*       <i>deeply</i> immutable.
 * </ul>
 *
 * <h4>Performance notes</h4>
 *
 * <ul>
 *   <li>Implementations can be generally assumed to prioritize memory efficiency, then speed of
 *       access, and lastly speed of creation.
 *   <li>The {@code copyOf} methods will sometimes recognize that the actual copy operation is

        // We can't directly test if password is wiped since auth is out of scope,
        // but the close() method should have been called
    }

    /**
     * Test secure memory clearing in close()
     */
    @Test
    @DisplayName("Test secure memory clearing on close")
    public void testCloseSecurelyClearsMemory() {
        char[] testPassword = "CloseTestPass123!".toCharArray();

### Entiende la pregunta

* Revisa si puedes entender cuál es el **propósito** y el caso de uso de la persona que pregunta.

* Luego revisa si la pregunta (la gran mayoría son preguntas) es **clara**.

        connection.connect();
        return connection;
    }

    @Override
    public RdmaMemoryRegion registerMemory(ByteBuffer buffer, EnumSet<RdmaAccess> access) throws IOException {
        // TCP doesn't need real memory registration
        return new TcpMemoryRegion(buffer, access);
    }

    @Override
    public String getProviderName() {
        return "TCP Fallback";
    }

    @Override

Você também poderia usar `from starlette.templating import Jinja2Templates`.

**FastAPI** fornece o mesmo `starlette.templating` como `fastapi.templating` apenas como uma conveniência para você, o desenvolvedor. Mas a maioria das respostas disponíveis vêm diretamente do Starlette. O mesmo acontece com `Request` e `StaticFiles`.

///

## Escrevendo Templates

Então você pode escrever um template em `templates/item.html`, por exemplo:

//
// Returns a TF_Buffer. The memory pointed to by the result is owned by
// lib_handle. The data in the buffer will be the serialized OpList proto for
// ops defined in the library.
TF_CAPI_EXPORT extern TF_Buffer TF_GetOpList(TF_Library* lib_handle);

// Frees the memory associated with the library handle.
// Does NOT unload the library.

Let's check back those deployment concepts from before:

* Security - HTTPS
* Running on startup
* Restarts
* **Replication (the number of processes running)**
* Memory
* Previous steps before starting

Up to this point, with all the tutorials in the docs, you have probably been running a **server program**, for example, using the `fastapi` command, that runs Uvicorn, running a **single process**.

    int NT_STATUS_NOT_IMPLEMENTED = 0xC0000002;
    /** The specified information class is invalid */
    int NT_STATUS_INVALID_INFO_CLASS = 0xC0000003;
    /** Invalid access to memory location */
    int NT_STATUS_ACCESS_VIOLATION = 0xC0000005;
    /** The handle is invalid */
    int NT_STATUS_INVALID_HANDLE = 0xC0000008;
    /** The parameter is incorrect */

        EnumSet<RdmaAccess> access = EnumSet.of(RdmaAccess.LOCAL_READ, RdmaAccess.LOCAL_WRITE);

        RdmaMemoryRegion region = provider.registerMemory(buffer, access);
        assertNotNull(region, "Memory region should not be null");
        assertEquals(buffer, region.getBuffer(), "Buffer should match");
        assertEquals(1024, region.getSize(), "Size should match buffer size");

    false

-   type: input id: Cuda attributes: label: CUDA/cuDNN version description:
    placeholder: validations: required: false

-   type: input id: Gpu attributes: label: GPU model and memory description: if
    compiling from source placeholder: validations: required: false

-   type: textarea id: what-happened attributes: label: Current Behaviour?