Make the local packse workflow work again:
```
# In packse:
uv run --extra index --extra serve packse serve --no-hash scenarios &
# In uv:
UV_TEST_INDEX_URL="http://localhost:3141/simple/" ./scripts/scenarios/generate.py
```
Bugs fixed:
* The default scenario pattern didn't match anything.
* The snapshot update test command was wrong since the test
centralization
* Snapshot update failures would not be reported
Implement a full working version of local version semantics. The (AFAIA)
major move towards this was implemented in #2430. This added support
such that the version specifier `torch==2.1.0+cpu` would install
`torch@2.1.0+cpu` and consider `torch@2.1.0+cpu` a valid way to satisfy
the requirement `torch==2.1.0` in further dependency resolution.
In this feature, we more fully support local version semantics. Namely,
we now allow `torch==2.1.0` to install `torch@2.1.0+cpu` regardless of
whether `torch@2.1.0` (no local tag) actually exists.
We do this by adding an internal-only `Max` value to local versions that
compare greater to all other local versions. Then we can translate
`torch==2.1.0` into bounds: greater than 2.1.0 with no local tag and
less than 2.1.0 with the `Max` local tag.
Depends on https://github.com/astral-sh/packse/pull/227.
As per
https://matklad.github.io/2021/02/27/delete-cargo-integration-tests.html
Before that, there were 91 separate integration tests binary.
(As discussed on Discord — I've done the `uv` crate, there's still a few
more commits coming before this is mergeable, and I want to see how it
performs in CI and locally).
Every packse version update is currently causing a huge diff (the size
of the `lock_scenarios.rs` diff in this PR). By redacting the version
from the snapshots, we will only have the actual change in the diff and
not the redundant version change noise.
The second commit moves all remaining packse url arg values to
`common/mod.rs`, which acts as a single source of truth for the packse
version.
This commit adds a template and does some light surgery on `generate.py`
to make use of that template. In particular, the universal tests require
using the "workspace"-aware version of `uv`, so we can't use the
existing `uv pip {compile,install}` tests.
This is just the result of running
./scripts/sync_scenarios.sh
From the root of the `uv` repository.
When I initially ran this, it produced some tests with snapshots that
weren't being updated. It turned out this was because the tests weren't
running, as they were gated behind the `python-patch` feature. In this
commit, we add `python-patch` to our `cargo insta` command, which should
update all relevant snapshots.
There are still some superfluous updates as a result of a spell checker
being run on generated files, but
The sync scenarios script is broken, so i did the updates manually
```
$ ./scripts/sync_scenarios.sh
Setting up a temporary environment...
Using Python 3.12.1 interpreter at: /home/konsti/projects/uv/.venv/bin/python3
Creating virtualenv at: .venv
Activate with: source .venv/bin/activate
× No solution found when resolving dependencies:
╰─▶ Because docutils==0.21.post1 is unusable because the package metadata was inconsistent and you require docutils==0.21.post1, we can conclude that the requirements are unsatisfiable.
hint: Metadata for docutils==0.21.post1 was inconsistent:
Package metadata version `0.21` does not match given version `0.21.post1`
```
---------
Co-authored-by: Zanie Blue <contact@zanie.dev>
Add a single job for for fast lint tools. Rustfmt for rust, ruff for
python formatting and linting, prettier avoids inconsistent formatter
changes between pycharm and vscode.
## 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.
- 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)
Following #757, improves the script for generating scenario test cases
with:
- A requirements file
- Support for downloading packse scenarios from GitHub dynamically
- Running rustfmt on the generated test file
- Updating snapshots / running tests
As mentioned in #746, instead of just installing the scenario root we
will unpack the root dependencies into the install command to allow
better coverage of direct user requests with scenarios.
I added display of the package tree provided by each scenario.
Use a mustache template for iterative replacements.
Adds tests using packse test scenarios! Uses `test.pypi.org` as a
backing index.
Tests are generated by a simple Python script. Requires
https://github.com/zanieb/packse/pull/49.
This opens us to a slight attack surface, as we cannot force use of
`test.pypi.org` only and someone could register these package names on
the real `pypi.org` index with malicious content. I could publish these
packages there too.
