


'''simple docstring'''







import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a__  :					Any        =       logging.get_logger(__name__)

a__  :					int        =       '▁'

a__  :					Optional[int]        =       {
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
}

a__  :					Optional[Any]        =       {
    'vocab_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'
        ),
    },
    'spm_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'
        )
    },
}

a__  :					Union[str, Any]        =       {
    'facebook/s2t-small-librispeech-asr': 1_0_2_4,
}

a__  :					Union[str, Any]        =       ['pt', 'fr', 'ru', 'nl', 'ro', 'it', 'es', 'de']

a__  :					str        =       {'mustc': MUSTC_LANGS}
class 					lowercase_     (    a__   ):
    __UpperCAmelCase   			=	VOCAB_FILES_NAMES
    __UpperCAmelCase   			=	PRETRAINED_VOCAB_FILES_MAP
    __UpperCAmelCase   			=	MAX_MODEL_INPUT_SIZES
    __UpperCAmelCase   			=	['input_ids', 'attention_mask']

    __UpperCAmelCase   			=	[]


    def __init__(     self  ,					a  ,					a  ,					a="<s>"  ,					a="</s>"  ,					a="<pad>"  ,					a="<unk>"  ,					a=False  ,					a=False  ,					a=None  ,					a=None  ,					a = None  ,					**a  ,					):
          UpperCamelCase__										=				{} if sp_model_kwargs is None else sp_model_kwargs

          super().__init__(
              bos_token=a  ,					eos_token=a  ,					unk_token=a  ,					pad_token=a  ,					do_upper_case=a  ,					do_lower_case=a  ,					tgt_lang=a  ,					lang_codes=a  ,					sp_model_kwargs=self.sp_model_kwargs  ,					**a  ,					)
          UpperCamelCase__										=				do_upper_case
          UpperCamelCase__										=				do_lower_case

          UpperCamelCase__										=				load_json(a    )
          UpperCamelCase__										=				{v: k for k, v in self.encoder.items()}
          UpperCamelCase__										=				spm_file
          UpperCamelCase__										=				load_spm(a  ,					self.sp_model_kwargs    )

          if lang_codes is not None:
                UpperCamelCase__										=				lang_codes
                UpperCamelCase__										=				LANGUAGES[lang_codes]
                UpperCamelCase__										=				[f'''<lang:{lang}>''' for lang in self.langs]
                UpperCamelCase__										=				{lang: self.sp_model.PieceToId(f'''<lang:{lang}>'''    ) for lang in self.langs}

                UpperCamelCase__										=				self.lang_tokens
                UpperCamelCase__										=				tgt_lang if tgt_lang is not None else self.langs[0]

                self.set_tgt_lang_special_tokens(self._tgt_lang    )
          else:
                UpperCamelCase__										=				{}


    @property
    def    __a							(     self    ):
          return len(self.encoder    )


    @property
    def    __a							(     self    ):
          return self._tgt_lang


    @tgt_lang.setter
    def    __a							(     self  ,					a    ):
          UpperCamelCase__										=				new_tgt_lang
          self.set_tgt_lang_special_tokens(a    )


    def    __a							(     self  ,					a    ):
          UpperCamelCase__										=				self.lang_code_to_id[tgt_lang]
          UpperCamelCase__										=				[lang_code_id]


    def    __a							(     self  ,					a    ):
          return self.sp_model.encode(a  ,					out_type=a    )


    def    __a							(     self  ,					a    ):
          return self.encoder.get(a  ,					self.encoder[self.unk_token]    )


    def    __a							(     self  ,					a    ):
          return self.decoder.get(a  ,					self.unk_token    )


    def    __a							(     self  ,					a    ):
          UpperCamelCase__										=				[]
          UpperCamelCase__										=				""
          for token in tokens:
                # make sure that special tokens are not decoded using sentencepiece model
                if token in self.all_special_tokens:
                      UpperCamelCase__										=				self.sp_model.decode(a    )
                      out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
                      UpperCamelCase__										=				[]
                else:
                      current_sub_tokens.append(a    )
          UpperCamelCase__										=				self.sp_model.decode(a    )
          out_string += decoded.upper() if self.do_upper_case else decoded
          return out_string.strip()


    def    __a							(     self  ,					a  ,					a=None    ):
          if token_ids_a is None:
                return self.prefix_tokens + token_ids_a + [self.eos_token_id]
          # 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.eos_token_id]


    def    __a							(     self  ,					a  ,					a = None  ,					a = False    ):

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

          UpperCamelCase__										=				[1] * len(self.prefix_tokens    )
          UpperCamelCase__										=				[1]
          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    ):
          UpperCamelCase__										=				self.encoder.copy()
          vocab.update(self.added_tokens_encoder    )
          return vocab


    def __getstate__(     self    ):
          UpperCamelCase__										=				self.__dict__.copy()
          UpperCamelCase__										=				None
          return state


    def __setstate__(     self  ,					a    ):
          UpperCamelCase__										=				d

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

          UpperCamelCase__										=				load_spm(self.spm_file  ,					self.sp_model_kwargs    )


    def    __a							(     self  ,					a  ,					a = None    ):
          UpperCamelCase__										=				Path(a    )
          assert save_dir.is_dir(), f'''{save_directory} should be a directory'''
          UpperCamelCase__										=				save_dir / (
              (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
          )
          UpperCamelCase__										=				save_dir / (
              (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
          )

          save_json(self.encoder  ,					a    )

          if os.path.abspath(self.spm_file    ) != os.path.abspath(a    ) and os.path.isfile(self.spm_file    ):
                copyfile(self.spm_file  ,					a    )
          elif not os.path.isfile(self.spm_file    ):
                with open(a  ,					"wb"    ) as fi:
                      UpperCamelCase__										=				self.sp_model.serialized_model_proto()
                      fi.write(a    )

          return (str(a    ), str(a    ))







def _UpperCamelCase       (     __A      ,			__A    )							->		sentencepiece.SentencePieceProcessor:


      '''simple docstring'''



      UpperCamelCase__										=				sentencepiece.SentencePieceProcessor(**__A    )
      spm.Load(str(__A    )    )
      return spm







def _UpperCamelCase       (     __A    )							->		Union[Dict, List]:


      '''simple docstring'''



      with open(__A      ,			"r"    ) as f:
            return json.load(__A    )







def _UpperCamelCase       (     __A      ,			__A    )							->		None:


      '''simple docstring'''



      with open(__A      ,			"w"    ) as f:
            json.dump(__A      ,			__A      ,			indent=2    )







from __future__ import annotations

import typing
from collections import Counter


def     __lowerCAmelCase			(			a__  )       ->  typing.Counter[int]:
				__a										=    Counter()
				for base in range(1						,    max_perimeter + 1  ):
								for perpendicular in range(a__						,    max_perimeter + 1  ):
												__a										=    (base * base + perpendicular * perpendicular) ** 0.5
												if hypotenuse == int(a__  ):
																__a										=    int(base + perpendicular + hypotenuse  )
																if perimeter > max_perimeter:
																				continue
																triplets[perimeter] += 1
				return triplets


def     __lowerCAmelCase			(			a__ = 1000  )       ->  int:
				__a										=    pythagorean_triple(a__  )
				return triplets.most_common(1  )[0][0]


if __name__ == "__main__":
					print(F"Perimeter {solution()} has maximum solutions")