Docs for IS_DATETIME_IN_RANGE

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Description


<type 'type'> extends (<class 'gluon.validators.IS_DATETIME'>,)



















Examples:
Use as::
>>>
v = IS_DATETIME_IN_RANGE( minimum=datetime.datetime(2008,1,1,12,20), maximum=datetime.datetime(2009,12,31,12,20), format="%m/%d/%Y %H:%M",error_message="Oops")
>>>
v('03/03/2008 12:40')
(
datetime.datetime(2008, 3, 3, 12, 40), None)

>>>
v('03/03/2010 10:34')
(
'03/03/2010 10:34', 'oops')

>>>
v(datetime.datetime(2008,3,3,0,0))
(
datetime.datetime(2008, 3, 3, 0, 0), None)

>>>
v(datetime.datetime(2010,3,3,0,0))
(
datetime.datetime(2010, 3, 3, 0, 0), 'oops')



Attributes


IS_DATETIME_IN_RANGE.__call__ <type 'instancemethod'> belongs to class <type 'instancemethod'>

IS_DATETIME_IN_RANGE.__class__ <type 'type'> extends (<type 'object'>,) belongs to class <type 'type'>
type(object) -> the object's type type(name, bases, dict) -> a new type

IS_DATETIME_IN_RANGE.__delattr__ <type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'>
x.__delattr__('name') <==> del x.name

IS_DATETIME_IN_RANGE.__dict__ <type 'dictproxy'> belongs to class <type 'dictproxy'>

IS_DATETIME_IN_RANGE.__doc__ <type 'str'> belongs to class <type 'str'>
str(object='') -> string Return a nice string representation of the object. If the argument is a string, the return value is the same object.

IS_DATETIME_IN_RANGE.__format__ <type 'method_descriptor'> belongs to class <type 'method_descriptor'>
default object formatter

IS_DATETIME_IN_RANGE.__getattribute__ <type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'>
x.__getattribute__('name') <==> x.name

IS_DATETIME_IN_RANGE.__hash__ <type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'>
x.__hash__() <==> hash(x)

IS_DATETIME_IN_RANGE.__init__ <type 'instancemethod'> belongs to class <type 'instancemethod'>

IS_DATETIME_IN_RANGE.__module__ <type 'str'> belongs to class <type 'str'>
str(object='') -> string Return a nice string representation of the object. If the argument is a string, the return value is the same object.

IS_DATETIME_IN_RANGE.__new__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>
T.__new__(S, ...) -> a new object with type S, a subtype of T

IS_DATETIME_IN_RANGE.__reduce__ <type 'method_descriptor'> belongs to class <type 'method_descriptor'>
helper for pickle

IS_DATETIME_IN_RANGE.__reduce_ex__ <type 'method_descriptor'> belongs to class <type 'method_descriptor'>
helper for pickle

IS_DATETIME_IN_RANGE.__repr__ <type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'>
x.__repr__() <==> repr(x)

IS_DATETIME_IN_RANGE.__setattr__ <type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'>
x.__setattr__('name', value) <==> x.name = value

IS_DATETIME_IN_RANGE.__sizeof__ <type 'method_descriptor'> belongs to class <type 'method_descriptor'>
__sizeof__() -> int size of object in memory, in bytes

IS_DATETIME_IN_RANGE.__str__ <type 'wrapper_descriptor'> belongs to class <type 'wrapper_descriptor'>
x.__str__() <==> str(x)

IS_DATETIME_IN_RANGE.__subclasshook__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>
Abstract classes can override this to customize issubclass(). This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).

IS_DATETIME_IN_RANGE.__weakref__ <type 'getset_descriptor'> belongs to class <type 'getset_descriptor'>
list of weak references to the object (if defined)

IS_DATETIME_IN_RANGE.formatter <type 'instancemethod'> belongs to class <type 'instancemethod'>

IS_DATETIME_IN_RANGE.isodatetime <type 'str'> belongs to class <type 'str'>
str(object='') -> string Return a nice string representation of the object. If the argument is a string, the return value is the same object.

IS_DATETIME_IN_RANGE.nice <type 'function'> belongs to class <type 'function'>