service.shutdown();
    }
  }

  public void testRejectedExecutionThrownWithMultipleCalls() throws Exception {
    CountDownLatch latch = new CountDownLatch(1);
    SettableFuture<?> future = SettableFuture.create();
    Executor delegate =
        new Executor() {
          @Override
          public void execute(Runnable task) {
            if (future.set(null)) {
              awaitUninterruptibly(latch);

    private boolean useMultiChannelExplicitlySet = false;
    private boolean channelBindingPolicyExplicitlySet = false;

    /**
     * Create a configuration backed by properties
     *
     * @param props properties object containing JCIFS configuration settings
     * @throws CIFSException if configuration initialization fails
     */

        verify(request, times(1)).getOverrideTimeout();
    }

    @Test
    @DisplayName("Test Request with concrete implementation")
    void testConcreteImplementation() {
        // Create a concrete implementation for testing
        TestRequest testRequest = new TestRequest();

        // Test initResponse
        CommonServerMessageBlockResponse testResponse = testRequest.initResponse(context);

## Importe o `BaseModel` do Pydantic { #import-pydantics-basemodel }

Primeiro, você precisa importar `BaseModel` do `pydantic`:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Crie seu modelo de dados { #create-your-data-model }

Então você declara seu modelo de dados como uma classe que herda `BaseModel`.

Utilize os tipos Python padrão para todos os atributos:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

{* ../../docs_src/dependencies/tutorial011_an_py310.py hl[9] *}

Bu durumda **FastAPI**, `__init__` ile asla uğraşmaz veya onu önemsemez; onu doğrudan kendi kodumuzda kullanırız.

## Bir instance oluşturma { #create-an-instance }

Bu class'tan bir instance'ı şöyle oluşturabiliriz:

{* ../../docs_src/dependencies/tutorial011_an_py310.py hl[18] *}

### Создание класса `Enum` { #create-an-enum-class }

Импортируйте `Enum` и создайте подкласс, который наследуется от `str` и `Enum`.

Мы наследуемся от `str`, чтобы документация API могла понять, что значения должны быть типа `string` и отображалась правильно.

{* ../../docs_src/dependencies/tutorial011_an_py310.py hl[9] *}

В этом случае **FastAPI** вовсе не трогает `__init__` и не зависит от него — мы используем его напрямую в нашем коде.

## Создаём экземпляр { #create-an-instance }

Мы можем создать экземпляр этого класса так:

{* ../../docs_src/dependencies/tutorial011_an_py310.py hl[18] *}

			int64(len(testCase.body)), bytes.NewReader(testCase.body), testCase.accessKey, testCase.secretKey, nil)
		if err != nil {
			t.Fatalf("Test %d: %s: Failed to create HTTP request for GetBucketLocationHandler: <ERROR> %v", i+1, instanceType, err)
		}
		// Since `apiRouter` satisfies `http.Handler` it has a ServeHTTP to execute the logic of the handler.

	}
}

// Empty returns true if there are no target stats
func (brs *BucketReplicationStats) Empty() bool {
	return len(brs.Stats) == 0 && brs.ReplicaSize == 0
}

// Clone creates a new BucketReplicationStats copy
func (brs BucketReplicationStats) Clone() (c BucketReplicationStats) {
	// This is called only by replicationStats cache and already holds a
	// read lock before calling Clone()

        assertNotNull(result);
        assertTrue(result instanceof BoolQueryBuilder);

        String queryString = result.toString();
        // Full-width space should be treated same as regular space
        assertTrue("Should query reading_0", queryString.contains("reading_0"));
        assertTrue("Should query reading_1", queryString.contains("reading_1"));
    }

    @Test