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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 sort(self, column_or_label, descending=False, distinct=False):
 """Return a Table of rows sorted according to the values in a column. Args: ``column_or_label``: the column whose values are used for sorting. ``descending``: if True, sorting will be in descending, rather than ascending order. ``distinct``: if True, repeated values in ``column_or_label`` will be omitted. Returns: An instance of ``Table`` containing rows sorted based on the values in ``column_or_label``. Color | Shape | Amount | Price Red | Round | 4 | 1.3 Green | Rectangular | 6 | 1.3 Blue | Rectangular | 12 | 2 Red | Round | 7 | 1.75 Green | Rectangular | 9 | 1.4 Green | Round | 2 | 1 Color | Shape | Amount | Price Green | Round | 2 | 1 Red | Round | 4 | 1.3 Green | Rectangular | 6 | 1.3 Red | Round | 7 | 1.75 Green | Rectangular | 9 | 1.4 Blue | Rectangular | 12 | 2 Color | Shape | Amount | Price Blue | Rectangular | 12 | 2 Green | Rectangular | 9 | 1.4 Red | Round | 7 | 1.75 Green | Rectangular | 6 | 1.3 Red | Round | 4 | 1.3 Green | Round | 2 | 1 Color | Shape | Amount | Price Green | Round | 2 | 1 Red | Round | 4 | 1.3 Green | Rectangular | 6 | 1.3 Green | Rectangular | 9 | 1.4 Red | Round | 7 | 1.75 Blue | Rectangular | 12 | 2 Color | Shape | Amount | Price Green | Round | 2 | 1 Red | Round | 4 | 1.3 Green | Rectangular | 9 | 1.4 Red | Round | 7 | 1.75 Blue | Rectangular | 12 | 2 """

        column = self._get_column(column_or_label)
        if distinct:
            _, row_numbers = np.unique(column, return_index=True)
        else:
            row_numbers = np.argsort(column, axis=0, kind='mergesort')
        assert (row_numbers < self.num_rows).all(), row_numbers
        if descending:
            row_numbers = np.array(row_numbers[::-1])
        return self.take(row_numbers)