}
                            },
                        }
                    },
                },
                "post": {
                    "summary": "Create Item",
                    "operationId": "create_item_items__post",
                    "requestBody": {
                        "content": {
                            "application/json": {

				return nil
			}
		}
		opts := newServiceAccountOpts{
			accessKey:     change.Create.AccessKey,
			secretKey:     change.Create.SecretKey,
			sessionPolicy: sp,
			claims:        change.Create.Claims,
			name:          change.Create.Name,
			description:   change.Create.Description,
			expiration:    change.Create.Expiration,
		}

///

### Schritt 2: Erzeugen einer `FastAPI`-„Instanz“ { #step-2-create-a-fastapi-instance }

{* ../../docs_src/first_steps/tutorial001_py39.py hl[3] *}

In diesem Beispiel ist die Variable `app` eine „Instanz“ der Klasse `FastAPI`.

Dies wird der Hauptinteraktionspunkt für die Erstellung all Ihrer APIs sein.

### Schritt 3: Erstellen einer *Pfadoperation* { #step-3-create-a-path-operation }

#### Pfad { #path }

    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/items/": {
                "post": {
                    "summary": "Create Item",
                    "operationId": "create_item_items__post",
                    "requestBody": {
                        "content": {
                            "application/json": {

shred -s 500M /tmp/data/custpartsize
echo "done"

# Add replication site
./mc admin replicate add minio1 minio2 --insecure
# sleep for replication to complete
sleep 30

# Create bucket in source cluster
echo "Create bucket in source MinIO instance"
./mc mb minio1/test-bucket --insecure

# Enable SSE KMS for the bucket
./mc encrypt set sse-kms minio-default-key minio1/test-bucket --insecure

///

## Import Pydantic's `BaseModel` { #import-pydantics-basemodel }

First, you need to import `BaseModel` from `pydantic`:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Create your data model { #create-your-data-model }

Then you declare your data model as a class that inherits from `BaseModel`.

Use standard Python types for all the attributes:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

Now you can create a new directory for the new language, running the following script:

<div class="termy">

```console
// Use the command new-lang, pass the language code as a CLI argument
$ python ./scripts/docs.py new-lang la

Successfully initialized: docs/la
```

</div>

Now you can check in your code editor the newly created directory `docs/la/`.

    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/items/": {
                "post": {
                    "summary": "Create Item",
                    "operationId": "create_item_items__post",
                    "requestBody": {
                        "content": {
                            "application/json": {

    private val additionalClasspath = project.objects.fileCollection().apply {
        from(
            project.configurations.detachedConfiguration(
                project.dependencies.create(project.the<ExternalModulesExtension>().futureKotlin("compiler-embeddable"))
            )
        )
    }

    @get:InputFile
    @get:PathSensitive(PathSensitivity.RELATIVE)

    windowsScriptTemplate.from(layout.projectDirectory.file("../../../platforms/jvm/plugins-application/src/main/resources/org/gradle/api/internal/plugins/windowsStartScript.txt"))
}

configurations {
    create("gradleScriptsElements") {
        isCanBeResolved = false
        isCanBeConsumed = true
        attributes.attribute(Usage.USAGE_ATTRIBUTE, objects.named("start-scripts"))
        outgoing.artifact(startScripts)
    }