from __future__ import absolute_import, division, print_function
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import platform
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import sys
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import types
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import warnings
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PY2 = sys.version_info[0] == 2
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PYPY = platform.python_implementation() == "PyPy"
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if PYPY or sys.version_info[:2] >= (3, 6):
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ordered_dict = dict
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else:
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from collections import OrderedDict
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ordered_dict = OrderedDict
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if PY2:
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from UserDict import IterableUserDict
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# We 'bundle' isclass instead of using inspect as importing inspect is
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# fairly expensive (order of 10-15 ms for a modern machine in 2016)
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def isclass(klass):
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return isinstance(klass, (type, types.ClassType))
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# TYPE is used in exceptions, repr(int) is different on Python 2 and 3.
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TYPE = "type"
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def iteritems(d):
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return d.iteritems()
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# Python 2 is bereft of a read-only dict proxy, so we make one!
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class ReadOnlyDict(IterableUserDict):
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"""
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Best-effort read-only dict wrapper.
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"""
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def __setitem__(self, key, val):
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# We gently pretend we're a Python 3 mappingproxy.
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raise TypeError(
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"'mappingproxy' object does not support item assignment"
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)
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def update(self, _):
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# We gently pretend we're a Python 3 mappingproxy.
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raise AttributeError(
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"'mappingproxy' object has no attribute 'update'"
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)
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def __delitem__(self, _):
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# We gently pretend we're a Python 3 mappingproxy.
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raise TypeError(
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"'mappingproxy' object does not support item deletion"
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)
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def clear(self):
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# We gently pretend we're a Python 3 mappingproxy.
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raise AttributeError(
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"'mappingproxy' object has no attribute 'clear'"
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)
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def pop(self, key, default=None):
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# We gently pretend we're a Python 3 mappingproxy.
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raise AttributeError(
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"'mappingproxy' object has no attribute 'pop'"
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)
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def popitem(self):
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# We gently pretend we're a Python 3 mappingproxy.
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raise AttributeError(
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"'mappingproxy' object has no attribute 'popitem'"
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)
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def setdefault(self, key, default=None):
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# We gently pretend we're a Python 3 mappingproxy.
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raise AttributeError(
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"'mappingproxy' object has no attribute 'setdefault'"
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)
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def __repr__(self):
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# Override to be identical to the Python 3 version.
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return "mappingproxy(" + repr(self.data) + ")"
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def metadata_proxy(d):
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res = ReadOnlyDict()
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res.data.update(d) # We blocked update, so we have to do it like this.
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return res
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else:
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def isclass(klass):
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return isinstance(klass, type)
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TYPE = "class"
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def iteritems(d):
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return d.items()
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def metadata_proxy(d):
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return types.MappingProxyType(dict(d))
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def import_ctypes():
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"""
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Moved into a function for testability.
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"""
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import ctypes
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return ctypes
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if not PY2:
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def just_warn(*args, **kw):
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"""
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We only warn on Python 3 because we are not aware of any concrete
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consequences of not setting the cell on Python 2.
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"""
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warnings.warn(
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"Missing ctypes. Some features like bare super() or accessing "
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"__class__ will not work with slots classes.",
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RuntimeWarning,
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stacklevel=2,
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)
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else:
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def just_warn(*args, **kw): # pragma: nocover
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"""
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We only warn on Python 3 because we are not aware of any concrete
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consequences of not setting the cell on Python 2.
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"""
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def make_set_closure_cell():
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"""
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Moved into a function for testability.
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"""
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if PYPY: # pragma: no cover
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def set_closure_cell(cell, value):
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cell.__setstate__((value,))
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else:
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try:
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ctypes = import_ctypes()
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set_closure_cell = ctypes.pythonapi.PyCell_Set
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set_closure_cell.argtypes = (ctypes.py_object, ctypes.py_object)
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set_closure_cell.restype = ctypes.c_int
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except Exception:
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# We try best effort to set the cell, but sometimes it's not
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# possible. For example on Jython or on GAE.
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set_closure_cell = just_warn
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return set_closure_cell
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set_closure_cell = make_set_closure_cell()
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