How to use groupSamples method of main Package

Best Syzkaller code snippet using main.groupSamples

stats.go

Source:stats.go Github

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...89 return ret, nil90}91// The input are stat snapshots of different instances taken at the same time.92// This function groups those data points per stat types (e.g. exec total, crashes, etc.).93func groupSamples(records []StatRecord) map[string]*stats.Sample {94 ret := make(map[string]*stats.Sample)95 for _, record := range records {96 for key, value := range record {97 if ret[key] == nil {98 ret[key] = &stats.Sample{}99 }100 ret[key].Xs = append(ret[key].Xs, float64(value))101 }102 }103 return ret104}105type BugSummary struct {106 title string107 found map[string]bool108 resultsCount map[string]int // the number of run results that have found this bug109}110// If there are several instances belonging to a single checkout, we're interested in the111// set of bugs found by at least one of those instances.112func summarizeBugs(groups []RunResultGroup) ([]*BugSummary, error) {113 bugsMap := make(map[string]*BugSummary)114 for _, group := range groups {115 for _, result := range group.SyzManagerResults() {116 for _, bug := range result.Bugs {117 summary := bugsMap[bug.Title]118 if summary == nil {119 summary = &BugSummary{120 title: bug.Title,121 found: make(map[string]bool),122 resultsCount: make(map[string]int),123 }124 bugsMap[bug.Title] = summary125 }126 summary.found[group.Name] = true127 summary.resultsCount[group.Name]++128 }129 }130 }131 summaries := []*BugSummary{}132 for _, value := range bugsMap {133 summaries = append(summaries, value)134 }135 return summaries, nil136}137// For each checkout, take the union of sets of bugs found by each instance.138// Then output these unions as a single table.139func (view StatView) GenerateBugTable() (*Table, error) {140 table := NewTable("Bug")141 for _, group := range view.Groups {142 table.AddColumn(group.Name)143 }144 summaries, err := summarizeBugs(view.Groups)145 if err != nil {146 return nil, err147 }148 for _, bug := range summaries {149 for _, group := range view.Groups {150 if bug.found[group.Name] {151 table.Set(bug.title, group.Name, NewBoolCell(true))152 }153 }154 }155 return table, nil156}157func (view StatView) GenerateBugCountsTable() (*Table, error) {158 table := NewTable("Bug")159 for _, group := range view.Groups {160 table.AddColumn(group.Name)161 }162 summaries, err := summarizeBugs(view.Groups)163 if err != nil {164 return nil, err165 }166 for _, bug := range summaries {167 for _, group := range view.Groups {168 if bug.found[group.Name] {169 count := bug.resultsCount[group.Name]170 percent := float64(count) / float64(len(group.Results)) * 100.0171 value := fmt.Sprintf("%v (%.1f%%)", count, percent)172 table.Set(bug.title, group.Name, value)173 }174 }175 }176 return table, nil177}178func (group RunResultGroup) SyzManagerResults() []*SyzManagerResult {179 ret := []*SyzManagerResult{}180 for _, rawRes := range group.Results {181 res, ok := rawRes.(*SyzManagerResult)182 if ok {183 ret = append(ret, res)184 }185 }186 return ret187}188func (group RunResultGroup) SyzReproResults() []*SyzReproResult {189 ret := []*SyzReproResult{}190 for _, rawRes := range group.Results {191 res, ok := rawRes.(*SyzReproResult)192 if ok {193 ret = append(ret, res)194 }195 }196 return ret197}198func (group RunResultGroup) AvgStatRecords() []map[string]uint64 {199 ret := []map[string]uint64{}200 commonLen := group.minResultLength()201 for i := 0; i < commonLen; i++ {202 record := make(map[string]uint64)203 for key, value := range group.groupNthRecord(i) {204 record[key] = uint64(value.Median())205 }206 ret = append(ret, record)207 }208 return ret209}210func (group RunResultGroup) minResultLength() int {211 if len(group.Results) == 0 {212 return 0213 }214 results := group.SyzManagerResults()215 ret := len(results[0].StatRecords)216 for _, result := range results {217 currLen := len(result.StatRecords)218 if currLen < ret {219 ret = currLen220 }221 }222 return ret223}224func (group RunResultGroup) groupNthRecord(i int) map[string]*stats.Sample {225 records := []StatRecord{}226 for _, result := range group.SyzManagerResults() {227 records = append(records, result.StatRecords[i])228 }229 return groupSamples(records)230}231func (view StatView) StatsTable() (*Table, error) {232 return view.AlignedStatsTable("uptime")233}234func (view StatView) AlignedStatsTable(field string) (*Table, error) {235 // We assume that the stats values are nonnegative.236 var commonValue float64237 for _, group := range view.Groups {238 minLen := group.minResultLength()239 if minLen == 0 {240 continue241 }242 sampleGroup := group.groupNthRecord(minLen - 1)243 sample, ok := sampleGroup[field]...

