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cuda-pathfinder-v1.0.0

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Move `pathfinder` to cuda-python top level (NVIDIA#723)

* Move files WITHOUT trying to make anything work.

* First pass changing imports from cuda.bindings → cuda.path_finder WITHOUT trying to make anything work.

* Move README.md one level up.

* Move find_sub_dirs.py → ../_utils/find_sub_dirs.py

* Move files from cuda_bindings/tests to cuda_path_finder/tests WITHOUT trying to make anything work.

* First VERY ROUGH version of pyproject.toml

* Change imports in tests/ WITHOUT trying to make anything work.

* Clean up pyproject.toml (with the help of ChatGPT) WITHOUT trying to make anything work.

* ruff automatic fix: Replace deprecated typing.Sequence with collections.abc.Sequence (Python 3.9+)

* Add `dynamic = ["version"]` in pyproject.toml and cuda/path_finder/__init__.py (to make the dynamic version work).

* Modernize `[project] license` line.

* Change dir/file names: path_finder → pathfinder

* Change imports: path_finder → pathfinder

* Fix up broken imports.

* add [project.optional-dependencies] test

* Adopt cuda_core license.

* cuda.pathfinder.nvidia_dynamic_libs.load_lib → cuda.pathfinder.load_nvidia_dynamic_lib

* Revert "cuda.pathfinder.nvidia_dynamic_libs.load_lib → cuda.pathfinder.load_nvidia_dynamic_lib"

This reverts commit 3678fb4.

* Simple name changes for consistency: library -> lib

* Implement consensus API

* Use suggested version number 0.1.0

* Fix oversight: `license =` line in pyproject.toml

* Simplify `description =` line in pyproject.toml

* Remove Maintenance Requirements from main README. Add the list of "Likely candidates for updates" to supported_nvidia_libs.py instead.

* Adjust cuda_bindings/cuda/bindings/path_finder.py to changes in cuda_pathfinder/

* First guess at what changes are needed to include cuda_pathfinder in .github/workflows

* git mv nvidia_dynamic_libs.py __init__.py

* Do not use `cibuildwheel` for a `noarch` package (`cuda-pathfinder`). Use `pip wheel` instead.

NVIDIA#723 (comment)

* twine cleanup

* Hard-wire cuda-pathfinder artifact name and path for simplicity, similar to the approach used for cuda-python.

* Change to __version__ = "1.0.0"

* Import __version__ in cuda/pathfinder/__init__.py

* Add missing line in step `name: List the cuda.pathfinder artifacts directory`

* `Install cuda.pathfinder` before ` Build cuda.bindings Cython tests`

* Add missing line in step `name: Check cuda.pathfinder wheel`

* fix build workflow

* Remove `__all__` in cuda/pathfinder/__init__.py

* Fix `Check if the script was called with exactly 1 argument` implementation in  ci/tools/run-tests

* Add pathfinder install & test into ci/tools/run-tests

* Add  Download cuda-pathfinder, Run cuda.pathfinder tests in test-wheel-windows.yml

* Download cuda-pathfinder-wheel into `./cuda_pathfinder` (not `.`)

* Run cuda.pathfinder tests only after cuda.bindings tests, so that all wheels are installed already.

* Drive-by fix: test_find_or_load → test_load

* Introduce CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS environment variable.

* CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS=supported_must_work|see_what_works (/ci/tools/run-tests).

* Add cuda-pathfinder in .github/workflows/build-docs.yml

* Remove 32-bit DLLs from SUPPORTED_WINDOWS_DLLS

* Add guard:  RuntimeError: cuda.pathfinder.load_nvidia_dynamic_lib() requires 64-bit Python. Currently running: 32-bit Python

* is_suppressed_dll_file(): return path_basename.startswith(("cudart32_", "nvvm32"))

* Add nvidia_wheels_cu12 to [project.optional-dependencies] in cuda_pathfinder/pyproject.toml

* Install cuda.pathfinder nvidia_wheels_cu12 and run-tests pathfinder again with all_must_work

* ci/tools/run-tests: use bash `-v` instead of `-z` to test if CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS is defined (to resolve `unbound variable` error).

