Add google-endpoints to third_party/.

third_party/google-endpoints/future/backports/misc.py

Index: third_party/google-endpoints/future/backports/misc.py
diff --git a/third_party/google-endpoints/future/backports/misc.py b/third_party/google-endpoints/future/backports/misc.py
new file mode 100644
index 0000000000000000000000000000000000000000..31e713ae38e41cbe22cdcc1b323e33dda3e594ad
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+++ b/third_party/google-endpoints/future/backports/misc.py
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+"""
+Miscellaneous function (re)definitions from the Py3.4+ standard library
+for Python 2.6/2.7.
+
+- math.ceil                (for Python 2.7)
+- collections.OrderedDict  (for Python 2.6)
+- collections.Counter      (for Python 2.6)
+- collections.ChainMap     (for all versions prior to Python 3.3)
+- itertools.count          (for Python 2.6, with step parameter)
+- subprocess.check_output  (for Python 2.6)
+- reprlib.recursive_repr   (for Python 2.6+)
+- functools.cmp_to_key     (for Python 2.6)
+"""
+
+from __future__ import absolute_import
+
+import subprocess
+from math import ceil as oldceil
+from collections import Mapping, MutableMapping
+
+from operator import itemgetter as _itemgetter, eq as _eq
+import sys
+import heapq as _heapq
+from _weakref import proxy as _proxy
+from itertools import repeat as _repeat, chain as _chain, starmap as _starmap
+from socket import getaddrinfo, SOCK_STREAM, error, socket
+
+from future.utils import iteritems, itervalues, PY26, PY3
+
+
+def ceil(x):
+    """
+    Return the ceiling of x as an int.
+    This is the smallest integral value >= x.
+    """
+    return int(oldceil(x))
+
+
+########################################################################
+###  reprlib.recursive_repr decorator from Py3.4
+########################################################################
+
+from itertools import islice
+
+if PY3:
+    try:
+        from _thread import get_ident
+    except ImportError:
+        from _dummy_thread import get_ident
+else:
+    try:
+        from thread import get_ident
+    except ImportError:
+        from dummy_thread import get_ident
+
+
+def recursive_repr(fillvalue='...'):
+    'Decorator to make a repr function return fillvalue for a recursive call'
+
+    def decorating_function(user_function):
+        repr_running = set()
+
+        def wrapper(self):
+            key = id(self), get_ident()
+            if key in repr_running:
+                return fillvalue
+            repr_running.add(key)
+            try:
+                result = user_function(self)
+            finally:
+                repr_running.discard(key)
+            return result
+
+        # Can't use functools.wraps() here because of bootstrap issues
+        wrapper.__module__ = getattr(user_function, '__module__')
+        wrapper.__doc__ = getattr(user_function, '__doc__')
+        wrapper.__name__ = getattr(user_function, '__name__')
+        wrapper.__annotations__ = getattr(user_function, '__annotations__', {})
+        return wrapper
+
+    return decorating_function
+
+
+################################################################################
+### OrderedDict
+################################################################################
+
+class _Link(object):
+    __slots__ = 'prev', 'next', 'key', '__weakref__'
+
+class OrderedDict(dict):
+    'Dictionary that remembers insertion order'
+    # An inherited dict maps keys to values.
+    # The inherited dict provides __getitem__, __len__, __contains__, and get.
+    # The remaining methods are order-aware.
+    # Big-O running times for all methods are the same as regular dictionaries.
+
+    # The internal self.__map dict maps keys to links in a doubly linked list.
+    # The circular doubly linked list starts and ends with a sentinel element.
+    # The sentinel element never gets deleted (this simplifies the algorithm).
+    # The sentinel is in self.__hardroot with a weakref proxy in self.__root.
+    # The prev links are weakref proxies (to prevent circular references).
+    # Individual links are kept alive by the hard reference in self.__map.
+    # Those hard references disappear when a key is deleted from an OrderedDict.
