* classes and the classes they depend on. The classes are not relocated, they all
 * remain in their original namespace. This reduces the final Gradle distribution
 * size and makes us more conscious of which parts of a library we really need.
 *
 * WARNING: if you decide to do the minification by hand, make sure that you cover all paths of loading classes:
 * reflection, dynamic loading, etc. and understand how the library works internally.

					ChecksumSHA1:      objInfo.Parts[i].Checksums["SHA1"],
					ChecksumSHA256:    objInfo.Parts[i].Checksums["SHA256"],
					ChecksumCRC32:     objInfo.Parts[i].Checksums["CRC32"],
					ChecksumCRC32C:    objInfo.Parts[i].Checksums["CRC32C"],
					ChecksumCRC64NVME: objInfo.Parts[i].Checksums["CRC64NVME"],
					PartNumber:        objInfo.Parts[i].Number,
					Size:              objInfo.Parts[i].Size,
				})
			}
		}

        short data2 = bb.getShort(); // next 2 bytes (little-endian)
        short data3 = bb.getShort(); // next 2 bytes (little-endian)

        // The last 8 bytes are read as big-endian (network byte order for the high/low parts)
        ByteBuffer bb2 = ByteBuffer.wrap(bytes, 8, 8).order(java.nio.ByteOrder.BIG_ENDIAN);
        long data4 = bb2.getLong();

        // Construct UUID from components - Java UUID expects big-endian representation

     * @param root the root of the graph.
     */
    public ObjectBasedValueSource(Object root) {
        super(true);
        this.root = root;
    }

    /**
     * <p>Split the expression into parts, tokenized on the dot ('.') character. Then,
     * starting at the root object contained in this value source, apply each part
     * to the object graph below this root, using either 'getXXX()' or 'isXXX()'

///

## Returning a custom `Response` { #returning-a-custom-response }

The example above shows all the parts you need, but it's not very useful yet, as you could have just returned the `item` directly, and **FastAPI** would put it in a `JSONResponse` for you, converting it to a `dict`, etc. All that by default.

## HTTPX { #httpx }

Mesmo que a sua aplicação **FastAPI** utilize funções normais com `def` no lugar de `async def`, ela ainda é uma aplicação `async` por baixo dos panos.

E claro, ele suporta o mesmo:

* validação de dados
* serialização de dados
* documentação de dados, etc.

Isso funciona da mesma forma que com os modelos Pydantic. E na verdade é alcançado da mesma maneira por baixo dos panos, usando Pydantic.

/// info | Informação

Lembre-se de que dataclasses não podem fazer tudo o que os modelos Pydantic podem fazer.

Então, você ainda pode precisar usar modelos Pydantic.

linked subprograms that the work is specifically designed to require,
such as by intimate data communication or control flow between those
subprograms and other parts of the work.

  The Corresponding Source need not include anything that users
can regenerate automatically from other parts of the Corresponding
Source.

  The Corresponding Source for a work in source code form is that
same work.

  2. Basic Permissions.

Ela é apenas uma extensão do OAuth2 especificando algumas coisas que são relativamente ambíguas no OAuth2, para tentar torná-lo mais interoperável.

Por exemplo, o login do Google usa OpenID Connect (que por baixo dos panos usa OAuth2).

Mas o login do Facebook não tem suporte para OpenID Connect. Ele tem a própria implementação do OAuth2.

### OpenID (não "OpenID Connect") { #openid-not-openid-connect }

    }

    /**
     * Masks sensitive values in a string for security purposes.
     *
     * @param value the string potentially containing sensitive information
     * @return the string with sensitive parts masked, or the original string if masking is disabled
     */
    public static String maskSecretValue(final String value) {
        if (MASK_SECRET_VALUE && value != null) {