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%%timeit -n1 -r1
%configure_logging
from sys import stderr
from trase.tools.sps import SupplyChain
for year in [2018, 2019, 2020]: # [2021, 2022]:
supplychain = SupplyChain(
"indonesia/palm_oil",
year=year,
)
supplychain.preparation()
supplychain.load()
supplychain.run()
open("done", "w")
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/tools/sei_pcs/pandas_utilities.py:18: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.
from pandas.util.testing import assert_frame_equal
Extracting data from source ...[0m [97m took 0.1 seconds[0m
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[1mRunning pre-processing for MillGroups[0m
Report: Before processing[0m
| Row Count: 1,241[0m
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[32mWritten /mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/2018/prepared/mill_group.csv[0m
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[33mWARNING: supply shed has excess demand, LP will not find solution unless option `allow_deviation=True` is used[0m
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[33m M-01130 54197[0m
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[33m M-00272 48577[0m
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[33m M-00287 36433[0m
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[33m M-00814 29589[0m
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[33m M-00041 37214[0m
[33m M-01125 24288[0m
[33m M-01202 37740[0m
[33m M-00201 24288[0m
[33m M-00608 24288[0m
[33m M-01222 39452[0m
[33m M-00560 54197[0m
[33m M-00233 32254[0m
[33m M-00595 28670[0m
[33m M-00851 23979[0m
[33m M-00783 25207[0m
[33m M-01166 19726[0m
[33m M-00081 24288[0m
[33m M-00119 8959[0m
[33m M-01091 8096[0m
[33m M-00506 36433[0m
[33m M-00646 54197[0m
[33m M-00308 28670[0m
[33m M-00347 55004[0m
[33m M-00486 24288[0m
[33m M-00266 39452[0m
[33m M-00525 24336[0m
[33m M-00240 31973[0m
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[33m M-00579 43005[0m
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[33m M-00938 24288[0m
[33m M-00939 48577[0m
[33m M-00621 27098[0m
[33m M-00654 43005[0m
[33m M-00408 21502[0m
[33m M-00891 40647[0m
[33m M-00799 32254[0m
[33m M-00208 21800[0m
[33m M-01044 21502[0m
[33m M-00247 31584[0m
[33m M-00963 39452[0m
[33m M-01111 19726[0m
[33m M-00647 54197[0m
[33m M-00568 25086[0m
[33m M-00008 54450[0m
[33m M-00406 48577[0m
[33m M-00444 36433[0m
[33m M-00157 33687[0m
[33m M-01115 32701[0m
[33m M-00722 24288[0m
[33m M-01201 12144[0m
[33m M-00735 7167[0m
[33m M-00523 36433[0m
[33m M-00493 21800[0m
[33m M-00614 33359[0m
[33m M-00701 48577[0m
[33m M-00709 41520[0m
[33m M-00078 48577[0m
[33m M-01196 36433[0m
[33m M-00985 32254[0m
[33m M-00962 55089[0m
[33m M-00583 32254[0m
[33m M-00850 29589[0m
[33m M-00536 72866[0m
[33m M-00674 21800[0m
[33m M-00278 43005[0m
[33m M-00315 13840[0m
[33m M-00002 32254[0m
[33m total demand 25467966[0m
[33m[0m
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:277: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df_remaining_output["output"] -= df_remaining_output.pop("demand")
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.
To preserve the previous behavior, use
>>> .groupby(..., group_keys=False)
To adopt the future behavior and silence this warning, use
>>> .groupby(..., group_keys=True)
.apply(sum)
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:277: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df_remaining_output["output"] -= df_remaining_output.pop("demand")
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.
To preserve the previous behavior, use
>>> .groupby(..., group_keys=False)
To adopt the future behavior and silence this warning, use
>>> .groupby(..., group_keys=True)
.apply(sum)
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.
To preserve the previous behavior, use
>>> .groupby(..., group_keys=False)
To adopt the future behavior and silence this warning, use
>>> .groupby(..., group_keys=True)
.apply(sum)
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:240: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.
To preserve the previous behavior, use
>>> .groupby(..., group_keys=False)
To adopt the future behavior and silence this warning, use
>>> .groupby(..., group_keys=True)
df_mill_excess = df_demand.groupby("mill_id")["vol"].apply(sum).reset_index()
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:277: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df_remaining_output["output"] -= df_remaining_output.pop("demand")
Running pre-LP 1
________________________________________________________________________________
Production: 42883630 % exports branch
|
+--+- Domestic demand: 13833781
| +- Exports: 29049848
| |
| +--+- Unknown: 0 0%
| | +- Known: 29049848 100%
| | |
| | +- Traceability: 26103571 89%
| | | | |
| | | | +- Matched: 25032249 86%
| | | | +- Excess: 1071217 3%
| | | |
| | | +- Pre-LP 1: 10041474 34%
| | | | |
| | | | +- Matched: 9693387 33% TRACEABILITY PRE-LP 1
| | | | +- Excess: 348086 1% TRACEABILITY EXCESS PRE-LP 1
| | | |
| | | +- LP 1: 16062096 55%
| | | |
| | | +- Matched: 15338862 52% TRACEABILITY LP 1
| | | +- Excess: 723130 2% TRACEABILITY EXCESS LP 1
| | |
| | +- No traceability: 2946277 10%
Running LP 1
Retrieving costs
Solving LP
Welcome to the CBC MILP Solver
Version: 2.10.3
Build Date: Dec 15 2019
command line - /home/sagemaker-user/.conda/envs/trase-env/lib/python3.10/site-packages/pulp/solverdir/cbc/linux/64/cbc /tmp/5ecc682ed8784bbebb91f99018480568-pulp.mps -timeMode elapsed -branch -printingOptions all -solution /tmp/5ecc682ed8784bbebb91f99018480568-pulp.sol (default strategy 1)
At line 2 NAME MODEL
At line 3 ROWS
At line 13006 COLUMNS
At line 59425559 RHS
At line 59438561 BOUNDS
At line 59438562 ENDATA
Problem MODEL has 13001 rows, 19804415 columns and 39608830 elements
Coin0008I MODEL read with 0 errors
Option for timeMode changed from cpu to elapsed
Presolve 13001 (0) rows, 19804415 (0) columns and 39608830 (0) elements
Perturbing problem by 0.001% of 2772.8608 - largest nonzero change 0.0035396089 ( 3.7689727%) - largest zero change 0.0013894079
0 Obj 0 Primal inf 16061988 (8570)
290 Obj 78124138 Primal inf 11975531 (8733)
580 Obj 1.1019957e+08 Primal inf 10452750 (8660)
870 Obj 1.3582911e+08 Primal inf 9221976.5 (8587)
1160 Obj 1.5658917e+08 Primal inf 7943661.9 (8471)
1450 Obj 1.7518058e+08 Primal inf 7662660.9 (8402)
1740 Obj 1.904848e+08 Primal inf 7195613.6 (8329)
2030 Obj 2.0395373e+08 Primal inf 6451269.8 (8220)
2320 Obj 2.1622028e+08 Primal inf 5746910.9 (8129)
2610 Obj 2.2612498e+08 Primal inf 5330898.9 (8068)
2900 Obj 2.3481101e+08 Primal inf 4970377.9 (7981)
3190 Obj 2.4227229e+08 Primal inf 4449192 (7889)
3480 Obj 2.4977947e+08 Primal inf 3868786.6 (7799)
3770 Obj 2.5611878e+08 Primal inf 3518105.4 (7712)
4060 Obj 2.6065284e+08 Primal inf 3219725.1 (7628)
4350 Obj 2.6552756e+08 Primal inf 2941954.4 (7557)
4640 Obj 2.6961181e+08 Primal inf 2545715.3 (7458)
4930 Obj 2.7258665e+08 Primal inf 2321713.8 (7381)
5220 Obj 2.7518283e+08 Primal inf 2470653.2 (7310)
5510 Obj 2.7823337e+08 Primal inf 2105037.9 (7165)
5800 Obj 2.8087908e+08 Primal inf 1863732 (7071)
6090 Obj 2.8344879e+08 Primal inf 1500958.3 (6958)
6380 Obj 2.8551841e+08 Primal inf 1304647.7 (6879)
6670 Obj 2.8753898e+08 Primal inf 1033546 (6734)
6960 Obj 2.8899711e+08 Primal inf 938239.92 (6633)
7250 Obj 2.9047916e+08 Primal inf 777638.47 (6504)
7540 Obj 2.9203402e+08 Primal inf 556452.43 (6345)
7830 Obj 2.9320799e+08 Primal inf 418687.65 (6194)
8120 Obj 2.9417144e+08 Primal inf 298404.58 (6009)
8410 Obj 2.9493032e+08 Primal inf 181517.79 (5831)
8700 Obj 2.9557503e+08 Primal inf 127497.54 (5601)
8990 Obj 2.9611944e+08 Primal inf 86437.492 (5365)
9280 Obj 2.9655029e+08 Primal inf 61896.718 (5115)
9570 Obj 2.9685061e+08 Primal inf 46719.425 (4881)
9860 Obj 2.970847e+08 Primal inf 31263.067 (4648)
10150 Obj 2.9725937e+08 Primal inf 23134.365 (4391)
10440 Obj 2.9740712e+08 Primal inf 17729.968 (4118)
10730 Obj 2.9751459e+08 Primal inf 13950.17 (3841)
11020 Obj 2.9760574e+08 Primal inf 10644.408 (3571)
11310 Obj 2.9767771e+08 Primal inf 8605.0932 (3296)
11600 Obj 2.9773691e+08 Primal inf 6160.7012 (3029)
11890 Obj 2.9778584e+08 Primal inf 4830.7937 (2759)
12180 Obj 2.9782279e+08 Primal inf 3281.4447 (2484)
12470 Obj 2.9785266e+08 Primal inf 2078.4644 (2204)
12760 Obj 2.9787375e+08 Primal inf 1295.5609 (1923)
13050 Obj 2.9789004e+08 Primal inf 758.22133 (1634)
13340 Obj 2.9790018e+08 Primal inf 373.00134 (1354)
13630 Obj 2.9790665e+08 Primal inf 160.86571 (1066)
13920 Obj 2.9790883e+08 Primal inf 81.919044 (787)
14210 Obj 2.9790934e+08 Primal inf 51.900856 (519)
14500 Obj 2.9790934e+08 Primal inf 25.017008 (251)
14757 Obj 2.9790937e+08
Optimal - objective value 2.978926e+08
Optimal objective 297892598.9 - 14757 iterations time 68.612
Option for printingOptions changed from normal to all
Total time (CPU seconds): 116.07 (Wallclock seconds): 124.83
Stitching LP results and demand
Running pre-LP 2
⚐ WARNING Use the validate option with pd.merge or pass validate=None to suppress this warning
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:324
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:337: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
df_untraceable_demand = df_untraceable_demand.append(
________________________________________________________________________________
Production: 42883630 % exports branch
|
+--+- Domestic demand: 13833781
| +- Exports: 29049848
| |
| +--+- Unknown: 0 0%
| | +- Known: 29049848 100%
| | |
| | +- Traceability: 26103571 89%
| | | | |
| | | | +- Matched: 25032249 86%
| | | | +- Excess: 1071217 3%
| | | |
| | | +- Pre-LP 1: 10041474 34%
| | | | |
| | | | +- Matched: 9693387 33% TRACEABILITY PRE-LP 1
| | | | +- Excess: 348086 1% TRACEABILITY EXCESS PRE-LP 1
| | | |
| | | +- LP 1: 16062096 55%
| | | |
| | | +- Matched: 15338862 52% TRACEABILITY LP 1
| | | +- Excess: 723130 2% TRACEABILITY EXCESS LP 1
| | |
| | +- No traceability: 2946277 10%
| | |
+---+----------+- Untraceable demand 16780058
|
+- Pre-LP 2: 3284908
| |
| +- Domestic: 2708137 DOMESTIC PRE-LP 2
| +- Unknown: 0 UNKNOWN PRE-LP 2
| +- No traceability: 576771 NO TRACEABILITY PRE-LP 2
|
+- LP 2: 13495150
|
+- Domestic: 11125643 DOMESTIC LP 2
+- Unknown: 0 UNKNOWN LP 2
+- No traceability: 2369506 NO TRACEABILITY LP 2
Running LP 2
Retrieving costs
Solving LP
Welcome to the CBC MILP Solver
Version: 2.10.3
Build Date: Dec 15 2019
command line - /home/sagemaker-user/.conda/envs/trase-env/lib/python3.10/site-packages/pulp/solverdir/cbc/linux/64/cbc /tmp/bfd852e1b709491a833bb530e55b82fa-pulp.mps -timeMode elapsed -branch -printingOptions all -solution /tmp/bfd852e1b709491a833bb530e55b82fa-pulp.sol (default strategy 1)
At line 2 NAME MODEL
At line 3 ROWS
At line 3489 COLUMNS
At line 2889597 RHS
At line 2893082 BOUNDS
At line 2893083 ENDATA
Problem MODEL has 3484 rows, 962063 columns and 1924126 elements
Coin0008I MODEL read with 0 errors
Option for timeMode changed from cpu to elapsed
Presolve 3417 (-67) rows, 901451 (-60612) columns and 1802895 (-121231) elements
0 Obj 2067277.6 Primal inf 13471680 (875)
143 Obj 1.9968435e+08 Primal inf 9565205.1 (1271)
286 Obj 2.8072984e+08 Primal inf 9638807.7 (1336)
429 Obj 3.7157669e+08 Primal inf 10431666 (1456)
572 Obj 4.7021699e+08 Primal inf 10982702 (1502)
715 Obj 5.1455127e+08 Primal inf 10360566 (1542)
858 Obj 5.6500867e+08 Primal inf 13140680 (1606)
1001 Obj 6.2432098e+08 Primal inf 9280467.1 (1650)
1144 Obj 6.6565492e+08 Primal inf 10487445 (1681)
1287 Obj 7.0246889e+08 Primal inf 8942200.1 (1725)
1430 Obj 7.3270551e+08 Primal inf 9346698.1 (1731)
1573 Obj 7.6093371e+08 Primal inf 7818497 (1734)
1716 Obj 7.9777525e+08 Primal inf 8958878.2 (1801)
1859 Obj 8.3557369e+08 Primal inf 8245634.1 (1809)
2002 Obj 8.4789937e+08 Primal inf 7975065 (1807)
2145 Obj 8.9211617e+08 Primal inf 7511456.5 (1802)
2288 Obj 9.1556441e+08 Primal inf 7866771.8 (1799)
2431 Obj 9.3792954e+08 Primal inf 8025176.5 (1839)
2574 Obj 9.5871881e+08 Primal inf 8666582.3 (1855)
2717 Obj 9.5906103e+08 Primal inf 9969090.1 (1861)
2860 Obj 9.6056703e+08 Primal inf 8465574.9 (1863)
3003 Obj 9.6164141e+08 Primal inf 8366279.8 (1864)
3146 Obj 9.6695273e+08 Primal inf 8259541.6 (1850)
3289 Obj 9.7553772e+08 Primal inf 8023203.6 (1870)
3432 Obj 9.8633582e+08 Primal inf 6884912.8 (1859)
3575 Obj 1.0015491e+09 Primal inf 6904767.4 (1879)
3718 Obj 1.02334e+09 Primal inf 7161478.6 (1885)
3861 Obj 1.0279879e+09 Primal inf 8103299.2 (1897)
4004 Obj 1.0364989e+09 Primal inf 8562308.8 (1936)
4147 Obj 1.0551593e+09 Primal inf 9086278.3 (1955)
4290 Obj 1.0620322e+09 Primal inf 8990887.5 (1957)
4433 Obj 1.0699302e+09 Primal inf 6754145 (1937)
4576 Obj 1.0821055e+09 Primal inf 7387101 (1975)
4719 Obj 1.0898412e+09 Primal inf 7140451.3 (1971)
4862 Obj 1.0956251e+09 Primal inf 7531082.9 (1969)
5005 Obj 1.1063929e+09 Primal inf 7189090.6 (1969)
5148 Obj 1.1209927e+09 Primal inf 5907596.1 (1969)
5291 Obj 1.1292999e+09 Primal inf 5441119.9 (1966)
5434 Obj 1.1361379e+09 Primal inf 5144102.8 (1949)
5577 Obj 1.1595052e+09 Primal inf 5942289.9 (1969)
5720 Obj 1.1678657e+09 Primal inf 5994478.7 (1967)
5863 Obj 1.1732004e+09 Primal inf 5528031.8 (1974)
6006 Obj 1.1766289e+09 Primal inf 5043264.5 (1968)
6149 Obj 1.1845647e+09 Primal inf 5667264.9 (1987)
6292 Obj 1.1901778e+09 Primal inf 5873751.8 (2002)
6435 Obj 1.1974334e+09 Primal inf 5498928.8 (1981)
6578 Obj 1.2040076e+09 Primal inf 6394678 (1978)
6721 Obj 1.2113064e+09 Primal inf 4575322.3 (1931)
6864 Obj 1.220394e+09 Primal inf 3686142.8 (1943)
7007 Obj 1.2252809e+09 Primal inf 3773865.4 (1937)
7150 Obj 1.2286098e+09 Primal inf 3271217 (1933)
7293 Obj 1.2372074e+09 Primal inf 3858540 (1931)
7436 Obj 1.2426105e+09 Primal inf 3633666 (1905)
7579 Obj 1.2467519e+09 Primal inf 5125096 (1925)
7722 Obj 1.2517721e+09 Primal inf 5525003.9 (1915)
7865 Obj 1.2546015e+09 Primal inf 4333979 (1890)
8008 Obj 1.2559421e+09 Primal inf 2971006.3 (1865)
8151 Obj 1.2585448e+09 Primal inf 3658179.2 (1877)
8294 Obj 1.2618267e+09 Primal inf 4882984.8 (1878)
8437 Obj 1.263859e+09 Primal inf 2812615.5 (1834)
8580 Obj 1.268464e+09 Primal inf 3030609 (1827)
8723 Obj 1.2722226e+09 Primal inf 3491686.8 (1812)
8866 Obj 1.2769033e+09 Primal inf 2430934.5 (1793)
9009 Obj 1.2872657e+09 Primal inf 3348504.1 (1815)
9152 Obj 1.2913543e+09 Primal inf 2593127.5 (1786)
9295 Obj 1.2932509e+09 Primal inf 3024674 (1790)
9438 Obj 1.2995712e+09 Primal inf 2689584.9 (1781)
9581 Obj 1.3038614e+09 Primal inf 1771675.9 (1744)
9724 Obj 1.3092291e+09 Primal inf 1893340.1 (1730)
9867 Obj 1.3109299e+09 Primal inf 1915969.1 (1734)
10010 Obj 1.3155723e+09 Primal inf 1924783.2 (1724)
10153 Obj 1.3168609e+09 Primal inf 1806746.4 (1693)
10296 Obj 1.3205797e+09 Primal inf 1647983.2 (1673)
10439 Obj 1.3244343e+09 Primal inf 1392641.8 (1629)
10582 Obj 1.3263466e+09 Primal inf 1393234.4 (1618)
10725 Obj 1.3300939e+09 Primal inf 1287437.4 (1630)
10868 Obj 1.3337752e+09 Primal inf 1228918.8 (1627)
11011 Obj 1.3369451e+09 Primal inf 1448829.9 (1619)
11154 Obj 1.3416116e+09 Primal inf 1527688.9 (1624)
11297 Obj 1.34661e+09 Primal inf 1616586.2 (1611)
11440 Obj 1.3491041e+09 Primal inf 1515791.7 (1589)
11583 Obj 1.3516083e+09 Primal inf 1500360.9 (1575)
11726 Obj 1.3538877e+09 Primal inf 1250230.7 (1566)
11869 Obj 1.3552227e+09 Primal inf 1221576.2 (1541)
12012 Obj 1.3564255e+09 Primal inf 1040339.5 (1541)
12155 Obj 1.3574103e+09 Primal inf 960528.42 (1525)
12298 Obj 1.3590098e+09 Primal inf 772511.09 (1515)
12441 Obj 1.3598563e+09 Primal inf 888886.01 (1514)
12584 Obj 1.3614247e+09 Primal inf 760240.43 (1494)
12727 Obj 1.3623463e+09 Primal inf 604493.97 (1484)
12870 Obj 1.3629775e+09 Primal inf 430423.12 (1442)
13013 Obj 1.3641228e+09 Primal inf 371164.94 (1438)
13156 Obj 1.3658103e+09 Primal inf 289513.43 (1414)
13299 Obj 1.3664611e+09 Primal inf 239878.51 (1402)
13442 Obj 1.3670596e+09 Primal inf 244770.4 (1368)
13585 Obj 1.367441e+09 Primal inf 148563.85 (1330)
13728 Obj 1.3677501e+09 Primal inf 142234.32 (1311)
13871 Obj 1.3680527e+09 Primal inf 92615.608 (1311)
14014 Obj 1.3685909e+09 Primal inf 66414.472 (1290)
14157 Obj 1.3687332e+09 Primal inf 55720.241 (1275)
14300 Obj 1.3688312e+09 Primal inf 42532.108 (1264)
14443 Obj 1.3689119e+09 Primal inf 25076.414 (1242)
14586 Obj 1.3691469e+09 Primal inf 14276.204 (1203)
14729 Obj 1.3692188e+09 Primal inf 6293.0007 (1186)
14872 Obj 1.369287e+09 Primal inf 3520.1217 (1170)
15015 Obj 1.3693422e+09 Primal inf 708.38725 (1145)
15158 Obj 1.3693624e+09 Primal inf 110.93584 (1102)
15301 Obj 1.3693632e+09 Primal inf 96.530102 (974)
15444 Obj 1.3693633e+09 Primal inf 82.530242 (834)
15587 Obj 1.3693634e+09 Primal inf 68.230385 (691)
15730 Obj 1.3693636e+09 Primal inf 53.730529 (547)
15873 Obj 1.3693636e+09 Primal inf 39.530671 (405)
16016 Obj 1.3693639e+09 Primal inf 25.930807 (269)
16159 Obj 1.3693642e+09 Primal inf 12.130945 (131)
16299 Obj 1.3693655e+09
Optimal - objective value 1.3693655e+09
After Postsolve, objective 1.3693655e+09, infeasibilities - dual 0 (0), primal 0 (0)
Optimal objective 1369365497 - 16299 iterations time 24.332, Presolve 1.08
Option for printingOptions changed from normal to all
Total time (CPU seconds): 26.58 (Wallclock seconds): 26.82
Stitching LP results and demand
Combining results
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/model.py:392: FutureWarning: In a future version, object-dtype columns with all-bool values will not be included in reductions with bool_only=True. Explicitly cast to bool dtype instead.
