code: def fliplr(m):
      """
      Flip array in the left/right direction.
  
      Flip the entries in each row in the left/right direction.
      Columns are preserved, but appear in a different order than before.
  
      Parameters
      ----------
      m : array_like
          Input array, must be at least 2-D.
  
      Returns
      -------
      f : ndarray
          A view of `m` with the columns reversed.  Since a view
          is returned, this operation is :math:`\\mathcal O(1)`.
  
      See Also
      --------
      flipud : Flip array in the up/down direction.
      rot90 : Rotate array counterclockwise.
  
      Notes
      -----
      Equivalent to m[:,::-1]. Requires the array to be at least 2-D.
  
      Examples
      --------
      >>> A = np.diag([1.,2.,3.])
      >>> A
      array([[ 1.,  0.,  0.],
             [ 0.,  2.,  0.],
             [ 0.,  0.,  3.]])
      >>> np.fliplr(A)
      array([[ 0.,  0.,  1.],
             [ 0.,  2.,  0.],
             [ 3.,  0.,  0.]])
  
      >>> A = np.random.randn(2,3,5)
      >>> np.all(np.fliplr(A) == A[:,::-1,...])
      True
  
      """
      m = asanyarray(m)
      if m.ndim < 2:
          raise ValueError("Input must be >= 2-d.")
      return m[:, ::-1]
  
imports: from __future__ import division, absolute_import, print_function
  import functools
  from numpy.core.numeric import absolute, asanyarray, arange, zeros, greater_equal, multiply, ones, asarray, where, int8, int16, int32, int64, empty, promote_types, diagonal, nonzero
  from numpy.core.overrides import set_module
  from numpy.core import overrides
  from numpy.core import iinfo, transpose
label_desc: Use image node_id 3 for calling a global function with example usage: fliplr(m) and returns: m