…Op (#571)

* Maintenance overhaul: Python 3.14 support, drop 3.10, add IndexBinaryOp

Python version support:
- Add Python 3.14, drop 3.10 (minimum now 3.11)
- Update numba guards to python_version<'3.15' in pyproject.toml
- Update all tool target-versions (black, ruff, pylint, pyupgrade)

New feature:
- Add IndexBinaryOp: user-defined f(x,ix,jx,y,iy,jy,theta)->z operators
  that bind theta to produce BinaryOps for use in ewise operations
  (requires SuiteSparse:GraphBLAS >=9.4, guarded with hasattr)

Packaging modernization:
- PEP 639: license = "Apache-2.0" with license-files
- Bump setuptools >=77, numpy >=1.24, numba >=0.57
- Remove suitesparse-graphblas <10 upper bound (support psg 10.x)
- Deprecate fast_matrix_market (no longer maintained)

CI updates:
- Standardize all GitHub Actions to latest (checkout v6, setup-python v6,
  choose-random-action v4.1, pypi-publish v1.13)
- Add psg 10.x versions (10.0.1, 10.1.1, 10.3.1) to CI test matrix
- Fix graphblas C library constraint (remove <9.5 cap)
- Fix numba+numpy2 : numba >=0.62 now tested with numpy 2.x
- Split numba version overrides: 0.61+ for py3.13, 0.63+ for py3.14
- Update pre-commit hooks, flake8-bugbear, flake8-simplify
- Remove stale warning filters, update dependency version ranges

Multi-version SuiteSparse:GraphBLAS support:
- Handle GPU_ID->GPU_IDS rename in SS:GraphBLAS 10.2+ with hasattr guards
- Remove awkward v1 dead code, fix XXX error messages, update copyright
- Clean up stale MAINT comments and documentation references

* Oops, don't run test_indexbinary.py on older psg versions; fix psg constraint

* Fix more random version edges

* Fix JIT tests (hopefully), simplify CI dependency version selection

JIT:
- Fix JIT tests by auto-detecting conda compiler from $CONDA_PREFIX/bin/
  and stripping build-time -isysroot and -fdebug-prefix-map flags
- Replace ~70 lines of hardcoded per-platform JIT config with generic
  _fix_jit_config() that works on all platforms
- Tests now pytest.skip() when JIT unavailable (previously passed silently)
- Add scripts/jit_diagnostics.py for CI debugging

CI (test_and_build.yml):
- Restructure dependency version selection: pick numpy first, then
  choose other deps based on numpy 1.x vs 2.x, then apply constraints
- Remove psg 9.4.5 from Python 3.14 (no conda builds)
- Fix numba 0.63 + numpy 2.4 incompatibility (require numba 0.64)
- Remove suitesparse extras <10 cap in pyproject.toml
- Add psg 10.x versions to all test paths

* Fix bizarro scalar failures for IndexBinaryOp, improve JIT diagnostics

- Add `# pragma: is_grbscalar` to IndexBinaryOp theta scalar creation
  so bizarro scalars sed doesn't break GxB_BinaryOp_new_IndexOp (requires
  GrB_Scalar, not C scalar)
- Add burble and error log capture to JIT diagnostic script to reveal
  the actual compiler command and error on macOS ARM (still failing)
- Add more compiler fallback candidates (clang, gcc) in _fix_jit_config

* Fix CI failures: macOS JIT sysroot, dep version constraints, warning filter

JIT:
- Replace -isysroot with local macOS SDK via `xcrun --show-sdk-path`
  instead of stripping it (conda cross-compiler needs a sysroot)
- Move subprocess import to module level

CI dependency constraints:
- Add numpy 2.3+/scipy constraint (scipy <1.15.1 needs numpy <2.3)
- Move numba/numpy 2.4 constraint to be Python-version-independent
- Move upstream numpy override before dep selection to prevent stale
  scipy/pandas/awkward versions being chosen for numpy 1.x then
  overridden to numpy 2.x

Warning filter:
- Restore np.find_common_type deprecation filter (needed for numpy 1.25
  with older scipy/networkx)

* Fix JIT tests: probe compilation before running, don't replace working compilers

- Only replace the JIT compiler path if the default doesn't exist;
  some psg builds use /usr/bin/cc which already works
- Add a probe compilation after fixing config: if JIT compilation
  fails for any reason (wrong flags, missing libs), turn JIT off
  and let tests skip cleanly instead of failing
- Move upstream numpy override before dep selection to prevent
  stale scipy/pandas being chosen for numpy 1.x then overridden to 2.x
- Add scipy/numpy 2.3+ constraint (scipy <1.15.1 needs numpy <2.3)
- Make numba/numpy 2.4 constraint Python-version-independent
- Restore np.find_common_type deprecation warning filter
- Add macos-15-intel and ubuntu-24.04-arm to CI test matrix

* Clean. Better — single try/yield/finally, clear three-way branching with comments explaining each case

Fix JIT: three-way probe result, sysconfig won't override failed probe

- _fix_jit_config returns True/False/None: working, probe-failed, no-conda
- Fixture uses single try/yield/finally with clear three-way branch
- When probe fails (False), JIT stays off — sysconfig won't retry
- Sysconfig path only runs when there's no conda env (None)
- Add pandas 3.0 requires numba >=0.60 constraint
- Add macos-15-intel and ubuntu-24.04-arm to CI matrix
- Stress testing in CI

* Fix pandas 3.0 requires scipy >=1.14.1 constraint

* Remove stress testing in CI; warn on auto-detected fast_matrix_market

- Deprecation warning now fires on engine="auto" when fast_matrix_market
  is installed (previously only warned on explicit engine="fmm")

* More more dependency tweak (pandas 3.0); more stress testing

* Stress test pass. Remove stress testing

* Another update to random versions in CI

* Add (fix) IndexBinaryOp JIT support and move CI version selection to Python

IndexBinaryOp ss namespace:
- Create core/ss/indexbinary.py with JIT register_new() for C-string
  compilation via GxB_IndexBinaryOp_new, matching the indexunary pattern
- Update indexbinary/ss.py to import register_new (was empty stub)
- Add test_jit_indexbinary to test_ssjit.py (theta binding, mixed types,
  nested names, duplicate registration)
- Verify indexbinary.ss.register_new exists in test_dir_and_module

CI dependency version selection:
- Replace ~190 lines of cascading bash if/elif with a Python script
  (scripts/ci_pick_versions.py) that declares version pools and
  constraints, with a built-in stress test (160k combos, 0 failures)
- Workflow calls eval "$(python scripts/ci_pick_versions.py ...)"
- Also fixes scipy >=1.15 + numpy <1.26 incompatibility