



'''simple docstring'''

import argparse
from collections import defaultdict

import yaml


UpperCAmelCase     		=   "docs/source/en/_toctree.yml"






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[Any]							)      ->						Dict:
	lowerCAmelCase   =     defaultdict(_SCREAMING_SNAKE_CASE							)
	for doc in model_doc:
		counts[doc["local"]] += 1
	lowerCAmelCase   =     [key for key, value in counts.items() if value > 1]

	lowerCAmelCase   =     []
	for duplicate_key in duplicates:
		lowerCAmelCase   =     list({doc["""title"""] for doc in model_doc if doc["""local"""] == duplicate_key}							)
		if len(_SCREAMING_SNAKE_CASE							) > 1:
			raise ValueError(
			    f'{duplicate_key} is present several times in the documentation table of content at '
			    """`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the """
			    """others."""							)
		# Only add this once
		new_doc.append({"""local""": duplicate_key, """title""": titles[0]}							)

	# Add none duplicate-keys
	new_doc.extend([doc for doc in model_doc if counts[doc["""local"""]] == 1]							)

	# Sort
	return sorted(_SCREAMING_SNAKE_CASE							,		key=lambda _SCREAMING_SNAKE_CASE							: s["title"].lower()							)






def 		_snake_case		( _SCREAMING_SNAKE_CASE					:						Optional[int]=False							)      ->						int:






	with open(_SCREAMING_SNAKE_CASE							,		encoding="""utf-8"""							) as f:
		lowerCAmelCase   =     yaml.safe_load(f.read()							)

	# Get to the API doc
	lowerCAmelCase   =     0
	while content[api_idx]["title"] != "API":
		api_idx += 1
	lowerCAmelCase   =     content[api_idx]["""sections"""]

	# Then to the model doc
	lowerCAmelCase   =     0
	while api_doc[model_idx]["title"] != "Models":
		model_idx += 1

	lowerCAmelCase   =     api_doc[model_idx]["""sections"""]

	lowerCAmelCase   =     [(idx, section) for idx, section in enumerate(_SCREAMING_SNAKE_CASE							) if """sections""" in section]
	lowerCAmelCase   =     False
	for idx, modality_doc in modalities_docs:
		lowerCAmelCase   =     modality_doc["""sections"""]
		lowerCAmelCase   =     clean_model_doc_toc(_SCREAMING_SNAKE_CASE							)

		if old_modality_doc != new_modality_doc:
			lowerCAmelCase   =     True
			if overwrite:
				lowerCAmelCase   =     new_modality_doc

	if diff:
		if overwrite:
			lowerCAmelCase   =     model_doc
			lowerCAmelCase   =     api_doc
			with open(_SCREAMING_SNAKE_CASE							,		"""w"""							,		encoding="""utf-8"""							) as f:
				f.write(yaml.dump(_SCREAMING_SNAKE_CASE							,		allow_unicode=_SCREAMING_SNAKE_CASE							)							)
		else:
			raise ValueError(
			    """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""							)


if __name__ == "__main__":
				UpperCAmelCase     		=   argparse.ArgumentParser()
				parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
				UpperCAmelCase     		=   parser.parse_args()

				check_model_doc(args.fix_and_overwrite)




'''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)