Translate to Spanish (español).

Use the informal grammar (use "tú" instead of "usted").

For instructions or titles in imperative, keep them in imperative, for example "Edit it" to "Edítalo".

---

For the next terms, use the following translations:

* framework: framework (do not translate to "marco")
* performance: rendimiento
* program (verb): programar
* code (verb): programar
* type hints: anotaciones de tipos

	ORW	-1(R1), R2            // e3201fffff56
	XOR	(R1), R2              // e32010000082
	XORW	(R1), R2              // 57201000
	XORW	-1(R1), R2            // e3201fffff57

	// shift and rotate instructions
	SRD	$4, R4, R7              // eb740004000c
	SRD	R1, R4, R7              // eb741000000c
	SRW	$4, R4, R7              // eb74000400de
	SRW	R1, R4, R7              // eb74100000de

```

Read more about `docker service` [here](https://docs.docker.com/engine/swarm/how-swarm-mode-works/services/)

#### MinIO Custom Access and Secret Key files

To use other secret names follow the instructions above and replace `access_key` and `secret_key` with your custom names (e.g. `my_secret_key`,`my_custom_key`). Run your service with

```
docker service create --name="minio-service" \
  --secret="my_access_key" \

					i++
				}
				continue
			}
			buf = append(buf, c)
		}

		f := strings.Fields(string(buf))

		// Turn relative (PC) into absolute (PC) automatically,
		// so that most branch instructions don't need comments
		// giving the absolute form.
		if len(f) > 0 && strings.Contains(printed, "(PC)") {
			index := len(f) - 1
			suf := "(PC)"
			for !strings.HasSuffix(f[index], suf) {
				index--

        }

        if (tlsVersions.contains(TLS_1_3)) {
          println("TLSv1.3 requires an external command run before first traffic is sent")
          println("Follow instructions at https://github.com/neykov/extract-tls-secrets for TLSv1.3")
          println("Pid: ${ProcessHandle.current().pid()}")

          Thread.sleep(10000)
        }
      }
      CommandLine -> {

		if !ok {
			break
		}
		scratch = operands

		if p.pseudo(word, operands) {
			continue
		}
		i, present := p.arch.Instructions[word]
		if present {
			p.instruction(i, word, cond, operands)
			continue
		}
		p.errorf("unrecognized instruction %q", word)
	}
	if p.errorCount > 0 {
		return nil, false
	}
	p.patch()
	return p.firstProg, true
}

     * forms are equivalent (though not necessarily minimal, though we hope this
     * to be the case). Thus, this test is more of a regression test.
     *
     * Rough instructions to regenerate the test outputs and verify correctness:
     * - Temporarily change this test:
     * --- Comment out assertEquals.
     * --- System.out.println(input + " " + simplifyPath(input));

called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:

 * <ul>
 *   <li><strong>Whitespace Preservation</strong>: Maintains original formatting when removing elements</li>
 *   <li><strong>Comment Preservation</strong>: Preserves XML comments and processing instructions</li>
 *   <li><strong>Line Separator Handling</strong>: Uses system-appropriate line separators</li>
 * </ul>
 */
public abstract class AbstractUpgradeGoal implements Goal {

    "newsletter.md",
    "management-tasks.md",
    "management.md",
    "contributing.md",
)


general_prompt = """
### About literal text in this prompt