




'''simple docstring'''

import argparse
import hashlib  # hashlib is only used inside the Test class
import struct






class 						a				:


				def __init__(		self    :					str       ,				lowercase_    :					Dict					):
									snake_case_									=				data
									snake_case_									=				[0X6_7_4_5_2_3_0_1, 0XE_F_C_D_A_B_8_9, 0X9_8_B_A_D_C_F_E, 0X1_0_3_2_5_4_7_6, 0XC_3_D_2_E_1_F_0]


				@staticmethod
				def   A_ (		lowercase_    :					str       ,				lowercase_    :					Any					):
									return ((n << b) | (n >> (32 - b))) & 0XF_F_F_F_F_F_F_F


				def   A_ (		self    :					List[Any]					):
									snake_case_									=				B'''\x80''' + B'''\x00''' * (63 - (len(self.data					) + 8) % 64)
									snake_case_									=				self.data + padding + struct.pack('''>Q'''       ,				8 * len(self.data					)					)
									return padded_data


				def   A_ (		self    :					List[Any]					):
									return [
									    self.padded_data[i : i + 64] for i in range(0       ,				len(self.padded_data					)       ,				64					)
									]


				def   A_ (		self    :					List[str]       ,				lowercase_    :					str					):
									snake_case_									=				list(struct.unpack('''>16L'''       ,				lowercase_					)					) + [0] * 64
									for i in range(16       ,				80					):
														snake_case_									=				self.rotate((w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16])       ,				1					)
									return w


				def   A_ (		self    :					Any					):
									snake_case_									=				self.padding()
									snake_case_									=				self.split_blocks()
									for block in self.blocks:
														snake_case_									=				self.expand_block(lowercase_					)
														snake_case_			,snake_case_			,snake_case_			,snake_case_			,snake_case_									=				self.h
														for i in range(0       ,				80					):
																			if 0 <= i < 20:
																								snake_case_									=				(b & c) | ((~b) & d)
																								snake_case_									=				0X5_A_8_2_7_9_9_9
																			elif 20 <= i < 40:
																								snake_case_									=				b ^ c ^ d
																								snake_case_									=				0X6_E_D_9_E_B_A_1
																			elif 40 <= i < 60:
																								snake_case_									=				(b & c) | (b & d) | (c & d)
																								snake_case_									=				0X8_F_1_B_B_C_D_C
																			elif 60 <= i < 80:
																								snake_case_									=				b ^ c ^ d
																								snake_case_									=				0XC_A_6_2_C_1_D_6
																			snake_case_			,snake_case_			,snake_case_			,snake_case_			,snake_case_									=				(
																			    self.rotate(lowercase_       ,				5					) + f + e + k + expanded_block[i] & 0XF_F_F_F_F_F_F_F,
																			    a,
																			    self.rotate(lowercase_       ,				30					),
																			    c,
																			    d,
																			)
														snake_case_									=				(
														    self.h[0] + a & 0XF_F_F_F_F_F_F_F,
														    self.h[1] + b & 0XF_F_F_F_F_F_F_F,
														    self.h[2] + c & 0XF_F_F_F_F_F_F_F,
														    self.h[3] + d & 0XF_F_F_F_F_F_F_F,
														    self.h[4] + e & 0XF_F_F_F_F_F_F_F,
														)
									return ("{:08x}" * 5).format(*self.h					)







def 		__magic_name__    (	)		->					Optional[int]:

					'''simple docstring'''

					snake_case_									=				b'''Test String'''
					assert SHAaHash(_A	).final_hash() == hashlib.shaa(_A	).hexdigest()  # noqa: S324


def 		__magic_name__    (	)		->					List[str]:

					'''simple docstring'''

					snake_case_									=				argparse.ArgumentParser(description='''Process some strings or files'''	)
					parser.add_argument(
					    '''--string''',      dest='''input_string''',      default='''Hello World!! Welcome to Cryptography''',      help='''Hash the string''',      )
					parser.add_argument('''--file''',      dest='''input_file''',      help='''Hash contents of a file'''	)
					snake_case_									=				parser.parse_args()
					snake_case_									=				args.input_string
					# In any case hash input should be a bytestring
					if args.input_file:
										with open(args.input_file,      '''rb'''	) as f:
															snake_case_									=				f.read()
					else:
										snake_case_									=				bytes(_A,      '''utf-8'''	)
					print(SHAaHash(_A	).final_hash()	)


if __name__ == "__main__":
							main()
							import doctest

							doctest.testmod()




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCamelCase           =					{
    '''configuration_deberta''': ['''DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DebertaConfig''', '''DebertaOnnxConfig'''],
    '''tokenization_deberta''': ['''DebertaTokenizer'''],
}

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase           =					['''DebertaTokenizerFast''']

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase           =					[
           '''DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''DebertaForMaskedLM''',
           '''DebertaForQuestionAnswering''',
           '''DebertaForSequenceClassification''',
           '''DebertaForTokenClassification''',
           '''DebertaModel''',
           '''DebertaPreTrainedModel''',
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase           =					[
           '''TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''TFDebertaForMaskedLM''',
           '''TFDebertaForQuestionAnswering''',
           '''TFDebertaForSequenceClassification''',
           '''TFDebertaForTokenClassification''',
           '''TFDebertaModel''',
           '''TFDebertaPreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_deberta import DEBERTA_PRETRAINED_CONFIG_ARCHIVE_MAP, DebertaConfig, DebertaOnnxConfig
       from .tokenization_deberta import DebertaTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_deberta_fast import DebertaTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_deberta import (
                  DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DebertaForMaskedLM,
                  DebertaForQuestionAnswering,
                  DebertaForSequenceClassification,
                  DebertaForTokenClassification,
                  DebertaModel,
                  DebertaPreTrainedModel,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_deberta import (
                  TF_DEBERTA_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFDebertaForMaskedLM,
                  TFDebertaForQuestionAnswering,
                  TFDebertaForSequenceClassification,
                  TFDebertaForTokenClassification,
                  TFDebertaModel,
                  TFDebertaPreTrainedModel,
              )


else:
       import sys

       lowerCamelCase           =					_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
