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Code Issues Releases Wiki Activity

Settings modules

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This commit is contained in:
Tasio Mendez
2017-04-21 13:55:42 +02:00
parent dd4ce15a3d
commit f29f5fa5bf
11 changed files with 262 additions and 210 deletions
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24
models/ModelM2/ControlModelM2.py
View File

@@ -4,8 +4,6 @@ import numpy as np
from ..BaseBehaviour import *
from .. import init_states
settings.init()
class ControlModelM2(BaseBehaviour):
"""
@@ -36,16 +34,22 @@ class ControlModelM2(BaseBehaviour):
def __init__(self, environment=None, agent_id=0, state=()):
super().__init__(environment=environment, agent_id=agent_id, state=state)
self.prob_neutral_making_denier = np.random.normal(settings.prob_neutral_making_denier, settings.standard_variance)
self.prob_neutral_making_denier = np.random.normal(environment.prob_neutral_making_denier,
environment.standard_variance)
self.prob_infect = np.random.normal(settings.prob_infect, settings.standard_variance)
self.prob_infect = np.random.normal(environment.prob_infect, environment.standard_variance)
self.prob_cured_healing_infected = np.random.normal(settings.prob_cured_healing_infected, settings.standard_variance)
self.prob_cured_vaccinate_neutral = np.random.normal(settings.prob_cured_vaccinate_neutral, settings.standard_variance)
self.prob_cured_healing_infected = np.random.normal(environment.prob_cured_healing_infected,
environment.standard_variance)
self.prob_cured_vaccinate_neutral = np.random.normal(environment.prob_cured_vaccinate_neutral,
environment.standard_variance)
self.prob_vaccinated_healing_infected = np.random.normal(settings.prob_vaccinated_healing_infected, settings.standard_variance)
self.prob_vaccinated_vaccinate_neutral = np.random.normal(settings.prob_vaccinated_vaccinate_neutral, settings.standard_variance)
self.prob_generate_anti_rumor = np.random.normal(settings.prob_generate_anti_rumor, settings.standard_variance)
self.prob_vaccinated_healing_infected = np.random.normal(environment.prob_vaccinated_healing_infected,
environment.standard_variance)
self.prob_vaccinated_vaccinate_neutral = np.random.normal(environment.prob_vaccinated_vaccinate_neutral,
environment.standard_variance)
self.prob_generate_anti_rumor = np.random.normal(environment.prob_generate_anti_rumor,
environment.standard_variance)
def step(self, now):
@@ -69,7 +73,7 @@ class ControlModelM2(BaseBehaviour):
# Infected
infected_neighbors = self.get_neighboring_agents(state_id=1)
if len(infected_neighbors)>0:
if len(infected_neighbors) > 0:
if random.random() < self.prob_neutral_making_denier:
self.state['id'] = 3 # Vaccinated making denier

28
models/ModelM2/SpreadModelM2.py
View File

@@ -4,8 +4,6 @@ import numpy as np
from ..BaseBehaviour import *
from .. import init_states
settings.init()
class SpreadModelM2(BaseBehaviour):
"""
@@ -25,22 +23,28 @@ class SpreadModelM2(BaseBehaviour):
prob_generate_anti_rumor
"""
init_states[random.randint(0, settings.number_of_nodes)] = {'id':1}
init_states[random.randint(0, settings.number_of_nodes)] = {'id':1}
init_states[random.randint(0, settings.number_of_nodes)] = {'id': 1}
init_states[random.randint(0, settings.number_of_nodes)] = {'id': 1}
def __init__(self, environment=None, agent_id=0, state=()):
super().__init__(environment=environment, agent_id=agent_id, state=state)
self.prob_neutral_making_denier = np.random.normal(settings.prob_neutral_making_denier, settings.standard_variance)
self.prob_neutral_making_denier = np.random.normal(environment.prob_neutral_making_denier,
environment.standard_variance)
self.prob_infect = np.random.normal(settings.prob_infect, settings.standard_variance)
self.prob_infect = np.random.normal(environment.prob_infect, environment.standard_variance)
self.prob_cured_healing_infected = np.random.normal(settings.prob_cured_healing_infected, settings.standard_variance)
self.prob_cured_vaccinate_neutral = np.random.normal(settings.prob_cured_vaccinate_neutral, settings.standard_variance)
self.prob_cured_healing_infected = np.random.normal(environment.prob_cured_healing_infected,
environment.standard_variance)
self.prob_cured_vaccinate_neutral = np.random.normal(environment.prob_cured_vaccinate_neutral,
environment.standard_variance)
self.prob_vaccinated_healing_infected = np.random.normal(settings.prob_vaccinated_healing_infected, settings.standard_variance)
self.prob_vaccinated_vaccinate_neutral = np.random.normal(settings.prob_vaccinated_vaccinate_neutral, settings.standard_variance)
self.prob_generate_anti_rumor = np.random.normal(settings.prob_generate_anti_rumor, settings.standard_variance)
self.prob_vaccinated_healing_infected = np.random.normal(environment.prob_vaccinated_healing_infected,
environment.standard_variance)
self.prob_vaccinated_vaccinate_neutral = np.random.normal(environment.prob_vaccinated_vaccinate_neutral,
environment.standard_variance)
self.prob_generate_anti_rumor = np.random.normal(environment.prob_generate_anti_rumor,
environment.standard_variance)
def step(self, now):
@@ -60,7 +64,7 @@ class SpreadModelM2(BaseBehaviour):
# Infected
infected_neighbors = self.get_neighboring_agents(state_id=1)
if len(infected_neighbors)>0:
if len(infected_neighbors) > 0:
if random.random() < self.prob_neutral_making_denier:
self.state['id'] = 3 # Vaccinated making denier