assertThat("⑴".map()).isEqualTo("(1)")
  }

  @Test fun outOfBounds() {
    assertFailsWith<IllegalArgumentException> {
      table.map(-1, Buffer())
    }
    table.map(0, Buffer()) // Lowest legal code point.
    table.map(0x10ffff, Buffer()) // Highest legal code point.
    assertFailsWith<IllegalArgumentException> {
      table.map(0x110000, Buffer())
    }
  }

            assertTrue(Smb2Constants.SMB2_DIALECT_ANY > Smb2Constants.SMB2_DIALECT_0202,
                    "Dialect ANY should be greater than lowest dialect");
            assertTrue(Smb2Constants.SMB2_DIALECT_ANY < Smb2Constants.SMB2_DIALECT_0300, "Dialect ANY should be less than SMB3 dialects");
        }

        @Test

    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()

   * updates are made to the base field.  Upon first contention (a
   * failed CAS on base update), the table is initialized to size 2.
   * The table size is doubled upon further contention until
   * reaching the nearest power of two greater than or equal to the
   * number of CPUS. Table slots remain empty (null) until they are
   * needed.
   *
   * A single spinlock ("busy") is used for initializing and

	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,

      }
    }
  }

  @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);
    }
  }

   * @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

   * 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);