def test_bfs_directed(recursive=False):
g = Graph(6, directed=True)
g.add_edge(0, 1)
g.add_edge(0, 2)
g.add_edge(1, 2)
g.add_edge(2, 0)
g.add_edge(3, 3)
g.add_edge(3, 4)
g.add_edge(4, 4)
g.add_edge(4, 2)
g.add_edge(5, 5)
'''
0 -> 1
| |
| v
< - > 2 <- |
|
3 -> 4 -> |
5
'''
def aggregate_list(v):
if not hasattr(aggregate_list, "l"):
setattr(aggregate_list, "l", [])
aggregate_list.l.append(v)
return aggregate_list.l
if recursive:
bfs_fn = g.bfs_reachable_r
bfs_all = g.bfs_all_r
else:
bfs_fn = g.bfs_reachable
bfs_all = g.bfs_all
bfs_fn(2, aggregate_list)
assert(aggregate_list.l == [2,0,1])
aggregate_list.l = []
bfs_fn(0, aggregate_list)
assert(aggregate_list.l == [0,1,2])
aggregate_list.l = []
bfs_fn(4, aggregate_list)
assert(aggregate_list.l == [4,2,0,1])
aggregate_list.l = []
bfs_fn(5, aggregate_list)
assert(aggregate_list.l == [5])
aggregate_list.l = []
bfs_all(aggregate_list)
assert(aggregate_list.l == [0,1,2,3,4,5])
def test_dfs_directed(recursive=True):
g = Graph(6, directed=True)
g.add_edge(0, 1)
g.add_edge(0, 2)
g.add_edge(1, 2)
g.add_edge(2, 0)
g.add_edge(3, 3)
g.add_edge(3, 4)
g.add_edge(4, 4)
g.add_edge(4, 2)
g.add_edge(5, 5)
'''
0 -> 1
| |
| v
< - > 2 <- |
|
3 -> 4 -> |
5
'''
def aggregate_list(v):
if not hasattr(aggregate_list, "l"):
setattr(aggregate_list, "l", [])
aggregate_list.l.append(v)
return aggregate_list.l
if recursive:
dfs_reachable = g.dfs_reachable
dfs_all = g.dfs_all
else:
dfs_reachable = g.dfs_reachable_i
dfs_all = g.dfs_all_i
dfs_reachable(2, aggregate_list)
assert (aggregate_list.l == [2, 0, 1])
aggregate_list.l = []
dfs_reachable(0, aggregate_list)
assert (aggregate_list.l == [0, 1, 2])
aggregate_list.l = []
dfs_all(aggregate_list)
assert (aggregate_list.l == [0, 1, 2, 3, 4, 5])
aggregate_list.l = []
dfs_reachable(4, aggregate_list)
assert (aggregate_list.l == [4, 2, 0, 1])
aggregate_list.l = []
dfs_reachable(5, aggregate_list)
assert (aggregate_list.l == [5])
def test_dfs_undirected(recursive=True):
g = Graph(6)
g.add_edge(0, 1)
g.add_edge(0, 2)
g.add_edge(1, 2)
g.add_edge(2, 0)
g.add_edge(3, 3)
g.add_edge(3, 4)
g.add_edge(4, 4)
g.add_edge(4, 2)
g.add_edge(5, 5)
'''
0 -- 1
\ |
-- 2 -- |
|
3 -- 4 -- |
5
'''
def aggregate_list(v):
if not hasattr(aggregate_list, "l"):
setattr(aggregate_list, "l", [])
aggregate_list.l.append(v)
return aggregate_list.l
if recursive:
dfs_reachable = g.dfs_reachable
dfs_all = g.dfs_all
else:
dfs_reachable = g.dfs_reachable_i
dfs_all = g.dfs_all_i
dfs_reachable(2, aggregate_list)
assert (aggregate_list.l == [2, 0, 1, 4, 3])
aggregate_list.l = []
dfs_reachable(0, aggregate_list)
assert (aggregate_list.l == [0, 1, 2, 4, 3])
aggregate_list.l = []
dfs_all(aggregate_list)
assert (aggregate_list.l == [0, 1, 2, 4, 3, 5])
aggregate_list.l = []
dfs_reachable(4, aggregate_list)
assert (aggregate_list.l == [4, 2, 0, 1, 3])
aggregate_list.l = []
dfs_reachable(5, aggregate_list)
assert (aggregate_list.l == [5])
def test_dfs_directed():
g = Graph(6, directed=True)
g.add_edge(0, 1)
g.add_edge(0, 2)
g.add_edge(1, 2)
