"""simple docstring"""



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

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


_UpperCamelCase         =		logging.get_logger(__name__)

_UpperCamelCase         =		{"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_UpperCamelCase         =		{
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json",
    },
}
class 	__UpperCAmelCase						(__A    ):







			'''simple docstring'''





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







										'''simple docstring'''


										A__					:    Union[str, Any]														= AddedToken(snake_case_      ,			lstrip=snake_case_      ,			rstrip=snake_case_       ) if isinstance(snake_case_      ,			snake_case_       ) else mask_token

										super().__init__(
										    vocab_file=snake_case_      ,			tokenizer_file=snake_case_      ,			do_lower_case=snake_case_      ,			remove_space=snake_case_      ,			keep_accents=snake_case_      ,			bos_token=snake_case_      ,			eos_token=snake_case_      ,			unk_token=snake_case_      ,			sep_token=snake_case_      ,			pad_token=snake_case_      ,			cls_token=snake_case_      ,			mask_token=snake_case_      ,			additional_special_tokens=snake_case_      ,			**snake_case_      ,			)

										A__					:    Optional[int]														= 3
										A__					:    Tuple														= do_lower_case
										A__					:    Union[str, Any]														= remove_space
										A__					:    Tuple														= keep_accents
										A__					:    Tuple														= vocab_file
										A__					:    Any														= False if not self.vocab_file else True

										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."""       )
										A__					:    str														= jieba
										A__					:    Dict														= str.maketrans(""" \n"""      ,			"""\u2582\u2583"""       )





			def 		lowerCamelCase				( self      ,			snake_case_      ,			snake_case_ = None       ):







										'''simple docstring'''


										A__					:    int														= [self.sep_token_id]
										A__					:    Optional[int]														= [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 		lowerCamelCase				( self      ,			snake_case_      ,			snake_case_ = None       ):







										'''simple docstring'''


										A__					:    List[Any]														= [self.sep_token_id]
										A__					:    List[str]														= [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 		lowerCamelCase				( self      ,			snake_case_      ,			snake_case_ = None       ):







										'''simple docstring'''


										if not self.can_save_slow_tokenizer:
																	raise ValueError(
																	    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
																	    """tokenizer."""       )

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

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

										return (out_vocab_file,)





			def 		lowerCamelCase				( self      ,			snake_case_      ,			*snake_case_      ,			**snake_case_       ):







										'''simple docstring'''


										A__					:    int														= [
										    """ """.join([x.translate(self.translator       ) for x in self.jieba.cut(snake_case_      ,			cut_all=snake_case_       )]       )
										    for text in batch_text_or_text_pairs
										]
										return super()._batch_encode_plus(snake_case_      ,			*snake_case_      ,			**snake_case_       )





			def 		lowerCamelCase				( self      ,			*snake_case_      ,			**snake_case_       ):







										'''simple docstring'''


										A__					:    Any														= super()._decode(*snake_case_      ,			**snake_case_       )
										A__					:    Tuple														= text.replace(""" """      ,			""""""       ).replace("""\u2582"""      ,			""" """       ).replace("""\u2583"""      ,			"""\n"""       )
										return text






"""simple docstring"""



import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


_UpperCamelCase         =		set()
_UpperCamelCase         =		get_logger(__name__)

def    _A(		lowerCAmelCase = None       ):

							def decorator(lowerCAmelCase       ):
														global _emitted_deprecation_warnings

														if inspect.isclass(lowerCAmelCase       ):
																					A__					:    List[Any]														= deprecated_class_or_function.__init__
																					A__					:    Any														= deprecated_class_or_function.__name__
														else:
																					A__					:    Dict														= deprecated_class_or_function
																					A__					:    Optional[int]														= deprecated_function.__name__
																					# Support deprecating __init__ class method: class name instead
																					A__					:    List[str]														= name if name != """__init__""" else deprecated_function.__qualname__.split("""."""       )[-2]

														A__					:    Union[str, Any]														= (
														    F'''{name} is deprecated and will be removed in the next major version of datasets.''' + F''' {help_message}'''
														    if help_message
														    else """"""
														)

														@wraps(lowerCAmelCase       )
														def wrapper(*lowerCAmelCase ,     **lowerCAmelCase       ):
																					A__					:    Tuple														= hash(lowerCAmelCase       )
																					if func_hash not in _emitted_deprecation_warnings:
																												warnings.warn(lowerCAmelCase ,     category=lowerCAmelCase ,     stacklevel=2       )
																												_emitted_deprecation_warnings.add(lowerCAmelCase       )
																					return deprecated_function(*lowerCAmelCase ,     **lowerCAmelCase       )

														A__					:    int														= """deprecated"""

														if inspect.isclass(lowerCAmelCase       ):
																					A__					:    Union[str, Any]														= wrapper
																					return deprecated_class_or_function
														else:
																					return wrapper

							return decorator
class 	__UpperCAmelCase						(enum.EnumMeta    ):







			'''simple docstring'''





			def __getattribute__( cls      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Union[str, Any]														= super().__getattribute__(snake_case_       )
										if isinstance(snake_case_      ,			enum.Enum       ) and obj._on_access:
																	obj._on_access()
										return obj





			def __getitem__( cls      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Tuple														= super().__getitem__(snake_case_       )
										if member._on_access:
																	member._on_access()
										return member





			def __call__( cls      ,			snake_case_      ,			snake_case_=None      ,			*, snake_case_=None      ,			snake_case_=None      ,			snake_case_=None      ,			snake_case_=1       ):







										'''simple docstring'''


										A__					:    List[Any]														= super().__call__(snake_case_      ,			snake_case_      ,			module=snake_case_      ,			qualname=snake_case_      ,			type=snake_case_      ,			start=snake_case_       )
										if isinstance(snake_case_      ,			enum.Enum       ) and obj._on_access:
																	obj._on_access()
										return obj





class 	__UpperCAmelCase						(enum.Enum       ,      metaclass=__A    ):







			'''simple docstring'''





			def __new__( cls      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Tuple														= object.__new__(cls       )
										A__					:    int														= value
										A__					:    Optional[int]														= member.deprecate
										return member





			@property
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										return ""





			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										A__					:    Tuple														= F''' {self.help_message}''' if self.help_message else """"""
										warnings.warn(
										    F'''\'{self.__objclass__.__name__}\' is deprecated and will be removed in the next major version of datasets.'''
										    + help_message      ,			snake_case_      ,			stacklevel=3      ,			)





