---
jjbb-template: periodic-trigger-lgc.yml
vars:
  - periodic-job: elastic+elasticsearch+%BRANCH%+periodic+bwc
  - lgc-job: elastic+elasticsearch+%BRANCH%+intake

///

## Corpos de listas puras { #bodies-of-pure-lists }

Se o valor de primeiro nível do corpo JSON que você espera for um `array` do JSON (uma` lista` do Python), você pode declarar o tipo no parâmetro da função, da mesma forma que nos modelos do Pydantic:

```Python
images: list[Image]
```

como em:

                return false;
            }

            String mimeTypeStr = mimeType.toString();
            // Support PDF and common image formats
            return "application/pdf".equals(mimeTypeStr) || "image/jpeg".equals(mimeTypeStr) || "image/png".equals(mimeTypeStr);
        }

        @Override
        public boolean isAvailable() {
            return available;
        }

   * are inclusive). For example, to match any lowercase letter of the English alphabet, use {@code
   * CharMatcher.inRange('a', 'z')}.
   *
   * @throws IllegalArgumentException if {@code endInclusive < startInclusive}
   */
  public static CharMatcher inRange(char startInclusive, char endInclusive) {
    return new InRange(startInclusive, endInclusive);
  }

  /**

pkg image/color, type CMYK struct, K uint8
pkg image/color, type CMYK struct, M uint8
pkg image/color, type CMYK struct, Y uint8
pkg image/color, var CMYKModel Model
pkg image/gif, const DisposalBackground = 2
pkg image/gif, const DisposalBackground ideal-int
pkg image/gif, const DisposalNone = 1
pkg image/gif, const DisposalNone ideal-int
pkg image/gif, const DisposalPrevious = 3
pkg image/gif, const DisposalPrevious ideal-int

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


@app.post("/images/multiple/")
async def create_multiple_images(images: list[Image]):

                    LOGGER.warn("Attempt {}/{} to pull Docker base image {} failed", attempt, maxAttempts, baseImage);
                }
            }

            // If we successfully ran `docker pull` above, we would have returned before this point.
            throw new GradleException("Failed to pull Docker base image [" + baseImage + "], all attempts failed");
        }

        @Override

      tags:
        - key: name
          value: pick* # match objects with tag 'name', all values starting with 'pick'
      metadata:
        - key: content-type
          value: image/* # match objects with 'content-type', all values starting with 'image/'
      size:
        lessThan: "10MiB" # match objects with size less than this value (e.g. 10MiB)
        greaterThan: 1MiB # match objects with size greater than this value (e.g. 1MiB)

/// info

Notice how the `images` key now has a list of image objects.

///

## Deeply nested models { #deeply-nested-models }

You can define arbitrarily deeply nested models:

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info

Notice how `Offer` has a list of `Item`s, which in turn have an optional list of `Image`s

///

      matrix:
        dbversion: ['mysql:9', 'mysql:8', 'mysql:5.7']
        go: ['stable', 'oldstable']
        platform: [ubuntu-latest]
    runs-on: ${{ matrix.platform }}

    services:
      mysql:
        image: ${{ matrix.dbversion }}
        env:
          MYSQL_DATABASE: gorm
          MYSQL_USER: gorm
          MYSQL_PASSWORD: gorm
          MYSQL_RANDOM_ROOT_PASSWORD: "yes"
        ports:
          - 9910:3306