Implement compress method

Manifest.toml

@@ -1,8 +1,8 @@
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.10.1"
+julia_version = "1.10.2"
 manifest_format = "2.0"
-project_hash = "4170463ca454c6921d0f3b304e50e00eea5e30ba"
+project_hash = "c30276d4b440bf43a36bc652205ac642814efc55"
 
 [[deps.ArgTools]]
 uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f"
@@ -31,6 +31,12 @@ git-tree-sha1 = "b7ba7f0d727433c961909b329c4d2263268da4c9"
 uuid = "44b605c4-b955-5f2b-9b6d-d2bd01d3d205"
 version = "4.0.0"
 
+[[deps.CSTParser]]
+deps = ["Tokenize"]
+git-tree-sha1 = "b544d62417a99d091c569b95109bc9d8c223e9e3"
+uuid = "00ebfdb7-1f24-5e51-bd34-a7502290713f"
+version = "3.4.2"
+
 [[deps.CSV]]
 deps = ["CodecZlib", "Dates", "FilePathsBase", "InlineStrings", "Mmap", "Parsers", "PooledArrays", "PrecompileTools", "SentinelArrays", "Tables", "Unicode", "WeakRefStrings", "WorkerUtilities"]
 git-tree-sha1 = "679e69c611fff422038e9e21e270c4197d49d918"
@@ -55,6 +61,12 @@ git-tree-sha1 = "59939d8a997469ee05c4b4944560a820f9ba0d73"
 uuid = "944b1d66-785c-5afd-91f1-9de20f533193"
 version = "0.7.4"
 
+[[deps.CommonMark]]
+deps = ["Crayons", "JSON", "PrecompileTools", "URIs"]
+git-tree-sha1 = "532c4185d3c9037c0237546d817858b23cf9e071"
+uuid = "a80b9123-70ca-4bc0-993e-6e3bcb318db6"
+version = "0.8.12"
+
 [[deps.CommonSubexpressions]]
 deps = ["MacroTools", "Test"]
 git-tree-sha1 = "7b8a93dba8af7e3b42fecabf646260105ac373f7"
@@ -154,6 +166,11 @@ deps = ["ArgTools", "FileWatching", "LibCURL", "NetworkOptions"]
 uuid = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
 version = "1.6.0"
 
+[[deps.ExprTools]]
+git-tree-sha1 = "27415f162e6028e81c72b82ef756bf321213b6ec"
+uuid = "e2ba6199-217a-4e67-a87a-7c52f15ade04"
+version = "0.1.10"
+
 [[deps.FilePathsBase]]
 deps = ["Compat", "Dates", "Mmap", "Printf", "Test", "UUIDs"]
 git-tree-sha1 = "9f00e42f8d99fdde64d40c8ea5d14269a2e2c1aa"
@@ -183,6 +200,11 @@ git-tree-sha1 = "ed98a4429bf0a033ccc5e036120181dd52f06d31"
 uuid = "0ef565a4-170c-5f04-8de2-149903a85f3d"
 version = "1.1.0"
 
+[[deps.Glob]]
+git-tree-sha1 = "97285bbd5230dd766e9ef6749b80fc617126d496"
+uuid = "c27321d9-0574-5035-807b-f59d2c89b15c"
+version = "1.3.1"
+
 [[deps.Gurobi]]
 deps = ["LazyArtifacts", "Libdl", "MathOptInterface"]
 git-tree-sha1 = "5995b72d385235f3fe55f8f0c4ad61049f867814"
@@ -250,6 +272,12 @@ version = "1.20.0"
     [deps.JuMP.weakdeps]
     DimensionalData = "0703355e-b756-11e9-17c0-8b28908087d0"
 
+[[deps.JuliaFormatter]]
+deps = ["CSTParser", "CommonMark", "DataStructures", "Glob", "Pkg", "PrecompileTools", "Tokenize"]
+git-tree-sha1 = "1c4880cb70a5c6c87ea36deccc3d7f9e7969c18c"
+uuid = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
+version = "1.0.56"
+
 [[deps.JuliaInterpreter]]
 deps = ["CodeTracking", "InteractiveUtils", "Random", "UUIDs"]
 git-tree-sha1 = "7b762d81887160169ddfc93a47e5fd7a6a3e78ef"
@@ -572,6 +600,17 @@ version = "1.10.0"
 deps = ["InteractiveUtils", "Logging", "Random", "Serialization"]
 uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
+[[deps.TimerOutputs]]
+deps = ["ExprTools", "Printf"]
+git-tree-sha1 = "f548a9e9c490030e545f72074a41edfd0e5bcdd7"
+uuid = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
+version = "0.5.23"
+
+[[deps.Tokenize]]
+git-tree-sha1 = "5b5a892ba7704c0977013bd0f9c30f5d962181e0"
+uuid = "0796e94c-ce3b-5d07-9a54-7f471281c624"
+version = "0.5.28"
+
 [[deps.TranscodingStreams]]
 git-tree-sha1 = "54194d92959d8ebaa8e26227dbe3cdefcdcd594f"
 uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
@@ -581,6 +620,11 @@ weakdeps = ["Random", "Test"]
     [deps.TranscodingStreams.extensions]
     TestExt = ["Test", "Random"]
 
