





'''simple docstring'''

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


class 					a_     :

    '''simple docstring'''


    def __init__(		self ,		A       )		->   List[Any]:
        _SCREAMING_SNAKE_CASE									=			data
        _SCREAMING_SNAKE_CASE									=			[0X6745_2301, 0Xefcd_ab89, 0X98ba_dcfe, 0X1032_5476, 0Xc3d2_e1f0]


    @staticmethod
    def 			snake_case_(		A ,		A       )		->   List[str]:
        return ((n << b) | (n >> (32 - b))) & 0Xffff_ffff


    def 			snake_case_(		self       )		->   Optional[int]:
        _SCREAMING_SNAKE_CASE									=			b"""\x80""" + b"""\x00""" * (63 - (len(self.data       ) + 8) % 64)
        _SCREAMING_SNAKE_CASE									=			self.data + padding + struct.pack(""">Q""" ,		8 * len(self.data       )       )
        return padded_data


    def 			snake_case_(		self       )		->   str:
        return [
            self.padded_data[i : i + 64] for i in range(0 ,		len(self.padded_data       ) ,		64       )
        ]


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





    def 			snake_case_(		self       )		->   Any:
        _SCREAMING_SNAKE_CASE									=			self.padding()
        _SCREAMING_SNAKE_CASE									=			self.split_blocks()
        for block in self.blocks:
            _SCREAMING_SNAKE_CASE									=			self.expand_block(A       )
            _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			self.h
            for i in range(0 ,		80       ):
                if 0 <= i < 20:
                    _SCREAMING_SNAKE_CASE									=			(b & c) | ((~b) & d)
                    _SCREAMING_SNAKE_CASE									=			0X5a82_7999
                elif 20 <= i < 40:
                    _SCREAMING_SNAKE_CASE									=			b ^ c ^ d
                    _SCREAMING_SNAKE_CASE									=			0X6ed9_eba1
                elif 40 <= i < 60:
                    _SCREAMING_SNAKE_CASE									=			(b & c) | (b & d) | (c & d)
                    _SCREAMING_SNAKE_CASE									=			0X8f1b_bcdc
                elif 60 <= i < 80:
                    _SCREAMING_SNAKE_CASE									=			b ^ c ^ d
                    _SCREAMING_SNAKE_CASE									=			0Xca62_c1d6
                _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE				,       _SCREAMING_SNAKE_CASE									=			(
                    self.rotate(A ,		5       ) + f + e + k + expanded_block[i] & 0Xffff_ffff,
                    a,
                    self.rotate(A ,		30       ),
                    c,
                    d,
                )
            _SCREAMING_SNAKE_CASE									=			(
                self.h[0] + a & 0Xffff_ffff,
                self.h[1] + b & 0Xffff_ffff,
                self.h[2] + c & 0Xffff_ffff,
                self.h[3] + d & 0Xffff_ffff,
                self.h[4] + e & 0Xffff_ffff,
            )
        return ("{:08x}" * 5).format(*self.h       )





def lowerCamelCase						(     )						->Optional[Any]:
    _SCREAMING_SNAKE_CASE									=			B"""Test String"""
    assert SHAaHash(__lowerCamelCase    ).final_hash() == hashlib.shaa(__lowerCamelCase    ).hexdigest()  # noqa: S324





def lowerCamelCase						(     )						->Union[str, Any]:
    _SCREAMING_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"""    )
    _SCREAMING_SNAKE_CASE									=			parser.parse_args()
    _SCREAMING_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:
            _SCREAMING_SNAKE_CASE									=			f.read()
    else:
        _SCREAMING_SNAKE_CASE									=			bytes(__lowerCamelCase					,       """utf-8"""    )
    print(SHAaHash(__lowerCamelCase    ).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


lowercase_					= logging.get_logger(__name__)

lowercase_					= {
    """facebook/data2vec-text-base""": """https://huggingface.co/data2vec/resolve/main/config.json""",
}


class 					a_     (				snake_case_       ):

    '''simple docstring'''
    UpperCamelCase     = '''data2vec-text'''


    def __init__(		self ,		A=3_0522 ,		A=768 ,		A=12 ,		A=12 ,		A=3072 ,		A="gelu" ,		A=0.1 ,		A=0.1 ,		A=512 ,		A=2 ,		A=0.02 ,		A=1e-12 ,		A=1 ,		A=0 ,		A=2 ,		A="absolute" ,		A=True ,		A=None ,		**A ,		)		->   int:
        super().__init__(pad_token_id=A ,		bos_token_id=A ,		eos_token_id=A ,		**A       )

        _SCREAMING_SNAKE_CASE									=			vocab_size
        _SCREAMING_SNAKE_CASE									=			hidden_size
        _SCREAMING_SNAKE_CASE									=			num_hidden_layers
        _SCREAMING_SNAKE_CASE									=			num_attention_heads
        _SCREAMING_SNAKE_CASE									=			hidden_act
        _SCREAMING_SNAKE_CASE									=			intermediate_size
        _SCREAMING_SNAKE_CASE									=			hidden_dropout_prob
        _SCREAMING_SNAKE_CASE									=			attention_probs_dropout_prob
        _SCREAMING_SNAKE_CASE									=			max_position_embeddings
        _SCREAMING_SNAKE_CASE									=			type_vocab_size
        _SCREAMING_SNAKE_CASE									=			initializer_range
        _SCREAMING_SNAKE_CASE									=			layer_norm_eps
        _SCREAMING_SNAKE_CASE									=			position_embedding_type
        _SCREAMING_SNAKE_CASE									=			use_cache
        _SCREAMING_SNAKE_CASE									=			classifier_dropout




class 					a_     (				snake_case_       ):

    '''simple docstring'''


    @property
    def 			snake_case_(		self       )		->   Mapping[str, Mapping[int, str]]:
        if self.task == "multiple-choice":
            _SCREAMING_SNAKE_CASE									=			{0: """batch""", 1: """choice""", 2: """sequence"""}
        else:
            _SCREAMING_SNAKE_CASE									=			{0: """batch""", 1: """sequence"""}
        return OrderedDict(
            [
                ("""input_ids""", dynamic_axis),
                ("""attention_mask""", dynamic_axis),
            ]       )



