


from __future__ import annotations

from math import pi
from typing import Protocol

import matplotlib.pyplot as plt
import numpy as np

class   A__ (   snake_case__     ):







    """simple docstring"""

    def 		a_      (	self      , __snake_case   ):
         return 0.0






def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_    ):



     """simple docstring"""






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



     """simple docstring"""






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

     snake_case					=    [0] * (samplerate - size)  # zero-padding
     outputs += filler
     snake_case					=    np.abs(np.fft.fft(UpperCamelCase_    )    )
     snake_case					=    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
     snake_case					=    get_bounds(UpperCamelCase_							,UpperCamelCase_    )
     plt.ylim(max([-80, bounds[0]]    )							,min([80, bounds[1]]    )    )
     plt.ylabel('''Gain (dB)'''    )

     plt.plot(UpperCamelCase_    )
     plt.show()

def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_    ):



     """simple docstring"""






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

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








import re

from filelock import FileLock


try:
 import nltk

 _SCREAMING_SNAKE_CASE      :			Union[str, Any]      				=   True
except (ImportError, ModuleNotFoundError):
 _SCREAMING_SNAKE_CASE      :			Optional[Any]      				=   False

if NLTK_AVAILABLE:
 with FileLock(".lock") as lock:
  nltk.download("punkt", quiet=True)
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     re.sub('''<n>'''							,''''''							,UpperCamelCase_    )  # remove pegasus newline char
     assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
     return "\n".join(nltk.sent_tokenize(UpperCamelCase_    )    )




