import static com.google.common.truth.Truth.assertThat;
import static org.junit.Assert.assertThrows;

import junit.framework.TestCase;

/**
 * Tests for {@link LinearTransformation}.
 *
 * @author Pete Gillin
 */
public class LinearTransformationTest extends TestCase {

  private static final double ALLOWED_ERROR = 1e-10;

  public void testMappingAnd_regular() {
    double x1 = 1.2;
    double y1 = 3.4;

import static com.google.common.truth.Truth.assertThat;
import static org.junit.Assert.assertThrows;

import junit.framework.TestCase;

/**
 * Tests for {@link LinearTransformation}.
 *
 * @author Pete Gillin
 */
public class LinearTransformationTest extends TestCase {

  private static final double ALLOWED_ERROR = 1e-10;

  public void testMappingAnd_regular() {
    double x1 = 1.2;
    double y1 = 3.4;

    ImmutableMap<Service, Long> startupTimes = serviceManager.startupTimes();
    assertThat(startupTimes).hasSize(2);
    assertThat(startupTimes.get(a)).isAtLeast(150);
    // Service b startup takes at least 353 millis, but starting the timer is delayed by at least
    // 150 milliseconds. so in a perfect world the timing would be 353-150=203ms, but since either

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server,endpoint}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Link Latency (millis)",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

|:-------------------------------------------|:------------------------------------------------------------|
| `minio_node_iam_last_sync_duration_millis` | Last successful IAM data sync duration in milliseconds.     |
| `minio_node_iam_since_last_sync_millis`    | Time (in milliseconds) since last successful IAM data sync. |
| `minio_node_iam_sync_failures`             | Number of failed IAM data syncs since server start.         |

  }

  /**
   * Creates a TimeLimiter instance using the given executor service to execute method calls.
   *
   * <p><b>Warning:</b> using a bounded executor may be counterproductive! If the thread pool fills
   * up, any time callers spend waiting for a thread may count toward their time limit, and in this
   * case the call may even time out before the target method is ever invoked.
   *

    ImmutableMap<Service, Long> startupTimes = serviceManager.startupTimes();
    assertThat(startupTimes).hasSize(2);
    assertThat(startupTimes.get(a)).isAtLeast(150);
    // Service b startup takes at least 353 millis, but starting the timer is delayed by at least
    // 150 milliseconds. so in a perfect world the timing would be 353-150=203ms, but since either

 * {@link PairedStatsAccumulator#snapshot} method which returns {@link PairedStats} instances, see
 * {@link PairedStatsTest}.
 *
 * @author Pete Gillin
 */
public class PairedStatsAccumulatorTest extends TestCase {

  private PairedStatsAccumulator emptyAccumulator;
  private PairedStatsAccumulator emptyAccumulatorByAddAllEmptyPairedStats;

 * {@link PairedStatsAccumulator#snapshot} method which returns {@link PairedStats} instances, see
 * {@link PairedStatsTest}.
 *
 * @author Pete Gillin
 */
public class PairedStatsAccumulatorTest extends TestCase {

  private PairedStatsAccumulator emptyAccumulator;
  private PairedStatsAccumulator emptyAccumulatorByAddAllEmptyPairedStats;

    /**
     * The maximum amount of time after the client calls [close] to wait for a graceful shutdown. If
     * the server doesn't respond the web socket will be canceled.
     */
    const val CANCEL_AFTER_CLOSE_MILLIS = 60L * 1000

    /**
     * The smallest message that will be compressed. We use 1024 because smaller messages already
     * fit comfortably within a single ethernet packet (1500 bytes) even with framing overhead.