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try:
net.add_directed_arc(node_key_a="E1", node_key_b="B", arcs=lossless_arcs)
except ValueError:
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error_raised = True
assert error_raised
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# # remove the troublesome arc
# net.remove_edge(u="E1", v="B")
# *********************************************************************
# create a new import node
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net.add_import_node("I1", prices={(0, 0, 0): resource_price})
# create an arc ending in that import node
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error_raised = False
try:
net.add_directed_arc(node_key_a="A", node_key_b="I1", arcs=lossless_arcs)
except ValueError:
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error_raised = True
assert error_raised
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# # remove the troublesome arc
# net.remove_edge(u="A", v="I1")
# *********************************************************************
# check non-existent arc
net.arc_is_undirected(("X", "Y", 1))
# *************************************************************************
# *************************************************************************
def test_undirected_arc_import_error(self):
# network
mynet = Network()
# import node
imp_node_key = generate_pseudo_unique_key(mynet.nodes())
mynet.add_import_node(
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imp_node_key,
prices={
(0, 0, 0): ResourcePrice(prices=1+0.05, volumes=None)
},
)
# other nodes
node_A = generate_pseudo_unique_key(mynet.nodes())
mynet.add_source_sink_node(
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node_A,
# base_flow=[1, -1, 0.5, -0.5]
base_flow={(0, 0): 1, (0, 1): -1, (0, 2): 0.5, (0, 3): -0.5},
)
node_B = generate_pseudo_unique_key(mynet.nodes())
mynet.add_source_sink_node(
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node_B,
# base_flow=[-1, 1, -0.5, 0.5]
base_flow={(0, 0): -1, (0, 1): 1, (0, 2): -0.5, (0, 3): 0.5},
)
# add arcs
# import arc
arc_tech_IA = Arcs(
name="any",
# efficiency=[1, 1, 1, 1],
efficiency={(0, 0): 1, (0, 1): 1, (0, 2): 1, (0, 3): 1},
capacity=[0.5, 0.75, 1.0, 1.25, 1.5, 2.0],
minimum_cost=[10, 10.1, 10.2, 10.3, 10.4, 10.5],
specific_capacity_cost=1,
capacity_is_instantaneous=False,
efficiency_reverse=None,
static_loss=None,
validate=False,
)
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# ValueError: Undirected arcs cannot involve import or export nodes.
mynet.add_undirected_arc(
node_key_a=imp_node_key, node_key_b=node_A, arcs=arc_tech_IA
)
except ValueError:
error_raised = True
assert error_raised
# *********************************************************************
# *********************************************************************
# *************************************************************************
# *************************************************************************
def test_undirected_arc_export_error(self):
# 4 nodes: one import, one export, two supply/demand nodes
mynet = Network()
# export node
exp_node_key = generate_pseudo_unique_key(mynet.nodes())
mynet.add_export_node(
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exp_node_key,
prices={
(0, 0, 0): ResourcePrice(prices=0.1+0.05, volumes=None)
},
)
# other nodes
node_B = generate_pseudo_unique_key(mynet.nodes())
mynet.add_source_sink_node(
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node_B,
# base_flow=[-1, 1, -0.5, 0.5]
base_flow={(0, 0): -1, (0, 1): 1, (0, 2): -0.5, (0, 3): 0.5},
)
# export arc
arc_tech_BE = Arcs(
name="any",
# efficiency=[1, 1, 1, 1],
efficiency={(0, 0): 1, (0, 1): 1, (0, 2): 1, (0, 3): 1},
capacity=[0.5, 0.75, 1.0, 1.25, 1.5, 2.0],
minimum_cost=[10, 10.1, 10.2, 10.3, 10.4, 10.5],
specific_capacity_cost=1,
capacity_is_instantaneous=False,
efficiency_reverse=None,
static_loss=None,
validate=False,
)
error_raised = False
try:
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# ValueError: Undirected arcs cannot involve import or export nodes.
