{strings.Repeat("Ꙁ", 64) + "Ꚁ", '䚀', -1},  // 'Ꚁ' and '䚀' share the same last two bytes

		// 4 bytes
		{"𡌀", '𡌀', 0},
		{"a", '𡌀', -1},
		{"  𡌀", '𡌀', 2},
		{"  a", '𡌀', -1},
		{strings.Repeat("𡋀", 64) + "𡌀", '𡌀', 256}, // test cutover
		{strings.Repeat("𡋀", 64) + "𡌀", '𣌀', -1},  // '𡌀' and '𣌀' share the same last two bytes

		// RuneError should match any invalid UTF-8 byte sequence.
		{"�", '�', 0},

     * Converts a byte array to a hexadecimal string representation.
     *
     * @param src the source byte array to convert
     * @param srcIndex the starting index in the source array
     * @param size the number of bytes to convert from the source array
     * @return a hexadecimal string representation of the byte array
     */
    public static String toHexString(final byte[] src, final int srcIndex, final int size) {

# Esquemas OpenAPI Separados para Entrada e Saída ou Não

Ao usar **Pydantic v2**, o OpenAPI gerado é um pouco mais exato e **correto** do que antes. 😎

Inclusive, em alguns casos, ele terá até **dois JSON Schemas** no OpenAPI para o mesmo modelo Pydantic, para entrada e saída, dependendo se eles possuem **valores padrão**.

Vamos ver como isso funciona e como alterar se for necessário.

## Modelos Pydantic para Entrada e Saída

        "tax": 3.2
    },
    "user": {
        "username": "dave",
        "full_name": "Dave Grohl"
    }
}
```

/// note | Nota

Ten en cuenta que aunque el `item` se declaró de la misma manera que antes, ahora se espera que esté dentro del cuerpo con una clave `item`.

///

**FastAPI** hará la conversión automática del request, de modo que el parámetro `item` reciba su contenido específico y lo mismo para `user`.

        .isEqualTo(0xFFEEDDCC);
  }

  public void testFromByteArrayFails() {
    assertThrows(
        IllegalArgumentException.class, () -> Ints.fromByteArray(new byte[Ints.BYTES - 1]));
  }

  public void testFromBytes() {
    assertThat(Ints.fromBytes((byte) 0x12, (byte) 0x13, (byte) 0x14, (byte) 0x15))
        .isEqualTo(0x12131415);

    tensorflow::AttrValue attr;
    for (const string& v : list) {
      attr.mutable_list()->add_s(v);
    }
    string bytes;
    attr.SerializeToString(&bytes);
    TF_SetAttrValueProto(desc, tensorflow::kColocationAttrName, bytes.data(),
                         bytes.size(), s_);
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  }

  void VerifyCollocation(TF_Operation* op,

     * CRC(A000A000A000...), CRC(0B000B000B...), CRC(00C000C000C...), CRC(000D000D000D...)
     * and then to XOR them together.  The strideTable enables us to hash an int followed by 12
     * zero bytes (3 ints), while the byteTable is for advancing one byte at a time.
     * This algorithm is due to the paper "Everything we know about CRC but [are] afraid to forget"
     * by Kadatch and Jenkins, 2010.
     */

        // Verify
        assertEquals(expectedFilename, fileBothDirectoryInfo.getFilename());
    }

    @Test
    @DisplayName("Test decode returns correct bytes consumed")
    void testDecodeBytesConsumed() throws SMBProtocolDecodingException {
        // Prepare test data
        String filename = "testfile.txt";

     *
     * @param buffer the byte buffer containing the security descriptor data
     * @param bufferIndex the starting offset in the buffer
     * @param len the length of data to decode
     * @return the number of bytes decoded
     * @throws SMBProtocolDecodingException if the data cannot be properly decoded
     */
    @Override
    public int decode(final byte[] buffer, int bufferIndex, final int len) throws SMBProtocolDecodingException {

 * limitations under the License.
 */
package okhttp3.tls.internal.der

import okio.Buffer
import okio.ByteString

/**
 * Encode and decode a model object like a [Long] or [Certificate] as DER bytes.
 */
internal interface DerAdapter<T> {
  /** Returns true if this adapter can read [header] in a choice. */
  fun matches(header: DerHeader): Boolean

  /**
   * Returns a value from this adapter.
   *