fix test

Author: oesteban

nipype/algorithms/tests/test_stats.py

@@ -15,7 +15,7 @@ def test_ActivationCount(tmpdir):
         nb.Nifti1Image(np.random.normal(size=(5, 5, 5)),
                        np.eye(4)).to_filename(fname)
 
-    acm = ActivationCount(in_files=in_files)
+    acm = ActivationCount(in_files=in_files, threshold=1.65)
     res = acm.run()
     diff = nb.load(res.outputs.out_file)
     pos = nb.load(res.outputs.acm_pos)
@@ -24,10 +24,10 @@ def test_ActivationCount(tmpdir):
 
 
 @pytest.mark.parametrize("threshold, above_thresh", [
-        (1, 15.865), # above one standard deviation (one side)
-        (2, 2.275),  # above two standard deviations (one side)
-        (3, 0.135)   # above three standard deviations (one side)
-        ])
+    (1, 15.865),  # above one standard deviation (one side)
+    (2, 2.275),   # above two standard deviations (one side)
+    (3, 0.135)    # above three standard deviations (one side)
+])
 def test_ActivationCount_normaldistr(tmpdir, threshold, above_thresh):
     tmpdir.chdir()
     in_files = ['{:d}.nii'.format(i) for i in range(3)]
@@ -39,5 +39,7 @@ def test_ActivationCount_normaldistr(tmpdir, threshold, above_thresh):
     res = acm.run()
     pos = nb.load(res.outputs.acm_pos)
     neg = nb.load(res.outputs.acm_neg)
-    assert np.isclose(pos.get_data().mean(), above_thresh*1.e-2, rtol=0.1, atol=1.e-4)
-    assert np.isclose(neg.get_data().mean(), above_thresh*1.e-2, rtol=0.1, atol=1.e-4)
+    assert np.isclose(pos.get_data().mean(),
+                      above_thresh * 1.e-2, rtol=0.1, atol=1.e-4)
+    assert np.isclose(neg.get_data().mean(),
+                      above_thresh * 1.e-2, rtol=0.1, atol=1.e-4)