# Conflicts:
#	CHANGELOG.md
#	cooperative_cuisine/reinforcement_learning/gym_env.py
#	cooperative_cuisine/validation.py

Updated `gym_env.py` and `drawing.py` to use unique environment names (`env_name`) for caching purposes, leveraging UUIDs for better cache management. Revised render and image fetch methods to incorporate the unique environment identifier, ensuring accurate and efficient cache invalidation and retrieval.

Enhanced the 2D image generation by caching backgrounds and optimizing counter placements. Introduced a new visualizer method for direct image sizing and added a benchmark script for drawing speed. Added a utility function for loading configuration files in bulk.

Enhanced visualizer by adding cache flags for background and counters and a reduced background mode for optimization. Adjusted relevant methods across video replay, performance benchmark, gym environment, and GUI code to use the new caching logic.

Deleted obsolete drawing_perf_benchmark.py and replaced it with the more versatile performance_benchmark.py. Consolidated individual config file reads into a unified load_config_files function, which is now used across various modules for increased code readability and maintainability.

Enhanced `get_state_image` to accept a list of controlled players, defaulting to a single player if not provided. This change ensures that the drawing function correctly interprets the input for controlled players, improving the function's flexibility and usability.

Renamed `grid_size` to `node_size` for clarity and consistency. Removed commented-out code and redundant parameters, and optimized some conditional statements to improve readability.

Resolve "Restructure Reinforcement Learning files"

See merge request !98

Inference uses the same configs as the training and instantiates the model load function from the configs.

# Conflicts:
#	cooperative_cuisine/environment.py

Resolve "Deterministic Order Generation"

See merge request !97

Removed unnecessary debug print statements from environment and orders modules. Refined test cases in test_order_manager.py to add clarity and coverage without redundant checks.

Reverted the default study configuration from `study_config_deterministic_order.yaml` back to `study_config.yaml`. This ensures that the standard configuration is used by default as opposed to the deterministic order configuration.

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.

Rearranged the plate configuration setup in `environment.py` and centralized its initialization. Added logging functionality to `validation.py` for better debugging and issue tracking.

Modified the os.walk() function in setup.py to include the "cooperative_cuisine" directory in the path. This ensures all the files inside the specified directory are correctly included in the package.

This commit introduces a function to dynamically include package data files from specified directories. It replaces the hardcoded paths in `package_data` with the newly generated paths from the `package_files` function, ensuring all necessary files from 'configs', 'pygame_2d_vis', and 'reinforcement_learning' are included.

Updated `setup.py` to include `configs`, `pygame_2d_vis`, and `reinforcement_learning` directories in the `package_data`. This ensures that these directories are included in the package distribution for better functionality and resource management.

Fixed a bug with the training configs.