still trying to coverage grid2op

Signed-off-by: DONNOT Benjamin <[email protected]>

Author: BDonnot

.github/workflows/main.yml

@@ -84,7 +84,7 @@ jobs:
         if: matrix.python.name == 'cp312'
         run: |
           python -m pip install --upgrade coverage
-          python -m pip install --use-wheel --no-index --find-links=dist/ grid2op[test]
+          python -m pip install --find-links=dist/ grid2op[test]
           cd grid2op/tests
           coverage run -m unittest discover
           coverage xml -i 

CHANGELOG.rst

@@ -175,6 +175,7 @@ Native multi agents support:
 - [ADDED] possibility to set the initial time stamp of the observation in the `env.reset`
   kwargs by using `env.reset(..., options={"init datetime": XXX})`
 - [ADDED] the `ChangeNothing` time series class now supports forecast
+- [ADDED] test coverage on the CI
 - [IMPROVED] possibility to set the injections values with names
   to be consistent with other way to set the actions (*eg* set_bus)
 - [IMPROVED] error messages when creating an action which changes the injections

grid2op/tests/test_BackendAction.py

@@ -452,10 +452,11 @@ def test_get_bus_global(self):
         assert (type(self.env).local_bus_to_global(local, type(self.env).shunt_to_subid) == global_).all()
 
         # other
-        for attr_nm in ["storages", "lines_ex", "lines_or", "gens_bus", "loads"]:
-            global_ = getattr(self.env._backend_action, f"get_{attr_nm}_bus_global")()
-            local_ = getattr(self.env._backend_action, f"get_{attr_nm}_bus")()
-            # TODO
+        for attr_nm, attr_nm_env in zip(["storages", "lines_ex", "lines_or", "gens", "loads"],
+                                        ["storage", "line_ex", "line_or", "gen", "load"]):
+            global_ = getattr(self.env._backend_action, f"get_{attr_nm}_bus_global")().values
+            local_ = getattr(self.env._backend_action, f"get_{attr_nm}_bus")().values
+            assert (type(self.env).local_bus_to_global(local_, getattr(type(self.env), f"{attr_nm_env}_to_subid")) == global_).all()