}

        /**
         * This uses an optimized version of {@link String#regionMatches(int, String, int, int)}
         * which does not check for negative indices or integer overflow.
         */
        boolean isChildOfOrThis(String filePath, int offset) {
            if (prefix.isEmpty()) {
                return true;
            }

// Within this subspace, the first arch-specific opcode should be
// at offset A_ARCHSPECIFIC.
//
// Subspaces are aligned to a power of two so opcodes can be masked
// with AMask and used as compact array indices.
const (
	ABase386 = (1 + iota) << 11
	ABaseARM
	ABaseAMD64
	ABasePPC64
	ABaseARM64
	ABaseMIPS
	ABaseLoong64
	ABaseRISCV
	ABaseS390X
	ABaseWasm

  Block &body = while_op.getBody().front();

  auto n = while_op.getNumOperands();
  if (!AllOperationSafe(cond) || !AllOperationSafe(body)) return false;

  // Find all Consumed indices.
  // i is consumed element if result(i) is used outside whileOp or
  // argument(i) is used in whileOp.getCond().
  for (auto i = 0; i < n; ++i) {
    if (!while_op.getResult(i).use_empty() ||

  // 0-indexed names, or to orchestrate progressive movement of replicas from
  // one StatefulSet to another.
  // If set, replica indices will be in the range:
  //   [.spec.ordinals.start, .spec.ordinals.start + .spec.replicas).
  // If unset, defaults to 0. Replica indices will be in the range:
  //   [0, .spec.replicas).
  // +optional
  optional int32 start = 1;
}

    ): ParameterArgumentBinding? {
        fun findParameterByName(name: String): DataParameter? = parameters.find { it.name == name }
        val lastPositionalArgIndex =
            arguments.indices.lastOrNull { arguments[it] is FunctionArgument.Positional } ?: arguments.size

        val bindingMap = mutableMapOf<DataParameter, FunctionArgument.ValueArgument>()
        arguments.forEachIndexed { argIndex, arg ->

	}
	return pod
}

func addTaintsToNode(node *corev1.Node, key, value string, indices []int) *corev1.Node {
	taints := []corev1.Taint{}
	for _, index := range indices {
		taints = append(taints, createNoExecuteTaint(index))
	}
	node.Spec.Taints = taints
	return node
}

var alwaysReady = func() bool { return true }

	tparams      *TypeParamList // local type parameters
	paramNames   bool           // if set, write function parameter names, otherwise, write types only
	tpSubscripts bool           // if set, write type parameter indices as subscripts
	pkgInfo      bool           // package-annotate first unexported-type field to avoid confusing type description
}

func newTypeWriter(buf *bytes.Buffer, qf Qualifier) *typeWriter {

	tparams      *TypeParamList // local type parameters
	paramNames   bool           // if set, write function parameter names, otherwise, write types only
	tpSubscripts bool           // if set, write type parameter indices as subscripts
	pkgInfo      bool           // package-annotate first unexported-type field to avoid confusing type description
}

func newTypeWriter(buf *bytes.Buffer, qf Qualifier) *typeWriter {

  if (lstm_func.getNumArguments() == 7) return failure();

  // We should know the batch size in advance for the lstm fusion.
  // A good indicator of batch size is both cell state and input state (indices
  // 1 & 2) have fixed shape and other input tenors should have ranked tensor
  // types.
  for (int i = 0; i < 6; ++i) {
    auto input = lstm_func.getArgument(i);

    assert(output_axis < num_dimensions);
    const int input_axis = perm[output_axis];
    for (int i = 0; i < output_shape[output_axis]; ++i) {
      // Update the input indices on `input_axis`.
      assert(input_axis < input_indices->size());
      input_indices->operator[](input_axis) = static_cast<uint64_t>(i);
      // Write the value from `input_tensor` if it is the last axis or