}
    }
  }

  @AndroidIncompatible // sun.security
  public void testNoProviders() {
    ProviderList providers = Providers.getProviderList();
    Providers.setProviderList(ProviderList.newList());
    try {
      Hashing.hmacMd5(MD5_KEY);
      fail("expected ISE");
    } catch (IllegalStateException expected) {
    } finally {
      Providers.setProviderList(providers);
    }
  }

	if metric.Description.Type == histogramMetric {
		if metric.Histogram == nil {
			return
		}
		for k, v := range metric.Histogram {
			pmetric, err := prometheus.NewConstMetric(
				prometheus.NewDesc(
					prometheus.BuildFQName(string(metric.Description.Namespace),
						string(metric.Description.Subsystem),
						string(metric.Description.Name)),
					metric.Description.Help,

   * @throws IllegalStateException if the dataset is empty or contains a single value
   */
  public double sampleStandardDeviation() {
    return Math.sqrt(sampleVariance());
  }

  /**
   * Returns the lowest value in the dataset. The count must be non-zero.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains {@link Double#NaN} then the result is {@link Double#NaN}. If it

    assertThat(request.header("d")).isEqualTo("f")
    val requestHeaders = request.headers
    assertThat(LinkedHashSet(requestHeaders.values("D"))).isEqualTo(newSet("e", "f"))
    assertThat(LinkedHashSet(requestHeaders.values("d"))).isEqualTo(newSet("e", "f"))
    val response = getResponse(request)
    response.close()
    val recordedRequest = server.takeRequest()

   * otherwise, the rounding will choose between the two nearest representable values with {@code
   * mode}.
   *
   * <p>For the case of {@link RoundingMode#HALF_EVEN}, this implementation uses the IEEE 754
   * default rounding mode: if the two nearest representable values are equally near, the one with
   * the least significant bit zero is chosen. (In such cases, both of the nearest representable

    assertSame(testEquivalence, map.keyEquivalence);
    assertSame(map.valueStrength().defaultEquivalence(), map.valueEquivalence());
  }

  public void testSetConcurrencyLevel() {
    // round up to the nearest power of two

    checkConcurrencyLevel(1, 1);
    checkConcurrencyLevel(2, 2);
    checkConcurrencyLevel(3, 4);
    checkConcurrencyLevel(4, 4);
    checkConcurrencyLevel(5, 8);
    checkConcurrencyLevel(6, 8);

    assertSame(testEquivalence, map.keyEquivalence);
    assertSame(map.valueStrength().defaultEquivalence(), map.valueEquivalence());
  }

  public void testSetConcurrencyLevel() {
    // round up to the nearest power of two

    checkConcurrencyLevel(1, 1);
    checkConcurrencyLevel(2, 2);
    checkConcurrencyLevel(3, 4);
    checkConcurrencyLevel(4, 4);
    checkConcurrencyLevel(5, 8);
    checkConcurrencyLevel(6, 8);

		t.Fatalf("value differs from expected")
	}
	if lc.Len() != 1 {
		t.Fatalf("length differs from expected")
	}
}

func getRand(tb testing.TB) int64 {
	out, err := rand.Int(rand.Reader, big.NewInt(math.MaxInt64))
	if err != nil {
		tb.Fatal(err)
	}
	return out.Int64()

		// In distributed setup, anonymized addr = 'poolNum.serverNum'
		newHost := fmt.Sprintf("pool%d.server%d", poolNum, srvrNum)
		schemePfx := endpoint.Scheme + "://"

		// Hostname
		mapIfNotPresent(hostAnonymizer, endpoint.Hostname(), newHost)

		newHostPort := newHost
		if len(endpoint.Port()) > 0 {
			// Host + port
			newHostPort = newHost + ":" + endpoint.Port()

Le fast-food a 8 processeurs (serveurs/cuisiniers) 👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳👨‍🍳. Alors que le fast-food de burgers concurrents en avait 2 (un serveur et un cuisinier).

Et pourtant l'expérience finale n'est pas meilleure 😞.

---

C'est donc l'histoire équivalente parallèle pour les burgers 🍔.

Pour un exemple plus courant dans la "vie réelle", imaginez une banque.