




from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_tf_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_tf_available():
  import tensorflow as tf


lowerCAmelCase_					    = logging.get_logger(__name__)






@dataclass
class  _lowerCAmelCase     (  _lowercase	):
      A__		     =		[
          'no_inference',
          'no_cuda',
          'no_tpu',
          'no_speed',
          'no_memory',
          'no_env_print',
          'no_multi_process',
      ]

      def __init__(   self      ,				**__UpperCAmelCase		):
        for deprecated_arg in self.deprecated_args:
          if deprecated_arg in kwargs:
            lowerCAmelCase__				:  Optional[int]		       =     deprecated_arg[3:]
            lowerCAmelCase__				:  List[Any]		       =     not kwargs.pop(__UpperCAmelCase		)
            logger.warning(
                f"""{deprecated_arg} is depreciated. Please use --no-{positive_arg} or"""
                f""" {positive_arg}={kwargs[positive_arg]}"""		)
        lowerCAmelCase__				:  str		       =     kwargs.pop('''tpu_name'''      ,				self.tpu_name		)
        lowerCAmelCase__				:  Union[str, Any]		       =     kwargs.pop('''device_idx'''      ,				self.device_idx		)
        lowerCAmelCase__				:  Tuple		       =     kwargs.pop('''eager_mode'''      ,				self.eager_mode		)
        lowerCAmelCase__				:  int		       =     kwargs.pop('''use_xla'''      ,				self.use_xla		)
        super().__init__(**__UpperCAmelCase		)

      A__		     =		field(
          default=_lowercase    ,			metadata={'help': 'Name of TPU'}    ,			)
      A__		     =		field(
          default=0    ,			metadata={'help': 'CPU / GPU device index. Defaults to 0.'}    ,			)
      A__		     =		field(default=_lowercase    ,			metadata={'help': 'Benchmark models in eager model.'}	)
      A__		     =		field(
          default=_lowercase    ,			metadata={
              'help': 'Benchmark models using XLA JIT compilation. Note that `eager_model` has to be set to `False`.'
          }    ,			)

      @cached_property
      def 	__magic_name__(   self		):
        requires_backends(self      ,				['''tf''']		)
        lowerCAmelCase__				:  Optional[Any]		       =     None
        if self.tpu:
          try:
            if self.tpu_name:
              lowerCAmelCase__				:  Optional[Any]		       =     tf.distribute.cluster_resolver.TPUClusterResolver(self.tpu_name		)
            else:
              lowerCAmelCase__				:  Any		       =     tf.distribute.cluster_resolver.TPUClusterResolver()
          except ValueError:
            lowerCAmelCase__				:  Any		       =     None
        return tpu

      @cached_property
      def 	__magic_name__(   self		):
        requires_backends(self      ,				['''tf''']		)
        if self.is_tpu:
          tf.config.experimental_connect_to_cluster(self._setup_tpu		)
          tf.tpu.experimental.initialize_tpu_system(self._setup_tpu		)

          lowerCAmelCase__				:  List[Any]		       =     tf.distribute.TPUStrategy(self._setup_tpu		)
        else:
          # currently no multi gpu is allowed
          if self.is_gpu:
            # TODO: Currently only single GPU is supported
            tf.config.set_visible_devices(self.gpu_list[self.device_idx]      ,				'''GPU'''		)
            lowerCAmelCase__				:  Optional[Any]		       =     tf.distribute.OneDeviceStrategy(device=f"""/gpu:{self.device_idx}"""		)
          else:
            tf.config.set_visible_devices([]      ,				'''GPU'''		)  # disable GPU
            lowerCAmelCase__				:  int		       =     tf.distribute.OneDeviceStrategy(device=f"""/cpu:{self.device_idx}"""		)

        return strategy

      @property
      def 	__magic_name__(   self		):
        requires_backends(self      ,				['''tf''']		)
        return self._setup_tpu is not None

      @property
      def 	__magic_name__(   self		):
        requires_backends(self      ,				['''tf''']		)
        return self._setup_strategy

      @property
      def 	__magic_name__(   self		):
        requires_backends(self      ,				['''tf''']		)
        return tf.config.list_physical_devices('''GPU'''		)

      @property
      def 	__magic_name__(   self		):
        requires_backends(self      ,				['''tf''']		)
        if self.cuda:
          return len(self.gpu_list		)
        return 0







      @property
      def 	__magic_name__(   self		):
        return self.n_gpu > 0







import os
from datetime import datetime as dt

from github import Github


lowerCAmelCase_					    = [
    """good first issue""",
    """good second issue""",
    """good difficult issue""",
    """enhancement""",
    """new pipeline/model""",
    """new scheduler""",
    """wip""",
]



def      __lowerCAmelCase			(					)     ->	List[Any]:
  lowerCAmelCase__				:  str		       =     Github(os.environ['''GITHUB_TOKEN''']      )
  lowerCAmelCase__				:  str		       =     g.get_repo('''huggingface/diffusers'''      )
  lowerCAmelCase__				:  List[str]		       =     repo.get_issues(state='''open'''      )

  for issue in open_issues:
    lowerCAmelCase__				:  Optional[Any]		       =     sorted(issue.get_comments()	,      key=lambda UpperCamelCase      : i.created_at	,      reverse=UpperCamelCase      )
    lowerCAmelCase__				:  int		       =     comments[0] if len(UpperCamelCase      ) > 0 else None
    if (
        last_comment is not None
        and last_comment.user.login == "github-actions[bot]"
        and (dt.utcnow() - issue.updated_at).days > 7
        and (dt.utcnow() - issue.created_at).days >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
    ):
      # Closes the issue after 7 days of inactivity since the Stalebot notification.
      issue.edit(state='''closed'''      )
    elif (
        "stale" in issue.get_labels()
        and last_comment is not None
        and last_comment.user.login != "github-actions[bot]"
    ):
      # Opens the issue if someone other than Stalebot commented.
      issue.edit(state='''open'''      )
      issue.remove_from_labels('''stale'''      )
    elif (
        (dt.utcnow() - issue.updated_at).days > 23
        and (dt.utcnow() - issue.created_at).days >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
    ):
      # Post a Stalebot notification after 23 days of inactivity.
      issue.create_comment(
          '''This issue has been automatically marked as stale because it has not had '''
          '''recent activity. If you think this still needs to be addressed '''
          '''please comment on this thread.\n\nPlease note that issues that do not follow the '''
          '''[contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) '''
          '''are likely to be ignored.'''      )
      issue.add_to_labels('''stale'''      )


if __name__ == "__main__":
     main()

