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# -*- coding: utf-8 -*-
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
from __future__ import absolute_import, print_function, unicode_literals
import unittest
from taskgraph.graph import Graph
from mozunit import main
class TestGraph(unittest.TestCase):
tree = Graph(
set(["a", "b", "c", "d", "e", "f", "g"]),
{
("a", "b", "L"),
("a", "c", "L"),
("b", "d", "K"),
("b", "e", "K"),
("c", "f", "N"),
("c", "g", "N"),
},
)
linear = Graph(
set(["1", "2", "3", "4"]),
{
("1", "2", "L"),
("2", "3", "L"),
("3", "4", "L"),
},
)
diamonds = Graph(
set(["A", "B", "C", "D", "E", "F", "G", "H", "I", "J"]),
set(
tuple(x)
for x in "AFL ADL BDL BEL CEL CHL DFL DGL EGL EHL FIL GIL GJL HJL".split()
),
)
multi_edges = Graph(
set(["1", "2", "3", "4"]),
{
("2", "1", "red"),
("2", "1", "blue"),
("3", "1", "red"),
("3", "2", "blue"),
("3", "2", "green"),
("4", "3", "green"),
},
)
disjoint = Graph(
set(["1", "2", "3", "4", "α", "β", "γ"]),
{
("2", "1", "red"),
("3", "1", "red"),
("3", "2", "green"),
("4", "3", "green"),
("α", "β", "πράσινο"),
("β", "γ", "κόκκινο"),
("α", "γ", "μπλε"),
},
)
def test_transitive_closure_empty(self):
"transitive closure of an empty set is an empty graph"
g = Graph(set(["a", "b", "c"]), {("a", "b", "L"), ("a", "c", "L")})
self.assertEqual(g.transitive_closure(set()), Graph(set(), set()))
def test_transitive_closure_disjoint(self):
"transitive closure of a disjoint set is a subset"
g = Graph(set(["a", "b", "c"]), set())
self.assertEqual(
g.transitive_closure(set(["a", "c"])), Graph(set(["a", "c"]), set())
)
def test_transitive_closure_trees(self):
"transitive closure of a tree, at two non-root nodes, is the two subtrees"
self.assertEqual(
self.tree.transitive_closure(set(["b", "c"])),
Graph(
set(["b", "c", "d", "e", "f", "g"]),
{
("b", "d", "K"),
("b", "e", "K"),
("c", "f", "N"),
("c", "g", "N"),
},
),
)
def test_transitive_closure_multi_edges(self):
"transitive closure of a tree with multiple edges between nodes keeps those edges"
self.assertEqual(
self.multi_edges.transitive_closure(set(["3"])),
Graph(
set(["1", "2", "3"]),
{
("2", "1", "red"),
("2", "1", "blue"),
("3", "1", "red"),
("3", "2", "blue"),
("3", "2", "green"),
},
),
)
def test_transitive_closure_disjoint_edges(self):
"transitive closure of a disjoint graph keeps those edges"
self.assertEqual(
self.disjoint.transitive_closure(set(["3", "β"])),
Graph(
set(["1", "2", "3", "β", "γ"]),
{
("2", "1", "red"),
("3", "1", "red"),
("3", "2", "green"),
("β", "γ", "κόκκινο"),
},
),
)
def test_transitive_closure_linear(self):
"transitive closure of a linear graph includes all nodes in the line"
self.assertEqual(self.linear.transitive_closure(set(["1"])), self.linear)
def test_visit_postorder_empty(self):
"postorder visit of an empty graph is empty"
self.assertEqual(list(Graph(set(), set()).visit_postorder()), [])
def assert_postorder(self, seq, all_nodes):
seen = set()
for e in seq:
for l, r, n in self.tree.edges:
if l == e:
self.assertTrue(r in seen)
seen.add(e)
self.assertEqual(seen, all_nodes)
def test_visit_postorder_tree(self):
"postorder visit of a tree satisfies invariant"
self.assert_postorder(self.tree.visit_postorder(), self.tree.nodes)
def test_visit_postorder_diamonds(self):
"postorder visit of a graph full of diamonds satisfies invariant"
self.assert_postorder(self.diamonds.visit_postorder(), self.diamonds.nodes)
def test_visit_postorder_multi_edges(self):
"postorder visit of a graph with duplicate edges satisfies invariant"
self.assert_postorder(
self.multi_edges.visit_postorder(), self.multi_edges.nodes
)
def test_visit_postorder_disjoint(self):
"postorder visit of a disjoint graph satisfies invariant"
self.assert_postorder(self.disjoint.visit_postorder(), self.disjoint.nodes)
def assert_preorder(self, seq, all_nodes):
seen = set()
for e in seq:
for l, r, n in self.tree.edges:
if r == e:
self.assertTrue(l in seen)
seen.add(e)
self.assertEqual(seen, all_nodes)
def test_visit_preorder_tree(self):
"preorder visit of a tree satisfies invariant"
self.assert_preorder(self.tree.visit_preorder(), self.tree.nodes)
def test_visit_preorder_diamonds(self):
"preorder visit of a graph full of diamonds satisfies invariant"
self.assert_preorder(self.diamonds.visit_preorder(), self.diamonds.nodes)
def test_visit_preorder_multi_edges(self):
"preorder visit of a graph with duplicate edges satisfies invariant"
self.assert_preorder(self.multi_edges.visit_preorder(), self.multi_edges.nodes)
def test_visit_preorder_disjoint(self):
"preorder visit of a disjoint graph satisfies invariant"
self.assert_preorder(self.disjoint.visit_preorder(), self.disjoint.nodes)
def test_links_dict(self):
"link dict for a graph with multiple edges is correct"
self.assertEqual(
self.multi_edges.links_dict(),
{
"2": set(["1"]),
"3": set(["1", "2"]),
"4": set(["3"]),
},
)
def test_named_links_dict(self):
"named link dict for a graph with multiple edges is correct"
self.assertEqual(
self.multi_edges.named_links_dict(),
{
"2": dict(red="1", blue="1"),
"3": dict(red="1", blue="2", green="2"),
"4": dict(green="3"),
},
)
def test_reverse_links_dict(self):
"reverse link dict for a graph with multiple edges is correct"
self.assertEqual(
self.multi_edges.reverse_links_dict(),
{
"1": set(["2", "3"]),
"2": set(["3"]),
"3": set(["4"]),
},
)
if __name__ == "__main__":
main()
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