assertTrue(transport.isSigningOptional());
        assertTrue(transport.isSigningEnforced());
    }

    @Test
    @DisplayName("unwrap returns this for compatible types and throws otherwise")
    void unwrapBehavior() {
        // Happy paths
        SmbTransport asIface = transport.unwrap(SmbTransport.class);
        assertSame(transport, asIface);

Nếu bạn cần 2 phút để làm mới lại cách sử dụng các kiểu dữ liệu mới của Python (thậm chí nếu bạn không sử dụng FastAPI), xem hướng dẫn ngắn: [Kiểu dữ liệu Python](python-types.md){.internal-link target=_blank}.

Bạn viết chuẩn Python với kiểu dữ liệu như sau:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str

   * the two equal instances {@code ImmutableSet.of(1, 2)} and {@code ImmutableSet.of(2, 1)}.
   *
   * <p><b>Warning:</b> as with all function types in this package, avoid depending on the specific
   * {@code equals}, {@code hashCode} or {@code toString} behavior of the returned function. A
   * future migration to {@code java.util.function} will not preserve this behavior.
   *

        assertEquals(testString, result);
    }

    @ParameterizedTest
    @DisplayName("Test readDataWireFormat with various share types")
    @CsvSource({ "0, SHARE, Normal share", "1, PRINTER, Printer share", "3, IPC$, IPC share", "32768, HIDDEN, Hidden share", // 0x8000 - hidden flag in lower 16 bits

		authT := getRequestAuthType(testc.req)
		if authT != testc.authT {
			t.Errorf("Test %d: Expected %d, got %d", i+1, testc.authT, authT)
		}
	}
}

// Test all s3 supported auth types.
func TestS3SupportedAuthType(t *testing.T) {
	type testCase struct {
		authT authType
		pass  bool
	}
	// List of all valid and invalid test cases.
	testCases := []testCase{

      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work

import jcifs.util.Encdec;
import jcifs.util.Strings;

/**
 * NDR (Network Data Representation) buffer for encoding and decoding DCE/RPC messages.
 * This class provides methods for reading and writing primitive types and strings
 * in NDR format for DCE/RPC communication.
 */
public class NdrBuffer {

    private int referent;
    private Map<Object, Entry> referents;

    private static class Entry {

        assertNotNull(errorHandler, "Error handler should not be null");

        // Test error classification for different exception types
        Exception hardwareError = new RuntimeException("RDMA hardware not supported");
        Exception networkError = new java.io.IOException("Network connection failed");

이를 위해 표준 Python 타입 힌트인 <a href="https://docs.python.org/3/library/typing.html#typing.Union" class="external-link" target="_blank">`typing.Union`</a>을 사용할 수 있습니다:

/// note | 참고

<a href="https://docs.pydantic.dev/latest/concepts/types/#unions" class="external-link" target="_blank">`Union`</a>을 정의할때는 더 구체적인 타입을 먼저 포함하고, 덜 구체적인 타입을 그 뒤에 나열해야합니다. 아래 예제에서는 `Union[PlaneItem, CarItem]` 를 보면, 더 구체적인 `PlaneItem`이 `CarItem`보다 앞에 위치합니다.

///

Wenn Sie eine zweiminütige Auffrischung benötigen, wie man Python-Typen verwendet (auch wenn Sie FastAPI nicht benutzen), schauen Sie sich das kurze Tutorial an: [Einführung in Python-Typen](python-types.md){.internal-link target=_blank}.

Sie schreiben Standard-Python mit Typen:

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel