






import argparse
import struct
import unittest


class 			SCREAMING_SNAKE_CASE      :
     '''simple docstring'''


     def __init__(					self							:						int       ,			UpperCAmelCase_							:						bytes   ):
       SCREAMING_SNAKE_CASE							:   Dict						    =     data

       # Initialize hash values
       SCREAMING_SNAKE_CASE							:   List[str]						    =     [
           0X6A_09_E6_67,
           0XBB_67_AE_85,
           0X3C_6E_F3_72,
           0XA5_4F_F5_3A,
           0X51_0E_52_7F,
           0X9B_05_68_8C,
           0X1F_83_D9_AB,
           0X5B_E0_CD_19,
       ]

       # Initialize round constants
       SCREAMING_SNAKE_CASE							:   List[str]						    =     [
           0X42_8A_2F_98,
           0X71_37_44_91,
           0XB5_C0_FB_CF,
           0XE9_B5_DB_A5,
           0X39_56_C2_5B,
           0X59_F1_11_F1,
           0X92_3F_82_A4,
           0XAB_1C_5E_D5,
           0XD8_07_AA_98,
           0X12_83_5B_01,
           0X24_31_85_BE,
           0X55_0C_7D_C3,
           0X72_BE_5D_74,
           0X80_DE_B1_FE,
           0X9B_DC_06_A7,
           0XC1_9B_F1_74,
           0XE4_9B_69_C1,
           0XEF_BE_47_86,
           0X0F_C1_9D_C6,
           0X24_0C_A1_CC,
           0X2D_E9_2C_6F,
           0X4A_74_84_AA,
           0X5C_B0_A9_DC,
           0X76_F9_88_DA,
           0X98_3E_51_52,
           0XA8_31_C6_6D,
           0XB0_03_27_C8,
           0XBF_59_7F_C7,
           0XC6_E0_0B_F3,
           0XD5_A7_91_47,
           0X06_CA_63_51,
           0X14_29_29_67,
           0X27_B7_0A_85,
           0X2E_1B_21_38,
           0X4D_2C_6D_FC,
           0X53_38_0D_13,
           0X65_0A_73_54,
           0X76_6A_0A_BB,
           0X81_C2_C9_2E,
           0X92_72_2C_85,
           0XA2_BF_E8_A1,
           0XA8_1A_66_4B,
           0XC2_4B_8B_70,
           0XC7_6C_51_A3,
           0XD1_92_E8_19,
           0XD6_99_06_24,
           0XF4_0E_35_85,
           0X10_6A_A0_70,
           0X19_A4_C1_16,
           0X1E_37_6C_08,
           0X27_48_77_4C,
           0X34_B0_BC_B5,
           0X39_1C_0C_B3,
           0X4E_D8_AA_4A,
           0X5B_9C_CA_4F,
           0X68_2E_6F_F3,
           0X74_8F_82_EE,
           0X78_A5_63_6F,
           0X84_C8_78_14,
           0X8C_C7_02_08,
           0X90_BE_FF_FA,
           0XA4_50_6C_EB,
           0XBE_F9_A3_F7,
           0XC6_71_78_F2,
       ]

       SCREAMING_SNAKE_CASE							:   Tuple						    =     self.preprocessing(self.data   )
       self.final_hash()


     @staticmethod
     def 					_A							(					UpperCAmelCase_							:						bytes   ):
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     b"\x80" + (b"\x00" * (63 - (len(UpperCAmelCase_   ) + 8) % 64))
       SCREAMING_SNAKE_CASE							:   List[Any]						    =     struct.pack(">Q"       ,			(len(UpperCAmelCase_   ) * 8)   )
       return data + padding + big_endian_integer


     def 					_A							(					self							:						Optional[Any]   ):
       # Convert into blocks of 64 bytes
       SCREAMING_SNAKE_CASE							:   int						    =     [
           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
         SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     list(struct.unpack(">16L"       ,			UpperCAmelCase_   )   )
         # add 48 0-ed integers
         words += [0] * 48

         SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE							:   int						    =     self.hashes

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

             SCREAMING_SNAKE_CASE							:   List[str]						    =     (
                 words[index - 16] + sa + words[index - 7] + sa
             ) % 0X1_00_00_00_00

           # Compression
           SCREAMING_SNAKE_CASE							:   Any						    =     self.ror(UpperCAmelCase_       ,			6   ) ^ self.ror(UpperCAmelCase_       ,			11   ) ^ self.ror(UpperCAmelCase_       ,			25   )
           SCREAMING_SNAKE_CASE							:   Any						    =     (e & f) ^ ((~e & 0XFF_FF_FF_FF) & g)
           SCREAMING_SNAKE_CASE							:   Dict						    =     (
               h + sa + ch + self.round_constants[index] + words[index]
           ) % 0X1_00_00_00_00
           SCREAMING_SNAKE_CASE							:   List[Any]						    =     self.ror(UpperCAmelCase_       ,			2   ) ^ self.ror(UpperCAmelCase_       ,			13   ) ^ self.ror(UpperCAmelCase_       ,			22   )
           SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     (a & b) ^ (a & c) ^ (b & c)
           SCREAMING_SNAKE_CASE							:   Optional[int]						    =     (sa + maj) % 0X1_00_00_00_00

           SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE    ,	SCREAMING_SNAKE_CASE							:   Any						    =     (
               g,
               f,
               e,
               ((d + tempa) % 0X1_00_00_00_00),
               c,
               b,
               a,
               ((tempa + tempa) % 0X1_00_00_00_00),
           )

         SCREAMING_SNAKE_CASE							:   List[str]						    =     [a, b, c, d, e, f, g, h]

         # Modify final values
         SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     [
             ((element + mutated_hash_values[index]) % 0X1_00_00_00_00)
             for index, element in enumerate(self.hashes   )
         ]

       SCREAMING_SNAKE_CASE							:   Any						    =     "".join([hex(UpperCAmelCase_   )[2:].zfill(8   ) for value in self.hashes]   )






     def 					_A							(					self							:						Union[str, Any]       ,			UpperCAmelCase_							:						int       ,			UpperCAmelCase_							:						int   ):
       return 0XFF_FF_FF_FF & (value << (32 - rotations)) | (value >> rotations)





class 			SCREAMING_SNAKE_CASE      (      unittest.TestCase       ):
     '''simple docstring'''


     def 					_A							(					self							:						Optional[Any]   ):
       import hashlib

       SCREAMING_SNAKE_CASE							:   int						    =     bytes("Test String"       ,			"utf-8"   )
       self.assertEqual(SHAaaa(UpperCAmelCase_   ).hash       ,			hashlib.shaaaa(UpperCAmelCase_   ).hexdigest()   )





def 	lowerCamelCase__      (  ):

  """simple docstring"""






  import doctest

  doctest.testmod()

  SCREAMING_SNAKE_CASE							:   int						    =     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"					)

  SCREAMING_SNAKE_CASE							:   Tuple						    =     parser.parse_args()

  SCREAMING_SNAKE_CASE							:   str						    =     args.input_string

  # hash input should be a bytestring
  if args.input_file:
    with open(args.input_file    ,  "rb"					) as f:
      SCREAMING_SNAKE_CASE							:   int						    =     f.read()
  else:
    SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     bytes(lowercase    ,  "utf-8"					)

  print(SHAaaa(lowercase					).hash					)


if __name__ == "__main__":
   main()









import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation

__A			:					Any						=			logging.get_logger(__name__)


__A			:					Any						=			{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

__A			:					Optional[Any]						=			{
    'vocab_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'},
    'merges_file': {'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'},
    'tokenizer_config_file': {
        'facebook/blenderbot-3B': 'https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'
    },
}

