from __future__ import division, print_function, absolute_import


import pytest
import numpy as np
import torch as t

from CDTools.tools import image_processing, cmath
from scipy import ndimage


def test_centroid():
    # Test single im
    im = t.rand((30,40))
    sp_centroid = ndimage.measurements.center_of_mass(im.numpy())
    centroid = image_processing.centroid(im)
    assert t.allclose(centroid, t.Tensor(sp_centroid))
    
    # Test stack o' ims
    ims = t.rand((5,30,40))
    sp_centroids = [ndimage.measurements.center_of_mass(im.numpy())
                    for im in ims]
    centroids = image_processing.centroid(ims)
    assert t.allclose(centroids, t.Tensor(sp_centroids))


def test_centroid_sq():
    # Test single im
    im = t.rand((30,40))
    sp_centroid = ndimage.measurements.center_of_mass(im.numpy()**2)
    centroid = image_processing.centroid_sq(im)
    assert t.allclose(centroid, t.Tensor(sp_centroid))

    # Test complex with multiple ims
    ims = t.rand((5,30,40,2))
    np_ims = cmath.torch_to_complex(ims)
    sp_centroids = [ndimage.measurements.center_of_mass(np.abs(im)**2)
                    for im in np_ims]
    centroids = image_processing.centroid_sq(ims, comp=True)
    assert t.allclose(centroids, t.Tensor(np.array(sp_centroids)))