


"""simple docstring"""






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

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
					from .tokenization_nllb import NllbTokenizer
else:
					UpperCamelCase__				:Union[str, Any]			   =	None


UpperCamelCase__				:Dict			   =	logging.get_logger(__name__)


UpperCamelCase__				:List[Any]			   =	{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

UpperCamelCase__				:Optional[int]			   =	{
    """vocab_file""": {
        """facebook/nllb-200-distilled-600M""": (
            """https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/sentencepiece.bpe.model"""
        ),
    },
    """tokenizer_file""": {
        """facebook/nllb-200-distilled-600M""": (
            """https://huggingface.co/facebook/nllb-200-distilled-600M/resolve/main/tokenizer.json"""
        ),
    },
}

UpperCamelCase__				:Tuple			   =	{
    """facebook/nllb-large-en-ro""": 1_024,
    """facebook/nllb-200-distilled-600M""": 1_024,
}

# fmt: off
UpperCamelCase__				:Union[str, Any]			   =	["""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(  lowerCamelCase__		):

		"""simple docstring"""





		A    =							VOCAB_FILES_NAMES
		A    =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		A    =							PRETRAINED_VOCAB_FILES_MAP
		A    =							["input_ids", "attention_mask"]
		A    =							NllbTokenizer

		A    =							[]
		A    =							[]
		def __init__( self					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__="<s>"					,				SCREAMING_SNAKE_CASE__="</s>"					,				SCREAMING_SNAKE_CASE__="</s>"					,				SCREAMING_SNAKE_CASE__="<s>"					,				SCREAMING_SNAKE_CASE__="<unk>"					,				SCREAMING_SNAKE_CASE__="<pad>"					,				SCREAMING_SNAKE_CASE__="<mask>"					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__=False					,				**SCREAMING_SNAKE_CASE__					,				)      ->	Dict:

					"""simple docstring"""



					_UpperCamelCase					:Dict					     =	AddedToken(SCREAMING_SNAKE_CASE__					,				lstrip=SCREAMING_SNAKE_CASE__					,				rstrip=SCREAMING_SNAKE_CASE__   ) if isinstance(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   ) else mask_token
					_UpperCamelCase					:List[str]					     =	legacy_behaviour
					super().__init__(
					    vocab_file=SCREAMING_SNAKE_CASE__					,				tokenizer_file=SCREAMING_SNAKE_CASE__					,				bos_token=SCREAMING_SNAKE_CASE__					,				eos_token=SCREAMING_SNAKE_CASE__					,				sep_token=SCREAMING_SNAKE_CASE__					,				cls_token=SCREAMING_SNAKE_CASE__					,				unk_token=SCREAMING_SNAKE_CASE__					,				pad_token=SCREAMING_SNAKE_CASE__					,				mask_token=SCREAMING_SNAKE_CASE__					,				src_lang=SCREAMING_SNAKE_CASE__					,				tgt_lang=SCREAMING_SNAKE_CASE__					,				additional_special_tokens=SCREAMING_SNAKE_CASE__					,				legacy_behaviour=SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__					,				)

					_UpperCamelCase					:Union[str, Any]					     =	vocab_file
					_UpperCamelCase					:Optional[Any]					     =	False if not self.vocab_file else True

					_UpperCamelCase					:Optional[int]					     =	FAIRSEQ_LANGUAGE_CODES.copy()

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

					self.add_special_tokens({'''additional_special_tokens''': _additional_special_tokens}   )
					_UpperCamelCase					:List[Any]					     =	{
					    lang_code: self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   ) for lang_code in FAIRSEQ_LANGUAGE_CODES
					}

					_UpperCamelCase					:Union[str, Any]					     =	src_lang if src_lang is not None else '''eng_Latn'''
					_UpperCamelCase					:Any					     =	self.convert_tokens_to_ids(self._src_lang   )
					_UpperCamelCase					:int					     =	tgt_lang
					self.set_src_lang_special_tokens(self._src_lang   )
		@property
		def   _UpperCamelCase( self   )      ->	str:

					"""simple docstring"""



					return self._src_lang
		@src_lang.setter
		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__   )      ->	None:

					"""simple docstring"""



					_UpperCamelCase					:Optional[Any]					     =	new_src_lang
					self.set_src_lang_special_tokens(self._src_lang   )
		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__ = None   )      ->	List[int]:

					"""simple docstring"""



					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					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__ = None   )      ->	List[int]:

					"""simple docstring"""



					_UpperCamelCase					:Optional[Any]					     =	[self.sep_token_id]
					_UpperCamelCase					: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					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )      ->	List[Any]:

					"""simple docstring"""



					if src_lang is None or tgt_lang is None:
								raise ValueError('''Translation requires a `src_lang` and a `tgt_lang` for this model'''   )
					_UpperCamelCase					:Dict					     =	src_lang
					_UpperCamelCase					:List[Any]					     =	self(SCREAMING_SNAKE_CASE__					,				add_special_tokens=SCREAMING_SNAKE_CASE__					,				return_tensors=SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )
					_UpperCamelCase					:Any					     =	self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )
					_UpperCamelCase					:int					     =	tgt_lang_id
					return inputs
		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__ = "eng_Latn"					,				SCREAMING_SNAKE_CASE__ = None					,				SCREAMING_SNAKE_CASE__ = "fra_Latn"					,				**SCREAMING_SNAKE_CASE__					,				)      ->	BatchEncoding:

					"""simple docstring"""



					_UpperCamelCase					:str					     =	src_lang
					_UpperCamelCase					:int					     =	tgt_lang
					return super().prepare_seqaseq_batch(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )
		def   _UpperCamelCase( self   )      ->	str:

					"""simple docstring"""



					return self.set_src_lang_special_tokens(self.src_lang   )
		def   _UpperCamelCase( self   )      ->	List[Any]:

					"""simple docstring"""



					return self.set_tgt_lang_special_tokens(self.tgt_lang   )
		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__   )      ->	None:

					"""simple docstring"""



					_UpperCamelCase					:int					     =	self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )

					if self.legacy_behaviour:
								_UpperCamelCase					:Union[str, Any]					     =	[]
								_UpperCamelCase					:Tuple					     =	[self.eos_token_id, self.cur_lang_code]
					else:
								_UpperCamelCase					:Union[str, Any]					     =	[self.cur_lang_code]
								_UpperCamelCase					:int					     =	[self.eos_token_id]

					_UpperCamelCase					:Optional[int]					     =	self.convert_ids_to_tokens(self.prefix_tokens   )
					_UpperCamelCase					:Tuple					     =	self.convert_ids_to_tokens(self.suffix_tokens   )

					_UpperCamelCase					:Optional[Any]					     =	processors.TemplateProcessing(
					    single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str					,				pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str					,				special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str					,				self.prefix_tokens + self.suffix_tokens   )   )					,				)
		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__   )      ->	None:

					"""simple docstring"""



					_UpperCamelCase					:List[str]					     =	self.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__   )
					if self.legacy_behaviour:
								_UpperCamelCase					:Union[str, Any]					     =	[]
								_UpperCamelCase					:Optional[int]					     =	[self.eos_token_id, self.cur_lang_code]
					else:
								_UpperCamelCase					:str					     =	[self.cur_lang_code]
								_UpperCamelCase					:Optional[int]					     =	[self.eos_token_id]

					_UpperCamelCase					:str					     =	self.convert_ids_to_tokens(self.prefix_tokens   )
					_UpperCamelCase					:Union[str, Any]					     =	self.convert_ids_to_tokens(self.suffix_tokens   )

					_UpperCamelCase					:Optional[int]					     =	processors.TemplateProcessing(
					    single=prefix_tokens_str + ['''$A'''] + suffix_tokens_str					,				pair=prefix_tokens_str + ['''$A''', '''$B'''] + suffix_tokens_str					,				special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str					,				self.prefix_tokens + self.suffix_tokens   )   )					,				)





		def   _UpperCamelCase( self					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__ = None   )      ->	Tuple[str]:

					"""simple docstring"""



					if not self.can_save_slow_tokenizer:
								raise ValueError(
								    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
								    '''tokenizer.'''   )

					if not os.path.isdir(SCREAMING_SNAKE_CASE__   ):
								logger.error(f"Vocabulary path ({save_directory}) should be a directory."   )
								return
					_UpperCamelCase					:Dict					     =	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__   ):
								copyfile(self.vocab_file					,				SCREAMING_SNAKE_CASE__   )

					return (out_vocab_file,)





"""simple docstring"""






import os





def 				A_       ( )					->  Any:
			with open(os.path.dirname(snake_case__		) + '''/p022_names.txt'''		) as file:
						_UpperCamelCase					:Optional[Any]					     =	str(file.readlines()[0]		)
						_UpperCamelCase					:Dict					     =	names.replace('''"'''       ,					''''''		).split(''','''		)

			names.sort()

			_UpperCamelCase					:str					     =	0
			_UpperCamelCase					:Union[str, Any]					     =	0

			for i, name in enumerate(snake_case__		):
						for letter in name:
									name_score += ord(snake_case__		) - 64

						total_score += (i + 1) * name_score
						_UpperCamelCase					:List[Any]					     =	0
			return total_score


if __name__ == "__main__":
					print(solution())

