input: Write a function to create an AI-powered Python script that can optimize any given code by iterating through parameter variations and finding the best combination that maximizes the function's output. The function should take a function to optimize and an initial parameter class object as input.
  
  def create_optimize_script(fn):
   """
   Creates an AI-powered Python script to optimize any code by maximizing the function's output through parameter variations.
   """
   @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
  
   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'])))
   return optimize
  
  # Test the function with sample inputs
  assert create_optimize_script(lambda params: params.a + params.b + params.c)(Params(1, 2, 3)) == {'a': 1, 'b': 2, 'c': 3}
  assert create_optimize_script(lambda params: params.a * params.b * params.c)(Params(1, 2, 3)) == {'a': 1, 'b': 2, 'c': 3}
  assert create_optimize_script(lambda params: params.a - params.b - params.c)(Params(10, 5, 1)) == {'a': 10, 'b': 5, 'c': 1}
  assert create_optimize_script(lambda params: min(params.a, params.b, params.c))(Params(1, 2, 3)) == {'a': 1, 'b': 2, 'c': 3}
  assert create_optimize_script(lambda params: max(params.a, params.b, params.c))(Params(1, 2, 3)) == {'a': 1, 'b': 2, 'c': 3}
output: 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