input: 
  def optimize_code(example_code: str) -> str:
      """Optimizes the given example code by converting it into a more structured and 
      efficient format using an AI-powered approach.
      >>> optimize_code("function getResult(a, b, c) { return a + b + c; }")
      "# Import the required libraries
  from dataclasses import dataclass
  
  @dataclass
  class Params:
      a: int
      b: int
      c: int
  
  def get_result(params: Params) -> int:
      \"\"\"Returns the sum of the three given numbers\"\"\"
      return params.a + params.b + params.c
  
  # Optimize the code
  def optimize(fn, params):
      best_score = 0
      best_params = None
      for a in range(params.a - 10, params.a + 10):
          for b in range(params.b - 10, params.b + 10):
              for c in range(params.c - 10, params.c + 10):
                  score = fn(Params(a, b , c))
                  if score > best_score:
                      best_score = score
                      best_params = {
                          'a': a,
                          'b': b,
                          'c': c
                      }
      return best_params
  
  if __name__ == '__main__':
      # Initialize the parameters
      params = Params(a=1, b=2, c=3)
      # Get the optimized params
      best_params = optimize(get_result, params)
      # Print the optimized result
      print(\"Optimized result: %d\" % get_result(Params(best_params['a'], best_params['b'], best_params['c'])))"
      """
  
output:     import re
      from dataclasses import dataclass
  
      # Extract function name and parameters
      match = re.match(r'function (\w+)\((.*?)\) {', example_code)
      if not match:
          return example_code
  
      function_name = match.group(1)
      params = match.group(2).split(', ')
  
      # Create a dataclass for the parameters
      @dataclass
      class Params:
          pass
  
      for param in params:
          setattr(Params, param, int)
  
      # Create the function
      def optimized_function(params: Params) -> int:
          return eval(f"params.{params[0]} + params.{params[1]} + params.{params[2]}")
  
      # Optimize the code
      def optimize(fn, params):
          best_score = 0
          best_params = None
          for a in range(params.a - 10, params.a + 10):
              for b in range(params.b - 10, params.b + 10):
                  for c in range(params.c - 10, params.c + 10):
                      score = fn(Params(a, b, c))
                      if score > best_score:
                          best_score = score
                          best_params = {
                              'a': a,
                              'b': b,
                              'c': c
                          }
          return best_params
  
      # Main block
      if __name__ == '__main__':
          # Initialize the parameters
          params = Params(a=1, b=2, c=3)
          # Get the optimized params
          best_params = optimize(optimized_function, params)
          # Print the optimized result
          print("Optimized result: %d" % optimized_function(Params(best_params['a'], best_params['b'], best_params['c'])))
  
      return example_code