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     a_			(						unittest.TestCase						):






 '''simple docstring'''






 def 		__snake_case						(      self :  List[str]      ,   lowercase__ :  int      ,   lowercase__ :  Tuple):







        '''simple docstring'''



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




 def 		__snake_case						(      self :  List[Any]):







        '''simple docstring'''



        super().tearDown()
        gc.collect()




 def 		__snake_case						(      self :  int      ,   lowercase__ :  str=0      ,   lowercase__ :  List[str]=(4, 4, 64, 64)      ,   lowercase__ :  List[Any]=False):







        '''simple docstring'''



        lowerCAmelCase__					     = jnp.bfloataa if fpaa else jnp.floataa
        lowerCAmelCase__					     = jnp.array(load_hf_numpy(self.get_file_format(lowercase__      ,   lowercase__))      ,   dtype=lowercase__)
        return image




 def 		__snake_case						(      self :  Any      ,   lowercase__ :  Optional[Any]=False      ,   lowercase__ :  Dict="CompVis/stable-diffusion-v1-4"):







        '''simple docstring'''



        lowerCAmelCase__					     = jnp.bfloataa if fpaa else jnp.floataa
        lowerCAmelCase__					     = 'bf16' if fpaa else None

        lowerCAmelCase__     , lowerCAmelCase__					     = FlaxUNetaDConditionModel.from_pretrained(
            lowercase__      ,   subfolder='unet'      ,   dtype=lowercase__      ,   revision=lowercase__)
        return model, params




 def 		__snake_case						(      self :  str      ,   lowercase__ :  Optional[int]=0      ,   lowercase__ :  Any=(4, 77, 768)      ,   lowercase__ :  Optional[int]=False):







        '''simple docstring'''



        lowerCAmelCase__					     = jnp.bfloataa if fpaa else jnp.floataa
        lowerCAmelCase__					     = jnp.array(load_hf_numpy(self.get_file_format(lowercase__      ,   lowercase__))      ,   dtype=lowercase__)
        return hidden_states




 @parameterized.expand(
     [
         # fmt: off
         [83, 4, [-0.2_323, -0.1_304, 0.0_813, -0.3_093, -0.0_919, -0.1_571, -0.1_125, -0.5_806]],
         [17, 0.55, [-0.0_831, -0.2_443, 0.0_901, -0.0_919, 0.3_396, 0.0_103, -0.3_743, 0.0_701]],
         [8, 0.89, [-0.4_863, 0.0_859, 0.0_875, -0.1_658, 0.9_199, -0.0_114, 0.4_839, 0.4_639]],
         [3, 1_000, [-0.5_649, 0.2_402, -0.5_518, 0.1_248, 1.1_328, -0.2_443, -0.0_325, -1.0_078]],
         # fmt: on
     ])
 def 		__snake_case						(      self :  Tuple      ,   lowercase__ :  str      ,   lowercase__ :  Any      ,   lowercase__ :  Any):







        '''simple docstring'''



        lowerCAmelCase__     , lowerCAmelCase__					     = self.get_unet_model(model_id='CompVis/stable-diffusion-v1-4'      ,   fpaa=lowercase__)
        lowerCAmelCase__					     = self.get_latents(lowercase__      ,   fpaa=lowercase__)
        lowerCAmelCase__					     = self.get_encoder_hidden_states(lowercase__      ,   fpaa=lowercase__)

        lowerCAmelCase__					     = model.apply(
            {'params': params}      ,   lowercase__      ,   jnp.array(lowercase__      ,   dtype=jnp.intaa)      ,   encoder_hidden_states=lowercase__      ,   ).sample

        assert sample.shape == latents.shape

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

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




 @parameterized.expand(
     [
         # fmt: off
         [83, 4, [0.1_514, 0.0_807, 0.1_624, 0.1_016, -0.1_896, 0.0_263, 0.0_677, 0.2_310]],
         [17, 0.55, [0.1_164, -0.0_216, 0.0_170, 0.1_589, -0.3_120, 0.1_005, -0.0_581, -0.1_458]],
         [8, 0.89, [-0.1_758, -0.0_169, 0.1_004, -0.1_411, 0.1_312, 0.1_103, -0.1_996, 0.2_139]],
         [3, 1_000, [0.1_214, 0.0_352, -0.0_731, -0.1_562, -0.0_994, -0.0_906, -0.2_340, -0.0_539]],
         # fmt: on
     ])
 def 		__snake_case						(      self :  Tuple      ,   lowercase__ :  Tuple      ,   lowercase__ :  List[str]      ,   lowercase__ :  Any):







        '''simple docstring'''



        lowerCAmelCase__     , lowerCAmelCase__					     = self.get_unet_model(model_id='stabilityai/stable-diffusion-2'      ,   fpaa=lowercase__)
        lowerCAmelCase__					     = self.get_latents(lowercase__      ,   shape=(4, 4, 96, 96)      ,   fpaa=lowercase__)
        lowerCAmelCase__					     = self.get_encoder_hidden_states(lowercase__      ,   shape=(4, 77, 1_024)      ,   fpaa=lowercase__)

        lowerCAmelCase__					     = model.apply(
            {'params': params}      ,   lowercase__      ,   jnp.array(lowercase__      ,   dtype=jnp.intaa)      ,   encoder_hidden_states=lowercase__      ,   ).sample

        assert sample.shape == latents.shape

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

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

def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       lowerCAmelCase__					     = len(lowerCAmelCase__     )
       for i in range(lowerCAmelCase__     ):
              for j in range(i + 1     ,  lowerCAmelCase__     ):
                     if numbers[j] < numbers[i]:
                            lowerCAmelCase__     , lowerCAmelCase__					     = numbers[j], numbers[i]
       return numbers


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