



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

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


__SCREAMING_SNAKE_CASE     =	logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     =	{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

__SCREAMING_SNAKE_CASE     =	{
    """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"""},
}

__SCREAMING_SNAKE_CASE     =	{
    """microsoft/biogpt""": 1024,
}




def 						UpperCAmelCase (    _lowerCamelCase     ):
			A				:       List[Any]														=    set()
			A				:       List[str]														=    word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)     )
						A				:       Optional[Any]														=    char
			return pairs






class 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''
						a__ =	VOCAB_FILES_NAMES
						a__ =	PRETRAINED_VOCAB_FILES_MAP
						a__ =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						a__ =	["input_ids", "attention_mask"]







						def __init__(						self   :      Tuple						,						__lowerCamelCase   :      List[Any]						,						__lowerCamelCase   :      List[Any]						,						__lowerCamelCase   :      Tuple="<unk>"						,						__lowerCamelCase   :      List[str]="<s>"						,						__lowerCamelCase   :      Optional[Any]="</s>"						,						__lowerCamelCase   :      List[str]="</s>"						,						__lowerCamelCase   :      Optional[Any]="<pad>"						,						**__lowerCamelCase   :      Dict						,						)   ->					List[Any]:
									super().__init__(
									    bos_token=__lowerCamelCase						,						eos_token=__lowerCamelCase						,						sep_token=__lowerCamelCase						,						unk_token=__lowerCamelCase						,						pad_token=__lowerCamelCase						,						**__lowerCamelCase						,						)

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

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







						@property
						def       SCREAMING_SNAKE_CASE__		(						self   :      Union[str, Any]			)   ->					int:
									return len(self.encoder			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      str			)   ->					Optional[int]:
									return dict(self.encoder						,						**self.added_tokens_encoder			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      List[Any]						,						__lowerCamelCase   :      List[str]						,						__lowerCamelCase   :      Tuple			)   ->					Dict:
									if lang not in self.cache_moses_tokenizer:
												A				:       List[Any]														=    self.sm.MosesTokenizer(lang=__lowerCamelCase			)
												A				:       int														=    moses_tokenizer
									return self.cache_moses_tokenizer[lang].tokenize(
									    __lowerCamelCase						,						aggressive_dash_splits=__lowerCamelCase						,						return_str=__lowerCamelCase						,						escape=__lowerCamelCase			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      Optional[Any]						,						__lowerCamelCase   :      int						,						__lowerCamelCase   :      List[Any]			)   ->					str:
									if lang not in self.cache_moses_detokenizer:
												A				:       List[str]														=    self.sm.MosesDetokenizer(lang=__lowerCamelCase			)
												A				:       str														=    moses_detokenizer
									return self.cache_moses_detokenizer[lang].detokenize(__lowerCamelCase			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      str						,						__lowerCamelCase   :      Dict			)   ->					Dict:
									A				:       List[Any]														=    tuple(token[:-1]			) + (token[-1] + "</w>",)
									if token in self.cache:
												return self.cache[token]
									A				:       Tuple														=    get_pairs(__lowerCamelCase			)

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

									while True:
												A				:       str														=    min(__lowerCamelCase						,						key=lambda __lowerCamelCase			: self.bpe_ranks.get(__lowerCamelCase						,						float("inf"			)			)			)
												if bigram not in self.bpe_ranks:
															break
												A							,			A				:       int														=    bigram
												A				:       Optional[Any]														=    []
												A				:       Tuple														=    0
												while i < len(__lowerCamelCase			):
															try:
																		A				:       Tuple														=    word.index(__lowerCamelCase						,						__lowerCamelCase			)
															except ValueError:
																		new_word.extend(word[i:]			)
																		break
															else:
																		new_word.extend(word[i:j]			)
																		A				:       List[str]														=    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
												A				:       Tuple														=    tuple(__lowerCamelCase			)
												A				:       Tuple														=    new_word
												if len(__lowerCamelCase			) == 1:
															break
												else:
															A				:       List[Any]														=    get_pairs(__lowerCamelCase			)
									A				:       List[str]														=    " ".join(__lowerCamelCase			)
									if word == "\n  </w>":
												A				:       Optional[int]														=    "\n</w>"
									A				:       List[Any]														=    word
									return word







						def       SCREAMING_SNAKE_CASE__		(						self   :      Tuple						,						__lowerCamelCase   :      Optional[int]						,						__lowerCamelCase   :      Union[str, Any]=False			)   ->					Tuple:
									if bypass_tokenizer:
												A				:       int														=    text.split()
									else:
												A				:       Union[str, Any]														=    self.moses_tokenize(__lowerCamelCase						,						self.lang			)

