




'''simple docstring'''





from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

_SCREAMING_SNAKE_CASE							:       Tuple						=			TypeVar("T")


def 					UpperCamelCase_(     snake_case							:	int					):

							'''simple docstring'''






							return (position - 1) // 2


def 					UpperCamelCase_(     snake_case							:	int					):

							'''simple docstring'''






							return (2 * position) + 1


def 					UpperCamelCase_(     snake_case							:	int					):

							'''simple docstring'''






							return (2 * position) + 2




class 			_snake_case		(     Generic[T]							):




			def __init__( self							)    ->    None:

										'''simple docstring'''




										snake_case_      =				[]
										snake_case_      =				{}
										snake_case_      =				0




			def __len__( self							)    ->    int:

										'''simple docstring'''




										return self.elements




			def __repr__( self							)    ->    str:

										'''simple docstring'''




										return str(self.heap							)




			def        lowerCAmelCase__    ( self							)    ->    bool:

										'''simple docstring'''




										return self.elements == 0




			def        lowerCAmelCase__    ( self    ,							a__    ,							a__							)    ->    None:

										'''simple docstring'''




										self.heap.append((elem, weight)							)
										snake_case_      =				self.elements
										self.elements += 1
										self._bubble_up(a__							)




			def        lowerCAmelCase__    ( self							)    ->    T:

										'''simple docstring'''




										if self.elements > 1:
																	self._swap_nodes(0    ,							self.elements - 1							)
										snake_case_ ,				snake_case_      =				self.heap.pop()
										del self.position_map[elem]
										self.elements -= 1
										if self.elements > 0:
																	snake_case_ ,				snake_case_      =				self.heap[0]
																	self._bubble_down(a__							)
										return elem




			def        lowerCAmelCase__    ( self    ,							a__    ,							a__							)    ->    None:

										'''simple docstring'''




										snake_case_      =				self.position_map[elem]
										snake_case_      =				(elem, weight)
										if position > 0:
																	snake_case_      =				get_parent_position(a__							)
																	snake_case_ ,				snake_case_      =				self.heap[parent_position]
																	if parent_weight > weight:
																								self._bubble_up(a__							)
																	else:
																								self._bubble_down(a__							)
										else:
																	self._bubble_down(a__							)




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    None:

										'''simple docstring'''




										snake_case_      =				self.position_map[elem]
										if curr_pos == 0:
																	return None
										snake_case_      =				get_parent_position(a__							)
										snake_case_ ,				snake_case_      =				self.heap[curr_pos]
										snake_case_ ,				snake_case_      =				self.heap[parent_position]
										if parent_weight > weight:
																	self._swap_nodes(a__    ,							a__							)
																	return self._bubble_up(a__							)
										return None




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    None:

										'''simple docstring'''




										snake_case_      =				self.position_map[elem]
										snake_case_ ,				snake_case_      =				self.heap[curr_pos]
										snake_case_      =				get_child_left_position(a__							)
										snake_case_      =				get_child_right_position(a__							)
										if child_left_position < self.elements and child_right_position < self.elements:
																	snake_case_ ,				snake_case_      =				self.heap[child_left_position]
																	snake_case_ ,				snake_case_      =				self.heap[child_right_position]
																	if child_right_weight < child_left_weight and child_right_weight < weight:
																								self._swap_nodes(a__    ,							a__							)
																								return self._bubble_down(a__							)
										if child_left_position < self.elements:
																	snake_case_ ,				snake_case_      =				self.heap[child_left_position]
																	if child_left_weight < weight:
																								self._swap_nodes(a__    ,							a__							)
																								return self._bubble_down(a__							)
										else:
																	return None
										if child_right_position < self.elements:
																	snake_case_ ,				snake_case_      =				self.heap[child_right_position]
																	if child_right_weight < weight:
																								self._swap_nodes(a__    ,							a__							)
																								return self._bubble_down(a__							)
										return None




			def        lowerCAmelCase__    ( self    ,							a__    ,							a__							)    ->    None:

										'''simple docstring'''




										snake_case_      =				self.heap[nodea_pos][0]
										snake_case_      =				self.heap[nodea_pos][0]
										snake_case_ ,				snake_case_      =				(
										    self.heap[nodea_pos],
										    self.heap[nodea_pos],
										)
										snake_case_      =				nodea_pos
										snake_case_      =				nodea_pos




class 			_snake_case		(     Generic[T]							):




			def __init__( self							)    ->    None:

										'''simple docstring'''




										snake_case_      =				{}
										snake_case_      =				0




			def __repr__( self							)    ->    str:

										'''simple docstring'''




										return str(self.connections							)




			def __len__( self							)    ->    int:

										'''simple docstring'''




										return self.nodes




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    None:

										'''simple docstring'''




										if node not in self.connections:
																	snake_case_      =				{}
																	self.nodes += 1




			def        lowerCAmelCase__    ( self    ,							a__    ,							a__    ,							a__							)    ->    None:

										'''simple docstring'''




										self.add_node(a__							)
										self.add_node(a__							)
										snake_case_      =				weight
										snake_case_      =				weight


def 					UpperCamelCase_(     snake_case							:	GraphUndirectedWeighted[T]							,    ):

							'''simple docstring'''






							snake_case_      =				{node: maxsize for node in graph.connections}
							snake_case_      =				{node: None for node in graph.connections}

							snake_case_      =				MinPriorityQueue()
							for node, weight in dist.items():
														priority_queue.push(snake_case							,    snake_case					)

							if priority_queue.is_empty():
														return dist, parent

							# initialization
							snake_case_      =				priority_queue.extract_min()
							snake_case_      =				0
							for neighbour in graph.connections[node]:
														if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
																					snake_case_      =				dist[node] + graph.connections[node][neighbour]
																					priority_queue.update_key(snake_case							,    dist[neighbour]					)
																					snake_case_      =				node

    # running prim's algorithm
							while not priority_queue.is_empty():
														snake_case_      =				priority_queue.extract_min()
														for neighbour in graph.connections[node]:
																					if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
																												snake_case_      =				dist[node] + graph.connections[node][neighbour]
																												priority_queue.update_key(snake_case							,    dist[neighbour]					)
																												snake_case_      =				node
							return dist, parent










'''simple docstring'''





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


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

_SCREAMING_SNAKE_CASE							:       Optional[int]						=			{
    "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 			_snake_case		(     lowercase_							):
			lowerCAmelCase_					:				Dict							=   "decision_transformer"
			lowerCAmelCase_					:				List[Any]							=   ["past_key_values"]
			lowerCAmelCase_					:				Tuple							=   {
			    "max_position_embeddings": "n_positions",
			    "num_attention_heads": "n_head",
			    "num_hidden_layers": "n_layer",
			}




			def __init__( self    ,							a__=17    ,							a__=4    ,							a__=128    ,							a__=4_096    ,							a__=True    ,							a__=1    ,							a__=1_024    ,							a__=3    ,							a__=1    ,							a__=None    ,							a__="relu"    ,							a__=0.1    ,							a__=0.1    ,							a__=0.1    ,							a__=1e-5    ,							a__=0.0_2    ,							a__=True    ,							a__=True    ,							a__=50_256    ,							a__=50_256    ,							a__=False    ,							a__=False    ,							**a__    ,							)    ->    Optional[int]:

										'''simple docstring'''




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

										snake_case_      =				bos_token_id
										snake_case_      =				eos_token_id

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




