Drop Python 3.9 support (#102)

Contributes to rapidsai/build-planning#88.

Drops Python 3.9 support.

## Notes for Reviewers

### Is this safe for `nvmath-python`?

I think yes.

In an offline conversation, I was told that `nvmath-python` follows NEP 29 (https://numpy.org/neps/nep-0029-deprecation_policy.html) and so would want to drop Python 3.9 in its next release anyway.

That's documented in its docs as well:

https://github.com/NVIDIA/nvmath-python/blob/7c485842d0f3300e03ec780056936503913910fe/docs/sphinx/overview.rst?plain=1#L274

cc @leofang 

### How I tested this

Checked that there were no remaining uses like this:

```shell
git grep -E '3\.9'
git grep '39'
git grep 'py39'
```

And similar for variations on Python 3.8 (to catch things that were missed the last time this was done).

### What are these other changes?

`ruff` raised two new errors here:

```text
.ycm_extra_conf.py:24:5: N802 Function name `Settings` should be lowercase
pynvjitlink/patch.py:226:20: UP031 Use format specifiers instead of percent format
Found 2 errors.
No fixes available (1 hidden fix can be enabled with the `--unsafe-fixes` option).
```

Left `Settings` untouched... looks like `ycm` expects that to be exactly `Settings` ([ycm-core docs](https://github.com/ycm-core/YouCompleteMe/blob/0d855962a60bd993980d287a3ac97f57ecd02ea6/README.md?plain=1#L1431)).

The `verify-copyright` hook also complained about one file missing a copyright header

```text
In file .ycm_extra_conf.py:1:1:
 import os
warning: no copyright notice found
```

So I added one.

Authors:
  - James Lamb (https://github.com/jameslamb)

Approvers:
  - Bradley Dice (https://github.com/bdice)
  - Leo Fang (https://github.com/leofang)
  - https://github.com/jakirkham

URL: #102

.github/actions/compute-matrix/action.yaml

@@ -16,22 +16,18 @@ runs:
         set -eo pipefail
 
         export BUILD_MATRIX="
-        - { CUDA_VER: '12.0.1', ARCH: 'amd64', PY_VER: '3.9', LINUX_VER: 'rockylinux8' }
         - { CUDA_VER: '12.0.1', ARCH: 'amd64', PY_VER: '3.10', LINUX_VER: 'rockylinux8' }
         - { CUDA_VER: '12.0.1', ARCH: 'amd64', PY_VER: '3.11', LINUX_VER: 'rockylinux8' }
         - { CUDA_VER: '12.0.1', ARCH: 'amd64', PY_VER: '3.12', LINUX_VER: 'rockylinux8' }
-        - { CUDA_VER: '12.0.1', ARCH: 'arm64', PY_VER: '3.9', LINUX_VER: 'rockylinux8' }
         - { CUDA_VER: '12.0.1', ARCH: 'arm64', PY_VER: '3.10', LINUX_VER: 'rockylinux8' }
         - { CUDA_VER: '12.0.1', ARCH: 'arm64', PY_VER: '3.11', LINUX_VER: 'rockylinux8' }
         - { CUDA_VER: '12.0.1', ARCH: 'arm64', PY_VER: '3.12', LINUX_VER: 'rockylinux8' }
         "
 
         export TEST_MATRIX="
-          - { CUDA_VER: '12.0.1', ARCH: 'amd64', PY_VER: '3.9', LINUX_VER: 'ubuntu20.04', gpu: 'v100', driver: 'latest' }
           - { CUDA_VER: '12.0.1', ARCH: 'amd64', PY_VER: '3.10', LINUX_VER: 'ubuntu20.04', gpu: 'v100', driver: 'latest' }
           - { CUDA_VER: '12.0.1', ARCH: 'amd64', PY_VER: '3.11', LINUX_VER: 'ubuntu20.04', gpu: 'v100', driver: 'latest' }
           - { CUDA_VER: '12.0.1', ARCH: 'amd64', PY_VER: '3.12', LINUX_VER: 'ubuntu20.04', gpu: 'v100', driver: 'latest' }
-          - { CUDA_VER: '12.0.1', ARCH: 'arm64', PY_VER: '3.9', LINUX_VER: 'ubuntu20.04', gpu: 'a100', driver: 'latest' }
           - { CUDA_VER: '12.0.1', ARCH: 'arm64', PY_VER: '3.10', LINUX_VER: 'ubuntu20.04', gpu: 'a100', driver: 'latest' }
           - { CUDA_VER: '12.0.1', ARCH: 'arm64', PY_VER: '3.11', LINUX_VER: 'ubuntu20.04', gpu: 'a100', driver: 'latest' }
           - { CUDA_VER: '12.0.1', ARCH: 'arm64', PY_VER: '3.12', LINUX_VER: 'ubuntu20.04', gpu: 'a100', driver: 'latest' }

.ycm_extra_conf.py

@@ -1,6 +1,7 @@
+# Copyright (c) 2023-2024, NVIDIA CORPORATION.
+
 import os
 import sys
-
 from pathlib import Path
 
 CONDA_PREFIX = os.environ["CONDA_PREFIX"]
@@ -22,7 +23,7 @@
 ]
 
 
-def Settings(**kwargs):
+def Settings(**kwargs):  # noqa: N802
     return {"flags": flags}
 
