MOVD	F4, result+16(FP)	// 6460c02b
	MOVF	F4, 1(F5)		// a404402b
	MOVD	F4, 1(F5)		// a404c02b
	MOVW	R4, F5			// 85a41401
	MOVW	F4, R5			// 85b41401
	MOVV	R4, F5			// 85a81401
	MOVV	F4, R5			// 85b81401
	WORD	$74565			// 45230100
	BREAK				// 00002a00
	UNDEF				// 00002a00

	ANDN	R4, R5, R6		// a6901600
	ANDN	R4, R5			// a5901600
	ORN	R4, R5, R6		// a6101600
	ORN	R4, R5			// a5101600

	// mul

   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,
    // using variant of single-word Wang/Jenkins hash.
    // TODO(kevinb): use Hashing/move this to Hashing?
    h += (h << 15) ^ 0xffffcd7d;
    h ^= h >>> 10;
    h += h << 3;
    h ^= h >>> 6;
    h += (h << 2) + (h << 14);

Y := T[i] * m.m0inv c2 := addMulVVW2048(&T[i], &mLimbs[0], Y) T[n+i], c = bits.Add(c1, c2, c) } copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) } return x } // addMulVVW multiplies the multi-word value x by the single-word value y, // adding the result to the multi-word value z and returning the final carry. // It can be thought of as one row of a pen-and-paper column multiplication. // //go:norace func addMulVVW(z, x []uint, y uint) (carry uint) { _ = x[len(z)-1] // bounds check...

Emoji","Segoe UI Emoji","Segoe UI Symbol";font-style:normal;font-weight:400;line-height:1.5;text-align:left;text-align:start;text-decoration:none;text-shadow:none;text-transform:none;letter-spacing:normal;word-break:normal;word-spacing:normal;white-space:normal;line-break:auto;font-size:.875rem;word-wrap:break-word;opacity:0}.tooltip.show{opacity:.9}.tooltip .arrow{position:absolute;display:block;width:.8rem;height:.4rem}.tooltip .arrow::before{position:absolute;content:"";border-color:transparent;border-s...

   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,
    // using variant of single-word Wang/Jenkins hash.
    // TODO(kevinb): use Hashing/move this to Hashing?
    h += (h << 15) ^ 0xffffcd7d;
    h ^= h >>> 10;
    h += h << 3;
    h ^= h >>> 6;
    h += (h << 2) + (h << 14);

Y := T[i] * m.m0inv c2 := addMulVVW2048(&T[i], &mLimbs[0], Y) T[n+i], c = bits.Add(c1, c2, c) } copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) } return x } // addMulVVW multiplies the multi-word value x by the single-word value y, // adding the result to the multi-word value z and returning the final carry. // It can be thought of as one row of a pen-and-paper column multiplication. // //go:norace func addMulVVW(z, x []uint, y uint) (carry uint) { _ = x[len(z)-1] // bounds check...

   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,
    // using variant of single-word Wang/Jenkins hash.
    // TODO(kevinb): use Hashing/move this to Hashing?
    h += (h << 15) ^ 0xffffcd7d;
    h ^= h >>> 10;
    h += h << 3;
    h ^= h >>> 6;
    h += (h << 2) + (h << 14);

    *   Added `warmstart_embedding_matrix` to `tf.keras.utils`.
        This utility can be used to warmstart an embeddings matrix so you
        reuse previously-learned word embeddings when working with a new set
        of words which may include previously unseen words (the embedding
        vectors for unseen words will be randomly initialized).

*   `tf.Variable`:

* The deprecated –mode switch for GCE has been removed.([#61203](https://github.com/kubernetes/kubernetes/pull/61203))

* The word “manifest” has been expunged from the Kubelet API. ([#60314](https://github.com/kubernetes/kubernetes/pull/60314))

pkg math/big, method (*Int) Binomial(int64, int64) *Int
pkg math/big, method (*Int) Bit(int) uint
pkg math/big, method (*Int) BitLen() int
pkg math/big, method (*Int) Bits() []Word
pkg math/big, method (*Int) Bytes() []uint8
pkg math/big, method (*Int) Cmp(*Int) int
pkg math/big, method (*Int) Div(*Int, *Int) *Int
pkg math/big, method (*Int) DivMod(*Int, *Int, *Int) (*Int, *Int)