Docs for LABEL

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Description


<type 'tuple'>


tuple() -> empty tuple tuple(iterable) -> tuple initialized from iterable's items

If the argument is a tuple, the return value is the same object.



Attributes


LABEL.__add__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__add__(y) <==> x+y


LABEL.__class__ <type 'type'> extends (<type 'object'>,) belongs to class <type 'type'>

tuple() -> empty tuple tuple(iterable) -> tuple initialized from iterable's items

If the argument is a tuple, the return value is the same object.


LABEL.__contains__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__contains__(y) <==> y in x


LABEL.__delattr__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__delattr__('name') <==> del x.name


LABEL.__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.


LABEL.__eq__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__eq__(y) <==> x==y


LABEL.__format__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

default object formatter


LABEL.__ge__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__ge__(y) <==> x>=y


LABEL.__getattribute__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__getattribute__('name') <==> x.name


LABEL.__getitem__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__getitem__(y) <==> x[y]


LABEL.__getnewargs__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

LABEL.__getslice__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__getslice__(i, j) <==> x[i:j]

Use of negative indices is not supported.


LABEL.__gt__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__gt__(y) <==> x>y


LABEL.__hash__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__hash__() <==> hash(x)


LABEL.__init__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__init__(...) initializes x; see help(type(x)) for signature


LABEL.__iter__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__iter__() <==> iter(x)


LABEL.__le__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__le__(y) <==> x<=y


LABEL.__len__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__len__() <==> len(x)


LABEL.__lt__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__lt__(y) <==> x<y


LABEL.__mul__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__mul__(n) <==> x*n


LABEL.__ne__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__ne__(y) <==> x!=y


LABEL.__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


LABEL.__reduce__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

helper for pickle


LABEL.__reduce_ex__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

helper for pickle


LABEL.__repr__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__repr__() <==> repr(x)


LABEL.__rmul__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__rmul__(n) <==> n*x


LABEL.__setattr__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__setattr__('name', value) <==> x.name = value


LABEL.__sizeof__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

T.__sizeof__() -- size of T in memory, in bytes


LABEL.__str__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>

x.__str__() <==> str(x)


LABEL.__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).


LABEL.count <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

T.count(value) -> integer -- return number of occurrences of value


LABEL.index <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>

T.index(value, [start, [stop]]) -> integer -- return first index of value. Raises ValueError if the value is not present.