
"""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


UpperCamelCase			:       Any									=				logging.get_logger(__name__)

UpperCamelCase			:       Dict									=				{"vocab_file": "spiece.model"}

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

class __lowerCAmelCase	(   __SCREAMING_SNAKE_CASE    ):





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

      '''simple docstring'''




      __UpperCamelCase       						= AddedToken(__UpperCAmelCase			,  lstrip=__UpperCAmelCase			,  rstrip=__UpperCAmelCase   ) if isinstance(__UpperCAmelCase			,  __UpperCAmelCase   ) else mask_token

      __UpperCamelCase       						= {} if sp_model_kwargs is None else sp_model_kwargs

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

      __UpperCamelCase       						= 3

      __UpperCamelCase       						= do_lower_case
      __UpperCamelCase       						= remove_space
      __UpperCamelCase       						= keep_accents
      __UpperCamelCase       						= vocab_file

      __UpperCamelCase       						= spm.SentencePieceProcessor(**self.sp_model_kwargs   )
      self.sp_model.Load(__UpperCAmelCase   )

      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.'   )
      __UpperCamelCase       						= jieba
      __UpperCamelCase       						= str.maketrans(' \n'			,  '\u2582\u2583'   )





     @property
     # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      return len(self.sp_model   )





     def 		UpperCAmelCase      (			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= {self.convert_ids_to_tokens(__UpperCAmelCase   ): i for i in range(self.vocab_size   )}
      vocab.update(self.added_tokens_encoder   )
      return vocab





     def __getstate__(			self   ):

      '''simple docstring'''




      __UpperCamelCase       						= self.__dict__.copy()
      __UpperCamelCase       						= None
      return state





     def __setstate__(			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= d

      # for backward compatibility
      if not hasattr(self			,  'sp_model_kwargs'   ):
       __UpperCamelCase       						= {}

      __UpperCamelCase       						= spm.SentencePieceProcessor(**self.sp_model_kwargs   )
      self.sp_model.Load(self.vocab_file   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      if self.remove_space:
       __UpperCamelCase       						= ' '.join(inputs.strip().split()   )
      else:
       __UpperCamelCase       						= inputs
      __UpperCamelCase       						= outputs.replace('``'			,  '"'   ).replace('\'\''			,  '"'   )

      if not self.keep_accents:
       __UpperCamelCase       						= unicodedata.normalize('NFKD'			,  __UpperCAmelCase   )
       __UpperCamelCase       						= ''.join([c for c in outputs if not unicodedata.combining(__UpperCAmelCase   )]   )
      if self.do_lower_case:
       __UpperCamelCase       						= outputs.lower()

      return outputs





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




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

      return new_pieces





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      return self.sp_model.PieceToId(__UpperCAmelCase   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      return self.sp_model.IdToPiece(__UpperCAmelCase   )





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= ''.join(__UpperCAmelCase   ).replace(__UpperCAmelCase			,  ' '   ).strip()
      return out_string





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

      '''simple docstring'''




      __UpperCamelCase       						= [self.sep_token_id]
      __UpperCamelCase       						= [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			,  __UpperCAmelCase			,  __UpperCAmelCase = None			,  __UpperCAmelCase = False   ):

      '''simple docstring'''




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

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





     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

      '''simple docstring'''




      __UpperCamelCase       						= [self.sep_token_id]
      __UpperCamelCase       						= [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			,  __UpperCAmelCase			,  __UpperCAmelCase = None   ):

      '''simple docstring'''




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

      if os.path.abspath(self.vocab_file   ) != os.path.abspath(__UpperCAmelCase   ) and os.path.isfile(self.vocab_file   ):
       copyfile(self.vocab_file			,  __UpperCAmelCase   )
      elif not os.path.isfile(self.vocab_file   ):
       with open(__UpperCAmelCase			,  'wb'   ) as fi:
        __UpperCamelCase       						= self.sp_model.serialized_model_proto()
        fi.write(__UpperCAmelCase   )

      return (out_vocab_file,)







     def 		UpperCAmelCase      (			self			,  *__UpperCAmelCase			,  **__UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= super()._decode(*__UpperCAmelCase			,  **__UpperCAmelCase   )
      __UpperCamelCase       						= text.replace(' '			,  ''   ).replace('\u2582'			,  ' '   ).replace('\u2583'			,  '\n'   )
      return text





"""simple docstring"""

import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


UpperCamelCase			:       Union[str, Any]									=				"__DUMMY_TRANSFORMERS_USER__"
UpperCamelCase			:       List[Any]									=				"Dummy User"
UpperCamelCase			:       List[Any]									=				"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"

