"""simple docstring"""







from functools import lru_cache
@lru_cache
def     __UpperCAmelCase							(       UpperCAmelCase_       :							int    )				->     int:

	'''simple docstring'''





	if not isinstance(UpperCAmelCase_     ,				UpperCAmelCase_    ):
		raise TypeError('k must be an integer.'    )
	if k < 0:
		raise ValueError('k integer must be greater or equal to zero.'    )
	if k == 0:
		return 0
	elif k == 1:
		return 1
	else:
		return fibonacci(k - 1    ) + fibonacci(k - 2    )
def     __UpperCAmelCase							(       UpperCAmelCase_       :							list     ,				UpperCAmelCase_       :							int    )				->     int:

	'''simple docstring'''





	__snake_case     :				int 						=					len(UpperCAmelCase_    )
	# Find m such that F_m >= n where F_i is the i_th fibonacci number.
	__snake_case     :				str 						=					0
	while True:
		if fibonacci(UpperCAmelCase_    ) >= len_list:
			__snake_case     :				Any 						=					i
			break
		i += 1
	__snake_case     :				List[str] 						=					0
	while fibb_k > 0:
		__snake_case     :				Tuple 						=					min(
		    offset + fibonacci(fibb_k - 1    )     ,				len_list - 1    )  # Prevent out of range
		__snake_case     :				Dict 						=					arr[index_k]
		if item_k_1 == val:
			return index_k
		elif val < item_k_1:
			fibb_k -= 1
		elif val > item_k_1:
			offset += fibonacci(fibb_k - 1    )
			fibb_k -= 2
	else:
		return -1


if __name__ == "__main__":
	import doctest

	doctest.testmod()






"""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	:	Union[str, Any]=					"Here is a text containing a lot of information: '''{text}'''.\n\nCan you answer this question about the text: '{question}'"

class 						UpperCamelCase     (       lowercase		):
				UpperCAmelCase							: str       =						"""google/flan-t5-base"""
				UpperCAmelCase							: int       =						(
				    """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."""
				)
				UpperCAmelCase							: Dict       =						"""text_qa"""
				UpperCAmelCase							: Dict       =						AutoTokenizer
				UpperCAmelCase							: Optional[Any]       =						AutoModelForSeqaSeqLM

				UpperCAmelCase							: List[str]       =						["""text""", """text"""]
				UpperCAmelCase							: Any       =						["""text"""]



				def    _lowercase	(self							: Tuple      ,    _A							: str      ,    _A							: str)       ->      Tuple:
					__snake_case     :				List[Any] 						=					QA_PROMPT.format(text=_A      ,    question=_A)
					return self.pre_processor(_A      ,    return_tensors='pt')



				def    _lowercase	(self							: Tuple      ,    _A							: Optional[Any])       ->      List[Any]:
					__snake_case     :				List[Any] 						=					self.model.generate(**_A)

					__snake_case						,							__snake_case     :				Any 						=					inputs['input_ids'].shape
					__snake_case     :				Any 						=					output_ids.shape[0]

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






				def    _lowercase	(self							: Optional[int]      ,    _A							: int)       ->      str:
					return self.pre_processor.decode(_A      ,    skip_special_tokens=_A      ,    clean_up_tokenization_spaces=_A)





