






import json
import os
from typing import Dict, List, Optional, Tuple

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


A__      :     str       =					logging.get_logger(__name__)


A__      :     int       =					{
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

A__      :     Tuple       =					{
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

A__      :     List[str]       =					'</w>'
A__      :     Any       =					'@@ '






def     a     (		lowerCamelCase_							):






				'''simple docstring'''
				lowercase__  					=     set()
				lowercase__  					=     word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)							)
								lowercase__  					=     char
				return pairs


# Speech2Text2 has no max input length
A__      :     List[Any]       =					{'facebook/s2t-wav2vec2-large-en-de': 10_24}




class  _UpperCAmelCase   (			A__      ):

				"""simple docstring"""




				lowercase__											=			VOCAB_FILES_NAMES
				lowercase__											=			PRETRAINED_VOCAB_FILES_MAP
				lowercase__											=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowercase__											=			["""input_ids""", """attention_mask"""]




				def __init__(	self		:       List[Any],    lowerCamelCase		:       Optional[int],    lowerCamelCase		:       List[Any]="<s>",    lowerCamelCase		:       List[str]="<pad>",    lowerCamelCase		:       int="</s>",    lowerCamelCase		:       int="<unk>",    lowerCamelCase		:       Optional[int]=False,    lowerCamelCase		:       str=None,    **lowerCamelCase		:       List[Any],    ):

								'''simple docstring'''
								super().__init__(
								    unk_token=lowerCamelCase,    bos_token=lowerCamelCase,    eos_token=lowerCamelCase,    pad_token=lowerCamelCase,    do_lower_case=lowerCamelCase,    **lowerCamelCase,    )

								lowercase__  					=     do_lower_case

								with open(lowerCamelCase,    encoding='''utf-8'''    ) as vocab_handle:
												lowercase__  					=     json.load(lowerCamelCase    )
								lowercase__  					=     {v: k for k, v in self.encoder.items()}

								if merges_file is None:
												logger.info(F"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""    )

												lowercase__  					=     None
												lowercase__  					=     None
								else:
												with open(lowerCamelCase,    encoding='''utf-8'''    ) as merges_handle:
																lowercase__  					=     merges_handle.read().split('''\n'''    )[:-1]

												lowercase__  					=     [tuple(merge.split()[:2]    ) for merge in merges]
												lowercase__  					=     dict(zip(lowerCamelCase,    range(len(lowerCamelCase    )    )    )    )
												lowercase__  					=     {}




				@property
				def 							lowercase__  (	self		:       Any    ):

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




				def 							lowercase__  (	self		:       Dict    ):

								'''simple docstring'''
								return dict(self.encoder,    **self.added_tokens_encoder    )




				def 							lowercase__  (	self		:       List[str],    lowerCamelCase		:       int    ):

								'''simple docstring'''
								lowercase__  					=     tuple(token[:-1]    ) + (token[-1] + BPE_TOKEN_MERGES,)
								if token in self.cache:
												return self.cache[token]
								lowercase__  					=     get_pairs(lowerCamelCase    )

								if not pairs:
												return token

								while True:
												lowercase__  					=     min(lowerCamelCase,    key=lambda lowerCamelCase    : self.bpe_ranks.get(lowerCamelCase,    float('''inf'''    )    )    )
												if bigram not in self.bpe_ranks:
																break
												lowercase__					,		lowercase__  					=     bigram
												lowercase__  					=     []
												lowercase__  					=     0
												while i < len(lowerCamelCase    ):
																try:
																				lowercase__  					=     word.index(lowerCamelCase,    lowerCamelCase    )
																except ValueError:
																				new_word.extend(word[i:]    )
																				break
																else:
																				new_word.extend(word[i:j]    )
																				lowercase__  					=     j

																if word[i] == first and i < len(lowerCamelCase    ) - 1 and word[i + 1] == second:
																				new_word.append(first + second    )
																				i += 2
																else:
																				new_word.append(word[i]    )
																				i += 1
												lowercase__  					=     tuple(lowerCamelCase    )
												lowercase__  					=     new_word
												if len(lowerCamelCase    ) == 1:
																break
												else:
																lowercase__  					=     get_pairs(lowerCamelCase    )
								lowercase__  					=     ''' '''.join(lowerCamelCase    )
								if word == "\n  " + BPE_TOKEN_MERGES:
												lowercase__  					=     '''\n''' + BPE_TOKEN_MERGES

								if word.endswith(lowerCamelCase    ):
												lowercase__  					=     word.replace(lowerCamelCase,    ''''''    )

								lowercase__  					=     word.replace(''' ''',    lowerCamelCase    )
								lowercase__  					=     word
								return word




				def 							lowercase__  (	self		:       Dict,    lowerCamelCase		:       int    ):

								'''simple docstring'''

								if self.bpe_ranks is None:
												raise ValueError(
												    '''This tokenizer was instantiated without a `merges.txt` file, so'''
												    ''' that it can only be used for decoding, not for encoding.'''
												    '''Make sure to provide `merges.txt` file at instantiation to enable '''
												    '''encoding.'''    )

								if self.do_lower_case:
												lowercase__  					=     text.lower()

								lowercase__  					=     text.split()

								lowercase__  					=     []
								for token in text:
												if token:
																split_tokens.extend(list(self.bpe(lowerCamelCase    ).split(''' '''    )    )    )

								return split_tokens




				def 							lowercase__  (	self		:       Optional[int],    lowerCamelCase		:       str    ):

								'''simple docstring'''
								return self.encoder.get(lowerCamelCase,    self.encoder.get(self.unk_token    )    )




				def 							lowercase__  (	self		:       Any,    lowerCamelCase		:       int    ):

								'''simple docstring'''
								lowercase__  					=     self.decoder.get(lowerCamelCase,    self.unk_token    )
								return result




				def 							lowercase__  (	self		:       int,    lowerCamelCase		:       List[str]    ):

								'''simple docstring'''
								lowercase__  					=     ''' '''.join(lowerCamelCase    )

								# make sure @@ tokens are concatenated
								lowercase__  					=     ''''''.join(string.split(lowerCamelCase    )    )

								return string




				def 							lowercase__  (	self		:       Any,    lowerCamelCase		:       str,    lowerCamelCase		:       Optional[str] = None    ):

								'''simple docstring'''
								if not os.path.isdir(lowerCamelCase    ):
												logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""    )
												return
								lowercase__  					=     os.path.join(
								    lowerCamelCase,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )
								lowercase__  					=     os.path.join(
								    lowerCamelCase,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']    )

								with open(lowerCamelCase,    '''w''',    encoding='''utf-8'''    ) as f:
												f.write(json.dumps(self.encoder,    indent=2,    sort_keys=lowerCamelCase,    ensure_ascii=lowerCamelCase    ) + '''\n'''    )

								lowercase__  					=     0
								if self.bpe_ranks is None:
												return (vocab_file,)

								with open(lowerCamelCase,    '''w''',    encoding='''utf-8'''    ) as writer:
												for bpe_tokens, token_index in sorted(self.bpe_ranks.items(),    key=lambda lowerCamelCase    : kv[1]    ):
																if index != token_index:
																				logger.warning(
																				    F"""Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."""
																				    ''' Please check that the tokenizer is not corrupted!'''    )
																				lowercase__  					=     token_index
																writer.write(''' '''.join(lowerCamelCase    ) + '''\n'''    )
																index += 1

								return (vocab_file, merges_file)












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]))




