

import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
			import jax

@require_flax
class 				UpperCAmelCase_		(			__lowercase				,       unittest.TestCase   ):
							"""simple docstring"""







							UpperCAmelCase__       :						Any	    =    FlaxAutoencoderKL


							@property
							def 				__lowercase				(			self       )    ->    Optional[int]:
												_a	:    Union[str, Any]         =		4
												_a	:    Optional[int]         =		3
												_a	:    List[str]         =		(3_2, 3_2)

												_a	:    Dict         =		jax.random.PRNGKey(0       )
												_a	:    Tuple         =		jax.random.uniform(_a       ,							((batch_size, num_channels) + sizes)       )

												return {"sample": image, "prng_key": prng_key}




							def 				__lowercase				(			self       )    ->    Union[str, Any]:
												_a	:    int         =		{
												    '''block_out_channels''': [3_2, 6_4],
												    '''in_channels''': 3,
												    '''out_channels''': 3,
												    '''down_block_types''': ['''DownEncoderBlock2D''', '''DownEncoderBlock2D'''],
												    '''up_block_types''': ['''UpDecoderBlock2D''', '''UpDecoderBlock2D'''],
												    '''latent_channels''': 4,
												}
												_a	:    Tuple         =		self.dummy_input
												return init_dict, inputs_dict






from typing import TYPE_CHECKING

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


a__				=		{'''configuration_mmbt''': ['''MMBTConfig''']}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			a__				=		['''MMBTForClassification''', '''MMBTModel''', '''ModalEmbeddings''']


if TYPE_CHECKING:
			from .configuration_mmbt import MMBTConfig

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
			import sys

			a__				=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



