Header, error) {
	var paxHdrs map[string]string
	var gnuLongName, gnuLongLink string

	// Externally, Next iterates through the tar archive as if it is a series of
	// files. Internally, the tar format often uses fake "files" to add meta
	// data that describes the next file. These meta data "files" should not
	// normally be visible to the outside. As such, this loop iterates through

import java.util.Collections;
import java.util.Iterator;
import java.util.List;
import java.util.Map.Entry;
import java.util.Set;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A series of tests that support asserting that collections cannot be modified, either through
 * direct or indirect means.
 *
 * @author Robert Konigsberg
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault

   * Object)} are even more convenient.
   *
   * <p>Builder instances can be reused - it is safe to call {@link #buildOrThrow} multiple times to
   * build multiple tables in series. Each table is a superset of the tables created before it.
   *
   * @since 11.0
   */
  @DoNotMock
  public static final class Builder<R, C, V> {
    private final List<Cell<R, C, V>> cells = Lists.newArrayList();

    },
    {
      "type": "panel",
      "id": "stat",
      "name": "Stat",
      "version": ""
    },
    {
      "type": "panel",
      "id": "timeseries",
      "name": "Time series",
      "version": ""
    }
  ],
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": {
          "type": "datasource",
          "uid": "grafana"
        },

message ExternalMetricSource {
  // metricName is the name of the metric in question.
  optional string metricName = 1;

  // metricSelector is used to identify a specific time series
  // within a given metric.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.LabelSelector metricSelector = 2;

  // targetValue is the target value of the metric (as a quantity).

    val PARALLEL = "multipart/parallel".toMediaType()

    /**
     * The media-type multipart/form-data follows the rules of all multipart MIME data streams as
     * outlined in RFC 2046. In forms, there are a series of fields to be supplied by the user who
     * fills out the form. Each field has a name. Within a given form, the names are unique.
     */
    @JvmField
    val FORM = "multipart/form-data".toMediaType()