override fun doExecute(bufferedWriter: BufferedWriter) {
                val packages = Implementation(excludes.get(), includes.get()).collectPackages(classpath.files.map(File::toPath))
                packages.dump(false, object : ErroringAction<String>() {
                    @Throws(Exception::class)
                    override fun doExecute(s: String) {
                        bufferedWriter.write(s)

                    exitCode = e.getExitCode();
                    exception = e;
                } catch (Exception e) {
                    exception = e;
                }

                // dump things out
                System.out.println("===================================================");
                System.out.println("args: " + Arrays.toString(mvnArgs.toArray()));

        )
    return tiers


def update_content(*, content_path: Path, new_content: Any) -> bool:
    old_content = content_path.read_text(encoding="utf-8")

    new_content = yaml.dump(new_content, sort_keys=False, width=200, allow_unicode=True)
    if old_content == new_content:
        logging.info(f"The content hasn't changed for {content_path}")
        return False

            }
    return users


def update_content(*, content_path: Path, new_content: Any) -> bool:
    old_content = content_path.read_text(encoding="utf-8")

    new_content = yaml.dump(new_content, sort_keys=False, width=200, allow_unicode=True)
    if old_content == new_content:
        logging.info(f"The content hasn't changed for {content_path}")
        return False

                nonTransitiveDependencyScopes));
        return result;
    }

    // ===

    public static void main(String... args) {
        ScopeManagerDump.dump(Maven4ScopeManagerConfiguration.INSTANCE);
    }

      output_tensors, output_names_vec, control_output_nodes,
      control_output_names_vec, description, &fdef);
  if (TF_GetCode(status) != TF_OK) {
    return nullptr;
  }

  // Dump the op creation stacktraces for debugging purpose.
  DEBUG_DATA_DUMPER()->DumpOpCreationStackTraces(
      fn_name, kDebugGroupOpStacktrace, "initial", &fn_body->graph);

  tensorflow::StackTracesMap stack_traces;

	"time"
)

func bytediff(a, b []byte) string {
	const (
		uniqueA  = "-  "
		uniqueB  = "+  "
		identity = "   "
	)
	var ss []string
	sa := strings.Split(strings.TrimSpace(hex.Dump(a)), "\n")
	sb := strings.Split(strings.TrimSpace(hex.Dump(b)), "\n")
	for len(sa) > 0 && len(sb) > 0 {
		if sa[0] == sb[0] {
			ss = append(ss, identity+sa[0])
		} else {
			ss = append(ss, uniqueA+sa[0])
			ss = append(ss, uniqueB+sb[0])
		}

    if old_config != updated_config:
        print("docs/en/mkdocs.yml outdated")
        print("Updating docs/en/mkdocs.yml")
        en_config_path.write_text(
            yaml.dump(updated_config, sort_keys=False, width=200, allow_unicode=True),
            encoding="utf-8",
        )
        raise typer.Exit(1)
    print("docs/en/mkdocs.yml is up to date ✅")


@app.command()

   * output array, and may, under certain circumstances, be used to save allocation costs.
   *
   * <p>Suppose {@code x} is a queue known to contain only strings. The following code can be used
   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>
   *     String[] y = x.toArray(new String[0]);</pre>
   *

   * output array, and may, under certain circumstances, be used to save allocation costs.
   *
   * <p>Suppose {@code x} is a queue known to contain only strings. The following code can be used
   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>
   *     String[] y = x.toArray(new String[0]);</pre>
   *