




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

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


__UpperCAmelCase     							=						logging.get_logger(__name__)


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

__UpperCAmelCase     							=						{
    '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'
        ),
    },
}

__UpperCAmelCase     							=						'</w>'
__UpperCAmelCase     							=						'@@ '




def 					lowercase__				(					__snake_case   :							str  ):


					'''simple docstring'''


					UpperCAmelCase_   :				List[Any]						=						set()
					UpperCAmelCase_   :				Any						=						word[0]
					for char in word[1:]:
										pairs.add((prev_char, char)  )
										UpperCAmelCase_   :				Optional[Any]						=						char
					return pairs


# Speech2Text2 has no max input length
__UpperCAmelCase     							=						{'facebook/s2t-wav2vec2-large-en-de': 1024}






class   lowerCamelCase				(_snake_case      ):







		'''simple docstring'''



		_snake_case   :   str							=  VOCAB_FILES_NAMES
		_snake_case   :   Tuple							=  PRETRAINED_VOCAB_FILES_MAP
		_snake_case   :   List[str]							=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_snake_case   :   Optional[int]							=  ['''input_ids''', '''attention_mask''']



		def __init__(							self    ,		_UpperCamelCase    ,		_UpperCamelCase="<s>"    ,		_UpperCamelCase="<pad>"    ,		_UpperCamelCase="</s>"    ,		_UpperCamelCase="<unk>"    ,		_UpperCamelCase=False    ,		_UpperCamelCase=None    ,		**_UpperCamelCase    ,		)     ->							Dict:
							super().__init__(
							    unk_token=_SCREAMING_SNAKE_CASE    ,		bos_token=_SCREAMING_SNAKE_CASE    ,		eos_token=_SCREAMING_SNAKE_CASE    ,		pad_token=_SCREAMING_SNAKE_CASE    ,		do_lower_case=_SCREAMING_SNAKE_CASE    ,		**_SCREAMING_SNAKE_CASE    ,		)

							UpperCAmelCase_   :				str						=						do_lower_case

							with open(_SCREAMING_SNAKE_CASE    ,		encoding='utf-8'       ) as vocab_handle:
												UpperCAmelCase_   :				List[Any]						=						json.load(_SCREAMING_SNAKE_CASE       )
							UpperCAmelCase_   :				List[str]						=						{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."       )

												UpperCAmelCase_   :				List[Any]						=						None
												UpperCAmelCase_   :				Optional[Any]						=						None
							else:
												with open(_SCREAMING_SNAKE_CASE    ,		encoding='utf-8'       ) as merges_handle:
																	UpperCAmelCase_   :				Union[str, Any]						=						merges_handle.read().split('\n'       )[:-1]

												UpperCAmelCase_   :				List[str]						=						[tuple(merge.split()[:2]       ) for merge in merges]
												UpperCAmelCase_   :				Union[str, Any]						=						dict(zip(_SCREAMING_SNAKE_CASE    ,		range(len(_SCREAMING_SNAKE_CASE       )       )       )       )
												UpperCAmelCase_   :				List[str]						=						{}



		@property
		def  __UpperCAmelCase      (							self       )     ->							int:
							return len(self.decoder       )



		def  __UpperCAmelCase      (							self       )     ->							Dict:
							return dict(self.encoder    ,		**self.added_tokens_encoder       )



		def  __UpperCAmelCase      (							self    ,		_UpperCamelCase       )     ->							Optional[Any]:
							UpperCAmelCase_   :				Any						=						tuple(token[:-1]       ) + (token[-1] + BPE_TOKEN_MERGES,)
							if token in self.cache:
												return self.cache[token]
							UpperCAmelCase_   :				str						=						get_pairs(_SCREAMING_SNAKE_CASE       )

							if not pairs:
												return token

							while True:
												UpperCAmelCase_   :				Union[str, Any]						=						min(_SCREAMING_SNAKE_CASE    ,		key=lambda _UpperCamelCase       : self.bpe_ranks.get(_SCREAMING_SNAKE_CASE    ,		float('inf'       )       )       )
												if bigram not in self.bpe_ranks:
																	break
												UpperCAmelCase_   :				Dict						=						bigram
												UpperCAmelCase_   :				str						=						[]
												UpperCAmelCase_   :				List[Any]						=						0
												while i < len(_SCREAMING_SNAKE_CASE       ):
																	try:
																						UpperCAmelCase_   :				List[Any]						=						word.index(_SCREAMING_SNAKE_CASE    ,		_SCREAMING_SNAKE_CASE       )
																	except ValueError:
																						new_word.extend(word[i:]       )
																						break
																	else:
																						new_word.extend(word[i:j]       )
																						UpperCAmelCase_   :				Union[str, Any]						=						j

