Whew this is a lot.
The user-facing changes are:
- `uv toolchain` to `uv python` e.g. `uv python find`, `uv python
install`, ...
- `UV_TOOLCHAIN_DIR` to` UV_PYTHON_INSTALL_DIR`
- `<UV_STATE_DIR>/toolchains` to `<UV_STATE_DIR>/python` (with
[automatic
migration](https://github.com/astral-sh/uv/pull/4735/files#r1663029330))
- User-facing messages no longer refer to toolchains, instead using
"Python", "Python versions" or "Python installations"
The internal changes are:
- `uv-toolchain` crate to `uv-python`
- `Toolchain` no longer referenced in type names
- Dropped unused `SystemPython` type (previously replaced)
- Clarified the type names for "managed Python installations"
- (more little things)
## Summary
This would be a lightweight solution to
https://github.com/astral-sh/uv/issues/4307 that doesn't fully engage
with all the possibilities in the design space (but would unblock
cross-platform for now).
When creating a lockfile, lock the combined dependencies for all
packages in a workspace. This make the lockfile independent of where you
are in the workspace.
Fixes#3983
## Summary
I don't think it's worth maintaining this separate test harness for ~18
tests, when they can all be tested in the `uv` package itself. Let's
drop the maintenance burden.
Pubgrub stores incompatibilities as (package name, version range)
tuples, meaning it needs to clone the package name for each
incompatibility, and each non-borrowed operation on incompatibilities.
https://github.com/astral-sh/uv/pull/3673 made me realize that
`PubGrubPackage` has gotten large (expensive to copy), so like `Version`
and other structs, i've added an `Arc` wrapper around it.
It's a pity clippy forbids `.deref()`, it's less opaque than `&**` and
has IDE support (clicking on `.deref()` jumps to the right impl).
## Benchmarks
It looks like this matters most for complex resolutions which, i assume
because they carry larger `PubGrubPackageInner::Package` and
`PubGrubPackageInner::Extra` types.
```bash
hyperfine --warmup 5 "./uv-main pip compile -q ./scripts/requirements/jupyter.in" "./uv-branch pip compile -q ./scripts/requirements/jupyter.in"
hyperfine --warmup 5 "./uv-main pip compile -q ./scripts/requirements/airflow.in" "./uv-branch pip compile -q ./scripts/requirements/airflow.in"
hyperfine --warmup 5 "./uv-main pip compile -q ./scripts/requirements/boto3.in" "./uv-branch pip compile -q ./scripts/requirements/boto3.in"
```
```
Benchmark 1: ./uv-main pip compile -q ./scripts/requirements/jupyter.in
Time (mean ± σ): 18.2 ms ± 1.6 ms [User: 14.4 ms, System: 26.0 ms]
Range (min … max): 15.8 ms … 22.5 ms 181 runs
Benchmark 2: ./uv-branch pip compile -q ./scripts/requirements/jupyter.in
Time (mean ± σ): 17.8 ms ± 1.4 ms [User: 14.4 ms, System: 25.3 ms]
Range (min … max): 15.4 ms … 23.1 ms 159 runs
Summary
./uv-branch pip compile -q ./scripts/requirements/jupyter.in ran
1.02 ± 0.12 times faster than ./uv-main pip compile -q ./scripts/requirements/jupyter.in
```
```
Benchmark 1: ./uv-main pip compile -q ./scripts/requirements/airflow.in
Time (mean ± σ): 153.7 ms ± 3.5 ms [User: 165.2 ms, System: 157.6 ms]
Range (min … max): 150.4 ms … 163.0 ms 19 runs
Benchmark 2: ./uv-branch pip compile -q ./scripts/requirements/airflow.in
Time (mean ± σ): 123.9 ms ± 4.6 ms [User: 152.4 ms, System: 133.8 ms]
Range (min … max): 118.4 ms … 138.1 ms 24 runs
Summary
./uv-branch pip compile -q ./scripts/requirements/airflow.in ran
1.24 ± 0.05 times faster than ./uv-main pip compile -q ./scripts/requirements/airflow.in
```
```
Benchmark 1: ./uv-main pip compile -q ./scripts/requirements/boto3.in
Time (mean ± σ): 327.0 ms ± 3.8 ms [User: 344.5 ms, System: 71.6 ms]
Range (min … max): 322.7 ms … 334.6 ms 10 runs
Benchmark 2: ./uv-branch pip compile -q ./scripts/requirements/boto3.in
Time (mean ± σ): 311.2 ms ± 3.1 ms [User: 339.3 ms, System: 63.1 ms]
Range (min … max): 307.8 ms … 317.0 ms 10 runs
Summary
./uv-branch pip compile -q ./scripts/requirements/boto3.in ran
1.05 ± 0.02 times faster than ./uv-main pip compile -q ./scripts/requirements/boto3.in
```
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## Summary
This PR introduces parallelism to the resolver. Specifically, we can
perform PubGrub resolution on a separate thread, while keeping all I/O
on the tokio thread. We already have the infrastructure set up for this
with the channel and `OnceMap`, which makes this change relatively
simple. The big change needed to make this possible is removing the
lifetimes on some of the types that need to be shared between the
resolver and pubgrub thread.
