
"""simple docstring"""






import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer





def __A						(   a_ :							List[str]     )->							Tuple:




		'''simple docstring'''






		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 __A						(   a_ :							Optional[int]     )->							List[str]:




		'''simple docstring'''






		for char in word:
				SCREAMING_SNAKE_CASE       :     Optional[Any]				= ord(SCREAMING_SNAKE_CASE_     )
				if not _is_chinese_char(SCREAMING_SNAKE_CASE_     ):
						return 0
		return 1





def __A						(   a_ :							Tuple     )->							Dict:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Dict				= set()

		for token in tokens:
				SCREAMING_SNAKE_CASE       :     Optional[Any]				= len(SCREAMING_SNAKE_CASE_     ) > 1 and is_chinese(SCREAMING_SNAKE_CASE_     )
				if chinese_word:
						word_set.add(SCREAMING_SNAKE_CASE_     )
		SCREAMING_SNAKE_CASE       :     List[Any]				= list(SCREAMING_SNAKE_CASE_     )
		return word_list





def __A						(   a_ :							Tuple		,		a_ :							Union[str, Any]     )->							List[str]:




		'''simple docstring'''






		if not chinese_word_set:
				return bert_tokens
		SCREAMING_SNAKE_CASE       :     Any				= max([len(SCREAMING_SNAKE_CASE_     ) for w in chinese_word_set]     )

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





def __A						(   a_ :							Optional[int]		,		a_ :							Any		,		a_ :							Union[str, Any]     )->							List[Any]:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Any				= []

		for i in range(0		,		len(SCREAMING_SNAKE_CASE_     )		,		1_00     ):
				SCREAMING_SNAKE_CASE       :     List[str]				= ltp_tokenizer.seg(lines[i : i + 1_00]     )[0]
				SCREAMING_SNAKE_CASE       :     Optional[int]				= [get_chinese_word(SCREAMING_SNAKE_CASE_     ) for r in res]
				ltp_res.extend(SCREAMING_SNAKE_CASE_     )
		assert len(SCREAMING_SNAKE_CASE_     ) == len(SCREAMING_SNAKE_CASE_     )

		SCREAMING_SNAKE_CASE       :     str				= []
		for i in range(0		,		len(SCREAMING_SNAKE_CASE_     )		,		1_00     ):
				SCREAMING_SNAKE_CASE       :     Any				= bert_tokenizer(lines[i : i + 1_00]		,		add_special_tokens=SCREAMING_SNAKE_CASE_		,		truncation=SCREAMING_SNAKE_CASE_		,		max_length=5_12     )
				bert_res.extend(res['''input_ids''']     )
		assert len(SCREAMING_SNAKE_CASE_     ) == len(SCREAMING_SNAKE_CASE_     )

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

		assert len(SCREAMING_SNAKE_CASE_     ) == len(SCREAMING_SNAKE_CASE_     )

		return ref_ids





def __A						(   a_ :							List[Any]     )->							Optional[Any]:




		'''simple docstring'''






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

		SCREAMING_SNAKE_CASE       :     Union[str, Any]				= prepare_ref(SCREAMING_SNAKE_CASE_		,		SCREAMING_SNAKE_CASE_		,		SCREAMING_SNAKE_CASE_     )

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


if __name__ == "__main__":
					lowerCamelCase__ :       Dict						     =			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")

					lowerCamelCase__ :       Optional[Any]						     =			parser.parse_args()
					main(args)




"""simple docstring"""






import math





def __A						(   a_ :							list		,		a_ :							int     )->							int:




		'''simple docstring'''






		SCREAMING_SNAKE_CASE       :     Optional[int]				= len(a_     )
		SCREAMING_SNAKE_CASE       :     Optional[Any]				= int(math.floor(math.sqrt(a_     )     )     )
		SCREAMING_SNAKE_CASE       :     List[str]				= 0
		while arr[min(a_		,		a_     ) - 1] < x:
				SCREAMING_SNAKE_CASE       :     Optional[Any]				= step
				step += int(math.floor(math.sqrt(a_     )     )     )
				if prev >= n:
						return -1

		while arr[prev] < x:
				SCREAMING_SNAKE_CASE       :     Any				= prev + 1
				if prev == min(a_		,		a_     ):
						return -1
		if arr[prev] == x:
				return prev
		return -1


if __name__ == "__main__":
					lowerCamelCase__ :       Union[str, Any]						     =			input("Enter numbers separated by a comma:\n").strip()
					lowerCamelCase__ :       List[str]						     =			[int(item) for item in user_input.split(",")]
					lowerCamelCase__ :       Dict						     =			int(input("Enter the number to be searched:\n"))
					lowerCamelCase__ :       Tuple						     =			jump_search(arr, x)
					if res == -1:
										print("Number not found!")
					else:
										print(f'''Number {x} is at index {res}''')