																	if word[i] == first and i < len(_SCREAMING_SNAKE_CASE       ) - 1 and word[i + 1] == second:
																						new_word.append(first + second       )
																						i += 2
																	else:
																						new_word.append(word[i]       )
																						i += 1
												UpperCAmelCase_   :				int						=						tuple(_SCREAMING_SNAKE_CASE       )
												UpperCAmelCase_   :				List[str]						=						new_word
												if len(_SCREAMING_SNAKE_CASE       ) == 1:
																	break
												else:
																	UpperCAmelCase_   :				Tuple						=						get_pairs(_SCREAMING_SNAKE_CASE       )
							UpperCAmelCase_   :				Tuple						=						''' '''.join(_SCREAMING_SNAKE_CASE       )
							if word == "\n  " + BPE_TOKEN_MERGES:
												UpperCAmelCase_   :				Tuple						=						'''\n''' + BPE_TOKEN_MERGES

							if word.endswith(_SCREAMING_SNAKE_CASE       ):
												UpperCAmelCase_   :				List[Any]						=						word.replace(_SCREAMING_SNAKE_CASE    ,		''       )

							UpperCAmelCase_   :				Any						=						word.replace(' '    ,		_SCREAMING_SNAKE_CASE       )
							UpperCAmelCase_   :				str						=						word
							return word



		def  __UpperCAmelCase      (							self    ,		_UpperCamelCase       )     ->							Optional[int]:





							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:
												UpperCAmelCase_   :				List[str]						=						text.lower()

							UpperCAmelCase_   :				List[Any]						=						text.split()

							UpperCAmelCase_   :				Union[str, Any]						=						[]
							for token in text:
												if token:
																	split_tokens.extend(list(self.bpe(_SCREAMING_SNAKE_CASE       ).split(' '       )       )       )

							return split_tokens



		def  __UpperCAmelCase      (							self    ,		_UpperCamelCase       )     ->							int:
							return self.encoder.get(_SCREAMING_SNAKE_CASE    ,		self.encoder.get(self.unk_token       )       )



		def  __UpperCAmelCase      (							self    ,		_UpperCamelCase       )     ->							str:
							UpperCAmelCase_   :				str						=						self.decoder.get(_SCREAMING_SNAKE_CASE    ,		self.unk_token       )
							return result



		def  __UpperCAmelCase      (							self    ,		_UpperCamelCase       )     ->							str:
							UpperCAmelCase_   :				List[Any]						=						''' '''.join(_SCREAMING_SNAKE_CASE       )

							# make sure @@ tokens are concatenated
							UpperCAmelCase_   :				List[Any]						=						''''''.join(string.split(_SCREAMING_SNAKE_CASE       )       )

							return string



		def  __UpperCAmelCase      (							self    ,		_UpperCamelCase    ,		_UpperCamelCase = None       )     ->							Tuple[str]:





							if not os.path.isdir(_SCREAMING_SNAKE_CASE       ):
												logger.error(f"Vocabulary path ({save_directory}) should be a directory"       )
												return
							UpperCAmelCase_   :				List[Any]						=						os.path.join(
							    _SCREAMING_SNAKE_CASE    ,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
							UpperCAmelCase_   :				Dict						=						os.path.join(
							    _SCREAMING_SNAKE_CASE    ,		(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']       )

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

							UpperCAmelCase_   :				Optional[Any]						=						0
							if self.bpe_ranks is None:
												return (vocab_file,)

							with open(_SCREAMING_SNAKE_CASE    ,		'w'    ,		encoding='utf-8'       ) as writer:
												for bpe_tokens, token_index in sorted(self.bpe_ranks.items()    ,		key=lambda _UpperCamelCase       : 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!'       )
																						UpperCAmelCase_   :				Optional[Any]						=						token_index
																	writer.write(' '.join(_SCREAMING_SNAKE_CASE       ) + '\n'       )
																	index += 1

							return (vocab_file, merges_file)














from collections import defaultdict
from math import ceil, sqrt




def 					lowercase__				(					__snake_case   :							int = 1_000_000					,	__snake_case   :							int = 10  ):


					'''simple docstring'''


					UpperCAmelCase_   :				defaultdict						=						defaultdict(__snake_case  )

					for outer_width in range(3					,	(t_limit // 4) + 2  ):
										if outer_width * outer_width > t_limit:
															UpperCAmelCase_   :				Union[str, Any]						=						max(
															    ceil(sqrt(outer_width * outer_width - t_limit  )  )					,	1  )
										else:
															UpperCAmelCase_   :				int						=						1

										hole_width_lower_bound += (outer_width - hole_width_lower_bound) % 2

										for hole_width in range(__snake_case					,	outer_width - 1					,	2  ):
															count[outer_width * outer_width - hole_width * hole_width] += 1

					return sum(1 for n in count.values() if 1 <= n <= 10  )


if __name__ == "__main__":
		print(F'{solution() = }')






