






from __future__ import annotations

import pandas as pd

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  list[int]	,			__magic_name__					:  int					)		->			list[int]:






	"""simple docstring"""



	UpperCamelCase     :List[str]          =	[0] * no_of_processes
	UpperCamelCase     :str          =	[0] * no_of_processes
	# Copy the burst time into remaining_time[]
	for i in range(__magic_name__					):
		UpperCamelCase     :Optional[int]          =	burst_time[i]

	UpperCamelCase     :str          =	0
	UpperCamelCase     :Tuple          =	0
	UpperCamelCase     :Union[str, Any]          =	9_9999_9999
	UpperCamelCase     :Optional[Any]          =	0
	UpperCamelCase     :Optional[int]          =	False

	# Process until all processes are completed
	while complete != no_of_processes:
		for j in range(__magic_name__					):
			if arrival_time[j] <= increment_time and remaining_time[j] > 0:
				if remaining_time[j] < minm:
					UpperCamelCase     :Dict          =	remaining_time[j]
					UpperCamelCase     :Optional[Any]          =	j
					UpperCamelCase     :List[str]          =	True

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

		UpperCamelCase     :List[str]          =	remaining_time[short]
		if minm == 0:
			UpperCamelCase     :Any          =	9_9999_9999

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

			# Find finish time of current process
			UpperCamelCase     :Dict          =	increment_time + 1

			# Calculate waiting time
			UpperCamelCase     :Union[str, Any]          =	finish_time - arrival_time[short]
			UpperCamelCase     :Optional[Any]          =	finar - burst_time[short]

			if waiting_time[short] < 0:
				UpperCamelCase     :Optional[Any]          =	0

        # Increment time
		increment_time += 1
	return waiting_time

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  int	,			__magic_name__					:  list[int]					)		->			list[int]:






	"""simple docstring"""



	UpperCamelCase     :Optional[Any]          =	[0] * no_of_processes
	for i in range(__magic_name__					):
		UpperCamelCase     :List[str]          =	burst_time[i] + waiting_time[i]
	return turn_around_time

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[int]	,			__magic_name__					:  list[int]	,			__magic_name__					:  int					)		->			None:






	"""simple docstring"""



	UpperCamelCase     :int          =	0
	UpperCamelCase     :str          =	0
	for i in range(__magic_name__					):
		UpperCamelCase     :List[Any]          =	total_waiting_time + waiting_time[i]
		UpperCamelCase     :str          =	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_ :						Any      =      int(input())
	UpperCAmelCase_ :						Optional[int]      =      [0] * no_of_processes
	UpperCAmelCase_ :						Any      =      [0] * no_of_processes
	UpperCAmelCase_ :						Any      =      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_ :						Dict      =      map(int, input().split())

	UpperCAmelCase_ :						List[str]      =      calculate_waitingtime(arrival_time, burst_time, no_of_processes)

	UpperCAmelCase_ :						Tuple      =      burst_time
	UpperCAmelCase_ :						List[str]      =      no_of_processes
	UpperCAmelCase_ :						Union[str, Any]      =      waiting_time
	UpperCAmelCase_ :						Union[str, Any]      =      calculate_turnaroundtime(bt, n, wt)

	calculate_average_times(waiting_time, turn_around_time, no_of_processes)

	UpperCAmelCase_ :						Tuple      =      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)








# Copyright 2023 The HuggingFace Inc. 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.
from ..models.whisper import WhisperForConditionalGeneration, WhisperProcessor
from .base import PipelineTool

class     _SCREAMING_SNAKE_CASE       (			_a      ):
	snake_case__							:     Any     	=  """openai/whisper-base"""
	snake_case__							:     Optional[int]     	=  (
	    """This is a tool that transcribes an audio into text. It takes an input named `audio` and returns the """
	    """transcribed text."""
	)
	snake_case__							:     Any     	=  """transcriber"""
	snake_case__							:     Optional[int]     	=  WhisperProcessor
	snake_case__							:     str     	=  WhisperForConditionalGeneration

	snake_case__							:     Optional[Any]     	=  ["""audio"""]
	snake_case__							:     Any     	=  ["""text"""]





	def 						_A (		self				:					str ,  __lowerCamelCase				:					Dict	):
		return self.pre_processor(__lowerCamelCase ,  return_tensors="""pt"""	).input_features





	def 						_A (		self				:					Dict ,  __lowerCamelCase				:					List[Any]	):
		return self.model.generate(inputs=__lowerCamelCase	)





	def 						_A (		self				:					Any ,  __lowerCamelCase				:					Optional[Any]	):
		return self.pre_processor.batch_decode(__lowerCamelCase ,  skip_special_tokens=__lowerCamelCase	)[0]
