Participant: MA3071

Time Zone: America/New_York

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Oct 17, 2026 07:00:00 EDT
Epoch Time: 1792234800
Created: 2026-10-17 07:00:17 EDT
Fitbit data rows: 0

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Oct 17, 2026 06:45:00 EDT
Epoch Time: 1792233900
Created: 2026-10-17 06:45:09 EDT
Fitbit data rows: 0

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Oct 17, 2026 06:30:00 EDT
Epoch Time: 1792233000
Created: 2026-10-17 06:30:08 EDT
Fitbit data rows: 0

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Oct 17, 2026 06:15:00 EDT
Epoch Time: 1792232100
Created: 2026-10-17 06:15:07 EDT
Fitbit data rows: 0

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Oct 17, 2026 06:00:00 EDT
Epoch Time: 1792231200
Created: 2026-10-17 06:00:06 EDT
Fitbit data rows: 0

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Oct 17, 2026 05:45:00 EDT
Epoch Time: 1792230300
Created: 2026-10-17 05:45:05 EDT
Fitbit data rows: 0

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Oct 16, 2026 17:30:00 EDT
Epoch Time: 1792186200
Created: 2026-10-16 17:31:11 EDT
Fitbit data rows: 46
Script Error 17:31:11
Category: script error
Description: Set parameter WLSAccessID Set parameter WLSSecret Set parameter LicenseID to value 2873398 Academic license 2873398 - for non-commercial use only - registered to el___@umich.edu Gurobi Optimizer version 12.0.3 build v12.0.3rc0 (linux64 - "Ubuntu 24.04.2 LTS") CPU model: Intel(R) Xeon(R) Platinum 8358 CPU @ 2.60GHz, instruction set [SSE2|AVX|AVX2|AVX512] Thread count: 4 physical cores, 4 logical processors, using up to 4 threads Academic license 2873398 - for non-commercial use only - registered to el___@umich.edu Optimize a model with 2266 rows, 2265 columns and 3477 nonzeros Model fingerprint: 0x5a9d433f Variable types: 1053 continuous, 1212 integer (1212 binary) Coefficient statistics: Matrix range [1e+00, 2e+05] Objective range [1e-03, 1e-03] Bounds range [1e+00, 2e+05] RHS range [1e+00, 2e+05] Found heuristic solution: objective -0.0000000 Presolve removed 2266 rows and 2265 columns Presolve time: 0.00s Presolve: All rows and columns removed Explored 0 nodes (0 simplex iterations) in 0.00 seconds (0.00 work units) Thread count was 1 (of 4 available processors) Solution count 1: -0 No other solutions better than -0 Optimal solution found (tolerance 1.00e-04) Best objective -0.000000000000e+00, best bound -0.000000000000e+00, gap 0.0000% Gurobi Optimizer version 12.0.3 build v12.0.3rc0 (linux64 - "Ubuntu 24.04.2 LTS") CPU model: Intel(R) Xeon(R) Platinum 8358 CPU @ 2.60GHz, instruction set [SSE2|AVX|AVX2|AVX512] Thread count: 4 physical cores, 4 logical processors, using up to 4 threads Academic license 2873398 - for non-commercial use only - registered to el___@umich.edu Optimize a model with 2266 rows, 2265 columns and 3477 nonzeros Model fingerprint: 0x5a9d433f Variable types: 1053 continuous, 1212 integer (1212 binary) Coefficient statistics: Matrix range [1e+00, 2e+05] Objective range [1e-03, 1e-03] Bounds range [1e+00, 2e+05] RHS range [1e+00, 2e+05] Presolve removed 2266 rows and 2265 columns Presolve time: 0.00s Presolve: All rows and columns removed Explored 0 nodes (0 simplex iterations) in 0.00 seconds (0.00 work units) Thread count was 1 (of 4 available processors) Solution count 1: -0 No other solutions better than -0 Optimal solution found (tolerance 1.00e-04) Best objective -0.000000000000e+00, best bound -0.000000000000e+00, gap 0.0000% Traceback (most recent call last): File "/home/deploy/matchaim-controller/controller_run.py", line 18, in <module> message_output = controller_fn(model_file_path, measurements_file_path, int(daily_iterations),int(group_numer)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/deploy/matchaim-controller/controller_func_2inp.py", line 368, in controller_fn message_output = [u1_sol[iteration],u2_sol[iteration],u3_sol[iteration],0] ~~~~~~^^^^^^^^^^^ KeyError: np.int64(53) Warning: environment still referenced so free is deferred (Continue to use WLS)
Command:
python3 /home/deploy/matchaim-controller/controller_run.py /home/deploy/matchaim-data/models/MAxxx.csv shared/measurement_files/MA3071_measurements_2026-10-16.csv 48 3 2>&1
Error created: 2026-10-16 17:31:11 EDT