pd.concat(
Processing results
start
322662.718770998
after consolidate
322662.718770998
after consolidate again
322662.718770998
⚐ WARNING Use the validate option with pd.merge or pass validate=None to suppress this warning
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/process.py:276
after merge mill group
322662.718770998
⚐ WARNING Use the validate option with pd.merge or pass validate=None to suppress this warning
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/process.py:310
end
322662.718770998
branch
DOMESTIC LP 2 11125643
DOMESTIC PRE-LP 2 2708137
NO TRACEABILITY LP 2 2369506
NO TRACEABILITY PRE-LP 2 576771
TRACEABILITY EXCESS LP 1 723130
TRACEABILITY EXCESS PRE-LP 1 348086
TRACEABILITY LP 1 15338856
TRACEABILITY PRE-LP 1 9693387
Name: vol, dtype: int64
Uploaded /mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/2018/results/results_KM_0_MGD_30.yml to s3://trase-storage/indonesia/palm_oil/sei_pcs/v1.2.3/SEIPCS_INDONESIA_PALM_OIL_2018_KM_0_MGD_30.yml[0m
Uploaded /mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/2018/results/results_KM_0_MGD_30.csv to s3://trase-storage/indonesia/palm_oil/sei_pcs/v1.2.3/SEIPCS_INDONESIA_PALM_OIL_2018_KM_0_MGD_30.csv[0m
- complete
Extracting data from source ...[0m [97m took 0.0 seconds[0m
[97mSkipping re-process of Flows[0m
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[1mRunning pre-processing for MillGroups[0m
Report: Before processing[0m
| Row Count: 1,241[0m
Report: After processing[0m
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[32mWritten /mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/2019/prepared/mill_group.csv[0m
Extracting data from source ...[0m [97m took 0.1 seconds[0m
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[33mWARNING: supply shed has excess demand, LP will not find solution unless option `allow_deviation=True` is used[0m
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[33m FFB-11131 20063[0m
[33m FFB-10859 944[0m
[33m FFB-11526 300[0m
[33m FFB-05256 16[0m
[33m FFB-11617 102[0m
[33m FFB-05237 13[0m
[33m FFB-11063 130[0m
[33m FFB-11110 147[0m
[33m FFB-05443 9[0m
[33m FFB-10920 393[0m
[33m FFB-06181 2576[0m
[33m FFB-05193 233[0m
[33m FFB-06185 5[0m
[33m FFB-11538 3133[0m
[33m FFB-05311 4[0m
[33m FFB-05224 22[0m
[33m FFB-05123 89[0m
[33m FFB-11099 83[0m
[33m FFB-05268 65[0m
[33m FFB-05076 22[0m
[33m FFB-11624 81[0m
[33m FFB-11067 33[0m
[33m FFB-11533 1701[0m
[33m FFB-11049 270[0m
[33m FFB-05401 22[0m
[33m FFB-11105 42[0m
[33m FFB-11140 16130[0m
[33m FFB-10978 142[0m
[33m FFB-10894 136[0m
[33m FFB-05190 1[0m
[33m FFB-05238 28[0m
[33m FFB-11529 9794[0m
[33m FFB-05113 1135[0m
[33m FFB-05305 9[0m
[33m FFB-11026 170[0m
[33m FFB-05086 1142[0m
[33m FFB-04990 2825[0m
[33m FFB-04979 4938[0m
[33m FFB-11093 94[0m
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[33m FFB-04987 90[0m
[33m FFB-10922 262[0m
[33m FFB-05073 632[0m
[33m FFB-05089 5[0m
[33m FFB-11027 30283[0m
[33m FFB-11813 478[0m
[33m FFB-05095 1[0m
[33m FFB-11815 8438[0m
[33m FFB-05082 8[0m
[33m FFB-11537 9[0m
[33m FFB-06188 22[0m
[33m FFB-11094 11[0m
[33m FFB-05398 23[0m
[33m FFB-10848 1092[0m
[33m FFB-11031 5452[0m
[33m FFB-05468 266[0m
[33m FFB-05472 62[0m
[33m FFB-04981 361[0m
[33m FFB-05362 14[0m
[33m FFB-05107 3464[0m
[33m FFB-10861 2314[0m
[33m FFB-05094 875[0m
[33m FFB-05236 279[0m
[33m FFB-04593 7[0m
[33m FFB-10931 1708[0m
[33m FFB-10984 19[0m
[33m FFB-11820 8329[0m
[33m FFB-10990 42[0m
[33m FFB-10933 1617[0m
[33m FFB-11056 11[0m
[33m FFB-10862 14158[0m
[33m FFB-11052 77[0m
[33m FFB-11106 8[0m
[33m FFB-11124 3296[0m
[33m FFB-11113 0[0m
[33m FFB-05126 340[0m
[33m FFB-05324 36[0m
[33m FFB-05069 5944[0m
[33m FFB-04844 3844[0m
[33m FFB-05474 12[0m
[33m FFB-11541 2166[0m
[33m FFB-05087 28[0m
[33m FFB-10878 502[0m
[33m FFB-05328 180[0m
[33m FFB-05181 2[0m
[33m FFB-11837 11[0m
[33m FFB-05277 15784[0m
[33m FFB-11519 4946[0m
[33m FFB-10900 356[0m
[33m FFB-10867 600[0m
[33m FFB-11025 4277[0m
[33m FFB-11542 10225[0m
[33m FFB-04978 5508[0m
[33m FFB-05280 323[0m
[33m FFB-10866 10218[0m
[33m FFB-10849 3133[0m
[33m FFB-11545 38377[0m
[33m FFB-04825 19[0m
[33m FFB-10887 2086[0m
[33m FFB-05114 59[0m
[33m FFB-11834 54[0m
[33m FFB-10915 11[0m
[33m FFB-10928 1217[0m
[33m FFB-05103 1735[0m
[33m FFB-04615 25[0m
[33m FFB-11141 10873[0m
[33m FFB-11143 22864[0m
[33m FFB-05297 6593[0m
[33m FFB-11066 167[0m
[33m FFB-11062 221[0m
[33m FFB-05212 36[0m
[33m FFB-05285 43[0m
[33m FFB-11523 326[0m
[33m FFB-05180 838[0m
[33m FFB-10860 16[0m
[33m FFB-11833 1102[0m
[33m FFB-11535 21694[0m
[33m FFB-04838 45[0m
[33m FFB-11024 1384[0m
[33m FFB-04874 5[0m
[33m FFB-05298 48[0m
[33m FFB-05078 713[0m
[33m FFB-10911 2[0m
[33m FFB-05220 2825[0m
[33m FFB-05295 20[0m
[33m FFB-05289 1218[0m
[33m FFB-10923 562[0m
[33m FFB-05293 247[0m
[33m FFB-05074 17[0m
[33m FFB-11138 14604[0m
[33m FFB-10893 689[0m
[33m FFB-05178 1243[0m
[33m FFB-05196 3[0m
[33m FFB-11112 0[0m
[33m FFB-11089 0[0m
[33m FFB-11620 0[0m
[33m FFB-05315 2[0m
[33m FFB-11133 20046[0m
[33m FFB-10938 20893[0m
[33m FFB-11126 26940[0m
[33m FFB-10982 21[0m
[33m FFB-05400 6[0m
[33m FFB-05264 21[0m
[33m FFB-05101 541[0m
[33m FFB-11866 884[0m
[33m FFB-05319 44[0m
[33m FFB-10991 658[0m
[33m FFB-05119 6[0m
[33m FFB-10963 725[0m
[33m FFB-11128 35094[0m
[33m FFB-05288 12[0m
[33m FFB-05071 10[0m
[33m FFB-04600 6[0m
[33m FFB-11832 1576[0m
[33m FFB-10864 1569[0m
[33m FFB-05303 2[0m
[33m FFB-05451 15[0m
[33m FFB-11814 4550[0m
[33m FFB-04985 4905[0m
[33m FFB-10968 68[0m
[33m FFB-11824 8945[0m
[33m FFB-04608 3[0m
[33m FFB-11051 8[0m
[33m FFB-05081 175[0m
[33m FFB-11829 13125[0m
[33m total supply 896613[0m
[33m[0m
[33m sinks / demand[0m
[33m[0m
[33m M-00065 5685[0m
[33m M-00077 5685[0m
[33m M-00076 50422[0m
[33m M-00929 5685[0m
[33m M-01213 27173[0m
[33m M-00889 67230[0m
[33m M-00441 272837[0m
[33m M-01238 5685[0m
[33m M-00907 4264[0m
[33m M-01277 4264[0m
[33m M-00302 75633[0m
[33m M-01249 16175[0m
[33m M-01279 25211[0m
[33m M-01272 27338[0m
[33m M-01036 5685[0m
[33m M-01260 24348[0m
[33m M-00074 5685[0m
[33m M-01291 25211[0m
[33m M-01261 11895[0m
[33m M-00068 37816[0m
[33m M-01061 7927[0m
[33m M-01230 4264[0m
[33m M-01265 18225[0m
[33m M-01250 18225[0m
[33m M-00753 50422[0m
[33m M-01266 4264[0m
[33m M-01273 15855[0m
[33m M-00892 15855[0m
[33m M-00815 7927[0m
[33m M-01317 11891[0m
[33m M-00431 37816[0m
[33m total demand 896614[0m
[33m[0m
[33mWARNING: exports of RPO from port P-0137 for trader E-0479 have no match in 'exporter_mills' file[0m
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:277: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df_remaining_output["output"] -= df_remaining_output.pop("demand")
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:277: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df_remaining_output["output"] -= df_remaining_output.pop("demand")
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:240: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.
