def test_build_parameters(self):
experiment = Experiment()
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(sweeps={
"input.sigma_t": [0.0, 1.0, 2.0],
}))
self.assertEqual(len(input_params), 3)
self.assertEqual(len(topology_params), 1)
self.assertEqual(input_params[0]["sigma_t"], 0.0)
self.assertEqual(input_params[1]["sigma_t"], 1.0)
self.assertEqual(input_params[2]["sigma_t"], 2.0)
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(
sweeps={"input.sigma_t": {
"min": 0.0,
"max": 2.0,
"count": 3
}}))
self.assertEqual(len(input_params), 3)
self.assertEqual(len(topology_params), 1)
self.assertEqual(input_params[0]["sigma_t"], 0.0)
self.assertEqual(input_params[1]["sigma_t"], 1.0)
self.assertEqual(input_params[2]["sigma_t"], 2.0)
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(sweeps={
"topology.params.tau_m": [0.0, 1.0, 2.0],
}))
self.assertEqual(len(input_params), 1)
self.assertEqual(len(topology_params), 3)
self.assertEqual(topology_params[0]["topology"]["params"]["tau_m"],
0.0)
self.assertEqual(topology_params[1]["topology"]["params"]["tau_m"],
1.0)
self.assertEqual(topology_params[2]["topology"]["params"]["tau_m"],
2.0)
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(sweeps={
"topology.param_noise.tau_m": [0.0, 1.0, 2.0],
}))
self.assertEqual(len(input_params), 1)
self.assertEqual(len(topology_params), 3)
self.assertEqual(
topology_params[0]["topology"]["param_noise"]["tau_m"], 0.0)
self.assertEqual(
topology_params[1]["topology"]["param_noise"]["tau_m"], 1.0)
self.assertEqual(
topology_params[2]["topology"]["param_noise"]["tau_m"], 2.0)
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(sweeps=collections.OrderedDict([(
"topology.param_noise.tau_m",
[0.0, 1.0, 2.0]), ("data.n_ones_in", [1, 2])])))
self.assertEqual(len(input_params), 1)
self.assertEqual(len(topology_params), 6)
self.assertEqual(
topology_params[0]["topology"]["param_noise"]["tau_m"], 0.0)
self.assertEqual(
topology_params[1]["topology"]["param_noise"]["tau_m"], 1.0)
self.assertEqual(
topology_params[2]["topology"]["param_noise"]["tau_m"], 2.0)
self.assertEqual(
topology_params[3]["topology"]["param_noise"]["tau_m"], 0.0)
self.assertEqual(
topology_params[4]["topology"]["param_noise"]["tau_m"], 1.0)
self.assertEqual(
topology_params[5]["topology"]["param_noise"]["tau_m"], 2.0)
self.assertEqual(topology_params[0]["data"]["n_ones_in"], 1)
self.assertEqual(topology_params[1]["data"]["n_ones_in"], 1)
self.assertEqual(topology_params[2]["data"]["n_ones_in"], 1)
self.assertEqual(topology_params[3]["data"]["n_ones_in"], 2)
self.assertEqual(topology_params[4]["data"]["n_ones_in"], 2)
self.assertEqual(topology_params[5]["data"]["n_ones_in"], 2)
def test_build_parameters(self):
experiment = Experiment()
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(sweeps={
"input.sigma_t": [0.0, 1.0, 2.0],
}))
self.assertEqual(len(input_params), 3)
self.assertEqual(len(topology_params), 1)
self.assertEqual(input_params[0]["sigma_t"], 0.0)
self.assertEqual(input_params[1]["sigma_t"], 1.0)
self.assertEqual(input_params[2]["sigma_t"], 2.0)
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(sweeps={
"input.sigma_t": {"min": 0.0, "max": 2.0, "count": 3}
}))
self.assertEqual(len(input_params), 3)
self.assertEqual(len(topology_params), 1)
self.assertEqual(input_params[0]["sigma_t"], 0.0)
self.assertEqual(input_params[1]["sigma_t"], 1.0)
self.assertEqual(input_params[2]["sigma_t"], 2.0)
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(sweeps={
"topology.params.tau_m": [0.0, 1.0, 2.0],
}))
self.assertEqual(len(input_params), 1)
self.assertEqual(len(topology_params), 3)
self.assertEqual(topology_params[0]["topology"]["params"]["tau_m"], 0.0)
self.assertEqual(topology_params[1]["topology"]["params"]["tau_m"], 1.0)
self.assertEqual(topology_params[2]["topology"]["params"]["tau_m"], 2.0)
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(sweeps={
"topology.param_noise.tau_m": [0.0, 1.0, 2.0],
}))
self.assertEqual(len(input_params), 1)
self.assertEqual(len(topology_params), 3)
self.assertEqual(topology_params[0]["topology"]["param_noise"]["tau_m"],
0.0)
self.assertEqual(topology_params[1]["topology"]["param_noise"]["tau_m"],
1.0)
self.assertEqual(topology_params[2]["topology"]["param_noise"]["tau_m"],
2.0)
input_params, topology_params = experiment.build_parameters(
ExperimentDescriptor(sweeps=collections.OrderedDict([
("topology.param_noise.tau_m", [0.0, 1.0, 2.0]),
("data.n_ones_in", [1, 2])
])))
self.assertEqual(len(input_params), 1)
self.assertEqual(len(topology_params), 6)
self.assertEqual(topology_params[0]["topology"]["param_noise"]["tau_m"],
0.0)
self.assertEqual(topology_params[1]["topology"]["param_noise"]["tau_m"],
1.0)
self.assertEqual(topology_params[2]["topology"]["param_noise"]["tau_m"],
2.0)
self.assertEqual(topology_params[3]["topology"]["param_noise"]["tau_m"],
0.0)
self.assertEqual(topology_params[4]["topology"]["param_noise"]["tau_m"],
1.0)
self.assertEqual(topology_params[5]["topology"]["param_noise"]["tau_m"],
2.0)
self.assertEqual(topology_params[0]["data"]["n_ones_in"], 1)
self.assertEqual(topology_params[1]["data"]["n_ones_in"], 1)
self.assertEqual(topology_params[2]["data"]["n_ones_in"], 1)
self.assertEqual(topology_params[3]["data"]["n_ones_in"], 2)
self.assertEqual(topology_params[4]["data"]["n_ones_in"], 2)
self.assertEqual(topology_params[5]["data"]["n_ones_in"], 2)
def test_validate_keys(self):
Experiment.validate_keys(["input.sigma_t", "input.p0"])
Experiment.validate_keys(["topology.w"])
Experiment.validate_keys(["topology.params.tau_m"])
Experiment.validate_keys(["topology.param_noise.tau_m"])
Experiment.validate_keys(["data.n_ones_in"])
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys([""]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["bla"]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["bla.blub"]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["input"]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["input.blub"]))
self.assertRaises(
ExperimentException,
lambda: Experiment.validate_keys(["input.sigma_t.test"]))
self.assertRaises(
ExperimentException,
lambda: Experiment.validate_keys(["topology.params.w"]))
def test_validate_keys(self):
Experiment.validate_keys(["input.sigma_t", "input.p0"])
Experiment.validate_keys(["topology.w"])
Experiment.validate_keys(["topology.params.tau_m"])
Experiment.validate_keys(["topology.param_noise.tau_m"])
Experiment.validate_keys(["data.n_ones_in"])
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys([""]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["bla"]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["bla.blub"]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["input"]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["input.blub"]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["input.sigma_t.test"]))
self.assertRaises(ExperimentException,
lambda: Experiment.validate_keys(["topology.params.w"]))