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This PR vendors in the necessary submodules from numba.misc for future CUDA-specific customizations.

@VijayKandiah VijayKandiah self-assigned this Sep 3, 2025
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/ok to test

@VijayKandiah VijayKandiah added the 3 - Ready for Review Ready for review by team label Sep 4, 2025
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gmarkall commented Sep 4, 2025

/ok to test

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All the imports that are not at the module level seem to be missing from this file - did the formatter do something odd here? Or am I misunderstanding something?

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@VijayKandiah VijayKandiah Sep 4, 2025

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The pre-commit formatter did not like three of the imports in this file as is, specifically in this code block below because they are not being used anywhere. They exist only to catch import errors but are not used anywhere, while the actual imports being used are done inside the methods _get_win_folder_with_*.

if system == "win32":
    try:
        import win32com.shell
        _get_win_folder = _get_win_folder_with_pywin32
    except ImportError:
        try:
            from ctypes import windll
            _get_win_folder = _get_win_folder_with_ctypes
        except ImportError:
            try:
                import com.sun.jna
                _get_win_folder = _get_win_folder_with_jna
            except ImportError:
                _get_win_folder = _get_win_folder_from_registry

I modified the above by lifting some imports from _get_win_folder_with_* to the above code block to get past formatter errors while maintaining the guards to catch import errors.

if system == "win32":
   try:
       from win32com.shell import shellcon, shell

       _get_win_folder = _get_win_folder_with_pywin32
   except ImportError:
       try:
           import ctypes
           from ctypes import windll

           _get_win_folder = _get_win_folder_with_ctypes
       except ImportError:
           try:
               from com.sun import jna
               from com.sun.jna.platform import win32

               _get_win_folder = _get_win_folder_with_jna
           except ImportError:
               _get_win_folder = _get_win_folder_from_registry

Please let me know if this approach makes sense and if there's any other imports that are missing that caught your eye. I do not see any other differences in imports.

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That makes sense - I totally missed that modification because I'm not used to looking for imports at the bottom of the file (though I recognise this is the way the file is and always has been).

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This looks good on the whole - there are a couple of issues noted on the diff.

The AppDirs issues are likely to only show up in use in installations that are a bit different to our CI, like where system-wide installs are used or running in Jupyter notebooks, so I'm cautious to avoid changing things in it without having a strong motivation to do so.

@gmarkall gmarkall added 4 - Waiting on author Waiting for author to respond to review and removed 3 - Ready for Review Ready for review by team labels Sep 4, 2025
@VijayKandiah VijayKandiah added 4 - Waiting on reviewer Waiting for reviewer to respond to author and removed 4 - Waiting on author Waiting for author to respond to review labels Sep 4, 2025
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/ok to test

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/ok to test

@VijayKandiah
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/ok to test

@VijayKandiah VijayKandiah added 4 - Waiting on CI Waiting for a CI run to finish successfully and removed 4 - Waiting on reviewer Waiting for reviewer to respond to author labels Sep 24, 2025
@VijayKandiah VijayKandiah dismissed gmarkall’s stale review September 24, 2025 16:28

Resolved feedback.

@VijayKandiah VijayKandiah added 5 - Ready to merge Testing and reviews complete, ready to merge and removed 4 - Waiting on CI Waiting for a CI run to finish successfully labels Sep 25, 2025
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/ok to test


print("-- app dirs %s --" % __version__)

print("-- app dirs (with optional 'version')")
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In a future PR, I think we should migrate these to unit test checks that are part of the suite.

rparolin
rparolin previously approved these changes Sep 25, 2025
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/ok to test

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/ok to test

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Looks like @gmarkall already gave this a once-over, so let's go ahead and merge here.

