





'''simple docstring'''

from math import pi, sqrt, tan

def 						__magic_name__       (							__UpperCAmelCase      )						->					float:

   '''simple docstring'''







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

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					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 						__magic_name__       (							__UpperCAmelCase      )						->					float:

   '''simple docstring'''







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

def 						__magic_name__       (							__UpperCAmelCase      )						->					float:

   '''simple docstring'''







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

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					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 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					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"""      )
   __SCREAMING_SNAKE_CASE      							=       (height**2 + (radius_a - radius_a) ** 2) ** 0.5
   return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					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 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					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(__UpperCAmelCase							,	2      ) * torus_radius * tube_radius

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					float:

   '''simple docstring'''







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

def 						__magic_name__       (							__UpperCAmelCase      )						->					float:

   '''simple docstring'''







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

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					float:

   '''simple docstring'''







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

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					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"""      )
   __SCREAMING_SNAKE_CASE      							=       (sidea + sidea + sidea) / 2
   __SCREAMING_SNAKE_CASE      							=       sqrt(
       semi_perimeter
       * (semi_perimeter - sidea)
       * (semi_perimeter - sidea)
       * (semi_perimeter - sidea)      )
   return area

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					float:

   '''simple docstring'''







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

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase							,	__UpperCAmelCase      )						->					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 						__magic_name__       (							__UpperCAmelCase      )						->					float:

   '''simple docstring'''







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

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					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 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					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 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					float:

   '''simple docstring'''







   if not isinstance(__UpperCAmelCase							,	__UpperCAmelCase      ) 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) = }''')












'''simple docstring'''

import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


a        =						logging.get_logger(__name__)

a        =						{
    "ut/deta": "https://huggingface.co/ut/deta/resolve/main/config.json",
}







class __a (   _snake_case			):
   __UpperCamelCase   : Dict	      =	'deta'
   __UpperCamelCase   : List[str]	      =	{
       'hidden_size': 'd_model',
       'num_attention_heads': 'encoder_attention_heads',
   }





   def __init__(					self				:			Tuple				,lowerCamelCase				:			List[Any]=None				,lowerCamelCase				:			Any=900				,lowerCamelCase				:			int=2048				,lowerCamelCase				:			Any=6				,lowerCamelCase				:			Optional[Any]=2048				,lowerCamelCase				:			str=8				,lowerCamelCase				:			Union[str, Any]=6				,lowerCamelCase				:			List[str]=1024				,lowerCamelCase				:			int=8				,lowerCamelCase				:			Any=0.0				,lowerCamelCase				:			Any=True				,lowerCamelCase				:			Optional[int]="relu"				,lowerCamelCase				:			int=256				,lowerCamelCase				:			Tuple=0.1				,lowerCamelCase				:			Optional[Any]=0.0				,lowerCamelCase				:			Tuple=0.0				,lowerCamelCase				:			List[str]=0.02				,lowerCamelCase				:			Any=1.0				,lowerCamelCase				:			Optional[int]=True				,lowerCamelCase				:			int=False				,lowerCamelCase				:			Optional[Any]="sine"				,lowerCamelCase				:			Dict=5				,lowerCamelCase				:			List[Any]=4				,lowerCamelCase				:			Optional[Any]=4				,lowerCamelCase				:			Any=True				,lowerCamelCase				:			int=300				,lowerCamelCase				:			Any=True				,lowerCamelCase				:			Tuple=True				,lowerCamelCase				:			int=1				,lowerCamelCase				:			Tuple=5				,lowerCamelCase				:			Union[str, Any]=2				,lowerCamelCase				:			Tuple=1				,lowerCamelCase				:			int=1				,lowerCamelCase				:			str=5				,lowerCamelCase				:			Optional[Any]=2				,lowerCamelCase				:			List[Any]=0.1				,lowerCamelCase				:			Union[str, Any]=0.25				,**lowerCamelCase				:			int				,):

