Activationa and Monitoring example

setup.cfg

@@ -30,4 +30,4 @@ packages = find:
 where = src
 
 [options.extras_require]
-tests = mypy; testbook; ipython; ipykernel
+tests = mypy; testbook; ipython; ipykernel; numpy; matplotlib

tests/examples/test_activation_and_monitoring.py

@@ -0,0 +1,36 @@
+import os
+import math
+
+import numpy as np
+from testbook import testbook
+from testbook.client import TestbookNotebookClient
+
+from ..utils import get_examples_path
+
+examples_path = get_examples_path()
+
+@testbook(os.path.join(examples_path, "Activation and Monitoring.ipynb"), execute=True)
+def test_activation(tb :TestbookNotebookClient):
+    activation_hist = tb.ref("activation_hist.tolist()")
+    input_hist = tb.ref("input_hist.tolist()")
+    sensory_output_hist = tb.ref("sensory_output_hist.tolist()")
+    action_hist = tb.ref("action_hist.tolist()")
+
+    last_sensory_output = sensory_output_hist[0]
+    for i, (activation, input_value, sensory_output, action) in enumerate(zip(activation_hist, input_hist, sensory_output_hist, action_hist)):
+        assert math.isclose(input_value, i/100)
+
+        assert math.isclose(activation, np.clip(input_value, 0.0, 1.0), abs_tol=0.021)
+
+        if i >= 50 and activation < 0.7:
+            expected_sensory = last_sensory_output
+        else:
+             expected_sensory = input_value * 10
+
+        assert math.isclose(sensory_output, expected_sensory, abs_tol=0.21)
+
+        last_sensory_output = sensory_output
+
+    assert math.isclose(action_hist[0], True )
+    assert math.isclose(action_hist[55], False )
+    assert math.isclose(action_hist[-1], True )