+
+    def __init__(*args, **kwds):
+        '''Initialize an ordered dictionary.  The signature is the same as
+        regular dictionaries, but keyword arguments are not recommended because
+        their insertion order is arbitrary.
+
+        '''
+        if not args:
+            raise TypeError("descriptor '__init__' of 'OrderedDict' object "
+                            "needs an argument")
+        self = args[0]
+        args = args[1:]
+        if len(args) > 1:
+            raise TypeError('expected at most 1 arguments, got %d' % len(args))
+        try:
+            self.__root
+        except AttributeError:
+            self.__hardroot = _Link()
+            self.__root = root = _proxy(self.__hardroot)
+            root.prev = root.next = root
+            self.__map = {}
+        self.__update(*args, **kwds)
+
+    def __setitem__(self, key, value,
+                    dict_setitem=dict.__setitem__, proxy=_proxy, Link=_Link):
+        'od.__setitem__(i, y) <==> od[i]=y'
+        # Setting a new item creates a new link at the end of the linked list,
+        # and the inherited dictionary is updated with the new key/value pair.
+        if key not in self:
+            self.__map[key] = link = Link()
+            root = self.__root
+            last = root.prev
+            link.prev, link.next, link.key = last, root, key
+            last.next = link
+            root.prev = proxy(link)
+        dict_setitem(self, key, value)
+
+    def __delitem__(self, key, dict_delitem=dict.__delitem__):
+        'od.__delitem__(y) <==> del od[y]'
+        # Deleting an existing item uses self.__map to find the link which gets
+        # removed by updating the links in the predecessor and successor nodes.
+        dict_delitem(self, key)
+        link = self.__map.pop(key)
+        link_prev = link.prev
+        link_next = link.next
+        link_prev.next = link_next
+        link_next.prev = link_prev
+
+    def __iter__(self):
+        'od.__iter__() <==> iter(od)'
+        # Traverse the linked list in order.
+        root = self.__root
+        curr = root.next
+        while curr is not root:
+            yield curr.key
+            curr = curr.next
+
+    def __reversed__(self):
+        'od.__reversed__() <==> reversed(od)'
+        # Traverse the linked list in reverse order.
+        root = self.__root
+        curr = root.prev
+        while curr is not root:
+            yield curr.key
+            curr = curr.prev
+
+    def clear(self):
+        'od.clear() -> None.  Remove all items from od.'
+        root = self.__root
+        root.prev = root.next = root
+        self.__map.clear()
+        dict.clear(self)
+
+    def popitem(self, last=True):
+        '''od.popitem() -> (k, v), return and remove a (key, value) pair.
+        Pairs are returned in LIFO order if last is true or FIFO order if false.
+
+        '''
+        if not self:
+            raise KeyError('dictionary is empty')
+        root = self.__root
+        if last:
+            link = root.prev
+            link_prev = link.prev
+            link_prev.next = root
+            root.prev = link_prev
+        else:
+            link = root.next
+            link_next = link.next
+            root.next = link_next
+            link_next.prev = root
+        key = link.key
+        del self.__map[key]
+        value = dict.pop(self, key)
+        return key, value
+
+    def move_to_end(self, key, last=True):
+        '''Move an existing element to the end (or beginning if last==False).
+
+        Raises KeyError if the element does not exist.
+        When last=True, acts like a fast version of self[key]=self.pop(key).
+
+        '''
+        link = self.__map[key]
+        link_prev = link.prev
+        link_next = link.next
+        link_prev.next = link_next
+        link_next.prev = link_prev
+        root = self.__root
+        if last:
+            last = root.prev
+            link.prev = last
+            link.next = root
+            last.next = root.prev = link
+        else:
+            first = root.next
+            link.prev = root
+            link.next = first
+            root.next = first.prev = link
+
+    def __sizeof__(self):
+        sizeof = sys.getsizeof
+        n = len(self) + 1                       # number of links including root
+        size = sizeof(self.__dict__)            # instance dictionary
+        size += sizeof(self.__map) * 2          # internal dict and inherited dict
+        size += sizeof(self.__hardroot) * n     # link objects
+        size += sizeof(self.__root) * n         # proxy objects
+        return size
+
+    update = __update = MutableMapping.update
+    keys = MutableMapping.keys
+    values = MutableMapping.values
+    items = MutableMapping.items
+    __ne__ = MutableMapping.__ne__
+
+    __marker = object()
+
+    def pop(self, key, default=__marker):
+        '''od.pop(k[,d]) -> v, remove specified key and return the corresponding
+        value.  If key is not found, d is returned if given, otherwise KeyError
+        is raised.
