old_contents: """
  This is the **shenfun** package
  
  What is **shenfun**?
  ================================
  
  Shenfun is a toolbox for automating the spectral Galerkin method.  The user
  interface to shenfun is very similar to FEniCS (fenicsproject.org), but works
  only for tensor product grids and the spectral Galerkin method. The code is
  parallelized with MPI through the
  [*mpi4py-fft*](https://bitbucket.org/mpi4py/mpi4py-fft) package.
  
  """
  #pylint: disable=wildcard-import,no-name-in-module
  
  __version__ = '1.2.0'
  __author__ = 'Mikael Mortensen'
  
  import numpy as np
  from . import chebyshev
  from . import legendre
  from . import fourier
  from . import matrixbase
  from .fourier import energy_fourier
  from .io import *
  from .matrixbase import *
  from .forms import *
  from .tensorproductspace import *
  from .utilities import *
  from .utilities.lagrangian_particles import *
  from .utilities.integrators import *
  from .optimization import Cheb, la, Matvec, convolve, evaluate
  
new_contents: """
  This is the **shenfun** package
  
  What is **shenfun**?
  ================================
  
  ``Shenfun`` is a high performance computing platform for solving partial
  differential equations (PDEs) by the spectral Galerkin method. The user
  interface to shenfun is very similar to
  `FEniCS <https://fenicsproject.org>`_, but applications are limited to
  multidimensional tensor product grids. The code is parallelized with MPI
  through the `mpi4py-fft <https://bitbucket.org/mpi4py/mpi4py-fft>`_
  package.
  
  ``Shenfun`` enables fast development of efficient and accurate PDE solvers
  (spectral order and accuracy), in the comfortable high-level Python language.
  The spectral accuracy is ensured from using high-order *global* orthogonal
  basis functions (Fourier, Legendre and Chebyshev), as opposed to finite element
  codes like `FEniCS <https://fenicsproject.org>`_ that are using low-order
  *local* basis functions. Efficiency is ensured through vectorization
  (`Numpy <https://www.numpy.org/>`_), parallelization
  (`mpi4py <https://bitbucket.org/mpi4py/mpi4py>`_) and by moving critical
  routines to `Cython <https://cython.org/>`_.
  
  """
  #pylint: disable=wildcard-import,no-name-in-module
  
  __version__ = '1.2.1'
  __author__ = 'Mikael Mortensen'
  
  import numpy as np
  from . import chebyshev
  from . import legendre
  from . import fourier
  from . import matrixbase
  from .fourier import energy_fourier
  from .io import *
  from .matrixbase import *
  from .forms import *
  from .tensorproductspace import *
  from .utilities import *
  from .utilities.lagrangian_particles import *
  from .utilities.integrators import *
  from .optimization import Cheb, la, Matvec, convolve, evaluate
  
subject: bump version number for joss release