本文整理匯總了Python中pyparsing.NoMatch方法的典型用法代碼示例。如果您正苦於以下問題：Python pyparsing.NoMatch方法的具體用法？Python pyparsing.NoMatch怎麽用？Python pyparsing.NoMatch使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pyparsing的用法示例。
在下文中一共展示了pyparsing.NoMatch方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _make_matcher_element
# 需要導入模塊: import pyparsing [as 別名]
# 或者: from pyparsing import NoMatch [as 別名]
def _make_matcher_element(self):
return self._set_matcher_element_attributes(pyparsing.NoMatch()) 示例2: _make_matcher_element
# 需要導入模塊: import pyparsing [as 別名]
# 或者: from pyparsing import NoMatch [as 別名]
def _make_matcher_element(self):
# Handle the case where use_current_match is True.
if self.use_current_match is True:
current_match = self.current_match
if current_match is None:
result = pyparsing.NoMatch()
elif current_match == "":
result = pyparsing.Empty()
else:
result = pyparsing.Literal(self.current_match)
# Set the parse action and return the element.
return result.setParseAction(self._parse_action)
# Otherwise build a list of next possible literals. Make the required stack
# of child-parent pairs.
stack = []
p1, p2 = self, self.parent
while p1 and p2:
stack.append((p1, p2))
# Move both pivots further up the tree.
p1 = p1.parent
p2 = p2.parent
# Build a list of next literals using the stack.
next_literals, _ = _collect_next_literals(stack, 0, True, False)
# De-duplicate the list.
next_literals = set(next_literals)
word = pyparsing.Regex(_word_regex_str, re.UNICODE)
if next_literals:
# Check if there is a next dictation literal. If there is, only match
# one word for this expansion.
if _word_regex_str in next_literals:
result = word
# Otherwise build an element to match one or more words stopping on
# any of the next literals so that they aren't matched as dictation.
else:
next_literals = list(map(pyparsing.Literal, next_literals))
result = pyparsing.OneOrMore(
word, stopOn=pyparsing.Or(next_literals)
)
else:
# Handle the case of no literals ahead by allowing one or more Unicode
# words without restrictions.
result = pyparsing.OneOrMore(word)
return self._set_matcher_element_attributes(result)