


'''simple docstring'''




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


_lowerCAmelCase  :		Any		     =	logging.get_logger(__name__)

_lowerCAmelCase  :		int		     =	{
    '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  lowerCAmelCase				(				a							):
	_lowerCamelCase   :					List[Any]			      = """gpt_neox"""



	def __init__(					self ,					snake_case__=5_0432 ,					snake_case__=6144 ,					snake_case__=44 ,					snake_case__=64 ,					snake_case__=2_4576 ,					snake_case__="gelu" ,					snake_case__=0.2_5 ,					snake_case__=1_0000 ,					snake_case__=0.0 ,					snake_case__=0.0 ,					snake_case__=0.1 ,					snake_case__=2048 ,					snake_case__=0.0_2 ,					snake_case__=1e-5 ,					snake_case__=True ,					snake_case__=0 ,					snake_case__=2 ,					snake_case__=False ,					snake_case__=True ,					snake_case__=None ,					**snake_case__ ,					):
		super().__init__(bos_token_id=snake_case__ ,					eos_token_id=snake_case__ ,					**snake_case__    )
		lowerCAmelCase					:    Tuple      							= vocab_size
		lowerCAmelCase					:    int      							= max_position_embeddings
		lowerCAmelCase					:    Tuple      							= hidden_size
		lowerCAmelCase					:    Union[str, Any]      							= num_hidden_layers
		lowerCAmelCase					:    Optional[Any]      							= num_attention_heads
		lowerCAmelCase					:    List[Any]      							= intermediate_size
		lowerCAmelCase					:    Optional[int]      							= hidden_act
		lowerCAmelCase					:    Dict      							= rotary_pct
		lowerCAmelCase					:    Optional[Any]      							= rotary_emb_base
		lowerCAmelCase					:    Any      							= attention_dropout
		lowerCAmelCase					:    Tuple      							= hidden_dropout
		lowerCAmelCase					:    str      							= classifier_dropout
		lowerCAmelCase					:    Any      							= initializer_range
		lowerCAmelCase					:    List[Any]      							= layer_norm_eps
		lowerCAmelCase					:    Optional[int]      							= use_cache
		lowerCAmelCase					:    str      							= tie_word_embeddings
		lowerCAmelCase					:    Dict      							= use_parallel_residual
		lowerCAmelCase					:    Optional[int]      							= 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    ):
		if self.rope_scaling is None:
			return

		if not isinstance(self.rope_scaling ,					snake_case__    ) 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}"    )
		lowerCAmelCase					:    str      							= self.rope_scaling.get('type' ,					snake_case__    )
		lowerCAmelCase					:    Optional[Any]      							= self.rope_scaling.get('factor' ,					snake_case__    )
		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(snake_case__ ,					snake_case__    ) 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'''




def 			__UpperCamelCase    (    _A    :				List[str]				)    ->      Optional[Any]:




	"""simple docstring"""





	if not head:
		return True
	# split the list to two parts
	lowerCAmelCase							,   lowerCAmelCase					:    str      							= head.next, head
	while fast and fast.next:
		lowerCAmelCase					:    Optional[int]      							= fast.next.next
		lowerCAmelCase					:    int      							= slow.next
	lowerCAmelCase					:    int      							= slow.next
	lowerCAmelCase					:    Optional[Any]      							= None  # Don't forget here! But forget still works!
	# reverse the second part
	lowerCAmelCase					:    List[Any]      							= None
	while second:
		lowerCAmelCase					:    List[Any]      							= second.next
		lowerCAmelCase					:    Union[str, Any]      							= node
		lowerCAmelCase					:    Optional[Any]      							= second
		lowerCAmelCase					:    Any      							= nxt
	# compare two parts
	# second part has the same or one less node
	while node:
		if node.val != head.val:
			return False
		lowerCAmelCase					:    Optional[Any]      							= node.next
		lowerCAmelCase					:    Tuple      							= head.next
	return True

def 			__UpperCamelCase    (    _A    :				Optional[Any]				)    ->      Optional[int]:




	"""simple docstring"""





	if not head or not head.next:
		return True

	# 1. Get the midpoint (slow)
	lowerCAmelCase					:    Optional[int]      							= head
	while fast and fast.next:
		lowerCAmelCase							,   lowerCAmelCase					:    Optional[Any]      							= fast.next.next, slow.next

	# 2. Push the second half into the stack
	lowerCAmelCase					:    Tuple      							= [slow.val]
	while slow.next:
		lowerCAmelCase					:    Tuple      							= slow.next
		stack.append(slow.val				)

	# 3. Comparison
	while stack:
		if stack.pop() != cur.val:
			return False
		lowerCAmelCase					:    Union[str, Any]      							= cur.next

	return True






def 			__UpperCamelCase    (    _A    :				Tuple				)    ->      Optional[int]:




	"""simple docstring"""





	if not head or not head.next:
		return True
	lowerCAmelCase					:    Optional[int]      							= {}
	lowerCAmelCase					:    int      							= 0
	while head:
		if head.val in d:
			d[head.val].append(_A				)
		else:
			lowerCAmelCase					:    Any      							= [pos]
		lowerCAmelCase					:    int      							= head.next
		pos += 1
	lowerCAmelCase					:    str      							= pos - 1
	lowerCAmelCase					:    Optional[Any]      							= 0
	for v in d.values():
		if len(_A				) % 2 != 0:
			middle += 1
		else:
			lowerCAmelCase					:    Any      							= 0
			for i in range(0					,   len(_A				)				):
				if v[i] + v[len(_A				) - 1 - step] != checksum:
					return False
				step += 1
		if middle > 1:
			return False
	return True
