



'''simple docstring'''

import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock

import torch

from ..state import AcceleratorState, PartialState
from ..utils import (
    gather,
    is_bnb_available,
    is_comet_ml_available,
    is_datasets_available,
    is_deepspeed_available,
    is_mps_available,
    is_safetensors_available,
    is_tensorboard_available,
    is_torch_version,
    is_tpu_available,
    is_transformers_available,
    is_wandb_available,
    is_xpu_available,
)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						List[str]							,		_SCREAMING_SNAKE_CASE					:						Dict=False							)      ->						List[str]:
	try:
		lowerCAmelCase   =     os.environ[key]
	except KeyError:
		# KEY isn't set, default to `default`.
		lowerCAmelCase   =     default
	else:
		# KEY is set, convert it to True or False.
		try:
			lowerCAmelCase   =     strtobool(lowerCamelCase__							)
		except ValueError:
			# More values are supported, but let's keep the message simple.
			raise ValueError(f'If set, {key} must be yes or no.'							)
	return _value


UpperCAmelCase     		=   parse_flag_from_env('RUN_SLOW', default=False)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[int]							)      ->						Dict:
	return unittest.skip("""Test was skipped"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Dict							)      ->						str:
	return unittest.skipUnless(_run_slow_tests							,		"""test is slow"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Any							)      ->						Optional[int]:
	return unittest.skipUnless(not torch.cuda.is_available()							,		"""test requires only a CPU"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						int							)      ->						Optional[int]:
	return unittest.skipUnless(torch.cuda.is_available()							,		"""test requires a GPU"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[Any]							)      ->						int:
	return unittest.skipUnless(is_xpu_available()							,		"""test requires a XPU"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						int							)      ->						Dict:
	return unittest.skipUnless(is_mps_available()							,		"""test requires a `mps` backend support in `torch`"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Union[str, Any]							)      ->						str:
	return unittest.skipUnless(
	    is_transformers_available() and is_datasets_available()							,		"""test requires the Hugging Face suite"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Dict							)      ->						Optional[int]:
	return unittest.skipUnless(is_bnb_available()							,		"""test requires the bitsandbytes library"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Any							)      ->						List[Any]:
	return unittest.skipUnless(is_tpu_available()							,		"""test requires TPU"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[Any]							)      ->						Optional[int]:
	return unittest.skipUnless(torch.cuda.device_count() == 1							,		"""test requires a GPU"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						int							)      ->						Optional[int]:
	return unittest.skipUnless(torch.xpu.device_count() == 1							,		"""test requires a XPU"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Any							)      ->						str:
	return unittest.skipUnless(torch.cuda.device_count() > 1							,		"""test requires multiple GPUs"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[int]							)      ->						Optional[int]:
	return unittest.skipUnless(torch.xpu.device_count() > 1							,		"""test requires multiple XPUs"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Dict							)      ->						Tuple:
	return unittest.skipUnless(is_safetensors_available()							,		"""test requires safetensors"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						List[str]							)      ->						List[str]:
	return unittest.skipUnless(is_deepspeed_available()							,		"""test requires DeepSpeed"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Union[str, Any]							)      ->						int:
	return unittest.skipUnless(is_torch_version(""">="""							,		"""1.12.0"""							)							,		"""test requires torch version >= 1.12.0"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						List[Any]=None							,		_SCREAMING_SNAKE_CASE					:						int=None							)      ->						Optional[Any]:
	if test_case is None:
		return partial(lowerCamelCase__							,		version=lowerCamelCase__							)
	return unittest.skipUnless(is_torch_version(""">="""							,		lowerCamelCase__							)							,		f'test requires torch version >= {version}'							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						List[str]							)      ->						Optional[int]:
	return unittest.skipUnless(is_tensorboard_available()							,		"""test requires Tensorboard"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[Any]							)      ->						Tuple:
	return unittest.skipUnless(is_wandb_available()							,		"""test requires wandb"""							)(lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[int]							)      ->						List[str]:
	return unittest.skipUnless(is_comet_ml_available()							,		"""test requires comet_ml"""							)(lowerCamelCase__							)


