from collections import OrderedDict
from typing import Mapping

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


_SCREAMING_SNAKE_CASE:						List[str]    	=       logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE:						Dict    	=       {
    '''google/mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json'''
}

class 	_SCREAMING_SNAKE_CASE							(     _lowercase							):






		"""simple docstring"""







		A_						 =      MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
		A_						 =      '''mobilebert'''



		def __init__(			self    :				int  ,					__SCREAMING_SNAKE_CASE    :				List[Any]=30_522  ,					__SCREAMING_SNAKE_CASE    :				Optional[int]=512  ,					__SCREAMING_SNAKE_CASE    :				Union[str, Any]=24  ,					__SCREAMING_SNAKE_CASE    :				Dict=4  ,					__SCREAMING_SNAKE_CASE    :				Tuple=512  ,					__SCREAMING_SNAKE_CASE    :				Optional[Any]="relu"  ,					__SCREAMING_SNAKE_CASE    :				int=0.0  ,					__SCREAMING_SNAKE_CASE    :				Tuple=0.1  ,					__SCREAMING_SNAKE_CASE    :				str=512  ,					__SCREAMING_SNAKE_CASE    :				Union[str, Any]=2  ,					__SCREAMING_SNAKE_CASE    :				Any=0.0_2  ,					__SCREAMING_SNAKE_CASE    :				Optional[Any]=1e-12  ,					__SCREAMING_SNAKE_CASE    :				Optional[int]=0  ,					__SCREAMING_SNAKE_CASE    :				Optional[int]=128  ,					__SCREAMING_SNAKE_CASE    :				Optional[int]=True  ,					__SCREAMING_SNAKE_CASE    :				List[Any]=True  ,					__SCREAMING_SNAKE_CASE    :				str=128  ,					__SCREAMING_SNAKE_CASE    :				Tuple=False  ,					__SCREAMING_SNAKE_CASE    :				str=True  ,					__SCREAMING_SNAKE_CASE    :				List[str]=4  ,					__SCREAMING_SNAKE_CASE    :				List[str]="no_norm"  ,					__SCREAMING_SNAKE_CASE    :				Tuple=True  ,					__SCREAMING_SNAKE_CASE    :				Optional[Any]=None  ,					**__SCREAMING_SNAKE_CASE    :				Optional[int]  ,					):






					"""simple docstring"""
					super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE  ,					**__SCREAMING_SNAKE_CASE   )

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

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

					_snake_case              =      classifier_dropout

class 	_SCREAMING_SNAKE_CASE							(     _lowercase							):






		"""simple docstring"""







		@property
		def 				_a				(			self    :				List[Any]   ):






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


from math import gcd






def    UpperCAmelCase__(						lowerCamelCase_ = 12000  ):



			"""simple docstring"""





			_snake_case              =      0
			for d in range(max_d + 1  ):
						for n in range(d // 3 + 1							,	(d + 1) // 2  ):
									if gcd(lowerCamelCase_							,	lowerCamelCase_  ) == 1:
												fractions_number += 1
			return fractions_number


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

