



"""simple docstring"""


import argparse
import struct
import unittest
class 	_a       :
			"""simple docstring"""



			def __init__(						self   :			Optional[int] ,      __UpperCamelCase   :			List[str]      )->None:
							_UpperCAmelCase							=			data

							# Initialize hash values
							_UpperCAmelCase							=			[
							    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
							_UpperCAmelCase							=			[
							    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,
							]

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



			@staticmethod
			def        lowercase__  (						__UpperCamelCase   :			str      )->bytes:
							_UpperCAmelCase							=			B'\x80' + (B'\x00' * (6_3 - (len(__UpperCamelCase      ) + 8) % 6_4))
							_UpperCAmelCase							=			struct.pack('''>Q''' ,      (len(__UpperCamelCase      ) * 8)      )
							return data + padding + big_endian_integer



			def        lowercase__  (						self   :			Tuple      )->None:
							_UpperCAmelCase							=			[
							    self.preprocessed_data[x : x + 6_4]
							    for x in range(0 ,      len(self.preprocessed_data      ) ,      6_4      )
							]

							for block in self.blocks:
											# Convert the given block into a list of 4 byte integers
											_UpperCAmelCase							=			list(struct.unpack('''>16L''' ,      __UpperCamelCase      )      )
											# add 48 0-ed integers
											words += [0] * 4_8

											_UpperCAmelCase							=			self.hashes

											for index in range(0 ,      6_4      ):
															if index > 1_5:
																			# modify the zero-ed indexes at the end of the array
																			_UpperCAmelCase							=			(
																			    self.ror(words[index - 1_5] ,      7      )
																			    ^ self.ror(words[index - 1_5] ,      1_8      )
																			    ^ (words[index - 1_5] >> 3)
																			)
																			_UpperCAmelCase							=			(
																			    self.ror(words[index - 2] ,      1_7      )
																			    ^ self.ror(words[index - 2] ,      1_9      )
																			    ^ (words[index - 2] >> 1_0)
																			)

																			_UpperCAmelCase							=			(
																			    words[index - 1_6] + sa + words[index - 7] + sa
																			) % 0X1_00_00_00_00

															# Compression
															_UpperCAmelCase							=			self.ror(__UpperCamelCase ,      6      ) ^ self.ror(__UpperCamelCase ,      1_1      ) ^ self.ror(__UpperCamelCase ,      2_5      )
															_UpperCAmelCase							=			(e & f) ^ ((~e & 0XFF_FF_FF_FF) & g)
															_UpperCAmelCase							=			(
															    h + sa + ch + self.round_constants[index] + words[index]
															) % 0X1_00_00_00_00
															_UpperCAmelCase							=			self.ror(__UpperCamelCase ,      2      ) ^ self.ror(__UpperCamelCase ,      1_3      ) ^ self.ror(__UpperCamelCase ,      2_2      )
															_UpperCAmelCase							=			(a & b) ^ (a & c) ^ (b & c)
															_UpperCAmelCase							=			(sa + maj) % 0X1_00_00_00_00

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

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

											# Modify final values
											_UpperCAmelCase							=			[
											    ((element + mutated_hash_values[index]) % 0X1_00_00_00_00)
											    for index, element in enumerate(self.hashes      )
											]

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



			def        lowercase__  (						self   :			List[str] ,      __UpperCamelCase   :			Optional[int] ,      __UpperCamelCase   :			str      )->int:
							return 0XFF_FF_FF_FF & (value << (3_2 - rotations)) | (value >> rotations)



class 	_a       (    unittest.TestCase):
			"""simple docstring"""



			def        lowercase__  (						self   :			List[str]      )->None:
							import hashlib

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







def        lowercase		(					):






				'''simple docstring'''



				import doctest

				doctest.testmod()

				_UpperCAmelCase							=			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''' )

				_UpperCAmelCase							=			parser.parse_args()

				_UpperCAmelCase							=			args.input_string

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

				print(SHAaaa(__SCREAMING_SNAKE_CASE ).hash )


if __name__ == "__main__":
					main()




"""simple docstring"""







import os
from shutil import copyfile
from typing import List, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
       from .tokenization_mbart import MBartTokenizer
else:
       __SCREAMING_SNAKE_CASE    	=None