A related PR, https://github.com/astral-sh/uv/pull/1163, found that
adding `yield_now` calls improved throughput. With optimal scheduling we
might be able to get away with everything on the same thread here.
However, in the ideal pipeline with perfect prefetching, the resolution
and prefetching can run completely in parallel without depending on one
another. While this would be very difficult to achieve, even with our
current prefetching pattern we see a consistent performance improvement
from parallelism.
This does also require reverting a few of the changes from
https://github.com/astral-sh/uv/pull/3413, but not all of them. The
sharing is isolated to the resolver task.
## Test Plan
On smaller tasks performance is mixed with ~2% improvements/regressions
on both sides. However, on medium-large resolution tasks we see the
benefits of parallelism, with improvements anywhere from 10-50%.
```
./scripts/requirements/jupyter.in
Benchmark 1: ./target/profiling/baseline (resolve-warm)
Time (mean ± σ): 29.2 ms ± 1.8 ms [User: 20.3 ms, System: 29.8 ms]
Range (min … max): 26.4 ms … 36.0 ms 91 runs
Benchmark 2: ./target/profiling/parallel (resolve-warm)
Time (mean ± σ): 25.5 ms ± 1.0 ms [User: 19.5 ms, System: 25.5 ms]
Range (min … max): 23.6 ms … 27.8 ms 99 runs
Summary
./target/profiling/parallel (resolve-warm) ran
1.15 ± 0.08 times faster than ./target/profiling/baseline (resolve-warm)
```
```
./scripts/requirements/boto3.in
Benchmark 1: ./target/profiling/baseline (resolve-warm)
Time (mean ± σ): 487.1 ms ± 6.2 ms [User: 464.6 ms, System: 61.6 ms]
Range (min … max): 480.0 ms … 497.3 ms 10 runs
Benchmark 2: ./target/profiling/parallel (resolve-warm)
Time (mean ± σ): 430.8 ms ± 9.3 ms [User: 529.0 ms, System: 77.2 ms]
Range (min … max): 417.1 ms … 442.5 ms 10 runs
Summary
./target/profiling/parallel (resolve-warm) ran
1.13 ± 0.03 times faster than ./target/profiling/baseline (resolve-warm)
```
```
./scripts/requirements/airflow.in
Benchmark 1: ./target/profiling/baseline (resolve-warm)
Time (mean ± σ): 478.1 ms ± 18.8 ms [User: 482.6 ms, System: 205.0 ms]
Range (min … max): 454.7 ms … 508.9 ms 10 runs
Benchmark 2: ./target/profiling/parallel (resolve-warm)
Time (mean ± σ): 308.7 ms ± 11.7 ms [User: 428.5 ms, System: 209.5 ms]
Range (min … max): 287.8 ms … 323.1 ms 10 runs
Summary
./target/profiling/parallel (resolve-warm) ran
1.55 ± 0.08 times faster than ./target/profiling/baseline (resolve-warm)
```
This only makes hashes optional for wheels/sdists that come from
registires or direct URLs. For wheels/sdists that come from other
sources, a hash should not be present.
For path dependencies, a hash should not be present because the state of
the path dependency is not intended to be tracked in the lock file. This
is consistent with how other tools deal with path dependencies, and if
it were otherwise, the hash would I believe need to be updated for every
change to the path dependency.
For git dependencies (source dists only), a hash should not be present
because the lock will contain the specific commit revision hash. This is
functionally equivalent to a hash, and so a hash is redundant.
As part of this change, we validate the presence or absence of a hash
based on the dependency source. We also add our first regression tests.
In *some* places in our crates, `serde` (and `rkyv`) are optional
dependencies. I believe this was done out of reasons of "good sense,"
that is, it follows a Rust ecosystem pattern where serde integration
tends to be an opt-in crate feature. (And similarly for `rkyv`.)
