





import warnings

from transformers import AutoTokenizer
from transformers.utils import is_torch_available
from transformers.utils.generic import ExplicitEnum

from ...processing_utils import ProcessorMixin


if is_torch_available():
 import torch







class      lowerCamelCase(						__snake_case	):
     '''simple docstring'''


     __magic_name__   =			'char'
     __magic_name__   =			'bpe'
     __magic_name__   =			'wp'




__A							:			int         =			(DecodeType.CHARACTER, DecodeType.BPE, DecodeType.WORDPIECE)







class      lowerCamelCase(						__snake_case	):
     '''simple docstring'''


     __magic_name__   =			['image_processor', 'char_tokenizer']
     __magic_name__   =			'ViTImageProcessor'
     __magic_name__   =			'MgpstrTokenizer'




     def __init__(    self				,     snake_case_=None				,     snake_case_=None				,     **snake_case_							):
         _A     =							None
         if "feature_extractor" in kwargs:
             warnings.warn(
                 'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
                 ' instead.'				,     snake_case_				,     )
             _A     =							kwargs.pop('feature_extractor'							)

         _A     =							image_processor if image_processor is not None else feature_extractor
         if image_processor is None:
             raise ValueError('You need to specify an `image_processor`.'							)
         if tokenizer is None:
             raise ValueError('You need to specify a `tokenizer`.'							)

         _A     =							tokenizer
         _A     =							AutoTokenizer.from_pretrained('gpt2'							)
         _A     =							AutoTokenizer.from_pretrained('bert-base-uncased'							)

         super().__init__(snake_case_				,     snake_case_							)




     def __call__(    self				,     snake_case_=None				,     snake_case_=None				,     snake_case_=None				,     **snake_case_							):
         if images is None and text is None:
             raise ValueError('You need to specify either an `images` or `text` input to process.'							)

         if images is not None:
             _A     =							self.image_processor(snake_case_				,     return_tensors=snake_case_				,     **snake_case_							)
         if text is not None:
             _A     =							self.char_tokenizer(snake_case_				,     return_tensors=snake_case_				,     **snake_case_							)

         if text is None:
             return inputs
         elif images is None:
             return encodings
         else:
             _A     =							encodings['input_ids']
             return inputs




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A,			_A,			_A     =							sequences
         _A     =							char_preds.size(0							)

         _A,			_A     =							self._decode_helper(snake_case_				,     'char'							)
         _A,			_A     =							self._decode_helper(snake_case_				,     'bpe'							)
         _A,			_A     =							self._decode_helper(snake_case_				,     'wp'							)

         _A     =							[]
         _A     =							[]
         for i in range(snake_case_							):
             _A     =							[char_scores[i], bpe_scores[i], wp_scores[i]]
             _A     =							[char_strs[i], bpe_strs[i], wp_strs[i]]
             _A     =							scores.index(max(snake_case_							)							)
             final_strs.append(strs[max_score_index]							)
             final_scores.append(scores[max_score_index]							)

         _A     =							{}
         _A     =							final_strs
         _A     =							final_scores
         _A     =							char_strs
         _A     =							bpe_strs
         _A     =							wp_strs
         return out




     def        lowerCAmelCase__		(    self				,     snake_case_				,     snake_case_							):
         if format == DecodeType.CHARACTER:
             _A     =							self.char_decode
             _A     =							1
             _A     =							'[s]'
         elif format == DecodeType.BPE:
             _A     =							self.bpe_decode
             _A     =							2
             _A     =							'#'
         elif format == DecodeType.WORDPIECE:
             _A     =							self.wp_decode
             _A     =							102
             _A     =							'[SEP]'
         else:
             raise ValueError(F"Format {format} is not supported."							)

         _A,			_A     =							[], []
         _A     =							pred_logits.size(0							)
         _A     =							pred_logits.size(1							)
         _A,			_A     =							pred_logits.topk(1				,     dim=-1				,     largest=snake_case_				,     sorted=snake_case_							)
         _A     =							preds_index.view(-1				,     snake_case_							)[:, 1:]
         _A     =							decoder(snake_case_							)
         _A,			_A     =							torch.nn.functional.softmax(snake_case_				,     dim=2							).max(dim=2							)
         _A     =							preds_max_prob[:, 1:]

         for index in range(snake_case_							):
             _A     =							preds_str[index].find(snake_case_							)
             _A     =							preds_str[index][:pred_eos]
             _A     =							preds_index[index].cpu().tolist()
             _A     =							pred_index.index(snake_case_							) if eos_token in pred_index else -1
             _A     =							preds_max_prob[index][: pred_eos_index + 1]
             _A     =							pred_max_prob.cumprod(dim=0							)[-1] if pred_max_prob.nelement() != 0 else 0.0
             dec_strs.append(snake_case_							)
             conf_scores.append(snake_case_							)

         return dec_strs, conf_scores




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							[seq.replace(' '				,     ''							) for seq in self.char_tokenizer.batch_decode(snake_case_							)]
         return decode_strs




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         return self.bpe_tokenizer.batch_decode(snake_case_							)




     def        lowerCAmelCase__		(    self				,     snake_case_							):
         _A     =							[seq.replace(' '				,     ''							) for seq in self.wp_tokenizer.batch_decode(snake_case_							)]
         return decode_strs












from math import pi, sqrt, tan





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> 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(       _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> 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(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> 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'				)
    _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(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> 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(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> 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(_SCREAMING_SNAKE_CASE							,     2				) * torus_radius * tube_radius





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> 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'				)
    _A     =							(sidea + sidea + sidea) / 2
    _A     =							sqrt(
        semi_perimeter
        * (semi_perimeter - sidea)
        * (semi_perimeter - sidea)
        * (semi_perimeter - sidea)				)
    return area





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> 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(       _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




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





def 				__lowerCAmelCase(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> 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(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> 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(       _SCREAMING_SNAKE_CASE							,     _SCREAMING_SNAKE_CASE				)							-> float:




    """simple docstring"""




    if not isinstance(_SCREAMING_SNAKE_CASE							,     _SCREAMING_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(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) = }")





