class_docstr: Class for representing a SAT solver capable of
   finding a model to a boolean theory in conjunctive
   normal form.
class_docstr_tok: ["Class","for","representing","a","SAT","solver","capable","of","finding","a","model","to","a","boolean","theory","in","conjunctive","normal","form","."]
docstr: Set up the variable data structures needed.
docstr_tok: ["Set","up","the","variable","data","structures","needed","."]
code: def _initialize_variables(self, variables):
      """Set up the variable data structures needed."""
      self.sentinels = defaultdict(set)
      self.occurrence_count = defaultdict(int)
      self.variable_set = [False] * (len(variables) + 1)
  
imports: from collections import defaultdict
  from heapq import heappush, heappop
  from sympy.core.sorting import ordered
  from sympy.assumptions.cnf import EncodedCNF
  from sympy.logic.algorithms.lra_theory import LRASolver
label_desc: Use image node_id 2 for calling the SATSolver obj's underlying member method code with example usage: obj._initialize_variables(variables) without return types