




import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
   from PIL import Image

class   UpperCAmelCase    (      unittest.TestCase ,       __SCREAMING_SNAKE_CASE ):






   def 			_a    (						self :							int  )->      Union[str, Any]:
     _lowercase:			str      =     load_tool('image-question-answering'  )
     self.tool.setup()
     _lowercase:			int      =     load_tool('image-question-answering'    ,       remote=__UpperCAmelCase  )






   def 			_a    (						self :							Dict  )->      Any:
     _lowercase:			Any      =     Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'  )
     _lowercase:			Union[str, Any]      =     self.tool(__UpperCAmelCase    ,       'How many cats are sleeping on the couch?'  )
     self.assertEqual(__UpperCAmelCase    ,       '2'  )






   def 			_a    (						self :							Optional[Any]  )->      Tuple:
     _lowercase:			int      =     Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'  )
     _lowercase:			List[Any]      =     self.remote_tool(__UpperCAmelCase    ,       'How many cats are sleeping on the couch?'  )
     self.assertEqual(__UpperCAmelCase    ,       '2'  )






   def 			_a    (						self :							str  )->      Optional[int]:
     _lowercase:			Tuple      =     Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'  )
     _lowercase:			Union[str, Any]      =     self.tool(image=__UpperCAmelCase    ,       question='How many cats are sleeping on the couch?'  )
     self.assertEqual(__UpperCAmelCase    ,       '2'  )






   def 			_a    (						self :							str  )->      Optional[int]:
     _lowercase:			List[Any]      =     Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'  )  ) / '000000039769.png'  )
     _lowercase:			List[Any]      =     self.remote_tool(image=__UpperCAmelCase    ,       question='How many cats are sleeping on the couch?'  )
     self.assertEqual(__UpperCAmelCase    ,       '2'  )





'''simple docstring'''
import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_multi_gpu,
    require_single_gpu,
    test_sync,
)
from accelerate.utils import patch_environment



class _A	(     unittest.TestCase     ):





		def 				__A							(  self					)							->  Optional[Any]:

					'''simple docstring'''
					__UpperCAmelCase :   int    					=  inspect.getfile(accelerate.test_utils					)
					__UpperCAmelCase :   int    					=  os.path.sep.join(mod_file.split(os.path.sep					)[:-1] + ["""scripts""", """test_sync.py"""]					)





		@require_cpu
		def 				__A							(  self					)							->  Optional[Any]:

					'''simple docstring'''
					debug_launcher(test_sync.main			,							num_processes=1					)





		@require_cpu
		def 				__A							(  self					)							->  Optional[Any]:

					'''simple docstring'''
					debug_launcher(test_sync.main					)





		@require_single_gpu
		def 				__A							(  self					)							->  Tuple:

					'''simple docstring'''
					test_sync.main()





		@require_multi_gpu
		def 				__A							(  self					)							->  List[Any]:

					'''simple docstring'''
					print(f'Found {torch.cuda.device_count()} devices.'					)
					__UpperCAmelCase :   List[str]    					=  ["""torchrun""", f'--nproc_per_node={torch.cuda.device_count()}', self.test_file_path]
					with patch_environment(omp_num_threads=1					):
								execute_subprocess_async(__UpperCAmelCase			,							env=os.environ.copy()					)




