from math import pi, sqrt, tan






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






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






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






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






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






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






def _lowerCamelCase  (		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'  )
							_lowerCAmelCase							=							(sidea + sidea + sidea) / 2
							_lowerCAmelCase							=							sqrt(
							    semi_perimeter
							    * (semi_perimeter - sidea)
							    * (semi_perimeter - sidea)
							    * (semi_perimeter - sidea)  )
							return area






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






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






def _lowerCamelCase  (		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 _lowerCamelCase  (		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 _lowerCamelCase  (		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) = }""")







import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_lowercase:	int       			=		logging.get_logger(__name__)

_lowercase:	Union[str, Any]       			=		{'''vocab_file''': '''sentencepiece.bpe.model'''}

_lowercase:	Dict       			=		{
    '''vocab_file''': {
        '''camembert-base''': '''https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model''',
    }
}

_lowercase:	List[Any]       			=		{
    '''camembert-base''': 5_1_2,
}

_lowercase:	Dict       			=		'''▁'''



class        lowerCamelCase__				(   UpperCAmelCase				):
			UpperCamelCase__    							=VOCAB_FILES_NAMES
			UpperCamelCase__    							=PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__    							=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase__    							=["input_ids", "attention_mask"]





			def __init__(       self	:	str  ,  lowercase__	:	int  ,  lowercase__	:	Tuple="<s>"  ,  lowercase__	:	Optional[int]="</s>"  ,  lowercase__	:	Optional[Any]="</s>"  ,  lowercase__	:	Any="<s>"  ,  lowercase__	:	Union[str, Any]="<unk>"  ,  lowercase__	:	Union[str, Any]="<pad>"  ,  lowercase__	:	Optional[int]="<mask>"  ,  lowercase__	:	str=["<s>NOTUSED", "</s>NOTUSED"]  ,  lowercase__	:	Optional[Dict[str, Any]] = None  ,  **lowercase__	:	Union[str, Any]  ,  ):
										# Mask token behave like a normal word, i.e. include the space before it
										_lowerCAmelCase							=							AddedToken(lowercase__  ,  lstrip=lowercase__  ,  rstrip=lowercase__						) if isinstance(lowercase__  ,  lowercase__						) else mask_token

										_lowerCAmelCase							=							{} if sp_model_kwargs is None else sp_model_kwargs

										super().__init__(
										    bos_token=lowercase__  ,  eos_token=lowercase__  ,  unk_token=lowercase__  ,  sep_token=lowercase__  ,  cls_token=lowercase__  ,  pad_token=lowercase__  ,  mask_token=lowercase__  ,  additional_special_tokens=lowercase__  ,  sp_model_kwargs=self.sp_model_kwargs  ,  **lowercase__  ,  )
										_lowerCAmelCase							=							spm.SentencePieceProcessor(**self.sp_model_kwargs						)
										self.sp_model.Load(str(lowercase__						)						)
										_lowerCAmelCase							=							vocab_file
										# HACK: These tokens were added by fairseq but don't seem to be actually used when duplicated in the actual
										# sentencepiece vocabulary (this is the case for <s> and </s>
										_lowerCAmelCase							=							{'<s>NOTUSED': 0, '<pad>': 1, '</s>NOTUSED': 2, '<unk>': 3}
										_lowerCAmelCase							=							len(self.fairseq_tokens_to_ids						)
										_lowerCAmelCase							=							len(self.sp_model						) + len(self.fairseq_tokens_to_ids						)
										_lowerCAmelCase							=							{v: k for k, v in self.fairseq_tokens_to_ids.items()}





