//
// If z's precision is 0, it is changed to x's precision before the
// operation. Rounding is performed according to z's precision and
// rounding mode, but z's accuracy is not computed. Specifically, the
// result of z.Acc() is undefined.
//
// The function panics if z < 0. The value of z is undefined in that
// case.
func (z *Float) Sqrt(x *Float) *Float {
	if debugFloat {
		x.validate()
	}

	t1, _ = bits.Add(t1, uint(x1), c)
	// The quotient is either t1, t1+1, or t1+2.
	// We'll try t1 and adjust if needed.
	qq := t1
	// compute remainder r=x-d*q.
	dq1, dq0 := bits.Mul(d, qq)
	r0, b := bits.Sub(uint(x0), dq0, 0)
	r1, _ := bits.Sub(uint(x1), dq1, b)
	// The remainder we just computed is bounded above by B+d:
	// r = x1*B + x0 - d*q.
	//   = x1*B + x0 - d*⎣(x1*m+x1*B+x0)/B⎦

class KtStaticModuleDependentsProvider(private val modules: List<KtModule>) : KotlinModuleDependentsProviderBase() {
    private val directDependentsByKtModule: Map<KtModule, Set<KtModule>> by lazy {
        // Direct dependencies should be computed lazily, because the built-ins module will be reachable via module dependencies. Getting
        // the built-ins module relies on the built-ins session, which may depend on services that are registered after

import org.gradle.internal.serialize.Serializer;

import java.io.File;

/**
 * A factory for caches that contain some calculated value for a particular file. Maintains a cross-build in-memory and persistent cache of computed values. The value for a given file is updated when the content of the file changes.
 */
public interface FileContentCacheFactory {
    /**

	MOVD	$NearZero, R0
	FMOVD	R0, F2
	FABSD	F0, F3
	FMOVD	$1.0, F1	// F1 = 1.0
	FCMPD	F2, F3
	BLT	nearzero	// fabs(x) < NearZero, return 1 + x
	// argument reduction, x = k*ln2 + r,  |r| <= 0.5*ln2
	// computed as r = hi - lo for extra precision.
	FMOVD	$Log2e, F2
	FMOVD	$0.5, F3
	FNMSUBD	F0, F3, F2, F4	// Log2e*x - 0.5
	FMADDD	F0, F3, F2, F3	// Log2e*x + 0.5
	FCMPD	$0.0, F0
	FCSELD	LT, F4, F3, F3	// F3 = k

	//             = CRC(CRC(CRC(I, A), O) xor CRC(0, B), O) xor CRC(0, C)
	//
	// The castagnoliSSE42Triple function can compute CRC(I, A), CRC(0, B),
	// and CRC(0, C) efficiently.  We just need to find a way to quickly compute
	// CRC(uvwx, O) given a 4-byte initial value uvwx. We can precompute these
	// values; since we can't have a 32-bit table, we break it up into four
	// 8-bit tables:
	//

Brian Avery <******@****.***> 1598371881 -0400

	xLimbs := x.limbs[:size]
	dLimbs := d.limbs[:size]
	mLimbs := m.nat.limbs[:size]

	// Each iteration of this loop computes x = 2x + b mod m, where b is a bit
	// from y. Effectively, it left-shifts x and adds y one bit at a time,
	// reducing it every time.
	//
	// To do the reduction, each iteration computes both 2x + b and 2x + b - m.
	// The next iteration (and finally the return line) will use either result

// NewObj creates a new object of a given kind and name.
func NewObj(kind ObjKind, name string) *Object {
	return &Object{Kind: kind, Name: name}
}

// Pos computes the source position of the declaration of an object name.
// The result may be an invalid position if it cannot be computed
// (obj.Decl may be nil or not correct).
func (obj *Object) Pos() token.Pos {
	name := obj.Name
	switch d := obj.Decl.(type) {
	case *Field:

      return failure();
    }

    // result = (x - mean) * scale / sqrt(variance + epsilon) + offset
    // Let multiplier = scale / sqrt(variance + epsilon), to compute
    // (x - mean) * scale / sqrt(variance + epsilon) + offset,
    // is then to compute (x * multiplier) + (offset - mean * multiplier).

    auto epsilon = materializeEpsilon(
        bn_op.getOperation(), bn_op.getEpsilonAttr(), fp_type,