mirror of
https://github.com/gsi-upm/soil
synced 2024-11-24 11:52:29 +00:00
Fix conditionals
This commit is contained in:
parent
5d759d0072
commit
227fdf050e
@ -64,6 +64,7 @@ class Patron(FSM, NetworkAgent):
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drunk = False
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pints = 0
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max_pints = 3
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kicked_out = False
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@default_state
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@state
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@ -105,7 +106,9 @@ class Patron(FSM, NetworkAgent):
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'''I'm out. Take me home!'''
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self.info('I\'m so drunk. Take me home!')
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self['drunk'] = True
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pass # out drunk
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if self.kicked_out:
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return self.at_home
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pass # out drun
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@state
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def at_home(self):
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@ -118,7 +121,7 @@ class Patron(FSM, NetworkAgent):
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self.debug('Cheers to that')
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def kick_out(self):
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self.set_state(self.at_home)
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self.kicked_out = True
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def befriend(self, other_agent, force=False):
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'''
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@ -2,3 +2,13 @@ There are two similar implementations of this simulation.
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- `basic`. Using simple primites
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- `improved`. Using more advanced features such as the `time` module to avoid unnecessary computations (i.e., skip steps), and generator functions.
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The examples can be run directly in the terminal, and they accept command like arguments.
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For example, to enable the CSV exporter and the Summary exporter, while setting `max_time` to `100` and `seed` to `CustomSeed`:
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```
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python rabbit_agents.py --set max_time=100 --csv -e summary --set 'seed="CustomSeed"'
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```
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To learn more about how this functionality works, check out the `soil.easy` function.
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@ -1,6 +1,4 @@
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from soil import FSM, state, default_state, BaseAgent, NetworkAgent, Environment
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from soil.time import Delta
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from enum import Enum
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from collections import Counter
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import logging
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import math
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@ -21,7 +19,7 @@ class RabbitEnv(Environment):
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return self.count_agents(agent_class=Female)
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class Rabbit(FSM, NetworkAgent):
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class Rabbit(NetworkAgent, FSM):
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sexual_maturity = 30
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life_expectancy = 300
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@ -72,7 +70,8 @@ class Male(Rabbit):
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class Female(Rabbit):
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gestation = 30
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gestation = 10
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pregnancy = -1
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@state
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def fertile(self):
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@ -80,46 +79,49 @@ class Female(Rabbit):
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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.pregnancy >= 0:
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return self.pregnant
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def impregnate(self, male):
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self.info(f'{repr(male)} impregnating female {repr(self)}')
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self.info(f'impregnated by {repr(male)}')
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self.mate = male
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self.pregnancy = -1
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self.set_state(self.pregnant, when=self.now)
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self.pregnancy = 0
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self.number_of_babies = int(8+4*self.random.random())
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@state
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def pregnant(self):
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self.debug('I am pregnant')
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self.info('I am pregnant')
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self.age += 1
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self.pregnancy += 1
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if self.prob(self.age / self.life_expectancy):
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if self.age >= self.life_expectancy:
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return self.die()
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if self.pregnancy >= self.gestation:
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self.info('Having {} babies'.format(self.number_of_babies))
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for i in range(self.number_of_babies):
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state = {}
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agent_class = self.random.choice([Male, Female])
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child = self.model.add_node(agent_class=agent_class,
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**state)
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child.add_edge(self)
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try:
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child.add_edge(self.mate)
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self.model.agents[self.mate].offspring += 1
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except ValueError:
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self.debug('The father has passed away')
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if self.pregnancy < self.gestation:
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self.pregnancy += 1
