


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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging


lowerCamelCase						=		logging.get_logger(__name__)

lowerCamelCase						=		'''▁'''

lowerCamelCase						=		{'''vocab_file''': '''sentencepiece.bpe.model'''}

lowerCamelCase						=		{
    '''vocab_file''': {
        '''facebook/nllb-200-distilled-600M''': (
            '''https://huggingface.co/facebook/nllb-200-distilled-600M/blob/main/sentencepiece.bpe.model'''
        ),
    }
}

lowerCamelCase						=		{
    '''facebook/nllb-200-distilled-600M''': 1024,
}

# fmt: off
lowerCamelCase						=		['''ace_Arab''', '''ace_Latn''', '''acm_Arab''', '''acq_Arab''', '''aeb_Arab''', '''afr_Latn''', '''ajp_Arab''', '''aka_Latn''', '''amh_Ethi''', '''apc_Arab''', '''arb_Arab''', '''ars_Arab''', '''ary_Arab''', '''arz_Arab''', '''asm_Beng''', '''ast_Latn''', '''awa_Deva''', '''ayr_Latn''', '''azb_Arab''', '''azj_Latn''', '''bak_Cyrl''', '''bam_Latn''', '''ban_Latn''', '''bel_Cyrl''', '''bem_Latn''', '''ben_Beng''', '''bho_Deva''', '''bjn_Arab''', '''bjn_Latn''', '''bod_Tibt''', '''bos_Latn''', '''bug_Latn''', '''bul_Cyrl''', '''cat_Latn''', '''ceb_Latn''', '''ces_Latn''', '''cjk_Latn''', '''ckb_Arab''', '''crh_Latn''', '''cym_Latn''', '''dan_Latn''', '''deu_Latn''', '''dik_Latn''', '''dyu_Latn''', '''dzo_Tibt''', '''ell_Grek''', '''eng_Latn''', '''epo_Latn''', '''est_Latn''', '''eus_Latn''', '''ewe_Latn''', '''fao_Latn''', '''pes_Arab''', '''fij_Latn''', '''fin_Latn''', '''fon_Latn''', '''fra_Latn''', '''fur_Latn''', '''fuv_Latn''', '''gla_Latn''', '''gle_Latn''', '''glg_Latn''', '''grn_Latn''', '''guj_Gujr''', '''hat_Latn''', '''hau_Latn''', '''heb_Hebr''', '''hin_Deva''', '''hne_Deva''', '''hrv_Latn''', '''hun_Latn''', '''hye_Armn''', '''ibo_Latn''', '''ilo_Latn''', '''ind_Latn''', '''isl_Latn''', '''ita_Latn''', '''jav_Latn''', '''jpn_Jpan''', '''kab_Latn''', '''kac_Latn''', '''kam_Latn''', '''kan_Knda''', '''kas_Arab''', '''kas_Deva''', '''kat_Geor''', '''knc_Arab''', '''knc_Latn''', '''kaz_Cyrl''', '''kbp_Latn''', '''kea_Latn''', '''khm_Khmr''', '''kik_Latn''', '''kin_Latn''', '''kir_Cyrl''', '''kmb_Latn''', '''kon_Latn''', '''kor_Hang''', '''kmr_Latn''', '''lao_Laoo''', '''lvs_Latn''', '''lij_Latn''', '''lim_Latn''', '''lin_Latn''', '''lit_Latn''', '''lmo_Latn''', '''ltg_Latn''', '''ltz_Latn''', '''lua_Latn''', '''lug_Latn''', '''luo_Latn''', '''lus_Latn''', '''mag_Deva''', '''mai_Deva''', '''mal_Mlym''', '''mar_Deva''', '''min_Latn''', '''mkd_Cyrl''', '''plt_Latn''', '''mlt_Latn''', '''mni_Beng''', '''khk_Cyrl''', '''mos_Latn''', '''mri_Latn''', '''zsm_Latn''', '''mya_Mymr''', '''nld_Latn''', '''nno_Latn''', '''nob_Latn''', '''npi_Deva''', '''nso_Latn''', '''nus_Latn''', '''nya_Latn''', '''oci_Latn''', '''gaz_Latn''', '''ory_Orya''', '''pag_Latn''', '''pan_Guru''', '''pap_Latn''', '''pol_Latn''', '''por_Latn''', '''prs_Arab''', '''pbt_Arab''', '''quy_Latn''', '''ron_Latn''', '''run_Latn''', '''rus_Cyrl''', '''sag_Latn''', '''san_Deva''', '''sat_Beng''', '''scn_Latn''', '''shn_Mymr''', '''sin_Sinh''', '''slk_Latn''', '''slv_Latn''', '''smo_Latn''', '''sna_Latn''', '''snd_Arab''', '''som_Latn''', '''sot_Latn''', '''spa_Latn''', '''als_Latn''', '''srd_Latn''', '''srp_Cyrl''', '''ssw_Latn''', '''sun_Latn''', '''swe_Latn''', '''swh_Latn''', '''szl_Latn''', '''tam_Taml''', '''tat_Cyrl''', '''tel_Telu''', '''tgk_Cyrl''', '''tgl_Latn''', '''tha_Thai''', '''tir_Ethi''', '''taq_Latn''', '''taq_Tfng''', '''tpi_Latn''', '''tsn_Latn''', '''tso_Latn''', '''tuk_Latn''', '''tum_Latn''', '''tur_Latn''', '''twi_Latn''', '''tzm_Tfng''', '''uig_Arab''', '''ukr_Cyrl''', '''umb_Latn''', '''urd_Arab''', '''uzn_Latn''', '''vec_Latn''', '''vie_Latn''', '''war_Latn''', '''wol_Latn''', '''xho_Latn''', '''ydd_Hebr''', '''yor_Latn''', '''yue_Hant''', '''zho_Hans''', '''zho_Hant''', '''zul_Latn''']