__A			:					Union[str, Any]						=			{'facebook/blenderbot-3B': 1_2_8}





@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 	__a     (      ):
    SCREAMING_SNAKE_CASE										=   (
        list(range(ord("!"       )			,  ord("~"       ) + 1       )       ) + list(range(ord("¡"       )			,  ord("¬"       ) + 1       )       ) + list(range(ord("®"       )			,  ord("ÿ"       ) + 1       )       )
    )
    SCREAMING_SNAKE_CASE										=   bs[:]
    SCREAMING_SNAKE_CASE										=   0
    for b in range(2**8       ):
        if b not in bs:
            bs.append(A__       )
            cs.append(2**8 + n       )
            n += 1
    SCREAMING_SNAKE_CASE										=   [chr(A__       ) for n in cs]
    return dict(zip(A__			,  A__       )       )





def 	__a     (      A__			:  List[Any]       ):
    SCREAMING_SNAKE_CASE										=   set()
    SCREAMING_SNAKE_CASE										=   word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)       )
        SCREAMING_SNAKE_CASE										=   char
    return pairs





class 			_SCREAMING_SNAKE_CASE (   __snake_case		):







   '''simple docstring'''




   lowerCamelCase__				=      VOCAB_FILES_NAMES
   lowerCamelCase__				=      PRETRAINED_VOCAB_FILES_MAP
   lowerCamelCase__				=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowerCamelCase__				=      ["input_ids", "attention_mask"]





   def __init__(       self					:			Union[str, Any]     , __lowerCamelCase					:			Dict     , __lowerCamelCase					:			Optional[Any]     , __lowerCamelCase					:			Any="replace"     , __lowerCamelCase					:			Optional[Any]="<s>"     , __lowerCamelCase					:			Optional[Any]="</s>"     , __lowerCamelCase					:			Any="</s>"     , __lowerCamelCase					:			Union[str, Any]="<s>"     , __lowerCamelCase					:			List[str]="<unk>"     , __lowerCamelCase					:			Optional[Any]="<pad>"     , __lowerCamelCase					:			Dict="<mask>"     , __lowerCamelCase					:			Any=False     , **__lowerCamelCase					:			Optional[Any]     , ):
       SCREAMING_SNAKE_CASE										=   AddedToken(__lowerCamelCase     , lstrip=__lowerCamelCase     , rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase     , __lowerCamelCase			) else bos_token
       SCREAMING_SNAKE_CASE										=   AddedToken(__lowerCamelCase     , lstrip=__lowerCamelCase     , rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase     , __lowerCamelCase			) else eos_token
       SCREAMING_SNAKE_CASE										=   AddedToken(__lowerCamelCase     , lstrip=__lowerCamelCase     , rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase     , __lowerCamelCase			) else sep_token
       SCREAMING_SNAKE_CASE										=   AddedToken(__lowerCamelCase     , lstrip=__lowerCamelCase     , rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase     , __lowerCamelCase			) else cls_token
       SCREAMING_SNAKE_CASE										=   AddedToken(__lowerCamelCase     , lstrip=__lowerCamelCase     , rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase     , __lowerCamelCase			) else unk_token
       SCREAMING_SNAKE_CASE										=   AddedToken(__lowerCamelCase     , lstrip=__lowerCamelCase     , rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase     , __lowerCamelCase			) else pad_token

       # Mask token behave like a normal word, i.e. include the space before it
       SCREAMING_SNAKE_CASE										=   AddedToken(__lowerCamelCase     , lstrip=__lowerCamelCase     , rstrip=__lowerCamelCase			) if isinstance(__lowerCamelCase     , __lowerCamelCase			) else mask_token

       super().__init__(
           errors=__lowerCamelCase     , bos_token=__lowerCamelCase     , eos_token=__lowerCamelCase     , unk_token=__lowerCamelCase     , sep_token=__lowerCamelCase     , cls_token=__lowerCamelCase     , pad_token=__lowerCamelCase     , mask_token=__lowerCamelCase     , add_prefix_space=__lowerCamelCase     , **__lowerCamelCase     , )

