"""simple docstring"""



import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer



def 					_lowerCamelCase(					a							):
       # This defines a "chinese character" as anything in the CJK Unicode block:
       #   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
       #
       # Note that the CJK Unicode block is NOT all Japanese and Korean characters,
       # despite its name. The modern Korean Hangul alphabet is a different block,
       # as is Japanese Hiragana and Katakana. Those alphabets are used to write
       # space-separated words, so they are not treated specially and handled
       # like the all of the other languages.
       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(					a							):
       # word like '180' or '身高' or '神'
       for char in word:
              __a     				=  ord(_a							)
              if not _is_chinese_char(_a							):
                     return 0
       return 1



def 					_lowerCamelCase(					a							):
       __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 					_lowerCamelCase(					a ,  a							):
       if not chinese_word_set:
              return bert_tokens
       __a     				=  max([len(_a							) for w in chinese_word_set]							)

       __a     				=  bert_tokens
       __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 					_lowerCamelCase(					a ,  a ,  a							):
       __a     				=  []

       for i in range(0 ,  len(_a							) ,  1_0_0							):
              __a     				=  ltp_tokenizer.seg(lines[i : i + 1_0_0]							)[0]
              __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 					_lowerCamelCase(					a							):
       # For Chinese (Ro)Bert, the best result is from : RoBERTa-wwm-ext (https://github.com/ymcui/Chinese-BERT-wwm)
       # If we want to fine-tune these model, we have to use same tokenizer : LTP (https://github.com/HIT-SCIR/ltp)
       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__":
     SCREAMING_SNAKE_CASE__: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""")

     SCREAMING_SNAKE_CASE__:Any			=	parser.parse_args()
     main(args)

"""simple docstring"""



import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

SCREAMING_SNAKE_CASE__:List[str]			=	3



def 					_lowerCamelCase(					a							):
       print("Generating primitive root of p"							)
       while True:
              __a     				=  random.randrange(3 ,  a							)
              if pow(a ,  2 ,  a							) == 1:
                     continue
              if pow(a ,  a ,  a							) == 1:
                     continue
              return g



def 					_lowerCamelCase(					a							):
       print("Generating prime p..."							)
       __a     				=  rabin_miller.generate_large_prime(a							)  # select large prime number.
       __a     				=  primitive_root(a							)  # one primitive root on modulo p.
       __a     				=  random.randrange(3 ,  a							)  # private_key -> have to be greater than 2 for safety.
       __a     				=  cryptomath.find_mod_inverse(pow(a ,  a ,  a							) ,  a							)

       __a     				=  (key_size, e_a, e_a, p)
       __a     				=  (key_size, d)

       return public_key, private_key



def 					_lowerCamelCase(					a ,  a							):
       if os.path.exists(F"{name}_pubkey.txt"							) or os.path.exists(F"{name}_privkey.txt"							):
              print("\nWARNING:"							)
              print(
                  F"\"{name}_pubkey.txt\" or \"{name}_privkey.txt\" already exists. \n"
                  "Use a different name or delete these files and re-run this program."							)
              sys.exit()

       __a				, __a     				=  generate_key(a							)
       print(F"\nWriting public key to file {name}_pubkey.txt..."							)
       with open(F"{name}_pubkey.txt" ,  "w"							) as fo:
              fo.write(F"{public_key[0]},{public_key[1]},{public_key[2]},{public_key[3]}"							)

       print(F"Writing private key to file {name}_privkey.txt..."							)
       with open(F"{name}_privkey.txt" ,  "w"							) as fo:
              fo.write(F"{private_key[0]},{private_key[1]}"							)



def 					_lowerCamelCase(					):
       print("Making key files..."							)
       make_key_files("elgamal" ,  2_0_4_8							)
       print("Key files generation successful"							)


if __name__ == "__main__":
   main()
