def pairwise_distances_argmin(X, Y, axis=1, metric="euclidean",
                              batch_size=500, metric_kwargs=None):
    if metric_kwargs is None:
        metric_kwargs = {}

    return pairwise_distances_argmin_min(X, Y, axis, metric, batch_size,
                                         metric_kwargs)[0]
The main change checking function of the thread.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/metrics/pairwise.py/pairwise_distances_argmin--crossover with--dataset/ETHPy150Open onitu/onitu/drivers/dropbox/onitu_dropbox/dropbox_driver.py/CheckChanges.process_changes