本文整理汇总了Python中simulation.Simulation.load方法的典型用法代码示例。如果您正苦于以下问题：Python Simulation.load方法的具体用法？Python Simulation.load怎么用？Python Simulation.load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simulation.Simulation的用法示例。
在下文中一共展示了Simulation.load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: explore
# 需要导入模块: from simulation import Simulation [as 别名]
# 或者: from simulation.Simulation import load [as 别名]
def explore(fpath):
_, ext = splitext(fpath)
ftype = 'data' if ext in ('.h5', '.hdf5') else 'simulation'
print("Using %s file: '%s'" % (ftype, fpath))
if ftype == 'data':
globals_def, entities = entities_from_h5(fpath)
data_source = H5Data(None, fpath)
h5in, _, globals_data = data_source.load(globals_def, entities)
h5out = None
simulation = Simulation(globals_def, None, None, None, None,
entities.values(), None)
period, entity_name = None, None
else:
simulation = Simulation.from_yaml(fpath)
h5in, h5out, globals_data = simulation.load()
period = simulation.start_period + simulation.periods - 1
entity_name = simulation.default_entity
entities = simulation.entities_map
if entity_name is None and len(entities) == 1:
entity_name = entities.keys()[0]
if period is None and entity_name is not None:
entity = entities[entity_name]
period = max(entity.output_index.keys())
eval_ctx = EvaluationContext(simulation, entities, globals_data, period,
entity_name)
try:
c = Console(eval_ctx)
c.run()
finally:
h5in.close()
if h5out is not None:
h5out.close()示例2: explore
# 需要导入模块: from simulation import Simulation [as 别名]
# 或者: from simulation.Simulation import load [as 别名]
def explore(fpath):
_, ext = splitext(fpath)
ftype = 'data' if ext in ('.h5', '.hdf5') else 'simulation'
print("Using {} file: '{}'".format(ftype, fpath))
if ftype == 'data':
globals_def, entities = entities_from_h5(fpath)
simulation = Simulation(globals_def, None, None, None, None,
entities.values(), 'h5', fpath, None)
period, entity_name = None, None
else:
simulation = Simulation.from_yaml(fpath)
# use output as input
simulation.data_source = H5Source(simulation.data_sink.output_path)
period = simulation.start_period + simulation.periods - 1
entity_name = simulation.default_entity
dataset = simulation.load()
data_source = simulation.data_source
data_source.as_fake_output(dataset, simulation.entities_map)
data_sink = simulation.data_sink
entities = simulation.entities_map
if entity_name is None and len(entities) == 1:
entity_name = entities.keys()[0]
if period is None and entity_name is not None:
entity = entities[entity_name]
period = max(entity.output_index.keys())
eval_ctx = EvaluationContext(simulation, entities, dataset['globals'],
period, entity_name)
try:
c = Console(eval_ctx)
c.run()
finally:
data_source.close()
if data_sink is not None:
data_sink.close()