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Go library for the TOML format.
This library supports TOML version
v0.4.0
Go-toml provides the following features for using data parsed from TOML documents:
import "github.com/pelletier/go-toml"
Read a TOML document:
config, _ := toml.Load(`
[postgres]
user = "pelletier"
password = "mypassword"`)
// retrieve data directly
user := config.Get("postgres.user").(string)
// or using an intermediate object
postgresConfig := config.Get("postgres").(*toml.Tree)
password := postgresConfig.Get("password").(string)
Or use Unmarshal:
type Postgres struct {
User string
Password string
}
type Config struct {
Postgres Postgres
}
doc := []byte(`
[Postgres]
User = "pelletier"
Password = "mypassword"`)
config := Config{}
toml.Unmarshal(doc, &config)
fmt.Println("user=", config.Postgres.User)
Or use a query:
// use a query to gather elements without walking the tree
q, _ := query.Compile("$..[user,password]")
results := q.Execute(config)
for ii, item := range results.Values() {
fmt.Println("Query result %d: %v", ii, item)
}
The documentation and additional examples are available at
godoc.org.
Go-toml provides two handy command line tools:
tomll
: Reads TOML files and lint them.
go install github.com/pelletier/go-toml/cmd/tomll
tomll --help
tomljson
: Reads a TOML file and outputs its JSON representation.
go install github.com/pelletier/go-toml/cmd/tomljson
tomljson --help
Those tools are also availble as a Docker image from
dockerhub. For example, to
use tomljson
:
docker run -v $PWD:/workdir pelletier/go-toml tomljson /workdir/example.toml
Only master (latest
) and tagged versions are published to dockerhub. You
can build your own image as usual:
docker build -t go-toml .
Feel free to report bugs and patches using GitHub's pull requests system on
pelletier/go-toml. Any feedback would be
much appreciated!
go test ./...
The script ./fuzz.sh
is available to
run go-fuzz on go-toml.
Go-toml follows Semantic Versioning. The supported version
of TOML is indicated at the beginning of
this document. The last two major versions of Go are supported
(see Go Release Policy).
The MIT License (MIT). Read LICENSE.
本项目是群体化方法与技术的开源实现案例,在基于Gitea的基础上,进一步支持社交化的协同开发、协同学习、协同研究等群体创新实践服务,特别是针对新一代人工智能技术特点,重点支持项目管理、git代码管理、大数据集存储管理与智能计算平台接入。
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Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》