






"""simple docstring"""






import argparse
import struct
import unittest
class     __lowerCAmelCase :







  '''simple docstring'''


  def __init__(   self:		Union[str, Any]					,      UpperCamelCase_:		bytes       ):
     UpperCamelCase_			     =data

     # Initialize hash values
     UpperCamelCase_			     =[
         0X6A09E667,
         0XBB67AE85,
         0X3C6EF372,
         0XA54FF53A,
         0X510E527F,
         0X9B05688C,
         0X1F83D9AB,
         0X5BE0CD19,
     ]

     # Initialize round constants
     UpperCamelCase_			     =[
         0X428A2F98,
         0X71374491,
         0XB5C0FBCF,
         0XE9B5DBA5,
         0X3956C25B,
         0X59F111F1,
         0X923F82A4,
         0XAB1C5ED5,
         0XD807AA98,
         0X12835B01,
         0X243185BE,
         0X550C7DC3,
         0X72BE5D74,
         0X80DEB1FE,
         0X9BDC06A7,
         0XC19BF174,
         0XE49B69C1,
         0XEFBE4786,
         0X0FC19DC6,
         0X240CA1CC,
         0X2DE92C6F,
         0X4A7484AA,
         0X5CB0A9DC,
         0X76F988DA,
         0X983E5152,
         0XA831C66D,
         0XB00327C8,
         0XBF597FC7,
         0XC6E00BF3,
         0XD5A79147,
         0X06CA6351,
         0X14292967,
         0X27B70A85,
         0X2E1B2138,
         0X4D2C6DFC,
         0X53380D13,
         0X650A7354,
         0X766A0ABB,
         0X81C2C92E,
         0X92722C85,
         0XA2BFE8A1,
         0XA81A664B,
         0XC24B8B70,
         0XC76C51A3,
         0XD192E819,
         0XD6990624,
         0XF40E3585,
         0X106AA070,
         0X19A4C116,
         0X1E376C08,
         0X2748774C,
         0X34B0BCB5,
         0X391C0CB3,
         0X4ED8AA4A,
         0X5B9CCA4F,
         0X682E6FF3,
         0X748F82EE,
         0X78A5636F,
         0X84C87814,
         0X8CC70208,
         0X90BEFFFA,
         0XA4506CEB,
         0XBEF9A3F7,
         0XC67178F2,
     ]

     UpperCamelCase_			     =self.preprocessing(self.data       )
     self.final_hash()
  @staticmethod
  def        UpperCamelCase__ (   UpperCamelCase_:		bytes       ):
     UpperCamelCase_			     =B"\x80" + (B"\x00" * (63 - (len(_UpperCAmelCase       ) + 8) % 64))
     UpperCamelCase_			     =struct.pack(">Q"					,      (len(_UpperCAmelCase       ) * 8)       )
     return data + padding + big_endian_integer
  def        UpperCamelCase__ (   self:		Tuple       ):
     UpperCamelCase_			     =[
         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
        UpperCamelCase_			     =list(struct.unpack(">16L"					,      _UpperCAmelCase       )       )
        # add 48 0-ed integers
        words += [0] * 48

        UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_			     =self.hashes

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

              UpperCamelCase_			     =(
                  words[index - 16] + sa + words[index - 7] + sa
              ) % 0X100000000

           # Compression
           UpperCamelCase_			     =self.ror(_UpperCAmelCase					,      6       ) ^ self.ror(_UpperCAmelCase					,      11       ) ^ self.ror(_UpperCAmelCase					,      25       )
           UpperCamelCase_			     =(e & f) ^ ((~e & 0XFFFFFFFF) & g)
           UpperCamelCase_			     =(
               h + sa + ch + self.round_constants[index] + words[index]
           ) % 0X100000000
           UpperCamelCase_			     =self.ror(_UpperCAmelCase					,      2       ) ^ self.ror(_UpperCAmelCase					,      13       ) ^ self.ror(_UpperCAmelCase					,      22       )
           UpperCamelCase_			     =(a & b) ^ (a & c) ^ (b & c)
           UpperCamelCase_			     =(sa + maj) % 0X100000000

           UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_     ,				UpperCamelCase_			     =(
               g,
               f,
               e,
               ((d + tempa) % 0X100000000),
               c,
               b,
               a,
               ((tempa + tempa) % 0X100000000),
           )

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

        # Modify final values
        UpperCamelCase_			     =[
            ((element + mutated_hash_values[index]) % 0X100000000)
            for index, element in enumerate(self.hashes       )
        ]

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





  def        UpperCamelCase__ (   self:		str					,      UpperCamelCase_:		int					,      UpperCamelCase_:		int       ):
     return 0XFFFFFFFF & (value << (32 - rotations)) | (value >> rotations)




class     __lowerCAmelCase (      unittest.TestCase							):







