
"""simple docstring"""





import argparse
from pathlib import Path

from transformers import AutoConfig, AutoTokenizer, RagConfig, RagSequenceForGeneration, RagTokenForGeneration
def 							A_     (__a				,   __a				,   __a				,   __a				,   __a = None				,   __a = None				,   __a = None				,   ):

     '''simple docstring'''





     if config_name_or_path is None:
          A_				 =						"facebook/rag-token-base" if model_type == "rag_token" else "facebook/rag-sequence-base"

     if generator_tokenizer_name_or_path is None:
          A_				 =						generator_name_or_path

     if question_encoder_tokenizer_name_or_path is None:
          A_				 =						question_encoder_name_or_path

     A_				 =						RagTokenForGeneration if model_type == "rag_token" else RagSequenceForGeneration

     # Save model.
     A_				 =						RagConfig.from_pretrained(__a				)
     A_				 =						AutoConfig.from_pretrained(__a				)
     A_				 =						AutoConfig.from_pretrained(__a				)

     A_				 =						gen_config
     A_				 =						question_encoder_config

     A_				 =						model_class.from_pretrained_question_encoder_generator(
         __a				,   __a				,   config=__a				)
     rag_model.save_pretrained(__a				)

     # Sanity check.
     model_class.from_pretrained(__a				)

     # Save tokenizers.
     A_				 =						AutoTokenizer.from_pretrained(__a				)
     gen_tokenizer.save_pretrained(dest_dir / "generator_tokenizer/"				)
     A_				 =						AutoTokenizer.from_pretrained(__a				)
     question_encoder_tokenizer.save_pretrained(dest_dir / "question_encoder_tokenizer/"				)


if __name__ == "__main__":
  UpperCamelCase_					:						Optional[Any]				= argparse.ArgumentParser()
  parser.add_argument(
      '''--model_type''',
      choices=['''rag_sequence''', '''rag_token'''],
      required=True,
      type=str,
      help='''RAG model type: rag_sequence, rag_token''',
  )
  parser.add_argument('''--dest''', type=str, required=True, help='''Path to the output checkpoint directory.''')
  parser.add_argument('''--generator_name_or_path''', type=str, required=True, help='''Generator model identifier''')
  parser.add_argument(
      '''--question_encoder_name_or_path''', type=str, required=True, help='''Question encoder model identifier'''
  )

  parser.add_argument(
      '''--generator_tokenizer_name_or_path''',
      type=str,
      help='''Generator tokenizer identifier, if not specified, resolves to ``generator_name_or_path``''',
  )
  parser.add_argument(
      '''--question_encoder_tokenizer_name_or_path''',
      type=str,
      help='''Question encoder tokenizer identifier, if not specified, resolves to ``question_encoder_name_or_path``''',
  )
  parser.add_argument(
      '''--config_name_or_path''',
      type=str,
      help=(
          '''Identifier of the model config to use, if not provided, resolves to a base config for a given'''
          ''' ``model_type``'''
      ),
  )

  UpperCamelCase_					:						Dict				= parser.parse_args()

  UpperCamelCase_					:						Tuple				= Path(args.dest)
  dest_dir.mkdir(exist_ok=True)

  consolidate(
      args.model_type,
      args.generator_name_or_path,
      args.question_encoder_name_or_path,
      dest_dir,
      args.config_name_or_path,
      args.generator_tokenizer_name_or_path,
      args.question_encoder_tokenizer_name_or_path,
  )






"""simple docstring"""





import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class __lowerCAmelCase				(					_lowercase     ,				unittest.TestCase      ):




			"""simple docstring"""







			snake_case	      =				TransfoXLTokenizer
			snake_case	      =				False
			snake_case	      =				False




			def      lowerCamelCase__     (				self						:					Optional[int]	)      -> Optional[int]:







								"""simple docstring"""
								super().setUp()

								A_				 =						[
								    "<unk>",
								    "[CLS]",
								    "[SEP]",
								    "want",
								    "unwanted",
								    "wa",
								    "un",
								    "running",
								    ",",
								    "low",
								    "l",
								]
								A_				 =						os.path.join(self.tmpdirname       ,   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]	)	)




			def      lowerCamelCase__     (				self						:					str       ,   **_snake_case						:					Any	)      -> Optional[Any]:







								"""simple docstring"""
								A_				 =						True
								return TransfoXLTokenizer.from_pretrained(self.tmpdirname       ,   **_snake_case	)




			def      lowerCamelCase__     (				self						:					int       ,   _snake_case						:					Optional[Any]	)      -> Any:







								"""simple docstring"""
								A_				 =						"<unk> UNwanted , running"
								A_				 =						"<unk> unwanted, running"
								return input_text, output_text




			def      lowerCamelCase__     (				self						:					Dict	)      -> int:







								"""simple docstring"""
								A_				 =						TransfoXLTokenizer(vocab_file=self.vocab_file       ,   lower_case=_snake_case	)

								A_				 =						tokenizer.tokenize("<unk> UNwanted , running"	)
								self.assertListEqual(_snake_case       ,   ["<unk>", "unwanted", ",", "running"]	)

								self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case	)       ,   [0, 4, 8, 7]	)




			def      lowerCamelCase__     (				self						:					List[str]	)      -> int:







								"""simple docstring"""
								A_				 =						TransfoXLTokenizer(lower_case=_snake_case	)

								self.assertListEqual(
								    tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "	)       ,   ["hello", "!", "how", "are", "you", "?"]	)




			def      lowerCamelCase__     (				self						:					Union[str, Any]	)      -> str:







								"""simple docstring"""
								A_				 =						TransfoXLTokenizer(lower_case=_snake_case	)

								self.assertListEqual(
								    tokenizer.tokenize(" \tHeLLo ! how  \n Are yoU ?  "	)       ,   ["HeLLo", "!", "how", "Are", "yoU", "?"]	)




			def      lowerCamelCase__     (				self						:					Dict	)      -> Tuple:







								"""simple docstring"""
								A_				 =						TransfoXLTokenizer(lower_case=_snake_case	)
								A_				 =						"Hello (bracket) and side-scrolled [and] Henry's $5,000 with 3.34 m. What's up!?"
								A_				 =						[
								    "Hello",
								    "(",
								    "bracket",
								    ")",
								    "and",
								    "side",
								    "@-@",
								    "scrolled",
								    "[",
								    "and",
								    "]",
								    "Henry",
								    "'s",
								    "$",
								    "5",
								    "@,@",
								    "000",
								    "with",
								    "3",
								    "@.@",
								    "34",
								    "m",
								    ".",
								    "What",
								    "'s",
								    "up",
								    "!",
								    "?",
								]

								self.assertListEqual(tokenizer.tokenize(_snake_case	)       ,   _snake_case	)

								self.assertEqual(tokenizer.convert_tokens_to_string(_snake_case	)       ,   _snake_case	)






			def      lowerCamelCase__     (				self						:					List[Any]	)      -> Optional[Any]:







								"""simple docstring"""
								A_				 =						self.get_tokenizer()
								A_				 =						len(_snake_case	)

								tokenizer.add_tokens(["new1", "new2"]	)
								tokenizer.move_added_token("new1"       ,   1	)

								# Check that moved token is not copied (duplicate)
								self.assertEqual(len(_snake_case	)       ,   original_len + 2	)
								# Check that token is moved to specified id
								self.assertEqual(tokenizer.encode("new1"	)       ,   [1]	)
								self.assertEqual(tokenizer.decode([1]	)       ,   "new1"	)




