How to use convertToStats method of cover Package

Best Syzkaller code snippet using cover.convertToStats

html.go

Source:html.go Github

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...221 "CoveredPCsInFunctions",222 "TotalPCsInFunctions",223 "TotalPCsInCoveredFunctions",224}225func (rg *ReportGenerator) convertToStats(progs []Prog) ([]fileStats, error) {226 files, err := rg.prepareFileMap(progs)227 if err != nil {228 return nil, err229 }230 var data []fileStats231 for fname, file := range files {232 lines, err := parseFile(file.filename)233 if err != nil {234 fmt.Printf("failed to open/locate %s\n", file.filename)235 continue236 }237 totalFuncs := len(file.functions)238 var coveredInFunc int239 var pcsInFunc int240 var pcsInCoveredFunc int241 var coveredFunc int242 for _, function := range file.functions {243 coveredInFunc += function.covered244 if function.covered != 0 {245 pcsInCoveredFunc += function.pcs246 coveredFunc++247 }248 pcsInFunc += function.pcs249 }250 totalLines := len(lines)251 var coveredLines int252 for _, line := range file.lines {253 if len(line.progCount) != 0 {254 coveredLines++255 }256 }257 data = append(data, fileStats{258 Name: fname,259 Module: file.module,260 CoveredLines: coveredLines,261 TotalLines: totalLines,262 CoveredPCs: file.coveredPCs,263 TotalPCs: file.totalPCs,264 TotalFunctions: totalFuncs,265 CoveredFunctions: coveredFunc,266 CoveredPCsInFunctions: coveredInFunc,267 TotalPCsInFunctions: pcsInFunc,268 TotalPCsInCoveredFunctions: pcsInCoveredFunc,269 })270 }271 return data, nil272}273func (rg *ReportGenerator) DoCSVFiles(w io.Writer, progs []Prog, coverFilter map[uint32]uint32) error {274 progs = fixUpPCs(rg.target.Arch, progs, coverFilter)275 data, err := rg.convertToStats(progs)276 if err != nil {277 return err278 }279 sort.SliceStable(data, func(i, j int) bool {280 return data[i].Name < data[j].Name281 })282 writer := csv.NewWriter(w)283 defer writer.Flush()284 if err := writer.Write(csvFilesHeader); err != nil {285 return err286 }287 var d [][]string288 for _, dt := range data {289 d = append(d, []string{290 dt.Name,291 strconv.Itoa(dt.CoveredLines),292 strconv.Itoa(dt.TotalLines),293 strconv.Itoa(dt.CoveredPCs),294 strconv.Itoa(dt.TotalPCs),295 strconv.Itoa(dt.TotalFunctions),296 strconv.Itoa(dt.CoveredPCsInFunctions),297 strconv.Itoa(dt.TotalPCsInFunctions),298 strconv.Itoa(dt.TotalPCsInCoveredFunctions),299 })300 }301 return writer.WriteAll(d)302}303func groupCoverByFilePrefixes(datas []fileStats, subsystems []mgrconfig.Subsystem) map[string]map[string]string {304 d := make(map[string]map[string]string)305 for _, subsystem := range subsystems {306 var coveredLines int307 var totalLines int308 var coveredPCsInFile int309 var totalPCsInFile int310 var totalFuncs int311 var coveredFuncs int312 var coveredPCsInFuncs int313 var pcsInCoveredFuncs int314 var pcsInFuncs int315 var percentLines float64316 var percentPCsInFile float64317 var percentPCsInFunc float64318 var percentPCsInCoveredFunc float64319 var percentCoveredFunc float64320 for _, path := range subsystem.Paths {321 for _, data := range datas {322 if !strings.HasPrefix(data.Name, path) {323 continue324 }325 coveredLines += data.CoveredLines326 totalLines += data.TotalLines327 coveredPCsInFile += data.CoveredPCs328 totalPCsInFile += data.TotalPCs329 totalFuncs += data.TotalFunctions330 coveredFuncs += data.CoveredFunctions331 coveredPCsInFuncs += data.CoveredPCsInFunctions332 pcsInFuncs += data.TotalPCsInFunctions333 pcsInCoveredFuncs += data.TotalPCsInCoveredFunctions334 }335 }336 if totalLines != 0 {337 percentLines = 100.0 * float64(coveredLines) / float64(totalLines)338 }339 if totalPCsInFile != 0 {340 percentPCsInFile = 100.0 * float64(coveredPCsInFile) / float64(totalPCsInFile)341 }342 if pcsInFuncs != 0 {343 percentPCsInFunc = 100.0 * float64(coveredPCsInFuncs) / float64(pcsInFuncs)344 }345 if pcsInCoveredFuncs != 0 {346 percentPCsInCoveredFunc = 100.0 * float64(coveredPCsInFuncs) / float64(pcsInCoveredFuncs)347 }348 if totalFuncs != 0 {349 percentCoveredFunc = 100.0 * float64(coveredFuncs) / float64(totalFuncs)350 }351 