@brandon-b-miller brandon-b-miller merged commit 4b34b1a into NVIDIA:main Sep 30, 2025
56 checks passed
gmarkall added a commit to gmarkall/numba-cuda that referenced this pull request Nov 20, 2025
- Add support for cache-hinted load and store operations (NVIDIA#587)
- Add more thirdparty tests (NVIDIA#586)
- Add sphinx-lint to pre-commit and fix errors (NVIDIA#597)
- Add DWARF variant part support for polymorphic variables in CUDA debug info (NVIDIA#544)
- chore: clean up dead workaround for unavailable `lru_cache` (NVIDIA#598)
- chore(docs): format types docs (NVIDIA#596)
- refactor: decouple `Context` from `Stream` and `Event` objects (NVIDIA#579)
- Fix freezing in of constant arrays with negative strides (NVIDIA#589)
- Update tests to accept variants of generated PTX (NVIDIA#585)
- refactor: replace device functionality with `cuda.core` APIs (NVIDIA#581)
- Move frontend tests to `cudapy` namespace (NVIDIA#558)
- Generalize the concurrency group for main merges (NVIDIA#582)
- ci: move pre-commit checks to pre commit action (NVIDIA#577)
- chore(pixi): set up doc builds; remove most `build-conda` dependencies (NVIDIA#574)
- ci: ensure that python version in ci matches matrix (NVIDIA#575)
- Fix the `cuda.is_supported_version()` API (NVIDIA#571)
- Fix checks on main (NVIDIA#576)
- feat: add `math.nextafter` (NVIDIA#543)
- ci: replace conda testing with pixi (NVIDIA#554)
- [CI] Run PR workflow on merge to main (NVIDIA#572)
- Propose Alternative Module Path for `ext_types` and Maintain `numba.cuda.types.bfloat16` Import API (NVIDIA#569)
- test: enable fail-on-warn and clean up resulting failures (NVIDIA#529)
- [Refactor][NFC] Vendor-in compiler_lock for future CUDA-specific changes (NVIDIA#565)
- Fix registration with Numba, vendor MakeFunctionToJITFunction tests (NVIDIA#566)
- [Refactor][NFC][Cleanups] Update imports to upstream numba to use the numba.cuda modules (NVIDIA#561)
- test: refactor process-based tests to use concurrent futures in order to simplify tests (NVIDIA#550)
- test: revert back to ipc futures that await each iteration (NVIDIA#564)
- chore(deps): move to self-contained pixi.toml to avoid mixed-pypi-pixi environments (NVIDIA#551)
- [Refactor][NFC] Vendor-in errors for future CUDA-specific changes (NVIDIA#534)
- Remove dependencies on target_extension for CUDA target (NVIDIA#555)
- Relax the pinning to `cuda-core` to allow it floating across minor releases (NVIDIA#559)
- [WIP] Port numpy reduction tests to CUDA (NVIDIA#523)
- ci: add timeout to avoid blocking the job queue (NVIDIA#556)
- Handle `cuda.core.Stream` in driver operations (NVIDIA#401)
- feat: add support for `math.exp2` (NVIDIA#541)
- Vendor in types and datamodel for CUDA-specific changes (NVIDIA#533)
- refactor: cleanup device constructor (NVIDIA#548)
- bench: add cupy to array constructor kernel launch benchmarks (NVIDIA#547)
- perf: cache dimension computations (NVIDIA#542)
- perf: remove duplicated size computation (NVIDIA#537)
- chore(perf): add torch to benchmark (NVIDIA#539)
- test: speed up ipc tests by ~6.5x (NVIDIA#527)
- perf: speed up kernel launch (NVIDIA#510)
- perf: remove context threading in various pointer abstractions (NVIDIA#536)
- perf: reduce the number of `__cuda_array_interface__` accesses (NVIDIA#538)
- refactor: remove unnecessary custom map and set implementations (NVIDIA#530)
- [Refactor][NFC] Vendor-in vectorize decorators for future CUDA-specific changes (NVIDIA#513)
- test: add benchmarks for kernel launch for reproducibility (NVIDIA#528)
- test(pixi): update pixi testing command to work with the new `testing` directory (NVIDIA#522)
- refactor: fully remove `USE_NV_BINDING` (NVIDIA#525)
- Draft: Vendor in the IR module (NVIDIA#439)
- pyproject.toml: add search path for Pyrefly (NVIDIA#524)
- Vendor in numba.core.typing for CUDA-specific changes (NVIDIA#473)
- Use numba.config when available, otherwise use numba.cuda.config (NVIDIA#497)
- [MNT] Drop NUMBA_CUDA_USE_NVIDIA_BINDING; always use cuda.core and cuda.bindings as fallback (NVIDIA#479)
