



"""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__			(     lowerCamelCase__=""			) ->							str:
							A         =					tempfile.mkdtemp()
							return os.path.join(lowerCamelCase__				,      str(uuid.uuida()			) + suffix			)






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



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






									'''simple docstring'''

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

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

									del agent_type

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

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



		def 					A_		( self  :    Optional[Any]				)			->						Dict:






									'''simple docstring'''

									A         =					torch.rand(12      ,							dtype=torch.floataa				) - 0.5
									A         =					get_new_path(suffix='.wav'				)
									sf.write(snake_case      ,							snake_case      ,							16_000				)

									A         =					AgentAudio(snake_case				)

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






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



		def 					A_		( self  :    Any				)			->						Any:






									'''simple docstring'''

									A         =					torch.randint(0      ,							256      ,							(64, 64, 3)				)
									A         =					AgentImage(snake_case				)
									A         =					str(agent_type.to_string()				)

									# Ensure that the tensor and the agent_type's tensor are the same
									self.assertTrue(torch.allclose(snake_case      ,							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(snake_case				)				)



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






									'''simple docstring'''

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

									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(snake_case				)				)



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






									'''simple docstring'''

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

									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(snake_case				)				)






class      UpperCAmelCase__		(      unittest.TestCase     ):



		def 					A_		( self  :    Optional[Any]				)			->						Optional[Any]:






									'''simple docstring'''

									A         =					'Hey!'
									A         =					AgentText(snake_case				)

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








"""simple docstring"""







from __future__ import annotations

import sys
from collections import deque
from typing import Generic, TypeVar

A    =			TypeVar('T')






class      UpperCAmelCase__		(      Generic[T]     ):
		lowerCAmelCase_       :	deque[T]  # Cache store of keys
		lowerCAmelCase_       :	set[T]  # References of the keys in cache
		lowerCAmelCase_       :	int 							=     10  # Maximum capacity of cache



		def __init__( self  :    int      ,							snake_case  :    int				)			->						None:






									'''simple docstring'''

									A         =					deque()
									A         =					set()
									if not n:
																A         =					sys.maxsize
									elif n < 0:
																raise ValueError('n should be an integer greater than 0.'				)
									else:
																A         =					n



		def 					A_		( self  :    Optional[Any]      ,							snake_case  :    T				)			->						None:






									'''simple docstring'''

									if x not in self.key_reference:
																if len(self.dq_store				) == LRUCache._MAX_CAPACITY:
																							A         =					self.dq_store.pop()
																							self.key_reference.remove(snake_case				)
									else:
																self.dq_store.remove(snake_case				)

									self.dq_store.appendleft(snake_case				)
									self.key_reference.add(snake_case				)



		def 					A_		( self  :    Dict				)			->						None:






									'''simple docstring'''

									for k in self.dq_store:
																print(snake_case				)



		def __repr__( self  :    int				)			->						str:






									'''simple docstring'''

									return f"""LRUCache({self._MAX_CAPACITY}) => {list(self.dq_store				)}"""


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							A    =			LRUCache(4)
							lru_cache.refer('A')
							lru_cache.refer(2)
							lru_cache.refer(3)
							lru_cache.refer('A')
							lru_cache.refer(4)
							lru_cache.refer(5)
							lru_cache.display()

							print(lru_cache)
							assert str(lru_cache) == "LRUCache(4) => [5, 4, 'A', 3]"



