Revert "Correctly print tensor field"

This reverts commit 7efc2be2f1.

SimCAD/configuration/__init__.py

@@ -8,7 +8,7 @@ from numpy.random import RandomState
 from SimCAD.utils import key_filter
 from SimCAD.configuration.utils.behaviorAggregation import dict_elemwise_sum
 
-
+#Configuration(sim_config, state_dict, seed, exogenous_states, env_processes, mechanisms)
 class Configuration:
     def __init__(self,
                  sim_config,
@@ -26,7 +26,6 @@ class Configuration:
         self.behavior_ops = behavior_ops
         self.mechanisms = mechanisms
 
-
 class Identity:
     def __init__(self, behavior_id={'indentity': 0}):
         self.beh_id_return_val = behavior_id
@@ -59,11 +58,11 @@ class Processor:
         self.state_identity = id.state_identity
         self.apply_identity_funcs = id.apply_identity_funcs
 
-    # Make returntype chosen by user.
+    # Make returntype chosen by user. Must Classify Configs
     def create_matrix_field(self, mechanisms, key):
         if key == 'states':
             identity = self.state_identity
-        elif key == 'behaviors':
+        else:
             identity = self.behavior_identity
         df = pd.DataFrame(key_filter(mechanisms, key))
         col_list = self.apply_identity_funcs(identity, df, list(df.columns))

SimCAD/configuration/utils/__init__.py

@@ -8,7 +8,7 @@ class TensorFieldReport:
     def __init__(self, config_proc):
         self.config_proc = config_proc
 
-    # ??? dont for-loop to apply exo_procs, use exo_proc struct
+    # dont for-loop to apply exo_procs, use exo_proc struct
     def create_tensor_field(self, mechanisms, exo_proc, keys=['behaviors', 'states']):
         dfs = [self.config_proc.create_matrix_field(mechanisms, k) for k in keys]
         df = pd.concat(dfs, axis=1)

SimCAD/engine/__init__.py

@@ -69,14 +69,13 @@ class Executor:
 
         # Dimensions: N x r x mechs
 
-        if self.exec_context == ExecutionMode.single_proc:
-            tensor_field = create_tensor_field(mechanisms.pop(), eps.pop())
-            result = self.exec_method(simulation_execs, states_lists, configs_structs, env_processes_list, Ts, Ns)
-            return (result, tensor_field)
-        elif self.exec_context == ExecutionMode.multi_proc:
+        if self.exec_context == ExecutionMode.multi_proc:
             if len(self.configs) > 1:
                 simulations = self.exec_method(simulation_execs, states_lists, configs_structs, env_processes_list, Ts, Ns)
                 results = []
                 for result, mechanism, ep in list(zip(simulations, mechanisms, eps)):
-                    results.append((flatten(result), create_tensor_field(mechanism, ep)))
-                return results
+                    print(tabulate(create_tensor_field(mechanism, ep), headers='keys', tablefmt='psql'))
+                    results.append(flatten(result))
+                return results
+        else:
+            return self.exec_method(simulation_execs, states_lists, configs_structs, env_processes_list, Ts, Ns)

simulations/sim_test.py

@@ -20,13 +20,9 @@ print()
 first_config = [configs[0]] # from config1
 single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)
 run1 = Executor(exec_context=single_proc_ctx, configs=first_config)
-run1_raw_result, tensor_field  = run1.main()
+run1_raw_result = run1.main()
 result = pd.DataFrame(run1_raw_result)
 # result.to_csv('~/Projects/DiffyQ-SimCAD/results/config4.csv', sep=',')
-print()
-print("Tensor Field:")
-print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
-print("Output:")
 print(tabulate(result, headers='keys', tablefmt='psql'))
 print()
 
@@ -34,11 +30,8 @@ print("Simulation Execution 2: Pairwise Execution")
 print()
 multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)
 run2 = Executor(exec_context=multi_proc_ctx, configs=configs)
-for raw_result, tensor_field in run2.main():
+run2_raw_results = run2.main()
+for raw_result in run2_raw_results:
     result = pd.DataFrame(raw_result)
-    print()
-    print("Tensor Field:")
-    print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
-    print("Output:")
     print(tabulate(result, headers='keys', tablefmt='psql'))
-    print()
+print()