

from collections import OrderedDict
from typing import Mapping

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


A_:      Optional[Any]        =			logging.get_logger(__name__)

A_:      Optional[int]        =			{
    'google/mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json'
}


class _lowercase					(       _UpperCAmelCase						):





							"""simple docstring"""




							lowerCAmelCase__       =					MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
							lowerCAmelCase__       =					'mobilebert'



							def __init__(    self     ,   UpperCAmelCase=30522     ,   UpperCAmelCase=512     ,   UpperCAmelCase=24     ,   UpperCAmelCase=4     ,   UpperCAmelCase=512     ,   UpperCAmelCase="relu"     ,   UpperCAmelCase=0.0     ,   UpperCAmelCase=0.1     ,   UpperCAmelCase=512     ,   UpperCAmelCase=2     ,   UpperCAmelCase=0.02     ,   UpperCAmelCase=1e-12     ,   UpperCAmelCase=0     ,   UpperCAmelCase=128     ,   UpperCAmelCase=True     ,   UpperCAmelCase=True     ,   UpperCAmelCase=128     ,   UpperCAmelCase=False     ,   UpperCAmelCase=True     ,   UpperCAmelCase=4     ,   UpperCAmelCase="no_norm"     ,   UpperCAmelCase=True     ,   UpperCAmelCase=None     ,   **UpperCAmelCase     ,   ):







														'''simple docstring'''






														super().__init__(pad_token_id=UpperCAmelCase     ,   **UpperCAmelCase  )

														_lowercase				=	vocab_size
														_lowercase				=	hidden_size
														_lowercase				=	num_hidden_layers
														_lowercase				=	num_attention_heads
														_lowercase				=	hidden_act
														_lowercase				=	intermediate_size
														_lowercase				=	hidden_dropout_prob
														_lowercase				=	attention_probs_dropout_prob
														_lowercase				=	max_position_embeddings
														_lowercase				=	type_vocab_size
														_lowercase				=	initializer_range
														_lowercase				=	layer_norm_eps
														_lowercase				=	embedding_size
														_lowercase				=	trigram_input
														_lowercase				=	use_bottleneck
														_lowercase				=	intra_bottleneck_size
														_lowercase				=	use_bottleneck_attention
														_lowercase				=	key_query_shared_bottleneck
														_lowercase				=	num_feedforward_networks
														_lowercase				=	normalization_type
														_lowercase				=	classifier_activation

														if self.use_bottleneck:
																					_lowercase				=	intra_bottleneck_size
														else:
																					_lowercase				=	hidden_size

														_lowercase				=	classifier_dropout






class _lowercase					(       _UpperCAmelCase						):





							"""simple docstring"""




							@property
							def     _UpperCAmelCase       (    self  ):







														'''simple docstring'''






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



def 					__lowerCAmelCase			(  _A = 998_001					):



							"""simple docstring"""


							_lowercase				=	0
							for i in range(999 ,99 ,-1					):  # 3 digit numbers range from 999 down to 100
														for j in range(999 ,99 ,-1					):
																					_lowercase				=	str(i * j					)
																					if product_string == product_string[::-1] and i * j < n:
																												_lowercase				=	max(_A ,i * j					)
							return answer


if __name__ == "__main__":
				print(F'''{solution() = }''')


