{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

        "paths": {
            "/items/": {
                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Item",

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

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

    }

    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) {

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
}
```

from typing import Union

from fastapi import Body, FastAPI
from pydantic import BaseModel

app = FastAPI()


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


class User(BaseModel):
    username: str
    full_name: Union[str, None] = None


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

def test_openapi():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    openapi_schema = response.json()

    assert openapi_schema["components"]["schemas"]["MyModel"]["description"] == (
        "A model with a form feed character in the title.\n"

from typing import Union

from pydantic.v1 import BaseModel


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

    <version>4.1.0-SNAPSHOT</version>
  </parent>

  <artifactId>apache-maven</artifactId>
  <packaging>pom</packaging>

  <name>Apache Maven Distribution</name>
  <description>The Apache Maven distribution, source and binary, in zip and tar.gz formats.</description>

  <dependencies>
    <dependency>
      <groupId>org.apache.maven</groupId>
      <artifactId>maven-cli</artifactId>
    </dependency>
    <dependency>