MAINT general deps bump

Author: crusaderky

pixi.lock

@@ -136,6 +136,7 @@ numpy = "=1.22.0"
 pytorch = "*"
 dask = "*"
 numba = "*"  # sparse dependency
+llvmlite = "*"  # sparse dependency
 
 [tool.pixi.feature.backends.pypi-dependencies]
 sparse = { version = ">= 0.16.0b3" }
@@ -166,19 +167,23 @@ cupy = "*"
 # jaxlib = { version = "*", build = "cuda12*" }  # unavailable
 
 [tool.pixi.environments]
-default = { solve-group = "default" }
-lint = { features = ["lint"], solve-group = "default" }
-tests = { features = ["tests"], solve-group = "default" }
-docs = { features = ["docs"], solve-group = "default" }
-dev = { features = ["lint", "tests", "docs", "dev", "backends"], solve-group = "default" }
-dev-cuda = { features = ["lint", "tests", "docs", "dev", "backends", "cuda-backends"] }
-dev-numpy1 = { features = ["lint", "tests", "dev", "numpy1"] }
+default = { features = ["py313"], solve-group = "py313" }
+lint = { features = ["py313", "lint"], solve-group = "py313" }
+docs = { features = ["py313", "docs"], solve-group = "py313" }
+tests = { features = ["py313", "tests"], solve-group = "py313" }
+tests-py313 = { features = ["py313", "tests"], solve-group = "py313" }  # alias of tests
+
+# Some backends may pin numpy; use separate solve-group
+dev = { features = ["py310", "lint", "tests", "docs", "dev", "backends"], solve-group = "backends" }
+tests-backends = { features = ["py310", "tests", "backends"], solve-group = "backends" }
+
+# CUDA not available on free github actions and on some developers' PCs
+dev-cuda = { features = ["py310", "lint", "tests", "docs", "dev", "backends", "cuda-backends"], solve-group = "cuda" }
+tests-cuda = { features = ["py310", "tests", "backends", "cuda-backends"], solve-group = "cuda" }
+
+# Ungrouped environments)
 tests-numpy1 = ["py310", "tests", "numpy1"]
 tests-py310 = ["py310", "tests"]
-tests-py313 = ["py313", "tests"]
-# CUDA not available on free github actions and on some developers' PCs
-tests-backends = ["py310", "tests", "backends"]
-tests-cuda = ["py310", "tests", "backends", "cuda-backends"]
 
 
 # pytest

pyproject.toml

@@ -338,7 +338,7 @@ def wrapper(  # type: ignore[decorated-any,explicit-any]
                 if as_numpy:
                     import numpy as np
 
-                    arg = cast(Array, np.asarray(arg))  # type: ignore[bad-cast]  # noqa: PLW2901  # pyright: ignore[reportInvalidCast]
+                    arg = cast(Array, np.asarray(arg))  # type: ignore[bad-cast]  # noqa: PLW2901
             args_list.append(arg)
         assert device is not None
 

src/array_api_extra/_lib/_lazy.py

@@ -106,7 +106,7 @@ def xp_assert_equal(actual: Array, desired: Array, err_msg: str = "") -> None:
             desired = desired.todense()  # type: ignore[attr-defined]  # pyright: ignore[reportAttributeAccessIssue]
 
         # JAX uses `np.testing`
-        np.testing.assert_array_equal(actual, desired, err_msg=err_msg)  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
+        np.testing.assert_array_equal(actual, desired, err_msg=err_msg)  # pyright: ignore[reportUnknownArgumentType]
 
 
 def xp_assert_close(

src/array_api_extra/_lib/_testing.py

@@ -187,7 +187,7 @@ def test_copy_invalid():
 
 
 def test_xp():
-    a = cast(Array, np.asarray([1, 2, 3]))  # type: ignore[bad-cast]  # pyright: ignore[reportInvalidCast]
+    a = cast(Array, np.asarray([1, 2, 3]))  # type: ignore[bad-cast]
     _ = at(a, 0).set(4, xp=np)
     _ = at(a, 0).add(4, xp=np)
     _ = at(a, 0).subtract(4, xp=np)

tests/test_at.py

@@ -193,7 +193,7 @@ def test_device(self, xp: ModuleType, device: Device):
         assert get_device(y) == device
 
     @pytest.mark.filterwarnings("ignore::RuntimeWarning")  # overflows, etc.
-    @hypothesis.settings(  # pyright: ignore[reportArgumentType]
+    @hypothesis.settings(
         # The xp and library fixtures are not regenerated between hypothesis iterations
         suppress_health_check=[hypothesis.HealthCheck.function_scoped_fixture],
         # JAX can take a long time to initialize on the first call

tests/test_funcs.py

@@ -136,7 +136,7 @@ def f(x: Array) -> Array:
         xp = array_namespace(x)
         return xp.sum(x, axis=0) + x
 
-    x_np = cast(Array, np.arange(15).reshape(5, 3))  # type: ignore[bad-cast]   # pyright: ignore[reportInvalidCast]
+    x_np = cast(Array, np.arange(15).reshape(5, 3))  # type: ignore[bad-cast]
     expect = da.asarray(f(x_np))
     x_da = da.asarray(x_np).rechunk(3)
 
@@ -419,6 +419,6 @@ def f(x: Array) -> Array:
     with pytest.raises(ValueError, match="multiple shapes but only one dtype"):
         _ = lazy_apply(f, x, shape=[(1,), (2,)], dtype=np.int32)  # type: ignore[call-overload]  # pyright: ignore[reportCallIssue,reportArgumentType]
     with pytest.raises(ValueError, match="single shape but multiple dtypes"):
-        _ = lazy_apply(f, x, shape=(1,), dtype=[np.int32, np.int64])
+        _ = lazy_apply(f, x, shape=(1,), dtype=[np.int32, np.int64])  # pyright: ignore[reportCallIssue,reportArgumentType]
     with pytest.raises(ValueError, match="2 shapes and 1 dtypes"):
         _ = lazy_apply(f, x, shape=[(1,), (2,)], dtype=[np.int32])  # type: ignore[arg-type]  # pyright: ignore[reportCallIssue,reportArgumentType]