





'''simple docstring'''




import math
from typing import Optional

import numpy as np

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


a__					:			Optional[Any]          =     logging.get_logger(__name__)

a__					:			Tuple          =     {
    '''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 				__snake_case     (					__magic_name__							):
	__lowerCAmelCase       						=  '''encodec'''





	def __init__(		self      ,       UpperCamelCase_=[1.5, 3.0, 6.0, 1_2.0, 2_4.0]      ,       UpperCamelCase_=2_4000      ,       UpperCamelCase_=1      ,       UpperCamelCase_=False      ,       UpperCamelCase_=None      ,       UpperCamelCase_=None      ,       UpperCamelCase_=128      ,       UpperCamelCase_=32      ,       UpperCamelCase_=1      ,       UpperCamelCase_=[8, 5, 4, 2]      ,       UpperCamelCase_="weight_norm"      ,       UpperCamelCase_=7      ,       UpperCamelCase_=7      ,       UpperCamelCase_=3      ,       UpperCamelCase_=2      ,       UpperCamelCase_=True      ,       UpperCamelCase_="reflect"      ,       UpperCamelCase_=2      ,       UpperCamelCase_=2      ,       UpperCamelCase_=1.0      ,       UpperCamelCase_=1024      ,       UpperCamelCase_=None      ,       UpperCamelCase_=True      ,       **UpperCamelCase_      ,       )      ->		List[Any]:
		snake_case__	       =   target_bandwidths
		snake_case__	       =   sampling_rate
		snake_case__	       =   audio_channels
		snake_case__	       =   normalize
		snake_case__	       =   chunk_length_s
		snake_case__	       =   overlap
		snake_case__	       =   hidden_size
		snake_case__	       =   num_filters
		snake_case__	       =   num_residual_layers
		snake_case__	       =   upsampling_ratios
		snake_case__	       =   norm_type
		snake_case__	       =   kernel_size
		snake_case__	       =   last_kernel_size
		snake_case__	       =   residual_kernel_size
		snake_case__	       =   dilation_growth_rate
		snake_case__	       =   use_causal_conv
		snake_case__	       =   pad_mode
		snake_case__	       =   compress
		snake_case__	       =   num_lstm_layers
		snake_case__	       =   trim_right_ratio
		snake_case__	       =   codebook_size
		snake_case__	       =   codebook_dim if codebook_dim is not None else hidden_size
		snake_case__	       =   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__(**UpperCamelCase_		)





	@property
	def   _snake_case   (		self		)      ->		Optional[int]:
		if self.chunk_length_s is None:
			return None
		else:
			return int(self.chunk_length_s * self.sampling_rate		)





	@property
	def   _snake_case   (		self		)      ->		Optional[int]:
		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   _snake_case   (		self		)      ->		int:
		snake_case__	       =   np.prod(self.upsampling_ratios		)
		return math.ceil(self.sampling_rate / hop_length		)





	@property
	def   _snake_case   (		self		)      ->		int:
		return int(1000 * self.target_bandwidths[-1] // (self.frame_rate * 10)		)










'''simple docstring'''




from collections import Counter
from timeit import timeit




def 						__lowerCamelCase			(	UpperCAmelCase_ = ""					,				)   ->bool:
	return sum(c % 2 for c in Counter(input_str.replace(' '					,				''							).lower()							).values()							) < 2




def 						__lowerCamelCase			(	UpperCAmelCase_ = ""							)   ->bool:
	if len(UpperCAmelCase_							) == 0:
		return True
	snake_case__	       =   input_str.replace(' '					,				''							).lower()
	# character_freq_dict: Stores the frequency of every character in the input string
	snake_case__	       =   {}

	for character in lower_case_input_str:
		snake_case__	       =   character_freq_dict.get(UpperCAmelCase_					,				0							) + 1
	snake_case__	       =   0

	for character_count in character_freq_dict.values():
		if character_count % 2:
			odd_char += 1
	if odd_char > 1:
		return False
	return True




def 						__lowerCamelCase			(	UpperCAmelCase_ = ""							)   ->None:
	print('\nFor string = '					,				UpperCAmelCase_					,				':'							)
	print(
	    '> can_string_be_rearranged_as_palindrome_counter()'					,				'\tans ='					,				can_string_be_rearranged_as_palindrome_counter(UpperCAmelCase_							)					,				'\ttime ='					,				timeit(
	        'z.can_string_be_rearranged_as_palindrome_counter(z.check_str)'					,				setup='import __main__ as z'					,				)					,				'seconds'					,				)
	print(
	    '> can_string_be_rearranged_as_palindrome()'					,				'\tans ='					,				can_string_be_rearranged_as_palindrome(UpperCAmelCase_							)					,				'\ttime ='					,				timeit(
	        'z.can_string_be_rearranged_as_palindrome(z.check_str)'					,				setup='import __main__ as z'					,				)					,				'seconds'					,				)


if __name__ == "__main__":
			a__					:			str          =     input(
			    '''Enter string to determine if it can be rearranged as a palindrome or not: '''
			).strip()
			benchmark(check_str)
			a__					:			List[Any]          =     can_string_be_rearranged_as_palindrome_counter(check_str)
			print(f"""{check_str} can {'' if status else 'not '}be rearranged as a palindrome""")



