





"""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:
       a_					=     None


a_					=     logging.get_logger(__name__)


a_					=     {"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

a_					=     {
    """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"""
        ),
    },
}

a_					=     {
    """facebook/nllb-large-en-ro""": 1024,
    """facebook/nllb-200-distilled-600M""": 1024,
}

# fmt: off
a_					=     ["""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 						__snake_case   (						SCREAMING_SNAKE_CASE__	):





 """simple docstring"""


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

 _lowerCamelCase								=	[]
 _lowerCamelCase								=	[]

 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   ,		):



     '''simple docstring'''




     __A       :		Optional[int]							=	AddedToken(__lowerCamelCase   ,		lstrip=__lowerCamelCase   ,		rstrip=__lowerCamelCase    ) if isinstance(__lowerCamelCase   ,		__lowerCamelCase    ) else mask_token
     __A       :		List[Any]							=	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   ,		)

     __A       :		Dict							=	vocab_file
     __A       :		Optional[int]							=	False if not self.vocab_file else True

     __A       :		Any							=	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}    )
     __A       :		int							=	{
         lang_code: self.convert_tokens_to_ids(__lowerCamelCase    ) for lang_code in FAIRSEQ_LANGUAGE_CODES
     }

     __A       :		List[Any]							=	src_lang if src_lang is not None else '''eng_Latn'''
     __A       :		List[Any]							=	self.convert_tokens_to_ids(self._src_lang    )
     __A       :		Dict							=	tgt_lang
     self.set_src_lang_special_tokens(self._src_lang    )

 @property
 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     return self._src_lang

 @src_lang.setter
 def    UpperCamelCase__(       self   ,		__lowerCamelCase    ):



     '''simple docstring'''




     __A       :		str							=	new_src_lang
     self.set_src_lang_special_tokens(self._src_lang    )

 def    UpperCamelCase__(       self   ,		__lowerCamelCase   ,		__lowerCamelCase = None    ):



     '''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   ,		__lowerCamelCase   ,		__lowerCamelCase = None    ):



     '''simple docstring'''




     __A       :		Union[str, Any]							=	[self.sep_token_id]
     __A       :		str							=	[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   ,		__lowerCamelCase   ,		__lowerCamelCase   ,		__lowerCamelCase   ,		__lowerCamelCase   ,		**__lowerCamelCase    ):



     '''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'''    )
     __A       :		str							=	src_lang
     __A       :		Optional[Any]							=	self(__lowerCamelCase   ,		add_special_tokens=__lowerCamelCase   ,		return_tensors=__lowerCamelCase   ,		**__lowerCamelCase    )
     __A       :		Union[str, Any]							=	self.convert_tokens_to_ids(__lowerCamelCase    )
     __A       :		Dict							=	tgt_lang_id
     return inputs

 def    UpperCamelCase__(       self   ,		__lowerCamelCase   ,		__lowerCamelCase = "eng_Latn"   ,		__lowerCamelCase = None   ,		__lowerCamelCase = "fra_Latn"   ,		**__lowerCamelCase   ,		):



     '''simple docstring'''




     __A       :		List[Any]							=	src_lang
     __A       :		Optional[int]							=	tgt_lang
     return super().prepare_seqaseq_batch(__lowerCamelCase   ,		__lowerCamelCase   ,		**__lowerCamelCase    )

 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     return self.set_src_lang_special_tokens(self.src_lang    )

 def    UpperCamelCase__(       self    ):



     '''simple docstring'''




     return self.set_tgt_lang_special_tokens(self.tgt_lang    )

 def    UpperCamelCase__(       self   ,		__lowerCamelCase    ):



     '''simple docstring'''




     __A       :		Union[str, Any]							=	self.convert_tokens_to_ids(__lowerCamelCase    )

     if self.legacy_behaviour:
         __A       :		Tuple							=	[]
         __A       :		List[Any]							=	[self.eos_token_id, self.cur_lang_code]
     else:
         __A       :		List[str]							=	[self.cur_lang_code]
         __A       :		List[str]							=	[self.eos_token_id]

     __A       :		List[Any]							=	self.convert_ids_to_tokens(self.prefix_tokens    )
     __A       :		Optional[int]							=	self.convert_ids_to_tokens(self.suffix_tokens    )

     __A       :		Tuple							=	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   ,		__lowerCamelCase    ):



     '''simple docstring'''




     __A       :		List[Any]							=	self.convert_tokens_to_ids(__lowerCamelCase    )
     if self.legacy_behaviour:
         __A       :		Tuple							=	[]
         __A       :		List[str]							=	[self.eos_token_id, self.cur_lang_code]
     else:
         __A       :		List[Any]							=	[self.cur_lang_code]
         __A       :		str							=	[self.eos_token_id]

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

     __A       :		Dict							=	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   ,		__lowerCamelCase   ,		__lowerCamelCase = None    ):



     '''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(__lowerCamelCase    ):
         logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""    )
         return
     __A       :		Tuple							=	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 						__lowercase	(  snake_case_    :    int							,snake_case_    :    int		)  ->int:



    '''simple docstring'''







    return int((input_a, input_a).count(0		) == 0		)







def 						__lowercase	(  )  ->None:



    '''simple docstring'''







    assert and_gate(0							,0		) == 0
    assert and_gate(0							,1		) == 0
    assert and_gate(1							,0		) == 0
    assert and_gate(1							,1		) == 1


if __name__ == "__main__":
       test_and_gate()
       print(and_gate(1, 0))
       print(and_gate(0, 0))
       print(and_gate(0, 1))
       print(and_gate(1, 1))




