Use upstream gocyclo. (#1739)

Author: ldez

go.mod

@@ -16,14 +16,14 @@ require (
 	github.com/denis-tingajkin/go-header v0.4.2
 	github.com/esimonov/ifshort v1.0.1
 	github.com/fatih/color v1.10.0
+	github.com/fzipp/gocyclo v0.3.1
 	github.com/go-critic/go-critic v0.5.4
 	github.com/go-xmlfmt/xmlfmt v0.0.0-20191208150333-d5b6f63a941b
 	github.com/gofrs/flock v0.8.0
 	github.com/golangci/check v0.0.0-20180506172741-cfe4005ccda2
 	github.com/golangci/dupl v0.0.0-20180902072040-3e9179ac440a
 	github.com/golangci/errcheck v0.0.0-20181223084120-ef45e06d44b6
 	github.com/golangci/go-misc v0.0.0-20180628070357-927a3d87b613
-	github.com/golangci/gocyclo v0.0.0-20180528144436-0a533e8fa43d
 	github.com/golangci/gofmt v0.0.0-20190930125516-244bba706f1a
 	github.com/golangci/ineffassign v0.0.0-20190609212857-42439a7714cc
 	github.com/golangci/lint-1 v0.0.0-20191013205115-297bf364a8e0

go.sum

@@ -1,4 +1,3 @@
-// nolint:dupl
 package golinters
 
 import (

pkg/golinters/gocognit.go

@@ -1,12 +1,10 @@
-// nolint:dupl
 package golinters
 
 import (
 	"fmt"
-	"sort"
 	"sync"
 
-	gocycloAPI "github.com/golangci/gocyclo/pkg/gocyclo"
+	"github.com/fzipp/gocyclo"
 	"golang.org/x/tools/go/analysis"
 
 	"github.com/golangci/golangci-lint/pkg/golinters/goanalysis"
@@ -31,24 +29,18 @@ func NewGocyclo() *goanalysis.Linter {
 		nil,
 	).WithContextSetter(func(lintCtx *linter.Context) {
 		analyzer.Run = func(pass *analysis.Pass) (interface{}, error) {
-			var stats []gocycloAPI.Stat
+			var stats gocyclo.Stats
 			for _, f := range pass.Files {
-				stats = gocycloAPI.BuildStats(f, pass.Fset, stats)
+				stats = gocyclo.AnalyzeASTFile(f, pass.Fset, stats)
 			}
 			if len(stats) == 0 {
 				return nil, nil
 			}
 
-			sort.SliceStable(stats, func(i, j int) bool {
-				return stats[i].Complexity > stats[j].Complexity
-			})
+			stats = stats.SortAndFilter(-1, lintCtx.Settings().Gocyclo.MinComplexity)
 
 			res := make([]goanalysis.Issue, 0, len(stats))
 			for _, s := range stats {
-				if s.Complexity <= lintCtx.Settings().Gocyclo.MinComplexity {
-					break // Break as the stats is already sorted from greatest to least
-				}
-
 				res = append(res, goanalysis.NewIssue(&result.Issue{
 					Pos: s.Pos,
 					Text: fmt.Sprintf("cyclomatic complexity %d of func %s is high (> %d)",