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mirror of https://github.com/gsi-upm/soil synced 2024-11-21 18:52:28 +00:00

Bug fixes and minor improvements

This commit is contained in:
J. Fernando Sánchez 2022-05-12 16:14:47 +02:00
parent affeeb9643
commit 2116fe6f38
9 changed files with 80 additions and 63 deletions

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@ -3,6 +3,19 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [0.20.3]
### Fixed
* Default state values are now deepcopied again.
* Seeds for environments only concatenate the trial id (i.e., a number), to provide repeatable results.
* `Environment.run` now calls `Environment.step`, to allow for easy overloading of the environment step
### Removed
* Datacollectors are not being used for now.
* `time.TimedActivation.step` does not use an `until` parameter anymore.
### Changed
* Simulations now run right up to `until` (open interval)
* Time instants (`time.When`) don't need to be floats anymore. Now we can avoid precision issues with big numbers by using ints.
* Rabbits simulation is more idiomatic (using subclasses)
## [0.20.2]
### Fixed
* CI/CD testing issues

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@ -34,6 +34,17 @@ class RabbitModel(FSM):
if self['age'] >= self.sexual_maturity:
self.debug('I am fertile!')
return self.fertile
@state
def fertile(self):
raise Exception("Each subclass should define its fertile state")
@state
def dead(self):
self.info('Agent {} is dying'.format(self.id))
self.die()
class Male(RabbitModel):
@state
def fertile(self):
@ -45,20 +56,26 @@ class RabbitModel(FSM):
return
# Males try to mate
for f in self.get_agents(state_id=self.fertile.id, gender=Genders.female.value, limit_neighbors=False, limit=self.max_females):
for f in self.get_agents(state_id=Female.fertile.id,
agent_type=Female,
limit_neighbors=False,
limit=self.max_females):
r = random()
if r < self['mating_prob']:
self.impregnate(f)
break # Take a break
def impregnate(self, whom):
if self['gender'] == Genders.female.value:
raise NotImplementedError('Females cannot impregnate')
whom['pregnancy'] = 0
whom['mate'] = self.id
whom.set_state(whom.pregnant)
self.debug('{} impregnating: {}. {}'.format(self.id, whom.id, whom.state))
class Female(RabbitModel):
@state
def fertile(self):
# Just wait for a Male
pass
@state
def pregnant(self):
self['age'] += 1
@ -88,11 +105,9 @@ class RabbitModel(FSM):
@state
def dead(self):
self.info('Agent {} is dying'.format(self.id))
super().dead()
if 'pregnancy' in self and self['pregnancy'] > -1:
self.info('A mother has died carrying a baby!!')
self.die()
return
class RandomAccident(NetworkAgent):

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@ -4,9 +4,9 @@ name: rabbits_example
max_time: 100
interval: 1
seed: MySeed
agent_type: RabbitModel
agent_type: rabbit_agents.RabbitModel
environment_agents:
- agent_type: RandomAccident
- agent_type: rabbit_agents.RandomAccident
environment_params:
prob_death: 0.001
default_state:
@ -14,10 +14,8 @@ default_state:
topology:
nodes:
- id: 1
state:
gender: female
agent_type: rabbit_agents.Male
- id: 0
state:
gender: male
agent_type: rabbit_agents.Female
directed: true
links: []

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@ -1 +1 @@
0.20.1
0.20.3

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@ -65,6 +65,10 @@ def main():
logger.info('Loading config file: {}'.format(args.file))
if args.pdb:
args.synchronous = True
try:
exporters = list(args.exporter or ['default', ])
if args.csv:

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@ -169,11 +169,12 @@ class Environment(Model):
if agent_type:
state = defstate
a = agent_type(model=self,
unique_id=agent_id)
unique_id=agent_id
)
for (k, v) in getattr(a, 'defaults', {}).items():
if not hasattr(a, k) or getattr(a, k) is None:
setattr(a, k, v)
setattr(a, k, deepcopy(v))
for (k, v) in state.items():
setattr(a, k, v)
@ -199,15 +200,15 @@ class Environment(Model):
def step(self):
super().step()
self.datacollector.collect(self)
self.schedule.step()
def run(self, until, *args, **kwargs):
self._save_state()
while self.schedule.next_time <= until and not math.isinf(self.schedule.next_time):
self.schedule.step(until=until)
while self.schedule.next_time < until:
self.step()
utils.logger.debug(f'Simulation step {self.schedule.time}/{until}. Next: {self.schedule.next_time}')
self.schedule.time = until
self._history.flush_cache()
def _save_state(self, now=None):

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@ -145,9 +145,7 @@ class Simulation:
def _run_sync_or_async(self, parallel=False, *args, **kwargs):
if parallel and not os.environ.get('SENPY_DEBUG', None):
p = Pool()
func = partial(self.run_trial_exceptions,
*args,
**kwargs)
func = lambda x: self.run_trial_exceptions(trial_id=x, *args, **kwargs)
for i in p.imap_unordered(func, range(self.num_trials)):
if isinstance(i, Exception):
logger.error('Trial failed:\n\t%s', i.message)
@ -155,7 +153,8 @@ class Simulation:
yield i
else:
for i in range(self.num_trials):
yield self.run_trial(*args,
yield self.run_trial(trial_id=i,
*args,
**kwargs)
def run_gen(self, *args, parallel=False, dry_run=False,
@ -224,7 +223,7 @@ class Simulation:
'''Create an environment for a trial of the simulation'''
opts = self.environment_params.copy()
opts.update({
'name': trial_id,
'name': '{}_trial_{}'.format(self.name, trial_id),
'topology': self.topology.copy(),
'network_params': self.network_params,
'seed': '{}_trial_{}'.format(self.seed, trial_id),
@ -241,12 +240,11 @@ class Simulation:
env = self.environment_class(**opts)
return env
def run_trial(self, until=None, log_level=logging.INFO, **opts):
def run_trial(self, trial_id=0, until=None, log_level=logging.INFO, **opts):
"""
Run a single trial of the simulation
"""
trial_id = '{}_trial_{}'.format(self.name, time.time()).replace('.', '-')
if log_level:
logger.setLevel(log_level)
# Set-up trial environment and graph

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@ -6,9 +6,11 @@ from .utils import logger
from mesa import Agent
INFINITY = float('inf')
class When:
def __init__(self, time):
self._time = float(time)
self._time = time
def abs(self, time):
return self._time
@ -40,48 +42,34 @@ class TimedActivation(BaseScheduler):
heappush(self._queue, (self.time, agent.unique_id))
super().add(agent)
def step(self, until: float =float('inf')) -> None:
def step(self) -> None:
"""
Executes agents in order, one at a time. After each step,
an agent will signal when it wants to be scheduled next.
"""
when = None
agent_id = None
unsched = []
until = until or float('inf')
if self.next_time == INFINITY:
return
self.time = self.next_time
when = self.time
while self._queue and self._queue[0][0] == self.time:
(when, agent_id) = heappop(self._queue)
logger.debug(f'Stepping agent {agent_id}')
when = (self._agents[agent_id].step() or Delta(1)).abs(self.time)
if when < self.time:
raise Exception("Cannot schedule an agent for a time in the past ({} < {})".format(when, self.time))
heappush(self._queue, (when, agent_id))
self.steps += 1
if not self._queue:
self.time = until
self.next_time = float('inf')
self.time = INFINITY
self.next_time = INFINITY
return
(when, agent_id) = self._queue[0]
self.next_time = self._queue[0][0]
if until and when > until:
self.time = until
self.next_time = when
return
self.time = when
next_time = float("inf")
while when == self.time:
heappop(self._queue)
logger.debug(f'Stepping agent {agent_id}')
when = (self._agents[agent_id].step() or Delta(1)).abs(self.time)
heappush(self._queue, (when, agent_id))
if when < next_time:
next_time = when
if not self._queue or self._queue[0][0] > self.time:
agent_id = None
break
else:
(when, agent_id) = self._queue[0]
if when and when < self.time:
raise Exception("Invalid scheduling time")
self.next_time = next_time
self.steps += 1

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@ -127,7 +127,7 @@ class TestMain(TestCase):
env = s.run_simulation(dry_run=True)[0]
for agent in env.network_agents:
last = 0
assert len(agent[None, None]) == 11
assert len(agent[None, None]) == 10
for step, total in sorted(agent['total', None]):
assert total == last + 2
last = total