* Add missing `shell: bash` line in test-wheel-windows.yml

* test_load_nvidia_dynamic_lib: increase timeout to 120 seconds for Windows (to see if that resolves the cusolver failures)

* Add test_load_nvidia_dynamic_lib::test_runtime_error_on_non_64bit_python

* Add DynamicLibNotFound exception type in load_dl_common.py and simplify test_load_nvidia_dynamic_lib()

* Run cuda.pathfinder tests with see_what_works before running any other tests.

* Use `if: startsWith(matrix.CUDA_VER, 12.)` to guard pathfinder tests with CUDA 12 wheels.

* Get rid of "partially supported" concept.

* Consistently use `IS_WINDOWS` (instead of `sys.platform == "win32"`).

* Rename toolshed/build_pathfinder*.py scripts (no functional changes).

* Rename toolshed/run_cuda_pathfinder.py

* Make output of toolshed/build_pathfinder_dlls.py usable as-is.

* Add DynamicLibNotFound to cuda/pathfinder/__init__.py

* Fix accident in previous commit (DynamicLibNotFound)

* Update README.md

* mypy cleanup

* Run mypy from pre-commit

* Use SHA for mypy version in .pre-commit-config.yaml (generated with `pre-commit autoupdate --freeze`, but keeping only the change for mypy).

* cuda_bindings/pyproject.toml: constrain "cuda-pathfinder ~= 1.0"

* Make LoadedDL.handle an unsigned integer also for Windows. (cuda_pathfinder/tests pass, cuda_bindings/tests are broken).

Interactive testing:

CUDA_PATHFINDER_TEST_LOAD_NVIDIA_DYNAMIC_LIB_STRICTNESS=all_must_work pytest -ra -s -v tests/

python ../toolshed/run_cuda_pathfinder.py

* Rename LoadedDL.handle → LoadedDL._handle_uint

This does not break any cuda_pathfinder tests. (cuda_bindings tests are "more broken".)

* Move `_handle_uint` last in `LoadedDL`, to emphasize that this is private member.

* Implement TEMPORARY BACKWARD COMPATIBILITY in /cuda/bindings/path_finder.py

* Fix oversight discovered via local Windows testing.

* Put the changes from NVIDIA#751 on top of this PR (723)

* Add `cuda-pathfinder` to `options` in .github/workflows/release.yml

* Move temporary backward compatibility code to _path_finder/temporary_backward_compatibility.py, to fully sanitize path_finder.py

* Consolidate mypy configuration into pyproject.toml

- Move mypy configuration from cuda_pathfinder/mypy.ini to [tool.mypy] section in pyproject.toml
- Delete cuda_pathfinder/mypy.ini file
- Update .pre-commit-config.yaml to point to pyproject.toml for mypy configuration
- Maintain identical functionality with consolidated config

Addresses review comment about preferring pyproject.toml over separate ini files.

* Change "slated" to "deprecated and slated ... in the next ... major version release."

Also fix pathfinder → path_finder oversights.

* Remove mention of LoadedDL handle in README.md (it was an oversight that this wasn't removed before).

---------

Co-authored-by: Leo Fang <[email protected]>

cuda-core-v0.3.1

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Update docs for v0.3.1 release (NVIDIA#695)

* move public types out of api_private.rst

* bump version

* add release note

* fix typo

---------

Co-authored-by: Leo Fang <[email protected]>

cuda-core-v0.3.0

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Bump `cuda.core` to v0.3.0 (NVIDIA#703)

* bump cuda.core to v0.3.0

* update date

v12.9.0

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Rebase to CTK 12.9

v11.8.7

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Patch 11.8.7

cuda-core-v0.2.0

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Merge pull request NVIDIA#523 from vzhurba01/release-core

Set release date

cuda-core-v0.2.0rc1

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Merge pull request NVIDIA#498 from rwgk/fix_test_timing_flakiness

Increase tolerance in `test_timing()` to avoid flaky tests.

v12.8.0

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Merge pull request NVIDIA#366 from vzhurba01/12-next-docs

Doc updates for 12.8

v11.8.6

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Merge pull request NVIDIA#417 from leofang/bump_ver_11

Bump version to 11.8.6

cuda-core-v0.1.1

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`cuda.core` v0.1.1 final doc touch (NVIDIA#301)

* minor changes to the release note

* add missing entries

* Update 0.1.1-notes.md

* update

* address comments

* mention Python/OS support matrix