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return
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self.offspring += 1
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self.mate = None
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return self.fertile
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self.info('Having {} babies'.format(self.number_of_babies))
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for i in range(self.number_of_babies):
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state = {}
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agent_class = self.random.choice([Male, Female])
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child = self.model.add_node(agent_class=agent_class,
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**state)
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child.add_edge(self)
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try:
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child.add_edge(self.mate)
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self.model.agents[self.mate].offspring += 1
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except ValueError:
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self.debug('The father has passed away')
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@state
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def dead(self):
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super().dead()
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self.offspring += 1
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self.mate = None
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self.pregnancy = -1
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return self.fertile
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def die(self):
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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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return super().die()
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class RandomAccident(BaseAgent):
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@ -138,11 +140,11 @@ class RandomAccident(BaseAgent):
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if self.prob(prob_death):
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self.info('I killed a rabbit: {}'.format(i.id))
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rabbits_alive -= 1
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i.set_state(i.dead)
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i.die()
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self.debug('Rabbits alive: {}'.format(rabbits_alive))
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if __name__ == '__main__':
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from soil import easy
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sim = easy('rabbits.yml')
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sim.run()
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with easy('rabbits.yml') as sim:
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sim.run()
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@ -1,130 +1,157 @@
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from soil.agents import FSM, state, default_state, BaseAgent, NetworkAgent
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from soil.time import Delta, When, NEVER
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from soil import FSM, state, default_state, BaseAgent, NetworkAgent, Environment
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from soil.time import Delta
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from enum import Enum
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from collections import Counter
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import logging
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import math
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class RabbitModel(FSM, NetworkAgent):
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class RabbitEnv(Environment):
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mating_prob = 0.005
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offspring = 0
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@property
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def num_rabbits(self):
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return self.count_agents(agent_class=Rabbit)
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@property
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def num_males(self):
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return self.count_agents(agent_class=Male)
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@property
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def num_females(self):
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return self.count_agents(agent_class=Female)
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class Rabbit(FSM, NetworkAgent):
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sexual_maturity = 30
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life_expectancy = 300
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birth = None
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sexual_maturity = 3
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life_expectancy = 30
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@property
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def age(self):
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if self.birth is None:
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return None
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return self.now - self.birth
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@default_state
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@state
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def newborn(self):
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self.info('I am a newborn.')
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self.birth = self.now
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self.info(f'I am a newborn.')
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self.model['rabbits_alive'] = self.model.get('rabbits_alive', 0) + 1
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self.offspring = 0
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return self.youngling, Delta(self.sexual_maturity - self.age)
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# Here we can skip the `youngling` state by using a coroutine/generator.
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while self.age < self.sexual_maturity:
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interval = self.sexual_maturity - self.age
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yield Delta(interval)
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self.info(f'I am fertile! My age is {self.age}')
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return self.fertile
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@property
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def age(self):
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return self.now - self.birth
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@state
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def youngling(self):
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if self.age >= self.sexual_maturity:
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self.info(f'I am fertile! My age is {self.age}')
