type: TYPE # valid values are "minio"
	bucket: BUCKET
	prefix: PREFIX
	# NOTE: if source is remote then target must be "local"
	# endpoint: ENDPOINT
	# credentials:
	#   accessKey: ACCESS-KEY
	#   secretKey: SECRET-KEY
	#   sessionToken: SESSION-TOKEN # Available when rotating credentials are used

  # target where the objects must be replicated
  target:
	type: TYPE # valid values are "minio"
	bucket: BUCKET
	prefix: PREFIX

	exit 1
fi

s3-check-md5 -versions -access-key minioadmin -secret-key minioadmin -endpoint http://127.0.0.1:9001/ -bucket bucket2
s3-check-md5 -versions -access-key minioadmin -secret-key minioadmin -endpoint http://127.0.0.1:9001/ -bucket versioned

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```

    protected static final String OIC_TOKEN_SERVER_URL = "oic.token.server.url";

    /** Configuration key for OpenID Connect client secret. */
    protected static final String OIC_CLIENT_SECRET = "oic.client.secret";

    /** Session key for OpenID Connect state parameter. */
    protected static final String OIC_STATE = "OIC_STATE";

    /** Configuration key for OpenID Connect base URL. */

{{- if not .Values.existingSecret }}
apiVersion: v1
kind: Secret
metadata:
  name: {{ template "minio.secretName" . }}
  labels:
    app: {{ template "minio.name" . }}
    chart: {{ template "minio.chart" . }}
    release: {{ .Release.Name }}
    heritage: {{ .Release.Service }}
type: Opaque
data:
  rootUser: {{ include "minio.root.username" . | b64enc | quote }}
  rootPassword: {{ include "minio.root.password" . | b64enc | quote }}

Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

und dann aufrufen:

```Python
user_dict = user_in.model_dump()
```

У Pydantic-моделей есть метод `.dict()`, который возвращает `dict` с данными модели.

Поэтому, если мы создадим Pydantic-объект `user_in` таким способом:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

и затем вызовем:

```Python
user_dict = user_in.dict()
```

    return [pet1, pet2]


client = TestClient(app)


def test_filter_top_level_model():
    response = client.post(
        "/users", json={"email": "******@****.***", "password": "secret"}
    )
    assert response.json() == {"email": "******@****.***"}


def test_filter_second_level_model():
    response = client.get("/pets/1")
    assert response.json() == {
        "name": "Nibbler",

	echo "random line 1"
	echo ""
	echo ""
}

function send_put_object_request() {
	hdr_timeout=$1
	body_timeout=$2

	start=$(date +%s)
	timeout 5m bash -c "gen_put_request $hdr_timeout $body_timeout | netcat 127.0.0.1 $start_port | read" || return -1
	[ $(($(date +%s) - start)) -gt $((srv_hdr_timeout + srv_idle_timeout + 1)) ] && return -1
	return 0
}

function test_minio_with_timeout() {
	start_port=$1

    params {
        param("env.JAVA_HOME", javaHome(BuildToolBuildJvm, Os.LINUX))
        param("env.GRADLE_PUBLISH_KEY", "%plugin.portal.publish.key%")
        param("env.GRADLE_PUBLISH_SECRET", "%plugin.portal.publish.secret%")
        param("env.PGP_SIGNING_KEY", "%pgpSigningKey%")
        param("env.PGP_SIGNING_KEY_PASSPHRASE", "%pgpSigningPassphrase%")
    }
    steps {
        gradleWrapper {
            name = "Publish Kotlin DSL Plugin"