1f3b5bb093
## Summary This PR adds support for hash-checking mode in `pip install` and `pip sync`. It's a large change, both in terms of the size of the diff and the modifications in behavior, but it's also one that's hard to merge in pieces (at least, with any test coverage) since it needs to work end-to-end to be useful and testable. Here are some of the most important highlights: - We store hashes in the cache. Where we previously stored pointers to unzipped wheels in the `archives` directory, we now store pointers with a set of known hashes. So every pointer to an unzipped wheel also includes its known hashes. - By default, we don't compute any hashes. If the user runs with `--require-hashes`, and the cache doesn't contain those hashes, we invalidate the cache, redownload the wheel, and compute the hashes as we go. For users that don't run with `--require-hashes`, there will be no change in performance. For users that _do_, the only change will be if they don't run with `--generate-hashes` -- then they may see some repeated work between resolution and installation, if they use `pip compile` then `pip sync`. - Many of the distribution types now include a `hashes` field, like `CachedDist` and `LocalWheel`. - Our behavior is similar to pip, in that we enforce hashes when pulling any remote distributions, and when pulling from our own cache. Like pip, though, we _don't_ enforce hashes if a distribution is _already_ installed. - Hash validity is enforced in a few different places: 1. During resolution, we enforce hash validity based on the hashes reported by the registry. If we need to access a source distribution, though, we then enforce hash validity at that point too, prior to running any untrusted code. (This is enforced in the distribution database.) 2. In the install plan, we _only_ add cached distributions that have matching hashes. If a cached distribution is missing any hashes, or the hashes don't match, we don't return them from the install plan. 3. In the downloader, we _only_ return distributions with matching hashes. 4. The final combination of "things we install" are: (1) the wheels from the cache, and (2) the downloaded wheels. So this ensures that we never install any mismatching distributions. - Like pip, if `--require-hashes` is provided, we require that _all_ distributions are pinned with either `==` or a direct URL. We also require that _all_ distributions have hashes. There are a few notable TODOs: - We don't support hash-checking mode for unnamed requirements. These should be _somewhat_ rare, though? Since `pip compile` never outputs unnamed requirements. I can fix this, it's just some additional work. - We don't automatically enable `--require-hashes` with a hash exists in the requirements file. We require `--require-hashes`. Closes #474. ## Test Plan I'd like to add some tests for registries that report incorrect hashes, but otherwise: `cargo test`
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Markdown
321 lines
16 KiB
Markdown
# Compatibility with `pip` and `pip-tools`
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uv is designed as a drop-in replacement for common `pip` and `pip-tools` workflows.
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Informally, the intent is such that existing `pip` and `pip-tools` users can switch to uv without
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making meaningful changes to their packaging workflows; and, in most cases, swapping out
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`pip install` for `uv pip install` should "just work".
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However, uv is _not_ intended to be an _exact_ clone of `pip`, and the further you stray from
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common `pip` workflows, the more likely you are to encounter differences in behavior. In some cases,
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those differences may be known and intentional; in others, they may be the result of implementation
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details; and in others, they may be bugs.
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This document outlines the known differences between uv and `pip`, along with rationale,
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workarounds, and a statement of intent for compatibility in the future.
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## Configuration files and environment variables
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uv does not read configuration files or environment variables that are specific to `pip`, like
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`pip.conf` or `PIP_INDEX_URL`.
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Reading configuration files and environment variables intended for other tools has a number of
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drawbacks:
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1. It requires bug-for-bug compatibility with the target tool, since users end up relying on bugs in
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the format, the parser, etc.
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2. If the target tool _changes_ the format in some way, uv is then locked-in to changing it in
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equivalent ways.
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3. If that configuration is versioned in some way, uv would need to know _which version_ of the
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target tool the user is expecting to use.
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4. It prevents uv from introducing any settings or configuration that don't exist in the target
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tool, since otherwise `pip.conf` (or similar) would no longer be usable with `pip`.
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5. It can lead to user confusion, since uv would be reading settings that don't actually affect its
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behavior, and many users may _not_ expect uv to read configuration files intended for other
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tools.
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Instead, uv supports its own environment variables, like `UV_INDEX_URL`. In the future, uv will
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also support persistent configuration in its own configuration file format (e.g., `pyproject.toml`
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or `uv.toml` or similar). For more, see [#651](https://github.com/astral-sh/uv/issues/651).
