

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 							UpperCAmelCase_						(     __lowercase  ):
							"""simple docstring"""







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

												_a      :       Optional[int]   =						{} 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			,				)

												_a      :       List[str]   =						3

												_a      :       str   =						do_lower_case
												_a      :       Optional[int]   =						remove_space
												_a      :       Optional[Any]   =						keep_accents
												_a      :       Optional[Any]   =						vocab_file

												_a      :       Optional[Any]   =						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.'''			)
												_a      :       Optional[Any]   =						jieba
												_a      :       Optional[int]   =						str.maketrans(''' \n'''			,				'''\u2582\u2583'''			)


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


							def 							__lowercase							(     self			)       ->       Optional[int]:
												_a      :       List[str]   =						{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			)       ->       Optional[int]:
												_a      :       Any   =						self.__dict__.copy()
												_a      :       Optional[Any]   =						None
												return state


							def __setstate__(     self			,				_a			)       ->       Union[str, Any]:
												_a      :       Union[str, Any]   =						d

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

												_a      :       List[str]   =						spm.SentencePieceProcessor(**self.sp_model_kwargs			)
												self.sp_model.Load(self.vocab_file			)


							def 							__lowercase							(     self			,				_a			)       ->       Any:
												if self.remove_space:
																	_a      :       Optional[Any]   =						''' '''.join(inputs.strip().split()			)
												else:
																	_a      :       Optional[int]   =						inputs
												_a      :       Optional[int]   =						outputs.replace('''``'''			,				'''"'''			).replace('''\'\''''			,				'''"'''			)

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

												return outputs


							def 							__lowercase							(     self			,				_a			)       ->       List[str]:
												_a      :       Optional[Any]   =						self.preprocess_text(_a			)
												_a      :       Optional[int]   =						self.sp_model.encode(_a			,				out_type=_a			)
												_a      :       str   =						[]
												for piece in pieces:
																	if len(_a			) > 1 and piece[-1] == str(''','''			) and piece[-2].isdigit():
																						_a      :       Tuple   =						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:
																																_a      :       List[Any]   =						cur_pieces[1:]
																											else:
																																_a      :       Dict   =						cur_pieces[0][1:]
																						cur_pieces.append(piece[-1]			)
																						new_pieces.extend(_a			)
																	else:
																						new_pieces.append(_a			)

												return new_pieces


							def 							__lowercase							(     self			,				_a			)       ->       Dict:
												return self.sp_model.PieceToId(_a			)


							def 							__lowercase							(     self			,				_a			)       ->       str:
												return self.sp_model.IdToPiece(_a			)


							def 							__lowercase							(     self			,				_a			)       ->       List[Any]:
												_a      :       Union[str, Any]   =						''''''.join(_a			).replace(_a			,				''' '''			).strip()
												return out_string


							def 							__lowercase							(     self			,				_a			,				_a = None			)       ->       List[int]:
												_a      :       str   =						[self.sep_token_id]
												_a      :       Any   =						[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 							__lowercase							(     self			,				_a			,				_a = None			,				_a = False			)       ->       List[int]:

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

												return (out_vocab_file,)




							def 							__lowercase							(     self			,				*_a			,				**_a			)       ->       Tuple:
												_a      :       Any   =						super()._decode(*_a			,				**_a			)
												_a      :       Union[str, Any]   =						text.replace(''' '''			,				''''''			).replace('''\u2582'''			,				''' '''			).replace('''\u2583'''			,				'''\n'''			)
												return text








from __future__ import annotations






class     __a			:



	def __init__(    self				:     Optional[int]					,						snake_case_				:     int = 0)->				List[str]:
						__lowerCAmelCase						 =key



	def 		UpperCamelCase				(    self				:     Any					,						snake_case_				:     str					,						snake_case_				:     int)->				list[str]:
						assert isinstance(snake_case_					,						snake_case_) and isinstance(snake_case_					,						snake_case_)

						__lowerCAmelCase						 =key or self.__key or 1

						# make sure key is an appropriate size
						key %= 2_55

						return [chr(ord(snake_case_) ^ key) for ch in content]



	def 		UpperCamelCase				(    self				:     Tuple					,						snake_case_				:     str					,						snake_case_				:     int)->				list[str]:
						assert isinstance(snake_case_					,						snake_case_) and isinstance(snake_case_					,						snake_case_)

						__lowerCAmelCase						 =key or self.__key or 1

						# make sure key is an appropriate size
						key %= 2_55

						return [chr(ord(snake_case_) ^ key) for ch in content]



	def 		UpperCamelCase				(    self				:     str					,						snake_case_				:     str					,						snake_case_				:     int = 0)->				str:
						assert isinstance(snake_case_					,						snake_case_) and isinstance(snake_case_					,						snake_case_)

						__lowerCAmelCase						 =key or self.__key or 1

						# make sure key can be any size
						while key > 2_55:
											key -= 2_55

						# This will be returned
						__lowerCAmelCase						 =""""""

						for ch in content:
											ans += chr(ord(snake_case_) ^ key)

						return ans



	def 		UpperCamelCase				(    self				:     Tuple					,						snake_case_				:     str					,						snake_case_				:     int = 0)->				str:
						assert isinstance(snake_case_					,						snake_case_) and isinstance(snake_case_					,						snake_case_)

						__lowerCAmelCase						 =key or self.__key or 1

						# make sure key can be any size
						while key > 2_55:
											key -= 2_55

						# This will be returned
						__lowerCAmelCase						 =""""""

						for ch in content:
											ans += chr(ord(snake_case_) ^ key)

						return ans



	def 		UpperCamelCase				(    self				:     int					,						snake_case_				:     str					,						snake_case_				:     int = 0)->				bool:
						assert isinstance(snake_case_					,						snake_case_) and isinstance(snake_case_					,						snake_case_)

						try:
											with open(snake_case_) as fin, open("""encrypt.out"""					,						"""w+""") as fout:
																# actual encrypt-process
																for line in fin:
																					fout.write(self.encrypt_string(snake_case_					,						snake_case_))

						except OSError:
											return False

						return True



	def 		UpperCamelCase				(    self				:     Tuple					,						snake_case_				:     str					,						snake_case_				:     int)->				bool:
						assert isinstance(snake_case_					,						snake_case_) and isinstance(snake_case_					,						snake_case_)

						try:
											with open(snake_case_) as fin, open("""decrypt.out"""					,						"""w+""") as fout:
																# actual encrypt-process
																for line in fin:
																					fout.write(self.decrypt_string(snake_case_					,						snake_case_))

						except OSError:
											return False

						return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")




