final List<Integer> completeLengthChecks;
    final int baseStackDepth;
    ExecutorService service = Executors.newFixedThreadPool(5);
    try {
      // Avoid counting frames from the executor itself, or the ExecutionSequencer
      baseStackDepth =
          serializer
              .submit(
                  new Callable<Integer>() {
                    @Override

    final List<Integer> completeLengthChecks;
    final int baseStackDepth;
    ExecutorService service = Executors.newFixedThreadPool(5);
    try {
      // Avoid counting frames from the executor itself, or the ExecutionSequencer
      baseStackDepth =
          serializer
              .submit(
                  new Callable<Integer>() {
                    @Override

	op := operands[next]
	if len(op) < 2 || op[0].ScanToken != '$' {
		p.errorf("TEXT %s: frame size must be an immediate constant", name)
		return
	}
	op = op[1:]
	negative := false
	if op[0].ScanToken == '-' {
		negative = true
		op = op[1:]
	}
	if len(op) == 0 || op[0].ScanToken != scanner.Int {
		p.errorf("TEXT %s: frame size must be an immediate constant", name)
		return
	}

*   Improvements to the TensorFlow debugging experience:

    *   Previously, TensorFlow error stack traces involved many internal frames,
        which could be challenging to read through, while not being actionable
        for end users. As of TF 2.7, TensorFlow filters internal frames in most
        errors that it raises, to keep stack traces short, readable, and focused
        on what's actionable for end users (their own code).

- Fixed a bug in the JSON frame reader that could cause it to retain a reference to the underlying array of the byte slice passed to read. ([#123620](https://github.com/kubernetes/kubernetes/pull/123620), [@benluddy](https://github.com/benluddy))