### Target language

Translate to Simplified Chinese (简体中文).

Language code: zh.

### Grammar and tone

- Use clear, concise technical Chinese consistent with existing docs.
- Address the reader naturally (commonly using “你/你的”).

### Headings

- Follow existing Simplified Chinese heading style (short and descriptive).
- Do not add trailing punctuation to headings.

type DecoderError struct {
	msg       string // description of error
	context   string // additional error context
	pos       errPos
	atChar    byte
	readerErr error // underlying reader error, if any
}

// ReaderErr returns the underlying error.
func (e DecoderError) ReaderErr() error { return e.readerErr }

// Error returns a string representation of the error.
func (e DecoderError) Error() string {

        file("/build/${testIntermediateDir}/transformed/rest-api-spec/test/test.yml" ).exists()
        List<ObjectNode> actual = READER.readValues(file("/build/${testIntermediateDir}/transformed/rest-api-spec/test/test.yml")).readAll()
        List<ObjectNode> expectedAll = READER.readValues(
        """
        ---
        setup:
        - skip:
            features:
            - "headers"

Para más detalles sobre la extensión, consulta el README en el [repositorio de GitHub](https://github.com/fastapi/fastapi-vscode).

## Configuración e instalación { #setup-and-installation }

            } catch (Exception e) {
                exceptions.add(e);
            } finally {
                endLatch.countDown();
            }
        });

        // Thread 2: Continuously reads trees
        executor.submit(() -> {
            try {
                for (int i = 0; i < iterations; i++) {
                    // This would cause ConcurrentModificationException with ArrayList

 * It can identify areas where string deduplication could provide significant memory savings.</p>
 *
 * <p>Usage example:</p>
 * <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>

        CountDownLatch latch = new CountDownLatch(1);
        AtomicInteger numObInputDoc = new AtomicInteger(0);
        ESSourceReader reader = new ESSourceReader(client, suggester.settings(), indexName);
        reader.setScrollSize(1000);

        suggester.indexer().indexFromDocument(() -> reader, 1000, () -> ThreadUtil.sleep(100)).then(response -> {
            numObInputDoc.set(response.getNumberOfInputDocs());

// Code generated by github.com/tinylib/msgp DO NOT EDIT.

package cmd

import (
	"github.com/tinylib/msgp/msgp"
)

// DecodeMsg implements msgp.Decodable
func (z *ChecksumAlgo) DecodeMsg(dc *msgp.Reader) (err error) {
	{
		var zb0001 uint8
		zb0001, err = dc.ReadUint8()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = ChecksumAlgo(zb0001)
	}
	return
}

// EncodeMsg implements msgp.Encodable

	destObj := object
	if az.Prefix != "" {
		destObj = fmt.Sprintf("%s/%s", az.Prefix, object)
	}
	return destObj
}

func (az *warmBackendAzure) PutWithMeta(ctx context.Context, object string, r io.Reader, length int64, meta map[string]string) (remoteVersionID, error) {
	azMeta := map[string]*string{}
	for k, v := range meta {
		azMeta[k] = to.Ptr(v)
	}

package jstream

import (
	"bytes"
	"testing"
)

func mkReader(s string) *bytes.Reader { return bytes.NewReader([]byte(s)) }

func TestDecoderSimple(t *testing.T) {
	var (
		counter int
		mv      *MetaValue
		body    = `[{"bio":"bada bing bada boom","id":1,"name":"Charles","falseVal":false}]`
	)

	decoder := NewDecoder(mkReader(body), 1)

	for mv = range decoder.Stream() {
		counter++