
"""simple docstring"""






import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

from ...tokenization_utils import BatchEncoding, PreTrainedTokenizer
from ...utils import logging


_lowercase							=				logging.get_logger(__name__)

_lowercase							=				'''▁'''

_lowercase							=				{
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

_lowercase							=				{
    '''vocab_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json''',
    },
    '''spm_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_config_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json''',
    },
}

_lowercase							=				{
    '''facebook/m2m100_418M''': 1_024,
}

# fmt: off
_lowercase							=				{
    '''m2m100''': ['''af''', '''am''', '''ar''', '''ast''', '''az''', '''ba''', '''be''', '''bg''', '''bn''', '''br''', '''bs''', '''ca''', '''ceb''', '''cs''', '''cy''', '''da''', '''de''', '''el''', '''en''', '''es''', '''et''', '''fa''', '''ff''', '''fi''', '''fr''', '''fy''', '''ga''', '''gd''', '''gl''', '''gu''', '''ha''', '''he''', '''hi''', '''hr''', '''ht''', '''hu''', '''hy''', '''id''', '''ig''', '''ilo''', '''is''', '''it''', '''ja''', '''jv''', '''ka''', '''kk''', '''km''', '''kn''', '''ko''', '''lb''', '''lg''', '''ln''', '''lo''', '''lt''', '''lv''', '''mg''', '''mk''', '''ml''', '''mn''', '''mr''', '''ms''', '''my''', '''ne''', '''nl''', '''no''', '''ns''', '''oc''', '''or''', '''pa''', '''pl''', '''ps''', '''pt''', '''ro''', '''ru''', '''sd''', '''si''', '''sk''', '''sl''', '''so''', '''sq''', '''sr''', '''ss''', '''su''', '''sv''', '''sw''', '''ta''', '''th''', '''tl''', '''tn''', '''tr''', '''uk''', '''ur''', '''uz''', '''vi''', '''wo''', '''xh''', '''yi''', '''yo''', '''zh''', '''zu'''],
    '''wmt21''': ['''en''', '''ha''', '''is''', '''ja''', '''cs''', '''ru''', '''zh''', '''de''']
}

class 					__a     ( __a       ):



							'''simple docstring'''







							_lowerCamelCase					:			str          =   VOCAB_FILES_NAMES
							_lowerCamelCase					:			Union[str, Any]          =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowerCamelCase					:			Optional[Any]          =   PRETRAINED_VOCAB_FILES_MAP
							_lowerCamelCase					:			List[str]          =   ["""input_ids""", """attention_mask"""]

							_lowerCamelCase					:			List[int]          =   []
							_lowerCamelCase					:			List[int]          =   []
							def __init__(     self  ,    _lowerCamelCase  ,    _lowerCamelCase  ,    _lowerCamelCase=None  ,    _lowerCamelCase=None  ,    _lowerCamelCase="<s>"  ,    _lowerCamelCase="</s>"  ,    _lowerCamelCase="</s>"  ,    _lowerCamelCase="<pad>"  ,    _lowerCamelCase="<unk>"  ,    _lowerCamelCase="m2m100"  ,    _lowerCamelCase = None  ,    _lowerCamelCase=8  ,    **_lowerCamelCase  ,    )			->							None:




										'''simple docstring'''
										__lowercase       =       {} if sp_model_kwargs is None else sp_model_kwargs

										__lowercase       =       language_codes
										__lowercase       =       FAIRSEQ_LANGUAGE_CODES[language_codes]
										__lowercase       =       {lang_code: f'''__{lang_code}__''' for lang_code in fairseq_language_code}

										__lowercase       =       kwargs.get("additional_special_tokens"  ,    []       )
										kwargs["additional_special_tokens"] += [
										    self.get_lang_token(_lowerCamelCase       )
										    for lang_code in fairseq_language_code
										    if self.get_lang_token(_lowerCamelCase       ) not in kwargs["additional_special_tokens"]
										]

										super().__init__(
										    src_lang=_lowerCamelCase  ,    tgt_lang=_lowerCamelCase  ,    bos_token=_lowerCamelCase  ,    eos_token=_lowerCamelCase  ,    sep_token=_lowerCamelCase  ,    unk_token=_lowerCamelCase  ,    pad_token=_lowerCamelCase  ,    language_codes=_lowerCamelCase  ,    sp_model_kwargs=self.sp_model_kwargs  ,    num_madeup_words=_lowerCamelCase  ,    **_lowerCamelCase  ,    )

										__lowercase       =       vocab_file
										__lowercase       =       load_json(_lowerCamelCase       )
										__lowercase       =       {v: k for k, v in self.encoder.items()}
										__lowercase       =       spm_file
										__lowercase       =       load_spm(_lowerCamelCase  ,    self.sp_model_kwargs       )

										__lowercase       =       len(self.encoder       )

										__lowercase       =       {
										    self.get_lang_token(_lowerCamelCase       ): self.encoder_size + i for i, lang_code in enumerate(_lowerCamelCase       )
										}
										__lowercase       =       {lang_code: self.encoder_size + i for i, lang_code in enumerate(_lowerCamelCase       )}
										__lowercase       =       {v: k for k, v in self.lang_token_to_id.items()}

										__lowercase       =       src_lang if src_lang is not None else "en"
										__lowercase       =       tgt_lang
										__lowercase       =       self.get_lang_id(self._src_lang       )
										self.set_src_lang_special_tokens(self._src_lang       )

										__lowercase       =       num_madeup_words
							@property
							def   SCREAMING_SNAKE_CASE						(     self       )			->							int:




										'''simple docstring'''
										return len(self.encoder       ) + len(self.lang_token_to_id       )
							@property
							def   SCREAMING_SNAKE_CASE						(     self       )			->							str:




										'''simple docstring'''
										return self._src_lang
							@src_lang.setter
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							None:




										'''simple docstring'''
										__lowercase       =       new_src_lang
										self.set_src_lang_special_tokens(self._src_lang       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							List[str]:




										'''simple docstring'''
										return self.sp_model.encode(_lowerCamelCase  ,    out_type=_lowerCamelCase       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Union[str, Any]:




										'''simple docstring'''
										if token in self.lang_token_to_id:
													return self.lang_token_to_id[token]
										return self.encoder.get(_lowerCamelCase  ,    self.encoder[self.unk_token]       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							str:




										'''simple docstring'''
										if index in self.id_to_lang_token:
													return self.id_to_lang_token[index]
										return self.decoder.get(_lowerCamelCase  ,    self.unk_token       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							int:




										'''simple docstring'''
										__lowercase       =       []
										__lowercase       =       ""
										for token in tokens:
													# make sure that special tokens are not decoded using sentencepiece model
													if token in self.all_special_tokens:
																out_string += self.sp_model.decode(_lowerCamelCase       ) + token
																__lowercase       =       []
													else:
																current_sub_tokens.append(_lowerCamelCase       )
										out_string += self.sp_model.decode(_lowerCamelCase       )
										return out_string.strip()
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None  ,    _lowerCamelCase = False       )			->							List[int]:




										'''simple docstring'''

										if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=_lowerCamelCase  ,    token_ids_a=_lowerCamelCase  ,    already_has_special_tokens=_lowerCamelCase       )

										__lowercase       =       [1] * len(self.prefix_tokens       )
										__lowercase       =       [1] * len(self.suffix_tokens       )
										if token_ids_a is None:
													return prefix_ones + ([0] * len(_lowerCamelCase       )) + suffix_ones
										return prefix_ones + ([0] * len(_lowerCamelCase       )) + ([0] * len(_lowerCamelCase       )) + suffix_ones
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None       )			->							List[int]:




										'''simple docstring'''
										if token_ids_a is None:
													return self.prefix_tokens + token_ids_a + self.suffix_tokens
										# We don't expect to process pairs, but leave the pair logic for API consistency
										return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Dict:




										'''simple docstring'''
										__lowercase       =       {self.convert_ids_to_tokens(_lowerCamelCase       ): i for i in range(self.vocab_size       )}
										vocab.update(self.added_tokens_encoder       )
										return vocab
							def __getstate__(     self       )			->							Dict:




										'''simple docstring'''
										__lowercase       =       self.__dict__.copy()
										__lowercase       =       None
										return state
							def __setstate__(     self  ,    _lowerCamelCase       )			->							None:




										'''simple docstring'''
										__lowercase       =       d

										# for backward compatibility
										if not hasattr(self  ,    "sp_model_kwargs"       ):
													__lowercase       =       {}

										__lowercase       =       load_spm(self.spm_file  ,    self.sp_model_kwargs       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None       )			->							Tuple[str]:




										'''simple docstring'''
										__lowercase       =       Path(_lowerCamelCase       )
										if not save_dir.is_dir():
													raise OSError(f'''{save_directory} should be a directory'''       )
										__lowercase       =       save_dir / (
										    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["vocab_file"]
										)
										__lowercase       =       save_dir / (
										    (filename_prefix + "-" if filename_prefix else "") + self.vocab_files_names["spm_file"]
										)

										save_json(self.encoder  ,    _lowerCamelCase       )

										if os.path.abspath(self.spm_file       ) != os.path.abspath(_lowerCamelCase       ) and os.path.isfile(self.spm_file       ):
													copyfile(self.spm_file  ,    _lowerCamelCase       )
										elif not os.path.isfile(self.spm_file       ):
													with open(_lowerCamelCase  ,    "wb"       ) as fi:
																__lowercase       =       self.sp_model.serialized_model_proto()
																fi.write(_lowerCamelCase       )

										return (str(_lowerCamelCase       ), str(_lowerCamelCase       ))
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = "en"  ,    _lowerCamelCase = None  ,    _lowerCamelCase = "ro"  ,    **_lowerCamelCase  ,    )			->							BatchEncoding:




										'''simple docstring'''
										__lowercase       =       src_lang
										__lowercase       =       tgt_lang
										self.set_src_lang_special_tokens(self.src_lang       )
										return super().prepare_seqaseq_batch(_lowerCamelCase  ,    _lowerCamelCase  ,    **_lowerCamelCase       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase  ,    _lowerCamelCase  ,    **_lowerCamelCase       )			->							Any:




										'''simple docstring'''
										if src_lang is None or tgt_lang is None:
													raise ValueError("Translation requires a `src_lang` and a `tgt_lang` for this model"       )
										__lowercase       =       src_lang
										__lowercase       =       self(_lowerCamelCase  ,    add_special_tokens=_lowerCamelCase  ,    **_lowerCamelCase       )
										__lowercase       =       self.get_lang_id(_lowerCamelCase       )
										__lowercase       =       tgt_lang_id
										return inputs
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Union[str, Any]:




										'''simple docstring'''
										self.set_src_lang_special_tokens(self.src_lang       )
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Dict:




										'''simple docstring'''
										self.set_tgt_lang_special_tokens(self.tgt_lang       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							None:




										'''simple docstring'''
										__lowercase       =       self.get_lang_token(_lowerCamelCase       )
										__lowercase       =       self.lang_token_to_id[lang_token]
										__lowercase       =       [self.cur_lang_id]
										__lowercase       =       [self.eos_token_id]
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							None:




										'''simple docstring'''
										__lowercase       =       self.get_lang_token(_lowerCamelCase       )
										__lowercase       =       self.lang_token_to_id[lang_token]
										__lowercase       =       [self.cur_lang_id]
										__lowercase       =       [self.eos_token_id]
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							str:




										'''simple docstring'''
										return self.lang_code_to_token[lang]





							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							int:




										'''simple docstring'''
										__lowercase       =       self.get_lang_token(_lowerCamelCase       )
										return self.lang_token_to_id[lang_token]





def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->sentencepiece.SentencePieceProcessor:
			__lowercase       =       sentencepiece.SentencePieceProcessor(**__magic_name__      )
			spm.Load(str(__magic_name__      )      )
			return spm



def      lowerCAmelCase__			(		__magic_name__      )						->Union[Dict, List]:
			with open(__magic_name__			,   "r"      ) as f:
						return json.load(__magic_name__      )







def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->None:
			with open(__magic_name__			,   "w"      ) as f:
						json.dump(__magic_name__			,   __magic_name__			,   indent=2      )







