c.uint16 = c.Ident("uint16")
	c.uint32 = c.Ident("uint32")
	c.uint64 = c.Ident("uint64")
	c.uintptr = c.Ident("uintptr")
	c.float32 = c.Ident("float32")
	c.float64 = c.Ident("float64")
	c.complex64 = c.Ident("complex64")
	c.complex128 = c.Ident("complex128")
	c.void = c.Ident("void")
	c.string = c.Ident("string")
	c.goVoid = c.Ident("_Ctype_void")

	// Normally cgo translates void* to unsafe.Pointer,

real(complexT) floatT
imag(complexT) floatT
</pre>

<p>
The type of the arguments and return value correspond.
For <code>complex</code>, the two arguments must be of the same
floating-point type and the return type is the complex type
with the corresponding floating-point constituents:
<code>complex64</code> for <code>float32</code> arguments, and

real(complexT) floatT
imag(complexT) floatT
</pre>

<p>
The type of the arguments and return value correspond.
For <code>complex</code>, the two arguments must be of the same
<a href="#Numeric_types">floating-point type</a> and the return type is the
<a href="#Numeric_types">complex type</a>
with the corresponding floating-point constituents:

        are now hidden. These modules are not part of TensorFlow public API.
    *   `tf.raw_ops.Max` and `tf.raw_ops.Min` no longer accept inputs of type
        `tf.complex64` or `tf.complex128`, because the behavior of these ops is
        not well defined for complex types.
    *   XLA:CPU and XLA:GPU devices are no longer registered by default. Use
        `TF_XLA_FLAGS=--tf_xla_enable_xla_devices` if you really need them, but

Ela é bastante extensiva na especificação e cobre casos de uso muito complexos.

Ela inclui uma forma para autenticação usando “third party”/aplicações de terceiros.

Isso é o que todos os sistemas com “Login with Facebook, Google, Twitter, GitHub” usam por baixo.

### OAuth 1

Havia um OAuth 1, que é bem diferente do OAuth2, e mais complexo, isso incluía diretamente as especificações de como criptografar a comunicação.

Guillaume Nodet <******@****.***> 1729859506 +0200

* Valida **estruturas complexas**:
    * Use modelos hierárquicos do Pydantic, `List` e `Dict` do `typing` do Python, etc.
    * Validadores permitem que esquemas de dados complexos sejam limpos e facilmente definidos, conferidos e documentados como JSON Schema.

* Valide les **structures complexes**:
    * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc.
    * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON.

It is quite an extensive specification and covers several complex use cases.

It includes ways to authenticate using a "third party".

That's what all the systems with "login with Facebook, Google, Twitter, GitHub" use underneath.

### OAuth 1

There was an OAuth 1, which is very different from OAuth2, and more complex, as it included direct specifications on how to encrypt the communication.

class MergerTest {

    @Test
    void testMergerPreserveLocations() throws Exception {
        try (InputStream is = getClass().getResourceAsStream("/poms/factory/complex.xml")) {

            InputSource inputSource = new InputSource(null, "classpath:/poms/factory/complex.xml");
            Model model = new MavenStaxReader().read(is, true, inputSource);
            InputLocation propertiesLocation = model.getLocation("properties");