Process completed with exit code 1.

TestGeneratedSourceDirIsKeyed.test_dir_is_anchored_not_relative_to_cwd AssertionError: assert False + where False = is_absolute() + where is_absolute = PosixPath('.').is_absolute

TestGeneratedSourceDirIsKeyed.test_majors_use_different_dirs AssertionError: assert PosixPath('.') != PosixPath('.')

test_opt_out_env_var_values[ -True] AssertionError: subprocess exited with code 3221225725 stdout: stderr:

test_opt_out_env_var_values[1-False] AssertionError: subprocess exited with code 3221225725 stdout: stderr:

test_opt_out_env_var_values[0-True] AssertionError: subprocess exited with code 3221225725 stdout: stderr:

test_missing_table_entry_names_the_mismatch AssertionError: assert 3221225725 == 0 + where 3221225725 = CompletedProcess(args=['C:\\actions-runner\\_work\\cuda-python\\cuda-python\\.venv\\Scripts\\python.exe', '-c', '\nimport warnings\nimport cuda.bindings._internal.driver as loader\n\nKEYS = [\'__cuGetErrorName\', \'__cuGetErrorString\', \'__cuDevicePrimaryCtxRetain\', \'__cuDevicePrimaryCtxRelease_v2\', \'__cuCtxGetCurrent\', \'__cuCtxSetCurrent\', \'__cuCtxSynchronize\', \'__cuCtxGetStreamPriorityRange\', \'__cuCtxGetDevice\', \'__cuGraphNodeSetParams\', \'__cuGreenCtxCreate\', \'__cuGreenCtxDestroy\', \'__cuCtxFromGreenCtx\', \'__cuDevResourceGenerateDesc\', \'__cuGreenCtxStreamCreate\', \'__cuStreamCreateWithPriority\', \'__cuStreamDestroy_v2\', \'__cuStreamGetCtx\', \'__cuEventCreate\', \'__cuEventDestroy_v2\', \'__cuIpcOpenEventHandle\', \'__cuDeviceGetCount\', \'__cuMemPoolSetAccess\', \'__cuMemPoolDestroy\', \'__cuMemPoolCreate\', \'__cuDeviceGetMemPool\', \'__cuMemPoolImportFromShareableHandle\', \'__cuMemAllocFromPoolAsync\', \'__cuMemAllocAsync\', \'__cuMemAlloc_v2\', \'__cuMemAllocHost_v2\', \'__cuMemFreeAsync\', \'__cuMemFree_v2\', \'__cuMemFreeHost\', \'__cuMemPoolImportPointer\', \'__cuLibraryLoadFromFile\', \'__cuLibraryLoadData\', \'__cuLibraryUnload\', \'__cuLibr...'__cuStreamSynchronize\', \'__cuStreamIsCapturing\', \'__cuLaunchHostFunc\', \'__cuThreadExchangeStreamCaptureMode\']\n\ndef fake_inspect_function_pointers():\n table = {key: 1 for key in KEYS} # placeholder addresses: the fill fails before any call\n table.pop("__cuDevicePrimaryCtxRetain", None)\n return table\n\nloader._inspect_function_pointers = fake_inspect_function_pointers\n\nfrom cuda.core import CUDAError, CUDAWarning, Device\n\nwith warnings.catch_warnings(record=True) as caught:\n warnings.simplefilter("always")\n for attempt in range(2):\n try:\n # cuInit and the device query are Cython calls. The primary context\n # retain is the first call through the C++ table.\n Device(0).set_current()\n except CUDAError as exc:\n print(f"ATTEMPT {attempt} CUDAError: {exc} NOTES: {getattr(exc, \'__notes__\', [])}")\n else:\n print(f"ATTEMPT {attempt} no error")\ncuda_warnings = [w for w in caught if issubclass(w.category, CUDAWarning)]\nprint(f"CUDAWARNINGS {len(cuda_warnings)}")\nfor w in cuda_warnings:\n print("WARNING:", str(w.message))\n'], returncode=3221225725, stdout='', stderr='').returncode

