code: def sinh(x, out=None, where=None, **kwargs):
      """
      Hyperbolic sine, element-wise.
  
      Equivalent to ``1/2 * (mt.exp(x) - mt.exp(-x))`` or
      ``-1j * mt.sin(1j*x)``.
  
      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
      -------
      y : Tensor
          The corresponding hyperbolic sine values.
  
      Notes
      -----
      If `out` is provided, the function writes the result into it,
      and returns a reference to `out`.  (See Examples)
  
      References
      ----------
      M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions.
      New York, NY: Dover, 1972, pg. 83.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.sinh(0).execute()
      0.0
      >>> mt.sinh(mt.pi*1j/2).execute()
      1j
      >>> mt.sinh(mt.pi*1j).execute() # (exact value is 0)
      1.2246063538223773e-016j
      >>> # Discrepancy due to vagaries of floating point arithmetic.
  
      >>> # Example of providing the optional output parameter
      >>> out1 = mt.zeros(1)
      >>> out2 = mt.sinh([0.1], out1)
      >>> out2 is out1
      True
  
      >>> # Example of ValueError due to provision of shape mis-matched `out`
      >>> mt.sinh(mt.zeros((3,3)),mt.zeros((2,2))).execute()
      Traceback (most recent call last):
      ...
      ValueError:  operands could not be broadcast together with shapes (3,3) (2,2)
      """
      op = TensorSinh(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/sinh.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: sinh(x, out, where) and returns: op