+
+        '''
+        if key in self:
+            result = self[key]
+            del self[key]
+            return result
+        if default is self.__marker:
+            raise KeyError(key)
+        return default
+
+    def setdefault(self, key, default=None):
+        'od.setdefault(k[,d]) -> od.get(k,d), also set od[k]=d if k not in od'
+        if key in self:
+            return self[key]
+        self[key] = default
+        return default
+
+    @recursive_repr()
+    def __repr__(self):
+        'od.__repr__() <==> repr(od)'
+        if not self:
+            return '%s()' % (self.__class__.__name__,)
+        return '%s(%r)' % (self.__class__.__name__, list(self.items()))
+
+    def __reduce__(self):
+        'Return state information for pickling'
+        inst_dict = vars(self).copy()
+        for k in vars(OrderedDict()):
+            inst_dict.pop(k, None)
+        return self.__class__, (), inst_dict or None, None, iter(self.items())
+
+    def copy(self):
+        'od.copy() -> a shallow copy of od'
+        return self.__class__(self)
+
+    @classmethod
+    def fromkeys(cls, iterable, value=None):
+        '''OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S.
+        If not specified, the value defaults to None.
+
+        '''
+        self = cls()
+        for key in iterable:
+            self[key] = value
+        return self
+
+    def __eq__(self, other):
+        '''od.__eq__(y) <==> od==y.  Comparison to another OD is order-sensitive
+        while comparison to a regular mapping is order-insensitive.
+
+        '''
+        if isinstance(other, OrderedDict):
+            return dict.__eq__(self, other) and all(map(_eq, self, other))
+        return dict.__eq__(self, other)
+
+
+# {{{ http://code.activestate.com/recipes/576611/ (r11)
+
+try:
+    from operator import itemgetter
+    from heapq import nlargest
+except ImportError:
+    pass
+
+########################################################################
+###  Counter
+########################################################################
+
+def _count_elements(mapping, iterable):
+    'Tally elements from the iterable.'
+    mapping_get = mapping.get
+    for elem in iterable:
+        mapping[elem] = mapping_get(elem, 0) + 1
+
+class Counter(dict):
+    '''Dict subclass for counting hashable items.  Sometimes called a bag
+    or multiset.  Elements are stored as dictionary keys and their counts
+    are stored as dictionary values.
+
+    >>> c = Counter('abcdeabcdabcaba')  # count elements from a string
+
+    >>> c.most_common(3)                # three most common elements
+    [('a', 5), ('b', 4), ('c', 3)]
+    >>> sorted(c)                       # list all unique elements
+    ['a', 'b', 'c', 'd', 'e']
+    >>> ''.join(sorted(c.elements()))   # list elements with repetitions
+    'aaaaabbbbcccdde'
+    >>> sum(c.values())                 # total of all counts
+    15
+
+    >>> c['a']                          # count of letter 'a'
+    5
+    >>> for elem in 'shazam':           # update counts from an iterable
+    ...     c[elem] += 1                # by adding 1 to each element's count
+    >>> c['a']                          # now there are seven 'a'
+    7
+    >>> del c['b']                      # remove all 'b'
+    >>> c['b']                          # now there are zero 'b'
+    0
+
+    >>> d = Counter('simsalabim')       # make another counter
+    >>> c.update(d)                     # add in the second counter
+    >>> c['a']                          # now there are nine 'a'
+    9
+
+    >>> c.clear()                       # empty the counter
+    >>> c
+    Counter()
+
+    Note:  If a count is set to zero or reduced to zero, it will remain
+    in the counter until the entry is deleted or the counter is cleared:
+
+    >>> c = Counter('aaabbc')
+    >>> c['b'] -= 2                     # reduce the count of 'b' by two
+    >>> c.most_common()                 # 'b' is still in, but its count is zero
+    [('a', 3), ('c', 1), ('b', 0)]
+
+    '''
+    # References:
+    #   http://en.wikipedia.org/wiki/Multiset
+    #   http://www.gnu.org/software/smalltalk/manual-base/html_node/Bag.html
+    #   http://www.demo2s.com/Tutorial/Cpp/0380__set-multiset/Catalog0380__set-multiset.htm
+    #   http://code.activestate.com/recipes/259174/
+    #   Knuth, TAOCP Vol. II section 4.6.3
+
+    def __init__(*args, **kwds):
+        '''Create a new, empty Counter object.  And if given, count elements
+        from an input iterable.  Or, initialize the count from another mapping
+        of elements to their counts.
