// if multiple test tasks run in parallel. We also pass it to the Gradle build as a maximum (maxParallelForks)
        // for each test task, such that we are independent of whatever default value is defined in the build itself.
        "-Dorg.gradle.workers.max=$maxParallelForks",
        "-PmaxParallelForks=$maxParallelForks",
        PLUGINS_PORTAL_URL_OVERRIDE,

        assertFalse(rateLimiter.checkAttempt("user6", ip), "Should block after IP rate limit");
    }

    @Test
    public void testDifferentIpsIndependent() throws Exception {
        // Different IPs should have independent limits
        for (int i = 1; i <= 3; i++) {
            assertTrue(rateLimiter.checkAttempt("user1", "192.168.1." + i));
            rateLimiter.recordFailure("user1", "192.168.1." + i);
        }

  }

  /**
   * Builds a thread-safe map. This method does not alter the state of this {@code MapMaker}
   * instance, so it can be invoked again to create multiple independent maps.
   *
   * <p>The bulk operations {@code putAll}, {@code equals}, and {@code clear} are not guaranteed to
   * be performed atomically on the returned map. Additionally, {@code size} and {@code

            assertEquals(8388608, response.getTotalBytesWritten()); // 8MB total
        }

        @Test
        @DisplayName("Should create multiple independent instances")
        void testMultipleInstances() throws SMBProtocolDecodingException {
            SrvCopyChunkCopyResponse response1 = new SrvCopyChunkCopyResponse();

        transformer2.setName("transformer2");

        assertEquals("transformer1", transformer1.getName());
        assertEquals("transformer2", transformer2.getName());

        // Both should have independent name storage
        transformer1.setName("changed1");
        assertEquals("changed1", transformer1.getName());
        assertEquals("transformer2", transformer2.getName());
    }

    /**

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

/// info

Na v1 do Pydantic ele estava incluído no pacote principal. Agora ele está distribuido como um pacote independente para que você possa optar por instalar ou não caso você não precise dessa funcionalidade.

///

### Criando o objeto `Settings`

/// tip

Additionally, a background task is normally an independent set of logic that should be handled separately, with its own resources (e.g. its own database connection).

So, this way you will probably have cleaner code.

///

<div class="termy">

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

/// info

In Pydantic v1 it came included with the main package. Now it is distributed as this independent package so that you can choose to install it or not if you don't need that functionality.

///

### Create the `Settings` object { #create-the-settings-object }

 * independent of N (but depends on the quantiles being computed). When calling {@link
 * ScaleAndIndex#computeInPlace computeInPlace} (in {@linkplain ScaleAndIndexes#computeInPlace
 * either form}), only the overhead is required. The number of object allocations is independent of
 * N in both cases.
 *
 * @author Pete Gillin
 * @since 20.0
 */

/// tip | Dica

Adicionalmente, uma tarefa de background é, normalmente, um conjunto de lógicas independentes que devem ser manipuladas separadamente, com seus próprios recursos (e.g. sua própria conexão com banco de dados).

Então, dessa forma você provavelmente terá um código mais limpo.

///