




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

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


lowercase_			:       Dict						       =				logging.get_logger(__name__)

lowercase_			:       List[str]						       =				{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

lowercase_			:       List[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'},
}

lowercase_			:       Optional[Any]						       =				{
    'microsoft/biogpt': 10_24,
}


def 							__SCREAMING_SNAKE_CASE						(    snake_case_		):

						'''simple docstring'''


						_UpperCAmelCase									=  set()
						_UpperCAmelCase									=  word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)		)
												_UpperCAmelCase									=  char
						return pairs






class 					__lowerCAmelCase				( UpperCAmelCase__				):
			snake_case_   :				str				  =  VOCAB_FILES_NAMES
			snake_case_   :				Optional[Any]				  =  PRETRAINED_VOCAB_FILES_MAP
			snake_case_   :				Any				  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			snake_case_   :				List[Any]				  =  ["input_ids", "attention_mask"]







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




									"""simple docstring"""


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

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

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







			@property
			def UpperCamelCase    ( self					:    Optional[Any]   ):




									"""simple docstring"""


									return len(self.encoder   )







			def UpperCamelCase    ( self					:    Union[str, Any]   ):




									"""simple docstring"""


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







			def UpperCamelCase    ( self					:    Any					,					snake_case__					:    Dict					,					snake_case__					:    List[Any]   ):




									"""simple docstring"""


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







			def UpperCamelCase    ( self					:    Any					,					snake_case__					:    int					,					snake_case__					:    Optional[int]   ):




									"""simple docstring"""


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







			def UpperCamelCase    ( self					:    Union[str, Any]					,					snake_case__					:    Optional[Any]   ):




									"""simple docstring"""


									_UpperCAmelCase									=  tuple(token[:-1]   ) + (token[-1] + "</w>",)
									if token in self.cache:
															return self.cache[token]
									_UpperCAmelCase									=  get_pairs(snake_case__   )

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

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

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







			def UpperCamelCase    ( self					:    Optional[int]					,					snake_case__					:    Union[str, Any]					,					snake_case__					:    List[Any]=False   ):




									"""simple docstring"""


									if bypass_tokenizer:
															_UpperCAmelCase									=  text.split()
									else:
															_UpperCAmelCase									=  self.moses_tokenize(snake_case__					,					self.lang   )

									_UpperCAmelCase									=  []
									for token in text:
															if token:
																					split_tokens.extend(list(self.bpe(snake_case__   ).split(" "   )   )   )

									return split_tokens







			def UpperCamelCase    ( self					:    str					,					snake_case__					:    Optional[int]   ):




									"""simple docstring"""


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







			def UpperCamelCase    ( self					:    List[Any]					,					snake_case__					:    Optional[int]   ):




									"""simple docstring"""


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







			def UpperCamelCase    ( self					:    Dict					,					snake_case__					:    int   ):




									"""simple docstring"""


									_UpperCAmelCase									=  [t.replace(" "					,					""   ).replace("</w>"					,					" "   ) for t in tokens]
									_UpperCAmelCase									=  "".join(snake_case__   ).split()
									# detokenize
									_UpperCAmelCase									=  self.moses_detokenize(snake_case__					,					self.lang   )
									return text







			def UpperCamelCase    ( self					:    Optional[Any]					,					snake_case__					:    List[int]					,					snake_case__					:    Optional[List[int]] = None   ):




									"""simple docstring"""


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







			def UpperCamelCase    ( self					:    List[str]					,					snake_case__					:    List[int]					,					snake_case__					:    Optional[List[int]] = None					,					snake_case__					:    bool = False   ):




									"""simple docstring"""


									if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=snake_case__					,					token_ids_a=snake_case__					,					already_has_special_tokens=snake_case__   )
									# no bos used in fairseq
									if token_ids_a is not None:
															return [1] + ([0] * len(snake_case__   )) + [1] + ([0] * len(snake_case__   ))
									return [1] + ([0] * len(snake_case__   ))







			def UpperCamelCase    ( self					:    List[str]					,					snake_case__					:    List[int]					,					snake_case__					:    Optional[List[int]] = None   ):




									"""simple docstring"""


									_UpperCAmelCase									=  [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]					,					snake_case__					:    str					,					snake_case__					:    Optional[str] = None   ):




									"""simple docstring"""


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

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

									_UpperCAmelCase									=  0
									with open(snake_case__					,					"w"					,					encoding="utf-8"   ) as writer:
															for bpe_tokens, token_index in sorted(self.bpe_ranks.items()					,					key=lambda snake_case__   : 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!"   )
																											_UpperCAmelCase									=  token_index
																					writer.write(" ".join(snake_case__   ) + "\n"   )
																					index += 1

									return vocab_file, merge_file







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




									"""simple docstring"""


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







			def __setstate__( self					:    Dict					,					snake_case__					:    str   ):




									"""simple docstring"""


									_UpperCAmelCase									=  d

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

									_UpperCAmelCase									=  sacremoses










def 							__SCREAMING_SNAKE_CASE						(    snake_case_ = 99_8001		):

						'''simple docstring'''


						for number in range(n - 1			,					9999			,					-1		):
												_UpperCAmelCase									=  str(snake_case_		)

												# checks whether 'str_number' is a palindrome.
												if str_number == str_number[::-1]:
																		_UpperCAmelCase									=  999

																		# if 'number' is a product of two 3-digit numbers
																		# then number is the answer otherwise fetch next number.
																		while divisor != 99:
																								if (number % divisor == 0) and (len(str(number // divisor		)		) == 3.0):
																														return number
																								divisor -= 1
						raise ValueError("That number is larger than our acceptable range."		)


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




