############ Wrappers ############ *Sinergym* has several **wrappers** in order to add some functionality in the environment that it doesn't have by default. Currently, we have developed a **normalization wrapper**, **multi-observation wrapper**, **multi-objective wrapper** and **Logger wrapper**. The code can be found in `sinergym/sinergym/utils/wrappers.py `__. You can implement your own wrappers inheriting from *gym.Wrapper* or some of its variants. - **NormalizeObservation**: It is used to transform observation received from simulator in values between 0 and 1. - **LoggerWrapper**: Wrapper for logging all interactions between agent and environment. Logger class can be selected in the constructor if other type of logging is required. For more information about *Sinergym* Logger visit :ref:`Logger`. - **MultiObjectiveReward**: Environment step will return a vector reward (selected elements in wrapper constructor, one for each objective) instead of a traditional scalar value. See `#301 `__. - **MultiObsWrapper**: Stack observation received in a history queue (size can be customized). - **DatetimeWrapper**: Wrapper to substitute day value by is_weekend flag, and hour and month by sin and cos values. Observation space is updated automatically. - **PreviousObservationWrapper**: Wrapper to add observation values from previous timestep to current environment observation. It is possible to select the variables you want to track its previous observation values. - **DiscreteIncrementalWrapper**: A wrapper for an incremental discrete setpoint action space environment. A discrete environment with only temperature setpoints control must be used with this wrapper. .. note:: For examples about how to use these wrappers, visit :ref:`Wrappers example`. .. warning:: The order of wrappers if you are going to use several at the same time is really important. The correct order is **Normalization - Logger - Multi-Objectives - MultiObs** and subsets (for example, *Normalization* - *Multiobs* is valid). It is recommended not to use several Wrappers whose action and/or observation space is modified at the same time. .. warning:: If you add new observation variables to the environment than the default ones, you have to update the **value range dictionary** in `sinergym/sinergym/utils/constants.py `__ so that normalization can be applied correctly. Otherwise, you will encounter bug `#249 `__.