py314, pytest 9, and other dev dep updates

.github/workflows/ci.yml

@@ -34,9 +34,9 @@ jobs:
       - name: typos
         uses: crate-ci/[email protected]
 
-      - uses: astral-sh/[email protected].2
+      - uses: astral-sh/[email protected].3
         with:
-          python-version: "3.13"
+          python-version: "3.14"
 
       - name: ruff check
         run: uv run ruff check --output-format=github
@@ -60,10 +60,13 @@ jobs:
             np: "1.25"
           - py: "3.13"
             np: "2.0"
+        include:
+          - py: "3.14"
+            np: "2.3"
     steps:
       - uses: actions/[email protected]
 
-      - uses: astral-sh/[email protected].2
+      - uses: astral-sh/[email protected].3
         with:
           activate-environment: true
           python-version: ${{ matrix.py }}
@@ -108,7 +111,7 @@ jobs:
     steps:
       - uses: actions/[email protected]
 
-      - uses: astral-sh/[email protected].2
+      - uses: astral-sh/[email protected].3
         with:
           python-version: ${{ matrix.py }}
 

.github/workflows/publish-pypi.yml

@@ -21,9 +21,9 @@ jobs:
     steps:
       - uses: actions/[email protected]
 
-      - uses: astral-sh/[email protected].2
+      - uses: astral-sh/[email protected].3
         with:
-          python-version: "3.13"
+          python-version: "3.14"
 
       - name: uv build
         run: uv build

pyproject.toml

@@ -1,5 +1,5 @@
 [build-system]
-requires = ["uv_build>=0.9.0,<0.10.0"]
+requires = ["uv_build>=0.9.8,<0.10.0"]
 build-backend = "uv_build"
 
 [tool.uv.build-backend]
@@ -68,19 +68,19 @@ extra = [
 ]
 lint = [
   "dprint-py>=0.50.2.0",
-  "ruff>=0.14.0",
-  "sp-repo-review[cli]>=2025.10.1",
+  "ruff>=0.14.4",
+  "sp-repo-review[cli]>=2025.11.10",
 ]
 test = [
   { include-group = "extra" },
-  "beartype>=0.22.2",
-  "pytest>=8.4.2",
+  "beartype>=0.22.5",
+  "pytest>=9.0.0",
   "typing-extensions>=4.15.0",
 ]
 type = [
   { include-group = "extra" },
   { include-group = "test" },
-  "basedpyright>=1.31.7",
+  "basedpyright>=1.33.0",
   "mypy[faster-cache]>=1.18.2",
   "pyrefly==0.40.1",
 ]
@@ -138,14 +138,14 @@ reportUnusedVariable = false # dupe of F841
 
 # pytest
 
-[tool.pytest.ini_options]
-minversion = "8.0"
+[tool.pytest]
+minversion = "9.0"
 testpaths = ["optype", "examples", "tests"]
-addopts = ["-ra", "--doctest-modules", "--strict-config", "--strict-markers"]
+addopts = ["-ra", "--doctest-modules"]
 doctest_optionflags = ["NORMALIZE_WHITESPACE", "IGNORE_EXCEPTION_DETAIL", "ELLIPSIS"]
 filterwarnings = ["error"]
 log_cli_level = "INFO"
-xfail_strict = true
+strict = true
 
 # repo-review
 

tests/numpy/test_any_array.py

@@ -13,46 +13,46 @@
 # All allowed arguments that when passed to `np.array`, will result in an
 # array of the specified scalar type(s).
 
