def test_backwards_compatibility(self):
# Test only makes sense with python 2.7 or lower
old_pypet_traj = Trajectory()
module_path, init_file = os.path.split(pypet.__file__)
filename= os.path.join(module_path, 'tests','testdata','pypet_v0_1b_6.hdf5')
old_pypet_traj.f_load(index=-1, load_data=2, force=True, filename=filename)
self.assertTrue(old_pypet_traj.v_version=='0.1b.6')
self.assertTrue(old_pypet_traj.par.x==0)
self.assertTrue(len(old_pypet_traj)==9)
self.assertTrue(old_pypet_traj.res.runs.r_4.z==12)
nexplored = len(old_pypet_traj._explored_parameters)
self.assertGreater(nexplored, 0)
for param in old_pypet_traj.f_get_explored_parameters():
self.assertTrue(old_pypet_traj.f_contains(param))
def test_not_getting_links(self):
traj = Trajectory()
traj.f_add_parameter_group('test.test3')
traj.f_add_parameter_group('test2')
traj.test.f_add_link('circle1', traj.test2)
traj.test2.f_add_link('circle2', traj.test)
self.assertTrue(traj.test.circle1 is traj.test2)
traj.v_with_links = False
with self.assertRaises(AttributeError):
traj.test.circle1
found = False
for item in traj.test.f_iter_nodes(recursive=True, with_links=True):
if item is traj.test2:
found = True
self.assertTrue(found)
for item in traj.test.f_iter_nodes(recursive=True, with_links=False):
if item is traj.test2:
self.assertTrue(False)
traj.v_with_links = True
self.assertTrue('circle1' in traj)
self.assertFalse(traj.f_contains('circle1', with_links=False))
self.assertTrue('circle1' in traj.test)
self.assertFalse(traj.test.f_contains('circle1', with_links=False))
self.assertTrue(traj.test2.test3 is traj.par.test.test3)
traj.v_with_links = False
with self.assertRaises(AttributeError):
traj.test2.test3
traj.v_with_links = True
self.assertTrue(traj['test2.test3'] is traj.test3)
with self.assertRaises(AttributeError):
traj.f_get('test2.test3', with_links=False)
def test_not_getting_links(self):
traj = Trajectory()
traj.f_add_parameter_group('test.test3')
traj.f_add_parameter_group('test2')
traj.test.f_add_link('circle1' , traj.test2)
traj.test2.f_add_link('circle2' , traj.test)
self.assertTrue(traj.test.circle1 is traj.test2)
traj.v_with_links = False
with self.assertRaises(AttributeError):
traj.test.circle1
found = False
for item in traj.test.f_iter_nodes(recursive=True, with_links=True):
if item is traj.test2:
found=True
self.assertTrue(found)
for item in traj.test.f_iter_nodes(recursive=True, with_links=False):
if item is traj.test2:
self.assertTrue(False)
traj.v_with_links=True
self.assertTrue('circle1' in traj)
self.assertFalse(traj.f_contains('circle1', with_links=False))
self.assertTrue('circle1' in traj.test)
self.assertFalse(traj.test.f_contains('circle1', with_links=False))
self.assertTrue(traj.test2.test3 is traj.par.test.test3)
traj.v_with_links = False
with self.assertRaises(AttributeError):
traj.test2.test3
traj.v_with_links = True
self.assertTrue(traj['test2.test3'] is traj.test3)
with self.assertRaises(AttributeError):
traj.f_get('test2.test3', with_links=False)
def test_backwards_compatibility(self):
# Test only makes sense with python 2.7 or lower
old_pypet_traj = Trajectory()
module_path, init_file = os.path.split(pypet.__file__)
filename = os.path.join(module_path, 'tests', 'testdata',
'pypet_v0_1b_6.hdf5')
old_pypet_traj.f_load(index=-1,
load_data=2,
force=True,
filename=filename)
self.assertTrue(old_pypet_traj.v_version == '0.1b.6')
self.assertTrue(old_pypet_traj.par.x == 0)
self.assertTrue(len(old_pypet_traj) == 9)
self.assertTrue(old_pypet_traj.res.runs.r_4.z == 12)
nexplored = len(old_pypet_traj._explored_parameters)
self.assertGreater(nexplored, 0)
for param in old_pypet_traj.f_get_explored_parameters():
self.assertTrue(old_pypet_traj.f_contains(param))
if algorithm == 'bMI':
network_analysis = BivariateMI()
if algorithm == 'mMI_greedy':
network_analysis = MultivariateMI()
if algorithm == 'bTE_greedy':
network_analysis = BivariateTE()
if algorithm == 'mTE_greedy':
network_analysis = MultivariateTE()
#settings['add_conditionals'] = [(35, 3), (26, 1), (17, 5), (25, 4)]
# Add optional settings
optional_settings_keys = {'config.debug', 'config.max_mem_frac'}
for key in optional_settings_keys:
if traj.f_contains(key, shortcuts=True):
key_last = key.rpartition('.')[-1]
settings[key_last] = traj[key]
print('Using optional setting \'{0}\'={1}\n'.format(
key_last, traj[key]))
print('settings = {0}\n'.format(settings))
# Run analysis
res = network_analysis.analyse_single_target(settings=settings,
data=dat,
target=target_id)
# Save results dictionary using pickle
save_obj(
res, traj_dir,
