{
  "name": "Hacking Gopher",
  "version": "1.0",
  "manifest_version": 2,
  "description": "Go Hacking utility",
  "background": {
    "page": "background.html"
  },
  "browser_action": {
    "default_icon": "gopher.png",
    "default_popup": "popup.html"
  },
  "omnibox": { "keyword": "golang" },
  "icons": {
    "16": "gopher.png"
  },
  "permissions": [
     "tabs"
  ]

You could send a request like:

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip

`aGVsbG8=` is the base64 encoding of `hello`.

///

And then Pydantic will decode the base64 string and give you the original bytes in the `data` field of the model.

You will receive a response like:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

      # on that branch for a workflow.yml file, and we'd have to cherry-pick
      # this file into those branches.
      release_branch:
        description: 'Release branch name (e.g. r2.9)'
        required: true
        type: string
      git_commit:
        description: 'Git commit to cherry-pick'
        required: true
        type: string

permissions:
  contents: read

jobs:
  cherrypick:

                ),
                PerformanceTestCoverage(1, PerformanceTestType.PER_COMMIT, Os.LINUX),
                "Description",
                "performance",
                listOf("largeTestProject", "smallTestProject"),
                2,
                extraParameters = "extraParameters",
            )

        assertEquals(

  private Enums() {}

  /**
   * Returns the {@link Field} in which {@code enumValue} is defined. For example, to get the {@code
   * Description} annotation on the {@code GOLF} constant of enum {@code Sport}, use {@code
   * Enums.getField(Sport.GOLF).getAnnotation(Description.class)}.
   *
   * @since 12.0
   */
  public static Field getField(Enum<?> enumValue) {
    Class<?>
        clazz = enumValue.getDeclaringClass();

         "Principal":"*",
         "Action":"s3:PutObject",
         "Resource":"arn:aws:s3:::multi-key-poc/*",
         "Condition":{
            "StringNotEquals":{
               "s3:x-amz-server-side-encryption-aws-kms-key-id":"minio-default-key"
            }
         }
      }
   ]

                && options.model().isEmpty()) {
            return true;
        }

        return false;
    }

    /**
     * Gets a description of what this strategy does.
     *
     * @return a human-readable description of the strategy
     */
    String getDescription();

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
}
```

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

  <artifactId>maven-builder-support</artifactId>

  <name>Maven Builder Support (deprecated)</name>
  <description>Support for descriptor builders (model, setting, toolchains)</description>

  <dependencies>
    <dependency>
      <groupId>org.apache.maven</groupId>
      <artifactId>maven-api-core</artifactId>
      <scope>provided</scope>
    </dependency>

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```