





import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch

class      A       (	unittest.TestCase						):
      _snake_case							     =JukeboxTokenizer
      _snake_case							     ={
          '''artist''': '''Zac Brown Band''',
          '''genres''': '''Country''',
          '''lyrics''': '''I met a traveller from an antique land,
        Who said "Two vast and trunkless legs of stone
        Stand in the desert. . . . Near them, on the sand,
        Half sunk a shattered visage lies, whose frown,
        And wrinkled lip, and sneer of cold command,
        Tell that its sculptor well those passions read
        Which yet survive, stamped on these lifeless things,
        The hand that mocked them, and the heart that fed;
        And on the pedestal, these words appear:
        My name is Ozymandias, King of Kings;
        Look on my Works, ye Mighty, and despair!
        Nothing beside remains. Round the decay
        Of that colossal Wreck, boundless and bare
        The lone and level sands stretch far away
        ''',
      }



      @require_torch
      def 	lowerCAmelCase__    (	self:						List[str]       )						->    List[str]:
         '''simple docstring'''

         import torch

         UpperCAmelCase_											=JukeboxTokenizer.from_pretrained("openai/jukebox-1b-lyrics"       )
         UpperCAmelCase_											=tokenizer(**self.metas       )["input_ids"]
         # fmt: off
         UpperCAmelCase_											=[
             torch.tensor([[
                 0, 0, 0, 7169, 507, 9, 76, 39, 31, 46, 76, 27,
                 76, 46, 44, 27, 48, 31, 38, 38, 31, 44, 76, 32,
                 44, 41, 39, 76, 27, 40, 76, 27, 40, 46, 35, 43,
                 47, 31, 76, 38, 27, 40, 30, 64, 78, 76, 76, 76,
                 76, 76, 76, 76, 76, 23, 34, 41, 76, 45, 27, 35,
                 30, 76, 71, 20, 49, 41, 76, 48, 27, 45, 46, 76,
                 27, 40, 30, 76, 46, 44, 47, 40, 37, 38, 31, 45,
                 45, 76, 38, 31, 33, 45, 76, 41, 32, 76, 45, 46,
                 41, 40, 31, 78, 76, 76, 76, 76, 76, 76, 76, 76,
                 19, 46, 27, 40, 30, 76, 35, 40, 76, 46, 34, 31,
                 76, 30, 31, 45, 31, 44, 46, 63, 76, 63, 76, 63,
                 76, 63, 76, 14, 31, 27, 44, 76, 46, 34, 31, 39,
                 64, 76, 41, 40, 76, 46, 34, 31, 76, 45, 27, 40,
                 30, 64, 78, 76, 76, 76, 76, 76, 76, 76, 76, 8,
                 27, 38, 32, 76, 45, 47, 40, 37, 76, 27, 76, 45,
                 34, 27, 46, 46, 31, 44, 31, 30, 76, 48, 35, 45,
                 27, 33, 31, 76, 38, 35, 31, 45, 64, 76, 49, 34,
                 41, 45, 31, 76, 32, 44, 41, 49, 40, 64, 78, 76,
                 76, 76, 76, 76, 76, 76, 76, 1, 40, 30, 76, 49,
                 44, 35, 40, 37, 38, 31, 30, 76, 38, 35, 42, 64,
                 76, 27, 40, 30, 76, 45, 40, 31, 31, 44, 76, 41,
                 32, 76, 29, 41, 38, 30, 76, 29, 41, 39, 39, 27,
                 40, 30, 64, 78, 76, 76, 76, 76, 76, 76, 76, 76,
