}
			} else if len(tparams) < len(recvTParams) {
				// Reporting an error here is a stop-gap measure to avoid crashes in the
				// compiler when a type parameter/argument cannot be inferred later. It
				// may lead to follow-on errors (see issues go.dev/issue/51339, go.dev/issue/51343).
				// TODO(gri) find a better solution
				got := measure(len(tparams), "type parameter")

	podEvaluator := &podEvaluator{listFuncByNamespace: listFuncByNamespace, clock: clock}
	return podEvaluator
}

// podEvaluator knows how to measure usage of pods.
type podEvaluator struct {
	// knows how to list pods
	listFuncByNamespace generic.ListFuncByNamespace
	// used to track time
	clock clock.Clock
}

			// improvement here would be to somehow get a count the number of expressions in the regex or
			// how many states are in the regex state machine and use that to measure regex cost).
			// For now, we're making a guess that each expression in a regex is typically at least 4 chars
			// in length.
			regexCost := uint64(math.Ceil(float64(actualSize(args[1])) * common.RegexStringLengthCostFactor))

				}
			} else if len(tparams) < len(recvTParams) {
				// Reporting an error here is a stop-gap measure to avoid crashes in the
				// compiler when a type parameter/argument cannot be inferred later. It
				// may lead to follow-on errors (see issues go.dev/issue/51339, go.dev/issue/51343).
				// TODO(gri) find a better solution
				got := measure(len(tparams), "type parameter")

            .map(it -> (ExecutableElement) it)
            // Ensure that the elements have a stable order, as the annotation processing engine does not guarantee that for type elements.
            // The order in which the executable elements are listed should be the order in which they appear in the code but
            // we take an extra measure of care here and ensure the ordering between all elements.

// Input parameters and resulting value is number of microseconds.
func MilliCPUToQuota(milliCPU int64, period int64) (quota int64) {
	// CFS quota is measured in two values:
	//  - cfs_period_us=100ms (the amount of time to measure usage across given by period)
	//  - cfs_quota=20ms (the amount of cpu time allowed to be used across a period)
	// so in the above example, you are limited to 20% of a single CPU

	return d2
}

// DurationTracker is a simple interface for tracking functions duration,
// it is safe for concurrent use by multiple goroutines.
type DurationTracker interface {
	// Track measures time spent in the given function f and
	// aggregates measured duration using aggregateFunction.
	// if Track is invoked with f from multiple goroutines concurrently,
	// then f must be safe to be invoked concurrently by multiple goroutines.
	Track(f func())

      if (contentType != null) {
        sink.writeUtf8("Content-Type: ")
          .writeUtf8(contentType.toString())
          .write(CRLF)
      }

      // We can't measure the body's size without the sizes of its components.
      val contentLength = body.contentLength()
      if (contentLength == -1L && countBytes) {
        byteCountBuffer!!.clear()
        return -1L
      }

	// as a result, we need to measure the usage of this object for quota
	// on updates, we need to subtract the previous measured usage
	// if usage shows no change, just return since it has no impact on quota
	deltaUsage, err := evaluator.Usage(inputObject)
	if err != nil {
		return quotas, err
	}

          if ((hash1 & (1 << k)) == (hash2 & (1 << k))) {
            same[k] += 1;
          } else {
            diff[k] += 1;
          }
        }
      }
      // measure probability and assert it's within margin of error
      for (int j = 0; j < hashBits; j++) {
        double prob = (double) diff[j] / (double) (diff[j] + same[j]);
        Assert.assertEquals(0.50d, prob, epsilon);
      }