nitypes: Add support for Python 3.15 and remove support for Python 3.9 and 3.10

.github/workflows/check_nitypes.yml

@@ -14,8 +14,8 @@ jobs:
         os: [windows-latest, ubuntu-latest, macos-latest]
         # Type checking requires an up-to-date NumPy.
         # The latest NumPy only supports 3.11 and later
-        # Pin to 3.14.8 to workaround AB#4147280
-        python-version: [3.11, 3.14.8]
+        # Pin to 3.14.8 and 3.15.0 to workaround AB#4147280
+        python-version: [3.11, 3.15.0]
     runs-on: ${{ matrix.os }}
     steps:
       - name: Check out repo

.github/workflows/run_unit_tests.yml

@@ -13,8 +13,8 @@ jobs:
     strategy:
       matrix:
         os: [windows-latest, ubuntu-latest, macos-latest]
-        # Pin to 3.14.8 to workaround AB#4147280
-        python-version: [3.9, '3.10', 3.11, 3.12, 3.13, 3.14.8, 3.14t, pypy3.11]
+        # Pin to 3.14.8 and 3.15.0 to workaround AB#4147280
+        python-version: [3.11, 3.12, 3.13, 3.14.8, 3.14t, 3.15.0, 3.15t, pypy3.11]
       # Fail-fast skews the pass/fail ratio and seems to make pytest produce
       # incomplete JUnit XML results.
       fail-fast: false
@@ -38,7 +38,12 @@ jobs:
       - name: Install nitypes
         run: poetry install -v
       - name: Display installed dependency versions
-        run: poetry run pip list
+        run: |
+          # Use importlib instead of assuming that the project venv contains an up-to-date pip.
+          import importlib.metadata
+          for dist in sorted(importlib.metadata.Distribution.discover(), key=lambda d: d.name):
+            print(f"{dist.name}: {dist.version}")
+        shell: poetry run python {0}
       - name: Run unit/acceptance/doc tests and code coverage
         run: poetry run pytest -v --cov=nitypes --junitxml=test_results/nitypes-${{ matrix.os }}-py${{ matrix.python-version }}.xml
       - name: Run benchmarks

.github/workflows/run_unit_tests_oldest_deps.yml

@@ -13,7 +13,7 @@ jobs:
     strategy:
       matrix:
         os: [windows-latest, ubuntu-latest]
-        python-version: [3.9]
+        python-version: [3.11]
       # Fail-fast skews the pass/fail ratio and seems to make pytest produce
       # incomplete JUnit XML results.
       fail-fast: false
@@ -47,7 +47,12 @@ jobs:
         if: steps.cache-virtualenv.outputs.cache-hit != 'true'
         run: poetry install -v
       - name: Display installed dependency versions
-        run: poetry run pip list
+        run: |
+          # Use importlib instead of assuming that the project venv contains an up-to-date pip.
+          import importlib.metadata
+          for dist in sorted(importlib.metadata.Distribution.discover(), key=lambda d: d.name):
+            print(f"{dist.name}: {dist.version}")
+        shell: poetry run python {0}
       - name: Run unit tests and code coverage
         # Skip test___pickled_value___unpickle___is_compatible because this test's pickle data was saved with NumPy 2.x and cannot be loaded in NumPy 1.x.
         run: poetry run pytest ./tests/unit -v --cov=nitypes --junitxml=test_results/nitypes-oldest-deps-${{ matrix.os }}-py${{ matrix.python-version }}.xml -k "not test___pickled_value___unpickle___is_compatible"

README.md

@@ -47,7 +47,7 @@ See the [API Reference](https://nitypes.readthedocs.io/).
 
 ## Python Version Support
 
-`nitypes` supports CPython 3.9+ and PyPy3.
+`nitypes` supports CPython 3.11+ and PyPy3.
 
 # Installation
 

docs/intro.inc

@@ -21,7 +21,7 @@ Operating System Support
 Python Version Support
 ----------------------
 
-``nitypes`` supports CPython 3.9+ and PyPy3.
+``nitypes`` supports CPython 3.11+ and PyPy3.
 
