Release v1.9.2

• [BREAKING] rename with filename starting with lowercase all the files in the "Backend", "Action" and
  "Environment" modules. This is both consistent with python practice but allows also to make the
  difference between the files in the
  module and the class imported. This should have little to no impact on all codes but to "upgrade"
  instead of from grid2op.Action.BaseAction import BaseAction (which you should not have done in the first place)
  just do from grid2op.Action import BaseAction. Expect other changes like this for other grid2op modules
  in the near future.
• [FIXED] broken environ "l2rpn_idf_2023" (with test=True) due to the presence of a __pycache__ folder
• [FIXED] time series MultiFolder will now ignore folder __pycache__
• [FIXED] an issue with compatibility with previous versions (due to alert)
• [FIXED] an issue with the _ObsEnv when using reward that could not be used in forecast (self.is_simulated_env()
  was not working as expected due to a wrong init of the reward in _ObsEnv)
• [FIXED] an issue when disconnecting loads / generators / storage units and changing their values in the same
  action: the behaviour could depend on the backend. As of 1.9.2 the "disconnections" have the priority (if
  an action disconnect an element, it will not change its sepoint at the same time).
• [FIXED] a bug in AlertReward due to reset not being called.
• [FIXED] issue #494
• [ADDED] the score function used for the L2RPN 2023 competition (Paris Area)
• [IMPROVED] overall performances by calling arr.sum() or arr.any() instead of np.sum(arr) or
  np.any(arr) see https://numpy.org/neps/nep-0018-array-function-protocol.html#performance
• [IMPROVED] overall performance of obs.simulate function by improving speed of copy of _BackendAction
• [IMPROVED] overall performance of env.step / obs.simulate by preventing unnecessary observation deep copy
• [IMPROVED] overall performance of env.step / obs.simulate by switching to copy.deepcopy(obs) instead of
  obs.copy()