}

    /**
     * Retrieves all parameters associated with a specific crawling information record.
     * Results are ordered by creation time in ascending order and limited by configuration.
     *
     * @param id the unique identifier of the crawling information record
     * @return a list of CrawlingInfoParam entities associated with the specified crawling info
     */

// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED.  IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
// FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
// DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS

          exempt-issue-labels: 'override-stale'
          #Comma separated list of labels that can be assigned to PRs to exclude them from being marked as stale
          exempt-pr-labels: "override-stale"
          #Limit the No. of API calls in one run default value is 30.
          operations-per-run: 1000
          days-before-issue-stale: 7
          days-before-issue-close: 7
          stale-issue-label: "stale"

## Memory { #memory }

If you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

    InputStream bin = new ByteArrayInputStream(big);
    InputStream lin = ByteStreams.limit(bin, 2);

    IOException expected = assertThrows(IOException.class, lin::reset);
    assertThat(expected).hasMessageThat().isEqualTo("Mark not set");
  }

  public void testLimit_markNotSupported() {
    InputStream lin = ByteStreams.limit(new UnmarkableInputStream(), 2);

Utilizar `UploadFile` tem várias vantagens sobre `bytes`:

* Você não precisa utilizar o `File()` no valor padrão do parâmetro.
* Ele utiliza um arquivo "spooled":
    * Um arquivo armazenado na memória até um limite máximo de tamanho, e após passar esse limite, ele será armazenado no disco.
* Isso significa que funcionará bem para arquivos grandes como imagens, vídeos, binários grandes, etc., sem consumir toda a memória.
* Você pode receber metadados do arquivo enviado.

    }

    /**
     * Retrieves a list of documents that match the specified query.
     * This method handles large result sets by using scroll search when necessary
     * and enforces maximum document size limits.
     *
     * @param searchEngineClient the search engine client to use for retrieval
     * @param queryBuilder the query to match documents
     * @param fields the fields to include in the response (null for all fields)

      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3
        if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
        with:
          limit-access-to-actor: true
        env:
          GITHUB_TOKEN: ${{ secrets.FASTAPI_PR_TOKEN }}
      - name: FastAPI People Contributors
        run: uv run ./scripts/contributors.py
        env:

      - name: Setup tmate session
        uses: mxschmitt/action-tmate@v3
        if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
        with:
          limit-access-to-actor: true
      - name: FastAPI People Sponsors
        run: uv run ./scripts/sponsors.py
        env:
          SPONSORS_TOKEN: ${{ secrets.SPONSORS_TOKEN }}

		{Name: "LimitUser6", Age: 20},
	}

	DB.Create(&users)

	var users1, users2, users3 []User
	DB.Order("age desc").Limit(3).Find(&users1).Limit(5).Find(&users2).Limit(-1).Find(&users3)

	if len(users1) != 3 || len(users2) != 5 || len(users3) <= 5 {
		t.Errorf("Limit should works, users1 %v users2 %v users3 %v", len(users1), len(users2), len(users3))
	}
}

func TestOffset(t *testing.T) {