





"""simple docstring"""
from typing import TYPE_CHECKING

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


__UpperCamelCase    :	Optional[int]						=     {
    '''configuration_nystromformer''': ['''NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NystromformerConfig'''],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __UpperCamelCase    :	int						=     [
           '''NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''NystromformerForMaskedLM''',
           '''NystromformerForMultipleChoice''',
           '''NystromformerForQuestionAnswering''',
           '''NystromformerForSequenceClassification''',
           '''NystromformerForTokenClassification''',
           '''NystromformerLayer''',
           '''NystromformerModel''',
           '''NystromformerPreTrainedModel''',
       ]


if TYPE_CHECKING:
       from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_nystromformer import (
                  NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  NystromformerForMaskedLM,
                  NystromformerForMultipleChoice,
                  NystromformerForQuestionAnswering,
                  NystromformerForSequenceClassification,
                  NystromformerForTokenClassification,
                  NystromformerLayer,
                  NystromformerModel,
                  NystromformerPreTrainedModel,
              )


else:
       import sys

       __UpperCamelCase    :	List[str]						=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)












"""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__     ):



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   load_tool('image-question-answering'    )
  self.tool.setup()
  lowerCAmelCase													=   load_tool('image-question-answering'							,					remote=_snake_case    )



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
  lowerCAmelCase													=   self.tool(_snake_case							,					'How many cats are sleeping on the couch?'    )
  self.assertEqual(_snake_case							,					'2'    )



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
  lowerCAmelCase													=   self.remote_tool(_snake_case							,					'How many cats are sleeping on the couch?'    )
  self.assertEqual(_snake_case							,					'2'    )



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
  lowerCAmelCase													=   self.tool(image=_snake_case							,					question='How many cats are sleeping on the couch?'    )
  self.assertEqual(_snake_case							,					'2'    )



 def       UpperCamelCase__     (    self    ):







  """simple docstring"""






  lowerCAmelCase													=   Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'    )
  lowerCAmelCase													=   self.remote_tool(image=_snake_case							,					question='How many cats are sleeping on the couch?'    )
  self.assertEqual(_snake_case							,					'2'    )





