本文整理汇总了Python中pyparsing.Empty方法的典型用法代码示例。如果您正苦于以下问题:Python pyparsing.Empty方法的具体用法?Python pyparsing.Empty怎么用?Python pyparsing.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pyparsing
的用法示例。
在下文中一共展示了pyparsing.Empty方法的6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: _make_matcher_element
# 需要导入模块: import pyparsing [as 别名]
# 或者: from pyparsing import Empty [as 别名]
def _make_matcher_element(self):
return self._set_matcher_element_attributes(pyparsing.Empty())
示例2: _ParseFieldsMetadata
# 需要导入模块: import pyparsing [as 别名]
# 或者: from pyparsing import Empty [as 别名]
def _ParseFieldsMetadata(self, structure):
"""Parses the fields metadata and updates the log line definition to match.
Args:
structure (pyparsing.ParseResults): structure parsed from the log file.
"""
fields = self._GetValueFromStructure(structure, 'fields', default_value='')
fields = fields.strip()
fields = fields.split(' ')
log_line_structure = pyparsing.Empty()
if fields[0] == 'date' and fields[1] == 'time':
log_line_structure += self.DATE_TIME.setResultsName('date_time')
fields = fields[2:]
for member in fields:
log_line_structure += self._LOG_LINE_STRUCTURES.get(member, self.URI)
updated_structures = []
for line_structure in self._line_structures:
if line_structure[0] != 'logline':
updated_structures.append(line_structure)
updated_structures.append(('logline', log_line_structure))
# TODO: self._line_structures is a work-around and this needs
# a structural fix.
self._line_structures = updated_structures
示例3: _match_boolean
# 需要导入模块: import pyparsing [as 别名]
# 或者: from pyparsing import Empty [as 别名]
def _match_boolean(literal):
return (
literal
+ pyparsing.Empty().setParseAction(pyparsing.replaceWith("="))
+ pyparsing.Empty().setParseAction(pyparsing.replaceWith(True))
)
示例4: parseWithLocation
# 需要导入模块: import pyparsing [as 别名]
# 或者: from pyparsing import Empty [as 别名]
def parseWithLocation(expr, action):
startMarker = p.Empty().setParseAction(lambda s, loc, t: loc)
endMarker = startMarker.copy()
complete = startMarker + expr + endMarker
startMarker.setName(str(expr))
def parseAction(s, loc, t):
start, inner_tokens, end = t[0], t[1:-1], t[-1]
src_loc = SourceLocation(s, start, end)
return callParseAction(action, src_loc, inner_tokens)
complete.setParseAction(parseAction)
return complete
示例5: bracketedList
# 需要导入模块: import pyparsing [as 别名]
# 或者: from pyparsing import Empty [as 别名]
def bracketedList(l, r, sep, expr, allow_missing_close=False):
"""Parse bracketed list.
Empty list is possible, as is a trailing separator.
"""
# We may need to backtrack for lists, because of list comprehension, but not for
# any of the other lists
strict = l != '['
closer = sym(r) if not allow_missing_close else p.Optional(sym(r))
if strict:
return sym(l) - listMembers(sep, expr) - closer
else:
return sym(l) + listMembers(sep, expr) + closer
示例6: _make_matcher_element
# 需要导入模块: import pyparsing [as 别名]
# 或者: from pyparsing import Empty [as 别名]
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)