diff --git a/openquake/wkf/tests/adaptive_smoothing_wkf_test.py b/openquake/wkf/tests/adaptive_smoothing_wkf_test.py
index bf7395dd7..6b89e2bab 100644
--- a/openquake/wkf/tests/adaptive_smoothing_wkf_test.py
+++ b/openquake/wkf/tests/adaptive_smoothing_wkf_test.py
@@ -12,7 +12,8 @@
 from openquake.hmtk.parsers.catalogue import CsvCatalogueParser
 from pathlib import Path
 
-HERE = os.path.dirname(__file__)
+HERE = Path(__file__).parent
+#HERE = os.path.dirname(__file__)
 DATA_PATH = os.path.relpath(os.path.join(HERE, 'data', 'adap_smooth'))
 
 class AdaptiveSmoothingTestwkf(unittest.TestCase):
@@ -85,30 +86,30 @@ def test_adap_smooth(self):
         computed = pd.read_csv(fname_out)
         np.testing.assert_almost_equal(expected, computed['nocc'], decimal=4)
     
-#    def test_adap_smoothing_wkf(self):
-#        """ Test adaptive smoothing build """
-#
-#        # set up tmp directory and tmp file 
-#        tmpdir = Path(tempfile.gettempdir())
-#        if not os.path.exists(tmpdir):
-#            os.makedirs(tmpdir)
+    def test_adap_smoothing_wkf(self):
+        """ Test adaptive smoothing build """
+
+        # set up tmp directory and tmp file 
+        tmpdir = Path(tempfile.gettempdir())
+        if not os.path.exists(tmpdir):
+            os.makedirs(tmpdir)
         
-#        folder_out = tempfile.mkdtemp(suffix='adapsmooth', prefix=None, dir=tmpdir)
-#        fname_out = '{}/smooth_adap.csv'.format(folder_out)
+        folder_out = tempfile.mkdtemp(suffix='adapsmooth', prefix=None, dir=tmpdir)
+        fname_out = '{}/smooth_adap.csv'.format(folder_out)
 
-#        config = os.path.join(DATA_PATH, 'smooth_config.toml')
-#        fname_h3 = os.path.join(DATA_PATH, 'mapping_h2.csv')
+        config = os.path.join(DATA_PATH, 'smooth_config.toml')
+        fname_h3 = os.path.join(DATA_PATH, 'mapping_h2.csv')
         
         # Run the code
-#        cmd = f"oqm wkf wkf_adaptive_smoothing {self.fname} {fname_h3} {config} {fname_out}"
-#        p = subprocess.run(cmd, shell=True)
+        cmd = f"oqm wkf wkf_adaptive_smoothing {self.fname} {fname_h3} {config} {fname_out}"
+        p = subprocess.run(cmd, shell=True)
 
-#        assert p.returncode == 0
+        assert p.returncode == 0
 
-#        expected = np.array([0.000984, 0.000983, 0.001360, 0.001375,0.002249,
-#        0.002325, 0.000881, 0.001852, 0.001765, 0.002598, 0.002911, 0.000004,
-#        0.000044, 0.000926, 0.000099, 0.002677, 0.001304])
+        expected = np.array([0.000984, 0.000983, 0.001360, 0.001375,0.002249,
+        0.002325, 0.000881, 0.001852, 0.001765, 0.002598, 0.002911, 0.000004,
+        0.000044, 0.000926, 0.000099, 0.002677, 0.001304])
 
         # set up an expected
-#        computed = pd.read_csv(fname_out)
-#        np.testing.assert_almost_equal(expected, computed['nocc'], decimal=4)
+        computed = pd.read_csv(fname_out)
+        np.testing.assert_almost_equal(expected, computed['nocc'], decimal=4)