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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")
[33mWARNING: supply shed has excess demand, LP will not find solution unless option `allow_deviation=True` is used[0m
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/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:104: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:141: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:240: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
df_mill_excess = df_demand.groupby("mill_id")["vol"].apply(sum).reset_index()
/home/sagemaker-user/.admin/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")
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:104: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:141: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:240: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
df_mill_excess = df_demand.groupby("mill_id")["vol"].apply(sum).reset_index()
/home/sagemaker-user/.admin/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")
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:104: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:141: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:240: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
df_mill_excess = df_demand.groupby("mill_id")["vol"].apply(sum).reset_index()
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:104: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:141: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:240: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
df_mill_excess = df_demand.groupby("mill_id")["vol"].apply(sum).reset_index()
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:104: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:129: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:141: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:240: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
df_mill_excess = df_demand.groupby("mill_id")["vol"].apply(sum).reset_index()
/home/sagemaker-user/.admin/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")
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/demand.py:68: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
df_mill_demand["is_unknown"] = df_mill_demand["is_unknown"].fillna(False)
Running pre-LP 1
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/pre_lp.py:19: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/pre_lp.py:46: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
).fillna("NA")
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/pre_lp.py:51: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
/home/sagemaker-user/.admin/repos/TRASE/trase/models/indonesia/palm_oil/pre_lp.py:92: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
________________________________________________________________________________
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