class  _a							(    _lowercase):
	_a  :  List[Any]				   =							VOCAB_FILES_NAMES
	_a  :  Tuple				   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_a  :  int				   =							PRETRAINED_VOCAB_FILES_MAP
	_a  :  Any				   =							['''input_ids''', '''attention_mask''']

	_a  :  List[int]				   =							[]
	_a  :  List[int]				   =							[]




	def __init__( self						:		int		, _SCREAMING_SNAKE_CASE						:		Dict		, _SCREAMING_SNAKE_CASE						:		Optional[Any]="<s>"		, _SCREAMING_SNAKE_CASE						:		Union[str, Any]="</s>"		, _SCREAMING_SNAKE_CASE						:		List[Any]="</s>"		, _SCREAMING_SNAKE_CASE						:		Any="<s>"		, _SCREAMING_SNAKE_CASE						:		Any="<unk>"		, _SCREAMING_SNAKE_CASE						:		str="<pad>"		, _SCREAMING_SNAKE_CASE						:		Optional[Any]="<mask>"		, _SCREAMING_SNAKE_CASE						:		Dict=None		, _SCREAMING_SNAKE_CASE						:		Tuple=None		, _SCREAMING_SNAKE_CASE						:		Optional[int]=None		, _SCREAMING_SNAKE_CASE						:		Optional[Dict[str, Any]] = None		, _SCREAMING_SNAKE_CASE						:		Optional[int]=None		, _SCREAMING_SNAKE_CASE						:		Tuple=False		, **_SCREAMING_SNAKE_CASE						:		Union[str, Any]		, )->	List[str]:
			# Mask token behave like a normal word, i.e. include the space before it
			lowerCAmelCase__       :      Tuple   					= AddedToken(_SCREAMING_SNAKE_CASE		, lstrip=_SCREAMING_SNAKE_CASE		, rstrip=_SCREAMING_SNAKE_CASE		) if isinstance(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		) else mask_token

			lowerCAmelCase__       :      Dict   					= {} if sp_model_kwargs is None else sp_model_kwargs
			lowerCAmelCase__       :      Dict   					= legacy_behaviour

