def test_concat_merges_two_states_to_one(self):
a_table = {0: [("char: a", 1)], 1: []}
a_nfa = table_to_nfa(a_table, 0, 1)
b_table = {2: [("char: b", 3)], 3: []}
b_nfa = table_to_nfa(b_table, 2, 3)
concat_graph = TC.concat(a_nfa, b_nfa)
actual_table = nfa_to_table(concat_graph.start)
expected_states = len(a_table.keys()) + len(b_table.keys()) - 1
self.assertEqual(len(actual_table.keys()), expected_states)
def test_concat_adds_single_epsilon(self):
# state 2 is removed by concat, when it is merged with state 1
expected = {0: [("char: a", 1)], 1: [("char: b", 3)], 3: []}
a_nfa = table_to_nfa({0: [("char: a", 1)], 1: []}, 0, 1)
b_nfa = table_to_nfa({2: [("char: b", 3)], 3: []}, 2, 3)
concat_graph = TC.concat(a_nfa, b_nfa)
actual = nfa_to_table(concat_graph.start)
self.assertEqual(expected, actual)
def test_union_adds_2_states(self):
expected = {
0: [("char: a", 1)],
1: [("epsilon", 5)],
2: [("char: b", 3)],
3: [("epsilon", 5)],
4: [("epsilon", 0), ("epsilon", 2)],
5: []
}
a_nfa = table_to_nfa({0: [("char: a", 1)], 1: []}, 0, 1)
b_nfa = table_to_nfa({2: [("char: b", 3)], 3: []}, 2, 3)
id_alloc = CounterStub(4)
result_nfa = TC.union(a_nfa, b_nfa, id_alloc)
result = nfa_to_table(result_nfa.start)
self.assertEqual(expected, result)
def test_overlap_doesnt_affect_dfa_sim(self):
# Table for: 'abc|bcde'
table = {
14: [("epsilon", 0), ("epsilon", 6)],
6: [("char: b", 7)],
7: [("char: c", 9)],
9: [("char: d", 11)],
11: [("char: e", 13)],
13: [("epsilon", 15)],
15: [],
0: [("char: a", 1)],
1: [("char: b", 3)],
3: [("char: c", 5)],
5: [("epsilon", 15)]
}
nfa = table_to_nfa(table, 14, 15)
runner = DFASimulator(nfa)
runner.advance_state('a')
match_end = runner.check_match()
self.assertIsNone(match_end)
self.assertListEqual(
[iter.node.id for iter in runner.dfa.get_substates()], [1])
runner.advance_state('b')
runner.advance_state('c')
match_end = runner.check_match()
self.assertEqual(match_end, 3)
runner.advance_state('d')
match_end = runner.check_match()
self.assertIsNone(match_end)
def test_single_char_failure(self):
# match agains the pattern: 'a'
table = {0: [("char: a", 1)], 1: []}
start_state = 0
end_state = 1
nfa = table_to_nfa(table, start_state, end_state)
runner = DFASimulator(nfa)
runner.advance_state('b')
match = runner.check_match()
self.assertIsNone(match)
def test_single_char_match(self):
table = {0: [("char: a", 1)], 1: []}
start_state = 0
end_state = 1
nfa = table_to_nfa(table, start_state, end_state)
runner = DFASimulator(nfa)
runner.advance_state('a')
match_end = runner.check_match()
self.assertEqual(match_end, 1)
def test_kstar(self):
# represents : "a"
nfa = table_to_nfa({0: [("char: a", 1)], 1: []}, 0, 1)
expected = {
0: [("char: a", 1)],
1: [("epsilon", 0), ("epsilon", 3)],
2: [("epsilon", 0), ("epsilon", 3)],
3: []
}
id_alloc = CounterStub(2)
result_nfa = TC.kstar(nfa, id_alloc)
actual = nfa_to_table(result_nfa.start)
self.assertEqual(expected, actual)
def test(self):
# The following table describes the pattern: 'a(b|c)'
table1 = {
0: [("char: a", 1)],
1: [("epsilon", 6)],
6: [("epsilon", 2), ("epsilon", 4)],
4: [("char: c", 5)],
5: [("epsilon", 7)],
7: [],
2: [("char: b", 3)],
3: [("epsilon", 7)]
}
nfa = util.table_to_nfa(table1, 0, 7)
table2 = util.nfa_to_table(nfa.start)
self.assertEqual(table1, table2)
