func quotToFloat32(a, b nat) (f float32, exact bool) {
	const (
		// float size in bits
		Fsize = 32

		// mantissa
		Msize  = 23
		Msize1 = Msize + 1 // incl. implicit 1
		Msize2 = Msize1 + 1

		// exponent
		Esize = Fsize - Msize1
		Ebias = 1<<(Esize-1) - 1
		Emin  = 1 - Ebias
		Emax  = Ebias
	)

	// TODO(adonovan): specialize common degenerate cases: 1.0, integers.

		return missing(fmt.Errorf("decoding output ID: %v", err))
	}
	i := 0
	for i < len(esize) && esize[i] == ' ' {
		i++
	}
	size, err := strconv.ParseInt(string(esize[i:]), 10, 64)
	if err != nil {
		return missing(fmt.Errorf("parsing size: %v", err))
	} else if size < 0 {
		return missing(errors.New("negative size"))
	}
	i = 0
	for i < len(etime) && etime[i] == ' ' {
		i++
	}

                do {
                    long ooff = 0;
                    while ( ooff < size ) {
                        long wsize = size - ooff;
                        if ( wsize > byteLimit ) {
                            wsize = byteLimit;
                        }

                        int chunks = (int) ( wsize / maxChunkSize );
                        int lastChunkSize;

		intRegs += uint64(typ.intRegs)
		floatRegs += uint64(typ.floatRegs)
	}

	// Final size includes trailing padding.
	size = RoundUp(size, int64(maxAlign))

	if intRegs > math.MaxUint8 || floatRegs > math.MaxUint8 {
		intRegs = math.MaxUint8
		floatRegs = math.MaxUint8
	}

	t.width = size
	t.align = maxAlign
	t.intRegs = uint8(intRegs)
	t.floatRegs = uint8(floatRegs)

		fsize := size + size&1
		if fsize < 0 || fsize < size {
			return errCorruptArchive
		}
		switch name {
		case "__.PKGDEF":
			r.a.Entries = append(r.a.Entries, Entry{
				Name:  name,
				Type:  EntryPkgDef,
				Mtime: mtime,
				Uid:   uid,
				Gid:   gid,
				Mode:  mode,
				Data:  Data{r.offset, size},
			})
			r.skip(size)
		case "preferlinkext", "dynimportfail":
			if size == 0 {

  string data_format;
  string padding;
  std::vector<int32> strides;
  std::vector<int32> ksize;
  auto attrs = op.output(0).node()->attrs();
  TF_RETURN_IF_ERROR(GetNodeAttr(attrs, "data_format", &data_format));
  TF_RETURN_IF_ERROR(GetNodeAttr(attrs, "ksize", &ksize));
  TF_RETURN_IF_ERROR(GetNodeAttr(attrs, "padding", &padding));
  TF_RETURN_IF_ERROR(GetNodeAttr(attrs, "strides", &strides));

			t.Errorf("%s: inconsistent test case: got file size %d; want %d", test.filename, len(test.source), test.size)
		}

		// add file and verify name and size
		f := fset.AddFile(test.filename, fset.Base()+delta, test.size)
		if f.Name() != test.filename {
			t.Errorf("got filename %q; want %q", f.Name(), test.filename)
		}
		if f.Size() != test.size {

def LegalizeResizeBilinear : Pat<
  (TF_ResizeBilinearOp $images, $size, $align_corners, $half_pixel_centers),
  (TFL_ResizeBilinearOp $images, $size, $align_corners, $half_pixel_centers)>;
def LegalizeResizeNearestNeighbor : Pat<
  (TF_ResizeNearestNeighborOp $images, $size, $align_corners,
    $half_pixel_centers),
  (TFL_ResizeNearestNeighborOp $images, $size, $align_corners,
    $half_pixel_centers)>;

  auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape));
  // Setup window and strides so that we only do one MaxPool.
  const std::vector<int> ksize{1, 2, 2, 1};
  const std::vector<int> strides{1, 2, 2, 1};
  auto y = MaxPool(scope_, x, ksize, strides, "VALID");
  Tensor x_init_value = Tensor(DT_FLOAT, x_shape);
  SetRandomValuesForMaxPooling<float>(&x_init_value);
  RunTest(x, x_init_value, y, y_shape);
}

	n := 0
	for len(out) > 0 {
		bsize := len(out)
		if bsize > 1024 {
			bsize = 1024
		}
		err = ptrace64Ptr(PT_READ_BLOCK, int64(pid), int64(addr), bsize, unsafe.Pointer(&out[0]))
		if err != nil {
			return 0, err
		}
		addr += uintptr(bsize)
		n += bsize
		out = out[n:]
	}
	return n, nil
}