 Installation
 ------------

pyproject.toml

@@ -13,20 +13,19 @@ classifiers = [
   "Operating System :: Microsoft :: Windows",
   "Operating System :: POSIX",
   "Programming Language :: Python :: 3",
-  "Programming Language :: Python :: 3.9",
-  "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
   "Programming Language :: Python :: 3.12",
   "Programming Language :: Python :: 3.13",
   "Programming Language :: Python :: 3.14",
+  "Programming Language :: Python :: 3.15",
   "Programming Language :: Python :: Implementation :: CPython",
   "Programming Language :: Python :: Implementation :: PyPy",
 ]
 dynamic = ["dependencies"]
 readme = "README.md"
 authors = [{name = "NI", email = "opensource@ni.com"}]
 maintainers = [{name = "Brad Keryan", email = "brad.keryan@ni.com"}]
-requires-python = '>=3.9,<4.0'
+requires-python = '>=3.11,<4.0'
 
 [project.urls]
 repository = "https://github.com/ni/nitypes-python"
@@ -37,9 +36,10 @@ packages = [{ include = "nitypes", from = "src" }]
 requires-poetry = '>=2.1,<3.0'
 
 [tool.poetry.dependencies]
-# NumPy 2.0.x is the last version that supports Python 3.9, but it crashes with Python 3.13.
+# NumPy 1.23.2 is the first version with binary wheels for Python 3.11. NumPy
+# 1.22 crashes on Python 3.11 and NumPy 2.0.x crashes on Python 3.13.
 numpy = [
-  { version = ">=1.22", python = ">=3.9,<3.13" },
+  { version = ">=1.23.2", python = ">=3.11,<3.13" },
   { version = ">=2.1", python = "^3.13" }
 ]
 hightime = { version = ">=0.2.2", allow-prereleases = true }
@@ -48,10 +48,10 @@ typing-extensions = ">=4.13.2"
 [tool.poetry.group.dev.dependencies]
 # Specify additional NumPy version constraints to speed up locking and test with binary wheels that support PyPy.
 numpy = [
-  { version = ">=1.22", python = ">=3.9,<3.12", markers = "implementation_name != 'pypy'" },
+  { version = ">=1.23.2", python = ">=3.11,<3.12", markers = "implementation_name != 'pypy'" },
   { version = ">=1.26", python = ">=3.12,<3.13", markers = "implementation_name != 'pypy'" },
-  { version = ">=2.1", python = "^3.13", markers = "implementation_name != 'pypy'" },
-  { version = ">=2.1", python = ">=3.10,<3.11", markers = "implementation_name == 'pypy'" },
+  { version = ">=2.1", python = ">=3.13,<3.15", markers = "implementation_name != 'pypy'" },
+  { version = ">=2.5.1", python = "^3.15", markers = "implementation_name != 'pypy'" },
   { version = ">=2.3", python = "^3.11", markers = "implementation_name == 'pypy'" },
 ]
 
@@ -76,12 +76,7 @@ tzlocal = ">=5.0"
 optional = true
 
 [tool.poetry.group.docs.dependencies]
-# The latest Sphinx requires a recent Python version.
-Sphinx = [
-  { version = ">=7.4", python = ">=3.9,<3.10" },
-  { version = ">=8.1", python = ">=3.10,<3.11" },
-  { version = ">=8.2", python = "^3.11" },
-]
+Sphinx = ">=8.2"
 sphinx-rtd-theme = ">=1.0.0"
 sphinx-autoapi = ">=1.8.4"
 m2r2 = ">=0.3.2"

tests/unit/complex/test_conversion.py

@@ -155,8 +155,15 @@ def test___arrays_with_static_shape___convert_complex___preserves_static_and_run
     value_out_3d = convert_complex(np.complex64, value_in_3d)
 
     assert_type(value_out_1d, np.ndarray[tuple[int], np.dtype[np.complex128]])
-    assert_type(value_out_2d, np.ndarray[tuple[int, int], np.dtype[ComplexInt32Base]])
-    assert_type(value_out_3d, np.ndarray[tuple[int, int, int], np.dtype[np.complex64]])
+    # With NumPy 2.5.4, Pyright infers np.ndarray[tuple[Literal[4], Literal[5]], ...]
+    assert_type(
+        value_out_2d,  # pyright: ignore[reportAssertTypeFailure]
+        np.ndarray[tuple[int, int], np.dtype[ComplexInt32Base]],
+    )
+    assert_type(
+        value_out_3d,  # pyright: ignore[reportAssertTypeFailure]
+        np.ndarray[tuple[int, int, int], np.dtype[np.complex64]],
+    )
     assert isinstance(value_out_1d, np.ndarray) and value_out_1d.shape == (3,)
     assert isinstance(value_out_2d, np.ndarray) and value_out_2d.shape == (4, 5)
     assert isinstance(value_out_3d, np.ndarray) and value_out_3d.shape == (6, 7, 8)