


"""simple docstring"""


from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np
class 						_UpperCamelCase						(     lowerCAmelCase__	):
							'''simple docstring'''







							def     snake_case       (  self					,     __a			):
										return 0.0


def _lowerCamelCase			(	_UpperCamelCase					,				_UpperCamelCase   ):

			'''simple docstring'''




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


def _lowerCamelCase			(	_UpperCamelCase					,				_UpperCamelCase   ):

			'''simple docstring'''




			__lowerCAmelCase       					=    512
			__lowerCAmelCase       					=    [1] + [0] * (size - 1)
			__lowerCAmelCase       					=    [filter_type.process(_UpperCamelCase   ) for item in inputs]

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

			'''simple docstring'''




			__lowerCAmelCase       					=    512
			__lowerCAmelCase       					=    [1] + [0] * (size - 1)
			__lowerCAmelCase       					=    [filter_type.process(_UpperCamelCase   ) for item in inputs]

			__lowerCAmelCase       					=    [0] * (samplerate - size)  # zero-padding
			outputs += filler
			__lowerCAmelCase       					=    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"""


def _lowerCamelCase			(	_UpperCamelCase					,				_UpperCamelCase   ):

			'''simple docstring'''




			__lowerCAmelCase       					=    len(_UpperCamelCase   )
			print("The following activities are selected:"   )

			# The first activity is always selected
			__lowerCAmelCase       					=    0
			print(_UpperCamelCase					,				end=","   )

			# Consider rest of the activities
			for j in range(_UpperCamelCase   ):
						# If this activity has start time greater than
						# or equal to the finish time of previously
						# selected activity, then select it
						if start[j] >= finish[i]:
									print(_UpperCamelCase					,				end=","   )
									__lowerCAmelCase       					=    j


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	A  :     Dict    					=    [1, 3, 0, 5, 8, 5]
	A  :     int    					=    [2, 4, 6, 7, 9, 9]
	print_max_activities(start, finish)




