Release v1.5.1

CHANGELOG.rst

@@ -22,7 +22,11 @@ Change Log
 - [???] "asynch" multienv
 - [???] properly model interconnecting powerlines
 
-[1.5.1] - 2021-xx-yy
+[1.5.2] - 2021-xx-yy
+-----------------------
+
+
+[1.5.1] - 2021-04-15
 -----------------------
 - [FIXED]: `Issue #187 <https://github.com/rte-france/Grid2Op/issues/187>`_: improve the computation and the
   documentation of the `RedispReward`. This has an impact on the `env.reward_range` of all environments using this
@@ -44,7 +48,6 @@ Change Log
 - [IMPROVED] better handling of dynamically generated classes
 - [IMPROVED] the documentation of the opponent
 
-
 [1.5.0] - 2021-03-31
 -------------------------
 - [BREAKING] `backend.check_kirchoff()` method now returns also the discrepancy in the voltage magnitude

grid2op/data_test/runner_data/res_agent_1.5.1/00/episode_meta.json

@@ -3,9 +3,9 @@
     "backend_type": "PandaPowerBackend_rte_case5_example",
     "chronics_max_timestep": "100",
     "chronics_path": "/home/benjamin/Documents/grid2op_dev/grid2op/data/rte_case5_example/chronics/00",
-    "cumulative_reward": 37.502830505371094,
+    "cumulative_reward": 0.0,
     "env_seed": null,
     "env_type": "Environment_rte_case5_example",
     "grid_path": "/home/benjamin/Documents/grid2op_dev/grid2op/data/rte_case5_example/grid.json",
-    "nb_timestep_played": 6
+    "nb_timestep_played": 1
 }

grid2op/data_test/runner_data/res_agent_1.5.1/00/episode_times.json

@@ -1,12 +1,12 @@
 {
     "Agent": {
-        "total": 0.00010251998901367188
+        "total": 2.0503997802734375e-05
     },
     "Env": {
-        "apply_act": 0.010029792785644531,
-        "observation_computation": 0.004518985748291016,
-        "powerflow_computation": 0.05923271179199219,
-        "total": 0.07378149032592773
+        "apply_act": 0.001481771469116211,
+        "observation_computation": 0.0,
+        "powerflow_computation": 0.028383970260620117,
+        "total": 0.029865741729736328
     },
-    "total": 0.07520532608032227
+    "total": 0.030279874801635742
 }

grid2op/data_test/runner_data/res_agent_1.5.1/00/other_rewards.json

@@ -1,8 +1,3 @@
 [
-    {},
-    {},
-    {},
-    {},
-    {},
     {}
 ]

grid2op/data_test/runner_data/res_agent_1.5.1/01/episode_meta.json

@@ -3,9 +3,9 @@
     "backend_type": "PandaPowerBackend_rte_case5_example",
     "chronics_max_timestep": "100",
     "chronics_path": "/home/benjamin/Documents/grid2op_dev/grid2op/data/rte_case5_example/chronics/01",
-    "cumulative_reward": 38.258155822753906,
+    "cumulative_reward": 20.050968170166016,
     "env_seed": null,
     "env_type": "Environment_rte_case5_example",
     "grid_path": "/home/benjamin/Documents/grid2op_dev/grid2op/data/rte_case5_example/grid.json",
-    "nb_timestep_played": 8
+    "nb_timestep_played": 4
 }

grid2op/data_test/runner_data/res_agent_1.5.1/01/episode_times.json

@@ -1,12 +1,12 @@
 {
     "Agent": {
-        "total": 0.00012922286987304688
+        "total": 6.771087646484375e-05
     },
     "Env": {
-        "apply_act": 0.013208627700805664,
-        "observation_computation": 0.0063173770904541016,
-        "powerflow_computation": 0.07867813110351562,
-        "total": 0.09820413589477539
+        "apply_act": 0.00645136833190918,
+        "observation_computation": 0.0027112960815429688,
+        "powerflow_computation": 0.05721402168273926,
+        "total": 0.0663766860961914
     },
-    "total": 0.1000680923461914
+    "total": 0.06735634803771973
 }

grid2op/data_test/runner_data/res_agent_1.5.1/01/other_rewards.json

@@ -1,8 +1,4 @@
 [
-    {},
-    {},
-    {},
-    {},
     {},
     {},
     {},

grid2op/tests/test_MultiProcess.py

@@ -67,8 +67,8 @@ def test_simulate(self):
         env_name = "l2rpn_case14_sandbox"
         with warnings.catch_warnings():
             warnings.filterwarnings("ignore")
-            env1 = grid2op.make(env_name)
-            env2 = grid2op.make(env_name)
+            env1 = grid2op.make(env_name, test=True)
+            env2 = grid2op.make(env_name, test=True)
 
         multi_env = BaseMultiProcessEnvironment([env1, env2])
         obss = multi_env.reset()