




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  SCREAMING_SNAKE_CASE							(       __UpperCamelCase="")      ->					str:
     a     =				tempfile.mkdtemp()
     return os.path.join(__UpperCamelCase		, str(uuid.uuida()) + suffix)




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







     def       lowerCAmelCase_    (     self			)  ->   Any:



          '''simple docstring'''



          a     =				torch.rand(12  ,		dtype=torch.floataa			) - 0.5
          a     =				AgentAudio(A			)
          a     =				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
          a  ,				a     =				sf.read(A			)
          self.assertTrue(torch.allclose(A  ,		torch.tensor(A			)  ,		atol=1e-4			)			)







     def       lowerCAmelCase_    (     self			)  ->   str:



          '''simple docstring'''



          a     =				torch.rand(12  ,		dtype=torch.floataa			) - 0.5
          a     =				get_new_path(suffix=".wav"			)
          sf.write(A  ,		A  ,		16000			)

          a     =				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       lowerCAmelCase_    (     self			)  ->   Tuple:



          '''simple docstring'''



          a     =				torch.randint(0  ,		256  ,		(64, 64, 3)			)
          a     =				AgentImage(A			)
          a     =				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       lowerCAmelCase_    (     self			)  ->   Union[str, Any]:



          '''simple docstring'''



          a     =				Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"
          a     =				Image.open(A			)
          a     =				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       lowerCAmelCase_    (     self			)  ->   Dict:



          '''simple docstring'''



          a     =				Path(get_tests_dir("fixtures/tests_samples/COCO"			)			) / "000000039769.png"
          a     =				Image.open(A			)
          a     =				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       lowerCAmelCase_    (     self			)  ->   Tuple:



          '''simple docstring'''



          a     =				"Hey!"
          a     =				AgentText(A			)

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







lowercase__				:      List[Any]	   = {
    "a": "AAAAA",
    "b": "AAAAB",
    "c": "AAABA",
    "d": "AAABB",
    "e": "AABAA",
    "f": "AABAB",
    "g": "AABBA",
    "h": "AABBB",
    "i": "ABAAA",
    "j": "BBBAA",
    "k": "ABAAB",
    "l": "ABABA",
    "m": "ABABB",
    "n": "ABBAA",
    "o": "ABBAB",
    "p": "ABBBA",
    "q": "ABBBB",
    "r": "BAAAA",
    "s": "BAAAB",
    "t": "BAABA",
    "u": "BAABB",
    "v": "BBBAB",
    "w": "BABAA",
    "x": "BABAB",
    "y": "BABBA",
    "z": "BABBB",
    " ": " ",
}


lowercase__				:      str	   = {value: key for key, value in encode_dict.items()}

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					str:
     a     =				""
     for letter in word.lower():
          if letter.isalpha() or letter == " ":
               encoded += encode_dict[letter]
          else:
               raise Exception("encode() accepts only letters of the alphabet and spaces")
     return encoded

def  SCREAMING_SNAKE_CASE							(       __UpperCamelCase)      ->					str:
     if set(__UpperCamelCase) - {"A", "B", " "} != set():
          raise Exception("decode() accepts only 'A', 'B' and spaces")
     a     =				""
     for word in coded.split():
          while len(__UpperCamelCase) != 0:
               decoded += decode_dict[word[:5]]
               a     =				word[5:]
          decoded += " "
     return decoded.strip()


if __name__ == "__main__":
   from doctest import testmod

   testmod()