d[subsystem.Name] = map[string]string{352 "name": subsystem.Name,353 "lines": fmt.Sprintf("%v / %v / %.2f%%", coveredLines, totalLines, percentLines),354 "PCsInFiles": fmt.Sprintf("%v / %v / %.2f%%", coveredPCsInFile, totalPCsInFile, percentPCsInFile),355 "Funcs": fmt.Sprintf("%v / %v / %.2f%%", coveredFuncs, totalFuncs, percentCoveredFunc),356 "PCsInFuncs": fmt.Sprintf("%v / %v / %.2f%%", coveredPCsInFuncs, pcsInFuncs, percentPCsInFunc),357 "PCsInCoveredFuncs": fmt.Sprintf("%v / %v / %.2f%%", coveredPCsInFuncs, pcsInCoveredFuncs, percentPCsInCoveredFunc),358 }359 }360 return d361}362func (rg *ReportGenerator) DoHTMLTable(w io.Writer, progs []Prog, coverFilter map[uint32]uint32) error {363 progs = fixUpPCs(rg.target.Arch, progs, coverFilter)364 data, err := rg.convertToStats(progs)365 if err != nil {366 return err367 }368 d := groupCoverByFilePrefixes(data, rg.subsystem)369 return coverTableTemplate.Execute(w, d)370}371func groupCoverByModule(datas []fileStats) map[string]map[string]string {372 d := make(map[string]map[string]string)373 coveredLines := make(map[string]int)374 totalLines := make(map[string]int)375 coveredPCsInFile := make(map[string]int)376 totalPCsInFile := make(map[string]int)377 totalFuncs := make(map[string]int)378 coveredFuncs := make(map[string]int)379 coveredPCsInFuncs := make(map[string]int)380 pcsInCoveredFuncs := make(map[string]int)381 pcsInFuncs := make(map[string]int)382 percentLines := make(map[string]float64)383 percentPCsInFile := make(map[string]float64)384 percentPCsInFunc := make(map[string]float64)385 percentPCsInCoveredFunc := make(map[string]float64)386 percentCoveredFunc := make(map[string]float64)387 for _, data := range datas {388 coveredLines[data.Module] += data.CoveredLines389 totalLines[data.Module] += data.TotalLines390 coveredPCsInFile[data.Module] += data.CoveredPCs391 totalPCsInFile[data.Module] += data.TotalPCs392 totalFuncs[data.Module] += data.TotalFunctions393 coveredFuncs[data.Module] += data.CoveredFunctions394 coveredPCsInFuncs[data.Module] += data.CoveredPCsInFunctions395 pcsInFuncs[data.Module] += data.TotalPCsInFunctions396 pcsInCoveredFuncs[data.Module] += data.TotalPCsInCoveredFunctions397 }398 for m := range totalLines {399 if totalLines[m] != 0 {400 percentLines[m] = 100.0 * float64(coveredLines[m]) / float64(totalLines[m])401 }402 if totalPCsInFile[m] != 0 {403 percentPCsInFile[m] = 100.0 * float64(coveredPCsInFile[m]) / float64(totalPCsInFile[m])404 }405 if pcsInFuncs[m] != 0 {406 percentPCsInFunc[m] = 100.0 * float64(coveredPCsInFuncs[m]) / float64(pcsInFuncs[m])407 }408 if pcsInCoveredFuncs[m] != 0 {409 percentPCsInCoveredFunc[m] = 100.0 * float64(coveredPCsInFuncs[m]) / float64(pcsInCoveredFuncs[m])410 }411 if totalFuncs[m] != 0 {412 percentCoveredFunc[m] = 100.0 * float64(coveredFuncs[m]) / float64(totalFuncs[m])413 }414 lines := fmt.Sprintf("%v / %v / %.2f%%", coveredLines[m], totalLines[m], percentLines[m])415 pcsInFiles := fmt.Sprintf("%v / %v / %.2f%%", coveredPCsInFile[m], totalPCsInFile[m], percentPCsInFile[m])416 funcs := fmt.Sprintf("%v / %v / %.2f%%", coveredFuncs[m], totalFuncs[m], percentCoveredFunc[m])417 pcsInFuncs := fmt.Sprintf("%v / %v / %.2f%%", coveredPCsInFuncs[m], pcsInFuncs[m], percentPCsInFunc[m])418 covedFuncs := fmt.Sprintf("%v / %v / %.2f%%", coveredPCsInFuncs[m], pcsInCoveredFuncs[m], percentPCsInCoveredFunc[m])419 d[m] = map[string]string{420 "name": m,421 "lines": lines,422 "PCsInFiles": pcsInFiles,423 "Funcs": funcs,424 "PCsInFuncs": pcsInFuncs,425 "PCsInCoveredFuncs": covedFuncs,426 }427 }428 return d429}430func (rg *ReportGenerator) DoModuleCover(w io.Writer, progs []Prog, coverFilter map[uint32]uint32) error {431 progs = fixUpPCs(rg.target.Arch, progs, coverFilter)432 data, err := rg.convertToStats(progs)433 if err != nil {434 return err435 }436 d := groupCoverByModule(data)437 return coverTableTemplate.Execute(w, d)438}439var csvHeader = []string{440 "Filename",441 "Function",442 "Covered PCs",443 "Total PCs",444}445func (rg *ReportGenerator) DoCSV(w io.Writer, progs []Prog, coverFilter map[uint32]uint32) error {446 progs = fixUpPCs(rg.target.Arch, progs, coverFilter)...

