text:
benchmark scip timeout

kaibel
Benchmarking instance: kaibel
WARNING (W1002): Setting Var 'Vtotal[1,1]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,2]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,3]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,4]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,5]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,6]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,7]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,8]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
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the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,10]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,11]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,12]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,13]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,14]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,15]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,16]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,17]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,18]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,19]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,20]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,21]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,22]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,23]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,24]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[1,25]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,1]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,2]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,3]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,4]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,5]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,6]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,7]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,8]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,9]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,10]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,11]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,12]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,13]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,14]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,15]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,16]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,17]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,18]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,19]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,20]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,21]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,22]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,23]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,24]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[2,25]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,1]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,2]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,3]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,4]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,5]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,6]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,7]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,8]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,9]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,10]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,11]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,12]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,13]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,14]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,15]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,16]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,17]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,18]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,19]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,20]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,21]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,22]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,23]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,24]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[3,25]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,1]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,2]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,3]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,4]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,5]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,6]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,7]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,8]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,9]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,10]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,11]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,12]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,13]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,14]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,15]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,16]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,17]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,18]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,19]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,20]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,21]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,22]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,23]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,24]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Vtotal[4,25]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,1]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,2]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,3]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,4]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,5]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,6]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,7]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,8]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,9]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,10]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,11]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,12]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,13]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,14]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,15]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,16]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,17]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,18]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,19]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,20]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,21]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,22]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,23]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,24]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[1,25]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,1]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,2]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,3]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,4]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,5]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,6]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,7]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,8]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,9]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,10]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,11]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,12]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,13]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,14]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,15]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,16]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,17]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,18]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,19]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,20]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,21]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,22]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,23]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,24]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[2,25]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,1]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,2]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,3]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,4]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,5]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,6]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,7]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,8]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,9]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,10]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,11]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,12]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,13]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,14]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,15]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,16]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,17]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,18]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,19]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,20]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,21]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,22]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,23]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,24]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[3,25]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,1]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,2]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,3]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,4]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,5]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,6]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,7]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,8]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,9]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,10]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,11]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,12]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,13]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,14]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,15]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,16]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,17]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,18]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,19]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,20]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,21]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,22]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,23]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,24]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
WARNING (W1002): Setting Var 'Ltotal[4,25]' to a numeric value `1600` outside
the bounds (0, 1000.0).
    See also https://pyomo.readthedocs.io/en/stable/errors.html#w1002
Traceback (most recent call last):
  File "/local/scratch/a/peng372/github/gdplib/benchmark.py", line 109, in <module>
    benchmark(model, strategy, timelimit, result_dir)
  File "/local/scratch/a/peng372/github/gdplib/benchmark.py", line 39, in benchmark
    results = SolverFactory(subsolver).solve(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/opt/base/solvers.py", line 610, in solve
    _status = self._apply_solver()
              ^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/opt/solver/shellcmd.py", line 266, in _apply_solver
    self._rc, self._log = self._execute_command(self._command)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/opt/solver/shellcmd.py", line 334, in _execute_command
    results = subprocess.run(
              ^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 550, in run
    stdout, stderr = process.communicate(input, timeout=timeout)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 1209, in communicate
    stdout, stderr = self._communicate(input, endtime, timeout)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 2134, in _communicate
    self.wait(timeout=self._remaining_time(endtime))
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 1264, in wait
    return self._wait(timeout=timeout)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 2038, in _wait
    raise TimeoutExpired(self.args, timeout)
subprocess.TimeoutExpired: Command '['/local/scratch/a/peng372/opt/scip/scip', '/tmp/tmpti9wam02.pyomo', '-AMPL']' timed out after 605.9999855128117 seconds

stranded_gas
Benchmarking instance: stranded_gas
Traceback (most recent call last):
  File "/local/scratch/a/peng372/github/gdplib/benchmark.py", line 109, in <module>
    benchmark(model, strategy, timelimit, result_dir)
  File "/local/scratch/a/peng372/github/gdplib/benchmark.py", line 39, in benchmark
    results = SolverFactory(subsolver).solve(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/opt/base/solvers.py", line 610, in solve
    _status = self._apply_solver()
              ^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/opt/solver/shellcmd.py", line 266, in _apply_solver
    self._rc, self._log = self._execute_command(self._command)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/opt/solver/shellcmd.py", line 334, in _execute_command
    results = subprocess.run(
              ^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 550, in run
    stdout, stderr = process.communicate(input, timeout=timeout)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 1209, in communicate
    stdout, stderr = self._communicate(input, endtime, timeout)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 2134, in _communicate
    self.wait(timeout=self._remaining_time(endtime))
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 1264, in wait
    return self._wait(timeout=timeout)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/subprocess.py", line 2038, in _wait
    raise TimeoutExpired(self.args, timeout)
subprocess.TimeoutExpired: Command '['/local/scratch/a/peng372/opt/scip/scip', '/tmp/tmpdizcn0hu.pyomo', '-AMPL']' timed out after 605.9999831870664 seconds

After reinstalling SCIP via conda, the error disappeared.
Related issue: https://github.com/Pyomo/pyomo/issues/3064

Now, a ZeroDivisionError is reported with the hull reformulation.

Benchmarking strategy: gdp.hull
Traceback (most recent call last):
  File "/local/scratch/a/peng372/github/gdplib/benchmark.py", line 111, in <module>
    benchmark(model, strategy, timelimit, result_dir)
  File "/local/scratch/a/peng372/github/gdplib/benchmark.py", line 34, in benchmark
    TransformationFactory(strategy).apply_to(model)
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/core/base/transformation.py", line 77, in apply_to
    reverse_token = self._apply_to(model, **kwds)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/gdp/plugins/hull.py", line 245, in _apply_to
    self._apply_to_impl(instance, **kwds)
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/gdp/plugins/hull.py", line 272, in _apply_to_impl
    self._transform_disjunctionData(
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/gdp/plugins/hull.py", line 410, in _transform_disjunctionData
    self._transform_disjunct(
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/gdp/plugins/hull.py", line 594, in _transform_disjunct
    self._transform_block_components(
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/gdp/plugins/gdp_to_mip_transformation.py", line 298, in _transform_block_components
    handler(obj, disjunct, *args)
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/gdp/plugins/hull.py", line 687, in _transform_constraint
    h_0 = clone_without_expression_components(
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/gdp/util.py", line 101, in clone_without_expression_components
    return visitor.walk_expression(expr)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/core/expr/visitor.py", line 276, in walk_expression
    result = self._process_node(root, RECURSION_LIMIT)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/core/expr/visitor.py", line 359, in _process_node_general
    child_result = self._process_node(child, recursion_limit)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/core/expr/visitor.py", line 359, in _process_node_general
    child_result = self._process_node(child, recursion_limit)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/core/expr/visitor.py", line 359, in _process_node_general
    child_result = self._process_node(child, recursion_limit)
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  [Previous line repeated 5 more times]
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/core/expr/visitor.py", line 379, in _process_node_general
    return self.exitNode(node, data)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/local/scratch/a/peng372/anaconda3/lib/python3.11/site-packages/pyomo/core/expr/visitor.py", line 1063, in exitNode
    return node._apply_operation(data[1])
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "pyomo/core/expr/numeric_expr.pyx", line 1124, in pyomo.core.expr.numeric_expr.DivisionExpression._apply_operation
  File "pyomo/core/expr/numeric_expr.pyx", line 532, in pyomo.core.expr.numeric_expr.NumericValue.__rtruediv__
  File "pyomo/core/expr/numeric_expr.pyx", line 3538, in pyomo.core.expr.numeric_expr._register_new_div_handler
  File "pyomo/core/expr/numeric_expr.pyx", line 3134, in pyomo.core.expr.numeric_expr._div_native_param
ZeroDivisionError: float division by zero

The SCIP timeout issue was resolved.
Opened a new issue #44 related to the ZeroDivisionError in the Kaibel model.

repo: SECQUOIA/gdplib


text:
Project: Video Links

https://docs.google.com/spreadsheets/d/1GxSb5r1gQdazYn3uvGK8t_BzhhOPfTtlzkaojyAVRM0/edit?userstoinvite=rmenon77%40gmail.com#gid=429394939

Hello team! I spaced getting a checkin from each of you on where you ended up with your work checking for video links. Can you comment below or in the doc? Thanks!
@aka5h4u @ThisIsMarkJones @Quratulaintariq4 @WorkNetSalesforce @rakshasanganee

Hi @barbarachristensen. I checked and added links for the Volunteers for Salesforce playlist assigned to me.

