





from string import ascii_uppercase

__A				:    Dict       =   {str(ord(c) - 55): c for c in ascii_uppercase}





def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__			,			UpperCamelCase__ )  ->				Union[str, Any]:







			'''simple docstring'''

			if isinstance(a__			,			a__ ):
						raise TypeError('''int() can\'t convert non-string with explicit base''' )
			if num < 0:
						raise ValueError('''parameter must be positive int''' )
			if isinstance(a__			,			a__ ):
						raise TypeError('''\'str\' object cannot be interpreted as an integer''' )
			if isinstance(a__			,			a__ ):
						raise TypeError('''\'float\' object cannot be interpreted as an integer''' )
			if base in (0, 1):
						raise ValueError('''base must be >= 2''' )
			if base > 36:
						raise ValueError('''base must be <= 36''' )
			UpperCAmelCase   		=				''''''
			UpperCAmelCase   		=				0
			UpperCAmelCase   		=				0
			while div != 1:
						UpperCAmelCase		,			UpperCAmelCase   		=				divmod(a__			,			a__ )
						if base >= 11 and 9 < mod < 36:
									UpperCAmelCase   		=				ALPHABET_VALUES[str(a__ )]
						else:
									UpperCAmelCase   		=				str(a__ )
						new_value += actual_value
						UpperCAmelCase   		=				num // base
						UpperCAmelCase   		=				div
						if div == 0:
									return str(new_value[::-1] )
						elif div == 1:
									new_value += str(a__ )
									return str(new_value[::-1] )

			return new_value[::-1]


if __name__ == "__main__":
				import doctest

				doctest.testmod()

				for base in range(2, 37):
								for num in range(1_000):
												assert int(decimal_to_any(num, base), base) == num, (
												    num,
												    base,
												    decimal_to_any(num, base),
												    int(decimal_to_any(num, base), base),
												)






'''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 						lowerCAmelCase__   (      a ,					unittest.TestCase					):



 """simple docstring"""



 lowerCAmelCase__  					=      FlaxAutoencoderKL
 @property
 def       UpperCAmelCase__		(		self					:       Tuple			)  -> List[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      4
      __SCREAMING_SNAKE_CASE     =      3
      __SCREAMING_SNAKE_CASE     =      (32, 32)

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

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


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


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      {
          """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     =      self.dummy_input
      return init_dict, inputs_dict






