




'''simple docstring'''



import gc
import unittest

from parameterized import parameterized

from diffusers import FlaxUNetaDConditionModel
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import load_hf_numpy, require_flax, slow


if is_flax_available():
 import jax
 import jax.numpy as jnp







@slow
@require_flax
class 		lowercase_   (			unittest.TestCase       ):


   """simple docstring"""

   def 							lowerCAmelCase_      (   self :     Optional[Any]  ,				__lowerCamelCase :     Dict  ,				__lowerCamelCase :     Optional[Any]   ):

      """simple docstring"""
      return F"""gaussian_noise_s={seed}_shape={"_".join([str(__lowerCamelCase   ) for s in shape]   )}.npy"""



   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      # clean up the VRAM after each test
      super().tearDown()
      gc.collect()



   def 							lowerCAmelCase_      (   self :     Optional[Any]  ,				__lowerCamelCase :     Dict=0  ,				__lowerCamelCase :     Any=(4, 4, 6_4, 6_4)  ,				__lowerCamelCase :     List[str]=False   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				jnp.bfloataa if fpaa else jnp.floataa
      _SCREAMING_SNAKE_CASE	=				jnp.array(load_hf_numpy(self.get_file_format(__lowerCamelCase  ,				__lowerCamelCase   )   )  ,				dtype=__lowerCamelCase   )
      return image



   def 							lowerCAmelCase_      (   self :     List[str]  ,				__lowerCamelCase :     Optional[int]=False  ,				__lowerCamelCase :     Any="CompVis/stable-diffusion-v1-4"   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				jnp.bfloataa if fpaa else jnp.floataa
      _SCREAMING_SNAKE_CASE	=				"bf16" if fpaa else None

      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				FlaxUNetaDConditionModel.from_pretrained(
          __lowerCamelCase  ,				subfolder="unet"  ,				dtype=__lowerCamelCase  ,				revision=__lowerCamelCase   )
      return model, params



   def 							lowerCAmelCase_      (   self :     Tuple  ,				__lowerCamelCase :     int=0  ,				__lowerCamelCase :     Union[str, Any]=(4, 7_7, 7_6_8)  ,				__lowerCamelCase :     int=False   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				jnp.bfloataa if fpaa else jnp.floataa
      _SCREAMING_SNAKE_CASE	=				jnp.array(load_hf_numpy(self.get_file_format(__lowerCamelCase  ,				__lowerCamelCase   )   )  ,				dtype=__lowerCamelCase   )
      return hidden_states



   @parameterized.expand(
       [
           # fmt: off
           [8_3, 4, [-0.2_3_2_3, -0.1_3_0_4, 0.0_8_1_3, -0.3_0_9_3, -0.0_9_1_9, -0.1_5_7_1, -0.1_1_2_5, -0.5_8_0_6]],
           [1_7, 0.5_5, [-0.0_8_3_1, -0.2_4_4_3, 0.0_9_0_1, -0.0_9_1_9, 0.3_3_9_6, 0.0_1_0_3, -0.3_7_4_3, 0.0_7_0_1]],
           [8, 0.8_9, [-0.4_8_6_3, 0.0_8_5_9, 0.0_8_7_5, -0.1_6_5_8, 0.9_1_9_9, -0.0_1_1_4, 0.4_8_3_9, 0.4_6_3_9]],
           [3, 1_0_0_0, [-0.5_6_4_9, 0.2_4_0_2, -0.5_5_1_8, 0.1_2_4_8, 1.1_3_2_8, -0.2_4_4_3, -0.0_3_2_5, -1.0_0_7_8]],
           # fmt: on
       ]   )
   def 							lowerCAmelCase_      (   self :     List[Any]  ,				__lowerCamelCase :     Union[str, Any]  ,				__lowerCamelCase :     Dict  ,				__lowerCamelCase :     Any   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.get_unet_model(model_id="CompVis/stable-diffusion-v1-4"  ,				fpaa=__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				self.get_latents(__lowerCamelCase  ,				fpaa=__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				self.get_encoder_hidden_states(__lowerCamelCase  ,				fpaa=__lowerCamelCase   )