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return self.fertile
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@state
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def fertile(self):
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raise Exception("Each subclass should define its fertile state")
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def step(self):
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super().step()
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if self.prob(self.age / self.life_expectancy):
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return self.die()
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@state
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def dead(self):
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self.die()
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class Male(RabbitModel):
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class Male(Rabbit):
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max_females = 5
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mating_prob = 0.001
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@state
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def fertile(self):
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if self.age > self.life_expectancy:
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return self.dead
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# Males try to mate
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for f in self.model.agents(agent_class=Female,
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state_id=Female.fertile.id,
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limit=self.max_females):
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self.debug('Found a female:', repr(f))
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self.debug('FOUND A FEMALE: ', repr(f), self.mating_prob)
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if self.prob(self['mating_prob']):
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f.impregnate(self)
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break # Take a break, don't try to impregnate the rest
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break # Do not try to impregnate other females
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class Female(RabbitModel):
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due_date = None
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age_of_pregnancy = None
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class Female(Rabbit):
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gestation = 10
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mate = None
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conception = None
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@state
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def fertile(self):
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return self.fertile, NEVER
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# Just wait for a Male
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if self.age > self.life_expectancy:
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return self.dead
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if self.conception is not None:
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return self.pregnant
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@property
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def pregnancy(self):
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if self.conception is None:
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return None
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return self.now - self.conception
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def impregnate(self, male):
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self.info(f'impregnated by {repr(male)}')
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self.mate = male
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self.conception = self.now
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self.number_of_babies = int(8+4*self.random.random())
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@state
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def pregnant(self):
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self.info('I am pregnant')
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self.debug('I am pregnant')
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if self.age > self.life_expectancy:
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return self.dead
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self.info("Dying before giving birth")
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return self.die()
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self.due_date = self.now + self.gestation
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if self.pregnancy >= self.gestation:
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self.info('Having {} babies'.format(self.number_of_babies))
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for i in range(self.number_of_babies):
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state = {}
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agent_class = self.random.choice([Male, Female])
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child = self.model.add_node(agent_class=agent_class,
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**state)
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child.add_edge(self)
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if self.mate:
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child.add_edge(self.mate)
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self.mate.offspring += 1
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else:
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self.debug('The father has passed away')
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number_of_babies = int(8+4*self.random.random())
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self.offspring += 1
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self.mate = None
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return self.fertile
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while self.now < self.due_date:
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yield When(self.due_date)
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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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agent_class = self.random.choice([Male, Female])
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child = self.model.add_node(agent_class=agent_class,
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topology=self.topology)
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self.model.add_edge(self, child)
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self.model.add_edge(self.mate, child)
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self.offspring += 1
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self.model.agents[self.mate].offspring += 1
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self.mate = None
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self.due_date = None
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return self.fertile
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@state
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def dead(self):
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super().dead()
