


'''simple docstring'''



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       a							(						unittest.TestCase      ,    _a			):


     """simple docstring"""






     def 					lowerCamelCase__					(							self	:						List[Any]     )		->				Tuple:
          __UpperCAmelCase      :					Tuple    				=     load_tool('''image-question-answering'''     )
          self.tool.setup()
          __UpperCAmelCase      :					List[str]    				=     load_tool('''image-question-answering'''				,					remote=snake_case     )

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

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

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






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



'''simple docstring'''



import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

__UpperCAmelCase     :Tuple												=  [(1,)]




def       _a      (		):





     '''simple docstring'''






     __UpperCAmelCase      :					Any    				=     bool(os.getenv('''RUN_SLOW'''     ,   0    )    )
     if run_slow:
          assert True
     else:
          assert False, "should have been skipped"




def       _a      (		):





     '''simple docstring'''






     __UpperCAmelCase      :					str    				=     bool(os.getenv('''RUN_SLOW'''     ,   0    )    )
     if run_slow and torch_device == "cuda":
          assert True
     else:
          assert False, "should have been skipped"



@require_torch
class       a							(						unittest.TestCase			):


     """simple docstring"""






     @slow
     @require_torch_gpu
     def 					lowerCamelCase__					(							self	:						Tuple     )		->				str:
          check_slow_torch_cuda()

     @require_torch_gpu
     @slow
     def 					lowerCamelCase__					(							self	:						Any     )		->				List[Any]:
          check_slow_torch_cuda()






     @parameterized.expand(snake_case     )
     @slow
     def 					lowerCamelCase__					(							self	:						Union[str, Any]				,					snake_case	:						int=None     )		->				Union[str, Any]:
          check_slow()




@slow
@require_torch_gpu
def       _a      (		):





     '''simple docstring'''






     check_slow_torch_cuda()




@require_torch_gpu
@slow
def       _a      (		):





     '''simple docstring'''






     check_slow_torch_cuda()




@slow
@pytest.mark.parametrize('''param'''     ,   [1]    )
def       _a      (		_lowercase   :      Union[str, Any]    ):





     '''simple docstring'''






     check_slow()




@pytest.mark.parametrize('''param'''     ,   [1]    )
@slow
def       _a      (		_lowercase   :      Dict    ):





     '''simple docstring'''






     check_slow()