




'''simple docstring'''


import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


UpperCAmelCase_ 		=      NewType("DataClass", Any)
UpperCAmelCase_ 		=      NewType("DataClassType", Any)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  if isinstance(SCREAMING_SNAKE_CASE_				,					SCREAMING_SNAKE_CASE_			):
    return v
  if v.lower() in ("yes", "true", "t", "y", "1"):
    return True
  elif v.lower() in ("no", "false", "f", "n", "0"):
    return False
  else:
    raise ArgumentTypeError(
        f"Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive)."			)


def 						SCREAMING_SNAKE_CASE       (      a_	:							Optional[int]			):
  __a			=					{str(SCREAMING_SNAKE_CASE_			): choice for choice in choices}
  return lambda a_			: str_to_choice.get(SCREAMING_SNAKE_CASE_				,					SCREAMING_SNAKE_CASE_			)


def 						SCREAMING_SNAKE_CASE       (      *,
    a_	:							str = None				,					a_	:							int = None				,					a_	:							List[Any] = dataclasses.MISSING				,					a_	:							Optional[int] = dataclasses.MISSING				,					a_	:							Optional[Any] = None				,					**a_	:							str				,					):
  if metadata is None:
    # Important, don't use as default param in function signature because dict is mutable and shared across function calls
    __a			=					{}
  if aliases is not None:
    __a			=					aliases
  if help is not None:
    __a			=					help

  return dataclasses.field(metadata=SCREAMING_SNAKE_CASE_				,					default=SCREAMING_SNAKE_CASE_				,					default_factory=SCREAMING_SNAKE_CASE_				,					**SCREAMING_SNAKE_CASE_			)





class    __lowercase    (  __magic_name__ ):
   _a							=      42







   def __init__(	self      ,							UpperCamelCase      ,							**UpperCamelCase      )				->    List[Any]:







     if "formatter_class" not in kwargs:
       __a			=					ArgumentDefaultsHelpFormatter
     super().__init__(**UpperCamelCase      )
     if dataclasses.is_dataclass(UpperCamelCase      ):
       __a			=					[dataclass_types]
     __a			=					list(UpperCamelCase      )
     for dtype in self.dataclass_types:
       self._add_dataclass_arguments(UpperCamelCase      )







   @staticmethod
   def 		UpperCamelCase__			(	UpperCamelCase      ,							UpperCamelCase      )				->    List[Any]:
     __a			=					f"--{field.name}"
     __a			=					field.metadata.copy()
     # field.metadata is not used at all by Data Classes,
     # it is provided as a third-party extension mechanism.
     if isinstance(field.type      ,							UpperCamelCase      ):
       raise RuntimeError(
           'Unresolved type detected, which should have been done with the help of '
           '`typing.get_type_hints` method by default'      )

     __a			=					kwargs.pop('aliases'      ,							[]      )
     if isinstance(UpperCamelCase      ,							UpperCamelCase      ):
       __a			=					[aliases]

     __a			=					getattr(field.type      ,							'__origin__'      ,							field.type      )
     if origin_type is Union or (hasattr(UpperCamelCase      ,							'UnionType'      ) and isinstance(UpperCamelCase      ,							types.UnionType      )):
       if str not in field.type.__args__ and (
           len(field.type.__args__      ) != 2 or type(UpperCamelCase      ) not in field.type.__args__
       ):
         raise ValueError(
             'Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because'
             ' the argument parser only supports one type per argument.'
             f" Problem encountered in field \'{field.name}\'."      )
       if type(UpperCamelCase      ) not in field.type.__args__:
         # filter `str` in Union
         __a			=					field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
         __a			=					getattr(field.type      ,							'__origin__'      ,							field.type      )
       elif bool not in field.type.__args__:
         # filter `NoneType` in Union (except for `Union[bool, NoneType]`)
         __a			=					(
             field.type.__args__[0] if isinstance(UpperCamelCase      ,							field.type.__args__[1]      ) else field.type.__args__[1]
         )
         __a			=					getattr(field.type      ,							'__origin__'      ,							field.type      )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
     __a			=					{}
     if origin_type is Literal or (isinstance(field.type      ,							UpperCamelCase      ) and issubclass(field.type      ,							UpperCamelCase      )):
       if origin_type is Literal:
         __a			=					field.type.__args__
       else:
         __a			=					[x.value for x in field.type]