/home/sagemaker-user/.admin/repos/TRASE/trase/tools/sei_pcs/pandas_lp.py:275: FutureWarning: The provided callable <built-in function sum> is currently using np.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string np.sum instead.
.apply(sum)
GLPSOL--GLPK LP/MIP Solver 5.0
Parameter(s) specified in the command line:
--cpxlp /tmp/fa174820f41846d2b207d2490bf0901c-pulp.lp -o /tmp/fa174820f41846d2b207d2490bf0901c-pulp.sol
Reading problem data from '/tmp/fa174820f41846d2b207d2490bf0901c-pulp.lp'...
13001 rows, 19804415 columns, 39608830 non-zeros
12763446 lines were read
GLPK Simplex Optimizer 5.0
13001 rows, 19804415 columns, 39608830 non-zeros
Preprocessing...
13001 rows, 19804415 columns, 39608830 non-zeros
Scaling...
A: min|aij| = 1.000e+00 max|aij| = 1.000e+00 ratio = 1.000e+00
Problem data seem to be well scaled
Constructing initial basis...
Size of triangular part is 13001
0: obj = 2.432487100e+10 inf = 1.600e+07 (32)
29: obj = 2.431515153e+10 inf = 1.599e+07 (32)
58: obj = 2.430480168e+10 inf = 1.599e+07 (32)
87: obj = 2.429661482e+10 inf = 1.598e+07 (32)
116: obj = 2.425525520e+10 inf = 1.595e+07 (32)
145: obj = 2.413148617e+10 inf = 1.586e+07 (32)
174: obj = 2.401462720e+10 inf = 1.577e+07 (32)
203: obj = 2.390351606e+10 inf = 1.568e+07 (31)
232: obj = 2.388635106e+10 inf = 1.567e+07 (31)
261: obj = 2.386774493e+10 inf = 1.566e+07 (31)
290: obj = 2.363720144e+10 inf = 1.551e+07 (31)
319: obj = 2.355568538e+10 inf = 1.546e+07 (31)
349: obj = 2.353644968e+10 inf = 1.545e+07 (31)
379: obj = 2.352607991e+10 inf = 1.544e+07 (31)
408: obj = 2.341758435e+10 inf = 1.536e+07 (31)
437: obj = 2.326071723e+10 inf = 1.526e+07 (31)
466: obj = 2.307053945e+10 inf = 1.511e+07 (30)
495: obj = 2.293739460e+10 inf = 1.502e+07 (30)
524: obj = 2.275742434e+10 inf = 1.489e+07 (30)
553: obj = 2.251319069e+10 inf = 1.471e+07 (30)
582: obj = 2.235026792e+10 inf = 1.460e+07 (30)
612: obj = 2.223128226e+10 inf = 1.450e+07 (30)
641: obj = 2.200076024e+10 inf = 1.433e+07 (30)
670: obj = 2.178192271e+10 inf = 1.418e+07 (30)
699: obj = 2.159965867e+10 inf = 1.406e+07 (30)
728: obj = 2.148692955e+10 inf = 1.399e+07 (30)
757: obj = 2.137136671e+10 inf = 1.391e+07 (30)
786: obj = 2.126346954e+10 inf = 1.384e+07 (30)
816: obj = 2.113556976e+10 inf = 1.375e+07 (30)
845: obj = 2.103510382e+10 inf = 1.367e+07 (30)
875: obj = 2.091014368e+10 inf = 1.358e+07 (30)
905: obj = 2.077734143e+10 inf = 1.348e+07 (30)
934: obj = 2.061206750e+10 inf = 1.338e+07 (30)
964: obj = 2.054368212e+10 inf = 1.334e+07 (30)
994: obj = 2.045166710e+10 inf = 1.329e+07 (30)
1024: obj = 2.038707426e+10 inf = 1.326e+07 (30)
1052: obj = 2.029062123e+10 inf = 1.318e+07 (29) 1
1081: obj = 2.016755462e+10 inf = 1.310e+07 (29)
1110: obj = 2.009989778e+10 inf = 1.305e+07 (29)
1140: obj = 1.990694910e+10 inf = 1.294e+07 (29)
1170: obj = 1.971611885e+10 inf = 1.284e+07 (29)
