code: def tan(x, out=None, where=None, **kwargs):
      """
      Compute tangent element-wise.
  
      Equivalent to ``mt.sin(x)/mt.cos(x)`` 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
      -------
      y : Tensor
        The corresponding tangent 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.
  
      Examples
      --------
      >>> from math import pi
      >>> import mars.tensor as mt
      >>> mt.tan(mt.array([-pi,pi/2,pi])).execute()
      array([  1.22460635e-16,   1.63317787e+16,  -1.22460635e-16])
      >>>
      >>> # Example of providing the optional output parameter illustrating
      >>> # that what is returned is a reference to said parameter
      >>> out1 = mt.zeros(1)
      >>> out2 = mt.cos([0.1], out1)
      >>> out2 is out1
      True
      >>>
      >>> # Example of ValueError due to provision of shape mis-matched `out`
      >>> mt.cos(mt.zeros((3,3)),mt.zeros((2,2)))
      Traceback (most recent call last):
        File "<stdin>", line 1, in <module>
      ValueError: invalid return array shape
      """
      op = TensorTan(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/tan.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: tan(x, out, where) and returns: op