Python types.FunctionType() Examples

def _make_skel_func(code, cell_count, base_globals=None):
    """ Creates a skeleton function object that contains just the provided
        code and the correct number of cells in func_closure.  All other
        func attributes (e.g. func_globals) are empty.
    """
    # This is backward-compatibility code: for cloudpickle versions between
    # 0.5.4 and 0.7, base_globals could be a string or None. base_globals
    # should now always be a dictionary.
    if base_globals is None or isinstance(base_globals, str):
        base_globals = {}

    base_globals['__builtins__'] = __builtins__

    closure = (
        tuple(_make_empty_cell() for _ in range(cell_count))
        if cell_count >= 0 else
        None
    )
    return types.FunctionType(code, base_globals, None, None, closure) 

def __new__(mcs, name, bases, attrs):
    """Automatically wraps all methods of subclasses of RecipeApi with
    @infer_composite_step. This allows defer_results to work as intended without
    manually decorating every method.
    """
    wrap = lambda f: infer_composite_step(f) if f else f
    for attr in attrs:
      if attr in RecipeApiMeta.WHITELIST:
        continue
      val = attrs[attr]
      if isinstance(val, types.FunctionType):
        attrs[attr] = wrap(val)
      elif isinstance(val, property):
        attrs[attr] = property(
          wrap(val.fget),
          wrap(val.fset),
          wrap(val.fdel),
          val.__doc__)
    return super(RecipeApiMeta, mcs).__new__(mcs, name, bases, attrs) 

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

        # Sort all of the actions by line number
        p_functions.sort()
        self.pfuncs = p_functions


    # Validate all of the p_functions 

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 = 1
                return

            eline = func_code(self.error_func).co_firstlineno
            efile = func_code(self.error_func).co_filename
            module = inspect.getmodule(self.error_func)
            self.modules[module] = 1

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

    # Get the tokens map 

def call_base_class_method_with_same_name(obj):
    """
    Run base class method.

    :param obj: class object which methods will be decorated.
    :return: class object with decorated methods
    """
    if hasattr(obj, "__dict__"):
        if obj.__dict__.items():
            for attributeName in dir(obj):
                attribute = getattr(obj, attributeName)

                if "_decorate" in dir(attribute):
                    if isinstance(attribute, (FunctionType, MethodType)):
                        setattr(obj, attributeName, _wrapper(method=attribute, obj=obj))

    return obj 

def run_test(work_type: FunctionType, job_sets: Sequence, trials: int,
             pool_class: type, worker_count: int) -> Mapping:
    pool = pool_class(worker_count)
    if work_type == 'compute':
        test_func = pool.run_compute_test
    elif work_type == 'network':
        test_func = pool.run_network_test
    else:
        raise Exception("Invalid work type: {}".format(work_type))
    results = map(
        lambda jobs: test_func(jobs, trials, show_progress=True),
        tqdm(job_sets, desc=pool_class.__name__),
    )
    summarized_results = list(map(summarize_test, results))
    pool.destroy_pool()
    return summarized_results 

def _decorate(obj=None, check_steps_end=False):
        # check that decorated function is not statimethod or classmethod
        if not obj:
            raise ExecutionException("Decorator for 'staticmethod' or 'classmethod' not implemented yet.",
                                     )

        if hasattr(obj, "__dict__"):
            if obj.__dict__.items():
                for attributeName in dir(obj):
                    if attributeName == "_already_decorated":
                        break

                    attribute = getattr(obj, attributeName)

                    if not attributeName.startswith("_"):
                        if isinstance(attribute, (FunctionType, MethodType)):
                            setattr(obj, attributeName, MolerTest._wrapper(attribute, check_steps_end=check_steps_end))
            else:
                obj = MolerTest._wrapper(obj, check_steps_end=check_steps_end)
        else:
            raise ExecutionException("No '__dict__' in decorated object.")

        return obj 

def test_get_apimethods(self):
        """
        Tests that the function _get_apimethods
        appropriately gets apimethods and that they
        are class methods not _apiclassmethod instances.
        """
        class MyResource(ResourceBase):
            @apimethod(methods=['GET'])
            @apimethod(methods=['POST'])
            def fake1(cls):
                pass

