}

func testGetBucketLocationHandler(obj ObjectLayer, instanceType, bucketName string, apiRouter http.Handler,
	credentials auth.Credentials, t *testing.T,
) {
	// test cases with sample input and expected output.
	testCases := []struct {
		bucketName string
		accessKey  string
		secretKey  string
		// expected Response.
		expectedRespStatus int
		locationResponse   []byte
		errorResponse      APIErrorResponse

        when(mockTreeHandle.send(any(Smb2WriteRequest.class), any())).thenReturn(mockWriteResponse);
        when(mockWriteResponse.getCount()).thenReturn(8);

        // Create output stream in append mode - note the append flag sets initial fp to 100
        outputStream = new SmbFileOutputStream(mockFile, mockTreeHandle, mockFileHandle,

You can declare `examples` for a Pydantic model that will be added to the generated JSON Schema.

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

That extra info will be added as-is to the output **JSON Schema** for that model, and it will be used in the API docs.

You can use the attribute `model_config` that takes a `dict` as described in [Pydantic's docs: Configuration](https://docs.pydantic.dev/latest/api/config/).

    may start to fail. To fix this, either update any inference clients to send
    requests with the actual input and output keys used by the trainer code, or
    conversely, update the trainer code to name the input and output Tensors
    'inputs' and 'outputs', respectively. Signatures using the 'classify' and
    'regress' methods are not affected by this change; they will continue to

				// Scan folder we found. Should be in correct sort order where we are.
				internalLogIf(ctx, scanDir(pop))
			}
			dirStack = dirStack[:len(dirStack)-1]
		}
		return nil
	}

	// Stream output.
	return scanDir(opts.BaseDir)
}

func (p *xlStorageDiskIDCheck) WalkDir(ctx context.Context, opts WalkDirOptions, wr io.Writer) (err error) {
	if err := p.checkID(opts.DiskID); err != nil {
		return err
	}

 * <pre>
 * PomMemoryAnalyzer analyzer = new PomMemoryAnalyzer();
 * Model model = reader.read(Files.newInputStream(pomPath));
 * analyzer.analyzePom(model);
 * analyzer.printAnalysis();
 * </pre>
 *
 * <p>The analysis output includes:</p>
 * <ul>
 *   <li>Total memory usage per POM path</li>
 *   <li>Potential memory savings through string deduplication</li>
 *   <li>Most frequent string values and their occurrence counts</li>

        }
    }

    /**
     * Outputs INFO information.
     *
     * @param message
     *            Message
     */
    public void info(final Object message) {
        if (isInfoEnabled()) {
            log.info(toString(message));
        }
    }

    /**
     * Outputs WARN information.
     *
     * @param message
     *            Message

                            .contains(CommonsCliOptions.CLIManager.SHOW_ERRORS_CLI_ARG),
                    entries,
                    context.logger);
            // we skip handleException above as we did output
            throw new InvokerException.ExitException(1);
        }

        // warn about deprecated options

        SmbPipeOutputStream out2 = handle.getOutput();

        // Assert: same instances are returned subsequently
        assertSame(in1, in2, "Input stream should be cached");
        assertSame(out1, out2, "Output stream should be cached");

        // Close and verify subsequent calls throw
        handle.close();
        CIFSException ex1 = assertThrows(CIFSException.class, handle::getInput, "getInput after close must throw");

- Kube-log-runner: Added the `-log-file-size` parameter to rotate log output into a new file once it reached a certain size. Introduced `-log-file-age` to enable automatic removal of old output files, and `-flush-interval` to support periodic flushing. ([#127667](https://github.com/kubernetes/kubernetes/pull/127667), [@zylxjtu](https://github.com/zylxjtu)) [SIG API Machinery, Apps,...