






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

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


SCREAMING_SNAKE_CASE__      :			List[Any]							=		logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__      :			Union[str, Any]							=		{
    """vocab_file""": """vocab.txt""",
    """merges_file""": """bpe.codes""",
}

SCREAMING_SNAKE_CASE__      :			List[str]							=		{
    """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""",
    },
}

SCREAMING_SNAKE_CASE__      :			List[str]							=		{
    """vinai/phobert-base""": 2_56,
    """vinai/phobert-large""": 2_56,
}

def      __lowercase					( snake_case ):







				"""simple docstring"""






				__magic_name__		:List[Any]        =      set()
				__magic_name__		:Union[str, Any]        =      word[0]
				for char in word[1:]:
								pairs.add((prev_char, char) )
								__magic_name__		:List[str]        =      char

				__magic_name__		:Any        =      set(snake_case )
				return pairs

class 						lowerCamelCase_				(      lowerCamelCase ):
				a__					       =  VOCAB_FILES_NAMES
				a__					       =  PRETRAINED_VOCAB_FILES_MAP
				a__					       =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







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

								__magic_name__		:List[str]        =      vocab_file
								__magic_name__		:Dict        =      merges_file

								__magic_name__		:List[Any]        =      {}
								__magic_name__		:Tuple        =      0
								__magic_name__		:Union[str, Any]        =      1
								__magic_name__		:List[Any]        =      2
								__magic_name__		:int        =      3

								self.add_from_file(__lowerCAmelCase     )

								__magic_name__		:List[Any]        =      {v: k for k, v in self.encoder.items()}

								with open(__lowerCAmelCase       ,					encoding='''utf-8'''     ) as merges_handle:
												__magic_name__		:str        =      merges_handle.read().split('''\n'''     )[:-1]
								__magic_name__		:Optional[int]        =      [tuple(merge.split()[:-1]     ) for merge in merges]
								__magic_name__		:Dict        =      dict(zip(__lowerCAmelCase       ,					range(len(__lowerCAmelCase     )     )     )     )
								__magic_name__		:Any        =      {}







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase = None     ):
								"""simple docstring"""

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







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase = None       ,					__lowerCAmelCase = False     ):
								"""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 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase = None     ):
								"""simple docstring"""
								__magic_name__		:Optional[int]        =      [self.sep_token_id]
								__magic_name__		:List[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     ):
								"""simple docstring"""
								return len(self.encoder     )







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







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								if token in self.cache:
												return self.cache[token]
								__magic_name__		:str        =      tuple(__lowerCAmelCase     )
								__magic_name__		:List[Any]        =      tuple(list(word[:-1]     ) + [word[-1] + '''</w>''']     )
								__magic_name__		:int        =      get_pairs(__lowerCAmelCase     )

								if not pairs:
												return token

								while True:
												__magic_name__		:Optional[Any]        =      min(__lowerCAmelCase       ,					key=lambda __lowerCAmelCase     : self.bpe_ranks.get(__lowerCAmelCase       ,					float('''inf'''     )     )     )
												if bigram not in self.bpe_ranks:
																break
												__magic_name__     ,				__magic_name__		:Tuple        =      bigram
												__magic_name__		:Tuple        =      []
												__magic_name__		:Optional[Any]        =      0
												while i < len(__lowerCAmelCase     ):
																try:
																				__magic_name__		:Optional[int]        =      word.index(__lowerCAmelCase       ,					__lowerCAmelCase     )
																except ValueError:
																				new_word.extend(word[i:]     )
																				break
																else:
																				new_word.extend(word[i:j]     )
																				__magic_name__		:List[str]        =      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
												__magic_name__		:Dict        =      tuple(__lowerCAmelCase     )
												__magic_name__		:Dict        =      new_word
												if len(__lowerCAmelCase     ) == 1:
																break
												else:
																__magic_name__		:Tuple        =      get_pairs(__lowerCAmelCase     )
								__magic_name__		:Tuple        =      '''@@ '''.join(__lowerCAmelCase     )
								__magic_name__		:List[str]        =      word[:-4]
								__magic_name__		:List[Any]        =      word
								return word







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								__magic_name__		:Union[str, Any]        =      []

								__magic_name__		:Tuple        =      re.findall(R'''\S+\n?'''       ,					__lowerCAmelCase     )

								for token in words:
												split_tokens.extend(list(self.bpe(__lowerCAmelCase     ).split(''' '''     )     )     )
								return split_tokens







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								return self.encoder.get(__lowerCAmelCase       ,					self.encoder.get(self.unk_token     )     )







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								return self.decoder.get(__lowerCAmelCase       ,					self.unk_token     )







				def 			A	(						self       ,					__lowerCAmelCase     ):
								"""simple docstring"""
								__magic_name__		:int        =      ''' '''.join(__lowerCAmelCase     ).replace('''@@ '''       ,					''''''     ).strip()
								return out_string







				def 			A	(						self       ,					__lowerCAmelCase       ,					__lowerCAmelCase = None     ):
								"""simple docstring"""
								if not os.path.isdir(__lowerCAmelCase     ):
												logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''     )
												return
								__magic_name__		:Optional[Any]        =      os.path.join(
								    __lowerCAmelCase       ,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']     )
								__magic_name__		:Any        =      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 			A	(						self       ,					__lowerCAmelCase     ):
								"""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

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














import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer

def      __lowercase					( snake_case ):







