


import unittest

import numpy as np
import torch

from diffusers import DDPMPipeline, DDPMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, slow, torch_device


enable_full_determinism()

class  UpperCamelCase__ ( unittest.TestCase			):






      @property
      def 	__lowercase(     self					:   List[str]   )  -> List[Any]:
           torch.manual_seed(0   )
           UpperCamelCase__							:  int								=     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					:   Dict   )  -> Optional[Any]:
           UpperCamelCase__							:  Tuple								=     '''cpu'''
           UpperCamelCase__							:  List[Any]								=     self.dummy_uncond_unet
           UpperCamelCase__							:  List[str]								=     DDPMScheduler()

           UpperCamelCase__							:  List[str]								=     DDPMPipeline(unet=__lowerCamelCase,		scheduler=__lowerCamelCase   )
           ddpm.to(__lowerCamelCase   )
           ddpm.set_progress_bar_config(disable=__lowerCamelCase   )

           UpperCamelCase__							:  Any								=     torch.Generator(device=__lowerCamelCase   ).manual_seed(0   )
           UpperCamelCase__							:  List[Any]								=     ddpm(generator=__lowerCamelCase,		num_inference_steps=2,		output_type='''numpy'''   ).images

           UpperCamelCase__							:  Optional[Any]								=     torch.Generator(device=__lowerCamelCase   ).manual_seed(0   )
           UpperCamelCase__							:  Any								=     ddpm(generator=__lowerCamelCase,		num_inference_steps=2,		output_type='''numpy''',		return_dict=__lowerCamelCase   )[0]

           UpperCamelCase__							:  List[Any]								=     image[0, -3:, -3:, -1]
           UpperCamelCase__							:  int								=     image_from_tuple[0, -3:, -3:, -1]

           assert image.shape == (1, 32, 32, 3)
           UpperCamelCase__							:  str								=     np.array(
               [9.9_56e-01, 5.7_85e-01, 4.6_75e-01, 9.9_30e-01, 0.0, 1.000, 1.1_99e-03, 2.6_48e-04, 5.1_01e-04]   )

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






      def 	__lowercase(     self					:   Union[str, Any]   )  -> List[Any]:
           UpperCamelCase__							:  Optional[Any]								=     self.dummy_uncond_unet
           UpperCamelCase__							:  Any								=     DDPMScheduler(prediction_type='''sample'''   )

           UpperCamelCase__							:  int								=     DDPMPipeline(unet=__lowerCamelCase,		scheduler=__lowerCamelCase   )
           ddpm.to(__lowerCamelCase   )
           ddpm.set_progress_bar_config(disable=__lowerCamelCase   )

           UpperCamelCase__							:  Union[str, Any]								=     torch.manual_seed(0   )
           UpperCamelCase__							:  Any								=     ddpm(generator=__lowerCamelCase,		num_inference_steps=2,		output_type='''numpy'''   ).images

           UpperCamelCase__							:  Optional[int]								=     torch.manual_seed(0   )
           UpperCamelCase__							:  List[Any]								=     ddpm(generator=__lowerCamelCase,		num_inference_steps=2,		output_type='''numpy'''   )[0]

           UpperCamelCase__							:  Dict								=     image[0, -3:, -3:, -1]
           UpperCamelCase__							:  Any								=     image_eps[0, -3:, -3:, -1]

           assert image.shape == (1, 32, 32, 3)
           UpperCamelCase__							:  Optional[int]								=     1e-2 if torch_device != '''mps''' else 3e-2
           assert np.abs(image_slice.flatten() - image_eps_slice.flatten()   ).max() < tolerance

@slow
@require_torch_gpu
class  UpperCamelCase__ ( unittest.TestCase			):






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

           UpperCamelCase__							:  Dict								=     UNetaDModel.from_pretrained(__lowerCamelCase   )
           UpperCamelCase__							:  Any								=     DDPMScheduler.from_pretrained(__lowerCamelCase   )

           UpperCamelCase__							:  Tuple								=     DDPMPipeline(unet=__lowerCamelCase,		scheduler=__lowerCamelCase   )
           ddpm.to(__lowerCamelCase   )
           ddpm.set_progress_bar_config(disable=__lowerCamelCase   )

           UpperCamelCase__							:  Tuple								=     torch.manual_seed(0   )
           UpperCamelCase__							:  List[str]								=     ddpm(generator=__lowerCamelCase,		output_type='''numpy'''   ).images

           UpperCamelCase__							:  Any								=     image[0, -3:, -3:, -1]

           assert image.shape == (1, 32, 32, 3)
           UpperCamelCase__							:  List[Any]								=     np.array([0.4200, 0.3588, 0.1939, 0.3847, 0.3382, 0.2647, 0.4155, 0.3582, 0.3385]   )
           assert np.abs(image_slice.flatten() - expected_slice   ).max() < 1e-2








import math







def 						_lowercase       (     __lowerCamelCase			:					int			)  ->   str:





     '''simple docstring'''





     if number == 0:
          UpperCamelCase__							:  List[str]								=     '''Zero'''
          return words
     else:
          UpperCamelCase__							:  str								=     math.logaa(__lowerCamelCase			)
          UpperCamelCase__							:  Tuple								=     digits + 1
          UpperCamelCase__							:  List[str]								=     {}
          UpperCamelCase__							:  Optional[int]								=     ''''''
          UpperCamelCase__							:  str								=     '''One'''
          UpperCamelCase__							:  int								=     '''Two'''
          UpperCamelCase__							:  str								=     '''Three'''
          UpperCamelCase__							:  Dict								=     '''Four'''
          UpperCamelCase__							:  List[str]								=     '''Five'''
          UpperCamelCase__							:  int								=     '''Six'''
          UpperCamelCase__							:  str								=     '''Seven'''
          UpperCamelCase__							:  List[str]								=     '''Eight'''
          UpperCamelCase__							:  Tuple								=     '''Nine'''

          UpperCamelCase__							:  int								=     {}
          UpperCamelCase__							:  Any								=     ''''''
          UpperCamelCase__							:  Union[str, Any]								=     '''Twenty'''
          UpperCamelCase__							:  Optional[int]								=     '''Thirty'''
          UpperCamelCase__							:  Optional[int]								=     '''Forty'''
          UpperCamelCase__							:  Any								=     '''Fifty'''
          UpperCamelCase__							:  Optional[Any]								=     '''Sixty'''
          UpperCamelCase__							:  Union[str, Any]								=     '''Seventy'''
          UpperCamelCase__							:  Tuple								=     '''Eighty'''
          UpperCamelCase__							:  Dict								=     '''Ninety'''

          UpperCamelCase__							:  Any								=     {}
          UpperCamelCase__							:  str								=     '''Ten'''
          UpperCamelCase__							:  List[Any]								=     '''Eleven'''
          UpperCamelCase__							:  List[str]								=     '''Twelve'''
          UpperCamelCase__							:  List[str]								=     '''Thirteen'''
          UpperCamelCase__							:  List[Any]								=     '''Fourteen'''
          UpperCamelCase__							:  Union[str, Any]								=     '''Fifteen'''
          UpperCamelCase__							:  str								=     '''Sixteen'''
          UpperCamelCase__							:  int								=     '''Seventeen'''
          UpperCamelCase__							:  Tuple								=     '''Eighteen'''
          UpperCamelCase__							:  int								=     '''Nineteen'''

          UpperCamelCase__							:  Union[str, Any]								=     {}
          UpperCamelCase__							:  Dict								=     '''Hundred,'''
          UpperCamelCase__							:  Union[str, Any]								=     '''Thousand,'''
          UpperCamelCase__							:  List[Any]								=     '''Lakh,'''
          UpperCamelCase__							:  str								=     '''Crore,'''

          UpperCamelCase__							:  int								=     number
          UpperCamelCase__							:  int								=     ''''''
          UpperCamelCase__							:  int								=     0
          UpperCamelCase__							:  int								=     int(__lowerCamelCase			)
          while counter < digits:
               UpperCamelCase__							:  str								=     temp_num % 10
               if counter % 2 == 0:
                    UpperCamelCase__							:  List[Any]								=     ''''''
                    if counter in placevalue and current != 0:
                         UpperCamelCase__							:  Optional[Any]								=     placevalue[counter]
                    if counter == 2:
                         UpperCamelCase__							:  Tuple								=     singles[current] + addition + words
                    elif counter == 0:
                         if ((temp_num % 100) // 10) == 1:
                              UpperCamelCase__							:  Optional[Any]								=     teens[current] + addition + words
                              UpperCamelCase__							:  int								=     temp_num // 10
                              counter += 1
                         else:
                              UpperCamelCase__							:  Optional[Any]								=     singles[current] + addition + words

                    else:
                         UpperCamelCase__							:  Tuple								=     doubles[current] + addition + words

               else:
                    if counter == 1:
                         if current == 1:
                              UpperCamelCase__							:  Optional[Any]								=     teens[number % 10] + words
                         else:
                              UpperCamelCase__							:  Union[str, Any]								=     ''''''
                              if counter in placevalue:
                                   UpperCamelCase__							:  Optional[int]								=     placevalue[counter]
                              UpperCamelCase__							:  Optional[Any]								=     doubles[current] + addition + words
                    else:
                         UpperCamelCase__							:  List[Any]								=     ''''''
                         if counter in placevalue:
                              if current == 0 and ((temp_num % 100) // 10) == 0:
                                   UpperCamelCase__							:  Dict								=     ''''''
                              else:
                                   UpperCamelCase__							:  List[Any]								=     placevalue[counter]
                         if ((temp_num % 100) // 10) == 1:
                              UpperCamelCase__							:  Optional[int]								=     teens[current] + addition + words
                              UpperCamelCase__							:  Dict								=     temp_num // 10
                              counter += 1
                         else:
                              UpperCamelCase__							:  Optional[int]								=     singles[current] + addition + words
               counter += 1
               UpperCamelCase__							:  List[str]								=     temp_num // 10
     return words


if __name__ == "__main__":
   import doctest

   doctest.testmod()




