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soil/benchmarks/virusonnetwork/mesa_basic.py

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2023-05-03 10:07:55 +00:00
# Verbatim copy from mesa
# https://github.com/projectmesa/mesa/blob/976ddfc8a1e5feaaf8007a7abaa9abc7093881a0/examples/virus_on_network/virus_on_network/model.py
import math
from enum import Enum
import networkx as nx
import mesa
class State(Enum):
SUSCEPTIBLE = 0
INFECTED = 1
RESISTANT = 2
def number_state(model, state):
return sum(1 for a in model.grid.get_all_cell_contents() if a.state is state)
def number_infected(model):
return number_state(model, State.INFECTED)
def number_susceptible(model):
return number_state(model, State.SUSCEPTIBLE)
def number_resistant(model):
return number_state(model, State.RESISTANT)
class VirusOnNetwork(mesa.Model):
"""A virus model with some number of agents"""
def __init__(
self,
*args,
num_nodes=10,
avg_node_degree=3,
initial_outbreak_size=1,
virus_spread_chance=0.4,
virus_check_frequency=0.4,
recovery_chance=0.3,
gain_resistance_chance=0.5,
**kwargs,
):
self.num_nodes = num_nodes
prob = avg_node_degree / self.num_nodes
self.G = nx.erdos_renyi_graph(n=self.num_nodes, p=prob)
self.grid = mesa.space.NetworkGrid(self.G)
self.schedule = mesa.time.RandomActivation(self)
self.initial_outbreak_size = (
initial_outbreak_size if initial_outbreak_size <= num_nodes else num_nodes
)
self.virus_spread_chance = virus_spread_chance
self.virus_check_frequency = virus_check_frequency
self.recovery_chance = recovery_chance
self.gain_resistance_chance = gain_resistance_chance
self.datacollector = mesa.DataCollector(
{
"Ratio": "resistant_susceptible_ratio",
"Infected": number_infected,
"Susceptible": number_susceptible,
"Resistant": number_resistant,
}
)
# Create agents
for i, node in enumerate(self.G.nodes()):
a = VirusAgent(
i,
self,
State.SUSCEPTIBLE,
self.virus_spread_chance,
self.virus_check_frequency,
self.recovery_chance,
self.gain_resistance_chance,
)
self.schedule.add(a)
# Add the agent to the node
self.grid.place_agent(a, node)
# Infect some nodes
infected_nodes = self.random.sample(list(self.G), self.initial_outbreak_size)
for a in self.grid.get_cell_list_contents(infected_nodes):
a.state = State.INFECTED
self.running = True
self.datacollector.collect(self)
@property
def number_susceptible(self):
return number_susceptible(self)
@property
def number_resistant(self):
return number_resistant(self)
@property
def number_infected(self):
return number_infected(self)
def resistant_susceptible_ratio(self):
try:
return number_state(self, State.RESISTANT) / number_state(
self, State.SUSCEPTIBLE
)
except ZeroDivisionError:
return math.inf
def step(self):
self.schedule.step()
# collect data
self.datacollector.collect(self)
def run_model(self, n):
for i in range(n):
self.step()
class VirusAgent(mesa.Agent):
def __init__(
self,
unique_id,
model,
initial_state,
virus_spread_chance,
virus_check_frequency,
recovery_chance,
gain_resistance_chance,
):
super().__init__(unique_id, model)
self.state = initial_state
self.virus_spread_chance = virus_spread_chance
self.virus_check_frequency = virus_check_frequency
self.recovery_chance = recovery_chance
self.gain_resistance_chance = gain_resistance_chance
def try_to_infect_neighbors(self):
neighbors_nodes = self.model.grid.get_neighbors(self.pos, include_center=False)
susceptible_neighbors = [
agent
for agent in self.model.grid.get_cell_list_contents(neighbors_nodes)
if agent.state is State.SUSCEPTIBLE
]
for a in susceptible_neighbors:
if self.random.random() < self.virus_spread_chance:
a.state = State.INFECTED
def try_gain_resistance(self):
if self.random.random() < self.gain_resistance_chance:
self.state = State.RESISTANT
def try_remove_infection(self):
# Try to remove
if self.random.random() < self.recovery_chance:
# Success
self.state = State.SUSCEPTIBLE
self.try_gain_resistance()
else:
# Failed
self.state = State.INFECTED
def try_check_situation(self):
if self.random.random() < self.virus_check_frequency:
# Checking...
if self.state is State.INFECTED:
self.try_remove_infection()
def step(self):
if self.state is State.INFECTED:
self.try_to_infect_neighbors()
self.try_check_situation()
from _config import run_sim
run_sim(model=VirusOnNetwork)