<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def reindex_similar(self, other, n_sphere=4):
 """Reindex ``other`` to be similarly indexed as ``self``. Returns a reindexed copy of ``other`` that minimizes the distance for each atom to itself in the same chemical environemt from ``self`` to ``other``. Read more about the definition of the chemical environment in :func:`Cartesian.partition_chem_env` .. note:: It is necessary to align ``self`` and other before applying this method. This can be done via :meth:`~Cartesian.align`. .. note:: It is probably necessary to improve the result using :meth:`~Cartesian.change_numbering()`. Args: other (Cartesian):
 n_sphere (int):
 Wrapper around the argument for :meth:`~Cartesian.partition_chem_env`. Returns: Cartesian: Reindexed version of other """

        def make_subset_similar(m1, subset1, m2, subset2, index_dct):
            """Changes index_dct INPLACE"""
            coords = ['x', 'y', 'z']
            index1 = list(subset1)
            for m1_i in index1:
                dist_m2_to_m1_i = m2.get_distance_to(m1.loc[m1_i, coords],
                                                     subset2, sort=True)

                m2_i = dist_m2_to_m1_i.index[0]
                dist_new = dist_m2_to_m1_i.loc[m2_i, 'distance']
                m2_pos_i = dist_m2_to_m1_i.loc[m2_i, coords]

                counter = itertools.count()
                found = False
                while not found:
                    if m2_i in index_dct.keys():
                        old_m1_pos = m1.loc[index_dct[m2_i], coords]
                        if dist_new < np.linalg.norm(m2_pos_i - old_m1_pos):
                            index1.append(index_dct[m2_i])
                            index_dct[m2_i] = m1_i
                            found = True
                        else:
                            m2_i = dist_m2_to_m1_i.index[next(counter)]
                            dist_new = dist_m2_to_m1_i.loc[m2_i, 'distance']
                            m2_pos_i = dist_m2_to_m1_i.loc[m2_i, coords]
                    else:
                        index_dct[m2_i] = m1_i
                        found = True
            return index_dct

        molecule1 = self.copy()
        molecule2 = other.copy()

        partition1 = molecule1.partition_chem_env(n_sphere)
        partition2 = molecule2.partition_chem_env(n_sphere)

        index_dct = {}
        for key in partition1:
            message = ('You have chemically different molecules, regarding '
                       'the topology of their connectivity.')
            assert len(partition1[key]) == len(partition2[key]), message
            index_dct = make_subset_similar(molecule1, partition1[key],
                                            molecule2, partition2[key],
                                            index_dct)
        molecule2.index = [index_dct[i] for i in molecule2.index]
        return molecule2.loc[molecule1.index]