


import os
import zipfile

import pytest

from datasets.utils.extract import (
    BzipaExtractor,
    Extractor,
    GzipExtractor,
    LzaExtractor,
    SevenZipExtractor,
    TarExtractor,
    XzExtractor,
    ZipExtractor,
    ZstdExtractor,
)

from .utils import require_lza, require_pyazr, require_zstandard
@pytest.mark.parametrize(
    """compression_format, is_archive"""	,    [
        ("""7z""", True),
        ("""bz2""", False),
        ("""gzip""", False),
        ("""lz4""", False),
        ("""tar""", True),
        ("""xz""", False),
        ("""zip""", True),
        ("""zstd""", False),
    ]	,    )
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    )    ->List[str]:
   UpperCAmelCase      					=  {
       """7z""": (seven_zip_file, SevenZipExtractor),
       """bz2""": (bza_file, BzipaExtractor),
       """gzip""": (gz_file, GzipExtractor),
       """lz4""": (lza_file, LzaExtractor),
       """tar""": (tar_file, TarExtractor),
       """xz""": (xz_file, XzExtractor),
       """zip""": (zip_file, ZipExtractor),
       """zstd""": (zstd_file, ZstdExtractor),
   }
   UpperCAmelCase					,	UpperCAmelCase      					=  input_paths_and_base_extractors[compression_format]
   if input_path is None:
      UpperCAmelCase      					=  F"""for '{compression_format}' compression_format, """
      if compression_format == "7z":
         reason += require_pyazr.kwargs["reason"]
      elif compression_format == "lz4":
         reason += require_lza.kwargs["reason"]
      elif compression_format == "zstd":
         reason += require_zstandard.kwargs["reason"]
      pytest.skip(lowerCAmelCase_ )
   assert base_extractor.is_extractable(lowerCAmelCase_ )
   UpperCAmelCase      					=  tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
   base_extractor.extract(lowerCAmelCase_	,    lowerCAmelCase_ )
   if is_archive:
      assert output_path.is_dir()
      for file_path in output_path.iterdir():
         assert file_path.name == text_file.name
         UpperCAmelCase      					=  file_path.read_text(encoding="""utf-8""" )
   else:
      UpperCAmelCase      					=  output_path.read_text(encoding="""utf-8""" )
   UpperCAmelCase      					=  text_file.read_text(encoding="""utf-8""" )
   assert extracted_file_content == expected_file_content
@pytest.mark.parametrize(
    """compression_format, is_archive"""	,    [
        ("""7z""", True),
        ("""bz2""", False),
        ("""gzip""", False),
        ("""lz4""", False),
        ("""tar""", True),
        ("""xz""", False),
        ("""zip""", True),
        ("""zstd""", False),
    ]	,    )
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    )    ->List[str]:
   UpperCAmelCase      					=  {
       """7z""": seven_zip_file,
       """bz2""": bza_file,
       """gzip""": gz_file,
       """lz4""": lza_file,
       """tar""": tar_file,
       """xz""": xz_file,
       """zip""": zip_file,
       """zstd""": zstd_file,
   }
   UpperCAmelCase      					=  input_paths[compression_format]
   if input_path is None:
      UpperCAmelCase      					=  F"""for '{compression_format}' compression_format, """
      if compression_format == "7z":
         reason += require_pyazr.kwargs["reason"]
      elif compression_format == "lz4":
         reason += require_lza.kwargs["reason"]
      elif compression_format == "zstd":
         reason += require_zstandard.kwargs["reason"]
      pytest.skip(lowerCAmelCase_ )
   UpperCAmelCase      					=  Extractor.infer_extractor_format(lowerCAmelCase_ )
   assert extractor_format is not None
   UpperCAmelCase      					=  tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
   Extractor.extract(lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_ )
   if is_archive:
      assert output_path.is_dir()
      for file_path in output_path.iterdir():
         assert file_path.name == text_file.name
         UpperCAmelCase      					=  file_path.read_text(encoding="""utf-8""" )
   else:
      UpperCAmelCase      					=  output_path.read_text(encoding="""utf-8""" )
   UpperCAmelCase      					=  text_file.read_text(encoding="""utf-8""" )
   assert extracted_file_content == expected_file_content
@pytest.fixture
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_ )    ->Tuple:
   import tarfile

   UpperCAmelCase      					=  tmp_path / """data_dot_dot"""
   directory.mkdir()
   UpperCAmelCase      					=  directory / """tar_file_with_dot_dot.tar"""
   with tarfile.TarFile(lowerCAmelCase_	,    """w""" ) as f:
      f.add(lowerCAmelCase_	,    arcname=os.path.join(""".."""	,    text_file.name ) )
   return path
@pytest.fixture
def 	_UpperCamelCase					(    lowerCAmelCase_ )    ->List[Any]:
   import tarfile

