Update JET requirement from 0.9, 0.10, 0.11 to 0.9, 0.12 in the all-julia-packages group across 1 directory

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Updates the requirements on JET to permit the latest version.
Updates JET to 0.12.0

Release notes

Sourced from JET's releases.

v0.12.0

JET v0.12.0

Diff since v0.11.6

Added

• Added support for Julia v1.13.
• Added JET.JET_AVAILABLE so test suites can skip JET checks when only empty stubs are available. See the new Julia compatibility and versioning policy.

Changed

• Breaking: JET no longer accepts Julia compiler parameter keywords such as max_methods and inlining as user-facing configuration options for analysis entry points; such keywords now throw JETConfigError.
• Module matchers for the target_modules/ignored_modules configurations now follow lexical module nesting that stops at namespace roots: Base is no longer considered a submodule of Main. target_modules = (Main,) therefore matches only code defined interactively in the REPL or in an analyzed script, instead of also matching every report from Base.
• JET now loads empty stubs on unsupported future Julia versions while remaining installable as a test dependency.
• Overhauled JET's documentation across the project.
• Improved the implementation of optimization analysis to make it more robust.

Removed

• Breaking: Removed support for .JET.toml configuration files, including the parent-directory file lookup that report_file performed. A single configuration file could not be shared between analyzers that accept different configuration sets, and some configurations could not even be specified through the file at all. All analysis configurations are now specified via keyword arguments of each entry point.
• Breaking: Removed the experimental watch_file entry point. Use JETLS.jl for interactive diagnostics.
• Breaking: Removed the report_package(::AbstractString) and report_package() entry points (and the corresponding test_package forms), which had been deprecated since v0.11. Load the target package first and pass its module directly, e.g. report_package(PkgModule).
• Breaking: Removed the target_defined_modules configuration, which had been deprecated since v0.11. Use the more flexible target_modules configuration instead, e.g. target_modules=(PkgModule,).
• Breaking: Removed the fullpath printing configuration, which had been deprecated since v0.11. Use sourceinfo=:full instead.

Fixed

• aviatesk/JET.jl#840 thanks @​PatrickHaecker).
• Fixed report_package to analyze definitions from source files included into multiple modules.

... (truncated)

Changelog

Sourced from JET's changelog.

[0.12.0]

Added

• Added support for Julia v1.13.
• Added JET.JET_AVAILABLE so test suites can skip JET checks when only empty stubs are available. See the new Julia compatibility and versioning policy.

Changed

• Breaking: JET no longer accepts Julia compiler parameter keywords such as max_methods and inlining as user-facing configuration options for analysis entry points; such keywords now throw JETConfigError.
• Module matchers for the target_modules/ignored_modules configurations now follow lexical module nesting that stops at namespace roots: Base is no longer considered a submodule of Main. target_modules = (Main,) therefore matches only code defined interactively in the REPL or in an analyzed script, instead of also matching every report from Base.
• JET now loads empty stubs on unsupported future Julia versions while remaining installable as a test dependency.
• Overhauled JET's documentation across the project.
• Improved the implementation of optimization analysis to make it more robust.

Removed

• Breaking: Removed support for .JET.toml configuration files, including the parent-directory file lookup that report_file performed. A single configuration file could not be shared between analyzers that accept different configuration sets, and some configurations could not even be specified through the file at all. All analysis configurations are now specified via keyword arguments of each entry point.
• Breaking: Removed the experimental watch_file entry point. Use JETLS.jl for interactive diagnostics.
• Breaking: Removed the report_package(::AbstractString) and report_package() entry points (and the corresponding test_package forms), which had been deprecated since v0.11. Load the target package first and pass its module directly, e.g. report_package(PkgModule).
• Breaking: Removed the target_defined_modules configuration, which had been deprecated since v0.11. Use the more flexible target_modules configuration instead, e.g. target_modules=(PkgModule,).
• Breaking: Removed the fullpath printing configuration, which had been deprecated since v0.11. Use sourceinfo=:full instead.

Fixed

• aviatesk/JET.jl#840 thanks @​PatrickHaecker).
• Fixed report_package to analyze definitions from source files included into multiple modules.
• Fixed races between report_package and concurrent Revise package tracking or revision.

... (truncated)

Commits

• See full diff in compare view

[codecov]

Codecov Report

❌ Patch coverage is 64.00000% with 9 lines in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
src/tensors/abstracttensor.jl	0.00%	4 Missing ⚠️
src/auxiliary/caches.jl	90.00%	1 Missing ⚠️
src/planar/macros.jl	0.00%	1 Missing ⚠️
src/planar/preprocessors.jl	66.66%	1 Missing ⚠️
src/tensors/adjoint.jl	0.00%	1 Missing ⚠️
src/tensors/tensor.jl	0.00%	1 Missing ⚠️

Files with missing lines	Coverage Δ
src/auxiliary/iterators.jl	100.00% <100.00%> (ø)
src/fusiontrees/duality_manipulations.jl	96.12% <100.00%> (+0.25%)	⬆️
src/fusiontrees/fusiontrees.jl	96.66% <ø> (ø)
src/pullbacks/tensoroperations.jl	100.00% <ø> (ø)
src/spaces/productspace.jl	87.89% <100.00%> (ø)
src/tensors/indexmanipulations.jl	90.43% <ø> (ø)
src/tensors/linalg.jl	82.88% <ø> (ø)
src/tensors/tensoroperations.jl	97.37% <100.00%> (ø)
src/auxiliary/caches.jl	89.28% <90.00%> (-0.25%)	⬇️
src/planar/macros.jl	84.26% <0.00%> (ø)
... and 4 more

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[lkdvos]

Can't do this just yet, since Mooncake is blocking the update for now.

[lkdvos]

Linking this here so we're updated when it happens:
chalk-lab/Mooncake.jl#1261

[lkdvos]

Enabling the JET 0.12 whole-package analysis (other/jet) turned up more than the compat bump. Splitting what changed here into real fixes and analyser-only adjustments.

Resolving JET went from 30 reports → 0.

Real bugs, surfaced and fixed

These were all latent — untested code paths that would have thrown UndefVarError or produced a wrong result.

Fix	Bug
src/tensors/tensor.jl	randn(rng, T, V) for a single TensorSpace built codomain ← one(domain), referring to the function domain rather than a variable. Every rand/randn/randexp/randisometry with an explicit rng and eltype on a single space threw. Now one(codomain).
src/planar/macros.jl	@planar … order=(…) called a bare normalizeindex, which does not exist in TensorKit — the kwarg was an outright UndefVarError. Now TO.normalizeindex. Nothing in the test suite exercises order=, which is why it went unnoticed.
src/tensors/linalg.jl	absorb! threw DimensionError on an index-count mismatch. No such type exists anywhere in TensorKit; the error path itself errored. Now IndexError, matching the neighbouring planaroperations.jl messages.
src/planar/preprocessors.jl	The fallback in _extract_contraction_pairs interpolated $ex into its ArgumentError, but the argument is named rhs. Now $rhs.
src/tensors/abstracttensor.jl	Signature-only docstrings for getindex/setindex! needed argument names to survive the analysis.
src/tensors/abstracttensor.jl	numin(T::Type)/numout(T::Type) threw MethodError(numin, T) — but MethodError's second field is the argument tuple, not a type, so the resulting error could not be printed: numin(Int) on main throws an exception whose showerror itself fails. Now (T,). Pre-existing and independent of JET; found while writing the bottom-type methods below.
src/tensors/abstracttensor.jl, src/tensors/adjoint.jl	numin/numout are genuinely ambiguous at Type{Union{}} (three parametric Type{<:…} methods all match with undetermined static parameters), so numind(Union{}) raised an ambiguity error rather than the intended MethodError. Explicit bottom-type methods resolve it. Worth noting Aqua.test_ambiguities does not catch this — it does not probe the bottom type.

Two more real defects were found that are not ours to fix, so test/other/jet.jl filters them with a comment naming the upstream issue:

• schur_full/schur_vals on a DiagonalTensorMap are a MethodError. Schur reuses eig's algorithm selection, which routes Diagonal to DiagonalAlgorithm, but schur has no such implementation. Reproduces with a plain LinearAlgebra.Diagonal and no TensorKit involved → schur_full/schur_vals select DiagonalAlgorithm for Diagonal but it is not implemented MatrixAlgebraKit.jl#276.
• local variable kwargs may be undefined in GenericTreeTransformer, coming entirely from Base's @debug expansion (local msg, kwargs bound inside a short-circuit guard), despite Base inserting @assert @isdefined(kwargs) for exactly this purpose → False-positive local variable kwargs may be undefined from Base's @debug/@info expansion, despite its @assert @isdefined hint aviatesk/JET.jl#860.

Changes purely to satisfy the analyser

No behaviour change in any of these; every one is a false positive where the code was already correct.

local variable … may be undefined — correct code JET cannot prove. The pattern is a value assigned in one branch and guarded by a separate boolean flag, or by a throw below the loop.

• src/auxiliary/caches.jl (8 reports) — @cached tracked hasparams/typed flags alongside params/typeex. Replaced with nothing sentinels and isnothing checks, so there is one source of truth instead of two correlated variables.
• src/fusiontrees/duality_manipulations.jl (5) — planar_trace's local i, j are set in a loop that breaks, with the no-break path caught by the k > length(q₁) && throw guard. Now initialised to 0; the throw guarantees the sentinel is never read.
• src/planar/preprocessors.jl (4) — _construct_braidingtensors! used foundV1/foundV2 flags; same sentinel treatment.

Over-wide signatures. report_package analyses every declared signature, so untyped arguments get analysed at Any and produce unreachable union arms.

• src/tensors/tensoroperations.jl (1) — _trace_permute! had untyped tdst/tsrc, so JET widened tsrc to Union{AbstractTensorMap, HomSpace} and the HomSpace arm has no getindex(::HomSpace, ::FusionTree, ::FusionTree). The only caller already passes tensor maps; annotated to match.
• src/pullbacks/tensoroperations.jl (1) — same for trace_permute_pullback_ΔA!: with A::Any, tensoralloc_add could return a plain array and twist! has only an AbstractTensorMap method. Annotated the primal arguments only across all three pullbacks — the Δ arguments must stay untyped, since Mooncake passes a tangent from arrayify and Enzyme passes A.dval.

Inference imprecision at abstract signatures.

• src/fusiontrees/fusiontrees.jl (2) — fusiontensor(::FusionTreePair) infers concretely at every real call; only the declared abstract signature widens size(F₁) to Any, after which TupleTools.front splits over Base.front's Tuple/NamedTuple methods and the NamedTuple arm has no prod. Sidestepped by letting reshape compute the leading dimension with : instead of TupleTools.prod(front(size(…))) — shorter, and the product no longer appears at all. Verified equivalent to the previous form over 29 fusion-tree pairs across Trivial, Z2, Z3, U1, SU2 and FermionParity ⊠ U1.
• src/auxiliary/iterators.jl (1) — OneOrNoneIterator's state && it.cond is a TypeError for a non-Bool state, and blocksectors(::CompositeSpace) infers as Union{OneOrNoneIterator{Trivial}, Vector}, so the loop state widens to Union{Bool, Int64}. isone(state) is Bool for any state and keeps the existing Bool default. Note this one is defensive rather than cosmetic: nothing constrains what a caller passes as state.

src/spaces/productspace.jl is unrelated to JET — I == Trivial → I === Trivial for consistency with the other 18 sites.

Considered and rejected

• Making blocksectors(::ProductSpace) dispatch on sectortype instead of the runtime if I === Trivial: measured as pure churn. Julia already constant-folds that branch — every concrete space infers a single concrete type — and a dispatch-based version produces the identical union at the abstract signature, so it fixes nothing.
• size(F₁)::Tuple in fusiontensor: works, but it is a type assertion added solely for the analyser. The reshape(…, :, …) form above is a genuine simplification instead.
• parenttype(::Type{Union{}}) = Union{}: silences the report, but feeds Union{} back into default_algorithm, which re-enters the same method — an infinite loop if ever reached. Throwing matches the intent of the neighbouring # avoid infinite recursion fallbacks.

Verification

• JET.report_package(TensorKit; target_modules = (TensorKit,)) with the two filters: No errors detected
• symmetries, tensors, other: 73903 pass, 0 fail
• mooncake/tangent (which reaches JET through Mooncake's extension): 6912 pass

One thing worth a second opinion: Mooncake = "0.5.45" in test/Project.toml is load-bearing rather than cosmetic. Mooncake ≤ 0.5.44 caps JET = "0.9 - 0.11", so without that floor the resolver is free to settle on JET 0.11, and the jet_new_generation gate in runtests.jl then silently drops other/jet — the analysis would simply never run in CI rather than failing visibly.

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