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How to use minimize method of prog Package

Best Syzkaller code snippet using prog.minimize

minimization.go

Source:minimization.go

...3package prog4import (5	"fmt"6)7// Minimize minimizes program p into an equivalent program using the equivalence8// predicate pred. It iteratively generates simpler programs and asks pred9// whether it is equal to the original program or not. If it is equivalent then10// the simplification attempt is committed and the process continues.11func Minimize(p0 *Prog, callIndex0 int, crash bool, pred0 func(*Prog, int) bool) (*Prog, int) {12	pred := func(p *Prog, callIndex int) bool {13		p.sanitizeFix()14		p.debugValidate()15		return pred0(p, callIndex)16	}17	name0 := ""18	if callIndex0 != -1 {19		if callIndex0 < 0 || callIndex0 >= len(p0.Calls) {20			panic("bad call index")21		}22		name0 = p0.Calls[callIndex0].Meta.Name23	}24	// Try to remove all calls except the last one one-by-one.25	p0, callIndex0 = removeCalls(p0, callIndex0, crash, pred)26	// Try to minimize individual args.27	for i := 0; i < len(p0.Calls); i++ {28		ctx := &minimizeArgsCtx{29			target:     p0.Target,30			p0:         &p0,31			callIndex0: callIndex0,32			crash:      crash,33			pred:       pred,34			triedPaths: make(map[string]bool),35		}36	again:37		ctx.p = p0.Clone()38		ctx.call = ctx.p.Calls[i]39		for j, field := range ctx.call.Meta.Args {40			if ctx.do(ctx.call.Args[j], field.Name, "") {41				goto again42			}43		}44	}45	if callIndex0 != -1 {46		if callIndex0 < 0 || callIndex0 >= len(p0.Calls) || name0 != p0.Calls[callIndex0].Meta.Name {47			panic(fmt.Sprintf("bad call index after minimization: ncalls=%v index=%v call=%v/%v",48				len(p0.Calls), callIndex0, name0, p0.Calls[callIndex0].Meta.Name))49		}50	}51	return p0, callIndex052}53func removeCalls(p0 *Prog, callIndex0 int, crash bool, pred func(*Prog, int) bool) (*Prog, int) {54	for i := len(p0.Calls) - 1; i >= 0; i-- {55		if i == callIndex0 {56			continue57		}58		callIndex := callIndex059		if i < callIndex {60			callIndex--61		}62		p := p0.Clone()63		p.removeCall(i)64		if !pred(p, callIndex) {65			continue66		}67		p0 = p68		callIndex0 = callIndex69	}70	return p0, callIndex071}72type minimizeArgsCtx struct {73	target     *Target74	p0         **Prog75	p          *Prog76	call       *Call77	callIndex0 int78	crash      bool79	pred       func(*Prog, int) bool80	triedPaths map[string]bool81}82func (ctx *minimizeArgsCtx) do(arg Arg, field, path string) bool {83	path += fmt.Sprintf("-%v", field)84	if ctx.triedPaths[path] {85		return false86	}87	p0 := *ctx.p088	if arg.Type().minimize(ctx, arg, path) {89		return true90	}91	if *ctx.p0 == ctx.p {92		// If minimize committed a new program, it must return true.93		// Otherwise *ctx.p0 and ctx.p will point to the same program94		// and any temp mutations to ctx.p will unintentionally affect ctx.p0.95		panic("shared program committed")96	}97	if *ctx.p0 != p0 {98		// New program was committed, but we did not start iteration anew.99		// This means we are iterating over a stale tree and any changes won't be visible.100		panic("iterating over stale program")101	}102	ctx.triedPaths[path] = true103	return false104}105func (typ *TypeCommon) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {106	return false107}108func (typ *StructType) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {109	a := arg.(*GroupArg)110	for i, innerArg := range a.Inner {111		if ctx.do(innerArg, typ.Fields[i].Name, path) {112			return true113		}114	}115	return false116}117func (typ *UnionType) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {118	a := arg.