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if self.due_date is not None:
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def die(self):
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if self.pregnancy is not None:
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self.info('A mother has died carrying a baby!!')
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def impregnate(self, male):
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self.info(f'{repr(male)} impregnating female {repr(self)}')
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self.mate = male
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self.set_state(self.pregnant, when=self.now)
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return super().die()
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class RandomAccident(BaseAgent):
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level = logging.INFO
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def step(self):
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rabbits_total = self.model.topology.number_of_nodes()
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if 'rabbits_alive' not in self.model:
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self.model['rabbits_alive'] = 0
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rabbits_alive = self.model.get('rabbits_alive', rabbits_total)
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rabbits_alive = self.model.G.number_of_nodes()
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if not rabbits_alive:
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return self.die()
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prob_death = self.model.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.model.network_agents:
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if i.state.id == i.dead.id:
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for i in self.iter_agents(agent_class=Rabbit):
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if i.state_id == i.dead.id:
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continue
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if self.prob(prob_death):
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self.info('I killed a rabbit: {}'.format(i.id))
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rabbits_alive = self.model['rabbits_alive'] = rabbits_alive -1
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i.set_state(i.dead)
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self.debug('Rabbits alive: {}/{}'.format(rabbits_alive, rabbits_total))
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if self.model.count_agents(state_id=RabbitModel.dead.id) == self.model.topology.number_of_nodes():
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self.die()
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rabbits_alive -= 1
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i.die()
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self.debug('Rabbits alive: {}'.format(rabbits_alive))
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if __name__ == '__main__':
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from soil import easy
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with easy('rabbits.yml') as sim:
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sim.run()
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@ -7,11 +7,10 @@ description: null
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group: null
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interval: 1.0
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max_time: 100
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model_class: soil.environment.Environment
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model_class: rabbit_agents.RabbitEnv
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model_params:
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agents:
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topology: true
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agent_class: rabbit_agents.RabbitModel
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distribution:
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- agent_class: rabbit_agents.Male
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weight: 1
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@ -34,5 +33,10 @@ model_params:
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nodes:
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- id: 1
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- id: 0
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model_reporters:
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num_males: 'num_males'
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num_females: 'num_females'
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num_rabbits: |
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py:lambda env: env.num_males + env.num_females
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extra:
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visualization_params: {}
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@ -5,6 +5,7 @@ import sys
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import os
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import logging
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import traceback
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from contextlib import contextmanager
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from .version import __version__
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@ -30,6 +31,7 @@ def main(
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*,
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do_run=False,
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debug=False,
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pdb=False,
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**kwargs,
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):
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import argparse
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@ -154,6 +156,7 @@ def main(
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if args.pdb or debug:
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args.synchronous = True
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os.environ["SOIL_POSTMORTEM"] = "true"
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res = []
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try:
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@ -214,9 +217,20 @@ def main(
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return res
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def easy(cfg, debug=False, **kwargs):
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return main(cfg, **kwargs)[0]
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@contextmanager
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def easy(cfg, pdb=False, debug=False, **kwargs):
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ex = None
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try:
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yield main(cfg, **kwargs)[0]
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except Exception as e:
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if os.environ.get("SOIL_POSTMORTEM"):
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from .debugging import post_mortem
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print(traceback.format_exc())
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post_mortem()
