Python types.MethodType() Examples

def test_im_func_non_method(self):
        # Behavior should be the same when a method is added via an attr
        # assignment
        self.f.id = types.MethodType(id, None, self.f)
        self.assertEqual(self.fi.id(), id(self.fi))
        self.assertNotEqual(self.fi.id(), id(self.f))
        # Test usage
        try:
            self.f.id.unknown_attr
        except AttributeError:
            pass
        else:
            self.fail("using unknown attributes should raise AttributeError")
        # Test assignment and deletion
        self.cannot_set_attr(self.f.id, 'unknown_attr', 2, AttributeError)
        self.cannot_set_attr(self.fi.id, 'unknown_attr', 2, AttributeError) 

def test_builtins(self):
        # 2.7 puts '()\n' where 3.x does not, other minor differences

        # Python class that inherits builtin methods
        class List(list): "List() doc"
        # Simulate builtin with no docstring for default argspec test
        class SB:  __call__ = None

        def gtest(obj, out):
            self.assertEqual(signature(obj), out)

        gtest(List, '()\n' + List.__doc__)
        gtest(list.__new__,
               'T.__new__(S, ...) -> a new object with type S, a subtype of T')
        gtest(list.__init__,
               'x.__init__(...) initializes x; see help(type(x)) for signature')
        append_doc =  "L.append(object) -- append object to end"
        gtest(list.append, append_doc)
        gtest([].append, append_doc)
        gtest(List.append, append_doc)

        gtest(types.MethodType, '()\ninstancemethod(function, instance, class)')
        gtest(SB(), default_tip) 

def create_file_logger(root, name, file_name="log.txt", timestamp_format="", debug=False):
    file_api = FileAPI(root)
    timestamp = ""
    if timestamp_format:
        timestamp = datetime.now().strftime(timestamp_format)
    else:
        timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")

    folder = name + "_" + timestamp
    # prepare folder and file
    with file_api.open_with_mkdir(folder + "/" + file_name) as f:
        f.write("".encode("utf-8"))

    log_root = os.path.join(root, folder)
    logger = create_logger(name, debug)
    fh = FileHandler(os.path.join(log_root, file_name), encoding="utf-8")
    fh.setLevel(_bool_2_level(debug))
    logger.addHandler(fh)

    # add close method to release resource
    logger.close = types.MethodType(__close, logger)
    return logger, log_root 

def __init__(self, environment, parent, name, blocks):
        self.parent = parent
        self.vars = {}
        self.environment = environment
        self.eval_ctx = EvalContext(self.environment, name)
        self.exported_vars = set()
        self.name = name

        # create the initial mapping of blocks.  Whenever template inheritance
        # takes place the runtime will update this mapping with the new blocks
        # from the template.
        self.blocks = dict((k, [v]) for k, v in iteritems(blocks))

        # In case we detect the fast resolve mode we can set up an alias
        # here that bypasses the legacy code logic.
        if self._fast_resolve_mode:
            self.resolve_or_missing = MethodType(resolve_or_missing, self) 

def __init__(self):
            cache = {}
            self.not_in_cache = not_in_cache = object()

            def get(self, key):
                return cache.get(key, not_in_cache)

            def set(self, key, value):
                cache[key] = value

            def clear(self):
                cache.clear()

            self.get = types.MethodType(get, self)
            self.set = types.MethodType(set, self)
            self.clear = types.MethodType(clear, self) 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = _OrderedDict()

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    if len(cache) > size:
                        cache.popitem(False)

                def clear(self):
                    cache.clear()

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self) 

def __init__(self):
            cache = {}
            self.not_in_cache = not_in_cache = object()

            def get(self, key):
                return cache.get(key, not_in_cache)

            def set(self, key, value):
                cache[key] = value

            def clear(self):
                cache.clear()
                
            def cache_len(self):
                return len(cache)

            self.get = types.MethodType(get, self)
            self.set = types.MethodType(set, self)
            self.clear = types.MethodType(clear, self)
            self.__len__ = types.MethodType(cache_len, self) 

def __init__(self):
            cache = {}
            self.not_in_cache = not_in_cache = object()

            def get(self, key):
                return cache.get(key, not_in_cache)

            def set(self, key, value):
                cache[key] = value

            def clear(self):
                cache.clear()

            self.get = types.MethodType(get, self)
            self.set = types.MethodType(set, self)
            self.clear = types.MethodType(clear, self) 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = _OrderedDict()

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    if len(cache) > size:
                        cache.popitem(False)

                def clear(self):
                    cache.clear()

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self) 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = {}
                key_fifo = collections.deque([], size)

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    if len(cache) > size:
                        cache.pop(key_fifo.popleft(), None)
                    key_fifo.append(key)

                def clear(self):
                    cache.clear()
                    key_fifo.clear()

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self)

    # argument cache for optimizing repeated calls when backtracking through recursive expressions 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = _OrderedDict()

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    if len(cache) > size:
                        cache.popitem(False)

                def clear(self):
                    cache.clear()

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self) 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = {}
                key_fifo = collections.deque([], size)

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    if len(cache) > size:
                        cache.pop(key_fifo.popleft(), None)
                    key_fifo.append(key)

                def clear(self):
                    cache.clear()
                    key_fifo.clear()

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self)

    # argument cache for optimizing repeated calls when backtracking through recursive expressions 

def __init__(self):
            cache = {}
            self.not_in_cache = not_in_cache = object()

            def get(self, key):
                return cache.get(key, not_in_cache)

            def set(self, key, value):
                cache[key] = value

            def clear(self):
                cache.clear()
                
            def cache_len(self):
                return len(cache)

            self.get = types.MethodType(get, self)
            self.set = types.MethodType(set, self)
            self.clear = types.MethodType(clear, self)
            self.__len__ = types.MethodType(cache_len, self) 

def __init__(self):
            cache = {}
            self.not_in_cache = not_in_cache = object()

            def get(self, key):
                return cache.get(key, not_in_cache)

            def set(self, key, value):
                cache[key] = value

            def clear(self):
                cache.clear()
                
            def cache_len(self):
                return len(cache)

            self.get = types.MethodType(get, self)
            self.set = types.MethodType(set, self)
            self.clear = types.MethodType(clear, self)
            self.__len__ = types.MethodType(cache_len, self) 

def __init__(self):
            cache = {}
            self.not_in_cache = not_in_cache = object()

            def get(self, key):
                return cache.get(key, not_in_cache)

            def set(self, key, value):
                cache[key] = value

            def clear(self):
                cache.clear()

            self.get = types.MethodType(get, self)
            self.set = types.MethodType(set, self)
            self.clear = types.MethodType(clear, self) 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = _OrderedDict()

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    if len(cache) > size:
                        cache.popitem(False)

                def clear(self):
                    cache.clear()

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self) 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = {}
                key_fifo = collections.deque([], size)

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    if len(cache) > size:
                        cache.pop(key_fifo.popleft(), None)
                    key_fifo.append(key)

                def clear(self):
                    cache.clear()
                    key_fifo.clear()

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self)

    # argument cache for optimizing repeated calls when backtracking through recursive expressions 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = _OrderedDict()

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    if len(cache) > size:
                        cache.popitem(False)

                def clear(self):
                    cache.clear()

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self) 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = {}
                key_fifo = collections.deque([], size)

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    if len(cache) > size:
                        cache.pop(key_fifo.popleft(), None)
                    key_fifo.append(key)

                def clear(self):
                    cache.clear()
                    key_fifo.clear()

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self)

    # argument cache for optimizing repeated calls when backtracking through recursive expressions 

def validate_error_func(self):
        if self.error_func:
            if isinstance(self.error_func, types.FunctionType):
                ismethod = 0
            elif isinstance(self.error_func, types.MethodType):
                ismethod = 1
            else:
                self.log.error("'p_error' defined, but is not a function or method")
                self.error = True
                return

            eline = self.error_func.__code__.co_firstlineno
            efile = self.error_func.__code__.co_filename
            module = inspect.getmodule(self.error_func)
            self.modules.add(module)

            argcount = self.error_func.__code__.co_argcount - ismethod
            if argcount != 1:
                self.log.error('%s:%d: p_error() requires 1 argument', efile, eline)
                self.error = True

