}

function verify_resiliency() {
	docs/resiliency/resiliency-verify-script.sh
	RESULT=$(grep "script passed" <resiliency-verify.log)
	if [ "$RESULT" != "script passed" ]; then
		echo -e "${RED}${1} Failed${NC}"
		TESTS_RUN_STATUS=$((TESTS_RUN_STATUS & 0))
	else
		echo -e "${GREEN}${1} Passed${NC}"
	fi
}

function verify_resiliency_failure() {
	docs/resiliency/resiliency-verify-failure-script.sh

	@echo "Building minio docker image '$(TAG)'"
	@docker build -q --no-cache -t $(TAG) . -f Dockerfile

test-resiliency: build
	@echo "Running resiliency tests"
	@(DOCKER_COMPOSE_FILE=$(PWD)/docs/resiliency/docker-compose.yaml env bash $(PWD)/docs/resiliency/resiliency-tests.sh)

install-race: checks build-debugging ## builds minio to $(PWD)
	@echo "Building minio binary with -race to './minio'"

	}()

	select {
	case v := <-c:
		return v.val, v.err
	case <-ctx.Done():
		var zero V
		return zero, ctx.Err()
	}
}

// DeadlineWorker implements the deadline/timeout resiliency pattern.
type DeadlineWorker struct {
	timeout time.Duration
}

// NewDeadlineWorker constructs a new DeadlineWorker with the given timeout.
// To return values, use the WithDeadline helper instead.

	github.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc // indirect
	github.com/decred/dcrd/dcrec/secp256k1/v4 v4.4.0 // indirect
	github.com/docker/go-units v0.5.0 // indirect
	github.com/eapache/go-resiliency v1.7.0 // indirect
	github.com/eapache/go-xerial-snappy v0.0.0-20230731223053-c322873962e3 // indirect
	github.com/eapache/queue v1.1.0 // indirect
	github.com/envoyproxy/go-control-plane/envoy v1.32.4 // indirect

 *       does it offer a way to batch multiple events from a single producer together.
 *   <li>It doesn't support backpressure and other features needed for resilience.
 *   <li>It doesn't provide much control of threading.
 *   <li>It doesn't offer much monitoring.
 *   <li>It doesn't propagate exceptions, so apps don't have a way to react to them.

    assertEquals(
        "The mean of x and y should equal the mean of y and x", expectedMean, IntMath.mean(y, x));
  }

  /**
   * Computes the mean in a way that is obvious and resilient to overflow by using BigInteger
   * arithmetic.
   */
  private static int computeMeanSafely(int x, int y) {
    BigInteger bigX = BigInteger.valueOf(x);
    BigInteger bigY = BigInteger.valueOf(y);

    assertEquals(
        "The mean of x and y should equal the mean of y and x", expectedMean, IntMath.mean(y, x));
  }

  /**
   * Computes the mean in a way that is obvious and resilient to overflow by using BigInteger
   * arithmetic.
   */
  private static int computeMeanSafely(int x, int y) {
    BigInteger bigX = BigInteger.valueOf(x);
    BigInteger bigY = BigInteger.valueOf(y);

    39,
    37,
    35,
    34,
    34,
    33
  };

  /**
   * Returns the arithmetic mean of {@code x} and {@code y}, rounded towards negative infinity. This
   * method is overflow resilient.
   *
   * @since 14.0
   */
  public static int mean(int x, int y) {
    // Efficient method for computing the arithmetic mean.
    // The alternative (x + y) / 2 fails for large values.

    assertEquals(
        "The mean of x and y should equal the mean of y and x", expectedMean, LongMath.mean(y, x));
  }

  /**
   * Computes the mean in a way that is obvious and resilient to overflow by using BigInteger
   * arithmetic.
   */
  private static long computeMeanSafely(long x, long y) {
    BigInteger bigX = BigInteger.valueOf(x);
    BigInteger bigY = BigInteger.valueOf(y);

  static boolean fitsInInt(long x) {
    return (int) x == x;
  }

  /**
   * Returns the arithmetic mean of {@code x} and {@code y}, rounded toward negative infinity. This
   * method is resilient to overflow.
   *
   * @since 14.0
   */
  public static long mean(long x, long y) {
    // Efficient method for computing the arithmetic mean.
    // The alternative (x + y) / 2 fails for large values.