



'''simple docstring'''


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 					SCREAMING_SNAKE_CASE					(    __A						):






    """simple docstring"""





    _SCREAMING_SNAKE_CASE          =    """dandelin/vilt-b32-finetuned-vqa"""
    _SCREAMING_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."""
    )
    _SCREAMING_SNAKE_CASE          =    """image_qa"""
    _SCREAMING_SNAKE_CASE          =    AutoProcessor
    _SCREAMING_SNAKE_CASE          =    AutoModelForVisualQuestionAnswering

    _SCREAMING_SNAKE_CASE          =    ["""image""", """text"""]
    _SCREAMING_SNAKE_CASE          =    ["""text"""]






    def __init__(    self :   List[Any]    ,		*UpperCamelCase__ :   List[str]    ,		**UpperCamelCase__ :   Dict					):


       """simple docstring"""







       requires_backends(self    ,		['vision']					)
       super().__init__(*UpperCamelCase__    ,		**UpperCamelCase__					)






    def 					A			(    self :   Tuple    ,		UpperCamelCase__ :   "Image"    ,		UpperCamelCase__ :   str					):


       """simple docstring"""







       return self.pre_processor(UpperCamelCase__    ,		UpperCamelCase__    ,		return_tensors='pt'					)






    def 					A			(    self :   int    ,		UpperCamelCase__ :   Optional[int]					):


       """simple docstring"""







       with torch.no_grad():
          return self.model(**UpperCamelCase__					).logits






    def 					A			(    self :   List[Any]    ,		UpperCamelCase__ :   Dict					):


       """simple docstring"""







       UpperCamelCase      							=    outputs.argmax(-1					).item()
       return self.model.config.idalabel[idx]









'''simple docstring'''



import string

# frequency taken from https://en.wikipedia.org/wiki/Letter_frequency
SCREAMING_SNAKE_CASE							=						{
    'E': 12.70,
    'T': 9.06,
    'A': 8.17,
    'O': 7.51,
    'I': 6.97,
    'N': 6.75,
    'S': 6.33,
    'H': 6.09,
    'R': 5.99,
    'D': 4.25,
    'L': 4.03,
    'C': 2.78,
    'U': 2.76,
    'M': 2.41,
    'W': 2.36,
    'F': 2.23,
    'G': 2.02,
    'Y': 1.97,
    'P': 1.93,
    'B': 1.29,
    'V': 0.98,
    'K': 0.77,
    'J': 0.15,
    'X': 0.15,
    'Q': 0.10,
    'Z': 0.07,
}
SCREAMING_SNAKE_CASE							=						'ETAOINSHRDLCUMWFGYPBVKJXQZ'
SCREAMING_SNAKE_CASE							=						'ABCDEFGHIJKLMNOPQRSTUVWXYZ'


def 				lowercase_					(     __A			:							str      )							->   dict[str, int]:



 """simple docstring"""




 lowercase       : List[str]						={letter: 0 for letter in string.ascii_uppercase}
 for letter in message.upper():
  if letter in LETTERS:
   letter_count[letter] += 1

 return letter_count


def 				lowercase_					(     __A			:							tuple      )							->   str:



 """simple docstring"""




 return x[0]


def 				lowercase_					(     __A			:							str      )							->   str:



 """simple docstring"""




 lowercase       : Optional[Any]						=get_letter_count(__A      )
 lowercase       : dict[int, list[str]]						={
     freq: [] for letter, freq in letter_to_freq.items()
 }
 for letter in LETTERS:
  freq_to_letter[letter_to_freq[letter]].append(__A      )

 lowercase       : dict[int, str]						={}

 for freq in freq_to_letter:
  freq_to_letter[freq].sort(key=ETAOIN.find       ,   reverse=__A      )
  lowercase       : Optional[int]						=''''''.join(freq_to_letter[freq]      )

 lowercase       : str						=list(freq_to_letter_str.items()      )
 freq_pairs.sort(key=__A       ,   reverse=__A      )

 lowercase       : list[str]						=[freq_pair[1] for freq_pair in freq_pairs]

 return "".join(__A      )


def 				lowercase_					(     __A			:							str      )							->   int:



 """simple docstring"""




 lowercase       : Optional[Any]						=get_frequency_order(__A      )
 lowercase       : Union[str, Any]						=0
 for common_letter in ETAOIN[:6]:
  if common_letter in freq_order[:6]:
   match_score += 1

 for uncommon_letter in ETAOIN[-6:]:
  if uncommon_letter in freq_order[-6:]:
   match_score += 1

 return match_score


if __name__ == "__main__":
      import doctest

      doctest.testmod()



