

"""simple docstring"""



import unittest

import numpy as np
import torch

from diffusers import PNDMPipeline, PNDMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device


enable_full_determinism()



class      _A	(						unittest.TestCase					):




    """simple docstring"""




    @property
    def  lowercase					(		self							:     Any    )    ->       Dict:
         torch.manual_seed(0    )
         __snake_case				=							UNetaDModel(
             block_out_channels=(32, 64)	,      layers_per_block=2	,      sample_size=32	,      in_channels=3	,      out_channels=3	,      down_block_types=('''DownBlock2D''', '''AttnDownBlock2D''')	,      up_block_types=('''AttnUpBlock2D''', '''UpBlock2D''')	,      )
         return model







    def  lowercase					(		self							:     Tuple    )    ->       Dict:
         __snake_case				=							self.dummy_uncond_unet
         __snake_case				=							PNDMScheduler()

         __snake_case				=							PNDMPipeline(unet=A_	,      scheduler=A_    )
         pndm.to(A_    )
         pndm.set_progress_bar_config(disable=A_    )

         __snake_case				=							torch.manual_seed(0    )
         __snake_case				=							pndm(generator=A_	,      num_inference_steps=20	,      output_type='''numpy'''    ).images

         __snake_case				=							torch.manual_seed(0    )
         __snake_case				=							pndm(generator=A_	,      num_inference_steps=20	,      output_type='''numpy'''	,      return_dict=A_    )[0]

         __snake_case				=							image[0, -3:, -3:, -1]
         __snake_case				=							image_from_tuple[0, -3:, -3:, -1]

         assert image.shape == (1, 32, 32, 3)
         __snake_case				=							np.array([1.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0]    )

         assert np.abs(image_slice.flatten() - expected_slice    ).max() < 1E-2
         assert np.abs(image_from_tuple_slice.flatten() - expected_slice    ).max() < 1E-2






@slow
@require_torch
class      _A	(						unittest.TestCase					):




    """simple docstring"""




    def  lowercase					(		self							:     str    )    ->       Union[str, Any]:
         __snake_case				=							'''google/ddpm-cifar10-32'''

         __snake_case				=							UNetaDModel.from_pretrained(A_    )
         __snake_case				=							PNDMScheduler()

         __snake_case				=							PNDMPipeline(unet=A_	,      scheduler=A_    )
         pndm.to(A_    )
         pndm.set_progress_bar_config(disable=A_    )
         __snake_case				=							torch.manual_seed(0    )
         __snake_case				=							pndm(generator=A_	,      output_type='''numpy'''    ).images

         __snake_case				=							image[0, -3:, -3:, -1]

         assert image.shape == (1, 32, 32, 3)
         __snake_case				=							np.array([0.15_64, 0.1_46_45, 0.14_06, 0.1_47_15, 0.1_24_25, 0.1_40_45, 0.1_31_15, 0.1_21_75, 0.1_25]    )

         assert np.abs(image_slice.flatten() - expected_slice    ).max() < 1E-2
"""simple docstring"""



import re





def    SCREAMING_SNAKE_CASE       (     snake_case):
     return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]''',      str_)]





def    SCREAMING_SNAKE_CASE       (     snake_case):
     __snake_case				=							split_input(str_)
     return "".join(
         [''''''.join([char.capitalize() for char in sub_str]) for sub_str in string_split])





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case,      snake_case):
     try:
          __snake_case				=							split_input(snake_case)
          if upper:
               __snake_case				=							''''''.join(
                   [
                       separator.join([char.upper() for char in sub_str])
                       for sub_str in string_split
                   ])
          else:
               __snake_case				=							''''''.join(
                   [
                       separator.join([char.lower() for char in sub_str])
                       for sub_str in string_split
                   ])
          return res_str
     except IndexError:
          return "not valid string"





def    SCREAMING_SNAKE_CASE       (     snake_case):
     return to_simple_case(snake_case)





def    SCREAMING_SNAKE_CASE       (     snake_case):
     try:
          __snake_case				=							to_simple_case(snake_case)
          return res_str[0].lower() + res_str[1:]
     except IndexError:
          return "not valid string"





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case):
     return to_complex_case(snake_case,      snake_case,      '''_''')





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case):
     return to_complex_case(snake_case,      snake_case,      '''-''')


if __name__ == "__main__":
       __import__("doctest").testmod()