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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


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






class 					__lowerCAmelCase				( UpperCAmelCase__				):
			snake_case_   :				List[str]				  =  "google/flan-t5-base"
			snake_case_   :				List[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."
			)
			snake_case_   :				int				  =  "text_qa"
			snake_case_   :				Any				  =  AutoTokenizer
			snake_case_   :				Any				  =  AutoModelForSeqaSeqLM

			snake_case_   :				List[str]				  =  ["text", "text"]
			snake_case_   :				Optional[Any]				  =  ["text"]







			def UpperCamelCase    ( self					:    Dict					,					snake_case__					:    str					,					snake_case__					:    str   ):




									"""simple docstring"""


									_UpperCAmelCase									=  QA_PROMPT.format(text=snake_case__					,					question=snake_case__   )
									return self.pre_processor(snake_case__					,					return_tensors="pt"   )







			def UpperCamelCase    ( self					:    str					,					snake_case__					:    int   ):




									"""simple docstring"""


									_UpperCAmelCase									=  self.model.generate(**snake_case__   )

									_UpperCAmelCase							,				_UpperCAmelCase									=  inputs["input_ids"].shape
									_UpperCAmelCase									=  output_ids.shape[0]

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







			def UpperCamelCase    ( self					:    Dict					,					snake_case__					:    Optional[int]   ):




									"""simple docstring"""


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








from math import exp


def 							__SCREAMING_SNAKE_CASE						(    snake_case_		):

						'''simple docstring'''


						return 8 * x - 2 * exp(-x		)


def 							__SCREAMING_SNAKE_CASE						(    snake_case_			,					snake_case_			,					snake_case_		):

						'''simple docstring'''


						_UpperCAmelCase									=  lower_bound
						_UpperCAmelCase									=  upper_bound
						for _ in range(0			,					snake_case_		):
												_UpperCAmelCase							,				_UpperCAmelCase									=  xa, xa - (f(snake_case_		) * (xa - xa)) / (f(snake_case_		) - f(snake_case_		))
						return xa


if __name__ == "__main__":
				print(f"""Example: {secant_method(1, 3, 2)}""")




