def test_passed_runhistory_deterministic(self):
''' test if passed runhistory is in resulting runhistory '''
scen = Scenario(self.scen_fn,
cmd_options={
'run_obj': 'quality',
'train_insts': self.train_insts,
'deterministic': True
})
scen.instance_specific = self.inst_specs
validator = Validator(scen, self.trajectory, self.rng)
# Add a few runs and check, if they are correctly processed
old_configs = [entry["incumbent"] for entry in self.trajectory]
old_rh = RunHistory()
for config in old_configs[:int(len(old_configs) / 2)]:
old_rh.add(config, 1, 1, StatusType.SUCCESS, instance_id='0')
configs = validator._get_configs('all')
insts = validator._get_instances('train')
runs_w_rh = validator._get_runs(configs,
insts,
repetitions=2,
runhistory=old_rh)
runs_wo_rh = validator._get_runs(configs, insts, repetitions=2)
self.assertEqual(len(runs_w_rh[0]), len(runs_wo_rh[0]) - 4)
self.assertEqual(len(runs_w_rh[1].data), 4)
self.assertEqual(len(runs_wo_rh[1].data), 0)
def test_passed_runhistory(self):
''' test if passed runhistory is in resulting runhistory '''
scen = Scenario(self.scen_fn,
cmd_options={
'run_obj': 'quality',
'train_insts': self.train_insts,
'test_insts': self.test_insts
})
scen.instance_specific = self.inst_specs
validator = Validator(scen, self.trajectory, self.rng)
# Add a few runs and check, if they are correctly processed
old_configs = [entry["incumbent"] for entry in self.trajectory]
old_rh = RunHistory(average_cost)
seeds = [127 for i in range(int(len(old_configs) / 2))]
seeds[-1] = 126 # Test instance_seed-structure in validation
for config in old_configs[:int(len(old_configs) / 2)]:
old_rh.add(config,
1,
1,
StatusType.SUCCESS,
instance_id='0',
seed=seeds[old_configs.index(config)])
configs = validator._get_configs('all')
insts = validator._get_instances('train')
runs_w_rh = validator._get_runs(configs,
insts,
repetitions=2,
runhistory=old_rh)
runs_wo_rh = validator._get_runs(configs, insts, repetitions=2)
self.assertEqual(len(runs_w_rh[0]), len(runs_wo_rh[0]) - 4)
self.assertEqual(len(runs_w_rh[1].data), 4)
self.assertEqual(len(runs_wo_rh[1].data), 0)
def test_get_runs(self):
''' test if the runs are generated as expected '''
scen = Scenario(self.scen_fn,
cmd_options={'run_obj': 'quality',
'train_insts': self.train_insts,
'test_insts': self.test_insts})
scen.instance_specific = self.inst_specs
validator = Validator(scen, self.trajectory, self.rng)
# Get multiple configs
self.maxDiff = None
expected = [_Run(config='config1', inst='3', seed=1608637542, inst_specs='three'),
_Run(config='config2', inst='3', seed=1608637542, inst_specs='three'),
_Run(config='config1', inst='3', seed=1273642419, inst_specs='three'),
_Run(config='config2', inst='3', seed=1273642419, inst_specs='three'),
_Run(config='config1', inst='4', seed=1935803228, inst_specs='four'),
_Run(config='config2', inst='4', seed=1935803228, inst_specs='four'),
_Run(config='config1', inst='4', seed=787846414, inst_specs='four'),
_Run(config='config2', inst='4', seed=787846414, inst_specs='four'),
_Run(config='config1', inst='5', seed=996406378, inst_specs='five'),
_Run(config='config2', inst='5', seed=996406378, inst_specs='five'),
_Run(config='config1', inst='5', seed=1201263687, inst_specs='five'),
_Run(config='config2', inst='5', seed=1201263687, inst_specs='five')]
runs = validator._get_runs(['config1', 'config2'], scen.test_insts, repetitions=2)
self.assertEqual(runs[0], expected)
# Only train
expected = [_Run(config='config1', inst='0', seed=423734972, inst_specs='null'),
_Run(config='config1', inst='0', seed=415968276, inst_specs='null'),
_Run(config='config1', inst='1', seed=670094950, inst_specs='one'),
_Run(config='config1', inst='1', seed=1914837113, inst_specs='one'),
_Run(config='config1', inst='2', seed=669991378, inst_specs='two'),
_Run(config='config1', inst='2', seed=429389014, inst_specs='two')]
runs = validator._get_runs(['config1'], scen.train_insts, repetitions=2)
