In the above example, the provided function will be called (at least) every time there is a change to a configmap.
The `ConfigMapCount` collection will produce events only when the count changes.
The framework will use generic Equals on the underlying object to determine whether or not to recompute collections.

### Picking a collection type

		if r < thresh {
			d.trackSum += area
		} else {
			d.trackSum += area * (thresh - l) / (r - l)
		}
		if d.trackSum >= d.trackMass {
			// The tracked mass now falls in a different
			// bucket. Recompute the inverse cumulative sum.
			d.setTrackMass(d.trackMass)
		}
	}
}

// setTrackMass sets the mass to track the inverse cumulative sum for.
//

	for i, p := range k.Primes {
		dst.Primes[i] = new(big.Int).Set(p)
	}
	if x := k.Precomputed.Dp; x != nil {
		dst.Precomputed.Dp = new(big.Int).Set(x)
	}
	if x := k.Precomputed.Dq; x != nil {
		dst.Precomputed.Dq = new(big.Int).Set(x)
	}
	if x := k.Precomputed.Qinv; x != nil {
		dst.Precomputed.Qinv = new(big.Int).Set(x)
	}
	return dst

				if !f.Config.splitLoad(v) {
					f.Fatalf("can't split flag generator: %s", v.LongString())
				}
			}

			// Make sure any flag arg of v is in the flags register.
			// If not, recompute it.
			for i, a := range v.Args {
				if !a.Type.IsFlags() {
					continue
				}
				if a == flag {
					continue
				}
				// Recalculate a
				c := copyFlags(a, b)
				// Update v.

type projLookupTable struct {
	points [8]projCached
}

// A precomputed lookup table for fixed-base, constant-time scalar muls.
type affineLookupTable struct {
	points [8]affineCached
}

// A dynamic lookup table for variable-base, variable-time scalar muls.
type nafLookupTable5 struct {
	points [8]projCached
}

// A precomputed lookup table for fixed-base, variable-time scalar muls.
type nafLookupTable8 struct {

/** @author Jesse Wilson */
final class Platform {
  static CharMatcher precomputeCharMatcher(CharMatcher matcher) {
    // CharMatcher.precomputed() produces CharMatchers that are maybe a little
    // faster (and that's debatable), but definitely more memory-hungry. We're
    // choosing to turn .precomputed() into a no-op in GWT, because it doesn't
    // seem to be a worthwhile tradeoff in a browser.
    return matcher;
  }

	if p1 > p2 {
		p1, p2 = p2, p1
	}

	// The lowest common ancestor is the minimum depth block
	// on the tour from p1 to p2.  We've precomputed minimum
	// depth blocks for powers-of-two subsequences of the tour.
	// Combine the right two precomputed values to get the answer.
	logS := uint(log64(int64(p2 - p1)))
	bid1 := lca.rangeMin[logS][p1]
	bid2 := lca.rangeMin[logS][p2-1<<logS+1]

First, we have a concept of a `Full` push. Only `Full` pushes will recompute `PushContext` on change; otherwise this is skipped and the last `PushContext` is re-used. Note: even when `Full`, we try to copy as much from the previous `PushContext` as possible. For example, if only a `WasmPlugin` changed, we would not recompute services indexes.

	if err != nil {
		t.Fatal(err)
	}

	// Non-Boring GenerateKey always sets CRTValues to a non-nil (possibly empty) slice.
	if k.Precomputed.CRTValues == nil {
		t.Fatalf("GenerateKey: Precomputed.CRTValues = nil")
	}
}

func TestBoringFinalizers(t *testing.T) {
	if runtime.GOOS == "nacl" || runtime.GOOS == "js" {
		// Times out on nacl and js/wasm (without BoringCrypto)

		}
		fmt.Println(c.Space, dst)
	}
	// Output:
	// YCbCr &{255 0 -10}
	// RGB &{98 218 255}
}

// This example uses RawMessage to use a precomputed JSON during marshal.
func ExampleRawMessage_marshal() {
	h := json.RawMessage(`{"precomputed": true}`)

	c := struct {
		Header *json.RawMessage `json:"header"`
		Body   string           `json:"body"`
	}{Header: &h, Body: "Hello Gophers!"}