}
      return false;
    }

    @Override
    public int hashCode() {
      return Arrays.hashCode(functions);
    }
  }

  /**
   * Linear CongruentialGenerator to use for consistent hashing. See
   * http://en.wikipedia.org/wiki/Linear_congruential_generator
   */
  private static final class LinearCongruentialGenerator {
    private long state;

//
// Variable and function names, as well as code layout, are selected to
// facilitate reviewing the implementation against the NIST FIPS 203 ipd
// document.
//
// Reviewers unfamiliar with polynomials or linear algebra might find the
// background at https://words.filippo.io/kyber-math/ useful.

import (
	"crypto/rand"
	"crypto/subtle"
	"errors"
	"internal/byteorder"

	"golang.org/x/crypto/sha3"
)

union QuantizationDetails {
  CustomQuantization,
}

// Parameters for converting a quantized tensor back to float.
table QuantizationParameters {
  // These four parameters are the asymmetric linear quantization parameters.
  // Given a quantized value q, the corresponding float value f should be:
  //   f = scale * (q - zero_point)
  // For other quantization types, the QuantizationDetails below is used.

	// doublings, and switch to square-and-double once the exponent is large
	// enough to justify the cost of the multiplications.

	// The threshold is selected experimentally as a linear function of n.
	threshold := n / 4

	// We calculate how many of the most-significant bits of the exponent we can
	// compute before crossing the threshold, and we do it with doublings.
	i := bits.UintSize

// (100 by default). If GOGC=100 and we're using 4M, we'll GC again when we get to 8M
// (this mark is computed by the gcController.heapGoal method). This keeps the GC cost in
// linear proportion to the allocation cost. Adjusting GOGC just changes the linear constant
// (and also the amount of extra memory used).

// Oblets
//
// In order to prevent long pauses while scanning large objects and to

	// iOS versions.
	// TODO(mknyszek): Once iOS <14 is deprecated, promote ios/arm64
	// to a 48-bit address space like every other arm64 platform.
	//
	// WebAssembly currently has a limit of 4GB linear memory.
	heapAddrBits = (_64bit*(1-goarch.IsWasm)*(1-goos.IsIos*goarch.IsArm64))*48 + (1-_64bit+goarch.IsWasm)*(32-(goarch.IsMips+goarch.IsMipsle)) + 40*goos.IsIos*goarch.IsArm64

      return entry2.getCount() - entry1.getCount(); // subtracting two nonnegative integers
    }
  }

  /**
   * An {@link AbstractMultiset} with additional default implementations, some of them linear-time
   * implementations in terms of {@code elementSet} and {@code entrySet}.
   */
  private abstract static class ViewMultiset<E extends @Nullable Object>
      extends AbstractMultiset<E> {
    @Override

    It significantly reduces the peak memory required and latency incurred
    during restore.
*   Added a new library for library of matrix-free (iterative) solvers for
    linear equations, linear least-squares, eigenvalues and singular values in
    tensorflow/contrib/solvers. Initial version has lanczos bidiagonalization,
    conjugate gradients and CGLS.

        if (topMetaIterator == null) {
          return false;
        }

        iterator = topMetaIterator.next();

        if (iterator instanceof ConcatenatedIterator) {
          // Instead of taking linear time in the number of nested concatenations, unpack
          // them into the queue
          @SuppressWarnings("unchecked")
          ConcatenatedIterator<T> topConcat = (ConcatenatedIterator<T>) iterator;

        if (topMetaIterator == null) {
          return false;
        }

        iterator = topMetaIterator.next();

        if (iterator instanceof ConcatenatedIterator) {
          // Instead of taking linear time in the number of nested concatenations, unpack
          // them into the queue
          @SuppressWarnings("unchecked")
          ConcatenatedIterator<T> topConcat = (ConcatenatedIterator<T>) iterator;