save problems with pycharm

engine/configProcessor.py

@@ -62,6 +62,6 @@ def create_tensor_field(mechanisms, exo_proc, keys=['behaviors', 'states']):
     dfs = [ create_matrix_field(mechanisms, k) for k in keys ]
     df = pd.concat(dfs, axis=1)
     for es, i in zip(exo_proc, range(len(exo_proc))):
-        df['es'+str(i)] = es
+        df['es'+str(i+1)] = es
     df['m'] = df.index + 1
     return df

engine/mechanismExecutor.py

@@ -27,17 +27,14 @@ def mech_step(m_step, sL, state_funcs, behavior_funcs, env_processes, t_step):
     last_in_obj = sL[-1]
 
     _input = exception_handler(getBehaviorInput, m_step, sL, last_in_obj, behavior_funcs)
-    # del last_in_obj
 
     last_in_copy = dict([ exception_handler(f, m_step, sL, last_in_obj, _input) for f in state_funcs ])
-    # print(str(m_step) + ': ' + str(last_in_copy))
+    del last_in_obj # print(str(m_step) + ': ' + str(last_in_copy))
 
-    # mutating last_in_copy
-    apply_env_proc(env_processes, last_in_copy, last_in_copy['timestamp'])
+    apply_env_proc(env_processes, last_in_copy, last_in_copy['timestamp']) # mutating last_in_copy
 
     last_in_copy["mech_step"], last_in_copy["time_step"] = m_step, t_step
     sL.append(last_in_copy)
-
     del last_in_copy
 
     return sL

engine/run.py

@@ -23,7 +23,7 @@ def main():
     # Dimensions: N x r x mechs
     s = simulation(states_list, configs, env_processes, T, N)
     result = pd.DataFrame(flatten(s))
-    print('Test')
+    # print('Test')
 #    print(tabulate(result, headers='keys', tablefmt='psql'))
 # remove print and tabulate functions, so it returns a dataframe
     return result

ui/config.py

@@ -114,32 +114,32 @@ behavior_ops = [foldr(_ + _), lambda x: x + 0]
 mechanisms = {
     "m1": {
         "behaviors": {
-            "b1": b1m1, # lambda step, sL, s: s['s1'] + 1,
-            "b2": b2m1
+            # "b1": b1m1, # lambda step, sL, s: s['s1'] + 1,
+            # "b2": b2m1
         },
         "states": { # exclude only. TypeError: reduce() of empty sequence with no initial value
             "s1": s1m1,
-            "s2": s2m1
+            # "s2": s2m1
         }
     },
     "m2": {
         "behaviors": {
             "b1": b1m2,
-            "b2": b2m2
+            # "b2": b2m2
         },
         "states": {
-            "s1": s1m2,
-            "s2": s2m2
+            # "s1": s1m2,
+            # "s2": s2m2
         }
     },
     "m3": {
         "behaviors": {
-            "b1": b1m3,
-            "b2": b2m3 #toggle for error
+            # "b1": b1m3,
+            # "b2": b2m3 #toggle for error
         },
         "states": {
-            "s1": s1m3,
-            "s2": s2m3
+            # "s1": s1m3,
+            # "s2": s2m3
         }
     }
 }