old_contents: """
  Copyright 2013 Steven Diamond
  
  This file is part of CVXPY.
  
  CVXPY is free software: you can redistribute it and/or modify
  it under the terms of the GNU General Public License as published by
  the Free Software Foundation, either version 3 of the License, or
  (at your option) any later version.
  
  CVXPY is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  GNU General Public License for more details.
  
  You should have received a copy of the GNU General Public License
  along with CVXPY.  If not, see <http://www.gnu.org/licenses/>.
  """
  
  from cvxpy.atoms.affine.affine_atom import AffAtom
  import cvxpy.lin_ops.lin_utils as lu
  import numpy as np
  
  
  class transpose(AffAtom):
      """ Matrix transpose. """
      # The string representation of the atom.
  
      def __init__(self, axes=None):
          self.axes = axes
          super(AffAtom, transpose).__init__()
  
      def name(self):
          return "%s.T" % self.args[0]
  
      # Returns the transpose of the given value.
      @AffAtom.numpy_numeric
      def numeric(self, values):
          return np.transpose(values[0], axes=self.axes)
  
      def shape_from_args(self):
          """Returns the shape of the transpose expression.
          """
          return self.args[0].shape[::-1]
  
      def get_data(self):
          """ Returns the axes for transposition.
          """
          return [self.axes]
  
      @staticmethod
      def graph_implementation(arg_objs, shape, data=None):
          """Create a new variable equal to the argument transposed.
  
          Parameters
          ----------
          arg_objs : list
              LinExpr for each argument.
          shape : tuple
              The shape of the resulting expression.
          data :
              Additional data required by the atom.
  
          Returns
          -------
          tuple
              (LinOp for objective, list of constraints)
          """
          # TODO(akshakya): This will need to be updated when we add support
          # for >2D ararys.
          return (lu.transpose(arg_objs[0]), [])
  
new_contents: """
  Copyright 2013 Steven Diamond
  
  This file is part of CVXPY.
  
  CVXPY is free software: you can redistribute it and/or modify
  it under the terms of the GNU General Public License as published by
  the Free Software Foundation, either version 3 of the License, or
  (at your option) any later version.
  
  CVXPY is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  GNU General Public License for more details.
  
  You should have received a copy of the GNU General Public License
  along with CVXPY.  If not, see <http://www.gnu.org/licenses/>.
  """
  
  from cvxpy.atoms.affine.affine_atom import AffAtom
  import cvxpy.lin_ops.lin_utils as lu
  import numpy as np
  
  
  class transpose(AffAtom):
      """ Matrix transpose. """
      # The string representation of the atom.
  
      def __init__(self, expr, axes=None):
          self.axes = axes
          super(AffAtom, self).__init__(expr)
  
      def name(self):
          return "%s.T" % self.args[0]
  
      # Returns the transpose of the given value.
      @AffAtom.numpy_numeric
      def numeric(self, values):
          return np.transpose(values[0], axes=self.axes)
  
      def shape_from_args(self):
          """Returns the shape of the transpose expression.
          """
          return self.args[0].shape[::-1]
  
      def get_data(self):
          """ Returns the axes for transposition.
          """
          return [self.axes]
  
      @staticmethod
      def graph_implementation(arg_objs, shape, data=None):
          """Create a new variable equal to the argument transposed.
  
          Parameters
          ----------
          arg_objs : list
              LinExpr for each argument.
          shape : tuple
              The shape of the resulting expression.
          data :
              Additional data required by the atom.
  
          Returns
          -------
          tuple
              (LinOp for objective, list of constraints)
          """
          # TODO(akshakya): This will need to be updated when we add support
          # for >2D ararys.
          return (lu.transpose(arg_objs[0]), [])
  
subject: fix transpose