





"""simple docstring"""
import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


lowerCamelCase_								=		logging.get_logger(__name__)

lowerCamelCase_								=		{"vocab_file": "spiece.model"}

lowerCamelCase_								=		{
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    }
}






class 					_SCREAMING_SNAKE_CASE(   A  ):




       def __init__(						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__=False		,SCREAMING_SNAKE_CASE__=True		,SCREAMING_SNAKE_CASE__=False		,SCREAMING_SNAKE_CASE__="<s>"		,SCREAMING_SNAKE_CASE__="</s>"		,SCREAMING_SNAKE_CASE__="<unk>"		,SCREAMING_SNAKE_CASE__="<sep>"		,SCREAMING_SNAKE_CASE__="<pad>"		,SCREAMING_SNAKE_CASE__="<cls>"		,SCREAMING_SNAKE_CASE__="<mask>"		,SCREAMING_SNAKE_CASE__=["<eop>", "<eod>"]		,SCREAMING_SNAKE_CASE__ = None		,**SCREAMING_SNAKE_CASE__		,)			->      None:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Any						=  AddedToken(SCREAMING_SNAKE_CASE__		,lstrip=SCREAMING_SNAKE_CASE__		,rstrip=SCREAMING_SNAKE_CASE__							) if isinstance(SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__							) else mask_token

             __SCREAMING_SNAKE_CASE   :List[str]						=  {} if sp_model_kwargs is None else sp_model_kwargs

             super().__init__(
                 do_lower_case=SCREAMING_SNAKE_CASE__		,remove_space=SCREAMING_SNAKE_CASE__		,keep_accents=SCREAMING_SNAKE_CASE__		,bos_token=SCREAMING_SNAKE_CASE__		,eos_token=SCREAMING_SNAKE_CASE__		,unk_token=SCREAMING_SNAKE_CASE__		,sep_token=SCREAMING_SNAKE_CASE__		,pad_token=SCREAMING_SNAKE_CASE__		,cls_token=SCREAMING_SNAKE_CASE__		,mask_token=SCREAMING_SNAKE_CASE__		,additional_special_tokens=SCREAMING_SNAKE_CASE__		,sp_model_kwargs=self.sp_model_kwargs		,**SCREAMING_SNAKE_CASE__		,)

             __SCREAMING_SNAKE_CASE   :Optional[int]						=  3

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

             __SCREAMING_SNAKE_CASE   :Dict						=  spm.SentencePieceProcessor(**self.sp_model_kwargs							)
             self.sp_model.Load(SCREAMING_SNAKE_CASE__							)

             try:
                   import jieba
             except ModuleNotFoundError as error:
                   raise error.__class__(
                       '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
                       '''See https://pypi.org/project/jieba/ for installation.'''							)
             __SCREAMING_SNAKE_CASE   :Dict						=  jieba
             __SCREAMING_SNAKE_CASE   :List[str]						=  str.maketrans(''' \n'''		,'''\u2582\u2583'''							)




       @property
       # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
       def     _UpperCamelCase     (						self							)			->      Tuple:





             """simple docstring"""






             return len(self.sp_model							)




       def     _UpperCamelCase     (						self							)			->      Union[str, Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Optional[Any]						=  {self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE__							): i for i in range(self.vocab_size							)}
             vocab.update(self.added_tokens_encoder							)
             return vocab




       def __getstate__(						self							)			->      Union[str, Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Tuple						=  self.__dict__.copy()
             __SCREAMING_SNAKE_CASE   :str						=  None
             return state




       def __setstate__(						self		,SCREAMING_SNAKE_CASE__							)			->      Union[str, Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  d

             # for backward compatibility
             if not hasattr(self		,'''sp_model_kwargs'''							):
                   __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  {}

             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  spm.SentencePieceProcessor(**self.sp_model_kwargs							)
             self.sp_model.Load(self.vocab_file							)




       def     _UpperCamelCase     (						self		,SCREAMING_SNAKE_CASE__							)			->      Optional[int]:





             """simple docstring"""






             if self.remove_space:
                   __SCREAMING_SNAKE_CASE   :Optional[int]						=  ''' '''.join(inputs.strip().split()							)
             else:
                   __SCREAMING_SNAKE_CASE   :List[Any]						=  inputs
             __SCREAMING_SNAKE_CASE   :List[Any]						=  outputs.replace('''``'''		,'''"'''							).replace('''\'\''''		,'''"'''							)

             if not self.keep_accents:
                   __SCREAMING_SNAKE_CASE   :Dict						=  unicodedata.normalize('''NFKD'''		,SCREAMING_SNAKE_CASE__							)
                   __SCREAMING_SNAKE_CASE   :Tuple						=  ''''''.join([c for c in outputs if not unicodedata.combining(SCREAMING_SNAKE_CASE__							)]							)
             if self.do_lower_case:
                   __SCREAMING_SNAKE_CASE   :List[str]						=  outputs.lower()

