Improved plan generator

[cytadela8]

This change is 

[Copilot]

Pull Request Overview

This PR modernizes and refactors the workshop plan generator by migrating to Python 3, introducing CLI argument parsing, and restructuring the core plan optimization and evaluation logic.

• Switch script to Python 3 and add argparse-based CLI
• Refactor user/workshop initialization and participation processing
• Enhance Plan class with constants-driven mutations, evaluation, and optimization

Comments suppressed due to low confidence (2)

make_plan.py:60

• The comment states "2023 WWW workshops" but the dates refer to 2025; please update the comment to reflect the correct year.

# Block dates for 2023 WWW workshops

make_plan.py:104

• [nitpick] The key name 'part' is ambiguous; consider renaming it to 'participation' or 'registered_workshops' for clarity.

        users_dict[uid]['part'] = set()  # Workshops the user participates in

[Copilot]

The variable points is used here without being initialized at the start of evaluate. You should initialize points (and similarly points_col) to 0 before applying penalties.

[Copilot]

The word "colisions" (and "colision") is misspelled; it should be "collisions".

Suggested change

	print("colisions total = {sum}, colision users total = {users}".format(
	print("collisions total = {sum}, collision users total = {users}".format(

[Copilot]

This function relies on the global workshops variable but only receives workshop_ids. Consider passing the workshops dict as an explicit parameter to reduce hidden global dependencies.

Suggested change

	def process_participation(participation_data, users_dict, workshop_ids):
	"""Process participation data to track which users are participating in which workshops.
	Args:
	participation_data: List of participation records with uid and wid
	users_dict: Dictionary of users with initialized blocks and participation sets
	workshop_ids: List of workshop IDs
	def process_participation(participation_data, users_dict, workshop_ids, workshops):
	"""Process participation data to track which users are participating in which workshops.
	Args:
	participation_data: List of participation records with uid and wid
	users_dict: Dictionary of users with initialized blocks and participation sets
	workshop_ids: List of workshop IDs
	workshops: Dictionary of workshop data