

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   __lowercase				( UpperCAmelCase_		,       unittest.TestCase	):




			"""simple docstring"""







			_UpperCAmelCase   :							Optional[int]										=     FlaxAutoencoderKL



			@property
			def        _SCREAMING_SNAKE_CASE			( self  :     Tuple):
									SCREAMING_SNAKE_CASE_: Tuple  		=       4
									SCREAMING_SNAKE_CASE_: List[str]  		=       3
									SCREAMING_SNAKE_CASE_: str  		=       (32, 32)

									SCREAMING_SNAKE_CASE_: Dict  		=       jax.random.PRNGKey(0)
									SCREAMING_SNAKE_CASE_: List[str]  		=       jax.random.uniform(lowerCAmelCase__   ,						((batch_size, num_channels) + sizes))

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




			def        _SCREAMING_SNAKE_CASE			( self  :     Dict):
									SCREAMING_SNAKE_CASE_: Dict  		=       {
									    "block_out_channels": [32, 64],
									    "in_channels": 3,
									    "out_channels": 3,
									    "down_block_types": ["DownEncoderBlock2D", "DownEncoderBlock2D"],
									    "up_block_types": ["UpDecoderBlock2D", "UpDecoderBlock2D"],
									    "latent_channels": 4,
									}
									SCREAMING_SNAKE_CASE_: Any  		=       self.dummy_input
									return init_dict, inputs_dict









from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
						if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
						from .pipeline_unclip import UnCLIPPipeline
						from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
						from .text_proj import UnCLIPTextProjModel






