



from collections.abc import Generator
from math import sin



def 		lowerCAmelCase__    (					UpperCamelCase_				:       bytes	)->  Tuple:
    if len(snake_case_	) != 3_2:
        raise ValueError('''Input must be of length 32'''	)

    A__		 =					b''''''
    for i in [3, 2, 1, 0]:
        little_endian += string_aa[8 * i : 8 * i + 8]
    return little_endian



def 		lowerCAmelCase__    (					UpperCamelCase_				:       int	)->  Union[str, Any]:
    if i < 0:
        raise ValueError('''Input must be non-negative'''	)

    A__		 =					format(snake_case_ ,       '''08x'''	)[-8:]
    A__		 =					b''''''
    for i in [3, 2, 1, 0]:
        little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode('''utf-8'''	)
    return little_endian_hex



def 		lowerCAmelCase__    (					UpperCamelCase_				:       bytes	)->  Tuple:
    A__		 =					b''''''
    for char in message:
        bit_string += format(snake_case_ ,       '''08b'''	).encode('''utf-8'''	)
    A__		 =					format(len(snake_case_	) ,       '''064b'''	).encode('''utf-8'''	)

    # Pad bit_string to a multiple of 512 chars
    bit_string += b"1"
    while len(snake_case_	) % 5_1_2 != 4_4_8:
        bit_string += b"0"
    bit_string += to_little_endian(start_len[3_2:]	) + to_little_endian(start_len[:3_2]	)

    return bit_string



def 		lowerCAmelCase__    (					UpperCamelCase_				:       bytes	)->  Optional[Any]:
    if len(snake_case_	) % 5_1_2 != 0:
        raise ValueError('''Input must have length that\'s a multiple of 512'''	)

    for pos in range(0 ,       len(snake_case_	) ,       5_1_2	):
        A__		 =					bit_string[pos : pos + 5_1_2]
        A__		 =					[]
        for i in range(0 ,       5_1_2 ,       3_2	):
            block_words.append(int(to_little_endian(block[i : i + 3_2]	) ,       2	)	)
        yield block_words



def 		lowerCAmelCase__    (					UpperCamelCase_				:       int	)->  List[str]:
    if i < 0:
        raise ValueError('''Input must be non-negative'''	)

    A__		 =					format(snake_case_ ,       '''032b'''	)
    A__		 =					''''''
    for c in i_str:
        new_str += "1" if c == "0" else "0"
    return int(snake_case_ ,       2	)



def 		lowerCAmelCase__    (					UpperCamelCase_				:       int ,       UpperCamelCase_				:       int	)->  Optional[Any]:
    return (a + b) % 2**3_2



def 		lowerCAmelCase__    (					UpperCamelCase_				:       int ,       UpperCamelCase_				:       int	)->  Union[str, Any]:
    if i < 0:
        raise ValueError('''Input must be non-negative'''	)
    if shift < 0:
        raise ValueError('''Shift must be non-negative'''	)
    return ((i << shift) ^ (i >> (3_2 - shift))) % 2**3_2



def 		lowerCAmelCase__    (					UpperCamelCase_				:       bytes	)->  int:
    A__		 =					preprocess(snake_case_	)

    A__		 =					[int(2**3_2 * abs(sin(i + 1	)	)	) for i in range(6_4	)]

    # Starting states
    A__		 =					0X67_45_23_01
    A__		 =					0XEF_CD_AB_89
    A__		 =					0X98_BA_DC_FE
    A__		 =					0X10_32_54_76

    A__		 =					[
        7,
        1_2,
        1_7,
        2_2,
        7,
        1_2,
        1_7,
        2_2,
        7,
        1_2,
        1_7,
        2_2,
        7,
        1_2,
        1_7,
        2_2,
        5,
        9,
        1_4,
        2_0,
        5,
        9,
        1_4,
        2_0,
        5,
        9,
        1_4,
        2_0,
        5,
        9,
        1_4,
        2_0,
        4,
        1_1,
        1_6,
        2_3,
        4,
        1_1,
        1_6,
        2_3,
        4,
        1_1,
        1_6,
        2_3,
        4,
        1_1,
        1_6,
        2_3,
        6,
        1_0,
        1_5,
        2_1,
        6,
        1_0,
        1_5,
        2_1,
        6,
        1_0,
        1_5,
        2_1,
        6,
        1_0,
        1_5,
        2_1,
    ]