       __a			=					make_choice_type_function(kwargs['choices']      )

       if field.default is not dataclasses.MISSING:
         __a			=					field.default
       else:
         __a			=					True
     elif field.type is bool or field.type == Optional[bool]:
       # Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
       # We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
       __a			=					copy(UpperCamelCase      )

       # Hack because type=bool in argparse does not behave as we want.
       __a			=					string_to_bool
       if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
         # Default value is False if we have no default when of type bool.
         __a			=					False if field.default is dataclasses.MISSING else field.default
         # This is the value that will get picked if we don't include --field_name in any way
         __a			=					default
         # This tells argparse we accept 0 or 1 value after --field_name
         __a			=					'?'
         # This is the value that will get picked if we do --field_name (without value)
         __a			=					True
     elif isclass(UpperCamelCase      ) and issubclass(UpperCamelCase      ,							UpperCamelCase      ):
       __a			=					field.type.__args__[0]
       __a			=					'+'
       if field.default_factory is not dataclasses.MISSING:
         __a			=					field.default_factory()
       elif field.default is dataclasses.MISSING:
         __a			=					True
     else:
       __a			=					field.type
       if field.default is not dataclasses.MISSING:
         __a			=					field.default
       elif field.default_factory is not dataclasses.MISSING:
         __a			=					field.default_factory()
       else:
         __a			=					True
     parser.add_argument(UpperCamelCase      ,							*UpperCamelCase      ,							**UpperCamelCase      )

     # Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
     # Order is important for arguments with the same destination!
     # We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
     # here and we do not need those changes/additional keys.
     if field.default is True and (field.type is bool or field.type == Optional[bool]):
       __a			=					False
       parser.add_argument(f"--no_{field.name}"      ,							action='store_false'      ,							dest=field.name      ,							**UpperCamelCase      )







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      )				->    str:







     if hasattr(UpperCamelCase      ,							'_argument_group_name'      ):
       __a			=					self.add_argument_group(dtype._argument_group_name      )
     else:
       __a			=					self

     try:
       __a			=					get_type_hints(UpperCamelCase      )
     except NameError:
       raise RuntimeError(
           f"Type resolution failed for {dtype}. Try declaring the class in global scope or "
           'removing line of `from __future__ import annotations` which opts in Postponed '
           'Evaluation of Annotations (PEP 563)'      )
     except TypeError as ex:
       # Remove this block when we drop Python 3.9 support
       if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(UpperCamelCase      ):
         __a			=					'.'.join(map(UpperCamelCase      ,							sys.version_info[:3]      )      )
         raise RuntimeError(
             f"Type resolution failed for {dtype} on Python {python_version}. Try removing "
             'line of `from __future__ import annotations` which opts in union types as '
             '`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To '
             'support Python versions that lower than 3.10, you need to use '
             '`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of '
             '`X | None`.'      ) from ex
       raise

     for field in dataclasses.fields(UpperCamelCase      ):
       if not field.init:
         continue
       __a			=					type_hints[field.name]
       self._parse_dataclass_field(UpperCamelCase      ,							UpperCamelCase      )







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase=None      ,							UpperCamelCase=False      ,							UpperCamelCase=True      ,							UpperCamelCase=None      ,							UpperCamelCase=None      ,							)				->    Union[str, Any]:







     if args_file_flag or args_filename or (look_for_args_file and len(sys.argv      )):
       __a			=					[]

       if args_filename:
         args_files.append(Path(UpperCamelCase      )      )
       elif look_for_args_file and len(sys.argv      ):
         args_files.append(Path(sys.argv[0]      ).with_suffix('.args'      )      )

       # args files specified via command line flag should overwrite default args files so we add them last
       if args_file_flag:
         # Create special parser just to extract the args_file_flag values
         __a			=					ArgumentParser()
         args_file_parser.add_argument(UpperCamelCase      ,							type=UpperCamelCase      ,							action='append'      )

