




"""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      _snake_case			(				lowercase__=""		):
				_lowerCamelCase     :			Any    =    tempfile.mkdtemp()
				return os.path.join(snake_case__							,    str(uuid.uuida()		) + suffix		)






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






			'''simple docstring'''



			def 					A_    (  self  ):
							_lowerCamelCase     :			List[Any]    =    torch.rand(12  ,      dtype=torch.floataa  ) - 0.5
							_lowerCamelCase     :			Optional[Any]    =    AgentAudio(lowerCAmelCase_  )
							_lowerCamelCase     :			List[Any]    =    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
							_lowerCamelCase, _lowerCamelCase     :			int    =    sf.read(lowerCAmelCase_  )
							self.assertTrue(torch.allclose(lowerCAmelCase_  ,      torch.tensor(lowerCAmelCase_  )  ,      atol=1E-4  )  )






			def 					A_    (  self  ):
							_lowerCamelCase     :			List[str]    =    torch.rand(12  ,      dtype=torch.floataa  ) - 0.5
							_lowerCamelCase     :			Dict    =    get_new_path(suffix='.wav'  )
							sf.write(lowerCAmelCase_  ,      lowerCAmelCase_  ,      16000  )

							_lowerCamelCase     :			Tuple    =    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 lowerCAmelCase__	(     unittest.TestCase						):






			'''simple docstring'''



			def 					A_    (  self  ):
							_lowerCamelCase     :			Optional[Any]    =    torch.randint(0  ,      256  ,      (64, 64, 3)  )
							_lowerCamelCase     :			List[Any]    =    AgentImage(lowerCAmelCase_  )
							_lowerCamelCase     :			Dict    =    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  ):
							_lowerCamelCase     :			Dict    =    Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'
							_lowerCamelCase     :			Optional[Any]    =    Image.open(lowerCAmelCase_  )
							_lowerCamelCase     :			str    =    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  ):
							_lowerCamelCase     :			Dict    =    Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'
							_lowerCamelCase     :			List[str]    =    Image.open(lowerCAmelCase_  )
							_lowerCamelCase     :			Dict    =    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 lowerCAmelCase__	(     unittest.TestCase						):






			'''simple docstring'''



			def 					A_    (  self  ):
							_lowerCamelCase     :			Optional[int]    =    'Hey!'
							_lowerCamelCase     :			Dict    =    AgentText(lowerCAmelCase_  )

							self.assertEqual(lowerCAmelCase_  ,      agent_type.to_string()  )
							self.assertEqual(lowerCAmelCase_  ,      agent_type.to_raw()  )
							self.assertEqual(lowerCAmelCase_  ,      lowerCAmelCase_  )
from math import isqrt






def  snake_case  (       snake_case__			:int)						->   bool:
       return all(number % divisor != 0 for divisor in range(2   ,	isqrt(snake_case__) + 1))






def  snake_case  (       snake_case__			:int = 10**6)						->   int:
       _A        =  0
       _A        =  1
       _A        =  7
       while prime_candidate < max_prime:
              primes_count += is_prime(snake_case__)

              cube_index += 1
              prime_candidate += 6 * cube_index

       return primes_count


if __name__ == "__main__":
    print(F'''{solution() = }''')




