## Summary
This is a smaller alternative to #10794. If the `Requires-Dist` that we
extract statically doesn't match the lockfile metadata, we now go back
to the distribution database to double-check. Checking the
`Requires-Dist` is itself very cheap, so in the worst case, we're just
paying the same cost as prior to this optimization.
Closes https://github.com/astral-sh/uv/issues/10776.
## Summary
When resolving Git metadata, we may be able to fetch the metadata from
GitHub directly in some cases. This is _way_ faster, since we don't need
to perform many Git operations and, in particular, don't need to clone
the repo.
This only works in the following cases:
- The Git repository is public. Otherwise, I believe you need an access
token, which we don't have.
- The `pyproject.toml` has static metadata.
- The `pyproject.toml` has no `tool.uv.sources`. Otherwise, we need to
lower them... And, if there are any paths or workspace sources, that
requires an install path (i.e., we need the content on-disk).
- The project is in the repo root. If it's in a subdirectory, it could
be a workspace member. And if it's a workspace member, there could be
sources defined in the workspace root. But we can't know without
fetching the workspace root -- and we need the workspace in order to
find the root...
Closes#10568.
## Summary
These are very similar to (and computed in the same way as) the hints we
should during a failed resolution, but for install-time.
Closes#10635.
## Test Plan
As an example, when installing PyTorch on macOS with Python 3.13 (wheels
exist for Linux):
```
error: Distribution `torch==2.5.1 @ registry+https://pypi.org/simple` can't be installed because it doesn't have a source distribution or wheel for the current platform
hint: You're on macOS (`macosx_14_0_arm64`), but `torch` (v2.5.1) only has wheels for the following platform: `manylinux1_x86_64`
```
See https://github.com/astral-sh/uv/issues/4204 for motivation
This doesn't really reach the user experience I'd expect — i.e., we end
up saying a virtual environment "does not exist" which is a little
silly. However, I think improving the error messaging on interpreter
queries in general should be solved separately. I did one small
"general" change in
89e11d0222
— otherwise we don't show the message at all.
---------
Co-authored-by: konsti <konstin@mailbox.org>
## Summary
The fix I shipped in https://github.com/astral-sh/uv/pull/10690
regressed an important case. If we solve a PyPI branch before a PyTorch
branch, we'll end up respecting the preference, and choosing `2.2.2`
instead of `2.2.2+cpu`.
This PR goes back to ignoring preferences that don't map to the current
index. However, to solve https://github.com/astral-sh/uv/issues/10383,
we need to special-case `requirements.txt`, which can't provide explicit
indexes. So, if a preference comes from `requirements.txt`, we still
respect it.
Closes https://github.com/astral-sh/uv/issues/10772.
When using the standard Windows runners (as opposed to the _larger_
GitHub runners), an undocumented `D:` drive is available and performant.
We can save some money on by using this on a standard runner instead of
a larger runner with an ReFS drive. Switching to the `D:` drive was not
acceptable for `cargo test` >25m runtime.
Inspired by https://github.com/pypa/pip/pull/13129
See https://github.com/actions/runner-images/issues/8755
Timings (grain of salt — GitHub is super noisy):
- clippy: 2m 18s -> 2m 11s
- build binary: 2m 3s -> 2m 35s
- trampoline check (x86-64): 2m 32s -> 1m 50s (other architectures
similar)
- trampoline test (x86-64): 4m 12s -> 6m 7s
- trampoline test (i686): 6m 44s -> 5m 35s
## Summary
For example, `cargo run python install
cpython-3.12.8-linux-x86_64_v3-gnu` (on macOS) shouldn't attempt to
patch the dylib. At present, it leads to this warning:
```
warning: Failed to patch the install name of the dynamic library for /Users/crmarsh/.local/share/uv/python/cpython-3.12.8-linux-x86_64_v3-gnu/bin/python3.12. This may cause issues when building Python native extensions.
Underlying error: Failed to update the install name of the Python dynamic library located at `/Users/crmarsh/.local/share/uv/python/cpython-3.12.8-linux-x86_64_v3-gnu/lib/libpython3.12.dylib`
```
## Summary
We now respect environment variable-based authentication when the
explicit index is defined outside of the workspace root. This applies to
both local and Git-based projects.
Closes https://github.com/astral-sh/uv/issues/10680.
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
Fix invalid links in [configuring
projects](https://docs.astral.sh/uv/concepts/projects/config/#entry-points)
doc.
## Test Plan
<!-- How was it tested? -->
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## Summary
<!-- What's the purpose of the change? What does it do, and why? -->
The new ARM runners report a permission error:
```
Run uvx twine check wheelhouse/*
error: failed to open file `/home/runneradmin/.config/uv/uv.toml`: Permission denied (os error 13)
```
In this PR, a PermissionsError is treated like not finding the file.
I reworked the structure just a bit to avoid calling `err.kind()`
multiple times.
## Test Plan
<!-- How was it tested? -->
Added a UNIX only test where I set the permissions of the folder
containing the file and try to find it.
---------
Signed-off-by: Henry Schreiner <henryschreineriii@gmail.com>
## Summary
This has a few effects:
1. We only call `preferences` once, which should be more efficient.
2. We collect `preferences` into a vector when there are multiple. Less
efficient, but pretty rare?
3. We now correctly prefer preferences from the same index.
## Summary
A bug in `requires_python` (which infers the Python requirement from a
marker) was leading us to break an invariant around the relationship
between the marker environment and the Python requirement. This, in
turn, was leading us to drop parts of the environment space when
solving.
Specifically, in the linked example, we generated a fork for
`python_full_version < '3.10' or platform_python_implementation !=
'CPython'`, which was later split into `python_full_version == '3.8.*'`
and `python_full_version == '3.9.*'`, losing the
`platform_python_implementation != 'CPython'` portion.
Closes https://github.com/astral-sh/uv/issues/10669.
## Summary
We can retain the small-size advantage of our new tags by moving the
"unknown tag" case into `WheelTagLarge`. This ensures that we can still
represent unknown tags, but avoid paying the cost for them.
