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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 clustering_factory(clf):
 """Embeds scikit-plot plotting methods in an sklearn clusterer instance. Args: clf: Scikit-learn clusterer instance Returns: The same scikit-learn clusterer instance passed in **clf** with embedded scikit-plot instance methods. Raises: ValueError: If **clf** does not contain the instance methods necessary for scikit-plot instance methods. """

    required_methods = ['fit', 'fit_predict']

    for method in required_methods:
        if not hasattr(clf, method):
            raise TypeError('"{}" is not in clf. Did you '
                            'pass a clusterer instance?'.format(method))

    additional_methods = {
        'plot_silhouette': plot_silhouette,
        'plot_elbow_curve': plot_elbow_curve
    }

    for key, fn in six.iteritems(additional_methods):
        if hasattr(clf, key):
            warnings.warn('"{}" method already in clf. '
                          'Overriding anyway. This may '
                          'result in unintended behavior.'.format(key))
        setattr(clf, key, types.MethodType(fn, clf))
    return clf