





import argparse
import json
import subprocess






def       _A  (      lowerCamelCase							, lowerCamelCase   ):
   a__	:						Optional[int]      		=  []

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

   a__	:						Any      		=  status["runners"]
   for runner in runners:
      if runner["name"] in target_runners:
         if runner["status"] == "offline":
            offline_runners.append(lowerCamelCase   )

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

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


if __name__ == "__main__":






  def       _A  (      lowerCamelCase   ):
     return values.split(","   )

  SCREAMING_SNAKE_CASE__       :			Optional[int]			      =						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."""
  )
  SCREAMING_SNAKE_CASE__       :			List[Any]			      =						parser.parse_args()


  get_runner_status(args.target_runners, args.token)








# Copyright 2022 The HuggingFace Team and The OpenBMB Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


SCREAMING_SNAKE_CASE__       :			int			      =						{
    """configuration_cpmant""": ["""CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CpmAntConfig"""],
    """tokenization_cpmant""": ["""CpmAntTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE__       :			List[str]			      =						[
      """CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """CpmAntForCausalLM""",
      """CpmAntModel""",
      """CpmAntPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig
  from .tokenization_cpmant import CpmAntTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_cpmant import (
        CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
        CpmAntForCausalLM,
        CpmAntModel,
        CpmAntPreTrainedModel,
    )


else:
  import sys

  SCREAMING_SNAKE_CASE__       :			Union[str, Any]			      =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