			super().__init__(
			    bos_token=_SCREAMING_SNAKE_CASE		, eos_token=_SCREAMING_SNAKE_CASE		, unk_token=_SCREAMING_SNAKE_CASE		, sep_token=_SCREAMING_SNAKE_CASE		, cls_token=_SCREAMING_SNAKE_CASE		, pad_token=_SCREAMING_SNAKE_CASE		, mask_token=_SCREAMING_SNAKE_CASE		, tokenizer_file=_SCREAMING_SNAKE_CASE		, src_lang=_SCREAMING_SNAKE_CASE		, tgt_lang=_SCREAMING_SNAKE_CASE		, additional_special_tokens=_SCREAMING_SNAKE_CASE		, sp_model_kwargs=self.sp_model_kwargs		, legacy_behaviour=_SCREAMING_SNAKE_CASE		, **_SCREAMING_SNAKE_CASE		, )

			lowerCAmelCase__       :      Any   					= spm.SentencePieceProcessor(**self.sp_model_kwargs		)
			self.sp_model.Load(str(_SCREAMING_SNAKE_CASE		)		)
			lowerCAmelCase__       :      Union[str, Any]   					= vocab_file
			# Original fairseq vocab and spm vocab must be "aligned":
			# Vocab    |    0    |    1    |   2    |    3    |  4   |  5   |  6   |   7  |   8  |  9
			# -------- | ------- | ------- | ------ | ------- | ---- | ---- | ---- | ---- | ---- | ----
			# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | 'an' | '▁n' | '▁m' | '▁t' | '▁k' | '▁a'
			# spm      | '<unk>' | '<s>'   | '</s>' | 'an'    | '▁n' | '▁m' | '▁t' | '▁k' | '▁a' | '▁s'

			# Mimic fairseq token-to-id alignment for the first 4 token
			lowerCAmelCase__       :      Dict   					= {'''<s>''': 0, '''<pad>''': 1, '''</s>''': 2, '''<unk>''': 3}

			# The first "real" token "," has position 4 in the original fairseq vocab and position 3 in the spm vocab
			lowerCAmelCase__       :      List[Any]   					= 1

			lowerCAmelCase__       :      Dict   					= len(self.sp_model		)
			lowerCAmelCase__       :      Optional[Any]   					= {
			    code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(_SCREAMING_SNAKE_CASE		)
			}
			lowerCAmelCase__       :      Union[str, Any]   					= {v: k for k, v in self.lang_code_to_id.items()}
			lowerCAmelCase__       :      int   					= len(self.sp_model		) + len(self.lang_code_to_id		) + self.fairseq_offset

			self.fairseq_tokens_to_ids.update(self.lang_code_to_id		)
			lowerCAmelCase__       :      Tuple   					= {v: k for k, v in self.fairseq_tokens_to_ids.items()}
			lowerCAmelCase__       :      Optional[int]   					= list(self.lang_code_to_id.keys()		)

			if additional_special_tokens is not None:
					# Only add those special tokens if they are not already there.
					self._additional_special_tokens.extend(
					    [t for t in additional_special_tokens if t not in self._additional_special_tokens]		)

			lowerCAmelCase__       :      Optional[Any]   					= src_lang if src_lang is not None else '''eng_Latn'''
			lowerCAmelCase__       :      Dict   					= self.lang_code_to_id[self._src_lang]
			lowerCAmelCase__       :      int   					= tgt_lang
			self.set_src_lang_special_tokens(self._src_lang		)




	def __getstate__( self						:		List[Any]		)->	List[Any]:
			lowerCAmelCase__       :      List[str]   					= self.__dict__.copy()
			lowerCAmelCase__       :      Any   					= None
			lowerCAmelCase__       :      Optional[int]   					= self.sp_model.serialized_model_proto()
			return state




	def __setstate__( self						:		List[Any]		, _SCREAMING_SNAKE_CASE						:		List[str]		)->	str:
			lowerCAmelCase__       :      str   					= d

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

			lowerCAmelCase__       :      List[Any]   					= spm.SentencePieceProcessor(**self.sp_model_kwargs		)
			self.sp_model.LoadFromSerializedProto(self.sp_model_proto		)




	@property
	def 							UpperCAmelCase__( self						:		Any		)->	Optional[int]:
			return len(self.sp_model		) + len(self.lang_code_to_id		) + self.fairseq_offset + 1  # Plus 1 for the mask token




