# rl_coach.filters.action.full_discrete_action_space_map — Reinforcement Learning Coach 0.12.0 documentation

# Source code for rl_coach.filters.action.full_discrete_action_space_map

    #
    # Copyright (c) 2017 Intel Corporation
    #
    # Licensed under the Apache License, Version 2.0 (the "License");
    # you may not use this file except in compliance with the License.
    # You may obtain a copy of the License at
    #
    #      http://www.apache.org/licenses/LICENSE-2.0
    #
    # Unless required by applicable law or agreed to in writing, software
    # distributed under the License is distributed on an "AS IS" BASIS,
    # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    # See the License for the specific language governing permissions and
    # limitations under the License.
    #

    from rl_coach.filters.action.partial_discrete_action_space_map import PartialDiscreteActionSpaceMap
    from rl_coach.spaces import ActionSpace, DiscreteActionSpace

    class FullDiscreteActionSpaceMap(PartialDiscreteActionSpaceMap):
        """
        Full map of two countable action spaces. This works in a similar way to the
        PartialDiscreteActionSpaceMap, but maps the entire source action space into the entire target action space, without
        masking any actions.
        For example, if there are 10 multiselect actions in the output space, the actions 0-9 will be mapped to those
        multiselect actions.
        """
        def __init__(self):
            super().__init__()

        def get_unfiltered_action_space(self, output_action_space: ActionSpace) -> DiscreteActionSpace:
            self.target_actions = output_action_space.actions
            return super().get_unfiltered_action_space(output_action_space)