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## Pre-release compatibility
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By default, uv will accept pre-release versions during dependency resolution in two cases:
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1. If the package is a direct dependency, and its version markers include a pre-release specifier
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(e.g., `flask>=2.0.0rc1`).
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1. If _all_ published versions of a package are pre-releases.
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If dependency resolution fails due to a transitive pre-release, uv will prompt the user to
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re-run with `--prerelease=allow`, to allow pre-releases for all dependencies.
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Alternatively, you can add the transitive dependency to your `requirements.in` file with
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pre-release specifier (e.g., `flask>=2.0.0rc1`) to opt in to pre-release support for that specific
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dependency.
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In sum, uv needs to know upfront whether the resolver should accept pre-releases for a given
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package. `pip`, meanwhile, _may_ respect pre-release identifiers in transitive dependencies
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depending on the order in which the resolver encounters the relevant specifiers ([#1641](https://github.com/astral-sh/uv/issues/1641#issuecomment-1981402429)).
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Pre-releases are [notoriously difficult](https://pubgrub-rs-guide.netlify.app/limitations/prerelease_versions)
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to model, and are a frequent source of bugs in packaging tools. Even `pip`, which is viewed as a
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reference implementation, has a number of open questions around pre-release handling ([#12469](https://github.com/pypa/pip/issues/12469),
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[#12470](https://github.com/pypa/pip/issues/12470), [#40505](https://discuss.python.org/t/handling-of-pre-releases-when-backtracking/40505/20), etc.).
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uv's pre-release handling is _intentionally_ limited and _intentionally_ requires user opt-in for
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pre-releases, to ensure correctness.
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In the future, uv _may_ support pre-release identifiers in transitive dependencies. However, it's
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likely contingent on evolution in the Python packaging specifications. The existing PEPs [do not
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cover "dependency resolution"](https://discuss.python.org/t/handling-of-pre-releases-when-backtracking/40505/17)
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and are instead focused on behavior for a _single_ version specifier. As such, there are unresolved
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questions around the correct and intended behavior for pre-releases in the packaging ecosystem more
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broadly.
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## Local version identifiers
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uv does not implement spec-compliant handling of local version identifiers (e.g., `1.2.3+local`).
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This is considered a known limitation. Although local version identifiers are rare in published
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packages (and, e.g., disallowed on PyPI), they're common in the PyTorch ecosystem, and uv's approach
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to local versions _does_ support typical PyTorch workflows to succeed out-of-the-box.
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[PEP 440](https://peps.python.org/pep-0440/#version-specifiers) specifies that the local version
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segment should typically be ignored when evaluating version specifiers, with a few exceptions.
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For example, `foo==1.2.3` should accept `1.2.3+local`, but `foo==1.2.3+local` should _not_ accept
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`1.2.3`. These asymmetries are hard to model in a resolution algorithm. As such, uv treats `1.2.3`
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and `1.2.3+local` as entirely separate versions, but respects local versions provided as direct
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dependencies throughout the resolution, such that if you provide `foo==1.2.3+local` as a direct
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dependency, `1.2.3+local` _will_ be accepted for any transitive dependencies that request
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`foo==1.2.3`.
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To take an example from the PyTorch ecosystem, it's common to specify `torch==2.0.0+cu118` and
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`torchvision==0.15.1+cu118` as direct dependencies. `torchvision @ 0.15.1+cu118` declares a
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dependency on `torch==2.0.0`. In this case, uv would recognize that `torch==2.0.0+cu118` satisfies
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the specifier, since it was provided as a direct dependency.
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As compared to pip, the main differences in observed behavior are as follows:
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- In general, local versions must be provided as direct dependencies. Resolution may succeed for
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transitive dependencies that request a non-local version, but this is not guaranteed.
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- If _only_ local versions exist for a package `foo` at a given version (e.g., `1.2.3+local` exists,
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but `1.2.3` does not), `uv pip install foo==1.2.3` will fail, while `pip install foo==1.2.3` will
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resolve to an arbitrary local version.
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## Packages that exist on multiple indexes
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In both uv and `pip`, users can specify multiple package indexes from which to search for
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the available versions of a given package. However, uv and `pip` differ in how they handle
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packages that exist on multiple indexes.
