import org.jetbrains.kotlin.psi.KtAnnotated
import org.jetbrains.kotlin.psi.KtElement

/**
 * A service to match declarations with their annotations and vice versa.
 *
 * N.B. This service can produce both false positives and false negatives from time to time, since it might not be allowed to use
 * full-blown resolve to understand the true FqName of used annotation.
 *
 * The next statement should be `true` for any `annotation`:
 * ```

      positive[i] = randomPositiveBigInteger(Integer.SIZE - 1).intValue();
      nonnegative[i] = randomNonNegativeBigInteger(Integer.SIZE - 1).intValue();
      ints[i] = RANDOM_SOURCE.nextInt();
    }
  }

  @Benchmark
  int pow(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += IntMath.pow(positive[j], exponent[j]);
    }
    return tmp;

  RoundingMode mode;

  private static final long[] positive = new long[ARRAY_SIZE];
  private static final long[] nonzero = new long[ARRAY_SIZE];
  private static final long[] longs = new long[ARRAY_SIZE];

  @BeforeExperiment
  void setUp() {
    for (int i = 0; i < ARRAY_SIZE; i++) {
      positive[i] = randomPositiveBigInteger(Long.SIZE - 2).longValue();

 * @author Louis Wasserman
 */
public class IntMathRoundingBenchmark {
  private static final int[] positive = new int[ARRAY_SIZE];
  private static final int[] nonzero = new int[ARRAY_SIZE];
  private static final int[] ints = new int[ARRAY_SIZE];

  @BeforeExperiment
  void setUp() {
    for (int i = 0; i < ARRAY_SIZE; i++) {
      positive[i] = randomPositiveBigInteger(Integer.SIZE - 2).intValue();

  /**
   * @param c the number of compression rounds (must be positive)
   * @param d the number of finalization rounds (must be positive)
   * @param k0 the first half of the key
   * @param k1 the second half of the key
   */
  SipHashFunction(int c, int d, long k0, long k1) {
    checkArgument(
        c > 0, "The number of SipRound iterations (c=%s) during Compression must be positive.", c);
    checkArgument(

  /**
   * @param c the number of compression rounds (must be positive)
   * @param d the number of finalization rounds (must be positive)
   * @param k0 the first half of the key
   * @param k1 the second half of the key
   */
  SipHashFunction(int c, int d, long k0, long k1) {
    checkArgument(
        c > 0, "The number of SipRound iterations (c=%s) during Compression must be positive.", c);
    checkArgument(

		expectedErr      error
		opts             PolicyOptions
	}{
		{
			name: "positive test 1 node",
			topology: []cadvisorapi.Node{
				{
					Id: 0,
				},
			},
			expectedNUMAInfo: &NUMAInfo{
				Nodes: []int{0},
				NUMADistances: NUMADistances{
					0: nil,
				},
			},
			opts: PolicyOptions{},
		},
		{
			name: "positive test 1 node, with PreferClosestNUMA",
			topology: []cadvisorapi.Node{
				{

   * @param expectedInsertions the number of expected insertions to the constructed {@code
   *     BloomFilter}; must be positive
   * @param fpp the desired false positive probability (must be positive and less than 1.0)
   * @return a {@code BloomFilter}
   */
  public static <T extends @Nullable Object> BloomFilter<T> create(

     */
    void writeLong(long value) throws IOException;

    /**
     * Writes a signed 64 bit long value whose value is likely to be small and positive but may not be. The implementation may encode the value in a way that is more efficient for small positive
     * values.
     */
    void writeSmallLong(long value) throws IOException;

    /**

partial order.  Positive NaNs are greater than positive
infinity. Negative NaNs are less than negative infinity. NaNs with
distinct payloads are treated as distinct. Subnormal numbers are
preserved (not flushed to zero). Positive infinity is greater than all
numbers. Negative infinity is less than all numbers. Positive is
greater than negative zero. There are less than k values greater than