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#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


UpperCamelCase :				List[str]						    =       """Here is a text containing a lot of information: '''{text}'''.

Can you answer this question about the text: '{question}'"""

class     __snake_case							(      __lowerCamelCase):
					SCREAMING_SNAKE_CASE_		:					str 				= "google/flan-t5-base"
					SCREAMING_SNAKE_CASE_		:					Union[str, Any] 				= (
					    "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_		:					Any 				= "text_qa"
					SCREAMING_SNAKE_CASE_		:					int 				= AutoTokenizer
					SCREAMING_SNAKE_CASE_		:					List[Any] 				= AutoModelForSeqaSeqLM

					SCREAMING_SNAKE_CASE_		:					Tuple 				= ["text", "text"]
					SCREAMING_SNAKE_CASE_		:					List[Any] 				= ["text"]
					def   a (	self					:	Union[str, Any]  ,			_lowerCAmelCase					:	Union[str, Any]  ,			_lowerCAmelCase					:	str     )       ->				Optional[Any]:



											'''simple docstring'''





											__magic_name__ 		=			QA_PROMPT.format(text=_lowerCAmelCase  ,			question=_lowerCAmelCase     )
											return self.pre_processor(_lowerCAmelCase  ,			return_tensors='pt'     )
					def   a (	self					:	int  ,			_lowerCAmelCase					:	Dict     )       ->				int:



											'''simple docstring'''





											__magic_name__ 		=			self.model.generate(**_lowerCAmelCase     )

											__magic_name__ 		=			inputs["""input_ids"""].shape
											__magic_name__ 		=			output_ids.shape[0]

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







					def   a (	self					:	str  ,			_lowerCAmelCase					:	int     )       ->				Any:



											'''simple docstring'''





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





def 							UpperCamelCase_  (				__snake_case			:						int     )->      bool:




						'''simple docstring'''
						if not isinstance(__snake_case	,			__snake_case     ):
												__magic_name__ 		=			F'''Input value of [number={number}] must be an integer'''
												raise TypeError(__snake_case     )
						if number < 0 or number % 2 == 1:
												return False
						__magic_name__ 		=			int(number**0.5     )
						return number == number_sqrt * (number_sqrt + 1)


if __name__ == "__main__":
					import doctest

					doctest.testmod()

