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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_best_electronegativity_anonymous_mapping(self, struct1, struct2):
 """ Performs an anonymous fitting, which allows distinct species in one structure to map to another. E.g., to compare if the Li2O and Na2O structures are similar. If multiple substitutions are within tolerance this will return the one which minimizes the difference in electronegativity between the matches species. Args: struct1 (Structure):
 1st structure struct2 (Structure):
 2nd structure Returns: min_mapping (Dict):
 Mapping of struct1 species to struct2 species """

        struct1, struct2 = self._process_species([struct1, struct2])
        struct1, struct2, fu, s1_supercell = self._preprocess(struct1, struct2)

        matches = self._anonymous_match(struct1, struct2, fu, s1_supercell,
                                        use_rms=True, break_on_match=True)

        if matches:
            min_X_diff = np.inf
            for m in matches:
                X_diff = 0
                for k, v in m[0].items():
                    X_diff += struct1.composition[k] * (k.X - v.X) ** 2
                if X_diff < min_X_diff:
                    min_X_diff = X_diff
                    best = m[0]
            return best