





from collections import deque

class 		snake_case_   :







	'''simple docstring'''




	def __init__(						self							:     str					,      __lowerCamelCase							:     Dict					,      __lowerCamelCase							:     Optional[Any]					,      __lowerCamelCase							:     int   )       -> List[Any]:

			'''simple docstring'''




			__lowercase											=     process_name  # process name
			__lowercase											=     arrival_time  # arrival time of the process
			# completion time of finished process or last interrupted time
			__lowercase											=     arrival_time
			__lowercase											=     burst_time  # remaining burst time
			__lowercase											=     0  # total time of the process wait in ready queue
			__lowercase											=     0  # time from arrival time to completion time





class 		snake_case_   :







	'''simple docstring'''




	def __init__(						self							:     List[Any]					,      __lowerCamelCase							:     int					,      __lowerCamelCase							:     List[str]					,      __lowerCamelCase							:     Dict					,      __lowerCamelCase							:     Tuple					,      )       -> Optional[int]:

			'''simple docstring'''




			__lowercase											=     number_of_queues
			# time slice of queues that round robin algorithm applied
			__lowercase											=     time_slices
			# unfinished process is in this ready_queue
			__lowercase											=     queue
			# current time
			__lowercase											=     current_time
			# finished process is in this sequence queue
			__lowercase											=     deque()




	def    UpperCAmelCase			(						self							:     str   )       -> str:

			'''simple docstring'''




			__lowercase											=     []
			for i in range(len(self.finish_queue   )   ):
					sequence.append(self.finish_queue[i].process_name   )
			return sequence




	def    UpperCAmelCase			(						self							:     List[str]					,      __lowerCamelCase							:     Union[str, Any]   )       -> Union[str, Any]:

			'''simple docstring'''




			__lowercase											=     []
			for i in range(len(_SCREAMING_SNAKE_CASE   )   ):
					waiting_times.append(queue[i].waiting_time   )
			return waiting_times




	def    UpperCAmelCase			(						self							:     List[str]					,      __lowerCamelCase							:     Union[str, Any]   )       -> int:

			'''simple docstring'''




			__lowercase											=     []
			for i in range(len(_SCREAMING_SNAKE_CASE   )   ):
					turnaround_times.append(queue[i].turnaround_time   )
			return turnaround_times




	def    UpperCAmelCase			(						self							:     Optional[Any]					,      __lowerCamelCase							:     List[str]   )       -> List[str]:

			'''simple docstring'''




			__lowercase											=     []
			for i in range(len(_SCREAMING_SNAKE_CASE   )   ):
					completion_times.append(queue[i].stop_time   )
			return completion_times




	def    UpperCAmelCase			(						self							:     List[Any]					,      __lowerCamelCase							:     Any   )       -> Any:

			'''simple docstring'''




			return [q.burst_time for q in queue]




	def    UpperCAmelCase			(						self							:     Tuple					,      __lowerCamelCase							:     List[Any]   )       -> List[str]:

			'''simple docstring'''




			process.waiting_time += self.current_time - process.stop_time
			return process.waiting_time




	def    UpperCAmelCase			(						self							:     Optional[int]					,      __lowerCamelCase							:     Any   )       -> Any:

			'''simple docstring'''




			__lowercase											=     deque()  # sequence deque of finished process
			while len(_SCREAMING_SNAKE_CASE   ) != 0:
					__lowercase											=     ready_queue.popleft()  # current process

					# if process's arrival time is later than current time, update current time
					if self.current_time < cp.arrival_time:
							self.current_time += cp.arrival_time