self.assertEqual(runs[0], expected)
# Test and train
expected = [_Run(config='config1', inst='0', seed=249467210, inst_specs='null'),
_Run(config='config1', inst='1', seed=1972458954, inst_specs='one'),
_Run(config='config1', inst='2', seed=1572714583, inst_specs='two'),
_Run(config='config1', inst='3', seed=1433267572, inst_specs='three'),
_Run(config='config1', inst='4', seed=434285667, inst_specs='four'),
_Run(config='config1', inst='5', seed=613608295, inst_specs='five')]
insts = self.train_insts
insts.extend(self.test_insts)
runs = validator._get_runs(['config1'], insts, repetitions=1)
self.assertEqual(runs[0], expected)
def test_get_runs_capped(self):
''' test if capped, crashed and aborted runs are ignored
during rh-recovery '''
scen = Scenario(self.scen_fn,
cmd_options={'run_obj': 'quality',
'instances': ['0']})
validator = Validator(scen, self.trajectory, self.rng)
# Get runhistory
old_configs = [Configuration(scen.cs, values={'x1': i, 'x2': i}) for i in range(1, 7)]
old_rh = RunHistory()
old_rh.add(old_configs[0], 1, 1, StatusType.SUCCESS, instance_id='0', seed=0)
old_rh.add(old_configs[1], 1, 1, StatusType.TIMEOUT, instance_id='0', seed=0)
old_rh.add(old_configs[2], 1, 1, StatusType.CRASHED, instance_id='0', seed=0)
old_rh.add(old_configs[3], 1, 1, StatusType.ABORT, instance_id='0', seed=0)
old_rh.add(old_configs[4], 1, 1, StatusType.MEMOUT, instance_id='0', seed=0)
old_rh.add(old_configs[5], 1, 1, StatusType.CAPPED, instance_id='0', seed=0)
# Get multiple configs
expected = [_Run(inst_specs='0', seed=0, inst='0', config=old_configs[2]),
_Run(inst_specs='0', seed=0, inst='0', config=old_configs[3]),
_Run(inst_specs='0', seed=0, inst='0', config=old_configs[5])]
runs = validator._get_runs(old_configs, ['0'], repetitions=1, runhistory=old_rh)
self.assertEqual(runs[0], expected)
def test_passed_runhistory_no_insts(self):
''' test passed runhistory, without instances '''
scen = Scenario(self.scen_fn, cmd_options={'run_obj': 'quality'})
scen.instance_specific = self.inst_specs
validator = Validator(scen, self.trajectory, self.rng)
# Add a few runs and check, if they are correctly processed
old_configs = [entry["incumbent"] for entry in self.trajectory]
old_rh = RunHistory(average_cost)
for config in old_configs[:int(len(old_configs) / 2)]:
old_rh.add(config, 1, 1, StatusType.SUCCESS, seed=127)
configs = validator._get_configs('all')
insts = validator._get_instances('train')
runs_w_rh = validator._get_runs(configs,
insts,
repetitions=2,
runhistory=old_rh)
runs_wo_rh = validator._get_runs(configs, insts, repetitions=2)
self.assertEqual(len(runs_w_rh[0]), len(runs_wo_rh[0]) - 4)
self.assertEqual(len(runs_w_rh[1].data), 4)
self.assertEqual(len(runs_wo_rh[1].data), 0)
def test_get_runs_capped(self):
''' test if capped, crashed and aborted runs are ignored
during rh-recovery '''
scen = Scenario(self.scen_fn,
cmd_options={
'run_obj': 'quality',
'instances': ['0']
})
validator = Validator(scen, self.trajectory, self.rng)
# Get runhistory
old_configs = [
'config1', 'config2', 'config3', 'config4', 'config5', 'config6'
]
old_rh = RunHistory(average_cost)
old_rh.add('config1',
1,
1,
StatusType.SUCCESS,
instance_id='0',
seed=0)
old_rh.add('config2',
1,
1,
StatusType.TIMEOUT,
instance_id='0',
seed=0)
old_rh.add('config3',
1,
1,
StatusType.CRASHED,
instance_id='0',
seed=0)
old_rh.add('config4', 1, 1, StatusType.ABORT, instance_id='0', seed=0)
old_rh.add('config5', 1, 1, StatusType.MEMOUT, instance_id='0', seed=0)
old_rh.add('config6', 1, 1, StatusType.CAPPED, instance_id='0', seed=0)
# Get multiple configs
expected = [
_Run(inst_specs='0', seed=0, inst='0', config='config3'),
_Run(inst_specs='0', seed=0, inst='0', config='config4'),
_Run(inst_specs='0', seed=0, inst='0', config='config6')
]
runs = validator._get_runs(old_configs, ['0'],
repetitions=1,
runhistory=old_rh)
self.assertEqual(runs[0], expected)
