?Ki1SrSSKrSSKrSSKrSSKrSSKrSSKrSSKrSSKrSSK r SSK r SSK r SSK r SSK r SSKrSSKJr SSKJr SSKJrJrJr SSKJr SSKJr SS KJrJrJrJrJ r J!r! SS K"J#r#J$r$ \!RJ"\&5r'S \(S \(4S jr)\ RT"5r+Sr,S \\(\RZ4S S4Sjr.S\\(\RZ4S \/\(4Sjr0S\\(\RZ4S \/\(4Sjr1S\\(\RZ4S \/\(4Sjr2S\\(\RZ4S \/\(4Sjr3SS.S\(S\\(\RZ4S\4S \54Sjjr6S2S\\(\RZ4S\(S\\\(\RZ4S\4S\\4S \\7\(\(4S!\\\4\(4S"\\(S#\4S$\\(S%\\(S \(4S&jjr8S2S'\(S\\(\RZ4S\\\(\RZ4S\4S\\4S \\7\(\(4S!\\\4\(4S"\\(S#\4S$\\(S(\\(S \54S)jjr9S3S*\S+\\(\RZ4S,\\7S \/\(4S-jjr:S.r;S/r<S4S0jr=S5S1jr>g)6z3Utilities to dynamically load objects from the Hub.N)Path) ModuleType)AnyOptionalUnion)try_to_load_from_cache)version)HF_MODULES_CACHE TRANSFORMERS_DYNAMIC_MODULE_NAME cached_fileextract_commit_hashis_offline_modelogging)VersionComparisonsplit_package_versionnamereturncfURSS5RSS5nU(aUSR5(aSU3n[R"U5(a[R SUSUS 35 U$UR 5(d[R SUSUS 35 U$) a Tries to sanitize a module name so that it can be used as a Python module. The following transformations are applied: 1. Replace `.` in module names with `_dot_`. 2. Replace `-` in module names with `_hyphen_`. 3. If the module name starts with a digit, prepend it with `_`. 4. Warn if the sanitized name is a Python reserved keyword or not a valid identifier. If the input name is already a valid identifier, it is returned unchanged. ._dot_-_hyphen_r_zThe module name z (originally z\) is a reserved keyword in Python. Please rename the original module to avoid import issues.z]) is not a valid Python identifier. Please rename the original module to avoid import issues.)replaceisdigitkeyword iskeywordloggerwarning isidentifier)rnew_names c/var/www/html/dynamic-report/venv/lib/python3.13/site-packages/transformers/dynamic_module_utils.py_sanitize_module_namer$3s"||C)11#zBHHQK''))xj>""xj dV[U[R5(ag[U[R5(aURn[R "U5Hn[U[R 5(dM$[URSS5nURS5(aURS5(d'[T RRU5(dM g O[U[R5(aLURH;nUR R#S5SnU(dM*TR%U5 M= Ov[U[R&5(aWUR(S:XaGUR*(a6UR*R#S5SnU(aTR%U5 [R,"U5H nT"U5 M g)Nid available is_flash_attnrr) isinstanceastTryIftestwalkCallgetattrfuncendswith startswithhasattrutils import_utilsImportnamesrsplitadd ImportFromlevelmoduleiter_child_nodes) noderccondition_nodecheck_functionalias top_modulechildimported_modulesrecursive_look_for_imports transformerss r#r|/get_imports..recursive_look_for_importssb dCGG $ $  cff % %99D"%((4.nchh77%,^-@-@$%KN&// <<*55oFF"<#5#5#B#BNSS#1cjj ) )"ZZ--c215 :$((4$cnn - -zzQ4;;![[..s3A6 $((4))$/E &u -0r%)r@rArFtransformers.utilsr`parsesorted)rXrGrHtreer{r|r}s @@@r# get_importsrs` h )Q&&( *u.B 99W Dt$ " ##U * )s A&& A4c[U5n/nUHn[R"U5 M [U5S:a0[SSRU5SS RU5S 35e[U5$![aGn[R SUSU35 S[ U5;aURU5 SnAMeSnAff=f) a Check if the current Python environment contains all the libraries that are imported in a file. 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Returns: `typing.Type`: The class looked for. rLrN)locationr%c3Z# UH!n[U5UR5-v M# g7fN)bytes read_bytes).0rGs r# &get_class_in_module..,s"2cVbQR58alln3LVbs)+__transformers_module_hash__r\)r-r+normpath removesuffixrseprr _HF_REMOTE_CODE_LOCKr*modulespopr1r2getutilspec_from_file_locationrmaprWhashlibsha256r hexdigestmodule_from_specrfloader exec_moduler) rrTrrr: cached_module module_spec module_files module_hashrss r#get_class_in_moduler sT& 77  K (D   U #D << S )D-.