mypy: fix graph.py

pytensor/gradient.py

@@ -4,7 +4,7 @@ import time
 import warnings
 from collections.abc import Callable, Mapping, MutableSequence, Sequence
 from functools import partial, reduce
-from typing import TYPE_CHECKING, Literal, TypeVar, Union
+from typing import TYPE_CHECKING, Literal, TypeVar, Union, overload
 
 import numpy as np
 
@@ -414,6 +414,32 @@ def Lop(
     return as_list_or_tuple(using_list, using_tuple, ret)
 
 
+@overload
+def grad(
+    cost: Variable | None,
+    wrt: Variable | Sequence[Variable],
+    consider_constant: Sequence[Variable] | None = ...,
+    disconnected_inputs: Literal["ignore", "warn", "raise"] = ...,
+    add_names: bool = ...,
+    known_grads: Mapping[Variable, Variable] | None = ...,
+    return_disconnected: Literal["zero", "disconnected"] = ...,
+    null_gradients: Literal["raise", "return"] = ...,
+) -> Variable | None | Sequence[Variable]: ...
+
+
+@overload
+def grad(
+    cost: Variable | None,
+    wrt: Variable | Sequence[Variable],
+    consider_constant: Sequence[Variable] | None = ...,
+    disconnected_inputs: Literal["ignore", "warn", "raise"] = ...,
+    add_names: bool = ...,
+    known_grads: Mapping[Variable, Variable] | None = ...,
+    return_disconnected: Literal["none"] = ...,
+    null_gradients: Literal["raise", "return"] = ...,
+) -> Variable | None | Sequence[Variable | None]: ...
+
+
 def grad(
     cost: Variable | None,
     wrt: Variable | Sequence[Variable],
@@ -423,7 +449,7 @@ def grad(
     known_grads: Mapping[Variable, Variable] | None = None,
     return_disconnected: Literal["none", "zero", "disconnected"] = "zero",
     null_gradients: Literal["raise", "return"] = "raise",
-) -> Variable | None | Sequence[Variable | None]:
+) -> Variable | None | Sequence[Variable | None] | Sequence[Variable]:
     """
     Return symbolic gradients of one cost with respect to one or more variables.
 

pytensor/graph/basic.py

@@ -1313,8 +1313,9 @@ def clone_get_equiv(
     outputs: Reversible[Variable],
     copy_inputs: bool = True,
     copy_orphans: bool = True,
-    memo: dict[Union[Apply, Variable, "Op"], Union[Apply, Variable, "Op"]]
-    | None = None,
+    memo: (
+        dict[Union[Apply, Variable, "Op"], Union[Apply, Variable, "Op"]] | None
+    ) = None,
     clone_inner_graphs: bool = False,
     **kwargs,
 ) -> dict[Union[Apply, Variable, "Op"], Union[Apply, Variable, "Op"]]: