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Start implementation of circular model

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This commit is contained in:
Alinson S. Xavier
2023-11-28 10:26:07 -06:00
parent 84bd25b04d
commit 74759bd602
106 changed files with 235 additions and 39025 deletions
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54
test/src/instance/compress_test.jl
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# Copyright (C) 2020 Argonne National Laboratory
# Written by Alinson Santos Xavier <axavier@anl.gov>
using RELOG
function instance_compress_test()
@testset "compress" begin
instance = RELOG.parsefile(fixture("s1.json"))
compressed = RELOG._compress(instance)
product_name_to_product = Dict(p.name => p for p in compressed.products)
location_name_to_facility = Dict()
for p in compressed.plants
location_name_to_facility[p.location_name] = p
end
for c in compressed.collection_centers
location_name_to_facility[c.name] = c
end
p1 = product_name_to_product["P1"]
p2 = product_name_to_product["P2"]
p3 = product_name_to_product["P3"]
c1 = location_name_to_facility["C1"]
l1 = location_name_to_facility["L1"]
@test compressed.time == 1
@test compressed.building_period == [1]
@test p1.name == "P1"
@test p1.transportation_cost ≈ [0.015]
@test p1.transportation_energy ≈ [0.115]
@test p1.transportation_emissions["CO2"] ≈ [0.051]
@test p1.transportation_emissions["CH4"] ≈ [0.0025]
@test c1.name == "C1"
@test c1.amount ≈ [1869.12]
@test l1.plant_name == "F1"
@test l1.location_name == "L1"
@test l1.energy ≈ [0.115]
@test l1.emissions["CO2"] ≈ [0.051]
@test l1.emissions["CH4"] ≈ [0.0025]
@test l1.sizes[1].opening_cost ≈ [500]
@test l1.sizes[2].opening_cost ≈ [1250]
@test l1.sizes[1].fixed_operating_cost ≈ [60]
@test l1.sizes[2].fixed_operating_cost ≈ [60]
@test l1.sizes[1].variable_operating_cost ≈ [30]
@test l1.sizes[2].variable_operating_cost ≈ [30]
@test l1.disposal_limit[p2] ≈ [2.0]
@test l1.disposal_limit[p3] ≈ [2.0]
@test l1.disposal_cost[p2] ≈ [-10.0]
@test l1.disposal_cost[p3] ≈ [-10.0]
end
end

27
test/src/instance/geodb_test.jl
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# RELOG: Reverse Logistics Optimization
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
using RELOG
function instance_geodb_test()
@testset "geodb_query (2018-us-county)" begin
region = RELOG.geodb_query("2018-us-county:17043")
@test region.centroid.lat == 41.83956
@test region.centroid.lon == -88.08857
@test region.population == 922_921
end
# @testset "geodb_query (2018-us-zcta)" begin
# region = RELOG.geodb_query("2018-us-zcta:60439")
# @test region.centroid.lat == 41.68241
# @test region.centroid.lon == -87.98954
# end
@testset "geodb_query (us-state)" begin
region = RELOG.geodb_query("us-state:IL")
@test region.centroid.lat == 39.73939
@test region.centroid.lon == -89.50414
@test region.population == 12_671_821
end
end

