Installing and importing numpy tests for two cases:
* The python architecture and the package architecture don't match
(https://github.com/astral-sh/uv/issues/2326)
* The libc of python and that of the package don't match on linux
(musllinux vs manylinux, picking a compatible manylinux version)
All pylint deps are py3-none-any, so they don't catch those cases.
## Summary
If a package uses Hatch's `root.uri` feature, we currently error:
```toml
dependencies = [
"black @ {root:uri}/../black_editable"
]
```
Even though we're using PEP 517 hooks to get the metadata, which
_should_ support this. The problem is that we load the full
`PyProjectToml`, which means we parse the requirements, which means we
reject what looks like a relative URL in dependencies.
Instead, we should only enforce a limited subset of `pyproject.toml`
(arguably none).
Closes https://github.com/astral-sh/uv/issues/2475.
## Summary
This PR adds limited support for PEP 440-compatible local version
testing. Our behavior is _not_ comprehensively in-line with the spec.
However, it does fix by _far_ the biggest practical limitation, and
resolves all the issues that've been raised on uv related to local
versions without introducing much complexity into the resolver, so it
feels like a good tradeoff for me.
I'll summarize the change here, but for more context, see [Andrew's
write-up](https://github.com/astral-sh/uv/issues/1855#issuecomment-1967024866)
in the linked issue.
Local version identifiers are really tricky because of asymmetry.
`==1.2.3` should allow `1.2.3+foo`, but `==1.2.3+foo` should not allow
`1.2.3`. It's very hard to map them to PubGrub, because PubGrub doesn't
think of things in terms of individual specifiers (unlike the PEP 440
spec) -- it only thinks in terms of ranges.
Right now, resolving PyTorch and friends fails, because...
- The user provides requirements like `torch==2.0.0+cu118` and
`torchvision==0.15.1+cu118`.
- We then match those exact versions.
- We then look at the requirements of `torchvision==0.15.1+cu118`, which
includes `torch==2.0.0`.
- Under PEP 440, this is fine, because `torch @ 2.0.0+cu118` should be
compatible with `torch==2.0.0`.
- In our model, though, it's not, because these are different versions.
If we change our comparison logic in various places to allow this, we
risk breaking some fundamental assumptions of PubGrub around version
continuity.
- Thus, we fail to resolve, because we can't accept both `torch @ 2.0.0`
and `torch @ 2.0.0+cu118`.
As compared to the solutions we explored in
https://github.com/astral-sh/uv/issues/1855#issuecomment-1967024866, at
a high level, this approach differs in that we lie about the
_dependencies_ of packages that rely on our local-version-using package,
rather than lying about the versions that exist, or the version we're
returning, etc.
In short:
- When users specify local versions upfront, we keep track of them. So,
above, we'd take note of `torch` and `torchvision`.
- When we convert the dependencies of a package to PubGrub ranges, we
check if the requirement matches `torch` or `torchvision`. If it's
an`==`, we check if it matches (in the above example) for
`torch==2.0.0`. If so, we _change_ the requirement to
`torch==2.0.0+cu118`. (If it's `==` some other version, we return an
incompatibility.)
In other words, we selectively override the declared dependencies by
making them _more specific_ if a compatible local version was specified
upfront.
The net effect here is that the motivating PyTorch resolutions all work.
And, in general, transitive local versions work as expected.
The thing that still _doesn't_ work is: imagine if there were _only_
local versions of `torch` available. Like, `torch @ 2.0.0` didn't exist,
but `torch @ 2.0.0+cpu` did, and `torch @ 2.0.0+gpu` did, and so on.
`pip install torch==2.0.0` would arbitrarily choose one one `2.0.0+cpu`
or `2.0.0+gpu`, and that's correct as per PEP 440 (local version
segments should be completely ignored on `torch==2.0.0`). However, uv
would fail to identify a compatible version. I'd _probably_ prefer to
fix this, although candidly I think our behavior is _ok_ in practice,
and it's never been reported as an issue.
Closes https://github.com/astral-sh/uv/issues/1855.
Closes https://github.com/astral-sh/uv/issues/2080.
Closes https://github.com/astral-sh/uv/issues/2328.
## Summary
This PR attempts to use a similar trick to that we added in
https://github.com/astral-sh/uv/pull/1878, but for post-releases.
In https://github.com/astral-sh/uv/pull/1878, we added a fake "minimum"
version to enable us to treat `< 1.0.0` as _excluding_ pre-releases of
1.0.0.
Today, on `main`, we accept post-releases and local versions in `>
1.0.0`. But per PEP 440, that should _exclude_ post-releases and local
versions, unless the specifier is itself a pre-release, in which case,
pre-releases are allowed (e.g., `> 1.0.0.post0` should allow `>
1.0.0.post1`).
To support this, we add a fake "maximum" version that's greater than all
the post and local releases for a given version. This leverages our last
remaining free bit in the compact representation.
