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		):



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   float:
								return 0.0






def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase						):
					__a		 =       min([-20, np.min(fft_results[1 : samplerate // 2 - 1]						)]						)
					__a		 =       max([20, np.max(fft_results[1 : samplerate // 2 - 1]						)]						)
					return lowest, highest
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase						):
					__a		 =       512
					__a		 =       [1] + [0] * (size - 1)
					__a		 =       [filter_type.process(__lowerCamelCase						) for item in inputs]

					__a		 =       [0] * (samplerate - size)  # zero-padding
					outputs += filler
					__a		 =       np.abs(np.fft.fft(__lowerCamelCase						)						)
					__a		 =       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
					__a		 =       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(     __lowerCamelCase				,    __lowerCamelCase						):
					__a		 =       512
					__a		 =       [1] + [0] * (size - 1)
					__a		 =       [filter_type.process(__lowerCamelCase						) for item in inputs]

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





import warnings

from ..trainer import Trainer
from ..utils import logging


lowerCamelCase_    :		Union[str, Any]							=	logging.get_logger(__name__)


class 						a__							(       __snake_case		):



			def __init__(						self				,						UpperCAmelCase=None				,						**UpperCAmelCase   )			->   Any:
								warnings.warn(
								    '`SageMakerTrainer` is deprecated and will be removed in v5 of Transformers. You can use `Trainer` '
								    'instead.'				,						UpperCAmelCase				,						)
								super().__init__(args=UpperCAmelCase				,						**UpperCAmelCase   )