test_null_baseline_entry_fails_the_fill_once_and_latches AssertionError: assert 3221225725 == 0 + where 3221225725 = CompletedProcess(args=['C:\\actions-runner\\_work\\cuda-python\\cuda-python\\.venv\\Scripts\\python.exe', '-c', '\nimport warnings\nimport cuda.bindings._internal.driver as loader\n\nKEYS = [\'__cuGetErrorName\', \'__cuGetErrorString\', \'__cuDevicePrimaryCtxRetain\', \'__cuDevicePrimaryCtxRelease_v2\', \'__cuCtxGetCurrent\', \'__cuCtxSetCurrent\', \'__cuCtxSynchronize\', \'__cuCtxGetStreamPriorityRange\', \'__cuCtxGetDevice\', \'__cuGraphNodeSetParams\', \'__cuGreenCtxCreate\', \'__cuGreenCtxDestroy\', \'__cuCtxFromGreenCtx\', \'__cuDevResourceGenerateDesc\', \'__cuGreenCtxStreamCreate\', \'__cuStreamCreateWithPriority\', \'__cuStreamDestroy_v2\', \'__cuStreamGetCtx\', \'__cuEventCreate\', \'__cuEventDestroy_v2\', \'__cuIpcOpenEventHandle\', \'__cuDeviceGetCount\', \'__cuMemPoolSetAccess\', \'__cuMemPoolDestroy\', \'__cuMemPoolCreate\', \'__cuDeviceGetMemPool\', \'__cuMemPoolImportFromShareableHandle\', \'__cuMemAllocFromPoolAsync\', \'__cuMemAllocAsync\', \'__cuMemAlloc_v2\', \'__cuMemAllocHost_v2\', \'__cuMemFreeAsync\', \'__cuMemFree_v2\', \'__cuMemFreeHost\', \'__cuMemPoolImportPointer\', \'__cuLibraryLoadFromFile\', \'__cuLibraryLoadData\', \'__cuLibraryUnload\', \'__cuLibr...eableHandle\', \'__cuStreamSynchronize\', \'__cuStreamIsCapturing\', \'__cuLaunchHostFunc\', \'__cuThreadExchangeStreamCaptureMode\']\n\ndef fake_inspect_function_pointers():\n table = {key: 1 for key in KEYS} # placeholder addresses: the fill fails before any call\n table["__cuGetErrorName"] = 0\n return table\n\nloader._inspect_function_pointers = fake_inspect_function_pointers\n\nfrom cuda.core import CUDAError, CUDAWarning, Device\n\nwith warnings.catch_warnings(record=True) as caught:\n warnings.simplefilter("always")\n for attempt in range(2):\n try:\n # cuInit and the device query are Cython calls. The primary context\n # retain is the first call through the C++ table.\n Device(0).set_current()\n except CUDAError as exc:\n print(f"ATTEMPT {attempt} CUDAError: {exc} NOTES: {getattr(exc, \'__notes__\', [])}")\n else:\n print(f"ATTEMPT {attempt} no error")\ncuda_warnings = [w for w in caught if issubclass(w.category, CUDAWarning)]\nprint(f"CUDAWARNINGS {len(cuda_warnings)}")\nfor w in cuda_warnings:\n print("WARNING:", str(w.message))\n'], returncode=3221225725, stdout='', stderr='').returncode

test_keyboard_interrupt_during_a_fill_reaches_the_user AssertionError: assert 3221225725 == 0 + where 3221225725 = CompletedProcess(args=['C:\\actions-runner\\_work\\cuda-python\\cuda-python\\.venv\\Scripts\\python.exe', '-c', '\nimport signal\nimport warnings\nimport cuda.bindings._internal.nvrtc as loader\n\n# Non-interactive background shells inherit SIGINT as SIG_IGN; restore the\n# default handler so a re-armed interrupt becomes KeyboardInterrupt.\nsignal.signal(signal.SIGINT, signal.default_int_handler)\n\nreal_inspect = loader._inspect_function_pointers\n\ndef interrupting_inspect():\n raise KeyboardInterrupt # Ctrl-C while cuda-bindings loads the library\n\nloader._inspect_function_pointers = interrupting_inspect\nfrom cuda.core import Program, ProgramOptions\n\ntry:\n with warnings.catch_warnings(record=True) as caught:\n warnings.simplefilter("always")\n # The NVRTC handle constructor fills the NVRTC table; the Program is dropped at\n # once, so its deleter also reports through the table.\n Program(\'extern "C" __global__ void k() {}\', "c++", options=ProgramOptions(arch="sm_80"))\n for _ in range(3):\n pass # the re-armed interrupt fires at a bytecode boundary\n print("NOT INTERRUPTED", flush=True)\nexcept KeyboardInterrupt:\n print("INTERRUPTED", flush=True)\nfor w in caught:\n print("WARNING:", str(w.message), flush=True)\nloader._inspect_function_pointers = real_inspect # let the shutdown deleters fill the table\n'], returncode=3221225725, stdout='', stderr='').returncode

