Refactored the deterministic order generation system to use timed orders with start and duration parsed via pytimeparse. Adjusted configuration files and updated test cases accordingly to cover new functionality and ensure correctness.

Adapted config files to have one study with deterministic order and one with random order. In the argument_parser.py there is one argument to switch between both variants. Inserted a Study Config paragraph in the readme about that.

Adapted Deterministic OrderGeneration to use the **kwargs. Additionally, changed the indexing of the loop.
The problem with the config is still existing even after reinstall the enironment

Addedd a DeterministicOrderGeneration. Within the config you can now specify a list of meals, their start time and their duration and then the orders will be always given at the same time with the same duration. This is beneficial for studies.

Updated Args in docstrings.

Recipe graphs now include the names of 'interactive_counter' and 'equipment' in Cooperative Cuisine. Updated the random agent to also receive recipe graphs information. These changes were implemented to enhance functionality and efficiently retrieve required information.

Score is calculated when recipe graph is created and shown next to recipes. Score of order is shown in game.

A logging functionality has been added to record participant connections in the study_server.py. The logs, which include the participant's IP, environment ID, level info, and player info, are stored in the directory specified in the study_config.yaml file. Moreover, the participant's host IP is now provided when retrieving their game connection.

The 'game_ended_step' has been added to both 'environment_config_no_validation.yaml' and 'environment_config.yaml' files. This state will trigger at the end of each game, and now it'll be recognized by the system.

The code now contains a new hook named "additional_state_update" and accommodates accepting additional state content. This functionality is used to better manage player readiness states in the game_server module and includes updates to the get_state and get_json_state methods in the environment module. New changes also impact the environment configuration files.