To preserve the previous behavior, use
>>> .groupby(..., group_keys=False)
To adopt the future behavior and silence this warning, use
>>> .groupby(..., group_keys=True)
df_mill_excess = df_demand.groupby("mill_id")["vol"].apply(sum).reset_index()
Running pre-LP 1
________________________________________________________________________________
Production: 47120245 % exports branch
|
+--+- Domestic demand: 17839700
| +- Exports: 29280544
| |
| +--+- Unknown: 0 0%
| | +- Known: 29280544 100%
| | |
| | +- Traceability: 26237788 89%
| | | | |
| | | | +- Matched: 25517398 87%
| | | | +- Excess: 720317 2%
| | | |
| | | +- Pre-LP 1: 10561688 36%
| | | | |
| | | | +- Matched: 10371796 35% TRACEABILITY PRE-LP 1
| | | | +- Excess: 189892 0% TRACEABILITY EXCESS PRE-LP 1
| | | |
| | | +- LP 1: 15676099 53%
| | | |
| | | +- Matched: 15145601 51% TRACEABILITY LP 1
| | | +- Excess: 530424 1% TRACEABILITY EXCESS LP 1
| | |
| | +- No traceability: 3042755 10%
Running LP 1
Retrieving costs
Solving LP
Welcome to the CBC MILP Solver
Version: 2.10.3
Build Date: Dec 15 2019
command line - /home/sagemaker-user/.conda/envs/trase-env/lib/python3.10/site-packages/pulp/solverdir/cbc/linux/64/cbc /tmp/0904c680595147a5adaaa0e826d6eff6-pulp.mps -timeMode elapsed -branch -printingOptions all -solution /tmp/0904c680595147a5adaaa0e826d6eff6-pulp.sol (default strategy 1)
At line 2 NAME MODEL
At line 3 ROWS
At line 11238 COLUMNS
At line 47630089 RHS
At line 47641323 BOUNDS
At line 47641324 ENDATA
Problem MODEL has 11233 rows, 15873303 columns and 31746606 elements
Coin0008I MODEL read with 0 errors
Option for timeMode changed from cpu to elapsed
Presolve 11233 (0) rows, 15873303 (0) columns and 31746606 (0) elements
Perturbing problem by 0.001% of 2721.6405 - largest nonzero change 0.0035396085 ( 3.7153051%) - largest zero change 0.0013653113
0 Obj 0 Primal inf 15676022 (6691)
281 Obj 1.0255352e+08 Primal inf 11425753 (6909)
562 Obj 1.3108421e+08 Primal inf 9790344.9 (6849)
843 Obj 1.5285e+08 Primal inf 8457156.1 (6745)
1124 Obj 1.7391064e+08 Primal inf 7603598.8 (6672)
1405 Obj 1.9082264e+08 Primal inf 7145677.7 (6607)
1686 Obj 2.0361942e+08 Primal inf 6602786 (6515)
1967 Obj 2.1585646e+08 Primal inf 5790890.6 (6412)
2248 Obj 2.260093e+08 Primal inf 5140915.5 (6324)
2529 Obj 2.3547821e+08 Primal inf 4663392.6 (6198)
2810 Obj 2.4622929e+08 Primal inf 4089698.8 (6101)
3091 Obj 2.5355795e+08 Primal inf 3622513.8 (5997)
3372 Obj 2.6015743e+08 Primal inf 3151183 (5874)
3653 Obj 2.6695314e+08 Primal inf 2750700.6 (5762)
3934 Obj 2.718759e+08 Primal inf 2278186.6 (5624)
4215 Obj 2.771333e+08 Primal inf 2032951 (5476)
4496 Obj 2.8073188e+08 Primal inf 1733718.2 (5348)
4777 Obj 2.8443034e+08 Primal inf 1513736.3 (5231)
5058 Obj 2.8813617e+08 Primal inf 1172150.2 (5083)
5339 Obj 2.9148806e+08 Primal inf 986567.15 (4927)
5620 Obj 2.9420622e+08 Primal inf 779716.92 (4727)
5901 Obj 2.9696741e+08 Primal inf 626529.65 (4542)
6182 Obj 2.9894155e+08 Primal inf 519396.53 (4371)
6463 Obj 3.0028341e+08 Primal inf 410627.89 (4191)
6744 Obj 3.0180733e+08 Primal inf 302231.19 (3969)
7025 Obj 3.0286445e+08 Primal inf 258666.63 (3787)
7306 Obj 3.0402446e+08 Primal inf 165458.11 (3545)
7587 Obj 3.0480134e+08 Primal inf 132182.91 (3329)
7868 Obj 3.0541539e+08 Primal inf 92405.569 (3074)
8149 Obj 3.0602719e+08 Primal inf 60441.162 (2825)
8430 Obj 3.0642164e+08 Primal inf 36888.519 (2577)
8711 Obj 3.0671968e+08 Primal inf 22371.174 (2314)
8992 Obj 3.0691331e+08 Primal inf 10994.636 (2057)
9273 Obj 3.0703087e+08 Primal inf 5794.2509 (1786)
9554 Obj 3.0710427e+08 Primal inf 2494.8952 (1514)
9835 Obj 3.0714558e+08 Primal inf 817.68049 (1245)
10116 Obj 3.0715835e+08 Primal inf 268.8653 (964)
10397 Obj 3.0716284e+08 Primal inf 76.895676 (694)
10678 Obj 3.071635e+08 Primal inf 41.949236 (420)
10959 Obj 3.0716351e+08 Primal inf 14.798542 (148)
11111 Obj 3.0716354e+08
11111 Obj 3.0714738e+08 Dual inf 0.0013851631 (10)
11113 Obj 3.0714738e+08
Optimal - objective value 3.0714738e+08
Optimal objective 307147382.9 - 11113 iterations time 44.882
Option for printingOptions changed from normal to all
Total time (CPU seconds): 82.64 (Wallclock seconds): 90.25
Stitching LP results and demand
⚐ WARNING Use the validate option with pd.merge or pass validate=None to suppress this warning
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:324
Running pre-LP 2
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:337: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
df_untraceable_demand = df_untraceable_demand.append(
________________________________________________________________________________
Production: 47120245 % exports branch
|
+--+- Domestic demand: 17839700
| +- Exports: 29280544
| |
| +--+- Unknown: 0 0%
| | +- Known: 29280544 100%
| | |
| | +- Traceability: 26237788 89%
| | | | |
| | | | +- Matched: 25517398 87%
| | | | +- Excess: 720317 2%
| | | |
| | | +- Pre-LP 1: 10561688 36%
| | | | |
| | | | +- Matched: 10371796 35% TRACEABILITY PRE-LP 1
| | | | +- Excess: 189892 0% TRACEABILITY EXCESS PRE-LP 1
| | | |
| | | +- LP 1: 15676099 53%
| | | |
| | | +- Matched: 15145601 51% TRACEABILITY LP 1
| | | +- Excess: 530424 1% TRACEABILITY EXCESS LP 1
| | |
| | +- No traceability: 3042755 10%
| | |
+---+----------+- Untraceable demand 20882456
|
+- Pre-LP 2: 4819461
| |
| +- Domestic: 4117431 DOMESTIC PRE-LP 2
| +- Unknown: 0 UNKNOWN PRE-LP 2
| +- No traceability: 702030 NO TRACEABILITY PRE-LP 2
|
+- LP 2: 16062994
|
+- Domestic: 13722268 DOMESTIC LP 2
+- Unknown: 0 UNKNOWN LP 2
+- No traceability: 2340725 NO TRACEABILITY LP 2
Running LP 2
Retrieving costs
Solving LP
Welcome to the CBC MILP Solver
Version: 2.10.3
Build Date: Dec 15 2019
command line - /home/sagemaker-user/.conda/envs/trase-env/lib/python3.10/site-packages/pulp/solverdir/cbc/linux/64/cbc /tmp/f5423533d07242b78079c0d3cceb6099-pulp.mps -timeMode elapsed -branch -printingOptions all -solution /tmp/f5423533d07242b78079c0d3cceb6099-pulp.sol (default strategy 1)
At line 2 NAME MODEL
At line 3 ROWS
At line 3710 COLUMNS
At line 3527512 RHS
At line 3531218 BOUNDS
At line 3531219 ENDATA
Problem MODEL has 3705 rows, 1174649 columns and 2349298 elements
Coin0008I MODEL read with 0 errors
Option for timeMode changed from cpu to elapsed
Presolve 3628 (-77) rows, 1103652 (-70997) columns and 2207297 (-142001) elements
0 Obj 1531925.4 Primal inf 16045510 (957)
147 Obj 1.9099979e+08 Primal inf 12206550 (1249)
294 Obj 3.0556714e+08 Primal inf 11678424 (1355)
441 Obj 3.7911493e+08 Primal inf 14676547 (1386)
588 Obj 4.7336019e+08 Primal inf 12294535 (1457)
735 Obj 5.6553719e+08 Primal inf 12714018 (1497)
882 Obj 6.3021869e+08 Primal inf 13002491 (1614)
1029 Obj 6.9239288e+08 Primal inf 12795690 (1666)
1176 Obj 7.5927766e+08 Primal inf 12005597 (1764)
1323 Obj 8.0010357e+08 Primal inf 12878352 (1784)
1470 Obj 8.3554342e+08 Primal inf 12843226 (1789)
1617 Obj 8.6048931e+08 Primal inf 12308289 (1796)