Hi @barbarachristensen
I've reviewed the "TDTM Overview script" - https://github.com/SFDO-Community-Sprints/NPSP-Videography/projects/4#card-62201769
Also, I helped in Video link review: https://docs.google.com/spreadsheets/d/1GxSb5r1gQdazYn3uvGK8t_BzhhOPfTtlzkaojyAVRM0/edit#gid=429394939

source: gharchive/issue

repo: SFDO-Community-Sprints/NPSP-Videography

license_type: permissive

license_source: github-api


text:
Verbose mode for flow info

Critical Changes
Changes

cci flow info will now output all flow options defined.

Issues Closed

W-8887744

@bethbrains please update the suggested release note in the PR description since we ended up not exposing the --verbose flag

Closes #2835

source: gharchive/pull-request

authors: bethbrains davisagli jstvz

repo: SFDO-Tooling/CumulusCI


text:
"Downloads" direct link support

Hello,
First off great addon!
I'd like to suggest an important feature, torrents are great in the addon, but what's missing is direct download links support, these are called "Downloads" in real debrid, and you can find link on sites like rlsbb and the links are usually rapidgator that work. These are important for content like reality tv as they are released a lot faster then torrents.
Would be awesome if you can support these, thanks!

Hello @oathzed,
Thank you for your message about adding download links. Right now, on the Stremio platform, downloaded content is being collected and shared, but it's not organized properly.
Although the content is available, it's not shown in a sorted order, which can confuse users because download items are mixed into the Movies catalog.
I will update the code to create a separate catalog for downloads, making it easier to access them.
Thanks again for your suggestion.

@oathzed,
I do not have a dataset or dummy data to test downloads items before adding URLs to the downloads section.
It would be great if you could provide a sample dataset or sources from which I could collect data and test it locally to see what happens.
You can email me at the following temporary email address: 23d0ea02-b248-4824-bf2c-d4c26bafedba@simplelogin.com

Hello @oathzed,
Thank you for your message about adding download links. Right now, on the Stremio platform, downloaded content is being collected and shared, but it's not organized properly.
Although the content is available, it's not shown in a sorted order, which can confuse users because download items are mixed into the Movies catalog.
I will update the code to create a separate catalog for downloads, making it easier to access them.
Thanks again for your suggestion.

Thank you for considering it, yes it's important to have a separate category and display it sorted as most recently added at the start.

@oathzed,
I do not have a dataset or dummy data to test downloads items before adding URLs to the downloads section.
It would be great if you could provide a sample dataset or sources from which I could collect data and test it locally to see what happens.
You can email me at the following temporary email address: 23d0ea02-b248-4824-bf2c-d4c26bafedba@simplelogin.com

I have emailed you, thank you

Hello @oathzed,
Thank you for your message about adding download links. Right now, on the Stremio platform, downloaded content is being collected and shared, but it's not organized properly.
Although the content is available, it's not shown in a sorted order, which can confuse users because download items are mixed into the Movies catalog.
I will update the code to create a separate catalog for downloads, making it easier to access them.
Thanks again for your suggestion.

Thank you for considering it, yes it's important to have a separate category and display it sorted as most recently added at the start.

Okay, thank you so much for your feedback. I will get back to you once I have made the necessary changes. And yes, I did receive your email about the dataset for testing. Thank you so much.

I appreciate it, thank you!

Hi There, I have released v1.0.4 along with several new features and bug fixes. Now the Torrents downloads and Downloads folders are separate from each other and separate catalogs.
You need to uninstall and reinstall the addon again with the new version, and it will reflect the changes instantly.

Hi There, I have released v1.0.4 along with several new features and bug fixes. Now the Torrents downloads and Downloads folders are separate from each other and separate catalogs.
You need to uninstall and reinstall the addon again with the new version, and it will reflect the changes instantly.

Thank you so much, you're awesome. I will check it out

Works great, well done! Closing this issue.

authors: SHSharkar oathzed

repo: SHSharkar/Stremio-Real-Debrid-Addon

license: MIT


text:
rename and display

CITResewn-0.8.1.jar
I noticed 1 moment that this mod does not show renamed items that use ~ (tilde)
Examples:
NeadApTar~
SilinGo~
etc

In my case, these are totems

I'll need the pack and your logs

https://www.curseforge.com/minecraft/texture-packs/subshield-totems/files - any of the [nb] files.

and your logs

and where can I find them? since I am still very weak in these matters

Close completely and launch the game.
If the pack is not enabled, enable it.
Go to the game's folder and upload .minecraft/logs/latest.log

[23:01:17] [Worker-Main-10/ERROR]: Non [a-z0-9/._-] character in path of location: minecraft:optifine/cit/totems/6sixchazek6six[nb]/6sixchazek6six[nb]totem.properties
etc
[a-z0-9/.-]     =(

The [ and ] in the names of the folders/files are breaking pack format.
More info available here:
https://citresewn.readthedocs.io/usage/help/
https://citresewn.readthedocs.io/usage/config/

Question. If 1 resource pack contains both / optifine / and / citresewn / folders, will this resource pack conflict?

If it has the duplicate properties it might, but just having both optifine and citresewn should work fine.

Thank you.

repo: SHsuperCM/CITResewn


text:
The implementation of ReLU in YuGCN

In the current implementation ReLU is called as a function after each convolution layer.
The guided back-propagation tutorial I can find online are applying the hook function when detecting the ReLU function implemented as a module.
I am not sure what would be the right way to modify YuGCN to make this process easier. cc @ltetrel

Most of the tutorial I found uses AlexNet as the pretrain model so I would consider refactor the code closer to it:
https://github.com/pytorch/vision/blob/main/torchvision/models/alexnet.py
We might even be able to reuse some of the existing guided backprop modules

Sorry I am not sure to follow ? Instead of having an independent hook function, you would like to integrate it directly as a custom relu layer ?

I actually don't know if I have the right idea to describe the problem correctly. I am not integrating the hook function.
In all pytorch based code I can find, they look for a relu module in the model and apply the hook function. In the current implementation of YuGCN, it cannot find the relu module because it's simply not there

I found this tutorial using captum to visualise GCN built with torch_geometric: https://colab.research.google.com/drive/1fLJbFPz0yMCQg81DdCP5I8jXw9LoggKO?usp=sharing
I am going to try it out

It is hard to find online documentation on this type of visualization methods, I always hit stuff about digital marketing...
But if you have an explanation I would be happy to hear it :)

authors: htwangtw ltetrel


text:
Enhancements for holo processing post 2.0

This PR fixes #145 by adding a scaled 'z' column to the particle stats data, rather than simply the 'z-index'

Hi @animmosmith Looks like there is notebook that needs numpy importing, which is why the test are failing. Let me know if you want me to help/fix 😉

If you’ve time that would be great! Thank you!
On 16 Sep 2024, at 20:27, Emlyn Davies @.***> wrote:
Hi @animmosmithhttps://github.com/animmosmith Looks like there is notebook that needs numpy importing, which is why the tests are failing. Let me know if you want me to help/fix 😉
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Morning @animmosmith
I think I have done what was intended here, and also updated a few relevant parts of the documentation. Feel free to squash and merge if you are happy.

