



"""simple docstring"""

import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  List[str]			):



					"""simple docstring"""





					if (
					    (cp >= 0x4e00 and cp <= 0x9fff)
					    or (cp >= 0x3400 and cp <= 0x4dbf)  #
					    or (cp >= 0x20000 and cp <= 0x2a6df)  #
					    or (cp >= 0x2a700 and cp <= 0x2b73f)  #
					    or (cp >= 0x2b740 and cp <= 0x2b81f)  #
					    or (cp >= 0x2b820 and cp <= 0x2ceaf)  #
					    or (cp >= 0xf900 and cp <= 0xfaff)
					    or (cp >= 0x2f800 and cp <= 0x2fa1f)  #
					):  #
										return True

					return False







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  str			):



					"""simple docstring"""





					for char in word:
										snake_case_					:		int 					=					ord(SCREAMING_SNAKE_CASE__			)
										if not _is_chinese_char(SCREAMING_SNAKE_CASE__			):
															return 0
					return 1







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  List[str]			):



					"""simple docstring"""





					snake_case_					:		Any 					=					set()

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







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  List[str]				,    SCREAMING_SNAKE_CASE__ :  set()			):



					"""simple docstring"""





					if not chinese_word_set:
										return bert_tokens
					snake_case_					:		Dict 					=					max([len(SCREAMING_SNAKE_CASE__			) for w in chinese_word_set]			)

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







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  List[str]				,    SCREAMING_SNAKE_CASE__ :  LTP				,    SCREAMING_SNAKE_CASE__ :  BertTokenizer			):



					"""simple docstring"""





					snake_case_					:		Optional[Any] 					=					[]

					for i in range(0				,    len(SCREAMING_SNAKE_CASE__			)				,    1_0_0			):
										snake_case_					:		Union[str, Any] 					=					ltp_tokenizer.pipeline(lines[i : i + 1_0_0]				,    tasks=["""cws"""]			).cws
										snake_case_					:		List[Any] 					=					[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__			)

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

					snake_case_					:		Dict 					=					[]
					for input_ids, chinese_word in zip(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			):
										snake_case_					:		Optional[Any] 					=					[]
										for id in input_ids:
															snake_case_					:		Optional[int] 					=					bert_tokenizer._convert_id_to_token(SCREAMING_SNAKE_CASE__			)
															input_tokens.append(SCREAMING_SNAKE_CASE__			)
										snake_case_					:		Optional[int] 					=					add_sub_symbol(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
										snake_case_					:		str 					=					[]
										# 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] == "##":
																				snake_case_					:		str 					=					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 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  Any			):



					"""simple docstring"""





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

					snake_case_					:		Optional[int] 					=					prepare_ref(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)

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


if __name__ == "__main__":
			a_			   =					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''',
			)

			a_			   =					parser.parse_args()
			main(args)









"""simple docstring"""

def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  list			):



					"""simple docstring"""





					snake_case_					:		Optional[int] 					=					len(SCREAMING_SNAKE_CASE__			)
					for i in range(1				,    SCREAMING_SNAKE_CASE__			):
										snake_case_					:		Tuple 					=					collection[i]
										snake_case_					:		Tuple 					=					0
										snake_case_					:		str 					=					i - 1

										while low <= high:
															snake_case_					:		Optional[int] 					=					(low + high) // 2
															if val < collection[mid]:
																				snake_case_					:		List[str] 					=					mid - 1
															else:
																				snake_case_					:		str 					=					mid + 1
										for j in range(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    -1			):
															snake_case_					:		List[str] 					=					collection[j - 1]
										snake_case_					:		Any 					=					val
					return collection


if __name__ == "__main__":
			a_			   =					input('''Enter numbers separated by a comma:\n''').strip()
			a_			   =					[int(item) for item in user_input.split(''',''')]
			print(binary_insertion_sort(unsorted))




