}

	rparen := p.expect(token.RPAREN)
	params = &ast.FieldList{Opening: opening, List: fields, Closing: rparen}

	return
}

func (p *parser) parseResult() *ast.FieldList {
	if p.trace {
		defer un(trace(p, "Result"))
	}

	if p.tok == token.LPAREN {
		_, results := p.parseParameters(false)
		return results
	}

        this.moduleIdentifierFactory = moduleIdentifierFactory;
        this.metadataFactory = metadataFactory;
    }

    @Override
    protected ParseResult<MutableIvyModuleResolveMetadata> doParseDescriptor(DescriptorParseContext parseContext, LocallyAvailableExternalResource resource, boolean validate) throws IOException, ParseException {

	if p.tok != token.RPAREN {
		params = p.parseParameterList(scope, ellipsisOk)
	}
	rparen := p.expect(token.RPAREN)

	return &ast.FieldList{lparen, params, rparen}
}

func (p *parser) parseResult(scope *ast.Scope) *ast.FieldList {
	if p.trace {
		defer un(trace(p, "Result"))
	}

	if p.tok == token.LPAREN {
		return p.parseParameters(scope, false)
	}

	typ := p.tryType()
	if typ != nil {

      tensorflow::Flag("test_model_file", &model_file,
                       "Path to test tflite model file."),
  };

  const bool parse_result = tensorflow::Flags::Parse(&argc, argv, flag_list);
  if (!parse_result) {
    std::cerr << "Required test_model_file\n";
    std::abort();
  }
  g_test_model_dir =
      new tensorflow::string(tensorflow::io::Dirname(model_file));