1764 Obj 9.0774579e+08 Primal inf 10168522 (1829)
1911 Obj 9.3241738e+08 Primal inf 11637553 (1881)
2058 Obj 9.546284e+08 Primal inf 12152636 (1878)
2205 Obj 9.8268471e+08 Primal inf 14920220 (1892)
2352 Obj 9.959853e+08 Primal inf 13539972 (1918)
2499 Obj 1.0174528e+09 Primal inf 10856835 (1932)
2646 Obj 1.0479678e+09 Primal inf 12217313 (1952)
2793 Obj 1.0626846e+09 Primal inf 12460711 (1987)
2940 Obj 1.0662539e+09 Primal inf 12962415 (2000)
3087 Obj 1.0833607e+09 Primal inf 12453882 (1996)
3234 Obj 1.1065384e+09 Primal inf 11744836 (2001)
3381 Obj 1.1256357e+09 Primal inf 10441272 (1983)
3528 Obj 1.1465105e+09 Primal inf 8688262.2 (1976)
3675 Obj 1.1677384e+09 Primal inf 9675759.7 (2030)
3822 Obj 1.1844732e+09 Primal inf 9526961.1 (2018)
3969 Obj 1.2069578e+09 Primal inf 10446831 (2017)
4116 Obj 1.2118476e+09 Primal inf 10849309 (2024)
4263 Obj 1.2478563e+09 Primal inf 9652875.4 (2018)
4410 Obj 1.2669198e+09 Primal inf 8675752.4 (2017)
4557 Obj 1.292462e+09 Primal inf 10778361 (2033)
4704 Obj 1.3172493e+09 Primal inf 12971979 (2025)
4851 Obj 1.3339033e+09 Primal inf 10536289 (2027)
4998 Obj 1.3614699e+09 Primal inf 10128593 (2047)
5145 Obj 1.375226e+09 Primal inf 9530949.2 (2057)
5292 Obj 1.391628e+09 Primal inf 11207240 (2054)
5439 Obj 1.4070331e+09 Primal inf 11094692 (2043)
5586 Obj 1.4173258e+09 Primal inf 9857525.8 (2058)
5733 Obj 1.4272941e+09 Primal inf 10552365 (2053)
5880 Obj 1.4392133e+09 Primal inf 10201593 (2044)
6027 Obj 1.4451759e+09 Primal inf 8813470.8 (2053)
6174 Obj 1.4629734e+09 Primal inf 8881773.4 (2047)
6321 Obj 1.4733633e+09 Primal inf 9907405.9 (2046)
6468 Obj 1.4833432e+09 Primal inf 8596820.2 (2037)
6615 Obj 1.4954962e+09 Primal inf 8822727.4 (2035)
6762 Obj 1.5043628e+09 Primal inf 9623108.3 (2039)
6909 Obj 1.5165108e+09 Primal inf 7036757.4 (2049)
7056 Obj 1.5258222e+09 Primal inf 8980647.8 (2034)
7203 Obj 1.5341001e+09 Primal inf 8661216.3 (2015)
7350 Obj 1.545545e+09 Primal inf 5292461.3 (1998)
7497 Obj 1.5560661e+09 Primal inf 9096894.7 (2032)
7644 Obj 1.5650827e+09 Primal inf 9857973.2 (2044)
7791 Obj 1.5697834e+09 Primal inf 9563997.4 (2026)
7938 Obj 1.5783337e+09 Primal inf 7036050.1 (1998)
8085 Obj 1.5862354e+09 Primal inf 7647151.6 (1987)
8232 Obj 1.5953687e+09 Primal inf 4675109.3 (1962)
8379 Obj 1.6048314e+09 Primal inf 6249121 (1970)
8526 Obj 1.6132828e+09 Primal inf 5885676.6 (1963)
8673 Obj 1.6196191e+09 Primal inf 5470196.8 (1950)
8820 Obj 1.6259476e+09 Primal inf 5392586.7 (1958)
8967 Obj 1.6314176e+09 Primal inf 6482405.2 (1948)
9114 Obj 1.6364939e+09 Primal inf 6338140.3 (1944)
9261 Obj 1.6389439e+09 Primal inf 6153031.8 (1952)
9408 Obj 1.6480061e+09 Primal inf 5716510.1 (1927)
9555 Obj 1.6546201e+09 Primal inf 4326654.2 (1925)
9702 Obj 1.661834e+09 Primal inf 3671336.2 (1897)
9849 Obj 1.6629963e+09 Primal inf 4044879.8 (1896)
9996 Obj 1.6688642e+09 Primal inf 4700463.1 (1921)
10143 Obj 1.672242e+09 Primal inf 4281629.7 (1900)
10290 Obj 1.6756952e+09 Primal inf 3566124.5 (1906)
10437 Obj 1.6804465e+09 Primal inf 3509191.6 (1905)
10584 Obj 1.6822534e+09 Primal inf 4083638.5 (1898)
10731 Obj 1.6849628e+09 Primal inf 4174236.4 (1890)
10878 Obj 1.6890739e+09 Primal inf 3792363.8 (1881)
11025 Obj 1.6967946e+09 Primal inf 4509084.5 (1896)
11172 Obj 1.7000935e+09 Primal inf 3702020.8 (1880)
11319 Obj 1.7028264e+09 Primal inf 3906385 (1893)
11466 Obj 1.7043537e+09 Primal inf 3146735.8 (1860)
11613 Obj 1.70778e+09 Primal inf 2381959.6 (1829)
11760 Obj 1.7111785e+09 Primal inf 2683150.9 (1835)
11907 Obj 1.714703e+09 Primal inf 2220192.4 (1823)
12054 Obj 1.7165606e+09 Primal inf 2691521 (1828)
12201 Obj 1.7221232e+09 Primal inf 2094127.9 (1818)
12348 Obj 1.7228187e+09 Primal inf 2342539.8 (1816)
12495 Obj 1.7323904e+09 Primal inf 2176009.7 (1801)
12642 Obj 1.7349456e+09 Primal inf 2081702.1 (1775)
12789 Obj 1.7410863e+09 Primal inf 1858721.2 (1754)
12936 Obj 1.7432382e+09 Primal inf 1525326.7 (1730)
13083 Obj 1.7448404e+09 Primal inf 1391840.6 (1726)
13230 Obj 1.7497762e+09 Primal inf 1460274.5 (1728)
13377 Obj 1.7520167e+09 Primal inf 1499679.1 (1727)
13524 Obj 1.7544708e+09 Primal inf 1226273.1 (1717)
13671 Obj 1.7558388e+09 Primal inf 1263091.2 (1699)
13818 Obj 1.7572791e+09 Primal inf 1036010.8 (1680)
13965 Obj 1.7592517e+09 Primal inf 984942.21 (1677)
14112 Obj 1.7602919e+09 Primal inf 1014937.4 (1690)
14259 Obj 1.7626985e+09 Primal inf 729506.19 (1652)
14406 Obj 1.7643601e+09 Primal inf 677060.27 (1661)
14553 Obj 1.765038e+09 Primal inf 726167.55 (1659)
14700 Obj 1.7669752e+09 Primal inf 729092.92 (1642)
14847 Obj 1.7684777e+09 Primal inf 610037.78 (1618)
14994 Obj 1.768743e+09 Primal inf 496572.65 (1605)
15141 Obj 1.7695402e+09 Primal inf 455729.46 (1576)
15288 Obj 1.7700556e+09 Primal inf 406725.14 (1570)
15435 Obj 1.7722048e+09 Primal inf 392405.46 (1559)
15582 Obj 1.7731942e+09 Primal inf 407033.23 (1553)
15729 Obj 1.7740584e+09 Primal inf 286283.93 (1519)
15876 Obj 1.775112e+09 Primal inf 340845.9 (1516)
16023 Obj 1.7755889e+09 Primal inf 244846.05 (1503)
16170 Obj 1.7763417e+09 Primal inf 179599.11 (1486)
16317 Obj 1.7777151e+09 Primal inf 154898.68 (1478)
16464 Obj 1.7779549e+09 Primal inf 127258.42 (1465)
16611 Obj 1.7784141e+09 Primal inf 83556.723 (1439)
16758 Obj 1.7786222e+09 Primal inf 74684.397 (1421)
16905 Obj 1.7789531e+09 Primal inf 55450.817 (1406)
17052 Obj 1.7790986e+09 Primal inf 43927.959 (1386)
17199 Obj 1.7791782e+09 Primal inf 22655.799 (1371)
17346 Obj 1.7792774e+09 Primal inf 14223.359 (1357)
17493 Obj 1.7794377e+09 Primal inf 11111.626 (1340)
17640 Obj 1.779526e+09 Primal inf 7469.2202 (1332)
17787 Obj 1.7795791e+09 Primal inf 4598.2227 (1313)
17934 Obj 1.7796044e+09 Primal inf 2483.5804 (1303)
18081 Obj 1.7796413e+09 Primal inf 1253.3879 (1286)
18228 Obj 1.7796429e+09 Primal inf 239.35549 (1274)
18375 Obj 1.7796441e+09 Primal inf 112.80404 (1165)
18522 Obj 1.7796442e+09 Primal inf 98.104184 (1019)
18669 Obj 1.7796443e+09 Primal inf 84.004324 (879)
18816 Obj 1.7796443e+09 Primal inf 69.204472 (731)
18963 Obj 1.7796446e+09 Primal inf 54.504619 (584)
19110 Obj 1.7796446e+09 Primal inf 39.904765 (438)
19257 Obj 1.7796448e+09 Primal inf 25.604907 (296)
19404 Obj 1.7796449e+09 Primal inf 11.005053 (150)
19551 Obj 1.7796459e+09 Primal inf 0.0024518217 (17) Dual inf 5.4318662e-14 (1)
19568 Obj 1.7796459e+09 Dual inf 1.0863732e-13 (2)
Optimal - objective value 1.7796459e+09
After Postsolve, objective 1.7796459e+09, infeasibilities - dual 0 (0), primal 0 (0)
Optimal objective 1779645926 - 19568 iterations time 38.632, Presolve 1.38
Option for printingOptions changed from normal to all
Total time (CPU seconds): 41.33 (Wallclock seconds): 41.72
Stitching LP results and demand
Combining results
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/model.py:392: FutureWarning: In a future version, object-dtype columns with all-bool values will not be included in reductions with bool_only=True. Explicitly cast to bool dtype instead.
