



'''simple docstring'''




import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer



def      a      (			lowerCamelCase__   ):
			'''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      (			lowerCamelCase__   ):
			'''simple docstring'''





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



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			A_     :						Any     =					set()

			for token in tokens:
						A_     :						Optional[Any]     =					len(lowercase_   ) > 1 and is_chinese(lowercase_   )
						if chinese_word:
									word_set.add(lowercase_   )
			A_     :						Union[str, Any]     =					list(lowercase_   )
			return word_list



def      a      (			lowerCamelCase__						,				lowerCamelCase__   ):
			'''simple docstring'''





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

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



def      a      (			lowerCamelCase__						,				lowerCamelCase__						,				lowerCamelCase__   ):
			'''simple docstring'''





			A_     :						str     =					[]

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

			A_     :						Union[str, Any]     =					[]
			for i in range(0						,				len(lowercase_   )						,				1_00   ):
						A_     :						Optional[Any]     =					bert_tokenizer(lines[i : i + 1_00]						,				add_special_tokens=lowercase_						,				truncation=lowercase_						,				max_length=5_12   )
						bert_res.extend(res["""input_ids"""]   )
			assert len(lowercase_   ) == len(lowercase_   )

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

			assert len(lowercase_   ) == len(lowercase_   )

			return ref_ids



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





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

			A_     :						Dict     =					prepare_ref(lowercase_						,				lowercase_						,				lowercase_   )

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


if __name__ == "__main__":
						lowerCamelCase							:Union[str, Any]       =						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							:str       =						parser.parse_args()
						main(args)




'''simple docstring'''




lowerCamelCase							:Any       = {
    '''A''': '''.-''', '''B''': '''-...''', '''C''': '''-.-.''', '''D''': '''-..''', '''E''': '''.''', '''F''': '''..-.''', '''G''': '''--.''',
    '''H''': '''....''', '''I''': '''..''', '''J''': '''.---''', '''K''': '''-.-''', '''L''': '''.-..''', '''M''': '''--''', '''N''': '''-.''',
    '''O''': '''---''', '''P''': '''.--.''', '''Q''': '''--.-''', '''R''': '''.-.''', '''S''': '''...''', '''T''': '''-''', '''U''': '''..-''',
    '''V''': '''...-''', '''W''': '''.--''', '''X''': '''-..-''', '''Y''': '''-.--''', '''Z''': '''--..''', '''1''': '''.----''',
    '''2''': '''..---''', '''3''': '''...--''', '''4''': '''....-''', '''5''': '''.....''', '''6''': '''-....''', '''7''': '''--...''',
    '''8''': '''---..''', '''9''': '''----.''', '''0''': '''-----''', '''&''': '''.-...''', '''@''': '''.--.-.''',
    ''':''': '''---...''', ''',''': '''--..--''', '''.''': '''.-.-.-''', '''\'''': '''.----.''', '''"''': '''.-..-.''',
    '''?''': '''..--..''', '''/''': '''-..-.''', '''=''': '''-...-''', '''+''': '''.-.-.''', '''-''': '''-....-''',
    '''(''': '''-.--.''', ''')''': '''-.--.-''', '''!''': '''-.-.--''', ''' ''': '''/'''
}  # Exclamation mark is not in ITU-R recommendation
# fmt: on
lowerCamelCase							:Any       = {value: key for key, value in MORSE_CODE_DICT.items()}



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			return " ".join(MORSE_CODE_DICT[char] for char in message.upper()   )



def      a      (			lowerCamelCase__   ):
			'''simple docstring'''





			return "".join(REVERSE_DICT[char] for char in message.split()   )



def      a      (			):
			'''simple docstring'''





			A_     :						List[str]     =					"""Morse code here!"""
			print(lowerCamelCase__   )
			A_     :						str     =					encrypt(lowerCamelCase__   )
			print(lowerCamelCase__   )
			A_     :						Dict     =					decrypt(lowerCamelCase__   )
			print(lowerCamelCase__   )


if __name__ == "__main__":
						main()