* key {@code c}. If that row key / column key pair in not in {@code table}, the pair maps to
   * {@code null} in the generated table.
   *
   * <p>The returned table allows subsequent {@code put} calls with the row keys in {@code
   * table.rowKeySet()} and the column keys in {@code table.columnKeySet()}. Calling {@link #put}
   * with other keys leads to an {@code IllegalArgumentException}.
   *

# Depuração { #debugging }

Você pode conectar o depurador no seu editor, por exemplo, com o Visual Studio Code ou PyCharm.

## Chamar `uvicorn` { #call-uvicorn }

Em sua aplicação FastAPI, importe e execute `uvicorn` diretamente:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### Sobre `__name__ == "__main__"` { #about-name-main }

    while (lines.peek() == null) {
      Java8Compatibility.clear(cbuf);
      // The default implementation of Reader#read(CharBuffer) allocates a
      // temporary char[], so we call Reader#read(char[], int, int) instead.
      int read = (reader != null) ? reader.read(buf, 0, buf.length) : readable.read(cbuf);
      if (read == -1) {
        lineBuf.finish();
        break;
      }

      }

      socket.close()
      openClientSockets.remove(socket.javaNetSocket)
    }

    /**
     * Respond to `CONNECT` requests until a non-tunnel response is peeked. Returns true if further
     * calls should be attempted on the socket.
     */
    @Throws(IOException::class, InterruptedException::class)
    private fun processTunnelRequests(): Boolean {

    server2.useHttps(handshakeCertificates.sslSocketFactory())
  }

  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) {

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

we would get a Python `dict` with:

```Python
{

   * compatibility problems on Android VMs. The corresponding accessor method, however, can have the
   * more specific return type as long as users are careful to guard calls to it with version checks
   * or reflection: Android VMs ignore the types of elements that aren't used.
   */
  private final @Nullable Object annotatedType;

  Parameter(
      Invokable<?, ?> declaration,

    boolean run = false;

    @Override
    public void run() {
      run = true;
    }
  }

  private static class TestCallable implements Callable<String> {
    @Override
    public String call() {
      return "foo";
    }
  }

  /** Simple same thread listening executor service that doesn't handle shutdown. */
  private static class TestListeningExecutorService extends AbstractListeningExecutorService {

   * time for AbstractFutureState to potentially use them during class initialization.
   * (AbstractFutureState class initialization can log, and that logging could in theory call into
   * AbstractFuture, which wouldn't yet have had the chance to perform any class initialization of
   * its own.)
   */

  /** A special value to represent {@code null}. */

    "NullableOptional", // Null passthrough is reasonable for type conversions
  })
  // If users use this when they shouldn't, we hope that NewApi will catch subsequent Optional calls
  @IgnoreJRERequirement
  public static <T> java.util.@Nullable Optional<T> toJavaUtil(
      @Nullable Optional<T> googleOptional) {
    return googleOptional == null ? null : googleOptional.toJavaUtil();
  }