Update to pyright==1.1.335

.github/workflows/ci.yml

@@ -269,7 +269,7 @@ jobs:
         node-version: '18'
 
     - name: install pyright
-      run: npm install -g pyright@1.1.322  # try to keep this in sync with .pre-commit-config.yaml
+      run: npm install -g pyright@1.1.335  # try to keep this in sync with .pre-commit-config.yaml
 
     - name: run pyright tests
       run: make test-pyright

.pre-commit-config.yaml

@@ -36,4 +36,4 @@ repos:
     types: [python]
     language: node
     pass_filenames: false
-    additional_dependencies: ["pyright@1.1.322"]
+    additional_dependencies: ["pyright@1.1.335"]  # try to keep this in sync with .github/workflows/ci.yml

pydantic/_internal/_utils.py

@@ -309,7 +309,7 @@ def smart_deepcopy(obj: Obj) -> Obj:
     try:
         if not obj and obj_type in BUILTIN_COLLECTIONS:
             # faster way for empty collections, no need to copy its members
-            return obj if obj_type is tuple else obj.copy()  # tuple doesn't have copy method
+            return obj if obj_type is tuple else obj.copy()  # tuple doesn't have copy method  # type: ignore
     except (TypeError, ValueError, RuntimeError):
         # do we really dare to catch ALL errors? Seems a bit risky
         pass

pydantic/deprecated/parse.py

@@ -46,11 +46,11 @@ def load_str_bytes(
     if proto == Protocol.json:
         if isinstance(b, bytes):
             b = b.decode(encoding)
-        return json_loads(b)
+        return json_loads(b)  # type: ignore
     elif proto == Protocol.pickle:
         if not allow_pickle:
             raise RuntimeError('Trying to decode with pickle with allow_pickle=False')
-        bb = b if isinstance(b, bytes) else b.encode()
+        bb = b if isinstance(b, bytes) else b.encode()  # type: ignore
         return pickle.loads(bb)
     else:
         raise TypeError(f'Unknown protocol: {proto}')

pydantic/fields.py

@@ -244,7 +244,7 @@ class MyModel(pydantic.BaseModel):
         return cls(default=default, **kwargs)
 
     @classmethod
-    def from_annotation(cls, annotation: type[Any]) -> typing_extensions.Self:
+    def from_annotation(cls, annotation: type[Any]) -> FieldInfo:
         """Creates a `FieldInfo` instance from a bare annotation.
 
         Args:
@@ -306,7 +306,7 @@ class MyModel(pydantic.BaseModel):
         return cls(annotation=annotation, frozen=final or None)
 
     @classmethod
-    def from_annotated_attribute(cls, annotation: type[Any], default: Any) -> typing_extensions.Self:
+    def from_annotated_attribute(cls, annotation: type[Any], default: Any) -> FieldInfo:
         """Create `FieldInfo` from an annotation with a default value.
 
         Args:
@@ -402,7 +402,7 @@ def merge_field_infos(*field_infos: FieldInfo, **overrides: Any) -> FieldInfo:
             field_info._attributes_set.update(overrides)
             for k, v in overrides.items():
                 setattr(field_info, k, v)
-            return field_info
+            return field_info  # type: ignore
 
         new_kwargs: dict[str, Any] = {}
         metadata = {}

pydantic/type_adapter.py

@@ -125,7 +125,7 @@ def __new__(cls, __type: type[T], *, config: ConfigDict | None = ...) -> TypeAda
         def __new__(cls, __type: T, *, config: ConfigDict | None = ...) -> TypeAdapter[T]:
             ...
 
-        def __new__(cls, __type: Any, *, config: ConfigDict | None = ...) -> TypeAdapter[T]:
+        def __new__(cls, __type: Any, *, config: ConfigDict | None = None) -> TypeAdapter[T]:
             """A class representing the type adapter."""
             raise NotImplementedError