g.add_edge(2, 0)
g.add_edge(3, 3)
g.add_edge(3, 4)
g.add_edge(4, 4)
g.add_edge(4, 2)
g.add_edge(5, 5)
'''
0 -> 1
| |
| v
< - > 2 <- |
|
3 -> 4 -> |
5
'''
def aggregate_list(v):
if not hasattr(aggregate_list, "l"):
setattr(aggregate_list, "l", [])
aggregate_list.l.append(v)
return aggregate_list.l
g.dfs_reachable(2, aggregate_list)
assert(aggregate_list.l == [2,0,1])
aggregate_list.l = []
g.dfs_reachable(0, aggregate_list)
assert(aggregate_list.l == [0,1,2])
aggregate_list.l = []
g.dfs_all(aggregate_list)
assert(aggregate_list.l == [0,1,2,3,4,5])
aggregate_list.l = []
g.dfs_reachable(4, aggregate_list)
assert(aggregate_list.l == [4,2,0,1])
aggregate_list.l = []
g.dfs_reachable(5, aggregate_list)
assert(aggregate_list.l == [5])
def test_dfs_undirected():
g = Graph(6)
g.add_edge(0, 1)
g.add_edge(0, 2)
g.add_edge(1, 2)
g.add_edge(2, 0)
g.add_edge(3, 3)
g.add_edge(3, 4)
g.add_edge(4, 4)
g.add_edge(4, 2)
g.add_edge(5, 5)
'''
0 -- 1
\ |
-- 2 -- |
|
3 -- 4 -- |
5
'''
def aggregate_list(v):
if not hasattr(aggregate_list, "l"):
setattr(aggregate_list, "l", [])
aggregate_list.l.append(v)
return aggregate_list.l
g.dfs_reachable(2, aggregate_list)
assert(aggregate_list.l == [2,0,1,4,3])
aggregate_list.l = []
g.dfs_reachable(0, aggregate_list)
assert(aggregate_list.l == [0,1,2,4,3])
aggregate_list.l = []
g.dfs_all(aggregate_list)
assert(aggregate_list.l == [0,1,2,4,3,5])
aggregate_list.l = []
g.dfs_reachable(4, aggregate_list)
assert(aggregate_list.l == [4,2,0,1,3])
aggregate_list.l = []
g.dfs_reachable(5, aggregate_list)
assert(aggregate_list.l == [5])
def test_topological_sort():
g = Graph(7, directed=True)
g.add_edge(0, 1)
g.add_edge(0, 2)
g.add_edge(0, 3)
g.add_edge(0, 4)
g.add_edge(1, 5)
g.add_edge(2, 5)
g.add_edge(3, 5)
g.add_edge(5, 6)
g.add_edge(4, 6)
'''
1
↗ ↘
0 → 2 → 5 → 6
↓↘ ↗ ↑
↓ 3 ↗
↘ ↗
4 → ↗
'''
s = g.topological_sort()
l = [0, 4, 3, 2, 1, 5, 6]
for i in xrange(7):
assert s.pop() == l[i]
'''
0 1
↘ ↙ |
2 |
↙ ↓
3 4
↘ ↙
5
↓
6
'''
g = Graph(7, directed=True)
g.add_edge(0, 2)
g.add_edge(1, 2)
g.add_edge(1, 4)
g.add_edge(2, 3)
g.add_edge(3, 5)
g.add_edge(4, 5)
g.add_edge(5, 6)
assert str(g.topological_sort()) == "[7]: 1 4 0 2 3 5 6"
def basic_testcases():
g = Graph(3)
assert str(g) == str([[None] * 3] * 3)
g.add_edge(1, 2)
g.add_edge(1, 0)
assert str(g) == "[[None, 1, None], [1, None, 1], [None, 1, None]]"
# directed graph
g = Graph(3, directed=True)
g.add_edge(1, 2)
g.add_edge(1, 2) # duplicate - won't be added to adjacency lists
g.add_edge(1, 0)
assert str(g) == "[[None, None, None], [1, None, 1], [None, None, None]]"
# weighted undirected graph
g = Graph(3)
g.add_edge(1, 2, 5)
g.add_edge(1, 2, 10) # duplicate - Update weight
g.add_edge(1, 0, 11)
assert str(g) == "[[None, 11, None], [11, None, 10], [None, 10, None]]"
# weighted directed graph
g = Graph(3, directed=True)
g.add_edge(1, 2, 5)
g.add_edge(1, 2, 10) # duplicate - Update weight
g.add_edge(1, 0, 11)
assert str(g) == "[[None, None, None], [11, None, 10], [None, None, None]]"
