




"""simple docstring"""

from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase__ :    List[Any] 					=							logging.get_logger(__name__)

UpperCamelCase__ :    int 					=							{
    "mnaylor/mega-base-wikitext": "https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json",
}
class     A__      (      lowercase_     ):
 A_							:				Dict						     =      """mega"""




 def __init__(   self  :	int      ,    lowercase  :	Any=30_522      ,    lowercase  :	Tuple=128      ,    lowercase  :	Any=4      ,    lowercase  :	Dict=256      ,    lowercase  :	Dict=16      ,    lowercase  :	Union[str, Any]=True      ,    lowercase  :	Union[str, Any]=64      ,    lowercase  :	List[str]=False      ,    lowercase  :	List[Any]=-1      ,    lowercase  :	Optional[Any]=None      ,    lowercase  :	Tuple=True      ,    lowercase  :	Optional[int]="scalenorm"      ,    lowercase  :	int=True      ,    lowercase  :	int="silu"      ,    lowercase  :	Optional[int]="softmax"      ,    lowercase  :	Tuple=0.1      ,    lowercase  :	Any=0.1      ,    lowercase  :	Union[str, Any]=0.1      ,    lowercase  :	Tuple=False      ,    lowercase  :	str=True      ,    lowercase  :	Union[str, Any]=256      ,    lowercase  :	str=True      ,    lowercase  :	int=0.1      ,    lowercase  :	Dict=2_048      ,    lowercase  :	Dict=False      ,    lowercase  :	Dict=2      ,    lowercase  :	Optional[int]=0.02      ,    lowercase  :	Dict=0.2      ,    lowercase  :	Optional[int]=0.02      ,    lowercase  :	int=1.0      ,    lowercase  :	int=1      ,    lowercase  :	str=0      ,    lowercase  :	Union[str, Any]=2      ,    lowercase  :	Tuple="rotary"      ,    lowercase  :	List[str]=None      ,    lowercase  :	Union[str, Any]=True      ,    lowercase  :	int=True      ,    **lowercase  :	Optional[int]      ,    )					-> int:
      super().__init__(pad_token_id=lowercase      ,    bos_token_id=lowercase      ,    eos_token_id=lowercase      ,    **lowercase	)

      __snake_case          =	vocab_size
      __snake_case          =	hidden_size
      __snake_case          =	num_hidden_layers
      __snake_case          =	activation
      __snake_case          =	attention_activation
      __snake_case          =	intermediate_size
      __snake_case          =	ema_projection_size
      __snake_case          =	bidirectional
      __snake_case          =	shared_representation_size
      __snake_case          =	use_chunking
      __snake_case          =	chunk_size
      __snake_case          =	truncation
      __snake_case          =	normalize_before_mega
      __snake_case          =	normalization_type
      __snake_case          =	norm_affine
      __snake_case          =	dropout_prob
      __snake_case          =	hidden_dropout_prob
      __snake_case          =	attention_probs_dropout_prob
      __snake_case          =	use_feature_dropout
      __snake_case          =	use_normalized_ffn
      __snake_case          =	nffn_hidden_size
      __snake_case          =	normalize_before_ffn
      __snake_case          =	nffn_activation_dropout_prob
      __snake_case          =	max_positions
      __snake_case          =	add_token_type_embeddings
      __snake_case          =	type_vocab_size
      __snake_case          =	initializer_range
      __snake_case          =	ema_delta_alpha_range
      __snake_case          =	ema_beta_range
      __snake_case          =	ema_gamma_omega_range
      __snake_case          =	relative_positional_bias
      __snake_case          =	use_cache
      __snake_case          =	classifier_dropout
      __snake_case          =	add_lm_hidden_dense_layer
      __snake_case          =	1  # not used but required by Hugging Face

class     A__      (      lowercase_     ):




 @property
 def 							a_		(   self  :	Union[str, Any]	)					-> Mapping[str, Mapping[int, str]]:
      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),
          ]	)








"""simple docstring"""

from itertools import combinations_with_replacement




def       snake_case__	(       lowerCAmelCase   :		int = 100		):
					__snake_case          =	[*list(range(1				,					21		)		), 25]
					__snake_case          =	[2 * x for x in range(1				,					21		)] + [50]
					__snake_case          =	[3 * x for x in range(1				,					21		)]
					__snake_case          =	singles + doubles + triples + [0]

					__snake_case          =	0
					__snake_case          =	42
					__snake_case          =	42
					__snake_case          =	42
					__snake_case          =	42

					for double in doubles:
										for throwa, throwa in combinations_with_replacement(lowerCAmelCase				,					2		):
															__snake_case          =	double + throwa + throwa
															if checkout_total < limit:
																				num_checkouts += 1

					return num_checkouts


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


