

"""simple docstring"""


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      __a							(UpperCamelCase_   ,	unittest.TestCase):






     '''simple docstring'''
     _SCREAMING_SNAKE_CASE						:Any       = FlaxAutoencoderKL

     @property
     def 					_a			(						self  )  ->      List[Any]:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__   :      Tuple      		=	4
           SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	3
           SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	(32, 32)

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

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





     def 					_a			(						self  )  ->      Optional[int]:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__   :      List[str]      		=	{
               """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__   :      Tuple      		=	self.dummy_input
           return init_dict, inputs_dict







"""simple docstring"""


import re
from pathlib import Path
from unittest import TestCase

import pytest

@pytest.mark.integration
class      __a							(UpperCamelCase_):






     '''simple docstring'''

     def 					_a			(						self	,    _a  )  ->      Union[str, Any]:


           """simple docstring"""


           with open(_a	,    encoding="""utf-8"""  ) as input_file:
                 SCREAMING_SNAKE_CASE__   :      str      		=	re.compile(r"""(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"""  )
                 SCREAMING_SNAKE_CASE__   :      Optional[Any]      		=	input_file.read()
                 SCREAMING_SNAKE_CASE__   :      str      		=	regexp.search(_a  )

           return match

     def 					_a			(						self	,    _a  )  ->      Optional[Any]:


           """simple docstring"""


           with open(_a	,    encoding="""utf-8"""  ) as input_file:
                 SCREAMING_SNAKE_CASE__   :      Tuple      		=	re.compile(r"""#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"""	,    re.DOTALL  )
                 SCREAMING_SNAKE_CASE__   :      List[Any]      		=	input_file.read()
                 # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
                 SCREAMING_SNAKE_CASE__   :      Dict      		=	regexp.finditer(_a  )

           SCREAMING_SNAKE_CASE__   :      int      		=	[match for match in matches if match is not None and match.group(1  ) is not None]
           return matches[0] if matches else None

     def 					_a			(						self  )  ->      str:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__   :      Optional[int]      		=	Path("""./datasets"""  )
           SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	list(dataset_paths.absolute().glob("""**/*.py"""  )  )

           for dataset in dataset_files:
                 if self._no_encoding_on_file_open(str(_a  )  ):
                       raise AssertionError(f'''open(...) must use utf-8 encoding in {dataset}'''  )





     def 					_a			(						self  )  ->      Dict:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__   :      Union[str, Any]      		=	Path("""./datasets"""  )
           SCREAMING_SNAKE_CASE__   :      List[str]      		=	list(dataset_paths.absolute().glob("""**/*.py"""  )  )

           for dataset in dataset_files:
                 if self._no_print_statements(str(_a  )  ):
                       raise AssertionError(f'''print statement found in {dataset}. Use datasets.logger/logging instead.'''  )