									A				:       List[Any]														=    []
									for token in text:
												if token:
															split_tokens.extend(list(self.bpe(__lowerCamelCase			).split(" "			)			)			)

									return split_tokens







						def       SCREAMING_SNAKE_CASE__		(						self   :      List[str]						,						__lowerCamelCase   :      int			)   ->					List[Any]:
									return self.encoder.get(__lowerCamelCase						,						self.encoder.get(self.unk_token			)			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      Dict						,						__lowerCamelCase   :      Optional[Any]			)   ->					List[Any]:
									return self.decoder.get(__lowerCamelCase						,						self.unk_token			)







						def       SCREAMING_SNAKE_CASE__		(						self   :      Any						,						__lowerCamelCase   :      List[str]			)   ->					List[str]:
									A				:       Any														=    [t.replace(" "						,						""			).replace("</w>"						,						" "			) for t in tokens]
									A				:       int														=    "".join(__lowerCamelCase			).split()
									# detokenize
									A				:       int														=    self.moses_detokenize(__lowerCamelCase						,						self.lang			)
									return text







						def       SCREAMING_SNAKE_CASE__		(						self   :      int						,						__lowerCamelCase   :      List[int]						,						__lowerCamelCase   :      Optional[List[int]] = None			)   ->					List[int]:
									if token_ids_a is None:
												return [self.sep_token_id] + token_ids_a
									A				:       Optional[int]														=    [self.sep_token_id]
									return sep + token_ids_a + sep + token_ids_a







						def       SCREAMING_SNAKE_CASE__		(						self   :      str						,						__lowerCamelCase   :      List[int]						,						__lowerCamelCase   :      Optional[List[int]] = None						,						__lowerCamelCase   :      bool = False			)   ->					List[int]:
									if already_has_special_tokens:
												return super().get_special_tokens_mask(
												    token_ids_a=__lowerCamelCase						,						token_ids_a=__lowerCamelCase						,						already_has_special_tokens=__lowerCamelCase			)
									# no bos used in fairseq
									if token_ids_a is not None:
												return [1] + ([0] * len(__lowerCamelCase			)) + [1] + ([0] * len(__lowerCamelCase			))
									return [1] + ([0] * len(__lowerCamelCase			))







						def       SCREAMING_SNAKE_CASE__		(						self   :      Optional[int]						,						__lowerCamelCase   :      List[int]						,						__lowerCamelCase   :      Optional[List[int]] = None			)   ->					List[int]:
									A				:       Optional[int]														=    [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       SCREAMING_SNAKE_CASE__		(						self   :      List[str]						,						__lowerCamelCase   :      str						,						__lowerCamelCase   :      Optional[str] = None			)   ->					Tuple[str]:
									if not os.path.isdir(__lowerCamelCase			):
												logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""			)
												return
									A				:       Dict														=    os.path.join(
									    __lowerCamelCase						,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]			)
									A				:       str														=    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"			)

									A				:       str														=    0
									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 {merge_file}: BPE merge indices are not consecutive."""
																		    " Please check that the tokenizer is not corrupted!"			)
																		A				:       List[Any]														=    token_index
															writer.write(" ".join(__lowerCamelCase			) + "\n"			)
															index += 1

									return vocab_file, merge_file







						def __getstate__(						self   :      Any			)   ->					Any:
									A				:       int														=    self.__dict__.copy()
									A				:       str														=    None
									return state







						def __setstate__(						self   :      Optional[int]						,						__lowerCamelCase   :      List[Any]			)   ->					int:
									A				:       List[Any]														=    d

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

									A				:       Tuple														=    sacremoses




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return "".join(chr(ord(_lowerCamelCase     ) + 32     ) if "A" <= char <= "Z" else char for char in word     )


if __name__ == "__main__":
							from doctest import testmod

							testmod()