


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

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


snake_case_  :     Union[str, Any]							  =							logging.get_logger(__name__)

snake_case_  :     Dict							  =							{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

snake_case_  :     Any							  =							{
    '''vocab_file''': {
        '''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json''',
    },
    '''merges_file''': {'''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt'''},
}

snake_case_  :     Optional[int]							  =							{
    '''microsoft/biogpt''': 10_24,
}







def   lowerCamelCase(				a__):
				_SCREAMING_SNAKE_CASE     					=set()
				_SCREAMING_SNAKE_CASE     					=word[0]
				for char in word[1:]:
								pairs.add((prev_char, char))
								_SCREAMING_SNAKE_CASE     					=char
				return pairs


class   A__							(						UpperCamelCase__					):
						UpperCAmelCase     =  VOCAB_FILES_NAMES
						UpperCAmelCase     =  PRETRAINED_VOCAB_FILES_MAP
						UpperCAmelCase     =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCAmelCase     =  ["input_ids", "attention_mask"]




						def __init__(    self   : Optional[Any]			,      _a   : Tuple			,      _a   : Dict			,      _a   : int="<unk>"			,      _a   : Union[str, Any]="<s>"			,      _a   : Union[str, Any]="</s>"			,      _a   : Any="</s>"			,      _a   : int="<pad>"			,      **_a   : List[Any]			,      )							->       Union[str, Any]:


										"""simple docstring"""





										super().__init__(
										    bos_token=_a			,      eos_token=_a			,      sep_token=_a			,      unk_token=_a			,      pad_token=_a			,      **_a			,      )

										try:
														import sacremoses
										except ImportError:
														raise ImportError(
														    '''You need to install sacremoses to use BioGptTokenizer. '''
														    '''See https://pypi.org/project/sacremoses/ for installation.'''					)

										_SCREAMING_SNAKE_CASE     					='''en'''
										_SCREAMING_SNAKE_CASE     					=sacremoses
										# cache of sm.MosesTokenizer instance
										_SCREAMING_SNAKE_CASE     					={}
										_SCREAMING_SNAKE_CASE     					={}
										with open(_a			,      encoding='''utf-8'''					) as vocab_handle:
														_SCREAMING_SNAKE_CASE     					=json.load(_a					)
										_SCREAMING_SNAKE_CASE     					={v: k for k, v in self.encoder.items()}
										with open(_a			,      encoding='''utf-8'''					) as merges_handle:
														_SCREAMING_SNAKE_CASE     					=merges_handle.read().split('''\n'''					)[:-1]
										_SCREAMING_SNAKE_CASE     					=[tuple(merge.split()[:2]					) for merge in merges]
										_SCREAMING_SNAKE_CASE     					=dict(zip(_a			,      range(len(_a					)					)					)					)
										_SCREAMING_SNAKE_CASE     					={}




						@property
						def 							__UpperCamelCase			(    self   : Any					)							->       Any:


										"""simple docstring"""





										return len(self.encoder					)




						def 							__UpperCamelCase			(    self   : Union[str, Any]					)							->       List[Any]:


										"""simple docstring"""





										return dict(self.encoder			,      **self.added_tokens_encoder					)




						def 							__UpperCamelCase			(    self   : Optional[Any]			,      _a   : Union[str, Any]			,      _a   : Any					)							->       int:


										"""simple docstring"""





										if lang not in self.cache_moses_tokenizer:
														_SCREAMING_SNAKE_CASE     					=self.sm.MosesTokenizer(lang=_a					)
														_SCREAMING_SNAKE_CASE     					=moses_tokenizer
										return self.cache_moses_tokenizer[lang].tokenize(
										    _a			,      aggressive_dash_splits=_a			,      return_str=_a			,      escape=_a					)




						def 							__UpperCamelCase			(    self   : Optional[int]			,      _a   : Tuple			,      _a   : Tuple					)							->       Dict:


										"""simple docstring"""





										if lang not in self.cache_moses_detokenizer:
														_SCREAMING_SNAKE_CASE     					=self.sm.MosesDetokenizer(lang=_a					)
														_SCREAMING_SNAKE_CASE     					=moses_detokenizer
										return self.cache_moses_detokenizer[lang].detokenize(_a					)




						def 							__UpperCamelCase			(    self   : Any			,      _a   : List[str]					)							->       Tuple:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE     					=tuple(token[:-1]					) + (token[-1] + '''</w>''',)
										if token in self.cache:
														return self.cache[token]
										_SCREAMING_SNAKE_CASE     					=get_pairs(_a					)

										if not pairs:
														return token + "</w>"

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

																		if word[i] == first and i < len(_a					) - 1 and word[i + 1] == second:
																						new_word.append(first + second					)
																						i += 2
																		else:
																						new_word.append(word[i]					)
																						i += 1
														_SCREAMING_SNAKE_CASE     					=tuple(_a					)
														_SCREAMING_SNAKE_CASE     					=new_word
														if len(_a					) == 1:
																		break
														else:
																		_SCREAMING_SNAKE_CASE     					=get_pairs(_a					)
										_SCREAMING_SNAKE_CASE     					=''' '''.join(_a					)
										if word == "\n  </w>":
														_SCREAMING_SNAKE_CASE     					='''\n</w>'''
										_SCREAMING_SNAKE_CASE     					=word
										return word




						def 							__UpperCamelCase			(    self   : str			,      _a   : int			,      _a   : Union[str, Any]=False					)							->       Union[str, Any]:


										"""simple docstring"""





										if bypass_tokenizer:
														_SCREAMING_SNAKE_CASE     					=text.split()
										else:
														_SCREAMING_SNAKE_CASE     					=self.moses_tokenize(_a			,      self.lang					)

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

										return split_tokens




						def 							__UpperCamelCase			(    self   : Optional[Any]			,      _a   : Optional[int]					)							->       str:


										"""simple docstring"""





										return self.encoder.get(_a			,      self.encoder.get(self.unk_token					)					)




						def 							__UpperCamelCase			(    self   : Optional[int]			,      _a   : Any					)							->       Optional[Any]:


										"""simple docstring"""





										return self.decoder.get(_a			,      self.unk_token					)




						def 							__UpperCamelCase			(    self   : List[str]			,      _a   : List[str]					)							->       str:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE     					=[t.replace(''' '''			,      ''''''					).replace('''</w>'''			,      ''' '''					) for t in tokens]
										_SCREAMING_SNAKE_CASE     					=''''''.join(_a					).split()
										# detokenize
										_SCREAMING_SNAKE_CASE     					=self.moses_detokenize(_a			,      self.lang					)
										return text




						def 							__UpperCamelCase			(    self   : Optional[Any]			,      _a   : List[int]			,      _a   : Optional[List[int]] = None					)							->       List[int]:


										"""simple docstring"""





										if token_ids_a is None:
														return [self.sep_token_id] + token_ids_a
										_SCREAMING_SNAKE_CASE     					=[self.sep_token_id]
										return sep + token_ids_a + sep + token_ids_a




						def 							__UpperCamelCase			(    self   : Tuple			,      _a   : List[int]			,      _a   : Optional[List[int]] = None			,      _a   : bool = 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					)
										# no bos used in fairseq
										if token_ids_a is not None:
														return [1] + ([0] * len(_a					)) + [1] + ([0] * len(_a					))
										return [1] + ([0] * len(_a					))




						def 							__UpperCamelCase			(    self   : List[str]			,      _a   : List[int]			,      _a   : Optional[List[int]] = None					)							->       List[int]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE     					=[self.sep_token_id]

										# no bos used in fairseq
										if token_ids_a is None:
														return len(token_ids_a + sep					) * [0]
										return len(token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1]




						def 							__UpperCamelCase			(    self   : Optional[Any]			,      _a   : str			,      _a   : Optional[str] = None					)							->       Tuple[str]:


										"""simple docstring"""





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

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

										_SCREAMING_SNAKE_CASE     					=0
										with open(_a			,      '''w'''			,      encoding='''utf-8'''					) as writer:
														for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,      key=lambda _a					: kv[1]					):
																		if index != token_index:
																						logger.warning(
																						    f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
																						    ''' Please check that the tokenizer is not corrupted!'''					)
																						_SCREAMING_SNAKE_CASE     					=token_index
																		writer.write(''' '''.join(_a					) + '''\n'''					)
																		index += 1

										return vocab_file, merge_file




						def __getstate__(    self   : str					)							->       Union[str, Any]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE     					=self.__dict__.copy()
										_SCREAMING_SNAKE_CASE     					=None
										return state




						def __setstate__(    self   : Dict			,      _a   : int					)							->       List[str]:


										"""simple docstring"""





										_SCREAMING_SNAKE_CASE     					=d

										try:
														import sacremoses
										except ImportError:
														raise ImportError(
														    '''You need to install sacremoses to use XLMTokenizer. '''
														    '''See https://pypi.org/project/sacremoses/ for installation.'''					)

										_SCREAMING_SNAKE_CASE     					=sacremoses



import math







def   lowerCamelCase(				a__):
				_SCREAMING_SNAKE_CASE     					=math.log(2		,10) * number
				_SCREAMING_SNAKE_CASE     					=round((log_number - int(a__))		,15)

				return difference







def   lowerCamelCase(				a__ = 67_8910):
				_SCREAMING_SNAKE_CASE     					=90
				_SCREAMING_SNAKE_CASE     					=0

				_SCREAMING_SNAKE_CASE     					=math.log(1.23		,10)
				_SCREAMING_SNAKE_CASE     					=math.log(1.24		,10)
				_SCREAMING_SNAKE_CASE     					=0

				while position < number:
								_SCREAMING_SNAKE_CASE     					=log_difference(a__)

								if difference >= upper_limit:
												power_iterator += 93

								elif difference < lower_limit:
												power_iterator += 196

								else:
												_SCREAMING_SNAKE_CASE     					=power_iterator
												power_iterator += 196
												position += 1

				return previous_power


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							print(f"""{solution() = }""")