






"""simple docstring"""





import argparse
import struct
import unittest






class      a						:






    def __init__(       self     :							Optional[int]       ,						__SCREAMING_SNAKE_CASE     :							Optional[Any]					)     ->		None:
      lowerCamelCase_         =						data

      # Initialize hash values
      lowerCamelCase_         =						[
          0X6a09_e667,
          0Xbb67_ae85,
          0X3c6e_f372,
          0Xa54f_f53a,
          0X510e_527f,
          0X9b05_688c,
          0X1f83_d9ab,
          0X5be0_cd19,
      ]

      # Initialize round constants
      lowerCamelCase_         =						[
          0X428a_2f98,
          0X7137_4491,
          0Xb5c0_fbcf,
          0Xe9b5_dba5,
          0X3956_c25b,
          0X59f1_11f1,
          0X923f_82a4,
          0Xab1c_5ed5,
          0Xd807_aa98,
          0X1283_5b01,
          0X2431_85be,
          0X550c_7dc3,
          0X72be_5d74,
          0X80de_b1fe,
          0X9bdc_06a7,
          0Xc19b_f174,
          0Xe49b_69c1,
          0Xefbe_4786,
          0X0fc1_9dc6,
          0X240c_a1cc,
          0X2de9_2c6f,
          0X4a74_84aa,
          0X5cb0_a9dc,
          0X76f9_88da,
          0X983e_5152,
          0Xa831_c66d,
          0Xb003_27c8,
          0Xbf59_7fc7,
          0Xc6e0_0bf3,
          0Xd5a7_9147,
          0X06ca_6351,
          0X1429_2967,
          0X27b7_0a85,
          0X2e1b_2138,
          0X4d2c_6dfc,
          0X5338_0d13,
          0X650a_7354,
          0X766a_0abb,
          0X81c2_c92e,
          0X9272_2c85,
          0Xa2bf_e8a1,
          0Xa81a_664b,
          0Xc24b_8b70,
          0Xc76c_51a3,
          0Xd192_e819,
          0Xd699_0624,
          0Xf40e_3585,
          0X106a_a070,
          0X19a4_c116,
          0X1e37_6c08,
          0X2748_774c,
          0X34b0_bcb5,
          0X391c_0cb3,
          0X4ed8_aa4a,
          0X5b9c_ca4f,
          0X682e_6ff3,
          0X748f_82ee,
          0X78a5_636f,
          0X84c8_7814,
          0X8cc7_0208,
          0X90be_fffa,
          0Xa450_6ceb,
          0Xbef9_a3f7,
          0Xc671_78f2,
      ]

      lowerCamelCase_         =						self.preprocessing(self.data					)
      self.final_hash()






    @staticmethod
    def    UpperCamelCase       (       __SCREAMING_SNAKE_CASE     :							str					)     ->		bytes:
      lowerCamelCase_         =						B'\x80' + (B'\x00' * (63 - (len(SCREAMING_SNAKE_CASE_					) + 8) % 64))
      lowerCamelCase_         =						struct.pack('>Q'       ,						(len(SCREAMING_SNAKE_CASE_					) * 8)					)
      return data + padding + big_endian_integer






    def    UpperCamelCase       (       self     :							List[Any]					)     ->		None:
      # Convert into blocks of 64 bytes
      lowerCamelCase_         =						[
          self.preprocessed_data[x : x + 64]
          for x in range(0       ,						len(self.preprocessed_data					)       ,						64					)
      ]

      for block in self.blocks:
        # Convert the given block into a list of 4 byte integers
        lowerCamelCase_         =						list(struct.unpack('>16L'       ,						SCREAMING_SNAKE_CASE_					)					)
        # add 48 0-ed integers
        words += [0] * 48

        lowerCamelCase_         =						self.hashes

        for index in range(0       ,						64					):
          if index > 15:
            # modify the zero-ed indexes at the end of the array
            lowerCamelCase_         =						(
                self.ror(words[index - 15]       ,						7					)
                ^ self.ror(words[index - 15]       ,						18					)
                ^ (words[index - 15] >> 3)
            )
            lowerCamelCase_         =						(
                self.ror(words[index - 2]       ,						17					)
                ^ self.ror(words[index - 2]       ,						19					)
                ^ (words[index - 2] >> 10)
            )

            lowerCamelCase_         =						(
                words[index - 16] + sa + words[index - 7] + sa
            ) % 0X1_0000_0000