__SCREAMING_SNAKE_CASE    	=logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE    	={"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

__SCREAMING_SNAKE_CASE    	={
    "vocab_file": {
        "facebook/mbart-large-en-ro": (
            "https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/sentencepiece.bpe.model"
        ),
        "facebook/mbart-large-cc25": (
            "https://huggingface.co/facebook/mbart-large-cc25/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "facebook/mbart-large-en-ro": "https://huggingface.co/facebook/mbart-large-en-ro/resolve/main/tokenizer.json",
        "facebook/mbart-large-cc25": "https://huggingface.co/facebook/mbart-large-cc25/resolve/main/tokenizer.json",
    },
}

__SCREAMING_SNAKE_CASE    	={
    "facebook/mbart-large-en-ro": 1024,
    "facebook/mbart-large-cc25": 1024,
}

# fmt: off
__SCREAMING_SNAKE_CASE    	=["ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI", "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "kk_KZ", "ko_KR", "lt_LT", "lv_LV", "my_MM", "ne_NP", "nl_XX", "ro_RO", "ru_RU", "si_LK", "tr_TR", "vi_VN", "zh_CN"]







class        UpperCamelCase		(			lowercase_  ):
   lowercase							=  VOCAB_FILES_NAMES
   lowercase							=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   lowercase							=  PRETRAINED_VOCAB_FILES_MAP
   lowercase							=  ['input_ids', 'attention_mask']
   lowercase							=  MBartTokenizer

   lowercase							=  []
   lowercase							=  []
   def __init__(			self     ,__UpperCamelCase=None     ,__UpperCamelCase=None     ,__UpperCamelCase="<s>"     ,__UpperCamelCase="</s>"     ,__UpperCamelCase="</s>"     ,__UpperCamelCase="<s>"     ,__UpperCamelCase="<unk>"     ,__UpperCamelCase="<pad>"     ,__UpperCamelCase="<mask>"     ,__UpperCamelCase=None     ,__UpperCamelCase=None     ,__UpperCamelCase=None     ,**__UpperCamelCase     ,)	->      List[str]:


        '''simple docstring'''


        lowercase_	:				str													=	AddedToken(__UpperCamelCase     ,lstrip=__UpperCamelCase     ,rstrip=__UpperCamelCase			) if isinstance(__UpperCamelCase     ,__UpperCamelCase			) else mask_token

        super().__init__(
            vocab_file=__UpperCamelCase     ,tokenizer_file=__UpperCamelCase     ,bos_token=__UpperCamelCase     ,eos_token=__UpperCamelCase     ,sep_token=__UpperCamelCase     ,cls_token=__UpperCamelCase     ,unk_token=__UpperCamelCase     ,pad_token=__UpperCamelCase     ,mask_token=__UpperCamelCase     ,src_lang=__UpperCamelCase     ,tgt_lang=__UpperCamelCase     ,additional_special_tokens=__UpperCamelCase     ,**__UpperCamelCase     ,)

        lowercase_	:				str													=	vocab_file
        lowercase_	:				Optional[Any]													=	False if not self.vocab_file else True

        lowercase_	:				List[str]													=	FAIRSEQ_LANGUAGE_CODES.copy()

        if additional_special_tokens is not None:
             # Only add those special tokens if they are not already there.
             _additional_special_tokens.extend(
                 [t for t in additional_special_tokens if t not in _additional_special_tokens]			)

        self.add_special_tokens({'additional_special_tokens': _additional_special_tokens}			)
        lowercase_	:				List[Any]													=	{
            lang_code: self.convert_tokens_to_ids(__UpperCamelCase			) for lang_code in FAIRSEQ_LANGUAGE_CODES
        }

        lowercase_	:				Dict													=	src_lang if src_lang is not None else 'en_XX'
        lowercase_	:				Union[str, Any]													=	self.convert_tokens_to_ids(self._src_lang			)
        lowercase_	:				int													=	tgt_lang
        self.set_src_lang_special_tokens(self._src_lang			)
   @property
   def 			_UpperCAmelCase   (			self			)	->      str:


