






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


SCREAMING_SNAKE_CASE__      :			Union[str, Any]							=		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__      :			List[str]							=		{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

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

SCREAMING_SNAKE_CASE__      :			Optional[Any]							=		{
    """gpt-neox-20b""": 20_48,
}
class 						lowerCamelCase_				(      lowerCAmelCase__ ):
    a__					       =  VOCAB_FILES_NAMES
    a__					       =  PRETRAINED_VOCAB_FILES_MAP
    a__					       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    a__					       =  ["input_ids", "attention_mask"]







    def __init__(						self       ,					__lowerCAmelCase=None       ,					__lowerCAmelCase=None       ,					__lowerCAmelCase=None       ,					__lowerCAmelCase="<|endoftext|>"       ,					__lowerCAmelCase="<|endoftext|>"       ,					__lowerCAmelCase="<|endoftext|>"       ,					__lowerCAmelCase=False       ,					**__lowerCAmelCase       ,					):
        """simple docstring"""
        super().__init__(
            _lowerCamelCase       ,					_lowerCamelCase       ,					tokenizer_file=_lowerCamelCase       ,					unk_token=_lowerCamelCase       ,					bos_token=_lowerCamelCase       ,					eos_token=_lowerCamelCase       ,					add_prefix_space=_lowerCamelCase       ,					**_lowerCamelCase       ,					)

        __magic_name__		:Union[str, Any]        =      json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
        if pre_tok_state.get('''add_prefix_space'''       ,					_lowerCamelCase     ) != add_prefix_space:
            __magic_name__		:Tuple        =      getattr(_lowerCamelCase       ,					pre_tok_state.pop('''type'''     )     )
            __magic_name__		:Tuple        =      add_prefix_space
            __magic_name__		:Any        =      pre_tok_class(**_lowerCamelCase     )

        __magic_name__		:int        =      add_prefix_space







    def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase = None     ):
        """simple docstring"""
        __magic_name__		:str        =      self._tokenizer.model.save(_lowerCamelCase       ,					name=_lowerCamelCase     )
        return tuple(_lowerCamelCase     )







    def 			A	(						self       ,					__lowerCAmelCase     ):
        """simple docstring"""
        __magic_name__		:Dict        =      []
        for is_user, text in conversation.iter_texts():
            input_ids.extend(self.encode(_lowerCamelCase       ,					add_special_tokens=_lowerCamelCase     ) + [self.eos_token_id]     )

        if len(_lowerCamelCase     ) > self.model_max_length:
            __magic_name__		:str        =      input_ids[-self.model_max_length :]
        return input_ids














from urllib.parse import quote

import pytest

from datasets.utils.hub import hf_hub_url

@pytest.mark.parametrize('''repo_id''',  ['''canonical_dataset_name''', '''org-name/dataset-name'''] )
@pytest.mark.parametrize('''path''',  ['''filename.csv''', '''filename with blanks.csv'''] )
@pytest.mark.parametrize('''revision''',  [None, '''v2'''] )
def      __lowercase					( snake_case,  snake_case,  snake_case ):







				"""simple docstring"""






				__magic_name__		:Tuple        =      hf_hub_url(repo_id=snake_case,  path=snake_case,  revision=snake_case )
				assert url == f'''https://huggingface.co/datasets/{repo_id}/resolve/{revision or "main"}/{quote(snake_case )}'''