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ex = e
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finally:
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if ex:
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raise ex
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if __name__ == "__main__":
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main(do_run=True)
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@ -1,9 +1,7 @@
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from . import main as init_main
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def main():
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init_main(do_run=True)
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if __name__ == "__main__":
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if __name__ == '__main__':
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init_main(do_run=True)
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@ -29,10 +29,6 @@ def as_node(agent):
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IGNORED_FIELDS = ("model", "logger")
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class DeadAgent(Exception):
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pass
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class MetaAgent(ABCMeta):
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def __new__(mcls, name, bases, namespace):
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defaults = {}
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@ -198,7 +194,7 @@ class BaseAgent(MesaAgent, MutableMapping, metaclass=MetaAgent):
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def step(self):
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if not self.alive:
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raise DeadAgent(self.unique_id)
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raise time.DeadAgent(self.unique_id)
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return super().step() or time.Delta(self.interval)
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def log(self, message, *args, level=logging.INFO, **kwargs):
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@ -264,6 +260,10 @@ class NetworkAgent(BaseAgent):
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return list(self.iter_agents(limit_neighbors=True, **kwargs))
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def add_edge(self, other):
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assert self.node_id
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assert other.node_id
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assert self.node_id in self.G.nodes
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assert other.node_id in self.G.nodes
|
||||
self.topology.add_edge(self.node_id, other.node_id)
|
||||
|
||||
@property
|
||||
@ -303,7 +303,9 @@ class NetworkAgent(BaseAgent):
|
||||
return G
|
||||
|
||||
def remove_node(self):
|
||||
print(f'Removing node for {self.unique_id}: {self.node_id}')
|
||||
self.G.remove_node(self.node_id)
|
||||
self.node_id = None
|
||||
|
||||
def add_edge(self, other, edge_attr_dict=None, *edge_attrs):
|
||||
if self.node_id not in self.G.nodes(data=False):
|
||||
@ -322,6 +324,8 @@ class NetworkAgent(BaseAgent):
|
||||
)
|
||||
|
||||
def die(self, remove=True):
|
||||
if not self.alive:
|
||||
return
|
||||
if remove:
|
||||
self.remove_node()
|
||||
return super().die()
|
||||
@ -351,7 +355,7 @@ def state(name=None):
|
||||
self._coroutine = None
|
||||
next_state = ex.value
|
||||
if next_state is not None:
|
||||
self.set_state(next_state)
|
||||
self._set_state(next_state)
|
||||
return next_state
|
||||
|
||||
func.id = name or func.__name__
|
||||
@ -401,8 +405,8 @@ class MetaFSM(MetaAgent):
|
||||
|
||||
|
||||
class FSM(BaseAgent, metaclass=MetaFSM):
|
||||
def __init__(self, *args, **kwargs):
|
||||
super(FSM, self).__init__(*args, **kwargs)
|
||||
def __init__(self, **kwargs):
|
||||
super(FSM, self).__init__(**kwargs)
|
||||
if not hasattr(self, "state_id"):
|
||||
if not self._default_state:
|
||||
raise ValueError(
|
||||
@ -411,7 +415,7 @@ class FSM(BaseAgent, metaclass=MetaFSM):
|
||||
self.state_id = self._default_state.id
|
||||
|
||||
self._coroutine = None
|
||||
self.set_state(self.state_id)
|
||||
self._set_state(self.state_id)
|
||||
|
||||
def step(self):
|
||||
self.debug(f"Agent {self.unique_id} @ state {self.state_id}")
|
||||
@ -434,11 +438,11 @@ class FSM(BaseAgent, metaclass=MetaFSM):
|
||||
pass
|
||||
|
||||
if next_state is not None:
|
||||
self.set_state(next_state)
|
||||
self._set_state(next_state)
|
||||
|
||||
return when or default_interval
|
||||
|
||||
def set_state(self, state, when=None):
|
||||
def _set_state(self, state, when=None):
|
||||
if hasattr(state, "id"):
|
||||
state = state.id
|
||||
if state not in self._states:
|
||||
@ -576,83 +580,6 @@ def _convert_agent_classs(ind, to_string=False, **kwargs):
|
||||
return deserialize_definition(ind, **kwargs)
|
||||
|
||||
|
||||
# def _agent_from_definition(definition, random, value=-1, unique_id=None):
|
||||
# """Used in the initialization of agents given an agent distribution."""
|
||||
# if value < 0:
|
||||
# value = random.random()
|
||||
# for d in sorted(definition, key=lambda x: x.get('threshold')):
|
||||
# threshold = d.get('threshold', (-1, -1))
|
||||
# # Check if the definition matches by id (first) or by threshold
|
||||
# if (unique_id is not None and unique_id in d.get('ids', [])) or \
|
||||
# (value >= threshold[0] and value < threshold[1]):
|
||||
# state = {}
|
||||
# if 'state' in d:
|
||||
# state = deepcopy(d['state'])
|
||||
# return d['agent_class'], state
|
||||
|
||||
# raise Exception('Definition for value {} not found in: {}'.format(value, definition))
|
||||
|
||||
|
||||
# def _definition_to_dict(definition, random, size=None, default_state=None):
|
||||
# state = default_state or {}
|
||||
# agents = {}
|
||||
# remaining = {}
|
||||
# if size:
|
||||
# for ix in range(size):
|
||||
# remaining[ix] = copy(state)
|
||||
# else:
|
||||
# remaining = defaultdict(lambda x: copy(state))
|
||||
|
||||
# distro = sorted([item for item in definition if 'weight' in item])
|
||||
|
||||
# id = 0
|
||||
|
||||
# def init_agent(item, id=ix):
|
||||
# while id in agents:
|
||||
# id += 1
|
||||
|
||||
# agent = remaining[id]
|
||||
# agent['state'].update(copy(item.get('state', {})))
|
||||
# agents[agent.unique_id] = agent
|
||||
# del remaining[id]
|
||||
# return agent
|
||||
|
||||
# for item in definition:
|
||||
# if 'ids' in item:
|
||||
# ids = item['ids']
|
||||
# del item['ids']
|
||||
# for id in ids:
|
||||
# agent = init_agent(item, id)
|
||||
|
||||
# for item in definition:
|
||||
# if 'number' in item:
|
||||
# times = item['number']
|
||||
# del item['number']
|
||||
# for times in range(times):
|
||||
# if size:
|
||||
# ix = random.choice(remaining.keys())
|
||||
# agent = init_agent(item, id)
|
||||
# else:
|
||||
# agent = init_agent(item)
|
||||
# if not size:
|
||||
# return agents
|
||||
|
||||
# if len(remaining) < 0:
|
||||
# raise Exception('Invalid definition. Too many agents to add')
|
||||
|
||||
|
||||
# total_weight = float(sum(s['weight'] for s in distro))
|
||||
# unit = size / total_weight
|
||||
|
||||
# for item in distro:
|
||||
# times = unit * item['weight']
|
||||
# del item['weight']
|
||||
# for times in range(times):
|
||||
# ix = random.choice(remaining.keys())
|
||||
# agent = init_agent(item, id)
|
||||
# return agents
|
||||
|
||||
|
||||
class AgentView(Mapping, Set):
|
||||
"""A lazy-loaded list of agents."""
