



'''simple docstring'''






def  snake_case_     (					_lowerCAmelCase  :						List[str]  )      ->   Optional[Any]:  # noqa: E741
							UpperCAmelCase :       List[str] 							=		len(_lowerCAmelCase  )
							UpperCAmelCase :       Union[str, Any] 							=		0
							UpperCAmelCase :       Tuple 							=		[0] * n
							UpperCAmelCase :       Optional[int] 							=		[False] * n
							UpperCAmelCase :       Optional[int] 							=		[False] * n

							def dfs(_lowerCAmelCase  :						Optional[int]   ,      _lowerCAmelCase  :						str   ,      _lowerCAmelCase  :						Dict   ,      _lowerCAmelCase  :						Optional[int]  ):
														if parent == root:
																					out_edge_count += 1
														UpperCAmelCase :       Optional[Any] 							=		True
														UpperCAmelCase :       Tuple 							=		at

														for to in l[at]:
																					if to == parent:
																												pass
																					elif not visited[to]:
																												UpperCAmelCase :       Tuple 							=		dfs(_lowerCAmelCase   ,      _lowerCAmelCase   ,      _lowerCAmelCase   ,      _lowerCAmelCase  )
																												UpperCAmelCase :       Optional[int] 							=		min(low[at]   ,      low[to]  )

																												# AP found via bridge
																												if at < low[to]:
																																			UpperCAmelCase :       Any 							=		True
																												# AP found via cycle
																												if at == low[to]:
																																			UpperCAmelCase :       Optional[int] 							=		True
																					else:
																												UpperCAmelCase :       int 							=		min(low[at]   ,      _lowerCAmelCase  )
														return out_edge_count

							for i in range(_lowerCAmelCase  ):
														if not visited[i]:
																					UpperCAmelCase :       Any 							=		0
																					UpperCAmelCase :       List[Any] 							=		dfs(_lowerCAmelCase   ,      _lowerCAmelCase   ,      -1   ,      _lowerCAmelCase  )
																					UpperCAmelCase :       int 							=		out_edge_count > 1

							for x in range(len(_lowerCAmelCase  )  ):
														if is_art[x] is True:
																					print(_lowerCAmelCase  )


# Adjacency list of graph
UpperCamelCase__:   Optional[int]								=			{
    0: [1, 2],
    1: [0, 2],
    2: [0, 1, 3, 5],
    3: [2, 4],
    4: [3],
    5: [2, 6, 8],
    6: [5, 7],
    7: [6, 8],
    8: [5, 7],
}




compute_ap(data)







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


_UpperCAmelCase					: Union[str, Any]      =       logging.get_logger(__name__)

_UpperCAmelCase					: List[str]      =       {
    "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 				lowercase					(		_SCREAMING_SNAKE_CASE   ):
		__lowercase       :       List[str]	     =				"gpt_neox"



		def __init__( self				,      A_=50_432				,      A_=6_144				,      A_=44				,      A_=64				,      A_=24_576				,      A_="gelu"				,      A_=0.25				,      A_=10_000				,      A_=0.0				,      A_=0.0				,      A_=0.1				,      A_=2_048				,      A_=0.02				,      A_=1e-5				,      A_=True				,      A_=0				,      A_=2				,      A_=False				,      A_=True				,      A_=None				,      **A_				,      )  ->					Tuple:
				"""simple docstring"""
				super().__init__(bos_token_id=A_				,      eos_token_id=A_				,      **A_       )
				UpperCamelCase		=     vocab_size
				UpperCamelCase		=     max_position_embeddings
				UpperCamelCase		=     hidden_size
				UpperCamelCase		=     num_hidden_layers
				UpperCamelCase		=     num_attention_heads
				UpperCamelCase		=     intermediate_size
				UpperCamelCase		=     hidden_act
				UpperCamelCase		=     rotary_pct
				UpperCamelCase		=     rotary_emb_base
				UpperCamelCase		=     attention_dropout
				UpperCamelCase		=     hidden_dropout
				UpperCamelCase		=     classifier_dropout
				UpperCamelCase		=     initializer_range
				UpperCamelCase		=     layer_norm_eps
				UpperCamelCase		=     use_cache
				UpperCamelCase		=     tie_word_embeddings
				UpperCamelCase		=     use_parallel_residual
				UpperCamelCase		=     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 __UpperCamelCase ( self       )  ->					Tuple:
				"""simple docstring"""
				if self.rope_scaling is None:
						return

				if not isinstance(self.rope_scaling				,      A_       ) 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}'''       )
				UpperCamelCase		=     self.rope_scaling.get('type'				,      A_       )
				UpperCamelCase		=     self.rope_scaling.get('factor'				,      A_       )
				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(A_				,      A_       ) or rope_scaling_factor <= 1.0:
						raise ValueError(F'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''       )
