old_contents: import logging
  pvl_logger = logging.getLogger('pvlib')
  
  import datetime
  
  import numpy as np
  import pandas as pd
  
  from nose.tools import raises
  from nose.tools import assert_almost_equals
  
  from pvlib.location import Location
  from pvlib import solarposition
  from pvlib import atmosphere
  
  
  # setup times and location to be tested.
  times = pd.date_range(start=datetime.datetime(2014,6,24), 
                        end=datetime.datetime(2014,6,26), freq='1Min')
  
  tus = Location(32.2, -111, 'US/Arizona', 700)
  
  times_localized = times.tz_localize(tus.tz)
  
  ephem_data = solarposition.get_solarposition(times, tus)
  
  
  # need to add physical tests instead of just functional tests
  
  def test_pres2alt():
      atmosphere.pres2alt(100000)
      
  def test_alt2press():
      atmosphere.pres2alt(1000)
  
  
  # two functions combined will generate unique unit tests for each model
  def test_airmasses():
      models = ['simple', 'kasten1966', 'youngirvine1967', 'kastenyoung1989',
                'gueymard1993', 'young1994', 'pickering2002', 'invalid']
      for model in models:
          yield run_airmass, model, ephem_data['zenith']
  
  
  def run_airmass(model, zenith):
      atmosphere.relativeairmass(zenith, model)
  
      
  def test_absoluteairmass():
      relative_am = atmosphere.relativeairmass(ephem_data['zenith'], 'simple')
      atmosphere.absoluteairmass(relative_am)
      atmosphere.absoluteairmass(relative_am, pressure=100000)
  
  
  def test_absoluteairmass_numeric():
      atmosphere.absoluteairmass(2)
  
  
  def test_absoluteairmass_nan():
      np.testing.assert_equal(np.nan, atmosphere.absoluteairmass(np.nan))
  
  
new_contents: import logging
  pvl_logger = logging.getLogger('pvlib')
  
  import datetime
  
  import numpy as np
  import pandas as pd
  
  from nose.tools import raises
  from nose.tools import assert_almost_equals
  
  from pvlib.location import Location
  from pvlib import solarposition
  from pvlib import atmosphere
  
  
  # setup times and location to be tested.
  times = pd.date_range(start=datetime.datetime(2014,6,24), 
                        end=datetime.datetime(2014,6,26), freq='1Min')
  
  tus = Location(32.2, -111, 'US/Arizona', 700)
  
  times_localized = times.tz_localize(tus.tz)
  
  ephem_data = solarposition.get_solarposition(times_localized, tus.latitude,
                                               tus.longitude)
  
  
  # need to add physical tests instead of just functional tests
  
  def test_pres2alt():
      atmosphere.pres2alt(100000)
      
  def test_alt2press():
      atmosphere.pres2alt(1000)
  
  
  # two functions combined will generate unique unit tests for each model
  def test_airmasses():
      models = ['simple', 'kasten1966', 'youngirvine1967', 'kastenyoung1989',
                'gueymard1993', 'young1994', 'pickering2002', 'invalid']
      for model in models:
          yield run_airmass, model, ephem_data['zenith']
  
  
  def run_airmass(model, zenith):
      atmosphere.relativeairmass(zenith, model)
  
      
  def test_absoluteairmass():
      relative_am = atmosphere.relativeairmass(ephem_data['zenith'], 'simple')
      atmosphere.absoluteairmass(relative_am)
      atmosphere.absoluteairmass(relative_am, pressure=100000)
  
  
  def test_absoluteairmass_numeric():
      atmosphere.absoluteairmass(2)
  
  
  def test_absoluteairmass_nan():
      np.testing.assert_equal(np.nan, atmosphere.absoluteairmass(np.nan))
  
  
subject: make test_atmosphere work with new solpos sig