// parameters substituted for the formals.
// Invoking a macro does not touch the PC/line history.
func (in *Input) invokeMacro(macro *Macro) {
	// If the macro has no arguments, just substitute the text.
	if macro.args == nil {
		in.Push(NewSlice(in.Base(), in.Line(), macro.tokens))
		return
	}
	tok := in.Stack.Next()
	if tok != '(' {

//	LAND/LXOR/LOR imm ',' rreg
//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
	AND	$11, R17, R7	// 3227000b
	XOR	$341, R1, R23	// 38370155
	OR	$254, R25, R13	// 372d00fe
//
// move immediate: macro for lui+or, addi, addis, and other combinations
//
//	LMOVW imm ',' rreg
//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
	MOVW	$1, R1
	MOVV	$1, R1

//	LMOVW ximm ',' rreg
//	{

In the runtime package, assembly code can include <code>go_tls.h</code>, which defines
an OS- and architecture-dependent macro <code>get_tls</code> for accessing this register.
The <code>get_tls</code> macro takes one argument, which is the register to load the
<code>g</code> pointer into.
</p>

<p>
For example, the sequence to load <code>g</code> and <code>m</code>

pkg debug/macho, const FlagBindsToWeak uint32
pkg debug/macho, const FlagCanonical = 16384
pkg debug/macho, const FlagCanonical uint32
pkg debug/macho, const FlagDeadStrippableDylib = 4194304
pkg debug/macho, const FlagDeadStrippableDylib uint32
pkg debug/macho, const FlagDyldLink = 4
pkg debug/macho, const FlagDyldLink uint32
pkg debug/macho, const FlagForceFlat = 256
pkg debug/macho, const FlagForceFlat uint32

Ce découplage des parties, et le fait d'être un "micro-framework" qui puisse être étendu pour couvrir exactement ce
qui est nécessaire, était une caractéristique clé que je voulais conserver.

Compte tenu de la simplicité de Flask, il semblait bien adapté à la création d'API. La prochaine chose à trouver était un "Django REST Framework" pour Flask.

/// check | A inspiré **FastAPI** à

    repo: fontawesome/brands/github-alt
  logo: img/icon-white.svg
  favicon: img/favicon.png
  language: en
repo_name: fastapi/fastapi
repo_url: https://github.com/fastapi/fastapi
plugins:
  search: null
  macros:
    include_yaml:
    - external_links: ../en/data/external_links.yml
    - github_sponsors: ../en/data/github_sponsors.yml
    - people: ../en/data/people.yml
    - contributors: ../en/data/contributors.yml

          "interval": "",
          "legendFormat": "[{{drive}}:{{api}}]",
          "refId": "B"
        }
      ],
      "title": "Drive Latency (micro sec)",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "description": "",
      "fieldConfig": {

Kullanıcılar için otomatik API dökümantasyonu sunan bir web arayüzüne sahip olmalı.

///

### <a href="https://flask.palletsprojects.com" class="external-link" target="_blank">Flask</a>

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.

		return nil, nil, errInvalidArgument
	}

	// prepare getElapsedTime() to calculate elapsed time since we started trying formatting disks.
	// All times are rounded to avoid showing milli, micro and nano seconds
	formatStartTime := time.Now().Round(time.Second)
	getElapsedTime := func() string {
		return time.Now().Round(time.Second).Sub(formatStartTime).String()
	}

	var (
		tries   int

Con **FastAPI** obtienes todas las funcionalidades de **Pydantic** (ya que FastAPI está basado en Pydantic para todo el manejo de datos):

* **Sin complicaciones**:
    * Sin micro-lenguaje de definición de esquemas nuevo que aprender.
    * Si conoces los tipos en Python sabes cómo usar Pydantic.