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Accelerate tests with Revise.jl
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@@ -3,51 +3,52 @@
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using RELOG
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@testset "compress" begin
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basedir = dirname(@__FILE__)
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instance = RELOG.parsefile("$basedir/../../instances/s1.json")
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compressed = RELOG._compress(instance)
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function compress_test()
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@testset "compress" begin
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instance = RELOG.parsefile(fixture("instances/s1.json"))
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compressed = RELOG._compress(instance)
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product_name_to_product = Dict(p.name => p for p in compressed.products)
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location_name_to_facility = Dict()
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for p in compressed.plants
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location_name_to_facility[p.location_name] = p
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product_name_to_product = Dict(p.name => p for p in compressed.products)
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location_name_to_facility = Dict()
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for p in compressed.plants
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location_name_to_facility[p.location_name] = p
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end
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for c in compressed.collection_centers
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location_name_to_facility[c.name] = c
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end
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p1 = product_name_to_product["P1"]
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p2 = product_name_to_product["P2"]
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p3 = product_name_to_product["P3"]
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c1 = location_name_to_facility["C1"]
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l1 = location_name_to_facility["L1"]
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@test compressed.time == 1
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@test compressed.building_period == [1]
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@test p1.name == "P1"
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@test p1.transportation_cost ≈ [0.015]
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@test p1.transportation_energy ≈ [0.115]
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@test p1.transportation_emissions["CO2"] ≈ [0.051]
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@test p1.transportation_emissions["CH4"] ≈ [0.0025]
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@test c1.name == "C1"
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@test c1.amount ≈ [1869.12]
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@test l1.plant_name == "F1"
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@test l1.location_name == "L1"
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@test l1.energy ≈ [0.115]
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@test l1.emissions["CO2"] ≈ [0.051]
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@test l1.emissions["CH4"] ≈ [0.0025]
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@test l1.sizes[1].opening_cost ≈ [500]
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@test l1.sizes[2].opening_cost ≈ [1250]
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@test l1.sizes[1].fixed_operating_cost ≈ [60]
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@test l1.sizes[2].fixed_operating_cost ≈ [60]
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@test l1.sizes[1].variable_operating_cost ≈ [30]
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@test l1.sizes[2].variable_operating_cost ≈ [30]
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@test l1.disposal_limit[p2] ≈ [2.0]
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@test l1.disposal_limit[p3] ≈ [2.0]
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@test l1.disposal_cost[p2] ≈ [-10.0]
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@test l1.disposal_cost[p3] ≈ [-10.0]
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end
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for c in compressed.collection_centers
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location_name_to_facility[c.name] = c
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end
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p1 = product_name_to_product["P1"]
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p2 = product_name_to_product["P2"]
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p3 = product_name_to_product["P3"]
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c1 = location_name_to_facility["C1"]
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l1 = location_name_to_facility["L1"]
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@test compressed.time == 1
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@test compressed.building_period == [1]
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@test p1.name == "P1"
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@test p1.transportation_cost ≈ [0.015]
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@test p1.transportation_energy ≈ [0.115]
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@test p1.transportation_emissions["CO2"] ≈ [0.051]
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@test p1.transportation_emissions["CH4"] ≈ [0.0025]
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@test c1.name == "C1"
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@test c1.amount ≈ [1869.12]
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@test l1.plant_name == "F1"
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@test l1.location_name == "L1"
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@test l1.energy ≈ [0.115]
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@test l1.emissions["CO2"] ≈ [0.051]
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@test l1.emissions["CH4"] ≈ [0.0025]
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@test l1.sizes[1].opening_cost ≈ [500]
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@test l1.sizes[2].opening_cost ≈ [1250]
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@test l1.sizes[1].fixed_operating_cost ≈ [60]
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@test l1.sizes[2].fixed_operating_cost ≈ [60]
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@test l1.sizes[1].variable_operating_cost ≈ [30]
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@test l1.sizes[2].variable_operating_cost ≈ [30]
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@test l1.disposal_limit[p2] ≈ [2.0]
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@test l1.disposal_limit[p3] ≈ [2.0]
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@test l1.disposal_cost[p2] ≈ [-10.0]
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@test l1.disposal_cost[p3] ≈ [-10.0]
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end
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end
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@@ -4,22 +4,24 @@
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using RELOG
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@testset "geodb_query (2018-us-county)" begin
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region = RELOG.geodb_query("2018-us-county:17043")
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@test region.centroid.lat == 41.83956
