




import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer


def 			UpperCAmelCase_				(      UpperCAmelCase__  ):




					if (
					    (cp >= 0X4e_00 and cp <= 0X9f_ff)
					    or (cp >= 0X34_00 and cp <= 0X4d_bf)  #
					    or (cp >= 0X2_00_00 and cp <= 0X2_a6_df)  #
					    or (cp >= 0X2_a7_00 and cp <= 0X2_b7_3f)  #
					    or (cp >= 0X2_b7_40 and cp <= 0X2_b8_1f)  #
					    or (cp >= 0X2_b8_20 and cp <= 0X2_ce_af)  #
					    or (cp >= 0Xf9_00 and cp <= 0Xfa_ff)
					    or (cp >= 0X2_f8_00 and cp <= 0X2_fa_1f)  #
					):  #
										return True

					return False


def 			UpperCAmelCase_				(      UpperCAmelCase__  ):




					for char in word:
										lowercase_  							=			ord(_A  )
										if not _is_chinese_char(_A  ):
															return 0
					return 1


def 			UpperCAmelCase_				(      UpperCAmelCase__  ):
					lowercase_  							=			set()

					for token in tokens:
										lowercase_  							=			len(_A  ) > 1 and is_chinese(_A  )
										if chinese_word:
															word_set.add(_A  )
					lowercase_  							=			list(_A  )
					return word_list


def 			UpperCAmelCase_				(      UpperCAmelCase__						,							UpperCAmelCase__  ):




					if not chinese_word_set:
										return bert_tokens
					lowercase_  							=			max([len(_A  ) for w in chinese_word_set]  )

					lowercase_  							=			bert_tokens
					lowercase_  							=			0, len(_A  )
					while start < end:
										lowercase_  							=			True
										if is_chinese(bert_word[start]  ):
															lowercase_  							=			min(end - start						,							_A  )
															for i in range(_A						,							1						,							-1  ):
																				lowercase_  							=			"".join(bert_word[start : start + i]  )
																				if whole_word in chinese_word_set:
																									for j in range(start + 1						,							start + i  ):
																														lowercase_  							=			"##" + bert_word[j]
																									lowercase_  							=			start + i
																									lowercase_  							=			False
																									break
										if single_word:
															start += 1
					return bert_word


def 			UpperCAmelCase_				(      UpperCAmelCase__						,							UpperCAmelCase__						,							UpperCAmelCase__  ):
					lowercase_  							=			[]

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

					lowercase_  							=			[]
					for i in range(0						,							len(_A  )						,							1_0_0  ):
										lowercase_  							=			bert_tokenizer(lines[i : i + 1_0_0]						,							add_special_tokens=_A						,							truncation=_A						,							max_length=5_1_2  )
										bert_res.extend(res["""input_ids"""]  )
					assert len(_A  ) == len(_A  )

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

					assert len(_A  ) == len(_A  )

					return ref_ids


def 			UpperCAmelCase_				(      UpperCAmelCase__  ):




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

					lowercase_  							=			prepare_ref(_A						,							_A						,							_A  )

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


if __name__ == "__main__":
							a					  =     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')

							a					  =     parser.parse_args()
							main(args)






def 			UpperCAmelCase_				(      UpperCAmelCase__  ):
					return " ".join(input_str.split()[::-1]  )


if __name__ == "__main__":
							import doctest

							doctest.testmod()


