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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 equivalent_sites(self, scaled_positions, ondublicates='error', symprec=1e-3):
 """Returns the scaled positions and all their equivalent sites. Parameters: scaled_positions: list | array List of non-equivalent sites given in unit cell coordinates. ondublicates : 'keep' | 'replace' | 'warn' | 'error' Action if `scaled_positions` contain symmetry-equivalent positions: 'keep' ignore additional symmetry-equivalent positions 'replace' replace 'warn' like 'keep', but issue an UserWarning 'error' raises a SpacegroupValueError symprec: float Minimum "distance" betweed two sites in scaled coordinates before they are counted as the same site. Returns: sites: array A NumPy array of equivalent sites. kinds: list A list of integer indices specifying which input site is equivalent to the corresponding returned site. Example: array([[ 0. , 0. , 0. ], [ 0. , 0.5, 0.5], [ 0.5, 0. , 0.5], [ 0.5, 0.5, 0. ], [ 0.5, 0. , 0. ], [ 0. , 0.5, 0. ], [ 0. , 0. , 0.5], [ 0.5, 0.5, 0.5]]) [0, 0, 0, 0, 1, 1, 1, 1] """

        kinds = []
        sites = []
        symprec2 = symprec**2
        scaled = np.array(scaled_positions, ndmin=2)
        for kind, pos in enumerate(scaled):
            for rot, trans in self.get_symop():
                site = np.mod(np.dot(rot, pos) + trans, 1.)
                if not sites:
                    sites.append(site)
                    kinds.append(kind)
                    continue
                t = site - sites
                mask = np.sum(t*t, 1) < symprec2
                if np.any(mask):
                    ind = np.argwhere(mask)[0][0]
                    if kinds[ind] == kind:
                        pass
                    elif ondublicates == 'keep':
                        pass
                    elif ondublicates == 'replace':
                        kinds[ind] = kind
                    elif ondublicates == 'warn':
                        warnings.warn('scaled_positions %d and %d '
                                      'are equivalent'%(kinds[ind], kind))
                    elif ondublicates == 'error':
                        raise SpacegroupValueError(
                            'scaled_positions %d and %d are equivalent'%(
                                kinds[ind], kind))
                    else:
                        raise SpacegroupValueError(
                            'Argument "ondublicates" must be one of: '
                            '"keep", "replace", "warn" or "error".')
                else:
                    sites.append(site)
                    kinds.append(kind)
        return np.array(sites), kinds