






"""simple docstring"""



import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch






class 							__SCREAMING_SNAKE_CASE						(				unittest.TestCase		):
							snake_case_     =							JukeboxTokenizer
							snake_case_     =							{
							    '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 						_UpperCamelCase       (			self      :						Optional[Any]							):
													'''simple docstring'''





													import torch

													A__						:  List[str]		  =  JukeboxTokenizer.from_pretrained("""openai/jukebox-1b-lyrics"""							)
													A__						:  List[Any]		  =  tokenizer(**self.metas							)['''input_ids''']
													# fmt: off
													A__						:  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 						_UpperCamelCase       (			self      :						Optional[Any]							):
													'''simple docstring'''





													import torch

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














"""simple docstring"""



from __future__ import annotations

A_    =							[]




def      _lowerCAmelCase		(							UpperCAmelCase__       :					list[list[int]],						UpperCAmelCase__       :					int,						UpperCAmelCase__       :					int      )		->bool:
						for i in range(len(UpperCAmelCase__      )      ):
												if board[row][i] == 1:
																		return False
						for i in range(len(UpperCAmelCase__      )      ):
												if board[i][column] == 1:
																		return False
						for i, j in zip(range(UpperCAmelCase__,						-1,						-1      ),						range(UpperCAmelCase__,						-1,						-1      )      ):
												if board[i][j] == 1:
																		return False
						for i, j in zip(range(UpperCAmelCase__,						-1,						-1      ),						range(UpperCAmelCase__,						len(UpperCAmelCase__      )      )      ):
												if board[i][j] == 1:
																		return False
						return True




def      _lowerCAmelCase		(							UpperCAmelCase__       :					list[list[int]],						UpperCAmelCase__       :					int      )		->bool:
						if row >= len(UpperCAmelCase__      ):
												solution.append(UpperCAmelCase__      )
												printboard(UpperCAmelCase__      )
												print()
												return True
						for i in range(len(UpperCAmelCase__      )      ):
												if is_safe(UpperCAmelCase__,						UpperCAmelCase__,						UpperCAmelCase__      ):
																		A__						:  Tuple		  =  1
																		solve(UpperCAmelCase__,						row + 1      )
																		A__						:  Optional[int]		  =  0
						return False




def      _lowerCAmelCase		(							UpperCAmelCase__       :					list[list[int]]      )		->None:
						for i in range(len(UpperCAmelCase__      )      ):
												for j in range(len(UpperCAmelCase__      )      ):
																		if board[i][j] == 1:
																								print("""Q""",						end=""" """      )
																		else:
																								print(""".""",						end=""" """      )
												print()


# n=int(input("The no. of queens"))
A_    =							8
A_    =							[[0 for i in range(n)] for j in range(n)]
solve(board, 0)

print('''The total no. of solutions are :''', len(solution))






