mirror of
https://github.com/astral-sh/uv
synced 2026-01-26 07:50:16 -05:00
7f5415fd47
## What Fixes a missing link in `contributing.md` to the Python installation section by rearranging the section and adding a 3rd-level heading for #Python ## Closes Closes #1431
83 lines
2.9 KiB
Markdown
83 lines
2.9 KiB
Markdown
# Contributing
|
|
|
|
## Setup
|
|
|
|
[Rust](https://rustup.rs/), a C compiler, and CMake are required to build uv.
|
|
|
|
### Linux
|
|
|
|
|
|
On Ubuntu and other Debian-based distributions, you can install the C compiler and CMake with
|
|
|
|
```shell
|
|
sudo apt install build-essential cmake
|
|
```
|
|
|
|
### macOS
|
|
|
|
CMake may be installed with Homebrew:
|
|
|
|
```
|
|
brew install cmake
|
|
```
|
|
|
|
The Python bootstrapping script requires `coreutils` and `zstd`; we recommend installing them with Homebrew:
|
|
|
|
```
|
|
brew install coreutils zstd
|
|
```
|
|
|
|
See the [Python](#python) section for instructions on installing the Python versions.
|
|
|
|
### Windows
|
|
|
|
You can install CMake from the [installers](https://cmake.org/download/) or with `pipx install cmake`
|
|
(make sure that the pipx install path is in `PATH`, pipx complains if it isn't).
|
|
|
|
## Testing
|
|
|
|
For running tests, we recommend [nextest](https://nexte.st/).
|
|
|
|
### Python
|
|
Testing uv requires multiple specific Python versions. You can install them into
|
|
`<project root>/bin` via our bootstrapping script:
|
|
|
|
```shell
|
|
pipx run scripts/bootstrap/install.py
|
|
```
|
|
|
|
Alternatively, you can install `zstandard` from PyPI, then run:
|
|
|
|
```
|
|
python3.12 scripts/bootstrap/install.py
|
|
```
|
|
|
|
## Running inside a docker container
|
|
|
|
Source distributions can run arbitrary code on build and can make unwanted modifications to your system (https://moyix.blogspot.com/2022/09/someones-been-messing-with-my-subnormals.html, https://pypi.org/project/nvidia-pyindex/), which can even occur when just resolving requirements. To prevent this, there's a Docker container you can run commands in:
|
|
|
|
```bash
|
|
docker buildx build -t uv-builder -f builder.dockerfile --load .
|
|
# Build for musl to avoid glibc errors, might not be required with your OS version
|
|
cargo build --target x86_64-unknown-linux-musl --profile profiling --features vendored-openssl
|
|
docker run --rm -it -v $(pwd):/app uv-builder /app/target/x86_64-unknown-linux-musl/profiling/uv-dev resolve-many --cache-dir /app/cache-docker /app/scripts/popular_packages/pypi_10k_most_dependents.txt
|
|
```
|
|
|
|
We recommend using this container if you don't trust the dependency tree of the package(s) you are trying to resolve or install.
|
|
|
|
## Profiling
|
|
|
|
Please refer to Ruff's [Profiling Guide](https://github.com/astral-sh/ruff/blob/main/CONTRIBUTING.md#profiling-projects), it applies to uv, too.
|
|
|
|
### Analysing concurrency
|
|
|
|
You can use [tracing-durations-export](https://github.com/konstin/tracing-durations-export) to visualize parallel requests and find any spots where uv is CPU-bound. Example usage, with `uv` and `uv-dev` respectively:
|
|
|
|
```bash
|
|
RUST_LOG=uv=info TRACING_DURATIONS_FILE=target/traces/jupyter.ndjson cargo run --features tracing-durations-export --profile profiling -- pip compile scripts/requirements/jupyter.in
|
|
```
|
|
|
|
```bash
|
|
RUST_LOG=uv=info TRACING_DURATIONS_FILE=target/traces/jupyter.ndjson cargo run --features tracing-durations-export --bin uv-dev --profile profiling -- resolve jupyter
|
|
```
|