// starting with Gradle 9.0, the version number is always 3 digits (SemVer)
        GradleVersion.version("$major.${minor}${if (micro > 0 || major >= 9) ".$micro" else ""}${if (qualifier != null) "-$qualifier" else ""}")

    /*
     * We use double-checked locking. We could the try racy single-check idiom, but that would
     * depend on Logger to not contain mutable state.
     *
     * We could use Suppliers.memoizingSupplier here, but I micro-optimized to this implementation
     * to avoid the extra class for the lambda (and maybe more for memoizingSupplier itself) and the
     * indirection.
     *

          "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.

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.

Com **FastAPI** você terá todos os recursos do **Pydantic** (já que FastAPI utiliza o Pydantic para todo o controle dos dados):

* **Sem pegadinhas**:
    * Sem novas definições de esquema de micro-linguagem para aprender.
    * Se você conhece os tipos do Python, você sabe como usar o Pydantic.

Dada la simplicidad de Flask, parecía una buena opción para construir APIs. Lo siguiente a encontrar era un "Django REST Framework" para Flask.

/// check | Inspiró a **FastAPI** a

Ser un micro-framework. Haciendo fácil mezclar y combinar las herramientas y partes necesarias.

Tener un sistema de routing simple y fácil de usar.

///

    try {
      // We get the result, even if collectOneValue is a no-op, so that we can fail fast.
      // We use getUninterruptibly over getDone as a micro-optimization, we know the future is done.
      collectOneValue(index, getUninterruptibly(future));
    } catch (ExecutionException e) {
      handleException(e.getCause());