                 20, 31, 38, 38, 76, 46, 34, 27, 46, 76, 35, 46,
                 45, 76, 45, 29, 47, 38, 42, 46, 41, 44, 76, 49,
                 31, 38, 38, 76, 46, 34, 41, 45, 31, 76, 42, 27,
                 45, 45, 35, 41, 40, 45, 76, 44, 31, 27, 30, 78,
                 76, 76, 76, 76, 76, 76, 76, 76, 23, 34, 35, 29,
                 34, 76, 51, 31, 46, 76, 45, 47, 44, 48, 35, 48,
                 31, 64, 76, 45, 46, 27, 39, 42, 31, 30, 76, 41,
                 40, 76, 46, 34, 31, 45, 31, 76, 38, 35, 32, 31,
                 38, 31, 45, 45, 76, 46, 34, 35, 40, 33, 45, 64,
                 78, 76, 76, 76, 76, 76, 76, 76, 76, 20, 34, 31,
                 76, 34, 27, 40, 30, 76, 46, 34, 27, 46, 76, 39,
                 41, 29, 37, 31, 30, 76, 46, 34, 31, 39, 64, 76,
                 27, 40, 30, 76, 46, 34, 31, 76, 34, 31, 27, 44,
                 46, 76, 46, 34, 27, 46, 76, 32, 31, 30, 66, 78,
                 76, 76, 76, 76, 76, 76, 76, 76, 1, 40, 30, 76,
                 41, 40, 76, 46, 34, 31, 76, 42, 31, 30, 31, 45,
                 46, 27, 38, 64, 76, 46, 34, 31, 45, 31, 76, 49,
                 41, 44, 30, 45, 76, 27, 42, 42, 31, 27, 44, 65,
                 78, 76, 76, 76, 76, 76, 76, 76, 76, 13, 51, 76,
                 40, 27, 39, 31, 76, 35, 45, 76, 15, 52, 51, 39,
                 27, 40, 30, 35, 27, 45, 64, 76, 11, 35, 40, 33,
                 76, 41, 32, 76, 11, 35, 40, 33, 45, 66, 78, 76,
                 76, 76, 76, 76, 76, 76, 76, 12, 41, 41, 37, 76,
                 41, 40, 76, 39, 51, 76, 23, 41, 44, 37, 45, 64,
                 76, 51, 31, 76, 13, 35, 33, 34, 46, 51, 64, 76,
                 27, 40, 30, 76, 30, 31, 45, 42, 27, 35, 44, 67,
                 78, 76, 76, 76, 76, 76, 76, 76, 76, 14, 41, 46,
                 34, 35, 40, 33, 76, 28, 31, 45, 35, 30, 31, 76,
                 44, 31, 39, 27, 35, 40, 45, 63, 76, 18, 41, 47,
                 40, 30, 76, 46, 34, 31, 76, 30, 31, 29, 27, 51,
                 78, 76, 76, 76, 76, 76, 76, 76, 76, 15, 32, 76,
                 46, 34, 27, 46, 76, 29, 41, 38, 41, 45, 45, 27,
                 38, 76, 23, 44, 31, 29, 37, 64, 76, 28, 41, 47,
                 40, 30, 38, 31, 45, 45, 76, 27, 40, 30, 76, 28,
                 27, 44, 31, 78, 76, 76, 76, 76, 76, 76, 76, 76,
                 20, 34, 31, 76, 38, 41, 40, 31, 76, 27, 40, 30,
                 76, 38, 31, 48, 31, 38, 76, 45, 27, 40, 30, 45,
                 76, 45, 46, 44, 31, 46, 29, 34, 76, 32, 27, 44,
                 76, 27, 49, 27, 51, 78, 76, 76, 76, 76, 76, 76,
                 76, 76]]       ),
             torch.tensor([[0, 0, 0, 1069, 11]]       ),
             torch.tensor([[0, 0, 0, 1069, 11]]       ),
         ]
         # fmt: on
         self.assertTrue(torch.allclose(tokens[0]		,  EXPECTED_OUTPUT[0]       )       )
         self.assertTrue(torch.allclose(tokens[1]		,  EXPECTED_OUTPUT[1]       )       )
         self.assertTrue(torch.allclose(tokens[2]		,  EXPECTED_OUTPUT[2]       )       )






