


'''simple docstring'''

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_  :    Dict      =			{
    """mnaylor/mega-base-wikitext""": """https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json""",
}





class 					snake_case   (   lowercase      ):





  """simple docstring"""




  _lowerCamelCase		   =  "mega"






  def __init__(   self      ,  UpperCamelCase=3_0522      ,  UpperCamelCase=128      ,  UpperCamelCase=4      ,  UpperCamelCase=256      ,  UpperCamelCase=16      ,  UpperCamelCase=True      ,  UpperCamelCase=64      ,  UpperCamelCase=False      ,  UpperCamelCase=-1      ,  UpperCamelCase=None      ,  UpperCamelCase=True      ,  UpperCamelCase="scalenorm"      ,  UpperCamelCase=True      ,  UpperCamelCase="silu"      ,  UpperCamelCase="softmax"      ,  UpperCamelCase=0.1      ,  UpperCamelCase=0.1      ,  UpperCamelCase=0.1      ,  UpperCamelCase=False      ,  UpperCamelCase=True      ,  UpperCamelCase=256      ,  UpperCamelCase=True      ,  UpperCamelCase=0.1      ,  UpperCamelCase=2048      ,  UpperCamelCase=False      ,  UpperCamelCase=2      ,  UpperCamelCase=0.02      ,  UpperCamelCase=0.2      ,  UpperCamelCase=0.02      ,  UpperCamelCase=1.0      ,  UpperCamelCase=1      ,  UpperCamelCase=0      ,  UpperCamelCase=2      ,  UpperCamelCase="rotary"      ,  UpperCamelCase=None      ,  UpperCamelCase=True      ,  UpperCamelCase=True      ,  **UpperCamelCase      ,  ):







   """simple docstring"""
   super().__init__(pad_token_id=UpperCamelCase      ,  bos_token_id=UpperCamelCase      ,  eos_token_id=UpperCamelCase      ,  **UpperCamelCase					)

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





class 					snake_case   (   lowercase      ):





  """simple docstring"""




  @property
  def   snake_case		(   self					):







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







'''simple docstring'''

def __snake_case (				UpperCAmelCase_						:						float		):
 return -num if num < 0 else num





def __snake_case (				UpperCAmelCase_						:						list[int]		):
 if len(UpperCAmelCase_		) == 0:
  raise ValueError("abs_min() arg is an empty sequence"		)
 lowerCamelCase_								=  x[0]
 for i in x:
  if abs_val(UpperCAmelCase_		) < abs_val(UpperCAmelCase_		):
   lowerCamelCase_								=  i
 return j





def __snake_case (				UpperCAmelCase_						:						list[int]		):
 if len(UpperCAmelCase_		) == 0:
  raise ValueError("abs_max() arg is an empty sequence"		)
 lowerCamelCase_								=  x[0]
 for i in x:
  if abs(UpperCAmelCase_		) > abs(UpperCAmelCase_		):
   lowerCamelCase_								=  i
 return j





def __snake_case (				UpperCAmelCase_						:						list[int]		):
 if len(UpperCAmelCase_		) == 0:
  raise ValueError("abs_max_sort() arg is an empty sequence"		)
 return sorted(UpperCAmelCase_ ,    key=UpperCAmelCase_		)[-1]





def __snake_case (				):
 assert abs_val(0		) == 0
 assert abs_val(34		) == 34
 assert abs_val(-100000000000		) == 100000000000

 lowerCamelCase_								=  [-3, -1, 2, -11]
 assert abs_max(UpperCAmelCase_		) == -11
 assert abs_max_sort(UpperCAmelCase_		) == -11
 assert abs_min(UpperCAmelCase_		) == -1


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     test_abs_val()
     print(abs_val(-34))  # --> 34



