





'''simple docstring'''




import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
__SCREAMING_SNAKE_CASE     :Optional[Any]       =				'''src/transformers'''


# This is to make sure the transformers module imported is the one in the repo.
__SCREAMING_SNAKE_CASE     :Tuple       =				direct_transformers_import(PATH_TO_TRANSFORMERS)

__SCREAMING_SNAKE_CASE     :Tuple       =				transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
__SCREAMING_SNAKE_CASE     :List[str]       =				re.compile(R'''\[(.+?)\]\((https://huggingface\.co/.+?)\)''')


__SCREAMING_SNAKE_CASE     :Union[str, Any]       =				{
    '''DecisionTransformerConfig''',
    '''EncoderDecoderConfig''',
    '''MusicgenConfig''',
    '''RagConfig''',
    '''SpeechEncoderDecoderConfig''',
    '''TimmBackboneConfig''',
    '''VisionEncoderDecoderConfig''',
    '''VisionTextDualEncoderConfig''',
    '''LlamaConfig''',
}
def 	UpperCAmelCase_							(					__lowercase							:      List[Any]       )		->       Optional[int]:


     '''simple docstring'''



     _UpperCAmelCase     							=   None

     # source code of `config_class`
     _UpperCAmelCase     							=   inspect.getsource(__lowercase       )
     _UpperCAmelCase     							=   _re_checkpoint.findall(__lowercase       )

     # Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
     # For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
     for ckpt_name, ckpt_link in checkpoints:
          # allow the link to end with `/`
          if ckpt_link.endswith("/"       ):
               _UpperCAmelCase     							=   ckpt_link[:-1]

          # verify the checkpoint name corresponds to the checkpoint link
          _UpperCAmelCase     							=   f'https://huggingface.co/{ckpt_name}'
          if ckpt_link == ckpt_link_from_name:
               _UpperCAmelCase     							=   ckpt_name
               break

     return checkpoint
def 	UpperCAmelCase_							(					)		->       List[str]:


     '''simple docstring'''



     _UpperCAmelCase     							=   []

     for config_class in list(CONFIG_MAPPING.values()       ):
          # Skip deprecated models
          if "models.deprecated" in config_class.__module__:
               continue
          _UpperCAmelCase     							=   get_checkpoint_from_config_class(__lowercase       )

          _UpperCAmelCase     							=   config_class.__name__
          if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
               configs_without_checkpoint.append(__lowercase       )

     if len(__lowercase       ) > 0:
          _UpperCAmelCase     							=   "\n".join(sorted(__lowercase       )       )
          raise ValueError(f'The following configurations don\'t contain any valid checkpoint:\n{message}'       )


if __name__ == "__main__":
  check_config_docstrings_have_checkpoints()








'''simple docstring'''




from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


__snake_case    						=logging.get_logger(__name__)

__snake_case    						={
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

__snake_case    						={
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

__snake_case    						={
    """facebook/blenderbot_small-90M""": 512,
}

class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	Tuple		=     VOCAB_FILES_NAMES
     lowerCamelCase				:	Optional[int]		=     PRETRAINED_VOCAB_FILES_MAP
     lowerCamelCase				:	Union[str, Any]		=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCamelCase				:	Optional[Any]		=     BlenderbotSmallTokenizer





     def __init__( self       :      Any    ,      UpperCAmelCase__       :      Union[str, Any]=None    ,      UpperCAmelCase__       :      Dict=None    ,      UpperCAmelCase__       :      int="<|endoftext|>"    ,      UpperCAmelCase__       :      Dict="<|endoftext|>"    ,      UpperCAmelCase__       :      str="<|endoftext|>"    ,      UpperCAmelCase__       :      str=False    ,      UpperCAmelCase__       :      Tuple=True    ,      **UpperCAmelCase__       :      Optional[Any]    ,      )				->  Any:
        super().__init__(
            ByteLevelBPETokenizer(
                vocab=UpperCAmelCase__    ,      merges=UpperCAmelCase__    ,      add_prefix_space=UpperCAmelCase__    ,      trim_offsets=UpperCAmelCase__    ,      )    ,      bos_token=UpperCAmelCase__    ,      eos_token=UpperCAmelCase__    ,      unk_token=UpperCAmelCase__    ,      **UpperCAmelCase__    ,      )
        lowerCAmelCase     =			add_prefix_space





     def 							__UpperCAmelCase      ( self       :      List[Any]    ,      UpperCAmelCase__       :      Union[str, Any]    ,      UpperCAmelCase__       :      Dict=None    )				->  Any:
        lowerCAmelCase     =			[self.bos_token_id] + token_ids_a + [self.eos_token_id]
        if token_ids_a is None:
           return output

        return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





     def 							__UpperCAmelCase      ( self       :      Any    ,      UpperCAmelCase__       :      List[int]    ,      UpperCAmelCase__       :      Optional[List[int]] = None    )				->  List[int]:
        lowerCAmelCase     =			[self.sep_token_id]
        lowerCAmelCase     =			[self.cls_token_id]

        if token_ids_a is None:
           return len(cls + token_ids_a + sep    ) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep    ) * [0]





