




import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
	import jieba

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


__lowerCamelCase   :						Optional[Any]				=			logging.get_logger(__name__)

__lowerCamelCase   :						int				=			{'''vocab_file''': '''vocab.txt'''}

__lowerCamelCase   :						Any				=			{
    '''vocab_file''': {
        '''openbmb/cpm-ant-10b''': '''https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt''',
    },
}

__lowerCamelCase   :						Any				=			{
    '''openbmb/cpm-ant-10b''': 10_24,
}







def 		lowercase__   (		__A:	Optional[Any]				):





					'''simple docstring'''






					__magic_name__							:	Union[str, Any]    							=							collections.OrderedDict()
					with open(__A							,'''r'''							,encoding='''utf-8'''				) as reader:
										__magic_name__							:	Tuple    							=							reader.readlines()
					for index, token in enumerate(__A				):
										__magic_name__							:	str    							=							token.rstrip('''\n'''				)
										__magic_name__							:	Optional[int]    							=							index
					return vocab


class    lowerCamelCase    (		_lowerCamelCase						):






			'''simple docstring'''





			def __init__( self			:   int       ,						lowerCamelCase_			:   Dict       ,						lowerCamelCase_			:   Optional[Any]="<unk>"       ,						lowerCamelCase_			:   Dict=200  )						->   Union[str, Any]:
								__magic_name__							:	Union[str, Any]    							=							vocab
								__magic_name__							:	Union[str, Any]    							=							unk_token
								__magic_name__							:	List[Any]    							=							max_input_chars_per_word


			def 							UpperCAmelCase__       ( self			:   Dict       ,						lowerCamelCase_			:   Any  )						->   Dict:
								__magic_name__							:	List[Any]    							=							list(lowerCamelCase_  )
								if len(lowerCamelCase_  ) > self.max_input_chars_per_word:
													return [self.unk_token]

								__magic_name__							:	int    							=							0
								__magic_name__							:	str    							=							[]
								while start < len(lowerCamelCase_  ):
													__magic_name__							:	Any    							=							len(lowerCamelCase_  )
													__magic_name__							:	Dict    							=							None
													while start < end:
																		__magic_name__							:	Optional[int]    							=							''''''.join(chars[start:end]  )
																		if substr in self.vocab:
																							__magic_name__							:	Optional[int]    							=							substr
																							break
																		end -= 1
													if cur_substr is None:
																		sub_tokens.append(self.unk_token  )
																		start += 1
													else:
																		sub_tokens.append(lowerCamelCase_  )
																		__magic_name__							:	Any    							=							end

								return sub_tokens






class    lowerCamelCase    (		_lowerCamelCase						):






			'''simple docstring'''





			UpperCamelCase__								=VOCAB_FILES_NAMES
			UpperCamelCase__								=PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__								=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase__								=['''input_ids''', '''attention_mask''']
			UpperCamelCase__								=False

			def __init__( self			:   Optional[Any]       ,						lowerCamelCase_			:   List[str]       ,						lowerCamelCase_			:   Tuple="<d>"       ,						lowerCamelCase_			:   Dict="</d>"       ,						lowerCamelCase_			:   Optional[int]="<s>"       ,						lowerCamelCase_			:   Union[str, Any]="</s>"       ,						lowerCamelCase_			:   Optional[Any]="<pad>"       ,						lowerCamelCase_			:   Union[str, Any]="<unk>"       ,						lowerCamelCase_			:   Optional[int]="</n>"       ,						lowerCamelCase_			:   int="</_>"       ,						lowerCamelCase_			:   List[str]="left"       ,						**lowerCamelCase_			:   Dict       ,						)						->   Any:
								requires_backends(self       ,						['''jieba''']  )
								super().__init__(
								    bod_token=lowerCamelCase_       ,						eod_token=lowerCamelCase_       ,						bos_token=lowerCamelCase_       ,						eos_token=lowerCamelCase_       ,						pad_token=lowerCamelCase_       ,						unk_token=lowerCamelCase_       ,						line_token=lowerCamelCase_       ,						space_token=lowerCamelCase_       ,						padding_side=lowerCamelCase_       ,						**lowerCamelCase_       ,						)
								__magic_name__							:	Dict    							=							bod_token
								__magic_name__							:	List[Any]    							=							eod_token
								__magic_name__							:	Any    							=							load_vocab(lowerCamelCase_  )
								__magic_name__							:	Union[str, Any]    							=							self.encoder[space_token]
								__magic_name__							:	Optional[Any]    							=							self.encoder[line_token]

								del self.encoder[space_token]
								del self.encoder[line_token]

								__magic_name__							:	List[str]    							=							collections.OrderedDict(sorted(self.encoder.items()       ,						key=lambda lowerCamelCase_  : x[1]  )  )
								__magic_name__							:	Dict    							=							{v: k for k, v in self.encoder.items()}

								__magic_name__							:	Dict    							=							WordpieceTokenizer(vocab=self.encoder       ,						unk_token=self.unk_token  )

			@property
			def 							UpperCAmelCase__       ( self			:   List[str]  )						->   Optional[Any]:
								return self.encoder[self.bod_token]

			@property
			def 							UpperCAmelCase__       ( self			:   Any  )						->   Union[str, Any]:
								return self.encoder[self.eod_token]

			@property
			def 							UpperCAmelCase__       ( self			:   Optional[Any]  )						->   Optional[Any]:
								return self.encoder["\n"]

