




'''simple docstring'''






import argparse
from pathlib import Path

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

def 			__lowerCAmelCase					(    snake_case__					,      snake_case__					,      snake_case__					,      snake_case__					,      snake_case__ = None					,      snake_case__ = None					,      snake_case__ = None					,      ):
			if config_name_or_path is None:
						__UpperCamelCase      :			List[Any]									=   'facebook/rag-token-base' if model_type == 'rag_token' else 'facebook/rag-sequence-base'

			if generator_tokenizer_name_or_path is None:
						__UpperCamelCase      :			Optional[int]									=   generator_name_or_path

			if question_encoder_tokenizer_name_or_path is None:
						__UpperCamelCase      :			Tuple									=   question_encoder_name_or_path

			__UpperCamelCase      :			Union[str, Any]									=   RagTokenForGeneration if model_type == 'rag_token' else RagSequenceForGeneration

			# Save model.
			__UpperCamelCase      :			Tuple									=   RagConfig.from_pretrained(_lowerCAmelCase						)
			__UpperCamelCase      :			List[Any]									=   AutoConfig.from_pretrained(_lowerCAmelCase						)
			__UpperCamelCase      :			Union[str, Any]									=   AutoConfig.from_pretrained(_lowerCAmelCase						)

			__UpperCamelCase      :			Tuple									=   gen_config
			__UpperCamelCase      :			List[Any]									=   question_encoder_config

			__UpperCamelCase      :			str									=   model_class.from_pretrained_question_encoder_generator(
			    _lowerCAmelCase					,      _lowerCAmelCase					,      config=_lowerCAmelCase						)
			rag_model.save_pretrained(_lowerCAmelCase						)

			# Sanity check.
			model_class.from_pretrained(_lowerCAmelCase						)

			# Save tokenizers.
			__UpperCamelCase      :			List[str]									=   AutoTokenizer.from_pretrained(_lowerCAmelCase						)
			gen_tokenizer.save_pretrained(dest_dir / "generator_tokenizer/"						)
			__UpperCamelCase      :			Optional[int]									=   AutoTokenizer.from_pretrained(_lowerCAmelCase						)
			question_encoder_tokenizer.save_pretrained(dest_dir / "question_encoder_tokenizer/"						)


if __name__ == "__main__":
				_lowerCAmelCase      	=					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      	=					parser.parse_args()

				_lowerCAmelCase      	=					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 inspect
import warnings
from typing import Any, Dict, Optional, Union

from packaging import version

def        a_     (							*_lowerCAmelCase       ,_lowerCAmelCase = None       ,_lowerCAmelCase=True       ,_lowerCAmelCase=2       )      ->      List[str]:
  from .. import __version__

  __lowerCamelCase       :       Any           = take_from
  __lowerCamelCase       :       Optional[int]           = ()
  if not isinstance(args[0]       ,_lowerCAmelCase       ):
    __lowerCamelCase       :       Optional[Any]           = (args,)

  for attribute, version_name, message in args:
    if version.parse(version.parse(_lowerCAmelCase       ).base_version       ) >= version.parse(_lowerCAmelCase       ):
      raise ValueError(
          F'The deprecation tuple {(attribute, version_name, message)} should be removed since diffusers\''
          F' version {__version__} is >= {version_name}'       )

    __lowerCamelCase       :       Union[str, Any]           = None
    if isinstance(_lowerCAmelCase       ,_lowerCAmelCase       ) and attribute in deprecated_kwargs:
      values += (deprecated_kwargs.pop(_lowerCAmelCase       ),)
      __lowerCamelCase       :       Optional[Any]           = F'The `{attribute}` argument is deprecated and will be removed in version {version_name}.'
    elif hasattr(_lowerCAmelCase       ,_lowerCAmelCase       ):
      values += (getattr(_lowerCAmelCase       ,_lowerCAmelCase       ),)
      __lowerCamelCase       :       List[str]           = F'The `{attribute}` attribute is deprecated and will be removed in version {version_name}.'
    elif deprecated_kwargs is None:
      __lowerCamelCase       :       Optional[Any]           = F'`{attribute}` is deprecated and will be removed in version {version_name}.'

    if warning is not None:
      __lowerCamelCase       :       Optional[int]           = warning + ' ' if standard_warn else ''
      warnings.warn(warning + message       ,_lowerCAmelCase       ,stacklevel=_lowerCAmelCase       )

  if isinstance(_lowerCAmelCase       ,_lowerCAmelCase       ) and len(_lowerCAmelCase       ) > 0:
    __lowerCamelCase       :       Optional[Any]           = inspect.getouterframes(inspect.currentframe()       )[1]
    __lowerCamelCase       :       List[str]           = call_frame.filename
    __lowerCamelCase       :       int           = call_frame.lineno
    __lowerCamelCase       :       Union[str, Any]           = call_frame.function
    __lowerCamelCase       ,__lowerCamelCase       :       Union[str, Any]           = next(iter(deprecated_kwargs.items()       )       )
    raise TypeError(F'{function} in {filename} line {line_number-1} got an unexpected keyword argument `{key}`'       )

  if len(_lowerCAmelCase       ) == 0:
    return
  elif len(_lowerCAmelCase       ) == 1:
    return values[0]
  return values






