"""simple docstring"""
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


lowercase__  	=     logging.get_logger(__name__)

lowercase__  	=     {'vocab_file': 'spm_char.model'}

lowercase__  	=     {
    'vocab_file': {
        'microsoft/speecht5_asr': 'https://huggingface.co/microsoft/speecht5_asr/resolve/main/spm_char.model',
        'microsoft/speecht5_tts': 'https://huggingface.co/microsoft/speecht5_tts/resolve/main/spm_char.model',
        'microsoft/speecht5_vc': 'https://huggingface.co/microsoft/speecht5_vc/resolve/main/spm_char.model',
    }
}

lowercase__  	=     {
    'microsoft/speecht5_asr': 1024,
    'microsoft/speecht5_tts': 1024,
    'microsoft/speecht5_vc': 1024,
}




class        __snake_case	(					A__    ):
      a__				=		VOCAB_FILES_NAMES
      a__				=		PRETRAINED_VOCAB_FILES_MAP
      a__				=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a__				=		["input_ids", "attention_mask"]



      def __init__(						self   ,      lowercase   ,      lowercase="<s>"   ,      lowercase="</s>"   ,      lowercase="<unk>"   ,      lowercase="<pad>"   ,      lowercase = None   ,      **lowercase   ,      )     ->      None:





        '''simple docstring'''





        a__:					str      							=     {} if sp_model_kwargs is None else sp_model_kwargs

        super().__init__(
            bos_token=__A   ,      eos_token=__A   ,      unk_token=__A   ,      pad_token=__A   ,      sp_model_kwargs=self.sp_model_kwargs   ,      **__A   ,      )

        a__:					Dict      							=     vocab_file

        a__:					Tuple      							=     spm.SentencePieceProcessor(**self.sp_model_kwargs)
        self.sp_model.Load(__A)



      @property
      def   lowerCamelCase_       (						self)     ->      List[str]:





        '''simple docstring'''





        return self.sp_model.get_piece_size()



      def   lowerCamelCase_       (						self)     ->      List[str]:





        '''simple docstring'''





        a__:					str      							=     {self.convert_ids_to_tokens(__A): i for i in range(self.vocab_size)}
        vocab.update(self.added_tokens_encoder)
        return vocab



      def __getstate__(						self)     ->      Any:





        '''simple docstring'''





        a__:					int      							=     self.__dict__.copy()
        a__:					Optional[Any]      							=     None
        return state



      def __setstate__(						self   ,      lowercase)     ->      Any:





        '''simple docstring'''





        a__:					Dict      							=     d

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

        a__:					Optional[int]      							=     spm.SentencePieceProcessor(**self.sp_model_kwargs)
        self.sp_model.Load(self.vocab_file)



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      List[str]:





        '''simple docstring'''





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



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      str:





        '''simple docstring'''





        return self.sp_model.piece_to_id(__A)



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      List[Any]:





        '''simple docstring'''





        a__:					str      							=     self.sp_model.IdToPiece(__A)
        return token



      def   lowerCamelCase_       (						self   ,      lowercase)     ->      Union[str, Any]:





        '''simple docstring'''





        a__:					Optional[Any]      							=     []
        a__:					List[Any]      							=     """"""
        for token in tokens:
          # make sure that special tokens are not decoded using sentencepiece model
          if token in self.all_special_tokens:
            out_string += self.sp_model.decode(__A) + token
            a__:					Tuple      							=     []
          else:
            current_sub_tokens.append(__A)
        out_string += self.sp_model.decode(__A)
        return out_string.strip()



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase=None)     ->      List[int]:





        '''simple docstring'''





        if token_ids_a is None:
          return token_ids_a + [self.eos_token_id]
        # We don't expect to process pairs, but leave the pair logic for API consistency
        return token_ids_a + token_ids_a + [self.eos_token_id]



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None   ,      lowercase = 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)

        a__:					Optional[int]      							=     [1]
        if token_ids_a is None:
          return ([0] * len(__A)) + suffix_ones
        return ([0] * len(__A)) + ([0] * len(__A)) + suffix_ones



      def   lowerCamelCase_       (						self   ,      lowercase   ,      lowercase = None)     ->      Tuple[str]:





        '''simple docstring'''





        if not os.path.isdir(__A):
          logger.error(f'Vocabulary path ({save_directory}) should be a directory')
          return
        a__:					Union[str, Any]      							=     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:
            a__:					str      							=     self.sp_model.serialized_model_proto()
            fi.write(__A)

        return (out_vocab_file,)



"""simple docstring"""
import unittest

from knapsack import knapsack as k




class        __snake_case	(					unittest.TestCase    ):



      def   lowerCamelCase_       (						self)     ->      Dict:





        '''simple docstring'''





        a__:					List[Any]      							=     0
        a__:					Dict      							=     [0]
        a__:					int      							=     [0]
        a__:					Optional[Any]      							=     len(lowercase)
        self.assertEqual(k.knapsack(lowercase   ,      lowercase   ,      lowercase   ,      lowercase)   ,      0)

        a__:					str      							=     [60]
        a__:					Dict      							=     [10]
        a__:					List[str]      							=     len(lowercase)
        self.assertEqual(k.knapsack(lowercase   ,      lowercase   ,      lowercase   ,      lowercase)   ,      0)



      def   lowerCamelCase_       (						self)     ->      List[Any]:





        '''simple docstring'''





        a__:					int      							=     3
        a__:					str      							=     [1, 2, 3]
        a__:					Dict      							=     [3, 2, 1]
        a__:					Optional[int]      							=     len(lowercase)
        self.assertEqual(k.knapsack(lowercase   ,      lowercase   ,      lowercase   ,      lowercase)   ,      5)



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





        '''simple docstring'''





        a__:					Any      							=     50
        a__:					Optional[int]      							=     [60, 1_00, 1_20]
        a__:					str      							=     [10, 20, 30]
        a__:					int      							=     len(lowercase)
        self.assertEqual(k.knapsack(lowercase   ,      lowercase   ,      lowercase   ,      lowercase)   ,      2_20)


if __name__ == "__main__":
 unittest.main()