pd.concat(
Processing results
start
98289.66984582809
after consolidate
98289.66984582807
after consolidate again
98289.66984582807
⚐ WARNING Use the validate option with pd.merge or pass validate=None to suppress this warning
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/process.py:276
after merge mill group
98289.66984582807
⚐ WARNING Use the validate option with pd.merge or pass validate=None to suppress this warning
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/process.py:310
end
98289.66984582807
branch
DOMESTIC LP 2 13722268
DOMESTIC PRE-LP 2 4117431
NO TRACEABILITY LP 2 2339673
NO TRACEABILITY PRE-LP 2 702030
TRACEABILITY EXCESS LP 1 530424
TRACEABILITY EXCESS PRE-LP 1 189892
TRACEABILITY LP 1 15145597
TRACEABILITY PRE-LP 1 10371796
Name: vol, dtype: int64
Uploaded /mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/2019/results/results_KM_0_MGD_30.yml to s3://trase-storage/indonesia/palm_oil/sei_pcs/v1.2.3/SEIPCS_INDONESIA_PALM_OIL_2019_KM_0_MGD_30.yml[0m
Uploaded /mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/2019/results/results_KM_0_MGD_30.csv to s3://trase-storage/indonesia/palm_oil/sei_pcs/v1.2.3/SEIPCS_INDONESIA_PALM_OIL_2019_KM_0_MGD_30.csv[0m
- complete
Extracting data from source ...[0m [97m took 0.1 seconds[0m
[97mSkipping re-process of Flows[0m
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[97mSkipping re-process of MillOutput[0m
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Extracting data from source ...[0m [97m took 0.1 seconds[0m
[1mRunning pre-processing for MillGroups[0m
Report: Before processing[0m
| Row Count: 1,241[0m
Report: After processing[0m
| Row Count: 1,231[0m
[32mWritten /mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/2020/prepared/mill_group.csv[0m
Extracting data from source ...[0m [97m took 0.1 seconds[0m
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[33mWARNING: supply shed has excess demand, LP will not find solution unless option `allow_deviation=True` is used[0m
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[33mWARNING: supply shed has excess demand, LP will not find solution unless option `allow_deviation=True` is used[0m
[33m[0m
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[33m[0m
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[33m M-01359 22419[0m
[33m M-00190 46146[0m
[33m M-01316 23073[0m
[33m M-00598 18015[0m
[33m M-00890 21071[0m
[33m M-00101 18779[0m
[33m M-00807 28168[0m
[33m M-00039 12519[0m
[33m M-00871 34609[0m
[33m M-00496 46059[0m
[33m M-01226 18015[0m
[33m M-01093 18779[0m
[33m M-00566 36031[0m
[33m M-00134 30392[0m
[33m M-00127 18779[0m
[33m M-00760 34609[0m
[33m M-01024 24021[0m
[33m M-00022 27023[0m
[33m M-00864 23073[0m
[33m M-00359 27023[0m
[33m M-01160 18779[0m
[33m M-01029 23073[0m
[33m M-01348 23073[0m
[33m M-00118 25863[0m
[33m M-00673 35539[0m
[33m M-00361 35196[0m
[33m M-00597 16505[0m
[33m M-00606 46146[0m
[33m M-00534 69219[0m
[33m M-00382 18779[0m
[33m M-00385 18015[0m
[33m M-01162 23692[0m
[33m M-00494 69627[0m
[33m M-01050 30392[0m
[33m M-00319 42143[0m
[33m M-00565 18015[0m
[33m M-00025 17242[0m
[33m M-00559 40523[0m
[33m M-00418 59590[0m
[33m M-01138 42143[0m
[33m M-00490 12010[0m
[33m M-00715 27023[0m
[33m M-00714 115930[0m
[33m M-01198 23073[0m
[33m M-01214 28732[0m
[33m M-00776 12010[0m
[33m M-00235 25863[0m
[33m M-00944 15382[0m
[33m M-00813 34609[0m
[33m M-00043 18015[0m
[33m M-00336 46146[0m
[33m M-00524 26918[0m
[33m M-00790 46146[0m
[33m M-00328 23073[0m
[33m M-00718 46146[0m
[33m M-01096 35880[0m
[33m M-00555 20261[0m
[33m M-00158 20261[0m
[33m M-00251 13507[0m
[33m M-01137 46146[0m
[33m M-01135 23073[0m
[33m M-01306 35880[0m
[33m M-01224 20261[0m
[33m M-00503 12010[0m
[33m M-00809 14397[0m
[33m M-00861 23073[0m
[33m M-00095 42143[0m
[33m M-00919 35087[0m
[33m M-01159 18779[0m
[33m M-00569 18015[0m
[33m M-00168 23073[0m
[33m M-01203 10130[0m
[33m M-00457 36031[0m
[33m M-00887 42143[0m
[33m M-00349 46146[0m
[33m M-00873 12010[0m
[33m M-00600 35689[0m
[33m M-00035 34609[0m
[33m M-00653 22419[0m
[33m M-00397 31607[0m
[33m M-00270 25345[0m
[33m M-00979 46146[0m
[33m M-01041 34609[0m
[33m M-00911 37358[0m
[33m M-00093 17242[0m
[33m M-00439 12010[0m
[33m M-01045 30392[0m
[33m M-00662 26784[0m
[33m M-01227 46146[0m
[33m M-00895 36031[0m
[33m M-00630 12010[0m
[33m M-00995 18976[0m
[33m M-01374 28732[0m
[33m M-00537 23073[0m
[33m M-01200 46146[0m
[33m M-00407 20375[0m
[33m M-01305 18015[0m
[33m M-00562 37558[0m
[33m M-00689 25863[0m
[33m M-00781 20261[0m
[33m M-00120 40523[0m
[33m M-01021 26918[0m
[33m M-00357 36031[0m
[33m M-00574 18015[0m
[33m M-00409 27023[0m
[33m M-00882 7691[0m
[33m M-01130 40523[0m
[33m M-00136 25863[0m
[33m M-01067 6077[0m
[33m M-00865 18015[0m
[33m M-00329 24021[0m
[33m M-00511 60785[0m
[33m M-00591 24021[0m
[33m M-00103 23692[0m
[33m M-00272 46146[0m
[33m M-00030 69100[0m
[33m M-01043 40523[0m
[33m M-00185 23073[0m
[33m M-00772 18015[0m
[33m M-00358 18015[0m
[33m M-01218 34609[0m
[33m M-00778 1801[0m
[33m M-00287 34609[0m
[33m M-00001 36031[0m
[33m M-00814 25863[0m
[33m M-00601 46146[0m
[33m M-00825 18976[0m
[33m M-00716 25863[0m
[33m M-01315 17242[0m
[33m M-00041 35539[0m
[33m M-01125 23073[0m
[33m M-01202 27663[0m
[33m M-00201 23073[0m
[33m M-00608 23073[0m
[33m M-01222 34484[0m
[33m M-00560 40523[0m
[33m M-00233 70051[0m
[33m M-00595 24021[0m
[33m M-00851 17543[0m
[33m M-00783 40523[0m
[33m M-01166 17242[0m
[33m M-00081 23073[0m
[33m M-00119 7506[0m
[33m M-01091 7691[0m
[33m M-01287 23073[0m
[33m M-00506 34609[0m
[33m M-00646 40523[0m
[33m M-01332 41444[0m
[33m M-00308 24021[0m
[33m M-01313 28732[0m
[33m M-00347 49321[0m
[33m M-00486 23073[0m
[33m M-00266 34484[0m
[33m M-00525 19155[0m
[33m M-00240 23391[0m
[33m M-01051 30392[0m
[33m M-00352 23073[0m
[33m M-00759 34609[0m
[33m M-00579 36031[0m
[33m M-00573 36031[0m
[33m M-00575 36031[0m
[33m M-00955 40523[0m
[33m M-00938 23073[0m
[33m M-00939 46146[0m
[33m M-01251 18779[0m
[33m M-00621 20261[0m
[33m M-00654 36031[0m
[33m M-00408 18015[0m
[33m M-00891 30392[0m
[33m M-00799 15718[0m
[33m M-00208 18779[0m
[33m M-01044 18015[0m
[33m M-00247 23391[0m
[33m M-00963 34484[0m
[33m M-01111 17242[0m
[33m M-00647 40523[0m
[33m M-00568 21018[0m
[33m M-00008 30994[0m
[33m M-00406 46146[0m
[33m M-00444 34609[0m
[33m M-00157 28224[0m
[33m M-01115 28168[0m
[33m M-00722 23073[0m
[33m M-01201 11536[0m
[33m M-00735 6005[0m
[33m M-00523 34609[0m
[33m M-00493 18779[0m
[33m M-00614 17242[0m
[33m M-00701 39000[0m
[33m M-00709 42143[0m
[33m M-00078 46146[0m
[33m M-01196 34609[0m
[33m M-00985 27023[0m
[33m M-00962 25863[0m
[33m M-00583 27023[0m
[33m M-00850 25863[0m
[33m M-00536 69219[0m
[33m M-01300 48042[0m
[33m M-00674 18779[0m
[33m M-00278 50983[0m
[33m M-00315 14047[0m
[33m M-00002 27023[0m
[33m total demand 23913247[0m
[33m[0m
[33mWARNING: exports of RPO from port P-0016 for trader E-0018 have no match in 'exporter_mills' file[0m
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:277: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df_remaining_output["output"] -= df_remaining_output.pop("demand")
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.
To preserve the previous behavior, use
>>> .groupby(..., group_keys=False)
To adopt the future behavior and silence this warning, use
>>> .groupby(..., group_keys=True)
.apply(sum)
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:277: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
df_remaining_output["output"] -= df_remaining_output.pop("demand")
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.
To preserve the previous behavior, use
>>> .groupby(..., group_keys=False)
To adopt the future behavior and silence this warning, use
>>> .groupby(..., group_keys=True)
.apply(sum)
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.
To preserve the previous behavior, use
>>> .groupby(..., group_keys=False)
To adopt the future behavior and silence this warning, use
>>> .groupby(..., group_keys=True)
.apply(sum)
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:240: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.
