






'''simple docstring'''







import unittest

from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch

class _lowercase			(       unittest.TestCase	):
							a          = JukeboxTokenizer
							a          = {
							    """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 	lowerCamelCase_       (							self:       str  ):
														import torch

														lowerCamelCase__      :			Optional[int] 						= JukeboxTokenizer.from_pretrained("""openai/jukebox-1b-lyrics"""  )
														lowerCamelCase__      :			Tuple 						= tokenizer(**self.metas  )["""input_ids"""]
														# fmt: off
														lowerCamelCase__      :			List[str] 						= [
														    torch.tensor([[
														        0, 0, 0, 7_169, 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, 1_069, 11]]  ),
														    torch.tensor([[0, 0, 0, 1_069, 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:       Optional[Any]  ):
														import torch

														lowerCamelCase__      :			str 						= JukeboxTokenizer.from_pretrained("""openai/jukebox-5b-lyrics"""  )
														lowerCamelCase__      :			Tuple 						= tokenizer(**self.metas  )["""input_ids"""]
														# fmt: off
														lowerCamelCase__      :			Any 						= [
														    torch.tensor([[
														        0, 0, 0, 1_069, 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, 1_069, 11, -1, -1, -1, -1]]  ),
														    torch.tensor([[0, 0, 0, 1_069, 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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A			:    Dict					  ={
    '''configuration_git''': ['''GIT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GitConfig''', '''GitVisionConfig'''],
    '''processing_git''': ['''GitProcessor'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A			:    Union[str, Any]					  =[
			    '''GIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
			    '''GitForCausalLM''',
			    '''GitModel''',
			    '''GitPreTrainedModel''',
			    '''GitVisionModel''',
			]

if TYPE_CHECKING:
			from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
			from .processing_git import GitProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_git import (
						    GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    GitForCausalLM,
						    GitModel,
						    GitPreTrainedModel,
						    GitVisionModel,
						)

else:
			import sys

			_A			:    Dict					  =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

