*   computeInPlace;
   * - (except that, for non-finite values, we don't do all combinations exhaustively);
   * - percentiles with index and with indexes taking int-varargs, and with compute taking a
   *   double-collection and with computeInPlace.
   */

  private static final double ALLOWED_ERROR = 1.0e-10;

  /**
   * A {@link Correspondence} which accepts finite values within {@link #ALLOWED_ERROR} of each
   * other.
   */

          array[i] = counter.getAndIncrement();
        }
        builder.addAll(array);
      }
    },
    ;

    static final BuilderOp[] values = values();

    static BuilderOp randomOp() {
      return values[RANDOM.nextInt(values.length)];
    }

    abstract void doIt(ImmutableDoubleArray.Builder builder, AtomicInteger counter);
  }

  private static final Random RANDOM = new Random(42);

	}
	return resp.Body, nil
}

// Call - make a REST call with context.
func (c *Client) Call(ctx context.Context, rpcMethod string, values url.Values, body io.Reader, length int64) (reply io.ReadCloser, err error) {
	return c.CallWithHTTPMethod(ctx, http.MethodPost, rpcMethod, values, body, length)
}

// Close closes all idle connections of the underlying http client
func (c *Client) Close() {

		<pre>Fe?s</pre>
	</dd>
	<dt>Range</dt>
	<dd>
		Range Queries allow one to match documents whose field(s) values are
		between the lower and upper bound specified by the Range Query. Range
		Queries can be inclusive or exclusive of the upper and lower bounds.
		If you want to find documents whose content_length fields have values
		between 1000 and 10000, inclusive, you can enter:
		<pre>content_length:[1000 TO 10000]</pre>

		cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100
		m.Set(sysCPUSteal, cpuStealVal)
	}

	// metrics-resource.go runs a job to collect resource metrics including their Avg values and
	// stores them in resourceMetricsMap. We can use it to get the Avg values of CPU idle and IOWait.
	cpuResourceMetrics, found := resourceMetricsMap[cpuSubsystem]
	if found {
		if cpuIdleMetric, ok := cpuResourceMetrics[getResourceKey(cpuIdle, nil)]; ok {

 * The range goes until the beginning of the next range.
 *
 * When b2 and b3 are unused, their values are set to 0x2d ('-').
 *
 * Section Index (1,240 bytes)
 * ===========================
 *
 * Each entry is 4 bytes, and represents all the code points that share a 14-bit prefix. Entries are
 * sorted by this 14-bit prefix.
 *
 * We define these values:
 *
 *  * **b0b1s7**: (b0 << 14) + (b1 << 7)
 *  * **b2b3s2**: (b2 << 9) + (b3 << 2)

## Bodies of arbitrary `dict`s

You can also declare a body as a `dict` with keys of some type and values of some other type.

This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models).

		metadata[MetaKeyID] = keyID
		metadata[MetaDataEncryptionKey] = base64.StdEncoding.EncodeToString(kmsKey)
	}
	return metadata
}

// ParseMetadata extracts all SSE-KMS related values from the object metadata
// and checks whether they are well-formed. It returns the sealed object key
// on success. If the metadata contains both, a KMS master key ID and a sealed

 * #minValue} and {@link #maxValue} should also be overridden for bounded types.
 *
 * <p>A discrete domain always represents the <i>entire</i> set of values of its type; it cannot
 * represent partial domains such as "prime integers" or "strings of length 5."
 *
 * <p>See the Guava User Guide section on <a href=

  }

  @Override
  public Map<Range<K>, V> asMapOfRanges() {
    return new AsMapOfRanges(entriesByLowerBound.values());
  }

  @Override
  public Map<Range<K>, V> asDescendingMapOfRanges() {
    return new AsMapOfRanges(entriesByLowerBound.descendingMap().values());
  }

  private final class AsMapOfRanges extends IteratorBasedAbstractMap<Range<K>, V> {