



import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch

class 	lowerCamelCase_    ( 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 			SCREAMING_SNAKE_CASE__		(	self      :			Dict )      ->				Dict:
									import torch

									A							:					Optional[Any]              =						JukeboxTokenizer.from_pretrained("openai/jukebox-1b-lyrics" )
									A							:					Tuple              =						tokenizer(**self.metas )["input_ids"]
									# fmt: off
									A							:					List[Any]              =						[
									    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 			SCREAMING_SNAKE_CASE__		(	self      :			int )      ->				Tuple:
									import torch

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




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__SCREAMING_SNAKE_CASE           =  {
    """configuration_altclip""": [
        """ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AltCLIPConfig""",
        """AltCLIPTextConfig""",
        """AltCLIPVisionConfig""",
    ],
    """processing_altclip""": ["""AltCLIPProcessor"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__SCREAMING_SNAKE_CASE           =  [
							    """ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """AltCLIPPreTrainedModel""",
							    """AltCLIPModel""",
							    """AltCLIPTextModel""",
							    """AltCLIPVisionModel""",
							]


if TYPE_CHECKING:
							from .configuration_altclip import (
							    ALTCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    AltCLIPConfig,
							    AltCLIPTextConfig,
							    AltCLIPVisionConfig,
							)
							from .processing_altclip import AltCLIPProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_altclip import (
														    ALTCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
														    AltCLIPModel,
														    AltCLIPPreTrainedModel,
														    AltCLIPTextModel,
														    AltCLIPVisionModel,
														)


else:
							import sys

							__SCREAMING_SNAKE_CASE           =  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)