restore overriden version of duplicate test

tests/test_jump.py

@@ -433,49 +433,36 @@ def test_find_faint_extended_sigclip():
     nint, ngrps, ncols, nrows = 101, 6, 30, 30
     data = np.zeros(shape=(nint, ngrps, nrows, ncols), dtype=np.float32)
     gdq = np.zeros_like(data, dtype=np.uint8)
-    pdq = np.zeros(shape=(nrows, ncols), dtype=np.uint8)
+    pdq = np.zeros(shape=(nrows, ncols), dtype=np.int32)
     gain = 4
     readnoise = np.ones(shape=(nrows, ncols), dtype=np.float32) * 6.0 * gain
     rng = np.random.default_rng(12345)
     data[0, 1:, 14:20, 15:20] = 6 * gain * 1.7
     data = data + rng.normal(size=(nint, ngrps, nrows, ncols)) * readnoise
-    min_shower_area=20
-    gdq, num_showers = find_faint_extended(
-        data,
-        gdq,
-        pdq,
-        readnoise,
-        1,
-        100,
-        DQFLAGS,
-        snr_threshold=1.3,
-        min_shower_area=min_shower_area,
-        inner=1,
-        outer=2,
-        sat_flag=2,
-        jump_flag=4,
-        ellipse_expand=1.1,
-        num_grps_masked=3,
-    )
+    gdq, num_showers = find_faint_extended(data, gdq, pdq, readnoise, 1, 100,
+                                           snr_threshold=1.3,
+                                           min_shower_area=20, inner=1,
+                                           outer=2, sat_flag=2, jump_flag=4,
+                                           ellipse_expand=1.1, num_grps_masked=3,
+                                           dqflags=DQFLAGS)
     #  Check that all the expected samples in group 2 are flagged as jump and
     #  that they are not flagged outside
-    assert num_showers == 0
-    assert np.all(gdq[0, 1, 22, 14:23] == 0)
-    assert np.all(gdq[0, 1, 21, 16:20] == 0)
-    assert np.all(gdq[0, 1, 20, 15:22] == 0)
-    assert np.all(gdq[0, 1, 19, 15:23] == 0)
-    assert np.all(gdq[0, 1, 18, 14:23] == 0)
-    assert np.all(gdq[0, 1, 17, 14:23] == 0)
-    assert np.all(gdq[0, 1, 16, 14:23] == 0)
-    assert np.all(gdq[0, 1, 15, 14:22] == 0)
-    assert np.all(gdq[0, 1, 14, 16:22] == 0)
-    assert np.all(gdq[0, 1, 13, 17:21] == 0)
-    assert np.all(gdq[0, 1, 12, 14:23] == 0)
-    assert np.all(gdq[0, 1, 12:23, 24] == 0)
-    assert np.all(gdq[0, 1, 12:23, 13] == 0)
+    assert (np.all(gdq[0, 1, 22, 14:23] == 0))
+    assert (np.all(gdq[0, 1, 21, 16:20] == 0))
+    assert (np.all(gdq[0, 1, 20, 15:22] == 0))
+    assert (np.all(gdq[0, 1, 19, 15:23] == 0))
+    assert (np.all(gdq[0, 1, 18, 14:23] == 0))
+    assert (np.all(gdq[0, 1, 17, 14:23] == 0))
+    assert (np.all(gdq[0, 1, 16, 14:23] == 0))
+    assert (np.all(gdq[0, 1, 15, 14:22] == 0))
+    assert (np.all(gdq[0, 1, 14, 16:22] == 0))
+    assert (np.all(gdq[0, 1, 13, 17:21] == 0))
+    assert (np.all(gdq[0, 1, 12, 14:23] == 0))
+    assert (np.all(gdq[0, 1, 12:23, 24] == 0))
+    assert (np.all(gdq[0, 1, 12:23, 13] == 0))
 
     #  Check that the flags are not applied in the 3rd group after the event
-    assert np.all(gdq[0, 4, 12:22, 14:23]) == 0
+    assert (np.all(gdq[0, 4, 12:22, 14:23]) == 0)
 
 
 def test_inside_ellipse5():