This update pulls in https://github.com/pubgrub-rs/pubgrub/pull/177,
optimizing common range operations in pubgrub. Please refer to this PR
for a more extensive description and discussion of the changes.
The changes optimize that last remaining pathological case,
`bio_embeddings[all]` on python 3.12, which has to try 100k versions,
from 12s to 3s in the cached case. It should also enable smarter
prefetching in batches (https://github.com/astral-sh/uv/issues/170),
even though a naive attempt didn't show better network usage.
**before** 12s
**after** 3s
```
$ taskset -c 0 hyperfine --warmup 1 "../uv/target/profiling/main-uv pip compile ../uv/scripts/requirements/bio_embeddings.in" "../uv/target/profiling/branch-uv pip compile ../uv/scripts/requirements/bio_embeddings.in"
Benchmark 1: ../uv/target/profiling/main-uv pip compile ../uv/scripts/requirements/bio_embeddings.in
Time (mean ± σ): 12.321 s ± 0.064 s [User: 12.014 s, System: 0.300 s]
Range (min … max): 12.224 s … 12.406 s 10 runs
Benchmark 2: ../uv/target/profiling/branch-uv pip compile ../uv/scripts/requirements/bio_embeddings.in
Time (mean ± σ): 3.109 s ± 0.004 s [User: 2.782 s, System: 0.321 s]
Range (min … max): 3.103 s … 3.116 s 10 runs
Summary
../uv/target/profiling/branch-uv pip compile ../uv/scripts/requirements/bio_embeddings.in ran
3.96 ± 0.02 times faster than ../uv/target/profiling/main-uv pip compile ../uv/scripts/requirements/bio_embeddings.in
```
It also adds `bio_embeddings[all]` as a requirements test case.
- Now that `packse` is being published to PyPI we can install it from
there.
- Tweaks the tooling around scenario updates to manage a temporary
virtual environment for you.
- Makes use of a new index URL
- Includes local version segment scenarios (supersedes
https://github.com/astral-sh/uv/pull/2022)
## Summary
This is essentially a wrapper around something like `--python $(which
python3)`, but gives users a portable and streamlined way to solve the
common pain point of using `uv` in GitHub Actions or a Docker container.
See: https://github.com/astral-sh/uv/issues/1526.
* Document good first issues
* Document `scripts` directory, as far as useful for contributors
* Remove compare with pip script, we don't need it anymore
I think this closes#817.
---------
Co-authored-by: Jo <10510431+j178@users.noreply.github.com>
## Summary
When you invoke `python -c`, an empty string is prepended to `sys.path`,
which allows loading modules in the current directory
(https://docs.python.org/3/using/cmdline.html#cmdoption-P). However, in
PEP 517 builds, the current directory should _not_ be part of the path.
There's a flag we can use to disable this behavior (`-P`), but it's only
available in Python 3.11 and later, so instead, I'm doing something
similar to pip's `__main__.py`, which avoids this for `python -m pip`
invocations.
Closes https://github.com/astral-sh/uv/issues/1972.
## Summary
Even when pre-releases are "allowed", per PEP 440, `pydantic<2.0.0`
should _not_ include pre-releases. This PR modifies the specifier
translation to treat `pydantic<2.0.0` as `pydantic<2.0.0.min0`, where
`min` is an internal-only version segment that's invisible to users.
Closes https://github.com/astral-sh/uv/issues/1641.
Previously, only glibc builds were tracked in the bootstrap script. A
new field `libc` tracks if `gnu` or `musl` are used on linux, while it
is `"none"` everywhere else. I've confirmed that the updated script
works on ubuntu and alpine.
Add a `UV_BOOTSTRAP_DIR` option to configure the python bootstrap
directory. This is helpful when working across multiple platforms in a
single IDE session.
Uses `--find-links` to discover vendored scenario build dependencies and
allows us to use `--index-url` instead of `--extra-index-url` to avoid
hitting the real PyPI in scenario tests.
## Summary
This fixes https://github.com/astral-sh/uv/issues/1704 by removing the
version from the produced header.
## Test Plan
Checked with clippy, and tests are updated too.
## Summary
If an editable package declares a direct URL requirement, we currently
error since it's not considered an "allowed" requirement. We need to add
those URLs to the allow-list.
Closes https://github.com/astral-sh/uv/issues/1603.
## Summary
If you're developing on a package like `attrs` locally, and it has a
recursive extra like `attrs[dev]`, it turns out that we then try to find
the `attrs` in `attrs[dev]` from the registry, rather than recognizing
that it's part of the editable.
This PR fixes the issue by making editables slightly more first-class
throughout the resolver. Instead of mocking metadata, we explicitly
check for extras in various places. Part of the problem here is that we
treated editables as URL dependencies, but when we saw an _extra_ like
`attrs[dev]`, we didn't map that back to the URL. So now, we treat them
as registry dependencies, but with the appropriate guardrails
throughout.