+
+        >>> c = Counter()                           # a new, empty counter
+        >>> c = Counter('gallahad')                 # a new counter from an iterable
+        >>> c = Counter({'a': 4, 'b': 2})           # a new counter from a mapping
+        >>> c = Counter(a=4, b=2)                   # a new counter from keyword args
+
+        '''
+        if not args:
+            raise TypeError("descriptor '__init__' of 'Counter' object "
+                            "needs an argument")
+        self = args[0]
+        args = args[1:]
+        if len(args) > 1:
+            raise TypeError('expected at most 1 arguments, got %d' % len(args))
+        super(Counter, self).__init__()
+        self.update(*args, **kwds)
+
+    def __missing__(self, key):
+        'The count of elements not in the Counter is zero.'
+        # Needed so that self[missing_item] does not raise KeyError
+        return 0
+
+    def most_common(self, n=None):
+        '''List the n most common elements and their counts from the most
+        common to the least.  If n is None, then list all element counts.
+
+        >>> Counter('abcdeabcdabcaba').most_common(3)
+        [('a', 5), ('b', 4), ('c', 3)]
+
+        '''
+        # Emulate Bag.sortedByCount from Smalltalk
+        if n is None:
+            return sorted(self.items(), key=_itemgetter(1), reverse=True)
+        return _heapq.nlargest(n, self.items(), key=_itemgetter(1))
+
+    def elements(self):
+        '''Iterator over elements repeating each as many times as its count.
+
+        >>> c = Counter('ABCABC')
+        >>> sorted(c.elements())
+        ['A', 'A', 'B', 'B', 'C', 'C']
+
+        # Knuth's example for prime factors of 1836:  2**2 * 3**3 * 17**1
+        >>> prime_factors = Counter({2: 2, 3: 3, 17: 1})
+        >>> product = 1
+        >>> for factor in prime_factors.elements():     # loop over factors
+        ...     product *= factor                       # and multiply them
+        >>> product
+        1836
+
+        Note, if an element's count has been set to zero or is a negative
+        number, elements() will ignore it.
+
+        '''
+        # Emulate Bag.do from Smalltalk and Multiset.begin from C++.
+        return _chain.from_iterable(_starmap(_repeat, self.items()))
+
+    # Override dict methods where necessary
+
+    @classmethod
+    def fromkeys(cls, iterable, v=None):
+        # There is no equivalent method for counters because setting v=1
+        # means that no element can have a count greater than one.
+        raise NotImplementedError(
+            'Counter.fromkeys() is undefined.  Use Counter(iterable) instead.')
+
+    def update(*args, **kwds):
+        '''Like dict.update() but add counts instead of replacing them.
+
+        Source can be an iterable, a dictionary, or another Counter instance.
