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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 from_tuples(cls, tuples, sortorder=None, names=None):
 """ Convert list of tuples to MultiIndex. Parameters tuples : list / sequence of tuple-likes Each tuple is the index of one row/column. sortorder : int or None Level of sortedness (must be lexicographically sorted by that level). names : list / sequence of str, optional Names for the levels in the index. Returns ------- index : MultiIndex See Also -------- MultiIndex.from_arrays : Convert list of arrays to MultiIndex. MultiIndex.from_product : Make a MultiIndex from cartesian product of iterables. MultiIndex.from_frame : Make a MultiIndex from a DataFrame. Examples -------- MultiIndex(levels=[[1, 2], ['blue', 'red']], codes=[[0, 0, 1, 1], [1, 0, 1, 0]], names=['number', 'color']) """

        if not is_list_like(tuples):
            raise TypeError('Input must be a list / sequence of tuple-likes.')
        elif is_iterator(tuples):
            tuples = list(tuples)

        if len(tuples) == 0:
            if names is None:
                msg = 'Cannot infer number of levels from empty list'
                raise TypeError(msg)
            arrays = [[]] * len(names)
        elif isinstance(tuples, (np.ndarray, Index)):
            if isinstance(tuples, Index):
                tuples = tuples._values

            arrays = list(lib.tuples_to_object_array(tuples).T)
        elif isinstance(tuples, list):
            arrays = list(lib.to_object_array_tuples(tuples).T)
        else:
            arrays = lzip(*tuples)

        return MultiIndex.from_arrays(arrays, sortorder=sortorder, names=names)