def apply_votes()

in monitoring/stv_tool.py [0:0]

• 19 lines of code
• 8 McCabe index (conditional complexity)

  def apply_votes(self, votes):
    # Reset each candidates vote 0.0
    for c in self.l:
      c.vote = 0.0

    # Each voter has 1 vote. Due to candidate weighting, it might not
    # get fully-assigned to candidates. We need to remember this excess.
    excess = 0.0

    # Now, process that 1 vote.
    for choices in votes:
      vote = 1.0

      # Distribute the vote, according to their ordered wishes.
      for c in choices:
        if c.status == HOPEFUL:
          c.vote += vote
          vote = 0.0
          break
        if c.status != ELIMINATED:
          wv = c.weight * vote  # weighted vote
          c.vote += wv
          vote -= wv
          # Note: should probably test for floating point margins, but
          # it's fine to just let this spill into the EXCESS value.
          if vote == 0.0:  # nothing left to distribute
            break
      excess += vote

    # Done. Tell caller what we could not distribute.
    return excess