FIX: Add dtypes to nilearn interface/tests

Author: effigies

nipype/interfaces/nilearn.py

@@ -155,7 +155,7 @@ def _process_inputs(self):
         if self.inputs.include_global:
             global_label_data = label_data.dataobj.sum(axis=3)  # sum across all regions
             global_label_data = (
-                np.rint(global_label_data).astype(int).clip(0, 1)
+                np.rint(global_label_data).clip(0, 1).astype('u1')
             )  # binarize
             global_label_data = self._4d(global_label_data, label_data.affine)
             global_masker = nl.NiftiLabelsMasker(

nipype/interfaces/tests/test_nilearn.py

@@ -184,10 +184,11 @@ def assert_expected_output(self, labels, wanted):
                 [[2, -2, -1, -2, -5], [3, 0, 3, -5, -2]],
                 [[-4, -2, -2, 1, -2], [3, 1, 4, -3, -2]],
             ],
-        ]
+        ],
+        np.int16,
     )
 
-    fake_label_data = np.array([[[1, 0], [3, 1]], [[2, 0], [1, 3]]])
+    fake_label_data = np.array([[[1, 0], [3, 1]], [[2, 0], [1, 3]]], np.uint8)
 
     fake_equiv_4d_label_data = np.array(
         [