code: 
  
  
  import unittest
  
  from datasets import load_dataset
  
  from transformers import load_tool
  
  from .test_tools_common import ToolTesterMixin
  
  
  
  class 			a      (      unittest.TestCase      ,UpperCamelCase_   ):
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Tuple:
  						'''simple docstring'''
  
  
  						A__     :							Optional[int]   				=load_tool('''document-question-answering'''							)
  						self.tool.setup()
  						A__     :							str   				=load_tool('''document-question-answering'''	,     remote=__UpperCamelCase							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Tuple:
  						'''simple docstring'''
  
  
  						A__     :							Dict   				=load_dataset('''hf-internal-testing/example-documents'''	,     split='''test'''							)
  						A__     :							List[str]   				=dataset[0]['''image''']
  
  						A__     :							Tuple   				=self.tool(__UpperCamelCase	,     '''When is the coffee break?'''							)
  						self.assertEqual(__UpperCamelCase	,     '''11-14 to 11:39 a.m.'''							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			List[str]:
  						'''simple docstring'''
  
  
  						A__     :							str   				=load_dataset('''hf-internal-testing/example-documents'''	,     split='''test'''							)
  						A__     :							str   				=dataset[0]['''image''']
  
  						A__     :							Tuple   				=self.remote_tool(__UpperCamelCase	,     '''When is the coffee break?'''							)
  						self.assertEqual(__UpperCamelCase	,     '''11-14 to 11:39 a.m.'''							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Tuple:
  						'''simple docstring'''
  
  
  						A__     :							Tuple   				=load_dataset('''hf-internal-testing/example-documents'''	,     split='''test'''							)
  						A__     :							Optional[int]   				=dataset[0]['''image''']
  
  						self.tool(document=__UpperCamelCase	,     question='''When is the coffee break?'''							)
  
  
  
  
  
  
  		def       lowerCAmelCase_  (  self							)->			Optional[int]:
  						'''simple docstring'''
  
  
  						A__     :							Optional[int]   				=load_dataset('''hf-internal-testing/example-documents'''	,     split='''test'''							)
  						A__     :							List[Any]   				=dataset[0]['''image''']
  
  						A__     :							Tuple   				=self.remote_tool(document=__UpperCamelCase	,     question='''When is the coffee break?'''							)
  						self.assertEqual(__UpperCamelCase	,     '''11-14 to 11:39 a.m.'''							)
  
  
  
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  __lowerCamelCase       :       str				   =			{
      "configuration_align": [
          "ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP",
          "AlignConfig",
          "AlignTextConfig",
          "AlignVisionConfig",
      ],
      "processing_align": ["AlignProcessor"],
  }
  
  try:
  						if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  						pass
  else:
  						__lowerCamelCase       :       Dict				   =			[
  						    "ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST",
  						    "AlignModel",
  						    "AlignPreTrainedModel",
  						    "AlignTextModel",
  						    "AlignVisionModel",
  						]
  
  if TYPE_CHECKING:
  						from .configuration_align import (
  						    ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
  						    AlignConfig,
  						    AlignTextConfig,
  						    AlignVisionConfig,
  						)
  						from .processing_align import AlignProcessor
  
  						try:
  												if not is_torch_available():
  																		raise OptionalDependencyNotAvailable()
  						except OptionalDependencyNotAvailable:
  												pass
  						else:
  												from .modeling_align import (
  												    ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
  												    AlignModel,
  												    AlignPreTrainedModel,
  												    AlignTextModel,
  												    AlignVisionModel,
  												)
  
  else:
  						import sys
  
  						__lowerCamelCase       :       List[str]				   =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  