import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer




def        __UpperCamelCase					(    lowerCAmelCase__							:    Optional[Any]  ):
 # 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 >= 0x4_E_0_0 and cp <= 0x9_F_F_F)
     or (cp >= 0x3_4_0_0 and cp <= 0x4_D_B_F)  #
     or (cp >= 0x2_0_0_0_0 and cp <= 0x2_A_6_D_F)  #
     or (cp >= 0x2_A_7_0_0 and cp <= 0x2_B_7_3_F)  #
     or (cp >= 0x2_B_7_4_0 and cp <= 0x2_B_8_1_F)  #
     or (cp >= 0x2_B_8_2_0 and cp <= 0x2_C_E_A_F)  #
     or (cp >= 0xF_9_0_0 and cp <= 0xF_A_F_F)
     or (cp >= 0x2_F_8_0_0 and cp <= 0x2_F_A_1_F)  #
 ):  #
  return True

 return False




def        __UpperCamelCase					(    lowerCAmelCase__							:    str  ):
 # word like '180' or '身高' or '神'
 for char in word:
  __a			:  Tuple		    =  ord(lowerCAmelCase__  )
  if not _is_chinese_char(lowerCAmelCase__  ):
   return 0
 return 1




def        __UpperCamelCase					(    lowerCAmelCase__							:    List[str]  ):
 __a			:  int		    =  set()

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




def        __UpperCamelCase					(    lowerCAmelCase__							:    List[str]  ,       lowerCAmelCase__							:    set()  ):
 if not chinese_word_set:
  return bert_tokens
 __a			:  str		    =  max([len(lowerCAmelCase__  ) for w in chinese_word_set]  )

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




def        __UpperCamelCase					(    lowerCAmelCase__							:    List[str]  ,       lowerCAmelCase__							:    LTP  ,       lowerCAmelCase__							:    BertTokenizer  ):
 __a			:  str		    =  []

 for i in range(0  ,       len(lowerCAmelCase__  )  ,       1_0_0  ):
  __a			:  Dict		    =  ltp_tokenizer.seg(lines[i : i + 1_0_0]  )[0]
  __a			:  str		    =  [get_chinese_word(lowerCAmelCase__  ) for r in res]
  ltp_res.extend(lowerCAmelCase__  )
 assert len(lowerCAmelCase__  ) == len(lowerCAmelCase__  )

 __a			:  List[Any]		    =  []
 for i in range(0  ,       len(lowerCAmelCase__  )  ,       1_0_0  ):
  __a			:  Dict		    =  bert_tokenizer(lines[i : i + 1_0_0]  ,       add_special_tokens=lowerCAmelCase__  ,       truncation=lowerCAmelCase__  ,       max_length=5_1_2  )
  bert_res.extend(res['''input_ids''']  )
 assert len(lowerCAmelCase__  ) == len(lowerCAmelCase__  )

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

 assert len(lowerCAmelCase__  ) == len(lowerCAmelCase__  )

 return ref_ids




def        __UpperCamelCase					(    lowerCAmelCase__							:    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			:  Optional[Any]		    =  f.readlines()
 __a			:  Tuple		    =  [line.strip() for line in data if len(lowerCAmelCase__  ) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
 __a			:  str		    =  LTP(args.ltp  )  # faster in GPU device
 __a			:  Optional[int]		    =  BertTokenizer.from_pretrained(args.bert  )

 __a			:  Union[str, Any]		    =  prepare_ref(lowerCAmelCase__  ,       lowerCAmelCase__  ,       lowerCAmelCase__  )

 with open(args.save_path  ,       '''w'''  ,       encoding='''utf-8'''  ) as f:
  __a			:  Dict		    =  [json.dumps(lowerCAmelCase__  ) + '''\n''' for ref in ref_ids]
  f.writelines(lowerCAmelCase__  )


if __name__ == "__main__":
      lowercase__          =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')

      lowercase__          =parser.parse_args()
      main(args)


import argparse
import os
import re

import packaging.version


lowercase__          ='examples/'
lowercase__          ={
    'examples': (re.compile(R'^check_min_version\("[^"]+"\)\s*$', re.MULTILINE), 'check_min_version("VERSION")\n'),
    'init': (re.compile(R'^__version__\s+=\s+"([^"]+)"\s*$', re.MULTILINE), '__version__ = "VERSION"\n'),
    'setup': (re.compile(R'^(\s*)version\s*=\s*"[^"]+",', re.MULTILINE), R'\1version="VERSION",'),
    'doc': (re.compile(R'^(\s*)release\s*=\s*"[^"]+"$', re.MULTILINE), 'release = "VERSION"\n'),
}
lowercase__          ={
    'init': 'src/transformers/__init__.py',
    'setup': 'setup.py',
}
lowercase__          ='README.md'




def        __UpperCamelCase					(    lowerCAmelCase__							:    List[Any]  ,       lowerCAmelCase__							:    Dict  ,       lowerCAmelCase__							:    Tuple  ):
 with open(lowerCAmelCase__  ,       '''r'''  ,       encoding='''utf-8'''  ,       newline='''\n'''  ) as f:
  __a			:  Tuple		    =  f.read()
 __a    ,	__a			:  Optional[int]		    =  REPLACE_PATTERNS[pattern]
 __a			:  List[Any]		    =  replace.replace('''VERSION'''  ,       lowerCAmelCase__  )
 __a			:  Any		    =  re_pattern.sub(lowerCAmelCase__  ,       lowerCAmelCase__  )
 with open(lowerCAmelCase__  ,       '''w'''  ,       encoding='''utf-8'''  ,       newline='''\n'''  ) as f:
  f.write(lowerCAmelCase__  )




