


'''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       =							None


__UpperCAmelCase       =							logging.get_logger(__name__)


__UpperCAmelCase       =							{'''vocab_file''': '''sentencepiece.bpe.model''', '''tokenizer_file''': '''tokenizer.json'''}

__UpperCAmelCase       =							{
    '''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       =							{
    '''facebook/nllb-large-en-ro''': 1_024,
    '''facebook/nllb-200-distilled-600M''': 1_024,
}

# fmt: off
__UpperCAmelCase       =							['''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__    (							a__  ):





							'''simple docstring'''






							lowercase__      :       Dict     						=				VOCAB_FILES_NAMES
							lowercase__      :       List[str]     						=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__      :       List[str]     						=				PRETRAINED_VOCAB_FILES_MAP
							lowercase__      :       Optional[Any]     						=				["input_ids", "attention_mask"]
							lowercase__      :       str     						=				NllbTokenizer

							lowercase__      :       List[int]     						=				[]
							lowercase__      :       List[int]     						=				[]







							def __init__(		self ,   lowerCamelCase_=None ,   lowerCamelCase_=None ,   lowerCamelCase_="<s>" ,   lowerCamelCase_="</s>" ,   lowerCamelCase_="</s>" ,   lowerCamelCase_="<s>" ,   lowerCamelCase_="<unk>" ,   lowerCamelCase_="<pad>" ,   lowerCamelCase_="<mask>" ,   lowerCamelCase_=None ,   lowerCamelCase_=None ,   lowerCamelCase_=None ,   lowerCamelCase_=False ,   **lowerCamelCase_ ,   )	->							int:
														# Mask token behave like a normal word, i.e. include the space before it
														lowerCAmelCase__	       =     AddedToken(lowerCamelCase_ ,   lstrip=lowerCamelCase_ ,   rstrip=lowerCamelCase_       ) if isinstance(lowerCamelCase_ ,   lowerCamelCase_       ) else mask_token
														lowerCAmelCase__	       =     legacy_behaviour
														super().__init__(
														    vocab_file=lowerCamelCase_ ,   tokenizer_file=lowerCamelCase_ ,   bos_token=lowerCamelCase_ ,   eos_token=lowerCamelCase_ ,   sep_token=lowerCamelCase_ ,   cls_token=lowerCamelCase_ ,   unk_token=lowerCamelCase_ ,   pad_token=lowerCamelCase_ ,   mask_token=lowerCamelCase_ ,   src_lang=lowerCamelCase_ ,   tgt_lang=lowerCamelCase_ ,   additional_special_tokens=lowerCamelCase_ ,   legacy_behaviour=lowerCamelCase_ ,   **lowerCamelCase_ ,   )

														lowerCAmelCase__	       =     vocab_file
														lowerCAmelCase__	       =     False if not self.vocab_file else True

														lowerCAmelCase__	       =     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}       )
														lowerCAmelCase__	       =     {
														    lang_code: self.convert_tokens_to_ids(lowerCamelCase_       ) for lang_code in FAIRSEQ_LANGUAGE_CODES
														}

														lowerCAmelCase__	       =     src_lang if src_lang is not None else '''eng_Latn'''
														lowerCAmelCase__	       =     self.convert_tokens_to_ids(self._src_lang       )
														lowerCAmelCase__	       =     tgt_lang
														self.set_src_lang_special_tokens(self._src_lang       )







							@property
							def   __SCREAMING_SNAKE_CASE							(		self       )	->							str:
														return self._src_lang







							@src_lang.setter
							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							None:
														lowerCAmelCase__	       =     new_src_lang
														self.set_src_lang_special_tokens(self._src_lang       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ = 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   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ = None       )	->							List[int]:
														lowerCAmelCase__	       =     [self.sep_token_id]
														lowerCAmelCase__	       =     [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   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ ,   lowerCamelCase_ ,   lowerCamelCase_ ,   **lowerCamelCase_       )	->							Optional[int]:
														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__	       =     src_lang
														lowerCAmelCase__	       =     self(lowerCamelCase_ ,   add_special_tokens=lowerCamelCase_ ,   return_tensors=lowerCamelCase_ ,   **lowerCamelCase_       )
														lowerCAmelCase__	       =     self.convert_tokens_to_ids(lowerCamelCase_       )
														lowerCAmelCase__	       =     tgt_lang_id
														return inputs







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ = "eng_Latn" ,   lowerCamelCase_ = None ,   lowerCamelCase_ = "fra_Latn" ,   **lowerCamelCase_ ,   )	->							BatchEncoding:
														lowerCAmelCase__	       =     src_lang
														lowerCAmelCase__	       =     tgt_lang
														return super().prepare_seqaseq_batch(lowerCamelCase_ ,   lowerCamelCase_ ,   **lowerCamelCase_       )







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







							def   __SCREAMING_SNAKE_CASE							(		self       )	->							Dict:
														return self.set_tgt_lang_special_tokens(self.tgt_lang       )







							def   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							None:
														lowerCAmelCase__	       =     self.convert_tokens_to_ids(lowerCamelCase_       )

														if self.legacy_behaviour:
																					lowerCAmelCase__	       =     []
																					lowerCAmelCase__	       =     [self.eos_token_id, self.cur_lang_code]
														else:
																					lowerCAmelCase__	       =     [self.cur_lang_code]
																					lowerCAmelCase__	       =     [self.eos_token_id]

														lowerCAmelCase__	       =     self.convert_ids_to_tokens(self.prefix_tokens       )
														lowerCAmelCase__	       =     self.convert_ids_to_tokens(self.suffix_tokens       )

														lowerCAmelCase__	       =     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   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_       )	->							None:
														lowerCAmelCase__	       =     self.convert_tokens_to_ids(lowerCamelCase_       )
														if self.legacy_behaviour:
																					lowerCAmelCase__	       =     []
																					lowerCAmelCase__	       =     [self.eos_token_id, self.cur_lang_code]
														else:
																					lowerCAmelCase__	       =     [self.cur_lang_code]
																					lowerCAmelCase__	       =     [self.eos_token_id]

														lowerCAmelCase__	       =     self.convert_ids_to_tokens(self.prefix_tokens       )
														lowerCAmelCase__	       =     self.convert_ids_to_tokens(self.suffix_tokens       )

														lowerCAmelCase__	       =     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   __SCREAMING_SNAKE_CASE							(		self ,   lowerCamelCase_ ,   lowerCamelCase_ = None       )	->							Tuple[str]:
														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(lowerCamelCase_       ):
																					logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""       )
																					return
														lowerCAmelCase__	       =     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_       ):
																					copyfile(self.vocab_file ,   lowerCamelCase_       )

														return (out_vocab_file,)



'''simple docstring'''






def  _snake_case       (					A = 10	)						->   str:
							if not isinstance(A			,   A	) or n < 0:
														raise ValueError('''Invalid input'''	)
							lowerCAmelCase__	       =     10**n
							lowerCAmelCase__	       =     28433 * (pow(2			,   7830457			,   A	)) + 1
							return str(number % modulus	)


if __name__ == "__main__":
		from doctest import testmod

		testmod()
		print(f"""{solution(10) = }""")