o h]k@sdZddlZddlZddlZddlZddlZddlZddlZddlZddl Z ddl m Z ddlm Z m Z mZmZmZddlmZddlmZmZmZmZmZmZeeZdd Zd eeejffd d Z d eeejfdeefddZ!d eeejfdeefddZ"deeejfdeefddZ#deeejfdeefddZ$dedeeejfdej%fddZ&         d7deeejfd edeeeejfde'd e'd!ee eefd"eee'efd#eed$e'd%eed&eedefd'd(Z(         d7d)edeeejfdeeeejfde'd e'd!ee eefd"eee'efd#eed$e'd%eed*eedej%fd+d,Z)d8d-e d.eeejfd/ee deefd0d1Z*d2d3Z+d4Z,d5d6Z-dS)9z3Utilities to dynamically load objects from the Hub.N)Path)AnyDictListOptionalUnion)try_to_load_from_cache)HF_MODULES_CACHE TRANSFORMERS_DYNAMIC_MODULE_NAME cached_fileextract_commit_hashis_offline_modeloggingcCsTttjvrdStjttjtddttd}|s(|t dSdS)z_ Creates the cache directory for modules with an init, and adds it to the Python path. NTexist_ok __init__.py) r syspathappendosmakedirsrexiststouch importlibinvalidate_caches) init_pathrW/var/www/html/ai/venv/lib/python3.10/site-packages/transformers/dynamic_module_utils.pyinit_hf_modules+s    rnamecCs`ttt|}|jst|jtj|dd|d}|s.| t dSdS)z Creates a dynamic module in the cache directory for modules. Args: name (`str` or `os.PathLike`): The name of the dynamic module to create. TrrN) rrr resolveparentrcreate_dynamic_modulerrrrr)r dynamic_module_pathrrrrr#;s   r# module_filereturncCsjt|ddd }|}Wdn1swYtjd|tjd}|tjd|tjd7}tt|S)z Get the list of modules that are relatively imported in a module file. Args: module_file (`str` or `os.PathLike`): The module file to inspect. Returns: `List[str]`: The list of relative imports in the module. rutf-8encodingNz^\s*import\s+\.(\S+)\s*$flagsz^\s*from\s+\.(\S+)\s+import)openreadrefindall MULTILINElistset)r%fcontentrelative_importsrrrget_relative_importsQs   r7csd}|g}g|sBg}|D] }|t|q t|jfdd|D}fdd|D}dd|D}t|dk}||r S)a Get the list of all files that are needed for a given module. Note that this function recurses through the relative imports (if a imports b and b imports c, it will return module files for b and c). Args: module_file (`str` or `os.PathLike`): The module file to inspect. Returns: `List[str]`: The list of all relative imports a given module needs (recursively), which will give us the list of module files a given module needs. Fcsg|]}t|qSr)str).0m) module_pathrr }z-get_relative_import_files..csg|]}|vr|qSrrr9r4)all_relative_importsrrr<~r=cSsg|]}|dqS).pyrr>rrrr<r)extendr7rr"len)r% no_changefiles_to_check new_importsr4new_import_filesr)r?r;rget_relative_import_filesfs     rHfilenamecCst|ddd }|}Wdn1swYtjdd|tjtjBd}tjd|tjd}|tjd |tjd7}d d |D}tt|S) a Extracts all the libraries (not relative imports this time) that are imported in a file. Args: filename (`str` or `os.PathLike`): The module file to inspect. Returns: `List[str]`: The list of all packages required to use the input module. r'r(r)Nz \s*try\s*:\s*.*?\s*except\s*.*?:r+z^\s*import\s+(\S+)\s*$z^\s*from\s+(\S+)\s+importcSs$g|]}|ds|ddqS).r) startswithsplit)r9imprrrr<s$zget_imports..) r-r.r/subr1DOTALLr0r2r3)rIr4r5importsrrr get_importss  rRc Csvt|}g}|D]}zt|Wqty||Yqwt|dkr7tdd|dd|dt|S)a. Check if the current Python environment contains all the libraries that are imported in a file. Will raise if a library is missing. Args: filename (`str` or `os.PathLike`): The module file to check. Returns: `List[str]`: The list of relative imports in the file. rz\This modeling file requires the following packages that were not found in your environment: z, z. Run `pip install  `)rRr import_module ImportErrorrrCjoinr7)rIrQmissing_packagesrNrrr check_importss"   rY class_namer;cCs$|tjjd}t|}t||S)a, Import a module on the cache directory for modules and extract a class from it. Args: class_name (`str`): The name of the class to import. module_path (`str` or `os.PathLike`): The path to the module to import. Returns: `typing.Type`: The class looked for. rK)replacerrseprrUgetattr)rZr;modulerrrget_class_in_modules  r_Fpretrained_model_name_or_path cache_dirforce_downloadresume_downloadproxiestokenrevisionlocal_files_only repo_type _commit_hashc  Ks| dd} | durtdt|durtd| }tr&|s&tdd}t|}t j |} | r9t j |}n| dt j j}t|||| | d}g}zt|||||||||| | d }| sg||krg||Wnty|td |d |d wt|}tt j j|}t|tt|}|t j |kr||rt|t||st|||t|D]*}|d }t j ||}||rt|t||st|||tqnQt!