"""simple docstring"""






import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

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


_lowercase							=				logging.get_logger(__name__)

_lowercase							=				{
    '''vocab_file''': '''vocab.txt''',
    '''merges_file''': '''bpe.codes''',
}

_lowercase							=				{
    '''vocab_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt''',
    },
    '''merges_file''': {
        '''vinai/phobert-base''': '''https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes''',
        '''vinai/phobert-large''': '''https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes''',
    },
}

_lowercase							=				{
    '''vinai/phobert-base''': 256,
    '''vinai/phobert-large''': 256,
}



def      lowerCAmelCase__			(		__magic_name__      )						->Optional[int]:
			__lowercase       =       set()
			__lowercase       =       word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)      )
						__lowercase       =       char

			__lowercase       =       set(__magic_name__      )
			return pairs







class 					__a     ( __a       ):



							'''simple docstring'''







							_lowerCamelCase					:			int          =   VOCAB_FILES_NAMES
							_lowerCamelCase					:			List[str]          =   PRETRAINED_VOCAB_FILES_MAP
							_lowerCamelCase					:			Optional[Any]          =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							def __init__(     self  ,    _lowerCamelCase  ,    _lowerCamelCase  ,    _lowerCamelCase="<s>"  ,    _lowerCamelCase="</s>"  ,    _lowerCamelCase="</s>"  ,    _lowerCamelCase="<s>"  ,    _lowerCamelCase="<unk>"  ,    _lowerCamelCase="<pad>"  ,    _lowerCamelCase="<mask>"  ,    **_lowerCamelCase  ,    )			->							Tuple:




										'''simple docstring'''
										super().__init__(
										    bos_token=_lowerCamelCase  ,    eos_token=_lowerCamelCase  ,    unk_token=_lowerCamelCase  ,    sep_token=_lowerCamelCase  ,    cls_token=_lowerCamelCase  ,    pad_token=_lowerCamelCase  ,    mask_token=_lowerCamelCase  ,    **_lowerCamelCase  ,    )

										__lowercase       =       vocab_file
										__lowercase       =       merges_file

										__lowercase       =       {}
										__lowercase       =       0
										__lowercase       =       1
										__lowercase       =       2
										__lowercase       =       3

										self.add_from_file(_lowerCamelCase       )

										__lowercase       =       {v: k for k, v in self.encoder.items()}

										with open(_lowerCamelCase  ,    encoding="utf-8"       ) as merges_handle:
													__lowercase       =       merges_handle.read().split("\n"       )[:-1]
										__lowercase       =       [tuple(merge.split()[:-1]       ) for merge in merges]
										__lowercase       =       dict(zip(_lowerCamelCase  ,    range(len(_lowerCamelCase       )       )       )       )
										__lowercase       =       {}
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None       )			->							List[int]:




										'''simple docstring'''

										if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
										__lowercase       =       [self.cls_token_id]
										__lowercase       =       [self.sep_token_id]
										return cls + token_ids_a + sep + sep + token_ids_a + sep
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None  ,    _lowerCamelCase = False       )			->							List[int]:




										'''simple docstring'''

										if already_has_special_tokens:
													return super().get_special_tokens_mask(
													    token_ids_a=_lowerCamelCase  ,    token_ids_a=_lowerCamelCase  ,    already_has_special_tokens=_lowerCamelCase       )

										if token_ids_a is None:
													return [1] + ([0] * len(_lowerCamelCase       )) + [1]
										return [1] + ([0] * len(_lowerCamelCase       )) + [1, 1] + ([0] * len(_lowerCamelCase       )) + [1]
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None       )			->							List[int]:




										'''simple docstring'''
										__lowercase       =       [self.sep_token_id]
										__lowercase       =       [self.cls_token_id]

										if token_ids_a is None:
													return len(cls + token_ids_a + sep       ) * [0]
										return len(cls + token_ids_a + sep + sep + token_ids_a + sep       ) * [0]
							@property
							def   SCREAMING_SNAKE_CASE						(     self       )			->							Optional[Any]:




										'''simple docstring'''
										return len(self.encoder       )
							def   SCREAMING_SNAKE_CASE						(     self       )			->							str:




										'''simple docstring'''
										return dict(self.encoder  ,    **self.added_tokens_encoder       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							List[Any]:




										'''simple docstring'''
										if token in self.cache:
													return self.cache[token]
										__lowercase       =       tuple(_lowerCamelCase       )
										__lowercase       =       tuple(list(word[:-1]       ) + [word[-1] + "</w>"]       )
										__lowercase       =       get_pairs(_lowerCamelCase       )

										if not pairs:
													return token

										while True:
													__lowercase       =       min(_lowerCamelCase  ,    key=lambda _lowerCamelCase       : self.bpe_ranks.get(_lowerCamelCase  ,    float("inf"       )       )       )
													if bigram not in self.bpe_ranks:
																break
													__lowercase   ,					__lowercase       =       bigram
													__lowercase       =       []
													__lowercase       =       0
													while i < len(_lowerCamelCase       ):
																try:
																			__lowercase       =       word.index(_lowerCamelCase  ,    _lowerCamelCase       )
																except ValueError:
																			new_word.extend(word[i:]       )
																			break
																else:
																			new_word.extend(word[i:j]       )
																			__lowercase       =       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
													__lowercase       =       tuple(_lowerCamelCase       )
													__lowercase       =       new_word
													if len(_lowerCamelCase       ) == 1:
																break
													else:
																__lowercase       =       get_pairs(_lowerCamelCase       )
										__lowercase       =       "@@ ".join(_lowerCamelCase       )
										__lowercase       =       word[:-4]
										__lowercase       =       word
										return word
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							str:




										'''simple docstring'''
										__lowercase       =       []

										__lowercase       =       re.findall(R"\S+\n?"  ,    _lowerCamelCase       )

										for token in words:
													split_tokens.extend(list(self.bpe(_lowerCamelCase       ).split(" "       )       )       )
										return split_tokens
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Optional[Any]:




										'''simple docstring'''
										return self.encoder.get(_lowerCamelCase  ,    self.encoder.get(self.unk_token       )       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Optional[int]:




										'''simple docstring'''
										return self.decoder.get(_lowerCamelCase  ,    self.unk_token       )
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Tuple:




										'''simple docstring'''
										__lowercase       =       " ".join(_lowerCamelCase       ).replace("@@ "  ,    ""       ).strip()
										return out_string
							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase  ,    _lowerCamelCase = None       )			->							Tuple[str]:




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

										if os.path.abspath(self.vocab_file       ) != os.path.abspath(_lowerCamelCase       ):
													copyfile(self.vocab_file  ,    _lowerCamelCase       )

										if os.path.abspath(self.merges_file       ) != os.path.abspath(_lowerCamelCase       ):
													copyfile(self.merges_file  ,    _lowerCamelCase       )

										return out_vocab_file, out_merge_file





							def   SCREAMING_SNAKE_CASE						(     self  ,    _lowerCamelCase       )			->							Dict:




										'''simple docstring'''
										if isinstance(_lowerCamelCase  ,    _lowerCamelCase       ):
													try:
																with open(_lowerCamelCase  ,    "r"  ,    encoding="utf-8"       ) as fd:
																			self.add_from_file(_lowerCamelCase       )
													except FileNotFoundError as fnfe:
																raise fnfe
													except UnicodeError:
																raise Exception(f'''Incorrect encoding detected in {f}, please rebuild the dataset'''       )
													return

										__lowercase       =       f.readlines()
										for lineTmp in lines:
													__lowercase       =       lineTmp.strip()
													__lowercase       =       line.rfind(" "       )
													if idx == -1:
																raise ValueError("Incorrect dictionary format, expected '<token> <cnt>'"       )
													__lowercase       =       line[:idx]
													__lowercase       =       len(self.encoder       )





