

"""simple docstring"""





import argparse
import struct
import unittest




class 					_lowerCAmelCase  :







 """simple docstring"""







 def __init__(			self							:			List[Any],					UpperCAmelCase__							:			List[Any]	):
    __lowercase								=						data

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

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


 @staticmethod
 def 					_lowercase (			UpperCAmelCase__							:			Any	):
    __lowercase								=						b'''\x80''' + (b'''\x00''' * (6_3 - (len(_a	) + 8) % 6_4))
    __lowercase								=						struct.pack(">Q",					(len(_a	) * 8)	)
    return data + padding + big_endian_integer


 def 					_lowercase (			self							:			Dict	):
    # Convert into blocks of 64 bytes
    __lowercase								=						[
        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
       __lowercase								=						list(struct.unpack(">16L",					_a	)	)
       # add 48 0-ed integers
       words += [0] * 4_8

       __lowercase								=						self.hashes

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

             __lowercase								=						(
                 words[index - 1_6] + sa + words[index - 7] + sa
             ) % 0X100_000_000

          # Compression
          __lowercase								=						self.ror(_a,					6	) ^ self.ror(_a,					1_1	) ^ self.ror(_a,					2_5	)
          __lowercase								=						(e & f) ^ ((~e & 0XFF_FFF_FFF) & g)
          __lowercase								=						(
              h + sa + ch + self.round_constants[index] + words[index]
          ) % 0X100_000_000
          __lowercase								=						self.ror(_a,					2	) ^ self.ror(_a,					1_3	) ^ self.ror(_a,					2_2	)
          __lowercase								=						(a & b) ^ (a & c) ^ (b & c)
          __lowercase								=						(sa + maj) % 0X100_000_000

          __lowercase								=						(
              g,
              f,
              e,
              ((d + tempa) % 0X100_000_000),
              c,
              b,
              a,
              ((tempa + tempa) % 0X100_000_000),
          )

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

       # Modify final values
       __lowercase								=						[
           ((element + mutated_hash_values[index]) % 0X100_000_000)
           for index, element in enumerate(self.hashes	)
       ]

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



 def 					_lowercase (			self							:			Any,					UpperCAmelCase__							:			Optional[Any],					UpperCAmelCase__							:			Union[str, Any]	):
    return 0XFF_FFF_FFF & (value << (3_2 - rotations)) | (value >> rotations)







class 					_lowerCAmelCase  (	unittest.TestCase   ):







 """simple docstring"""







 def 					_lowercase (			self							:			str	):
    import hashlib

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







def   _A  (  )	->						None:
   '''simple docstring'''


   import doctest

   doctest.testmod()

   __lowercase								=						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")

   __lowercase								=						parser.parse_args()

   __lowercase								=						args.input_string

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

   print(SHAaaa(__a).hash)


if __name__ == "__main__":
   main()







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a__				=		logging.get_logger(__name__)

a__				=		{
    '''junnyu/roformer_chinese_small''': '''https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/config.json''',
    '''junnyu/roformer_chinese_base''': '''https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/config.json''',
    '''junnyu/roformer_chinese_char_small''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/config.json'''
    ),
    '''junnyu/roformer_chinese_char_base''': (
        '''https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_discriminator''': (
        '''https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/config.json'''
    ),
    '''junnyu/roformer_small_generator''': (
        '''https://huggingface.co/junnyu/roformer_small_generator/resolve/main/config.json'''
    ),
    # See all RoFormer models at https://huggingface.co/models?filter=roformer
}

class 				UpperCAmelCase_		(			__lowercase   ):
							"""simple docstring"""







							UpperCAmelCase__       :						Optional[Any]	    =    "roformer"


							def __init__(			self       ,							_a=5_0_0_0_0       ,							_a=None       ,							_a=7_6_8       ,							_a=1_2       ,							_a=1_2       ,							_a=3_0_7_2       ,							_a="gelu"       ,							_a=0.1       ,							_a=0.1       ,							_a=1_5_3_6       ,							_a=2       ,							_a=0.02       ,							_a=1e-1_2       ,							_a=0       ,							_a=False       ,							_a=True       ,							**_a       ,							)    ->    List[str]:
												super().__init__(pad_token_id=_a       ,							**_a       )

												_a	:    Tuple         =		vocab_size
												_a	:    List[Any]         =		hidden_size if embedding_size is None else embedding_size
												_a	:    Any         =		hidden_size
												_a	:    Any         =		num_hidden_layers
												_a	:    List[Any]         =		num_attention_heads
												_a	:    str         =		hidden_act
												_a	:    Any         =		intermediate_size
												_a	:    Dict         =		hidden_dropout_prob
												_a	:    Optional[Any]         =		attention_probs_dropout_prob
												_a	:    str         =		max_position_embeddings
												_a	:    Dict         =		type_vocab_size
												_a	:    List[Any]         =		initializer_range
												_a	:    Dict         =		layer_norm_eps
												_a	:    Dict         =		rotary_value
												_a	:    Dict         =		use_cache



class 				UpperCAmelCase_		(			__lowercase   ):
							"""simple docstring"""







							@property
							def 				__lowercase				(			self       )    ->    Mapping[str, Mapping[int, str]]:
												if self.task == "multiple-choice":
																	_a	:    Dict         =		{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
												else:
																	_a	:    List[Any]         =		{0: '''batch''', 1: '''sequence'''}
												_a	:    Union[str, Any]         =		{0: '''batch''', 1: '''sequence'''}
												return OrderedDict(
												    [
												        ('''input_ids''', dynamic_axis),
												        ('''attention_mask''', dynamic_axis),
												        ('''token_type_ids''', dynamic_axis),
												    ]       )



