




from math import pi, sqrt, tan



def 				_A  (		lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if side_length < 0:
          raise ValueError("surface_area_cube() only accepts non-negative values"     )
     return 6 * side_length**2



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if length < 0 or breadth < 0 or height < 0:
          raise ValueError("surface_area_cuboid() only accepts non-negative values"     )
     return 2 * ((length * breadth) + (breadth * height) + (length * height))



def 				_A  (		lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if radius < 0:
          raise ValueError("surface_area_sphere() only accepts non-negative values"     )
     return 4 * pi * radius**2



def 				_A  (		lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if radius < 0:
          raise ValueError("surface_area_hemisphere() only accepts non-negative values"     )
     return 3 * pi * radius**2



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if radius < 0 or height < 0:
          raise ValueError("surface_area_cone() only accepts non-negative values"     )
     return pi * radius * (radius + (height**2 + radius**2) ** 0.5)



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if radius_a < 0 or radius_a < 0 or height < 0:
          raise ValueError(
              "surface_area_conical_frustum() only accepts non-negative values"     )
     lowerCAmelCase__            =					(height**2 + (radius_a - radius_a) ** 2) ** 0.5
     return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if radius < 0 or height < 0:
          raise ValueError("surface_area_cylinder() only accepts non-negative values"     )
     return 2 * pi * radius * (height + radius)



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if torus_radius < 0 or tube_radius < 0:
          raise ValueError("surface_area_torus() only accepts non-negative values"     )
     if torus_radius < tube_radius:
          raise ValueError(
              "surface_area_torus() does not support spindle or self intersecting tori"     )
     return 4 * pow(lowerCAmelCase_  ,							2     ) * torus_radius * tube_radius



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if length < 0 or width < 0:
          raise ValueError("area_rectangle() only accepts non-negative values"     )
     return length * width



def 				_A  (		lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if side_length < 0:
          raise ValueError("area_square() only accepts non-negative values"     )
     return side_length**2



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if base < 0 or height < 0:
          raise ValueError("area_triangle() only accepts non-negative values"     )
     return (base * height) / 2



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if sidea < 0 or sidea < 0 or sidea < 0:
          raise ValueError("area_triangle_three_sides() only accepts non-negative values"     )
     elif sidea + sidea < sidea or sidea + sidea < sidea or sidea + sidea < sidea:
          raise ValueError("Given three sides do not form a triangle"     )
     lowerCAmelCase__            =					(sidea + sidea + sidea) / 2
     lowerCAmelCase__            =					sqrt(
         semi_perimeter
         * (semi_perimeter - sidea)
         * (semi_perimeter - sidea)
         * (semi_perimeter - sidea)     )
     return area



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if base < 0 or height < 0:
          raise ValueError("area_parallelogram() only accepts non-negative values"     )
     return base * height



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if basea < 0 or basea < 0 or height < 0:
          raise ValueError("area_trapezium() only accepts non-negative values"     )
     return 1 / 2 * (basea + basea) * height



def 				_A  (		lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if radius < 0:
          raise ValueError("area_circle() only accepts non-negative values"     )
     return pi * radius**2



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if radius_x < 0 or radius_y < 0:
          raise ValueError("area_ellipse() only accepts non-negative values"     )
     return pi * radius_x * radius_y



def 				_A  (		lowerCAmelCase_	:   float  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if diagonal_a < 0 or diagonal_a < 0:
          raise ValueError("area_rhombus() only accepts non-negative values"     )
     return 1 / 2 * diagonal_a * diagonal_a



def 				_A  (		lowerCAmelCase_	:   int  ,							lowerCAmelCase_	:   float     ):
     """simple docstring"""

     if not isinstance(lowerCAmelCase_  ,							lowerCAmelCase_     ) or sides < 3:
          raise ValueError(
              "area_reg_polygon() only accepts integers greater than or \
equal to three as number of sides"     )
     elif length < 0:
          raise ValueError(
              "area_reg_polygon() only accepts non-negative values as \
length of a side"     )
     return (sides * length**2) / (4 * tan(pi / sides     ))
     return (sides * length**2) / (4 * tan(pi / sides     ))


if __name__ == "__main__":
     import doctest

     doctest.testmod(verbose=True)  # verbose so we can see methods missing tests

     print('[DEMO] Areas of various geometric shapes: \n')
     print(F"""Rectangle: {area_rectangle(10, 20) = }""")
     print(F"""Square: {area_square(10) = }""")
     print(F"""Triangle: {area_triangle(10, 10) = }""")
     print(F"""Triangle: {area_triangle_three_sides(5, 12, 13) = }""")
     print(F"""Parallelogram: {area_parallelogram(10, 20) = }""")
     print(F"""Rhombus: {area_rhombus(10, 20) = }""")
     print(F"""Trapezium: {area_trapezium(10, 20, 30) = }""")
     print(F"""Circle: {area_circle(20) = }""")
     print(F"""Ellipse: {area_ellipse(10, 20) = }""")
     print('\nSurface Areas of various geometric shapes: \n')
     print(F"""Cube: {surface_area_cube(20) = }""")
     print(F"""Cuboid: {surface_area_cuboid(10, 20, 30) = }""")
     print(F"""Sphere: {surface_area_sphere(20) = }""")
     print(F"""Hemisphere: {surface_area_hemisphere(20) = }""")
     print(F"""Cone: {surface_area_cone(10, 20) = }""")
     print(F"""Conical Frustum: {surface_area_conical_frustum(10, 20, 30) = }""")
     print(F"""Cylinder: {surface_area_cylinder(10, 20) = }""")
     print(F"""Torus: {surface_area_torus(20, 10) = }""")
     print(F"""Equilateral Triangle: {area_reg_polygon(3, 10) = }""")
     print(F"""Square: {area_reg_polygon(4, 10) = }""")
     print(F"""Reqular Pentagon: {area_reg_polygon(5, 10) = }""")



import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
			a_      =     argparse.ArgumentParser()

			parser.add_argument('--dump_path', default=None, type=str, required=True, help='Path to the output model.')

			parser.add_argument(
			    '--txt2img_unclip',
			    default='kakaobrain/karlo-v1-alpha',
			    type=str,
			    required=False,
			    help='The pretrained txt2img unclip.',
			)

			a_      =     parser.parse_args()

			a_      =     UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

			a_      =     CLIPImageProcessor()
			a_      =     CLIPVisionModelWithProjection.from_pretrained('openai/clip-vit-large-patch14')

			a_      =     UnCLIPImageVariationPipeline(
			    decoder=txtaimg.decoder,
			    text_encoder=txtaimg.text_encoder,
			    tokenizer=txtaimg.tokenizer,
			    text_proj=txtaimg.text_proj,
			    feature_extractor=feature_extractor,
			    image_encoder=image_encoder,
			    super_res_first=txtaimg.super_res_first,
			    super_res_last=txtaimg.super_res_last,
			    decoder_scheduler=txtaimg.decoder_scheduler,
			    super_res_scheduler=txtaimg.super_res_scheduler,
			)

			imgaimg.save_pretrained(args.dump_path)