




from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any

class 	_lowerCamelCase  :

      """simple docstring"""

      lowerCAmelCase__     :	List[str]      =   ("_front", "_back", "_len")

      @dataclass
      class 	_lowerCamelCase  :

            """simple docstring"""

            lowerCAmelCase__     :	Any      =   None
            lowerCAmelCase__     :	Deque._Node | None      =   None
            lowerCAmelCase__     :	Deque._Node | None      =   None







      class 	_lowerCamelCase  :

            """simple docstring"""

            lowerCAmelCase__     :	Union[str, Any]      =   ("_cur",)







            def __init__(       self   :	Optional[Any]	,    snake_case   :	Deque._Node | None			):
               __UpperCamelCase											=  cur







            def __iter__(       self   :	List[str]			):
               return self







            def  snake_case		(       self   :	Any			):
               if self._cur is None:
                  # finished iterating
                  raise StopIteration
               __UpperCamelCase											=  self._cur.val
               __UpperCamelCase											=  self._cur.next_node

               return val







      def __init__(       self   :	List[str]	,    snake_case   :	Iterable[Any] | None = None			):
         __UpperCamelCase											=  None
         __UpperCamelCase											=  None
         __UpperCamelCase											=  0

         if iterable is not None:
            # append every value to the deque
            for val in iterable:
               self.append(snake_case			)







      def  snake_case		(       self   :	Union[str, Any]	,    snake_case   :	Any			):
         __UpperCamelCase											=  self._Node(snake_case	,    snake_case	,    snake_case			)
         if self.is_empty():
            # front = back
            __UpperCamelCase											=  __UpperCamelCase											=  node
            __UpperCamelCase											=  1
         else:
            # connect nodes
            __UpperCamelCase											=  node
            __UpperCamelCase											=  self._back
            __UpperCamelCase											=  node  # assign new back to the new node

            self._len += 1

            # make sure there were no errors
            assert not self.is_empty(), "Error on appending value."







      def  snake_case		(       self   :	Tuple	,    snake_case   :	Any			):
         __UpperCamelCase											=  self._Node(snake_case	,    snake_case	,    snake_case			)
         if self.is_empty():
            # front = back
            __UpperCamelCase											=  __UpperCamelCase											=  node
            __UpperCamelCase											=  1
         else:
            # connect nodes
            __UpperCamelCase											=  self._front
            __UpperCamelCase											=  node
            __UpperCamelCase											=  node  # assign new front to the new node

            self._len += 1

            # make sure there were no errors
            assert not self.is_empty(), "Error on appending value."







      def  snake_case		(       self   :	Optional[int]	,    snake_case   :	Iterable[Any]			):
         for val in iterable:
            self.append(snake_case			)







      def  snake_case		(       self   :	List[str]	,    snake_case   :	Iterable[Any]			):
         for val in iterable:
            self.appendleft(snake_case			)







      def  snake_case		(       self   :	int			):
         assert not self.is_empty(), "Deque is empty."

         __UpperCamelCase											=  self._back
         __UpperCamelCase											=  self._back.prev_node  # set new back
         # drop the last node - python will deallocate memory automatically
         __UpperCamelCase											=  None

         self._len -= 1

         return topop.val







      def  snake_case		(       self   :	List[Any]			):
         assert not self.is_empty(), "Deque is empty."

         __UpperCamelCase											=  self._front
         __UpperCamelCase											=  self._front.next_node  # set new front and drop the first node
         __UpperCamelCase											=  None

         self._len -= 1

         return topop.val







      def  snake_case		(       self   :	Optional[Any]			):
         return self._front is None







      def __len__(       self   :	Optional[int]			):
         return self._len







      def __eq__(       self   :	Optional[int]	,    snake_case   :	object			):

         if not isinstance(snake_case	,    snake_case			):
            return NotImplemented

         __UpperCamelCase											=  self._front
         __UpperCamelCase											=  other._front

         # if the length of the dequeues are not the same, they are not equal
         if len(self			) != len(snake_case			):
            return False

         while me is not None and oth is not None:
            # compare every value
            if me.val != oth.val:
               return False
            __UpperCamelCase											=  me.next_node
            __UpperCamelCase											=  oth.next_node

         return True







      def __iter__(       self   :	Dict			):
         return Deque._Iterator(self._front			)







      def __repr__(       self   :	Optional[int]			):
         __UpperCamelCase											=  []
         __UpperCamelCase											=  self._front
         while aux is not None:
            # append the values in a list to display
            values_list.append(aux.val			)
            __UpperCamelCase											=  aux.next_node

         return F"[{', '.join(repr(snake_case			) for val in values_list			)}]"


if __name__ == "__main__":
 import doctest

 doctest.testmod()












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

class 	_lowerCamelCase  (     _SCREAMING_SNAKE_CASE				):

      """simple docstring"""

      lowerCAmelCase__     :	Union[str, Any]      =   "google/flan-t5-base"
      lowerCAmelCase__     :	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."
      )
      lowerCAmelCase__     :	List[Any]      =   "text_qa"
      lowerCAmelCase__     :	int      =   AutoTokenizer
      lowerCAmelCase__     :	Optional[Any]      =   AutoModelForSeqaSeqLM

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







      def  snake_case		(       self   :	Union[str, Any]	,    snake_case   :	str	,    snake_case   :	str			):
          __UpperCamelCase											=  QA_PROMPT.format(text=snake_case	,    question=snake_case			)
          return self.pre_processor(snake_case	,    return_tensors='''pt'''			)







      def  snake_case		(       self   :	Any	,    snake_case   :	Optional[int]			):
          __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  snake_case		(       self   :	Tuple	,    snake_case   :	Optional[Any]			):
          return self.pre_processor.decode(snake_case	,    skip_special_tokens=snake_case	,    clean_up_tokenization_spaces=snake_case			)






