@CompatibleWith("C") @Nullable Object columnKey);

  // Views

  /**
   * Returns a view of all mappings that have the given row key. For each row key / column key /
   * value mapping in the table with that row key, the returned map associates the column key with
   * the value. If no mappings in the table have the provided row key, an empty map is returned.
   *

///

## Retorne o token

A resposta do endpoint `token` deve ser um objeto JSON.

Deve ter um `token_type`. No nosso caso, como estamos usando tokens "Bearer", o tipo de token deve ser "`bearer`".

E deve ter um `access_token`, com uma string contendo nosso token de acesso.

		<Property name="backup.date.suffix" value="_%d{yyyyMMdd}" />
		<Property name="backup.max.history" value="10" />
		<Property name="stats.log.pattern" value="%msg%n" />
	</Properties>

	<Appenders>
		<RollingFile name="AppRollingFile" fileName="${log.file.basedir}/${domain.name}.log"
			filePattern="${log.file.basedir}/${domain.name}${backup.date.suffix}-%i.log.gz">

                + ",creationTime=" + new Date(info.creationTime) + ",lastAccessTime=" + new Date(info.lastAccessTime) + ",lastWriteTime="
                + new Date(info.lastWriteTime) + ",changeTime=" + new Date(info.changeTime) + ",endOfFile=" + info.endOfFile

      },
      "url": {
        "type": "keyword"
      },
      "order": {
        "type": "integer"
      },
      "requestedAt": {
        "type": "date",
        "format": "date_optional_time"
      },
      "queryRequestedAt": {
        "type": "date",
        "format": "date_optional_time"
      }
    }

If you have ktlint errors, you can automatically fix them by running `mvn com.github.gantsign.maven:ktlint-maven-plugin:1.1.1:format`.

## How the configuration works

We use Kotlin portable DSL to store TeamCity configuration, which means you can easily create a new pipeline
based on a specific branch. Currently, we have two pipelines: `master` and `release`, but you can easily create

            caughtSpecific = true;
        } catch (RuntimeException e) {
            caughtRuntime = true;
        }

        assertTrue("Should have caught DictionaryExpiredException", caughtSpecific);
        assertFalse("Should not have caught as RuntimeException", caughtRuntime);
    }

    public void test_rethrow() {
        // Test rethrowing the exception

      },
      "content_length": {
        "type": "long"
      },
      "created": {
        "type": "date",
        "format": "date_optional_time"
      },
      "timestamp": {
        "type": "date",
        "format": "date_optional_time"
      },
      "expires": {
        "type": "date",
        "format": "date_optional_time"
      },
      "digest": {
        "type": "text",

No Pydantic v1, o método era chamado `.dict()`, ele foi descontinuado (mas ainda suportado) no Pydantic v2 e renomeado para `.model_dump()`.

Os exemplos aqui usam `.dict()` para compatibilidade com Pydantic v1, mas você deve usar `.model_dump()` em vez disso se puder usar Pydantic v2.

///

/// info | Informação

{
    "properties": {
      "createdAt": {
        "type": "date",
        "format": "date_optional_time"
      },
      "updatedAt": {
        "type": "date",
        "format": "date_optional_time"
      }
    }