Comments (2)
And cargo bench
does not work in stable:
error[E0554]: #[feature] may not be used on the stable release channel
--> benches/vs_easy_buf.rs:1:1
|
1 | #![feature(test)]
| ^^^^^^^^^^^^^^^^^
error: aborting due to previous error
error: Could not compile `bytes`.
from bytes.
There was a recent soundness fix in the compiler that is causing the first error.
Re benches, benchmarks don't work on stable right now, so to run benches you have to use nightly.
from bytes.
Related Issues (20)
- Feature Request: Default implementations for heap types which support the unstable allocator API HOT 4
- Feature Request: Default implementations for pinned types HOT 2
- Feature Request: Seekable Buffer ("SeekBuf") and cursor/iterator support HOT 2
- `BufMut` does not include safety invariants in trait documentation HOT 1
- Enable shrinking of allocations
- Contradictory allocation behaviour compared to documentation HOT 9
- Confusing documentation around `Arc<[u8]>` compatibility HOT 1
- Should clone benchmark use use `test::blackbox`? HOT 1
- Explicitly guarantee `Bytes` to be immutable HOT 2
- Expose UTF-8 validated string type HOT 2
- Buf::chunks_vectored() is wrong if chunk() isn't the whole buf HOT 3
- Feature request: fallible version of `BytesMut::unsplit` (i.e. make `BytesMut::try_unsplit` public) HOT 2
- Test for unknown --cfg flags in ci
- Splice for BytesMut HOT 2
- Consider replacing Bytes::make_mut by impl From<Bytes> for BytesMut HOT 5
- Is the conversion from bytes to Vec<u8> O(1) HOT 5
- Feature request: implement `From<Cow<'static, [u8]>>` for `Bytes`
- BytesMut::zeroed doc header improvement HOT 3
- Docs: `Buf::chunk` should have more restrictions. HOT 2
- 1.6.0 yanked? HOT 12
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from bytes.