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soil/tests/test_network.py

134 lines
4.4 KiB
Python

2 years ago
from unittest import TestCase
import io
import os
import networkx as nx
from os.path import join
from soil import config, network, environment, agents, simulation
from test_main import CustomAgent
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ROOT = os.path.abspath(os.path.dirname(__file__))
EXAMPLES = join(ROOT, '..', 'examples')
class TestNetwork(TestCase):
def test_load_graph(self):
"""
Load a graph from file if the extension is known.
Raise an exception otherwise.
"""
config = {
'network_params': {
'path': join(ROOT, 'test.gexf')
}
}
G = network.from_config(config['network_params'])
assert G
assert len(G) == 2
with self.assertRaises(AttributeError):
config = {
'network_params': {
'path': join(ROOT, 'unknown.extension')
}
}
G = network.from_config(config['network_params'])
print(G)
def test_generate_barabasi(self):
"""
If no path is given, a generator and network parameters
should be used to generate a network
"""
cfg = {
'params': {
'generator': 'barabasi_albert_graph'
}
}
with self.assertRaises(Exception):
G = network.from_config(cfg)
cfg['params']['n'] = 100
cfg['params']['m'] = 10
G = network.from_config(cfg)
assert len(G) == 100
def test_save_geometric(self):
"""
There is a bug in networkx that prevents it from creating a GEXF file
from geometric models. We should work around it.
"""
G = nx.random_geometric_graph(20, 0.1)
env = environment.NetworkEnvironment(topology=G)
f = io.BytesIO()
assert env.topologies['default']
network.dump_gexf(env.topologies['default'], f)
def test_networkenvironment_creation(self):
"""Networkenvironment should accept netconfig as parameters"""
model_params = {
'topologies': {
'default': {
'path': join(ROOT, 'test.gexf')
}
},
'agents': {
'topology': 'default',
'distribution': [{
'agent_class': CustomAgent,
}]
}
}
env = environment.Environment(**model_params)
assert env.topologies
env.step()
assert len(env.topologies['default']) == 2
assert len(env.agents) == 2
assert env.agents[1].count_agents(state_id='normal') == 2
assert env.agents[1].count_agents(state_id='normal', limit_neighbors=True) == 1
assert env.agents[0].neighbors == 1
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def test_custom_agent_neighbors(self):
"""Allow for search of neighbors with a certain state_id"""
config = {
'model_params': {
'topologies': {
'default': {
'path': join(ROOT, 'test.gexf')
}
},
'agents': {
'topology': 'default',
'distribution': [
{
'weight': 1,
'agent_class': CustomAgent
}
]
}
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},
'max_time': 10,
}
s = simulation.from_config(config)
env = s.run_simulation(dry_run=True)[0]
assert env.agents[1].count_agents(state_id='normal') == 2
assert env.agents[1].count_agents(state_id='normal', limit_neighbors=True) == 1
assert env.agents[0].neighbors == 1
def test_subgraph(self):
'''An agent should be able to subgraph the global topology'''
G = nx.Graph()
G.add_node(3)
G.add_edge(1, 2)
distro = agents.calculate_distribution(agent_class=agents.NetworkAgent)
aconfig = config.AgentConfig(distribution=distro, topology='default')
env = environment.Environment(name='Test', topologies={'default': G}, agents=aconfig)
lst = list(env.network_agents)
a2 = env.find_one(node_id=2)
a3 = env.find_one(node_id=3)
assert len(a2.subgraph(limit_neighbors=True)) == 2
assert len(a3.subgraph(limit_neighbors=True)) == 1
assert len(a3.subgraph(limit_neighbors=True, center=False)) == 0
assert len(a3.subgraph(agent_class=agents.NetworkAgent)) == 3