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@test region.centroid.lon == -88.08857
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@test region.population == 922_921
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end
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function geodb_test()
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@testset "geodb_query (2018-us-county)" begin
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region = RELOG.geodb_query("2018-us-county:17043")
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@test region.centroid.lat == 41.83956
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@test region.centroid.lon == -88.08857
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@test region.population == 922_921
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end
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# @testset "geodb_query (2018-us-zcta)" begin
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# region = RELOG.geodb_query("2018-us-zcta:60439")
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# @test region.centroid.lat == 41.68241
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# @test region.centroid.lon == -87.98954
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# end
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# @testset "geodb_query (2018-us-zcta)" begin
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# region = RELOG.geodb_query("2018-us-zcta:60439")
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# @test region.centroid.lat == 41.68241
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# @test region.centroid.lon == -87.98954
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# end
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@testset "geodb_query (us-state)" begin
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region = RELOG.geodb_query("us-state:IL")
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@test region.centroid.lat == 39.73939
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@test region.centroid.lon == -89.50414
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@test region.population == 12_671_821
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end
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@testset "geodb_query (us-state)" begin
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region = RELOG.geodb_query("us-state:IL")
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@test region.centroid.lat == 39.73939
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@test region.centroid.lon == -89.50414
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@test region.population == 12_671_821
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end
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end
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@@ -3,91 +3,90 @@
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using RELOG
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@testset "parse" begin
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basedir = dirname(@__FILE__)
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instance = RELOG.parsefile("$basedir/../../instances/s1.json")
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function parse_test()
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@testset "parse" begin
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instance = RELOG.parsefile(fixture("instances/s1.json"))
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centers = instance.collection_centers
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plants = instance.plants
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products = instance.products
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location_name_to_plant = Dict(p.location_name => p for p in plants)
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product_name_to_product = Dict(p.name => p for p in products)
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centers = instance.collection_centers
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plants = instance.plants
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products = instance.products
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location_name_to_plant = Dict(p.location_name => p for p in plants)
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product_name_to_product = Dict(p.name => p for p in products)
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@test length(centers) == 10
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@test centers[1].name == "C1"
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@test centers[1].latitude == 7
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@test centers[1].latitude == 7
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@test centers[1].longitude == 7
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@test centers[1].amount == [934.56, 934.56]
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@test centers[1].product.name == "P1"
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@test length(centers) == 10
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@test centers[1].name == "C1"
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@test centers[1].latitude == 7
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@test centers[1].latitude == 7
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@test centers[1].longitude == 7
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@test centers[1].amount == [934.56, 934.56]
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@test centers[1].product.name == "P1"
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@test length(plants) == 6
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@test length(plants) == 6
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plant = location_name_to_plant["L1"]
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@test plant.plant_name == "F1"
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@test plant.location_name == "L1"
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@test plant.input.name == "P1"
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@test plant.latitude == 0
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@test plant.longitude == 0
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plant = location_name_to_plant["L1"]
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@test plant.plant_name == "F1"
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@test plant.location_name == "L1"
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@test plant.input.name == "P1"
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@test plant.latitude == 0
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@test plant.longitude == 0
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@test length(plant.sizes) == 2
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@test plant.sizes[1].capacity == 250
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@test plant.sizes[1].opening_cost == [500, 500]
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@test plant.sizes[1].fixed_operating_cost == [30, 30]
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@test plant.sizes[1].variable_operating_cost == [30, 30]
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@test plant.sizes[2].capacity == 1000
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@test plant.sizes[2].opening_cost == [1250, 1250]
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@test plant.sizes[2].fixed_operating_cost == [30, 30]
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@test plant.sizes[2].variable_operating_cost == [30, 30]
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@test length(plant.sizes) == 2
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@test plant.sizes[1].capacity == 250
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@test plant.sizes[1].opening_cost == [500, 500]
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@test plant.sizes[1].fixed_operating_cost == [30, 30]