Slightly confusing why that pipeline-holo notebook failed only for this PR, since it seems to have been a bug from a while ago. At least it is fixed now

authors: animmosmith emlynjdavies

repo: SINTEF/pyopia


text:
🛑 DNS2.electro is down

In b56b8aa, DNS2.electro (ns2.elteam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: DNS2.electro is back up in e2d029b after 12 minutes.

repo: SIRMaxis/uptime-robot


text:
🛑 Website is down

In f81ad1f, Website (ELTeam.ir) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Website is back up in 654e6be after 25 minutes.


text:
Verbesserungsvorschlag: Animation der Flussrichtung in Abhängigkeit des Wertes Ändern

Ja, ich weiss, dass es den Request schon gab. (#15)
(Kurzfassung: Ich fände das ein sinnvolles Feature.)
Du hast da geschrieben, dass Du das nicht sinnvoll findest, außer bei der Batterie, weil sonst ja nur ein Strom fließen oder eben nicht fließen würde. Das stimmt allerdings nur bedingt. Ich habe hier:
PV-Hybridwechselrichter (zwei PV-Stränge, eigene Batterie). Den kriege ich T-förmig sinnvoll abgebildet:
PV -> Wechselrichter -> Haus <=> Netz
        |    ^
        v    |
       Batterie

Wobei <=> für zwei animierte Linien steht für die beiden Richtungen.
Das Problem ist:  Ich habe noch zwei weitere PV-Stränge an einem MPPT, der hängt an einem 48V Strang, an dem auch Batterie (die zweite) und ein Wechselrichter (eigentlich je einer pro Phase) hängt. Und der Wechselrichter wiederum kann sowohl ins Haus einspeisen als auch Strom von dort entnehmen (zum Laden der zweiten Batterie), falls der Hybridwechselrichter mehr Strom erzeugt (und nicht in die bereits volle Batterie einspeisen kann) als das Haus verbraucht. Nur diesen Anlagenteil würde ich dann also wohl so abbilden:
PV -> 48V <=> Batterie
      | ^
      v |
  Wechselrichter  <=> Haus <=> Netz

Klar kann ich das über jeweils parallele Linien abbilden. Das wird aber relativ unübersichtlich meiner Meinung nach und wäre mit einzelnen Linien, die jeweils in beide Richtungen animiert wären, irgendwie eleganter.
Um ehrlich zu sein, hatte ich schon geschaut, ob ich nicht einen Pull-Request hin bekomme, um das zu implementieren, aber ehrlich gesagt verstehe ich nicht, wie Du die Animationen erzeugst (und diverse andere Anteile des Codes - JavaScript/TypeScript ist eindeutig nicht meine Stärke).

Danke für die Rückmeldung. Solche Geräte waren mir bisher nicht bekannt.
Sobald ich alle aktuellen Dinge eingebaut habe, die aktuell auf der Liste stehen, kann ich mir um die rückwärts laufenden Animationen kümmern.
Jetzt sind es ja schon 2 Anfragen.

Seit version v0.0.2-alpha.8 und aktiviertem Switch "bei neg. Wert rückwärts animieren",  läuft beim 0 Wert eine Animation in rückwärtiger Richtung. Bei mehreren Links probiert.

Habe ich eben getestet. Das tritt bei mir nicht auf.
Sind die Thresholds richtig eingestellt?

Thresholds stehen alle auf 0. Aber davon abgesehen habe ich den Zweck der Thresholds noch nicht erfasst. "Unterdrücken von Werten, die 0 anzeigen, aber unter der Haube ev. 0,1 ergeben, was diesen Effekt auslösst?

Es ist überall noch "Animation depency" gesetzt. Thresholds auf 0.9 gesetzt. Jetzt scheint es zu tun.

Das sollte der Datenpunkt ja anzeigen, ob der Wert 0 oder 0.9 (0.x) ist.
Die Thresholds sind genau für diesen Zweck da. Ein Standby Verbraucher von 3Watt möchte man ab und an nicht als "Verbraucher" sehen. Dann kann man dies auf 4 Watt stellen.

Hallo,
konntet ihr die aktuelle Version testen, um zu verifizieren, ob es nun wunschgemäß eingebaut ist? Wenn ja, würde ich Euch bitten, das Issue zu schließen ;)

Sieht für mich korrekt aus. Herzlichen Dank.

authors: SKB-CGN erwini incase


text:
제발 도와주세요 개발환경 문제 [BUG]

🐛 Bug

No module named 'kobert'
No module named 'glounnlp'
colab The code is not running after the update.
코랩 업데이트 이후 코드 실행이 안되고 있습니다. 이전에는 문제 없이 정상작동을 했던 코드입니다.
To Reproduce

버그를 재현하기 위한 재현절차를 작성해주세요.

boto3 <=1.15.18
gluonnlp >= 0.6.0, <=0.10.0
mxnet >= 1.4.0, <=1.7.0.post2
onnxruntime == 1.8.0, <=1.8.0
sentencepiece >= 0.1.6, <=0.1.96
torch >= 1.7.0, <=1.10.1
transformers >= 4.8.1, <=4.8.1
을 진행했을 때 원래는 됐었는데 코랩에서 실행이 되어지지 않습니다.
4월 말까지만 해도 정상 작동하던 코드입니다.
앞전의 이슈로 발생한  해결방법에 대해 따라해봤습니다. 그러나 되지지가 않는 현상입니다.
Expected behavior

오류는 import gluonnlp 오류 import kobert 오류 현상입니다.
Environment

코랩 -> python : 3.6, 3.7, 3.8을 사용했습니다.
Additional context

5월 8일이후에 코랩으로 돌려서 되는분 계시면 설치와 import 하는 방법을 공유좀 부탁드려도 될까요? 너무 답답합니다.   되던 코드가 갑자기 안되니까요...
지금 현재 코렙으로 오류가 발생을 하고 있습니다. 혹시 현재 기준으로 도움을 받을 수 있을까요?
코랩에서 4월말까지 모델 학습을 해두고 다른작업 이후 다시 돌려보니 import 오류가 발생되고 있습니다. 혹시 되시는분 알려주실 수 있을 까요?? 너무 알고 싶습니다. 왜이런 이유가 발생을 했는지요

지금 현재 코렙으로 오류가 발생을 하고 있습니다. 혹시 현재 기준으로 도움을 받을 수 있을까요?
코랩에서 4월말까지 모델 학습을 해두고 다른작업 이후 다시 돌려보니  import 오류가 발생되고 있습니다. 혹시 되시는분 알려주실 수 있을 까요?? 너무 알고 싶습니다. 왜이런 이유가 발생을 했는지요

!pip install mxnet
!pip install gluonnlp==0.8.0
!pip install tqdm pandas
!pip install torch
!pip install sentencepiece
!pip install transformers
!pip install 'git+https://github.com/SKTBrain/KoBERT.git#egg=kobert_tokenizer&subdirectory=kobert_hf'
from kobert_tokenizer import KoBERTTokenizer
from transformers import BertModel
from transformers import AdamW
from transformers.optimization import get_cosine_schedule_with_warmup
import torch
from torch import nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader
import gluonnlp as nlp
import numpy as np
from tqdm.notebook import tqdm
tokenizer = KoBERTTokenizer.from_pretrained('skt/kobert-base-v1')
bertmodel = BertModel.from_pretrained('skt/kobert-base-v1', return_dict=False)
vocab = nlp.vocab.BERTVocab.from_sentencepiece(tokenizer.vocab_file, padding_token='[PAD]')
class BERTSentenceTransform:
r"""BERT style data transformation.
Parameters
----------
tokenizer : BERTTokenizer.
    Tokenizer for the sentences.
max_seq_length : int.
    Maximum sequence length of the sentences.
pad : bool, default True
    Whether to pad the sentences to maximum length.
pair : bool, default True
    Whether to transform sentences or sentence pairs.
"""

def __init__(self, tokenizer, max_seq_length,vocab, pad=True, pair=True):
    self._tokenizer = tokenizer
    self._max_seq_length = max_seq_length
    self._pad = pad
    self._pair = pair
    self._vocab = vocab

def __call__(self, line):
    """Perform transformation for sequence pairs or single sequences.

