

import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin





class 			__lowerCAmelCase					( unittest.TestCase      ,      SCREAMING_SNAKE_CASE							):




  def   A__					(    self )  ->			Any:
        '''simple docstring'''






        _lowercase     	=load_tool('document-question-answering' )
        self.tool.setup()
        _lowercase     	=load_tool('document-question-answering'							,       remote=lowerCAmelCase )




  def   A__					(    self )  ->			Optional[int]:
        '''simple docstring'''






        _lowercase     	=load_dataset('hf-internal-testing/example-documents'							,       split='test' )
        _lowercase     	=dataset[0]['image']

        _lowercase     	=self.tool(lowerCAmelCase							,       'When is the coffee break?' )
        self.assertEqual(lowerCAmelCase							,       '11-14 to 11:39 a.m.' )




  def   A__					(    self )  ->			Any:
        '''simple docstring'''






        _lowercase     	=load_dataset('hf-internal-testing/example-documents'							,       split='test' )
        _lowercase     	=dataset[0]['image']

        _lowercase     	=self.remote_tool(lowerCAmelCase							,       'When is the coffee break?' )
        self.assertEqual(lowerCAmelCase							,       '11-14 to 11:39 a.m.' )




  def   A__					(    self )  ->			List[Any]:
        '''simple docstring'''






        _lowercase     	=load_dataset('hf-internal-testing/example-documents'							,       split='test' )
        _lowercase     	=dataset[0]['image']

        self.tool(document=lowerCAmelCase							,       question='When is the coffee break?' )




  def   A__					(    self )  ->			int:
        '''simple docstring'''






        _lowercase     	=load_dataset('hf-internal-testing/example-documents'							,       split='test' )
        _lowercase     	=dataset[0]['image']

        _lowercase     	=self.remote_tool(document=lowerCAmelCase							,       question='When is the coffee break?' )
        self.assertEqual(lowerCAmelCase							,       '11-14 to 11:39 a.m.' )





from typing import TYPE_CHECKING

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


lowercase_     =       {
    'configuration_oneformer': ['ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OneFormerConfig'],
    'processing_oneformer': ['OneFormerProcessor'],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_     =       ['OneFormerImageProcessor']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_     =       [
      'ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
      'OneFormerForUniversalSegmentation',
      'OneFormerModel',
      'OneFormerPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
  from .processing_oneformer import OneFormerProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_oneformer import OneFormerImageProcessor
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_oneformer import (
        ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        OneFormerForUniversalSegmentation,
        OneFormerModel,
        OneFormerPreTrainedModel,
    )


else:
  import sys

  lowercase_     =       _LazyModule(__name__, globals()['__file__'], _import_structure)


