import numpy as np
class Caster: def __init__(self, skill_level, abilities): self.skill_level = skill_level self.abilities = abilities Magic Sim Software V25
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 import numpy as np class Caster: def __init__(self,
# Simulate spellcasting outcome = simulate_spellcasting(fireball, novice_wizard, 'weather': 'light rain', 'wind': 'moderate') 'weather': 'light rain'
# Create spell and caster fireball = Spell('Fireball', 'Elemental', 'Verbal and somatic', 3, 20, 'Area') novice_wizard = Caster('Novice', 'intelligence': 12, 'charisma': 8)
This module allows users to create and simulate complex spellcasting scenarios, taking into account various factors that influence spell success.
The user can now analyze the results and adjust the spell's properties or casting parameters to improve its effectiveness.