- Vendor in dispatcher, entrypoints, pretty_annotate for CUDA-specific changes (NVIDIA#502)
- build: allow parallelization of nvcc testing builds (NVIDIA#521)
- chore(dev-deps): add pixi (NVIDIA#505)
- Vendor the imputils module for CUDA refactoring (NVIDIA#448)
- Don't use `MemoryLeakMixin` for tests that don't use NRT (NVIDIA#519)
- Switch back to stable cuDF release in thirdparty tests (NVIDIA#518)
- Updating .gitignore with binaries in the `testing` folder (NVIDIA#516)
- Remove some unnecessary uses of ContextResettingTestCase (NVIDIA#507)
- Vendor in _helperlib cext for CUDA-specific changes (NVIDIA#512)
- Vendor in typeconv for future CUDA-specific changes (NVIDIA#499)
- [Refactor][NFC] Vendor-in numba.cpython modules for future CUDA-specific changes (NVIDIA#493)
- [Refactor][NFC] Vendor-in numba.np modules for future CUDA-specific changes (NVIDIA#494)
- Make the CUDA target the default for CUDA overload decorators (NVIDIA#511)
- Remove C extension loading hacks (NVIDIA#506)
- Ensure NUMBA can manipulate memory from CUDA graphs before the graph is launched (NVIDIA#437)
- [Refactor][NFC] Vendor-in core Numba analysis utils for CUDA-specific changes (NVIDIA#433)
- Fix Bf16 Test OB Error (NVIDIA#509)
- Vendor in components from numba.core.runtime for CUDA-specific changes (NVIDIA#498)
- [Refactor] Vendor in _dispatcher, _devicearray, mviewbuf C extension for CUDA-specific customization (NVIDIA#373)
- [MNT] Managed UM memset fallback and skip CUDA IPC tests on WSL2 (NVIDIA#488)
- Improve debug value range coverage (NVIDIA#461)
- Add `compile_all` API (NVIDIA#484)
- Vendor in core.registry for CUDA-specific changes (NVIDIA#485)
- [Refactor][NFC] Vendor in numba.misc for CUDA-specific changes (NVIDIA#457)
- Vendor in optional, boxing for CUDA-specific changes, fix dangling imports (NVIDIA#476)
- [test] Remove dependency on cpu_target (NVIDIA#490)
- Change dangling imports of numba.core.lowering to numba.cuda.lowering (NVIDIA#475)
- [test] Use numpy's tolerance for float16 (NVIDIA#491)
- [Refactor][NFC] Vendor-in numba.extending for future CUDA-specific changes (NVIDIA#466)
- [Refactor][NFC] Vendor-in more cpython registries for future CUDA-specific changes (NVIDIA#478)
@gmarkall gmarkall mentioned this pull request Nov 20, 2025
gmarkall added a commit that referenced this pull request Nov 20, 2025
- Add support for cache-hinted load and store operations (#587)
- Add more thirdparty tests (#586)
- Add sphinx-lint to pre-commit and fix errors (#597)
- Add DWARF variant part support for polymorphic variables in CUDA debug
info (#544)
- chore: clean up dead workaround for unavailable `lru_cache` (#598)
- chore(docs): format types docs (#596)
- refactor: decouple `Context` from `Stream` and `Event` objects (#579)
- Fix freezing in of constant arrays with negative strides (#589)
- Update tests to accept variants of generated PTX (#585)
- refactor: replace device functionality with `cuda.core` APIs (#581)
- Move frontend tests to `cudapy` namespace (#558)
- Generalize the concurrency group for main merges (#582)
- ci: move pre-commit checks to pre commit action (#577)
- chore(pixi): set up doc builds; remove most `build-conda` dependencies
(#574)
- ci: ensure that python version in ci matches matrix (#575)
- Fix the `cuda.is_supported_version()` API (#571)
- Fix checks on main (#576)
- feat: add `math.nextafter` (#543)
- ci: replace conda testing with pixi (#554)
- [CI] Run PR workflow on merge to main (#572)
- Propose Alternative Module Path for `ext_types` and Maintain
`numba.cuda.types.bfloat16` Import API (#569)
- test: enable fail-on-warn and clean up resulting failures (#529)
- [Refactor][NFC] Vendor-in compiler_lock for future CUDA-specific
changes (#565)
- Fix registration with Numba, vendor MakeFunctionToJITFunction tests
(#566)
- [Refactor][NFC][Cleanups] Update imports to upstream numba to use the
numba.cuda modules (#561)
- test: refactor process-based tests to use concurrent futures in order
