

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


lowercase_             =     logging.get_logger(__name__)

lowercase_             =     '▁'

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

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

lowercase_             =     {
    'facebook/nllb-200-distilled-600M': 1_0_2_4,
}

# fmt: off
lowercase_             =     ['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 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE							):
  _a		    =						VOCAB_FILES_NAMES
  _a		    =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _a		    =						PRETRAINED_VOCAB_FILES_MAP
  _a		    =						["""input_ids""", """attention_mask"""]

  _a		    =						[]
  _a		    =						[]




  def __init__(       self							,     lowerCAmelCase							,     lowerCAmelCase="<s>"							,     lowerCAmelCase="</s>"							,     lowerCAmelCase="</s>"							,     lowerCAmelCase="<s>"							,     lowerCAmelCase="<unk>"							,     lowerCAmelCase="<pad>"							,     lowerCAmelCase="<mask>"							,     lowerCAmelCase=None							,     lowerCAmelCase=None							,     lowerCAmelCase=None							,     lowerCAmelCase = None							,     lowerCAmelCase=None							,     lowerCAmelCase=False							,     **lowerCAmelCase							,     )						->				Optional[Any]:
        '''simple docstring'''






        _lowercase			 =AddedToken(lowerCAmelCase							,     lstrip=lowerCAmelCase							,     rstrip=lowerCAmelCase      ) if isinstance(lowerCAmelCase							,     lowerCAmelCase      ) else mask_token

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

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

        _lowercase			 =spm.SentencePieceProcessor(**self.sp_model_kwargs      )
        self.sp_model.Load(str(lowerCAmelCase      )      )
        _lowercase			 =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
        _lowercase			 ={'<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
        _lowercase			 =1

        _lowercase			 =len(self.sp_model      )
        _lowercase			 ={
            code: self.sp_model_size + i + self.fairseq_offset for i, code in enumerate(lowerCAmelCase      )
        }
        _lowercase			 ={v: k for k, v in self.lang_code_to_id.items()}
        _lowercase			 =len(self.sp_model      ) + len(self.lang_code_to_id      ) + self.fairseq_offset

        self.fairseq_tokens_to_ids.update(self.lang_code_to_id      )
        _lowercase			 ={v: k for k, v in self.fairseq_tokens_to_ids.items()}
        _lowercase			 =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]      )

        _lowercase			 =src_lang if src_lang is not None else 'eng_Latn'
        _lowercase			 =self.lang_code_to_id[self._src_lang]
        _lowercase			 =tgt_lang
        self.set_src_lang_special_tokens(self._src_lang      )




  def __getstate__(       self      )						->				Union[str, Any]:
        '''simple docstring'''






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




  def __setstate__(       self							,     lowerCAmelCase      )						->				Tuple:
        '''simple docstring'''






        _lowercase			 =d

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

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




  @property
  def 						A__  (       self      )						->				Tuple:
        '''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      )						->				str:
        '''simple docstring'''






        return self._src_lang




  @src_lang.setter
  def 						A__  (       self							,     lowerCAmelCase      )						->				None:
        '''simple docstring'''






        _lowercase			 =new_src_lang
        self.set_src_lang_special_tokens(self._src_lang      )




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase = None							,     lowerCAmelCase = False      )						->				List[int]:
        '''simple docstring'''






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

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




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase = 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							,     lowerCAmelCase							,     lowerCAmelCase = None      )						->				List[int]:
        '''simple docstring'''






        _lowercase			 =[self.sep_token_id]
        _lowercase			 =[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							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     lowerCAmelCase							,     **lowerCAmelCase      )						->				Tuple:
        '''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'      )
        _lowercase			 =src_lang
        _lowercase			 =self(lowerCAmelCase							,     add_special_tokens=lowerCAmelCase							,     return_tensors=lowerCAmelCase							,     **lowerCAmelCase      )
        _lowercase			 =self.convert_tokens_to_ids(lowerCAmelCase      )
        _lowercase			 =tgt_lang_id
        return inputs




  def 						A__  (       self      )						->				str:
        '''simple docstring'''






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




  def 						A__  (       self							,     lowerCAmelCase      )						->				List[str]:
        '''simple docstring'''