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@test plant.sizes[1].variable_operating_cost == [30, 30]
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@test plant.sizes[2].capacity == 1000
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@test plant.sizes[2].opening_cost == [1250, 1250]
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@test plant.sizes[2].fixed_operating_cost == [30, 30]
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@test plant.sizes[2].variable_operating_cost == [30, 30]
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p1 = product_name_to_product["P1"]
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@test p1.disposal_limit == [1.0, 1.0]
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@test p1.disposal_cost == [-1000.0, -1000.0]
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p1 = product_name_to_product["P1"]
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@test p1.disposal_limit == [1.0, 1.0]
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@test p1.disposal_cost == [-1000.0, -1000.0]
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p2 = product_name_to_product["P2"]
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@test p2.disposal_limit == [0.0, 0.0]
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@test p2.disposal_cost == [0.0, 0.0]
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p2 = product_name_to_product["P2"]
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@test p2.disposal_limit == [0.0, 0.0]
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@test p2.disposal_cost == [0.0, 0.0]
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p3 = product_name_to_product["P3"]
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@test length(plant.output) == 2
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@test plant.output[p2] == 0.2
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@test plant.output[p3] == 0.5
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@test plant.disposal_limit[p2] == [1, 1]
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@test plant.disposal_limit[p3] == [1, 1]
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@test plant.disposal_cost[p2] == [-10, -10]
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@test plant.disposal_cost[p3] == [-10, -10]
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p3 = product_name_to_product["P3"]
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@test length(plant.output) == 2
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@test plant.output[p2] == 0.2
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@test plant.output[p3] == 0.5
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@test plant.disposal_limit[p2] == [1, 1]
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@test plant.disposal_limit[p3] == [1, 1]
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@test plant.disposal_cost[p2] == [-10, -10]
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@test plant.disposal_cost[p3] == [-10, -10]
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plant = location_name_to_plant["L3"]
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@test plant.location_name == "L3"
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@test plant.input.name == "P2"
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@test plant.latitude == 25
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@test plant.longitude == 65
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plant = location_name_to_plant["L3"]
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@test plant.location_name == "L3"
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@test plant.input.name == "P2"
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@test plant.latitude == 25
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@test plant.longitude == 65
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@test length(plant.sizes) == 2
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@test plant.sizes[1].capacity == 1000.0
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@test plant.sizes[1].opening_cost == [3000, 3000]
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@test plant.sizes[1].fixed_operating_cost == [50, 50]
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@test plant.sizes[1].variable_operating_cost == [50, 50]
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@test plant.sizes[1] == plant.sizes[2]
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@test length(plant.sizes) == 2
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@test plant.sizes[1].capacity == 1000.0
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@test plant.sizes[1].opening_cost == [3000, 3000]
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@test plant.sizes[1].fixed_operating_cost == [50, 50]
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@test plant.sizes[1].variable_operating_cost == [50, 50]
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@test plant.sizes[1] == plant.sizes[2]
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p4 = product_name_to_product["P4"]
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@test plant.output[p3] == 0.05
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@test plant.output[p4] == 0.8
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@test plant.disposal_limit[p3] == [1e8, 1e8]
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@test plant.disposal_limit[p4] == [0, 0]
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end
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p4 = product_name_to_product["P4"]
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@test plant.output[p3] == 0.05
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@test plant.output[p4] == 0.8
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@test plant.disposal_limit[p3] == [1e8, 1e8]
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@test plant.disposal_limit[p4] == [0, 0]
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end
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@testset "parse (geodb)" begin
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basedir = dirname(@__FILE__)
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instance = RELOG.parsefile("$basedir/../../instances/s2.json")
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@testset "parse (geodb)" begin
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instance = RELOG.parsefile(fixture("instances/s2.json"))
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centers = instance.collection_centers
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@test centers[1].name == "C1"
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@test centers[1].latitude == 41.83956
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@test centers[1].longitude == -88.08857
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end
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centers = instance.collection_centers
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@test centers[1].name == "C1"
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@test centers[1].latitude == 41.83956
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@test centers[1].longitude == -88.08857
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end
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# @testset "parse (invalid)" begin
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# basedir = dirname(@__FILE__)
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# @test_throws ErrorException RELOG.parsefile("$basedir/../fixtures/s1-wrong-length.json")
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# end
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# @testset "parse (invalid)" begin
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# @test_throws ErrorException RELOG.parsefile(fixture("s1-wrong-length.json"))
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# end
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end
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