<modelVersion>4.1.0</modelVersion>
                    <parent>
                        <groupId>org.springframework.boot</groupId>
                        <artifactId>spring-boot-starter-parent</artifactId>
                        <version>3.0.0</version>
                        <relativePath/>
                    </parent>
                    <artifactId>my-spring-app</artifactId>

///

/// check

You don't have to worry about performance when including routers.

This will take microseconds and will only happen at startup.

So it won't affect performance. ⚡

///

### Include an `APIRouter` with a custom `prefix`, `tags`, `responses`, and `dependencies` { #include-an-apirouter-with-a-custom-prefix-tags-responses-and-dependencies }

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[25:30]  hl[25:27,30] *}

### Die Datenbanktabellen beim Start erstellen { #create-database-tables-on-startup }

Wir werden die Datenbanktabellen erstellen, wenn die Anwendung startet.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[32:37] hl[35:37] *}

Hier erstellen wir die Tabellen bei einem Anwendungsstart-Event.

		{"$this-is-not-valid-too", true},
		{"contains-$-dollar", true},
		{"contains-^-carrot", true},
		{"contains-$-dollar", true},
		{"contains-$-dollar", true},
		{".starts-with-a-dot", true},
		{"ends-with-a-dot.", true},
		{"ends-with-a-dash-", true},
		{"-starts-with-a-dash", true},
		{"THIS-BEINGS-WITH-UPPERCASe", true},
		{"tHIS-ENDS-WITH-UPPERCASE", true},
		{"ThisBeginsAndEndsWithUpperCase", true},
		{"una ñina", true},

- Kubeadm: remove the deprecated...

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[25:30]  hl[25:27,30] *}

### Crear Tablas de Base de Datos al Arrancar { #create-database-tables-on-startup }

Crearemos las tablas de la base de datos cuando arranque la aplicación.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[32:37] hl[35:37] *}

automatically on GitHub.

If you want to contribute, start working through the TensorFlow codebase,
navigate to the
[GitHub "issues" tab](https://github.com/tensorflow/tensorflow/issues) and start
looking through interesting issues. If you are not sure of where to start, then
start by trying one of the smaller/easier issues here i.e.

		}

		if _, _, err := net.SplitHostPort(consoleAddr); err != nil {
			logger.FatalIf(err, "Unable to start listening on console port")
		}

		if consoleAddr == addr {
			logger.FatalIf(errors.New("--console-address cannot be same as --address"), "Unable to start the server")
		}
	}

	globalMinioHost, globalMinioPort = mustSplitHostPort(addr)
	if globalMinioPort == "0" {

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[25:30]  hl[25:27,30] *}

### Créer les tables de base au démarrage { #create-database-tables-on-startup }

Nous allons créer les tables de base de données au démarrage de l'application.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[32:37] hl[35:37] *}

  }

  /**
   * Encodes an integer as a string with given radix, then uses {@link Ints#tryParse(String, int)}
   * to parse the result. Asserts the result is the same as what we started with.
   */
  private static void radixEncodeParseAndAssertEquals(Integer value, int radix) {
    assertWithMessage("Radix: %s", radix)
        .that(Ints.tryParse(Integer.toString(value, radix), radix))