
"""simple docstring"""




import unittest

import torch
from torch import nn

from accelerate.test_utils import require_cuda
from accelerate.utils.memory import find_executable_batch_size, release_memory

def lowercase_						(     ):
       raise RuntimeError("""CUDA out of memory."""		)



class 			lowerCAmelCase_		(nn.Module						):


    """simple docstring"""



    def __init__(self					)      ->	int:



           """simple docstring"""




           super().__init__()
           SCREAMING_SNAKE_CASE__		: Any     =     nn.Linear(3     , 4					)
           SCREAMING_SNAKE_CASE__		: List[str]     =     nn.BatchNormad(4					)
           SCREAMING_SNAKE_CASE__		: Any     =     nn.Linear(4     , 5					)



    def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__					)      ->	List[Any]:



           """simple docstring"""




           return self.lineara(self.batchnorm(self.lineara(__a					)					)					)






class 			lowerCAmelCase_		(unittest.TestCase						):


    """simple docstring"""



    def 			__magic_name__					(self					)      ->	str:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: List[str]     =     []

           @find_executable_batch_size(starting_batch_size=1_28					)
           def mock_training_loop_function(SCREAMING_SNAKE_CASE__					):
                  nonlocal batch_sizes
                  batch_sizes.append(__a					)
                  if batch_size != 8:
                         raise_fake_out_of_memory()

           mock_training_loop_function()
           self.assertListEqual(__a     , [1_28, 64, 32, 16, 8]					)



    def 			__magic_name__					(self					)      ->	Any:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: Tuple     =     []

           @find_executable_batch_size(starting_batch_size=1_28					)
           def mock_training_loop_function(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					):
                  nonlocal batch_sizes
                  batch_sizes.append(__a					)
                  if batch_size != 8:
                         raise_fake_out_of_memory()
                  return batch_size, arga

           SCREAMING_SNAKE_CASE__		: List[str]     =     mock_training_loop_function("""hello"""					)
           self.assertListEqual(__a     , [1_28, 64, 32, 16, 8]					)
           self.assertListEqual([bs, arga]     , [8, """hello"""]					)



    def 			__magic_name__					(self					)      ->	Dict:



           """simple docstring"""




           @find_executable_batch_size(starting_batch_size=0					)
           def mock_training_loop_function(SCREAMING_SNAKE_CASE__					):
                  pass

           with self.assertRaises(__a					) as cm:
                  mock_training_loop_function()
                  self.assertIn("""No executable batch size found, reached zero."""     , cm.exception.args[0]					)



    def 			__magic_name__					(self					)      ->	Any:



           """simple docstring"""




           @find_executable_batch_size(starting_batch_size=16					)
           def mock_training_loop_function(SCREAMING_SNAKE_CASE__					):
                  if batch_size > 0:
                         raise_fake_out_of_memory()
                  pass

           with self.assertRaises(__a					) as cm:
                  mock_training_loop_function()
                  self.assertIn("""No executable batch size found, reached zero."""     , cm.exception.args[0]					)



    def 			__magic_name__					(self					)      ->	List[str]:



           """simple docstring"""




           @find_executable_batch_size(starting_batch_size=1_28					)
           def mock_training_loop_function(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					):
                  if batch_size != 8:
                         raise raise_fake_out_of_memory()

           with self.assertRaises(__a					) as cm:
                  mock_training_loop_function(1_28     , """hello"""     , """world"""					)
                  self.assertIn("""Batch size was passed into `f`"""     , cm.exception.args[0]					)
                  self.assertIn("""`f(arg1=\'hello\', arg2=\'world\')"""     , cm.exception.args[0]					)



    def 			__magic_name__					(self					)      ->	Optional[int]:



           """simple docstring"""




           @find_executable_batch_size(starting_batch_size=16					)
           def mock_training_loop_function(SCREAMING_SNAKE_CASE__					):
                  raise ValueError("""Oops, we had an error!"""					)

           with self.assertRaises(__a					) as cm:
                  mock_training_loop_function()
                  self.assertIn("""Oops, we had an error!"""     , cm.exception.args[0]					)



    @require_cuda
    def 			__magic_name__					(self					)      ->	int:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: Any     =     torch.cuda.memory_allocated()
           SCREAMING_SNAKE_CASE__		: List[str]     =     ModelForTest()
           model.cuda()
           self.assertGreater(torch.cuda.memory_allocated()     , __a					)
           SCREAMING_SNAKE_CASE__		: List[str]     =     release_memory(__a					)
           self.assertEqual(torch.cuda.memory_allocated()     , __a					)






"""simple docstring"""




from math import pi, sqrt, tan

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

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

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

def lowercase_						(     _snake_case     ,_snake_case		):
							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 lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							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__		: int     =     (height**2 + (radius_a - radius_a) ** 2) ** 0.5
							return pi * ((slant_height * (radius_a + radius_a)) + radius_a**2 + radius_a**2)

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

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

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

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

def lowercase_						(     _snake_case     ,_snake_case     ,_snake_case		):
							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__		: List[str]     =     (sidea + sidea + sidea) / 2
							SCREAMING_SNAKE_CASE__		: List[Any]     =     sqrt(
							    semi_perimeter
							    * (semi_perimeter - sidea)
							    * (semi_perimeter - sidea)
							    * (semi_perimeter - sidea)		)
							return area

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

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

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

def lowercase_						(     _snake_case     ,_snake_case		):
							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 lowercase_						(     _snake_case     ,_snake_case		):
							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(1_0, 2_0) = }""")
					print(f"""Square: {area_square(1_0) = }""")
					print(f"""Triangle: {area_triangle(1_0, 1_0) = }""")
					print(f"""Triangle: {area_triangle_three_sides(5, 1_2, 1_3) = }""")
					print(f"""Parallelogram: {area_parallelogram(1_0, 2_0) = }""")
					print(f"""Rhombus: {area_rhombus(1_0, 2_0) = }""")
					print(f"""Trapezium: {area_trapezium(1_0, 2_0, 3_0) = }""")
					print(f"""Circle: {area_circle(2_0) = }""")
					print(f"""Ellipse: {area_ellipse(1_0, 2_0) = }""")
					print('\nSurface Areas of various geometric shapes: \n')
					print(f"""Cube: {surface_area_cube(2_0) = }""")
					print(f"""Cuboid: {surface_area_cuboid(1_0, 2_0, 3_0) = }""")
					print(f"""Sphere: {surface_area_sphere(2_0) = }""")
					print(f"""Hemisphere: {surface_area_hemisphere(2_0) = }""")
					print(f"""Cone: {surface_area_cone(1_0, 2_0) = }""")
					print(f"""Conical Frustum: {surface_area_conical_frustum(1_0, 2_0, 3_0) = }""")
					print(f"""Cylinder: {surface_area_cylinder(1_0, 2_0) = }""")
					print(f"""Torus: {surface_area_torus(2_0, 1_0) = }""")
					print(f"""Equilateral Triangle: {area_reg_polygon(3, 1_0) = }""")
					print(f"""Square: {area_reg_polygon(4, 1_0) = }""")
					print(f"""Reqular Pentagon: {area_reg_polygon(5, 1_0) = }""")