          # Compression
          lowerCamelCase_         =						self.ror(SCREAMING_SNAKE_CASE_       ,						6					) ^ self.ror(SCREAMING_SNAKE_CASE_       ,						11					) ^ self.ror(SCREAMING_SNAKE_CASE_       ,						25					)
          lowerCamelCase_         =						(e & f) ^ ((~e & 0Xffff_ffff) & g)
          lowerCamelCase_         =						(
              h + sa + ch + self.round_constants[index] + words[index]
          ) % 0X1_0000_0000
          lowerCamelCase_         =						self.ror(SCREAMING_SNAKE_CASE_       ,						2					) ^ self.ror(SCREAMING_SNAKE_CASE_       ,						13					) ^ self.ror(SCREAMING_SNAKE_CASE_       ,						22					)
          lowerCamelCase_         =						(a & b) ^ (a & c) ^ (b & c)
          lowerCamelCase_         =						(sa + maj) % 0X1_0000_0000

          lowerCamelCase_         =						(
              g,
              f,
              e,
              ((d + tempa) % 0X1_0000_0000),
              c,
              b,
              a,
              ((tempa + tempa) % 0X1_0000_0000),
          )

        lowerCamelCase_         =						[a, b, c, d, e, f, g, h]

        # Modify final values
        lowerCamelCase_         =						[
            ((element + mutated_hash_values[index]) % 0X1_0000_0000)
            for index, element in enumerate(self.hashes					)
        ]

      lowerCamelCase_         =						''.join([hex(SCREAMING_SNAKE_CASE_					)[2:].zfill(8					) for value in self.hashes]					)






    def    UpperCamelCase       (       self     :							Optional[int]       ,						__SCREAMING_SNAKE_CASE     :							Union[str, Any]       ,						__SCREAMING_SNAKE_CASE     :							Dict					)     ->		int:
      return 0Xffff_ffff & (value << (32 - rotations)) | (value >> rotations)






class      a						(					unittest.TestCase		):






    def    UpperCamelCase       (       self     :							Optional[Any]					)     ->		None:
      import hashlib

      lowerCamelCase_         =						bytes('Test String'       ,						'utf-8'					)
      self.assertEqual(SHAaaa(SCREAMING_SNAKE_CASE_					).hash       ,						hashlib.shaaaa(SCREAMING_SNAKE_CASE_					).hexdigest()					)







def      lowerCamelCase__       (							)      ->				None:
  import doctest

  doctest.testmod()

  lowerCamelCase_         =						argparse.ArgumentParser()
  parser.add_argument(
      '-s'		,				'--string'		,				dest='input_string'		,				default='Hello World!! Welcome to Cryptography'		,				help='Hash the string'		,				)
  parser.add_argument(
      '-f'		,				'--file'		,				dest='input_file'		,				help='Hash contents of a file' )

  lowerCamelCase_         =						parser.parse_args()

  lowerCamelCase_         =						args.input_string

  # hash input should be a bytestring
  if args.input_file:
    with open(args.input_file		,				'rb' ) as f:
      lowerCamelCase_         =						f.read()
  else:
    lowerCamelCase_         =						bytes(UpperCAmelCase_		,				'utf-8' )

  print(SHAaaa(UpperCAmelCase_ ).hash )


if __name__ == "__main__":
  main()








'''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


A__		:					Tuple												=  logging.get_logger(__name__)

A__		:					List[str]												=  {"""vocab_file""": """spm_char.model"""}

A__		:					str												=  {
    """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""",
    }
}

A__		:					List[Any]												=  {
    """microsoft/speecht5_asr""": 1024,
    """microsoft/speecht5_tts""": 1024,
    """microsoft/speecht5_vc""": 1024,
}





class    UpperCAmelCase_  (_UpperCAmelCase  ):





