




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    ,	a_     ):



	"""simple docstring"""






	def     __a	(     self				)					->			Tuple:





								"""simple docstring"""


								lowercase__  :       int   					=							load_tool("image-segmentation"				)
								self.tool.setup()
								lowercase__  :       Any   					=							load_tool("image-segmentation"       ,      remote=snake_case__				)

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





								"""simple docstring"""


								lowercase__  :       Dict   					=							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
								lowercase__  :       str   					=							self.tool(snake_case__       ,      "cat"				)
								self.assertTrue(isinstance(snake_case__       ,      Image.Image				)				)

	def     __a	(     self				)					->			Optional[int]:





								"""simple docstring"""


								lowercase__  :       str   					=							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
								lowercase__  :       Any   					=							self.remote_tool(snake_case__       ,      "cat"				)
								self.assertTrue(isinstance(snake_case__       ,      Image.Image				)				)

	def     __a	(     self				)					->			List[Any]:





								"""simple docstring"""


								lowercase__  :       Any   					=							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
								lowercase__  :       Optional[int]   					=							self.tool(image=snake_case__       ,      label="cat"				)
								self.assertTrue(isinstance(snake_case__       ,      Image.Image				)				)







	def     __a	(     self				)					->			Dict:





								"""simple docstring"""


								lowercase__  :       Union[str, Any]   					=							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
								lowercase__  :       Optional[int]   					=							self.remote_tool(image=snake_case__       ,      label="cat"				)
								self.assertTrue(isinstance(snake_case__       ,      Image.Image				)				)







"""simple docstring"""







from collections import OrderedDict
from dataclasses import fields
from typing import Any, Tuple

import numpy as np

from .import_utils import is_torch_available






def 					_lowerCAmelCase				(					lowerCAmelCase						):







       '''simple docstring'''
       if is_torch_available():
              import torch

              if isinstance(lowerCAmelCase		,					torch.Tensor						):
                     return True

       return isinstance(lowerCAmelCase		,					np.ndarray						)





class      UpperCamelCase_       (				a_     ):



  def 						UpperCamelCase_ (					self )	->	Dict:



         """simple docstring"""





         UpperCAmelCase					=	fields(self )

         # Safety and consistency checks
         if not len(snake_case__ ):
                raise ValueError(f'''{self.__class__.__name__} has no fields.''' )

         UpperCAmelCase					=	getattr(self       ,						class_fields[0].name )
         UpperCAmelCase					=	all(getattr(self       ,						field.name ) is None for field in class_fields[1:] )

         if other_fields_are_none and isinstance(snake_case__       ,						snake_case__ ):
                for key, value in first_field.items():
                       UpperCAmelCase					=	value
         else:
                for field in class_fields:
                       UpperCAmelCase					=	getattr(self       ,						field.name )
                       if v is not None:
                              UpperCAmelCase					=	v



  def __delitem__(					self       ,						*snake_case__       ,						**snake_case__ )	->	Optional[int]:



         """simple docstring"""





         raise Exception(f'''You cannot use ``__delitem__`` on a {self.__class__.__name__} instance.''' )



  def 						UpperCamelCase_ (					self       ,						*snake_case__       ,						**snake_case__ )	->	List[str]:



         """simple docstring"""





         raise Exception(f'''You cannot use ``setdefault`` on a {self.__class__.__name__} instance.''' )



  def 						UpperCamelCase_ (					self       ,						*snake_case__       ,						**snake_case__ )	->	Optional[int]:



         """simple docstring"""





         raise Exception(f'''You cannot use ``pop`` on a {self.__class__.__name__} instance.''' )



  def 						UpperCamelCase_ (					self       ,						*snake_case__       ,						**snake_case__ )	->	Optional[int]:



         """simple docstring"""





         raise Exception(f'''You cannot use ``update`` on a {self.__class__.__name__} instance.''' )



  def __getitem__(					self       ,						snake_case__ )	->	List[Any]:



         """simple docstring"""





         if isinstance(snake_case__       ,						snake_case__ ):
                UpperCAmelCase					=	dict(self.items() )
                return inner_dict[k]
         else:
                return self.to_tuple()[k]



  def __setattr__(					self       ,						snake_case__       ,						snake_case__ )	->	Union[str, Any]:



         """simple docstring"""





         if name in self.keys() and value is not None:
                # Don't call self.__setitem__ to avoid recursion errors
                super().__setitem__(snake_case__       ,						snake_case__ )
         super().__setattr__(snake_case__       ,						snake_case__ )



  def __setitem__(					self       ,						snake_case__       ,						snake_case__ )	->	Tuple:



         """simple docstring"""





         super().__setitem__(snake_case__       ,						snake_case__ )
         # Don't call self.__setattr__ to avoid recursion errors
         super().__setattr__(snake_case__       ,						snake_case__ )



  def 						UpperCamelCase_ (					self )	->	Tuple[Any]:



         """simple docstring"""





         return tuple(self[k] for k in self.keys() )
