from sklearn.model_selection import train_test_split
import numpy as np

from cluster.clusterer import Clusterer
# for determing which clustering funciton to call
from cluster.opts import clustering_methods


def main(
    X: np.array,
    y: np.array,
    args: dict,
) -> dict:
    cluster_alg: Clusterer = clustering_methods[args["algorithm"]]
    model = cluster_alg.main(X, args)
    model.eval(X, y)
    return model.to_dict()