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diff --git a/AppPkg/Applications/Python/Python-2.7.2/Lib/sets.py b/AppPkg/Applications/Python/Python-2.7.2/Lib/sets.py
deleted file mode 100644
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--- a/AppPkg/Applications/Python/Python-2.7.2/Lib/sets.py
+++ /dev/null
@@ -1,557 +0,0 @@
-"""Classes to represent arbitrary sets (including sets of sets).
-
-This module implements sets using dictionaries whose values are
-ignored.  The usual operations (union, intersection, deletion, etc.)
-are provided as both methods and operators.
-
-Important: sets are not sequences!  While they support 'x in s',
-'len(s)', and 'for x in s', none of those operations are unique for
-sequences; for example, mappings support all three as well.  The
-characteristic operation for sequences is subscripting with small
-integers: s[i], for i in range(len(s)).  Sets don't support
-subscripting at all.  Also, sequences allow multiple occurrences and
-their elements have a definite order; sets on the other hand don't
-record multiple occurrences and don't remember the order of element
-insertion (which is why they don't support s[i]).
-
-The following classes are provided:
-
-BaseSet -- All the operations common to both mutable and immutable
-    sets. This is an abstract class, not meant to be directly
-    instantiated.
-
-Set -- Mutable sets, subclass of BaseSet; not hashable.
-
-ImmutableSet -- Immutable sets, subclass of BaseSet; hashable.
-    An iterable argument is mandatory to create an ImmutableSet.
-
-_TemporarilyImmutableSet -- A wrapper around a Set, hashable,
-    giving the same hash value as the immutable set equivalent
-    would have.  Do not use this class directly.
-
-Only hashable objects can be added to a Set. In particular, you cannot
-really add a Set as an element to another Set; if you try, what is
-actually added is an ImmutableSet built from it (it compares equal to
-the one you tried adding).
-
-When you ask if `x in y' where x is a Set and y is a Set or
-ImmutableSet, x is wrapped into a _TemporarilyImmutableSet z, and
-what's tested is actually `z in y'.
-
-"""
-
-# Code history:
-#
-# - Greg V. Wilson wrote the first version, using a different approach
-#   to the mutable/immutable problem, and inheriting from dict.
-#
-# - Alex Martelli modified Greg's version to implement the current
-#   Set/ImmutableSet approach, and make the data an attribute.
-#
-# - Guido van Rossum rewrote much of the code, made some API changes,
-#   and cleaned up the docstrings.
-#
-# - Raymond Hettinger added a number of speedups and other
-#   improvements.
-
-from itertools import ifilter, ifilterfalse
-
-__all__ = ['BaseSet', 'Set', 'ImmutableSet']
-
-import warnings
-warnings.warn("the sets module is deprecated", DeprecationWarning,
-                stacklevel=2)
-
-class BaseSet(object):
-    """Common base class for mutable and immutable sets."""
-
-    __slots__ = ['_data']
-
-    # Constructor
-
-    def __init__(self):
-        """This is an abstract class."""
-        # Don't call this from a concrete subclass!
-        if self.__class__ is BaseSet:
-            raise TypeError, ("BaseSet is an abstract class.  "
-                              "Use Set or ImmutableSet.")
-
-    # Standard protocols: __len__, __repr__, __str__, __iter__
-
-    def __len__(self):
-        """Return the number of elements of a set."""
-        return len(self._data)
-
-    def __repr__(self):
-        """Return string representation of a set.
-
-        This looks like 'Set([<list of elements>])'.
-        """
-        return self._repr()
-
-    # __str__ is the same as __repr__
-    __str__ = __repr__
-
-    def _repr(self, sorted=False):
-        elements = self._data.keys()
-        if sorted:
-            elements.sort()
-        return '%s(%r)' % (self.__class__.__name__, elements)
-
-    def __iter__(self):
-        """Return an iterator over the elements or a set.
-
-        This is the keys iterator for the underlying dict.
-        """
-        return self._data.iterkeys()
-
-    # Three-way comparison is not supported.  However, because __eq__ is
-    # tried before __cmp__, if Set x == Set y, x.__eq__(y) returns True and
-    # then cmp(x, y) returns 0 (Python doesn't actually call __cmp__ in this
-    # case).
