lint

.github/workflows/ci.yml

@@ -56,6 +56,9 @@ jobs:
                 curl -L -O https://tiker.net/ci-support-v0
                 . ./ci-support-v0
 
+                CONDA_ENVIRONMENT=.test-conda-env-py3.yml
+                echo "- cupy" >> "$CONDA_ENVIRONMENT"
+
                 build_py_project_in_conda_env
                 python -m pip install mypy pytest
                 ./run-mypy.sh

arraycontext/impl/cupy/__init__.py

@@ -33,7 +33,9 @@
 THE SOFTWARE.
 """
 
-from typing import Any
+from typing import Any, overload
+
+import numpy as np
 
 import loopy as lp
 from pytools.tag import ToTagSetConvertible
@@ -44,6 +46,7 @@
     ArrayContext,
     ArrayOrContainerOrScalar,
     ArrayOrContainerOrScalarT,
+    ContainerOrScalarT,
     NumpyOrContainerOrScalar,
     UntransformedCodeWarning,
 )
@@ -83,12 +86,28 @@ def _get_fake_numpy_namespace(self):
     def clone(self):
         return type(self)()
 
+    @overload
+    def from_numpy(self, array: np.ndarray) -> Array:
+        ...
+
+    @overload
+    def from_numpy(self, array: ContainerOrScalarT) -> ContainerOrScalarT:
+        ...
+
     def from_numpy(self,
                    array: NumpyOrContainerOrScalar
                    ) -> ArrayOrContainerOrScalar:
         import cupy as cp
         return cp.array(array)
 
+    @overload
+    def to_numpy(self, array: Array) -> np.ndarray:
+        ...
+
+    @overload
+    def to_numpy(self, array: ContainerOrScalarT) -> ContainerOrScalarT:
+        ...
+
     def to_numpy(self,
                  array: ArrayOrContainerOrScalar
                  ) -> NumpyOrContainerOrScalar:

arraycontext/impl/cupy/fake_numpy.py

@@ -1,3 +1,6 @@
+from __future__ import annotations
+
+
 __copyright__ = """
 Copyright (C) 2024 University of Illinois Board of Trustees
 """
@@ -164,7 +167,7 @@ def array_equal(self, a: ArrayOrContainer, b: ArrayOrContainer) -> Array:
                     [(true_ary if kx_i == ky_i else false_ary)
                         and self.array_equal(x_i, y_i)
                         for (kx_i, x_i), (ky_i, y_i)
-                        in zip(serialized_x, serialized_y)],
+                        in zip(serialized_x, serialized_y, strict=True)],
                     true_ary)
 
     def arange(self, *args, **kwargs):
@@ -176,14 +179,14 @@ def linspace(self, *args, **kwargs):
         return cp.linspace(*args, **kwargs)
 
     def zeros_like(self, ary):
-        if isinstance(ary, (int, float, complex)):
+        if isinstance(ary, int | float | complex):
             import cupy as cp
             # Cupy does not support zeros_like with scalar arguments
             ary = cp.array(ary)
         return rec_map_array_container(cp.zeros_like, ary)
 
     def ones_like(self, ary):
-        if isinstance(ary, (int, float, complex)):
+        if isinstance(ary, int | float | complex):
             import cupy as cp
             # Cupy does not support ones_like with scalar arguments
             ary = cp.array(ary)