final Supplier<Integer> nonThreadSafe =
        new Supplier<Integer>() {
          int counter = 0;

          @Override
          public Integer get() {
            int nextValue = counter + 1;
            Thread.yield();
            counter = nextValue;
            return counter;
          }
        };

    final int numThreads = 10;
    final int iterations = 1000;

    final Supplier<Integer> nonThreadSafe =
        new Supplier<Integer>() {
          int counter = 0;

          @Override
          public Integer get() {
            int nextValue = counter + 1;
            Thread.yield();
            counter = nextValue;
            return counter;
          }
        };

    final int numThreads = 10;
    final int iterations = 1000;

# General - How To - Recipes

Here are several pointers to other places in the docs, for general or frequent questions.

## Filter Data - Security

To ensure that you don't return more data than you should, read the docs for [Tutorial - Response Model - Return Type](../tutorial/response-model.md){.internal-link target=_blank}.

## Documentation Tags - OpenAPI

        }
        long size = spliterator.getExactSizeIfKnown();
        long[] counter = {0};
        spliterator.forEachRemaining(
            e -> {
              consumer.accept(e);
              counter[0]++;
            });
        if (size >= 0) {
          assertEquals(size, counter[0]);
        }
      }
    },
    ALTERNATE_ADVANCE_AND_SPLIT {
      @Override

        }
        long size = spliterator.getExactSizeIfKnown();
        long[] counter = {0};
        spliterator.forEachRemaining(
            e -> {
              consumer.accept(e);
              counter[0]++;
            });
        if (size >= 0) {
          assertEquals(size, counter[0]);
        }
      }
    },
    ALTERNATE_ADVANCE_AND_SPLIT {
      @Override

While waiting and talking to your crush, from time to time, you check the number displayed on the counter to see if it's your turn already.

Then at some point, it finally is your turn. You go to the counter, get your burgers and come back to the table.

<img src="/img/async/concurrent-burgers/concurrent-burgers-06.png" class="illustration">

	}

	// Do we have enough data?
	if int64(getDataBlockLen(enBlocks, dataBlocks)) < length {
		return 0, reedsolomon.ErrShortData
	}

	// Counter to decrement total left to write.
	write := length

	// Counter to increment total written.
	var totalWritten int64

	// Write all data blocks to dst.
	for _, block := range enBlocks[:dataBlocks] {
		// Skip blocks until we have reached our offset.

#include "tensorflow/c/eager/tfe_monitoring_reader_internal.h"

template <typename... LabelType>
int64_t TFE_MonitoringCounterReader::Read(const LabelType&... labels) {
  return counter->Read(labels...);
}

TFE_MonitoringCounterReader* TFE_MonitoringNewCounterReader(const char* name) {
  auto* result = new TFE_MonitoringCounterReader(name);

  return result;
}

changed to not return an error when the specified target can be detected as not a mount point. On Linux, the behavior of detecting a mount point depends on `umount` command is validated when the mounter is created. Additionally, mount point checks will be skipped in CleanupMountPoint/CleanupMountWithForce if the mounter's Unmount having the changed behavior of not returning error when target is not a mount point. ([#109676](https://github.com/kubernetes/kubernetes/pull/109676), [@cartermckinnon](h...

  private WorkerRunningState workerRunningState = IDLE;

  /**
   * This counter prevents an ABA issue where a thread may successfully schedule the worker, the
   * worker runs and exhausts the queue, another thread enqueues a task and fails to schedule the
   * worker, and then the first thread's call to delegate.execute() returns. Without this counter,
   * it would observe the QUEUING state and set it to QUEUED, and the worker would never be