*/
  public double populationCovariance() {
    checkState(count() != 0);
    return sumOfProductsOfDeltas / count();
  }

  /**
   * Returns the sample covariance of the values. The count must be greater than one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same pair of values
   * multiple times, due to numerical errors.
   *
   * <h3>Non-finite values</h3>
   *

Import the `Response` class (sub-class) you want to use and declare it in the *path operation decorator*.

For large responses, returning a `Response` directly is much faster than returning a dictionary.

	)

	// if disk max timeout is smaller than checkEvery window
	// reduce checks by a second.
	if globalDriveConfig.GetMaxTimeout() <= checkEvery {
		checkEvery = globalDriveConfig.GetMaxTimeout() - time.Second
		if checkEvery <= 0 {
			checkEvery = globalDriveConfig.GetMaxTimeout()
		}
	}

	// if disk max timeout is smaller than skipIfSuccessBefore window
	// reduce the skipIfSuccessBefore by a second.

// Updates are sent on a regular basis and the caller *must* consume them.
func (er erasureObjects) nsScanner(ctx context.Context, buckets []BucketInfo, wantCycle uint32, updates chan<- dataUsageCache, healScanMode madmin.HealScanMode) error {
	if len(buckets) == 0 {
		return nil
	}

	// Collect disks we can use.
	disks, healing := er.getOnlineDisksWithHealing(false)
	if len(disks) == 0 {

#   DefaultArtifactResolverRequest   - Artifact resolution results (session/hard to avoid re-resolving)
#   DefaultVersionResolverRequest    - Version resolution results (session/soft, less critical than artifacts)
#   RgavCacheKey                     - BOM import caching (session/soft, typically resolved once)
#   DefaultModelBuilderRequest       - Model building operations (none, ensures fresh dynamic builds)

You send it a token and it returns an authenticated user.

This provider might be charging you per request, and calling it might take some extra time than if you had a fixed mock user for tests.

You probably want to test the external provider once, but not necessarily call it for every test that runs.

    assert response.json() == {
        "detail": [
            {
                "type": "greater_than",
                "loc": ["body", 0, "age"],
                "msg": "Input should be greater than 0",
                "input": -1.0,
                "ctx": {"gt": 0},
            }
        ]
    }


def test_put_incorrect_body_multiple():

}

func (l *localLocker) Lock(ctx context.Context, args dsync.LockArgs) (reply bool, err error) {
	if len(args.Resources) > maxDeleteList {
		return false, fmt.Errorf("internal error: localLocker.Lock called with more than %d resources", maxDeleteList)
	}

	// If we have too many waiting, reject this at once.
	if l.waitMutex.Load() > lockMutexWaitLimit {
		l.locksOverloaded.Add(1)
		return false, nil
	}
	// Wait for mutex

		data                string
		expectedResult      time.Time
		expectedSha256hex   string
		expectedReleaseInfo string
		expectedErr         bool
	}{
		{"more than two fields", time.Time{}, "", "", true},
		{"more than", time.Time{}, "", "", true},
		{"more than.two.fields", time.Time{}, "", "", true},
		{"more minio.RELEASE.fields", time.Time{}, "", "", true},
		{"more minio.RELEASE.2016-10-07T01-16-39Z", time.Time{}, "", "", true},

     * and the arithmetic mean is always higher than the geometric mean.
     *
     * b) this iteration converges to floor(sqrt(x)). In fact, the number of correct digits doubles
     * with each iteration, so this algorithm takes O(log(digits)) iterations.
     *
     * We start out with a double-precision approximation, which may be higher or lower than the