}

  private fun executeSynchronously(request: Request): RecordedResponse {
    val call = client.newCall(request)
    return try {
      val response = call.execute()
      val bodyString = response.body.string()
      RecordedResponse(request, response, null, bodyString, null)
    } catch (e: IOException) {
      RecordedResponse(request, null, null, null, e)
    }
  }

        tree.tid = 123;
        tree.inDfs = true;
        tree.inDomainDfs = false;
        tree.connectionState = 2;

        String result = tree.toString();
        // Verify the toString contains the expected information
        assertTrue(result.contains("TESTSHARE"));
        assertTrue(result.contains("testService"));
        assertTrue(result.contains("123"));

        assertTrue(result > 0);
        assertNotNull(response.getSecurityDescriptor());
    }

    @Test
    @DisplayName("Test toString returns expected format")
    void testToString() {
        String result = response.toString();

        assertNotNull(result);
        assertTrue(result.startsWith("NtTransQuerySecurityResponse["));
        assertTrue(result.endsWith("]"));
    }

Portanto, em nosso exemplo, podemos fazer com que `tags` sejam especificamente uma "lista de strings":


{* ../../docs_src/body_nested_models/tutorial002.py hl[14] *}

## Tipo "set"


Mas então, quando nós pensamos mais, percebemos que as tags não devem se repetir, elas provavelmente devem ser strings únicas.

E que o Python tem um tipo de dados especial para conjuntos de itens únicos, o `set`.

    private static final int SIGNATURE_LENGTH = 16;
    private final Mac digest;
    private final ReentrantLock signingLock = new ReentrantLock();
    private byte[] signingKey;
    private final String algorithmName;
    private final java.security.Provider provider;
    private volatile boolean closed = false;

    /**
     * Constructs a SMB2 signing digest with the specified session key and dialect
     *

			staleDisks[j] = badDisk{nil}
		}

		staleWriters := make([]io.Writer, len(staleDisks))
		for i, disk := range staleDisks {
			if disk == nil {
				continue
			}
			os.Remove(pathJoin(disk.String(), "testbucket", "testobject"))
			staleWriters[i] = newBitrotWriter(disk, "", "testbucket", "testobject", erasure.ShardFileSize(test.size), test.algorithm, erasure.ShardSize())
		}

          @Override
          public ListenableFuture<T> call() throws Exception {
            return immediateFuture(callable.call());
          }

          @Override
          public String toString() {
            return callable.toString();
          }
        },
        executor);
  }

  /**
   * Enqueues a task to run when the previous task (if any) completes.
   *

# MinIO Pull Request Guidelines

These guidelines ensure high-quality commits in MinIO’s GitHub repositories, maintaining 
a clear, valuable commit history for our open-source projects. They apply to all contributors, 
fostering efficient reviews and robust code.

## Why Pull Requests?

Pull Requests (PRs) drive quality in MinIO’s codebase by:
- Enabling peer review without pair programming.
- Documenting changes for future reference.

  static class CountingSupplier implements Supplier<Integer> {
    int calls = 0;

    @Override
    public Integer get() {
      calls++;
      return calls * 10;
    }

    @Override
    public String toString() {
      return "CountingSupplier";
    }
  }

  static class ThrowingSupplier implements Supplier<Integer> {
    @Override
    public Integer get() {
      throw new NullPointerException();
    }
  }

    return Objects.hash(xStats, yStats, sumOfProductsOfDeltas);
  }

  @Override
  public String toString() {
    if (count() > 0) {
      return MoreObjects.toStringHelper(this)
          .add("xStats", xStats)
          .add("yStats", yStats)
          .add("populationCovariance", populationCovariance())
          .toString();
    } else {
      return MoreObjects.toStringHelper(this)
          .add("xStats", xStats)