{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[66:73] hl[71] *}

### Die App ausführen { #run-the-app }

Sie können die App ausführen:

<div class="termy">

```console
$ fastapi dev main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

        <remoteArtifactRepositories implementation="java.util.List">${project.remoteArtifactRepositories}</remoteArtifactRepositories>
        <appendedResourcesDirectory implementation="java.io.File">${basedir}/src/main/appended-resources</appendedResourcesDirectory>
        <excludeScope implementation="java.lang.String" default-value="">${excludeScope}</excludeScope>

        <artifactId>modello-maven-plugin</artifactId>
        <configuration>
          <version>1.2.0</version>
          <models>
            <model>../../api/maven-api-cli/src/main/mdo/core-extensions.mdo</model>
          </models>
          <templates>
            <template>reader-stax.vm</template>
            <template>writer-stax.vm</template>
          </templates>
          <params>

                exampleClass = if (descriptor.componentType === ComponentType.LIBRARY) "Hello" else "Greeter"
                sourceFile = (if (descriptor.componentType === ComponentType.LIBRARY) "Hello" else "main") + ".swift"
                testSourceFile = exampleClass + "Tests.swift"
                sourceFileTree = "        │       └── $sourceFile"
                testSourceFileTree = """                └── $testSourceFile

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[66:73] hl[71] *}

### Запуск приложения { #run-the-app }

Вы можете запустить приложение:

<div class="termy">

```console
$ fastapi dev main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

                        }
                    }
                }
            }
        }
    }
}
```

## Media types adicionales para el response principal { #additional-media-types-for-the-main-response }

Puedes usar este mismo parámetro `responses` para agregar diferentes media type para el mismo response principal.

                        }
                    }
                }
            }
        }
    }
}
```

## Zusätzliche Medientypen für die Haupt-Response { #additional-media-types-for-the-main-response }

Sie können denselben `responses`-Parameter verwenden, um verschiedene Medientypen für dieselbe Haupt-Response hinzuzufügen.

        dbversion: [ 'v6.5.0' ]
        go: ['1.24', '1.25']
        platform: [ ubuntu-latest ]
    runs-on: ${{ matrix.platform }}

    steps:
      - name: Setup TiDB
        uses: Icemap/tidb-action@main
        with:
          port: 9940
          version: ${{matrix.dbversion}}

      - name: Set up Go 1.x
        uses: actions/setup-go@v4
        with:
          go-version: ${{ matrix.go }}

// Copyright 2011 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package main

import (
	"flag"
	"fmt"
	"go/build"
	"internal/testenv"
	"os"
	"path/filepath"
	"slices"
	"strings"
	"sync"
	"testing"
)

var flagCheck = flag.Bool("check", false, "run API checks")

func TestMain(m *testing.M) {
	flag.Parse()