Including Package Calls in Go Coverage
Problem:
In a Go project with a multi-package structure, certain functions in packages outside of the currently tested package are being ignored by the coverage report. Specifically, functions in bar.go located in the db package are not showing any coverage despite being called from foo.go in the api package.
Solution:
To resolve this, the -coverpkg flag should be added to the go test command. The -coverpkg flag specifies which packages to include in the coverage report.
Explanation:
By default, the coverage report only includes packages that are directly imported by the test package. In this case, foo_test.go (the test package for foo.go) does not directly import db, so the functions in bar.go are not being covered.
Adding the -coverpkg flag explicitly includes the specified packages in the coverage analysis. In this case, the following command would include all packages in the current directory (./...) in the coverage report:
go test -coverpkg=./... coverprofile=coverage.out ./...
This will generate a coverage report that includes the function call to bar.go from foo.go.
Note:
Using the -coverpkg flag may impact the test execution time, as it requires analyzing a larger number of packages. However, it is necessary to obtain accurate coverage information for cross-package function calls.
The above is the detailed content of How Can I Include External Package Calls in My Go Coverage Report?. For more information, please follow other related articles on the PHP Chinese website!

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

ChooseGolangforhighperformanceandconcurrency,idealforbackendservicesandnetworkprogramming;selectPythonforrapiddevelopment,datascience,andmachinelearningduetoitsversatilityandextensivelibraries.

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

In what aspects are Golang and Python easier to use and have a smoother learning curve? Golang is more suitable for high concurrency and high performance needs, and the learning curve is relatively gentle for developers with C language background. Python is more suitable for data science and rapid prototyping, and the learning curve is very smooth for beginners.

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.

Golang is suitable for rapid development and concurrent programming, while C is more suitable for projects that require extreme performance and underlying control. 1) Golang's concurrency model simplifies concurrency programming through goroutine and channel. 2) C's template programming provides generic code and performance optimization. 3) Golang's garbage collection is convenient but may affect performance. C's memory management is complex but the control is fine.

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

SublimeText3 Chinese version
Chinese version, very easy to use

SublimeText3 Linux new version
SublimeText3 Linux latest version

Zend Studio 13.0.1
Powerful PHP integrated development environment