mirror of
https://github.com/gsi-upm/soil
synced 2025-08-23 19:52:19 +00:00
Big refactor v0.30
All test pass, except for the TestConfig suite, which is not too critical as the plan for this version onwards is to avoid configuration as much as possible.
This commit is contained in:
@@ -106,7 +106,7 @@ class TestAgents(TestCase):
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"""
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# There are two agents, they try to send pings
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# This is arguably a very contrived example. In practice, the or
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# This is arguably a very contrived example.
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# There should be a delay of one step between agent 0 and 1
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# On the first step:
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# Agent 0 sends a PING, but blocks before a PONG
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@@ -1,4 +1,4 @@
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from unittest import TestCase
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from unittest import TestCase, skip
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import os
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import yaml
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import copy
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@@ -23,6 +23,7 @@ def isequal(a, b):
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assert a == b
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@skip("new versions of soil do not rely on configuration files")
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class TestConfig(TestCase):
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def test_conversion(self):
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expected = serialization.load_file(join(ROOT, "complete_converted.yml"))[0]
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@@ -59,16 +60,16 @@ class TestConfig(TestCase):
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"""
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cfg = {
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"name": "CounterAgent",
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"network_params": {"path": join(ROOT, "test.gexf")},
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"agent_class": "CounterModel",
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"model_params": {
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"topology": join(ROOT, "test.gexf"),
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"agent_class": "CounterModel",
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},
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# 'states': [{'times': 10}, {'times': 20}],
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"max_time": 2,
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"dry_run": True,
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"num_trials": 1,
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"environment_params": {},
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}
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conf = config.convert_old(cfg)
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s = simulation.from_config(conf)
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s = simulation.from_config(cfg)
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env = s.get_env()
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assert len(env.G.nodes) == 2
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@@ -3,7 +3,7 @@ import os
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from os.path import join
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from glob import glob
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from soil import simulation, config
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from soil import simulation, config, do_not_run
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ROOT = os.path.abspath(os.path.dirname(__file__))
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EXAMPLES = join(ROOT, "..", "examples")
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@@ -12,6 +12,7 @@ FORCE_TESTS = os.environ.get("FORCE_TESTS", "")
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class TestExamples(TestCase):
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"""Empty class that will be populated with auto-discovery tests for every example"""
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pass
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@@ -45,7 +46,7 @@ def add_example_tests():
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continue
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for sim in simulation.iter_from_config(path):
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sim_paths.append((sim, path))
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for path in glob(join(EXAMPLES, '**', '*.py')):
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for path in glob(join(EXAMPLES, '**', '*_sim.py')):
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for sim in simulation.iter_from_py(path):
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sim_paths.append((sim, path))
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@@ -6,6 +6,7 @@ import sqlite3
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from unittest import TestCase
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from soil import exporters
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from soil import environment
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from soil import simulation
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from soil import agents
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@@ -38,15 +39,14 @@ class Exporters(TestCase):
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def test_basic(self):
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# We need to add at least one agent to make sure the scheduler
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# ticks every step
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class SimpleEnv(environment.Environment):
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def init(self):
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self.add_agent(agent_class=agents.BaseAgent)
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num_trials = 5
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max_time = 2
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config = {
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"name": "exporter_sim",
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"model_params": {"agents": [{"agent_class": agents.BaseAgent}]},
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"max_time": max_time,
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"num_trials": num_trials,
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}
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s = simulation.from_config(config)
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s = simulation.Simulation(num_trials=num_trials, max_time=max_time, name="exporter_sim", dry_run=True, model=SimpleEnv)
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for env in s.run_simulation(exporters=[Dummy], dry_run=True):
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assert len(env.agents) == 1
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@@ -64,12 +64,14 @@ class Exporters(TestCase):
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n_trials = 5
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config = {
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"name": "exporter_sim",
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"network_params": {"generator": "complete_graph", "n": 4},
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"agent_class": "CounterModel",
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"model_params": {
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"network_generator": "complete_graph",
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"network_params": {"n": 4},
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"agent_class": "CounterModel",
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},
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"max_time": 2,
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"num_trials": n_trials,
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"dry_run": False,
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"environment_params": {},
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}
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output = io.StringIO()
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s = simulation.from_config(config)
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@@ -29,8 +29,8 @@ class TestMain(TestCase):
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"""A simulation with a base behaviour should do nothing"""
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config = {
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"model_params": {
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"network_params": {"path": join(ROOT, "test.gexf")},
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"agent_class": "BaseAgent",
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"topology": join(ROOT, "test.gexf"),
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"agent_class": "NetworkAgent",
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}
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}
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s = simulation.from_config(config)
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@@ -62,27 +62,13 @@ class TestMain(TestCase):
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"""
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The initial states should be applied to the agent and the
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agent should be able to update its state."""
