






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

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


__snake_case     :     Tuple       =  logging.get_logger(__name__)

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

__snake_case     :     Dict       =  {
    "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     :     Union[str, Any]       =  {
    "microsoft/biogpt": 10_24,
}







def 						_UpperCamelCase (     UpperCamelCase_							:       Union[str, Any]		)	-> List[Any]:

						"""simple docstring"""



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


class      __SCREAMING_SNAKE_CASE       ( _a):
						_SCREAMING_SNAKE_CASE						:							List[str]				=       VOCAB_FILES_NAMES
						_SCREAMING_SNAKE_CASE						:							Dict				=       PRETRAINED_VOCAB_FILES_MAP
						_SCREAMING_SNAKE_CASE						:							Optional[Any]				=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_SCREAMING_SNAKE_CASE						:							str				=       ["input_ids", "attention_mask"]






						def __init__(						self  ,    _UpperCamelCase  ,    _UpperCamelCase  ,    _UpperCamelCase="<unk>"  ,    _UpperCamelCase="<s>"  ,    _UpperCamelCase="</s>"  ,    _UpperCamelCase="</s>"  ,    _UpperCamelCase="<pad>"  ,    **_UpperCamelCase  ,    ):






												"""simple docstring"""
												super().__init__(
												    bos_token=_UpperCamelCase  ,    eos_token=_UpperCamelCase  ,    sep_token=_UpperCamelCase  ,    unk_token=_UpperCamelCase  ,    pad_token=_UpperCamelCase  ,    **_UpperCamelCase  ,    )

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

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






						@property
						def    UpperCamelCase__   (						self ):






												"""simple docstring"""
												return len(self.encoder )






						def    UpperCamelCase__   (						self ):






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






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase  ,    _UpperCamelCase ):






												"""simple docstring"""
												if lang not in self.cache_moses_tokenizer:
																		lowerCAmelCase__         =    self.sm.MosesTokenizer(lang=_UpperCamelCase )
																		lowerCAmelCase__         =    moses_tokenizer
												return self.cache_moses_tokenizer[lang].tokenize(
												    _UpperCamelCase  ,    aggressive_dash_splits=_UpperCamelCase  ,    return_str=_UpperCamelCase  ,    escape=_UpperCamelCase )






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase  ,    _UpperCamelCase ):






												"""simple docstring"""
												if lang not in self.cache_moses_detokenizer:
																		lowerCAmelCase__         =    self.sm.MosesDetokenizer(lang=_UpperCamelCase )
																		lowerCAmelCase__         =    moses_detokenizer
												return self.cache_moses_detokenizer[lang].detokenize(_UpperCamelCase )






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase ):






												"""simple docstring"""
												lowerCAmelCase__         =    tuple(token[:-1] ) + (token[-1] + '''</w>''',)
												if token in self.cache:
																		return self.cache[token]
												lowerCAmelCase__         =    get_pairs(_UpperCamelCase )

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

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

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






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase  ,    _UpperCamelCase=False ):






												"""simple docstring"""
												if bypass_tokenizer:
																		lowerCAmelCase__         =    text.split()
												else:
																		lowerCAmelCase__         =    self.moses_tokenize(_UpperCamelCase  ,    self.lang )

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

												return split_tokens






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase ):






												"""simple docstring"""
												return self.encoder.get(_UpperCamelCase  ,    self.encoder.get(self.unk_token ) )






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase ):






												"""simple docstring"""
												return self.decoder.get(_UpperCamelCase  ,    self.unk_token )






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase ):






												"""simple docstring"""
												lowerCAmelCase__         =    [t.replace(' '  ,    '' ).replace('</w>'  ,    ' ' ) for t in tokens]
												lowerCAmelCase__         =    ''''''.join(_UpperCamelCase ).split()
												# detokenize
												lowerCAmelCase__         =    self.moses_detokenize(_UpperCamelCase  ,    self.lang )
												return text






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase  ,    _UpperCamelCase = None ):






												"""simple docstring"""
												if token_ids_a is None:
																		return [self.sep_token_id] + token_ids_a
												lowerCAmelCase__         =    [self.sep_token_id]
												return sep + token_ids_a + sep + token_ids_a






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase  ,    _UpperCamelCase = None  ,    _UpperCamelCase = False ):






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






						def    UpperCamelCase__   (						self  ,    _UpperCamelCase  ,    _UpperCamelCase = None ):






												"""simple docstring"""
												lowerCAmelCase__         =    [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  ,    _UpperCamelCase  ,    _UpperCamelCase = None ):






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

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

												lowerCAmelCase__         =    0
												with open(_UpperCamelCase  ,    '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 {merge_file}: BPE merge indices are not consecutive."
																														    ' Please check that the tokenizer is not corrupted!' )
																														lowerCAmelCase__         =    token_index
																								writer.write(' '.join(_UpperCamelCase ) + '\n' )
																								index += 1

												return vocab_file, merge_file






						def __getstate__(						self ):






												"""simple docstring"""
												lowerCAmelCase__         =    self.__dict__.copy()
												lowerCAmelCase__         =    None
												return state







						def __setstate__(						self  ,    _UpperCamelCase ):






												"""simple docstring"""
												lowerCAmelCase__         =    d

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

												lowerCAmelCase__         =    sacremoses









'''simple docstring'''



def       _a      (		_lowercase   :      str    ):





     '''simple docstring'''






     __UpperCAmelCase      :					Union[str, Any]    				=     5381
     for x in s:
          __UpperCAmelCase      :					Union[str, Any]    				=     ((hash_value << 5) + hash_value) + ord(_lowercase    )
     return hash_value & 0XFFFFFFFF