"""simple docstring"""






from statistics import mean

import numpy as np



def   a_						(					lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							0
				# Number of processes finished
				UpperCAmelCase__             =							0
				# Displays the finished process.
				# If it is 0, the performance is completed if it is 1, before the performance.
				UpperCAmelCase__             =							[0] * no_of_process
				# List to include calculation results
				UpperCAmelCase__             =							[0] * no_of_process

				# Sort by arrival time.
				UpperCAmelCase__             =							[burst_time[i] for i in np.argsort(lowerCamelCase       )]
				UpperCAmelCase__             =							[process_name[i] for i in np.argsort(lowerCamelCase       )]
				arrival_time.sort()

				while no_of_process > finished_process_count:
								UpperCAmelCase__             =							0
								while finished_process[i] == 1:
												i += 1
								if current_time < arrival_time[i]:
												UpperCAmelCase__             =							arrival_time[i]

								UpperCAmelCase__             =							0
								# Index showing the location of the process being performed
								UpperCAmelCase__             =							0
								# Saves the current response ratio.
								UpperCAmelCase__             =							0
								for i in range(0					,			lowerCamelCase       ):
												if finished_process[i] == 0 and arrival_time[i] <= current_time:
																UpperCAmelCase__             =							(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
																    i
																]
												if response_ratio < temp:
																UpperCAmelCase__             =							temp
																UpperCAmelCase__             =							i

        # Calculate the turn around time
								UpperCAmelCase__             =							current_time + burst_time[loc] - arrival_time[loc]
								current_time += burst_time[loc]
								# Indicates that the process has been performed.
								UpperCAmelCase__             =							1
								# Increase finished_process_count by 1
								finished_process_count += 1

				return turn_around_time



def   a_						(					lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase					,			lowerCamelCase       ):
				UpperCAmelCase__             =							[0] * no_of_process
				for i in range(0					,			lowerCamelCase       ):
								UpperCAmelCase__             =							turn_around_time[i] - burst_time[i]
				return waiting_time


if __name__ == "__main__":
						lowerCAmelCase__  :  Dict						     =	5
						lowerCAmelCase__  :  Optional[Any]						     =	['A', 'B', 'C', 'D', 'E']
						lowerCAmelCase__  :  Optional[int]						     =	[1, 2, 3, 4, 5]
						lowerCAmelCase__  :  List[str]						     =	[1, 2, 3, 4, 5]

						lowerCAmelCase__  :  List[str]						     =	calculate_turn_around_time(
						    process_name, arrival_time, burst_time, no_of_process
						)
						lowerCAmelCase__  :  Union[str, Any]						     =	calculate_waiting_time(
						    process_name, turn_around_time, burst_time, no_of_process
						)

						print('Process name \tArrival time \tBurst time \tTurn around time \tWaiting time')
						for i in range(0, no_of_process):
												print(
												    F"""{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t"""
												    F"""{turn_around_time[i]}\t\t\t{waiting_time[i]}"""
												)

						print(F"""average waiting time : {mean(waiting_time):.5f}""")
						print(F"""average turn around time : {mean(turn_around_time):.5f}""")




"""simple docstring"""






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


lowerCAmelCase__  :  int						     =	logging.get_logger(__name__)

lowerCAmelCase__  :  str						     =	{
    'facebook/xglm-564M': 'https://huggingface.co/facebook/xglm-564M/resolve/main/config.json',
    # See all XGLM models at https://huggingface.co/models?filter=xglm
}
class 				snake_case       ( __UpperCAmelCase				):




					"""simple docstring"""

					snake_case__				    = "xglm"
					snake_case__				    = ["past_key_values"]

					snake_case__				    = {
					    "num_attention_heads": "attention_heads",
					    "hidden_size": "d_model",
					    "num_hidden_layers": "num_layers",
					}







					def __init__(				self   :	Any    ,lowerCamelCase__   :	Any=256_008    ,lowerCamelCase__   :	Optional[Any]=2_048    ,lowerCamelCase__   :	List[str]=1_024    ,lowerCamelCase__   :	List[str]=4_096    ,lowerCamelCase__   :	Tuple=24    ,lowerCamelCase__   :	Optional[int]=16    ,lowerCamelCase__   :	int="gelu"    ,lowerCamelCase__   :	Dict=0.1    ,lowerCamelCase__   :	int=0.1    ,lowerCamelCase__   :	List[Any]=0.0    ,lowerCamelCase__   :	List[str]=0.0    ,lowerCamelCase__   :	Optional[Any]=0.0_2    ,lowerCamelCase__   :	List[str]=True    ,lowerCamelCase__   :	Optional[Any]=True    ,lowerCamelCase__   :	str=2    ,lowerCamelCase__   :	Dict=1    ,lowerCamelCase__   :	Optional[int]=0    ,lowerCamelCase__   :	Tuple=2    ,**lowerCamelCase__   :	List[Any]    ,):
									UpperCAmelCase__             =							vocab_size
									UpperCAmelCase__             =							max_position_embeddings
									UpperCAmelCase__             =							d_model
									UpperCAmelCase__             =							ffn_dim
									UpperCAmelCase__             =							num_layers
									UpperCAmelCase__             =							attention_heads
									UpperCAmelCase__             =							activation_function
									UpperCAmelCase__             =							dropout
									UpperCAmelCase__             =							attention_dropout
									UpperCAmelCase__             =							activation_dropout
									UpperCAmelCase__             =							layerdrop
									UpperCAmelCase__             =							init_std
									UpperCAmelCase__             =							scale_embedding  # scale factor will be sqrt(d_model) if True
									UpperCAmelCase__             =							use_cache

									super().__init__(
									    pad_token_id=lowerCamelCase__    ,bos_token_id=lowerCamelCase__    ,eos_token_id=lowerCamelCase__    ,decoder_start_token_id=lowerCamelCase__    ,**lowerCamelCase__    ,)



