



'''simple docstring'''






import os
from shutil import copyfile
from typing import List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


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

A_							: int						 =	{"""vocab_file""": """sentencepiece.model"""}

A_							: Any						 =	{
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
}

A_							: int						 =	{
    """google/rembert""": 2_5_6,
}



class 							lowercase       (  _lowerCamelCase				):


 """simple docstring"""


 UpperCAmelCase							=  VOCAB_FILES_NAMES
 UpperCAmelCase							=  PRETRAINED_VOCAB_FILES_MAP
 UpperCAmelCase							=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







 def __init__(							self  ,a_  ,a_=False  ,a_=True  ,a_=True  ,a_="[CLS]"  ,a_="[SEP]"  ,a_="[UNK]"  ,a_="[SEP]"  ,a_="[PAD]"  ,a_="[CLS]"  ,a_="[MASK]"  ,**a_  ,)		->   List[Any]:
        super().__init__(
            do_lower_case=a_  ,remove_space=a_  ,keep_accents=a_  ,bos_token=a_  ,eos_token=a_  ,unk_token=a_  ,sep_token=a_  ,pad_token=a_  ,cls_token=a_  ,mask_token=a_  ,**a_  ,)

        _UpperCAmelCase  :						int			     = do_lower_case
        _UpperCAmelCase  :						List[str]			     = remove_space
        _UpperCAmelCase  :						Any			     = keep_accents
        _UpperCAmelCase  :						List[Any]			     = vocab_file

        _UpperCAmelCase  :						Union[str, Any]			     = spm.SentencePieceProcessor()
        self.sp_model.Load(a_							)







 @property
 def _snake_case (							self							)		->   Optional[int]:
        return len(self.sp_model							)







 def _snake_case (							self							)		->   Union[str, Any]:
        _UpperCAmelCase  :						int			     = {self.convert_ids_to_tokens(a_							): i for i in range(self.vocab_size							)}
        vocab.update(self.added_tokens_encoder							)
        return vocab







 def __getstate__(							self							)		->   Optional[int]:
        _UpperCAmelCase  :						Union[str, Any]			     = self.__dict__.copy()
        _UpperCAmelCase  :						int			     = None
        return state







 def __setstate__(							self  ,a_							)		->   Any:
        _UpperCAmelCase  :						Optional[Any]			     = d
        _UpperCAmelCase  :						Dict			     = spm.SentencePieceProcessor()
        self.sp_model.Load(self.vocab_file							)







 def _snake_case (							self  ,a_  ,a_=False							)		->   str:
        _UpperCAmelCase  :						Any			     = self.sp_model.EncodeAsPieces(a_							)
        return pieces







 def _snake_case (							self  ,a_							)		->   Any:
        return self.sp_model.PieceToId(a_							)







 def _snake_case (							self  ,a_							)		->   Tuple:
        return self.sp_model.IdToPiece(a_							)







 def _snake_case (							self  ,a_							)		->   Optional[Any]:
        _UpperCAmelCase  :						Tuple			     = self.sp_model.decode_pieces(a_							)
        return out_string







 def _snake_case (							self  ,a_  ,a_ = None							)		->   List[int]:
        _UpperCAmelCase  :						List[str]			     = [self.sep_token_id]
        _UpperCAmelCase  :						int			     = [self.cls_token_id]
        if token_ids_a is None:
               return cls + token_ids_a + sep
        return cls + token_ids_a + sep + token_ids_a + sep







 def _snake_case (							self  ,a_  ,a_ = None  ,a_ = False							)		->   List[int]:

        if already_has_special_tokens:
               if token_ids_a is not None:
                      raise ValueError(
                          """You should not supply a second sequence if the provided sequence of """
                          """ids is already formatted with special tokens for the model."""							)
               return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

        if token_ids_a is not None:
               return [1] + ([0] * len(a_							)) + [1] + ([0] * len(a_							)) + [1]
        return [1] + ([0] * len(a_							)) + [1]







 def _snake_case (							self  ,a_  ,a_ = None							)		->   List[int]:
        _UpperCAmelCase  :						Optional[Any]			     = [self.sep_token_id]
        _UpperCAmelCase  :						Dict			     = [self.cls_token_id]

        if token_ids_a is None:
               return len(cls + token_ids_a + sep							) * [0]
        return len(cls + token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]







 def _snake_case (							self  ,a_  ,a_ = None							)		->   Tuple[str]:
        if not os.path.isdir(a_							):
               logger.error("""Vocabulary path ({}) should be a directory""".format(a_							)							)
               return
        _UpperCAmelCase  :						List[str]			     = os.path.join(
            a_  ,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)

        if os.path.abspath(self.vocab_file							) != os.path.abspath(a_							):
               copyfile(self.vocab_file  ,a_							)

        return (out_vocab_file,)








'''simple docstring'''






import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin



class 							lowercase       (  unittest.TestCase					,					_lowerCamelCase				):


 """simple docstring"""


 def _snake_case (							self							)		->   Any:
        _UpperCAmelCase  :						int			     = load_tool("""text-classification"""							)
        self.tool.setup()
        _UpperCAmelCase  :						Tuple			     = load_tool("""text-classification"""  ,remote=a_							)







 def _snake_case (							self							)		->   Union[str, Any]:
        _UpperCAmelCase  :						Tuple			     = self.tool("""That's quite cool"""  ,["""positive""", """negative"""]							)
        self.assertEqual(a_  ,"""positive"""							)







 def _snake_case (							self							)		->   Any:
        _UpperCAmelCase  :						Dict			     = self.remote_tool("""That's quite cool"""  ,["""positive""", """negative"""]							)
        self.assertEqual(a_  ,"""positive"""							)







 def _snake_case (							self							)		->   str:
        _UpperCAmelCase  :						List[Any]			     = self.tool(text="""That's quite cool"""  ,labels=["""positive""", """negative"""]							)
        self.assertEqual(a_  ,"""positive"""							)







 def _snake_case (							self							)		->   Union[str, Any]:
        _UpperCAmelCase  :						Any			     = self.remote_tool(text="""That's quite cool"""  ,labels=["""positive""", """negative"""]							)
        self.assertEqual(a_  ,"""positive"""							)



