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曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.かつては雑草やヨモギと共に雨や露を分かち合っていたが、今では松やヒノキと共に霜や雪に耐えている。曾与蒿藜同雨露,Once sharing rain and dew with weeds and wormwood, now enduring frost and snow with pines and cypresses.终随松柏到冰霜.曾与蒿藜同雨露한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.,终随松柏到冰霜.譖セ荳手珍阯懷酔髮ィ髴イ�檎サ磯囂譚セ譟丞芦蜀ー髴�曾与蒿藜同雨露,鏇句笌钂胯棞鍚岄洦闇诧紝缁堥殢鏉炬煆鍒板啺闇�终随松柏到冰霜.曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.曾与蒿藜同雨露,终随松柏到冰霜.
from __future__ import absolute_import
from collections import namedtuple
from cerberus.platform import _int_types, _str_type, Mapping, Sequence, Set
TypeDefinition = namedtuple('TypeDefinition', 'name,included_types,excluded_types')
"""
This class is used to define types that can be used as value in the
:attr:`~cerberus.Validator.types_mapping` property.
The ``name`` should be descriptive and match the key it is going to be assigned
to.
A value that is validated against such definition must be an instance of any of
the types contained in ``included_types`` and must not match any of the types
contained in ``excluded_types``.
"""
def compare_paths_lt(x, y):
min_length = min(len(x), len(y))
if x[:min_length] == y[:min_length]:
return len(x) == min_length
for i in range(min_length):
a, b = x[i], y[i]
for _type in (_int_types, _str_type, tuple):
if isinstance(a, _type):
if isinstance(b, _type):
break
else:
return True
if a == b:
continue
elif a < b:
return True
else:
return False
raise RuntimeError
def drop_item_from_tuple(t, i):
return t[:i] + t[i + 1 :]
def get_Validator_class():
global Validator
if 'Validator' not in globals():
from cerberus.validator import Validator
return Validator
def mapping_hash(schema):
return hash(mapping_to_frozenset(schema))
def mapping_to_frozenset(mapping):
"""
Be aware that this treats any sequence type with the equal members as equal. As it
is used to identify equality of schemas, this can be considered okay as definitions
are semantically equal regardless the container type.
"""
aggregation = {}
for key, value in mapping.items():
if isinstance(value, Mapping):
aggregation[key] = mapping_to_frozenset(value)
elif isinstance(value, Sequence):
value = list(value)
for i, item in enumerate(value):
if isinstance(item, Mapping):
value[i] = mapping_to_frozenset(item)
aggregation[key] = tuple(value)
elif isinstance(value, Set):
aggregation[key] = frozenset(value)
else:
aggregation[key] = value
return frozenset(aggregation.items())
def quote_string(value):
if isinstance(value, _str_type):
return '"%s"' % value
else:
return value
class readonly_classproperty(property):
def __get__(self, instance, owner):
return super(readonly_classproperty, self).__get__(owner)
def __set__(self, instance, value):
raise RuntimeError('This is a readonly class property.')
def __delete__(self, instance):
raise RuntimeError('This is a readonly class property.')
def validator_factory(name, bases=None, namespace={}):
"""
Dynamically create a :class:`~cerberus.Validator` subclass.
Docstrings of mixin-classes will be added to the resulting class' one if ``__doc__``
is not in :obj:`namespace`.
:param name: The name of the new class.
:type name: :class:`str`
:param bases: Class(es) with additional and overriding attributes.
:type bases: :class:`tuple` of or a single :term:`class`
:param namespace: Attributes for the new class.
:type namespace: :class:`dict`
:return: The created class.
"""
Validator = get_Validator_class()
if bases is None:
bases = (Validator,)
elif isinstance(bases, tuple):
bases += (Validator,)
else:
bases = (bases, Validator)
docstrings = [x.__doc__ for x in bases if x.__doc__]
if len(docstrings) > 1 and '__doc__' not in namespace:
namespace.update({'__doc__': '\n'.join(docstrings)})
return type(name, bases, namespace)