+
+        >>> c = Counter('which')
+        >>> c.update('witch')           # add elements from another iterable
+        >>> d = Counter('watch')
+        >>> c.update(d)                 # add elements from another counter
+        >>> c['h']                      # four 'h' in which, witch, and watch
+        4
+
+        '''
+        # The regular dict.update() operation makes no sense here because the
+        # replace behavior results in the some of original untouched counts
+        # being mixed-in with all of the other counts for a mismash that
+        # doesn't have a straight-forward interpretation in most counting
+        # contexts.  Instead, we implement straight-addition.  Both the inputs
+        # and outputs are allowed to contain zero and negative counts.
+
+        if not args:
+            raise TypeError("descriptor 'update' of 'Counter' object "
+                            "needs an argument")
+        self = args[0]
+        args = args[1:]
+        if len(args) > 1:
+            raise TypeError('expected at most 1 arguments, got %d' % len(args))
+        iterable = args[0] if args else None
+        if iterable is not None:
+            if isinstance(iterable, Mapping):
+                if self:
+                    self_get = self.get
+                    for elem, count in iterable.items():
+                        self[elem] = count + self_get(elem, 0)
+                else:
+                    super(Counter, self).update(iterable) # fast path when counter is empty
+            else:
+                _count_elements(self, iterable)
+        if kwds:
+            self.update(kwds)
+
+    def subtract(*args, **kwds):
+        '''Like dict.update() but subtracts counts instead of replacing them.
+        Counts can be reduced below zero.  Both the inputs and outputs are
+        allowed to contain zero and negative counts.
+
+        Source can be an iterable, a dictionary, or another Counter instance.
+
+        >>> c = Counter('which')
+        >>> c.subtract('witch')             # subtract elements from another iterable
+        >>> c.subtract(Counter('watch'))    # subtract elements from another counter
+        >>> c['h']                          # 2 in which, minus 1 in witch, minus 1 in watch
+        0
+        >>> c['w']                          # 1 in which, minus 1 in witch, minus 1 in watch
+        -1
+
+        '''
+        if not args:
+            raise TypeError("descriptor 'subtract' of 'Counter' object "
+                            "needs an argument")
+        self = args[0]
+        args = args[1:]
+        if len(args) > 1:
+            raise TypeError('expected at most 1 arguments, got %d' % len(args))
+        iterable = args[0] if args else None
+        if iterable is not None:
+            self_get = self.get
+            if isinstance(iterable, Mapping):
+                for elem, count in iterable.items():
+                    self[elem] = self_get(elem, 0) - count
+            else:
+                for elem in iterable:
+                    self[elem] = self_get(elem, 0) - 1
+        if kwds:
+            self.subtract(kwds)
+
+    def copy(self):
+        'Return a shallow copy.'
+        return self.__class__(self)
+
+    def __reduce__(self):
+        return self.__class__, (dict(self),)
+
+    def __delitem__(self, elem):
+        'Like dict.__delitem__() but does not raise KeyError for missing values.'
+        if elem in self:
+            super(Counter, self).__delitem__(elem)
+
+    def __repr__(self):
+        if not self:
+            return '%s()' % self.__class__.__name__
+        try:
+            items = ', '.join(map('%r: %r'.__mod__, self.most_common()))
+            return '%s({%s})' % (self.__class__.__name__, items)
+        except TypeError:
+            # handle case where values are not orderable
+            return '{0}({1!r})'.format(self.__class__.__name__, dict(self))
+
+    # Multiset-style mathematical operations discussed in:
+    #       Knuth TAOCP Volume II section 4.6.3 exercise 19
+    #       and at http://en.wikipedia.org/wiki/Multiset
+    #
+    # Outputs guaranteed to only include positive counts.
+    #
+    # To strip negative and zero counts, add-in an empty counter:
+    #       c += Counter()
+
+    def __add__(self, other):
+        '''Add counts from two counters.
+
+        >>> Counter('abbb') + Counter('bcc')
+        Counter({'b': 4, 'c': 2, 'a': 1})
+
+        '''
+        if not isinstance(other, Counter):
+            return NotImplemented
+        result = Counter()
+        for elem, count in self.items():
+            newcount = count + other[elem]
+            if newcount > 0:
+                result[elem] = newcount
+        for elem, count in other.items():
+            if elem not in self and count > 0:
+                result[elem] = count
+        return result
+
+    def __sub__(self, other):
+        ''' Subtract count, but keep only results with positive counts.
