def test_lscp_invalid_coverages(self):
with pytest.raises(TypeError) as e:
p = Problem.lscp(None)
assert (
e.value.args[0] ==
"Expected 'Coverage' or 'list' type for coverages, got '<class 'NoneType'>'"
)
def test_multiple_supply_arcgis(self):
demand_col = "Population"
demand_id_col = "GEOID10"
supply_id_col = "ORIG_ID"
d = arcgis.GeoAccessor.from_featureclass(
os.path.join(self.dir_name, "../test_data/demand_point.shp"))
s = arcgis.GeoAccessor.from_featureclass(
os.path.join(self.dir_name,
"../test_data/facility_service_areas.shp"))
s2 = arcgis.GeoAccessor.from_featureclass(
os.path.join(self.dir_name,
"../test_data/facility2_service_areas.shp"))
coverage = Coverage.from_spatially_enabled_dataframes(
d, s, demand_id_col, supply_id_col, demand_col=demand_col)
coverage2 = Coverage.from_spatially_enabled_dataframes(
d,
s2,
demand_id_col,
supply_id_col,
demand_name=coverage.demand_name,
demand_col=demand_col)
problem = Problem.lscp([coverage, coverage2])
problem.solve(pulp.GLPK())
selected_locations = problem.selected_supply(coverage)
selected_locations2 = problem.selected_supply(coverage2)
covered_demand = d.query(
f"{demand_id_col} in ({[f'{i}' for i in problem.selected_demand(coverage)]})"
)
coverage = math.ceil(
(covered_demand[demand_col].sum() / d[demand_col].sum()) * 100)
assert (len(selected_locations) >= 5)
assert (len(selected_locations2) >= 17)
assert (coverage == 100)
def test_single_supply_arcgis(self):
demand_id_col = "GEOID10"
supply_id_col = "ORIG_ID"
d = arcgis.GeoAccessor.from_featureclass(
os.path.join(self.dir_name, "../test_data/demand_point.shp"))
s = arcgis.GeoAccessor.from_featureclass(
os.path.join(self.dir_name,
"../test_data/facility_service_areas.shp"))
coverage = Coverage.from_spatially_enabled_dataframes(
d, s, demand_id_col, supply_id_col)
problem = Problem.lscp(coverage)
with pytest.raises((InfeasibleException, UndefinedException)) as e:
problem.solve(pulp.GLPK())
def test_single_supply(self):
demand_id_col = "GEOID10"
supply_id_col = "ORIG_ID"
d = geopandas.read_file(
os.path.join(self.dir_name, "../test_data/demand_point.shp"))
s = geopandas.read_file(
os.path.join(self.dir_name,
"../test_data/facility_service_areas.shp"))
coverage = Coverage.from_geodataframes(d, s, demand_id_col,
supply_id_col)
problem = Problem.lscp(coverage)
with pytest.raises((InfeasibleException, UndefinedException)) as e:
problem.solve(pulp.GLPK())
def test_lscp_invalid_coverages3(self, partial_coverage):
with pytest.raises(ValueError) as e:
p = Problem.lscp(partial_coverage)
assert (e.value.args[0] ==
"LSCP can only be generated from binary coverage.")
def test_lscp_invalid_coverages2(self, binary_coverage, partial_coverage):
with pytest.raises(ValueError) as e:
p = Problem.lscp([binary_coverage, partial_coverage])
assert (
e.value.args[0] ==
"Invalid coverages. Coverages must have the same coverage type.")
def test_lscp(self, binary_coverage, binary_coverage2):
p = Problem.lscp([binary_coverage, binary_coverage2])
assert (p.problem_type == "lscp")