## Parametrizar la instance

Y ahora, podemos usar `__init__` para declarar los parámetros de la instance que podemos usar para "parametrizar" la dependencia:

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[9] *}

 */

package jcifs.ntlmssp;

/**
 * Flags used during negotiation of NTLMSSP authentication.
 */
public interface NtlmFlags {

    /**
     * Indicates whether Unicode strings are supported or used.
     */
    int NTLMSSP_NEGOTIATE_UNICODE = 0x00000001;

    /**
     * Indicates whether OEM strings are supported or used.
     */
    int NTLMSSP_NEGOTIATE_OEM = 0x00000002;

    /**

 * Certification Authority - G2". That certificate is used to verify the signature of the
 * intermediate certificate, "Entrust Certification Authority - L1M". The intermediate certificate
 * is used to verify the signature of the "www.squareup.com" certificate.
 *
 * This roles are reversed for client authentication. In that case the client has a private key and
 * a chain of certificates. The server uses a set of trusted root certificates to authenticate the

         * Default constructor.
         */
        public FsObj() {
            // Default constructor
        }

        /** The percentage of used space on the filesystem. */
        public short percent;
        /** Used space in bytes */
        public long used;
        /** Filesystem path */
        public String path;
        /** Free space in bytes */
        public long free;

Pero no puedes convertir del galimatías de nuevo a la contraseña.

### Por qué usar hashing de contraseñas

Si tu base de datos es robada, el ladrón no tendrá las contraseñas en texto claro de tus usuarios, solo los hashes.

Por lo tanto, el ladrón no podrá intentar usar esa contraseña en otro sistema (como muchos usuarios usan la misma contraseña en todas partes, esto sería peligroso).

import java.net.Socket

/**
 * The sockets and streams of an HTTP, HTTPS, or HTTPS+HTTP/2 connection. May be used for multiple
 * HTTP request/response exchanges. Connections may be direct to the origin server or via a proxy.
 *
 * Typically instances of this class are created, connected and exercised automatically by the HTTP
 * client. Applications may use this class to monitor HTTP connections as members of a
 * [connection pool][ConnectionPool].
 *

# Templates

Você pode usar qualquer template engine com o **FastAPI**.

Uma escolha comum é o Jinja2, o mesmo usado pelo Flask e outras ferramentas.

Existem utilitários para configurá-lo facilmente que você pode usar diretamente em sua aplicação **FastAPI** (fornecidos pelo Starlette).

## Instalação de dependências

Para instalar o `jinja2`, siga o código abaixo:

<div class="termy">

```console
$ pip install jinja2
```

        byte[] buffer = new byte[50];
        int used = cmd.writeBytesWireFormat(buffer, 0);
        // Calculate expected size: 1 byte for command + string bytes + 1 null terminator
        byte[] expectedString = "testfile.txt".getBytes("windows-1252");
        assertEquals(1 + expectedString.length + 1, used, "Expected exactly one command byte plus OEM string and NUL terminator");

Para usar isso, declare uma lista de `bytes` ou `UploadFile`:

{* ../../docs_src/request_files/tutorial002_an_py39.py hl[10,15] *}

Você receberá, tal como declarado, uma `list` de `bytes` ou `UploadFile`.

/// note | Detalhes Técnicos

Você pode também pode usar `from starlette.responses import HTMLResponse`.

const (
	memTotal     = "total"
	memUsed      = "used"
	memFree      = "free"
	memBuffers   = "buffers"
	memCache     = "cache"
	memUsedPerc  = "used_perc"
	memShared    = "shared"
	memAvailable = "available"
)

var (
	memTotalMD     = NewGaugeMD(memTotal, "Total memory on the node")
	memUsedMD      = NewGaugeMD(memUsed, "Used memory on the node")
	memUsedPercMD  = NewGaugeMD(memUsedPerc, "Used memory percentage on the node")