


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








from __future__ import annotations

from math import pi, pow







def 						_lowercase       (     __lowerCamelCase			:					int | float			)  ->   float:





     '''simple docstring'''





     if side_length < 0:
          raise ValueError('''vol_cube() only accepts non-negative values'''			)
     return pow(__lowerCamelCase		,3			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or radius < 0:
          raise ValueError('''vol_spherical_cap() only accepts non-negative values'''			)
     # Volume is 1/3 pi * height squared * (3 * radius - height)
     return 1 / 3 * pi * pow(__lowerCamelCase		,2			) * (3 * radius - height)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius_a < 0 or radius_a < 0 or centers_distance < 0:
          raise ValueError('''vol_spheres_intersect() only accepts non-negative values'''			)
     if centers_distance == 0:
          return vol_sphere(min(__lowerCamelCase		,__lowerCamelCase			)			)

     UpperCamelCase__							:  Dict								=     (
         (radius_a - radius_a + centers_distance)
         * (radius_a + radius_a - centers_distance)
         / (2 * centers_distance)
     )
     UpperCamelCase__							:  Tuple								=     (
         (radius_a - radius_a + centers_distance)
         * (radius_a + radius_a - centers_distance)
         / (2 * centers_distance)
     )

     return vol_spherical_cap(__lowerCamelCase		,__lowerCamelCase			) + vol_spherical_cap(__lowerCamelCase		,__lowerCamelCase			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius_a <= 0 or radius_a <= 0 or centers_distance < 0:
          raise ValueError(
              '''vol_spheres_union() only accepts non-negative values, non-zero radius'''			)

     if centers_distance == 0:
          return vol_sphere(max(__lowerCamelCase		,__lowerCamelCase			)			)

     return (
         vol_sphere(__lowerCamelCase			)
         + vol_sphere(__lowerCamelCase			)
         - vol_spheres_intersect(__lowerCamelCase		,__lowerCamelCase		,__lowerCamelCase			)
     )







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if width < 0 or height < 0 or length < 0:
          raise ValueError('''vol_cuboid() only accepts non-negative values'''			)
     return float(width * height * length			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or area_of_base < 0:
          raise ValueError('''vol_cone() only accepts non-negative values'''			)
     return area_of_base * height / 3.0







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or radius < 0:
          raise ValueError('''vol_right_circ_cone() only accepts non-negative values'''			)
     return pi * pow(__lowerCamelCase		,2			) * height / 3.0







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or area_of_base < 0:
          raise ValueError('''vol_prism() only accepts non-negative values'''			)
     return float(area_of_base * height			)







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or area_of_base < 0:
          raise ValueError('''vol_pyramid() only accepts non-negative values'''			)
     return area_of_base * height / 3.0







def 						_lowercase       (     __lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius < 0:
          raise ValueError('''vol_sphere() only accepts non-negative values'''			)
     # Volume is 4/3 * pi * radius cubed
     return 4 / 3 * pi * pow(__lowerCamelCase		,3			)







def 						_lowercase       (     __lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius < 0:
          raise ValueError('''vol_hemisphere() only accepts non-negative values'''			)
     # Volume is radius cubed * pi * 2/3
     return pow(__lowerCamelCase		,3			) * pi * 2 / 3







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if height < 0 or radius < 0:
          raise ValueError('''vol_circular_cylinder() only accepts non-negative values'''			)
     # Volume is radius squared * height * pi
     return pow(__lowerCamelCase		,2			) * height * pi







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if inner_radius < 0 or outer_radius < 0 or height < 0:
          raise ValueError(
              '''vol_hollow_circular_cylinder() only accepts non-negative values'''			)
     if outer_radius <= inner_radius:
          raise ValueError('''outer_radius must be greater than inner_radius'''			)
     return pi * (pow(__lowerCamelCase		,2			) - pow(__lowerCamelCase		,2			)) * height







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if radius_a < 0 or radius_a < 0 or height < 0:
          raise ValueError('''vol_conical_frustum() only accepts non-negative values'''			)
     return (
         1
         / 3
         * pi
         * height
         * (pow(__lowerCamelCase		,2			) + pow(__lowerCamelCase		,2			) + radius_a * radius_a)
     )







def 						_lowercase       (     __lowerCamelCase			:					float		,__lowerCamelCase			:					float			)  ->   float:





     '''simple docstring'''





     if torus_radius < 0 or tube_radius < 0:
          raise ValueError('''vol_torus() only accepts non-negative values'''			)
     return 2 * pow(__lowerCamelCase		,2			) * torus_radius * pow(__lowerCamelCase		,2			)







def 						_lowercase       (     )  ->   Tuple:





     '''simple docstring'''





     print('''Volumes:'''			)
     print(F'Cube: {vol_cube(2			) = }'			)  # = 8
     print(F'Cuboid: {vol_cuboid(2		,2		,2			) = }'			)  # = 8
     print(F'Cone: {vol_cone(2		,2			) = }'			)  # ~= 1.33
     print(F'Right Circular Cone: {vol_right_circ_cone(2		,2			) = }'			)  # ~= 8.38
     print(F'Prism: {vol_prism(2		,2			) = }'			)  # = 4
     print(F'Pyramid: {vol_pyramid(2		,2			) = }'			)  # ~= 1.33
     print(F'Sphere: {vol_sphere(2			) = }'			)  # ~= 33.5
     print(F'Hemisphere: {vol_hemisphere(2			) = }'			)  # ~= 16.75
     print(F'Circular Cylinder: {vol_circular_cylinder(2		,2			) = }'			)  # ~= 25.1
     print(F'Torus: {vol_torus(2		,2			) = }'			)  # ~= 157.9
     print(F'Conical Frustum: {vol_conical_frustum(2		,2		,4			) = }'			)  # ~= 58.6
     print(F'Spherical cap: {vol_spherical_cap(1		,2			) = }'			)  # ~= 5.24
     print(F'Spheres intersetion: {vol_spheres_intersect(2		,2		,1			) = }'			)  # ~= 21.21
     print(F'Spheres union: {vol_spheres_union(2		,2		,1			) = }'			)  # ~= 45.81
     print(
         F'Hollow Circular Cylinder: {vol_hollow_circular_cylinder(1		,2		,3			) = }'			)  # ~= 28.3


if __name__ == "__main__":
   main()