					# update waiting time of current process
					self.update_waiting_time(_SCREAMING_SNAKE_CASE   )
					# update current time
					self.current_time += cp.burst_time
					# finish the process and set the process's burst-time 0
					__lowercase											=     0
					# set the process's turnaround time because it is finished
					__lowercase											=     self.current_time - cp.arrival_time
					# set the completion time
					__lowercase											=     self.current_time
					# add the process to queue that has finished queue
					finished.append(_SCREAMING_SNAKE_CASE   )

			self.finish_queue.extend(_SCREAMING_SNAKE_CASE   )  # add finished process to finish queue
			# FCFS will finish all remaining processes
			return finished




	def    UpperCAmelCase			(						self							:     int					,      __lowerCamelCase							:     Tuple					,      __lowerCamelCase							:     Dict   )       -> str:

			'''simple docstring'''




			__lowercase											=     deque()  # sequence deque of terminated process
			# just for 1 cycle and unfinished processes will go back to queue
			for _ in range(len(_SCREAMING_SNAKE_CASE   )   ):
					__lowercase											=     ready_queue.popleft()  # current process

					# if process's arrival time is later than current time, update current time
					if self.current_time < cp.arrival_time:
							self.current_time += cp.arrival_time

					# update waiting time of unfinished processes
					self.update_waiting_time(_SCREAMING_SNAKE_CASE   )
					# if the burst time of process is bigger than time-slice
					if cp.burst_time > time_slice:
							# use CPU for only time-slice
							self.current_time += time_slice
							# update remaining burst time
							cp.burst_time -= time_slice
							# update end point time
							__lowercase											=     self.current_time
							# locate the process behind the queue because it is not finished
							ready_queue.append(_SCREAMING_SNAKE_CASE   )
					else:
							# use CPU for remaining burst time
							self.current_time += cp.burst_time
							# set burst time 0 because the process is finished
							__lowercase											=     0
							# set the finish time
							__lowercase											=     self.current_time
							# update the process' turnaround time because it is finished
							__lowercase											=     self.current_time - cp.arrival_time
							# add the process to queue that has finished queue
							finished.append(_SCREAMING_SNAKE_CASE   )

			self.finish_queue.extend(_SCREAMING_SNAKE_CASE   )  # add finished process to finish queue
			# return finished processes queue and remaining processes queue
			return finished, ready_queue






	def    UpperCAmelCase			(						self							:     List[str]   )       -> Union[str, Any]:

			'''simple docstring'''




			for i in range(self.number_of_queues - 1   ):
					__lowercase						,      __lowercase											=     self.round_robin(
					    self.ready_queue					,      self.time_slices[i]   )
			#  the last queue has first_come_first_served algorithm
			self.first_come_first_served(self.ready_queue   )

			return self.finish_queue


if __name__ == "__main__":
		import doctest

		SCREAMING_SNAKE_CASE_   :      Dict			=   Process('''P1''', 0, 53)
		SCREAMING_SNAKE_CASE_   :      str			=   Process('''P2''', 0, 17)
		SCREAMING_SNAKE_CASE_   :      Any			=   Process('''P3''', 0, 68)
		SCREAMING_SNAKE_CASE_   :      Optional[Any]			=   Process('''P4''', 0, 24)
		SCREAMING_SNAKE_CASE_   :      Union[str, Any]			=   3
		SCREAMING_SNAKE_CASE_   :      int			=   [17, 25]
		SCREAMING_SNAKE_CASE_   :      int			=   deque([Pa, Pa, Pa, Pa])

		if len(time_slices) != number_of_queues - 1:
				raise SystemExit(0)

		doctest.testmod(extraglobs={'''queue''': deque([Pa, Pa, Pa, Pa])})

		SCREAMING_SNAKE_CASE_   :      int			=   Process('''P1''', 0, 53)
		SCREAMING_SNAKE_CASE_   :      int			=   Process('''P2''', 0, 17)
		SCREAMING_SNAKE_CASE_   :      str			=   Process('''P3''', 0, 68)
		SCREAMING_SNAKE_CASE_   :      str			=   Process('''P4''', 0, 24)
		SCREAMING_SNAKE_CASE_   :      List[Any]			=   3
		SCREAMING_SNAKE_CASE_   :      Optional[Any]			=   [17, 25]
		SCREAMING_SNAKE_CASE_   :      Optional[Any]			=   deque([Pa, Pa, Pa, Pa])
		SCREAMING_SNAKE_CASE_   :      int			=   MLFQ(number_of_queues, time_slices, queue, 0)
		SCREAMING_SNAKE_CASE_   :      str			=   mlfq.multi_level_feedback_queue()