       with open(__lowerCamelCase     , encoding="utf-8"			) as vocab_handle:
           SCREAMING_SNAKE_CASE										=   json.load(__lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   {v: k for k, v in self.encoder.items()}
       SCREAMING_SNAKE_CASE										=   errors  # how to handle errors in decoding
       SCREAMING_SNAKE_CASE										=   bytes_to_unicode()
       SCREAMING_SNAKE_CASE										=   {v: k for k, v in self.byte_encoder.items()}
       with open(__lowerCamelCase     , encoding="utf-8"			) as merges_handle:
           SCREAMING_SNAKE_CASE										=   merges_handle.read().split("\n"			)[1:-1]
       SCREAMING_SNAKE_CASE										=   [tuple(merge.split()			) for merge in bpe_merges]
       SCREAMING_SNAKE_CASE										=   dict(zip(__lowerCamelCase     , range(len(__lowerCamelCase			)			)			)			)
       SCREAMING_SNAKE_CASE										=   {}
       SCREAMING_SNAKE_CASE										=   add_prefix_space

       # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
       SCREAMING_SNAKE_CASE										=   re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"			)





   @property
   # Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
   def      _snake_case		(       self					:			str			):
       return len(self.encoder			)





   def      _snake_case		(       self					:			Union[str, Any]			):
       return dict(self.encoder     , **self.added_tokens_encoder			)





   def      _snake_case		(       self					:			Dict     , __lowerCamelCase					:			List[Any]			):
       if token in self.cache:
           return self.cache[token]
       SCREAMING_SNAKE_CASE										=   tuple(__lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   get_pairs(__lowerCamelCase			)

       if not pairs:
           return token

       while True:
           SCREAMING_SNAKE_CASE										=   min(__lowerCamelCase     , key=lambda __lowerCamelCase			: self.bpe_ranks.get(__lowerCamelCase     , float("inf"			)			)			)
           if bigram not in self.bpe_ranks:
               break
           SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE										=   bigram
           SCREAMING_SNAKE_CASE										=   []
           SCREAMING_SNAKE_CASE										=   0
           while i < len(__lowerCamelCase			):
               try:
                   SCREAMING_SNAKE_CASE										=   word.index(__lowerCamelCase     , __lowerCamelCase			)
               except ValueError:
                   new_word.extend(word[i:]			)
                   break
               else:
                   new_word.extend(word[i:j]			)
                   SCREAMING_SNAKE_CASE										=   j

               if word[i] == first and i < len(__lowerCamelCase			) - 1 and word[i + 1] == second:
                   new_word.append(first + second			)
                   i += 2
               else:
                   new_word.append(word[i]			)
                   i += 1
           SCREAMING_SNAKE_CASE										=   tuple(__lowerCamelCase			)
           SCREAMING_SNAKE_CASE										=   new_word
           if len(__lowerCamelCase			) == 1:
               break
           else:
               SCREAMING_SNAKE_CASE										=   get_pairs(__lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   " ".join(__lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   word
       return word





   def      _snake_case		(       self					:			Optional[Any]     , __lowerCamelCase					:			List[Any]			):
       SCREAMING_SNAKE_CASE										=   []
       for token in re.findall(self.pat     , __lowerCamelCase			):
           SCREAMING_SNAKE_CASE										=   "".join(
               self.byte_encoder[b] for b in token.encode("utf-8"			)			)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
           bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__lowerCamelCase			).split(" "			)			)
       return bpe_tokens





   def      _snake_case		(       self					:			Tuple     , __lowerCamelCase					:			Dict			):
       return self.encoder.get(__lowerCamelCase     , self.encoder.get(self.unk_token			)			)





   def      _snake_case		(       self					:			Any     , __lowerCamelCase					:			Optional[int]			):
       return self.decoder.get(__lowerCamelCase			)





