


"""simple docstring"""



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







class _lowerCAmelCase       :







   def __init__(			self		,			UpperCamelCase__		)			->	List[str]:

       '''simple docstring'''




       snake_case					:   Dict         =					data
       snake_case					:   Dict         =					[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 				lowerCamelCase	(			UpperCamelCase__		,			UpperCamelCase__		)			->	Dict:

       '''simple docstring'''




       return ((n << b) | (n >> (32 - b))) & 0xf_f_f_f_f_f_f_f







   def 				lowerCamelCase	(			self		)			->	List[str]:

       '''simple docstring'''




       snake_case					:   Tuple         =					b"\x80" + b"\x00" * (63 - (len(self.data		) + 8) % 64)
       snake_case					:   Union[str, Any]         =					self.data + padding + struct.pack(">Q"		,			8 * len(self.data		)		)
       return padded_data







   def 				lowerCamelCase	(			self		)			->	List[str]:

       '''simple docstring'''




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







   def 				lowerCamelCase	(			self		,			UpperCamelCase__		)			->	str:

       '''simple docstring'''




       snake_case					:   str         =					list(struct.unpack(">16L"		,			UpperCamelCase__		)		) + [0] * 64
       for i in range(16		,			80		):
           snake_case					:   str         =					self.rotate((w[i - 3] ^ w[i - 8] ^ w[i - 14] ^ w[i - 16])		,			1		)
       return w







   def 				lowerCamelCase	(			self		)			->	Optional[Any]:

       '''simple docstring'''




       snake_case					:   Any         =					self.padding()
       snake_case					:   Tuple         =					self.split_blocks()
       for block in self.blocks:
           snake_case					:   List[Any]         =					self.expand_block(UpperCamelCase__		)
           snake_case      ,snake_case      ,snake_case      ,snake_case      ,snake_case					:   Any         =					self.h
           for i in range(0		,			80		):
               if 0 <= i < 20:
                   snake_case					:   List[str]         =					(b & c) | ((~b) & d)
                   snake_case					:   List[Any]         =					0x5_a_8_2_7_9_9_9
               elif 20 <= i < 40:
                   snake_case					:   Tuple         =					b ^ c ^ d
                   snake_case					:   Optional[Any]         =					0x6_e_d_9_e_b_a_1
               elif 40 <= i < 60:
                   snake_case					:   Any         =					(b & c) | (b & d) | (c & d)
                   snake_case					:   Any         =					0x8_f_1_b_b_c_d_c
               elif 60 <= i < 80:
                   snake_case					:   Tuple         =					b ^ c ^ d
                   snake_case					:   Optional[int]         =					0xc_a_6_2_c_1_d_6
               snake_case      ,snake_case      ,snake_case      ,snake_case      ,snake_case					:   Union[str, Any]         =					(
                   self.rotate(UpperCamelCase__		,			5		) + f + e + k + expanded_block[i] & 0xf_f_f_f_f_f_f_f,
                   a,
                   self.rotate(UpperCamelCase__		,			30		),
                   c,
                   d,
               )
           snake_case					:   Optional[Any]         =					(
               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 						__lowerCAmelCase		(		)			->		Any:


    """simple docstring"""





    snake_case					:   Union[str, Any]         =					b"Test String"
    assert SHAaHash(lowercase				).final_hash() == hashlib.shaa(lowercase				).hexdigest()  # noqa: S324







def 						__lowerCAmelCase		(		)			->		str:


    """simple docstring"""





    snake_case					:   Optional[Any]         =					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					:   Dict         =					parser.parse_args()
    snake_case					:   Optional[int]         =					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					:   str         =					f.read()
    else:
        snake_case					:   Union[str, Any]         =					bytes(lowercase		,							"utf-8"				)
    print(SHAaHash(lowercase				).final_hash()				)


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

  doctest.testmod()









"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

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


__snake_case         =					logging.get_logger(__name__)

__snake_case         =					{
    """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json""",
    """google/bigbird-roberta-large""": """https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json""",
    """google/bigbird-base-trivia-itc""": """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json""",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}







class _lowerCAmelCase       (   snake_case_			):
   __UpperCAmelCase				: Optional[Any]													=						'''big_bird'''







   def __init__(			self		,			UpperCamelCase__=5_0358		,			UpperCamelCase__=768		,			UpperCamelCase__=12		,			UpperCamelCase__=12		,			UpperCamelCase__=3072		,			UpperCamelCase__="gelu_new"		,			UpperCamelCase__=0.1		,			UpperCamelCase__=0.1		,			UpperCamelCase__=4096		,			UpperCamelCase__=2		,			UpperCamelCase__=0.02		,			UpperCamelCase__=1e-12		,			UpperCamelCase__=True		,			UpperCamelCase__=0		,			UpperCamelCase__=1		,			UpperCamelCase__=2		,			UpperCamelCase__=66		,			UpperCamelCase__="block_sparse"		,			UpperCamelCase__=True		,			UpperCamelCase__=False		,			UpperCamelCase__=64		,			UpperCamelCase__=3		,			UpperCamelCase__=None		,			**UpperCamelCase__		,			)			->	Tuple:

       '''simple docstring'''




       super().__init__(
           pad_token_id=UpperCamelCase__		,			bos_token_id=UpperCamelCase__		,			eos_token_id=UpperCamelCase__		,			sep_token_id=UpperCamelCase__		,			**UpperCamelCase__		,			)

       snake_case					:   Union[str, Any]         =					vocab_size
       snake_case					:   List[Any]         =					max_position_embeddings
       snake_case					:   int         =					hidden_size
       snake_case					:   str         =					num_hidden_layers
       snake_case					:   Any         =					num_attention_heads
       snake_case					:   int         =					intermediate_size
       snake_case					:   Union[str, Any]         =					hidden_act
       snake_case					:   Optional[Any]         =					hidden_dropout_prob
       snake_case					:   List[Any]         =					attention_probs_dropout_prob
       snake_case					:   int         =					initializer_range
       snake_case					:   List[str]         =					type_vocab_size
       snake_case					:   Optional[Any]         =					layer_norm_eps
       snake_case					:   Optional[Any]         =					use_cache

       snake_case					:   List[Any]         =					rescale_embeddings
       snake_case					:   Any         =					attention_type
       snake_case					:   List[Any]         =					use_bias
       snake_case					:   int         =					block_size
       snake_case					:   int         =					num_random_blocks
       snake_case					:   Optional[int]         =					classifier_dropout







class _lowerCAmelCase       (   snake_case_			):







   @property
   def 				lowerCamelCase	(			self		)			->	Mapping[str, Mapping[int, str]]:

       '''simple docstring'''




       if self.task == "multiple-choice":
           snake_case					:   int         =					{0: "batch", 1: "choice", 2: "sequence"}
       else:
           snake_case					:   Optional[Any]         =					{0: "batch", 1: "sequence"}
       return OrderedDict(
           [
               ("input_ids", dynamic_axis),
               ("attention_mask", dynamic_axis),
           ]		)





