Enable TC ruff lint

Author: inducer

arraycontext/container/__init__.py

@@ -40,10 +40,6 @@
 
     :canonical: arraycontext.ArrayContainerT
 
-.. class:: ArrayOrContainerT
-
-    :canonical: arraycontext.ArrayOrContainerT
-
 .. class:: SerializationKey
 
     :canonical: arraycontext.SerializationKey
@@ -90,13 +86,12 @@
 import numpy as np
 from typing_extensions import Self
 
-from arraycontext.context import ArrayContext, ArrayOrScalar
-
 
 if TYPE_CHECKING:
     from pymbolic.geometric_algebra import MultiVector
 
     from arraycontext import ArrayOrContainer
+    from arraycontext.context import ArrayContext, ArrayOrScalar
 
 
 # {{{ ArrayContainer

arraycontext/container/arithmetic.py

@@ -37,11 +37,10 @@
 
 import enum
 import operator
-from collections.abc import Callable
 from dataclasses import dataclass, field
 from functools import partialmethod
 from numbers import Number
-from typing import Any, TypeVar
+from typing import TYPE_CHECKING, Any, TypeVar
 from warnings import warn
 
 import numpy as np
@@ -51,7 +50,12 @@
     deserialize_container,
     serialize_container,
 )
-from arraycontext.context import ArrayContext, ArrayOrContainer
+
+
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+    from arraycontext.context import ArrayContext, ArrayOrContainer
 
 
 # {{{ with_container_arithmetic

arraycontext/container/dataclass.py

@@ -31,13 +31,16 @@
 THE SOFTWARE.
 """
 
-from collections.abc import Mapping, Sequence
 from dataclasses import fields, is_dataclass
-from typing import NamedTuple, Union, get_args, get_origin
+from typing import TYPE_CHECKING, NamedTuple, Union, get_args, get_origin
 
 from arraycontext.container import is_array_container_type
 
 
+if TYPE_CHECKING:
+    from collections.abc import Mapping, Sequence
+
+
 # {{{ dataclass containers
 
 class _Field(NamedTuple):

arraycontext/container/traversal.py

@@ -70,9 +70,8 @@
 THE SOFTWARE.
 """
 
-from collections.abc import Callable, Iterable
 from functools import partial, singledispatch, update_wrapper
-from typing import Any, cast
+from typing import TYPE_CHECKING, Any, cast
 from warnings import warn
 
 import numpy as np
@@ -87,14 +86,19 @@
     get_container_context_recursively_opt,
     serialize_container,
 )
-from arraycontext.context import (
-    Array,
-    ArrayContext,
-    ArrayOrContainer,
-    ArrayOrContainerOrScalar,
-    ArrayOrContainerT,
-    ScalarLike,
-)
+
+
+if TYPE_CHECKING:
+    from collections.abc import Callable, Iterable
+
+    from arraycontext.context import (
+        Array,
+        ArrayContext,
+        ArrayOrContainer,
+        ArrayOrContainerOrScalar,
+        ArrayOrContainerT,
+        ScalarLike,
+    )
 
 
 # {{{ array container traversal helpers
@@ -414,7 +418,7 @@ def rec(keys: tuple[SerializationKey, ...],
         try:
             iterable = serialize_container(ary_)
         except NotAnArrayContainerError:
-            return cast(ArrayOrContainer, f(keys, cast(Array, ary_)))
+            return cast("ArrayOrContainer", f(keys, cast("Array", ary_)))
         else:
             return deserialize_container(ary_, [
                 (key, rec((*keys, key), subary)) for key, subary in iterable
@@ -699,7 +703,7 @@ def _flatten(subary: ArrayOrContainer) -> list[Array]:
         try:
             iterable = serialize_container(subary)
         except NotAnArrayContainerError:
-            subary_c = cast(Array, subary)
+            subary_c = cast("Array", subary)
 
             if common_dtype is None:
                 common_dtype = subary_c.dtype
@@ -786,7 +790,7 @@ def _unflatten(template_subary: ArrayOrContainer) -> ArrayOrContainer:
         try:
             iterable = serialize_container(template_subary)
         except NotAnArrayContainerError:
-            template_subary_c = cast(Array, template_subary)
+            template_subary_c = cast("Array", template_subary)
 
             # {{{ validate subary
 
@@ -877,7 +881,7 @@ def _unflatten(template_subary: ArrayOrContainer) -> ArrayOrContainer:
         raise ValueError("'template' and 'ary' sizes do not match: "
             "'ary' is too large")
 
-    return cast(ArrayOrContainerT, result)
+    return cast("ArrayOrContainerT", result)
 
 
 def flat_size_and_dtype(
@@ -895,7 +899,7 @@ def _flat_size(subary: ArrayOrContainer) -> Array | Integer:
         try:
             iterable = serialize_container(subary)
         except NotAnArrayContainerError:
-            subary_c = cast(Array, subary)
+            subary_c = cast("Array", subary)
 
             if common_dtype is None:
                 common_dtype = subary_c.dtype

arraycontext/context.py

@@ -85,6 +85,11 @@
 Types and Type Variables for Arrays and Containers
 --------------------------------------------------
 
+.. autodata:: ScalarLike
+    :noindex:
+
+    A type alias of :data:`pymbolic.Scalar`.
+
 .. autoclass:: Array
 
