


"""simple docstring"""


from math import pi, sqrt, tan


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			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	(		_UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			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	(		_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			if radius_a < 0 or radius_a < 0 or height < 0:
						raise ValueError(
						    "surface_area_conical_frustum() only accepts non-negative values"      )
			__lowerCAmelCase				    =			(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	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			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(UpperCamelCase__    , 2      ) * torus_radius * tube_radius


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			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"      )
			__lowerCAmelCase				    =			(sidea + sidea + sidea) / 2
			__lowerCAmelCase				    =			sqrt(
			    semi_perimeter
			    * (semi_perimeter - sidea)
			    * (semi_perimeter - sidea)
			    * (semi_perimeter - sidea)      )
			return area


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			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	(		_UpperCamelCase      ):

			'''simple docstring'''




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


def _lowerCamelCase	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			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	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			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	(		_UpperCamelCase    , _UpperCamelCase      ):

			'''simple docstring'''




			if not isinstance(UpperCamelCase__    , UpperCamelCase__      ) 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) = }''')








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_torch_available,
)


lowerCAmelCase__      		= {
    'configuration_speecht5': [
        'SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP',
        'SpeechT5Config',
        'SpeechT5HifiGanConfig',
    ],
    'feature_extraction_speecht5': ['SpeechT5FeatureExtractor'],
    'processing_speecht5': ['SpeechT5Processor'],
}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__      		= ['SpeechT5Tokenizer']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__      		= [
        'SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST',
        'SpeechT5ForSpeechToText',
        'SpeechT5ForSpeechToSpeech',
        'SpeechT5ForTextToSpeech',
        'SpeechT5Model',
        'SpeechT5PreTrainedModel',
        'SpeechT5HifiGan',
    ]

if TYPE_CHECKING:
    from .configuration_speechta import (
        SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
        SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
        SpeechTaConfig,
        SpeechTaHifiGanConfig,
    )
    from .feature_extraction_speechta import SpeechTaFeatureExtractor
    from .processing_speechta import SpeechTaProcessor

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_speechta import SpeechTaTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_speechta import (
            SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
            SpeechTaForSpeechToSpeech,
            SpeechTaForSpeechToText,
            SpeechTaForTextToSpeech,
            SpeechTaHifiGan,
            SpeechTaModel,
            SpeechTaPreTrainedModel,
        )

else:
    import sys

    lowerCAmelCase__      		= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
