mirror of https://github.com/astral-sh/uv
102 lines
3.3 KiB
Markdown
102 lines
3.3 KiB
Markdown
# Contributing
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## Setup
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[Rust](https://rustup.rs/), a C compiler, and CMake are required to build uv.
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### Linux
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On Ubuntu and other Debian-based distributions, you can install the C compiler and CMake with
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```shell
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sudo apt install build-essential cmake
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```
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### macOS
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CMake may be installed with Homebrew:
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```shell
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brew install cmake
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```
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The Python bootstrapping script requires `coreutils` and `zstd`; we recommend installing them with Homebrew:
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```shell
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brew install coreutils zstd
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```
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See the [Python](#python) section for instructions on installing the Python versions.
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### Windows
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You can install CMake from the [installers](https://cmake.org/download/) or with `pipx install cmake`
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(make sure that the pipx install path is in `PATH`, pipx complains if it isn't).
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## Testing
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For running tests, we recommend [nextest](https://nexte.st/).
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### Python
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Testing uv requires multiple specific Python versions. You can install them into
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`<project root>/bin` via our bootstrapping script:
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```shell
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pipx run scripts/bootstrap/install.py
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```
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Alternatively, you can install `zstandard` from PyPI, then run:
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```shell
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python3.12 scripts/bootstrap/install.py
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```
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You can configure the bootstrapping directory with `UV_BOOTSTRAP_DIR`.
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### Local testing
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You can invoke your development version of uv with `cargo run -- <args>`. For example:
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```shell
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cargo run -- venv
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cargo run -- pip install requests
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```
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## Running inside a docker container
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Source distributions can run arbitrary code on build and can make unwanted modifications to your system (["Someone's Been Messing With My Subnormals!" on Blogspot](https://moyix.blogspot.com/2022/09/someones-been-messing-with-my-subnormals.html), ["nvidia-pyindex" on PyPI](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:
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```bash
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docker buildx build -t uv-builder -f builder.dockerfile --load .
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# Build for musl to avoid glibc errors, might not be required with your OS version
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cargo build --target x86_64-unknown-linux-musl --profile profiling --features vendored-openssl
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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
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```
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We recommend using this container if you don't trust the dependency tree of the package(s) you are trying to resolve or install.
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## Profiling
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Please refer to Ruff's [Profiling Guide](https://github.com/astral-sh/ruff/blob/main/CONTRIBUTING.md#profiling-projects), it applies to uv, too.
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### Analysing concurrency
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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:
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```shell
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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
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```
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```shell
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RUST_LOG=uv=info TRACING_DURATIONS_FILE=target/traces/jupyter.ndjson cargo run --features tracing-durations-export --bin uv-dev --profile profiling -- resolve jupyter
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```
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### Trace-level logging
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You can enable `trace` level logging using the `RUST_LOG` environment variable, i.e.
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```shell
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RUST_LOG=trace uv …
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```
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