    """simple docstring"""






    lowerCamelCase  :					Optional[Any]							     =			VOCAB_FILES_NAMES
    lowerCamelCase  :					Any							     =			PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase  :					Union[str, Any]							     =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase  :					int							     =			['input_ids', 'attention_mask']







    def __init__(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_="<s>"			,     SCREAMING_SNAKE_CASE_="</s>"			,     SCREAMING_SNAKE_CASE_="<unk>"			,     SCREAMING_SNAKE_CASE_="<pad>"			,     SCREAMING_SNAKE_CASE_ = None			,     **SCREAMING_SNAKE_CASE_			,     )				->     None:
         __lowerCamelCase   :	Any								=		{} if sp_model_kwargs is None else sp_model_kwargs

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

         __lowerCamelCase   :	List[Any]								=		vocab_file

         __lowerCamelCase   :	str								=		spm.SentencePieceProcessor(**self.sp_model_kwargs	)
         self.sp_model.Load(SCREAMING_SNAKE_CASE_	)







    @property
    def       lowercase_				(							self	)				->     List[str]:
         return self.sp_model.get_piece_size()







    def       lowercase_				(							self	)				->     Tuple:
         __lowerCamelCase   :	str								=		{self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_	): i for i in range(self.vocab_size	)}
         vocab.update(self.added_tokens_encoder	)
         return vocab







    def __getstate__(							self	)				->     Optional[Any]:
         __lowerCamelCase   :	Dict								=		self.__dict__.copy()
         __lowerCamelCase   :	int								=		None
         return state







    def __setstate__(							self			,     SCREAMING_SNAKE_CASE_	)				->     List[str]:
         __lowerCamelCase   :	Union[str, Any]								=		d

         # for backward compatibility
         if not hasattr(self			,     'sp_model_kwargs'	):
              __lowerCamelCase   :	List[str]								=		{}

         __lowerCamelCase   :	Dict								=		spm.SentencePieceProcessor(**self.sp_model_kwargs	)
         self.sp_model.Load(self.vocab_file	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     List[str]:
         return self.sp_model.encode(SCREAMING_SNAKE_CASE_			,     out_type=SCREAMING_SNAKE_CASE_	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     str:
         return self.sp_model.piece_to_id(SCREAMING_SNAKE_CASE_	)







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     Dict:
         __lowerCamelCase   :	Any								=		self.sp_model.IdToPiece(SCREAMING_SNAKE_CASE_	)
         return token







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_	)				->     List[Any]:
         __lowerCamelCase   :	Union[str, Any]								=		[]
         __lowerCamelCase   :	str								=		''
         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(SCREAMING_SNAKE_CASE_	) + token
                   __lowerCamelCase   :	int								=		[]
              else:
                   current_sub_tokens.append(SCREAMING_SNAKE_CASE_	)
         out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE_	)
         return out_string.strip()







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_=None	)				->     List[int]:
         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       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_ = None			,     SCREAMING_SNAKE_CASE_ = False	)				->     List[int]:
         if already_has_special_tokens:
              return super().get_special_tokens_mask(
                  token_ids_a=SCREAMING_SNAKE_CASE_			,     token_ids_a=SCREAMING_SNAKE_CASE_			,     already_has_special_tokens=SCREAMING_SNAKE_CASE_	)

         __lowerCamelCase   :	str								=		[1]
         if token_ids_a is None:
              return ([0] * len(SCREAMING_SNAKE_CASE_	)) + suffix_ones
         return ([0] * len(SCREAMING_SNAKE_CASE_	)) + ([0] * len(SCREAMING_SNAKE_CASE_	)) + suffix_ones







    def       lowercase_				(							self			,     SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_ = None	)				->     Tuple[str]:
         if not os.path.isdir(SCREAMING_SNAKE_CASE_	):
              logger.error(f'Vocabulary path ({save_directory}) should be a directory'	)
              return
         __lowerCamelCase   :	Tuple								=		os.path.join(
             SCREAMING_SNAKE_CASE_			,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']	)

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

         return (out_vocab_file,)






