E, por outro lado, `dependency_b` precisa que o valor de `dependency_a` (nomeado de `dep_a`) esteja disponível para executar seu código de saída.

{* ../../docs_src/dependencies/tutorial008_an_py39.py hl[18:19,26:27] *}

Da mesma forma, você pode ter algumas dependências com `yield` e outras com `return` e ter uma relação de dependência entre algumas das duas.

And, in turn, `dependency_b` needs the value from `dependency_a` (here named `dep_a`) to be available for its exit code.

{* ../../docs_src/dependencies/tutorial008_an_py39.py hl[18:19,26:27] *}

The same way, you could have some dependencies with `yield` and some other dependencies with `return`, and have some of those depend on some of the others.

 * so are not useful as collection keys.
 *
 * <p>jsr166e note: This class is targeted to be placed in java.util.concurrent.atomic.
 *
 * @since 1.8
 * @author Doug Lea
 */
final class LongAdder extends Striped64 implements Serializable, LongAddable {
  @GwtIncompatible @J2ktIncompatible   private static final long serialVersionUID = 7249069246863182397L;

          }
          return c;
        }
        return super.loadClass(name);
      }
    };
  }

  private static boolean isJava8() {
    return JAVA_SPECIFICATION_VERSION.value().equals("1.8");
  }

	return
}

// MarshalMsg implements msgp.Marshaler
func (z *DeletedObjectInfo) MarshalMsg(b []byte) (o []byte, err error) {
	o = msgp.Require(b, z.Msgsize())

				{Name: "newPrefix1"},
				{Name: "newzen/zen/recurse/again/again/again/pics"},
				{Name: "obj0"},
			},
		},
		// ListObjectsResult-18.
		// Marker = "newPrefix1" & maxkeys = 1 in the testCase, (testCase43).
		// Output truncated to 1 value.
		18: {
			IsTruncated: true,
			Objects: []ObjectInfo{
				{Name: "newzen/zen/recurse/again/again/again/pics"},
			},
		},
		// ListObjectsResult-19.

Escreva instruções `assert` simples com as expressões Python padrão que você precisa verificar (novamente, `pytest` padrão).

{* ../../docs_src/app_testing/tutorial001_py39.py hl[2,12,15:18] *}

/// tip | Dica

Observe que as funções de teste são `def` normais, não `async def`.

E as chamadas para o cliente também são chamadas normais, não usando `await`.

```
Certificate:
    Data:
        Version: 3 (0x2)
        Serial Number:
            35:ac:60:46:ad:8d:de:18:dc:0b:f6:98:14:ee:89:e8
        Signature Algorithm: ED25519
        Issuer: CN = consoleAdmin
        Validity
            Not Before: Jul 19 15:08:44 2021 GMT
            Not After : Aug 18 15:08:44 2021 GMT

The same way, you can declare responses of lists of objects.

For that, use the standard Python `typing.List` (or just `list` in Python 3.9 and above):

{* ../../docs_src/extra_models/tutorial004_py39.py hl[18] *}

## Response with arbitrary `dict` { #response-with-arbitrary-dict }

You can also declare a response using a plain arbitrary `dict`, declaring just the type of the keys and values, without using a Pydantic model.

	{dataBlocks: 6, disks: 8, offDisks: 1, badDisks: 0, badStaleDisks: 0, blocksize: int64(blockSizeV2), size: oneMiByte, algorithm: BLAKE2b512, shouldFail: false},               // 18
	{dataBlocks: 2, disks: 4, offDisks: 1, badDisks: 0, badStaleDisks: 0, blocksize: int64(blockSizeV2), size: oneMiByte * 64, algorithm: SHA256, shouldFail: false},              // 19
}

func TestErasureHeal(t *testing.T) {