./mc ready minio1 --insecure
./mc ready minio2 --insecure

# Prepare data for tests
echo -n "Preparing test data ..."
mkdir -p /tmp/data
echo "Hello world" >/tmp/data/plainfile
echo "Hello from encrypted world" >/tmp/data/encrypted
touch /tmp/data/defpartsize
shred -s 500M /tmp/data/defpartsize
touch /tmp/data/mpartobj.txt
shred -s 500M /tmp/data/mpartobj.txt
echo "done"

    server.setServerSocketFactory(new UnixDomainServerSocketFactory(socketFile));
    server.setProtocols(Collections.singletonList(Protocol.H2_PRIOR_KNOWLEDGE));
    server.enqueue(new MockResponse().setBody("hello"));
    server.start();

    OkHttpClient client = new OkHttpClient.Builder()
        .socketFactory(new UnixDomainSocketFactory(socketFile))
        .protocols(Collections.singletonList(Protocol.H2_PRIOR_KNOWLEDGE))

      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository
        uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
      - name: Build binary and run python tests
        shell: bash
        run: |

You can read more about it in the <a href="https://docs.docker.com/reference/dockerfile/#shell-and-exec-form" class="external-link" target="_blank">Docker docs for shell and exec form</a>.

        String testValue = "HELLO WORLD";
        OptionalEntity<String> result = OptionalUtil.ofNullable(testValue);

        assertTrue(result.isPresent());

        // Test that we can chain operations
        String processed = result.map(s -> s.toLowerCase()).orElse("default");

        assertEquals("hello world", processed);

        // Test with null value

	}

	objectName := `\../.minio.sys/config/hello.txt`

	// initialize HTTP NewRecorder, this records any mutations to response writer inside the handler.
	rec := httptest.NewRecorder()
	// construct HTTP request for Get Object end point.
	req, err := newTestSignedRequestV4(http.MethodPut, getPutObjectURL("", bucketName, objectName),

### Stwórz

* Utwórz plik o nazwie `main.py` z:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">

            24
          distribution: 'temurin'
          cache: 'maven'
      - name: 'Install'
        shell: bash
        run: ./mvnw -B -Dorg.slf4j.simpleLogger.log.org.apache.maven.cli.transfer.Slf4jMavenTransferListener=warn -Dtoolchain.skip install -U -DskipTests=true -f $ROOT_POM
      - name: 'Test'
        shell: bash

{* ../../docs_src/custom_response/tutorial009c.py hl[9:14,17] *}

이제 다음 대신:

```json
{"message": "Hello World"}
```

이 응답은 이렇게 반환됩니다:

```json
{
  "message": "Hello World"
}
```

물론 JSON 포맷팅보다 더 유용하게 활용할 방법을 찾을 수 있을 것입니다. 😉

## 기본 응답 클래스

**FastAPI** 클래스 객체 또는 `APIRouter`를 생성할 때 기본적으로 사용할 응답 클래스를 지정할 수 있습니다.

    }

    @Test
    @DisplayName("Should encode and decode strings using byte operations")
    void testStringOperations() {
        // Given
        String testString = "Hello";
        byte[] buffer = new byte[testString.length()];

        // When - Manual string encoding using individual bytes
        byte[] strBytes = testString.getBytes();