

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  :      Tuple			 =logging.get_logger(__name__)

_lowerCAmelCase  :      Optional[Any]			 ={"""vocab_file""": """spiece.model"""}

_lowerCAmelCase  :      Optional[int]			 ={
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    }
}

class __UpperCamelCase     (				A__		):






					'''simple docstring'''



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

						UpperCAmelCase__:	int									= {} 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_				,      )

						UpperCAmelCase__:	int									= 3

						UpperCAmelCase__:	List[str]									= do_lower_case
						UpperCAmelCase__:	List[Any]									= remove_space
						UpperCAmelCase__:	List[Any]									= keep_accents
						UpperCAmelCase__:	Tuple									= vocab_file

						UpperCAmelCase__:	Dict									= 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."						)
						UpperCAmelCase__:	Optional[int]									= jieba
						UpperCAmelCase__:	str									= str.maketrans(" \n"				,      "\u2582\u2583"						)





					@property
					# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
					def    _UpperCAmelCase    (				self						):
						return len(self.sp_model						)





					def    _UpperCAmelCase    (				self						):
						UpperCAmelCase__:	Optional[int]									= {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						):
						UpperCAmelCase__:	Union[str, Any]									= self.__dict__.copy()
						UpperCAmelCase__:	int									= None
						return state





					def __setstate__(				self				,      lowerCamelCase__						):
						UpperCAmelCase__:	Any									= d

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

						UpperCAmelCase__:	Optional[int]									= spm.SentencePieceProcessor(**self.sp_model_kwargs						)
						self.sp_model.Load(self.vocab_file						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__						):
						if self.remove_space:
							UpperCAmelCase__:	Any									= " ".join(inputs.strip().split()						)
						else:
							UpperCAmelCase__:	List[Any]									= inputs
						UpperCAmelCase__:	List[Any]									= outputs.replace("``"				,      "\""						).replace("''"				,      "\""						)

						if not self.keep_accents:
							UpperCAmelCase__:	Tuple									= unicodedata.normalize("NFKD"				,      snake_case_						)
							UpperCAmelCase__:	List[Any]									= "".join([c for c in outputs if not unicodedata.combining(snake_case_						)]						)
						if self.do_lower_case:
							UpperCAmelCase__:	Union[str, Any]									= outputs.lower()

						return outputs





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__						):
						UpperCAmelCase__:	str									= self.preprocess_text(snake_case_						)
						UpperCAmelCase__:	Dict									= self.sp_model.encode(snake_case_				,      out_type=snake_case_						)
						UpperCAmelCase__:	List[str]									= []
						for piece in pieces:
							if len(snake_case_						) > 1 and piece[-1] == str(","						) and piece[-2].isdigit():
								UpperCAmelCase__:	Dict									= 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:
										UpperCAmelCase__:	Union[str, Any]									= cur_pieces[1:]
									else:
										UpperCAmelCase__:	Dict									= 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				,      lowerCamelCase__						):
						return self.sp_model.PieceToId(snake_case_						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__						):
						return self.sp_model.IdToPiece(snake_case_						)





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__						):
						UpperCAmelCase__:	Union[str, Any]									= "".join(snake_case_						).replace(snake_case_				,      " "						).strip()
						return out_string





					def    _UpperCAmelCase    (				self				,      lowerCamelCase__				,      lowerCamelCase__ = None						):
						UpperCAmelCase__:	Union[str, Any]									= [self.sep_token_id]
						UpperCAmelCase__:	Tuple									= [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				,      lowerCamelCase__				,      lowerCamelCase__ = None				,      lowerCamelCase__ = False						):

						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				,      lowerCamelCase__				,      lowerCamelCase__ = None						):
						UpperCAmelCase__:	List[str]									= [self.sep_token_id]
						UpperCAmelCase__:	List[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				,      lowerCamelCase__				,      lowerCamelCase__ = None						):
						if not os.path.isdir(snake_case_						):
							logger.error(F"Vocabulary path ({save_directory}) should be a directory"						)
							return
						UpperCAmelCase__:	Dict									= 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:
								UpperCAmelCase__:	str									= self.sp_model.serialized_model_proto()
								fi.write(snake_case_						)

						return (out_vocab_file,)





					def    _UpperCAmelCase    (				self				,      *lowerCamelCase__				,      **lowerCamelCase__						):
						UpperCAmelCase__:	Dict									= super()._decode(*snake_case_				,      **snake_case_						)
						UpperCAmelCase__:	str									= text.replace(" "				,      ""						).replace("\u2582"				,      " "						).replace("\u2583"				,      "\n"						)
						return text

"""simple docstring"""
from __future__ import annotations

def  lowercase     (_lowerCAmelCase						):
						__lowerCAmelCase     =  2
						__lowerCAmelCase     =  []
						while i * i <= n:
												if n % i:
																		i += 1
												else:
																		n //= i
																		factors.append(_lowerCAmelCase						)
						if n > 1:
												factors.append(_lowerCAmelCase						)
						return factors


if __name__ == "__main__":
			import doctest

			doctest.testmod()
