code: def mod(x1, x2, out=None, where=None, **kwargs):
      """
      Return element-wise remainder of division.
  
      Computes the remainder complementary to the `floor_divide` function.  It is
      equivalent to the Python modulus operator``x1 % x2`` and has the same sign
      as the divisor `x2`. The MATLAB function equivalent to ``np.remainder``
      is ``mod``.
  
      .. warning::
  
          This should not be confused with:
  
          * Python 3.7's `math.remainder` and C's ``remainder``, which
            computes the IEEE remainder, which are the complement to
            ``round(x1 / x2)``.
          * The MATLAB ``rem`` function and or the C ``%`` operator which is the
            complement to ``int(x1 / x2)``.
  
      Parameters
      ----------
      x1 : array_like
          Dividend array.
      x2 : array_like
          Divisor array.
      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 element-wise remainder of the quotient ``floor_divide(x1, x2)``.
          Returns a scalar if both  `x1` and `x2` are scalars.
  
      See Also
      --------
      floor_divide : Equivalent of Python ``//`` operator.
      divmod : Simultaneous floor division and remainder.
      fmod : Equivalent of the MATLAB ``rem`` function.
      divide, floor
  
      Notes
      -----
      Returns 0 when `x2` is 0 and both `x1` and `x2` are (tensors of)
      integers.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.remainder([4, 7], [2, 3]).execute()
      array([0, 1])
      >>> mt.remainder(mt.arange(7), 5).execute()
      array([0, 1, 2, 3, 4, 0, 1])
      """
      op = TensorMod(**kwargs)
      return op(x1, x2, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/mod.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: mod(x1, x2, out, where) and returns: op