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Oct 16, 2026 17:15:00 EDT
Epoch Time: 1792185300
Created: 2026-10-16 17:16:11 EDT
Fitbit data rows: 45

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Oct 16, 2026 17:00:00 EDT
Epoch Time: 1792184400
Created: 2026-10-16 17:01:11 EDT
Fitbit data rows: 44

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Oct 16, 2026 16:45:00 EDT
Epoch Time: 1792183500
Created: 2026-10-16 16:46:11 EDT
Fitbit data rows: 43

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Oct 16, 2026 16:30:00 EDT
Epoch Time: 1792182600
Created: 2026-10-16 16:31:17 EDT
Fitbit data rows: 42

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Oct 16, 2026 16:15:00 EDT
Epoch Time: 1792181700
Created: 2026-10-16 16:16:14 EDT
Fitbit data rows: 41

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Oct 16, 2026 16:00:00 EDT
Epoch Time: 1792180800
Created: 2026-10-16 16:01:14 EDT
Fitbit data rows: 40

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Oct 16, 2026 15:45:00 EDT
Epoch Time: 1792179900
Created: 2026-10-16 15:46:15 EDT
Fitbit data rows: 39

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Oct 16, 2026 15:30:00 EDT
Epoch Time: 1792179000
Created: 2026-10-16 15:31:16 EDT
Fitbit data rows: 38

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Oct 16, 2026 15:15:00 EDT
Epoch Time: 1792178100
Created: 2026-10-16 15:16:16 EDT
Fitbit data rows: 37

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Oct 16, 2026 15:00:00 EDT
Epoch Time: 1792177200
Created: 2026-10-16 15:01:17 EDT
Fitbit data rows: 36

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Oct 16, 2026 14:45:00 EDT
Epoch Time: 1792176300
Created: 2026-10-16 14:46:19 EDT
Fitbit data rows: 35

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Oct 16, 2026 14:30:00 EDT
Epoch Time: 1792175400
Created: 2026-10-16 14:31:29 EDT
Fitbit data rows: 34

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Oct 16, 2026 14:15:00 EDT
Epoch Time: 1792174500
Created: 2026-10-16 14:16:27 EDT
Fitbit data rows: 33

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Oct 16, 2026 14:00:00 EDT
Epoch Time: 1792173600
Created: 2026-10-16 14:01:35 EDT
Fitbit data rows: 32

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Oct 16, 2026 13:45:00 EDT
Epoch Time: 1792172700
Created: 2026-10-16 13:46:31 EDT
Fitbit data rows: 31

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Oct 16, 2026 13:30:00 EDT
Epoch Time: 1792171800
Created: 2026-10-16 13:31:28 EDT
Fitbit data rows: 30

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Oct 16, 2026 13:15:00 EDT
Epoch Time: 1792170900
Created: 2026-10-16 13:16:20 EDT
Fitbit data rows: 29

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Oct 16, 2026 13:00:00 EDT
Epoch Time: 1792170000
Created: 2026-10-16 13:01:32 EDT
Fitbit data rows: 28
Version: 26.06.22.15.30 on SFR-MATCH-AIM