
"""simple docstring"""


from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


lowerCAmelCase			=		'Here is a text containing a lot of information: \'\'\'{text}\'\'\'.\n\nCan you answer this question about the text: \'{question}\''

class 					A_			(  UpperCAmelCase_     ):



							"""simple docstring"""






							SCREAMING_SNAKE_CASE_			   =     """google/flan-t5-base"""
							SCREAMING_SNAKE_CASE_			   =     (
							    """This is a tool that answers questions related to a text. It takes two arguments named `text`, which is the """
							    """text where to find the answer, and `question`, which is the question, and returns the answer to the question."""
							)
							SCREAMING_SNAKE_CASE_			   =     """text_qa"""
							SCREAMING_SNAKE_CASE_			   =     AutoTokenizer
							SCREAMING_SNAKE_CASE_			   =     AutoModelForSeqaSeqLM

							SCREAMING_SNAKE_CASE_			   =     ["""text""", """text"""]
							SCREAMING_SNAKE_CASE_			   =     ["""text"""]





							def    UpperCAmelCase__							(						self						:Tuple  ,							lowerCamelCase_						:Optional[Any]  ,							lowerCamelCase_						:Dict ):





										"""simple docstring"""

										lowerCamelCase__			:  Optional[int]  =QA_PROMPT.format(text=__UpperCamelCase  ,							question=__UpperCamelCase )
										return self.pre_processor(__UpperCamelCase  ,							return_tensors='pt' )





							def    UpperCAmelCase__							(						self						:List[str]  ,							lowerCamelCase_						:int ):





										"""simple docstring"""

										lowerCamelCase__			:  Optional[int]  =self.model.generate(**__UpperCamelCase )

										lowerCamelCase__ ,       lowerCamelCase__			:  Optional[int]  =inputs['input_ids'].shape
										lowerCamelCase__			:  List[Any]  =output_ids.shape[0]

										return output_ids.reshape(__UpperCamelCase  ,							out_b // in_b  ,							*output_ids.shape[1:] )[0][0]





							def    UpperCAmelCase__							(						self						:List[Any]  ,							lowerCamelCase_						:Dict ):





										"""simple docstring"""

										return self.pre_processor.decode(__UpperCamelCase  ,							skip_special_tokens=__UpperCamelCase  ,							clean_up_tokenization_spaces=__UpperCamelCase )

"""simple docstring"""


import unittest
import warnings

from datasets.utils import experimental






@experimental
def      lowerCAmelCase_     (	)     ->Optional[Any]:
			return "success"

class 					A_			(  unittest.TestCase     ):



							"""simple docstring"""






							def    UpperCAmelCase__							(						self						:int ):





										"""simple docstring"""

										with warnings.catch_warnings(record=lowerCamelCase_ ) as w:
													warnings.simplefilter('always' )
													self.assertEqual(dummy_function()  ,							'success' )
										self.assertEqual(len(lowerCamelCase_ )  ,							1 )