


'''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       (				UpperCamelCase__       :					int=""			):
	__A  :		int       =			tempfile.mkdtemp()
	return os.path.join(SCREAMING_SNAKE_CASE_,				str(uuid.uuida()			) + suffix			)

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




	'''simple docstring'''


	def  snake_case__   (      self						):

		"""simple docstring"""







		__A  :		List[Any]       =			torch.rand(12      ,      dtype=torch.floataa						) - 0.5
		__A  :		int       =			AgentAudio(__lowercase						)
		__A  :		Optional[Any]       =			str(agent_type.to_string()						)

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

		del agent_type

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

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







	def  snake_case__   (      self						):

		"""simple docstring"""







		__A  :		Any       =			torch.rand(12      ,      dtype=torch.floataa						) - 0.5
		__A  :		Any       =			get_new_path(suffix='.wav'						)
		sf.write(__lowercase      ,      __lowercase      ,      16_000						)

		__A  :		Dict       =			AgentAudio(__lowercase						)

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


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




	'''simple docstring'''


	def  snake_case__   (      self						):

		"""simple docstring"""







		__A  :		str       =			torch.randint(0      ,      256      ,      (64, 64, 3)						)
		__A  :		int       =			AgentImage(__lowercase						)
		__A  :		Optional[int]       =			str(agent_type.to_string()						)

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


	def  snake_case__   (      self						):

		"""simple docstring"""







		__A  :		Dict       =			Path(get_tests_dir('fixtures/tests_samples/COCO'						)						) / '000000039769.png'
		__A  :		Tuple       =			Image.open(__lowercase						)
		__A  :		Any       =			AgentImage(__lowercase						)

		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(__lowercase						)						)







	def  snake_case__   (      self						):

		"""simple docstring"""







		__A  :		List[Any]       =			Path(get_tests_dir('fixtures/tests_samples/COCO'						)						) / '000000039769.png'
		__A  :		List[str]       =			Image.open(__lowercase						)
		__A  :		Tuple       =			AgentImage(__lowercase						)

		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(__lowercase						)						)


class 						_lowerCamelCase					(    unittest.TestCase				):




	'''simple docstring'''


	def  snake_case__   (      self						):

		"""simple docstring"""







		__A  :		List[str]       =			'Hey!'
		__A  :		Any       =			AgentText(__lowercase						)

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










'''simple docstring'''
import unittest

from transformers import DonutProcessor


UpperCAmelCase_ :     str								=      'naver-clova-ix/donut-base'

class 						_lowerCamelCase					(    unittest.TestCase				):




 '''simple docstring'''


 def  snake_case__   (      self						):

  """simple docstring"""







  __A  :		List[str]       =			DonutProcessor.from_pretrained(__lowercase						)







 def  snake_case__   (      self						):

  """simple docstring"""







  __A  :		List[str]       =			{
      'name': 'John Doe',
      'age': '99',
      'city': 'Atlanta',
      'state': 'GA',
      'zip': '30301',
      'phone': '123-4567',
      'nicknames': [{'nickname': 'Johnny'}, {'nickname': 'JD'}],
  }

  __A  :		Optional[Any]       =			(
      '<s_name>John Doe</s_name><s_age>99</s_age><s_city>Atlanta</s_city>'
      '<s_state>GA</s_state><s_zip>30301</s_zip><s_phone>123-4567</s_phone>'
      '<s_nicknames><s_nickname>Johnny</s_nickname>'
      '<sep/><s_nickname>JD</s_nickname></s_nicknames>'
  )
  __A  :		List[Any]       =			self.processor.tokenajson(__lowercase						)

  self.assertDictEqual(__lowercase      ,      __lowercase						)