      _SCREAMING_SNAKE_CASE	=				model.apply(
          {"params": params}  ,				__lowerCamelCase  ,				jnp.array(__lowerCamelCase  ,				dtype=jnp.intaa   )  ,				encoder_hidden_states=__lowerCamelCase  ,				).sample

      assert sample.shape == latents.shape

      _SCREAMING_SNAKE_CASE	=				jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())   )  ,				dtype=jnp.floataa   )
      _SCREAMING_SNAKE_CASE	=				jnp.array(__lowerCamelCase  ,				dtype=jnp.floataa   )

      # Found torch (float16) and flax (bfloat16) outputs to be within this tolerance, in the same hardware
      assert jnp.allclose(__lowerCamelCase  ,				__lowerCamelCase  ,				atol=1e-2   )



   @parameterized.expand(
       [
           # fmt: off
           [8_3, 4, [0.1_5_1_4, 0.0_8_0_7, 0.1_6_2_4, 0.1_0_1_6, -0.1_8_9_6, 0.0_2_6_3, 0.0_6_7_7, 0.2_3_1_0]],
           [1_7, 0.5_5, [0.1_1_6_4, -0.0_2_1_6, 0.0_1_7_0, 0.1_5_8_9, -0.3_1_2_0, 0.1_0_0_5, -0.0_5_8_1, -0.1_4_5_8]],
           [8, 0.8_9, [-0.1_7_5_8, -0.0_1_6_9, 0.1_0_0_4, -0.1_4_1_1, 0.1_3_1_2, 0.1_1_0_3, -0.1_9_9_6, 0.2_1_3_9]],
           [3, 1_0_0_0, [0.1_2_1_4, 0.0_3_5_2, -0.0_7_3_1, -0.1_5_6_2, -0.0_9_9_4, -0.0_9_0_6, -0.2_3_4_0, -0.0_5_3_9]],
           # fmt: on
       ]   )
   def 							lowerCAmelCase_      (   self :     Optional[Any]  ,				__lowerCamelCase :     List[str]  ,				__lowerCamelCase :     Dict  ,				__lowerCamelCase :     Optional[int]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.get_unet_model(model_id="stabilityai/stable-diffusion-2"  ,				fpaa=__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				self.get_latents(__lowerCamelCase  ,				shape=(4, 4, 9_6, 9_6)  ,				fpaa=__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				self.get_encoder_hidden_states(__lowerCamelCase  ,				shape=(4, 7_7, 1_0_2_4)  ,				fpaa=__lowerCamelCase   )

      _SCREAMING_SNAKE_CASE	=				model.apply(
          {"params": params}  ,				__lowerCamelCase  ,				jnp.array(__lowerCamelCase  ,				dtype=jnp.intaa   )  ,				encoder_hidden_states=__lowerCamelCase  ,				).sample

      assert sample.shape == latents.shape

      _SCREAMING_SNAKE_CASE	=				jnp.asarray(jax.device_get((sample[-1, -2:, -2:, :2].flatten())   )  ,				dtype=jnp.floataa   )
      _SCREAMING_SNAKE_CASE	=				jnp.array(__lowerCamelCase  ,				dtype=jnp.floataa   )

      # Found torch (float16) and flax (bfloat16) outputs to be within this tolerance, on the same hardware
      assert jnp.allclose(__lowerCamelCase  ,				__lowerCamelCase  ,				atol=1e-2   )







'''simple docstring'''



def 			SCREAMING_SNAKE_CASE_			(							__A    :			list  )			->			list:
   if len(__A  ) <= 1:
      return lst

   _SCREAMING_SNAKE_CASE	=				1

   while i < len(__A  ):
      if lst[i - 1] <= lst[i]:
         i += 1
      else:
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				lst[i], lst[i - 1]
         i -= 1
         if i == 0:
            _SCREAMING_SNAKE_CASE	=				1

   return lst


if __name__ == "__main__":
 lowerCamelCase_			=						input('Enter numbers separated by a comma:\n').strip()
 lowerCamelCase_			=						[int(item) for item in user_input.split(',')]
 print(gnome_sort(unsorted))

