0c5c35a3c43c7ea4eb218805d9478f98e9af39ea,dipy/tracking/markov.py,MarkovIntegrator,__init__,#MarkovIntegrator#Any#Any#Any#Any#Any#Any#Any#Any#Any#,110

Before Change

        self._cos_similarity = np.cos(np.deg2rad(angle_limit))

        if mask_voxel_size is None:
            assert mask.shape == interpolator.data.shape[:-1]
            mask_voxel_size = interpolator.voxel_size
        else:
            mask_voxel_size = np.asarray(mask_voxel_size)
            mask_FOV = mask_voxel_size * mask.shape

After Change

            mask_voxel_size = np.asarray(mask_voxel_size)
            mask_FOV = mask_voxel_size * mask.shape
            data_FOV = interpolator.voxel_size * interpolator.data.shape
            if not np.allclose(mask_FOV, data_FOV):
                raise ValueError("The FOV of the data and the FOV of the mask "
                                 "do not match")
        self._mask = NearestNeighborInterpolator(mask.copy(), mask_voxel_size)

    def __iter__(self):
        return self._generate_streamlines()

Instances