final List<String> outputStrings = split(sides.get(1), ",");
                    outputs = new String[outputStrings.size()];
                    for (int i = 0; i < outputs.length; i++) {
                        outputs[i] = unescape(outputStrings.get(i)).trim();
                    }

                    if (inputs.length > 0 && outputs.length > 0) {
                        id++;

		if err != nil {
			return nil, err
		}

		// Pick output column names
		if expr.As != "" {
			output, err = output.Set(expr.As, v)
		} else if comp, ok := getLastKeypathComponent(expr.Expression); ok {
			output, err = output.Set(comp, v)
		} else {
			output, err = output.Set(fmt.Sprintf("_%d", i+1), v)
		}
		if err != nil {
			return nil, err
		}
	}

    "input": "aa--",
    "output": "aa--"
  },
  {
    "input": "a†--",
    "output": "xn--a---kp0a"
  },
  {
    "input": "ab--c",
    "output": "ab--c"
  },
  {
    "comment": "Label with leading hyphen",
    "input": "-x",
    "output": "-x"
  },
  {
    "input": "-†",
    "output": "xn----xhn"
  },
  {
    "input": "-x.xn--zca",
    "output": "-x.xn--zca"
  },
  {

    )
    assert result.exit_code == 1, result.output

    fixed_content = (root_dir / "docs" / "lang" / "docs" / "doc.md").read_text("utf-8")
    expected_content = Path(f"{data_path}/translated_doc_number_gt.md").read_text(
        "utf-8"
    )

    assert fixed_content == expected_content  # Translated doc remains unchanged
    assert "Error processing docs/lang/docs/doc.md" in result.output
    assert (

#include "tensorflow/core/platform/types.h"

namespace tensorflow {

// Represents the results of the execution of an operation.
struct OutputList {
  std::vector<AbstractTensorHandle*> outputs;
  int expected_num_outputs = -1;
};

namespace tracing {

// =============================================================================
// Implementation detail for the unified execution APIs for Eager and tracing

</div>

### Model for Output { #model-for-output }

But if you use the same model as an output, like here:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py hl[19] *}

...then because `description` has a default value, if you **don't return anything** for that field, it will still have that **default value**.

### Model for Output Response Data { #model-for-output-response-data }

    @Override
    public void write(File output, Map<String, Object> options, Model model) throws IOException {
        Objects.requireNonNull(output, "output cannot be null");
        Objects.requireNonNull(model, "model cannot be null");

        output.getParentFile().mkdirs();

        write(WriterFactory.newXmlWriter(output), options, model);
    }

    @Override

}
```

## Pydantic `bytes` for Output Data { #pydantic-bytes-for-output-data }

You can also use `bytes` fields with `ser_json_bytes` in the model config for output data, and Pydantic will *serialize* the bytes as base64 when generating the JSON response.

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

## Pydantic `bytes` for Input and Output Data { #pydantic-bytes-for-input-and-output-data }

        } finally {
            reproductionLines.remove(descriptor);
            EventWriter writer = eventWriters.remove(descriptor);
            if (writer != null) {
                try {
                    writer.close();
                } catch (IOException e) {
                    taskLogger.error("Failed to close test suite output stream", e);
                }

        String text = FileUtils.read(file, "UTF-8");
        if (text.trim().isEmpty()) {
            return;
        }
        appendText(text, name, type, output);
    }

    public static void appendText(String text, final String name, final String type, StringBuilder output) {