






from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np



class       __UpperCAmelCase		(_UpperCAmelCase    ):







			def 							UpperCamelCase      (	self:  Any      ,	UpperCAmelCase_:  Union[str, Any]     ):







									'''simple docstring'''




									return 0.0

def        __lowerCamelCase			(		snake_case__       ,snake_case__		)							->  tuple[int | float, int | float]:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE	      =  min([-20, np.min(fft_results[1 : samplerate // 2 - 1]		)]		)
						_SCREAMING_SNAKE_CASE	      =  max([20, np.max(fft_results[1 : samplerate // 2 - 1]		)]		)
						return lowest, highest

def        __lowerCamelCase			(		snake_case__       ,snake_case__		)							->  None:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE	      =  5_12
						_SCREAMING_SNAKE_CASE	      =  [1] + [0] * (size - 1)
						_SCREAMING_SNAKE_CASE	      =  [filter_type.process(lowerCAmelCase__		) for item in inputs]

						_SCREAMING_SNAKE_CASE	      =  [0] * (samplerate - size)  # zero-padding
						outputs += filler
						_SCREAMING_SNAKE_CASE	      =  np.abs(np.fft.fft(lowerCAmelCase__		)		)
						_SCREAMING_SNAKE_CASE	      =  20 * np.logaa(lowerCAmelCase__		)

						# Frequencies on log scale from 24 to nyquist frequency
						plt.xlim(24       ,samplerate / 2 - 1		)
						plt.xlabel("""Frequency (Hz)"""		)
						plt.xscale("""log"""		)

						# Display within reasonable bounds
						_SCREAMING_SNAKE_CASE	      =  get_bounds(lowerCAmelCase__       ,lowerCAmelCase__		)
						plt.ylim(max([-80, bounds[0]]		)       ,min([80, bounds[1]]		)		)
						plt.ylabel("""Gain (dB)"""		)

						plt.plot(lowerCAmelCase__		)
						plt.show()




def        __lowerCamelCase			(		snake_case__       ,snake_case__		)							->  None:






						"""simple docstring"""





						_SCREAMING_SNAKE_CASE	      =  5_12
						_SCREAMING_SNAKE_CASE	      =  [1] + [0] * (size - 1)
						_SCREAMING_SNAKE_CASE	      =  [filter_type.process(lowerCAmelCase__		) for item in inputs]

						_SCREAMING_SNAKE_CASE	      =  [0] * (samplerate - size)  # zero-padding
						outputs += filler
						_SCREAMING_SNAKE_CASE	      =  np.angle(np.fft.fft(lowerCAmelCase__		)		)

						# Frequencies on log scale from 24 to nyquist frequency
						plt.xlim(24       ,samplerate / 2 - 1		)
						plt.xlabel("""Frequency (Hz)"""		)
						plt.xscale("""log"""		)

						plt.ylim(-2 * pi       ,2 * pi		)
						plt.ylabel("""Phase shift (Radians)"""		)
						plt.plot(np.unwrap(lowerCAmelCase__       ,-2 * pi		)		)
						plt.show()


"""simple docstring"""






from ..utils import DummyObject, requires_backends





class  _A						(       metaclass=lowerCAmelCase	):
      snake_case__			:   List[str]							  =	['onnx']

      def __init__(						self		,       *__lowerCAmelCase		,       **__lowerCAmelCase						):







            """simple docstring"""



            requires_backends(self		,       ["""onnx"""]						)

      @classmethod
      def 				A__       (						cls		,       *__lowerCAmelCase		,       **__lowerCAmelCase						):







            """simple docstring"""



            requires_backends(cls		,       ["""onnx"""]						)







      @classmethod
      def 				A__       (						cls		,       *__lowerCAmelCase		,       **__lowerCAmelCase						):







            """simple docstring"""



            requires_backends(cls		,       ["""onnx"""]						)