+
+        >>> Counter('abbbc') - Counter('bccd')
+        Counter({'b': 2, 'a': 1})
+
+        '''
+        if not isinstance(other, Counter):
+            return NotImplemented
+        result = Counter()
+        for elem, count in self.items():
+            newcount = count - other[elem]
+            if newcount > 0:
+                result[elem] = newcount
+        for elem, count in other.items():
+            if elem not in self and count < 0:
+                result[elem] = 0 - count
+        return result
+
+    def __or__(self, other):
+        '''Union is the maximum of value in either of the input counters.
+
+        >>> Counter('abbb') | Counter('bcc')
+        Counter({'b': 3, 'c': 2, 'a': 1})
+
+        '''
+        if not isinstance(other, Counter):
+            return NotImplemented
+        result = Counter()
+        for elem, count in self.items():
+            other_count = other[elem]
+            newcount = other_count if count < other_count else count
+            if newcount > 0:
+                result[elem] = newcount
+        for elem, count in other.items():
+            if elem not in self and count > 0:
+                result[elem] = count
+        return result
+
+    def __and__(self, other):
+        ''' Intersection is the minimum of corresponding counts.
+
+        >>> Counter('abbb') & Counter('bcc')
+        Counter({'b': 1})
+
+        '''
+        if not isinstance(other, Counter):
+            return NotImplemented
+        result = Counter()
+        for elem, count in self.items():
+            other_count = other[elem]
+            newcount = count if count < other_count else other_count
+            if newcount > 0:
+                result[elem] = newcount
+        return result
+
+    def __pos__(self):
+        'Adds an empty counter, effectively stripping negative and zero counts'
+        return self + Counter()
+
+    def __neg__(self):
+        '''Subtracts from an empty counter.  Strips positive and zero counts,
+        and flips the sign on negative counts.
+
+        '''
+        return Counter() - self
+
+    def _keep_positive(self):
+        '''Internal method to strip elements with a negative or zero count'''
+        nonpositive = [elem for elem, count in self.items() if not count > 0]
+        for elem in nonpositive:
+            del self[elem]
+        return self
+
+    def __iadd__(self, other):
+        '''Inplace add from another counter, keeping only positive counts.
+
+        >>> c = Counter('abbb')
+        >>> c += Counter('bcc')
+        >>> c
+        Counter({'b': 4, 'c': 2, 'a': 1})
+
+        '''
+        for elem, count in other.items():
+            self[elem] += count
+        return self._keep_positive()
+
+    def __isub__(self, other):
+        '''Inplace subtract counter, but keep only results with positive counts.
+
+        >>> c = Counter('abbbc')
+        >>> c -= Counter('bccd')
+        >>> c
+        Counter({'b': 2, 'a': 1})
+
+        '''
+        for elem, count in other.items():
+            self[elem] -= count
+        return self._keep_positive()
+
+    def __ior__(self, other):
+        '''Inplace union is the maximum of value from either counter.
+
+        >>> c = Counter('abbb')
+        >>> c |= Counter('bcc')
+        >>> c
+        Counter({'b': 3, 'c': 2, 'a': 1})
+
+        '''
+        for elem, other_count in other.items():
+            count = self[elem]
+            if other_count > count:
+                self[elem] = other_count
+        return self._keep_positive()
+
+    def __iand__(self, other):
+        '''Inplace intersection is the minimum of corresponding counts.
+
+        >>> c = Counter('abbb')
+        >>> c &= Counter('bcc')
+        >>> c
+        Counter({'b': 1})
+
+        '''
+        for elem, count in self.items():
+            other_count = other[elem]
+            if other_count < count:
+                self[elem] = other_count
+        return self._keep_positive()
+
+
+def check_output(*popenargs, **kwargs):
+    """
+    For Python 2.6 compatibility: see
+    http://stackoverflow.com/questions/4814970/
+    """
+
+    if 'stdout' in kwargs:
+        raise ValueError('stdout argument not allowed, it will be overridden.')