1200: obj = 1.959276375e+10 inf = 1.271e+07 (29)
1230: obj = 1.939573392e+10 inf = 1.258e+07 (29)
1260: obj = 1.922558376e+10 inf = 1.247e+07 (29)
1290: obj = 1.905934004e+10 inf = 1.237e+07 (29)
1320: obj = 1.894379988e+10 inf = 1.231e+07 (29)
1350: obj = 1.892137376e+10 inf = 1.230e+07 (29)
1380: obj = 1.890435566e+10 inf = 1.229e+07 (29)
1410: obj = 1.890265183e+10 inf = 1.229e+07 (29)
1440: obj = 1.890172560e+10 inf = 1.229e+07 (29)
1470: obj = 1.890070315e+10 inf = 1.229e+07 (29)
1500: obj = 1.888374206e+10 inf = 1.228e+07 (29)
1530: obj = 1.888270062e+10 inf = 1.228e+07 (29)
1560: obj = 1.888158600e+10 inf = 1.228e+07 (29)
1590: obj = 1.888025886e+10 inf = 1.228e+07 (29)
1620: obj = 1.885949883e+10 inf = 1.226e+07 (29)
1650: obj = 1.885827485e+10 inf = 1.226e+07 (29)
1680: obj = 1.885724336e+10 inf = 1.226e+07 (29)
1710: obj = 1.885587909e+10 inf = 1.226e+07 (29)
1739: obj = 1.879509605e+10 inf = 1.222e+07 (29)
1769: obj = 1.865969730e+10 inf = 1.213e+07 (29)
1799: obj = 1.851371294e+10 inf = 1.204e+07 (29)
1829: obj = 1.843731716e+10 inf = 1.199e+07 (29)
1859: obj = 1.833195107e+10 inf = 1.193e+07 (29)
1889: obj = 1.824271624e+10 inf = 1.187e+07 (29)
1918: obj = 1.813388078e+10 inf = 1.180e+07 (29) 1
1948: obj = 1.806458659e+10 inf = 1.176e+07 (29)
1978: obj = 1.795150435e+10 inf = 1.169e+07 (29)
2008: obj = 1.784832963e+10 inf = 1.163e+07 (29)
2038: obj = 1.776575776e+10 inf = 1.157e+07 (29)
2068: obj = 1.766872936e+10 inf = 1.151e+07 (29)
2098: obj = 1.755400541e+10 inf = 1.142e+07 (29)
2128: obj = 1.745479723e+10 inf = 1.136e+07 (29)
2158: obj = 1.738168037e+10 inf = 1.132e+07 (29)
2188: obj = 1.731318315e+10 inf = 1.128e+07 (29)
2218: obj = 1.730633420e+10 inf = 1.127e+07 (29)
2249: obj = 1.730525501e+10 inf = 1.127e+07 (29)
2280: obj = 1.730466173e+10 inf = 1.127e+07 (29)
2311: obj = 1.730299541e+10 inf = 1.127e+07 (29)
2342: obj = 1.730191850e+10 inf = 1.127e+07 (29)
2373: obj = 1.730113901e+10 inf = 1.127e+07 (29)
2404: obj = 1.730017662e+10 inf = 1.127e+07 (29)
2435: obj = 1.729853047e+10 inf = 1.127e+07 (29)
2466: obj = 1.729725169e+10 inf = 1.127e+07 (29)
2497: obj = 1.729594955e+10 inf = 1.127e+07 (29)
2528: obj = 1.729469777e+10 inf = 1.127e+07 (29)
2559: obj = 1.728151193e+10 inf = 1.126e+07 (29)
2590: obj = 1.728043062e+10 inf = 1.126e+07 (29)
2621: obj = 1.727954081e+10 inf = 1.126e+07 (29)
2652: obj = 1.727881139e+10 inf = 1.126e+07 (29)
2683: obj = 1.727792782e+10 inf = 1.126e+07 (29)
2714: obj = 1.727702343e+10 inf = 1.125e+07 (29)
2745: obj = 1.727534038e+10 inf = 1.125e+07 (29)
2776: obj = 1.727379282e+10 inf = 1.125e+07 (29)
2807: obj = 1.726639950e+10 inf = 1.125e+07 (29)
2838: obj = 1.726546551e+10 inf = 1.125e+07 (29)
2869: obj = 1.726394706e+10 inf = 1.125e+07 (29)
2900: obj = 1.719535599e+10 inf = 1.120e+07 (29)
2930: obj = 1.707682432e+10 inf = 1.114e+07 (29)
2960: obj = 1.700492262e+10 inf = 1.110e+07 (29)
