import java.util.concurrent.atomic.AtomicBoolean;
import java.util.logging.LogRecord;
import java.util.logging.Logger;
import junit.framework.AssertionFailedError;
import junit.framework.TestCase;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Unit tests for {@link Futures}.
 *
 * @author Nishant Thakkar
 */
@ElementTypesAreNonnullByDefault
@GwtCompatible(emulated = true)

	return nil
}

// validateWeight checks if weight is valid
func validateWeight(weight int32) error {
	if weight < 0 {
		return fmt.Errorf("weight %d < 0", weight)
	}
	return nil
}

// ValidatePercent checks that percent is in range
func ValidatePercent(val int32) error {
	if val < 0 || val > 100 {

LogicalResult ParseExampleV2Op::verify() {
  ParseExampleV2Op op = *this;
  // NOTE(mrry): This validates properties of an op that would previously be
  // validated by the TensorFlow OpDef type checker. In addition to these
  // checks, the shape inference function for ParseExampleV2 validates the
  // consistency of the argument and result types.

  // Validate dense variadic input and output lengths.

import java.util.function.Function;
import java.util.function.Predicate;
import java.util.logging.Level;
import java.util.logging.Logger;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * The concurrent hash map implementation built by {@link CacheBuilder}.
 *
 * <p>This implementation is heavily derived from revision 1.96 of <a

	goto top
}

// pollWork reports whether there is non-background work this P could
// be doing. This is a fairly lightweight check to be used for
// background work loops, like idle GC. It checks a subset of the
// conditions checked by the actual scheduler.
func pollWork() bool {
	if sched.runqsize != 0 {
		return true
	}
	p := getg().m.p.ptr()
	if !runqempty(p) {
		return true
	}