	@property
	def 							UpperCAmelCase__( self						:		List[Any]		)->	str:
			return self._src_lang




	@src_lang.setter
	def 							UpperCAmelCase__( self						:		Dict		, _SCREAMING_SNAKE_CASE						:		str		)->	None:
			lowerCAmelCase__       :      int   					= new_src_lang
			self.set_src_lang_special_tokens(self._src_lang		)




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

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

			lowerCAmelCase__       :      List[Any]   					= [1] * len(self.prefix_tokens		)
			lowerCAmelCase__       :      Any   					= [1] * len(self.suffix_tokens		)
			if token_ids_a is None:
					return prefix_ones + ([0] * len(_SCREAMING_SNAKE_CASE		)) + suffix_ones
			return prefix_ones + ([0] * len(_SCREAMING_SNAKE_CASE		)) + ([0] * len(_SCREAMING_SNAKE_CASE		)) + suffix_ones




	def 							UpperCAmelCase__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		List[int]		, _SCREAMING_SNAKE_CASE						:		Optional[List[int]] = None		)->	List[int]:
			if token_ids_a is None:
					return self.prefix_tokens + token_ids_a + self.suffix_tokens
			# We don't expect to process pairs, but leave the pair logic for API consistency
			return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens




	def 							UpperCAmelCase__( self						:		Optional[int]		, _SCREAMING_SNAKE_CASE						:		List[int]		, _SCREAMING_SNAKE_CASE						:		Optional[List[int]] = None		)->	List[int]:
			lowerCAmelCase__       :      int   					= [self.sep_token_id]
			lowerCAmelCase__       :      Optional[Any]   					= [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]




	def 							UpperCAmelCase__( self						:		Optional[Any]		, _SCREAMING_SNAKE_CASE						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		str		, _SCREAMING_SNAKE_CASE						:		Optional[str]		, _SCREAMING_SNAKE_CASE						:		Optional[str]		, **_SCREAMING_SNAKE_CASE						:		Optional[Any]		)->	str:
			if src_lang is None or tgt_lang is None:
					raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''		)
			lowerCAmelCase__       :      Optional[Any]   					= src_lang
			lowerCAmelCase__       :      int   					= self(_SCREAMING_SNAKE_CASE		, add_special_tokens=_SCREAMING_SNAKE_CASE		, return_tensors=_SCREAMING_SNAKE_CASE		, **_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      int   					= self.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      List[str]   					= tgt_lang_id
			return inputs




	def 							UpperCAmelCase__( self						:		str		)->	str:
			lowerCAmelCase__       :      Union[str, Any]   					= {self.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE		): i for i in range(self.vocab_size		)}
			vocab.update(self.added_tokens_encoder		)
			return vocab




	def 							UpperCAmelCase__( self						:		List[Any]		, _SCREAMING_SNAKE_CASE						:		str		)->	List[str]:
			return self.sp_model.encode(_SCREAMING_SNAKE_CASE		, out_type=_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		int		, _SCREAMING_SNAKE_CASE						:		List[str]		)->	Optional[Any]:
			if token in self.fairseq_tokens_to_ids:
					return self.fairseq_tokens_to_ids[token]
			lowerCAmelCase__       :      Union[str, Any]   					= self.sp_model.PieceToId(_SCREAMING_SNAKE_CASE		)

			# Need to return unknown token if the SP model returned 0
			return spm_id + self.fairseq_offset if spm_id else self.unk_token_id




	def 							UpperCAmelCase__( self						:		Union[str, Any]		, _SCREAMING_SNAKE_CASE						:		Optional[Any]		)->	Optional[Any]:
			if index in self.fairseq_ids_to_tokens:
					return self.fairseq_ids_to_tokens[index]
			return self.sp_model.IdToPiece(index - self.fairseq_offset		)




	def 							UpperCAmelCase__( self						:		Optional[Any]		, _SCREAMING_SNAKE_CASE						:		Optional[int]		)->	Optional[int]:
			lowerCAmelCase__       :      Union[str, Any]   					= ''''''.join(_SCREAMING_SNAKE_CASE		).replace(_SCREAMING_SNAKE_CASE		, ''' '''		).strip()
			return out_string




	def 							UpperCAmelCase__( self						:		List[Any]		, _SCREAMING_SNAKE_CASE						:		str		, _SCREAMING_SNAKE_CASE						:		Optional[str] = None		)->	Tuple[str]:
			if not os.path.isdir(_SCREAMING_SNAKE_CASE		):
					logger.error(F'Vocabulary path ({save_directory}) should be a directory'		)
					return
			lowerCAmelCase__       :      List[str]   					= os.path.join(
			    _SCREAMING_SNAKE_CASE		, (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']		)

