import os.path as op

import numpy as np
import numpy.testing as npt

import nibabel as nib
import nibabel.tmpdirs as nbtmp

import dipy.data as dpd
from dipy.reconst.shm import calculate_max_order

from AFQ import csd


def test_fit_csd():
    fdata, fbval, fbvec = dpd.get_data()
    with nbtmp.InTemporaryDirectory() as tmpdir:
        # Convert from npy to txt:
        bvals = np.load(fbval)
        bvecs = np.load(fbvec)
        np.savetxt(op.join(tmpdir, 'bvals.txt'), bvals)
        np.savetxt(op.join(tmpdir, 'bvecs.txt'), bvecs)
        for sh_order in [4, 8]:
            fname = csd.fit_csd(fdata, op.join(tmpdir, 'bvals.txt'),
                                op.join(tmpdir, 'bvecs.txt'),
                                out_dir=tmpdir, sh_order=sh_order)
            npt.assert_(op.exists(fname))
            sh_coeffs_img = nib.load(fname)
            npt.assert_equal(sh_order,
                             calculate_max_order(sh_coeffs_img.shape[-1]))

import os.path as op

import numpy as np
import numpy.testing as npt

import nibabel as nib
import nibabel.tmpdirs as nbtmp

import dipy.data as dpd
from dipy.reconst.shm import calculate_max_order

from AFQ import csd


def test_fit_csd():
    fdata, fbval, fbvec = dpd.get_data('small_64D')
    with nbtmp.InTemporaryDirectory() as tmpdir:
        # Convert from npy to txt:
        bvals = np.load(fbval)
        bvecs = np.load(fbvec)
        np.savetxt(op.join(tmpdir, 'bvals.txt'), bvals)
        np.savetxt(op.join(tmpdir, 'bvecs.txt'), bvecs)
        for sh_order in [4, 6]:
            fname = csd.fit_csd(fdata, op.join(tmpdir, 'bvals.txt'),
                                op.join(tmpdir, 'bvecs.txt'),
                                out_dir=tmpdir, sh_order=sh_order)
            npt.assert_(op.exists(fname))
            sh_coeffs_img = nib.load(fname)
            npt.assert_equal(sh_order,
                             calculate_max_order(sh_coeffs_img.shape[-1]))

Replace the test data set with this one.
Replace the test data set with this one.
