old_contents: """A custom ILAMB confrontation for net ecosystem productivity (nep)."""
  import os
  import numpy as np
  from ILAMB.Confrontation import Confrontation
  from ILAMB.Variable import Variable
  from ILAMB.ilamblib import MakeComparable
  
  
  class ConfNEP(Confrontation):
      """Confront ``nep`` model outputs with ``nee`` observations.
  
      Net ecosystem productivity (``nep``) is a CMIP5 standard output
      provided by the MsTMIP models, and is the inverse of net ecosystem
      exchange (``nee``), for which benchmark datasets are provided in
      ILAMB.
  
      """
  
      def __init__(self, **keywords):
          super(ConfNEP, self).__init__(**keywords)
  
      def stageData(self, m):
          obs = Variable(filename=self.source,
                         variable_name=self.variable)
          self._checkRegions(obs)
          obs.data *= -1.0  # Reverse sign of benchmark data.
  
          mod = m.extractTimeSeries(self.variable,
                                    alt_vars=self.alternate_vars)
          mod.data *= -1.0  # Reverse sign of modified model outputs.
  
          obs, mod = MakeComparable(obs, mod, clip_ref=True,
                                    logstring="[%s][%s]" %
                                    (self.longname, m.name))
  
          return obs, mod
  
new_contents: """A custom ILAMB confrontation for net ecosystem productivity (nep)."""
  import os
  import numpy as np
  from ILAMB.Confrontation import Confrontation
  from ILAMB.Variable import Variable
  from ILAMB.ilamblib import MakeComparable
  
  
  class ConfNEP(Confrontation):
      """Confront ``nep`` model outputs with ``nee`` observations.
  
      Net ecosystem productivity (``nep``) is a CMIP5 standard output
      provided by the MsTMIP models, and is the inverse of net ecosystem
      exchange (``nee``), for which benchmark datasets are provided in
      ILAMB.
  
      """
  
      def __init__(self, **keywords):
          super(ConfNEP, self).__init__(**keywords)
  
      def stageData(self, m):
          obs = Variable(filename=self.source,
                         variable_name=self.variable)
          obs.data *= -1.0  # Reverse sign of benchmark data.
  
          mod = m.extractTimeSeries(self.variable,
                                    alt_vars=self.alternate_vars)
          mod.data *= -1.0  # Reverse sign of modified model outputs.
  
          obs, mod = MakeComparable(obs, mod, clip_ref=True,
                                    logstring="[%s][%s]" %
                                    (self.longname, m.name))
  
          return obs, mod
  
subject: Remove call to _checkRegions method