





import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch







class 			__A       (      unittest.TestCase  ):




      """simple docstring"""







      UpperCAmelCase__						=      JukeboxTokenizer
      UpperCAmelCase__						=      {
          """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 				__snake_case			(		self):



             """simple docstring"""





             import torch

             _lowerCamelCase							:     str	=		JukeboxTokenizer.from_pretrained('''openai/jukebox-1b-lyrics''')
             _lowerCamelCase							:     List[str]	=		tokenizer(**self.metas)['''input_ids''']
             # fmt: off
             _lowerCamelCase							:     List[Any]	=		[
                 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 				__snake_case			(		self):



             """simple docstring"""





             import torch

             _lowerCamelCase							:     List[Any]	=		JukeboxTokenizer.from_pretrained('''openai/jukebox-5b-lyrics''')
             _lowerCamelCase							:     List[Any]	=		tokenizer(**self.metas)['''input_ids''']
             # fmt: off
             _lowerCamelCase							:     int	=		[
                 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]))








def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_      ):
       return round(float(moles / volume      ) * nfactor      )




def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_      ):
       return round(float((moles * 0.0_8_2_1 * temperature) / (volume)      )      )




def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_      ):
       return round(float((moles * 0.0_8_2_1 * temperature) / (pressure)      )      )




def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_      ):
       return round(float((pressure * volume) / (0.0_8_2_1 * moles)      )      )


if __name__ == "__main__":
       import doctest

       doctest.testmod()

