input: def optimize_python_program(code: str) -> str:
      """ Given a python program as a string, this function optimizes the program by removing redundant loops
      and replacing them with more efficient statements.
      >>> optimize_python_program("numbers = [1, 2, 3, 4, 5, 6]\\nfor x in numbers:\\n    print(x)")
      "numbers = [1, 2, 3, 4, 5, 6]\\nprint(*numbers, sep='\\\\n')"
      >>> optimize_python_program("for i in range(10):\\n    print(i)")
      "print(*range(10), sep='\\\\n')"
      """
output:     import ast
      import astor
  
      class Optimizer(ast.NodeTransformer):
          def visit_For(self, node):
              if isinstance(node.iter, ast.Call) and isinstance(node.iter.func, ast.Name) and node.iter.func.id == 'range':
                  if len(node.body) == 1 and isinstance(node.body[0], ast.Expr) and isinstance(node.body[0].value, ast.Call) and isinstance(node.body[0].value.func, ast.Name) and node.body[0].value.func.id == 'print':
                      print_args = node.body[0].value.args
                      if len(print_args) == 1 and isinstance(print_args[0], ast.Name) and print_args[0].id == node.target.id:
                          new_print_call = ast.Call(func=ast.Name(id='print', ctx=ast.Load()), args=[ast.Starred(value=node.iter, ctx=ast.Load())], keywords=[ast.keyword(arg='sep', value=ast.Str(s='\\n'))])
                          return ast.Expr(value=new_print_call)
              return self.generic_visit(node)
  
      tree = ast.parse(code)
      optimizer = Optimizer()
      optimized_tree = optimizer.visit(tree)
      return astor.to_source(optimized_tree).strip()