///

## Motivation { #motivation }

Let's start with a simple example:

{* ../../docs_src/python_types/tutorial001_py310.py *}

Calling this program outputs:

```
John Doe
```

The function does the following:

* Takes a `first_name` and `last_name`.
* Converts the first letter of each one to upper case with `title()`.

        auth.secureWipePassword();

        // Password should be null after wipe
        assertNull(auth.getPassword());
        assertNull(auth.getPasswordAsCharArray());

        // Calling wipe again should be safe
        auth.secureWipePassword();
        assertNull(auth.getPassword());
    }

    /**
     * Test that closed authenticator prevents all sensitive operations
     */
    @Test

    List<Object> result = doConcurrentGet(cache, "bar", count, startSignal);

    assertThat(callCount.get()).isEqualTo(1);
    for (int i = 0; i < count; i++) {
      // doConcurrentGet alternates between calling getUnchecked and calling get, but an unchecked
      // exception thrown by the loader is always wrapped as an UncheckedExecutionException.
      assertThat(result.get(i)).isInstanceOf(UncheckedExecutionException.class);

          //
          // If an exception is thrown by the subclass then we need to make sure that the service
          // notices and transitions to the FAILED state. We do it by calling notifyFailed directly
          // because the service does not monitor the state of the future so if the exception is not
          // caught and forwarded to the service the task would stop executing but the service would

    @SuppressWarnings("SynchronizeOnNonFinalField")
    public T get() {
      // Another variant of Double Checked Locking.
      //
      // We use two volatile reads. We could reduce this to one by
      // putting our fields into a holder class, but (at least on x86)
      // the extra memory consumption and indirection are more
      // expensive than the extra volatile reads.
      long nanos = expirationNanos;

A ideia é que a comunidade do **FastAPI** seja gentil e acolhedora. Ao mesmo tempo, não aceite bullying ou comportamentos desrespeitosos com outras pessoas. Temos que cuidar uns dos outros.

---

Veja como ajudar outras pessoas com perguntas (em discussions ou issues):

### Entenda a pergunta { #understand-the-question }

// that point, the program is terminated with a non-zero exit code. This
// termination sequence is called panicking and can be controlled by the
// built-in function recover.
//
// Starting in Go 1.21, calling panic with a nil interface value or an
// untyped nil causes a run-time error (a different panic).
// The GODEBUG setting panicnil=1 disables the run-time error.
func panic(v any)

 * percentiles together takes about 55% as long as computing them separately.
 *
 * <p>When calling {@link ScaleAndIndex#compute} (in {@linkplain ScaleAndIndexes#compute either
 * form}), the memory requirement is 8*N bytes for the copy of the dataset plus an overhead which is
 * independent of N (but depends on the quantiles being computed). When calling {@link
 * ScaleAndIndex#computeInPlace computeInPlace} (in {@linkplain ScaleAndIndexes#computeInPlace

    }

    @Override
    protected void tearDown(TestInfo testInfo) throws Exception {
        super.tearDown(testInfo);
    }

    /**
     * Helper method to initialize defaultSettings without calling init()
     * which requires DI container components
     */
    private Map<String, Object> createDefaultSettings() throws Exception {
        Map<String, Object> defaultSettings = new HashMap<>();

     *       <ul><li>Return it unchanged (no resolution needed)</li></ul></li>
     *   <li>Otherwise, get the output directory for this source root's {@link #scope()} by calling
     *       {@code project.getOutputDirectory(scope())}:
     *       <ul>
     *         <li>For {@link ProjectScope#MAIN}: typically {@code /path/to/project/target/classes}</li>