to simplify tests (#550)
- test: revert back to ipc futures that await each iteration (#564)
- chore(deps): move to self-contained pixi.toml to avoid mixed-pypi-pixi
environments (#551)
- [Refactor][NFC] Vendor-in errors for future CUDA-specific changes
(#534)
- Remove dependencies on target_extension for CUDA target (#555)
- Relax the pinning to `cuda-core` to allow it floating across minor
releases (#559)
- [WIP] Port numpy reduction tests to CUDA (#523)
- ci: add timeout to avoid blocking the job queue (#556)
- Handle `cuda.core.Stream` in driver operations (#401)
- feat: add support for `math.exp2` (#541)
- Vendor in types and datamodel for CUDA-specific changes (#533)
- refactor: cleanup device constructor (#548)
- bench: add cupy to array constructor kernel launch benchmarks (#547)
- perf: cache dimension computations (#542)
- perf: remove duplicated size computation (#537)
- chore(perf): add torch to benchmark (#539)
- test: speed up ipc tests by ~6.5x (#527)
- perf: speed up kernel launch (#510)
- perf: remove context threading in various pointer abstractions (#536)
- perf: reduce the number of `__cuda_array_interface__` accesses (#538)
- refactor: remove unnecessary custom map and set implementations (#530)
- [Refactor][NFC] Vendor-in vectorize decorators for future
CUDA-specific changes (#513)
- test: add benchmarks for kernel launch for reproducibility (#528)
- test(pixi): update pixi testing command to work with the new `testing`
directory (#522)
- refactor: fully remove `USE_NV_BINDING` (#525)
- Draft: Vendor in the IR module (#439)
- pyproject.toml: add search path for Pyrefly (#524)
- Vendor in numba.core.typing for CUDA-specific changes (#473)
- Use numba.config when available, otherwise use numba.cuda.config
(#497)
- [MNT] Drop NUMBA_CUDA_USE_NVIDIA_BINDING; always use cuda.core and
cuda.bindings as fallback (#479)
- Vendor in dispatcher, entrypoints, pretty_annotate for CUDA-specific
changes (#502)
- build: allow parallelization of nvcc testing builds (#521)
- chore(dev-deps): add pixi (#505)
- Vendor the imputils module for CUDA refactoring (#448)
- Don't use `MemoryLeakMixin` for tests that don't use NRT (#519)
- Switch back to stable cuDF release in thirdparty tests (#518)
- Updating .gitignore with binaries in the `testing` folder (#516)
- Remove some unnecessary uses of ContextResettingTestCase (#507)
- Vendor in _helperlib cext for CUDA-specific changes (#512)
- Vendor in typeconv for future CUDA-specific changes (#499)
- [Refactor][NFC] Vendor-in numba.cpython modules for future
CUDA-specific changes (#493)
- [Refactor][NFC] Vendor-in numba.np modules for future CUDA-specific
changes (#494)
- Make the CUDA target the default for CUDA overload decorators (#511)
- Remove C extension loading hacks (#506)
- Ensure NUMBA can manipulate memory from CUDA graphs before the graph
is launched (#437)
- [Refactor][NFC] Vendor-in core Numba analysis utils for CUDA-specific
changes (#433)
- Fix Bf16 Test OB Error (#509)
- Vendor in components from numba.core.runtime for CUDA-specific changes
(#498)
- [Refactor] Vendor in _dispatcher, _devicearray, mviewbuf C extension
for CUDA-specific customization (#373)
- [MNT] Managed UM memset fallback and skip CUDA IPC tests on WSL2
(#488)
- Improve debug value range coverage (#461)
- Add `compile_all` API (#484)
- Vendor in core.registry for CUDA-specific changes (#485)
- [Refactor][NFC] Vendor in numba.misc for CUDA-specific changes (#457)
- Vendor in optional, boxing for CUDA-specific changes, fix dangling
imports (#476)
- [test] Remove dependency on cpu_target (#490)
- Change dangling imports of numba.core.lowering to numba.cuda.lowering
(#475)
- [test] Use numpy's tolerance for float16 (#491)
- [Refactor][NFC] Vendor-in numba.extending for future CUDA-specific
changes (#466)
- [Refactor][NFC] Vendor-in more cpython registries for future
CUDA-specific changes (#478)

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