
"""simple docstring"""





import os
import unicodedata
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 SPIECE_UNDERLINE, logging


_a								=						logging.get_logger(__name__)

_a								=						{"""vocab_file""": """spiece.model"""}

_a								=						{
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    }
}






class        _UpperCAmelCase(       lowerCamelCase      ):



		def __init__(   self							,						__a							,						__a=False							,						__a=True							,						__a=False							,						__a="<s>"							,						__a="</s>"							,						__a="<unk>"							,						__a="<sep>"							,						__a="<pad>"							,						__a="<cls>"							,						__a="<mask>"							,						__a=["<eop>", "<eod>"]							,						__a = None							,						**__a							,						)			->			None:






							'''simple docstring'''
							_UpperCamelCase									=    AddedToken(__a							,						lstrip=__a							,						rstrip=__a) if isinstance(__a							,						__a) else mask_token

							_UpperCamelCase									=    {} if sp_model_kwargs is None else sp_model_kwargs

							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							,						additional_special_tokens=__a							,						sp_model_kwargs=self.sp_model_kwargs							,						**__a							,						)

							_UpperCamelCase									=    3

							_UpperCamelCase									=    do_lower_case
							_UpperCamelCase									=    remove_space
							_UpperCamelCase									=    keep_accents
							_UpperCamelCase									=    vocab_file

							_UpperCamelCase									=    spm.SentencePieceProcessor(**self.sp_model_kwargs)
							self.sp_model.Load(__a)

							try:
												import jieba
							except ModuleNotFoundError as error:
												raise error.__class__(
												    '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
												    '''See https://pypi.org/project/jieba/ for installation.''')
							_UpperCamelCase									=    jieba
							_UpperCamelCase									=    str.maketrans(''' \n'''							,						'''\u2582\u2583''')



		@property
		# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
		def 		UpperCAmelCase				(   self)			->			int:






							'''simple docstring'''
							return len(self.sp_model)



		def 		UpperCAmelCase				(   self)			->			List[str]:






							'''simple docstring'''
							_UpperCamelCase									=    {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)			->			Dict:






							'''simple docstring'''
							_UpperCamelCase									=    self.__dict__.copy()
							_UpperCamelCase									=    None
							return state



		def __setstate__(   self							,						__a)			->			str:






							'''simple docstring'''
							_UpperCamelCase									=    d

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

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



		def 		UpperCAmelCase				(   self							,						__a)			->			Dict:






							'''simple docstring'''
							if self.remove_space:
												_UpperCamelCase									=    ''' '''.join(inputs.strip().split())
							else:
												_UpperCamelCase									=    inputs
							_UpperCamelCase									=    outputs.replace('''``'''							,						'''"''').replace('''\'\''''							,						'''"''')

							if not self.keep_accents:
												_UpperCamelCase									=    unicodedata.normalize('''NFKD'''							,						__a)
												_UpperCamelCase									=    ''''''.join([c for c in outputs if not unicodedata.combining(__a)])
							if self.do_lower_case:
												_UpperCamelCase									=    outputs.lower()

							return outputs



		def 		UpperCAmelCase				(   self							,						__a)			->			List[str]:






							'''simple docstring'''
							_UpperCamelCase									=    self.preprocess_text(__a)
							_UpperCamelCase									=    self.sp_model.encode(__a							,						out_type=__a)
							_UpperCamelCase									=    []
							for piece in pieces:
												if len(__a) > 1 and piece[-1] == str(''',''') and piece[-2].isdigit():
																	_UpperCamelCase									=    self.sp_model.EncodeAsPieces(piece[:-1].replace(__a							,						''''''))
																	if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																						if len(cur_pieces[0]) == 1:
																											_UpperCamelCase									=    cur_pieces[1:]
																						else:
																											_UpperCamelCase									=    cur_pieces[0][1:]
																	cur_pieces.append(piece[-1])
																	new_pieces.extend(__a)
												else:
																	new_pieces.append(__a)

							return new_pieces



		def 		UpperCAmelCase				(   self							,						__a)			->			List[Any]:






							'''simple docstring'''
							return self.sp_model.PieceToId(__a)



		def 		UpperCAmelCase				(   self							,						__a)			->			Any:






