



'''simple docstring'''

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


snake_case_			=     logging.get_logger(__name__)

snake_case_			=     {
    """EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json""",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}


class 	a__     (				_lowercase	):
	__magic_name__		:    Dict	    =     "gpt_neox"


	def __init__(self : Any,					__UpperCAmelCase : Dict=50432,					__UpperCAmelCase : Union[str, Any]=6144,					__UpperCAmelCase : int=44,					__UpperCAmelCase : Optional[int]=64,					__UpperCAmelCase : int=24576,					__UpperCAmelCase : List[Any]="gelu",					__UpperCAmelCase : Tuple=0.25,					__UpperCAmelCase : Any=10000,					__UpperCAmelCase : List[Any]=0.0,					__UpperCAmelCase : Any=0.0,					__UpperCAmelCase : str=0.1,					__UpperCAmelCase : List[Any]=2048,					__UpperCAmelCase : int=0.02,					__UpperCAmelCase : str=1e-5,					__UpperCAmelCase : List[Any]=True,					__UpperCAmelCase : int=0,					__UpperCAmelCase : int=2,					__UpperCAmelCase : Union[str, Any]=False,					__UpperCAmelCase : int=True,					__UpperCAmelCase : Any=None,					**__UpperCAmelCase : List[Any],					)     ->			Optional[Any]:

					"""simple docstring"""

					super().__init__(bos_token_id=__UpperCAmelCase,					eos_token_id=__UpperCAmelCase,					**__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						Dict      					= vocab_size
					SCREAMING_SNAKE_CASE  :						List[str]      					= max_position_embeddings
					SCREAMING_SNAKE_CASE  :						List[Any]      					= hidden_size
					SCREAMING_SNAKE_CASE  :						Tuple      					= num_hidden_layers
					SCREAMING_SNAKE_CASE  :						Dict      					= num_attention_heads
					SCREAMING_SNAKE_CASE  :						int      					= intermediate_size
					SCREAMING_SNAKE_CASE  :						List[str]      					= hidden_act
					SCREAMING_SNAKE_CASE  :						List[str]      					= rotary_pct
					SCREAMING_SNAKE_CASE  :						Optional[Any]      					= rotary_emb_base
					SCREAMING_SNAKE_CASE  :						str      					= attention_dropout
					SCREAMING_SNAKE_CASE  :						Optional[int]      					= hidden_dropout
					SCREAMING_SNAKE_CASE  :						List[Any]      					= classifier_dropout
					SCREAMING_SNAKE_CASE  :						int      					= initializer_range
					SCREAMING_SNAKE_CASE  :						Tuple      					= layer_norm_eps
					SCREAMING_SNAKE_CASE  :						List[Any]      					= use_cache
					SCREAMING_SNAKE_CASE  :						Any      					= tie_word_embeddings
					SCREAMING_SNAKE_CASE  :						Union[str, Any]      					= use_parallel_residual
					SCREAMING_SNAKE_CASE  :						List[str]      					= rope_scaling
					self._rope_scaling_validation()

					if self.hidden_size % self.num_attention_heads != 0:
									raise ValueError(
									    '''The hidden size is not divisble by the number of attention heads! Make sure to update them!'''      )






	def 				lowercase__  (self : Optional[int]      )     ->			str:

					"""simple docstring"""

					if self.rope_scaling is None:
									return

					if not isinstance(self.rope_scaling,					__UpperCAmelCase      ) or len(self.rope_scaling      ) != 2:
									raise ValueError(
									    '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
									    F'''got {self.rope_scaling}'''      )
					SCREAMING_SNAKE_CASE  :						Dict      					= self.rope_scaling.get('''type''',					__UpperCAmelCase      )
					SCREAMING_SNAKE_CASE  :						Any      					= self.rope_scaling.get('''factor''',					__UpperCAmelCase      )
					if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
									raise ValueError(
									    F'''`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'''      )
					if rope_scaling_factor is None or not isinstance(__UpperCAmelCase,					__UpperCAmelCase      ) or rope_scaling_factor <= 1.0:
									raise ValueError(F'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''      )









'''simple docstring'''

import os
from datetime import datetime as dt

from github import Github


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






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

				for issue in open_issues:
								SCREAMING_SNAKE_CASE  :						List[Any]      					= sorted(issue.get_comments()    ,	key=lambda _SCREAMING_SNAKE_CASE       : i.created_at    ,	reverse=_SCREAMING_SNAKE_CASE       )
								SCREAMING_SNAKE_CASE  :						Optional[int]      					= comments[0] if len(_SCREAMING_SNAKE_CASE       ) > 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()




