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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_column(self, position, missing_seqs=MissingSequenceHandler.SKIP):
 """ return a column from an alignment as a dictionary indexed by seq. name. :param position: the index to extract; these are in alignment co-ordinates, which are one-based, so the first column has index 1, and the final column has index == size(self). :param missing_seqs: how to treat sequence with no actual sequence data for the column. :return: dictionary where keys are sequence names and values are nucleotides (raw strings). """

    res = {}
    for k in self.sequences:
      if isinstance(self.sequences[k], UnknownSequence):
        if missing_seqs is MissingSequenceHandler.TREAT_AS_ALL_GAPS:
          res[k] = "-"
        elif missing_seqs is MissingSequenceHandler.SKIP:
          continue
      else:
        res[k] = self.sequences[k][position - 1]
    return res