}

	return nil
}

//msgp:ignore batchExpireJobError
type batchExpireJobError struct {
	Code           string
	Description    string
	HTTPStatusCode int
}

func (e batchExpireJobError) Error() string {
	return e.Description
}

// maxBatchRules maximum number of rules a batch-expiry job supports
const maxBatchRules = 50

// Validate validates the job definition input

from typing import Union

from fastapi import FastAPI
from pydantic.v1 import BaseModel


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


app = FastAPI()


@app.post("/items/")
async def create_item(item: Item) -> Item:

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


class User(BaseModel):
    username: str
    full_name: str | None = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int,
    item: Item,
    user: User,

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None


app = FastAPI()


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

    <version>33.4.0-android</version>
  </parent>
  <artifactId>failureaccess</artifactId>
  <version>1.0.3</version>
  <packaging>jar</packaging>
  <name>Guava InternalFutureFailureAccess and InternalFutures</name>
  <description>
    Contains
    com.google.common.util.concurrent.internal.InternalFutureFailureAccess and
    InternalFutures. Most users will never need to use this artifact. Its

                "get": {
                    "summary": "Read Main",
                    "operationId": "read_main_app_get",
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                }
            }
        },

      },
      "createdTime": {
        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },
      "updatedTime": {
        "type": "long"
      },
      "description" : {
        "type": "text",
        "analyzer": "standard_analyzer"
      }
    }

from fastapi import FastAPI, status
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()


@app.post("/items/", response_model=Item, status_code=status.HTTP_201_CREATED)
async def create_item(item: Item):

Por exemplo, o modelo acima declara um JSON "`object`" (ou `dict` no Python) como esse:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

...como `description` e `tax` são opcionais (com um valor padrão de `None`), esse JSON "`object`" também é válido:

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

    }

    private
    fun findVersionFromJavadoc(javadoc: Javadoc): String? =
        javadoc.blockTags
            .find { tag -> tag.tagName == "since" }
            ?.content?.elements?.find { description -> description is JavadocSnippet }
            ?.toText()

    private
    fun nodeName(it: Node?, unit: CompilationUnit, file: File) = when (it) {