




def   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				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"					)

       lowerCamelCase     :   List[str]    				=      value * saturation
       lowerCamelCase     :   Dict    				=      hue / 60
       lowerCamelCase     :   Dict    				=      chroma * (1 - abs(hue_section % 2 - 1					))
       lowerCamelCase     :   Optional[Any]    				=      value - chroma

       if hue_section >= 0 and hue_section <= 1:
              lowerCamelCase     :   Optional[Any]    				=      round(255 * (chroma + match_value)					)
              lowerCamelCase     :   str    				=      round(255 * (second_largest_component + match_value)					)
              lowerCamelCase     :   List[str]    				=      round(255 * (match_value)					)
       elif hue_section > 1 and hue_section <= 2:
              lowerCamelCase     :   List[str]    				=      round(255 * (second_largest_component + match_value)					)
              lowerCamelCase     :   Optional[int]    				=      round(255 * (chroma + match_value)					)
              lowerCamelCase     :   Any    				=      round(255 * (match_value)					)
       elif hue_section > 2 and hue_section <= 3:
              lowerCamelCase     :   List[Any]    				=      round(255 * (match_value)					)
              lowerCamelCase     :   Any    				=      round(255 * (chroma + match_value)					)
              lowerCamelCase     :   str    				=      round(255 * (second_largest_component + match_value)					)
       elif hue_section > 3 and hue_section <= 4:
              lowerCamelCase     :   Union[str, Any]    				=      round(255 * (match_value)					)
              lowerCamelCase     :   str    				=      round(255 * (second_largest_component + match_value)					)
              lowerCamelCase     :   Union[str, Any]    				=      round(255 * (chroma + match_value)					)
       elif hue_section > 4 and hue_section <= 5:
              lowerCamelCase     :   Dict    				=      round(255 * (second_largest_component + match_value)					)
              lowerCamelCase     :   str    				=      round(255 * (match_value)					)
              lowerCamelCase     :   Tuple    				=      round(255 * (chroma + match_value)					)
       else:
              lowerCamelCase     :   Dict    				=      round(255 * (chroma + match_value)					)
              lowerCamelCase     :   str    				=      round(255 * (match_value)					)
              lowerCamelCase     :   int    				=      round(255 * (second_largest_component + match_value)					)

       return [red, green, blue]

def   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				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"					)

       lowerCamelCase     :   int    				=      red / 255
       lowerCamelCase     :   Tuple    				=      green / 255
       lowerCamelCase     :   Optional[int]    				=      blue / 255
       lowerCamelCase     :   Union[str, Any]    				=      max(_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)
       lowerCamelCase     :   Optional[int]    				=      value - min(_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)
       lowerCamelCase     :   str    				=      0 if value == 0 else chroma / value

       if chroma == 0:
              lowerCamelCase     :   Dict    				=      0.0
       elif value == float_red:
              lowerCamelCase     :   Union[str, Any]    				=      60 * (0 + (float_green - float_blue) / chroma)
       elif value == float_green:
              lowerCamelCase     :   Any    				=      60 * (2 + (float_blue - float_red) / chroma)
       else:
              lowerCamelCase     :   str    				=      60 * (4 + (float_red - float_green) / chroma)

       lowerCamelCase     :   Any    				=      (hue + 360) % 360

       return [hue, saturation, value]


def   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				bool:
       lowerCamelCase     :   Dict    				=      abs(hsv_a[0] - hsv_a[0]					) < 0.2
       lowerCamelCase     :   Dict    				=      abs(hsv_a[1] - hsv_a[1]					) < 0.002
       lowerCamelCase     :   List[str]    				=      abs(hsv_a[2] - hsv_a[2]					) < 0.002

       return check_hue and check_saturation and check_value












import os
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
       import torch

       from transformers import GPTaLMHeadModel




@require_torch
@require_sentencepiece
@require_tokenizers
class 	UpperCamelCase__			(unittest.TestCase  ):

    '''simple docstring'''



    @slow
    @unittest.skip("Model is not available."  )
    def 					_lowercase  (					self  )  ->   List[Any]:
           lowerCamelCase     :   List[Any]    				=      "nvidia/megatron-gpt2-345m/"
           if "MYDIR" in os.environ:
                  lowerCamelCase     :   Union[str, Any]    				=      os.path.join(os.environ["MYDIR"]  ,						UpperCamelCase__  )
           lowerCamelCase     :   Any    				=      GPTaLMHeadModel.from_pretrained(UpperCamelCase__  )
           model.to(UpperCamelCase__  )
           model.half()

           lowerCamelCase     :   Dict    				=      torch.tensor(
               [[101, 7110, 1005, 1056, 2023, 1_1333, 1_7413, 1029, 102]]  ,						device=UpperCamelCase__  ,						dtype=torch.long  ,						)

           with torch.no_grad():
                  lowerCamelCase     :   Any    				=      model(UpperCamelCase__  ).logits

           lowerCamelCase     :   Union[str, Any]    				=      torch.Size((1, 9, 5_0257)  )
           self.assertEqual(output.shape  ,						UpperCamelCase__  )

           lowerCamelCase     :   List[str]    				=      torch.tensor(
               [
                   4.9414,
                   -0.2920,
                   -1.2148,
                   -4.0273,
                   -0.5161,
                   -5.2109,
                   -1.2412,
                   -1.8301,
                   -1.7734,
                   -4.7148,
                   -0.2317,
                   -1.0811,
                   -2.1777,
                   0.4141,
                   -3.7969,
                   -4.0586,
                   -2.5332,
                   -3.3809,
                   4.3867,
               ]  ,						device=UpperCamelCase__  ,						dtype=torch.half  ,						)

           for i in range(19  ):
                  lowerCamelCase				,   lowerCamelCase     :   Optional[int]    				=      8 * i // 17, 2792 * i  # along the diagonal
                  lowerCamelCase				,   lowerCamelCase     :   Tuple    				=      output[0, r, c], expected_diag[i]
                  lowerCamelCase     :   List[str]    				=      F'''row={r} col={c} computed={computed} expected={expected}'''
                  self.assertAlmostEqual(UpperCamelCase__  ,						UpperCamelCase__  ,						delta=1e-4  ,						msg=UpperCamelCase__  )