  '''simple docstring'''


  def        UpperCamelCase__ (   self:		Dict       ):
     import hashlib

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




def     _UpperCamelCase      (	):
   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(A     ,							"utf-8"      )

   print(SHAaaa(A      ).hash      )


if __name__ == "__main__":
    main()




import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A			:						Optional[Any]        =  get_tests_dir('fixtures/test_sentencepiece_no_bos.model')



@require_sentencepiece
@require_tokenizers
class 				A       (			UpperCAmelCase__					,    unittest.TestCase				):
					'''simple docstring'''






					A__     =					PegasusTokenizer
					A__     =					PegasusTokenizerFast
					A__     =					True
					A__     =					True

					def     lowerCamelCase__	(self       :		List[Any]						)		->  Tuple:




							"""simple docstring"""


							super().setUp()

							# We have a SentencePiece fixture for testing
							lowercase__	     =						PegasusTokenizer(_UpperCAmelCase						)
							tokenizer.save_pretrained(self.tmpdirname						)

					@cached_property
					def     lowerCamelCase__	(self       :		Tuple						)		->  Any:




							"""simple docstring"""


							return PegasusTokenizer.from_pretrained("""google/pegasus-large"""						)

					def     lowerCamelCase__	(self       :		Tuple ,   **_UpperCAmelCase       :		int						)		->  PegasusTokenizer:




							"""simple docstring"""


							return PegasusTokenizer.from_pretrained(self.tmpdirname ,   **_UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		Optional[int] ,   _UpperCAmelCase       :		Any						)		->  List[str]:




							"""simple docstring"""


							return ("This is a test", "This is a test")

					def     lowerCamelCase__	(self       :		Dict						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						"""</s>"""
							lowercase__	     =						1

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase						) ,   _UpperCAmelCase						)
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase						) ,   _UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		Optional[int]						)		->  str:




							"""simple docstring"""


							lowercase__	     =						list(self.get_tokenizer().get_vocab().keys()						)

							self.assertEqual(vocab_keys[0] ,   """<pad>"""						)
							self.assertEqual(vocab_keys[1] ,   """</s>"""						)
							self.assertEqual(vocab_keys[-1] ,   """v"""						)
							self.assertEqual(len(_UpperCAmelCase						) ,   1103						)

					def     lowerCamelCase__	(self       :		str						)		->  Dict:




							"""simple docstring"""


							self.assertEqual(self.get_tokenizer().vocab_size ,   1103						)

					def     lowerCamelCase__	(self       :		Any						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						self.rust_tokenizer_class.from_pretrained(self.tmpdirname						)
							lowercase__	     =						self.tokenizer_class.from_pretrained(self.tmpdirname						)
							lowercase__	     =						(
							    """Let's see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important"""
							    """ </s> <pad> <pad> <pad>"""
							)
							lowercase__	     =						rust_tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						).input_ids[0]
							lowercase__	     =						py_tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						).input_ids[0]
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		int						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						self._large_tokenizer
							# <mask_1> masks whole sentence while <mask_2> masks single word
							lowercase__	     =						"""<mask_1> To ensure a <mask_2> flow of bank resolutions."""
							lowercase__	     =						[2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
							lowercase__	     =						tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase						).input_ids[0]
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		Optional[Any]						)		->  int:




							"""simple docstring"""


							lowercase__	     =						self._large_tokenizer
							# The tracebacks for the following asserts are **better** without messages or self.assertEqual
							assert tokenizer.vocab_size == 9_6103
							assert tokenizer.pad_token_id == 0
							assert tokenizer.eos_token_id == 1
							assert tokenizer.offset == 103
							assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
							assert tokenizer.unk_token == "<unk>"
							assert tokenizer.model_max_length == 1024
							lowercase__	     =						"""To ensure a smooth flow of bank resolutions."""
							lowercase__	     =						[413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
							lowercase__	     =						tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase						).input_ids[0]
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)
							assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]						) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]

					@require_torch
					def     lowerCamelCase__	(self       :		Union[str, Any]						)		->  Union[str, Any]:




							"""simple docstring"""


							lowercase__	     =						["""This is going to be way too long.""" * 150, """short example"""]
							lowercase__	     =						["""not super long but more than 5 tokens""", """tiny"""]
							lowercase__	     =						self._large_tokenizer(_UpperCAmelCase ,   padding=_UpperCAmelCase ,   truncation=_UpperCAmelCase ,   return_tensors="""pt"""						)
							lowercase__	     =						self._large_tokenizer(
							    text_target=_UpperCAmelCase ,   max_length=5 ,   padding=_UpperCAmelCase ,   truncation=_UpperCAmelCase ,   return_tensors="""pt"""						)

							assert batch.input_ids.shape == (2, 1024)
							assert batch.attention_mask.shape == (2, 1024)
							assert targets["input_ids"].shape == (2, 5)
							assert len(_UpperCAmelCase						) == 2  # input_ids, attention_mask.


