




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				:		List[Any]     =   logging.get_logger(__name__)

lowerCamelCase				:		int     =   "▁"

lowerCamelCase				:		int     =   {"vocab_file": "sentencepiece.bpe.model"}

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

lowerCamelCase				:		Dict     =   {
    "facebook/nllb-200-distilled-600M": 1_024,
}

# fmt: off
lowerCamelCase				:		List[str]     =   ["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(						UpperCamelCase   ):



 '''simple docstring'''


 UpperCamelCase						   =						VOCAB_FILES_NAMES
 UpperCamelCase						   =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase						   =						PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase						   =						['''input_ids''', '''attention_mask''']

 UpperCamelCase						   =						[]
 UpperCamelCase						   =						[]

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

       """simple docstring"""






       lowerCamelCase_		     =    AddedToken(A_						,							lstrip=A_						,							rstrip=A_  ) if isinstance(A_						,							A_  ) else mask_token

       lowerCamelCase_		     =    {} if sp_model_kwargs is None else sp_model_kwargs
       lowerCamelCase_		     =    legacy_behaviour

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

       lowerCamelCase_		     =    spm.SentencePieceProcessor(**self.sp_model_kwargs  )
       self.sp_model.Load(str(A_  )  )
       lowerCamelCase_		     =    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_		     =    {'<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_		     =    1

       lowerCamelCase_		     =    len(self.sp_model  )
       lowerCamelCase_		     =    {
           code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(A_  )
       }
       lowerCamelCase_		     =    {v: k for k, v in self.lang_code_to_id.items()}
       lowerCamelCase_		     =    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_		     =    {v: k for k, v in self.fairseq_tokens_to_ids.items()}
       lowerCamelCase_		     =    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_		     =    src_lang if src_lang is not None else 'eng_Latn'
       lowerCamelCase_		     =    self.lang_code_to_id[self._src_lang]
       lowerCamelCase_		     =    tgt_lang
       self.set_src_lang_special_tokens(self._src_lang  )

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

       """simple docstring"""






       lowerCamelCase_		     =    self.__dict__.copy()
       lowerCamelCase_		     =    None
       lowerCamelCase_		     =    self.sp_model.serialized_model_proto()
       return state

 def __setstate__(				self					:  Union[str, Any]						,							A_					:  List[Any]  )   ->	List[Any]:

       """simple docstring"""






       lowerCamelCase_		     =    d

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

       lowerCamelCase_		     =    spm.SentencePieceProcessor(**self.sp_model_kwargs  )
       self.sp_model.LoadFromSerializedProto(self.sp_model_proto  )

 @property
 def 				a__ (				self					:  Union[str, Any]  )   ->	Any:

       """simple docstring"""






       return len(self.sp_model  ) + len(self.lang_code_to_id  ) + self.fairseq_offset + 1  # Plus 1 for the mask token

 @property
 def 				a__ (				self					:  Any  )   ->	str:

       """simple docstring"""






       return self._src_lang

 @src_lang.setter
 def 				a__ (				self					:  Union[str, Any]						,							A_					:  str  )   ->	None:

       """simple docstring"""






       lowerCamelCase_		     =    new_src_lang
       self.set_src_lang_special_tokens(self._src_lang  )

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

       """simple docstring"""






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

       lowerCamelCase_		     =    [1] * len(self.prefix_tokens  )
       lowerCamelCase_		     =    [1] * len(self.suffix_tokens  )
       if token_ids_a is None:
             return prefix_ones + ([0] * len(A_  )) + suffix_ones
       return prefix_ones + ([0] * len(A_  )) + ([0] * len(A_  )) + suffix_ones

 def 				a__ (				self					:  Union[str, Any]						,							A_					:  List[int]						,							A_					:  Optional[List[int]] = 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 				a__ (				self					:  str						,							A_					:  List[int]						,							A_					:  Optional[List[int]] = None  )   ->	List[int]:

       """simple docstring"""






       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 				a__ (				self					:  Dict						,							A_					:  int						,							A_					:  str						,							A_					:  Optional[str]						,							A_					:  Optional[str]						,							**A_					:  str  )   ->	List[str]:

       """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'  )
       lowerCamelCase_		     =    src_lang
       lowerCamelCase_		     =    self(A_						,							add_special_tokens=A_						,							return_tensors=A_						,							**A_  )
       lowerCamelCase_		     =    self.convert_tokens_to_ids(A_  )
       lowerCamelCase_		     =    tgt_lang_id
       return inputs

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

       """simple docstring"""






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

 def 				a__ (				self					:  Optional[Any]						,							A_					:  str  )   ->	List[str]:

       """simple docstring"""






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

 def 				a__ (				self					:  Optional[int]						,							A_					:  Optional[int]  )   ->	Union[str, Any]:

       """simple docstring"""






       if token in self.fairseq_tokens_to_ids:
             return self.fairseq_tokens_to_ids[token]
       lowerCamelCase_		     =    self.sp_model.PieceToId(A_  )

       # 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 				a__ (				self					:  List[str]						,							A_					:  List[Any]  )   ->	List[str]:

       """simple docstring"""






       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 				a__ (				self					:  Optional[int]						,							A_					:  str  )   ->	List[str]:

       """simple docstring"""






       lowerCamelCase_		     =    ''.join(A_  ).replace(A_						,							' '  ).strip()
       return out_string

 def 				a__ (				self					:  Optional[int]						,							A_					:  str						,							A_					:  Optional[str] = None  )   ->	Tuple[str]:

       """simple docstring"""






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

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

       return (out_vocab_file,)

 def 				a__ (				self					:  Dict						,							A_					:  List[str]						,							A_					:  str = "eng_Latn"						,							A_					:  Optional[List[str]] = None						,							A_					:  str = "fra_Latn"						,							**A_					:  Optional[int]						,							)   ->	BatchEncoding:

       """simple docstring"""






       lowerCamelCase_		     =    src_lang
       lowerCamelCase_		     =    tgt_lang
       return super().prepare_seqaseq_batch(A_						,							A_						,							**A_  )

 def 				a__ (				self					:  int  )   ->	Optional[Any]:

       """simple docstring"""






       return self.set_src_lang_special_tokens(self.src_lang  )

 def 				a__ (				self					:  Optional[int]  )   ->	Union[str, Any]:

       """simple docstring"""






       return self.set_tgt_lang_special_tokens(self.tgt_lang  )

 def 				a__ (				self					:  int						,							A_					:  Dict  )   ->	None:

       """simple docstring"""






       lowerCamelCase_		     =    self.lang_code_to_id[src_lang]
       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]





 def 				a__ (				self					:  List[Any]						,							A_					:  str  )   ->	None:

       """simple docstring"""






       lowerCamelCase_		     =    self.lang_code_to_id[lang]
       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]









def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       int	,							lowercase	:       int     ):


      '''simple docstring'''



      return int((input_a, input_a).count(1     ) != 0     )

def 			_SCREAMING_SNAKE_CASE			(							):


      '''simple docstring'''



      assert or_gate(0	,							0     ) == 0
      assert or_gate(0	,							1     ) == 1
      assert or_gate(1	,							0     ) == 1
      assert or_gate(1	,							1     ) == 1


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



