





'''simple docstring'''




import math
from typing import Optional

import numpy as np

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__UpperCAmelCase            =       logging.get_logger(__name__)

__UpperCAmelCase            =       {
    """facebook/encodec_24khz""": """https://huggingface.co/facebook/encodec_24khz/resolve/main/config.json""",
    """facebook/encodec_48khz""": """https://huggingface.co/facebook/encodec_48khz/resolve/main/config.json""",
}




class      UpperCamelCase__					(					lowercase_			):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__				=	'''encodec'''


					def __init__(						self				:			Union[str, Any]      ,						lowerCamelCase_				:			int=[1.5, 3.0, 6.0, 12.0, 24.0]      ,						lowerCamelCase_				:			Any=2_40_00      ,						lowerCamelCase_				:			List[str]=1      ,						lowerCamelCase_				:			Optional[int]=False      ,						lowerCamelCase_				:			List[str]=None      ,						lowerCamelCase_				:			str=None      ,						lowerCamelCase_				:			Optional[int]=1_28      ,						lowerCamelCase_				:			str=32      ,						lowerCamelCase_				:			List[str]=1      ,						lowerCamelCase_				:			List[Any]=[8, 5, 4, 2]      ,						lowerCamelCase_				:			Any="weight_norm"      ,						lowerCamelCase_				:			str=7      ,						lowerCamelCase_				:			Tuple=7      ,						lowerCamelCase_				:			Optional[int]=3      ,						lowerCamelCase_				:			Union[str, Any]=2      ,						lowerCamelCase_				:			List[Any]=True      ,						lowerCamelCase_				:			List[str]="reflect"      ,						lowerCamelCase_				:			Optional[int]=2      ,						lowerCamelCase_				:			Tuple=2      ,						lowerCamelCase_				:			str=1.0      ,						lowerCamelCase_				:			int=10_24      ,						lowerCamelCase_				:			int=None      ,						lowerCamelCase_				:			str=True      ,						**lowerCamelCase_				:			Tuple      ,						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				str		=			target_bandwidths
							SCREAMING_SNAKE_CASE :				Any		=			sampling_rate
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			audio_channels
							SCREAMING_SNAKE_CASE :				Any		=			normalize
							SCREAMING_SNAKE_CASE :				Dict		=			chunk_length_s
							SCREAMING_SNAKE_CASE :				List[str]		=			overlap
							SCREAMING_SNAKE_CASE :				Optional[int]		=			hidden_size
							SCREAMING_SNAKE_CASE :				List[str]		=			num_filters
							SCREAMING_SNAKE_CASE :				List[Any]		=			num_residual_layers
							SCREAMING_SNAKE_CASE :				int		=			upsampling_ratios
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			norm_type
							SCREAMING_SNAKE_CASE :				Dict		=			kernel_size
							SCREAMING_SNAKE_CASE :				Dict		=			last_kernel_size
							SCREAMING_SNAKE_CASE :				List[Any]		=			residual_kernel_size
							SCREAMING_SNAKE_CASE :				Dict		=			dilation_growth_rate
							SCREAMING_SNAKE_CASE :				str		=			use_causal_conv
							SCREAMING_SNAKE_CASE :				str		=			pad_mode
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			compress
							SCREAMING_SNAKE_CASE :				Dict		=			num_lstm_layers
							SCREAMING_SNAKE_CASE :				List[Any]		=			trim_right_ratio
							SCREAMING_SNAKE_CASE :				Optional[int]		=			codebook_size
							SCREAMING_SNAKE_CASE :				List[str]		=			codebook_dim if codebook_dim is not None else hidden_size
							SCREAMING_SNAKE_CASE :				Optional[Any]		=			use_conv_shortcut

							if self.norm_type not in ["weight_norm", "time_group_norm"]:
									raise ValueError(
									    f'''self.norm_type must be one of `"weight_norm"`, `"time_group_norm"`), got {self.norm_type}'''						)

							super().__init__(**lowerCamelCase_						)


					@property
					def lowerCamelCase_			(						self				:			Optional[Any]						):

							'''simple docstring'''



							if self.chunk_length_s is None:
									return None
							else:
									return int(self.chunk_length_s * self.sampling_rate						)


					@property
					def lowerCamelCase_			(						self				:			Union[str, Any]						):

							'''simple docstring'''



							if self.chunk_length_s is None or self.overlap is None:
									return None
							else:
									return max(1      ,						int((1.0 - self.overlap) * self.chunk_length						)						)


					@property
					def lowerCamelCase_			(						self				:			List[str]						):

							'''simple docstring'''



							SCREAMING_SNAKE_CASE :				Optional[Any]		=			np.prod(self.upsampling_ratios						)
							return math.ceil(self.sampling_rate / hop_length						)



					@property
					def lowerCamelCase_			(						self				:			Union[str, Any]						):

							'''simple docstring'''



							return int(10_00 * self.target_bandwidths[-1] // (self.frame_rate * 10)						)










'''simple docstring'''




from __future__ import annotations

from statistics import mean



def 		__A		(  lowerCamelCase_			,			lowerCamelCase_			,			lowerCamelCase_	):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE :				List[Any]		=			[0] * no_of_processes
		SCREAMING_SNAKE_CASE :				int		=			[0] * no_of_processes

		# Initialize remaining_time to waiting_time.

		for i in range(lowerCamelCase_	):
				SCREAMING_SNAKE_CASE :				Optional[int]		=			burst_time[i]
		SCREAMING_SNAKE_CASE :				list[int]		=			[]

		SCREAMING_SNAKE_CASE :				List[str]		=			0
		SCREAMING_SNAKE_CASE :				List[Any]		=			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:
				SCREAMING_SNAKE_CASE :				Optional[int]		=			[]
				SCREAMING_SNAKE_CASE :				Any		=			-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:
						SCREAMING_SNAKE_CASE :				Union[str, Any]		=			ready_process[0]
						for i in ready_process:
								if remaining_time[i] < remaining_time[target_process]:
										SCREAMING_SNAKE_CASE :				Any		=			i
						total_time += burst_time[target_process]
						completed += 1
						SCREAMING_SNAKE_CASE :				Any		=			0
						SCREAMING_SNAKE_CASE :				Optional[int]		=			(
						    total_time - arrival_time[target_process] - burst_time[target_process]
						)
				else:
						total_time += 1

		return waiting_time



def 		__A		(  lowerCamelCase_			,			lowerCamelCase_			,			lowerCamelCase_	):


		"""simple docstring"""



		SCREAMING_SNAKE_CASE :				Any		=			[0] * no_of_processes
		for i in range(lowerCamelCase_	):
				SCREAMING_SNAKE_CASE :				Union[str, Any]		=			burst_time[i] + waiting_time[i]
		return turn_around_time


if __name__ == "__main__":
							print("""[TEST CASE 01]""")

							__UpperCAmelCase            =       4
							__UpperCAmelCase            =       [2, 5, 3, 7]
							__UpperCAmelCase            =       [0, 0, 0, 0]
							__UpperCAmelCase            =       calculate_waitingtime(arrival_time, burst_time, no_of_processes)
							__UpperCAmelCase            =       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}''')



