
"""simple docstring"""







from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np




class 			A__	(     _lowerCamelCase):

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE			):
			return 0.0



def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase		):
	__lowerCAmelCase      :						str						      =				min([-20, np.min(fft_results[1 : samplerate // 2 - 1]		)]		)
	__lowerCAmelCase      :						List[Any]						      =				max([20, np.max(fft_results[1 : samplerate // 2 - 1]		)]		)
	return lowest, highest
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase		):
	__lowerCAmelCase      :						Any						      =				512
	__lowerCAmelCase      :						int						      =				[1] + [0] * (size - 1)
	__lowerCAmelCase      :						int						      =				[filter_type.process(_UpperCamelCase		) for item in inputs]

	__lowerCAmelCase      :						Optional[int]						      =				[0] * (samplerate - size)  # zero-padding
	outputs += filler
	__lowerCAmelCase      :						Optional[Any]						      =				np.abs(np.fft.fft(_UpperCamelCase		)		)
	__lowerCAmelCase      :						List[str]						      =				20 * np.logaa(_UpperCamelCase		)

	# 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
	__lowerCAmelCase      :						str						      =				get_bounds(_UpperCamelCase	,  _UpperCamelCase		)
	plt.ylim(max([-80, bounds[0]]		)	,  min([80, bounds[1]]		)		)
	plt.ylabel('Gain (dB)'		)

	plt.plot(_UpperCamelCase		)
	plt.show()
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase		):
	__lowerCAmelCase      :						Union[str, Any]						      =				512
	__lowerCAmelCase      :						List[str]						      =				[1] + [0] * (size - 1)
	__lowerCAmelCase      :						Any						      =				[filter_type.process(_UpperCamelCase		) for item in inputs]

	__lowerCAmelCase      :						Any						      =				[0] * (samplerate - size)  # zero-padding
	outputs += filler
	__lowerCAmelCase      :						Dict						      =				np.angle(np.fft.fft(_UpperCamelCase		)		)

	# 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(_UpperCamelCase	,  -2 * pi		)		)
	plt.show()

"""simple docstring"""







from typing import Optional
from urllib.parse import quote

import huggingface_hub as hfh
from packaging import version
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase = None		):
	if version.parse(hfh.__version__		).release < version.parse('0.11.0'		).release:
		# old versions of hfh don't url-encode the file path
		__lowerCAmelCase      :						List[str]						      =				quote(_UpperCamelCase		)
	return hfh.hf_hub_url(_UpperCamelCase	,  _UpperCamelCase	,  repo_type='dataset'	,  revision=_UpperCamelCase		)