MC_CONFIG_DIR="{{ .Values.configPathmc }}"
MC="/usr/bin/mc --insecure --config-dir ${MC_CONFIG_DIR}"
{{- else }}
MC="/usr/bin/mc --insecure"
{{- end }}

# AccessKey and secretkey credentials file are added to prevent shell execution errors caused by special characters.
# Special characters for example : ',",<,>,{,}
MINIO_ACCESSKEY_SECRETKEY_TMP="/tmp/accessKey_and_secretKey_tmp"

# connectToMinio

import java.util.stream.Collectors;

import static org.elasticsearch.gradle.internal.vagrant.VagrantMachine.convertLinuxPath;
import static org.elasticsearch.gradle.internal.vagrant.VagrantMachine.convertWindowsPath;

/**
 * A shell script to run within a vagrant VM.
 *
 * The script is run as root within the VM.
 */
public abstract class VagrantShellTask extends DefaultTask {

    private final VagrantExtension extension;

        final Map<String, Object> doc = new LinkedHashMap<>();
        doc.put("url", "https://example.com/page.html");
        doc.put("title", "Test Page");
        doc.put("content", "Hello World");
        setupMockComponents(Collections.singletonList(doc));

        final String result = indexExportJob.execute();

        assertEquals("Exported 1 documents.", result);

      render: shell
    validations:
      required: true

  - type: textarea
    id: what-did-you-do
    attributes:
      label: "What did you do?"

build --repo_env=HERMETIC_PYTHON_VERSION=3.12

# OR pass it directly to your specific build command
bazel build <target> --repo_env=HERMETIC_PYTHON_VERSION=3.12

# OR set the environment variable globally in your shell:
export HERMETIC_PYTHON_VERSION=3.12
```

You may run builds and tests against different versions of Python sequentially
on the same machine by simply switching the value of `HERMETIC_PYTHON_VERSION`

    @Test
    public void test_execute_withPhraseQuery() {
        // Test executing BoostQuery with a PhraseQuery inside
        PhraseQuery.Builder builder = new PhraseQuery.Builder();
        builder.add(new Term("field", "hello"));
        builder.add(new Term("field", "world"));
        PhraseQuery phraseQuery = builder.build();
        BoostQuery boostQuery = new BoostQuery(phraseQuery, 1.5f);

Wenn Sie beispielsweise eine Funktion haben:

```Python
@lru_cache
def say_hi(name: str, salutation: str = "Ms."):
    return f"Hello {salutation} {name}"
```

könnte Ihr Programm so ausgeführt werden:

```mermaid
sequenceDiagram

participant code as Code
participant function as say_hi()
participant execute as Funktion ausführen

* Machine Learning: Machine Learning (do not translate to "Aprendizaje Automático")
* Deep Learning: Deep Learning (do not translate to "Aprendizaje Profundo")
* callback hell: callback hell (do not translate to "infierno de callbacks")
* tip: Consejo (do not translate to "tip")
* check: Revisa (do not translate to "chequea" or "comprobación)

        ]
    }


def test_root_token_jessica(client: TestClient):
    response = client.get("/?token=jessica")
    assert response.status_code == 200
    assert response.json() == {"message": "Hello Bigger Applications!"}


def test_root_with_no_token(client: TestClient):
    response = client.get("/")
    assert response.status_code == 422
    assert response.json() == {
        "detail": [

Par exemple, si vous avez une fonction :

```Python
@lru_cache
def say_hi(name: str, salutation: str = "Ms."):
    return f"Hello {salutation} {name}"
```

votre programme pourrait s'exécuter comme ceci :

```mermaid
sequenceDiagram

participant code as Code
participant function as say_hi()