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The large environment is smaller in size than the small environment #5

@Mleyliabadi

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@Mleyliabadi

After examining both small and large environments (ai4realnet_small) and (ai4realnet_large), they occupies 11 and 4 Mb on disk respectively. Is it normal ?

Also I could not make the large environment using the following code and using grid2op version '1.9.0' :

import grid2op
env_large = grid2op.make(dataset="ai4realnet_large")

I have the following error

cannot import name 'AlertReward' from 'grid2op.Reward' (/home/milad/miniconda3/envs/l2rpn_baselines_old/lib/python3.7/site-packages/grid2op/Reward/__init__.py)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/milad/miniconda3/envs/l2rpn_baselines_old/lib/python3.7/site-packages/grid2op/MakeEnv/Make.py", line 386, in make
    **kwargs
  File "/home/milad/miniconda3/envs/l2rpn_baselines_old/lib/python3.7/site-packages/grid2op/MakeEnv/MakeFromPath.py", line 339, in make_from_dataset_path
    ) from None
grid2op.Exceptions.EnvExceptions.EnvError: Grid2OpException EnvError "Invalid dataset config file: /home/milad/repos/Gitlab/deepqexpert/ai4realnet_large/config.py"

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