V25 — Magic Sim Software

A very specific request!

def simulate_spellcasting(spell, caster, environmental_factors): # Define probability distribution based on spell, caster, and environmental factors probabilities = 'success': 0.4, 'partial_success': 0.25, 'failure': 0.2, 'critical_success': 0.05, 'critical_failure': 0.1 # Run simulation and generate outcome outcome = np.random.choice(list(probabilities.keys()), p=list(probabilities.values())) return outcome Magic Sim Software V25

class Caster: def __init__(self, skill_level, abilities): self.skill_level = skill_level self.abilities = abilities A very specific request

class Spell: def __init__(self, name, school, incantation_type, casting_time, range_, target_type): self.name = name self.school = school self.incantation_type = incantation_type self.casting_time = casting_time self.range_ = range_ self.target_type = target_type A very specific request! def simulate_spellcasting(spell

The user can now analyze the results and adjust the spell's properties or casting parameters to improve its effectiveness.

import numpy as np