code: def cosh(x, out=None, where=None, **kwargs):
      """
      Hyperbolic cosine, element-wise.
  
      Equivalent to ``1/2 * (mt.exp(x) + mt.exp(-x))`` and ``mt.cos(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
      -------
      out : Tensor
          Output array of same shape as `x`.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.cosh(0).execute()
      1.0
  
      The hyperbolic cosine describes the shape of a hanging cable:
  
      >>> import matplotlib.pyplot as plt
      >>> x = mt.linspace(-4, 4, 1000)
      >>> plt.plot(x.execute(), mt.cosh(x).execute())
      >>> plt.show()
      """
      op = TensorCosh(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/cosh.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: cosh(x, out, where) and returns: op