

'''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


_lowerCamelCase	 =			"""Here is a text containing a lot of information: '''{text}'''.

Can you answer this question about the text: '{question}'"""
class  _snake_case						(__SCREAMING_SNAKE_CASE):
			__A   :     Optional[Any]          ="google/flan-t5-base"
			__A   :     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."
			)
			__A   :     str          ="text_qa"
			__A   :     Union[str, Any]          =AutoTokenizer
			__A   :     Optional[Any]          =AutoModelForSeqaSeqLM

			__A   :     Tuple          =["text", "text"]
			__A   :     Any          =["text"]






			def 						UpperCamelCase__				(   self       ,_snake_case       ,_snake_case			):
				UpperCAmelCase_			:	str      =   QA_PROMPT.format(text=_snake_case       ,question=_snake_case			)
				return self.pre_processor(_snake_case       ,return_tensors="pt"			)






			def 						UpperCamelCase__				(   self       ,_snake_case			):
				UpperCAmelCase_			:	Any      =   self.model.generate(**_snake_case			)

				UpperCAmelCase_ , UpperCAmelCase_			:	int      =   inputs["input_ids"].shape
				UpperCAmelCase_			:	int      =   output_ids.shape[0]

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






			def 						UpperCamelCase__				(   self       ,_snake_case			):
				return self.pre_processor.decode(_snake_case       ,skip_special_tokens=_snake_case       ,clean_up_tokenization_spaces=_snake_case			)







'''simple docstring'''
def       a__    (  _SCREAMING_SNAKE_CASE					:    list     ,							_SCREAMING_SNAKE_CASE					:    int							)			-> int:


	"""simple docstring"""





	for index, item in enumerate(_SCREAMING_SNAKE_CASE							):
		if item == target:
			return index
	return -1


def       a__    (  _SCREAMING_SNAKE_CASE					:    list     ,							_SCREAMING_SNAKE_CASE					:    int     ,							_SCREAMING_SNAKE_CASE					:    int     ,							_SCREAMING_SNAKE_CASE					:    int							)			-> int:


	"""simple docstring"""





	if not (0 <= high < len(_SCREAMING_SNAKE_CASE							) and 0 <= low < len(_SCREAMING_SNAKE_CASE							)):
		raise Exception("Invalid upper or lower bound!"							)
	if high < low:
		return -1
	if sequence[low] == target:
		return low
	if sequence[high] == target:
		return high
	return rec_linear_search(_SCREAMING_SNAKE_CASE     ,							low + 1     ,							high - 1     ,							_SCREAMING_SNAKE_CASE							)


if __name__ == "__main__":
					_lowerCamelCase	 =			input("""Enter numbers separated by comma:\n""").strip()
					_lowerCamelCase	 =			[int(item.strip()) for item in user_input.split(""",""")]

					_lowerCamelCase	 =			int(input("""Enter a single number to be found in the list:\n""").strip())
					_lowerCamelCase	 =			linear_search(sequence, target)
					if result != -1:
										print(f"""linear_search({sequence}, {target}) = {result}""")
					else:
										print(f"""{target} was not found in {sequence}""")