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




  def 						A__  (       self							,     lowerCAmelCase      )						->				Dict:
        '''simple docstring'''






        if token in self.fairseq_tokens_to_ids:
              return self.fairseq_tokens_to_ids[token]
        _lowercase			 =self.sp_model.PieceToId(lowerCAmelCase      )

        # 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							,     lowerCAmelCase      )						->				Optional[int]:
        '''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							,     lowerCAmelCase      )						->				Tuple:
        '''simple docstring'''






        _lowercase			 =''.join(lowerCAmelCase      ).replace(lowerCAmelCase							,     ' '      ).strip()
        return out_string




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase = None      )						->				Tuple[str]:
        '''simple docstring'''






        if not os.path.isdir(lowerCAmelCase      ):
              logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''      )
              return
        _lowercase			 =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      ) and os.path.isfile(self.vocab_file      ):
              copyfile(self.vocab_file							,     lowerCAmelCase      )
        elif not os.path.isfile(self.vocab_file      ):
              with open(lowerCAmelCase							,     'wb'      ) as fi:
                    _lowercase			 =self.sp_model.serialized_model_proto()
                    fi.write(lowerCAmelCase      )

        return (out_vocab_file,)




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase = "eng_Latn"							,     lowerCAmelCase = None							,     lowerCAmelCase = "fra_Latn"							,     **lowerCAmelCase							,     )						->				BatchEncoding:
        '''simple docstring'''






        _lowercase			 =src_lang
        _lowercase			 =tgt_lang
        return super().prepare_seqaseq_batch(lowerCAmelCase							,     lowerCAmelCase							,     **lowerCAmelCase      )




  def 						A__  (       self      )						->				Optional[Any]:
        '''simple docstring'''






        return self.set_src_lang_special_tokens(self.src_lang      )




  def 						A__  (       self      )						->				Optional[Any]:
        '''simple docstring'''






        return self.set_tgt_lang_special_tokens(self.tgt_lang      )




  def 						A__  (       self							,     lowerCAmelCase      )						->				None:
        '''simple docstring'''






        _lowercase			 =self.lang_code_to_id[src_lang]
        if self.legacy_behaviour:
              _lowercase			 =[]
              _lowercase			 =[self.eos_token_id, self.cur_lang_code]
        else:
              _lowercase			 =[self.cur_lang_code]
              _lowercase			 =[self.eos_token_id]




  def 						A__  (       self							,     lowerCAmelCase      )						->				None:
        '''simple docstring'''






        _lowercase			 =self.lang_code_to_id[lang]
        if self.legacy_behaviour:
              _lowercase			 =[]
              _lowercase			 =[self.eos_token_id, self.cur_lang_code]
        else:
              _lowercase			 =[self.cur_lang_code]
              _lowercase			 =[self.eos_token_id]





import os
def   a   (    )					->   Optional[int]:





      """simple docstring"""



      with open(os.path.dirname(A__  ) + '/grid.txt'  ) as f:
            _lowercase			 =[]  # noqa: E741
            for _ in range(20  ):
                  l.append([int(A__  ) for x in f.readline().split()]  )

            _lowercase			 =0

            # right
            for i in range(20  ):
                  for j in range(17  ):
                        _lowercase			 =l[i][j] * l[i][j + 1] * l[i][j + 2] * l[i][j + 3]
                        if temp > maximum:
                              _lowercase			 =temp

        # down
            for i in range(17  ):
                  for j in range(20  ):
                        _lowercase			 =l[i][j] * l[i + 1][j] * l[i + 2][j] * l[i + 3][j]
                        if temp > maximum:
                              _lowercase			 =temp

        # diagonal 1
            for i in range(17  ):
                  for j in range(17  ):
                        _lowercase			 =l[i][j] * l[i + 1][j + 1] * l[i + 2][j + 2] * l[i + 3][j + 3]
                        if temp > maximum:
                              _lowercase			 =temp

        # diagonal 2
            for i in range(17  ):
                  for j in range(3   ,     20  ):
                        _lowercase			 =l[i][j] * l[i + 1][j - 1] * l[i + 2][j - 2] * l[i + 3][j - 3]
                        if temp > maximum:
                              _lowercase			 =temp
            return maximum


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


