

import argparse
import struct
import unittest





class 			_SCREAMING_SNAKE_CASE :







   '''simple docstring'''




   def __init__(       self					:			Any     , __lowerCamelCase					:			bytes			):
       SCREAMING_SNAKE_CASE										=   data

       # Initialize hash values
       SCREAMING_SNAKE_CASE										=   [
           0x6A_09E_667,
           0xBB_67A_E85,
           0x3C_6EF_372,
           0xA5_4FF_53A,
           0x51_0E5_27F,
           0x9B_056_88C,
           0x1F_83D_9AB,
           0x5B_E0C_D19,
       ]

       # Initialize round constants
       SCREAMING_SNAKE_CASE										=   [
           0x42_8A2_F98,
           0x71_374_491,
           0xB5_C0F_BCF,
           0xE9_B5D_BA5,
           0x39_56C_25B,
           0x59_F11_1F1,
           0x92_3F8_2A4,
           0xAB_1C5_ED5,
           0xD8_07A_A98,
           0x12_835_B01,
           0x24_318_5BE,
           0x55_0C7_DC3,
           0x72_BE5_D74,
           0x80_DEB_1FE,
           0x9B_DC0_6A7,
           0xC1_9BF_174,
           0xE4_9B6_9C1,
           0xEF_BE4_786,
           0x0F_C19_DC6,
           0x24_0CA_1CC,
           0x2D_E92_C6F,
           0x4A_748_4AA,
           0x5C_B0A_9DC,
           0x76_F98_8DA,
           0x98_3E5_152,
           0xA8_31C_66D,
           0xB0_032_7C8,
           0xBF_597_FC7,
           0xC6_E00_BF3,
           0xD5_A79_147,
           0x06_CA6_351,
           0x14_292_967,
           0x27_B70_A85,
           0x2E_1B2_138,
           0x4D_2C6_DFC,
           0x53_380_D13,
           0x65_0A7_354,
           0x76_6A0_ABB,
           0x81_C2C_92E,
           0x92_722_C85,
           0xA2_BFE_8A1,
           0xA8_1A6_64B,
           0xC2_4B8_B70,
           0xC7_6C5_1A3,
           0xD1_92E_819,
           0xD6_990_624,
           0xF4_0E3_585,
           0x10_6AA_070,
           0x19_A4C_116,
           0x1E_376_C08,
           0x27_487_74C,
           0x34_B0B_CB5,
           0x39_1C0_CB3,
           0x4E_D8A_A4A,
           0x5B_9CC_A4F,
           0x68_2E6_FF3,
           0x74_8F8_2EE,
           0x78_A56_36F,
           0x84_C87_814,
           0x8C_C70_208,
           0x90_BEF_FFA,
           0xA4_506_CEB,
           0xBE_F9A_3F7,
           0xC6_717_8F2,
       ]

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





   @staticmethod
   def      _snake_case		(       __lowerCamelCase					:			bytes			):
       SCREAMING_SNAKE_CASE										=   b"\x80" + (b"\x00" * (63 - (len(__lowerCamelCase			) + 8) % 64))
       SCREAMING_SNAKE_CASE										=   struct.pack(">Q"     , (len(__lowerCamelCase			) * 8)			)
       return data + padding + big_endian_integer





   def      _snake_case		(       self					:			int			):
       # Convert into blocks of 64 bytes
       SCREAMING_SNAKE_CASE										=   [
           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										=   list(struct.unpack(">16L"     , __lowerCamelCase			)			)
           # 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										=   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										=   (
                       self.ror(words[index - 15]     , 7			)
                       ^ self.ror(words[index - 15]     , 18			)
                       ^ (words[index - 15] >> 3)
                   )
                   SCREAMING_SNAKE_CASE										=   (
                       self.ror(words[index - 2]     , 17			)
                       ^ self.ror(words[index - 2]     , 19			)
                       ^ (words[index - 2] >> 10)
                   )

                   SCREAMING_SNAKE_CASE										=   (
                       words[index - 16] + sa + words[index - 7] + sa
                   ) % 0x100_000_000

               # Compression
               SCREAMING_SNAKE_CASE										=   self.ror(__lowerCamelCase     , 6			) ^ self.ror(__lowerCamelCase     , 11			) ^ self.ror(__lowerCamelCase     , 25			)
               SCREAMING_SNAKE_CASE										=   (e & f) ^ ((~e & 0xFF_FFF_FFF) & g)
               SCREAMING_SNAKE_CASE										=   (
                   h + sa + ch + self.round_constants[index] + words[index]
               ) % 0x100_000_000
               SCREAMING_SNAKE_CASE										=   self.ror(__lowerCamelCase     , 2			) ^ self.ror(__lowerCamelCase     , 13			) ^ self.ror(__lowerCamelCase     , 22			)
               SCREAMING_SNAKE_CASE										=   (a & b) ^ (a & c) ^ (b & c)
               SCREAMING_SNAKE_CASE										=   (sa + maj) % 0x100_000_000

               SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE							,	SCREAMING_SNAKE_CASE										=   (
                   g,
                   f,
                   e,
                   ((d + tempa) % 0x100_000_000),
                   c,
                   b,
                   a,
                   ((tempa + tempa) % 0x100_000_000),
               )

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

           # Modify final values
           SCREAMING_SNAKE_CASE										=   [
               ((element + mutated_hash_values[index]) % 0x100_000_000)
               for index, element in enumerate(self.hashes			)
           ]

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





   def      _snake_case		(       self					:			Union[str, Any]     , __lowerCamelCase					:			int     , __lowerCamelCase					:			int			):
       return 0xFF_FFF_FFF & (value << (32 - rotations)) | (value >> rotations)





class 			_SCREAMING_SNAKE_CASE (   unittest.TestCase		):







   '''simple docstring'''




   def      _snake_case		(       self					:			List[Any]			):
       import hashlib

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





def 	__a     (      ):
    import doctest

    doctest.testmod()

    SCREAMING_SNAKE_CASE										=   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										=   parser.parse_args()

    SCREAMING_SNAKE_CASE										=   args.input_string

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

    print(SHAaaa(A__       ).hash       )


if __name__ == "__main__":
    main()



"""simple docstring"""






import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		A    =							["image_processor", "tokenizer"]
		A    =							"ViTImageProcessor"
		A    =							("CLIPTokenizer", "CLIPTokenizerFast")
		def __init__( self					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__=None					,				**SCREAMING_SNAKE_CASE__   )      ->	List[str]:

					"""simple docstring"""



					_UpperCamelCase					:List[str]					     =	None
					if "feature_extractor" in kwargs:
								warnings.warn(
								    '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
								    ''' instead.'''					,				SCREAMING_SNAKE_CASE__					,				)
								_UpperCamelCase					:List[str]					     =	kwargs.pop('''feature_extractor'''   )

					_UpperCamelCase					:Optional[Any]					     =	image_processor if image_processor is not None else feature_extractor
					if image_processor is None:
								raise ValueError('''You need to specify an `image_processor`.'''   )
					if tokenizer is None:
								raise ValueError('''You need to specify a `tokenizer`.'''   )

					super().__init__(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   )
		def __call__( self					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__=None					,				SCREAMING_SNAKE_CASE__=None					,				**SCREAMING_SNAKE_CASE__   )      ->	Tuple:

					"""simple docstring"""



					if text is None and visual_prompt is None and images is None:
								raise ValueError('''You have to specify either text, visual prompt or images.'''   )

					if text is not None and visual_prompt is not None:
								raise ValueError('''You have to specify exactly one type of prompt. Either text or visual prompt.'''   )

					if text is not None:
								_UpperCamelCase					:Dict					     =	self.tokenizer(SCREAMING_SNAKE_CASE__					,				return_tensors=SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )

					if visual_prompt is not None:
								_UpperCamelCase					:Optional[Any]					     =	self.image_processor(SCREAMING_SNAKE_CASE__					,				return_tensors=SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )

					if images is not None:
								_UpperCamelCase					:Union[str, Any]					     =	self.image_processor(SCREAMING_SNAKE_CASE__					,				return_tensors=SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )

					if visual_prompt is not None and images is not None:
								_UpperCamelCase					:List[str]					     =	{
								    '''pixel_values''': image_features.pixel_values,
								    '''conditional_pixel_values''': prompt_features.pixel_values,
								}
								return encoding
					elif text is not None and images is not None:
								_UpperCamelCase					:List[Any]					     =	image_features.pixel_values
								return encoding
					elif text is not None:
								return encoding
					elif visual_prompt is not None:
								_UpperCamelCase					:Optional[Any]					     =	{
								    '''conditional_pixel_values''': prompt_features.pixel_values,
								}
								return encoding
					else:
								return BatchEncoding(data=dict(**SCREAMING_SNAKE_CASE__   )					,				tensor_type=SCREAMING_SNAKE_CASE__   )
		def   _UpperCamelCase( self					,				*SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )      ->	Any:

					"""simple docstring"""



					return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )
		def   _UpperCamelCase( self					,				*SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )      ->	Tuple:

					"""simple docstring"""



					return self.tokenizer.decode(*SCREAMING_SNAKE_CASE__					,				**SCREAMING_SNAKE_CASE__   )
		@property
		def   _UpperCamelCase( self   )      ->	Tuple:

					"""simple docstring"""



					warnings.warn(
					    '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''					,				SCREAMING_SNAKE_CASE__					,				)
					return self.image_processor_class





		@property
		def   _UpperCamelCase( self   )      ->	Union[str, Any]:

					"""simple docstring"""



					warnings.warn(
					    '''`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'''					,				SCREAMING_SNAKE_CASE__					,				)
					return self.image_processor