    The transformation is processed in the following steps:
    - tokenize the input sequences
    - insert [CLS], [SEP] as necessary
    - generate type ids to indicate whether a token belongs to the first
    sequence or the second sequence.
    - generate valid length

    For sequence pairs, the input is a tuple of 2 strings:
    text_a, text_b.

    Inputs:
        text_a: 'is this jacksonville ?'
        text_b: 'no it is not'
    Tokenization:
        text_a: 'is this jack ##son ##ville ?'
        text_b: 'no it is not .'
    Processed:
        tokens: '[CLS] is this jack ##son ##ville ? [SEP] no it is not . [SEP]'
        type_ids: 0     0  0    0    0     0       0 0     1  1  1  1   1 1
        valid_length: 14

    For single sequences, the input is a tuple of single string:
    text_a.

    Inputs:
        text_a: 'the dog is hairy .'
    Tokenization:
        text_a: 'the dog is hairy .'
    Processed:
        text_a: '[CLS] the dog is hairy . [SEP]'
        type_ids: 0     0   0   0  0     0 0
        valid_length: 7

    Parameters
    ----------
    line: tuple of str
        Input strings. For sequence pairs, the input is a tuple of 2 strings:
        (text_a, text_b). For single sequences, the input is a tuple of single
        string: (text_a,).

    Returns
    -------
    np.array: input token ids in 'int32', shape (batch_size, seq_length)
    np.array: valid length in 'int32', shape (batch_size,)
    np.array: input token type ids in 'int32', shape (batch_size, seq_length)

    """

    # convert to unicode
    text_a = line[0]
    if self._pair:
        assert len(line) == 2
        text_b = line[1]

    tokens_a = self._tokenizer.tokenize(text_a)
    tokens_b = None

    if self._pair:
        tokens_b = self._tokenizer(text_b)

    if tokens_b:
        # Modifies `tokens_a` and `tokens_b` in place so that the total
        # length is less than the specified length.
        # Account for [CLS], [SEP], [SEP] with "- 3"
        self._truncate_seq_pair(tokens_a, tokens_b,
                                self._max_seq_length - 3)
    else:
        # Account for [CLS] and [SEP] with "- 2"
        if len(tokens_a) > self._max_seq_length - 2:
            tokens_a = tokens_a[0:(self._max_seq_length - 2)]

    # The embedding vectors for `type=0` and `type=1` were learned during
    # pre-training and are added to the wordpiece embedding vector
    # (and position vector). This is not *strictly* necessary since
    # the [SEP] token unambiguously separates the sequences, but it makes
    # it easier for the model to learn the concept of sequences.

    # For classification tasks, the first vector (corresponding to [CLS]) is
    # used as as the "sentence vector". Note that this only makes sense because
    # the entire model is fine-tuned.
    #vocab = self._tokenizer.vocab
    vocab = self._vocab
    tokens = []
    tokens.append(vocab.cls_token)
    tokens.extend(tokens_a)
    tokens.append(vocab.sep_token)
    segment_ids = [0] * len(tokens)

    if tokens_b:
        tokens.extend(tokens_b)
        tokens.append(vocab.sep_token)
        segment_ids.extend([1] * (len(tokens) - len(segment_ids)))

    input_ids = self._tokenizer.convert_tokens_to_ids(tokens)

    # The valid length of sentences. Only real  tokens are attended to.
    valid_length = len(input_ids)

    if self._pad:
        # Zero-pad up to the sequence length.
        padding_length = self._max_seq_length - valid_length
        # use padding tokens for the rest
        input_ids.extend([vocab[vocab.padding_token]] * padding_length)
        segment_ids.extend([0] * padding_length)

    return np.array(input_ids, dtype='int32'), np.array(valid_length, dtype='int32'),\
        np.array(segment_ids, dtype='int32')

class BERTDataset(Dataset):
def init(self, dataset, sent_idx, label_idx, bert_tokenizer,vocab, max_len,
pad, pair):
transform = BERTSentenceTransform(
tokenizer, max_seq_length=max_len,vocab=vocab,pad=pad, pair=pair)
    self.sentences = [transform([i[sent_idx]]) for i in dataset]
    self.labels = [np.int32(i[label_idx]) for i in dataset]

def __getitem__(self, i):
    return (self.sentences[i] + (self.labels[i], ))

def __len__(self):
    return (len(self.labels))

class BERTClassifier(nn.Module):
def init(self,
bert,
hidden_size = 768,
num_classes=6,
dr_rate=None,
params=None):
super(BERTClassifier, self).init()
self.bert = bert
self.dr_rate = dr_rate
    self.classifier = nn.Linear(hidden_size , num_classes)
    if dr_rate:
        self.dropout = nn.Dropout(p=dr_rate)

def gen_attention_mask(self, token_ids, valid_length):
    attention_mask = torch.zeros_like(token_ids)
    for i, v in enumerate(valid_length):
        attention_mask[i][:v] = 1
    return attention_mask.float()

def forward(self, token_ids, valid_length, segment_ids):
    attention_mask = self.gen_attention_mask(token_ids, valid_length)

    _, pooler = self.bert(input_ids = token_ids, token_type_ids = segment_ids.long(), attention_mask = attention_mask.float().to(token_ids.device))
    if self.dr_rate:
        out = self.dropout(pooler)
    else:
        out = pooler
    return self.classifier(out)

이렇게 해보세용

@kibeomi
이렇게 해봤는데 완되더라고요 ㅜㅜ 구글링 하면서 엄청 해봤는데... 혹시 코랩에서 저거 돌아가시나요?
from kobert import get_pytorch_kobert_model -> 이게 안되네요 ㅜㅜ

kobert가 import 안되서
!pip install 'git+https://github.com/SKTBrain/KoBERT.git#egg=kobert_tokenizer&subdirectory=kobert_hf' 이 코드로 설치하고
from kobert_tokenizer import KoBERTTokenizer
from transformers import BertModel
이렇게 하면 될텐데용

authors: cwoonb kibeomi

repo: SKTBrain/KoBERT


text:
Add transaction::is_active() and current_session()

Added two new getters methods to transaction object
transaction::is_active();        //Allow check if transaction is alive and prevent throw a c++ exception
transaction::current_session();  //Allow to get the db session from the current transaction. Very usefull to generate a new transaction if is commited.
//Example

void process_a( soci::transaction * trans )
{
  soci::transaction * transaction_ = trans;

  bool is_local_transaction = false;

  try
  {
      if ( transaction_->is_active() == false ) //The transaction is not alive
      {
          transaction_ = new soci::transaction( trans.current_session() ); //Generate new one

          is_local_transaction = true;
      }

      //Process data in db

      //...

      if ( is_local_transaction == true ) //Only apply if is local transaction
      {
          transaction_->commit(); //Apply the local transaction
      }
  }
  catch ( ... )
  {
      if ( transaction_->is_active() &&  //We save another nested try / catch
           is_local_transaction == true )
      {
          transaction_->rollback();
      }
  }

  if ( is_local_transaction )
  {
      delete transaction_;
  }
}

void process_b( soci::transaction * trans )
{
  soci::transaction * transaction_ = trans;

  bool is_local_transaction = false;

  try
  {
      if ( transaction_->is_active() == false ) //The transaction is not alive
      {
          transaction_ = new soci::transaction( trans->current_session() ); //Generate new one

          is_local_transaction = true;
      }

      //Process data in db

      process_a( transaction_ ); //Pass the transaction. But process_a not apply the transaction because is still alive

      //More db stuff

      //...

      if ( is_local_transaction == true ) //Only apply if is local transaction
      {
          transaction_->commit(); //Apply the local transaction
      }
  }
  catch ( ... )
  {
      if ( transaction_->is_active() &&  //We save another nested try / catch
           is_local_transaction == true )
      {
          transaction_->rollback();
      }
  }

  if ( is_local_transaction )
  {
      delete transaction_;
  }
}

int main( int argv, char *argc[] ) {

  soci::session db_connection = ...;

  soci::transaction trans( db_connection );

  //process_a not apply the transaction, is not local created
  process_a( &trans );

  trans->commit(); //Now the transaction is not active

  //Still work. process_a generate a local transaction by self,
  //and apply your local generated transaction
  process_a( &trans );

  //Still work. process_b generate a local transaction by self,
  //and pass to nested call in process_a, but process_a not apply that.
  //process_b must apply your local generated transaction
  process_b( &trans );

}

Hello @vadz. Are you there?

