



"""simple docstring"""







import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin





class   UpperCamelCase	(     unittest.TestCase					,   snake_case       ):




	"""simple docstring"""






	def    lowerCamelCase__					(     self   ):
			_lowercase				: Tuple     =   load_tool("""document-question-answering"""   )
			self.tool.setup()
			_lowercase				: Optional[Any]     =   load_tool("""document-question-answering"""				,remote=UpperCAmelCase_   )






	def    lowerCamelCase__					(     self   ):
			_lowercase				: Dict     =   load_dataset("""hf-internal-testing/example-documents"""				,split="""test"""   )
			_lowercase				: List[Any]     =   dataset[0]["""image"""]

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






	def    lowerCamelCase__					(     self   ):
			_lowercase				: Optional[int]     =   load_dataset("""hf-internal-testing/example-documents"""				,split="""test"""   )
			_lowercase				: str     =   dataset[0]["""image"""]

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






	def    lowerCamelCase__					(     self   ):
			_lowercase				: List[Any]     =   load_dataset("""hf-internal-testing/example-documents"""				,split="""test"""   )
			_lowercase				: Optional[int]     =   dataset[0]["""image"""]

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






	def    lowerCamelCase__					(     self   ):
			_lowercase				: Any     =   load_dataset("""hf-internal-testing/example-documents"""				,split="""test"""   )
			_lowercase				: List[str]     =   dataset[0]["""image"""]

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




"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__   			=      logging.get_logger(__name__)

lowercase__   			=      {
    'tau/splinter-base': 'https://huggingface.co/tau/splinter-base/resolve/main/config.json',
    'tau/splinter-base-qass': 'https://huggingface.co/tau/splinter-base-qass/resolve/main/config.json',
    'tau/splinter-large': 'https://huggingface.co/tau/splinter-large/resolve/main/config.json',
    'tau/splinter-large-qass': 'https://huggingface.co/tau/splinter-large-qass/resolve/main/config.json',
    # See all Splinter models at https://huggingface.co/models?filter=splinter
}




class   __snake_case			(	__lowerCAmelCase							):
      a__								=						"""splinter"""



      def __init__(		self       ,     lowercase=3_05_22       ,     lowercase=7_68       ,     lowercase=12       ,     lowercase=12       ,     lowercase=30_72       ,     lowercase="gelu"       ,     lowercase=0.1       ,     lowercase=0.1       ,     lowercase=5_12       ,     lowercase=2       ,     lowercase=0.02       ,     lowercase=1e-12       ,     lowercase=True       ,     lowercase=0       ,     lowercase=1_04       ,     **lowercase       ,     )      ->     Union[str, Any]:





        '''simple docstring'''





        super().__init__(pad_token_id=lowercase       ,     **lowercase)

        a__:	Dict     				=      vocab_size
        a__:	Dict     				=      max_position_embeddings
        a__:	Dict     				=      hidden_size
        a__:	int     				=      num_hidden_layers
        a__:	str     				=      num_attention_heads
        a__:	Dict     				=      intermediate_size
        a__:	Tuple     				=      hidden_act
        a__:	Optional[Any]     				=      hidden_dropout_prob
        a__:	List[Any]     				=      attention_probs_dropout_prob
        a__:	Tuple     				=      initializer_range
        a__:	str     				=      type_vocab_size
        a__:	Optional[Any]     				=      layer_norm_eps
        a__:	Any     				=      use_cache
        a__:	List[Any]     				=      question_token_id


