VhVUdZddlZddlmZddlmZGddZeZeed<y) a This module provides thread-safe code context management for TorchDynamo using weak references. The CodeContextDict class maintains a mapping between Python code objects and their associated context data, using weak references to automatically clean up entries when code objects are garbage collected. This prevents memory leaks while allowing context data to be associated with code objects throughout their lifecycle. Key features: - Thread-safe context storage and retrieval - Automatic cleanup using weak references - Safe context management for Python code objects - Memory-leak prevention Example usage: code_obj = compile('x = 1', '', 'exec') # Store context context = code_context.get_context(code_obj) context['metadata'] = {'optimized': True} # Retrieve context if code_context.has_context(code_obj): ctx = code_context.get_context(code_obj) # Use context data... # Remove context ctx = code_context.pop_context(code_obj) N)Any)ExactWeakKeyDictionaryceZdZd dZdej defdZdej dee e ffdZ dej dee e ffdZ d dZ y) CodeContextDictreturnNc"t|_yN)r code_contextselfs J/home/dcms/DCMS/lib/python3.12/site-packages/torch/_dynamo/code_context.py__init__zCodeContextDict.__init__&s 4J4Lcodec||jvSr )r )r rs r has_contextzCodeContextDict.has_context)st((((rcb|jj|}|i}||j|<|Sr )r getr rctxs r get_contextzCodeContextDict.get_context,s7##D) ;C&)D  d # rcp|j|}|jjt||Sr )rr _remove_ididrs r pop_contextzCodeContextDict.pop_context3s/t$ $$RX. rc8|jjyr )r clearr s rrzCodeContextDict.clear8s !r)rN)__name__ __module__ __qualname__rtypesCodeTypeboolrdictstrrrrrrrrr%sbM))4)4S>4S> "rrr ) __doc__r"typingrutilsrrr __annotations__r'rrr,s.< )"".!0 1 o1r