
"""simple docstring"""





import unittest

from transformers import MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING, is_vision_available
from transformers.pipelines import pipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_tf,
    require_torch,
    require_vision,
    slow,
)

from .test_pipelines_common import ANY


if is_vision_available():
    from PIL import Image
else:


    class A_	:




      '''simple docstring'''







      @staticmethod
      def        UpperCamelCase__					(		*lowercase_				,   **lowercase_  ):

         """simple docstring"""
         pass


@is_pipeline_test
@require_torch
@require_vision
class A_	(unittest.TestCase      ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__			:						List[Any]       =		MODEL_FOR_VISUAL_QUESTION_ANSWERING_MAPPING







  def        UpperCamelCase__					(		self				,   lowercase_				,   lowercase_				,   lowercase_  ):

     """simple docstring"""
     UpperCAmelCase_					:					Dict			     =    pipeline("visual-question-answering"				,   model="hf-internal-testing/tiny-vilt-random-vqa"  )
     UpperCAmelCase_					:					List[str]			     =    [
         {
             "image": Image.open("./tests/fixtures/tests_samples/COCO/000000039769.png"  ),
             "question": "How many cats are there?",
         },
         {
             "image": "./tests/fixtures/tests_samples/COCO/000000039769.png",
             "question": "How many cats are there?",
         },
     ]
     return vqa_pipeline, examples







  def        UpperCamelCase__					(		self				,   lowercase_				,   lowercase_  ):

     """simple docstring"""
     UpperCAmelCase_					:					int			     =    vqa_pipeline(lowercase_				,   top_k=1  )
     self.assertEqual(
         lowercase_				,   [
             [{"score": ANY(lowercase_  ), "answer": ANY(lowercase_  )}],
             [{"score": ANY(lowercase_  ), "answer": ANY(lowercase_  )}],
         ]				,   )







  @require_torch
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					List[str]			     =    pipeline("visual-question-answering"				,   model="hf-internal-testing/tiny-vilt-random-vqa"  )
     UpperCAmelCase_					:					Optional[int]			     =    "./tests/fixtures/tests_samples/COCO/000000039769.png"
     UpperCAmelCase_					:					Any			     =    "How many cats are there?"

     UpperCAmelCase_					:					List[str]			     =    vqa_pipeline(image=lowercase_				,   question="How many cats are there?"				,   top_k=2  )
     self.assertEqual(
         lowercase_				,   [{"score": ANY(lowercase_  ), "answer": ANY(lowercase_  )}, {"score": ANY(lowercase_  ), "answer": ANY(lowercase_  )}]  )

     UpperCAmelCase_					:					str			     =    vqa_pipeline({"image": image, "question": question}				,   top_k=2  )
     self.assertEqual(
         lowercase_				,   [{"score": ANY(lowercase_  ), "answer": ANY(lowercase_  )}, {"score": ANY(lowercase_  ), "answer": ANY(lowercase_  )}]  )







  @slow
  @require_torch
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     UpperCAmelCase_					:					Any			     =    pipeline("visual-question-answering"				,   model="dandelin/vilt-b32-finetuned-vqa"  )
     UpperCAmelCase_					:					str			     =    "./tests/fixtures/tests_samples/COCO/000000039769.png"
     UpperCAmelCase_					:					List[Any]			     =    "How many cats are there?"

     UpperCAmelCase_					:					str			     =    vqa_pipeline(image=lowercase_				,   question=lowercase_				,   top_k=2  )
     self.assertEqual(
         nested_simplify(lowercase_				,   decimals=4  )				,   [{"score": 0.87_99, "answer": "2"}, {"score": 0.2_96, "answer": "1"}]  )

     UpperCAmelCase_					:					Tuple			     =    vqa_pipeline({"image": image, "question": question}				,   top_k=2  )
     self.assertEqual(
         nested_simplify(lowercase_				,   decimals=4  )				,   [{"score": 0.87_99, "answer": "2"}, {"score": 0.2_96, "answer": "1"}]  )

     UpperCAmelCase_					:					int			     =    vqa_pipeline(
         [{"image": image, "question": question}, {"image": image, "question": question}]				,   top_k=2  )
     self.assertEqual(
         nested_simplify(lowercase_				,   decimals=4  )				,   [[{"score": 0.87_99, "answer": "2"}, {"score": 0.2_96, "answer": "1"}]] * 2				,   )







  @require_tf
  @unittest.skip("Visual question answering not implemented in TF"  )
  def        UpperCamelCase__					(		self  ):

     """simple docstring"""
     pass




"""simple docstring"""





def 	__a     (		__lowerCamelCase = 3,		__lowerCamelCase = 7,		__lowerCamelCase = 100_0000  ):
   UpperCAmelCase_					:					Dict			     =    0
   UpperCAmelCase_					:					List[Any]			     =    1

   for current_denominator in range(1,		limit + 1  ):
      UpperCAmelCase_					:					Dict			     =    current_denominator * numerator // denominator
      if current_denominator % denominator == 0:
         current_numerator -= 1
      if current_numerator * max_denominator > current_denominator * max_numerator:
         UpperCAmelCase_					:					List[Any]			     =    current_numerator
         UpperCAmelCase_					:					Optional[int]			     =    current_denominator
   return max_numerator


if __name__ == "__main__":
    print(solution(numerator=3, denominator=7, limit=1_000_000))


