code: def copysign(
      x1: Union[paddle.Tensor, Number],
      x2: Union[paddle.Tensor, Number],
      /,
      *,
      out: Optional[paddle.Tensor] = None,
  ) -> paddle.Tensor:
      x2 = paddle_backend.where(
          paddle_backend.equal(x2, 0.0),
          paddle_backend.divide(1.0, x2),
          x2,
      )
      signs = paddle_backend.sign(x2)
      result = paddle_backend.multiply(paddle_backend.abs(x1), signs)
      return result
  
imports: import operator
  from typing import Optional, Union, Tuple, List, Sequence
  from numbers import Number
  import paddle
  from ivy.utils.exceptions import IvyNotImplementedException
  from ivy.func_wrapper import with_supported_dtypes, with_unsupported_device_and_dtypes, with_unsupported_dtypes
  import ivy.functional.backends.paddle
  import ivy
  from ivy import promote_types_of_inputs
  from ivy.functional.backends.paddle.elementwise import _elementwise_helper
  from ..None import backend_version
label_desc: Use image node_id 9 for calling a global function with example usage: copysign() and returns: result