}

    private
    fun VersionNumber.format() =
        // reformat according to our versioning scheme, since toString() would typically convert 1.0 to 1.0.0
        GradleVersion.version("$major.${minor}${if (micro > 0) ".$micro" else ""}${if (qualifier != null) "-$qualifier" else ""}")

La hiérarchie est la suivante :

* **Uvicorn** : un serveur ASGI
    * **Starlette** : (utilise Uvicorn) un micro-framework web
        * **FastAPI**: (utilise Starlette) un micro-framework pour API disposant de fonctionnalités additionnelles pour la création d'API, avec la validation des données, etc.

* **Uvicorn** :

## Why is MinIO cloud-native?

With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on Pydantic for all the data handling):

* **No brainfuck**:
    * No new schema definition micro-language to learn.
    * If you know Python types you know how to use Pydantic.

这也意味着在很多情况下，你可以将从请求中获得的相同对象**直接传到数据库**，因为所有的验证都是自动的。

反之亦然，在很多情况下，你也可以将从数据库中获取的对象**直接传到客户端**。

通过 **FastAPI** 你可以获得所有 **Pydantic**  (FastAPI 基于 Pydantic 做了所有的数据处理)：

* **更简单**：
    * 没有新的模式定义 micro-language 需要学习。
    * 如果你知道 Python types，你就知道如何使用 Pydantic。
* 和你 **<abbr title="集成开发环境，和代码编辑器类似">IDE</abbr>/<abbr title="一个检查代码错误的程序">linter</abbr>/brain** 适配:

	return Token{ScanToken: token, text: text}
}

func (l Token) String() string {
	return l.text
}

// A Macro represents the definition of a #defined macro.
type Macro struct {
	name   string   // The #define name.
	args   []string // Formal arguments.
	tokens []Token  // Body of macro.
}

// Tokenize turns a string into a list of Tokens; used to parse the -D flag and in tests.

	{
		"define without value",
		"#define A",
		"",
	},
	{
		"macro without arguments",
		"#define A() 1234\n" + "A()\n",
		"1234.\n",
	},
	{
		"macro with just parens as body",
		"#define A () \n" + "A\n",
		"(.).\n",
	},
	{
		"macro with parens but no arguments",
		"#define A (x) \n" + "A\n",
		"(.x.).\n",
	},
	{
		"macro with arguments",
		"#define A(x, y, z) x+z+y\n" + "A(1, 2, 3)\n",

#ifndef TENSORFLOW_C_C_API_MACROS_INTERNAL_H_
#define TENSORFLOW_C_C_API_MACROS_INTERNAL_H_

#ifdef __cplusplus
#include "tensorflow/core/platform/status.h"

// Macro to verify that the field `struct_size` of STRUCT_OBJ is initialized.
// `struct_size` is used for struct member compatibility check between core TF
// and plug-ins with the same C API minor version. More info here:

}

func (s *Slice) Line() int {
	return s.line
}

func (s *Slice) Col() int {
	// TODO: Col is only called when defining a macro and all it cares about is increasing
	// position to discover whether there is a blank before the parenthesis.
	// We only get here if defining a macro inside a macro.
	// This imperfect implementation means we cannot tell the difference between
	//	#define A #define B(x) x
	// and

KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
-->

]]#

#macro(yesno $val)
  #if ($val) Yes #else No #end
#end

#macro(value $val)
#if ($val) `$val` #else - #end
#end

| No | Key | Type | Description | Default Value | Since | Source |
| --- | --- | --- | --- | --- | --- | --- |
#foreach($key in $keys)