# Path: autograd/extend.py



import types
import warnings
import numpy as _np
import autograd.builtins as builtins
from autograd.extend import primitive, notrace_primitive
from numpy.core.einsumfunc import _parse_einsum_input
from __future__ import absolute_import

notrace_functions = [
    _np.ndim, _np.shape, _np.iscomplexobj, _np.result_type
]

def wrap_intdtype(cls):
    class IntdtypeSubclass(cls):

# Path: autograd/extend.py



# Path: autograd/numpy/numpy_wrapper.py
import types
import warnings
import numpy as _np
import autograd.builtins as builtins
from autograd.extend import primitive, notrace_primitive
from numpy.core.einsumfunc import _parse_einsum_input

from __future__ import absolute_import

notrace_functions = [
    _np.ndim, _np.shape, _np.iscomplexobj, _np.result_type
]

def wrap_intdtype(cls):
    class IntdtypeSubclass(cls):

        __new__ = notrace_primitive(cls.__new__)