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fsnotify utilizes golang.org/x/sys rather than syscall
from the standard library. Ensure you have the latest version installed by running:
go get -u golang.org/x/sys/...
Cross platform: Windows, Linux, BSD and macOS.
Adapter | OS | Status |
---|---|---|
inotify | Linux 2.6.27 or later, Android* | Supported |
kqueue | BSD, macOS, iOS* | Supported |
ReadDirectoryChangesW | Windows | Supported |
FSEvents | macOS | Planned |
FEN | Solaris 11 | In Progress |
fanotify | Linux 2.6.37+ | |
USN Journals | Windows | Maybe |
Polling | All | Maybe |
* Android and iOS are untested.
Please see the documentation and consult the FAQ for usage information.
fsnotify is a fork of howeyc/fsnotify with a new API as of v1.0. The API is based on this design document.
All releases are tagged based on Semantic Versioning. Further API changes are planned, and will be tagged with a new major revision number.
Go 1.6 supports dependencies located in the vendor/
folder. Unless you are creating a library, it is recommended that you copy fsnotify into vendor/github.com/fsnotify/fsnotify
within your project, and likewise for golang.org/x/sys
.
Please refer to CONTRIBUTING before opening an issue or pull request.
See example_test.go.
When a file is moved to another directory is it still being watched?
No (it shouldn't be, unless you are watching where it was moved to).
When I watch a directory, are all subdirectories watched as well?
No, you must add watches for any directory you want to watch (a recursive watcher is on the roadmap #18).
Do I have to watch the Error and Event channels in a separate goroutine?
As of now, yes. Looking into making this single-thread friendly (see howeyc #7)
Why am I receiving multiple events for the same file on OS X?
Spotlight indexing on OS X can result in multiple events (see howeyc #62). A temporary workaround is to add your folder(s) to the Spotlight Privacy settings until we have a native FSEvents implementation (see #11).
How many files can be watched at once?
There are OS-specific limits as to how many watches can be created:
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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For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》