(*UnionArg)119	return ctx.do(a.Option, typ.Fields[a.Index].Name, path)120}121func (typ *PtrType) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {122	a := arg.(*PointerArg)123	if a.Res == nil {124		return false125	}126	if path1 := path + ">"; !ctx.triedPaths[path1] {127		removeArg(a.Res)128		replaceArg(a, MakeSpecialPointerArg(a.Type(), a.Dir(), 0))129		ctx.target.assignSizesCall(ctx.call)130		if ctx.pred(ctx.p, ctx.callIndex0) {131			*ctx.p0 = ctx.p132		}133		ctx.triedPaths[path1] = true134		return true135	}136	return ctx.do(a.Res, "", path)137}138func (typ *ArrayType) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {139	a := arg.(*GroupArg)140	for i := len(a.Inner) - 1; i >= 0; i-- {141		elem := a.Inner[i]142		elemPath := fmt.Sprintf("%v-%v", path, i)143		// Try to remove individual elements one-by-one.144		if !ctx.crash && !ctx.triedPaths[elemPath] &&145			(typ.Kind == ArrayRandLen ||146				typ.Kind == ArrayRangeLen && uint64(len(a.Inner)) > typ.RangeBegin) {147			ctx.triedPaths[elemPath] = true148			copy(a.Inner[i:], a.Inner[i+1:])149			a.Inner = a.Inner[:len(a.Inner)-1]150			removeArg(elem)151			ctx.target.assignSizesCall(ctx.call)152			if ctx.pred(ctx.p, ctx.callIndex0) {153				*ctx.p0 = ctx.p154			}155			return true156		}157		if ctx.do(elem, "", elemPath) {158			return true159		}160	}161	return false162}163func (typ *IntType) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {164	return minimizeInt(ctx, arg, path)165}166func (typ *FlagsType) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {167	return minimizeInt(ctx, arg, path)168}169func (typ *ProcType) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {170	if !typ.Optional() {171		// Default value for ProcType is 0 (same for all PID's).172		// Usually 0 either does not make sense at all or make different PIDs collide173		// (since we use ProcType to separate value ranges for different PIDs).174		// So don't change ProcType to 0 unless the type is explicitly marked as opt175		// (in that case we will also generate 0 anyway).176		return false177	}178	return minimizeInt(ctx, arg, path)179}180func minimizeInt(ctx *minimizeArgsCtx, arg Arg, path string) bool {181	// TODO: try to reset bits in ints182	// TODO: try to set separate flags183	if ctx.crash {184		return false185	}186	a := arg.(*ConstArg)187	def := arg.Type().DefaultArg(arg.Dir()).(*ConstArg)188	if a.Val == def.Val {189		return false190	}191	v0 := a.Val192	a.Val = def.Val193	if ctx.pred(ctx.p, ctx.callIndex0) {194		*ctx.p0 = ctx.p195		ctx.triedPaths[path] = true196		return true197	}198	a.Val = v0199	return false200}201func (typ *ResourceType) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {202	if ctx.crash {203		return false204	}205	a := arg.(*ResultArg)206	if a.Res == nil {207		return false208	}209	r0 := a.Res210	delete(a.Res.uses, a)211	a.Res, a.Val = nil, typ.Default()212	if ctx.pred(ctx.p, ctx.callIndex0) {213		*ctx.p0 = ctx.p214	} else {215		a.Res, a.Val = r0, 0216		a.Res.uses[a] = true217	}218	ctx.triedPaths[path] = true219	return true220}221func (typ *BufferType) minimize(ctx *minimizeArgsCtx, arg Arg, path string) bool {222	// TODO: try to set individual bytes to 0223	if typ.Kind != BufferBlobRand && typ.Kind != BufferBlobRange || arg.Dir() == DirOut {224		return false225	}226	a := arg.(*DataArg)227	len0 := len(a.Data())228	minLen := int(typ.RangeBegin)229	for step := len(a.Data()) - minLen; len(a.Data()) > minLen && step > 0; {230		if len(a.Data())-step >= minLen {231			a.data = a.Data()[:len(a.Data())-step]232			ctx.target.assignSizesCall(ctx.call)233			if ctx.pred(ctx.p, ctx.callIndex0) {234				continue235			}...

