mirror of
https://github.com/gsi-upm/soil
synced 2024-11-14 15:32:29 +00:00
feab0ba79e
The examples weren't being properly tested in the last commit. When we fixed that a lot of bugs in the new implementation of environment and agent were found, which accounts for most of these changes. The main difference is the mechanism to load simulations from a configuration file. For that to work, we had to rework our module loading code in `serialization` and add a `source_file` attribute to configurations (and simulations, for that matter).
88 lines
3.1 KiB
Python
88 lines
3.1 KiB
Python
from unittest import TestCase
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import io
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import os
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import networkx as nx
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from os.path import join
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from soil import config, network, environment, agents, simulation
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from test_main import CustomAgent
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ROOT = os.path.abspath(os.path.dirname(__file__))
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EXAMPLES = join(ROOT, "..", "examples")
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class TestNetwork(TestCase):
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def test_load_graph(self):
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"""
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Load a graph from file if the extension is known.
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Raise an exception otherwise.
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"""
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G = network.from_topology(join(ROOT, "test.gexf"))
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assert G
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assert len(G) == 2
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with self.assertRaises(AttributeError):
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G = network.from_topology(join(ROOT, "unknown.extension"))
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print(G)
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def test_generate_barabasi(self):
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"""
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If no path is given, a generator and network parameters
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should be used to generate a network
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"""
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cfg = {"generator": "barabasi_albert_graph"}
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with self.assertRaises(Exception):
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G = network.from_params(**cfg)
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cfg["n"] = 100
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cfg["m"] = 10
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G = network.from_params(**cfg)
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assert len(G) == 100
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def test_save_geometric(self):
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"""
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There is a bug in networkx that prevents it from creating a GEXF file
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from geometric models. We should work around it.
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"""
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G = nx.random_geometric_graph(20, 0.1)
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env = environment.NetworkEnvironment(topology=G)
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f = io.BytesIO()
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assert env.G
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network.dump_gexf(env.G, f)
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def test_networkenvironment_creation(self):
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"""Networkenvironment should accept netconfig as parameters"""
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env = environment.Environment(topology=join(ROOT, "test.gexf"))
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env.populate_network(CustomAgent)
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assert env.G
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env.step()
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assert len(env.G) == 2
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assert len(env.agents) == 2
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assert env.agents[1].count_agents(state_id="normal") == 2
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assert env.agents[1].count_agents(state_id="normal", limit_neighbors=True) == 1
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assert env.agents[0].count_neighbors() == 1
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def test_custom_agent_neighbors(self):
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"""Allow for search of neighbors with a certain state_id"""
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env = environment.Environment()
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env.create_network(join(ROOT, "test.gexf"))
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env.populate_network(CustomAgent)
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assert env.agents[1].count_agents(state_id="normal") == 2
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assert env.agents[1].count_agents(state_id="normal", limit_neighbors=True) == 1
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assert env.agents[0].count_neighbors() == 1
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def test_subgraph(self):
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"""An agent should be able to subgraph the global topology"""
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G = nx.Graph()
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G.add_node(3)
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G.add_edge(1, 2)
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env = environment.Environment(name="Test", topology=G)
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env.populate_network(agents.NetworkAgent)
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a2 = env.agent(node_id=2)
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a3 = env.agent(node_id=3)
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assert len(a2.subgraph(limit_neighbors=True)) == 2
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assert len(a3.subgraph(limit_neighbors=True)) == 1
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assert len(a3.subgraph(limit_neighbors=True, center=False)) == 0
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assert len(a3.subgraph(agent_class=agents.NetworkAgent)) == 3
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