response = client.post(
            "/files/",
            data={"token": "foo"},
            files={"file": filea, "fileb": ("testb.txt", fileb, "text/plain")},
        )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "file_size": 14,
        "token": "foo",
        "fileb_content_type": "text/plain",
    }

        response = client.post(
            "/files/",
            data={"token": "foo"},
            files={"file": filea, "fileb": ("testb.txt", fileb, "text/plain")},
        )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "file_size": 14,
        "token": "foo",
        "fileb_content_type": "text/plain",
    }


@needs_py39

client = TestClient(app)


def test_path_operation():
    response = client.get("/items/foo")
    assert response.status_code == 200, response.text
    assert response.json() == {"id": "foo", "value": "there goes my hero"}


def test_path_operation_img():
    shutil.copy("./docs/en/docs/img/favicon.png", "./image.png")
    response = client.get("/items/foo?img=1")
    assert response.status_code == 200, response.text

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: float = 10.5
    tags: list[str] = []


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2},
    "baz": {"name": "Baz", "description": None, "price": 50.2, "tax": 10.5, "tags": []},
}

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: float = 10.5


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The Bar fighters", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",
        "description": "There goes my baz",
        "price": 50.2,

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: float = 10.5


items = {
    "foo": {"name": "Foo", "price": 50.2},
    "bar": {"name": "Bar", "description": "The Bar fighters", "price": 62, "tax": 20.2},
    "baz": {
        "name": "Baz",
        "description": "There goes my baz",
        "price": 50.2,

    #   o schema: (NotRequired - Default treated as no schema setting)
    #   o user: (Required)
    #   o password: password plainly or path to password file (with default password)
    #       e.g. foo or df:dfprop/system-password.txt|foo
    #       (NotRequired - Default '')
    #   o isSkipIfNotFoundPasswordFileAndDefault: Does it skip the user SQL statement
    #       when using password file but not found it and also default password?

    Iterator<String> unfiltered = Lists.newArrayList("foo", "bar").iterator();
    Iterator<String> filtered = filter(unfiltered, equalTo("foo"));
    List<String> expected = singletonList("foo");
    List<String> actual = Lists.newArrayList(filtered);
    assertEquals(expected, actual);
  }

  public void testFilterNoMatch() {
    Iterator<String> unfiltered = Lists.newArrayList("foo", "bar").iterator();

The defaultValueMap.dataprop is for common columns like this:
/- - - - - - - - - - - - - - - - - - - -
map:{
    ; REGISTER_DATETIME = sysdate
    ; REGISTER_USER     = foo
    ; REGISTER_PROCESS  = bar
    ; UPDATE_DATETIME   = sysdate
    ; UPDATE_USER       = foo
    ; UPDATE_PROCESS    = bar
    ; VERSION_NO        = 0
}

                    "example": {"id": "bar", "value": "The bar tenders"}
                }
            },
        },
    },
)
async def read_item(item_id: str):
    if item_id == "foo":
        return {"id": "foo", "value": "there goes my hero"}
    else: