code: def invert(x, out=None, where=None, **kwargs):
      """
      Compute bit-wise inversion, or bit-wise NOT, element-wise.
  
      Computes the bit-wise NOT of the underlying binary representation of
      the integers in the input tensors. This ufunc implements the C/Python
      operator ``~``.
  
      For signed integer inputs, the two's complement is returned.  In a
      two's-complement system negative numbers are represented by the two's
      complement of the absolute value. This is the most common method of
      representing signed integers on computers [1]_. A N-bit
      two's-complement system can represent every integer in the range
      :math:`-2^{N-1}` to :math:`+2^{N-1}-1`.
  
      Parameters
      ----------
      x : array_like
          Only integer and boolean types are handled.
      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 : array_like
          Result.
  
      See Also
      --------
      bitwise_and, bitwise_or, bitwise_xor
      logical_not
  
      Notes
      -----
      `bitwise_not` is an alias for `invert`:
  
      >>> import mars.tensor as mt
  
      >>> mt.bitwise_not is mt.invert
      True
  
      References
      ----------
      .. [1] Wikipedia, "Two's complement",
          http://en.wikipedia.org/wiki/Two's_complement
  
      Examples
      --------
      We've seen that 13 is represented by ``00001101``.
      The invert or bit-wise NOT of 13 is then:
  
      >>> mt.invert(mt.array([13], dtype=mt.uint8)).execute()
      array([242], dtype=uint8)
  
      The result depends on the bit-width:
  
      >>> mt.invert(mt.array([13], dtype=mt.uint16)).execute()
      array([65522], dtype=uint16)
  
      When using signed integer types the result is the two's complement of
      the result for the unsigned type:
  
      >>> mt.invert(mt.array([13], dtype=mt.int8)).execute()
      array([-14], dtype=int8)
  
      Booleans are accepted as well:
  
      >>> mt.invert(mt.array([True, False])).execute()
      array([False,  True])
      """
      op = TensorInvert(**kwargs)
      return op(x, out=out, where=where)
  
file_path: mars/mars/tensor/arithmetic/invert.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: invert(x, out, where) and returns: op