"""simple docstring"""


import os
from datetime import datetime as dt

from github import Github


UpperCAmelCase__			=    [
    """good first issue""",
    """feature request""",
    """wip""",
]






def      __UpperCAmelCase       (      ):







  """simple docstring"""
  _UpperCAmelCase    			=   Github(os.environ["""GITHUB_TOKEN"""]		)
  _UpperCAmelCase    			=   g.get_repo("""huggingface/accelerate"""		)
  _UpperCAmelCase    			=   repo.get_issues(state="""open"""		)

  for issue in open_issues:
    _UpperCAmelCase    			=   sorted([comment for comment in issue.get_comments()] ,key=lambda lowercase		: i.created_at ,reverse=lowercase		)
    _UpperCAmelCase    			=   comments[0] if len(lowercase		) > 0 else None
    _UpperCAmelCase    			=   dt.utcnow()
    _UpperCAmelCase    			=   (current_time - issue.updated_at).days
    _UpperCAmelCase    			=   (current_time - issue.created_at).days
    if (
        last_comment is not None
        and last_comment.user.login == "github-actions[bot]"
        and days_since_updated > 7
        and days_since_creation >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()		)
    ):
      # Close issue since it has been 7 days of inactivity since bot mention.
      issue.edit(state="""closed"""		)
    elif (
        days_since_updated > 23
        and days_since_creation >= 30
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()		)
    ):
      # Add stale comment
      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/accelerate/blob/main/CONTRIBUTING.md) """
          """are likely to be ignored."""		)


if __name__ == "__main__":
    main()

"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__			=    logging.get_logger(__name__)

UpperCAmelCase__			=    {
    """google/realm-cc-news-pretrained-embedder""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-encoder""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-scorer""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json"""
    ),
    """google/realm-cc-news-pretrained-openqa""": (
        """https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json"""
    ),
    """google/realm-orqa-nq-openqa""": """https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json""",
    """google/realm-orqa-nq-reader""": """https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json""",
    """google/realm-orqa-wq-openqa""": """https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json""",
    """google/realm-orqa-wq-reader""": """https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json""",
    # See all REALM models at https://huggingface.co/models?filter=realm
}


class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	List[Any]  				=				'realm'


    def __init__(       self						:	List[Any] ,					__lowerCAmelCase						:	List[str]=3_0522 ,					__lowerCAmelCase						:	Tuple=768 ,					__lowerCAmelCase						:	List[Any]=128 ,					__lowerCAmelCase						:	Tuple=12 ,					__lowerCAmelCase						:	List[str]=12 ,					__lowerCAmelCase						:	Union[str, Any]=8 ,					__lowerCAmelCase						:	List[str]=3072 ,					__lowerCAmelCase						:	Union[str, Any]="gelu_new" ,					__lowerCAmelCase						:	str=0.1 ,					__lowerCAmelCase						:	Tuple=0.1 ,					__lowerCAmelCase						:	List[str]=512 ,					__lowerCAmelCase						:	Dict=2 ,					__lowerCAmelCase						:	List[Any]=0.02 ,					__lowerCAmelCase						:	Optional[int]=1e-1_2 ,					__lowerCAmelCase						:	Any=256 ,					__lowerCAmelCase						:	Union[str, Any]=10 ,					__lowerCAmelCase						:	Dict=1e-3 ,					__lowerCAmelCase						:	str=5 ,					__lowerCAmelCase						:	str=320 ,					__lowerCAmelCase						:	Tuple=1335_3718 ,					__lowerCAmelCase						:	Optional[Any]=5000 ,					__lowerCAmelCase						:	int=1 ,					__lowerCAmelCase						:	Dict=0 ,					__lowerCAmelCase						:	Any=2 ,					**__lowerCAmelCase						:	Optional[int] ,					):
      super().__init__(pad_token_id=__lowerCAmelCase ,					bos_token_id=__lowerCAmelCase ,					eos_token_id=__lowerCAmelCase ,					**__lowerCAmelCase       )

      # Common config
      _UpperCAmelCase    			=   vocab_size
      _UpperCAmelCase    			=   max_position_embeddings
      _UpperCAmelCase    			=   hidden_size
      _UpperCAmelCase    			=   retriever_proj_size
      _UpperCAmelCase    			=   num_hidden_layers
      _UpperCAmelCase    			=   num_attention_heads
      _UpperCAmelCase    			=   num_candidates
      _UpperCAmelCase    			=   intermediate_size
      _UpperCAmelCase    			=   hidden_act
      _UpperCAmelCase    			=   hidden_dropout_prob
      _UpperCAmelCase    			=   attention_probs_dropout_prob
      _UpperCAmelCase    			=   initializer_range
      _UpperCAmelCase    			=   type_vocab_size
      _UpperCAmelCase    			=   layer_norm_eps

      # Reader config
      _UpperCAmelCase    			=   span_hidden_size
      _UpperCAmelCase    			=   max_span_width
      _UpperCAmelCase    			=   reader_layer_norm_eps
      _UpperCAmelCase    			=   reader_beam_size
      _UpperCAmelCase    			=   reader_seq_len

      # Retrieval config
      _UpperCAmelCase    			=   num_block_records
      _UpperCAmelCase    			=   searcher_beam_size
