




'''simple docstring'''







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

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation


A									=logging.get_logger(__name__)

A									={'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

A									={
    'tokenizer_file': {
        'EleutherAI/gpt-neox-20b': 'https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json',
    },
}

A									={
    'gpt-neox-20b': 20_48,
}


class     _a						(			__a				):
       __a       :  Optional[Any]            =      VOCAB_FILES_NAMES
       __a       :  Optional[int]            =      PRETRAINED_VOCAB_FILES_MAP
       __a       :  Optional[int]            =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       __a       :  int            =      ["""input_ids""", """attention_mask"""]
       def __init__(			self		:			Dict     ,       lowercase		:			Union[str, Any]=None     ,       lowercase		:			str=None     ,       lowercase		:			Tuple=None     ,       lowercase		:			Dict="<|endoftext|>"     ,       lowercase		:			str="<|endoftext|>"     ,       lowercase		:			List[Any]="<|endoftext|>"     ,       lowercase		:			List[str]=False     ,       **lowercase		:			int     ,       ):



           '''simple docstring'''

           super().__init__(
               lowercase     ,       lowercase     ,       tokenizer_file=lowercase     ,       unk_token=lowercase     ,       bos_token=lowercase     ,       eos_token=lowercase     ,       add_prefix_space=lowercase     ,       **lowercase     ,       )

           UpperCAmelCase     =	json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
           if pre_tok_state.get('''add_prefix_space'''     ,       lowercase       ) != add_prefix_space:
               UpperCAmelCase     =	getattr(lowercase     ,       pre_tok_state.pop('''type'''       )       )
               UpperCAmelCase     =	add_prefix_space
               UpperCAmelCase     =	pre_tok_class(**lowercase       )

           UpperCAmelCase     =	add_prefix_space
       def 					A   (			self		:			Tuple     ,       lowercase		:			str     ,       lowercase		:			Optional[str] = None       ):



           '''simple docstring'''

           UpperCAmelCase     =	self._tokenizer.model.save(lowercase     ,       name=lowercase       )
           return tuple(lowercase       )







       def 					A   (			self		:			List[str]     ,       lowercase		:			"Conversation"       ):



           '''simple docstring'''

           UpperCAmelCase     =	[]
           for is_user, text in conversation.iter_texts():
               input_ids.extend(self.encode(lowercase     ,       add_special_tokens=lowercase       ) + [self.eos_token_id]       )

           if len(lowercase       ) > self.model_max_length:
               UpperCAmelCase     =	input_ids[-self.model_max_length :]
           return input_ids










'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


A									=logging.get_logger(__name__)


class     _a						(			__a				):
       def __init__(			self		:			List[str]     ,       *lowercase		:			List[str]     ,       **lowercase		:			Optional[int]       ):



           '''simple docstring'''

           warnings.warn(
               '''The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
               ''' use CLIPImageProcessor instead.'''     ,       lowercase     ,       )
           super().__init__(*lowercase     ,       **lowercase       )