2990: obj = 1.694490589e+10 inf = 1.106e+07 (29)
3020: obj = 1.686788251e+10 inf = 1.102e+07 (29)
3049: obj = 1.672756171e+10 inf = 1.093e+07 (29) 1
3079: obj = 1.659236591e+10 inf = 1.084e+07 (29)
3110: obj = 1.639610175e+10 inf = 1.072e+07 (29)
3140: obj = 1.631961887e+10 inf = 1.064e+07 (28)
3170: obj = 1.626254872e+10 inf = 1.059e+07 (28)
3200: obj = 1.614535619e+10 inf = 1.052e+07 (28)
3231: obj = 1.607714396e+10 inf = 1.048e+07 (28)
3262: obj = 1.593548643e+10 inf = 1.038e+07 (27)
3293: obj = 1.580882206e+10 inf = 1.030e+07 (27)
3323: obj = 1.565860667e+10 inf = 1.021e+07 (27)
3354: obj = 1.551028446e+10 inf = 1.011e+07 (27)
3385: obj = 1.541872515e+10 inf = 1.000e+07 (26)
3414: obj = 1.533147573e+10 inf = 9.940e+06 (26) 1
3445: obj = 1.524739877e+10 inf = 9.877e+06 (26)
3476: obj = 1.516981799e+10 inf = 9.820e+06 (26)
3506: obj = 1.510305439e+10 inf = 9.772e+06 (26)
3537: obj = 1.498618295e+10 inf = 9.686e+06 (26)
3568: obj = 1.496492122e+10 inf = 9.673e+06 (26)
3599: obj = 1.494804306e+10 inf = 9.660e+06 (26)
3630: obj = 1.492672755e+10 inf = 9.648e+06 (26)
3661: obj = 1.492229776e+10 inf = 9.645e+06 (26)
3692: obj = 1.491622536e+10 inf = 9.642e+06 (26)
3723: obj = 1.491335026e+10 inf = 9.640e+06 (26)
3755: obj = 1.490590944e+10 inf = 9.635e+06 (26)
3787: obj = 1.490177865e+10 inf = 9.633e+06 (26)
3819: obj = 1.489567633e+10 inf = 9.629e+06 (26)
3851: obj = 1.489310003e+10 inf = 9.627e+06 (26)
3883: obj = 1.488973149e+10 inf = 9.625e+06 (26)
3915: obj = 1.488278316e+10 inf = 9.621e+06 (26)
3947: obj = 1.487922129e+10 inf = 9.619e+06 (26)
3979: obj = 1.487604531e+10 inf = 9.617e+06 (26)
4011: obj = 1.487291232e+10 inf = 9.615e+06 (26)
4042: obj = 1.487029686e+10 inf = 9.613e+06 (26)
4074: obj = 1.486519279e+10 inf = 9.610e+06 (26)
4106: obj = 1.485946178e+10 inf = 9.607e+06 (26)
4138: obj = 1.485462296e+10 inf = 9.605e+06 (26)
4170: obj = 1.485129508e+10 inf = 9.603e+06 (26)
4202: obj = 1.484494763e+10 inf = 9.600e+06 (26)
4234: obj = 1.483853159e+10 inf = 9.596e+06 (26)
4266: obj = 1.483612810e+10 inf = 9.594e+06 (26)
4298: obj = 1.481393306e+10 inf = 9.583e+06 (26)
4330: obj = 1.470925261e+10 inf = 9.526e+06 (26)
4362: obj = 1.468979973e+10 inf = 9.512e+06 (26)
4394: obj = 1.467677370e+10 inf = 9.504e+06 (26)
4425: obj = 1.456440642e+10 inf = 9.422e+06 (25)
4456: obj = 1.451742009e+10 inf = 9.386e+06 (25)
4486: obj = 1.438721456e+10 inf = 9.294e+06 (25) 1
4517: obj = 1.426154309e+10 inf = 9.215e+06 (25)
4548: obj = 1.407319499e+10 inf = 9.083e+06 (25)
4580: obj = 1.386109616e+10 inf = 8.938e+06 (25)
4611: obj = 1.379619674e+10 inf = 8.869e+06 (25)
4642: obj = 1.365333133e+10 inf = 8.774e+06 (25)
4673: obj = 1.355410775e+10 inf = 8.704e+06 (25)
4704: obj = 1.342318434e+10 inf = 8.619e+06 (25)
4736: obj = 1.325853336e+10 inf = 8.503e+06 (25)
4768: obj = 1.309370148e+10 inf = 8.387e+06 (25)
4800: obj = 1.283895208e+10 inf = 8.234e+06 (25)