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For example, imagine that a company publishes an internal version of `requests` on a private index
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(`--extra-index-url`), but also allows installing packages from PyPI by default. In this case, the
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private `requests` would conflict with the public [`requests`](https://pypi.org/project/requests/)
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on PyPI.
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When uv searches for a package across multiple indexes, it will iterate over the indexes in order
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(preferring the `--extra-index-url` over the default index), and stop searching as soon as it
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finds a match. This means that if a package exists on multiple indexes, uv will limit its
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candidate versions to those present in the first index that contains the package.
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`pip`, meanwhile, will combine the candidate versions from all indexes, and select the best
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version from the combined set, though it makes [no guarantees around the order](https://github.com/pypa/pip/issues/5045#issuecomment-369521345)
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in which it searches indexes, and expects that packages are unique up to name and version, even
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across indexes.
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uv's behavior is such that if a package exists on an internal index, it should always be installed
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from the internal index, and never from PyPI. The intent is to prevent "dependency confusion"
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attacks, in which an attacker publishes a malicious package on PyPI with the same name as an
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internal package, thus causing the malicious package to be installed instead of the internal
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package. See, for example, [the `torchtriton` attack](https://pytorch.org/blog/compromised-nightly-dependency/)
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from December 2022.
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As of v0.1.29, users can opt in to `pip`-style behavior for multiple indexes via the
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`--index-strategy unsafe-any-match` command-line option, or the `UV_INDEX_STRATEGY` environment
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variable. When enabled, uv will search for each package across all indexes, and consider all
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available versions when resolving dependencies, prioritizing the `--extra-index-url` indexes over
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the default index URL. (Versions that are duplicated _across_ indexes will be ignored.)
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In the future, uv will support pinning packages to dedicated indexes (see: [#171](https://github.com/astral-sh/uv/issues/171)).
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Additionally, [PEP 708](https://peps.python.org/pep-0708/) is a provisional standard that aims to
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address the "dependency confusion" issue across package registries and installers.
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## Transitive direct URL dependencies for constraints and overrides
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While uv does support URL dependencies (e.g., `black @ https://...`), it does not support
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_transitive_ (i.e., "nested") direct URL dependencies for constraints and overrides.
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Specifically, if a constraint or override is defined using a direct URL dependency, and the
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constrained package has a direct URL dependency of its own, uv _may_ reject that transitive direct
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URL dependency during resolution.
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uv also makes the assumption that non-URL dependencies won't introduce URL dependencies (i.e., that
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dependencies fetched from a registry will not themselves have direct URL dependencies). If a non-URL
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dependency _does_ introduce a URL dependency, uv will reject the URL dependency during resolution.
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If uv rejects a transitive URL dependency in either case, the best course of action is to provide
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the URL dependency as a direct dependency in the `requirements.in` file, rather than as a
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constraint, override, or transitive dependency.
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## Virtual environments by default
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`uv pip install` and `uv pip sync` are designed to work with virtual environments by default.
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Specifically, uv will always install packages into the currently active virtual environment, or
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search for a virtual environment named `.venv` in the current directory or any parent directory
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(even if it is not activated).
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This differs from `pip`, which will install packages into a global environment if no virtual
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environment is active, and will not search for inactive virtual environments.
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In uv, you can install into non-virtual environments by providing a path to a Python executable
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via the `--python /path/to/python` option, or via the `--system` flag, which installs into the
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first Python interpreter found on the `PATH`, like `pip`.
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In other words, uv inverts the default, requiring explicit opt-in to installing into the system
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Python, which can lead to breakages and other complications, and should only be done in limited
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circumstances.
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For more, see ["Installing into arbitrary Python environments"](./README.md#installing-into-arbitrary-python-environments).
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## Resolution strategy
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For a given set of dependency specifiers, it's often the case that there is no single "correct"
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set of packages to install. Instead, there are many valid sets of packages that satisfy the
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specifiers.
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Neither `pip` nor uv make any guarantees about the _exact_ set of packages that will be
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installed; only that the resolution will be consistent, deterministic, and compliant with the
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specifiers. As such, in some cases, `pip` and uv will yield different resolutions; however, both
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resolutions _should_ be equally valid.