def test_paths_undirected():
g = Graph(7, directed=False)
g.add_edge(0, 1)
g.add_edge(0, 2)
g.add_edge(0, 3)
g.add_edge(0, 4)
g.add_edge(1, 5)
g.add_edge(2, 5)
g.add_edge(3, 5)
g.add_edge(5, 6)
g.add_edge(4, 6)
'''
1
⤢ ⤡
0 ⇿ 2 ⇿ 5 ⇿ 6
↕⤡ ⤢ ⤢
↕ 3 ⤢
⤡ ⤢
4 ⇿ ⤢
'''
def aggregate_list(path):
if not hasattr(aggregate_list, "l"):
setattr(aggregate_list, "l", [])
aggregate_list.l.append(path)
return aggregate_list.l
g.paths(0, 6, aggregate_list)
assert aggregate_list.l == [[0, 1, 5, 6], [0, 2, 5, 6], [0, 3, 5, 6],
[0, 4, 6]]
aggregate_list.l = []
g.paths(1, 6, aggregate_list)
assert aggregate_list.l == [[1, 0, 2, 5, 6], [1, 0, 3, 5, 6], [1, 0, 4, 6],
[1, 5, 2, 0, 4, 6], [1, 5, 3, 0, 4, 6],
[1, 5, 6]]
aggregate_list.l = []
g.paths(1, 1, aggregate_list)
assert aggregate_list.l == [[1]]
# Try BFS-based all paths extraction
aggregate_list.l = []
g.paths_2(0, 6, aggregate_list)
assert aggregate_list.l == [[0, 4, 6], [0, 1, 5, 6], [0, 2, 5, 6],
[0, 3, 5, 6]]
aggregate_list.l = []
g.paths_2(1, 6, aggregate_list)
assert aggregate_list.l == sorted(
[[1, 0, 2, 5, 6], [1, 0, 3, 5, 6], [1, 0, 4, 6], [1, 5, 2, 0, 4, 6],
[1, 5, 3, 0, 4, 6], [1, 5, 6]],
cmp=lambda l1, l2: cmp(len(l1), len(l2)))
aggregate_list.l = []
g.paths_2(1, 1, aggregate_list)
assert aggregate_list.l == [[1]]
# All shortest paths by length
aggregate_list.l = []
g.all_shortest_paths_by_length(0, 6, aggregate_list)
assert aggregate_list.l == [[0, 4, 6]]
aggregate_list.l = []
g.all_shortest_paths_by_length(1, 6, aggregate_list)
assert aggregate_list.l == [[1, 5, 6]]
aggregate_list.l = []
g.all_shortest_paths_by_length(0, 5, aggregate_list)
assert aggregate_list.l == [[0, 1, 5], [0, 2, 5], [0, 3, 5]]
# shortest path by length
assert g.shortest_path_by_length(0, 6) == [0, 4, 6]
assert g.shortest_path_by_length(1, 6) == [1, 5, 6]
assert g.shortest_path_by_length(0, 5) == [0, 1, 5]
def test_paths_directed():
g = Graph(7, directed=True)
g.add_edge(0, 1)
g.add_edge(0, 2)
g.add_edge(0, 3)
g.add_edge(0, 4)
g.add_edge(1, 5)
g.add_edge(2, 5)
g.add_edge(3, 5)
g.add_edge(5, 6)
g.add_edge(4, 6)
'''
1
↗ ↘
0 → 2 → 5 → 6
↓↘ ↗ ↑
↓ 3 ↗
↘ ↗
4 → ↗
'''
def aggregate_list(path):
if not hasattr(aggregate_list, "l"):
setattr(aggregate_list, "l", [])
aggregate_list.l.append(path)
return aggregate_list.l
g.paths(0, 6, aggregate_list)
assert aggregate_list.l == [[0, 1, 5, 6], [0, 2, 5, 6], [0, 3, 5, 6],
[0, 4, 6]]
aggregate_list.l = []
g.paths(1, 6, aggregate_list)
assert aggregate_list.l == [[1, 5, 6]]
aggregate_list.l = []
g.paths(6, 1, aggregate_list)
assert aggregate_list.l == []
# Try BFS-based all paths extraction
aggregate_list.l = []
g.paths_2(0, 6, aggregate_list)
assert aggregate_list.l == [[0, 4, 6], [0, 1, 5, 6], [0, 2, 5, 6],
[0, 3, 5, 6]]
aggregate_list.l = []
g.paths_2(1, 6, aggregate_list)
assert aggregate_list.l == [[1, 5, 6]]
aggregate_list.l = []
g.paths_2(6, 1, aggregate_list)
assert aggregate_list.l == []
# All shortest paths by length
aggregate_list.l = []
g.all_shortest_paths_by_length(0, 6, aggregate_list)