However, ultimately, `uv` itself requires `serde` and `rkyv` to
function. Since our crates are strictly internal, there are limited
consumers for our crates without `serde` (and `rkyv`) enabled. I think
one possibility is that optional `serde` (and `rkyv`) integration means
that someone can do this:
cargo test -p pep440_rs
And this will run tests _without_ `serde` or `rkyv` enabled. That in
turn could lead to faster iteration time by reducing compile times. But,
I'm not sure this is worth supporting. The iterative compilation times
of
individual crates are probably fast enough in debug mode, even with
`serde` and `rkyv` enabled. Namely, `serde` and `rkyv` themselves
shouldn't need to be re-compiled in most cases. On `main`:
```
from-scratch: `cargo test -p pep440_rs --lib` 0.685
incremental: `cargo test -p pep440_rs --lib` 0.278s
from-scratch: `cargo test -p pep440_rs --features serde,rkyv --lib` 3.948s
incremental: `cargo test -p pep440_rs --features serde,rkyv --lib` 0.321s
```
So while a from-scratch build does take significantly longer, an
incremental build is about the same.
The benefit of doing this change is two-fold:
1. It brings out crates into alignment with "reality." In particular,
some crates were _implicitly_ relying on `serde` being enabled
without explicitly declaring it. This technically means that our
`Cargo.toml`s were wrong in some cases, but it is hard to observe it
because of feature unification in a Cargo workspace.
2. We no longer need to deal with the cognitive burden of writing
`#[cfg_attr(feature = "serde", ...)]` everywhere.
Previously, uv-auth would fail to compile due to a missing process
feature. I chose to make all tokio features we use top level features,
so we can share the tokio cache between all test invocations.
## Summary
This PR adds basic struct definitions along with a "workspace" concept
for discovering settings. (The "workspace" terminology is used to match
Ruff; I did not invent it.)
A few notes:
- We discover any `pyproject.toml` or `uv.toml` file in any parent
directory of the current working directory. (We could adjust this to
look at the directories of the input files.)
- We don't actually do anything with the configuration yet; but those
PRs are large and I want this to be reviewed in isolation.
Needed to prevent circular dependencies in my toolchain work (#2931). I
think this is probably a reasonable change as we move towards persistent
configuration too?
Unfortunately `BuildIsolation` needs to be in `uv-types` to avoid
circular dependencies still. We might be able to resolve that in the
future.
This is driving me a little crazy and is becoming a larger problem in
#2596 where I need to move more types (like `Upgrade` and `Reinstall`)
into this crate. Anything that's shared across our core resolver,
install, and build crates needs to be defined in this crate to avoid
cyclic dependencies. We've outgrown it being a single file with some
shared traits.
There are no behavioral changes here.
With https://github.com/pubgrub-rs/pubgrub/pull/190, pubgrub attaches
all types to a dependency provider to reduce the number of generics. We
need a dummy dependency provider now to emulate this. On the plus side,
pep440_rs drops its pubgrub dependency.
Scott schafer got me the idea: We can avoid repeating the path for
workspaces dependencies everywhere if we declare them in the virtual
package once and treat them as workspace dependencies from there on.
## Summary
I tried out `cargo shear` to see if there are any unused dependencies
that `cargo udeps` isn't reporting. It turned out, there are a few. This
PR removes those dependencies.
## Test Plan
`cargo build`
## Summary
When a user runs with `--output-file` and `--generate-hashes`, we should
_only_ update the hashes if the pinned version itself changes.
Closes https://github.com/astral-sh/uv/issues/1530.
The architecture of uv does not necessarily match that of the python
interpreter (#2326). In cross compiling/testing scenarios the operating
system can also mismatch. To solve this, we move arch and os detection
to python, vendoring the relevant pypa/packaging code, preventing
mismatches between what the python interpreter was compiled for and what
uv was compiled for.
To make the scripts more manageable, they are now a directory in a
tempdir and we run them with `python -m` . I've simplified the
pypa/packaging code since we're still building the tags in rust. A
`Platform` is now instantiated by querying the python interpreter for
its platform. The pypa/packaging files are copied verbatim for easier
updates except a `lru_cache()` python 3.7 backport.
Error handling is done by a `"result": "success|error"` field that allow
passing error details to rust:
```console
$ uv venv --no-cache
× Can't use Python at `/home/konsti/projects/uv/.venv/bin/python3`
╰─▶ Unknown operation system `linux`
```
I've used the [maturin sysconfig
collection](https://github.com/PyO3/maturin/tree/855f6d2cb1fb8fb43c2bb9e500ab0e5e84bd3140/sysconfig)
as reference. I'm unsure how to test these changes across the wide
variety of platforms.
Fixes#2326
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
```
Zanie Blue