input: def optimize_code_with_ai(code: str) -> str:
      """Optimizes any given Python code using an AI-powered approach.
      >>> optimize_code_with_ai(\"\"\"\ndef getResult(a, b, c):\n return a + b + c\n\"\"\")
      \"\"\"\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 \"\"\"Returns the sum of the three given numbers\"\"\"\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 # Initialize the parameters\n params = Params(a=1, b=2, c=3)\n # Get the optimized params\n best_params = optimize(get_result, params)\n # Print the optimized result\n print(\"Optimized result: %d\" % get_result(Params(best_params['a'], best_params['b'], best_params['c'])))\"\"\"
      """
output:     import ast
      import astor
  
      class CodeOptimizer(ast.NodeTransformer):
          def visit_FunctionDef(self, node):
              # Simplify function definitions
              node.body = [self.visit(n) for n in node.body]
              return node
  
          def visit_Assign(self, node):
              # Simplify assignments
              if isinstance(node.value, ast.BinOp) and isinstance(node.value.op, ast.Add):
                  node.value = ast.BinOp(left=node.value.left, op=ast.Mult(), right=ast.Num(n=2))
              return node
  
      def optimize_code_with_ai(code: str) -> str:
          tree = ast.parse(code)
          optimizer = CodeOptimizer()
          optimized_tree = optimizer.visit(tree)
          return astor.to_source(optimized_tree)