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]  ,  lowercase__	:	List[int]  ,  lowercase__	:	Optional[List[int]] = None						):

										if token_ids_a is None:
																	return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
										_lowerCAmelCase							=							[self.cls_token_id]
										_lowerCAmelCase							=							[self.sep_token_id]
										return cls + token_ids_a + sep + sep + token_ids_a + sep





			def   SCREAMING_SNAKE_CASE__     (       self	:	Any  ,  lowercase__	:	List[int]  ,  lowercase__	:	Optional[List[int]] = None  ,  lowercase__	:	bool = False						):
										if already_has_special_tokens:
																	return super().get_special_tokens_mask(
																	    token_ids_a=lowercase__  ,  token_ids_a=lowercase__  ,  already_has_special_tokens=lowercase__						)

										if token_ids_a is None:
																	return [1] + ([0] * len(lowercase__						)) + [1]
										return [1] + ([0] * len(lowercase__						)) + [1, 1] + ([0] * len(lowercase__						)) + [1]





			def   SCREAMING_SNAKE_CASE__     (       self	:	int  ,  lowercase__	:	List[int]  ,  lowercase__	:	Optional[List[int]] = None						):
										_lowerCAmelCase							=							[self.sep_token_id]
										_lowerCAmelCase							=							[self.cls_token_id]

										if token_ids_a is None:
																	return len(cls + token_ids_a + sep						) * [0]
										return len(cls + token_ids_a + sep + sep + token_ids_a + sep						) * [0]





			@property
			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[int]						):
										return len(self.fairseq_tokens_to_ids						) + len(self.sp_model						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]						):
										_lowerCAmelCase							=							{self.convert_ids_to_tokens(lowercase__						): i for i in range(self.vocab_size						)}
										vocab.update(self.added_tokens_encoder						)
										return vocab





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[int]  ,  lowercase__	:	str						):
										return self.sp_model.encode(lowercase__  ,  out_type=lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]  ,  lowercase__	:	Optional[Any]						):
										if token in self.fairseq_tokens_to_ids:
																	return self.fairseq_tokens_to_ids[token]
										elif self.sp_model.PieceToId(lowercase__						) == 0:
																	# Convert sentence piece unk token to fairseq unk token index
																	return self.unk_token_id
										return self.fairseq_offset + self.sp_model.PieceToId(lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]  ,  lowercase__	:	Tuple						):
										if index in self.fairseq_ids_to_tokens:
																	return self.fairseq_ids_to_tokens[index]
										return self.sp_model.IdToPiece(index - self.fairseq_offset						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	int  ,  lowercase__	:	Optional[int]						):
										_lowerCAmelCase							=							[]
										_lowerCAmelCase							=							''
										_lowerCAmelCase							=							False
										for token in tokens:
																	# make sure that special tokens are not decoded using sentencepiece model
																	if token in self.all_special_tokens:
																								if not prev_is_special:
																															out_string += " "
																								out_string += self.sp_model.decode(lowercase__						) + token
																								_lowerCAmelCase							=							True
																								_lowerCAmelCase							=							[]
																	else:
																								current_sub_tokens.append(lowercase__						)
																								_lowerCAmelCase							=							False
										out_string += self.sp_model.decode(lowercase__						)
										return out_string.strip()





			def __getstate__(       self	:	Any						):
										_lowerCAmelCase							=							self.__dict__.copy()
										_lowerCAmelCase							=							None
										return state





			def __setstate__(       self	:	Optional[Any]  ,  lowercase__	:	Union[str, Any]						):
										_lowerCAmelCase							=							d

										# for backward compatibility
										if not hasattr(self  ,  'sp_model_kwargs'						):
																	_lowerCAmelCase							=							{}

										_lowerCAmelCase							=							spm.SentencePieceProcessor(**self.sp_model_kwargs						)
										self.sp_model.Load(self.vocab_file						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]  ,  lowercase__	:	str  ,  lowercase__	:	Optional[str] = None						):
										if not os.path.isdir(lowercase__						):
																	logger.error(f'Vocabulary path ({save_directory}) should be a directory'						)
																	return
										_lowerCAmelCase							=							os.path.join(
										    lowercase__  ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)

										if os.path.abspath(self.vocab_file						) != os.path.abspath(lowercase__						) and os.path.isfile(self.vocab_file						):
																	copyfile(self.vocab_file  ,  lowercase__						)
										elif not os.path.isfile(self.vocab_file						):
																	with open(lowercase__  ,  'wb'						) as fi:
																								_lowerCAmelCase							=							self.sp_model.serialized_model_proto()
																								fi.write(lowercase__						)

										return (out_vocab_file,)






