"username": "foo",
            "password": "fighter",
            "email": "******@****.***",
            "full_name": "Grave Dohl",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "foo",
        "email": "******@****.***",
        "full_name": "Grave Dohl",
    }


def test_openapi_schema():
    response = client.get("/openapi.json")

            "username": "foo",
            "password": "fighter",
            "email": "******@****.***",
            "full_name": "Grave Dohl",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "foo",
        "email": "******@****.***",
        "full_name": "Grave Dohl",
    }


@needs_py310
def test_openapi_schema(client: TestClient):

func getSource(level int) string {
	pc, file, lineNumber, ok := runtime.Caller(level)
	if ok {
		// Clean up the common prefixes
		file = trimTrace(file)
		_, funcName := filepath.Split(runtime.FuncForPC(pc).Name())
		return fmt.Sprintf("%v:%v:%v()", file, lineNumber, funcName)
	}
	return ""
}

// getTrace method - creates and returns stack trace
func getTrace(traceLevel int) []string {
	var trace []string

        lastname: str

    class Person(PersonBase):
        @property
        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()

    TF_DeleteGraph(func_graph_);
    TF_DeleteStatus(s_);
  }

  const char* func_name_ = "MyFunc";
  TF_Status* s_;
  TF_Graph* func_graph_;
  TF_Function* func_;
};

TEST_F(CApiExperimentalFunctionTest, GraphRemoveFunction) {
  TF_Function* funcs[1];
  DefineFunction(func_name_, &func_);

  TF_GraphCopyFunction(func_graph_, func_, nullptr, s_);

class UserIn(BaseModel):
    username: str
    password: str
    email: EmailStr
    full_name: Union[str, None] = None


class UserOut(BaseModel):
    username: str
    email: EmailStr
    full_name: Union[str, None] = None


class UserInDB(BaseModel):
    username: str
    hashed_password: str
    email: EmailStr
    full_name: Union[str, None] = None


def fake_password_hasher(raw_password: str):

			if ok {
				tc.FuncName = "handler.ValidRequest"
				tc.ResponseRecorder.LogErrBody = true
			}

			defer logger.AuditLog(r.Context(), w, r, mustGetClaimsFromToken(r))
			writeErrorResponse(r.Context(), w, errorCodes.ToAPIErr(ErrUnsupportedMetadata), r.URL)
			return
		}

		if isHTTPHeaderSizeTooLarge(r.Header) {
			if ok {
				tc.FuncName = "handler.ValidRequest"

class UserIn(BaseModel):
    username: str
    password: str
    email: EmailStr
    full_name: str | None = None


class UserOut(BaseModel):
    username: str
    email: EmailStr
    full_name: str | None = None


class UserInDB(BaseModel):
    username: str
    hashed_password: str
    email: EmailStr
    full_name: str | None = None


def fake_password_hasher(raw_password: str):

from typing_extensions import Annotated

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {
        "username": "alice",
        "full_name": "Alice Wonderson",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret2",

from pydantic import BaseModel

fake_users_db = {
    "johndoe": {
        "username": "johndoe",
        "full_name": "John Doe",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret",
        "disabled": False,
    },
    "alice": {
        "username": "alice",
        "full_name": "Alice Wonderson",
        "email": "******@****.***",
        "hashed_password": "fakehashedsecret2",