Sorry, I've somehow missed this one.
Returning to it now, I understand what this does, but still not why do we need. The logic of the example is quite convoluted and I just don't see why would we want to encourage writing code like this.
If you really need it, it looks like you could easily just wrap transaction in your own class or even use the session transaction-related functions directly. But there doesn't seem to be any need for them in the SOCI class itself.
Please let me know what I am missing if you disagree.

thanks for the feedback.
Is not possible wrap soci transaction class, because the data i need access is private and not protected. Before need change to protected section.

authors: sirlordt vadz

repo: SOCI/soci


text:
Invisible button fix

Fixed edit and delete buttons being invisible.
Pair programmed with Steven.
Closes #91.

Good stuff


text:
Fix describe groups

Related to https://github.com/SOHU-Co/kafka-node/issues/984 and https://github.com/SOHU-Co/kafka-node/pull/985
I also added an entry for createTopics in the admin section of the README. Current README has the createTopic entry under Producer. Is this incorrect? I can revert if necessary.

thanks for your contribution @ahmedlafta!

Published as 3.0.0

authors: ahmedlafta hyperlink

repo: SOHU-Co/kafka-node

license: mit

license_source: bigquery


text:
🛑 CAOSBI is down

In ea5f3d3, CAOSBI (https://caosbi.ayi-asociados.com/) was down:

HTTP code: 502
Response time: 3714 ms

Resolved: CAOSBI is back up in 20a7a44 after 13 minutes.

repo: SOPORTEAYIGROUP/AYIGROUP


text:
🛑 Gitlab Ayigroup is down

In d7ee73d, Gitlab Ayigroup (https://gitlab.ayi-asociados.com/) was down:

HTTP code: 503
Response time: 100 ms

Resolved: Gitlab Ayigroup is back up in 07a7766 after 2 days, 11 hours, 7 minutes.


text:
🛑 Internet EPEC is down

In 533abf9, Internet EPEC (190.96.117.110) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Internet EPEC is back up in 2b1a72e after 12 minutes.


text:
🛑 Internet EPEC is down

In e00b3db, Internet EPEC (190.96.117.110) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Internet EPEC is back up in 948f69a.


text:
PostgreSQL --> CockroachDB

Making our SQL database persistent.
Downside is that it's a bit clunky and hard to visualize. Basically you'll have to use get requests to get any data. It's hosted for free all the time on Cockroach's free tier plan, this will allow us to store sign in information and other persistent data we might need. Note: there may be conflicts. Also, there is a lot of unused code here kept for future uses if we run out of space for example.

This will be difficult to merge with the frontend changes branch. It will require careful testing.


text:
Support remote control through the UI

Since I live in florida, it is difficult to actually test things with real robots. Allowing the UI to be a web service that someone hits and controls would simplify any sort of testing for those of us who are remote.

The UI is web based and can be set up for remote access.

authors: JNeiger barulicm

repo: SSL-A-Team/software


text:
Extend the migration code

Hi @vutuong
For our work, we would like to extend your code to implement a pre-dump approach and later on also volume migration. Therefore I tried to understand your changes in the code but a few open questions remain. Perhaps you still know the code and can give me some help.

There are a lot of things considering Docker and DockerShim as well as files with fake in its name. Since you don't use docker (anymore) I assumed that these files are not important to the final solution and can be ignored.
I created a basic diagram of some of the important files of the migrate command. Thereby I have to main open points.

On the right side I don't get where the command is going. I think somewhere should be the CRIU commands, which are an important part that I have to change, but unfortunately, I couldn't locate them. If these are just functions called in containerd, where did you find the API for the CRIU commands?
In the kubelete part there is also some confusion about which path the command is following and therefore which files are important to me. For example the "kuberuntime_container.go" as well as the "instrumented_service.go" are calling the internalapi.RuntimeService.CheckPointContainer if I understand it correctly.

Hi @Minninnewah,

For the first question, the command not directly go to CRIU. Containerd-cri here just a GRPC server that listen the request from client ( kubelet). Please check: https://kubernetes.io/blog/2018/05/24/kubernetes-containerd-integration-goes-ga/ to understand the different between containerd-cri and containerd. Basically, after containerd-cri received requests from kubelet, the request will be processed by containerd itself. The container runtime such as: docker or containerd already had function that talk to CRIU to request checkpoint and restore without k8s.
For the second question, the missing part is GRPC connection between client (kubelet) and containerd-cri doesn't have any method called checkpoint and restore. In this PoC, we use the work from https://github.com/schrej/containerd-cri that extended GRPC server site to add checkpoint/restore method mapping to the checkpoint/restore task in containerd. Beside, in the GRPC client site (kubelet), we also extend to have checkpoint/restore method. You can found the method in pkg/kubelet/cri/remote/remote_runtime.go
As a result, we didn't care much about how conatainerd talks to criu. If you want to extend the predumpt at container runtime level, you have to look up for the source code of containerd itself. Another suggest from me, for my best knowledge, you can basically request the checkpoint multi time at kubelet level and rsync the checkpoint data to destination node and restore.
In this repo https://github.com/oiasam/ARNAB, the author show how he implement the predump within his paper https://ieeexplore.ieee.org/document/8907466. In this implement, they write a simple operator/controller in bash script that request lxc-container to checkpoint and restore. The same idea here is that we have k8s request to containerd ...

@vutuong Thank you for this extended information.
I checked out the containerd code and tried to replace it with my own version (a fork from the containerd commit that was for the release build 1.3.6).
It looks like this works but only if I use the precompiled containerd-cri
cd containerd/ #additional
wget https://k8s-pod-migration.obs.eu-de.otc.t-systems.com/v2/containerd
git clone https://github.com/SSU-DCN/podmigration-operator.git
cd podmigration-operator
tar -vxf binaries.tar.bz2
cd custom-binaries/
chmod +x containerd
sudo mv containerd /bin/

But as soon as I replace it with the following command an error occurs.
git clone https://github.com/Minninnewah/containerd-cri
cd containerd-cri/
go get github.com/containerd/cri/cmd/containerd
make
#sudo make install
sudo -E env "PATH=$PATH" make install
cd _output/
sudo mv containerd /bin/

The setup and running of the video pod still works fine but at the migration command I got the following error on the worker1 kubelet:

Do you know what's wrong?
Additionally, I don't understand the "go get" from the containerd repository. Doesn't the version matter, since there is no specific version defined?

hi @Minninnewah,
Please check if the containerd service still running well after replace the default binary with your own version. You should need to run command such as: systemctl status containerd, journalctl -xf -u containerd to get the log information.
Rememnber to set : $ chmod +x containerd before run the sudo mv containerd /bin/
FYI: Our PoC looks like out of date since a CRIU's maintainer from Redhat made some commits to K8s to achieve the migration goal.
https://www.youtube.com/watch?v=wCb1Rfoy7Fk
https://martinheinz.dev/blog/85?fbclid=IwAR072EnO8jQyxPtwtqdPMRLS7Ngi3XrAmllbpnHbngc90cvr5lB2l8QC5ME

@vutuong
With systemctl status containerd on worker1 I can't see anything wrong:

And journalctl -xf -u containerd also didn't show any errors:

The only hint I can find is the log from the last post when using journalctl -xf -u kubelet on worker1.
And in the podmigration operator (the blocking make run command):

Btw the container-cri GitHub repo I'm using is just a Fork from yours so the problem should not be in the code but rather in the compile or move commands. Did you use the same commands from your description to build the binaries?
cd $HOME/tmp
git clone https://github.com/Minninnewah/containerd-cri
cd containerd-cri/
go get github.com/containerd/cri/cmd/containerd  #Not sure about this step or if i need to use my own girhub repo again
make
#sudo make install
sudo -E env "PATH=$PATH" make install
cd _output/
chmod +x containerd
sudo mv containerd /bin/

@vutuong
I did some further investigation and can probably narrow down the error.
When I compare the binaries of the precompiled and the fresh build, they do not match.

