from math import pi, sqrt, tan
def 							lowerCAmelCase(     __lowerCamelCase						):
					if side_length < 0:
										raise ValueError('surface_area_cube() only accepts non-negative values'						)
					return 6 * side_length**2
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase						):
					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(     __lowerCamelCase						):
					if radius < 0:
										raise ValueError('surface_area_sphere() only accepts non-negative values'						)
					return 4 * pi * radius**2
def 							lowerCAmelCase(     __lowerCamelCase						):
					if radius < 0:
										raise ValueError('surface_area_hemisphere() only accepts non-negative values'						)
					return 3 * pi * radius**2
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase						):
					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(     __lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase						):
					if radius_a < 0 or radius_a < 0 or height < 0:
										raise ValueError(
										    'surface_area_conical_frustum() only accepts non-negative values'						)
					__a		 =       (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(     __lowerCamelCase				,    __lowerCamelCase						):
					if radius < 0 or height < 0:
										raise ValueError('surface_area_cylinder() only accepts non-negative values'						)
					return 2 * pi * radius * (height + radius)
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase						):
					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(lowerCAmelCase__				,    2						) * torus_radius * tube_radius
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase						):
					if length < 0 or width < 0:
										raise ValueError('area_rectangle() only accepts non-negative values'						)
					return length * width
def 							lowerCAmelCase(     __lowerCamelCase						):
					if side_length < 0:
										raise ValueError('area_square() only accepts non-negative values'						)
					return side_length**2
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase						):
					if base < 0 or height < 0:
										raise ValueError('area_triangle() only accepts non-negative values'						)
					return (base * height) / 2
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase						):
					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		 =       (sidea + sidea + sidea) / 2
					__a		 =       sqrt(
					    semi_perimeter
					    * (semi_perimeter - sidea)
					    * (semi_perimeter - sidea)
					    * (semi_perimeter - sidea)						)
					return area
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase						):
					if base < 0 or height < 0:
										raise ValueError('area_parallelogram() only accepts non-negative values'						)
					return base * height
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase				,    __lowerCamelCase						):
					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(     __lowerCamelCase						):
					if radius < 0:
										raise ValueError('area_circle() only accepts non-negative values'						)
					return pi * radius**2
def 							lowerCAmelCase(     __lowerCamelCase				,    __lowerCamelCase						):
					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(     __lowerCamelCase				,    __lowerCamelCase						):
					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(     __lowerCamelCase				,    __lowerCamelCase						):
					if not isinstance(lowerCAmelCase__				,    lowerCAmelCase__						) or sides < 3:
										raise ValueError(
										    'area_reg_polygon() only accepts integers greater than or \\nequal to three as number of sides'						)
					elif length < 0:
										raise ValueError(
										    'area_reg_polygon() only accepts non-negative values as \\nlength 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) = }''')






from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


lowerCamelCase_    :		Union[str, Any]							=	{"""configuration_gpt_neox""": ["""GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXConfig"""]}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Union[str, Any]							=	["""GPTNeoXTokenizerFast"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		List[str]							=	[
	    """GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """GPTNeoXForCausalLM""",
	    """GPTNeoXForQuestionAnswering""",
	    """GPTNeoXForSequenceClassification""",
	    """GPTNeoXForTokenClassification""",
	    """GPTNeoXLayer""",
	    """GPTNeoXModel""",
	    """GPTNeoXPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox import (
		    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXForCausalLM,
		    GPTNeoXForQuestionAnswering,
		    GPTNeoXForSequenceClassification,
		    GPTNeoXForTokenClassification,
		    GPTNeoXLayer,
		    GPTNeoXModel,
		    GPTNeoXPreTrainedModel,
		)


else:
	import sys

	lowerCamelCase_    :		Dict							=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




