


import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict


@pytest.mark.parametrize(
    '''split_dict'''       ,			[
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train'''       ,			num_bytes=13_37       ,			num_examples=42       ,			dataset_name='''my_dataset'''  )}  ),
        SplitDict({'''train''': SplitInfo(name='''train'''       ,			num_bytes=13_37       ,			num_examples=42  )}  ),
        SplitDict({'''train''': SplitInfo()}  ),
    ]       ,			)
def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   split_dict._to_yaml_list()
			assert len(_UpperCamelCase  ) == len(_UpperCamelCase  )
			__lowercase 					=   SplitDict._from_yaml_list(_UpperCamelCase  )
			for split_name, split_info in split_dict.items():
						# dataset_name field is deprecated, and is therefore not part of the YAML dump
						__lowercase 					=   None
						# the split name of split_dict takes over the name of the split info object
						__lowercase 					=   split_name
			assert split_dict == reloaded





@pytest.mark.parametrize(
    '''split_info'''       ,			[SplitInfo(), SplitInfo(dataset_name=_UpperCamelCase  ), SplitInfo(dataset_name='''my_dataset'''  )]  )
def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   asdict(SplitDict({'''train''': split_info}  )  )
			assert "dataset_name" in split_dict_asdict["train"]
			assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name








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 	lowerCamelCase_       (				lowerCAmelCase__     ,     unittest.TestCase				):



					'''simple docstring'''







					__UpperCAmelCase            =				FlaxAutoencoderKL






					@property
					def A      (				self						)   ->			Optional[int]:







								'''simple docstring'''

								__lowercase 					=   4
								__lowercase 					=   3
								__lowercase 					=   (3_2, 3_2)

								__lowercase 					=   jax.random.PRNGKey(0						)
								__lowercase 					=   jax.random.uniform(snake_case_ ,       ((batch_size, num_channels) + sizes)						)

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






					def A      (				self						)   ->			Any:







								'''simple docstring'''

								__lowercase 					=   {
								    '''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,
								}
								__lowercase 					=   self.dummy_input
								return init_dict, inputs_dict


