


'''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__(       __lowercase	):




				def 					a__(		self      :			str				,   lowerCAmelCase      :			float				)->					float:

										"""simple docstring"""




										return 0.0







def 				lowerCamelCase__				(	A       :      Union[str, Any]				,       A       :      int					):




						'''simple docstring'''






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


def 				lowerCamelCase__				(	A       :      Optional[Any]				,       A       :      List[str]					):




						'''simple docstring'''






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

						UpperCAmelCase					    =     [0] * (samplerate - size)  # zero-padding
						outputs += filler
						UpperCAmelCase					    =     np.abs(np.fft.fft(_lowerCamelCase					)					)
						UpperCAmelCase					    =     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
						UpperCAmelCase					    =     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__				(	A       :      List[Any]				,       A       :      List[Any]					):




						'''simple docstring'''






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

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



import os
import tempfile
import unittest
import uuid
from pathlib import Path

from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is_soundfile_availble, is_torch_available, is_vision_available


if is_torch_available():
	import torch

if is_soundfile_availble():
	import soundfile as sf

if is_vision_available():
	from PIL import Image


def 				lowerCamelCase__				(	A       :      str=""					):




						'''simple docstring'''






						UpperCAmelCase					    =     tempfile.mkdtemp()
						return os.path.join(A				,       str(uuid.uuida()					) + suffix					)






@require_soundfile
@require_torch
class 	UpperCamelCase__(       unittest.TestCase	):




				def 					a__(		self      :			int				)->					int:

										"""simple docstring"""




										UpperCAmelCase					    =     torch.rand(12				,   dtype=torch.floataa				) - 0.5
										UpperCAmelCase					    =     AgentAudio(lowerCAmelCase				)
										UpperCAmelCase					    =     str(agent_type.to_string()				)

										# Ensure that the tensor and the agent_type's tensor are the same
										self.assertTrue(torch.allclose(lowerCAmelCase				,   agent_type.to_raw()				,   atol=1E-4				)				)

										del agent_type

										# Ensure the path remains even after the object deletion
										self.assertTrue(os.path.exists(lowerCAmelCase				)				)

										# Ensure that the file contains the same value as the original tensor
										UpperCAmelCase    ,    UpperCAmelCase					    =     sf.read(lowerCAmelCase				)
										self.assertTrue(torch.allclose(lowerCAmelCase				,   torch.tensor(lowerCAmelCase				)				,   atol=1E-4				)				)





				def 					a__(		self      :			Union[str, Any]				)->					Optional[Any]:

										"""simple docstring"""




										UpperCAmelCase					    =     torch.rand(12				,   dtype=torch.floataa				) - 0.5
										UpperCAmelCase					    =     get_new_path(suffix='''.wav'''				)
										sf.write(lowerCAmelCase				,   lowerCAmelCase				,   16000				)

										UpperCAmelCase					    =     AgentAudio(lowerCAmelCase				)

										self.assertTrue(torch.allclose(lowerCAmelCase				,   agent_type.to_raw()				,   atol=1E-4				)				)
										self.assertEqual(agent_type.to_string()				,   lowerCAmelCase				)







@require_vision
@require_torch
class 	UpperCamelCase__(       unittest.TestCase	):




				def 					a__(		self      :			List[Any]				)->					Any:

										"""simple docstring"""




										UpperCAmelCase					    =     torch.randint(0				,   256				,   (64, 64, 3)				)
										UpperCAmelCase					    =     AgentImage(lowerCAmelCase				)
										UpperCAmelCase					    =     str(agent_type.to_string()				)

										# Ensure that the tensor and the agent_type's tensor are the same
										self.assertTrue(torch.allclose(lowerCAmelCase				,   agent_type._tensor				,   atol=1E-4				)				)

										self.assertIsInstance(agent_type.to_raw()				,   Image.Image				)

										# Ensure the path remains even after the object deletion
										del agent_type
										self.assertTrue(os.path.exists(lowerCAmelCase				)				)




				def 					a__(		self      :			List[Any]				)->					List[Any]:

										"""simple docstring"""




										UpperCAmelCase					    =     Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
										UpperCAmelCase					    =     Image.open(lowerCAmelCase				)
										UpperCAmelCase					    =     AgentImage(lowerCAmelCase				)

										self.assertTrue(path.samefile(agent_type.to_string()				)				)
										self.assertTrue(image == agent_type.to_raw()				)

										# Ensure the path remains even after the object deletion
										del agent_type
										self.assertTrue(os.path.exists(lowerCAmelCase				)				)





				def 					a__(		self      :			Optional[Any]				)->					List[str]:

										"""simple docstring"""




										UpperCAmelCase					    =     Path(get_tests_dir('''fixtures/tests_samples/COCO'''				)				) / '''000000039769.png'''
										UpperCAmelCase					    =     Image.open(lowerCAmelCase				)
										UpperCAmelCase					    =     AgentImage(lowerCAmelCase				)

										self.assertFalse(path.samefile(agent_type.to_string()				)				)
										self.assertTrue(image == agent_type.to_raw()				)

										# Ensure the path remains even after the object deletion
										del agent_type
										self.assertTrue(os.path.exists(lowerCAmelCase				)				)







class 	UpperCamelCase__(       unittest.TestCase	):




				def 					a__(		self      :			int				)->					Any:

										"""simple docstring"""




										UpperCAmelCase					    =     '''Hey!'''
										UpperCAmelCase					    =     AgentText(lowerCAmelCase				)

										self.assertEqual(lowerCAmelCase				,   agent_type.to_string()				)
										self.assertEqual(lowerCAmelCase				,   agent_type.to_raw()				)
										self.assertEqual(lowerCAmelCase				,   lowerCAmelCase				)





