FIX: Set dtypes for integer test images

NiBabel 4 began warning that int64 images would error, and NiBabel 5
began erroring if not passed an explicit dtype or header.

We don't need int64 images, just set some sensible dtypes.

Author: effigies

nipype/algorithms/tests/test_ErrorMap.py

@@ -17,7 +17,7 @@ def test_errormap(tmpdir):
     volume1 = np.array([[[2.0, 8.0], [1.0, 2.0]], [[1.0, 9.0], [0.0, 3.0]]])
     # Alan Turing's birthday
     volume2 = np.array([[[0.0, 7.0], [2.0, 3.0]], [[1.0, 9.0], [1.0, 2.0]]])
-    mask = np.array([[[1, 0], [0, 1]], [[1, 0], [0, 1]]])
+    mask = np.array([[[1, 0], [0, 1]], [[1, 0], [0, 1]]], dtype=np.uint8)
 
     img1 = nb.Nifti1Image(volume1, np.eye(4))
     img2 = nb.Nifti1Image(volume2, np.eye(4))

nipype/algorithms/tests/test_TSNR.py

@@ -131,5 +131,6 @@ def assert_unchanged(self, expected_ranges):
         [
             [[[2, 4, 3, 9, 1], [3, 6, 4, 7, 4]], [[8, 3, 4, 6, 2], [4, 0, 4, 4, 2]]],
             [[[9, 7, 5, 5, 7], [7, 8, 4, 8, 4]], [[0, 4, 7, 1, 7], [6, 8, 8, 8, 7]]],
-        ]
+        ],
+        dtype=np.int16,
     )

nipype/algorithms/tests/test_metrics.py

@@ -45,7 +45,7 @@ def test_fuzzy_overlap(tmpdir):
 
     # Just considering the mask, the central pixel
     # that raised the index now is left aside.
-    data = np.zeros((3, 3, 3), dtype=int)
+    data = np.zeros((3, 3, 3), dtype=np.uint8)
     data[0, 0, 0] = 1
     data[2, 2, 2] = 1
     nb.Nifti1Image(data, np.eye(4)).to_filename("mask.nii.gz")