             return outputs




       def     _UpperCamelCase     (						self		,SCREAMING_SNAKE_CASE__							)			->      List[str]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :List[Any]						=  self.preprocess_text(SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE   :List[str]						=  self.sp_model.encode(SCREAMING_SNAKE_CASE__		,out_type=SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE   :int						=  []
             for piece in pieces:
                   if len(SCREAMING_SNAKE_CASE__							) > 1 and piece[-1] == str(''','''							) and piece[-2].isdigit():
                         __SCREAMING_SNAKE_CASE   :Any						=  self.sp_model.EncodeAsPieces(piece[:-1].replace(SCREAMING_SNAKE_CASE__		,''''''							)							)
                         if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                               if len(cur_pieces[0]							) == 1:
                                     __SCREAMING_SNAKE_CASE   :List[str]						=  cur_pieces[1:]
                               else:
                                     __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  cur_pieces[0][1:]
                         cur_pieces.append(piece[-1]							)
                         new_pieces.extend(SCREAMING_SNAKE_CASE__							)
                   else:
                         new_pieces.append(SCREAMING_SNAKE_CASE__							)

             return new_pieces




       def     _UpperCamelCase     (						self		,SCREAMING_SNAKE_CASE__							)			->      Optional[Any]:





             """simple docstring"""






             return self.sp_model.PieceToId(SCREAMING_SNAKE_CASE__							)




       def     _UpperCamelCase     (						self		,SCREAMING_SNAKE_CASE__							)			->      int:





             """simple docstring"""






             return self.sp_model.IdToPiece(SCREAMING_SNAKE_CASE__							)




       def     _UpperCamelCase     (						self		,SCREAMING_SNAKE_CASE__							)			->      Dict:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Dict						=  ''''''.join(SCREAMING_SNAKE_CASE__							).replace(SCREAMING_SNAKE_CASE__		,''' '''							).strip()
             return out_string




       def     _UpperCamelCase     (						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__ = None							)			->      List[int]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :List[str]						=  [self.sep_token_id]
             __SCREAMING_SNAKE_CASE   :Any						=  [self.cls_token_id]
             if token_ids_a is None:
                   return token_ids_a + sep + cls
             return token_ids_a + sep + token_ids_a + sep + cls




       def     _UpperCamelCase     (						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__ = None		,SCREAMING_SNAKE_CASE__ = False							)			->      List[int]:





             """simple docstring"""






             if already_has_special_tokens:
                   return super().get_special_tokens_mask(
                       token_ids_a=SCREAMING_SNAKE_CASE__		,token_ids_a=SCREAMING_SNAKE_CASE__		,already_has_special_tokens=SCREAMING_SNAKE_CASE__							)

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




       def     _UpperCamelCase     (						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__ = None							)			->      List[int]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Optional[Any]						=  [self.sep_token_id]
             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  [2]

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




       def     _UpperCamelCase     (						self		,SCREAMING_SNAKE_CASE__		,SCREAMING_SNAKE_CASE__ = None							)			->      Tuple[str]:





             """simple docstring"""






             if not os.path.isdir(SCREAMING_SNAKE_CASE__							):
                   logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''							)
                   return
             __SCREAMING_SNAKE_CASE   :Tuple						=  os.path.join(
                 SCREAMING_SNAKE_CASE__		,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

             if os.path.abspath(self.vocab_file							) != os.path.abspath(SCREAMING_SNAKE_CASE__							) and os.path.isfile(self.vocab_file							):
                   copyfile(self.vocab_file		,SCREAMING_SNAKE_CASE__							)
             elif not os.path.isfile(self.vocab_file							):
                   with open(SCREAMING_SNAKE_CASE__		,'''wb'''							) as fi:
                         __SCREAMING_SNAKE_CASE   :Optional[int]						=  self.sp_model.serialized_model_proto()
                         fi.write(SCREAMING_SNAKE_CASE__							)

             return (out_vocab_file,)




       def     _UpperCamelCase     (						self		,*SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)			->      Dict:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :List[Any]						=  super()._decode(*SCREAMING_SNAKE_CASE__		,**SCREAMING_SNAKE_CASE__							)
             __SCREAMING_SNAKE_CASE   :Dict						=  text.replace(''' '''		,''''''							).replace('''\u2582'''		,''' '''							).replace('''\u2583'''		,'''\n'''							)
             return text






"""simple docstring"""
import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict



@pytest.mark.parametrize(
    '''split_dict''' ,   [
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train''' ,   num_bytes=13_37 ,   num_examples=42 ,   dataset_name='''my_dataset'''							)}							),
        SplitDict({'''train''': SplitInfo(name='''train''' ,   num_bytes=13_37 ,   num_examples=42							)}							),
        SplitDict({'''train''': SplitInfo()}							),
    ] ,   )
def      __lowerCamelCase   (							a_     :		SplitDict							)			->      Optional[int]:
      __SCREAMING_SNAKE_CASE   :Tuple						=  split_dict._to_yaml_list()
      assert len(a_							) == len(a_							)
      __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  SplitDict._from_yaml_list(a_							)
      for split_name, split_info in split_dict.items():
            # dataset_name field is deprecated, and is therefore not part of the YAML dump
            __SCREAMING_SNAKE_CASE   :int						=  None
            # the split name of split_dict takes over the name of the split info object
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  split_name
      assert split_dict == reloaded







@pytest.mark.parametrize(
    '''split_info''' ,   [SplitInfo(), SplitInfo(dataset_name=a_							), SplitInfo(dataset_name='''my_dataset'''							)]							)
def      __lowerCamelCase   (							a_     :		Dict							)			->      Any:
      # For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
      # field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
      __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  asdict(SplitDict({'''train''': split_info}							)							)
      assert "dataset_name" in split_dict_asdict["train"]
      assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name