__all__ = ['image_to_cluster_images']

import numpy as np

import ants
from ants.decorators import image_method

@image_method
def image_to_cluster_images(image, min_cluster_size=50, min_thresh=1e-06, max_thresh=1):
    """
    Converts an image to several independent images.

    Produces a unique image for each connected 
    component 1 through N of size > min_cluster_size

    ANTsR function: `image2ClusterImages`

    Arguments
    ---------
    image : ANTsImage
        input image
    min_cluster_size : integer
        throw away clusters smaller than this value
    min_thresh : scalar
        threshold to a statistical map
    max_thresh : scalar
        threshold to a statistical map

    Returns
    -------
    list of ANTsImage types

    Example
    -------
    >>> import ants
    >>> image = ants.image_read(ants.get_ants_data('r16'))
    >>> image = ants.threshold_image(image, 1, 1e15)
    >>> image_cluster_list = ants.image_to_cluster_images(image)
    """
    if not ants.is_image(image):
        raise ValueError('image must be ANTsImage type')

    clust = ants.label_clusters(image, min_cluster_size, min_thresh, max_thresh)
    labs = np.unique(clust[clust > 0])

    clustlist = []
    for i in range(len(labs)):
        labimage = image.clone()
        labimage[clust != labs[i]] = 0
        clustlist.append(labimage)
    return clustlist