							'''simple docstring'''
							return self.sp_model.IdToPiece(__a)



		def 		UpperCAmelCase				(   self							,						__a)			->			Any:






							'''simple docstring'''
							_UpperCamelCase									=    ''''''.join(__a).replace(__a							,						''' ''').strip()
							return out_string



		def 		UpperCAmelCase				(   self							,						__a							,						__a = None)			->			List[int]:






							'''simple docstring'''
							_UpperCamelCase									=    [self.sep_token_id]
							_UpperCamelCase									=    [self.cls_token_id]
							if token_ids_a is None:
												return token_ids_a + sep + cls
							return token_ids_a + sep + token_ids_a + sep + cls



		def 		UpperCAmelCase				(   self							,						__a							,						__a = None							,						__a = False)			->			List[int]:






							'''simple docstring'''

							if already_has_special_tokens:
												return super().get_special_tokens_mask(
												    token_ids_a=__a							,						token_ids_a=__a							,						already_has_special_tokens=__a)

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



		def 		UpperCAmelCase				(   self							,						__a							,						__a = None)			->			List[int]:






							'''simple docstring'''
							_UpperCamelCase									=    [self.sep_token_id]
							_UpperCamelCase									=    [2]

							if token_ids_a is None:
												return len(token_ids_a + sep) * [0] + cls_segment_id
							return len(token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1] + cls_segment_id



		def 		UpperCAmelCase				(   self							,						__a							,						__a = None)			->			Tuple[str]:






							'''simple docstring'''
							if not os.path.isdir(__a):
												logger.error(F'''Vocabulary path ({save_directory}) should be a directory''')
												return
							_UpperCamelCase									=    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) and os.path.isfile(self.vocab_file):
												copyfile(self.vocab_file							,						__a)
							elif not os.path.isfile(self.vocab_file):
												with open(__a							,						'''wb''') as fi:
																	_UpperCamelCase									=    self.sp_model.serialized_model_proto()
																	fi.write(__a)

							return (out_vocab_file,)




		def 		UpperCAmelCase				(   self							,						*__a							,						**__a)			->			Optional[int]:






							'''simple docstring'''
							_UpperCamelCase									=    super()._decode(*__a							,						**__a)
							_UpperCamelCase									=    text.replace(''' '''							,						'''''').replace('''\u2582'''							,						''' ''').replace('''\u2583'''							,						'''\n''')
							return text














import colorsys

from PIL import Image  # type: ignore






def 	UpperCamelCase	(							snake_case__  : float						,snake_case__  : float						,snake_case__  : int	):




     '''simple docstring'''






     __snake_case      :List[Any] 							=    x
     __snake_case      :str 							=    y
     for step in range(snake_case__	):  # noqa: B007
          __snake_case      :Tuple 							=    a * a - b * b + x
          __snake_case      :Dict 							=    2 * a * b + y
          __snake_case      :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	(							snake_case__  : float	):




     '''simple docstring'''






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






def 	UpperCamelCase	(							snake_case__  : float	):




     '''simple docstring'''






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






def 	UpperCamelCase	(							snake_case__  : int = 800						,snake_case__  : int = 600						,snake_case__  : float = -0.6						,snake_case__  : float = 0						,snake_case__  : float = 3.2						,snake_case__  : int = 50						,snake_case__  : bool = True						,):




     '''simple docstring'''






     __snake_case      :Tuple 							=    Image.new("""RGB"""						,(image_width, image_height)	)
     __snake_case      :Dict 							=    img.load()

     # loop through the image-coordinates
     for image_x in range(snake_case__	):
          for image_y in range(snake_case__	):
               # determine the figure-coordinates based on the image-coordinates
               __snake_case      :Dict 							=    figure_width / image_width * image_height
               __snake_case      :Any 							=    figure_center_x + (image_x / image_width - 0.5) * figure_width
               __snake_case      :List[str] 							=    figure_center_y + (image_y / image_height - 0.5) * figure_height

               __snake_case      :Tuple 							=    get_distance(snake_case__						,snake_case__						,snake_case__	)

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

     return img


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     # colored version, full figure
     lowerCamelCase__       		=  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()


