本文整理汇总了Python中docutils.statemachine.StateMachineWS.run方法的典型用法代码示例。如果您正苦于以下问题：Python StateMachineWS.run方法的具体用法？Python StateMachineWS.run怎么用？Python StateMachineWS.run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docutils.statemachine.StateMachineWS的用法示例。
在下文中一共展示了StateMachineWS.run方法的5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: run
# 需要导入模块: from docutils.statemachine import StateMachineWS [as 别名]
# 或者: from docutils.statemachine.StateMachineWS import run [as 别名]
def run(self, input_lines, input_offset, memo, node, match_titles=True):
"""
Parse `input_lines` and populate a `docutils.nodes.document` instance.
Extend `StateMachineWS.run()`: set up document-wide data.
"""
self.match_titles = match_titles
self.memo = memo
self.document = memo.document
self.attach_observer(self.document.note_source)
self.reporter = memo.reporter
self.language = memo.language
self.node = node
results = StateMachineWS.run(self, input_lines, input_offset)
assert results == [], ('NestedStateMachine.run() results should be '
'empty!')
return results 示例2: no_match
# 需要导入模块: from docutils.statemachine import StateMachineWS [as 别名]
# 或者: from docutils.statemachine.StateMachineWS import run [as 别名]
def no_match(self, context, transitions):
"""
Override `StateWS.no_match` to generate a system message.
This code should never be run.
"""
self.reporter.severe(
'Internal error: no transition pattern match. State: "%s"; '
'transitions: %s; context: %s; current line: %r.'
% (self.__class__.__name__, transitions, context,
self.state_machine.line))
return context, None, [] 示例3: nested_parse
# 需要导入模块: from docutils.statemachine import StateMachineWS [as 别名]
# 或者: from docutils.statemachine.StateMachineWS import run [as 别名]
def nested_parse(self, block, input_offset, node, match_titles=False,
state_machine_class=None, state_machine_kwargs=None):
"""
Create a new StateMachine rooted at `node` and run it over the input
`block`.
"""
use_default = 0
if state_machine_class is None:
state_machine_class = self.nested_sm
use_default += 1
if state_machine_kwargs is None:
state_machine_kwargs = self.nested_sm_kwargs
use_default += 1
block_length = len(block)
state_machine = None
if use_default == 2:
try:
state_machine = self.nested_sm_cache.pop()
except IndexError:
pass
if not state_machine:
state_machine = state_machine_class(debug=self.debug,
**state_machine_kwargs)
state_machine.run(block, input_offset, memo=self.memo,
node=node, match_titles=match_titles)
if use_default == 2:
self.nested_sm_cache.append(state_machine)
else:
state_machine.unlink()
new_offset = state_machine.abs_line_offset()
# No `block.parent` implies disconnected -- lines aren't in sync:
if block.parent and (len(block) - block_length) != 0:
# Adjustment for block if modified in nested parse:
self.state_machine.next_line(len(block) - block_length)
return new_offset 示例4: nested_list_parse
# 需要导入模块: from docutils.statemachine import StateMachineWS [as 别名]
# 或者: from docutils.statemachine.StateMachineWS import run [as 别名]
def nested_list_parse(self, block, input_offset, node, initial_state,
blank_finish,
blank_finish_state=None,
extra_settings={},
match_titles=False,
state_machine_class=None,
state_machine_kwargs=None):
"""
Create a new StateMachine rooted at `node` and run it over the input
`block`. Also keep track of optional intermediate blank lines and the
required final one.
"""
if state_machine_class is None:
state_machine_class = self.nested_sm
if state_machine_kwargs is None:
state_machine_kwargs = self.nested_sm_kwargs.copy()
state_machine_kwargs['initial_state'] = initial_state
state_machine = state_machine_class(debug=self.debug,
**state_machine_kwargs)
if blank_finish_state is None:
blank_finish_state = initial_state
state_machine.states[blank_finish_state].blank_finish = blank_finish
for key, value in list(extra_settings.items()):
setattr(state_machine.states[initial_state], key, value)
state_machine.run(block, input_offset, memo=self.memo,
node=node, match_titles=match_titles)
blank_finish = state_machine.states[blank_finish_state].blank_finish
state_machine.unlink()
return state_machine.abs_line_offset(), blank_finish 示例5: nested_list_parse
# 需要导入模块: from docutils.statemachine import StateMachineWS [as 别名]
# 或者: from docutils.statemachine.StateMachineWS import run [as 别名]
def nested_list_parse(self, block, input_offset, node, initial_state,
blank_finish,
blank_finish_state=None,
extra_settings={},
match_titles=False,
state_machine_class=None,
state_machine_kwargs=None):
"""
Create a new StateMachine rooted at `node` and run it over the input
`block`. Also keep track of optional intermediate blank lines and the
required final one.
"""
if state_machine_class is None:
state_machine_class = self.nested_sm
if state_machine_kwargs is None:
state_machine_kwargs = self.nested_sm_kwargs.copy()
state_machine_kwargs['initial_state'] = initial_state
state_machine = state_machine_class(debug=self.debug,
**state_machine_kwargs)
if blank_finish_state is None:
blank_finish_state = initial_state
state_machine.states[blank_finish_state].blank_finish = blank_finish
for key, value in extra_settings.items():
setattr(state_machine.states[initial_state], key, value)
state_machine.run(block, input_offset, memo=self.memo,
node=node, match_titles=match_titles)
blank_finish = state_machine.states[blank_finish_state].blank_finish
state_machine.unlink()
return state_machine.abs_line_offset(), blank_finish