





'''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      snake_case     (    __lowerCamelCase       ):




 """simple docstring"""



 SCREAMING_SNAKE_CASE_	:					Any					="dandelin/vilt-b32-finetuned-vqa"
 SCREAMING_SNAKE_CASE_	:					Optional[int]					=(
     "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."
 )
 SCREAMING_SNAKE_CASE_	:					Tuple					="image_qa"
 SCREAMING_SNAKE_CASE_	:					List[str]					=AutoProcessor
 SCREAMING_SNAKE_CASE_	:					List[Any]					=AutoModelForVisualQuestionAnswering

 SCREAMING_SNAKE_CASE_	:					Optional[Any]					=["image", "text"]
 SCREAMING_SNAKE_CASE_	:					Optional[int]					=["text"]






 def __init__(       self       :							List[str]							,	*__A       :							str							,	**__A       :							List[str]	):
        requires_backends(self							,	['vision']	)
        super().__init__(*__A							,	**__A	)






 def        _lowerCamelCase					(       self       :							List[Any]							,	__A       :							"Image"							,	__A       :							str	):
        return self.pre_processor(__A							,	__A							,	return_tensors='pt'	)






 def        _lowerCamelCase					(       self       :							Any							,	__A       :							Tuple	):
        with torch.no_grad():
               return self.model(**__A	).logits






 def        _lowerCamelCase					(       self       :							Tuple							,	__A       :							int	):
        __UpperCamelCase       =  outputs.argmax(-1	).item()
        return self.model.config.idalabel[idx]

__lowerCamelCase			: List[Any]							   =		6_5521



def 	__SCREAMING_SNAKE_CASE  (					__UpperCamelCase    :       str	)							->					int:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__										=      1
  SCREAMING_SNAKE_CASE__										=      0
  for plain_chr in plain_text:
    SCREAMING_SNAKE_CASE__										=      (a + ord(__UpperCamelCase	)) % MOD_ADLER
    SCREAMING_SNAKE_CASE__										=      (b + a) % MOD_ADLER
  return (b << 16) | a
