


'''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


__snake_case							   =  logging.get_logger(__name__)

__snake_case							   =  '''▁'''

__snake_case							   =  {'''vocab_file''': '''sentencepiece.bpe.model''', '''monolingual_vocab_file''': '''dict.txt'''}

__snake_case							   =  {
    '''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''',
    },
}

__snake_case							   =  {'''vinai/bartpho-syllable''': 1024}
class      lowercase			(							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					,     UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_="<s>"					,     UpperCamelCase_="</s>"					,     UpperCamelCase_="</s>"					,     UpperCamelCase_="<s>"					,     UpperCamelCase_="<unk>"					,     UpperCamelCase_="<pad>"					,     UpperCamelCase_="<mask>"					,     UpperCamelCase_ = None					,     **UpperCamelCase_					,     ):

							'''simple docstring'''


							UpperCamelCase__     :Optional[int]							      =				AddedToken(UpperCamelCase_					,     lstrip=UpperCamelCase_					,     rstrip=UpperCamelCase_							) if isinstance(UpperCamelCase_					,     UpperCamelCase_							) else mask_token

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

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

							UpperCamelCase__     :Any							      =				vocab_file
							UpperCamelCase__     :Dict							      =				monolingual_vocab_file
							UpperCamelCase__     :Tuple							      =				spm.SentencePieceProcessor(**self.sp_model_kwargs							)
							self.sp_model.Load(str(UpperCamelCase_							)							)

							# Load the reduced vocab

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

							'''simple docstring'''


							UpperCamelCase__     :str							      =				self.__dict__.copy()
							UpperCamelCase__     :Any							      =				None
							UpperCamelCase__     :Optional[Any]							      =				self.sp_model.serialized_model_proto()
							return state




		def __setstate__(	self					,     UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :List[Any]							      =				d

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

							UpperCamelCase__     :Any							      =				spm.SentencePieceProcessor(**self.sp_model_kwargs							)
							self.sp_model.LoadFromSerializedProto(self.sp_model_proto							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_ = None							):

							'''simple docstring'''


							if token_ids_a is None:
												return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							UpperCamelCase__     :Union[str, Any]							      =				[self.cls_token_id]
							UpperCamelCase__     :Optional[int]							      =				[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep




		def 					lowerCAmelCase__       (	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_							)

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




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_ = None							):

							'''simple docstring'''


							UpperCamelCase__     :Dict							      =				[self.sep_token_id]
							UpperCamelCase__     :int							      =				[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 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							return len(self.fairseq_ids_to_tokens							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Tuple							      =				{self.convert_ids_to_tokens(UpperCamelCase_							): i for i in range(self.vocab_size							)}
							vocab.update(self.added_tokens_encoder							)
							return vocab




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							return self.sp_model.encode(UpperCamelCase_					,     out_type=UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							if token in self.fairseq_tokens_to_ids:
												return self.fairseq_tokens_to_ids[token]
							else:
												return self.unk_token_id




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							return self.fairseq_ids_to_tokens[index]




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :Dict							      =				''''''.join(UpperCamelCase_							).replace(UpperCamelCase_					,     ''' '''							).strip()
							return out_string




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_ = None							):

							'''simple docstring'''


							if not os.path.isdir(UpperCamelCase_							):
												logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''							)
												return
							UpperCamelCase__     :Union[str, Any]							      =				os.path.join(
							    UpperCamelCase_					,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)
							UpperCamelCase__     :List[str]							      =				os.path.join(
							    UpperCamelCase_					,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''monolingual_vocab_file''']					,     )

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

							if os.path.abspath(self.monolingual_vocab_file							) != os.path.abspath(
							    UpperCamelCase_							) and os.path.isfile(self.monolingual_vocab_file							):
												copyfile(self.monolingual_vocab_file					,     UpperCamelCase_							)
							elif not os.path.isfile(self.monolingual_vocab_file							):
												with open(UpperCamelCase_					,     '''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(UpperCamelCase_							)} \n'''							)

							return out_vocab_file, out_monolingual_vocab_file



'''simple docstring'''
import numpy as np


def     a   (    __a				,      __a				,      __a				,      __a				,      __a     )						->			Union[str, Any]:



					'''simple docstring'''






					UpperCamelCase__     :Tuple							      =				int(np.ceil((x_end - xa) / h     )     )
					UpperCamelCase__     :Optional[int]							      =				np.zeros((n + 1,)     )
					UpperCamelCase__     :List[str]							      =				ya
					UpperCamelCase__     :Tuple							      =				xa

					for k in range(__a     ):
										UpperCamelCase__     :Dict							      =				f(__a				,      y[k]     )
										UpperCamelCase__     :List[Any]							      =				f(x + 0.5 * h				,      y[k] + 0.5 * h * ka     )
										UpperCamelCase__     :Dict							      =				f(x + 0.5 * h				,      y[k] + 0.5 * h * ka     )
										UpperCamelCase__     :List[Any]							      =				f(x + h				,      y[k] + h * ka     )
										UpperCamelCase__     :List[str]							      =				y[k] + (1 / 6) * h * (ka + 2 * ka + 2 * ka + ka)
										x += h

					return y


if __name__ == "__main__":
		import doctest

		doctest.testmod()