+    process = subprocess.Popen(stdout=subprocess.PIPE, *popenargs, **kwargs)
+    output, unused_err = process.communicate()
+    retcode = process.poll()
+    if retcode:
+        cmd = kwargs.get("args")
+        if cmd is None:
+            cmd = popenargs[0]
+        raise subprocess.CalledProcessError(retcode, cmd)
+    return output
+
+
+def count(start=0, step=1):
+    """
+    ``itertools.count`` in Py 2.6 doesn't accept a step
+    parameter. This is an enhanced version of ``itertools.count``
+    for Py2.6 equivalent to ``itertools.count`` in Python 2.7+.
+    """
+    while True:
+        yield start
+        start += step
+
+
+########################################################################
+###  ChainMap (helper for configparser and string.Template)
+###  From the Py3.4 source code. See also:
+###    https://github.com/kkxue/Py2ChainMap/blob/master/py2chainmap.py
+########################################################################
+
+class ChainMap(MutableMapping):
+    ''' A ChainMap groups multiple dicts (or other mappings) together
+    to create a single, updateable view.
+
+    The underlying mappings are stored in a list.  That list is public and can
+    accessed or updated using the *maps* attribute.  There is no other state.
+
+    Lookups search the underlying mappings successively until a key is found.
+    In contrast, writes, updates, and deletions only operate on the first
+    mapping.
+
+    '''
+
+    def __init__(self, *maps):
+        '''Initialize a ChainMap by setting *maps* to the given mappings.
+        If no mappings are provided, a single empty dictionary is used.
+
+        '''
+        self.maps = list(maps) or [{}]          # always at least one map
+
+    def __missing__(self, key):
+        raise KeyError(key)
+
+    def __getitem__(self, key):
+        for mapping in self.maps:
+            try:
+                return mapping[key]             # can't use 'key in mapping' with defaultdict
+            except KeyError:
+                pass
+        return self.__missing__(key)            # support subclasses that define __missing__
+
+    def get(self, key, default=None):
+        return self[key] if key in self else default
+
+    def __len__(self):
+        return len(set().union(*self.maps))     # reuses stored hash values if possible
+
+    def __iter__(self):
+        return iter(set().union(*self.maps))
+
+    def __contains__(self, key):
+        return any(key in m for m in self.maps)
+
+    def __bool__(self):
+        return any(self.maps)
+
+    # Py2 compatibility:
+    __nonzero__ = __bool__
+        
+    @recursive_repr()
+    def __repr__(self):
+        return '{0.__class__.__name__}({1})'.format(
+            self, ', '.join(map(repr, self.maps)))
+
+    @classmethod
+    def fromkeys(cls, iterable, *args):
+        'Create a ChainMap with a single dict created from the iterable.'
+        return cls(dict.fromkeys(iterable, *args))
+
+    def copy(self):
+        'New ChainMap or subclass with a new copy of maps[0] and refs to maps[1:]'
+        return self.__class__(self.maps[0].copy(), *self.maps[1:])
+
+    __copy__ = copy
+
+    def new_child(self, m=None):                # like Django's Context.push()
+        '''
+        New ChainMap with a new map followed by all previous maps. If no
+        map is provided, an empty dict is used.
+        '''
+        if m is None:
+            m = {}
+        return self.__class__(m, *self.maps)
+
+    @property
+    def parents(self):                          # like Django's Context.pop()
+        'New ChainMap from maps[1:].'
+        return self.__class__(*self.maps[1:])
+
+    def __setitem__(self, key, value):
+        self.maps[0][key] = value
+
+    def __delitem__(self, key):
+        try:
+            del self.maps[0][key]
+        except KeyError:
+            raise KeyError('Key not found in the first mapping: {!r}'.format(key))
+
+    def popitem(self):
+        'Remove and return an item pair from maps[0]. Raise KeyError is maps[0] is empty.'