-
-    def __cmp__(self, other):
-        raise TypeError, "can't compare sets using cmp()"
-
-    # Equality comparisons using the underlying dicts.  Mixed-type comparisons
-    # are allowed here, where Set == z for non-Set z always returns False,
-    # and Set != z always True.  This allows expressions like "x in y" to
-    # give the expected result when y is a sequence of mixed types, not
-    # raising a pointless TypeError just because y contains a Set, or x is
-    # a Set and y contain's a non-set ("in" invokes only __eq__).
-    # Subtle:  it would be nicer if __eq__ and __ne__ could return
-    # NotImplemented instead of True or False.  Then the other comparand
-    # would get a chance to determine the result, and if the other comparand
-    # also returned NotImplemented then it would fall back to object address
-    # comparison (which would always return False for __eq__ and always
-    # True for __ne__).  However, that doesn't work, because this type
-    # *also* implements __cmp__:  if, e.g., __eq__ returns NotImplemented,
-    # Python tries __cmp__ next, and the __cmp__ here then raises TypeError.
-
-    def __eq__(self, other):
-        if isinstance(other, BaseSet):
-            return self._data == other._data
-        else:
-            return False
-
-    def __ne__(self, other):
-        if isinstance(other, BaseSet):
-            return self._data != other._data
-        else:
-            return True
-
-    # Copying operations
-
-    def copy(self):
-        """Return a shallow copy of a set."""
-        result = self.__class__()
-        result._data.update(self._data)
-        return result
-
-    __copy__ = copy # For the copy module
-
-    def __deepcopy__(self, memo):
-        """Return a deep copy of a set; used by copy module."""
-        # This pre-creates the result and inserts it in the memo
-        # early, in case the deep copy recurses into another reference
-        # to this same set.  A set can't be an element of itself, but
-        # it can certainly contain an object that has a reference to
-        # itself.
-        from copy import deepcopy
-        result = self.__class__()
-        memo[id(self)] = result
-        data = result._data
-        value = True
-        for elt in self:
-            data[deepcopy(elt, memo)] = value
-        return result
-
-    # Standard set operations: union, intersection, both differences.
-    # Each has an operator version (e.g. __or__, invoked with |) and a
-    # method version (e.g. union).
-    # Subtle:  Each pair requires distinct code so that the outcome is
-    # correct when the type of other isn't suitable.  For example, if
-    # we did "union = __or__" instead, then Set().union(3) would return
-    # NotImplemented instead of raising TypeError (albeit that *why* it
-    # raises TypeError as-is is also a bit subtle).
-
-    def __or__(self, other):
-        """Return the union of two sets as a new set.
-
-        (I.e. all elements that are in either set.)
-        """
-        if not isinstance(other, BaseSet):
-            return NotImplemented
-        return self.union(other)
-
-    def union(self, other):
-        """Return the union of two sets as a new set.
-
-        (I.e. all elements that are in either set.)
-        """
-        result = self.__class__(self)
-        result._update(other)
-        return result
-
-    def __and__(self, other):
-        """Return the intersection of two sets as a new set.
-
-        (I.e. all elements that are in both sets.)
-        """
-        if not isinstance(other, BaseSet):
-            return NotImplemented
-        return self.intersection(other)
-
-    def intersection(self, other):
-        """Return the intersection of two sets as a new set.
-
-        (I.e. all elements that are in both sets.)
-        """
-        if not isinstance(other, BaseSet):
-            other = Set(other)
-        if len(self) <= len(other):
-            little, big = self, other
-        else:
-            little, big = other, self
-        common = ifilter(big._data.__contains__, little)
-        return self.__class__(common)
-
-    def __xor__(self, other):
-        """Return the symmetric difference of two sets as a new set.
-
-        (I.e. all elements that are in exactly one of the sets.)
-        """
-        if not isinstance(other, BaseSet):
-            return NotImplemented
-        return self.symmetric_difference(other)
-
-    def symmetric_difference(self, other):
-        """Return the symmetric difference of two sets as a new set.
-
-        (I.e. all elements that are in exactly one of the sets.)
-        """
-        result = self.__class__()
-        data = result._data
-        value = True
-        selfdata = self._data
-        try:
-            otherdata = other._data
-        except AttributeError:
-            otherdata = Set(other)._data
-        for elt in ifilterfalse(otherdata.__contains__, selfdata):
-            data[elt] = value
-        for elt in ifilterfalse(selfdata.__contains__, otherdata):
-            data[elt] = value
-        return result
-
-    def  __sub__(self, other):
-        """Return the difference of two sets as a new Set.
-
-        (I.e. all elements that are in this set and not in the other.)
