# Arquivo de teste de LLM { #llm-test-file }

Este documento testa se o <abbr title="Large Language Model – Modelo de Linguagem de Grande Porte">LLM</abbr>, que traduz a documentação, entende o `general_prompt` em `scripts/translate.py` e o prompt específico do idioma em `docs/{language code}/llm-prompt.md`. O prompt específico do idioma é anexado ao `general_prompt`.

Os testes adicionados aqui serão vistos por todos os autores dos prompts específicos de idioma.

type int int

// uint is an unsigned integer type that is at least 32 bits in size. It is a
// distinct type, however, and not an alias for, say, uint32.
type uint uint

// uintptr is an integer type that is large enough to hold the bit pattern of
// any pointer.
type uintptr uintptr

// byte is an alias for uint8 and is equivalent to uint8 in all ways. It is
// used, by convention, to distinguish byte values from 8-bit unsigned

*   Fixes an overflow producing a crash in `tf.image.resize` when size is large
    ([CVE-2021-41199](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-41199))
*   Fixes an overflow producing a crash in `tf.tile` when tiling tensor is large
    ([CVE-2021-41198](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-41198))

type largeReader struct{}

func (largeReader) Read(p []byte) (int, error) {
	return len(p) + 1, nil
}

// Test that the scanner doesn't panic and returns ErrBadReadCount
// on a reader that returns an impossibly large count of bytes read (issue 38053).
func TestLargeReader(t *testing.T) {
	scanner := NewScanner(largeReader{})
	for scanner.Scan() {
	}
	if got, want := scanner.Err(), ErrBadReadCount; got != want {

		return nil
	}
	return p.workers[h%uint64(len(p.workers))]
}

func (p *ReplicationPool) queueReplicaTask(ri ReplicateObjectInfo) {
	if p == nil {
		return
	}
	// if object is large, queue it to a static set of large workers
	if ri.Size >= int64(minLargeObjSize) {
		h := xxh3.HashString(ri.Bucket + ri.Name)
		select {
		case <-p.ctx.Done():
		case p.lrgworkers[h%uint64(len(p.lrgworkers))] <- ri:
		default:

   *
   * @param value any {@code long} value
   * @return the same value cast to {@code char} if it is in the range of the {@code char} type,
   *     {@link Character#MAX_VALUE} if it is too large, or {@link Character#MIN_VALUE} if it is too
   *     small
   */
  public static char saturatedCast(long value) {
    if (value > Character.MAX_VALUE) {
      return Character.MAX_VALUE;
    }

   *
   * @param value any {@code long} value
   * @return the same value cast to {@code short} if it is in the range of the {@code short} type,
   *     {@link Short#MAX_VALUE} if it is too large, or {@link Short#MIN_VALUE} if it is too small
   */
  public static short saturatedCast(long value) {
    if (value > Short.MAX_VALUE) {
      return Short.MAX_VALUE;
    }
    if (value < Short.MIN_VALUE) {

   *
   * @param value any {@code long} value
   * @return the same value cast to {@code short} if it is in the range of the {@code short} type,
   *     {@link Short#MAX_VALUE} if it is too large, or {@link Short#MIN_VALUE} if it is too small
   */
  public static short saturatedCast(long value) {
    if (value > Short.MAX_VALUE) {
      return Short.MAX_VALUE;
    }
    if (value < Short.MIN_VALUE) {

Download a file, print its headers, and print its response body as a string.

The `string()` method on response body is convenient and efficient for small documents. But if the response body is large (greater than 1 MiB), avoid `string()` because it will load the entire document into memory. In that case, prefer to process the body as a stream.

=== ":material-language-kotlin: Kotlin"
    ```kotlin

    }

    /**
     * Exports all crawling information parameters to CSV format.
     * The CSV output includes: SessionId, SessionCreatedTime, Key, Value, CreatedTime.
     * Uses cursor-based selection to handle large datasets efficiently.
     *
     * @param writer the Writer to output CSV data to
     */
    public void exportCsv(final Writer writer) {
        final CsvConfig cfg = new CsvConfig(',', '"', '"');