Participant: MA3035

Time Zone: America/New_York

Messages sent today (Sep 09, 2026): move_more: 1 Total: 1

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Aug 29, 2026 09:30:00 EDT
Epoch Time: 1788010200
Created: 2026-08-29 09:30:07 EDT
Fitbit data rows: 7

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Aug 29, 2026 09:15:00 EDT
Epoch Time: 1788009300
Created: 2026-08-29 09:15:07 EDT
Fitbit data rows: 6

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Aug 29, 2026 09:00:00 EDT
Epoch Time: 1788008400
Created: 2026-08-29 09:00:06 EDT
Fitbit data rows: 5

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Aug 28, 2026 20:45:00 EDT
Epoch Time: 1787964300
Created: 2026-08-28 20:45:03 EDT
Fitbit data rows: 45
Script Error 20:45:03
Category: script error
Description: Set parameter WLSAccessID Set parameter WLSSecret Set parameter LicenseID to value 2722107 Academic license 2722107 - for non-commercial use only - registered to am___@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 2722107 - for non-commercial use only - registered to am___@umich.edu Optimize a model with 2266 rows, 2265 columns and 3477 nonzeros Model fingerprint: 0xf523b4f5 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 2722107 - for non-commercial use only - registered to am___@umich.edu Optimize a model with 2266 rows, 2265 columns and 3477 nonzeros Model fingerprint: 0xf523b4f5 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/MA3035_measurements_2026-08-28.csv 48 3 2>&1
Error created: 2026-08-28 20:45:03 EDT

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Aug 28, 2026 20:30:00 EDT
Epoch Time: 1787963400
Created: 2026-08-28 20:30:03 EDT
Fitbit data rows: 44

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Aug 28, 2026 20:15:00 EDT
Epoch Time: 1787962500
Created: 2026-08-28 20:15:03 EDT
Fitbit data rows: 43

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Aug 28, 2026 20:00:00 EDT
Epoch Time: 1787961600
Created: 2026-08-28 20:00:03 EDT
Fitbit data rows: 42

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Aug 28, 2026 19:45:00 EDT
Epoch Time: 1787960700
Created: 2026-08-28 19:45:03 EDT
Fitbit data rows: 41

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Aug 28, 2026 19:30:00 EDT
Epoch Time: 1787959800
Created: 2026-08-28 19:30:03 EDT
Fitbit data rows: 40

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Aug 28, 2026 19:15:00 EDT
Epoch Time: 1787958900
Created: 2026-08-28 19:15:04 EDT
Fitbit data rows: 39

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Aug 28, 2026 19:00:00 EDT
Epoch Time: 1787958000
Created: 2026-08-28 19:00:04 EDT
Fitbit data rows: 38

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Aug 28, 2026 18:45:00 EDT
Epoch Time: 1787957100
Created: 2026-08-28 18:45:05 EDT
Fitbit data rows: 37

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Aug 28, 2026 18:30:00 EDT
Epoch Time: 1787956200
Created: 2026-08-28 18:30:07 EDT
Fitbit data rows: 36

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Aug 28, 2026 18:15:00 EDT
Epoch Time: 1787955300
Created: 2026-08-28 18:15:06 EDT
Fitbit data rows: 34

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Aug 28, 2026 18:00:00 EDT
Epoch Time: 1787954400
Created: 2026-08-28 18:00:06 EDT
Fitbit data rows: 34

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Aug 28, 2026 17:45:00 EDT
Epoch Time: 1787953500
Created: 2026-08-28 17:45:08 EDT
Fitbit data rows: 34

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Aug 28, 2026 17:30:00 EDT
Epoch Time: 1787952600
Created: 2026-08-28 17:30:08 EDT
Fitbit data rows: 34

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Aug 28, 2026 17:15:00 EDT
Epoch Time: 1787951700
Created: 2026-08-28 17:15:08 EDT
Fitbit data rows: 33

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Aug 28, 2026 17:00:00 EDT
Epoch Time: 1787950800
Created: 2026-08-28 17:00:09 EDT
Fitbit data rows: 32

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Aug 28, 2026 16:45:00 EDT
Epoch Time: 1787949900
Created: 2026-08-28 16:45:10 EDT
Fitbit data rows: 31

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Aug 28, 2026 16:30:00 EDT
Epoch Time: 1787949000
Created: 2026-08-28 16:30:10 EDT
Fitbit data rows: 30

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Aug 28, 2026 16:15:00 EDT
Epoch Time: 1787948100
Created: 2026-08-28 16:15:09 EDT
Fitbit data rows: 29

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Aug 28, 2026 16:00:00 EDT
Epoch Time: 1787947200
Created: 2026-08-28 16:00:09 EDT
Fitbit data rows: 28

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Aug 28, 2026 15:45:00 EDT
Epoch Time: 1787946300
Created: 2026-08-28 15:45:11 EDT
Fitbit data rows: 27

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Aug 28, 2026 15:30:00 EDT
Epoch Time: 1787945400
Created: 2026-08-28 15:30:11 EDT
Fitbit data rows: 26
Version: 26.06.22.15.30 on SFR-MATCH-AIM