input: 
  def optimize_given_code(input_code: str) -> str:
      """AI-powered optimization of a given Python function. Given input code, this function will optimize
      the code and return the optimized version.
      >>> optimize_given_code('''function getResult(a, b, c) { return a + b + c; }''')
      '''
      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'])))
      '''
      """
      return input_code  # Placeholder for the actual optimization code
  
output:     import ast
      import astor
  
      class CodeOptimizer(ast.NodeTransformer):
          def visit_BinOp(self, node):
              if isinstance(node.op, ast.Add):
                  return ast.BinOp(left=node.left, op=ast.Mult(), right=ast.Constant(value=2))
              return node
  
      def optimize_code(code):
          tree = ast.parse(code)
          optimizer = CodeOptimizer()
          optimized_tree = optimizer.visit(tree)
          return astor.to_source(optimized_tree)
  
      return optimize_code(input_code)