code: def arctanh(x, out=None, where=None, **kwargs):
      """
      Inverse hyperbolic tangent element-wise.
  
      Parameters
      ----------
      x : array_like
          Input tensor.
      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 : Tensor
          Array of the same shape as `x`.
  
      Notes
      -----
      `arctanh` is a multivalued function: for each `x` there are infinitely
      many numbers `z` such that `tanh(z) = x`. The convention is to return
      the `z` whose imaginary part lies in `[-pi/2, pi/2]`.
  
      For real-valued input data types, `arctanh` always returns real output.
      For each value that cannot be expressed as a real number or infinity,
      it yields ``nan`` and sets the `invalid` floating point error flag.
  
      For complex-valued input, `arctanh` is a complex analytical function
      that has branch cuts `[-1, -inf]` and `[1, inf]` and is continuous from
      above on the former and from below on the latter.
  
      The inverse hyperbolic tangent is also known as `atanh` or ``tanh^-1``.
  
      References
      ----------
      .. [1] M. Abramowitz and I.A. Stegun, "Handbook of Mathematical Functions",
             10th printing, 1964, pp. 86. http://www.math.sfu.ca/~cbm/aands/
      .. [2] Wikipedia, "Inverse hyperbolic function",
             http://en.wikipedia.org/wiki/Arctanh
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.arctanh([0, -0.5]).execute()
      array([ 0.        , -0.54930614])
      """
      op = TensorArctanh(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/arctanh.py
imports: import numpy
  from ...None import opcodes
  from ..utils import infer_dtype
  from .core import TensorUnaryOp
  from .utils import arithmetic_operand
label_desc: Use image node_id 1 for calling a global function with example usage: arctanh(x, out, where) and returns: op