 

ci/run_patched_numba_tests.py

@@ -6,7 +6,8 @@
 patch.patch_numba_linker()
 
 if __name__ == "__main__":
-    from numba.testing._runtests import _main
     import sys
 
+    from numba.testing._runtests import _main
+
     sys.exit(0 if _main(sys.argv) else 1)

dependencies.yaml

@@ -71,10 +71,6 @@ dependencies:
     specific:
       - output_types: conda
         matrices:
-          - matrix:
-              py: "3.9"
-            packages:
-              - python=3.9
           - matrix:
               py: "3.10"
             packages:
@@ -89,7 +85,7 @@ dependencies:
               - python=3.12
           - matrix:
             packages:
-              - python>=3.9,<3.13
+              - python>=3.10,<3.13
   run:
     common:
       - output_types: [conda, requirements, pyproject]

examples/jit_link_data.py

@@ -8,11 +8,10 @@
 # In addition to CUSource files, PTXSource objects can be used to link PTX from
 # memory (not shown in this example).
 
+import numpy as np
 from numba import cuda
 from pynvjitlink import patch
 
-import numpy as np
-
 patch.patch_numba_linker()
 
 source = cuda.CUSource(

pynvjitlink/__init__.py

@@ -1,7 +1,7 @@
 # Copyright (c) 2023-2024, NVIDIA CORPORATION.
 
-from pynvjitlink.api import NvJitLinker, NvJitLinkError, nvjitlink_version
 from pynvjitlink._version import __git_commit__, __version__
+from pynvjitlink.api import NvJitLinker, NvJitLinkError, nvjitlink_version
 
 __all__ = [
     "NvJitLinkError",

pynvjitlink/api.py

@@ -1,9 +1,9 @@
 # Copyright (c) 2023-2024, NVIDIA CORPORATION.
 
+import weakref
 from enum import Enum
-from pynvjitlink import _nvjitlinklib
 
-import weakref
+from pynvjitlink import _nvjitlinklib
 
 
 class InputType(Enum):

pynvjitlink/patch.py

@@ -1,9 +1,9 @@
 # Copyright (c) 2023-2024, NVIDIA CORPORATION.
-from functools import partial
-from pynvjitlink.api import NvJitLinker, NvJitLinkError
-
 import os
 import pathlib
+from functools import partial
+
+from pynvjitlink.api import NvJitLinker, NvJitLinkError
 
 _numba_version_ok = False
 _numba_error = None
@@ -29,14 +29,14 @@
     _numba_error = f"failed to import Numba: {ie}."
 
 if _numba_version_ok:
-    from numba.core import config
     from numba import cuda
+    from numba.core import config
     from numba.cuda.cudadrv import nvrtc
     from numba.cuda.cudadrv.driver import (
-        driver,
         FILE_EXTENSION_MAP,
         Linker,
         LinkerError,
+        driver,
     )
 else:
     # Prevent the definition of PatchedLinker failing if we have no Numba
@@ -223,7 +223,7 @@ def add_cu(self, cu, name):
         ptx, log = nvrtc.compile(cu, name, cc)
 
         if config.DUMP_ASSEMBLY:
-            print(("ASSEMBLY %s" % name).center(80, "-"))
+            print((f"ASSEMBLY {name}").center(80, "-"))
             print(ptx)
             print("=" * 80)
 

pynvjitlink/tests/conftest.py

@@ -1,10 +1,10 @@
 # Copyright (c) 2024, NVIDIA CORPORATION.
 
 import os
-import pytest
 
+import pytest
 from numba import cuda
-from pynvjitlink.patch import Archive, Cubin, CUSource, Fatbin, Object, PTXSource, LTOIR
+from pynvjitlink.patch import LTOIR, Archive, Cubin, CUSource, Fatbin, Object, PTXSource
 
 
 @pytest.fixture(scope="session")

pynvjitlink/tests/test_patch.py

@@ -1,18 +1,18 @@
 # Copyright (c) 2023-2024, NVIDIA CORPORATION.
 
-import pytest
 import sys
+from unittest.mock import patch as mock_patch
 
+import pytest
 from numba import cuda
-from pynvjitlink import patch, NvJitLinkError
+from pynvjitlink import NvJitLinkError, patch
 from pynvjitlink.patch import (
     PatchedLinker,
-    patch_numba_linker,
+    _numba_version_ok,
     new_patched_linker,
+    patch_numba_linker,
     required_numba_ver,
-    _numba_version_ok,
 )
-from unittest.mock import patch as mock_patch
 
 
 def test_numba_patching_numba_not_ok():

pynvjitlink/tests/test_pynvjitlink.py

@@ -1,8 +1,7 @@
 # Copyright (c) 2023-2024, NVIDIA CORPORATION. All rights reserved.
 
-import pytest
-
 import pynvjitlink
+import pytest
 from pynvjitlink import _nvjitlinklib
 from pynvjitlink.api import InputType
 

pynvjitlink/tests/test_pynvjitlink_api.py

@@ -1,8 +1,8 @@
 # Copyright (c) 2023-2024, NVIDIA CORPORATION. All rights reserved.
 
-import pytest
 import sys
 
+import pytest
 from pynvjitlink import NvJitLinker, NvJitLinkError
 
 

pyproject.toml

@@ -28,7 +28,7 @@ authors = [
     { name = "NVIDIA Corporation" },
 ]
 license = { text = "Apache 2.0" }
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 dependencies = [
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit dependencies.yaml and run `rapids-dependency-file-generator`.