"haiti":                                "\U0001f1ed\U0001f1f9",
	"hamburger":                            "\U0001f354",
	"hammer":                               "\U0001f528",
	"hammer_and_pick":                      "\u2692\ufe0f",
	"hammer_and_wrench":                    "\U0001f6e0\ufe0f",
	"hamster":                              "\U0001f439",
	"hand":                                 "\u270b",

		racewritepc(unsafe.Pointer(h), callerpc, abi.FuncPCABIInternal(mapassign_fast64))
	}
	if h.flags&hashWriting != 0 {
		fatal("concurrent map writes")
	}
	hash := t.Hasher(noescape(unsafe.Pointer(&key)), uintptr(h.hash0))

	// Set hashWriting after calling t.hasher for consistency with mapassign.
	h.flags ^= hashWriting

	if h.buckets == nil {
		h.buckets = newobject(t.Bucket) // newarray(t.bucket, 1)
	}

again:

// The result will be 0 if a == b, -1 if a < b, and +1 if a > b.
//
// Use Compare when you need to perform a three-way comparison (with
// slices.SortFunc, for example). It is usually clearer and always faster
// to use the built-in string comparison operators ==, <, >, and so on.
func Compare(a, b string) int {
	return bytealg.CompareString(a, b)

	}
	if cmode != coverage.CtrModeAtomic {
		return fmt.Errorf("ClearCounters invoked for program built with -covermode=%s (please use -covermode=atomic)", cmode.String())
	}

	// Implementation note: this function would be faster and simpler
	// if we could just zero out the entire counter array, but for the
	// moment we go through and zero out just the slots in the array
	// corresponding to the counter values. We do this to avoid the

}

func (r *replace) LogValue() Value { return r.v }

type panickingLogValue struct{}

func (panickingLogValue) LogValue() Value { panic("bad") }

// A Value with "unsafe" strings is significantly faster:
// safe:  1785 ns/op, 0 allocs
// unsafe: 690 ns/op, 0 allocs

// Run this with and without -tags unsafe_kvs to compare.
func BenchmarkUnsafeStrings(b *testing.B) {
	b.ReportAllocs()
	dst := make([]Value, 100)

		return nil, false, nil
	}

	return encryptionConfiguration, true, nil
}

// minKMSPluginCloseGracePeriod can be lowered in unit tests to make the health check poll faster
var minKMSPluginCloseGracePeriod = 10 * time.Second

func (d *DynamicEncryptionConfigContent) validateNewTransformersHealth(
	ctx context.Context,
	kmsPluginHealthzCheck healthz.HealthChecker,

	//
	// 	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
	// 		such that d ≤ (2^(N+L) mod d) + 2^L.
	// 	end if
	//
	// [1] "Faster Remainder by Direct Computation: Applications to
	// Compilers and Software Libraries" Daniel Lemire, Owen Kaser,
	// Nathan Kurz arXiv:1902.01961
	//
	// To minimize the risk of introducing errors, we implement the

// where x = x1/z1² and y = y1/z1³. The greatest speedups come when the whole
// calculation can be performed within the transform (as in ScalarMult and
// ScalarBaseMult). But even for Add and Double, it's faster to apply and
// reverse the transform than to operate in affine coordinates.

// polynomial returns x³ - 3x + b.
func (curve *CurveParams) polynomial(x *big.Int) *big.Int {
	x3 := new(big.Int).Mul(x, x)
	x3.Mul(x3, x)

func NewHashTrieMap[K, V comparable]() *HashTrieMap[K, V] {
	var m map[K]V
	mapType := abi.TypeOf(m).MapType()
	ht := &HashTrieMap[K, V]{
		root:     newIndirectNode[K, V](nil),
		keyHash:  mapType.Hasher,
		keyEqual: mapType.Key.Equal,
		valEqual: mapType.Elem.Equal,
		seed:     uintptr(rand.Uint64()),
	}
	return ht
}

type hashFunc func(unsafe.Pointer, uintptr) uintptr

		racewritepc(unsafe.Pointer(h), callerpc, abi.FuncPCABIInternal(mapassign_fast32))
	}
	if h.flags&hashWriting != 0 {
		fatal("concurrent map writes")
	}
	hash := t.Hasher(noescape(unsafe.Pointer(&key)), uintptr(h.hash0))

	// Set hashWriting after calling t.hasher for consistency with mapassign.
	h.flags ^= hashWriting

	if h.buckets == nil {
		h.buckets = newobject(t.Bucket) // newarray(t.bucket, 1)
	}

again: