Fix downgrade sublibrary bounds

[ChrisRackauckas-Claude]

This PR should be ignored until reviewed by @ChrisRackauckas.

Summary

• add missing downgrade resolver floors for affected sublibraries
• move OptimizationQuadDIRECT to a custom downgrade job that restores URL-sourced packages after downgrade-compat
• raise PythonCall floor for OptimizationSciPy downgrade testing

Local verification

Downgrade worker ran Julia 1.10 downgrade/test cycles locally with allow_reresolve=false and observed:

• OptimizationBBO: Core | 25 pass / 25 total
• OptimizationNOMAD: Core | 4 pass / 4 total
• SimpleOptimization: Core | 7 pass / 7 total
• OptimizationEvolutionary: Core | 32 pass / 32 total
• OptimizationNLPModels: Core | 10 pass / 10 total
• OptimizationSciPy: Core | 160 pass, 1 broken / 161 total
• OptimizationQuadDIRECT: Core | 1 pass / 1 total after the URL-source repair step

I also reran after rebasing onto 08023d357:

git diff --check origin/master..HEAD
# no output

ruby -e 'require "yaml"; YAML.load_file(".github/workflows/DowngradeSublibraries.yml"); puts "yaml ok"'\nyaml ok\n\nJULIA_DEPOT_PATH="$PWD/.julia_depot_runic" TMPDIR="$PWD/.tmp" timeout 3600 /home/crackauc/.juliaup/bin/julia +1.12 --startup-file=no -e 'import Pkg; Pkg.activate(".tmp/runic_env"); Pkg.add("Runic"); using Runic; exit(Runic.main(["--check", ".github", "docs", "src", "test", "lib"]))'\n# exit code 0\n```

[ChrisRackauckas-Claude]

Follow-up pushed in b9b48c878.

Local checks run before pushing:

• OptimizationMadNLP Core on Julia 1.10 with SciMLBase v2.146.0 lower-bound scratch env: Core | 97 pass, 1 broken, 98 total in 14m25s; Pkg.test("OptimizationMadNLP"; coverage=false, allow_reresolve=false) exited 0.
• SimpleOptimization Core with exact SimpleNonlinearSolve v2.12.0: Core | 7 pass, 7 total; exited 0.
• git diff --check: passed.
• .github/workflows/DowngradeSublibraries.yml YAML parse: passed.
• Runic check on changed Julia files: passed.

Scope note: this PR is based directly on master and no longer carries the OptimizationEvolutionary multi-objective test fixes. Those are in #1250. I locally tested re-adding only the Evolutionary downgrade compat here, but OptimizationEvolutionary Core still fails on the same multi-objective assertions without #1250, so I left #1252 scoped to the non-Evolutionary downgrade follow-ups rather than duplicating #1250.

[ChrisRackauckas-Claude]

Follow-up pushed in 9d21667d0.

Additional CI-equivalent local checks run in scratch clones after applying the patch and running julia-actions/julia-downgrade-compat@v2 with the skip lists from the failing jobs:

• lib/OptimizationMadNLP: downgrade rewrite succeeded; Pkg.test(; coverage=true, julia_args=["--check-bounds=yes", "--compiled-modules=yes", "--depwarn=yes"], force_latest_compatible_version=false, allow_reresolve=false) passed with Core | 97 pass, 1 broken, 98 total in 15m06s.
• lib/OptimizationSciPy: downgrade rewrite succeeded with PythonCall v0.9.30; the same CI-equivalent Pkg.test passed with Core | 160 pass, 1 broken, 161 total in 1m21s.
• Separate probe: PythonCall v0.9.30 with SciMLBase v2.122.1 precompiled SciMLBasePythonCallExt successfully; PythonCall v0.9.29 is the version that failed in CI.

The remaining OptimizationEvolutionary failures on this branch are still expected until #1250 is included/merged, since the multi-objective test fixes live there rather than being duplicated here.

[ChrisRackauckas-Claude]

CI follow-up on 9d21667d0: the fresh GitHub run now has the targeted downgrade fixes green:

• downgrade-sublibraries / test (lib/OptimizationMadNLP): success
• downgrade-sublibraries / test (lib/OptimizationSciPy): success
• downgrade-sublibraries / test (lib/SimpleOptimization): success
• non-downgrade MadNLP/SciPy/SimpleOptimization sublibrary jobs observed so far are also green

Remaining failures are outside this PR commit:

• OptimizationEvolutionary Core/downgrade: covered by Fix OptimizationEvolutionary multi-objective core tests #1250
• OptimizationBase [QA]: covered by Avoid non-public promote_op in OptimizationBase #1249 (Base.promote_op public access)
• OptimizationSophia and DiffEqFlux: both fail while precompiling SciMLBaseFunctionPropertiesExt / SciMLSensitivity with UndefVarError: islinear not defined in FunctionProperties; I started a separate clean-master investigation for that base/dependency issue.