test_run_child_passes_arguments_and_closes_process AssertionError: child exited with 3221225725

test_run_child_kills_hung_child assert False + where False = is_set() + where is_set = <Event at 0x1e8c234e710 unset>.is_set

test_warmup_retries_failure_and_caches_success AssertionError: child exited with 3221225725

test_run_child_kills_child_when_join_is_interrupted AssertionError: child did not reach its target assert False + where False = wait(timeout=30) + where wait = <Event at 0x1e8c2c3fcb0 unset>.wait

test_sample[cuda_bindings/0_Introduction/simpleCubemapTexture] Failed: sample cuda_bindings/0_Introduction/simpleCubemapTexture returned status=FAIL (rc=3221225725): return code 3221225725

test_sample[cuda_bindings/4_CUDA_Libraries/conjugateGradientMultiBlockCG] Failed: sample cuda_bindings/4_CUDA_Libraries/conjugateGradientMultiBlockCG returned status=FAIL (rc=3221225725): return code 3221225725

test_sample[cuda_bindings/0_Introduction/clockNvrtc] Failed: sample cuda_bindings/0_Introduction/clockNvrtc returned status=FAIL (rc=3221225725): return code 3221225725

test_sample[cuda_bindings/3_CUDA_Features/cudaGraphsManualNodes] Failed: sample cuda_bindings/3_CUDA_Features/cudaGraphsManualNodes returned status=FAIL (rc=3221225725): return code 3221225725

test_sample[cuda_bindings/extra/jitProgram] Failed: sample cuda_bindings/extra/jitProgram returned status=FAIL (rc=3221225725): return code 3221225725

test_sample[cuda_bindings/2_Concepts_and_Techniques/streamOrderedAllocation] Failed: sample cuda_bindings/2_Concepts_and_Techniques/streamOrderedAllocation returned status=FAIL (rc=3221225725): return code 3221225725

test_sample[cuda_bindings/0_Introduction/systemWideAtomics] Failed: sample cuda_bindings/0_Introduction/systemWideAtomics returned status=FAIL (rc=3221225725): return code 3221225725

test_sample[cuda_bindings/3_CUDA_Features/globalToShmemAsyncCopy] Failed: sample cuda_bindings/3_CUDA_Features/globalToShmemAsyncCopy returned status=FAIL (rc=3221225725): return code 3221225725

test_sample[cuda_bindings/0_Introduction/vectorAddMmap] Failed: sample cuda_bindings/0_Introduction/vectorAddMmap returned status=FAIL (rc=3221225725): return code 3221225725

test_iso_fd_modelling_exposes_no_display_option AssertionError: assert 3221225725 == 0 + where 3221225725 = CompletedProcess(args=['C:\\actions-runner\\_work\\cuda-python\\cuda-python\\.venv\\Scripts\\python.exe', 'C:\\actions-runner\\_work\\cuda-python\\cuda-python\\samples\\cuda_bindings\\extra\\isoFdModelling\\isoFdModelling.py', '--help'], returncode=3221225725, stdout='', stderr='').returncode

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The CUDA driver version is older than the backend version. The generated ptx will not be loadable by the current driver.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

The chararray class is deprecated and will be removed in a future release. Use an ndarray with a string or bytes dtype instead.

"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"

"The ubuntu-latest label will migrate to Ubuntu 26 beginning October 19, 2026. For more information, see https://github.com/actions/runner-images/issues/14748"