Source code for pds4_tools.extern.ordered_dict

try:
    from thread import get_ident as _get_ident
except ImportError:
    try:
        from dummy_thread import get_ident as _get_ident
    except ImportError:
        pass

try:
    from _abcoll import KeysView, ValuesView, ItemsView
except ImportError:
    pass


[docs]class OrderedDict(dict): """ Dictionary that remembers insertion order, for Python 2.6 and below Code from: http://code.activestate.com/recipes/576693/ 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 for regular dictionaries. The internal self.__map dictionary 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). Each link is stored as a list of length three: [PREV, NEXT, KEY]. """ def __init__(self, *args, **kwds): # Initialize an ordered dictionary. Signature is the same as for # regular dictionaries, but keyword arguments are not recommended # because their insertion order is arbitrary. if len(args) > 1: raise TypeError('expected at most 1 arguments, got %d' % len(args)) try: self.__root except AttributeError: self.__root = root = [] # sentinel node root[:] = [root, root, None] self.__map = {} self.__update(*args, **kwds) def __setitem__(self, key, value, dict_setitem=dict.__setitem__): # od.__setitem__(i, y) <==> od[i]=y # Setting a new item creates a new link which goes at the end of the linked # list, and the inherited dictionary is updated with the new key/value pair. if key not in self: root = self.__root last = root[0] last[1] = root[0] = self.__map[key] = [last, root, key] 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 is # then removed by updating the links in the predecessor and successor nodes. dict_delitem(self, key) link_prev, link_next, key = self.__map.pop(key) link_prev[1] = link_next link_next[0] = link_prev def __iter__(self): # od.__iter__() <==> iter(od) root = self.__root curr = root[1] while curr is not root: yield curr[2] curr = curr[1] def __reversed__(self): # od.__reversed__() <==> reversed(od) root = self.__root curr = root[0] while curr is not root: yield curr[2] curr = curr[0]
[docs] def clear(self): # od.clear() -> None. Remove all items from od. try: for node in self.__map.itervalues(): del node[:] root = self.__root root[:] = [root, root, None] self.__map.clear() except AttributeError: pass dict.clear(self)
[docs] 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[0] link_prev = link[0] link_prev[1] = root root[0] = link_prev else: link = root[1] link_next = link[1] root[1] = link_next link_next[0] = root key = link[2] del self.__map[key] value = dict.pop(self, key) return key, value
# -- the following methods do not depend on the internal structure --
[docs] def keys(self): # od.keys() -> list of keys in od return list(self)
[docs] def values(self): # od.values() -> list of values in od return [self[key] for key in self]
[docs] def items(self): # od.items() -> list of (key, value) pairs in od return [(key, self[key]) for key in self]
[docs] def iterkeys(self): # od.iterkeys() -> an iterator over the keys in od return iter(self)
[docs] def itervalues(self): # od.itervalues -> an iterator over the values in od for k in self: yield self[k]
[docs] def iteritems(self): # od.iteritems -> an iterator over the (key, value) items in od for k in self: yield (k, self[k])
[docs] def update(*args, **kwds): # od.update(E, **F) -> None. Update od from dict/iterable E and F. # If E is a dict instance, does: for k in E: od[k] = E[k] # If E has a .keys() method, does: for k in E.keys(): od[k] = E[k] # Or if E is an iterable of items, does: for k, v in E: od[k] = v # In either case, this is followed by: for k, v in F.items(): od[k] = v if len(args) > 2: raise TypeError('update() takes at most 2 positional ' 'arguments (%d given)' % (len(args),)) elif not args: raise TypeError('update() takes at least 1 argument (0 given)') self = args[0] # Make progressively weaker assumptions about "other" other = () if len(args) == 2: other = args[1] if isinstance(other, dict): for key in other: self[key] = other[key] elif hasattr(other, 'keys'): for key in other.keys(): self[key] = other[key] else: for key, value in other: self[key] = value for key, value in kwds.items(): self[key] = value
__update = update # let subclasses override update without breaking __init__ __marker = object()
[docs] 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
[docs] 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
def __repr__(self, _repr_running={}): # od.__repr__() <==> repr(od) call_key = id(self), _get_ident() if call_key in _repr_running: return '...' _repr_running[call_key] = 1 try: if not self: return '%s()' % (self.__class__.__name__,) return '%s(%r)' % (self.__class__.__name__, self.items()) finally: del _repr_running[call_key] def __reduce__(self): # Return state information for pickling items = [[k, self[k]] for k in self] inst_dict = vars(self).copy() for k in vars(OrderedDict()): inst_dict.pop(k, None) if inst_dict: return (self.__class__, (items,), inst_dict) return self.__class__, (items,)
[docs] def copy(self): # od.copy() -> a shallow copy of od return self.__class__(self)
[docs] @classmethod def fromkeys(cls, iterable, value=None): # OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S # and values equal to v (which defaults to None). d = cls() for key in iterable: d[key] = value return d
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 len(self)==len(other) and self.items() == other.items() return dict.__eq__(self, other) def __ne__(self, other): return not self == other # -- the following methods are only used in Python 2.7 --
[docs] def viewkeys(self): # od.viewkeys() -> a set-like object providing a view on od's keys return KeysView(self)
[docs] def viewvalues(self): # od.viewvalues() -> an object providing a view on od's values return ValuesView(self)
[docs] def viewitems(self): # od.viewitems() -> a set-like object providing a view on od's items return ItemsView(self)