'''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_    ( snake_case_	:			Tuple=""      )   ->				str:


     '''simple docstring'''




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




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



    def  _lowercase						(self   :   Union[str, Any]			):
         UpperCAmelCase_	   =       torch.rand(12       ,      dtype=torch.floataa			) - 0.5
         UpperCAmelCase_	   =       AgentAudio(__a			)
         UpperCAmelCase_	   =       str(agent_type.to_string()			)

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

         del agent_type

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

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






    def  _lowercase						(self   :   List[str]			):
         UpperCAmelCase_	   =       torch.rand(12       ,      dtype=torch.floataa			) - 0.5
         UpperCAmelCase_	   =       get_new_path(suffix=".wav"			)
         sf.write(__a       ,      __a       ,      16000			)

         UpperCAmelCase_	   =       AgentAudio(__a			)

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




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



    def  _lowercase						(self   :   Dict			):
         UpperCAmelCase_	   =       torch.randint(0       ,      256       ,      (64, 64, 3)			)
         UpperCAmelCase_	   =       AgentImage(__a			)
         UpperCAmelCase_	   =       str(agent_type.to_string()			)

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



    def  _lowercase						(self   :   Union[str, Any]			):
         UpperCAmelCase_	   =       Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"
         UpperCAmelCase_	   =       Image.open(__a			)
         UpperCAmelCase_	   =       AgentImage(__a			)

         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(__a			)			)






    def  _lowercase						(self   :   List[str]			):
         UpperCAmelCase_	   =       Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"
         UpperCAmelCase_	   =       Image.open(__a			)
         UpperCAmelCase_	   =       AgentImage(__a			)

         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(__a			)			)




class 	__A				(			unittest.TestCase     ):



    def  _lowercase						(self   :   Dict			):
         UpperCAmelCase_	   =       "Hey!"
         UpperCAmelCase_	   =       AgentText(__a			)

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





'''simple docstring'''





from random import randint
from tempfile import TemporaryFile

import numpy as np





def      lowerCAmelCase_    ( snake_case_	:			int ,   snake_case_	:			Any ,   snake_case_	:			int      )   ->				Optional[Any]:


     '''simple docstring'''




     UpperCAmelCase_	   =       0
     if start < end:
          UpperCAmelCase_	   =       randint(snake_case_ ,   snake_case_      )
          UpperCAmelCase_	   =       a[end]
          UpperCAmelCase_	   =       a[pivot]
          UpperCAmelCase_	   =       temp

          UpperCAmelCase_   ,			UpperCAmelCase_	   =       _in_place_partition(snake_case_ ,   snake_case_ ,   snake_case_      )
          count += _in_place_quick_sort(snake_case_ ,   snake_case_ ,   p - 1      )
          count += _in_place_quick_sort(snake_case_ ,   p + 1 ,   snake_case_      )
     return count





def      lowerCAmelCase_    ( snake_case_	:			List[Any] ,   snake_case_	:			Dict ,   snake_case_	:			List[str]      )   ->				Optional[int]:


     '''simple docstring'''




     UpperCAmelCase_	   =       0
     UpperCAmelCase_	   =       randint(snake_case_ ,   snake_case_      )
     UpperCAmelCase_	   =       a[end]
     UpperCAmelCase_	   =       a[pivot]
     UpperCAmelCase_	   =       temp
     UpperCAmelCase_	   =       start - 1
     for index in range(snake_case_ ,   snake_case_      ):
          count += 1
          if a[index] < a[end]:  # check if current val is less than pivot value
               UpperCAmelCase_	   =       new_pivot_index + 1
               UpperCAmelCase_	   =       a[new_pivot_index]
               UpperCAmelCase_	   =       a[index]
               UpperCAmelCase_	   =       temp

     UpperCAmelCase_	   =       a[new_pivot_index + 1]
     UpperCAmelCase_	   =       a[end]
     UpperCAmelCase_	   =       temp
     return new_pivot_index + 1, count


SCREAMING_SNAKE_CASE_:					List[str]  =TemporaryFile()
SCREAMING_SNAKE_CASE_:					int  =1_00  # 1000 elements are to be sorted


SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_:					str  =0, 1  # mean and standard deviation
SCREAMING_SNAKE_CASE_:					List[str]  =np.random.normal(mu, sigma, p)
np.save(outfile, X)
print('The array is')
print(X)


outfile.seek(0)  # using the same array
SCREAMING_SNAKE_CASE_:					str  =np.load(outfile)
SCREAMING_SNAKE_CASE_:					List[Any]  =len(M) - 1
SCREAMING_SNAKE_CASE_:					Dict  =_in_place_quick_sort(M, 0, r)

print(
    'No of Comparisons for 100 elements selected from a standard normal distribution'
    'is :'
)






print(z)




