import numpy as np
import numpy.testing as npt
import pytest
import os.path as op

import nibabel as nib

from dipy.io.stateful_tractogram import Space
from dipy.io.streamline import StatefulTractogram

import AFQ.utils.volume as afv
import AFQ.data as afd


def test_patch_up_roi():
    roi_bad = np.zeros((10, 10, 10))
    roi_good = np.ones((10, 10, 10))

    afv.patch_up_roi(roi_good)
    with pytest.raises(ValueError):
        afv.patch_up_roi(roi_bad)


def test_density_map():
    file_dict = afd.read_stanford_hardi_tractography()

    # subsample even more
    subsampled_tractography = file_dict["tractography_subsampled.trk"][441:444]
    sft = StatefulTractogram(
        subsampled_tractography,
        file_dict["mapping.nii.gz"],
        Space.VOX)
    density_map = afv.density_map(sft)
    npt.assert_equal(int(np.sum(density_map.get_fdata())), 69)


def test_dice_coeff():
    affine = np.asarray([
        [1, 0, 0, 0],
        [0, 1, 0, 0],
        [0, 0, 1, 0],
        [0, 0, 0, 0]])
    img1 = nib.Nifti1Image(
        np.asarray([
            [0.8, 0.9, 0],
            [0, 0, 0],
            [0, 0, 0]]),
        affine)
    img2 = nib.Nifti1Image(
        np.asarray([
            [0.5, 0, 0],
            [0.6, 0, 0],
            [0, 0, 0]]),
        affine)
    npt.assert_equal(afv.dice_coeff(img1, img2), 0.5)

@@ -1331,13 +1331,37 @@
  img2), 
+(
 0.5
++0.8)/(0.5+0.6+0.8+0.9)
 )%0A

update test