      @require_torch
      def 	lowerCAmelCase__    (	self:						Dict       )						->    Tuple:
         '''simple docstring'''

         import torch

         UpperCAmelCase_											=JukeboxTokenizer.from_pretrained("openai/jukebox-5b-lyrics"       )
         UpperCAmelCase_											=tokenizer(**self.metas       )["input_ids"]
         # fmt: off
         UpperCAmelCase_											=[
             torch.tensor([[
                 0, 0, 0, 1069, 11, -1, -1, -1, -1, 9, 77, 39,
                 31, 46, 77, 27, 77, 46, 44, 27, 48, 31, 38, 38,
                 31, 44, 77, 32, 44, 41, 39, 77, 27, 40, 77, 27,
                 40, 46, 35, 43, 47, 31, 77, 38, 27, 40, 30, 64,
                 79, 77, 77, 77, 77, 77, 77, 77, 77, 23, 34, 41,
                 77, 45, 27, 35, 30, 77, 72, 20, 49, 41, 77, 48,
                 27, 45, 46, 77, 27, 40, 30, 77, 46, 44, 47, 40,
                 37, 38, 31, 45, 45, 77, 38, 31, 33, 45, 77, 41,
                 32, 77, 45, 46, 41, 40, 31, 79, 77, 77, 77, 77,
                 77, 77, 77, 77, 19, 46, 27, 40, 30, 77, 35, 40,
                 77, 46, 34, 31, 77, 30, 31, 45, 31, 44, 46, 63,
                 77, 63, 77, 63, 77, 63, 77, 14, 31, 27, 44, 77,
                 46, 34, 31, 39, 64, 77, 41, 40, 77, 46, 34, 31,
                 77, 45, 27, 40, 30, 64, 79, 77, 77, 77, 77, 77,
                 77, 77, 77, 8, 27, 38, 32, 77, 45, 47, 40, 37,
                 77, 27, 77, 45, 34, 27, 46, 46, 31, 44, 31, 30,
                 77, 48, 35, 45, 27, 33, 31, 77, 38, 35, 31, 45,
                 64, 77, 49, 34, 41, 45, 31, 77, 32, 44, 41, 49,
                 40, 64, 79, 77, 77, 77, 77, 77, 77, 77, 77, 1,
                 40, 30, 77, 49, 44, 35, 40, 37, 38, 31, 30, 77,
                 38, 35, 42, 64, 77, 27, 40, 30, 77, 45, 40, 31,
                 31, 44, 77, 41, 32, 77, 29, 41, 38, 30, 77, 29,
                 41, 39, 39, 27, 40, 30, 64, 79, 77, 77, 77, 77,
                 77, 77, 77, 77, 20, 31, 38, 38, 77, 46, 34, 27,
                 46, 77, 35, 46, 45, 77, 45, 29, 47, 38, 42, 46,
                 41, 44, 77, 49, 31, 38, 38, 77, 46, 34, 41, 45,
                 31, 77, 42, 27, 45, 45, 35, 41, 40, 45, 77, 44,
                 31, 27, 30, 79, 77, 77, 77, 77, 77, 77, 77, 77,
                 23, 34, 35, 29, 34, 77, 51, 31, 46, 77, 45, 47,
                 44, 48, 35, 48, 31, 64, 77, 45, 46, 27, 39, 42,
                 31, 30, 77, 41, 40, 77, 46, 34, 31, 45, 31, 77,
                 38, 35, 32, 31, 38, 31, 45, 45, 77, 46, 34, 35,
                 40, 33, 45, 64, 79, 77, 77, 77, 77, 77, 77, 77,
                 77, 20, 34, 31, 77, 34, 27, 40, 30, 77, 46, 34,
                 27, 46, 77, 39, 41, 29, 37, 31, 30, 77, 46, 34,
                 31, 39, 64, 77, 27, 40, 30, 77, 46, 34, 31, 77,
                 34, 31, 27, 44, 46, 77, 46, 34, 27, 46, 77, 32,
                 31, 30, 66, 79, 77, 77, 77, 77, 77, 77, 77, 77,
                 1, 40, 30, 77, 41, 40, 77, 46, 34, 31, 77, 42,
                 31, 30, 31, 45, 46, 27, 38, 64, 77, 46, 34, 31,
                 45, 31, 77, 49, 41, 44, 30, 45, 77, 27, 42, 42,
                 31, 27, 44, 65, 79, 77, 77, 77, 77, 77, 77, 77,
                 77, 13, 51, 77, 40, 27, 39, 31, 77, 35, 45, 77,
                 15, 52, 51, 39, 27, 40, 30, 35, 27, 45, 64, 77,
                 11, 35, 40, 33, 77, 41, 32, 77, 11, 35, 40, 33,
                 45, 66, 79, 77, 77, 77, 77, 77, 77, 77, 77, 12,
                 41, 41, 37, 77, 41, 40, 77, 39, 51, 77, 23, 41,
                 44, 37, 45, 64, 77, 51, 31, 77, 13, 35, 33, 34,
                 46, 51, 64, 77, 27, 40, 30, 77, 30, 31, 45, 42,
                 27, 35, 44, 67, 79, 77, 77, 77, 77, 77, 77, 77,
                 77, 14, 41, 46, 34, 35, 40, 33, 77, 28, 31, 45,
                 35, 30, 31, 77, 44, 31, 39, 27, 35, 40, 45, 63,
                 77, 18, 41, 47, 40, 30, 77, 46, 34, 31, 77, 30,
                 31, 29, 27, 51, 79, 77, 77, 77, 77, 77, 77, 77,
                 77, 15, 32, 77, 46, 34, 27, 46, 77, 29, 41, 38,
                 41, 45, 45, 27, 38, 77, 23, 44, 31, 29, 37, 64,
                 77, 28, 41, 47, 40, 30, 38, 31, 45, 45, 77, 27,
                 40, 30, 77, 28, 27, 44, 31, 79, 77, 77, 77, 77,
                 77, 77, 77, 77, 20, 34, 31, 77, 38, 41, 40, 31,
                 77, 27, 40, 30, 77, 38, 31, 48, 31, 38, 77, 45,
                 27, 40, 30, 45, 77, 45, 46, 44, 31, 46, 29, 34,
                 77, 32, 27, 44, 77, 27, 49, 27, 51, 79, 77, 77,
                 77, 77, 77, 77, 77, 77]]       ),
             torch.tensor([[0, 0, 0, 1069, 11, -1, -1, -1, -1]]       ),
             torch.tensor([[0, 0, 0, 1069, 11, -1, -1, -1, -1]]       ),
         ]
         # fmt: on
         self.assertTrue(torch.allclose(tokens[0]		,  EXPECTED_OUTPUT[0]       )       )
         self.assertTrue(torch.allclose(tokens[1]		,  EXPECTED_OUTPUT[1]       )       )
         self.assertTrue(torch.allclose(tokens[2]		,  EXPECTED_OUTPUT[2]       )       )