		# print total waiting times of processes(P1, P2, P3, P4)
		print(
		    F"""waiting time:\
        \t\t\t{MLFQ.calculate_waiting_time(mlfq, [Pa, Pa, Pa, Pa])}"""
		)
		# print completion times of processes(P1, P2, P3, P4)
		print(
		    F"""completion time:\
        \t\t{MLFQ.calculate_completion_time(mlfq, [Pa, Pa, Pa, Pa])}"""
		)
		# print total turnaround times of processes(P1, P2, P3, P4)
		print(
		    F"""turnaround time:\
        \t\t{MLFQ.calculate_turnaround_time(mlfq, [Pa, Pa, Pa, Pa])}"""
		)
		# print sequence of finished processes
		print(
		    F"""sequence of finished processes:\
        {mlfq.calculate_sequence_of_finish_queue()}"""
		)







'''simple docstring'''



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


_UpperCamelCase						:  Optional[int]							       =				logging.get_logger(__name__)

_UpperCamelCase						:  Tuple							       =				{
    "google/canine-s": "https://huggingface.co/google/canine-s/resolve/main/config.json",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}



class 				_snake_case					(   a_			):
  SCREAMING_SNAKE_CASE			:       List[Any]				=     '''canine'''

  def __init__(				self      , _SCREAMING_SNAKE_CASE=7_68      , _SCREAMING_SNAKE_CASE=12      , _SCREAMING_SNAKE_CASE=12      , _SCREAMING_SNAKE_CASE=30_72      , _SCREAMING_SNAKE_CASE="gelu"      , _SCREAMING_SNAKE_CASE=0.1      , _SCREAMING_SNAKE_CASE=0.1      , _SCREAMING_SNAKE_CASE=1_63_84      , _SCREAMING_SNAKE_CASE=16      , _SCREAMING_SNAKE_CASE=0.02      , _SCREAMING_SNAKE_CASE=1e-12      , _SCREAMING_SNAKE_CASE=0      , _SCREAMING_SNAKE_CASE=0Xe0_00      , _SCREAMING_SNAKE_CASE=0Xe0_01      , _SCREAMING_SNAKE_CASE=4      , _SCREAMING_SNAKE_CASE=4      , _SCREAMING_SNAKE_CASE=8      , _SCREAMING_SNAKE_CASE=1_63_84      , _SCREAMING_SNAKE_CASE=1_28      , **_SCREAMING_SNAKE_CASE      , ):





      '''simple docstring'''

      super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE      , bos_token_id=_SCREAMING_SNAKE_CASE      , eos_token_id=_SCREAMING_SNAKE_CASE      , **_SCREAMING_SNAKE_CASE	)

      lowerCAmelCase 						=							max_position_embeddings
      lowerCAmelCase 						=							hidden_size
      lowerCAmelCase 						=							num_hidden_layers
      lowerCAmelCase 						=							num_attention_heads
      lowerCAmelCase 						=							intermediate_size
      lowerCAmelCase 						=							hidden_act
      lowerCAmelCase 						=							hidden_dropout_prob
      lowerCAmelCase 						=							attention_probs_dropout_prob
      lowerCAmelCase 						=							initializer_range
      lowerCAmelCase 						=							type_vocab_size
      lowerCAmelCase 						=							layer_norm_eps

      # Character config:
      lowerCAmelCase 						=							downsampling_rate
      lowerCAmelCase 						=							upsampling_kernel_size
      lowerCAmelCase 						=							num_hash_functions
      lowerCAmelCase 						=							num_hash_buckets
      lowerCAmelCase 						=							local_transformer_stride





