本文整理汇总了Python中multiprocessing.Value.iteration方法的典型用法代码示例。如果您正苦于以下问题：Python Value.iteration方法的具体用法？Python Value.iteration怎么用？Python Value.iteration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multiprocessing.Value的用法示例。
在下文中一共展示了Value.iteration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: _init_visualization_and_io
# 需要导入模块: from multiprocessing import Value [as 别名]
# 或者: from multiprocessing.Value import iteration [as 别名]
def _init_visualization_and_io(self, sim):
if self.config.output:
output_cls = io.format_name_to_cls[self.config.output_format]
else:
output_cls = io.LBOutput
if self.config.mode != 'visualization':
return lambda subdomain: output_cls(self.config, subdomain.id)
# basic_fields = sim.fields()
# XXX compute total storage requirements
for subdomain in self.subdomains:
size = reduce(operator.mul, subdomain.size)
vis_lock = mp.Lock()
vis_buffer = Array(ctypes.c_float, size, lock=vis_lock)
vis_geo_buffer = Array(ctypes.c_uint8, size, lock=vis_lock)
subdomain.set_vis_buffers(vis_buffer, vis_geo_buffer)
vis_lock = mp.Lock()
vis_config = Value(io.VisConfig, lock=vis_lock)
vis_config.iteration = -1
vis_config.field_name = ''
vis_config.all_blocks = False
# Start the visualizatione engine.
vis_class = None
for engine in util.get_visualization_engines():
if engine.name == self.config.vis_engine:
vis_class = engine
break
if vis_class is None:
self.config.logger.warning('Requested visualization engine not '
'available.')
try:
vis_class = util.get_visualization_engines().next()
except StopIteration:
self.config.logger.warning(
'No visualization backends available. Falling back to '
'batch mode.')
self.config.mode = 'batch'
return lambda subdomain: output_cls(self.config, subdomain.id)
# Event to signal that the visualization process should be terminated.
self._vis_quit_event = Event()
self._vis_process = Process(
target=lambda: vis_class(
self.config, self.subdomains, self._vis_quit_event,
self._quit_event, vis_config).run(),
name='VisEngine')
self._vis_process.start()
return lambda subdomain: io.VisualizationWrapper(
self.config, subdomain, vis_config, output_cls)示例2: _init_visualization_and_io
# 需要导入模块: from multiprocessing import Value [as 别名]
# 或者: from multiprocessing.Value import iteration [as 别名]
def _init_visualization_and_io(self, sim):
if self.config.output:
output_cls = io.format_name_to_cls[self.config.output_format]
else:
# Dummy output class. Does not actually save data, but does provide
# utility functions common to all output classes.
output_cls = io.LBOutput
if self.config.mode != 'visualization':
return lambda subdomain: output_cls(self.config, subdomain.id)
# XXX compute total storage requirements
self._vis_geo_queues = []
for subdomain in self.subdomain_specs:
self._vis_geo_queues.append(subdomain.init_visualization())
vis_lock = mp.Lock()
vis_config = Value(io.VisConfig, lock=vis_lock)
vis_config.iteration = -1
vis_config.field_name = ''
vis_config.all_subdomains = False
# Start the visualizatione engine.
vis_class = None
for engine in util.get_visualization_engines():
if engine.name == self.config.vis_engine:
vis_class = engine
break
if vis_class is None:
self.config.logger.warning('Requested visualization engine not '
'available.')
try:
vis_class = util.get_visualization_engines().next()
except StopIteration:
self.config.logger.warning(
'No visualization backends available. Falling back to '
'batch mode.')
self.config.mode = 'batch'
return lambda subdomain: output_cls(self.config, subdomain.id)
# Event to signal that the visualization process should be terminated.
self._vis_quit_event = Event()
self._vis_process = Process(
target=lambda: vis_class(
self.config, self.subdomain_specs, self._vis_quit_event,
self._quit_event, vis_config, self._vis_geo_queues).run(),
name='VisEngine')
self._vis_process.start()
return lambda subdomain: io.VisualizationWrapper(
self.config, subdomain, vis_config, output_cls)示例3: _init_visualization_and_io
# 需要导入模块: from multiprocessing import Value [as 别名]
# 或者: from multiprocessing.Value import iteration [as 别名]
def _init_visualization_and_io(self, sim):
if self.config.output:
output_cls = io.format_name_to_cls[self.config.output_format]
else:
output_cls = io.LBOutput
if self.config.mode != 'visualization':
return lambda subdomain: output_cls(self.config, subdomain.id)
# basic_fields = sim.fields()
# XXX compute total storage requirements
for subdomain in self.subdomains:
size = reduce(operator.mul, subdomain.size)
vis_lock = mp.Lock()
vis_buffer = Array(ctypes.c_float, size, lock=vis_lock)
vis_geo_buffer = Array(ctypes.c_uint8, size, lock=vis_lock)
subdomain.set_vis_buffers(vis_buffer, vis_geo_buffer)
vis_lock = mp.Lock()
vis_config = Value(io.VisConfig, lock=vis_lock)
vis_config.iteration = -1
vis_config.field_name = ''
vis_config.all_blocks = False
# Start the visualizatione engine.
vis_class = util.get_visualization_engines().next()
# Event to signal that the visualization process should be terminated.
self._vis_quit_event = Event()
self._vis_process = Process(
target=lambda: vis_class(
self.config, self.subdomains, self._vis_quit_event,
self._quit_event, vis_config).run(),
name='VisEngine')
self._vis_process.start()
return lambda subdomain: io.VisualizationWrapper(
self.config, subdomain, vis_config, output_cls)