Participant: MA3056

Time Zone: America/Chicago

Messages sent today (Nov 08, 2026): move_more: 1 Total: 1

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Sep 24, 2026 10:15:00 CDT
Epoch Time: 1790262900
Created: 2026-09-24 10:15:44 CDT
Fitbit data rows: 4

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Sep 24, 2026 10:00:00 CDT
Epoch Time: 1790262000
Created: 2026-09-24 10:00:49 CDT
Fitbit data rows: 3

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Sep 24, 2026 09:45:00 CDT
Epoch Time: 1790261100
Created: 2026-09-24 09:45:20 CDT
Fitbit data rows: 3

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Sep 24, 2026 09:30:00 CDT
Epoch Time: 1790260200
Created: 2026-09-24 09:30:30 CDT
Fitbit data rows: 3

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Sep 24, 2026 09:15:00 CDT
Epoch Time: 1790259300
Created: 2026-09-24 09:16:15 CDT
Fitbit data rows: 3

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Sep 24, 2026 09:00:00 CDT
Epoch Time: 1790258400
Created: 2026-09-24 09:01:18 CDT
Fitbit data rows: 2

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Sep 23, 2026 20:45:00 CDT
Epoch Time: 1790214300
Created: 2026-09-23 20:45:26 CDT
Fitbit data rows: 11
Script Error 20:45:26
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: 0xfb10e386 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: 0xfb10e386 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/MA3056_measurements_2026-09-23.csv 48 3 2>&1
Error created: 2026-09-23 20:45:26 CDT

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Sep 23, 2026 20:30:00 CDT
Epoch Time: 1790213400
Created: 2026-09-23 20:30:27 CDT
Fitbit data rows: 10

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Sep 23, 2026 20:15:00 CDT
Epoch Time: 1790212500
Created: 2026-09-23 20:15:31 CDT
Fitbit data rows: 10

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Sep 23, 2026 20:00:00 CDT
Epoch Time: 1790211600
Created: 2026-09-23 20:00:31 CDT
Fitbit data rows: 10

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Sep 23, 2026 19:45:00 CDT
Epoch Time: 1790210700
Created: 2026-09-23 19:45:43 CDT
Fitbit data rows: 10

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Sep 23, 2026 19:30:00 CDT
Epoch Time: 1790209800
Created: 2026-09-23 19:30:44 CDT
Fitbit data rows: 10

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Sep 23, 2026 19:15:00 CDT
Epoch Time: 1790208900
Created: 2026-09-23 19:15:46 CDT
Fitbit data rows: 10

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Sep 23, 2026 19:00:00 CDT
Epoch Time: 1790208000
Created: 2026-09-23 19:00:45 CDT
Fitbit data rows: 10

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Sep 23, 2026 18:45:00 CDT
Epoch Time: 1790207100
Created: 2026-09-23 18:45:54 CDT
Fitbit data rows: 10

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Sep 23, 2026 18:30:00 CDT
Epoch Time: 1790206200
Created: 2026-09-23 18:30:54 CDT
Fitbit data rows: 7

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Sep 23, 2026 18:15:00 CDT
Epoch Time: 1790205300
Created: 2026-09-23 18:15:56 CDT
Fitbit data rows: 7

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Sep 23, 2026 18:00:00 CDT
Epoch Time: 1790204400
Created: 2026-09-23 18:00:56 CDT
Fitbit data rows: 7

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Sep 23, 2026 17:45:00 CDT
Epoch Time: 1790203500
Created: 2026-09-23 17:46:02 CDT
Fitbit data rows: 7

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Sep 23, 2026 17:30:00 CDT
Epoch Time: 1790202600
Created: 2026-09-23 17:31:02 CDT
Fitbit data rows: 7

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Sep 23, 2026 17:15:00 CDT
Epoch Time: 1790201700
Created: 2026-09-23 17:16:02 CDT
Fitbit data rows: 7

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Sep 23, 2026 17:00:00 CDT
Epoch Time: 1790200800
Created: 2026-09-23 17:01:03 CDT
Fitbit data rows: 7

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Sep 23, 2026 16:45:00 CDT
Epoch Time: 1790199900
Created: 2026-09-23 16:46:03 CDT
Fitbit data rows: 7

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Sep 23, 2026 16:30:00 CDT
Epoch Time: 1790199000
Created: 2026-09-23 16:31:06 CDT
Fitbit data rows: 7

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Sep 23, 2026 16:15:00 CDT
Epoch Time: 1790198100
Created: 2026-09-23 16:16:06 CDT
Fitbit data rows: 7
Version: 26.06.22.15.30 on SFR-MATCH-AIM