      '''simple docstring'''

      if backbone_config is None:
         logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""    )
         __SCREAMING_SNAKE_CASE      							=       CONFIG_MAPPING["""resnet"""](out_features=["""stage2""", """stage3""", """stage4"""]    )
      else:
         if isinstance(lowerCamelCase				,lowerCamelCase    ):
            __SCREAMING_SNAKE_CASE      							=       backbone_config.pop("""model_type"""    )
            __SCREAMING_SNAKE_CASE      							=       CONFIG_MAPPING[backbone_model_type]
            __SCREAMING_SNAKE_CASE      							=       config_class.from_dict(lowerCamelCase    )

      __SCREAMING_SNAKE_CASE      							=       backbone_config
      __SCREAMING_SNAKE_CASE      							=       num_queries
      __SCREAMING_SNAKE_CASE      							=       max_position_embeddings
      __SCREAMING_SNAKE_CASE      							=       d_model
      __SCREAMING_SNAKE_CASE      							=       encoder_ffn_dim
      __SCREAMING_SNAKE_CASE      							=       encoder_layers
      __SCREAMING_SNAKE_CASE      							=       encoder_attention_heads
      __SCREAMING_SNAKE_CASE      							=       decoder_ffn_dim
      __SCREAMING_SNAKE_CASE      							=       decoder_layers
      __SCREAMING_SNAKE_CASE      							=       decoder_attention_heads
      __SCREAMING_SNAKE_CASE      							=       dropout
      __SCREAMING_SNAKE_CASE      							=       attention_dropout
      __SCREAMING_SNAKE_CASE      							=       activation_dropout
      __SCREAMING_SNAKE_CASE      							=       activation_function
      __SCREAMING_SNAKE_CASE      							=       init_std
      __SCREAMING_SNAKE_CASE      							=       init_xavier_std
      __SCREAMING_SNAKE_CASE      							=       encoder_layerdrop
      __SCREAMING_SNAKE_CASE      							=       auxiliary_loss
      __SCREAMING_SNAKE_CASE      							=       position_embedding_type
      # deformable attributes
      __SCREAMING_SNAKE_CASE      							=       num_feature_levels
      __SCREAMING_SNAKE_CASE      							=       encoder_n_points
      __SCREAMING_SNAKE_CASE      							=       decoder_n_points
      __SCREAMING_SNAKE_CASE      							=       two_stage
      __SCREAMING_SNAKE_CASE      							=       two_stage_num_proposals
      __SCREAMING_SNAKE_CASE      							=       with_box_refine
      __SCREAMING_SNAKE_CASE      							=       assign_first_stage
      if two_stage is True and with_box_refine is False:
         raise ValueError("""If two_stage is True, with_box_refine must be True."""    )
      # Hungarian matcher
      __SCREAMING_SNAKE_CASE      							=       class_cost
      __SCREAMING_SNAKE_CASE      							=       bbox_cost
      __SCREAMING_SNAKE_CASE      							=       giou_cost
      # Loss coefficients
      __SCREAMING_SNAKE_CASE      							=       mask_loss_coefficient
      __SCREAMING_SNAKE_CASE      							=       dice_loss_coefficient
      __SCREAMING_SNAKE_CASE      							=       bbox_loss_coefficient
      __SCREAMING_SNAKE_CASE      							=       giou_loss_coefficient
      __SCREAMING_SNAKE_CASE      							=       eos_coefficient
      __SCREAMING_SNAKE_CASE      							=       focal_alpha
      super().__init__(is_encoder_decoder=lowerCamelCase				,**lowerCamelCase    )





   @property
   def      UpperCAmelCase__     (					self				:			Any    ):

      '''simple docstring'''

      return self.encoder_attention_heads





   @property
   def      UpperCAmelCase__     (					self				:			Union[str, Any]    ):

      '''simple docstring'''

      return self.d_model





   def      UpperCAmelCase__     (					self				:			Tuple    ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE      							=       copy.deepcopy(self.__dict__    )
      __SCREAMING_SNAKE_CASE      							=       self.backbone_config.to_dict()
      __SCREAMING_SNAKE_CASE      							=       self.__class__.model_type
      return output





