本文整理汇总了Python中pypet.trajectory.Trajectory._prepare_experiment方法的典型用法代码示例。如果您正苦于以下问题：Python Trajectory._prepare_experiment方法的具体用法？Python Trajectory._prepare_experiment怎么用？Python Trajectory._prepare_experiment使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pypet.trajectory.Trajectory的用法示例。
在下文中一共展示了Trajectory._prepare_experiment方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from pypet.trajectory import Trajectory [as 别名]
# 或者: from pypet.trajectory.Trajectory import _prepare_experiment [as 别名]
def main():
pool = Pool(2)
lock = Manager().Lock()
logging.basicConfig(level=logging.DEBUG)
log_to_stderr()
traj = Trajectory(name='MyTrajectory',filename='../experiments/test.hdf5')
config['multiproc'] = True
#traj.load_trajectory(trajectoryname='MyTrajectory_2013_05_23_14h29m26s')
traj.f_add_parameter('test.testparam', param_type=ParameterSet, **{'Fuechse':1,'Sapiens':1,'Comment':'ladida'})
traj.last.foo = 'bar'
traj.f_add_parameter('Network.Cm')
traj.Parameters.Network.Cm.value= 1.0
traj.Parameters.Network.Cm.unit = 'pF'
print traj.Parameters.Network.Cm()
traj.last.herbert = 4.5
traj.Parameters.test.testparam.Konstantin = 'Konstantin'
traj.f_add_parameter(full_parameter_name='honky', **{'mirta':np.array([[1,2,7],[3,2,17]])})
traj.f_add_parameter('flonky',**{'val' : 10})
param1 = traj.Parameters.test.testparam
param2 = traj.Parameters.honky
param3 = traj.last
print param1()
print param3('val')
exp2_list = range(3)
exp1_list = range(3)
exp3_list = range(3)
explore_dict = { param1.gfn('Sapiens') : exp1_list,
param2.get_fullname('mirta'):exp2_list,
param3.gfn('val') : exp3_list}
cmb_list=[(param3.gfn('val'),param1.gfn('Sapiens'))]
traj.f_add_derived_parameter(full_parameter_name='foo', **{'bar' : -1}).moo = 'zip'
lilma = spsp.lil_matrix((10000,1000))
lilma[0,100] = 555
lilma[9999,999] = 11
traj.f_add_parameter('sparse', mat=lilma, param_type = SparseParameter)
traj.f_explore(ut.cartesian_product,explore_dict,cmb_list)
traj._prepare_experiment()
traj.f_store()
pathname = config['logfolder']
it = ((traj._make_single_run(n),lock, pathname) for n in xrange(len(traj)))
moo = pool.imap(do_stuff, it)
pool.close()
pool.join()示例2: TrajectoryTest
# 需要导入模块: from pypet.trajectory import Trajectory [as 别名]
# 或者: from pypet.trajectory.Trajectory import _prepare_experiment [as 别名]
#.........这里部分代码省略.........
def testremove(self):
self.traj.f_remove_item(self.traj.f_get('peter.markus.yve'),remove_empty_groups=True)
with self.assertRaises(AttributeError):
self.traj.peter.markus.yve
self.assertFalse('peter.markus.yve' in self.traj)
#self.assertTrue(len(self.traj)==1)
self.traj.f_remove_item('FortyTwo',remove_empty_groups=True)
self.traj.f_remove_item('SparseParam')
self.traj.f_remove_item('IntParam')
#self.assertTrue(len(self.traj)==1)
def test_changing(self):
self.traj.f_preset_config('testconf', 1)
self.traj.f_preset_parameter('testparam', 1)
self.traj.f_preset_parameter('I_do_not_exist', 2)
self.traj.f_add_parameter('testparam', 0)
self.traj.f_add_config('testconf', 0)
self.traj.v_fast_access=True
self.assertTrue(self.traj.testparam == 1)
self.assertTrue(self.traj.testconf == 1)
### should raise an error because 'I_do_not_exist', does not exist:
with self.assertRaises(pex.PresettingError):
self.traj._prepare_experiment()
def test_f_is_completed(self):
traj = Trajectory()
traj.f_add_parameter('test', 42)
traj.f_explore({'test':[1,2,3,4]})
self.assertFalse(traj.f_is_completed())
for run_name in traj.f_get_run_names():
self.assertFalse(traj.f_is_completed(run_name))
traj._run_information[traj.f_idx_to_run(1)]['completed']=1
self.assertFalse(traj.f_is_completed())
self.assertTrue(traj.f_is_completed(1))
for run_name in traj.f_get_run_names():
traj._run_information[run_name]['completed']=1
self.assertTrue(traj.f_is_completed())
for run_name in traj.f_get_run_names():
self.assertTrue(traj.f_is_completed(run_name))
def test_if_picklable(self):