def full_name(self) -> str:
            return f"{self.name} {self.lastname}"

        model_config = ConfigDict(from_attributes=True)

    class PersonCreate(PersonBase):
        pass

    class PersonRead(PersonBase):
        full_name: str

        model_config = {"from_attributes": True}

    app = FastAPI()

    @app.post("/people/", response_model=PersonRead)

@needs_pydanticv2
def test_get_model_config():
    # For coverage in Pydantic v2
    class Foo(BaseModel):
        model_config = ConfigDict(from_attributes=True)

    foo = Foo()
    config = _get_model_config(foo)
    assert config == {"from_attributes": True}


def test_complex():
    app = FastAPI()

    @app.post("/")
    def foo(foo: Union[str, List[int]]):
        return foo

    <inspection_tool class="62125fc1-a999-3cf1-9b9b-a30b4375d9bf" enabled="true" level="WARNING" enabled_by_default="true" />
    <inspection_tool class="73cd39e8-e54e-3a38-ad1b-b883fff4b1eb" enabled="true" level="WEAK WARNING" enabled_by_default="true" editorAttributes="INFO_ATTRIBUTES" />

    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "model_attributes_type",
                    "loc": ["body"],
                    "msg": "Input should be a valid dictionary or object to extract fields from",
                    "input": "name=Foo&price=50.5",
                }

    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "model_attributes_type",
                    "loc": ["body"],
                    "msg": "Input should be a valid dictionary or object to extract fields from",
                    "input": "name=Foo&price=50.5",
                }

                            temp.toPath(),
                            destination.toPath(),
                            StandardCopyOption.REPLACE_EXISTING,
                            StandardCopyOption.COPY_ATTRIBUTES);

                    if (!temp.delete()) {
                        temp.deleteOnExit();
                    }
                } catch (IOException e) {
                    throw new TransferFailedException(

            Files.copy(
                    artifact.getPath(),
                    target,
                    StandardCopyOption.REPLACE_EXISTING,
                    StandardCopyOption.COPY_ATTRIBUTES);
        } catch (IOException e) {
            LOGGER.error("Error while copying artifact to project local repository", e);
        }
    }

    private Path getArtifactPath(Artifact artifact) {

            loc: Tuple[Union[int, str], ...] = (),
        ) -> Tuple[Any, Union[List[Dict[str, Any]], None]]:
            try:
                return (
                    self._type_adapter.validate_python(value, from_attributes=True),
                    None,
                )
            except ValidationError as exc:
                return None, _regenerate_error_with_loc(

#include "tensorflow/core/common_runtime/eager/tensor_handle.h"
#include "tensorflow/core/common_runtime/function.h"
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/device_attributes.pb.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/framework/rendezvous.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"

      <scope name="runtime.classes" level="ERROR" enabled="true" />
    </inspection_tool>
    <inspection_tool class="LoggingStringTemplateAsArgument" enabled="true" level="TEXT ATTRIBUTES" enabled_by_default="true" editorAttributes="CONSIDERATION_ATTRIBUTES" />
    <inspection_tool class="MethodMayBeStatic" enabled="true" level="WARNING" enabled_by_default="true">
      <option name="m_onlyPrivateOrFinal" value="false" />