




'''simple docstring'''


import argparse
from pathlib import Path

from transformers import AutoConfig, AutoTokenizer, RagConfig, RagSequenceForGeneration, RagTokenForGeneration



def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					Dict ,    UpperCamelCase__    :					str ,    UpperCamelCase__    :					str ,    UpperCamelCase__    :					Path ,    UpperCamelCase__    :					str = None ,    UpperCamelCase__    :					str = None ,    UpperCamelCase__    :					str = None ,    ):




     """simple docstring"""


     if config_name_or_path is None:
          a_     :							Optional[int]     						=  """facebook/rag-token-base""" if model_type == """rag_token""" else """facebook/rag-sequence-base"""

     if generator_tokenizer_name_or_path is None:
          a_     :							List[Any]     						=  generator_name_or_path

     if question_encoder_tokenizer_name_or_path is None:
          a_     :							int     						=  question_encoder_name_or_path

     a_     :							Any     						=  RagTokenForGeneration if model_type == """rag_token""" else RagSequenceForGeneration

     # Save model.
     a_     :							Optional[int]     						=  RagConfig.from_pretrained(UpperCamelCase__				)
     a_     :							Optional[int]     						=  AutoConfig.from_pretrained(UpperCamelCase__				)
     a_     :							int     						=  AutoConfig.from_pretrained(UpperCamelCase__				)

     a_     :							Dict     						=  gen_config
     a_     :							int     						=  question_encoder_config

     a_     :							int     						=  model_class.from_pretrained_question_encoder_generator(
         UpperCamelCase__ ,    UpperCamelCase__ ,    config=UpperCamelCase__				)
     rag_model.save_pretrained(UpperCamelCase__				)

     # Sanity check.
     model_class.from_pretrained(UpperCamelCase__				)

     # Save tokenizers.
     a_     :							Optional[Any]     						=  AutoTokenizer.from_pretrained(UpperCamelCase__				)
     gen_tokenizer.save_pretrained(dest_dir / """generator_tokenizer/"""				)
     a_     :							Optional[int]     						=  AutoTokenizer.from_pretrained(UpperCamelCase__				)
     question_encoder_tokenizer.save_pretrained(dest_dir / """question_encoder_tokenizer/"""				)


if __name__ == "__main__":
 lowerCAmelCase_      :  int				     =  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``'
     ),
 )

 lowerCAmelCase_      :  Dict				     =  parser.parse_args()

 lowerCAmelCase_      :  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'''


from unittest.mock import Mock, patch

from file_transfer.send_file import send_file



@patch("""socket.socket"""				)
@patch("""builtins.open"""				)
def  _SCREAMING_SNAKE_CASE     (      UpperCamelCase__    :					Dict ,    UpperCamelCase__    :					Tuple				):




     """simple docstring"""


     a_     :							Dict     						=  Mock()
     a_     :							List[str]     						=  conn, Mock()
     a_     :							Optional[int]     						=  iter([1, None]				)
     a_     :							List[str]     						=  lambda UpperCamelCase__				: next(UpperCamelCase__				)

     # ===== invoke =====
     send_file(filename="""mytext.txt""" ,    testing=UpperCamelCase__				)

     # ===== ensurance =====
     sock.assert_called_once()
     sock.return_value.bind.assert_called_once()
     sock.return_value.listen.assert_called_once()
     sock.return_value.accept.assert_called_once()
     conn.recv.assert_called_once()

     file.return_value.__enter__.assert_called_once()
     file.return_value.__enter__.return_value.read.assert_called()

     conn.send.assert_called_once()
     conn.close.assert_called_once()
     sock.return_value.shutdown.assert_called_once()
     sock.return_value.close.assert_called_once()
