a Sic @s^dZddlZddlZddlZddlZddlZddlmmZ ddl m Z ddZ ddZdS)z5Saving utilities to support Python's Pickle protocol.N)savec Csdt}t|}tj|dd}|D]}tjj ||}| |}tjj t j ||r0tjj|d$}|||Wdq01s0Yq0Wdn1s0Yt|}tjj||S)zReconstruct a Model from the output of `serialize_model_as_bytecode`. Args: serialized_model: (np.array) return value from `serialize_model_as_bytecode`. Returns: keras.Model: Keras Model instance. ram://rfileobjmodewbN)uuiduuid4ioBytesIOtarfileopengetnamestfgfilejoin getmembermakedirsospathdirnameisfileGFilewrite extractfileread save_module load_modelrmtree) Zserialized_modeltemp_dirbarchivename dest_pathmemberfmodelr(U/var/www/html/django/DPS/env/lib/python3.9/site-packages/keras/saving/pickle_utils.pydeserialize_model_from_bytecodes    R r*c CsDdt}||t}tj|dd}tjj |D]\}}}|D]0}tjj ||}t |} tj | _ || qL|D]r} tjj || }tjj|d>} tj tj||d} | | _|j| | dWdq1s0Yqq>Wdn1s0Ytjj||dtt|fS) zConvert a Keras Model into a bytecode representation for pickling. Args: model: (tf.keras.Model) Keras Model instance. Returns: tuple: tuple of arguments that can be sent to `deserialize_from_bytecode`. rwrrb)r#)tarinforNr)r r rr r r rrrwalkrTarInfoDIRTYPEtypeaddfilerrrrelpathsizerseeknumpyasarray memoryviewr) r'r r!r"rootdirs filenamesrr$tfilenamer&infor(r(r)serialize_model_as_bytecode4s*      P r?)__doc__r rr r r6tensorflow.compat.v2compatv2r keras.savingrrr*r?r(r(r(r)s