            @apimethod(route='/hey', methods=['GET'])
            def fake2(self):
                pass

        names = []
        for name, clsmethod in _get_apimethods(MyResource):
            names.append(name)
            self.assertIsInstance(clsmethod, types.FunctionType)
        self.assertIn('fake1', names)
        self.assertIn('fake2', names)
        self.assertEqual(len(names), 2) 

def string_function(module: [str, ModuleType], func: str, *args, **kwargs):
    """根据字符串方法名来进行调用模块方法

    :param module: 模块名
    :param func: 模块中的方法名字
    :param args: 方法里面的参数值
    :param kwargs: 方法里面的参数值
    :return: 返回一个返回值
    """
    if isinstance(module, ModuleType):
        if hasattr(module, func):
            func_or_var = getattr(module, func)
            if isinstance(func_or_var, FunctionType):
                return func_or_var(*args, **kwargs)
            else:
                return func_or_var
        else:
            print(f'{func}不是一个方法')
    elif isinstance(module, str):
        m = __import__(module)
        return string_function(m, func, *args, **kwargs)
    else:
        print(f'{module}不是一个模块')
    return None 

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 = getattr(item, 'co_firstlineno', 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 always_seq(edge, reset):
    callinfo = _getCallInfo()
    sigargs = []
    if not isinstance(edge, _WaiterList):
        raise AlwaysSeqError(_error.EdgeType)
    edge.sig._read = True
    edge.sig._used = True
    sigargs.append(edge.sig)
    if reset is not None:
        if not isinstance(reset, ResetSignal):
            raise AlwaysSeqError(_error.ResetType)
        reset._read = True
        reset._used = True
        sigargs.append(reset)
    sigdict = _get_sigdict(sigargs, callinfo.symdict)

    def _always_seq_decorator(func):
        if not isinstance(func, FunctionType):
            raise AlwaysSeqError(_error.ArgType)
        if _isGenFunc(func):
            raise AlwaysSeqError(_error.ArgType)
        if func.__code__.co_argcount > 0:
            raise AlwaysSeqError(_error.NrOfArgs)
        return _AlwaysSeq(func, edge, reset, callinfo=callinfo, sigdict=sigdict)
    return _always_seq_decorator 

def always(*args):
    callinfo = _getCallInfo()
    sigargs = []
    for arg in args:
        if isinstance(arg, _Signal):
            arg._read = True
            arg._used = True
            sigargs.append(arg)
        elif isinstance(arg, _WaiterList):
            arg.sig._read = True
            arg.sig._used = True
            sigargs.append(arg.sig)
        elif not isinstance(arg, delay):
            raise AlwaysError(_error.DecArgType)
    sigdict = _get_sigdict(sigargs, callinfo.symdict)

    def _always_decorator(func):
        if not isinstance(func, FunctionType):
            raise AlwaysError(_error.ArgType)
        if _isGenFunc(func):
            raise AlwaysError(_error.ArgType)
        if func.__code__.co_argcount > 0:
            raise AlwaysError(_error.NrOfArgs)
        return _Always(func, args, callinfo=callinfo, sigdict=sigdict)
    return _always_decorator 

def save_pypy_builtin_func(self, obj):
        """Save pypy equivalent of builtin functions.

        PyPy does not have the concept of builtin-functions. Instead,
        builtin-functions are simple function instances, but with a
        builtin-code attribute.
        Most of the time, builtin functions should be pickled by attribute. But
        PyPy has flaky support for __qualname__, so some builtin functions such
        as float.__new__ will be classified as dynamic. For this reason only,
        we created this special routine. Because builtin-functions are not
        expected to have closure or globals, there is no additional hack
        (compared the one already implemented in pickle) to protect ourselves
        from reference cycles. A simple (reconstructor, newargs, obj.__dict__)
        tuple is save_reduced.

