significant limb, // we can insert each limb at the least significant position, shifting all // previous limbs left by _W. This way each limb will get shifted by the // correct number of bits. We can insert at least N - 1 limbs without // overflowing m. After that, we need to reduce every time we shift. i := len(x.limbs) - 1 // For the first N - 1 limbs we can skip the actual shifting and position // them at the shifted position, which starts at min(N - 2, i). start := len(m.nat.limbs) - 2 if i <...

significant limb, // we can insert each limb at the least significant position, shifting all // previous limbs left by _W. This way each limb will get shifted by the // correct number of bits. We can insert at least N - 1 limbs without // overflowing m. After that, we need to reduce every time we shift. i := len(x.limbs) - 1 // For the first N - 1 limbs we can skip the actual shifting and position // them at the shifted position, which starts at min(N - 2, i). start := len(m.nat.limbs) - 2 if i <...

pkg go/build, type Package struct, IgnoredOtherFiles []string
pkg go/build, type Package struct, TestEmbedPatterns []string
pkg go/build, type Package struct, TestEmbedPatternPos map[string][]token.Position
pkg go/build, type Package struct, XTestEmbedPatterns []string
pkg go/build, type Package struct, XTestEmbedPatternPos map[string][]token.Position

        // Insert elements that should be positioned according to ELEMENT_ORDER
        DomUtils.insertContentElement(root, "name", "Test Project");
        DomUtils.insertContentElement(root, "description", "Test description");
        DomUtils.insertContentElement(root, "url", "https://example.com");

        String xmlOutput = DomUtils.toXml(doc);

        // Find positions of all elements

</pre>

<h4>Array and slice literals</h4>

<p>
For array and slice literals the following rules apply:
</p>
<ul>
	<li>Each element has an associated integer index marking
	    its position in the array.
	</li>
	<li>An element with a key uses the key as its index. The
	    key must be a non-negative constant
	    <a href="#Representability">representable</a> by

   * @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 Collector} generating a {@code BloomFilter} of the received elements
   * @since 33.4.0 (but since 23.0 in the JRE flavor)
   */

  private static final BigInteger[] nonzero2 = new BigInteger[ARRAY_SIZE];
  private static final BigInteger[] positive = new BigInteger[ARRAY_SIZE];

  @Param({"DOWN", "UP", "FLOOR", "CEILING", "HALF_EVEN", "HALF_UP", "HALF_DOWN"})
  RoundingMode mode;

  @BeforeExperiment
  void setUp() {
    for (int i = 0; i < ARRAY_SIZE; i++) {
      positive[i] = randomPositiveBigInteger(1024);
      nonzero1[i] = randomNonZeroBigInteger(1024);

  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();

      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();