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https://github.com/OffchainLabs/prysm.git
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Static analysis: gocognit (#10527)
* Add gocognit to static analyzers with a very high threshold * edit readme and sort analyzers
This commit is contained in:
14
tools/analyzers/gocognit/BUILD.bazel
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14
tools/analyzers/gocognit/BUILD.bazel
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load("@prysm//tools/go:def.bzl", "go_library")
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go_library(
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name = "go_default_library",
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srcs = ["analyzer.go"],
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importpath = "github.com/prysmaticlabs/prysm/tools/analyzers/gocognit",
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visibility = ["//visibility:public"],
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deps = [
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"@com_github_uudashr_gocognit//:go_default_library",
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"@org_golang_x_tools//go/analysis:go_default_library",
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"@org_golang_x_tools//go/analysis/passes/inspect:go_default_library",
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"@org_golang_x_tools//go/ast/inspector:go_default_library",
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],
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)
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BIN
tools/analyzers/gocognit/CognitiveComplexity.pdf
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BIN
tools/analyzers/gocognit/CognitiveComplexity.pdf
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195
tools/analyzers/gocognit/README.md
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tools/analyzers/gocognit/README.md
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> Copied from https://github.com/uudashr/gocognit/blob/5bf67146515e79acd2a8d5728deafa9d91ad48db/README.md
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> License: MIT
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[](https://godoc.org/github.com/uudashr/gocognit)
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# Gocognit
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Gocognit calculates cognitive complexities of functions in Go source code. A measurement of how hard does the code is intuitively to understand.
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## Understanding the complexity
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Given code using `if` statement,
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```go
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func GetWords(number int) string {
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if number == 1 { // +1
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return "one"
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} else if number == 2 { // +1
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return "a couple"
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} else if number == 3 { // +1
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return "a few"
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} else { // +1
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return "lots"
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}
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} // Cognitive complexity = 4
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```
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Above code can be refactored using `switch` statement,
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```go
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func GetWords(number int) string {
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switch number { // +1
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case 1:
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return "one"
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case 2:
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return "a couple"
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case 3:
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return "a few"
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default:
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return "lots"
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}
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} // Cognitive complexity = 1
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```
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As you see above codes are the same, but the second code are easier to understand, that is why the cognitive complexity score are lower compare to the first one.
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## Comparison with cyclometic complexity
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### Example 1
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#### Cyclometic complexity
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```go
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func GetWords(number int) string { // +1
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switch number {
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case 1: // +1
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return "one"
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case 2: // +1
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return "a couple"
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case 3: // +1
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return "a few"
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default:
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return "lots"
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}
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} // Cyclomatic complexity = 4
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```
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#### Cognitive complexity
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```go
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func GetWords(number int) string {
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switch number { // +1
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case 1:
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return "one"
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case 2:
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return "a couple"
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case 3:
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return "a few"
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default:
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return "lots"
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}
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} // Cognitive complexity = 1
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```
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Cognitive complexity give lower score compare to cyclomatic complexity.
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### Example 2
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#### Cyclomatic complexity
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```go
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func SumOfPrimes(max int) int { // +1
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var total int
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OUT:
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for i := 1; i < max; i++ { // +1
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for j := 2; j < i; j++ { // +1
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if i%j == 0 { // +1
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continue OUT
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}
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}
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total += i
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}
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return total
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} // Cyclomatic complexity = 4
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```
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#### Cognitive complexity
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```go
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func SumOfPrimes(max int) int {
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var total int
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OUT:
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for i := 1; i < max; i++ { // +1
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for j := 2; j < i; j++ { // +2 (nesting = 1)
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if i%j == 0 { // +3 (nesting = 2)
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continue OUT // +1
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}
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}
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total += i
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}
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return total
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} // Cognitive complexity = 7
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```
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Cognitive complexity give higher score compare to cyclomatic complexity.
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## Rules
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The cognitive complexity of a function is calculated according to the
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following rules:
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> Note: these rules are specific for Go, please see the [original whitepaper](./CognitiveComplexity.pdf) for more complete reference.
