reformatted + added types to dijkstra.py
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@ -1,86 +1,88 @@
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from math import inf
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from typing import Iterator, Optional
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class Edge:
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length = 0
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def __init__(self, start, end, length):
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self.length = length
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self.start = start
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self.end = end
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class Node:
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def __init__(self, x: int, y: int):
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self.x: int = x
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self.y: int = y
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class Edge:
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def __init__(self, start: int, end: int, length: float):
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self.length: float = length
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self.start: int = start
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self.end: int = end
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def __init__(self, xpos, ypos):
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self.xpos = xpos
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self.ypos = ypos
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class Graph:
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def __init__(self):
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self.edges = list()
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self.nodes = list()
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self.edges: list[Edge] = []
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self.nodes: list[Node] = []
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def add_node(self, xpos, ypos):
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self.nodes.append(Node(xpos, ypos))
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def add_node(self, x: int, y: int) -> None:
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self.nodes.append(Node(x, y))
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def add_edge(self, start_index, end_index, length):
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def add_edge(self, start_index: int, end_index: int, length: float) -> None:
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self.edges.append(Edge(start_index, end_index, length))
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def edges_adjacent_to(self, node_i: int) -> Iterator[Edge]:
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return filter(lambda e: e.start == node_i or e.end == node_i, self.edges)
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def Dijkstra(graph, source_index, target_index):
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def dijkstra(self, source_index: int, target_index: int) -> Optional[list[int]]:
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n = len(self.nodes)
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n = len(graph.nodes)
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if source_index < 0 or source_index >= n:
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return None
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if (target_index >= n):
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return None
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if target_index < 0 or target_index >= n:
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return None
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unvisited = list(range(n))
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unvisited = list(range(n))
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distances_from_start = [inf] * n
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distances_from_start[source_index] = 0
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distances_from_start = [inf] * n
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distances_from_start[source_index] = 0
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node_sequences = [list() for i in range(n)]
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node_sequences[source_index] = [source_index]
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node_sequences = [[] for _ in range(n)]
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node_sequences[source_index] = [source_index]
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while(True):
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try:
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current_index = min(unvisited, key = lambda i: distances_from_start[i])
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except ValueError:
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break
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while True:
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current_index = min(unvisited, key=lambda i: distances_from_start[i])
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if current_index == target_index:
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break
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if current_index == target_index:
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break
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unvisited.remove(current_index)
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unvisited.remove(current_index)
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for edge in filter(
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lambda e: e.start == current_index or e.end == current_index,
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graph.edges):
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for edge in self.edges_adjacent_to(current_index):
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start = current_index
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end = edge.end if edge.start == current_index else edge.start
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start = current_index
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end = edge.end if edge.start == current_index else edge.start
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if end in unvisited and distances_from_start[end] > distances_from_start[start] + edge.length:
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distances_from_start[end] = distances_from_start[start] + edge.length
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node_sequences[end] = node_sequences[start].copy()
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node_sequences[end].append(end)
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if end in unvisited and distances_from_start[end] > distances_from_start[start] + edge.length:
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distances_from_start[end] = distances_from_start[start] + edge.length
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node_sequences[end] = node_sequences[start].copy()
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node_sequences[end].append(end)
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return node_sequences[target_index]
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return node_sequences[target_index]
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graph = Graph()
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def main() -> None:
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graph = Graph()
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graph.add_node(1, 2)
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graph.add_node(4, 7)
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graph.add_node(3,1)
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graph.add_node(-2,0)
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graph.add_node(0,0)
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graph.add_node(1, 2)
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graph.add_node(4, 7)
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graph.add_node(3, 1)
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graph.add_node(-2, 0)
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graph.add_node(0, 0)
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graph.add_edge(0, 1, 1)
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graph.add_edge(1, 2, 2)
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graph.add_edge(2, 3, 3)
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graph.add_edge(3, 0, 1)
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graph.add_edge(1, 3, 3)
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graph.add_edge(0, 1, 1)
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graph.add_edge(1, 2, 2)
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graph.add_edge(2, 3, 3)
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graph.add_edge(3, 0, 1)
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graph.add_edge(1, 3, 3)
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print(Dijkstra(graph, 0, 5))
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print(graph.dijkstra(0, 3))
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if __name__ == "__main__":
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main()
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