

'''simple docstring'''



import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin







class 		lowerCAmelCase__     (   unittest.TestCase				,      a      ):



 """simple docstring"""



 def    UpperCAmelCase__	(	self      : Optional[int]    )						->				Any:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   load_tool("""document-question-answering"""    )
      self.tool.setup()
      __SCREAMING_SNAKE_CASE						     =   load_tool("""document-question-answering"""      ,							remote=__SCREAMING_SNAKE_CASE    )
 def    UpperCAmelCase__	(	self      : List[str]    )						->				Optional[Any]:


      """simple docstring"""




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

      __SCREAMING_SNAKE_CASE						     =   self.tool(__SCREAMING_SNAKE_CASE      ,							"""When is the coffee break?"""    )
      self.assertEqual(__SCREAMING_SNAKE_CASE      ,							"""11-14 to 11:39 a.m."""    )
 def    UpperCAmelCase__	(	self      : List[Any]    )						->				Dict:


      """simple docstring"""




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

      __SCREAMING_SNAKE_CASE						     =   self.remote_tool(__SCREAMING_SNAKE_CASE      ,							"""When is the coffee break?"""    )
      self.assertEqual(__SCREAMING_SNAKE_CASE      ,							"""11-14 to 11:39 a.m."""    )
 def    UpperCAmelCase__	(	self      : Optional[int]    )						->				Optional[Any]:


      """simple docstring"""




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

      self.tool(document=__SCREAMING_SNAKE_CASE      ,							question="""When is the coffee break?"""    )


 def    UpperCAmelCase__	(	self      : Any    )						->				Optional[int]:


      """simple docstring"""




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

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









'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase				: Union[str, Any]         =  logging.get_logger(__name__)

UpperCAmelCase				: Optional[int]         =  {
    'bert-base-uncased': 'https://huggingface.co/bert-base-uncased/resolve/main/config.json',
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}







class 		lowerCAmelCase__     (   a      ):



 """simple docstring"""



 lowerCAmelCase__						      =   "qdqbert"
 def __init__(	self      : str      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=30_522      ,							__SCREAMING_SNAKE_CASE      : str=768      ,							__SCREAMING_SNAKE_CASE      : Union[str, Any]=12      ,							__SCREAMING_SNAKE_CASE      : Any=12      ,							__SCREAMING_SNAKE_CASE      : Any=3_072      ,							__SCREAMING_SNAKE_CASE      : List[str]="gelu"      ,							__SCREAMING_SNAKE_CASE      : Any=0.1      ,							__SCREAMING_SNAKE_CASE      : Any=0.1      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=512      ,							__SCREAMING_SNAKE_CASE      : List[str]=2      ,							__SCREAMING_SNAKE_CASE      : Dict=0.02      ,							__SCREAMING_SNAKE_CASE      : List[str]=1E-12      ,							__SCREAMING_SNAKE_CASE      : str=True      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=1      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=0      ,							__SCREAMING_SNAKE_CASE      : Dict=2      ,							**__SCREAMING_SNAKE_CASE      : Union[str, Any]      ,							)						->				str:


      """simple docstring"""




      super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE      ,							bos_token_id=__SCREAMING_SNAKE_CASE      ,							eos_token_id=__SCREAMING_SNAKE_CASE      ,							**__SCREAMING_SNAKE_CASE    )

      __SCREAMING_SNAKE_CASE						     =   vocab_size
      __SCREAMING_SNAKE_CASE						     =   max_position_embeddings
      __SCREAMING_SNAKE_CASE						     =   hidden_size
      __SCREAMING_SNAKE_CASE						     =   num_hidden_layers
      __SCREAMING_SNAKE_CASE						     =   num_attention_heads
      __SCREAMING_SNAKE_CASE						     =   intermediate_size
      __SCREAMING_SNAKE_CASE						     =   hidden_act
      __SCREAMING_SNAKE_CASE						     =   hidden_dropout_prob
      __SCREAMING_SNAKE_CASE						     =   attention_probs_dropout_prob
      __SCREAMING_SNAKE_CASE						     =   initializer_range
      __SCREAMING_SNAKE_CASE						     =   type_vocab_size
      __SCREAMING_SNAKE_CASE						     =   layer_norm_eps
      __SCREAMING_SNAKE_CASE						     =   use_cache