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groupSamples

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1import (2func main() {3 var sampleArray = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}4 var sampleArray2 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}5 var sampleArray3 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}6 var sampleArray4 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}7 var sampleArray5 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}8 var sampleArray6 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}9 var sampleArray7 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}10 var sampleArray8 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}11 var sampleArray9 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}12 var sampleArray10 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}13 var sampleArray11 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}14 var sampleArray12 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}15 var sampleArray13 = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}

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groupSamples

Using AI Code Generation

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1import (2func main() {3 samples := []string{"abc", "bcd", "acef", "xyz", "az", "ba", "a", "z"}4 fmt.Println(groupSamples(samples))5}6func groupSamples(samples []string) map[string][]string {7 sortedMap := make(map[string][]string)8 for _, sample := range samples {9 sortedSample := strings.Split(sample, "")10 sort.Strings(sortedSample)11 sortedString := strings.Join(sortedSample, "")12 if _, ok := sortedMap[sortedString]; ok {13 sortedMap[sortedString] = append(sortedMap[sortedString], sample)14 } else {15 sortedMap[sortedString] = []string{sample}16 }17 }18}

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groupSamples

Using AI Code Generation

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1import "fmt"2func main() {3 s1 = append(s1, "a")4 s1 = append(s1, "b")5 s1 = append(s1, "c")6 s1 = append(s1, "d")7 s1 = append(s1, "e")8 s1 = append(s1, "f")9 s1 = append(s1, "g")10 s1 = append(s1, "h")11 s1 = append(s1, "i")12 s1 = append(s1, "j")13 s1 = append(s1, "k")14 s1 = append(s1, "l")15 s1 = append(s1, "m")16 s1 = append(s1, "n")17 s1 = append(s1, "o")18 s1 = append(s1, "p")19 s1 = append(s1, "q")20 s1 = append(s1, "r")21 s1 = append(s1, "s")22 s1 = append(s1, "t")23 s1 = append(s1, "u")24 s1 = append(s1, "v")25 s1 = append(s1, "w")26 s1 = append(s1, "x")27 s1 = append(s1, "y")28 s1 = append(s1, "z")29 s1 = append(s1, "1")30 s1 = append(s1, "2")31 s1 = append(s1, "3")32 s1 = append(s1, "4")33 s1 = append(s1, "5")34 s1 = append(s1, "6")35 s1 = append(s1, "7")36 s1 = append(s1, "8")37 s1 = append(s1, "9")38 s1 = append(s1, "0")39 s1 = append(s1, "a")40 s1 = append(s1, "b")41 s1 = append(s1, "c")42 s1 = append(s1, "d")43 s1 = append(s1, "e")44 s1 = append(s1, "f")45 s1 = append(s1, "g")46 s1 = append(s1

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groupSamples

Using AI Code Generation

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1import (2func main() {3 var samples = []int{1, 2, 3, 4, 5, 6, 7, 8, 9}4 var groups = groupSamples(samples, groupSize)5 fmt.Println(groups)6}7func groupSamples(samples []int, groupSize int) [][]int {8 for i, sample := range samples {9 group = append(group, sample)10 if (i+1)%groupSize == 0 {11 groups = append(groups, group)12 group = []int{}13 }14 }15 if len(group) != 0 {16 groups = append(groups, group)17 }18}

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groupSamples

Using AI Code Generation

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1import (2func main() {3 rand.Seed(time.Now().UnixNano())4 for i := 0; i < 10; i++ {5 samples = append(samples, [2]int{rand.Intn(100), rand.Intn(100)})6 }7 fmt.Println(samples)8 fmt.Println(groupSamples(samples))9}10import (11func main() {12 rand.Seed(time.Now().UnixNano())13 for i := 0; i < 10; i++ {14 samples = append(samples, [2]int{rand.Intn(100), rand.Intn(100)})15 }16 fmt.Println(samples)17 fmt.Println(groupSamples(samples))18}19import (20func main() {21 rand.Seed(time.Now().UnixNano())22 for i := 0; i < 10; i++ {23 samples = append(samples, [2]int{rand.Intn(100), rand.Intn(100)})24 }25 fmt.Println(samples)26 fmt.Println(groupSamples(samples))27}28import (29func main() {30 rand.Seed(time.Now().UnixNano())31 for i := 0; i < 10; i++ {32 samples = append(samples, [2]int{rand.Intn(100), rand.Intn(100)})33 }34 fmt.Println(samples)35 fmt.Println(groupSamples(samples))36}37import (38func main() {39 rand.Seed(time.Now().UnixNano())40 for i := 0; i < 10; i