    # Get the tokens map 

def get_pfunctions(self):
        p_functions = []
        for name, item in self.pdict.items():
            if not name.startswith('p_') or name == 'p_error':
                continue
            if isinstance(item, (types.FunctionType, types.MethodType)):
                line = item.__code__.co_firstlineno
                module = inspect.getmodule(item)
                p_functions.append((line, module, name, item.__doc__))

        # Sort all of the actions by line number; make sure to stringify
        # modules to make them sortable, since `line` may not uniquely sort all
        # p functions
        p_functions.sort(key=lambda p_function: (
            p_function[0],
            str(p_function[1]),
            p_function[2],
            p_function[3]))
        self.pfuncs = p_functions

    # Validate all of the p_functions 

def draw(self, colors='state', cmap=None, graph_attr=None, node_attr=None, edge_attr=None, show_expansion=False):
        """
        Draw a computation's current state using the GraphViz utility

        :param graph_attr: Mapping of (attribute, value) pairs for the graph. For example ``graph_attr={'size': '"10,8"'}`` can control the size of the output graph
        :param node_attr: Mapping of (attribute, value) pairs set for all nodes.
        :param edge_attr: Mapping of (attribute, value) pairs set for all edges.
        :param show_expansion: Whether to show expansion nodes (i.e. named tuple expansion nodes) if they are not referenced by other nodes
        """
        d = self.to_pydot(colors=colors, cmap=cmap, graph_attr=graph_attr, node_attr=node_attr, edge_attr=edge_attr,
                          show_expansion=show_expansion)

        def repr_svg(self):
            return self.create_svg().decode('utf-8')

        d._repr_svg_ = types.MethodType(repr_svg, d)
        return d 

def __init__(self, locale=None, extensions=(), register_default=True,
                 errors='strict'):
        super(SmartFormatter, self).__init__(locale)
        # Set error action.
        try:
            _format_error = self._error_formatters[errors]
        except KeyError:
            raise LookupError('unknown error action name %s' % errors)
        self.format_error = MethodType(_format_error, self)
        if errors == 'skip':
            self.parse = self._parse_for_skip_error_action
        self.errors = errors
        # Currently implemented only formatter extensions.
        self._extensions = {}
        if register_default:
            self.register(default_extensions)
        self.register(extensions) 

def getmethparlist(ob):
    "Get strings describing the arguments for the given object"
    argText1 = argText2 = ""
    # bit of a hack for methods - turn it into a function
    # but we drop the "self" param.
    if type(ob)==types.MethodType:
        fob = ob.im_func
        argOffset = 1
    else:
        fob = ob
        argOffset = 0
    # Try and build one for Python defined functions
    if type(fob) in [types.FunctionType, types.LambdaType]:
        try:
            counter = fob.func_code.co_argcount
            items2 = list(fob.func_code.co_varnames[argOffset:counter])
            realArgs = fob.func_code.co_varnames[argOffset:counter]
            defaults = fob.func_defaults or []
            defaults = list(map(lambda name: "=%s" % repr(name), defaults))
            defaults = [""] * (len(realArgs)-len(defaults)) + defaults
            items1 = map(lambda arg, dflt: arg+dflt, realArgs, defaults)
            if fob.func_code.co_flags & 0x4:
                items1.append("*"+fob.func_code.co_varnames[counter])
                items2.append("*"+fob.func_code.co_varnames[counter])
                counter += 1
            if fob.func_code.co_flags & 0x8:
                items1.append("**"+fob.func_code.co_varnames[counter])
                items2.append("**"+fob.func_code.co_varnames[counter])
            argText1 = ", ".join(items1)
            argText1 = "(%s)" % argText1
            argText2 = ", ".join(items2)
            argText2 = "(%s)" % argText2
        except:
            pass
    return argText1, argText2 

def _randbelow(self, n, _log=_log, _int=int, _maxwidth=1L<<BPF,
                   _Method=_MethodType, _BuiltinMethod=_BuiltinMethodType): 

def ismethod(object):
    """Return true if the object is an instance method.

