





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


__lowerCamelCase : List[Any]											=			logging.get_logger(__name__)

__lowerCamelCase : List[str]											=			{
    "s-JoL/Open-Llama-V1": "https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json",
}

class       UpperCAmelCase (						__snake_case  ):
		UpperCAmelCase					:	Any 			=		'''open-llama'''




		def __init__(self      :	List[str]							,			A__      :	Optional[Any]=1_0_0_0_0_0							,			A__      :	str=4_0_9_6							,			A__      :	int=1_1_0_0_8							,			A__      :	Tuple=3_2							,			A__      :	Optional[int]=3_2							,			A__      :	Union[str, Any]="silu"							,			A__      :	Optional[Any]=2_0_4_8							,			A__      :	Tuple=0.0_2							,			A__      :	str=1e-6							,			A__      :	str=True							,			A__      :	Any=0							,			A__      :	Optional[Any]=1							,			A__      :	Optional[int]=2							,			A__      :	Optional[Any]=False							,			A__      :	Optional[Any]=True							,			A__      :	Dict=0.1							,			A__      :	List[str]=0.1							,			A__      :	Tuple=True							,			A__      :	Union[str, Any]=True							,			A__      :	List[Any]=None							,			**A__      :	List[Any]							,			)					-> Tuple:
						lowercase         = vocab_size
						lowercase         = max_position_embeddings
						lowercase         = hidden_size
						lowercase         = intermediate_size
						lowercase         = num_hidden_layers
						lowercase         = num_attention_heads
						lowercase         = hidden_act
						lowercase         = initializer_range
						lowercase         = rms_norm_eps
						lowercase         = use_cache
						lowercase         = kwargs.pop(
						    "use_memorry_efficient_attention"							,			__UpperCamelCase				)
						lowercase         = hidden_dropout_prob
						lowercase         = attention_dropout_prob
						lowercase         = use_stable_embedding
						lowercase         = shared_input_output_embedding
						lowercase         = rope_scaling
						self._rope_scaling_validation()

						super().__init__(
						    pad_token_id=__UpperCamelCase							,			bos_token_id=__UpperCamelCase							,			eos_token_id=__UpperCamelCase							,			tie_word_embeddings=__UpperCamelCase							,			**__UpperCamelCase							,			)





		def 				UpperCAmelCase__   (self      :	Optional[Any]				)					-> List[str]:


						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}'				)
						lowercase         = self.rope_scaling.get("type"							,			__UpperCamelCase				)
						lowercase         = 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'''

from __future__ import annotations

from collections import deque
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any

@dataclass
class       UpperCAmelCase :
		UpperCAmelCase					:	int
		UpperCAmelCase					:	Node | None 			=		None
		UpperCAmelCase					:	Node | None 			=		None







def 							UpperCAmelCase_    (	):

				"""simple docstring"""






				lowercase         = Node(1							)
				lowercase         = Node(2							)
				lowercase         = Node(3							)
				lowercase         = Node(4							)
				lowercase         = Node(5							)
				return tree







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return [root.data, *preorder(root.left							), *preorder(root.right							)] if root else []







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return postorder(root.left							) + postorder(root.right							) + [root.data] if root else []







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return [*inorder(root.left							), root.data, *inorder(root.right							)] if root else []







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return (max(height(root.left							)		,							height(root.right							)							) + 1) if root else 0







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = []

				if root is None:
								return output

				lowercase         = deque([root]							)

				while process_queue:
								lowercase         = process_queue.popleft()
								output.append(node.data							)

								if node.left:
												process_queue.append(node.left							)
								if node.right:
												process_queue.append(node.right							)
				return output







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = []

				def populate_output(lowerCAmelCase_		,							lowerCAmelCase_							) -> None:
								if not root:
												return
								if level == 1:
												output.append(root.data							)
								elif level > 1:
												populate_output(root.left		,							level - 1							)
												populate_output(root.right		,							level - 1							)

				populate_output(lowerCAmelCase_		,							lowerCAmelCase_							)
				return output







def 							UpperCAmelCase_    (	lowerCAmelCase_		,							lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = []

				def populate_output(lowerCAmelCase_		,							lowerCAmelCase_							) -> None:
								if root is None:
												return
								if level == 1:
												output.append(root.data							)
								elif level > 1:
												populate_output(root.right		,							level - 1							)
												populate_output(root.left		,							level - 1							)

				populate_output(lowerCAmelCase_		,							lowerCAmelCase_							)
				return output







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				if root is None:
								return []

				lowercase         = []

				lowercase         = 0
				lowercase         = height(lowerCAmelCase_							)

				for h in range(1		,							height_tree + 1							):
								if not flag:
												output.append(get_nodes_from_left_to_right(lowerCAmelCase_		,							lowerCAmelCase_							)							)
												lowercase         = 1
								else:
												output.append(get_nodes_from_right_to_left(lowerCAmelCase_		,							lowerCAmelCase_							)							)
												lowercase         = 0

				return output







def 							UpperCAmelCase_    (	):  # Main function for testing.

				"""simple docstring"""






				lowercase         = make_tree()
				print(f'In-order Traversal: {inorder(lowerCAmelCase_							)}'							)
				print(f'Pre-order Traversal: {preorder(lowerCAmelCase_							)}'							)
				print(f'Post-order Traversal: {postorder(lowerCAmelCase_							)}'		,							"\n"							)

				print(f'Height of Tree: {height(lowerCAmelCase_							)}'		,							"\n"							)

				print("Complete Level Order Traversal: "							)
				print(level_order(lowerCAmelCase_							)		,							"\n"							)

				print("Level-wise order Traversal: "							)

				for level in range(1		,							height(lowerCAmelCase_							) + 1							):
								print(f'Level {level}:'		,							get_nodes_from_left_to_right(lowerCAmelCase_		,							level=lowerCAmelCase_							)							)

				print("\nZigZag order Traversal: "							)
				print(zigzag(lowerCAmelCase_							)							)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()




