renaming and making sure baseline is name consistent

.gitignore

@@ -127,3 +127,4 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+.idea/

l2rpn_baselines/pandapowerOPF/pandapowerOPFAgent.py → PandapowerOPFAgent.py

@@ -4,7 +4,7 @@
 import numpy as np
 
 import grid2op
-import l2rpn_baselines.pandapowerOPF.pp_functions as ppf
+import l2rpn_baselines.PandapowerOPFAgent.pp_functions as ppf
 import pandapower as pp
 from grid2op.Agent import Agent
 
@@ -19,7 +19,7 @@ def make_logger():
     return _logger
 
 
-class PandapowerAgent(Agent):
+class PandapowerOPFAgent(Agent):
     """
     The purpose of this agent is to supply a usable base for power system calculations based on the grid2op backend.
     Incoming observations are automatically parsed into a pandapower grid. The grid can then be used for any

l2rpn_baselines/pandapowerOPF/__init__.py → __init__.py

@@ -1,10 +1,10 @@
 __all__ = [
-    "PandapowerAgent",
+    "PandapowerOPFAgent",
     "evaluate",
 ]
 
-from l2rpn_baselines.pandapowerOPF.pandapowerOPFAgent import PandapowerAgent
-from l2rpn_baselines.pandapowerOPF.evaluate import evaluate
+from l2rpn_baselines.PandapowerOPFAgent.PandapowerOPFAgent import PandapowerOPFAgent
+from l2rpn_baselines.PandapowerOPFAgent.evaluate import evaluate
 """
 In the __init__ file, it is expected to export 3 classes with names that depends on the name you gave to your baseline.
 For example, say you chose to write a baseline with the awesome name "XXX" (what an imagination!) you should export

l2rpn_baselines/pandapowerOPF/evaluate.py → evaluate.py

@@ -2,7 +2,7 @@
 import os
 from grid2op.Runner import Runner
 
-from l2rpn_baselines.pandapowerOPF.pandapowerOPFAgent import PandapowerAgent
+from l2rpn_baselines.PandapowerOPFAgent.PandapowerOPFAgent import PandapowerOPFAgent
 from l2rpn_baselines.utils.save_log_gif import save_log_gif
 
 
@@ -59,7 +59,7 @@ def evaluate(env,
     runner_params["verbose"] = verbose
 
     # Instantiate agent
-    agent = PandapowerAgent(env.action_space,
+    agent = PandapowerOPFAgent(env.action_space,
                             env.init_grid_path,  # load initial pandapower grid
                             acceptable_loading_pct=98.0,  # which transformer and line loading is acceptable
                             min_loss_reduction_mwt=10.,  # how big should a loss reduction be to justify an action