input: def optimize_code(original_function, params, iterations: int) -> dict:
      """
      Optimizes the given function by searching for the best parameters within a specified range and number of iterations.
      Returns the best parameters found.
      
      Example:
      >>> @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
      ... 
      ... params = Params(a=1, b=2, c=3)
      ... optimize_code(get_result, params, iterations=5)
      {'a': 1, 'b': 2, 'c': 3}
      """
      best_score = 0
      best_params = None
      for _ in range(iterations):
          a = params.a + random.randint(-10, 10)
          b = params.b + random.randint(-10, 10)
          c = params.c + random.randint(-10, 10)
          score = original_function(Params(a, b, c))
          if score > best_score:
              best_score = score
              best_params = {
                  'a': a,
                  'b': b,
                  'c': c
              }
      return best_params
output:     import random
      from dataclasses import dataclass
  
      @dataclass
      class Params:
          a: int
          b: int
          c: int