

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







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







  """simple docstring"""




  def  _lowercase      (			self    : Any		)					->Any:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      Any       =   torch.rand(1_2				,				dtype=torch.floataa		) - 0.5
        SCREAMING_SNAKE_CASE :      List[Any]       =   AgentAudio(UpperCAmelCase__		)
        SCREAMING_SNAKE_CASE :      List[str]       =   str(agent_type.to_string()		)

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

        del agent_type

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

        # Ensure that the file contains the same value as the original tensor
        SCREAMING_SNAKE_CASE     ,	SCREAMING_SNAKE_CASE :      str       =   sf.read(UpperCAmelCase__		)
        self.assertTrue(torch.allclose(UpperCAmelCase__				,				torch.tensor(UpperCAmelCase__		)				,				atol=1e-4		)		)




  def  _lowercase      (			self    : Optional[Any]		)					->Tuple:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      Optional[int]       =   torch.rand(1_2				,				dtype=torch.floataa		) - 0.5
        SCREAMING_SNAKE_CASE :      Tuple       =   get_new_path(suffix=""".wav"""		)
        sf.write(UpperCAmelCase__				,				UpperCAmelCase__				,				1_6_0_0_0		)

        SCREAMING_SNAKE_CASE :      int       =   AgentAudio(UpperCAmelCase__		)

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







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







  """simple docstring"""




  def  _lowercase      (			self    : Dict		)					->Any:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      Any       =   torch.randint(0				,				2_5_6				,				(6_4, 6_4, 3)		)
        SCREAMING_SNAKE_CASE :      List[str]       =   AgentImage(UpperCAmelCase__		)
        SCREAMING_SNAKE_CASE :      Optional[Any]       =   str(agent_type.to_string()		)

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


  def  _lowercase      (			self    : int		)					->int:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      Optional[Any]       =   Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""
        SCREAMING_SNAKE_CASE :      str       =   Image.open(UpperCAmelCase__		)
        SCREAMING_SNAKE_CASE :      List[str]       =   AgentImage(UpperCAmelCase__		)

        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(UpperCAmelCase__		)		)




  def  _lowercase      (			self    : Dict		)					->List[Any]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      str       =   Path(get_tests_dir("""fixtures/tests_samples/COCO"""		)		) / """000000039769.png"""
        SCREAMING_SNAKE_CASE :      Optional[int]       =   Image.open(UpperCAmelCase__		)
        SCREAMING_SNAKE_CASE :      Optional[int]       =   AgentImage(UpperCAmelCase__		)

        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(UpperCAmelCase__		)		)







class        a__       (   unittest.TestCase       ):







  """simple docstring"""




  def  _lowercase      (			self    : Tuple		)					->Any:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      List[str]       =   """Hey!"""
        SCREAMING_SNAKE_CASE :      Optional[int]       =   AgentText(UpperCAmelCase__		)

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







def 					__lowercase      (     _A			)     ->						str:
      SCREAMING_SNAKE_CASE :      Optional[Any]       =   """"""
      for ch in key:
            if ch == " " or ch not in key_no_dups and ch.isalpha():
                  key_no_dups += ch
      return key_no_dups






def 					__lowercase      (     _A			)     ->						dict[str, str]:
      SCREAMING_SNAKE_CASE :      int       =   [chr(i + 65			) for i in range(26			)]
      # Remove duplicate characters from key
      SCREAMING_SNAKE_CASE :      List[str]       =   remove_duplicates(key.upper()			)
      SCREAMING_SNAKE_CASE :      Dict       =   len(_A			)
      # First fill cipher with key characters
      SCREAMING_SNAKE_CASE :      int       =   {alphabet[i]: char for i, char in enumerate(_A			)}
      # Then map remaining characters in alphabet to
      # the alphabet from the beginning
      for i in range(len(_A			)						,    26			):
            SCREAMING_SNAKE_CASE :      List[Any]       =   alphabet[i - offset]
            # Ensure we are not mapping letters to letters previously mapped
            while char in key:
                  offset -= 1
                  SCREAMING_SNAKE_CASE :      str       =   alphabet[i - offset]
            SCREAMING_SNAKE_CASE :      List[Any]       =   char
      return cipher_alphabet






def 					__lowercase      (     _A						,    _A			)     ->						str:
      return "".join(cipher_map.get(_A						,    _A			) for ch in message.upper()			)






def 					__lowercase      (     _A						,    _A			)     ->						str:
      SCREAMING_SNAKE_CASE :      Optional[int]       =   {v: k for k, v in cipher_map.items()}
      return "".join(rev_cipher_map.get(_A						,    _A			) for ch in message.upper()			)






def 					__lowercase      (     )     ->						None:
      SCREAMING_SNAKE_CASE :      List[Any]       =   input("""Enter message to encode or decode: """			).strip()
      SCREAMING_SNAKE_CASE :      str       =   input("""Enter keyword: """			).strip()
      SCREAMING_SNAKE_CASE :      Dict       =   input("""Encipher or decipher? E/D:"""			).strip()[0].lower()
      try:
            SCREAMING_SNAKE_CASE :      int       =   {"""e""": encipher, """d""": decipher}[option]
      except KeyError:
            raise KeyError("""invalid input option"""			)
      SCREAMING_SNAKE_CASE :      Optional[int]       =   create_cipher_map(_A			)
      print(func(_A						,    _A			)			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()