UpperCAmelCase     		=   (
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						List[Any]							)      ->						Union[str, Any]:
	return unittest.skipUnless(
	    _atleast_one_tracker_available							,		"""test requires at least one tracker to be available and for `comet_ml` to not be installed"""							,		)(lowerCamelCase__							)

class __snake_case(				unittest.TestCase ):


						'''simple docstring'''



						UpperCAmelCase							:   int									=		True


						@classmethod
						def     __snake_case   ( cls				)     ->     str:
							lowerCAmelCase   =     tempfile.mkdtemp()


						@classmethod
						def     __snake_case   ( cls				)     ->     List[Any]:







							if os.path.exists(cls.tmpdir				):
								shutil.rmtree(cls.tmpdir				)




						def     __snake_case   ( self				)     ->     str:







							if self.clear_on_setup:
								for path in Path(self.tmpdir				).glob("""**/*"""				):
									if path.is_file():
										path.unlink()
									elif path.is_dir():
										shutil.rmtree(_lowerCamelCase				)







class __snake_case(				unittest.TestCase ):


						'''simple docstring'''



						def     __snake_case   ( self				)     ->     Any:
							super().tearDown()
							# Reset the state of the AcceleratorState singleton.
							AcceleratorState._reset_state()
							PartialState._reset_state()







class __snake_case(				unittest.TestCase ):


						'''simple docstring'''



						def     __snake_case   ( self     ,	A_				)     ->     Optional[int]:
							lowerCAmelCase   =     mocks if isinstance(_lowerCamelCase     ,	(tuple, list)				) else [mocks]
							for m in self.mocks:
								m.start()
								self.addCleanup(m.stop				)







def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[Any]							)      ->						Dict:
	lowerCAmelCase   =     AcceleratorState()
	lowerCAmelCase   =     tensor[None].clone().to(state.device							)
	lowerCAmelCase   =     gather(lowerCamelCase__							).cpu()
	lowerCAmelCase   =     tensor[0].cpu()
	for i in range(tensors.shape[0]							):
		if not torch.equal(tensors[i]							,		lowerCamelCase__							):
			return False
	return True

class __snake_case:


						'''simple docstring'''



						def __init__( self     ,	A_     ,	A_     ,	A_				)     ->     Any:
							lowerCAmelCase   =     returncode
							lowerCAmelCase   =     stdout
							lowerCAmelCase   =     stderr







async def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Dict							,		_SCREAMING_SNAKE_CASE					:						List[Any]							)      ->						Optional[Any]:
	while True:
		lowerCAmelCase   =     await stream.readline()
		if line:
			callback(lowerCamelCase__							)
		else:
			break






async def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						str							,		_SCREAMING_SNAKE_CASE					:						Union[str, Any]=None							,		_SCREAMING_SNAKE_CASE					:						Optional[int]=None							,		_SCREAMING_SNAKE_CASE					:						Optional[Any]=None							,		_SCREAMING_SNAKE_CASE					:						int=False							,		_SCREAMING_SNAKE_CASE					:						str=False							)      ->						_RunOutput:
	if echo:
		print("""\nRunning: """							,		""" """.join(lowerCamelCase__							)							)

	lowerCAmelCase   =     await asyncio.create_subprocess_exec(
	    cmd[0]							,		*cmd[1:]							,		stdin=lowerCamelCase__							,		stdout=asyncio.subprocess.PIPE							,		stderr=asyncio.subprocess.PIPE							,		env=lowerCamelCase__							,		)

