
import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert import BertTokenizer






def      lowerCamelCase__       (       __lowerCAmelCase						:						str       ):




   """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      lowerCamelCase__       (       __lowerCAmelCase						:						Tuple       ):




   """simple docstring"""


   for char in word:
      lowerCAmelCase_      			=			ord(_snake_case       )
      if not _is_chinese_char(_snake_case       ):
         return 0
   return 1






def      lowerCamelCase__       (       __lowerCAmelCase						:						List[str]       ):




   """simple docstring"""


   lowerCAmelCase_      			=			set()

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






def      lowerCamelCase__       (       __lowerCAmelCase						:						Union[str, Any]					,							__lowerCAmelCase						:						int       ):




   """simple docstring"""


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

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






def      lowerCamelCase__       (       __lowerCAmelCase						:						Union[str, Any]					,							__lowerCAmelCase						:						Optional[int]					,							__lowerCAmelCase						:						str       ):




   """simple docstring"""


   lowerCAmelCase_      			=			[]

   for i in range(0					,							len(_snake_case       )					,							100       ):
      lowerCAmelCase_      			=			ltp_tokenizer.pipeline(lines[i : i + 100]					,							tasks=["cws"]       ).cws
      lowerCAmelCase_      			=			[get_chinese_word(_snake_case       ) for r in res]
      ltp_res.extend(_snake_case       )
   assert len(_snake_case       ) == len(_snake_case       )

   lowerCAmelCase_      			=			[]
   for i in range(0					,							len(_snake_case       )					,							100       ):
      lowerCAmelCase_      			=			bert_tokenizer(lines[i : i + 100]					,							add_special_tokens=_snake_case					,							truncation=_snake_case					,							max_length=512       )
      bert_res.extend(res["input_ids"]       )
   assert len(_snake_case       ) == len(_snake_case       )

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

   assert len(_snake_case       ) == len(_snake_case       )

   return ref_ids






def      lowerCamelCase__       (       __lowerCAmelCase						:						Optional[int]       ):




   """simple docstring"""


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

   lowerCAmelCase_      			=			prepare_ref(_snake_case					,							_snake_case					,							_snake_case       )

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





import itertools
import string
from collections.abc import Generator, Iterable






def      lowerCamelCase__       (       __lowerCAmelCase						:						Iterable[str]					,							__lowerCAmelCase						:						int       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			iter(__lowerCAmelCase       )
			while True:
						lowerCAmelCase_      			=			tuple(itertools.islice(__lowerCAmelCase					,							__lowerCAmelCase       )       )
						if not chunk:
									return
						yield chunk






def      lowerCamelCase__       (       __lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			"".join([c.upper() for c in dirty if c in string.ascii_letters]       )
			lowerCAmelCase_      			=			""

			if len(__lowerCAmelCase       ) < 2:
						return dirty

			for i in range(len(__lowerCAmelCase       ) - 1       ):
						clean += dirty[i]

						if dirty[i] == dirty[i + 1]:
									clean += "X"

			clean += dirty[-1]

			if len(__lowerCAmelCase       ) & 1:
						clean += "X"

			return clean






def      lowerCamelCase__       (       __lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			"ABCDEFGHIKLMNOPQRSTUVWXYZ"
			# we're using a list instead of a '2d' array because it makes the math
			# for setting up the table and doing the actual encoding/decoding simpler
			lowerCAmelCase_      			=			[]

			# copy key chars into the table if they are in `alphabet` ignoring duplicates
			for char in key.upper():
						if char not in table and char in alphabet:
									table.append(__lowerCAmelCase       )

    # fill the rest of the table in with the remaining alphabet chars
			for char in alphabet:
						if char not in table:
									table.append(__lowerCAmelCase       )

			return table






def      lowerCamelCase__       (       __lowerCAmelCase						:						str					,							__lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			generate_table(__lowerCAmelCase       )
			lowerCAmelCase_      			=			prepare_input(__lowerCAmelCase       )
			lowerCAmelCase_      			=			""

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(__lowerCAmelCase					,							2       ):
						lowerCAmelCase_			,						lowerCAmelCase_      			=			divmod(table.index(__lowerCAmelCase       )					,							5       )
						lowerCAmelCase_			,						lowerCAmelCase_      			=			divmod(table.index(__lowerCAmelCase       )					,							5       )

						if rowa == rowa:
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
						elif cola == cola:
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
						else:  # rectangle
									ciphertext += table[rowa * 5 + cola]
									ciphertext += table[rowa * 5 + cola]

			return ciphertext






def      lowerCamelCase__       (       __lowerCAmelCase						:						str					,							__lowerCAmelCase						:						str       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			generate_table(__lowerCAmelCase       )
			lowerCAmelCase_      			=			""

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(__lowerCAmelCase					,							2       ):
						lowerCAmelCase_			,						lowerCAmelCase_      			=			divmod(table.index(__lowerCAmelCase       )					,							5       )
						lowerCAmelCase_			,						lowerCAmelCase_      			=			divmod(table.index(__lowerCAmelCase       )					,							5       )

						if rowa == rowa:
									plaintext += table[rowa * 5 + (cola - 1) % 5]
									plaintext += table[rowa * 5 + (cola - 1) % 5]
						elif cola == cola:
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
						else:  # rectangle
									plaintext += table[rowa * 5 + cola]
									plaintext += table[rowa * 5 + cola]

			return plaintext