4832: obj = 1.259028506e+10 inf = 8.076e+06 (25)
4863: obj = 1.237228791e+10 inf = 7.928e+06 (25) 1
4895: obj = 1.213974143e+10 inf = 7.781e+06 (25)
4927: obj = 1.197042825e+10 inf = 7.663e+06 (25)
4959: obj = 1.173675445e+10 inf = 7.507e+06 (25)
4991: obj = 1.159239254e+10 inf = 7.421e+06 (25)
5023: obj = 1.151232931e+10 inf = 7.369e+06 (25)
5055: obj = 1.140577730e+10 inf = 7.303e+06 (25)
5087: obj = 1.137718528e+10 inf = 7.286e+06 (25)
5119: obj = 1.134062145e+10 inf = 7.263e+06 (25)
5151: obj = 1.123588688e+10 inf = 7.208e+06 (25)
5182: obj = 1.114914264e+10 inf = 7.152e+06 (25)
5213: obj = 1.108798980e+10 inf = 7.091e+06 (25)
5245: obj = 1.100350520e+10 inf = 7.039e+06 (25)
5277: obj = 1.088741161e+10 inf = 6.968e+06 (25)
5308: obj = 1.082872140e+10 inf = 6.936e+06 (25) 1
5339: obj = 1.074086710e+10 inf = 6.887e+06 (25)
5371: obj = 1.061674757e+10 inf = 6.814e+06 (25)
5403: obj = 1.051296636e+10 inf = 6.754e+06 (25)
5435: obj = 1.044053359e+10 inf = 6.672e+06 (25)
5466: obj = 1.034557874e+10 inf = 6.592e+06 (25)
5498: obj = 1.019202008e+10 inf = 6.505e+06 (25)
5529: obj = 1.007278722e+10 inf = 6.429e+06 (25)
5561: obj = 9.865810561e+09 inf = 6.301e+06 (25)
5593: obj = 9.771688309e+09 inf = 6.246e+06 (25)
5625: obj = 9.651382266e+09 inf = 6.181e+06 (25)
5657: obj = 9.393434960e+09 inf = 6.065e+06 (25)
5689: obj = 9.186670348e+09 inf = 5.953e+06 (25)
5721: obj = 9.001480441e+09 inf = 5.844e+06 (25)
5752: obj = 8.650462196e+09 inf = 5.588e+06 (25) 1
5784: obj = 8.506589287e+09 inf = 5.513e+06 (25)
5816: obj = 8.395249244e+09 inf = 5.456e+06 (25)
5848: obj = 8.284364833e+09 inf = 5.389e+06 (25)
5880: obj = 8.063922111e+09 inf = 5.243e+06 (24)
5911: obj = 7.997674398e+09 inf = 5.202e+06 (24)
5943: obj = 7.856368374e+09 inf = 5.101e+06 (24)
5974: obj = 7.752070517e+09 inf = 5.030e+06 (24)
6006: obj = 7.584518784e+09 inf = 4.904e+06 (23)
6038: obj = 7.487943822e+09 inf = 4.833e+06 (23)
6070: obj = 7.395302679e+09 inf = 4.766e+06 (23)
6102: obj = 7.259061483e+09 inf = 4.671e+06 (23)
6133: obj = 7.136038865e+09 inf = 4.583e+06 (23) 1
6165: obj = 7.048262669e+09 inf = 4.522e+06 (23)
6197: obj = 6.985185116e+09 inf = 4.473e+06 (23)
6229: obj = 6.818826570e+09 inf = 4.355e+06 (23)
6261: obj = 6.565943675e+09 inf = 4.179e+06 (23)
6293: obj = 6.379592596e+09 inf = 4.052e+06 (23)
6325: obj = 6.284564352e+09 inf = 3.985e+06 (23)
6356: obj = 5.998197401e+09 inf = 3.769e+06 (22)
6388: obj = 5.901928752e+09 inf = 3.708e+06 (22)
6420: obj = 5.626741376e+09 inf = 3.543e+06 (22)
6452: obj = 5.458912175e+09 inf = 3.422e+06 (22)
6483: obj = 5.310128669e+09 inf = 3.319e+06 (22) 1
6515: obj = 5.097312619e+09 inf = 3.176e+06 (22)
6547: obj = 4.972581339e+09 inf = 3.099e+06 (22)
6579: obj = 4.920909748e+09 inf = 3.060e+06 (22)
6611: obj = 4.870342177e+09 inf = 3.023e+06 (22)
6643: obj = 4.826709981e+09 inf = 2.989e+06 (22)
6676: obj = 4.782928057e+09 inf = 2.960e+06 (22)
