


import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch







class     _lowercase				(							unittest.TestCase):


       """simple docstring"""




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





       @require_torch
       def 		lowerCAmelCase  (     self							:    Tuple ):


             '''simple docstring'''



             import torch

             lowerCamelCase__	:       Union[str, Any]					=						JukeboxTokenizer.from_pretrained("openai/jukebox-1b-lyrics" )
             lowerCamelCase__	:       Optional[Any]					=						tokenizer(**self.metas )["input_ids"]
             # fmt: off
             lowerCamelCase__	:       Union[str, 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 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



             import torch

             lowerCamelCase__	:       Optional[Any]					=						JukeboxTokenizer.from_pretrained("openai/jukebox-5b-lyrics" )
             lowerCamelCase__	:       int					=						tokenizer(**self.metas )["input_ids"]
             # fmt: off
             lowerCamelCase__	:       str					=						[
                 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    lowercase_	(	_A    :					int		):

      """simple docstring"""




      if not isinstance(_A					,      _A		):
            lowerCamelCase__	:       List[str]					=						F"Input value of [number={number}] must be an integer"
            raise TypeError(_A		)
      if number < 0:
            return False
      lowerCamelCase__	:       Dict					=						number * number
      while number > 0:
            if number % 10 != number_square % 10:
                  return False
            number //= 10
            number_square //= 10
      return True


if __name__ == "__main__":
    import doctest

    doctest.testmod()


