}

    /**
     * Tests that the getter for the output stream returns the correct stream.
     * @throws CIFSException if an error occurs while getting the stream.
     */
    @Test
    public void testGetOutputStream() throws CIFSException {
        assertEquals(mockOutputStream, smbPipeHandle.getOutput(), "getOutput() should return the correct output stream.");
    }

    /**

}
```

## 出力データ向けの Pydantic `bytes` { #pydantic-bytes-for-output-data }

出力データ用にモデル設定で `ser_json_bytes` とともに `bytes` フィールドを使用することもでき、Pydantic は JSON レスポンスを生成するときにバイト列を base64 でシリアライズします。

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

## 入力・出力データ向けの Pydantic `bytes` { #pydantic-bytes-for-input-and-output-data }

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

And it will be annotated / documented accordingly too.

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

     * --- Comment out assertEquals.
     * --- System.out.println(input + " " + simplifyPath(input));
     * --- fail(). (If the test were to pass, its output would be hidden.)
     * - Run the test.
     * - Pull the relevant lines of output from the test into a testcases file.
     * - Test the output:
     * --- cat testcases | while read L; do
     *       X=($L)
     *       A=$( cd /b/c && sudo mkdir -p ${X[0]} && cd ${X[0]} && pwd |

     * --- Comment out assertEquals.
     * --- System.out.println(input + " " + simplifyPath(input));
     * --- fail(). (If the test were to pass, its output would be hidden.)
     * - Run the test.
     * - Pull the relevant lines of output from the test into a testcases file.
     * - Test the output:
     * --- cat testcases | while read L; do
     *       X=($L)
     *       A=$( cd /b/c && sudo mkdir -p ${X[0]} && cd ${X[0]} && pwd |

			}
		}
		// Test passes as expected, but the output values are verified for correctness here.
		if actualErr == nil && testCase.shouldPass {
			// Asserting whether the md5 output is correct.
			if testCase.inputMd5 != actualInfo.ETag {

  }
  std::string value_string;
  if (!SummarizeValue(value_string).ok()) {
    value_string = "<error computing value>";
  }
  if (value_string.length() > 100) {
    // The default NumPy-style output can be distractingly long in error
    // messages.
    value_string = absl::StrCat(value_string.substr(0, 100), " [...]");
  }
  absl::Status s;
  const char* device_name = DeviceName(&s);
  if (!s.ok()) {

                .longOpt("quiet")
                .desc("Quiet output - only show errors")
                .build());
        options.addOption(Option.builder(Character.toString(VERBOSE))
                .longOpt("verbose")
                .desc("Produce execution verbose output")
                .build());
        options.addOption(Option.builder(Character.toString(ERRORS))

	if GlobalKMS == nil {
		output = input
		return output, metabytes, err
	}

	metadata := make(map[string]string)
	key, err := GlobalKMS.GenerateKey(ctx, &kms.GenerateKeyRequest{AssociatedData: kmsContext})
	if err != nil {
		return output, metabytes, err
	}

	outbuf := bytes.NewBuffer(nil)

			continue
		}
		// Test passes as expected, but the output values are verified for correctness here.
		if actualErr == nil {
			// Asserting whether the md5 output is correct.
			if expectedMD5, ok := testCase.inputMeta["etag"]; ok && expectedMD5 != objInfo.ETag {