




'''simple docstring'''




from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType


class   __UpperCamelCase       ( lowerCamelCase__				):
       lowercase	:    Any      						=['image_processor', 'tokenizer']
       lowercase	:    Optional[int]      						='BridgeTowerImageProcessor'
       lowercase	:    str      						=('RobertaTokenizer', 'RobertaTokenizerFast')






       def __init__(							self,		lowerCAmelCase,		lowerCAmelCase  ):



              """simple docstring"""







              super().__init__(lowerCAmelCase,		lowerCAmelCase  )






       def __call__(							self,		lowerCAmelCase,		lowerCAmelCase = None,		lowerCAmelCase = True,		lowerCAmelCase = False,		lowerCAmelCase = None,		lowerCAmelCase = None,		lowerCAmelCase = 0,		lowerCAmelCase = None,		lowerCAmelCase = None,		lowerCAmelCase = None,		lowerCAmelCase = False,		lowerCAmelCase = False,		lowerCAmelCase = False,		lowerCAmelCase = False,		lowerCAmelCase = True,		lowerCAmelCase = None,		**lowerCAmelCase,		):



              """simple docstring"""







              lowerCamelCase_							=self.tokenizer(
                  text=lowerCAmelCase,		add_special_tokens=lowerCAmelCase,		padding=lowerCAmelCase,		truncation=lowerCAmelCase,		max_length=lowerCAmelCase,		stride=lowerCAmelCase,		pad_to_multiple_of=lowerCAmelCase,		return_token_type_ids=lowerCAmelCase,		return_attention_mask=lowerCAmelCase,		return_overflowing_tokens=lowerCAmelCase,		return_special_tokens_mask=lowerCAmelCase,		return_offsets_mapping=lowerCAmelCase,		return_length=lowerCAmelCase,		verbose=lowerCAmelCase,		return_tensors=lowerCAmelCase,		**lowerCAmelCase,		)
              # add pixel_values + pixel_mask
              lowerCamelCase_							=self.image_processor(
                  lowerCAmelCase,		return_tensors=lowerCAmelCase,		do_normalize=lowerCAmelCase,		do_center_crop=lowerCAmelCase,		**lowerCAmelCase  )
              encoding.update(lowerCAmelCase  )

              return encoding






       def      lowercase__     (							self,		*lowerCAmelCase,		**lowerCAmelCase  ):



              """simple docstring"""







              return self.tokenizer.batch_decode(*lowerCAmelCase,		**lowerCAmelCase  )






       def      lowercase__     (							self,		*lowerCAmelCase,		**lowerCAmelCase  ):



              """simple docstring"""







              return self.tokenizer.decode(*lowerCAmelCase,		**lowerCAmelCase  )






       @property
       def      lowercase__     (							self  ):



              """simple docstring"""







              lowerCamelCase_							=self.tokenizer.model_input_names
              lowerCamelCase_							=self.image_processor.model_input_names
              return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names  )  )





"""simple docstring"""






import argparse
import json
import subprocess


def 			UpperCAmelCase__       (				lowerCAmelCase__     :Tuple					,		lowerCAmelCase__     :List[Any]		) ->    Optional[Any]:
      '''simple docstring'''


      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(lowerCAmelCase__					,		shell=lowerCAmelCase__					,		stdout=subprocess.PIPE		)
      lowercase														=	output.stdout.decode("""utf-8"""		)
      lowercase														=	json.loads(lowerCAmelCase__		)

      lowercase														=	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:
            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__       (				lowerCAmelCase__     :Optional[int]		) ->    Tuple:
             '''simple docstring'''


             return values.split(""","""		)

       __lowerCAmelCase    :       str					     =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."""
       )
       __lowerCAmelCase    :       str					     =parser.parse_args()






       get_runner_status(args.target_runners, args.token)



