code: 
  
  
  
  
  
  '''simple docstring'''
  
  def lowerCamelCase		(  __lowerCamelCase				:					float      , __lowerCamelCase				:					float      , __lowerCamelCase				:					float					)		->list[int]:
      if hue < 0 or hue > 360:
          raise Exception("""hue should be between 0 and 360"""					)
  
      if saturation < 0 or saturation > 1:
          raise Exception("""saturation should be between 0 and 1"""					)
  
      if value < 0 or value > 1:
          raise Exception("""value should be between 0 and 1"""					)
  
      _SCREAMING_SNAKE_CASE             =    value * saturation
      _SCREAMING_SNAKE_CASE             =    hue / 60
      _SCREAMING_SNAKE_CASE             =    chroma * (1 - abs(hue_section % 2 - 1					))
      _SCREAMING_SNAKE_CASE             =    value - chroma
  
      if hue_section >= 0 and hue_section <= 1:
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
      elif hue_section > 1 and hue_section <= 2:
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
      elif hue_section > 2 and hue_section <= 3:
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
      elif hue_section > 3 and hue_section <= 4:
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
      elif hue_section > 4 and hue_section <= 5:
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
      else:
          _SCREAMING_SNAKE_CASE             =    round(255 * (chroma + match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (match_value)					)
          _SCREAMING_SNAKE_CASE             =    round(255 * (second_largest_component + match_value)					)
  
      return [red, green, blue]
  
  
  
  
  
  def lowerCamelCase		(  __lowerCamelCase				:					int      , __lowerCamelCase				:					int      , __lowerCamelCase				:					int					)		->list[float]:
      if red < 0 or red > 255:
          raise Exception("""red should be between 0 and 255"""					)
  
      if green < 0 or green > 255:
          raise Exception("""green should be between 0 and 255"""					)
  
      if blue < 0 or blue > 255:
          raise Exception("""blue should be between 0 and 255"""					)
  
      _SCREAMING_SNAKE_CASE             =    red / 255
      _SCREAMING_SNAKE_CASE             =    green / 255
      _SCREAMING_SNAKE_CASE             =    blue / 255
      _SCREAMING_SNAKE_CASE             =    max(__lowerCamelCase      , __lowerCamelCase      , __lowerCamelCase					)
      _SCREAMING_SNAKE_CASE             =    value - min(__lowerCamelCase      , __lowerCamelCase      , __lowerCamelCase					)
      _SCREAMING_SNAKE_CASE             =    0 if value == 0 else chroma / value
  
      if chroma == 0:
          _SCREAMING_SNAKE_CASE             =    0.0
      elif value == float_red:
          _SCREAMING_SNAKE_CASE             =    60 * (0 + (float_green - float_blue) / chroma)
      elif value == float_green:
          _SCREAMING_SNAKE_CASE             =    60 * (2 + (float_blue - float_red) / chroma)
      else:
          _SCREAMING_SNAKE_CASE             =    60 * (4 + (float_red - float_green) / chroma)
  
      _SCREAMING_SNAKE_CASE             =    (hue + 360) % 360
  
      return [hue, saturation, value]
  
  
  
  
  
  
  def lowerCamelCase		(  __lowerCamelCase				:					list[float]      , __lowerCamelCase				:					list[float]					)		->bool:
      _SCREAMING_SNAKE_CASE             =    abs(hsv_a[0] - hsv_a[0]					) < 0.2
      _SCREAMING_SNAKE_CASE             =    abs(hsv_a[1] - hsv_a[1]					) < 0.002
      _SCREAMING_SNAKE_CASE             =    abs(hsv_a[2] - hsv_a[2]					) < 0.002
  
      return check_hue and check_saturation and check_value
  
  
  
  
style_context: 
  
  
  
  
  
  '''simple docstring'''
  
  import json
  import os
  import tempfile
  import unittest
  
  from transformers.modelcard import ModelCard
  
  
  class       a_  (       unittest.TestCase ):
  
      '''simple docstring'''
  
  
      def     snake_case_(	self )	->     int:
          _SCREAMING_SNAKE_CASE             =    {
              """model_details""": {
                  """Organization""": """testing""",
                  """Model date""": """today""",
                  """Model version""": """v2.1, Developed by Test Corp in 2019.""",
                  """Architecture""": """Convolutional Neural Network.""",
              },
              """metrics""": """BLEU and ROUGE-1""",
              """evaluation_data""": {
                  """Datasets""": {"""BLEU""": """My-great-dataset-v1""", """ROUGE-1""": """My-short-dataset-v2.1"""},
                  """Preprocessing""": """See details on https://arxiv.org/pdf/1810.03993.pdf""",
              },
              """training_data""": {
                  """Dataset""": """English Wikipedia dump dated 2018-12-01""",
                  """Preprocessing""": (
                      """Using SentencePiece vocabulary of size 52k tokens. See details on"""
                      """ https://arxiv.org/pdf/1810.03993.pdf"""
                  ),
              },
              """quantitative_analyses""": {"""BLEU""": 55.1, """ROUGE-1""": 76},
          }
  
  
      def     snake_case_(	self )	->     Tuple:
          _SCREAMING_SNAKE_CASE             =    ModelCard.from_dict(self.inputs_dict )
          self.assertTrue(hasattr(A				,	"""model_details""" ) )
          self.assertTrue(hasattr(A				,	"""intended_use""" ) )
          self.assertTrue(hasattr(A				,	"""factors""" ) )
          self.assertTrue(hasattr(A				,	"""metrics""" ) )
          self.assertTrue(hasattr(A				,	"""evaluation_data""" ) )
          self.assertTrue(hasattr(A				,	"""training_data""" ) )
          self.assertTrue(hasattr(A				,	"""quantitative_analyses""" ) )
          self.assertTrue(hasattr(A				,	"""ethical_considerations""" ) )
          self.assertTrue(hasattr(A				,	"""caveats_and_recommendations""" ) )
  
  
      def     snake_case_(	self )	->     List[str]:
          _SCREAMING_SNAKE_CASE             =    ModelCard.from_dict(self.inputs_dict )
          _SCREAMING_SNAKE_CASE             =    json.loads(modelcard.to_json_string() )
          for key, value in self.inputs_dict.items():
              self.assertEqual(obj[key]				,	A )
  
  
      def     snake_case_(	self )	->     Any:
          _SCREAMING_SNAKE_CASE             =    ModelCard.from_dict(self.inputs_dict )
  
          with tempfile.TemporaryDirectory() as tmpdirname:
              _SCREAMING_SNAKE_CASE             =    os.path.join(A				,	"""modelcard.json""" )
              model_card_first.to_json_file(A )
              _SCREAMING_SNAKE_CASE             =    ModelCard.from_json_file(A )
  
          self.assertEqual(model_card_second.to_dict()				,	model_card_first.to_dict() )
  
  
  
  
  
      def     snake_case_(	self )	->     List[Any]:
          _SCREAMING_SNAKE_CASE             =    ModelCard.from_dict(self.inputs_dict )
  
          with tempfile.TemporaryDirectory() as tmpdirname:
              model_card_first.save_pretrained(A )
              _SCREAMING_SNAKE_CASE             =    ModelCard.from_pretrained(A )
  
          self.assertEqual(model_card_second.to_dict()				,	model_card_first.to_dict() )
  
  
  
  