![]() _eq_ ( self, other ) def _ne_ ( self, other ): return not self = other # - the following methods are only used in Python 2.7 - def viewkeys ( self ): "od.viewkeys() -> a set-like object providing a view on od's keys" return KeysView ( self ) def viewvalues ( self ): "od.viewvalues() -> an object providing a view on od's values" return ValuesView ( self ) def viewitems ( self ): "od. ''' if isinstance ( other, OrderedDict ): return len ( self ) = len ( other ) and self. ![]() ![]() So whenever your look for a key, the lookup goes through the mapping, but whenever you want to list the keys or iterate over the container, you go through the list of keys to ensure they are processed in the order they were inserted in. Comparison to another OD is order-sensitive while comparison to a regular mapping is order-insensitive. OrderedDict stores both a mapping of the keys to their values and a list of keys that is used to preserve the order of them. ''' d = cls () for key in iterable : d = value return d def _eq_ ( self, other ): '''od._eq_(y) od=y. _class_ ( self ) def fromkeys ( cls, iterable, value = None ): '''OD.fromkeys(S) -> New ordered dictionary with keys from S and values equal to v (which defaults to None). _class_, ( items ,) def copy ( self ): 'od.copy() -> a shallow copy of od' return self. ![]() _class_, ( items ,), inst_dict ) return self. pop ( k, None ) if inst_dict : return ( self. copy () for k in vars ( OrderedDict ()): inst_dict. items ()) finally : del _repr_running def _reduce_ ( self ): 'Return state information for pickling' items = ] for k in self ] inst_dict = vars ( self ). _map = ): 'od._repr_() repr(od)' call_key = id ( self ), _get_ident () if call_key in _repr_running : return '.' _repr_running = 1 try : if not self : return ' %s ()' % ( self. _root = root = # sentinel node root = self. ''' if len ( args ) > 1 : raise TypeError ( 'expected at most 1 arguments, got %d ' % len ( args )) try : self. Signature is the same as for regular dictionaries, but keyword arguments are not recommended because their insertion order is arbitrary. def _init_ ( self, * args, ** kwds ): '''Initialize an ordered dictionary. # Each link is stored as a list of length three. # The sentinel element never gets deleted (this simplifies the algorithm). # The circular doubly linked list starts and ends with a sentinel element. # The internal self._map dictionary maps keys to links in a doubly linked list. # Big-O running times for all methods are the same as for regular dictionaries. # The inherited dict provides _getitem_, _len_, _contains_, and get. try : from thread import get_ident as _get_ident except ImportError : from dummy_thread import get_ident as _get_ident try : from _abcoll import KeysView, ValuesView, ItemsView except ImportError : pass class OrderedDict ( dict ): 'Dictionary that remembers insertion order' # An inherited dict maps keys to values. # Passes Python2.7's test suite and incorporates all the latest updates. 21:39:06 INFO (MainThread) Timer:startingĪutomation/update_gps.# Backport of OrderedDict() class that runs on Python 2.4, 2.5, 2.6, 2.7 and pypy. 21:39:06 INFO (MainThread) Starting Home Assistant 21:39:06 ERROR (MainThread) Error loading /config/configuration.yaml: invalid key: "OrderedDict()" In "/config/automation/update_gps.yaml", line 26, column 0 21:39:06 ERROR (SyncWorker_0) invalid key: "OrderedDict()" HA will freeze on restart if this is in my automation.yaml The conditions are my attempt to not update if the GPS is not available or if I have not moved more than 20km away. Occasionally, GPS is not available depending on where I am at the time. I travel full-time in an RV and move on any given day so trying to set it up to update every day at 1 am. I am trying to set up an automation to use the new set_location service.
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