-_UNSIGNED_INTEGER_NP: Final = (
+_UNSIGNED_INTEGER_NP: Final = {
     np.uint8, np.uint16, np.uint32, np.uint64, np.uintp,
     np.ubyte, np.ushort, np.uintc, ulong, np.ulonglong,
-)  # fmt: skip
-_UNSIGNED_INTEGER_CT: Final = (
+}  # fmt: skip
+_UNSIGNED_INTEGER_CT: Final = {
     ct.c_uint8, ct.c_uint16, ct.c_uint32, ct.c_uint64, ct.c_size_t,
     ct.c_ubyte, ct.c_ushort, ct.c_uint, ct.c_ulong, ct.c_ulonglong,
-)  # fmt: skip
-UNSIGNED_INTEGER: Final = *_UNSIGNED_INTEGER_NP, *_UNSIGNED_INTEGER_CT
-_SIGNED_INTEGER_NP: Final = (
+}  # fmt: skip
+UNSIGNED_INTEGER: Final = _UNSIGNED_INTEGER_NP | _UNSIGNED_INTEGER_CT
+_SIGNED_INTEGER_NP: Final = {
     np.int8, np.int16, np.int32, np.int64, np.intp,
     np.byte, np.short, np.intc, long, np.longlong,
-)  # fmt: skip
-_SIGNED_INTEGER_CT: Final = (
+}  # fmt: skip
+_SIGNED_INTEGER_CT: Final = {
     ct.c_int8, ct.c_int16, ct.c_int32, ct.c_int64, ct.c_ssize_t,
     ct.c_byte, ct.c_short, ct.c_int, ct.c_long, ct.c_longlong,
-)  # fmt: skip
-SIGNED_INTEGER: Final = *_SIGNED_INTEGER_NP, *_SIGNED_INTEGER_CT
-INTEGER: Final = *UNSIGNED_INTEGER, *SIGNED_INTEGER
+}  # fmt: skip
+SIGNED_INTEGER: Final = _SIGNED_INTEGER_NP | _SIGNED_INTEGER_CT
+INTEGER: Final = UNSIGNED_INTEGER | SIGNED_INTEGER
 
-_FLOATING_NP: Final = (
+_FLOATING_NP: Final = {
     np.float16, np.float32, np.float64,
     np.half, np.single, np.double, np.longdouble,
-)  # fmt: skip
-_FLOATING_CT: Final = ct.c_float, ct.c_double
-FLOATING: Final = *_FLOATING_NP, *_FLOATING_CT
-COMPLEX_FLOATING: Final = (
+}  # fmt: skip
+_FLOATING_CT: Final = {ct.c_float, ct.c_double}
+FLOATING: Final = _FLOATING_NP | _FLOATING_CT
+COMPLEX_FLOATING: Final = {
     np.complex64, np.complex128, np.csingle, np.cdouble, np.clongdouble,
-)  # fmt: skip
-DATETIME64: Final = np.datetime64, dt.datetime
-TIMEDELTA64: Final = np.timedelta64, dt.timedelta
-STR: Final = np.str_, str
-BYTES: Final = np.bytes_, ct.c_char, bytes
-CHARACTER: Final = *STR, *BYTES
+}  # fmt: skip
+DATETIME64: Final = {np.datetime64, dt.datetime}
+TIMEDELTA64: Final = {np.timedelta64, dt.timedelta}
+STR: Final = {np.str_, str}
+BYTES: Final = {np.bytes_, ct.c_char, bytes}
+CHARACTER: Final = STR | BYTES
 # TODO(jorenham): structured dtype support
 # https://github.com/jorenham/optype/issues/371
-VOID: Final = (np.void,)
-FLEXIBLE: Final = *VOID, *CHARACTER
-BOOL: Final = np.bool_, ct.c_bool, bool
-OBJECT: Final = np.object_, ct.py_object
+VOID: Final = {np.void}
+FLEXIBLE: Final = VOID | CHARACTER
+BOOL: Final = {np.bool_, ct.c_bool, bool}
+OBJECT: Final = {np.object_, ct.py_object}
 
 
 def _shape(a: object, /) -> tuple[int, ...]:
@@ -223,7 +223,7 @@ def test_any_flexible_array(
     assert np.issubdtype(x.dtype, np.flexible)
 
 
-@pytest.mark.parametrize("sctype", BOOL)
+@pytest.mark.parametrize("sctype", BOOL, ids="{0.__module__}.{0.__qualname__}".format)
 def test_any_bool_array(sctype: type[bool | np.bool_ | _ct.Bool]) -> None:
     x = np.array(sctype(True))
     x_any: onp.AnyBoolArray = x

tests/numpy/test_is.py

@@ -14,7 +14,8 @@
 else:
     CHARS = "?BbHhIiLlQqPpefdgFDGSUVOMm"  # pyright: ignore[reportConstantRedefinition]
 
-DTYPES = [np.dtype(char) for char in CHARS]
+# dtypes aren't hashable on numpy<2
+DTYPES = set({str(np.dtype(char)): np.dtype(char) for char in CHARS}.values())
 SCTYPES = {dtype.type for dtype in DTYPES if issubclass(dtype.type, np.generic)}
 NDARRAY_TYPES = np.ndarray, np.ma.MaskedArray