   UpperCAmelCase      					=  tmp_path / """data_sym_link"""
   directory.mkdir()
   UpperCAmelCase      					=  directory / """tar_file_with_sym_link.tar"""
   os.symlink(""".."""	,    directory / """subdir"""	,    target_is_directory=lowerCAmelCase_ )
   with tarfile.TarFile(lowerCAmelCase_	,    """w""" ) as f:
      f.add(str(directory / """subdir""" )	,    arcname="""subdir""" )  # str required by os.readlink on Windows and Python < 3.8
   return path
@pytest.mark.parametrize(
    """insecure_tar_file, error_log"""	,    [("""tar_file_with_dot_dot""", """illegal path"""), ("""tar_file_with_sym_link""", """Symlink""")]	,    )
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_ )    ->List[Any]:
   UpperCAmelCase      					=  {
       """tar_file_with_dot_dot""": tar_file_with_dot_dot,
       """tar_file_with_sym_link""": tar_file_with_sym_link,
   }
   UpperCAmelCase      					=  insecure_tar_files[insecure_tar_file]
   UpperCAmelCase      					=  tmp_path / """extracted"""
   TarExtractor.extract(lowerCAmelCase_	,    lowerCAmelCase_ )
   assert caplog.text
   for record in caplog.records:
      assert record.levelname == "ERROR"
      assert error_log in record.msg







def 	_UpperCamelCase					(    lowerCAmelCase_ )    ->int:
   # We should have less false positives than zipfile.is_zipfile
   # We do that by checking only the magic number
   UpperCAmelCase      					=  tmpdir / """not_a_zip_file"""
   # From: https://github.com/python/cpython/pull/5053
   UpperCAmelCase      					=  (
       b"""\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00"""
       b"""\x00\x02\x08\x06\x00\x00\x00\x99\x81\xb6'\x00\x00\x00\x15I"""
       b"""DATx\x01\x01\n\x00\xf5\xff\x00PK\x05\x06\x00PK\x06\x06\x07"""
       b"""\xac\x01N\xc6|a\r\x00\x00\x00\x00IEND\xaeB`\x82"""
   )
   with not_a_zip_file.open("""wb""" ) as f:
      f.write(lowerCAmelCase_ )
   assert zipfile.is_zipfile(str(lowerCAmelCase_ ) )  # is a false positive for `zipfile`
   assert not ZipExtractor.is_extractable(lowerCAmelCase_ )  # but we're right







import argparse
import json
from typing import List

from ltp import LTP

from transformers.models.bert.tokenization_bert 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_ )    ->List[str]:
   # word like '180' or '身高' or '神'
   for char in word:
      UpperCAmelCase      					=  ord(lowerCAmelCase_ )
      if not _is_chinese_char(lowerCAmelCase_ ):
         return 0
   return 1
def 	_UpperCamelCase					(    lowerCAmelCase_ )    ->Optional[int]:
   UpperCAmelCase      					=  set()

   for token in tokens:
      UpperCAmelCase      					=  len(lowerCAmelCase_ ) > 1 and is_chinese(lowerCAmelCase_ )
      if chinese_word:
         word_set.add(lowerCAmelCase_ )
   UpperCAmelCase      					=  list(lowerCAmelCase_ )
   return word_list
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_ )    ->Union[str, Any]:
   if not chinese_word_set:
      return bert_tokens
   UpperCAmelCase      					=  max([len(lowerCAmelCase_ ) for w in chinese_word_set] )

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

   for i in range(0	,    len(lowerCAmelCase_ )	,    1_0_0 ):
      UpperCAmelCase      					=  ltp_tokenizer.pipeline(lines[i : i + 1_0_0]	,    tasks=["""cws"""] ).cws
      UpperCAmelCase      					=  [get_chinese_word(lowerCAmelCase_ ) for r in res]
      ltp_res.extend(lowerCAmelCase_ )
   assert len(lowerCAmelCase_ ) == len(lowerCAmelCase_ )

   UpperCAmelCase      					=  []
   for i in range(0	,    len(lowerCAmelCase_ )	,    1_0_0 ):
      UpperCAmelCase      					=  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_ )

   UpperCAmelCase      					=  []
   for input_ids, chinese_word in zip(lowerCAmelCase_	,    lowerCAmelCase_ ):
      UpperCAmelCase      					=  []
      for id in input_ids:
         UpperCAmelCase      					=  bert_tokenizer._convert_id_to_token(lowerCAmelCase_ )
         input_tokens.append(lowerCAmelCase_ )
      UpperCAmelCase      					=  add_sub_symbol(lowerCAmelCase_	,    lowerCAmelCase_ )
      UpperCAmelCase      					=  []
      # 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] == "##":
            UpperCAmelCase      					=  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_ )    ->int:
   # 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:
      UpperCAmelCase      					=  f.readlines()
   UpperCAmelCase      					=  [line.strip() for line in data if len(lowerCAmelCase_ ) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
   UpperCAmelCase      					=  LTP(args.ltp )  # faster in GPU device
   UpperCAmelCase      					=  BertTokenizer.from_pretrained(args.bert )

   UpperCAmelCase      					=  prepare_ref(lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_ )

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


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)



