input: def optimize_code(initial_code: str) -> str:
      """Optimizes a given Python function code by converting it into an optimized version using AI.
      The input code should be a string representation of a Python function.
      >>> optimize_code("function getResult(a, b, c) { return a + b + c; }")
      "# Import the required libraries\\nfrom dataclasses import dataclass\\n\\n@dataclass\\nclass Params:\\n a: int\\n b: int\\n c: int\\n\\ndef get_result(params: Params) -> int:\\n return params.a + params.b + params.c\\n\\n# Optimize the code\\ndef optimize(fn, params):\\n best_score = 0\\n best_params = None\\n for a in range(params.a - 10, params.a + 10):\\n for b in range(params.b - 10, params.b + 10):\\n for c in range(params.c - 10, params.c + 10):\\n score = fn(Params(a, b , c))\\n if score > best_score:\\n best_score = score\\n best_params = {\\n 'a': a,\\n 'b': b,\\n 'c': c\\n }\\n return best_params\\n\\nif __name__ == '__main__':\\n params = Params(a=1, b=2, c=3)\\n best_params = optimize(get_result, params)\\n print("Optimized result: %d" % get_result(Params(best_params['a'], best_params['b'], best_params['c'])))\\n"
      """
output:     import ast
      import astor
  
      class CodeOptimizer(ast.NodeTransformer):
          def visit_FunctionDef(self, node):
              # Convert function parameters to a dataclass
              params = [ast.arg(arg=arg.arg, annotation=arg.annotation) for arg in node.args.args]
              dataclass_def = ast.parse(f"from dataclasses import dataclass\n\n@dataclass\nclass Params:\n {' '.join([f'{param.arg}: {param.annotation.id if param.annotation else 'int'}' for param in params])}")
              new_func_def = ast.FunctionDef(
                  name=node.name,
                  args=ast.arguments(
                      args=[ast.arg(arg='params', annotation=ast.Name(id='Params', ctx=ast.Load()))],
                      vararg=None, kwonlyargs=[], kw_defaults=[], kwarg=None, defaults=[]
                  ),
                  body=[ast.Return(value=ast.BinOp(
                      left=ast.Attribute(value=ast.Name(id='params', ctx=ast.Load()), attr=params[0].arg, ctx=ast.Load()),
                      op=ast.Add(),
                      right=ast.BinOp(
                          left=ast.Attribute(value=ast.Name(id='params', ctx=ast.Load()), attr=params[1].arg, ctx=ast.Load()),
                          op=ast.Add(),
                          right=ast.Attribute(value=ast.Name(id='params', ctx=ast.Load()), attr=params[2].arg, ctx=ast.Load())
                      )
                  ))],
                  decorator_list=[],
                  returns=node.returns
              )
              return [dataclass_def, new_func_def]
  
      def optimize_code(initial_code: str) -> str:
          tree = ast.parse(initial_code)
          optimizer = CodeOptimizer()
          optimized_tree = optimizer.visit(tree)
          ast.fix_missing_locations(optimized_tree)
          return astor.to_source(optimized_tree)