Python/graphs/eulerian_path_and_circuit_for_undirected_graph.py
2024-10-08 00:42:15 -05:00

142 lines
4.0 KiB
Python

# Eulerian Path is a path in graph that visits every edge exactly once.
# Eulerian Circuit is an Eulerian Path which starts and ends on the same
# vertex.
# time complexity is O(V+E)
# space complexity is O(VE)
def dfs(u, graph, visited_edge, path=None):
"""
Using dfs for finding eulerian path traversal
Args:
u: The start_node
graph: The graph to check
visited_edge: Specify if a node has been visited or not
path: Optional path parameter
Returns:
Path
Example:
>>> visited_edge = [[False] * 11 for _ in range(11)]
>>> dfs(1, {1: [2, 3], 2: [1, 3], 3: [1, 2]}, visited_edge)
[1, 2, 3, 1]
>>> dfs(5, {1: [2, 3, 4], 2: [1, 3], 3: [1], 4: [1, 5], 5: [4]}, visited_edge)
[5, 4, 1]
>>> dfs(1, {1: [], 2: [], 3: [1, 2]}, visited_edge)
[1]
>>> dfs(1, {1: [], 2: []}, visited_edge)
[1]
>>> dfs(1, {1: [], 2: []}, visited_edge, [1, 3])
[1, 3, 1]
"""
path = (path or []) + [u]
for v in graph[u]:
if visited_edge[u][v] is False:
visited_edge[u][v], visited_edge[v][u] = True, True
path = dfs(v, graph, visited_edge, path)
return path
def check_circuit_or_path(graph, max_node):
"""
For checking in graph has euler path or circuit
Args:
graph: The graph to check
max_node: The maximum node to check
Returns:
Type of graph, and its circuit or path
Example:
>>> check_circuit_or_path({1: [2, 3], 2: [1, 3], 3: [1, 2]}, 10)
(1, -1)
>>> check_circuit_or_path({1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [], 5: [4]}, 10)
(2, 5)
>>> check_circuit_or_path({1: [2, 3, 1], 2: [2], 3: [1, 3], 4: [1], 5: []}, 10)
(3, 4)
>>> check_circuit_or_path({1: [], 2: [], 3: [1, 2]}, 10)
(1, -1)
>>> check_circuit_or_path({1: [], 2: []}, 10)
(1, -1)
"""
odd_degree_nodes = 0
odd_node = -1
for i in range(max_node):
if i not in graph:
continue
if len(graph[i]) % 2 == 1:
odd_degree_nodes += 1
odd_node = i
if odd_degree_nodes == 0:
return 1, odd_node
if odd_degree_nodes == 2:
return 2, odd_node
return 3, odd_node
def check_euler(graph, max_node):
"""
Args:
graph: The graph to check
max_node: The maximum node to check
Example:
>>> check_euler({1: [2, 3], 2: [1, 3], 3: [1, 2]}, 10)
graph has a Euler cycle
[1, 2, 3, 1]
>>> check_euler({1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}, 10)
graph has a Euler path
[5, 4, 1, 2, 3, 1]
>>> check_euler({1: [2, 3, 1], 2: [2, 3, 4], 3: [1, 3], 4: [1], 5: []}, 10)
graph is not Eulerian
no path
>>> check_euler({1: [], 2: [], 3: [1, 2]}, 10)
graph has a Euler cycle
[1]
>>> check_euler({1: [], 2: []}, 10)
graph has a Euler cycle
[1]
"""
visited_edge = [[False for _ in range(max_node + 1)] for _ in range(max_node + 1)]
check, odd_node = check_circuit_or_path(graph, max_node)
if check == 3:
print("graph is not Eulerian")
print("no path")
return
start_node = 1
if check == 2:
start_node = odd_node
print("graph has a Euler path")
if check == 1:
print("graph has a Euler cycle")
path = dfs(start_node, graph, visited_edge)
print(path)
def main():
g1 = {1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
g2 = {1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
g3 = {1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
g4 = {1: [2, 3], 2: [1, 3], 3: [1, 2]}
g5 = {
1: [],
2: [],
# all degree is zero
}
max_node = 10
check_euler(g1, max_node)
check_euler(g2, max_node)
check_euler(g3, max_node)
check_euler(g4, max_node)
check_euler(g5, max_node)
if __name__ == "__main__":
main()
import doctest
doctest.testmod()