mirror of
https://github.com/ralsina/tartrazine.git
synced 2024-09-20 15:31:21 +00:00
387 lines
8.9 KiB
Go
387 lines
8.9 KiB
Go
package main
|
|
|
|
import (
|
|
"bufio"
|
|
"bytes"
|
|
"encoding/csv"
|
|
"flag"
|
|
"fmt"
|
|
"io/ioutil"
|
|
"log"
|
|
"math"
|
|
"os"
|
|
"path/filepath"
|
|
"runtime"
|
|
"sort"
|
|
"strconv"
|
|
"strings"
|
|
)
|
|
|
|
const (
|
|
// functions benchmarked
|
|
getLanguageFunc = "GetLanguage()"
|
|
classifyFunc = "Classify()"
|
|
modelineFunc = "GetLanguagesByModeline()"
|
|
filenameFunc = "GetLanguagesByFilename()"
|
|
shebangFunc = "GetLanguagesByShebang()"
|
|
extensionFunc = "GetLanguagesByExtension()"
|
|
contentFunc = "GetLanguagesByContent()"
|
|
|
|
// benchmark's outputs
|
|
enryTotalBench = "enry_total.bench"
|
|
enrySamplesBench = "enry_samples.bench"
|
|
linguistTotalBench = "linguist_total.bench"
|
|
linguistSamplesBench = "linguist_samples.bench"
|
|
|
|
// files to generate
|
|
enryTotalCSV = "enry-total.csv"
|
|
enrySamplesCSV = "enry-samples.csv"
|
|
linguistTotalCSV = "linguist-total.csv"
|
|
linguistSamplesCSV = "linguist-samples.csv"
|
|
|
|
// files to generate with flag distribution
|
|
enryDistributionCSV = "enry-distribution.csv"
|
|
linguistDistributionCSV = "linguist-distribution.csv"
|
|
)
|
|
|
|
var (
|
|
// flags
|
|
distribution bool
|
|
outDir string
|
|
|
|
enryFunctions = []string{getLanguageFunc, classifyFunc, modelineFunc, filenameFunc, shebangFunc, extensionFunc, contentFunc}
|
|
distributionIntervals = []string{"1us-10us", "10us-100us", "100us-1ms", "1ms-10ms", "10ms-100ms"}
|
|
)
|
|
|
|
func main() {
|
|
flag.BoolVar(&distribution, "distribution", false, "generate enry-distribuition.csv and linguist-distribution.csv")
|
|
flag.StringVar(&outDir, "outdir", "", "path to leave csv files")
|
|
flag.Parse()
|
|
|
|
if distribution {
|
|
generateDistributionCSV()
|
|
return
|
|
}
|
|
|
|
generateCSV()
|
|
}
|
|
|
|
func generateDistributionCSV() {
|
|
CSVFiles := []struct {
|
|
in string
|
|
out string
|
|
tool string
|
|
}{
|
|
{in: enrySamplesCSV, out: enryDistributionCSV, tool: "enry"},
|
|
{in: linguistSamplesCSV, out: linguistDistributionCSV, tool: "linguist"},
|
|
}
|
|
|
|
for _, CSVFile := range CSVFiles {
|
|
f, err := os.Open(CSVFile.in)
|
|
if err != nil {
|
|
log.Println(err)
|
|
continue
|
|
}
|
|
defer f.Close()
|
|
|
|
r := csv.NewReader(f)
|
|
CSVSamples, err := r.ReadAll()
|
|
if err != nil {
|
|
log.Println(err)
|
|
continue
|
|
}
|
|
|
|
CSVDistribution, err := buildDistribution(CSVSamples[1:], CSVFile.tool)
|
|
if err != nil {
|
|
log.Println(err)
|
|
continue
|
|
}
|
|
|
|
if err := writeCSV(CSVDistribution, filepath.Join(outDir, CSVFile.out)); err != nil {
|
|
log.Println(err)
|
|
continue
|
|
}
|
|
}
|
|
}
|
|
|
|
func buildDistribution(CSVSamples [][]string, tool string) ([][]string, error) {
|
|
count := make(map[string]int, len(distributionIntervals))
|
|
for _, row := range CSVSamples {
|
|
if row[1] != getLanguageFunc {
|
|
continue
|
|
}
|
|
|
|
num, err := strconv.ParseFloat(row[len(row)-1], 64)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
arrangeByTime(count, num)
|
|
}
|
|
|
|
CSVDistribution := make([][]string, 0, len(count)+1)
|
|
firstLine := []string{"timeInterval", tool, "numberOfFiles"}
|
|
CSVDistribution = append(CSVDistribution, firstLine)
|
|
for _, interval := range distributionIntervals {
|
|
number := strconv.FormatInt(int64(count[interval]), 10)
