
'''simple docstring'''







import json
import os
from datetime import date
from pathlib import Path

from tabulate import DataRow, TableFormat, tabulate


__lowerCAmelCase         =    TableFormat(
    lineabove=None,
    linebelowheader=None,
    linebetweenrows=None,
    linebelow=None,
    headerrow=DataRow("""""", """|""", """|"""),
    datarow=DataRow("""""", """|""", """|"""),
    padding=1,
    with_header_hide=None,
)


__lowerCAmelCase         =    []
__lowerCAmelCase         =    []

__lowerCAmelCase         =    {"""type""": """section""", """text""": {"""type""": """plain_text""", """text""": """No failed tests! 🤗""", """emoji""": True}}

__lowerCAmelCase         =    [
    {
        """type""": """header""",
        """text""": {
            """type""": """plain_text""",
            """text""": f'''🤗 Accelerate nightly {os.environ.get('TEST_TYPE', '')} test results''',
            """emoji""": True,
        },
    }
]

__lowerCAmelCase         =    0
for log in Path().glob("""*.log"""):
  __lowerCAmelCase         =    0
  with open(log, """r""") as f:
    for line in f:
      __lowerCAmelCase         =    json.loads(line)
      if line.get("""nodeid""", """""") != "":
        __lowerCAmelCase         =    line["""nodeid"""]
        if line.get("""duration""", None) is not None:
          __lowerCAmelCase         =    f'''{line['duration']:.4f}'''
          if line.get("""outcome""", """""") == "failed":
            section_num_failed += 1
            failed.append([test, duration, log.name.split("""_""")[0]])
            total_num_failed += 1
  group_info.append([str(log), section_num_failed, failed])
  __lowerCAmelCase         =    []
  log.unlink()

__lowerCAmelCase         =    """"""
__lowerCAmelCase         =    []
if total_num_failed > 0:
  for name, num_failed, failed_tests in group_info:
    if num_failed > 0:
      if num_failed == 1:
        message += f"*{name[1:]}: {num_failed} failed test*\n"
      else:
        message += f"*{name[1:]}: {num_failed} failed tests*\n"
      __lowerCAmelCase         =    []
      __lowerCAmelCase         =    {}
      for test in failed_tests:
        __lowerCAmelCase         =    test[0].split("""::""")
        __lowerCAmelCase         =    data[0].split("""/""")[-1]
        if data[0] not in filesafailed:
          __lowerCAmelCase         =    [data[1:]]
        else:
          filesafailed[data[0]] += [data[1:]]
        failed_table.append(data)

      __lowerCAmelCase         =    [test[0] for test in failed_table]
      __lowerCAmelCase         =    list(set(files))
      # Count number of instances in failed_tests
      __lowerCAmelCase         =    []
      for file in individual_files:
        table.append([file, len(filesafailed[file])])

      __lowerCAmelCase         =    tabulate(
          table,
          headers=["""Test Location""", """Num Failed"""],
          tablefmt=hf_table_format,
          stralign="""right""",
      )
      message += f"\n```\n{failed_table}\n```"
      all_filesafailed.append(filesafailed)
  if len(message) > 3_0_0_0:
    __lowerCAmelCase         =    """Too many failed tests, please see the full report in the Action results."""
    __lowerCAmelCase         =    len(err) + 1_0
    __lowerCAmelCase         =    message[: 3_0_0_0 - offset] + f'''\n...\n```\n{err}'''
  print(f'''### {message}''')
else:
  __lowerCAmelCase         =    """No failed tests! 🤗"""
  print(f'''## {message}''')
  payload.append(no_error_payload)

if os.environ.get("""TEST_TYPE""", """""") != "":
  from slack_sdk import WebClient

  __lowerCAmelCase         =    WebClient(token=os.environ["""SLACK_API_TOKEN"""])
  if message != "No failed tests! 🤗":
    __lowerCAmelCase         =    {
        """type""": """section""",
        """text""": {
            """type""": """mrkdwn""",
            """text""": message,
        },
    }
    payload.append(md_report)
    __lowerCAmelCase         =    {
        """type""": """section""",
        """text""": {
            """type""": """mrkdwn""",
            """text""": """*For more details:*""",
        },
        """accessory""": {
            """type""": """button""",
            """text""": {
                """type""": """plain_text""",
                """text""": """Check Action results""",
                """emoji""": True,
            },
            """url""": f'''https://github.com/{os.environ['GITHUB_REPOSITORY']}/actions/runs/{os.environ['GITHUB_RUN_ID']}''',
        },
    }
    payload.append(action_button)
    __lowerCAmelCase         =    {
        """type""": """context""",
        """elements""": [
            {
                """type""": """plain_text""",
                """text""": f'''Nightly {os.environ.get('TEST_TYPE')} test results for {date.today()}''',
            }
        ],
    }
    payload.append(date_report)
  __lowerCAmelCase         =    client.chat_postMessage(channel="""#accelerate-ci-daily""", text=message, blocks=payload)
  __lowerCAmelCase         =    response.data["""ts"""]
  for failed_file in all_filesafailed:
    for test_location, test_failures in failed_file.items():
      # Keep only the first instance of the test name
      __lowerCAmelCase         =    """"""
      for i, row in enumerate(test_failures):
        if row[0] != test_class:
          __lowerCAmelCase         =    row[0]
        else:
          __lowerCAmelCase         =    """"""

      __lowerCAmelCase         =    {
          """type""": """section""",
          """text""": {
              """type""": """mrkdwn""",
              """text""": f'''Test location: {test_location}\n```\n{tabulate(test_failures, headers=['Class', 'Test'], tablefmt=hf_table_format, stralign='right')}\n```''',
          },
      }

      client.chat_postMessage(
          channel="""#accelerate-ci-daily""",
          thread_ts=ts,
          blocks=[payload],
      )





'''simple docstring'''







import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer





def 					UpperCAmelCase_		(__a      :    List[Any] ):






   """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 					UpperCAmelCase_		(__a      :    str ):






   """simple docstring"""

   for char in word:
      _a				:	Union[str, Any]			=   ord(__a )
      if not _is_chinese_char(__a ):
         return 0
   return 1





def 					UpperCAmelCase_		(__a      :    List[str] ):






   """simple docstring"""

   _a				:	Dict			=   set()

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





def 					UpperCAmelCase_		(__a      :    List[str] ,	__a      :    set() ):






   """simple docstring"""

   if not chinese_word_set:
      return bert_tokens
   _a				:	Optional[Any]			=   max([len(__a ) for w in chinese_word_set] )

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





def 					UpperCAmelCase_		(__a      :    List[str] ,	__a      :    LTP ,	__a      :    BertTokenizer ):






   """simple docstring"""

   _a				:	int			=   []

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

   _a				:	str			=   []
   for i in range(0 ,	len(__a ) ,	1_0_0 ):
      _a				:	List[str]			=   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				:	List[str]			=   []
   for input_ids, chinese_word in zip(__a ,	__a ):
      _a				:	int			=   []
      for id in input_ids:
         _a				:	Optional[int]			=   bert_tokenizer._convert_id_to_token(__a )
         input_tokens.append(__a )
      _a				:	List[str]			=   add_sub_symbol(__a ,	__a )
      _a				:	Tuple			=   []
      # 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				:	str			=   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 					UpperCAmelCase_		(__a      :    Optional[Any] ):






   """simple docstring"""

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

   _a				:	int			=   prepare_ref(__a ,	__a ,	__a )

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


if __name__ == "__main__":
  __lowerCAmelCase         =    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""")

  __lowerCAmelCase         =    parser.parse_args()
  main(args)