+[[deps.URIs]]
+git-tree-sha1 = "67db6cc7b3821e19ebe75791a9dd19c9b1188f2b"
+uuid = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4"
+version = "1.5.1"
+
 [[deps.UUIDs]]
 deps = ["Random", "SHA"]
 uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"

Project.toml

@@ -7,8 +7,10 @@ Gurobi = "2e9cd046-0924-5485-92f1-d5272153d98b"
 HiGHS = "87dc4568-4c63-4d18-b0c0-bb2238e4078b"
 JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
 JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
+JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
 NearestNeighbors = "b8a86587-4115-5ab1-83bc-aa920d37bbce"
 OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
+TimerOutputs = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
 ZipFile = "a5390f91-8eb1-5f08-bee0-b1d1ffed6cea"

dist.jl

@@ -8,6 +8,7 @@ using DataFrames
 using CRC
 using ZipFile
 using Statistics
+using TimerOutputs
 
 crc32 = crc(CRC_32)
 
@@ -77,31 +78,37 @@ function _calculate_distance(
         csv_filename = joinpath(basedir, "dist_driving.csv")
 
         # Download pre-computed driving data
-        if !isfile(csv_filename)
+        @timeit "Download data" begin
-            _download_zip(
+            if !isfile(csv_filename)
-                "https://axavier.org/RELOG/0.6/data/dist_driving_0b9a6ad6.zip",
+                _download_zip(
-                basedir,
+                    "https://axavier.org/RELOG/0.6/data/dist_driving_0b9a6ad6.zip",
-                csv_filename,
+                    basedir,
-                0x0b9a6ad6,
+                    csv_filename,
-            )
+                    0x0b9a6ad6,
+                )
+            end
         end
 
-        # Fit kNN model
+        @timeit "Fit KNN model" begin
-        df = DataFrame(CSV.File(csv_filename, missingstring="NaN"))
+            df = DataFrame(CSV.File(csv_filename, missingstring="NaN"))
-        dropmissing!(df)
+            dropmissing!(df)
-        coords = Matrix(df[!, [:source_lat, :source_lon, :dest_lat, :dest_lon]])'
+            coords = Matrix(df[!, [:source_lat, :source_lon, :dest_lat, :dest_lon]])'
-        metric.ratios = Matrix(df[!, [:ratio]])
+            metric.ratios = Matrix(df[!, [:ratio]])
-        metric.tree = KDTree(coords)
+            metric.tree = KDTree(coords)
+        end
     end
 
-    # Compute Euclidean distance
+    @timeit "Compute Euclidean distance" begin
-    dist_euclidean =
+        dist_euclidean =
-        _calculate_distance(source_lat, source_lon, dest_lat, dest_lon, EuclideanDistance())
+            _calculate_distance(source_lat, source_lon, dest_lat, dest_lon, EuclideanDistance())
+    end
+
+    @timeit "Predict driving distance" begin
+        idxs, _ = knn(metric.tree, [source_lat, source_lon, dest_lat, dest_lon], 5)
+        ratio_pred = mean(metric.ratios[idxs])
+        dist_pred = round(dist_euclidean * ratio_pred, digits=3)
+        isfinite(dist_pred) || error("non-finite distance detected: $dist_pred")
+    end
 
-    # Predict ratio
-    idxs, _ = knn(metric.tree, [source_lat, source_lon, dest_lat, dest_lon], 5)
-    ratio_pred = mean(metric.ratios[idxs])
-    dist_pred = round(dist_euclidean * ratio_pred, digits=3)
-    isfinite(dist_pred) || error("non-finite distance detected: $dist_pred")
     return dist_pred
 end

jumpext.jl

@@ -27,11 +27,9 @@ function _init(model::JuMP.Model, key::Symbol)::OrderedDict
 end
 
 function _set_names!(model::JuMP.Model)
-    @info "Setting variable and constraint names..."
     time_varnames = @elapsed begin
         _set_names!(object_dictionary(model))
     end
-    @info @sprintf("Set names in %.2f seconds", time_varnames)
 end
 
 function _set_names!(dict::Dict)

