code: def copysign(x1, x2, out=None, where=None, **kwargs):
      """
      Change the sign of x1 to that of x2, element-wise.
  
      If both arguments are arrays or sequences, they have to be of the same
      length. If `x2` is a scalar, its sign will be copied to all elements of
      `x1`.
  
      Parameters
      ----------
      x1 : array_like
          Values to change the sign of.
      x2 : array_like
          The sign of `x2` is copied to `x1`.
      out : Tensor, None, or tuple of Tensor and None, optional
          A location into which the result is stored. If provided, it must have
          a shape that the inputs broadcast to. If not provided or `None`,
          a freshly-allocated tensor is returned. A tuple (possible only as a
          keyword argument) must have length equal to the number of outputs.
      where : array_like, optional
          Values of True indicate to calculate the ufunc at that position, values
          of False indicate to leave the value in the output alone.
      **kwargs
  
      Returns
      -------
      out : array_like
          The values of `x1` with the sign of `x2`.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.copysign(1.3, -1).execute()
      -1.3
      >>> (1/mt.copysign(0, 1)).execute()
      inf
      >>> (1/mt.copysign(0, -1)).execute()
      -inf
  
      >>> mt.copysign([-1, 0, 1], -1.1).execute()
      array([-1., -0., -1.])
      >>> mt.copysign([-1, 0, 1], mt.arange(3)-1).execute()
      array([-1.,  0.,  1.])
      """
      op = TensorCopysign(**kwargs)
      return op(x1, x2, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/copysign.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorBinOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: copysign(x1, x2, out, where) and returns: op