code: def _calc_priority_filter(row, pops):
      
      filters = []
      passes = []
      passes.extend(_find_known(row))
      filters.extend(_known_populations(row, pops))
      if len(filters) == 0 or (len(passes) > 0 and len(filters) < 2):
          passes.insert(0, "pass")
      return ",".join(passes + filters)
docs: Calculate the priority filter based on external associated data.
  
      - Pass high/medium impact variants not found in population databases
      - Pass variants found in COSMIC or Clinvar provided they don't have two
        additional reasons to filter (found in multiple external populations)