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

			return (out_vocab_file,)




	def 							UpperCAmelCase__( self						:		Optional[int]		, _SCREAMING_SNAKE_CASE						:		List[str]		, _SCREAMING_SNAKE_CASE						:		str = "eng_Latn"		, _SCREAMING_SNAKE_CASE						:		Optional[List[str]] = None		, _SCREAMING_SNAKE_CASE						:		str = "fra_Latn"		, **_SCREAMING_SNAKE_CASE						:		Any		, )->	BatchEncoding:
			lowerCAmelCase__       :      List[Any]   					= src_lang
			lowerCAmelCase__       :      Union[str, Any]   					= tgt_lang
			return super().prepare_seqaseq_batch(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		, **_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		Optional[Any]		)->	Any:
			return self.set_src_lang_special_tokens(self.src_lang		)




	def 							UpperCAmelCase__( self						:		Optional[int]		)->	Dict:
			return self.set_tgt_lang_special_tokens(self.tgt_lang		)




	def 							UpperCAmelCase__( self						:		int		, _SCREAMING_SNAKE_CASE						:		List[Any]		)->	None:
			lowerCAmelCase__       :      str   					= self.lang_code_to_id[src_lang]
			if self.legacy_behaviour:
					lowerCAmelCase__       :      Union[str, Any]   					= []
					lowerCAmelCase__       :      Tuple   					= [self.eos_token_id, self.cur_lang_code]
			else:
					lowerCAmelCase__       :      str   					= [self.cur_lang_code]
					lowerCAmelCase__       :      int   					= [self.eos_token_id]




	def 							UpperCAmelCase__( self						:		Dict		, _SCREAMING_SNAKE_CASE						:		str		)->	None:
			lowerCAmelCase__       :      Optional[int]   					= self.lang_code_to_id[lang]
			if self.legacy_behaviour:
					lowerCAmelCase__       :      List[Any]   					= []
					lowerCAmelCase__       :      Union[str, Any]   					= [self.eos_token_id, self.cur_lang_code]
			else:
					lowerCAmelCase__       :      Optional[int]   					= [self.cur_lang_code]
					lowerCAmelCase__       :      Optional[int]   					= [self.eos_token_id]








import random

from .binary_exp_mod import bin_exp_mod






def 					lowerCamelCase_   (	_a     ,       _a=1_000	):




		"""simple docstring"""






		if n < 2:
				return False

		if n % 2 == 0:
				return n == 2

		# this means n is odd
		lowerCAmelCase__       :      int   					= n - 1
		lowerCAmelCase__       :      Any   					= 0
		while d % 2 == 0:
				d /= 2
				exp += 1

		# n - 1=d*(2**exp)
		lowerCAmelCase__       :      Optional[Any]   					= 0
		while count < prec:
				lowerCAmelCase__       :      Optional[Any]   					= random.randint(2     ,       n - 1	)
				lowerCAmelCase__       :      List[Any]   					= bin_exp_mod(_a     ,       _a     ,       _a	)
				if b != 1:
						lowerCAmelCase__       :      Dict   					= True
						for _ in range(_a	):
								if b == n - 1:
										lowerCAmelCase__       :      Union[str, Any]   					= False
										break
								lowerCAmelCase__       :      Tuple   					= b * b
								b %= n
						if flag:
								return False
						count += 1
		return True


if __name__ == "__main__":
		lowerCamelCase						=		abs(int(input('''Enter bound : ''').strip()))
		print('''Here\'s the list of primes:''')
		print(''', '''.join(str(i) for i in range(n + 1) if is_prime_big(i)))




