





'''simple docstring'''







class 					__a      :

							def __init__(							self							:     List[Any]   )					->       Tuple:







													"""simple docstring"""
													UpperCAmelCase_			:      List[str]     						=  {}  # Mapping from char to TrieNode
													UpperCAmelCase_			:      Optional[int]     						=  False

							def     UpperCAmelCase__	(							self							:     Optional[int]       ,     __magic_name__							:     List[Any]   )					->       List[Any]:







													"""simple docstring"""
													for word in words:
																			self.insert(UpperCAmelCase_   )

							def     UpperCAmelCase__	(							self							:     Optional[Any]       ,     __magic_name__							:     str   )					->       Dict:







													"""simple docstring"""
													UpperCAmelCase_			:      List[str]     						=  self
													for char in word:
																			if char not in curr.nodes:
																									UpperCAmelCase_			:      List[Any]     						=  TrieNode()
																			UpperCAmelCase_			:      List[Any]     						=  curr.nodes[char]
													UpperCAmelCase_			:      List[str]     						=  True

							def     UpperCAmelCase__	(							self							:     List[str]       ,     __magic_name__							:     Union[str, Any]   )					->       List[str]:







													"""simple docstring"""
													UpperCAmelCase_			:      List[Any]     						=  self
													for char in word:
																			if char not in curr.nodes:
																									return False
																			UpperCAmelCase_			:      str     						=  curr.nodes[char]
													return curr.is_leaf



							def     UpperCAmelCase__	(							self							:     Tuple       ,     __magic_name__							:     int   )					->       Tuple:







													"""simple docstring"""

													def _delete(__magic_name__							:     str       ,     __magic_name__							:     Any       ,     __magic_name__							:     Optional[Any]   ) -> bool:
																			if index == len(UpperCAmelCase_   ):
																									# If word does not exist
																									if not curr.is_leaf:
																															return False
																									UpperCAmelCase_			:      List[Any]     						=  False
																									return len(curr.nodes   ) == 0
																			UpperCAmelCase_			:      Tuple     						=  word[index]
																			UpperCAmelCase_			:      Tuple     						=  curr.nodes.get(UpperCAmelCase_   )
																			# If char not in current trie node
																			if not char_node:
																									return False
																			# Flag to check if node can be deleted
																			UpperCAmelCase_			:      Optional[Any]     						=  _delete(UpperCAmelCase_       ,     UpperCAmelCase_       ,     index + 1   )
																			if delete_curr:
																									del curr.nodes[char]
																									return len(curr.nodes   ) == 0
																			return delete_curr

													_delete(self       ,     UpperCAmelCase_       ,     0   )





def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			Optional[int],			SCREAMING_SNAKE_CASE__      :			Optional[int]   ) ->	str:
						if node.is_leaf:
												print(_snake_case,			end=''' '''   )

						for key, value in node.nodes.items():
												print_words(_snake_case,			word + key   )





def        lowerCamelCase_      (  ) ->	Optional[Any]:
						UpperCAmelCase_			:      Optional[Any]     						=  '''banana bananas bandana band apple all beast'''.split()
						UpperCAmelCase_			:      int     						=  TrieNode()
						root.insert_many(_snake_case   )
						# print_words(root, "")
						assert all(root.find(_snake_case   ) for word in words   )
						assert root.find('''banana'''   )
						assert not root.find('''bandanas'''   )
						assert not root.find('''apps'''   )
						assert root.find('''apple'''   )
						assert root.find('''all'''   )
						root.delete('''all'''   )
						assert not root.find('''all'''   )
						root.delete('''banana'''   )
						assert not root.find('''banana'''   )
						assert root.find('''bananas'''   )
						return True





def        lowerCamelCase_      (  SCREAMING_SNAKE_CASE__      :			str,			SCREAMING_SNAKE_CASE__      :			List[str]   ) ->	Any:
						print(str(_snake_case   ),			'''works!''' if passes else '''doesn\'t work :('''   )





def        lowerCamelCase_      (  ) ->	Optional[int]:
						assert test_trie()





def        lowerCamelCase_      (  ) ->	Optional[int]:
						print_results('''Testing trie functionality''',			test_trie()   )


if __name__ == "__main__":
					main()












'''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 typing import TYPE_CHECKING

import torch

from ..models.auto import AutoModelForVisualQuestionAnswering, AutoProcessor
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
					from PIL import Image


class 					__a      (lowerCamelCase     ):
							__a					:   int									=       "dandelin/vilt-b32-finetuned-vqa"
							__a					:   Any									=       (
							    "This is a tool that answers a question about an image. It takes an input named `image` which should be the "
							    "image containing the information, as well as a `question` which should be the question in English. It "
							    "returns a text that is the answer to the question."
							)
							__a					:   Any									=       "image_qa"
							__a					:   str									=       AutoProcessor
							__a					:   Any									=       AutoModelForVisualQuestionAnswering

							__a					:   List[Any]									=       ["image", "text"]
							__a					:   int									=       ["text"]

							def __init__(							self							:     Tuple       ,     *__magic_name__							:     Any       ,     **__magic_name__							:     Any   )					->       Tuple:







													"""simple docstring"""
													requires_backends(self       ,     ['''vision''']   )
													super().__init__(*__magic_name__       ,     **__magic_name__   )

							def     UpperCAmelCase__	(							self							:     Union[str, Any]       ,     __magic_name__							:     "Image"       ,     __magic_name__							:     str   )					->       Tuple:







													"""simple docstring"""
													return self.pre_processor(__magic_name__       ,     __magic_name__       ,     return_tensors='''pt'''   )

							def     UpperCAmelCase__	(							self							:     Any       ,     __magic_name__							:     List[str]   )					->       Optional[Any]:







													"""simple docstring"""
													with torch.no_grad():
																			return self.model(**__magic_name__   ).logits



							def     UpperCAmelCase__	(							self							:     int       ,     __magic_name__							:     int   )					->       Optional[int]:







													"""simple docstring"""
													UpperCAmelCase_			:      Dict     						=  outputs.argmax(-1   ).item()
													return self.model.config.idalabel[idx]