To preserve the previous behavior, use
>>> .groupby(..., group_keys=False)
To adopt the future behavior and silence this warning, use
>>> .groupby(..., group_keys=True)
df_mill_excess = df_demand.groupby("mill_id")["vol"].apply(sum).reset_index()
Running pre-LP 1
________________________________________________________________________________
Production: 44759150 % exports branch
|
+--+- Domestic demand: 17839622
| +- Exports: 26919527
| |
| +--+- Unknown: 2194220 8%
| | +- Known: 24725307 91%
| | |
| | +- Traceability: 21802639 80%
| | | | |
| | | | +- Matched: 20899353 77%
| | | | +- Excess: 903190 3%
| | | |
| | | +- Pre-LP 1: 8613274 31%
| | | | |
| | | | +- Matched: 8408989 31% TRACEABILITY PRE-LP 1
| | | | +- Excess: 204284 0% TRACEABILITY EXCESS PRE-LP 1
| | | |
| | | +- LP 1: 13189365 48%
| | | |
| | | +- Matched: 12490363 46% TRACEABILITY LP 1
| | | +- Excess: 698905 2% TRACEABILITY EXCESS LP 1
| | |
| | +- No traceability: 2922667 10%
Running LP 1
Retrieving costs
Solving LP
Welcome to the CBC MILP Solver
Version: 2.10.3
Build Date: Dec 15 2019
command line - /home/sagemaker-user/.conda/envs/trase-env/lib/python3.10/site-packages/pulp/solverdir/cbc/linux/64/cbc /tmp/ec304759a04f484484e574af7fd80aaa-pulp.mps -timeMode elapsed -branch -printingOptions all -solution /tmp/ec304759a04f484484e574af7fd80aaa-pulp.sol (default strategy 1)
At line 2 NAME MODEL
At line 3 ROWS
At line 12908 COLUMNS
At line 60617164 RHS
At line 60630068 BOUNDS
At line 60630069 ENDATA
Problem MODEL has 12903 rows, 20201784 columns and 40403568 elements
Coin0008I MODEL read with 0 errors
Option for timeMode changed from cpu to elapsed
Presolve 12903 (0) rows, 20201784 (0) columns and 40403568 (0) elements
Perturbing problem by 0.001% of 2772.8608 - largest nonzero change 0.0035396087 ( 3.8879341%) - largest zero change 0.0013911109
0 Obj 0 Primal inf 13189265 (8297)
289 Obj 82624781 Primal inf 9229875.9 (8401)
578 Obj 1.0633039e+08 Primal inf 7986724.6 (8315)
867 Obj 1.2445008e+08 Primal inf 6999429.5 (8191)
1156 Obj 1.4048417e+08 Primal inf 6258474.5 (8090)
1445 Obj 1.5314895e+08 Primal inf 5936309.3 (7996)
1734 Obj 1.6445144e+08 Primal inf 5655506.7 (7916)
2023 Obj 1.7409637e+08 Primal inf 5014211.6 (7803)
2312 Obj 1.8200438e+08 Primal inf 4433365.5 (7714)
2601 Obj 1.9035849e+08 Primal inf 4062844.2 (7586)
2890 Obj 1.9760838e+08 Primal inf 3589405.1 (7446)
3179 Obj 2.0308587e+08 Primal inf 3096160.4 (7335)
3468 Obj 2.0898064e+08 Primal inf 3045626 (7241)
3757 Obj 2.1301097e+08 Primal inf 2611733.5 (7148)
4046 Obj 2.1780352e+08 Primal inf 2410975.8 (7072)
4335 Obj 2.2172192e+08 Primal inf 2236682.6 (6980)
4624 Obj 2.2567963e+08 Primal inf 1917346.6 (6862)
4913 Obj 2.293603e+08 Primal inf 1731228.7 (6758)
5202 Obj 2.321048e+08 Primal inf 1279639.3 (6614)
5491 Obj 2.3519115e+08 Primal inf 1080130.9 (6456)
5780 Obj 2.3724219e+08 Primal inf 970724.01 (6356)
6069 Obj 2.3896382e+08 Primal inf 808485.34 (6203)
6358 Obj 2.4051032e+08 Primal inf 657965.85 (6053)
6647 Obj 2.4196687e+08 Primal inf 499679.71 (5895)
6936 Obj 2.430692e+08 Primal inf 390568.19 (5684)
7225 Obj 2.4396413e+08 Primal inf 291409.66 (5510)
7514 Obj 2.4474274e+08 Primal inf 197988.96 (5271)
7803 Obj 2.4535245e+08 Primal inf 163133.58 (5088)
8092 Obj 2.4585324e+08 Primal inf 106284.89 (4886)
8381 Obj 2.4628034e+08 Primal inf 70302.125 (4663)
8670 Obj 2.465869e+08 Primal inf 50388.573 (4426)
8959 Obj 2.4684764e+08 Primal inf 32854.894 (4167)
9248 Obj 2.4704885e+08 Primal inf 24117.928 (3897)
9537 Obj 2.4718048e+08 Primal inf 16188.579 (3618)
9826 Obj 2.4729049e+08 Primal inf 11990.681 (3342)
10115 Obj 2.4736143e+08 Primal inf 8602.6288 (3065)
10404 Obj 2.4742701e+08 Primal inf 5907.9781 (2789)
10693 Obj 2.47479e+08 Primal inf 4164.1073 (2507)
10982 Obj 2.4751468e+08 Primal inf 2749.0825 (2227)
11271 Obj 2.4754558e+08 Primal inf 1625.6321 (1946)
11560 Obj 2.4756292e+08 Primal inf 832.26686 (1662)
11849 Obj 2.4757347e+08 Primal inf 383.87418 (1376)
12138 Obj 2.4757845e+08 Primal inf 190.29126 (1087)
12427 Obj 2.4758093e+08 Primal inf 93.82297 (801)
12716 Obj 2.4758183e+08 Primal inf 51.999948 (520)
13005 Obj 2.4758186e+08 Primal inf 25.199975 (252)
13265 Obj 2.4758187e+08
13265 Obj 2.4756825e+08 Dual inf 0.00013851631 (1)
13266 Obj 2.4756825e+08
Optimal - objective value 2.4756825e+08
Optimal objective 247568245.7 - 13266 iterations time 65.522
Option for printingOptions changed from normal to all
Total time (CPU seconds): 113.72 (Wallclock seconds): 123.46
Stitching LP results and demand
Running pre-LP 2
⚐ WARNING Use the validate option with pd.merge or pass validate=None to suppress this warning
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:324
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/demand.py:337: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
df_untraceable_demand = df_untraceable_demand.append(
________________________________________________________________________________
Production: 44759150 % exports branch
|
+--+- Domestic demand: 17839622
| +- Exports: 26919527
| |
| +--+- Unknown: 2194220 8%
| | +- Known: 24725307 91%
| | |
| | +- Traceability: 21802639 80%
| | | | |
| | | | +- Matched: 20899353 77%
| | | | +- Excess: 903190 3%
| | | |
| | | +- Pre-LP 1: 8613274 31%
| | | | |
| | | | +- Matched: 8408989 31% TRACEABILITY PRE-LP 1
| | | | +- Excess: 204284 0% TRACEABILITY EXCESS PRE-LP 1
| | | |
| | | +- LP 1: 13189365 48%
| | | |
| | | +- Matched: 12490363 46% TRACEABILITY LP 1
| | | +- Excess: 698905 2% TRACEABILITY EXCESS LP 1
| | |
| | +- No traceability: 2922667 10%
| | |
+---+----------+- Untraceable demand 22956510
|
+- Pre-LP 2: 6073657
| |
| +- Domestic: 4743357 DOMESTIC PRE-LP 2
| +- Unknown: 583418 UNKNOWN PRE-LP 2
| +- No traceability: 746881 NO TRACEABILITY PRE-LP 2
|
+- LP 2: 16882852
|
+- Domestic: 13096264 DOMESTIC LP 2
+- Unknown: 1610801 UNKNOWN LP 2
+- No traceability: 2175785 NO TRACEABILITY LP 2
Running LP 2
Retrieving costs
Solving LP
Welcome to the CBC MILP Solver
Version: 2.10.3
Build Date: Dec 15 2019
command line - /home/sagemaker-user/.conda/envs/trase-env/lib/python3.10/site-packages/pulp/solverdir/cbc/linux/64/cbc /tmp/8a56abf758d24fc6850b0675f74ccc78-pulp.mps -timeMode elapsed -branch -printingOptions all -solution /tmp/8a56abf758d24fc6850b0675f74ccc78-pulp.sol (default strategy 1)
At line 2 NAME MODEL
At line 3 ROWS
At line 3993 COLUMNS
At line 3876510 RHS
At line 3880499 BOUNDS
At line 3880500 ENDATA
Problem MODEL has 3988 rows, 1290892 columns and 2581784 elements
Coin0008I MODEL read with 0 errors
Option for timeMode changed from cpu to elapsed
Presolve 3908 (-80) rows, 1208213 (-82679) columns and 2416419 (-165365) elements
0 Obj 1679347.9 Primal inf 16863701 (972)
153 Obj 2.0479503e+08 Primal inf 13023361 (1376)
306 Obj 3.0954559e+08 Primal inf 14536874 (1434)
459 Obj 4.4349202e+08 Primal inf 15319129 (1467)
612 Obj 5.4497361e+08 Primal inf 13903679 (1562)
765 Obj 6.419803e+08 Primal inf 16430215 (1623)
918 Obj 7.1865175e+08 Primal inf 12479848 (1660)
1071 Obj 7.732787e+08 Primal inf 15233039 (1703)
1224 Obj 8.4549023e+08 Primal inf 11838585 (1742)
1377 Obj 8.8206788e+08 Primal inf 13734898 (1816)
1530 Obj 9.2193073e+08 Primal inf 13968160 (1849)
1683 Obj 9.4579342e+08 Primal inf 12900622 (1868)
1836 Obj 9.6451454e+08 Primal inf 14214627 (1886)
1989 Obj 9.9237329e+08 Primal inf 14292687 (1941)
2142 Obj 9.9604443e+08 Primal inf 13630659 (1948)
2295 Obj 1.0392575e+09 Primal inf 12833846 (1943)
2448 Obj 1.0698009e+09 Primal inf 12747964 (2030)
2601 Obj 1.0886038e+09 Primal inf 12454756 (2037)
2754 Obj 1.1316994e+09 Primal inf 11423324 (2062)
2907 Obj 1.1511182e+09 Primal inf 12413948 (2082)
3060 Obj 1.1850439e+09 Primal inf 12751355 (2083)
3213 Obj 1.1937222e+09 Primal inf 13361398 (2116)
3366 Obj 1.2156987e+09 Primal inf 11995534 (2114)
3519 Obj 1.2442908e+09 Primal inf 12995696 (2136)
3672 Obj 1.2599788e+09 Primal inf 15910554 (2179)
3825 Obj 1.2803885e+09 Primal inf 11134492 (2163)
3978 Obj 1.3055756e+09 Primal inf 14121617 (2168)
4131 Obj 1.3338239e+09 Primal inf 12938112 (2172)
4284 Obj 1.3407901e+09 Primal inf 14897994 (2174)
4437 Obj 1.3596893e+09 Primal inf 12726161 (2157)
4590 Obj 1.401497e+09 Primal inf 11812838 (2164)
4743 Obj 1.45122e+09 Primal inf 16300338 (2187)
4896 Obj 1.4532875e+09 Primal inf 13671455 (2186)
5049 Obj 1.4877485e+09 Primal inf 12596979 (2191)
5202 Obj 1.5107209e+09 Primal inf 11076888 (2190)
5355 Obj 1.5326719e+09 Primal inf 14019748 (2209)
5508 Obj 1.5601764e+09 Primal inf 13297836 (2209)
5661 Obj 1.5821662e+09 Primal inf 14116790 (2181)
5814 Obj 1.5821686e+09 Primal inf 12097197 (2180)
5967 Obj 1.5977591e+09 Primal inf 10528134 (2182)
6120 Obj 1.6047051e+09 Primal inf 14154844 (2187)
6273 Obj 1.6349502e+09 Primal inf 12139593 (2198)
6426 Obj 1.655719e+09 Primal inf 13757682 (2214)
