






"""simple docstring"""







from __future__ import annotations

from statistics import mean





def 						lowercase__(A						)				->list[int]:




						"""simple docstring"""



						lowercase__				:      Optional[int]=       2
						lowercase__				:      Dict=       list(A						)
						lowercase__				:      Any=       [0] * len(A						)
						lowercase__				:      Optional[Any]=       0
						while True:
												lowercase__				:      str=       True
												for i, burst_time in enumerate(A						):
																		if rem_burst_times[i] > 0:
																								lowercase__				:      Union[str, Any]=       False
																								if rem_burst_times[i] > quantum:
																														t += quantum
																														rem_burst_times[i] -= quantum
																								else:
																														t += rem_burst_times[i]
																														lowercase__				:      int=       t - burst_time
																														lowercase__				:      Dict=       0
												if done is True:
																		return waiting_times





def 						lowercase__(A					,		A						)				->list[int]:




						"""simple docstring"""



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


if __name__ == "__main__":
			a :				Union[str, Any]      					=		[3, 5, 7]
			a :				Any      					=		calculate_waiting_times(burst_times)
			a :				Dict      					=		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}""")









from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase      = logging.get_logger(__name__)

__UpperCAmelCase      = {
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}



class SCREAMING_SNAKE_CASE	(  a_ ):
  """simple docstring"""






  lowerCamelCase    :			Optional[Any]						      ="nystromformer"







  def __init__(			self :    List[str]       ,							lowerCAmelCase :    List[Any]=3_00_00       ,							lowerCAmelCase :    Union[str, Any]=7_68       ,							lowerCAmelCase :    int=12       ,							lowerCAmelCase :    str=12       ,							lowerCAmelCase :    Tuple=30_72       ,							lowerCAmelCase :    Optional[Any]="gelu_new"       ,							lowerCAmelCase :    Any=0.1       ,							lowerCAmelCase :    Tuple=0.1       ,							lowerCAmelCase :    Tuple=5_10       ,							lowerCAmelCase :    int=2       ,							lowerCAmelCase :    Any=64       ,							lowerCAmelCase :    Dict=64       ,							lowerCAmelCase :    List[str]=65       ,							lowerCAmelCase :    Union[str, Any]=False       ,							lowerCAmelCase :    int=0.02       ,							lowerCAmelCase :    int=1e-5       ,							lowerCAmelCase :    Dict=1       ,							lowerCAmelCase :    str=0       ,							lowerCAmelCase :    List[Any]=2       ,							**lowerCAmelCase :    int       ,							)							->	List[Any]:






     """simple docstring"""







     __lowerCAmelCase  :			Optional[Any]					    =						vocab_size
     __lowerCAmelCase  :			Any					    =						max_position_embeddings
     __lowerCAmelCase  :			List[Any]					    =						hidden_size
     __lowerCAmelCase  :			Dict					    =						num_hidden_layers
     __lowerCAmelCase  :			Union[str, Any]					    =						num_attention_heads
     __lowerCAmelCase  :			int					    =						intermediate_size
     __lowerCAmelCase  :			str					    =						hidden_act
     __lowerCAmelCase  :			Any					    =						hidden_dropout_prob
     __lowerCAmelCase  :			str					    =						attention_probs_dropout_prob
     __lowerCAmelCase  :			List[str]					    =						initializer_range
     __lowerCAmelCase  :			List[str]					    =						type_vocab_size
     __lowerCAmelCase  :			Union[str, Any]					    =						segment_means_seq_len
     __lowerCAmelCase  :			Tuple					    =						num_landmarks
     __lowerCAmelCase  :			Dict					    =						conv_kernel_size
     __lowerCAmelCase  :			Tuple					    =						inv_coeff_init_option
     __lowerCAmelCase  :			List[Any]					    =						layer_norm_eps
     super().__init__(pad_token_id=lowerCAmelCase       ,							bos_token_id=lowerCAmelCase       ,							eos_token_id=lowerCAmelCase       ,							**lowerCAmelCase    )


