How to use the argparse.Namespace function in argparse

let root_module = null;
            let state_dict = null;
            let module_source_map = {};
            try {
                let unpickler = new pickle.Unpickler(buffer);

                const signature = [ 0x6c, 0xfc, 0x9c, 0x46, 0xf9, 0x20, 0x6a, 0xa8, 0x50, 0x19 ];
                const magic_number = unpickler.load();

                let deserialized_objects = {};
                let storage = null;

                let constructorTable = {};
                let functionTable = {};

                constructorTable['argparse.Namespace'] = function (args) {
                    this.args = args;
                };
                constructorTable['torch.autograd.variable.Variable'] = function() {};
                constructorTable['torch.backends.cudnn.rnn.Unserializable'] = function() {};
                constructorTable['torch.distributions.multivariate_normal.MultivariateNormal'] = function() {};
                constructorTable['torch.nn.backends.thnn._get_thnn_function_backend'] = function() {};
                constructorTable['torch.nn.quantized.modules.functional_modules.FloatFunctional'] = function() {};
                constructorTable['torch.nn.modules.activation.ELU'] = function() {};
                constructorTable['torch.nn.modules.activation.GLU'] = function() {};
                constructorTable['torch.nn.modules.activation.Hardtanh'] = function() {};
                constructorTable['torch.nn.modules.activation.LeakyReLU'] = function() {};
                constructorTable['torch.nn.modules.activation.LogSigmoid'] = function() {};
                constructorTable['torch.nn.modules.activation.LogSoftmax'] = function() {};
                constructorTable['torch.nn.modules.activation.ReLU'] = function() {};
                constructorTable['torch.nn.modules.activation.ReLU6'] = function() {};
                constructorTable['torch.nn.modules.activation.PReLU'] = function() {};