        Note also that PyPy improved their support for __qualname__ in v3.6, so
        this routing should be removed when cloudpickle supports only PyPy 3.6
        and later.
        """
        rv = (types.FunctionType, (obj.__code__, {}, obj.__name__,
                                   obj.__defaults__, obj.__closure__),
              obj.__dict__)
        self.save_reduce(*rv, obj=obj) 

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 with_temp_path(filename=None):
    """Decorator version of ``IOBase.temp_path``"""
    arg_fn = None
    if isinstance(filename, types.FunctionType):
        # Decorator was used without calling, so `filename' is actually the decorated function
        arg_fn = filename
        filename = None

    def decorator(fn):
        @functools.wraps(fn)
        def inner(self, *args, **kwargs):
            with self.temp_path(filename) as tmp_path:
                return fn(self, tmp_path, *args, **kwargs)
        return inner
    if arg_fn is not None:
        return decorator(arg_fn)
    else:
        return decorator 

def getCommands(cls):
        excludes = [
            'opened',
            'closed',
            'received_message',
            'exec_command',
            'getCommands'
        ]
        out = []
        m = [x for x, y in cls.__dict__.items() if type(y) == FunctionType]
        for method in m:
            if method.startswith("_" + cls.__name__):
                continue
            if method in excludes:
                continue
            if method.startswith("__"):
                continue
            out.append(method)
        out.sort()
        return out 

def get_module_functions(modules):
  """Finds functions that do not have implemented derivatives.

  Args:
    modules: A list of Python modules. Functions contained in these modules
        will be checked for membership in 'implemented', and if not found,
        will be added to an 'unimplemented' set
    implemented: A Python object containing implemented derivatives. A function
        should be checkable for membership using the `fn in implemented` syntax.

  Returns:
    module_fns: A set of functions, builtins or ufuncs in `modules`.
  """
  module_fns = set()
  for module in modules:
    for key in dir(module):
      attr = getattr(module, key)
      if isinstance(
          attr, (types.BuiltinFunctionType, types.FunctionType, numpy.ufunc)):
        module_fns.add(attr)
  return module_fns 

def func_info(fn: types.FunctionType):
    return lambda vm: vm.code_info(fn) 

def jit(self, f: FunctionType):
        func_info = self.get_func_info(f)
        code_info = func_info.r_codeinfo
        fn_place = self.allocate_place_for_function(code_info)
        fn_place.globals_from(func_info.r_globals)
        CodeEmit(self, code_info, fn_place)
        f = fn_place.function_module.f
        self.fn_place_index[id(f)] = fn_place
        return f 

def __init__(self, *args, **kwargs):
        # the last thing we do is go through all of our methods and ensure that all `_callable_args` in our methods are replaced with nodes
        for meth in dir(self):
            meth = getattr(self, meth)
            if hasattr(meth, '_node_wrapper'):
                node = meth._node_wrapper
                if node is None:
                    continue

                # modify in place in case used elsewhere
                for i, arg in enumerate(node._callable_args):
                    if not isinstance(arg, Node):
                        replace = getattr(self, arg)
                        if not isinstance(replace, Node) and (isinstance(replace, types.FunctionType) or isinstance(replace, types.MethodType)):
                            # call function to get node
                            replace = replace()
                        node._callable_args[i] = replace

                # modify in place in case used elsewhere
                for k, arg in node._callable_kwargs.items():
                    if not isinstance(arg, Node):
                        replace = getattr(self, arg)
                        if not isinstance(replace, Node) and (isinstance(replace, types.FunctionType) or isinstance(replace, types.MethodType)):
                            # call function to get node
                            replace = replace()
                        node._callable_kwargs[k] = replace 

def __deepcopy__(self, memo):
        retVal = self.__class__()
        memo[id(self)] = retVal

        for attr in dir(self):
            if not attr.startswith('_'):
                value = getattr(self, attr)
                if not isinstance(value, (types.BuiltinFunctionType, types.FunctionType, types.MethodType)):
                    setattr(retVal, attr, copy.deepcopy(value, memo))

        for key, value in self.items():
            retVal.__setitem__(key, copy.deepcopy(value, memo))

        return retVal 

def _form_master_re(relist, reflags, ldict, toknames):
    if not relist:
        return []
    regex = '|'.join(relist)
    try:
        lexre = re.compile(regex, reflags)