>#((2cVb2c*cdnnp   ^^44[AF &CKK "F 692 >+ M    * *6 22= /v*-   s 3E G  Gpretrained_model_name_or_path cache_dirforce_downloadresume_downloadproxiestokenrevisionlocal_files_only repo_type _commit_hashc  U RSS5n U b+[R"S[5 Ub [ S5eU n[ 5(aU(d[ RS5 Sn[U5n[RRU5n U (a)[[RRU55nOQ[RRR[![UR#S555n[%XX*U S9n/n['UUUUUUUUUU U S 9 nU (dWU:waUR)U5 [-U5n[.[RR-U-n[1U5 [3[45U- nU[[RRU55:XGaCUU- R75(a([8R:"U[UU- 55(dLUU- R<R?SSS 9 [@RB"UUU- 5 [DRF"5 UHn[3U5R<US3- n[RRUU5nUU- R75(a*[8R:"U[UU- 55(aM[@RB"UUU- 5 [DRF"5 M GO([IUU 5nUU- nU[RR-U-n[RRUU5n[1[3U5R<5 UU- R75(d/[@RB"UUU- 5 [DRF"5 UHlnUU- R<US3- R75(aM-[KU[3U5R<U- S3UUUUUUUUS9 UR)US35 Mn [MU5S:aUUcRSRUVs/sHnSU3PM sn5nU cSOU S3nSUU3n[ ROSUSUS35 [RRUU5$![*a [ RS US US 35 ef=fs snf)a& Prepares Downloads a module from a local folder or a distant repo and returns its path inside the cached Transformers module. Args: pretrained_model_name_or_path (`str` or `os.PathLike`): This can be either: - a string, the *model id* of a pretrained model configuration hosted inside a model repo on huggingface.co. - a path to a *directory* containing a configuration file saved using the [`~PreTrainedTokenizer.save_pretrained`] method, e.g., `./my_model_directory/`. module_file (`str`): The name of the module file containing the class to look for. cache_dir (`str` or `os.PathLike`, *optional*): Path to a directory in which a downloaded pretrained model configuration should be cached if the standard cache should not be used. force_download (`bool`, *optional*, defaults to `False`): Whether or not to force to (re-)download the configuration files and override the cached versions if they exist. resume_download: Deprecated and ignored. All downloads are now resumed by default when possible. Will be removed in v5 of Transformers. proxies (`dict[str, str]`, *optional*): A dictionary of proxy servers to use by protocol or endpoint, e.g., `{'http': 'foo.bar:3128', 'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request. token (`str` or *bool*, *optional*): The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated when running `hf auth login` (stored in `~/.huggingface`). revision (`str`, *optional*, defaults to `"main"`): The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any identifier allowed by git. local_files_only (`bool`, *optional*, defaults to `False`): If `True`, will only try to load the tokenizer configuration from local files. repo_type (`str`, *optional*): Specify the repo type (useful when downloading from a space for instance). Passing `token=True` is required when you want to use a private model. Returns: `str`: The path to the module inside the cache. use_auth_tokenNrThe `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.V`token` and `use_auth_token` are both specified. Please set only the argument `token`.z+Offline mode: forcing local_files_only=TrueT/)rrr) rrrrrrrrrzCould not locate the z inside r)parentsr(rL)rrrrrrrrr z- r\zs/zhttps://huggingface.co/z9A new version of the following files was downloaded from z: z . Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.)(rwarningswarn FutureWarning ValueErrorrrinforNr-r+isdirr$basenamerrrrorr r,OSErrorrr r8rr r/filecmpcmpr7mkdirshutilcopyr1r2rget_cached_module_filerOr )rr:rrrrrrrrrdeprecated_kwargsris_local submoduler new_filesresolved_module_filemodules_neededfull_submodulesubmodule_path module_neededmodule_needed_file commit_hashfull_submodule_module_file_pathrG repo_type_strurls r#rr<s|'**+;TBN!  A    uv v!1 AB%((E$F!ww}}:;H)"''*:*:;X*YZ GGKK$$S)>@]@c@cdg@h%ij . ))nw I* ) )+-% M-AA   [ )##78N6 CiON.)