



'''simple docstring'''


import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer






def  UpperCAmelCase_       (		lowercase__       ):


					'''simple docstring'''







					if (
					    (cp >= 0X4_e00 and cp <= 0X9_fff)
					    or (cp >= 0X3_400 and cp <= 0X4_dbf)  #
					    or (cp >= 0X20_000 and cp <= 0X2a_6df)  #
					    or (cp >= 0X2a_700 and cp <= 0X2b_73f)  #
					    or (cp >= 0X2b_740 and cp <= 0X2b_81f)  #
					    or (cp >= 0X2b_820 and cp <= 0X2c_eaf)  #
					    or (cp >= 0Xf_900 and cp <= 0Xf_aff)
					    or (cp >= 0X2f_800 and cp <= 0X2f_a1f)  #
					):  #
										return True

					return False






def  UpperCAmelCase_       (		lowercase__       ):


					'''simple docstring'''







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






def  UpperCAmelCase_       (		lowercase__       ):


					'''simple docstring'''







					a_       		=set()

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






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ):


					'''simple docstring'''







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

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






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ):


					'''simple docstring'''







					a_       		=[]

					for i in range(0       ,	len(_A       )       ,	1_0_0       ):
										a_       		=ltp_tokenizer.pipeline(lines[i : i + 1_0_0]       ,	tasks=["cws"]       ).cws
										a_       		=[get_chinese_word(_A       ) for r in res]
										ltp_res.extend(_A       )
					assert len(_A       ) == len(_A       )

					a_       		=[]
					for i in range(0       ,	len(_A       )       ,	1_0_0       ):
										a_       		=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       )

					a_       		=[]
					for input_ids, chinese_word in zip(_A       ,	_A       ):
										a_       		=[]
										for id in input_ids:
															a_       		=bert_tokenizer._convert_id_to_token(_A       )
															input_tokens.append(_A       )
										a_       		=add_sub_symbol(_A       ,	_A       )
										a_       		=[]
										# 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] == "##":
																				a_       		=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_       (		lowercase__       ):


					'''simple docstring'''







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

					a_       		=prepare_ref(_A       ,	_A       ,	_A       )

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


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

		lowercase							       =			parser.parse_args()
		main(args)







'''simple docstring'''


import os

# Precomputes a list of the 100 first triangular numbers
lowercase							       =			[int(0.5 * n * (n + 1)) for n in range(1, 101)]






def  UpperCAmelCase_       (		):


     '''simple docstring'''







     a_       		=os.path.dirname(os.path.realpath(lowercase__       )       )
     a_       		=os.path.join(lowercase__       ,	"words.txt"       )

     a_       		=""
     with open(lowercase__       ) as f:
          a_       		=f.readline()

     a_       		=[word.strip("\""       ) for word in words.strip("\r\n"       ).split(","       )]
     a_       		=[
         word
         for word in [sum(ord(lowercase__       ) - 6_4 for x in word       ) for word in words]
         if word in TRIANGULAR_NUMBERS
     ]
     return len(lowercase__       )


if __name__ == "__main__":
  print(solution())


