Started working on extended unit tests of the MHOD algorithm

neat/locals/overload/mhod/core.py

@@ -145,11 +145,19 @@ def mhod(state_config, otf, window_sizes, bruteforce_step, learning_steps,
         state['estimate_windows'],
         selected_windows)
 
+    # These two are saved for testing purposes
+    state['selected_windows'] = selected_windows
+    state['p'] = p
+
     log.debug('MHOD utilization:' + str(utilization))
     if len(utilization) >= learning_steps:
         state_history = utilization_to_states(state_config, utilization)
         time_in_states = total_time
         time_in_state_n = get_time_in_state_n(state_config, state_history)
+        # These two are saved for testing purposes
+        state['time_in_states'] = time_in_states
+        state['time_in_state_n'] = time_in_state_n
+
         log.debug('MHOD state_history:' + str(state_history))
         log.debug('MHOD time_in_states:' + str(time_in_states))
         log.debug('MHOD time_in_state_n:' + str(time_in_state_n))
@@ -161,6 +169,8 @@ def mhod(state_config, otf, window_sizes, bruteforce_step, learning_steps,
             policy = bruteforce.optimize(
                 bruteforce_step, 1.0, otf, (migration_time / time_step),
                 ls, p, state_vector, time_in_states, time_in_state_n)
+            # This is saved for testing purposes
+            state['policy'] = policy
             log.debug('MHOD policy:' + str(policy))
             command = issue_command_deterministic(policy)
             log.debug('MHOD command:' + str(command))