|
||||
|
||||
|
@ -31,8 +31,8 @@ class Debug(pdb.Pdb):
|
||||
def __init__(self, *args, skip_soil=False, **kwargs):
|
||||
skip = kwargs.get("skip", [])
|
||||
skip.append("soil")
|
||||
skip.append("contextlib")
|
||||
if skip_soil:
|
||||
skip.append("soil")
|
||||
skip.append("soil.*")
|
||||
skip.append("mesa.*")
|
||||
super(Debug, self).__init__(*args, skip=skip, **kwargs)
|
||||
@ -181,7 +181,7 @@ def set_trace(frame=None, **kwargs):
|
||||
debugger.set_trace(frame)
|
||||
|
||||
|
||||
def post_mortem(traceback=None):
|
||||
def post_mortem(traceback=None, **kwargs):
|
||||
global debugger
|
||||
if debugger is None:
|
||||
debugger = Debug(**kwargs)
|
||||
|
@ -142,12 +142,12 @@ class BaseEnvironment(Model):
|
||||
"The environment has not been scheduled, so it has no sense of time"
|
||||
)
|
||||
|
||||
def add_agent(self, agent_class, unique_id=None, **kwargs):
|
||||
a = None
|
||||
def add_agent(self, unique_id=None, **kwargs):
|
||||
if unique_id is None:
|
||||
unique_id = self.next_id()
|
||||
|
||||
a = agent_class(model=self, unique_id=unique_id, **args)
|
||||
kwargs['unique_id'] = unique_id
|
||||
a = self._agent_from_dict(kwargs)
|
||||
|
||||
self.schedule.add(a)
|
||||
return a
|
||||
@ -236,6 +236,7 @@ class NetworkEnvironment(BaseEnvironment):
|
||||
node_id = agent.get("node_id", None)
|
||||
if node_id is None:
|
||||
node_id = network.find_unassigned(self.G, random=self.random)
|
||||
self.G.nodes[node_id]['agent'] = None
|
||||
agent["node_id"] = node_id
|
||||
agent["unique_id"] = unique_id
|
||||
agent["topology"] = self.G
|
||||
@ -269,18 +270,29 @@ class NetworkEnvironment(BaseEnvironment):
|
||||
node_id = network.find_unassigned(
|
||||
G=self.G, shuffle=True, random=self.random
|
||||
)
|
||||
if node_id is None:
|
||||
node_id = f'node_for_{unique_id}'
|
||||
|
||||
if node_id in G.nodes:
|
||||
self.G.nodes[node_id]["agent"] = None # Reserve
|
||||
else:
|
||||
if node_id not in self.G.nodes:
|
||||
self.G.add_node(node_id)
|
||||
|
||||
assert "agent" not in self.G.nodes[node_id]
|
||||
self.G.nodes[node_id]["agent"] = None # Reserve
|
||||
|
||||
a = self.add_agent(
|
||||
unique_id=unique_id, agent_class=agent_class, node_id=node_id, **kwargs
|
||||
unique_id=unique_id, agent_class=agent_class, topology=self.G, node_id=node_id, **kwargs
|
||||
)
|
||||
a["visible"] = True
|
||||
return a
|
||||
|
||||
def add_agent(self, *args, **kwargs):
|
||||
a = super().add_agent(*args, **kwargs)
|
||||
if 'node_id' in a:
|
||||
if a.node_id == 24:
|
||||
import pdb;pdb.set_trace()
|
||||
assert self.G.nodes[a.node_id]['agent'] == a
|
||||
return a
|
||||
|
||||
def agent_for_node_id(self, node_id):
|
||||
return self.G.nodes[node_id].get("agent")
|
||||
|
||||
|
@ -65,10 +65,8 @@ def find_unassigned(G, shuffle=False, random=random):
|
||||
random.shuffle(candidates)
|
||||
for next_id, data in candidates:
|
||||
if "agent" not in data:
|
||||
node_id = next_id
|
||||
break
|
||||
|
||||
return node_id
|
||||
