2Vh%#xddlZddlZddlZddlZddlmZddlmZddlmZddl m Z ddl m Z ejjejjeddejjdd fZe d d Ze d d Ze ddZdZdZdZddZdZy)Nwraps)backend)tree) keras_export) global_statez.. tensorflowpythonz'keras.config.enable_traceback_filteringc0tjddy)aTurn on traceback filtering. Raw Keras tracebacks (also known as stack traces) involve many internal frames, which can be challenging to read through, while not being actionable for end users. By default, Keras filters internal frames in most exceptions that it raises, to keep traceback short, readable, and focused on what's actionable for you (your own code). See also `keras.config.disable_traceback_filtering()` and `keras.config.is_traceback_filtering_enabled()`. If you have previously disabled traceback filtering via `keras.config.disable_traceback_filtering()`, you can re-enable it via `keras.config.enable_traceback_filtering()`. traceback_filteringTNrset_global_attributeO/home/dcms/DCMS/lib/python3.12/site-packages/keras/src/utils/traceback_utils.pyenable_traceback_filteringrs$%%&;TBrz(keras.config.disable_traceback_filteringc0tjddy)aTurn off traceback filtering. Raw Keras tracebacks (also known as stack traces) involve many internal frames, which can be challenging to read through, while not being actionable for end users. By default, Keras filters internal frames in most exceptions that it raises, to keep traceback short, readable, and focused on what's actionable for you (your own code). See also `keras.config.enable_traceback_filtering()` and `keras.config.is_traceback_filtering_enabled()`. If you have previously disabled traceback filtering via `keras.config.disable_traceback_filtering()`, you can re-enable it via `keras.config.enable_traceback_filtering()`. r FNr rrrdisable_traceback_filteringr's$%%&;UCrz+keras.config.is_traceback_filtering_enabledc.tjddS)a%Check if traceback filtering is enabled. Raw Keras tracebacks (also known as stack traces) involve many internal frames, which can be challenging to read through, while not being actionable for end users. By default, Keras filters internal frames in most exceptions that it raises, to keep traceback short, readable, and focused on what's actionable for you (your own code). See also `keras.config.enable_traceback_filtering()` and `keras.config.disable_traceback_filtering()`. If you have previously disabled traceback filtering via `keras.config.disable_traceback_filtering()`, you can re-enable it via `keras.config.enable_traceback_filtering()`. Returns: Boolean, `True` if traceback filtering is enabled, and `False` otherwise. r T)rget_global_attributerrris_traceback_filtering_enabledr<s,  , ,-BD IIrc&tD]}||vsyy)NFT)_EXCLUDED_PATHS)fname exclusions r include_framerUs!$   rcLd}ttj|}t|D]G\}}t |j j s&tj|||j|}I|,|r*|d\}}tj|||j|}|S)zFIterate through traceback frames and return a new, filtered traceback.N) list tracebackwalk_tbreversedrf_code co_filenametypes TracebackTypef_lasti)tblast_tbtb_listfline_nos r_process_traceback_framesr-\sG9$$R()Gw'J 7 -- .))'1aiiIGJ7R[ 7%%gq!))WE Nrc.tfd}|S)zFFilter out Keras-internal traceback frames in exceptions raised by fn.cts|i|Sd} |i|~S#t$r,}t|j}|j |dd}~wwxYw#~wxYwN)r Exceptionr- __traceback__with_traceback)argskwargs filtered_tbefns r error_handlerz'filter_traceback..error_handlernsp-/t&v& &  t&v&  :3AOODK"";/T 9  : s  A'AAAAr)r8r9s` rfilter_tracebackr:ks# 2Y   rcvtjdk(rddlmndtfd}|S)aAdd information about call argument values to an error message. Arguments: fn: Function to wrap. Exceptions raised by the this function will be re-raised with additional information added to the error message, displaying the values of the different arguments that the function was called with. object_name: String, display name of the class/function being called, e.g. `'layer "layer_name" (LayerClass)'`. Returns: A wrapped version of `fn`. r r)errorsNc lts |i|Sd}d}  |i|~~S#t$r}t|dr|tj } |j |i|}n#t $r|wxYwg}t|jjD]y}|j|jvr2tjt|j|j}n |j}|j!d|jd|{|rdj#|} #t%| j&r |j(}n|j*r|j*d}nd} r n j,} d| d|d | d |} It%| j&r3|j/|j0|j2||j4} n- |j/|} n#t $rt7|} YnwxYwd | _n|} | j;|j<dd}~wwxYw#~~wxYw) N_keras_call_info_injectedu • = rz#Exception encountered when calling z. z Arguments received by z: T)rr1hasattrinspect signaturebind TypeErrorr parametersvaluesname argumentsr map_structureformat_argument_valuedefaultappendjoin isinstanceOpErrormessager4__name__ __class__node_defop error_code RuntimeErrorr>r3r2)r4r5rDbound_signaturer7arguments_contextargvaluerR display_namenew_er8 object_name tf_errorss rr9z8inject_argument_info_in_traceback..error_handlersS-/t&v& & > t&v&xy9 Bq56))"-I "0)..$"A&"A   !# I00779: F88888 ..-'11#((;E  KKE!((6#((1UG)DE F!$(II.?$@!(Z9;L;L-MiiGVV ffQiG G1<+"++!N 9,H%Y'--9N#()+(Z9;L;L-MKK ADD'1<<PE6!" G 4$6!-W 5637/&&q7T As9 Bvs]# H,#H'A$#H'$ A00E$H'G'&H''G>;H'=G>>)H''H,,H//H3)rr r<r)r8r_r9r`s`` @r!inject_argument_info_in_tracebackras=L(2  2YD D L rcztj|rtjdk(rd}nPtjdk(rd}n6tjdk(rd}ntjdk(rd}nd }|d |jd tj|jd St |S) Nr z tf.Tensorjaxz jnp.ndarraytorchz torch.Tensornumpyz np.ndarrayarrayz(shape=z, dtype=))r is_tensorshapestandardize_dtypedtyperepr)r\ tensor_clss rrLrLs ??  ,$J __ % '&J __ ' )'J __ ' )%J Jl'%++/..u{{;rvs  -1GGOOBGGLL467GGLLx( 78C9C(89D:D(;<J=J0 ,Zzr