Docs for TR.add_class.__func__

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Description


<type 'function'>


 add a class to _class attribute 


Attributes


TR.add_class.__func__.__call__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>
x.__call__(...) <==> x(...)

TR.add_class.__func__.__class__ <type 'type'> extends (<type 'object'>,) belongs to class <type 'type'>
function(code, globals[, name[, argdefs[, closure]]]) Create a function object from a code object and a dictionary. The optional name string overrides the name from the code object. The optional argdefs tuple specifies the default argument values. The optional closure tuple supplies the bindings for free variables.

TR.add_class.__func__.__closure__ <type 'NoneType'> belongs to class <type 'NoneType'>

TR.add_class.__func__.__code__ <type 'code'> belongs to class <type 'code'>
code(argcount, nlocals, stacksize, flags, codestring, constants, names, varnames, filename, name, firstlineno, lnotab[, freevars[, cellvars]]) Create a code object. Not for the faint of heart.

TR.add_class.__func__.__defaults__ <type 'NoneType'> belongs to class <type 'NoneType'>

TR.add_class.__func__.__delattr__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>
x.__delattr__('name') <==> del x.name

TR.add_class.__func__.__dict__ <type 'dict'> belongs to class <type 'dict'>
dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

TR.add_class.__func__.__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.

TR.add_class.__func__.__format__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>
default object formatter

TR.add_class.__func__.__get__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>
descr.__get__(obj[, type]) -> value

TR.add_class.__func__.__getattribute__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>
x.__getattribute__('name') <==> x.name

TR.add_class.__func__.__globals__ <type 'dict'> belongs to class <type 'dict'>
dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

TR.add_class.__func__.__hash__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>
x.__hash__() <==> hash(x)

TR.add_class.__func__.__init__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>
x.__init__(...) initializes x; see help(type(x)) for signature

TR.add_class.__func__.__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.

TR.add_class.__func__.__name__ <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.

TR.add_class.__func__.__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

TR.add_class.__func__.__reduce__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>
helper for pickle

TR.add_class.__func__.__reduce_ex__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>
helper for pickle

TR.add_class.__func__.__repr__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>
x.__repr__() <==> repr(x)

TR.add_class.__func__.__setattr__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>
x.__setattr__('name', value) <==> x.name = value

TR.add_class.__func__.__sizeof__ <type 'builtin_function_or_method'> belongs to class <type 'builtin_function_or_method'>
__sizeof__() -> int size of object in memory, in bytes

TR.add_class.__func__.__str__ <type 'method-wrapper'> belongs to class <type 'method-wrapper'>
x.__str__() <==> str(x)

TR.add_class.__func__.__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).

TR.add_class.__func__.func_closure <type 'NoneType'> belongs to class <type 'NoneType'>

TR.add_class.__func__.func_code <type 'code'> belongs to class <type 'code'>
code(argcount, nlocals, stacksize, flags, codestring, constants, names, varnames, filename, name, firstlineno, lnotab[, freevars[, cellvars]]) Create a code object. Not for the faint of heart.

TR.add_class.__func__.func_defaults <type 'NoneType'> belongs to class <type 'NoneType'>

TR.add_class.__func__.func_dict <type 'dict'> belongs to class <type 'dict'>
dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

TR.add_class.__func__.func_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.

TR.add_class.__func__.func_globals <type 'dict'> belongs to class <type 'dict'>
dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2)

TR.add_class.__func__.func_name <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.