output-3/centers.csv

@@ -1,8 +1,8 @@
 center,product,component,time,amount available (tonne),amount sent (tonne),amount stored (tonne),amount disposed (tonne),acquisition cost ($),storage cost ($),disposal cost ($)
 Collection (San Antonio),Waste,Film,1,288.0,288.0,0.0,0.0,288.0,0.0,0.0
 Collection (San Antonio),Waste,Film,2,4240.0,4240.0,0.0,0.0,4240.0,0.0,0.0
-Collection (San Antonio),Waste,Paper,1,252.0,252.00000000000003,0.0,0.0,252.0,0.0,0.0
+Collection (San Antonio),Waste,Paper,1,252.0,252.0,0.0,0.0,252.0,0.0,0.0
-Collection (San Antonio),Waste,Paper,2,3710.0,3710.0000000000005,0.0,0.0,3710.0,0.0,0.0
+Collection (San Antonio),Waste,Paper,2,3710.0,3710.0,0.0,0.0,3710.0,0.0,0.0
 Collection (San Antonio),Waste,Cardboard,1,324.0,324.0,0.0,0.0,324.0,0.0,0.0
 Collection (San Antonio),Waste,Cardboard,2,4770.0,4770.0,0.0,0.0,4770.0,0.0,0.0
 Collection (San Jose),Waste,Film,1,1255.0,1255.0,0.0,0.0,1255.0,0.0,0.0
@@ -16,11 +16,11 @@ Collection (New York City),Waste,Film,2,6450.0,6450.0,0.0,0.0,6450.0,0.0,0.0
 Collection (New York City),Waste,Paper,1,891.0,891.0,0.0,0.0,891.0,0.0,0.0
 Collection (New York City),Waste,Paper,2,5805.0,5805.0,0.0,0.0,5805.0,0.0,0.0
 Collection (New York City),Waste,Cardboard,1,297.0,297.0,0.0,0.0,297.0,0.0,0.0
-Collection (New York City),Waste,Cardboard,2,1935.0,1934.9999999999998,0.0,0.0,1935.0,0.0,0.0
+Collection (New York City),Waste,Cardboard,2,1935.0,1935.0,0.0,0.0,1935.0,0.0,0.0
 Collection (Los Angeles),Waste,Film,1,4160.0,4160.0,0.0,0.0,4160.0,0.0,0.0
 Collection (Los Angeles),Waste,Film,2,5704.0,5704.0,0.0,0.0,5704.0,0.0,0.0
-Collection (Los Angeles),Waste,Paper,1,3640.0,3640.0000000000005,0.0,0.0,3640.0,0.0,0.0
+Collection (Los Angeles),Waste,Paper,1,3640.0,3640.0,0.0,0.0,3640.0,0.0,0.0
-Collection (Los Angeles),Waste,Paper,2,4991.0,4991.000000000001,0.0,0.0,4991.0,0.0,0.0
+Collection (Los Angeles),Waste,Paper,2,4991.0,4991.0,0.0,0.0,4991.0,0.0,0.0
 Collection (Los Angeles),Waste,Cardboard,1,5200.0,5200.0,0.0,0.0,5200.0,0.0,0.0
 Collection (Los Angeles),Waste,Cardboard,2,7130.0,7130.0,0.0,0.0,7130.0,0.0,0.0
 Collection (Chicago),Waste,Film,1,716.0,716.0,0.0,0.0,716.0,0.0,0.0

output-3/plant-emissions.csv

@@ -1,13 +1,13 @@
 plant,emission,time,amount emitted (tonne),emission cost ($)
-MRF (Chicago),CO2,1,88.11999999999999,0.8811999999999999
+MRF (Chicago),CO2,1,88.12,0.88
-MRF (Chicago),CO2,2,319.09,3.1908999999999996
+MRF (Chicago),CO2,2,319.09,3.19
-Paper Mill (Phoenix),CO2,1,111.96120000000002,1.1196120000000003
+Paper Mill (Phoenix),CO2,1,111.96,1.12
-Paper Mill (Phoenix),CO2,2,121.9771,1.219771
+Paper Mill (Phoenix),CO2,2,121.98,1.22
-Paper Mill (Dallas),CO2,1,97.26479999999998,0.9726479999999998
+Paper Mill (Dallas),CO2,1,97.26,0.97
-Paper Mill (Dallas),CO2,2,113.78059999999999,1.1378059999999999
+Paper Mill (Dallas),CO2,2,113.78,1.14
-MRF (Phoenix),CO2,1,443.25000000000006,4.432500000000001
+MRF (Phoenix),CO2,1,443.25,4.43
 MRF (Phoenix),CO2,2,500.0,5.0
-MRF (Dallas),CO2,1,265.19,2.6519
+MRF (Dallas),CO2,1,265.19,2.65
-MRF (Dallas),CO2,2,398.83,3.9882999999999997
+MRF (Dallas),CO2,2,398.83,3.99
-Paper Mill (Chicago),CO2,1,17.8095,0.178095
+Paper Mill (Chicago),CO2,1,17.81,0.18
-Paper Mill (Chicago),CO2,2,62.10079999999999,0.6210079999999999
+Paper Mill (Chicago),CO2,2,62.1,0.62

