





import argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format="""%(asctime)s - %(levelname)s - %(name)s - %(message)s""", datefmt="""%m/%d/%Y %H:%M:%S""", level=logging.INFO
)
lowercase_					     =	logging.getLogger(__name__)




def     __UpperCamelCase						()       ->     str:
  lowercase__			    =						argparse.ArgumentParser(
      description='Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids).'	)
  parser.add_argument('--file_path'	,		type=_SCREAMING_SNAKE_CASE	,		default='data/dump.txt'	,		help='The path to the data.'	)
  parser.add_argument('--tokenizer_type'	,		type=_SCREAMING_SNAKE_CASE	,		default='bert'	,		choices=['bert', 'roberta', 'gpt2']	)
  parser.add_argument('--tokenizer_name'	,		type=_SCREAMING_SNAKE_CASE	,		default='bert-base-uncased'	,		help='The tokenizer to use.'	)
  parser.add_argument('--dump_file'	,		type=_SCREAMING_SNAKE_CASE	,		default='data/dump'	,		help='The dump file prefix.'	)
  lowercase__			    =						parser.parse_args()

  logger.info(F"""Loading Tokenizer ({args.tokenizer_name})"""	)
  if args.tokenizer_type == "bert":
    lowercase__			    =						BertTokenizer.from_pretrained(args.tokenizer_name	)
    lowercase__			    =						tokenizer.special_tokens_map['cls_token']  # `[CLS]`
    lowercase__			    =						tokenizer.special_tokens_map['sep_token']  # `[SEP]`
  elif args.tokenizer_type == "roberta":
    lowercase__			    =						RobertaTokenizer.from_pretrained(args.tokenizer_name	)
    lowercase__			    =						tokenizer.special_tokens_map['cls_token']  # `<s>`
    lowercase__			    =						tokenizer.special_tokens_map['sep_token']  # `</s>`
  elif args.tokenizer_type == "gpt2":
    lowercase__			    =						GPTaTokenizer.from_pretrained(args.tokenizer_name	)
    lowercase__			    =						tokenizer.special_tokens_map['bos_token']  # `<|endoftext|>`
    lowercase__			    =						tokenizer.special_tokens_map['eos_token']  # `<|endoftext|>`

  logger.info(F"""Loading text from {args.file_path}"""	)
  with open(args.file_path	,		'r'	,		encoding='utf8'	) as fp:
    lowercase__			    =						fp.readlines()

  logger.info('Start encoding'	)
  logger.info(F"""{len(_SCREAMING_SNAKE_CASE	)} examples to process."""	)

  lowercase__			    =						[]
  lowercase__			    =						0
  lowercase__			    =						10000
  lowercase__			    =						time.time()
  for text in data:
    lowercase__			    =						F"""{bos} {text.strip()} {sep}"""
    lowercase__			    =						tokenizer.encode(_SCREAMING_SNAKE_CASE	,		add_special_tokens=_SCREAMING_SNAKE_CASE	)
    rslt.append(_SCREAMING_SNAKE_CASE	)

    iter += 1
    if iter % interval == 0:
      lowercase__			    =						time.time()
      logger.info(F"""{iter} examples processed. - {(end-start):.2f}s/{interval}expl"""	)
      lowercase__			    =						time.time()
  logger.info('Finished binarization'	)
  logger.info(F"""{len(_SCREAMING_SNAKE_CASE	)} examples processed."""	)

  lowercase__			    =						F"""{args.dump_file}.{args.tokenizer_name}.pickle"""
  lowercase__			    =						tokenizer.vocab_size
  if vocab_size < (1 << 16):
    lowercase__			    =						[np.uintaa(_SCREAMING_SNAKE_CASE	) for d in rslt]
  else:
    lowercase__			    =						[np.intaa(_SCREAMING_SNAKE_CASE	) for d in rslt]
  random.shuffle(rslt_	)
  logger.info(F"""Dump to {dp_file}"""	)
  with open(_SCREAMING_SNAKE_CASE	,		'wb'	) as handle:
    pickle.dump(rslt_	,		_SCREAMING_SNAKE_CASE	,		protocol=pickle.HIGHEST_PROTOCOL	)


if __name__ == "__main__":
      main()











import argparse
import json
import subprocess




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     Optional[int]:
  lowercase__			    =						[]

  lowercase__			    =						(
      F"""curl -H \"Accept: application/vnd.github+json\" -H \"Authorization: Bearer {token}\""""
      ' https://api.github.com/repos/huggingface/transformers/actions/runners'
  )
  lowercase__			    =						subprocess.run(_SCREAMING_SNAKE_CASE	,		shell=_SCREAMING_SNAKE_CASE	,		stdout=subprocess.PIPE	)
  lowercase__			    =						output.stdout.decode('utf-8'	)
  lowercase__			    =						json.loads(_SCREAMING_SNAKE_CASE	)

  lowercase__			    =						status['runners']
  for runner in runners:
    if runner["name"] in target_runners:
      if runner["status"] == "offline":
        offline_runners.append(_SCREAMING_SNAKE_CASE	)

    # save the result so we can report them on Slack
  with open('offline_runners.txt'	,		'w'	) as fp:
    fp.write(json.dumps(_SCREAMING_SNAKE_CASE	)	)

  if len(_SCREAMING_SNAKE_CASE	) > 0:
    lowercase__			    =						'\n'.join([x['name'] for x in offline_runners]	)
    raise ValueError(F"""The following runners are offline:\n{failed}"""	)


if __name__ == "__main__":




      def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	)       ->     str:
        return values.split(','	)

      lowercase_					     =	argparse.ArgumentParser()
      # Required parameters
      parser.add_argument(
          """--target_runners""",
          default=None,
          type=list_str,
          required=True,
          help="""Comma-separated list of runners to check status.""",
      )

      parser.add_argument(
          """--token""", default=None, type=str, required=True, help="""A token that has actions:read permission."""
      )
      lowercase_					     =	parser.parse_args()


      get_runner_status(args.target_runners, args.token)


