
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(  SCREAMING_SNAKE_CASE__=""    )			->   str:
       lowercase							:					List[Any]	     =				tempfile.mkdtemp()
       return os.path.join(SCREAMING_SNAKE_CASE__ ,     str(uuid.uuida()    ) + suffix    )

@require_soundfile
@require_torch
class __snake_case		(				unittest.TestCase					):
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Optional[Any]	     =				torch.rand(12		,dtype=torch.floataa				) - 0.5
           lowercase							:					List[Any]	     =				AgentAudio(snake_case				)
           lowercase							:					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(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
           lowercase     ,      lowercase							:					Tuple	     =				sf.read(snake_case				)
           self.assertTrue(torch.allclose(snake_case		,torch.tensor(snake_case				)		,atol=1e-4				)				)
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Tuple	     =				torch.rand(12		,dtype=torch.floataa				) - 0.5
           lowercase							:					int	     =				get_new_path(suffix=""".wav"""				)
           sf.write(snake_case		,snake_case		,16000				)

           lowercase							:					Optional[int]	     =				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 __snake_case		(				unittest.TestCase					):
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Union[str, Any]	     =				torch.randint(0		,256		,(64, 64, 3)				)
           lowercase							:					Tuple	     =				AgentImage(snake_case				)
           lowercase							:					List[str]	     =				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 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Optional[Any]	     =				Path(get_tests_dir("""fixtures/tests_samples/COCO"""				)				) / """000000039769.png"""
           lowercase							:					List[Any]	     =				Image.open(snake_case				)
           lowercase							:					int	     =				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 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					str	     =				Path(get_tests_dir("""fixtures/tests_samples/COCO"""				)				) / """000000039769.png"""
           lowercase							:					Dict	     =				Image.open(snake_case				)
           lowercase							:					Dict	     =				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 __snake_case		(				unittest.TestCase					):
    def 				_SCREAMING_SNAKE_CASE	(  self				):



           '''simple docstring'''







           lowercase							:					Dict	     =				"""Hey!"""
           lowercase							:					str	     =				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				)


from bisect import bisect
from itertools import accumulate







def 						_snake_case(  SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )			->   Optional[int]:
       lowercase							:					Dict	     =				sorted(zip(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    ) ,     key=lambda SCREAMING_SNAKE_CASE__    : x[0] / x[1] ,     reverse=SCREAMING_SNAKE_CASE__    )
       lowercase     ,      lowercase							:					Optional[Any]	     =				[i[0] for i in r], [i[1] for i in r]
       lowercase							:					Any	     =				list(accumulate(SCREAMING_SNAKE_CASE__    )    )
       lowercase							:					int	     =				bisect(SCREAMING_SNAKE_CASE__ ,     SCREAMING_SNAKE_CASE__    )
       return (
           0
           if k == 0
           else sum(vl[:k]    ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
           if k != n
           else sum(vl[:k]    )
       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