         # Use only remaining args for further parsing (remove the args_file_flag)
         __a			=					args_file_parser.parse_known_args(args=UpperCamelCase      )
         __a			=					vars(UpperCamelCase      ).get(args_file_flag.lstrip('-'      )      ,							UpperCamelCase      )

         if cmd_args_file_paths:
           args_files.extend([Path(UpperCamelCase      ) for p in cmd_args_file_paths]      )

       __a			=					[]
       for args_file in args_files:
         if args_file.exists():
           file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
       __a			=					file_args + args if args is not None else file_args + sys.argv[1:]
     __a			=					self.parse_known_args(args=UpperCamelCase      )
     __a			=					[]
     for dtype in self.dataclass_types:
       __a			=					{f.name for f in dataclasses.fields(UpperCamelCase      ) if f.init}
       __a			=					{k: v for k, v in vars(UpperCamelCase      ).items() if k in keys}
       for k in keys:
         delattr(UpperCamelCase      ,							UpperCamelCase      )
       __a			=					dtype(**UpperCamelCase      )
       outputs.append(UpperCamelCase      )
     if len(namespace.__dict__      ) > 0:
       # additional namespace.
       outputs.append(UpperCamelCase      )
     if return_remaining_strings:
       return (*outputs, remaining_args)
     else:
       if remaining_args:
         raise ValueError(f"Some specified arguments are not used by the HfArgumentParser: {remaining_args}"      )

       return (*outputs,)







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      ,							UpperCamelCase = False      )				->    Tuple:
     __a			=					set(args.keys()      )
     __a			=					[]
     for dtype in self.dataclass_types:
       __a			=					{f.name for f in dataclasses.fields(UpperCamelCase      ) if f.init}
       __a			=					{k: v for k, v in args.items() if k in keys}
       unused_keys.difference_update(inputs.keys()      )
       __a			=					dtype(**UpperCamelCase      )
       outputs.append(UpperCamelCase      )
     if not allow_extra_keys and unused_keys:
       raise ValueError(f"Some keys are not used by the HfArgumentParser: {sorted(UpperCamelCase      )}"      )
     return tuple(UpperCamelCase      )







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      ,							UpperCamelCase = False      )				->    Any:







     with open(Path(UpperCamelCase      )      ,							encoding='utf-8'      ) as open_json_file:
       __a			=					json.loads(open_json_file.read()      )
     __a			=					self.parse_dict(UpperCamelCase      ,							allow_extra_keys=UpperCamelCase      )
     return tuple(UpperCamelCase      )







   def 		UpperCamelCase__			(	self      ,							UpperCamelCase      ,							UpperCamelCase = False      )				->    Any:
     __a			=					self.parse_dict(yaml.safe_load(Path(UpperCamelCase      ).read_text()      )      ,							allow_extra_keys=UpperCamelCase      )
     return tuple(UpperCamelCase      )









'''simple docstring'''


import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer


def 						SCREAMING_SNAKE_CASE       (      a_	:							Tuple			):
  # 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 >= 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       (      a_	:							str			):
  # 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 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]			):
  __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 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]				,					a_	:							set()			):
  if not chinese_word_set:
    return bert_tokens
  __a			=					max([len(a_			) for w in chinese_word_set]			)

  __a			=					bert_tokens
  __a	,       __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 						SCREAMING_SNAKE_CASE       (      a_	:							List[str]				,					a_	:							LTP				,					a_	:							BertTokenizer			):
  __a			=					[]

  for i in range(0				,					len(a_			)				,					100			):
    __a			=					ltp_tokenizer.seg(lines[i : i + 100]			)[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_			)				,					100			):
    __a			=					bert_tokenizer(lines[i : i + 100]				,					add_special_tokens=a_				,					truncation=a_				,					max_length=512			)
    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 						SCREAMING_SNAKE_CASE       (      a_	:							str			):
  # 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__":
  UpperCAmelCase_ 		=      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")

  UpperCAmelCase_ 		=      parser.parse_args()
  main(args)