Since different container versions (for installing the dependencies) did not affect the build in various tests, it looks like you use a different code base for building the precompiled containerd-cri. Can you tell me which version you used in the build process?

@Minninnewah
Sorry for the late reply.
So, in your case, You can make the podmigration with the pre-complied binary but not work with your own ?
Could please check the md5sum of two binary file ?  I used to pull the lastest version of library go get github.com/containerd/cri/cmd/containerd at that time as I noted in the document.

@vutuong
Exactly the precompiled file works but not when compiling it using your containerd-cri repository.
The md5sum for the self-compiled version:

The md5sum for the pre-compiled version:

Where does this deviation come from?

authors: Minninnewah vutuong

repo: SSU-DCN/podmigration-operator


text:
DMCサーバ接続失敗時にSmileサーバにフォールバックする

v2.5.5現在, DMCサーバが利用可能な動画について, DMCサーバへの接続が失敗するとストリーミング再生やダウンロードが出来ない。
DMCサーバ接続失敗時でもSmileサーバが利用可能な場合が多いため, フォールバックすることでストリーミング再生を可能にする(ダウンロードはDMC優先)。

DMCサーバメインになってしまったのでclose

repo: SSW-SCIENTIFIC/NNDD


text:
🐛 / 🔎 - Bug on search - Google doesn't show our individual rules pages!

Cc: @adamcogan @pierssinclairssw @jaydenalchin
Uly has noticed recently that we can’t google a rule anymore. All that we find when I google is the rule category roll up page (i.e. Rules to Better XXX), not the rule itself (i.e. Do you XXX)… even when extremely specific in the search term.
e.g. Trying to find this rule:  SSW.Rules | Do you know that it's bad to win the fight, but lose the customer?

Figure: ssw rules "Do you know that it's bad to win the fight, but lose the customer?" - Google Search
To Reproduce

Google - Go to https://www.google.com/search?q=ssw+rules+"Do+you+know+that+it's+bad+to+win+the+fight%2C+but+lose+the+customer%3F"&sxsrf=AOaemvIVYt1_g2k63KuR1VX1PSAZDU0Wqg%3A1637799478667&ei=NtaeYbuYKJ2a4t4PsPq56AE&ved=0ahUKEwi7i47BnrL0AhUdjdgFHTB9Dh0Q4dUDCA4&uact=5&oq=ssw+rules+"Do+you+know+that+it's+bad+to+win+the+fight%2C+but+lose+the+customer%3F"&gs_lcp=Cgdnd3Mtd2l6EAMyBAgjECc6BwgAEEcQsANKBAhBGABQ3gZY3hdgoSFoAXACeACAAYcBiAGIApIBAzAuMpgBAKABAcgBCMABAQ&sclient=gws-wiz

Bing - Go to https://www.bing.com/search?q=ssw+rules+"Do+you+know+that+it's+bad+to+win+the+fight%2C+but+lose+the+customer%3F"&qs=n&form=QBRE&sp=-1&pq=ssw+rules+"do+you+know+that+it's+bad+to+win+the+fight%2C+but+lose+the+customer%3F"+-&sc=0-80&sk=&cvid=89A692A767E44443BD978D467DD6A6C8

Tasks

Investigate why the individual rules are not showing in Google results
Make sure individual rules show up in Google search results

Environment
Any browser
Thanks!
AB#65681

Some of my investigation:
From Google Console it seems like the page is supposed to be indexed:

Note: As per https://stackoverflow.com/questions/26199705/github-repository-not-listing-in-google-search

Update 2019: the section "Enabling GitHub Pages to publish your site from master or gh-pages" is now (since 2014) more precise:
To select master or gh-pages as your publishing source, you must have the branch present in your repository.
If you don't have a master or gh-pages branch, you can create them and then return to source settings to change your publishing source.
Once the correct branch is created/populated, and selected as the publishing source, the Google indexing seems to be very quick.

Cc: @bradystroud @adamcogan @drwharris @tiagov8
Adding here questions asked by Camilla (Cannot @ Camilla for some reason)

Does Github generates a sitemap .xml?
Gatsby (what we use to build rules), does not automatically build a sitemap.xml. @bradystroud, you may be able to simply add this Gatsby plugin to generate it at build time.

Did that rule already exist before SSW rules were migrated to Github? If so, was that redirected?
Commits to this rule only date back to late November. Though the creation date on the rule itself is in 2010. It looks like it was redirected properly when the uri was changed.

Cc: @tkapa @adamcogan @drwharris @tiagov8
Hi @tkapa

Does Github generates a sitemap .xml?

Yes - the gatsby-plugin-sitemap plug was already enabled and is generating a sitemap
As per my conversation with @drwharris, we have investigated this problem.
We currently have 4 sitemap files on ssw.com.au

Root sitemap - https://www.ssw.com.au/sitemap.xml
SSW Website sitemap - https://www.ssw.com.au/ssw/sitemap.xml
SSW Rules sitemap index - https://www.ssw.com.au/rules/sitemap/sitemap-index.xml
SSW Rules sitemap - https://www.ssw.com.au/rules/sitemap/sitemap-index.xml

The SSW Rules index and sitemap files are generated by Gatsby on build, so they will always be up to date.
I have added the SSW Rules sitemap index to Google Search Console, which should ensure all rules are indexed during the next index. This should make all rules googlable.
The root sitemap contains some links to SSW Rules. These should be removed as they are included in SSW Rules sitemap.
The SSW Website sitemap has links to the old SharePoint rules pages.
e.g.
<url>
    <loc>https://www.ssw.com.au/ssw/Standards/Rules/RulesToBetterGoogleRankings.aspx</loc>
    <lastmod>2020-02-04T03:24:39+00:00</lastmod>
    <changefreq>weekly</changefreq>
    <priority>1.00</priority>
</url>

These should be removed as the pages don't exist.
No PBIs have been created for these tasks as the SSW Website is being moved to a new project, and these problems will be fixed as a result of this.
A re-index has been requested, but this can take weeks.

Check that SSW.Rules | Do you know that it's bad to win the fight, but lose the customer? is googleable 2 weeks from today.
If it is still not googleable, further investigation is required.

Cc: @tkapa @adamcogan @drwharris
Hey @tiagov8

Check that SSW.Rules | Do you know that it's bad to win the fight, but lose the customer? is googleable 2 weeks from today.
If it is still not googleable, further investigation is required.

Done - This rule is googleable

Figure: Found the rule by searching

authors: bradystroud tiagov8 tkapa


text:
Moving more facilities to the collectives module

This depends on #4068

Good idea! Should spmd_block be in collectives as well?

Good idea! Should spmd_block be in collectives as well?

Yes, probably so. I can add it.

This is good to go now

The only thing I'm a bit worried about is that the osu_bibw test now times out on all the debug builds on pycicle. I can't see anything that stands out though so it may just be temporary... I've started a couple of builds on rostam to see if it happens there as well.

