2VhpddlZddlmZGddejjj ZdZy)N)trackingc"eZdZdZfdZxZS)KerasAutoTrackablezManages dependencies on other objects with Keras tracking. Similar to TF AutoTrackable, but disabling tracking is based on tracking within Keras. This serves as an interface between Keras tracking and TF tracking. c t|||ury t|ddrt|||}t|||y#t$rY7wxYw)z$Support self.foo = trackable syntax.N_self_setattr_trackingT) trackablevaluename)getattrAttributeErrorsticky_attribute_assignmentsuper __setattr__)selfr r __class__s V/home/dcms/DCMS/lib/python3.12/site-packages/keras/src/backend/tensorflow/trackable.pyrzKerasAutoTrackable.__setattr__sd tT"e+, 414 8/e$E D%(   s? A  A )__name__ __module__ __qualname____doc__r __classcell__)rs@rrrs ) )rcvt|tjtjtjfr't |dr|j j|tjs|St|tjjjr|j||d|S)aqAdds dependencies, called from __setattr__. Args: trackable: The object to add dependencies to (generally the one having an attribute assigned). name: The attribute name being assigned. value: The value being assigned. Not necessarily a trackable object. Returns: The value which should be stored in the attribute. _trackedT)r overwrite) isinstancer TrackedList TrackedDict TrackedSethasattrrappendis_tracking_enabledtf __internal__ Trackable_track_trackable)rr r s rr r s $$h&:&:Hr+s,$)11??)2r