you executed, whether you're nervous or not.'

  `I'm a poor man, your Majesty,' the Hatter began, in a
trembling voice, `--and I hadn't begun my tea--not above a week
or so--and what with the bread-and-butter getting so thin--and
the twinkling of the tea--'

  `The twinkling of the what?' said the King.

  `It began with the tea,' the Hatter replied.

  `Of course twinkling begins with a T!' said the King sharply.

you executed, whether you're nervous or not.'

  `I'm a poor man, your Majesty,' the Hatter began, in a
trembling voice, `--and I hadn't begun my tea--not above a week
or so--and what with the bread-and-butter getting so thin--and
the twinkling of the tea--'

  `The twinkling of the what?' said the King.

  `It began with the tea,' the Hatter replied.

  `Of course twinkling begins with a T!' said the King sharply.

a smooth white Body, and that Body was removed farther and farther from the Hair, the first Fringe began to appear and look brighter than the rest of the Light at the distance of less than a quarter of an Inch from the Hair, and the dark Line or Shadow between that and the second Fringe began to appear at a less distance from the Hair than that of the third part of an Inch. The second Fringe began to appear at a distance from the Hair of less than half an Inch, and the Shadow between that and the...

	return strings.Join(name.Country, ",") + "/" + strings.Join(name.Organization, ",") + "/" + strings.Join(name.OrganizationalUnit, ",") + "/" + name.CommonName
}

const gtsIntermediate = `-----BEGIN CERTIFICATE-----
MIIFljCCA36gAwIBAgINAgO8U1lrNMcY9QFQZjANBgkqhkiG9w0BAQsFADBHMQsw
CQYDVQQGEwJVUzEiMCAGA1UEChMZR29vZ2xlIFRydXN0IFNlcnZpY2VzIExMQzEU
MBIGA1UEAxMLR1RTIFJvb3QgUjEwHhcNMjAwODEzMDAwMDQyWhcNMjcwOTMwMDAw

  virtual ~CartesianProductGenerator10() {}

  virtual ParamIteratorInterface<ParamType>* Begin() const {
    return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_,
        g3_.begin(), g4_, g4_.begin(), g5_, g5_.begin(), g6_, g6_.begin(), g7_,
        g7_.begin(), g8_, g8_.begin(), g9_, g9_.begin(), g10_, g10_.begin());
  }
  virtual ParamIteratorInterface<ParamType>* End() const {

// Verifies that:
//
// - operands begin and size are 1D with the same number of elements.
// - if the input is a ranked tensor, the rank of the input equals the number
//   of elements in operands begin and size.
// - if begin are constants, that
//   0 <= begin[i] <= begin[i] + size[i] <= input_ty.getShape()[i]
//   and
//   size[i] == output_ty.getShape()[i]

  virtual ~CartesianProductGenerator10() {}

  virtual ParamIteratorInterface<ParamType>* Begin() const {
    return new Iterator(this, g1_, g1_.begin(), g2_, g2_.begin(), g3_,
        g3_.begin(), g4_, g4_.begin(), g5_, g5_.begin(), g6_, g6_.begin(), g7_,
        g7_.begin(), g8_, g8_.begin(), g9_, g9_.begin(), g10_, g10_.begin());
  }
  virtual ParamIteratorInterface<ParamType>* End() const {

    std::copy(std::begin(params_type.getShape()) + axis_i + 1,
              std::end(params_type.getShape()),
              std::begin(shape) + axis_i + indices_rank - batch_dims_i);

    // Copy indices.shape into params.shape[axis]
    std::copy(std::begin(indices_type.getShape()) + batch_dims_i,
              std::end(indices_type.getShape()), std::begin(shape) + axis_i);
  }

// Returns true if we can eliminate the SliceOp. When the values of `begin` are
// all 0s and `size[i]` is equal to either -1 or `input.shape[i]`
// for each dim i, the output tensor is identical to `input`.
bool CanOptimizeIdentitySliceOp(Value input, Attribute begin, Attribute size) {
  // Checks if `begin` and `size` are i32 or i64.
  auto begin_attr = mlir::dyn_cast<DenseIntElementsAttr>(begin);
  auto size_attr = mlir::dyn_cast<DenseIntElementsAttr>(size);

  std::vector<int64_t> update_window_dims_vec(update_window_dims_mlir.begin(),
                                              update_window_dims_mlir.end());
  std::vector<int64_t> inserted_window_dims_vec(
      inserted_window_dims_mlir.begin(), inserted_window_dims_mlir.end());
  std::vector<int64_t> scatter_dims_to_operand_dims_vec(
      scatter_dims_to_operand_dims_mlir.begin(),
      scatter_dims_to_operand_dims_mlir.end());