|
|
row := []string{interval, tool, number}
|
|
CSVDistribution = append(CSVDistribution, row)
|
|
}
|
|
|
|
printDistributionInfo(count, tool)
|
|
return CSVDistribution, nil
|
|
}
|
|
|
|
func printDistributionInfo(count map[string]int, tool string) {
|
|
total := 0
|
|
for _, v := range count {
|
|
total += v
|
|
}
|
|
|
|
fmt.Println(tool, "files", total)
|
|
fmt.Println("Distribution")
|
|
for _, interval := range distributionIntervals {
|
|
fmt.Println("\t", interval, count[interval])
|
|
}
|
|
|
|
fmt.Println("Percentage")
|
|
for _, interval := range distributionIntervals {
|
|
p := (float64(count[interval]) / float64(total)) * 100.00
|
|
fmt.Printf("\t %s %f%%\n", interval, p)
|
|
}
|
|
|
|
fmt.Printf("\n\n")
|
|
}
|
|
|
|
func arrangeByTime(count map[string]int, num float64) {
|
|
switch {
|
|
case num > 1000.00 && num <= 10000.00:
|
|
count[distributionIntervals[0]]++
|
|
case num > 10000.00 && num <= 100000.00:
|
|
count[distributionIntervals[1]]++
|
|
case num > 100000.00 && num <= 1000000.00:
|
|
count[distributionIntervals[2]]++
|
|
case num > 1000000.00 && num <= 10000000.00:
|
|
count[distributionIntervals[3]]++
|
|
case num > 10000000.00 && num <= 100000000.00:
|
|
count[distributionIntervals[4]]++
|
|
}
|
|
}
|
|
|
|
func writeCSV(CSVData [][]string, outPath string) error {
|
|
out, err := os.Create(outPath)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
w := csv.NewWriter(out)
|
|
w.WriteAll(CSVData)
|
|
|
|
if err := w.Error(); err != nil {
|
|
return err
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
type parse func(data []byte, tool string) ([][]string, error)
|
|
|
|
func generateCSV() {
|
|
bmFiles := []struct {
|
|
in string
|
|
out string
|
|
tool string
|
|
parse parse
|
|
}{
|
|
{in: enryTotalBench, out: enryTotalCSV, tool: "enry", parse: parseTotal},
|
|
{in: linguistTotalBench, out: linguistTotalCSV, tool: "linguist", parse: parseTotal},
|
|
{in: enrySamplesBench, out: enrySamplesCSV, tool: "enry", parse: parseSamples},
|
|
{in: linguistSamplesBench, out: linguistSamplesCSV, tool: "linguist", parse: parseSamples},
|
|
}
|
|
|
|
for _, bmFile := range bmFiles {
|
|
buf, err := ioutil.ReadFile(bmFile.in)
|
|
if err != nil {
|
|
log.Println(err)
|
|
continue
|
|
}
|
|
|
|
info, err := bmFile.parse(buf, bmFile.tool)
|
|
if err != nil {
|
|
log.Println(err)
|
|
continue
|
|
}
|
|
|
|
if err := writeCSV(info, filepath.Join(outDir, bmFile.out)); err != nil {
|
|
log.Println(err)
|
|
continue
|
|
}
|
|
}
|
|
}
|
|
|
|
func parseTotal(data []byte, tool string) ([][]string, error) {
|
|
const totalLine = "_TOTAL"
|
|
parsedInfo := map[string][]string{}
|
|
buf := bufio.NewScanner(bytes.NewReader(data))
|
|
for buf.Scan() {
|
|
line := buf.Text()
|
|
if strings.Contains(line, totalLine) {
|
|
split := strings.Fields(line)
|
|
row, err := getRow(split, tool)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
parsedInfo[row[0]] = row
|
|
}
|
|
}
|
|
|
|
if err := buf.Err(); err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
firstLine := []string{"function", "tool", "iterations", "ns/op"}
|
|
return prepareInfoForCSV(parsedInfo, firstLine), nil
|
|
}
|
|
|
|
func getRow(line []string, tool string) ([]string, error) {
|
|
row := make([]string, 0, 3)
|
|
for _, function := range enryFunctions {
|
|
if strings.Contains(line[0], function) {
|
|
row = append(row, function)
|
|
break
|
|
}
|
