
"""simple docstring"""




import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
     import tensorflow as tf
     from tensorflow.python.eager import context
     from tensorflow.python.framework import ops

     from transformers import GradientAccumulator, create_optimizer



@require_tf
class 			lowerCAmelCase_		(unittest.TestCase						):


    """simple docstring"""



    def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					)      ->	Tuple:



           """simple docstring"""




           self.assertEqual(len(SCREAMING_SNAKE_CASE__					)     , len(SCREAMING_SNAKE_CASE__					)					)
           for a, b in zip(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					):
                  self.assertAlmostEqual(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__     , delta=SCREAMING_SNAKE_CASE__					)



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



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: List[Any]     =     GradientAccumulator()
           accumulator([tf.constant([1.0, 2.0]					)]					)
           accumulator([tf.constant([-2.0, 1.0]					)]					)
           accumulator([tf.constant([-1.0, 2.0]					)]					)
           with self.assertRaises(SCREAMING_SNAKE_CASE__					):
                  accumulator([tf.constant([1.0, 1.0]					), tf.constant([2.0, 2.0]					)]					)
           self.assertEqual(accumulator.step     , 3					)
           self.assertEqual(len(accumulator.gradients					)     , 1					)
           self.assertListAlmostEqual(accumulator.gradients[0].numpy().tolist()     , [-2.0, 5.0]     , tol=1E-2					)
           accumulator.reset()
           self.assertEqual(accumulator.step     , 0					)
           self.assertListAlmostEqual(accumulator.gradients[0].numpy().tolist()     , [0.0, 0.0]     , tol=1E-2					)



    def 			__magic_name__					(self					)      ->	str:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: Optional[Any]     =     None
           ops.enable_eager_execution_internal()
           SCREAMING_SNAKE_CASE__		: Optional[int]     =     tf.config.list_physical_devices("""CPU"""					)
           if len(SCREAMING_SNAKE_CASE__					) == 1:
                  tf.config.set_logical_device_configuration(
                      physical_devices[0]     , [tf.config.LogicalDeviceConfiguration(), tf.config.LogicalDeviceConfiguration()]					)
           SCREAMING_SNAKE_CASE__		: str     =     tf.config.list_logical_devices(device_type="""CPU"""					)
           SCREAMING_SNAKE_CASE__		: Optional[Any]     =     tf.distribute.MirroredStrategy(devices=devices[:2]					)

           with strategy.scope():
                  SCREAMING_SNAKE_CASE__		: Tuple     =     GradientAccumulator()
                  SCREAMING_SNAKE_CASE__		: Any     =     tf.Variable([4.0, 3.0]					)
                  SCREAMING_SNAKE_CASE__		: Optional[int]     =     create_optimizer(5E-5     , 10     , 5					)
                  SCREAMING_SNAKE_CASE__		: int     =     tf.Variable([0.0, 0.0]     , trainable=SCREAMING_SNAKE_CASE__					)

           def accumulate_on_replica(SCREAMING_SNAKE_CASE__					):
                  accumulator([gradient]					)

           def apply_on_replica():
                  optimizer.apply_gradients(list(zip(accumulator.gradients     , [variable]					)					)					)

           @tf.function
           def accumulate(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					):
                  with strategy.scope():
                         SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     strategy.experimental_local_results(SCREAMING_SNAKE_CASE__					)
                         local_variables[0].assign(SCREAMING_SNAKE_CASE__					)
                         local_variables[1].assign(SCREAMING_SNAKE_CASE__					)
                         strategy.run(SCREAMING_SNAKE_CASE__     , args=(gradient_placeholder,)					)

           @tf.function
           def apply_grad():
                  with strategy.scope():
                         strategy.run(SCREAMING_SNAKE_CASE__					)

           def _check_local_values(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					):
                  SCREAMING_SNAKE_CASE__		: List[Any]     =     strategy.experimental_local_results(accumulator._gradients[0]					)
                  self.assertListAlmostEqual(values[0].value()     , SCREAMING_SNAKE_CASE__     , tol=1E-2					)
                  self.assertListAlmostEqual(values[1].value()     , SCREAMING_SNAKE_CASE__     , tol=1E-2					)

           accumulate([1.0, 2.0]     , [-1.0, 1.0]					)
           accumulate([3.0, -1.0]     , [-1.0, -1.0]					)
           accumulate([-2.0, 2.0]     , [3.0, -2.0]					)
           self.assertEqual(accumulator.step     , 3					)
           _check_local_values([2.0, 3.0]     , [1.0, -2.0]					)
           apply_grad()
           self.assertListAlmostEqual(variable.value()     , [4.0, 3.0]     , tol=1E-2					)
           accumulator.reset()
           self.assertEqual(accumulator.step     , 0					)
           _check_local_values([0.0, 0.0]     , [0.0, 0.0]					)






"""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) = }""")




