Docs for INPUT
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
INPUT.__add__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__add__(y) <==> x+y |
INPUT.__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. |
INPUT.__contains__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__contains__(y) <==> y in x |
INPUT.__delattr__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__delattr__('name') <==> del x.name |
INPUT.__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. |
INPUT.__eq__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__eq__(y) <==> x==y |
INPUT.__format__ |
<type 'builtin_function_or_method'>
belongs to class <type 'builtin_function_or_method'>
default object formatter |
INPUT.__ge__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__ge__(y) <==> x>=y |
INPUT.__getattribute__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__getattribute__('name') <==> x.name |
INPUT.__getitem__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__getitem__(y) <==> x[y] |
INPUT.__getnewargs__ |
<type 'builtin_function_or_method'>
belongs to class <type 'builtin_function_or_method'>
|
INPUT.__getslice__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__getslice__(i, j) <==> x[i:j] Use of negative indices is not supported. |
INPUT.__gt__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__gt__(y) <==> x>y |
INPUT.__hash__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__hash__() <==> hash(x) |
INPUT.__init__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__init__(...) initializes x; see help(type(x)) for signature |
INPUT.__iter__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__iter__() <==> iter(x) |
INPUT.__le__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__le__(y) <==> x<=y |
INPUT.__len__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__len__() <==> len(x) |
INPUT.__lt__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__lt__(y) <==> x<y |
INPUT.__mul__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__mul__(n) <==> x*n |
INPUT.__ne__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__ne__(y) <==> x!=y |
INPUT.__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 |
INPUT.__reduce__ |
<type 'builtin_function_or_method'>
belongs to class <type 'builtin_function_or_method'>
helper for pickle |
INPUT.__reduce_ex__ |
<type 'builtin_function_or_method'>
belongs to class <type 'builtin_function_or_method'>
helper for pickle |
INPUT.__repr__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__repr__() <==> repr(x) |
INPUT.__rmul__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__rmul__(n) <==> n*x |
INPUT.__setattr__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__setattr__('name', value) <==> x.name = value |
INPUT.__sizeof__ |
<type 'builtin_function_or_method'>
belongs to class <type 'builtin_function_or_method'>
T.__sizeof__() -- size of T in memory, in bytes |
INPUT.__str__ |
<type 'method-wrapper'>
belongs to class <type 'method-wrapper'>
x.__str__() <==> str(x) |
INPUT.__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). |
INPUT.count |
<type 'builtin_function_or_method'>
belongs to class <type 'builtin_function_or_method'>
T.count(value) -> integer -- return number of occurrences of value |
INPUT.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. |