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mirror of https://github.com/gsi-upm/soil synced 2025-08-24 03:52:20 +00:00

Improved docs

Fixed several bugs
Added convenience methods in soil.analysis
This commit is contained in:
J. Fernando Sánchez
2017-10-18 20:28:42 +02:00
parent 78364d89d5
commit a7c51742f6
69 changed files with 30969 additions and 3300 deletions

File diff suppressed because one or more lines are too long

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---
default_state: {}
load_module: newsspread
environment_agents: []
environment_params:
prob_neighbor_spread: 0.0
prob_tv_spread: 0.01
interval: 1
max_time: 30
name: Sim_all_dumb
network_agents:
- agent_type: DumbViewer
state:
has_tv: false
weight: 1
- agent_type: DumbViewer
state:
has_tv: true
weight: 1
network_params:
generator: barabasi_albert_graph
n: 500
m: 5
num_trials: 50
---
default_state: {}
load_module: newsspread
environment_agents: []
environment_params:
prob_neighbor_spread: 0.0
prob_tv_spread: 0.01
interval: 1
max_time: 30
name: Sim_half_herd
network_agents:
- agent_type: DumbViewer
state:
has_tv: false
weight: 1
- agent_type: DumbViewer
state:
has_tv: true
weight: 1
- agent_type: HerdViewer
state:
has_tv: false
weight: 1
- agent_type: HerdViewer
state:
has_tv: true
weight: 1
network_params:
generator: barabasi_albert_graph
n: 500
m: 5
num_trials: 50
---
default_state: {}
load_module: newsspread
environment_agents: []
environment_params:
prob_neighbor_spread: 0.0
prob_tv_spread: 0.01
interval: 1
max_time: 30
name: Sim_all_herd
network_agents:
- agent_type: HerdViewer
state:
has_tv: true
id: infected
weight: 1
- agent_type: HerdViewer
state:
has_tv: true
id: neutral
weight: 1
network_params:
generator: barabasi_albert_graph
n: 500
m: 5
num_trials: 50
---
default_state: {}
load_module: newsspread
environment_agents: []
environment_params:
prob_neighbor_spread: 0.0
prob_tv_spread: 0.01
prob_neighbor_cure: 0.1
interval: 1
max_time: 30
name: Sim_wise_herd
network_agents:
- agent_type: HerdViewer
state:
has_tv: true
id: infected
weight: 1
- agent_type: WiseViewer
state:
has_tv: true
weight: 1
network_params:
generator: barabasi_albert_graph
n: 500
m: 5
num_trials: 50
---
default_state: {}
load_module: newsspread
environment_agents: []
environment_params:
prob_neighbor_spread: 0.0
prob_tv_spread: 0.01
prob_neighbor_cure: 0.1
interval: 1
max_time: 30
name: Sim_all_wise
network_agents:
- agent_type: WiseViewer
state:
has_tv: true
id: infected
weight: 1
- agent_type: WiseViewer
state:
has_tv: true
weight: 1
network_params:
generator: barabasi_albert_graph
n: 500
m: 5
network_params:
generator: barabasi_albert_graph
n: 500
m: 5
num_trials: 50

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from soil.agents import BaseAgent,FSM, state, default_state
import random
import logging
class DumbViewer(FSM):
'''
A viewer that gets infected via TV (if it has one) and tries to infect
its neighbors once it's infected.
'''
defaults = {
'prob_neighbor_spread': 0.5,
'prob_neighbor_cure': 0.25,
}
@default_state
@state
def neutral(self):
r = random.random()
if self['has_tv'] and r < self.env['prob_tv_spread']:
self.infect()
return
@state
def infected(self):
for neighbor in self.get_neighboring_agents(state_id=self.neutral.id):
prob_infect = self.env['prob_neighbor_spread']
r = random.random()
if r < prob_infect:
self.set_state(self.infected.id)
neighbor.infect()
return
def infect(self):
self.set_state(self.infected)
class HerdViewer(DumbViewer):
'''
A viewer whose probability of infection depends on the state of its neighbors.
'''
level = logging.DEBUG
def infect(self):
infected = self.count_neighboring_agents(state_id=self.infected.id)
total = self.count_neighboring_agents()
prob_infect = self.env['prob_neighbor_spread'] * infected/total
self.debug('prob_infect', prob_infect)
r = random.random()
if r < prob_infect:
self.set_state(self.infected.id)
class WiseViewer(HerdViewer):
'''
A viewer that can change its mind.
'''
@state
def cured(self):
prob_cure = self.env['prob_neighbor_cure']
for neighbor in self.get_neighboring_agents(state_id=self.infected.id):
r = random.random()
if r < prob_cure:
try:
neighbor.cure()
except AttributeError:
self.debug('Viewer {} cannot be cured'.format(neighbor.id))
return
def cure(self):
self.set_state(self.cured.id)
@state
def infected(self):
prob_cure = self.env['prob_neighbor_cure']
r = random.random()
if r < prob_cure:
self.cure()
return
return super().infected()