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convertToStats

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1import (2func main() {3 imageFile, err := os.Open("test.png")4 if err != nil {5 fmt.Println("Error in opening image file")6 }7 defer imageFile.Close()8 image, _, err := image.Decode(imageFile)9 if err != nil {10 fmt.Println("Error in decoding image")11 }12 gray := image.NewGray(image.Bounds())13 for i := 0; i < image.Bounds().Max.X; i++ {14 for j := 0; j < image.Bounds().Max.Y; j++ {15 gray.Set(i, j, image.At(i, j))16 }17 }18 imageFile, err = os.Create("test2.png")19 if err != nil {20 fmt.Println("Error in creating image file")21 }22 defer imageFile.Close()23 png.Encode(imageFile, gray)24 gray = image.NewGray(image.Bounds())25 for i := 0; i < image.Bounds().Max.X; i++ {26 for j := 0; j < image.Bounds().Max.Y; j++ {27 gray.Set(i, j, image.At(i, j))28 }29 }30 imageFile, err = os.Create("test2.png")31 if err != nil {32 fmt.Println("Error in creating image file")33 }34 defer imageFile.Close()35 png.Encode(imageFile, gray)36 gray = image.NewGray(image.Bounds())37 for i := 0; i < image.Bounds().Max.X;

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convertToStats

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1import (2func main() {3 f, err := os.Open("2.jpg")4 if err != nil {5 log.Fatal(err)6 }7 defer f.Close()8 img, err := jpeg.Decode(f)9 if err != nil {10 log.Fatal(err)11 }12 bounds := img.Bounds()13 for y := bounds.Min.Y; y < bounds.Max.Y; y++ {14 for x := bounds.Min.X; x < bounds.Max.X; x++ {15 r, g, b, a := img.At(x, y).RGBA()16 img.Set(x, y, color.RGBA{17 R: uint8(r),18 G: uint8(g),19 B: uint8(b),20 A: uint8(a),21 })22 }23 }24 f, err = os.Create("2.jpg")25 if err != nil {26 log.Fatal(err)27 }28 defer f.Close()29 jpeg.Encode(f, img, &jpeg.Options{jpeg.DefaultQuality})

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convertToStats

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1import (2func main() {3 file, err := os.Open("image.jpeg")4 if err != nil {5 log.Fatal(err)6 }7 defer file.Close()8 img, err := jpeg.Decode(file)9 if err != nil {10 log.Fatal(err)11 }12 gray := image.NewGray(img.Bounds())13 for x := img.Bounds().Min.X; x < img.Bounds().Max.X; x++ {14 for y := img.Bounds().Min.Y; y < img.Bounds().Max.Y; y++ {15 gray.Set(x, y, img.At(x, y))16 }17 }18 out, err := os.Create("grayscale.jpeg")19 if err != nil {20 log.Fatal(err)21 }22 defer out.Close()23 jpeg.Encode(out, gray, nil)24 fmt.Println("Successfully converted image to grayscale")25}

