from torch.cuda import LongTensor

from numpy import ndarray, array, int32, append, flip

def Convert_To_Image(tensor: LongTensor, adj_count: int) -> ndarray:

    r"""

        Arguments:

            tensor (torch.cuda.LongTensor): Graph as tensor.

        Returns:

            out (numpy.ndarray): Converted image.

    """

    tensor = tensor.cpu()

    out = array([tensor[0:512]], dtype = int32)

    for i in range(1, 512):

        if i % 2 == 1:

            out = append(out, flip([tensor[i*adj_count:adj_count+i*adj_count]]), axis = 0)

        else:

            out = append(out, [tensor[i*adj_count:adj_count+i*adj_count]], axis = 0)

    return out