



'''simple docstring'''






import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


UpperCamelCase__:     Optional[Any]										=    logging.get_logger(__name__)

UpperCamelCase__:     List[Any]										=    "▁"

UpperCamelCase__:     List[str]										=    {"vocab_file": "sentencepiece.bpe.model", "monolingual_vocab_file": "dict.txt"}

UpperCamelCase__:     List[str]										=    {
    "vocab_file": {
        "vinai/bartpho-syllable": "https://huggingface.co/vinai/bartpho-syllable/resolve/main/sentencepiece.bpe.model",
    },
    "monolingual_vocab_file": {
        "vinai/bartpho-syllable": "https://huggingface.co/vinai/bartpho-syllable/resolve/main/dict.txt",
    },
}

UpperCamelCase__:     List[str]										=    {"vinai/bartpho-syllable": 1024}

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	lowerCamelCase__    				= VOCAB_FILES_NAMES
	lowerCamelCase__    				= PRETRAINED_VOCAB_FILES_MAP
	lowerCamelCase__    				= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	lowerCamelCase__    				= ["""input_ids""", """attention_mask"""]







	def __init__(		self    :  Dict	,    __snake_case    :  Tuple	,    __snake_case    :  Optional[Any]	,    __snake_case    :  List[Any]="<s>"	,    __snake_case    :  str="</s>"	,    __snake_case    :  List[Any]="</s>"	,    __snake_case    :  Optional[Any]="<s>"	,    __snake_case    :  Any="<unk>"	,    __snake_case    :  str="<pad>"	,    __snake_case    :  Dict="<mask>"	,    __snake_case    :  Optional[Dict[str, Any]] = None	,    **__snake_case    :  Dict	,    )    ->	None:
								# Mask token behave like a normal word, i.e. include the space before it
								UpperCAmelCase				: Optional[Any]											=	AddedToken(__snake_case	,    lstrip=__snake_case	,    rstrip=__snake_case	) if isinstance(__snake_case	,    __snake_case	) else mask_token

								UpperCAmelCase				: Dict											=	{} if sp_model_kwargs is None else sp_model_kwargs

								super().__init__(
								    bos_token=__snake_case	,    eos_token=__snake_case	,    unk_token=__snake_case	,    sep_token=__snake_case	,    cls_token=__snake_case	,    pad_token=__snake_case	,    mask_token=__snake_case	,    sp_model_kwargs=self.sp_model_kwargs	,    **__snake_case	,    )

								UpperCAmelCase				: Dict											=	vocab_file
								UpperCAmelCase				: Union[str, Any]											=	monolingual_vocab_file
								UpperCAmelCase				: Dict											=	spm.SentencePieceProcessor(**self.sp_model_kwargs	)
								self.sp_model.Load(str(__snake_case	)	)

								# Load the reduced vocab

								# Keep order of special tokens for backward compatibility
								UpperCAmelCase				: List[str]											=	{}
								UpperCAmelCase				: Any											=	0
								for token in [bos_token, pad_token, eos_token, unk_token, sep_token, cls_token]:
															if str(__snake_case	) not in self.fairseq_tokens_to_ids:
																						UpperCAmelCase				: Any											=	cnt
																						cnt += 1
								with open(__snake_case	,    '''r'''	,    encoding='''utf-8'''	) as f:
															for line in f.readlines():
																						UpperCAmelCase				: Tuple											=	line.strip().split()[0]
																						UpperCAmelCase				: Any											=	len(self.fairseq_tokens_to_ids	)
								if str(__snake_case	) not in self.fairseq_tokens_to_ids:
															UpperCAmelCase				: Optional[int]											=	len(self.fairseq_tokens_to_ids	)

								UpperCAmelCase				: str											=	{v: k for k, v in self.fairseq_tokens_to_ids.items()}







	def __getstate__(		self    :  Dict	)    ->	str:
								UpperCAmelCase				: str											=	self.__dict__.copy()
								UpperCAmelCase				: Tuple											=	None
								UpperCAmelCase				: Tuple											=	self.sp_model.serialized_model_proto()
								return state







	def __setstate__(		self    :  Optional[int]	,    __snake_case    :  Any	)    ->	str:
								UpperCAmelCase				: Optional[Any]											=	d

								# for backward compatibility
								if not hasattr(self	,    '''sp_model_kwargs'''	):
															UpperCAmelCase				: str											=	{}

								UpperCAmelCase				: Optional[Any]											=	spm.SentencePieceProcessor(**self.sp_model_kwargs	)
								self.sp_model.LoadFromSerializedProto(self.sp_model_proto	)







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

								if token_ids_a is None:
															return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								UpperCAmelCase				: Optional[Any]											=	[self.cls_token_id]
								UpperCAmelCase				: int											=	[self.sep_token_id]
								return cls + token_ids_a + sep + sep + token_ids_a + sep







	def   A			(		self    :  Optional[Any]	,    __snake_case    :  List[int]	,    __snake_case    :  Optional[List[int]] = None	,    __snake_case    :  bool = False	)    ->	List[int]:

								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	)

								if token_ids_a is None:
															return [1] + ([0] * len(__snake_case	)) + [1]
								return [1] + ([0] * len(__snake_case	)) + [1, 1] + ([0] * len(__snake_case	)) + [1]







	def   A			(		self    :  Union[str, Any]	,    __snake_case    :  List[int]	,    __snake_case    :  Optional[List[int]] = None	)    ->	List[int]:
								UpperCAmelCase				: Optional[int]											=	[self.sep_token_id]
								UpperCAmelCase				: Any											=	[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   A			(		self    :  Optional[int]	)    ->	Dict:
								return len(self.fairseq_ids_to_tokens	)







	def   A			(		self    :  Any	)    ->	Union[str, Any]:
								UpperCAmelCase				: Dict											=	{self.convert_ids_to_tokens(__snake_case	): i for i in range(self.vocab_size	)}
								vocab.update(self.added_tokens_encoder	)
								return vocab







	def   A			(		self    :  int	,    __snake_case    :  str	)    ->	List[str]:
								return self.sp_model.encode(__snake_case	,    out_type=__snake_case	)







	def   A			(		self    :  List[str]	,    __snake_case    :  Optional[int]	)    ->	List[Any]:
								if token in self.fairseq_tokens_to_ids:
															return self.fairseq_tokens_to_ids[token]
								else:
															return self.unk_token_id







	def   A			(		self    :  Dict	,    __snake_case    :  List[Any]	)    ->	Optional[int]:
								return self.fairseq_ids_to_tokens[index]







	def   A			(		self    :  str	,    __snake_case    :  Optional[int]	)    ->	int:
								UpperCAmelCase				: Optional[Any]											=	''''''.join(__snake_case	).replace(__snake_case	,    ''' '''	).strip()
								return out_string







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

								if os.path.abspath(self.vocab_file	) != os.path.abspath(__snake_case	) and os.path.isfile(self.vocab_file	):
															copyfile(self.vocab_file	,    __snake_case	)
								elif not os.path.isfile(self.vocab_file	):
															with open(__snake_case	,    '''wb'''	) as fi:
																						UpperCAmelCase				: Union[str, Any]											=	self.sp_model.serialized_model_proto()
																						fi.write(__snake_case	)

								if os.path.abspath(self.monolingual_vocab_file	) != os.path.abspath(
								    __snake_case	) and os.path.isfile(self.monolingual_vocab_file	):
															copyfile(self.monolingual_vocab_file	,    __snake_case	)
								elif not os.path.isfile(self.monolingual_vocab_file	):
															with open(__snake_case	,    '''w'''	,    encoding='''utf-8'''	) as fp:
																						for token in self.fairseq_tokens_to_ids:
																													if token not in self.all_special_tokens:
																																				fp.write(F"""{str(__snake_case	)} \n"""	)

								return out_vocab_file, out_monolingual_vocab_file










'''simple docstring'''






import numpy as np

UpperCamelCase__:     Any										=    [
    ["a", "b", "c", "d", "e"],
    ["f", "g", "h", "i", "k"],
    ["l", "m", "n", "o", "p"],
    ["q", "r", "s", "t", "u"],
    ["v", "w", "x", "y", "z"],
]

class        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	def __init__(		self    :  Any	)    ->	None:
								UpperCAmelCase				: Optional[int]											=	np.array(__snake_case	)







	def   A			(		self    :  str	,    __snake_case    :  str	)    ->	np.ndarray:
								UpperCAmelCase							,	UpperCAmelCase				: Dict											=	np.where(letter == self.SQUARE	)
								UpperCAmelCase				: Dict											=	np.concatenate([indexa + 1, indexa + 1]	)
								return indexes







	def   A			(		self    :  Union[str, Any]	,    __snake_case    :  int	,    __snake_case    :  int	)    ->	str:
								UpperCAmelCase				: int											=	self.SQUARE[indexa - 1, indexa - 1]
								return letter







	def   A			(		self    :  List[Any]	,    __snake_case    :  str	)    ->	str:
								UpperCAmelCase				: Any											=	message.lower()
								UpperCAmelCase				: List[Any]											=	message.replace(''' '''	,    ''''''	)
								UpperCAmelCase				: List[Any]											=	message.replace('''j'''	,    '''i'''	)

								UpperCAmelCase				: Tuple											=	np.empty((2, len(__snake_case	))	)
								for letter_index in range(len(__snake_case	)	):
															UpperCAmelCase				: str											=	self.letter_to_numbers(message[letter_index]	)

															UpperCAmelCase				: Any											=	numbers[0]
															UpperCAmelCase				: Optional[Any]											=	numbers[1]

								UpperCAmelCase				: List[str]											=	first_step.reshape(2 * len(__snake_case	)	)
								UpperCAmelCase				: Union[str, Any]											=	''''''
								for numbers_index in range(len(__snake_case	)	):
															UpperCAmelCase				: Dict											=	int(second_step[numbers_index * 2]	)
															UpperCAmelCase				: Union[str, Any]											=	int(second_step[(numbers_index * 2) + 1]	)
															UpperCAmelCase				: Dict											=	self.numbers_to_letter(__snake_case	,    __snake_case	)
															UpperCAmelCase				: int											=	encoded_message + letter

								return encoded_message







	def   A			(		self    :  Optional[Any]	,    __snake_case    :  str	)    ->	str:
								UpperCAmelCase				: str											=	message.lower()
								message.replace(''' '''	,    ''''''	)
								UpperCAmelCase				: Optional[int]											=	np.empty(2 * len(__snake_case	)	)
								for letter_index in range(len(__snake_case	)	):
															UpperCAmelCase				: int											=	self.letter_to_numbers(message[letter_index]	)
															UpperCAmelCase				: Optional[Any]											=	numbers[0]
															UpperCAmelCase				: List[Any]											=	numbers[1]

								UpperCAmelCase				: Tuple											=	first_step.reshape((2, len(__snake_case	))	)
								UpperCAmelCase				: str											=	''''''
								for numbers_index in range(len(__snake_case	)	):
															UpperCAmelCase				: Tuple											=	int(second_step[0, numbers_index]	)
															UpperCAmelCase				: List[str]											=	int(second_step[1, numbers_index]	)
															UpperCAmelCase				: Union[str, Any]											=	self.numbers_to_letter(__snake_case	,    __snake_case	)
															UpperCAmelCase				: Union[str, Any]											=	decoded_message + letter

								return decoded_message