|
}
|
|
|
|
row = append(row, tool)
|
|
iterations := line[1]
|
|
row = append(row, iterations)
|
|
|
|
average, err := getAverage(line)
|
|
if err != nil {
|
|
return nil, err
|
|
|
|
}
|
|
|
|
row = append(row, average)
|
|
return row, nil
|
|
}
|
|
|
|
func getAverage(line []string) (string, error) {
|
|
average := line[len(line)-1]
|
|
if !strings.HasSuffix(average, ")") {
|
|
return line[2], nil
|
|
}
|
|
|
|
totalTime := strings.Trim(average, "() ")
|
|
time, err := strconv.ParseFloat(totalTime, 64)
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
|
|
iterations := line[1]
|
|
i, err := strconv.ParseFloat(iterations, 64)
|
|
if err != nil {
|
|
return "", err
|
|
}
|
|
|
|
avg := (time * math.Pow10(9)) / i
|
|
return fmt.Sprintf("%d", int(avg)), nil
|
|
}
|
|
|
|
func prepareInfoForCSV(parsedInfo map[string][]string, firstLine []string) [][]string {
|
|
info := createInfoWithFirstLine(firstLine, len(parsedInfo))
|
|
for _, function := range enryFunctions {
|
|
info = append(info, parsedInfo[function])
|
|
}
|
|
|
|
return info
|
|
}
|
|
|
|
func createInfoWithFirstLine(firstLine []string, sliceLength int) (info [][]string) {
|
|
if len(firstLine) > 0 {
|
|
info = make([][]string, 0, sliceLength+1)
|
|
info = append(info, firstLine)
|
|
} else {
|
|
info = make([][]string, 0, sliceLength)
|
|
}
|
|
|
|
return
|
|
}
|
|
|
|
type enryFuncs map[string][]string
|
|
|
|
func newEnryFuncs() enryFuncs {
|
|
return enryFuncs{
|
|
getLanguageFunc: nil,
|
|
classifyFunc: nil,
|
|
modelineFunc: nil,
|
|
filenameFunc: nil,
|
|
shebangFunc: nil,
|
|
extensionFunc: nil,
|
|
contentFunc: nil,
|
|
}
|
|
}
|
|
|
|
func parseSamples(data []byte, tool string) ([][]string, error) {
|
|
const sampleLine = "SAMPLE_"
|
|
parsedInfo := map[string]enryFuncs{}
|
|
buf := bufio.NewScanner(bytes.NewReader(data))
|
|
for buf.Scan() {
|
|
line := buf.Text()
|
|
if strings.Contains(line, sampleLine) {
|
|
split := strings.Fields(line)
|
|
name := getSampleName(split[0])
|
|
if _, ok := parsedInfo[name]; !ok {
|
|
parsedInfo[name] = newEnryFuncs()
|
|
}
|
|
|
|
row := make([]string, 0, 4)
|
|
row = append(row, name)
|
|
r, err := getRow(split, tool)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
row = append(row, r...)
|
|
function := row[1]
|
|
parsedInfo[name][function] = row
|
|
}
|
|
}
|
|
|
|
if err := buf.Err(); err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
firstLine := []string{"file", "function", "tool", "iterations", "ns/op"}
|
|
return prepareSamplesInfoForCSV(parsedInfo, firstLine), nil
|
|
}
|
|
|
|
func getSampleName(s string) string {
|
|
start := strings.Index(s, "SAMPLE_") + len("SAMPLE_")
|
|
suffix := fmt.Sprintf("-%d", runtime.GOMAXPROCS(-1))
|
|
name := strings.TrimSuffix(s[start:], suffix)
|
|
return name
|
|
}
|
|
|
|
func prepareSamplesInfoForCSV(parsedInfo map[string]enryFuncs, firstLine []string) [][]string {
|
|
info := createInfoWithFirstLine(firstLine, len(parsedInfo)*len(enryFunctions))
|
|
orderedKeys := sortKeys(parsedInfo)
|
|
for _, path := range orderedKeys {
|
|
sampleInfo := prepareInfoForCSV(parsedInfo[path], nil)
|
|
info = append(info, sampleInfo...)
|
|
}
|
|
|
|
return info
|
|
}
|
|
|
|
func sortKeys(parsedInfo map[string]enryFuncs) []string {
|
|
keys := make([]string, 0, len(parsedInfo))
|
|
for key := range parsedInfo {
|
|
keys = append(keys, key)
|
|
}
|
|
|
|
sort.Strings(keys)
|
|
return keys
|
|
}
|