

import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bart import BartTokenizer


__lowerCAmelCase			     =       logging.get_logger(__name__)


__lowerCAmelCase			     =       {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

# See all BART models at https://huggingface.co/models?filter=bart
__lowerCAmelCase			     =       {
    'vocab_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/vocab.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/vocab.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json',
    },
    'merges_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/merges.txt',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/merges.txt',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'facebook/bart-base': 'https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json',
        'facebook/bart-large': 'https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json',
        'facebook/bart-large-mnli': 'https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json',
        'facebook/bart-large-cnn': 'https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json',
        'facebook/bart-large-xsum': 'https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json',
        'yjernite/bart_eli5': 'https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json',
    },
}

__lowerCAmelCase			     =       {
    'facebook/bart-base': 1_0_2_4,
    'facebook/bart-large': 1_0_2_4,
    'facebook/bart-large-mnli': 1_0_2_4,
    'facebook/bart-large-cnn': 1_0_2_4,
    'facebook/bart-large-xsum': 1_0_2_4,
    'yjernite/bart_eli5': 1_0_2_4,
}


class 			lowerCamelCase_    (  A__		):
							__lowercase				:	List[Any]        =				VOCAB_FILES_NAMES
							__lowercase				:	List[str]        =				PRETRAINED_VOCAB_FILES_MAP
							__lowercase				:	Dict        =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase				:	Any        =				["input_ids", "attention_mask"]
							__lowercase				:	Tuple        =				BartTokenizer


							def __init__( self      ,				lowerCamelCase_=None      ,				lowerCamelCase_=None      ,				lowerCamelCase_=None      ,				lowerCamelCase_="replace"      ,				lowerCamelCase_="<s>"      ,				lowerCamelCase_="</s>"      ,				lowerCamelCase_="</s>"      ,				lowerCamelCase_="<s>"      ,				lowerCamelCase_="<unk>"      ,				lowerCamelCase_="<pad>"      ,				lowerCamelCase_="<mask>"      ,				lowerCamelCase_=False      ,				lowerCamelCase_=True      ,				**lowerCamelCase_      ,				)							->   Optional[int]:



								"""simple docstring"""

								super().__init__(
								    lowerCamelCase_      ,				lowerCamelCase_      ,				tokenizer_file=lowerCamelCase_      ,				errors=lowerCamelCase_      ,				bos_token=lowerCamelCase_      ,				eos_token=lowerCamelCase_      ,				sep_token=lowerCamelCase_      ,				cls_token=lowerCamelCase_      ,				unk_token=lowerCamelCase_      ,				pad_token=lowerCamelCase_      ,				mask_token=lowerCamelCase_      ,				add_prefix_space=lowerCamelCase_      ,				trim_offsets=lowerCamelCase_      ,				**lowerCamelCase_      ,				)

								_UpperCamelCase			=   json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
								if pre_tok_state.get("add_prefix_space"      ,				lowerCamelCase_						) != add_prefix_space:
									_UpperCamelCase			=   getattr(lowerCamelCase_      ,				pre_tok_state.pop("type"						)						)
									_UpperCamelCase			=   add_prefix_space
									_UpperCamelCase			=   pre_tok_class(**lowerCamelCase_						)

								_UpperCamelCase			=   add_prefix_space

								# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
								_UpperCamelCase			=   "post_processor"
								_UpperCamelCase			=   getattr(self.backend_tokenizer      ,				lowerCamelCase_      ,				lowerCamelCase_						)
								if tokenizer_component_instance:
									_UpperCamelCase			=   json.loads(tokenizer_component_instance.__getstate__()						)

									# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
									if "sep" in state:
										_UpperCamelCase			=   tuple(state["sep"]						)
									if "cls" in state:
										_UpperCamelCase			=   tuple(state["cls"]						)

									_UpperCamelCase			=   False

									if state.get("add_prefix_space"      ,				lowerCamelCase_						) != add_prefix_space:
										_UpperCamelCase			=   add_prefix_space
										_UpperCamelCase			=   True

									if state.get("trim_offsets"      ,				lowerCamelCase_						) != trim_offsets:
										_UpperCamelCase			=   trim_offsets
										_UpperCamelCase			=   True

									if changes_to_apply:
										_UpperCamelCase			=   getattr(lowerCamelCase_      ,				state.pop("type"						)						)
										_UpperCamelCase			=   component_class(**lowerCamelCase_						)
										setattr(self.backend_tokenizer      ,				lowerCamelCase_      ,				lowerCamelCase_						)


							@property
							def  lowercase   ( self						)							->   Tuple:



								"""simple docstring"""

								if self._mask_token is None:
									if self.verbose:
										logger.error("Using mask_token, but it is not set yet."						)
									return None
								return str(self._mask_token						)


							@mask_token.setter
							def  lowercase   ( self      ,				lowerCamelCase_						)							->   Any:



								"""simple docstring"""

								_UpperCamelCase			=   AddedToken(lowerCamelCase_      ,				lstrip=lowerCamelCase_      ,				rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_      ,				lowerCamelCase_						) else value
								_UpperCamelCase			=   value


							def  lowercase   ( self      ,				*lowerCamelCase_      ,				**lowerCamelCase_						)							->   Optional[Any]:



								"""simple docstring"""

								_UpperCamelCase			=   kwargs.get("is_split_into_words"      ,				lowerCamelCase_						)

								if is_split_into_words and not self.add_prefix_space:
									raise ValueError(
									    f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
									    "to use it with pretokenized inputs."						)

								return super()._batch_encode_plus(*lowerCamelCase_      ,				**lowerCamelCase_						)


							def  lowercase   ( self      ,				*lowerCamelCase_      ,				**lowerCamelCase_						)							->   Optional[Any]:



								"""simple docstring"""

								_UpperCamelCase			=   kwargs.get("is_split_into_words"      ,				lowerCamelCase_						)

								if is_split_into_words and not self.add_prefix_space:
									raise ValueError(
									    f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
									    "to use it with pretokenized inputs."						)

								return super()._encode_plus(*lowerCamelCase_      ,				**lowerCamelCase_						)


							def  lowercase   ( self      ,				lowerCamelCase_      ,				lowerCamelCase_ = None						)							->   Union[str, Any]:



								"""simple docstring"""

								_UpperCamelCase			=   self._tokenizer.model.save(lowerCamelCase_      ,				name=lowerCamelCase_						)
								return tuple(lowerCamelCase_						)


							def  lowercase   ( self      ,				lowerCamelCase_      ,				lowerCamelCase_=None						)							->   Optional[int]:



								"""simple docstring"""

								_UpperCamelCase			=   [self.bos_token_id] + token_ids_a + [self.eos_token_id]
								if token_ids_a is None:
									return output

								return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







							def  lowercase   ( self      ,				lowerCamelCase_      ,				lowerCamelCase_ = None						)							->   Optional[int]:



								"""simple docstring"""

								_UpperCamelCase			=   [self.sep_token_id]
								_UpperCamelCase			=   [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]












import sys
import turtle






def     a     (		lowerCamelCase_						,  lowerCamelCase_							):






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






def     a     (		lowerCamelCase_						,  lowerCamelCase_						,  lowerCamelCase_						,  lowerCamelCase_						,  ):






				'''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(lowerCamelCase_						,  get_mid(lowerCamelCase_						,  lowerCamelCase_							)						,  get_mid(lowerCamelCase_						,  lowerCamelCase_							)						,  depth - 1							)
				triangle(lowerCamelCase_						,  get_mid(lowerCamelCase_						,  lowerCamelCase_							)						,  get_mid(lowerCamelCase_						,  lowerCamelCase_							)						,  depth - 1							)
				triangle(lowerCamelCase_						,  get_mid(lowerCamelCase_						,  lowerCamelCase_							)						,  get_mid(lowerCamelCase_						,  lowerCamelCase_							)						,  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>'
														)
							A__      :     Dict       =					turtle.Turtle()
							my_pen.ht()
							my_pen.speed(5)
							my_pen.pencolor('red')

							A__      :     Union[str, 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]))