        # Build the index to function map for the matching engine
        lexindexfunc = [None] * (max(lexre.groupindex.values()) + 1)
        lexindexnames = lexindexfunc[:]

        for f, i in lexre.groupindex.items():
            handle = ldict.get(f, None)
            if type(handle) in (types.FunctionType, types.MethodType):
                lexindexfunc[i] = (handle, toknames[f])
                lexindexnames[i] = f
            elif handle is not None:
                lexindexnames[i] = f
                if f.find('ignore_') > 0:
                    lexindexfunc[i] = (None, None)
                else:
                    lexindexfunc[i] = (None, toknames[f])

        return [(lexre, lexindexfunc)], [regex], [lexindexnames]
    except Exception:
        m = int(len(relist)/2)
        if m == 0:
            m = 1
        llist, lre, lnames = _form_master_re(relist[:m], reflags, ldict, toknames)
        rlist, rre, rnames = _form_master_re(relist[m:], reflags, ldict, toknames)
        return (llist+rlist), (lre+rre), (lnames+rnames)

# -----------------------------------------------------------------------------
# def _statetoken(s,names)
#
# Given a declaration name s of the form "t_" and a dictionary whose keys are
# state names, this function returns a tuple (states,tokenname) where states
# is a tuple of state names and tokenname is the name of the token.  For example,
# calling this with s = "t_foo_bar_SPAM" might return (('foo','bar'),'SPAM')
# ----------------------------------------------------------------------------- 

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 test_staticmethod2():
    assert isinstance(Kid2.static, FunctionType)
    assert getdoc(Kid2.static) == "valid" 

def test_staticmethod():
    assert isinstance(Kid().static, FunctionType)
    assert getdoc(Kid.static) == "valid" 

def test_staticmethod():
    assert isinstance(Kid.static, FunctionType)
    assert getdoc(Kid.static) == "valid" 

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 isfunction(object):
    """Return true if the object is a user-defined function.

    Function objects provide these attributes:
        __doc__         documentation string
        __name__        name with which this function was defined
        func_code       code object containing compiled function bytecode
        func_defaults   tuple of any default values for arguments
        func_doc        (same as __doc__)
        func_globals    global namespace in which this function was defined
        func_name       (same as __name__)

    """
    return isinstance(object, types.FunctionType) 

def method_decorator_metaclass(function):
    class Decorated(type):
        def __new__(meta, classname, bases, classDict):
            for attributeName, attribute in classDict.items():
                if isinstance(attribute, types.FunctionType):
                    attribute = function(attribute)

                classDict[attributeName] = attribute
            return type.__new__(meta, classname, bases, classDict)
    return Decorated 

def _form_master_re(relist, reflags, ldict, toknames):
    if not relist:
        return []
    regex = '|'.join(relist)
    try:
        lexre = re.compile(regex, reflags)

        # Build the index to function map for the matching engine
        lexindexfunc = [None] * (max(lexre.groupindex.values()) + 1)
        lexindexnames = lexindexfunc[:]

        for f, i in lexre.groupindex.items():
            handle = ldict.get(f, None)
            if type(handle) in (types.FunctionType, types.MethodType):
                lexindexfunc[i] = (handle, toknames[f])
                lexindexnames[i] = f
            elif handle is not None:
                lexindexnames[i] = f
                if f.find('ignore_') > 0:
                    lexindexfunc[i] = (None, None)
                else:
                    lexindexfunc[i] = (None, toknames[f])

        return [(lexre, lexindexfunc)], [regex], [lexindexnames]
    except Exception:
        m = int(len(relist)/2)
        if m == 0:
            m = 1
        llist, lre, lnames = _form_master_re(relist[:m], reflags, ldict, toknames)
        rlist, rre, rnames = _form_master_re(relist[m:], reflags, ldict, toknames)
        return (llist+rlist), (lre+rre), (lnames+rnames)

# -----------------------------------------------------------------------------
# def _statetoken(s,names)
#
# Given a declaration name s of the form "t_" and a dictionary whose keys are
# state names, this function returns a tuple (states,tokenname) where states
# is a tuple of state names and tokenname is the name of the token.  For example,
# calling this with s = "t_foo_bar_SPAM" might return (('foo','bar'),'SPAM')
# -----------------------------------------------------------------------------