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convertToStats

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1import (2func main() {3 img, err := os.Open("image.png")4 if err != nil {5 fmt.Println(err)6 }7 defer img.Close()8 image, err := png.Decode(img)9 if err != nil {10 fmt.Println(err)11 }12 stats := convertToStats(image)13 fmt.Println(stats)14}15func convertToStats(image image.Image) []float64 {16 width := image.Bounds().Dx()17 height := image.Bounds().Dy()18 stats := make([][]float64, height)19 for i := 0; i < height; i++ {20 stats[i] = make([]float64, width)21 }22 for i := 0; i < height; i++ {23 for j := 0; j < width; j++ {24 color := image.At(i, j)25 r, g, b, _ := color.RGBA()26 stats[i][j] = (float64(r) + float64(g) + float64(b)) / 327 }28 }29}

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convertToStats

Using AI Code Generation

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1import (2type cover struct {3}4func (c cover) convertToStats() {5 fmt.Println("In convertToStats method of cover class")6}7func main() {8 c := cover{coverType: "Hard Cover"}9 m := reflect.ValueOf(&c).MethodByName("convertToStats")10 args := make([]reflect.Value, 0)11 m.Call(args)12}13import (14type cover struct {15}16func (c cover) convertToStats() {17 fmt.Println("In convertToStats method of cover class")18}19func main() {20 c := cover{coverType: "Hard Cover"}21 m := reflect.ValueOf(&c).MethodByName("convertToStats")22 args := make([]reflect.Value, 0)23 m.Call(args)24}25import (26type cover struct {27}28func (c cover) convertToStats() {29 fmt.Println("In convertToStats method of cover class")30}31func main() {32 c := cover{coverType: "Hard Cover"}33 m := reflect.ValueOf(&c).MethodByName("convertToStats")34 args := make([]reflect.Value, 0)35 m.Call(args)36}37import (38type cover struct {39}40func (c cover) convertToStats() {41 fmt.Println("In convertToStats method of cover class")42}43func main() {44 c := cover{coverType: "Hard Cover"}45 m := reflect.ValueOf(&c).MethodByName("convertToStats")46 args := make([]reflect.Value, 0)47 m.Call(args)48}

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convertToStats

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1import (2type stats struct {3}4type cover struct {5}6func (c cover) convertToStats() stats {7 for _, n := range c.numbers {8 if n < result.min {9 }10 if n > result.max {11 }12 }13 result.mean = sum / float64(len(c.numbers))14}15func main() {16 c := cover{numbers: []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}}17 s := c.convertToStats()18 fmt.Println(s)19}20import (21type stats struct {22}23type cover struct {24}25func (c cover) convertToStats() stats {26 for _, n := range c.numbers {27 if n < result.min {28 }29 if n > result.max {30 }31 }32 result.mean = sum / float64(len(c.numbers))33}34func main() {35 c := cover{numbers: []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}}36 s := c.convertToStats()37 fmt.Println(s)38}39import (40type stats struct {41}42type cover struct {43}44func (

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convertToStats

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1import (2func main() {3 var inputArray = strings.Split(input, ",")4 var intArray = make([]int, len(inputArray))5 for i := 0; i < len(inputArray); i++ {6 intArray[i], _ = strconv.Atoi(inputArray[i])7 }8 var stats = convertToStats(intArray)9 fmt.Println("min value:", stats.min)10 fmt.Println("max value:", stats.max)11 fmt.Println("average value:", stats.avg)12}13type Stats struct {14}15func convertToStats(array []int) Stats {16 for i := 0; i < len(array); i++ {17 if array[i] < min {18 }19 if array[i] > max {20 }21 }22 var avg = float64(sum) / float64(len(array))23 return Stats{min, max, avg}24}

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convertToStats

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1import (2func main() {3 c := cover.Cover{Width: 10, Height: 10}4 stats := c.ConvertToStats()5 fmt.Println(stats)6}

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convertToStats

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1import (2func main() {3 cover1 := cover.NewCover("cover1", 3, 3, 3)4 cover2 := cover.NewCover("cover2", 2, 2, 2)5 cover3 := cover.NewCover("cover3", 1, 1, 1)6 cover4 := cover.NewCover("cover4", 1, 2, 3)7 cover5 := cover.NewCover("cover5", 3, 2, 1)8 cover6 := cover.NewCover("cover6", 1, 1, 1)9 cover7 := cover.NewCover("cover7", 1, 1, 1)10 cover8 := cover.NewCover("cover8", 1, 1, 1)11 cover9 := cover.NewCover("cover9", 1, 1, 1)12 cover10 := cover.NewCover("cover10", 1, 1, 1)13 covers := [10]cover.Cover{*cover1, *cover2, *cover3, *cover4, *cover5, *cover6, *cover7, *cover8, *cover9, *cover10}14 stats := cover.ConvertToStats(covers)15 fmt.Println(stats)16}

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