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For example, consider:
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```txt
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# requirements.txt
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starlette
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fastapi
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```
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At time of writing, the most recent `starlette` version is `0.37.2`, and the most recent `fastapi`
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version is `0.110.0`. However, `fastapi==0.110.0` also depends on `starlette`, and introduces an
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upper bound: `starlette>=0.36.3,<0.37.0`.
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If a resolver prioritizes including the most recent version of `starlette`, it would need to use
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an older version of `fastapi` that excludes the upper bound on `starlette`. In practice, this
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requires falling back to `fastapi==0.1.17`:
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```txt
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# This file was autogenerated by uv via the following command:
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# uv pip compile -
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annotated-types==0.6.0
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# via pydantic
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anyio==4.3.0
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# via starlette
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fastapi==0.1.17
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idna==3.6
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# via anyio
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pydantic==2.6.3
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# via fastapi
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pydantic-core==2.16.3
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# via pydantic
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sniffio==1.3.1
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# via anyio
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starlette==0.37.2
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# via fastapi
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typing-extensions==4.10.0
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# via
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# pydantic
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# pydantic-core
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```
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Alternatively, if a resolver prioritizes including the most recent version of `fastapi`, it would
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need to use an older version of `starlette` that satisfies the upper bound. In practice, this
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requires falling back to `starlette==0.36.3`:
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```txt
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# uv pip compile -
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annotated-types==0.6.0
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# via pydantic
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anyio==4.3.0
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# via starlette
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fastapi==0.110.0
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idna==3.6
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# via anyio
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pydantic==2.6.3
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# via fastapi
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pydantic-core==2.16.3
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# via pydantic
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sniffio==1.3.1
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# via anyio
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starlette==0.36.3
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# via fastapi
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typing-extensions==4.10.0
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# via
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# fastapi
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# pydantic
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# pydantic-core
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```
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When uv resolutions differ from `pip` in undesirable ways, it's often a sign that the specifiers
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are too loose, and that the user should consider tightening them. For example, in the case of
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`starlette` and `fastapi`, the user could require `fastapi>=0.110.0`.
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## `pip check`
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At present, `uv pip check` will surface the following diagnostics:
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- A package has no `METADATA` file, or the `METADATA` file can't be parsed.
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- A package has a `Requires-Python` that doesn't match the Python version of the running interpreter.
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- A package has a dependency on a package that isn't installed.
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- A package has a dependency on a package that's installed, but at an incompatible version.
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- Multiple versions of a package are installed in the virtual environment.
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In some cases, `uv pip check` will surface diagnostics that `pip check` does not, and vice versa.
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For example, unlike `uv pip check`, `pip check` will _not_ warn when multiple versions of a package
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are installed in the current environment.
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## Strictness and spec enforcement
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uv tends to be stricter than `pip`, and will often reject packages that `pip` would install.
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For example, uv omits packages with invalid version specifiers in its metadata, which `pip`
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similarly plans to exclude in a [future release](https://github.com/pypa/pip/issues/12063).
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In some cases, uv implements lenient behavior for popular packages that are known to have
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specific spec compliance issues.
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If uv rejects a package that `pip` would install due to a spec violation, the best course of
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action is to first attempt to install a newer version of the package; and, if that fails, to report
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the issue to the package maintainer.
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## `pip` command-line options and subcommands
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uv does not support the complete set of `pip`'s command-line options and subcommands, although it
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does support a large subset.
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Missing options and subcommands are prioritized based on user demand and the complexity of
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the implementation, and tend to be tracked in individual issues. For example:
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- [`--trusted-host`](https://github.com/astral-sh/uv/issues/1339)
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- [`--user`](https://github.com/astral-sh/uv/issues/2077)
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If you encounter a missing option or subcommand, please search the issue tracker to see if it has
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already been reported, and if not, consider opening a new issue. Feel free to upvote any existing
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issues to convey your interest.
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## Registry authentication
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uv does not support `pip`'s `auto` or `import` options for `--keyring-provider`. At present, only
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the `subproces` option is supported.
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Unlike `pip`, uv does not enable keyring authentication by default.
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Unlike `pip`, uv does not wait until a request returns a HTTP 401 before searching for
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authentication. uv attaches authentication to all requests for hosts with credentials available.
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## Legacy features
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uv does not support features that are considered legacy or deprecated in `pip`. For example,
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uv does not support `.egg`-style distributions.
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uv does not plan to support features that the `pip` maintainers explicitly recommend against,
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like `--target`.
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