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 {

// Each result is either a jsonError or a list of JSONDiagnostic.
type JSONTree map[string]map[string]interface{}

// A TextEdit describes the replacement of a portion of a file.
// Start and End are zero-based half-open indices into the original byte
// sequence of the file, and New is the new text.
type JSONTextEdit struct {
	Filename string `json:"filename"`
	Start    int    `json:"start"`
	End      int    `json:"end"`

		}
	}
}

type subexpIndex struct {
	name  string
	index int
}

type subexpCase struct {
	input   string
	num     int
	names   []string
	indices []subexpIndex
}

var emptySubexpIndices = []subexpIndex{{"", -1}, {"missing", -1}}

var subexpCases = []subexpCase{
	{``, 0, nil, emptySubexpIndices},
	{`.*`, 0, nil, emptySubexpIndices},

    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

	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);

        if self.same_scale_op == 'concatenate':
          ones = array_ops.ones_like(out)
          out = array_ops.concat([out, ones], 0)
        elif self.same_scale_op == 'gather':
          out = array_ops.gather(out, indices=[0], axis=0)
        elif self.same_scale_op == 'max_pool':
          out = nn_ops.max_pool(out, ksize=3, strides=1, padding='SAME')
        elif self.same_scale_op == 'pad':
          paddings = array_ops.ones(

	s.stksize = 0
	s.stkptrsize = 0
	s.stkalign = int64(types.RegSize)
	fn := s.curfn

	// Mark the PAUTO's unused.
	for _, ln := range fn.Dcl {
		if ln.OpenDeferSlot() {
			// Open-coded defer slots have indices that were assigned
			// upfront during SSA construction, but the defer statement can
			// later get removed during deadcode elimination (#61895). To
			// keep their relative offsets correct, treat them all as used.

	clear(bz2.c[:])

	decoded := 0 // counts the number of symbols decoded by the current tree.
	for {
		if decoded == 50 {
			if selectorIndex >= numSelectors {
				return StructuralError("insufficient selector indices for number of symbols")
			}
			if int(treeIndexes[selectorIndex]) >= len(huffmanTrees) {
				return StructuralError("tree selector out of range")
			}
			currentHuffmanTree = huffmanTrees[treeIndexes[selectorIndex]]

labels.maintenance_title_configuration=Maintenance
labels.number_of_shards_for_doc=The number of shards
labels.auto_expand_replicas_for_doc=Auto expand replicas
labels.clear_crawler_index=Crawler Indices
labels.clear_crawler_index_button=Clear Crawler Indices
labels.diagnostic_logs=Diagnostic
labels.download_diagnostic_logs_button=Download Logs
labels.reload_doc_index=Reload Doc Index
labels.reload_doc_index_button=Reload