   def      _snake_case		(       self					:			Optional[int]     , __lowerCamelCase					:			List[Any]			):
       SCREAMING_SNAKE_CASE										=   "".join(__lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   bytearray([self.byte_decoder[c] for c in text]			).decode("utf-8"     , errors=self.errors			)
       return text





   def      _snake_case		(       self					:			Any     , __lowerCamelCase					:			str     , __lowerCamelCase					:			Optional[str] = None			):
       if not os.path.isdir(__lowerCamelCase			):
           logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
           return
       SCREAMING_SNAKE_CASE										=   os.path.join(
           __lowerCamelCase     , (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)
       SCREAMING_SNAKE_CASE										=   os.path.join(
           __lowerCamelCase     , (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"]			)

       with open(__lowerCamelCase     , "w"     , encoding="utf-8"			) as f:
           f.write(json.dumps(self.encoder     , indent=2     , sort_keys=__lowerCamelCase     , ensure_ascii=__lowerCamelCase			) + "\n"			)

       SCREAMING_SNAKE_CASE										=   0
       with open(__lowerCamelCase     , "w"     , encoding="utf-8"			) as writer:
           writer.write("#version: 0.2\n"			)
           for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     , key=lambda __lowerCamelCase			: kv[1]			):
               if index != token_index:
                   logger.warning(
                       f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
                       " Please check that the tokenizer is not corrupted!"			)
                   SCREAMING_SNAKE_CASE										=   token_index
               writer.write(" ".join(__lowerCamelCase			) + "\n"			)
               index += 1

       return vocab_file, merge_file





   def      _snake_case		(       self					:			Dict     , __lowerCamelCase					:			List[int]     , __lowerCamelCase					:			Optional[List[int]] = None     , __lowerCamelCase					:			bool = False			):
       if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=__lowerCamelCase     , token_ids_a=__lowerCamelCase     , already_has_special_tokens=__lowerCamelCase			)

       if token_ids_a is None:
           return [1] + ([0] * len(__lowerCamelCase			)) + [1]
       return [1] + ([0] * len(__lowerCamelCase			)) + [1, 1] + ([0] * len(__lowerCamelCase			)) + [1]





   def      _snake_case		(       self					:			Optional[Any]     , __lowerCamelCase					:			List[int]     , __lowerCamelCase					:			Optional[List[int]] = None			):
       SCREAMING_SNAKE_CASE										=   [self.sep_token_id]
       SCREAMING_SNAKE_CASE										=   [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      _snake_case		(       self					:			Optional[int]     , __lowerCamelCase					:			Dict     , __lowerCamelCase					:			Any=False     , **__lowerCamelCase					:			Union[str, Any]			):
       SCREAMING_SNAKE_CASE										=   kwargs.pop("add_prefix_space"     , self.add_prefix_space			)
       if (is_split_into_words or add_prefix_space) and (len(__lowerCamelCase			) > 0 and not text[0].isspace()):
           SCREAMING_SNAKE_CASE										=   " " + text
       return (text, kwargs)





   def      _snake_case		(       self					:			Any     , __lowerCamelCase					:			List[int]     , __lowerCamelCase					:			Optional[List[int]] = None			):
       return token_ids_a + [self.eos_token_id]





   def      _snake_case		(       self					:			int     , __lowerCamelCase					:			"Conversation"			):
       SCREAMING_SNAKE_CASE										=   []
       for is_user, text in conversation.iter_texts():
           if is_user:
               # We need to space prefix as it's being done within blenderbot
               inputs.append(" " + text			)
           else:
               # Generated responses should contain them already.
               inputs.append(__lowerCamelCase			)

       SCREAMING_SNAKE_CASE										=   "  ".join(__lowerCamelCase			)
       SCREAMING_SNAKE_CASE										=   self.encode(__lowerCamelCase			)
       if len(__lowerCamelCase			) > self.model_max_length:
           SCREAMING_SNAKE_CASE										=   input_ids[-self.model_max_length :]
           logger.warning(f"Trimmed input from conversation as it was longer than {self.model_max_length} tokens."			)
       return input_ids