"""simple docstring"""
from tempfile import TemporaryDirectory
from unittest import TestCase
from unittest.mock import MagicMock, patch

from transformers import AutoModel, TFAutoModel
from transformers.onnx import FeaturesManager
from transformers.testing_utils import SMALL_MODEL_IDENTIFIER, require_tf, require_torch




@require_torch
@require_tf
class    __snake_case       (     __lowerCAmelCase				):



      def   lowerCamelCase_   (						self)	->			Any:





        '''simple docstring'''





        a__:     Union[str, Any]										=	SMALL_MODEL_IDENTIFIER
        a__:     List[Any]										=	'pt'
        a__:     Union[str, Any]										=	'tf'



      def   lowerCamelCase_   (						self    ,			lowercase)	->			Optional[Any]:





        '''simple docstring'''





        a__:     Optional[int]										=	AutoModel.from_pretrained(self.test_model)
        model_pt.save_pretrained(lowercase)



      def   lowerCamelCase_   (						self    ,			lowercase)	->			Any:





        '''simple docstring'''





        a__:     List[str]										=	TFAutoModel.from_pretrained(self.test_model    ,			from_pt=lowercase)
        model_tf.save_pretrained(lowercase)



      def   lowerCamelCase_   (						self)	->			Tuple:





        '''simple docstring'''





        a__:     Union[str, Any]										=	'mock_framework'

        # Framework provided - return whatever the user provides
        a__:     Optional[Any]										=	FeaturesManager.determine_framework(self.test_model    ,			lowercase)
        self.assertEqual(lowercase    ,			lowercase)

        # Local checkpoint and framework provided - return provided framework
        # PyTorch checkpoint
        with TemporaryDirectory() as local_pt_ckpt:
          self._setup_pt_ckpt(lowercase)
          a__:     str										=	FeaturesManager.determine_framework(lowercase    ,			lowercase)
          self.assertEqual(lowercase    ,			lowercase)

        # TensorFlow checkpoint
        with TemporaryDirectory() as local_tf_ckpt:
          self._setup_tf_ckpt(lowercase)
          a__:     Optional[int]										=	FeaturesManager.determine_framework(lowercase    ,			lowercase)
          self.assertEqual(lowercase    ,			lowercase)



      def   lowerCamelCase_   (						self)	->			Any:





        '''simple docstring'''





        with TemporaryDirectory() as local_pt_ckpt:
          self._setup_pt_ckpt(lowercase)
          a__:     Optional[Any]										=	FeaturesManager.determine_framework(lowercase)
          self.assertEqual(lowercase    ,			self.framework_pt)

        # TensorFlow checkpoint
        with TemporaryDirectory() as local_tf_ckpt:
          self._setup_tf_ckpt(lowercase)
          a__:     List[Any]										=	FeaturesManager.determine_framework(lowercase)
          self.assertEqual(lowercase    ,			self.framework_tf)

        # Invalid local checkpoint
        with TemporaryDirectory() as local_invalid_ckpt:
          with self.assertRaises(lowercase):
            a__:     Tuple										=	FeaturesManager.determine_framework(lowercase)



      def   lowerCamelCase_   (						self)	->			Optional[Any]:





        '''simple docstring'''





        a__:     Tuple										=	MagicMock(return_value=lowercase)
        with patch('transformers.onnx.features.is_tf_available'    ,			lowercase):
          a__:     Union[str, Any]										=	FeaturesManager.determine_framework(self.test_model)
          self.assertEqual(lowercase    ,			self.framework_pt)

        # PyTorch not in environment -> use TensorFlow
        a__:     Optional[int]										=	MagicMock(return_value=lowercase)
        with patch('transformers.onnx.features.is_torch_available'    ,			lowercase):
          a__:     Optional[int]										=	FeaturesManager.determine_framework(self.test_model)
          self.assertEqual(lowercase    ,			self.framework_tf)

        # Both in environment -> use PyTorch
        a__:     str										=	MagicMock(return_value=lowercase)
        a__:     int										=	MagicMock(return_value=lowercase)
        with patch('transformers.onnx.features.is_tf_available'    ,			lowercase), patch(
            'transformers.onnx.features.is_torch_available'    ,			lowercase):
          a__:     int										=	FeaturesManager.determine_framework(self.test_model)
          self.assertEqual(lowercase    ,			self.framework_pt)

        # Both not in environment -> raise error
        a__:     List[Any]										=	MagicMock(return_value=lowercase)
        a__:     Union[str, Any]										=	MagicMock(return_value=lowercase)
        with patch('transformers.onnx.features.is_tf_available'    ,			lowercase), patch(
            'transformers.onnx.features.is_torch_available'    ,			lowercase):
          with self.assertRaises(lowercase):
            a__:     List[str]										=	FeaturesManager.determine_framework(self.test_model)



"""simple docstring"""
from math import pi, sqrt, tan







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







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







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







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->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 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->float:
  if radius_a < 0 or radius_a < 0 or height < 0:
    raise ValueError(
        'surface_area_conical_frustum() only accepts non-negative values'   )
  a__:     List[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 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->float:
  if radius < 0 or height < 0:
    raise ValueError('surface_area_cylinder() only accepts non-negative values'   )
  return 2 * pi * radius * (height + radius)







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->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(_SCREAMING_SNAKE_CASE		,     2   ) * torus_radius * tube_radius







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







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







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







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->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__:     int										=	(sidea + sidea + sidea) / 2
  a__:     Tuple										=	sqrt(
      semi_perimeter
      * (semi_perimeter - sidea)
      * (semi_perimeter - sidea)
      * (semi_perimeter - sidea)   )
  return area







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







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







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->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 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->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 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->float:
  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) = }")


