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from __future__ import absolute_import, division, print_function

import platform
import sys
import types
import warnings


PY2 = sys.version_info[0] == 2
PYPY = platform.python_implementation() == "PyPy"


if PYPY or sys.version_info[:2] >= (3, 6):
    ordered_dict = dict
else:
    from collections import OrderedDict

    ordered_dict = OrderedDict


if PY2:
    from collections import Mapping, Sequence 

    from UserDict import IterableUserDict

    # We 'bundle' isclass instead of using inspect as importing inspect is
    # fairly expensive (order of 10-15 ms for a modern machine in 2016)
    def isclass(klass):
        return isinstance(klass, (type, types.ClassType))

    def new_class(name, bases, kwds, exec_body):
        """
        A minimal stub of types.new_class that we need for make_class.
        """
        ns = {}
        exec_body(ns)

        return type(name, bases, ns)

    # TYPE is used in exceptions, repr(int) is different on Python 2 and 3.
    TYPE = "type"

    def iteritems(d):
        return d.iteritems()

    # Python 2 is bereft of a read-only dict proxy, so we make one!
    class ReadOnlyDict(IterableUserDict):
        """
        Best-effort read-only dict wrapper.
        """

        def __setitem__(self, key, val):
            # We gently pretend we're a Python 3 mappingproxy.
            raise TypeError(
                "'mappingproxy' object does not support item assignment"
            )

        def update(self, _):
            # We gently pretend we're a Python 3 mappingproxy.
            raise AttributeError(
                "'mappingproxy' object has no attribute 'update'"
            )

        def __delitem__(self, _):
            # We gently pretend we're a Python 3 mappingproxy.
            raise TypeError(
                "'mappingproxy' object does not support item deletion"
            )

        def clear(self):
            # We gently pretend we're a Python 3 mappingproxy.
            raise AttributeError(
                "'mappingproxy' object has no attribute 'clear'"
            )

        def pop(self, key, default=None):
            # We gently pretend we're a Python 3 mappingproxy.
            raise AttributeError(
                "'mappingproxy' object has no attribute 'pop'"
            )

        def popitem(self):
            # We gently pretend we're a Python 3 mappingproxy.
            raise AttributeError(
                "'mappingproxy' object has no attribute 'popitem'"
            )

        def setdefault(self, key, default=None):
            # We gently pretend we're a Python 3 mappingproxy.
            raise AttributeError(
                "'mappingproxy' object has no attribute 'setdefault'"
            )

        def __repr__(self):
            # Override to be identical to the Python 3 version.
            return "mappingproxy(" + repr(self.data) + ")"

    def metadata_proxy(d):
        res = ReadOnlyDict()
        res.data.update(d)  # We blocked update, so we have to do it like this.
        return res

    def just_warn(*args, **kw):  # pragma: no cover
        """
        We only warn on Python 3 because we are not aware of any concrete
        consequences of not setting the cell on Python 2.
        """


else:  # Python 3 and later.
    from collections.abc import Mapping, Sequence  # noqa

    def just_warn(*args, **kw):
        """
        We only warn on Python 3 because we are not aware of any concrete
        consequences of not setting the cell on Python 2.
        """
        warnings.warn(
            "Running interpreter doesn't sufficiently support code object " 
            "introspection.  Some features like bare super() or accessing " 
            "__class__ will not work with slotted classes.",
            RuntimeWarning,
            stacklevel=2,
        )

    def isclass(klass):
        return isinstance(klass, type)

    TYPE = "class"

    def iteritems(d):
        return d.items()

    new_class = types.new_class

    def metadata_proxy(d):
        return types.MappingProxyType(dict(d))


def make_set_closure_cell():
    """Return a function of two arguments (cell, value) which sets 
    the value stored in the closure cell `cell` to `value`. 
    """
    # pypy makes this easy. (It also supports the logic below, but 
    # why not do the easy/fast thing?) 
    if PYPY:

        def set_closure_cell(cell, value):
            cell.__setstate__((value,))

        return set_closure_cell 
 
    # Otherwise gotta do it the hard way. 
 
    # Create a function that will set its first cellvar to `value`. 
    def set_first_cellvar_to(value): 
        x = value 
        return 
 
        # This function will be eliminated as dead code, but 
        # not before its reference to `x` forces `x` to be 
        # represented as a closure cell rather than a local. 
        def force_x_to_be_a_cell():  # pragma: no cover 
            return x 
 
    try: 
        # Extract the code object and make sure our assumptions about 
        # the closure behavior are correct. 
        if PY2: 
            co = set_first_cellvar_to.func_code 
        else: 
            co = set_first_cellvar_to.__code__ 
        if co.co_cellvars != ("x",) or co.co_freevars != (): 
            raise AssertionError  # pragma: no cover 
 
        # Convert this code object to a code object that sets the 
        # function's first _freevar_ (not cellvar) to the argument. 
        if sys.version_info >= (3, 8): 
            # CPython 3.8+ has an incompatible CodeType signature 
            # (added a posonlyargcount argument) but also added 
            # CodeType.replace() to do this without counting parameters. 
            set_first_freevar_code = co.replace( 
                co_cellvars=co.co_freevars, co_freevars=co.co_cellvars 
            ) 
        else: 
            args = [co.co_argcount] 
            if not PY2: 
                args.append(co.co_kwonlyargcount) 
            args.extend( 
                [ 
                    co.co_nlocals, 
                    co.co_stacksize, 
                    co.co_flags, 
                    co.co_code, 
                    co.co_consts, 
                    co.co_names, 
                    co.co_varnames, 
                    co.co_filename, 
                    co.co_name, 
                    co.co_firstlineno, 
                    co.co_lnotab, 
                    # These two arguments are reversed: 
                    co.co_cellvars, 
                    co.co_freevars, 
                ] 
            ) 
            set_first_freevar_code = types.CodeType(*args) 
 
        def set_closure_cell(cell, value): 
            # Create a function using the set_first_freevar_code, 
            # whose first closure cell is `cell`. Calling it will 
            # change the value of that cell. 
            setter = types.FunctionType( 
                set_first_freevar_code, {}, "setter", (), (cell,) 
            ) 
            # And call it to set the cell. 
            setter(value) 
 
        # Make sure it works on this interpreter: 
        def make_func_with_cell(): 
            x = None 
 
            def func(): 
                return x  # pragma: no cover 
 
            return func 
 
        if PY2: 
            cell = make_func_with_cell().func_closure[0] 
        else: 
            cell = make_func_with_cell().__closure__[0] 
        set_closure_cell(cell, 100) 
        if cell.cell_contents != 100: 
            raise AssertionError  # pragma: no cover 
 
    except Exception: 
        return just_warn 
    else:
        return set_closure_cell 


set_closure_cell = make_set_closure_cell()