package com.google.common.collect.testing;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;

/**
 * Simple derived class to verify that we handle generics correctly.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible
public class DerivedComparable extends BaseComparable {
  public DerivedComparable(String s) {

En particulier, on voit Uvicorn, Starlette et FastAPI comparés (parmi de nombreux autres outils).

Plus le problème résolu par un outil est simple, mieux seront les performances obtenues. Et la plupart des tests de performance ne prennent pas en compte les fonctionnalités additionnelles fournies par les outils.

La hiérarchie est la suivante :

	// Failed to identify what type of error this, return a simple UI error
	return Err{msg: err.Error()}
}

// FmtError converts a fatal error message to a more clear error
// using some colors
func FmtError(introMsg string, err error, jsonFlag bool) string {
	renderedTxt := ""
	uiErr := ErrorToErr(err)
	// JSON print
	if jsonFlag {
		// Message text in json should be simple
		if uiErr.detail != "" {

 * under the License.
 */

package org.apache.maven.embedder;

import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;

/**
 * Unit test for simple App.
 */
public class AppTest
    extends TestCase
{
    /**
     * Create the test case
     *
     * @param testName name of the test case
     */
    public AppTest( String testName )
    {

Here are some examples of when that could make sense:

#### A Simple App { #a-simple-app }

You could want a process manager in the container if your application is **simple enough** that can run it on a **single server**, not a cluster.

#### Docker Compose { #docker-compose }

 */

package com.google.common.base;

import static java.util.concurrent.TimeUnit.NANOSECONDS;

import com.google.caliper.Benchmark;
import org.jspecify.annotations.NullUnmarked;

/**
 * Simple benchmark: create, start, read. This does not currently report the most useful result
 * because it's ambiguous to what extent the stopwatch benchmark is being affected by GC.
 *
 * @author Kevin Bourrillion
 */
@NullUnmarked

name: Bug Report
description: File a bug report
labels: ["bug"]

body:
  - type: markdown
    attributes:
      value: |
        Thanks for taking the time to fill out this bug report.     

        Simple fixes in single PRs do not require issues. 
  
        **Do you use the latest project version?**

  - type: input
    id: version
    attributes:
      label: Affected version
    validations:
      required: true

Acabas de ver el lugar principal para declarar anotaciones de tipos. Como parámetros de función.

Este también es el lugar principal donde los utilizarías con **FastAPI**.

### Tipos simples { #simple-types }

Puedes declarar todos los tipos estándar de Python, no solo `str`.

Puedes usar, por ejemplo:

* `int`
* `float`
* `bool`
* `bytes`

        byte[] base = buildCreateBodyNoContexts((byte) 1, (byte) 2, 3, 1000L, 2000L, 3000L, 4000L, 512L, 1024L, 0x20, fileId);

        // Create a simple context entry
        byte[] ctx = new byte[0x40];
        int ci = 0;
        SMBUtil.writeInt4(0, ctx, ci); // Next = 0 (only one)
        ci += 4;
        SMBUtil.writeInt2(0x10, ctx, ci); // NameOffset

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import java.util.Set;
import org.jspecify.annotations.NullUnmarked;

/**
 * Very simple powerSet iteration benchmark.
 *
 * @author Kevin Bourrillion
 */
@NullUnmarked
public class PowerSetBenchmark {
  @Param({"2", "4", "8", "16"})
  int elements;

  Set<Set<Integer>> powerSet;