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groupSamples

Using AI Code Generation

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1import (2func main() {3 var a = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}4 var b = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}5 var c = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}6 var d = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}7 var e = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}8 var f = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}9 var g = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}10 var h = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}11 var i = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15}12 var j = []int{1, 2, 3, 4, 5, 6,

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groupSamples

Using AI Code Generation

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1import (2func main() {3 fmt.Println("Hello, playground")4 samples = append(samples, Sample{1, 1})5 samples = append(samples, Sample{2, 2})6 samples = append(samples, Sample{3, 3})7 samples = append(samples, Sample{4, 4})8 samples = append(samples, Sample{5, 5})9 samples = append(samples, Sample{6, 6})10 samples = append(samples, Sample{7, 7})11 samples = append(samples, Sample{8, 8})12 samples = append(samples, Sample{9, 9})13 samples = append(samples, Sample{10, 10})14 samples = append(samples, Sample{11, 11})15 samples = append(samples, Sample{12, 12})16 samples = append(samples, Sample{13, 13})17 samples = append(samples, Sample{14, 14})18 samples = append(samples, Sample{15, 15})19 samples = append(samples, Sample{16, 16})20 samples = append(samples, Sample{17, 17})21 samples = append(samples, Sample{18, 18})22 samples = append(samples, Sample{19, 19})23 samples = append(samples, Sample{20, 20})24 samples = append(samples, Sample{21, 21})25 samples = append(samples, Sample{22, 22})26 samples = append(samples, Sample{23, 23})27 samples = append(samples, Sample{24, 24})28 samples = append(samples, Sample{25, 25})29 samples = append(samples, Sample{26, 26})30 samples = append(samples, Sample{27, 27})31 samples = append(samples, Sample{28, 28})32 samples = append(samples, Sample{29, 29})33 samples = append(samples, Sample{30, 30})34 samples = append(samples, Sample{31, 31})35 samples = append(samples, Sample{32, 32})36 samples = append(samples, Sample{33, 33})37 samples = append(samples, Sample{34, 34})38 samples = append(samples, Sample{35, 35})39 samples = append(samples, Sample{36, 36})

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groupSamples

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1import (2func main() {3 group := new(2go.Group)4 group.AddSample(1)5 group.AddSample(1)6 group.AddSample(2)7 group.AddSample(2)8 group.AddSample(2)9 group.AddSample(3)10 group.AddSample(3)11 group.AddSample(4)12 group.AddSample(4)13 group.AddSample(4)14 group.AddSample(4)15 group.GroupSamples(2)16 fmt.Println(group)17}18import (19func main() {20 group := new(2go.Group)21 group.AddSample(1)22 group.AddSample(1)23 group.AddSample(2)24 group.AddSample(2)25 group.AddSample(2)26 group.AddSample(3)27 group.AddSample(3)28 group.AddSample(4)29 group.AddSample(4)30 group.AddSample(4)31 group.AddSample(4)32 group.GroupSamples(2)33 fmt.Println(group)34}35import (36func main() {37 group := new(2go.Group)38 group.AddSample(1)39 group.AddSample(1)40 group.AddSample(2)41 group.AddSample(2)42 group.AddSample(2)43 group.AddSample(3)44 group.AddSample(3)45 group.AddSample(4)46 group.AddSample(4)47 group.AddSample(4)48 group.AddSample(4)49 group.GroupSamples(2)50 fmt.Println(group)51}

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groupSamples

Using AI Code Generation

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1import (2type dataSet struct {3}4type sample struct {5}6type decisionTree struct {7}8type node struct {9}10func readData() dataSet {11 file, err := os.Open(path)12 if err != nil {13 fmt.Println(err)14 return dataSet{}15 }16 defer file.Close()17 scanner := bufio.NewScanner(file)18 samples := []sample{}19 for scanner.Scan() {20 line := scanner.Text()21 lineSplit := strings.Split(line, ",")22 features := []float64{}23 for i := 0; i < len(lineSplit)-1; i++ {

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