本文整理汇总了Python中pypet.trajectory.Trajectory.f_explore方法的典型用法代码示例。如果您正苦于以下问题：Python Trajectory.f_explore方法的具体用法？Python Trajectory.f_explore怎么用？Python Trajectory.f_explore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.f_explore方法的6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: setUp
# 需要导入模块: from pypet.trajectory import Trajectory [as 别名]
# 或者: from pypet.trajectory.Trajectory import f_explore [as 别名]
def setUp(self):
logging.basicConfig(level = logging.INFO)
traj = Trajectory('Test')
traj.v_storage_service = LazyStorageService()
large_amount = 111
for irun in range(large_amount):
name = 'There.Are.Many.Parameters.Like.Me' + str(irun)
traj.f_add_parameter(name, irun)
traj.f_add_parameter('TestExplorer', 1)
traj.v_fast_access=False
traj.f_explore({traj.TestExplorer.v_full_name:[1,2,3,4,5]})
traj.v_fast_access=True
self.traj = traj
self.n = 1
self.single_run = self.traj._make_single_run(self.n)
self.assertTrue(len(self.single_run)==1)示例2: test_f_is_completed
# 需要导入模块: from pypet.trajectory import Trajectory [as 别名]
# 或者: from pypet.trajectory.Trajectory import f_explore [as 别名]
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))示例3: test_wildcard_search
# 需要导入模块: from pypet.trajectory import Trajectory [as 别名]
# 或者: from pypet.trajectory.Trajectory import f_explore [as 别名]
def test_wildcard_search(self):
traj = Trajectory(name='Test', filename=make_temp_file('wilcard.hdf5'))
traj.f_add_parameter('expl', 2)
traj.f_explore({'expl':[1,2,3,4]})
traj.f_add_result('wc2test.$.hhh', 333)
traj.f_add_leaf('results.wctest.run_00000000.jjj', 42)
traj.f_add_result('results.wctest.run_00000001.jjj', 43)
traj.v_as_run = 1
self.assertTrue(traj.results.wctest['$'].jjj==43)
self.assertTrue(traj.results.wc2test.crun.hhh==333)
traj.f_store()
traj.f_remove_child('results', recursive=True)
traj.v_auto_load = True
self.assertTrue(traj.results.wctest['$'].jjj==43)
self.assertTrue(traj.results.wc2test.crun.hhh==333)
traj.f_remove_child('results', recursive=True)
traj.v_auto_load = True
self.assertTrue(traj.results.wctest[-2].jjj==43)
self.assertTrue(traj.results.wc2test[-2].hhh==333)
traj.f_remove_child('results', recursive=True)
traj.v_auto_load = True
self.assertTrue(traj.results.wctest[1].jjj==43)
self.assertTrue(traj.results.wc2test[-1].hhh==333)示例4: main
# 需要导入模块: from pypet.trajectory import Trajectory [as 别名]
# 或者: from pypet.trajectory.Trajectory import f_explore [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5: TrajectoryMergeTest
# 需要导入模块: from pypet.trajectory import Trajectory [as 别名]
# 或者: from pypet.trajectory.Trajectory import f_explore [as 别名]
class TrajectoryMergeTest(unittest.TestCase):
def setUp(self):
name = 'Moop'
self.traj = Trajectory(name,[ImAParameterInDisguise])
comment = 'This is a comment'
self.traj.v_comment=comment
self.assertTrue(comment == self.traj.v_comment)
self.traj.f_add_parameter('IntParam',3)
sparsemat = spsp.csr_matrix((1000,1000))
sparsemat[1,2] = 17.777
#self.traj.f_add_parameter('SparseParam', sparsemat, param_type=PickleParameter)
self.traj.f_add_parameter('FloatParam')
self.traj.f_add_derived_parameter(Parameter('FortyTwo', 42))
self.traj.f_add_parameter('Trials',0)
self.traj.f_add_result(Result,'Im.A.Simple.Result',44444)
self.traj.FloatParam=4.0
self.traj.v_storage_service = LazyStorageService()
self.traj.f_explore({'FloatParam':[1.0,1.1,1.2,1.3],'Trials':[0,1,2,3]})
self.assertTrue(len(self.traj) == 4)
name2 = 'aaaaah'
self.traj2 = Trajectory(name2,[ImAParameterInDisguise])
comment = 'This is a comment'