-        """
-        if not isinstance(other, BaseSet):
-            return NotImplemented
-        return self.difference(other)
-
-    def difference(self, other):
-        """Return the difference of two sets as a new Set.
-
-        (I.e. all elements that are in this set and not in the other.)
-        """
-        result = self.__class__()
-        data = result._data
-        try:
-            otherdata = other._data
-        except AttributeError:
-            otherdata = Set(other)._data
-        value = True
-        for elt in ifilterfalse(otherdata.__contains__, self):
-            data[elt] = value
-        return result
-
-    # Membership test
-
-    def __contains__(self, element):
-        """Report whether an element is a member of a set.
-
-        (Called in response to the expression `element in self'.)
-        """
-        try:
-            return element in self._data
-        except TypeError:
-            transform = getattr(element, "__as_temporarily_immutable__", None)
-            if transform is None:
-                raise # re-raise the TypeError exception we caught
-            return transform() in self._data
-
-    # Subset and superset test
-
-    def issubset(self, other):
-        """Report whether another set contains this set."""
-        self._binary_sanity_check(other)
-        if len(self) > len(other):  # Fast check for obvious cases
-            return False
-        for elt in ifilterfalse(other._data.__contains__, self):
-            return False
-        return True
-
-    def issuperset(self, other):
-        """Report whether this set contains another set."""
-        self._binary_sanity_check(other)
-        if len(self) < len(other):  # Fast check for obvious cases
-            return False
-        for elt in ifilterfalse(self._data.__contains__, other):
-            return False
-        return True
-
-    # Inequality comparisons using the is-subset relation.
-    __le__ = issubset
-    __ge__ = issuperset
-
-    def __lt__(self, other):
-        self._binary_sanity_check(other)
-        return len(self) < len(other) and self.issubset(other)
-
-    def __gt__(self, other):
-        self._binary_sanity_check(other)
-        return len(self) > len(other) and self.issuperset(other)
-
-    # We inherit object.__hash__, so we must deny this explicitly
-    __hash__ = None
-
-    # Assorted helpers
-
-    def _binary_sanity_check(self, other):
-        # Check that the other argument to a binary operation is also
-        # a set, raising a TypeError otherwise.
-        if not isinstance(other, BaseSet):
-            raise TypeError, "Binary operation only permitted between sets"
-
-    def _compute_hash(self):
-        # Calculate hash code for a set by xor'ing the hash codes of
-        # the elements.  This ensures that the hash code does not depend
-        # on the order in which elements are added to the set.  This is
-        # not called __hash__ because a BaseSet should not be hashable;
-        # only an ImmutableSet is hashable.
-        result = 0
-        for elt in self:
-            result ^= hash(elt)
-        return result
-
-    def _update(self, iterable):
-        # The main loop for update() and the subclass __init__() methods.
-        data = self._data
-
-        # Use the fast update() method when a dictionary is available.
-        if isinstance(iterable, BaseSet):
-            data.update(iterable._data)
-            return
-
-        value = True
-
-        if type(iterable) in (list, tuple, xrange):
-            # Optimized: we know that __iter__() and next() can't
-            # raise TypeError, so we can move 'try:' out of the loop.
-            it = iter(iterable)
-            while True:
-                try:
-                    for element in it:
-                        data[element] = value
-                    return
-                except TypeError:
-                    transform = getattr(element, "__as_immutable__", None)
-                    if transform is None:
-                        raise # re-raise the TypeError exception we caught
-                    data[transform()] = value
-        else:
-            # Safe: only catch TypeError where intended
-            for element in iterable:
-                try:
-                    data[element] = value
-                except TypeError:
-                    transform = getattr(element, "__as_immutable__", None)
-                    if transform is None:
-                        raise # re-raise the TypeError exception we caught
-                    data[transform()] = value
-
-
-class ImmutableSet(BaseSet):
-    """Immutable set class."""
-
-    __slots__ = ['_hashcode']
-
-    # BaseSet + hashing
-
-    def __init__(self, iterable=None):
-        """Construct an immutable set from an optional iterable."""
-        self._hashcode = None
-        self._data = {}
-        if iterable is not None:
-            self._update(iterable)
-
-    def __hash__(self):
-        if self._hashcode is None:
-            self._hashcode = self._compute_hash()
-        return self._hashcode
-
-    def __getstate__(self):
-        return self._data, self._hashcode
-
-    def __setstate__(self, state):
-        self._data, self._hashcode = state
-
-class Set(BaseSet):
-    """ Mutable set class."""
