diff --git a/scriptTest.py b/scriptTest.py
deleted file mode 100644
index d2ca3df..0000000
--- a/scriptTest.py
+++ /dev/null
@@ -1,124 +0,0 @@
-import grid2op
-from grid2op.Parameters import Parameters
-from grid2op.Agent import DoNothingAgent, OneChangeThenNothing
-from grid2op.Backend import PandaPowerBackend
-from grid2op.PlotGrid import PlotMatplot, PlotPlotly
-from grid2op.Runner import Runner
-from tqdm import tqdm
-
-from src.Backend.powsybl_backend import PowsyblBackend
-
-
-def run_onechange(backend="powsybl", acts_dict_=None, nb_of_iterations=5, PlotHelper=PlotMatplot):
-    p = Parameters()
-    p.NO_OVERFLOW_DISCONNECTION = True
-    print(f"Backend {backend} passed to run_onechange")
-    if backend == "pypowsybl":
-        print(f"Backend {backend} used")
-        env = grid2op.make(
-            "src\data_test\l2rpn_case14_sandbox_Pypowsybl",
-            backend=PowsyblBackend(detailed_infos_for_cascading_failures=False),
-            param=p
-    )
-    else:
-        print(f"Backend {backend} used")
-        env = grid2op.make(
-            "l2rpn_case14_sandbox",
-            backend=PandaPowerBackend(),
-            param=p
-        )
-    env.set_max_iter(nb_of_iterations)
-    env.seed(42)
-    plot_helper = PlotHelper(env.observation_space)
-    results = dict.fromkeys(acts_dict_.keys())
-    for Agent_name, act_as_dict in acts_dict_.items():
-        # generate the proper class that will perform the first action (encoded by {}) in acts_dict_
-        agent_class = OneChangeThenNothing.gen_next(act_as_dict)
-        # start a runner with this agent
-        runner = Runner(**env.get_params_for_runner(), agentClass=agent_class)
-        # run 2 episode with it
-        *_, episode_data = runner.run(nb_episode=1, pbar=True, add_detailed_output=True)[0]
-        fig = plot_helper.plot_obs(
-            episode_data.observations[1],
-            line_info="p",
-            gen_info="p"
-        )
-        if isinstance(plot_helper, PlotPlotly):
-            fig.write_html(f"Backend {backend} Observation n°{1} - Agent {Agent_name}.html")
-            fig.update_layout(title=f"Backend {backend} Observation n°{1} - Agent {Agent_name}")
-        else:
-            fig.suptitle(f"Backend {backend} Observation n°{1} - Agent {Agent_name}")
-            fig.savefig(f"Grid2Op Backend {backend} Observation n°{1} - Agent {Agent_name}.svg")
-        results[Agent_name] = episode_data
-    return results
-
-
-def run_donoting(backend="powsybl", n_iter=1, PlotHelper=PlotMatplot):
-
-    if backend == "powsybl":
-        env = grid2op.make("src\data_test\l2rpn_case14_sandbox_Pypowsybl",
-                       backend=PowsyblBackend(detailed_infos_for_cascading_failures=False))
-    else:
-        env = grid2op.make("l2rpn_case14_sandbox", backend=PandaPowerBackend())
-
-    env.seed(42)
-    plot_helper = PlotHelper(env.observation_space)
-    my_agent = DoNothingAgent(env.action_space)
-
-    all_obs = []
-    obs = env.reset()
-    all_obs.append(obs)
-    reward = env.reward_range[0]
-    done = False
-    nb_step = 0
-
-    with tqdm(total=env.chronics_handler.max_timestep()) as pbar:
-        while True:
-            action = my_agent.act(obs, reward, done)
-            obs, reward, done, _ = env.step(action)
-            pbar.update(1)
-            if done:
-                break
-            all_obs.append(obs)
-            nb_step += 1
-            fig = plot_helper.plot_obs(
-                obs,
-                line_info="p",
-                gen_info="p"
-            )
-            if isinstance(plot_helper, PlotPlotly):
-                fig.write_html(f"Backend {backend} Observation n°{nb_step}.html")
-                fig.update_layout(title=f"Backend {backend} Observation n°{nb_step}")
-            else:
-                fig.suptitle(f"Backend {backend} Observation n°{nb_step}")
-                fig.savefig(f"Grid2Op Backend {backend} Observation n°{nb_step}.svg")
-            if backend == "powsybl":
-                env.backend._grid.write_network_area_diagram_svg(f"Pyspowsybl Backend {backend} Observation n°{nb_step}.svg")
-            if nb_step == n_iter:
-                break
-    print("Number of timesteps computed: {}".format(nb_step))
-    print("Total maximum number of timesteps possible: {}".format(env.chronics_handler.max_timestep()))
-
-
-if __name__ == "__main__":
-
-    acts_dict_ = {
-        "OneChange_disconnection": {"set_line_status": [(0, -1)]},
-        "OneChange_set_bus": {
-            "set_bus": {
-                "lines_or_id": [(3, 2), (4, 2)],
-                "loads_id": [(0, 2)],
-                "generators_id": [(0, 2)]
-            },
-        },
-        "OneChange_change_bus": {
-            "change_bus": {
-                "lines_or_id": [3, 4],
-                "loads_id": [0],
-                "generators_id": [0]
-            },
-        }
-    }
-    backends = ["pandapower", "pypowsybl"]
-    for backend in backends:
-        results = run_onechange(backend, acts_dict_, nb_of_iterations=3)