self.traj2.v_comment=comment
self.assertTrue(comment == self.traj2.v_comment)
self.traj2.f_add_parameter('IntParam',3)
sparsemat = spsp.csr_matrix((1000,1000))
sparsemat[1,2] = 17.777
#self.traj2.f_add_parameter('SparseParam', sparsemat, param_type=PickleParameter)
self.traj2.f_add_parameter('Trials',0)
self.traj2.f_add_parameter('FloatParam')
self.traj2.f_add_derived_parameter(Parameter('FortyTwo', 42))
self.traj2.f_add_result(Result,'Im.A.Simple.Result',44444)
self.traj2.FloatParam=4.0
self.traj2.f_explore({'FloatParam':[42.0,43.0,1.2,1.3],'Trials':[0,1,2,3]})
self.traj2.v_storage_service = LazyStorageService()
self.assertTrue(len(self.traj2) == 4)
def test_merge_parameters_without_remove(self):
# remove_duplicates = True should be discarded by the trial parameter
self.traj._merge_parameters(self.traj2, trial_parameter_name='Trials',remove_duplicates=True)
def test_merge_parameters_with_remove(self):
self.traj._merge_parameters(self.traj2,remove_duplicates=True)
def test_merge_without_remove(self):
self.traj.f_merge(self.traj2, remove_duplicates=True,trial_parameter='Trials')
def test_merge_with_remove(self):
self.traj.f_merge(self.traj2, remove_duplicates=True)示例6: TrajectoryTest
# 需要导入模块: from pypet.trajectory import Trajectory [as 别名]
# 或者: from pypet.trajectory.Trajectory import f_explore [as 别名]
class TrajectoryTest(unittest.TestCase):
def setUp(self):
name = 'Moop'
self.traj = Trajectory(name,dynamically_imported_classes=[ImAParameterInDisguise,
'pypet.tests.test_helpers.ImAResultInDisguise'])
self.assertTrue(self.traj.f_is_empty())
comment = 'This is a comment'
self.traj.v_comment=comment
self.assertTrue(comment == self.traj.v_comment)
self.traj.f_add_parameter('IntParam',3)
sparsemat = spsp.csr_matrix((1000,1000))
sparsemat[1,2] = 17.777
self.traj.f_add_parameter(PickleParameter,'SparseParam', sparsemat)
self.traj.f_add_parameter('FloatParam')
self.traj.f_add_derived_parameter(Parameter('FortyTwo', 42))
self.traj.f_add_result(Result,'Im.A.Simple.Result',44444)
self.traj.FloatParam=4.0
self.explore_dict = {'FloatParam':[1.0,1.1,1.2,1.3]}
self.traj.f_explore(self.explore_dict)
self.assertTrue(len(self.traj) == 4)
self.traj.f_add_parameter_group('peter.paul')
self.traj.f_add_parameter('peter.markus.yve',6)
self.traj.f_add_result('Test',42)
self.traj.peter.f_add_parameter('paul.peter')
self.traj.f_add_config('make.impossible.promises',1)
with self.assertRaises(AttributeError):
self.traj.markus.peter
with self.assertRaises(ValueError):
self.traj.f_add_parameter('Peter. h ._hurz')
def test_shrink(self):
self.assertTrue(len(self.traj)>1)
self.traj.f_shrink()
self.assertTrue(len(self.traj)==1)
self.assertTrue(len(self.traj.f_get_explored_parameters())==0)
def test_get_all(self):
all_nodes = self.traj.f_get_all('peter')
self.assertTrue(len(all_nodes)==2)
all_nodes = self.traj.f_get_all('peter.yve')
self.assertTrue(len(all_nodes)==1)
all_nodes = self.traj.f_get_all('paul.yve')
self.assertTrue(len(all_nodes)==0)
self.traj.f_add_parameter('paul.paul')
all_nodes = self.traj.peter.f_get_all('paul')
self.assertTrue(len(all_nodes)==1)
self.traj.f_add_result('results.runs.run_00000000.x.y',10)
self.traj.f_add_result('results.runs.run_00000001.x.y',10)
self.traj.f_add_derived_parameter('hfhfhf.x.y')
self.traj.f_add_result('x.y.y')
self.traj.f_as_run(1)
all_nodes=self.traj.f_get_all('x.y')
self.assertTrue(len(all_nodes)==4)
def test_backwards_search(self):
x=self.traj.peter.f_get('paul.peter', backwards_search=False)
#.........这里部分代码省略.........