0162a1e774202c7336f1225957cb32d2d308bef5,dipy/reconst/tests/test_dti.py,,test_WLS_and_LS_fit,#,241

Before Change

    //test 0d tensor
    y = Y[0]
    tensor_est = dti.Tensor(y, bval, gtab.T, min_signal=1e-8)
    assert_equal(tensor_est.shape, tuple())
    assert_array_almost_equal(tensor_est.evals, evals)
    assert_array_almost_equal(tensor_est.D, tensor)
    assert_almost_equal(tensor_est.md(), md)

After Change

    ////// Testing WLS Fit on Single Voxel //////
    //Estimate tensor from test signals
    model = TensorModel(gtab, min_signal=1e-8, fit_method="WLS")
    tensor_est = model.fit(Y)
    assert_equal(tensor_est.shape, Y.shape[:-1])
    assert_array_almost_equal(tensor_est.evals[0], evals)
    assert_array_almost_equal(tensor_est.quadratic_form[0], tensor,
                              err_msg= "Calculation of tensor from Y does not "
                                       "compare to analytical solution")
    assert_almost_equal(tensor_est.md[0], md)

    // Test that we can fit a single voxel"s worth of data (a 1d array)
    y = Y[0]
    tensor_est = model.fit(y)
    assert_equal(tensor_est.shape, tuple())
    assert_array_almost_equal(tensor_est.evals, evals)
    assert_array_almost_equal(tensor_est.quadratic_form, tensor)
    assert_almost_equal(tensor_est.md, md)

Instances