


'''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 			lowercase				(_A=""					):







       """simple docstring"""







       _lowerCAmelCase    :							List[Any]   			=       tempfile.mkdtemp()
       return os.path.join(lowerCamelCase_   ,						str(uuid.uuida()					) + suffix					)
@require_soundfile
@require_torch
class 	UpperCamelCase__					( unittest.TestCase	):



     """simple docstring"""






     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[str]   			=       torch.rand(12      ,	dtype=torch.floataa   ) - 0.5
            _lowerCAmelCase    :							Union[str, Any]   			=       AgentAudio(lowerCamelCase_   )
            _lowerCAmelCase    :							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    :							Union[str, Any]   			=       sf.read(lowerCamelCase_   )
            self.assertTrue(torch.allclose(lowerCamelCase_      ,	torch.tensor(lowerCamelCase_   )      ,	atol=1E-4   )   )







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							str   			=       torch.rand(12      ,	dtype=torch.floataa   ) - 0.5
            _lowerCAmelCase    :							List[str]   			=       get_new_path(suffix='.wav'   )
            sf.write(lowerCamelCase_      ,	lowerCamelCase_      ,	1_6000   )

            _lowerCAmelCase    :							Optional[int]   			=       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	):



     """simple docstring"""






     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Tuple   			=       torch.randint(0      ,	256      ,	(64, 64, 3)   )
            _lowerCAmelCase    :							Union[str, Any]   			=       AgentImage(lowerCamelCase_   )
            _lowerCAmelCase    :							Union[str, 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._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   ):

            '''simple docstring'''

            _lowerCAmelCase    :							str   			=       Path(get_tests_dir('fixtures/tests_samples/COCO'   )   ) / """000000039769.png"""
            _lowerCAmelCase    :							Optional[int]   			=       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   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[int]   			=       Path(get_tests_dir('fixtures/tests_samples/COCO'   )   ) / """000000039769.png"""
            _lowerCAmelCase    :							List[str]   			=       Image.open(lowerCamelCase_   )
            _lowerCAmelCase    :							Tuple   			=       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	):



     """simple docstring"""






     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Any   			=       """Hey!"""
            _lowerCAmelCase    :							Tuple   			=       AgentText(lowerCamelCase_   )

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






'''simple docstring'''







def 			lowercase				(_A					):







       """simple docstring"""







       _lowerCAmelCase    :							Dict   			=       len(_A					)
       while cur > 1:
              # Find the maximum number in arr
              _lowerCAmelCase    :							int   			=       arr.index(max(arr[0:cur]					)					)
              # Reverse from 0 to mi
              _lowerCAmelCase    :							Dict   			=       arr[mi::-1] + arr[mi + 1 : len(_A					)]
              # Reverse whole list
              _lowerCAmelCase    :							Optional[int]   			=       arr[cur - 1 :: -1] + arr[cur : len(_A					)]
              cur -= 1
       return arr


if __name__ == "__main__":
       lowerCAmelCase    :     Tuple					=						input("""Enter numbers separated by a comma:\n""").strip()
       lowerCAmelCase    :     Tuple					=						[int(item) for item in user_input.split(""",""")]
       print(pancake_sort(unsorted))

