import os
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 logging


A_      =      logging.get_logger(__name__)

A_      =      {"vocab_file": "sentencepiece.bpe.model"}

A_      =      {
    "vocab_file": {
        "moussaKam/mbarthez": "https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez": "https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez-orangesum-title": (
            "https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"
        ),
    },
}

A_      =      {
    "moussaKam/mbarthez": 1024,
    "moussaKam/barthez": 1024,
    "moussaKam/barthez-orangesum-title": 1024,
}

A_      =      "▁"






class      __lowercase					(    _A    ):
						lowercase					 =     VOCAB_FILES_NAMES
						lowercase					 =     PRETRAINED_VOCAB_FILES_MAP
						lowercase					 =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						lowercase					 =     ['input_ids', 'attention_mask']

						def __init__(	self				:      Tuple							,							__lowerCamelCase				:      Tuple							,							__lowerCamelCase				:      int="<s>"							,							__lowerCamelCase				:      Dict="</s>"							,							__lowerCamelCase				:      Union[str, Any]="</s>"							,							__lowerCamelCase				:      List[Any]="<s>"							,							__lowerCamelCase				:      List[str]="<unk>"							,							__lowerCamelCase				:      Any="<pad>"							,							__lowerCamelCase				:      Union[str, Any]="<mask>"							,							__lowerCamelCase				:      Optional[Dict[str, Any]] = None							,							**__lowerCamelCase				:      List[str]							,							)							->		None:


									'''simple docstring'''

									lowercase							=		AddedToken(__lowerCamelCase							,							lstrip=__lowerCamelCase							,							rstrip=__lowerCamelCase   ) if isinstance(__lowerCamelCase							,							__lowerCamelCase   ) else mask_token

									lowercase							=		{} if sp_model_kwargs is None else sp_model_kwargs

									super().__init__(
									    bos_token=__lowerCamelCase							,							eos_token=__lowerCamelCase							,							unk_token=__lowerCamelCase							,							sep_token=__lowerCamelCase							,							cls_token=__lowerCamelCase							,							pad_token=__lowerCamelCase							,							mask_token=__lowerCamelCase							,							sp_model_kwargs=self.sp_model_kwargs							,							**__lowerCamelCase							,							)

									lowercase							=		vocab_file
									lowercase							=		spm.SentencePieceProcessor(**self.sp_model_kwargs   )
									self.sp_model.Load(str(__lowerCamelCase   )   )

									lowercase							=		{'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

									lowercase							=		len(self.sp_model   ) - 1
									lowercase							=		{v: k for k, v in self.fairseq_tokens_to_ids.items()}

						def        __a		(	self				:      int							,							__lowerCamelCase				:      List[int]							,							__lowerCamelCase				:      Optional[List[int]] = None   )							->		List[int]:


									'''simple docstring'''

									if token_ids_a is None:
												return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									lowercase							=		[self.cls_token_id]
									lowercase							=		[self.sep_token_id]
									return cls + token_ids_a + sep + sep + token_ids_a + sep

						def        __a		(	self				:      List[Any]							,							__lowerCamelCase				:      List[int]							,							__lowerCamelCase				:      Optional[List[int]] = None							,							__lowerCamelCase				:      bool = False   )							->		List[int]:


									'''simple docstring'''

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

									if token_ids_a is None:
												return [1] + ([0] * len(__lowerCamelCase   )) + [1]
									return [1] + ([0] * len(__lowerCamelCase   )) + [1, 1] + ([0] * len(__lowerCamelCase   )) + [1]

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      List[int]							,							__lowerCamelCase				:      Optional[List[int]] = None   )							->		List[int]:


									'''simple docstring'''

									lowercase							=		[self.sep_token_id]
									lowercase							=		[self.cls_token_id]

									if token_ids_a is None:
												return len(cls + token_ids_a + sep   ) * [0]
									return len(cls + token_ids_a + sep + sep + token_ids_a + sep   ) * [0]

						@property
						def        __a		(	self				:      Optional[int]   )							->		Any:


									'''simple docstring'''

									return len(self.sp_model   )

						def        __a		(	self				:      List[Any]   )							->		Dict:


									'''simple docstring'''

									lowercase							=		{self.convert_ids_to_tokens(__lowerCamelCase   ): i for i in range(self.vocab_size   )}
									vocab.update(self.added_tokens_encoder   )
									return vocab

						def        __a		(	self				:      List[Any]							,							__lowerCamelCase				:      str   )							->		List[str]:


									'''simple docstring'''

									return self.sp_model.encode(__lowerCamelCase							,							out_type=__lowerCamelCase   )

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      Any   )							->		str:


									'''simple docstring'''

									if token in self.fairseq_tokens_to_ids:
												return self.fairseq_tokens_to_ids[token]
									lowercase							=		self.sp_model.PieceToId(__lowerCamelCase   )

									return spm_id if spm_id else self.unk_token_id

						def        __a		(	self				:      List[Any]							,							__lowerCamelCase				:      str   )							->		List[Any]:


									'''simple docstring'''

									if index in self.fairseq_ids_to_tokens:
												return self.fairseq_ids_to_tokens[index]
									return self.sp_model.IdToPiece(__lowerCamelCase   )

						def        __a		(	self				:      List[str]							,							__lowerCamelCase				:      Union[str, Any]   )							->		Optional[Any]:


									'''simple docstring'''

									lowercase							=		[]
									lowercase							=		''''''
									lowercase							=		False
									for token in tokens:
												# make sure that special tokens are not decoded using sentencepiece model
												if token in self.all_special_tokens:
															if not prev_is_special:
																		out_string += " "
															out_string += self.sp_model.decode(__lowerCamelCase   ) + token
															lowercase							=		True
															lowercase							=		[]
												else:
															current_sub_tokens.append(__lowerCamelCase   )
															lowercase							=		False
									out_string += self.sp_model.decode(__lowerCamelCase   )
									return out_string.strip()

						def __getstate__(	self				:      Dict   )							->		Union[str, Any]:


									'''simple docstring'''

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

						def __setstate__(	self				:      List[str]							,							__lowerCamelCase				:      Optional[Any]   )							->		List[Any]:


									'''simple docstring'''

									lowercase							=		d

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

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



						def        __a		(	self				:      List[str]							,							__lowerCamelCase				:      str							,							__lowerCamelCase				:      Optional[str] = None   )							->		Tuple[str]:


									'''simple docstring'''

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

									if os.path.abspath(self.vocab_file   ) != os.path.abspath(__lowerCamelCase   ) and os.path.isfile(self.vocab_file   ):
												copyfile(self.vocab_file							,							__lowerCamelCase   )
									elif not os.path.isfile(self.vocab_file   ):
												with open(__lowerCamelCase							,							'''wb'''   ) as fi:
															lowercase							=		self.sp_model.serialized_model_proto()
															fi.write(__lowerCamelCase   )

									return (out_vocab_file,)






import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

A_      =      3






def        __UpperCAmelCase    (       UpperCAmelCase       )->       int:



			"""simple docstring"""







			print('''Generating primitive root of p'''       )
			while True:
						lowercase							=		random.randrange(3,		UpperCAmelCase       )
						if pow(UpperCAmelCase,		2,		UpperCAmelCase       ) == 1:
									continue
						if pow(UpperCAmelCase,		UpperCAmelCase,		UpperCAmelCase       ) == 1:
									continue
						return g






def        __UpperCAmelCase    (       UpperCAmelCase       )->       tuple[tuple[int, int, int, int], tuple[int, int]]:



			"""simple docstring"""







			print('''Generating prime p...'''       )
			lowercase							=		rabin_miller.generate_large_prime(UpperCAmelCase       )  # select large prime number.
			lowercase							=		primitive_root(UpperCAmelCase       )  # one primitive root on modulo p.
			lowercase							=		random.randrange(3,		UpperCAmelCase       )  # private_key -> have to be greater than 2 for safety.
			lowercase							=		cryptomath.find_mod_inverse(pow(UpperCAmelCase,		UpperCAmelCase,		UpperCAmelCase       ),		UpperCAmelCase       )

			lowercase							=		(key_size, e_a, e_a, p)
			lowercase							=		(key_size, d)

			return public_key, private_key






def        __UpperCAmelCase    (       UpperCAmelCase,		UpperCAmelCase       )->       None:



			"""simple docstring"""







			if os.path.exists(f'{name}_pubkey.txt'       ) or os.path.exists(f'{name}_privkey.txt'       ):
						print('''\nWARNING:'''       )
						print(
						    f'"{name}_pubkey.txt" or "{name}_privkey.txt" already exists. \n'
						    '''Use a different name or delete these files and re-run this program.'''       )
						sys.exit()

			lowercase		,lowercase							=		generate_key(UpperCAmelCase       )
			print(f'\nWriting public key to file {name}_pubkey.txt...'       )
			with open(f'{name}_pubkey.txt',		'''w'''       ) as fo:
						fo.write(f'{public_key[0]},{public_key[1]},{public_key[2]},{public_key[3]}'       )

			print(f'Writing private key to file {name}_privkey.txt...'       )
			with open(f'{name}_privkey.txt',		'''w'''       ) as fo:
						fo.write(f'{private_key[0]},{private_key[1]}'       )






def        __UpperCAmelCase    (       )->       None:



			"""simple docstring"""







			print('''Making key files...'''       )
			make_key_files('''elgamal''',		2048       )
			print('''Key files generation successful'''       )


if __name__ == "__main__":
						main()





