`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

To update the lock files, make sure
`ci/official/requirements_updater/requirements.in` contains the desired direct
dependencies list and then execute the following command (which will call
[pip-compile](https://pypi.org/project/pip-tools/) under the hood):

```

        // If a defensive copy were made, this test would fail, and the behavior would be more robust.
        // Given the current implementation, direct modification of the passed array affects the AvPair.
        // If this is not desired, a defensive copy should be added in the AvPair constructor.
        assertEquals(0x05, avPair.getRaw()[0],

En ese caso, simplemente puedes intercambiar los `dataclasses` estándar con `pydantic.dataclasses`, que es un reemplazo directo:

{* ../../docs_src/dataclasses/tutorial003.py hl[1,5,8:11,14:17,23:25,28] *}

1. Todavía importamos `field` de los `dataclasses` estándar.

2. `pydantic.dataclasses` es un reemplazo directo para `dataclasses`.

3. El dataclass `Author` incluye una lista de dataclasses `Item`.

Nesse caso, você pode simplesmente trocar as `dataclasses` padrão por `pydantic.dataclasses`, que é um substituto direto:

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../docs_src/dataclasses/tutorial003.py!}
```

1. Ainda importamos `field` das `dataclasses` padrão.

2. `pydantic.dataclasses` é um substituto direto para `dataclasses`.

3. A dataclass `Author` inclui uma lista de dataclasses `Item`.

        hmac.update(Strings.getUNIBytes(user.toUpperCase()));
        hmac.update(Strings.getUNIBytes(domain.toUpperCase()));
        hmac = Crypto.getHMACT64(hmac.digest());
        hmac.update(challenge);
        hmac.update(clientChallenge);
        hmac.digest(response, 0, 16);
        System.arraycopy(clientChallenge, 0, response, 16, 8);
        return response;
    }

    /**

     * @param isDirect whether to use direct transmission
     * @throws IOException if an I/O error occurs
     */
    protected abstract void doSendFragment(byte[] buf, int off, int length, boolean isDirect) throws IOException;

    /**
     * Receives a DCERPC fragment from the remote endpoint
     * @param buf the buffer to receive the fragment
     * @param isDirect whether to use direct reception

wir die (Fake-)Modellfunktion vor dem `yield` in das Dictionary mit Modellen für maschinelles Lernen einfügen. Dieser Code wird ausgeführt, **bevor** die Anwendung **beginnt, Requests entgegenzunehmen**, während des *Hochfahrens*.

Und dann, direkt nach dem `yield`, entladen wir das Modell. Dieser Code wird unmittelbar vor dem *Herunterfahren* ausgeführt, **nachdem** die Anwendung **die Bearbeitung von Requests abgeschlossen hat**. Dadurch könnten beispielsweise Ressourcen wie Arbeitsspeicher...

Flask bir <abbr title="Mikro Framework: Micro Framework">mikro framework</abbr> olduğundan Django gibi framework'lerin aksine veritabanı entegrasyonu gibi Django ile gelen pek çok özelliği direkt barındırmaz.

Sağladığı basitlik ve esneklik NoSQL veritabanlarını ana veritabanı sistemi olarak kullanmak gibi şeyler yapmaya olanak sağlar.

    public Smb2SigningDigest getDigest() {
        return this.digest;
    }

    /**
     *
     * {@inheritDoc}
     *
     * @see jcifs.internal.CommonServerMessageBlock#setDigest(jcifs.internal.SMBSigningDigest)
     */
    @Override
    public void setDigest(final SMBSigningDigest digest) {
        this.digest = (Smb2SigningDigest) digest;
        if (this.next != null) {

        hmac.engineReset();
        // After reset, should be able to digest again
        byte[] result = hmac.engineDigest();
        assertNotNull(result);
    }

    @Test
    void testEngineGetDigestLength() {
        // Test engineGetDigestLength()
        HMACT64 hmac = new HMACT64(TEST_KEY);
        // MD5 digest length is 16 bytes
        assertEquals(16, hmac.engineGetDigestLength());
    }