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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 generate_lars_path(weighted_data, weighted_labels):
 """Generates the lars path for weighted data. Args: weighted_data: data that has been weighted by kernel weighted_label: labels, weighted by kernel Returns: (alphas, coefs), both are arrays corresponding to the regularization parameter and coefficients, respectively """

        x_vector = weighted_data
        alphas, _, coefs = lars_path(x_vector,
                                     weighted_labels,
                                     method='lasso',
                                     verbose=False)
        return alphas, coefs