output-3/plant-outputs.csv

@@ -1,37 +1,37 @@
 plant,product,component,time,amount produced (tonne),amount disposed (tonne),amount sent (tonne),disposal cost ($)
-MRF (Chicago),Film bale,Film,1,1887.4799999999998,1887.4799999999998,0.0,-18874.8
+MRF (Chicago),Film bale,Film,1,1887.48,1887.48,0.0,-18874.8
-MRF (Chicago),Film bale,Film,2,8629.88,8629.88,0.0,-86298.79999999999
+MRF (Chicago),Film bale,Film,2,8629.88,8629.88,0.0,-86298.8
-MRF (Chicago),Film bale,Paper,1,92.70000000000002,92.70000000000002,0.0,-927.0000000000002
+MRF (Chicago),Film bale,Paper,1,92.7,92.7,0.0,-927.0
-MRF (Chicago),Film bale,Paper,2,304.58,304.58,0.0,-3045.7999999999997
+MRF (Chicago),Film bale,Paper,2,304.58,304.58,0.0,-3045.8
-MRF (Chicago),Film bale,Cardboard,1,45.02,45.02,0.0,-450.20000000000005
+MRF (Chicago),Film bale,Cardboard,1,45.02,45.02,0.0,-450.2
-MRF (Chicago),Film bale,Cardboard,2,157.48000000000002,157.48000000000002,0.0,-1574.8000000000002
+MRF (Chicago),Film bale,Cardboard,2,157.48,157.48,0.0,-1574.8
-MRF (Chicago),Cardboard bale,Paper,1,92.70000000000002,0.0,92.70000000000002,-0.0
+MRF (Chicago),Cardboard bale,Paper,1,92.7,0.0,92.7,-0.0
-MRF (Chicago),Cardboard bale,Paper,2,304.579999999999,0.0,304.579999999999,-0.0
+MRF (Chicago),Cardboard bale,Paper,2,304.58,-0.0,304.58,0.0
 MRF (Chicago),Cardboard bale,Cardboard,1,1688.25,0.0,1688.25,-0.0
 MRF (Chicago),Cardboard bale,Cardboard,2,5905.5,0.0,5905.5,-0.0
-Paper Mill (Phoenix),Cardboard sheets,Cardboard,1,10369.725,10369.725,0.0,-1.0369725e6
+Paper Mill (Phoenix),Cardboard sheets,Cardboard,1,10369.72,10369.72,0.0,-1.0369725e6
-Paper Mill (Phoenix),Cardboard sheets,Cardboard,2,11295.262499999999,11295.262499999999,0.0,-1.12952625e6
+Paper Mill (Phoenix),Cardboard sheets,Cardboard,2,11295.26,11295.26,0.0,-1.12952625e6
-Paper Mill (Dallas),Cardboard sheets,Cardboard,1,9132.824999999999,9132.824999999999,0.0,-913282.4999999999
+Paper Mill (Dallas),Cardboard sheets,Cardboard,1,9132.82,9132.82,0.0,-913282.5
 Paper Mill (Dallas),Cardboard sheets,Cardboard,2,10576.35,10576.35,0.0,-1.057635e6
 MRF (Phoenix),Film bale,Film,1,15425.2,15425.2,0.0,-154252.0
 MRF (Phoenix),Film bale,Film,2,18374.02,18374.02,0.0,-183740.2
 MRF (Phoenix),Film bale,Paper,1,280.62,280.62,0.0,-2806.2
-MRF (Phoenix),Film bale,Paper,2,307.96000000000004,307.96000000000004,0.0,-3079.6000000000004
+MRF (Phoenix),Film bale,Paper,2,307.96,307.96,0.0,-3079.6
-MRF (Phoenix),Film bale,Cardboard,1,291.08,291.08,0.0,-2910.7999999999997
+MRF (Phoenix),Film bale,Cardboard,1,291.08,291.08,0.0,-2910.8
 MRF (Phoenix),Film bale,Cardboard,2,317.06,317.06,0.0,-3170.6
-MRF (Phoenix),Cardboard bale,Paper,1,280.6200000000026,0.0,280.6200000000026,-0.0
+MRF (Phoenix),Cardboard bale,Paper,1,280.62,-0.0,280.62,0.0
-MRF (Phoenix),Cardboard bale,Paper,2,307.96000000000004,0.0,307.96000000000004,-0.0
+MRF (Phoenix),Cardboard bale,Paper,2,307.96,-0.0,307.96,0.0
 MRF (Phoenix),Cardboard bale,Cardboard,1,10915.5,0.0,10915.5,-0.0
 MRF (Phoenix),Cardboard bale,Cardboard,2,11889.75,0.0,11889.75,-0.0
-MRF (Dallas),Film bale,Film,1,7890.959999999999,7890.959999999999,0.0,-78909.59999999999
+MRF (Dallas),Film bale,Film,1,7890.96,7890.96,0.0,-78909.6
-MRF (Dallas),Film bale,Film,2,12530.279999999999,12530.279999999999,0.0,-125302.79999999999
+MRF (Dallas),Film bale,Film,2,12530.28,12530.28,0.0,-125302.8
-MRF (Dallas),Film bale,Paper,1,112.97999999999999,112.97999999999999,0.0,-1129.8
+MRF (Dallas),Film bale,Paper,1,112.98,112.98,0.0,-1129.8
 MRF (Dallas),Film bale,Paper,2,245.06,245.06,0.0,-2450.6
-MRF (Dallas),Film bale,Cardboard,1,256.36,256.36,0.0,-2563.6000000000004
+MRF (Dallas),Film bale,Cardboard,1,256.36,256.36,0.0,-2563.6
 MRF (Dallas),Film bale,Cardboard,2,296.88,296.88,0.0,-2968.8
-MRF (Dallas),Cardboard bale,Paper,1,112.97999999999774,0.0,112.97999999999774,-0.0
+MRF (Dallas),Cardboard bale,Paper,1,112.98,-0.0,112.98,0.0
-MRF (Dallas),Cardboard bale,Paper,2,245.06,0.0,245.06,-0.0
+MRF (Dallas),Cardboard bale,Paper,2,245.06,-0.0,245.06,0.0
 MRF (Dallas),Cardboard bale,Cardboard,1,9613.5,0.0,9613.5,-0.0
 MRF (Dallas),Cardboard bale,Cardboard,2,11133.0,0.0,11133.0,-0.0
-Paper Mill (Chicago),Cardboard sheets,Cardboard,1,1603.8374999999999,1603.8374999999999,0.0,-160383.75
+Paper Mill (Chicago),Cardboard sheets,Cardboard,1,1603.84,1603.84,0.0,-160383.75
-Paper Mill (Chicago),Cardboard sheets,Cardboard,2,5610.224999999999,5610.224999999999,0.0,-561022.5
+Paper Mill (Chicago),Cardboard sheets,Cardboard,2,5610.22,5610.22,0.0,-561022.5

