



'''simple docstring'''

# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# 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


_A					:     Dict      ='''Here is a text containing a lot of information: \'\'\'{text}\'\'\'.

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



class 		lowerCamelCase__   (    A  ):




					'''simple docstring'''



					A_         =    """google/flan-t5-base"""
					A_         =    (
					    """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."""
					)
					A_         =    """text_qa"""
					A_         =    AutoTokenizer
					A_         =    AutoModelForSeqaSeqLM

					A_         =    ["""text""", """text"""]
					A_         =    ["""text"""]




					def     __UpperCAmelCase  (	self					:						List[Any]  ,	UpperCamelCase_					:						str  ,	UpperCamelCase_					:						str       )	->							Any:



						'''simple docstring'''





						_lowercase       :							int  	=		QA_PROMPT.format(text=UpperCamelCase_  ,	question=UpperCamelCase_       )
						return self.pre_processor(UpperCamelCase_  ,	return_tensors='pt'       )




					def     __UpperCAmelCase  (	self					:						Optional[int]  ,	UpperCamelCase_					:						str       )	->							str:



						'''simple docstring'''





						_lowercase       :							str  	=		self.model.generate(**UpperCamelCase_       )

						_lowercase	,     _lowercase       :							List[str]  	=		inputs['input_ids'].shape
						_lowercase       :							List[str]  	=		output_ids.shape[0]

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




					def     __UpperCAmelCase  (	self					:						Optional[Any]  ,	UpperCamelCase_					:						Optional[int]       )	->							str:



						'''simple docstring'''





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





'''simple docstring'''

from __future__ import annotations



class 		lowerCamelCase__   :




					'''simple docstring'''



					def __init__(	self					:						str  ,	UpperCamelCase_					:						int       )	->							None:



						'''simple docstring'''





						_lowercase       :							Any  	=		value
						_lowercase       :							Node | None  	=		None
						_lowercase       :							Node | None  	=		None






class 		lowerCamelCase__   :




					'''simple docstring'''



					A_         =    42




					def __init__(	self					:						List[Any]       )	->							None:



						'''simple docstring'''





						_lowercase       :							Optional[int]  	=		0




					def     __UpperCAmelCase  (	self					:						str  ,	UpperCamelCase_					:						Node | None  ,	UpperCamelCase_					:						int       )	->							None:



						'''simple docstring'''





						if node is None:
							return

						if path_sum == self.target:
							self.paths += 1

						if node.left:
							self.depth_first_search(node.left  ,	path_sum + node.left.value       )
						if node.right:
							self.depth_first_search(node.right  ,	path_sum + node.right.value       )




					def     __UpperCAmelCase  (	self					:						Optional[int]  ,	UpperCamelCase_					:						Node | None  ,	UpperCamelCase_					:						int | None = None       )	->							int:



						'''simple docstring'''





						if node is None:
							return 0
						if target is not None:
							_lowercase       :							Union[str, Any]  	=		target

						self.depth_first_search(UpperCamelCase_  ,	node.value       )
						self.path_sum(node.left       )
						self.path_sum(node.right       )

						return self.paths


if __name__ == "__main__":
		import doctest

		doctest.testmod()