6579 Obj 1.6591853e+09 Primal inf 12271493 (2206)
6732 Obj 1.6658727e+09 Primal inf 11907505 (2193)
6885 Obj 1.6758497e+09 Primal inf 13370655 (2225)
7038 Obj 1.6822292e+09 Primal inf 12844559 (2205)
7191 Obj 1.7041016e+09 Primal inf 13446647 (2212)
7344 Obj 1.7084233e+09 Primal inf 12464903 (2209)
7497 Obj 1.7272147e+09 Primal inf 12686732 (2211)
7650 Obj 1.7347417e+09 Primal inf 10834806 (2215)
7803 Obj 1.7504871e+09 Primal inf 11396844 (2200)
7956 Obj 1.7625214e+09 Primal inf 16066857 (2201)
8109 Obj 1.7798162e+09 Primal inf 10400174 (2188)
8262 Obj 1.7834713e+09 Primal inf 12666855 (2189)
8415 Obj 1.7950155e+09 Primal inf 10570162 (2165)
8568 Obj 1.8247599e+09 Primal inf 10187764 (2190)
8721 Obj 1.8368966e+09 Primal inf 9292067.3 (2162)
8874 Obj 1.858296e+09 Primal inf 9620263.8 (2164)
9027 Obj 1.8805841e+09 Primal inf 9443138.1 (2187)
9180 Obj 1.8856225e+09 Primal inf 8710017.3 (2182)
9333 Obj 1.8956353e+09 Primal inf 9357459.4 (2173)
9486 Obj 1.9027218e+09 Primal inf 9999338.8 (2196)
9639 Obj 1.9101542e+09 Primal inf 8074422.2 (2187)
9792 Obj 1.9289027e+09 Primal inf 9619030 (2167)
9945 Obj 1.9380478e+09 Primal inf 8946436 (2157)
10098 Obj 1.9537812e+09 Primal inf 8340114 (2187)
10251 Obj 1.9709838e+09 Primal inf 8177671 (2198)
10404 Obj 1.9795847e+09 Primal inf 9062521.8 (2190)
10557 Obj 1.9975328e+09 Primal inf 7948535.6 (2173)
10710 Obj 2.0063019e+09 Primal inf 7201589.6 (2151)
10863 Obj 2.0145932e+09 Primal inf 7356699.7 (2153)
11016 Obj 2.0187279e+09 Primal inf 7657675.4 (2159)
11169 Obj 2.0297456e+09 Primal inf 6646150.2 (2151)
11322 Obj 2.0596065e+09 Primal inf 7122291 (2141)
11475 Obj 2.0706965e+09 Primal inf 5781344.6 (2138)
11628 Obj 2.0839269e+09 Primal inf 5477529.3 (2144)
11781 Obj 2.103843e+09 Primal inf 5557543.3 (2142)
11934 Obj 2.1080514e+09 Primal inf 6420512.3 (2138)
12087 Obj 2.1170909e+09 Primal inf 9444020.1 (2158)
12240 Obj 2.1252587e+09 Primal inf 5435070 (2146)
12393 Obj 2.1360314e+09 Primal inf 7425303.7 (2153)
12546 Obj 2.1401205e+09 Primal inf 5491228.6 (2148)
12699 Obj 2.1450579e+09 Primal inf 5514596.5 (2152)
12852 Obj 2.1477423e+09 Primal inf 6282581.1 (2157)
13005 Obj 2.1531807e+09 Primal inf 6851887.9 (2161)
13158 Obj 2.1561201e+09 Primal inf 6389910.8 (2152)
13311 Obj 2.1653307e+09 Primal inf 5270540.5 (2118)
13464 Obj 2.1724176e+09 Primal inf 5017577.8 (2110)
13617 Obj 2.1749751e+09 Primal inf 4904874 (2113)
13770 Obj 2.1846356e+09 Primal inf 5490366.9 (2094)
13923 Obj 2.1888515e+09 Primal inf 4501470.6 (2093)
14076 Obj 2.1981396e+09 Primal inf 4519890.9 (2073)
14229 Obj 2.2008629e+09 Primal inf 3925152.8 (2073)
14382 Obj 2.2034933e+09 Primal inf 5217930.3 (2064)
14535 Obj 2.2037242e+09 Primal inf 4336954.9 (2063)
14688 Obj 2.2075095e+09 Primal inf 4035322.6 (2069)
14841 Obj 2.2112037e+09 Primal inf 3334075.4 (2062)
14994 Obj 2.2146197e+09 Primal inf 3575802.4 (2031)
15147 Obj 2.2175502e+09 Primal inf 3655359.6 (2018)
15300 Obj 2.2213273e+09 Primal inf 3766604.2 (2022)
15453 Obj 2.2263213e+09 Primal inf 3204848.9 (2017)
15606 Obj 2.2306253e+09 Primal inf 2606407.7 (1998)
15759 Obj 2.234387e+09 Primal inf 2237617.3 (1961)
15912 Obj 2.2386666e+09 Primal inf 3556899.4 (1970)
16065 Obj 2.2433481e+09 Primal inf 2780473.3 (1967)
16218 Obj 2.2475448e+09 Primal inf 3060609.6 (1965)
16371 Obj 2.2497191e+09 Primal inf 2615378.3 (1970)
16524 Obj 2.2531352e+09 Primal inf 2821478.9 (1933)
16677 Obj 2.2550656e+09 Primal inf 2617776.4 (1932)
16830 Obj 2.2597301e+09 Primal inf 2492283.9 (1916)
16983 Obj 2.2602334e+09 Primal inf 2497309.7 (1916)
17136 Obj 2.264725e+09 Primal inf 2733644.4 (1920)
17289 Obj 2.2680644e+09 Primal inf 2515058.2 (1913)
17442 Obj 2.2698788e+09 Primal inf 2388667 (1912)
17595 Obj 2.2720842e+09 Primal inf 2332527.2 (1910)
17748 Obj 2.2771675e+09 Primal inf 1678047.1 (1890)
17901 Obj 2.2801984e+09 Primal inf 2034994.6 (1911)
18054 Obj 2.2814827e+09 Primal inf 1692567.1 (1891)
18207 Obj 2.2852783e+09 Primal inf 1579306.6 (1873)
18360 Obj 2.2881955e+09 Primal inf 2222595.2 (1869)
18513 Obj 2.2897782e+09 Primal inf 2283203.4 (1867)
18666 Obj 2.2918641e+09 Primal inf 1986973.2 (1868)
18819 Obj 2.2936085e+09 Primal inf 1715302.6 (1857)
18972 Obj 2.2982455e+09 Primal inf 2121009.7 (1848)
19125 Obj 2.3017823e+09 Primal inf 1286282.2 (1841)
19278 Obj 2.3025579e+09 Primal inf 1301199.1 (1840)
19431 Obj 2.305158e+09 Primal inf 1323161.1 (1837)
19584 Obj 2.3075021e+09 Primal inf 1369267.2 (1831)
19737 Obj 2.3105598e+09 Primal inf 1254278 (1816)
19890 Obj 2.3149538e+09 Primal inf 1035155.8 (1812)
20043 Obj 2.3169557e+09 Primal inf 1138121.9 (1801)
20196 Obj 2.3179342e+09 Primal inf 1097224.6 (1770)
20349 Obj 2.3213042e+09 Primal inf 1058936 (1765)
20502 Obj 2.3227138e+09 Primal inf 943573.98 (1740)
20655 Obj 2.3244286e+09 Primal inf 894224 (1725)
20808 Obj 2.325279e+09 Primal inf 654930.93 (1726)
20961 Obj 2.3260733e+09 Primal inf 634960.34 (1706)
21114 Obj 2.3267583e+09 Primal inf 598213.35 (1701)
21267 Obj 2.3276919e+09 Primal inf 522910.35 (1693)
21420 Obj 2.3287274e+09 Primal inf 440548.67 (1670)
21573 Obj 2.3292513e+09 Primal inf 345492.11 (1662)
21726 Obj 2.3299402e+09 Primal inf 331422.1 (1646)
21879 Obj 2.330465e+09 Primal inf 318936.62 (1630)
22032 Obj 2.3309896e+09 Primal inf 259897.72 (1635)
22185 Obj 2.3319039e+09 Primal inf 186394.43 (1605)
22338 Obj 2.3323827e+09 Primal inf 183245.99 (1604)
22491 Obj 2.3327498e+09 Primal inf 172482.71 (1587)
22644 Obj 2.3332058e+09 Primal inf 166983.6 (1583)
22797 Obj 2.3334731e+09 Primal inf 184053.24 (1584)
22950 Obj 2.3338141e+09 Primal inf 152841.07 (1567)
23103 Obj 2.3342583e+09 Primal inf 95205.763 (1531)
23256 Obj 2.3343486e+09 Primal inf 82225.296 (1522)
23409 Obj 2.3349586e+09 Primal inf 46525.103 (1500)
23562 Obj 2.3351981e+09 Primal inf 53728.994 (1492)
23715 Obj 2.3352948e+09 Primal inf 36588.3 (1484)
23868 Obj 2.3354132e+09 Primal inf 24254.545 (1465)
24021 Obj 2.3355706e+09 Primal inf 21586.333 (1458)
24174 Obj 2.3356667e+09 Primal inf 18503.606 (1446)
24327 Obj 2.3356873e+09 Primal inf 15021.941 (1430)
24480 Obj 2.3357081e+09 Primal inf 13093.013 (1419)
24633 Obj 2.3357415e+09 Primal inf 6061.1852 (1395)
24786 Obj 2.3357615e+09 Primal inf 2956.2885 (1386)
24939 Obj 2.3358508e+09 Primal inf 1254.3991 (1363)
25092 Obj 2.335854e+09 Primal inf 398.63494 (1343)
25245 Obj 2.3358563e+09 Primal inf 125.97907 (1255)
25398 Obj 2.3358564e+09 Primal inf 111.27921 (1108)
25551 Obj 2.3358565e+09 Primal inf 96.27936 (961)
25704 Obj 2.3358566e+09 Primal inf 81.079511 (810)
25857 Obj 2.3358567e+09 Primal inf 65.679664 (657)
26010 Obj 2.3358567e+09 Primal inf 50.479816 (505)
26163 Obj 2.3358568e+09 Primal inf 35.279968 (353)
26316 Obj 2.3358571e+09 Primal inf 20.880112 (209)
26469 Obj 2.3358571e+09 Primal inf 6.2802579 (63)
26540 Obj 2.3358572e+09
Optimal - objective value 2.3358572e+09
After Postsolve, objective 2.3358572e+09, infeasibilities - dual 0 (0), primal 0 (0)
Optimal objective 2335857221 - 26540 iterations time 64.802, Presolve 1.53
Option for printingOptions changed from normal to all
Total time (CPU seconds): 67.78 (Wallclock seconds): 68.21
Stitching LP results and demand
Combining results
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/model.py:392: FutureWarning: In a future version, object-dtype columns with all-bool values will not be included in reductions with bool_only=True. Explicitly cast to bool dtype instead.
pd.concat(
Processing results
start
55459.28094069753
after consolidate
55459.280940697536
after consolidate again
55459.280940697536
⚐ WARNING Use the validate option with pd.merge or pass validate=None to suppress this warning
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/process.py:276
after merge mill group
55459.280940697536
⚐ WARNING Use the validate option with pd.merge or pass validate=None to suppress this warning
/mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/process.py:310
end
55459.280940697536
branch
DOMESTIC LP 2 13096264
DOMESTIC PRE-LP 2 4743357
NO TRACEABILITY LP 2 2062116
NO TRACEABILITY PRE-LP 2 746881
TRACEABILITY EXCESS LP 1 698905
TRACEABILITY EXCESS PRE-LP 1 204284
TRACEABILITY LP 1 12490359
TRACEABILITY PRE-LP 1 8408989
UNKNOWN LP 2 1610801
UNKNOWN PRE-LP 2 583418
Name: vol, dtype: int64
Uploaded /mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/2020/results/results_KM_0_MGD_30.yml to s3://trase-storage/indonesia/palm_oil/sei_pcs/v1.2.3/SEIPCS_INDONESIA_PALM_OIL_2020_KM_0_MGD_30.yml[0m
Uploaded /mnt/custom-file-systems/efs/fs-049d752ef37739434/shared/shared_repos/TRASE/trase/models/indonesia/palm_oil/2020/results/results_KM_0_MGD_30.csv to s3://trase-storage/indonesia/palm_oil/sei_pcs/v1.2.3/SEIPCS_INDONESIA_PALM_OIL_2020_KM_0_MGD_30.csv[0m
- complete
1h 54min 29s ± 0 ns per loop (mean ± std. dev. of 1 run, 1 loop each)