;i SSKrSSKrSSKJr SSKJr SSKJrJrJ r J r SSK J r J r Jr SSKJr SrS rSS jrS rS r\S :Xa\"5 gg)N)ComputeEnvironment)get_cluster_input) cache_dirdefault_config_filedefault_yaml_config_fileload_config_from_file) _ask_field _ask_options_convert_compute_environment)get_sagemaker_inputzLaunches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machinec[SSS/[5nU[R:Xa [ 5nU$[ 5nU$)Nz-In which compute environment are you running?z This machinezAWS (Amazon SageMaker))r r rAMAZON_SAGEMAKERr r)compute_environmentconfigs q/home/dmtnaga/Documents/work/airagagent/rag_env/lib/python3.13/site-packages/accelerate/commands/config/config.pyget_user_inputrsK&7 12$ 0AAA$& M#$ McUbURS[S9nO[R"S[S9nUR SSSS9 UbUR [ S9 U$)Nr) descriptionzAccelerate config commandz --config_fileaTThe path to use to store the config file. Will default to a file named default_config.yaml in the cache location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed with 'huggingface'.)defaulthelp)func) add_parserrargparseArgumentParser add_argument set_defaultsconfig_command) subparsersparsers rconfig_command_parserr",sm&&x[&I(()DR]^  "  0 Mrcj[5nURb URnOH[RR [ 5(d[R "[ 5 [nURS5(aURU5 OURU5 [SU35 g)Nz.jsonz"accelerate configuration saved at ) r config_fileospathisdirrmakedirsrendswith to_json_file to_yaml_fileprint)argsrr$s rrrBs  F #&& ww}}Y'' KK ". G$$K(K( .{m <=rcN[5nUR5n[U5 gN)r" parse_argsr)r!r-s rmainr1Rs " $F    D4r__main__r/)rr%accelerate.utilsrclusterr config_argsrrrr config_utilsr r r sagemakerr rrr"rr1__name__rrr:sR" /&hhPP*p  , >   zFr