mynet.add_undirected_arc(
node_key_a=node_B, node_key_b=exp_node_key, arcs=arc_tech_BE
)
except ValueError:
error_raised = True
assert error_raised
# *************************************************************************
# *************************************************************************
def test_tree_topology(self):
# create a network object with a tree topology
tree_network = binomial_tree(3, create_using=MultiDiGraph)
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network = Network(network_type=Network.NET_TYPE_TREE, incoming_graph_data=tree_network)
for edge_key in network.edges(keys=True):
arc = ArcsWithoutLosses(
name=str(edge_key),
capacity=[5, 10],
minimum_cost=[3, 6],
specific_capacity_cost=0,
capacity_is_instantaneous=False,
)
network.add_edge(*edge_key, **{Network.KEY_ARC_TECH: arc})
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# assert that it should have a tree topology
assert network.should_be_tree_network()
# assert that it does not have a tree topology
assert not network.has_tree_topology()
# select all the nodes
for edge_key in network.edges(keys=True):
network.edges[edge_key][Network.KEY_ARC_TECH].options_selected[0] = True
# assert that it has a tree topology
assert network.has_tree_topology()
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# *************************************************************************
# *************************************************************************
def test_pseudo_unique_key_generation(self):
# create network
network = Network()
# add node A
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network.add_waypoint_node("A")
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network.add_waypoint_node("B")
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# add arcs
key_list = [
"3e225573-4e78-48c8-bb08-efbeeb795c22",
"f6d30428-15d1-41e9-a952-0742eaaa5a31",
"8c29b906-2518-41c5-ada8-07b83508b5b8",
"f9a72a39-1422-4a02-af97-906ce79c32a3",
"b6941a48-10cc-465d-bf53-178bd2939bd1",
]
for key in key_list:
network.add_edge(
u_for_edge="A",
v_for_edge="B",
key=key,
**{network.KEY_ARC_UND: False, network.KEY_ARC_TECH: None}
)
# use a seed number to trigger more iterations
import uuid
rand = random.Random()
rand.seed(360)
uuid.uuid4 = lambda: uuid.UUID(int=rand.getrandbits(128), version=4)
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error_raised = False
try:
_ = network.get_pseudo_unique_arc_key(
node_key_start="A", node_key_end="B", max_iterations=len(key_list) - 1
)
except Exception:
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error_raised = True
assert error_raised
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# *************************************************************************
# *************************************************************************
def test_imp_exp_static_losses(self):
# assessment
q = 0
# 4 nodes: one import, one export, two supply/demand nodes
mynet = Network()
# import node
imp_node_key = generate_pseudo_unique_key(mynet.nodes())
imp_prices = {
qpk: ResourcePrice(
prices=0.5,
volumes=None,
)
for qpk in [(0,0,0),(0,0,1),(0,1,0),(0,1,1)]
}
mynet.add_import_node(
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imp_node_key,
prices=imp_prices
)
# export node
exp_node_key = generate_pseudo_unique_key(mynet.nodes())
exp_prices = {
qpk: ResourcePrice(
prices=1.5,
volumes=None,
)
for qpk in [(0,0,0),(0,0,1),(0,1,0),(0,1,1)]
}
mynet.add_export_node(
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exp_node_key,
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prices=exp_prices,
)
# add arc with fixed losses from import node to export
arc_tech_IE_fix = Arcs(
name="IE_fix",
# efficiency=[1, 1, 1, 1],
efficiency={(q, 0): 1, (q, 1): 1},
efficiency_reverse=None,
validate=False,
capacity=[0.5, 1.0, 2.0],
minimum_cost=[5, 5.1, 5.2],
specific_capacity_cost=1,
capacity_is_instantaneous=False,
# static_losses=[
# [0.10, 0.15, 0.20, 0.25],
# [0.15, 0.20, 0.25, 0.30],
# [0.20, 0.25, 0.30, 0.35]]
static_loss={
(0, q, 0): 0.10,
(0, q, 1): 0.15,
(1, q, 0): 0.15,
(1, q, 1): 0.20,
(2, q, 0): 0.20,
(2, q, 1): 0.25,
},
)
error_raised = False
try:
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# ValueError: Arcs between import and export nodes cannot have static losses.
mynet.add_directed_arc(
node_key_a=imp_node_key, node_key_b=exp_node_key, arcs=arc_tech_IE_fix
)
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except ValueError:
error_raised = True
assert error_raised
# *************************************************************************
# *************************************************************************
def test_antiparallel_arcs(self):
# create network
net = Network()
# add nodes
node_a = 'A'
net.add_waypoint_node(node_a)
node_b = 'B'
net.add_waypoint_node(node_b)
node_c = 'C'
net.add_waypoint_node(node_c)
# add arcs
node_pairs = ((node_a, node_b), (node_b, node_a),)
# test network
for node_pair in node_pairs:
net.add_preexisting_directed_arc(
*node_pair,
efficiency=None,
static_loss=None,
capacity=1,
capacity_is_instantaneous=False
)
# assert that it can detected the selected antiparallel arcs
assert net.has_selected_antiparallel_arcs()
# check that it finds the right node pairs
identified_node_pairs = net.find_selected_antiparallel_arcs()
assert (node_a, node_b) in identified_node_pairs
assert (node_b, node_a) in identified_node_pairs
# *************************************************************************
# *************************************************************************
# *****************************************************************************
# *****************************************************************************