 .. autodata:: ArrayT
@@ -176,11 +181,11 @@
 
 from pymbolic.typing import Integer, Scalar as _Scalar
 from pytools import memoize_method
-from pytools.tag import ToTagSetConvertible
 
 
 if TYPE_CHECKING:
     import loopy
+    from pytools.tag import ToTagSetConvertible
 
     from arraycontext.container import ArithArrayContainer, ArrayContainer
 
@@ -254,7 +259,7 @@ def __rtruediv__(self, other: Self | ScalarLike) -> Array: ...
 #
 # For now, they're purposefully not in the main arraycontext.* name space.
 ArrayT = TypeVar("ArrayT", bound=Array)
-ArrayOrScalar: TypeAlias = "Array | ScalarLike"
+ArrayOrScalar: TypeAlias = Array | ScalarLike
 ArrayOrContainer: TypeAlias = "Array | ArrayContainer"
 ArrayOrArithContainer: TypeAlias = "Array | ArithArrayContainer"
 ArrayOrContainerT = TypeVar("ArrayOrContainerT", bound=ArrayOrContainer)

arraycontext/impl/jax/__init__.py

@@ -29,16 +29,21 @@
 THE SOFTWARE.
 """
 
-from collections.abc import Callable
 
-import numpy as np
+from typing import TYPE_CHECKING
 
-from pytools.tag import ToTagSetConvertible
+import numpy as np
 
 from arraycontext.container.traversal import rec_map_array_container, with_array_context
 from arraycontext.context import Array, ArrayContext, ArrayOrContainer, ScalarLike
 
 
+if TYPE_CHECKING:
+    from collections.abc import Callable
+
+    from pytools.tag import ToTagSetConvertible
+
+
 class EagerJAXArrayContext(ArrayContext):
     """
     A :class:`ArrayContext` that uses

arraycontext/impl/jax/fake_numpy.py

@@ -25,6 +25,7 @@
 THE SOFTWARE.
 """
 from functools import partial, reduce
+from typing import TYPE_CHECKING
 
 import numpy as np
 
@@ -39,10 +40,13 @@
     rec_map_reduce_array_container,
     rec_multimap_array_container,
 )
-from arraycontext.context import Array, ArrayOrContainer
 from arraycontext.fake_numpy import BaseFakeNumpyLinalgNamespace, BaseFakeNumpyNamespace
 
 
+if TYPE_CHECKING:
+    from arraycontext.context import Array, ArrayOrContainer
+
+
 class EagerJAXFakeNumpyLinalgNamespace(BaseFakeNumpyLinalgNamespace):
     # Everything is implemented in the base class for now.
     pass

arraycontext/impl/numpy/__init__.py

@@ -33,12 +33,11 @@
 THE SOFTWARE.
 """
 
-from typing import Any, overload
+from typing import TYPE_CHECKING, Any, overload
 
 import numpy as np
 
 import loopy as lp
-from pytools.tag import ToTagSetConvertible
 
 from arraycontext.container.traversal import rec_map_array_container, with_array_context
 from arraycontext.context import (
@@ -52,6 +51,10 @@
 )
 
 
+if TYPE_CHECKING:
+    from pytools.tag import ToTagSetConvertible
+
+
 class NumpyNonObjectArrayMetaclass(type):
     def __instancecheck__(cls, instance: Any) -> bool:
         return isinstance(instance, np.ndarray) and instance.dtype != object

arraycontext/impl/numpy/fake_numpy.py

@@ -26,7 +26,7 @@
 """
 
 from functools import partial, reduce
-from typing import cast
+from typing import TYPE_CHECKING, cast
 
 import numpy as np
 
@@ -37,13 +37,16 @@
     rec_multimap_array_container,
     rec_multimap_reduce_array_container,
 )
-from arraycontext.context import Array, ArrayOrContainer
 from arraycontext.fake_numpy import (
     BaseFakeNumpyLinalgNamespace,
     BaseFakeNumpyNamespace,
 )
 
 
+if TYPE_CHECKING:
+    from arraycontext.context import Array, ArrayOrContainer
+
+
 class NumpyFakeNumpyLinalgNamespace(BaseFakeNumpyLinalgNamespace):
     # Everything is implemented in the base class for now.
     pass
@@ -150,7 +153,7 @@ def array_equal(self, a: ArrayOrContainer, b: ArrayOrContainer) -> Array:
                 return false_ary
             return np.logical_and.reduce(
                     [(true_ary if kx_i == ky_i else false_ary)
-                        and cast(np.ndarray, self.array_equal(x_i, y_i))
+                        and cast("np.ndarray", self.array_equal(x_i, y_i))
                         for (kx_i, x_i), (ky_i, y_i)
                         in zip(serialized_x, serialized_y, strict=True)],
                     initial=true_ary)

arraycontext/impl/pyopencl/__init__.py

@@ -31,14 +31,11 @@
 THE SOFTWARE.
 """
 
-from collections.abc import Callable
 from typing import TYPE_CHECKING, Literal
 from warnings import warn
 
 import numpy as np
 
-from pytools.tag import ToTagSetConvertible
-
 from arraycontext.container.traversal import rec_map_array_container, with_array_context
 from arraycontext.context import (
     Array,
@@ -50,9 +47,12 @@
 
 
 if TYPE_CHECKING:
+    from collections.abc import Callable
+
     import loopy as lp
     import pyopencl as cl
     import pyopencl.array as cl_array
+    from pytools.tag import ToTagSetConvertible
 
 
 # {{{ PyOpenCLArrayContext