




import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
		import optax
		from flax.training.common_utils import onehot

		from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
		from transformers.models.ta.modeling_flax_ta import shift_tokens_right


@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class 							__UpperCamelCase			( unittest.TestCase  ):





				'''simple docstring'''



				@slow
				def       __snake_case		( self						):
											lowerCAmelCase   =		FlaxMTaForConditionalGeneration.from_pretrained('''google/mt5-small'''						)
											lowerCAmelCase   =		AutoTokenizer.from_pretrained('''google/mt5-small'''						)

											lowerCAmelCase   =		tokenizer('''Hello there'''       , return_tensors='''np'''						).input_ids
											lowerCAmelCase   =		tokenizer('''Hi I am'''       , return_tensors='''np'''						).input_ids

											lowerCAmelCase   =		shift_tokens_right(UpperCAmelCase_       , model.config.pad_token_id       , model.config.decoder_start_token_id						)

											lowerCAmelCase   =		model(UpperCAmelCase_       , decoder_input_ids=UpperCAmelCase_						).logits
											lowerCAmelCase   =		optax.softmax_cross_entropy(UpperCAmelCase_       , onehot(UpperCAmelCase_       , logits.shape[-1]						)						).mean()

											lowerCAmelCase   =		-(labels.shape[-1] * loss.item())

											lowerCAmelCase   =		-84.9127
											self.assertTrue(abs(mtf_score - EXPECTED_SCORE						) < 1E-4						)









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_						={
    """configuration_jukebox""": [
        """JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """JukeboxConfig""",
        """JukeboxPriorConfig""",
        """JukeboxVQVAEConfig""",
    ],
    """tokenization_jukebox""": ["""JukeboxTokenizer"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """JukeboxModel""",
		    """JukeboxPreTrainedModel""",
		    """JukeboxVQVAE""",
		    """JukeboxPrior""",
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

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



