



'''simple docstring'''
from __future__ import annotations

from statistics import mean






def A__    (     UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase					:		List[Any] 				=   [0] * no_of_processes
						_UpperCamelCase					:		Union[str, Any] 				=   [0] * no_of_processes

						# Initialize remaining_time to waiting_time.

						for i in range(UpperCAmelCase_							):
												_UpperCamelCase					:		List[Any] 				=   burst_time[i]
						_UpperCamelCase					:		list[int] 				=   []

						_UpperCamelCase					:		List[str] 				=   0
						_UpperCamelCase					:		Optional[Any] 				=   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:
												_UpperCamelCase					:		str 				=   []
												_UpperCamelCase					:		str 				=   -1

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

												if len(UpperCAmelCase_							) > 0:
																		_UpperCamelCase					:		Optional[Any] 				=   ready_process[0]
																		for i in ready_process:
																								if remaining_time[i] < remaining_time[target_process]:
																														_UpperCamelCase					:		Optional[int] 				=   i
																		total_time += burst_time[target_process]
																		completed += 1
																		_UpperCamelCase					:		List[Any] 				=   0
																		_UpperCamelCase					:		int 				=   (
																		    total_time - arrival_time[target_process] - burst_time[target_process]
																		)
												else:
																		total_time += 1

						return waiting_time






def A__    (     UpperCAmelCase_  ,  UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase					:		Optional[int] 				=   [0] * no_of_processes
						for i in range(UpperCAmelCase_							):
												_UpperCamelCase					:		Tuple 				=   burst_time[i] + waiting_time[i]
						return turn_around_time


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

					snake_case_ :	List[Any]         =  4
					snake_case_ :	List[str]         =  [2, 5, 3, 7]
					snake_case_ :	List[Any]         =  [0, 0, 0, 0]
					snake_case_ :	Tuple         =  calculate_waitingtime(arrival_time, burst_time, no_of_processes)
					snake_case_ :	List[Any]         =  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}""")









import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin

@require_jieba
class 		SCREAMING_SNAKE_CASE__				(       _UpperCAmelCase						,      unittest.TestCase  ):
      A_						:				List[str]							=    CpmAntTokenizer
      A_						:				Optional[int]							=    False


      def    a (self       :      Optional[int]      ):





         """simple docstring"""



         super().setUp()

         __snake_case							       =   [
             '''<d>''',
             '''</d>''',
             '''<s>''',
             '''</s>''',
             '''</_>''',
             '''<unk>''',
             '''<pad>''',
             '''</n>''',
             '''我''',
             '''是''',
             '''C''',
             '''P''',
             '''M''',
             '''A''',
             '''n''',
             '''t''',
         ]
         __snake_case							       =   os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES['''vocab_file''']      )
         with open(self.vocab_file				,			'''w'''				,			encoding='''utf-8'''      ) as vocab_writer:
            vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]      )      )


      @tooslow
      def    a (self       :      Dict      ):





         """simple docstring"""



         __snake_case							       =   CpmAntTokenizer.from_pretrained('''openbmb/cpm-ant-10b'''      )
         __snake_case							       =   '''今天天气真好！'''
         __snake_case							       =   ['''今天''', '''天气''', '''真''', '''好''', '''！''']
         __snake_case							       =   tokenizer.tokenize(a__      )
         self.assertListEqual(a__				,			a__      )
         __snake_case							       =   '''今天天气真好！'''
         __snake_case							       =   [tokenizer.bos_token] + tokens

         __snake_case							       =   [6, 9802, 1_4962, 2082, 831, 244]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(a__      )				,			a__      )

         __snake_case							       =   tokenizer.decode(a__      )
         self.assertEqual(a__				,			a__      )

