// example, it is easy to confuse function name -> alias mapping with alias ->
// function name mapping when both are just represented as `std::string`.
using FunctionAlias = std::string;
using FunctionName = std::string;

}  // namespace mlir::quant::stablehlo

using ::mlir::quant::stablehlo::CreateMlirContextForQuantization;
using ::mlir::quant::stablehlo::ExportOptions;
using ::mlir::quant::stablehlo::FunctionAlias;
using ::mlir::quant::stablehlo::FunctionName;
using ::mlir::quant::stablehlo::GetFunctionAliases;
using ::mlir::quant::stablehlo::kExportStepSuffix;
using ::mlir::quant::stablehlo::PostCalibrationComponent;
using ::mlir::quant::stablehlo::PreCalibrationComponent;

void OpCommentRenderer::Render() {
  if (context_.mode == RendererContext::kHeader) {
    // Add a short 1-line comment to the header files.
    CommentLine(op_.Summary());
    return;
  }

  CommentLine("Op: $0()", op_.FunctionName());
  CommentLine("Summary: $0", op_.Summary());
  CommentLine("");
  CommentLine("Description:");
  for (const auto& line : op_.Description()) {
    CommentLine("  $0", line);
  }
}

}  // namespace cpp

    const std::vector<std::string>& signature_keys,
    const std::unordered_set<std::string>& tags,
    const QuantizationConfig& quantization_config,
    absl::string_view debug_name_prefix,
    const absl::flat_hash_map<FunctionName, FunctionAlias>& function_aliases,
    MLIRContext& ctx ABSL_ATTRIBUTE_LIFETIME_BOUND, ModuleOp module_op) {
  TF_ASSIGN_OR_RETURN(const std::string checkpoint_dir, GetLocalTmpFileName());
  const ExportOptions export_opts = {

typealias ParameterNamesSupplier = (String) -> List<String>?


private
fun ParameterNamesSupplier.parameterNamesFor(typeName: String, functionName: String, parameterTypeNames: List<String>): List<String>? =
    this("$typeName.$functionName(${parameterTypeNames.joinToString(",")})")


/**
 * Provides [ApiType] instances by Kotlin source name from a class path.
 *

                   std::make_move_iterator(args_with_default_val.begin()),
                   std::make_move_iterator(args_with_default_val.end()));
  return absl::Substitute("$0 $1($2)", "Status", op_.FunctionName(),
                          absl::StrJoin(arguments, ", "));
}

OpRenderer::OpRenderer(RendererContext context, OpView op)
    : Renderer(context), op_(op), comment_(context, op) {}

void OpRenderer::Render() {

  return input_args_.front();
}

ArgView OpView::OnlyOutput() const {
  CHECK_EQ(output_args_.size(), 1);  // Crash OK
  return output_args_.front();
}

string OpView::FunctionName() const { return op_.name(); }

string OpView::OpNameString() const { return Quoted(op_.name()); }

string OpView::VariableName() const { return "op_ptr"; }

std::vector<string> OpView::Description() const {

      std::vector<std::string> signature_keys,
      std::unordered_set<std::string> tags,
      absl::flat_hash_map<std::string, tensorflow::SignatureDef>
          signature_def_map,
      absl::flat_hash_map<FunctionName, FunctionAlias> function_aliases);

  // Runs the static-range post-training quantization (PTQ) on `module_op`.
  absl::StatusOr<ModuleOp> Run(
      ModuleOp module_op,

              quantization_config.tf_saved_model().tags().end());

  std::unique_ptr<MLIRContext> ctx = CreateMlirContextForQuantization();

  absl::StatusOr<absl::flat_hash_map<FunctionName, FunctionAlias>>
      function_aliases = GetFunctionAliases(src_saved_model_path, tags);
  if (!function_aliases.ok()) {
    return absl::InternalError(absl::StrCat(

    ): List<FunctionResolutionAndBinding> {
        val receiverType = getDataType(receiver) as? DataClass
            ?: return emptyList()
        val functionName = functionCall.name
        val matchingMembers = receiverType.memberFunctions.filter { it.simpleName == functionName }
        // TODO: support optional parameters?
        // TODO: support at least minimal overload resolution?
        val args = functionCall.args