
'''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_	:






						'''simple docstring'''






						_lowercase						: int
						_lowercase						: Node | None										=  None
						_lowercase						: Node | None										=  None






def A ():
						_lowerCAmelCase    		=					Node(1						)
						_lowerCAmelCase    		=					Node(2						)
						_lowerCAmelCase    		=					Node(3						)
						_lowerCAmelCase    		=					Node(4						)
						_lowerCAmelCase    		=					Node(5						)
						return tree


def A (__lowerCamelCase :Node | None						):
						return [root.data, *preorder(root.left						), *preorder(root.right						)] if root else []


def A (__lowerCamelCase :Node | None						):
						return postorder(root.left						) + postorder(root.right						) + [root.data] if root else []


def A (__lowerCamelCase :Node | None						):
						return [*inorder(root.left						), root.data, *inorder(root.right						)] if root else []


def A (__lowerCamelCase :Node | None						):
						return (max(height(root.left						)					,      height(root.right						)						) + 1) if root else 0


def A (__lowerCamelCase :Node | None						):
						_lowerCAmelCase    		=					[]

						if root is None:
												return output

						_lowerCAmelCase    		=					deque([root]						)

						while process_queue:
												_lowerCAmelCase    		=					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 A (__lowerCamelCase :Node | None					,      __lowerCamelCase :int						):
						_lowerCAmelCase    		=					[]

						def populate_output(__lowerCamelCase :Node | None					,      __lowerCamelCase :int						) -> 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 A (__lowerCamelCase :Node | None					,      __lowerCamelCase :int						):
						_lowerCAmelCase    		=					[]

						def populate_output(__lowerCamelCase :Node | None					,      __lowerCamelCase :int						) -> 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 A (__lowerCamelCase :Node | None						):
						if root is None:
												return []

						_lowerCAmelCase    		=					[]

						_lowerCAmelCase    		=					0
						_lowerCAmelCase    		=					height(__lowerCamelCase						)

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

						return output


def A ():  # Main function for testing.
						_lowerCAmelCase    		=					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()


'''simple docstring'''



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


_lowercase          =						logging.get_logger(__name__)

_lowercase          =						{
    """edbeeching/decision-transformer-gym-hopper-medium""": (
        """https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json"""
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						_lowercase						: List[str]										=  '''decision_transformer'''
						_lowercase						: Optional[Any]										=  ['''past_key_values''']
						_lowercase						: str										=  {
						    '''max_position_embeddings''': '''n_positions''',
						    '''num_attention_heads''': '''n_head''',
						    '''num_hidden_layers''': '''n_layer''',
						}




						def __init__(   self       ,  _lowercase=17       ,  _lowercase=4       ,  _lowercase=128       ,  _lowercase=4_096       ,  _lowercase=True       ,  _lowercase=1       ,  _lowercase=1_024       ,  _lowercase=3       ,  _lowercase=1       ,  _lowercase=None       ,  _lowercase="relu"       ,  _lowercase=0.1       ,  _lowercase=0.1       ,  _lowercase=0.1       ,  _lowercase=1e-5       ,  _lowercase=0.02       ,  _lowercase=True       ,  _lowercase=True       ,  _lowercase=50_256       ,  _lowercase=50_256       ,  _lowercase=False       ,  _lowercase=False       ,  **_lowercase       ,  ):

												"""simple docstring"""



												_lowerCAmelCase    		=					state_dim
												_lowerCAmelCase    		=					act_dim
												_lowerCAmelCase    		=					hidden_size
												_lowerCAmelCase    		=					max_ep_len
												_lowerCAmelCase    		=					action_tanh
												_lowerCAmelCase    		=					vocab_size
												_lowerCAmelCase    		=					n_positions
												_lowerCAmelCase    		=					n_layer
												_lowerCAmelCase    		=					n_head
												_lowerCAmelCase    		=					n_inner
												_lowerCAmelCase    		=					activation_function
												_lowerCAmelCase    		=					resid_pdrop
												_lowerCAmelCase    		=					embd_pdrop
												_lowerCAmelCase    		=					attn_pdrop
												_lowerCAmelCase    		=					layer_norm_epsilon
												_lowerCAmelCase    		=					initializer_range
												_lowerCAmelCase    		=					scale_attn_weights
												_lowerCAmelCase    		=					use_cache
												_lowerCAmelCase    		=					scale_attn_by_inverse_layer_idx
												_lowerCAmelCase    		=					reorder_and_upcast_attn

												_lowerCAmelCase    		=					bos_token_id
												_lowerCAmelCase    		=					eos_token_id

												super().__init__(bos_token_id=_lowercase       ,  eos_token_id=_lowercase       ,  **_lowercase )