	# note: there is a warning for a possible deadlock when using `wait` with huge amounts of data in the pipe
	# https://docs.python.org/3/library/asyncio-subprocess.html#asyncio.asyncio.subprocess.Process.wait
	#
	# If it starts hanging, will need to switch to the following code. The problem is that no data
	# will be seen until it's done and if it hangs for example there will be no debug info.
	# out, err = await p.communicate()
	# return _RunOutput(p.returncode, out, err)

	lowerCAmelCase   =     []
	lowerCAmelCase   =     []

	def tee(_SCREAMING_SNAKE_CASE					:						Optional[int]							,		_SCREAMING_SNAKE_CASE					:						Optional[Any]							,		_SCREAMING_SNAKE_CASE					:						int							,		_SCREAMING_SNAKE_CASE					:						Union[str, Any]=""							):
		lowerCAmelCase   =     line.decode("""utf-8"""							).rstrip()
		sink.append(lowerCamelCase__							)
		if not quiet:
			print(lowerCamelCase__							,		lowerCamelCase__							,		file=lowerCamelCase__							)

    # XXX: the timeout doesn't seem to make any difference here
	await asyncio.wait(
	    [
	        asyncio.create_task(_read_stream(p.stdout							,		lambda _SCREAMING_SNAKE_CASE							: tee(lowerCamelCase__							,		lowerCamelCase__							,		sys.stdout							,		label="""stdout:"""							)							)							),
	        asyncio.create_task(_read_stream(p.stderr							,		lambda _SCREAMING_SNAKE_CASE							: tee(lowerCamelCase__							,		lowerCamelCase__							,		sys.stderr							,		label="""stderr:"""							)							)							),
	    ]							,		timeout=lowerCamelCase__							,		)
	return _RunOutput(await p.wait()							,		lowerCamelCase__							,		lowerCamelCase__							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Dict							,		_SCREAMING_SNAKE_CASE					:						List[str]=None							,		_SCREAMING_SNAKE_CASE					:						Optional[int]=None							,		_SCREAMING_SNAKE_CASE					:						str=180							,		_SCREAMING_SNAKE_CASE					:						Union[str, Any]=False							,		_SCREAMING_SNAKE_CASE					:						List[str]=True							)      ->						_RunOutput:
	lowerCAmelCase   =     asyncio.get_event_loop()
	lowerCAmelCase   =     loop.run_until_complete(
	    _stream_subprocess(lowerCamelCase__							,		env=lowerCamelCase__							,		stdin=lowerCamelCase__							,		timeout=lowerCamelCase__							,		quiet=lowerCamelCase__							,		echo=lowerCamelCase__							)							)

	lowerCAmelCase   =     ''' '''.join(lowerCamelCase__							)
	if result.returncode > 0:
		lowerCAmelCase   =     '''\n'''.join(result.stderr							)
		raise RuntimeError(
		    f'\'{cmd_str}\' failed with returncode {result.returncode}\n\n'
		    f'The combined stderr from workers follows:\n{stderr}'							)

	return result

class __snake_case(				a__ ):


						'''simple docstring'''



						pass







def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						List[str]							,		_SCREAMING_SNAKE_CASE					:						Optional[Any]=False							)      ->						int:
	try:
		lowerCAmelCase   =     subprocess.check_output(lowerCamelCase__							,		stderr=subprocess.STDOUT							)
		if return_stdout:
			if hasattr(lowerCamelCase__							,		"""decode"""							):
				lowerCAmelCase   =     output.decode("""utf-8"""							)
			return output
	except subprocess.CalledProcessError as e:
		raise SubprocessCallException(
		    f'Command `{" ".join(lowerCamelCase__							)}` failed with the following error:\n\n{e.output.decode()}'							) from e




'''simple docstring'''

from __future__ import annotations

import pandas as pd






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						list[int]							,		_SCREAMING_SNAKE_CASE					:						list[int]							,		_SCREAMING_SNAKE_CASE					:						int							)      ->						list[int]:







	"""simple docstring"""
	lowerCAmelCase   =     [0] * no_of_processes
	lowerCAmelCase   =     [0] * no_of_processes
	# Copy the burst time into remaining_time[]
	for i in range(_SCREAMING_SNAKE_CASE							):
		lowerCAmelCase   =     burst_time[i]

	lowerCAmelCase   =     0
	lowerCAmelCase   =     0
	lowerCAmelCase   =     999_999_999
	lowerCAmelCase   =     0
	lowerCAmelCase   =     False

	# Process until all processes are completed
	while complete != no_of_processes:
		for j in range(_SCREAMING_SNAKE_CASE							):
			if arrival_time[j] <= increment_time and remaining_time[j] > 0:
				if remaining_time[j] < minm:
					lowerCAmelCase   =     remaining_time[j]
					lowerCAmelCase   =     j
					lowerCAmelCase   =     True

		if not check:
			increment_time += 1
			continue
		remaining_time[short] -= 1

		lowerCAmelCase   =     remaining_time[short]
		if minm == 0:
			lowerCAmelCase   =     999_999_999

		if remaining_time[short] == 0:
			complete += 1
			lowerCAmelCase   =     False

			# Find finish time of current process
			lowerCAmelCase   =     increment_time + 1

			# Calculate waiting time
			lowerCAmelCase   =     finish_time - arrival_time[short]
			lowerCAmelCase   =     finar - burst_time[short]

			if waiting_time[short] < 0:
				lowerCAmelCase   =     0

        # Increment time
		increment_time += 1
	return waiting_time






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						list[int]							,		_SCREAMING_SNAKE_CASE					:						int							,		_SCREAMING_SNAKE_CASE					:						list[int]							)      ->						list[int]:







	"""simple docstring"""
	lowerCAmelCase   =     [0] * no_of_processes
	for i in range(_SCREAMING_SNAKE_CASE							):
		lowerCAmelCase   =     burst_time[i] + waiting_time[i]
	return turn_around_time






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						list[int]							,		_SCREAMING_SNAKE_CASE					:						list[int]							,		_SCREAMING_SNAKE_CASE					:						int							)      ->						None:







	"""simple docstring"""
	lowerCAmelCase   =     0
	lowerCAmelCase   =     0
	for i in range(_SCREAMING_SNAKE_CASE							):
		lowerCAmelCase   =     total_waiting_time + waiting_time[i]
		lowerCAmelCase   =     total_turn_around_time + turn_around_time[i]
	print(f'Average waiting time = {total_waiting_time / no_of_processes:.5f}'							)
	print("""Average turn around time ="""							,		total_turn_around_time / no_of_processes							)


if __name__ == "__main__":
				print('Enter how many process you want to analyze')
				UpperCAmelCase     		=   int(input())
				UpperCAmelCase     		=   [0] * no_of_processes
				UpperCAmelCase     		=   [0] * no_of_processes
				UpperCAmelCase     		=   list(range(1, no_of_processes + 1))

				for i in range(no_of_processes):
								print('Enter the arrival time and burst time for process:--' + str(i + 1))
								UpperCAmelCase		,       UpperCAmelCase     		=   map(int, input().split())

				UpperCAmelCase     		=   calculate_waitingtime(arrival_time, burst_time, no_of_processes)

				UpperCAmelCase     		=   burst_time
				UpperCAmelCase     		=   no_of_processes
				UpperCAmelCase     		=   waiting_time
				UpperCAmelCase     		=   calculate_turnaroundtime(bt, n, wt)

				calculate_average_times(waiting_time, turn_around_time, no_of_processes)

				UpperCAmelCase     		=   pd.DataFrame(
				    list(zip(processes, burst_time, arrival_time, waiting_time, turn_around_time)),
				    columns=[
				        'Process',
				        'BurstTime',
				        'ArrivalTime',
				        'WaitingTime',
				        'TurnAroundTime',
				    ],
				)

				# Printing the dataFrame
				pd.set_option('display.max_rows', fcfs.shape[0] + 1)
				print(fcfs)