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* Add more ruff rules * Add more ruff rules * pre-commit: Update ruff v0.0.269 -> v0.0.270 * Apply suggestions from code review * Fix doctest * Fix doctest (ignore whitespace) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
90 lines
2.9 KiB
Python
90 lines
2.9 KiB
Python
"""Breath First Search (BFS) can be used when finding the shortest path
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from a given source node to a target node in an unweighted graph.
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"""
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from __future__ import annotations
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graph = {
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"A": ["B", "C", "E"],
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"B": ["A", "D", "E"],
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"C": ["A", "F", "G"],
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"D": ["B"],
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"E": ["A", "B", "D"],
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"F": ["C"],
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"G": ["C"],
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}
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class Graph:
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def __init__(self, graph: dict[str, list[str]], source_vertex: str) -> None:
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"""
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Graph is implemented as dictionary of adjacency lists. Also,
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Source vertex have to be defined upon initialization.
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"""
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self.graph = graph
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# mapping node to its parent in resulting breadth first tree
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self.parent: dict[str, str | None] = {}
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self.source_vertex = source_vertex
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def breath_first_search(self) -> None:
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"""
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This function is a helper for running breath first search on this graph.
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>>> g = Graph(graph, "G")
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>>> g.breath_first_search()
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>>> g.parent
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{'G': None, 'C': 'G', 'A': 'C', 'F': 'C', 'B': 'A', 'E': 'A', 'D': 'B'}
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"""
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visited = {self.source_vertex}
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self.parent[self.source_vertex] = None
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queue = [self.source_vertex] # first in first out queue
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while queue:
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vertex = queue.pop(0)
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for adjacent_vertex in self.graph[vertex]:
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if adjacent_vertex not in visited:
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visited.add(adjacent_vertex)
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self.parent[adjacent_vertex] = vertex
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queue.append(adjacent_vertex)
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def shortest_path(self, target_vertex: str) -> str:
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"""
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This shortest path function returns a string, describing the result:
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1.) No path is found. The string is a human readable message to indicate this.
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2.) The shortest path is found. The string is in the form
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`v1(->v2->v3->...->vn)`, where v1 is the source vertex and vn is the target
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vertex, if it exists separately.
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>>> g = Graph(graph, "G")
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>>> g.breath_first_search()
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Case 1 - No path is found.
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>>> g.shortest_path("Foo")
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Traceback (most recent call last):
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...
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ValueError: No path from vertex: G to vertex: Foo
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Case 2 - The path is found.
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>>> g.shortest_path("D")
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'G->C->A->B->D'
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>>> g.shortest_path("G")
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'G'
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"""
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if target_vertex == self.source_vertex:
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return self.source_vertex
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target_vertex_parent = self.parent.get(target_vertex)
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if target_vertex_parent is None:
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msg = (
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f"No path from vertex: {self.source_vertex} to vertex: {target_vertex}"
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)
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raise ValueError(msg)
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return self.shortest_path(target_vertex_parent) + f"->{target_vertex}"
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if __name__ == "__main__":
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g = Graph(graph, "G")
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g.breath_first_search()
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print(g.shortest_path("D"))
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print(g.shortest_path("G"))
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print(g.shortest_path("Foo"))
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