return next_id
|
||||
return None
|
||||
|
||||
|
||||
def dump_gexf(G, f):
|
||||
|
@ -226,7 +226,7 @@ Model stats:
|
||||
)
|
||||
model.step()
|
||||
|
||||
if model.schedule.time < until: # Simulation ended (no more steps) before until (i.e., no changes expected)
|
||||
if model.schedule.time < until: # Simulation ended (no more steps) before the expected time
|
||||
model.schedule.time = until
|
||||
return model
|
||||
|
||||
|
40
soil/time.py
40
soil/time.py
@ -13,6 +13,10 @@ from mesa import Agent as MesaAgent
|
||||
INFINITY = float("inf")
|
||||
|
||||
|
||||
class DeadAgent(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class When:
|
||||
def __init__(self, time):
|
||||
if isinstance(time, When):
|
||||
@ -38,23 +42,27 @@ class When:
|
||||
return self._time > other
|
||||
return self._time > other.next(self._time)
|
||||
|
||||
def ready(self, time):
|
||||
return self._time <= time
|
||||
def ready(self, agent):
|
||||
return self._time <= agent.model.schedule.time
|
||||
|
||||
|
||||
class Cond(When):
|
||||
def __init__(self, func, delta=1):
|
||||
self._func = func
|
||||
self._delta = delta
|
||||
self._checked = False
|
||||
|
||||
def next(self, time):
|
||||
return time + self._delta
|
||||
if self._checked:
|
||||
return time + self._delta
|
||||
return time
|
||||
|
||||
def abs(self, time):
|
||||
return self
|
||||
|
||||
def ready(self, time):
|
||||
return self._func(time)
|
||||
def ready(self, agent):
|
||||
self._checked = True
|
||||
return self._func(agent)
|
||||
|
||||
def __eq__(self, other):
|
||||
return False
|
||||
@ -109,10 +117,12 @@ class TimedActivation(BaseScheduler):
|
||||
elif not isinstance(when, When):
|
||||
when = When(when)
|
||||
if agent.unique_id in self._agents:
|
||||
self._queue.remove((self._next[agent.unique_id], agent))
|
||||
del self._agents[agent.unique_id]
|
||||
heapify(self._queue)
|
||||
if agent.unique_id in self._next:
|
||||
self._queue.remove((self._next[agent.unique_id], agent))
|
||||
heapify(self._queue)
|
||||
|
||||
self._next[agent.unique_id] = when
|
||||
heappush(self._queue, (when, agent))
|
||||
super().add(agent)
|
||||
|
||||
@ -139,8 +149,9 @@ class TimedActivation(BaseScheduler):
|
||||
if when > self.time:
|
||||
break
|
||||
heappop(self._queue)
|
||||
if when.ready(self.time):
|
||||
if when.ready(agent):
|
||||
to_process.append(agent)
|
||||
self._next.pop(agent.unique_id, None)
|
||||
continue
|
||||
|
||||
next_time = min(next_time, when.next(self.time))
|
||||
@ -155,13 +166,20 @@ class TimedActivation(BaseScheduler):
|
||||
for agent in to_process:
|
||||
self.logger.debug(f"Stepping agent {agent}")
|
||||
|
||||
returned = ((agent.step() or Delta(1))).abs(self.time)
|
||||
try:
|
||||
returned = ((agent.step() or Delta(1))).abs(self.time)
|
||||
except DeadAgent:
|
||||
if agent.unique_id in self._next:
|
||||
del self._next[agent.unique_id]
|
||||
agent.alive = False
|
||||
continue
|
||||
|
||||
|
||||
if not getattr(agent, "alive", True):
|
||||