    # Process bit string in chunks, each with 16 32-char words
    for block_words in get_block_words(snake_case_	):
        A__		 =					aa
        A__		 =					ba
        A__		 =					ca
        A__		 =					da

        # Hash current chunk
        for i in range(6_4	):
            if i <= 1_5:
                # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                A__		 =					d ^ (b & (c ^ d))
                A__		 =					i
            elif i <= 3_1:
                # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                A__		 =					c ^ (d & (b ^ c))
                A__		 =					(5 * i + 1) % 1_6
            elif i <= 4_7:
                A__		 =					b ^ c ^ d
                A__		 =					(3 * i + 5) % 1_6
            else:
                A__		 =					c ^ (b | not_aa(snake_case_	))
                A__		 =					(7 * i) % 1_6
            A__		 =					(f + a + added_consts[i] + block_words[g]) % 2**3_2
            A__		 =					d
            A__		 =					c
            A__		 =					b
            A__		 =					sum_aa(snake_case_ ,       left_rotate_aa(snake_case_ ,       shift_amounts[i]	)	)

        # Add hashed chunk to running total
        A__		 =					sum_aa(snake_case_ ,       snake_case_	)
        A__		 =					sum_aa(snake_case_ ,       snake_case_	)
        A__		 =					sum_aa(snake_case_ ,       snake_case_	)
        A__		 =					sum_aa(snake_case_ ,       snake_case_	)

    A__		 =					reformat_hex(snake_case_	) + reformat_hex(snake_case_	) + reformat_hex(snake_case_	) + reformat_hex(snake_case_	)
    return digest


if __name__ == "__main__":
   import doctest

   doctest.testmod()





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


_lowercase						  =		{
    "albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/config.json",
    "albert-large-v1": "https://huggingface.co/albert-large-v1/resolve/main/config.json",
    "albert-xlarge-v1": "https://huggingface.co/albert-xlarge-v1/resolve/main/config.json",
    "albert-xxlarge-v1": "https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json",
    "albert-base-v2": "https://huggingface.co/albert-base-v2/resolve/main/config.json",
    "albert-large-v2": "https://huggingface.co/albert-large-v2/resolve/main/config.json",
    "albert-xlarge-v2": "https://huggingface.co/albert-xlarge-v2/resolve/main/config.json",
    "albert-xxlarge-v2": "https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json",
}



class     _UpperCAmelCase			(       A__     ):
     UpperCamelCase__		    =				'''albert'''




     def __init__(				self ,						a__=3_0_0_0_0 ,						a__=1_2_8 ,						a__=4_0_9_6 ,						a__=1_2 ,						a__=1 ,						a__=6_4 ,						a__=1_6_3_8_4 ,						a__=1 ,						a__="gelu_new" ,						a__=0 ,						a__=0 ,						a__=5_1_2 ,						a__=2 ,						a__=0.0_2 ,						a__=1e-12 ,						a__=0.1 ,						a__="absolute" ,						a__=0 ,						a__=2 ,						a__=3 ,						**a__ ,						):
         super().__init__(pad_token_id=a__ ,						bos_token_id=a__ ,						eos_token_id=a__ ,						**a__)

         A__		 =					vocab_size
         A__		 =					embedding_size
         A__		 =					hidden_size
         A__		 =					num_hidden_layers
         A__		 =					num_hidden_groups
         A__		 =					num_attention_heads
         A__		 =					inner_group_num
         A__		 =					hidden_act
         A__		 =					intermediate_size
         A__		 =					hidden_dropout_prob
         A__		 =					attention_probs_dropout_prob
         A__		 =					max_position_embeddings
         A__		 =					type_vocab_size
         A__		 =					initializer_range
         A__		 =					layer_norm_eps
         A__		 =					classifier_dropout_prob
         A__		 =					position_embedding_type







class     _UpperCAmelCase			(       A__     ):




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