old_contents: """
  pysat - Python Satellite Data Analysis Toolkit
  ==============================================
  
  pysat is a package providing a simple and flexible interface for
  downloading, loading, cleaning, managing, processing, and analyzing
  scientific measurements. Although pysat was initially designed for
  in situ satellite observations, it now supports many different types
  of ground- and space-based measurements.
  
  Main Features
  -------------
  
  - Instrument independent analysis routines.
  - Instrument object providing an interface for downloading and analyzing
      a wide variety of science data sets.
      - Uses pandas or xarray for the underlying data structure; capable of
          handling the many forms scientific measurements take in a consistent
          manner.
      - Standard scientific data handling tasks (e.g., identifying, downloading,
          and loading files and cleaning and modifying data) are built into the
          Instrument object.
      - Supports metadata consistent with the netCDF CF-1.6 standard. Each
          variable has a name, long name, and units. Note units are informational
          only.
  - Simplifies data management
      - Iterator support for loading data by day/file/orbit, independent of
          data storage details.
      - Orbits are calculated on the fly from loaded data and span day breaks.
      - Iterate over custom seasons
  - Supports rigorous time-series calculations that require spin up/down
      time across day, orbit, and file breaks.
  - Includes helper functions to reduce the barrier in adding new science
      instruments to pysat
  
  
  """
  
  # -*- coding: utf-8 -*-
  from __future__ import print_function
  from __future__ import absolute_import
  import os
  
  from pandas import Panel, DataFrame, Series, datetime
  from . import utils, model_utils
  from ._constellation import Constellation
  from ._instrument import Instrument
  from ._meta import Meta
  from ._files import Files
  from ._custom import Custom
  from ._orbits import Orbits
  from . import instruments
  from . import ssnl
  
  
  # set version
  here = os.path.abspath(os.path.dirname(__file__))
  with open(os.path.join(here, 'version.txt')) as version_file:
      __version__ = version_file.read().strip()
  
  
  # get home directory
  home_dir = os.path.expanduser('~')
  # set pysat directory path in home directory
  pysat_dir = os.path.join(home_dir, '.pysat')
  # make sure a pysat directory exists
  if not os.path.isdir(pysat_dir):
      # create directory
      os.mkdir(pysat_dir)
      # create file
      with open(os.path.join(pysat_dir, 'data_path.txt'), 'w') as f:
          f.write('')
      print('Created .pysat directory in user home directory to store settings.')
      data_dir = ''
  else:
      # load up stored data path
      with open(os.path.join(pysat_dir, 'data_path.txt'), 'r') as f:
          data_dir = f.readline()
  
  if data_dir == '':
      print(''.join(('Run pysat.utils.set_data_dir to set the path',
            ' to top-level directory that will/does contain science data.')))
  
  __all__ = ['ssnl', 'instruments', 'utils']
  
new_contents: """
  pysat - Python Satellite Data Analysis Toolkit
  ==============================================
  
  pysat is a package providing a simple and flexible interface for
  downloading, loading, cleaning, managing, processing, and analyzing
  scientific measurements. Although pysat was initially designed for
  in situ satellite observations, it now supports many different types
  of ground- and space-based measurements.
  
  Main Features
  -------------
  
  - Instrument independent analysis routines.
  - Instrument object providing an interface for downloading and analyzing
      a wide variety of science data sets.
      - Uses pandas or xarray for the underlying data structure; capable of
          handling the many forms scientific measurements take in a consistent
          manner.
      - Standard scientific data handling tasks (e.g., identifying, downloading,
          and loading files and cleaning and modifying data) are built into the
          Instrument object.
      - Supports metadata consistent with the netCDF CF-1.6 standard. Each
          variable has a name, long name, and units. Note units are informational
          only.
  - Simplifies data management
      - Iterator support for loading data by day/file/orbit, independent of
          data storage details.
      - Orbits are calculated on the fly from loaded data and span day breaks.
      - Iterate over custom seasons
  - Supports rigorous time-series calculations that require spin up/down
      time across day, orbit, and file breaks.
  - Includes helper functions to reduce the barrier in adding new science
      instruments to pysat
  
  
  """
  
  # -*- coding: utf-8 -*-
  from __future__ import print_function
  from __future__ import absolute_import
  import os
  
  
  # set version
  here = os.path.abspath(os.path.dirname(__file__))
  with open(os.path.join(here, 'version.txt')) as version_file:
      __version__ = version_file.read().strip()
  
  
  # get home directory
  home_dir = os.path.expanduser('~')
  # set pysat directory path in home directory
  pysat_dir = os.path.join(home_dir, '.pysat')
  # make sure a pysat directory exists
  if not os.path.isdir(pysat_dir):
      # create directory
      os.mkdir(pysat_dir)
      # create file
      with open(os.path.join(pysat_dir, 'data_path.txt'), 'w') as f:
          f.write('')
      print('Created .pysat directory in user home directory to store settings.')
      data_dir = ''
  else:
      # load up stored data path
      with open(os.path.join(pysat_dir, 'data_path.txt'), 'r') as f:
          data_dir = f.readline()
  
  if data_dir == '':
      print(''.join(('Run pysat.utils.set_data_dir to set the path',
            ' to top-level directory that will/does contain science data.')))
  
  from pandas import Panel, DataFrame, Series, datetime
  from . import utils, model_utils
  from ._constellation import Constellation
  from ._instrument import Instrument
  from ._meta import Meta
  from ._files import Files
  from ._custom import Custom
  from ._orbits import Orbits
  from . import instruments
  from . import ssnl
  
  __all__ = ['ssnl', 'instruments', 'utils']
  
subject: order of import should preclude pep8