self.remove(agent)
|
||||
continue
|
||||
|
||||
value = when.next(self.time)
|
||||
value = returned.next(self.time)
|
||||
|
||||
if value < self.time:
|
||||
raise Exception(
|
||||
@ -172,6 +190,8 @@ class TimedActivation(BaseScheduler):
|
||||
|
||||
self._next[agent.unique_id] = returned
|
||||
heappush(self._queue, (returned, agent))
|
||||
else:
|
||||
assert not self._next[agent.unique_id]
|
||||
|
||||
self.steps += 1
|
||||
self.logger.debug(f"Updating time step: {self.time} -> {next_time}")
|
||||
|
@ -24,7 +24,7 @@ class TestMain(TestCase):
|
||||
'''A dead agent should raise an exception if it is stepped after death'''
|
||||
d = Dead(unique_id=0, model=environment.Environment())
|
||||
d.step()
|
||||
with pytest.raises(agents.DeadAgent):
|
||||
with pytest.raises(stime.DeadAgent):
|
||||
d.step()
|
||||
|
||||
|
||||
|
74
tests/test_time.py
Normal file
74
tests/test_time.py
Normal file
@ -0,0 +1,74 @@
|
||||
from unittest import TestCase
|
||||
|
||||
from soil import time, agents, environment
|
||||
|
||||
class TestMain(TestCase):
|
||||
def test_cond(self):
|
||||
'''
|
||||
A condition should match a When if the concition is True
|
||||
'''
|
||||
|
||||
t = time.Cond(lambda t: True)
|
||||
f = time.Cond(lambda t: False)
|
||||
for i in range(10):
|
||||
w = time.When(i)
|
||||
assert w == t
|
||||
assert w is not f
|
||||
|
||||
def test_cond(self):
|
||||
'''
|
||||
Comparing a Cond to a Delta should always return False
|
||||
'''
|
||||
|
||||
c = time.Cond(lambda t: False)
|
||||
d = time.Delta(1)
|
||||
assert c is not d
|
||||
|
||||
def test_cond_env(self):
|
||||
'''
|
||||
'''
|
||||
|
||||
times_started = []
|
||||
times_awakened = []
|
||||
times = []
|
||||
done = 0
|
||||
|
||||
class CondAgent(agents.BaseAgent):
|
||||
|
||||
def step(self):
|
||||
nonlocal done
|
||||
times_started.append(self.now)
|
||||
while True:
|
||||
yield time.Cond(lambda agent: agent.model.schedule.time >= 10)
|
||||
times_awakened.append(self.now)
|
||||
if self.now >= 10:
|
||||
break
|
||||
done += 1
|
||||
|
||||
env = environment.Environment(agents=[{'agent_class': CondAgent}])
|
||||
|
||||
|
||||
while env.schedule.time < 11:
|
||||
env.step()
|
||||
times.append(env.now)
|
||||
assert env.schedule.time == 11
|
||||
assert times_started == [0]
|
||||
assert times_awakened == [10]
|
||||
assert done == 1
|
||||
# The first time will produce the Cond.
|
||||
# Since there are no other agents, time will not advance, but the number
|
||||
# of steps will.
|
||||
assert env.schedule.steps == 12
|
||||
assert len(times) == 12
|
||||
|
||||
while env.schedule.time < 12:
|
||||
env.step()
|
||||
times.append(env.now)
|
||||
|
||||
assert env.schedule.time == 12
|
||||
assert times_started == [0, 11]
|
||||
assert times_awakened == [10, 11]
|
||||
assert done == 2
|
||||
# Once more to yield the cond, another one to continue
|
||||
assert env.schedule.steps == 14
|
||||
assert len(times) == 14
|
Loading…
Reference in New Issue
Block a user