

# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_a:     Dict							=      {"""configuration_timm_backbone""": ["""TimmBackboneConfig"""]}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_a:     Union[str, Any]							=      ["""TimmBackbone"""]


if TYPE_CHECKING:
				from .configuration_timm_backbone import TimmBackboneConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_timm_backbone import TimmBackbone

else:
				import sys

				_a:     Any							=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch
class       _lowerCAmelCase  (		unittest.TestCase							):

 """simple docstring"""
 SCREAMING_SNAKE_CASE_				:					List[Any]       						=JukeboxTokenizer
 SCREAMING_SNAKE_CASE_				:					str       						={
     "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

      UpperCamelCase						    =					JukeboxTokenizer.from_pretrained('openai/jukebox-1b-lyrics'   )
      UpperCamelCase						    =					tokenizer(**self.metas   )['input_ids']
      # fmt: off
      UpperCamelCase						    =					[
          torch.tensor([[
              0, 0, 0, 71_69, 5_07, 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, 10_69, 11]]   ),
          torch.tensor([[0, 0, 0, 10_69, 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			:			Union[str, Any]   ):






      """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, 10_69, 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, 10_69, 11, -1, -1, -1, -1]]   ),
          torch.tensor([[0, 0, 0, 10_69, 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]   )   )


