def print_minimum(self):
self.info('print_minimum:')
connections = self.compute_connections(only_close_enough=False)
self.show_connections(connections, 'all of them')
nodes1 = list(self.tree1.G.nodes())
nodes2 = list(self.tree2.G.nodes())
# TODO: do not compute all of this
Db = construct_matrix_iterators((nodes1, nodes2),
lambda n1, n2: self.distance(n1, n2))
Dp = construct_matrix_iterators(
(nodes1, nodes2), lambda n1, n2: self.distance_prediction(n1, n2))
Db_min, m = md_argmin(Db)
n1 = nodes1[m[0]]
n2 = nodes2[m[1]]
assert_allclose(Db_min, self.distance(n1, n2))
self.info('Minimum distance_branch: %g between %s and %s' %
(Db_min, self.tree1.node_friendly(n1),
self.tree2.node_friendly(n2)))
Dp_min, m = md_argmin(Dp)
n1 = nodes1[m[0]]
n2 = nodes2[m[1]]
assert_allclose(Dp_min, self.distance_prediction(n1, n2))
self.info('Minimum distance_prediction: %g between %s and %s' %
(Dp_min, self.tree1.node_friendly(n1),
self.tree2.node_friendly(n2)))
def print_minimum(self):
self.info('print_minimum:')
connections = self.compute_connections(only_close_enough=False)
self.show_connections(connections, 'all of them')
nodes1 = list(self.tree1.G.nodes())
nodes2 = list(self.tree2.G.nodes())
# TODO: do not compute all of this
Db = construct_matrix_iterators((nodes1, nodes2),
lambda n1, n2: self.distance(n1, n2))
Dp = construct_matrix_iterators((nodes1, nodes2),
lambda n1, n2: self.distance_prediction(n1, n2))
Db_min, m = md_argmin(Db)
n1 = nodes1[m[0]]
n2 = nodes2[m[1]]
assert_allclose(Db_min, self.distance(n1, n2))
self.info('Minimum distance_branch: %g between %s and %s' %
(Db_min, self.tree1.node_friendly(n1),
self.tree2.node_friendly(n2)))
Dp_min, m = md_argmin(Dp)
n1 = nodes1[m[0]]
n2 = nodes2[m[1]]
assert_allclose(Dp_min, self.distance_prediction(n1, n2))
self.info('Minimum distance_prediction: %g between %s and %s' %
(Dp_min, self.tree1.node_friendly(n1),
self.tree2.node_friendly(n2)))
def get_distance_matrix(self, plans, action_distance):
D_ij = lambda p1, p2: action_distance(
self.plan2action(p1),
self.plan2action(p2))
D = construct_matrix_iterators((plans, plans), D_ij)
return plans, D
def get_distance_matrix(self, plans, action_distance):
D_ij = lambda p1, p2: action_distance(self.plan2action(p1),
self.plan2action(p2))
D = construct_matrix_iterators((plans, plans), D_ij)
return plans, D
