'''simple docstring'''





import json
import os
import shutil
import tempfile
from unittest import TestCase

from transformers import BartTokenizer, BartTokenizerFast, DPRQuestionEncoderTokenizer, DPRQuestionEncoderTokenizerFast
from transformers.models.bart.configuration_bart import BartConfig
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES as DPR_VOCAB_FILES_NAMES
from transformers.models.dpr.configuration_dpr import DPRConfig
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES as BART_VOCAB_FILES_NAMES
from transformers.testing_utils import require_faiss, require_tokenizers, require_torch, slow
from transformers.utils import is_datasets_available, is_faiss_available, is_torch_available


if is_torch_available() and is_datasets_available() and is_faiss_available():
    from transformers.models.rag.configuration_rag import RagConfig
    from transformers.models.rag.tokenization_rag import RagTokenizer




@require_faiss
@require_torch
class        __A      ( UpperCAmelCase__	):



    def 					_lowercase						(self    :    str ):
         UpperCAmelCase_           =   tempfile.mkdtemp()
         UpperCAmelCase_           =   8

         # DPR tok
         UpperCAmelCase_           =   [
             '''[UNK]''',
             '''[CLS]''',
             '''[SEP]''',
             '''[PAD]''',
             '''[MASK]''',
             '''want''',
             '''##want''',
             '''##ed''',
             '''wa''',
             '''un''',
             '''runn''',
             '''##ing''',
             ''',''',
             '''low''',
             '''lowest''',
         ]
         UpperCAmelCase_           =   os.path.join(self.tmpdirname   ,			"dpr_tokenizer" )
         os.makedirs(__lowercase   ,			exist_ok=__lowercase )
         UpperCAmelCase_           =   os.path.join(__lowercase   ,			DPR_VOCAB_FILES_NAMES["vocab_file"] )
         with open(self.vocab_file   ,			"w"   ,			encoding="utf-8" ) as vocab_writer:
              vocab_writer.write("".join([x + "\n" for x in vocab_tokens] ) )

         # BART tok
         UpperCAmelCase_           =   [
             '''l''',
             '''o''',
             '''w''',
             '''e''',
             '''r''',
             '''s''',
             '''t''',
             '''i''',
             '''d''',
             '''n''',
             '''\u0120''',
             '''\u0120l''',
             '''\u0120n''',
             '''\u0120lo''',
             '''\u0120low''',
             '''er''',
             '''\u0120lowest''',
             '''\u0120newer''',
             '''\u0120wider''',
             '''<unk>''',
         ]
         UpperCAmelCase_           =   dict(zip(__lowercase   ,			range(len(__lowercase ) ) ) )
         UpperCAmelCase_           =   ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
         UpperCAmelCase_           =   {'''unk_token''': '''<unk>'''}

         UpperCAmelCase_           =   os.path.join(self.tmpdirname   ,			"bart_tokenizer" )
         os.makedirs(__lowercase   ,			exist_ok=__lowercase )
         UpperCAmelCase_           =   os.path.join(__lowercase   ,			BART_VOCAB_FILES_NAMES["vocab_file"] )
         UpperCAmelCase_           =   os.path.join(__lowercase   ,			BART_VOCAB_FILES_NAMES["merges_file"] )
         with open(self.vocab_file   ,			"w"   ,			encoding="utf-8" ) as fp:
              fp.write(json.dumps(__lowercase ) + "\n" )
         with open(self.merges_file   ,			"w"   ,			encoding="utf-8" ) as fp:
              fp.write("\n".join(__lowercase ) )



    def 					_lowercase						(self    :    Optional[int] ):
         return DPRQuestionEncoderTokenizer.from_pretrained(os.path.join(self.tmpdirname   ,			"dpr_tokenizer" ) )



    def 					_lowercase						(self    :    Union[str, Any] ):
         return BartTokenizer.from_pretrained(os.path.join(self.tmpdirname   ,			"bart_tokenizer" ) )



    def 					_lowercase						(self    :    List[str] ):
         shutil.rmtree(self.tmpdirname )



