






'''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


a__       =     logging.get_logger(__name__)

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

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


class    _lowerCAmelCase			(		__lowercase      ):



				"""simple docstring"""



				def __init__(      self    :    str			,		UpperCamelCase__    :    Optional[Any]			,		UpperCamelCase__    :    Tuple=False			,		UpperCamelCase__    :    List[str]=True			,		UpperCamelCase__    :    List[str]=False			,		UpperCamelCase__    :    Union[str, Any]="<s>"			,		UpperCamelCase__    :    str="</s>"			,		UpperCamelCase__    :    Any="<unk>"			,		UpperCamelCase__    :    Union[str, Any]="<sep>"			,		UpperCamelCase__    :    Dict="<pad>"			,		UpperCamelCase__    :    int="<cls>"			,		UpperCamelCase__    :    Dict="<mask>"			,		UpperCamelCase__    :    Optional[int]=["<eop>", "<eod>"]			,		UpperCamelCase__    :    Optional[Dict[str, Any]] = None			,		**UpperCamelCase__    :    str			,		):






											'''simple docstring'''







											snake_case__	  =       AddedToken(_A			,		lstrip=_A			,		rstrip=_A) if isinstance(_A			,		_A) else mask_token

											snake_case__	  =       {} if sp_model_kwargs is None else sp_model_kwargs

											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			,		additional_special_tokens=_A			,		sp_model_kwargs=self.sp_model_kwargs			,		**_A			,		)

											snake_case__	  =       3

											snake_case__	  =       do_lower_case
											snake_case__	  =       remove_space
											snake_case__	  =       keep_accents
											snake_case__	  =       vocab_file

											snake_case__	  =       spm.SentencePieceProcessor(**self.sp_model_kwargs)
											self.sp_model.Load(_A)

											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.""")
											snake_case__	  =       jieba
											snake_case__	  =       str.maketrans(""" \n"""			,		"""\u2582\u2583""")



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






											'''simple docstring'''







											return len(self.sp_model)



				def 					__magic_name__							(      self    :    str):






											'''simple docstring'''







											snake_case__	  =       {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    :    str):






											'''simple docstring'''







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



				def __setstate__(      self    :    Any			,		UpperCamelCase__    :    List[str]):






											'''simple docstring'''







											snake_case__	  =       d

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

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



				def 					__magic_name__							(      self    :    Tuple			,		UpperCamelCase__    :    List[Any]):






											'''simple docstring'''







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

											if not self.keep_accents:
																		snake_case__	  =       unicodedata.normalize("""NFKD"""			,		_A)
																		snake_case__	  =       """""".join([c for c in outputs if not unicodedata.combining(_A)])
											if self.do_lower_case:
																		snake_case__	  =       outputs.lower()

											return outputs



				def 					__magic_name__							(      self    :    Optional[int]			,		UpperCamelCase__    :    str):






											'''simple docstring'''







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

											return new_pieces



				def 					__magic_name__							(      self    :    List[Any]			,		UpperCamelCase__    :    str):






											'''simple docstring'''







											return self.sp_model.PieceToId(_A)



				def 					__magic_name__							(      self    :    int			,		UpperCamelCase__    :    Union[str, Any]):






											'''simple docstring'''







											return self.sp_model.IdToPiece(_A)



				def 					__magic_name__							(      self    :    Optional[Any]			,		UpperCamelCase__    :    List[Any]):






											'''simple docstring'''







											snake_case__	  =       """""".join(_A).replace(_A			,		""" """).strip()
											return out_string



				def 					__magic_name__							(      self    :    Optional[int]			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None):






											'''simple docstring'''







											snake_case__	  =       [self.sep_token_id]
											snake_case__	  =       [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 					__magic_name__							(      self    :    int			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None			,		UpperCamelCase__    :    bool = False):






											'''simple docstring'''







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

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



				def 					__magic_name__							(      self    :    Optional[int]			,		UpperCamelCase__    :    List[int]			,		UpperCamelCase__    :    Optional[List[int]] = None):






											'''simple docstring'''







											snake_case__	  =       [self.sep_token_id]
											snake_case__	  =       [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 					__magic_name__							(      self    :    List[Any]			,		UpperCamelCase__    :    str			,		UpperCamelCase__    :    Optional[str] = None):






											'''simple docstring'''







											if not os.path.isdir(_A):
																		logger.error(F'''Vocabulary path ({save_directory}) should be a directory''')
																		return
											snake_case__	  =       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) and os.path.isfile(self.vocab_file):
																		copyfile(self.vocab_file			,		_A)
											elif not os.path.isfile(self.vocab_file):
																		with open(_A			,		"""wb""") as fi:
																									snake_case__	  =       self.sp_model.serialized_model_proto()
																									fi.write(_A)

											return (out_vocab_file,)



				def 					__magic_name__							(      self    :    Dict			,		*UpperCamelCase__    :    List[str]			,		**UpperCamelCase__    :    Any):






											'''simple docstring'''







											snake_case__	  =       super()._decode(*_A			,		**_A)
											snake_case__	  =       text.replace(""" """			,		"""""").replace("""\u2582"""			,		""" """).replace("""\u2583"""			,		"""\n""")
											return text








import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout

def _UpperCAmelCase   (	a						:	List[Any] ):
							snake_case__	  =       FileLock(str(tmpdir / """foo.lock""" ) )
							snake_case__	  =       FileLock(str(tmpdir / """foo.lock""" ) )
							snake_case__	  =       0.01
							with locka.acquire():
														with pytest.raises(a ):
																					snake_case__	  =       time.time()
																					locka.acquire(a )
																					assert time.time() - _start > timeout



def _UpperCAmelCase   (	a						:	str ):
							snake_case__	  =       """a""" * 1000 + """.lock"""
							snake_case__	  =       FileLock(str(tmpdir / filename ) )
							assert locka._lock_file.endswith(""".lock""" )
							assert not locka._lock_file.endswith(a )
							assert len(os.path.basename(locka._lock_file ) ) <= 255
							snake_case__	  =       FileLock(tmpdir / filename )
							with locka.acquire():
														with pytest.raises(a ):
																					locka.acquire(0 )
