Changed to dictionary outputs

tests/IVIMmodels/unit_tests/test_ivim_fit.py

@@ -64,15 +64,16 @@ def test_ivim_fit_saved(name, bvals, data, algorithm, xfail, kwargs, tolerances,
     signal, ratio = signal_helper(data["data"])
 
     tolerances = tolerances_helper(tolerances, ratio, data["noise"])
-    [f_fit, Dp_fit, D_fit] = fit.osipi_fit(signal, bvals)
+    #[f_fit, Dp_fit, D_fit] = fit.osipi_fit(signal, bvals)
+    fit_result = fit.osipi_fit(signal, bvals)
     def to_list_if_needed(value):
         return value.tolist() if isinstance(value, np.ndarray) else value
     test_result = {
         "name": name,
         "algorithm": algorithm,
-        "f_fit": to_list_if_needed(f_fit),
-        "Dp_fit": to_list_if_needed(Dp_fit),
-        "D_fit": to_list_if_needed(D_fit),
+        "f_fit": to_list_if_needed(fit_result['f']),
+        "Dp_fit": to_list_if_needed(fit_result['D*']),
+        "D_fit": to_list_if_needed(fit_result['D']),
         "f": to_list_if_needed(data['f']),
         "Dp": to_list_if_needed(data['Dp']),
         "D": to_list_if_needed(data['D']),
@@ -83,9 +84,9 @@ def to_list_if_needed(value):
 
     record_property('test_data', test_result)
 
-    npt.assert_allclose(data['f'], f_fit, rtol=tolerances["rtol"]["f"], atol=tolerances["atol"]["f"])
+    npt.assert_allclose(data['f'], fit_result['f'], rtol=tolerances["rtol"]["f"], atol=tolerances["atol"]["f"])
 
     if data['f']<0.80: # we need some signal for D to be detected
         npt.assert_allclose(data['D'], fit_result['D'], rtol=tolerances["rtol"]["D"], atol=tolerances["atol"]["D"])
     if data['f']>0.03: #we need some f for D* to be interpretable
-        npt.assert_allclose(data['Dp'], Dp_fit, rtol=tolerances["rtol"]["Dp"], atol=tolerances["atol"]["Dp"])
+        npt.assert_allclose(data['Dp'], fit_result['D*'], rtol=tolerances["rtol"]["Dp"], atol=tolerances["atol"]["Dp"])