
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   __lowerCAmelCase		(		unittest.TestCase	,	lowerCAmelCase_ ):



      """simple docstring"""







      def 						snake_case_     ( self						:    Union[str, Any]			):
          __lowercase						:     Optional[Any]		      =    load_tool('''image-question-answering'''			)
          self.tool.setup()
          __lowercase						:     List[Any]		      =    load_tool('''image-question-answering'''			,    remote=_snake_case			)




      def 						snake_case_     ( self						:    Optional[Any]			):
          __lowercase						:     List[str]		      =    Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''			)			) / '''000000039769.png'''			)
          __lowercase						:     str		      =    self.tool(_snake_case			,    '''How many cats are sleeping on the couch?'''			)
          self.assertEqual(_snake_case			,    '''2'''			)




      def 						snake_case_     ( self						:    List[Any]			):
          __lowercase						:     Union[str, Any]		      =    Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''			)			) / '''000000039769.png'''			)
          __lowercase						:     Union[str, Any]		      =    self.remote_tool(_snake_case			,    '''How many cats are sleeping on the couch?'''			)
          self.assertEqual(_snake_case			,    '''2'''			)




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




      def 						snake_case_     ( self						:    str			):
          __lowercase						:     List[str]		      =    Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''			)			) / '''000000039769.png'''			)
          __lowercase						:     Dict		      =    self.remote_tool(image=_snake_case			,    question='''How many cats are sleeping on the couch?'''			)
          self.assertEqual(_snake_case			,    '''2'''			)




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowerCAmelCase   :     Optional[int]      =						{"configuration_vit_hybrid": ["VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTHybridConfig"]}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowerCAmelCase   :     List[Any]      =						[
     "VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST",
     "ViTHybridForImageClassification",
     "ViTHybridModel",
     "ViTHybridPreTrainedModel",
 ]

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __lowerCAmelCase   :     Tuple      =						["ViTHybridImageProcessor"]


if TYPE_CHECKING:
 from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_vit_hybrid import (
      VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
      ViTHybridForImageClassification,
      ViTHybridModel,
      ViTHybridPreTrainedModel,
  )

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
 import sys

 __lowerCAmelCase   :     Tuple      =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