assert aggregate_list.l == [[0, 4, 6]]
aggregate_list.l = []
g.all_shortest_paths_by_length(0, 5, aggregate_list)
assert aggregate_list.l == [[0, 1, 5], [0, 2, 5], [0, 3, 5]]
# shortest path by length
assert g.shortest_path_by_length(0, 6) == [0, 4, 6]
assert g.shortest_path_by_length(0, 5) == [0, 1, 5]
assert g.shortest_path_by_length(6, 1) == []
def basic_testcases(): g = Graph(3) assert str(g) == str([[None]*3]*3) g.add_edge(1,2) g.add_edge(1,0) assert str(g) == "[[None, 1, None], [1, None, 1], [None, 1, None]]" # directed graph g = Graph(3, directed=True) g.add_edge(1,2) g.add_edge(1,2) # duplicate - won't be added to adjacency lists g.add_edge(1,0) assert str(g) == "[[None, None, None], [1, None, 1], [None, None, None]]" # weighted undirected graph g = Graph(3) g.add_edge(1,2, 5) g.add_edge(1,2, 10) # duplicate - Update weight g.add_edge(1,0, 11) assert str(g) == "[[None, 11, None], [11, None, 10], [None, 10, None]]" # weighted directed graph g = Graph(3, directed=True) g.add_edge(1,2, 5) g.add_edge(1,2, 10) # duplicate - Update weight g.add_edge(1,0, 11) assert str(g) == "[[None, None, None], [11, None, 10], [None, None, None]]"
def basic_testcases():
g = Graph(3)
assert g.get_adjmatrix() == \
[
[None, None, None],
[None, None, None],
[None, None, None]
]
attribute_error_raised = False
try:
g.get_adjlists()
except AttributeError:
attribute_error_raised = True
# Graph uses adjacency matrix for underlying storage
# and won't have an adjacency list
assert (attribute_error_raised == True)
# undirected graph
g.add_edge(1, 2)
g.add_edge(1, 2) # duplicate - won't be added to adjacency lists
g.add_edge(1, 0)
assert g.get_adjmatrix() == \
[
[None, 1, None],
[1, None, 1],
[None, 1, None]
]
assert [v for v, _ in g.get_neighbors(0)] == [1]
assert [v for v, _ in g.get_neighbors(1)] == [0, 2]
assert [v for v, _ in g.get_neighbors(2)] == [1]
# directed graph
g = Graph(3, directed=True)
g.add_edge(1, 2)
g.add_edge(1, 2) # duplicate - won't be added to adjacency lists
g.add_edge(1, 0)
assert g.get_adjmatrix() == \
[
[None, None, None],
[1, None, 1],
[None, None, None]
]
assert [v for v, _ in g.get_neighbors(0)] == []
assert [v for v, _ in g.get_neighbors(1)] == [0, 2]
assert [v for v, _ in g.get_neighbors(2)] == []
# weighted undirected graph
g = Graph(3)
g.add_edge(1, 2, 5)
g.add_edge(1, 2, 10) # duplicate - update weight
g.add_edge(1, 0, 11)
assert g.get_adjmatrix() == \
[
[None, 11, None],
[11, None, 10],
[None, 10, None]
]
assert [x for x in g.get_neighbors(0)] == [(1, 11)]
assert [x for x in g.get_neighbors(1)] == [(0, 11), (2, 10)]
assert [x for x in g.get_neighbors(2)] == [(1, 10)]
# weighted directed graph
g = Graph(3, directed=True)
g.add_edge(1, 2, 5)
g.add_edge(1, 2, 10) # duplicate - Update weight
g.add_edge(1, 0, 11)
assert g.get_adjmatrix() == \
[
[None, None, None],
[11, None, 10],
[None, None, None]
]
assert [x for x in g.get_neighbors(0)] == []
assert [x for x in g.get_neighbors(1)] == [(0, 11), (2, 10)]
assert [x for x in g.get_neighbors(2)] == []