Closed apfelix closed 2 months ago
Hi,
I encountered a problem using SCIP with the model attached as linopy_pyscipopt_bug.txt (I used the extension .txt to allow the github update).
.txt
Then the following code
import linopy m = linopy.read_netcdf("linopy_pyscipopt_bug.txt") m.solve(solver_name="scip")
leads to
... 2.4s| 1 | 0 | 3568 | - | 20M | 0 |1212 |1294 |1533 | 170 | 34 | 26 | 23 |-1.900244e+02 |-1.900248e+02 | 0.00%| unknown 2.4s| 1 | 0 | 3571 | - | 20M | 0 |1212 |1294 |1521 | 171 | 35 | 26 | 23 |-1.900244e+02 |-1.900248e+02 | 0.00%| unknown time | node | left |LP iter|LP it/n|mem/heur|mdpt |vars |cons |rows |cuts |sepa|confs|strbr| dualbound | primalbound | gap | compl. 2.4s| 1 | 0 | 3578 | - | 20M | 0 |1212 |1272 |1521 | 171 | 36 | 31 | 26 |-1.900247e+02 |-1.900248e+02 | 0.00%| unknown 2.4s| 1 | 2 | 3578 | - | 20M | 0 |1212 |1272 |1521 | 171 | 37 | 31 | 26 |-1.900247e+02 |-1.900248e+02 | 0.00%| unknown SCIP Status : problem is solved [optimal solution found] Solving Time (sec) : 2.39 Solving Nodes : 3 Primal Bound : -1.90024835941863e+02 (3 solutions) Dual Bound : -1.90024835941863e+02 Gap : 0.00 % [cons_linear.c:18749] ERROR: constraint is not linear Traceback (most recent call last): File "debug.py", line 4, in <module> m.solve(solver_name="scip") File "venv/lib/python3.11/site-packages/linopy/model.py", line 1060, in solve result = func( ^^^^^ File "venv/lib/python3.11/site-packages/linopy/solvers.py", line 758, in run_scip solution = safe_get_solution(status, get_solver_solution) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "venv/lib/python3.11/site-packages/linopy/solvers.py", line 116, in safe_get_solution return func() ^^^^^^ File "venv/lib/python3.11/site-packages/linopy/solvers.py", line 751, in get_solver_solution dual = set_int_index(dual) ^^^^^^^^^^^^^^^^^^^ File "venv/lib/python3.11/site-packages/linopy/solvers.py", line 142, in set_int_index series.index = series.index.str[1:].astype(int) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "venv/lib/python3.11/site-packages/pandas/core/indexes/base.py", line 1089, in astype new_values = astype_array(values, dtype=dtype, copy=copy) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "venv/lib/python3.11/site-packages/pandas/core/dtypes/astype.py", line 183, in astype_array values = _astype_nansafe(values, dtype, copy=copy) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "venv/lib/python3.11/site-packages/pandas/core/dtypes/astype.py", line 134, in _astype_nansafe return arr.astype(dtype, copy=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ValueError: invalid literal for int() with base 10: 'f1_18'
Versions:
linopy==0.3.8 pandas==2.1.3 PySCIPOpt==5.0.0
Hi,
I encountered a problem using SCIP with the model attached as linopy_pyscipopt_bug.txt (I used the extension
.txt
to allow the github update).Then the following code
leads to
Versions: