<Name>suffix</Name>
	                     <Value>.jpg</Value>
	                 </FilterRule>
	             </S3Key>
	      </Filter>
	      <Cloudcode>arn:aws:lambda:us-west-2:444455556666:cloud-function-A</Cloudcode>
	      <Event>s3:ObjectCreated:Put</Event>
	   </CloudFunctionConfiguration>
	   <TopicConfiguration>
	      <Topic>arn:aws:sns:us-west-2:444455556666:sns-notification-one</Topic>

///

## Bodies of pure lists { #bodies-of-pure-lists }

If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:

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

as in:

{* ../../docs_src/body_nested_models/tutorial008_py39.py hl[13] *}

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.function.Supplier;
import java.util.regex.Pattern;

import org.apache.http.auth.UsernamePasswordCredentials;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;

        if (!(t instanceof RejectedExecutionException) || removed) {
          throw t;
        }
      }
      return;
    }

    /*
     * This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when

import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.CopyOnWriteArrayList;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.LongAdder;
import java.util.function.Predicate;
import java.util.stream.Stream;

import org.apache.maven.api.Constants;
import org.apache.maven.api.ProtoSession;
import org.apache.maven.api.annotations.Experimental;

        if (!(t instanceof RejectedExecutionException) || removed) {
          throw t;
        }
      }
      return;
    }

    /*
     * This is an unsynchronized read! After the read, the function returns immediately or acquires
     * the lock to check again. Since an IDLE state was observed inside the preceding synchronized
     * block, and reference field assignment is atomic, this may save reacquiring the lock when

/// tip | Dica

O `shutdown` aconteceria quando você estivesse **encerrando** a aplicação.

Talvez você precise iniciar uma nova versão, ou apenas cansou de executá-la. 🤷

///

### Função lifespan { #lifespan-function }

A primeira coisa a notar é que estamos definindo uma função assíncrona com `yield`. Isso é muito semelhante a Dependências com `yield`.

{* ../../docs_src/events/tutorial003_py39.py hl[14:19] *}

		}
		if !testCase.shouldPass && err == nil {
			t.Errorf("Test %d: expected to fail but passed.", i+1)
		}
	}
}

// Testing dumping request function.
func TestDumpRequest(t *testing.T) {

		if err != nil {
			return err
		}
	}
	return nil
}

// Eval - evaluates the Select statement for the given record. It
// applies only to non-aggregation queries.
// The function returns whether the statement passed the WHERE clause and should be outputted.
func (e *SelectStatement) Eval(input, output Record) (Record, error) {
	ok, err := e.isPassingWhereClause(input)
	if err != nil || !ok {

		h.failedMessages.Add(1)
		return errors.New("log buffer full")
	}

	return nil
}

// Cancel - cancels the target.
// All queued messages are flushed and the function returns afterwards.
// All messages sent to the target after this function has been called will be dropped.
func (h *Target) Cancel() {
	h.status.Store(statusClosed)
	h.storeCtxCancel()

	// Wait for messages to be sent...
	h.wg.Wait()