"""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


UpperCamelCase_    :    Optional[int]											=						"""Here is a text containing a lot of information: '''{text}'''.

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


class      _lowercase						(				__lowerCamelCase					):
				lowerCamelCase__									=    'google/flan-t5-base'
				lowerCamelCase__									=    (
				    '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__									=    'text_qa'
				lowerCamelCase__									=    AutoTokenizer
				lowerCamelCase__									=    AutoModelForSeqaSeqLM

				lowerCamelCase__									=    ['text', 'text']
				lowerCamelCase__									=    ['text']

				def     A	(       self    :      List[str]    ,      _lowercase    :      str    ,      _lowercase    :      str       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						QA_PROMPT.format(text=_lowercase    ,      question=_lowercase       )
										return self.pre_processor(_lowercase    ,      return_tensors="""pt"""       )

				def     A	(       self    :      List[str]    ,      _lowercase    :      Optional[Any]       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						self.model.generate(**_lowercase       )

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

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

				def     A	(       self    :      Optional[int]    ,      _lowercase    :      Dict       ):


										'''simple docstring'''
										return self.pre_processor.decode(_lowercase    ,      skip_special_tokens=_lowercase    ,      clean_up_tokenization_spaces=_lowercase       )


"""simple docstring"""







class      _lowercase						:

				def __init__(       self    :      Tuple    ,      _lowercase    :      int       ):


										'''simple docstring'''
										UpperCAmelCase__   		=						data
										UpperCAmelCase__   		=						None
										UpperCAmelCase__   		=						None


def 					a__ (						UpperCAmelCase__    :     BinaryTreeNode | None						,     UpperCAmelCase__    :     int     )->		BinaryTreeNode | None:
						if node is None:
												UpperCAmelCase__   		=						BinaryTreeNode(UpperCAmelCase__     )
												return node

						# binary search tree is not empty,
						# so we will insert it into the tree
						# if new_value is less than value of data in node,
						#  add it to left subtree and proceed recursively
						if new_value < node.data:
												UpperCAmelCase__   		=						insert(node.left_child						,     UpperCAmelCase__     )
						else:
												# if new_value is greater than value of data in node,
												#  add it to right subtree and proceed recursively
												UpperCAmelCase__   		=						insert(node.right_child						,     UpperCAmelCase__     )
						return node


def 					a__ (						UpperCAmelCase__    :     None | BinaryTreeNode     )->		list[int]:  # if node is None,return
						if node:
												UpperCAmelCase__   		=						inorder(node.left_child     )
												UpperCAmelCase__   		=						[*inorder_array, node.data]
												UpperCAmelCase__   		=						inorder_array + inorder(node.right_child     )
						else:
												UpperCAmelCase__   		=						[]
						return inorder_array


def 					a__ (						)->		BinaryTreeNode | None:
						UpperCAmelCase__   		=						insert(UpperCAmelCase__						,     1_5     )
						insert(UpperCAmelCase__						,     1_0     )
						insert(UpperCAmelCase__						,     2_5     )
						insert(UpperCAmelCase__						,     6     )
						insert(UpperCAmelCase__						,     1_4     )
						insert(UpperCAmelCase__						,     2_0     )
						insert(UpperCAmelCase__						,     6_0     )
						return root


def 					a__ (						)->		None:
						# main function
						UpperCAmelCase__   		=						make_tree()
						print("""Printing values of binary search tree in Inorder Traversal."""     )
						inorder(UpperCAmelCase__     )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()

