





'''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 		lowerCamelCase  (      _A       ):
	snake_case_      =   "dandelin/vilt-b32-finetuned-vqa"
	snake_case_      =   (
	    "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."
	)
	snake_case_      =   "image_qa"
	snake_case_      =   AutoProcessor
	snake_case_      =   AutoModelForVisualQuestionAnswering

	snake_case_      =   ["image", "text"]
	snake_case_      =   ["text"]



	def __init__(   self		,      *a_		,      **a_	):
			requires_backends(self		,      ["vision"]	)
			super().__init__(*a_		,      **a_	)



	def   _lowerCamelCase    (   self		,      a_		,      a_	):
			return self.pre_processor(a_		,      a_		,      return_tensors="pt"	)



	def   _lowerCamelCase    (   self		,      a_	):
			with torch.no_grad():
					return self.model(**a_	).logits





	def   _lowerCamelCase    (   self		,      a_	):
			lowerCAmelCase     :    Any						=   outputs.argmax(-1	).item()
			return self.model.config.idalabel[idx]










'''simple docstring'''






def      __A						(							a_						:  int	):
		assert (
		    isinstance(a_      ,a_	) and number_of_steps > 0
		), f'''number_of_steps needs to be positive integer, your input {number_of_steps}'''
		if number_of_steps == 1:
				return 1
		lowerCAmelCase	,		lowerCAmelCase     :    int						=   1, 1
		for _ in range(number_of_steps - 1	):
				lowerCAmelCase	,		lowerCAmelCase     :    Union[str, Any]						=   current + previous, current
		return current


if __name__ == "__main__":
					import doctest

					doctest.testmod()