+        try:
+            return self.maps[0].popitem()
+        except KeyError:
+            raise KeyError('No keys found in the first mapping.')
+
+    def pop(self, key, *args):
+        'Remove *key* from maps[0] and return its value. Raise KeyError if *key* not in maps[0].'
+        try:
+            return self.maps[0].pop(key, *args)
+        except KeyError:
+            raise KeyError('Key not found in the first mapping: {!r}'.format(key))
+
+    def clear(self):
+        'Clear maps[0], leaving maps[1:] intact.'
+        self.maps[0].clear()
+
+
+# Re-use the same sentinel as in the Python stdlib socket module:
+from socket import _GLOBAL_DEFAULT_TIMEOUT
+# Was: _GLOBAL_DEFAULT_TIMEOUT = object()
+
+
+def create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT,
+                      source_address=None):
+    """Backport of 3-argument create_connection() for Py2.6.
+
+    Connect to *address* and return the socket object.
+
+    Convenience function.  Connect to *address* (a 2-tuple ``(host,
+    port)``) and return the socket object.  Passing the optional
+    *timeout* parameter will set the timeout on the socket instance
+    before attempting to connect.  If no *timeout* is supplied, the
+    global default timeout setting returned by :func:`getdefaulttimeout`
+    is used.  If *source_address* is set it must be a tuple of (host, port)
+    for the socket to bind as a source address before making the connection.
+    An host of '' or port 0 tells the OS to use the default.
+    """
+
+    host, port = address
+    err = None
+    for res in getaddrinfo(host, port, 0, SOCK_STREAM):
+        af, socktype, proto, canonname, sa = res
+        sock = None
+        try:
+            sock = socket(af, socktype, proto)
+            if timeout is not _GLOBAL_DEFAULT_TIMEOUT:
+                sock.settimeout(timeout)
+            if source_address:
+                sock.bind(source_address)
+            sock.connect(sa)
+            return sock
+
+        except error as _:
+            err = _
+            if sock is not None:
+                sock.close()
+
+    if err is not None:
+        raise err
+    else:
+        raise error("getaddrinfo returns an empty list")
+
+# Backport from Py2.7 for Py2.6:
+def cmp_to_key(mycmp):
+    """Convert a cmp= function into a key= function"""
+    class K(object):
+        __slots__ = ['obj']
+        def __init__(self, obj, *args):
+            self.obj = obj
+        def __lt__(self, other):
+            return mycmp(self.obj, other.obj) < 0
+        def __gt__(self, other):
+            return mycmp(self.obj, other.obj) > 0
+        def __eq__(self, other):
+            return mycmp(self.obj, other.obj) == 0
+        def __le__(self, other):
+            return mycmp(self.obj, other.obj) <= 0
+        def __ge__(self, other):
+            return mycmp(self.obj, other.obj) >= 0
+        def __ne__(self, other):
+            return mycmp(self.obj, other.obj) != 0
+        def __hash__(self):
+            raise TypeError('hash not implemented')
+    return K
+
+# Back up our definitions above in case they're useful
+_OrderedDict = OrderedDict
+_Counter = Counter
+_check_output = check_output
+_count = count
+_ceil = ceil
+__count_elements = _count_elements
+_recursive_repr = recursive_repr
+_ChainMap = ChainMap
+_create_connection = create_connection
+_cmp_to_key = cmp_to_key
+
+# Overwrite the definitions above with the usual ones
+# from the standard library:
+if sys.version_info >= (2, 7):
+    from collections import OrderedDict, Counter
+    from itertools import count
+    from functools import cmp_to_key
+    try:
+        from subprocess import check_output
+    except ImportError:
+        # Not available. This happens with Google App Engine: see issue #231
+        pass
+    from socket import create_connection
+
+if sys.version_info >= (3, 0):
+    from math import ceil
+    from collections import _count_elements
+
+if sys.version_info >= (3, 3):
+    from reprlib import recursive_repr
+    from collections import ChainMap