//
// Render plot progressively so rough outline is visible quickly even
// for very complex MUTs. Start by computing just a few window sizes
// and then add more window sizes.
//
// Consider using sampling to compute an approximate MUT. This would
// work by sampling the mutator utilization at randomly selected
// points in time in the trace to build an empirical distribution. We
// could potentially put confidence intervals on these estimates and

	// can compute n / d as ⌊n * c / 2^F⌋, where c is ⌈2^F / d⌉ and F is
	// computed with:
	//
	// 	Algorithm 2: Algorithm to select the number of fractional bits
	// 	and the scaled approximate reciprocal in the case of unsigned
	// 	integers.
	//
	// 	if d is a power of two then
	// 		Let F ← log₂(d) and c = 1.
	// 	else
	// 		Let F ← N + L where L is the smallest integer

}

type Reporter struct {
	mu sync.RWMutex
	// map from connection id to latest nonce
	status map[string]string
	// map from nonce to connection ids for which it is current
	// using map[string]struct to approximate a hashset
	reverseStatus          map[string]sets.String
	inProgressResources    map[string]*inProgressEntry
	client                 v1.ConfigMapInterface
	cm                     *corev1.ConfigMap

  fun values(name: String): List<String> = commonValues(name)

  /**
   * Returns the number of bytes required to encode these headers using HTTP/1.1. This is also the
   * approximate size of HTTP/2 headers before they are compressed with HPACK. This value is
   * intended to be used as a metric: smaller headers are more efficient to encode and transmit.
   */
  fun byteCount(): Long {

  // Converts from read/write state that relates ops with the same parallel id
  // to a set of last accesses for use with other parallel ids. Reads/writes
  // between parallel ids are conservatively approximated as writes.
  absl::flat_hash_set<Operation*> GetLastWrites(ResourceId resource_id);

  // Sets the read/write state for ops within the same parallel id.
  void SetLastWrites(ResourceId resource_id,

   * that minimizes the need for remapping as {@code buckets} grows. That is, {@code
   * consistentHash(h, n)} equals:
   *
   * <ul>
   *   <li>{@code n - 1}, with approximate probability {@code 1/n}
   *   <li>{@code consistentHash(h, n - 1)}, otherwise (probability {@code 1 - 1/n})
   * </ul>
   *

		lo, cc := bits.Add(uint(z0), uint(c), 0)
		c, z[i] = Word(cc), Word(lo)
		c += z1
	}
	return
}

// q = ( x1 << _W + x0 - r)/y. m = floor(( _B^2 - 1 ) / d - _B). Requiring x1<y.
// An approximate reciprocal with a reference to "Improved Division by Invariant Integers
// (IEEE Transactions on Computers, 11 Jun. 2010)"
func divWW(x1, x0, y, m Word) (q, r Word) {
	s := nlz(y)
	if s != 0 {
		x1 = x1<<s | x0>>(_W-s)

   * that minimizes the need for remapping as {@code buckets} grows. That is, {@code
   * consistentHash(h, n)} equals:
   *
   * <ul>
   *   <li>{@code n - 1}, with approximate probability {@code 1/n}
   *   <li>{@code consistentHash(h, n - 1)}, otherwise (probability {@code 1 - 1/n})
   * </ul>
   *

        pattern ^(docker|{{ fluentd_container_runtime_service }}|kubelet|node-problem-detector)\.service$
      </exclude>
    </filter>
    # END_NODE_JOURNAL
  monitoring.conf: |-
    # This source is used to acquire approximate process start timestamp,
    # which purpose is explained before the corresponding output plugin.
    <source>
      @type exec
      command /bin/sh -c 'date +%s'
      tag process_start

        pattern ^(docker|{{ fluentd_container_runtime_service }}|kubelet|node-problem-detector)\.service$
      </exclude>
    </filter>
    # END_NODE_JOURNAL
  monitoring.conf: |-
    # This source is used to acquire approximate process start timestamp,
    # which purpose is explained before the corresponding output plugin.
    <source>
      @type exec
      command /bin/sh -c 'date +%s'
      tag process_start