



from math import pi, sqrt, tan

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			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   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			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   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			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"""    )
				__a       =		(height**2 + (radius_a - radius_a) ** 2) ** 0.5
				return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			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   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			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(_SCREAMING_SNAKE_CASE				,     2    ) * torus_radius * tube_radius

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			float    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			float    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			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"""    )
				__a       =		(sidea + sidea + sidea) / 2
				__a       =		sqrt(
				    semi_perimeter
				    * (semi_perimeter - sidea)
				    * (semi_perimeter - sidea)
				    * (semi_perimeter - sidea)    )
				return area

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			float    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			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   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float    ):
				"""simple docstring"""







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

def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			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   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			float				,     _SCREAMING_SNAKE_CASE       :			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   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			int				,     _SCREAMING_SNAKE_CASE       :			float    ):
				"""simple docstring"""







				if not isinstance(_SCREAMING_SNAKE_CASE				,     _SCREAMING_SNAKE_CASE    ) 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) = }""")





from dataclasses import dataclass
from typing import Optional

import torch
from torch import nn

from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .attention import BasicTransformerBlock
from .modeling_utils import ModelMixin






@dataclass
class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	torch.FloatTensor






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__			,      lowerCamelCase__					):





							@register_to_config
							def __init__(   self		:		Tuple      ,				__lowercase		:		int = 16      ,				__lowercase		:		int = 88      ,				__lowercase		:		Optional[int] = None      ,				__lowercase		:		Optional[int] = None      ,				__lowercase		:		int = 1      ,				__lowercase		:		float = 0.0      ,				__lowercase		:		int = 32      ,				__lowercase		:		Optional[int] = None      ,				__lowercase		:		bool = False      ,				__lowercase		:		Optional[int] = None      ,				__lowercase		:		str = "geglu"      ,				__lowercase		:		bool = True      ,				__lowercase		:		bool = True      ,				):

											'''simple docstring'''
											super().__init__()
											__a       =		num_attention_heads
											__a       =		attention_head_dim
											__a       =		num_attention_heads * attention_head_dim

											__a       =		in_channels

											__a       =		torch.nn.GroupNorm(num_groups=__lowercase      ,				num_channels=__lowercase      ,				eps=1E-6      ,				affine=__lowercase	)
											__a       =		nn.Linear(__lowercase      ,				__lowercase	)

											# 3. Define transformers blocks
											__a       =		nn.ModuleList(
											    [
											        BasicTransformerBlock(
											            __lowercase      ,				__lowercase      ,				__lowercase      ,				dropout=__lowercase      ,				cross_attention_dim=__lowercase      ,				activation_fn=__lowercase      ,				attention_bias=__lowercase      ,				double_self_attention=__lowercase      ,				norm_elementwise_affine=__lowercase      ,				)
											        for d in range(__lowercase	)
											    ]	)

											__a       =		nn.Linear(__lowercase      ,				__lowercase	)







							def 						UpperCamelCase_					(   self		:		Any      ,				__lowercase		:		Optional[Any]      ,				__lowercase		:		str=None      ,				__lowercase		:		List[Any]=None      ,				__lowercase		:		List[Any]=None      ,				__lowercase		:		int=1      ,				__lowercase		:		Union[str, Any]=None      ,				__lowercase		:		bool = True      ,				):

											'''simple docstring'''
											__a     ,					__a     ,					__a     ,					__a       =		hidden_states.shape
											__a       =		batch_frames // num_frames

											__a       =		hidden_states

											__a       =		hidden_states[None, :].reshape(__lowercase      ,				__lowercase      ,				__lowercase      ,				__lowercase      ,				__lowercase	)
											__a       =		hidden_states.permute(0      ,				2      ,				1      ,				3      ,				4	)

											__a       =		self.norm(__lowercase	)
											__a       =		hidden_states.permute(0      ,				3      ,				4      ,				2      ,				1	).reshape(batch_size * height * width      ,				__lowercase      ,				__lowercase	)

											__a       =		self.proj_in(__lowercase	)

											# 2. Blocks
											for block in self.transformer_blocks:
															__a       =		block(
															    __lowercase      ,				encoder_hidden_states=__lowercase      ,				timestep=__lowercase      ,				cross_attention_kwargs=__lowercase      ,				class_labels=__lowercase      ,				)

											# 3. Output
											__a       =		self.proj_out(__lowercase	)
											__a       =		(
											    hidden_states[None, None, :]
											    .reshape(__lowercase      ,				__lowercase      ,				__lowercase      ,				__lowercase      ,				__lowercase	)
											    .permute(0      ,				3      ,				4      ,				1      ,				2	)
											    .contiguous()
											)
											__a       =		hidden_states.reshape(__lowercase      ,				__lowercase      ,				__lowercase      ,				__lowercase	)

											__a       =		hidden_states + residual

											if not return_dict:
															return (output,)

											return TransformerTemporalModelOutput(sample=__lowercase	)