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config = {
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"version": "2",
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"name": "CounterAgent",
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"dry_run": True,
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"num_trials": 1,
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"max_time": 2,
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"model_params": {
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"topology": {"path": join(ROOT, "test.gexf")},
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"agents": {
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"agent_class": "CounterModel",
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"topology": True,
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"fixed": [{"state": {"times": 10}}, {"state": {"times": 20}}],
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},
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},
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}
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s = simulation.from_config(config)
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env = s.get_env()
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assert isinstance(env.agents[0], agents.CounterModel)
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assert env.agents[0].G == env.G
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assert env.agents[0]["times"] == 10
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env = Environment()
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env.add_agent(agents.Ticker, times=10)
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env.add_agent(agents.Ticker, times=20)
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assert isinstance(env.agents[0], agents.Ticker)
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assert env.agents[0]["times"] == 10
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assert env.agents[1]["times"] == 20
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env.step()
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assert env.agents[0]["times"] == 11
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assert env.agents[1]["times"] == 21
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@@ -90,18 +76,8 @@ class TestMain(TestCase):
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def test_init_and_count_agents(self):
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"""Agents should be properly initialized and counting should filter them properly"""
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# TODO: separate this test into two or more test cases
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config = {
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"max_time": 10,
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"model_params": {
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"agents": [
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{"agent_class": CustomAgent, "weight": 1, "topology": True},
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{"agent_class": CustomAgent, "weight": 3, "topology": True},
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],
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"topology": {"path": join(ROOT, "test.gexf")},
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},
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}
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s = simulation.from_config(config)
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env = s.run_simulation(dry_run=True)[0]
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env = Environment(topology=join(ROOT, "test.gexf"))
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env.populate_network([CustomAgent.w(weight=1), CustomAgent.w(weight=3)])
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assert env.agents[0].weight == 1
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assert env.count_agents() == 2
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assert env.count_agents(weight=1) == 1
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@@ -110,26 +86,28 @@ class TestMain(TestCase):
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def test_torvalds_example(self):
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"""A complete example from a documentation should work."""
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config = serialization.load_file(join(EXAMPLES, "torvalds.yml"))[0]
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config["model_params"]["network_params"]["path"] = join(
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EXAMPLES, config["model_params"]["network_params"]["path"]
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)
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s = simulation.from_config(config)
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env = s.run_simulation(dry_run=True)[0]
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for a in env.network_agents:
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skill_level = a.state["skill_level"]
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if a.id == "Torvalds":
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assert skill_level == "God"
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assert a.state["total"] == 3
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assert a.state["neighbors"] == 2
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elif a.id == "balkian":
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assert skill_level == "developer"
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assert a.state["total"] == 3
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assert a.state["neighbors"] == 1
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else:
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assert skill_level == "beginner"
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assert a.state["total"] == 3
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assert a.state["neighbors"] == 1
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owd = os.getcwd()
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pyfile = join(EXAMPLES, "torvalds_sim.py")
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try:
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os.chdir(os.path.dirname(pyfile))
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s = simulation.from_py(pyfile)
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env = s.run_simulation(dry_run=True)[0]
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for a in env.network_agents:
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skill_level = a["skill_level"]
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if a.node_id == "Torvalds":
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assert skill_level == "God"
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assert a["total"] == 3
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assert a["neighbors"] == 2
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elif a.node_id == "balkian":
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assert skill_level == "developer"
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assert a["total"] == 3
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assert a["neighbors"] == 1
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else:
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assert skill_level == "beginner"
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assert a["total"] == 3
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assert a["neighbors"] == 1
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finally:
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os.chdir(owd)
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def test_serialize_class(self):
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ser, name = serialization.serialize(agents.BaseAgent, known_modules=[])
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@@ -166,11 +144,6 @@ class TestMain(TestCase):
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assert ser == "BaseAgent"
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pickle.dumps(ser)
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def test_templates(self):
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"""Loading a template should result in several configs"""
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configs = serialization.load_file(join(EXAMPLES, "template.yml"))
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assert len(configs) > 0
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def test_until(self):
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n_runs = 0
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@@ -183,7 +156,7 @@ class TestMain(TestCase):
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n_trials = 50
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max_time = 2
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s = simulation.Simulation(
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model_params={"agents": [{"agent_class": CheckRun}]},
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model_params=dict(agents=dict(agent_classes=[CheckRun], k=1)),
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num_trials=n_trials,
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max_time=max_time,
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)
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@@ -19,13 +19,11 @@ class TestNetwork(TestCase):
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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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config = {"network_params": {"path": join(ROOT, "test.gexf")}}
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G = network.from_config(config["network_params"])
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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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config = {"network_params": {"path": join(ROOT, "unknown.extension")}}
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G = network.from_config(config["network_params"])
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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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@@ -33,12 +31,12 @@ class TestNetwork(TestCase):
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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 = {"params": {"generator": "barabasi_albert_graph"}}
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cfg = {"generator": "barabasi_albert_graph"}
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with self.assertRaises(Exception):
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G = network.from_config(cfg)
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cfg["params"]["n"] = 100
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cfg["params"]["m"] = 10
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G = network.from_config(cfg)
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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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@@ -54,18 +52,8 @@ class TestNetwork(TestCase):
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def test_networkenvironment_creation(self):
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"""Networkenvironment should accept netconfig as parameters"""
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model_params = {
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"topology": {"path": join(ROOT, "test.gexf")},
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"agents": {
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"topology": True,
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"distribution": [
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{
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"agent_class": CustomAgent,
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}
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],
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},
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}
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env = environment.Environment(**model_params)
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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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@@ -76,18 +64,9 @@ class TestNetwork(TestCase):
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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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config = {
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"model_params": {
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"topology": {"path": join(ROOT, "test.gexf")},
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"agents": {
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"topology": True,
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"distribution": [{"weight": 1, "agent_class": CustomAgent}],
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},
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},
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"max_time": 10,
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}
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s = simulation.from_config(config)
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env = s.run_simulation(dry_run=True)[0]
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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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@@ -97,10 +76,8 @@ class TestNetwork(TestCase):
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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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distro = agents.calculate_distribution(agent_class=agents.NetworkAgent)
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aconfig = config.AgentConfig(distribution=distro, topology=True)
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env = environment.Environment(name="Test", topology=G, agents=aconfig)
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lst = list(env.network_agents)
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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.find_one(node_id=2)
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a3 = env.find_one(node_id=3)
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@@ -46,7 +46,8 @@ class TestMain(TestCase):
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break
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done.append(self.now)
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env = environment.Environment(agents=[{"agent_class": CondAgent}])
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env = environment.Environment()
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env.add_agent(CondAgent)
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while env.schedule.time < 11:
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times.append(env.now)
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