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Signed-off-by: DONNOT Benjamin <[email protected]>
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# Copyright (c) 2019-2024, RTE (https://www.rte-france.com) | ||
# See AUTHORS.txt | ||
# This Source Code Form is subject to the terms of the Mozilla Public License, version 2.0. | ||
# If a copy of the Mozilla Public License, version 2.0 was not distributed with this file, | ||
# you can obtain one at http://mozilla.org/MPL/2.0/. | ||
# SPDX-License-Identifier: MPL-2.0 | ||
# This file is part of Grid2Op, Grid2Op a testbed platform to model sequential decision making in power systems. | ||
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from typing import Dict, Union, Literal | ||
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import grid2op | ||
from grid2op.Exceptions import EnvError, ChronicsError | ||
from grid2op.Chronics import ChangeNothing | ||
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class _ObsCH(ChangeNothing): | ||
""" | ||
INTERNAL | ||
.. warning:: /!\\\\ Internal, do not use unless you know what you are doing /!\\\\ | ||
This class is reserved to internal use. Do not attempt to do anything with it. | ||
""" | ||
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# properties that should not be accessed | ||
@property | ||
def chronicsClass(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `chronicsClass`") | ||
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@property | ||
def action_space(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `action_space`") | ||
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@property | ||
def path(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `path`") | ||
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@property | ||
def _real_data(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `_real_data`") | ||
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@property | ||
def kwargs(self): | ||
return {} | ||
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@kwargs.setter | ||
def kwargs(self, new_value): | ||
raise ChronicsError('Impossible to set the "kwargs" attribute') | ||
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@property | ||
def _kwargs(self): | ||
return {} | ||
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@property | ||
def real_data(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `real_data`") | ||
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# functions overriden from the ChronicsHandler class | ||
def forecasts(self): | ||
return [] | ||
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def get_name(self): | ||
return "" | ||
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def next_time_step(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `next_time_step`") | ||
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def max_episode_duration(self): | ||
return 0 | ||
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def seed(self, seed): | ||
""".. warning:: This function is part of the public API of ChronicsHandler but should not do anything here""" | ||
pass | ||
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def cleanup_action_space(self): | ||
""".. warning:: This function is part of the public API of ChronicsHandler but should not do anything here""" | ||
pass | ||
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# methods overriden from the ChronicsHandler class (__getattr__) so forwarded to the Chronics class | ||
@property | ||
def gridvalueClass(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `gridvalueClass`") | ||
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@property | ||
def data(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `data`") | ||
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@property | ||
def sep(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `sep`") | ||
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@property | ||
def subpaths(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `subpaths`") | ||
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@property | ||
def _order(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `_order`") | ||
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@property | ||
def chunk_size(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `chunk_size`") | ||
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@property | ||
def _order_backend_loads(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `_order_backend_loads`") | ||
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@property | ||
def _order_backend_prods(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `_order_backend_prods`") | ||
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@property | ||
def _order_backend_lines(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `_order_backend_lines`") | ||
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@property | ||
def _order_backend_subs(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `_order_backend_subs`") | ||
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@property | ||
def _names_chronics_to_backend(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `_names_chronics_to_backend`") | ||
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@property | ||
def _filter(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `_filter`") | ||
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@property | ||
def _prev_cache_id(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `_prev_cache_id`") | ||
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def done(self): | ||
return True | ||
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def check_validity(self, backend): | ||
return True | ||
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def get_id(self) -> str: | ||
return "" | ||
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def shuffle(self, shuffler=None): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
pass | ||
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def sample_next_chronics(self, probabilities=None): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `sample_next_chronics`") | ||
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def set_chunk_size(self, new_chunk_size): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
pass | ||
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def init_datetime(self): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
pass | ||
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def next_chronics(self): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
pass | ||
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def tell_id(self, id_num, previous=False): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
pass | ||
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def set_filter(self, filter_fun): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
pass | ||
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def set_chunk_size(self, new_chunk_size): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
pass | ||
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def fast_forward(self, nb_timestep): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
pass | ||
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def get_init_action(self, names_chronics_to_backend: Dict[Literal["loads", "prods", "lines"], Dict[str, str]]) -> Union["grid2op.Action.playableAction.PlayableAction", None]: | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `get_init_action`") | ||
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def regenerate_with_new_seed(self): | ||
""" | ||
.. warning:: | ||
This function is part of the public API of ChronicsHandler, | ||
by being accessible through the __getattr__ call that is | ||
forwarded to the GridValue class | ||
It should not do anything here. | ||
""" | ||
pass | ||
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def max_timestep(self): | ||
raise EnvError("There are no time series in the observation from `obs.simulate`, so no `max_timestep`") | ||
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