
"""simple docstring"""
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import sys

import transformers


SCREAMING_SNAKE_CASE_					     =	'''3'''

print('''Python version:''', sys.version)
print('''transformers version:''', transformers.__version__)

try:
			import torch

			print('''Torch version:''', torch.__version__)
			print('''Cuda available:''', torch.cuda.is_available())
			print('''Cuda version:''', torch.version.cuda)
			print('''CuDNN version:''', torch.backends.cudnn.version())
			print('''Number of GPUs available:''', torch.cuda.device_count())
			print('''NCCL version:''', torch.cuda.nccl.version())
except ImportError:
			print('''Torch version:''', None)

try:
			import deepspeed

			print('''DeepSpeed version:''', deepspeed.__version__)
except ImportError:
			print('''DeepSpeed version:''', None)

try:
			import tensorflow as tf

			print('''TensorFlow version:''', tf.__version__)
			print('''TF GPUs available:''', bool(tf.config.list_physical_devices('''GPU''')))
			print('''Number of TF GPUs available:''', len(tf.config.list_physical_devices('''GPU''')))
except ImportError:
			print('''TensorFlow version:''', None)


"""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}")