        '''simple docstring'''


        return self._src_lang
   @src_lang.setter
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        lowercase_	:				Optional[int]													=	new_src_lang
        self.set_src_lang_special_tokens(self._src_lang			)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase     ,__UpperCamelCase = 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 			_UpperCAmelCase   (			self     ,__UpperCamelCase     ,__UpperCamelCase = None			)	->      List[int]:


        '''simple docstring'''


        lowercase_	:				List[Any]													=	[self.sep_token_id]
        lowercase_	:				str													=	[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 			_UpperCAmelCase   (			self     ,__UpperCamelCase     ,__UpperCamelCase     ,__UpperCamelCase     ,__UpperCamelCase     ,**__UpperCamelCase			)	->      Union[str, Any]:


        '''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_	:				Dict													=	src_lang
        lowercase_	:				List[Any]													=	self(__UpperCamelCase     ,add_special_tokens=__UpperCamelCase     ,return_tensors=__UpperCamelCase     ,**__UpperCamelCase			)
        lowercase_	:				Optional[Any]													=	self.convert_tokens_to_ids(__UpperCamelCase			)
        lowercase_	:				Dict													=	tgt_lang_id
        return inputs
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase     ,__UpperCamelCase = "en_XX"     ,__UpperCamelCase = None     ,__UpperCamelCase = "ro_RO"     ,**__UpperCamelCase     ,)	->      BatchEncoding:


        '''simple docstring'''


        lowercase_	:				Union[str, Any]													=	src_lang
        lowercase_	:				List[Any]													=	tgt_lang
        return super().prepare_seqaseq_batch(__UpperCamelCase     ,__UpperCamelCase     ,**__UpperCamelCase			)
   def 			_UpperCAmelCase   (			self			)	->      Union[str, Any]:


        '''simple docstring'''


        return self.set_src_lang_special_tokens(self.src_lang			)
   def 			_UpperCAmelCase   (			self			)	->      int:


        '''simple docstring'''


        return self.set_tgt_lang_special_tokens(self.tgt_lang			)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        lowercase_	:				Any													=	self.convert_tokens_to_ids(__UpperCamelCase			)
        lowercase_	:				Optional[Any]													=	[]
        lowercase_	:				int													=	[self.eos_token_id, self.cur_lang_code]

        lowercase_	:				Any													=	self.convert_ids_to_tokens(self.prefix_tokens			)
        lowercase_	:				int													=	self.convert_ids_to_tokens(self.suffix_tokens			)

        lowercase_	:				Union[str, Any]													=	processors.TemplateProcessing(
            single=prefix_tokens_str + ['$A'] + suffix_tokens_str     ,pair=prefix_tokens_str + ['$A', '$B'] + suffix_tokens_str     ,special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str     ,self.prefix_tokens + self.suffix_tokens			)			)     ,)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      None:


        '''simple docstring'''


        lowercase_	:				Optional[int]													=	self.convert_tokens_to_ids(__UpperCamelCase			)
        lowercase_	:				str													=	[]
        lowercase_	:				Dict													=	[self.eos_token_id, self.cur_lang_code]

        lowercase_	:				str													=	self.convert_ids_to_tokens(self.prefix_tokens			)
        lowercase_	:				List[Any]													=	self.convert_ids_to_tokens(self.suffix_tokens			)

        lowercase_	:				int													=	processors.TemplateProcessing(
            single=prefix_tokens_str + ['$A'] + suffix_tokens_str     ,pair=prefix_tokens_str + ['$A', '$B'] + suffix_tokens_str     ,special_tokens=list(zip(prefix_tokens_str + suffix_tokens_str     ,self.prefix_tokens + self.suffix_tokens			)			)     ,)







   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase     ,__UpperCamelCase = None			)	->      Tuple[str]:


        '''simple docstring'''


        if not self.can_save_slow_tokenizer:
             raise ValueError(
                 'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
                 'tokenizer.'			)

        if not os.path.isdir(__UpperCamelCase			):
             logger.error(f'''Vocabulary path ({save_directory}) should be a directory.'''			)
             return
        lowercase_	:				Tuple													=	os.path.join(
            __UpperCamelCase     ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)

        if os.path.abspath(self.vocab_file			) != os.path.abspath(__UpperCamelCase			):
             copyfile(self.vocab_file     ,__UpperCamelCase			)

        return (out_vocab_file,)