minimization_test.go

Source:minimization_test.go

...139			-1,140		},141		{142			"test", "64",143			"minimize$0(0x1, 0x1)\n",144			-1,145			func(p *Prog, callIndex int) bool { return len(p.Calls) == 1 },146			"minimize$0(0x1, 0xffffffffffffffff)\n",147			-1,148		},149	}150	t.Parallel()151	for ti, test := range tests {152		target, err := GetTarget(test.os, test.arch)153		if err != nil {154			t.Fatal(err)155		}156		p, err := target.Deserialize([]byte(test.orig), Strict)157		if err != nil {158			t.Fatalf("failed to deserialize original program #%v: %v", ti, err)159		}160		p1, ci := Minimize(p, test.callIndex, false, test.pred)...

minimize

Using AI Code Generation

1import (2type Prog struct {3}4func main() {5    p := Prog{1, 2}6    p.minimize()7    fmt.Println(p.i, p.j)8}9func (p *Prog) minimize() {10}11import (12type Prog struct {13}14func main() {15    p := Prog{1, 2}16    p.minimize()17    fmt.Println(p.i, p.j)18}19func (p Prog) minimize() {20}21import (22type Prog struct {23}24func main() {25    p := Prog{1, 2}26    p.minimize()27    fmt.Println(p.i, p.j)28}29func (p Prog) minimize() {30}31import (32type Prog struct {33}34func main() {35    p := Prog{1, 2}36    p.minimize()37    fmt.Println(p.i, p.j)38}39func (p *Prog) minimize() {40}41import (42type Prog struct {43}44func main() {45    p := Prog{1, 2}46    p.minimize()47    fmt.Println(p.i, p.j)48}49func (p Prog) minimize() {50}

minimize

Using AI Code Generation

1import (2func main() {3    f := func(x float64) float64 {4        return math.Pow(x, 2) - 45    }6    fmt.Println("Minimize function: x^2 - 4")7    fmt.Println("Using Newton-Raphson method")8    fmt.Println("Initial guess: 4")9    fmt.Println("Minimum value:", prog.NewtonRaphson(f, 4))10    fmt.Println("Using Golden Section method")11    fmt.Println("Initial guess: 4")12    fmt.Println("Minimum value:", prog.GoldenSection(f, 4))13}14import (15func main() {16    f := func(x float64) float64 {17        return math.Pow(x, 2) - 418    }19    fmt.Println("Minimize function: x^2 - 4")20    fmt.Println("Using Newton-Raphson method")21    fmt.Println("Initial guess: 4")22    fmt.Println("Minimum value:", prog.NewtonRaphson(f, 4))23    fmt.Println("Using Golden Section method")24    fmt.Println("Initial guess: 4")25    fmt.Println("Minimum value:", prog.GoldenSection(f, 4))26}27import (28func main() {29    f := func(x float64) float64 {30        return math.Pow(x, 2) - 431    }32    fmt.Println("Minimize function: x^2 - 4")33    fmt.Println("Using Newton-Raphson method")34    fmt.Println("Initial guess: 4")35    fmt.Println("Minimum value:", prog.NewtonRaphson(f, 4))36    fmt.Println("Using Golden Section method")37    fmt.Println("Initial guess: 4")38    fmt.Println("Minimum value:", prog.GoldenSection(f, 4))39}40import (41func main() {42    f := func(x float64) float64 {43        return math.Pow(x, 2) - 4

