return 0;

        // Adjust based on error rate
        double errorRate = getErrorRate();
        if (errorRate > 0.1)
            score -= 50;
        else if (errorRate > 0.01)
            score -= 20;

        // Adjust based on interface capabilities
        score += localInterface.getScore() / 100;
        score += remoteInterface.getScore() / 100;

73.961746215820312,40.800731658935547,1,1.25,7,1,0.5,0,0,,,8.5,2,1,75,24,green,0.00,1.2,0.0,51,36,5.37,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,3804,1902,193,1,Manhattan,019300,1019300,E,MN09,Morningside Heights,3802^3389241,2,2014-03-10 19:29:40,2014-03-10 19:53:09,N,1,-73.950843811035156,40.791805267333984,-73.938186645507812,40.843559265136719,1,4.57,19,1,0.5,0,0,,,20.5,2,1,75,244,green,0.00,1.2,0.0,51,36,5.37,1267,168,1,Manhattan,016800,1016800,E,MN33,East Harlem South,38...

    assertFalse(numberOrdering.isOrdered(asList(0, 5, 3, 9)));
    assertTrue(numberOrdering.isOrdered(asList(0, 3, 5, 9)));
    assertTrue(numberOrdering.isOrdered(asList(0, 0, 3, 3)));
    assertTrue(numberOrdering.isOrdered(asList(0, 3)));
    assertTrue(numberOrdering.isOrdered(singleton(1)));
    assertTrue(numberOrdering.isOrdered(Collections.<Integer>emptyList()));
  }

    assertFalse(numberOrdering.isOrdered(asList(0, 5, 3, 9)));
    assertTrue(numberOrdering.isOrdered(asList(0, 3, 5, 9)));
    assertTrue(numberOrdering.isOrdered(asList(0, 0, 3, 3)));
    assertTrue(numberOrdering.isOrdered(asList(0, 3)));
    assertTrue(numberOrdering.isOrdered(singleton(1)));
    assertTrue(numberOrdering.isOrdered(Collections.<Integer>emptyList()));
  }

  public void testOptimalNumOfHashFunctionsRounding() {
    assertEquals(5, BloomFilter.optimalNumOfHashFunctions(0.03));
  }

  /** Tests that we always get a non-negative optimal size. */
  public void testOptimalSize() {
    for (int n = 1; n < 1000; n++) {
      for (double fpp = Double.MIN_VALUE; fpp < 1.0; fpp += 0.001) {
        assertThat(BloomFilter.optimalNumOfBits(n, fpp)).isAtLeast(0);
      }
    }

		{".5", time.Time{}, false},
		{"-1.3", time.Unix(-1, -3e8), true},
		{"-1.0", time.Unix(-1, -0e0), true},
		{"-0.0", time.Unix(-0, -0e0), true},
		{"-0.1", time.Unix(-0, -1e8), true},
		{"-0.01", time.Unix(-0, -1e7), true},
		{"-0.99", time.Unix(-0, -99e7), true},
		{"-0.98", time.Unix(-0, -98e7), true},
		{"-1.1", time.Unix(-1, -1e8), true},
		{"-1.01", time.Unix(-1, -1e7), true},

 *   <dt>An IPv6 "IPv4 compatible" (or "compat") address, {@code "::192.168.0.1"}.
 *   <dd>{@code 00 00 00 00 00 00 00 00 00 00 00 00 c0 a8 00 01}
 *   <dt>An IPv6 "IPv4 mapped" address, {@code "::ffff:192.168.0.1"}.
 *   <dd>{@code 00 00 00 00 00 00 00 00 00 00 ff ff c0 a8 00 01}
 * </dl>
 *
 * <p>A few notes about IPv6 "IPv4 mapped" addresses and their observed use in Java.
 *

But we can still add _more_ `tags` that will be applied to a specific *path operation*, and also some extra `responses` specific to that *path operation*:

{* ../../docs_src/bigger_applications/app_an_py39/routers/items.py hl[30:31] title["app/routers/items.py"] *}

/// tip

This last path operation will have the combination of tags: `["items", "custom"]`.

          Doubles.asList(
              -Double.MIN_VALUE,
              -Double.MIN_NORMAL,
              -1,
              -20,
              Double.NaN,
              Double.NEGATIVE_INFINITY,
              -0.001));

  public void testFuzzyEqualsFinite() {
    for (double a : FINITE_DOUBLE_CANDIDATES) {
      for (double b : FINITE_DOUBLE_CANDIDATES) {
        for (double tolerance : FINITE_TOLERANCE_CANDIDATES) {

	LTDBR	F3, F4                 // b3120043
	TCEB	F5, $8                 // ed5000080010
	TCDB	F15, $4095             // edf00fff0011

	UNDEF                          // 00000000
	BRRK			       // 0001
	NOPH                           // 0700

	SYNC                           // 07e0

	KM	R2, R4                 // b92e0024
	KMC	R2, R6                 // b92f0026
	KLMD	R2, R8                 // b93f0028