119
test/src/instance/parse_test.jl
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# Copyright (C) 2020 Argonne National Laboratory
# Written by Alinson Santos Xavier <axavier@anl.gov>
using RELOG
using Test
using OrderedCollections
function instance_parse_test()
@testset "parse" begin
instance = RELOG.parsefile(fixture("s1.json"))
instance = RELOG.parsefile(fixture("simple.json"))
centers = instance.collection_centers
plants = instance.plants
products = instance.products
location_name_to_plant = Dict(p.location_name => p for p in plants)
product_name_to_product = Dict(p.name => p for p in products)
# Parameters
@test instance.time_horizon == 4
@test instance.building_period == [1]
@test instance.distance_metric == "driving"
@test length(centers) == 10
@test centers[1].name == "C1"
@test centers[1].latitude == 7
@test centers[1].latitude == 7
@test centers[1].longitude == 7
@test centers[1].amount == [934.56, 934.56]
@test centers[1].product.name == "P1"
# Products
@test length(instance.products) == 4
p1 = instance.products[1]
@test p1.name == "P1"
@test p1.tr_cost == [0.015, 0.015, 0.015, 0.015]
@test p1.tr_energy == [0.12, 0.12, 0.12, 0.12]
@test p1.tr_emissions ==
Dict("CO2" => [0.052, 0.052, 0.052, 0.052], "CH4" => [0.003, 0.003, 0.003, 0.003])
@test instance.products_by_name["P1"] === p1
p2 = instance.products[2]
p3 = instance.products[3]
@test length(plants) == 6
# Centers
@test length(instance.centers) == 3
c1 = instance.centers[1]
@test c1.latitude == 41.881
@test c1.longitude == -87.623
@test c1.input === p1
@test c1.outputs == [p2, p3]
@test c1.fixed_output == Dict(p2 => [100, 50, 0, 0], p3 => [20, 10, 0, 0])
@test c1.var_output ==
Dict(p2 => [0.12, 0.25, 0.12, 0.0], p3 => [0.25, 0.25, 0.25, 0.0])
@test c1.revenue == [12.0, 12.0, 12.0, 12.0]
@test c1.operating_cost == [150.0, 150.0, 150.0, 150.0]
@test c1.disposal_limit == Dict(p2 => [0, 0, 0, 0], p3 => [Inf, Inf, Inf, Inf])
@test c1.disposal_cost ==
Dict(p2 => [0.23, 0.23, 0.23, 0.23], p3 => [1.0, 1.0, 1.0, 1.0])
c2 = instance.centers[2]
@test c2.input === nothing
@test c2.revenue == [0, 0, 0, 0]
plant = location_name_to_plant["L1"]
@test plant.plant_name == "F1"
@test plant.location_name == "L1"
@test plant.input.name == "P1"
@test plant.latitude == 0
@test plant.longitude == 0
@test plant.initial_capacity == 500.0
@test length(plant.sizes) == 2
@test plant.sizes[1].capacity == 250
@test plant.sizes[1].opening_cost == [500, 500]
@test plant.sizes[1].fixed_operating_cost == [30, 30]
@test plant.sizes[1].variable_operating_cost == [30, 30]
@test plant.sizes[2].capacity == 1000
@test plant.sizes[2].opening_cost == [1250, 1250]
@test plant.sizes[2].fixed_operating_cost == [30, 30]
@test plant.sizes[2].variable_operating_cost == [30, 30]
p1 = product_name_to_product["P1"]
@test p1.disposal_limit == [1.0, 1.0]
@test p1.disposal_cost == [-1000.0, -1000.0]
@test p1.acquisition_cost == [0.5, 0.5]
p2 = product_name_to_product["P2"]
@test p2.disposal_limit == [0.0, 0.0]
@test p2.disposal_cost == [0.0, 0.0]
@test p2.acquisition_cost == [0.0, 0.0]
p3 = product_name_to_product["P3"]
@test length(plant.output) == 2
@test plant.output[p2] == 0.2
@test plant.output[p3] == 0.5
@test plant.disposal_limit[p2] == [1, 1]
@test plant.disposal_limit[p3] == [1, 1]
@test plant.disposal_cost[p2] == [-10, -10]
@test plant.disposal_cost[p3] == [-10, -10]
plant = location_name_to_plant["L3"]
@test plant.location_name == "L3"
@test plant.input.name == "P2"
@test plant.latitude == 25
@test plant.longitude == 65
@test plant.initial_capacity == 0
@test length(plant.sizes) == 2
@test plant.sizes[1].capacity == 1000.0
@test plant.sizes[1].opening_cost == [3000, 3000]
@test plant.sizes[1].fixed_operating_cost == [50, 50]
@test plant.sizes[1].variable_operating_cost == [50, 50]
@test plant.sizes[1] == plant.sizes[2]
p4 = product_name_to_product["P4"]
@test plant.output[p3] == 0.05
@test plant.output[p4] == 0.8
@test plant.disposal_limit[p3] == [1e8, 1e8]
@test plant.disposal_limit[p4] == [0, 0]
end
@testset "parse (geodb)" begin
instance = RELOG.parsefile(fixture("s2.json"))
centers = instance.collection_centers
@test centers[1].name == "C1"
@test centers[1].latitude == 41.83956
@test centers[1].longitude == -88.08857
end
end