Closes https://github.com/astral-sh/uv/issues/1447.
## Test Plan
- Cloned `attrs`.
- Ran `cargo run venv && cargo run pip install -e ".[dev]" -v`.
There was not much benefit to avoiding the new download (and it was
broken in some Windows compatibility work) and this ensures there are
_only_ the versions we specified
First, replace all usages in files in-place. I used my editor for this.
If someone wants to add a one-liner that'd be fun.
Then, update directory and file names:
```
# Run twice for nested directories
find . -type d -print0 | xargs -0 rename s/puffin/uv/g
find . -type d -print0 | xargs -0 rename s/puffin/uv/g
# Update files
find . -type f -print0 | xargs -0 rename s/puffin/uv/g
```
Then add all the files again
```
# Add all the files again
git add crates
git add python/uv
# This one needs a force-add
git add -f crates/uv-trampoline
```
Instead of dropping versions without a compatible distribution, we track
them as incompatibilities in the solver. This implementation follows
patterns established in https://github.com/astral-sh/puffin/pull/1290.
This required some significant refactoring of how we track incompatible
distributions. Notably:
- `Option<TagPriority>` is now `WheelCompatibility` which allows us to
track the reason a wheel is incompatible instead of just `None`.
- `Candidate` now has a `CandidateDist` with `Compatible` and
`Incompatibile` variants instead of just `ResolvableDist`; candidates
are not strictly compatible anymore
- `ResolvableDist` was renamed to `CompatibleDist`
- `IncompatibleWheel` was given an ordering implementation so we can
track the "most compatible" (but still incompatible) wheel. This allows
us to collapse the reason a version cannot be used to a single
incompatibility.
- The filtering in the `VersionMap` is retained, we still only store one
incompatible wheel per version. This is sufficient for error reporting.
- A `TagCompatibility` type was added for tracking which part of a wheel
tag is incompatible
- `Candidate::validate_python` moved to
`PythonRequirement::validate_dist`
I am doing more refactoring in #1298 — I think a couple passes will be
necessary to clarify the relationships of these types.
Includes improved error message snapshots for multiple incompatible
Python tag types from #1285 — we should add more scenarios for coverage
of behavior when multiple tags with different levels are present.
We use
- An arbitrary ABI hash: `MMMMMM` (six base64 characters)
- An unlikely Jython27 Python tag
For cases that are valid but are never going to be available during
tests.
See https://github.com/zanieb/packse/pull/109
Run `cargo test` on windows in CI, pulling the switch on tier 1 windows
support.
These changes make the bootstrap script virtually required for running
the tests. This gives us consistency between and CI, but it also locks
our tests to python-build-standalone and an articificial `PATH`.
I've deleted the shell bootstrap script in favor of only the python one,
which also runs on windows. I've left the (sym)link creation of the
bootstrap in place, even though it is not used by the tests anymore.
I've reactivated the three tests that would previously stack overflow by
doubling their stack sizes. The stack overflows only happen in debug
mode, so this is neither a user facing problem nor an actual problem
with our code and this workaround seems better than optimizing our code
for case that the (release) compiler can optimize much better for.
The handling of patch versions will be fixed in a follow-up PR.
Closes#1160Closes#1161
---------
Co-authored-by: Charlie Marsh <charlie.r.marsh@gmail.com>
There are no binary installers for the latests patch versions of cpython
for windows, and building them is hard. As an alternative, we download
python-build-standanlone cpythons and put them into `<project
root>/bin`. On unix, we can symlink `pythonx.y.z` into this directory
and point `PUFFIN_PYTHON_PATH` to it. On windows, all pythons are called
`python.exe` and they don't like being linked. Instead, we add the path
to each directory containing a `python.exe` to `PUFFIN_PYTHON_PATH`,
similar to the regular `PATH`. The python discovery on windows was
extended to respect `PUFFIN_PYTHON_PATH` where needed.
These changes mean that we don't need to (sym)link pythons anymore and
could drop that part to the script.
435 tests run: 389 passed (21 slow), 46 failed, 1 skipped
Windows doesn't support symlinks, doesn't use a `bin` directory and all
pythons are called `python.exe`.
Note that this is still broken, `.\bin\python3.10.13` is missing its
.exe extension and renaming it to `.\bin\python3.10.13.exe` makes it
complain about not finding python310.dll.
In the scenario tests, we want to make sure we're actually conforming to
the scenario's expectations, so we now have an extra assertion on
whether resolution failed or succeeded as well as that it includes the
given packages.
Closes#1112Closes#1030
We need more flexible filters than those `inta` offers, and `insta_cmd`
makes it impossible to plug in programmatic filters. At the same time we
use barely any of `insta_cmd`'s features. We can replace the subset we
need in about 50 loc.