6709: obj = 4.781390352e+09 inf = 2.959e+06 (22)
6742: obj = 4.780078894e+09 inf = 2.958e+06 (22)
6775: obj = 4.778727933e+09 inf = 2.957e+06 (22)
6808: obj = 4.777135566e+09 inf = 2.956e+06 (22)
6841: obj = 4.775452116e+09 inf = 2.955e+06 (22)
6874: obj = 4.774941049e+09 inf = 2.954e+06 (22)
6907: obj = 4.774381749e+09 inf = 2.954e+06 (22)
6940: obj = 4.773826282e+09 inf = 2.954e+06 (22)
6973: obj = 4.773281823e+09 inf = 2.953e+06 (22)
7006: obj = 4.772883234e+09 inf = 2.953e+06 (22)
7039: obj = 4.772263195e+09 inf = 2.953e+06 (22)
7072: obj = 4.771580581e+09 inf = 2.952e+06 (22)
7105: obj = 4.763796923e+09 inf = 2.947e+06 (22)
7137: obj = 4.759918227e+09 inf = 2.945e+06 (22)
7169: obj = 4.756312332e+09 inf = 2.943e+06 (22)
7202: obj = 4.747757410e+09 inf = 2.937e+06 (22)
7235: obj = 4.740702877e+09 inf = 2.932e+06 (21)
7268: obj = 4.737113370e+09 inf = 2.929e+06 (19)
7301: obj = 4.732461570e+09 inf = 2.926e+06 (19)
7334: obj = 4.728492024e+09 inf = 2.924e+06 (18)
7366: obj = 4.721178088e+09 inf = 2.919e+06 (18) 1
7399: obj = 4.584438507e+09 inf = 2.859e+06 (18)
7432: obj = 4.559660021e+09 inf = 2.839e+06 (18)
7464: obj = 4.497455012e+09 inf = 2.790e+06 (17)
7495: obj = 4.475411844e+09 inf = 2.772e+06 (17)
7527: obj = 4.417138603e+09 inf = 2.736e+06 (17)
7561: obj = 4.416825924e+09 inf = 2.736e+06 (17)
7595: obj = 4.416370492e+09 inf = 2.736e+06 (17)
7629: obj = 4.415979065e+09 inf = 2.736e+06 (17)
7663: obj = 4.415640715e+09 inf = 2.735e+06 (17)
7697: obj = 4.414914869e+09 inf = 2.735e+06 (17)
7731: obj = 4.414471363e+09 inf = 2.735e+06 (17)
7765: obj = 4.413936268e+09 inf = 2.734e+06 (17)
7799: obj = 4.413482525e+09 inf = 2.734e+06 (17)
7833: obj = 4.413128473e+09 inf = 2.734e+06 (17)
7866: obj = 4.412716713e+09 inf = 2.733e+06 (17)
7900: obj = 4.412298160e+09 inf = 2.733e+06 (17)
7933: obj = 4.360845396e+09 inf = 2.697e+06 (17)
7966: obj = 4.341067395e+09 inf = 2.683e+06 (17)
7999: obj = 4.326352982e+09 inf = 2.672e+06 (17)
8031: obj = 4.315100210e+09 inf = 2.663e+06 (17)
8064: obj = 4.305741394e+09 inf = 2.657e+06 (17)
8097: obj = 4.294581924e+09 inf = 2.649e+06 (17)
8130: obj = 4.285619063e+09 inf = 2.642e+06 (17)
8162: obj = 4.262736893e+09 inf = 2.628e+06 (17) 1
8194: obj = 4.252583052e+09 inf = 2.622e+06 (17)
8227: obj = 4.237680749e+09 inf = 2.611e+06 (17)
8261: obj = 4.214955987e+09 inf = 2.596e+06 (17)
8294: obj = 4.198562274e+09 inf = 2.584e+06 (17)
8328: obj = 4.184660836e+09 inf = 2.573e+06 (17)
8361: obj = 4.170300575e+09 inf = 2.564e+06 (17)
8395: obj = 4.149072323e+09 inf = 2.547e+06 (17)
8429: obj = 4.131342330e+09 inf = 2.533e+06 (17)
8463: obj = 4.122339396e+09 inf = 2.524e+06 (17)
8497: obj = 4.115944793e+09 inf = 2.519e+06 (17)
8531: obj = 4.110257633e+09 inf = 2.515e+06 (17)
8565: obj = 4.087262044e+09 inf = 2.501e+06 (17)
8599: obj = 4.074818708e+09 inf = 2.492e+06 (17)
8634: obj = 4.061812116e+09 inf = 2.482e+06 (17)
