





'''simple docstring'''




from math import pi, sqrt, tan






def        _lowerCAmelCase			(  __snake_case  : float			)     ->     float:
     if side_length < 0:
          raise ValueError('surface_area_cube() only accepts non-negative values'			)
     return 6 * side_length**2






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float ,							__snake_case  : float			)     ->     float:
     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			(  __snake_case  : float			)     ->     float:
     if radius < 0:
          raise ValueError('surface_area_sphere() only accepts non-negative values'			)
     return 4 * pi * radius**2






def        _lowerCAmelCase			(  __snake_case  : float			)     ->     float:
     if radius < 0:
          raise ValueError('surface_area_hemisphere() only accepts non-negative values'			)
     return 3 * pi * radius**2






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float			)     ->     float:
     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			(  __snake_case  : float ,							__snake_case  : float ,							__snake_case  : float			)     ->     float:
     if radius_a < 0 or radius_a < 0 or height < 0:
          raise ValueError(
              'surface_area_conical_frustum() only accepts non-negative values'			)
     __A						: Any      =       (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			(  __snake_case  : float ,							__snake_case  : float			)     ->     float:
     if radius < 0 or height < 0:
          raise ValueError('surface_area_cylinder() only accepts non-negative values'			)
     return 2 * pi * radius * (height + radius)






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float			)     ->     float:
     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(__snake_case ,							2			) * torus_radius * tube_radius






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float			)     ->     float:
     if length < 0 or width < 0:
          raise ValueError('area_rectangle() only accepts non-negative values'			)
     return length * width






def        _lowerCAmelCase			(  __snake_case  : float			)     ->     float:
     if side_length < 0:
          raise ValueError('area_square() only accepts non-negative values'			)
     return side_length**2






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float			)     ->     float:
     if base < 0 or height < 0:
          raise ValueError('area_triangle() only accepts non-negative values'			)
     return (base * height) / 2






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float ,							__snake_case  : float			)     ->     float:
     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						: Tuple      =       (sidea + sidea + sidea) / 2
     __A						: Any      =       sqrt(
         semi_perimeter
         * (semi_perimeter - sidea)
         * (semi_perimeter - sidea)
         * (semi_perimeter - sidea)			)
     return area






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float			)     ->     float:
     if base < 0 or height < 0:
          raise ValueError('area_parallelogram() only accepts non-negative values'			)
     return base * height






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float ,							__snake_case  : float			)     ->     float:
     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			(  __snake_case  : float			)     ->     float:
     if radius < 0:
          raise ValueError('area_circle() only accepts non-negative values'			)
     return pi * radius**2






def        _lowerCAmelCase			(  __snake_case  : float ,							__snake_case  : float			)     ->     float:
     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			(  __snake_case  : float ,							__snake_case  : float			)     ->     float:
     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			(  __snake_case  : int ,							__snake_case  : float			)     ->     float:
     if not isinstance(__snake_case ,							__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) = }""")






'''simple docstring'''




import itertools
from dataclasses import dataclass
from typing import Optional

import pandas as pd
import pyarrow as pa

import datasets
from datasets.table import table_cast


@dataclass
class  SCREAMING_SNAKE_CASE    (datasets.BuilderConfig							):
     lowerCAmelCase					=       None




class  SCREAMING_SNAKE_CASE    (datasets.ArrowBasedBuilder							):
     lowerCAmelCase					=       PandasConfig


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          return datasets.DatasetInfo(features=self.config.features)


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase):

          '''simple docstring'''






          if not self.config.data_files:
               raise ValueError(F'At least one data file must be specified, but got data_files={self.config.data_files}')
          __A						: Dict      =       dl_manager.download_and_extract(self.config.data_files)
          if isinstance(_UpperCAmelCase						,	(str, list, tuple)):
               __A						: Union[str, Any]      =       data_files
               if isinstance(_UpperCAmelCase						,	_UpperCAmelCase):
                    __A						: Optional[int]      =       [files]
               # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
               __A						: Optional[Any]      =       [dl_manager.iter_files(_UpperCAmelCase) for file in files]
               return [datasets.SplitGenerator(name=datasets.Split.TRAIN						,	gen_kwargs={'files': files})]
          __A						: Tuple      =       []
          for split_name, files in data_files.items():
               if isinstance(_UpperCAmelCase						,	_UpperCAmelCase):
                    __A						: Dict      =       [files]
               # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
               __A						: Optional[Any]      =       [dl_manager.iter_files(_UpperCAmelCase) for file in files]
               splits.append(datasets.SplitGenerator(name=_UpperCAmelCase						,	gen_kwargs={'files': files}))
          return splits


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase):

          '''simple docstring'''






          if self.config.features is not None:
               # more expensive cast to support nested features with keys in a different order
               # allows str <-> int/float or str to Audio for example
               __A						: List[str]      =       table_cast(_UpperCAmelCase						,	self.config.features.arrow_schema)
          return pa_table


     def 							SCREAMING_SNAKE_CASE  (						self						,	_UpperCAmelCase):

          '''simple docstring'''






          for i, file in enumerate(itertools.chain.from_iterable(_UpperCAmelCase)):
               with open(_UpperCAmelCase						,	'rb') as f:
                    __A						: Optional[int]      =       pa.Table.from_pandas(pd.read_pickle(_UpperCAmelCase))
                    yield i, self._cast_table(_UpperCAmelCase)