output-3/transp-emissions.csv

@@ -1,28 +1,28 @@
 source,destination,product,emission,time,distance (km),amount sent (tonne),amount emitted (tonne),emission cost ($)
 MRF (Chicago),Paper Mill (Chicago),Cardboard bale,CO2,1,0.0,1780.95,0.0,0.0
-MRF (Chicago),Paper Mill (Chicago),Cardboard bale,CO2,2,0.0,6210.079999999999,0.0,0.0
+MRF (Chicago),Paper Mill (Chicago),Cardboard bale,CO2,2,0.0,6210.08,0.0,0.0
-MRF (Phoenix),Paper Mill (Phoenix),Cardboard bale,CO2,1,0.0,11196.120000000003,0.0,0.0
+MRF (Phoenix),Paper Mill (Phoenix),Cardboard bale,CO2,1,0.0,11196.12,0.0,0.0
 MRF (Phoenix),Paper Mill (Phoenix),Cardboard bale,CO2,2,0.0,12197.71,0.0,0.0
-MRF (Dallas),Paper Mill (Dallas),Cardboard bale,CO2,1,0.0,9726.479999999998,0.0,0.0
+MRF (Dallas),Paper Mill (Dallas),Cardboard bale,CO2,1,0.0,9726.48,0.0,0.0
 MRF (Dallas),Paper Mill (Dallas),Cardboard bale,CO2,2,0.0,11378.06,0.0,0.0
-Collection (San Antonio),MRF (Dallas),Waste,CO2,1,476.098,864.0,4113.48672,41.1348672
+Collection (San Antonio),MRF (Dallas),Waste,CO2,1,476.1,864.0,4113.49,41.13
-Collection (San Antonio),MRF (Dallas),Waste,CO2,2,476.098,12720.0,60559.6656,605.596656
+Collection (San Antonio),MRF (Dallas),Waste,CO2,2,476.1,12720.0,60559.67,605.6
-Collection (San Jose),MRF (Phoenix),Waste,CO2,1,1173.985,4016.0,47147.23759999999,471.47237599999994
+Collection (San Jose),MRF (Phoenix),Waste,CO2,1,1173.98,4016.0,47147.24,471.47
-Collection (San Jose),MRF (Phoenix),Waste,CO2,2,1173.985,7392.0,86780.97119999999,867.8097119999999
+Collection (San Jose),MRF (Phoenix),Waste,CO2,2,1173.98,7392.0,86780.97,867.81
-Collection (San Jose),MRF (Dallas),Waste,CO2,2,2705.116,7488.0,202559.08608,2025.5908608000002
+Collection (San Jose),MRF (Dallas),Waste,CO2,2,2705.12,7488.0,202559.09,2025.59
-Collection (New York City),MRF (Chicago),Waste,CO2,1,1293.755,2178.0,28177.983900000003,281.77983900000004
+Collection (New York City),MRF (Chicago),Waste,CO2,1,1293.76,2178.0,28177.98,281.78
-Collection (New York City),MRF (Chicago),Waste,CO2,2,1293.755,14190.0,183583.83450000003,1835.8383450000003
+Collection (New York City),MRF (Chicago),Waste,CO2,2,1293.76,14190.0,183583.83,1835.84
-Collection (Los Angeles),MRF (Phoenix),Waste,CO2,1,668.923,13000.0,86959.99,869.5999
+Collection (Los Angeles),MRF (Phoenix),Waste,CO2,1,668.92,13000.0,86959.99,869.6
-Collection (Los Angeles),MRF (Phoenix),Waste,CO2,2,668.923,17825.0,119235.52475,1192.3552475
+Collection (Los Angeles),MRF (Phoenix),Waste,CO2,2,668.92,17825.0,119235.52,1192.36
 Collection (Chicago),MRF (Chicago),Waste,CO2,1,0.0,4654.0,0.0,0.0
 Collection (Chicago),MRF (Chicago),Waste,CO2,2,0.0,9061.0,0.0,0.0
 Collection (Dallas),MRF (Dallas),Waste,CO2,1,0.0,11648.0,0.0,0.0
 Collection (Dallas),MRF (Dallas),Waste,CO2,2,0.0,9952.0,0.0,0.0
 Collection (Phoenix),MRF (Phoenix),Waste,CO2,1,0.0,15267.0,0.0,0.0
 Collection (Phoenix),MRF (Phoenix),Waste,CO2,2,0.0,9555.0,0.0,0.0
-Collection (San Diego),MRF (Phoenix),Waste,CO2,1,567.242,12042.0,68307.28164,683.0728164000001
+Collection (San Diego),MRF (Phoenix),Waste,CO2,1,567.24,12042.0,68307.28,683.07
-Collection (San Diego),MRF (Phoenix),Waste,CO2,2,567.242,15228.0,86379.61176,863.7961176
+Collection (San Diego),MRF (Phoenix),Waste,CO2,2,567.24,15228.0,86379.61,863.8
-Collection (Philadelphia),MRF (Chicago),Waste,CO2,1,1244.116,1980.0,24633.4968,246.334968
+Collection (Philadelphia),MRF (Chicago),Waste,CO2,1,1244.12,1980.0,24633.5,246.33
-Collection (Philadelphia),MRF (Chicago),Waste,CO2,2,1244.116,8658.0,107715.56328,1077.1556328000001
+Collection (Philadelphia),MRF (Chicago),Waste,CO2,2,1244.12,8658.0,107715.56,1077.16
-Collection (Houston),MRF (Dallas),Waste,CO2,1,411.89,14007.0,57693.4323,576.9343230000001
+Collection (Houston),MRF (Dallas),Waste,CO2,1,411.89,14007.0,57693.43,576.93
-Collection (Houston),MRF (Dallas),Waste,CO2,2,411.89,9723.0,40048.0647,400.48064700000003
+Collection (Houston),MRF (Dallas),Waste,CO2,2,411.89,9723.0,40048.06,400.48