			@property
			def 							UpperCAmelCase__       ( self			:   str  )						->   int:
								return len(self.encoder  )

			def 							UpperCAmelCase__       ( self			:   int  )						->   Union[str, Any]:
								return dict(self.encoder       ,						**self.added_tokens_encoder  )

			def 							UpperCAmelCase__       ( self			:   Any       ,						lowerCamelCase_			:   List[str]  )						->   Dict:
								__magic_name__							:	int    							=							[]
								for x in jieba.cut(lowerCamelCase_       ,						cut_all=lowerCamelCase_  ):
													output_tokens.extend(self.wordpiece_tokenizer.tokenize(lowerCamelCase_  )  )
								return output_tokens

			def 							UpperCAmelCase__       ( self			:   Dict       ,						lowerCamelCase_			:   List[str]       ,						**lowerCamelCase_			:   Optional[int]  )						->   Optional[Any]:
								__magic_name__							:	Optional[int]    							=							[i for i in token_ids if i >= 0]
								__magic_name__							:	Union[str, Any]    							=							[
								    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
								]
								return super()._decode(lowerCamelCase_       ,						**lowerCamelCase_  )

			def 							UpperCAmelCase__       ( self			:   int       ,						lowerCamelCase_			:   Dict  )						->   List[str]:
								return token in self.encoder

			def 							UpperCAmelCase__       ( self			:   str       ,						lowerCamelCase_			:   List[str]  )						->   str:
								return "".join(lowerCamelCase_  )

			def 							UpperCAmelCase__       ( self			:   Tuple       ,						lowerCamelCase_			:   Union[str, Any]  )						->   int:
								return self.encoder.get(lowerCamelCase_       ,						self.encoder.get(self.unk_token  )  )

			def 							UpperCAmelCase__       ( self			:   Optional[Any]       ,						lowerCamelCase_			:   List[str]  )						->   Any:
								return self.decoder.get(lowerCamelCase_       ,						self.unk_token  )

			def 							UpperCAmelCase__       ( self			:   List[Any]       ,						lowerCamelCase_			:   str       ,						lowerCamelCase_			:   Optional[str] = None  )						->   Tuple[str]:
								if os.path.isdir(lowerCamelCase_  ):
													__magic_name__							:	str    							=							os.path.join(
													    lowerCamelCase_       ,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']  )
								else:
													__magic_name__							:	Any    							=							(filename_prefix + '''-''' if filename_prefix else '''''') + save_directory
								__magic_name__							:	int    							=							0
								if " " in self.encoder:
													__magic_name__							:	List[str]    							=							self.encoder[''' ''']
													del self.encoder[" "]
								if "\n" in self.encoder:
													__magic_name__							:	Optional[int]    							=							self.encoder['''\n''']
													del self.encoder["\n"]
								__magic_name__							:	Any    							=							collections.OrderedDict(sorted(self.encoder.items()       ,						key=lambda lowerCamelCase_  : x[1]  )  )
								with open(lowerCamelCase_       ,						'''w'''       ,						encoding='''utf-8'''  ) as writer:
													for token, token_index in self.encoder.items():
																		if index != token_index:
																							logger.warning(
																							    F'''Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'''
																							    ''' Please check that the vocabulary is not corrupted!'''  )
																							__magic_name__							:	int    							=							token_index
																		writer.write(token + '''\n'''  )
																		index += 1
								return (vocab_file,)

			def 							UpperCAmelCase__       ( self			:   str       ,						lowerCamelCase_			:   List[int]       ,						lowerCamelCase_			:   List[int] = None  )						->   List[int]:
								if token_ids_a is None:
													return [self.bos_token_id] + token_ids_a
								return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a


			def 							UpperCAmelCase__       ( self			:   str       ,						lowerCamelCase_			:   List[int]       ,						lowerCamelCase_			:   Optional[List[int]] = None       ,						lowerCamelCase_			:   bool = False  )						->   List[int]:

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

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









import sys
import turtle







def 		lowercase__   (		__A:	tuple[float, float]							,__A:	tuple[float, float]				):





					'''simple docstring'''






					return (pa[0] + pa[0]) / 2, (pa[1] + pa[1]) / 2







def 		lowercase__   (		__A:	tuple[float, float]							,__A:	tuple[float, float]							,__A:	tuple[float, float]							,__A:	int							,):





					'''simple docstring'''






					my_pen.up()
					my_pen.goto(vertexa[0]							,vertexa[1]				)
					my_pen.down()
					my_pen.goto(vertexa[0]							,vertexa[1]				)
					my_pen.goto(vertexa[0]							,vertexa[1]				)
					my_pen.goto(vertexa[0]							,vertexa[1]				)

					if depth == 0:
										return

					triangle(__A							,get_mid(__A							,__A				)							,get_mid(__A							,__A				)							,depth - 1				)
					triangle(__A							,get_mid(__A							,__A				)							,get_mid(__A							,__A				)							,depth - 1				)
					triangle(__A							,get_mid(__A							,__A				)							,get_mid(__A							,__A				)							,depth - 1				)


if __name__ == "__main__":
	if len(sys.argv) != 2:
		raise ValueError(
		    '''Correct format for using this script: '''
		    '''python fractals.py <int:depth_for_fractal>'''
		)
	__lowerCamelCase   :						Any				=			turtle.Turtle()
	my_pen.ht()
	my_pen.speed(5)
	my_pen.pencolor('''red''')

	__lowerCamelCase   :						Optional[Any]				=			[(-1_75, -1_25), (0, 1_75), (1_75, -1_25)]  # vertices of triangle
	triangle(vertices[0], vertices[1], vertices[2], int(sys.argv[1]))



