





'''simple docstring'''

import argparse
from pathlib import Path

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







def    a__							(							lowercase   :	Dict,   lowercase   :	str,   lowercase   :	str,   lowercase   :	Path,   lowercase   :	str = None,   lowercase   :	str = None,   lowercase   :	str = None,   )						->						str:





     """simple docstring"""

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

     if generator_tokenizer_name_or_path is None:
          _UpperCamelCase							       =			generator_name_or_path

     if question_encoder_tokenizer_name_or_path is None:
          _UpperCamelCase							       =			question_encoder_name_or_path

     _UpperCamelCase							       =			RagTokenForGeneration if model_type == '''rag_token''' else RagSequenceForGeneration

     # Save model.
     _UpperCamelCase							       =			RagConfig.from_pretrained(lowercase )
     _UpperCamelCase							       =			AutoConfig.from_pretrained(lowercase )
     _UpperCamelCase							       =			AutoConfig.from_pretrained(lowercase )

     _UpperCamelCase							       =			gen_config
     _UpperCamelCase							       =			question_encoder_config

     _UpperCamelCase							       =			model_class.from_pretrained_question_encoder_generator(
         lowercase,   lowercase,   config=lowercase )
     rag_model.save_pretrained(lowercase )

     # Sanity check.
     model_class.from_pretrained(lowercase )

     # Save tokenizers.
     _UpperCamelCase							       =			AutoTokenizer.from_pretrained(lowercase )
     gen_tokenizer.save_pretrained(dest_dir / '''generator_tokenizer/''' )
     _UpperCamelCase							       =			AutoTokenizer.from_pretrained(lowercase )
     question_encoder_tokenizer.save_pretrained(dest_dir / '''question_encoder_tokenizer/''' )


if __name__ == "__main__":
   lowercase__		:     Optional[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``'
       ),
   )

   lowercase__		:     Optional[int]			=							parser.parse_args()

   lowercase__		:     Union[str, Any]			=							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 argparse
import os
import re

import packaging.version


__UpperCamelCase     :						Union[str, Any]						       =  '''examples/'''
__UpperCamelCase     :						str						       =  {
    '''examples''': (re.compile(R'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(R'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(R'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), R'''\1version="VERSION",'''),
    '''doc''': (re.compile(R'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
__UpperCamelCase     :						List[str]						       =  {
    '''init''': '''src/transformers/__init__.py''',
    '''setup''': '''setup.py''',
}
__UpperCamelCase     :						Optional[int]						       =  '''README.md'''

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Any  ,     _UpperCAmelCase					:    Dict  ,     _UpperCAmelCase					:    Any			):
 with open(_UpperCAmelCase  ,     'r'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  lowerCAmelCase    				= f.read()
 lowerCAmelCase				,lowerCAmelCase    				= REPLACE_PATTERNS[pattern]
 lowerCAmelCase    				= replace.replace('VERSION'  ,     _UpperCAmelCase			)
 lowerCAmelCase    				= re_pattern.sub(_UpperCAmelCase  ,     _UpperCAmelCase			)
 with open(_UpperCAmelCase  ,     'w'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  f.write(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Union[str, Any]			):
 for folder, directories, fnames in os.walk(_UpperCAmelCase			):
  # Removing some of the folders with non-actively maintained examples from the walk
  if "research_projects" in directories:
   directories.remove('research_projects'			)
  if "legacy" in directories:
   directories.remove('legacy'			)
  for fname in fnames:
   if fname.endswith('.py'			):
    update_version_in_file(os.path.join(_UpperCAmelCase  ,     _UpperCAmelCase			)  ,     _UpperCAmelCase  ,     pattern='examples'			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    List[str]  ,     _UpperCAmelCase					:    Dict=False			):
 for pattern, fname in REPLACE_FILES.items():
  update_version_in_file(_UpperCAmelCase  ,     _UpperCAmelCase  ,     _UpperCAmelCase			)
 if not patch:
  update_version_in_examples(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			():
 lowerCAmelCase    				= '🤗 Transformers currently provides the following architectures'
 lowerCAmelCase    				= '1. Want to contribute a new model?'
 with open(_UpperCAmelCase  ,     'r'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  lowerCAmelCase    				= f.readlines()

 # Find the start of the list.
 lowerCAmelCase    				= 0
 while not lines[start_index].startswith(_start_prompt			):
  start_index += 1
 start_index += 1

 lowerCAmelCase    				= start_index
 # Update the lines in the model list.
 while not lines[index].startswith(_end_prompt			):
  if lines[index].startswith('1.'			):
   lowerCAmelCase    				= lines[index].replace(
       'https://huggingface.co/docs/transformers/main/model_doc'  ,     'https://huggingface.co/docs/transformers/model_doc'  ,     )
  index += 1

 with open(_UpperCAmelCase  ,     'w'  ,     encoding='utf-8'  ,     newline='\n'			) as f:
  f.writelines(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			():
 with open(REPLACE_FILES['init']  ,     'r'			) as f:
  lowerCAmelCase    				= f.read()
 lowerCAmelCase    				= REPLACE_PATTERNS['init'][0].search(_UpperCAmelCase			).groups()[0]
 return packaging.version.parse(_UpperCAmelCase			)

def 		_SCREAMING_SNAKE_CASE			(_UpperCAmelCase					:    Tuple=False			):
 lowerCAmelCase    				= get_version()
 if patch and default_version.is_devrelease:
  raise ValueError('Can\'t create a patch version from the dev branch, checkout a released version!'			)
 if default_version.is_devrelease:
  lowerCAmelCase    				= default_version.base_version
 elif patch:
  lowerCAmelCase    				= F'{default_version.major}.{default_version.minor}.{default_version.micro + 1}'
 else:
  lowerCAmelCase    				= F'{default_version.major}.{default_version.minor + 1}.0'

 # Now let's ask nicely if that's the right one.
 lowerCAmelCase    				= input(F'Which version are you releasing? [{default_version}]'			)
 if len(_UpperCAmelCase			) == 0:
  lowerCAmelCase    				= default_version

 print(F'Updating version to {version}.'			)
 global_version_update(_UpperCAmelCase  ,     patch=_UpperCAmelCase			)
 if not patch:
  print('Cleaning main README, don\'t forget to run `make fix-copies`.'			)
  clean_main_ref_in_model_list()

def 		_SCREAMING_SNAKE_CASE			():
 lowerCAmelCase    				= get_version()
 lowerCAmelCase    				= F'{current_version.major}.{current_version.minor + 1}.0.dev0'
 lowerCAmelCase    				= current_version.base_version

 # Check with the user we got that right.
 lowerCAmelCase    				= input(F'Which version are we developing now? [{dev_version}]'			)
 if len(_UpperCAmelCase			) == 0:
  lowerCAmelCase    				= dev_version

 print(F'Updating version to {version}.'			)
 global_version_update(_UpperCAmelCase			)
 print('Cleaning main README, don\'t forget to run `make fix-copies`.'			)
 clean_main_ref_in_model_list()


if __name__ == "__main__":
       __UpperCamelCase     :						Optional[int]						       =  argparse.ArgumentParser()
       parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
       parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
       __UpperCamelCase     :						Optional[int]						       =  parser.parse_args()
       if not args.post_release:
              pre_release_work(patch=args.patch)
       elif args.patch:
              print('''Nothing to do after a patch :-)''')
       else:
              post_release_work()





