



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


lowercase_	       =			logging.get_logger(__name__)

lowercase_	       =			{'''vocab_file''': '''spiece.model'''}

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






class 						__a (     SCREAMING_SNAKE_CASE				):



	def __init__(						self							:    List[str]				,	snake_case_							:    int				,	snake_case_							:    Tuple=False				,	snake_case_							:    List[Any]=True				,	snake_case_							:    Optional[Any]=False				,	snake_case_							:    Tuple="<s>"				,	snake_case_							:    Union[str, Any]="</s>"				,	snake_case_							:    Optional[int]="<unk>"				,	snake_case_							:    Dict="<sep>"				,	snake_case_							:    Dict="<pad>"				,	snake_case_							:    Tuple="<cls>"				,	snake_case_							:    Optional[int]="<mask>"				,	snake_case_							:    List[str]=["<eop>", "<eod>"]				,	snake_case_							:    Optional[Dict[str, Any]] = None				,	**snake_case_							:    Dict				,	)->							None:
						__lowerCAmelCase	   =AddedToken(snake_case_				,	lstrip=snake_case_				,	rstrip=snake_case_) if isinstance(snake_case_				,	snake_case_) else mask_token

						__lowerCAmelCase	   ={} if sp_model_kwargs is None else sp_model_kwargs

						super().__init__(
						    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_				,	sp_model_kwargs=self.sp_model_kwargs				,	**snake_case_				,	)

						__lowerCAmelCase	   =3

						__lowerCAmelCase	   =do_lower_case
						__lowerCAmelCase	   =remove_space
						__lowerCAmelCase	   =keep_accents
						__lowerCAmelCase	   =vocab_file

						__lowerCAmelCase	   =spm.SentencePieceProcessor(**self.sp_model_kwargs)
						self.sp_model.Load(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.""")
						__lowerCAmelCase	   =jieba
						__lowerCAmelCase	   =str.maketrans(""" \n"""				,	"""\u2582\u2583""")



	@property
	# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
	def 		UpperCamelCase							(						self							:    Union[str, Any])->							Any:
						return len(self.sp_model)



	def 		UpperCamelCase							(						self							:    Tuple)->							List[str]:
						__lowerCAmelCase	   ={self.convert_ids_to_tokens(snake_case_): i for i in range(self.vocab_size)}
						vocab.update(self.added_tokens_encoder)
						return vocab



	def __getstate__(						self							:    Dict)->							Optional[Any]:
						__lowerCAmelCase	   =self.__dict__.copy()
						__lowerCAmelCase	   =None
						return state



	def __setstate__(						self							:    List[str]				,	snake_case_							:    Dict)->							List[str]:
						__lowerCAmelCase	   =d

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

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



	def 		UpperCamelCase							(						self							:    Dict				,	snake_case_							:    int)->							List[str]:
						if self.remove_space:
											__lowerCAmelCase	   =""" """.join(inputs.strip().split())
						else:
											__lowerCAmelCase	   =inputs
						__lowerCAmelCase	   =outputs.replace("""``"""				,	"""\"""").replace("""''"""				,	"""\"""")

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

						return outputs



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

						return new_pieces



	def 		UpperCamelCase							(						self							:    List[Any]				,	snake_case_							:    Optional[Any])->							int:
						return self.sp_model.PieceToId(snake_case_)



	def 		UpperCamelCase							(						self							:    Tuple				,	snake_case_							:    Dict)->							List[str]:
						return self.sp_model.IdToPiece(snake_case_)



	def 		UpperCamelCase							(						self							:    List[str]				,	snake_case_							:    Dict)->							Dict:
						__lowerCAmelCase	   ="""""".join(snake_case_).replace(snake_case_				,	""" """).strip()
						return out_string



	def 		UpperCamelCase							(						self							:    int				,	snake_case_							:    List[int]				,	snake_case_							:    Optional[List[int]] = None)->							List[int]:
						__lowerCAmelCase	   =[self.sep_token_id]
						__lowerCAmelCase	   =[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							:    Dict				,	snake_case_							:    List[int]				,	snake_case_							:    Optional[List[int]] = None				,	snake_case_							:    bool = False)->							List[int]:

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

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



	def 		UpperCamelCase							(						self							:    Optional[Any]				,	snake_case_							:    List[int]				,	snake_case_							:    Optional[List[int]] = None)->							List[int]:
						__lowerCAmelCase	   =[self.sep_token_id]
						__lowerCAmelCase	   =[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							:    str				,	snake_case_							:    str				,	snake_case_							:    Optional[str] = None)->							Tuple[str]:
						if not os.path.isdir(snake_case_):
											logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
											return
						__lowerCAmelCase	   =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_) and os.path.isfile(self.vocab_file):
											copyfile(self.vocab_file				,	snake_case_)
						elif not os.path.isfile(self.vocab_file):
											with open(snake_case_				,	"""wb""") as fi:
																__lowerCAmelCase	   =self.sp_model.serialized_model_proto()
																fi.write(snake_case_)

						return (out_vocab_file,)



	def 		UpperCamelCase							(						self							:    List[str]				,	*snake_case_							:    List[str]				,	**snake_case_							:    List[str])->							int:
						__lowerCAmelCase	   =super()._decode(*snake_case_				,	**snake_case_)
						__lowerCAmelCase	   =text.replace(""" """				,	"""""").replace("""\u2582"""				,	""" """).replace("""\u2583"""				,	"""\n""")
						return text









def 					__lowerCAmelCase		(  __lowerCamelCase	:    list[int]	)  ->						int:
					if not numbers:
										return 0

					if not isinstance(__lowerCamelCase				,   (list, tuple)	) or not all(
					    isinstance(__lowerCamelCase				,   __lowerCamelCase	) for number in numbers	):
										raise ValueError("""numbers must be an iterable of integers"""	)

					__lowerCAmelCase	   =__lowerCAmelCase	   =__lowerCAmelCase	   =numbers[0]

					for i in range(1				,   len(__lowerCamelCase	)	):
										# update the maximum and minimum subarray products
										__lowerCAmelCase	   =numbers[i]
										if number < 0:
															__lowerCAmelCase   ,	__lowerCAmelCase	   =min_till_now, max_till_now
										__lowerCAmelCase	   =max(__lowerCamelCase				,   max_till_now * number	)
										__lowerCAmelCase	   =min(__lowerCamelCase				,   min_till_now * number	)

										# update the maximum product found till now
										__lowerCAmelCase	   =max(__lowerCamelCase				,   __lowerCamelCase	)

					return max_prod