8668: obj = 4.051064161e+09 inf = 2.474e+06 (17)
8702: obj = 4.032650849e+09 inf = 2.463e+06 (17)
8737: obj = 4.017682089e+09 inf = 2.453e+06 (17)
8771: obj = 3.998144457e+09 inf = 2.440e+06 (17)
8806: obj = 3.983288547e+09 inf = 2.429e+06 (17)
8841: obj = 3.965463638e+09 inf = 2.416e+06 (17)
8876: obj = 3.957549177e+09 inf = 2.411e+06 (17)
8911: obj = 3.944504391e+09 inf = 2.402e+06 (17)
8946: obj = 3.933188100e+09 inf = 2.393e+06 (17)
8981: obj = 3.921895865e+09 inf = 2.384e+06 (17)
9015: obj = 3.893440114e+09 inf = 2.368e+06 (17)
9049: obj = 3.883308984e+09 inf = 2.361e+06 (17)
9082: obj = 3.849594907e+09 inf = 2.341e+06 (16)
9116: obj = 3.830482645e+09 inf = 2.329e+06 (16)
9150: obj = 3.807024439e+09 inf = 2.316e+06 (16)
9183: obj = 3.792455144e+09 inf = 2.306e+06 (16) 1
9217: obj = 3.775797132e+09 inf = 2.295e+06 (15)
9252: obj = 3.764735661e+09 inf = 2.287e+06 (15)
9287: obj = 3.734611037e+09 inf = 2.266e+06 (15)
9322: obj = 3.722896260e+09 inf = 2.258e+06 (15)
9357: obj = 3.701584245e+09 inf = 2.243e+06 (15)
9392: obj = 3.684285186e+09 inf = 2.230e+06 (15)
9427: obj = 3.663781082e+09 inf = 2.217e+06 (15)
9462: obj = 3.634095098e+09 inf = 2.200e+06 (15)
9497: obj = 3.621677600e+09 inf = 2.191e+06 (15)
9532: obj = 3.602005794e+09 inf = 2.178e+06 (15)
9567: obj = 3.584650487e+09 inf = 2.165e+06 (15)
9601: obj = 3.552315597e+09 inf = 2.145e+06 (15)
9636: obj = 3.436832421e+09 inf = 2.057e+06 (15)
9671: obj = 3.408590744e+09 inf = 2.037e+06 (15)
9706: obj = 3.383787553e+09 inf = 2.023e+06 (15)
9741: obj = 3.359267547e+09 inf = 2.007e+06 (15)
9776: obj = 3.253813625e+09 inf = 1.948e+06 (15)
9811: obj = 3.191499097e+09 inf = 1.907e+06 (15)
9846: obj = 3.108046715e+09 inf = 1.855e+06 (14)
9881: obj = 3.097404983e+09 inf = 1.849e+06 (14)
9917: obj = 3.060261071e+09 inf = 1.829e+06 (14)
9953: obj = 3.035928983e+09 inf = 1.782e+06 (14)
9988: obj = 3.012678288e+09 inf = 1.755e+06 (13) 1
10023: obj = 3.010996592e+09 inf = 1.754e+06 (13)
10057: obj = 3.008410609e+09 inf = 1.752e+06 (13)
10091: obj = 3.007396621e+09 inf = 1.752e+06 (13)
10126: obj = 3.006017436e+09 inf = 1.751e+06 (13)
10162: obj = 3.003382907e+09 inf = 1.749e+06 (13)
10198: obj = 3.001459964e+09 inf = 1.748e+06 (13)
10233: obj = 2.999268467e+09 inf = 1.746e+06 (13)
10268: obj = 2.997545851e+09 inf = 1.745e+06 (13)
10303: obj = 2.974018828e+09 inf = 1.732e+06 (13)
10338: obj = 2.921550350e+09 inf = 1.699e+06 (13)
10373: obj = 2.879722365e+09 inf = 1.673e+06 (12)
10408: obj = 2.858423028e+09 inf = 1.660e+06 (11)
10443: obj = 2.817687636e+09 inf = 1.636e+06 (11)
10478: obj = 2.710526856e+09 inf = 1.574e+06 (10)
10513: obj = 2.558973644e+09 inf = 1.481e+06 (9) 1
10548: obj = 2.382183324e+09 inf = 1.382e+06 (8)
10581: obj = 2.319429365e+09 inf = 1.350e+06 (8)
10615: obj = 2.090948846e+09 inf = 1.193e+06 (8)
10648: obj = 1.863647355e+09 inf = 1.031e+06 (8)
10684: obj = 1.707183422e+09 inf = 9.196e+05 (8)