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

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_lowercase:	Any       			=		logging.get_logger(__name__)

_lowercase:	List[Any]       			=		{"""vocab_file""": """sentencepiece.model"""}

_lowercase:	Dict       			=		{
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
}

_lowercase:	List[Any]       			=		{
    """google/rembert""": 2_5_6,
}



class        lowerCamelCase__				(   __SCREAMING_SNAKE_CASE				):
			UpperCamelCase__    							=VOCAB_FILES_NAMES
			UpperCamelCase__    							=PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__    							=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





			def __init__(       self	:	Tuple  ,  lowercase__	:	Tuple  ,  lowercase__	:	Any=False  ,  lowercase__	:	Tuple=True  ,  lowercase__	:	Union[str, Any]=True  ,  lowercase__	:	Union[str, Any]="[CLS]"  ,  lowercase__	:	Optional[int]="[SEP]"  ,  lowercase__	:	int="[UNK]"  ,  lowercase__	:	Any="[SEP]"  ,  lowercase__	:	str="[PAD]"  ,  lowercase__	:	int="[CLS]"  ,  lowercase__	:	Optional[int]="[MASK]"  ,  **lowercase__	:	List[str]  ,  ):
										super().__init__(
										    do_lower_case=_A  ,  remove_space=_A  ,  keep_accents=_A  ,  bos_token=_A  ,  eos_token=_A  ,  unk_token=_A  ,  sep_token=_A  ,  pad_token=_A  ,  cls_token=_A  ,  mask_token=_A  ,  **_A  ,  )

										_lowerCAmelCase							=							do_lower_case
										_lowerCAmelCase							=							remove_space
										_lowerCAmelCase							=							keep_accents
										_lowerCAmelCase							=							vocab_file

										_lowerCAmelCase							=							spm.SentencePieceProcessor()
										self.sp_model.Load(_A						)





			@property
			def   SCREAMING_SNAKE_CASE__     (       self	:	str						):
										return len(self.sp_model						)





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





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





			def __setstate__(       self	:	Any  ,  lowercase__	:	str						):
										_lowerCAmelCase							=							d
										_lowerCAmelCase							=							spm.SentencePieceProcessor()
										self.sp_model.Load(self.vocab_file						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[Any]  ,  lowercase__	:	Optional[Any]  ,  lowercase__	:	str=False						):
										_lowerCAmelCase							=							self.sp_model.EncodeAsPieces(_A						)
										return pieces





			def   SCREAMING_SNAKE_CASE__     (       self	:	Any  ,  lowercase__	:	Union[str, Any]						):
										return self.sp_model.PieceToId(_A						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]  ,  lowercase__	:	Optional[Any]						):
										return self.sp_model.IdToPiece(_A						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]  ,  lowercase__	:	List[Any]						):
										_lowerCAmelCase							=							self.sp_model.decode_pieces(_A						)
										return out_string





			def   SCREAMING_SNAKE_CASE__     (       self	:	Optional[Any]  ,  lowercase__	:	Dict  ,  lowercase__	:	List[str] = None						):
										_lowerCAmelCase							=							[self.sep_token_id]
										_lowerCAmelCase							=							[self.cls_token_id]
										if token_ids_a is None:
																	return cls + token_ids_a + sep
										return cls + token_ids_a + sep + token_ids_a + sep





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







										if already_has_special_tokens:
																	if token_ids_a is not None:
																								raise ValueError(
																								    'You should not supply a second sequence if the provided sequence of '
																								    'ids is already formatted with special tokens for the model.'						)
																	return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

										if token_ids_a is not None:
																	return [1] + ([0] * len(_A						)) + [1] + ([0] * len(_A						)) + [1]
										return [1] + ([0] * len(_A						)) + [1]





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]  ,  lowercase__	:	Union[str, Any]  ,  lowercase__	:	List[str] = 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						) * [0] + len(token_ids_a + sep						) * [1]





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







										if not os.path.isdir(_A						):
																	logger.error('Vocabulary path ({}) should be a directory'.format(_A						)						)
																	return
										_lowerCAmelCase							=							os.path.join(
										    _A  ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']						)

										if os.path.abspath(self.vocab_file						) != os.path.abspath(_A						):
																	copyfile(self.vocab_file  ,  _A						)

										return (out_vocab_file,)













"""simple docstring"""


import colorsys

from PIL import Image  # type: ignore

def      UpperCamelCase							(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     ):
						UpperCamelCase				:		Optional[int]				   =			x
						UpperCamelCase				:		str				   =			y
						for step in range(SCREAMING_SNAKE_CASE     ):  # noqa: B007
												UpperCamelCase				:		str				   =			a * a - b * b + x
												UpperCamelCase				:		Any				   =			2 * a * b + y
												UpperCamelCase				:		List[str]				   =			a_new

												# divergence happens for all complex number with an absolute value
												# greater than 4
												if a * a + b * b > 4:
																		break
						return step / (max_step - 1)

def      UpperCamelCase							(SCREAMING_SNAKE_CASE     ):
						if distance == 1:
												return (0, 0, 0)
						else:
												return (255, 255, 255)

def      UpperCamelCase							(SCREAMING_SNAKE_CASE     ):
						if distance == 1:
												return (0, 0, 0)
						else:
												return tuple(round(i * 255     ) for i in colorsys.hsv_to_rgb(SCREAMING_SNAKE_CASE							,     1							,     1     )     )

def      UpperCamelCase							(SCREAMING_SNAKE_CASE = 800							,     SCREAMING_SNAKE_CASE = 600							,     SCREAMING_SNAKE_CASE = -0.6							,     SCREAMING_SNAKE_CASE = 0							,     SCREAMING_SNAKE_CASE = 3.2							,     SCREAMING_SNAKE_CASE = 50							,     SCREAMING_SNAKE_CASE = True							,     ):
						UpperCamelCase				:		Tuple				   =			Image.new("""RGB"""							,     (image_width, image_height)     )
						UpperCamelCase				:		Dict				   =			img.load()

						# loop through the image-coordinates
						for image_x in range(SCREAMING_SNAKE_CASE     ):
												for image_y in range(SCREAMING_SNAKE_CASE     ):
																		# determine the figure-coordinates based on the image-coordinates
																		UpperCamelCase				:		Dict				   =			figure_width / image_width * image_height
																		UpperCamelCase				:		Tuple				   =			figure_center_x + (image_x / image_width - 0.5) * figure_width
																		UpperCamelCase				:		Dict				   =			figure_center_y + (image_y / image_height - 0.5) * figure_height

																		UpperCamelCase				:		Union[str, Any]				   =			get_distance(SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE							,     SCREAMING_SNAKE_CASE     )

																		# color the corresponding pixel based on the selected coloring-function
																		if use_distance_color_coding:
																								UpperCamelCase				:		int				   =			get_color_coded_rgb(SCREAMING_SNAKE_CASE     )
																		else:
																								UpperCamelCase				:		Optional[int]				   =			get_black_and_white_rgb(SCREAMING_SNAKE_CASE     )

						return img


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		# colored version, full figure
		__magic_name__       :					int						=			get_image()

		# uncomment for colored version, different section, zoomed in
		# img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
		# figure_width = 0.8)

		# uncomment for black and white version, full figure
		# img = get_image(use_distance_color_coding = False)

		# uncomment to save the image
		# img.save("mandelbrot.png")

		img.show()



