



from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase_									=   logging.get_logger(__name__)

UpperCamelCase_									=   {
    '''mnaylor/mega-base-wikitext''': '''https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json''',
}







class       _snake_case				(     __snake_case ):






   '''simple docstring'''






   A__      : List[str]       =						"mega"


   def __init__(    self:     List[Any]  ,lowerCamelCase_:     Union[str, Any]=30522  ,lowerCamelCase_:     Union[str, Any]=128  ,lowerCamelCase_:     Optional[int]=4  ,lowerCamelCase_:     int=256  ,lowerCamelCase_:     Optional[Any]=16  ,lowerCamelCase_:     Dict=True  ,lowerCamelCase_:     str=64  ,lowerCamelCase_:     List[str]=False  ,lowerCamelCase_:     int=-1  ,lowerCamelCase_:     Union[str, Any]=None  ,lowerCamelCase_:     Optional[int]=True  ,lowerCamelCase_:     Optional[Any]="scalenorm"  ,lowerCamelCase_:     str=True  ,lowerCamelCase_:     Union[str, Any]="silu"  ,lowerCamelCase_:     Optional[int]="softmax"  ,lowerCamelCase_:     str=0.1  ,lowerCamelCase_:     List[str]=0.1  ,lowerCamelCase_:     Any=0.1  ,lowerCamelCase_:     Dict=False  ,lowerCamelCase_:     Optional[int]=True  ,lowerCamelCase_:     List[Any]=256  ,lowerCamelCase_:     int=True  ,lowerCamelCase_:     int=0.1  ,lowerCamelCase_:     Any=2048  ,lowerCamelCase_:     List[str]=False  ,lowerCamelCase_:     Dict=2  ,lowerCamelCase_:     Union[str, Any]=0.0_2  ,lowerCamelCase_:     List[str]=0.2  ,lowerCamelCase_:     Optional[Any]=0.0_2  ,lowerCamelCase_:     str=1.0  ,lowerCamelCase_:     Optional[int]=1  ,lowerCamelCase_:     Any=0  ,lowerCamelCase_:     Dict=2  ,lowerCamelCase_:     List[str]="rotary"  ,lowerCamelCase_:     Any=None  ,lowerCamelCase_:     List[str]=True  ,lowerCamelCase_:     Tuple=True  ,**lowerCamelCase_:     int  ,)	->      List[Any]:
       super().__init__(pad_token_id=lowerCamelCase_  ,bos_token_id=lowerCamelCase_  ,eos_token_id=lowerCamelCase_  ,**lowerCamelCase_							)

       UpperCAmelCase_     :       List[Any]  		=					vocab_size
       UpperCAmelCase_     :       Any  		=					hidden_size
       UpperCAmelCase_     :       int  		=					num_hidden_layers
       UpperCAmelCase_     :       Any  		=					activation
       UpperCAmelCase_     :       Any  		=					attention_activation
       UpperCAmelCase_     :       Optional[int]  		=					intermediate_size
       UpperCAmelCase_     :       Optional[Any]  		=					ema_projection_size
       UpperCAmelCase_     :       List[Any]  		=					bidirectional
       UpperCAmelCase_     :       Union[str, Any]  		=					shared_representation_size
       UpperCAmelCase_     :       str  		=					use_chunking
       UpperCAmelCase_     :       int  		=					chunk_size
       UpperCAmelCase_     :       Dict  		=					truncation
       UpperCAmelCase_     :       Tuple  		=					normalize_before_mega
       UpperCAmelCase_     :       int  		=					normalization_type
       UpperCAmelCase_     :       Tuple  		=					norm_affine
       UpperCAmelCase_     :       Optional[Any]  		=					dropout_prob
       UpperCAmelCase_     :       int  		=					hidden_dropout_prob
       UpperCAmelCase_     :       Union[str, Any]  		=					attention_probs_dropout_prob
       UpperCAmelCase_     :       Any  		=					use_feature_dropout
       UpperCAmelCase_     :       str  		=					use_normalized_ffn
       UpperCAmelCase_     :       List[Any]  		=					nffn_hidden_size
       UpperCAmelCase_     :       int  		=					normalize_before_ffn
       UpperCAmelCase_     :       List[Any]  		=					nffn_activation_dropout_prob
       UpperCAmelCase_     :       Optional[int]  		=					max_positions
       UpperCAmelCase_     :       str  		=					add_token_type_embeddings
       UpperCAmelCase_     :       int  		=					type_vocab_size
       UpperCAmelCase_     :       int  		=					initializer_range
       UpperCAmelCase_     :       Optional[Any]  		=					ema_delta_alpha_range
       UpperCAmelCase_     :       Any  		=					ema_beta_range
       UpperCAmelCase_     :       Optional[int]  		=					ema_gamma_omega_range
       UpperCAmelCase_     :       List[Any]  		=					relative_positional_bias
       UpperCAmelCase_     :       Tuple  		=					use_cache
       UpperCAmelCase_     :       str  		=					classifier_dropout
       UpperCAmelCase_     :       Union[str, Any]  		=					add_lm_hidden_dense_layer
       UpperCAmelCase_     :       Optional[int]  		=					1  # not used but required by Hugging Face







class       _snake_case				(     __snake_case ):






   '''simple docstring'''






   @property
   def       A__    (    self:     str							)	->      Mapping[str, Mapping[int, str]]:
       if self.task == "multiple-choice":
           UpperCAmelCase_     :       Optional[int]  		=					{0: """batch""", 1: """choice""", 2: """sequence"""}
       else:
           UpperCAmelCase_     :       Union[str, Any]  		=					{0: """batch""", 1: """sequence"""}
       return OrderedDict(
           [
               ("""input_ids""", dynamic_axis),
               ("""attention_mask""", dynamic_axis),
           ]							)

from __future__ import annotations

from statistics import mean
def 					__lowercase						(    lowerCamelCase__       )					->list[int]:

  '''simple docstring'''




  a__  		=  2
  a__  		=  list(lowerCamelCase__       )
  a__  		=  [0] * len(lowerCamelCase__       )
  a__  		=  0
  while True:
    a__  		=  True
    for i, burst_time in enumerate(lowerCamelCase__       ):
      if rem_burst_times[i] > 0:
        a__  		=  False
        if rem_burst_times[i] > quantum:
          t += quantum
          rem_burst_times[i] -= quantum
        else:
          t += rem_burst_times[i]
          a__  		=  t - burst_time
          a__  		=  0
    if done is True:
      return waiting_times
def 					__lowercase						(    lowerCamelCase__			,					lowerCamelCase__       )					->list[int]:

  '''simple docstring'''




  return [burst + waiting for burst, waiting in zip(lowerCamelCase__			,					lowerCamelCase__       )]


if __name__ == "__main__":
     _SCREAMING_SNAKE_CASE     =     [3, 5, 7]
     _SCREAMING_SNAKE_CASE     =     calculate_waiting_times(burst_times)
     _SCREAMING_SNAKE_CASE     =     calculate_turn_around_times(burst_times, waiting_times)
     print("""Process ID \tBurst Time \tWaiting Time \tTurnaround Time""")
     for i, burst_time in enumerate(burst_times):
          print(
              F"""  {i + 1}\t\t  {burst_time}\t\t  {waiting_times[i]}\t\t  """
              F"""{turn_around_times[i]}"""
          )
     print(F"""\nAverage waiting time = {mean(waiting_times):.5f}""")
     print(F"""Average turn around time = {mean(turn_around_times):.5f}""")

