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


lowerCamelCase_    :		List[Any]							=	logging.get_logger(__name__)

lowerCamelCase_    :		int							=	{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

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

lowerCamelCase_    :		List[Any]							=	{
    """gpt-neox-20b""": 2_048,
}


class 						a__							(       __snake_case		):
   A__    :       List[str]        =      VOCAB_FILES_NAMES
   A__    :       Any        =      PRETRAINED_VOCAB_FILES_MAP
   A__    :       Tuple        =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A__    :       Union[str, Any]        =      ['input_ids', 'attention_mask']



   def __init__(						self				,						UpperCAmelCase=None				,						UpperCAmelCase=None				,						UpperCAmelCase=None				,						UpperCAmelCase="<|endoftext|>"				,						UpperCAmelCase="<|endoftext|>"				,						UpperCAmelCase="<|endoftext|>"				,						UpperCAmelCase=False				,						**UpperCAmelCase				,						)			->   Union[str, Any]:
        super().__init__(
            UpperCAmelCase				,						UpperCAmelCase				,						tokenizer_file=UpperCAmelCase				,						unk_token=UpperCAmelCase				,						bos_token=UpperCAmelCase				,						eos_token=UpperCAmelCase				,						add_prefix_space=UpperCAmelCase				,						**UpperCAmelCase				,						)

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

        __a		 =       add_prefix_space



   def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase = None   )			->   Tuple[str]:
        __a		 =       self._tokenizer.model.save(UpperCAmelCase				,						name=UpperCAmelCase   )
        return tuple(UpperCAmelCase   )







   def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   List[int]:
        __a		 =       []
        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:
             __a		 =       input_ids[-self.model_max_length :]
        return input_ids





from __future__ import annotations

import numpy as np
def 							lowerCAmelCase(     __lowerCamelCase						):
					return np.maximum(0				,    __lowerCamelCase						)


if __name__ == "__main__":
	print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]




