
"""simple docstring"""
# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# 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.

import argparse
import os
import subprocess

from packaging.version import Version, parse

from accelerate.commands.config.config_args import default_config_file, load_config_from_file


SCREAMING_SNAKE_CASE_					     =	'''Run commands across TPU VMs for initial setup before running `accelerate launch`.'''

def  lowercase     (_lowerCAmelCase=None						):
						if subparsers is not None:
												__lowerCAmelCase     =  subparsers.add_parser("""tpu-config""" ,    description=_description						)
						else:
												__lowerCAmelCase     =  argparse.ArgumentParser("""Accelerate tpu-config command""" ,    description=_description						)
						# Core arguments
						__lowerCAmelCase     =  parser.add_argument_group(
						    """Config Arguments""" ,    """Arguments that can be configured through `accelerate config`."""						)
						config_args.add_argument(
						    """--config_file""" ,    type=_lowerCAmelCase ,    default=_lowerCAmelCase ,    help="""Path to the config file to use for accelerate.""" ,    )
						config_args.add_argument(
						    """--tpu_name""" ,    default=_lowerCAmelCase ,    help="""The name of the TPU to use. If not specified, will use the TPU specified in the config file.""" ,    )
						config_args.add_argument(
						    """--tpu_zone""" ,    default=_lowerCAmelCase ,    help="""The zone of the TPU to use. If not specified, will use the zone specified in the config file.""" ,    )
						__lowerCAmelCase     =  parser.add_argument_group("""TPU Arguments""" ,    """Arguments for options ran inside the TPU."""						)
						pod_args.add_argument(
						    """--use_alpha""" ,    action="""store_true""" ,    help="""Whether to use `gcloud alpha` when running the TPU training script instead of `gcloud`.""" ,    )
						pod_args.add_argument(
						    """--command_file""" ,    default=_lowerCAmelCase ,    help="""The path to the file containing the commands to run on the pod on startup.""" ,    )
						pod_args.add_argument(
						    """--command""" ,    action="""append""" ,    nargs="""+""" ,    help="""A command to run on the pod. Can be passed multiple times.""" ,    )
						pod_args.add_argument(
						    """--install_accelerate""" ,    action="""store_true""" ,    help="""Whether to install accelerate on the pod. Defaults to False.""" ,    )
						pod_args.add_argument(
						    """--accelerate_version""" ,    default="""latest""" ,    help="""The version of accelerate to install on the pod. If not specified, will use the latest pypi version. Specify 'dev' to install from GitHub.""" ,    )
						pod_args.add_argument(
						    """--debug""" ,    action="""store_true""" ,    help="""If set, will print the command that would be run instead of running it."""						)

						if subparsers is not None:
												parser.set_defaults(func=_lowerCAmelCase						)
						return parser

def  lowercase     (_lowerCAmelCase						):
						__lowerCAmelCase     =  None

						# Get the default from the config file if it exists.
						if args.config_file is not None or os.path.isfile(_lowerCAmelCase						):
												__lowerCAmelCase     =  load_config_from_file(args.config_file						)
												if not args.command_file and defaults.command_file is not None and not args.command:
																		__lowerCAmelCase     =  defaults.command_file
												if not args.command and defaults.commands is not None:
																		__lowerCAmelCase     =  defaults.commands
												if not args.tpu_name:
																		__lowerCAmelCase     =  defaults.tpu_name
												if not args.tpu_zone:
																		__lowerCAmelCase     =  defaults.tpu_zone
						if args.accelerate_version == "dev":
												__lowerCAmelCase     =  """git+https://github.com/huggingface/accelerate.git"""
						elif args.accelerate_version == "latest":
												__lowerCAmelCase     =  """accelerate -U"""
						elif isinstance(parse(args.accelerate_version						) ,    _lowerCAmelCase						):
												__lowerCAmelCase     =  f"""accelerate=={args.accelerate_version}"""

						if not args.command_file and not args.command:
												raise ValueError("""You must specify either a command file or a command to run on the pod."""						)

						if args.command_file:
												with open(args.command_file ,    """r"""						) as f:
																		__lowerCAmelCase     =  [f.read().splitlines()]

    # To turn list of lists into list of strings
						if isinstance(args.command[0] ,    _lowerCAmelCase						):
												__lowerCAmelCase     =  [line for cmd in args.command for line in cmd]
						# Default to the shared folder and install accelerate
						__lowerCAmelCase     =  ["""cd /usr/share"""]
						if args.install_accelerate:
												new_cmd += [f"""pip install {args.accelerate_version}"""]
						new_cmd += args.command
						__lowerCAmelCase     =  """; """.join(_lowerCAmelCase						)

						# Then send it to gcloud
						# Eventually try to use google-api-core to do this instead of subprocess
						__lowerCAmelCase     =  ["""gcloud"""]
						if args.use_alpha:
												cmd += ["alpha"]
						cmd += [
						    "compute",
						    "tpus",
						    "tpu-vm",
						    "ssh",
						    args.tpu_name,
						    "--zone",
						    args.tpu_zone,
						    "--command",
						    args.command,
						    "--worker",
						    "all",
						]
						if args.debug:
												print(f"""Running {" ".join(_lowerCAmelCase						)}"""						)
												return
						subprocess.run(_lowerCAmelCase						)
						print("""Successfully setup pod."""						)



def  lowercase     ():
						__lowerCAmelCase     =  tpu_command_parser()
						__lowerCAmelCase     =  parser.parse_args()

						tpu_command_launcher(_lowerCAmelCase						)


"""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}")
