// 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

// (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

      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.

				res = sect.baseaddr + off - sect.vaddr
				break
			}
		}
		if res > md.etext && GOARCH != "wasm" { // on wasm, functions do not live in the same address space as the linear memory
			println("runtime: textAddr", hex(res), "out of range", hex(md.text), "-", hex(md.etext))
			throw("runtime: text offset out of range")
		}
	}
	return res
}

        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;

	}
}

// patIndex returns the index of name in the list of named wildcards of the
// request's pattern, or -1 if there is no such name.
func (r *Request) patIndex(name string) int {
	// The linear search seems expensive compared to a map, but just creating the map
	// takes a lot of time, and most patterns will just have a couple of wildcards.
	if r.pat == nil {
		return -1
	}
	i := 0

	chunks     []atomicScavChunkData
	min, max   atomic.Uintptr
	minHeapIdx atomic.Uintptr

	// searchAddr* is the maximum address (in the offset address space, so we have a linear
	// view of the address space; see mranges.go:offAddr) containing memory available to
	// scavenge. It is a hint to the find operation to avoid O(n^2) behavior in repeated lookups.
	//

	}

	// Add space at the end.
	// Will have -1 modtime, so it will be inserted there.
	x.versions = append(x.versions, xlMetaV2ShallowVersion{header: xlMetaV2VersionHeader{ModTime: -1}})

	// Linear search, we likely have to insert at front.
	for i, existing := range x.versions {
		if existing.header.ModTime <= modTime {
			// Insert at current idx. First move current back.
			copy(x.versions[i+1:], x.versions[i:])