output-3/transp.csv

@@ -1,43 +1,43 @@
 source,destination,product,component,time,distance (km),amount sent (tonne),transportation cost ($),variable operating cost ($)
-MRF (Chicago),Paper Mill (Chicago),Cardboard bale,Paper,1,0.0,92.70000000000002,0.0,92.70000000000002
+MRF (Chicago),Paper Mill (Chicago),Cardboard bale,Paper,1,0.0,92.7,0.0,92.7
-MRF (Chicago),Paper Mill (Chicago),Cardboard bale,Paper,2,0.0,304.579999999999,0.0,304.579999999999
+MRF (Chicago),Paper Mill (Chicago),Cardboard bale,Paper,2,0.0,304.58,0.0,304.58
 MRF (Chicago),Paper Mill (Chicago),Cardboard bale,Cardboard,1,0.0,1688.25,0.0,1688.25
 MRF (Chicago),Paper Mill (Chicago),Cardboard bale,Cardboard,2,0.0,5905.5,0.0,5905.5
-MRF (Phoenix),Paper Mill (Phoenix),Cardboard bale,Paper,1,0.0,280.6200000000026,0.0,280.6200000000026
+MRF (Phoenix),Paper Mill (Phoenix),Cardboard bale,Paper,1,0.0,280.62,0.0,280.62
-MRF (Phoenix),Paper Mill (Phoenix),Cardboard bale,Paper,2,0.0,307.96000000000004,0.0,307.96000000000004
+MRF (Phoenix),Paper Mill (Phoenix),Cardboard bale,Paper,2,0.0,307.96,0.0,307.96
 MRF (Phoenix),Paper Mill (Phoenix),Cardboard bale,Cardboard,1,0.0,10915.5,0.0,10915.5
 MRF (Phoenix),Paper Mill (Phoenix),Cardboard bale,Cardboard,2,0.0,11889.75,0.0,11889.75
-MRF (Dallas),Paper Mill (Dallas),Cardboard bale,Paper,1,0.0,112.97999999999774,0.0,112.97999999999774
+MRF (Dallas),Paper Mill (Dallas),Cardboard bale,Paper,1,0.0,112.98,0.0,112.98
 MRF (Dallas),Paper Mill (Dallas),Cardboard bale,Paper,2,0.0,245.06,0.0,245.06
 MRF (Dallas),Paper Mill (Dallas),Cardboard bale,Cardboard,1,0.0,9613.5,0.0,9613.5
 MRF (Dallas),Paper Mill (Dallas),Cardboard bale,Cardboard,2,0.0,11133.0,0.0,11133.0
-Collection (San Antonio),MRF (Dallas),Waste,Film,1,476.098,288.0,6855.811200000001,288.0
+Collection (San Antonio),MRF (Dallas),Waste,Film,1,476.1,288.0,6855.81,288.0
-Collection (San Antonio),MRF (Dallas),Waste,Film,2,476.098,4240.0,100932.77600000001,4240.0
+Collection (San Antonio),MRF (Dallas),Waste,Film,2,476.1,4240.0,100932.78,4240.0
-Collection (San Antonio),MRF (Dallas),Waste,Paper,1,476.098,252.00000000000003,5998.834800000001,252.00000000000003
+Collection (San Antonio),MRF (Dallas),Waste,Paper,1,476.1,252.0,5998.83,252.0
-Collection (San Antonio),MRF (Dallas),Waste,Paper,2,476.098,3710.0000000000005,88316.17900000002,3710.0000000000005
+Collection (San Antonio),MRF (Dallas),Waste,Paper,2,476.1,3710.0,88316.18,3710.0
-Collection (San Antonio),MRF (Dallas),Waste,Cardboard,1,476.098,324.0,7712.7876000000015,324.0
+Collection (San Antonio),MRF (Dallas),Waste,Cardboard,1,476.1,324.0,7712.79,324.0
-Collection (San Antonio),MRF (Dallas),Waste,Cardboard,2,476.098,4770.0,113549.37300000002,4770.0
+Collection (San Antonio),MRF (Dallas),Waste,Cardboard,2,476.1,4770.0,113549.37,4770.0
-Collection (San Jose),MRF (Phoenix),Waste,Film,1,1173.985,1255.0,73667.55875,1255.0
+Collection (San Jose),MRF (Phoenix),Waste,Film,1,1173.98,1255.0,73667.56,1255.0
-Collection (San Jose),MRF (Phoenix),Waste,Film,2,1173.985,2310.0,135595.2675,2310.0
+Collection (San Jose),MRF (Phoenix),Waste,Film,2,1173.98,2310.0,135595.27,2310.0
-Collection (San Jose),MRF (Phoenix),Waste,Paper,1,1173.985,2510.0,147335.1175,2510.0
+Collection (San Jose),MRF (Phoenix),Waste,Paper,1,1173.98,2510.0,147335.12,2510.0
-Collection (San Jose),MRF (Phoenix),Waste,Paper,2,1173.985,4620.0,271190.535,4620.0
+Collection (San Jose),MRF (Phoenix),Waste,Paper,2,1173.98,4620.0,271190.54,4620.0
-Collection (San Jose),MRF (Phoenix),Waste,Cardboard,1,1173.985,251.0,14733.51175,251.0
+Collection (San Jose),MRF (Phoenix),Waste,Cardboard,1,1173.98,251.0,14733.51,251.0
-Collection (San Jose),MRF (Phoenix),Waste,Cardboard,2,1173.985,462.0,27119.053499999998,462.0
+Collection (San Jose),MRF (Phoenix),Waste,Cardboard,2,1173.98,462.0,27119.05,462.0
-Collection (San Jose),MRF (Dallas),Waste,Film,2,2705.116,2340.0,316498.572,2340.0
+Collection (San Jose),MRF (Dallas),Waste,Film,2,2705.12,2340.0,316498.57,2340.0
-Collection (San Jose),MRF (Dallas),Waste,Paper,2,2705.116,4680.0,632997.144,4680.0
+Collection (San Jose),MRF (Dallas),Waste,Paper,2,2705.12,4680.0,632997.14,4680.0
-Collection (San Jose),MRF (Dallas),Waste,Cardboard,2,2705.116,468.0,63299.7144,468.0
+Collection (San Jose),MRF (Dallas),Waste,Cardboard,2,2705.12,468.0,63299.71,468.0
-Collection (New York City),MRF (Chicago),Waste,Film,1,1293.755,990.0,64040.872500000005,990.0
+Collection (New York City),MRF (Chicago),Waste,Film,1,1293.76,990.0,64040.87,990.0
-Collection (New York City),MRF (Chicago),Waste,Film,2,1293.755,6450.0,417235.98750000005,6450.0
+Collection (New York City),MRF (Chicago),Waste,Film,2,1293.76,6450.0,417235.99,6450.0
-Collection (New York City),MRF (Chicago),Waste,Paper,1,1293.755,891.0,57636.78525000001,891.0
+Collection (New York City),MRF (Chicago),Waste,Paper,1,1293.76,891.0,57636.79,891.0
-Collection (New York City),MRF (Chicago),Waste,Paper,2,1293.755,5805.0,375512.38875000004,5805.0
+Collection (New York City),MRF (Chicago),Waste,Paper,2,1293.76,5805.0,375512.39,5805.0
-Collection (New York City),MRF (Chicago),Waste,Cardboard,1,1293.755,297.0,19212.26175,297.0
+Collection (New York City),MRF (Chicago),Waste,Cardboard,1,1293.76,297.0,19212.26,297.0
-Collection (New York City),MRF (Chicago),Waste,Cardboard,2,1293.755,1934.9999999999998,125170.79625,1934.9999999999998
+Collection (New York City),MRF (Chicago),Waste,Cardboard,2,1293.76,1935.0,125170.8,1935.0
-Collection (Los Angeles),MRF (Phoenix),Waste,Film,1,668.923,4160.0,139135.98400000003,4160.0
+Collection (Los Angeles),MRF (Phoenix),Waste,Film,1,668.92,4160.0,139135.98,4160.0
-Collection (Los Angeles),MRF (Phoenix),Waste,Film,2,668.923,5704.0,190776.8396,5704.0
+Collection (Los Angeles),MRF (Phoenix),Waste,Film,2,668.92,5704.0,190776.84,5704.0
-Collection (Los Angeles),MRF (Phoenix),Waste,Paper,1,668.923,3640.0000000000005,121743.98600000002,3640.0000000000005
+Collection (Los Angeles),MRF (Phoenix),Waste,Paper,1,668.92,3640.0,121743.99,3640.0
-Collection (Los Angeles),MRF (Phoenix),Waste,Paper,2,668.923,4991.000000000001,166929.73465000006,4991.000000000001
+Collection (Los Angeles),MRF (Phoenix),Waste,Paper,2,668.92,4991.0,166929.73,4991.0
-Collection (Los Angeles),MRF (Phoenix),Waste,Cardboard,1,668.923,5200.0,173919.98,5200.0
+Collection (Los Angeles),MRF (Phoenix),Waste,Cardboard,1,668.92,5200.0,173919.98,5200.0
-Collection (Los Angeles),MRF (Phoenix),Waste,Cardboard,2,668.923,7130.0,238471.04950000002,7130.0
+Collection (Los Angeles),MRF (Phoenix),Waste,Cardboard,2,668.92,7130.0,238471.05,7130.0
 Collection (Chicago),MRF (Chicago),Waste,Film,1,0.0,716.0,0.0,716.0
 Collection (Chicago),MRF (Chicago),Waste,Film,2,0.0,1394.0,0.0,1394.0
 Collection (Chicago),MRF (Chicago),Waste,Paper,1,0.0,2864.0,0.0,2864.0
