old_contents: # Copyright 2014-2018 The ODL contributors
  #
  # This file is part of ODL.
  #
  # This Source Code Form is subject to the terms of the Mozilla Public License,
  # v. 2.0. If a copy of the MPL was not distributed with this file, You can
  # obtain one at https://mozilla.org/MPL/2.0/.
  
  """Contributed code for the stochastic PDHG.
  
      [CERS2017] A. Chambolle, M. J. Ehrhardt, P. Richtarik and C.-B. Schoenlieb,
      *Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling
      and Imaging Applications*. ArXiv: http://arxiv.org/abs/1706.04957 (2017).
  
      [E+2017] M. J. Ehrhardt, P. J. Markiewicz, P. Richtarik, J. Schott,
      A. Chambolle and C.-B. Schoenlieb, *Faster PET reconstruction with a
      stochastic primal-dual hybrid gradient method*. Wavelets and Sparsity XVII,
      58 (2017) http://doi.org/10.1117/12.2272946.
  """
  
  from __future__ import absolute_import
  
  __all__ = ()
  
  from .misc import *
  __all__ += misc.__all__
  
  from .stochastic_primal_dual_hybrid_gradient import *
  __all__ += stochastic_primal_dual_hybrid_gradient.__all__
  
new_contents: # Copyright 2014-2018 The ODL contributors
  #
  # This file is part of ODL.
  #
  # This Source Code Form is subject to the terms of the Mozilla Public License,
  # v. 2.0. If a copy of the MPL was not distributed with this file, You can
  # obtain one at https://mozilla.org/MPL/2.0/.
  
  """Contributed code for the stochastic PDHG.
  
  [CERS2017] A. Chambolle, M. J. Ehrhardt, P. Richtarik and C.-B. Schoenlieb,
  *Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling
  and Imaging Applications*. ArXiv: http://arxiv.org/abs/1706.04957 (2017).
  
  [E+2017] M. J. Ehrhardt, P. J. Markiewicz, P. Richtarik, J. Schott,
  A. Chambolle and C.-B. Schoenlieb, *Faster PET reconstruction with a
  stochastic primal-dual hybrid gradient method*. Wavelets and Sparsity XVII,
  58 (2017) http://doi.org/10.1117/12.2272946.
  """
  
  from __future__ import absolute_import
  
  __all__ = ()
  
  from .misc import *
  __all__ += misc.__all__
  
  from .stochastic_primal_dual_hybrid_gradient import *
  __all__ += stochastic_primal_dual_hybrid_gradient.__all__
  
subject: improve indent