def        __UpperCamelCase					(    lowerCAmelCase__							:    Tuple  ):
 for folder, directories, fnames in os.walk(lowerCAmelCase__  ):
  # Removing some of the folders with non-actively maintained examples from the walk
  if "research_projects" in directories:
   directories.remove('''research_projects'''  )
  if "legacy" in directories:
   directories.remove('''legacy'''  )
  for fname in fnames:
   if fname.endswith('''.py'''  ):
    update_version_in_file(os.path.join(lowerCAmelCase__  ,       lowerCAmelCase__  )  ,       lowerCAmelCase__  ,       pattern='''examples'''  )




def        __UpperCamelCase					(    lowerCAmelCase__							:    Optional[int]  ,       lowerCAmelCase__							:    Dict=False  ):
 for pattern, fname in REPLACE_FILES.items():
  update_version_in_file(lowerCAmelCase__  ,       lowerCAmelCase__  ,       lowerCAmelCase__  )
 if not patch:
  update_version_in_examples(lowerCAmelCase__  )




def        __UpperCamelCase					(    ):
 __a			:  Optional[int]		    =  '''🤗 Transformers currently provides the following architectures'''
 __a			:  int		    =  '''1. Want to contribute a new model?'''
 with open(lowerCAmelCase__  ,       '''r'''  ,       encoding='''utf-8'''  ,       newline='''\n'''  ) as f:
  __a			:  Tuple		    =  f.readlines()

 # Find the start of the list.
 __a			:  Optional[int]		    =  0
 while not lines[start_index].startswith(_start_prompt  ):
  start_index += 1
 start_index += 1

 __a			:  Any		    =  start_index
 # Update the lines in the model list.
 while not lines[index].startswith(_end_prompt  ):
  if lines[index].startswith('''1.'''  ):
   __a			:  str		    =  lines[index].replace(
       '''https://huggingface.co/docs/transformers/main/model_doc'''  ,       '''https://huggingface.co/docs/transformers/model_doc'''  ,       )
  index += 1

 with open(lowerCAmelCase__  ,       '''w'''  ,       encoding='''utf-8'''  ,       newline='''\n'''  ) as f:
  f.writelines(lowerCAmelCase__  )




def        __UpperCamelCase					(    ):
 with open(REPLACE_FILES['''init''']  ,       '''r'''  ) as f:
  __a			:  Optional[int]		    =  f.read()
 __a			:  str		    =  REPLACE_PATTERNS['''init'''][0].search(lowerCAmelCase__  ).groups()[0]
 return packaging.version.parse(lowerCAmelCase__  )




def        __UpperCamelCase					(    lowerCAmelCase__							:    Union[str, Any]=False  ):
 __a			:  str		    =  get_version()
 if patch and default_version.is_devrelease:
  raise ValueError('''Can\'t create a patch version from the dev branch, checkout a released version!'''  )
 if default_version.is_devrelease:
  __a			:  Union[str, Any]		    =  default_version.base_version
 elif patch:
  __a			:  Tuple		    =  f"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
 else:
  __a			:  List[str]		    =  f"{default_version.major}.{default_version.minor + 1}.0"

 # Now let's ask nicely if that's the right one.
 __a			:  List[str]		    =  input(f"Which version are you releasing? [{default_version}]"  )
 if len(lowerCAmelCase__  ) == 0:
  __a			:  Tuple		    =  default_version

 print(f"Updating version to {version}."  )
 global_version_update(lowerCAmelCase__  ,       patch=lowerCAmelCase__  )
 if not patch:
  print('''Cleaning main README, don\'t forget to run `make fix-copies`.'''  )
  clean_main_ref_in_model_list()




def        __UpperCamelCase					(    ):
 __a			:  Dict		    =  get_version()
 __a			:  str		    =  f"{current_version.major}.{current_version.minor + 1}.0.dev0"
 __a			:  Any		    =  current_version.base_version

 # Check with the user we got that right.
 __a			:  Any		    =  input(f"Which version are we developing now? [{dev_version}]"  )
 if len(lowerCAmelCase__  ) == 0:
  __a			:  Any		    =  dev_version

 print(f"Updating version to {version}."  )
 global_version_update(lowerCAmelCase__  )
 print('''Cleaning main README, don\'t forget to run `make fix-copies`.'''  )
 clean_main_ref_in_model_list()


if __name__ == "__main__":
      lowercase__          =argparse.ArgumentParser()
      parser.add_argument('--post_release', action='store_true', help='Whether this is pre or post release.')
      parser.add_argument('--patch', action='store_true', help='Whether or not this is a patch release.')
      lowercase__          =parser.parse_args()
      if not args.post_release:
            pre_release_work(patch=args.patch)
      elif args.patch:
            print('Nothing to do after a patch :-)')
      else:
            post_release_work()