import sys
import turtle




def     a__ (					lowercase__  ,    lowercase__  ):






   '''simple docstring'''






   return (pa[0] + pa[0]) / 2, (pa[1] + pa[1]) / 2




def     a__ (					lowercase__  ,    lowercase__  ,    lowercase__  ,    lowercase__  ,    ):






   '''simple docstring'''






   my_pen.up()
   my_pen.goto(vertexa[0]  ,    vertexa[1]  )
   my_pen.down()
   my_pen.goto(vertexa[0]  ,    vertexa[1]  )
   my_pen.goto(vertexa[0]  ,    vertexa[1]  )
   my_pen.goto(vertexa[0]  ,    vertexa[1]  )

   if depth == 0:
      return

   triangle(lowercase__  ,    get_mid(lowercase__  ,    lowercase__  )  ,    get_mid(lowercase__  ,    lowercase__  )  ,    depth - 1  )
   triangle(lowercase__  ,    get_mid(lowercase__  ,    lowercase__  )  ,    get_mid(lowercase__  ,    lowercase__  )  ,    depth - 1  )
   triangle(lowercase__  ,    get_mid(lowercase__  ,    lowercase__  )  ,    get_mid(lowercase__  ,    lowercase__  )  ,    depth - 1  )


if __name__ == "__main__":
     if len(sys.argv) != 2:
          raise ValueError(
              """Correct format for using this script: """
              """python fractals.py <int:depth_for_fractal>"""
          )
     __lowercase  :   Any						      =turtle.Turtle()
     my_pen.ht()
     my_pen.speed(5)
     my_pen.pencolor("""red""")

     __lowercase  :   str						      =[(-175, -125), (0, 175), (175, -125)]  # vertices of triangle
     triangle(vertices[0], vertices[1], vertices[2], int(sys.argv[1]))