UpperCamelCase			:       Any									=				"https://hub-ci.huggingface.co"
UpperCamelCase			:       str									=				CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}"
UpperCamelCase			:       Optional[Any]									=				CI_HUB_ENDPOINT + "/{repo_id}/resolve/{revision}/{filename}"
UpperCamelCase			:       Optional[int]									=				Path("~/.huggingface/hub_ci_token").expanduser()






@pytest.fixture
def 							A		(       snake_case   :Optional[Any]	)   ->			Union[str, Any]:
 monkeypatch.setattr(
     'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'       ,      snake_case	)






@pytest.fixture
def 							A		(       snake_case   :str	)   ->			List[Any]:
 monkeypatch.setattr('datasets.config.HF_ENDPOINT'       ,      snake_case	)
 monkeypatch.setattr('datasets.config.HUB_DATASETS_URL'       ,      snake_case	)






@pytest.fixture
def 							A		(       snake_case   :Optional[int]	)   ->			Dict:
 monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token'       ,      snake_case	)






@pytest.fixture
def 							A		(       snake_case   :List[Any]       ,      snake_case   :Tuple	)   ->			Tuple:
 HfFolder.save_token(snake_case	)
 yield
 HfFolder.delete_token()






@pytest.fixture(scope='session'	)
def 							A		(       )   ->			List[Any]:
 return HfApi(endpoint=snake_case	)






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi	)   ->			List[Any]:
 __UpperCamelCase       						= HfFolder.get_token()
 HfFolder.save_token(snake_case	)
 yield CI_HUB_USER_TOKEN
 if previous_token is not None:
  HfFolder.save_token(snake_case	)






@pytest.fixture
def 							A		(       snake_case   :str	)   ->			str:
 def _cleanup_repo(snake_case   :Union[str, Any]	):
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)

 return _cleanup_repo






@pytest.fixture
def 							A		(       snake_case   :List[str]	)   ->			Any:
 @contextmanager
 def _temporary_repo(snake_case   :Tuple	):
  try:
   yield repo_id
  finally:
   cleanup_repo(snake_case	)

 return _temporary_repo






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi       ,      snake_case   :Dict       ,      snake_case   :Dict	)   ->			List[str]:
 __UpperCamelCase       						= f'repo_txt_data-{int(time.time() * 10e3	)}'
 __UpperCamelCase       						= f'{CI_HUB_USER}/{repo_name}'
 hf_api.create_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'       ,      private=snake_case	)
 hf_api.upload_file(
     token=snake_case       ,      path_or_fileobj=str(snake_case	)       ,      path_in_repo='data/text_data.txt'       ,      repo_id=snake_case       ,      repo_type='dataset'       ,      )
 yield repo_id
 try:
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 							A		(       snake_case   :Optional[int]       ,      snake_case   :str       ,      snake_case   :Tuple	)   ->			Any:
 return hf_private_dataset_repo_txt_data_






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi       ,      snake_case   :List[Any]       ,      snake_case   :str	)   ->			Optional[int]:
 __UpperCamelCase       						= f'repo_zipped_txt_data-{int(time.time() * 10e3	)}'
 __UpperCamelCase       						= f'{CI_HUB_USER}/{repo_name}'
 hf_api.create_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'       ,      private=snake_case	)
 hf_api.upload_file(
     token=snake_case       ,      path_or_fileobj=str(snake_case	)       ,      path_in_repo='data.zip'       ,      repo_id=snake_case       ,      repo_type='dataset'       ,      )
 yield repo_id
 try:
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 							A		(       snake_case   :int       ,      snake_case   :Optional[int]       ,      snake_case   :Optional[int]	)   ->			str:
 return hf_private_dataset_repo_zipped_txt_data_






@pytest.fixture(scope='session'	)
def 							A		(       snake_case   :HfApi       ,      snake_case   :List[str]       ,      snake_case   :Any	)   ->			List[Any]:
 __UpperCamelCase       						= f'repo_zipped_img_data-{int(time.time() * 10e3	)}'
 __UpperCamelCase       						= f'{CI_HUB_USER}/{repo_name}'
 hf_api.create_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'       ,      private=snake_case	)
 hf_api.upload_file(
     token=snake_case       ,      path_or_fileobj=str(snake_case	)       ,      path_in_repo='data.zip'       ,      repo_id=snake_case       ,      repo_type='dataset'       ,      )
 yield repo_id
 try:
  hf_api.delete_repo(snake_case       ,      token=snake_case       ,      repo_type='dataset'	)
 except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
  pass






@pytest.fixture()
def 							A		(       snake_case   :List[str]       ,      snake_case   :Optional[Any]       ,      snake_case   :Optional[int]	)   ->			Optional[int]:
 return hf_private_dataset_repo_zipped_img_data_