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### Increments
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There is an increment for each of the following:
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1. `if`, `else if`, `else`
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2. `switch`, `select`
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3. `for`
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4. `goto` LABEL, `break` LABEL, `continue` LABEL
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5. sequence of binary logical operators
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6. each method in a recursion cycle
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### Nesting level
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The following structures increment the nesting level:
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1. `if`, `else if`, `else`
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2. `switch`, `select`
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3. `for`
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4. function literal or lambda
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### Nesting increments
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The following structures receive a nesting increment commensurate with their nested depth inside nesting structures:
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1. `if`
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2. `switch`, `select`
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3. `for`
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## Installation
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```
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$ go install github.com/uudashr/gocognit/cmd/gocognit@latest
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```
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or
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```
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$ go get github.com/uudashr/gocognit/cmd/gocognit
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```
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## Usage
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```
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$ gocognit
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Calculate cognitive complexities of Go functions.
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Usage:
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gocognit [flags] <Go file or directory> ...
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Flags:
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-over N show functions with complexity > N only and
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return exit code 1 if the set is non-empty
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-top N show the top N most complex functions only
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-avg show the average complexity over all functions,
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not depending on whether -over or -top are set
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The output fields for each line are:
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<complexity> <package> <function> <file:row:column>
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```
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Examples:
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```
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$ gocognit .
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$ gocognit main.go
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$ gocognit -top 10 src/
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$ gocognit -over 25 docker
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$ gocognit -avg .
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```
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The output fields for each line are:
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```
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<complexity> <package> <function> <file:row:column>
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```
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## Related project
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- [Gocyclo](https://github.com/fzipp/gocyclo) where the code are based on.
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- [Cognitive Complexity: A new way of measuring understandability](./CognitiveComplexity.pdf) white paper by G. Ann Campbell.
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90
tools/analyzers/gocognit/analyzer.go
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90
tools/analyzers/gocognit/analyzer.go
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package gocognit
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import (
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"errors"
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"fmt"
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"go/ast"
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"github.com/uudashr/gocognit"
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"golang.org/x/tools/go/analysis"
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"golang.org/x/tools/go/analysis/passes/inspect"
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"golang.org/x/tools/go/ast/inspector"
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)
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// Doc explaining the tool.
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const Doc = "Tool to ensure go code does not have high cognitive complexity."
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// Analyzer runs static analysis.
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var Analyzer = &analysis.Analyzer{
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Name: "gocognit",
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Doc: Doc,
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Requires: []*analysis.Analyzer{inspect.Analyzer},
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Run: run,
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}
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// Recommended thresholds according to the 2008 presentation titled
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// "Software Quality Metrics to Identify Risk" by Thomas McCabe Jr.
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//
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// 1 - 10 Simple procedure, little risk
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// 11 - 20 More complex, moderate risk
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// 21 - 50 Complex, high risk
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// > 50 Untestable code, very high risk
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//
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// This threshold should be lowered to 50 over time.
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const over = 130
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func run(pass *analysis.Pass) (interface{}, error) {
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inspect, ok := pass.ResultOf[inspect.Analyzer].(*inspector.Inspector)
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if !ok {
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return nil, errors.New("analyzer is not type *inspector.Inspector")
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}
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nodeFilter := []ast.Node{
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(*ast.FuncDecl)(nil),
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}
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inspect.Preorder(nodeFilter, func(n ast.Node) {
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fnDecl, ok := n.(*ast.FuncDecl)
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if !ok {
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return
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}
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fnName := funcName(fnDecl)
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fnComplexity := gocognit.Complexity(fnDecl)
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if fnComplexity > over {
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pass.Reportf(fnDecl.Pos(), "cognitive complexity %d of func %s is high (> %d)", fnComplexity, fnName, over)
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}
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})
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return nil, nil
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}
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// funcName returns the name representation of a function or method:
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// "(Type).Name" for methods or simply "Name" for functions.
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//
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// Copied from https://github.com/uudashr/gocognit/blob/5bf67146515e79acd2a8d5728deafa9d91ad48db/gocognit.go
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// License: MIT
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func funcName(fn *ast.FuncDecl) string {
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if fn.Recv != nil {
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if fn.Recv.NumFields() > 0 {
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typ := fn.Recv.List[0].Type
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return fmt.Sprintf("(%s).%s", recvString(typ), fn.Name)
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}
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}
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return fn.Name.Name
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}
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// recvString returns a string representation of recv of the
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// form "T", "*T", or "BADRECV" (if not a proper receiver type).
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//
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// Copied from https://github.com/uudashr/gocognit/blob/5bf67146515e79acd2a8d5728deafa9d91ad48db/gocognit.go
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// License: MIT
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func recvString(recv ast.Expr) string {
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switch t := recv.(type) {
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case *ast.Ident:
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return t.Name
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case *ast.StarExpr:
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return "*" + recvString(t.X)
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}
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return "BADRECV"
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}
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