minimize

Using AI Code Generation

1import (2func main() {3	f := func(x float64) float64 {4		return math.Pow(x, 2) - 4*x + 45	}6	fmt.Println(prog.Minimize(f, 0, 10))7}8import (9func Minimize(f func(float64) float64, a, b float64) float64 {10	for math.Abs(b-a) > epsilon {11		c := (a + b) / 212		if f(c) < 0 {13		} else {14		}15	}16	return (a + b) / 217}18How to Use the math.Pow() Function in Go19How to Use the math.Abs() Function in Go20How to Use the math.Sqrt() Function in Go21How to Use the math.Ceil() Function in Go22How to Use the math.Floor() Function in Go23How to Use the math.Round() Function in Go24How to Use the math.Max() Function in Go25How to Use the math.Min() Function in Go26How to Use the math.Trunc() Function in Go27How to Use the math.Mod() Function in Go28How to Use the math.Remainder() Function in Go29How to Use the math.Hypot() Function in Go30How to Use the math.Cbrt() Function in Go31How to Use the math.Exp() Function in Go32How to Use the math.Exp2() Function in Go

minimize

Using AI Code Generation

1import "fmt"2func main() {3    prog1.minimize()4    fmt.Println("a=", prog1.a)5    fmt.Println("b=", prog1.b)6    fmt.Println("c=", prog1.c)7    fmt.Println("d=", prog1.d)8    fmt.Println("x=", prog1.x)9    fmt.Println("y=", prog1.y)10    fmt.Println("z=", prog1.z)11    fmt.Println("w=", prog1.w)12}13import "fmt"14func main() {15    prog1.minimize()16    fmt.Println("a=", prog1.a)17    fmt.Println("b=", prog1.b)18    fmt.Println("c=", prog1.c)19    fmt.Println("d=", prog1.d)20    fmt.Println("x=", prog1.x)21    fmt.Println("y=", prog1.y)22    fmt.Println("z=", prog1.z)23    fmt.Println("w=", prog1.w)24}25import "fmt"26func main() {27    prog1.minimize()28    fmt.Println("a=", prog1.a)29    fmt.Println("b=", prog1.b)30    fmt.Println("c=", prog1.c)31    fmt.Println("d=", prog1.d)

minimize

Using AI Code Generation

1import (2func f(x float64) float64 {3}4func df(x float64) float64 {5}6func main() {7	for i := 0; i < 10; i++ {8		x = minimize(x, f, df)9		fmt.Println("x = ", x, "f(x) = ", f(x))10	}11}12func minimize(x float64, f func(float64) float64, df func(fl

minimize

Using AI Code Generation

1import "prog"2import "fmt"3func main(){4    p := prog.NewProg()5    p.Minimize()6    fmt.Println(p)7}8type Prog struct{9}10func (p *Prog) Minimize(){11    if p.x > p.y{12    }13}14func (p *Prog) String() string{15    return fmt.Sprintf("x = %d, y = %d", p.x, p.y)16}17func NewProg() *Prog{18    return &Prog{0, 0}19}20Your name to display (optional):21Your name to display (optional):

minimize

Using AI Code Generation

1import (2func f(x, y float64) float64 {3	return math.Pow((x-2), 2) + math.Pow((y+3), 2)4}5func main() {6	min := prog{f, x0, y0, tol}.minimize()7	fmt.Println("Minimum of the function: ", min)8}9type prog struct {10	f    func(float64, float64) float6411}12func (p *prog) minimize() float64 {13	gold := (math.Sqrt(5) - 1) / 214	x1 := b - gold*(b-a)15	x2 := a + gold*(b-a)16	f1 := p.f(x1, x2)17	f2 := p.f(x2, x1)18	for math.Abs(b-a) > p.tol {19		if f1 > f2 {20			x2 = a + gold*(b-a)21			f2 = p.f(x2, x1)22		} else {23			x1 = b - gold*(b-a)24			f1 = p.f(x1, x2)25		}26	}27	p.xmin = (a + b) / 228	p.ymin = (a + b) / 229	return p.f(p.xmin, p.ymin)30}

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