return resultError("program instantiation failed: "+err.Error(), apiservercel.ErrorTypeInternal)
	}
	return CompilationResult{
		Program:            prog,
		ExpressionAccessor: expressionAccessor,
		OutputType:         ast.OutputType(),
	}
}

func mustBuildEnvs(baseEnv *environment.EnvSet) variableDeclEnvs {
	requestType := BuildRequestType()
	namespaceType := BuildNamespaceType()

                            custom_op.getCustomCode().str());
    op_state.addOperands(custom_op.getOperands());
    llvm::SmallVector<mlir::Type, 4> output_tys;
    for (int i = 0; i < custom_op.getNumResults(); i++) {
      output_tys.push_back(custom_op.getType(i));
    }
    op_state.addTypes(output_tys);
    op_state.addAttributes(attr);
    auto stablehlo_op = builder.create(op_state);
    custom_op.replaceAllUsesWith(stablehlo_op);

}

Status ConvertToTensorProto(const ElementsAttr attr, TensorProto* output) {
  auto type = attr.getShapedType();
  auto shape = type.getShape();
  DataType output_dtype;
  TF_RETURN_IF_ERROR(ConvertToDataType(type, &output_dtype));
  output->set_dtype(output_dtype);
  ConvertToTensorShapeProto(shape, output->mutable_tensor_shape());

  if (auto tensor_attr = mlir::dyn_cast<mlir::TF::TensorProtoAttr>(attr))

                                          n->def(), &input_mtypes,
                                          &output_mtypes));
    for (const Edge* e : n->out_edges()) {
      Node* dst = e->dst();

      if (e->IsControlEdge()) {
        continue;
      }

      bool edge_incurs_extra_device_to_host_copy;
      if (output_mtypes[e->src_output()] == DEVICE_MEMORY) {
        // If the output of the *TensorFlow* operation is in DEVICE_MEMORY then

          Node* var_node;
          TF_RETURN_IF_ERROR(n->input_node(0, &var_node));
          const_def.set_name(
              graph->NewName(absl::StrCat("var_shape_", var_node->name())));
          DataType dtype = n->output_type(0);
          AddNodeAttr("dtype", dtype, &const_def);
          TensorProto value;
          value.set_dtype(dtype);
          value.mutable_tensor_shape()->add_dim()->set_size(
              shape_proto.dim_size());

      FromTocoDataTypeToTflitToTensorType(input_data_type);
  const tflite::TensorType output_type =
      FromTocoDataTypeToTflitToTensorType(output_data_type);

  std::string output_model;
  const absl::string_view input_model_buffer(buf, length);
  auto status = mlir::lite::QuantizeModel(
      input_model_buffer, input_type, output_type, inference_tensor_type,

            mlir::isa<StringAttr>(attribute) ||
            mlir::isa<FlatSymbolRefAttr>(attribute)) {
          TFRAttrType output_type = TFRAttrType::get(builder.getContext());
          attr_cst =
              builder.create<ConstOp>(op->getLoc(), output_type, attribute);
        } else {
          attr_cst = builder.create<mlir::arith::ConstantOp>(
              op->getLoc(), cast<TypedAttr>(attribute));

        ));
        DirectoryProperty reportsDir = extension.getReportsDirectory();
        reportTask.getReports().all(action(report -> {
            if (report.getOutputType().equals(Report.OutputType.DIRECTORY)) {
                ((DirectoryReport)report).getOutputLocation().convention(reportsDir.dir(reportTask.getName() + "/" + report.getName()));
            } else {

    Value lookup = func_.getArgument(1);
    Value value = func_.getArgument(0);
    auto output_type = func_.getFunctionType().getResult(0);

    OpBuilder builder(func_.getBody());
    auto op = builder.create<mlir::TFL::EmbeddingLookupOp>(
        func_.getLoc(), output_type, lookup, value);

    builder.create<mlir::func::ReturnOp>(func_.getLoc(), op.getResult());
  }

	ast, issues := ruleEnv.Compile(rule.Rule)
	if issues != nil {
		compilationResult.Error = &apiservercel.Error{Type: apiservercel.ErrorTypeInvalid, Detail: "compilation failed: " + issues.String()}
		return
	}
	if ast.OutputType() != cel.BoolType {
		compilationResult.Error = &apiservercel.Error{Type: apiservercel.ErrorTypeInvalid, Detail: "cel expression must evaluate to a bool"}
		return
	}

	checkedExpr, err := cel.AstToCheckedExpr(ast)