





'''simple docstring'''

from typing import List, Optional, Union

import numpy as np

from ...feature_extraction_sequence_utils import SequenceFeatureExtractor
from ...feature_extraction_utils import BatchFeature
from ...utils import PaddingStrategy, TensorType, logging


lowercase_					= logging.get_logger(__name__)


class 					a_     (				snake_case_       ):

    '''simple docstring'''
    UpperCamelCase     = ['''input_values''', '''padding_mask''']


    def __init__(		self ,		A = 1 ,		A = 2_4000 ,		A = 0.0 ,		A = None ,		A = None ,		**A ,		)		->   Union[str, Any]:
        super().__init__(feature_size=lowerCamelCase__ ,		sampling_rate=lowerCamelCase__ ,		padding_value=lowerCamelCase__ ,		**lowerCamelCase__       )
        _SCREAMING_SNAKE_CASE									=			chunk_length_s
        _SCREAMING_SNAKE_CASE									=			overlap


    @property
    def 			snake_case_(		self       )		->   Optional[int]:
        if self.chunk_length_s is None:
            return None
        else:
            return int(self.chunk_length_s * self.sampling_rate       )


    @property
    def 			snake_case_(		self       )		->   Optional[int]:
        if self.chunk_length_s is None or self.overlap is None:
            return None
        else:
            return max(1 ,		int((1.0 - self.overlap) * self.chunk_length       )       )





    def __call__(		self ,		A ,		A = None ,		A = False ,		A = None ,		A = None ,		A = None ,		)		->   BatchFeature:
        if sampling_rate is not None:
            if sampling_rate != self.sampling_rate:
                raise ValueError(
                    f'The model corresponding to this feature extractor: {self} was trained using a sampling rate of'
                    f' {self.sampling_rate}. Please make sure that the provided audio input was sampled with'
                    f' {self.sampling_rate} and not {sampling_rate}.'       )
        else:
            logger.warning(
                """It is strongly recommended to pass the `sampling_rate` argument to this function. """
                """Failing to do so can result in silent errors that might be hard to debug."""       )

        if padding and truncation:
            raise ValueError("""Both padding and truncation were set. Make sure you only set one."""       )
        elif padding is None:
            # by default let's pad the inputs
            _SCREAMING_SNAKE_CASE									=			True

        _SCREAMING_SNAKE_CASE									=			bool(
            isinstance(lowerCamelCase__ ,		(list, tuple)       ) and (isinstance(raw_audio[0] ,		(np.ndarray, tuple, list)       ))       )

        if is_batched:
            _SCREAMING_SNAKE_CASE									=			[np.asarray(lowerCamelCase__ ,		dtype=np.floataa       ).T for audio in raw_audio]
        elif not is_batched and not isinstance(lowerCamelCase__ ,		np.ndarray       ):
            _SCREAMING_SNAKE_CASE									=			np.asarray(lowerCamelCase__ ,		dtype=np.floataa       )
        elif isinstance(lowerCamelCase__ ,		np.ndarray       ) and raw_audio.dtype is np.dtype(np.floataa       ):
            _SCREAMING_SNAKE_CASE									=			raw_audio.astype(np.floataa       )

        # always return batch
        if not is_batched:
            _SCREAMING_SNAKE_CASE									=			[np.asarray(lowerCamelCase__       ).T]

        # verify inputs are valid
        for idx, example in enumerate(lowerCamelCase__       ):
            if example.ndim > 2:
                raise ValueError(f'Expected input shape (channels, length) but got shape {example.shape}'       )
            if self.feature_size == 1 and example.ndim != 1:
                raise ValueError(f'Expected mono audio but example has {example.shape[-1]} channels'       )
            if self.feature_size == 2 and example.shape[-1] != 2:
                raise ValueError(f'Expected stereo audio but example has {example.shape[-1]} channels'       )

        _SCREAMING_SNAKE_CASE									=			None
        _SCREAMING_SNAKE_CASE									=			BatchFeature({"""input_values""": raw_audio}       )
        if self.chunk_stride is not None and self.chunk_length is not None and max_length is None:
            if truncation:
                _SCREAMING_SNAKE_CASE									=			min(array.shape[0] for array in raw_audio       )
                _SCREAMING_SNAKE_CASE									=			int(np.floor(max_length / self.chunk_stride       )       )
                _SCREAMING_SNAKE_CASE									=			(nb_step - 1) * self.chunk_stride + self.chunk_length
            elif padding:
                _SCREAMING_SNAKE_CASE									=			max(array.shape[0] for array in raw_audio       )
                _SCREAMING_SNAKE_CASE									=			int(np.ceil(max_length / self.chunk_stride       )       )
                _SCREAMING_SNAKE_CASE									=			(nb_step - 1) * self.chunk_stride + self.chunk_length
                _SCREAMING_SNAKE_CASE									=			"""max_length"""
            else:
                _SCREAMING_SNAKE_CASE									=			input_values

        # normal padding on batch
        if padded_inputs is None:
            _SCREAMING_SNAKE_CASE									=			self.pad(
                lowerCamelCase__ ,		max_length=lowerCamelCase__ ,		truncation=lowerCamelCase__ ,		padding=lowerCamelCase__ ,		return_attention_mask=lowerCamelCase__ ,		)
            if padding:
                _SCREAMING_SNAKE_CASE									=			padded_inputs.pop("""attention_mask"""       )

        _SCREAMING_SNAKE_CASE									=			[]
        for example in padded_inputs.pop("""input_values"""       ):
            if self.feature_size == 1:
                _SCREAMING_SNAKE_CASE									=			example[..., None]
            input_values.append(example.T       )

        _SCREAMING_SNAKE_CASE									=			input_values
        if return_tensors is not None:
            _SCREAMING_SNAKE_CASE									=			padded_inputs.convert_to_tensors(lowerCamelCase__       )

        return padded_inputs









from math import pi, sqrt, tan







def 			lowerCamelCase_		(       UpperCamelCase__				:      float      )     ->       float:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      float ,     UpperCamelCase__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""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__				:      float      )     ->       float:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      float      )     ->       float:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""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__				:      float ,     UpperCamelCase__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""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__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""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__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""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__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      float      )     ->       float:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      float ,     UpperCamelCase__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""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__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      float ,     UpperCamelCase__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""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__				:      float      )     ->       float:





				"""simple docstring"""


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







def 			lowerCamelCase_		(       UpperCamelCase__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""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__				:      float ,     UpperCamelCase__				:      float      )     ->       float:





				"""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__				:      int ,     UpperCamelCase__				:      float      )     ->       float:





				"""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(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) = }''')