    Instance method objects provide these attributes:
        __doc__         documentation string
        __name__        name with which this method was defined
        im_class        class object in which this method belongs
        im_func         function object containing implementation of method
        im_self         instance to which this method is bound, or None"""
    return isinstance(object, types.MethodType) 

def test_recursions_2(self):
        # Bug #1202533.
        class A(object):
            pass
        A.__mul__ = types.MethodType(lambda self, x: self * x, None, A)
        try:
            A()*2
        except RuntimeError:
            pass
        else:
            self.fail("expected a RuntimeError") 

def inspect_format_method(callable):
    if not isinstance(callable, (types.MethodType,
                                 types.BuiltinMethodType)) or \
       callable.__name__ != 'format':
        return None
    obj = callable.__self__
    if isinstance(obj, string_types):
        return obj 

def is_internal_attribute(obj, attr):
    """Test if the attribute given is an internal python attribute.  For
    example this function returns `True` for the `func_code` attribute of
    python objects.  This is useful if the environment method
    :meth:`~SandboxedEnvironment.is_safe_attribute` is overridden.

    >>> from jinja2.sandbox import is_internal_attribute
    >>> is_internal_attribute(str, "mro")
    True
    >>> is_internal_attribute(str, "upper")
    False
    """
    if isinstance(obj, types.FunctionType):
        if attr in UNSAFE_FUNCTION_ATTRIBUTES:
            return True
    elif isinstance(obj, types.MethodType):
        if attr in UNSAFE_FUNCTION_ATTRIBUTES or \
           attr in UNSAFE_METHOD_ATTRIBUTES:
            return True
    elif isinstance(obj, type):
        if attr == 'mro':
            return True
    elif isinstance(obj, (types.CodeType, types.TracebackType, types.FrameType)):
        return True
    elif isinstance(obj, types.GeneratorType):
        if attr in UNSAFE_GENERATOR_ATTRIBUTES:
            return True
    elif hasattr(types, 'CoroutineType') and isinstance(obj, types.CoroutineType):
        if attr in UNSAFE_COROUTINE_ATTRIBUTES:
            return True
    elif hasattr(types, 'AsyncGeneratorType') and isinstance(obj, types.AsyncGeneratorType):
        if attr in UNSAFE_ASYNC_GENERATOR_ATTRIBUTES:
            return True
    return attr.startswith('__') 

def create_bound_method(func, obj):
        return types.MethodType(func, obj, obj.__class__) 

def create_unbound_method(func, cls):
        return types.MethodType(func, None, cls) 

def create_bound_method(func, obj):
        return types.MethodType(func, obj, obj.__class__) 

def create_unbound_method(func, cls):
        return types.MethodType(func, None, cls) 

def __init__(self, size):
                self.not_in_cache = not_in_cache = object()

                cache = {}
                key_fifo = collections.deque([], size)

                def get(self, key):
                    return cache.get(key, not_in_cache)

                def set(self, key, value):
                    cache[key] = value
                    while len(key_fifo) > size:
                        cache.pop(key_fifo.popleft(), None)
                    key_fifo.append(key)

                def clear(self):
                    cache.clear()
                    key_fifo.clear()

                def cache_len(self):
                    return len(cache)

                self.get = types.MethodType(get, self)
                self.set = types.MethodType(set, self)
                self.clear = types.MethodType(clear, self)
                self.__len__ = types.MethodType(cache_len, self)

    # argument cache for optimizing repeated calls when backtracking through recursive expressions 

def create_bound_method(func, obj):
        return types.MethodType(func, obj, obj.__class__) 

def create_unbound_method(func, cls):
        return types.MethodType(func, None, cls) 

def _wrap(self, func, args, kwargs):
        if isinstance(func, MethodType):
            result = self._handle_temporary_redirects(lambda: func(*args, **kwargs))
        else:
            result = self._handle_temporary_redirects(lambda: func(self.other, *args, **kwargs))
        return result 

def register_method(self, method):
        """To register an add-on method for existing classs instance.

