


"""simple docstring"""




def       a_ (	lowercase__ :Dict     ):
			__lowerCamelCase          =      []
			__lowerCamelCase          =      []
			__lowerCamelCase          =      {
			    """^""": 3,
			    """*""": 2,
			    """/""": 2,
			    """%""": 2,
			    """+""": 1,
			    """-""": 1,
			}  # Priority of each operator
			__lowerCamelCase          =      len(lowercase__     ) if (len(lowercase__     ) > 7) else 7

			# Print table header for output
			print(
			    """Symbol""".center(8     ),			"""Stack""".center(lowercase__     ),			"""Postfix""".center(lowercase__     ),			sep=""" | """,			)
			print("""-""" * (print_width * 3 + 7)     )

			for x in infix:
						if x.isalpha() or x.isdigit():
									post_fix.append(lowercase__     )  # if x is Alphabet / Digit, add it to Postfix
						elif x == "(":
									stack.append(lowercase__     )  # if x is "(" push to Stack
						elif x == ")":  # if x is ")" pop stack until "(" is encountered
									while stack[-1] != "(":
												post_fix.append(stack.pop()     )  # Pop stack & add the content to Postfix
									stack.pop()
						else:
									if len(lowercase__     ) == 0:
												stack.append(lowercase__     )  # If stack is empty, push x to stack
									else:  # while priority of x is not > priority of element in the stack
												while len(lowercase__     ) > 0 and priority[x] <= priority[stack[-1]]:
															post_fix.append(stack.pop()     )  # pop stack & add to Postfix
												stack.append(lowercase__     )  # push x to stack

						print(
						    x.center(8     ),			("""""".join(lowercase__     )).ljust(lowercase__     ),			("""""".join(lowercase__     )).ljust(lowercase__     ),			sep=""" | """,			)  # Output in tabular format

			while len(lowercase__     ) > 0:  # while stack is not empty
						post_fix.append(stack.pop()     )  # pop stack & add to Postfix
						print(
						    """ """.center(8     ),			("""""".join(lowercase__     )).ljust(lowercase__     ),			("""""".join(lowercase__     )).ljust(lowercase__     ),			sep=""" | """,			)  # Output in tabular format

			return "".join(lowercase__     )  # return Postfix as str





def       a_ (	lowercase__ :List[str]     ):
			__lowerCamelCase          =      list(infix[::-1]     )  # reverse the infix equation

			for i in range(len(lowercase__     )     ):
						if infix[i] == "(":
									__lowerCamelCase          =      """)"""  # change "(" to ")"
						elif infix[i] == ")":
									__lowerCamelCase          =      """("""  # change ")" to "("

			return (infix_2_postfix("""""".join(lowercase__     )     ))[
			    ::-1
			]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
					__magic_name__						: str    =				input('\nEnter an Infix Equation = ')  # Input an Infix equation
					__magic_name__						: Optional[int]    =				''.join(Infix.split())  # Remove spaces from the input
					print('\n\t', Infix, '(Infix) -> ', infix_2_prefix(Infix), '(Prefix)')








"""simple docstring"""




import math
from typing import Optional

import numpy as np

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


__magic_name__						: List[str]    =				logging.get_logger(__name__)

__magic_name__						: 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   (lowerCamelCase  ):
							__a					 =       '''encodec'''




							def __init__(     self:    Union[str, Any]     ,							A_:    Union[str, Any]=[1.5, 3.0, 6.0, 12.0, 24.0]     ,							A_:    Any=2_40_00     ,							A_:    List[Any]=1     ,							A_:    Optional[Any]=False     ,							A_:    Optional[int]=None     ,							A_:    int=None     ,							A_:    List[str]=1_28     ,							A_:    Union[str, Any]=32     ,							A_:    List[str]=1     ,							A_:    Dict=[8, 5, 4, 2]     ,							A_:    List[Any]="weight_norm"     ,							A_:    Any=7     ,							A_:    List[Any]=7     ,							A_:    Tuple=3     ,							A_:    List[str]=2     ,							A_:    Optional[Any]=True     ,							A_:    Optional[int]="reflect"     ,							A_:    Dict=2     ,							A_:    Union[str, Any]=2     ,							A_:    Union[str, Any]=1.0     ,							A_:    List[str]=10_24     ,							A_:    str=None     ,							A_:    List[str]=True     ,							**A_:    int     ,							):
										__lowerCamelCase          =      target_bandwidths
										__lowerCamelCase          =      sampling_rate
										__lowerCamelCase          =      audio_channels
										__lowerCamelCase          =      normalize
										__lowerCamelCase          =      chunk_length_s
										__lowerCamelCase          =      overlap
										__lowerCamelCase          =      hidden_size
										__lowerCamelCase          =      num_filters
										__lowerCamelCase          =      num_residual_layers
										__lowerCamelCase          =      upsampling_ratios
										__lowerCamelCase          =      norm_type
										__lowerCamelCase          =      kernel_size
										__lowerCamelCase          =      last_kernel_size
										__lowerCamelCase          =      residual_kernel_size
										__lowerCamelCase          =      dilation_growth_rate
										__lowerCamelCase          =      use_causal_conv
										__lowerCamelCase          =      pad_mode
										__lowerCamelCase          =      compress
										__lowerCamelCase          =      num_lstm_layers
										__lowerCamelCase          =      trim_right_ratio
										__lowerCamelCase          =      codebook_size
										__lowerCamelCase          =      codebook_dim if codebook_dim is not None else hidden_size
										__lowerCamelCase          =      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__(**A_   )




							@property
							def   __a   (     self:    Union[str, Any]   ):
										if self.chunk_length_s is None:
													return None
										else:
													return int(self.chunk_length_s * self.sampling_rate   )




							@property
							def   __a   (     self:    List[Any]   ):
										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   __a   (     self:    List[Any]   ):
										__lowerCamelCase          =      np.prod(self.upsampling_ratios   )
										return math.ceil(self.sampling_rate / hop_length   )




							@property
							def   __a   (     self:    List[Any]   ):
										return int(10_00 * self.target_bandwidths[-1] // (self.frame_rate * 10)   )




