



import argparse
import struct
import unittest

class    snake_case__				:







						"""simple docstring"""




						def __init__(   self					,   __lowercase  )					->      Union[str, Any]:
									"""simple docstring"""




									a__   :						Any						       =  data

									# Initialize hash values
									a__   :						Union[str, Any]						       =  [
									    0x6a09_e667,
									    0xbb67_ae85,
									    0x3c6e_f372,
									    0xa54f_f53a,
									    0x510e_527f,
									    0x9b05_688c,
									    0x1f83_d9ab,
									    0x5be0_cd19,
									]

									# Initialize round constants
									a__   :						Tuple						       =  [
									    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,
									]

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

						@staticmethod
						def 							SCREAMING_SNAKE_CASE__(   __lowercase  )					->      int:
									"""simple docstring"""




									a__   :						Union[str, Any]						       =  B"""\x80""" + (B"""\x00""" * (6_3 - (len(__SCREAMING_SNAKE_CASE  ) + 8) % 6_4))
									a__   :						Any						       =  struct.pack(""">Q"""					,   (len(__SCREAMING_SNAKE_CASE  ) * 8)  )
									return data + padding + big_endian_integer

						def 							SCREAMING_SNAKE_CASE__(   self  )					->      List[Any]:
									"""simple docstring"""




									a__   :						Union[str, Any]						       =  [
									    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
												a__   :						str						       =  list(struct.unpack(""">16L"""					,   __SCREAMING_SNAKE_CASE  )  )
												# add 48 0-ed integers
												words += [0] * 4_8

												a__       ,						a__       ,						a__       ,						a__       ,						a__       ,						a__       ,						a__       ,						a__   :						Any						       =  self.hashes

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

																		a__   :						int						       =  (
																		    words[index - 1_6] + sa + words[index - 7] + sa
																		) % 0x1_0000_0000

															# Compression
															a__   :						Optional[Any]						       =  self.ror(__SCREAMING_SNAKE_CASE					,   6  ) ^ self.ror(__SCREAMING_SNAKE_CASE					,   1_1  ) ^ self.ror(__SCREAMING_SNAKE_CASE					,   2_5  )
															a__   :						Optional[int]						       =  (e & f) ^ ((~e & 0xffff_ffff) & g)
															a__   :						Union[str, Any]						       =  (
															    h + sa + ch + self.round_constants[index] + words[index]
															) % 0x1_0000_0000
															a__   :						Dict						       =  self.ror(__SCREAMING_SNAKE_CASE					,   2  ) ^ self.ror(__SCREAMING_SNAKE_CASE					,   1_3  ) ^ self.ror(__SCREAMING_SNAKE_CASE					,   2_2  )
															a__   :						List[Any]						       =  (a & b) ^ (a & c) ^ (b & c)
															a__   :						Tuple						       =  (sa + maj) % 0x1_0000_0000

															a__       ,						a__       ,						a__       ,						a__       ,						a__       ,						a__       ,						a__       ,						a__   :						Dict						       =  (
															    g,
															    f,
															    e,
															    ((d + tempa) % 0x1_0000_0000),
															    c,
															    b,
															    a,
															    ((tempa + tempa) % 0x1_0000_0000),
															)

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

												# Modify final values
												a__   :						str						       =  [
												    ((element + mutated_hash_values[index]) % 0x1_0000_0000)
												    for index, element in enumerate(self.hashes  )
												]

									a__   :						List[Any]						       =  """""".join([hex(__SCREAMING_SNAKE_CASE  )[2:].zfill(8  ) for value in self.hashes]  )

						def 							SCREAMING_SNAKE_CASE__(   self					,   __lowercase					,   __lowercase  )					->      List[str]:
									"""simple docstring"""




									return 0xffff_ffff & (value << (3_2 - rotations)) | (value >> rotations)




class    snake_case__				(unittest.TestCase		):







						"""simple docstring"""




						def 							SCREAMING_SNAKE_CASE__(   self  )					->      int:
									"""simple docstring"""




									import hashlib

									a__   :						List[Any]						       =  bytes("""Test String"""					,   """utf-8"""  )
									self.assertEqual(SHAaaa(__SCREAMING_SNAKE_CASE  ).hash					,   hashlib.shaaaa(__SCREAMING_SNAKE_CASE  ).hexdigest()  )




def 	lowerCAmelCase_     (  )							->       Any:







			"""simple docstring"""
			import doctest

			doctest.testmod()

			a__   :						Any						       =  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""")

			a__   :						Optional[Any]						       =  parser.parse_args()

			a__   :						Tuple						       =  args.input_string

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

			print(SHAaaa(_UpperCAmelCase).hash)


if __name__ == "__main__":
		main()









from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader

class     _A       (	__UpperCAmelCase    ):



       def __init__(		self							:     Optional[int]     ,		__SCREAMING_SNAKE_CASE							:     NestedDataStructureLike[PathLike]     ,		__SCREAMING_SNAKE_CASE							:     Optional[NamedSplit] = None     ,		__SCREAMING_SNAKE_CASE							:     Optional[Features] = None     ,		__SCREAMING_SNAKE_CASE							:     str = None     ,		__SCREAMING_SNAKE_CASE							:     bool = False     ,		__SCREAMING_SNAKE_CASE							:     bool = False     ,		__SCREAMING_SNAKE_CASE							:     Optional[int] = None     ,		**__SCREAMING_SNAKE_CASE							:     List[str]     ,		):


           '''simple docstring'''

           super().__init__(
               __SCREAMING_SNAKE_CASE     ,		split=__SCREAMING_SNAKE_CASE     ,		features=__SCREAMING_SNAKE_CASE     ,		cache_dir=__SCREAMING_SNAKE_CASE     ,		keep_in_memory=__SCREAMING_SNAKE_CASE     ,		streaming=__SCREAMING_SNAKE_CASE     ,		num_proc=__SCREAMING_SNAKE_CASE     ,		**__SCREAMING_SNAKE_CASE     ,		)
           __a						       =				path_or_paths if isinstance(__SCREAMING_SNAKE_CASE     ,		__SCREAMING_SNAKE_CASE) else {self.split: path_or_paths}
           __a						       =				Text(
               cache_dir=__SCREAMING_SNAKE_CASE     ,		data_files=__SCREAMING_SNAKE_CASE     ,		features=__SCREAMING_SNAKE_CASE     ,		**__SCREAMING_SNAKE_CASE     ,		)





       def 		_lowerCamelCase			(		self							:     List[str]):


           '''simple docstring'''

           if self.streaming:
               __a						       =				self.builder.as_streaming_dataset(split=self.split)
           # Build regular (map-style) dataset
           else:
               __a						       =				None
               __a						       =				None
               __a						       =				None
               __a						       =				None

               self.builder.download_and_prepare(
                   download_config=__SCREAMING_SNAKE_CASE     ,		download_mode=__SCREAMING_SNAKE_CASE     ,		verification_mode=__SCREAMING_SNAKE_CASE     ,		base_path=__SCREAMING_SNAKE_CASE     ,		num_proc=self.num_proc     ,		)
               __a						       =				self.builder.as_dataset(
                   split=self.split     ,		verification_mode=__SCREAMING_SNAKE_CASE     ,		in_memory=self.keep_in_memory)
           return dataset