-
-    __slots__ = []
-
-    # BaseSet + operations requiring mutability; no hashing
-
-    def __init__(self, iterable=None):
-        """Construct a set from an optional iterable."""
-        self._data = {}
-        if iterable is not None:
-            self._update(iterable)
-
-    def __getstate__(self):
-        # getstate's results are ignored if it is not
-        return self._data,
-
-    def __setstate__(self, data):
-        self._data, = data
-
-    # In-place union, intersection, differences.
-    # Subtle:  The xyz_update() functions deliberately return None,
-    # as do all mutating operations on built-in container types.
-    # The __xyz__ spellings have to return self, though.
-
-    def __ior__(self, other):
-        """Update a set with the union of itself and another."""
-        self._binary_sanity_check(other)
-        self._data.update(other._data)
-        return self
-
-    def union_update(self, other):
-        """Update a set with the union of itself and another."""
-        self._update(other)
-
-    def __iand__(self, other):
-        """Update a set with the intersection of itself and another."""
-        self._binary_sanity_check(other)
-        self._data = (self & other)._data
-        return self
-
-    def intersection_update(self, other):
-        """Update a set with the intersection of itself and another."""
-        if isinstance(other, BaseSet):
-            self &= other
-        else:
-            self._data = (self.intersection(other))._data
-
-    def __ixor__(self, other):
-        """Update a set with the symmetric difference of itself and another."""
-        self._binary_sanity_check(other)
-        self.symmetric_difference_update(other)
-        return self
-
-    def symmetric_difference_update(self, other):
-        """Update a set with the symmetric difference of itself and another."""
-        data = self._data
-        value = True
-        if not isinstance(other, BaseSet):
-            other = Set(other)
-        if self is other:
-            self.clear()
-        for elt in other:
-            if elt in data:
-                del data[elt]
-            else:
-                data[elt] = value
-
-    def __isub__(self, other):
-        """Remove all elements of another set from this set."""
-        self._binary_sanity_check(other)
-        self.difference_update(other)
-        return self
-
-    def difference_update(self, other):
-        """Remove all elements of another set from this set."""
-        data = self._data
-        if not isinstance(other, BaseSet):
-            other = Set(other)
-        if self is other:
-            self.clear()
-        for elt in ifilter(data.__contains__, other):
-            del data[elt]
-
-    # Python dict-like mass mutations: update, clear
-
-    def update(self, iterable):
-        """Add all values from an iterable (such as a list or file)."""
-        self._update(iterable)
-
-    def clear(self):
-        """Remove all elements from this set."""
-        self._data.clear()
-
-    # Single-element mutations: add, remove, discard
-
-    def add(self, element):
-        """Add an element to a set.
-
-        This has no effect if the element is already present.
-        """
-        try:
-            self._data[element] = True
-        except TypeError:
-            transform = getattr(element, "__as_immutable__", None)
-            if transform is None:
-                raise # re-raise the TypeError exception we caught
-            self._data[transform()] = True
-
-    def remove(self, element):
-        """Remove an element from a set; it must be a member.
-
-        If the element is not a member, raise a KeyError.
-        """
-        try:
-            del self._data[element]
-        except TypeError:
-            transform = getattr(element, "__as_temporarily_immutable__", None)
-            if transform is None:
-                raise # re-raise the TypeError exception we caught
-            del self._data[transform()]
-
-    def discard(self, element):
-        """Remove an element from a set if it is a member.
-
-        If the element is not a member, do nothing.
-        """
-        try:
-            self.remove(element)
-        except KeyError:
-            pass
-
-    def pop(self):
-        """Remove and return an arbitrary set element."""
-        return self._data.popitem()[0]
-
-    def __as_immutable__(self):
-        # Return a copy of self as an immutable set
-        return ImmutableSet(self)
-
-    def __as_temporarily_immutable__(self):
-        # Return self wrapped in a temporarily immutable set
-        return _TemporarilyImmutableSet(self)
-
-
-class _TemporarilyImmutableSet(BaseSet):
-    # Wrap a mutable set as if it was temporarily immutable.
-    # This only supplies hashing and equality comparisons.
-
-    def __init__(self, set):
-        self._set = set
-        self._data = set._data  # Needed by ImmutableSet.__eq__()
-
-    def __hash__(self):
-        return self._set._compute_hash()