    @require_tokenizers
    def 					_lowercase						(self    :    int ):
         UpperCAmelCase_           =   os.path.join(self.tmpdirname   ,			"rag_tokenizer" )
         UpperCAmelCase_           =   RagConfig(question_encoder=DPRConfig().to_dict()   ,			generator=BartConfig().to_dict() )
         UpperCAmelCase_           =   RagTokenizer(question_encoder=self.get_dpr_tokenizer()   ,			generator=self.get_bart_tokenizer() )
         rag_config.save_pretrained(__lowercase )
         rag_tokenizer.save_pretrained(__lowercase )
         UpperCAmelCase_           =   RagTokenizer.from_pretrained(__lowercase   ,			config=__lowercase )
         self.assertIsInstance(new_rag_tokenizer.question_encoder   ,			__lowercase )
         self.assertEqual(new_rag_tokenizer.question_encoder.get_vocab()   ,			rag_tokenizer.question_encoder.get_vocab() )
         self.assertIsInstance(new_rag_tokenizer.generator   ,			__lowercase )
         self.assertEqual(new_rag_tokenizer.generator.get_vocab()   ,			rag_tokenizer.generator.get_vocab() )



    @slow
    def 					_lowercase						(self    :    Tuple ):
         UpperCAmelCase_           =   RagTokenizer.from_pretrained("facebook/rag-token-nq" )
         UpperCAmelCase_           =   [
             '''who got the first nobel prize in physics''',
             '''when is the next deadpool movie being released''',
             '''which mode is used for short wave broadcast service''',
             '''who is the owner of reading football club''',
             '''when is the next scandal episode coming out''',
             '''when is the last time the philadelphia won the superbowl''',
             '''what is the most current adobe flash player version''',
             '''how many episodes are there in dragon ball z''',
             '''what is the first step in the evolution of the eye''',
             '''where is gall bladder situated in human body''',
             '''what is the main mineral in lithium batteries''',
             '''who is the president of usa right now''',
             '''where do the greasers live in the outsiders''',
             '''panda is a national animal of which country''',
             '''what is the name of manchester united stadium''',
         ]
         UpperCAmelCase_           =   tokenizer(__lowercase )
         self.assertIsNotNone(__lowercase )






    @slow
    def 					_lowercase						(self    :    List[str] ):
         UpperCAmelCase_           =   RagTokenizer.from_pretrained("facebook/rag-sequence-nq" )
         UpperCAmelCase_           =   [
             '''who got the first nobel prize in physics''',
             '''when is the next deadpool movie being released''',
             '''which mode is used for short wave broadcast service''',
             '''who is the owner of reading football club''',
             '''when is the next scandal episode coming out''',
             '''when is the last time the philadelphia won the superbowl''',
             '''what is the most current adobe flash player version''',
             '''how many episodes are there in dragon ball z''',
             '''what is the first step in the evolution of the eye''',
             '''where is gall bladder situated in human body''',
             '''what is the main mineral in lithium batteries''',
             '''who is the president of usa right now''',
             '''where do the greasers live in the outsiders''',
             '''panda is a national animal of which country''',
             '''what is the name of manchester united stadium''',
         ]
         UpperCAmelCase_           =   tokenizer(__lowercase )
         self.assertIsNotNone(__lowercase )








from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands



def 	lowerCAmelCase       (						)->       int:
				lowerCAmelCase_       :					int			 = ArgumentParser('''Transformers CLI tool'''       ,      usage='''transformers-cli <command> [<args>]'''       )
				lowerCAmelCase_       :					Dict			 = parser.add_subparsers(help='''transformers-cli command helpers'''       )

				# Register commands
				ConvertCommand.register_subcommand(lowerCAmelCase_       )
				DownloadCommand.register_subcommand(lowerCAmelCase_       )
				EnvironmentCommand.register_subcommand(lowerCAmelCase_       )
				RunCommand.register_subcommand(lowerCAmelCase_       )
				ServeCommand.register_subcommand(lowerCAmelCase_       )
				UserCommands.register_subcommand(lowerCAmelCase_       )
				AddNewModelCommand.register_subcommand(lowerCAmelCase_       )
				AddNewModelLikeCommand.register_subcommand(lowerCAmelCase_       )
				LfsCommands.register_subcommand(lowerCAmelCase_       )
				PTtoTFCommand.register_subcommand(lowerCAmelCase_       )

				# Let's go
				lowerCAmelCase_       :					Union[str, Any]			 = parser.parse_args()

				if not hasattr(lowerCAmelCase_       ,      '''func'''       ):
								parser.print_help()
								exit(1       )

				# Run
				lowerCAmelCase_       :					List[Any]			 = args.func(lowerCAmelCase_       )
				service.run()


if __name__ == "__main__":
						main()