docs: def calcAcceptanceRatio(self, V, W):
          """
          Given a order vector V and a proposed order vector W, calculate the acceptance ratio for 
          changing to W when using MCMC.
  
          ivar: dict<int,<dict,<int,int>>> wmg: A two-dimensional dictionary that associates integer
              representations of each pair of candidates, cand1 and cand2, with the number of times
              cand1 is ranked above cand2 minus the number of times cand2 is ranked above cand1. The
              dictionary represents a weighted majority graph for an election.
          :ivar float phi: A value for phi such that 0 <= phi <= 1.   
          :ivar list<int> V: Contains integer representations of each candidate in order of their
              ranking in a vote, from first to last. This is the current sample.
          :ivar list<int> W: Contains integer representations of each candidate in order of their
              ranking in a vote, from first to last. This is the proposed sample.
          """
  
          acceptanceRatio = 1.0
          for comb in itertools.combinations(V, 2):
  
              #Check if comb[0] is ranked before comb[1] in V and W
              vIOverJ = 1
              wIOverJ = 1
              if V.index(comb[0]) > V.index(comb[1]):
                  vIOverJ = 0
              if W.index(comb[0]) > W.index(comb[1]):
                  wIOverJ = 0
          
              acceptanceRatio = acceptanceRatio * self.phi**(self.wmg[comb[0]][comb[1]]*(vIOverJ-wIOverJ))
          return acceptanceRatio