				"""simple docstring"""






				if (
				    (cp >= 0x4_e_0_0 and cp <= 0x9_f_f_f)
				    or (cp >= 0x3_4_0_0 and cp <= 0x4_d_b_f)  #
				    or (cp >= 0x2_0_0_0_0 and cp <= 0x2_a_6_d_f)  #
				    or (cp >= 0x2_a_7_0_0 and cp <= 0x2_b_7_3_f)  #
				    or (cp >= 0x2_b_7_4_0 and cp <= 0x2_b_8_1_f)  #
				    or (cp >= 0x2_b_8_2_0 and cp <= 0x2_c_e_a_f)  #
				    or (cp >= 0xf_9_0_0 and cp <= 0xf_a_f_f)
				    or (cp >= 0x2_f_8_0_0 and cp <= 0x2_f_a_1_f)  #
				):  #
								return True

				return False

def      __lowercase					( snake_case ):







				"""simple docstring"""






				for char in word:
								__magic_name__		:Union[str, Any]        =      ord(snake_case )
								if not _is_chinese_char(snake_case ):
												return 0
				return 1

def      __lowercase					( snake_case ):







				"""simple docstring"""






				__magic_name__		:Any        =      set()

				for token in tokens:
								__magic_name__		:Dict        =      len(snake_case ) > 1 and is_chinese(snake_case )
								if chinese_word:
												word_set.add(snake_case )
				__magic_name__		:str        =      list(snake_case )
				return word_list

def      __lowercase					( snake_case,  snake_case ):







				"""simple docstring"""






				if not chinese_word_set:
								return bert_tokens
				__magic_name__		:int        =      max([len(snake_case ) for w in chinese_word_set] )

				__magic_name__		:Any        =      bert_tokens
				__magic_name__     ,				__magic_name__		:List[Any]        =      0, len(snake_case )
				while start < end:
								__magic_name__		:str        =      True
								if is_chinese(bert_word[start] ):
												__magic_name__		:Optional[Any]        =      min(end - start,  snake_case )
												for i in range(snake_case,  1,  -1 ):
																__magic_name__		:Any        =      ''''''.join(bert_word[start : start + i] )
																if whole_word in chinese_word_set:
																				for j in range(start + 1,  start + i ):
																								__magic_name__		:Optional[int]        =      '''##''' + bert_word[j]
																				__magic_name__		:List[str]        =      start + i
																				__magic_name__		:Optional[Any]        =      False
																				break
								if single_word:
												start += 1
				return bert_word

def      __lowercase					( snake_case,  snake_case,  snake_case ):







				"""simple docstring"""






				__magic_name__		:Optional[int]        =      []

				for i in range(0,  len(snake_case ),  1_0_0 ):
								__magic_name__		:List[str]        =      ltp_tokenizer.seg(lines[i : i + 1_0_0] )[0]
								__magic_name__		:List[str]        =      [get_chinese_word(snake_case ) for r in res]
								ltp_res.extend(snake_case )
				assert len(snake_case ) == len(snake_case )

				__magic_name__		:Union[str, Any]        =      []
				for i in range(0,  len(snake_case ),  1_0_0 ):
								__magic_name__		:str        =      bert_tokenizer(lines[i : i + 1_0_0],  add_special_tokens=snake_case,  truncation=snake_case,  max_length=5_1_2 )
								bert_res.extend(res['''input_ids'''] )
				assert len(snake_case ) == len(snake_case )

				__magic_name__		:Union[str, Any]        =      []
				for input_ids, chinese_word in zip(snake_case,  snake_case ):
								__magic_name__		:Any        =      []
								for id in input_ids:
												__magic_name__		:List[Any]        =      bert_tokenizer._convert_id_to_token(snake_case )
												input_tokens.append(snake_case )
								__magic_name__		:Dict        =      add_sub_symbol(snake_case,  snake_case )
								__magic_name__		:Optional[Any]        =      []
								# We only save pos of chinese subwords start with ##, which mean is part of a whole word.
								for i, token in enumerate(snake_case ):
												if token[:2] == "##":
																__magic_name__		:Optional[int]        =      token[2:]
																# save chinese tokens' pos
																if len(snake_case ) == 1 and _is_chinese_char(ord(snake_case ) ):
																				ref_id.append(snake_case )
								ref_ids.append(snake_case )

				assert len(snake_case ) == len(snake_case )

				return ref_ids

def      __lowercase					( snake_case ):







				"""simple docstring"""






				with open(args.file_name,  '''r''',  encoding='''utf-8''' ) as f:
								__magic_name__		:Union[str, Any]        =      f.readlines()
				__magic_name__		:int        =      [line.strip() for line in data if len(snake_case ) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
				__magic_name__		:List[Any]        =      LTP(args.ltp )  # faster in GPU device
				__magic_name__		:List[str]        =      BertTokenizer.from_pretrained(args.bert )

				__magic_name__		:Optional[int]        =      prepare_ref(snake_case,  snake_case,  snake_case )

				with open(args.save_path,  '''w''',  encoding='''utf-8''' ) as f:
								__magic_name__		:Dict        =      [json.dumps(snake_case ) + '''\n''' for ref in ref_ids]
								f.writelines(snake_case )


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE__      :			Tuple							=		argparse.ArgumentParser(description="""prepare_chinese_ref""")
					parser.add_argument(
					    """--file_name""",
					    type=str,
					    default="""./resources/chinese-demo.txt""",
					    help="""file need process, same as training data in lm""",
					)
					parser.add_argument(
					    """--ltp""", type=str, default="""./resources/ltp""", help="""resources for LTP tokenizer, usually a path"""
					)
					parser.add_argument("""--bert""", type=str, default="""./resources/robert""", help="""resources for Bert tokenizer""")
					parser.add_argument("""--save_path""", type=str, default="""./resources/ref.txt""", help="""path to save res""")

					SCREAMING_SNAKE_CASE__      :			int							=		parser.parse_args()
					main(args)






