


import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
   from transformers.pipelines.conversational import Conversation


UpperCAmelCase      =   logging.get_logger(__name__)

UpperCAmelCase      =   {"""tokenizer_file""": """tokenizer.json"""}

UpperCAmelCase      =   {
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}







class lowerCAmelCase_						(			lowerCamelCase__	):

 '''simple docstring'''

 __snake_case												=  VOCAB_FILES_NAMES
 __snake_case												=  PRETRAINED_VOCAB_FILES_MAP
 __snake_case												=  ["input_ids", "attention_mask"]
 __snake_case												=  None



 def __init__(     self		,				_UpperCAmelCase=None		,				_UpperCAmelCase=None		,				_UpperCAmelCase=None		,				_UpperCAmelCase="<unk>"		,				_UpperCAmelCase="<s>"		,				_UpperCAmelCase="</s>"		,				_UpperCAmelCase="<pad>"		,				_UpperCAmelCase=False		,				_UpperCAmelCase=False		,				**_UpperCAmelCase		,				):
       super().__init__(
           _UpperCAmelCase		,				_UpperCAmelCase		,				tokenizer_file=_UpperCAmelCase		,				unk_token=_UpperCAmelCase		,				bos_token=_UpperCAmelCase		,				eos_token=_UpperCAmelCase		,				pad_token=_UpperCAmelCase		,				add_prefix_space=_UpperCAmelCase		,				clean_up_tokenization_spaces=_UpperCAmelCase		,				**_UpperCAmelCase		,				)
       snake_case_	=				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
       if pre_tok_state.get('''add_prefix_space'''		,				_UpperCAmelCase ) != add_prefix_space:
             snake_case_	=				getattr(_UpperCAmelCase		,				pre_tok_state.pop('''type''' ) )
             snake_case_	=				add_prefix_space
             snake_case_	=				pre_tok_class(**_UpperCAmelCase )

       snake_case_	=				add_prefix_space



 def 						UpperCamelCase__					(     self		,				*_UpperCAmelCase		,				**_UpperCAmelCase ):
       snake_case_	=				kwargs.get('''is_split_into_words'''		,				_UpperCAmelCase )
       if not (self.add_prefix_space or not is_split_into_words):
             raise Exception(
                 F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
                 ''' pretokenized inputs.''' )

       return super()._batch_encode_plus(*_UpperCAmelCase		,				**_UpperCAmelCase )



 def 						UpperCamelCase__					(     self		,				*_UpperCAmelCase		,				**_UpperCAmelCase ):
       snake_case_	=				kwargs.get('''is_split_into_words'''		,				_UpperCAmelCase )

       if not (self.add_prefix_space or not is_split_into_words):
             raise Exception(
                 F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
                 ''' pretokenized inputs.''' )

       return super()._encode_plus(*_UpperCAmelCase		,				**_UpperCAmelCase )



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase = None ):
       snake_case_	=				self._tokenizer.model.save(_UpperCAmelCase		,				name=_UpperCAmelCase )
       return tuple(_UpperCAmelCase )





 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase ):
       snake_case_	=				[]
       for is_user, text in conversation.iter_texts():
             input_ids.extend(self.encode(_UpperCAmelCase		,				add_special_tokens=_UpperCAmelCase ) + [self.eos_token_id] )

       if len(_UpperCAmelCase ) > self.model_max_length:
             snake_case_	=				input_ids[-self.model_max_length :]
       return input_ids



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase      =   {"""configuration_vit_msn""": ["""VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTMSNConfig"""]}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase      =   [
       """VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """ViTMSNModel""",
       """ViTMSNForImageClassification""",
       """ViTMSNPreTrainedModel""",
   ]

if TYPE_CHECKING:
   from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vit_msn import (
          VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
          ViTMSNForImageClassification,
          ViTMSNModel,
          ViTMSNPreTrainedModel,
      )

else:
   import sys

   UpperCAmelCase      =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)