mirror of
https://github.com/gsi-upm/soil
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121 lines
3.9 KiB
Python
121 lines
3.9 KiB
Python
from soil.agents import FSM, state, default_state, BaseAgent
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from enum import Enum
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from random import random, choice
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from itertools import islice
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import logging
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import math
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class Genders(Enum):
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male = 'male'
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female = 'female'
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class RabbitModel(FSM):
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level = logging.INFO
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defaults = {
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'age': 0,
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'gender': Genders.male.value,
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'mating_prob': 0.001,
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'offspring': 0,
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}
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sexual_maturity = 4*30
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life_expectancy = 365 * 3
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gestation = 33
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pregnancy = -1
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max_females = 5
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@default_state
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@state
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def newborn(self):
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self['age'] += 1
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if self['age'] >= self.sexual_maturity:
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return self.fertile
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@state
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def fertile(self):
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self['age'] += 1
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if self['age'] > self.life_expectancy:
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return self.dead
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if self['gender'] == Genders.female.value:
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return
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# Males try to mate
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females = self.get_agents(state_id=self.fertile.id, gender=Genders.female.value, limit_neighbors=False)
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for f in islice(females, self.max_females):
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r = random()
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if r < self['mating_prob']:
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self.impregnate(f)
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break # Take a break
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def impregnate(self, whom):
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if self['gender'] == Genders.female.value:
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raise NotImplementedError('Females cannot impregnate')
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whom['pregnancy'] = 0
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whom['mate'] = self.id
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whom.set_state(whom.pregnant)
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self.debug('{} impregnating: {}. {}'.format(self.id, whom.id, whom.state))
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@state
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def pregnant(self):
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self['age'] += 1
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if self['age'] > self.life_expectancy:
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return self.dead
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self['pregnancy'] += 1
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self.debug('Pregnancy: {}'.format(self['pregnancy']))
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if self['pregnancy'] >= self.gestation:
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number_of_babies = int(8+4*random())
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self.info('Having {} babies'.format(number_of_babies))
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for i in range(number_of_babies):
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state = {}
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state['gender'] = choice(list(Genders)).value
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child = self.env.add_node(self.__class__, state)
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self.env.add_edge(self.id, child.id)
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self.env.add_edge(self['mate'], child.id)
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# self.add_edge()
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self.debug('A BABY IS COMING TO LIFE')
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self.env['rabbits_alive'] = self.env.get('rabbits_alive', self.global_topology.number_of_nodes())+1
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self.debug('Rabbits alive: {}'.format(self.env['rabbits_alive']))
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self['offspring'] += 1
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self.env.get_agent(self['mate'])['offspring'] += 1
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del self['mate']
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self['pregnancy'] = -1
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return self.fertile
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@state
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def dead(self):
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self.info('Agent {} is dying'.format(self.id))
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if 'pregnancy' in self and self['pregnancy'] > -1:
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self.info('A mother has died carrying a baby!!')
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self.die()
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return
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class RandomAccident(BaseAgent):
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level = logging.DEBUG
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def step(self):
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rabbits_total = self.global_topology.number_of_nodes()
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rabbits_alive = self.env.get('rabbits_alive', rabbits_total)
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prob_death = self.env.get('prob_death', 1e-100)*math.floor(math.log10(max(1, rabbits_alive)))
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self.debug('Killing some rabbits with prob={}!'.format(prob_death))
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for i in self.env.network_agents:
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if i.state['id'] == i.dead.id:
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continue
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r = random()
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if r < prob_death:
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self.debug('I killed a rabbit: {}'.format(i.id))
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rabbits_alive = self.env['rabbits_alive'] = rabbits_alive -1
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self.log('Rabbits alive: {}'.format(self.env['rabbits_alive']))
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i.set_state(i.dead)
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self.log('Rabbits alive: {}/{}'.format(rabbits_alive, rabbits_total))
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if self.count_agents(state_id=RabbitModel.dead.id) == self.global_topology.number_of_nodes():
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self.die()
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