@@ -56,21 +56,21 @@ Collection (Phoenix),MRF (Phoenix),Waste,Paper,1,0.0,6543.0,0.0,6543.0
 Collection (Phoenix),MRF (Phoenix),Waste,Paper,2,0.0,4095.0,0.0,4095.0
 Collection (Phoenix),MRF (Phoenix),Waste,Cardboard,1,0.0,5089.0,0.0,5089.0
 Collection (Phoenix),MRF (Phoenix),Waste,Cardboard,2,0.0,3185.0,0.0,3185.0
-Collection (San Diego),MRF (Phoenix),Waste,Film,1,567.242,6690.0,189742.449,6690.0
+Collection (San Diego),MRF (Phoenix),Waste,Film,1,567.24,6690.0,189742.45,6690.0
-Collection (San Diego),MRF (Phoenix),Waste,Film,2,567.242,8460.0,239943.36599999998,8460.0
+Collection (San Diego),MRF (Phoenix),Waste,Film,2,567.24,8460.0,239943.37,8460.0
-Collection (San Diego),MRF (Phoenix),Waste,Paper,1,567.242,1338.0,37948.489799999996,1338.0
+Collection (San Diego),MRF (Phoenix),Waste,Paper,1,567.24,1338.0,37948.49,1338.0
-Collection (San Diego),MRF (Phoenix),Waste,Paper,2,567.242,1692.0,47988.6732,1692.0
+Collection (San Diego),MRF (Phoenix),Waste,Paper,2,567.24,1692.0,47988.67,1692.0
-Collection (San Diego),MRF (Phoenix),Waste,Cardboard,1,567.242,4014.0,113845.46939999999,4014.0
+Collection (San Diego),MRF (Phoenix),Waste,Cardboard,1,567.24,4014.0,113845.47,4014.0
-Collection (San Diego),MRF (Phoenix),Waste,Cardboard,2,567.242,5076.0,143966.0196,5076.0
+Collection (San Diego),MRF (Phoenix),Waste,Cardboard,2,567.24,5076.0,143966.02,5076.0
-Collection (Philadelphia),MRF (Chicago),Waste,Film,1,1244.116,220.0,13685.276000000002,220.0
+Collection (Philadelphia),MRF (Chicago),Waste,Film,1,1244.12,220.0,13685.28,220.0
-Collection (Philadelphia),MRF (Chicago),Waste,Film,2,1244.116,962.0,59841.979600000006,962.0
+Collection (Philadelphia),MRF (Chicago),Waste,Film,2,1244.12,962.0,59841.98,962.0
-Collection (Philadelphia),MRF (Chicago),Waste,Paper,1,1244.116,880.0,54741.10400000001,880.0
+Collection (Philadelphia),MRF (Chicago),Waste,Paper,1,1244.12,880.0,54741.1,880.0
-Collection (Philadelphia),MRF (Chicago),Waste,Paper,2,1244.116,3848.0,239367.91840000002,3848.0
+Collection (Philadelphia),MRF (Chicago),Waste,Paper,2,1244.12,3848.0,239367.92,3848.0
-Collection (Philadelphia),MRF (Chicago),Waste,Cardboard,1,1244.116,880.0,54741.10400000001,880.0
+Collection (Philadelphia),MRF (Chicago),Waste,Cardboard,1,1244.12,880.0,54741.1,880.0
-Collection (Philadelphia),MRF (Chicago),Waste,Cardboard,2,1244.116,3848.0,239367.91840000002,3848.0
+Collection (Philadelphia),MRF (Chicago),Waste,Cardboard,2,1244.12,3848.0,239367.92,3848.0
-Collection (Houston),MRF (Dallas),Waste,Film,1,411.89,2668.0,54946.126,2668.0
+Collection (Houston),MRF (Dallas),Waste,Film,1,411.89,2668.0,54946.13,2668.0
-Collection (Houston),MRF (Dallas),Waste,Film,2,411.89,1852.0,38141.014,1852.0
+Collection (Houston),MRF (Dallas),Waste,Film,2,411.89,1852.0,38141.01,1852.0
-Collection (Houston),MRF (Dallas),Waste,Paper,1,411.89,4669.0,96155.7205,4669.0
+Collection (Houston),MRF (Dallas),Waste,Paper,1,411.89,4669.0,96155.72,4669.0
-Collection (Houston),MRF (Dallas),Waste,Paper,2,411.89,3241.0,66746.7745,3241.0
+Collection (Houston),MRF (Dallas),Waste,Paper,2,411.89,3241.0,66746.77,3241.0
-Collection (Houston),MRF (Dallas),Waste,Cardboard,1,411.89,6670.0,137365.315,6670.0
+Collection (Houston),MRF (Dallas),Waste,Cardboard,1,411.89,6670.0,137365.32,6670.0
-Collection (Houston),MRF (Dallas),Waste,Cardboard,2,411.89,4630.0,95352.535,4630.0
+Collection (Houston),MRF (Dallas),Waste,Cardboard,2,411.89,4630.0,95352.53,4630.0