					@slow
					def     lowerCamelCase__	(self       :		List[Any]						)		->  List[Any]:




							"""simple docstring"""


							lowercase__	     =						{"""input_ids""": [[3_8979, 143, 1_8485, 606, 130, 2_6669, 8_7686, 121, 5_4189, 1129, 111, 2_6669, 8_7686, 121, 9114, 1_4787, 121, 1_3249, 158, 592, 956, 121, 1_4621, 3_1576, 143, 6_2613, 108, 9688, 930, 4_3430, 1_1562, 6_2613, 304, 108, 1_1443, 897, 108, 9314, 1_7415, 6_3399, 108, 1_1443, 7614, 1_8316, 118, 4284, 7148, 1_2430, 143, 1400, 2_5703, 158, 111, 4284, 7148, 1_1772, 143, 2_1297, 1064, 158, 122, 204, 3506, 1754, 1133, 1_4787, 1581, 115, 3_3224, 4482, 111, 1355, 110, 2_9173, 317, 5_0833, 108, 2_0147, 9_4665, 111, 7_7198, 107, 1], [110, 6_2613, 117, 638, 112, 1133, 121, 2_0098, 1355, 7_9050, 1_3872, 135, 1596, 5_3541, 1352, 141, 1_3039, 5542, 124, 302, 518, 111, 268, 2956, 115, 149, 4427, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [139, 1235, 2799, 1_8289, 1_7780, 204, 109, 9474, 1296, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=_UpperCAmelCase ,   model_name="""google/bigbird-pegasus-large-arxiv""" ,   revision="""ba85d0851d708441f91440d509690f1ab6353415""" ,   )






@require_sentencepiece
@require_tokenizers
class 				A       (			UpperCAmelCase__					,    unittest.TestCase				):
					'''simple docstring'''






					A__     =					PegasusTokenizer
					A__     =					PegasusTokenizerFast
					A__     =					True
					A__     =					True

					def     lowerCamelCase__	(self       :		Any						)		->  int:




							"""simple docstring"""


							super().setUp()

							# We have a SentencePiece fixture for testing
							lowercase__	     =						PegasusTokenizer(_UpperCAmelCase ,   offset=0 ,   mask_token_sent=_UpperCAmelCase ,   mask_token="""[MASK]"""						)
							tokenizer.save_pretrained(self.tmpdirname						)

					@cached_property
					def     lowerCamelCase__	(self       :		Any						)		->  str:




							"""simple docstring"""


							return PegasusTokenizer.from_pretrained("""google/bigbird-pegasus-large-arxiv"""						)

					def     lowerCamelCase__	(self       :		str ,   **_UpperCAmelCase       :		Union[str, Any]						)		->  PegasusTokenizer:




							"""simple docstring"""


							return PegasusTokenizer.from_pretrained(self.tmpdirname ,   **_UpperCAmelCase						)

					def     lowerCamelCase__	(self       :		Tuple ,   _UpperCAmelCase       :		Any						)		->  Union[str, Any]:




							"""simple docstring"""


							return ("This is a test", "This is a test")

					def     lowerCamelCase__	(self       :		Any						)		->  int:




							"""simple docstring"""


							lowercase__	     =						self.rust_tokenizer_class.from_pretrained(self.tmpdirname						)
							lowercase__	     =						self.tokenizer_class.from_pretrained(self.tmpdirname						)
							lowercase__	     =						(
							    """Let's see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>"""
							    """ <pad> <pad> <pad>"""
							)
							lowercase__	     =						rust_tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						).input_ids[0]
							lowercase__	     =						py_tokenizer([raw_input_str] ,   return_tensors=_UpperCAmelCase ,   add_special_tokens=_UpperCAmelCase						).input_ids[0]
							self.assertListEqual(_UpperCAmelCase ,   _UpperCAmelCase						)

					@require_torch
					def     lowerCamelCase__	(self       :		List[str]						)		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						["""This is going to be way too long.""" * 1000, """short example"""]
							lowercase__	     =						["""not super long but more than 5 tokens""", """tiny"""]
							lowercase__	     =						self._large_tokenizer(_UpperCAmelCase ,   padding=_UpperCAmelCase ,   truncation=_UpperCAmelCase ,   return_tensors="""pt"""						)
							lowercase__	     =						self._large_tokenizer(
							    text_target=_UpperCAmelCase ,   max_length=5 ,   padding=_UpperCAmelCase ,   truncation=_UpperCAmelCase ,   return_tensors="""pt"""						)

							assert batch.input_ids.shape == (2, 4096)
							assert batch.attention_mask.shape == (2, 4096)
							assert targets["input_ids"].shape == (2, 5)
							assert len(_UpperCAmelCase						) == 2  # input_ids, attention_mask.


					def     lowerCamelCase__	(self       :		Optional[int]						)		->  Any:




							"""simple docstring"""


							lowercase__	     =						(
							    """This is an example string that is used to test the original TF implementation against the HF"""
							    """ implementation"""
							)

							lowercase__	     =						self._large_tokenizer(_UpperCAmelCase						).input_ids

							self.assertListEqual(
							    _UpperCAmelCase ,   [182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 2_5016, 3137, 464, 109, 2_6955, 3137, 1] ,   )

