text: from ..lookup_tools.jec_uncertainty_lookup import jec_uncertainty_lookup
  import warnings
  import re
  from ..util import awkward
  from ..util import numpy as np
  from copy import deepcopy
  
  import re
  
  
  def _checkConsistency(against, tocheck):
      if against is None:
          against = tocheck
      else:
          if against != tocheck:
              raise Exception('Corrector for {} is mixed'
                              'with correctors for {}!'.format(tocheck, against))
      return tocheck
  
  
  def split_jec_name(name):
      info = name.split('_')
  
      # Check for the case when the dataera name contains a _ like "17Nov2017_V6"
      if re.match(r"V[0-9]+", info[2]):
          dataera = info[1] + info[2]
          info.pop(2)
          info[1] = dataera
  
      if "UncertaintySources" in info:
          lvl = info.pop()
          info[3] = lvl
  
      if len(info) != 5:
          raise Exception('Corrector name {0} is not properly formatted!'.format(name))
  
      campaign = _checkConsistency(None, info[0])
      dataera = _checkConsistency(None, info[1])
      datatype = _checkConsistency(None, info[2])
      level = info[3].replace('Uncertainty', 'jes')  # use a generic 'jes' for normal uncertainty
      jettype = _checkConsistency(None, info[4])
  
      return campaign, dataera, datatype, level, jettype
  
  
  class JetCorrectionUncertainty(object):
      """
          This class is a columnar implementation of the JetCorrectionUncertainty tool in
          CMSSW and FWLite. It calculates the jet energy scale uncertainty for a corrected jet
          in a given binning.
          You can use this class as follows:
          jcu = JetCorrectionUncertainty(name1=corrL1,...)
          jetUncs = jcu(JetParameter1=jet.parameter1,...)
      """
      def __init__(self, **kwargs):
          """
              You construct a JetCorrectionUncertainty by passing in a dict of names and functions.
              Names must be formatted as '<campaign>_<dataera>_<datatype>_<level>_<jettype>'.
          """
          jettype = None
          levels = []
          funcs = []
          datatype = None
          campaign = None
          dataera = None
          for name, func in kwargs.items():
              if not isinstance(func, jec_uncertainty_lookup):
                  raise Exception('{} is a {} and not a jec_uncertainty_lookup!'.format(name,
                                                                                        type(func)))
              campaign, dataera, datatype, level, jettype = split_jec_name(name)
  
              levels.append(level)
              funcs.append(func)
  
          if campaign is None:
              raise Exception('Unable to determine production campaign of JECs!')
          else:
              self._campaign = campaign
  
          if dataera is None:
              raise Exception('Unable to determine data era of JECs!')
          else:
              self._dataera = dataera
  
          if datatype is None:
              raise Exception('Unable to determine if JECs are for MC or Data!')
          else:
              self._datatype = datatype
  
          if len(levels) == 0:
              raise Exception('No levels provided?')
          else:
              self._levels = levels
              self._funcs = funcs
  
          if jettype is None:
              raise Exception('Unable to determine type of jet to correct!')
          else:
              self._jettype = jettype
          # now we setup the call signature for this factorized JEC
          self._signature = []
          for func in self._funcs:
              sig = func.signature
              for input in sig:
                  if input not in self._signature:
                      self._signature.append(input)
  
      @property
      def signature(self):
          """ list the necessary jet properties that must be input to this function """
          return self._signature
  
      @property
      def levels(self):
          """ list the different sources of uncertainty """
          return self._levels
  
      def __repr__(self):
          out = 'campaign   : %s\n' % (self._campaign)
          out += 'data era   : %s\n' % (self._dataera)
          out += 'data type  : %s\n' % (self._datatype)
          out += 'jet type   : %s\n' % (self._jettype)
          out += 'levels     : %s\n' % (','.join(self._levels))
          out += 'signature  : (%s)\n' % (','.join(self._signature))
          return out
  
      def getUncertainty(self, **kwargs):
          """
              Returns the set of uncertainties for all input jets for all the levels (== sources)
              use like:
              juncs = uncertainty.getUncertainty(JetProperty1=jet.property1,...)
              'juncs' will be formatted like [('SourceName', [[up_val down_val]_jet1 ... ]), ...]
              in a zip iterator
          """
          uncs = []
          for i, func in enumerate(self._funcs):
              sig = func.signature
              args = []
              for input in sig:
                  args.append(kwargs[input])
              uncs.append(func(*tuple(args)))
          return zip(self._levels, uncs)
  