'''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


_lowercase		:				Union[str, Any]	       =		logging.get_logger(__name__)

_lowercase		:				Union[str, Any]	       =		"▁"

_lowercase		:				str	       =		{"vocab_file": "sentencepiece.bpe.model", "monolingual_vocab_file": "dict.txt"}

_lowercase		:				Tuple	       =		{
    "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",
    },
}

_lowercase		:				Optional[int]	       =		{"vinai/bartpho-syllable": 1024}





class 					__magic_name__		(					_UpperCAmelCase):
			UpperCamelCase__       = VOCAB_FILES_NAMES
			UpperCamelCase__       = PRETRAINED_VOCAB_FILES_MAP
			UpperCamelCase__       = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCamelCase__       = ['''input_ids''', '''attention_mask''']







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

										lowercase_      :    Any       		= {} if sp_model_kwargs is None else sp_model_kwargs

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

										lowercase_      :    Tuple       		= vocab_file
										lowercase_      :    Any       		= monolingual_vocab_file
										lowercase_      :    Optional[int]       		= spm.SentencePieceProcessor(**self.sp_model_kwargs					)
										self.sp_model.Load(str(lowercase_					)					)

										# Load the reduced vocab

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

										lowercase_      :    Tuple       		= {v: k for k, v in self.fairseq_tokens_to_ids.items()}







			def __getstate__(			self       :						str					):
										lowercase_      :    List[str]       		= self.__dict__.copy()
										lowercase_      :    Optional[Any]       		= None
										lowercase_      :    str       		= self.sp_model.serialized_model_proto()
										return state







			def __setstate__(			self       :						Optional[int]       ,    lowercase_       :						List[str]					):
										lowercase_      :    int       		= d

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

										lowercase_      :    List[str]       		= spm.SentencePieceProcessor(**self.sp_model_kwargs					)
										self.sp_model.LoadFromSerializedProto(self.sp_model_proto					)







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Any       ,    lowercase_       :						List[int]       ,    lowercase_       :						Optional[List[int]] = None					):

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







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Optional[int]       ,    lowercase_       :						List[int]       ,    lowercase_       :						Optional[List[int]] = None       ,    lowercase_       :						bool = False					):

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

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







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Optional[int]       ,    lowercase_       :						List[int]       ,    lowercase_       :						Optional[List[int]] = None					):
										lowercase_      :    Any       		= [self.sep_token_id]
										lowercase_      :    Tuple       		= [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       :						List[str]					):
										return len(self.fairseq_ids_to_tokens					)







			def 			SCREAMING_SNAKE_CASE_  (			self       :						List[Any]					):
										lowercase_      :    Dict       		= {self.convert_ids_to_tokens(lowercase_					): i for i in range(self.vocab_size					)}
										vocab.update(self.added_tokens_encoder					)
										return vocab







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Tuple       ,    lowercase_       :						str					):
										return self.sp_model.encode(lowercase_       ,    out_type=lowercase_					)







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Optional[int]       ,    lowercase_       :						List[Any]					):
										if token in self.fairseq_tokens_to_ids:
																	return self.fairseq_tokens_to_ids[token]
										else:
																	return self.unk_token_id







			def 			SCREAMING_SNAKE_CASE_  (			self       :						Optional[int]       ,    lowercase_       :						str					):
										return self.fairseq_ids_to_tokens[index]







			def 			SCREAMING_SNAKE_CASE_  (			self       :						List[Any]       ,    lowercase_       :						Tuple					):
										lowercase_      :    Union[str, Any]       		= """""".join(lowercase_					).replace(lowercase_       ,    """ """					).strip()
										return out_string







			def 			SCREAMING_SNAKE_CASE_  (			self       :						List[Any]       ,    lowercase_       :						str       ,    lowercase_       :						Optional[str] = None					):
										if not os.path.isdir(lowercase_					):
																	logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
																	return
										lowercase_      :    Optional[int]       		= os.path.join(
										    lowercase_       ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
										lowercase_      :    str       		= os.path.join(
										    lowercase_       ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""monolingual_vocab_file"""]       ,    )

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

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

										return out_vocab_file, out_monolingual_vocab_file






'''simple docstring'''




import argparse


_lowercase		:				Optional[int]	       =		"docs/source/_static/js/custom.js"




def 							lowerCamelCase			(   UpperCAmelCase__ :      Tuple				)    ->   Dict:
							with open(UpperCAmelCase__   ,   encoding="""utf-8"""   ,   newline="""\n"""				) as f:
														lowercase_      :    Optional[int]       		= f.readlines()
							lowercase_      :    Tuple       		= 0

							# First let's put the right version
							while not lines[index].startswith("""const stableVersion ="""				):
														index += 1
							lowercase_      :    Optional[Any]       		= F'''const stableVersion = "v{version}"\n'''

							# Then update the dictionary
							while not lines[index].startswith("""const versionMapping = {"""				):
														index += 1

							# We go until the end
							while not lines[index].startswith("""}"""				):
														index += 1
							# We add the new version at the end
							lines[index - 1] += F'''    "v{version}": "v{version}",\n'''

							with open(UpperCAmelCase__   ,   """w"""   ,   encoding="""utf-8"""   ,   newline="""\n"""				) as f:
														f.writelines(UpperCAmelCase__				)


if __name__ == "__main__":
						_lowercase		:				Union[str, Any]	       =		argparse.ArgumentParser()
						parser.add_argument("--version", help="Release version.")
						_lowercase		:				Dict	       =		parser.parse_args()
						update_custom_js(args.version)