*+n M (+5'"''++5 C*,'',,~{*S'd#BCJJK,4466 KK,n{.J K  ' ' )+M#k199}oS Calling this function will execute the code in the module file found locally or downloaded from the Hub. It should therefore only be called on trusted repos. Args: class_reference (`str`): The full name of the class to load, including its module and optionally its repo. pretrained_model_name_or_path (`str` or `os.PathLike`): This can be either: - a string, the *model id* of a pretrained model configuration hosted inside a model repo on huggingface.co. - a path to a *directory* containing a configuration file saved using the [`~PreTrainedTokenizer.save_pretrained`] method, e.g., `./my_model_directory/`. This is used when `class_reference` does not specify another repo. module_file (`str`): The name of the module file containing the class to look for. class_name (`str`): The name of the class to import in the module. cache_dir (`str` or `os.PathLike`, *optional*): Path to a directory in which a downloaded pretrained model configuration should be cached if the standard cache should not be used. force_download (`bool`, *optional*, defaults to `False`): Whether or not to force to (re-)download the configuration files and override the cached versions if they exist. resume_download: Deprecated and ignored. All downloads are now resumed by default when possible. Will be removed in v5 of Transformers. proxies (`dict[str, str]`, *optional*): A dictionary of proxy servers to use by protocol or endpoint, e.g., `{'http': 'foo.bar:3128', 'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request. token (`str` or `bool`, *optional*): The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated when running `hf auth login` (stored in `~/.huggingface`). revision (`str`, *optional*, defaults to `"main"`): The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any identifier allowed by git. local_files_only (`bool`, *optional*, defaults to `False`): If `True`, will only try to load the tokenizer configuration from local files. repo_type (`str`, *optional*): Specify the repo type (useful when downloading from a space for instance). code_revision (`str`, *optional*, defaults to `"main"`): The specific revision to use for the code on the Hub, if the code leaves in a different repository than the rest of the model. It can be a branch name, a tag name, or a commit id, since we use a git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any identifier allowed by git. Passing `token=True` is required when you want to use a private model. Returns: `typing.Type`: The class, dynamically imported from the module. Examples: ```python # Download module `modeling.py` from huggingface.co and cache then extract the class `MyBertModel` from this # module. cls = get_class_from_dynamic_module("modeling.MyBertModel", "sgugger/my-bert-model") # Download module `modeling.py` from a given repo and cache then extract the class `MyBertModel` from this # module. cls = get_class_from_dynamic_module("sgugger/my-bert-model--modeling.MyBertModel", "sgugger/another-bert-model") ```rNrrz--rrL)rrrrrrrrr)rrrrrrorr)rrrrrrrrrrrkwargsrrepo_idr:r final_modules r#get_class_from_dynamic_modulerstZZ 0$7N!  A    uv v #2#8#8#> /-33C8K!