






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


snake_case__   :						Dict													=   logging.get_logger(__name__)

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

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

snake_case__   :						Dict													=   {
    """gpt-neox-20b""": 2_0_4_8,
}


class     _a							(	UpperCAmelCase__     ):






  """simple docstring"""





  A_						       = VOCAB_FILES_NAMES
  A_						       = PRETRAINED_VOCAB_FILES_MAP
  A_						       = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A_						       = ["""input_ids""", """attention_mask"""]




  def __init__(  self		,		_UpperCAmelCase=None		,		_UpperCAmelCase=None		,		_UpperCAmelCase=None		,		_UpperCAmelCase="<|endoftext|>"		,		_UpperCAmelCase="<|endoftext|>"		,		_UpperCAmelCase="<|endoftext|>"		,		_UpperCAmelCase=False		,		**_UpperCAmelCase		,		)      ->			Tuple:
     super().__init__(
         _UpperCAmelCase		,		_UpperCAmelCase		,		tokenizer_file=_UpperCAmelCase		,		unk_token=_UpperCAmelCase		,		bos_token=_UpperCAmelCase		,		eos_token=_UpperCAmelCase		,		add_prefix_space=_UpperCAmelCase		,		**_UpperCAmelCase		,		)

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

     UpperCamelCase_						=  add_prefix_space




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




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			List[int]:
     UpperCamelCase_						=  []
     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:
        UpperCamelCase_						=  input_ids[-self.model_max_length :]
     return input_ids













import re
from pathlib import Path
from unittest import TestCase

import pytest


@pytest.mark.integration
class     _a							(	UpperCAmelCase__     ):






  """simple docstring"""





  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			Dict:

     with open(_UpperCAmelCase		,		encoding='utf-8'			) as input_file:
        UpperCamelCase_						=  re.compile(R'(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'			)
        UpperCamelCase_						=  input_file.read()
        UpperCamelCase_						=  regexp.search(_UpperCAmelCase			)

     return match




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			Dict:

     with open(_UpperCAmelCase		,		encoding='utf-8'			) as input_file:
        UpperCamelCase_						=  re.compile(R'#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()'		,		re.DOTALL			)
        UpperCamelCase_						=  input_file.read()
        # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
        UpperCamelCase_						=  regexp.finditer(_UpperCAmelCase			)

     UpperCamelCase_						=  [match for match in matches if match is not None and match.group(1			) is not None]
     return matches[0] if matches else None




  def  _UpperCAmelCase  (  self			)      ->			List[str]:
     UpperCamelCase_						=  Path('./datasets'			)
     UpperCamelCase_						=  list(dataset_paths.absolute().glob('**/*.py'			)			)

     for dataset in dataset_files:
        if self._no_encoding_on_file_open(str(_UpperCAmelCase			)			):
           raise AssertionError(f"""open(...) must use utf-8 encoding in {dataset}"""			)




  def  _UpperCAmelCase  (  self			)      ->			Optional[int]:
     UpperCamelCase_						=  Path('./datasets'			)
     UpperCamelCase_						=  list(dataset_paths.absolute().glob('**/*.py'			)			)

     for dataset in dataset_files:
        if self._no_print_statements(str(_UpperCAmelCase			)			):
           raise AssertionError(f"""print statement found in {dataset}. Use datasets.logger/logging instead."""			)





