fixed failing test

python/tests/test_Cluster.py

@@ -103,15 +103,18 @@ def test_max_sum():
 
 def test_cluster_finder(): 
     """Test ClusterFinder""" 
+    shape = [100,100]
+    cf = _aare.ClusterFinder_Cluster3x3i(shape)
 
-    clusterfinder = _aare.ClusterFinder_Cluster3x3i([100,100])
+    #Push 1000 frames to the pedestal
+    for i in range(1000):
+        frame = np.random.normal(loc = 100, scale = 5, size = shape).astype(np.uint16)
+        cf.push_pedestal_frame(frame)
+    cf.update_threshold()
+    frame = np.zeros(shape=shape, dtype=np.uint16)
+    cf.find_clusters(frame)
 
-    #frame = np.random.rand(100,100)
-    frame = np.zeros(shape=[100,100])
-
-    clusterfinder.find_clusters(frame)
-
-    clusters = clusterfinder.steal_clusters(False) #conversion does not work
+    clusters = cf.steal_clusters(False) #conversion does not work
 
     assert clusters.size == 0
 

python/tests/test_FastPedestal.py

@@ -15,7 +15,7 @@ def test_fast_pedestal_initialization(pedestal_type, expected_dtype):
 
     pedestal.push_init(first)
     pedestal.push_init(second)
-    pedestal.update_mean()
+
 
     expected_mean = np.array(
         [[3, 5, 7], [9, 11, 13]], dtype=expected_dtype
@@ -28,7 +28,7 @@ def test_fast_pedestal_steady_state_push():
     pedestal = FastPedestal_d(1, 2, 2)
     pedestal.push_init(np.array([[2, 4]], dtype=np.uint16))
     pedestal.push_init(np.array([[4, 6]], dtype=np.uint16))
-    pedestal.update_mean()
+
 
     pedestal.push(np.array([[6, 8]], dtype=np.uint16))
 
@@ -38,7 +38,7 @@ def test_fast_pedestal_steady_state_push():
 def test_fast_pedestal_exposes_read_only_buffer_and_subtraction():
     pedestal = FastPedestal_d(1, 2, 1)
     pedestal.push_init(np.array([[2, 4]], dtype=np.uint16))
-    pedestal.update_mean()
+
 
     view = np.asarray(pedestal)
     result = np.array([[12, 14]], dtype=np.uint16) - pedestal