
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_					     =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_					     =	{
    '''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json''',
}
class       lowerCAmelCase_		(				A__ ):



							'''simple docstring'''





							_snake_case						      =		'''mgp-str'''




							def __init__( self    ,				snake_case_=[32, 128]    ,				snake_case_=4    ,				snake_case_=3    ,				snake_case_=27    ,				snake_case_=38    ,				snake_case_=50_257    ,				snake_case_=30_522    ,				snake_case_=768    ,				snake_case_=12    ,				snake_case_=12    ,				snake_case_=4.0    ,				snake_case_=True    ,				snake_case_=False    ,				snake_case_=1e-5    ,				snake_case_=0.0    ,				snake_case_=0.0    ,				snake_case_=0.0    ,				snake_case_=False    ,				snake_case_=0.02    ,				**snake_case_    ,				)       ->  List[Any]:
													super().__init__(**snake_case_				)

													__lowerCAmelCase     =  image_size
													__lowerCAmelCase     =  patch_size
													__lowerCAmelCase     =  num_channels
													__lowerCAmelCase     =  max_token_length
													__lowerCAmelCase     =  num_character_labels
													__lowerCAmelCase     =  num_bpe_labels
													__lowerCAmelCase     =  num_wordpiece_labels
													__lowerCAmelCase     =  hidden_size
													__lowerCAmelCase     =  num_hidden_layers
													__lowerCAmelCase     =  num_attention_heads
													__lowerCAmelCase     =  mlp_ratio
													__lowerCAmelCase     =  distilled
													__lowerCAmelCase     =  layer_norm_eps
													__lowerCAmelCase     =  drop_rate
													__lowerCAmelCase     =  qkv_bias
													__lowerCAmelCase     =  attn_drop_rate
													__lowerCAmelCase     =  drop_path_rate
													__lowerCAmelCase     =  output_aa_attentions
													__lowerCAmelCase     =  initializer_range


"""simple docstring"""
from __future__ import annotations

from statistics import mean

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase ,    _lowerCAmelCase						):
						__lowerCAmelCase     =  [0] * no_of_processes
						__lowerCAmelCase     =  [0] * no_of_processes

						# Initialize remaining_time to waiting_time.

						for i in range(_lowerCAmelCase						):
												__lowerCAmelCase     =  burst_time[i]
						__lowerCAmelCase     =  []

						__lowerCAmelCase     =  0
						__lowerCAmelCase     =  0

						# When processes are not completed,
						# A process whose arrival time has passed \
						# and has remaining execution time is put into the ready_process.
						# The shortest process in the ready_process, target_process is executed.

						while completed != no_of_processes:
												__lowerCAmelCase     =  []
												__lowerCAmelCase     =  -1

												for i in range(_lowerCAmelCase						):
																		if (arrival_time[i] <= total_time) and (remaining_time[i] > 0):
																								ready_process.append(_lowerCAmelCase						)

												if len(_lowerCAmelCase						) > 0:
																		__lowerCAmelCase     =  ready_process[0]
																		for i in ready_process:
																								if remaining_time[i] < remaining_time[target_process]:
																														__lowerCAmelCase     =  i
																		total_time += burst_time[target_process]
																		completed += 1
																		__lowerCAmelCase     =  0
																		__lowerCAmelCase     =  (
																		    total_time - arrival_time[target_process] - burst_time[target_process]
																		)
												else:
																		total_time += 1

						return waiting_time

def  lowercase     (_lowerCAmelCase ,    _lowerCAmelCase ,    _lowerCAmelCase						):
						__lowerCAmelCase     =  [0] * no_of_processes
						for i in range(_lowerCAmelCase						):
												__lowerCAmelCase     =  burst_time[i] + waiting_time[i]
						return turn_around_time


if __name__ == "__main__":
			print('''[TEST CASE 01]''')

			SCREAMING_SNAKE_CASE_					     =	4
			SCREAMING_SNAKE_CASE_					     =	[2, 5, 3, 7]
			SCREAMING_SNAKE_CASE_					     =	[0, 0, 0, 0]
			SCREAMING_SNAKE_CASE_					     =	calculate_waitingtime(arrival_time, burst_time, no_of_processes)
			SCREAMING_SNAKE_CASE_					     =	calculate_turnaroundtime(
			    burst_time, no_of_processes, waiting_time
			)

			# Printing the Result
			print('''PID\tBurst Time\tArrival Time\tWaiting Time\tTurnaround Time''')
			for i, process_id in enumerate(list(range(1, 5))):
						print(
						    F"{process_id}\t{burst_time[i]}\t\t\t{arrival_time[i]}\t\t\t\t"
						    F"{waiting_time[i]}\t\t\t\t{turn_around_time[i]}"
						)
			print(F"\nAverage waiting time = {mean(waiting_time):.5f}")
			print(F"Average turnaround time = {mean(turn_around_time):.5f}")