>!I )e%') L zT RRnURS5SnUST RR3nSU;aSnSnT RRR S5(agUST RR3n[ T SS5b=[ T S5nURnURS5SnUSUR3nOUST RR3nXE4n[ U[5(a%URS05n X9T R'XS'g[ USS5bX0RT R'gT RU0Ul g)Nr TokenizerFastslow_tokenizer_classauto_map) __class__ __module__ro__name__rhrfr_dictr _auto_classr) _config module_name last_module full_namerfast_tokenizer_classslow_tokenizerslow_tok_module_namelast_slow_tok_modulerrs r#_set_auto_map_in_config3custom_object_save.._set_auto_map_in_configsomm.. !'',R0 "m1S]]%;%;$<= ) ##' #' }}%%..v66*5a 8N8N7O'P$3 6=I%,S2H%IN+9+D+D(+?+E+Ec+J2+N(.B-C1^E\E\D]+^(+6a 8N8N7O'P$-DI gt $ ${{:r2H(1S__ %"*J  Wj$ / ;09  S__ - #;G r%)rrr r_rEtupler*r__file__rrrrr,rW) rrrrcfgresult object_file dest_file needed_files ` r#custom_object_saverks  ~~#.se4x@  <@&4-((C #C (  ' F++cnn-66KV [ 1 6 67I KK ' MM)1= LD$5$:$:;  K+ i > Mr%c[S5e)NzLoading this model requires you to execute custom code contained in the model repository on your local machine. Please set the option `trust_remote_code=True` to permit loading of this model.)r)signumframes r#_raise_timeout_errorr s  c r%cUcdUb SUSUSUS3nOT[RRU5(a'SUS[RRU5S3nO SUSUS3nUGcU(aSnGOU(a[S :aSn[ R "[ R [5n[ R"[5 UcC[US US 35nUR5S ;aS nOUR5S;aSnUcMC[ R"S 5 Ub;[ R "[ R U5 [ R"S 5 OU(a [SS5 U(aU(dU(d[US US35eU$![a [US US35ef=f!Ub<[ R "[ R U5 [ R"S 5 ff=f)a Resolves the `trust_remote_code` argument. If there is remote code to be loaded, the user must opt-in to loading it. Args: trust_remote_code (`bool` or `None`): User-defined `trust_remote_code` value. model_name (`str`): The name of the model repository in huggingface.co. has_local_code (`bool`): Whether the model has local code. has_remote_code (`bool`): Whether the model has remote code. error_message (`str`, *optional*): Custom error message to display if there is remote code to load and the user didn't opt-in. If unset, the error message will be regarding loading a model with custom code. Returns: The resolved `trust_remote_code` value. NzThe repository z% references custom code contained in zm which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/z . zt contains custom code which must be executed to correctly load the model. You can inspect the repository content at z contains custom code which must be executed to correctly load the model. You can inspect the repository content at https://hf.co/Frz9 You can inspect the repository content at https://hf.co/z. You can avoid this prompt in future by passing the argument `trust_remote_code=True`. Do you wish to run the custom code? [y/N] )yesy1T)non0r\zS. Please pass the argument `trust_remote_code=True` to allow custom code to be run.) r-r+rabspathTIME_OUT_REMOTE_CODEsignalSIGALRMr alarminputlower Exceptionr)trust_remote_code model_namehas_local_codehas_remote_code error_message upstream_repoprev_sig_handleranswers r#resolve_trust_remote_coder#s.  $!*-RS`Rab,,9?$@  WW]]: & &!*. ggooj9:$@ "*.,,6B?BSSW X[_[d[dek[l l  E% $ 7* ,6) > 7 %%::   -?@A     spFD4FEFEF2FFFF F#"F#) NFNNNNFNNrr()zrequirements.txt)?__doc__r`rrr1importlib.metadataimportlib.utilrr-rBrrr* threadingrpathlibrtypesrtypingrrrhuggingface_hubr packagingr rkr r r rrrutils.import_utilsrr get_loggerrrrNr$Lockrr4PathLiker8rErJrWrrbooltyperrrrrr rr#r9r*r%r#rIs:  ''2I   H %B!~~' & &c2;;&6 7&D&,'eC,<&='$s)'* 5bkk1A+B tCy @4$%R[[ 014$d3i4$n *E#r{{"23 *S *N -+-+sBKK'(-+ -+  -+f48 &*(,(,""#"&o5#(bkk)9#:o5o5c2;;./0o5 o5 d^ o5 d38n % o5 E$)$ %o5smo5o5}o53-o5 o5j48 &*(,(,""##'zVzV#(bkk)9#:zVc2;;./0zV zV d^ zV d38n % zV E$)$ %zVsmzVzV}zVC=zV zVzICIsBKK/?)@I(SW.IdhildmIXgkRj5 r%