本文整理汇总了Python中pypet.Trajectory.v_lazy_adding方法的典型用法代码示例。如果您正苦于以下问题:Python Trajectory.v_lazy_adding方法的具体用法?Python Trajectory.v_lazy_adding怎么用?Python Trajectory.v_lazy_adding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
的用法示例。
在下文中一共展示了Trajectory.v_lazy_adding方法的3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: test_no_run_information_loading
# 需要导入模块: from pypet import Trajectory [as 别名]
# 或者: from pypet.Trajectory import v_lazy_adding [as 别名]
def test_no_run_information_loading(self):
filename = make_temp_dir('testnoruninfo.hdf5')
traj = Trajectory(name='TestDelete',
filename=filename)
length = 100000
traj.v_lazy_adding = True
traj.par.x = 42
traj.f_explore({'x': range(length)})
traj.f_store()
traj = load_trajectory(index=-1, filename=filename, with_run_information=False)
self.assertEqual(len(traj), length)
self.assertEqual(len(traj._run_information), 1)
示例2: print
# 需要导入模块: from pypet import Trajectory [as 别名]
# 或者: from pypet.Trajectory import v_lazy_adding [as 别名]
# See:
print('t=' + str(traj.t))
# What happens if our new parameter's name does not match the name passed to the constructor?
traj.parameters.subgroup = Parameter('v', 2, comment='Fourth dimension')
# Well, since 'subgroup' != 'v', 'subgroup' becomes just another group node created on the fly
print(traj.parameters.subgroup)
# This even works for already existing groups and with the well known *dot* notation:
traj.parameters = Parameter('subgroup.subsubgroup.w', 2)
# See
print('w='+str(traj.par.subgroup.subsubgroup.w))
# There's a lazy version which does not require a constructor.
# This can be turned on via
traj.v_lazy_adding = True
# And you can add a new parameter via
traj.parameters.u = 1, 'Fourth dimension'
print('u=' + str(traj.u))
# However, now you can no longer change values of existing parameters,
# because this is interpreted as a new parameter addition, so this fails:
try:
traj.parameters.u = 2
print('I won`t be reached')
except AttributeError as exc:
print('Told you: `%s`' % repr(exc))
# See:
print('u=' + str(traj.par.u))
# But disabling the new adding method makes this work again
traj.v_lazy_adding = False
示例3: test_new_assignment_method
# 需要导入模块: from pypet import Trajectory [as 别名]
# 或者: from pypet.Trajectory import v_lazy_adding [as 别名]
def test_new_assignment_method(self):
filename = make_temp_dir('newassignment.hdf5')
traj = Trajectory(filename=filename)
traj.v_lazy_adding = True
comment = 'A number'
traj.par.x = 44, comment
self.assertTrue(traj.f_get('x').v_comment == comment)
traj.par.iamgroup = a_new_group
self.assertTrue(isinstance(traj.iamgroup, ParameterGroup))
traj.v_lazy_adding = False
traj.x = 45
self.assertTrue(traj.par.f_get('x').f_get() == 45)
self.assertTrue(isinstance(traj.f_get('x'), Parameter))
traj.f = Parameter('lll', 444, 'lll')
self.assertTrue(traj.f_get('f').v_name == 'f')
traj.v_lazy_adding = True
traj.res.k = 22, 'Hi'
self.assertTrue(isinstance(traj.f_get('k'), Result))
self.assertTrue(traj.f_get('k')[1] == 'Hi')
with self.assertRaises(AttributeError):
traj.res.k = 33, 'adsd'
conf = traj.conf
with self.assertRaises(AttributeError):
conf = traj.conf.jjjj
traj.f_set_properties(fast_access=True)
traj.crun = 43, 'JJJ'
self.assertTrue(traj.run_A[0] == 43)
with self.assertRaises(AttributeError):
traj.f_set_properties(j=7)
with self.assertRaises(AttributeError):
traj.f_set_properties(depth=7)
traj.hui = (('444', 'kkkk',), 'l')
self.assertTrue(traj.f_get('hui')[1] == 'l')
with self.assertRaises(AttributeError):
traj.hui = ('445', 'kkkk',)
traj.f_get('hui').f_set(('445', 'kkkk',))
self.assertTrue(traj.f_get('hui')[1] == 'l')
self.assertTrue(traj.hui[0] == ('445', 'kkkk',))
traj.f_add_link('klkikju', traj.par) # for shizzle
traj.meee = Result('h', 43, hui = 3213, comment='du')
self.assertTrue(traj.meee.h.h == 43)
with self.assertRaises(TypeError):
traj.par.mu = NNGroupNode('jj', comment='mi')
with self.assertRaises(TypeError):
traj.res.mu = NNGroupNode('jj', comment='mi')
with self.assertRaises(TypeError):
traj.conf.mu = NNGroupNode('jj', comment='mi')
with self.assertRaises(TypeError):
traj.dpar.mu = NNGroupNode('jj', comment='mi')
with self.assertRaises(TypeError):
traj.par.mu = ResultGroup('jj', comment='mi')
with self.assertRaises(TypeError):
traj.dpar.mu = ResultGroup('jj', comment='mi')
with self.assertRaises(TypeError):
traj.conf.mu = ResultGroup('jj', comment='mi')
with self.assertRaises(TypeError):
traj.mu = ResultGroup('jj', comment='mi')
with self.assertRaises(TypeError):
traj.par.mu = ConfigGroup('jj', comment='mi')
with self.assertRaises(TypeError):
traj.dpar.mu = ConfigGroup('jj', comment='mi')
with self.assertRaises(TypeError):
traj.res.mu = ConfigGroup('jj', comment='mi')
with self.assertRaises(TypeError):
traj.mu = ConfigGroup('jj', comment='mi')
with self.assertRaises(TypeError):
traj.par.mu = DerivedParameterGroup('jj', comment='mi')
with self.assertRaises(TypeError):
traj.conf.mu = DerivedParameterGroup('jj', comment='mi')
#.........这里部分代码省略.........