本文整理汇总了Python中spyne.model.SimpleModel.validate_string方法的典型用法代码示例。如果您正苦于以下问题:Python SimpleModel.validate_string方法的具体用法?Python SimpleModel.validate_string怎么用?Python SimpleModel.validate_string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spyne.model.SimpleModel
的用法示例。
在下文中一共展示了SimpleModel.validate_string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: validate_string
# 需要导入模块: from spyne.model import SimpleModel [as 别名]
# 或者: from spyne.model.SimpleModel import validate_string [as 别名]
def validate_string(cls, value):
return ( SimpleModel.validate_string(cls, value)
and (value is None or (
len(value) >= cls.Attributes.min_len
and len(value) <= cls.Attributes.max_len
and _re_match_with_span(cls.Attributes, value)
)))
示例2: validate_string
# 需要导入模块: from spyne.model import SimpleModel [as 别名]
# 或者: from spyne.model.SimpleModel import validate_string [as 别名]
def validate_string(cls, value):
return SimpleModel.validate_string(cls, value) and (
value is None or (
len(value) <= (cls.Attributes.total_digits +
cls.Attributes.fraction_digits + 1)
# + 1 is for decimal separator
))
示例3: validate_string
# 需要导入模块: from spyne.model import SimpleModel [as 别名]
# 或者: from spyne.model.SimpleModel import validate_string [as 别名]
def validate_string(cls, value):
return ( SimpleModel.validate_string(cls, value)
and (value is None or (
len(value) >= cls.Attributes.min_len
and len(value) <= cls.Attributes.max_len
and (cls.Attributes.pattern is None or
re.match(cls.Attributes.pattern, value) is not None)
)))
示例4: validate_string
# 需要导入模块: from spyne.model import SimpleModel [as 别名]
# 或者: from spyne.model.SimpleModel import validate_string [as 别名]
def validate_string(cls, value):
return SimpleModel.validate_string(cls, value) and (
value is None or (len(value) <= cls.Attributes.max_str_len)
)
示例5: validate_string
# 需要导入模块: from spyne.model import SimpleModel [as 别名]
# 或者: from spyne.model.SimpleModel import validate_string [as 别名]
def validate_string(cls, value):
return SimpleModel.validate_string(cls, value) and value in cls.__values__