def test_astar_search1():
""" The initial state is the goal state, so the plan is an empty list"""
assert a_star.astar_search(task1, h1,
make_open_entry=a_star.ordered_node_astar) == []
def test_astar_search3():
assert len(a_star.astar_search(
task3, h3, make_open_entry=a_star.ordered_node_astar)) == 4
def test_astar_search4():
""" The task is unsolvable """
assert a_star.astar_search(task4,
h4, make_open_entry=a_star.ordered_node_astar) is None
def test_astar_search2():
""" The plan has length 3 """
assert len(a_star.astar_search(
task2, h2, make_open_entry=a_star.ordered_node_astar)) == 3
def test_astar_search2():
""" The plan has length 3 """
assert len(
a_star.astar_search(task2,
h2,
make_open_entry=a_star.ordered_node_astar)) == 3
def test_astar_search1():
""" The initial state is the goal state, so the plan is an empty list"""
assert a_star.astar_search(
task1, h1, make_open_entry=a_star.ordered_node_astar) == []
def test_astar_search4():
""" The task is unsolvable """
assert a_star.astar_search(
task4, h4, make_open_entry=a_star.ordered_node_astar) is None
def test_astar_search3():
assert len(
a_star.astar_search(task3,
h3,
make_open_entry=a_star.ordered_node_astar)) == 4
