本文整理汇总了Python中state.State.is_empty方法的典型用法代码示例。如果您正苦于以下问题：Python State.is_empty方法的具体用法？Python State.is_empty怎么用？Python State.is_empty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state.State的用法示例。
在下文中一共展示了State.is_empty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: WPTUpdate
# 需要导入模块: from state import State [as 别名]
# 或者: from state.State import is_empty [as 别名]
class WPTUpdate(object):
def __init__(self, logger, runner_cls=UpdateRunner, **kwargs):
"""Object that controls the running of a whole wptupdate.
:param runner_cls: Runner subclass holding the overall list of
steps to run.
:param kwargs: Command line arguments
"""
self.runner_cls = runner_cls
self.serve_root = kwargs["test_paths"]["/"]["tests_path"]
if not kwargs["sync"]:
setup_paths(self.serve_root)
else:
if os.path.exists(kwargs["sync_path"]):
# If the sync path doesn't exist we defer this until it does
setup_paths(kwargs["sync_path"])
self.state = State(logger)
self.kwargs = kwargs
self.logger = logger
def run(self, **kwargs):
if self.kwargs["abort"]:
self.abort()
return exit_clean
if not self.kwargs["continue"] and not self.state.is_empty():
self.logger.error("Found existing state. Run with --continue to resume or --abort to clear state")
return exit_unclean
if self.kwargs["continue"]:
if self.state.is_empty():
self.logger.error("No sync in progress?")
return exit_clean
self.kwargs = self.state.kwargs
else:
self.state.kwargs = self.kwargs
self.state.serve_root = self.serve_root
update_runner = self.runner_cls(self.logger, self.state)
rv = update_runner.run()
if rv in (exit_clean, None):
self.state.clear()
return rv
def abort(self):
self.state.clear()示例2: run
# 需要导入模块: from state import State [as 别名]
# 或者: from state.State import is_empty [as 别名]
def run( self ):
for line in sys.stdin:
state = State( line )
own = []
for i in range( 0, state.R ):
for j in range( 0, state.C ):
if state.is_my_cell( i, j ):
own.append( ( i, j ) )
possible = []
for i in range( 0, state.R ):
for j in range( 0, state.C ):
if not state.is_empty( i, j ): continue
for p in own:
if State.distance( p, ( i, j ) ) < 2:
possible.append( ( i, j ) )
break
xx = ( -1, -1 )
my = ( state.R, state.C )
mx = ( state.R, state.C )
for p in possible:
if p[ 0 ] > xx[ 0 ]:
xx = p
if p[ 1 ] < my[ 1 ]:
my = p
if p[ 0 ] < mx[ 0 ]:
mx = p
Bot.send_move( [ mx, my, xx ] )