|| }||}|t j j|}t|||s t|||t|D]&}||d s4t"||d ||||||||d ||d qt#|dkrk|durkd dd|D}| durSdn| d}d||}t$d|d|dt j ||S)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. Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a user or organization name, like `dbmdz/bert-base-german-cased`. - 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 (`bool`, *optional*, defaults to `False`): Whether or not to delete incompletely received file. Attempts to resume the download if such a file exists. 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 `huggingface-cli 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/)rarfrh) rarbrdrcrgrerfrhrizCould not locate the z inside rKr@)rarbrcrdrerfrgrir cSsg|]}d|qS)z- rr>rrrr<prAz*get_cached_module_file..rJzs/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.)%popwarningswarn FutureWarning ValueErrorrloggerinfor8rrisdirbasenamer[r\rr rEnvironmentErrorerrorrYr r#rr rfilecmpcmpshutilcopyrrrWr get_cached_module_filerCwarning)r`r%rarbrcrdrerfrgrhrideprecated_kwargsrjis_local submodule cached_module new_filesresolved_module_filemodules_neededfull_submodulesubmodule_path module_neededmodule_needed_file commit_hash repo_type_strurlrrrr~s >            r~class_reference code_revisionc  Ks| dd} | durtdt|durtd| }d|vr&|d\} }n|} |d\}}| dur9|| kr9|} t| |d|||||| || d }t||dd S) a Extracts a class from a module file, present in the local folder or repository of a model. 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. Valid model ids can be located at the root-level, like `bert-base-uncased`, or namespaced under a user or organization name, like `dbmdz/bert-base-german-cased`. - 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 (`bool`, *optional*, defaults to `False`): Whether or not to delete incompletely received file. Attempts to resume the download if such a file exists. 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 `huggingface-cli 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") ```rjNrkrlz--rKr@)rarbrcrdrerfrgrhrJ) rorprqrrrsrMr~r_r[)rr`rarbrcrdrerfrgrhrkwargsrjrepo_idr%rZ final_modulerrrget_class_from_dynamic_module|s8 X robjfolderconfigc sjdkrtdd|ddSfdd}t|ttfr*|D]}||q"n|dur2||g}tjjj}t |t |j }t ||| |t|D]}t |t |j }t ||| |qS|S)a  Save the modeling files corresponding to a custom model/configuration/tokenizer etc. in a given folder. Optionally adds the proper fields in a config. Args: obj (`Any`): The object for which to save the module files. folder (`str` or `os.PathLike`): The folder where to save. config (`PretrainedConfig` or dictionary, `optional`): A config in which to register the auto_map corresponding to this custom object. Returns: `List[str]`: The list of files saved. __main__z We can't save the code defining z in z as it's been defined in __main__. You should put this code in a separate module so we can include it in the saved folder and make it easier to share via the Hub.Nc sjj}|dd}|djj}d|vrYd}d}jjdrL|djj}tdddurKtd}|j}|dd}|d|j}n |djj}||f}t|tro|di} || j <| |d<dSt|dddur||j j <dSj |i|_ dS)NrK TokenizerFastslow_tokenizer_classauto_map) __class__ __module__rM__name__endswithr] isinstancedictget _auto_classr) _config module_name last_module full_namerfast_tokenizer_classslow_tokenizerslow_tok_module_namelast_slow_tok_modulerrrr_set_auto_map_in_config s.     z3custom_object_save.._set_auto_map_in_config)rrtrrr2tuplermodules__file__rr r|r}rrH) rrrrcfgresult object_file dest_file needed_filerrrcustom_object_saves,         rcCstd)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.)rs)signumframerrr_raise_timeout_errorCsrc Cs|dur`|r d}nW|rYtdkrYz7ttjttt|dur@td|d|d}|dvr4d}n|dvrs       ! 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