Just a clarification question:
In the vtk library (+paraview etc), the modularization was done in such a way that for each module there is usually a set of submodules, with one being the parallel (MPI) version of each algorithm, so a serial build uses module graphics, and a parallel one can also pull in graphics/parallel etc etc
Are we going to have collectives (on node) and collectives/distributed (multinode) as distinct modules - and is this pattern intended for other modules too?

@biddisco yes. Collectives are pretty much by definition distributed so there won't be a local version of this module, but there is already an algorithms module with local parallel algorithms and segmented_algorithms for the distributed equivalents. The rest of the lcos are going to be split up the same way. They won't be "submodules" in the way you describe them, but there will be local and distributed modules wherever it makes sense.

The only thing I'm a bit worried about is that the osu_bibw test now times out on all the debug builds on pycicle.

@msimberg I think those were real timeouts. I have reduced the windows size used for this test in debug mode (number of messages send/received concurrently), that should take care of the problem.

authors: biddisco hkaiser msimberg

repo: STEllAR-GROUP/hpx


text:
Set CUDA compute capability on rostam Jenkins builds

This should fix the failed runs on rostam. As far as I can tell using sm_35 will compile for that and newer architectures so this should work on the K40, K80, and V100.
Flyby: I increased the test timeouts on daint and rostam to 5 minutes. I think some of the timeouts on compile-only tests are simply due to occasionally slow filesystems.

There's a bit of a queue on rostam at the moment... so please don't merge this before we see that the CUDA builds actually improved over there.


text:
Prevent warnings generated by clang-cl

clang-cl does not support [[no_unique_address]] nor does it support [[msvc::no_unique_address]]. This PR fixes the related warning generated by it.

bors merge


text:
OCTOSPI_CR_DQM defined nowhere

Release is 1.1.0
I only tried to compile stm32u5xx_hal_ospi.h and I get a compiler error. In fact OCTOSPI_CR_DQM is defined nowhere
There has been renamming between OCTOSPI_CR_DMM and OCTOSPI_CR_DQM ?
also RCC_CCIPR1_CLK48MSEL_0 is defined nowhere
same for RCC_CCIPR1_CLK48MSEL
How could this release even pass any automated test tool ?

Hi @atsju,
Thank you for your report. An internal tracker has been logged and a fix will be implemented and made available in the frame of a future release.
Thank you again for you report.
With regards,

ST Internal Reference: 126247

authors: RKOUSTM atsju


text:
🛑 SPCast / Loadbalancer is down

In 427c3ee, SPCast / Loadbalancer (https://loadbalancer.sp.radio.fm/) was down:

HTTP code: 0
Response time: 0 ms

Resolved: SPCast / Loadbalancer is back up in cc34dc6 after 11 minutes.


text:
Training dataset

When processing training dataset, how to generate corresponding annotations after cropping the training dataset?

The detailed processing is in the readme.md
python gen_json.py could generate the annotations.

authors: CXSunshine StrangerZhang

repo: STVIR/pysot


text:
Update Menu.js

Related Issue
Fixes #395
Description
[added feature to go back to home page when unicollab icon is pressed]
Type of PR

[X] Feature enhancement

Checklist:

[X ] I have performed a self-review of my code
[X ] I have read and followed the Contribution Guidelines.
[X] I have tested the changes thoroughly before submitting this pull request.
[X] I have provided relevant issue numbers, screenshots, and videos after making the changes.
[X] I have commented my code, particularly in hard-to-understand areas.

Thankyou

done

done

Need to update again

can you do it now?

repo: SUGAM-ARORA/UniCollab


text:
Fix upstream build from git

While updatting PR, a chdir() context change was forgottent,
leading to a failure when building from GIT.
This PR fixes taht by using workspace.execute() and its chdir
parameter.

commit message has several typos and could you add the commit sha there to know which commit broke it?

I updated commit msg but it does not update comment above.

Failures are not related to the code.
If you're happy with it I'll merge this PR. Waiting for your approvals @jhesketh and @toabctl

lgtm, thanks :-)

authors: brunoleon jhesketh toabctl

repo: SUSE/rookcheck


text:
🛑 Rahanet Movie AF is down

In 898b8fd, Rahanet Movie AF (http://movie.af/) was down:

HTTP code: 403
Response time: 1426 ms

Resolved: Rahanet Movie AF is back up in 55ee95b after 11 minutes.

repo: Saboor-Hakimi/upptime


text:
Color Fight application development plan

Color Fight application development plan

Learning List —— Color Fight

修改建议

文件名中不要加空格,可以用-代替(空格在命令行里面会出问题)
文件格式为 .md
往Master分支推 (NINGZHILIANG/pr3 -> SHStudio/Master)

我已经改过了

收到
------------------ 原始邮件 ------------------
发件人: "Zhiquan.Wang"notifications@github.com;
发送时间: 2018年6月30日(星期六) 晚上8:36
收件人: "SabreHawk-Studio/Development-Dashboard"Development-Dashboard@noreply.github.com;
抄送: "≮梦花★如雪≯"2198115887@qq.com; "Author"author@noreply.github.com;
主题: Re: [SabreHawk-Studio/Development-Dashboard] Color Fight applicationdevelopment plan (#3)
修改建议
文件名中不要加空格,可以用-代替(空格在命令行里面会出问题)
文件格式为 .md
往Master分支推 (NINGZHILIANG/pr3 -> SHStudio/Master)
我已经改过了
—
You are receiving this because you authored the thread.
Reply to this email directly, view it on GitHub, or mute the thread.

authors: NINGZHILIANG SabreHawk

repo: SabreHawk-Studio/Development-Dashboard


text:
update

updating some icons

I don't know about this. While some individual icons you added look nice, the result of this PR feels kind of incoherent. For example you add an outlined icon for version and upgrade, but leave the prerelease and yanked icons as is.


text:
Set number of trees for random forests

Is your feature request related to a problem?
It's not possible to set the number of trees of random forests (classifier & regressor).
Desired solution

Add a new parameter number_of_trees: int to the initializer of safeds.ml.classification.RandomForest and safeds.ml.regression.RandomForest
Raise a value error if number_of_trees < 1
Pass it along to n_estimators of the wrapped scikit-learn model in the fit method

Possible alternatives (optional)
No response
Screenshots (optional)
No response
Additional Context (optional)
No response

:tada: This issue has been resolved in version 0.12.0 :tada:
The release is available on:

v0.12.0
GitHub release

Your semantic-release bot :package::rocket:

repo: Safe-DS/Stdlib


text:
feat: convert image to grayscale

Closes #287
Summary of Changes

feat: Added method that returns converted grayscale image but leaves the original unchanged.

🦙 MegaLinter status: ✅ SUCCESS

Descriptor
Linter
Files
Fixed
Errors
Elapsed time

✅ PYTHON
black
2
2
0
0.86s

✅ PYTHON
mypy
2

0
1.81s

✅ PYTHON
ruff
2
2
0
0.02s

✅ REPOSITORY
git_diff
yes

no
0.0s

See detailed report in MegaLinter reports
Set VALIDATE_ALL_CODEBASE: true in mega-linter.yml to validate all sources, not only the diff
MegaLinter is graciously provided by

:tada: This PR is included in version 0.14.0 :tada:
The release is available on:

v0.14.0
GitHub release

Your semantic-release bot :package::rocket:


text:
Broken URL in https://docs.saganize.com/get-started/

The subdomain of https://saganize.com i.e docs.saganize.com has broken URL at
https://docs.saganize.com/get-started/. The page has a forwarding link to Dashboard but gives 404 as the route used is incorrect.
Used route : https://docs.saganize.com/get-started/dashboard/
Correct route: https://dashboard.saganize.com/

Fixed it. Thanks!

repo: Saganize/Solwave-kt


text:
Add initial dream challenge tags in JSON format

The past DREAM challenge data and stored them in a Google spreadsheet as described in #42.
To re-scope the task of this PR:

[ ] extract keywords from the spreadsheet and convert it to a tags.json
[ ] add tags.json to src/app/seeds/dream/

My apology!
I have adopted your suggestion and re-scoped this PR @tschaffter.
New commit  ce3032e is added as well, which now only adds the tags in JSON format.

repo: Sage-Bionetworks/rocc-app


text:
help コマンドで要素が2回表示される

各要素が2回ずつ表示されるバグ

fixed

repo: Sakaki-Aruka/custom-crafter


text:
🛑 Nostr Relay - wss://brb.io is down

In 9951ebc, Nostr Relay - wss://brb.io (https://brb.io) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Nostr Relay - wss://brb.io is back up in 1af7edf.

repo: Sakhalinfox/orangepilldevuptime


text:
🛑 Nostr Relay - wss://brb.io is down

In 92854b3, Nostr Relay - wss://brb.io (https://brb.io) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Nostr Relay - wss://brb.io is back up in d716a17.


text:
fix formatting

Fixed formatting

Looks good to me! Thanks for the help @kashif! We will also add pre-commit hooks for formatting later.

authors: kashif liu-jc

repo: SalesforceAIResearch/gift-eval


text:
freq is None for Weather samples, causing finetuning error

Describe the bug
When finetuning moriai on Weather dataset, errors occur due to freq of data_entry being None.
To Reproduce

Build the weather dataset for LSF finetuning.

python -m uni2ts.data.builder.simple weather "PATH_TO_LSF_DATASET/weather/weather.csv"  --dataset_type wide --offset 36887

Create the config files for weather dataset.

cli/conf/finetune/data/weather.yaml

_target_: uni2ts.data.builder.simple.SimpleDatasetBuilder
dataset: weather

cli/conf/finetune/val_data/weather.yaml

_target_: uni2ts.data.builder.ConcatDatasetBuilder
_args_:
  _target_: uni2ts.data.builder.simple.generate_eval_builders
  dataset: weather_eval
  offset: 36887 # Same as _lsf_dataset.py
  eval_length: 5269 # Same as _lsf_dataset.py; test_length=10539
  prediction_lengths: [96]
  context_lengths: [3000]
  patch_sizes: [128]

Run the codes for finetuning:

python -m cli.train -cp conf/finetune run_name=example_run model=moirai_1.0_R_small data=weather val_data=weather

Expected behavior
The following error will occur:
...
Original Traceback (most recent call last):
  File "/home/eee/qzz/SF_main/uni2ts/venv/lib/python3.10/site-packages/torch/utils/data/_utils/worker.py", line 309, in _worker_loop
    data = fetcher.fetch(index)  # type: ignore[possibly-undefined]
  File "/home/eee/qzz/SF_main/uni2ts/venv/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 52, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/home/eee/qzz/SF_main/uni2ts/venv/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 52, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/home/eee/qzz/SF_main/uni2ts/venv/lib/python3.10/site-packages/torch/utils/data/dataset.py", line 350, in __getitem__
    return self.datasets[dataset_idx][sample_idx]
  File "/home/eee/qzz/SF_main/uni2ts/src/uni2ts/data/dataset.py", line 73, in __getitem__
    return self.transform(self._flatten_data(self._get_data(idx)))
  File "/home/eee/qzz/SF_main/uni2ts/src/uni2ts/transform/_base.py", line 62, in __call__
    data_entry = t(data_entry)
  File "/home/eee/qzz/SF_main/uni2ts/src/uni2ts/transform/patch.py", line 91, in __call__
    constraints = self.patch_size_constraints(freq)
  File "/home/eee/qzz/SF_main/uni2ts/src/uni2ts/transform/patch.py", line 39, in __call__
    start, stop = self._get_boundaries(offset.n, norm_freq_str(offset.name))
AttributeError: 'NoneType' object has no attribute 'n'
. Did you mean: '_return_value'?

Root cause tracking
This issue arises becausefreq for each data_entry is None.

The problem is due to the use of pd.infer_freq in simple.py, which return None for the Weather dataset (and possibly other datasets).

Environment

Operating system: Linux 6.5.0
Python version: Python 3.10.12
PyTorch version: 2.4.0
uni2ts version: Latest version.

Hi @zqiao11,
Thanks for pointing out this issue! According to pandas doc, it's possible to return None if no discernible frequency. I would suggest setting it to a default frequency (maybe hourly) when it gets None with pd.infer_freq. If you want, you can create a PR for this. Otherwise, we will fix this soon :)

Hi @liu-jc. Thank you for your prompt reply. Sure, I can fix that issue and create a PR later :)


text:
Removing Primary Contact without First Name on Manage Household page does not actually remove Primary Contact

2 Contacts with no First Name are added to a Household through the Manage Household button. If the original Contact that was Primary Contact of the Household the Manage Household button was push on is removed:

The Manage Household page's Primary Contact field is not cleared out
Upon saving, the original Primary Contact remains the Household's Primary Contact
Both Contacts are merged into the new Household

Steps to Recreate

Create a contact without a first name
Visit that household, and add another contact without a first name to the same household
Click Manage Household
Click "X" on the contact that is currently a Primary Contact. Leave the Primary Contact field untouched
Click "Remove" on the modal that appears.
Click Save
Notice that the household name may change briefly. The Primary Contact field is still the same as before

Workaround
Give the Contacts placeholder First Name values, in order for the Household separation process to properly execute.

**lurch: add

Tracking W-041293

**lurch: detach

Detached W-041293

W-7540256

Please follow this Known Issue in the Trailblazer Community for updates.

authors: LurchTheButler kporray1 mbeaty-sf

repo: SalesforceFoundation/NPSP


text:
[K12] K-12 Additions to Education History Object & Grade Enrollment

Note: FOR INTERNAL USE ONLY. For support questions, please use the EDA Chatter group in The Power of Us Hub.
For feature requests, please use the Ideas tab in The Power of Us Hub.

Do you want to request a feature or report a bug?
Feature

What is the current behavior?
When creating or updating a Grade Enrollment record referencing an Education History record that is not associated with the same Institution specified by the Educational Institution field on the Grade Enrollment, there is no warning message displayed and the Grade Enrollment record is created or updated with the mismatching institutional data.

What is the expected behavior?
When creating or updating a Grade Enrollment record that references an Education History record with a specified Educational Institution that does not match the value specified by the Educational Institution field on the Grade Enrollment, a warning message should be displayed and the Grade Enrollment record should not be created or updated.  Blank values for Educational Institution should not be evaluated.

What is the motivation / use case for changing the behavior?
When creating an Education History record there are multiple scenarios that would allow a user to create bad data. Specifically when the Education Institution on the Education History Record does not match the Education Institution on the related Grade Enrollment.

Acceptance Criteria

Given: creating or saving an Education History record
When: the Education Institution on the Education History Record does not match the Education Institution on the related Grade Enrollment;
Then: the user is not allowed to save

tracking W-7930300


text:
Proper way to inject Android Context.

Hi, what is the proper way to inject Android Context?

Hi,
it's currently not possible, nor should it be.
By definition, stocking a Context should only be done with extreme care to prevent memory leak.
Furthermore, the Context depends... on the context. Whether you want the Activity, a Service, the Application context, etc. depends on the location and purpose of your code.
At most, you could register the Application object (which is a Context) in your kodein bindings ;)

authors: SalomonBrys matoushybl

repo: SalomonBrys/Kodein


text:
global install.

^

Thanks!

:+1:

authors: SamVerschueren hemanth

repo: SamVerschueren/dev-time-cli


text:
Add New Loader.

Must be a lazy loader
Must be professional
Not very fancy but good animations are appreciated.

Assigned to @LoNeWoLf003

Noted.


text:
[draft] Introduce unittest CI

Let's introduce unittest CI.
ONE-vscode-DCO-1.0-Signed-off-by: Yongseop Kim yons.kim@samsung.com

Okay, it works now.

repo: Samsung/ONE-vscode