pythonJob.arg("single1").args("multi1", "multi2").arg("single2").args("multi3");

        assertEquals(5, pythonJob.argList.size());
        assertEquals("single1", pythonJob.argList.get(0));
        assertEquals("multi1", pythonJob.argList.get(1));
        assertEquals("multi2", pythonJob.argList.get(2));
        assertEquals("single2", pythonJob.argList.get(3));
        assertEquals("multi3", pythonJob.argList.get(4));
    }

        return item

    @app.get("/items/")
    def read_items() -> list[Item]:
        return [
            Item(
                name="Portal Gun",
                description="Device to travel through the multi-rick-verse",
                sub=SubItem(subname="subname"),
            ),
            Item(name="Plumbus"),
        ]

    @app.post("/with-computed-field/")
    def create_with_computed_field(

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None


items = [
    Item(name="Plumbus", description="A multi-purpose household device."),
    Item(name="Portal Gun", description="A portal opening device."),
    Item(name="Meeseeks Box", description="A box that summons a Meeseeks."),
]


@app.get("/items/stream")

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None


items = [
    Item(name="Plumbus", description="A multi-purpose household device."),
    Item(name="Portal Gun", description="A portal opening device."),
    Item(name="Meeseeks Box", description="A box that summons a Meeseeks."),
]

            }

            @Override
            public String minKey() {
                return "multi.min";
            }

            @Override
            public String maxKey() {
                return "multi.max";
            }
        };

        assertEquals("Should have 2 groups", 2, multiAnnotation.groups().length);

        assertNotNull(result);
        assertTrue(result instanceof FunctionScoreQueryBuilder);

        String queryString = result.toString();
        // Multi-word query should NOT have prefix boost on text field
        assertTrue("Should have field value factors", queryString.contains("field_value_factor"));
    }

    @Test

## Description from docstring { #description-from-docstring }

As descriptions tend to be long and cover multiple lines, you can declare the *path operation* description in the function <dfn title="a multi-line string as the first expression inside a function (not assigned to any variable) used for documentation">docstring</dfn> and **FastAPI** will read it from there.

Ответ будет иметь тип содержимого `application/jsonl` (вместо `application/json`), а тело ответа будет примерно таким:

```json
{"name": "Plumbus", "description": "A multi-purpose household device."}
{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```

Відповідь матиме тип вмісту `application/jsonl` (замість `application/json`), а тіло буде приблизно таким:

```json
{"name": "Plumbus", "description": "A multi-purpose household device."}
{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```

Response’un `application/json` yerine `application/jsonl` içerik türü (Content-Type) olur ve body aşağıdaki gibi görünür:

```json
{"name": "Plumbus", "description": "A multi-purpose household device."}
{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```