        - method: a funciton defined as foo(self, ...)
        - return: True if successfully regitered the add-on.
        """
        if method.__name__ in self.__dict__:
            self.print_error('Method %s is already exist in object %s.' % (method.__name__, self))
            return False
        self.__dict__[method.__name__] = types.MethodType(method, self)
        return True 

def register_method(self, method):
        """To register an add-on method for existing classs instance.

        - method: a funciton defined as foo(self, ...)
        - return: True if successfully regitered the add-on.
        """
        if method.__name__ in self.__dict__:
            self.print_error('Method %s is already exist in object %s.' % (method.__name__, self))
            return False
        self.__dict__[method.__name__] = types.MethodType(method, self)
        return True 

def __init__(self, target, identifier,
                 fn, dispatch_target, _fn_wrap=None):
        self.target = target
        self.identifier = identifier
        self.fn = fn
        if isinstance(fn, types.MethodType):
            self.fn_key = id(fn.__func__), id(fn.__self__)
        else:
            self.fn_key = id(fn)
        self.fn_wrap = _fn_wrap
        self.dispatch_target = dispatch_target 

def unbound_method_to_callable(func_or_cls):
    """Adjust the incoming callable such that a 'self' argument is not
    required.

    """

    if isinstance(func_or_cls, types.MethodType) and not func_or_cls.__self__:
        return func_or_cls.__func__
    else:
        return func_or_cls 

def create_bound_method(func, obj):
        return types.MethodType(func, obj, obj.__class__) 

def create_bound_method(func, obj):
        return types.MethodType(func, obj, obj.__class__) 

def create_bound_method(func, obj):
        return types.MethodType(func, obj, obj.__class__) 

def set_method(obj, method, method_name=None):
    if method_name is None:
        method_name = method.__name__

    if not hasattr(obj, method_name):
        setattr(obj, method_name, MethodType(method, obj)) 

def _init(obj, name):
    if hasattr(obj, '__model_base__'):
        name = name.replace('Model', '')
        key = obj.__key__ = getattr(obj, '__key__', _camel_case_convert(name))

        if key in _all_models:
            raise SwaggerItModelError("The model '{}' was already registered with name '{}'."
                .format(_all_models[key].__name__, key))

        _all_models[key] = obj

    set_logger(obj)
    obj.get_model = MethodType(_get_model, obj)
    obj._unpack_obj = MethodType(_unpack_obj, obj)
    obj._pack_obj = MethodType(_pack_obj, obj) 

def create_bound_method(func, obj):
        return types.MethodType(func, obj, obj.__class__) 

def create_unbound_method(func, cls):
        return types.MethodType(func, None, cls) 

def run(sm):
    import smach
    with sm:
        raw_user_states = copy.deepcopy(sm._states)

        # redirect all NeedRecovery to their respective anomay diagnosis
        for user_state in raw_user_states:
            obj = sm._states[user_state]
            obj.execute = types.MethodType(introspection_execute.execute, obj)
            obj._outcomes.add("Revert") 

            state_name = user_state 
            state_transitions = sm._transitions[state_name]
            state_transitions["Revert"] = RollBackRecovery.__name__ 

        # build Recovery states automatically
        recovery_outcomes = ['RecoveryFailed']
        recovery_state_transitions = {
            'RecoveryFailed': 'TaskFailed'
        }
        for user_state in raw_user_states:
            state_name = user_state 
            recovery_outcomes.append('Reenter_'+state_name)
            recovery_state_transitions['Reenter_'+state_name] = state_name

        smach.StateMachine.add(
			RollBackRecovery.__name__,
			RollBackRecovery(outcomes=recovery_outcomes),
            transitions=recovery_state_transitions
        )

    return sm 

def addWorkflowTask(self, label, workflowRunnerInstance, dependencies=None):
        '''
        We inject a docker-aware addTask function into subworkflows.
        '''
        workflowRunnerInstance.addTask = types.MethodType(partial(subworkflow_addTask, self.current_stage_setup, self.params), workflowRunnerInstance)
        return WorkflowRunner.addWorkflowTask(self, label, workflowRunnerInstance, dependencies=dependencies)