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__     						=			logging.get_logger(__name__)

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

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

lowerCAmelCase__     						=			{
    'gpt-neox-20b': 2048,
}
class     a_			(						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 UpperCAmelCase_     			= VOCAB_FILES_NAMES
 UpperCAmelCase_     			= PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase_     			= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCAmelCase_     			= ['input_ids', 'attention_mask']




 def __init__(      self :  Tuple      ,   lowercase__ :  Optional[Any]=None      ,   lowercase__ :  List[str]=None      ,   lowercase__ :  Any=None      ,   lowercase__ :  int="<|endoftext|>"      ,   lowercase__ :  int="<|endoftext|>"      ,   lowercase__ :  List[str]="<|endoftext|>"      ,   lowercase__ :  Dict=False      ,   **lowercase__ :  Optional[Any]      ,   ):







        '''simple docstring'''



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

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

        lowerCAmelCase__					     = add_prefix_space




 def 		__snake_case						(      self :  Dict      ,   lowercase__ :  str      ,   lowercase__ :  Optional[str] = None):







        '''simple docstring'''



        lowerCAmelCase__					     = self._tokenizer.model.save(lowercase__      ,   name=lowercase__)
        return tuple(lowercase__)




 def 		__snake_case						(      self :  Union[str, Any]      ,   lowercase__ :  "Conversation"):







        '''simple docstring'''



        lowerCAmelCase__					     = []
        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:
               lowerCAmelCase__					     = input_ids[-self.model_max_length :]
        return input_ids

from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class     a_			(						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 def __init__(      self :  str      ,   lowercase__ :  pyspark.sql.DataFrame      ,   lowercase__ :  Optional[NamedSplit] = None      ,   lowercase__ :  Optional[Features] = None      ,   lowercase__ :  bool = True      ,   lowercase__ :  str = None      ,   lowercase__ :  bool = False      ,   lowercase__ :  str = None      ,   lowercase__ :  bool = True      ,   lowercase__ :  str = "arrow"      ,   **lowercase__ :  Any      ,   ):







        '''simple docstring'''



        super().__init__(
            split=lowercase__      ,   features=lowercase__      ,   cache_dir=lowercase__      ,   keep_in_memory=lowercase__      ,   streaming=lowercase__      ,   **lowercase__      ,   )
        lowerCAmelCase__					     = load_from_cache_file
        lowerCAmelCase__					     = file_format
        lowerCAmelCase__					     = Spark(
            df=lowercase__      ,   features=lowercase__      ,   cache_dir=lowercase__      ,   working_dir=lowercase__      ,   **lowercase__      ,   )




 def 		__snake_case						(      self :  Tuple):







        '''simple docstring'''



        if self.streaming:
               return self.builder.as_streaming_dataset(split=self.split)
        lowerCAmelCase__					     = None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
        self.builder.download_and_prepare(
            download_mode=lowercase__      ,   file_format=self._file_format      ,   )
        return self.builder.as_dataset(split=self.split)
